{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore resting state BOLD fMRI data (work in progress ...)\n",
    "\n",
    "BMED360-2021  `03-Resting-state-fmri-explore.ipynb`\n",
    "\n",
    "(using selected datasets from the Brain-Gut BIDS collection and open data from Nilearn and OpenNeuro) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/computational-medicine/BMED360-2021/blob/main/Lab6-Networks-Graphs/03-Resting-state-fmri-explore.ipynb\">\n",
    "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
    "</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learning objectives:\n",
    "\n",
    "\n",
    "Three major topics\n",
    "\n",
    "\n",
    "- #### The nature of 4D (3D+time) resting state BOLD fMRI data\n",
    "See also: _What is meant by resting state fMRI? How is it used?_ in [[mriquestions.com](http://mriquestions.com/resting-state-fmri.html)] <br>\n",
    "and Gili Karni's _Identifying Resting-State Networks from fMRI Data Using ICAs -\n",
    "A hands-on tutorial: from data collection to feature extraction_ [[here](https://towardsdatascience.com/exploring-cognitive-differences-via-resting-state-networks-2112bf5291e2)] and [[here](https://github.com/karnigili/Computational-Neuroscience)]<br>\n",
    "List of functional connectivity software on Wikipedia is [[here](https://en.wikipedia.org/wiki/List_of_functional_connectivity_software)].\n",
    "\n",
    "\n",
    "- #### BIDS: Brain Imaging Data Structure\n",
    "The Brain Imaging Data Structure (BIDS) is a standard prescribing a formal way to name and organize MRI data and metadata in a file system that simplifies communication and collaboration between users and enables easier data validation and software development through using consistent paths and naming for data files. (See: https://bids.neuroimaging.io and https://training.incf.org/lesson/introduction-brain-imaging-data-structure-bids).<br> We will be using `pybids` (https://github.com/bids-standard/pybids) (included by `pip install pybids` in the `environment.yml`file) to access the `./data/bids_bg_bmed360` information (e.g. `participants.tsv`)\n",
    "\n",
    "- #### Open science with Open data (BIDS validated)\n",
    "E.g. Explore the **OpenNeuro** collection:  https://openneuro.org/datasets/ds000030/versions/1.0.0 + https://f1000research.com/articles/6-1262/v2<br>\n",
    "How to download such a large dataset (Files: 9010, Size: 79.28GB, Subjects: 272) using the AWS Command Line Interface (https://aws.amazon.com/cli). The `derivatives` are the preprocessed data using `fmriprep`.\n",
    "```\n",
    "aws s3 sync --no-sign-request s3://openneuro.org/ds000030 ds000030-download/\n",
    "aws s3 sync --no-sign-request s3://openneuro/ds000030/ds000030_R1.0.5/uncompressed/derivatives/ ds000030-derivatives-download/\n",
    "```\n",
    "Bilder, R and Poldrack, R and Cannon, T and London, E and Freimer, N and Congdon, E and Karlsgodt, K and Sabb, F (2020). UCLA Consortium for Neuropsychiatric Phenomics LA5c Study. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000030.v1.0.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some instructive videos on resting state fMRI and the BIDS - Brain Imaging Data Structure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/1A76JgNrEqI\" \n",
       "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
       "</iframe>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%HTML\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/1A76JgNrEqI\" \n",
    "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
    "</iframe>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/DavxePlS94w\" \n",
       "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
       "</iframe>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "%%HTML\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/DavxePlS94w\" \n",
    "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
    "</iframe>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/kxj0PLyzYsg\" \n",
       "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
       "</iframe>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "%%HTML\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/kxj0PLyzYsg\" \n",
    "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
    "</iframe>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/rAbNbpcUNdY\" \n",
       "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
       "</iframe>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "%%HTML\n",
    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/rAbNbpcUNdY\" \n",
    "frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen>\n",
    "</iframe>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set this to True if you are using Colab:\n",
    "colab=False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### For using Google Colab\n",
    "**--> (some of) the following libraries must be `pip installed`):**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "if colab:\n",
    "    !pip install gdown\n",
    "    !pip install nibabel\n",
    "    !pip install pybids\n",
    "    !pip install nilearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will be using pybids in our bmed360 environment, if not already installed: uncomment the following\n",
    "#!pip install pybids"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up libraries and folders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gdown\n",
    "import shutil\n",
    "import sys\n",
    "import os\n",
    "from os.path import expanduser, join, basename, split\n",
    "import glob\n",
    "import shutil\n",
    "import platform\n",
    "import pathlib\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import nibabel as nib\n",
    "import bids\n",
    "from nilearn import datasets, plotting, image\n",
    "import warnings\n",
    "\n",
    "%matplotlib inline\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "cwd = os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "working_dir = join(cwd, 'data')\n",
    "bids_dir = '%s/bids_bg_bmed360' % (working_dir)\n",
    "openneuro_dir = '%s/OpenNeuro' % (working_dir)\n",
    "assets_dir =  join(cwd, 'assets')\n",
    "sol_dir =  join(cwd, 'solutions')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check your platform for running this notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, you are running on MacOS (Darwin Kernel Version 20.4.0: Thu Apr 22 21:46:47 PDT 2021; root:xnu-7195.101.2~1/RELEASE_X86_64)\n"
     ]
    }
   ],
   "source": [
    "if platform.system() == 'Darwin':\n",
    "    print(f'OK, you are running on MacOS ({platform.version()})')\n",
    "if platform.system() == 'Linux':\n",
    "    print(f'OK, you are running on Linux ({platform.version()})')\n",
    "if platform.system() == 'Windows':\n",
    "    print(f'OK, but consider to install WSL for Windows10 since you are running on {platform.system()}')\n",
    "    print('Check https://docs.microsoft.com/en-us/windows/wsl/install-win10')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download the data\n",
    "\n",
    "**Download a files (not on GitHub repository) from Google Drive using gdown** (https://github.com/wkentaro/gdown)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data  exists already!\n"
     ]
    }
   ],
   "source": [
    "# Download zip-file if ./data does not exist (as when running in Colab)\n",
    "\n",
    "if os.path.isdir(working_dir) == False:\n",
    "    \n",
    "    ## Download data.zip for Google Drive             \n",
    "    #https://drive.google.com/file/d/1CSIUGSYAplD2mxjuidVkfbXrPzoyjFNi/view?usp=sharing\n",
    "    file_id = '1CSIUGSYAplD2mxjuidVkfbXrPzoyjFNi'\n",
    "    url = 'https://drive.google.com/uc?id=%s' % file_id\n",
    "    output = './data.zip'\n",
    "    gdown.download(url, output, quiet=False)\n",
    "    \n",
    "    ## Unzip the assets file into `./data`\n",
    "    shutil.unpack_archive(output, '.')\n",
    "    \n",
    "    ## Delete the `data.zip` file\n",
    "    os.remove(output)\n",
    "else:\n",
    "    print(f'./data  exists already!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./assets  exists already!\n"
     ]
    }
   ],
   "source": [
    "# Download zip-file if ./assets does not exist (as when running in Colab)\n",
    "\n",
    "if os.path.isdir(assets_dir) == False:\n",
    "    \n",
    "    ## Download assets.zip for Google Drive            \n",
    "    # https://drive.google.com/file/d/1tRcRTxNT8nwNFrmGYJqo1B8WgGJ2yEgq/view?usp=sharing\n",
    "    file_id = '1tRcRTxNT8nwNFrmGYJqo1B8WgGJ2yEgq'\n",
    "    url = 'https://drive.google.com/uc?id=%s' % file_id\n",
    "    output = 'assets.zip'\n",
    "    gdown.download(url, output, quiet=False)\n",
    "    \n",
    "    ## Unzip the assets file into `./assets`\n",
    "    shutil.unpack_archive(output, '.')\n",
    "    \n",
    "    ## Delete the `assets.zip` file\n",
    "    os.remove(output)\n",
    "else:\n",
    "    print(f'./assets  exists already!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./solutions  exists already!\n"
     ]
    }
   ],
   "source": [
    "# Download zip-file if ./solutions does not exist (as when running in Colab)\n",
    "\n",
    "if os.path.isdir(sol_dir) == False:\n",
    "    \n",
    "    ## Download assets.zip for Google Drive            \n",
    "    # https://drive.google.com/file/d/16MuT-pshT473eADdqhFr_dmb-4QPGt4r/view?usp=sharing\n",
    "    file_id = '16MuT-pshT473eADdqhFr_dmb-4QPGt4r'\n",
    "    url = 'https://drive.google.com/uc?id=%s' % file_id\n",
    "    output = 'solutions.zip'\n",
    "    gdown.download(url, output, quiet=False)\n",
    "    \n",
    "    ## Unzip the assets file into `./solutions`\n",
    "    shutil.unpack_archive(output, '.')\n",
    "    \n",
    "    ## Delete the `solutions.zip` file\n",
    "    os.remove(output)\n",
    "else:\n",
    "    print(f'./solutions  exists already!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BIDS: Brain Imaging Dataset Specification\n",
    "\n",
    "Recently, there has been growing interest to share datasets across labs and even on public repositories such as [openneuro](https://openneuro.org/). In order to make this a succesful enterprise, it is necessary to have some standards in how the data are named and organized. Historically, each lab has used their own idiosyncratic conventions, which can make it difficult for outsiders to analyze. In the past few years, there have been heroic efforts by the neuroimaging community to create a standardized file organization and naming practices. This specification is called **BIDS** for [Brain Imaging Dataset Specification](http://bids.neuroimaging.io/).\n",
    "\n",
    "As you can imagine, individuals have their own distinct method of organizing their files. Think about how you keep track of your files on your personal laptop (versus your friend). This may be okay in the personal realm, but in science, it's best if anyone (especially  yourself 6 months from now!) can follow your work and know *which* files mean *what* by their titles.\n",
    "\n",
    "Here's an example of non-Bids versus BIDS dataset found in [this paper](https://www.nature.com/articles/sdata201644):\n",
    "\n",
    "![file_tree](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fsdata.2016.44/MediaObjects/41597_2016_Article_BFsdata201644_Fig1_HTML.jpg?as=webp)\n",
    "\n",
    "Here are a few major differences between the two datasets:\n",
    "\n",
    "1. In BIDS, files are in nifti format (not dicoms).\n",
    "2. In BIDS, scans are broken up into separate folders by type of scan(functional versus anatomical versus diffusion weighted) for each subject.\n",
    "3. In BIDS, JSON files are included that contain descriptive information about the scans (e.g., acquisition parameters)\n",
    "\n",
    "Not only can using this specification be useful within labs to have a set way of structuring data, but it can also be useful when collaborating across labs, developing and utilizing software, and publishing data.\n",
    "\n",
    "In addition, because this is a consistent format, it is possible to have a python package to make it easy to query a dataset. We recommend using [pybids](https://github.com/bids-standard/pybids).\n",
    "\n",
    "The dataset we will be working with has already been converted to the BIDS format (see download localizer tutorial). \n",
    "\n",
    "You may need to install [pybids]() to query the BIDS datasets using following command `!pip install pybids` (in colab), or<br>\n",
    "`conda install -c aramislab pybids` (old version 0.5.1 !) in the `bmed360` conda environment."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The `BIDSLayout`\n",
    "[Pybids](https://github.com/bids-standard/pybids) is a package to help query and navigate a neurogimaging dataset that is in the BIDs format. At the core of pybids is the `BIDSLayout` object. A `BIDSLayout` is a lightweight Python class that represents a BIDS project file tree and provides a variety of helpful methods for querying and manipulating BIDS files. While the BIDSLayout initializer has a large number of arguments you can use to control the way files are indexed and accessed, you will most commonly initialize a BIDSLayout by passing in the BIDS dataset root location as a single argument.\n",
    "\n",
    "Notice we are setting `derivatives=True`. This means the layout will also index the derivatives sub folder, which might contain preprocessed data, analyses, or other user generated files. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BIDS Layout: ...ks-Graphs/data/bids_bg_bmed360 | Subjects: 4 | Sessions: 8 | Runs: 0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bids import BIDSLayout, BIDSValidator\n",
    "\n",
    "#bids.config.set_option('extension_initial_dot', True)\n",
    "\n",
    "data_dir = bids_dir\n",
    "layout = BIDSLayout(data_dir, derivatives=False)\n",
    "layout"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we initialize a BIDSLayout, all of the files and metadata found under the specified root folder are indexed. This can take a few seconds (or, for very large datasets, a minute or two). Once initialization is complete, we can start querying the BIDSLayout in various ways. The main query method is `.get()`. If we call .`get()` with no additional arguments, we get back a list of all the BIDS files in our dataset.\n",
    "\n",
    "Let's return the first 10 files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<BIDSJSONFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/dataset_description.json'>,\n",
       " <BIDSJSONFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/participants.json'>,\n",
       " <BIDSDataFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/participants.tsv'>,\n",
       " <BIDSFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/README'>,\n",
       " <BIDSJSONFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/anat/sub-102_ses-1_T1w.json'>,\n",
       " <BIDSImageFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/anat/sub-102_ses-1_T1w.nii.gz'>,\n",
       " <BIDSFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/dwi/sub-102_ses-1_dwi.bval'>,\n",
       " <BIDSFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/dwi/sub-102_ses-1_dwi.bvec'>,\n",
       " <BIDSJSONFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/dwi/sub-102_ses-1_dwi.json'>,\n",
       " <BIDSImageFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/sub-102/ses-1/dwi/sub-102_ses-1_dwi.nii.gz'>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.get()[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you call .get() on a BIDSLayout, the default returned values are objects of class BIDSFile. A BIDSFile is a lightweight container for individual files in a BIDS dataset. \n",
    "\n",
    "Here are some of the attributes and methods available to us in a BIDSFile (note that some of these are only available for certain subclasses of BIDSFile; e.g., you can't call get_image() on a BIDSFile that doesn't correspond to an image file!):\n",
    "\n",
    "- .path: The full path of the associated file\n",
    "- .filename: The associated file's filename (without directory)\n",
    "- .dirname: The directory containing the file\n",
    "- .get_entities(): Returns information about entities associated with this BIDSFile (optionally including metadata)\n",
    "- .get_image(): Returns the file contents as a nibabel image (only works for image files)\n",
    "- .get_df(): Get file contents as a pandas DataFrame (only works for TSV files)\n",
    "- .get_metadata(): Returns a dictionary of all metadata found in associated JSON files\n",
    "- .get_associations(): Returns a list of all files associated with this one in some way\n",
    "\n",
    "Let's explore the first file in a little more detail."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BIDSJSONFile filename='/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/dataset_description.json'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = layout.get()[0]\n",
    "f"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want a summary of all the files in your BIDSLayout, but don't want to have to iterate BIDSFile objects and extract their entities, you can get a nice bird's-eye view of your dataset using the `to_df()` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>entity</th>\n",
       "      <th>path</th>\n",
       "      <th>datatype</th>\n",
       "      <th>extension</th>\n",
       "      <th>session</th>\n",
       "      <th>subject</th>\n",
       "      <th>suffix</th>\n",
       "      <th>task</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/Users/arvid/GitHub/computational-medicine/BME...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>json</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>description</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/Users/arvid/GitHub/computational-medicine/BME...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>json</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>participants</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/Users/arvid/GitHub/computational-medicine/BME...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tsv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>participants</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/Users/arvid/GitHub/computational-medicine/BME...</td>\n",
       "      <td>anat</td>\n",
       "      <td>json</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>T1w</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/Users/arvid/GitHub/computational-medicine/BME...</td>\n",
       "      <td>anat</td>\n",
       "      <td>nii.gz</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>T1w</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "entity                                               path datatype extension  \\\n",
       "0       /Users/arvid/GitHub/computational-medicine/BME...      NaN      json   \n",
       "1       /Users/arvid/GitHub/computational-medicine/BME...      NaN      json   \n",
       "2       /Users/arvid/GitHub/computational-medicine/BME...      NaN       tsv   \n",
       "3       /Users/arvid/GitHub/computational-medicine/BME...     anat      json   \n",
       "4       /Users/arvid/GitHub/computational-medicine/BME...     anat    nii.gz   \n",
       "\n",
       "entity session subject        suffix task  \n",
       "0          NaN     NaN   description  NaN  \n",
       "1          NaN     NaN  participants  NaN  \n",
       "2          NaN     NaN  participants  NaN  \n",
       "3            1     102           T1w  NaN  \n",
       "4            1     102           T1w  NaN  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.to_df().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Name': 'Brain-Gut-Microbiota',\n",
       " 'BIDSVersion': '1.6',\n",
       " 'License': 'MIT',\n",
       " 'Authors': ['E. Valestrand',\n",
       "  'B. Bertelsen',\n",
       "  'T. Hausken',\n",
       "  'A. Lundervold',\n",
       "  ' et al.'],\n",
       " 'Acknowledgements': '',\n",
       " 'HowToAcknowledge': '',\n",
       " 'Funding': ['NFR FRIMEDBIO',\n",
       "  'Helse-Vest',\n",
       "  'Trond Mohn Foundation / MMIV',\n",
       "  ''],\n",
       " 'ReferencesAndLinks': ['https://braingut.no', '', ''],\n",
       " 'DatasetDOI': '',\n",
       " 'TaskName': 'rest'}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'subject': <bids.layout.models.Entity at 0x7ff2414b3970>,\n",
       " 'session': <bids.layout.models.Entity at 0x7ff241487220>,\n",
       " 'task': <bids.layout.models.Entity at 0x7ff2c160caf0>,\n",
       " 'acquisition': <bids.layout.models.Entity at 0x7ff2c160cb50>,\n",
       " 'ceagent': <bids.layout.models.Entity at 0x7ff2c160cbb0>,\n",
       " 'reconstruction': <bids.layout.models.Entity at 0x7ff2c160cc10>,\n",
       " 'direction': <bids.layout.models.Entity at 0x7ff2c160cc70>,\n",
       " 'run': <bids.layout.models.Entity at 0x7ff2c160ccd0>,\n",
       " 'proc': <bids.layout.models.Entity at 0x7ff2c160cd30>,\n",
       " 'modality': <bids.layout.models.Entity at 0x7ff2c160cd90>,\n",
       " 'echo': <bids.layout.models.Entity at 0x7ff2c160cdf0>,\n",
       " 'flip': <bids.layout.models.Entity at 0x7ff2c160ce50>,\n",
       " 'inv': <bids.layout.models.Entity at 0x7ff2c160ceb0>,\n",
       " 'mt': <bids.layout.models.Entity at 0x7ff2c160cf10>,\n",
       " 'part': <bids.layout.models.Entity at 0x7ff2c160cf70>,\n",
       " 'recording': <bids.layout.models.Entity at 0x7ff2c160cfd0>,\n",
       " 'space': <bids.layout.models.Entity at 0x7ff2c160cf40>,\n",
       " 'suffix': <bids.layout.models.Entity at 0x7ff2c16100d0>,\n",
       " 'scans': <bids.layout.models.Entity at 0x7ff2c1610130>,\n",
       " 'fmap': <bids.layout.models.Entity at 0x7ff2c1610190>,\n",
       " 'datatype': <bids.layout.models.Entity at 0x7ff2c16101f0>,\n",
       " 'extension': <bids.layout.models.Entity at 0x7ff2c1610250>,\n",
       " 'participant_id': <bids.layout.models.Entity at 0x7ff2c16102b0>,\n",
       " 'gender': <bids.layout.models.Entity at 0x7ff2c1610310>,\n",
       " 'age': <bids.layout.models.Entity at 0x7ff2c1610370>,\n",
       " 'group': <bids.layout.models.Entity at 0x7ff2c16103d0>,\n",
       " 'pre_soup_pain': <bids.layout.models.Entity at 0x7ff2c1610430>,\n",
       " 'pre_soup_nausea': <bids.layout.models.Entity at 0x7ff2c1610490>,\n",
       " 'pre_soup_fullnes': <bids.layout.models.Entity at 0x7ff2c16104f0>,\n",
       " 'pre_soup_total': <bids.layout.models.Entity at 0x7ff2c1610550>,\n",
       " 'pre_soup_full': <bids.layout.models.Entity at 0x7ff2c16105b0>,\n",
       " 'post_soup_pain': <bids.layout.models.Entity at 0x7ff2c1610610>,\n",
       " 'post_soup_nausea': <bids.layout.models.Entity at 0x7ff2c1610670>,\n",
       " 'post_soup_fullness': <bids.layout.models.Entity at 0x7ff2c16106d0>,\n",
       " 'post_soup_total': <bids.layout.models.Entity at 0x7ff2c1610730>,\n",
       " 'post_soup_full': <bids.layout.models.Entity at 0x7ff2c1610790>,\n",
       " 'num_glasses': <bids.layout.models.Entity at 0x7ff2c1610820>,\n",
       " 'ConversionSoftware': <bids.layout.models.Entity at 0x7ff2c16108b0>,\n",
       " 'SeriesNumber': <bids.layout.models.Entity at 0x7ff2c1610940>,\n",
       " 'SeriesDescription': <bids.layout.models.Entity at 0x7ff2c16109d0>,\n",
       " 'ImageType': <bids.layout.models.Entity at 0x7ff2c1610a60>,\n",
       " 'Modality': <bids.layout.models.Entity at 0x7ff2c1610af0>,\n",
       " 'AcquisitionDateTime': <bids.layout.models.Entity at 0x7ff2c1610b80>,\n",
       " 'RepetitionTime': <bids.layout.models.Entity at 0x7ff2c1610c10>,\n",
       " 'PhaseEncodingDirection': <bids.layout.models.Entity at 0x7ff2c1610ca0>,\n",
       " 'EchoTime': <bids.layout.models.Entity at 0x7ff2c1610d30>,\n",
       " 'InversionTime': <bids.layout.models.Entity at 0x7ff2c1610dc0>,\n",
       " 'PatientName': <bids.layout.models.Entity at 0x7ff2c1610e50>,\n",
       " 'PatientAge': <bids.layout.models.Entity at 0x7ff2c1610ee0>,\n",
       " 'PatientWeight': <bids.layout.models.Entity at 0x7ff2c1610f70>,\n",
       " 'PatientPosition': <bids.layout.models.Entity at 0x7ff2c1610e80>,\n",
       " 'SliceThickness': <bids.layout.models.Entity at 0x7ff2c1610fa0>,\n",
       " 'FlipAngle': <bids.layout.models.Entity at 0x7ff2c1617160>,\n",
       " 'Manufacturer': <bids.layout.models.Entity at 0x7ff2c16171f0>,\n",
       " 'SoftwareVersion': <bids.layout.models.Entity at 0x7ff2c1617280>,\n",
       " 'MRAcquisitionType': <bids.layout.models.Entity at 0x7ff2c1617310>,\n",
       " 'InstitutionName': <bids.layout.models.Entity at 0x7ff2c16173a0>,\n",
       " 'DeviceSerialNumber': <bids.layout.models.Entity at 0x7ff241498190>,\n",
       " 'ScanningSequence': <bids.layout.models.Entity at 0x7ff2413a33d0>,\n",
       " 'SequenceVariant': <bids.layout.models.Entity at 0x7ff2c1617430>,\n",
       " 'ScanOptions': <bids.layout.models.Entity at 0x7ff2c1617490>,\n",
       " 'SequenceName': <bids.layout.models.Entity at 0x7ff2c16174f0>,\n",
       " 'DiffusionBValue': <bids.layout.models.Entity at 0x7ff2c1617580>,\n",
       " 'DiffusionGradientOrientation': <bids.layout.models.Entity at 0x7ff2c1617610>,\n",
       " 'TotalReadoutTime': <bids.layout.models.Entity at 0x7ff2c16176a0>,\n",
       " 'EffectiveEchoSpacing': <bids.layout.models.Entity at 0x7ff2c1617730>,\n",
       " 'TaskName': <bids.layout.models.Entity at 0x7ff2c16177c0>,\n",
       " 'SliceTiming': <bids.layout.models.Entity at 0x7ff2c1617850>}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['102', '103', '111', '123']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.get_subjects()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1', '2']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.get_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['rest']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "layout.get_tasks()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'participants.tsv'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = layout.get(extension='tsv')[0].filename\n",
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/arvid/GitHub/computational-medicine/BMED360-2021/Lab6-Networks-Graphs/data/bids_bg_bmed360/participants.tsv'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fpath = layout.get(extension='tsv')[0].path\n",
    "fpath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>participant_id</th>\n",
       "      <td>sub-102</td>\n",
       "      <td>sub-103</td>\n",
       "      <td>sub-111</td>\n",
       "      <td>sub-123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>M</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>40</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>group</th>\n",
       "      <td>HC</td>\n",
       "      <td>HC</td>\n",
       "      <td>IBS</td>\n",
       "      <td>IBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pre_soup_pain</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pre_soup_nausea</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pre_soup_fullnes</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pre_soup_total</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pre_soup_full</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>post_soup_pain</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>post_soup_nausea</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>post_soup_fullness</th>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>post_soup_total</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>post_soup_full</th>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>num_glasses</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          0        1        2        3\n",
       "participant_id      sub-102  sub-103  sub-111  sub-123\n",
       "gender                    M        F        M        F\n",
       "age                      30       25       40       25\n",
       "group                    HC       HC      IBS      IBS\n",
       "pre_soup_pain             1        1        2       15\n",
       "pre_soup_nausea           1        2        2        0\n",
       "pre_soup_fullnes          1        2        1        0\n",
       "pre_soup_total            0        2        1        0\n",
       "pre_soup_full             0        2        1        0\n",
       "post_soup_pain            1        1       10       15\n",
       "post_soup_nausea          0        2        7        0\n",
       "post_soup_fullness       19        2       20       35\n",
       "post_soup_total           3        2        4        0\n",
       "post_soup_full           20        2       12       38\n",
       "num_glasses               3        3        3        3"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df = pd.read_csv(fpath, sep='\\t')  , or\n",
    "df = pd.read_table(fpath)\n",
    "df.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's have a look at our fMRI data\n",
    "\n",
    "First, a few handy functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_image(path):\n",
    "    # load an img file\n",
    "    return nib.load(path)\n",
    "\n",
    "def get_TR(img):\n",
    "    # retrieve TR data\n",
    "    return img.header.get_zooms()[-1]\n",
    "\n",
    "def get_slices(img):\n",
    "    # retrieve number of slices\n",
    "    return img.shape[2]\n",
    "  \n",
    "def get_header(img):\n",
    "    # print the full header\n",
    "    return(img.header)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TR: 2.0\n",
      "# of slices: 26\n",
      "dim: [  4 128 128  26 240   1   1   1]\n",
      "pixdim: [-1.      1.7188  1.7188  3.5     2.      0.      0.      0.    ]\n",
      "data.shape: (128, 128, 26, 240)\n",
      "\n",
      " <class 'nibabel.nifti1.Nifti1Header'> object, endian='<'\n",
      "sizeof_hdr      : 348\n",
      "data_type       : b''\n",
      "db_name         : b'fMRI_111005_suppe_'\n",
      "extents         : 16384\n",
      "session_error   : 0\n",
      "regular         : b'r'\n",
      "dim_info        : 121\n",
      "dim             : [  4 128 128  26 240   1   1   1]\n",
      "intent_p1       : 0.0\n",
      "intent_p2       : 0.0\n",
      "intent_p3       : 0.0\n",
      "intent_code     : none\n",
      "datatype        : int16\n",
      "bitpix          : 16\n",
      "slice_start     : 0\n",
      "pixdim          : [-1.      1.7188  1.7188  3.5     2.      0.      0.      0.    ]\n",
      "vox_offset      : 0.0\n",
      "scl_slope       : nan\n",
      "scl_inter       : nan\n",
      "slice_end       : 25\n",
      "slice_code      : alternating decreasing\n",
      "xyzt_units      : 10\n",
      "cal_max         : 0.0\n",
      "cal_min         : 0.0\n",
      "slice_duration  : 0.0769\n",
      "toffset         : 0.0\n",
      "glmax           : 7998\n",
      "glmin           : 0\n",
      "descrip         : b'phase=y;readout=0.0965;dwell=0.76;TE=30;time=20111005170550;'\n",
      "aux_file        : b';GE;fMRI_suppe_110915a/3'\n",
      "qform_code      : scanner\n",
      "sform_code      : scanner\n",
      "quatern_b       : 0.00029756126\n",
      "quatern_c       : -0.9999434\n",
      "quatern_d       : 0.010636183\n",
      "qoffset_x       : 113.64423\n",
      "qoffset_y       : -85.311264\n",
      "qoffset_z       : 19.562218\n",
      "srow_x          : [-1.7187999e+00 -1.0490592e-03  8.3999999e-04  1.1364423e+02]\n",
      "srow_y          : [-9.9661865e-04  1.7184116e+00  7.4519999e-02 -8.5311264e+01]\n",
      "srow_z          : [ 4.1962956e-04 -3.6560766e-02  3.4992001e+00  1.9562218e+01]\n",
      "intent_name     : b'EP\\\\GR'\n",
      "magic           : b'n+1'\n"
     ]
    }
   ],
   "source": [
    "sub = 102\n",
    "ses = 1\n",
    "\n",
    "path = '%s/sub-%d/ses-%d/func/sub-%d_ses-%d_task-rest_bold.nii.gz' % (bids_dir, sub, ses, sub, ses)\n",
    "\n",
    "img = load_image(path)\n",
    "data = img.get_fdata()\n",
    "header=get_header(img)\n",
    "TR = get_TR(img)\n",
    "slices = get_slices(img)\n",
    "\n",
    "print('TR: {}'.format(TR))\n",
    "print('# of slices: {}'.format(slices))\n",
    "print('dim:', img.header['dim'])\n",
    "print('pixdim:', img.header['pixdim'])\n",
    "print('data.shape:', data.shape)\n",
    "print('\\n', header)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot an image representation of voxel intensities across time<br>\n",
    "Power, J. D. A simple but useful way to assess fMRI scan qualities. Neuroimage 2017;154:150-158  [[link](https://doi.org/10.1016/j.neuroimage.2016.08.009)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plotting.plot_carpet(img,title=f'Resting state fMRI sub-{sub}_ses-{ses}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volno = 0\n",
    "plotting.plot_epi(image.index_img(img, 0), \\\n",
    "                  cmap='gray',title=f'Resting state fMRI sub-{sub}_ses-{ses}, vol={volno}')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FSL: Brain Extraction Tool (BET2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!bet --help"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```shell\n",
    "Usage:    bet <input> <output> [options]\n",
    "\n",
    "Main bet2 options:\n",
    "  -o          generate brain surface outline overlaid onto original image\n",
    "  -m          generate binary brain mask\n",
    "  -s          generate approximate skull image\n",
    "  -n          don't generate segmented brain image output\n",
    "  -f <f>      fractional intensity threshold (0->1); default=0.5; smaller values give larger brain outline estimates\n",
    "  -g <g>      vertical gradient in fractional intensity threshold (-1->1); default=0; positive values give larger brain outline at bottom, smaller at top\n",
    "  -r <r>      head radius (mm not voxels); initial surface sphere is set to half of this\n",
    "  -c <x y z>  centre-of-gravity (voxels not mm) of initial mesh surface.\n",
    "  -t          apply thresholding to segmented brain image and mask\n",
    "  -e          generates brain surface as mesh in .vtk format\n",
    "\n",
    "Variations on default bet2 functionality (mutually exclusive options):\n",
    "  (default)   just run bet2\n",
    "  -R          robust brain centre estimation (iterates BET several times)\n",
    "  -S          eye & optic nerve cleanup (can be useful in SIENA - disables -o option)\n",
    "  -B          bias field & neck cleanup (can be useful in SIENA)\n",
    "  -Z          improve BET if FOV is very small in Z (by temporarily padding end slices)\n",
    "  -F          apply to 4D FMRI data (uses -f 0.3 and dilates brain mask slightly)\n",
    "  -A          run bet2 and then betsurf to get additional skull and scalp surfaces (includes registrations)\n",
    "  -A2 <T2>    as with -A, when also feeding in non-brain-extracted T2 (includes registrations)\n",
    "\n",
    "Miscellaneous options:\n",
    "  -v          verbose (switch on diagnostic messages)\n",
    "  -h          display this help, then exits\n",
    "  -d          debug (don't delete temporary intermediate images)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%%time\n",
    "#!/usr/local/fsl/bin/bet ~/prj/BMED360/Lab6-Networks-Graphs/sub-102_ses-1_T1w ~/prj/BMED360/Lab6-Networks-Graphs/sub-102_ses-1_T1w_brain -R -f 0.5 -g 0 -m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "CPU times: user 91.3 ms, sys: 38.7 ms, total: 130 ms\n",
    "Wall time: 8.16 s\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--> `sub-102_ses-1_T1w_brain.nii.gz` and `sub-102_ses-1_T1w_brain_mask.nii.gz`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FSL: FEAT\n",
    "\n",
    "([FEAT](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT/UserGuide) = _FMRI Expert Analysis Tool_ - for preprocessing and statistical analysis of FMRI data)\n",
    "\n",
    "**First-level analysis | Preprocessing**\n",
    "\n",
    "_Data_ (4D): ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.nii.gz<br>\n",
    "Total volumes: 240; Delete volumes:0; TR: 2.0 s; High pass filter cutoff: 60 s<br>\n",
    "_Pre-stats_:<br>\n",
    "Motion correction (MCFLIRT), <br>\n",
    "Slice timing correction: None<br>\n",
    "BET brain extraction: Yes<br>\n",
    "Spatial smoothing: FWHM 5 mm<br>\n",
    "Temporal filtering Highpass, MELODIC ICA data exploration<br>\n",
    "_Registration_:<br>\n",
    "Man structural image: ~/prj/BMED360/Lab6-Networks-Graphs/sub-102_ses-1_T1w_brain.nii.gz; Linear Normal search, BBR<br>\n",
    "Standard space: /usr/local/fsl/data/standard/MNI151_T1_2mm_brain.nii.gz; Linear: Normal search, 12 DOF<br>\n",
    "_Misc_: Brain/background threshold: 10%, Noise level: 0.66; Temporal smoothness: 0.34; Z-threshold: 5.3<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!feat ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/design.fsf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```shell\n",
    "/usr/local/fsl/bin/mainfeatreg -F 6.00 -d ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat \n",
    "-l ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/logs/feat2_pre \n",
    "-R ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/report_unwarp.html \n",
    "-r ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/report_reg.html  \n",
    "-i ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/example_func.nii.gz  \n",
    "-h ~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_T1w_brain \n",
    "-w  BBR -x 90 -s /usr/local/fsl/data/standard/MNI152_T1_2mm_brain -y 12 -z 90 \n",
    "Option -F ( FEAT version parameter ) selected with  argument \"6.00\"\n",
    "Option -d ( output directory ) selected with  argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat\"\n",
    "Option -l ( logfile )input with argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/logs/feat2_pre\"\n",
    "Option -R ( html unwarping report ) selected with  argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/report_unwarp.html\"\n",
    "Option -r ( html registration report ) selected with  argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/report_reg.html\"\n",
    "Option -i ( main input ) input with argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_task-rest_bold.feat/example_func.nii.gz\"\n",
    "Option -h ( high-res structural image ) selected with  argument \"~/prj/BMED360/Lab6-Networks-Graphs/sub-103_ses-1_T1w_brain\"\n",
    "Option -w ( highres dof ) selected with  argument \"BBR\"\n",
    "Option -x ( highres search ) selected with  argument \"90\"\n",
    "Option -s ( standard image ) selected with  argument \"/usr/local/fsl/data/standard/MNI152_T1_2mm_brain\"\n",
    "Option -y ( standard dof ) selected with  argument \"12\"\n",
    "Option -z ( standard search ) selected with  argument \"90\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Preprocessing:Stage 1) --> `sub-102_ses-1_task-rest_bold_filtered_func_data.nii.gz`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filtered function ICA report --> `sub-102_ses-1_task-rest_bold.feat/filtered_func_data.ica`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## FSL: MELODIC \n",
    "\n",
    "([MELODIC](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MELODIC) = _Multivariate Exploratory Linear Optimized Decomposition into Independent Components_)\n",
    "\n",
    "Uses Independent Component Analysis (ICA) to decompose a single or multiple 4D data sets into different spatial and temporal components. For ICA group analysis, MELODIC uses either Tensorial Independent Component Analysis (TICA, where data is decomposed into spatial maps, time courses and subject/session modes) or a simpler temporal concatenation approach. MELODIC can pick out different activation and artefactual components without any explicit time series model being specified.\n",
    "\n",
    "A paper investigating resting-state connectivity using independent component analysis has been published in Philosophical Transactions of the Royal Society. For detail, see a technical report [PDF](https://www.fmrib.ox.ac.uk/datasets/techrep/tr05cb1/tr05cb1.pdf).\n",
    "\n",
    "![FSL_ICA](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/MELODIC?action=AttachFile&do=get&target=tica_diag.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Automatically generated FSL reports\n",
    "\n",
    "\n",
    "#### Registration\n",
    "\n",
    "Analysis methods:<br>\n",
    "FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version 6.00, part of FSL (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl). Registration to high resolution structural and/or standard space images was carried out using FLIRT [Jenkinson 2001, 2002].\n",
    "\n",
    "References:<br>\n",
    "[Jenkinson 2001] M. Jenkinson and S.M. Smith. A Global Optimisation Method for Robust Affine Registration of Brain Images. Medical Image Analysis 5:2(143-156) 2001.<br>\n",
    "[Jenkinson 2002] M. Jenkinson, P. Bannister, M. Brady and S. Smith. Improved Optimisation for the Robust and Accurate Linear Registration and Motion Correction of Brain Images. NeuroImage 17:2(825-841) 2002.<br>\n",
    "\n",
    "\n",
    "#### Pres-stats\n",
    "\n",
    "Analysis methods:<br>\n",
    "FMRI data processing was carried out using FEAT (FMRI Expert Analysis Tool) Version 6.00, part of FSL (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl). The following pre-statistics processing was applied; motion correction using MCFLIRT [Jenkinson 2002]; non-brain removal using BET [Smith 2002]; spatial smoothing using a Gaussian kernel of FWHM 5mm; grand-mean intensity normalisation of the entire 4D dataset by a single multiplicative factor; highpass temporal filtering (Gaussian-weighted least-squares straight line fitting, with sigma=30.0s). ICA-based exploratory data analysis was carried out using MELODIC [Beckmann 2004], in order to investigate the possible presence of unexpected artefacts or activation.\n",
    "\n",
    "References:<br>\n",
    "[Jenkinson 2002] M. Jenkinson and P. Bannister and M. Brady and S. Smith. Improved optimisation for the robust and accurate linear registration and motion correction of brain images. NeuroImage 17:2(825-841) 2002.<br>\n",
    "[Smith 2002] S. Smith. Fast Robust Automated Brain Extraction. Human Brain Mapping 17:3(143-155) 2002.<br>\n",
    "[Beckmann 2004] C.F. Beckmann and S.M. Smith. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging. IEEE Trans. on Medical Imaging 23:2(137-152) 2004.<br>\n",
    "\n",
    "\n",
    "#### MELODIC data exploration report\n",
    "\n",
    "\n",
    "Analysis methods:<br>\n",
    "Analysis was carried out using Probabilistic Independent Component Analysis [Beckmann 2004] as implemented in MELODIC (Multivariate Exploratory Linear Decomposition into Independent Components) Version 3.15, part of FSL (FMRIB's Software Library, www.fmrib.ox.ac.uk/fsl).\n",
    "The following data pre-processing was applied to the input data: masking of non-brain voxels; voxel-wise de-meaning of the data; normalisation of the voxel-wise variance;\n",
    "Pre-processed data were whitened and projected into a 60-dimensional subspace using probabilistic Principal Component Analysis where the number of dimensions was estimated using the Laplace approximation to the Bayesian evidence of the model order [Minka 2000, Beckmann 2004].\n",
    "The whitened observations were decomposed into sets of vectors which describe signal variation across the temporal domain (time-courses) and across the spatial domain (maps) by optimising for non-Gaussian spatial source distributions using a fixed-point iteration technique [Hyvärinen 1999]. Estimated Component maps were divided by the standard deviation of the residual noise and thresholded by fitting a mixture model to the histogram of intensity values [Beckmann 2004].\n",
    "\n",
    "References:<br>\n",
    "[Hyvärinen 1999] A. Hyvärinen. Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10(3):626-634, 1999.<br>\n",
    "[Beckmann 2004] C.F. Beckmann and S.M. Smith. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging 23(2):137-152 2004.<br>\n",
    "[Everson 2000] R. Everson and S. Roberts. Inferring the eigenvalues of covariance matrices from limited, noisy data. IEEE Trans Signal Processing, 48(7):2083-2091, 2000<br>\n",
    "[Tipping 1999] M.E. Tipping and C.M.Bishop. Probabilistic Principal component analysis. J Royal Statistical Society B, 61(3), 1999.<br>\n",
    "[Beckmann 2001] C.F. Beckmann, J.A. Noble and S.M. Smith. Investigating the intrinsic dimensionality of FMRI data for ICA. In Seventh Int. Conf. on Functional Mapping of the Human Brain, 2001.<br>\n",
    "[Minka 2000] T. Minka. Automatic choice of dimensionality for PCA. Technical Report 514, MIT Media Lab Vision and Modeling Group, 2000.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **Single-session ICA:** This will perform standard 2D ICA on each of the input files. The input data will each be represented as a 2D time x space matrix. MELODIC then de-composes each matrix separately into pairs of time courses and spatial maps. The original data is assumed to be the sum of outer products of time courses and spatial maps. All the different time courses (one per component) will be saved in the mixing matrix melodic_mix and all the spatial maps (one per component) will be saved in the 4D file melodic_IC. <br>When using separate analyses, MELODIC will attempt to find components which are relevant and non-Gaussian relative to the residual fixed-effects within session/subject variation. It is recommended to use this option in order to check for session-specific effects (such as MR artefacts). You will need to use this option if you want to perform MELODIC denoising using fsl_regfilt. When using single-session ICA the component are ordered in order of decreasing amounts of uniquely explained variance.\n",
    "\n",
    "\n",
    "Melodic results will be in `filtered_func_data.ica`\n",
    "\n",
    "To view the output report point your web browser at `filtered_func_data.ica/report/00index.html`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#!melodic --help"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```shell\n",
    "Part of FSL (ID: 6.0.4:ddd0a010)\n",
    "MELODIC (Version 3.15)\n",
    " Multivariate Exploratory Linear Optimised Decomposition into Independent Components\n",
    "\n",
    "Author: Christian F. Beckmann \n",
    " Copyright(c) 2001-2013 University of Oxford\n",
    "\n",
    "Usage: \n",
    " melodic -i <filename> <options>\n",
    " \t \t to run melodic\n",
    " melodic -i <filename> --ICs=melodic_IC --mix=melodic_mix <options>\n",
    " \t \t to run Mixture Model based inference on estimated ICs\n",
    " melodic --help \n",
    "\n",
    "Compulsory arguments (You MUST set one or more of):\n",
    "\t-i,--in\tinput file names (either single file name or comma-separated list or text file)\n",
    "\n",
    "Optional arguments (You may optionally specify one or more of):\n",
    "\t-o,--outdir\toutput directory name\n",
    "\t--Oall\t        output everything\n",
    "\t-m,--mask\tfile name of mask for thresholding\n",
    "\t-d,--dim\tdimensionality reduction into #num dimensions (default: automatic estimation)\n",
    "\t-a,--approach\tapproach for multi-session/subject data:\n",
    "\t   concat\ttemporally-concatenated group-ICA using MIGP ( default )\n",
    "\t   tica  \ttensor-ICA\n",
    "\t--report\tgenerate Melodic web report\n",
    "\t--CIFTI\t        input/output as CIFTI (warning: auto-dimensionality estimation for CIFTI data is currently inaccurate)\n",
    "\t--vn,--varnorm\tswitch off variance normalisation\n",
    "\t-v,--verbose\tswitch on diagnostic messages\n",
    "\n",
    "\n",
    "\n",
    "\t--nomask\tswitch off masking\n",
    "\t--update_mask\tswitch off mask updating\n",
    "\t--nobet\t\tswitch off BET\n",
    "\t--bgthreshold\tbrain / non-brain threshold (only if --nobet selected)\n",
    "\n",
    "\t--dimest\tuse specific dim. estimation technique: lap, bic, mdl, aic, mean (default: lap)\n",
    "\t--sep_vn\tswitch on separate variance nomalisation for each input dataset (off by default)\n",
    "\t--disableMigp\tswitch off MIGP data reduction when using -a concat (full temporal concatenation will be used)\n",
    "\t--migpN\tNumber of internal Eigenmaps\n",
    "\t--migp_shuffle\tRandomise MIGP file order (default: TRUE)\n",
    "\t--migp_factor\tInternal Factor of mem-threshold relative to number of Eigenmaps (default: 2)\n",
    "\t-n,--numICs\tnumer of IC's to extract (for deflation approach)\n",
    "\t--nl\t\tnonlinearity: gauss, tanh, pow3 (default), pow4\n",
    "\t--covarweight\tvoxel-wise weights for the covariance matrix (e.g. segmentation information)\n",
    "\t--eps\tminimum error change\n",
    "\t--epsS\tminimum error change for rank-1 approximation in TICA\n",
    "\t--maxit\t\tmaximum number of iterations before restart\n",
    "\t--maxrestart\tmaximum number of restarts\n",
    "\n",
    "\t--mmthresh\tthreshold for Mixture Model based inference\n",
    "\t--no_mm\t\tswitch off mixture modelling on IC maps\n",
    " \n",
    "\t--ICs\t\tinput filename of the IC components file for mixture modelling\n",
    "\t--mix\t\tinput filename of mixing matrix for mixture modelling / filtering\n",
    "\t--smode\t\tinput filename of matrix of session modes for report generation\n",
    "\t-f,--filter\tlist of component numbers to remove\n",
    " \n",
    "\t--bgimage\tspecify background image for report (default: mean image)\n",
    " \n",
    "\t--tr\t\tTR in seconds\n",
    "\t--logPower\tcalculate log of power for frequency spectrum\n",
    "\n",
    "\t--Tdes\t        design matrix across time-domain\n",
    "\t--Tcon\t        t-contrast matrix across time-domain\n",
    "\t--Sdes\t        design matrix across subject-domain\n",
    "\t--Scon\t        t-contrast matrix across subject-domain\n",
    "\t--Ounmix\toutput unmixing matrix\n",
    "\t--Ostats\toutput thresholded maps and probability maps\n",
    "\t--Opca\t\toutput PCA results\n",
    "\t--Owhite\toutput whitening/dewhitening matrices\n",
    "\t--Oorig\t\toutput the original ICs\n",
    "\t--Omean\t\toutput mean volume\n",
    "\n",
    "\t-V,--version\tprints version information\n",
    "\t--copyright\tprints copyright information\n",
    "\t-h,--help\tprints this help message\n",
    "\t--debug\t        switch on debug messages\n",
    "\t--report_maps\tcontrol string for spatial map images (see slicer)\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#%%time\n",
    "\n",
    "#!melodic -i ~/prj/BMED360/Lab6-Networks-Graphs/sub-102_ses-1_task-rest_bold.nii.gz -o ~/prj/BMED360/Lab6-Networks-Graphs/sub-102_ses-1_MELODIC  --tr=2.0 --report --Oall\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "CPU times: user 8.85 s, sys: 2.66 s, total: 11.5 s\n",
    "Wall time: 14min 30s\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selected components\n",
    "\n",
    "(Thresholded IC map, alternative hypothesis test at p > 0.5: IC_5_thresh.png / Timecourse: t5.png / Powerspectrum of timecourse: f5.png) <br>\n",
    "\n",
    "MELODIC Component 5 | 2.33 % of explained variance;     1.83 % of total variance <br>\n",
    "MELODIC Component 13 | 1.90 % of explained variance;     1.50 % of total variance <br>\n",
    "MELODIC Component 18 | 1.84 % of explained variance;     1.45 % of total variance <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### MELODIC Component 5\n",
    "Thresholded IC map (IC_5_thresh.png), alternative hypothesis test at p > 0.5\n",
    "![ica_5](./assets/IC_5_thresh.png)\n",
    "\n",
    "Timecourse (t5.png)\n",
    "![ica_5_t5](./assets/t5.png)\n",
    "\n",
    "Powerspectrum of timecourse (f5.png)\n",
    "![ica_5_f5](./assets/f5.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(128, 128, 26, 60)\n",
      "(128, 128, 26)\n"
     ]
    }
   ],
   "source": [
    "melodic = './data/sub-102_ses-1_MELODIC/filtered_func_data.ica/melodic_IC.nii.gz'\n",
    "mean_img = './data/sub-102_ses-1_MELODIC/filtered_func_data.ica/mean.nii.gz'\n",
    "anat = './data/sub-102_ses-1_MELODIC/sub-102_ses-1_T1w.nii.gz'\n",
    "brain = './data/sub-102_ses-1_MELODIC/sub-102_ses-1_T1w_brain.nii.gz'\n",
    "img = nib.load(melodic)\n",
    "data = img.get_fdata()\n",
    "\n",
    "print(data.shape)\n",
    "\n",
    "comp = 4\n",
    "ic_comp = image.index_img(img, comp)\n",
    "print(ic_comp.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 525.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from nilearn import plotting\n",
    "\n",
    "# Visualizing t-map image on EPI template with manual\n",
    "# positioning of coordinates using cut_coords given as a list\n",
    "plotting.plot_stat_map(ic_comp, \n",
    "                        bg_img = anat, \n",
    "                        threshold=3, \n",
    "                        title=\"Thresholded IC map (IC=5)\", \n",
    "                        cut_coords=[36, -27, 66],\n",
    "                        dim = -0.8)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pGBhgYMAcOXg2jBL01dvTR5URooOIJDNIZfiaSp/NbITdbKTKNUEQBNESatdbEV1JIJrC+YUQ4ulMqw+l5YiZclaTkWb1aUAjQZ9XrvRxzgvs7wmiXfFF5MHsJSrb1KNKEARBtAqq9BEAgBPTfgDA1GoUiXUe+AViaXjsZmzw2Cjo04Bc0Gepcs+1eB1mZLIckeT6PieJzkH07BW7dwKyXJkq1wSxhmcuLuM9nz6MZDrb6kMhiK6Fgj4CAHB8yg8AyHLg+kq0tQfTYoKxFNx2M0a8NjJy0YBgQ5U+MduMJHFEZ+CLikpfmaCPKn0EUcDkShS//PmjOHR+CQtBSrQShF5Q0EcAAE5M+WExSafD5cVwi4+mtQh55wa3HfM0oL1hGpF3usnxkOgwRFBXVt5Zw7mczdLaQ3Q38VQGv/i5o8pM3PWuNCIIPaGgjwDnHMen/HjdDcMAgMtL6zvoC8ZTcNukSl80mUEwRgPaGyEQS8FuNipJhVpw26S241CcPgOiMxBV6XLyTrU9fWfngrjhjx/GxYWQpsdHEHrDOcfXjk0jnKi8bnPO8Qf/cxqvzAXx7rs2AwBiSZJ3EoReUNBHYNoXw0okiXu292PUa8flpUirD6mlCHnnBo8NADAXJIlnI4jKaT3YLEYAIIMhomPwRURPX6lKnwX+mDqp8iNn5hFPZXFleX2vx0TncWzSj9/68gk8fHq+4v3+5/gM/vvoNH7jtbvw5gMbAdBaTxB6QkEfofTz3bzJi+2DznVd6eOcK0HKRo8dADDnpx6DRvBHGwj6TFLQl0jRRoDoDHzRJFxWE8zGtZdXj92MeCqLuIrz+akLSwCoyk10Hs9fXgZQvRf70LkljHhs+I3X7oLNLH1fYmTaRRC6QUEfgeNTflhNBuzZ4MKOwR5cXgyv2z62eCqLVIbDbTdho6j0kYNnQzRU6ZM3AvEUSX6IzqDUYHaBqP5Vk3gGYiklGReKUz8r0Vk8d3kFAJQ+vXLM+mPY3O+AwcBgM8uqDkrwEYRuUNBH4PiUHwdGPTAbDdgx1INIMoOFYKLVh9US8k1HhlxWaUA7OXg2RECWy9aD2AjEaCNAdAi+aKqkcyeQMzOqFvQ9f3kZwsMlTJU+ooOIpzI4ct0HIOfcXI65QBwjsqKG1nqC0B8K+tY5qUwWp2cCuHmTFwCwY9AJYP2auQTjuaDPZDRg2E2z+hol2FClj7K/RGfhjyZLmrgA+SNIKm+Gn7ywjB6rCRaTAaEqZhgE0U4cm/Qps/YqSZMzWY75YBwbvZKixm6htZ4g9IaCvnXO+fkQEumsEvTtHOwBsH6DPpGBd9ukIEUa0E6VvkYgeSexnpAqfZXlnZV6nTjneOrCEl61ox8eu5nknURH8cLlFRgYsKnPriRRS7EUSiCT5RjxSpU+u5Lgo7WeIPSCgr51zst5Ji4AMOiyosdq6shZfVeWwg3P+BEztESQMuKxk5FLA6QyWUSSmZJOhmoQRi6U/SU6BV80WVXeWWlA+9XlCGb8Mdy/exAuq6lqXxRBtBPPXV7BwTEvNnrsFeWdM34pmZqTd8pGLrTWE4RuUNC3zjkx5Ue/04KxXmnhZYxhx6Cz48Y2RBJpvP5jT+Fdn3gBK+H6+xFFZlL0oEmVPhrQXi/BBgazA4DBwGAxGcjGm+gI0pksQvF02SSHR7690mb46YuS8+Frdg3CZTOReyfRMUQSaRyf8uOeHf1w28wVExZCQSPknZTgIwj9oaBvnXN8yo+bN3nBGFNu2zHY03HyzmA8hXSW49ikH2//5+fKHv9iMI5D5xfLPk+gKEjZ6LEhlsqoHqhMFFL8ftaDzWRAgiQ/RAcgKnjeMue7y2qC0cAq9vQ9fXEJW/od2NzvgMtG8k6ic3jp2irSWY5X7eiH226qeO4KBY0YjSQSfFTpIwj9oKBvHROIpnB5KYybZGmnYMdQD+YCcYQ7yEAgkpAuFO+5dyvC8TTe/k/P4aVrqwX3iacy+KlPv4Sf+48jyGRLV+6CMelvdttMAHIXJDJzqY/rK1EAUAbd14PNbKTsL9ERiF69XmdpeSdjDB67ueyA9mQ6i+cvr+DVuwYBAC6bidw7iY7h+csrMBsZbt/SJ1X6qsg7e6wm5VoLSH19cZrTRxC6QUHfOubo5Co4B+7Y2ldwu3DwvNpBEs9oUtoY3btjAF//5XvR32PBT33qMI5N+pT7/Mm3X8HZuSDSWV52IxWIpeC0GGGSBysL6QmZudTHqZkAAGD/iLvu57CZjZT9JToCn1zBK+feCUhV73KVvmOTPkSSGdy/awAASN5JdBTPXV7BLZt7YbcY4baZEEqkkS2TYJ0LxLDRYytQGdnMBjJyIQgdoaBvHXP4qg9mI1NMXAQ7OtDBMypnBx1WIzb3O/Cln7sbgy4rfupTh3F6JoBvnZjFF16cxNZ+BwCUdRUrdpqkAe2NcWomgO0DTrhsDcg7zQaq9BEdgS8iV/oqGBd57OaycvHvnJyD1WTAPTv6AYDknUTHEIimcGY2gFfJ567bbgbnQCRZOmkxF4hjo+zcKbBTgo8gdIWCvnXMS9dWcWDUo8zHEWzud8BoYB0W9EkXFqdFkooMuW34/M/eBZfVhJ/81GH87tdO4bYtvXj/6/cAKD8/KBgvHCQ+5LLBaGDk4Fknp2cCODDqaeg5JHknZX+J9mdVDvr6ysg7AWlsQ6mgL5pM439ensH33bhRSZL0WE2IJDNl5egE0S584fAkshx41Q6pSi3GHpUzc5n1xzDqLZT9k5SfIPSFgr51SjyVwclpP+4sknYCgNVkxOY+R0cFfaKnz2nNBbBjvQ584efuhtHAYDIyfPxdtyhW6uWy54FYYdBnNDAMuaxU6auD5XACc4E4bmw06DPRRoDoDJZl5+CBHmvZ+3jLyDu/fXIOoUQa77prs3KbS+53or4+op155Mw8/vKRc3jTgQ24fUsvgNy5W6qvL5HOYDmcVHrmBSTlJwh9MVW/C6E18VQGVpOhQMvebE5M+ZHK8DX9fIIdg05cXuy8nj6HpfCU3jrgxP/++v1IpDMY8dqxFJI2ZWUrfbEUNvU5Cm4b8dox44/qcNTdjejna7jSZzGSeyrRESyFEnDbTLCZjWXvI/X0rTVy+eLhSewc6lE2zUB+tSSljHsgiHbi1HQAv/ml4zg45sVH33EzDAZpXyOSp6WCvvmAcO4srPTZzUZyaiYIHaFKX5MJJ9K45y8exxcPT7X0OISz5W15G4x8Rrx2LIQ6p7qlVPosa/MYgy4rxnqlQE7JPpap9AWLevoAYEufQ3GhJNRzelo2cRmt38QFECMbKPvb6XDOkc5094ZuKZzAoKt8lQ8APA4LQol0gWTz7FwQL0/68a47NxckA5VKXwc5KRPrh7lADO/9j5fQ57Tg337ytoJWEZGwKJVgnZXbJUa8xZU+GtlAEHpCQV+TOXRuEb5oCi/nuUq2gsPXfNg93FPWWrzfaYU/mkKqiZu0X/rcUTx8er6ux4pKX3F/YjEi+1iu0heIpZSLlWDrgBNzgThJDGvk1EwA2waca97PWqE+j+7gQ988g+//+DNdHfgthaoHfV7Z4CJfYv6lw5OwmAx4+y2jBfd1Vdg4E0Sr+cKLk1iJJPGpn74DQ67Cql2lBOusX3LDLg767BaSdxKEnlDQ12QePiMFNddWWiedzGQ5jl33lZV2AkB/jxQMCmMCvYkk0vju6Xn899Hpuh4fTWZgNkrDXSshLkSlevrSmSwiyczaSp/s+Dm5StW+WtDCxAWg7G83wDnHY2cXcW4+VPd3vBNYDicr9vMBkpELAKWvL5bM4Gsvz+BNBzasScJVWq8IotVMrUax0WPDng2uNb+rJO8UI5CK5Z3Uv00Q+kJBXxOJpzI4dG4RAHB1uXVB39m5IMKJNO7cVj7oG5CDPmFMoDei1+7o9dWyc30qEU1m1vTzlcJqMsJiMpTMnAuXMbe98Hm2DchzC1v4mXUaK+EEZgNx3NigtBMg985uYNoXw4w/BrOR4e8ev9i1Gzs1lT6RVPLLm+HvnJpDKJ7Gu+7cvOa+uaCPKn1E+zHrj6+p1glylb4S8s5AHH1Oy5reV5uFgj6C0BMK+prIMxeXEU1m8Kod/VgOJ8v2lemN6Oe7vUKlT2SrV8LNqfQtykGfL5rCleXaXUMjiTScVaSdArfNVPJCJDKSayt9UtB3vYXV2U7j9GwQQOMmLgDJO7uB56+sAAD+4PtuwFwgjs+9cL3FR6Q90WQa4US6urxTrvQFYilksxyffPoKdg714K4SSbgeqvQRbcyMP4aRomqdwGw0wGExljx3Z/0xjHjXPs5OCT6C0BUK+prIw2fm4bKZlIzutRZVjl66topRrx2jZTJ0ANAvgr5Icyt9APDStdr7HaPJDBxWdWa0Lpu5ZMAdKBP0eexm9DktuLpM8k61nNbIuROQgr5EOgvOaVZZp/LilVX0OS34yXu24P5dA/jHQ5e6LpBZDkkJssEq8k6PXVJR+KNJfO/sAs7Nh/ArD+wo6eZcbdYZQbSKTJZjIVi+0gdI1b5gbO25O+ePrxnXAOSk/LTWE4Q+UNDXJNKZLB47u4CH9g0r+vdWyAU553jpmg93bC3t2ikQPX3Nq/RJbl52s1GpRNZCJFlbpa+UXEoEfW77WuORLf0OqvTVwKnpALb2Oxo2cQGkjQAAJNKUAe5UXriygru29YExht9+/R74oil88umrrT4sTVkKS2vYgFp5ZzSFv3/8Irb0O/CWgyMl72s1GWA2MnLvJNqOpVAC6SyvGPS5yyRYZwOlK4R2sxGZLEcqQ0EfQegBBX1N4vDVVfijKbxh/wZs7nOAsdYEfVOrMSyFEhWlnQDgsppgMRqw3ER5p8nAcN+uARy9XkelL5Gp6twpcNnMJasM4uJUXOkDgG39zpZVZjuRUxqZuABScz8Aknh2KFOrUcz4Y4p88aZNXrxx/wb8+zNXm+oOrDdLqit90vryP8dncGY2iF95YCdMxtKXYsZY2fWKIFrJjOzAWUkx5LavDfpC8RRC8XTJYFH0+MXTtNYThB5Q0NckHj4zD5vZgNfsHoTNbMSIx96SoO+y3C+3b+Nat618GGPo77FgpUlGLotByQDhrm19uL4SxWKwthmB0VS65Iy+UriqVPpKBX1b+p2YpbENqvBFkpjxx3CjVkGf2AhQr0dH8uJVqXJ/945+5bZ7d/YjnEjDV2JIeaeyJK+VQ1UqfRaTAU6LES9P+jHWa8cPFo1pKKbcekUQrUSMXdhYojdPUOrcnROD2SsFfUm6zhKEHlDQ1wSyWY5HzsxjfPeQUo3aPtiaytG0PHZgkzysvBL9PZbmuXeGExhyWZUK5JEaq33RRC09fabSlT6596CUJHHrAI1tUMspuZ9Pu6BPWqZobIN2TJxfxK1/+r2mSJZfvLICr8OM3UO5RJPHIcnHS9m5dypLoQQYA/rKzD7Nxyv//b88vhPmMlU+AQV9RDsixi5UlXcWfceVGX1l5J0AJfgIQi8o6GsC5xdCWAgm8LobhpXbtvY7cWU50vSG5cnVKKwmQ1WHOUAa0L7SpDl9i8E4Bl027B9xw2Y21NzXV0tPnySXKl3psxgNSpCRz1bZwZMkntW5vCRVk3eXmN1UD7lKHwV9WhBJpPF7XzuF1UgS/3tqXvfXe+Gq1M9nMOSMSvL72rqFpVAC/U5LWalmPr1OM0Y8NvzQbZWrfADgspK8k2g/Zv1xuKymin3bbvtap+xZf/VKHyX4CEIfVAV9jLH7GGPvkf9/kDG2Td/D6i4WZKmiGPINSLPfQvF004afC6ZWY9jU5yjpFFeMJO9szvGJ+VZmowG3bOrFkRodPKMJdXP6ACn7GE1m1vQTBWIpuO2mku+NEvSRmUtVpn0x2M1G9KuoeKhBBOEU9GnDXz96HnPBOIZcVnzvFX2Dvhl/DFOrMdy1rb/gdm8XBn3L4UTVweyCP3nbAXziJ2+H1VQ9UdVDlT6iDZnxxypW+YBcpS8/uT0XiMHAgOESiWe7hdZ6gtCTqkEfY+yPAXwQwO/KN5kBfE7Pg+o2xMZGSHqA1g38nlyNYnNfdWknIBkSLIcTulcjU5ksVqNJpRfmjq29ODMbUO1YxzmXKn1WtZU+KTgMF22kgvFUSedOAPA4zOh1mHFtheSd1ZhajWJTn11VYkEN1NOnHcen/PjMc9fw43dtwY/fvQUvT/kLxqVozYvyfL67txcFfY7CAeXdgJrB7IJbN/eqNjoieSfRjsz6YxX7+QBJVZPO8oK1e9Yfx7DbVrIiLky7qNJHEPqgptL3gwDeCiACAJzzWQDa6LbWCcKsIL/XoxVBH+dc2pD3Vs7OCfp7LEiks4jo3FS9Ek6Cc2DILW2YbtvahywHjk/6VT0+kc4iy1GDe6cYeFwU9MVSJU1cBFv6nTS2QQXTvhjGVPSMqoUc3bQhlcnid792CkMuKz7wxj14aN8wOAeeOLeg22u+eGUVHrsZe4ukvuJ7Fui2oE9lpa8W3OTeSbQhc4HKM/oASd4JoMDBcy4Qw8YyA91tFgr6CEJP1AR9SS6VejgAMMac+h5S9+GLpsBYoSvkWK8dJgNratAXiKUQSqSxSWWlr98pD2jX2cxFzOgTG6ZbN3thYFDd1xeVg1L17p1i4HHhRioYS1XsT9g24MQ1GtBelWlfFGMqEwtqENnfBG0EGuKLhydxdi6I//vWA3DbzNi30YVRrx3fe0W/oO/EtF/6PhsKq74umxmMAYEuce/knGMprL7SVwsumwnhRJoGVhNtQyyZwWokWXFcA5AzRcs3c5lcjZbdg9BaTxD6oibo+zJj7F8BeBljPwfgMQD/psWLM8Y+xRhbZIyd1uL52hV/NAm3zQxj3sbHZDRgc5+jqUHf1KrkmqU66JMHtOs9q28xKFudu6Xsn8tmxu5hl+ICWY2ILAN11DCcHVhb6QtUrfQ5MBuIUb9BBQKxFILxtLZBn9LTR/LORvjKkWkcGHXjjQc2AJDGsrzuhmE8fXEZMZ2q+aF4Gn3OtYGQ0cDgtpm7Rt4ZjKeRTGd1C/qyHLorLghCLbOyc2e5ip1AqGpEgjWZzmLWH8OWMnsQO1X6CEJXqgZ9nPO/BvDfAL4KYA+AP+Kcf1yj1/8MgDdq9Fxty2okiV5HiYHfA86mBn2TNYxrAKCYEug9tqHUfKsNHpvq11UqfapHNkifRbFkqlrQt23ACc6lnjWiNNO+2s4xNZCjW+NcXgrj1EwAP3BzoVvk624YRiKdxdMXl3R53Vgqo5gzFON1mLtG3inWKrVGLrVQbr0iiFYxJztwVpd3ClWNlGCd8ceQ5cDm/tKCMRrZQBD6osbIxQngCc75ByBV+OyMsfI74xrgnD8FoDZv/g7EH00VmLgItg44cW0lgmy2ObKdKbEh71Pf0wdAdwdPUenL3zD1OdU7h0aSNVb6lD6DXKWPc45gPK38rhRbFAdPCvrKMe2TMsC69PRR0Fc33zg+C8aAt9w0UnD7ndv64LKZdJN4RpPpsq66Hru5a9w7hRmOXpU+YK0ygSBahZi1V6u8U/TE5zuZ56PMZKWqNkHoghp551MArIyxUUjSzvdAqtARKvFFy1f64qksFuSeNr2ZXI2i12FWMsfVEMYzzejp63WYYTHlTsd+pwUrEZWVvkTjlb5IMoNMlleu9NGsvqrkgj6Sd7YLnHN84/gM7tnej2F3oRzLbDTggT1DeOLcIjIaJ5+ysmufCNqL8di7R96pZ9DXY6Wgj2gvZvwxMIY160kxxQlWoTYqJ+8kVQdB6IuaXTLjnEcZY+8F8HHO+V8yxl7W+8CUF2fs5wH8PAAMDw9jYmKiWS+tmnA4XPG45lej8CK65j7BFWlh+/pjz+GGfnVVqkY4eSkOr5nX9B7aTcCJ81cwYZzR7bjOXo3DacgWHFdgIYl4KotHHjsEq6my9f/RBemC8srJlxG5Vv19TMub25NnL2IidR0AsBKTAoq5ySuYmJgq+1inGXju1EXsyk5WfZ1mUO3cazYvnE3AZgSOH35Ws5ENWdnA4tzFy5hA+c9mPRFPc3zpXBJv32WB21r5fb7iz+D6Shyv3Zguea6MIo2VSBKf+sYT2NWrfh2qdu4l0tLnNj91DRMTs2t+nwzFMR/MttX5Wy/PX5OC1wsnjmDWos15L7jkk64Tzx4+itBVdYmt9UC7rX3riWPnEvBYGJ575qmK90tmpDXgxJnz2BS/imfPJmAxAmeOPo9XSlwfOOdgAM5fuoIJNq3HoWsCnXtEq2j03FMV9DHG7gHwYwDeW8PjNIFz/gkAnwCA22+/nY+PjzfrpVUzMTGBSscVe+Jh7N2+CePjNxTcvtsfw1++9AQ8YzsxftcWnY8S+NBLh7B/iwfj47eqfszGIxOwed01PaZW/vbMs9jmMWF8/C7ltsWeKXz5wknccOtdVY1n/C/PAC8fx6tfdbcyCqMatkPfxcDGMeUzOT7lB558FvfeehDjNwyXfdyuM88iaTVifPxuVa+jN9XOvWbzuetHsHUwigceeLWmz2t5/LvYMLYJ4+P7NH3eTuWZi8uYeOxFvOrgTrz11Tsq3nfim2dgMU3iN394vKQ77S3RFP75xKNIerdgfHyn6mOodu4thxPAY49h/97dGH/V1jW/f9x/GhdOzrbV+Vsvhx8+B9OFK3jzQ+NrnEobZXQhhA+/+BS27b4B40Xy3PVMu61964lPXnoRW4fSGB+/t+L9OOewPPEwBkY2Y3x8Lz53/Qi2DVS+PtieeBjDI2Nr9kvVyGY5gvHSrTRaQ+ce0SoaPffUyDt/A9Jg9q9zzs8wxrYDOFT3K64z4qkMoslMSXnnBrcNNrMBV5f0lwtmshwz/pjqweyC/h71vXX1Umq+Vb+Qlkaqv7bo6XOq7OkDJIlnvlxqTu5RqDZsdmu/oymfV6ei9bgGgc1kQILknQpLYUkS/tjZxYr3S2ey+PbJOTy4Z6jsOBKPw4zNfQ6cmVXnlqsW0ZdTbn6mxy4ZuTSrp1lPlkIJDPRYNQ/4gHw5Osk7ifZg1h+r2s8HSA7BbrtJce+cXI1gc5l+PoHNbKhLyv+Phy7h/o8cQjRJ3xOCKIca986nOOdv5Zx/RP73Fc75r2vx4oyxLwJ4HsAexti0LCHtKoRRQansk8HAMOq1Y0YOOPRkPhhHKsNrdlXsd1p1de/knEtBn7so6JODwFUVfX2ip8+hsqcPkMY25M/pmw3IbmSeyheyvRvdmA3EsaoiGF1vcM4xo/FgdoHNbCQjlzyWQ9L5d/S6D/4Ks+6eu7yC5XACP3BL5QrRjaMenJ4JanqMoi+nnMGS12FGlgOhROdv0vSa0QfkG7l0R/8j0dlwLiWQR6okSAUumxnBWAqcc0yuRsv28wnsZmPNPX2pTBb/8fx1hBJpvDzpr+mxBLGeUOPeuZsx9gnG2KOMsSfEjxYvzjl/F+d8I+fczDkf45z/uxbP20745A1ZbxnJQY/VpIwc0BMxZkCtc6egv8eiqtpWL4FYCslMFkOuwguIqPSpmREoKn32MoYRpShV6bOZDfCWqMjmc9OYFwBwctqv+rXWC4FYCqGEtjP6BLY6NgLdjBhzkslyPHmh/LiF/z01B5fVhPE9QxWfb/+oG5OrUQQ0dNNUKn0VjFyAwsHNncpSSL+gz2ExwsCo0ke0B6uRJBLpLDZWSZAKpARrGouhBOKpbFnnToHNUnuC79EzC0py+qVr7W0I3w3KBqJzUSPv/AqAlwH8AYAP5P0QKlCCPmfpYMJuMTbFnli4ZtUu77TCF00indFHWrdYxvVOjItQU1GLJjOwm40w1iCtcskXIsFcII4Rj72q+ciNYx4wBpyc1lYK1w3oMa5BIEl+KOgTLIcSGPHY0O+04PEKEs9rKxHs3egq66ApODDiAQBNJZ7RKvJOoX7ohrENpSTqWsEYQ4/VhHAXVESJzmcuoG5Gn8BtNyMUT+G6POqo3Iw+gc1Ue9D3uReuY9Rrx94NrrYO+s7NB3HHnz2GQ+cqy/IJQi/UBH1pzvk/c84Pc86Pih/dj6xLEBuacpU+h8WEaEr/i/n0ahQGpn6hFgz0WMA54NNpYyZm9A0VBX0Oiwk2s0HVuIhIIq16Rp/AbTMXyKVmA7Gq/XyAVJndMdiDE1P+ml5vPSAGs+tV6aORDTmWwgkMuW14YO8QJs4vIlUmKbOosgJ1YFQK+k5rGPSJjVu1Sp8/1tlS6WyWYyWSxIBLPwMJl81cIEcniFYxo3JGn8AtyzuVGX3V5J2W2lQdlxbDeP7KCt5912bcta0Px677y66HAPCz/3EEXz7SfBfocCKNX/78MaxEkrhCY5+IFqEm6PsWY+yXGWMbGWN94kf3I+sSqsk77RZjU+Sdk6tRbPTYYTaq+chz9DulDaPamXm1sijPKCwO+sRrq5GWxpIZOKy1BX0um6lI3hlXLVc5OObBiekAOCeZRj5Tq9JmoNa+UTVQT18hQk740L4hBONpHLnmK32/YGKNdLoUfU4LRr12nNKwr0+sa+WGswspdaDD5Z2+aBKZLNet0gesXa8IolWIwezqe/okVc3kahRGA8NolaRgrUYuX3hxEmYjwztu34Q7tvUhlsrgldnS61gmy/HEuQW8cGVF9fNrAeccv/PVk8qMX7qWrWXi/GLHXws6ATURwE9BknM+B+Co/HNEz4PqJnJGLqXlnQ5zc+SdU75Yzf18QE5mqZeDpxhqPFRiyGt/j0WVvDOSTMNZZmNZDiE5AaQm8IVQHCMedRexm8a8WA4nFJkLITHti8JlNSkDebXEZjYinqZKn2A5LLlF3rdrEBajAU+cW1hzn1gyg1AirbrXbP+IG2dmCit9Xzw8ia/UmRWPVan0eUWlr8PlnaK/clBFcF0vxcoEgmgVc4E4rCYD+pzqKttuu6j0RTHitVVNPNtr2BPFkhn899EpvGH/Bgy6rLhjq1SPKCfxXIkkkOX67WfK8dkXruPbJ+fw/tfvgdHAmrLn6yRC8RTe85mX8MXD7TH/uJtR4965rcTP9mYcXDfgiyRhNxvL9tQ4mljpq7WfDwAG5Oy1Xg6ei6EE7GZjyXELfU514yKiyUzN8k6X1YR4KotkOouFYBycq5e+3rTJC4DMXIqZ9sUw1ufQbCh7PtLIBrpQAtIYhpVIEoMuK3qsJty1va9kX99SmX7ZchwY9eDKckQJLqLJND787VfqvhDHhMFSme+m294dlb5a3+d6oEof0S7M+GLY6LGpXufdNhMS6SwuLYaxpa/6HF2r2Yh4Wt1a/+2TswjG0/jxu6U5x8NuGzb3OXD4aumgT3xX9VIuleLKUhh/+u1X8Nq9Q/il1+yoy5202/FHU+A8V0Um9EONe6eZMfbrjLH/ln9+lTFW2eKQUFiNJitmxOwWk+5Zn1gyg6VQoi7Z3UCPehfNelgMJTDktpa8gPQ5VVb6Emk4axjXABTaoIuK3UaVQd++jS6YjQwnyMylgGlfTJd+PmB9yTuD8VRF047VaBKc54KMh/YN48pyBFeWwgX3qySdLsWNcl/f2bkQAOB/T80jkswgkqjvfa9m5GIzG2EzGyqOnOgElsMU9GlNIJbCxPnFspt3onVcW4lgSxUzlnzEnMkLC6GqM/oAqdIXV7kneuzsAsZ67bhrW67j6I6tfThy3Vey/UIEfatNrPQdOr+EVIbjT3/gAAwGVnPP4npA9CvPk3pKd9TIO/8ZwG0A/kn+uU2+jVCBP5qqOAbAYTEimcnq5o4J5Aw21Cy4xbhtZpgMTJWhSj0sheJlN6UDPVasRBJVe+fqqvTlDTxWehRUyjutJiP2bnCTmUsenHNM6TSYHZD6PNbLhfIXP3sUb/2HZ8oadyiVJTkh8+BeaRzDU0WjG4QzrpqePkAa2wAAp2SJpzA7iNQ57LiavBMAvHZL11T6RIJMD1w287pw7/yvlybx+o89iZv/5FH89Kdfwk9/+jBZ3LcRnHNcXY5g+6D6oE/I/dNZXtXEBahtTt9cII7tgz0FSeM7t/ViNZLE5aW1Ziniu7ocSTatJ//YdR/Geu2KkqiWoHa9IBJaC0EK+vRGTdB3B+f8pzjnT8g/7wFwh94H1i34osmyJi5AbnBxVMcN7ZTiqlh70GcwMNUyy3qo5C7Y57QgnspWlb9GkumyZhHlyFX60jVX+gDJzOXUdIA2JDK+aArRZEaXcQ3A+nHv5Jzj5HQAV5Yi+K3/Ol7y/BJVd/G9Geu1o8dqwjXZEl2Q65dVV4Eactkw5LLizEwAV5cjOHx1FRaTAZE6g41YMgOryVBxlIrXYe74nr6VcBIWkwE9NaoNaqHHZkIonupq8yjOOT76vQtIZTje99Bu/MTdWxBNZpTkBdF65oNxRJMZbB/sUf0Yty2X9K42ow+ozchlPhDHhqL1rVJfn+i/TaazTUmicM5x5PoqbtvSq9xmNzenpaeTELNa5yno0x01QV+GMbZD/IMxth0AnbEqqVbpE9InPSWeC/JYhA0qK1nF9MsVNz2o5C4oZLHVJJ6xhip9Kcz5Y3DZTDVt2m7a5EUokcbVFbJeBnLV5E0k72yI2UAc4UQaN2/y4rGzi/j4E5fW3CdXWZI2O4wxjPXalTmJgsVQHEYDQ1+FpFMxB0Y9OD0bwH8fnYKBAd9340ZE6lybYqlMWWmnwG03w9/hlb5gPAWP3axLL6vAZTMhleFIdLGZ0eWlMBaCCfzCq7fj11+7C6+7YRiAJCck2oMrcvVs+0Atlb7c/mezip4+UemrluBIZbJYCiewoch1e9uAEwM9FrxUQhq8lJdAUNM60iizgTgWgomCoM9G8s41iJnJS6GErqo3Ql3Q9wEAhxhjE4yxJwE8AeD9+h5W91Ct0iekT3pmfoQxg9tWXyZ6oMeiS09fNXfBXD9h5YAzksjU3NMnJCfBeBqz8mD2WrhpzAuAzFwEeg5mB6SgL5HOdnWlAwAuzEv9dL/35n14+62j+NhjF/D42UJnTvF9GMgbETDqtSvzswSLwQQGeiwwVKi0FXNg1INLi2F8+cg0xvcMYfuAE8l0tuLcq3JEkxk4qgyF98rOfp1MMJaue21Vi0hSdfOsvmcuLgMA7t05AADYKveNXaegr20Q8+VqkXe68r4balpMrPKaUS3BsRRKgHNgQ5HzN2MMt2/pw+ESlb78fYxePgX5HL0ujdK5dXN+pW/9tCqoRexRs1z7z+XMbABn57QbRdTpqHHvfBzALgC/Lv/s4Zwf0vvAuoFMliMQS6G3Sk8fIDnl6UUongZjqHmsgaDfadGl0lfN9a5PnhFYKSOXyXLEUrVX+tx5m6g5lYPZ89k51AOHxYgTU2TmAgBTq7KEuI6xIGqwmaWlqpsrHQBwfkEK+vYMu/DnP3gj9o+48ftfP11wn6VQAg6LsSDRMdprV6qtgsWQuhl9+RwYcSPLpdd4x+1jcMivEa3DzCWWysBW5XvZDfLOYDxVUM3QA3eeHL1beebSMrb0O7BJ7vsa8dpgMjBcL5ItE63jylIYDotxTaBVCXGtHeixqFLTiER4NWWHkAJu8KzdP9yxrQ/TvhjmAoWJsKVQXNkrNKPSd+y6Dw6LEXs3uJTb7OtEtVILwVhuXatH4plMZ/GBr5xQ5iDm82tfeBm/8vljXZ8wVosa904bgF8B8CEAfwTgl+TbiCoEYpINbW8V905AX3lnKJ5Gj9VUU8Y/n/4eqy49fSKQLGeA0C+/b5UGtIuMWa0BbUFPXw2D2QVGA8OBEQ9OUKUPgCQhdlqMBf0bWmIzqdsIdDoXFkIYdlvhcZhhMxvxAzePYj4Yhy/vO7BUog921GtHKJ4uqAQthRKqnTsFB2QHz36nBQ/uHUaPVXrfw3UkpdTIrr0OC/yxznbvDMZSup33AleXB32pTBYvXFlVqnwAYDIasKnPQUFfG3FlKYJtA86apMwiIaJ2ZJRNCfoqJ/gW5F784RIB6IERyZTqwkKho/FSKIHdw1IAppc5XT5Hr/tw8yYvTHmzCe2W5sxm7iTyr1v1OHheWQ7jK0en8YWi8ULTvqjkbL0cwStU7QOgTt75nwD2A/g4gH8AcAOAz+p5UN2CT7YiV2Pkome5PxhvbFMy0GNFNJnRvBqZG1xfJuhTMRg+KjdjO6y1VfpExnE5nMBKJKnauTOfmzZ5cGY2WJf0rdsIJ1KKBE0P1G4EOp0LCyFlUwJIFWVA6ncSiMHs+QhZ7UxeX18lk6RybPTYsH3QiR+7ewssJoNikBStw/QglsxUdO4EAI/djHgq29HBfDCe1r3SJ75b4S4N+k5O+xFOpHF/XtAHSIGC3j19h84vrqkIEaW5shzGthr6+QDAaTHCwKB6zIPdIm1Lq+2JREWoVMJWVIuL1Q9LoYRSdauUTNaCaDKNV+aCBf18gHQtI3lnIaF4ClaT9LnX4+Dpi0h7yUPnCufVCsk4AHzrxFwDR9g9qAn69nDO38s5PyT//DyA3XofWDcg5k9VNHJpSk9fukBXXysi+FoOabtIVguKHRYTbGYDVitIS4XJRK3yTpPRAIfFiIuynK4W507BtoEeJNNZ3QbXdxKRRKbmwLsWhLyzmy+WmSzHpcVwQdC3Y3Bt0LcUSmCwKOgblQ10RNAnDXCvvdLHGMNj73sN3vfQLgC55Eg9TnfRVEZRMpTDIwdLndzXJ1X69O7py80V7UaevrgMxoB7dvQX3L61X6r06SXNmgvE8J5Pv4QH/noCf/vYBarAVCCRzmDaF6vJuROQ1pR33bkZb7lpo6r7iz1Rtc9iPhCHxWQo2T4z7LbBbGSYWs0F8/FUBsF4WnE71suRXHBiKoBMluPWoqCP5J1rCcbS2NzngNnI6pJ3ir32xcWw0moCSOvKsNuK8T2D+NaJWZJ4Ql3Q9zJj7G7xD8bYXQCe1e+QugeRfVBV6dPZyKWRoE9sMJc0Dm58UfH+lA+K+53Wihk5UX2sdWQDIPUanJONM+qp9ImMZLdXn9QQTqR1tay3qezz6GSmVqOIp7LYkxf0jfbaYTUZcGmxqNLnKlxTRuWkhchsr0TkAe419N4IDAamyLfE+lTPgPZYMl3dyEX+7neqgyfnvCk9feK71a3yzmcvLePGUc8a1ceWfifCibRu/VfCgGrnUA/+9rGLePBvJnCkhAEIATn4BnbUYOIi+LMfvBEP7h1WdV9h5BJPV6/0DbutJaWmRgPDiNeujKsCcgZYgy4r+nv08SnI59ikbOKyqTDoc5C8cw2hhOSAPOSyKbLdWvDl9YVPyPNqM1mOZy4t4/5dg3jLwRHM+GN4mWYrqwr67gLwHGPsGmPsGoDnAbyGMXaKMXZS16PrcNTJO2X5lO6VvsbknUB1F81a8UeTMDBUlJ7291SeESjet3pMalw2k3LRr6fSZzUJlzFawCOJdN1GQWoQlb5uDvouyFXnXcO5TLrRwLBtwKkMGk5lsvBFUxjsKQzmBnossJoMioNnboB7bZW+YoRZTD0D2tWMbPDapbWxU81c4qksUhmue0+fCCq70b0znEjj5Ul/QT+fYOuAJNMrnkGpFWJG68fecTO+8ov3gHPgrx89r8trdTpXZLXB9oHaKn21ohi5qKj0VTKU2dTrKBhjk28c16/j7GHB0es+7Brqgacoqa12JMV6IhiT1GjDbmtdlT6x197osWFClniengkgEEvh/l0DeN3+YVhMBnzrxKymx92JqAn63ghgG4DXyD/bALwZwPcDeIt+h9b5iI1Mr7P6nD693TsbqcKIviCtgz5fNAmP3VzRYKbPaamY5Y3U2dMHFFpJb6yj0pcLRKjSF06kax6bUQvroacvF/S5Cm7fOdSjVPrERqW40scYw2hvbmzDYki6cKodzF4OJeirt6evStAn5J2BDq30KeNw7DrLO60mWE2Ggjlj3cLhqytIZ/mafj4gN9dNr7ENc/L3ZYPHhju29uFHbh/D4aurTTH5aDcWg3H8/tdPremDE4hxDdvqqPTVgk1lpW8hGF8zoy+fTX12TOdJ/XKJMBv6qiiIGiWb5Tg26VvTzwdIc/qyHEiSF4CCUEts8NjqlnfazUa8/oZhPHt5GfFUBk9flCp+9+4cgNtmxgN7BvGdk3PIZNd3sK0m6DMBmOecX4cU8L0NQIBzfl2+jSjDajQJk4FVDLiaIe8MJ7Tp6dN6w+GLpipWQQFZ3lnhAtxYpU/acPY5LcqFphbWi6OkGiLJtOL0qAdqNwKdzPmFMEa99jXrxY7BHkz5ooinMhUreKNeu9LTtxiU7ldrT18xTvkzrWdAuxojF0XeGe1MB8+gMgNV30ofYwxDbmtdJgftztMXl2E1Gdb0PgHSxp0xfSt9LqtJuRa8Yf8GZDnwWNFszG6Hc44PfvUkPv/iJH7588dKqleuLEUw5LLqKuMH8nv6ygdFnHPMBeLYUCGpNdbrwEokqSSslvLknQM9Fl0D+yvLYfijqZLntNqexfVEKJ6G22bGsLt+eWevw4zxvUOIp7J44coKnr64jP0jbkWp9pabRrAYSuDw1fUt31YT9H0VQIYxthPAv0MK/L6g61F1Cf5oEl6HpaK9sdlogNnIENUpcOCcyz199W9KzEYDvA6z9pW+SLKiyQ0gyzsjybJSCKXSV6ORC5Cr9I3UOKNPYF0HfWZqiSQy+lb6hJS2i9/riwsh7NngWnP7zqEecA5cXY7kBrOXCObGeu2KnGmxygxMtfTUWenjnCOqYn6mkD51aqUvIM+XaiSpppZhlw0Lwe6rQD17aRl3busrmXizmowY8dh1q/TNB+LYkKfy2D/ixlivHQ+fntfl9dqVrxyZxqHzS3jzjRtwcjqAP/nWK2vuc2UpXNNQ9npRI+UPxFJIpLMlxzUIxoS5VZHkvb/HoiiI9JJYiqHspSp9StDXxdeyWuCcIxiTfCc2uG2IJDM1G1aJvfY92/thNRnw7ZNzODbpw/27BpX7PLh3CA6LEd86ub4lnmqCviznPA3g7QD+lnP+PgDqbJjWOb5I5cHsArtZv8beRFrqOWl0UzLQY9XBvbN6pa/PaUEinS3b8xit070TyPXJ1DqjT0DyzhwR3Y1cuvu9TmWyuLxU6NwpyHfwrFTpE5ntWFKqCHrsZqXvtF7sZiMYq31kQyKdBeeoWkF3WU0wGljH9vQplT6djVwAyZFQyHa7hUgijYuLYdy+pa/sfbYO6Derby4QKwj6GGN404ENePbSSlf2T5Zixh/Dn377Fdy1rQ//8K5b8Quv2Y7PvziJrx2bLrjfleVIzc6d9aAmKMoNZq/Q0yePbRBujkuhBPqcFpiNBvT3WJHO8oKh4FpyYjoAt82E7SXGW9iboO7qJGKpDNJZrsg7gdrHNviiKfQ6pdm2r9rRj68dm0Yqw3H/rpxk3GEx4cG9Q3jslfVVxS9GTdCXYoy9C8BPAvi2fJv+V7guwBdNVg1qAOlk1KunLyc/ajTos+hi5FJuRp9AGdBepulakXfWEXAolb46+vmA3IZ2vRu5pDNZJNLZpvT0dWt29PpKBKkMx+7htZuq7YNOMAZcWgwXSJSKEQ6eM/4YFkPxhqWdgLQJdlpMCNfo3hlTmYxhjMFtM3VspU+MmtBb3glIn/lil1X6zs2HwDlwgzxMuxRb+p369fQF4hgpSvq98cAGJDPZNTO/uhHOOX7nqyeR4Rx/9cM3wWBg+MDr9+CubX34va+fwnnZ3doXScIfTZUMYrTGZqmuoBEDvCv14m/qLQz6pPmm0n5C/HdZJwfP0zMBHBj1lFR5dfu1rFaEI7Fk5CJ9nvOB2j4XX95e8sG9Q8hyKVFcXGndu8GFxVBiXauz1AR97wFwD4A/45xfZYxtA/A5fQ+rO/DL2YdqOCxG3dw7c1+oxjYlAz1WXYxcqlVClQHtZRbnaDINA4My2LMWxEatHudOIPeaiS6tPqlF2Pk3x8ilOxfr8/OSUUupSp/NbMRYrx2XlyJYCiXgsppKVtDErL5pXxSLoUTDJi4CaX2qLSkl5OrVevoAwOuwdOzIhqC8vupt5AJIlb5QIq2r6VezOTsXBADs27j2vBds6XPAF00hoHE1OJnOYimcWFMtumVTLwZdVjxypvslno+cmcfTF5fxu2/eh839UpBkMhrw8Xffgh6rGb/5X8eRTGdxZVl27myGvFNFr7yoBFWSdw70WGAzGxTJ+1IooSTL+qokkxshmc7i3FwIN456Sv7e3uXXslrJT5wJN9ZazVx8kdxecnzPEADgrm39a66TI/Jeb66OvsFuoepOmXP+CoAPAjgm//sq5/z/6X1g3YDaSp9dx7kt+VmURhh0WbGs4QIZT2UQT2XR66wm75QW6XIOnpFEBk6LqWLfZDnEe1KPcyewPsxF1BCWN6HOOiS2aul2eeeFhRAMTOrfK8XOwR6l0leqnw8o7GFZDCYw5KrvvC6mx2qqeTi7WM+quXcCkoNnxxq5NLHSNywH8d1U7Ts3H4TLZlKq1KXY0i87eK5qW+1bDMXB+dqeboOB4Q37h3Ho3FLXb8xfmQuBMeBH79hUcPuQy4b/9/YbcXYuiL97/IIyMkbvcQ0AYDYyGA2sYiVMbNorrXGMMYz1OpRZfUvhhCKL71f2Fdp/ly4shJDMZHGgXNBnqW5Us57IJc7qk3dmsxyBWK5VaFOfA7/w6u342fu3rbmvaOWZ9cfW/G69UDXoY4y9BcBxAA/L/76ZMfZNnY+r4+Gcwx9NVZUvAnpX+qRNiRaVvnAirdlFUM0MQ0CNvDNd17gGIN/Ipd6ePsrYATmTj2YYuXTre31hIYQt/c6yPXA7BntwZSmMpWCi7Oy9IZcNJgPDjC8mbXA0kHcC0jiUWtennLyz+jnhdZiV4KnTCMZTsJgMdbn/1orY4HaTg+fZuRD2bXBXTNqJWX1a9/UJiWAp2/837t+IWCqDp+RBz2r5q0fO4UQHDYBeDMbR77TCbFy7FXzohmH8yG1j+OeJy/jG8RmYjUxJLOkJYww2k6Figm8hGMdAjxWWKgqfTb12TK3GwDkvqPQJBZGWiWzB6ZkAAFSt9JG8UyKo7FElBYvHbla+m2ofn+Uo2Gv/7pv3FZi4CPJbINYrajRxHwJwJwA/AHDOj0Ny8CQqEElmkMxkVRm52MxG3dw7Nav0yRtNrcY2+CLyDEPV8s4ylb5kpu6h4PfuHMC779pcdnGuhs3U3dUntYgqkJ5GLgYDg8Vk6Nqq6oWFUMl+PsGOoR4k0lmcng2smdEnMBoYNnpteGUuiGQ6q0lPHwC5p6/GSl8N8k6P3dy58s5YuilVPiCv0tfkWX2XFsP43a+dxF1//pgyL1ILslmOc3PBitJOANjcJ4I+bSt9sxX6wu7a3geP3VyTi2consI/HrqM75ya0+wY9WY+GMcGT/l14o/ecgM2eux49tIKtvQ7YSoRHOqB3WKsbOQSqHzcgk19Dkz7onLCOqsEfSLZrIe889RMAC6bCVtkuWwxSqWPgj4Aa9USG9y1zerzRdXtJQFgWD5n5vzdkzirFTXf4DTnPFB02/qebqgCX0RdJQuQKn0xnfo0QnlZlEYQG80ljfr6hJyrWiXUYTHBZjaUlWFEE2lVErJSDLls+PMfvLHuLL3JaIDJwLq2+qSWZlT6ACnI7sb+yWyW4/pKFNsqSKeE7DOazJSt9AFSJvPlST+Axsc1CJzW2o2mxP3VfDe9dnNHu3c2o58PaH6lbz4Qx3s/8xIe+uiT+MqRaSwEEzg57dfs+ad8UUSSGezbWN7EBZCuAUMuq+az+uYDUra/VNBnNhrwmt2DeObSsmpbf/G5dJJUeSGYUPqoSuGymfFXP3IQALCtCSYuApvZiHgFdcF8leMWbOp1IBhPK/JUsSZaTAZ47GZd5J2nZwI4MFLaxAXI6+nrEPfOh0/P4ef+84hu4y1EYUKYDQ57bDWtcWpVY4A0AmbQZSV5ZxVOM8beDcDIGNvFGPs4gOd0Pq6OR2xiqvWsAcK9s/2NXABgWatKn/L+VD8uaUB7effOeit9WmAzG9d9pS8X9OkrcZPe6864UNZCIJZCOssrVuZ25FmlD1QI+sZ6HYoTplY9fU6rSTHrUUu8lkqfwyJJdLKdl0sMxlJNq/S57SZYTYamVfoeOTOPx88t4lcf2IlDvz0OoHaDhUrkTFwqB30AsFUHB89Zfxw9eYPZi7lzWx8WQwlMrqoLNoXjYCclMBaCcQxVCZ5etWMAf/ejN+PXHtzZpKOS1/oKqo75QKyiiYtAyFGPyXPzBntyj+l3WrBcRkFUL6lMFmfnQ7hxrLx6SKyJnWLI9IXDU/jeKwuaJfyLKR57s8FtrUneKZIsavbagOTWPhugoK8SvwZgP4AEpKHsAQC/qeMxdQW57IOKOX06GrmIJtlGpXdK0KeRHKKW7IwY0F6KRnr6tMBqMqz7kQ3Czl9PeScgbQS6URJTaQyDoM9pURznKt0v3xBDs0qfxVjzcPZa5md67WZwnktQdRLBeLopM/oAqddp2G3DYpMqfUJ29euv3YVNfQ64bCYsaOh6d3ZOMi8q5VhbzJZ+7Wf1zQfiFU287twmzQ48fHVV1fPNyRvJTpEqJ9IZrEaSqipmb7t5FAfHvPoflEyl2cXxVAa+aEqVAZuY1fey3GeZvyb291iwqrG888JCCMl0eRMXIF/e2f7J4kQ6g8NXVwAAlxa0k3bnE4ylYTEaFDf0YbcNy+EE0hl174/aViHBiNdOlb5yMMaMAL7JOf99zvkd8s8fcM7XryBWJT6V8kUAcJj1NXLpkQcgN0Ku8VlreaeaSp+l7MiGRnr6tIAqfU2Ud5oNXVnpE9XzShU8ANgh26VXut9ontGCViMbpEpfnT19Kt07AcAf6xxZnCAUTzU8A7UWhlxWLDTJvTMYT8FuNipmGbX22lTj7FwQWwecqs6RrQNOLIYSNZ+HlSgezF7MzsEeeB1mvHRNXdAnJGmdYkokXGDVBH3NRlrrS19XxXGrqfSJWX1KpS8/6HNay+4r6kWYuBysEPSJ4KYTEpjHrvuVz+HCQkiX1wjFU3DZcg7sw24bslx9K1Ete21ABH1x3eSq7U7FoI9zngEQZYzV53SxjhEVMTEEtBIOuWlZj5MwFE833M8HSFpoj92sWdDni6bgsBhhNVW/4Pc5rWUzctFEWlU1QS+s5u41F1FLJKm/kQvQvQF2rtJXea0QfX2VKnhCzmQzG+DS6PNwWiSjqVrkl7WMbBCJn06SxQmCseZV+gBpQ7QQak7ONRRPF/QrbvDYMK9hwHl2PqhK2gnk5M1abjznqlT6DAaG27f04qVrPtXPB3TOeSyCVK2SQ1pSSdUhEg+VAnaBx2GGy2bCjD8Gk4HBm/dd7euxaG7kUs3EBZAq9vYOaVV49tIyjAYGp8WIixqaOOVTrJZQZvWpVBX4oykYDUx18m2jx4ZYKqO0Qaw31Mg74wBOMcb+nTH29+JH7wPrdOYDMVjlZuFq2OVKlR4bWpFF0YKBHovqoO/bJ2fxXy9Nlv292hmGgFQJKPcFjSQzuleYKmEzGZHogMVbTyKJNIwGpmQw9aJbe/qWVFb6dg1JMrhKm50xr7TZGHRZ65pdWQqn1QTOa8tMC+WCmp4+MdZBL7WDngTjzevpA6TPdamJlb78fjctpaWheApTqzHcoDLoOyj3SJ2cLvaUq49URhrMvrHEuIZ87tjah6vLESyqCLTFJrVTKta1BE/NptJarxy3ygrlmFztG+ixwpCneBpwWuCLJpHRsJf41EywoomLQM+WHi155tIybt7kxb6NblzUTd5ZqJaodVbfajQJr92s+nqnZmzD4auriglit6Fml/YdAH8I4CkAR/N+iArMBxPY4LGpOhFFpUqPxl6p0qfNpmSgx4rlkLoL2iefvoqPfu9C2d9LMwzVHZfHbkYkmUGqhMY7mqzfvVMLKslQ1guRRAYOi1GzIKMcUnN/973Xy+EkzEZWNUH0o3duwmfec0dFWZO05mhn4gIADjmpEqlhfYqlMjAbWcn5X8WI72+nBfTxVAbJdLZp7p2AFHiFEmlNZY7lkMZR5G3G3DYshhKabJLPz0sVu70bqvfzAVJ2fqDHihMauYcuBKXB7NX6wu6Q+/qOqKj2iWAknsp2xLksZMLDGq4VWlGpEiZcV9UGq5tk9UOxQqLPaUGWa+e2mspkcXYuWNHERWDvgP70QCyFk9N+3LtzALuGXbiwGNJJjbY2uQTUUulLqt5LAsBGrxjQXvr546kM3v1vL+Dfnr6q+jk7iapXZM75f5T6acbBdTILgbjqTJRdCfq0XwS0kncCwIDLqlpnPbUaxUIwUTZDWlulTzr+4l6JZDqLVIbD2dKgrzurT7UQTqR1l3YCYmRD973Xy+EEBnqqV+YcFhPG9wxVvI/FZMCIx65p9r5HNkqqxcEzlsyoqvIBnTusODdUuJnyzubN6pPGUeRvxqzIZDlWNJD41+LcCUiSuINjHs0qfWJDudFbudJ3YMQDm9mgysxlPhCHSa4kdYJ0bCEYh8VkqGnD3CwqBUXzgQScFqPq750wcykO+vplZUU5k7haUWPiIrCZDW2/3r1wZQVZDty3cwC7hnrgj6Z0GWYfLJKR9zstMBuZaim5L5JSvZcEgBGvdG2cK+PgGYxLbtonZPOfbqM5kzbXIdLQU3UbL4eOwzqLsyiNMNhjVTWyIZJIKwvpmZlgyfvUVOmT7xcscveLKQ6BrZN3Su6d3Vd9qoVIIt0UiW23BthLoURVaWct/P27bsb7X7dbs+cT369aqkuxZEZ1BV4J+jpA7pRPMFY4X6oZiApuvszyQ988g1/6nPbim1C8cPC8koHXQOL5ylwIHrtZlQOj4OCYB5eXwgirPA//9cnLeN9/HS/5u0qD2fOxmAy4ZVNvVTOXRDqDlUhS6T3shL6+eTkxrbdCox4qKWgWgnEM13DeiEpfsb+CMKfTqq9PmLjcqCLoc1hMbT+n79lLy3BYjLh5kxe7hqXz+uKi9mYuoXgKLmtunTEYGIZcNqWiWw1fNKnaxAUABpxWWIyGsvLOsLzPPD0T6EqzFwr6dIBzLgV9Kit9jg6p9A26rAgl0lU33lO+nLX2qZnSmdlae/qAtdlTITfTez5cJbo1EKmFcNOCvvbPjtbDcjih2XgFALhtSx+2D5Yf9F4roopbS9AXTWVUJ2Nsls5xs8uneL5UMxCVvgU5+cY5x3dPz+HYpDqzkVoIxgr7wUUSs5YZWuU4OxfEvo2umgKOm8a84Dy3ua7G42cX8ciZ+ZIbt1okgnds68PZuWDFHh/hKLlHlqt2woD2hWBcOZ/aDZulspFLLY6joqdvTaXPKSp92lTNT88E4bKasKWvvImLoBPknc9cWsZd2/pgMRmUsSqXdDBzkcywCq8Vo167kpiphj+aUj2uAZCCyg0eG+bKyDtFUmklklTMmboJCvp0wBdNIZnOqrIUBgC7WRgZ6NXTp52RC1B9bMPUqnRBNRpYyaAvk+UIxNR/UUW2uTjoE+9XKyt91YbIrgciibQiAdSTbnXvlOSd6jOVzaaepFQsmYGtRnlnpyVPhNy8mUYuYpC2qPRN+2JYCCawHNbWkIJzvkbeKTbaag0WypHJcpyfD6mWdgpyZi5+Vfe/uhJBNCnNoitmLiANZlfz2d25tQ9ZDhy9Xj6wFtXPvRvloK9D5J1q9yjNxmYyIpnOlnQMrjVJpsg7e4rlndpW+q6vRrF90FlgFlMOm0W/MV1aMOuP4cpSBPfuHAAgjYpx2Uyaj21IZbKIpTJrvocjXpvqWXq+aFL1YHY1zx/OU5SpTTB1EmWDPsbYtxhj3yz308yD7DREJrRmeafGi0A8lUEyk9VsU6J2QPvkqlTpe9WO/pJfmmAsBc7Vz1UpW+mTe4xaW+kjI5dIojmzEjvF5roWslmOlXBSU3mn1ohKn1pZHQDEUupHqdg6Vd4pbw48TTRycdtMsJoMSk+fkB1msrxkcFMv8ZTUL51/7ejvscJoYA3LO8/OBRFLZbB/pLZJUP09Vox67Tihoq8vnEgrrrhTvrWbuzm/+vaLWzZ7YTSwihJPUREQxjTt3tPHOcdCMNGWM/qAPHOnEgnVcI2J7F1DPfiN1+7Cm27cWHB7r8MCxrTr6Zv1x6q6wQrsbT5z9tlLywCA+3ZJQR9jDLuHXZo7eIbkNbT48xzx2jEfiFdNZMWSGSTS2Zr7Ukc85Qe0hxLrNOgD8NcA/gbAVQAxAP8m/4QBnNb/0DqXhRqtkPWSd5b7QtWLEvRV6eubWo3CaTHi1bsGMReIr6kMrsrSlz6V2ZlyQZ/YhLa2p6/7ApFaaZaRi9VsRCKd7SqdvT8mNY1rKe/UGkcd8s5ajFzMRgPMRtb2cqdiWlHpY4xJs/rka8yRvOqTmrECagkp0tXc99poYBhyWTEfaEwO962TszAZGB7cW9mUqBQ3bfKoqvRdX4ko/y+SkPnMBSvP6MvHaTXhwIgbL12tUOmT5aJ7N0jVy0Cb9/QF42nEUpk2rvTJku8Se6JQIo0ea21yvve9bveav9VoYOh1WDQxJuKcY84fw0avWnVXe8s7n7+8goEeC/YM59x1dw31aD6rT1lD7cWVPjvSWV51TROD2WsxchHPvxBKIF3CEV7sm3usprLtSZ1M2aCPc/4k5/xJALdwzt/JOf+W/PNuAPc17xA7j1rnyNh1qvSFFHc57dw7ATXyzig29TkUF6vibInod1CbnRELQrF7p6/G4FEPrGYDEuu90pdsXk8fgK4yzhHfpbau9AkjlxrWp2gNRi5A5WHM7UorevoASWqlBH3XVhWZvJaOnuWcSfMDznrgnOPbJ+Zw366Butbtg2NeTK3GqlY1ry3nAr2pUkGfP1aTicwtm3srbgCFo+RGjw1GA2v7WX3iM6zFEKWZ5Cp9hWt9Ii2NSdFqT9Pv1GZAezCeRiSZwYjaSl+bz+m7thLBng2FPbe7hl1YjSQ1CZIF5daZ0V4xVqGyxLPeoG+j14ZMlpdcM8PyMd25rQ+nZoJdlWQG1PX0DTLGtot/MMa2ARjU75A6n7lAHIytbRwuh8iIa93Tp1T6asiKVaLfqbKnzycFfftHpaxncdDni0hfKrVfVJvZCIvJsDboi9T3hdcSm8mIZKZ078F6IZrINCfoM3Vm71clllUOZm8lDmVkQ21z+tRW+oDOlO4GY2lYjAZYTc1tjR+W5+UFoilcWAjjDfs3AICmQ9sDZZxJNzQY9B2b9GHGH8Nbbxqp6/Fq+/quyZU+l9W0JugTg9k3qNygA8CQ24pYKlNhYHgMw/JcXq/d3PbunUrQ16YKg3KSb9HSoZWypM9p0UQWLez/R6qMABG0e5JrMZRYM+t115BkDnZBQ4mn2KMWrzO5AeqV1xrxPavFyAXIfU6lxjYIBdk92/uxHE4o8yy7BTVXq/cBmGCMTTDGJgAcAvCbeh5Up7MQiGOgx6pqMDGQkydGNV4EtJZ32sxGuG0mpVeiFJxzTK3GsKnXAbfNjG0DzjUZ0nqyMx67eY28c1UOHls5Z0hcnLqp+lQLyXQWyUy2KbMSbYrhR/e812LuZTvLO81GAywmQ23D2ZMZ1T19QPtnvksRiqfgtpuabnk/5LZiMZjA0Umpx0z0Kmkp7yxXxdzgsTXU0/etE3OwmAx43Q3DdT3+xlEPGEPVeX1XlyMYclmxc7inwE0ayA1mH6mhyuW1S9eqcr1684GcXNTjMLe9kUutvgPNxlbG3EkknrQK+nodFmU/0gjCCbIWeWe7Jrk451gKrTXLyTl4amfmUkneCQAzJfpx8xEBe61GLpWCylAiDYvJgFu3eAGUd6DvVNQMZ38YwC4AvyH/7OGcP6L3gXUytVoK28wGMKanvFO7oGjAZa1o5LIcTiKWymBzn/Sl2j/ixumiWX0iO+N1qj+uUkGfL5qE22ZSHVzrgZActusCrjfiItxMeWc7Z0hrRSRQip3l2g2nxajbnD6g/XtcShEsmmPXLIZcNoQTaTx5fgkmA8OdW/vgsZs1lXfmMvBr5Z2heLouVUo6k8W3T87hwT1DdV+TXDYztg84q1b6rq9EsLXfiU29DsVNWlBPwCMSi+UChPlAzgnTaze3fU+fUulr056+co6+4rzU6nrT69QmQBcz31TLO81GpDIcqRI9Za0mGE8jkc5iqCjoG3Zb4bKaylb6zs+HlGSRWsoVJnqsJnjs5qryzlpbhQQiQVPq+cPxNFxWE27Y6IGBrcOgjzHmAPABAL/KOT8BYDNj7Pt1P7IOplYrZMYY7GbtLXy1rvQBkgxtqYK8U2RVhU3yjaMezPgLezB80SRMBgZXDQu3x25es6CsRpIt7ecD8jKS63RsQ1jjzGslymV/O5nlcBIWo2HNnKJ2w2k1IZqoYWRDjfJOSe7UfhugSgRjKbia3M8H5Gb1fff0PA6MemC3GDHksiqz4rQgZ1JTeF6K165nVt+LV1exHE7grTfXJ+0U3DTmxYnpyoOTry5HsXXAgU19dsz4YwWGDcKMYtuAU/VreuXPuZRsM5PlWAglcpU+u7kDevoS8NjNqseqNBtF3lm01ovrjVZ7Go/dAn802XDf1lwgBpOBqW/psbTvtWxJVgwU/y2MMewa7ik5oJ1zjh/+5+fwLxOXa3qtSn3RI97yDpsCnygg2GvbB7psZrhsJsyVCvoSafTYTLBbjNg51NN1Dp5qSiSfBpAEcI/872kAH9btiLqAuYB6ZzCBQ4e5LcoXSsNs9GCPtWJPn+ifyA/6gMK+Pl80Ba/DXJMsqlylr9ayvtbkKn2dtWHVCiH5a0alr1PnuVViKZRAf4+l6RLBWnFaTKpHNiTTWaSzvDZ5p9mIeIfJO4Px1JqgqBmIXpvFUAJ3bO2VbnNbmyPvlJOZ9Ug8v3l8Fk6LsS7XznwOjnmwFErAlyi9UQ/FU1gOJ7B1wInNfQ5ksrxgyPLpmQBcNhM2qxiiLRDjhUoFfSvhBDJZrvQIeh2Wtu/pq1WN1GycSh9xcdAnva/ayTvNSGV4TSZVpZjzS4l+o4oZfUCeeV8bXsuEYqBUALtryFVyQHsinUUokcblpdr6/YKxFBjLmYXlM+q1KRXUcviiSfRYTbDU0Vc94rGXlHeG4zk38gMjnnUZ9O3gnP8lgBQAcM5jADTZoTDG3sgYO88Yu8QY+x0tnrPVxFMZBGKpmrXyUk+LPkYuPZpW+iwVRzYoQV+vdEHdLwd9+SVyfzSpekafwG0zlejpS6KvhSYugDSyAeiuQKQWcvJO/TPGVpUB9tXlCL57ak7349GCWgcNtwqnVX1SSmxkaqki2C0dKO+MpZru3Ankqm0AcNuWPgBSIKil4UA5kxrh9lirmUsyncV3T8/h9fs3NFxdummTFwBwyVd6Hbi+Il2DtsnyTgAFfX2nZ4M4MOKpKdEi5GOBEhU8EVCKIKpUgrLdWAjGMeRu33VHJKqL1T1a72l6lWC+scrsbKA2N1glgZlsv2SxaDkoNnIBgF3DPVgOJ9eY34iE4ORq5SCtmKAcYJUaaD/itVcN+vxyAaEeyg1oD+WNoDow6sFiKIHFBmeTthNqgr4kY8wOgAMAY2wHgIavLowxI4B/BPAmADcAeBdj7IZGn7fVCNlLrVp5h9mk+aYnFE/DaTGqzj6pYaDHKmu+Sx/r5GoUAz1WJZPlsZuxpd9RVOlL1uy25CnRJ+GLtE+lb70auYQ1dlOrhBop7SuzQfzQPz+HX/viyx1htbwcTrS1c6fAaVVf6RO9ybXMz+zcnr4WVPryri23i0qfy4qlUEKzc76cSY1S6atxVt/E+UUE42m85aaN1e9chRtHPeh1mHF8qfT5cnVZcu7cOuBUFCciGZnKZHF2LogDsrO0WnI9fWuDOVH1FJt+r8OMUDxdcgZYu7DQ5pW+cmOatHbv9DjKy3ZrYS4QV+3cCeQ5tqe0TfRrgZCJl0oKjMlJlOJgKSwH49Or0ZrWIEktUXovOOq1IxRPV+wTlPaS9e0BR7z20u6d8bQiH75xbG3RotNRE/R9CMDDADYxxj4P4HEA/0eD174TwCXO+RXOeRLAlwC8TYPnbSm1zugT2HWQd4biKU1NXIBcyb/cbJup1Zhi4iI4MOLBybweDCk7U9sX1WM3I5RIF4xGWI22QU8fVfoANMnIRX6vE/J7HUtmCpIPJ6f9eNe/vYDVSBLpbOOSnWawFEpgoKe157AanBaTavMOEbzZLeolNzZz57l3BmPlNyx64raZYDUZsH3AqSQMBl1WJDNZzSpMwXi65LXDaTXBZTXVXOn78pEpDLqsuH9X49OeTEYDHtg7hBNLpQMrMZh9S79DmZsnzFwuLYaRTGeVGbJqsZuNsBgNJYOD4kSv6P8LxttvQw9IhjpLoUTbOncC0qgNxta+h9rLO6W1txEHz2yWY84fV+3cCQA2nWYza8FiKA6ryVDSc0EkuYoTgOLfoUS6pgA6GEuX7c9UxipUGNvga6jSZ4cvmlrzGYTzKn03bHSDdZmZixr3zkcBvB3ATwP4IoDbOecTGrz2KICpvH9Py7d1NDlnsNqy9w4dLMtD8fJfqHoRm4xyYxvEjL587ts1gBl/DM9fXgFQX6XPbTeDc2lRAaTFMp7KtnRGHwBYu7DPrBaaa+QiLVdL4SQ++r0LuO3D38ONf/wofvifn8OffvsV/NgnX4TLZsKvPLADQM69tl3JZjlWIskOkXea1vTXlEMEh3ZzDZU+i6GjvkPxVAaJdLYl8k7GGPZtdBf0xomAQysHTymgLf35DXtsNRm5zAfieOLcIn74tjHNnJZft28YkRRw5Lpvze+uLkcx7LbCYTHBZDRgxGvDpFzpE4qTWoM+xhi8DnNJeed8MA6zkSlzbL0aSQb1YjmcRJYXVozbDYOBocdiWlPpC8fTYAw19QtXoleDSt9KJIlkJqvauRPIVfraUd2wFEpgyG0tKX8WstpQUTCe/+/JormYlZAUBaXXUBH0VTJz8TdQ6RPupMW90MLIBZCuezsGe9Y40HcyVa/KjLHHAfwN5/w7ebd9gnP+8w2+dinN4Zq6MGPs5wH8PAAMDw9jYmKiwZfVnnA4rBzXc1ekhf7iySOYNqmXVUaDcazGuaZ/39R8DDwDTZ9zNigtUo88ewS+DYWnTzrLMeOL4Za+dMFr9mc4vFaGP/3aS/g/d9iwEk4gtLJQ03HNTUuL8qOHnsagw4CVmJThXZy+gomJqUoP1ZXr8vtx9PhJYK75Uq/8c68VnLgmfS7Hj7yIyxZ9zUjEZ/5H/3MaHMAdG4zotxlxyR/AZyZ9GHQwvO+gGZdXpwEAjz/1PMZcrRvnUY1QkiOT5fDPTWFiYr7Vh1MR/3IC/kjh97rcuXfRJ30nLp49DdvyOVXPvzyfQDiebsv1vRQB2URkfuoqJiamm/76v7aPg7EFTEwsAgBmV6X3/HtPH8bsQOMb4umFGGym0tcOayaGi9NR1Z/VNy9LQca27Kx253maw8Q4Pv3oEcT3FiZNTlyJwWvMHXsPEjhzbR4TExN45JUEbEbg+umXMFWjeZKZJ3Hx+iwmJlYLbj9+IQ63GXjqqScBAJNL0gb4iWdfxKS3/dwxrwSkc2V58iIm4ldbfDTlsbAMLl6bxsTEknLb2cvS5/fkk09q8hr+hHRNOXziDFy+C6ofl7/2XZXfz5WpS5iYuKbq8eIzOHz0OJJT7eXcfH4yBmu29Hd/PiK9Xy8dPwXz4lnl9pcXc0HfI88cgW+jur9pdjmGfhsr+Vq+uPRahw6fAJsvHRguBaKIOJN1XTdm5GN+/OkXsD3vexqMJrG6MIeJCalI8Qt7s/BYQ21zbWp0z6fmk9kG4IOMsTs45/9Xvu32ul8xxzSATXn/HgMwW3wnzvknAHwCAG6//XY+Pj6uwUtry8TEBMRxTQTPoOf6NN700AM1PcdX515GYCYALf++j51+BgMOC8bH79TsOaPJNP7ouUfgHN6K8fGdBb+bXImCP3oI99+8D+N3bCr8neUKPvydszCOHkA6exgH9+zA+PgO1a+bODOPfz99FPtuug0HRmVHpSefwT233Ijx/Rs0+dvq4fJSGHjuSezcsw/jNze/UJ1/7rWCM4cuAefO43UPvFp3++9YMoO/OPoEdg+78ME37lUMHQCp8mIxGmAwMDx1YQn/dOIw9t54M27f2qfrMTXC+fkQ8MRTuPuW/Ri/qTEbe715MX4OT81cKTjXyp17xotLwIuHcfcdt+IOle//seR5PHL9El7zmte0vZMpIH/vDz2J2w/e0JLvfTFbliP4i8MT2Lh9D8ZvHWv4+T587ElsHXZhfPzWNb/71uIJPH95WdW6k81y/MGLh/CqHW684813N3xc+dxw/GGcC1nWnDPvf/p7eN0NwxgfPwgAeHjlJB47u4jx8XF8/OxzuHET8OADr6r59UbPPQ+DARgfv6fg9n+58Dy2DXOMj0vP6Zn04aNHn8OOvTdivEGnUj1InJkHnj+Kh151h9Kz1I4MHn8Kdo8D4+O57eZ3lk6g16/u3FNDMp3Fbx76LgZHt2J8fJfqx+WvffHT0vv5+vvuUF1BHlkIAc8/hV1792P8YON9rlry4WNPYudgD8bHb1vzu+VwAnj6MYxt24nxe7Yqt/tengaOnQAA9GxcuzcsB3/xCWwf68P4+M1rfpfNcvyfp78L59AmjI/vXfP7dCaL6MPfxY27t2F8fLe6Py4P13Uf/vbYc9i270aM75G+p4l0BumHH8b+3dtV/w3NptE9n5o0uB/AawEMM8a+xRjTapV4CcAuxtg2xpgFwI8C+KZGz90ypBl9tcu1HGZjXQNvK6GHvNNhMWHIZcU1uVk+n8micQ35vPuuzeh3WvDn/ytlh+oxcgGg9KwI96hW9/QJd7tOkqZpSTiRhsnA1rj86YHdYsSRP3gdvvBzdxcEfIDUEyYcwMQ5X+ug2GYjRp90hLzTIg0TTqowLBK9yTXN6bMYwXnnGCLl5tg1X95ZipxUSTt5Z7lrxwaPFYuhREF/dTmevbyMaV8M7yxKAmrBzUNGXF+JFljIB+MprESS2Jo3g29TnwPL4QTCiTRemQ1i/0h9WxiPw1xSBrgQLOyPU+SdbTqrb1EZzN7e647bbl4j0Y8k05r2j1tMBvRYTQ3JO4UZSD3une0s7yyFaOMolncKIxdTXv+sGio5IBsMDBs8pR02AcAvr8H1yjvFHtSX50Qa1mG2dbuhZqfGOOdpzvkvA/gqgGcANJy+4pynAfwqgEcAnAXwZc75mUaft9XMB+N1NUjrYeRSrhm/Ubb2OxVb7Hxyg9nXatsdFhPee/82nJuXBnvWY+QC5II+0XjdevdO2VykQzarWhNJSBfhdqrOiItI8YVJC7S0YhdBX6e4dwI5455KxBUjl9rm9OU/tt0RBhNue3tsDpxWE5wWo2YD2oMVem02uG1IZzmWI9Vf60svTcHrMOMNOqgxbh6SzpnvnV1Qbru+LF2DtvbnEo9jvdL16KkLS4ilMsrs2FrxlhjFwDnHXCBWYNxWaZB7OzAfjMNoYOhv83XHbTOvMXIJxdOajqACpL1FI/2Xs/4YrCZDTQnocsPnW40YOTZUJhFpkw2N1vT0ydeFnUM9ilNuNbJZjlCicmFitMKAdvGZ1WvkkjPxyX1Pm+lR0CrUBH3/Iv6Hc/4ZSIYuj2rx4pzz/+Wc7+ac7+Cc/5kWz9lq5gPxmsc1AHoZuegzPHhLvwPXVkpX+kwGho1lGpp/4u4tSvBWb6UvWFzpa7GRi63DNqtak+901S7kKn3aBX2+SBK//sWXcfOfPIqjJcwj6kGYIQ22+eYLkNw7ASnTXo2oMrKh9qCv3TZB5Wi3Sh8gGXNoMaA9mc4insqWvXYIA5CFKmMbVsIJPHpmHj94y6gu0u8+mwE3jnrwvVdyQd/Vldy4BoEYwv7d01I/Ya0mLoJe59qh68FYGvFUtiDR6y5KULYbi0HJMVjLUU564LaXMHLR4XrT6zQ35N45K49rqCXxKdbGeJu5dy5VGMwu6LGZ1lZgZcXPrmGXaiOXSDINziuvoSNeO2Z8pYM+EazVW+lz280wsELDJWUOZJvtabSkbNDHGBODbL7CGOsTPwCuAvjtphxdh5HJciyGEjWV+QUOixHprDr5lBqS6SwS6awuZeqtA04shhJrsv5Tq1GM9trLXkxcNjPec+9WALU7h62p9EWSMDC0xD0vH5tJ3cDwbkWq9LWXWYEy2FejTdfDp+fxuo89ie+enoOBsYJNZiMshROwGA1tUy2qRK7SV32TEqtD3mlvYwvzUoSUSl/7BH2DLqsm8k6xoatU6QNy44nK8Z1Tc0hlOH70js0NH1M5XnfDMI5P+ZVgV7QdbOkrlHcCwBNnF2AzG7Bj0Ln2iVTgsZsRS2UKEnxzQWlDmh/0GQ0MLluhZPDItVV87VjzDX9K4Ysm0eds/0STVOlb696p9Z6m12FRpIKCqdUofv/rp5BSMWtxzl/bYHagfSt9S+Hyg9kFLtvama1huQK7uU+qzKmZURlUIaUc9doxH4yXfL5lea2rt8XHaGDw2AsDfqXSt07lnV+Q/3sUwBH5v0fz/k0UsRJOIJPldQ09VRYBjTY94sKtl7wTwBqJ59RqFJt61/bz5fMrD+zE53/2LmwbqO3C65CHzCs9fdEkvI7WZytNRgNMBrZuK32RRKYpM/pqoZwEpR4ePTOPX/zcUWzw2PDNX70Pt23uxTOXlqo/UAXLoSQGeixtJY0th0MO7NVU+mJ1yDvbdRNUDrEZbatKnzygvVGqbcZEgFMt6Ds/H4LXYcaeDa6Gj6kcD+0bBufA733tNJ44t4ALCyFs9NgKzr1+pwV2sxGRZAb7NrphqnNshJCR5Vfw5gKFg9nz75t/v797/CI+/J2zaAdWI0n0OdvnvC2HWw4u8ntHw4m0ojrQCkneWRj0PfrKAj7/4qRktlWFuUC8rLqpHEYDg8Vk0Lylp1GEPLxipc9qKinv7LGasLnPgXSWK9+LSihqiQqJsxGvHVkOLJRY107PBmAyMOwY7Kn6WuXodVjgi+TJO8XaZ23/70e9lF39OOffL/93G+d8u/xf8bO9eYfYOcwrDdL1VPqkhSya0kaSFtKxIXWL3C9xPU/imc1yXF2OKL8rh9lowL07B2p+TcakrEyu0peqWSKqFzazcd1W+tpR3gnI0iANjFxOzQRgYMDXfule7Nvoxn27BnBmNqjIixthOZzAQAeYuAA5uYuanr5oMg0DAyw1bK47rqcvloLZyJTZke3AkMtW89D0UlSTrg70WGEyMMxVmJ8FSHL/zSVMvbRk30YX3nPvVrxwZQU/85kj+PbJOSUpKWCMKcdxoE4TFwDw2sX8vdy6shAofc332i2KbIxzjlMzAaxGkkikW39++6Opls+3VUPxbF6gcIaaVvQ6LGvknfOyOcu0r7JUMZ3JYiEYx0gNg9kFdrOx7da7JbliXq6nD5D2lMXyznBc2geIpL+avj4x8Ly/QqVuVJ7VV0ri+fKkH/s2umtKLhbT6yz87EMJ6e9al5U+xtitlX6aeZCdwpwymL0+eScAzTI/uaBPh0qfXKW7mhf0XVuJIBhP46COFtAee66xW8pWtseFy2oyIN4GF/NWENEh86oFLptZk0qf1P9ihUWW8d63awCcA89dXm74uZdCiY4wcQFy65M6eWcWDktt5j45eWdnJE+C8RTcNnNbVWmH3FZEk5k10qtaCVaRdxoNDBu9NsxUCfqmfbGqyo9GYYzhj9+yH0f/8CF8+j134Cfu3oKfuW/bmvsJc7EDo+41v1NLbpB3bpM4F4iDsbVyOK/DrEgGp1ZjSqCoRSW2UVYbGGjdTIpl+pxzhBNpuLTu6ZOrsvkVRbGXq9afthBKIMtRc6UPkIK+dpOzL4YSMDBUNPkpdW0Ny4YsQko9VSVYDsVT+KtHzuOmTd6KY33KDWjPZDlOTPlxy2ZvxdepRq/DXGjksg56+ir9ZX9T4XccwIMaH0vHI7Ks9cg7te5pyck7tT95e6wmDPRYFac0ADg+5QeANVb6WuLOr/RFk7pnkdViMxuRWKeVvkgirUj/2gm3ba0JQD0shOIF9tUHRz1w2Ux45uIyvv9gY7P1lsOJup0Em00tlb5YKl2zcUfnGbmk26qfD8gb2xCMo6cByZPSr1jJYMFT3mABkDZlM74YXr9/uO7jqAWryYgH9gzhgT2ljcXH5OCz3nENgDSyASh0+1sIxguSQsp97Wbl/Tkx7S+4/5jOgXAl0pksArFUy12v1SB6ncX5GE1mwLn2VRivwwLOpWSHcBWfl4O+auMHRLW7rkqfxdh2691SKIH+HmvFthlXCXlnOJFGv9OCjR4bTAZWNVj++BOXsBxO4JM/ebsyaqkU4n0tTjBdXAwhksw0HPR5HRacmQ0q/xZV5W4e2VD2L+Oc1zZdfJ1zdTmCJ84twlSnFbLWlT41TbKNsLXIwfP4lB9OixG7hvTr38iXd65GkrhZxwCzFqzm9Vvpa1d5p5SNXGuv/uUjU3jLTSOKnLoai8FCYyaT0YB7tvfj6YvL4JzXXenJZjlWIkkMuNp/8wXkyc/V9PQlMzU5dwKd2dPXbhsDUW1aDCWwvYGgTyRLKhos9Nrx/OWVsr9fCMaRzGTbJjF3384BvDzlx+7h+q9PIiAIxAorfaWSvPmVvpMFQV9rK32BWAqcA31t0hpRCaXSJ6/jOTt9bY/dmxfMi89YVPqqVaxm5fuJilQt2MztF/QthhIVpZ1AeSOXzX0OmIwGjHjtmKwQLF9aDOFTz1zFO2/fVLVI4LCY0Oe0rKn0vTzpBwDcsqm34uOr0eswF7RqhOPNmzvcKlT9ZYyxA4yxdzDGflL86H1gncJXj07jz1+M4YG/nsBTF5bwQ7eO1WUukgv6tOrp09doYEu/syDoOzHlx41jHl2NVUT1hnMOXzTZNtlKm8mIRJst3s2Ac45osv2MXADR01f4XTo3H8IHv3oKj5yZV/08iyUG1d6/awAz/ljJWZVq8UWTyGR5x8g7RWAfViHvjNYR9Nnb1MK8HCEdXAQbRZynpRw8Oed4+PS8KiVJNXknAIx57VgIxsu6G4qeHr3lnWp56IZhfONX7l1TkauFUvP3FsrM5fXaLXKAxXFyOqD0umvRc9kIis19m1w7K+EuGtMkqktau0ULqauQ7WazXPmcqlWsRKWvHsd2u9nQdj19i6F4RRMXQKq0hhNpcJ6Tw+bP29vc5yjb08c5x4e++QocFiM+8IY9qo5ppISU/Nh1H3od5qoeEtXodVqQSGeVdVH0jLaTbF9rqq6AjLE/BvBx+ecBAH8J4K06H1fH8K2TswgmOD74xr14/ndfi4/88MG6nsdulr4w2sk79a30bRtwYCGYQDSZRjyVwStzQdzcYNalGqLSF06kkcrwls/oE9jMhnVp5JJIZ5HO8vas9FnXVvrEMPTlkDoTlnQmi5VIAoNF/Tr37RoEADx9qf6+PpHxr2SN3U7YzAYYmFp5Z6br5Z3CuKCdyJd3FvPNE7P4xc8dxedeuF71eYIxyYjHWSFwH+2VXPXmy7j0TcnSxk1tUunTAofFCLORFdj7V6r0ZbIcwVgap2cCePWuQViMhpZX+oRpRUf19Ml7mYhO0juvozCYX44kkM5yOC1GTPtiBb1+xcwF4nBZTXV5J9h1mM3cKEuqKn3SuZ2/Vuevh5sqBH2Pn13EM5eW8f7X71GtiNvS58Qrs8GCsQ0vT/lxy+behoOz3IB26XvRjuu61qhJe/0wgNcCmOecvwfATQA6Iz3dBP7uR2/BX9xvxy+N76jLtVOgl5GLXifwFtkhbXI1ilfmgkhlOG7epG9/ksduRjCWUsrx7ZKttJraz4WrGYiLcKXNYauQBvsWBijivFlVOYh3OZwE58BwUaVva78Do147nrlY/+gGkbkc7a1dFtQKGGNwWkzqRjbUU+nrsKAvFE/pYpLVCB67GRaTYY1ZSDyVwV8+fB4A8L2z1WdMhuIpuO2VTWpGvVIwV87MZXI1CsZy7nvdAGMMXkfOlTOWzCAQS5Ws9Im5sscmfYgkMzg45sGQ29rySp9YA9vFBK0SIrgTlT795J2FG3+RyLh1Sy+S6awyu64UM/4YNtbRzwfIRi5ttN5lshzL4WTVRKTYU4o9ZjqTRSyVUT6XTX12rESSJROEn3nuGka9dvzYXepnd7715hEshhJ44twiAEmifGkxjFs0aO/pVaS90mcfatN2FS1RE/TFOOdZAGl5YPsiABrZIOOpcnFUi9gkabUIhOIpOCzGumcSVUPYYl9bjuCEbOLSjEpfWjYIANA2s4Zs67SnTzg5tqO802WTBinny89WwnLQF1YX9C0q9tWFF0HGGO7bOYDnLq8gUyELXIkZuVekkzbFDqtRdaWvlsHsAJQeinbLfJejHTcHjDEMlRjQ/ulnr2HGH8Pd2/tw9LoPvirjRoIqpKsiWVHOzGV6NYqNbltDcsp2xJs3002MaCol7ROBxFNyYuimTV4Mu7UZqdEIvjZLmFZCCfrihfJOrb93vUWVPtHPd6fsKllp/MCML1aXcycA2C2mtgr6ViNSy0E1eaf4XISSJiKv2T158k5gbT/kteUInrm0jHfesammfelr9w5ho8eGz8oqBbHfvHVL4/tNpdInz+oLt6FsX2vUvPNHGGNeAP8GaTD7MQCH9Tyo9YjW7p2BWErJNurBlgHpi31tJYrjU35scNvqGlVRC+LvEaMi2kWisl7dO3OZ1/ZbJN22wmwkkMtyr6icsZeTYK69CN63awCheLrApKEWZgNxWE0GDPS0xzmsBqfVpFzgKxFLZmqenWQwMFkm3T6boHJks5J1vLsNNwdS0JcLLFbCCfzToUt4aN8QfudN+5DJckxcWKz4HMFYqmovuAh0ylX6pnxRjHWRtFPgdZjzggPpby8l7xTXqqcuLMFhMWLHYA+G26DSp/T0dYCRi8logNNiVBQbel1vpNEruZ4+Uem7c5sU9JXr6wvEUjg3H6x7TJXdbGirJNeiihl9QE52K66t4nMRozRE0DdZ1PP+pZemYDQwvPOOTTUdl8lowLvu3IynLy7j2nIEL0/6wRg0GQ8mkh+KvLMNk3laUzXo45z/Mufczzn/FwCvA/BTssyT0JCcO542i4Bf56DPbTOj32nB9ZUIjk/5m+KkKRq7ry1LQV+7SFRsZuP6rPQlRWN9+y2SLuXClOu/EcHeakRdX424CJaSbd+7cwBGA8OXj0zVdXwzvhhGvfaOahh3Wkwqh7PXXukD2k/uVI5oSh/reC0YctmwmNc39rePXUQ0lcHvvGkfDo56MOiy4rFXKgd9oXi6atBnMxsx6LKWrfQ1YzB7K/DYLUpPnzKiqWSlT3r/Li9FcGBUMjiTKn2t7+mzmgx1fT9bgdue680Wa4/W3zuDgcFjz81rmwvEYTYyxVmy3NiG5y4tI8uBV+8erOt12229E7LwYuOyYnqKEqrKbDv5dmHelB8sJ9NZ/PfRKbx271BdbVA/escmmAwMXzg8iZenfNg95NJEXu8tmr0pGbm0f0KkEdS6dx5kjL0VwK0AdjLG3q7vYa0/jAYGi8mAaEob9069K30AsKXfgZcn/bi+EsXNDc5LUYNS6ZPnA7aLRGW9GrmIDF87Bn0iQVBY6ZMuavlztiqxGEyAMZSsxvU5LfjpV23Fl16awqnpQM3HN+2P1WXz3UqcViOiaoazp2rv6QPac1hxKcKKSVb7bQ6G3FZM+aL4rf86jp//zyP4wuFJvPvOzdg51AODgeG1e4fw5IUlJNPl16tgPKXMSKvEqNdestIXT2WwEEy0jXOnlkiVPmmDKGSApd07c+fGQXkW57DbhnAivcbuvpmsRpLoc1o6JtnktpnXjGzQ2r0TkFRDIpifD8Qw7LbBZjZiWP4+leKpi0twWU11J7xtbWbkImThgz2VgzIhfxSfRzghvW+iQuZ1mOGymjCdlxB69JV5LIeTeFcNvXz5DLlteMP+DfjykSm8PNn4UHaB1y4qfTkJ8bqv9DHGPgXgUwB+CMBb5J/v1/m41iUODReBQDSlZDH0Ymu/E+fmQwCAm8a8ur4WkAv6rq9EYDIwRU7Qata9kUsbDmcvNgEAcj19KxUa8/NZDMXR77SU7T/4jYd2od9pxR9+43RFh7dSiEpfJ+G0rJ3PVIpYMgNbHUGfrQ2HFZdCVB7acXNw17Z+OC0mvHh1FZOrUTy4dwjve91u5fcP7RtGOJHGi1fLz9gLxtSZ1Iz2lg76phXnzs46v9XQmyfvXAjE4baZSs78zB93cVAOCoQhVCl31WbhiyTbpi1CDfmGXKF4GhaTAVaT9teb4mBeyJc39zlKyjs553jqwjLu2dEPc52+CXazEYl0tuZrh16orvRZC3v6QkWVPsYYtg068d3Tc3jxirTOfPHwJEa9drx6V31VUQD4sbs3wx9NIRBLaRb0WUwGuKwmpfUjnGi/+atao+avu5tzfoPuR0LAYTZqKO9MwmPX101z64Bk5mLQSF9dDSXoW42it42ylVazYV329OXcO9tvkSy2+wZyPX3BeBqpTLbqxXoxmKjoZOa2mfE7b9qL3/7KCfz3sWm843Z1vQrxVAbL4UTHOHcKnFZT1Tmi6UwWyUwWDnPt54Td3Lzkyd8/fhHHJn34zHvurPmxIZ2s47Xg+w5uxPcd3Fj29/fuHIDVZMDjZxdxf5kNWFCFvBOQZvV975UFZLMchrz5rKIy0o3yTq/Dglgqg3gqI41rKNPHbjMbFfneTfK1cVheSxaCCWwf7GnaMecjzbdtvwp1Odw2s2KYE06kdEv0eu1mxaVzPhjHQTmJvanXgReurE2QzEc4Zvwx/NL4jrpfU0hs4+lMycRBs1kKJeCymaqO23FV6ekDgA//wAH82hdfxo/+2wt4x22b8OylFfz263c3NMf5nu392DHoxOWlCG7ZrJ1poNcpBfypTBbxVLYtk3laoiZF8TxjjIK+JqDl3JZALKU4iOmFGIy5e9jVFImfyJ4m09m2mdEHSMPZk5ls3U6OnYoY1N2Oi2Sx8xsg9fSZjdJFp5qDIVB6MHsxb79lFLdu9uIj3z2HQEydbFTIwjqu0mc1Vh3OHk1llPvWSjN7XF68uoKj13x1PVbvGah6YrcYcf+uAXzvlYWC4cqCjDCpUSPv7LUjmc5iuahHdloMZu/CoM+TNzB8PhjHhgrOjV6HGR67WQl+hz0i6GthpS+a6qhKn8tmysk742nd9hm9Dgv80RQ45wWVvrE+B+aC8TVy6NMr0jr1mjr7+QDtzfsaRc1gdmDtyAYhd8//bA6OefG/v34/3n3nZvzXEcnARW1StByMMfzGQ7tx57Y+7NQwadLrsMAXTeV6RttwP6MlaoK+/4AU+J1njJ1kjJ1ijJ3U+8DWI3aLsWomXQ3xVAbxVFb3nj4xtqEZJi6AlEkSxb12ylaKzFilPpluJNpBPX2pTBaBWArb5Oq0GgfPhWBcyc6Xw2Bg+JO3HcBqNIlPPHVZ1bEJ84tO6+lzWKpX+kTPXz2Z62YOK55ajSGUSCNRhwFTO/f0qeG1+4Yx448p0vx8xN+mptInkhbFZi6Tq1FYTAYMqhy+3El4lbleKcwH4thYwZRiyG3DrZu9iiJFGFi0MugTPX2dgttuznPvzOi2IffKQZ8vmkIynVWCvk29dnAOzBbJmE8vZ7C139FQYsPWZrNJJWVL9e+s0cDgtBjXVPqKDXacVhP+7AdvxOd/9i78/Y/egqEG5lgL3nrTCL78C/cUKAsapVeevVksU+1W1AR9nwLwEwDeiFw/31v0PKj1isNs0kTeKfqY9A76dg71YNBlxYN7h3R9HYEhr4+vnS5cNrP0NVpvfX3hZBoWo6EtZ3GJzYH4LghL5l1DLunfVYI+aVBt9UofABwY9eCmMS+OXferOrYZv1QJGesweaeQX5aqEAkaMVuwmY2INSiTjiUz+J2vnqy4sc5kubKJE/OZaqGde/rU8Fp5vf7midk1vxNVFTVVTGVWX9GGeGo1hk29dk03Zu2CqJIthxNYCieU6l0p/uFdt+AjP3RQ+XeP1QSnxdgyB8+0nPjqpEqf2ya5d3LOEU6kdNuQex1mhBNpZSZffk8fUOhEmUhncHY1U7drp0CRd7bBviGbleSq1QazC1w2s2LgIoKlcm0e9+4cqCg5bzW9DjNWo0nl2tWOo3i0RM1ubZJz/k3O+VXO+XXxo/uRrUPsGhkZCBcqvY1cnFYTXvr9h/D6/Rt0fZ18PPLf1E4XLlueNn89EUmk29LEBZCykS6rSbkgiX6+XcOSLKRapW8lkkCWV59ZJNgx2IMry2FV953xxWBgpV3/2hm7xYgsB5KZ8oGZqATW0+epRU/fC1dX8KWXpvCdk3Nl7zMfjCMtS7FXVI7vyCfcxj19ahhy2/CWm0bwyaev4OxcsOB3QqLsVpEwLFfpm/JFu1LaCeQSqRcXQuC89GB2waY+x5rqRisHtIvPthNm9AncdhOyXBoAHk6kdevpE+/JuXnp+yBku5tKDBo/et2HZAZle2LV4lDkna1XCH3n1BzmAnGM71H3N/XYTAWVPqfF2FC/XivxOizwR1J5cyA75/tRD2qCvnOMsS8wxt7FGHu7+NH9yNYhDos2Ri6BJlX6WoH4m9qz0tf6xbuZRBKZtpR2CvL7QVZl586dQ1LQt1ol6BOzztRKUrYPOrEQTKhyt5zxxzHsttXt+tYqRGa6kgQzIuSd9fb0Nbj+vTIrbdpOz5QfozGdl7UXjq61EKyS2e4E/u9b98NjN+P9Xz6BVF4QH6pB3umymeG2mdZU+iZXo105rgHIJVKFNLbUYPZKtDLoE2qHdhl1pAbFkCuW0rWnT/gfnJ2TPlcRzEvrNCuY1ffUhWUYGXDPjv6GXtPeJvLOZDqLv370PPZucOFtN4+qeozLlnNyjiTSHS2J7HVYEEqkFfVPJ/8talCz67ADSAB4PWhkg644LCZNelqEpbSYQdJNiKCvnSp9wkK6HWQazSScaO+ZNi5bbrCvqOztGFRX6ROD2Wup9AHAlaXq1b4Zf7Tj+vmAPOOBCud5I83wWigdzsxKwd7JCkHfVF5lqlrwX4qwPMupk+WLfU4L/uwHb8Qrc0H8wxOXlNtFkkSNkQsAjPY6Cip9gWgKoXi6K507gbzgQAR9NVbrh91WLIRaE/StylLmdkqYVkNUnIPxlDw4Wz95JwCcnQvCaGAYkPtRjQaGsV5HQaXvqQtL2Ok1NHztE2NttPBxaIQvvTSJ6ytRfPBNe1VX63qsJiX5FWrzfUA1+mR/CHFd6OS/RQ0V/zrGmBHAMuf8A006nnWNQyMjFzFvphsrfSLz104XrvXa0xeItfdMm/wZT2JzP+iywuswK4Pay1FrpW/HoGQQc2Upoth9l2PGH8Mtm7SznG4Wqip98vpVj5GLTQP3zjNype/yUliWH689jum8DZwaQ59iQvH2Pu/V8ob9G/CDt4ziHw9dwutuGMaBUY/SA6um0gdIEs/891NsjrtxRh8AOC1GmAwMFxqq9CXAOW/6yCGxBrZTwrQauUpfWmd5p6j0BTHsshYEP2O9dqXX77un5vDKXBDv3NP4e9gOPX3hRBp///hF3L29D+M19Ci6bWalwh+Op9HToaZWQC6RIz7jbljbK1Gx0sc5zwC4tUnHsu5xWIyIaCnv7CDtvlqUSl87BX1ypS+xztw7r69E2rp3x2UzI5TIVfoYky7ufU5LVQMPYbag1oFwc78DRgPD5SqVvkyWY84f77gZfYA6tzkhT693ZEMyXf/ok1A8hesrUdyy2QvOcwFgMVOrMQy7rTAZWNXgvxTtXuGuhQ+9ZT/6nBb89KdfwnOXl5Xsvdqgb6zXXlDpE4YXY10q72SMKbP6rCZDzX3zQ24bkumsosZpJv4OlHeKDfhqJKHrDDXxOQbj6TXV2019DkytRnFlKYwP/PdJ3LTJi4e2NH4c7SDv/OTTV7AcTuJ33rSvpiREj9WkOP3qGYw3g96ioK9b1vZyqJF3HmeMfZMx9hPU06cvDosJyXQW6QpGCWoIxFIwMHT0F7EcSk9fG2UrrW2QsWs2kURaGjIsj0BoR9y2/EpfAl67GUYDQ7/TUtXAYzEUR5/TotqZ1GoyYlOvHVeWIhXvtxRKIJ3lHTejD8g3Hqgu76xvZENjFXPRj/OuOzYDAE6VkXhO+6Ses16npa6evlA83TXZYI/DjM/97F3w2E348U++iC8dngSgvq9l1GtHKJFWEo1i47S5vzuDPiAXIGz02Gqu1onKYCsknqty0NdO185qCHnnrF96v/STd+bek41Fsxc39Trgi6bwc/95BGYjwz/92K0wayDttrfYyCWeyuDfnrqCN9+4oeaxW658I5d4ZyfBehV5ZxSM5a5z3YqaHU0fgBUAD4J6+nRFnGzRBoOHQCwFt93c0T0n5XArlb72qWKuRyOXq8tScLNdwyGpWlPQ0xfOzafqc1qqG7mE1M0symfHYE/VSp8Y19CJQZ+6nj650lfHhbPRzLfo5xvfM4hhtxWnpv0l7zfti2FTn0MO/usI+hKdLWcqZvewC9/81fvwtptHcXExjB6rSXVvjzK2Qa72XVuJwmM3q64UdiJe+Ro0XMfcsWF5BEwrxjb4IknYzAble9wJCPt8MWJFLyMXp8UIs1E654srfaI/9cpyBB97582ard2tntM3F4gjkszgdTcM1/xYl82MWCqDdCara69lM8hV+mLosZqaLrtuNlU/Kc75e5pxIETO8S6WzDR00fRHU8qFqdu4e3s/XrN7sK4Lrl6IxbueQc/N5r2feQk7hnrwe2/e19DziKBvWztX+uxSNpJzjpVIEv1OacPV57Tg6HVfxccuBuM1D5PdPujEM5eWkc3ysgmXaXlz3InyTjU9fdFkGlaTAaY6nEltKp6/EmdmgxjosWLIbcONo96Slb5UJou5QAxjvXYshuJ1GbmE4qmOm7FYDafVhI++4ya8evcAAjVID5WxDf4Ypn1RfOXIFMb3NGdua6vIr/TVijKgPdBYpS+T5TVb5K9GUh1V5QOk4AKQAhRAP/WSkO0uhRJrPlcx5ufXHtyl6bnd6p6+pZBoYaj9PBZBXjiRRiie6uxKn/ydiKUyGHG0z75SL6pemRljY4yxrzPGFhljC4yxrzLGxppxcOsNpdLXYF9fIJbqShMXALhtSy/+42fubCu7e6upc4xczi+EKtrZq0UEfVv72zfoc9nMSGc5YqkMViOFlT5fNIVshd6xeit9iXR2jYV9PuJ3nVjpU5OZjiTrt1UXFYh6v0dnZoO4YcQNALhx1IMry5E1IzTm/HFkuSTZ6nNa63bv7EbpPGMMP3jLGH763m2qHyOSF186PIlf+cIx7B/14KPvvEmvQ2wLhBSw0mD2cgy6RKWv/qDvs89fw6v/8lDNva/+aLJAxtgJWEwG2M1GzAZkZ0UdK0oiUV5c6ds97MIT738N3vfQLk1fz2xkMBqYJo7t9aAEfTVe54Bcr6Uw2OnkoM9uMSp7uE6uWKpFzc750wC+CWAEwCiAb8m3ERoj+mAiKmZ9VcIfS8HTYYt7J6MMZ+8AeWcsmamrj6mYK0thjHhsbS0VEtXyUDwtBX09IuizIpPlij19Mdksx1IdQZ+QulaSeM74YvA6zG0937AcaoIyaXZjfedEI/LORDqDiwsh7JeDvoNjHsnMpSjBIZwmx3rt6HdasByuz8ilW3r6GqXfaYHNbMDj5xZxw0Y3/vNn7uxqaSeQCw421qE2sZmN6HWYG+rpu7AQxow/piTe1LIaTbaV67Va3HaTIu/UM7gQFZ9SFdztgz2ay/4YY9Js0hLrXTqTraniXg9L8jlYV9Anfw5LYSmJ1unBkvhedHLwqhY1Qd8g5/zTnPO0/PMZAOq9XQnVOFT0zKgh2MWVvnakk+Sd0WSmqomJGq4uR9q6nw/IZSP90RR80ST65YVd/LdcP9dqNIl0ltcsIc4f21COWX+sI6t8AOAwV1ciRBLpuoeWq5GPluPiQhjpLFeCvgOjHgBrzVxyIwUc6HNaEIqnkazBdTedySKazKDHSusrIG1c92xw46YxD/7zvXeti+uOkHdu8NT3PR522zAfqH8N9sumOaKHVS2+SLKjnDsFbpsZi3JVSs9NeaOfaz3YLcaSSf5/feoKHvibiTVKBS1ZCidgNLC6WoGKZbedHiyJCng39WqXQ03Qt8wY+3HGmFH++XFIxi6Exoigr+FKXzTZtT197YjN1BlGLtk8qWO9tvgAwDnHleVIW/fzATnTn8nVKDhHgbwTKD+YW5nRV2MGtM9pgcdurlzp88c6cjA7oM7IJZrM1O1+Zmsg6SU2wPtHpGBv0GXFRo9tTdA37YvBwCQJlzgPfFH1lW9hVEOVvhxf+rm78dVfetW6CPgAKCqaWgezC4bcNiw2UOkToxdqlen7oin0deAYJ5fNBC5frvSsKPU6LGCs9nW/Edx5Lpj5TK1GsRpJ4hvHZ3R77eVQEgM9lroM/8TnMC96LTt8PeyVvxfdKNsvRk3Q9zMA3gFgHsAcgB+WbyM0Rsg7G9F4Z7O8q3v62hGT0QCTgbV9T19crkRmeW7jUA8rkSRC8XTbB33iQnR9Raq8FQd95WSuYkNWq5ELYww7Bp1lK32cc8z4OrfSp/SuVlifwmUGoquhEWODV2aD6LGasCVvbuSBUQ9OTRdV+laj2Oixw2w0YKCn8nlQCiEJ7nQ5k5bYLca6jHs6lbu39eG+nQPYPVyf0mHYZW2opy8oV/rKjSQpRTqTRSCW6riePiCXvAP0rSiN7xnED9061lS/AI/dXLLNQNz22eevg/P6E7SVWAon6pJ2ArlrqzJKo8ODJSHt7fS/Qw1Vz27O+STn/K2c80HO+RDn/Ac459ebcXDrDS2MXMLJNLIcNQ+NJRrDajK0faUv/7yqx6peoDh3DrZ30Cd6i8Tx5rt3AuUrPPVW+gCp96NcpS8QSyGSzHSs82OlHhRBNKmBvLOuSl8Q+za6CrLWB2Uzl1Depkoa1yC9/33y+VCL3FnIrdwU9K1bdg278LmfvauuWZSAVCFcCiXqnseryDtnghXNqEo9piN7+vIkd/WuLWp4040b8dc/0lwTIrfdrATx+Yj5sufmQzg2Wdlpul6WQgkM9jQW9M0H9e+1bAZiBNh6SOaVDfoYY39U4ecPm3mQ6wVxEYkm65d3iuZfqvQ1F5vZqFTS2pX8CnI9BhaCK3JQ086D2YHcxvz6itTHpVre2UCD+47BHiyGEgWBhqCTnTsFDkvloC+SyCijZ2ql3mHF2SzH2bmgIu0UHBiT/n16JqjcNuWLYqxXqgZWOw9KIaRY1NNH1MvBMS+yHPji4cm6Hh+IpeCwGBFKpJUe1Wr45HO8I3v67NI63mM1dd3sYbfNjECpoC+ewp3b+uCymvDZ5/WpsSyFGqj0yeufUunr8GCJKn0SkRI/APBeAB/U+bjWJVpU+sQCQkFfc7GZjW0v78zfrNdjVS+4shyB2ciUzXO7ImRBSqVPlvPZzEY4LcaSsj7OOU7NBOCxmxWDnlrYXsHMRRxHp/b0AdJ7V9HIJVm/fXe9w4qvrUQQSWZww0Z3we03ymYuR6+vApCMlhaCCWySz9v+KjLfUoQT0vra6T0sROt4aN8Q7ts5gL98+HzNvX2ifeOubX0AChMalfDJyeDeDlQAiUpfva7A7YzbbkKwRE9fIJbCRo8Nb791FP97ah4rDSRpS5HNciw3IO+0maWWljl5lIarw5NgQva8Htb1skEf5/xvxA+ATwCwA3gPgC8B2N6k41tXCHlTpIGgzy8v7p2o3e9krGYDEjW4ALaCAnln0UY3FE+plpFcXYpgS7+z5uHAzcZqMsBsZMqMp96870Sv04LVErK+v3n0Ah45s4Afu2tzXa+5Q3Y0vbK8VuL58Ol59DrMyiy5TsRuqZzciCYydcve6u3pOzsXAoA17+tAjxV3b+/DZ567hkgijRmfdB4Iea3HbobRwOqr9K2DzQGhD4wx/Mnb9iORzuLD3z5b02NDiTQ4B+7Y1geTgeG0SgdPcY73duC+QCTvurEK47ZJ8s7ivr1gLAW3zYwfv3sLkpksvnxkWtPX9cdSSGd53fJOxhh6bCZl1l+nr4d9zu49x4qp2NPHGOtjjH0YwEkAJgC3cs4/yDlfbMrRrTMMBrlnphF5J1X6WoLNZESiCZW+x88u4IlzC3U9Nl82XJw5/OwL1/H2f3oOlxZDVZ/nagc4dwLShcltM4NzKYNnMeWWu36nZU1f4z9PXMY/HLqEd925CR94w566XnNznwNGA1tT6Qsn0njs7AK+7+DGphoFaI20PpU+z5PpLJKZLJx1unfWO6x4XjbFKNUr+cE37sVyOIlPPn0V03LQt0k2ezEYGHoda8+DSoigbz1khAn92D7Yg18a34FvnpjFMxeXVT9OtG8MuWzYPexS7eAp+pc7uaevG+30PXYz0rKrtoBzjmA8DY/djF3DLty9vQ9fOHy9IcftYkSwNtCAU6nLZoI4pE6vwuZGNnT/ul6pp++vALwEIATgRs75hzjn+nSUEgoOS2X5VDX8MWlxJyOX5mIza2fkshpJ4te++HLJAOwjD5/Dn32ntuywoKCnr2ijOyn3vX362WsVnyOT5bi+Em37fj6B2JwPFGU0+5yWAiOXL7w4iY88fA5vu3kEH/6BG+sexGsxGbClz7HGzOXRM/OIp7J4282jdT1vu1DJyEWcX446s6VqjGJKsRxOwGRgJYeC37K5F2/cvwGfeOoyTkz5ARQGh/1OS03SKSXo63A5E9F6fml8B7b2O/CH3ziturqdn9S9cdSDM7NBVe6OnVzpE2t4N9rpiyqmMG4BJKVXJsuVXsa33zqGqdUYrpZQj9SLCPrqrfQBub5mi9EAq6mzg77tA06YDAxb+ztjX9MIlVLO7wcwAuAPAMwyxoLyT4gxpk5ITtSMw9pY0EeVvtZgNWnT05dIZ/CLnz2Kb52YxcOn5wt+l0xncWUpgivLkbqGtorzymRgaza6s/K8na8em1aa/ksx44shmckqvWvtjrioFme4+5xWrMoS13gqg//33bO4d2c//vpHbmpYtrp72IXDV1cLrLi/cXwWo147btvc29Bztxq7xYhYmeRGOClMTurfANjqCPpWwgn0V5g39dtv2INYKoN/nLgEs5FhOG8UR5/TUpO8M5xIwWhgsJk7t1pLtAc2sxF/8H034OpyBE9eWFL1mPyk7oFRN1YjSWXtrvi4aBI2s0ExS+okxBre6dWkUohEVb6Zi3DzFL8Txl/LNfQeV0MYudXb0wfkgvFuqI5t6Xfi1IfegAOjnup37nAq9fQZOOd2zrmLc+7O+3Fxzju3KaXNcZhNDbt3Wk2GukwoiPqxmQ0Nu3dyzvH7Xz+Nw9dWYTMbcHa+sNJ3dTmCdJaDc+BMjYN5gVwlZrTXvqanb9Yfw66hHsRTWXzxpfKucqJXbdtAfTOqmo24MBUHff09kqyPc45HzswjGE/jl8d3aiK9/OUHdmAlksTHvncBgHSBfebSMt5680jHu89Vkp9H5UREvT19AGC3GCrOASzFcji5ppKbz86hHrzj9k2Ip7IY8doLgvr+ntqCvlA8DZfNVHclmCDyuX/3AGxmA164sqLq/vlJ3f2jwp22+rVgNZJCXwdW+YCcC3M3OuaKal5+glD8v0jc99cxT7QaSqWvgaAv97l0ftAHoCMTIvVA6co2w96ovDNKg9lbgeTe2Zi881+fuoL/PjqNX3/tLrx61yDOzRUW1M8v5ILAWgbzCkQyYazXXtDHxDnHrD+G+3cN4v5dA/jP564jVWaGlDKjr0PknSJb2l8U9PU6LEiks4gmM/ivl6awqc+Oe7b3a/KaB8e8+LG7NuM/nruGM7MBfOfkHDJZjrfdPKLJ87cSe4WRDcKAqpGMfL3yzv4qMqXffGg3rCaD4twpKNXbWYlwvH53UoIoxmoy4rYtvXjhyqqq+ytGbXYz9m1ww8DUJQB90WRHjmsAcpW+buyj9SjyzlzQJ/o2i1UqpYzH6mUpnIDNbGhoLROPpfWws6Cgr81waiDvpH6+5mMzG5FooNJ3ZjaAjzx8Dt9/cCPe99Au7N3oxtXlSIFk9OJCCEYDw0CPFSen6wj65Ofa1OsomNMXjKURTWYw4rXhZ+7dhvlgHP97aq7kc1xdjsBlNWGgpzM2EGUrffK/T0z58dzlFfzIbZs0rcJ94PV70euw4A//5zS+/vIM9m5wYe+GzhdI2MzGsnP0InKlr5EByvUEfSvhZNXzcYPHhn/9idvWGPT0Oa0IxFJlkxzFhBJpuLrQUIJoHXdv68e5+SD80erJB1Hpc9vNsFuM2DnUg9Oz1bttViPJjjRxAfKMXLowuBB/W2GlL13wO1Gh1VLeKWb0NaJYcCkGO933uXQzFPS1GXazqWEjF6+9Mxf3TqZRI5dLi2FwDvzmQ7vAGMO+DS5kOXBxIde8fX4+hK39Dty62avatS2feDIDxqQ5caF4WglSxdDwEa8dr9k9iO0DTnzqmaslDQKuLkewbdDZMfI25cK5pqdP+ve/PnUFjAE/fNuYpq/rcZjxu2/eh2OTfhyf8uOtXVDlA6SgrFzvqhL0NbA5s1VwBy0F5xxL4URFeadgfM8QbtrkLbitTw4WK/Wx5hOKp7rSUIJoHXfv6AfnwItXq1f7ArEUbOZc+8aBEY+qa4E/muzYMU5ehxkDPZaOUZfUgqjmieoekNfTJ0s/TUYDeh3mhmbrFrMUSjRk4gLkgj1aDzsLCvraDKnS18jIhrSykBDNo1Ejl1BRdm+vPGj67Hwui3thIYQ9G1w4OObBleVIQXZQDdFkBg6zUdkgi4vIbF7QZzAwvOferTgxHcDTRVbiyXQW5+ZDHXXxFdnI/qJKkNjsP3lhCa/eNajLwPQfunUUd2yVjFveelN3BH2Su3C6ZEJAJKscDfRGVJsDWEw4kUYyna278jwgBrSr3FCFE+mulJkRrePgmEd1X1+gqH3jwKgHi6EEFoOVzVxWI0n0dagCyGw04PnffS3efmtnOx+XQqwl+QPai3v6AClJuaKlvDNU/2B2QTcZuawnKOhrMxod2RCIJkne2QKsZgMSDVT6cvO/pM9uc58DdrMR5+TB07FkBtdXo9g97MKNY14A6hr484mmMrBbjGsaw+fk4eUjHsnV8Edu34RtA078UZGV+D9NXMJSKIEf6KCxAyJb2ucsvMDl9/i9845Nurw2Ywwff9et+ORP3o6xol6yTsVuMSLLgWQJOaRwlG1EhlWrvFNIntRU+kqR65dRW+lL0yaH0JRa+vqKlTy7h10AgEtL5e38U5ksgvF0x/b0AVLg1ynqklowGw1wWIyFPX3y/+evo/09Vm2NXFSqIyrhop6+jqQlQR9j7EcYY2cYY1nG2O2tOIZ2xW42KS549RCIkZFLK7CZjEhmsnUPUA3FUzDlWcEbDQy7h3twTq70XV6S5J97hl24UXZtO1VjX18sKQV9oioi+vpm/HGYjUy5CNjMRvzZDxzAtZUo/vHQJQBSlfEfD13C224ewQN7h+r6G1uBq5yRi/zvPqcFD+0b1u31N3hseOgG/Z6/2QhZWbxEX59QKNQ7pw+oPegTo0eqGbmUo7/ou1CNcJwqfYT2qO3rK76+bx2QkknCYKsUwvylU3v6uh2P3VzY0xeTzKJMeU7StRpOVSKVyWI1ktSg0kc9fZ1Iqyp9pwG8HcBTLXr9tsVpNSKayqgauFpMKpNFJJmBl4K+piM2w/WauZSygt+7wY1z8yFwznFeHt+wa9iFPqcFo147TtZa6Uum4TCb0C9XvUTmcNYfw0aPvcDI5FU7B/D2W0bxL09exvn5EP7Pf5+Ey2bGH33/DXX9fa3igT2D+IXXbMfeDa6C24UZzTvv2ASLiQQParHL53mpwCySyBTcpx5slvJGMaUQwVq98k5RAa6p0teF1vFEa1Hb1+ePpuDJU/KMeOywmAy4VjHoE7P9KOhrR9w2c+GcvvjaxH1/j2XNbN16EWudVvJO6unrLFqy2+Gcn+Wcn2/Fa7c7dosRnAOJdO1SQWWGD8k7m46o0NUr8QzFU2tcAfdudGE1ksRSOIELCyFYjAZs7ZcyuwfH1DXw5xNNFso783v6Rry2Nff/ve/bB4fFhHd+4nkcn/Ljj99yQ90VlVbR32PF775pX0HWFJCkl99732vw/tftbtGRdSZ2i/Q+lgr6osk07GZjQ8PtKxnFlGKpQXmn126GgakL+hLpDJKZLFX6CM0RfX3PX67c1xcsqvQZDAxb+x24uhwt+xhxbnfqnL5ux203IRjLqbsCsdSaNabPaYU/lkJapctwJZQZfY0aucjBXiPGXUTzoRR3myHsziN1SDyFjIPknc1Hkb3VWekLJ9bO/xIW/+fmQji/EMKOoR4leLlxzIPrK1FEUuorwrFkBg6LET1WEywmA5blxvC5QBwjnrVGJgM9Vvzem/fCH03hwb1DXWNGIuh1WtYEg0Rl7GbpHC1lNhVOZBreAAh5p1qlg8h+1ytdMxiYbJJQPejL9d3SJofQllxfX+Wgzx9LrVHybO134tpK+UqfT6709TppX9COuG3F8s7UGjO+gR4LOAd80drM20qhxWB2IE/eSUFfR6Hbp8UYewzAhhK/+n3O+TdqeJ6fB/DzADA8PIyJiQltDlBDwuGwZsc1OS19qZ946lkMOmrbkF70SQHH9YtnMeG/qMnxEOq4OittCJ985nlscNYeSEzNS2Yq+edROCltfL/z7HGcvJ7Cnl6D8nu+LH3WZxcicKo89xZXY+izMTz55JPoMXGcuTSJx5+Yx1wghlRgseQ5PMg5fvGgFQcGwnjyySdr/ruI7uLiknSeP/fiEWw0xwrOmatTcRiy2YbWwrnpJDJZjscPTcCkomJ48nwCPWbg2afr7xSwIoXz12YwMVF5w70QkbLs01cvYSJxre7XI7RBy+tuOzDMknh2PoVvP3oIPZa15346yxFNZrC6MI2JiUXldmMsiWtLKTxx6BAMJcxOXpiS9hTnTx7F0gVKcmmBludeNBjHoi+3bs4uxzBgZwXPPz8nrbuPTDyLMVdjn+HT8h7z8pmXEbhS/3OlsxwPbjbBtHwRExOXGzomQj2Nnnu6BX2c84c0ep5PAPgEANx+++18fHxci6fVlImJCWh1XJGTc/j308dw8NY7sKeoD6ka2XMLwItH8Oq7b8fNRfOoCH2JnpoDTh7DTbfejn0bax/C/ZETT2PUa8f4eKGv0YePPI5Vower8QXcd3Anxsd3AgBuiabwV0cexXzSovrcMx2ZwP9v786D47ivO4F/3xw9J47BDEjwFEiQ4qGD1GVZkm1BpiIrjiJ7XTnscrzezWZVFSvlexN7nao9kq2y11lXNrtxbbxZ7zpr2bLjWLFil21JtmSvdUsUqYOHRBK8QRI35u45fvtHdw8GwMxgMNODaQy+nyoVgcYA0xR/mOnX7/3e27KxB8PDN2DTa7+CN6xhz43XofjYz3Hbvt0YvnVrxe9797L/NtSpgiOTwMvPYs+1+5C/8Pq8tffNMy8hijSGh9/Z8M8/6RnBP7x1BLfc9o66Kha+c/5lDGQTGB6+s+Hn3PLmsygUFYaHb6/5uNfOzwD/71e4Zf91GO6g5jyrlZ3vu04QGpzE9996Fp6NezB87eL75WPxLPDYE7hh79UYvm2wdHw0eBY/HnkNO/fdii19i7sEv/HkCeCN43jvgTtLFSnUHDvX3lOzb+DI1IXSzys+93Ns3xzF8PC+0mN8Jyfw1cPPYfue63H7jlhTz/fGkyeA14/jvrubXw938+JgxTW79njbx2GsGVeNzOqzyjvZyGXlWXv6Gp3VF8/k0F2hbGz3hi784vgYAKNzp6Un6MVV0SBOz9Rf42/N6QPMjeFJvTSuYUOFPX1EC9Vu5JJH2NfcRYT18+v9PRpPZBtu4mKJhnz1lXdmjddXlndSK+w1bxZW68Q5kzbW6MLSv8GoMTe1WonnVFJHwOtmwOdQ3X4PZjM5FM3O30Z55/zXmNKYJRs6eI7Fs+jye7ge1qh2jWz4ZyJyHsBtAH4kIj9tx3k4UcAM+tINzOorNXJh0Lfi/B7rYrXRRi6VW8HvGugqzURbmPm9blMPTs8uJ+jLl9ZXNGTM/bkwbQz13dSC4eTUeZZq5BLUmtzTZ/38Ol//JhJ6082FomGtrkYu1p4+7mGhVghqbvg8rtIevIWs9/eFXTi3xcygr0qwOJnSOa7BwboDXigFJPQ8CkWFeDaP7gVN3ayRQ3Z08LRjMDutXu3q3vmIUmqzUsqnlFqvlHpPO87DiUqNXBoI+qxM38I7gdR6gSYytEopJLL5Rd07AWCP2cwl4HUvCsyG+sOYSCvodXZ6TZvD2QFjY/h4IosLU2amr4eZPlpawHx9SldY50m9gJBNmb56Z/WNJbJNd6HrC2mYTi3dGS/BRi7UQiJGU6FqNyCqNWpb3+1DwOuu2sFzOpVjExcHswK82XSu9Bqz8N+4N6hB6uwyvJSxePOvmbR6sbzTYZoJHqxWv820TKfGRJc576tcOldAoagqDjndvcHI7l29Pjxvjh4AbI4EoIBSiWYtuUIRuYIqlXf2hTRk80W8dSWObr+nYsBJtFApKKtwUyqZzZduWjXKv4ygL5MrIJ7Jl+6CN8q64TE6k6n5uHjGKu/k7wq1RiSoYarKe0gp07cgIBARo9S/SnnnZFJHhOMaHMu6ST+bzpf+jRfeuHe7BH1BDeM2BH3jCWb61jIGfQ5j3SlPNVje2csZfW3RTM19rVbw22NhaG4Xrl6/uKnPpoiR+bOydbVY66lU3mne6Xv9wgw2srST6jSXiVucFUtm87aMbACATB2vf9YNlliTFzBD/WEAwIkriZqPS2RZ3kmt1RfSMFmlvLPWSKZtsVDV8s6pFIM+J7P2782kc6XRDZX290fDGiYTNmX6GPStWQz6HCZYmoPVSHmnzv18bRLU3PB7XQ3V3NfKIGgeF/7mn9+Ejx/Yuehrm3uNTm3np5cO+qzMjLXnygpST1xJMOijuvk8lff0KWW0k7caUTWqtKe5jkzfuPm71uhgdosV9J0cqx30xbN5+DwuaB6+bVJrREJLZ/oqbd8YjIVwdjJVsUR5Msk9fU5WKu/M5DBb49/YmCfa3J6+tF5APJtn0LeG8d3LYUrlnQ0MZx+dyWBdF/dmtYOIlJqjLNfsEnuF7tq1rmIr7oEePwTA+boyfcZzWBflMbMctaiAjezcSXVyuQQBr3tRd029UES+qGzL9NUT9Fm/a9Emu3dGQhqiIW3poK9KsyUiu/QFvVUHcNfavrEtGkK+qHBhwQ3AXKGIeCbPTJ+D9QTm9vRZmb5KN++j4cauL8pZN8q4p2/tYtDnMJrHBa9bkFpm63+lFM5OpnBVdHFwQCvDGoOwXFZ5Z6WSjlo0jwu9PmmwvHPuImBDDzN9VL+A5l605ziZNdZXqMlMn7/GnsGFxmy8gBnqDy9d3pmp3GyJyC6RkIaZdOWmQrW2b2zrNzp4nlpQ4mmVhLKRi3PNZfqq7+kDjA6ezY5suBI3qyOY6VuzGPQ5UMDrXvbIhrFEFim9UJrZQysv2mD5RTMNIqIBwYXpyl3bylmZGSvTV17uw3ENtBzG69P8i9KkWZkQbDLTZ2XSrOx3LdZd62YzfQAwtC6Ek2OV90RZ4pkc9/NRS1mvy9Ppxdm+Wts3SrP6FgR91vgHZvqcq8vvgYiZ6UtXvwEcDfkwk84ht0SX4VrOTRrXCpv5nr9mMehzoJDPU7qIqtfZCeOXmZm+9mm0/KJWI5elxAKyqKSnkpQ+P+jze93oMi9guaePlsPvdS0q77TWV7PdO7v9XnhcUtfe2ImEjqDmbno2IGBk+iaTes3uu8ZYFQZ91DpWcFZpX99MOofeQOXgLRbWEPZ5FgV91nrmnj7ncrkEYZ+n1MjFJZWbRfWFq6+Nep0aT8IlwFZeJ65ZDPocKKC5l13eeboU9DHT1y7RsIaJhA6l1LK+L9HE0OdYwIXR6QwKxdrPaV2UW+VzwFyGhHv6aDkCmnvRnjurs2Wzc/pcLkHUnCG5lPFEtukmLpahdUs3c4ln8sz0UUtZwVmlmw/T6VzVTJ+IYDAWxMjE/KqPaTPTx67eztbt92I2k8NMOofugBcii/dtxsy1Md7Evr6R8SQ2R4LweZp7nabVi0GfAwU197IbuZyZSMLtEpbqtVEs5INeKCK+zH+7eCYHkcayJFG/IF9UuBKvPWMsnbMaucw9RzTsgwiwvptBH9Uv6PUs2tNnfd5sIxfA6MZZz4XNREK3pbQTAHZYHTxr7OubTecqztIksksp01dhbMNsOoeeGsHbYHTx2IbJpFEmykyfs3UHvJhN5zGbzpX2+C1U64ZAvUbGE9gWY2JgLWPQ50BBzbPskQ1nJlLY2OtnO/E2Kr0oL/NO3KyZQVg4fL0e0YDxPUt18FxY3gkYJUHru/zwurlmqH5+zb1oTp/VyKXZkQ2AFfStbKZvU28APo+rajOXmVQOF2cy2M4LJmohq+GKFaxZlFKYTlXP9AHGrL7zUyno+bnfTe7pWx16Ah5jZEMmX5rbt5A1W7fRsQ1KKYyMJRn0rXG82nOgYIXyqaWcmUiyiUubzQ1oX96LcjyTr3p3bymxgPErvFQHz/SC7p0A8LHhHfjz91/b0PPS2hXwuhYNT0/aOLg8FvZhPF5P0KcjZlOmz+USbO8PVy3vPHR+GgBw49aILc9HVEm1TF9KLyBfVOitEfQNRkMoKuDc1FyJ52RSN2fIspzPybr9XrORS/XAPmreVG50bMOVeBZJvYDt/bxOXMsY9DlQSJvfyOXcZAof+OrTuDJbvYTvDMc1tJ2VdVhuzX08k2u4QUTUb2T6lmrmUsr0lb3579vSi7v3rm/oeWntCngX35SamwNpQ9DXpWF8ib2xhaLCZNK+TB8A7FgXrtrB85WzUxABrt/Sa9vzES3k97oR1NyLSvisbp61Mn2DZgZnpGwNT6V0ZvlWAaO809zTV+UGcE/AC7dLGs70nTLXxfZYuOHzpNWPQZ8DBbT5IxueH5nEwbPTePzo5YqPn07pmE7lcFUf7+C0UynTVyPom0hkFwVozQx99nkE0ZBWV3mn5nbBw1JOalKlRi5Jq3tnk41cAGPunl4o1hzbMJXSUVSwNegb6g/h3FRqUWdSADh4dhq71nexkQu1XCSoLerQOGPO26vVkGXneuNi/vjleOnYVFLnjL5VwGjkksdspnrQ53IJIkGt4UzfiLnfcxszfWsarwAdKKi5SxdRwFzp3jMnJyo+/gzHNThCX6n8ovqduD/74RE88HcvzTsWzzY3/2tTJLBkpi+TK8wr7SRqVMDrWTRHNJXNQ8TIAjZrLmNe/ffIuvCxq5ELYIxtUGru4shSLCocOjuFG1jaSSugL6RhMrUw02d8Xmlot6Xb78WWvgCOjs6Wjk2mcsz0rQLdAQ8S2TymUrWb9cTCjQ9oHxlPwOdxYQMbt61pDPocKKjNv6iyhm8/d3ICxQqt+c9MclyDE/g8bnT5PTVflC9OZxZ1WEtk8g0NZrds6g3g/FSq5mNSet6WJhtEAc2FdK4wr/wykS0gpHkqthpfrlLQV2NfnxUQ2l3eCSwe23BqPInZTB43bO217bmIqomEFmf6Zs3yzmpz+ix7BrpxpCzom0rq7Ny5Clhlu3q+WHEwu6UvpNU1w7SSU2YTl0YaxlHnYNDnQEHNDb1QRK5gdOGysjgTSX1e6YbljBlEbO1jpq/doqHad+ImUzqSegHxzFx3tmbKOwEj6Ls4na65ByqlM9NH9gh43SgUFQply83OmwqxLuMidazGxc1c0GffBe22WAgiWNTB8+DZKQDAjQz6aAX0Bb2LM31meWetLBAA7N3YjZHxZGmPLff0rQ7lJZ21srnRsK/hkQ0j4+zcSQz6HMm6eLKab1yYSpcuOCqVeJ6ZTGF9t48X9Q4QDftq3omz7uBemplryhNvNtMXCSCTK9YMNtN6wZbSOyKrE2C2rMIzqRdsmdEH1Jvp0+c91g5+rxubI4FFzVxeOTuNbr+HDRBoRRiZvvkjG6ZLmb4lgr4N3VAKOH4pjlyhiHgmz6BvFSgP9Gp18o6GGtvTlysUcXYyxaCPGPQ5kdUBL60XUCwqXJzO4JbBPgxGg3j25Piix5+ZSLK00yFqvSgXi6r05j1qBn2ZXAF6odh0pg+oPbYhpRdY3km2sG4u6WWpvmQ2b0sTF8BoZOGS2l1wr8Qz8Lik4VEn1ezoDy/K9L1ydgr7t0ZYFkUroi+oIZHNz5u3N5POweOSJV/D927sBgAcGZ0tjX3oYyMXxysv6azVoTUa0hDP5pHNL2+k1/mpNPJFhe39vHG11jHocyDr4imp5zGeyEIvFLGxN4DbhmJ4/tQk8oX5g5HPTKQwyCYujhAN+6q2VI5n8iiYezKtTF/c7FBYq45/KZsiZtBXo5lLKldAwIZ2+kTWhee8TF82b8u4BgBwuwR9odoD2g+emcI1G7ttD8SG+sM4NZYo7Z1OZPM4fjmOGziqgVZIxNyDN11W4jmdyqE36F1yz+ym3gC6/R4cuThbyhZGuKfP8eZl+qoMZwfmBrQvt8TzlLlPmZk+YtDnQFYZXlov4Lx5Ib+pN4A7dkQRz+bx+sW5jdopPY8r8SwzfQ4RC2uYTOoVG+6U79MYLQV9xhtzuImgb3PECPhrNXNJ6/l5M/qIGmW9PpVn+lJ6ASEbM8mxsFY16Etm83jl7DRu3xGz7fksQ+vCyOaLpREor56bhlLAjVexcyetDKvxSvn7xWw6V3Ovl0VEsGdDN46WZfpY3ul8PXWWd/bVGND+p//4Gv7ke68uSgoAcx2JtzPoW/MY9DmQdcc8pRdw0Qr6IgG8fXsUAPBMWYknxzU4S19IQ1HN7cEoV3537tKs8e9qZfq6fI2X4PQEvOjyeVjeSSvCXwr65o4Z5Z32ZZL7u3wYq1Le+cLpSeSLCncM2R/03bg1ApcAn/n7Q4hncqUmLvs399r+XESVWEFa+fvFxZk0+uvcv7p3YzeOXYqXbpow6HO+8oC+Vnmn1biq0v79J4+N4TsvncOnvnt4UeB3ajyJ3qCXWV9i0OdEwbLyTutCflMkgFjYh90DXXjmxFwzl1LQx8HsjmCVX1Rq5mI1cfG4pJTpS2TNoK+JTB+w9Kw+zukju5QyfWXXFUk9j5CN5cOxsK9qI5dnToxDc7twUwuyb7sGuvBXH7oBr5ydxof/9nn88s1xDPWHluyaSGQXK5tjlWcWiwrHL8WxZ0N3Xd+/Z0M3UnoBh85Oz/t55FwhzQ2rUn2p7p3A4iZXSimMJ7LY0hfAPx2+iE8vCPxGxti5kwzc5ONAVkYmrRdwYTqNLr+nlPK/bSiKbz1/Ftl8AT6PG2cmzHENzPQ5Qsx8gx1P6Ni5fv7XrHKdHevCZXv6jDf2Zrp3AtasPmb6qPUCpT19ZeWd2ULpZpUdrPJOpdSifUxPn5jAjVf1tuwmxn3Xb0TA68YfPnQQer6I375pc0ueh6iSiNl4xXq/OD+VRkovYPdAV13fv9cMDp82O3338oaF44kIugNepLIF+DzVczH9XWbQt+CmclIvIJsv4vduvQpFBXzpJ8cgAnzld/bD7RKMjCdxRwvK4Wn1YabPgaw75smskemzujMCwO1DMWTzRTxx5AoAY1xDX0irWRJAK6eU6avQzMXamL93YzcuzRpB32ym9Zk+pRTSbORCNlnYyEUphaSeR9jG8s5Y2IdsvljKhFsmkzqOjM62pLSz3IE96/G//8Ut6AtpuOeagZY+F1E5qxzTqgw5esnYw7+7zkzfzvVheFyCo6OzCGruUjk2OVtPwIvugKdms56Q5kbA68bYgkyflfmLhX34w+Eh/PG9u/CDQxfx2b8/jNlMDpdmM9jez0wfMdPnSNYd7HTOyPRtjswFfbcNRbGpN4AHv3UQjx5ej7OTaQ5ld5BouPpG68lkDprbhaH+ML5/8ALSeqGse2fzmb54Jo+ZdG7RDYBMrgilwEwf2cK/oJFLJldEUcG27p1A+R1tfV4W/Fkze9GKJi4L3bEjhpf/9O4lOyYS2cnrdqHL7ynt6Ts2GocIcPX6+trt+zxu7FgXxrFLce7nW0W6/V64l+hGLCKIdWkYW5DpszJ/MfN182PDO6AU8OWfHi81eGN5JwHM9DlS+XD2hZm+sM+Dxz71Lnz6167G0ycmcHR0lk1cHCQS1CBSeaP1VFJHJOTFQLcfAHBpNlMq72x2xtl1m3oAAL96a/Ecx5RuBJYczk52CCxo5JI015ddc/qAsgHtCy5unjk5jrDPg32be2x7rloY8FE7RIJaqfvmsUuzGIyGlnVTxSrx5H6+1WNdl6+uZj394cXjbKzPo2X/3g/etQOfvedqvHjaaEbFoI8AZvocye9xQ8SY5RbP5rGxLOgDgJDPg48f2IkP37oVDz1/Fnde3d+mM6WF3C5BJKhVbOQymdIRCWrY0GMEfaMzacQzeQQ1Nzzu5u6/3Lo9iv4uHx49fAG/cf2GeV9LmVfnbORCdlg4nD1l1nnamemLVWlY8MzJCdy6ra/p3xciJ4uEtLlM36V43fv5LHs3duP7r1xgt8ZV5M/ef21pjm8t/V2+0ggGi9Xp2KqQsPzRu3dCRPC9l88z6CMAzPQ5ksslCHjdeOtKHMDc8O2FomEfPn5gJ/ZxcLCjRENaxfLOqaSOvpCGATPouzSTQSKTb3o/H2AEm/ddvwFPHhvDzIJxEemcdVHOoI+a5/fM39Nn7buzdU5fl9UQaS7ouzidxsh4ErcNRW17HiIn6gt6MZXSkdLzOD2RxO6B+vbzWaxMX4RNXFaNjb0BbKljq04s7Ku6p69SZvfBu3bgyc8Oc28nAWDQ51hBzYO3LicAYF55JzlfNKxVbOQymdIRKQv6RmcyiGdzTXfutNy/byP0QhE/fePSvONWpo9BH9nB5RL4va5S0HdyzHidqueCpV59Zpl0+ay+p08YpcvsQkedLhLSMJXM4c3LCSgF7N6wvEzfnlLQx0xfp+nv8mEqlUOubCTDeCKLSNALLysgaAlcIQ4V1Ny4Yt69qZbpI2eKhn0VM33TqRz6ghqCmgc9Aa9RvmtTpg8A9m/pxda+IP7p8MV5x+f29LGam+wR8Lqhm6VIh85Nw+dxYdcyS9Bq8bhd6Atq8zJ9z5ycQDSkYdd6+56HyIn6gkZ557FRo3PnnmVm+iIhDZ84sBPv27+xFadHbWSVcJZfY4wnsqWSeKJaGPQ5lJWV0TwuxEL8ZV5NYiFtUSOXQlFhOqWXym029PgxOpPBbCZvW6ZPRHD/vo14+sT4vPKPDMs7yWYBr7vUyOXwuWlcu6nH9rvM5QPaC0WFX7w5hnfsjMG1RIc7otUuEtKQzhVw6Nw0Qpp7Xgfven3q167GDVsjLTg7aier2Uv5e/xEQmfQR3Vh0OdQ1gX6pt4AL3JWmWjYh5l0Dnp+rvxiNp1DUaG0sX6gx4/LZvfOLhvnm92/fyOKCvjRq3PZPpZ3kt38mht6QSFXKOL1izPYt7nX9ueIdc1l+g6dm8JkUseBPettfx4ip7H2Zj17agK7Brp4DUAl1liGsUSmdGw8kS0dJ6qFQZ9DWZ3wuJ9v9bHesK2W24Cxn6/8awPdRqbPzvJOALh6fRd2D3Th0cOLgz527yS7BDU3sgXgzctxZHJF7Nti/wiFWNiHcbOE6YmjV+BxCTsV05pg7cU7M5Gqeyg7rQ39pc7G5eWdOmJh7t+kpTHoc6jyTB+tLtaLb/l+pCmz3NN6Mx/o8WM8kcVMKmdr0AcAv7lvIw6enca5SWMoa1q3v6U+rW1GeafC4XMzAIAbtthfRhYrm0f1s6OXcctgH3oC7EZIna+8C+MeG/fK0urXX8r0Ga+NmVwBiWye5Z1UFwZ9DlUK+tjEZdWJhhdvtLZmLllv5tasPr1QtG1Pn+W91xlz+n751hiAskwfWzaTTfxeI9N36NwUIkEvtvTZ/zoVC/uQ0gs4fimONy8ncGDPOtufg8iJ+kJz7wnM9FE5v9eNLr+ntKfP+pOZPqoHgz6HCpr7vBYOZifni5qBXfnYhumUMTuv12zkMtAz9+9qd6ZvMBpEf5cPL45MAgDSeh4igN/LX3eyR3mmb9+WXojYv+fIuoj5zovnAAB3cz8frRHloxbs7IpLnaG/bFafVQ3BTB/Vg1eBDhX0srxztYpWqLlfuKfPyvQBsD3TJyJ422AfXjw9BcDI9AW87pZcmNPaFNDcmNUV3rwSb0kTF2CuYcEjr5zH9v4QBmOhljwPkdP0BLwQMd7/u21+f6DVL9blK5V3WvueGfRRPRj0OZRV3tlIq2Zqr26/B30hDSeuJErHppI6fB5XqcRyYF7QZ/9eu5sHI7gwncaF6TRSuQI7d5KtgpobszqgFLB/a29LnsNqWDCVyjHLR2uKx+1CT8CLPcscyk5rQ3/X3DibUqaP3TupDuzs4FDXburBNRu75wUHtDqICHYPdOHY5Xjp2GRSR19IK2XbunwehDQ3knrB1pENllsG+wAAL52eREYvsHMn2cpftj+0ZZm+sjvXB3ZzPx+tLZ+5Zxd29IfbfRrkQP1hH35pBn0TZtAXDXFPHy2NQZ9D3XPNAO65ZqDdp0EN2j3QjW+/cBaFooLbJZhK6fP2aYgIBnr8ODmWtL28EwD2bOhG2OfBCyOTSOkFBL38VSf7WBnrrX3BeZ0G7RQ19/T1BLy46SoOmaa15SNvv6rdp0AO1d/lQzybRyZXwHhCR5ffM+9GHFE1LO8kaoHdA11I5wo4a45NmEzqiITmB3dWFrcV5Z1ul+DGqyJ48fQkUjlm+sheVtC3b0tvy57D63ZhoNuPA3vWwePmWxURETBX+j4Wz2IskS19TrQU3v4naoHd5l6MY6Oz2BYLYTqVW9SJdaDb+LwVQR8AvG0wgr94bAxKzc32IbKDdRNhfwuDPgD41r++tdQYiYiI5s/qG49n2cSF6sbbp0QtsHNdF1wCHL1k7OubTOmLyuA2RwLwuKQl5Z3A3L6+t64kOKOPbDUX9PW09Hm294c5kJ2IqEysLNM3nsiWSuGJlsJMH1ELBDQ3BmMhHBudRb5QxEw6N29PHwD8yzsGcev2Pmie1tx72belF5rbBb1QZHkn2Wp41zrcO+jF9S1q4kJERJVZmb7xRBbjCR23DzHTR/VpS6ZPRL4sIsdE5FUReUREettxHkSttGegG8cuxTGTzkEpLMr09QY13D4Ua9nz+71uXLfZyMRwZAPZaVNvAB/crcHLvXZERCvKyuxdnE5jJp1jeSfVrV3v2I8DuFYpdT2ANwF8vk3nQdQyuwe6cHYyhXNTaQBApA0tla0Sz6DGpD4REdFq53W70BfScGzU2D4S62J5J9WnLUGfUuoxpVTe/PQ5AJvbcR5ErbR7QzcA4PlTEwCASHDl9ya9bZvR6p7lnURERJ0hFtZwzOwZwEwf1csJtTm/D+DH7T4JIrvtHjA6eD5bCvpW/m7cTVv7oLldHNxKRETUIfq7fLgwbVQRMeijeolSqjU/WOQJAJWmi39BKfUD8zFfAHAzgA+oKiciIg8AeAAA1q9ff9PDDz/ckvNtRiKRQDgcbvdpkMMUlcLHnkhBAcgWgP9yZwDRgL33WepZexcSRcT8Ap9HbH1uWtv4ukftxPVH7eKEtfc3hzN4drQAAPjP7wpgXdAJORxqtfK1d9ddd72slLp5Od/fso0+Sqm7a31dRD4K4D4AB6oFfObP+RqArwHAzTffrIaHh+08TVs89dRTcOJ5Uftdc+wZvHxmCgDw3gN32l5mybVH7cK1R+3E9Uft4oS193TyCJ4dHQEA3Hf3u7hvf41odu21q3vnvQD+BMD9SqlUO86BaCVYJZ4Br5v76oiIiKhpVklnwOtmwEd1a1c++L8D6ALwuIgcEpH/0abzIGopq5lLO5q4EBERUeexZvWxcyctR1tuDyildrTjeYlW2h4z09eOcQ1ERETUeUpBH5u40DJw5ydRC11tBn0LB7MTERERNYJBHzWCQR9RC3X7vdixLozNkUC7T4WIiIg6gBXsMeij5eDuT6IW+9Yf3Ao/m7gQERGRDfqCGvpCGob6Q+0+FVpFGPQRtdi6bn+7T4GIiIg6hMsl+Pln7kTIx8t4qh9XCxERERHRKtIbZK8AWh7u6SMiIiIiIupgDPqIiIiIiIg6GIM+IiIiIiKiDsagj4iIiIiIqIMx6CMiIiIiIupgDPqIiIiIiIg6GIM+IiIiIiKiDsagj4iIiIiIqIMx6CMiIiIiIupgDPqIiIiIiIg6mCil2n0OdRORMQBn2n0eFcQAjLf7JGhN4tqjduHao3bi+qN24dqjdilfe1cppfqX882rKuhzKhF5SSl1c7vPg9Yerj1qF649aieuP2oXrj1ql2bXHss7iYiIiIiIOhiDPiIiIiIiog7GoM8eX2v3CdCaxbVH7cK1R+3E9UftwrVH7dLU2uOePiIiIiIiog7GTB8REREREVEHY9DXBBG5V0SOi8gJEflcu8+HOo+IfF1ErojI62XH+kTkcRF5y/wzUva1z5vr8biIvKc9Z02dQES2iMiTInJURN4QkU+Yx7n+qKVExC8iL4jIYXPt/QfzONcerQgRcYvIKyLyQ/Nzrj1qORE5LSKvicghEXnJPGbb2mPQ1yARcQP4awC/DmAvgA+JyN72nhV1oP8D4N4Fxz4H4GdKqZ0AfmZ+DnP9fRDANeb3fNVcp0SNyAP4jFJqD4C3A3jQXGNcf9RqWQDvVkrtA7AfwL0i8nZw7dHK+QSAo2Wfc+3RSrlLKbW/bDSDbWuPQV/j3gbghFLqlFJKB/AwgPe1+ZyowyilfglgcsHh9wH4hvnxNwC8v+z4w0qprFJqBMAJGOuUaNmUUqNKqYPmx3EYF0CbwPVHLaYMCfNTr/mfAtcerQAR2QzgNwD8bdlhrj1qF9vWHoO+xm0CcK7s8/PmMaJWW6+UGgWMC3MA68zjXJPUEiIyCOAGAM+D649WgFledwjAFQCPK6W49mil/CWAPwZQLDvGtUcrQQF4TEReFpEHzGO2rT2PzSe7lkiFY2yFSu3ENUm2E5EwgH8A8Eml1KxIpWVmPLTCMa4/aohSqgBgv4j0AnhERK6t8XCuPbKFiNwH4IpS6mURGa7nWyoc49qjRt2hlLooIusAPC4ix2o8dtlrj5m+xp0HsKXs880ALrbpXGhtuSwiGwDA/POKeZxrkmwlIl4YAd9DSqnvm4e5/mjFKKWmATwFY88K1x612h0A7heR0zC27bxbRL4Jrj1aAUqpi+afVwA8AqNc07a1x6CvcS8C2Cki20REg7GZ8tE2nxOtDY8C+Kj58UcB/KDs+AdFxCci2wDsBPBCG86POoAYKb3/BeCoUuorZV/i+qOWEpF+M8MHEQkAuBvAMXDtUYsppT6vlNqslBqEcV33c6XU74Frj1pMREIi0mV9DOAeAK/DxrXH8s4GKaXyIvJHAH4KwA3g60qpN9p8WtRhROTbAIYBxETkPIB/B+CLAL4rIv8KwFkAvw0ASqk3ROS7AI7A6Lz4oFkiRdSIOwB8BMBr5t4qAPi34Pqj1tsA4BtmJzoXgO8qpX4oIs+Ca4/ag6971GrrYZSyA0Z89i2l1E9E5EXYtPZEKZYeExERERERdSqWdxIREREREXUwBn1EREREREQdjEEfERERERFRB2PQR0RERERE1MEY9BEREREREXUwBn1EREREREQdjEEfERG1jYh8QUTeEJFXReSQiNzahnMYFpEfLuPxARH5hYjsM8/5kIhMisiI+fETIjIoImnz8yMi8nci4q3z5wdF5Ecicsz8f/PFGo/9vIicEJHjIvKesuNPiEik3r8TERF1NgZ9RETUFiJyG4D7ANyolLoewN0AzrX3rOry+wC+r5Q6rJTar5TaD+BRAP/G/Pxu83Enza9dB2AzgN9ZxnP8hVJqN4AbANwhIr++8AEishfABwFcA+BeAF81B5oDwP8F8LHl/9WIiKgTMegjIqJ22QBgXCmVBQCl1LhS6iIAiMhNZjbtZRH5qYhsMI/vMLNYh0XkoIgMieHLIvK6iLwmIr9rPnZYRJ4Ske+ZWbOHRETMr91rHvsVgA9YJyQid5Zl714Rka4K5/1hAD+o9y+plCoAeAHApjofn1JKPWl+rAM4CCNoXOh9AB5WSmWVUiMATgB4m/m1RwF8qN5zJCKizsagj4iI2uUxAFtE5E0R+aqI3AkAZhnkfwPwW0qpmwB8HcB/Mr/nIQB/rZTaB+B2AKMwgrb9APbByBZ+2QoSYWTKPglgL4DtMLJmfgD/E8BvAngngIGyc/osgAfNDN07AaTLT1hENADblVKn6/1Lms93K4CfmJ/vKgssF/7Xu+B7e83z/FmFH70J8zOj581jUEpNAfCJSLTe8yQios7lafcJEBHR2qSUSojITTCCq7sAfEdEPgfgJQDXAnjcTMy5AYyaWbdNSqlHzO/PAICIvAPAt82M2mUR+QWAWwDMAnhBKXXefNwhAIMAEgBGlFJvmce/CeAB87SeBvAVEXkIRgnn+QWnHQMwXedfcch8zp0AvqeUetU87+MwgtSaRMQD4NsA/kopdarSQyocU2UfXwGwEcBEnedLREQdikEfERG1jRmoPQXgKRF5DcBHAbwM4A2l1G3ljxWR7io/plLwY8mWfVzA3PueqvBYKKW+KCI/AvBeAM+JyN1KqWNlD0kD8Nd4vnInlVL7zazjUyJyv1LqURHZBeA7Vb5nWCk1bX78NQBvKaX+sspjzwPYUvb5ZgAXyz73Y0GmkoiI1iaWdxIRUVuYZY47yw7tB3AGwHEA/WajF4iIV0SuUUrNAjgvIu83j/tEJAjglwB+V0TcItIP4F0w9tBVcwzANhEZMj8v7X0TkSGl1GtKqS/ByDjuLv9Gs2zSbZZs1kUpNQrgcwA+b35+3GoAU+G/afM8/hxAD4zS1GoeBfBB8//DNhgZxRfM7xcYZaun6z1PIiLqXAz6iIioXcIAvmGONHgVxr67f282L/ktAF8SkcMADsHYvwcAHwHwcfPxz8AIbB4B8CqAwwB+DuCPlVKXqj2pWRb6AIAfmY1czpR9+ZNmQ5jDMLJkP67wIx4D8I5l/l3/EUBQRN651ANFZDOAL8D4/3HQ3Ov3B+bX7heR/2j+Pd4A8F0AR2DsF3zQzJwCwE0AnlNK5Zd5nkRE1IFEqYoVLkRERFSBiNwA4NNKqY+0+1yqEZH/CuBRpVSlBjBERLTGMNNHRES0DEqpVwA8WTYTz4leZ8BHREQWZvqIiIiIiIg6GDN9REREREREHYxBHxERERERUQdj0EdERERERNTBGPQRERERERF1MAZ9REREREREHez/A5nlP2rCvpkuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "\n",
    "df = pd.read_fwf('data/sub-102_ses-1_MELODIC/filtered_func_data.ica/report/t5.txt', header=None)\n",
    "df.columns = ['IC5']\n",
    "\n",
    "sig = df.to_numpy()\n",
    "sig = sig.flatten()\n",
    "n = len(sig)\n",
    "\n",
    "TR = 2.0\n",
    "time_vec = np.arange(0, TR*n, TR)\n",
    "plt.plot(time_vec, sig)\n",
    "plt.title(\"IC5 timecourse\")\n",
    "plt.xlabel(\"Seconds (TR=2.0)\")\n",
    "plt.ylabel(\"Normalized response\")\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the power spectral density and the magnitude spectrum.\n",
    "\n",
    "Compute the magnitude spectrum of x\n",
    "\n",
    "The power spectral density 𝑃𝑥𝑥 by Welch's average periodogram method, and then compute the magnitude spectrum of x."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "\n",
    "Fs = 1 / TR   # Sample per time unit\n",
    "# plt.psd(sig, Fs=Fs)\n",
    "plt.magnitude_spectrum(sig, Fs=Fs)\n",
    "plt.title(\"Magnitude spectrum of the IC5 timecourse\")\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Connectome example from Nilearn\n",
    "\n",
    "This example is adopted form https://nilearn.github.io/auto_examples/03_connectivity/plot_sphere_based_connectome.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract signals on spheres and plot a connectome\n",
    "\n",
    "\n",
    "This example shows how to extract signals from spherical regions. We show how to build spheres around user-defined coordinates, as well as centered on coordinates from the Power-264 atlas [1], and the Dosenbach-160 atlas [2].\n",
    "\n",
    "References\n",
    "\n",
    "[1] Power, Jonathan D., et al. “Functional network organization of the human brain.” Neuron 72.4 (2011): 665-678.\n",
    "\n",
    "[2] Dosenbach N.U., Nardos B., et al. “Prediction of individual brain maturity using fMRI.”, 2010, Science 329, 1358-1361.\n",
    "\n",
    "We estimate connectomes using two different methods: sparse inverse covariance (not shown) and **partial_correlation**, to recover the functional brain **networks structure**.\n",
    "\n",
    "We’ll start by extracting signals from Default Mode Network regions and computing a connectome from them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First subject functional nifti image (4D) is at: /Users/arvid/nilearn_data/development_fmri/development_fmri/sub-pixar123_task-pixar_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n"
     ]
    }
   ],
   "source": [
    "from nilearn import datasets\n",
    "dataset = datasets.fetch_development_fmri(n_subjects=1)\n",
    "\n",
    "# print basic information on the dataset\n",
    "print('First subject functional nifti image (4D) is at: %s' % dataset.func[0])  # 4D data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coordinates of Default Mode Network¶"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "dmn_coords = [(0, -52, 18), (-46, -68, 32), (46, -68, 32), (1, 50, -5)]\n",
    "labels = [\n",
    "    'Posterior Cingulate Cortex',\n",
    "    'Left Temporoparietal junction',\n",
    "    'Right Temporoparietal junction',\n",
    "    'Medial prefrontal cortex',\n",
    "    ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracts signal from sphere around DMN seeds\n",
    "\n",
    "We can compute the mean signal within spheres of a fixed radius around a sequence of (x, y, z) coordinates with the object nilearn.input_data.NiftiSpheresMasker. The resulting signal is then prepared by the masker object: Detrended, band-pass filtered and standardized to 1 variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Memory]0.0s, 0.0min    : Loading filter_and_extract...\n"
     ]
    }
   ],
   "source": [
    "from nilearn import input_data\n",
    "\n",
    "masker = input_data.NiftiSpheresMasker(\n",
    "    dmn_coords, radius=8,\n",
    "    detrend=True, standardize=True,\n",
    "    low_pass=0.1, high_pass=0.01, t_r=2,\n",
    "    memory='nilearn_cache', memory_level=1, verbose=2)\n",
    "\n",
    "# Additionally, we pass confound information to ensure our extracted\n",
    "# signal is cleaned from confounds.\n",
    "\n",
    "func_filename = dataset.func[0]\n",
    "confounds_filename = dataset.confounds[0]\n",
    "\n",
    "time_series = masker.fit_transform(func_filename,\n",
    "                                   confounds=[confounds_filename])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 5))\n",
    "\n",
    "for time_serie, label in zip(time_series.T, labels):\n",
    "    plt.plot(time_serie, label=label)\n",
    "\n",
    "\n",
    "plt.title('Default Mode Network Time Series')\n",
    "plt.xlabel('Scan number')\n",
    "plt.ylabel('Normalized signal')\n",
    "plt.legend()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compute partial correlation matrix\n",
    "\n",
    "Using object nilearn.connectome.ConnectivityMeasure: Its default covariance estimator is Ledoit-Wolf, allowing to obtain accurate partial correlations.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nilearn.connectome import ConnectivityMeasure\n",
    "connectivity_measure = ConnectivityMeasure(kind='partial correlation')\n",
    "partial_correlation_matrix = connectivity_measure.fit_transform([time_series])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "partial_correlation_matrix:\n",
      "[[ 1.          0.53582652  0.38606041 -0.1111872 ]\n",
      " [ 0.53582652  1.          0.17332681  0.12426972]\n",
      " [ 0.38606041  0.17332681  1.          0.39958164]\n",
      " [-0.1111872   0.12426972  0.39958164  1.        ]]\n"
     ]
    }
   ],
   "source": [
    "print(f'partial_correlation_matrix:\\n{partial_correlation_matrix}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tri_lower_no_diag:\n",
      "[[ 0.          0.          0.          0.        ]\n",
      " [ 0.53582652  0.          0.          0.        ]\n",
      " [ 0.38606041  0.17332681  0.          0.        ]\n",
      " [-0.1111872   0.12426972  0.39958164  0.        ]]\n"
     ]
    }
   ],
   "source": [
    "tri_lower_no_diag = np.tril(partial_correlation_matrix, k=-1)\n",
    "print(f'tri_lower_no_diag:\\n{tri_lower_no_diag}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.54, 0.39, 0.17, -0.11, 0.12, 0.4]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "list(tri_lower_no_diag[np.tril_indices(tri_lower_no_diag.shape[0], k = -1)].round(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display connectome\n",
    "We display the graph of connections with `nilearn.plotting.plot_connectome`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting.plot_connectome(partial_correlation_matrix, dmn_coords,\n",
    "                         title=\"Default Mode Network Connectivity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display connectome with hemispheric projections. Notice (0, -52, 18) is included in both hemispheres since x == 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 633.6x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting.plot_connectome(partial_correlation_matrix, dmn_coords,\n",
    "                         title=\"Connectivity projected on hemispheres\",\n",
    "                         display_mode='lyrz')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3D visualization in a web browser\n",
    "\n",
    "An alternative to `nilearn.plotting.plot_connectome` is to use `nilearn.plotting.view_connectome`, which gives more interactive visualizations in a web browser. See [3D Plots of connectomes](https://nilearn.github.io/plotting/index.html#interactive-connectome-plotting) for more details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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t.cmp(e)&lt;0?t:e},a.prototype._init=function(t,e,r){if(&quot;number&quot;==typeof t)return this._initNumber(t,e,r);if(&quot;object&quot;==typeof t)return this._initArray(t,e,r);&quot;hex&quot;===e&amp;&amp;(e=16),n(e===(0|e)&amp;&amp;e&gt;=2&amp;&amp;e&lt;=36);var i=0;&quot;-&quot;===(t=t.toString().replace(/\\s+/g,&quot;&quot;))[0]&amp;&amp;i++,16===e?this._parseHex(t,i):this._parseBase(t,e,i),&quot;-&quot;===t[0]&amp;&amp;(this.negative=1),this.strip(),&quot;le&quot;===r&amp;&amp;this._initArray(this.toArray(),e,r)},a.prototype._initNumber=function(t,e,r){t&lt;0&amp;&amp;(this.negative=1,t=-t),t&lt;67108864?(this.words=[67108863&amp;t],this.length=1):t&lt;4503599627370496?(this.words=[67108863&amp;t,t/67108864&amp;67108863],this.length=2):(n(t&lt;9007199254740992),this.words=[67108863&amp;t,t/67108864&amp;67108863,1],this.length=3),&quot;le&quot;===r&amp;&amp;this._initArray(this.toArray(),e,r)},a.prototype._initArray=function(t,e,r){if(n(&quot;number&quot;==typeof t.length),t.length&lt;=0)return this.words=[0],this.length=1,this;this.length=Math.ceil(t.length/3),this.words=new Array(this.length);for(var i=0;i&lt;this.length;i++)this.words[i]=0;var a,o,s=0;if(&quot;be&quot;===r)for(i=t.length-1,a=0;i&gt;=0;i-=3)o=t[i]|t[i-1]&lt;&lt;8|t[i-2]&lt;&lt;16,this.words[a]|=o&lt;&lt;s&amp;67108863,this.words[a+1]=o&gt;&gt;&gt;26-s&amp;67108863,(s+=24)&gt;=26&amp;&amp;(s-=26,a++);else if(&quot;le&quot;===r)for(i=0,a=0;i&lt;t.length;i+=3)o=t[i]|t[i+1]&lt;&lt;8|t[i+2]&lt;&lt;16,this.words[a]|=o&lt;&lt;s&amp;67108863,this.words[a+1]=o&gt;&gt;&gt;26-s&amp;67108863,(s+=24)&gt;=26&amp;&amp;(s-=26,a++);return this.strip()},a.prototype._parseHex=function(t,e){this.length=Math.ceil((t.length-e)/6),this.words=new Array(this.length);for(var r=0;r&lt;this.length;r++)this.words[r]=0;var n,i,a=0;for(r=t.length-6,n=0;r&gt;=e;r-=6)i=s(t,r,r+6),this.words[n]|=i&lt;&lt;a&amp;67108863,this.words[n+1]|=i&gt;&gt;&gt;26-a&amp;4194303,(a+=24)&gt;=26&amp;&amp;(a-=26,n++);r+6!==e&amp;&amp;(i=s(t,e,r+6),this.words[n]|=i&lt;&lt;a&amp;67108863,this.words[n+1]|=i&gt;&gt;&gt;26-a&amp;4194303),this.strip()},a.prototype._parseBase=function(t,e,r){this.words=[0],this.length=1;for(var n=0,i=1;i&lt;=67108863;i*=e)n++;n--,i=i/e|0;for(var a=t.length-r,o=a%n,s=Math.min(a,a-o)+r,u=0,c=r;c&lt;s;c+=n)u=l(t,c,c+n,e),this.imuln(i),this.words[0]+u&lt;67108864?this.words[0]+=u:this._iaddn(u);if(0!==o){var f=1;for(u=l(t,c,t.length,e),c=0;c&lt;o;c++)f*=e;this.imuln(f),this.words[0]+u&lt;67108864?this.words[0]+=u:this._iaddn(u)}},a.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e&lt;this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},a.prototype.clone=function(){var t=new a(null);return this.copy(t),t},a.prototype._expand=function(t){for(;this.length&lt;t;)this.words[this.length++]=0;return this},a.prototype.strip=function(){for(;this.length&gt;1&amp;&amp;0===this.words[this.length-1];)this.length--;return this._normSign()},a.prototype._normSign=function(){return 1===this.length&amp;&amp;0===this.words[0]&amp;&amp;(this.negative=0),this},a.prototype.inspect=function(){return(this.red?&quot;&lt;BN-R: &quot;:&quot;&lt;BN: &quot;)+this.toString(16)+&quot;&gt;&quot;};var u=[&quot;&quot;,&quot;0&quot;,&quot;00&quot;,&quot;000&quot;,&quot;0000&quot;,&quot;00000&quot;,&quot;000000&quot;,&quot;0000000&quot;,&quot;00000000&quot;,&quot;000000000&quot;,&quot;0000000000&quot;,&quot;00000000000&quot;,&quot;000000000000&quot;,&quot;0000000000000&quot;,&quot;00000000000000&quot;,&quot;000000000000000&quot;,&quot;0000000000000000&quot;,&quot;00000000000000000&quot;,&quot;000000000000000000&quot;,&quot;0000000000000000000&quot;,&quot;00000000000000000000&quot;,&quot;000000000000000000000&quot;,&quot;0000000000000000000000&quot;,&quot;00000000000000000000000&quot;,&quot;000000000000000000000000&quot;,&quot;0000000000000000000000000&quot;],c=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],f=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function h(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&amp;o,l=o/67108864|0;r.words[0]=s;for(var u=1;u&lt;n;u++){for(var c=l&gt;&gt;&gt;26,f=67108863&amp;l,h=Math.min(u,e.length-1),d=Math.max(0,u-t.length+1);d&lt;=h;d++){var p=u-d|0;c+=(o=(i=0|t.words[p])*(a=0|e.words[d])+f)/67108864|0,f=67108863&amp;o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||&quot;hex&quot;===t){r=&quot;&quot;;for(var i=0,a=0,o=0;o&lt;this.length;o++){var s=this.words[o],l=(16777215&amp;(s&lt;&lt;i|a)).toString(16);r=0!==(a=s&gt;&gt;&gt;24-i&amp;16777215)||o!==this.length-1?u[6-l.length]+l+r:l+r,(i+=2)&gt;=26&amp;&amp;(i-=26,o--)}for(0!==a&amp;&amp;(r=a.toString(16)+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}if(t===(0|t)&amp;&amp;t&gt;=2&amp;&amp;t&lt;=36){var h=c[t],d=f[t];r=&quot;&quot;;var p=this.clone();for(p.negative=0;!p.isZero();){var g=p.modn(d).toString(t);r=(p=p.idivn(d)).isZero()?g+r:u[h-g.length]+g+r}for(this.isZero()&amp;&amp;(r=&quot;0&quot;+r);r.length%e!=0;)r=&quot;0&quot;+r;return 0!==this.negative&amp;&amp;(r=&quot;-&quot;+r),r}n(!1,&quot;Base should be between 2 and 36&quot;)},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&amp;&amp;1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length&gt;2&amp;&amp;n(!1,&quot;Number can only safely store up to 53 bits&quot;),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(&quot;undefined&quot;!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i&lt;=a,&quot;byte array longer than desired length&quot;),n(a&gt;0,&quot;Requested array length &lt;= 0&quot;),this.strip();var o,s,l=&quot;le&quot;===e,u=new t(a),c=this.clone();if(l){for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[s]=o;for(;s&lt;a;s++)u[s]=0}else{for(s=0;s&lt;a-i;s++)u[s]=0;for(s=0;!c.isZero();s++)o=c.andln(255),c.iushrn(8),u[a-s-1]=o}return u},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e&gt;=4096&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),e&gt;=64&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),e&gt;=8&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),e&gt;=2&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&amp;e)&amp;&amp;(r+=13,e&gt;&gt;&gt;=13),0==(127&amp;e)&amp;&amp;(r+=7,e&gt;&gt;&gt;=7),0==(15&amp;e)&amp;&amp;(r+=4,e&gt;&gt;&gt;=4),0==(3&amp;e)&amp;&amp;(r+=2,e&gt;&gt;&gt;=2),0==(1&amp;e)&amp;&amp;r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e&lt;this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length&lt;t.length;)this.words[this.length++]=0;for(var e=0;e&lt;t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length&gt;t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length&gt;t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length&gt;t.length?t:this;for(var r=0;r&lt;e.length;r++)this.words[r]=this.words[r]&amp;t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length&gt;t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length&gt;t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length&gt;t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n&lt;r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n&lt;e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length&gt;t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length&gt;t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r&gt;0&amp;&amp;e--;for(var i=0;i&lt;e;i++)this.words[i]=67108863&amp;~this.words[i];return r&gt;0&amp;&amp;(this.words[i]=~this.words[i]&amp;67108863&gt;&gt;26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1&lt;&lt;i:this.words[r]&amp;~(1&lt;&lt;i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&amp;&amp;0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&amp;&amp;0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length&gt;t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a&lt;n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;for(;0!==i&amp;&amp;a&lt;r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&amp;e,i=e&gt;&gt;&gt;26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a&lt;r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&amp;&amp;0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&amp;&amp;0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length&gt;t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i&gt;0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o&lt;n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;for(;0!==a&amp;&amp;o&lt;r.length;o++)a=(e=(0|r.words[o])+a)&gt;&gt;26,this.words[o]=67108863&amp;e;if(0===a&amp;&amp;o&lt;r.length&amp;&amp;r!==this)for(;o&lt;r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&amp;&amp;(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&amp;c,h=c&gt;&gt;&gt;13,d=0|o[1],p=8191&amp;d,g=d&gt;&gt;&gt;13,v=0|o[2],m=8191&amp;v,y=v&gt;&gt;&gt;13,b=0|o[3],x=8191&amp;b,_=b&gt;&gt;&gt;13,w=0|o[4],A=8191&amp;w,M=w&gt;&gt;&gt;13,T=0|o[5],k=8191&amp;T,E=T&gt;&gt;&gt;13,L=0|o[6],S=8191&amp;L,C=L&gt;&gt;&gt;13,O=0|o[7],R=8191&amp;O,P=O&gt;&gt;&gt;13,z=0|o[8],I=8191&amp;z,N=z&gt;&gt;&gt;13,D=0|o[9],F=8191&amp;D,j=D&gt;&gt;&gt;13,B=0|s[0],U=8191&amp;B,V=B&gt;&gt;&gt;13,H=0|s[1],q=8191&amp;H,G=H&gt;&gt;&gt;13,X=0|s[2],W=8191&amp;X,Y=X&gt;&gt;&gt;13,Z=0|s[3],Q=8191&amp;Z,$=Z&gt;&gt;&gt;13,J=0|s[4],K=8191&amp;J,tt=J&gt;&gt;&gt;13,et=0|s[5],rt=8191&amp;et,nt=et&gt;&gt;&gt;13,it=0|s[6],at=8191&amp;it,ot=it&gt;&gt;&gt;13,st=0|s[7],lt=8191&amp;st,ut=st&gt;&gt;&gt;13,ct=0|s[8],ft=8191&amp;ct,ht=ct&gt;&gt;&gt;13,dt=0|s[9],pt=8191&amp;dt,gt=dt&gt;&gt;&gt;13;r.negative=t.negative^e.negative,r.length=19;var vt=(u+(n=Math.imul(f,U))|0)+((8191&amp;(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))&lt;&lt;13)|0;u=((a=Math.imul(h,V))+(i&gt;&gt;&gt;13)|0)+(vt&gt;&gt;&gt;26)|0,vt&amp;=67108863,n=Math.imul(p,U),i=(i=Math.imul(p,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var mt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,G)|0)+(i&gt;&gt;&gt;13)|0)+(mt&gt;&gt;&gt;26)|0,mt&amp;=67108863,n=Math.imul(m,U),i=(i=Math.imul(m,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=(i=i+Math.imul(p,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(u+(n=n+Math.imul(f,W)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,Y)|0)+Math.imul(h,W)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,Y)|0)+(i&gt;&gt;&gt;13)|0)+(yt&gt;&gt;&gt;26)|0,yt&amp;=67108863,n=Math.imul(x,U),i=(i=Math.imul(x,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(m,q)|0,i=(i=i+Math.imul(m,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=(i=i+Math.imul(p,Y)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,Y)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,$)|0)+Math.imul(h,Q)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,$)|0)+(i&gt;&gt;&gt;13)|0)+(bt&gt;&gt;&gt;26)|0,bt&amp;=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(M,U)|0,a=Math.imul(M,V),n=n+Math.imul(x,q)|0,i=(i=i+Math.imul(x,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,i=(i=i+Math.imul(m,Y)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,Y)|0,n=n+Math.imul(p,Q)|0,i=(i=i+Math.imul(p,$)|0)+Math.imul(g,Q)|0,a=a+Math.imul(g,$)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,K)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,tt)|0)+(i&gt;&gt;&gt;13)|0)+(xt&gt;&gt;&gt;26)|0,xt&amp;=67108863,n=Math.imul(k,U),i=(i=Math.imul(k,V))+Math.imul(E,U)|0,a=Math.imul(E,V),n=n+Math.imul(A,q)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(M,q)|0,a=a+Math.imul(M,G)|0,n=n+Math.imul(x,W)|0,i=(i=i+Math.imul(x,Y)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,Y)|0,n=n+Math.imul(m,Q)|0,i=(i=i+Math.imul(m,$)|0)+Math.imul(y,Q)|0,a=a+Math.imul(y,$)|0,n=n+Math.imul(p,K)|0,i=(i=i+Math.imul(p,tt)|0)+Math.imul(g,K)|0,a=a+Math.imul(g,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,nt)|0)+(i&gt;&gt;&gt;13)|0)+(_t&gt;&gt;&gt;26)|0,_t&amp;=67108863,n=Math.imul(S,U),i=(i=Math.imul(S,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(k,q)|0,i=(i=i+Math.imul(k,G)|0)+Math.imul(E,q)|0,a=a+Math.imul(E,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,Y)|0)+Math.imul(M,W)|0,a=a+Math.imul(M,Y)|0,n=n+Math.imul(x,Q)|0,i=(i=i+Math.imul(x,$)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,$)|0,n=n+Math.imul(m,K)|0,i=(i=i+Math.imul(m,tt)|0)+Math.imul(y,K)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(p,rt)|0,i=(i=i+Math.imul(p,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ot)|0)+(i&gt;&gt;&gt;13)|0)+(wt&gt;&gt;&gt;26)|0,wt&amp;=67108863,n=Math.imul(R,U),i=(i=Math.imul(R,V))+Math.imul(P,U)|0,a=Math.imul(P,V),n=n+Math.imul(S,q)|0,i=(i=i+Math.imul(S,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(k,W)|0,i=(i=i+Math.imul(k,Y)|0)+Math.imul(E,W)|0,a=a+Math.imul(E,Y)|0,n=n+Math.imul(A,Q)|0,i=(i=i+Math.imul(A,$)|0)+Math.imul(M,Q)|0,a=a+Math.imul(M,$)|0,n=n+Math.imul(x,K)|0,i=(i=i+Math.imul(x,tt)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,i=(i=i+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(p,at)|0,i=(i=i+Math.imul(p,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var At=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ut)|0)+(i&gt;&gt;&gt;13)|0)+(At&gt;&gt;&gt;26)|0,At&amp;=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(R,q)|0,i=(i=i+Math.imul(R,G)|0)+Math.imul(P,q)|0,a=a+Math.imul(P,G)|0,n=n+Math.imul(S,W)|0,i=(i=i+Math.imul(S,Y)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,Y)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,$)|0)+Math.imul(E,Q)|0,a=a+Math.imul(E,$)|0,n=n+Math.imul(A,K)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(M,K)|0,a=a+Math.imul(M,tt)|0,n=n+Math.imul(x,rt)|0,i=(i=i+Math.imul(x,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(m,at)|0,i=(i=i+Math.imul(m,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(p,lt)|0,i=(i=i+Math.imul(p,ut)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ut)|0;var Mt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,ht)|0)+(i&gt;&gt;&gt;13)|0)+(Mt&gt;&gt;&gt;26)|0,Mt&amp;=67108863,n=Math.imul(F,U),i=(i=Math.imul(F,V))+Math.imul(j,U)|0,a=Math.imul(j,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(N,q)|0,a=a+Math.imul(N,G)|0,n=n+Math.imul(R,W)|0,i=(i=i+Math.imul(R,Y)|0)+Math.imul(P,W)|0,a=a+Math.imul(P,Y)|0,n=n+Math.imul(S,Q)|0,i=(i=i+Math.imul(S,$)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,$)|0,n=n+Math.imul(k,K)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(E,K)|0,a=a+Math.imul(E,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(M,rt)|0,a=a+Math.imul(M,nt)|0,n=n+Math.imul(x,at)|0,i=(i=i+Math.imul(x,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,i=(i=i+Math.imul(m,ut)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ft)|0,i=(i=i+Math.imul(p,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Tt=(u+(n=n+Math.imul(f,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(h,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Tt&gt;&gt;&gt;26)|0,Tt&amp;=67108863,n=Math.imul(F,q),i=(i=Math.imul(F,G))+Math.imul(j,q)|0,a=Math.imul(j,G),n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,Y)|0)+Math.imul(N,W)|0,a=a+Math.imul(N,Y)|0,n=n+Math.imul(R,Q)|0,i=(i=i+Math.imul(R,$)|0)+Math.imul(P,Q)|0,a=a+Math.imul(P,$)|0,n=n+Math.imul(S,K)|0,i=(i=i+Math.imul(S,tt)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(E,rt)|0,a=a+Math.imul(E,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(M,at)|0,a=a+Math.imul(M,ot)|0,n=n+Math.imul(x,lt)|0,i=(i=i+Math.imul(x,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(m,ft)|0,i=(i=i+Math.imul(m,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var kt=(u+(n=n+Math.imul(p,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(p,gt)|0)+Math.imul(g,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(g,gt)|0)+(i&gt;&gt;&gt;13)|0)+(kt&gt;&gt;&gt;26)|0,kt&amp;=67108863,n=Math.imul(F,W),i=(i=Math.imul(F,Y))+Math.imul(j,W)|0,a=Math.imul(j,Y),n=n+Math.imul(I,Q)|0,i=(i=i+Math.imul(I,$)|0)+Math.imul(N,Q)|0,a=a+Math.imul(N,$)|0,n=n+Math.imul(R,K)|0,i=(i=i+Math.imul(R,tt)|0)+Math.imul(P,K)|0,a=a+Math.imul(P,tt)|0,n=n+Math.imul(S,rt)|0,i=(i=i+Math.imul(S,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(E,at)|0,a=a+Math.imul(E,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ut)|0)+Math.imul(M,lt)|0,a=a+Math.imul(M,ut)|0,n=n+Math.imul(x,ft)|0,i=(i=i+Math.imul(x,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var Et=(u+(n=n+Math.imul(m,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(m,gt)|0)+Math.imul(y,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(y,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Et&gt;&gt;&gt;26)|0,Et&amp;=67108863,n=Math.imul(F,Q),i=(i=Math.imul(F,$))+Math.imul(j,Q)|0,a=Math.imul(j,$),n=n+Math.imul(I,K)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(N,K)|0,a=a+Math.imul(N,tt)|0,n=n+Math.imul(R,rt)|0,i=(i=i+Math.imul(R,nt)|0)+Math.imul(P,rt)|0,a=a+Math.imul(P,nt)|0,n=n+Math.imul(S,at)|0,i=(i=i+Math.imul(S,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(k,lt)|0,i=(i=i+Math.imul(k,ut)|0)+Math.imul(E,lt)|0,a=a+Math.imul(E,ut)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(M,ft)|0,a=a+Math.imul(M,ht)|0;var Lt=(u+(n=n+Math.imul(x,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(x,gt)|0)+Math.imul(_,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(_,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Lt&gt;&gt;&gt;26)|0,Lt&amp;=67108863,n=Math.imul(F,K),i=(i=Math.imul(F,tt))+Math.imul(j,K)|0,a=Math.imul(j,tt),n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(N,rt)|0,a=a+Math.imul(N,nt)|0,n=n+Math.imul(R,at)|0,i=(i=i+Math.imul(R,ot)|0)+Math.imul(P,at)|0,a=a+Math.imul(P,ot)|0,n=n+Math.imul(S,lt)|0,i=(i=i+Math.imul(S,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(k,ft)|0,i=(i=i+Math.imul(k,ht)|0)+Math.imul(E,ft)|0,a=a+Math.imul(E,ht)|0;var St=(u+(n=n+Math.imul(A,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(A,gt)|0)+Math.imul(M,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(M,gt)|0)+(i&gt;&gt;&gt;13)|0)+(St&gt;&gt;&gt;26)|0,St&amp;=67108863,n=Math.imul(F,rt),i=(i=Math.imul(F,nt))+Math.imul(j,rt)|0,a=Math.imul(j,nt),n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(N,at)|0,a=a+Math.imul(N,ot)|0,n=n+Math.imul(R,lt)|0,i=(i=i+Math.imul(R,ut)|0)+Math.imul(P,lt)|0,a=a+Math.imul(P,ut)|0,n=n+Math.imul(S,ft)|0,i=(i=i+Math.imul(S,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(k,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(k,gt)|0)+Math.imul(E,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(E,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ct&gt;&gt;&gt;26)|0,Ct&amp;=67108863,n=Math.imul(F,at),i=(i=Math.imul(F,ot))+Math.imul(j,at)|0,a=Math.imul(j,ot),n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ut)|0)+Math.imul(N,lt)|0,a=a+Math.imul(N,ut)|0,n=n+Math.imul(R,ft)|0,i=(i=i+Math.imul(R,ht)|0)+Math.imul(P,ft)|0,a=a+Math.imul(P,ht)|0;var Ot=(u+(n=n+Math.imul(S,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(S,gt)|0)+Math.imul(C,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(C,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Ot&gt;&gt;&gt;26)|0,Ot&amp;=67108863,n=Math.imul(F,lt),i=(i=Math.imul(F,ut))+Math.imul(j,lt)|0,a=Math.imul(j,ut),n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(N,ft)|0,a=a+Math.imul(N,ht)|0;var Rt=(u+(n=n+Math.imul(R,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(R,gt)|0)+Math.imul(P,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(P,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Rt&gt;&gt;&gt;26)|0,Rt&amp;=67108863,n=Math.imul(F,ft),i=(i=Math.imul(F,ht))+Math.imul(j,ft)|0,a=Math.imul(j,ht);var Pt=(u+(n=n+Math.imul(I,pt)|0)|0)+((8191&amp;(i=(i=i+Math.imul(I,gt)|0)+Math.imul(N,pt)|0))&lt;&lt;13)|0;u=((a=a+Math.imul(N,gt)|0)+(i&gt;&gt;&gt;13)|0)+(Pt&gt;&gt;&gt;26)|0,Pt&amp;=67108863;var zt=(u+(n=Math.imul(F,pt))|0)+((8191&amp;(i=(i=Math.imul(F,gt))+Math.imul(j,pt)|0))&lt;&lt;13)|0;return u=((a=Math.imul(j,gt))+(i&gt;&gt;&gt;13)|0)+(zt&gt;&gt;&gt;26)|0,zt&amp;=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=At,l[8]=Mt,l[9]=Tt,l[10]=kt,l[11]=Et,l[12]=Lt,l[13]=St,l[14]=Ct,l[15]=Ot,l[16]=Rt,l[17]=Pt,l[18]=zt,0!==u&amp;&amp;(l[19]=u,r.length++),r};function p(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&amp;&amp;10===t.length?d(this,t,e):r&lt;63?h(this,t,e):r&lt;1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a&lt;r.length-1;a++){var o=i;i=0;for(var s=67108863&amp;n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u&lt;=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&amp;f;s=67108863&amp;(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h&gt;&gt;&gt;26)|0)&gt;&gt;&gt;26,o&amp;=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):p(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n&lt;t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i&lt;e;i++)n|=(1&amp;t)&lt;&lt;e-i-1,t&gt;&gt;=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o&lt;a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o&lt;i;o&lt;&lt;=1)for(var s=o&lt;&lt;1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c&lt;i;c+=s)for(var f=l,h=u,d=0;d&lt;o;d++){var p=r[c+d],g=n[c+d],v=r[c+d+o],m=n[c+d+o],y=f*v-h*m;m=f*m+h*v,v=y,r[c+d]=p+v,n[c+d]=g+m,r[c+d+o]=p-v,n[c+d+o]=g-m,d!==s&amp;&amp;(y=l*f-u*h,h=l*h+u*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&amp;r,i=0;for(r=r/2|0;r;r&gt;&gt;&gt;=1)i++;return 1&lt;&lt;i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r&lt;=1))for(var n=0;n&lt;r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n&lt;e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&amp;i,r=i&lt;67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o&lt;e;o++)a+=0|t[o],r[2*o]=8191&amp;a,a&gt;&gt;&gt;=13,r[2*o+1]=8191&amp;a,a&gt;&gt;&gt;=13;for(o=2*e;o&lt;i;++o)r[o]=0;n(0===a),n(0==(-8192&amp;a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r&lt;t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var d=0;d&lt;n;d++){var p=s[d]*c[d]-l[d]*f[d];l[d]=s[d]*f[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),p(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(&quot;number&quot;==typeof t),n(t&lt;67108864);for(var e=0,r=0;r&lt;this.length;r++){var i=(0|this.words[r])*t,a=(67108863&amp;i)+(67108863&amp;e);e&gt;&gt;=26,e+=i/67108864|0,e+=a&gt;&gt;&gt;26,this.words[r]=67108863&amp;a}return 0!==e&amp;&amp;(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r&lt;e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&amp;1&lt;&lt;i)&gt;&gt;&gt;i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n&lt;e.length&amp;&amp;0===e[n];n++,r=r.sqr());if(++n&lt;e.length)for(var i=r.sqr();n&lt;e.length;n++,i=i.sqr())0!==e[n]&amp;&amp;(r=r.mul(i));return r},a.prototype.iushln=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e,r=t%26,i=(t-r)/26,a=67108863&gt;&gt;&gt;26-r&lt;&lt;26-r;if(0!==r){var o=0;for(e=0;e&lt;this.length;e++){var s=this.words[e]&amp;a,l=(0|this.words[e])-s&lt;&lt;r;this.words[e]=l|o,o=s&gt;&gt;&gt;26-r}o&amp;&amp;(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e&gt;=0;e--)this.words[e+i]=this.words[e];for(e=0;e&lt;i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863&gt;&gt;&gt;a&lt;&lt;a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u&lt;o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length&gt;o)for(this.length-=o,u=0;u&lt;this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u&gt;=0&amp;&amp;(0!==c||u&gt;=i);u--){var f=0|this.words[u];this.words[u]=c&lt;&lt;26-a|f&gt;&gt;&gt;a,c=f&amp;s}return l&amp;&amp;0!==c&amp;&amp;(l.words[l.length++]=c),0===this.length&amp;&amp;(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;return!(this.length&lt;=r)&amp;&amp;!!(this.words[r]&amp;i)},a.prototype.imaskn=function(t){n(&quot;number&quot;==typeof t&amp;&amp;t&gt;=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,&quot;imaskn works only with positive numbers&quot;),this.length&lt;=r)return this;if(0!==e&amp;&amp;r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863&gt;&gt;&gt;e&lt;&lt;e;this.words[this.length-1]&amp;=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0?this.isubn(-t):0!==this.negative?1===this.length&amp;&amp;(0|this.words[0])&lt;t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&gt;=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(&quot;number&quot;==typeof t),n(t&lt;67108864),t&lt;0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&amp;&amp;this.words[0]&lt;0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e&lt;this.length&amp;&amp;this.words[e]&lt;0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i&lt;t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&amp;l)&gt;&gt;26)-(l/67108864|0),this.words[i+r]=67108863&amp;a}for(;i&lt;this.length-r;i++)s=(a=(0|this.words[i+r])+s)&gt;&gt;26,this.words[i+r]=67108863&amp;a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i&lt;this.length;i++)s=(a=-(0|this.words[i])+s)&gt;&gt;26,this.words[i]=67108863&amp;a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&amp;&amp;(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(&quot;mod&quot;!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u&lt;s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&amp;&amp;(n=c,s&amp;&amp;(s.words[l]=1));for(var f=l-1;f&gt;=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&amp;&amp;(s.words[f]=h)}return s&amp;&amp;s.strip(),n.strip(),&quot;div&quot;!==e&amp;&amp;0!==r&amp;&amp;n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&amp;&amp;0===t.negative?(s=this.neg().divmod(t,e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.iadd(t)),{div:i,mod:o}):0===this.negative&amp;&amp;0!==t.negative?(s=this.divmod(t.neg(),e),&quot;mod&quot;!==e&amp;&amp;(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&amp;t.negative)?(s=this.neg().divmod(t.neg(),e),&quot;div&quot;!==e&amp;&amp;(o=s.mod.neg(),r&amp;&amp;0!==o.negative&amp;&amp;o.isub(t)),{div:s.div,mod:o}):t.length&gt;this.length||this.cmp(t)&lt;0?{div:new a(0),mod:this}:1===t.length?&quot;div&quot;===e?{div:this.divn(t.words[0]),mod:null}:&quot;mod&quot;===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,&quot;div&quot;,!1).div},a.prototype.mod=function(t){return this.divmod(t,&quot;mod&quot;,!1).mod},a.prototype.umod=function(t){return this.divmod(t,&quot;mod&quot;,!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a&lt;0||1===i&amp;&amp;0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t&lt;=67108863);for(var e=(1&lt;&lt;26)%t,r=0,i=this.length-1;i&gt;=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t&lt;=67108863);for(var e=0,r=this.length-1;r&gt;=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&amp;&amp;r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,d=1;0==(e.words[0]&amp;d)&amp;&amp;h&lt;26;++h,d&lt;&lt;=1);if(h&gt;0)for(e.iushrn(h);h-- &gt;0;)(i.isOdd()||o.isOdd())&amp;&amp;(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var p=0,g=1;0==(r.words[0]&amp;g)&amp;&amp;p&lt;26;++p,g&lt;&lt;=1);if(p&gt;0)for(r.iushrn(p);p-- &gt;0;)(s.isOdd()||l.isOdd())&amp;&amp;(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)&gt;0&amp;&amp;r.cmpn(1)&gt;0;){for(var u=0,c=1;0==(e.words[0]&amp;c)&amp;&amp;u&lt;26;++u,c&lt;&lt;=1);if(u&gt;0)for(e.iushrn(u);u-- &gt;0;)o.isOdd()&amp;&amp;o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&amp;h)&amp;&amp;f&lt;26;++f,h&lt;&lt;=1);if(f&gt;0)for(r.iushrn(f);f-- &gt;0;)s.isOdd()&amp;&amp;s.iadd(l),s.iushrn(1);e.cmp(r)&gt;=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)&lt;0&amp;&amp;i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&amp;&amp;r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i&lt;0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&amp;this.words[0])},a.prototype.isOdd=function(){return 1==(1&amp;this.words[0])},a.prototype.andln=function(t){return this.words[0]&amp;t},a.prototype.bincn=function(t){n(&quot;number&quot;==typeof t);var e=t%26,r=(t-e)/26,i=1&lt;&lt;e;if(this.length&lt;=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&amp;&amp;o&lt;this.length;o++){var s=0|this.words[o];a=(s+=a)&gt;&gt;&gt;26,s&amp;=67108863,this.words[o]=s}return 0!==a&amp;&amp;(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&amp;&amp;0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t&lt;0;if(0!==this.negative&amp;&amp;!r)return-1;if(0===this.negative&amp;&amp;r)return 1;if(this.strip(),this.length&gt;1)e=1;else{r&amp;&amp;(t=-t),n(t&lt;=67108863,&quot;Number is too big&quot;);var i=0|this.words[0];e=i===t?0:i&lt;t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&amp;&amp;0===t.negative)return-1;if(0===this.negative&amp;&amp;0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length&gt;t.length)return 1;if(this.length&lt;t.length)return-1;for(var e=0,r=this.length-1;r&gt;=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n&lt;i?e=-1:n&gt;i&amp;&amp;(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)&gt;=0},a.prototype.gte=function(t){return this.cmp(t)&gt;=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)&lt;=0},a.prototype.lte=function(t){return this.cmp(t)&lt;=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),n(0===this.negative,&quot;red works only with positives&quot;),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,&quot;fromRed works only with numbers in reduction context&quot;),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,&quot;Already a number in reduction context&quot;),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,&quot;redAdd works only with red numbers&quot;),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,&quot;redIAdd works only with red numbers&quot;),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,&quot;redSub works only with red numbers&quot;),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,&quot;redISub works only with red numbers&quot;),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,&quot;redShl works only with red numbers&quot;),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,&quot;redMul works only with red numbers&quot;),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,&quot;redSqr works only with red numbers&quot;),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,&quot;redISqr works only with red numbers&quot;),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,&quot;redSqrt works only with red numbers&quot;),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,&quot;redInvm works only with red numbers&quot;),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,&quot;redNeg works only with red numbers&quot;),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&amp;&amp;!t.red,&quot;redPow(normalNum)&quot;),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,&quot;k256&quot;,&quot;ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f&quot;)}function b(){m.call(this,&quot;p224&quot;,&quot;ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001&quot;)}function x(){m.call(this,&quot;p192&quot;,&quot;ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff&quot;)}function _(){m.call(this,&quot;25519&quot;,&quot;7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed&quot;)}function w(t){if(&quot;string&quot;==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),&quot;modulus must be greater than 1&quot;),this.m=t,this.prime=null}function A(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&amp;&amp;(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e&gt;this.n);var n=e&lt;this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n&gt;0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n&lt;r;n++)e.words[n]=t.words[n];if(e.length=r,t.length&lt;=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&amp;i,n=10;n&lt;t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&amp;a)&lt;&lt;4|i&gt;&gt;&gt;22,i=a}i&gt;&gt;&gt;=22,t.words[n-10]=i,0===i&amp;&amp;t.length&gt;10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r&lt;t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&amp;e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&amp;&amp;(t.length--,0===t.words[t.length-1]&amp;&amp;t.length--),t},i(b,m),i(x,m),i(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r&lt;t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&amp;n;n&gt;&gt;&gt;=26,t.words[r]=i,e=n}return 0!==e&amp;&amp;(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(&quot;k256&quot;===t)e=new y;else if(&quot;p224&quot;===t)e=new b;else if(&quot;p192&quot;===t)e=new x;else{if(&quot;p25519&quot;!==t)throw new Error(&quot;Unknown prime &quot;+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,&quot;red works only with 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this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&amp;&amp;0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),d=this.pow(t,i),p=o;0!==d.cmp(s);){for(var g=d,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v&lt;p);var m=this.pow(f,new a(1).iushln(p-v-1));h=h.redMul(m),f=m.redSqr(),d=d.redMul(f),p=v}return h},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n&lt;r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&amp;&amp;(l=26),n=e.length-1;n&gt;=0;n--){for(var u=e.words[n],c=l-1;c&gt;=0;c--){var f=u&gt;&gt;c&amp;1;i!==r[0]&amp;&amp;(i=this.sqr(i)),0!==f||0!==o?(o&lt;&lt;=1,o|=f,(4===++s||0===n&amp;&amp;0===c)&amp;&amp;(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new A(t)},i(A,w),A.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},A.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return 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z=(R-=1)*x,I=w[z],N=w[z+1],D=w[z+2],F=w[z+3],j=w[z+4],B=w[z+5],U=R*_,V=A[U],H=A[U+1],q=1&amp;B,G=!!(16&amp;B),X=c,W=E,Y=S,Z=C;if(q&amp;&amp;(X=S,W=C,Y=c,Z=E),!(2&amp;B&amp;&amp;(D=v(t,I,N,D,X,W,H),N&gt;=D)||4&amp;B&amp;&amp;(N=m(t,I,N,D,X,W,V))&gt;=D)){var Q=D-N,$=j-F;if(G){if(t*Q*(Q+$)&lt;d){if(void 0!==(O=l.scanComplete(t,I,e,N,D,X,W,F,j,Y,Z)))return O;continue}}else{if(t*Math.min(Q,$)&lt;f){if(void 0!==(O=o(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}if(t*Q*$&lt;h){if(void 0!==(O=l.scanBipartite(t,I,e,q,N,D,X,W,F,j,Y,Z)))return O;continue}}var J=p(t,I,N,D,X,W,V,H);if(N&lt;J)if(t*(J-N)&lt;f){if(void 0!==(O=s(t,I+1,e,N,J,X,W,F,j,Y,Z)))return O}else if(I===t-2){if(void 0!==(O=q?l.sweepBipartite(t,e,F,j,Y,Z,N,J,X,W):l.sweepBipartite(t,e,N,J,X,W,F,j,Y,Z)))return O}else M(R++,I+1,N,J,F,j,q,-1/0,1/0),M(R++,I+1,F,j,N,J,1^q,-1/0,1/0);if(J&lt;D){var K=u(t,I,F,j,Y,Z),tt=Y[P*K+I],et=g(t,I,K,j,Y,Z,tt);if(et&lt;j&amp;&amp;M(R++,I,J,D,et,j,(4|q)+(G?16:0),tt,H),F&lt;K&amp;&amp;M(R++,I,J,D,F,K,(2|q)+(G?16:0),V,tt),K+1===et){if(void 0!==(O=G?k(t,I,e,J,D,X,W,K,Y,Z[K]):T(t,I,e,q,J,D,X,W,K,Y,Z[K])))return O}else if(K&lt;et){var rt;if(G){if(rt=y(t,I,J,D,X,W,tt),J&lt;rt){var nt=g(t,I,J,rt,X,W,tt);if(I===t-2){if(J&lt;nt&amp;&amp;void 0!==(O=l.sweepComplete(t,e,J,nt,X,W,K,et,Y,Z)))return O;if(nt&lt;rt&amp;&amp;void 0!==(O=l.sweepBipartite(t,e,nt,rt,X,W,K,et,Y,Z)))return O}else J&lt;nt&amp;&amp;M(R++,I+1,J,nt,K,et,16,-1/0,1/0),nt&lt;rt&amp;&amp;(M(R++,I+1,nt,rt,K,et,0,-1/0,1/0),M(R++,I+1,K,et,nt,rt,1,-1/0,1/0))}}else rt=q?b(t,I,J,D,X,W,tt):y(t,I,J,D,X,W,tt),J&lt;rt&amp;&amp;(I===t-2?O=q?l.sweepBipartite(t,e,K,et,Y,Z,J,rt,X,W):l.sweepBipartite(t,e,J,rt,X,W,K,et,Y,Z):(M(R++,I+1,J,rt,K,et,q,-1/0,1/0),M(R++,I+1,K,et,J,rt,1^q,-1/0,1/0)))}}}}};var n=t(&quot;typedarray-pool&quot;),i=t(&quot;bit-twiddle&quot;),a=t(&quot;./brute&quot;),o=a.partial,s=a.full,l=t(&quot;./sweep&quot;),u=t(&quot;./median&quot;),c=t(&quot;./partition&quot;),f=128,h=1&lt;&lt;22,d=1&lt;&lt;22,p=c(&quot;!(lo&gt;=p0)&amp;&amp;!(p1&gt;=hi)&quot;,[&quot;p0&quot;,&quot;p1&quot;]),g=c(&quot;lo===p0&quot;,[&quot;p0&quot;]),v=c(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),m=c(&quot;hi&lt;=p0&quot;,[&quot;p0&quot;]),y=c(&quot;lo&lt;=p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),b=c(&quot;lo&lt;p0&amp;&amp;p0&lt;=hi&quot;,[&quot;p0&quot;]),x=6,_=2,w=n.mallocInt32(1024),A=n.mallocDouble(1024);function M(t,e,r,n,i,a,o,s,l){var u=x*t;w[u]=e,w[u+1]=r,w[u+2]=n,w[u+3]=i,w[u+4]=a,w[u+5]=o;var c=_*t;A[c]=s,A[c+1]=l}function T(t,e,r,n,i,a,o,s,l,u,c){var f=2*t,h=l*f,d=u[h+e];t:for(var p=i,g=i*f;p&lt;a;++p,g+=f){var v=o[g+e],m=o[g+e+t];if(!(d&lt;v||m&lt;d)&amp;&amp;(!n||d!==v)){for(var y,b=s[p],x=e+1;x&lt;t;++x){v=o[g+x],m=o[g+x+t];var _=u[h+x],w=u[h+x+t];if(m&lt;_||w&lt;v)continue t}if(void 0!==(y=n?r(c,b):r(b,c)))return y}}}function k(t,e,r,n,i,a,o,s,l,u){var c=2*t,f=s*c,h=l[f+e];t:for(var d=n,p=n*c;d&lt;i;++d,p+=c){var g=o[d];if(g!==u){var v=a[p+e],m=a[p+e+t];if(!(h&lt;v||m&lt;h)){for(var y=e+1;y&lt;t;++y){v=a[p+y],m=a[p+y+t];var b=l[f+y],x=l[f+y+t];if(m&lt;b||x&lt;v)continue t}var _=r(g,u);if(void 0!==_)return _}}}}},{&quot;./brute&quot;:40,&quot;./median&quot;:42,&quot;./partition&quot;:43,&quot;./sweep&quot;:45,&quot;bit-twiddle&quot;:36,&quot;typedarray-pool&quot;:348}],42:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,o,s,l){if(o&lt;=r+1)return r;var u=r,c=o,f=o+r&gt;&gt;&gt;1,h=2*t,d=f,p=s[h*f+e];for(;u&lt;c;){if(c-u&lt;i){a(t,e,u,c,s,l),p=s[h*f+e];break}var g=c-u,v=Math.random()*g+u|0,m=s[h*v+e],y=Math.random()*g+u|0,b=s[h*y+e],x=Math.random()*g+u|0,_=s[h*x+e];m&lt;=b?_&gt;=b?(d=y,p=b):m&gt;=_?(d=v,p=m):(d=x,p=_):b&gt;=_?(d=y,p=b):_&gt;=m?(d=v,p=m):(d=x,p=_);for(var w=h*(c-1),A=h*d,M=0;M&lt;h;++M,++w,++A){var T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];l[c-1]=l[d],l[d]=k,d=n(t,e,u,c-1,s,l,p);for(var w=h*(c-1),A=h*d,M=0;M&lt;h;++M,++w,++A){var T=s[w];s[w]=s[A],s[A]=T}var k=l[c-1];if(l[c-1]=l[d],l[d]=k,f&lt;d){for(c=d-1;u&lt;c&amp;&amp;s[h*(c-1)+e]===p;)c-=1;c+=1}else{if(!(d&lt;f))break;for(u=d+1;u&lt;c&amp;&amp;s[h*u+e]===p;)u+=1}}return n(t,e,r,f,s,l,s[h*f+e])};var n=t(&quot;./partition&quot;)(&quot;lo&lt;p0&quot;,[&quot;p0&quot;]),i=8;function a(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l&lt;n;++l,s+=o)for(var u=i[s],c=l,f=o*(l-1);c&gt;r&amp;&amp;i[f+e]&gt;u;--c,f-=o){for(var h=f,d=f+o,p=0;p&lt;o;++p,++h,++d){var g=i[h];i[h]=i[d],i[d]=g}var v=a[c];a[c]=a[c-1],a[c-1]=v}}},{&quot;./partition&quot;:43}],43:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=&quot;abcdef&quot;.split(&quot;&quot;).concat(e),i=[];t.indexOf(&quot;lo&quot;)&gt;=0&amp;&amp;i.push(&quot;lo=e[k+n]&quot;);t.indexOf(&quot;hi&quot;)&gt;=0&amp;&amp;i.push(&quot;hi=e[k+o]&quot;);return r.push(n.replace(&quot;_&quot;,i.join()).replace(&quot;$&quot;,t)),Function.apply(void 0,r)};var n=&quot;for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d&gt;p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j&gt;s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m&quot;},{}],44:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){e&lt;=4*n?i(0,e-1,t):function t(e,r,f){var h=(r-e+1)/6|0,d=e+h,p=r-h,g=e+r&gt;&gt;1,v=g-h,m=g+h,y=d,b=v,x=g,_=m,w=p,A=e+1,M=r-1,T=0;u(y,b,f)&amp;&amp;(T=y,y=b,b=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);u(y,x,f)&amp;&amp;(T=y,y=x,x=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(y,_,f)&amp;&amp;(T=y,y=_,_=T);u(x,_,f)&amp;&amp;(T=x,x=_,_=T);u(b,w,f)&amp;&amp;(T=b,b=w,w=T);u(b,x,f)&amp;&amp;(T=b,b=x,x=T);u(_,w,f)&amp;&amp;(T=_,_=w,w=T);var k=f[2*b];var E=f[2*b+1];var L=f[2*_];var S=f[2*_+1];var C=2*y;var O=2*x;var R=2*w;var P=2*d;var z=2*g;var I=2*p;for(var N=0;N&lt;2;++N){var D=f[C+N],F=f[O+N],j=f[R+N];f[P+N]=D,f[z+N]=F,f[I+N]=j}o(v,e,f);o(m,r,f);for(var B=A;B&lt;=M;++B)if(c(B,k,E,f))B!==A&amp;&amp;a(B,A,f),++A;else if(!c(B,L,S,f))for(;;){if(c(M,L,S,f)){c(M,k,E,f)?(s(B,A,M,f),++A,--M):(a(B,M,f),--M);break}if(--M&lt;B)break}l(e,A-1,k,E,f);l(r,M+1,L,S,f);A-2-e&lt;=n?i(e,A-2,f):t(e,A-2,f);r-(M+2)&lt;=n?i(M+2,r,f):t(M+2,r,f);M-A&lt;=n?i(A,M,f):t(A,M,f)}(0,e-1,t)};var n=32;function i(t,e,r){for(var n=2*(t+1),i=t+1;i&lt;=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- &gt;t;){var u=r[l-2],c=r[l-1];if(u&lt;a)break;if(u===a&amp;&amp;c&lt;o)break;r[l]=u,r[l+1]=c,l-=2}r[l]=a,r[l+1]=o}}function a(t,e,r){e*=2;var n=r[t*=2],i=r[t+1];r[t]=r[e],r[t+1]=r[e+1],r[e]=n,r[e+1]=i}function o(t,e,r){e*=2,r[t*=2]=r[e],r[t+1]=r[e+1]}function s(t,e,r,n){e*=2,r*=2;var i=n[t*=2],a=n[t+1];n[t]=n[e],n[t+1]=n[e+1],n[e]=n[r],n[e+1]=n[r+1],n[r]=i,n[r+1]=a}function l(t,e,r,n,i){e*=2,i[t*=2]=i[e],i[e]=r,i[t+1]=i[e+1],i[e+1]=n}function u(t,e,r){e*=2;var 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if(C&gt;=0)p(s,l,L--,C);else if(C&lt;=-o){C=-C-o|0;for(var O=0;O&lt;L;++O){var R=e(s[O],C);if(void 0!==R)return R}g(u,c,S++,C)}else{C=-C-1|0;for(var O=0;O&lt;S;++O){var R=e(C,u[O]);if(void 0!==R)return R}g(s,l,L++,C)}}},sweepComplete:function(t,e,r,n,i,o,v,m,y,b){for(var x=0,_=2*t,w=t-1,A=_-1,M=r;M&lt;n;++M){var T=o[M]+1&lt;&lt;1,k=_*M;d[x++]=i[k+w],d[x++]=-T,d[x++]=i[k+A],d[x++]=T}for(var M=v;M&lt;m;++M){var T=b[M]+1&lt;&lt;1,E=_*M;d[x++]=y[E+w],d[x++]=1|-T,d[x++]=y[E+A],d[x++]=1|T}var L=x&gt;&gt;&gt;1;a(d,L);for(var S=0,C=0,O=0,M=0;M&lt;L;++M){var R=0|d[2*M+1],P=1&amp;R;if(M&lt;L-1&amp;&amp;R&gt;&gt;1==d[2*M+3]&gt;&gt;1&amp;&amp;(P=2,M+=1),R&lt;0){for(var z=-(R&gt;&gt;1)-1,I=0;I&lt;O;++I){var N=e(f[I],z);if(void 0!==N)return N}if(0!==P)for(var I=0;I&lt;S;++I){var N=e(s[I],z);if(void 0!==N)return N}if(1!==P)for(var I=0;I&lt;C;++I){var N=e(u[I],z);if(void 0!==N)return N}0===P?g(s,l,S++,z):1===P?g(u,c,C++,z):2===P&amp;&amp;g(f,h,O++,z)}else{var 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n=t(&quot;binary-search-bounds&quot;),i=t(&quot;robust-orientation&quot;)[3],a=0,o=1,s=2;function l(t,e,r,n,i){this.a=t,this.b=e,this.idx=r,this.lowerIds=n,this.upperIds=i}function u(t,e,r,n){this.a=t,this.b=e,this.type=r,this.idx=n}function c(t,e){var r=t.a[0]-e.a[0]||t.a[1]-e.a[1]||t.type-e.type;return r||(t.type!==a&amp;&amp;(r=i(t.a,t.b,e.b))?r:t.idx-e.idx)}function f(t,e){return i(t.a,t.b,e)}function h(t,e,r,a,o){for(var s=n.lt(e,a,f),l=n.gt(e,a,f),u=s;u&lt;l;++u){for(var c=e[u],h=c.lowerIds,d=h.length;d&gt;1&amp;&amp;i(r[h[d-2]],r[h[d-1]],a)&gt;0;)t.push([h[d-1],h[d-2],o]),d-=1;h.length=d,h.push(o);var p=c.upperIds;for(d=p.length;d&gt;1&amp;&amp;i(r[p[d-2]],r[p[d-1]],a)&lt;0;)t.push([p[d-2],p[d-1],o]),d-=1;p.length=d,p.push(o)}}function d(t,e){var r;return(r=t.a[0]&lt;e.a[0]?i(t.a,t.b,e.a):i(e.b,e.a,t.a))?r:(r=e.b[0]&lt;t.b[0]?i(t.a,t.b,e.b):i(e.b,e.a,t.b))||t.idx-e.idx}function p(t,e,r){var i=n.le(t,r,d),a=t[i],o=a.upperIds,s=o[o.length-1];a.upperIds=[s],t.splice(i+1,0,new 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o&gt;0&amp;&amp;n(t,e,a)&gt;0?1:-1;if(h&lt;0)return o&gt;0||n(t,e,a)&gt;0?1:-1;var d=n(t,e,a);return d&gt;0?1:l(t,e,r)?1:-1};var n=t(&quot;robust-orientation&quot;),i=t(&quot;signum&quot;),a=t(&quot;two-sum&quot;),o=t(&quot;robust-product&quot;),s=t(&quot;robust-sum&quot;);function l(t,e,r){var n=a(t[0],-e[0]),i=a(t[1],-e[1]),l=a(r[0],-e[0]),u=a(r[1],-e[1]),c=s(o(n,l),o(i,u));return c[c.length-1]&gt;=0}},{&quot;robust-orientation&quot;:322,&quot;robust-product&quot;:323,&quot;robust-sum&quot;:327,signum:328,&quot;two-sum&quot;:347}],70:[function(t,e,r){e.exports=function(t,e){var r=t.length,a=t.length-e.length;if(a)return a;switch(r){case 0:return 0;case 1:return t[0]-e[0];case 2:return t[0]+t[1]-e[0]-e[1]||n(t[0],t[1])-n(e[0],e[1]);case 3:var o=t[0]+t[1],s=e[0]+e[1];if(a=o+t[2]-(s+e[2]))return a;var l=n(t[0],t[1]),u=n(e[0],e[1]);return n(l,t[2])-n(u,e[2])||n(l+t[2],o)-n(u+e[2],s);case 4:var c=t[0],f=t[1],h=t[2],d=t[3],p=e[0],g=e[1],v=e[2],m=e[3];return c+f+h+d-(p+g+v+m)||n(c,f,h,d)-n(p,g,v,m,p)||n(c+f,c+h,c+d,f+h,f+d,h+d)-n(p+g,p+v,p+m,g+v,g+m,v+m)||n(c+f+h,c+f+d,c+h+d,f+h+d)-n(p+g+v,p+g+m,p+v+m,g+v+m);default:for(var y=t.slice().sort(i),b=e.slice().sort(i),x=0;x&lt;r;++x)if(a=y[x]-b[x])return a;return 0}};var n=Math.min;function i(t,e){return t-e}},{}],71:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;compare-cell&quot;),i=t(&quot;cell-orientation&quot;);e.exports=function(t,e){return n(t,e)||i(t)-i(e)}},{&quot;cell-orientation&quot;:55,&quot;compare-cell&quot;:70}],72:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/ch1d&quot;),i=t(&quot;./lib/ch2d&quot;),a=t(&quot;./lib/chnd&quot;);e.exports=function(t){var e=t.length;if(0===e)return[];if(1===e)return[[0]];var r=t[0].length;if(0===r)return[];if(1===r)return n(t);if(2===r)return i(t);return a(t,r)}},{&quot;./lib/ch1d&quot;:73,&quot;./lib/ch2d&quot;:74,&quot;./lib/chnd&quot;:75}],73:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0,r=0,n=1;n&lt;t.length;++n)t[n][0]&lt;t[e][0]&amp;&amp;(e=n),t[n][0]&gt;t[r][0]&amp;&amp;(r=n);return e&lt;r?[[e],[r]]:e&gt;r?[[r],[e]]:[[e]]}},{}],74:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=n(t),r=e.length;if(r&lt;=2)return[];for(var i=new Array(r),a=e[r-1],o=0;o&lt;r;++o){var s=e[o];i[o]=[a,s],a=s}return i};var n=t(&quot;monotone-convex-hull-2d&quot;)},{&quot;monotone-convex-hull-2d&quot;:270}],75:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){try{return n(t,!0)}catch(s){var r=i(t);if(r.length&lt;=e)return[];var a=function(t,e){for(var r=t.length,n=new Array(r),i=0;i&lt;e.length;++i)n[i]=t[e[i]];for(var a=e.length,i=0;i&lt;r;++i)e.indexOf(i)&lt;0&amp;&amp;(n[a++]=t[i]);return n}(t,r),o=n(a,!0);return function(t,e){for(var r=t.length,n=e.length,i=0;i&lt;r;++i)for(var a=t[i],o=0;o&lt;a.length;++o){var s=a[o];if(s&lt;n)a[o]=e[s];else{s-=n;for(var l=0;l&lt;n;++l)s&gt;=e[l]&amp;&amp;(s+=1);a[o]=s}}return t}(o,r)}};var n=t(&quot;incremental-convex-hull&quot;),i=t(&quot;affine-hull&quot;)},{&quot;affine-hull&quot;:13,&quot;incremental-convex-hull&quot;:254}],76:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n,i,a){var o=i-1,s=i*i,l=o*o,u=(1+2*i)*l,c=i*l,f=s*(3-2*i),h=s*o;if(t.length){a||(a=new Array(t.length));for(var d=t.length-1;d&gt;=0;--d)a[d]=u*t[d]+c*e[d]+f*r[d]+h*n[d];return a}return u*t+c*e+f*r+h*n},e.exports.derivative=function(t,e,r,n,i,a){var o=6*i*i-6*i,s=3*i*i-4*i+1,l=-6*i*i+6*i,u=3*i*i-2*i;if(t.length){a||(a=new Array(t.length));for(var c=t.length-1;c&gt;=0;--c)a[c]=o*t[c]+s*e[c]+l*r[c]+u*n[c];return a}return o*t+s*e+l*r[c]+u*n}},{}],77:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/thunk.js&quot;);function i(){this.argTypes=[],this.shimArgs=[],this.arrayArgs=[],this.arrayBlockIndices=[],this.scalarArgs=[],this.offsetArgs=[],this.offsetArgIndex=[],this.indexArgs=[],this.shapeArgs=[],this.funcName=&quot;&quot;,this.pre=null,this.body=null,this.post=null,this.debug=!1}e.exports=function(t){var e=new i;e.pre=t.pre,e.body=t.body,e.post=t.post;var r=t.args.slice(0);e.argTypes=r;for(var a=0;a&lt;r.length;++a){var o=r[a];if(&quot;array&quot;===o||&quot;object&quot;==typeof o&amp;&amp;o.blockIndices){if(e.argTypes[a]=&quot;array&quot;,e.arrayArgs.push(a),e.arrayBlockIndices.push(o.blockIndices?o.blockIndices:0),e.shimArgs.push(&quot;array&quot;+a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array args&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array args&quot;)}else if(&quot;scalar&quot;===o)e.scalarArgs.push(a),e.shimArgs.push(&quot;scalar&quot;+a);else if(&quot;index&quot;===o){if(e.indexArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].count&gt;0)throw new Error(&quot;cwise: pre() block may not reference array index&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array index&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].count&gt;0)throw new Error(&quot;cwise: post() block may not reference array index&quot;)}else if(&quot;shape&quot;===o){if(e.shapeArgs.push(a),a&lt;e.pre.args.length&amp;&amp;e.pre.args[a].lvalue)throw new Error(&quot;cwise: pre() block may not write to array shape&quot;);if(a&lt;e.body.args.length&amp;&amp;e.body.args[a].lvalue)throw new Error(&quot;cwise: body() block may not write to array shape&quot;);if(a&lt;e.post.args.length&amp;&amp;e.post.args[a].lvalue)throw new Error(&quot;cwise: post() block may not write to array shape&quot;)}else{if(&quot;object&quot;!=typeof o||!o.offset)throw new Error(&quot;cwise: Unknown argument type &quot;+r[a]);e.argTypes[a]=&quot;offset&quot;,e.offsetArgs.push({array:o.array,offset:o.offset}),e.offsetArgIndex.push(a)}}if(e.arrayArgs.length&lt;=0)throw new Error(&quot;cwise: No array arguments specified&quot;);if(e.pre.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in pre() block&quot;);if(e.body.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in body() block&quot;);if(e.post.args.length&gt;r.length)throw new Error(&quot;cwise: Too many arguments in post() block&quot;);return e.debug=!!t.printCode||!!t.debug,e.funcName=t.funcName||&quot;cwise&quot;,e.blockSize=t.blockSize||64,n(e)}},{&quot;./lib/thunk.js&quot;:79}],78:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;uniq&quot;);function i(t,e,r){var n,i,a=t.length,o=e.arrayArgs.length,s=e.indexArgs.length&gt;0,l=[],u=[],c=0,f=0;for(n=0;n&lt;a;++n)u.push([&quot;i&quot;,n,&quot;=0&quot;].join(&quot;&quot;));for(i=0;i&lt;o;++i)for(n=0;n&lt;a;++n)f=c,c=t[n],0===n?u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=t&quot;,i,&quot;p&quot;,c].join(&quot;&quot;)):u.push([&quot;d&quot;,i,&quot;s&quot;,n,&quot;=(t&quot;,i,&quot;p&quot;,c,&quot;-s&quot;,f,&quot;*t&quot;,i,&quot;p&quot;,f,&quot;)&quot;].join(&quot;&quot;));for(u.length&gt;0&amp;&amp;l.push(&quot;var &quot;+u.join(&quot;,&quot;)),n=a-1;n&gt;=0;--n)c=t[n],l.push([&quot;for(i&quot;,n,&quot;=0;i&quot;,n,&quot;&lt;s&quot;,c,&quot;;++i&quot;,n,&quot;){&quot;].join(&quot;&quot;));for(l.push(r),n=0;n&lt;a;++n){for(f=c,c=t[n],i=0;i&lt;o;++i)l.push([&quot;p&quot;,i,&quot;+=d&quot;,i,&quot;s&quot;,n].join(&quot;&quot;));s&amp;&amp;(n&gt;0&amp;&amp;l.push([&quot;index[&quot;,f,&quot;]-=s&quot;,f].join(&quot;&quot;)),l.push([&quot;++index[&quot;,c,&quot;]&quot;].join(&quot;&quot;))),l.push(&quot;}&quot;)}return l.join(&quot;\\n&quot;)}function a(t,e,r){for(var n=t.body,i=[],a=[],o=0;o&lt;t.args.length;++o){var s=t.args[o];if(!(s.count&lt;=0)){var l=new RegExp(s.name,&quot;g&quot;),u=&quot;&quot;,c=e.arrayArgs.indexOf(o);switch(e.argTypes[o]){case&quot;offset&quot;:var f=e.offsetArgIndex.indexOf(o);c=e.offsetArgs[f].array,u=&quot;+q&quot;+f;case&quot;array&quot;:u=&quot;p&quot;+c+u;var h=&quot;l&quot;+o,d=&quot;a&quot;+c;if(0===e.arrayBlockIndices[c])1===s.count?&quot;generic&quot;===r[c]?s.lvalue?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):n=n.replace(l,[d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)):n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)):&quot;generic&quot;===r[c]?(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;.get(&quot;,u,&quot;)&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;.set(&quot;,u,&quot;,&quot;,h,&quot;)&quot;].join(&quot;&quot;))):(i.push([&quot;var &quot;,h,&quot;=&quot;,d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;)),n=n.replace(l,h),s.lvalue&amp;&amp;a.push([d,&quot;[&quot;,u,&quot;]=&quot;,h].join(&quot;&quot;)));else{for(var p=[s.name],g=[u],v=0;v&lt;Math.abs(e.arrayBlockIndices[c]);v++)p.push(&quot;\\\\s*\\\\[([^\\\\]]+)\\\\]&quot;),g.push(&quot;$&quot;+(v+1)+&quot;*t&quot;+c+&quot;b&quot;+v);if(l=new RegExp(p.join(&quot;&quot;),&quot;g&quot;),u=g.join(&quot;+&quot;),&quot;generic&quot;===r[c])throw new Error(&quot;cwise: Generic arrays not supported in combination with blocks!&quot;);n=n.replace(l,[d,&quot;[&quot;,u,&quot;]&quot;].join(&quot;&quot;))}break;case&quot;scalar&quot;:n=n.replace(l,&quot;Y&quot;+e.scalarArgs.indexOf(o));break;case&quot;index&quot;:n=n.replace(l,&quot;index&quot;);break;case&quot;shape&quot;:n=n.replace(l,&quot;shape&quot;)}}}return[i.join(&quot;\\n&quot;),n,a.join(&quot;\\n&quot;)].join(&quot;\\n&quot;).trim()}e.exports=function(t,e){for(var r=e[1].length-Math.abs(t.arrayBlockIndices[0])|0,o=new Array(t.arrayArgs.length),s=new Array(t.arrayArgs.length),l=0;l&lt;t.arrayArgs.length;++l)s[l]=e[2*l],o[l]=e[2*l+1];var u=[],c=[],f=[],h=[],d=[];for(l=0;l&lt;t.arrayArgs.length;++l){t.arrayBlockIndices[l]&lt;0?(f.push(0),h.push(r),u.push(r),c.push(r+t.arrayBlockIndices[l])):(f.push(t.arrayBlockIndices[l]),h.push(t.arrayBlockIndices[l]+r),u.push(0),c.push(t.arrayBlockIndices[l]));for(var p=[],g=0;g&lt;o[l].length;g++)f[l]&lt;=o[l][g]&amp;&amp;o[l][g]&lt;h[l]&amp;&amp;p.push(o[l][g]-f[l]);d.push(p)}var v=[&quot;SS&quot;],m=[&quot;&#x27;use strict&#x27;&quot;],y=[];for(g=0;g&lt;r;++g)y.push([&quot;s&quot;,g,&quot;=SS[&quot;,g,&quot;]&quot;].join(&quot;&quot;));for(l=0;l&lt;t.arrayArgs.length;++l){for(v.push(&quot;a&quot;+l),v.push(&quot;t&quot;+l),v.push(&quot;p&quot;+l),g=0;g&lt;r;++g)y.push([&quot;t&quot;,l,&quot;p&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,f[l]+g,&quot;]&quot;].join(&quot;&quot;));for(g=0;g&lt;Math.abs(t.arrayBlockIndices[l]);++g)y.push([&quot;t&quot;,l,&quot;b&quot;,g,&quot;=t&quot;,l,&quot;[&quot;,u[l]+g,&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.scalarArgs.length;++l)v.push(&quot;Y&quot;+l);if(t.shapeArgs.length&gt;0&amp;&amp;y.push(&quot;shape=SS.slice(0)&quot;),t.indexArgs.length&gt;0){var b=new Array(r);for(l=0;l&lt;r;++l)b[l]=&quot;0&quot;;y.push([&quot;index=[&quot;,b.join(&quot;,&quot;),&quot;]&quot;].join(&quot;&quot;))}for(l=0;l&lt;t.offsetArgs.length;++l){var x=t.offsetArgs[l],_=[];for(g=0;g&lt;x.offset.length;++g)0!==x.offset[g]&amp;&amp;(1===x.offset[g]?_.push([&quot;t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)):_.push([x.offset[g],&quot;*t&quot;,x.array,&quot;p&quot;,g].join(&quot;&quot;)));0===_.length?y.push(&quot;q&quot;+l+&quot;=0&quot;):y.push([&quot;q&quot;,l,&quot;=&quot;,_.join(&quot;+&quot;)].join(&quot;&quot;))}var w=n([].concat(t.pre.thisVars).concat(t.body.thisVars).concat(t.post.thisVars));for((y=y.concat(w)).length&gt;0&amp;&amp;m.push(&quot;var &quot;+y.join(&quot;,&quot;)),l=0;l&lt;t.arrayArgs.length;++l)m.push(&quot;p&quot;+l+&quot;|=0&quot;);t.pre.body.length&gt;3&amp;&amp;m.push(a(t.pre,t,s));var A=a(t.body,t,s),M=function(t){for(var e=0,r=t[0].length;e&lt;r;){for(var n=1;n&lt;t.length;++n)if(t[n][e]!==t[0][e])return e;++e}return e}(d);M&lt;r?m.push(function(t,e,r,n){for(var a=e.length,o=r.arrayArgs.length,s=r.blockSize,l=r.indexArgs.length&gt;0,u=[],c=0;c&lt;o;++c)u.push([&quot;var offset&quot;,c,&quot;=p&quot;,c].join(&quot;&quot;));for(c=t;c&lt;a;++c)u.push([&quot;for(var j&quot;+c+&quot;=SS[&quot;,e[c],&quot;]|0;j&quot;,c,&quot;&gt;0;){&quot;].join(&quot;&quot;)),u.push([&quot;if(j&quot;,c,&quot;&lt;&quot;,s,&quot;){&quot;].join(&quot;&quot;)),u.push([&quot;s&quot;,e[c],&quot;=j&quot;,c].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;=0&quot;].join(&quot;&quot;)),u.push([&quot;}else{s&quot;,e[c],&quot;=&quot;,s].join(&quot;&quot;)),u.push([&quot;j&quot;,c,&quot;-=&quot;,s,&quot;}&quot;].join(&quot;&quot;)),l&amp;&amp;u.push([&quot;index[&quot;,e[c],&quot;]=j&quot;,c].join(&quot;&quot;));for(c=0;c&lt;o;++c){for(var f=[&quot;offset&quot;+c],h=t;h&lt;a;++h)f.push([&quot;j&quot;,h,&quot;*t&quot;,c,&quot;p&quot;,e[h]].join(&quot;&quot;));u.push([&quot;p&quot;,c,&quot;=(&quot;,f.join(&quot;+&quot;),&quot;)&quot;].join(&quot;&quot;))}for(u.push(i(e,r,n)),c=t;c&lt;a;++c)u.push(&quot;}&quot;);return 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n=0;n&lt;this.dimension;++n)this.bounds[0][n]=-1/0,this.bounds[1][n]=1/0;this._state=t.slice().reverse(),this._velocity=e.slice().reverse(),this._time=[r],this._scratch=[t.slice(),t.slice(),t.slice(),t.slice(),t.slice()]}var s=o.prototype;function l(t){for(var e=new Array(t),r=0;r&lt;t;++r)e[r]=0;return e}s.flush=function(t){var e=i.gt(this._time,t)-1;e&lt;=0||(this._time.splice(0,e),this._state.splice(0,e*this.dimension),this._velocity.splice(0,e*this.dimension))},s.curve=function(t){var e=this._time,r=e.length,o=i.le(e,t),s=this._scratch[0],l=this._state,u=this._velocity,c=this.dimension,f=this.bounds;if(o&lt;0)for(var h=c-1,d=0;d&lt;c;++d,--h)s[d]=l[h];else if(o&gt;=r-1){h=l.length-1;var p=t-e[r-1];for(d=0;d&lt;c;++d,--h)s[d]=l[h]+p*u[h]}else{h=c*(o+1)-1;var g=e[o],v=e[o+1]-g||1,m=this._scratch[1],y=this._scratch[2],b=this._scratch[3],x=this._scratch[4],_=!0;for(d=0;d&lt;c;++d,--h)m[d]=l[h],b[d]=u[h]*v,y[d]=l[h+c],x[d]=u[h+c]*v,_=_&amp;&amp;m[d]===y[d]&amp;&amp;b[d]===x[d]&amp;&amp;0===b[d];if(_)for(d=0;d&lt;c;++d)s[d]=m[d];else n(m,b,y,x,(t-g)/v,s)}var w=f[0],A=f[1];for(d=0;d&lt;c;++d)s[d]=a(w[d],A[d],s[d]);return s},s.dcurve=function(t){var e=this._time,r=e.length,a=i.le(e,t),o=this._scratch[0],s=this._state,l=this._velocity,u=this.dimension;if(a&gt;=r-1)for(var c=s.length-1,f=(e[r-1],0);f&lt;u;++f,--c)o[f]=l[c];else{c=u*(a+1)-1;var h=e[a],d=e[a+1]-h||1,p=this._scratch[1],g=this._scratch[2],v=this._scratch[3],m=this._scratch[4],y=!0;for(f=0;f&lt;u;++f,--c)p[f]=s[c],v[f]=l[c]*d,g[f]=s[c+u],m[f]=l[c+u]*d,y=y&amp;&amp;p[f]===g[f]&amp;&amp;v[f]===m[f]&amp;&amp;0===v[f];if(y)for(f=0;f&lt;u;++f)o[f]=0;else{n.derivative(p,v,g,m,(t-h)/d,o);for(f=0;f&lt;u;++f)o[f]/=d}}return o},s.lastT=function(){var t=this._time;return t[t.length-1]},s.stable=function(){for(var t=this._velocity,e=t.length,r=this.dimension-1;r&gt;=0;--r)if(t[--e])return!1;return!0},s.jump=function(t){var e=this.lastT(),r=this.dimension;if(!(t&lt;e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],u=s[1];this._time.push(e,t);for(var c=0;c&lt;2;++c)for(var f=0;f&lt;r;++f)n.push(n[o++]),i.push(0);this._time.push(t);for(f=r;f&gt;0;--f)n.push(a(l[f-1],u[f-1],arguments[f])),i.push(0)}},s.push=function(t){var e=this.lastT(),r=this.dimension;if(!(t&lt;e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=t-e,l=this.bounds,u=l[0],c=l[1],f=s&gt;1e-6?1/s:0;this._time.push(t);for(var h=r;h&gt;0;--h){var d=a(u[h-1],c[h-1],arguments[h]);n.push(d),i.push((d-n[o++])*f)}}},s.set=function(t){var e=this.dimension;if(!(t&lt;this.lastT()||arguments.length!==e+1)){var r=this._state,n=this._velocity,i=this.bounds,o=i[0],s=i[1];this._time.push(t);for(var 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new a(t,e.key,e.value,e.left,e.right,e._count)}function l(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function u(t,e){this._compare=t,this.root=e}var c=u.prototype;function f(t,e){this.tree=t,this._stack=e}Object.defineProperty(c,&quot;keys&quot;,{get:function(){var t=[];return this.forEach(function(e,r){t.push(e)}),t}}),Object.defineProperty(c,&quot;values&quot;,{get:function(){var t=[];return this.forEach(function(e,r){t.push(r)}),t}}),Object.defineProperty(c,&quot;length&quot;,{get:function(){return this.root?this.root._count:0}}),c.insert=function(t,e){for(var r=this._compare,o=this.root,c=[],f=[];o;){var h=r(t,o.key);c.push(o),f.push(h),o=h&lt;=0?o.left:o.right}c.push(new a(n,t,e,null,null,1));for(var d=c.length-2;d&gt;=0;--d){o=c[d];f[d]&lt;=0?c[d]=new a(o._color,o.key,o.value,c[d+1],o.right,o._count+1):c[d]=new a(o._color,o.key,o.value,o.left,c[d+1],o._count+1)}for(d=c.length-1;d&gt;1;--d){var p=c[d-1];o=c[d];if(p._color===i||o._color===i)break;var g=c[d-2];if(g.left===p)if(p.left===o){if(!(v=g.right)||v._color!==n){if(g._color=n,g.left=p.right,p._color=i,p.right=g,c[d-2]=p,c[d-1]=o,l(g),l(p),d&gt;=3)(m=c[d-3]).left===g?m.left=p:m.right=p;break}p._color=i,g.right=s(i,v),g._color=n,d-=1}else{if(!(v=g.right)||v._color!==n){if(p.right=o.left,g._color=n,g.left=o.right,o._color=i,o.left=p,o.right=g,c[d-2]=o,c[d-1]=p,l(g),l(p),l(o),d&gt;=3)(m=c[d-3]).left===g?m.left=o:m.right=o;break}p._color=i,g.right=s(i,v),g._color=n,d-=1}else if(p.right===o){if(!(v=g.left)||v._color!==n){if(g._color=n,g.right=p.left,p._color=i,p.left=g,c[d-2]=p,c[d-1]=o,l(g),l(p),d&gt;=3)(m=c[d-3]).right===g?m.right=p:m.left=p;break}p._color=i,g.left=s(i,v),g._color=n,d-=1}else{var v;if(!(v=g.left)||v._color!==n){var m;if(p.left=o.right,g._color=n,g.right=o.left,o._color=i,o.right=p,o.left=g,c[d-2]=o,c[d-1]=p,l(g),l(p),l(o),d&gt;=3)(m=c[d-3]).right===g?m.right=o:m.left=o;break}p._color=i,g.left=s(i,v),g._color=n,d-=1}}return c[0]._color=i,new u(r,c[0])},c.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return function t(e,r){var n;if(r.left&amp;&amp;(n=t(e,r.left)))return n;return(n=e(r.key,r.value))||(r.right?t(e,r.right):void 0)}(t,this.root);case 2:return function t(e,r,n,i){if(r(e,i.key)&lt;=0){var a;if(i.left&amp;&amp;(a=t(e,r,n,i.left)))return a;if(a=n(i.key,i.value))return a}if(i.right)return t(e,r,n,i.right)}(e,this._compare,t,this.root);case 3:if(this._compare(e,r)&gt;=0)return;return function t(e,r,n,i,a){var o,s=n(e,a.key),l=n(r,a.key);if(s&lt;=0){if(a.left&amp;&amp;(o=t(e,r,n,i,a.left)))return o;if(l&gt;0&amp;&amp;(o=i(a.key,a.value)))return o}if(l&gt;0&amp;&amp;a.right)return t(e,r,n,i,a.right)}(e,r,this._compare,t,this.root)}},Object.defineProperty(c,&quot;begin&quot;,{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new f(this,t)}}),Object.defineProperty(c,&quot;end&quot;,{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new f(this,t)}}),c.at=function(t){if(t&lt;0)return new f(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t&lt;e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new f(this,r);if(t-=1,!e.right)break;if(t&gt;=e.right._count)break;e=e.right}return new f(this,[])},c.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;=0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&lt;0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;0&amp;&amp;(i=n.length),r=a&lt;=0?r.left:r.right}return n.length=i,new f(this,n)},c.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a&gt;=0&amp;&amp;(i=n.length),r=a&lt;0?r.left:r.right}return n.length=i,new f(this,n)},c.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new f(this,n);r=i&lt;=0?r.left:r.right}return new f(this,[])},c.remove=function(t){var e=this.find(t);return e?e.remove():this},c.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n&lt;=0?r.left:r.right}};var h=f.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t&lt;e?-1:t&gt;e?1:0}Object.defineProperty(h,&quot;valid&quot;,{get:function(){return this._stack.length&gt;0}}),Object.defineProperty(h,&quot;node&quot;,{get:function(){return this._stack.length&gt;0?this._stack[this._stack.length-1]:null},enumerable:!0}),h.clone=function(){return new f(this.tree,this._stack.slice())},h.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new a(r._color,r.key,r.value,r.left,r.right,r._count);for(var c=t.length-2;c&gt;=0;--c){(r=t[c]).left===t[c+1]?e[c]=new a(r._color,r.key,r.value,e[c+1],r.right,r._count):e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count)}if((r=e[e.length-1]).left&amp;&amp;r.right){var f=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var h=e[f-1];e.push(new a(r._color,h.key,h.value,r.left,r.right,r._count)),e[f-1].key=r.key,e[f-1].value=r.value;for(c=e.length-2;c&gt;=f;--c)r=e[c],e[c]=new a(r._color,r.key,r.value,r.left,e[c+1],r._count);e[f-1].left=e[f]}if((r=e[e.length-1])._color===n){var p=e[e.length-2];p.left===r?p.left=null:p.right===r&amp;&amp;(p.right=null),e.pop();for(c=0;c&lt;e.length;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&amp;&amp;d(r,r.right),r._color=i;for(c=0;c&lt;e.length-1;++c)e[c]._count--;return new u(this.tree._compare,e[0])}if(1===e.length)return new u(this.tree._compare,null);for(c=0;c&lt;e.length;++c)e[c]._count--;var g=e[e.length-2];return function(t){for(var e,r,a,u,c=t.length-1;c&gt;=0;--c){if(e=t[c],0===c)return void(e._color=i);if((r=t[c-1]).left===e){if((a=r.right).right&amp;&amp;a.right._color===n)return u=(a=r.right=o(a)).right=o(a.right),r.right=a.left,a.left=r,a.right=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),void(t[c-1]=a);if(a.left&amp;&amp;a.left._color===n)return u=(a=r.right=o(a)).left=o(a.left),r.right=u.left,a.left=u.right,u.left=r,u.right=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=u:f.right=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.right=s(n,a));r.right=s(n,a);continue}a=o(a),r.right=a.left,a.left=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).left===r?f.left=a:f.right=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}else{if((a=r.left).left&amp;&amp;a.left._color===n)return u=(a=r.left=o(a)).left=o(a.left),r.left=a.right,a.right=r,a.left=u,a._color=r._color,e._color=i,r._color=i,u._color=i,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),void(t[c-1]=a);if(a.right&amp;&amp;a.right._color===n)return u=(a=r.left=o(a)).right=o(a.right),r.left=u.right,a.right=u.left,u.right=r,u.left=a,u._color=r._color,r._color=i,a._color=i,e._color=i,l(r),l(a),l(u),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=u:f.left=u),void(t[c-1]=u);if(a._color===i){if(r._color===n)return r._color=i,void(r.left=s(n,a));r.left=s(n,a);continue}var f;a=o(a),r.left=a.right,a.right=r,a._color=r._color,r._color=n,l(r),l(a),c&gt;1&amp;&amp;((f=t[c-2]).right===r?f.right=a:f.left=a),t[c-1]=a,t[c]=r,c+1&lt;t.length?t[c+1]=e:t.push(e),c+=2}}}(e),g.left===r?g.left=null:g.right=null,new u(this.tree._compare,e[0])},Object.defineProperty(h,&quot;key&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,&quot;value&quot;,{get:function(){if(this._stack.length&gt;0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,&quot;index&quot;,{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&amp;&amp;(t=e[e.length-1].left._count);for(var n=e.length-2;n&gt;=0;--n)e[n+1]===e[n].right&amp;&amp;(++t,e[n].left&amp;&amp;(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasNext&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var e=this._stack;if(0===e.length)throw new Error(&quot;Can&#x27;t update empty node!&quot;);var r=new Array(e.length),n=e[e.length-1];r[r.length-1]=new a(n._color,n.key,t,n.left,n.right,n._count);for(var i=e.length-2;i&gt;=0;--i)(n=e[i]).left===e[i+1]?r[i]=new a(n._color,n.key,n.value,r[i+1],n.right,n._count):r[i]=new a(n._color,n.key,n.value,n.left,r[i+1],n._count);return new u(this.tree._compare,r[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length&gt;0&amp;&amp;t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,&quot;hasPrev&quot;,{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e&gt;0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],93:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=607/128,a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function o(t){if(t&lt;0)return Number(&quot;0/0&quot;);for(var e=a[0],r=a.length-1;r&gt;0;--r)e+=a[r]/(t+r);var n=t+i+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e&lt;.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e&gt;100)return Math.exp(o(e));e-=1;for(var r=n[0],i=1;i&lt;9;i++)r+=n[i]/(e+i);var a=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(a,e+.5)*Math.exp(-a)*r},e.exports.log=o},{}],94:[function(t,e,r){e.exports=function(t,e){if(&quot;string&quot;!=typeof t)throw new TypeError(&quot;must specify type string&quot;);if(e=e||{},&quot;undefined&quot;==typeof document&amp;&amp;!e.canvas)return null;var r=e.canvas||document.createElement(&quot;canvas&quot;);&quot;number&quot;==typeof e.width&amp;&amp;(r.width=e.width);&quot;number&quot;==typeof e.height&amp;&amp;(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(&quot;webgl&quot;)&amp;&amp;a.push(&quot;experimental-&quot;+t);for(var o=0;o&lt;a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],95:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=t(&quot;./lib/text.js&quot;),i=t(&quot;./lib/lines.js&quot;),a=t(&quot;./lib/background.js&quot;),o=t(&quot;./lib/cube.js&quot;),s=t(&quot;./lib/ticks.js&quot;),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=&quot;sans-serif&quot;,this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[&quot;auto&quot;,&quot;auto&quot;,&quot;auto&quot;],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&amp;&amp;Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s&lt;3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),c=!1,f=!1;if(&quot;bounds&quot;in t)for(var h=t.bounds,d=0;d&lt;2;++d)for(var p=0;p&lt;3;++p)h[d][p]!==this.bounds[d][p]&amp;&amp;(f=!0),this.bounds[d][p]=h[d][p];if(&quot;ticks&quot;in t){r=t.ticks,c=!0,this.autoTicks=!1;for(d=0;d&lt;3;++d)this.tickSpacing[d]=0}else a(&quot;tickSpacing&quot;)&amp;&amp;(this.autoTicks=!0,f=!0);if(this._firstInit&amp;&amp;(&quot;ticks&quot;in t||&quot;tickSpacing&quot;in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&amp;&amp;this.autoTicks&amp;&amp;(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(d=0;d&lt;3;++d)r[d].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?c=!1:this.ticks=r}o(&quot;tickEnable&quot;),l(&quot;tickFont&quot;)&amp;&amp;(c=!0),a(&quot;tickSize&quot;),a(&quot;tickAngle&quot;),a(&quot;tickPad&quot;),u(&quot;tickColor&quot;);var g=l(&quot;labels&quot;);l(&quot;labelFont&quot;)&amp;&amp;(g=!0),o(&quot;labelEnable&quot;),a(&quot;labelSize&quot;),a(&quot;labelPad&quot;),u(&quot;labelColor&quot;),o(&quot;lineEnable&quot;),o(&quot;lineMirror&quot;),a(&quot;lineWidth&quot;),u(&quot;lineColor&quot;),o(&quot;lineTickEnable&quot;),o(&quot;lineTickMirror&quot;),a(&quot;lineTickLength&quot;),a(&quot;lineTickWidth&quot;),u(&quot;lineTickColor&quot;),o(&quot;gridEnable&quot;),a(&quot;gridWidth&quot;),u(&quot;gridColor&quot;),o(&quot;zeroEnable&quot;),u(&quot;zeroLineColor&quot;),a(&quot;zeroLineWidth&quot;),o(&quot;backgroundEnable&quot;),u(&quot;backgroundColor&quot;),this._text?this._text&amp;&amp;(g||c)&amp;&amp;this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&amp;&amp;c&amp;&amp;(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var d=[new h,new h,new h];function p(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c&lt;3;++c)if(e!==c){var f=a,h=s,d=o,p=l;u&amp;1&lt;&lt;c&amp;&amp;(f=s,h=a,d=l,p=o),f[c]=r[0][c],h[c]=r[1][c],i[c]&gt;0?(d[c]=-1,p[c]=0):(d[c]=0,p[c]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],b=[0,0,0];f.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,x=n[12],_=n[13],w=n[14],A=n[15],M=(s?2:1)*this.pixelRatio*(i[3]*x+i[7]*_+i[11]*w+i[15]*A)/e.drawingBufferHeight,T=0;T&lt;3;++T)this.lastCubeProps.cubeEdges[T]=f[T],this.lastCubeProps.axis[T]=h[T];var k=d;for(T=0;T&lt;3;++T)p(d[T],T,this.bounds,f,h);e=this.gl;var E,L=g;for(T=0;T&lt;3;++T)this.backgroundEnable[T]?L[T]=h[T]:L[T]=0;this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this);for(T=0;T&lt;3;++T){var S=[0,0,0];h[T]&gt;0?S[T]=a[1][T]:S[T]=a[0][T];for(var C=0;C&lt;2;++C){var O=(T+1+C)%3,R=(T+1+(1^C))%3;this.gridEnable[O]&amp;&amp;this._lines.drawGrid(O,R,this.bounds,S,this.gridColor[O],this.gridWidth[O]*this.pixelRatio)}for(C=0;C&lt;2;++C){O=(T+1+C)%3,R=(T+1+(1^C))%3;this.zeroEnable[R]&amp;&amp;Math.min(a[0][R],a[1][R])&lt;=0&amp;&amp;Math.max(a[0][R],a[1][R])&gt;=0&amp;&amp;this._lines.drawZero(O,R,this.bounds,S,this.zeroLineColor[R],this.zeroLineWidth[R]*this.pixelRatio)}}for(T=0;T&lt;3;++T){this.lineEnable[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].primalOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio),this.lineMirror[T]&amp;&amp;this._lines.drawAxisLine(T,this.bounds,k[T].mirrorOffset,this.lineColor[T],this.lineWidth[T]*this.pixelRatio);var P=u(m,k[T].primalMinor),z=u(y,k[T].mirrorMinor),I=this.lineTickLength;for(C=0;C&lt;3;++C){var N=M/r[5*C];P[C]*=I[C]*N,z[C]*=I[C]*N}this.lineTickEnable[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].primalOffset,P,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio),this.lineTickMirror[T]&amp;&amp;this._lines.drawAxisTicks(T,k[T].mirrorOffset,z,this.lineTickColor[T],this.lineTickWidth[T]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var D,F;function j(t){(F=[0,0,0])[t]=1}function B(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a&gt;0&amp;&amp;l&gt;0?j(n):a&gt;0&amp;&amp;l&lt;0?j(n):a&lt;0&amp;&amp;l&gt;0?j(n):a&lt;0&amp;&amp;l&lt;0?j(n):o&gt;0&amp;&amp;s&gt;0?j(i):o&gt;0&amp;&amp;s&lt;0?j(i):o&lt;0&amp;&amp;s&gt;0?j(i):o&lt;0&amp;&amp;s&lt;0&amp;&amp;j(i)}for(T=0;T&lt;3;++T){var U=k[T].primalMinor,V=k[T].mirrorMinor,H=u(b,k[T].primalOffset);for(C=0;C&lt;3;++C)this.lineTickEnable[T]&amp;&amp;(H[C]+=M*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[T]=1,this.tickEnable[T]){-3600===this.tickAngle[T]?(this.tickAngle[T]=0,this.tickAlign[T]=&quot;auto&quot;):this.tickAlign[T]=-1,D=1,&quot;auto&quot;===(E=[this.tickAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]),F=[0,0,0],B(T,U,V);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(T,this.tickSize[T],this.tickAngle[T],H,this.tickColor[T],q,F,E)}if(this.labelEnable[T]){D=0,F=[0,0,0],this.labels[T].length&gt;4&amp;&amp;(j(T),D=1),&quot;auto&quot;===(E=[this.labelAlign[T],.5,D])[0]?E[0]=0:E[0]=parseInt(&quot;&quot;+E[0]);for(C=0;C&lt;3;++C)H[C]+=M*U[C]*this.labelPad[C]/r[5*C];H[T]+=.5*(a[0][T]+a[1][T]),this._text.drawLabel(T,this.labelSize[T],this.labelAngle[T],H,this.labelColor[T],[0,0,0],F,E)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{&quot;./lib/background.js&quot;:96,&quot;./lib/cube.js&quot;:97,&quot;./lib/lines.js&quot;:98,&quot;./lib/text.js&quot;:100,&quot;./lib/ticks.js&quot;:101}],96:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=[],r=[],s=0,l=0;l&lt;3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],d=-1;d&lt;=1;d+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=d,h[l]=d;for(var p=-1;p&lt;=1;p+=2){f[u]=p;for(var g=-1;g&lt;=1;g+=2)f[c]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var v=u;u=c,c=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),b=i(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),x=a(t);return x.attributes.position.location=0,x.attributes.normal.location=1,new o(t,m,b,x)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s&lt;3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],97:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,a,d){i(s,e,t),i(s,r,s);for(var y=0,b=0;b&lt;2;++b){c[2]=a[b][2];for(var x=0;x&lt;2;++x){c[1]=a[x][1];for(var _=0;_&lt;2;++_)c[0]=a[_][0],h(l[y],c,s),y+=1}}for(var w=-1,b=0;b&lt;8;++b){for(var A=l[b][3],M=0;M&lt;3;++M)u[b][M]=l[b][M]/A;d&amp;&amp;(u[b][2]*=-1),A&lt;0&amp;&amp;(w&lt;0?w=b:u[b][2]&lt;u[w][2]&amp;&amp;(w=b))}if(w&lt;0){w=0;for(var T=0;T&lt;3;++T){for(var k=(T+2)%3,E=(T+1)%3,L=-1,S=-1,C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E);o(u[O],u[R],u[P],f)&lt;0||(C?L=1:S=1)}if(L&lt;0||S&lt;0)S&gt;L&amp;&amp;(w|=1&lt;&lt;T);else{for(var C=0;C&lt;2;++C){var O=C&lt;&lt;T,R=O+(C&lt;&lt;k)+(1-C&lt;&lt;E),P=O+(1-C&lt;&lt;k)+(C&lt;&lt;E),z=p([l[O],l[R],l[P],l[O+(1&lt;&lt;k)+(1&lt;&lt;E)]]);C?L=z:S=z}S&gt;L&amp;&amp;(w|=1&lt;&lt;T)}}}for(var I=7^w,N=-1,b=0;b&lt;8;++b)b!==w&amp;&amp;b!==I&amp;&amp;(N&lt;0?N=b:u[N][1]&gt;u[b][1]&amp;&amp;(N=b));for(var D=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I){D&lt;0&amp;&amp;(D=F);var E=u[F];E[0]&lt;u[D][0]&amp;&amp;(D=F)}}for(var j=-1,b=0;b&lt;3;++b){var F=N^1&lt;&lt;b;if(F!==w&amp;&amp;F!==I&amp;&amp;F!==D){j&lt;0&amp;&amp;(j=F);var E=u[F];E[0]&gt;u[j][0]&amp;&amp;(j=F)}}var B=g;B[0]=B[1]=B[2]=0,B[n.log2(D^N)]=N&amp;D,B[n.log2(N^j)]=N&amp;j;var U=7^j;U===w||U===I?(U=7^D,B[n.log2(j^U)]=U&amp;j):B[n.log2(D^U)]=U&amp;D;for(var V=v,H=w,T=0;T&lt;3;++T)V[T]=H&amp;1&lt;&lt;T?-1:1;return m};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-mat4/multiply&quot;),a=t(&quot;split-polygon&quot;),o=t(&quot;robust-orientation&quot;),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n&lt;4;++n){t[n]=r[12+n];for(var i=0;i&lt;3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t&lt;8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var d=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function p(t){for(var e=0;e&lt;d.length;++e)if((t=a.positive(t,d[e])).length&lt;3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1&lt;t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{&quot;bit-twiddle&quot;:36,&quot;gl-mat4/multiply&quot;:126,&quot;robust-orientation&quot;:322,&quot;split-polygon&quot;:339}],98:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f&lt;3;++f){for(var h=o.length/3|0,p=0;p&lt;r[f].length;++p){var g=+r[f][p].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[f]=h,l[f]=v-h;for(var h=o.length/3|0,m=0;m&lt;r[f].length;++m){var g=+r[f][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;u[f]=h,c[f]=v-h}var y=n(t,new Float32Array(o)),b=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),x=a(t);return x.attributes.position.location=0,new d(t,y,b,x,l,s,c,u)};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders&quot;).line,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function d(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var p=d.prototype;p.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},p.unbind=function(){this.vao.unbind()},p.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},p.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},p.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var d=h(u,n);d[e]+=r[0][e],this.shader.uniforms.offset=d;var p=f(o);p[t]=1,this.shader.uniforms.majorAxis=p;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},p.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var d=f(l);d[e]=1,this.shader.uniforms.screenAxis=d,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},p.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{&quot;./shaders&quot;:99,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],99:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.line=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a &lt; 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b &gt; HALF_PI) &amp;&amp; (b &lt;= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b &lt; (      ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b &lt; (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b &lt; (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option &gt;  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &amp;&amp;\\n                   (axis.y == 0.0) &amp;&amp;\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) &lt; 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) &lt; 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) &gt; 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}&quot;]);r.text=function(t){return i(t,s,l,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;}])};var u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) &gt; 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}&quot;]);r.bg=function(t){return i(t,u,c,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],100:[function(t,e,r){(function(r){&quot;use strict&quot;;e.exports=function(t,e,r,a,s,l){var c=n(t),f=i(t,[{buffer:c,size:3}]),h=o(t);h.attributes.position.location=0;var d=new u(t,h,c,f);return d.update(e,r,a,s,l),d};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;vectorize-text&quot;),o=t(&quot;./shaders&quot;).text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var c=u.prototype,f=[0,0];c.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},c.unbind=function(){this.vao.unbind()},c.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var u=l[r];u||(u=l[r]={});var c=u[e];c||(c=u[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn(&#x27;error vectorizing text:&quot;&#x27;+t+&#x27;&quot; error:&#x27;,e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,d=c.cells,p=0,g=d.length;p&lt;g;++p)for(var v=d[p],m=2;m&gt;=0;--m){var y=h[v[m]];o.push(f*y[0],-f*y[1],t)}}for(var u=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],d={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},p=0;p&lt;3;++p){f[p]=o.length/3|0,s(.5*(t[0][p]+t[1][p]),e[p],r[p],12,1.25,d),h[p]=(o.length/3|0)-f[p],u[p]=o.length/3|0;for(var g=0;g&lt;n[p].length;++g)n[p][g].text&amp;&amp;s(n[p][g].x,n[p][g].text,n[p][g].font||i,n[p][g].fontSize||12,1.25,d);c[p]=(o.length/3|0)-u[p]}this.buffer.update(o),this.tickOffset=u,this.tickCount=c,this.labelOffset=f,this.labelCount=h},c.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},c.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&amp;&amp;(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},c.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(&quot;_process&quot;))},{&quot;./shaders&quot;:99,_process:308,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168,&quot;vectorize-text&quot;:351}],101:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r=t+&quot;&quot;,n=r.indexOf(&quot;.&quot;),i=0;n&gt;=0&amp;&amp;(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+&quot;&quot;;if(s.indexOf(&quot;e&quot;)&gt;=0)return s;var l=o/a,u=o%a;o&lt;0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=&quot;&quot;+l;if(o&lt;0&amp;&amp;(c=&quot;-&quot;+c),i){for(var f=&quot;&quot;+u;f.length&lt;i;)f=&quot;0&quot;+f;return c+&quot;.&quot;+f}return c}r.create=function(t,e){for(var r=[],i=0;i&lt;3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]&lt;=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(var o=-1;o*e[i]&gt;=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r&lt;3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],102:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,l,f){var h=e.model||u,d=e.view||u,m=e.projection||u,y=e._ortho||!1,b=t.bounds,x=(f=f||a(h,d,m,b,y)).axis;o(c,d,h),o(c,m,c);for(var _=g,w=0;w&lt;3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var A=n(s(c,c));s(c,c);for(var M=0;M&lt;3;++M){var T=(M+1)%3,k=(M+2)%3,E=v;t:for(var w=0;w&lt;2;++w){var L=[];if(x[M]&lt;0!=!!w){E[M]=b[w][M];for(var S=0;S&lt;2;++S){E[T]=b[S^w][T];for(var C=0;C&lt;2;++C)E[k]=b[C^S^w][k],L.push(E.slice())}for(var O=y?5:4,S=O;S===O;++S){if(0===L.length)continue t;L=i.positive(L,A[S])}for(var S=0;S&lt;L.length;++S)for(var k=L[S],R=p(v,c,k,r,l),C=0;C&lt;3;++C)_[C].lo=Math.min(_[C].lo,k[C]),_[C].hi=Math.max(_[C].hi,k[C]),C!==M&amp;&amp;(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(R[C])))}}}return _};var n=t(&quot;extract-frustum-planes&quot;),i=t(&quot;split-polygon&quot;),a=t(&quot;./lib/cube.js&quot;),o=t(&quot;gl-mat4/multiply&quot;),s=t(&quot;gl-mat4/transpose&quot;),l=t(&quot;gl-vec4/transformMat4&quot;),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],d=[0,0,0,1];function p(t,e,r,n,i){for(var a=0;a&lt;3;++a){for(var o=h,s=d,u=0;u&lt;3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]&lt;0&amp;&amp;(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]&lt;0&amp;&amp;(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],v=[0,0,0]},{&quot;./lib/cube.js&quot;:97,&quot;extract-frustum-planes&quot;:89,&quot;gl-mat4/multiply&quot;:126,&quot;gl-mat4/transpose&quot;:135,&quot;gl-vec4/transformMat4&quot;:239,&quot;split-polygon&quot;:339}],103:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;typedarray-pool&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;ndarray&quot;),o=[&quot;uint8&quot;,&quot;uint8_clamped&quot;,&quot;uint16&quot;,&quot;uint32&quot;,&quot;int8&quot;,&quot;int16&quot;,&quot;int32&quot;,&quot;float32&quot;];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a&lt;0)return t.bufferData(e,i,n),o;if(o+a&gt;r)throw new Error(&quot;gl-buffer: If resizing buffer, must not specify offset&quot;);return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a&lt;i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(&quot;number&quot;!=typeof e&amp;&amp;(e=-1),this.bind(),&quot;object&quot;==typeof t&amp;&amp;&quot;undefined&quot;!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)&lt;0&amp;&amp;(r=&quot;float32&quot;),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(&quot;OES_element_index_uint&quot;)&amp;&amp;&quot;uint16&quot;!==r?&quot;uint32&quot;:&quot;uint16&quot;;if(r===t.dtype&amp;&amp;function(t,e){for(var r=1,n=e.length-1;n&gt;=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&amp;&amp;t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,&quot;uint16&quot;):c(t,&quot;float32&quot;),this.length=u(this.gl,this.type,this.length,this.usage,e&lt;0?f:f.subarray(0,t.length),e),n.free(f)}else if(&quot;object&quot;==typeof t&amp;&amp;&quot;number&quot;==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(&quot;number&quot;!=typeof t&amp;&amp;void 0!==t)throw new Error(&quot;gl-buffer: Invalid data type&quot;);if(e&gt;=0)throw new Error(&quot;gl-buffer: Cannot specify offset when resizing buffer&quot;);(t|=0)&lt;=0&amp;&amp;(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&amp;&amp;r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(&quot;gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER&quot;);if(n!==t.DYNAMIC_DRAW&amp;&amp;n!==t.STATIC_DRAW&amp;&amp;n!==t.STREAM_DRAW)throw new Error(&quot;gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW&quot;);var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],104:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=function(t,e){for(var r=0;r&lt;t.length;r++)if(t[r]&gt;=e)return r-1;return r},a=n.create(),o=n.create(),s=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},l=function(t,e,r,l){var u=t[0],c=t[1],f=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=i(r[0],u),v=i(r[1],c),m=i(r[2],f),y=g+1,b=v+1,x=m+1;if(l&amp;&amp;(g=s(g,0,h-1),y=s(y,0,h-1),v=s(v,0,d-1),b=s(b,0,d-1),m=s(m,0,p-1),x=s(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(u-r[0][g])/(r[0][y]-r[0][g]),w=(c-r[1][v])/(r[1][b]-r[1][v]),A=(f-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(a,R,P,_),n.lerp(F,F,a,w),n.lerp(a,z,I,_),n.lerp(o,N,D,_),n.lerp(a,a,o,w),n.lerp(F,F,a,A),F};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;r.length;o++)for(var s=0;s&lt;e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&amp;&amp;(e[0]=[0,0,0],e[1]=[0,0,0]),o;for(var s=0,u=1/0,c=-1/0,f=1/0,h=-1/0,d=1/0,p=-1/0,g=null,v=null,m=[],y=1/0,b=0;b&lt;r.length;b++){var x,_=r[b];u=Math.min(_[0],u),c=Math.max(_[0],c),f=Math.min(_[1],f),h=Math.max(_[1],h),d=Math.min(_[2],d),p=Math.max(_[2],p),x=i?l(_,a,i,!0):a[b],n.length(x)&gt;s&amp;&amp;(s=n.length(x)),b&amp;&amp;(y=Math.min(y,2*n.distance(g,_)/(n.length(v)+n.length(x)))),g=_,v=x,m.push(x)}var w=[u,f,d],A=[c,h,p];e&amp;&amp;(e[0]=w,e[1]=A),0===s&amp;&amp;(s=1);var M=1/s;isFinite(y)&amp;&amp;!isNaN(y)||(y=1),o.vectorScale=y;var T=function(t,e,r){var i=n.create();return void 0!==t&amp;&amp;n.set(i,t,e,r),i}(0,1,0),k=t.coneSize||.5;t.absoluteConeSize&amp;&amp;(k=t.absoluteConeSize*M),o.coneScale=k;b=0;for(var E=0;b&lt;r.length;b++)for(var L=(_=r[b])[0],S=_[1],C=_[2],O=m[b],R=n.length(O)*M,P=0;P&lt;8;P++){o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.positions.push([L,S,C,E++]),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vectors.push(O),o.vertexIntensity.push(R,R,R),o.vertexIntensity.push(R,R,R),o.vertexNormals.push(T,T,T),o.vertexNormals.push(T,T,T);var z=o.positions.length;o.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return o},e.exports.createConeMesh=t(&quot;./lib/conemesh&quot;)},{&quot;./lib/conemesh&quot;:105,&quot;gl-vec3&quot;:187}],105:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),void 0!==t.vectorScale&amp;&amp;(this.vectorScale=t.vectorScale),void 0!==t.coneScale&amp;&amp;(this.coneScale=t.coneScale),void 0!==t.coneOffset&amp;&amp;(this.coneOffset=t.coneOffset),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:106,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],106:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float coneScale;\\n\\nuniform float coneOffset;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex &gt; 2.99 &amp;&amp; segmentIndex &lt; 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex &gt; 0.99 &amp;&amp;  segmentIndex &lt; 1.01) ||\\n    (segmentIndex &gt; 4.99 &amp;&amp;  segmentIndex &lt; 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex &lt; 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nuniform float vectorScale;\\nuniform float coneScale;\\nuniform float coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],107:[function(t,e,r){e.exports={0:&quot;NONE&quot;,1:&quot;ONE&quot;,2:&quot;LINE_LOOP&quot;,3:&quot;LINE_STRIP&quot;,4:&quot;TRIANGLES&quot;,5:&quot;TRIANGLE_STRIP&quot;,6:&quot;TRIANGLE_FAN&quot;,256:&quot;DEPTH_BUFFER_BIT&quot;,512:&quot;NEVER&quot;,513:&quot;LESS&quot;,514:&quot;EQUAL&quot;,515:&quot;LEQUAL&quot;,516:&quot;GREATER&quot;,517:&quot;NOTEQUAL&quot;,518:&quot;GEQUAL&quot;,519:&quot;ALWAYS&quot;,768:&quot;SRC_COLOR&quot;,769:&quot;ONE_MINUS_SRC_COLOR&quot;,770:&quot;SRC_ALPHA&quot;,771:&quot;ONE_MINUS_SRC_ALPHA&quot;,772:&quot;DST_ALPHA&quot;,773:&quot;ONE_MINUS_DST_ALPHA&quot;,774:&quot;DST_COLOR&quot;,775:&quot;ONE_MINUS_DST_COLOR&quot;,776:&quot;SRC_ALPHA_SATURATE&quot;,1024:&quot;STENCIL_BUFFER_BIT&quot;,1028:&quot;FRONT&quot;,1029:&quot;BACK&quot;,1032:&quot;FRONT_AND_BACK&quot;,1280:&quot;INVALID_ENUM&quot;,1281:&quot;INVALID_VALUE&quot;,1282:&quot;INVALID_OPERATION&quot;,1285:&quot;OUT_OF_MEMORY&quot;,1286:&quot;INVALID_FRAMEBUFFER_OPERATION&quot;,2304:&quot;CW&quot;,2305:&quot;CCW&quot;,2849:&quot;LINE_WIDTH&quot;,2884:&quot;CULL_FACE&quot;,2885:&quot;CULL_FACE_MODE&quot;,2886:&quot;FRONT_FACE&quot;,2928:&quot;DEPTH_RANGE&quot;,2929:&quot;DEPTH_TEST&quot;,2930:&quot;DEPTH_WRITEMASK&quot;,2931:&quot;DEPTH_CLEAR_VALUE&quot;,2932:&quot;DEPTH_FUNC&quot;,2960:&quot;STENCIL_TEST&quot;,2961:&quot;STENCIL_CLEAR_VALUE&quot;,2962:&quot;STENCIL_FUNC&quot;,2963:&quot;STENCIL_VALUE_MASK&quot;,2964:&quot;STENCIL_FAIL&quot;,2965:&quot;STENCIL_PASS_DEPTH_FAIL&quot;,2966:&quot;STENCIL_PASS_DEPTH_PASS&quot;,2967:&quot;STENCIL_REF&quot;,2968:&quot;STENCIL_WRITEMASK&quot;,2978:&quot;VIEWPORT&quot;,3024:&quot;DITHER&quot;,3042:&quot;BLEND&quot;,3088:&quot;SCISSOR_BOX&quot;,3089:&quot;SCISSOR_TEST&quot;,3106:&quot;COLOR_CLEAR_VALUE&quot;,3107:&quot;COLOR_WRITEMASK&quot;,3317:&quot;UNPACK_ALIGNMENT&quot;,3333:&quot;PACK_ALIGNMENT&quot;,3379:&quot;MAX_TEXTURE_SIZE&quot;,3386:&quot;MAX_VIEWPORT_DIMS&quot;,3408:&quot;SUBPIXEL_BITS&quot;,3410:&quot;RED_BITS&quot;,3411:&quot;GREEN_BITS&quot;,3412:&quot;BLUE_BITS&quot;,3413:&quot;ALPHA_BITS&quot;,3414:&quot;DEPTH_BITS&quot;,3415:&quot;STENCIL_BITS&quot;,3553:&quot;TEXTURE_2D&quot;,4352:&quot;DONT_CARE&quot;,4353:&quot;FASTEST&quot;,4354:&quot;NICEST&quot;,5120:&quot;BYTE&quot;,5121:&quot;UNSIGNED_BYTE&quot;,5122:&quot;SHORT&quot;,5123:&quot;UNSIGNED_SHORT&quot;,5124:&quot;INT&quot;,5125:&quot;UNSIGNED_INT&quot;,5126:&quot;FLOAT&quot;,5386:&quot;INVERT&quot;,5890:&quot;TEXTURE&quot;,6401:&quot;STENCIL_INDEX&quot;,6402:&quot;DEPTH_COMPONENT&quot;,6406:&quot;ALPHA&quot;,6407:&quot;RGB&quot;,6408:&quot;RGBA&quot;,6409:&quot;LUMINANCE&quot;,6410:&quot;LUMINANCE_ALPHA&quot;,7680:&quot;KEEP&quot;,7681:&quot;REPLACE&quot;,7682:&quot;INCR&quot;,7683:&quot;DECR&quot;,7936:&quot;VENDOR&quot;,7937:&quot;RENDERER&quot;,7938:&quot;VERSION&quot;,9728:&quot;NEAREST&quot;,9729:&quot;LINEAR&quot;,9984:&quot;NEAREST_MIPMAP_NEAREST&quot;,9985:&quot;LINEAR_MIPMAP_NEAREST&quot;,9986:&quot;NEAREST_MIPMAP_LINEAR&quot;,9987:&quot;LINEAR_MIPMAP_LINEAR&quot;,10240:&quot;TEXTURE_MAG_FILTER&quot;,10241:&quot;TEXTURE_MIN_FILTER&quot;,10242:&quot;TEXTURE_WRAP_S&quot;,10243:&quot;TEXTURE_WRAP_T&quot;,10497:&quot;REPEAT&quot;,10752:&quot;POLYGON_OFFSET_UNITS&quot;,16384:&quot;COLOR_BUFFER_BIT&quot;,32769:&quot;CONSTANT_COLOR&quot;,32770:&quot;ONE_MINUS_CONSTANT_COLOR&quot;,32771:&quot;CONSTANT_ALPHA&quot;,32772:&quot;ONE_MINUS_CONSTANT_ALPHA&quot;,32773:&quot;BLEND_COLOR&quot;,32774:&quot;FUNC_ADD&quot;,32777:&quot;BLEND_EQUATION_RGB&quot;,32778:&quot;FUNC_SUBTRACT&quot;,32779:&quot;FUNC_REVERSE_SUBTRACT&quot;,32819:&quot;UNSIGNED_SHORT_4_4_4_4&quot;,32820:&quot;UNSIGNED_SHORT_5_5_5_1&quot;,32823:&quot;POLYGON_OFFSET_FILL&quot;,32824:&quot;POLYGON_OFFSET_FACTOR&quot;,32854:&quot;RGBA4&quot;,32855:&quot;RGB5_A1&quot;,32873:&quot;TEXTURE_BINDING_2D&quot;,32926:&quot;SAMPLE_ALPHA_TO_COVERAGE&quot;,32928:&quot;SAMPLE_COVERAGE&quot;,32936:&quot;SAMPLE_BUFFERS&quot;,32937:&quot;SAMPLES&quot;,32938:&quot;SAMPLE_COVERAGE_VALUE&quot;,32939:&quot;SAMPLE_COVERAGE_INVERT&quot;,32968:&quot;BLEND_DST_RGB&quot;,32969:&quot;BLEND_SRC_RGB&quot;,32970:&quot;BLEND_DST_ALPHA&quot;,32971:&quot;BLEND_SRC_ALPHA&quot;,33071:&quot;CLAMP_TO_EDGE&quot;,33170:&quot;GENERATE_MIPMAP_HINT&quot;,33189:&quot;DEPTH_COMPONENT16&quot;,33306:&quot;DEPTH_STENCIL_ATTACHMENT&quot;,33635:&quot;UNSIGNED_SHORT_5_6_5&quot;,33648:&quot;MIRRORED_REPEAT&quot;,33901:&quot;ALIASED_POINT_SIZE_RANGE&quot;,33902:&quot;ALIASED_LINE_WIDTH_RANGE&quot;,33984:&quot;TEXTURE0&quot;,33985:&quot;TEXTURE1&quot;,33986:&quot;TEXTURE2&quot;,33987:&quot;TEXTURE3&quot;,33988:&quot;TEXTURE4&quot;,33989:&quot;TEXTURE5&quot;,33990:&quot;TEXTURE6&quot;,33991:&quot;TEXTURE7&quot;,33992:&quot;TEXTURE8&quot;,33993:&quot;TEXTURE9&quot;,33994:&quot;TEXTURE10&quot;,33995:&quot;TEXTURE11&quot;,33996:&quot;TEXTURE12&quot;,33997:&quot;TEXTURE13&quot;,33998:&quot;TEXTURE14&quot;,33999:&quot;TEXTURE15&quot;,34000:&quot;TEXTURE16&quot;,34001:&quot;TEXTURE17&quot;,34002:&quot;TEXTURE18&quot;,34003:&quot;TEXTURE19&quot;,34004:&quot;TEXTURE20&quot;,34005:&quot;TEXTURE21&quot;,34006:&quot;TEXTURE22&quot;,34007:&quot;TEXTURE23&quot;,34008:&quot;TEXTURE24&quot;,34009:&quot;TEXTURE25&quot;,34010:&quot;TEXTURE26&quot;,34011:&quot;TEXTURE27&quot;,34012:&quot;TEXTURE28&quot;,34013:&quot;TEXTURE29&quot;,34014:&quot;TEXTURE30&quot;,34015:&quot;TEXTURE31&quot;,34016:&quot;ACTIVE_TEXTURE&quot;,34024:&quot;MAX_RENDERBUFFER_SIZE&quot;,34041:&quot;DEPTH_STENCIL&quot;,34055:&quot;INCR_WRAP&quot;,34056:&quot;DECR_WRAP&quot;,34067:&quot;TEXTURE_CUBE_MAP&quot;,34068:&quot;TEXTURE_BINDING_CUBE_MAP&quot;,34069:&quot;TEXTURE_CUBE_MAP_POSITIVE_X&quot;,34070:&quot;TEXTURE_CUBE_MAP_NEGATIVE_X&quot;,34071:&quot;TEXTURE_CUBE_MAP_POSITIVE_Y&quot;,34072:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Y&quot;,34073:&quot;TEXTURE_CUBE_MAP_POSITIVE_Z&quot;,34074:&quot;TEXTURE_CUBE_MAP_NEGATIVE_Z&quot;,34076:&quot;MAX_CUBE_MAP_TEXTURE_SIZE&quot;,34338:&quot;VERTEX_ATTRIB_ARRAY_ENABLED&quot;,34339:&quot;VERTEX_ATTRIB_ARRAY_SIZE&quot;,34340:&quot;VERTEX_ATTRIB_ARRAY_STRIDE&quot;,34341:&quot;VERTEX_ATTRIB_ARRAY_TYPE&quot;,34342:&quot;CURRENT_VERTEX_ATTRIB&quot;,34373:&quot;VERTEX_ATTRIB_ARRAY_POINTER&quot;,34466:&quot;NUM_COMPRESSED_TEXTURE_FORMATS&quot;,34467:&quot;COMPRESSED_TEXTURE_FORMATS&quot;,34660:&quot;BUFFER_SIZE&quot;,34661:&quot;BUFFER_USAGE&quot;,34816:&quot;STENCIL_BACK_FUNC&quot;,34817:&quot;STENCIL_BACK_FAIL&quot;,34818:&quot;STENCIL_BACK_PASS_DEPTH_FAIL&quot;,34819:&quot;STENCIL_BACK_PASS_DEPTH_PASS&quot;,34877:&quot;BLEND_EQUATION_ALPHA&quot;,34921:&quot;MAX_VERTEX_ATTRIBS&quot;,34922:&quot;VERTEX_ATTRIB_ARRAY_NORMALIZED&quot;,34930:&quot;MAX_TEXTURE_IMAGE_UNITS&quot;,34962:&quot;ARRAY_BUFFER&quot;,34963:&quot;ELEMENT_ARRAY_BUFFER&quot;,34964:&quot;ARRAY_BUFFER_BINDING&quot;,34965:&quot;ELEMENT_ARRAY_BUFFER_BINDING&quot;,34975:&quot;VERTEX_ATTRIB_ARRAY_BUFFER_BINDING&quot;,35040:&quot;STREAM_DRAW&quot;,35044:&quot;STATIC_DRAW&quot;,35048:&quot;DYNAMIC_DRAW&quot;,35632:&quot;FRAGMENT_SHADER&quot;,35633:&quot;VERTEX_SHADER&quot;,35660:&quot;MAX_VERTEX_TEXTURE_IMAGE_UNITS&quot;,35661:&quot;MAX_COMBINED_TEXTURE_IMAGE_UNITS&quot;,35663:&quot;SHADER_TYPE&quot;,35664:&quot;FLOAT_VEC2&quot;,35665:&quot;FLOAT_VEC3&quot;,35666:&quot;FLOAT_VEC4&quot;,35667:&quot;INT_VEC2&quot;,35668:&quot;INT_VEC3&quot;,35669:&quot;INT_VEC4&quot;,35670:&quot;BOOL&quot;,35671:&quot;BOOL_VEC2&quot;,35672:&quot;BOOL_VEC3&quot;,35673:&quot;BOOL_VEC4&quot;,35674:&quot;FLOAT_MAT2&quot;,35675:&quot;FLOAT_MAT3&quot;,35676:&quot;FLOAT_MAT4&quot;,35678:&quot;SAMPLER_2D&quot;,35680:&quot;SAMPLER_CUBE&quot;,35712:&quot;DELETE_STATUS&quot;,35713:&quot;COMPILE_STATUS&quot;,35714:&quot;LINK_STATUS&quot;,35715:&quot;VALIDATE_STATUS&quot;,35716:&quot;INFO_LOG_LENGTH&quot;,35717:&quot;ATTACHED_SHADERS&quot;,35718:&quot;ACTIVE_UNIFORMS&quot;,35719:&quot;ACTIVE_UNIFORM_MAX_LENGTH&quot;,35720:&quot;SHADER_SOURCE_LENGTH&quot;,35721:&quot;ACTIVE_ATTRIBUTES&quot;,35722:&quot;ACTIVE_ATTRIBUTE_MAX_LENGTH&quot;,35724:&quot;SHADING_LANGUAGE_VERSION&quot;,35725:&quot;CURRENT_PROGRAM&quot;,36003:&quot;STENCIL_BACK_REF&quot;,36004:&quot;STENCIL_BACK_VALUE_MASK&quot;,36005:&quot;STENCIL_BACK_WRITEMASK&quot;,36006:&quot;FRAMEBUFFER_BINDING&quot;,36007:&quot;RENDERBUFFER_BINDING&quot;,36048:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE&quot;,36049:&quot;FRAMEBUFFER_ATTACHMENT_OBJECT_NAME&quot;,36050:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL&quot;,36051:&quot;FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE&quot;,36053:&quot;FRAMEBUFFER_COMPLETE&quot;,36054:&quot;FRAMEBUFFER_INCOMPLETE_ATTACHMENT&quot;,36055:&quot;FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT&quot;,36057:&quot;FRAMEBUFFER_INCOMPLETE_DIMENSIONS&quot;,36061:&quot;FRAMEBUFFER_UNSUPPORTED&quot;,36064:&quot;COLOR_ATTACHMENT0&quot;,36096:&quot;DEPTH_ATTACHMENT&quot;,36128:&quot;STENCIL_ATTACHMENT&quot;,36160:&quot;FRAMEBUFFER&quot;,36161:&quot;RENDERBUFFER&quot;,36162:&quot;RENDERBUFFER_WIDTH&quot;,36163:&quot;RENDERBUFFER_HEIGHT&quot;,36164:&quot;RENDERBUFFER_INTERNAL_FORMAT&quot;,36168:&quot;STENCIL_INDEX8&quot;,36176:&quot;RENDERBUFFER_RED_SIZE&quot;,36177:&quot;RENDERBUFFER_GREEN_SIZE&quot;,36178:&quot;RENDERBUFFER_BLUE_SIZE&quot;,36179:&quot;RENDERBUFFER_ALPHA_SIZE&quot;,36180:&quot;RENDERBUFFER_DEPTH_SIZE&quot;,36181:&quot;RENDERBUFFER_STENCIL_SIZE&quot;,36194:&quot;RGB565&quot;,36336:&quot;LOW_FLOAT&quot;,36337:&quot;MEDIUM_FLOAT&quot;,36338:&quot;HIGH_FLOAT&quot;,36339:&quot;LOW_INT&quot;,36340:&quot;MEDIUM_INT&quot;,36341:&quot;HIGH_INT&quot;,36346:&quot;SHADER_COMPILER&quot;,36347:&quot;MAX_VERTEX_UNIFORM_VECTORS&quot;,36348:&quot;MAX_VARYING_VECTORS&quot;,36349:&quot;MAX_FRAGMENT_UNIFORM_VECTORS&quot;,37440:&quot;UNPACK_FLIP_Y_WEBGL&quot;,37441:&quot;UNPACK_PREMULTIPLY_ALPHA_WEBGL&quot;,37442:&quot;CONTEXT_LOST_WEBGL&quot;,37443:&quot;UNPACK_COLORSPACE_CONVERSION_WEBGL&quot;,37444:&quot;BROWSER_DEFAULT_WEBGL&quot;}},{}],108:[function(t,e,r){var n=t(&quot;./1.0/numbers&quot;);e.exports=function(t){return n[t]}},{&quot;./1.0/numbers&quot;:107}],109:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r&lt;3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f&lt;3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&amp;&amp;e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e&lt;3;++e){for(var r=[],n=1;n&lt;=2;++n)for(var i=-1;i&lt;=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a&lt;i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){&quot;lineWidth&quot;in(t=t||{})&amp;&amp;(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),&quot;capSize&quot;in t&amp;&amp;(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&amp;&amp;n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s&lt;3;++s){this.lineOffset[s]=o;t:for(var l=0;l&lt;a;++l){for(var c=r[l],h=0;h&lt;3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var d=n[l],p=e[s];if(Array.isArray(p[0])&amp;&amp;(p=e[l]),3===p.length?p=[p[0],p[1],p[2],1]:4===p.length&amp;&amp;(p=[p[0],p[1],p[2],p[3]],!this.hasAlpha&amp;&amp;p[3]&lt;1&amp;&amp;(this.hasAlpha=!0)),!isNaN(d[0][s])&amp;&amp;!isNaN(d[1][s])){var g;if(d[0][s]&lt;0)(g=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s);if(d[1][s]&gt;0)(g=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],p[0],p[1],p[2],p[3],0,0,0,g[0],g[1],g[2],p[0],p[1],p[2],p[3],0,0,0),u(this.bounds,g),o+=2+f(i,g,p,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{&quot;./shaders/index&quot;:110,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],110:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;offset&quot;,type:&quot;vec3&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],111:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-texture2d&quot;);e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(&quot;WEBGL_draw_buffers&quot;);!l&amp;&amp;u&amp;&amp;function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n&lt;=r;++n){for(var i=new Array(r),a=0;a&lt;n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a&lt;r;++a)i[a]=t.NONE;l[n]=i}}(t,u);Array.isArray(e)&amp;&amp;(n=r,r=0|e[1],e=0|e[0]);if(&quot;number&quot;!=typeof e)throw new Error(&quot;gl-fbo: Missing shape parameter&quot;);var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;c||r&lt;0||r&gt;c)throw new Error(&quot;gl-fbo: Parameters are too large for FBO&quot;);var f=1;if(&quot;color&quot;in(n=n||{})){if((f=Math.max(0|n.color,0))&lt;0)throw new Error(&quot;gl-fbo: Must specify a nonnegative number of colors&quot;);if(f&gt;1){if(!u)throw new Error(&quot;gl-fbo: Multiple draw buffer extension not supported&quot;);if(f&gt;t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(&quot;gl-fbo: Context does not support &quot;+f+&quot; draw buffers&quot;)}}var h=t.UNSIGNED_BYTE,d=t.getExtension(&quot;OES_texture_float&quot;);if(n.float&amp;&amp;f&gt;0){if(!d)throw new Error(&quot;gl-fbo: Context does not support floating point textures&quot;);h=t.FLOAT}else n.preferFloat&amp;&amp;f&gt;0&amp;&amp;d&amp;&amp;(h=t.FLOAT);var g=!0;&quot;depth&quot;in n&amp;&amp;(g=!!n.depth);var v=!1;&quot;stencil&quot;in n&amp;&amp;(v=!!n.stencil);return new p(t,e,r,h,f,g,v,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(&quot;gl-fbo: Framebuffer unsupported&quot;);case a:throw new Error(&quot;gl-fbo: Framebuffer incomplete attachment&quot;);case o:throw new Error(&quot;gl-fbo: Framebuffer incomplete dimensions&quot;);case s:throw new Error(&quot;gl-fbo: Framebuffer incomplete missing attachment&quot;);default:throw new Error(&quot;gl-fbo: Framebuffer failed for unspecified reason&quot;)}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function d(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function p(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var p=0;p&lt;i;++p)this.color[p]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,p=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m&lt;o;++m)t.color[m]=h(r,i,a,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=d(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&amp;&amp;s.drawBuffersWEBGL(l[0])):o&gt;1&amp;&amp;s.drawBuffersWEBGL(l[o]);var y=r.getExtension(&quot;WEBGL_depth_texture&quot;);y?p?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&amp;&amp;(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&amp;&amp;p?t._depth_rb=d(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=d(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):p&amp;&amp;(t._depth_rb=d(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&amp;&amp;(t.depth.dispose(),t.depth=null),t._depth_rb&amp;&amp;(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m&lt;t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&amp;&amp;(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(b)}c(r,e)}(this)}var g=p.prototype;function v(t,e,r){if(t._destroyed)throw new Error(&quot;gl-fbo: Can&#x27;t resize destroyed FBO&quot;);if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-fbo: Can&#x27;t resize FBO, invalid dimensions&quot;);t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o&lt;t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&amp;&amp;(t.depth.shape=t._shape),t._depth_rb&amp;&amp;(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&amp;&amp;t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&amp;&amp;n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&amp;&amp;(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(&quot;gl-fbo: Shape vector must be length 2&quot;);var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&amp;&amp;(this.depth.dispose(),this.depth=null),this._depth_rb&amp;&amp;(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e&lt;this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&amp;&amp;(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{&quot;gl-texture2d&quot;:164}],112:[function(t,e,r){var n=t(&quot;sprintf-js&quot;).sprintf,i=t(&quot;gl-constants/lookup&quot;),a=t(&quot;glsl-shader-name&quot;),o=t(&quot;add-line-numbers&quot;);e.exports=function(t,e,r){&quot;use strict&quot;;var s=a(e)||&quot;of unknown name (see npm glsl-shader-name)&quot;,l=&quot;unknown type&quot;;void 0!==r&amp;&amp;(l=r===i.FRAGMENT_SHADER?&quot;fragment&quot;:&quot;vertex&quot;);for(var u=n(&quot;Error compiling %s shader %s:\\n&quot;,l,s),c=n(&quot;%s%s&quot;,u,t),f=t.split(&quot;\\n&quot;),h={},d=0;d&lt;f.length;d++){var p=f[d];if(&quot;&quot;!==p&amp;&amp;&quot;\\0&quot;!==p){var g=parseInt(p.split(&quot;:&quot;)[2]);if(isNaN(g))throw new Error(n(&quot;Could not parse error: %s&quot;,p));h[g]=p}}for(var v=o(e).split(&quot;\\n&quot;),d=0;d&lt;v.length;d++)if(h[d+3]||h[d+2]||h[d+1]){var m=v[d];if(u+=m+&quot;\\n&quot;,h[d+1]){var y=h[d+1];y=y.substr(y.split(&quot;:&quot;,3).join(&quot;:&quot;).length+1).trim(),u+=n(&quot;^^^ %s\\n\\n&quot;,y)}}return{long:u.trim(),short:c.trim()}}},{&quot;add-line-numbers&quot;:12,&quot;gl-constants/lookup&quot;:108,&quot;glsl-shader-name&quot;:242,&quot;sprintf-js&quot;:340}],113:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight &lt; 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1604150559(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av &lt; FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v &gt; FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v &lt; -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, encode_float_1604150559(pixelArcLength).xyz);\\n}&quot;]),l=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;nextPosition&quot;,type:&quot;vec3&quot;},{name:&quot;arcLength&quot;,type:&quot;float&quot;},{name:&quot;lineWidth&quot;,type:&quot;float&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{&quot;gl-shader&quot;:149,glslify:250}],114:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl||t.scene&amp;&amp;t.scene.gl,r=c(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),u=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),h=l(new Array(1024),[256,1,4]),d=0;d&lt;1024;++d)h.data[d]=255;var p=a(e,h);p.wrap=e.REPEAT;var g=new v(e,r,o,s,u,p);return g.update(t),g};var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;gl-texture2d&quot;),o=t(&quot;glsl-read-float&quot;),s=t(&quot;binary-search-bounds&quot;),l=t(&quot;ndarray&quot;),u=t(&quot;./lib/shaders&quot;),c=u.createShader,f=u.createPickShader,h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n&lt;3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function p(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r&lt;3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,clipBounds:p(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||h,view:t.view||h,projection:t.projection||h,pickId:this.pickId,clipBounds:p(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;&quot;dashScale&quot;in t&amp;&amp;(this.dashScale=t.dashScale),this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=+t.opacity,this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0));var i=[],a=[],o=[],u=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e&lt;h.length;++e){var m,y,b,x=h[e-1],_=h[e];for(a.push(u),o.push(x.slice()),r=0;r&lt;3;++r){if(isNaN(x[r])||isNaN(_[r])||!isFinite(x[r])||!isFinite(_[r])){if(!n&amp;&amp;i.length&gt;0){for(var w=0;w&lt;24;++w)i.push(i[i.length-12]);c+=2,v=!0}continue t}f[0][r]=Math.min(f[0][r],x[r],_[r]),f[1][r]=Math.max(f[1][r],x[r],_[r])}Array.isArray(p[0])?(m=p.length&gt;e-1?p[e-1]:p.length&gt;0?p[p.length-1]:[0,0,0,1],y=p.length&gt;e?p[e]:p.length&gt;0?p[p.length-1]:[0,0,0,1]):m=y=p,3===m.length&amp;&amp;(m=[m[0],m[1],m[2],1]),3===y.length&amp;&amp;(y=[y[0],y[1],y[2],1]),!this.hasAlpha&amp;&amp;m[3]&lt;1&amp;&amp;(this.hasAlpha=!0),b=Array.isArray(g)?g.length&gt;e-1?g[e-1]:g.length&gt;0?g[g.length-1]:[0,0,0,1]:g;var A=u;if(u+=d(x,_),v){for(r=0;r&lt;2;++r)i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3]);c+=2,v=!1}i.push(x[0],x[1],x[2],_[0],_[1],_[2],A,b,m[0],m[1],m[2],m[3],x[0],x[1],x[2],_[0],_[1],_[2],A,-b,m[0],m[1],m[2],m[3],_[0],_[1],_[2],x[0],x[1],x[2],u,-b,y[0],y[1],y[2],y[3],_[0],_[1],_[2],x[0],x[1],x[2],u,b,y[0],y[1],y[2],y[3]),c+=4}}if(this.buffer.update(i),a.push(u),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,&quot;dashes&quot;in t){var M=t.dashes.slice();for(M.unshift(0),e=1;e&lt;M.length;++e)M[e]=M[e-1]+M[e];var T=l(new Array(1024),[256,1,4]);for(e=0;e&lt;256;++e){for(r=0;r&lt;4;++r)T.set(e,0,r,0);1&amp;s.le(M,M[M.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r&lt;0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-a,u=[0,0,0],c=0;c&lt;3;++c)u[c]=l*n[c]+a*i[c];var f=Math.min(a&lt;.5?r:r+1,this.points.length-1);return new g(e,u,f,this.points[f])}},{&quot;./lib/shaders&quot;:113,&quot;binary-search-bounds&quot;:115,&quot;gl-buffer&quot;:103,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,&quot;glsl-read-float&quot;:241,ndarray:286}],115:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],116:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}},{}],117:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=c*o-s*u,h=-c*a+s*l,d=u*a-o*l,p=r*f+n*h+i*d;return p?(p=1/p,t[0]=f*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=h*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}},{}],118:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],119:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],120:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],d=t[12],p=t[13],g=t[14],v=t[15];return(e*o-r*a)*(f*v-h*g)-(e*s-n*a)*(c*v-h*p)+(e*l-i*a)*(c*g-f*p)+(r*s-n*o)*(u*v-h*d)-(r*l-i*o)*(u*g-f*d)+(n*l-i*s)*(u*p-c*d)}},{}],121:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,d=i*s,p=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-f-p,t[1]=c+m,t[2]=h-v,t[3]=0,t[4]=c-m,t[5]=1-u-p,t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],122:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,d=i*l,p=i*u,g=a*u,v=o*s,m=o*l,y=o*u;return t[0]=1-(d+g),t[1]=f+y,t[2]=h-m,t[3]=0,t[4]=f-y,t[5]=1-(c+g),t[6]=p+v,t[7]=0,t[8]=h+m,t[9]=p-v,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],123:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],124:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],d=e[11],p=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,A=i*u-a*l,M=c*g-f*p,T=c*v-h*p,k=c*m-d*p,E=f*v-h*g,L=f*m-d*g,S=h*m-d*v,C=y*S-b*L+x*E+_*k-w*T+A*M;if(!C)return null;return C=1/C,t[0]=(s*S-l*L+u*E)*C,t[1]=(i*L-n*S-a*E)*C,t[2]=(g*A-v*w+m*_)*C,t[3]=(h*w-f*A-d*_)*C,t[4]=(l*k-o*S-u*T)*C,t[5]=(r*S-i*k+a*T)*C,t[6]=(v*x-p*A-m*b)*C,t[7]=(c*A-h*x+d*b)*C,t[8]=(o*L-s*k+u*M)*C,t[9]=(n*k-r*L-a*M)*C,t[10]=(p*w-g*x+m*y)*C,t[11]=(f*x-c*w-d*y)*C,t[12]=(s*T-o*E-l*M)*C,t[13]=(r*E-n*T+i*M)*C,t[14]=(g*b-p*_-v*y)*C,t[15]=(c*_-f*b+h*y)*C,t}},{}],125:[function(t,e,r){var n=t(&quot;./identity&quot;);e.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,d,p,g=e[0],v=e[1],m=e[2],y=i[0],b=i[1],x=i[2],_=r[0],w=r[1],A=r[2];if(Math.abs(g-_)&lt;1e-6&amp;&amp;Math.abs(v-w)&lt;1e-6&amp;&amp;Math.abs(m-A)&lt;1e-6)return n(t);f=g-_,h=v-w,d=m-A,p=1/Math.sqrt(f*f+h*h+d*d),a=b*(d*=p)-x*(h*=p),o=x*(f*=p)-y*d,s=y*h-b*f,(p=Math.sqrt(a*a+o*o+s*s))?(a*=p=1/p,o*=p,s*=p):(a=0,o=0,s=0);l=h*s-d*o,u=d*a-f*s,c=f*o-h*a,(p=Math.sqrt(l*l+u*u+c*c))?(l*=p=1/p,u*=p,c*=p):(l=0,u=0,c=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+u*v+c*m),t[14]=-(f*g+h*v+d*m),t[15]=1,t}},{&quot;./identity&quot;:123}],126:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],g=e[12],v=e[13],m=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*f+w*g,t[1]=b*i+x*l+_*h+w*v,t[2]=b*a+x*u+_*d+w*m,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*f+w*g,t[5]=b*i+x*l+_*h+w*v,t[6]=b*a+x*u+_*d+w*m,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*f+w*g,t[9]=b*i+x*l+_*h+w*v,t[10]=b*a+x*u+_*d+w*m,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*f+w*g,t[13]=b*i+x*l+_*h+w*v,t[14]=b*a+x*u+_*d+w*m,t[15]=b*o+x*c+_*p+w*y,t}},{}],127:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},{}],128:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],129:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A,M,T,k,E,L=n[0],S=n[1],C=n[2],O=Math.sqrt(L*L+S*S+C*C);if(Math.abs(O)&lt;1e-6)return null;L*=O=1/O,S*=O,C*=O,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],d=e[6],p=e[7],g=e[8],v=e[9],m=e[10],y=e[11],b=L*L*o+a,x=S*L*o+C*i,_=C*L*o-S*i,w=L*S*o-C*i,A=S*S*o+a,M=C*S*o+L*i,T=L*C*o+S*i,k=S*C*o-L*i,E=C*C*o+a,t[0]=s*b+f*x+g*_,t[1]=l*b+h*x+v*_,t[2]=u*b+d*x+m*_,t[3]=c*b+p*x+y*_,t[4]=s*w+f*A+g*M,t[5]=l*w+h*A+v*M,t[6]=u*w+d*A+m*M,t[7]=c*w+p*A+y*M,t[8]=s*T+f*k+g*E,t[9]=l*T+h*k+v*E,t[10]=u*T+d*k+m*E,t[11]=c*T+p*k+y*E,e!==t&amp;&amp;(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],130:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],131:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];e!==t&amp;&amp;(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],132:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];e!==t&amp;&amp;(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],133:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],134:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,d,p,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=d,t[11]=p,t[12]=n*g+s*v+f*m+e[12],t[13]=i*g+l*v+h*m+e[13],t[14]=a*g+u*v+d*m+e[14],t[15]=o*g+c*v+p*m+e[15]);return t}},{}],135:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],136:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error(&quot;currently supports matrices up to 4x4&quot;)}return t};var n=t(&quot;gl-mat2/invert&quot;),i=t(&quot;gl-mat3/invert&quot;),a=t(&quot;gl-mat4/invert&quot;)},{&quot;gl-mat2/invert&quot;:116,&quot;gl-mat3/invert&quot;:117,&quot;gl-mat4/invert&quot;:124}],137:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;barycentric&quot;),i=t(&quot;polytope-closest-point/lib/closest_point_2d.js&quot;);function a(t,e){for(var r=[0,0,0,0],n=0;n&lt;4;++n)for(var i=0;i&lt;4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s&lt;3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),c=0;c&lt;t.length;++c)u[c]=o(t[c],r,a,s,l);for(var f=0,h=1/0,c=0;c&lt;u.length;++c){for(var d=0,p=0;p&lt;2;++p)d+=Math.pow(u[c][p]-e[p],2);d&lt;h&amp;&amp;(h=d,f=c)}for(var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o&lt;2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a&lt;1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0,c=0;c&lt;3;++c){if(g[c]&lt;-.001||g[c]&gt;1.0001)return null;v+=g[c]}if(Math.abs(v-1)&gt;.001)return null;return[f,function(t,e){for(var r=[0,0,0],n=0;n&lt;t.length;++n)for(var i=t[n],a=e[n],o=0;o&lt;3;++o)r[o]+=a*i[o];return r}(t,g),g]}},{barycentric:17,&quot;polytope-closest-point/lib/closest_point_2d.js&quot;:307}],138:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),l=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}&quot;]),u=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5,0.5);\\n  if(dot(pointR, pointR) &gt; 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}&quot;]),c=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}&quot;]),f=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]),h=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}&quot;]),d=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}&quot;]),p=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor,1);\\n}\\n&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;}]},r.pointShader={vertex:l,fragment:u,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;}]},r.pickShader={vertex:c,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;pointSize&quot;,type:&quot;float&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}]},r.contourShader={vertex:d,fragment:p,attributes:[{name:&quot;position&quot;,type:&quot;vec3&quot;}]}},{glslify:250}],139:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./lib/shaders&quot;),g=t(&quot;./lib/closest-point&quot;),v=p.meshShader,m=p.wireShader,y=p.pointShader,b=p.pickShader,x=p.pointPickShader,_=p.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function A(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,m,y,b,x,_,A,M,T,k,E){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=d,this.triangleCount=0,this.lineWidth=1,this.edgePositions=p,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=b,this.pointColors=_,this.pointUVs=A,this.pointSizes=M,this.pointIds=x,this.pointVAO=T,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=E,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var M=A.prototype;function T(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function k(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}M.isOpaque=function(){return this.opacity&gt;=1},M.isTransparent=function(){return this.opacity&lt;1},M.pickSlots=1,M.setPickBase=function(t){this.pickId=t},M.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},M.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&amp;&amp;r){var i=[],a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!A&amp;&amp;(A=s.faceNormals(r,n,T)),A||w||(w=s.vertexNormals(r,n,M));var k=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],S=t.vertexUVs,C=t.vertexIntensity,O=t.cellUVs,R=t.cellIntensity,P=1/0,z=-1/0;if(!S&amp;&amp;!O)if(C)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var I=0;I&lt;C.length;++I){var N=C[I];P=Math.min(P,N),z=Math.max(z,N)}else if(R)for(I=0;I&lt;R.length;++I){N=R[I];P=Math.min(P,N),z=Math.max(z,N)}else for(I=0;I&lt;n.length;++I){N=n[I][2];P=Math.min(P,N),z=Math.max(z,N)}this.intensity=C||(R?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,R):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var D=t.pointSizes,F=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(I=0;I&lt;n.length;++I)for(var j=n[I],B=0;B&lt;3;++B)!isNaN(j[B])&amp;&amp;isFinite(j[B])&amp;&amp;(this.bounds[0][B]=Math.min(this.bounds[0][B],j[B]),this.bounds[1][B]=Math.max(this.bounds[1][B],j[B]));var U=0,V=0,H=0;t:for(I=0;I&lt;r.length;++I){var q=r[I];switch(q.length){case 1:for(j=n[X=q[0]],B=0;B&lt;3;++B)if(isNaN(j[B])||!isFinite(j[B]))continue t;m.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?y.push(W[0],W[1],W[2],1):y.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],b.push(Y[0],Y[1]),D?x.push(D[X]):x.push(F),_.push(I),H+=1;break;case 2:for(B=0;B&lt;2;++B){j=n[X=q[B]];for(var G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t}for(B=0;B&lt;2;++B){j=n[X=q[B]];d.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?p.push(W[0],W[1],W[2],1):p.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],g.push(Y[0],Y[1]),v.push(I)}V+=1;break;case 3:for(B=0;B&lt;3;++B)for(j=n[X=q[B]],G=0;G&lt;3;++G)if(isNaN(j[G])||!isFinite(j[G]))continue t;for(B=0;B&lt;3;++B){var X,W,Y,Z;j=n[X=q[2-B]];i.push(j[0],j[1],j[2]),3===(W=k?k[X]:E?E[I]:L).length?a.push(W[0],W[1],W[2],1):a.push(W[0],W[1],W[2],W[3]),Y=S?S[X]:C?[(C[X]-P)/(z-P),0]:O?O[I]:R?[(R[I]-P)/(z-P),0]:[(j[2]-P)/(z-P),0],u.push(Y[0],Y[1]),Z=w?w[X]:A[I],l.push(Z[0],Z[1],Z[2]),h.push(I)}U+=1}}this.pointCount=H,this.edgeCount=V,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(b),this.pointSizes.update(x),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(d),this.edgeColors.update(p),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},M.drawTransparent=M.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o&lt;3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var d=c[12+o],p=0;p&lt;3;++p)d+=c[4*p+o]*this.lightPosition[p];s.lightPosition[o]=d/h}this.triangleCount&gt;0&amp;&amp;((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount&gt;0&amp;&amp;this.lineWidth&gt;0&amp;&amp;((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount&gt;0&amp;&amp;((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&amp;&amp;this.contourCount&gt;0&amp;&amp;this.contourLineWidth&gt;0&amp;&amp;((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},M.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount&gt;0)&amp;&amp;((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},M.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a&lt;r.length;++a)i[a]=n[r[a]];var o=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(a=0;a&lt;r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},M.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&amp;&amp;(t=(e=t).gl),!(t.getExtension(&quot;OES_standard_derivatives&quot;)||t.getExtension(&quot;MOZ_OES_standard_derivatives&quot;)||t.getExtension(&quot;WEBKIT_OES_standard_derivatives&quot;)))throw new Error(&quot;derivatives not supported&quot;);var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=T(t),u=k(t),f=E(t),h=L(t),d=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));d.generateMipmap(),d.minFilter=t.LINEAR_MIPMAP_LINEAR,d.magFilter=t.LINEAR;var p=i(t),g=i(t),y=i(t),b=i(t),x=i(t),_=a(t,[{buffer:p,type:t.FLOAT,size:3},{buffer:x,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:b,type:t.FLOAT,size:3}]),w=i(t),M=i(t),S=i(t),C=i(t),O=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2}]),R=i(t),P=i(t),z=i(t),I=i(t),N=i(t),D=a(t,[{buffer:R,type:t.FLOAT,size:3},{buffer:N,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:P,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:I,type:t.FLOAT,size:1}]),F=i(t),j=new A(t,d,r,s,l,u,f,h,p,x,g,y,b,_,w,C,M,S,O,R,N,P,z,I,D,F,a(t,[{buffer:F,type:t.FLOAT,size:3}]));return j.update(e),j}},{&quot;./lib/closest-point&quot;:137,&quot;./lib/shaders&quot;:138,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],140:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];&quot;distanceLimits&quot;in e&amp;&amp;(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);&quot;zoomMin&quot;in e&amp;&amp;(r[0]=e.zoomMin);&quot;zoomMax&quot;in e&amp;&amp;(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||&quot;orbit&quot;,distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,d=t.clientHeight,p={keyBindingMode:&quot;rotate&quot;,enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&amp;&amp;&quot;orthographic&quot;===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s&lt;16;++s)a=a&amp;&amp;c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&amp;&amp;t.clientHeight===d;return h=t.clientWidth,d=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(p,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),&quot;turntable&quot;===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(&quot;contextmenu&quot;,function(t){return t.preventDefault(),!1}),p._lastX=-1,p._lastY=-1,p._lastMods={shift:!1,control:!1,alt:!1,meta:!1},p.enableMouseListeners=function(){function e(e,r,i,a){var o=p.keyBindingMode;if(!1!==o){var s=&quot;rotate&quot;===o,l=&quot;pan&quot;===o,c=&quot;zoom&quot;===o,h=!!a.control,d=!!a.alt,g=!!a.shift,v=!!(1&amp;e),m=!!(2&amp;e),y=!!(4&amp;e),b=1/t.clientHeight,x=b*(r-p._lastX),_=b*(i-p._lastY),w=p.flipX?1:-1,A=p.flipY?1:-1,M=Math.PI*p.rotateSpeed,T=n();if(-1!==p._lastX&amp;&amp;-1!==p._lastY&amp;&amp;((s&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||v&amp;&amp;!h&amp;&amp;!d&amp;&amp;g)&amp;&amp;u.rotate(T,w*M*x,-A*M*_,0),(l&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||m||v&amp;&amp;h&amp;&amp;!d&amp;&amp;!g)&amp;&amp;u.pan(T,-p.translateSpeed*x*f,p.translateSpeed*_*f,0),c&amp;&amp;v&amp;&amp;!h&amp;&amp;!d&amp;&amp;!g||y||v&amp;&amp;!h&amp;&amp;d&amp;&amp;!g)){var k=-p.zoomSpeed*_/window.innerHeight*(T-u.lastT())*100;u.pan(T,0,0,f*(Math.exp(k)-1))}return p._lastX=r,p._lastY=i,p._lastMods=a,!0}}p.mouseListener=a(t,e),t.addEventListener(&quot;touchstart&quot;,function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],p._lastMods),e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchmove&quot;,function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],p._lastMods),r.preventDefault()},!!l&amp;&amp;{passive:!1}),t.addEventListener(&quot;touchend&quot;,function(t){e(0,p._lastX,p._lastY,p._lastMods),t.preventDefault()},!!l&amp;&amp;{passive:!1}),p.wheelListener=o(t,function(t,e){if(!1!==p.keyBindingMode&amp;&amp;p.enableWheel){var r=p.flipX?1:-1,i=p.flipY?1:-1,a=n();if(Math.abs(t)&gt;Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*p.rotateSpeed/window.innerWidth);else if(!p._ortho){var o=-p.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}},!0)},p.enableMouseListeners(),p};var n=t(&quot;right-now&quot;),i=t(&quot;3d-view&quot;),a=t(&quot;mouse-change&quot;),o=t(&quot;mouse-wheel&quot;),s=t(&quot;mouse-event-offset&quot;),l=t(&quot;has-passive-events&quot;)},{&quot;3d-view&quot;:10,&quot;has-passive-events&quot;:252,&quot;mouse-change&quot;:271,&quot;mouse-event-offset&quot;:272,&quot;mouse-wheel&quot;:274,&quot;right-now&quot;:316}],141:[function(t,e,r){var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec2&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],142:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./camera.js&quot;),i=t(&quot;gl-axes3d&quot;),a=t(&quot;gl-axes3d/properties&quot;),o=t(&quot;gl-spikes3d&quot;),s=t(&quot;gl-select-static&quot;),l=t(&quot;gl-fbo&quot;),u=t(&quot;a-big-triangle&quot;),c=t(&quot;mouse-change&quot;),f=t(&quot;mouse-wheel&quot;),h=t(&quot;gl-mat4/perspective&quot;),d=t(&quot;gl-mat4/ortho&quot;),p=t(&quot;./lib/shader&quot;),g=t(&quot;is-mobile&quot;)({tablet:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e&lt;0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e&gt;0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function y(t){return&quot;boolean&quot;!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(&quot;canvas&quot;),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var b=t.gl;b||(b=function(t,e){var r=null;try{(r=t.getContext(&quot;webgl&quot;,e))||(r=t.getContext(&quot;experimental-webgl&quot;,e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:g}));if(!b)throw new Error(&quot;webgl not supported&quot;);var x=t.bounds||[[-10,-10,-10],[10,10,10]],_=new v,w=l(b,[b.drawingBufferWidth,b.drawingBufferHeight],{preferFloat:!g}),A=p(b),M=t.cameraObject&amp;&amp;!0===t.cameraObject._ortho||t.camera.projection&amp;&amp;&quot;orthographic&quot;===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||&quot;turntable&quot;,_ortho:M},k=t.axes||{},E=i(b,k);E.enable=!k.disable;var L=t.spikes||{},S=o(b,L),C=[],O=[],R=[],P=[],z=!0,I=!0,N=new Array(16),D=new Array(16),F={view:null,projection:N,model:D,_ortho:!1},I=!0,j=[b.drawingBufferWidth,b.drawingBufferHeight],B=t.cameraObject||n(e,T),U={gl:b,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:B,axes:E,axesPixels:null,spikes:S,bounds:x,objects:C,shape:j,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1},V=[b.drawingBufferWidth/U.pixelRatio|0,b.drawingBufferHeight/U.pixelRatio|0];function H(){if(!U._stopped&amp;&amp;U.autoResize){var t=e.parentNode,r=1,n=1;t&amp;&amp;t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*U.pixelRatio),a=0|Math.ceil(n*U.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||&quot;absolute&quot;,o.left=&quot;0px&quot;,o.top=&quot;0px&quot;,o.width=r+&quot;px&quot;,o.height=n+&quot;px&quot;,z=!0}}}U.autoResize&amp;&amp;H();function q(){for(var t=C.length,e=P.length,r=0;r&lt;e;++r)R[r]=0;t:for(var r=0;r&lt;t;++r){var n=C[r],i=n.pickSlots;if(i){for(var a=0;a&lt;e;++a)if(R[a]+i&lt;255){O[r]=a,n.setPickBase(R[a]+1),R[a]+=i;continue t}var o=s(b,j);O[r]=e,P.push(o),R.push(i),n.setPickBase(1),e+=1}else O[r]=-1}for(;e&gt;0&amp;&amp;0===R[e-1];)R.pop(),P.pop().dispose()}function G(){if(U.contextLost)return!0;b.isContextLost()&amp;&amp;(U.contextLost=!0,U.mouseListener.enabled=!1,U.selection.object=null,U.oncontextloss&amp;&amp;U.oncontextloss())}window.addEventListener(&quot;resize&quot;,H),U.update=function(t){U._stopped||(t=t||{},z=!0,I=!0)},U.add=function(t){U._stopped||(t.axes=E,C.push(t),O.push(-1),z=!0,I=!0,q())},U.remove=function(t){if(!U._stopped){var e=C.indexOf(t);e&lt;0||(C.splice(e,1),O.pop(),z=!0,I=!0,q())}},U.dispose=function(){if(!U._stopped&amp;&amp;(U._stopped=!0,window.removeEventListener(&quot;resize&quot;,H),e.removeEventListener(&quot;webglcontextlost&quot;,G),U.mouseListener.enabled=!1,!U.contextLost)){E.dispose(),S.dispose();for(var t=0;t&lt;C.length;++t)C[t].dispose();w.dispose();for(var t=0;t&lt;P.length;++t)P[t].dispose();A.dispose(),b=null,E=null,S=null,C=[]}},U.wheelListener=f(e,function(t,e){if(!1!==B.keyBindingMode&amp;&amp;B.enableWheel&amp;&amp;B._ortho){var r=t&gt;e?1.1:1/1.1;U.aspect[0]*=r,U.aspect[1]*=r,U.aspect[2]*=r,U.redraw()}},!0),U._mouseRotating=!1,U._prevButtons=0,U.enableMouseListeners=function(){U.mouseListener=c(e,function(t,e,r){if(!U._stopped){var n=P.length,i=C.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=r,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&amp;&amp;U._prevButtons)U._mouseRotating=!0;else{U._mouseRotating&amp;&amp;(I=!0),U._mouseRotating=!1;for(var s=0;s&lt;n;++s){var l=P[s].query(e,V[1]-r-1,U.pickRadius);if(l){if(l.distance&gt;_.distance)continue;for(var u=0;u&lt;i;++u){var c=C[u];if(O[u]===s){var f=c.pick(l);f&amp;&amp;(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=c,_.index=f.distance,_.dataPosition=f.position,_.dataCoordinate=f.dataCoordinate,_.data=f,o=!0)}}}}}a&amp;&amp;a!==_.object&amp;&amp;(a.highlight&amp;&amp;a.highlight(null),z=!0),_.object&amp;&amp;(_.object.highlight&amp;&amp;_.object.highlight(_.data),z=!0),(o=o||_.object!==a)&amp;&amp;U.onselect&amp;&amp;U.onselect(_),1&amp;t&amp;&amp;!(1&amp;U._prevButtons)&amp;&amp;U.onclick&amp;&amp;U.onclick(_),U._prevButtons=t}})},e.addEventListener(&quot;webglcontextlost&quot;,G);var X=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[X[0].slice(),X[1].slice()];function Y(){if(!G()){H();var t=U.camera.tick();F.view=U.camera.matrix,z=z||t,I=I||t,E.pixelRatio=U.pixelRatio,S.pixelRatio=U.pixelRatio;var e=C.length,r=X[0],n=X[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i&lt;e;++i){var o=C[i];o.pixelRatio=U.pixelRatio,o.axes=U.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],c=s[1],f=0;f&lt;3;++f)r[f]=Math.min(r[f],l[f]),n[f]=Math.max(n[f],c[f])}var p=U.bounds;if(U.autoBounds)for(var f=0;f&lt;3;++f){if(n[f]&lt;r[f])r[f]=-1,n[f]=1;else{r[f]===n[f]&amp;&amp;(r[f]-=1,n[f]+=1);var g=.05*(n[f]-r[f]);r[f]=r[f]-g,n[f]=n[f]+g}p[0][f]=r[f],p[1][f]=n[f]}for(var v=!1,f=0;f&lt;3;++f)v=v||W[0][f]!==p[0][f]||W[1][f]!==p[1][f],W[0][f]=p[0][f],W[1][f]=p[1][f];if(I=I||v,z=z||v){if(v){for(var y=[0,0,0],i=0;i&lt;3;++i)y[i]=m((p[1][i]-p[0][i])/10);E.autoTicks?E.update({bounds:p,tickSpacing:y}):E.update({bounds:p})}var x=b.drawingBufferWidth,T=b.drawingBufferHeight;j[0]=x,j[1]=T,V[0]=0|Math.max(x/U.pixelRatio,1),V[1]=0|Math.max(T/U.pixelRatio,1),M?(d(N,-x/T,x/T,-1,1,U.zNear,U.zFar),F._ortho=!0):(h(N,U.fovy,x/T,U.zNear,U.zFar),F._ortho=!1);for(var i=0;i&lt;16;++i)D[i]=0;D[15]=1;for(var k=0,i=0;i&lt;3;++i)k=Math.max(k,p[1][i]-p[0][i]);for(var i=0;i&lt;3;++i)U.autoScale?D[5*i]=U.aspect[i]/(p[1][i]-p[0][i]):D[5*i]=1/k,U.autoCenter&amp;&amp;(D[12+i]=.5*-D[5*i]*(p[0][i]+p[1][i]));for(var i=0;i&lt;e;++i){var o=C[i];o.axesBounds=p,U.clipToBounds&amp;&amp;(o.clipBounds=p)}_.object&amp;&amp;(U.snapToData?S.position=_.dataCoordinate:S.position=_.dataPosition,S.bounds=p),I&amp;&amp;(I=!1,function(){if(G())return;b.colorMask(!0,!0,!0,!0),b.depthMask(!0),b.disable(b.BLEND),b.enable(b.DEPTH_TEST);for(var t=C.length,e=P.length,r=0;r&lt;e;++r){var n=P[r];n.shape=V,n.begin();for(var i=0;i&lt;t;++i)if(O[i]===r){var a=C[i];a.drawPick&amp;&amp;(a.pixelRatio=1,a.drawPick(F))}n.end()}}()),U.axesPixels=a(U.axes,F,x,T),U.onrender&amp;&amp;U.onrender(),b.bindFramebuffer(b.FRAMEBUFFER,null),b.viewport(0,0,x,T);var L=U.clearColor;b.clearColor(L[0],L[1],L[2],L[3]),b.clear(b.COLOR_BUFFER_BIT|b.DEPTH_BUFFER_BIT),b.depthMask(!0),b.colorMask(!0,!0,!0,!0),b.enable(b.DEPTH_TEST),b.depthFunc(b.LEQUAL),b.disable(b.BLEND),b.disable(b.CULL_FACE);var R=!1;E.enable&amp;&amp;(R=R||E.isTransparent(),E.draw(F)),S.axes=E,_.object&amp;&amp;S.draw(F),b.disable(b.CULL_FACE);for(var i=0;i&lt;e;++i){var o=C[i];o.axes=E,o.pixelRatio=U.pixelRatio,o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F),o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;(R=!0)}if(R){w.shape=j,w.bind(),b.clear(b.DEPTH_BUFFER_BIT),b.colorMask(!1,!1,!1,!1),b.depthMask(!0),b.depthFunc(b.LESS),E.enable&amp;&amp;E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isOpaque&amp;&amp;o.isOpaque()&amp;&amp;o.draw(F)}b.enable(b.BLEND),b.blendEquation(b.FUNC_ADD),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.colorMask(!0,!0,!0,!0),b.depthMask(!1),b.clearColor(0,0,0,0),b.clear(b.COLOR_BUFFER_BIT),E.isTransparent()&amp;&amp;E.drawTransparent(F);for(var i=0;i&lt;e;++i){var o=C[i];o.isTransparent&amp;&amp;o.isTransparent()&amp;&amp;o.drawTransparent(F)}b.bindFramebuffer(b.FRAMEBUFFER,null),b.blendFunc(b.ONE,b.ONE_MINUS_SRC_ALPHA),b.disable(b.DEPTH_TEST),A.bind(),w.color[0].bind(0),A.uniforms.accumBuffer=0,u(b),b.disable(b.BLEND)}z=!1;for(var i=0;i&lt;e;++i)C[i].dirty=!1}}}return U.enableMouseListeners(),function t(){U._stopped||U.contextLost||(Y(),requestAnimationFrame(t))}(),U.redraw=function(){U._stopped||(z=!0,Y())},U},createCamera:n}},{&quot;./camera.js&quot;:140,&quot;./lib/shader&quot;:141,&quot;a-big-triangle&quot;:11,&quot;gl-axes3d&quot;:95,&quot;gl-axes3d/properties&quot;:102,&quot;gl-fbo&quot;:111,&quot;gl-mat4/ortho&quot;:127,&quot;gl-mat4/perspective&quot;:128,&quot;gl-select-static&quot;:148,&quot;gl-spikes3d&quot;:157,&quot;is-mobile&quot;:260,&quot;mouse-change&quot;:271,&quot;mouse-wheel&quot;:274}],143:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],d=r[0],p=r[1],g=r[2],v=r[3];(a=u*d+c*p+f*g+h*v)&lt;0&amp;&amp;(a=-a,d=-d,p=-p,g=-g,v=-v);1-a&gt;1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*f+l*g,t[3]=s*h+l*v,t}},{}],144:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){return t||0===t?t.toString():&quot;&quot;}},{}],145:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;vectorize-text&quot;);e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:&quot;center&quot;,textBaseline:&quot;middle&quot;,lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&amp;&amp;1!==r){for(l=0;l&lt;s.positions.length;++l)for(u=0;u&lt;s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l&lt;c.positions.length;++l)for(u=0;u&lt;c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l&lt;h;++l){var d=c.positions[l];for(u=0;u&lt;2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return a[t]=[s,c,f]};var i={}},{&quot;vectorize-text&quot;:351}],146:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) &lt; 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) &lt; 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n&quot;]),u=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}&quot;]),c=[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;glyph&quot;,type:&quot;vec2&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},g={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};function m(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return m(t,f)},r.createOrtho=function(t){return m(t,h)},r.createProject=function(t){return m(t,d)},r.createPickPerspective=function(t){return m(t,p)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{&quot;gl-shader&quot;:149,glslify:250}],147:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;is-string-blank&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;typedarray-pool&quot;),s=t(&quot;gl-mat4/multiply&quot;),l=t(&quot;./lib/shaders&quot;),u=t(&quot;./lib/glyphs&quot;),c=t(&quot;./lib/get-simple-string&quot;),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function d(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function p(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t&gt;1?1:t}function v(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new p(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),d=i(e),p=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:d,size:2,type:e.FLOAT},{buffer:p,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,f,h,d,p,g,s,u,c);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t&lt;3;++t)if(this.axesProject[t]&amp;&amp;!this.projectHasAlpha)return!0;return!1};var y=[0,0],b=[0,0,0],x=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],A=f.slice(),M=[0,0,0],T=[[0,0,0],[0,0,0]];function k(t){return t[0]=t[1]=t[2]=0,t}function E(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function L(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function S(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,p=e.axesBounds,g=function(t){for(var e=T,r=0;r&lt;2;++r)for(var n=0;n&lt;3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&amp;&amp;e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v&lt;3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=A,S=0;S&lt;16;++S)m[S]=0;for(S=0;S&lt;4;++S)m[5*S]=1;m[5*v]=0,i[v]&lt;0?m[12+v]=p[0][v]:m[12+v]=p[1][v],s(m,u,m),l.model=m;var C=(v+1)%3,O=(v+2)%3,R=k(b),P=k(x);R[C]=1,P[O]=1;var z=d(0,0,0,E(_,R)),I=d(0,0,0,E(w,P));if(Math.abs(z[1])&gt;Math.abs(I[1])){var N=z;z=I,I=N,N=R,R=P,P=N;var D=C;C=O,O=D}z[0]&lt;0&amp;&amp;(R[C]=-1),I[1]&gt;0&amp;&amp;(P[O]=-1);var F=0,j=0;for(S=0;S&lt;4;++S)F+=Math.pow(u[4*C+S],2),j+=Math.pow(u[4*O+S],2);R[C]/=Math.sqrt(F),P[O]/=Math.sqrt(j),l.axes[0]=R,l.axes[1]=P,l.fragClipBounds[0]=L(M,g[0],v,-1e8),l.fragClipBounds[1]=L(M,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth&gt;0&amp;&amp;(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function O(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&amp;&amp;S(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth&gt;0&amp;&amp;(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function R(t,e,r,i){var a;a=Array.isArray(t)?e&lt;t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&amp;&amp;(a=&quot;\\u25bc&quot;,o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){O(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){O(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]&lt;&lt;8)+(t.value[0]&lt;&lt;16);if(e&gt;=this.pointCount||e&lt;0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i&lt;3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},m.highlight=function(t){if(t){var e=t.index,r=255&amp;e,n=e&gt;&gt;8&amp;255,i=e&gt;&gt;16&amp;255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(&quot;perspective&quot;in(t=t||{})&amp;&amp;(this.useOrtho=!t.perspective),&quot;orthographic&quot;in t&amp;&amp;(this.useOrtho=!!t.orthographic),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;project&quot;in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(&quot;projectScale&quot;in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,&quot;projectOpacity&quot;in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n&lt;3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]&lt;1&amp;&amp;(this.projectHasAlpha=!0)}this.hasAlpha=!1,&quot;opacity&quot;in t&amp;&amp;(this.opacity=g(t.opacity),this.opacity&lt;1&amp;&amp;(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||&quot;normal&quot;,u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else{i=[],a=[];for(n=0;n&lt;u.length;++n)i[n]=u[n][0],a[n]=u[n][1]}var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,d=t.color,p=t.size,v=t.angle,m=t.lineColor,y=-1,b=0,x=0,_=0;if(s.length){_=s.length;t:for(n=0;n&lt;_;++n){for(var w=s[n],A=0;A&lt;3;++A)if(isNaN(w[A])||!isFinite(w[A]))continue t;var M=(j=R(h,n,l,this.pixelRatio)).mesh,T=j.lines,k=j.bounds;b+=3*M.cells.length,x+=2*T.edges.length}}var E=b+x,L=o.mallocFloat(3*E),S=o.mallocFloat(4*E),C=o.mallocFloat(2*E),O=o.mallocUint32(E);if(E&gt;0){var P=0,z=b,I=[0,0,0,1],N=[0,0,0,1],D=Array.isArray(d)&amp;&amp;Array.isArray(d[0]),F=Array.isArray(m)&amp;&amp;Array.isArray(m[0]);t:for(n=0;n&lt;_;++n){y+=1;for(w=s[n],A=0;A&lt;3;++A){if(isNaN(w[A])||!isFinite(w[A]))continue 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tt=Q[$[J]];C[2*P]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*P+1]=V*(G*tt[0]+q*tt[1]+Y[1]),P+=1}for(Z=T.edges,Q=T.positions,A=0;A&lt;Z.length;++A)for($=Z[A],J=0;J&lt;2;++J){for(K=0;K&lt;3;++K)L[3*z+K]=w[K];for(K=0;K&lt;4;++K)S[4*z+K]=N[K];O[z]=y;tt=Q[$[J]];C[2*z]=V*(q*tt[0]-G*tt[1]+Y[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+Y[1]),z+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=b,this.lineVertexCount=x,this.pointBuffer.update(L),this.colorBuffer.update(S),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(L),o.free(S),o.free(C),o.free(O)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{&quot;./lib/get-simple-string&quot;:144,&quot;./lib/glyphs&quot;:145,&quot;./lib/shaders&quot;:146,&quot;gl-buffer&quot;:103,&quot;gl-mat4/multiply&quot;:126,&quot;gl-vao&quot;:168,&quot;is-string-blank&quot;:262,&quot;typedarray-pool&quot;:348}],148:[function(t,e,r){&quot;use 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t=this.gl;t&amp;&amp;(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,&quot;number&quot;!=typeof r&amp;&amp;(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),u=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o&lt;=i||c&lt;=u)return null;var f=[o-i,c-u],h=a(this.buffer,[f[0],f[1],4],[4,4*n[0],1],4*(i+n[0]*u)),d=s(h.hi(f[0],f[1],1),r,r),p=d[0],g=d[1];return p&lt;0||Math.pow(this.radius,2)&lt;d[2]?null:new l(p+i|0,g+u|0,h.get(p,g,0),[h.get(p,g,1),h.get(p,g,2),h.get(p,g,3)],Math.sqrt(d[2]))},c.dispose=function(){this.gl&amp;&amp;(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&amp;&amp;clearTimeout(this._readTimeout))}},{&quot;bit-twiddle&quot;:36,&quot;cwise/lib/wrapper&quot;:80,&quot;gl-fbo&quot;:111,ndarray:286,&quot;typedarray-pool&quot;:348}],149:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./lib/create-uniforms&quot;),i=t(&quot;./lib/create-attributes&quot;),a=t(&quot;./lib/reflect&quot;),o=t(&quot;./lib/shader-cache&quot;),s=t(&quot;./lib/runtime-reflect&quot;),l=t(&quot;./lib/GLError&quot;);function u(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var c=u.prototype;function f(t,e){return t.name&lt;e.name?-1:1}c.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e&gt;r)for(t=r;t&lt;e;t++)this.gl.enableVertexAttribArray(t);else if(r&gt;e)for(t=e;t&lt;r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},c.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e&lt;t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&amp;&amp;this._fref.dispose(),this._vref&amp;&amp;this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},c.update=function(t,e,r,u){if(!e||1===arguments.length){var c=t;t=c.vertex,e=c.fragment,r=c.uniforms,u=c.attributes}var h=this,d=h.gl,p=h._vref;h._vref=o.shader(d,d.VERTEX_SHADER,t),p&amp;&amp;p.dispose(),h.vertShader=h._vref.shader;var g=this._fref;if(h._fref=o.shader(d,d.FRAGMENT_SHADER,e),g&amp;&amp;g.dispose(),h.fragShader=h._fref.shader,!r||!u){var v=d.createProgram();if(d.attachShader(v,h.fragShader),d.attachShader(v,h.vertShader),d.linkProgram(v),!d.getProgramParameter(v,d.LINK_STATUS)){var m=d.getProgramInfoLog(v);throw new l(m,&quot;Error linking program:&quot;+m)}r=r||s.uniforms(d,v),u=u||s.attributes(d,v),d.deleteProgram(v)}(u=u.slice()).sort(f);var y,b=[],x=[],_=[];for(y=0;y&lt;u.length;++y){var w=u[y];if(w.type.indexOf(&quot;mat&quot;)&gt;=0){for(var A=0|w.type.charAt(w.type.length-1),M=new Array(A),T=0;T&lt;A;++T)M[T]=_.length,x.push(w.name+&quot;[&quot;+T+&quot;]&quot;),&quot;number&quot;==typeof w.location?_.push(w.location+T):Array.isArray(w.location)&amp;&amp;w.location.length===A&amp;&amp;&quot;number&quot;==typeof w.location[T]?_.push(0|w.location[T]):_.push(-1);b.push({name:w.name,type:w.type,locations:M})}else b.push({name:w.name,type:w.type,locations:[_.length]}),x.push(w.name),&quot;number&quot;==typeof w.location?_.push(0|w.location):_.push(-1)}var k=0;for(y=0;y&lt;_.length;++y)if(_[y]&lt;0){for(;_.indexOf(k)&gt;=0;)k+=1;_[y]=k}var E=new Array(r.length);function L(){h.program=o.program(d,h._vref,h._fref,x,_);for(var t=0;t&lt;r.length;++t)E[t]=d.getUniformLocation(h.program,r[t].name)}L(),h._relink=L,h.types={uniforms:a(r),attributes:a(u)},h.attributes=i(d,h,b,_),Object.defineProperty(h,&quot;uniforms&quot;,n(d,h,r,E))},e.exports=function(t,e,r,n,i){var a=new u(t);return a.update(e,r,n,i),a}},{&quot;./lib/GLError&quot;:150,&quot;./lib/create-attributes&quot;:151,&quot;./lib/create-uniforms&quot;:152,&quot;./lib/reflect&quot;:153,&quot;./lib/runtime-reflect&quot;:154,&quot;./lib/shader-cache&quot;:155}],150:[function(t,e,r){function n(t,e,r){this.shortMessage=e||&quot;&quot;,this.longMessage=r||&quot;&quot;,this.rawError=t||&quot;&quot;,this.message=&quot;gl-shader: &quot;+(e||t||&quot;&quot;)+(r?&quot;\\n&quot;+r:&quot;&quot;),this.stack=(new Error).stack}n.prototype=new Error,n.prototype.name=&quot;GLError&quot;,n.prototype.constructor=n,e.exports=n},{}],151:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,i){for(var a={},l=0,u=r.length;l&lt;u;++l){var c=r[l],f=c.name,h=c.type,d=c.locations;switch(h){case&quot;bool&quot;:case&quot;int&quot;:case&quot;float&quot;:o(t,e,d[0],i,1,a,f);break;default:if(h.indexOf(&quot;vec&quot;)&gt;=0){var p=h.charCodeAt(h.length-1)-48;if(p&lt;2||p&gt;4)throw new n(&quot;&quot;,&quot;Invalid data type for attribute &quot;+f+&quot;: &quot;+h);o(t,e,d[0],i,p,a,f)}else{if(!(h.indexOf(&quot;mat&quot;)&gt;=0))throw new n(&quot;&quot;,&quot;Unknown data type for attribute &quot;+f+&quot;: &quot;+h);var p=h.charCodeAt(h.length-1)-48;if(p&lt;2||p&gt;4)throw new n(&quot;&quot;,&quot;Invalid data type for attribute &quot;+f+&quot;: &quot;+h);s(t,e,d,i,p,a,f)}}}return a};var n=t(&quot;./GLError&quot;);function i(t,e,r,n,i,a){this._gl=t,this._wrapper=e,this._index=r,this._locations=n,this._dimension=i,this._constFunc=a}var a=i.prototype;function o(t,e,r,n,a,o,s){for(var l=[&quot;gl&quot;,&quot;v&quot;],u=[],c=0;c&lt;a;++c)l.push(&quot;x&quot;+c),u.push(&quot;x&quot;+c);l.push(&quot;if(x0.length===void 0){return gl.vertexAttrib&quot;+a+&quot;f(v,&quot;+u.join()+&quot;)}else{return gl.vertexAttrib&quot;+a+&quot;fv(v,x0)}&quot;);var f=Function.apply(null,l),h=new i(t,e,r,n,a,f);Object.defineProperty(o,s,{set:function(e){return t.disableVertexAttribArray(n[r]),f(t,n[r],e),e},get:function(){return h},enumerable:!0})}function s(t,e,r,n,i,a,s){for(var l=new Array(i),u=new Array(i),c=0;c&lt;i;++c)o(t,e,r[c],n,i,l,c),u[c]=l[c];Object.defineProperty(l,&quot;location&quot;,{set:function(t){if(Array.isArray(t))for(var e=0;e&lt;i;++e)u[e].location=t[e];else for(e=0;e&lt;i;++e)u[e].location=t+e;return t},get:function(){for(var t=new Array(i),e=0;e&lt;i;++e)t[e]=n[r[e]];return t},enumerable:!0}),l.pointer=function(e,a,o,s){e=e||t.FLOAT,a=!!a,o=o||i*i,s=s||0;for(var l=0;l&lt;i;++l){var u=n[r[l]];t.vertexAttribPointer(u,i,e,a,o,s+l*i),t.enableVertexAttribArray(u)}};var f=new Array(i),h=t[&quot;vertexAttrib&quot;+i+&quot;fv&quot;];Object.defineProperty(a,s,{set:function(e){for(var a=0;a&lt;i;++a){var o=n[r[a]];if(t.disableVertexAttribArray(o),Array.isArray(e[0]))h.call(t,o,e[a]);else{for(var s=0;s&lt;i;++s)f[s]=e[i*a+s];h.call(t,o,f)}}return e},get:function(){return l},enumerable:!0})}a.pointer=function(t,e,r,n){var i=this._gl,a=this._locations[this._index];i.vertexAttribPointer(a,this._dimension,t||i.FLOAT,!!e,r||0,n||0),i.enableVertexAttribArray(a)},a.set=function(t,e,r,n){return this._constFunc(this._locations[this._index],t,e,r,n)},Object.defineProperty(a,&quot;location&quot;,{get:function(){return this._locations[this._index]},set:function(t){return t!==this._locations[this._index]&amp;&amp;(this._locations[this._index]=0|t,this._wrapper.program=null),0|t}})},{&quot;./GLError&quot;:150}],152:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./reflect&quot;),i=t(&quot;./GLError&quot;);function a(t){return new Function(&quot;y&quot;,&quot;return function(){return y}&quot;)(t)}function o(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}e.exports=function(t,e,r,s){function l(t,e,r){switch(r){case&quot;bool&quot;:case&quot;int&quot;:case&quot;sampler2D&quot;:case&quot;samplerCube&quot;:return&quot;gl.uniform1i(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;case&quot;float&quot;:return&quot;gl.uniform1f(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;default:var n=r.indexOf(&quot;vec&quot;);if(!(0&lt;=n&amp;&amp;n&lt;=1&amp;&amp;r.length===4+n)){if(0===r.indexOf(&quot;mat&quot;)&amp;&amp;4===r.length){var a=r.charCodeAt(r.length-1)-48;if(a&lt;2||a&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension type for matrix &quot;+name+&quot;: &quot;+r);return&quot;gl.uniformMatrix&quot;+a+&quot;fv(locations[&quot;+e+&quot;],false,obj&quot;+t+&quot;)&quot;}throw new i(&quot;&quot;,&quot;Unknown uniform data type for &quot;+name+&quot;: &quot;+r)}var a=r.charCodeAt(r.length-1)-48;if(a&lt;2||a&gt;4)throw new i(&quot;&quot;,&quot;Invalid data type&quot;);switch(r.charAt(0)){case&quot;b&quot;:case&quot;i&quot;:return&quot;gl.uniform&quot;+a+&quot;iv(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;case&quot;v&quot;:return&quot;gl.uniform&quot;+a+&quot;fv(locations[&quot;+e+&quot;],obj&quot;+t+&quot;)&quot;;default:throw new i(&quot;&quot;,&quot;Unrecognized data type for vector &quot;+name+&quot;: &quot;+r)}}}function u(e){for(var n=[&quot;return function updateProperty(obj){&quot;],i=function t(e,r){if(&quot;object&quot;!=typeof r)return[[e,r]];var n=[];for(var i in r){var a=r[i],o=e;parseInt(i)+&quot;&quot;===i?o+=&quot;[&quot;+i+&quot;]&quot;:o+=&quot;.&quot;+i,&quot;object&quot;==typeof a?n.push.apply(n,t(o,a)):n.push([o,a])}return n}(&quot;&quot;,e),a=0;a&lt;i.length;++a){var o=i[a],u=o[0],c=o[1];s[c]&amp;&amp;n.push(l(u,c,r[c].type))}n.push(&quot;return obj}&quot;);var f=new Function(&quot;gl&quot;,&quot;locations&quot;,n.join(&quot;\\n&quot;));return f(t,s)}function c(n,l,c){if(&quot;object&quot;==typeof c){var h=f(c);Object.defineProperty(n,l,{get:a(h),set:u(c),enumerable:!0,configurable:!1})}else s[c]?Object.defineProperty(n,l,{get:(d=c,new Function(&quot;gl&quot;,&quot;wrapper&quot;,&quot;locations&quot;,&quot;return function(){return gl.getUniform(wrapper.program,locations[&quot;+d+&quot;])}&quot;)(t,e,s)),set:u(c),enumerable:!0,configurable:!1}):n[l]=function(t){switch(t){case&quot;bool&quot;:return!1;case&quot;int&quot;:case&quot;sampler2D&quot;:case&quot;samplerCube&quot;:case&quot;float&quot;:return 0;default:var e=t.indexOf(&quot;vec&quot;);if(0&lt;=e&amp;&amp;e&lt;=1&amp;&amp;t.length===4+e){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid data type&quot;);return&quot;b&quot;===t.charAt(0)?o(r,!1):o(r,0)}if(0===t.indexOf(&quot;mat&quot;)&amp;&amp;4===t.length){var r=t.charCodeAt(t.length-1)-48;if(r&lt;2||r&gt;4)throw new i(&quot;&quot;,&quot;Invalid uniform dimension type for matrix &quot;+name+&quot;: &quot;+t);return o(r*r,0)}throw new i(&quot;&quot;,&quot;Unknown uniform data type for &quot;+name+&quot;: &quot;+t)}}(r[c].type);var d}function f(t){var e;if(Array.isArray(t)){e=new Array(t.length);for(var r=0;r&lt;t.length;++r)c(e,r,t[r])}else for(var n in e={},t)c(e,n,t[n]);return e}var h=n(r,!0);return{get:a(f(h)),set:u(h),enumerable:!0,configurable:!0}}},{&quot;./GLError&quot;:150,&quot;./reflect&quot;:153}],153:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){for(var r={},n=0;n&lt;t.length;++n)for(var i=t[n].name,a=i.split(&quot;.&quot;),o=r,s=0;s&lt;a.length;++s){var l=a[s].split(&quot;[&quot;);if(l.length&gt;1){l[0]in o||(o[l[0]]=[]),o=o[l[0]];for(var u=1;u&lt;l.length;++u){var c=parseInt(l[u]);u&lt;l.length-1||s&lt;a.length-1?(c in o||(u&lt;l.length-1?o[c]=[]:o[c]={}),o=o[c]):o[c]=e?n:t[n].type}}else s&lt;a.length-1?(l[0]in o||(o[l[0]]={}),o=o[l[0]]):o[l[0]]=e?n:t[n].type}return r}},{}],154:[function(t,e,r){&quot;use strict&quot;;r.uniforms=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_UNIFORMS),n=[],i=0;i&lt;r;++i){var o=t.getActiveUniform(e,i);if(o){var s=a(t,o.type);if(o.size&gt;1)for(var l=0;l&lt;o.size;++l)n.push({name:o.name.replace(&quot;[0]&quot;,&quot;[&quot;+l+&quot;]&quot;),type:s});else n.push({name:o.name,type:s})}}return n},r.attributes=function(t,e){for(var r=t.getProgramParameter(e,t.ACTIVE_ATTRIBUTES),n=[],i=0;i&lt;r;++i){var o=t.getActiveAttrib(e,i);o&amp;&amp;n.push({name:o.name,type:a(t,o.type)})}return n};var n={FLOAT:&quot;float&quot;,FLOAT_VEC2:&quot;vec2&quot;,FLOAT_VEC3:&quot;vec3&quot;,FLOAT_VEC4:&quot;vec4&quot;,INT:&quot;int&quot;,INT_VEC2:&quot;ivec2&quot;,INT_VEC3:&quot;ivec3&quot;,INT_VEC4:&quot;ivec4&quot;,BOOL:&quot;bool&quot;,BOOL_VEC2:&quot;bvec2&quot;,BOOL_VEC3:&quot;bvec3&quot;,BOOL_VEC4:&quot;bvec4&quot;,FLOAT_MAT2:&quot;mat2&quot;,FLOAT_MAT3:&quot;mat3&quot;,FLOAT_MAT4:&quot;mat4&quot;,SAMPLER_2D:&quot;sampler2D&quot;,SAMPLER_CUBE:&quot;samplerCube&quot;},i=null;function a(t,e){if(!i){var r=Object.keys(n);i={};for(var a=0;a&lt;r.length;++a){var o=r[a];i[t[o]]=n[o]}}return i[e]}},{}],155:[function(t,e,r){&quot;use strict&quot;;r.shader=function(t,e,r){return c(t).getShaderReference(e,r)},r.program=function(t,e,r,n,i){return c(t).getProgram(e,r,n,i)};var n=t(&quot;./GLError&quot;),i=t(&quot;gl-format-compiler-error&quot;),a=new(&quot;undefined&quot;==typeof WeakMap?t(&quot;weakmap-shim&quot;):WeakMap),o=0;function s(t,e,r,n,i,a,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=a,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,i=r.length;n&lt;i;++n){var a=t.programs[r[n]];a&amp;&amp;(delete t.programs[n],e.deleteProgram(a))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var u=l.prototype;function c(t){var e=a.get(t);return e||(e=new l(t),a.set(t,e)),e}u.getShaderReference=function(t,e){var r=this.gl,a=this.shaders[t===r.FRAGMENT_SHADER|0],l=a[e];if(l&amp;&amp;r.isShader(l.shader))l.count+=1;else{var u=function(t,e,r){var a=t.createShader(e);if(t.shaderSource(a,r),t.compileShader(a),!t.getShaderParameter(a,t.COMPILE_STATUS)){var o=t.getShaderInfoLog(a);try{var s=i(o,r,e)}catch(t){throw console.warn(&quot;Failed to format compiler error: &quot;+t),new n(o,&quot;Error compiling shader:\\n&quot;+o)}throw new n(o,s.short,s.long)}return a}(r,t,e);l=a[e]=new s(o++,e,t,u,[],1,this)}return l},u.getProgram=function(t,e,r,i){var a=[t.id,e.id,r.join(&quot;:&quot;),i.join(&quot;:&quot;)].join(&quot;@&quot;),o=this.programs[a];return o&amp;&amp;this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s&lt;i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,&quot;Error linking program: &quot;+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{&quot;./GLError&quot;:150,&quot;gl-format-compiler-error&quot;:112,&quot;weakmap-shim&quot;:356}],156:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;glslify&quot;),i=t(&quot;gl-shader&quot;),a=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n&quot;]),o=n([&quot;precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}&quot;]);e.exports=function(t){return i(t,a,o,null,[{name:&quot;position&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec3&quot;},{name:&quot;weight&quot;,type:&quot;float&quot;}])}},{&quot;gl-shader&quot;:149,glslify:250}],157:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-buffer&quot;),i=t(&quot;gl-vao&quot;),a=t(&quot;./shaders/index&quot;);e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),u=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),c=a(t);c.attributes.position.location=0,c.attributes.color.location=1,c.attributes.weight.location=2;var f=new s(t,l,u,c);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,u=[0,0,0],c=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&amp;&amp;(i=this.axes.lastCubeProps.axis);for(var h=u,d=c,p=0;p&lt;3;++p)i&amp;&amp;i[p]&lt;0?(h[p]=this.bounds[0][p],d[p]=this.bounds[1][p]):(h[p]=this.bounds[1][p],d[p]=this.bounds[0][p]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,d],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(p=0;p&lt;3;++p)n.uniforms.lineWidth=this.lineWidth[p]*this.pixelRatio,this.enabled[p]&amp;&amp;(r.draw(e.TRIANGLES,6,6*p),this.drawSides[p]&amp;&amp;r.draw(e.TRIANGLES,12,18+12*p));r.unbind()},l.update=function(t){t&amp;&amp;(&quot;bounds&quot;in t&amp;&amp;(this.bounds=t.bounds),&quot;position&quot;in t&amp;&amp;(this.position=t.position),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;colors&quot;in t&amp;&amp;(this.colors=t.colors),&quot;enabled&quot;in t&amp;&amp;(this.enabled=t.enabled),&quot;drawSides&quot;in t&amp;&amp;(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{&quot;./shaders/index&quot;:156,&quot;gl-buffer&quot;:103,&quot;gl-vao&quot;:168}],158:[function(t,e,r){var n=t(&quot;glslify&quot;),i=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\nuniform float vectorScale;\\nuniform float tubeScale;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model &amp; view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal,0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n&quot;]),a=n([&quot;#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular\\n            , opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data\\n           , f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n&quot;]),o=n([&quot;precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn&#x27;t (0,0,0).\\n  // From the above if-statement we have ||a|| &gt; 0  U  ||b|| &gt; 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x &gt; v.z*v.z || v.y*v.y &gt; v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n&quot;]),s=n([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}&quot;]);r.meshShader={vertex:i,fragment:a,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;},{name:&quot;color&quot;,type:&quot;vec4&quot;},{name:&quot;uv&quot;,type:&quot;vec2&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:&quot;position&quot;,type:&quot;vec4&quot;},{name:&quot;id&quot;,type:&quot;vec4&quot;},{name:&quot;vector&quot;,type:&quot;vec4&quot;}]}},{glslify:250}],159:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-shader&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;normals&quot;),l=t(&quot;gl-mat4/multiply&quot;),u=t(&quot;gl-mat4/invert&quot;),c=t(&quot;ndarray&quot;),f=t(&quot;colormap&quot;),h=t(&quot;simplicial-complex-contour&quot;),d=t(&quot;typedarray-pool&quot;),p=t(&quot;./shaders&quot;),g=p.meshShader,v=p.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,u,c,f,h,d,p,g,v,y,b,x,_,w,A,M){this.gl=t,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleNormals=u,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.lineWidth=1,this.edgePositions=f,this.edgeColors=d,this.edgeUVs=p,this.edgeIds=h,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=b,this.pointUVs=x,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=M,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.tubeScale=1,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1],this.pixelRatio=1}var b=y.prototype;function x(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}b.isOpaque=function(){return this.opacity&gt;=1},b.isTransparent=function(){return this.opacity&lt;1},b.pickSlots=1,b.setPickBase=function(t){this.pickId=t},b.highlight=function(t){if(t&amp;&amp;this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=d.mallocFloat32(6*a),s=0,l=0;l&lt;a;++l)for(var u=r[l],c=0;c&lt;2;++c){var f=u[0];2===u.length&amp;&amp;(f=u[c]);for(var p=n[f][0],g=n[f][1],v=i[f],m=1-v,y=this.positions[p],b=this.positions[g],x=0;x&lt;3;++x)o[s++]=v*y[x]+m*b[x]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),d.free(o)}else this.contourCount=0},b.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,&quot;contourEnable&quot;in t&amp;&amp;(this.contourEnable=t.contourEnable),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=t.contourColor),&quot;lineWidth&quot;in t&amp;&amp;(this.lineWidth=t.lineWidth),&quot;lightPosition&quot;in t&amp;&amp;(this.lightPosition=t.lightPosition),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;ambient&quot;in t&amp;&amp;(this.ambientLight=t.ambient),&quot;diffuse&quot;in t&amp;&amp;(this.diffuseLight=t.diffuse),&quot;specular&quot;in t&amp;&amp;(this.specularLight=t.specular),&quot;roughness&quot;in t&amp;&amp;(this.roughness=t.roughness),&quot;fresnel&quot;in t&amp;&amp;(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&amp;&amp;(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=f({colormap:t,nshades:256,format:&quot;rgba&quot;}),r=new Uint8Array(1024),n=0;n&lt;256;++n){for(var i=e[n],a=0;a&lt;3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&amp;&amp;r&amp;&amp;i){void 0!==t.tubeScale&amp;&amp;(this.tubeScale=t.tubeScale);var a=[],l=[],u=[],h=[],d=[],p=[],g=[],v=[],m=[],y=[],b=[],x=[],_=[],w=[],A=[];this.cells=r,this.positions=n,this.vectors=i;var M=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,E=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&amp;&amp;!T&amp;&amp;(T=s.faceNormals(r,n,E)),T||M||(M=s.vertexNormals(r,n,k));var L=t.vertexColors,S=t.cellColors,C=t.meshColor||[1,1,1,1],O=t.vertexUVs,R=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,I=1/0,N=-1/0;if(!O&amp;&amp;!P)if(R)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],N=+t.vertexIntensityBounds[1];else for(var D=0;D&lt;R.length;++D){var F=R[D];I=Math.min(I,F),N=Math.max(N,F)}else if(z)for(D=0;D&lt;z.length;++D){F=z[D];I=Math.min(I,F),N=Math.max(N,F)}else for(D=0;D&lt;n.length;++D){F=n[D][2];I=Math.min(I,F),N=Math.max(N,F)}this.intensity=R||(z?function(t,e,r){for(var n=new Array(e),i=0;i&lt;e;++i)n[i]=0;var a=t.length;for(i=0;i&lt;a;++i)for(var o=t[i],s=0;s&lt;o.length;++s)n[o[s]]=r[i];return n}(r,n.length,z):function(t){for(var e=t.length,r=new Array(e),n=0;n&lt;e;++n)r[n]=t[n][2];return r}(n));var j=t.pointSizes,B=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(D=0;D&lt;n.length;++D)for(var U=n[D],V=0;V&lt;3;++V)!isNaN(U[V])&amp;&amp;isFinite(U[V])&amp;&amp;(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var H=0,q=0,G=0;t:for(D=0;D&lt;r.length;++D){var X=r[D];switch(X.length){case 1:for(U=n[Y=X[0]],V=0;V&lt;3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;b.push(U[0],U[1],U[2],U[3]),3===(Z=L?L[Y]:S?S[D]:C).length?x.push(Z[0],Z[1],Z[2],1):x.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],_.push(Q[0],Q[1]),j?w.push(j[Y]):w.push(B),A.push(D),G+=1;break;case 2:for(V=0;V&lt;2;++V){U=n[Y=X[V]];for(var W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V&lt;2;++V){U=n[Y=X[V]];g.push(U[0],U[1],U[2]),3===(Z=L?L[Y]:S?S[D]:C).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],m.push(Q[0],Q[1]),y.push(D)}q+=1;break;case 3:for(V=0;V&lt;3;++V)for(U=n[Y=X[V]],W=0;W&lt;3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V&lt;3;++V){var Y;U=n[Y=X[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,Q,$,J=i[Y];l.push(J[0],J[1],J[2],J[3]),3===(Z=L?L[Y]:S?S[D]:C).length?u.push(Z[0],Z[1],Z[2],1):u.push(Z[0],Z[1],Z[2],Z[3]),Q=O?O[Y]:R?[(R[Y]-I)/(N-I),0]:P?P[D]:z?[(z[D]-I)/(N-I),0]:[(U[2]-I)/(N-I),0],d.push(Q[0],Q[1]),$=M?M[Y]:T[D],h.push($[0],$[1],$[2]),p.push(D)}H+=1}}this.pointCount=G,this.edgeCount=q,this.triangleCount=H,this.pointPositions.update(b),this.pointColors.update(x),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(A)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(u),this.triangleUVs.update(d),this.triangleNormals.update(h),this.triangleIds.update(new Uint32Array(p))}},b.drawTransparent=b.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:m.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);l(c,s.view,s.model),l(c,s.projection,c),u(c,c);for(o=0;o&lt;3;++o)s.eyePosition[o]=c[12+o]/c[15];var f=c[15];for(o=0;o&lt;3;++o)f+=this.lightPosition[o]*c[4*o+3];for(o=0;o&lt;3;++o){for(var h=c[12+o],d=0;d&lt;3;++d)h+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=h/f}if(this.triangleCount&gt;0){var p=this.triShader;p.bind(),p.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},b.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o&lt;3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount&gt;0&amp;&amp;(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount&gt;0&amp;&amp;(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},b.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},b.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose()},e.exports=function(t,e){1===arguments.length&amp;&amp;(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=x(t),l=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var u=i(t),f=i(t),h=i(t),d=i(t),p=i(t),v=i(t),m=a(t,[{buffer:u,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:h,type:t.FLOAT,size:4},{buffer:d,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:3},{buffer:f,type:t.FLOAT,size:4}]),b=i(t),_=i(t),w=i(t),A=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:A,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),T=i(t),k=i(t),E=i(t),L=i(t),S=i(t),C=a(t,[{buffer:T,type:t.FLOAT,size:3},{buffer:S,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:E,type:t.FLOAT,size:2},{buffer:L,type:t.FLOAT,size:1}]),O=i(t),R=new y(t,l,r,s,u,f,v,h,d,p,m,b,A,_,w,M,T,S,k,E,L,C,O,a(t,[{buffer:O,type:t.FLOAT,size:3}]));return R.update(e),R}},{&quot;./shaders&quot;:158,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-shader&quot;:149,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,normals:288,&quot;simplicial-complex-contour&quot;:330,&quot;typedarray-pool&quot;:348}],160:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-vec3&quot;),i=t(&quot;gl-vec4&quot;),a=function(t,e,r,a){for(var o=0,s=0;s&lt;t.length;s++)for(var l=t[s].velocities,u=0;u&lt;l.length;u++){var c=n.length(l[u]);c&gt;o&amp;&amp;(o=c)}var f=t.map(function(t){return function(t,e,r,a){var o,s,l,u=t.points,c=t.velocities,f=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var h=[],d=[],p=[],g=[],v=[],m=[],y=0,b=0,x=i.create(),_=i.create(),w=0;w&lt;u.length;w++){o=u[w],s=c[w],l=f[w],0===e&amp;&amp;(l=.05*r),b=n.length(s)/a,x=i.create(),n.copy(x,s),x[3]=l;for(var A=0;A&lt;8;A++)v[A]=[o[0],o[1],o[2],A];if(g.length&gt;0)for(A=0;A&lt;8;A++){var M=(A+1)%8;h.push(g[A],v[A],v[M],v[M],g[M],g[A]),p.push(_,x,x,x,_,_),m.push(y,b,b,b,y,y),d.push([h.length-6,h.length-5,h.length-4],[h.length-3,h.length-2,h.length-1])}var T=g;g=v,v=T,T=_,_=x,x=T,T=y,y=b,b=T}return{positions:h,cells:d,vectors:p,vertexIntensity:m}}(t,r,a,o)}),h=[],d=[],p=[],g=[];for(s=0;s&lt;f.length;s++){var v=f[s],m=h.length;h=h.concat(v.positions),p=p.concat(v.vectors),g=g.concat(v.vertexIntensity);for(u=0;u&lt;v.cells.length;u++){var y=v.cells[u],b=[];d.push(b);for(var x=0;x&lt;y.length;x++)b.push(y[x]+m)}}return{positions:h,cells:d,vectors:p,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return h(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r&lt;t.length;r++){var n=t[r];if(n===e)return r;if(n&gt;e)return r-1}return r},u=n.create(),c=n.create(),f=function(t,e,r){return t&lt;e?e:t&gt;r?r:t},h=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],h=r[0].length,d=r[1].length,p=r[2].length,g=l(r[0],a),v=l(r[1],o),m=l(r[2],s),y=g+1,b=v+1,x=m+1;if(r[0][g]===a&amp;&amp;(y=g),r[1][v]===o&amp;&amp;(b=v),r[2][m]===s&amp;&amp;(x=m),i&amp;&amp;(g=f(g,0,h-1),y=f(y,0,h-1),v=f(v,0,d-1),b=f(b,0,d-1),m=f(m,0,p-1),x=f(x,0,p-1)),g&lt;0||v&lt;0||m&lt;0||y&gt;=h||b&gt;=d||x&gt;=p)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][v])/(r[1][b]-r[1][v]),A=(s-r[2][m])/(r[2][x]-r[2][m]);(_&lt;0||_&gt;1||isNaN(_))&amp;&amp;(_=0),(w&lt;0||w&gt;1||isNaN(w))&amp;&amp;(w=0),(A&lt;0||A&gt;1||isNaN(A))&amp;&amp;(A=0);var M=m*h*d,T=x*h*d,k=v*h,E=b*h,L=g,S=y,C=e[k+M+L],O=e[k+M+S],R=e[E+M+L],P=e[E+M+S],z=e[k+T+L],I=e[k+T+S],N=e[E+T+L],D=e[E+T+S],F=n.create();return n.lerp(F,C,O,_),n.lerp(u,R,P,_),n.lerp(F,F,u,w),n.lerp(u,z,I,_),n.lerp(c,N,D,_),n.lerp(u,u,c,w),n.lerp(F,F,u,A),F},d=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r&lt;t.length;r++){var n=Math.abs(t[r]-t[r-1]);n&lt;e&amp;&amp;(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,u=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&amp;&amp;(t.clampBorders=!0);var c=[],f=e[0][0],h=e[0][1],p=e[0][2],g=e[1][0],v=e[1][1],m=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r&gt;=f&amp;&amp;r&lt;=g&amp;&amp;n&gt;=h&amp;&amp;n&lt;=v&amp;&amp;i&gt;=p&amp;&amp;i&lt;=m},b=10*n.distance(e[0],e[1])/i,x=b*b,_=1,w=0;n.create();r.length&gt;=2&amp;&amp;(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s&lt;t.length;s++){var l=t[s],u=l[0],c=l[1],f=l[2];i[u]||(e.push(u),i[u]=!0),a[c]||(r.push(c),a[c]=!0),o[f]||(n.push(f),o[f]=!0)}var h=d(e),p=d(r),g=d(n),v=Math.min(h,p,g);return isFinite(v)?v:1}(r));for(var A=0;A&lt;r.length;A++){var M=n.create();n.copy(M,r[A]);var T=[M],k=[],E=t.getVelocity(M),L=M;k.push(E);var S=[],C=t.getDivergence(M,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z),c.push({points:T,velocities:k,divergences:S});for(var O=0;O&lt;100*i&amp;&amp;T.length&lt;i&amp;&amp;y(0,M);){O++;var R=n.clone(E),P=n.squaredLength(R);if(0===P)break;if(P&gt;x&amp;&amp;n.scale(R,R,b/Math.sqrt(P)),n.add(R,R,M),E=t.getVelocity(R),n.squaredDistance(L,R)-x&gt;-1e-4*x){T.push(R),L=R,k.push(E);C=t.getDivergence(R,E);(z=n.length(C))&gt;w&amp;&amp;!isNaN(z)&amp;&amp;isFinite(z)&amp;&amp;(w=z),S.push(z)}M=R}}for(A=0;A&lt;S.length;A++){var z=S[A];!isNaN(z)&amp;&amp;isFinite(z)||(S[A]=w)}var I=a(c,t.colormap,w,_);return u?I.tubeScale=u:(0===w&amp;&amp;(w=1),I.tubeScale=.5*l*_/w),I},e.exports.createTubeMesh=t(&quot;./lib/tubemesh&quot;)},{&quot;./lib/tubemesh&quot;:159,&quot;gl-vec3&quot;:187,&quot;gl-vec4&quot;:223}],161:[function(t,e,r){var n=t(&quot;gl-shader&quot;),i=t(&quot;glslify&quot;),a=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n&quot;]),o=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n&quot;]),s=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don&#x27;t do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n&quot;]),l=i([&quot;precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p &gt; max(a, b)) || \\n          (p &lt; min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill &gt; 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n&quot;]);r.createShader=function(t){var e=n(t,a,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;vec3&quot;},{name:&quot;normal&quot;,type:&quot;vec3&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:&quot;uv&quot;,type:&quot;vec4&quot;},{name:&quot;f&quot;,type:&quot;float&quot;}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{&quot;gl-shader&quot;:149,glslify:250}],162:[function(t,e,r){arguments[4][54][0].apply(r,arguments)},{dup:54}],163:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.gl,r=y(e),n=x(e),s=b(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),d=i(e),p=a(e,[{buffer:d,size:2,type:e.FLOAT}]),g=o(e,1,E,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new L(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,g,s,l,f,h,d,p,[0,0,0]),m={levels:[[],[],[]]};for(var A in t)m[A]=t[A];return m.colormap=m.colormap||&quot;jet&quot;,v.update(m),v};var n=t(&quot;bit-twiddle&quot;),i=t(&quot;gl-buffer&quot;),a=t(&quot;gl-vao&quot;),o=t(&quot;gl-texture2d&quot;),s=t(&quot;typedarray-pool&quot;),l=t(&quot;colormap&quot;),u=t(&quot;ndarray-ops&quot;),c=t(&quot;ndarray-pack&quot;),f=t(&quot;ndarray&quot;),h=t(&quot;surface-nets&quot;),d=t(&quot;gl-mat4/multiply&quot;),p=t(&quot;gl-mat4/invert&quot;),g=t(&quot;binary-search-bounds&quot;),v=t(&quot;ndarray-gradient&quot;),m=t(&quot;./lib/shaders&quot;),y=m.createShader,b=m.createContourShader,x=m.createPickShader,_=m.createPickContourShader,w=40,A=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],M=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],T=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function k(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t&lt;3;++t){var e=T[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var E=256;function L(t,e,r,n,i,a,o,l,u,c,h,d,p,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=d,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new k([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=p,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=L.prototype;S.isTransparent=function(){return this.opacity&lt;1},S.isOpaque=function(){if(this.opacity&gt;=1)return!0;for(var t=0;t&lt;3;++t)if(this._contourCounts[t].length&gt;0||this._dynamicCounts[t]&gt;0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var C=[0,0,0],O={showSurface:!1,showContour:!1,projections:[A.slice(),A.slice(),A.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function R(t,e){var r,n,i,a=e.axes&amp;&amp;e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r&lt;3;++r)for(o=o||e.surfaceProject[r],n=0;n&lt;3;++n)s=s||e.contourProject[r][n];for(r=0;r&lt;3;++r){var l=O.projections[r];for(n=0;n&lt;16;++n)l[n]=0;for(n=0;n&lt;4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]&gt;0)][r],d(l,t.model,l);var u=O.clipBounds[r];for(i=0;i&lt;2;++i)for(n=0;n&lt;3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return O.showSurface=o,O.showContour=s,O}var P={model:A,view:A,projection:A,inverseModel:A.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=A.slice(),I=[1,0,0,0,1,0,0,0,1];function N(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||A,n.view=t.view||A,n.projection=t.projection||A,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=p(n.inverseModel,n.model);for(var i=0;i&lt;2;++i)for(var a=n.clipBounds[i],o=0;o&lt;3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=z;for(d(s,n.view,n.model),d(s,n.projection,s),p(s,s),i=0;i&lt;3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i&lt;3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i&lt;3;++i){var u=s[12+i];for(o=0;o&lt;3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=R(n,this);if(c.showSurface&amp;&amp;e===this.opacity&lt;1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&amp;&amp;this._vertexCount&amp;&amp;this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i&lt;3;++i)this.surfaceProject[i]&amp;&amp;this.vertexCount&amp;&amp;(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour&amp;&amp;!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i&lt;3;++i)for(f.uniforms.permutation=T[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o&lt;this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&amp;&amp;o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&amp;&amp;(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i&lt;3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o&lt;3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=T[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g&lt;this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&amp;&amp;g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&amp;&amp;(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i&lt;3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=T[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o&lt;3;++o)this.contourProject[o][i]&amp;&amp;(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return N.call(this,t,!1)},S.drawTransparent=function(t){return N.call(this,t,!0)};var D={model:A,view:A,projection:A,inverseModel:A,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function F(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function j(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[j(t[0]),j(t[1]),j(t[2])];var e=j(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||A,r.view=t.view||A,r.projection=t.projection||A,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n&lt;2;++n)for(var i=r.clipBounds[n],a=0;a&lt;3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=R(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n&lt;3;++n)this.surfaceProject[n]&amp;&amp;(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a&lt;3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=T[a],n=0;n&lt;this.contourLevels[a].length;++n)this._contourCounts[a][n]&amp;&amp;(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n&lt;3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a&lt;3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=T[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u&lt;this.contourLevels[a].length;++u)this._contourCounts[a][u]&amp;&amp;(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]&gt;&gt;4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&amp;t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c&lt;2;++c)for(var f=c?a:1-a,h=0;h&lt;2;++h)for(var d=i+c,p=s+h,v=f*(h?l:1-l),m=0;m&lt;3;++m)u[m]+=this._field[m].get(d,p)*v;for(var y=this._pickResult.level,b=0;b&lt;3;++b)if(y[b]=g.le(this.contourLevels[b],u[b]),y[b]&lt;0)this.contourLevels[b].length&gt;0&amp;&amp;(y[b]=0);else if(y[b]&lt;this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])&gt;Math.abs(_-u[b])&amp;&amp;(y[b]+=1)}for(r.index[0]=a&lt;.5?i:i+1,r.index[1]=l&lt;.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m&lt;3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,&quot;contourWidth&quot;in t&amp;&amp;(this.contourWidth=F(t.contourWidth,Number)),&quot;showContour&quot;in t&amp;&amp;(this.showContour=F(t.showContour,Boolean)),&quot;showSurface&quot;in t&amp;&amp;(this.showSurface=!!t.showSurface),&quot;contourTint&quot;in t&amp;&amp;(this.contourTint=F(t.contourTint,Boolean)),&quot;contourColor&quot;in t&amp;&amp;(this.contourColor=B(t.contourColor)),&quot;contourProject&quot;in t&amp;&amp;(this.contourProject=F(t.contourProject,function(t){return F(t,Boolean)})),&quot;surfaceProject&quot;in t&amp;&amp;(this.surfaceProject=t.surfaceProject),&quot;dynamicColor&quot;in t&amp;&amp;(this.dynamicColor=B(t.dynamicColor)),&quot;dynamicTint&quot;in t&amp;&amp;(this.dynamicTint=F(t.dynamicTint,Number)),&quot;dynamicWidth&quot;in t&amp;&amp;(this.dynamicWidth=F(t.dynamicWidth,Number)),&quot;opacity&quot;in t&amp;&amp;(this.opacity=t.opacity),&quot;colorBounds&quot;in t&amp;&amp;(this.colorBounds=t.colorBounds),&quot;vertexColor&quot;in t&amp;&amp;(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&amp;&amp;t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),&quot;field&quot;in t||&quot;coords&quot;in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i&gt;this._field[2].data.length&amp;&amp;(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o&lt;2;++o)this._field[2].size&gt;this._field[o].data.length&amp;&amp;(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var d=t.coords;if(!Array.isArray(d)||3!==d.length)throw new Error(&quot;gl-surface: invalid coordinates for x/y&quot;);for(o=0;o&lt;2;++o){var p=d[o];for(x=0;x&lt;2;++x)if(p.shape[x]!==a[x])throw new Error(&quot;gl-surface: coords have incorrect shape&quot;);this.padField(this._field[o],p)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(&quot;gl-surface: invalid ticks&quot;);for(o=0;o&lt;2;++o){var m=g[o];if((Array.isArray(m)||m.length)&amp;&amp;(m=f(m)),m.shape[0]!==a[o])throw new Error(&quot;gl-surface: invalid tick length&quot;);var y=f(m.data,a);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o&lt;2;++o){var b=[0,0];b[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],b,0)}this._field[0].set(0,0,0);for(var x=0;x&lt;a[0];++x)this._field[0].set(x+1,0,x);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),x=0;x&lt;a[1];++x)this._field[1].set(0,x+1,x);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=f(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o&lt;3;++o)v(w.pick(o),_[o],&quot;mirror&quot;);var A=f(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o&lt;a[0]+2;++o)for(x=0;x&lt;a[1]+2;++x){var T=w.get(0,o,x,0),k=w.get(0,o,x,1),L=w.get(1,o,x,0),S=w.get(1,o,x,1),C=w.get(2,o,x,0),O=w.get(2,o,x,1),R=L*O-S*C,P=C*k-O*T,z=T*S-k*L,I=Math.sqrt(R*R+P*P+z*z);I&lt;1e-8?(I=Math.max(Math.abs(R),Math.abs(P),Math.abs(z)))&lt;1e-8?(z=1,P=R=0,I=1):I=1/I:I=1/Math.sqrt(I),A.set(o,x,0,R*I),A.set(o,x,1,P*I),A.set(o,x,2,z*I)}s.free(w.data);var N=[1/0,1/0,1/0],D=[-1/0,-1/0,-1/0],j=1/0,U=-1/0,V=(a[0]-1)*(a[1]-1)*6,H=s.mallocFloat(n.nextPow2(10*V)),q=0,G=0;for(o=0;o&lt;a[0]-1;++o)t:for(x=0;x&lt;a[1]-1;++x){for(var X=0;X&lt;2;++X)for(var W=0;W&lt;2;++W)for(var Y=0;Y&lt;3;++Y){var Z=this._field[Y].get(1+o+X,1+x+W);if(isNaN(Z)||!isFinite(Z))continue t}for(Y=0;Y&lt;6;++Y){var Q=o+M[Y][0],$=x+M[Y][1],J=this._field[0].get(Q+1,$+1),K=this._field[1].get(Q+1,$+1);Z=this._field[2].get(Q+1,$+1),R=A.get(Q+1,$+1,0),P=A.get(Q+1,$+1,1),z=A.get(Q+1,$+1,2),t.intensity&amp;&amp;(tt=t.intensity.get(Q,$));var tt=t.intensity?t.intensity.get(Q,$):Z+this.objectOffset[2];H[q++]=Q,H[q++]=$,H[q++]=J,H[q++]=K,H[q++]=Z,H[q++]=0,H[q++]=tt,H[q++]=R,H[q++]=P,H[q++]=z,N[0]=Math.min(N[0],J+this.objectOffset[0]),N[1]=Math.min(N[1],K+this.objectOffset[1]),N[2]=Math.min(N[2],Z+this.objectOffset[2]),j=Math.min(j,tt),D[0]=Math.max(D[0],J+this.objectOffset[0]),D[1]=Math.max(D[1],K+this.objectOffset[1]),D[2]=Math.max(D[2],Z+this.objectOffset[2]),U=Math.max(U,tt),G+=1}}for(t.intensityBounds&amp;&amp;(j=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o&lt;q;o+=10)H[o]=(H[o]-j)/(U-j);this._vertexCount=G,this._coordinateBuffer.update(H.subarray(0,q)),s.freeFloat(H),s.free(A.data),this.bounds=[N,D],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&amp;&amp;this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[j,U]}if(&quot;levels&quot;in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o&lt;3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o&lt;3;++o)for(x=0;x&lt;et[o].length;++x)et[o][x]-=this.objectOffset[o];t:for(o=0;o&lt;3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(x=0;x&lt;et[o].length;++x)if(et[o][x]!==this.contourLevels[o][x]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,a=this.shape;for(var rt=[],nt=0;nt&lt;3;++nt){var it=this.contourLevels[nt],at=[],ot=[],st=[0,0,0];for(o=0;o&lt;it.length;++o){var lt=h(this._field[nt],it[o]);at.push(rt.length/5|0),G=0;t:for(x=0;x&lt;lt.cells.length;++x){var ut=lt.cells[x];for(Y=0;Y&lt;2;++Y){var ct=lt.positions[ut[Y]],ft=ct[0],ht=0|Math.floor(ft),dt=ft-ht,pt=ct[1],gt=0|Math.floor(pt),vt=pt-gt,mt=!1;e:for(var yt=0;yt&lt;3;++yt){st[yt]=0;var bt=(nt+yt+1)%3;for(X=0;X&lt;2;++X){var xt=X?dt:1-dt;for(Q=0|Math.min(Math.max(ht+X,0),a[0]),W=0;W&lt;2;++W){var _t=W?vt:1-vt;if($=0|Math.min(Math.max(gt+W,0),a[1]),Z=yt&lt;2?this._field[bt].get(Q,$):(this.intensity.get(Q,$)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=xt*_t;st[yt]+=wt*Z}}}if(mt){if(Y&gt;0){for(var At=0;At&lt;5;++At)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ct[0],ct[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=at,this._contourCounts[nt]=ot}var Mt=s.mallocFloat(rt.length);for(o=0;o&lt;rt.length;++o)Mt[o]=rt[o];this._contourBuffer.update(Mt),s.freeFloat(Mt)}t.colormap&amp;&amp;this._colorMap.setPixels(function(t){var e=c([l({colormap:t,nshades:E,format:&quot;rgba&quot;}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return u.divseq(e,255),e}(t.colormap))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t&lt;3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e&lt;3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e&lt;3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&amp;&amp;r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&amp;&amp;r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&amp;&amp;r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o&lt;3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],d=this._field[u],p=h(c,r[o]),g=p.cells,v=p.positions;for(this._dynamicOffsets[o]=n,e=0;e&lt;g.length;++e)for(var m=g[e],y=0;y&lt;2;++y){var b=v[m[y]],x=+b[0],_=0|x,w=0|Math.min(_+1,i[0]),A=x-_,M=1-A,T=+b[1],k=0|T,E=0|Math.min(k+1,i[1]),L=T-k,S=1-L,C=M*S,O=M*L,R=A*S,P=A*L,z=C*f.get(_,k)+O*f.get(_,E)+R*f.get(w,k)+P*f.get(w,E),I=C*d.get(_,k)+O*d.get(_,E)+R*d.get(w,k)+P*d.get(w,E);if(isNaN(z)||isNaN(I)){y&amp;&amp;(n-=1);break}a[2*n+0]=z,a[2*n+1]=I,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{&quot;./lib/shaders&quot;:161,&quot;binary-search-bounds&quot;:162,&quot;bit-twiddle&quot;:36,colormap:68,&quot;gl-buffer&quot;:103,&quot;gl-mat4/invert&quot;:124,&quot;gl-mat4/multiply&quot;:126,&quot;gl-texture2d&quot;:164,&quot;gl-vao&quot;:168,ndarray:286,&quot;ndarray-gradient&quot;:277,&quot;ndarray-ops&quot;:280,&quot;ndarray-pack&quot;:281,&quot;surface-nets&quot;:341,&quot;typedarray-pool&quot;:348}],164:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray&quot;),i=t(&quot;ndarray-ops&quot;),a=t(&quot;typedarray-pool&quot;);e.exports=function(t){if(arguments.length&lt;=1)throw new Error(&quot;gl-texture2d: Missing arguments for texture2d constructor&quot;);o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t);if(&quot;number&quot;==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(&quot;object&quot;==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&amp;&amp;e.data&amp;&amp;e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]&lt;0||o[0]&gt;s||o[1]&lt;0||o[1]&gt;s)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);var l=p(o,e.stride.slice()),u=0;&quot;float32&quot;===r?u=t.FLOAT:&quot;float64&quot;===r?(u=t.FLOAT,l=!1,r=&quot;float32&quot;):&quot;uint8&quot;===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=&quot;uint8&quot;);var f,d,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}}u!==t.FLOAT||t.getExtension(&quot;OES_texture_float&quot;)||(u=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)f=0===e.offset&amp;&amp;e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];d=a.malloc(m,r);var b=n(d,o,y,0);&quot;float32&quot;!==r&amp;&amp;&quot;float64&quot;!==r||u!==t.UNSIGNED_BYTE?i.assign(b,e):c(b,e),f=d.subarray(0,m)}var x=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,u,f),l||a.free(d);return new h(t,x,o[0],o[1],v,u)}(t,e)}throw new Error(&quot;gl-texture2d: Invalid arguments for texture2d constructor&quot;)};var o=null,s=null,l=null;function u(t){return&quot;undefined&quot;!=typeof HTMLCanvasElement&amp;&amp;t instanceof HTMLCanvasElement||&quot;undefined&quot;!=typeof HTMLImageElement&amp;&amp;t instanceof HTMLImageElement||&quot;undefined&quot;!=typeof HTMLVideoElement&amp;&amp;t instanceof HTMLVideoElement||&quot;undefined&quot;!=typeof ImageData&amp;&amp;t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;i||r&lt;0||r&gt;i)throw new Error(&quot;gl-texture2d: Invalid texture size&quot;);return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=h.prototype;function p(t,e){return 3===t.length?1===e[2]&amp;&amp;e[1]===t[0]*t[2]&amp;&amp;e[0]===t[2]:1===e[0]&amp;&amp;e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e&lt;0||e&gt;a||r&lt;0||r&gt;a)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;);if(i===t.FLOAT&amp;&amp;!t.getExtension(&quot;OES_texture_float&quot;))throw new Error(&quot;gl-texture2d: Floating point textures not supported on this platform&quot;);var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&amp;&amp;o.indexOf(t)&gt;=0&amp;&amp;(e.getExtension(&quot;OES_texture_float_linear&quot;)||(t=e.NEAREST)),s.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown filter mode &quot;+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(&quot;EXT_texture_filter_anisotropic&quot;);r&amp;&amp;this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(&quot;gl-texture2d: Must specify wrap mode for rows and columns&quot;);for(var e=0;e&lt;2;++e)if(l.indexOf(t[e])&lt;0)throw new Error(&quot;gl-texture2d: Unknown wrap mode &quot;+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(&quot;gl-texture2d: Invalid texture shape&quot;)}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&amp;&amp;e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t&gt;0;++e,t&gt;&gt;&gt;=1)this._mipLevels.indexOf(e)&lt;0&amp;&amp;this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)&lt;0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&amp;&amp;t.stride&amp;&amp;t.data))throw new Error(&quot;gl-texture2d: Unsupported data type&quot;);if(t.shape.length&lt;2||e+t.shape[1]&gt;this._shape[1]&gt;&gt;&gt;o||r+t.shape[0]&gt;this._shape[0]&gt;&gt;&gt;o||e&lt;0||r&lt;0)throw new Error(&quot;gl-texture2d: Texture dimensions are out of bounds&quot;);!function(t,e,r,o,s,l,u,f){var h=f.dtype,d=f.shape.slice();if(d.length&lt;2||d.length&gt;3)throw new Error(&quot;gl-texture2d: Invalid ndarray, must be 2d or 3d&quot;);var g=0,v=0,m=p(d,f.stride.slice());&quot;float32&quot;===h?g=t.FLOAT:&quot;float64&quot;===h?(g=t.FLOAT,m=!1,h=&quot;float32&quot;):&quot;uint8&quot;===h?g=t.UNSIGNED_BYTE:(g=t.UNSIGNED_BYTE,m=!1,h=&quot;uint8&quot;);if(2===d.length)v=t.LUMINANCE,d=[d[0],d[1],1],f=n(f.data,d,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==d.length)throw new Error(&quot;gl-texture2d: Invalid shape for texture&quot;);if(1===d[2])v=t.ALPHA;else if(2===d[2])v=t.LUMINANCE_ALPHA;else if(3===d[2])v=t.RGB;else{if(4!==d[2])throw new Error(&quot;gl-texture2d: Invalid shape for pixel coords&quot;);v=t.RGBA}d[2]}v!==t.LUMINANCE&amp;&amp;v!==t.ALPHA||s!==t.LUMINANCE&amp;&amp;s!==t.ALPHA||(v=s);if(v!==s)throw new Error(&quot;gl-texture2d: Incompatible texture format for setPixels&quot;);var y=f.size,b=u.indexOf(o)&lt;0;b&amp;&amp;u.push(o);if(g===l&amp;&amp;m)0===f.offset&amp;&amp;f.data.length===y?b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data):b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,f.data.subarray(f.offset,f.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,f.data.subarray(f.offset,f.offset+y));else{var x;x=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(x,d,[d[2],d[2]*d[0],1]);g===t.FLOAT&amp;&amp;l===t.UNSIGNED_BYTE?c(_,f):i.assign(_,f),b?t.texImage2D(t.TEXTURE_2D,o,s,d[0],d[1],0,s,l,x.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,d[0],d[1],s,l,x.subarray(0,y)),l===t.FLOAT?a.freeFloat32(x):a.freeUint8(x)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:286,&quot;ndarray-ops&quot;:280,&quot;typedarray-pool&quot;:348}],165:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length&gt;n)throw new Error(&quot;gl-vao: Too many vertex attributes&quot;);for(var i=0;i&lt;r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(&quot;number&quot;==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(&quot;gl-vao: Invalid vertex attribute&quot;);t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i&lt;n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i&lt;n;++i)t.disableVertexAttribArray(i)}},{}],166:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},i.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},i.prototype.dispose=function(){},i.prototype.unbind=function(){},i.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return new i(t)}},{&quot;./do-bind.js&quot;:165}],167:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./do-bind.js&quot;);function i(t,e,r,n,i,a){this.location=t,this.dimension=e,this.a=r,this.b=n,this.c=i,this.d=a}function a(t,e,r){this.gl=t,this._ext=e,this.handle=r,this._attribs=[],this._useElements=!1,this._elementsType=t.UNSIGNED_SHORT}i.prototype.bind=function(t){switch(this.dimension){case 1:t.vertexAttrib1f(this.location,this.a);break;case 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I=0;I&lt;S;++I)for(var N=0;N&lt;C;++N){var j=[l(I,E[N])];N&gt;0&amp;&amp;j.push(l(I,E[N-1])+&quot;*&quot;+s(E[N-1])),P.push(p(I,E[N])+&quot;=(&quot;+j.join(&quot;-&quot;)+&quot;)|0&quot;)}for(var I=0;I&lt;C;++I)P.push(d(I)+&quot;=0&quot;);P.push(_+&quot;=0&quot;);for(var B=[&quot;2&quot;],I=C-2;I&gt;=0;--I)B.push(s(E[I]));P.push(w+&quot;=(&quot;+B.join(&quot;*&quot;)+&quot;)|0&quot;,x+&quot;=mallocUint32(&quot;+w+&quot;)&quot;,b+&quot;=mallocUint32(&quot;+w+&quot;)&quot;,A+&quot;=0&quot;),P.push(g(0)+&quot;=0&quot;);for(var N=1;N&lt;1&lt;&lt;C;++N){for(var U=[],V=[],F=0;F&lt;C;++F)N&amp;1&lt;&lt;F&amp;&amp;(0===V.length?U.push(&quot;1&quot;):U.unshift(V.join(&quot;*&quot;))),V.push(s(E[F]));var H=&quot;&quot;;U[0].indexOf(s(E[C-2]))&lt;0&amp;&amp;(H=&quot;-&quot;);var q=T(C,N,E);P.push(m(q)+&quot;=(-&quot;+U.join(&quot;-&quot;)+&quot;)|0&quot;,v(q)+&quot;=(&quot;+H+U.join(&quot;-&quot;)+&quot;)|0&quot;,g(q)+&quot;=0&quot;)}function 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n=0;n&lt;S;++n)R.push(f(n),&quot;+=&quot;,p(n,E[e]),&quot;;&quot;);e===C-1&amp;&amp;(R.push(A,&quot;=0;&quot;),W());G(e,2);t(e-1,r);e===C-1&amp;&amp;(R.push(&quot;if(&quot;,d(E[C-1]),&quot;&amp;1){&quot;,A,&quot;=0;}&quot;),W());X(e);R.push(&quot;}&quot;)}(C-1,0),R.push(&quot;freeUint32(&quot;,b,&quot;);freeUint32(&quot;,x,&quot;);&quot;);var Y=[&quot;&#x27;use strict&#x27;;&quot;,&quot;function &quot;,O,&quot;(&quot;,z.join(),&quot;){&quot;,&quot;var &quot;,P.join(),&quot;;&quot;,R.join(&quot;&quot;),&quot;}&quot;,&quot;return &quot;,O].join(&quot;&quot;);return new Function(&quot;vertex&quot;,&quot;face&quot;,&quot;phase&quot;,&quot;mallocUint32&quot;,&quot;freeUint32&quot;,Y)(t,e,r,n.mallocUint32,n.freeUint32)}(t.vertex,t.cell,t.phase,E,r,S)};var b=&quot;V&quot;,x=&quot;P&quot;,_=&quot;N&quot;,w=&quot;Q&quot;,A=&quot;X&quot;,M=&quot;T&quot;;function T(t,e,r){for(var n=0,i=0;i&lt;t;++i)e&amp;1&lt;&lt;i&amp;&amp;(n|=1&lt;&lt;r[i]);return n}},{&quot;typedarray-pool&quot;:348}],276:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;cwise/lib/wrapper&quot;)({args:[&quot;index&quot;,&quot;array&quot;,&quot;scalar&quot;],pre:{body:&quot;{}&quot;,args:[],thisVars:[],localVars:[]},body:{body:&quot;{_inline_37_arg1_=_inline_37_arg2_.apply(void 0,_inline_37_arg0_)}&quot;,args:[{name:&quot;_inline_37_arg0_&quot;,lvalue:!1,rvalue:!0,count:1},{name:&quot;_inline_37_arg1_&quot;,lvalue:!0,rvalue:!1,count:1},{name:&quot;_inline_37_arg2_&quot;,lvalue:!1,rvalue:!0,count:1}],thisVars:[],localVars:[]},post:{body:&quot;{}&quot;,args:[],thisVars:[],localVars:[]},debug:!1,funcName:&quot;cwise&quot;,blockSize:64});e.exports=function(t,e){return n(t,e),t}},{&quot;cwise/lib/wrapper&quot;:80}],277:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r){if(Array.isArray(r)){if(r.length!==e.dimension)throw new Error(&quot;ndarray-gradient: invalid boundary conditions&quot;)}else r=n(e.dimension,&quot;string&quot;==typeof r?r:&quot;clamp&quot;);if(t.dimension!==e.dimension+1)throw new Error(&quot;ndarray-gradient: output dimension must be +1 input dimension&quot;);if(t.shape[e.dimension]!==e.dimension)throw new Error(&quot;ndarray-gradient: output shape must match input shape&quot;);for(var i=0;i&lt;e.dimension;++i)if(t.shape[i]!==e.shape[i])throw new Error(&quot;ndarray-gradient: shape mismatch&quot;);if(0===e.size)return t;if(e.dimension&lt;=0)return t.set(0),t;return function(t){var e=t.join();if(m=o[e])return m;var r=t.length,n=[&quot;function gradient(dst,src){var s=src.shape.slice();&quot;];function i(e){for(var i=r-e.length,a=[],o=[],s=[],l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0?s.push(&quot;0&quot;):e.indexOf(-(l+1))&gt;=0?s.push(&quot;s[&quot;+l+&quot;]-1&quot;):(s.push(&quot;-1&quot;),a.push(&quot;1&quot;),o.push(&quot;s[&quot;+l+&quot;]-2&quot;));var u=&quot;.lo(&quot;+a.join()+&quot;).hi(&quot;+o.join()+&quot;)&quot;;if(0===a.length&amp;&amp;(u=&quot;&quot;),i&gt;0){n.push(&quot;if(1&quot;);for(var l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0||e.indexOf(-(l+1))&gt;=0||n.push(&quot;&amp;&amp;s[&quot;,l,&quot;]&gt;2&quot;);n.push(&quot;){grad&quot;,i,&quot;(src.pick(&quot;,s.join(),&quot;)&quot;,u);for(var l=0;l&lt;r;++l)e.indexOf(l+1)&gt;=0||e.indexOf(-(l+1))&gt;=0||n.push(&quot;,dst.pick(&quot;,s.join(),&quot;,&quot;,l,&quot;)&quot;,u);n.push(&quot;);&quot;)}for(var l=0;l&lt;e.length;++l){var c=Math.abs(e[l])-1,f=&quot;dst.pick(&quot;+s.join()+&quot;,&quot;+c+&quot;)&quot;+u;switch(t[c]){case&quot;clamp&quot;:var h=s.slice(),d=s.slice();e[l]&lt;0?h[c]=&quot;s[&quot;+c+&quot;]-2&quot;:d[c]=&quot;1&quot;,0===i?n.push(&quot;if(s[&quot;,c,&quot;]&gt;1){dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0.5*(src.get(&quot;,h.join(),&quot;)-src.get(&quot;,d.join(),&quot;)))}else{dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0)};&quot;):n.push(&quot;if(s[&quot;,c,&quot;]&gt;1){diff(&quot;,f,&quot;,src.pick(&quot;,h.join(),&quot;)&quot;,u,&quot;,src.pick(&quot;,d.join(),&quot;)&quot;,u,&quot;);}else{zero(&quot;,f,&quot;);};&quot;);break;case&quot;mirror&quot;:0===i?n.push(&quot;dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0);&quot;):n.push(&quot;zero(&quot;,f,&quot;);&quot;);break;case&quot;wrap&quot;:var p=s.slice(),g=s.slice();e[l]&lt;0?(p[c]=&quot;s[&quot;+c+&quot;]-2&quot;,g[c]=&quot;0&quot;):(p[c]=&quot;s[&quot;+c+&quot;]-1&quot;,g[c]=&quot;1&quot;),0===i?n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0.5*(src.get(&quot;,p.join(),&quot;)-src.get(&quot;,g.join(),&quot;)))}else{dst.set(&quot;,s.join(),&quot;,&quot;,c,&quot;,0)};&quot;):n.push(&quot;if(s[&quot;,c,&quot;]&gt;2){diff(&quot;,f,&quot;,src.pick(&quot;,p.join(),&quot;)&quot;,u,&quot;,src.pick(&quot;,g.join(),&quot;)&quot;,u,&quot;);}else{zero(&quot;,f,&quot;);};&quot;);break;default:throw new Error(&quot;ndarray-gradient: Invalid boundary condition&quot;)}}i&gt;0&amp;&amp;n.push(&quot;};&quot;)}for(var s=0;s&lt;1&lt;&lt;r;++s){for(var f=[],h=0;h&lt;r;++h)s&amp;1&lt;&lt;h&amp;&amp;f.push(h+1);for(var d=0;d&lt;1&lt;&lt;f.length;++d){for(var p=f.slice(),h=0;h&lt;f.length;++h)d&amp;1&lt;&lt;h&amp;&amp;(p[h]=-p[h]);i(p)}}n.push(&quot;return dst;};return gradient&quot;);for(var g=[&quot;diff&quot;,&quot;zero&quot;],v=[l,u],s=1;s&lt;=r;++s)g.push(&quot;grad&quot;+s),v.push(c(s));g.push(n.join(&quot;&quot;));var m=Function.apply(void 0,g).apply(void 0,v);return a[e]=m,m}(r)(t,e)};var n=t(&quot;dup&quot;),i=t(&quot;cwise-compiler&quot;),a={},o={},s={body:&quot;&quot;,args:[],thisVars:[],localVars:[]},l=i({args:[&quot;array&quot;,&quot;array&quot;,&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1},{name:&quot;left&quot;,lvalue:!1,rvalue:!0,count:1},{name:&quot;right&quot;,lvalue:!1,rvalue:!0,count:1}],body:&quot;out=0.5*(left-right)&quot;,thisVars:[],localVars:[]},funcName:&quot;cdiff&quot;}),u=i({args:[&quot;array&quot;],pre:s,post:s,body:{args:[{name:&quot;out&quot;,lvalue:!0,rvalue:!1,count:1}],body:&quot;out=0&quot;,thisVars:[],localVars:[]},funcName:&quot;zero&quot;});function c(t){if(t in a)return a[t];for(var e=[],r=0;r&lt;t;++r)e.push(&quot;out&quot;,r,&quot;s=0.5*(inp&quot;,r,&quot;l-inp&quot;,r,&quot;r);&quot;);var o=[&quot;array&quot;],l=[&quot;junk&quot;];for(r=0;r&lt;t;++r){o.push(&quot;array&quot;),l.push(&quot;out&quot;+r+&quot;s&quot;);var u=n(t);u[r]=-1,o.push({array:0,offset:u.slice()}),u[r]=1,o.push({array:0,offset:u.slice()}),l.push(&quot;inp&quot;+r+&quot;l&quot;,&quot;inp&quot;+r+&quot;r&quot;)}return a[t]=i({args:o,pre:s,post:s,body:{body:e.join(&quot;&quot;),args:l.map(function(t){return{name:t,lvalue:0===t.indexOf(&quot;out&quot;),rvalue:0===t.indexOf(&quot;inp&quot;),count:&quot;junk&quot;!==t|0}}),thisVars:[],localVars:[]},funcName:&quot;fdTemplate&quot;+t})}},{&quot;cwise-compiler&quot;:77,dup:86}],278:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;ndarray-warp&quot;),i=t(&quot;gl-matrix-invert&quot;);e.exports=function(t,e,r){var a=e.dimension,o=i([],r);return n(t,e,function(t,e){for(var r=0;r&lt;a;++r){t[r]=o[(a+1)*a+r];for(var n=0;n&lt;a;++n)t[r]+=o[(a+1)*n+r]*e[n]}var i=o[(a+1)*(a+1)-1];for(n=0;n&lt;a;++n)i+=o[(a+1)*n+a]*e[n];var s=1/i;for(r=0;r&lt;a;++r)t[r]*=s;return t}),t}},{&quot;gl-matrix-invert&quot;:136,&quot;ndarray-warp&quot;:285}],279:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r=Math.floor(e),n=e-r,i=0&lt;=r&amp;&amp;r&lt;t.shape[0],a=0&lt;=r+1&amp;&amp;r+1&lt;t.shape[0];return(1-n)*(i?+t.get(r):0)+n*(a?+t.get(r+1):0)}function i(t,e,r){var n=Math.floor(e),i=e-n,a=0&lt;=n&amp;&amp;n&lt;t.shape[0],o=0&lt;=n+1&amp;&amp;n+1&lt;t.shape[0],s=Math.floor(r),l=r-s,u=0&lt;=s&amp;&amp;s&lt;t.shape[1],c=0&lt;=s+1&amp;&amp;s+1&lt;t.shape[1],f=a&amp;&amp;u?t.get(n,s):0,h=a&amp;&amp;c?t.get(n,s+1):0;return(1-l)*((1-i)*f+i*(o&amp;&amp;u?t.get(n+1,s):0))+l*((1-i)*h+i*(o&amp;&amp;c?t.get(n+1,s+1):0))}function a(t,e,r,n){var 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h=[&quot;atan2&quot;,&quot;pow&quot;];!function(){for(var t=0;t&lt;h.length;++t){var 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a(t){switch(t){case&quot;uint8&quot;:return[n.mallocUint8,n.freeUint8];case&quot;uint16&quot;:return[n.mallocUint16,n.freeUint16];case&quot;uint32&quot;:return[n.mallocUint32,n.freeUint32];case&quot;int8&quot;:return[n.mallocInt8,n.freeInt8];case&quot;int16&quot;:return[n.mallocInt16,n.freeInt16];case&quot;int32&quot;:return[n.mallocInt32,n.freeInt32];case&quot;float32&quot;:return[n.mallocFloat,n.freeFloat];case&quot;float64&quot;:return[n.mallocDouble,n.freeDouble];default:return null}}function o(t){for(var e=[],r=0;r&lt;t;++r)e.push(&quot;s&quot;+r);for(r=0;r&lt;t;++r)e.push(&quot;n&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;d&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;e&quot;+r);for(r=1;r&lt;t;++r)e.push(&quot;f&quot;+r);return e}e.exports=function(t,e){var r=[&quot;&#x27;use strict&#x27;&quot;],n=[&quot;ndarraySortWrapper&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;);r.push([&quot;function &quot;,n,&quot;(&quot;,[&quot;array&quot;].join(&quot;,&quot;),&quot;){&quot;].join(&quot;&quot;));for(var s=[&quot;data=array.data,offset=array.offset|0,shape=array.shape,stride=array.stride&quot;],l=0;l&lt;t.length;++l)s.push([&quot;s&quot;,l,&quot;=stride[&quot;,l,&quot;]|0,n&quot;,l,&quot;=shape[&quot;,l,&quot;]|0&quot;].join(&quot;&quot;));var u=new Array(t.length),c=[];for(l=0;l&lt;t.length;++l)0!==(d=t[l])&amp;&amp;(0===c.length?u[d]=&quot;1&quot;:u[d]=c.join(&quot;*&quot;),c.push(&quot;n&quot;+d));var f=-1,h=-1;for(l=0;l&lt;t.length;++l){var d,p=t[l];0!==p&amp;&amp;(f&gt;0?s.push([&quot;d&quot;,p,&quot;=s&quot;,p,&quot;-d&quot;,f,&quot;*n&quot;,f].join(&quot;&quot;)):s.push([&quot;d&quot;,p,&quot;=s&quot;,p].join(&quot;&quot;)),f=p),0!=(d=t.length-1-l)&amp;&amp;(h&gt;0?s.push([&quot;e&quot;,d,&quot;=s&quot;,d,&quot;-e&quot;,h,&quot;*n&quot;,h,&quot;,f&quot;,d,&quot;=&quot;,u[d],&quot;-f&quot;,h,&quot;*n&quot;,h].join(&quot;&quot;)):s.push([&quot;e&quot;,d,&quot;=s&quot;,d,&quot;,f&quot;,d,&quot;=&quot;,u[d]].join(&quot;&quot;)),h=d)}r.push(&quot;var &quot;+s.join(&quot;,&quot;));var g=[&quot;0&quot;,&quot;n0-1&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length));r.push([&quot;if(n0&lt;=&quot;,i,&quot;){&quot;,&quot;insertionSort(&quot;,g.join(&quot;,&quot;),&quot;)}else{&quot;,&quot;quickSort(&quot;,g.join(&quot;,&quot;),&quot;)}&quot;].join(&quot;&quot;)),r.push(&quot;}return &quot;+n);var v=new Function(&quot;insertionSort&quot;,&quot;quickSort&quot;,r.join(&quot;\\n&quot;)),m=function(t,e){var r=[&quot;&#x27;use strict&#x27;&quot;],n=[&quot;ndarrayInsertionSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),i=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),s=a(e),l=[&quot;i,j,cptr,ptr=left*s0+offset&quot;];if(t.length&gt;1){for(var u=[],c=1;c&lt;t.length;++c)l.push(&quot;i&quot;+c),u.push(&quot;n&quot;+c);s?l.push(&quot;scratch=malloc(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;):l.push(&quot;scratch=new Array(&quot;+u.join(&quot;*&quot;)+&quot;)&quot;),l.push(&quot;dptr&quot;,&quot;sptr&quot;,&quot;a&quot;,&quot;b&quot;)}else l.push(&quot;scratch&quot;);function f(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function h(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}if(r.push([&quot;function &quot;,n,&quot;(&quot;,i.join(&quot;,&quot;),&quot;){var &quot;,l.join(&quot;,&quot;)].join(&quot;&quot;),&quot;for(i=left+1;i&lt;=right;++i){&quot;,&quot;j=i;ptr+=s0&quot;,&quot;cptr=ptr&quot;),t.length&gt;1){for(r.push(&quot;dptr=0;sptr=ptr&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(&quot;scratch[dptr++]=&quot;,f(&quot;sptr&quot;)),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push(&quot;sptr+=d&quot;+d,&quot;}&quot;);for(r.push(&quot;__g:while(j--\\x3eleft){&quot;,&quot;dptr=0&quot;,&quot;sptr=cptr-s0&quot;),c=1;c&lt;t.length;++c)1===c&amp;&amp;r.push(&quot;__l:&quot;),r.push([&quot;for(i&quot;,c,&quot;=0;i&quot;,c,&quot;&lt;n&quot;,c,&quot;;++i&quot;,c,&quot;){&quot;].join(&quot;&quot;));for(r.push([&quot;a=&quot;,f(&quot;sptr&quot;),&quot;\\nb=scratch[dptr]\\nif(a&lt;b){break __g}\\nif(a&gt;b){break __l}&quot;].join(&quot;&quot;)),c=t.length-1;c&gt;=1;--c)r.push(&quot;sptr+=e&quot;+c,&quot;dptr+=f&quot;+c,&quot;}&quot;);for(r.push(&quot;dptr=cptr;sptr=cptr-s0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,f(&quot;sptr&quot;))),c=0;c&lt;t.length;++c)0!==(d=t[c])&amp;&amp;r.push([&quot;dptr+=d&quot;,d,&quot;;sptr+=d&quot;,d].join(&quot;&quot;),&quot;}&quot;);for(r.push(&quot;cptr-=s0\\n}&quot;),r.push(&quot;dptr=cptr;sptr=0&quot;),c=t.length-1;c&gt;=0;--c)0!==(d=t[c])&amp;&amp;r.push([&quot;for(i&quot;,d,&quot;=0;i&quot;,d,&quot;&lt;n&quot;,d,&quot;;++i&quot;,d,&quot;){&quot;].join(&quot;&quot;));for(r.push(h(&quot;dptr&quot;,&quot;scratch[sptr++]&quot;)),c=0;c&lt;t.length;++c){var d;0!==(d=t[c])&amp;&amp;r.push(&quot;dptr+=d&quot;+d,&quot;}&quot;)}}else r.push(&quot;scratch=&quot;+f(&quot;ptr&quot;),&quot;while((j--\\x3eleft)&amp;&amp;(&quot;+f(&quot;cptr-s0&quot;)+&quot;&gt;scratch)){&quot;,h(&quot;cptr&quot;,f(&quot;cptr-s0&quot;)),&quot;cptr-=s0&quot;,&quot;}&quot;,h(&quot;cptr&quot;,&quot;scratch&quot;));return r.push(&quot;}&quot;),t.length&gt;1&amp;&amp;s&amp;&amp;r.push(&quot;free(scratch)&quot;),r.push(&quot;} return &quot;+n),s?new Function(&quot;malloc&quot;,&quot;free&quot;,r.join(&quot;\\n&quot;))(s[0],s[1]):new Function(r.join(&quot;\\n&quot;))()}(t,e),y=function(t,e,r){var n=[&quot;&#x27;use strict&#x27;&quot;],s=[&quot;ndarrayQuickSort&quot;,t.join(&quot;d&quot;),e].join(&quot;&quot;),l=[&quot;left&quot;,&quot;right&quot;,&quot;data&quot;,&quot;offset&quot;].concat(o(t.length)),u=a(e),c=0;n.push([&quot;function &quot;,s,&quot;(&quot;,l.join(&quot;,&quot;),&quot;){&quot;].join(&quot;&quot;));var f=[&quot;sixth=((right-left+1)/6)|0&quot;,&quot;index1=left+sixth&quot;,&quot;index5=right-sixth&quot;,&quot;index3=(left+right)&gt;&gt;1&quot;,&quot;index2=index3-sixth&quot;,&quot;index4=index3+sixth&quot;,&quot;el1=index1&quot;,&quot;el2=index2&quot;,&quot;el3=index3&quot;,&quot;el4=index4&quot;,&quot;el5=index5&quot;,&quot;less=left+1&quot;,&quot;great=right-1&quot;,&quot;pivots_are_equal=true&quot;,&quot;tmp&quot;,&quot;tmp0&quot;,&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;k&quot;,&quot;ptr0&quot;,&quot;ptr1&quot;,&quot;ptr2&quot;,&quot;comp_pivot1=0&quot;,&quot;comp_pivot2=0&quot;,&quot;comp=0&quot;];if(t.length&gt;1){for(var h=[],d=1;d&lt;t.length;++d)h.push(&quot;n&quot;+d),f.push(&quot;i&quot;+d);for(d=0;d&lt;8;++d)f.push(&quot;b_ptr&quot;+d);f.push(&quot;ptr3&quot;,&quot;ptr4&quot;,&quot;ptr5&quot;,&quot;ptr6&quot;,&quot;ptr7&quot;,&quot;pivot_ptr&quot;,&quot;ptr_shift&quot;,&quot;elementSize=&quot;+h.join(&quot;*&quot;)),u?f.push(&quot;pivot1=malloc(elementSize)&quot;,&quot;pivot2=malloc(elementSize)&quot;):f.push(&quot;pivot1=new Array(elementSize),pivot2=new Array(elementSize)&quot;)}else f.push(&quot;pivot1&quot;,&quot;pivot2&quot;);function p(t){return[&quot;(offset+&quot;,t,&quot;*s0)&quot;].join(&quot;&quot;)}function g(t){return&quot;generic&quot;===e?[&quot;data.get(&quot;,t,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]&quot;].join(&quot;&quot;)}function v(t,r){return&quot;generic&quot;===e?[&quot;data.set(&quot;,t,&quot;,&quot;,r,&quot;)&quot;].join(&quot;&quot;):[&quot;data[&quot;,t,&quot;]=&quot;,r].join(&quot;&quot;)}function m(e,r,i){if(1===e.length)n.push(&quot;ptr0=&quot;+p(e[0]));else for(var a=0;a&lt;e.length;++a)n.push([&quot;b_ptr&quot;,a,&quot;=s0*&quot;,e[a]].join(&quot;&quot;));for(r&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),n.push(&quot;ptr_shift=offset&quot;),a=t.length-1;a&gt;=0;--a)0!==(o=t[a])&amp;&amp;n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(e.length&gt;1)for(a=0;a&lt;e.length;++a)n.push([&quot;ptr&quot;,a,&quot;=b_ptr&quot;,a,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(i),r&amp;&amp;n.push(&quot;++pivot_ptr&quot;),a=0;a&lt;t.length;++a){var o;0!==(o=t[a])&amp;&amp;(e.length&gt;1?n.push(&quot;ptr_shift+=d&quot;+o):n.push(&quot;ptr0+=d&quot;+o),n.push(&quot;}&quot;))}}function y(e,r,i,a){if(1===r.length)n.push(&quot;ptr0=&quot;+p(r[0]));else{for(var o=0;o&lt;r.length;++o)n.push([&quot;b_ptr&quot;,o,&quot;=s0*&quot;,r[o]].join(&quot;&quot;));n.push(&quot;ptr_shift=offset&quot;)}for(i&amp;&amp;n.push(&quot;pivot_ptr=0&quot;),e&amp;&amp;n.push(e+&quot;:&quot;),o=1;o&lt;t.length;++o)n.push([&quot;for(i&quot;,o,&quot;=0;i&quot;,o,&quot;&lt;n&quot;,o,&quot;;++i&quot;,o,&quot;){&quot;].join(&quot;&quot;));if(r.length&gt;1)for(o=0;o&lt;r.length;++o)n.push([&quot;ptr&quot;,o,&quot;=b_ptr&quot;,o,&quot;+ptr_shift&quot;].join(&quot;&quot;));for(n.push(a),o=t.length-1;o&gt;=1;--o)i&amp;&amp;n.push(&quot;pivot_ptr+=f&quot;+o),r.length&gt;1?n.push(&quot;ptr_shift+=e&quot;+o):n.push(&quot;ptr0+=e&quot;+o),n.push(&quot;}&quot;)}function b(){t.length&gt;1&amp;&amp;u&amp;&amp;n.push(&quot;free(pivot1)&quot;,&quot;free(pivot2)&quot;)}function x(e,r){var i=&quot;el&quot;+e,a=&quot;el&quot;+r;if(t.length&gt;1){var o=&quot;__l&quot;+ ++c;y(o,[i,a],!1,[&quot;comp=&quot;,g(&quot;ptr0&quot;),&quot;-&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;if(comp&gt;0){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0;break &quot;,o,&quot;}\\n&quot;,&quot;if(comp&lt;0){break &quot;,o,&quot;}&quot;].join(&quot;&quot;))}else n.push([&quot;if(&quot;,g(p(i)),&quot;&gt;&quot;,g(p(a)),&quot;){tmp0=&quot;,i,&quot;;&quot;,i,&quot;=&quot;,a,&quot;;&quot;,a,&quot;=tmp0}&quot;].join(&quot;&quot;))}function _(e,r){t.length&gt;1?m([e,r],!1,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;))):n.push(v(p(e),g(p(r))))}function w(e,r,i){if(t.length&gt;1){var a=&quot;__l&quot;+ ++c;y(a,[r],!0,[e,&quot;=&quot;,g(&quot;ptr0&quot;),&quot;-pivot&quot;,i,&quot;[pivot_ptr]\\n&quot;,&quot;if(&quot;,e,&quot;!==0){break &quot;,a,&quot;}&quot;].join(&quot;&quot;))}else n.push([e,&quot;=&quot;,g(p(r)),&quot;-pivot&quot;,i].join(&quot;&quot;))}function A(e,r){t.length&gt;1?m([e,r],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function M(e,r,i){t.length&gt;1?(m([e,r,i],!1,[&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;)),n.push(&quot;++&quot;+r,&quot;--&quot;+i)):n.push([&quot;ptr0=&quot;,p(e),&quot;\\n&quot;,&quot;ptr1=&quot;,p(r),&quot;\\n&quot;,&quot;ptr2=&quot;,p(i),&quot;\\n&quot;,&quot;++&quot;,r,&quot;\\n&quot;,&quot;--&quot;,i,&quot;\\n&quot;,&quot;tmp=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,g(&quot;ptr2&quot;)),&quot;\\n&quot;,v(&quot;ptr2&quot;,&quot;tmp&quot;)].join(&quot;&quot;))}function T(t,e){A(t,e),n.push(&quot;--&quot;+e)}function k(e,r,i){t.length&gt;1?m([e,r],!0,[v(&quot;ptr0&quot;,g(&quot;ptr1&quot;)),&quot;\\n&quot;,v(&quot;ptr1&quot;,[&quot;pivot&quot;,i,&quot;[pivot_ptr]&quot;].join(&quot;&quot;))].join(&quot;&quot;)):n.push(v(p(e),g(p(r))),v(p(r),&quot;pivot&quot;+i))}function E(e,r){n.push([&quot;if((&quot;,r,&quot;-&quot;,e,&quot;)&lt;=&quot;,i,&quot;){\\n&quot;,&quot;insertionSort(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}else{\\n&quot;,s,&quot;(&quot;,e,&quot;,&quot;,r,&quot;,data,offset,&quot;,o(t.length).join(&quot;,&quot;),&quot;)\\n&quot;,&quot;}&quot;].join(&quot;&quot;))}function L(e,r,i){t.length&gt;1?(n.push([&quot;__l&quot;,++c,&quot;:while(true){&quot;].join(&quot;&quot;)),m([e],!0,[&quot;if(&quot;,g(&quot;ptr0&quot;),&quot;!==pivot&quot;,r,&quot;[pivot_ptr]){break __l&quot;,c,&quot;}&quot;].join(&quot;&quot;)),n.push(i,&quot;}&quot;)):n.push([&quot;while(&quot;,g(p(e)),&quot;===pivot&quot;,r,&quot;){&quot;,i,&quot;}&quot;].join(&quot;&quot;))}return n.push(&quot;var &quot;+f.join(&quot;,&quot;)),x(1,2),x(4,5),x(1,3),x(2,3),x(1,4),x(3,4),x(2,5),x(2,3),x(4,5),t.length&gt;1?m([&quot;el1&quot;,&quot;el2&quot;,&quot;el3&quot;,&quot;el4&quot;,&quot;el5&quot;,&quot;index1&quot;,&quot;index3&quot;,&quot;index5&quot;],!0,[&quot;pivot1[pivot_ptr]=&quot;,g(&quot;ptr1&quot;),&quot;\\n&quot;,&quot;pivot2[pivot_ptr]=&quot;,g(&quot;ptr3&quot;),&quot;\\n&quot;,&quot;pivots_are_equal=pivots_are_equal&amp;&amp;(pivot1[pivot_ptr]===pivot2[pivot_ptr])\\n&quot;,&quot;x=&quot;,g(&quot;ptr0&quot;),&quot;\\n&quot;,&quot;y=&quot;,g(&quot;ptr2&quot;),&quot;\\n&quot;,&quot;z=&quot;,g(&quot;ptr4&quot;),&quot;\\n&quot;,v(&quot;ptr5&quot;,&quot;x&quot;),&quot;\\n&quot;,v(&quot;ptr6&quot;,&quot;y&quot;),&quot;\\n&quot;,v(&quot;ptr7&quot;,&quot;z&quot;)].join(&quot;&quot;)):n.push([&quot;pivot1=&quot;,g(p(&quot;el2&quot;)),&quot;\\n&quot;,&quot;pivot2=&quot;,g(p(&quot;el4&quot;)),&quot;\\n&quot;,&quot;pivots_are_equal=pivot1===pivot2\\n&quot;,&quot;x=&quot;,g(p(&quot;el1&quot;)),&quot;\\n&quot;,&quot;y=&quot;,g(p(&quot;el3&quot;)),&quot;\\n&quot;,&quot;z=&quot;,g(p(&quot;el5&quot;)),&quot;\\n&quot;,v(p(&quot;index1&quot;),&quot;x&quot;),&quot;\\n&quot;,v(p(&quot;index3&quot;),&quot;y&quot;),&quot;\\n&quot;,v(p(&quot;index5&quot;),&quot;z&quot;)].join(&quot;&quot;)),_(&quot;index2&quot;,&quot;left&quot;),_(&quot;index4&quot;,&quot;right&quot;),n.push(&quot;if(pivots_are_equal){&quot;),n.push(&quot;for(k=less;k&lt;=great;++k){&quot;),w(&quot;comp&quot;,&quot;k&quot;,1),n.push(&quot;if(comp===0){continue}&quot;),n.push(&quot;if(comp&lt;0){&quot;),n.push(&quot;if(k!==less){&quot;),A(&quot;k&quot;,&quot;less&quot;),n.push(&quot;}&quot;),n.push(&quot;++less&quot;),n.push(&quot;}else{&quot;),n.push(&quot;while(true){&quot;),w(&quot;comp&quot;,&quot;great&quot;,1),n.push(&quot;if(comp&gt;0){&quot;),n.push(&quot;great--&quot;),n.push(&quot;}else 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n=t(&quot;edges-to-adjacency-list&quot;),i=t(&quot;planar-dual&quot;),a=t(&quot;point-in-big-polygon&quot;),o=t(&quot;two-product&quot;),s=t(&quot;robust-sum&quot;),l=t(&quot;uniq&quot;),u=t(&quot;./lib/trim-leaves&quot;);function c(t,e){for(var r=new Array(t),n=0;n&lt;t;++n)r[n]=e;return r}},{&quot;./lib/trim-leaves&quot;:296,&quot;edges-to-adjacency-list&quot;:87,&quot;planar-dual&quot;:295,&quot;point-in-big-polygon&quot;:298,&quot;robust-sum&quot;:327,&quot;two-product&quot;:346,uniq:350}],298:[function(t,e,r){e.exports=function(t){for(var e=t.length,r=[],a=[],s=0;s&lt;e;++s)for(var c=t[s],f=c.length,h=f-1,d=0;d&lt;f;h=d++){var p=c[h],g=c[d];p[0]===g[0]?a.push([p,g]):r.push([p,g])}if(0===r.length)return 0===a.length?u:(v=l(a),function(t){return v(t[0],t[1])?0:1});var v;var m=i(r),y=function(t,e){return function(r){var i=o.le(e,r[0]);if(i&lt;0)return 1;var a=t[i];if(!a){if(!(i&gt;0&amp;&amp;e[i]===r[0]))return 1;a=t[i-1]}for(var s=1;a;){var 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C=L[1],O=L[5],R=L[9],P=L[2],z=L[6],I=L[10],N=O*I-R*z,D=R*P-C*I,F=C*z-O*P,j=u(N,D,F);N/=j,D/=j,F/=j,L[0]=N,L[4]=D,L[8]=F;for(a=0;a&lt;3;++a)E[a]=x[a]+L[2+4*a]*d;for(a=0;a&lt;3;++a){c=0;for(var B=0;B&lt;3;++B)c+=L[a+4*B]*E[B];L[12+a]=-c}L[15]=1},d.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n&lt;16;++n)e[n]=r[n];return e}return r};var p=[0,0,0];d.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;p[0]=i[2],p[1]=i[6],p[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u&lt;3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];a(i,i,n,p);for(u=0;u&lt;3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},d.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var 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L=e[1],S=e[5],C=e[9],O=L*b+S*x+C*_,R=L*M+S*T+C*k;m=N&lt;0?-Math.PI/2:Math.PI/2,y=Math.atan2(R,O)}else{var P=e[2],z=e[6],I=e[10],N=P*s+z*l+I*f,D=P*b+z*x+I*_,F=P*M+z*T+I*k;m=Math.asin(c(N)),y=Math.atan2(F,D)}this.angle.jump(t,y,m),this.recalcMatrix(t);var j=e[2],B=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,X=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-j*W,G-B*W,X-U*W)},d.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},d.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},d.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},d.setDistance=function(t,e){e&gt;0&amp;&amp;this.radius.set(t,Math.log(e))},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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n=t(&quot;./arrow_paths&quot;),i=t(&quot;../../plots/font_attributes&quot;),a=t(&quot;../../plots/cartesian/constants&quot;),o=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=o(&quot;annotation&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},text:{valType:&quot;string&quot;,editType:&quot;calc+arraydraw&quot;},textangle:{valType:&quot;angle&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},font:i({editType:&quot;calc+arraydraw&quot;,colorEditType:&quot;arraydraw&quot;}),width:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},height:{valType:&quot;number&quot;,min:1,dflt:null,editType:&quot;calc+arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},align:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;center&quot;,editType:&quot;arraydraw&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;arraydraw&quot;},bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;arraydraw&quot;},borderpad:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;calc+arraydraw&quot;},showarrow:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc+arraydraw&quot;},arrowcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},arrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},startarrowhead:{valType:&quot;integer&quot;,min:0,max:n.length,dflt:1,editType:&quot;arraydraw&quot;},arrowside:{valType:&quot;flaglist&quot;,flags:[&quot;end&quot;,&quot;start&quot;],extras:[&quot;none&quot;],dflt:&quot;end&quot;,editType:&quot;arraydraw&quot;},arrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},startarrowsize:{valType:&quot;number&quot;,min:.3,dflt:1,editType:&quot;calc+arraydraw&quot;},arrowwidth:{valType:&quot;number&quot;,min:.1,editType:&quot;calc+arraydraw&quot;},standoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},startstandoff:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc+arraydraw&quot;},ax:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},ay:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},axref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},ayref:{valType:&quot;enumerated&quot;,dflt:&quot;pixel&quot;,values:[&quot;pixel&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.x.toString()],editType:&quot;calc&quot;},x:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},xshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,a.idRegex.y.toString()],editType:&quot;calc&quot;},y:{valType:&quot;any&quot;,editType:&quot;calc+arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;calc+arraydraw&quot;},yshift:{valType:&quot;number&quot;,dflt:0,editType:&quot;calc+arraydraw&quot;},clicktoshow:{valType:&quot;enumerated&quot;,values:[!1,&quot;onoff&quot;,&quot;onout&quot;],dflt:!1,editType:&quot;arraydraw&quot;},xclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},yclick:{valType:&quot;any&quot;,editType:&quot;arraydraw&quot;},hovertext:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;arraydraw&quot;},font:i({editType:&quot;arraydraw&quot;}),editType:&quot;arraydraw&quot;},captureevents:{valType:&quot;boolean&quot;,editType:&quot;arraydraw&quot;},editType:&quot;calc&quot;,_deprecated:{ref:{valType:&quot;string&quot;,editType:&quot;calc&quot;}}})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/font_attributes&quot;:567,&quot;./arrow_paths&quot;:360}],362:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;./draw&quot;).draw;function o(t){var e=t._fullLayout;n.filterVisible(e.annotations).forEach(function(e){var r=i.getFromId(t,e.xref),n=i.getFromId(t,e.yref);e._extremes={},r&amp;&amp;s(e,r),n&amp;&amp;s(e,n)})}function s(t,e){var r,n=e._id,a=n.charAt(0),o=t[a],s=t[&quot;a&quot;+a],l=t[a+&quot;ref&quot;],u=t[&quot;a&quot;+a+&quot;ref&quot;],c=t[&quot;_&quot;+a+&quot;padplus&quot;],f=t[&quot;_&quot;+a+&quot;padminus&quot;],h={x:1,y:-1}[a]*t[a+&quot;shift&quot;],d=3*t.arrowsize*t.arrowwidth||0,p=d+h,g=d-h,v=3*t.startarrowsize*t.arrowwidth||0,m=v+h,y=v-h;if(u===l){var b=i.findExtremes(e,[e.r2c(o)],{ppadplus:p,ppadminus:g}),x=i.findExtremes(e,[e.r2c(s)],{ppadplus:Math.max(c,m),ppadminus:Math.max(f,y)});r={min:[b.min[0],x.min[0]],max:[b.max[0],x.max[0]]}}else m=s?m+s:m,y=s?y-s:y,r=i.findExtremes(e,[e.r2c(o)],{ppadplus:Math.max(c,p,m),ppadminus:Math.max(f,g,y)});t._extremes[n]=r}e.exports=function(t){var e=t._fullLayout;if(n.filterVisible(e.annotations).length&amp;&amp;t._fullData.length)return n.syncOrAsync([a,o],t)}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./draw&quot;:367}],363:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plot_api/plot_template&quot;).arrayEditor;function o(t,e){var r,n,i,a,o,l,u,c=t._fullLayout.annotations,f=[],h=[],d=[],p=(e||[]).length;for(r=0;r&lt;c.length;r++)if(a=(i=c[r]).clicktoshow){for(n=0;n&lt;p;n++)if(l=(o=e[n]).xaxis,u=o.yaxis,l._id===i.xref&amp;&amp;u._id===i.yref&amp;&amp;l.d2r(o.x)===s(i._xclick,l)&amp;&amp;u.d2r(o.y)===s(i._yclick,u)){(i.visible?&quot;onout&quot;===a?h:d:f).push(r);break}n===p&amp;&amp;i.visible&amp;&amp;&quot;onout&quot;===a&amp;&amp;h.push(r)}return{on:f,off:h,explicitOff:d}}function s(t,e){return&quot;log&quot;===e.type?e.l2r(t):e.d2r(t)}e.exports={hasClickToShow:function(t,e){var r=o(t,e);return r.on.length&gt;0||r.explicitOff.length&gt;0},onClick:function(t,e){var r,s,l=o(t,e),u=l.on,c=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!u.length&amp;&amp;!c.length)return;for(r=0;r&lt;u.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[u[r]])).modifyItem(&quot;visible&quot;,!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r&lt;c.length;r++)(s=a(t.layout,&quot;annotations&quot;,h[c[r]])).modifyItem(&quot;visible&quot;,!1),n.extendFlat(f,s.getUpdateObj());return i.call(&quot;update&quot;,t,{},f)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../registry&quot;:592}],364:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;);e.exports=function(t,e,r,a){a(&quot;opacity&quot;);var o=a(&quot;bgcolor&quot;),s=a(&quot;bordercolor&quot;),l=i.opacity(s);a(&quot;borderpad&quot;);var u=a(&quot;borderwidth&quot;),c=a(&quot;showarrow&quot;);if(a(&quot;text&quot;,c?&quot; &quot;:r._dfltTitle.annotation),a(&quot;textangle&quot;),n.coerceFont(a,&quot;font&quot;,r.font),a(&quot;width&quot;),a(&quot;align&quot;),a(&quot;height&quot;)&amp;&amp;a(&quot;valign&quot;),c){var f,h,d=a(&quot;arrowside&quot;);-1!==d.indexOf(&quot;end&quot;)&amp;&amp;(f=a(&quot;arrowhead&quot;),h=a(&quot;arrowsize&quot;)),-1!==d.indexOf(&quot;start&quot;)&amp;&amp;(a(&quot;startarrowhead&quot;,f),a(&quot;startarrowsize&quot;,h)),a(&quot;arrowcolor&quot;,l?e.bordercolor:i.defaultLine),a(&quot;arrowwidth&quot;,2*(l&amp;&amp;u||1)),a(&quot;standoff&quot;),a(&quot;startstandoff&quot;)}var p=a(&quot;hovertext&quot;),g=r.hoverlabel||{};if(p){var v=a(&quot;hoverlabel.bgcolor&quot;,g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),m=a(&quot;hoverlabel.bordercolor&quot;,g.bordercolor||i.contrast(v));n.coerceFont(a,&quot;hoverlabel.font&quot;,{family:g.font.family,size:g.font.size,color:g.font.color||m})}a(&quot;captureevents&quot;,!!p)}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376}],365:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h&lt;c.length;h++)l=c[h],u=&quot;annotations[&quot;+h+&quot;].&quot;,l[f+&quot;ref&quot;]===e._id&amp;&amp;d(f),l[&quot;a&quot;+f+&quot;ref&quot;]===e._id&amp;&amp;d(&quot;a&quot;+f);function d(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(u+t,s)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],366:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(&quot;visible&quot;),u=a(&quot;clicktoshow&quot;);if(l||u){o(t,e,r,a);for(var c=e.showarrow,f=[&quot;x&quot;,&quot;y&quot;],h=[-10,-30],d={_fullLayout:r},p=0;p&lt;2;p++){var g=f[p],v=i.coerceRef(t,e,d,g,&quot;&quot;,&quot;paper&quot;);if(&quot;paper&quot;!==v)i.getFromId(d,v)._annIndices.push(e._index);if(i.coercePosition(e,d,a,v,g,.5),c){var m=&quot;a&quot;+g,y=i.coerceRef(t,e,d,m,&quot;pixel&quot;);&quot;pixel&quot;!==y&amp;&amp;y!==v&amp;&amp;(y=e[m]=&quot;pixel&quot;);var b=&quot;pixel&quot;===y?h[p]:.4;i.coercePosition(e,d,a,y,m,b)}a(g+&quot;anchor&quot;),a(g+&quot;shift&quot;)}if(n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),c&amp;&amp;n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;]),u){var x=a(&quot;xclick&quot;),_=a(&quot;yclick&quot;);e._xclick=void 0===x?e.x:i.cleanPosition(x,d,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,d,e.yref)}}}e.exports=function(t,e){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:361,&quot;./common_defaults&quot;:364}],367:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../plots/cartesian/axes&quot;),l=t(&quot;../color&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../fx&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;../../lib/setcursor&quot;),d=t(&quot;../dragelement&quot;),p=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,g=t(&quot;./draw_arrow_head&quot;);function v(t,e){var r=t._fullLayout.annotations[e]||{},n=s.getFromId(t,r.xref),i=s.getFromId(t,r.yref);n&amp;&amp;n.setScale(),i&amp;&amp;i.setScale(),m(t,r,e,!1,n,i)}function m(t,e,r,a,s,v){var m,y,b=t._fullLayout,x=t._fullLayout._size,_=t._context.edits;a?(m=&quot;annotation-&quot;+a,y=a+&quot;.annotations&quot;):(m=&quot;annotation&quot;,y=&quot;annotations&quot;);var w=p(t.layout,y,e),A=w.modifyBase,M=w.modifyItem,T=w.getUpdateObj;b._infolayer.selectAll(&quot;.&quot;+m+&#x27;[data-index=&quot;&#x27;+r+&#x27;&quot;]&#x27;).remove();var k=&quot;clip&quot;+b._uid+&quot;_ann&quot;+r;if(e._input&amp;&amp;!1!==e.visible){var E={x:{},y:{}},L=+e.textangle||0,S=b._infolayer.append(&quot;g&quot;).classed(m,!0).attr(&quot;data-index&quot;,String(r)).style(&quot;opacity&quot;,e.opacity),C=S.append(&quot;g&quot;).classed(&quot;annotation-text-g&quot;,!0),O=_[e.showarrow?&quot;annotationTail&quot;:&quot;annotationPosition&quot;],R=e.captureevents||_.annotationText||O,P=C.append(&quot;g&quot;).style(&quot;pointer-events&quot;,R?&quot;all&quot;:null).call(h,&quot;pointer&quot;).on(&quot;click&quot;,function(){t._dragging=!1;var i={index:r,annotation:e._input,fullAnnotation:e,event:n.event};a&amp;&amp;(i.subplotId=a),t.emit(&quot;plotly_clickannotation&quot;,i)});e.hovertext&amp;&amp;P.on(&quot;mouseover&quot;,function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();c.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:b._hoverlayer.node(),outerContainer:b._paper.node(),gd:t})}).on(&quot;mouseout&quot;,function(){c.loneUnhover(b._hoverlayer.node())});var z=e.borderwidth,I=e.borderpad,N=z+I,D=P.append(&quot;rect&quot;).attr(&quot;class&quot;,&quot;bg&quot;).style(&quot;stroke-width&quot;,z+&quot;px&quot;).call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),F=e.width||e.height,j=b._topclips.selectAll(&quot;#&quot;+k).data(F?[0]:[]);j.enter().append(&quot;clipPath&quot;).classed(&quot;annclip&quot;,!0).attr(&quot;id&quot;,k).append(&quot;rect&quot;),j.exit().remove();var B=e.font,U=b.meta?o.templateString(e.text,{meta:b.meta}):e.text,V=P.append(&quot;text&quot;).classed(&quot;annotation-text&quot;,!0).text(U);_.annotationText?V.call(f.makeEditable,{delegate:P,gd:t}).call(H).on(&quot;edit&quot;,function(r){e.text=r,this.call(H),M(&quot;text&quot;,r),s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0),i.call(&quot;_guiRelayout&quot;,t,T())}):V.call(H)}else n.selectAll(&quot;#&quot;+k).remove();function H(r){return r.call(u.font,B).attr({&quot;text-anchor&quot;:{left:&quot;start&quot;,right:&quot;end&quot;}[e.align]||&quot;middle&quot;}),f.convertToTspans(r,t,q),r}function q(){var r=V.selectAll(&quot;a&quot;);1===r.size()&amp;&amp;r.text()===V.text()&amp;&amp;P.insert(&quot;a&quot;,&quot;:first-child&quot;).attr({&quot;xlink:xlink:href&quot;:r.attr(&quot;xlink:href&quot;),&quot;xlink:xlink:show&quot;:r.attr(&quot;xlink:show&quot;)}).style({cursor:&quot;pointer&quot;}).node().appendChild(D.node());var n=P.select(&quot;.annotation-text-math-group&quot;),c=!n.empty(),p=u.bBox((c?n:V).node()),m=p.width,y=p.height,w=e.width||m,R=e.height||y,I=Math.round(w+2*N),B=Math.round(R+2*N);function U(t,e){return&quot;auto&quot;===e&amp;&amp;(e=t&lt;1/3?&quot;left&quot;:t&gt;2/3?&quot;right&quot;:&quot;center&quot;),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,q=[&quot;x&quot;,&quot;y&quot;],G=0;G&lt;q.length;G++){var X,W,Y,Z,Q,$=q[G],J=e[$+&quot;ref&quot;]||$,K=e[&quot;a&quot;+$+&quot;ref&quot;],tt={x:s,y:v}[$],et=(L+(&quot;x&quot;===$?0:-90))*Math.PI/180,rt=I*Math.cos(et),nt=B*Math.sin(et),it=Math.abs(rt)+Math.abs(nt),at=e[$+&quot;anchor&quot;],ot=e[$+&quot;shift&quot;]*(&quot;x&quot;===$?1:-1),st=E[$];if(tt){var lt=tt.r2fraction(e[$]);(lt&lt;0||lt&gt;1)&amp;&amp;(K===J?((lt=tt.r2fraction(e[&quot;a&quot;+$]))&lt;0||lt&gt;1)&amp;&amp;(H=!0):H=!0),X=tt._offset+tt.r2p(e[$]),Z=.5}else&quot;x&quot;===$?(Y=e[$],X=x.l+x.w*Y):(Y=1-e[$],X=x.t+x.h*Y),Z=e.showarrow?.5:Y;if(e.showarrow){st.head=X;var ut=e[&quot;a&quot;+$];Q=rt*U(.5,e.xanchor)-nt*U(.5,e.yanchor),K===J?(st.tail=tt._offset+tt.r2p(ut),W=Q):(st.tail=X+ut,W=Q+ut),st.text=st.tail+Q;var ct=b[&quot;x&quot;===$?&quot;width&quot;:&quot;height&quot;];if(&quot;paper&quot;===J&amp;&amp;(st.head=o.constrain(st.head,1,ct-1)),&quot;pixel&quot;===K){var ft=-Math.max(st.tail-3,st.text),ht=Math.min(st.tail+3,st.text)-ct;ft&gt;0?(st.tail+=ft,st.text+=ft):ht&gt;0&amp;&amp;(st.tail-=ht,st.text-=ht)}st.tail+=ot,st.head+=ot}else W=Q=it*U(Z,at),st.text=X+Q;st.text+=ot,Q+=ot,W+=ot,e[&quot;_&quot;+$+&quot;padplus&quot;]=it/2+W,e[&quot;_&quot;+$+&quot;padminus&quot;]=it/2-W,e[&quot;_&quot;+$+&quot;size&quot;]=it,e[&quot;_&quot;+$+&quot;shift&quot;]=Q}if(t._dragging||!H){var dt=0,pt=0;if(&quot;left&quot;!==e.align&amp;&amp;(dt=(w-m)*(&quot;center&quot;===e.align?.5:1)),&quot;top&quot;!==e.valign&amp;&amp;(pt=(R-y)*(&quot;middle&quot;===e.valign?.5:1)),c)n.select(&quot;svg&quot;).attr({x:N+dt-1,y:N+pt}).call(u.setClipUrl,F?k:null,t);else{var gt=N+pt-p.top,vt=N+dt-p.left;V.call(f.positionText,vt,gt).call(u.setClipUrl,F?k:null,t)}j.select(&quot;rect&quot;).call(u.setRect,N,N,w,R),D.call(u.setRect,z/2,z/2,I-z,B-z),P.call(u.setTranslate,Math.round(E.x.text-I/2),Math.round(E.y.text-B/2)),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+E.x.text+&quot;,&quot;+E.y.text+&quot;)&quot;});var mt,yt=function(r,n){S.selectAll(&quot;.annotation-arrow-g&quot;).remove();var c=E.x.head,f=E.y.head,h=E.x.tail+r,p=E.y.tail+n,m=E.x.text+r,y=E.y.text+n,b=o.rotationXYMatrix(L,m,y),w=o.apply2DTransform(b),k=o.apply2DTransform2(b),O=+D.attr(&quot;width&quot;),R=+D.attr(&quot;height&quot;),z=m-.5*O,I=z+O,N=y-.5*R,F=N+R,j=[[z,N,z,F],[z,F,I,F],[I,F,I,N],[I,N,z,N]].map(k);if(!j.reduce(function(t,e){return t^!!o.segmentsIntersect(c,f,c+1e6,f+1e6,e[0],e[1],e[2],e[3])},!1)){j.forEach(function(t){var e=o.segmentsIntersect(h,p,c,f,t[0],t[1],t[2],t[3]);e&amp;&amp;(h=e.x,p=e.y)});var B=e.arrowwidth,U=e.arrowcolor,V=e.arrowside,H=S.append(&quot;g&quot;).style({opacity:l.opacity(U)}).classed(&quot;annotation-arrow-g&quot;,!0),q=H.append(&quot;path&quot;).attr(&quot;d&quot;,&quot;M&quot;+h+&quot;,&quot;+p+&quot;L&quot;+c+&quot;,&quot;+f).style(&quot;stroke-width&quot;,B+&quot;px&quot;).call(l.stroke,l.rgb(U));if(g(q,V,e),_.annotationPosition&amp;&amp;q.node().parentNode&amp;&amp;!a){var G=c,X=f;if(e.standoff){var W=Math.sqrt(Math.pow(c-h,2)+Math.pow(f-p,2));G+=e.standoff*(h-c)/W,X+=e.standoff*(p-f)/W}var Y,Z,Q=H.append(&quot;path&quot;).classed(&quot;annotation-arrow&quot;,!0).classed(&quot;anndrag&quot;,!0).classed(&quot;cursor-move&quot;,!0).attr({d:&quot;M3,3H-3V-3H3ZM0,0L&quot;+(h-G)+&quot;,&quot;+(p-X),transform:&quot;translate(&quot;+G+&quot;,&quot;+X+&quot;)&quot;}).style(&quot;stroke-width&quot;,B+6+&quot;px&quot;).call(l.stroke,&quot;rgba(0,0,0,0)&quot;).call(l.fill,&quot;rgba(0,0,0,0)&quot;);d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(P);Y=t.x,Z=t.y,s&amp;&amp;s.autorange&amp;&amp;A(s._name+&quot;.autorange&quot;,!0),v&amp;&amp;v.autorange&amp;&amp;A(v._name+&quot;.autorange&quot;,!0)},moveFn:function(t,r){var n=w(Y,Z),i=n[0]+t,a=n[1]+r;P.call(u.setTranslate,i,a),M(&quot;x&quot;,s?s.p2r(s.r2p(e.x)+t):e.x+t/x.w),M(&quot;y&quot;,v?v.p2r(v.r2p(e.y)+r):e.y-r/x.h),e.axref===e.xref&amp;&amp;M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&amp;&amp;M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)),H.attr(&quot;transform&quot;,&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;),C.attr({transform:&quot;rotate(&quot;+L+&quot;,&quot;+i+&quot;,&quot;+a+&quot;)&quot;})},doneFn:function(){i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}}};if(e.showarrow&amp;&amp;yt(0,0),O)d.init({element:P.node(),gd:t,prepFn:function(){mt=C.attr(&quot;transform&quot;)},moveFn:function(t,r){var n=&quot;pointer&quot;;if(e.showarrow)e.axref===e.xref?M(&quot;ax&quot;,s.p2r(s.r2p(e.ax)+t)):M(&quot;ax&quot;,e.ax+t),e.ayref===e.yref?M(&quot;ay&quot;,v.p2r(v.r2p(e.ay)+r)):M(&quot;ay&quot;,e.ay+r),yt(t,r);else{if(a)return;var i,o;if(s)i=s.p2r(s.r2p(e.x)+t);else{var l=e._xsize/x.w,u=e.x+(e._xshift-e.xshift)/x.w-l/2;i=d.align(u+t/x.w,l,0,1,e.xanchor)}if(v)o=v.p2r(v.r2p(e.y)+r);else{var c=e._ysize/x.h,f=e.y-(e._yshift+e.yshift)/x.h-c/2;o=d.align(f-r/x.h,c,0,1,e.yanchor)}M(&quot;x&quot;,i),M(&quot;y&quot;,o),s&amp;&amp;v||(n=d.getCursor(s?.5:i,v?.5:o,e.xanchor,e.yanchor))}C.attr({transform:&quot;translate(&quot;+t+&quot;,&quot;+r+&quot;)&quot;+mt}),h(P,n)},doneFn:function(){h(P),i.call(&quot;_guiRelayout&quot;,t,T());var e=document.querySelector(&quot;.js-notes-box-panel&quot;);e&amp;&amp;e.redraw(e.selectedObj)}})}else P.remove()}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(&quot;.annotation&quot;).remove();for(var r=0;r&lt;e.annotations.length;r++)e.annotations[r].visible&amp;&amp;v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:m}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../fx&quot;:415,&quot;./draw_arrow_head&quot;:368,d3:81}],368:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;./arrow_paths&quot;);e.exports=function(t,e,r){var o,s,l,u,c=t.node(),f=a[r.arrowhead||0],h=a[r.startarrowhead||0],d=(r.arrowwidth||1)*(r.arrowsize||1),p=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf(&quot;start&quot;)&gt;=0,v=e.indexOf(&quot;end&quot;)&gt;=0,m=f.backoff*d+r.standoff,y=h.backoff*p+r.startstandoff;if(&quot;line&quot;===c.nodeName){o={x:+t.attr(&quot;x1&quot;),y:+t.attr(&quot;y1&quot;)},s={x:+t.attr(&quot;x2&quot;),y:+t.attr(&quot;y2&quot;)};var b=o.x-s.x,x=o.y-s.y;if(u=(l=Math.atan2(x,b))+Math.PI,m&amp;&amp;y&amp;&amp;m+y&gt;Math.sqrt(b*b+x*x))return void O();if(m){if(m*m&gt;b*b+x*x)return void O();var _=m*Math.cos(l),w=m*Math.sin(l);s.x+=_,s.y+=w,t.attr({x2:s.x,y2:s.y})}if(y){if(y*y&gt;b*b+x*x)return void O();var A=y*Math.cos(l),M=y*Math.sin(l);o.x-=A,o.y-=M,t.attr({x1:o.x,y1:o.y})}}else if(&quot;path&quot;===c.nodeName){var T=c.getTotalLength(),k=&quot;&quot;;if(T&lt;m+y)return void O();var E=c.getPointAtLength(0),L=c.getPointAtLength(.1);l=Math.atan2(E.y-L.y,E.x-L.x),o=c.getPointAtLength(Math.min(y,T)),k=&quot;0px,&quot;+y+&quot;px,&quot;;var S=c.getPointAtLength(T),C=c.getPointAtLength(T-.1);u=Math.atan2(S.y-C.y,S.x-C.x),s=c.getPointAtLength(Math.max(0,T-m)),k+=T-(k?y+m:m)+&quot;px,&quot;+T+&quot;px&quot;,t.style(&quot;stroke-dasharray&quot;,k)}function O(){t.style(&quot;stroke-dasharray&quot;,&quot;0px,100px&quot;)}function R(e,a,o,s){e.path&amp;&amp;(e.noRotate&amp;&amp;(o=0),n.select(c.parentNode).append(&quot;path&quot;).attr({class:t.attr(&quot;class&quot;),d:e.path,transform:&quot;translate(&quot;+a.x+&quot;,&quot;+a.y+&quot;)&quot;+(o?&quot;rotate(&quot;+180*o/Math.PI+&quot;)&quot;:&quot;&quot;)+&quot;scale(&quot;+s+&quot;)&quot;}).style({fill:i.rgb(r.arrowcolor),&quot;stroke-width&quot;:0}))}g&amp;&amp;R(h,o,l,p),v&amp;&amp;R(f,s,u,d)}},{&quot;../color&quot;:376,&quot;./arrow_paths&quot;:360,d3:81}],369:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;),i=t(&quot;./click&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;annotations&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:361,&quot;./calc_autorange&quot;:362,&quot;./click&quot;:363,&quot;./convert_coords&quot;:365,&quot;./defaults&quot;:366,&quot;./draw&quot;:367}],370:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/attributes&quot;),i=t(&quot;../../plot_api/edit_types&quot;).overrideAll,a=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(a(&quot;annotation&quot;,{visible:n.visible,x:{valType:&quot;any&quot;},y:{valType:&quot;any&quot;},z:{valType:&quot;any&quot;},ax:{valType:&quot;number&quot;},ay:{valType:&quot;number&quot;},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),&quot;calc&quot;,&quot;from-root&quot;)},{&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../annotations/attributes&quot;:361}],371:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:&quot;linear&quot;,autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}e.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r&lt;e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(&quot;.annotation-&quot;+t.id).remove()}},{&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541}],372:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;../annotations/common_defaults&quot;),s=t(&quot;./attributes&quot;);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+&quot;axis&quot;,a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(&quot;visible&quot;)&amp;&amp;(o(t,e,a.fullLayout,l),u(&quot;x&quot;),u(&quot;y&quot;),u(&quot;z&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;]),e.xref=&quot;x&quot;,e.yref=&quot;y&quot;,e.zref=&quot;z&quot;,l(&quot;xanchor&quot;),l(&quot;yanchor&quot;),l(&quot;xshift&quot;),l(&quot;yshift&quot;),e.showarrow&amp;&amp;(e.axref=&quot;pixel&quot;,e.ayref=&quot;pixel&quot;,l(&quot;ax&quot;,-10),l(&quot;ay&quot;,-30),n.noneOrAll(t,e,[&quot;ax&quot;,&quot;ay&quot;])))}e.exports=function(t,e,r){a(t,e,{name:&quot;annotations&quot;,handleItemDefaults:l,fullLayout:r.fullLayout})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;../annotations/common_defaults&quot;:364,&quot;./attributes&quot;:370}],373:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../annotations/draw&quot;).drawRaw,i=t(&quot;../../plots/gl3d/project&quot;),a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s&lt;o.length;s++){for(var l=o[s],u=!1,c=0;c&lt;3;c++){var f=a[c],h=l[f],d=e[f+&quot;axis&quot;].r2fraction(h);if(d&lt;0||d&gt;1){u=!0;break}}u?t.fullLayout._infolayer.select(&quot;.annotation-&quot;+t.id+&#x27;[data-index=&quot;&#x27;+s+&#x27;&quot;]&#x27;).remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{&quot;../../plots/gl3d/project&quot;:579,&quot;../annotations/draw&quot;:367}],374:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;annotations3d&quot;,schema:{subplots:{scene:{annotations:t(&quot;./attributes&quot;)}}},layoutAttributes:t(&quot;./attributes&quot;),handleDefaults:t(&quot;./defaults&quot;),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var a=r.attrRegex,o=Object.keys(t),s=0;s&lt;o.length;s++){var l=o[s];a.test(l)&amp;&amp;(t[l].annotations||[]).length&amp;&amp;(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:t(&quot;./convert&quot;),draw:t(&quot;./draw&quot;)}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:370,&quot;./convert&quot;:371,&quot;./defaults&quot;:372,&quot;./draw&quot;:373}],375:[function(t,e,r){&quot;use strict&quot;;r.defaults=[&quot;#1f77b4&quot;,&quot;#ff7f0e&quot;,&quot;#2ca02c&quot;,&quot;#d62728&quot;,&quot;#9467bd&quot;,&quot;#8c564b&quot;,&quot;#e377c2&quot;,&quot;#7f7f7f&quot;,&quot;#bcbd22&quot;,&quot;#17becf&quot;],r.defaultLine=&quot;#444&quot;,r.lightLine=&quot;#eee&quot;,r.background=&quot;#fff&quot;,r.borderLine=&quot;#BEC8D9&quot;,r.lightFraction=1e3/11},{}],376:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i=t(&quot;fast-isnumeric&quot;),a=e.exports={},o=t(&quot;./attributes&quot;);a.defaults=o.defaults;var s=a.defaultLine=o.defaultLine;a.lightLine=o.lightLine;var l=a.background=o.background;function u(t){if(i(t)||&quot;string&quot;!=typeof t)return t;var e=t.trim();if(&quot;rgb&quot;!==e.substr(0,3))return t;var r=e.match(/^rgba?\\s*\\(([^()]*)\\)$/);if(!r)return t;var n=r[1].trim().split(/\\s*[\\s,]\\s*/),a=&quot;a&quot;===e.charAt(3)&amp;&amp;4===n.length;if(!a&amp;&amp;3!==n.length)return t;for(var o=0;o&lt;n.length;o++){if(!n[o].length)return t;if(n[o]=Number(n[o]),!(n[o]&gt;=0))return t;if(3===o)n[o]&gt;1&amp;&amp;(n[o]=1);else if(n[o]&gt;=1)return t}var s=Math.round(255*n[0])+&quot;, &quot;+Math.round(255*n[1])+&quot;, &quot;+Math.round(255*n[2]);return a?&quot;rgba(&quot;+s+&quot;, &quot;+n[3]+&quot;)&quot;:&quot;rgb(&quot;+s+&quot;)&quot;}a.tinyRGB=function(t){var e=t.toRgb();return&quot;rgb(&quot;+Math.round(e.r)+&quot;, &quot;+Math.round(e.g)+&quot;, &quot;+Math.round(e.b)+&quot;)&quot;},a.rgb=function(t){return a.tinyRGB(n(t))},a.opacity=function(t){return t?n(t).getAlpha():0},a.addOpacity=function(t,e){var r=n(t).toRgb();return&quot;rgba(&quot;+Math.round(r.r)+&quot;, &quot;+Math.round(r.g)+&quot;, &quot;+Math.round(r.b)+&quot;, &quot;+e+&quot;)&quot;},a.combine=function(t,e){var r=n(t).toRgb();if(1===r.a)return n(t).toRgbString();var 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n={propContainer:et,propName:E(&quot;title&quot;),traceIndex:k().index,placeholder:v._dfltTitle.colorbar,containerGroup:st.select(&quot;.cbtitle&quot;)},i=&quot;h&quot;===e.charAt(0)?e.substr(1):&quot;h&quot;+e;st.selectAll(&quot;.&quot;+i+&quot;,.&quot;+i+&quot;-math-group&quot;).remove(),p.draw(t,e,c(n,r||{}))}v._infolayer.selectAll(&quot;g.&quot;+e).remove()}function k(){for(var r=e.substr(2),n=0;n&lt;t._fullData.length;n++){var i=t._fullData[n];if(i.uid===r)return i}}function E(t){var e=&quot;colorbar.&quot;,r=k()._module.colorbar.container;return r&amp;&amp;(e=r+&quot;.&quot;+e),e+t}return r.fillcolor=null,r.line={color:null,width:null,dash:null},r.levels={start:null,end:null,size:null},r.filllevels=null,r.fillgradient=null,r.zrange=null,Object.keys(r).forEach(function(t){T[t]=function(e){return arguments.length?(r[t]=u.isPlainObject(r[t])?u.extendFlat(r[t],e):e,T):r[t]}}),T.options=function(t){for(var e in t)&quot;function&quot;==typeof T[e]&amp;&amp;T[e](t[e]);return T},T._opts=r,T}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/extend&quot;:488,&quot;../../lib/setcursor&quot;:514,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../plots/cartesian/axis_defaults&quot;:543,&quot;../../plots/cartesian/layout_attributes&quot;:553,&quot;../../plots/cartesian/position_defaults&quot;:556,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;../titles&quot;:464,&quot;./attributes&quot;:377,&quot;./constants&quot;:379,d3:81,tinycolor2:342}],382:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t){return n.isPlainObject(t.colorbar)}},{&quot;../../lib&quot;:495}],383:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales.js&quot;).scales;Object.keys(n);function i(t){return&quot;`&quot;+t+&quot;`&quot;}e.exports=function(t,e){t=t||&quot;&quot;;var r,a=(e=e||{}).cLetter||&quot;c&quot;,o=(&quot;onlyIfNumerical&quot;in e?e.onlyIfNumerical:Boolean(t),&quot;noScale&quot;in e?e.noScale:&quot;marker.line&quot;===t),s=&quot;showScaleDflt&quot;in e?e.showScaleDflt:&quot;z&quot;===a,l=&quot;string&quot;==typeof e.colorscaleDflt?n[e.colorscaleDflt]:null,u=e.editTypeOverride||&quot;&quot;,c=t?t+&quot;.&quot;:&quot;&quot;;&quot;colorAttr&quot;in e?(r=e.colorAttr,e.colorAttr):i(c+(r={z:&quot;z&quot;,c:&quot;color&quot;}[a]));var f=a+&quot;auto&quot;,h=a+&quot;min&quot;,d=a+&quot;max&quot;,p=a+&quot;mid&quot;,g=(i(c+f),i(c+h),i(c+d),{});g[h]=g[d]=void 0;var v={};v[f]=!1;var m={};return&quot;color&quot;===r&amp;&amp;(m.color={valType:&quot;color&quot;,arrayOk:!0,editType:u||&quot;style&quot;},e.anim&amp;&amp;(m.color.anim=!0)),m[f]={valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:g},m[h]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[d]={valType:&quot;number&quot;,dflt:null,editType:u||&quot;plot&quot;,impliedEdits:v},m[p]={valType:&quot;number&quot;,dflt:null,editType:&quot;calc&quot;,impliedEdits:g},m.colorscale={valType:&quot;colorscale&quot;,editType:&quot;calc&quot;,dflt:l,impliedEdits:{autocolorscale:!1}},m.autocolorscale={valType:&quot;boolean&quot;,dflt:!1!==e.autoColorDflt,editType:&quot;calc&quot;,impliedEdits:{colorscale:void 0}},m.reversescale={valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},o||(m.showscale={valType:&quot;boolean&quot;,dflt:s,editType:&quot;calc&quot;}),m}},{&quot;./scales.js&quot;:391}],384:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r){var i=t._fullLayout,a=r.vals,o=r.containerStr,s=r.cLetter,l=o?n.nestedProperty(e,o).get():e,u=s+&quot;min&quot;,c=s+&quot;max&quot;,f=s+&quot;mid&quot;,h=l[s+&quot;auto&quot;],d=l[u],p=l[c],g=l[f],v=l.colorscale;!1===h&amp;&amp;void 0!==d||(d=n.aggNums(Math.min,null,a)),!1===h&amp;&amp;void 0!==p||(p=n.aggNums(Math.max,null,a)),!1!==h&amp;&amp;void 0!==g&amp;&amp;(p-g&gt;g-d?d=g-(p-g):p-g&lt;g-d&amp;&amp;(p=g+(g-d))),d===p&amp;&amp;(d-=.5,p+=.5),l[&quot;_&quot;+u]=l[u]=d,l[&quot;_&quot;+c]=l[c]=p,l.autocolorscale&amp;&amp;(v=d*p&lt;0?i.colorscale.diverging:d&gt;=0?i.colorscale.sequential:i.colorscale.sequentialminus,l._colorscale=l.colorscale=v)}},{&quot;../../lib&quot;:495}],385:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./helpers&quot;).hasColorscale;e.exports=function(t){function e(t,e){var r=t[&quot;_&quot;+e];void 0!==r&amp;&amp;(t[e]=r)}function r(t,r){var i=r.container?n.nestedProperty(t,r.container).get():t;if(i){var a=i.zauto||i.cauto,o=r.min,s=r.max;(a||void 0===i[o])&amp;&amp;e(i,o),(a||void 0===i[s])&amp;&amp;e(i,s),i.autocolorscale&amp;&amp;e(i,&quot;colorscale&quot;)}}for(var a=0;a&lt;t.length;a++){var o=t[a],s=o._module.colorbar;if(s)if(Array.isArray(s))for(var l=0;l&lt;s.length;l++)r(o,s[l]);else r(o,s);i(o,&quot;marker.line&quot;)&amp;&amp;r(o,{container:&quot;marker.line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}),i(o,&quot;line&quot;)&amp;&amp;r(o,{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;})}}},{&quot;../../lib&quot;:495,&quot;./helpers&quot;:387}],386:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../colorbar/has_colorbar&quot;),o=t(&quot;../colorbar/defaults&quot;),s=t(&quot;./scales&quot;).isValid;function l(t,e){var r=e.slice(0,e.length-1);return e?i.nestedProperty(t,r).get()||{}:t}e.exports=function(t,e,r,i,u){var c=u.prefix,f=u.cLetter,h=l(t,c),d=l(e,c),p=l(e._template||{},c)||{},g=h[f+&quot;min&quot;],v=h[f+&quot;max&quot;];i(c+f+&quot;auto&quot;,!(n(g)&amp;&amp;n(v)&amp;&amp;g&lt;v))?i(c+f+&quot;mid&quot;):(i(c+f+&quot;min&quot;),i(c+f+&quot;max&quot;));var m,y,b=h.colorscale,x=p.colorscale;(void 0!==b&amp;&amp;(m=!s(b)),void 0!==x&amp;&amp;(m=!s(x)),i(c+&quot;autocolorscale&quot;,m),i(c+&quot;colorscale&quot;),i(c+&quot;reversescale&quot;),u.noScale||&quot;marker.line.&quot;===c)||(c&amp;&amp;(y=a(h)),i(c+&quot;showscale&quot;,y)&amp;&amp;o(h,d,r))}},{&quot;../../lib&quot;:495,&quot;../colorbar/defaults&quot;:380,&quot;../colorbar/has_colorbar&quot;:382,&quot;./scales&quot;:391,&quot;fast-isnumeric&quot;:90}],387:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;tinycolor2&quot;),a=t(&quot;fast-isnumeric&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../color&quot;),l=t(&quot;./scales&quot;).isValid;function u(t){for(var e=t.length,r=new Array(e),n=e-1,i=0;n&gt;=0;n--,i++){var a=t[n];r[i]=[1-a[0],a[1]]}return r}function c(t){var e={r:t[0],g:t[1],b:t[2],a:t[3]};return i(e).toRgbString()}e.exports={hasColorscale:function(t,e){var r=e?o.nestedProperty(t,e).get()||{}:t,n=r.color,i=!1;if(o.isArrayOrTypedArray(n))for(var s=0;s&lt;n.length;s++)if(a(n[s])){i=!0;break}return o.isPlainObject(r)&amp;&amp;(i||!0===r.showscale||a(r.cmin)&amp;&amp;a(r.cmax)||l(r.colorscale)||o.isPlainObject(r.colorbar))},extractScale:function(t,e){for(var r=e.cLetter,n=t.reversescale?u(t.colorscale):t.colorscale,i=t[r+&quot;min&quot;],a=t[r+&quot;max&quot;],o=n.length,s=new Array(o),l=new Array(o),c=0;c&lt;o;c++){var f=n[c];s[c]=i+f[0]*(a-i),l[c]=f[1]}return{domain:s,range:l}},flipScale:u,makeColorScaleFunc:function(t,e){e=e||{};for(var r=t.domain,o=t.range,l=o.length,u=new Array(l),f=0;f&lt;l;f++){var h=i(o[f]).toRgb();u[f]=[h.r,h.g,h.b,h.a]}var d,p=n.scale.linear().domain(r).range(u).clamp(!0),g=e.noNumericCheck,v=e.returnArray;return(d=g&amp;&amp;v?p:g?function(t){return c(p(t))}:v?function(t){return a(t)?p(t):i(t).isValid()?t:s.defaultLine}:function(t){return a(t)?c(p(t)):i(t).isValid()?t:s.defaultLine}).domain=p.domain,d.range=function(){return o},d}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;./scales&quot;:391,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],388:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;),i=t(&quot;./helpers&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;colorscale&quot;,attributes:t(&quot;./attributes&quot;),layoutAttributes:t(&quot;./layout_attributes&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),handleDefaults:t(&quot;./defaults&quot;),crossTraceDefaults:t(&quot;./cross_trace_defaults&quot;),calc:t(&quot;./calc&quot;),scales:n.scales,defaultScale:n.defaultScale,getScale:n.get,isValidScale:n.isValid,hasColorscale:i.hasColorscale,flipScale:i.flipScale,extractScale:i.extractScale,makeColorScaleFunc:i.makeColorScaleFunc}},{&quot;./attributes&quot;:383,&quot;./calc&quot;:384,&quot;./cross_trace_defaults&quot;:385,&quot;./defaults&quot;:386,&quot;./helpers&quot;:387,&quot;./layout_attributes&quot;:389,&quot;./layout_defaults&quot;:390,&quot;./scales&quot;:391}],389:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./scales&quot;).scales;e.exports={editType:&quot;calc&quot;,sequential:{valType:&quot;colorscale&quot;,dflt:n.Reds,editType:&quot;calc&quot;},sequentialminus:{valType:&quot;colorscale&quot;,dflt:n.Blues,editType:&quot;calc&quot;},diverging:{valType:&quot;colorscale&quot;,dflt:n.RdBu,editType:&quot;calc&quot;}}},{&quot;./scales&quot;:391}],390:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;),a=t(&quot;../../plot_api/plot_template&quot;);e.exports=function(t,e){var r=t.colorscale,o=a.newContainer(e,&quot;colorscale&quot;);function s(t,e){return n.coerce(r,o,i,t,e)}s(&quot;sequential&quot;),s(&quot;sequentialminus&quot;),s(&quot;diverging&quot;)}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;./layout_attributes&quot;:389}],391:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;tinycolor2&quot;),i={Greys:[[0,&quot;rgb(0,0,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],YlGnBu:[[0,&quot;rgb(8,29,88)&quot;],[.125,&quot;rgb(37,52,148)&quot;],[.25,&quot;rgb(34,94,168)&quot;],[.375,&quot;rgb(29,145,192)&quot;],[.5,&quot;rgb(65,182,196)&quot;],[.625,&quot;rgb(127,205,187)&quot;],[.75,&quot;rgb(199,233,180)&quot;],[.875,&quot;rgb(237,248,217)&quot;],[1,&quot;rgb(255,255,217)&quot;]],Greens:[[0,&quot;rgb(0,68,27)&quot;],[.125,&quot;rgb(0,109,44)&quot;],[.25,&quot;rgb(35,139,69)&quot;],[.375,&quot;rgb(65,171,93)&quot;],[.5,&quot;rgb(116,196,118)&quot;],[.625,&quot;rgb(161,217,155)&quot;],[.75,&quot;rgb(199,233,192)&quot;],[.875,&quot;rgb(229,245,224)&quot;],[1,&quot;rgb(247,252,245)&quot;]],YlOrRd:[[0,&quot;rgb(128,0,38)&quot;],[.125,&quot;rgb(189,0,38)&quot;],[.25,&quot;rgb(227,26,28)&quot;],[.375,&quot;rgb(252,78,42)&quot;],[.5,&quot;rgb(253,141,60)&quot;],[.625,&quot;rgb(254,178,76)&quot;],[.75,&quot;rgb(254,217,118)&quot;],[.875,&quot;rgb(255,237,160)&quot;],[1,&quot;rgb(255,255,204)&quot;]],Bluered:[[0,&quot;rgb(0,0,255)&quot;],[1,&quot;rgb(255,0,0)&quot;]],RdBu:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(106,137,247)&quot;],[.5,&quot;rgb(190,190,190)&quot;],[.6,&quot;rgb(220,170,132)&quot;],[.7,&quot;rgb(230,145,90)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Reds:[[0,&quot;rgb(220,220,220)&quot;],[.2,&quot;rgb(245,195,157)&quot;],[.4,&quot;rgb(245,160,105)&quot;],[1,&quot;rgb(178,10,28)&quot;]],Blues:[[0,&quot;rgb(5,10,172)&quot;],[.35,&quot;rgb(40,60,190)&quot;],[.5,&quot;rgb(70,100,245)&quot;],[.6,&quot;rgb(90,120,245)&quot;],[.7,&quot;rgb(106,137,247)&quot;],[1,&quot;rgb(220,220,220)&quot;]],Picnic:[[0,&quot;rgb(0,0,255)&quot;],[.1,&quot;rgb(51,153,255)&quot;],[.2,&quot;rgb(102,204,255)&quot;],[.3,&quot;rgb(153,204,255)&quot;],[.4,&quot;rgb(204,204,255)&quot;],[.5,&quot;rgb(255,255,255)&quot;],[.6,&quot;rgb(255,204,255)&quot;],[.7,&quot;rgb(255,153,255)&quot;],[.8,&quot;rgb(255,102,204)&quot;],[.9,&quot;rgb(255,102,102)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Rainbow:[[0,&quot;rgb(150,0,90)&quot;],[.125,&quot;rgb(0,0,200)&quot;],[.25,&quot;rgb(0,25,255)&quot;],[.375,&quot;rgb(0,152,255)&quot;],[.5,&quot;rgb(44,255,150)&quot;],[.625,&quot;rgb(151,255,0)&quot;],[.75,&quot;rgb(255,234,0)&quot;],[.875,&quot;rgb(255,111,0)&quot;],[1,&quot;rgb(255,0,0)&quot;]],Portland:[[0,&quot;rgb(12,51,131)&quot;],[.25,&quot;rgb(10,136,186)&quot;],[.5,&quot;rgb(242,211,56)&quot;],[.75,&quot;rgb(242,143,56)&quot;],[1,&quot;rgb(217,30,30)&quot;]],Jet:[[0,&quot;rgb(0,0,131)&quot;],[.125,&quot;rgb(0,60,170)&quot;],[.375,&quot;rgb(5,255,255)&quot;],[.625,&quot;rgb(255,255,0)&quot;],[.875,&quot;rgb(250,0,0)&quot;],[1,&quot;rgb(128,0,0)&quot;]],Hot:[[0,&quot;rgb(0,0,0)&quot;],[.3,&quot;rgb(230,0,0)&quot;],[.6,&quot;rgb(255,210,0)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Blackbody:[[0,&quot;rgb(0,0,0)&quot;],[.2,&quot;rgb(230,0,0)&quot;],[.4,&quot;rgb(230,210,0)&quot;],[.7,&quot;rgb(255,255,255)&quot;],[1,&quot;rgb(160,200,255)&quot;]],Earth:[[0,&quot;rgb(0,0,130)&quot;],[.1,&quot;rgb(0,180,180)&quot;],[.2,&quot;rgb(40,210,40)&quot;],[.4,&quot;rgb(230,230,50)&quot;],[.6,&quot;rgb(120,70,20)&quot;],[1,&quot;rgb(255,255,255)&quot;]],Electric:[[0,&quot;rgb(0,0,0)&quot;],[.15,&quot;rgb(30,0,100)&quot;],[.4,&quot;rgb(120,0,100)&quot;],[.6,&quot;rgb(160,90,0)&quot;],[.8,&quot;rgb(230,200,0)&quot;],[1,&quot;rgb(255,250,220)&quot;]],Viridis:[[0,&quot;#440154&quot;],[.06274509803921569,&quot;#48186a&quot;],[.12549019607843137,&quot;#472d7b&quot;],[.18823529411764706,&quot;#424086&quot;],[.25098039215686274,&quot;#3b528b&quot;],[.3137254901960784,&quot;#33638d&quot;],[.3764705882352941,&quot;#2c728e&quot;],[.4392156862745098,&quot;#26828e&quot;],[.5019607843137255,&quot;#21918c&quot;],[.5647058823529412,&quot;#1fa088&quot;],[.6274509803921569,&quot;#28ae80&quot;],[.6901960784313725,&quot;#3fbc73&quot;],[.7529411764705882,&quot;#5ec962&quot;],[.8156862745098039,&quot;#84d44b&quot;],[.8784313725490196,&quot;#addc30&quot;],[.9411764705882353,&quot;#d8e219&quot;],[1,&quot;#fde725&quot;]],Cividis:[[0,&quot;rgb(0,32,76)&quot;],[.058824,&quot;rgb(0,42,102)&quot;],[.117647,&quot;rgb(0,52,110)&quot;],[.176471,&quot;rgb(39,63,108)&quot;],[.235294,&quot;rgb(60,74,107)&quot;],[.294118,&quot;rgb(76,85,107)&quot;],[.352941,&quot;rgb(91,95,109)&quot;],[.411765,&quot;rgb(104,106,112)&quot;],[.470588,&quot;rgb(117,117,117)&quot;],[.529412,&quot;rgb(131,129,120)&quot;],[.588235,&quot;rgb(146,140,120)&quot;],[.647059,&quot;rgb(161,152,118)&quot;],[.705882,&quot;rgb(176,165,114)&quot;],[.764706,&quot;rgb(192,177,109)&quot;],[.823529,&quot;rgb(209,191,102)&quot;],[.882353,&quot;rgb(225,204,92)&quot;],[.941176,&quot;rgb(243,219,79)&quot;],[1,&quot;rgb(255,233,69)&quot;]]},a=i.RdBu;function 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n=t(&quot;../../lib&quot;),i=[[&quot;sw-resize&quot;,&quot;s-resize&quot;,&quot;se-resize&quot;],[&quot;w-resize&quot;,&quot;move&quot;,&quot;e-resize&quot;],[&quot;nw-resize&quot;,&quot;n-resize&quot;,&quot;ne-resize&quot;]];e.exports=function(t,e,r,a){return t=&quot;left&quot;===r?0:&quot;center&quot;===r?1:&quot;right&quot;===r?2:n.constrain(Math.floor(3*t),0,2),e=&quot;bottom&quot;===a?0:&quot;middle&quot;===a?1:&quot;top&quot;===a?2:n.constrain(Math.floor(3*e),0,2),i[e][t]}},{&quot;../../lib&quot;:495}],394:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;mouse-event-offset&quot;),i=t(&quot;has-hover&quot;),a=t(&quot;has-passive-events&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../plots/cartesian/constants&quot;),u=t(&quot;../../constants/interactions&quot;),c=e.exports={};c.align=t(&quot;./align&quot;),c.getCursor=t(&quot;./cursor&quot;);var f=t(&quot;./unhover&quot;);function h(){var 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e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(&quot;path.yerror&quot;).style(&quot;stroke-width&quot;,r.thickness+&quot;px&quot;).call(i.stroke,r.color),a.copy_ystyle&amp;&amp;(a=r),o.selectAll(&quot;path.xerror&quot;).style(&quot;stroke-width&quot;,a.thickness+&quot;px&quot;).call(i.stroke,a.color)})}},{&quot;../color&quot;:376,d3:81}],406:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;);e.exports={hoverlabel:{bgcolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;none&quot;},font:n({arrayOk:!0,editType:&quot;none&quot;}),namelength:{valType:&quot;integer&quot;,min:-1,arrayOk:!0,editType:&quot;none&quot;},editType:&quot;calc&quot;}}},{&quot;../../plots/font_attributes&quot;:567}],407:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;);function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&amp;&amp;(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s&lt;e.length;s++){var l=e[s],u=l[0].trace;if(!i.traceIs(u,&quot;pie&quot;)){var c=i.traceIs(u,&quot;2dMap&quot;)?a:n.fillArray;c(u.hoverinfo,l,&quot;hi&quot;,o(u)),u.hovertemplate&amp;&amp;c(u.hovertemplate,l,&quot;ht&quot;),u.hoverlabel&amp;&amp;(c(u.hoverlabel.bgcolor,l,&quot;hbg&quot;),c(u.hoverlabel.bordercolor,l,&quot;hbc&quot;),c(u.hoverlabel.font.size,l,&quot;hts&quot;),c(u.hoverlabel.font.color,l,&quot;htc&quot;),c(u.hoverlabel.font.family,l,&quot;htf&quot;),c(u.hoverlabel.namelength,l,&quot;hnl&quot;))}}}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592}],408:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;./hover&quot;).hover;e.exports=function(t,e,r){var a=n.getComponentMethod(&quot;annotations&quot;,&quot;onClick&quot;)(t,t._hoverdata);function o(){t.emit(&quot;plotly_click&quot;,{points:t._hoverdata,event:e})}void 0!==r&amp;&amp;i(t,e,r,!0),t._hoverdata&amp;&amp;e&amp;&amp;e.target&amp;&amp;(a&amp;&amp;a.then?a.then(o):o(),e.stopImmediatePropagation&amp;&amp;e.stopImmediatePropagation())}},{&quot;../../registry&quot;:592,&quot;./hover&quot;:412}],409:[function(t,e,r){&quot;use strict&quot;;e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:&quot;Arial, sans-serif&quot;,HOVERMINTIME:50,HOVERID:&quot;-hover&quot;}},{}],410:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./attributes&quot;),a=t(&quot;./hoverlabel_defaults&quot;);e.exports=function(t,e,r,o){a(t,e,function(r,a){return n.coerce(t,e,i,r,a)},o.hoverlabel)}},{&quot;../../lib&quot;:495,&quot;./attributes&quot;:406,&quot;./hoverlabel_defaults&quot;:413}],411:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(&quot;splom&quot;===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a&lt;n.length;a++)for(var o=0;o&lt;i.length;o++)if(-1!==e.indexOf(n[a]+i[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n&lt;t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,i){return&quot;closest&quot;===t?i||r.quadrature(e,n):&quot;x&quot;===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index&gt;=0&amp;&amp;r.index&lt;t.length?r.distance=0:r.index=!1;else for(var n=0;n&lt;t.length;n++){var i=e(t[n]);i&lt;=r.distance&amp;&amp;(r.index=n,r.distance=i)}return r},r.inbox=function(t,e,r){return t*e&lt;0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),i=e(r);return 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c=n.nestedProperty(e,l).get(),f=new Array(r.length),h=0;h&lt;r.length;h++)f[h]=o(c,r[h]);t[u]=f}}};var i={ids:&quot;id&quot;,locations:&quot;location&quot;,labels:&quot;label&quot;,values:&quot;value&quot;,&quot;marker.colors&quot;:&quot;color&quot;,parents:&quot;parent&quot;};function a(t){return i[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&amp;&amp;Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}},{&quot;../../lib&quot;:495}],412:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;tinycolor2&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../lib/override_cursor&quot;),c=t(&quot;../drawing&quot;),f=t(&quot;../color&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../plots/cartesian/axes&quot;),p=t(&quot;../../registry&quot;),g=t(&quot;./helpers&quot;),v=t(&quot;./constants&quot;),m=v.YANGLE,y=Math.PI*m/180,b=1/Math.sin(y),x=Math.cos(y),_=Math.sin(y),w=v.HOVERARROWSIZE,A=v.HOVERTEXTPAD;r.hover=function(t,e,r,a){t=o.getGraphDiv(t),o.throttle(t._fullLayout._uid+v.HOVERID,v.HOVERMINTIME,function(){!function(t,e,r,a){r||(r=&quot;xy&quot;);var l=Array.isArray(r)?r:[r],c=t._fullLayout,v=c._plots||[],m=v[r],y=c._has(&quot;cartesian&quot;);if(m){var x=m.overlays.map(function(t){return t.id});l=l.concat(x)}for(var _=l.length,w=new Array(_),A=new Array(_),M=!1,C=0;C&lt;_;C++){var O=l[C],R=v[O];if(R)M=!0,w[C]=d.getFromId(t,R.xaxis._id),A[C]=d.getFromId(t,R.yaxis._id);else{var P=c[O]._subplot;w[C]=P.xaxis,A[C]=P.yaxis}}var z=e.hovermode||c.hovermode;z&amp;&amp;!M&amp;&amp;(z=&quot;closest&quot;);if(-1===[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;].indexOf(z)||!t.calcdata||t.querySelector(&quot;.zoombox&quot;)||t._dragging)return h.unhoverRaw(t,e);var I,N,D,F,j,B,U,V,H,q,G,X,W,Y=-1===c.hoverdistance?1/0:c.hoverdistance,Z=-1===c.spikedistance?1/0:c.spikedistance,Q=[],$=[],J={hLinePoint:null,vLinePoint:null},K=!1;if(Array.isArray(e))for(z=&quot;array&quot;,D=0;D&lt;e.length;D++)(j=t.calcdata[e[D].curveNumber||0])&amp;&amp;(B=j[0].trace,&quot;skip&quot;!==j[0].trace.hoverinfo&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0)));else{for(F=0;F&lt;t.calcdata.length;F++)j=t.calcdata[F],&quot;skip&quot;!==(B=j[0].trace).hoverinfo&amp;&amp;g.isTraceInSubplots(B,l)&amp;&amp;($.push(j),&quot;h&quot;===B.orientation&amp;&amp;(K=!0));var tt,et,rt=!e.target;if(rt)tt=&quot;xpx&quot;in e?e.xpx:w[0]._length/2,et=&quot;ypx&quot;in e?e.ypx:A[0]._length/2;else{if(!1===s.triggerHandler(t,&quot;plotly_beforehover&quot;,e))return;var nt=e.target.getBoundingClientRect();if(tt=e.clientX-nt.left,et=e.clientY-nt.top,tt&lt;0||tt&gt;w[0]._length||et&lt;0||et&gt;A[0]._length)return h.unhoverRaw(t,e)}if(e.pointerX=tt+w[0]._offset,e.pointerY=et+A[0]._offset,I=&quot;xval&quot;in e?g.flat(l,e.xval):g.p2c(w,tt),N=&quot;yval&quot;in e?g.flat(l,e.yval):g.p2c(A,et),!i(I[0])||!i(N[0]))return o.warn(&quot;Fx.hover failed&quot;,e,t),h.unhoverRaw(t,e)}var it=1/0;for(F=0;F&lt;$.length;F++)if((j=$[F])&amp;&amp;j[0]&amp;&amp;j[0].trace&amp;&amp;!0===j[0].trace.visible&amp;&amp;(B=j[0].trace,-1===[&quot;carpet&quot;,&quot;contourcarpet&quot;].indexOf(B._module.name))){if(&quot;splom&quot;===B.type?U=l[V=0]:(U=g.getSubplot(B),V=l.indexOf(U)),H=z,X={cd:j,trace:B,xa:w[V],ya:A[V],maxHoverDistance:Y,maxSpikeDistance:Z,index:!1,distance:Math.min(it,Y),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:f.defaultLine,name:B.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},c[U]&amp;&amp;(X.subplot=c[U]._subplot),c._splomScenes&amp;&amp;c._splomScenes[B.uid]&amp;&amp;(X.scene=c._splomScenes[B.uid]),W=Q.length,&quot;array&quot;===H){var at=e[F];&quot;pointNumber&quot;in at?(X.index=at.pointNumber,H=&quot;closest&quot;):(H=&quot;&quot;,&quot;xval&quot;in at&amp;&amp;(q=at.xval,H=&quot;x&quot;),&quot;yval&quot;in at&amp;&amp;(G=at.yval,H=H?&quot;closest&quot;:&quot;y&quot;))}else q=I[V],G=N[V];if(0!==Y)if(B._module&amp;&amp;B._module.hoverPoints){var ot=B._module.hoverPoints(X,q,G,H,c._hoverlayer);if(ot)for(var st,lt=0;lt&lt;ot.length;lt++)st=ot[lt],i(st.x0)&amp;&amp;i(st.y0)&amp;&amp;Q.push(E(st,z))}else o.log(&quot;Unrecognized trace type in hover:&quot;,B);if(&quot;closest&quot;===z&amp;&amp;Q.length&gt;W&amp;&amp;(Q.splice(0,W),it=Q[0].distance),y&amp;&amp;0!==Z&amp;&amp;0===Q.length){X.distance=Z,X.index=!1;var ut=B._module.hoverPoints(X,q,G,&quot;closest&quot;,c._hoverlayer);if(ut&amp;&amp;(ut=ut.filter(function(t){return t.spikeDistance&lt;=Z})),ut&amp;&amp;ut.length){var ct,ft=ut.filter(function(t){return t.xa.showspikes});if(ft.length){var ht=ft[0];i(ht.x0)&amp;&amp;i(ht.y0)&amp;&amp;(ct=vt(ht),(!J.vLinePoint||J.vLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.vLinePoint=ct))}var dt=ut.filter(function(t){return t.ya.showspikes});if(dt.length){var pt=dt[0];i(pt.x0)&amp;&amp;i(pt.y0)&amp;&amp;(ct=vt(pt),(!J.hLinePoint||J.hLinePoint.spikeDistance&gt;ct.spikeDistance)&amp;&amp;(J.hLinePoint=ct))}}}}function gt(t,e){for(var r,n=null,i=1/0,a=0;a&lt;t.length;a++)(r=t[a].spikeDistance)&lt;i&amp;&amp;r&lt;=e&amp;&amp;(n=t[a],i=r);return n}function vt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}var mt={fullLayout:c,container:c._hoverlayer,outerContainer:c._paperdiv,event:e},yt=t._spikepoints,bt={vLinePoint:J.vLinePoint,hLinePoint:J.hLinePoint};if(t._spikepoints=bt,y&amp;&amp;0!==Z&amp;&amp;0!==Q.length){var xt=Q.filter(function(t){return t.ya.showspikes}),_t=gt(xt,Z);J.hLinePoint=vt(_t);var wt=Q.filter(function(t){return t.xa.showspikes}),At=gt(wt,Z);J.vLinePoint=vt(At)}if(0===Q.length){var Mt=h.unhoverRaw(t,e);return!y||null===J.hLinePoint&amp;&amp;null===J.vLinePoint||S(yt)&amp;&amp;L(J,mt),Mt}y&amp;&amp;S(yt)&amp;&amp;L(J,mt);Q.sort(function(t,e){return t.distance-e.distance});var Tt=t._hoverdata,kt=[];for(D=0;D&lt;Q.length;D++){var Et=Q[D],Lt=g.makeEventData(Et,Et.trace,Et.cd);if(!1!==Et.hovertemplate){var St=!1;Et.cd[Et.index]&amp;&amp;Et.cd[Et.index].ht&amp;&amp;(St=Et.cd[Et.index].ht),Et.hovertemplate=St||Et.trace.hovertemplate||!1}Et.eventData=[Lt],kt.push(Lt)}t._hoverdata=kt;var Ct=&quot;y&quot;===z&amp;&amp;($.length&gt;1||Q.length&gt;1)||&quot;closest&quot;===z&amp;&amp;K&amp;&amp;Q.length&gt;1,Ot=f.combine(c.plot_bgcolor||f.background,c.paper_bgcolor),Rt={hovermode:z,rotateLabels:Ct,bgColor:Ot,container:c._hoverlayer,outerContainer:c._paperdiv,commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance},Pt=T(Q,Rt,t);if(function(t,e,r){var n,i,a,o,s,l,u,c=0,f=1,h=t.size(),d=new Array(h);function p(t){var 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t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)});!n&amp;&amp;c&lt;=h;){for(c++,n=!0,o=0;o&lt;d.length-1;){var g=d[o],v=d[o+1],m=g[g.length-1],y=v[0];if((i=m.pos+m.dp+m.size-y.pos-y.dp+y.size)&gt;.01&amp;&amp;m.pmin===y.pmin&amp;&amp;m.pmax===y.pmax){for(s=v.length-1;s&gt;=0;s--)v[s].dp+=i;for(g.push.apply(g,v),d.splice(o+1,1),u=0,s=g.length-1;s&gt;=0;s--)u+=g[s].dp;for(a=u/g.length,s=g.length-1;s&gt;=0;s--)g[s].dp-=a;n=!1}else o++}d.forEach(p)}for(o=d.length-1;o&gt;=0;o--){var x=d[o];for(s=x.length-1;s&gt;=0;s--){var _=x[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Pt,Ct?&quot;xa&quot;:&quot;ya&quot;,c),k(Pt,Ct),e.target&amp;&amp;e.target.tagName){var zt=p.getComponentMethod(&quot;annotations&quot;,&quot;hasClickToShow&quot;)(t,kt);u(n.select(e.target),zt?&quot;pointer&quot;:&quot;&quot;)}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n&gt;=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Tt))return;Tt&amp;&amp;t.emit(&quot;plotly_unhover&quot;,{event:e,points:Tt});t.emit(&quot;plotly_hover&quot;,{event:e,points:t._hoverdata,xaxes:w,yaxes:A,xvals:I,yvals:N})}(t,e,r,a)})},r.loneHover=function(t,e){var r={color:t.color||f.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,trace:t.trace||{index:0,hoverinfo:&quot;&quot;},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1},i=n.select(e.container),a=e.outerContainer?n.select(e.outerContainer):i,o={hovermode:&quot;closest&quot;,rotateLabels:!1,bgColor:e.bgColor||f.background,container:i,outerContainer:a},s=T([r],o,e.gd);return k(s,o.rotateLabels),s.node()},r.multiHovers=function(t,e){Array.isArray(t)||(t=[t]);var 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i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,h=e.container,d=e.outerContainer,p=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,b=t[0],x=b.xa,_=b.ya,T=&quot;y&quot;===a?&quot;yLabel&quot;:&quot;xLabel&quot;,k=b[T],E=(String(k)||&quot;&quot;).split(&quot; &quot;)[0],L=d.node().getBoundingClientRect(),S=L.top,C=L.width,O=L.height,R=void 0!==k&amp;&amp;b.distance&lt;=e.hoverdistance&amp;&amp;(&quot;x&quot;===a||&quot;y&quot;===a);if(R){var P,z,I=!0;for(P=0;P&lt;t.length;P++)if(I&amp;&amp;void 0===t[P].zLabel&amp;&amp;(I=!1),z=t[P].hoverinfo||t[P].trace.hoverinfo){var N=Array.isArray(z)?z:z.split(&quot;+&quot;);if(-1===N.indexOf(&quot;all&quot;)&amp;&amp;-1===N.indexOf(a)){R=!1;break}}I&amp;&amp;(R=!1)}var D=h.selectAll(&quot;g.axistext&quot;).data(R?[0]:[]);D.enter().append(&quot;g&quot;).classed(&quot;axistext&quot;,!0),D.exit().remove(),D.each(function(){var 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t=n.select(this);t.append(&quot;rect&quot;).call(f.fill,f.addOpacity(u,.8)),t.append(&quot;text&quot;).classed(&quot;name&quot;,!0),t.append(&quot;path&quot;).style(&quot;stroke-width&quot;,&quot;1px&quot;),t.append(&quot;text&quot;).classed(&quot;nums&quot;,!0).call(c.font,g,y)}),F.exit().remove(),F.each(function(t){var e=n.select(this).attr(&quot;transform&quot;,&quot;&quot;),h=&quot;&quot;,d=&quot;&quot;,p=t.bgcolor||t.color,v=f.combine(f.opacity(p)?p:f.defaultLine,u),b=f.combine(f.opacity(t.color)?t.color:f.defaultLine,u),x=t.borderColor||f.contrast(v);void 0!==t.nameOverride&amp;&amp;(t.name=t.nameOverride),t.name&amp;&amp;(i.meta&amp;&amp;(t.name=o.templateString(t.name,{meta:i.meta})),h=l.plainText(t.name||&quot;&quot;,{len:t.nameLength,allowedTags:[&quot;br&quot;,&quot;sub&quot;,&quot;sup&quot;,&quot;b&quot;,&quot;i&quot;,&quot;em&quot;]})),void 0!==t.zLabel?(void 0!==t.xLabel&amp;&amp;(d+=&quot;x: &quot;+t.xLabel+&quot;&lt;br&gt;&quot;),void 0!==t.yLabel&amp;&amp;(d+=&quot;y: 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r=t.index,n=t.trace||{},i=t.cd[0],a=t.cd[r]||{},s=Array.isArray(r)?function(t,e){return o.castOption(i,r,t)||o.extractOption({},n,&quot;&quot;,e)}:function(t,e){return o.extractOption(a,n,t,e)};function l(e,r,n){var 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0!==t.yLabelVal&amp;&amp;(t.yLabel=&quot;yLabel&quot;in t?t.yLabel:d.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&amp;&amp;void 0===t.zLabel&amp;&amp;(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||&quot;log&quot;===t.xa.type&amp;&amp;t.xerr&lt;=0)){var u=d.tickText(t.xa,t.xa.c2l(t.xerr),&quot;hover&quot;).text;void 0!==t.xerrneg?t.xLabel+=&quot; +&quot;+u+&quot; / -&quot;+d.tickText(t.xa,t.xa.c2l(t.xerrneg),&quot;hover&quot;).text:t.xLabel+=&quot; \\xb1 &quot;+u,&quot;x&quot;===e&amp;&amp;(t.distance+=1)}if(!(isNaN(t.yerr)||&quot;log&quot;===t.ya.type&amp;&amp;t.yerr&lt;=0)){var c=d.tickText(t.ya,t.ya.c2l(t.yerr),&quot;hover&quot;).text;void 0!==t.yerrneg?t.yLabel+=&quot; +&quot;+c+&quot; / -&quot;+d.tickText(t.ya,t.ya.c2l(t.yerrneg),&quot;hover&quot;).text:t.yLabel+=&quot; \\xb1 &quot;+c,&quot;y&quot;===e&amp;&amp;(t.distance+=1)}var f=t.hoverinfo||t.trace.hoverinfo;return f&amp;&amp;&quot;all&quot;!==f&amp;&amp;(-1===(f=Array.isArray(f)?f:f.split(&quot;+&quot;)).indexOf(&quot;x&quot;)&amp;&amp;(t.xLabel=void 0),-1===f.indexOf(&quot;y&quot;)&amp;&amp;(t.yLabel=void 0),-1===f.indexOf(&quot;z&quot;)&amp;&amp;(t.zLabel=void 0),-1===f.indexOf(&quot;text&quot;)&amp;&amp;(t.text=void 0),-1===f.indexOf(&quot;name&quot;)&amp;&amp;(t.name=void 0)),t}function L(t,e){var r,n,i=e.container,o=e.fullLayout,s=e.event,l=!!t.hLinePoint,u=!!t.vLinePoint;if(i.selectAll(&quot;.spikeline&quot;).remove(),u||l){var h=f.combine(o.plot_bgcolor,o.paper_bgcolor);if(l){var d,p,g=t.hLinePoint;r=g&amp;&amp;g.xa,&quot;cursor&quot;===(n=g&amp;&amp;g.ya).spikesnap?(d=s.pointerX,p=s.pointerY):(d=r._offset+g.x,p=n._offset+g.y);var v,m,y=a.readability(g.color,h)&lt;1.5?f.contrast(h):g.color,b=n.spikemode,x=n.spikethickness,_=n.spikecolor||y,w=n._boundingBox,A=(w.left+w.right)/2&lt;d?w.right:w.left;-1===b.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===b.indexOf(&quot;across&quot;)||(-1!==b.indexOf(&quot;toaxis&quot;)&amp;&amp;(v=A,m=d),-1!==b.indexOf(&quot;across&quot;)&amp;&amp;(v=n._counterSpan[0],m=n._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x,stroke:_,&quot;stroke-dasharray&quot;:c.dashStyle(n.spikedash,x)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:v,x2:m,y1:p,y2:p,&quot;stroke-width&quot;:x+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==b.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:A+(&quot;right&quot;!==n.side?x:-x),cy:p,r:x,fill:_}).classed(&quot;spikeline&quot;,!0)}if(u){var M,T,k=t.vLinePoint;r=k&amp;&amp;k.xa,n=k&amp;&amp;k.ya,&quot;cursor&quot;===r.spikesnap?(M=s.pointerX,T=s.pointerY):(M=r._offset+k.x,T=n._offset+k.y);var E,L,S=a.readability(k.color,h)&lt;1.5?f.contrast(h):k.color,C=r.spikemode,O=r.spikethickness,R=r.spikecolor||S,P=r._boundingBox,z=(P.top+P.bottom)/2&lt;T?P.bottom:P.top;-1===C.indexOf(&quot;toaxis&quot;)&amp;&amp;-1===C.indexOf(&quot;across&quot;)||(-1!==C.indexOf(&quot;toaxis&quot;)&amp;&amp;(E=z,L=T),-1!==C.indexOf(&quot;across&quot;)&amp;&amp;(E=r._counterSpan[0],L=r._counterSpan[1]),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O,stroke:R,&quot;stroke-dasharray&quot;:c.dashStyle(r.spikedash,O)}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0),i.insert(&quot;line&quot;,&quot;:first-child&quot;).attr({x1:M,x2:M,y1:E,y2:L,&quot;stroke-width&quot;:O+2,stroke:h}).classed(&quot;spikeline&quot;,!0).classed(&quot;crisp&quot;,!0)),-1!==C.indexOf(&quot;marker&quot;)&amp;&amp;i.insert(&quot;circle&quot;,&quot;:first-child&quot;).attr({cx:M,cy:z-(&quot;top&quot;!==r.side?O:-O),r:O,fill:R}).classed(&quot;spikeline&quot;,!0)}}}function S(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}},{&quot;../../lib&quot;:495,&quot;../../lib/events&quot;:487,&quot;../../lib/override_cursor&quot;:506,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:409,&quot;./helpers&quot;:411,d3:81,&quot;fast-isnumeric&quot;:90,tinycolor2:342}],413:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e,r,i){r(&quot;hoverlabel.bgcolor&quot;,(i=i||{}).bgcolor),r(&quot;hoverlabel.bordercolor&quot;,i.bordercolor),r(&quot;hoverlabel.namelength&quot;,i.namelength),n.coerceFont(r,&quot;hoverlabel.font&quot;,i.font)}},{&quot;../../lib&quot;:495}],414:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e){t=t||{};(e=e||{}).description&amp;&amp;e.description;var r=e.keys||[];if(r.length&gt;0){for(var n=[],i=0;i&lt;r.length;i++)n[i]=&quot;`&quot;+r[i]+&quot;`&quot;;&quot;Finally, the template string has access to &quot;,1===r.length?&quot;variable &quot;+n[0]:&quot;variables &quot;+n.slice(0,-1).join(&quot;, &quot;)+&quot; and &quot;+n.slice(-1)+&quot;.&quot;}var a={valType:&quot;string&quot;,dflt:&quot;&quot;,editType:t.editType||&quot;none&quot;};return!1!==t.arrayOk&amp;&amp;(a.arrayOk=!0),a}},{}],415:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../dragelement&quot;),o=t(&quot;./helpers&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./hover&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;fx&quot;,constants:t(&quot;./constants&quot;),schema:{layout:s},attributes:t(&quot;./attributes&quot;),layoutAttributes:s,supplyLayoutGlobalDefaults:t(&quot;./layout_global_defaults&quot;),supplyDefaults:t(&quot;./defaults&quot;),supplyLayoutDefaults:t(&quot;./layout_defaults&quot;),calc:t(&quot;./calc&quot;),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,&quot;hoverlabel.&quot;+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,&quot;hoverinfo&quot;,function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,multiHovers:l.multiHovers,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(&quot;g.hovertext&quot;).remove(),e.selectAll(&quot;.spikeline&quot;).remove()},click:t(&quot;./click&quot;)}},{&quot;../../lib&quot;:495,&quot;../dragelement&quot;:394,&quot;./attributes&quot;:406,&quot;./calc&quot;:407,&quot;./click&quot;:408,&quot;./constants&quot;:409,&quot;./defaults&quot;:410,&quot;./helpers&quot;:411,&quot;./hover&quot;:412,&quot;./layout_attributes&quot;:416,&quot;./layout_defaults&quot;:417,&quot;./layout_global_defaults&quot;:418,d3:81}],416:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../plots/font_attributes&quot;)({editType:&quot;none&quot;});i.family.dflt=n.HOVERFONT,i.size.dflt=n.HOVERFONTSIZE,e.exports={clickmode:{valType:&quot;flaglist&quot;,flags:[&quot;event&quot;,&quot;select&quot;],dflt:&quot;event&quot;,editType:&quot;plot&quot;,extras:[&quot;none&quot;]},dragmode:{valType:&quot;enumerated&quot;,values:[&quot;zoom&quot;,&quot;pan&quot;,&quot;select&quot;,&quot;lasso&quot;,&quot;orbit&quot;,&quot;turntable&quot;,!1],dflt:&quot;zoom&quot;,editType:&quot;modebar&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;closest&quot;,!1],editType:&quot;modebar&quot;},hoverdistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},spikedistance:{valType:&quot;integer&quot;,min:-1,dflt:20,editType:&quot;none&quot;},hoverlabel:{bgcolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},bordercolor:{valType:&quot;color&quot;,editType:&quot;none&quot;},font:i,namelength:{valType:&quot;integer&quot;,min:-1,dflt:15,editType:&quot;none&quot;},editType:&quot;none&quot;},selectdirection:{valType:&quot;enumerated&quot;,values:[&quot;h&quot;,&quot;v&quot;,&quot;d&quot;,&quot;any&quot;],dflt:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:409}],417:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./layout_attributes&quot;);e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}var o,s=a(&quot;clickmode&quot;);&quot;select&quot;===a(&quot;dragmode&quot;)&amp;&amp;a(&quot;selectdirection&quot;),e._has(&quot;cartesian&quot;)?s.indexOf(&quot;select&quot;)&gt;-1?o=&quot;closest&quot;:(e._isHoriz=function(t,e){for(var r=e._scatterStackOpts||{},n=0;n&lt;t.length;n++){var i=t[n],a=i.xaxis+i.yaxis,o=r[a]||{},s=o[i.stackgroup]||{};if(&quot;h&quot;!==i.orientation&amp;&amp;&quot;h&quot;!==s.orientation)return!1}return!0}(r,e),o=e._isHoriz?&quot;y&quot;:&quot;x&quot;):o=&quot;closest&quot;,a(&quot;hovermode&quot;,o)&amp;&amp;(a(&quot;hoverdistance&quot;),a(&quot;spikedistance&quot;));var l=e._has(&quot;mapbox&quot;),u=e._has(&quot;geo&quot;),c=e._basePlotModules.length;&quot;zoom&quot;===e.dragmode&amp;&amp;((l||u)&amp;&amp;1===c||l&amp;&amp;u&amp;&amp;2===c)&amp;&amp;(e.dragmode=&quot;pan&quot;)}},{&quot;../../lib&quot;:495,&quot;./layout_attributes&quot;:416}],418:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;./hoverlabel_defaults&quot;),a=t(&quot;./layout_attributes&quot;);e.exports=function(t,e){i(t,e,function(r,i){return n.coerce(t,e,a,r,i)})}},{&quot;../../lib&quot;:495,&quot;./hoverlabel_defaults&quot;:413,&quot;./layout_attributes&quot;:416}],419:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../lib/regex&quot;).counter,a=t(&quot;../../plots/domain&quot;).attributes,o=t(&quot;../../plots/cartesian/constants&quot;).idRegex,s=t(&quot;../../plot_api/plot_template&quot;),l={rows:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},roworder:{valType:&quot;enumerated&quot;,values:[&quot;top to bottom&quot;,&quot;bottom to top&quot;],dflt:&quot;top to bottom&quot;,editType:&quot;plot&quot;},columns:{valType:&quot;integer&quot;,min:1,editType:&quot;plot&quot;},subplots:{valType:&quot;info_array&quot;,freeLength:!0,dimensions:2,items:{valType:&quot;enumerated&quot;,values:[i(&quot;xy&quot;).toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},xaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.x.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},yaxes:{valType:&quot;info_array&quot;,freeLength:!0,items:{valType:&quot;enumerated&quot;,values:[o.y.toString(),&quot;&quot;],editType:&quot;plot&quot;},editType:&quot;plot&quot;},pattern:{valType:&quot;enumerated&quot;,values:[&quot;independent&quot;,&quot;coupled&quot;],dflt:&quot;coupled&quot;,editType:&quot;plot&quot;},xgap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},ygap:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},domain:a({name:&quot;grid&quot;,editType:&quot;plot&quot;,noGridCell:!0},{}),xside:{valType:&quot;enumerated&quot;,values:[&quot;bottom&quot;,&quot;bottom plot&quot;,&quot;top plot&quot;,&quot;top&quot;],dflt:&quot;bottom plot&quot;,editType:&quot;plot&quot;},yside:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;left plot&quot;,&quot;right plot&quot;,&quot;right&quot;],dflt:&quot;left plot&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;};function u(t,e,r){var n=e[r+&quot;axes&quot;],i=Object.keys((t._splomAxes||{})[r]||{});return Array.isArray(n)?n:i.length?i:void 0}function c(t,e,r,n,i,a){var o=e(t+&quot;gap&quot;,r),s=e(&quot;domain.&quot;+t);e(t+&quot;side&quot;,n);for(var l=new Array(i),u=s[0],c=(s[1]-u)/(i-o),f=c*(1-o),h=0;h&lt;i;h++){var d=u+c*h;l[a?i-1-h:h]=[d,d+f]}return l}function f(t,e,r,n,i){var a,o=new Array(r);function s(t,r){-1!==e.indexOf(r)&amp;&amp;void 0===n[r]?(o[t]=r,n[r]=t):o[t]=&quot;&quot;}if(Array.isArray(t))for(a=0;a&lt;r;a++)s(a,t[a]);else for(s(0,i),a=1;a&lt;r;a++)s(a,i+(a+1));return o}e.exports={moduleType:&quot;component&quot;,name:&quot;grid&quot;,schema:{layout:{grid:l}},layoutAttributes:l,sizeDefaults:function(t,e){var r=t.grid||{},i=u(e,r,&quot;x&quot;),a=u(e,r,&quot;y&quot;);if(t.grid||i||a){var o,f,h=Array.isArray(r.subplots)&amp;&amp;Array.isArray(r.subplots[0]),d=Array.isArray(i),p=Array.isArray(a),g=d&amp;&amp;i!==r.xaxes&amp;&amp;p&amp;&amp;a!==r.yaxes;h?(o=r.subplots.length,f=r.subplots[0].length):(p&amp;&amp;(o=a.length),d&amp;&amp;(f=i.length));var v=s.newContainer(e,&quot;grid&quot;),m=M(&quot;rows&quot;,o),y=M(&quot;columns&quot;,f);if(m*y&gt;1){h||d||p||&quot;independent&quot;===M(&quot;pattern&quot;)&amp;&amp;(h=!0),v._hasSubplotGrid=h;var b,x,_=&quot;top to bottom&quot;===M(&quot;roworder&quot;),w=h?.2:.1,A=h?.3:.1;g&amp;&amp;e._splomGridDflt&amp;&amp;(b=e._splomGridDflt.xside,x=e._splomGridDflt.yside),v._domains={x:c(&quot;x&quot;,M,w,b,y),y:c(&quot;y&quot;,M,A,x,m,_)}}else delete e.grid}function M(t,e){return n.coerce(r,v,l,t,e)}},contentDefaults:function(t,e){var r=e.grid;if(r&amp;&amp;r._domains){var n,i,a,o,s,l,c,h=t.grid||{},d=e._subplots,p=r._hasSubplotGrid,g=r.rows,v=r.columns,m=&quot;independent&quot;===r.pattern,y=r._axisMap={};if(p){var b=h.subplots||[];l=r.subplots=new Array(g);var x=1;for(n=0;n&lt;g;n++){var _=l[n]=new Array(v),w=b[n]||[];for(i=0;i&lt;v;i++)if(m?(s=1===x?&quot;xy&quot;:&quot;x&quot;+x+&quot;y&quot;+x,x++):s=w[i],_[i]=&quot;&quot;,-1!==d.cartesian.indexOf(s)){if(c=s.indexOf(&quot;y&quot;),a=s.slice(0,c),o=s.slice(c),void 0!==y[a]&amp;&amp;y[a]!==i||void 0!==y[o]&amp;&amp;y[o]!==n)continue;_[i]=s,y[a]=i,y[o]=n}}}else{var A=u(e,h,&quot;x&quot;),M=u(e,h,&quot;y&quot;);r.xaxes=f(A,d.xaxis,v,y,&quot;x&quot;),r.yaxes=f(M,d.yaxis,g,y,&quot;y&quot;)}var T=r._anchors={},k=&quot;top to bottom&quot;===r.roworder;for(var E in y){var L,S,C,O=E.charAt(0),R=r[O+&quot;side&quot;];if(R.length&lt;8)T[E]=&quot;free&quot;;else if(&quot;x&quot;===O){if(&quot;t&quot;===R.charAt(0)===k?(L=0,S=1,C=g):(L=g-1,S=-1,C=-1),p){var P=y[E];for(n=L;n!==C;n+=S)if((s=l[n][P])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(0,c)===E)){T[E]=s.slice(c);break}}else for(n=L;n!==C;n+=S)if(o=r.yaxes[n],-1!==d.cartesian.indexOf(E+o)){T[E]=o;break}}else if(&quot;l&quot;===R.charAt(0)?(L=0,S=1,C=v):(L=v-1,S=-1,C=-1),p){var z=y[E];for(n=L;n!==C;n+=S)if((s=l[z][n])&amp;&amp;(c=s.indexOf(&quot;y&quot;),s.slice(c)===E)){T[E]=s.slice(0,c);break}}else for(n=L;n!==C;n+=S)if(a=r.xaxes[n],-1!==d.cartesian.indexOf(a+E)){T[E]=a;break}}}}}},{&quot;../../lib&quot;:495,&quot;../../lib/regex&quot;:510,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547,&quot;../../plots/domain&quot;:566}],420:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/constants&quot;),i=t(&quot;../../plot_api/plot_template&quot;).templatedArray;e.exports=i(&quot;image&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;arraydraw&quot;},source:{valType:&quot;string&quot;,editType:&quot;arraydraw&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;below&quot;,&quot;above&quot;],dflt:&quot;above&quot;,editType:&quot;arraydraw&quot;},sizex:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizey:{valType:&quot;number&quot;,dflt:0,editType:&quot;arraydraw&quot;},sizing:{valType:&quot;enumerated&quot;,values:[&quot;fill&quot;,&quot;contain&quot;,&quot;stretch&quot;],dflt:&quot;contain&quot;,editType:&quot;arraydraw&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;arraydraw&quot;},x:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},y:{valType:&quot;any&quot;,dflt:0,editType:&quot;arraydraw&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;arraydraw&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;,editType:&quot;arraydraw&quot;},xref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.x.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},yref:{valType:&quot;enumerated&quot;,values:[&quot;paper&quot;,n.idRegex.y.toString()],dflt:&quot;paper&quot;,editType:&quot;arraydraw&quot;},editType:&quot;arraydraw&quot;})},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/constants&quot;:547}],421:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib/to_log_range&quot;);e.exports=function(t,e,r,a){e=e||{};var o=&quot;log&quot;===r&amp;&amp;&quot;linear&quot;===e.type,s=&quot;linear&quot;===r&amp;&amp;&quot;log&quot;===e.type;if(o||s)for(var l,u,c=t._fullLayout.images,f=e._id.charAt(0),h=0;h&lt;c.length;h++)if(u=&quot;images[&quot;+h+&quot;].&quot;,(l=c[h])[f+&quot;ref&quot;]===e._id){var d=l[f],p=l[&quot;size&quot;+f],g=null,v=null;if(o){g=i(d,e.range);var m=p/Math.pow(10,g)/2;v=2*Math.log(m+Math.sqrt(1+m*m))/Math.LN10}else v=(g=Math.pow(10,d))*(Math.pow(10,p/2)-Math.pow(10,-p/2));n(g)?n(v)||(v=null):(g=null,v=null),a(u+f,g),a(u+&quot;size&quot;+f,v)}}},{&quot;../../lib/to_log_range&quot;:520,&quot;fast-isnumeric&quot;:90}],422:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/cartesian/axes&quot;),a=t(&quot;../../plots/array_container_defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var s=a(&quot;source&quot;);if(!a(&quot;visible&quot;,!!s))return e;a(&quot;layer&quot;),a(&quot;xanchor&quot;),a(&quot;yanchor&quot;),a(&quot;sizex&quot;),a(&quot;sizey&quot;),a(&quot;sizing&quot;),a(&quot;opacity&quot;);for(var l={_fullLayout:r},u=[&quot;x&quot;,&quot;y&quot;],c=0;c&lt;2;c++){var f=u[c],h=i.coerceRef(t,e,l,f,&quot;paper&quot;);if(&quot;paper&quot;!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:&quot;images&quot;,handleItemDefaults:s})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;../../plots/cartesian/axes&quot;:541,&quot;./attributes&quot;:420}],423:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../drawing&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/xmlns_namespaces&quot;);e.exports=function(t){var e,r,s=t._fullLayout,l=[],u={},c=[];for(r=0;r&lt;s.images.length;r++){var f=s.images[r];if(f.visible)if(&quot;below&quot;===f.layer&amp;&amp;&quot;paper&quot;!==f.xref&amp;&amp;&quot;paper&quot;!==f.yref){e=f.xref+f.yref;var h=s._plots[e];if(!h){c.push(f);continue}h.mainplot&amp;&amp;(e=h.mainplot.id),u[e]||(u[e]=[]),u[e].push(f)}else&quot;above&quot;===f.layer?l.push(f):c.push(f)}var d={x:{left:{sizing:&quot;xMin&quot;,offset:0},center:{sizing:&quot;xMid&quot;,offset:-.5},right:{sizing:&quot;xMax&quot;,offset:-1}},y:{top:{sizing:&quot;YMin&quot;,offset:0},middle:{sizing:&quot;YMid&quot;,offset:-.5},bottom:{sizing:&quot;YMax&quot;,offset:-1}}};function p(e){var r=n.select(this);if(!this.img||this.img.src!==e.source){r.attr(&quot;xmlns&quot;,o.svg);var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(&quot;crossOrigin&quot;,&quot;anonymous&quot;),n.onerror=i,n.onload=function(){var e=document.createElement(&quot;canvas&quot;);e.width=this.width,e.height=this.height,e.getContext(&quot;2d&quot;).drawImage(this,0,0);var n=e.toDataURL(&quot;image/png&quot;);r.attr(&quot;xlink:href&quot;,n),t()},r.on(&quot;error&quot;,i),n.src=e.source}.bind(this));t._promises.push(i)}}function g(e){var r=n.select(this),o=a.getFromId(t,e.xref),l=a.getFromId(t,e.yref),u=s._size,c=o?Math.abs(o.l2p(e.sizex)-o.l2p(0)):e.sizex*u.w,f=l?Math.abs(l.l2p(e.sizey)-l.l2p(0)):e.sizey*u.h,h=c*d.x[e.xanchor].offset,p=f*d.y[e.yanchor].offset,g=d.x[e.xanchor].sizing+d.y[e.yanchor].sizing,v=(o?o.r2p(e.x)+o._offset:e.x*u.w+u.l)+h,m=(l?l.r2p(e.y)+l._offset:u.h-e.y*u.h+u.t)+p;switch(e.sizing){case&quot;fill&quot;:g+=&quot; slice&quot;;break;case&quot;stretch&quot;:g=&quot;none&quot;}r.attr({x:v,y:m,width:c,height:f,preserveAspectRatio:g,opacity:e.opacity});var y=(o?o._id:&quot;&quot;)+(l?l._id:&quot;&quot;);i.setClipUrl(r,y?&quot;clip&quot;+s._uid+y:null,t)}var v=s._imageLowerLayer.selectAll(&quot;image&quot;).data(c),m=s._imageUpperLayer.selectAll(&quot;image&quot;).data(l);v.enter().append(&quot;image&quot;),m.enter().append(&quot;image&quot;),v.exit().remove(),m.exit().remove(),v.each(function(t){p.bind(this)(t),g.bind(this)(t)}),m.each(function(t){p.bind(this)(t),g.bind(this)(t)});var y=Object.keys(s._plots);for(r=0;r&lt;y.length;r++){e=y[r];var b=s._plots[e];if(b.imagelayer){var x=b.imagelayer.selectAll(&quot;image&quot;).data(u[e]||[]);x.enter().append(&quot;image&quot;),x.exit().remove(),x.each(function(t){p.bind(this)(t),g.bind(this)(t)})}}}},{&quot;../../constants/xmlns_namespaces&quot;:476,&quot;../../plots/cartesian/axes&quot;:541,&quot;../drawing&quot;:397,d3:81}],424:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;component&quot;,name:&quot;images&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;images&quot;),draw:t(&quot;./draw&quot;),convertCoords:t(&quot;./convert_coords&quot;)}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:420,&quot;./convert_coords&quot;:421,&quot;./defaults&quot;:422,&quot;./draw&quot;:423}],425:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,editType:&quot;legend&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;legend&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;legend&quot;},font:n({editType:&quot;legend&quot;}),orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;v&quot;,editType:&quot;legend&quot;},traceorder:{valType:&quot;flaglist&quot;,flags:[&quot;reversed&quot;,&quot;grouped&quot;],extras:[&quot;normal&quot;],editType:&quot;legend&quot;},tracegroupgap:{valType:&quot;number&quot;,min:0,dflt:10,editType:&quot;legend&quot;},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:1.02,editType:&quot;legend&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;legend&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1,editType:&quot;legend&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;auto&quot;,editType:&quot;legend&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},valign:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;middle&quot;,editType:&quot;legend&quot;},editType:&quot;legend&quot;}},{&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],426:[function(t,e,r){&quot;use strict&quot;;e.exports={scrollBarWidth:6,scrollBarMinHeight:20,scrollBarColor:&quot;#808BA4&quot;,scrollBarMargin:4,textOffsetX:40}},{}],427:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;../../plots/layout_attributes&quot;),l=t(&quot;./helpers&quot;);e.exports=function(t,e,r){for(var u,c,f,h,d=t.legend||{},p=0,g=!1,v=&quot;normal&quot;,m=0;m&lt;r.length;m++){var y=r[m];y.visible&amp;&amp;((y.showlegend||y._dfltShowLegend)&amp;&amp;(p++,y.showlegend&amp;&amp;(g=!0,(n.traceIs(y,&quot;pie&quot;)||!0===y._input.showlegend)&amp;&amp;p++)),(n.traceIs(y,&quot;bar&quot;)&amp;&amp;&quot;stack&quot;===e.barmode||-1!==[&quot;tonextx&quot;,&quot;tonexty&quot;].indexOf(y.fill))&amp;&amp;(v=l.isGrouped({traceorder:v})?&quot;grouped+reversed&quot;:&quot;reversed&quot;),void 0!==y.legendgroup&amp;&amp;&quot;&quot;!==y.legendgroup&amp;&amp;(v=l.isReversed({traceorder:v})?&quot;reversed+grouped&quot;:&quot;grouped&quot;))}var b=i.coerce(t,e,s,&quot;showlegend&quot;,g&amp;&amp;p&gt;1);if(!1!==b||d.uirevision){var x=a.newContainer(e,&quot;legend&quot;);if(w(&quot;uirevision&quot;,e.uirevision),!1!==b){if(w(&quot;bgcolor&quot;,e.paper_bgcolor),w(&quot;bordercolor&quot;),w(&quot;borderwidth&quot;),i.coerceFont(w,&quot;font&quot;,e.font),w(&quot;orientation&quot;),&quot;h&quot;===x.orientation){var _=t.xaxis;n.getComponentMethod(&quot;rangeslider&quot;,&quot;isVisible&quot;)(_)?(u=0,f=&quot;left&quot;,c=1.1,h=&quot;bottom&quot;):(u=0,f=&quot;left&quot;,c=-.1,h=&quot;top&quot;)}w(&quot;traceorder&quot;,v),l.isGrouped(e.legend)&amp;&amp;w(&quot;tracegroupgap&quot;),w(&quot;x&quot;,u),w(&quot;xanchor&quot;,f),w(&quot;y&quot;,c),w(&quot;yanchor&quot;,h),w(&quot;valign&quot;),i.noneOrAll(d,x,[&quot;x&quot;,&quot;y&quot;])}}function w(t,e){return i.coerce(d,x,o,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/layout_attributes&quot;:582,&quot;../../registry&quot;:592,&quot;./attributes&quot;:425,&quot;./helpers&quot;:431}],428:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib/events&quot;),l=t(&quot;../dragelement&quot;),u=t(&quot;../drawing&quot;),c=t(&quot;../color&quot;),f=t(&quot;../../lib/svg_text_utils&quot;),h=t(&quot;./handle_click&quot;),d=t(&quot;./constants&quot;),p=t(&quot;../../constants/interactions&quot;),g=t(&quot;../../constants/alignment&quot;),v=g.LINE_SPACING,m=g.FROM_TL,y=g.FROM_BR,b=t(&quot;./get_legend_data&quot;),x=t(&quot;./style&quot;),_=t(&quot;./helpers&quot;),w=p.DBLCLICKDELAY;function A(t,e,r,n,i){var a=r.data()[0][0].trace,o={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&amp;&amp;(o.group=a._group),&quot;pie&quot;===a.type&amp;&amp;(o.label=r.datum()[0].label),!1!==s.triggerHandler(t,&quot;plotly_legendclick&quot;,o))if(1===n)e._clickTimeout=setTimeout(function(){h(r,t,n)},w);else if(2===n){e._clickTimeout&amp;&amp;clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,&quot;plotly_legenddoubleclick&quot;,o)&amp;&amp;h(r,t,n)}}function M(t,e,r){var n=t.data()[0][0],a=e._fullLayout,s=n.trace,l=o.traceIs(s,&quot;pie&quot;),c=s.index,h=e._context.edits.legendText&amp;&amp;!l,p=l?n.label:s.name;a.meta&amp;&amp;(p=i.templateString(p,{meta:a.meta}));var g=i.ensureSingle(t,&quot;text&quot;,&quot;legendtext&quot;);function m(r){f.convertToTspans(r,e,function(){!function(t,e){var r=t.data()[0][0];if(!r.trace.showlegend)return void t.remove();var n,i,a=t.select(&quot;g[class*=math-group]&quot;),o=a.node(),s=e._fullLayout.legend.font.size*v;if(o){var l=u.bBox(o);n=l.height,i=l.width,u.setTranslate(a,0,n/4)}else{var c=t.select(&quot;.legendtext&quot;),h=f.lineCount(c),p=c.node();n=s*h,i=p?u.bBox(p).width:0;var g=s*(.3+(1-h)/2);f.positionText(c,d.textOffsetX,g)}r.lineHeight=s,r.height=Math.max(n,16)+3,r.width=i}(t,e)})}g.attr(&quot;text-anchor&quot;,&quot;start&quot;).classed(&quot;user-select-none&quot;,!0).call(u.font,a.legend.font).text(h?T(p,r):p),f.positionText(g,d.textOffsetX,0),h?g.call(f.makeEditable,{gd:e,text:p}).call(m).on(&quot;edit&quot;,function(t){this.text(T(t,r)).call(m);var a=n.trace._fullInput||{},s={};if(o.hasTransform(a,&quot;groupby&quot;)){var l=o.getTransformIndices(a,&quot;groupby&quot;),u=l[l.length-1],f=i.keyedContainer(a,&quot;transforms[&quot;+u+&quot;].styles&quot;,&quot;target&quot;,&quot;value.name&quot;);f.set(n.trace._group,t),s=f.constructUpdate()}else s.name=t;return o.call(&quot;_guiRestyle&quot;,e,s,c)}):m(g)}function T(t,e){var r=Math.max(4,e);if(t&amp;&amp;t.trim().length&gt;=r/2)return t;for(var n=r-(t=t||&quot;&quot;).length;n&gt;0;n--)t+=&quot; &quot;;return t}function k(t,e){var r,a=1,o=i.ensureSingle(t,&quot;rect&quot;,&quot;legendtoggle&quot;,function(t){t.style(&quot;cursor&quot;,&quot;pointer&quot;).attr(&quot;pointer-events&quot;,&quot;all&quot;).call(c.fill,&quot;rgba(0,0,0,0)&quot;)});o.on(&quot;mousedown&quot;,function(){(r=(new Date).getTime())-e._legendMouseDownTime&lt;w?a+=1:(a=1,e._legendMouseDownTime=r)}),o.on(&quot;mouseup&quot;,function(){if(!e._dragged&amp;&amp;!e._editing){var r=e._fullLayout.legend;(new 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e=t[0],r=n.select(this).select(&quot;.legendtoggle&quot;);u.setRect(r,0,-e.height/2,(P?0:o._width)+c,e.height)})}function L(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);var n=&quot;top&quot;;i.isBottomAnchor(e)?n=&quot;bottom&quot;:i.isMiddleAnchor(e)&amp;&amp;(n=&quot;middle&quot;),a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:e.y,l:e._width*m[r],r:e._width*y[r],b:e._height*y[n],t:e._height*m[n]})}e.exports=function(t){var e=t._fullLayout,r=&quot;legend&quot;+e._uid;if(e._infolayer&amp;&amp;t.calcdata){t._legendMouseDownTime||(t._legendMouseDownTime=0);var s=e.legend,f=e.showlegend&amp;&amp;b(t.calcdata,s),h=e.hiddenlabels||[];if(!e.showlegend||!f.length)return e._infolayer.selectAll(&quot;.legend&quot;).remove(),e._topdefs.select(&quot;#&quot;+r).remove(),void a.autoMargin(t,&quot;legend&quot;);for(var p=0,g=0;g&lt;f.length;g++)for(var v=0;v&lt;f[g].length;v++){var 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N=I.selectAll(&quot;g.traces&quot;).data(i.identity);N.enter().append(&quot;g&quot;).attr(&quot;class&quot;,&quot;traces&quot;),N.exit().remove(),N.style(&quot;opacity&quot;,function(t){var e=t[0].trace;return o.traceIs(e,&quot;pie&quot;)?-1!==h.indexOf(t[0].label)?.5:1:&quot;legendonly&quot;===e.visible?.5:1}).each(function(){n.select(this).call(M,t,p)}).call(x,t).each(function(){n.select(this).call(k,t)}),i.syncOrAsync([a.previousPromises,function(){S&amp;&amp;(E(t,I,N),L(t));var c=e.width,f=e.height;E(t,I,N),s._height&gt;f?function(t){var e=t._fullLayout.legend,r=&quot;left&quot;;i.isRightAnchor(e)?r=&quot;right&quot;:i.isCenterAnchor(e)&amp;&amp;(r=&quot;center&quot;);a.autoMargin(t,&quot;legend&quot;,{x:e.x,y:.5,l:e._width*m[r],r:e._width*y[r],b:0,t:0})}(t):L(t);var h=e._size,p=h.l+h.w*s.x,g=h.t+h.h*(1-s.y);i.isRightAnchor(s)?p-=s._width:i.isCenterAnchor(s)&amp;&amp;(p-=s._width/2),i.isBottomAnchor(s)?g-=s._height:i.isMiddleAnchor(s)&amp;&amp;(g-=s._height/2);var v=s._width,b=h.w;v&gt;b?(p=h.l,v=b):(p+v&gt;c&amp;&amp;(p=c-v),p&lt;0&amp;&amp;(p=0),v=Math.min(c-p,s._width));var x,_,w,M,T=s._height,k=h.h;if(T&gt;k?(g=h.t,T=k):(g+T&gt;f&amp;&amp;(g=f-T),g&lt;0&amp;&amp;(g=0),T=Math.min(f-g,s._height)),u.setTranslate(C,p,g),z.on(&quot;.drag&quot;,null),C.on(&quot;wheel&quot;,null),s._height&lt;=T||t._context.staticPlot)R.attr({width:v-s.borderwidth,height:T-s.borderwidth,x:s.borderwidth/2,y:s.borderwidth/2}),u.setTranslate(P,0,0),O.select(&quot;rect&quot;).attr({width:v-2*s.borderwidth,height:T-2*s.borderwidth,x:s.borderwidth,y:s.borderwidth}),u.setClipUrl(P,r,t),u.setRect(z,0,0,0,0),delete s._scrollY;else{var 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T;switch(p.visible){case!0:T=&quot;legendonly&quot;;break;case!1:T=!1;break;case&quot;legendonly&quot;:T=!0}if(A)for(o=0;o&lt;d.length;o++)!1!==d[o].visible&amp;&amp;d[o].legendgroup===g&amp;&amp;R(d[o],T);else R(p,T)}else if(2===r){var k,E,L=!0;for(o=0;o&lt;d.length;o++)if(!(d[o]===p)&amp;&amp;!(k=A&amp;&amp;d[o].legendgroup===g)&amp;&amp;!0===d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;)){L=!1;break}for(o=0;o&lt;d.length;o++)if(!1!==d[o].visible&amp;&amp;!i.traceIs(d[o],&quot;notLegendIsolatable&quot;))switch(p.visible){case&quot;legendonly&quot;:R(d[o],!0);break;case!0:E=!!L||&quot;legendonly&quot;,k=d[o]===p||A&amp;&amp;d[o].legendgroup===g,R(d[o],!!k||E)}}for(o=0;o&lt;y.length;o++)if(l=y[o]){var S=l.constructUpdate(),C=Object.keys(S);for(s=0;s&lt;C.length;s++)u=C[s],(v[u]=v[u]||[])[b[o]]=S[u]}for(c=Object.keys(v),o=0;o&lt;c.length;o++)for(u=c[o],s=0;s&lt;m.length;s++)v[u].hasOwnProperty(s)||(v[u][s]=void 0);i.call(&quot;_guiRestyle&quot;,e,v,m)}}function 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e=t[0].trace,r=e.marker||{},a=r.line||{},o=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbar&quot;).data(i.traceIs(e,&quot;bar&quot;)?[t]:[]);o.enter().append(&quot;path&quot;).classed(&quot;legendbar&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),o.exit().remove(),o.each(function(t){var e=n.select(this),i=t[0],o=(i.mlw+1||a.width+1)-1;e.style(&quot;stroke-width&quot;,o+&quot;px&quot;).call(s.fill,i.mc||r.color),o&amp;&amp;e.call(s.stroke,i.mlc||a.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendbox&quot;).data(i.traceIs(e,&quot;box-violin&quot;)&amp;&amp;e.visible?[t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendbox&quot;,!0).attr(&quot;d&quot;,&quot;M6,6H-6V-6H6Z&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),r.exit().remove(),r.each(function(){var 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h=l.hasMarkers(r)||l.hasText(r),d=i||c,p=a||u,g=h||!d?&quot;M5,0&quot;:p?&quot;M5,-2&quot;:&quot;M5,-3&quot;,v=n.select(this),m=v.select(&quot;.legendfill&quot;).selectAll(&quot;path&quot;).data(i||c?[t]:[]);m.enter().append(&quot;path&quot;).classed(&quot;js-fill&quot;,!0),m.exit().remove(),m.attr(&quot;d&quot;,g+&quot;h30v6h-30z&quot;).call(i?o.fillGroupStyle:function(t){if(t.size()){var n=&quot;legendfill-&quot;+r.uid;o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;fill&quot;)}});var y=v.select(&quot;.legendlines&quot;).selectAll(&quot;path&quot;).data(a||u?[t]:[]);y.enter().append(&quot;path&quot;).classed(&quot;js-line&quot;,!0),y.exit().remove(),y.attr(&quot;d&quot;,g+(u?&quot;l30,0.0001&quot;:&quot;h30&quot;)).call(a?o.lineGroupStyle:function(t){if(t.size()){var n=&quot;legendline-&quot;+r.uid;o.lineGroupStyle(t),o.gradient(t,e,n,&quot;horizontalreversed&quot;,r.colorscale,&quot;stroke&quot;)}})}).each(function(t){var 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y=n.select(this).select(&quot;g.legendpoints&quot;),b=y.selectAll(&quot;path.scatterpts&quot;).data(c?r:[]);b.enter().insert(&quot;path&quot;,&quot;:first-child&quot;).classed(&quot;scatterpts&quot;,!0).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),b.exit().remove(),b.call(o.pointStyle,i,e),c&amp;&amp;(r[0].mrc=3);var x=y.selectAll(&quot;g.pointtext&quot;).data(f?r:[]);x.enter().append(&quot;g&quot;).classed(&quot;pointtext&quot;,!0).append(&quot;text&quot;).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;),x.exit().remove(),x.selectAll(&quot;text&quot;).call(o.textPointStyle,i,e)}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendcandle&quot;).data(&quot;candlestick&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendcandle&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H-8M-8,6V-6H8Z&quot;:&quot;M15,0H8M8,-6V6H-8Z&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var i=e[r?&quot;increasing&quot;:&quot;decreasing&quot;],a=i.line.width,o=n.select(this);o.style(&quot;stroke-width&quot;,a+&quot;px&quot;).call(s.fill,i.fillcolor),a&amp;&amp;s.stroke(o,i.line.color)})}).each(function(t){var e=t[0].trace,r=n.select(this).select(&quot;g.legendpoints&quot;).selectAll(&quot;path.legendohlc&quot;).data(&quot;ohlc&quot;===e.type&amp;&amp;e.visible?[t,t]:[]);r.enter().append(&quot;path&quot;).classed(&quot;legendohlc&quot;,!0).attr(&quot;d&quot;,function(t,e){return e?&quot;M-15,0H0M-8,-6V0&quot;:&quot;M15,0H0M8,6V0&quot;}).attr(&quot;transform&quot;,&quot;translate(20,0)&quot;).style(&quot;stroke-miterlimit&quot;,1),r.exit().remove(),r.each(function(t,r){var 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d,p=&quot;in&quot;===l?.5:2,g=(1+p)/2,v=(1-p)/2;for(i=0;i&lt;f.length;i++)if(!(r=f[i]).fixedrange)if(d=r._name,&quot;auto&quot;===l)c[d+&quot;.autorange&quot;]=!0;else if(&quot;reset&quot;===l){if(void 0===r._rangeInitial)c[d+&quot;.autorange&quot;]=!0;else{var m=r._rangeInitial.slice();c[d+&quot;.range[0]&quot;]=m[0],c[d+&quot;.range[1]&quot;]=m[1]}void 0!==r._showSpikeInitial&amp;&amp;(c[d+&quot;.showspikes&quot;]=r._showSpikeInitial,&quot;on&quot;!==h||r._showSpikeInitial||(h=&quot;off&quot;))}else{var y=[r.r2l(r.range[0]),r.r2l(r.range[1])],b=[g*y[0]+v*y[1],g*y[1]+v*y[0]];c[d+&quot;.range[0]&quot;]=r.l2r(b[0]),c[d+&quot;.range[1]&quot;]=r.l2r(b[1])}u._cartesianSpikesEnabled=h}else{if(&quot;hovermode&quot;!==s||&quot;x&quot;!==l&amp;&amp;&quot;y&quot;!==l){if(&quot;hovermode&quot;===s&amp;&amp;&quot;closest&quot;===l){for(i=0;i&lt;f.length;i++)r=f[i],&quot;on&quot;!==h||r.showspikes||(h=&quot;off&quot;);u._cartesianSpikesEnabled=h}}else 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e=g(t);n.call(&quot;_guiRelayout&quot;,t,&quot;hovermode&quot;,e)}function m(t,e){for(var r=t._fullLayout,i=r._subplots[e],a={},o=0;o&lt;i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c&lt;u.length;c++){var f=u[c];a[s+&quot;.&quot;+f]=l[f]}n.call(&quot;_guiRelayout&quot;,t,a)}u.toImage={name:&quot;toImage&quot;,title:function(t){var e=(t._context.toImageButtonOptions||{}).format||&quot;png&quot;;return l(t,&quot;png&quot;===e?&quot;Download plot as a png&quot;:&quot;Download plot&quot;)},icon:s.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||&quot;png&quot;};o.notifier(l(t,&quot;Taking snapshot - this may take a few seconds&quot;),&quot;long&quot;),&quot;svg&quot;!==r.format&amp;&amp;o.isIE()&amp;&amp;(o.notifier(l(t,&quot;IE only supports svg.  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l(t,&quot;Box Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;select&quot;,icon:s.selectbox,click:c},u.lasso2d={name:&quot;lasso2d&quot;,title:function(t){return l(t,&quot;Lasso Select&quot;)},attr:&quot;dragmode&quot;,val:&quot;lasso&quot;,icon:s.lasso,click:c},u.zoomIn2d={name:&quot;zoomIn2d&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:c},u.zoomOut2d={name:&quot;zoomOut2d&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:c},u.autoScale2d={name:&quot;autoScale2d&quot;,title:function(t){return l(t,&quot;Autoscale&quot;)},attr:&quot;zoom&quot;,val:&quot;auto&quot;,icon:s.autoscale,click:c},u.resetScale2d={name:&quot;resetScale2d&quot;,title:function(t){return l(t,&quot;Reset axes&quot;)},attr:&quot;zoom&quot;,val:&quot;reset&quot;,icon:s.home,click:c},u.hoverClosestCartesian={name:&quot;hoverClosestCartesian&quot;,title:function(t){return l(t,&quot;Show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:c},u.hoverCompareCartesian={name:&quot;hoverCompareCartesian&quot;,title:function(t){return l(t,&quot;Compare data on hover&quot;)},attr:&quot;hovermode&quot;,val:function(t){return t._fullLayout._isHoriz?&quot;y&quot;:&quot;x&quot;},icon:s.tooltip_compare,gravity:&quot;ne&quot;,click:c},u.zoom3d={name:&quot;zoom3d&quot;,title:function(t){return l(t,&quot;Zoom&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;zoom&quot;,icon:s.zoombox,click:f},u.pan3d={name:&quot;pan3d&quot;,title:function(t){return l(t,&quot;Pan&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;pan&quot;,icon:s.pan,click:f},u.orbitRotation={name:&quot;orbitRotation&quot;,title:function(t){return l(t,&quot;Orbital rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;orbit&quot;,icon:s[&quot;3d_rotate&quot;],click:f},u.tableRotation={name:&quot;tableRotation&quot;,title:function(t){return l(t,&quot;Turntable rotation&quot;)},attr:&quot;scene.dragmode&quot;,val:&quot;turntable&quot;,icon:s[&quot;z-axis&quot;],click:f},u.resetCameraDefault3d={name:&quot;resetCameraDefault3d&quot;,title:function(t){return l(t,&quot;Reset camera to default&quot;)},attr:&quot;resetDefault&quot;,icon:s.home,click:h},u.resetCameraLastSave3d={name:&quot;resetCameraLastSave3d&quot;,title:function(t){return l(t,&quot;Reset camera to last save&quot;)},attr:&quot;resetLastSave&quot;,icon:s.movie,click:h},u.hoverClosest3d={name:&quot;hoverClosest3d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);n.call(&quot;_guiRelayout&quot;,t,r)}},u.zoomInGeo={name:&quot;zoomInGeo&quot;,title:function(t){return l(t,&quot;Zoom in&quot;)},attr:&quot;zoom&quot;,val:&quot;in&quot;,icon:s.zoom_plus,click:p},u.zoomOutGeo={name:&quot;zoomOutGeo&quot;,title:function(t){return l(t,&quot;Zoom out&quot;)},attr:&quot;zoom&quot;,val:&quot;out&quot;,icon:s.zoom_minus,click:p},u.resetGeo={name:&quot;resetGeo&quot;,title:function(t){return l(t,&quot;Reset&quot;)},attr:&quot;reset&quot;,val:null,icon:s.autoscale,click:p},u.hoverClosestGeo={name:&quot;hoverClosestGeo&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestGl2d={name:&quot;hoverClosestGl2d&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.hoverClosestPie={name:&quot;hoverClosestPie&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:&quot;closest&quot;,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:v},u.toggleHover={name:&quot;toggleHover&quot;,title:function(t){return l(t,&quot;Toggle show closest data on hover&quot;)},attr:&quot;hovermode&quot;,val:null,toggle:!0,icon:s.tooltip_basic,gravity:&quot;ne&quot;,click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViews={name:&quot;resetViews&quot;,title:function(t){return l(t,&quot;Reset views&quot;)},icon:s.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(&quot;data-attr&quot;,&quot;zoom&quot;),r.setAttribute(&quot;data-val&quot;,&quot;reset&quot;),c(t,e),r.setAttribute(&quot;data-attr&quot;,&quot;resetLastSave&quot;),h(t,e),m(t,&quot;geo&quot;),m(t,&quot;mapbox&quot;)}},u.toggleSpikelines={name:&quot;toggleSpikelines&quot;,title:function(t){return l(t,&quot;Toggle Spike Lines&quot;)},icon:s.spikeline,attr:&quot;_cartesianSpikesEnabled&quot;,val:&quot;on&quot;,click:function(t){var e=t._fullLayout;e._cartesianSpikesEnabled=&quot;on&quot;===e._cartesianSpikesEnabled?&quot;off&quot;:&quot;on&quot;;var r=function(t){for(var e,r,n=t._fullLayout,i=a.list(t,null,!0),o={},s=0;s&lt;i.length;s++)e=i[s],r=e._name,o[r+&quot;.showspikes&quot;]=&quot;on&quot;===n._cartesianSpikesEnabled||e._showSpikeInitial;return o}(t);n.call(&quot;_guiRelayout&quot;,t,r)}},u.resetViewMapbox={name:&quot;resetViewMapbox&quot;,title:function(t){return l(t,&quot;Reset view&quot;)},attr:&quot;reset&quot;,icon:s.home,click:function(t){m(t,&quot;mapbox&quot;)}}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592}],435:[function(t,e,r){&quot;use strict&quot;;r.manage=t(&quot;./manage&quot;)},{&quot;./manage&quot;:436}],436:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;),i=t(&quot;../../traces/scatter/subtypes&quot;),a=t(&quot;../../registry&quot;),o=t(&quot;./modebar&quot;),s=t(&quot;./buttons&quot;);e.exports=function(t){var e=t._fullLayout,r=t._context,l=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([&quot;*modeBarButtonsToRemove* configuration options&quot;,&quot;must be an array.&quot;].join(&quot; &quot;));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([&quot;*modeBarButtonsToAdd* configuration 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_=[&quot;toImage&quot;];o&amp;&amp;_.push(&quot;sendDataToCloud&quot;);x(_);var w=[],A=[],M=[],T=[];(c||p||d||g)+h+f+v+m&gt;1?(A=[&quot;toggleHover&quot;],M=[&quot;resetViews&quot;]):h?(w=[&quot;zoomInGeo&quot;,&quot;zoomOutGeo&quot;],A=[&quot;hoverClosestGeo&quot;],M=[&quot;resetGeo&quot;]):f?(A=[&quot;hoverClosest3d&quot;],M=[&quot;resetCameraDefault3d&quot;,&quot;resetCameraLastSave3d&quot;]):v?(A=[&quot;toggleHover&quot;],M=[&quot;resetViewMapbox&quot;]):A=p?[&quot;hoverClosestGl2d&quot;]:d?[&quot;hoverClosestPie&quot;]:[&quot;toggleHover&quot;];c&amp;&amp;(A=[&quot;toggleSpikelines&quot;,&quot;hoverClosestCartesian&quot;,&quot;hoverCompareCartesian&quot;]);!c&amp;&amp;!p||y||(w=[&quot;zoomIn2d&quot;,&quot;zoomOut2d&quot;,&quot;autoScale2d&quot;],&quot;resetViews&quot;!==M[0]&amp;&amp;(M=[&quot;resetScale2d&quot;]));f?T=[&quot;zoom3d&quot;,&quot;pan3d&quot;,&quot;orbitRotation&quot;,&quot;tableRotation&quot;]:(c||p)&amp;&amp;!y||g?T=[&quot;zoom2d&quot;,&quot;pan2d&quot;]:v||h?T=[&quot;pan2d&quot;]:m&amp;&amp;(T=[&quot;zoom2d&quot;]);(function(t){for(var e=!1,r=0;r&lt;t.length&amp;&amp;!e;r++){var n=t[r];n._module&amp;&amp;n._module.selectPoints&amp;&amp;(a.traceIs(n,&quot;scatter-like&quot;)?(i.hasMarkers(n)||i.hasText(n))&amp;&amp;(e=!0):a.traceIs(n,&quot;box-violin&quot;)&amp;&amp;&quot;all&quot;!==n.boxpoints&amp;&amp;&quot;all&quot;!==n.points||(e=!0))}return e})(u)&amp;&amp;T.push(&quot;select2d&quot;,&quot;lasso2d&quot;);return x(T),x(w.concat(M)),x(A),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r&lt;e.length;r++)t.push(e[r]);else t.push(e);return t}(b,r)}(t,r.modeBarButtonsToRemove,r.modeBarButtonsToAdd,r.showSendToCloud),l?l.update(t,u):e._modeBar=o(t,u)}else l&amp;&amp;(l.destroy(),delete e._modeBar)}},{&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../registry&quot;:592,&quot;../../traces/scatter/subtypes&quot;:640,&quot;./buttons&quot;:434,&quot;./modebar&quot;:437}],437:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../lib&quot;),o=t(&quot;../../../build/ploticon&quot;),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement(&quot;div&quot;),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=l.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=&quot;modebar-&quot;+n._uid;this.element.setAttribute(&quot;id&quot;,i),this._uid=i,this.element.className=&quot;modebar&quot;,&quot;hover&quot;===r.displayModeBar&amp;&amp;(this.element.className+=&quot; modebar--hover ease-bg&quot;),&quot;v&quot;===n.modebar.orientation&amp;&amp;(this.element.className+=&quot; vertical&quot;,e=e.reverse());var o=n.modebar,s=&quot;hover&quot;===r.displayModeBar?&quot;.js-plotly-plot .plotly:hover &quot;:&quot;&quot;;a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+&quot;#&quot;+i+&quot; .modebar-group&quot;,&quot;background-color: &quot;+o.bgcolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn .icon path&quot;,&quot;fill: &quot;+o.color),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn:hover .icon path&quot;,&quot;fill: &quot;+o.activecolor),a.addRelatedStyleRule(i,&quot;#&quot;+i+&quot; .modebar-btn.active .icon path&quot;,&quot;fill: &quot;+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&amp;&amp;(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&amp;&amp;(f.className=f.className+&quot; watermark&quot;),&quot;v&quot;===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach(function(t){var r=e.createGroup();t.forEach(function(t){var n=t.name;if(!n)throw new Error(&quot;must provide button &#x27;name&#x27; in button config&quot;);if(-1!==e.buttonsNames.indexOf(n))throw new Error(&quot;button name &#x27;&quot;+n+&quot;&#x27; is taken&quot;);e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)}),e.element.appendChild(r)})},u.createGroup=function(){var t=document.createElement(&quot;div&quot;);return t.className=&quot;modebar-group&quot;,t},u.createButton=function(t){var e=this,r=document.createElement(&quot;a&quot;);r.setAttribute(&quot;rel&quot;,&quot;tooltip&quot;),r.className=&quot;modebar-btn&quot;;var i=t.title;void 0===i?i=t.name:&quot;function&quot;==typeof i&amp;&amp;(i=i(this.graphInfo)),(i||0===i)&amp;&amp;r.setAttribute(&quot;data-title&quot;,i),void 0!==t.attr&amp;&amp;r.setAttribute(&quot;data-attr&quot;,t.attr);var a=t.val;if(void 0!==a&amp;&amp;(&quot;function&quot;==typeof a&amp;&amp;(a=a(this.graphInfo)),r.setAttribute(&quot;data-val&quot;,a)),&quot;function&quot;!=typeof t.click)throw new Error(&quot;must provide button &#x27;click&#x27; function in button config&quot;);r.addEventListener(&quot;click&quot;,function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)}),r.setAttribute(&quot;data-toggle&quot;,t.toggle||!1),t.toggle&amp;&amp;n.select(r).classed(&quot;active&quot;,!0);var s=t.icon;return&quot;function&quot;==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(&quot;data-gravity&quot;,t.gravity||&quot;n&quot;),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=&quot;http://www.w3.org/2000/svg&quot;;if(t.path){(e=document.createElementNS(n,&quot;svg&quot;)).setAttribute(&quot;viewBox&quot;,[0,0,t.width,r].join(&quot; &quot;)),e.setAttribute(&quot;class&quot;,&quot;icon&quot;);var a=document.createElementNS(n,&quot;path&quot;);a.setAttribute(&quot;d&quot;,t.path),t.transform?a.setAttribute(&quot;transform&quot;,t.transform):void 0!==t.ascent&amp;&amp;a.setAttribute(&quot;transform&quot;,&quot;matrix(1 0 0 -1 0 &quot;+t.ascent+&quot;)&quot;),e.appendChild(a)}t.svg&amp;&amp;(e=s.parseFromString(t.svg,&quot;application/xml&quot;).childNodes[0]);return e.setAttribute(&quot;height&quot;,&quot;1em&quot;),e.setAttribute(&quot;width&quot;,&quot;1em&quot;),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(&quot;data-attr&quot;):null;this.buttonElements.forEach(function(t){var i=t.getAttribute(&quot;data-val&quot;)||!0,o=t.getAttribute(&quot;data-attr&quot;),s=&quot;true&quot;===t.getAttribute(&quot;data-toggle&quot;),l=n.select(t);if(s)o===r&amp;&amp;l.classed(&quot;active&quot;,!l.classed(&quot;active&quot;));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(&quot;active&quot;,u===i)}})},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r&lt;t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n&lt;t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(&quot;a&quot;);return e.href=&quot;https://plot.ly/&quot;,e.target=&quot;_blank&quot;,e.setAttribute(&quot;data-title&quot;,a._(this.graphInfo,&quot;Produced with Plotly&quot;)),e.className=&quot;modebar-btn plotlyjsicon modebar-btn--logo&quot;,e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(&quot;.modebar&quot;)),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new l({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&amp;&amp;n.select(i.element).append(&quot;span&quot;).classed(&quot;badge-private float--left&quot;,!0).text(&quot;PRIVATE&quot;),i}},{&quot;../../../build/ploticon&quot;:2,&quot;../../lib&quot;:495,d3:81,&quot;fast-isnumeric&quot;:90}],438:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=(0,t(&quot;../../plot_api/plot_template&quot;).templatedArray)(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},step:{valType:&quot;enumerated&quot;,values:[&quot;month&quot;,&quot;year&quot;,&quot;day&quot;,&quot;hour&quot;,&quot;minute&quot;,&quot;second&quot;,&quot;all&quot;],dflt:&quot;month&quot;,editType:&quot;plot&quot;},stepmode:{valType:&quot;enumerated&quot;,values:[&quot;backward&quot;,&quot;todate&quot;],dflt:&quot;backward&quot;,editType:&quot;plot&quot;},count:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;plot&quot;},label:{valType:&quot;string&quot;,editType:&quot;plot&quot;},editType:&quot;plot&quot;});e.exports={visible:{valType:&quot;boolean&quot;,editType:&quot;plot&quot;},buttons:a,x:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;,editType:&quot;plot&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,editType:&quot;plot&quot;},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;bottom&quot;,editType:&quot;plot&quot;},font:n({editType:&quot;plot&quot;}),bgcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;plot&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},editType:&quot;plot&quot;}},{&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../color/attributes&quot;:375}],439:[function(t,e,r){&quot;use strict&quot;;e.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},{}],440:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../../plots/array_container_defaults&quot;),s=t(&quot;./attributes&quot;),l=t(&quot;./constants&quot;);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(&quot;visible&quot;)){var l=o(&quot;step&quot;);&quot;all&quot;!==l&amp;&amp;(!a||&quot;gregorian&quot;===a||&quot;month&quot;!==l&amp;&amp;&quot;year&quot;!==l?o(&quot;stepmode&quot;):e.stepmode=&quot;backward&quot;,o(&quot;count&quot;)),o(&quot;label&quot;)}}e.exports=function(t,e,r,c,f){var h=t.rangeselector||{},d=a.newContainer(e,&quot;rangeselector&quot;);function p(t,e){return n.coerce(h,d,s,t,e)}if(p(&quot;visible&quot;,o(h,d,{name:&quot;buttons&quot;,handleItemDefaults:u,calendar:f}).length&gt;0)){var g=function(t,e,r){for(var n=r.filter(function(r){return e[r].anchor===t._id}),i=0,a=0;a&lt;n.length;a++){var o=e[n[a]].domain;o&amp;&amp;(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);p(&quot;x&quot;,g[0]),p(&quot;y&quot;,g[1]),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),p(&quot;xanchor&quot;),p(&quot;yanchor&quot;),n.coerceFont(p,&quot;font&quot;,r.font);var v=p(&quot;bgcolor&quot;);p(&quot;activecolor&quot;,i.contrast(v,l.lightAmount,l.darkAmount)),p(&quot;bordercolor&quot;),p(&quot;borderwidth&quot;)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/array_container_defaults&quot;:537,&quot;../color&quot;:376,&quot;./attributes&quot;:438,&quot;./constants&quot;:439}],441:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../color&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/svg_text_utils&quot;),c=t(&quot;../../plots/cartesian/axis_ids&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR,g=t(&quot;./constants&quot;),v=t(&quot;./get_update_object&quot;);function m(t){return t._id}function y(t,e,r){var n=l.ensureSingle(t,&quot;rect&quot;,&quot;selector-rect&quot;,function(t){t.attr(&quot;shape-rendering&quot;,&quot;crispEdges&quot;)});n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;)}function b(t,e,r,n){l.ensureSingle(t,&quot;text&quot;,&quot;selector-text&quot;,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;middle&quot;)}).call(s.font,e.font).text(function(t,e){if(t.label)return e?l.templateString(t.label,{meta:e}):t.label;return&quot;all&quot;===t.step?&quot;all&quot;:t.count+t.step.charAt(0)}(r,n._fullLayout.meta)).call(function(t){u.convertToTspans(t,n)})}e.exports=function(t){var e=t._fullLayout._infolayer.selectAll(&quot;.rangeselector&quot;).data(function(t){for(var e=c.list(t,&quot;x&quot;,!0),r=[],n=0;n&lt;e.length;n++){var i=e[n];i.rangeselector&amp;&amp;i.rangeselector.visible&amp;&amp;r.push(i)}return r}(t),m);e.enter().append(&quot;g&quot;).classed(&quot;rangeselector&quot;,!0),e.exit().remove(),e.style({cursor:&quot;pointer&quot;,&quot;pointer-events&quot;:&quot;all&quot;}),e.each(function(e){var r=n.select(this),o=e,c=o.rangeselector,f=r.selectAll(&quot;g.button&quot;).data(l.filterVisible(c.buttons));f.enter().append(&quot;g&quot;).classed(&quot;button&quot;,!0),f.exit().remove(),f.each(function(e){var r=n.select(this),a=v(o,e);e._isActive=function(t,e,r){if(&quot;all&quot;===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&amp;&amp;t.range[1]===r[n[1]]}(o,e,a),r.call(y,c,e),r.call(b,c,e,t),r.on(&quot;click&quot;,function(){t._dragged||i.call(&quot;_guiRelayout&quot;,t,a)}),r.on(&quot;mouseover&quot;,function(){e._isHovered=!0,r.call(y,c,e)}),r.on(&quot;mouseout&quot;,function(){e._isHovered=!1,r.call(y,c,e)})}),function(t,e,r,i,o){var c=0,f=0,v=r.borderwidth;e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-text&quot;),i=r.font.size*h,a=Math.max(i*u.lineCount(e),16)+3;f=Math.max(f,a)}),e.each(function(){var t=n.select(this),e=t.select(&quot;.selector-rect&quot;),i=t.select(&quot;.selector-text&quot;),a=i.node()&amp;&amp;s.bBox(i.node()).width,o=r.font.size*h,l=u.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(&quot;transform&quot;,&quot;translate(&quot;+(v+c)+&quot;,&quot;+v+&quot;)&quot;),e.attr({x:0,y:0,width:d,height:f}),u.positionText(i,d/2,f/2-(l-1)*o/2+3),c+=d+5});var m=t._fullLayout._size,y=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),x=&quot;left&quot;;l.isRightAnchor(r)&amp;&amp;(y-=c,x=&quot;right&quot;);l.isCenterAnchor(r)&amp;&amp;(y-=c/2,x=&quot;center&quot;);var _=&quot;top&quot;;l.isBottomAnchor(r)&amp;&amp;(b-=f,_=&quot;bottom&quot;);l.isMiddleAnchor(r)&amp;&amp;(b-=f/2,_=&quot;middle&quot;);c=Math.ceil(c),f=Math.ceil(f),y=Math.round(y),b=Math.round(b),a.autoMargin(t,i+&quot;-range-selector&quot;,{x:r.x,y:r.y,l:c*d[x],r:c*p[x],b:f*p[_],t:f*d[_]}),o.attr(&quot;transform&quot;,&quot;translate(&quot;+y+&quot;,&quot;+b+&quot;)&quot;)}(t,f,c,o._name,r)})}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;../../plots/plots&quot;:584,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:439,&quot;./get_update_object&quot;:442,d3:81}],442:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;);e.exports=function(t,e){var r=t._name,i={};if(&quot;all&quot;===e.step)i[r+&quot;.autorange&quot;]=!0;else{var a=function(t,e){var r,i=t.range,a=new 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n=t(&quot;../color/attributes&quot;);e.exports={bgcolor:{valType:&quot;color&quot;,dflt:n.background,editType:&quot;plot&quot;},bordercolor:{valType:&quot;color&quot;,dflt:n.defaultLine,editType:&quot;plot&quot;},borderwidth:{valType:&quot;integer&quot;,dflt:0,min:0,editType:&quot;plot&quot;},autorange:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;,impliedEdits:{&quot;range[0]&quot;:void 0,&quot;range[1]&quot;:void 0}},range:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}},{valType:&quot;any&quot;,editType:&quot;calc&quot;,impliedEdits:{&quot;^autorange&quot;:!1}}],editType:&quot;calc&quot;,impliedEdits:{autorange:!1}},thickness:{valType:&quot;number&quot;,dflt:.15,min:0,max:1,editType:&quot;plot&quot;},visible:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;}},{&quot;../color/attributes&quot;:375}],445:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/cartesian/axis_ids&quot;).list,i=t(&quot;../../plots/cartesian/autorange&quot;).getAutoRange,a=t(&quot;./constants&quot;);e.exports=function(t){for(var e=n(t,&quot;x&quot;,!0),r=0;r&lt;e.length;r++){var o=e[r],s=o[a.name];s&amp;&amp;s.visible&amp;&amp;s.autorange&amp;&amp;(s._input.autorange=!0,s._input.range=s.range=i(t,o))}}},{&quot;../../plots/cartesian/autorange&quot;:540,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./constants&quot;:446}],446:[function(t,e,r){&quot;use 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strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plot_api/plot_template&quot;),a=t(&quot;../../plots/cartesian/axis_ids&quot;),o=t(&quot;./attributes&quot;),s=t(&quot;./oppaxis_attributes&quot;);e.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,d=i.newContainer(u,&quot;rangeslider&quot;);if(_(&quot;visible&quot;)){_(&quot;bgcolor&quot;,e.plot_bgcolor),_(&quot;bordercolor&quot;),_(&quot;borderwidth&quot;),_(&quot;thickness&quot;),_(&quot;autorange&quot;,!u.isValidRange(h.range)),_(&quot;range&quot;);var p=e._subplots;if(p)for(var g=p.cartesian.filter(function(t){return t.substr(0,t.indexOf(&quot;y&quot;))===a.name2id(r)}).map(function(t){return t.substr(t.indexOf(&quot;y&quot;),t.length)}),v=n.simpleMap(g,a.id2name),m=0;m&lt;v.length;m++){var y=v[m];c=h[y]||{},f=i.newContainer(d,y,&quot;yaxis&quot;);var b,x=e[y];c.range&amp;&amp;x.isValidRange(c.range)&amp;&amp;(b=&quot;fixed&quot;),&quot;match&quot;!==w(&quot;rangemode&quot;,b)&amp;&amp;w(&quot;range&quot;,x.range.slice())}d._input=h}}function _(t,e){return n.coerce(h,d,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},{&quot;../../lib&quot;:495,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axis_ids&quot;:544,&quot;./attributes&quot;:444,&quot;./oppaxis_attributes&quot;:451}],448:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../lib&quot;),s=t(&quot;../drawing&quot;),l=t(&quot;../color&quot;),u=t(&quot;../titles&quot;),c=t(&quot;../../plots/cartesian&quot;),f=t(&quot;../../plots/cartesian/axis_ids&quot;),h=t(&quot;../dragelement&quot;),d=t(&quot;../../lib/setcursor&quot;),p=t(&quot;./constants&quot;);function g(t,e,r,n){var i=o.ensureSingle(t,&quot;rect&quot;,p.bgClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,l=-n._offsetShift,u=s.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:&quot;translate(&quot;+l+&quot;,&quot;+l+&quot;)&quot;,fill:n.bgcolor,stroke:n.bordercolor,&quot;stroke-width&quot;:u})}function v(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,&quot;clipPath&quot;,n._clipId,function(t){t.append(&quot;rect&quot;).attr({x:0,y:0})}).select(&quot;rect&quot;).attr({width:n._width,height:n._height})}function m(t,e,r,i){var l,u=e.calcdata,h=t.selectAll(&quot;g.&quot;+p.rangePlotClassName).data(r._subplotsWith,o.identity);h.enter().append(&quot;g&quot;).attr(&quot;class&quot;,function(t){return p.rangePlotClassName+&quot; &quot;+t}).call(s.setClipUrl,i._clipId,e),h.order(),h.exit().remove(),h.each(function(t,o){var s=n.select(this),h=0===o,d=f.getFromId(e,t,&quot;y&quot;),p=d._name,g=i[p],v={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};v.layout[p]={type:d.type,domain:[0,1],range:&quot;match&quot;!==g.rangemode?g.range.slice():d.range.slice(),calendar:d.calendar},a.supplyDefaults(v);var m=v._fullLayout.xaxis,y=v._fullLayout[p];m.clearCalc(),m.setScale(),y.clearCalc(),y.setScale();var b={id:t,plotgroup:s,xaxis:m,yaxis:y,isRangePlot:!0};h?l=b:(b.mainplot=&quot;xy&quot;,b.mainplotinfo=l),c.rangePlot(e,b,function(t,e){for(var r=[],n=0;n&lt;t.length;n++){var i=t[n],a=i[0].trace;a.xaxis+a.yaxis===e&amp;&amp;r.push(i)}return r}(u,t))})}function y(t,e,r,n,i){(o.ensureSingle(t,&quot;rect&quot;,p.maskMinClassName,function(t){t.attr({x:0,y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;height&quot;,n._height).call(l.fill,p.maskColor),&quot;match&quot;!==i.rangemode)&amp;&amp;(o.ensureSingle(t,&quot;rect&quot;,p.maskMinOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).call(l.fill,p.maskOppAxisColor),o.ensureSingle(t,&quot;rect&quot;,p.maskMaxOppAxisClassName,function(t){t.attr({y:0,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr(&quot;width&quot;,n._width).style(&quot;border-top&quot;,p.maskOppBorder).call(l.fill,p.maskOppAxisColor))}function b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,&quot;rect&quot;,p.slideBoxClassName,function(t){t.attr({y:0,cursor:p.slideBoxCursor,&quot;shape-rendering&quot;:&quot;crispEdges&quot;})}).attr({height:n._height,fill:p.slideBoxFill})}function x(t,e,r,n){var i=o.ensureSingle(t,&quot;g&quot;,p.grabberMinClassName),a=o.ensureSingle(t,&quot;g&quot;,p.grabberMaxClassName),s={x:0,width:p.handleWidth,rx:p.handleRadius,fill:l.background,stroke:l.defaultLine,&quot;stroke-width&quot;:p.handleStrokeWidth,&quot;shape-rendering&quot;:&quot;crispEdges&quot;},u={y:Math.round(n._height/4),height:Math.round(n._height/2)};if(o.ensureSingle(i,&quot;rect&quot;,p.handleMinClassName,function(t){t.attr(s)}).attr(u),o.ensureSingle(a,&quot;rect&quot;,p.handleMaxClassName,function(t){t.attr(s)}).attr(u),!e._context.staticPlot){var c={width:p.grabAreaWidth,x:0,y:0,fill:p.grabAreaFill,cursor:p.grabAreaCursor};o.ensureSingle(i,&quot;rect&quot;,p.grabAreaMinClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height),o.ensureSingle(a,&quot;rect&quot;,p.grabAreaMaxClassName,function(t){t.attr(c)}).attr(&quot;height&quot;,n._height)}}e.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a&lt;r.length;a++){var s=r[a][p.name];s._clipId=s._id+&quot;-&quot;+e._uid}var l=e._infolayer.selectAll(&quot;g.&quot;+p.containerClassName).data(r,function(t){return t._name});l.exit().each(function(t){var r=t[p.name];e._topdefs.select(&quot;#&quot;+r._clipId).remove()}).remove(),0!==r.length&amp;&amp;(l.enter().append(&quot;g&quot;).classed(p.containerClassName,!0).attr(&quot;pointer-events&quot;,&quot;all&quot;),l.each(function(r){var a=n.select(this),s=r[p.name],l=e[f.id2name(r.anchor)],c=s[f.id2name(r.anchor)];if(s.range){var 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e._shapeUpperLayer.selectAll(&quot;path&quot;).remove(),e._shapeLowerLayer.selectAll(&quot;path&quot;).remove(),e._plots){var n=e._plots[r].shapelayer;n&amp;&amp;n.selectAll(&quot;path&quot;).remove()}for(var i=0;i&lt;e.shapes.length;i++)e.shapes[i].visible&amp;&amp;d(t,i)},drawOne:d}},{&quot;../../lib&quot;:495,&quot;../../lib/setcursor&quot;:514,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;../color&quot;:376,&quot;../dragelement&quot;:394,&quot;../drawing&quot;:397,&quot;./constants&quot;:454,&quot;./helpers&quot;:457}],457:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;),i=t(&quot;../../lib&quot;);r.rangeToShapePosition=function(t){return&quot;log&quot;===t.type?t.r2d:function(t){return t}},r.shapePositionToRange=function(t){return&quot;log&quot;===t.type?t.d2r:function(t){return t}},r.decodeDate=function(t){return function(e){return e.replace&amp;&amp;(e=e.replace(&quot;_&quot;,&quot; &quot;)),t(e)}},r.encodeDate=function(t){return function(e){return t(e).replace(&quot; &quot;,&quot;_&quot;)}},r.extractPathCoords=function(t,e){var r=[];return t.match(n.segmentRE).forEach(function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length&lt;a||r.push(i.cleanNumber(o[a]))}}),r},r.getDataToPixel=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.shapePositionToRange(e);i=function(t){return e._offset+e.r2p(o(t,!0))},&quot;date&quot;===e.type&amp;&amp;(i=r.decodeDate(i))}else i=n?function(t){return a.t+a.h*(1-t)}:function(t){return a.l+a.w*t};return i},r.getPixelToData=function(t,e,n){var i,a=t._fullLayout._size;if(e){var o=r.rangeToShapePosition(e);i=function(t){return o(e.p2r(t-e._offset))}}else i=n?function(t){return 1-(t-a.t)/a.h}:function(t){return(t-a.l)/a.w};return i},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n}},{&quot;../../lib&quot;:495,&quot;./constants&quot;:454}],458:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./draw&quot;);e.exports={moduleType:&quot;component&quot;,name:&quot;shapes&quot;,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),includeBasePlot:t(&quot;../../plots/cartesian/include_components&quot;)(&quot;shapes&quot;),calcAutorange:t(&quot;./calc_autorange&quot;),draw:n.draw,drawOne:n.drawOne}},{&quot;../../plots/cartesian/include_components&quot;:551,&quot;./attributes&quot;:452,&quot;./calc_autorange&quot;:453,&quot;./defaults&quot;:455,&quot;./draw&quot;:456}],459:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../../plots/pad_attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendDeepAll,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/animation_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=t(&quot;./constants&quot;),c=l(&quot;step&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;},value:{valType:&quot;string&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;slider&quot;,{visible:{valType:&quot;boolean&quot;,dflt:!0},active:{valType:&quot;number&quot;,min:0,dflt:0},steps:c,lenmode:{valType:&quot;enumerated&quot;,values:[&quot;fraction&quot;,&quot;pixels&quot;],dflt:&quot;fraction&quot;},len:{valType:&quot;number&quot;,min:0,dflt:1},x:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},pad:a(i({editType:&quot;arraydraw&quot;}),{},{t:{dflt:20}}),xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:0},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},transition:{duration:{valType:&quot;number&quot;,min:0,dflt:150},easing:{valType:&quot;enumerated&quot;,values:s.transition.easing.values,dflt:&quot;cubic-in-out&quot;}},currentvalue:{visible:{valType:&quot;boolean&quot;,dflt:!0},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;left&quot;},offset:{valType:&quot;number&quot;,dflt:10},prefix:{valType:&quot;string&quot;},suffix:{valType:&quot;string&quot;},font:n({})},font:n({}),activebgcolor:{valType:&quot;color&quot;,dflt:u.gripBgActiveColor},bgcolor:{valType:&quot;color&quot;,dflt:u.railBgColor},bordercolor:{valType:&quot;color&quot;,dflt:u.railBorderColor},borderwidth:{valType:&quot;number&quot;,min:0,dflt:u.railBorderWidth},ticklen:{valType:&quot;number&quot;,min:0,dflt:u.tickLength},tickcolor:{valType:&quot;color&quot;,dflt:u.tickColor},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1},minorticklen:{valType:&quot;number&quot;,min:0,dflt:u.minorTickLength}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/animation_attributes&quot;:536,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;./constants&quot;:460}],460:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;sliders&quot;,containerClassName:&quot;slider-container&quot;,groupClassName:&quot;slider-group&quot;,inputAreaClass:&quot;slider-input-area&quot;,railRectClass:&quot;slider-rail-rect&quot;,railTouchRectClass:&quot;slider-rail-touch-rect&quot;,gripRectClass:&quot;slider-grip-rect&quot;,tickRectClass:&quot;slider-tick-rect&quot;,inputProxyClass:&quot;slider-input-proxy&quot;,labelsClass:&quot;slider-labels&quot;,labelGroupClass:&quot;slider-label-group&quot;,labelClass:&quot;slider-label&quot;,currentValueClass:&quot;slider-current-value&quot;,railHeight:5,menuIndexAttrName:&quot;slider-active-index&quot;,autoMarginIdRoot:&quot;slider-&quot;,minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:&quot;#bec8d9&quot;,railBgColor:&quot;#f8fafc&quot;,railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:&quot;#bec8d9&quot;,gripBgColor:&quot;#f6f8fa&quot;,gripBgActiveColor:&quot;#dbdde0&quot;,labelPadding:8,labelOffset:0,tickWidth:1,tickColor:&quot;#333&quot;,tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:&quot;#333&quot;,minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],461:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../plots/array_container_defaults&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;).name,s=a.steps;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}for(var s=i(t,e,{name:&quot;steps&quot;,handleItemDefaults:u}),l=0,c=0;c&lt;s.length;c++)s[c].visible&amp;&amp;l++;if(l&lt;2?e.visible=!1:o(&quot;visible&quot;)){e._stepCount=l;var f=e._visibleSteps=n.filterVisible(s);(s[o(&quot;active&quot;)]||{}).visible||(e.active=f[0]._index),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;len&quot;),o(&quot;lenmode&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;currentvalue.visible&quot;)&amp;&amp;(o(&quot;currentvalue.xanchor&quot;),o(&quot;currentvalue.prefix&quot;),o(&quot;currentvalue.suffix&quot;),o(&quot;currentvalue.offset&quot;),n.coerceFont(o,&quot;currentvalue.font&quot;,e.font)),o(&quot;transition.duration&quot;),o(&quot;transition.easing&quot;),o(&quot;bgcolor&quot;),o(&quot;activebgcolor&quot;),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;),o(&quot;ticklen&quot;),o(&quot;tickwidth&quot;),o(&quot;tickcolor&quot;),o(&quot;minorticklen&quot;)}}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}if(&quot;skip&quot;===t.method||Array.isArray(t.args)?r(&quot;visible&quot;):e.visible=!1){r(&quot;method&quot;),r(&quot;args&quot;);var i=r(&quot;label&quot;,&quot;step-&quot;+e._index);r(&quot;value&quot;,i),r(&quot;execute&quot;)}}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:459,&quot;./constants&quot;:460}],462:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;./constants&quot;),f=t(&quot;../../constants/alignment&quot;),h=f.LINE_SPACING,d=f.FROM_TL,p=f.FROM_BR;function g(t){return c.autoMarginIdRoot+t._index}function v(t){return t._index}function m(t,e){var r=o.tester.selectAll(&quot;g.&quot;+c.labelGroupClass).data(e._visibleSteps);r.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0);var a=0,u=0;r.each(function(t){var r=x(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);u=Math.max(u,i.height),a=Math.max(a,i.width)}}),r.remove();var f=e._dims={};f.inputAreaWidth=Math.max(c.railWidth,c.gripHeight);var h=t._fullLayout._size;f.lx=h.l+h.w*e.x,f.ly=h.t+h.h*(1-e.y),&quot;fraction&quot;===e.lenmode?f.outerLength=Math.round(h.w*e.len):f.outerLength=e.len,f.inputAreaStart=0,f.inputAreaLength=Math.round(f.outerLength-e.pad.l-e.pad.r);var v=(f.inputAreaLength-2*c.stepInset)/(e._stepCount-1),m=a+c.labelPadding;if(f.labelStride=Math.max(1,Math.ceil(m/v)),f.labelHeight=u,f.currentValueMaxWidth=0,f.currentValueHeight=0,f.currentValueTotalHeight=0,f.currentValueMaxLines=1,e.currentvalue.visible){var b=o.tester.append(&quot;g&quot;);r.each(function(t){var r=y(b,e,t.label),n=r.node()&amp;&amp;o.bBox(r.node())||{width:0,height:0},i=l.lineCount(r);f.currentValueMaxWidth=Math.max(f.currentValueMaxWidth,Math.ceil(n.width)),f.currentValueHeight=Math.max(f.currentValueHeight,Math.ceil(n.height)),f.currentValueMaxLines=Math.max(f.currentValueMaxLines,i)}),f.currentValueTotalHeight=f.currentValueHeight+e.currentvalue.offset,b.remove()}f.height=f.currentValueTotalHeight+c.tickOffset+e.ticklen+c.labelOffset+f.labelHeight+e.pad.t+e.pad.b;var _=&quot;left&quot;;s.isRightAnchor(e)&amp;&amp;(f.lx-=f.outerLength,_=&quot;right&quot;),s.isCenterAnchor(e)&amp;&amp;(f.lx-=f.outerLength/2,_=&quot;center&quot;);var w=&quot;top&quot;;s.isBottomAnchor(e)&amp;&amp;(f.ly-=f.height,w=&quot;bottom&quot;),s.isMiddleAnchor(e)&amp;&amp;(f.ly-=f.height/2,w=&quot;middle&quot;),f.outerLength=Math.ceil(f.outerLength),f.height=Math.ceil(f.height),f.lx=Math.round(f.lx),f.ly=Math.round(f.ly);var 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a&amp;&amp;(i=s.templateString(i,{meta:a})),n.call(o.font,r.font).text(i).call(l.convertToTspans,r._gd),n}function _(t,e){var r=s.ensureSingle(t,&quot;g&quot;,c.labelsClass),i=e._dims,a=r.selectAll(&quot;g.&quot;+c.labelGroupClass).data(i.labelSteps);a.enter().append(&quot;g&quot;).classed(c.labelGroupClass,!0),a.exit().remove(),a.each(function(t){var r=n.select(this);r.call(x,t,e),o.setTranslate(r,E(e,t.fraction),c.tickOffset+e.ticklen+e.font.size*h+c.labelOffset+i.currentValueTotalHeight)})}function w(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&amp;&amp;A(t,e,r,o,!0,i)}function A(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,c.name,r).applyUpdate(&quot;active&quot;,n);var l=r.steps[r.active];e.call(k,r,o),e.call(y,r),t.emit(&quot;plotly_sliderchange&quot;,{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&amp;&amp;l.method&amp;&amp;a&amp;&amp;(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame(function(){var r=e._nextMethod.step;r.method&amp;&amp;(r.execute&amp;&amp;i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)})))}function M(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}t.on(&quot;mousedown&quot;,function(){var t=s();e.emit(&quot;plotly_sliderstart&quot;,{slider:t});var l=r.select(&quot;.&quot;+c.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);w(e,r,t,u,!0),t._dragging=!0,o.on(&quot;mousemove&quot;,function(){var 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o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&amp;&amp;e.transition.duration&gt;0&amp;&amp;(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(&quot;transform&quot;,&quot;translate(&quot;+(o-.5*c.gripWidth)+&quot;,&quot;+e._dims.currentValueTotalHeight+&quot;)&quot;)}}function E(t,e){var r=t._dims;return r.inputAreaStart+c.stepInset+(r.inputAreaLength-2*c.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-c.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*c.stepInset-2*r.inputAreaStart)))}function S(t,e,r){var n=r._dims,i=s.ensureSingle(t,&quot;rect&quot;,c.railTouchRectClass,function(n){n.call(M,e,t,r).style(&quot;pointer-events&quot;,&quot;all&quot;)});i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,c.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(&quot;opacity&quot;,0),o.setTranslate(i,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*c.railInset,i=s.ensureSingle(t,&quot;rect&quot;,c.railRectClass);i.attr({width:n,height:c.railWidth,rx:c.railRadius,ry:c.railRadius,&quot;shape-rendering&quot;:&quot;crispEdges&quot;}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(&quot;stroke-width&quot;,e.borderwidth+&quot;px&quot;),o.setTranslate(i,c.railInset,.5*(r.inputAreaWidth-c.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[c.name],n=[],i=0;i&lt;r.length;i++){var a=r[i];a.visible&amp;&amp;(a._gd=e,n.push(a))}return n}(e,t),a=e._infolayer.selectAll(&quot;g.&quot;+c.containerClassName).data(r.length&gt;0?[0]:[]);function s(e){e._commandObserver&amp;&amp;(e._commandObserver.remove(),delete 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(k,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:460,d3:81}],463:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./constants&quot;);e.exports={moduleType:&quot;component&quot;,name:n.name,layoutAttributes:t(&quot;./attributes&quot;),supplyLayoutDefaults:t(&quot;./defaults&quot;),draw:t(&quot;./draw&quot;)}},{&quot;./attributes&quot;:459,&quot;./constants&quot;:460,&quot;./defaults&quot;:461,&quot;./draw&quot;:462}],464:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../../plots/plots&quot;),o=t(&quot;../../registry&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../drawing&quot;),u=t(&quot;../color&quot;),c=t(&quot;../../lib/svg_text_utils&quot;),f=t(&quot;../../constants/interactions&quot;);e.exports={draw:function(t,e,r){var d,p=r.propContainer,g=r.propName,v=r.placeholder,m=r.traceIndex,y=r.avoid||{},b=r.attributes,x=r.transform,_=r.containerGroup,w=t._fullLayout,A=1,M=!1,T=p.title,k=(T&amp;&amp;T.text?T.text:&quot;&quot;).trim(),E=T&amp;&amp;T.font?T.font:{},L=E.family,S=E.size,C=E.color;&quot;title.text&quot;===g?d=&quot;titleText&quot;:-1!==g.indexOf(&quot;axis&quot;)?d=&quot;axisTitleText&quot;:g.indexOf(!0)&amp;&amp;(d=&quot;colorbarTitleText&quot;);var O=t._context.edits[d];&quot;&quot;===k?A=0:k.replace(h,&quot; % &quot;)===v.replace(h,&quot; % &quot;)&amp;&amp;(A=.2,M=!0,O||(k=&quot;&quot;));w.meta&amp;&amp;(k=s.templateString(k,{meta:w.meta}));var R=k||O;_||(_=s.ensureSingle(w._infolayer,&quot;g&quot;,&quot;g-&quot;+e));var P=_.selectAll(&quot;text&quot;).data(R?[0]:[]);if(P.enter().append(&quot;text&quot;),P.text(k).attr(&quot;class&quot;,e),P.exit().remove(),!R)return _;function z(t){s.syncOrAsync([I,N],t)}function I(e){var r;return x?(r=&quot;&quot;,x.rotate&amp;&amp;(r+=&quot;rotate(&quot;+[x.rotate,b.x,b.y]+&quot;)&quot;),x.offset&amp;&amp;(r+=&quot;translate(0, &quot;+x.offset+&quot;)&quot;)):r=null,e.attr(&quot;transform&quot;,r),e.style({&quot;font-family&quot;:L,&quot;font-size&quot;:n.round(S,2)+&quot;px&quot;,fill:u.rgb(C),opacity:A*u.opacity(C),&quot;font-weight&quot;:a.fontWeight}).attr(b).call(c.convertToTspans,t),a.previousPromises(t)}function N(t){var e=n.select(t.node().parentNode);if(y&amp;&amp;y.selection&amp;&amp;y.side&amp;&amp;k){e.attr(&quot;transform&quot;,null);var 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n=t(&quot;../../plots/font_attributes&quot;),i=t(&quot;../color/attributes&quot;),a=t(&quot;../../lib/extend&quot;).extendFlat,o=t(&quot;../../plot_api/edit_types&quot;).overrideAll,s=t(&quot;../../plots/pad_attributes&quot;),l=t(&quot;../../plot_api/plot_template&quot;).templatedArray,u=l(&quot;button&quot;,{visible:{valType:&quot;boolean&quot;},method:{valType:&quot;enumerated&quot;,values:[&quot;restyle&quot;,&quot;relayout&quot;,&quot;animate&quot;,&quot;update&quot;,&quot;skip&quot;],dflt:&quot;restyle&quot;},args:{valType:&quot;info_array&quot;,freeLength:!0,items:[{valType:&quot;any&quot;},{valType:&quot;any&quot;},{valType:&quot;any&quot;}]},label:{valType:&quot;string&quot;,dflt:&quot;&quot;},execute:{valType:&quot;boolean&quot;,dflt:!0}});e.exports=o(l(&quot;updatemenu&quot;,{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:&quot;boolean&quot;},type:{valType:&quot;enumerated&quot;,values:[&quot;dropdown&quot;,&quot;buttons&quot;],dflt:&quot;dropdown&quot;},direction:{valType:&quot;enumerated&quot;,values:[&quot;left&quot;,&quot;right&quot;,&quot;up&quot;,&quot;down&quot;],dflt:&quot;down&quot;},active:{valType:&quot;integer&quot;,min:-1,dflt:0},showactive:{valType:&quot;boolean&quot;,dflt:!0},buttons:u,x:{valType:&quot;number&quot;,min:-2,max:3,dflt:-.05},xanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],dflt:&quot;right&quot;},y:{valType:&quot;number&quot;,min:-2,max:3,dflt:1},yanchor:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],dflt:&quot;top&quot;},pad:a(s({editType:&quot;arraydraw&quot;}),{}),font:n({}),bgcolor:{valType:&quot;color&quot;},bordercolor:{valType:&quot;color&quot;,dflt:i.borderLine},borderwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;arraydraw&quot;}}),&quot;arraydraw&quot;,&quot;from-root&quot;)},{&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/font_attributes&quot;:567,&quot;../../plots/pad_attributes&quot;:583,&quot;../color/attributes&quot;:375}],466:[function(t,e,r){&quot;use strict&quot;;e.exports={name:&quot;updatemenus&quot;,containerClassName:&quot;updatemenu-container&quot;,headerGroupClassName:&quot;updatemenu-header-group&quot;,headerClassName:&quot;updatemenu-header&quot;,headerArrowClassName:&quot;updatemenu-header-arrow&quot;,dropdownButtonGroupClassName:&quot;updatemenu-dropdown-button-group&quot;,dropdownButtonClassName:&quot;updatemenu-dropdown-button&quot;,buttonClassName:&quot;updatemenu-button&quot;,itemRectClassName:&quot;updatemenu-item-rect&quot;,itemTextClassName:&quot;updatemenu-item-text&quot;,menuIndexAttrName:&quot;updatemenu-active-index&quot;,autoMarginIdRoot:&quot;updatemenu-&quot;,blankHeaderOpts:{label:&quot;  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n.coerce(t,e,a,r,i)}o(&quot;visible&quot;,i(t,e,{name:&quot;buttons&quot;,handleItemDefaults:u}).length&gt;0)&amp;&amp;(o(&quot;active&quot;),o(&quot;direction&quot;),o(&quot;type&quot;),o(&quot;showactive&quot;),o(&quot;x&quot;),o(&quot;y&quot;),n.noneOrAll(t,e,[&quot;x&quot;,&quot;y&quot;]),o(&quot;xanchor&quot;),o(&quot;yanchor&quot;),o(&quot;pad.t&quot;),o(&quot;pad.r&quot;),o(&quot;pad.b&quot;),o(&quot;pad.l&quot;),n.coerceFont(o,&quot;font&quot;,r.font),o(&quot;bgcolor&quot;,r.paper_bgcolor),o(&quot;bordercolor&quot;),o(&quot;borderwidth&quot;))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(&quot;visible&quot;,&quot;skip&quot;===t.method||Array.isArray(t.args))&amp;&amp;(r(&quot;method&quot;),r(&quot;args&quot;),r(&quot;label&quot;),r(&quot;execute&quot;))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{&quot;../../lib&quot;:495,&quot;../../plots/array_container_defaults&quot;:537,&quot;./attributes&quot;:465,&quot;./constants&quot;:466}],468:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;../../plots/plots&quot;),a=t(&quot;../color&quot;),o=t(&quot;../drawing&quot;),s=t(&quot;../../lib&quot;),l=t(&quot;../../lib/svg_text_utils&quot;),u=t(&quot;../../plot_api/plot_template&quot;).arrayEditor,c=t(&quot;../../constants/alignment&quot;).LINE_SPACING,f=t(&quot;./constants&quot;),h=t(&quot;./scrollbox&quot;);function d(t){return t._index}function p(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function 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a=s.ensureSingle(e,&quot;g&quot;,f.headerClassName,function(t){t.style(&quot;pointer-events&quot;,&quot;all&quot;)}),l=i._dims,u=i.active,c=i.buttons[u]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},d={width:l.headerWidth,height:l.headerHeight};a.call(y,i,c,t).call(k,i,h,d),s.ensureSingle(e,&quot;text&quot;,f.headerArrowClassName,function(t){t.classed(&quot;user-select-none&quot;,!0).attr(&quot;text-anchor&quot;,&quot;end&quot;).call(o.font,i.font).text(f.arrowSymbol[i.direction])}).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(&quot;click&quot;,function(){r.call(E,String(p(r,i)?-1:i._index)),m(t,e,r,n,i)}),a.on(&quot;mouseover&quot;,function(){a.call(w)}),a.on(&quot;mouseout&quot;,function(){a.call(A,i)}),o.setTranslate(e,l.lx,l.ly)}function m(t,e,r,a,o){r||(r=e).attr(&quot;pointer-events&quot;,&quot;all&quot;);var 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r=n.select(this),a=&quot;dropdown&quot;===e.type?u:null;i.manageCommandObserver(t,e,e.buttons,function(n){g(t,e,e.buttons[n.index],r,a,x,n.index,!0)}),&quot;dropdown&quot;===e.type?(v(t,r,u,x,e),p(u,e)&amp;&amp;m(t,r,u,x,e)):m(t,r,null,null,e)})}}},{&quot;../../constants/alignment&quot;:471,&quot;../../lib&quot;:495,&quot;../../lib/svg_text_utils&quot;:518,&quot;../../plot_api/plot_template&quot;:531,&quot;../../plots/plots&quot;:584,&quot;../color&quot;:376,&quot;../drawing&quot;:397,&quot;./constants&quot;:466,&quot;./scrollbox&quot;:470,d3:81}],469:[function(t,e,r){arguments[4][463][0].apply(r,arguments)},{&quot;./attributes&quot;:465,&quot;./constants&quot;:466,&quot;./defaults&quot;:467,&quot;./draw&quot;:468,dup:463}],470:[function(t,e,r){&quot;use strict&quot;;e.exports=s;var n=t(&quot;d3&quot;),i=t(&quot;../color&quot;),a=t(&quot;../drawing&quot;),o=t(&quot;../../lib&quot;);function 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C=m&gt;A,O=s.barWidth+2*s.barPad,R=s.barLength+2*s.barPad,P=p+g,z=v;P+O&gt;l&amp;&amp;(P=l-O);var I=this.container.selectAll(&quot;rect.scrollbar-vertical&quot;).data(C?[0]:[]);I.exit().on(&quot;.drag&quot;,null).remove(),I.enter().append(&quot;rect&quot;).classed(&quot;scrollbar-vertical&quot;,!0).call(i.fill,s.barColor),C?(this.vbar=I.attr({rx:s.barRadius,ry:s.barRadius,x:P,y:z,width:O,height:R}),this._vbarYMin=z+R/2,this._vbarTranslateMax=A-R):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var N=this.id,D=c-.5,F=C?f+O+.5:f+.5,j=h-.5,B=M?d+k+.5:d+.5,U=o._topdefs.selectAll(&quot;#&quot;+N).data(M||C?[0]:[]);if(U.exit().remove(),U.enter().append(&quot;clipPath&quot;).attr(&quot;id&quot;,N).append(&quot;rect&quot;),M||C?(this._clipRect=U.select(&quot;rect&quot;).attr({x:Math.floor(D),y:Math.floor(j),width:Math.ceil(F)-Math.floor(D),height:Math.ceil(B)-Math.floor(j)}),this.container.call(a.setClipUrl,N,this.gd),this.bg.attr({x:p,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),M||C){var V=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault()}).on(&quot;drag&quot;,this._onBoxDrag.bind(this));this.container.on(&quot;wheel&quot;,null).on(&quot;wheel&quot;,this._onBoxWheel.bind(this)).on(&quot;.drag&quot;,null).call(V);var H=n.behavior.drag().on(&quot;dragstart&quot;,function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()}).on(&quot;drag&quot;,this._onBarDrag.bind(this));M&amp;&amp;this.hbar.on(&quot;.drag&quot;,null).call(H),C&amp;&amp;this.vbar.on(&quot;.drag&quot;,null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&amp;&amp;(this.bg.attr({width:0,height:0}),this.container.on(&quot;wheel&quot;,null).on(&quot;.drag&quot;,null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&amp;&amp;(this.hbar.on(&quot;.drag&quot;,null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&amp;&amp;(this.vbar.on(&quot;.drag&quot;,null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t-=n.event.dx),this.vbar&amp;&amp;(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&amp;&amp;(t+=n.event.deltaY),this.vbar&amp;&amp;(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&amp;&amp;this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{&quot;../../lib&quot;:495,&quot;../color&quot;:376,&quot;../drawing&quot;:397,d3:81}],471:[function(t,e,r){&quot;use 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n=t(&quot;../lib/is_plain_object&quot;),i=t(&quot;../lib/noop&quot;),a=t(&quot;../lib/loggers&quot;),o=t(&quot;../lib/search&quot;).sorterAsc,s=t(&quot;../registry&quot;);r.containerArrayMatch=t(&quot;./container_array_match&quot;);var l=r.isAddVal=function(t){return&quot;add&quot;===t||n(t)},u=r.isRemoveVal=function(t){return null===t||&quot;remove&quot;===t};r.applyContainerArrayChanges=function(t,e,r,n,c){var f=e.astr,h=s.getComponentMethod(f,&quot;supplyLayoutDefaults&quot;),d=s.getComponentMethod(f,&quot;draw&quot;),p=s.getComponentMethod(f,&quot;drawOne&quot;),g=n.replot||n.recalc||h===i||d===i,v=t.layout,m=t._fullLayout;if(r[&quot;&quot;]){Object.keys(r).length&gt;1&amp;&amp;a.warn(&quot;Full array edits are incompatible with other edits&quot;,f);var y=r[&quot;&quot;][&quot;&quot;];if(u(y))e.set(null);else{if(!Array.isArray(y))return a.warn(&quot;Unrecognized full array edit value&quot;,f,y),!0;e.set(y)}return!g&amp;&amp;(h(v,m),d(t),!0)}var 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y,b={},x=0;x&lt;v.length;x++){var _=v[x];b[y=_.type]=(b[y]||0)+1,_._fullInput._template||c.push({code:&quot;missing&quot;,index:_._fullInput.index,traceType:y})}for(y in l){var w=l[y].length,A=b[y]||0;w&gt;A?c.push({code:&quot;unused&quot;,traceType:y,templateCount:w,dataCount:A}):A&gt;w&amp;&amp;c.push({code:&quot;reused&quot;,traceType:y,templateCount:w,dataCount:A})}}else c.push({code:&quot;data&quot;});if(function t(e,r){for(var n in e)if(&quot;_&quot;!==n.charAt(0)){var a=e[n],o=d(e,n,r);i(a)?(Array.isArray(e)&amp;&amp;!1===a._template&amp;&amp;a.templateitemname&amp;&amp;c.push({code:&quot;missing&quot;,path:o,templateitemname:a.templateitemname}),t(a,o)):Array.isArray(a)&amp;&amp;p(a)&amp;&amp;t(a,o)}}({data:v,layout:h},&quot;&quot;),c.length)return c.map(g)}},{&quot;../lib&quot;:495,&quot;../plots/attributes&quot;:538,&quot;../plots/plots&quot;:584,&quot;./plot_config&quot;:529,&quot;./plot_schema&quot;:530,&quot;./plot_template&quot;:531}],534:[function(t,e,r){&quot;use 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n=t(&quot;../components/fx/attributes&quot;);e.exports={type:{valType:&quot;enumerated&quot;,values:[],dflt:&quot;scatter&quot;,editType:&quot;calc+clearAxisTypes&quot;,_noTemplating:!0},visible:{valType:&quot;enumerated&quot;,values:[!0,!1,&quot;legendonly&quot;],dflt:!0,editType:&quot;calc&quot;},showlegend:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;style&quot;},legendgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1,editType:&quot;style&quot;},name:{valType:&quot;string&quot;,editType:&quot;style&quot;},uid:{valType:&quot;string&quot;,editType:&quot;plot&quot;,anim:!0},ids:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;,anim:!0},customdata:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},selectedpoints:{valType:&quot;any&quot;,editType:&quot;calc&quot;},hoverinfo:{valType:&quot;flaglist&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;text&quot;,&quot;name&quot;],extras:[&quot;all&quot;,&quot;none&quot;,&quot;skip&quot;],arrayOk:!0,dflt:&quot;all&quot;,editType:&quot;none&quot;},hoverlabel:n.hoverlabel,stream:{token:{valType:&quot;string&quot;,noBlank:!0,strict:!0,editType:&quot;calc&quot;},maxpoints:{valType:&quot;number&quot;,min:0,max:1e4,dflt:500,editType:&quot;calc&quot;},editType:&quot;calc&quot;},transforms:{_isLinkedToArray:&quot;transform&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;}}},{&quot;../components/fx/attributes&quot;:406}],539:[function(t,e,r){&quot;use 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i=t._fullLayout;if(!i)return[];var a,o=r.listIds(t,e),s=new Array(o.length);for(a=0;a&lt;o.length;a++){var l=o[a];s[a]=i[l.charAt(0)+&quot;axis&quot;+l.substr(1)]}if(!n){var u=i._subplots.gl3d||[];for(a=0;a&lt;u.length;a++){var c=i[u[a]];e?s.push(c[e+&quot;axis&quot;]):s.push(c.xaxis,c.yaxis,c.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+&quot;axis&quot;]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var i=t._fullLayout;return&quot;x&quot;===n?e=e.replace(/y[0-9]*/,&quot;&quot;):&quot;y&quot;===n&amp;&amp;(e=e.replace(/x[0-9]*/,&quot;&quot;)),i[r.id2name(e)]},r.getFromTrace=function(t,e,i){var a=t._fullLayout,o=null;if(n.traceIs(e,&quot;gl3d&quot;)){var s=e.scene;&quot;scene&quot;===s.substr(0,5)&amp;&amp;(o=a[s][i+&quot;axis&quot;])}else o=r.getFromId(t,e[i+&quot;axis&quot;]||i);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return 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0}},nticks:{valType:&quot;integer&quot;,min:0,dflt:0,editType:&quot;ticks&quot;},tick0:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},dtick:{valType:&quot;any&quot;,editType:&quot;ticks&quot;,impliedEdits:{tickmode:&quot;linear&quot;}},tickvals:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticktext:{valType:&quot;data_array&quot;,editType:&quot;ticks&quot;},ticks:{valType:&quot;enumerated&quot;,values:[&quot;outside&quot;,&quot;inside&quot;,&quot;&quot;],editType:&quot;ticks&quot;},tickson:{valType:&quot;enumerated&quot;,values:[&quot;labels&quot;,&quot;boundaries&quot;],dflt:&quot;labels&quot;,editType:&quot;ticks&quot;},mirror:{valType:&quot;enumerated&quot;,values:[!0,&quot;ticks&quot;,!1,&quot;all&quot;,&quot;allticks&quot;],dflt:!1,editType:&quot;ticks+layoutstyle&quot;},ticklen:{valType:&quot;number&quot;,min:0,dflt:5,editType:&quot;ticks&quot;},tickwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},tickcolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},showticklabels:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},automargin:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},showspikes:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;modebar&quot;},spikecolor:{valType:&quot;color&quot;,dflt:null,editType:&quot;none&quot;},spikethickness:{valType:&quot;number&quot;,dflt:3,editType:&quot;none&quot;},spikedash:o({},a,{dflt:&quot;dash&quot;,editType:&quot;none&quot;}),spikemode:{valType:&quot;flaglist&quot;,flags:[&quot;toaxis&quot;,&quot;across&quot;,&quot;marker&quot;],dflt:&quot;toaxis&quot;,editType:&quot;none&quot;},spikesnap:{valType:&quot;enumerated&quot;,values:[&quot;data&quot;,&quot;cursor&quot;],dflt:&quot;data&quot;,editType:&quot;none&quot;},tickfont:n({editType:&quot;ticks&quot;}),tickangle:{valType:&quot;angle&quot;,dflt:&quot;auto&quot;,editType:&quot;ticks&quot;},tickprefix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showtickprefix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},ticksuffix:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},showticksuffix:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},showexponent:{valType:&quot;enumerated&quot;,values:[&quot;all&quot;,&quot;first&quot;,&quot;last&quot;,&quot;none&quot;],dflt:&quot;all&quot;,editType:&quot;ticks&quot;},exponentformat:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;e&quot;,&quot;E&quot;,&quot;power&quot;,&quot;SI&quot;,&quot;B&quot;],dflt:&quot;B&quot;,editType:&quot;ticks&quot;},separatethousands:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks&quot;},tickformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},tickformatstops:s(&quot;tickformatstop&quot;,{enabled:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dtickrange:{valType:&quot;info_array&quot;,items:[{valType:&quot;any&quot;,editType:&quot;ticks&quot;},{valType:&quot;any&quot;,editType:&quot;ticks&quot;}],editType:&quot;ticks&quot;},value:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;ticks&quot;},editType:&quot;ticks&quot;}),hoverformat:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;none&quot;},showline:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;ticks+layoutstyle&quot;},linecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;layoutstyle&quot;},linewidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks+layoutstyle&quot;},showgrid:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},gridcolor:{valType:&quot;color&quot;,dflt:i.lightLine,editType:&quot;ticks&quot;},gridwidth:{valType:&quot;number&quot;,min:0,dflt:1,editType:&quot;ticks&quot;},zeroline:{valType:&quot;boolean&quot;,editType:&quot;ticks&quot;},zerolinecolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},zerolinewidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},showdividers:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;ticks&quot;},dividercolor:{valType:&quot;color&quot;,dflt:i.defaultLine,editType:&quot;ticks&quot;},dividerwidth:{valType:&quot;number&quot;,dflt:1,editType:&quot;ticks&quot;},anchor:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},side:{valType:&quot;enumerated&quot;,values:[&quot;top&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;right&quot;],editType:&quot;plot&quot;},overlaying:{valType:&quot;enumerated&quot;,values:[&quot;free&quot;,l.idRegex.x.toString(),l.idRegex.y.toString()],editType:&quot;plot&quot;},layer:{valType:&quot;enumerated&quot;,values:[&quot;above traces&quot;,&quot;below traces&quot;],dflt:&quot;above traces&quot;,editType:&quot;plot&quot;},domain:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;},{valType:&quot;number&quot;,min:0,max:1,editType:&quot;plot&quot;}],dflt:[0,1],editType:&quot;plot&quot;},position:{valType:&quot;number&quot;,min:0,max:1,dflt:0,editType:&quot;plot&quot;},categoryorder:{valType:&quot;enumerated&quot;,values:[&quot;trace&quot;,&quot;category ascending&quot;,&quot;category 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n=t(&quot;../../lib&quot;),i=t(&quot;../../components/color&quot;),a=t(&quot;../../plot_api/plot_template&quot;),o=t(&quot;../layout_attributes&quot;),s=t(&quot;./layout_attributes&quot;),l=t(&quot;./type_defaults&quot;),u=t(&quot;./axis_defaults&quot;),c=t(&quot;./constraints&quot;).handleConstraintDefaults,f=t(&quot;./position_defaults&quot;),h=t(&quot;./axis_ids&quot;),d=h.id2name,p=h.name2id,g=t(&quot;../../registry&quot;),v=g.traceIs,m=g.getComponentMethod;function y(t,e,r){Array.isArray(t[e])?t[e].push(r):t[e]=[r]}e.exports=function(t,e,r){var h,g,b={},x={},_={},w={},A={};for(h=0;h&lt;r.length;h++){var M=r[h];if(v(M,&quot;cartesian&quot;)||v(M,&quot;gl2d&quot;)){var T,k;if(M.xaxis)y(b,T=d(M.xaxis),M);else if(M.xaxes)for(g=0;g&lt;M.xaxes.length;g++)y(b,d(M.xaxes[g]),M);if(M.yaxis)y(b,k=d(M.yaxis),M);else if(M.yaxes)for(g=0;g&lt;M.yaxes.length;g++)y(b,d(M.yaxes[g]),M);if(v(M,&quot;carpet&quot;)&amp;&amp;(&quot;carpet&quot;!==M.type||M._cheater)||T&amp;&amp;(_[T]=1),&quot;carpet&quot;===M.type&amp;&amp;M._cheater&amp;&amp;T&amp;&amp;(x[T]=1),v(M,&quot;2dMap&quot;)&amp;&amp;(w[T]=1,w[k]=1),v(M,&quot;oriented&quot;))A[&quot;h&quot;===M.orientation?k:T]=1}}var E=e._subplots,L=E.xaxis,S=E.yaxis,C=n.simpleMap(L,d),O=n.simpleMap(S,d),R=C.concat(O),P=i.background;L.length&amp;&amp;S.length&amp;&amp;(P=n.coerce(t,e,o,&quot;plot_bgcolor&quot;));var z,I,N,D,F=i.combine(P,e.paper_bgcolor);function j(t,e){return n.coerce(N,D,s,t,e)}function B(t,e){return n.coerce2(N,D,s,t,e)}function U(t){return&quot;x&quot;===t?S:L}var V={x:U(&quot;x&quot;),y:U(&quot;y&quot;)},H=V.x.concat(V.y);function q(e,r){for(var n=&quot;x&quot;===e?C:O,i=[],a=0;a&lt;n.length;a++){var o=n[a];o===r||(t[o]||{}).overlaying||i.push(p(o))}return i}for(h=0;h&lt;R.length;h++){I=(z=R[h]).charAt(0),n.isPlainObject(t[z])||(t[z]={}),N=t[z],D=a.newContainer(e,z,I+&quot;axis&quot;);var G=b[z]||[];D._traceIndices=G.map(function(t){return t._expandedIndex}),D._annIndices=[],D._shapeIndices=[],D._imgIndices=[],D._subplotsWith=[],D._counterAxes=[],D._name=D._attr=z;var X=D._id=p(z),W=q(I,z),Y={letter:I,font:e.font,outerTicks:w[z],showGrid:!A[z],data:G,bgColor:F,calendar:e.calendar,automargin:!0,cheateronly:&quot;x&quot;===I&amp;&amp;x[z]&amp;&amp;!_[z],splomStash:((e._splomAxes||{})[I]||{})[X]};j(&quot;uirevision&quot;,e.uirevision),l(N,D,j,Y),u(N,D,j,Y,e);var Z=B(&quot;spikecolor&quot;),Q=B(&quot;spikethickness&quot;),$=B(&quot;spikedash&quot;),J=B(&quot;spikemode&quot;),K=B(&quot;spikesnap&quot;);j(&quot;showspikes&quot;,!!(Z||Q||$||J||K))||(delete D.spikecolor,delete D.spikethickness,delete D.spikedash,delete D.spikemode,delete D.spikesnap),f(N,D,j,{letter:I,counterAxes:V[I],overlayableAxes:W,grid:e.grid}),D._input=N}var tt=m(&quot;rangeslider&quot;,&quot;handleDefaults&quot;),et=m(&quot;rangeselector&quot;,&quot;handleDefaults&quot;);for(h=0;h&lt;C.length;h++)z=C[h],N=t[z],D=e[z],tt(t,e,z),&quot;date&quot;===D.type&amp;&amp;et(N,D,e,O,D.calendar),j(&quot;fixedrange&quot;);for(h=0;h&lt;O.length;h++){z=O[h],N=t[z],D=e[z];var rt=e[d(D.anchor)];j(&quot;fixedrange&quot;,m(&quot;rangeslider&quot;,&quot;isVisible&quot;)(rt))}var nt=e._axisConstraintGroups=[],it=e._axisMatchGroups=[];for(h=0;h&lt;R.length;h++)I=(z=R[h]).charAt(0),N=t[z],D=e[z],c(N,D,j,H,e);for(h=0;h&lt;it.length;h++){var at,ot=it[h],st=null,lt=null;for(at in ot)(D=e[d(at)]).matches||(st=D.range,lt=D.autorange);if(null===st||null===lt)for(at in ot){st=(D=e[d(at)]).range,lt=D.autorange;break}for(at in ot)(D=e[d(at)]).matches&amp;&amp;(D.range=st.slice(),D.autorange=lt),D._matchGroup=ot;if(nt.length)for(at in ot)for(g=0;g&lt;nt.length;g++){var ut=nt[g];for(var ct in ut)at===ct&amp;&amp;(n.warn(&quot;Axis &quot;+ct+&quot; is set with both a 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f=l(&quot;gridcolor&quot;,n(s,o.bgColor,o.blend||i).toRgbString()),h=l(&quot;gridwidth&quot;);if(r(&quot;showgrid&quot;,o.showGrid||!!f||!!h)||(delete e.gridcolor,delete e.gridwidth),!o.noZeroLine){var d=l(&quot;zerolinecolor&quot;,s),p=l(&quot;zerolinewidth&quot;);r(&quot;zeroline&quot;,o.showGrid||!!d||!!p)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{&quot;../../components/color/attributes&quot;:375,&quot;../../lib&quot;:495,tinycolor2:342}],556:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;);e.exports=function(t,e,r,a){var o,s,l,u,c=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,d=a.grid;d&amp;&amp;(s=d._domains[h][d._axisMap[e._id]],o=d._anchors[e._id],s&amp;&amp;(l=d[h+&quot;side&quot;].split(&quot; 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n=t(&quot;../../constants/alignment&quot;).FROM_BL;e.exports=function(t,e,r){void 0===r&amp;&amp;(r=n[t.constraintoward||&quot;center&quot;]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)]}},{&quot;../../constants/alignment&quot;:471}],558:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;polybooljs&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;../../components/color&quot;),o=t(&quot;../../components/fx&quot;),s=t(&quot;../../lib/polygon&quot;),l=t(&quot;../../lib/throttle&quot;),u=t(&quot;../../components/fx/helpers&quot;).makeEventData,c=t(&quot;./axis_ids&quot;).getFromId,f=t(&quot;../../lib/clear_gl_canvases&quot;),h=t(&quot;../../plot_api/subroutines&quot;).redrawReglTraces,d=t(&quot;./constants&quot;),p=d.MINSELECT,g=s.filter,v=s.tester;function m(t){return t._id}function y(t,e,r,n,i,a,o){var s,l,u,c,f,h,d,p,g,v=e._hoverdata,m=e._fullLayout.clickmode.indexOf(&quot;event&quot;)&gt;-1,y=[];if(function(t){return t&amp;&amp;Array.isArray(t)&amp;&amp;!0!==t[0].hoverOnBox}(v)){w(t,e,a);var b=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n&lt;e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&amp;&amp;(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(v,s=M(e,r,n,i));if(b.pointNumbers.length&gt;0?function(t,e){var r,n,i,a=[];for(i=0;i&lt;t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&amp;&amp;r.cd[0].trace.selectedpoints.length&gt;0&amp;&amp;a.push(r);if(1===a.length&amp;&amp;a[0]===e.searchInfo&amp;&amp;(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i&lt;e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])&lt;0)return!1;return!0}return!1}(s,b):function(t){var e,r,n,i=0;for(n=0;n&lt;t.length;n++)if(e=t[n],(r=e.cd[0].trace).selectedpoints){if(r.selectedpoints.length&gt;1)return!1;if((i+=r.selectedpoints.length)&gt;1)return!1}return 1===i}(s)&amp;&amp;(h=k(b))){for(o&amp;&amp;o.remove(),g=0;g&lt;s.length;g++)(l=s[g])._module.selectPoints(l,!1);E(e,s),A(a),m&amp;&amp;e.emit(&quot;plotly_deselect&quot;,null)}else{for(d=t.shiftKey&amp;&amp;(void 0!==h?h:k(b)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:r}}(b.pointNumber,b.searchInfo,d),c=_(a.selectionDefs.concat([u])),g=0;g&lt;s.length;g++)if(f=L(s[g]._module.selectPoints(s[g],c),s[g]),y.length)for(var x=0;x&lt;f.length;x++)y.push(f[x]);else y=f;E(e,s,p={points:y}),u&amp;&amp;a&amp;&amp;a.selectionDefs.push(u),o&amp;&amp;T(a.mergedPolygons,o),m&amp;&amp;e.emit(&quot;plotly_selected&quot;,p)}}}function b(t){return&quot;pointNumber&quot;in t&amp;&amp;&quot;searchInfo&quot;in t}function x(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&amp;&amp;n===t.pointNumber},isRect:!1,degenerate:!1,subtract:t.subtract}}function _(t){for(var e=[],r=b(t[0])?0:t[0][0][0],n=r,i=b(t[0])?0:t[0][0][1],a=i,o=0;o&lt;t.length;o++)if(b(t[o]))e.push(x(t[o]));else{var l=s.tester(t[o]);l.subtract=t[o].subtract,e.push(l),r=Math.min(r,l.xmin),n=Math.max(n,l.xmax),i=Math.min(i,l.ymin),a=Math.max(a,l.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o&lt;e.length;o++)e[o].contains(t,r,n,i)&amp;&amp;(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function w(t,e,r){var n=e._fullLayout,i=n._zoomlayer,a=r.plotinfo,o=n._lastSelectedSubplot&amp;&amp;n._lastSelectedSubplot===a.id,s=t.shiftKey||t.altKey;o&amp;&amp;s&amp;&amp;a.selection&amp;&amp;a.selection.selectionDefs&amp;&amp;!r.selectionDefs?(r.selectionDefs=a.selection.selectionDefs,r.mergedPolygons=a.selection.mergedPolygons):s&amp;&amp;a.selection||A(r),o||(S(i),n._lastSelectedSubplot=a.id)}function A(t){var e=t.plotinfo;e.selection={},e.selection.selectionDefs=t.selectionDefs=[],e.selection.mergedPolygons=t.mergedPolygons=[]}function M(t,e,r,n){var i,a,o,s=[],l=e.map(m),u=r.map(m);for(o=0;o&lt;t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&amp;&amp;a._module&amp;&amp;a._module.selectPoints)if(!n||a.subplot!==n&amp;&amp;a.geo!==n)if(&quot;splom&quot;===a.type&amp;&amp;a._xaxes[l[0]]&amp;&amp;a._yaxes[u[0]]){var f=h(a._module,i,e[0],r[0]);f.scene=t._fullLayout._splomScenes[a.uid],s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(h(a._module,i,c(t,a.xaxis),c(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function T(t,e){var r,n,i=[];for(r=0;r&lt;t.length;r++){var a=t[r];i.push(a.join(&quot;L&quot;)+&quot;L&quot;+a[0])}n=t.length&gt;0?&quot;M&quot;+i.join(&quot;M&quot;)+&quot;Z&quot;:&quot;M0,0Z&quot;,e.attr(&quot;d&quot;,n)}function k(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length&gt;0?n[0]:r;return!!e.selectedpoints&amp;&amp;e.selectedpoints.indexOf(i)&gt;-1}function E(t,e,r){var n,a,o,s;for(n=0;n&lt;e.length;n++){var l=e[n].cd[0].trace._fullInput,u=t._fullLayout._tracePreGUI[l.uid];void 0===u.selectedpoints&amp;&amp;(u.selectedpoints=l._input.selectedpoints||null)}if(r){var c=r.points||[];for(n=0;n&lt;e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&amp;&amp;(s.selectedpoints=[]);for(n=0;n&lt;c.length;n++){var d=c[n],p=d.data,g=d.fullData;d.pointIndices?([].push.apply(p.selectedpoints,d.pointIndices),s._fullInput!==s&amp;&amp;[].push.apply(g.selectedpoints,d.pointIndices)):(p.selectedpoints.push(d.pointIndex),s._fullInput!==s&amp;&amp;g.selectedpoints.push(d.pointIndex))}}else for(n=0;n&lt;e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&amp;&amp;delete s._fullInput.selectedpoints;var v=!1;for(n=0;n&lt;e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,&quot;regl&quot;)&amp;&amp;(v=!0);var m=a._module,y=m.styleOnSelect||m.style;y&amp;&amp;y(t,o)}v&amp;&amp;(f(t),h(t))}function L(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i&lt;t.length;i++)t[i]=u(t[i],n,r);return t}function S(t){t.selectAll(&quot;.select-outline&quot;).remove()}e.exports={prepSelect:function(t,e,r,i,s){var u,c,f,h,m,b,x,k=i.gd,S=k._fullLayout,C=S._zoomlayer,O=i.element.getBoundingClientRect(),R=i.plotinfo,P=R.xaxis._offset,z=R.yaxis._offset,I=e-O.left,N=r-O.top,D=I,F=N,j=&quot;M&quot;+I+&quot;,&quot;+N,B=i.xaxes[0]._length,U=i.yaxes[0]._length,V=i.xaxes.concat(i.yaxes),H=t.altKey;w(t,k,i),&quot;lasso&quot;===s&amp;&amp;(u=g([[I,N]],d.BENDPX));var q=C.selectAll(&quot;path.select-outline-&quot;+R.id).data([1,2]);q.enter().append(&quot;path&quot;).attr(&quot;class&quot;,function(t){return&quot;select-outline select-outline-&quot;+t+&quot; select-outline-&quot;+R.id}).attr(&quot;transform&quot;,&quot;translate(&quot;+P+&quot;, &quot;+z+&quot;)&quot;).attr(&quot;d&quot;,j+&quot;Z&quot;);var 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p=u[d];c=t[p]||{},(f=a.newContainer(e,p))._id=p[0]+r.scene,f._name=p,s(c,f,h,r),l(c,f,h,{font:r.font,letter:p[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(&quot;gridcolor&quot;,n(f.color,r.bgColor,13600/187).toRgbString()),h(&quot;title.text&quot;,p[0]),f.setScale=i.noop,h(&quot;showspikes&quot;)&amp;&amp;(h(&quot;spikesides&quot;),h(&quot;spikethickness&quot;),h(&quot;spikecolor&quot;,f.color)),h(&quot;showaxeslabels&quot;),h(&quot;showbackground&quot;)&amp;&amp;h(&quot;backgroundcolor&quot;)}}},{&quot;../../../lib&quot;:495,&quot;../../../plot_api/plot_template&quot;:531,&quot;../../cartesian/axis_defaults&quot;:543,&quot;../../cartesian/type_defaults&quot;:564,&quot;./axis_attributes&quot;:572,tinycolor2:342}],574:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[&quot;sans-serif&quot;,&quot;sans-serif&quot;,&quot;sans-serif&quot;],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],this.labelEnable=[!0,!0,!0],this.labelFont=[&quot;Open Sans&quot;,&quot;Open Sans&quot;,&quot;Open Sans&quot;],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r&lt;3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t.meta?i.templateString(o.title.text,{meta:t.meta}):o.title.text,&quot;font&quot;in o.title&amp;&amp;(o.title.font.color&amp;&amp;(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&amp;&amp;(this.labelFont[r]=o.title.font.family),o.title.font.size&amp;&amp;(this.labelSize[r]=o.title.font.size)),&quot;showline&quot;in o&amp;&amp;(this.lineEnable[r]=o.showline),&quot;linecolor&quot;in o&amp;&amp;(this.lineColor[r]=n(o.linecolor)),&quot;linewidth&quot;in o&amp;&amp;(this.lineWidth[r]=o.linewidth),&quot;showgrid&quot;in o&amp;&amp;(this.gridEnable[r]=o.showgrid),&quot;gridcolor&quot;in o&amp;&amp;(this.gridColor[r]=n(o.gridcolor)),&quot;gridwidth&quot;in o&amp;&amp;(this.gridWidth[r]=o.gridwidth),&quot;log&quot;===o.type?this.zeroEnable[r]=!1:&quot;zeroline&quot;in o&amp;&amp;(this.zeroEnable[r]=o.zeroline),&quot;zerolinecolor&quot;in o&amp;&amp;(this.zeroLineColor[r]=n(o.zerolinecolor)),&quot;zerolinewidth&quot;in o&amp;&amp;(this.zeroLineWidth[r]=o.zerolinewidth),&quot;ticks&quot;in o&amp;&amp;o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,&quot;ticklen&quot;in o&amp;&amp;(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),&quot;tickcolor&quot;in o&amp;&amp;(this.lineTickColor[r]=n(o.tickcolor)),&quot;tickwidth&quot;in o&amp;&amp;(this.lineTickWidth[r]=o.tickwidth),&quot;tickangle&quot;in o&amp;&amp;(this.tickAngle[r]=&quot;auto&quot;===o.tickangle?-3600:Math.PI*-o.tickangle/180),&quot;showticklabels&quot;in o&amp;&amp;(this.tickEnable[r]=o.showticklabels),&quot;tickfont&quot;in o&amp;&amp;(o.tickfont.color&amp;&amp;(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&amp;&amp;(this.tickFont[r]=o.tickfont.family),o.tickfont.size&amp;&amp;(this.tickSize[r]=o.tickfont.size)),&quot;mirror&quot;in o?-1!==[&quot;ticks&quot;,&quot;all&quot;,&quot;allticks&quot;].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,&quot;showbackground&quot;in o&amp;&amp;!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{&quot;../../../lib&quot;:495,&quot;../../../lib/str2rgbarray&quot;:517}],575:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib&quot;),i=t(&quot;../../../components/color&quot;),a=t(&quot;../../../registry&quot;),o=t(&quot;../../subplot_defaults&quot;),s=t(&quot;./axis_defaults&quot;),l=t(&quot;./layout_attributes&quot;),u=t(&quot;../../get_data&quot;).getSubplotData,c=&quot;gl3d&quot;;function f(t,e,r,n){for(var o=r(&quot;bgcolor&quot;),l=i.combine(o,n.paper_bgcolor),f=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],h=0;h&lt;f.length;h++)r(&quot;camera.&quot;+f[h]+&quot;.x&quot;),r(&quot;camera.&quot;+f[h]+&quot;.y&quot;),r(&quot;camera.&quot;+f[h]+&quot;.z&quot;);r(&quot;camera.projection.type&quot;);var d=!!r(&quot;aspectratio.x&quot;)&amp;&amp;!!r(&quot;aspectratio.y&quot;)&amp;&amp;!!r(&quot;aspectratio.z&quot;),p=r(&quot;aspectmode&quot;,d?&quot;manual&quot;:&quot;auto&quot;);d||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},&quot;manual&quot;===p&amp;&amp;(e.aspectmode=&quot;auto&quot;),t.aspectmode=e.aspectmode);var g=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod(&quot;annotations3d&quot;,&quot;handleDefaults&quot;)(t,e,n);var v=n.getDfltFromLayout(&quot;dragmode&quot;);if(!1!==v&amp;&amp;!v)if(v=&quot;orbit&quot;,t.camera&amp;&amp;t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,b=t.camera.up.z;0!==b&amp;&amp;(m&amp;&amp;y&amp;&amp;b?b/Math.sqrt(m*m+y*y+b*b)&gt;.999&amp;&amp;(v=&quot;turntable&quot;):v=&quot;turntable&quot;)}else v=&quot;turntable&quot;;r(&quot;dragmode&quot;,v),r(&quot;hovermode&quot;,n.getDfltFromLayout(&quot;hovermode&quot;))}e.exports=function(t,e,r){var i=e._basePlotModules.length&gt;1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{&quot;../../../components/color&quot;:376,&quot;../../../lib&quot;:495,&quot;../../../registry&quot;:592,&quot;../../get_data&quot;:569,&quot;../../subplot_defaults&quot;:591,&quot;./axis_defaults&quot;:573,&quot;./layout_attributes&quot;:576}],576:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./axis_attributes&quot;),i=t(&quot;../../domain&quot;).attributes,a=t(&quot;../../../lib/extend&quot;).extendFlat,o=t(&quot;../../../lib&quot;).counterRegex;function s(t,e,r){return{x:{valType:&quot;number&quot;,dflt:t,editType:&quot;camera&quot;},y:{valType:&quot;number&quot;,dflt:e,editType:&quot;camera&quot;},z:{valType:&quot;number&quot;,dflt:r,editType:&quot;camera&quot;},editType:&quot;camera&quot;}}e.exports={_arrayAttrRegexps:[o(&quot;scene&quot;,&quot;.annotations&quot;,!0)],bgcolor:{valType:&quot;color&quot;,dflt:&quot;rgba(0,0,0,0)&quot;,editType:&quot;plot&quot;},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:&quot;enumerated&quot;,values:[&quot;perspective&quot;,&quot;orthographic&quot;],dflt:&quot;perspective&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;camera&quot;},domain:i({name:&quot;scene&quot;,editType:&quot;plot&quot;}),aspectmode:{valType:&quot;enumerated&quot;,values:[&quot;auto&quot;,&quot;cube&quot;,&quot;data&quot;,&quot;manual&quot;],dflt:&quot;auto&quot;,editType:&quot;plot&quot;,impliedEdits:{&quot;aspectratio.x&quot;:void 0,&quot;aspectratio.y&quot;:void 0,&quot;aspectratio.z&quot;:void 0}},aspectratio:{x:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},y:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},z:{valType:&quot;number&quot;,min:0,editType:&quot;plot&quot;,impliedEdits:{&quot;^aspectmode&quot;:&quot;manual&quot;}},editType:&quot;plot&quot;,impliedEdits:{aspectmode:&quot;manual&quot;}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:&quot;enumerated&quot;,values:[&quot;orbit&quot;,&quot;turntable&quot;,&quot;zoom&quot;,&quot;pan&quot;,!1],editType:&quot;plot&quot;},hovermode:{valType:&quot;enumerated&quot;,values:[&quot;closest&quot;,!1],dflt:&quot;closest&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;plot&quot;,_deprecated:{cameraposition:{valType:&quot;info_array&quot;,editType:&quot;camera&quot;}}}},{&quot;../../../lib&quot;:495,&quot;../../../lib/extend&quot;:488,&quot;../../domain&quot;:566,&quot;./axis_attributes&quot;:572}],577:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../lib/str2rgbarray&quot;),i=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e&lt;3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{&quot;../../../lib/str2rgbarray&quot;:517}],578:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u&lt;3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&amp;&amp;(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(&quot;auto&quot;===c.tickmode){c.tickmode=&quot;linear&quot;;var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var d=n.calcTicks(c),p=0;p&lt;d.length;++p)d[p].x=d[p].x*t.dataScale[u],&quot;date&quot;===c.type&amp;&amp;(d[p].text=d[p].text.replace(/\\&lt;br\\&gt;/g,&quot; &quot;));l[u]=d,c.tickmode=f}}e.ticks=l;for(var u=0;u&lt;3;++u){o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]);for(var p=0;p&lt;2;++p)e.bounds[p][u]=t.glplot.bounds[p][u]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r&lt;3;++r){for(var n=t[r],i=new Array(n.length),a=0;a&lt;n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(&quot;../../cartesian/axes&quot;),i=t(&quot;../../../lib&quot;),a=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;],o=[0,0,0]},{&quot;../../../lib&quot;:495,&quot;../../cartesian/axes&quot;:541}],579:[function(t,e,r){&quot;use strict&quot;;function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r&lt;4;++r)for(n=0;n&lt;4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],580:[function(t,e,r){&quot;use strict&quot;;var n,i,a=t(&quot;gl-plot3d&quot;).createCamera,o=t(&quot;gl-plot3d&quot;).createScene,s=t(&quot;webgl-context&quot;),l=t(&quot;has-passive-events&quot;),u=t(&quot;../../registry&quot;),c=t(&quot;../../lib&quot;),f=t(&quot;../../plots/cartesian/axes&quot;),h=t(&quot;../../components/fx&quot;),d=t(&quot;../../lib/str2rgbarray&quot;),p=t(&quot;../../lib/show_no_webgl_msg&quot;),g=t(&quot;./project&quot;),v=t(&quot;./layout/convert&quot;),m=t(&quot;./layout/spikes&quot;),y=t(&quot;./layout/tick_marks&quot;);function b(t,e,r,a){if(t.initializeGLCamera(),!function(t,e,r,a,l){var u={canvas:a,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(i||(n=document.createElement(&quot;canvas&quot;),i=s({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(&quot;error creating static canvas/context for image server&quot;);u.pixelRatio=t.pixelRatio,u.gl=i,u.canvas=n}try{t.glplot=o(u)}catch(t){return!1}return!0}(t,t.camera,e,r,a))return p(t);var u=t.graphDiv,d=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+&quot;.camera&quot;]=M(t.camera),t.saveCamera(u.layout),t.graphDiv.emit(&quot;plotly_relayout&quot;,e)}};return t.glplot.canvas.addEventListener(&quot;mouseup&quot;,function(){d(t)}),t.glplot.canvas.addEventListener(&quot;wheel&quot;,function(){u._context._scrollZoom.gl3d&amp;&amp;d(t)},!!l&amp;&amp;{passive:!1}),t.staticMode||t.glplot.canvas.addEventListener(&quot;webglcontextlost&quot;,function(e){u&amp;&amp;u.emit&amp;&amp;u.emit(&quot;plotly_webglcontextlost&quot;,{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.svgContainer,n=t.container.getBoundingClientRect(),i=n.width,a=n.height;r.setAttributeNS(null,&quot;viewBox&quot;,&quot;0 0 &quot;+i+&quot; &quot;+a),r.setAttributeNS(null,&quot;width&quot;,i),r.setAttributeNS(null,&quot;height&quot;,a),y(t),t.glplot.axes.update(t.axesOptions);for(var o,s=Object.keys(t.traces),l=null,u=t.glplot.selection,d=0;d&lt;s.length;++d)&quot;skip&quot;!==(e=t.traces[s[d]]).data.hoverinfo&amp;&amp;e.handlePick(u)&amp;&amp;(l=e),e.setContourLevels&amp;&amp;e.setContourLevels();function p(e,r){var n=t.fullSceneLayout[e];return f.tickText(n,n.d2l(r),&quot;hover&quot;).text}if(null!==l){var v=g(t.glplot.cameraParams,u.dataCoordinate);e=l.data;var m,b=u.index,x={xLabel:p(&quot;xaxis&quot;,u.traceCoordinate[0]),yLabel:p(&quot;yaxis&quot;,u.traceCoordinate[1]),zLabel:p(&quot;zaxis&quot;,u.traceCoordinate[2])},_=h.castHoverinfo(e,t.fullLayout,b),w=(_||&quot;&quot;).split(&quot;+&quot;),A=_&amp;&amp;&quot;all&quot;===_;e.hovertemplate||A||(-1===w.indexOf(&quot;x&quot;)&amp;&amp;(x.xLabel=void 0),-1===w.indexOf(&quot;y&quot;)&amp;&amp;(x.yLabel=void 0),-1===w.indexOf(&quot;z&quot;)&amp;&amp;(x.zLabel=void 0),-1===w.indexOf(&quot;text&quot;)&amp;&amp;(u.textLabel=void 0),-1===w.indexOf(&quot;name&quot;)&amp;&amp;(l.name=void 0));var M=[];&quot;cone&quot;===e.type||&quot;streamtube&quot;===e.type?(x.uLabel=p(&quot;xaxis&quot;,u.traceCoordinate[3]),(A||-1!==w.indexOf(&quot;u&quot;))&amp;&amp;M.push(&quot;u: &quot;+x.uLabel),x.vLabel=p(&quot;yaxis&quot;,u.traceCoordinate[4]),(A||-1!==w.indexOf(&quot;v&quot;))&amp;&amp;M.push(&quot;v: &quot;+x.vLabel),x.wLabel=p(&quot;zaxis&quot;,u.traceCoordinate[5]),(A||-1!==w.indexOf(&quot;w&quot;))&amp;&amp;M.push(&quot;w: &quot;+x.wLabel),x.normLabel=u.traceCoordinate[6].toPrecision(3),(A||-1!==w.indexOf(&quot;norm&quot;))&amp;&amp;M.push(&quot;norm: &quot;+x.normLabel),&quot;streamtube&quot;===e.type&amp;&amp;(x.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(A||-1!==w.indexOf(&quot;divergence&quot;))&amp;&amp;M.push(&quot;divergence: &quot;+x.divergenceLabel)),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):&quot;isosurface&quot;===e.type?(x.valueLabel=f.tickText(t.mockAxis,t.mockAxis.d2l(u.traceCoordinate[3]),&quot;hover&quot;).text,M.push(&quot;value: &quot;+x.valueLabel),u.textLabel&amp;&amp;M.push(u.textLabel),m=M.join(&quot;&lt;br&gt;&quot;)):m=u.textLabel;var T={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:e._input,fullData:e,curveNumber:e.index,pointNumber:b};h.appendArrayPointValue(T,e,b),e._module.eventData&amp;&amp;(T=e._module.eventData(T,u,e,{},b));var k={points:[T]};t.fullSceneLayout.hovermode&amp;&amp;h.loneHover({trace:e,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*a,xLabel:x.xLabel,yLabel:x.yLabel,zLabel:x.zLabel,text:m,name:l.name,color:h.castHoverOption(e,b,&quot;bgcolor&quot;)||l.color,borderColor:h.castHoverOption(e,b,&quot;bordercolor&quot;),fontFamily:h.castHoverOption(e,b,&quot;font.family&quot;),fontSize:h.castHoverOption(e,b,&quot;font.size&quot;),fontColor:h.castHoverOption(e,b,&quot;font.color&quot;),hovertemplate:c.castOption(e,b,&quot;hovertemplate&quot;),hovertemplateLabels:c.extendFlat({},T,x),eventData:[T]},{container:r,gd:t.graphDiv}),u.buttons&amp;&amp;u.distance&lt;5?t.graphDiv.emit(&quot;plotly_click&quot;,k):t.graphDiv.emit(&quot;plotly_hover&quot;,k),o=k}else h.loneUnhover(r),t.graphDiv.emit(&quot;plotly_unhover&quot;,o);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function x(t,e){var r=document.createElement(&quot;div&quot;),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(&quot;http://www.w3.org/2000/svg&quot;,&quot;svg&quot;);i.style.position=&quot;absolute&quot;,i.style.top=i.style.left=&quot;0px&quot;,i.style.width=i.style.height=&quot;100%&quot;,i.style[&quot;z-index&quot;]=20,i.style[&quot;pointer-events&quot;]=&quot;none&quot;,r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=&quot;absolute&quot;,r.style.top=r.style.left=&quot;0px&quot;,r.style.width=r.style.height=&quot;100%&quot;,n.appendChild(r),this.fullLayout=e,this.id=t.id||&quot;scene&quot;,this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=m(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;convert&quot;),this.drawAnnotations=u.getComponentMethod(&quot;annotations3d&quot;,&quot;draw&quot;),b(this,this.pixelRatio)}var _=x.prototype;_.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=&quot;orthographic&quot;===t.projection.type;this.camera=a(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:&quot;orbit&quot;})},_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas,n=this.glplot.camera,i=this.glplot.pixelRatio;this.glplot.dispose(),requestAnimationFrame(function a(){e.isContextLost()?requestAnimationFrame(a):b(t,n,i,r)?t.plot.apply(t,t.plotArgs):c.error(&quot;Catastrophic and unrecoverable WebGL error. Context lost.&quot;)})};var w=[&quot;xaxis&quot;,&quot;yaxis&quot;,&quot;zaxis&quot;];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i&lt;3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+&quot;calendar&quot;],f=e[&quot;_&quot;+o+&quot;length&quot;];if(c.isArrayOrTypedArray(l))for(var h,d=0;d&lt;(f||l.length);d++)if(c.isArrayOrTypedArray(l[d]))for(var p=0;p&lt;l[d].length;++p)h=s.d2l(l[d][p],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[d],0,u),!isNaN(h)&amp;&amp;isFinite(h)&amp;&amp;(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],f-1)}}function M(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?&quot;orthographic&quot;:&quot;perspective&quot;}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,u=e[this.id],c=r[this.id];u.bgcolor?this.glplot.clearColor=d(u.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=u,this.glplotLayout=u,this.axesOptions.merge(e,u),this.spikeOptions.merge(u),this.setCamera(u.camera),this.updateFx(u.dragmode,u.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i&lt;3;i++)for(var a=w[i],o=a.charAt(0),s=r[a],l=0;l&lt;n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&amp;&amp;isFinite(c)&amp;&amp;(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,f);var h=[1,1,1];for(o=0;o&lt;3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a&lt;t.length;++a)!0===(n=t[a]).visible&amp;&amp;((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a&lt;p.length;++a){for(o=0;o&lt;t.length;++o)if(t[o].uid===p[a]&amp;&amp;!0===t[o].visible)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(a=0;a&lt;3;++a){if((l=(s=u[w[a]]).type)in m?(m[l].acc*=h[a],m[l].count+=1):m[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,b=this.fullSceneLayout.annotations||[],x=s._name.charAt(0);for(o=0;o&lt;y.length;o++){var _=y[o],M=_.bounds,T=_._trace.data._pad||0;&quot;ErrorBars&quot;===_.constructor.name&amp;&amp;s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],M[0][a]/h[a]-T),g[1][a]=Math.max(g[1][a],M[1][a]/h[a]+T)}for(o=0;o&lt;b.length;o++){var k=b[o];if(k.visible){var E=s.r2l(k[x]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(&quot;rangemode&quot;in s&amp;&amp;&quot;tozero&quot;===s.rangemode&amp;&amp;(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]&gt;g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(&quot;reversed&quot;===s.autorange){var S=g[0][a];g[0][a]=g[1][a],g[1][a]=S}}else{var C=s.range;g[0][a]=s.r2l(C[0]),g[1][a]=s.r2l(C[1])}g[0][a]===g[1][a]&amp;&amp;(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*h[a],this.glplot.bounds[1][a]=g[1][a]*h[a]}var O=[1,1,1];for(a=0;a&lt;3;++a){var R=m[l=(s=u[w[a]]).type];O[a]=Math.pow(R.acc,1/R.count)/h[a]}var P;if(&quot;auto&quot;===u.aspectmode)P=Math.max.apply(null,O)/Math.min.apply(null,O)&lt;=4?O:[1,1,1];else if(&quot;cube&quot;===u.aspectmode)P=[1,1,1];else if(&quot;data&quot;===u.aspectmode)P=O;else{if(&quot;manual&quot;!==u.aspectmode)throw new Error(&quot;scene.js aspectRatio was not one of the enumerated types&quot;);var z=u.aspectratio;P=[z.x,z.y,z.z]}u.aspectratio.x=c.aspectratio.x=P[0],u.aspectratio.y=c.aspectratio.y=P[1],u.aspectratio.z=c.aspectratio.z=P[2],this.glplot.aspect=P;var I=u.domain||null,N=e._size||null;if(I&amp;&amp;N){var D=this.container.style;D.position=&quot;absolute&quot;,D.left=N.l+I.x[0]*N.w+&quot;px&quot;,D.top=N.t+(1-I.y[1])*N.h+&quot;px&quot;,D.width=N.w*(I.x[1]-I.x[0])+&quot;px&quot;,D.height=N.h*(I.y[1]-I.y[0])+&quot;px&quot;}this.glplot.redraw()}},_.destroy=function(){this.glplot&amp;&amp;(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(&quot;wheel&quot;,this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),M(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]);var r=&quot;orthographic&quot;===t.projection.type;if(r!==this.glplot.camera._ortho){this.glplot.redraw();var n=this.glplot.pixelRatio,i=this.glplot.clearColor;this.glplot.gl.clearColor(i[0],i[1],i[2],i[3]),this.glplot.gl.clear(this.glplot.gl.DEPTH_BUFFER_BIT|this.glplot.gl.COLOR_BUFFER_BIT),this.glplot.dispose(),b(this,n),this.glplot.camera._ortho=r}},_.saveCamera=function(t){var e=this.fullLayout,r=this.getCamera(),n=c.nestedProperty(t,this.id+&quot;.camera&quot;),i=n.get(),a=!1;function o(t,e,r,n){var i=[&quot;up&quot;,&quot;center&quot;,&quot;eye&quot;],a=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];return e[i[r]]&amp;&amp;t[i[r]][a[n]]===e[i[r]][a[n]]}if(void 0===i)a=!0;else{for(var s=0;s&lt;3;s++)for(var l=0;l&lt;3;l++)if(!o(r,i,s,l)){a=!0;break}(!i.projection||r.projection&amp;&amp;r.projection.type!==i.projection.type)&amp;&amp;(a=!0)}if(a){var f={};f[this.id+&quot;.camera&quot;]=i,u.call(&quot;_storeDirectGUIEdit&quot;,t,e._preGUI,f),n.set(r),c.nestedProperty(e,this.id+&quot;.camera&quot;).set(r)}return a},_.updateFx=function(t,e){var r=this.camera;if(r)if(&quot;orbit&quot;===t)r.mode=&quot;orbit&quot;,r.keyBindingMode=&quot;rotate&quot;;else if(&quot;turntable&quot;===t){r.up=[0,0,1],r.mode=&quot;turntable&quot;,r.keyBindingMode=&quot;rotate&quot;;var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)&lt;.999){var f=this.id+&quot;.camera.up&quot;,h={x:0,y:0,z:1},d={};d[f]=h;var p=n.layout;u.call(&quot;_storeDirectGUIEdit&quot;,p,i._preGUI,d),a.up=h,c.nestedProperty(p,f).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t=&quot;png&quot;),this.staticMode&amp;&amp;this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o&lt;s;++o,--s)for(var l=0;l&lt;r;++l)for(var u=0;u&lt;4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(&quot;canvas&quot;);f.width=r,f.height=i;var h,d=f.getContext(&quot;2d&quot;),p=d.createImageData(r,i);switch(p.data.set(a),d.putImageData(p,0,0),t){case&quot;jpeg&quot;:h=f.toDataURL(&quot;image/jpeg&quot;);break;case&quot;webp&quot;:h=f.toDataURL(&quot;image/webp&quot;);break;default:h=f.toDataURL(&quot;image/png&quot;)}return this.staticMode&amp;&amp;this.container.removeChild(n),h},_.setConvert=function(){for(var t=0;t&lt;3;t++){var e=this.fullSceneLayout[w[t]];f.setConvert(e,this.fullLayout),e.setScale=c.noop}},_.make4thDimension=function(){var t=this.graphDiv._fullLayout;this.mockAxis={type:&quot;linear&quot;,showexponent:&quot;all&quot;,exponentformat:&quot;B&quot;},f.setConvert(this.mockAxis,t)},e.exports=x},{&quot;../../components/fx&quot;:415,&quot;../../lib&quot;:495,&quot;../../lib/show_no_webgl_msg&quot;:515,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/cartesian/axes&quot;:541,&quot;../../registry&quot;:592,&quot;./layout/convert&quot;:574,&quot;./layout/spikes&quot;:577,&quot;./layout/tick_marks&quot;:578,&quot;./project&quot;:579,&quot;gl-plot3d&quot;:142,&quot;has-passive-events&quot;:252,&quot;webgl-context&quot;:357}],581:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a&lt;n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],582:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./font_attributes&quot;),i=t(&quot;./animation_attributes&quot;),a=t(&quot;../components/color/attributes&quot;),o=t(&quot;../components/colorscale/layout_attributes&quot;),s=t(&quot;./pad_attributes&quot;),l=t(&quot;../lib/extend&quot;).extendFlat,u=n({editType:&quot;calc&quot;});u.family.dflt=&#x27;&quot;Open Sans&quot;, verdana, arial, sans-serif&#x27;,u.size.dflt=12,u.color.dflt=a.defaultLine,e.exports={font:u,title:{text:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},font:n({editType:&quot;layoutstyle&quot;}),xref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},yref:{valType:&quot;enumerated&quot;,dflt:&quot;container&quot;,values:[&quot;container&quot;,&quot;paper&quot;],editType:&quot;layoutstyle&quot;},x:{valType:&quot;number&quot;,min:0,max:1,dflt:.5,editType:&quot;layoutstyle&quot;},y:{valType:&quot;number&quot;,min:0,max:1,dflt:&quot;auto&quot;,editType:&quot;layoutstyle&quot;},xanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;left&quot;,&quot;center&quot;,&quot;right&quot;],editType:&quot;layoutstyle&quot;},yanchor:{valType:&quot;enumerated&quot;,dflt:&quot;auto&quot;,values:[&quot;auto&quot;,&quot;top&quot;,&quot;middle&quot;,&quot;bottom&quot;],editType:&quot;layoutstyle&quot;},pad:l(s({editType:&quot;layoutstyle&quot;}),{}),editType:&quot;layoutstyle&quot;},autosize:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;none&quot;},width:{valType:&quot;number&quot;,min:10,dflt:700,editType:&quot;plot&quot;},height:{valType:&quot;number&quot;,min:10,dflt:450,editType:&quot;plot&quot;},margin:{l:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},r:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},t:{valType:&quot;number&quot;,min:0,dflt:100,editType:&quot;plot&quot;},b:{valType:&quot;number&quot;,min:0,dflt:80,editType:&quot;plot&quot;},pad:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},autoexpand:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},paper_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;plot&quot;},plot_bgcolor:{valType:&quot;color&quot;,dflt:a.background,editType:&quot;layoutstyle&quot;},separators:{valType:&quot;string&quot;,editType:&quot;plot&quot;},hidesources:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;plot&quot;},showlegend:{valType:&quot;boolean&quot;,editType:&quot;legend&quot;},colorway:{valType:&quot;colorlist&quot;,dflt:a.defaults,editType:&quot;calc&quot;},colorscale:o,datarevision:{valType:&quot;any&quot;,editType:&quot;calc&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},selectionrevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},template:{valType:&quot;any&quot;,editType:&quot;calc&quot;},modebar:{orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],dflt:&quot;h&quot;,editType:&quot;modebar&quot;},bgcolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},color:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},activecolor:{valType:&quot;color&quot;,editType:&quot;modebar&quot;},uirevision:{valType:&quot;any&quot;,editType:&quot;none&quot;},editType:&quot;modebar&quot;},meta:{valType:&quot;data_array&quot;,editType:&quot;plot&quot;},transition:l({},i.transition,{editType:&quot;none&quot;}),_deprecated:{title:{valType:&quot;string&quot;,editType:&quot;layoutstyle&quot;},titlefont:n({editType:&quot;layoutstyle&quot;})}}},{&quot;../components/color/attributes&quot;:375,&quot;../components/colorscale/layout_attributes&quot;:389,&quot;../lib/extend&quot;:488,&quot;./animation_attributes&quot;:536,&quot;./font_attributes&quot;:567,&quot;./pad_attributes&quot;:583}],583:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){var e=t.editType;return{t:{valType:&quot;number&quot;,dflt:0,editType:e},r:{valType:&quot;number&quot;,dflt:0,editType:e},b:{valType:&quot;number&quot;,dflt:0,editType:e},l:{valType:&quot;number&quot;,dflt:0,editType:e},editType:e}}},{}],584:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;d3&quot;),i=t(&quot;fast-isnumeric&quot;),a=t(&quot;../registry&quot;),o=t(&quot;../plot_api/plot_schema&quot;),s=t(&quot;../plot_api/plot_template&quot;),l=t(&quot;../lib&quot;),u=t(&quot;../components/color&quot;),c=t(&quot;../constants/numerical&quot;).BADNUM,f=t(&quot;../plots/cartesian/axis_ids&quot;),h=t(&quot;./animation_attributes&quot;),d=t(&quot;./frame_attributes&quot;),p=l.relinkPrivateKeys,g=l._,v=e.exports={};l.extendFlat(v,a),v.attributes=t(&quot;./attributes&quot;),v.attributes.type.values=v.allTypes,v.fontAttrs=t(&quot;./font_attributes&quot;),v.layoutAttributes=t(&quot;./layout_attributes&quot;),v.fontWeight=&quot;normal&quot;;var 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d=o[h];d[0][0].trace._module.plot(t,e,l.filterVisible(d),n)}e.traceHash=o}},{&quot;../components/color&quot;:376,&quot;../constants/numerical&quot;:475,&quot;../lib&quot;:495,&quot;../plot_api/plot_schema&quot;:530,&quot;../plot_api/plot_template&quot;:531,&quot;../plots/cartesian/axis_ids&quot;:544,&quot;../registry&quot;:592,&quot;./animation_attributes&quot;:536,&quot;./attributes&quot;:538,&quot;./command&quot;:565,&quot;./font_attributes&quot;:567,&quot;./frame_attributes&quot;:568,&quot;./layout_attributes&quot;:582,d3:81,&quot;fast-isnumeric&quot;:90}],585:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../../traces/scatter/attributes&quot;),i=n.marker,a=t(&quot;../../../lib/extend&quot;).extendFlat;[&quot;Area traces are deprecated!&quot;,&quot;Please switch to the *barpolar* trace type.&quot;].join(&quot; &quot;);e.exports={r:a({},n.r,{}),t:a({},n.t,{}),marker:{color:a({},i.color,{}),size:a({},i.size,{}),symbol:a({},i.symbol,{}),opacity:a({},i.opacity,{}),editType:&quot;calc&quot;}}},{&quot;../../../lib/extend&quot;:488,&quot;../../../traces/scatter/attributes&quot;:616}],586:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../cartesian/layout_attributes&quot;),i=t(&quot;../../../lib/extend&quot;).extendFlat,a=t(&quot;../../../plot_api/edit_types&quot;).overrideAll,o=[&quot;Legacy polar charts are deprecated!&quot;,&quot;Please switch to *polar* subplots.&quot;].join(&quot; &quot;),s=i({},n.domain,{});function l(t,e){return i({},e,{showline:{valType:&quot;boolean&quot;},showticklabels:{valType:&quot;boolean&quot;},tickorientation:{valType:&quot;enumerated&quot;,values:[&quot;horizontal&quot;,&quot;vertical&quot;]},ticklen:{valType:&quot;number&quot;,min:0},tickcolor:{valType:&quot;color&quot;},ticksuffix:{valType:&quot;string&quot;},endpadding:{valType:&quot;number&quot;,description:o},visible:{valType:&quot;boolean&quot;}})}e.exports=a({radialaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;},{valType:&quot;number&quot;}]},domain:s,orientation:{valType:&quot;number&quot;}}),angularaxis:l(0,{range:{valType:&quot;info_array&quot;,items:[{valType:&quot;number&quot;,dflt:0},{valType:&quot;number&quot;,dflt:360}]},domain:s}),layout:{direction:{valType:&quot;enumerated&quot;,values:[&quot;clockwise&quot;,&quot;counterclockwise&quot;]},orientation:{valType:&quot;angle&quot;}}},&quot;plot&quot;,&quot;nested&quot;)},{&quot;../../../lib/extend&quot;:488,&quot;../../../plot_api/edit_types&quot;:524,&quot;../../cartesian/layout_attributes&quot;:553}],587:[function(t,e,r){&quot;use strict&quot;;(e.exports=t(&quot;./micropolar&quot;)).manager=t(&quot;./micropolar_manager&quot;)},{&quot;./micropolar&quot;:588,&quot;./micropolar_manager&quot;:589}],588:[function(t,e,r){var n=t(&quot;d3&quot;),i=t(&quot;../../../lib&quot;).extendDeepAll,a=t(&quot;../../../constants/alignment&quot;).MID_SHIFT,o=e.exports={version:&quot;0.2.2&quot;};o.Axis=function(){var t,e,r,s,l={data:[],layout:{}},u={},c={},f=n.dispatch(&quot;hover&quot;),h={};return h.render=function(u){return function(u){e=u||e;var f=l.data,h=l.layout;(&quot;string&quot;==typeof e||e.nodeName)&amp;&amp;(e=n.select(e)),e.datum(f).each(function(e,l){var u=e.slice();c={data:o.util.cloneJson(u),layout:o.util.cloneJson(h)};var f=0;u.forEach(function(t,e){t.color||(t.color=h.defaultColorRange[f],f=(f+1)%h.defaultColorRange.length),t.strokeColor||(t.strokeColor=&quot;LinePlot&quot;===t.geometry?t.color:n.rgb(t.color).darker().toString()),c.data[e].color=t.color,c.data[e].strokeColor=t.strokeColor,c.data[e].strokeDash=t.strokeDash,c.data[e].strokeSize=t.strokeSize});var d=u.filter(function(t,e){var r=t.visible;return&quot;undefined&quot;==typeof r||!0===r}),p=!1,g=d.map(function(t,e){return p=p||&quot;undefined&quot;!=typeof t.groupId,t});if(p){var v=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.groupId?t.groupId:&quot;unstacked&quot;}).entries(g),m=[],y=v.map(function(t,e){if(&quot;unstacked&quot;===t.key)return t.values;var r=t.values[0].r.map(function(t,e){return 0});return t.values.forEach(function(t,e,n){t.yStack=[r],m.push(r),r=o.util.sumArrays(t.r,r)}),t.values});d=n.merge(y)}d.forEach(function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]});var b=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;b=Math.max(10,b);var x,_=[h.margin.left+b,h.margin.top+b];x=p?[0,n.max(o.util.sumArrays(o.util.arrayLast(d).r[0],o.util.arrayLast(m)))]:n.extent(o.util.flattenArray(d.map(function(t,e){return t.r}))),h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;(x[0]=0),r=n.scale.linear().domain(h.radialAxis.domain!=o.DATAEXTENT&amp;&amp;h.radialAxis.domain?h.radialAxis.domain:x).range([0,b]),c.layout.radialAxis.domain=r.domain();var w,A=o.util.flattenArray(d.map(function(t,e){return t.t})),M=&quot;string&quot;==typeof A[0];M&amp;&amp;(A=o.util.deduplicate(A),w=A.slice(),A=n.range(A.length),d=d.map(function(t,e){var r=t;return t.t=[A],p&amp;&amp;(r.yStack=t.yStack),r}));var T=d.filter(function(t,e){return&quot;LinePlot&quot;===t.geometry||&quot;DotPlot&quot;===t.geometry}).length===d.length,k=null===h.needsEndSpacing?M||!T:h.needsEndSpacing,E=h.angularAxis.domain&amp;&amp;h.angularAxis.domain!=o.DATAEXTENT&amp;&amp;!M&amp;&amp;h.angularAxis.domain[0]&gt;=0?h.angularAxis.domain:n.extent(A),L=Math.abs(A[1]-A[0]);T&amp;&amp;!M&amp;&amp;(L=0);var S=E.slice();k&amp;&amp;M&amp;&amp;(S[1]+=L);var C=h.angularAxis.ticksCount||4;C&gt;8&amp;&amp;(C=C/(C/8)+C%8),h.angularAxis.ticksStep&amp;&amp;(C=(S[1]-S[0])/C);var O=h.angularAxis.ticksStep||(S[1]-S[0])/(C*(h.minorTicks+1));w&amp;&amp;(O=Math.max(Math.round(O),1)),S[2]||(S[2]=O);var R=n.range.apply(this,S);if(R=R.map(function(t,e){return parseFloat(t.toPrecision(12))}),s=n.scale.linear().domain(S.slice(0,2)).range(&quot;clockwise&quot;===h.direction?[0,360]:[360,0]),c.layout.angularAxis.domain=s.domain(),c.layout.angularAxis.endPadding=k?L:0,&quot;undefined&quot;==typeof(t=n.select(this).select(&quot;svg.chart-root&quot;))||t.empty()){var P=(new DOMParser).parseFromString(&quot;&lt;svg xmlns=&#x27;http://www.w3.org/2000/svg&#x27; class=&#x27;chart-root&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;outer-group&#x27;&gt;&#x27; + &#x27;&lt;g class=&#x27;chart-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;background-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;g class=&#x27;geometry-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;radial axis-group&#x27;&gt;&#x27; + &#x27;&lt;circle class=&#x27;outside-circle&#x27;&gt;&lt;/circle&gt;&#x27; + &#x27;&lt;/g&gt;&#x27; + &#x27;&lt;g class=&#x27;angular axis-group&#x27;&gt;&lt;/g&gt;&#x27; + &#x27;&lt;g 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I,N=t.select(&quot;.chart-group&quot;),D={fill:&quot;none&quot;,stroke:h.tickColor},F={&quot;font-size&quot;:h.font.size,&quot;font-family&quot;:h.font.family,fill:h.font.color,&quot;text-shadow&quot;:[&quot;-1px 0px&quot;,&quot;1px -1px&quot;,&quot;-1px 1px&quot;,&quot;1px 1px&quot;].map(function(t,e){return&quot; &quot;+t+&quot; 0 &quot;+h.font.outlineColor}).join(&quot;,&quot;)};if(h.showLegend){I=t.select(&quot;.legend-group&quot;).attr({transform:&quot;translate(&quot;+[b,h.margin.top]+&quot;)&quot;}).style({display:&quot;block&quot;});var j=d.map(function(t,e){var r=o.util.cloneJson(t);return r.symbol=&quot;DotPlot&quot;===t.geometry?t.dotType||&quot;circle&quot;:&quot;LinePlot&quot;!=t.geometry?&quot;square&quot;:&quot;line&quot;,r.visibleInLegend=&quot;undefined&quot;==typeof t.visibleInLegend||t.visibleInLegend,r.color=&quot;LinePlot&quot;===t.geometry?t.strokeColor:t.color,r});o.Legend().config({data:d.map(function(t,e){return t.name||&quot;Element&quot;+e}),legendConfig:i({},o.Legend.defaultConfig().legendConfig,{container:I,elements:j,reverseOrder:h.legend.reverseOrder})})();var B=I.node().getBBox();b=Math.min(h.width-B.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2,b=Math.max(10,b),_=[h.margin.left+b,h.margin.top+b],r.range([0,b]),c.layout.radialAxis.domain=r.domain(),I.attr(&quot;transform&quot;,&quot;translate(&quot;+[_[0]+b,_[1]-b]+&quot;)&quot;)}else I=t.select(&quot;.legend-group&quot;).style({display:&quot;none&quot;});t.attr({width:h.width,height:h.height}).style({opacity:h.opacity}),N.attr(&quot;transform&quot;,&quot;translate(&quot;+_+&quot;)&quot;).style({cursor:&quot;crosshair&quot;});var U=[(h.width-(h.margin.left+h.margin.right+2*b+(B?B.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*b))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(&quot;.outer-group&quot;).attr(&quot;transform&quot;,&quot;translate(&quot;+U+&quot;)&quot;),h.title&amp;&amp;h.title.text){var V=t.select(&quot;g.title-group text&quot;).style(F).text(h.title.text),H=V.node().getBBox();V.attr({x:_[0]-H.width/2,y:_[1]-b-20})}var q=t.select(&quot;.radial.axis-group&quot;);if(h.radialAxis.gridLinesVisible){var G=q.selectAll(&quot;circle.grid-circle&quot;).data(r.ticks(5));G.enter().append(&quot;circle&quot;).attr({class:&quot;grid-circle&quot;}).style(D),G.attr(&quot;r&quot;,r),G.exit().remove()}q.select(&quot;circle.outside-circle&quot;).attr({r:b}).style(D);var X=t.select(&quot;circle.background-circle&quot;).attr({r:b}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var Y=n.svg.axis().scale(r).ticks(5).tickSize(5);q.call(Y).attr({transform:&quot;rotate(&quot;+h.radialAxis.orientation+&quot;)&quot;}),q.selectAll(&quot;.domain&quot;).style(D),q.selectAll(&quot;g&gt;text&quot;).text(function(t,e){return this.textContent+h.radialAxis.ticksSuffix}).style(F).style({&quot;text-anchor&quot;:&quot;start&quot;}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return&quot;horizontal&quot;===h.radialAxis.tickOrientation?&quot;rotate(&quot;+-h.radialAxis.orientation+&quot;) translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;:&quot;translate(&quot;+[0,F[&quot;font-size&quot;]]+&quot;)&quot;}}),q.selectAll(&quot;g&gt;line&quot;).style({stroke:&quot;black&quot;})}var Z=t.select(&quot;.angular.axis-group&quot;).selectAll(&quot;g.angular-tick&quot;).data(R),Q=Z.enter().append(&quot;g&quot;).classed(&quot;angular-tick&quot;,!0);Z.attr({transform:function(t,e){return&quot;rotate(&quot;+W(t)+&quot;)&quot;}}).style({display:h.angularAxis.visible?&quot;block&quot;:&quot;none&quot;}),Z.exit().remove(),Q.append(&quot;line&quot;).classed(&quot;grid-line&quot;,!0).classed(&quot;major&quot;,function(t,e){return e%(h.minorTicks+1)==0}).classed(&quot;minor&quot;,function(t,e){return!(e%(h.minorTicks+1)==0)}).style(D),Q.selectAll(&quot;.minor&quot;).style({stroke:h.minorTickColor}),Z.select(&quot;line.grid-line&quot;).attr({x1:h.tickLength?b-h.tickLength:0,x2:b}).style({display:h.angularAxis.gridLinesVisible?&quot;block&quot;:&quot;none&quot;}),Q.append(&quot;text&quot;).classed(&quot;axis-text&quot;,!0).style(F);var $=Z.select(&quot;text.axis-text&quot;).attr({x:b+h.labelOffset,dy:a+&quot;em&quot;,transform:function(t,e){var r=W(t),n=b+h.labelOffset,i=h.angularAxis.tickOrientation;return&quot;horizontal&quot;==i?&quot;rotate(&quot;+-r+&quot; &quot;+n+&quot; 0)&quot;:&quot;radial&quot;==i?r&lt;270&amp;&amp;r&gt;90?&quot;rotate(180 &quot;+n+&quot; 0)&quot;:null:&quot;rotate(&quot;+(r&lt;=180&amp;&amp;r&gt;0?-90:90)+&quot; &quot;+n+&quot; 0)&quot;}}).style({&quot;text-anchor&quot;:&quot;middle&quot;,display:h.angularAxis.labelsVisible?&quot;block&quot;:&quot;none&quot;}).text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:w?w[t]+h.angularAxis.ticksSuffix:t+h.angularAxis.ticksSuffix}).style(F);h.angularAxis.rewriteTicks&amp;&amp;$.text(function(t,e){return e%(h.minorTicks+1)!=0?&quot;&quot;:h.angularAxis.rewriteTicks(this.textContent,e)});var J=n.max(N.selectAll(&quot;.angular-tick text&quot;)[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));I.attr({transform:&quot;translate(&quot;+[b+J,h.margin.top]+&quot;)&quot;});var K=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g&quot;).size()&gt;0,tt=t.select(&quot;g.geometry-group&quot;).selectAll(&quot;g.geometry&quot;).data(d);if(tt.enter().append(&quot;g&quot;).attr({class:function(t,e){return&quot;geometry geometry&quot;+e}}),tt.exit().remove(),d[0]||K){var et=[];d.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=h.orientation,n.direction=h.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return&quot;undefined&quot;!=typeof t.data.groupId||&quot;unstacked&quot;}).entries(et),nt=[];rt.forEach(function(t,e){&quot;unstacked&quot;===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var r;r=Array.isArray(t)?t[0].geometryConfig.geometry:t.geometryConfig.geometry;var n=t.map(function(t,e){return i(o[r].defaultConfig(),t)});o[r]().config(n)()})}var it,at,ot=t.select(&quot;.guides-group&quot;),st=t.select(&quot;.tooltips-group&quot;),lt=o.tooltipPanel().config({container:st,fontSize:8})(),ut=o.tooltipPanel().config({container:st,fontSize:8})(),ct=o.tooltipPanel().config({container:st,hasTick:!0})();if(!M){var ft=ot.select(&quot;line&quot;).attr({x1:0,y1:0,y2:0}).style({stroke:&quot;grey&quot;,&quot;pointer-events&quot;:&quot;none&quot;});N.on(&quot;mousemove.angular-guide&quot;,function(t,e){var r=o.util.getMousePos(X).angle;ft.attr({x2:-b,transform:&quot;rotate(&quot;+r+&quot;)&quot;}).style({opacity:.5});var n=(r+180+360-h.orientation)%360;it=s.invert(n);var i=o.util.convertToCartesian(b+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.angular-guide&quot;,function(t,e){ot.select(&quot;line&quot;).style({opacity:0})})}var ht=ot.select(&quot;circle&quot;).style({stroke:&quot;grey&quot;,fill:&quot;none&quot;});N.on(&quot;mousemove.radial-guide&quot;,function(t,e){var n=o.util.getMousePos(X).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(X).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ut.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])}).on(&quot;mouseout.radial-guide&quot;,function(t,e){ht.style({opacity:0}),ct.hide(),lt.hide(),ut.hide()}),t.selectAll(&quot;.geometry-group .mark&quot;).on(&quot;mouseover.tooltip&quot;,function(e,r){var i=n.select(this),a=this.style.fill,s=&quot;black&quot;,l=this.style.opacity||1;if(i.attr({&quot;data-opacity&quot;:l}),a&amp;&amp;&quot;none&quot;!==a){i.attr({&quot;data-fill&quot;:a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var u={t:o.util.round(e[0]),r:o.util.round(e[1])};M&amp;&amp;(u.t=w[e[0]]);var c=&quot;t: &quot;+u.t+&quot;, r: &quot;+u.r,f=this.getBoundingClientRect(),h=t.node().getBoundingClientRect(),d=[f.left+f.width/2-U[0]-h.left,f.top+f.height/2-U[1]-h.top];ct.config({color:s}).text(c),ct.move(d)}else 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n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- &gt;=0&amp;&amp;t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],i=e[1],a={};return a.x=r,a.y=i,a.pos=e,a.angle=180*(Math.atan2(i,r)+Math.PI)/Math.PI,a.radius=Math.sqrt(r*r+i*i),a},o.util.duplicatesCount=function(t){for(var e,r={},n={},i=0,a=t.length;i&lt;a;i++)(e=t[i])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var i=r.slice();r=e,e=i}var a=e.reduce(function(t,e){if(&quot;undefined&quot;!=typeof t)return t[e]},t);&quot;undefined&quot;!=typeof a&amp;&amp;(e.reduce(function(t,r,n){if(&quot;undefined&quot;!=typeof t)return n===e.length-1&amp;&amp;delete t[r],t[r]},t),r.reduce(function(t,e,n){return&quot;undefined&quot;==typeof t[e]&amp;&amp;(t[e]={}),n===r.length-1&amp;&amp;(t[e]=a),t[e]},t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch(&quot;hover&quot;),r={solid:&quot;none&quot;,dash:[5,2],dot:[2,5]};function a(){var e=t[0].geometryConfig,i=e.container;&quot;string&quot;==typeof i&amp;&amp;(i=n.select(i)),i.datum(t).each(function(t,i){var a=!!t[0].data.yStack,o=t.map(function(t,e){return a?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])}),s=e.angularScale,l=e.radialScale.domain()[0],u={bar:function(r,i,a){var o=t[a].data,l=e.radialScale(r[1])-e.radialScale(0),u=e.radialScale(r[2]||0),c=o.barWidth;n.select(this).attr({class:&quot;mark 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s=r[2]?o[a].map(function(t,e){return[t[0],t[1]+t[2]]}):o[a];if(n.select(this).each(u.dot).style({opacity:function(e,r){return+t[a].data.dotVisible},fill:p.stroke(r,i,a)}).attr({class:&quot;mark dot&quot;}),!(i&gt;0)){var l=n.select(this.parentNode).selectAll(&quot;path.line&quot;).data([0]);l.enter().insert(&quot;path&quot;),l.attr({class:&quot;line&quot;,d:c(s),transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+90)+&quot;)&quot;},&quot;pointer-events&quot;:&quot;none&quot;}).style({fill:function(t,e){return p.fill(r,i,a)},&quot;fill-opacity&quot;:0,stroke:function(t,e){return p.stroke(r,i,a)},&quot;stroke-width&quot;:function(t,e){return p[&quot;stroke-width&quot;](r,i,a)},&quot;stroke-dasharray&quot;:function(t,e){return p[&quot;stroke-dasharray&quot;](r,i,a)},opacity:function(t,e){return p.opacity(r,i,a)},display:function(t,e){return p.display(r,i,a)}})}};var f=e.angularScale.range(),h=Math.abs(f[1]-f[0])/o[0].length*Math.PI/180,d=n.svg.arc().startAngle(function(t){return-h/2}).endAngle(function(t){return h/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});u.arc=function(t,r,i){n.select(this).attr({class:&quot;mark arc&quot;,d:d,transform:function(t,r){return&quot;rotate(&quot;+(e.orientation+s(t[0])+90)+&quot;)&quot;}})};var p={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},&quot;stroke-width&quot;:function(e,r,n){return t[n].data.strokeSize+&quot;px&quot;},&quot;stroke-dasharray&quot;:function(e,n,i){return r[t[i].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return&quot;undefined&quot;==typeof 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arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),i(t[r],o.PolyChart.defaultConfig()),i(t[r],e)}),this):t},a.getColorScale=function(){},n.rebind(a,e,&quot;on&quot;),a},o.PolyChart.defaultConfig=function(){return{data:{name:&quot;geom1&quot;,t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:&quot;circle&quot;,dotSize:64,dotVisible:!1,barWidth:20,color:&quot;#ffa500&quot;,strokeSize:1,strokeColor:&quot;silver&quot;,strokeDash:&quot;solid&quot;,opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:&quot;LinePlot&quot;,geometryType:&quot;arc&quot;,direction:&quot;clockwise&quot;,orientation:0,container:&quot;body&quot;,radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:&quot;bar&quot;}}},o.AreaChart=function(){return 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a=3*(i=u),&quot;line&quot;===(r=o)?&quot;M&quot;+[[-i/2,-i/12],[i/2,-i/12],[i/2,i/12],[-i/2,i/12]]+&quot;Z&quot;:-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(a)():n.svg.symbol().type(&quot;square&quot;).size(a)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var b=n.svg.axis().scale(v).orient(&quot;right&quot;),x=h.select(&quot;g.legend-axis&quot;).attr({transform:&quot;translate(&quot;+[c?e.colorBandWidth:u,u/2]+&quot;)&quot;}).call(b);return x.selectAll(&quot;.domain&quot;).style({fill:&quot;none&quot;,stroke:&quot;none&quot;}),x.selectAll(&quot;line&quot;).style({fill:&quot;none&quot;,stroke:c?e.textColor:&quot;none&quot;}),x.selectAll(&quot;text&quot;).style({fill:e.textColor,&quot;font-size&quot;:e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(i(t,e),this):t},n.rebind(r,e,&quot;on&quot;),r},o.Legend.defaultConfig=function(t,e){return{data:[&quot;a&quot;,&quot;b&quot;,&quot;c&quot;],legendConfig:{elements:[{symbol:&quot;line&quot;,color:&quot;red&quot;},{symbol:&quot;square&quot;,color:&quot;yellow&quot;},{symbol:&quot;diamond&quot;,color:&quot;limegreen&quot;}],height:150,colorBandWidth:30,fontSize:12,container:&quot;body&quot;,isContinuous:null,textColor:&quot;grey&quot;,reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,a={container:null,hasTick:!1,fontSize:12,color:&quot;white&quot;,padding:5},s=&quot;tooltip-&quot;+o.tooltipPanel.uid++,l=10,u=function(){var n=(t=a.container.selectAll(&quot;g.&quot;+s).data([0])).enter().append(&quot;g&quot;).classed(s,!0).style({&quot;pointer-events&quot;:&quot;none&quot;,display:&quot;none&quot;});return r=n.append(&quot;path&quot;).style({fill:&quot;white&quot;,&quot;fill-opacity&quot;:.9}).attr({d:&quot;M0 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t.style({display:&quot;block&quot;}),u},u.config=function(t){return i(a,t),u},u},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&amp;&amp;(r.data=t.data.map(function(t,r){var n=i({},t);return[[n,[&quot;marker&quot;,&quot;color&quot;],[&quot;color&quot;]],[n,[&quot;marker&quot;,&quot;opacity&quot;],[&quot;opacity&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;color&quot;],[&quot;strokeColor&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;dash&quot;],[&quot;strokeDash&quot;]],[n,[&quot;marker&quot;,&quot;line&quot;,&quot;width&quot;],[&quot;strokeSize&quot;]],[n,[&quot;marker&quot;,&quot;symbol&quot;],[&quot;dotType&quot;]],[n,[&quot;marker&quot;,&quot;size&quot;],[&quot;dotSize&quot;]],[n,[&quot;marker&quot;,&quot;barWidth&quot;],[&quot;barWidth&quot;]],[n,[&quot;line&quot;,&quot;interpolation&quot;],[&quot;lineInterpolation&quot;]],[n,[&quot;showlegend&quot;],[&quot;visibleInLegend&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&amp;&amp;delete n.groupId,e?(&quot;LinePlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,!0===n.dotVisible?(delete n.dotVisible,n.mode=&quot;lines+markers&quot;):n.mode=&quot;lines&quot;):&quot;DotPlot&quot;===n.geometry?(n.type=&quot;scatter&quot;,n.mode=&quot;markers&quot;):&quot;AreaChart&quot;===n.geometry?n.type=&quot;area&quot;:&quot;BarChart&quot;===n.geometry&amp;&amp;(n.type=&quot;bar&quot;),delete n.geometry):(&quot;scatter&quot;===n.type?&quot;lines&quot;===n.mode?n.geometry=&quot;LinePlot&quot;:&quot;markers&quot;===n.mode?n.geometry=&quot;DotPlot&quot;:&quot;lines+markers&quot;===n.mode&amp;&amp;(n.geometry=&quot;LinePlot&quot;,n.dotVisible=!0):&quot;area&quot;===n.type?n.geometry=&quot;AreaChart&quot;:&quot;bar&quot;===n.type&amp;&amp;(n.geometry=&quot;BarChart&quot;),delete n.mode,delete n.type),n}),!e&amp;&amp;t.layout&amp;&amp;&quot;stack&quot;===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&amp;&amp;(r.data[e].groupId=n)})}if(t.layout){var s=i({},t.layout);if([[s,[&quot;plot_bgcolor&quot;],[&quot;backgroundColor&quot;]],[s,[&quot;showlegend&quot;],[&quot;showLegend&quot;]],[s,[&quot;radialaxis&quot;],[&quot;radialAxis&quot;]],[s,[&quot;angularaxis&quot;],[&quot;angularAxis&quot;]],[s.angularaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularaxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularaxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularaxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialaxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialaxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialaxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialaxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.angularAxis,[&quot;showticklabels&quot;],[&quot;labelsVisible&quot;]],[s.angularAxis,[&quot;nticks&quot;],[&quot;ticksCount&quot;]],[s.angularAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.angularAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.angularAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.angularAxis,[&quot;endpadding&quot;],[&quot;endPadding&quot;]],[s.radialAxis,[&quot;showline&quot;],[&quot;gridLinesVisible&quot;]],[s.radialAxis,[&quot;tickorientation&quot;],[&quot;tickOrientation&quot;]],[s.radialAxis,[&quot;ticksuffix&quot;],[&quot;ticksSuffix&quot;]],[s.radialAxis,[&quot;range&quot;],[&quot;domain&quot;]],[s.font,[&quot;outlinecolor&quot;],[&quot;outlineColor&quot;]],[s.legend,[&quot;traceorder&quot;],[&quot;reverseOrder&quot;]],[s,[&quot;labeloffset&quot;],[&quot;labelOffset&quot;]],[s,[&quot;defaultcolorrange&quot;],[&quot;defaultColorRange&quot;]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(&quot;undefined&quot;!=typeof s.tickLength&amp;&amp;(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&amp;&amp;(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.ticklen&amp;&amp;(s.tickLength=s.angularAxis.ticklen),s.angularAxis&amp;&amp;&quot;undefined&quot;!=typeof s.angularAxis.tickcolor&amp;&amp;(s.tickColor=s.angularAxis.tickcolor)),s.legend&amp;&amp;&quot;boolean&quot;!=typeof s.legend.reverseOrder&amp;&amp;(s.legend.reverseOrder=&quot;normal&quot;!=s.legend.reverseOrder),s.legend&amp;&amp;&quot;boolean&quot;==typeof s.legend.traceorder&amp;&amp;(s.legend.traceorder=s.legend.traceorder?&quot;reversed&quot;:&quot;normal&quot;,delete s.legend.reverseOrder),s.margin&amp;&amp;&quot;undefined&quot;!=typeof s.margin.t){var l=[&quot;t&quot;,&quot;r&quot;,&quot;b&quot;,&quot;l&quot;,&quot;pad&quot;],u=[&quot;top&quot;,&quot;right&quot;,&quot;bottom&quot;,&quot;left&quot;,&quot;pad&quot;],c={};n.entries(s.margin).forEach(function(t,e){c[u[l.indexOf(t.key)]]=t.value}),s.margin=c}e&amp;&amp;(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{&quot;../../../constants/alignment&quot;:471,&quot;../../../lib&quot;:495,d3:81}],589:[function(t,e,r){&quot;use strict&quot;;var 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c=r[u],f=i[u],h=a[u],d=Math.sqrt(c*c+f*f+h*h);s=Math.max(s,d),l=Math.min(l,d)}e._len=o,e._normMax=s,n(t,e,{vals:[l,s],containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],603:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-cone3d&quot;),i=t(&quot;gl-cone3d&quot;).createConeMesh,a=t(&quot;../../lib&quot;).simpleMap,o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;);function l(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=l.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&amp;&amp;void 0!==l[e]?t.textLabel=l[e]:l&amp;&amp;(t.textLabel=l),!0}};var c={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},h={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,l={};function u(t,e){var n=r[e],o=i[c[e]];return a(t,function(t){return n.d2l(t)*o})}l.vectors=s(u(e.u,&quot;xaxis&quot;),u(e.v,&quot;yaxis&quot;),u(e.w,&quot;zaxis&quot;),e._len),l.positions=s(u(e.x,&quot;xaxis&quot;),u(e.y,&quot;yaxis&quot;),u(e.z,&quot;zaxis&quot;),e._len),l.colormap=o(e),l.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax],l.coneOffset=f[e.anchor],&quot;scaled&quot;===e.sizemode?l.coneSize=e.sizeref||.5:l.coneSize=e.sizeref&amp;&amp;e._normMax?e.sizeref/e._normMax:.5;var d=n(l),p=e.lightposition;return d.lightPosition=[p.x,p.y,p.z],d.ambient=e.lighting.ambient,d.diffuse=e.lighting.diffuse,d.specular=e.lighting.specular,d.roughness=e.lighting.roughness,d.fresnel=e.lighting.fresnel,d.opacity=e.opacity,e._pad=h[e.anchor]*d.vectorScale*d.coneScale*e._normMax,d}u.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new l(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-cone3d&quot;:104}],604:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var 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n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../surface/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat;e.exports=l({x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},i:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},j:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},k:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;}),delaunayaxis:{valType:&quot;enumerated&quot;,values:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],dflt:&quot;z&quot;,editType:&quot;calc&quot;},alphahull:{valType:&quot;number&quot;,dflt:-1,editType:&quot;calc&quot;},intensity:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,editType:&quot;calc&quot;},vertexcolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},facecolor:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},transforms:void 0},n(&quot;&quot;,{colorAttr:&quot;`intensity`&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i,opacity:o.opacity,flatshading:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},contour:{show:l({},o.contours.x.show,{}),color:o.contours.x.color,width:o.contours.x.width,editType:&quot;calc&quot;},lightposition:{x:l({},o.lightposition.x,{dflt:1e5}),y:l({},o.lightposition.y,{dflt:1e5}),z:l({},o.lightposition.z,{dflt:0}),editType:&quot;calc&quot;},lighting:l({vertexnormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-12,editType:&quot;calc&quot;},facenormalsepsilon:{valType:&quot;number&quot;,min:0,max:1,dflt:1e-6,editType:&quot;calc&quot;},editType:&quot;calc&quot;},o.lighting),hoverinfo:l({},s.hoverinfo,{editType:&quot;calc&quot;})})},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../surface/attributes&quot;:654}],609:[function(t,e,r){&quot;use 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r=t.length,n=0;n&lt;r;n++)if(t[n]&lt;=-.5||t[n]&gt;=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&amp;&amp;void 0!==r[e]?t.textLabel=r[e]:r&amp;&amp;(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,c=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&amp;&amp;t.j&amp;&amp;t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,c)||!g(t.j,c)||!g(t.k,c))return;n=u(p(t.i),p(t.j),p(t.k))}else n=0===t.alphahull?o(f):t.alphahull&gt;0?a(t.alphahull,f):function(t,e){for(var r=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;].indexOf(t),n=[],a=e.length,o=0;o&lt;a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};t.intensity?(this.color=&quot;#fff&quot;,v.vertexIntensity=t.intensity,v.vertexIntensityBounds=[t.cmin,t.cmax],v.colormap=s(t)):t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=h(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=h(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color)),this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new c(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../../plots/gl3d/zip3&quot;:581,&quot;alpha-shape&quot;:15,&quot;convex-hull&quot;:72,&quot;delaunay-triangulate&quot;:83,&quot;gl-mesh3d&quot;:139}],611:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function u(t){var e=t.map(function(t){var e=l(t);return e&amp;&amp;i.isArrayOrTypedArray(e)?e:null});return e.every(function(t){return 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n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.calc=t(&quot;./calc&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;mesh3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:608,&quot;./calc&quot;:609,&quot;./convert&quot;:610,&quot;./defaults&quot;:611}],613:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)+&quot;%&quot;},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(&quot;.&quot;)&amp;&amp;(r=r.replace(/[.]?0+$/,&quot;&quot;)),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r&lt;e.length;r++){var n=t[e[r]];if(n||0===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{&quot;../../lib&quot;:495}],614:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./helpers&quot;).castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style({&quot;stroke-width&quot;:s}).call(n.fill,e.color).call(n.stroke,o)}},{&quot;../../components/color&quot;:376,&quot;./helpers&quot;:613}],615:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){for(var r=0;r&lt;t.length;r++)t[r].i=r;n.mergeArray(e.text,t,&quot;tx&quot;),n.mergeArray(e.hovertext,t,&quot;htx&quot;),n.mergeArray(e.customdata,t,&quot;data&quot;),n.mergeArray(e.textposition,t,&quot;tp&quot;),e.textfont&amp;&amp;(n.mergeArray(e.textfont.size,t,&quot;ts&quot;),n.mergeArray(e.textfont.color,t,&quot;tc&quot;),n.mergeArray(e.textfont.family,t,&quot;tf&quot;));var i=e.marker;if(i){n.mergeArray(i.size,t,&quot;ms&quot;),n.mergeArray(i.opacity,t,&quot;mo&quot;),n.mergeArray(i.symbol,t,&quot;mx&quot;),n.mergeArray(i.color,t,&quot;mc&quot;);var a=i.line;i.line&amp;&amp;(n.mergeArray(a.color,t,&quot;mlc&quot;),n.mergeArray(a.width,t,&quot;mlw&quot;));var o=i.gradient;o&amp;&amp;&quot;none&quot;!==o.type&amp;&amp;(n.mergeArray(o.type,t,&quot;mgt&quot;),n.mergeArray(o.color,t,&quot;mgc&quot;))}}},{&quot;../../lib&quot;:495}],616:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/fx/hovertemplate_attributes&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../plots/font_attributes&quot;),s=t(&quot;../../components/drawing/attributes&quot;).dash,l=t(&quot;../../components/drawing&quot;),u=t(&quot;./constants&quot;),c=t(&quot;../../lib/extend&quot;).extendFlat;e.exports={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},x0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dx:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},y0:{valType:&quot;any&quot;,dflt:0,editType:&quot;calc+clearAxisTypes&quot;,anim:!0},dy:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;,anim:!0},stackgroup:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},orientation:{valType:&quot;enumerated&quot;,values:[&quot;v&quot;,&quot;h&quot;],editType:&quot;calc&quot;},groupnorm:{valType:&quot;enumerated&quot;,values:[&quot;&quot;,&quot;fraction&quot;,&quot;percent&quot;],dflt:&quot;&quot;,editType:&quot;calc&quot;},stackgaps:{valType:&quot;enumerated&quot;,values:[&quot;infer 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zero&quot;,editType:&quot;calc&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0,editType:&quot;style&quot;},mode:{valType:&quot;flaglist&quot;,flags:[&quot;lines&quot;,&quot;markers&quot;,&quot;text&quot;],extras:[&quot;none&quot;],editType:&quot;calc&quot;},hoveron:{valType:&quot;flaglist&quot;,flags:[&quot;points&quot;,&quot;fills&quot;],editType:&quot;style&quot;},hovertemplate:n({},{keys:u.eventDataKeys}),line:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},width:{valType:&quot;number&quot;,min:0,dflt:2,editType:&quot;style&quot;,anim:!0},shape:{valType:&quot;enumerated&quot;,values:[&quot;linear&quot;,&quot;spline&quot;,&quot;hv&quot;,&quot;vh&quot;,&quot;hvh&quot;,&quot;vhv&quot;],dflt:&quot;linear&quot;,editType:&quot;plot&quot;},smoothing:{valType:&quot;number&quot;,min:0,max:1.3,dflt:1,editType:&quot;plot&quot;},dash:c({},s,{editType:&quot;style&quot;}),simplify:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},editType:&quot;plot&quot;},connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},cliponaxis:{valType:&quot;boolean&quot;,dflt:!0,editType:&quot;plot&quot;},fill:{valType:&quot;enumerated&quot;,values:[&quot;none&quot;,&quot;tozeroy&quot;,&quot;tozerox&quot;,&quot;tonexty&quot;,&quot;tonextx&quot;,&quot;toself&quot;,&quot;tonext&quot;],editType:&quot;calc&quot;},fillcolor:{valType:&quot;color&quot;,editType:&quot;style&quot;,anim:!0},marker:c({symbol:{valType:&quot;enumerated&quot;,values:l.symbolList,dflt:&quot;circle&quot;,arrayOk:!0,editType:&quot;style&quot;},opacity:{valType:&quot;number&quot;,min:0,max:1,arrayOk:!0,editType:&quot;style&quot;,anim:!0},size:{valType:&quot;number&quot;,min:0,dflt:6,arrayOk:!0,editType:&quot;calc&quot;,anim:!0},maxdisplayed:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;plot&quot;},sizeref:{valType:&quot;number&quot;,dflt:1,editType:&quot;calc&quot;},sizemin:{valType:&quot;number&quot;,min:0,dflt:0,editType:&quot;calc&quot;},sizemode:{valType:&quot;enumerated&quot;,values:[&quot;diameter&quot;,&quot;area&quot;],dflt:&quot;diameter&quot;,editType:&quot;calc&quot;},colorbar:a,line:c({width:{valType:&quot;number&quot;,min:0,arrayOk:!0,editType:&quot;style&quot;,anim:!0},editType:&quot;calc&quot;},i(&quot;marker.line&quot;,{anim:!0})),gradient:{type:{valType:&quot;enumerated&quot;,values:[&quot;radial&quot;,&quot;horizontal&quot;,&quot;vertical&quot;,&quot;none&quot;],arrayOk:!0,dflt:&quot;none&quot;,editType:&quot;calc&quot;},color:{valType:&quot;color&quot;,arrayOk:!0,editType:&quot;calc&quot;},editType:&quot;calc&quot;},editType:&quot;calc&quot;},i(&quot;marker&quot;,{anim:!0})),selected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},unselected:{marker:{opacity:{valType:&quot;number&quot;,min:0,max:1,editType:&quot;style&quot;},color:{valType:&quot;color&quot;,editType:&quot;style&quot;},size:{valType:&quot;number&quot;,min:0,editType:&quot;style&quot;},editType:&quot;style&quot;},textfont:{color:{valType:&quot;color&quot;,editType:&quot;style&quot;},editType:&quot;style&quot;},editType:&quot;style&quot;},textposition:{valType:&quot;enumerated&quot;,values:[&quot;top left&quot;,&quot;top center&quot;,&quot;top right&quot;,&quot;middle left&quot;,&quot;middle center&quot;,&quot;middle right&quot;,&quot;bottom left&quot;,&quot;bottom center&quot;,&quot;bottom right&quot;],dflt:&quot;middle center&quot;,arrayOk:!0,editType:&quot;calc&quot;},textfont:o({editType:&quot;calc&quot;,colorEditType:&quot;style&quot;,arrayOk:!0}),r:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},t:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;}}},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/drawing&quot;:397,&quot;../../components/drawing/attributes&quot;:396,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/font_attributes&quot;:567,&quot;./constants&quot;:620}],617:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;fast-isnumeric&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../plots/cartesian/axes&quot;),o=t(&quot;../../constants/numerical&quot;).BADNUM,s=t(&quot;./subtypes&quot;),l=t(&quot;./colorscale_calc&quot;),u=t(&quot;./arrays_to_calcdata&quot;),c=t(&quot;./calc_selection&quot;);function f(t,e,r,n,i,o,l){var u=e._length,c=t._fullLayout,f=r._id,h=n._id,d=c._firstScatter[p(e)]===e.uid,v=(g(e,c,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},b={padded:!0};l&amp;&amp;(y.ppad=b.ppad=l);var x=u&lt;2||i[0]!==i[u-1]||o[0]!==o[u-1];x&amp;&amp;(&quot;tozerox&quot;===m||&quot;tonextx&quot;===m&amp;&amp;(d||&quot;h&quot;===v))?y.tozero=!0:(e.error_y||{}).visible||&quot;tonexty&quot;!==m&amp;&amp;&quot;tozeroy&quot;!==m&amp;&amp;(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),x&amp;&amp;(&quot;tozeroy&quot;===m||&quot;tonexty&quot;===m&amp;&amp;(d||&quot;v&quot;===v))?b.tozero=!0:&quot;tonextx&quot;!==m&amp;&amp;&quot;tozerox&quot;!==m||(b.padded=!1),f&amp;&amp;(e._extremes[f]=a.findExtremes(r,i,y)),h&amp;&amp;(e._extremes[h]=a.findExtremes(n,o,b))}function h(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=&quot;area&quot;===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var l={type:&quot;linear&quot;};a.setConvert(l);for(var u=l.makeCalcdata(t.marker,&quot;size&quot;),c=new Array(e),f=0;f&lt;e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function 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R=T[s]={},P=n(w[s]),z=n(A[s]);P&amp;&amp;z?(R[C]=w[s],R[O]=A[s]):E&amp;&amp;(r?P:z)?(R[S]=r?w[s]:A[s],R.gap=!0,m?(R.s=o,L=!0):R.s=0):R[C]=R[O]=o,k&amp;&amp;(R.id=String(k[s]))}if(u(T,e),l(t,e),c(T,e),E){for(s=0;s&lt;T.length;)T[s][S]===o?T.splice(s,1):s++;if(i.sort(T,function(t,e){return t[S]-e[S]||t.i-e.i}),L){for(s=0;s&lt;T.length-1&amp;&amp;T[s].gap;)s++;for((y=T[s].s)||(y=T[s].s=0),p=0;p&lt;s;p++)T[p].s=y;for(v=T.length-1;v&gt;s&amp;&amp;T[v].gap;)v--;for(y=T[v].s,p=T.length-1;p&gt;v;p--)T[p].s=y;for(;s&lt;v;)if(T[++s].gap){for(p=s+1;T[p].gap;)p++;for(var I=T[s-1][S],N=T[s-1].s,D=(T[p].s-N)/(T[p][S]-I);s&lt;p;)T[s].s=N+(T[s][S]-I)*D,s++}}}return T},calcMarkerSize:h,calcAxisExpansion:f,setFirstScatter:d,getStackOpts:g}},{&quot;../../constants/numerical&quot;:475,&quot;../../lib&quot;:495,&quot;../../plots/cartesian/axes&quot;:541,&quot;./arrays_to_calcdata&quot;:615,&quot;./calc_selection&quot;:618,&quot;./colorscale_calc&quot;:619,&quot;./subtypes&quot;:640,&quot;fast-isnumeric&quot;:90}],618:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;);e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&amp;&amp;n.tagSelected(t,e)}},{&quot;../../lib&quot;:495}],619:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,i=t(&quot;../../components/colorscale/calc&quot;),a=t(&quot;./subtypes&quot;);e.exports=function(t,e){a.hasLines(e)&amp;&amp;n(e,&quot;line&quot;)&amp;&amp;i(t,e,{vals:e.line.color,containerStr:&quot;line&quot;,cLetter:&quot;c&quot;}),a.hasMarkers(e)&amp;&amp;(n(e,&quot;marker&quot;)&amp;&amp;i(t,e,{vals:e.marker.color,containerStr:&quot;marker&quot;,cLetter:&quot;c&quot;}),n(e,&quot;marker.line&quot;)&amp;&amp;i(t,e,{vals:e.marker.line.color,containerStr:&quot;marker.line&quot;,cLetter:&quot;c&quot;}))}},{&quot;../../components/colorscale/calc&quot;:384,&quot;../../components/colorscale/helpers&quot;:387,&quot;./subtypes&quot;:640}],620:[function(t,e,r){&quot;use strict&quot;;e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],621:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;./calc&quot;);function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&amp;&amp;r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&amp;&amp;(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete t[1].trace)}e.exports=function(t,e){var r=e.xaxis,a=e.yaxis,o=r._id+a._id,s=t._fullLayout._scatterStackOpts[o];if(s){var l,u,c,f,h,d,p,g,v,m,y,b,x,_,w,A=t.calcdata;for(var M in s){var T=(m=s[M]).traceIndices;if(T.length){for(y=&quot;interpolate&quot;===m.stackgaps,b=m.groupnorm,&quot;v&quot;===m.orientation?(x=&quot;x&quot;,_=&quot;y&quot;):(x=&quot;y&quot;,_=&quot;x&quot;),w=new Array(T.length),l=0;l&lt;w.length;l++)w[l]=!1;d=A[T[0]];var k=new 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Array(E);for(u=0;u&lt;E;u++)P[u]=h[u].x,z[u]=h[u].y;n.calcAxisExpansion(t,S,r,a,P,z,C),h[0].t.orientation=m.orientation}}}}}},{&quot;./calc&quot;:617}],622:[function(t,e,r){&quot;use strict&quot;;e.exports=function(t){for(var e=0;e&lt;t.length;e++){var r=t[e];if(&quot;scatter&quot;===r.type){var n=r.fill;if(&quot;none&quot;!==n&amp;&amp;&quot;toself&quot;!==n&amp;&amp;(r.opacity=void 0,&quot;tonexty&quot;===n||&quot;tonextx&quot;===n))for(var i=e-1;i&gt;=0;i--){var a=t[i];if(&quot;scatter&quot;===a.type&amp;&amp;a.xaxis===r.xaxis&amp;&amp;a.yaxis===r.yaxis){a.opacity=void 0;break}}}}}},{}],623:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../registry&quot;),a=t(&quot;./attributes&quot;),o=t(&quot;./constants&quot;),s=t(&quot;./subtypes&quot;),l=t(&quot;./xy_defaults&quot;),u=t(&quot;./stack_defaults&quot;),c=t(&quot;./marker_defaults&quot;),f=t(&quot;./line_defaults&quot;),h=t(&quot;./line_shape_defaults&quot;),d=t(&quot;./text_defaults&quot;),p=t(&quot;./fillcolor_defaults&quot;);e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,g,v);if(m||(e.visible=!1),e.visible){var y=u(t,e,g,v),b=!y&amp;&amp;m&lt;o.PTS_LINESONLY?&quot;lines+markers&quot;:&quot;lines&quot;;v(&quot;text&quot;),v(&quot;hovertext&quot;),v(&quot;mode&quot;,b),s.hasLines(e)&amp;&amp;(f(t,e,r,g,v),h(t,e,v),v(&quot;connectgaps&quot;),v(&quot;line.simplify&quot;)),s.hasMarkers(e)&amp;&amp;c(t,e,r,g,v,{gradient:!0}),s.hasText(e)&amp;&amp;d(t,e,g,v);var x=[];(s.hasMarkers(e)||s.hasText(e))&amp;&amp;(v(&quot;cliponaxis&quot;),v(&quot;marker.maxdisplayed&quot;),x.push(&quot;points&quot;)),v(&quot;fill&quot;,y?y.fillDflt:&quot;none&quot;),&quot;none&quot;!==e.fill&amp;&amp;(p(t,e,r,v),s.hasLines(e)||h(t,e,v));var _=(e.line||{}).color,w=(e.marker||{}).color;&quot;tonext&quot;!==e.fill&amp;&amp;&quot;toself&quot;!==e.fill||x.push(&quot;fills&quot;),v(&quot;hoveron&quot;,x.join(&quot;+&quot;)||&quot;points&quot;),&quot;fills&quot;!==e.hoveron&amp;&amp;v(&quot;hovertemplate&quot;);var 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0}},{&quot;../../lib&quot;:495}],625:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../lib&quot;).isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&amp;&amp;!i(s)?o=s:l&amp;&amp;!i(l)&amp;&amp;(o=l)}a(&quot;fillcolor&quot;,n.addOpacity((e.line||{}).color||o||r,.5))}},{&quot;../../components/color&quot;:376,&quot;../../lib&quot;:495}],626:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;./subtypes&quot;);e.exports=function(t,e){var r,a;if(&quot;lines&quot;===t.mode)return(r=t.line.color)&amp;&amp;n.opacity(r)?r:t.fillcolor;if(&quot;none&quot;===t.mode)return t.fill?t.fillcolor:&quot;&quot;;var 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n={},i=t(&quot;./subtypes&quot;);n.hasLines=i.hasLines,n.hasMarkers=i.hasMarkers,n.hasText=i.hasText,n.isBubble=i.isBubble,n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.crossTraceDefaults=t(&quot;./cross_trace_defaults&quot;),n.calc=t(&quot;./calc&quot;).calc,n.crossTraceCalc=t(&quot;./cross_trace_calc&quot;),n.arraysToCalcdata=t(&quot;./arrays_to_calcdata&quot;),n.plot=t(&quot;./plot&quot;),n.colorbar=t(&quot;./marker_colorbar&quot;),n.style=t(&quot;./style&quot;).style,n.styleOnSelect=t(&quot;./style&quot;).styleOnSelect,n.hoverPoints=t(&quot;./hover&quot;),n.selectPoints=t(&quot;./select&quot;),n.animatable=!0,n.moduleType=&quot;trace&quot;,n.name=&quot;scatter&quot;,n.basePlotModule=t(&quot;../../plots/cartesian&quot;),n.categories=[&quot;cartesian&quot;,&quot;svg&quot;,&quot;symbols&quot;,&quot;errorBarsOK&quot;,&quot;showLegend&quot;,&quot;scatter-like&quot;,&quot;zoomScale&quot;],n.meta={},e.exports=n},{&quot;../../plots/cartesian&quot;:552,&quot;./arrays_to_calcdata&quot;:615,&quot;./attributes&quot;:616,&quot;./calc&quot;:617,&quot;./cross_trace_calc&quot;:621,&quot;./cross_trace_defaults&quot;:622,&quot;./defaults&quot;:623,&quot;./hover&quot;:627,&quot;./marker_colorbar&quot;:634,&quot;./plot&quot;:636,&quot;./select&quot;:637,&quot;./style&quot;:639,&quot;./subtypes&quot;:640}],629:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;).isArrayOrTypedArray,i=t(&quot;../../components/colorscale/helpers&quot;).hasColorscale,a=t(&quot;../../components/colorscale/defaults&quot;);e.exports=function(t,e,r,o,s,l){var u=(t.marker||{}).color;(s(&quot;line.color&quot;,r),i(t,&quot;line&quot;))?a(t,e,o,s,{prefix:&quot;line.&quot;,cLetter:&quot;c&quot;}):s(&quot;line.color&quot;,!n(u)&amp;&amp;u||r);s(&quot;line.width&quot;),(l||{}).noDash||s(&quot;line.dash&quot;)}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../components/colorscale/helpers&quot;:387,&quot;../../lib&quot;:495}],630:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../constants/numerical&quot;),i=n.BADNUM,a=n.LOG_CLIP,o=a+.5,s=a-.5,l=t(&quot;../../lib&quot;),u=l.segmentsIntersect,c=l.constrain,f=t(&quot;./constants&quot;);e.exports=function(t,e){var 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g=e.exports=c({x:n.x,y:n.y,z:{valType:&quot;data_array&quot;},text:u({},n.text,{}),hovertext:u({},n.hovertext,{}),hovertemplate:a(),mode:u({},n.mode,{dflt:&quot;lines+markers&quot;}),surfaceaxis:{valType:&quot;enumerated&quot;,values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:&quot;color&quot;},projection:{x:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},y:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}},z:{show:{valType:&quot;boolean&quot;,dflt:!1},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},scale:{valType:&quot;number&quot;,min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:p,marker:u({symbol:{valType:&quot;enumerated&quot;,values:Object.keys(l),dflt:&quot;circle&quot;,arrayOk:!0},size:u({},h.size,{dflt:8}),sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:u({},h.opacity,{arrayOk:!1}),colorbar:h.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},i(&quot;marker.line&quot;))},i(&quot;marker&quot;)),textposition:u({},n.textposition,{dflt:&quot;top center&quot;}),textfont:{color:n.textfont.color,size:n.textfont.size,family:u({},n.textfont.family,{arrayOk:!1})},hoverinfo:u({},o.hoverinfo)},&quot;calc&quot;,&quot;nested&quot;);g.x.editType=g.y.editType=g.z.editType=&quot;calc+clearAxisTypes&quot;},{&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538,&quot;../scatter/attributes&quot;:616}],644:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../scatter/arrays_to_calcdata&quot;),i=t(&quot;../scatter/colorscale_calc&quot;);e.exports=function(t,e){var r=[{x:!1,y:!1,trace:e,t:{}}];return n(r,e),i(t,e),r}},{&quot;../scatter/arrays_to_calcdata&quot;:615,&quot;../scatter/colorscale_calc&quot;:619}],645:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;);function i(t,e,r,i){if(!e||!e.visible)return null;for(var a=n.getComponentMethod(&quot;errorbars&quot;,&quot;makeComputeError&quot;)(e),o=new Array(t.length),s=0;s&lt;t.length;s++){var l=a(+t[s],s);if(&quot;log&quot;===i.type){var u=i.c2l(t[s]),c=t[s]-l[0],f=t[s]+l[1];if(o[s]=[(i.c2l(c,!0)-u)*r,(i.c2l(f,!0)-u)*r],c&gt;0){var h=i.c2l(c);i._lowerLogErrorBound||(i._lowerLogErrorBound=h),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,h)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e&lt;t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s&lt;a;s++){for(var l=[[0,0,0],[0,0,0]],u=0;u&lt;3;u++)if(n[u])for(var c=0;c&lt;2;c++)l[c][u]=n[u][s][c];o[s]=l}return o}},{&quot;../../registry&quot;:592}],646:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-line3d&quot;),i=t(&quot;gl-scatter3d&quot;),a=t(&quot;gl-error3d&quot;),o=t(&quot;gl-mesh3d&quot;),s=t(&quot;delaunay-triangulate&quot;),l=t(&quot;../../lib&quot;),u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../../lib/gl_format_color&quot;).formatColor,f=t(&quot;../scatter/make_bubble_size_func&quot;),h=t(&quot;../../constants/gl3d_dashes&quot;),d=t(&quot;../../constants/gl3d_markers&quot;),p=t(&quot;./calc_errors&quot;);function g(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode=&quot;&quot;,this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var v=g.prototype;function m(t){return null==t?0:t.indexOf(&quot;left&quot;)&gt;-1?-1:t.indexOf(&quot;right&quot;)&gt;-1?1:0}function y(t){return null==t?0:t.indexOf(&quot;top&quot;)&gt;-1?-1:t.indexOf(&quot;bottom&quot;)&gt;-1?1:0}function b(t,e){return e(4*t)}function x(t){return d[t]}function _(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o&lt;e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return a}function w(t,e){var r,n,i,a,o,s,h=[],d=t.fullSceneLayout,g=t.dataScale,v=d.xaxis,w=d.yaxis,A=d.zaxis,M=e.marker,T=e.line,k=e.x||[],E=e.y||[],L=e.z||[],S=k.length,C=e.xcalendar,O=e.ycalendar,R=e.zcalendar;for(o=0;o&lt;S;o++)r=v.d2l(k[o],0,C)*g[0],n=w.d2l(E[o],0,O)*g[1],i=A.d2l(L[o],0,R)*g[2],h[o]=[r,n,i];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(S),o=0;o&lt;S;o++)s[o]=e.text;if(a={position:h,mode:e.mode,text:s},&quot;line&quot;in e&amp;&amp;(a.lineColor=c(T,1,S),a.lineWidth=T.width,a.lineDashes=T.dash),&quot;marker&quot;in e){var P=f(e);a.scatterColor=c(M,1,S),a.scatterSize=_(M.size,S,b,20,P),a.scatterMarker=_(M.symbol,S,x,&quot;\\u25cf&quot;),a.scatterLineWidth=M.line.width,a.scatterLineColor=c(M.line,1,S),a.scatterAngle=0}&quot;textposition&quot;in e&amp;&amp;(a.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r&lt;t.length;r++)e[r]=[0,0],t[r]&amp;&amp;(e[r][0]=m(t[r]),e[r][1]=y(t[r]));else e[0]=m(t),e[1]=y(t);return e}(e.textposition),a.textColor=c(e.textfont,1,S),a.textSize=_(e.textfont.size,S,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var z=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o&lt;3;++o){var I=e.projection[z[o]];(a.project[o]=I.show)&amp;&amp;(a.projectOpacity[o]=I.opacity,a.projectScale[o]=I.scale)}a.errorBounds=p(e,g,d);var N=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i&lt;3;i++){var a=t[i];a&amp;&amp;!1!==a.copy_zstyle&amp;&amp;!1!==t[2].visible&amp;&amp;(a=t[2]),a&amp;&amp;a.visible&amp;&amp;(e[i]=a.width/2,r[i]=u(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=N.color,a.errorLineWidth=N.lineWidth,a.errorCapSize=N.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=u(e.surfacecolor),a}function A(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&amp;&amp;(t=e),&quot;rgb(&quot;+t.slice(0,3).map(function(t){return Math.round(255*t)})+&quot;)&quot;}return null}v.handlePick=function(t){if(t.object&amp;&amp;(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&amp;&amp;t.object.highlight(null),this.scatterPlot&amp;&amp;(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel=&quot;&quot;,this.textLabels&amp;&amp;(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&amp;&amp;(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},v.update=function(t){var e,r,l,u,c=this.scene.glplot.gl,f=h.solid;this.data=t;var d=w(this.scene,t);&quot;mode&quot;in d&amp;&amp;(this.mode=d.mode),&quot;lineDashes&quot;in d&amp;&amp;d.lineDashes in h&amp;&amp;(f=h[d.lineDashes]),this.color=A(d.scatterColor)||A(d.lineColor),this.dataPoints=d.position,e={gl:this.scene.glplot.gl,position:d.position,color:d.lineColor,lineWidth:d.lineWidth||1,dashes:f[0],dashScale:f[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf(&quot;lines&quot;)?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var p=t.opacity;if(t.marker&amp;&amp;t.marker.opacity&amp;&amp;(p*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:d.position,color:d.scatterColor,size:d.scatterSize,glyph:d.scatterMarker,opacity:p,orthographic:!0,lineWidth:d.scatterLineWidth,lineColor:d.scatterLineColor,project:d.project,projectScale:d.projectScale,projectOpacity:d.projectOpacity},-1!==this.mode.indexOf(&quot;markers&quot;)?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),u={gl:this.scene.glplot.gl,position:d.position,glyph:d.text,color:d.textColor,size:d.textSize,angle:d.textAngle,alignment:d.textOffset,font:d.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(&quot;text&quot;)?this.textMarkers?this.textMarkers.update(u):(this.textMarkers=i(u),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:d.position,color:d.errorColor,error:d.errorBounds,lineWidth:d.errorLineWidth,capSize:d.errorCapSize,opacity:t.opacity},this.errorBars?d.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):d.errorBounds&amp;&amp;(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),d.delaunayAxis&gt;=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n&lt;t.length;++n){var u=t[n];!isNaN(u[i])&amp;&amp;isFinite(u[i])&amp;&amp;!isNaN(u[a])&amp;&amp;isFinite(u[a])&amp;&amp;(o.push([u[i],u[a]]),l.push(n))}var c=s(o);for(n=0;n&lt;c.length;++n)for(var f=c[n],h=0;h&lt;f.length;++h)f[h]=l[f[h]];return{positions:t,cells:c,meshColor:e}}(d.position,d.delaunayColor,d.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=c,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},v.dispose=function(){this.linePlot&amp;&amp;(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&amp;&amp;(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&amp;&amp;(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&amp;&amp;(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&amp;&amp;(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new g(t,e.uid);return r.update(e),r}},{&quot;../../constants/gl3d_dashes&quot;:472,&quot;../../constants/gl3d_markers&quot;:473,&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../scatter/make_bubble_size_func&quot;:633,&quot;./calc_errors&quot;:645,&quot;delaunay-triangulate&quot;:83,&quot;gl-error3d&quot;:109,&quot;gl-line3d&quot;:114,&quot;gl-mesh3d&quot;:139,&quot;gl-scatter3d&quot;:147}],647:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../scatter/subtypes&quot;),o=t(&quot;../scatter/marker_defaults&quot;),s=t(&quot;../scatter/line_defaults&quot;),l=t(&quot;../scatter/text_defaults&quot;),u=t(&quot;./attributes&quot;);e.exports=function(t,e,r,c){function f(r,n){return i.coerce(t,e,u,r,n)}if(function(t,e,r,i){var a=0,o=r(&quot;x&quot;),s=r(&quot;y&quot;),l=r(&quot;z&quot;);n.getComponentMethod(&quot;calendars&quot;,&quot;handleTraceDefaults&quot;)(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],i),o&amp;&amp;s&amp;&amp;l&amp;&amp;(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,f,c)){f(&quot;text&quot;),f(&quot;hovertext&quot;),f(&quot;hovertemplate&quot;),f(&quot;mode&quot;),a.hasLines(e)&amp;&amp;(f(&quot;connectgaps&quot;),s(t,e,r,c,f)),a.hasMarkers(e)&amp;&amp;o(t,e,r,c,f,{noSelect:!0}),a.hasText(e)&amp;&amp;l(t,e,c,f,{noSelect:!0});var h=(e.line||{}).color,d=(e.marker||{}).color;f(&quot;surfaceaxis&quot;)&gt;=0&amp;&amp;f(&quot;surfacecolor&quot;,h||d);for(var p=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],g=0;g&lt;3;++g){var v=&quot;projection.&quot;+p[g];f(v+&quot;.show&quot;)&amp;&amp;(f(v+&quot;.opacity&quot;),f(v+&quot;.scale&quot;))}var m=n.getComponentMethod(&quot;errorbars&quot;,&quot;supplyDefaults&quot;);m(t,e,h||d||r,{axis:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;y&quot;,inherit:&quot;z&quot;}),m(t,e,h||d||r,{axis:&quot;x&quot;,inherit:&quot;z&quot;})}else e.visible=!1}},{&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;../scatter/line_defaults&quot;:629,&quot;../scatter/marker_defaults&quot;:635,&quot;../scatter/subtypes&quot;:640,&quot;../scatter/text_defaults&quot;:641,&quot;./attributes&quot;:643}],648:[function(t,e,r){&quot;use strict&quot;;var n={};n.plot=t(&quot;./convert&quot;),n.attributes=t(&quot;./attributes&quot;),n.markerSymbols=t(&quot;../../constants/gl3d_markers&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar=[{container:&quot;marker&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;},{container:&quot;line&quot;,min:&quot;cmin&quot;,max:&quot;cmax&quot;}],n.calc=t(&quot;./calc&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;scatter3d&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;symbols&quot;,&quot;showLegend&quot;],n.meta={},e.exports=n},{&quot;../../constants/gl3d_markers&quot;:473,&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:643,&quot;./calc&quot;:644,&quot;./convert&quot;:646,&quot;./defaults&quot;:647}],649:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/attributes&quot;),i=t(&quot;../../components/colorbar/attributes&quot;),a=t(&quot;../../components/fx/hovertemplate_attributes&quot;),o=t(&quot;../mesh3d/attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u={x:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc+clearAxisTypes&quot;},u:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},v:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},w:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},starts:{x:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},y:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},z:{valType:&quot;data_array&quot;,editType:&quot;calc&quot;},editType:&quot;calc&quot;},maxdisplayed:{valType:&quot;integer&quot;,min:0,dflt:1e3,editType:&quot;calc&quot;},sizeref:{valType:&quot;number&quot;,editType:&quot;calc&quot;,min:0,dflt:1},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,editType:&quot;calc&quot;},hovertemplate:a({editType:&quot;calc&quot;},{keys:[&quot;tubex&quot;,&quot;tubey&quot;,&quot;tubez&quot;,&quot;tubeu&quot;,&quot;tubev&quot;,&quot;tubew&quot;,&quot;norm&quot;,&quot;divergence&quot;]})};l(u,n(&quot;&quot;,{colorAttr:&quot;u/v/w norm&quot;,showScaleDflt:!0,editTypeOverride:&quot;calc&quot;}),{colorbar:i});[&quot;opacity&quot;,&quot;lightposition&quot;,&quot;lighting&quot;].forEach(function(t){u[t]=o[t]}),u.hoverinfo=l({},s.hoverinfo,{editType:&quot;calc&quot;,flags:[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;,&quot;u&quot;,&quot;v&quot;,&quot;w&quot;,&quot;norm&quot;,&quot;divergence&quot;,&quot;text&quot;,&quot;name&quot;],dflt:&quot;x+y+z+norm+text+name&quot;}),u.transforms=void 0,e.exports=u},{&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plots/attributes&quot;:538,&quot;../mesh3d/attributes&quot;:608}],650:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){var r,i,a,o,s=e.u,l=e.v,u=e.w,c=e.x,f=e.y,h=e.z,d=Math.min(c.length,f.length,h.length,s.length,l.length,u.length),p=0;e.starts&amp;&amp;(i=e.starts.x||[],a=e.starts.y||[],o=e.starts.z||[],p=Math.min(i.length,a.length,o.length));var g=0,v=1/0;for(r=0;r&lt;d;r++){var m=s[r],y=l[r],b=u[r],x=Math.sqrt(m*m+y*y+b*b);g=Math.max(g,x),v=Math.min(v,x)}n(t,e,{vals:[v,g],containerStr:&quot;&quot;,cLetter:&quot;c&quot;});var _=-1/0,w=1/0,A=-1/0,M=1/0,T=-1/0,k=1/0;for(r=0;r&lt;d;r++){var E=c[r];_=Math.max(_,E),w=Math.min(w,E);var L=f[r];A=Math.max(A,L),M=Math.min(M,L);var S=h[r];T=Math.max(T,S),k=Math.min(k,S)}for(r=0;r&lt;p;r++){var C=i[r];_=Math.max(_,C),w=Math.min(w,C);var O=a[r];A=Math.max(A,O),M=Math.min(M,O);var R=o[r];T=Math.max(T,R),k=Math.min(k,R)}e._len=d,e._slen=p,e._normMax=g,e._xbnds=[w,_],e._ybnds=[M,A],e._zbnds=[k,T]}},{&quot;../../components/colorscale/calc&quot;:384}],651:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-streamtube3d&quot;),i=n.createTubeMesh,a=t(&quot;../../lib&quot;),o=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,s=t(&quot;../../plots/gl3d/zip3&quot;),l={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var c=u.prototype;function f(t){return a.distinctVals(t).vals}function h(t){var e=t.length;return e&gt;2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function d(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function p(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,c={};function p(t,e){var n=r[e],o=i[l[e]];return a.simpleMap(t,function(t){return n.d2l(t)*o})}c.vectors=s(p(e.u,&quot;xaxis&quot;),p(e.v,&quot;yaxis&quot;),p(e.w,&quot;zaxis&quot;),u);var g=f(e.x.slice(0,u)),v=f(e.y.slice(0,u)),m=f(e.z.slice(0,u));if(g.length*v.length*m.length&gt;u)return{positions:[],cells:[]};var y=p(g,&quot;xaxis&quot;),b=p(v,&quot;yaxis&quot;),x=p(m,&quot;zaxis&quot;);if(c.meshgrid=[y,b,x],e.starts){var _=e._slen;c.startingPositions=s(p(e.starts.x.slice(0,_),&quot;xaxis&quot;),p(e.starts.y.slice(0,_),&quot;yaxis&quot;),p(e.starts.z.slice(0,_),&quot;zaxis&quot;))}else{for(var w=b[0],A=h(y),M=h(x),T=new Array(A.length*M.length),k=0,E=0;E&lt;A.length;E++)for(var L=0;L&lt;M.length;L++)T[k++]=[A[E],w,M[L]];c.startingPositions=T}c.colormap=o(e),c.tubeSize=e.sizeref,c.maxLength=e.maxdisplayed;var S=p(e._xbnds,&quot;xaxis&quot;),C=p(e._ybnds,&quot;yaxis&quot;),O=p(e._zbnds,&quot;zaxis&quot;),R=d(y),P=d(b),z=d(x),I=[[S[0]-R[0],C[0]-P[0],O[0]-z[0]],[S[1]+R[1],C[1]+P[1],O[1]+z[1]]],N=n(c,I);N.vertexIntensityBounds=[e.cmin/e._normMax,e.cmax/e._normMax];var D=e.lightposition;return N.lightPosition=[D.x,D.y,D.z],N.ambient=e.lighting.ambient,N.diffuse=e.lighting.diffuse,N.specular=e.lighting.specular,N.roughness=e.lighting.roughness,N.fresnel=e.lighting.fresnel,N.opacity=e.opacity,e._pad=N.tubeScale*e.sizeref*2,N}c.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[l[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],&quot;xaxis&quot;),n(i[1],&quot;yaxis&quot;),n(i[2],&quot;zaxis&quot;),n(a[0],&quot;xaxis&quot;),n(a[1],&quot;yaxis&quot;),n(a[2],&quot;zaxis&quot;),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},c.update=function(t){this.data=t;var e=p(this.scene,t);this.mesh.update(e)},c.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=p(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../plots/gl3d/zip3&quot;:581,&quot;gl-streamtube3d&quot;:160}],652:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../lib&quot;),i=t(&quot;../../components/colorscale/defaults&quot;),a=t(&quot;./attributes&quot;);e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(&quot;u&quot;),u=s(&quot;v&quot;),c=s(&quot;w&quot;),f=s(&quot;x&quot;),h=s(&quot;y&quot;),d=s(&quot;z&quot;);l&amp;&amp;l.length&amp;&amp;u&amp;&amp;u.length&amp;&amp;c&amp;&amp;c.length&amp;&amp;f&amp;&amp;f.length&amp;&amp;h&amp;&amp;h.length&amp;&amp;d&amp;&amp;d.length?(s(&quot;starts.x&quot;),s(&quot;starts.y&quot;),s(&quot;starts.z&quot;),s(&quot;maxdisplayed&quot;),s(&quot;sizeref&quot;),s(&quot;lighting.ambient&quot;),s(&quot;lighting.diffuse&quot;),s(&quot;lighting.specular&quot;),s(&quot;lighting.roughness&quot;),s(&quot;lighting.fresnel&quot;),s(&quot;lightposition.x&quot;),s(&quot;lightposition.y&quot;),s(&quot;lightposition.z&quot;),i(t,e,o,s,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),s(&quot;text&quot;),s(&quot;hovertext&quot;),s(&quot;hovertemplate&quot;),e._length=null):e.visible=!1}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;./attributes&quot;:649}],653:[function(t,e,r){&quot;use strict&quot;;e.exports={moduleType:&quot;trace&quot;,name:&quot;streamtube&quot;,basePlotModule:t(&quot;../../plots/gl3d&quot;),categories:[&quot;gl3d&quot;],attributes:t(&quot;./attributes&quot;),supplyDefaults:t(&quot;./defaults&quot;),colorbar:{min:&quot;cmin&quot;,max:&quot;cmax&quot;},calc:t(&quot;./calc&quot;),plot:t(&quot;./convert&quot;),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:649,&quot;./calc&quot;:650,&quot;./convert&quot;:651,&quot;./defaults&quot;:652}],654:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/color&quot;),i=t(&quot;../../components/colorscale/attributes&quot;),a=t(&quot;../../components/colorbar/attributes&quot;),o=t(&quot;../../components/fx/hovertemplate_attributes&quot;),s=t(&quot;../../plots/attributes&quot;),l=t(&quot;../../lib/extend&quot;).extendFlat,u=t(&quot;../../plot_api/edit_types&quot;).overrideAll;function c(t){return{show:{valType:&quot;boolean&quot;,dflt:!1},project:{x:{valType:&quot;boolean&quot;,dflt:!1},y:{valType:&quot;boolean&quot;,dflt:!1},z:{valType:&quot;boolean&quot;,dflt:!1}},color:{valType:&quot;color&quot;,dflt:n.defaultLine},usecolormap:{valType:&quot;boolean&quot;,dflt:!1},width:{valType:&quot;number&quot;,min:1,max:16,dflt:2},highlight:{valType:&quot;boolean&quot;,dflt:!0},highlightcolor:{valType:&quot;color&quot;,dflt:n.defaultLine},highlightwidth:{valType:&quot;number&quot;,min:1,max:16,dflt:2}}}var f=e.exports=u(l({z:{valType:&quot;data_array&quot;},x:{valType:&quot;data_array&quot;},y:{valType:&quot;data_array&quot;},text:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertext:{valType:&quot;string&quot;,dflt:&quot;&quot;,arrayOk:!0},hovertemplate:o(),connectgaps:{valType:&quot;boolean&quot;,dflt:!1,editType:&quot;calc&quot;},surfacecolor:{valType:&quot;data_array&quot;}},i(&quot;&quot;,{colorAttr:&quot;z or surfacecolor&quot;,showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:&quot;calc&quot;}),{colorbar:a,contours:{x:c(),y:c(),z:c()},hidesurface:{valType:&quot;boolean&quot;,dflt:!1},lightposition:{x:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:10},y:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:1e4},z:{valType:&quot;number&quot;,min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},diffuse:{valType:&quot;number&quot;,min:0,max:1,dflt:.8},specular:{valType:&quot;number&quot;,min:0,max:2,dflt:.05},roughness:{valType:&quot;number&quot;,min:0,max:1,dflt:.5},fresnel:{valType:&quot;number&quot;,min:0,max:5,dflt:.2}},opacity:{valType:&quot;number&quot;,min:0,max:1,dflt:1},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo)}),&quot;calc&quot;,&quot;nested&quot;);f.x.editType=f.y.editType=f.z.editType=&quot;calc+clearAxisTypes&quot;,f.transforms=void 0},{&quot;../../components/color&quot;:376,&quot;../../components/colorbar/attributes&quot;:377,&quot;../../components/colorscale/attributes&quot;:383,&quot;../../components/fx/hovertemplate_attributes&quot;:414,&quot;../../lib/extend&quot;:488,&quot;../../plot_api/edit_types&quot;:524,&quot;../../plots/attributes&quot;:538}],655:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../components/colorscale/calc&quot;);e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:&quot;&quot;,cLetter:&quot;c&quot;}):n(t,e,{vals:e.z,containerStr:&quot;&quot;,cLetter:&quot;c&quot;})}},{&quot;../../components/colorscale/calc&quot;:384}],656:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;gl-surface3d&quot;),i=t(&quot;ndarray&quot;),a=t(&quot;ndarray-homography&quot;),o=t(&quot;ndarray-fill&quot;),s=t(&quot;../../lib&quot;).isArrayOrTypedArray,l=t(&quot;../../lib/gl_format_color&quot;).parseColorScale,u=t(&quot;../../lib/str2rgbarray&quot;),c=t(&quot;../heatmap/interp2d&quot;),f=t(&quot;../heatmap/find_empties&quot;);function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this._interpolatedZ=!1}var d=h.prototype;d.getXat=function(t,e,r,n){var i=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},d.getYat=function(t,e,r,n){var i=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},d.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&amp;&amp;this.data.connectgaps&amp;&amp;this.data._interpolatedZ&amp;&amp;(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a&lt;3;a++){var o=t.dataCoordinate[a];null!=o&amp;&amp;(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&amp;&amp;s[i]&amp;&amp;void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||&quot;&quot;,t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t&lt;e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function v(t){for(var e=[],r=0;r&lt;p.length;r++){var n=p[r];e.push(g(t,n))}return e}function m(t){for(var e=v(t),r=t,n=0;n&lt;p.length;n++)if(e[n]&gt;0){r=p[n];break}return r}function y(t,e){if(!(t&lt;1||e&lt;1)){for(var r=v(t),n=v(e),i=1,a=0;a&lt;p.length;a++)i*=Math.pow(p[a],Math.max(r[a],n[a]));return i}}d.calcXnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e&lt;t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&amp;&amp;null!=n&amp;&amp;null!=i?Math.abs(i-n):0}var a=0;for(e=1;e&lt;t;e++)a+=r[e-1];for(e=1;e&lt;t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],x=b[9],_=b[13];d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r&lt;t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r&lt;x;)r*=2;for(;r&gt;_;)r--,r/=m(r),++r&lt;x&amp;&amp;(r=_);var n=Math.round(r/t);return n&gt;1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),u=1+n+1,c=1+o+1,f=i(new Float32Array(u*c),[u,c]),h=0;h&lt;t.length;++h){this.surface.padField(f,t[h]);var d=i(new Float32Array(s*l),[s,l]);a(d,f,[e,0,0,0,r,0,0,0,1]),t[h]=d}},d.setContourLevels=function(){for(var t=[[],[],[]],e=!1,r=0;r&lt;3;++r)this.showContour[r]&amp;&amp;(e=!0,t[r]=this.scene.contourLevels[r]);e&amp;&amp;this.surface.update({levels:t})},d.update=function(t){var e,r,n,a,s=this.scene,h=s.fullSceneLayout,d=this.surface,p=t.opacity,g=l(t,p),v=s.dataScale,m=t.z[0].length,y=t._ylength,b=s.contourLevels;this.data=t;var x=[];for(e=0;e&lt;3;e++)for(x[e]=[],r=0;r&lt;m;r++)x[e][r]=[];for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=f(x[2]),c(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r&lt;m;r++)for(t._interpolatedZ[r]=[],n=0;n&lt;y;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=v[e];for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(this.minValues[e]&gt;a&amp;&amp;(this.minValues[e]=a),this.maxValues[e]&lt;a&amp;&amp;(this.maxValues[e]=a));for(e=0;e&lt;3;e++)t._objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e&lt;3;e++)for(r=0;r&lt;m;r++)for(n=0;n&lt;y;n++)null!=(a=x[e][r][n])&amp;&amp;(x[e][r][n]-=t._objectOffset[e]);var w=[i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y]),i(new Float32Array(m*y),[m,y])];o(w[0],function(t,e){return x[0][t][e]}),o(w[1],function(t,e){return x[1][t][e]}),o(w[2],function(t,e){return x[2][t][e]}),x=[];var A={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacity:t.opacity};if(A.intensityBounds=[t.cmin,t.cmax],t.surfacecolor){var M=i(new Float32Array(m*y),[m,y]);o(M,function(e,r){return t.surfacecolor[r][e]}),w.push(M)}else A.intensityBounds[0]*=v[2],A.intensityBounds[1]*=v[2];(_&lt;w[0].shape[0]||_&lt;w[0].shape[1])&amp;&amp;(this.refineData=!1),!0===this.refineData&amp;&amp;(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&amp;&amp;1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&amp;&amp;(A.intensity=w.pop());var T=[!0,!0,!0],k=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(e=0;e&lt;3;++e){var E=t.contours[k[e]];T[e]=E.highlight,A.showContour[e]=E.show||E.highlight,A.showContour[e]&amp;&amp;(A.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,A.levels[e]=b[e],d.highlightColor[e]=A.contourColor[e]=u(E.color),E.usecolormap?d.highlightTint[e]=A.contourTint[e]=0:d.highlightTint[e]=A.contourTint[e]=1,A.contourWidth[e]=E.width):this.showContour[e]=!1,E.highlight&amp;&amp;(A.dynamicColor[e]=u(E.highlightcolor),A.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&amp;&amp;e[1]===r[1]&amp;&amp;e[2]===r[2]&amp;&amp;e[3]===r[3]})(g)&amp;&amp;(A.vertexColor=!0),A.objectOffset=[t._objectOffset[0],t._objectOffset[1],t._objectOffset[2]],A.coords=w,d.update(A),d.visible=t.visible,d.enableDynamic=T,d.enableHighlight=T,d.snapToData=!0,&quot;lighting&quot;in t&amp;&amp;(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),&quot;lightposition&quot;in t&amp;&amp;(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),p&amp;&amp;p&lt;1&amp;&amp;(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{&quot;../../lib&quot;:495,&quot;../../lib/gl_format_color&quot;:493,&quot;../../lib/str2rgbarray&quot;:517,&quot;../heatmap/find_empties&quot;:606,&quot;../heatmap/interp2d&quot;:607,&quot;gl-surface3d&quot;:163,ndarray:286,&quot;ndarray-fill&quot;:276,&quot;ndarray-homography&quot;:278}],657:[function(t,e,r){&quot;use strict&quot;;var n=t(&quot;../../registry&quot;),i=t(&quot;../../lib&quot;),a=t(&quot;../../components/colorscale/defaults&quot;),o=t(&quot;./attributes&quot;);function s(t,e,r){e in t&amp;&amp;!(r in t)&amp;&amp;(t[r]=t[e])}e.exports=function(t,e,r,l){var u,c;function f(r,n){return i.coerce(t,e,o,r,n)}var h=f(&quot;x&quot;),d=f(&quot;y&quot;),p=f(&quot;z&quot;);if(!p||!p.length||h&amp;&amp;h.length&lt;1||d&amp;&amp;d.length&lt;1)e.visible=!1;else{e._xlength=Array.isArray(h)&amp;&amp;i.isArrayOrTypedArray(h[0])?p.length:p[0].length,e._ylength=p.length,e._objectOffset=[0,0,0],n.getComponentMethod(&quot;calendars&quot;,&quot;handleTraceDefaults&quot;)(t,e,[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;],l),f(&quot;text&quot;),f(&quot;hovertext&quot;),f(&quot;hovertemplate&quot;),[&quot;lighting.ambient&quot;,&quot;lighting.diffuse&quot;,&quot;lighting.specular&quot;,&quot;lighting.roughness&quot;,&quot;lighting.fresnel&quot;,&quot;lightposition.x&quot;,&quot;lightposition.y&quot;,&quot;lightposition.z&quot;,&quot;hidesurface&quot;,&quot;connectgaps&quot;,&quot;opacity&quot;].forEach(function(t){f(t)});var g=f(&quot;surfacecolor&quot;),v=[&quot;x&quot;,&quot;y&quot;,&quot;z&quot;];for(u=0;u&lt;3;++u){var m=&quot;contours.&quot;+v[u],y=f(m+&quot;.show&quot;),b=f(m+&quot;.highlight&quot;);if(y||b)for(c=0;c&lt;3;++c)f(m+&quot;.project.&quot;+v[c]);y&amp;&amp;(f(m+&quot;.color&quot;),f(m+&quot;.width&quot;),f(m+&quot;.usecolormap&quot;)),b&amp;&amp;(f(m+&quot;.highlightcolor&quot;),f(m+&quot;.highlightwidth&quot;))}g||(s(t,&quot;zmin&quot;,&quot;cmin&quot;),s(t,&quot;zmax&quot;,&quot;cmax&quot;),s(t,&quot;zauto&quot;,&quot;cauto&quot;)),a(t,e,l,f,{prefix:&quot;&quot;,cLetter:&quot;c&quot;}),e._length=null}}},{&quot;../../components/colorscale/defaults&quot;:386,&quot;../../lib&quot;:495,&quot;../../registry&quot;:592,&quot;./attributes&quot;:654}],658:[function(t,e,r){&quot;use strict&quot;;var n={};n.attributes=t(&quot;./attributes&quot;),n.supplyDefaults=t(&quot;./defaults&quot;),n.colorbar={min:&quot;cmin&quot;,max:&quot;cmax&quot;},n.calc=t(&quot;./calc&quot;),n.plot=t(&quot;./convert&quot;),n.moduleType=&quot;trace&quot;,n.name=&quot;surface&quot;,n.basePlotModule=t(&quot;../../plots/gl3d&quot;),n.categories=[&quot;gl3d&quot;,&quot;2dMap&quot;,&quot;noOpacity&quot;],n.meta={},e.exports=n},{&quot;../../plots/gl3d&quot;:570,&quot;./attributes&quot;:654,&quot;./calc&quot;:655,&quot;./convert&quot;:656,&quot;./defaults&quot;:657}]},{},[5])(5)});&lt;/script&gt;\n",
       "        &lt;script&gt;\n",
       "        function decodeBase64(encoded, dtype) {\n",
       "\n",
       "    let getter = {\n",
       "        &quot;float32&quot;: &quot;getFloat32&quot;,\n",
       "        &quot;int32&quot;: &quot;getInt32&quot;\n",
       "    }[dtype];\n",
       "\n",
       "    let arrayType = {\n",
       "        &quot;float32&quot;: Float32Array,\n",
       "        &quot;int32&quot;: Int32Array\n",
       "    }[dtype];\n",
       "\n",
       "    let raw = atob(encoded);\n",
       "    let buffer = new ArrayBuffer(raw.length);\n",
       "    let asIntArray = new Uint8Array(buffer);\n",
       "    for (let i = 0; i !== raw.length; i++) {\n",
       "        asIntArray[i] = raw.charCodeAt(i);\n",
       "    }\n",
       "\n",
       "    let view = new DataView(buffer);\n",
       "    let decoded = new arrayType(\n",
       "        raw.length / arrayType.BYTES_PER_ELEMENT);\n",
       "    for (let i = 0, off = 0; i !== decoded.length;\n",
       "        i++, off += arrayType.BYTES_PER_ELEMENT) {\n",
       "        decoded[i] = view[getter](off, true);\n",
       "    }\n",
       "    return decoded;\n",
       "}\n",
       "\n",
       "function getAxisConfig() {\n",
       "    let axisConfig = {\n",
       "        showgrid: false,\n",
       "        showline: false,\n",
       "        ticks: &#x27;&#x27;,\n",
       "        title: &#x27;&#x27;,\n",
       "        showticklabels: false,\n",
       "            zeroline: false,\n",
       "        showspikes: false,\n",
       "        spikesides: false\n",
       "    };\n",
       "\n",
       "    return axisConfig;\n",
       "}\n",
       "\n",
       "function getLighting() {\n",
       "    return {};\n",
       "    // i.e. use plotly defaults:\n",
       "    // {\n",
       "    //     &quot;ambient&quot;: 0.8,\n",
       "    //     &quot;diffuse&quot;: .8,\n",
       "    //     &quot;fresnel&quot;: .2,\n",
       "    //     &quot;specular&quot;: .05,\n",
       "    //     &quot;roughness&quot;: .5,\n",
       "    //     &quot;facenormalsepsilon&quot;: 1e-6,\n",
       "    //     &quot;vertexnormalsepsilon&quot;: 1e-12\n",
       "    // };\n",
       "\n",
       "}\n",
       "\n",
       "function getConfig() {\n",
       "    let config = {\n",
       "        modeBarButtonsToRemove: [&quot;hoverClosest3d&quot;],\n",
       "        displayLogo: false\n",
       "    };\n",
       "\n",
       "    return config;\n",
       "}\n",
       "\n",
       "function getCamera(plotDivId, viewSelectId) {\n",
       "    let view = $(&quot;#&quot; + viewSelectId).val();\n",
       "    if (view === &quot;custom&quot;) {\n",
       "        try {\n",
       "            return $(&quot;#&quot; + plotDivId)[0].layout.scene.camera;\n",
       "        } catch (e) {\n",
       "            return {};\n",
       "        }\n",
       "    }\n",
       "    let cameras = {\n",
       "        &quot;left&quot;: {eye: {x: -1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;right&quot;: {eye: {x: 1.7, y: 0, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;top&quot;: {eye: {x: 0, y: 0, z: 1.7},\n",
       "                up: {x: 0, y: 1, z: 0},\n",
       "                center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;bottom&quot;: {eye: {x: 0, y: 0, z: -1.7},\n",
       "                    up: {x: 0, y: 1, z: 0},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;front&quot;: {eye: {x: 0, y: 1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "        &quot;back&quot;: {eye: {x: 0, y: -1.7, z: 0},\n",
       "                    up: {x: 0, y: 0, z: 1},\n",
       "                    center: {x: 0, y: 0, z: 0}},\n",
       "    };\n",
       "\n",
       "    return cameras[view];\n",
       "\n",
       "}\n",
       "\n",
       "function getLayout(plotDivId, viewSelectId, blackBg) {\n",
       "\n",
       "    let camera = getCamera(plotDivId, viewSelectId);\n",
       "    let axisConfig = getAxisConfig();\n",
       "\n",
       "    let height = Math.min($(window).outerHeight() * .9,\n",
       "                            $(window).width() * 2 / 3);\n",
       "    let width = height * 3 / 2;\n",
       "\n",
       "    let layout = {\n",
       "        height: height, width: width,\n",
       "        margin: {l:0, r:0, b:0, t:0, pad:0},\n",
       "        hovermode: false,\n",
       "        paper_bgcolor: blackBg ? &#x27;#000&#x27;: &#x27;#fff&#x27;,\n",
       "        axis_bgcolor: &#x27;#333&#x27;,\n",
       "        scene: {\n",
       "            camera: camera,\n",
       "            xaxis: axisConfig,\n",
       "            yaxis: axisConfig,\n",
       "            zaxis: axisConfig\n",
       "        }\n",
       "    };\n",
       "\n",
       "    return layout;\n",
       "\n",
       "}\n",
       "\n",
       "function updateLayout(plotDivId, viewSelectId, blackBg) {\n",
       "    let layout = getLayout(\n",
       "        plotDivId, viewSelectId, blackBg);\n",
       "    Plotly.relayout(plotDivId, layout);\n",
       "}\n",
       "\n",
       "function textColor(black_bg){\n",
       "    if (black_bg){\n",
       "        return &quot;white&quot;;\n",
       "    }\n",
       "    return &quot;black&quot;;\n",
       "}\n",
       "\n",
       "function addColorbar(colorscale, cmin, cmax, divId, layout, config,\n",
       "                     fontsize=25, height=.5, color=&quot;black&quot;) {\n",
       "    // hack to get a colorbar\n",
       "    let dummy = {\n",
       "        &quot;opacity&quot;: 0,\n",
       "        &quot;colorbar&quot;: {&quot;tickfont&quot;: {&quot;size&quot;: fontsize, &quot;color&quot;: color},\n",
       "                     &quot;len&quot;: height},\n",
       "        &quot;type&quot;: &quot;mesh3d&quot;,\n",
       "        &quot;colorscale&quot;: colorscale,\n",
       "        &quot;x&quot;: [1, 0, 0],\n",
       "        &quot;y&quot;: [0, 1, 0],\n",
       "        &quot;z&quot;: [0, 0, 1],\n",
       "        &quot;i&quot;: [0],\n",
       "        &quot;j&quot;: [1],\n",
       "        &quot;k&quot;: [2],\n",
       "        &quot;intensity&quot;: [0.],\n",
       "        &quot;cmin&quot;: cmin,\n",
       "        &quot;cmax&quot;: cmax,\n",
       "    };\n",
       "\n",
       "    Plotly.plot(divId, [dummy], layout, config);\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "function decodeHemisphere(surfaceInfo, surface, hemisphere){\n",
       "\n",
       "    let info = surfaceInfo[surface + &quot;_&quot; + hemisphere];\n",
       "\n",
       "    for (let attribute of [&quot;x&quot;, &quot;y&quot;, &quot;z&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;float32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "    for (let attribute of [&quot;i&quot;, &quot;j&quot;, &quot;k&quot;]) {\n",
       "        if (!(attribute in info)) {\n",
       "            info[attribute] = decodeBase64(\n",
       "                info[&quot;_&quot; + attribute], &quot;int32&quot;);\n",
       "        }\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "        &lt;/script&gt;\n",
       "        \n",
       "    &lt;script&gt;\n",
       "        var connectomeInfo = {&quot;connectome&quot;: {&quot;colorscale&quot;: [[0.0, &quot;rgb(0, 0, 255)&quot;], [0.01, &quot;rgb(4, 4, 255)&quot;], [0.02, &quot;rgb(10, 10, 255)&quot;], [0.03, &quot;rgb(14, 14, 255)&quot;], [0.04, &quot;rgb(20, 20, 255)&quot;], [0.051, &quot;rgb(24, 24, 255)&quot;], [0.061, &quot;rgb(30, 30, 255)&quot;], [0.071, &quot;rgb(36, 36, 255)&quot;], [0.081, &quot;rgb(40, 40, 255)&quot;], [0.091, &quot;rgb(46, 46, 255)&quot;], [0.101, &quot;rgb(50, 50, 255)&quot;], [0.111, &quot;rgb(56, 56, 255)&quot;], [0.121, &quot;rgb(62, 62, 255)&quot;], [0.131, &quot;rgb(65, 65, 255)&quot;], [0.141, &quot;rgb(72, 72, 255)&quot;], [0.152, &quot;rgb(76, 76, 255)&quot;], [0.162, &quot;rgb(81, 81, 255)&quot;], [0.172, &quot;rgb(86, 86, 255)&quot;], [0.182, &quot;rgb(92, 92, 255)&quot;], [0.192, &quot;rgb(97, 97, 255)&quot;], [0.202, &quot;rgb(102, 102, 255)&quot;], [0.212, &quot;rgb(108, 108, 255)&quot;], [0.222, &quot;rgb(112, 112, 255)&quot;], [0.232, &quot;rgb(118, 118, 255)&quot;], [0.242, &quot;rgb(124, 124, 255)&quot;], [0.253, &quot;rgb(128, 128, 255)&quot;], [0.263, &quot;rgb(134, 134, 255)&quot;], [0.273, &quot;rgb(138, 138, 255)&quot;], [0.283, &quot;rgb(144, 144, 255)&quot;], [0.293, &quot;rgb(147, 147, 255)&quot;], [0.303, &quot;rgb(154, 154, 255)&quot;], [0.313, &quot;rgb(160, 160, 255)&quot;], [0.323, &quot;rgb(163, 163, 255)&quot;], [0.333, &quot;rgb(170, 170, 255)&quot;], [0.343, &quot;rgb(174, 174, 255)&quot;], [0.354, &quot;rgb(179, 179, 255)&quot;], [0.364, &quot;rgb(186, 186, 255)&quot;], [0.374, &quot;rgb(190, 190, 255)&quot;], [0.384, &quot;rgb(195, 195, 255)&quot;], [0.394, &quot;rgb(200, 200, 255)&quot;], [0.404, &quot;rgb(206, 206, 255)&quot;], [0.414, &quot;rgb(211, 211, 255)&quot;], [0.424, &quot;rgb(216, 216, 255)&quot;], [0.434, &quot;rgb(222, 222, 255)&quot;], [0.444, &quot;rgb(226, 226, 255)&quot;], [0.455, &quot;rgb(232, 232, 255)&quot;], [0.465, &quot;rgb(236, 236, 255)&quot;], [0.475, &quot;rgb(242, 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&quot;, 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uLwnBdVcK6+1HCzSFiwgX9iMLLZnnCQryJwh5Yi8Io+ytBPYHQQBbqf0B9sF3BUJYlwS4chsFWIqbBmhO9wX7tpkFguoxBRnRmQTrDBsHtUkPA6FxRwT7sgsF4zKPBIVgFwa6N4sDZL7fAjjOoQNusbz9j2olAGm7tQMGypkAw7CHC8pgewj3CFcIlcLPBqw7RwdrapMEoY6DBYGhjwVXQzMLUu8fCtlbIwljzssLw0bTCVfOowtPIoMJroZ7CTRYqwsIRJMIgzTPCKGBtwhKUVsLjD2bCntlYwm1XbcIdHfk/eTIHQUS0EUHo66A/Qx+WQD5aaUA3ogJB6PTbQKLQn0CQGjhAJeTAQOaWqEFWuWFBhqedQbw4j0FuoL9BavPiQYad3EF1qt1BZ1kFQoboB0Lp0hFCCFoJQlqiGcIJJRnCPXcIwrPS2MGgROjBPfDSwR7p1MFdncDB3buSwZC9gcFdR5TBvUFXwU3EVsFuGDTBhvSGwUneHsHncDbBWkztwFixn8B1DwDBHVaEwN49gsDNL1rCdY1vwiI8WcJnsjfCLTRNwuMOScKQY1jCHeVGwkrQC8KW6hPCR7gTwuTPGcIqhyHCNgUnwh5VOcKkDi/C9io6whvRKMJb0AvCkAYfwvXdG8Ih2CbCKCcnwYYBg8Hj6nzBUpe9wQtpxsFGNunBUvUNwr4YC8IzpNDB40PGweON+sHr9yTCtNcpwu3yMcLNpizCzeMswvQ7PsJGnT7CrRZIwrCYVMIbLlTCQsFfwrRuF0Lbv/1BLVvAQW1P6UGDIfpBldUSQssm9UHg5mBAVXkNQf6A3UD2fh1B8xBlQYChdkEyw7hBjoSXQfCJn0G7BGZB3qiwwMBWJj+eKKzA9Y1gwCrJ80GuptVBxCADQiqZLEJCwRFCoSQQQsZY9kEprA5CliBRQi5zPkK6gDRCCPj4QWrfCULClepBlnLkQfo6vUHwMJ1B+52dQaWRZUGo5U5BXpoqQXB+kUA/HcxA4+HPQUnaukFFAORBxWoaQiv9DUIoIhJC9o8HQtCOHULmm19CSil3QqAVbULNamRChgZmQoLOSkKamy9CRmUyQvMVGULFTypCLmcWQtNcCkJG7QFCJjbTQe7irkDqQMhA+hT1QK23kkE9XFZBNdyMQd5siEFe36FBeyoFQjDI60HCmAFCjzsIQmnHB0Kd3uVB0LTIQYpW2EEdJ9FBKLziQZbTBEJQcP1B3dbpQbXT2UH61p7B4/x9wSZWmME+q57BS3iGwcySiMFgvmXBavqqwdiDgMFQcb7B+h+AwQNW5cAz3WTBSt9UwWH8lMF6eEDB42MzwcN9qsByJ5lBzlFKQcBKp0EGyLFB5WTXQTp0D8LOLC3CVYsawpoAHcJatCXCrZ0twp4SOcK3VzPCBdDYwapKAMIsDAXCJ+Eawtt9GsIT+B3CZaUlwnaFFsICSQ7CIPwKwuNW1sGQ6NvBG0m9wXBNr8FW6Z/CDfahwgbjmMLxnoTC+yGIwpd8gsITjHnCC0ODwvCHZcLoomnCqO1dwqpPRsI1nlXCeO9RwtPyXcIm8EjCk7s9wsICN8JI2BnCXQUcwh5KD8IZOgfCKsUCwnutdMJiw4HCxhF4wiIMgcLILHzCTsl9wm5/gsLNc4TCrYN7wgvwecL2TojCGkinwupNocJgGabCIAqcws5Op8Le76jC6k6vwv5HnMIAmKbC6iOfwqdXocIwpXfC4gKDwux6g8JmiJDCYD6IwoNVkMITxaDCY9ugwslCp8L9mqHCbVqrwrZRwMKesrfCe4O5wkq2vMK2jMTCPd3NwtWezcIjMMTCMzLGwormvcI1UbjC7cSzwjudwsHMBa3BYkTVwb1IFcIenQHCPg8KwnBrAcJu+RLC4OlQwuXBQ8KAsk/C4MBawiMJSMJKHUXCSB0xws3zRsLCXErCJjdawjQQgcKlsoPCkmR3wkA1b8KNGIlBAKX6QCKJIUEWCtO/2osawMt07sDW3GPB42pfwSV2MMC+F8C/+DoJwSI26sFVkbHBzVfnwaUh4cGIFwvCpjoWwg2kH8JG5zfCJMY8ws70R8KqymHC0zBhwuKQnUH8AZNBaPKAQYZM7EBiHg1B42FtQJK8qD+C7o8+TThrQDiarkBmKeS/MNVSwdrUJsHd/RjB6GXlwMVODsFjOK7ASrwkwRLnkMFQGl7BgMCXwRhFqcH4dcTBqHgdwU1UZsHF/hbBEgYDwGgu0MDqRzXAOAtcwIAZ2j80bxhBRiqDQbojnUFSXslA8J8OQZrA8j+JCjzAnF8MwHXE8cAdO07AE6CcwN+FDcHwuRrBzdZXwa09KsHakJXCNRibwkwWj8J+E37C2SGEwr6HesKmmoLCMkhswpHoLcKlWkXCTWw2whD7M8LvNUXCCgs6wsIBRMKGEi7Cingtwm1qJMLKKMvBmi3zwT1uwsGjdcjBk/uMwdpllsL2pZPCT/CawlLaocLpRpfCVLSUwru/i8LcTJTCmE67wnWOt8KBsLHCql+TwrPYmsLaF4zCVb6AwpKlc8KTkF7CcmNvwt4QTMLeTEfCT8Mswma+EMKAJhrCJvcTwWhmTcHKD5TBBRDiwQMFycG6k9bBjZTQwTsP98HG3xvC7kgZwuhyHsKArgvColYdwk1NFcJBaRPCplQHwtZV9cHWIe/BXv0iwqbvD8LGVhDC2u36wZ6IFMK2WFHBZW4IwfKz68B+t9vANEYWwRsy1cEy073BYp6vweqkhMHrJ9TBxW7gwZ3g1cEAZ9nBcDFbwS4plsGN5bDBZfPJwSxOJsEndjLBrUw5weKIcUKaq21C0zBfQrjST0KUjD9CjnBAQnFcREJfwEtCNoJjQhkpH0IGAjFCJ/UoQgkCO0I6Wj/ByZw7wZJq6MDlYvC+9HS4QLXAUsGPzJDB6K5NwT9YRMGTK2fC5Q1pwmjlWcI2+E7C8zRNwiZuScL7XVnCwp1YwlWtY8IPUJXCyCmcwoxGlsL2Po7CVIOHwm7RZsKW8mfCtZt3wjJoicLt7O4/uH2MvlFFj8BxVy7BFtiEwVD+m0Ga4FJB3goeQUqo9r9waFPBkC+fQGS3k77JdwpByhs1QZbcQkEwAQrC1YoFwiCa7MH3i8TB6VOjwakByMIsGcbCcgDDwihFuMKJfazCo3VTwva2UcKzA2HCg/ZvwpYdgsKF7b0+nmgBQa8Nq0CY888/K2ROPJ77nED+1AhBVWIyQQB3l0HH08VBA7/jQZjw1kH79btBQt+yQYhO+8Hox/fB8nHnwVib3MHu0NbBpYyZwS41m8HdT37BQB9UwaMBO8FYiyrBKs8PwZkAwsCZ7D/CnmRHwibCOsK9yzLCHZ0rwiXgB8L2dhHCoxwQwsI7FcJLPRXCT3YawuC2DMK9kwPCClsYwc3tb8H1PVnBARKYwRaAu8GYWAnCcbUPwoMhEMKeFg/Cy9glwqC2OsKjeS3C18A5wuy4yUFW3JxBc42UQaZUn0F2WCfAyzJeQE42tD8iQKFAAgzPQN0a70C2kPW9US6HwFhSJ0LS8h5Co0o1QkJiLkKrXyhChq8/QjOSMEJOSCJCoHkHQm7x1UHGv6VBXLC0QTyrlUFeqoJBGkwZQjjhDEK2KCRCisMpQk47N0IPt4ZCOJlvQkqkhEJTc2lC++1JQqYpMkLZOTdCRecoQhCcDkFD4htB+jBbQerWkEELbbNB0xAlQnkTFEKbrCJCntwhQh+TEUIw4v5B6u8SQlDCFUI9gdnByQ22wbJM28EC8r3B8dDAwW1RXMCCUBjBJn/Hv2TEij2yEcU/hkUcQCnjIEFL5opBHZ26QQrm9sHeDRDCjhoKwoaGEcKHRxbCw9HiwYxECMI2uAfCnOQUwiUsE8I/9AfCI/0GwvXM9MHaBZLCFQmRwivgi8LrgYbCbuCBwqplWcKyoFTCliZRwipaRcLNkjvCHggywsUBM8J7LCjCQIEZwm5IZsLAu3DCGKxpwsi2c8KCTYDCM6uOwitYlMJ2lJfC3qqdwonknsJquKbC39aZwtedlcJcFoDCU7OIwtmIjMIQZZbC+7uZwjICssKD+q7C0e6vwp9ducLV28LCiu/JwuzUvsI6DrrCw323wv31BsJZBgHCfK8UwvVqHsIh0yDCe1tqwt0KWcKyzWvCxr1pwloRccLasW3CluCHwkPzhMJPBZhBc/I3QRquQkFX1ahAcwgqv12bhMHYy4DBhx20wRrw58G9Ow7CqEohwgJ1HsLQxSrCx5U7wsmVx0G+U45BQjudQaneOUGjd95AsFIswU8xCcHgyWHBmESFwZaTgMH6cGnBxj+XwS44p8EGA7XBQj7Ov8rtlcByp4I/SykpQLbKYkDm/4RBXoCwQVNEsEGoTWxBggumQICvyz4kS4NAMINrPja3HsDWS4LCO2KHwgYihcKFwoDCG955wiRRAcL1zRzCDFcJwvPTE8Lh3B3CPNYWwn5ZAsKNh9HBtLejwW67psJd76HCPtSowiXerMK+i6nC3kuowhTSqMKK9p/CLcyWwi3PicIupHzCquSBwsWLY8L7MkfCZUSawVCws8Hv5cvB/nfowVQwBMJIRSjCoUQWwhLSGcL+1A7C7BQEwiCr+8FehyTCGvYuwu46NsIMBRnBOGo/wHj1r8CQ4go/0QoBQCZptsALpVHAzcx1Oo0FL70Sy6E/+ByFQEaduMHKZJ/BHJyJwTn2lcFnGKHB1c6owSYfoMHdBaPBAdGLwQ75YsE2KPvBWaANwsIg88FatO7BTpvxwW3Q6sGefunBfibwwZrF48EwsM3BjcNUwc6icsFm9YfBEsedwQOE1sHp58TBTabXwcvW+ME42QTCfSj8wUt6AEG6tgtAGpD4PpaBG8CI0RPBjmLxwJhjqMCE5xXBdZ8uweKeakJFSllC3j1tQh7Qa0LrCmVCEEl4QiDoc0J1WV5Ce3tOQjLwOUJuFSdCFcReQr3HaEIG81hCjTpUQrbzZUKgcFhCEIpxQjM7g0JnfIZCq66DQhDK10FdR9tB4xQAQlKiDEJRABZCXeU2QmJdLEIvhCZCDpI5Qq78UEL1TObBaL7ewXnVucHS44XBaHpCwRKzDsH+CMHA/RmZwLFdlbwwBd1AO1hIQT6duMG4b87B02e7wZalvcHCX8PB8buewUAJqsHt78TB5grTwYr038H3y4PCQNp8wpWOesLq8XDCkKBowtOBbcLgwW3CzQJiwmY7ZMIq0V7C9pRRwrjVTMKa+1nCDYlXwoMtZ8IVDHnCg6FowlCpecJ0yYbCOHaKwnIch8LOeo/CQl2PwtYTksIKA5vCXm+mwqlqncIGMqLCIqSqwmpKp8JmHJ/C4sGWwnz2OcIOhjXCnbs9wnYgUMKQzWHCgBRpwrb7aMIK0mjC63J5wrFvjcJYonBBxTwyQQJxDUG5sQVAhauWwGVFV8ANBeXAqPs7wc+xksEdmMHB6E7rweOR3kHDHq9BvlymQf6ZPkET5JA/YMacQP1/e7+sPcfAJr5UwZjJlcHm7bjBglgpwWRnDcDyfbrArNcHv5XXiUCN3yzAeHa0P8ZyDEF63SdB9h0YQYXi6EASBkrCZVxMwpyVNMK/hyrCvhMawq76AMKuwwHCEYAEwmA/2MHso6jBTfOJwTqTvsLx1r7CsIbDwmxpw8I4arrChPW9wpBetcJo8K7CKtyjwqXxm8Jir4/CReAIwh8LC8Ku5hbC+yYewuJmIsL2/UvCiDJCwsYuNcKRBEHCKKdNwgBWasKtpp8/+n3QQGar9kDaKMdA8EqsQMbIzkAgfZ9AFga7QO3zDUGleWNBmiOVQfwfID6GWEA/EvxCQN0gGkHz3hBBeE/kQHUhTUG9PIxB3jy2QZuH1kHIUvVBfeX+QQ1I9UF++QRCnE4KQnUxDEJmNwxC5tYdQuKUM8L2dDbC4lUlwuZmFcIDMwfCKuP8wagl/8H+VfbBlYLfwQY008H9gsHBBK2lwRKfuME9KMDBpoqHwZApjcH3u6/BFgClwYkxpMEO0KnBN3OTwcOSbMFLLy3Bg7kYwWPj8cALdQ3BcCfpwLNHb8BwCH3CjLOGwrJUgMJTiXXCWwxtws7+U8I2qWTCQERpwuDnX8JGiVTC25pNwscgFcL6iRzCHWUowvJpGcJpRSTCFsowwoHpP8JWv0bCdDVFwl44QMKuMT3Chnk6wn4YI8LWsDDCyYY6whbMOsJy9jbCcBEUwSr/Y8FCB3HBTq+owdmexsFGwa/BbWLKwVWT6sEyCQnCxhMZwsukJsKy1YvB7z29wZDE5MHrTBDCZt4OwhNwDcJwoibCnpIowng2MMJV3T3CO/xIwkXZXsLNz07ClfxfwqqWYsK6hmLC+H5twjaMKUIoXylCgVsoQiDH70EW7w5CulUpQuLVJkId1BxCLpMQQniUMEHTWWNB1h6WQbl2I0GedohBWBzJQVJc1EE+8etBwjvzQU9KwUHtXoxBPKpFQaOw/kAyiOZAZdfOQDw2FUDxITvASNpCwA78j0HKQDlBusCdQV/IrkHgQb9ByFQNQrPB+UFUwslBGGrMQXjgyUFOQ7lBjshBQsSUMUKyHiNCzeMhQoDLF0IpbxRCUT0HQqD33EF4fqhBEf2dQTrcdkHIKTZB1WF9QeMPR0HieuhAT+RJQA1HXb0eXclBajS1QeL5skFKyatBwmfbQWrNAkLmBwZC4ODwQSXx6EF+aO9B+oD1QbNMaEJ9DmRCa6NIQv6WeELtn1VC59s3QsaPKEJl8BNCZvcFQnLoA0LlTfJBMkvaQTTMGkLFagNCSOzOQQKvukExMaNBcnzfQEY2AUFIPR5BOtcsQQW4MEEL4ExBvUFzQdSGhkEBY5BB+FzUQWv31UEwENlBytAHQsPr7EH6LMhBuuyrQRPprEHDgadB0G63QfpsykHw/99B0LD2QXjE90HuZ+5BG37mQQIA10Gl8chB84imweWZlsEFsIbBKF9CwSaJHcF5FpXBzYFcwW1C4sAuztTAwMcYwVrtV8F+P9jBZUnQwaPhycGqjnLBFH+owXFOwsEMU7HBR8iXwTt4cMH+LFrBthkdwS7Pd8D8PEtApp57QEp1m0C2JmJB9juzQYY0PcJ7iELCwUNHwtoJI8JM1TTC2xZJwoewR8IuF0bCWKs9wqsQ98FYWwzCkBYZwt+sD8JQahrChvMowo6AMMIXiy/CXRAtwp00HcKFSw/CiroDwlWH+sFFB+PBFknxwfpN28HCir/BWvLTwTioq8L1dK7CItaqwtqYncJp3ZHCBfGOwuJMi8KYfYXCwOp6wvo6dsJai3jClX90wiWuc8KG4HTCwJ5ZwkXcZMK4p33CToV6wsD0ccKWa17CTiRCwsBnMsIQayHCmHUowrkiIMI1ExfCoRkJwl7Y8sHZR4bCMjuDwsvGgMI7V4DCoAR6wqChgcLtw4TCuOaJwmJdksI9zWnCgJx7wpaliMLSEpbC/wuSwoaci8LlC4/CpcSUwmmZncIwTKTCuy2uwpW3t8LteKzCoyKwwj4UsMK6RqjCVwOnwppzrcJIx33COpGFwrbKhMI7k4vCzGqRwi4dhcL+UIfC476YwqYso8J/7q3CnoW3wqiimsKb/ZrC4qGdwtv4sMIWEazCo1Wnwo47r8IXsrvC6InBwnd8x8KOAc7Ca8XQwrLPysJDWM3C20XKwmJYw8I8J7fCYJmCwXd8lsGGuqvB5X/swaiG18H/3sjBXk3kwTN98sHSgAfC2r8uwjLqK8LTcDDCyiNNwkAPPsIf8SvCFnwjwmnNGMIeyhvCCUIzwpLdSsKetlbCipxpwgAWZ8LNL2TClpt7wmvKccKYwnbC3t0mQIUgp0BAo2i/akuXwBP3T0DNjzDA/okewRALgcHopqrBlm7Rwf1Rs0DqJGm/XpbtwH3XdMFaO2zB1Tlmwe0Mq8HG+N7BsBL/wcwhC8JNSSDCnx40wjJ1MMICYjzC9zpAwopuWsIGNmrC9WKeQbcXh0E1tFNB3NpEQXp/PEGeCsRA2nJTQECLNEBTKFJAfdVuQfKRz0Aml8Q/s43TwAIskMCHcZW/B8yIwIp1gMAlXxNA8k/1u0rSc8DjkvnARaQzwV3JHcGTzz7B0EN8wTUhpcH8f6TBnXbEwTvrkcE+6IbBxS11weJ7B8GLJyrBNe1NwXPBAMF4KAzBPG9Gwa8lNUFWnVBBSyLFQI35dkHOTBtBnRvMQMBQ47+OIQHBWr1SwdPHRcFSvmnBMl6CwRB54MC41CnBzZxPwQOBR8FSXX3BK26mwSb4p8Ki2aLC2Qmbwu5eisJCy43CNSmXwmflksIGK4nC5iJ7wqOFUcLQWWTCc59zwhL1PsKDlWHCmx5iwmbPWcKSQ1zCAO1fwkrSScIoSTfCCK4mwoLtD8JGCRHCUtYVwr2U/8ELwdPBor3awWV8isLskozCyhOJwkoEmcK4CY3CePGAwr1Ef8ICUILC6xuBwhE7vsJlTbLCvhapwrnhpMLKIp3CCrObws+VjMLJtILChYhywuqUXcKSPkvCQdU7whOSYcLcakDCUuYowmmPE8JoP/TBlsTZwSiWscANsmjBDRelwXbAycEJx7vBriKxwWowxMH7/8XBdbPYwVNAD8IUjw/CDjMNwmjBI8KDcxnCQp0HwgDFAsJkfgDCCl7ywTo28sHdedfB3QG7wSC178EF5+jBjnbcwfD+7MGSi9rBYnmNwUV5XMEF/GbBgL+2wciOosGpdrrBpQfEwcuxmMERW7XBJi5qwfmoOULWE0JCyYszQrN5LkLqRTxC6HchQnlfJUKgS+W/DtNuv3uthj9EcwTAOMVywADdTsJQFFDCzFZJwo63RsLgik/ColOMwv24jMJuD4vCrqOGwkIBisL1PunAJvEHwdMqJcFozTVBCk79QDufxEBSHLZBCsWoQWKKrUGKJ8jBJWzFwRyJtMHycLDCs0izwphDsMJS13PCkoh1wo11fcK9QsbAfCAEwNNBYsDgYRVBoBlLQeB1TUGgImpB7fBHQQZ37sHQmunBu8jZwdVPIMFLny3B61ALwXjZ8MCPXxPComwawjZRFMLNMunB5Tf/wVYz98HAN/3BJgQawUboJ8HGLzzBomUDwrnUAsKyjg3CCBAVwjjZQkGGBDpBURYowS7t+sAm1g3Bk2/hwGJESUJdsUJCKpBLQuOZF0IdlhBCxbUFQt6D70G6Zv1B5WdJQv6gTUIrElhCZc5dQs72WUKwkU5CoZZEQsZLrUHYCKpBOzS6QbOpSELVTzlCSsw/Qr4fOUIimPzB3g7xwePw78GzckJBK6wqQRAhZEFQD3xBu6CMQSByzsEg9tjBQ5jRwbsF+8FPCgTC60QCwjOFBMJex4bCKlmEwlaFgsLm+k/CEHNPwhkqRsJOyT3CXxY9wuoVUsIChljCIxFWwq7+h8LlKozCWnOJwiIHjML0I4jCDP+Iwp/EicJAQaLCC4OpwmWXpcJ6t6jCzp6iwp58LcJMXi3CMAQywhElj8KgX5DCXWyLwgJjiMIvpZJBhYt8QUJddUFNl/XBcGr2wSEbBcIuwQ7Cz7sNwn62y0GSc7NBWtm5QYVKt8GOFq3BmvS+wXBnxcGr6dDBhOHDwFCsZD37eynAJrsrQQsnWEGdYB5BDsEBQW6z0kBAAnHCggtxwjCjZcICbqbBfiy7wbDeqcHePqzBd52SwXCQt8KeZLXCg6e3wlhTjMJQRYzCgBiEwpByfMLGS3jCq3XlwRD+68E1lfbBGHdfwnjJT8JDUVnCwMVPwtiwYcJunWLBMYRJwZr0RsHQmPzAMm7RwJ3U4MAoIrbA+8/WwEhLysH9wb7B9sLHwQK7acEd9XnBrS5swcYDdcHIRu/BnQXtwTBb6cGbnNrB2mLfwcMc1sGGAM3BlSt4wZiWgMGtD3vBAB7ewRv/38ESzujBeE/ywZ3MyMBOugDByv5cwd38VcET/GrBO0VwwRH3hUJeV4dCUlCAQvjmSkIV6FBCbs1IQo1nRkLOJT9CEgFKQnmeR0J6jkJCAxx4QnqsgkIqTINCvlCIQkZ0EUIGUBRCqtwfQoSkTEK4j1ZCitxSQo1uVkKqOXzBSwV2wersW8GAhHNAWvMAQAGGkUCyL6ZAToH7QN1ShsH+1ZTB6FKTwfaUYcGzv3/B9nN9wZtvj8HFW4PCkwWCwobBfcICe1PCql1Uwl3MVMKNoFXCmhBXwu17SsK9rlHCgAFSwsINd8JmBH7C+rmBwtl1hcIbo5bCHRSawm7omsLG/ovCBU2QwrGQjMKbl4/CpS2KwoY/XsIDM1vCU6djwrJvkMI9MInCW7GQwg01kcJGiAtBoCbvQDx4sEBxEYXBrkJxwVNrksHopKDBWiOuwbYznUF2IYpB4vyFQWilVcHYxzbBCoRswamrgsGbdZPB8FzBwCPK4sCmhJnAjD7EQN04dkC7DqBAuB+nQBwlsEBklB7C/LgcwrAcF8KSZqLBo+mqwYoNl8GaVY3BhqSBwRPQzcIOn8vCH0HLwubrrMLYYa7CiiGowoYppMJdn6HC2sQywg6cL8KcUzbCy5p2wroYasKzfHLCww5swvWqdcLAZQNAQJTUQG2y0UASdp4/tuUTQFp4N0CVoZtApjGJQH8WrED7U6NADxauQH3dtEEZKqhBMymyQRCdrkHzs8BBNY3RQR3uzUHG7dtBI/v1Qbt99kFCFAlCrXD4QViKDsLO3A7CTtcHwvCd0MF+ddPBHeXLwZlPysGt5cPBKQqfwTy4k8GKSqDBDq9CwVMqO8HO9iHB7UcmwXULDMEagQLBzvIKwe3fJcDkeY3AZ58GwAg3+b/g71LCoxBawsAKUsLmNDjC/VA+whWXPcJj80fCLJ89woYpDMK9ARLCztkRwueUHMKeWSDCueMiwl4DKsLkqibCqlYrwvWPJMLPbAnCaKYSwj84EMIWzhrCQjYnwcKtUcF2wE/BmuzNwUr0z8FKrebB0L3/wQAA/sE1W+fB6IzmwX2/+sFJ3SrCOqkuwgoVLMKwzCrCTmsswqPkNMK2mjTC3QJKwl0NTsLWylDC8t5Wwni/AkLzDu1BVb7HQaaa2kEQgOdBwHUBQgrn7UHjD9I/0NSpQKogZ0CrYSVBuJhDQR3nV0GYSIdBEGlzQSjLhkGK9lRBtrT2wHhjtsDzKffAZr/3wKFqB0LdSPxBblQLQv+oLUJuih1CRBUfQrcuD0Lidh5C8iNMQidjPkIy9TxCxXrhQdqF8kH1R9hB8rbSQVLvv0GOxaxBkJewQRquVEGtVklBkj44QdK9DEEnKRdBxXvkQd561kE2GO9Bq+gjQkcyGEKqbB5CTUQWQo5eJUKjvGRCMv5kQkqgZkLANlNCvl9aQvL8SUJrTz5CaiM8QgSeL0Kw+zZCrhkVQgM+DUJ7cgpC7en8QSJmxUBcucpA9r3pQFrgpkFC0Y5Bg5SeQUogmkEaqKlB3LgJQpmsAUKXLghCi6z9QeWK+EEtjOdBpaDYQdsl30HdCN9BwH7lQQHEAUKaffdBmvbsQYWV2kH/QavBn6ObwYaep8EShajBO8SRwYYKpMH6h5vBirW0wSUeUcHWe4HBiBVQwerr0MAt0x/BEkcUwTMzS8EaHgjBu6sBwargrsCWtLZBfcOgQTtNvkFe7cNBplDUQQ5/BcI1BRTCrLAMwgUsIsJg0CXC3pAown42MMILvCvC4/LYwdLm8MGr+fHBE+8ZwlkcHMLaCBrCuTkbwqQ1FsKQqhHCYHYQwuhXxsFm98jB7dq5wWU8rcHeC53C6rOewlRhmsIuqoLCUvWDwibQgsIaDoLC3oSDwqhwYcItwmHCaABdwuRARMJqiEvCkjNJwsAQTsJ+dUTCusQ/wg4yPMIGihLCasYTwgOwDcL1pgjCVhoIwm2ZccJqu3bC6nJzwi6hgcLTHH7CcvGAwh5+gcL5UYTCg+OBwqDxgcL5qofCpguqwibTqMJeXavCKZWnwtyyq8KkJKzCoaatwgOdm8K9KJ/C1gKdwnIMnsIqYXrC3eN/wj+bgcJmNpLC8/SNwsq/ksIutpjCGYCawoOYrMKusqnC1fmuwuC4wcIltbzCZu69whupvcJYYcTCCv3JwrqhycIzksHCOmnBwlILvsI297jCTcS4wlbM08GascvB5azfwTFBF8LAsg/CezYSwkxaDcJkxRXC9gdbwuBzUMLF6lfCELtawm5aUMIugVDC4o5FwmYkUsKOoFLCeLRawiO6e8KNsn3C+jp5woCtdMLPT5BBXnhdQYb/akFgcpTATaifwPoM+sCeFCvBNistwdv4xsDS2rLAxvoRwR5AAsIyW+nB6u8BwuhSAMIuzg3C/9kVwnqEF8Idwj7CcrQ+wkXhScKg51TCsH1UwhP8qkH6DJBB2ESaQVgmp0C6/LdAhvxYQL1c3T/hUbM/9+OdvQ8xMD9OmRjAKhRMwQd2MsFisS/Bln4VwU4uKsHebBrBroo4wdfmmcFVtY3BZ/agwVaWrsHnVLXBKHMFwWJdFcF4WfbALh6TvsD9KcCCcwa/BygMPprLGEDTdEJBPJWHQdMJl0HS+WBAzdtsQH7+nj8PJD28yDUjvxQNDcBybk6/222nwJVN6sC4c+3AdiUfweTqBMHpuY/CSEKSwkGZjMITWHbCyy96wrMuc8J7MXTCpZ1swrq7JcJLfDHCxNEnwooENMKKjznC+ngzwiZHM8LDRS3CJMEowmvkKMKGRrLBZfjFwV+1rMEy+qjBbqeTwTjxmcKwUJnCWAmdwpB+n8KUTZvCyheawnDelML4tJrCld62wm6ItsInzbLCRouMwgZ2kMKwy4jCntqCwnyBgMLmi3LCEAt8wmEzPsL6zDzCdpsxwsVbJMLdECjCXqU/wYB9XcHaF4PBIyfxwbI828FiEezBAirowVvD/MEmpBrCaPQcwp73GsJE8gbCf0oQwkW7C8Le2Q7CHAMFwnp1/8GFyPnBUGwkwjhMGsK+XxvCtAwSwquNHsK1OVHBuusswb4cK8EWiP/Apm/VwFwSAcHozQXBmGEZwTp208FBWsjB0rfBwVfagsEdOY7BhV5ywcU8a8HGLM/B3SzUwf440cGj79LB80XUwcoE1sF+v9nBrQNeweplhcFgmpTBBTbKwbZyx8Gm6cvBGlDOwT8EKMFqGCPB3h9KwdXWL8FnXkTBjpBJwTVPcUJGemxCQutlQg02TkKoW1BCGDhOQgU2TkLHCT9CYUxDQkgVQkIdTUhCiyNYQhDQV0K9t2VCC0ZxQmI4F0KmpiFCxQodQuXIL0JYjCxCY2c8QuIkRkKGrSrBvFUmwRO08sC61yM/C+izv4v59T/CgTJAGrmjQGNoLcEVqVXB9K0pwUteAMGaVSfBxYQnwfEdPcEYZmDCMhxgwlMQW8IH60vCa1dPwiemS8KNHE3CNmlKwt2JScJw1FHCFoFRwpU1W8KdrV3Cqz9gwi2gZcKm55PCmsiXwiZ3k8IyiInCjj+NwoA4isIsXovCq8iHwlsDasLw82zCk7F0wrvNjcK22ojCkmyPwtz2j8KzMgu+Zzi9v003TcDWeDHBFNIVwbVsR8HbM17BzlxzwZ3YkUEO6nVBUihZQWa3CT69CfM/kvqGwKII+cBu5h7Bad8dQaqi4UACqDZBDxmJQVs8aEH6nG9BRsM+QTOsb0E6pALCPGYAwuiX8cFrLbzBnrvKwQhHt8F7N7HBTReowV4WxcJnY8TCdPvBwrcWuMLoELvChLy1wq4gs8Jg8K/Cm+RbwmoRXMJd4GHCxh15wkJOcMKmQ3rCE396wqt+gsIGDhW/zEGAQO6bJ0By3hs/WssFQOLcQz+zOoY+GjGyvSaFlEBoI/FAopwIQeNplUFLrYdBLq2nQRC6sEEig8JBosLVQaoex0EG35RBJjqvQZKNpEFO/bRBxAOfQTZw9sGmovDBKj/uwaLN2sHKBt7BEnjZwVNQ2sGAjtbBvJaIwYCrjMF1l3TBb9cswQgfR8EwDDfBgHNGwUoHLcFrPybBq10WwfLhoMBy+czASyWJwAtwbcDaZTjCcw49wgDANcJwNyfCEy4wwgdeK8L4sC3C2sMmwv3RBMI+Wg3CvPoLwmzLDMK/QxHCDSoSwtoSFcIx/xHCXa0RwiW/C8KDE/3BlhMCwjYG/cGwOwDCoCISwWpmN8HW5C/BIOpwwSA+fMFVa5HBWCOpwQKfpsGQZAvCNAUPwirUC8J6aQjCg7EFwgIkEMLeXhnCPMcdwpMsKMJm2CDCQdYowoPTLcKlnDTCXeg8wlUupkEhLJFB3XFgQY7qgkG1pIFB86uYQStzhUG+tpPAQKQ4vxCBMMDzK2C/qGCtP6KbJ0Ce9rxAa6ZSQGtFcEC4XE293aC/wIL1hMD8YcrAZoHewGrFLUJeszBCNms0QquMOELIhzZCZDYuQv/hKULaLCxCTtM4QvO0MEJjXSlC0+MDQt7CDEKDngBCMjr3Qaaf50E+HcRBgKvPQbZovUEKEa9B3eKkQQhwikHKzpdBOjMnQugBIEI2OS1CErxEQgDpNULq/jhCOAkrQuCgP0IgtYlCqAeHQhcsh0JT7VpCGkxtQkJkXEL9alhC8rFMQqw4QEIqO0FCSa81QqqjMkIgcy1CMjUlQr6yQUFgpTBBMx5pQQaJnkF00JFBXkmfQc2AoEGCmK5BTbktQtLwI0JJaipCmeshQo/IIkKTkx9CtCQbQrb0GUIqQRJCKrAYQrVCLkL/Wx5CYKglQnqPGUJ9TuvBiFXbwdid68EL19HBNjXRwdZjxMEnfbjBflbGwSDRMr9CIiPA9U9tPpVA2kBsbR5AeL5rQIviQT/wGqFAhgbBQLDSEUEWBJNBbkiCQarlm0GgoKRBBPewQVAl7MHQ7wHC1az4weAgBsJPWwzCzCsOwjOfEsJ+fQ/CQknowfu49sFqw/3BZvUNwrVgD8IKhxLCmAUWwos/EcKmwQzCGaQLwqAVAsKebQHCWNn2wRKE58H61Y/CpvSOwroDjcIOYYTCIi+Iwms6hcJK8IPCYyaCwlWAWsL7F1XCtXdVwpjMQ8I+00fCG6lAwtlhQMLVwTvC7E83woh2N8LKMy3CbyItwrZLJsIKxCDCOvIewgqgYsLlr2fCoDNkwj1WZsIb+GnC8LFuwjB2esJewHbCjpqPwvjKk8IEIJPCcr+Xwu1LmcJWz5vC4rOewg+im8LJc5vCKF+ZwmHGkcI0H5TCvXuRwru7k8LS4YDCZWaFwgQ8hsKgNJPCkLCSwqTZlsJ6KpjCSW2ZwrZtscKJoK/CALWuwtmNs8L6pLTCpTO5wngFv8KuXrzCuUjAwhvGusI2KLDCQYG2wibos8IDsrjCMO2xwhIFD8K9pg3C28UWwowkKcLCzSHCsHYlwpqAIMLG4yXC0w90wvMwa8J9P3bC5rGEwtW5dsJ4IXrCnf1uwjtNfcL+fH3CpamHwjymgsIKsobCvP6AwvZ6f8JsUJlB5VV6QU52fEEushBBBo8NQV/+s0B1RBVAnBMlQGpTnsEz2pvBsz+0wdOQ+8FaWOXBMkb/wXZiAcIgKAzCJNUWwtWHFMLKOCHCDmoiwiIfKcIslDDCIss0wnQ/xEFOqbNBq8iwQRJ3cUE6FnNBmhIuQWs0B0GBNQxBc9lcwWYHTMF+BnXBG1Sbwc7akcGYqY7BgGyBwXFNjsFzGozBJmebwRJrxME4Q7LBBtC6wYEjrsEZ8MLBRueXPDpzcb5z2QhAFe/6QGq8ukCaDdpAIfgvQNtG30C7pINBzxqqQQnapEFeYG9BVdGNQaULSUHz2hVBa0PwQI+/kECX9MdA5n1cQAB8V0DF4DY/JV/Zv4ZVeL8rB4HC9oCDwgCpg8L9m3XCvSV/wiBJfMKVvH7CCjt4wm3W78HKsAXCik71wSIM9MEjvwPCCesLwlszG8LmCxHCBWcSwq+cAcIjD7PBClHNwQLftsGqibbBMmihwRVaqsLeaajC0S2rwpBns8LO6a7C3W2xwgRIrMI+OLHCeP6iwoQFpMImPp/CV3qPwhIQl8JFQJDCkpeQwigeisJeooXCvnCFwr2OZ8J6kW3CbcVcwgADU8KwzE/C9AmtwbcftsGI1cXBg5z4waao58GDb/rBO0P5wUJPBcJTJjPCeLwgwl5ILcJ3Yy/CQh8gwkoHGsI3nAjC3hcXwqo2FcJyZyfCLeI/wgqFNMKCQDnCUz0ywuMuPcJVZivBfUYAwc5bGMFBOb7AuI6GwC7947+rpg9A5Rw2v6MTscDfv8TAaWSrwNNyisDllZLAPJRIwEM747/tTr6/ljgSvgPia7/OSdi/LY1bv77TFj7GMwdA2s+KPyuyqMFqv5nBsqaUwa60psHLaJvB4bifwbmOm8HNx6DBZqWswdr0scF+iKTBmJOPwTX7mcFatpnBtt6hwdoTmsHSRJjBzqKPwSpAbcEYa3fB41tTwf6+P8EtBPDBVY33wQPW68FmF+XBM1fkwdAf48Ew/u/BRp3kwcBg4sG92+bBsmTpwRiH5sGztu3Bi2zjwTpG5MFWJt7BIF/rwXYb18E+/7HBTFzBwat3tMGgEMPB8yBkwWJHd8F07YHB5FGSwdeAj8GSk6XB0K++wUcIx8HnWLzBQl6zwSh7x8HK5uPBOgrXwcsO5sF+S+fBeBX2wclsAcIAsP7Bygf6wdNMAMJCjvXBiuvvwe0mMkBYh9E95tZ9wJV6qb8uBhzAjfl6v4OnccBmQDPBX6gewVjrLME+YTLB0CscwSNKEMHm79HAyCYDwRBQ5cAmaSXBQtlgwZ4vQcGLqlLBlpxAwYgFd0K2+mxCWDp4QpX8gUIO1XpCC9Z4Qu1naUKLwXRC/b1nQuMCdEI452pCNXpoQjZqcUIChW1CWLJrQqBKZEIVgVZCG0NbQnhsQkLbC0ZCYAM7QmaHMUK8sS9CXSBfQhW7YEIQ5VlCJjNJQoIBTEKiSlBCft1aQvbJW0Lz001C/7hLQjOhWUIN/IFCTo12Ql2ggELqOHxCaAqDQrqLhUL/sIJC5jOIQoo9h0ICbINCizl4Qtse5kFmRuhBJvr7Qdp4EkLWTA1CBdkSQohoEUKlmRhCRsQ5Qjy/NkLr2kBCqxdBQqz1N0KGPjNCY4EoQs2wMEIKpC9Cr6s6QiX0VEKY/VNCJkRZQkqeWEKFytbBZejSwf6YvMEWfWvB6zeIwd3xY8HeXV3BB2NKwUDWC8H76i7Bte7XwCC69797hYvAtSVywOb6rMBSGE3AbggdwK2tLr8aJ+tAdviwQADmBkG6NxdBoLozQV3YsMGy27vB5CKywbUvpcGAt7DBJ9WzwVhFwcGKurbBknKLwSiimsFK5pXBuu6qwcTqpcFjDK/Bbo+2wdmIucGuu8rBBjPBwfqewMFYf9HBs6zUwRYh5ME1yoLCOiWAwoNIfsLmR3jCeI12wk19csKV12vCdtNuwuoSYcK9MGrCxi9iwrCoXcLivGXCGBVnwkCEaMJ4BmbCIAZkwjU+YMLw61fCg+9bwp1dWcJoPlnCI7pVwisKS8Iqe1HCUPdPwkN3XsLWd13CYlNkwnvlb8KWDW3CMAdhwpZjYcJ9D2jCjoqBwjISesIRXoLCGf2Bwj7ChsItuInCOIiIwrKGg8LqooXCCMGEwj0PhsLIM5LCwJ+Pwg9fksIeUpjC7E2Wwhsfm8IH86DCAtOgwqEumsJf/pzCS06bwpPGm8Kw453ChYKhwvqlpcIbnKTCmW+pwhLjocI4JZTCaj6bwsY2l8IAwJrC1/uSwtZyPMKWQTrCgvM+wtvbWMKCgFDCcw9awiM1W8KaZ2LC0kRvwiBKaMIIfnDCC8l3wsCWcMLNlG/C0xRpwq68b8KDGHHCbmR5wkvvkcK0O4zCZVuSwqSiksLCgGFBjXA+QbT8LUFW+ktAazqKQLrSdz+e+Ju/pgMcwLbzb8D6Asy/cDukwNscQMHeoQvB76gswYKBFsE2Ck7B4qxwwcfCgcE6sr3BxbSzwXCWycFoHdfBmI7fwWCa2UFuX8JBroK7QcboU0F683RBN1YhQVvBuUB7dotATULuQEKyF0GSrjdAXqzFwOrxp7+V5JLAJoBdwHAe+cBC/yLBjhY5wcM6nsGy7Y7BJU6iwVu9psEudbDBKKwwwfZZBcH8mQ7BGn6mwPJzkMCdtAnA7T77P2osKz5Zk5k/zm4MwLb7Sr8nNDpAdY1IP9MTaEDkz5tACuXdQJUgIEGyfQRB0MDmQJQZCkHKk/xAVZkKQVqE2EAynzvCfDw+wuWmMMKIxxrCVo4jwtr3H8K1/iPCKPgXwlqN88HnOgPCoCHuwXX6z8EK7ufBnarqwX9zA8ISxe7BCibtwba71cECSonBnbGjweo7lMHnAZ3BqiGEwdg/wcK7CcDCSKXCwj3mxMKt/sXCfsbBwrMqvsLgEr7C+bjDwipUw8ICkb7CLJKwwvgNtMJ71bHCWvmywnGyrcLPn6jCBX2mwlArnsLeY57C6SibwraGl8IwS5XCCdAOwhzwD8JIGBfCJZ8nwroEIcJN0SPCSBQgwrXgJsKwgFfCBvZOwnAJVcKNZ1LCU/FMwrJJR8K8njvCDVJBwlFdO8LPBUjCSJtdwo0UUsJD6FrCENhawqZxacIu2qs/4kGVQMAqp0DCIP5A9V/5QIAO00BpjLZAchW/QGq64ED1PgBBKe/JQJJQlEDenKJAfv2aQPMxnkBdhq9APTrbQJNl0UDS8yRBSPkwQe11V0G5wYNBbt56QZ3l676IyFQ7bsaMP7S4hECA9e4/gjc1QI7Svz9mV4NA4ME2QU4FGUHzSj9BWnpVQctkOUEX3ShBWpP9QJamIEHBBSFBIGNSQT5wnUFmmItBj0WgQTLapEFaXLRB2sbDQZahxUFaafBBFXfsQaaO8EGalPdBTob0QZ7K8EF+6+dBg7H2QamUD0KkkQpCGkQNQidCBULv/QpC0kkOQtLLDUL5fBRC3n8LQhPZEEKK8xJCHmQaQrKmK8JEkizCJn8lwrslDsJCqhXCfc0OwoATDsKonAnCG9btwYpb+cEtWPDBGPXmwQD388G4b/PBMJT8weq+7sFYfOnBMLvjwTlPysErstPBjaXHwTJ0yMFbubvBMnSGwab7nsGWbYjBgESHwWGyl8HdL6HBkQ/BwRcUp8FZj47BM4yTwXxNhsEjPGjBbZxxwVFjjMHDyKPBssKgwbq9qsF1PZ7BfESFwSi/lsGQw5XBNhemwZv4lcHClJ7BdluLwTI2D8GWpVPBAsMmwb4oSsFa2gnBMzwbwRFQIsHiixjB6lz8wIS5D8Gq4wPBcD7twHpN78DC/gTBo3nswHlLAsDCuYDAQvDWv7rsuL8WNXPC4It/wnK6dsLbwm7CvSp2whOMcMKraHDCUGtrws5kQ8K2KkvCe4lIwsZBWMJNN1rCDnFjwn3yZ8IKJGfCUsplwmYBY8IqrlPCWF9WwrirUcINlFDCG+VOwqLVCsIGuRHCA4oPwiHyFcLybhfCJWcawrtuIcLNnB/CPt8UwjLCFMId0xjCGpEnwqZbIsL8MyjCqgsrwipwLcLbFTbCkuQywj5wQMJLBkTClcZCwoJfRMKGEkHCdP5Cwr3EPsIiUDfCMt85wqIcOMJ1MDzCuLs2whPDFsIvvh3CQxIbwn4fJsLTECjCFpouwkZVNcI+GzXCGqo6wqomM8K0hiXC5ykuwvFNLcKXKDXCgOYUwcLmQ8Gy4kbBqGWfwUC0l8FqGa/BZpq4wYCju8HVyZHBcJWYwWYTq8FmMtfB+9bJwfhT18GOmtfBVeHqwf05/8EzsQDC4hoYwl+xFMJFRBzCGtEhwuIhI8KoRYXBdgB7wZuRj8GCDN3BZNrAwSIp1sGoPtHB5qLowYZwFsKO6BDCk3cZwsY6LcL/px/CHGkfwsaADsJ2VB7CHAQcwsvpKcIAHirCEoYqwmaQKcIgyinC07Ivwu7mNsL/eTfC0YxGwoopRMIqPk7C2stUwuicWMJA9z/CnypFwqa0SsLAoVrCCgRcwjaKYML612LCczNhwt5eYsIyA2DCeO5jwja0ZcJAy2vCOjl0wlRIJkIbWiJCG4oUQoKlH0Lwch5CqEIpQpkeHUKao8JBrvjaQQ3+1EF+zAJCBDsCQqcwD0IPAhxCxRUeQsAgKkLQbSFC5esIQr77FkIxPw9CLagWQhKHCEKaecxA/GMcQTs8AUFPjC9B+Ac7QfOHWkHiDIJBPUl9QTvQvkBbCexAN00XQXVHhUGu0H5BjGKYQX6ap0Gx2rlBGFvQQcYVwEGatcRBHpfTQVsc3kHARvZBZoDeQaAy2UHqtslBzaOGQZvdlUE9RHpBUHpsQb4iTEHSxF9AGsr5QMNQZ0AmheE/YK2EQD+khUB68tdACwSSQGKLkkD4ER5AduLQwMvbRcDCr8TAzpHCwLDmqUHGK5ZBcrSxQaKq30Ee5sNBCgvNQQCSt0Ha8tZBFEMjQtISFELmgRZC43AJQoZFCEKgQP1Bg5TkQS0/5kE3CsxBy9zlQZp+7kFIrOBBHWDZQTZUw0FoeNBBE1BZQoMkT0KgFE9CvUs1QiJpOUIw3S5C99kpQhQbJkKOZyRCpeInQiioG0KLOgZChkMQQpR6DEK2GBRChYYKQgVZDkJKpANCEgjTQUYO6UFypdRBSmDDQaIfv0E6l6hBPDSxQZ6qi0HfyIpB5clzQRDPU0FGFllB4NeYQWq6kEFo/IJBiJQwQSymSEFuoStB5pkjQdvh/kDIraRAwJO8QOfdSUDRjBVAWvNXP6Dlx79ZIhy/WP7GQXfVvkE787lBD3jGQUpcs0GykMJBBqy9QRVW30FABBFC72sGQrZnDELWKgpCEjAJQvIiBEIYfQBCMqv6QUYi6kH4S/pBDsELQrY1AEIL2QNC9h3zQQDaBUKmdGFCgjZkQm6TXkJlk3hC9YV2Qg2daULTOVNCq+9YQm0pd0JFFHBC23F6QnKNVEJ77V1CMPJNQkJ4RkI8ZD5CmbcwQkBGNkKt/CdCIqYhQr9JG0KnjQ1CgzsSQtitBkLDSxFCsrgUQtNBCkIswwVCcJHkQY3w/kGHVylC0RgmQlavHUKyo/1BrtUGQmIP90Hl5OpBw1vdQeD0xEHWmtFB0dLJQWVKu0FKt7JBKv2YQdb94UBbueBAjW7QQAqv4kBbXN1A84YBQeZoEEGNMhZBPv0wQTOnK0GWnEBBwBZhQaZmQEEggk5BOGdEQeLOZUHO+GJBPtp+QXwIj0FExoVBWjCKQf95i0GpwZFBJmrmQR1l10H9teFBGjnlQe3o3UEmcdlB9ofWQTqX20FdHBVC1U8MQqpdDEIV8/NB2OkAQn7Z5UHD9dpBMEvNQWEst0F+lr9BzxHFQTdbukEG3LhB9i+qQSYBtEG61K5BKiS9QVBz10EWNM5BYETWQT7m1EG+qOJBGhICQiXn90HAMP9BIKT3Qcaf+0HoSPlB6lz1QQas9UFQO+1BMvrvQZ5xzEETQ9dBUwbNQQIO0EHJ8J3BhRCXwTLZjMGtFnLBjXdgweXITsHYXi3BOy1GwWs0usFrS6XBiGSnwQjsYsFqhXbBLxFKwVrvKMGSuh3BmwHMwDk3G8E3VIPBK2xEwcrYZMGsDzzBDVB+waudzcFz+NvBSLnOwQ37vMGN78rBt3bGwRbpzMH+uMHBq+wRwVdBRMESHD7BBmiNwfRNlMGFFaXBVru5wa06tsEiBbvBIwqwwW5WisG4jZvBEtmOwSbhiMFyNILBZpdrwYMQbMFqvfnAInApwavb8sAWrOTA4uCIwIjr8UAOvDlAEkEAQWObT0HTfQpBTkwOQS7WikAK1BNBe/QVQYPqW0F5tMZBOoizQX0ixUGgwMJBKvvOQX/dLcJIOTrCTsoxwqZ8MMJfdznCKkw7wrKrRMK7Xz3CksAVwosSGsJmqx3C1mstwvRRLMKsaTTC3K4+wv1iPsKkz0jC3V49wlCwO8JeoD7CXs0+wkumQsJC2DvC/gXTwSs34sENGunBbpMGwk4JBsIVzgrCcuIRwkPCEMJFZBHCQ4wPwmZmEsIKNCDCYqEawuunIcJGUyLCyMUowqDVLcKlyCvCfQ8jwiYmKcL2UifCZ2Etws4QJMLYsyTCjGkcwiU2CMLNYQ3CNVYGwk3eCMLeLgDCz6AAwgd+AsLoTPXBmtzPwY3w3cHdctXBXZ3lwTOx2cGqzubBkxbOwe3FosEmPLfBKhCqwQ0vssFisKjCFc6swi78qcJP95rC9oCgwpkSmcJOX5fCPZyTwlvhjsJO/JDCHZaOwnLghcI1fYnC9tWGwtu9iMJ+moPCf/WAwmbyfsLzzHnCZhN2whhOdsIAo3fCQ855wrqudsLgb3fC/XJywjqHZ8J9o23CvbFswmPVcsK+cWzCo8BRwh6tVsKSPVPC5gRbwuC8XMIrJ2TCextvwsW8bsJVPn3C1jxtwjMMWsLQPmfC8CBgwvXxaMI1jVjC9uFPwlouS8ItxDXCLeQ3wnQoMcJIfynCsEIpwnDEKsLj8SvCDoklwumtF8JYkh7CUjEZwl4rG8J+LxXCj24QwvcwD8JYd/7BblwAwsPj78GDTuPBcurfwTN4g8LnfobC4aaDwhLpgsKPQ4TCLv2BwqDKgcK+B4DC86F0wgjTd8LD+HzCSpN4wpYmesKe83jCjdV7whZDfsJ2QIPCYvyAwunVhcLypYXC5nOJwtrvjcJPv43C2Lpfws1YYcKw/mjC016Cwn17esJuzILCymiDwi5+iMLYaJvCCFCWwvjEnMLVZJzCW5uYwl6wlMIVOo/C3V2Qwt1/jMKFXZLCwuGdwpYymMKjsZrCIdyYwgsHnsKaHqHCzemgwhR3rsIRXarCFr2wwkiNtMImlbXCq82jwnZhqsLV9abCuFimwk7kqsIo2KrC5aivwoYZqsJ26qvCJgmmwv+NosLSAaPCf/akwqAEqcLaynjCuNWBwmjSgMInqoTCbmuFwlKJh8K9eo7Cc2mKwl7yjMJGLonCJUSKwm9BiMLLIIXC1umKwsQ3kMKOWZTCk6mdwnshm8LBKqbCRFinwp+PrMIKtLLCq3KywuqslcLbnpXCrQicwjaOosL2l57CQraewqVVnMJJX6DC1tiwwvZ1r8KT/LTCZ8OywsEpssLjb63CYQCpwhANrMIZd6vCnRSwwkqSwsLmm7zCKjbCwo4KwMJDFcXC4LjEwiRAyMIG6c/CCDLOwhZu0MK1ctDCUmLRwijMyMInm8vCuUHKwqVFxcLe38jC0AfKwlarzMKanMnC2GPHwoWbw8IeKrPC66a3wpqlscJ1wbHCsdGswrIPhcGwznPBqqOOwbDQtME44aDBqhuqwTqCn8H6SbXBoB4HwpJ2+MFqxgHChYb4wQoS7MHwtuLBPWjPwVOq28H+fNbBUkTpweCTBMLWZPnB+FcBwnKf/8FKrwnCVeA0wiy6McJjKjXCwchEwh/XOcKQ6jvC6kEuwlsRO8I1ZVbCaitSwmv5T8LYD0DCUlpDwtv3OcIx5DPC1novwgxuKMKq9SrCcKgxwvChJcJtsiXCbkQawq0UKMI6TifCI/w0wu32VcJW1EzCZXtWwsYSU8JwC1jCVal6wpMna8Ld83nCfSGCwtg4ecJVgHjCrQxlwnNqd8IA13XCYlp+wj1Xb8Jz2G3Cm3hwwmWBdcLNLE9BHNoFQc69G0EWcZBAqvVMQBig1j673DXAPaXOv8bU+0DSuOhAyr2AQK0Rk8CYDx3AECCSwK5Lq8AGwgLBbnpSwRsROMHSZ4zBJL2PwbOxpcFMIrzBpDG9wRv1+kDvYgpBKGKgQPlAlMCQq5K/VRuLwDJqgsBGF/DAW6qaweYOfMFIpZfBZfGuwRckk8G3hJHBusJoweMskcHawpHBlO2rwfuF98FTuN7BM031wc2R8cHKhwHC3fUEwla9BsLeLSLCGcMbwmAnJ8LnCSrCQgIvwhcJKsIIPynClokxwhPFQMJdgD3CpU1AwphzPsLKwkLCEHVLwnVUT8K4l2zCMntowgAcb8JDq3DCg750wlIvrEE2pKpB/9KjQf4LikEuPY9B5BGDQTr1dUHSLW5BM8BwQXBSYEFKnT5BPfHjQLa5JEFkkwFBdj8OQZJUrUAQ7ItAI39eQCL8NT4l/qc/NmAjPzHRRUBS9UY+CEeTQXfWlEEL3G9BVF4RQIxDwkB2zz5AqB1gQHuUPz8SvCLB49jrwGooGcFrtxPBo6ECwYvI3MC2fyHAyf6ZwKUfL8DfhsHARvrXwCpLxsDvOaDAw56BvwPP0r8GtL4/G0MOwJoes8BuhoTAknOuwMZ2ucAauN7AuBV5weIGVMGOSGDBYFtlwaL4N8EgaErBc949wejAaMG4Pl3BXB+FwXy6u8FC6abBveC5wc6htsHWVsnBLmeGwQT8k8G3OYXBFtpdwbCffMFuhmzBvuaAwaULXcEy24bAmw/RwNLvwsCdJu/ADRsKwSSNG8Gu9TnBgfAlwQYJLMGArgLBmyR2wEr6uMBT+O3AcnMzweepGMGuPUU/AEl3QMpa60BGx4lBLil8QTLgWEFBHg9BMv0XQXncpUEG9J9BalCDQSgKy0AeSyxBhJEGQaZ0CUGe8bFAgNhFQFN7fD9YD6HAJOq1wL0OBcEdiivBhNAswZG+S8EyEyDBBvkNwZ/ZLsHefEjBqzOCwfp3X8EOXK2/+zFiwDjGp8B4NhrB43URwXzDHsGDqDnBpjArwUOWRcEbHi3BIBRzwVDcZsHmAYvBjb6TwQbNlMF+BqnCPIurwqmhpMJTiZfCX12ewr5Zm8L7BJ/C0oqXwm5Wh8J2TYnCtAuHwrsFhsK1Y4jCKEyMwiKGksI2M5LCVuSVwmo4kMJbf3rCETqGwvKJf8L+coPC8Hd1wkJlQsIzNk3CGllGwmUYTsLQL1TCXRhfwpicb8L9tmrCRmwhws/aKsLyyC/CklhLwjDXUsKy01bC42djwgB8WcIyXFzCxq5Twt7aQcItZk/CKthPwiY4X8KgYFDCJhtUwnZYRMKDXSbCxNUwwsPdKcIWcDDC98AjwvQWC8JPXBLChvUHwoDE9MF28gPCaZoEwjwWEsKGrgfCMvMLwnCS+8G2IazBzm/MwbNQs8EVnLrBQmicwXIdisK2F4jCgkGNwqO/lMLAt5DCUK+Qws6qi8IpX47CSDWiwvGwncIc5J3CaGSPwhBOkcJfp4nC4iCGwoLfg8KwVH7CBmyDwvRhjML+84fCFmmHwoV4gcItp4bCd23DwpIFwcKsTMHC2kGyworttMI6jq/Cl2etwiCEqcKmPaTCoz2nwkO/osKzx5fCJoacwqvmmcLARp3CqL+XwlBUlcJy/JDCuhBzwhJTgMJz6njCbfl8wpKycsJ6jWjCwN1nwj3TW8KTiFXCWwxQwk4URMJd6EjC3YB1wk3zb8JDJmfCvgk1wrquQsImXDTC5Qk0wiY+KMIaCB7Cwl0cwoaEBcKRdwPCRr/zwRNW48GChuvBIPtmv5utd79WkZbAzwSIwfOdW8E4HY/BlFWXwUsWqcEMr8jBgcTBwWaDzsG6isDBGC/EwfYjusG2GbXBVMy1wQ/FusGqZL7BW2vdwXZ+y8EbtdjBnd7RwWLp4sFOoRLCKgkNwjITE8KquxjC0msSwm5jEcKmuQ7CfsoQwqU2FMIeMB3CThwcwhqVHcKgVB7CtW4Zwt5bEcKP9Q/CQNcEwh3+DcLQpw7CgysLwtzqB8LgRfvB8TQCwvNk98G+7gDC2ODlwXLS5sHzjtbBREPHwXnMxsEURBHCYPv0wX0QDsKmPgnCxrcEwlC7/8EA6OPBxjv2wfLa6sHwP/rBwqP7wYI+6cHKSOnBbvPWwQqx68G272jBRic1wZYVSsHxnyTBEC4SwWvVycHeprnBmgiwwfCWksFwiM3BKkbQwbNdy8FGyszBHcaDwTXnosEyRKzBLqXDwUrjG8EiIy/BpVJawYaeV0I9BF1CSvFQQpICS0J5akBCQUA4QpOcREKe+D9Cd4RKQjD6FUJhqRxCFE4gQgiPKkLYQ7PA86OWwG1xMMDwTcW+vsQ+QBqLw8B96ADBI7i4wORft8B9zljCBg5Xwvb1U8JbxU3Clj1JwlKCScJ691DColZQwmawVcKq3I/CCoSPwgamjcJLaIrC2WiHwkqGeMIt7n3C+eGEwsJLjMJe2mbAOeObwJWt0MBPNRvB76hMwco1bkHYhjpB3modQRjck0CYH8C/DnKaQe02hEFjCKBBrnqZQcKJkUGewObBNt3gwfBN08GSHMHBzn6uwbZ4usLiX7zCnJ22whmFtsIfubPCgP9lwsadZ8ItQW7CiG53wvY5gcLVKVTAOPhxPwW8H7/ifB0/nrxdvksF10A9ZCJBWoA/QQgcf0Gmz5lBSCWwQWzjkEEReoRBqgx7QdaC+MHCCO/BTgjvweu54cGoddHBdY9ZwT2yVcFYkkHB2jorwdgFGMFRkQrBs+YCwQpayMDKKCXCqzMtwuLLI8LDACLCmjYfwi5p+8G4CwnCiJoEwmIQB8Jv0gbCklEGwrooAsJTy/3Bpv4CwcKyKMHLySLBUoNFwQseasE6YPrBg68AwkZN9sFm0QPCCRgRwvTJG8KIvxfCyiMewvWFfkEecVxBUD1KQf5IRUFiM/PAkZSQwOg+xcCxOYzA/V5QwOEMM8C+6JnAg/HDwGJLOUK8GThCrmI8QvJlP0I85z1C26EnQjM8IELUtxhC0sUJQr6c9EHT89tBHpzkQdZo1EEZCcpBBCE7QkJrOkKGqkNC8+ZLQu1PVELDdX5C+nJ/Qjtwa0IIOVtCEKtNQruwQ0KQokVCLR49QvZXi0Em6ohBTg+ZQT4JpEGxWbBBYgY6QoAILkKyVTJC05oqQgumI0LbTh5CbIgoQnN0M0IiIADCEmXzwc0Q88FbCOLB7cHYwQiJx0Boc3pA9vbyQHVeD0GTtCdBBdM6QY2/XkG6OIhBqgqfQS5C3cHoVuzBZhXjwVB+8MFeev7BM6b2waKoAsI1XgTCMmUJwvS3C8LGmgrCwlQIwp6WBMJJPo7C8xGNwjn1iMKeSITCnjiBwnqdXMIwc1XCADxUwmUGSsIFbT7CgNE2wtX8OMJeXzXC8u0twgWJWcLOK2DCLkBcwmPsX8Kw0GPCA9uMwrbSkMLZN4/C1+SRwjmulcK9rpfCLNWSwtI2kMKz7oPC0wuHwh4ziMICQ47C+gaUwp8OrMIlGa/CLpOtwrumrsIO87HCAhC2wiYgr8ICRazCvq2pwh/5IMJtUR/CjQQnwgOQK8KDAS7CgCmIwiJngcKaVYrCcpuMwk3ujcIS3o3C+uqLwpg6hcLis5lBgNl/QdhHgUEqR01B3QgUQUdCzMGSG8zBrVjiwRb/98EZMgjCxSESwmU8EMKWdBjCpl0hwmqNxkEY+q9Bc4+xQfYxmUF+D4BBDgqVwZcNjcGVoZ7BDbqkwVNGp8E4lqnB2uG2wZjtxsHab9bBAwhWvzgxXECrUiJAzn6zQKZ0DUHNpG5Bph2aQeNOh0GtmHBBTYE6Qa3iAUFDuxBB1SS6QN24LEBTToDCRnWCwop4fcJC5XHC+INpwlslyMG9euHBMnDMwdVR1cEwnN3BvSTkweJ9x8G+hK7BVbGXwaBFsMKapq7CVQyywp7ss8LZJrfCvtKZwg0fm8KKipTCBpuNwi6hh8Jf+YLCbfl/wh6iccIAl2LCE1rKwTVb0cFQMd7BmiXzwVCtA8JGSUHCdls3wkYrQ8IYXT/Cbi84wiksM8IGxD/CuH1HwtNVTcKmY1vBahAuwSZCQMHuQBfB2JrgwA3gyMCNw7nA3yjIwMusq8Bd+nrA5V0UwCDrf8DIhHLAitkqwIC9q8HWHZ7BqcKvwWMassEB867BDsGKwW3clMFaOIfBwwGGwfXHhsGl24jBmgiBwfrpe8EVvvPBQv3swbOY7MGCaOfBzb3owehy5sFb3OrBM/fmwS4w48HwgdrBssvMwfouzMF1yr3Bgy96wV4ohcGcmIPBuP2GwYYzmcHyds3Bw5/OwWLG1cHz6+HB/T/vwQqV+sF7cvbBeDL5wZrZ87878nfADGOjwHCzysDK1EHB2/Q4wZ+4RcE0A0nBHtNIwY9rQ8EORFzBKE9rwUeRh0JZpIJCa9CHQufYhUJ+aIJCw4lXQrAWY0KV8lpC9nhcQkYpXUKCTllCrVBRQhwPRUJEyzhCzuRRQrB1U0LbC05CuSlKQqINTUJAe3FC0KZsQqL2fkLfYoJCSyyCQupugkK+xYZCDuWJQiXFBEJF+QZCH4MKQioYE0J0LR5C68JKQjWuRkLODVBC6j1RQl0EUULaXE5CWrBaQs3aVEJM66XBjhujwf4MjMHGTHDBgh1VwXVZsr9YOVnAltfpvvGnAT7noDA/IbeJPwkSP0AOrL9A/TEZQY4smMFS6aXBJsSbwSqTnMEu9pvBOv1wwWYhjcFXdoXB292YwTa7rcEKc73BWsqswbqTp8FA2YHCOuZ/wvQYgcIT+X/C6916wpO2VcLzG1vCBZxWwhMDV8LWfFjCxhxbwm6XVsLDbVbCGldXwjU5ScLdYE/CgI9QwgAkWMLTHGDC6rVswsPpbsIKnXbCTKKAwsn+hMKe/obC/0eGwkQShMIoiZbCfouVwoJFmMLbzpnCAW2bwhD5k8LGrZjC1rSUwl4ulcJF+JjCOMabwqzLlcK5A5LClmGNwkYFSsKeJ0nCg61TwtWnWcIaYWHCUjKCws0je8JLmIHCYmCBwl+1gcKGZoLCDH+KwprokcLiJUVBgXQeQQA1DUGpEadAYkLuP7E7LMELiQ3BPSFDwc1DWMGiVnbBr+2LwXLJlcH036/Bmh/KwQjNuEHllatBPl6VQThNeEHyCzxB/90owC6gjL+FqLTAVKgQwfKQNcHIZU/BUo9pwRD+kcEtk63BjdUewdCID8EZXwbBlQ/ZwF4spMB+FXZARSYqP/baEUDO6TJAfjiTQC4f3EAz+LJAQIK7QLj/s0B6QCfChicmwvieH8IquhnCcjEVwoZkycHI0dfBKqzAwZ6bucFP6bfBIGe4waimoMH2J4bBsIBZwU4bycLyGsbC6ojJws2ayMKUjsTC6E65wt6kucLOkbXCShywwoVgqsKGp6TCtGukwhi/oMI+d5vCqfYgwibjHsIzBSfCTD0rwqAkL8ImD2TCwgtawv3oYMLYdV3CWvdZwtuqVcKA/WDCWupjwrJnacLsX7w/Jqm2QPyRyUA3lAxBf44BQXKLGkBAO45AOFI+QKU0akBz949AUMLFQI7Ss0C9K/BAFu4ZQb3gfEAzHCJAJqOBQHNpkkBMYr9ABMWOQQUNZ0FR8Y5B8L6GQc3bfEE4Un1BFyyTQe9mpEE+DLhBUnTMQQAR00E40+RBlgDuQUNp4kFzNvlBuHT2QfXHBkJuVxNClsISQoZQFUJSsRZCHncYQk+EIMJloyDCaGsawu5iDsLeugjCw6Xfwa566MGOed3Bm0vbwes53MGmuNzBTVfTwTVxysEA2r7BoNOFwdL/e8ES04PBHhiEwR2BhMFg6WzBbp1wweZWVsHDGUPB7vRewRqxicFGmlfB/TNUwRVdVcEGDWfB9UElwSzvAsHQLtzAakbbwJrBAcHmU83A6vXDwGrtwMBT7cLAtuJ9wG32B8DjQ2LCsgdtwo1hY8JYrmTCQlZkwuQ1O8Jp3ETCUqhAwnohSsJis1bCVRdewqV5VMKIBlLCZpRPwkI1C8K7UQ/CetgQwvOpE8LmKxXCZeQZwpZqHMLKOh7C/P8kwmBYKsIwKDHCgvctwhssNMJ1UzzCusg8wn2VN8LFjzPC3yswwj49D8L3MRjCrjMVwgs3HcJjhCPCLrUowqJEIcLK0iDCR8YiwaiWUMHGm1PB3JeCwfu6n8FwX7DBFyW1wQ5RwcHDsNPBasbpwcgoAcJWkwDCFSQMwkNyGMLnKrDBRO6rwRR6y8G7HePB68j2wSecHcJrByLCuU4pwsaeMcJoozLColYwwgr3L8Jq0irCiysvwqGpN8ISnjXCZi8+wha6R8JKw0bCW6FNwmsVTcKClVPC+F9Zwh1/XcJTD1rCkxFewjEPHEKd/w9CFa8LQo56CEK7ib1BfSnRQb0q0kG1O+5BKnMHQp18FkLiIQxC8qoFQmaa90HVV5dAbuHiQEC9yEDmf/1Aqu0bQRsTIEEXkDxBmkFDQcq3ZEGBro1B/aytQb0bmkEmoadBdi6yQTp0tkEbfKBBgtmJQVr5ZkFA+EHAYKVSvpUCUsCqXxrA+wyEv/K1wL6yaIvA6u3rwDo62kEcictBONLiQUIm7kENdfpBKiwoQljHGUIzbhxCNk8RQh0dCEI4tv1BQGkFQvs9AkKwcP9BEw9WQjsOTEJo90VCs2I6QrllMEK+fQZCGRoOQmnSA0JllQBCE5L5QeLW9UFg8uRBIIXQQdMYvkGt169BQRmsQawAm0FQg4tButh0QVYMbEFOjldBBFg6QS6DGEFmVdJA2HrqQCYDqUBJyoBAZvPDQcdyuEEV/8JBkD3MQcNQ30HSuhdCBrwQQoPwE0IegBBCMEgKQiYJBUIrgwxC2rAQQojbFkI6eFtCJeFkQsoHakKrKXVCmyF6QtDlckJNR3ZCAPtpQlh9WUKtIEhC14I5Qr0NPULg4jNCQscnQuxXG0L4MSZC9FIiQi4rHUIajBpC1YAVQn6LD0K2QwVCUhj1QaYu3kH4XuxBtm/iQXh3qEBU0rdAyCm7QO1Y1ECwi/1A0yN3QXWvWEGT+HpBaKl1QVzwgUE2MIVBaxONQZR+lUGqsJxB8xACQn158EEAG/1ByNP2Qa5D9UH1YA1C8JsNQueCBkI13vhB61vjQXupzUHeztdBpfXPQYV3zkGjJMpBGivWQcN13EEjA+BBafkEQrL1AEIoTf9Bw8b3QUD07kENF+tBG1vgQQVV0UHC8ZXBSVaJwaVZjsGurYrB8k2IwewupcFe/p3BFkCRwXVLgMFYx2LBcmFJwS0ufcHmn5DBOoiewRcFnMF+QLzBsR+gwabfosFl3qPBoAr+wGZ1NcHuSCzB2zpawTIXhsFl75zB1uCAwetLeMHjMWjBk4NcwaGhPMHKGP7AFyehwNMed0FAQERBCnCAQdvthEHvXolBim6OQZn/rEG3WcdB4mzWQXokG8K2oCnCmvYewmfCIsJvFSfCjkYbwlpWIMI3LCLCwCAqwg2FMcIr+zbCsEQ0wgUTNsLSFTjCSmTYwcN47sFyCfDBziACwnKWCMJ9MhnCPhEXwr64GsKmuh3Ctlwiwl7aJ8LetyHCPn4ewktnGcLSGBbCXnwSwjMaDMJ4KQXCbS/mwSin5sErH9jBiFTNwa7xv8F1yrvBQ7GwwRu9osFNYqPCK5OmwgF1osJuXp3C+8KVwn7Sh8K1d4rCmtSGwsFHhcJ4joLCGk1+wi2Ff8Iqd3/CXeKAwiCQasJjqWzCHnFnwi2nY8ITOmHCs41Jwug6UcKlQk7CO/FTwiZZWsJwUWHCLURXwoV8U8LWEE7CCmJHwl20QsI9YDrCWTUywszxH8Ll9h/Cingaws3aFcLB2hDCmV4NwmtiCsJQJATCG+n5wUUIesL9z4DCTYJ7whYzfcLEj4DC01qAwsIagcIwOX/CE7p6wt1ee8Lo7n/CNCyAwj3MgsKjmIbCQ1VxwkM1ccI2c3rC0qiCwsyciMJxwqTCCJ+iwhxZpsJg5aPCnX2ewhehmcKD0aDC49ihwkGhosLKaKPCtm6nwkZ8rcJ1QbDCx8adwlqKo8IahKHCFvCiwghtocKHQqLCcw6fwijmn8Lg3XXC6Jl+wr0bfsJV9IHC4lOCwjVUj8IVSYvCK5mMwrA5i8Jyd4/Cp32Zwo6bmMJCUqDCTYSmwgPGocL+36DC6qakwht7psJC7KfC+tW8wgjIucIiibzCniW4wvArtcJYq7XC2wS7wgoqwMIoasbCopHKwn8uysJaRc7CwDrPwktbxcIaRcjCfK/EwpujwcIl5cDCFUW+wrP3usLWFrXCcDewwjASscFSQKXBhaW3wdJBwMFIc8rB0uoRwi1EB8Iy0QvCSRQGwlAZAcIu5frBmy4Fwi1dCcJMiw/CXntJwvsNQsJAc0rCoBVLwlJ1ScI9d1rClplQwk6hUMKAL0bCLNo8wsIgM8JtlzvCP347wqZ+PMIwFz7C6pRHwopQVMK1UlnCiqSGwpJ7hcLGWYPCWICAwnA0fMKQQXjC8BZywrLTcMKVyH5BaFU0QTjnSkEgiBBBgsaxQDaivD+RYUg/uvsPwOHZmsBSwOPAmRYowdbKJMFqsl7BG2+LwdJlOD8Dar0/DT0EwFi8oMClxgLB6qvPwX7Bs8E24s7BDuTMwTIxysG0CcjBJsPjwW3J+8FK9AbCySgLwlecEcKatRzCbnomwmUaNcLzVDfChsc6wuYaQMIbFEfCSA1TwuXKVMIdbWLCHeVuwiC6l0HO3ppBuTqQQQ8LiEFrM35B/3sVQUTtGkEVo/pAs1PKQCaahUBIjC5A1yELQG7dLj/lEDS/yrwSQVygJ0HNvZRANL+6Pyc2m78QmVvB7Aw1wWO4P8E45CHBtAoMwWDo8MCJHgTBqnf/wCiN5cBHC6nAGtjxwNKU9MCubPHAf9WKwdhAbcFZdYDBwN+BwVq/i8HyXpfBURyjwTFbucHLOM3BANw/wWJ6asEz1j3Bkhs8wXKHNcHZ4EXAtiCvwGuTi8CKF6DAOq60wLqrscDKdT3AfiKLv7h30b9KyNVAo/8uQZL5YkFlG5JBffaQQQT/KUGv9T9BjTzfQCBuj0DAVzhATZrqPd2c6T4yMCDA7HuLwFJu7MA7dY3ArpCjwKNC28CD/YbAU1bQwHg45sAPShzBiucwwdARM8H+4z/B+pdJwc1LU8Ej2pvCk+WewvBomMJId5TCTPeQwrn4gcIWOITCIRWBwg6NgMJQDIPCtTOHwjhef8I+13bC+/9swkWGNMJeMj/CHQc4wlxRPsK6hkbCuK8uwvLxN8LraDzCttFAwj5URMJ2VEjCmqA8wjr7N8JjqDXC49c2wrUCLcLlFCbC8JohwqXX5MGWdPjBOp3hwePY3cGG4N3BNqHhwfrqw8Fgu6jBWduMwSG9ksJ91pHCXr+VwlGhl8JCJZjC9tqjwuyGnsK1Kp3Ck6mVwg7qjsJL+YnCUP6PwrLVj8Jqy47CrtC/wr5qvsKjjLrCXhy0wqrZr8JhtJnCTPqcwiYgl8LOSZTCY4mQwp0Si8LcaIbCAD92wlbnacLe/mPC9dFmwrDQZsIgN2PCCrhdwqNPW8IuZkzCO1s5wkaqKML+ghvCqT4ewm5CFcLv7AzCQrTSwPodAMElJDHB/hZ+weOcn8FTdtbBUmXPwS3H0cHjvsnBv5TGwfOJx8FoCdTBquDhwXYZ8cEm+BrCtpwYwurOG8KW6R3CTRMgwpJpD8I+jBnCbuAUwnYdGsL67RrC7hMWws7mFsK7YBHCS4AJwrrJAcJeXQHCpjnzwaKz4cEazSDCTvgWwrClGMLeUg/CaoMGwnU4/sFHhAbCBjcIwtAEC8JSyFPBZs4+wdrlNMEL7vXAX6WtwMBD+MD1WLvAQg26wCKa58CjRgPBwjEMweqv1MH6+svBoZfLwQpduMEmH6PBdYimwbwXmME924/BdzCAwQVuacGDxtzBc6LhwbKO2sGoiNrBYwTewYWZ0sENotfBlhjfwdvp38EAjNvBDv1iwZoydsFa6HnB04Slwf1fwMG1IbrB4gfEweCDyMF9YM3BvlXVwYZJF8E+3iPBCqQzwVWfOMEKmSjBKXYywVKVO8H6R0XB0shQwZ3vb0LA63BCfiZtQkgSaEIg6FtChphYQuPaU0KS2FJCuEtUQjujTULzSEFC85JBQuiIQEImhT9CAZBFQvUaU0IFJ09C0+9YQpAXZEJI93JCuuN0Qv4+H0JayShCJrUoQsgDLULoeDRCyXAmQsIqMEI/tD1CYNhJQj0RSUJII03BiV1KwVDWQMGSMiLB1ovDwBK5isBi3mfA458dwC4+uT7ufUlAmhLEQIpnbsHlO43BiCx9wSqvecHDYGrBDiUnwYNBR8FTEF7BvhFTwagqTcGQNHHC8GNywtoHaMJt02DCq+ZZwtLlVMKA5FPCwKlUwtoBUcLgGVDCmtFQwtofS8JutlLCMIZSwq26WMKDBmDC0j1YwoAeX8IdzGXCwAxqwvhfbcLPFJbC/uOawoIimsKuCZrC1IyWwjvOkMIfJpLCZMCSwmYuj8JFx4vCnt6Hwoj/ZsLS02fCOyBowu1mbsKdsHnChSOBwmWggsJ5o4LCPk+JwqUZkMIYSnpAJnNCQDOMPz/CICjACEO1wM54yMCAXPHA3HQQweJmR8HtQnTBLBaRwXJmnkGVTYZB9zqCQWGrPEFbtqpA6zL/QCU4XkBwOBm+gqicwA/iL8HK3nfBPnY+P/B75L9tkwxASnx6QCJErUDFNlNBFYggQfCl3UDQyABBS6MNQatMEEEGpxHCSgIQwrQxCMJLG/rBXWTmwQoS3sFdrNjBChTRwcosvMEQAqrBXtybwVqEysJ9ZsnClVXGwrrgxMLQh8HCpXm+wusxvsKblLvC+t21wiMCscKYUajCRh1Fwg7ERcIgWlPCU/hZwiI1X8JOf2fCCENnwu5aZsJtDm/CFi15wgXBgMLiQpQ/uErCQAc7pkD9GdxAQievQK4iZEBePGlAPZc2QFUbij9lcbc+A9FpPw0Bo0CO2MZAG2zdQA5OG0H4elBBGmVNQUo6b0HWO4ZBsJmhQZDQs0EiQsVBbjjRQRr22EEgkOdBgMzjQSQ/vkEZacpBHhHXQW2UykHMHcdBn+PGQe7yAcJbmgHCdTT4wR507cFqkuXB4kzlwb6I4MHGPuDBaofcwU0O2MHq5dDB6xCnwfXCpMGUt53BGjSQwbdvg8F9HFvBPVlmwSMxb8HQK1vBVutKwTVUN8EqZCXBUzIywardIMGCFArB4koBwdK+9sAKZuvA6siywMZRRsAh2EbCi/BKwt2GRMI+tkDChBQ9wr5FM8LyFDjCF1o5wuqKM8LKoDHCuFYywoQFCsKenhDCuPQOwjPdEMJlrBTCphQPwrfoEsImORfC3ssWwq1UF8LeohrCYccdwoqWF8IgmBPC0D0PwojzBcKxjwfCdQkLwsfOBsLcXgTCgiQhwesdS8G+S0LBWhlkwap/isG2jlHBRTeDwTEzn8EcBKzBQE+8wfMbzsECrQTCEOIGwh+SDMJJURPC2bYTwpPtBMLsqgrCwiATwsUsGsIrdSPC8zIswpPvM8IyRy/CiWg0wkDeOcKyFifCEGYzwjOyPsL+GULCNGJEwhrs0kHzxbxBM5CzQZvRq0Hy3IdBeP6VQXmdp0GWYalBzzevQX0Ot0EldsK/rVGxP2oKiz5ggBlAUt+eQMok6L51l11AgIDnQI2b/EBzrP9Ao2AMQRbyH0GyOOBA06tjQD7JzL6abRnAi+IXwC64I8CjcZjAxl7vwM0NH0Ln2RlCs04oQgYHL0JaSjFCShw4QtjENUJwgC9CCyctQpaVLEIYyCpCqmJHQhaUPEKplDhCli8rQoWmHELFbhlCkvcTQmaODUKmegBC/VDqQYxby0HeMbVBk0G8QYSfr0EjD6FB0966QYfIpEHGUIxBCnF/QTYrcUFWJl9BK2QLQiPtBUJ+uxJCNlMYQs1AG0JSUjFCezEnQmhPHkJfgR5CisImQpMqMUIEloFCFo1wQsdsgEKuZoFC4YyAQqOCgEIeP3xC4th2Qg3eZ0IVqFdCbqpHQpI4O0JfAj5CXnA0QntgLEIA3zlCyG4vQnqfJEIjcR9CPJEdQjaF9UBy5wNBTskNQRz1JEHnrUdBws2EQfJTgEGjfXRB82CQQUb6pUElV7dBZi8bQn5gEkLnXxxCqkccQhDEHEJR4CZC4NYjQssqGEKznhRCtJoOQkeFBEKiLvZBz9YGQmbCCEKpzwpCUBobQqFVFEJaaAxCOikNQu48DUL2KMbB0oCzwUpQx8HakcvBNqHIwWYp48EqVs/BRhK6wUx2rMFXI6/Bt4G9wTvb0cDz7h/BVS3EwFqrrcCAyo7Api6wP4poOL/dEFzAFOMfwNKT8L8URqO/Uu5kv4a6BkDqb9hA4wMvQadgTEGYz11BtmNsQR0jkkEtSK1Br1/EQaAX/sG+IAjCnfoFwnyEDcKC0hLCuGAFwlAmEMLLNRXClY8WwoadGcJ4xB7CM0vfwXAe88FaA/TBvJoHwkFhEcJx8wjCtKMQwuJPFsL07xjCJbYYwoJ4FMLSDQ/CJgYOwhUcB8KkkgDCM+0GwgMIAcKTJvTBow7mwS0A1sG6jZXCbh2WwoJQkcK4f47CtoWLwojiisKKLonCtWmIwkeChcJL84LC3r6BwmWhWsKm81jCsoFVwi3vUcKjck3COm9Pwkq8SsLzVEnCtiBEwq72QMILVT3Cs4Y5whJtN8J2EjLCuNYrwopHMsKAXC7C2skmwo27IMJgpxrCP9kSwsASasJNLW/CTfNqwrpzbcIbTXLCFeNlwtZLbsJN8nfConV+wg2rgcLgAITCgQKMwka+jcIMs5HCRsCXwnbnnMKHSZXCKQybwsh8oMISaqLCFESkwuzapsJ/SarCGL2hwncGn8LZqZzCJGKXwqFXl8IoRprCSkCYwmPxlsLq9X7CtTCDwjpQhMIS+orCkx2QwgqDjcKFAZLC/JCTwhE1lMKtLJXCPr2WwmtOssLszbHCMvewwqrorsKmB7PCggmwwnEptMLuBLnCVte+wgpaw8Jq98XCwqHIwtilxcKXKsXCYb3CwrFZucJyf7zCAnvAwglMv8Iujb7CGPW7wtWD/MFjFfbBFYkEwsZIC8L14RHC0h0dwm8DGsJOwRbCGjAawjsZHMImJxzCRmFjwu12XcKTSGHCCt9fwrVXYMJFkHbCQqdqwjXwYcLz0GLCBqpjwtsFZcLD3mPCGIJwwmWifMLvdofCIxSNwqB6i8LpZonCcoiDwkWTfcKZr5ZBIJRyQbhcdkE+9T1B1bwFQeOYRkHijAlBfvOfQGoh9D/+4oW/5amEwNX4UcHWdkvBYOaBwZAgm8FiBbTB+C/MwbjDzcHm0c/BJhfqwWUxAsK6Bg7CZhoYwpXyF8L9oiDCbccnwoDWG8JrTSXCGH4twoQmMsIn5zbCtD9DwgEfy0Fi0KdBoJW1Qcalm0GX3oJBqpeYQYKqgEG+JUhB/xQNQbtU40D2oZZAEsrmwKPTysCp4RvBEHU3wduLTMFhrYTBipt9wZ17csFrCnDB4jxowc58ZMGtdVnBjTJ6wX63hcGY7Y3BmOenwa33n8E+W5XBzi2bwXcwosE5uqjBCp5rwPcOqMCwwC7AkoUQwOLx2b+aL4FAkUYIQIYngb9CNvS+MvW7Pg1PAUCWWIBBuhKkQX2LqkGV8bJBPnSjQcrapUHThZ5BTZd9QU1mIkE/871A4EtaQF7jqT+MUExAOiwfQO1amD9d86ZAe2ggQPjzf7+ODyjAtltcwMeNh8B+boTCZBiHwuxShMJqNYbCZQWGwnb9gsK+RoPChfeCwlt9gMKWhnrCpTZ1wjpvEMKaLBvCbWQRwhUdFML5KxjCrUD8wXTzDMLLfh3CrUkkwjZ3KcIUcSjCjjMjwlSFG8LhSQ/C2YMBwmbR58HQyejBembowWrrzsHyJbLBaoKiwUgBosIc3aDCmLWkws5ipcLJq6bC3IeswtDDqsKyCanC76KnwnOUpcIsoKPChgauwrqCrsInvKnCel2kwttSoMJejZzC0W6cwkzSm8LhnpXCB+uOwosKiMKgtIHCEUGEwqVzgMKyJnrC2s19wl5HdsLu+GvC4JNYwm2JSMI6Fz/CFt+GwQd6lcFbq6XB6l2/wbpbzcHQk9bB42DXwX4f1sHtXOXB6D71wRaUAsIoth3CUKMXwhqhF8L1PxPCsn0PwsoJJ8IlRxTCsvsKwqGCBsJ65QHCJff6wdqV88Gx0QDCKs4Swr7WIMKu1y7CStQqwhFvJsLWfinCc2grwlzZLsLaTwrBQnOtwAvY1sCX5ITARnGSv5DH4cCptBfAIwvyP7f4gkDuk45AQzR6QNJxFcGD9NvAfYyzwBKlrcCV35/A04xcwH3Rj7/7CQo/0gxKQPpfFUD2svY/3R31P1Ghmb/fq5A9hoosQJD5dUAWzqhAY2D9QDZ8zsGuq8HB9oirwX0njsEGwoLB+fGTwVyyjMEAx4jBgW6TwfOhm8FehabBNxfAwdWWs8G72qnBA1idwTw4osHawaPBoDCkwdEnqMGKEqrBbmegwc4eksHAgIPB+guHwVYRgMFgkWzBW9ZRwS77L8HvRgbCFrAOwiZ1BsKNOgTCCicCwpoa6MHlo+/Bi10BwqICAsJzeQLC6GUCwuid5cFOeujBrczqwY2k7MG+7u3B6xHpwTWI5sFDdvHB3FQCwnjsAMLzXvzBrazzwTsBzMElI9nBLWDqwXCQ38GSAdfBb2JHwWozVsEGyWbB9XKCwQF+isFNg4rB6a6Nwbq2l8EhorbBbqzUwUrG5sHpO4vBikWlweIqvsF67s7Bo+nOweJEzcE2t9fBkF3nwYrr+cHIJgPCID4HwtYwCMLOJALCglsEwvT0AsJIv/LBVnz2wZsAIEH5asZAeouSQKXceUCgU8m+BwS2P7qdVEBA8wRAhX+YPjXjt78IyhHBtjIGwTPd68ANtSXB5twGwRrBxsCm46HAaol/wDuMPcCqHYDAliu9wKmZAsHqqDbBHUwiwcjzDcEIWRvB9VUzwQJnYELL7FdCIopiQvZ1YkJiwGFCvqp5QjglbUK+EWFCUHleQrBdWUJ631ZCiMh3QpNWf0Kq6n9C3V1wQsKteELuBHpC4r5vQpB6YkLTOFRCtulNQqq7RkKnIT9CE/RQQmLbREIeIjZCBe0tQrDsJUK7pxtCa7BYQkOaYEJFeGNCbXBiQgg3W0IDuVBCy5JSQi2OV0JOqFhCpcxgQl4zbULPekRCJvtMQqp9V0JeD2hC5TNlQhggYEICImtCHj12Qmh7f0IvAYZCIKqIQpsQiUIJT4VCCviGQhochUIzSnpC6uBpQpsjyUECwM1BpkfbQXIb6kFqy/xBk2IJQnNwCEIG2QVCqu8JQiT3DUKo4hNCqAUtQjvvLEKJoShCGFQ+QnlEMkJC1iNCurwfQsrOHUIWXxtCurAlQobLLkI5lzhCAeFJQmXORkJQmEBCOOBJQt4uUkKgTPDBmCXswSVb48GuiM/BYHO3wVONocFb9Z/BksmdwQbsgsHeWVjBl902wQlhSMEGr0PBqcw6wdoWpcANmePAUIMlweVMDsGTXPjA2tffwMu6h8Ccssy/vodhP7P23D+zCD5AHpqYQMO7AEFoFStB8/5iQQrUwMFnacrBtnrDwe67xME+1sTBSiOwwbviucGHtcbBDAjJwf0Dy8GOPM7BcfqawT5RncGdFp/Bw7CewajCocFq26fBhVC2wT7qw8GyA9LBzejUwd7G2sEOLeHB/uHKwaDj2cEjo+fB4ljtwTNo8MF+eYTCYLeBwqMJgcKaznvCuNx1whUBesKWnHXC0spvwspTasLdR2XCSttjwjXKc8ItPnbCNYx2wlI5ZMKjZW/CUn9ywl7Ma8Kq6mTCU7ZfwkbHXcIWb1/COkNiwhMzXsLLKWLCWDhiwnDeXcIgLlbCQPpLwtacTsJifFTCff1SwvWgWMKwJ1/C0lZWwoowX8LIi2jCY+hxwkAqe8LHf4HCshxZwlsHYcI9i2fCwNNvwkjrb8LtL27CG6J3wm4igcJRdYbCbbyKwlGcjMJWV4zCQGeHwjLOiMI+5IrC+FmJwoZKh8J9Ao3CrD+Lwpl9jcJ0hpDCoJiVwpPJk8KGg5XCJ/GbwmazocLafKfC23OswoKQncL2h53CRb2dwnNOnMKqxJ7CjYSgwquMpMLvu6nCZeWuwhRyr8LBBa/CjXSswkHYnsJOH6PCvcCnwiM0o8KyGp/CV6ObwuYCNsIcDzbCQl44wiLeNsLacz/C7sZHwj3uRsIq4EfC9a9PwnC+W8KDrmDC0i5nwpuVZsJq/mXCmgRxwlU2acKO4WTCxaxjwlpSY8ITw2PCY0hpwr1wccL7On3CyoqDwv8FhcJuKIbCdi+PwktikcJljoFBnUBkQVZ7UUF3hyBBQErWQCJ29UCUbLBAIjJSQB01QL61TGXAo4XhwHZqAEAgZrA+it7gv4VE3MB2uarAEFx2wJeTvcAdLwPBpj4qwY1wYcFujovBmjqkwdTem8E0+KrBSiC7wUqx0MFyYuXBZsz5wbbC3UEiI8RBwK7GQQ5/q0FyfI9B+EWdQQXRh0FWp1lBwEPvQCOSGkDvfIC/u6peQbTmKEFlm9ZA3tdQPiX7ZT/dtypA8TO3vtZGE8BS/pjADksMwZALQcHjUW/B2uJqwfgUgsEyw4vBUrSdwUaEr8GvtMDBWO4awUkDqsA6lOTA9TCIwPIjt78jhtjA+oJPwKtxvD9yIoNAEznVQIgtEUHlymHAXc2GwFXzVsCa7nu/yiunv5jxYb91oyBAjafYQHL4MUEs/khB64RPQWJ8TEE8gwtBbo4kQaaIQkGJHTJBAC8dQaA++kDzmVjCO5xYwrKrTMLW30DCxDI5wj17KcJ6bC/CboszwqBlLcLCLyXC6g0cwnwkDsL2UAzC+rALwnCt6cFAPwDCjx0LwgrcDcIhzQ/CK2sRwuqnAcLKxevB0+PcwZO+vcEFxMHBVYLFwXJgrsFjg6LBuHOLwSpFvMID4rrCXUC9wm8CwcINVcXCkC3GwjqSxsL1l8PCL7S+wrvxucJLu7XCfYDHwjYNxMIQQb/Csqi4wgaSuMK2mLvC9224wq+jtMKqALHCdTGrwkOXpcIbD6LCgqGhwoCsn8KY/ZzCLjOZwnxRksIeUInCUKwCwsIwA8LThwnCNnYRwstzF8LYRh3Cvrwbwi1PG8KmAhzCnskcwv8AHsLM7kPCwtdAwk1WPMLDoVHCYylIws74NsIB1DDCvagpwviDI8Jgui7CL9M2wpMwO8LewE3CAc5FwsEtQcK3UEzC/o1cwpCma8IOoE8/L6JIQI27eECKpORAe27lQNWiAkGzMe9AJKy8QKYsrUDPNapAlXy4QBJvD0HeUAJBzmPHQLbxrUAJZ6pABjeuQCbcpEAK46pACJvHQENX40BWBw5BXYc/QdT1CUEGdjlBgNBsQd5ZiEHaF5tBXiCqQY2i279xc6S9Hg4Ov8eUjj/gRJk+Vih4vqoBAT6ueGg/1YUfQMrA6kBWPfxASHTlQKmcPUGjJRlBluHSQJxsxUAgDalAziqPQHLZ3EBNbhpBVFxCQZitd0HG3m1Blf1xQRIZkUGytKhBvKa4QRpcxUEAm9VBo/LnQcBL3UF6dupBAB/7QXHAAkJvygVC99wLQh5W2kHti+VB2m73QeLtAUJ2FANCMnz/QZix/0HGuAVCDv4QQs0pFUK9NxNCpJwNQoNoC0L70QlCj2wNQjyZEUL+1hhCmIwjQnuYO8JrTz7CVtU0whkvLcLmvCTCRGsfwpp3HcJk1BvCLMYRwj/LCMLudAHCsoACwsTfA8Kg/ATCkAv0wQME/8HdwgTCKXMDwqaYAMKAfvrBc/HywWZf58FFRd/BLafbwTZk2sEzQtzBSpLUwVLoy8EA28fBCSm8wV0OvcGIZ8LBmgSPwSRMsMEhEMrBhhrQweMT0MGKR8jB3OicwQX/kMESmYLBkGhwwS38esHua47BJkKnweaBt8Ed077BCgS4wY5MssEoQK/BZdSZwejNo8Hu2q7BfraywSDOtsHWcbvBY5axwdKiqMHYz5zBSy57wXY9hsFKxo7B6yuBwZZHbMGzHFfBdcgTwcrKA8GDheHAr+YVweC+CcHacNnA5YP5wBhoG8F6skTBsY00wZKtG8FWnffAlkG+wN6wtcD+xLXAg/RowL4x27+WkITCHSGJwsDzhMKS6IPCef6Awp1xeMLDKXzCw/t6wiN1dcKehXHCjextwtohT8KlcVfCO7hgwnYMUMI9OF3CFodnwlIjacJKi2rCQ5VqwgsnZ8J9LGPCwllewiNKXMKe3FnCA+lYwhpVVMK6/1DCmAFOwo4QFMJgoBfCpqgbwoDyE8Im5BjCirUfwieVI8K+XSrChQ4xwmOhEsIbRRXCwW0YwkqiHcJ1Ix7C6JUewsa0JcLNcy3Cb580wrzBOcIDC0PCsOFLwtiJPcJa2UfCSkFMwpt9ScK6mEjC3hxLwtnkSMLUVkbCnpxEwu/5O8IbjT7CrllDwm8tQsLGxUHCWplBwhZ4IcL+wiXCox4twlD4IMKcpCrCDuYywnroNcIBLjrCgORAwh0rQcJ3/kHCYYlCwjdfMMJBNTnCFmRBwrgPP8IXHj3CGioWwbYoO8HoFEHBZldpweeficHY7nzBXrWPwfZpocGyqrXB9/3EwZj/1MHzv3XBAo2cwc5MssGR2LnBsXu9wRxwvcFXw8jBMEjXwZYR6MHgKv3Bkq8HwlLbDsKy0wvC6MUQwqmfF8L9KCHCGuUmwuVhK8LVhVvB2GVtwQluisEcVqfBsUCkweWYpMHpxLvBw5jOwbBw48HzGgfCJr0Gwud9BMLeOB3CpYEPwmCpAcIaKv/BcPf9wWt9/sG9cAzCay0ZwqC0I8L2Qi3CzgwqwvpcJsLVJCfC0m0qwrsUMcIiezbC5ak7wkvgPsKeND/CLU1BwoBaQ8KadU7C9kZawmBeYsJgEj7CvXxHwiWhUMKjrlPCi1ZYwkCwWcJ44WDCNapjwlu2ZMJqiWTCVmVkwvZXaMJa32DCom1nwt6MbsITYnbCVXd/wvaAK0IO5TFCGnA0QpiIIELy1ylCz6Q0Qhm0M0JrtDNCimw0QqpJ40G+qvVBc4EFQhDz6kEEmANC9JIQQrmOHEJCXihCyk40QsboM0KUDjBC9qUrQh10HkK8ESJCRNMoQoVEJEKWmhxCvSMTQqjcMUEL6DpBWo9IQVVRGkGqHEdB4I9jQRuLh0EHF55BSRq2Qf+OskAKewhBzdI5Qd1iS0GCCVZB5atuQbb0kEHS8rBBBr3VQavq4EGNQ95By6bmQTM/x0FuNt1BMkn1QTakAkLlTgdCkYgDQu0L60FjZtFBDWC4QaGLsUF7kaZB2CaeQX3eh0FCQ2VBuq9CQX+XMEGPcjdB+tUzQcJ9eEDzjvpAwSAoQZOEGUFCLhJBqToSQUMW0kB7CItAO0XuP5KOOb62Age/gJs8v3peOMCyVcnAGxvNwNVvX0EWkSdBPU1sQW3/fEEqVIhBpEe6QZ+UpUG9bJJBle+bQbCbo0GKYapBeBYQQntsCEKzkAJCW6IQQohCBUKgQ/RBwlbfQSlfxkHuRq5BquOwQcArskE3MrNBDRPmQZ/Sy0FTkbJBqcCxQYZoq0HBVKJBZUdNQrbIRUIRYzhCjYVBQpIzOkL6ujFC0ocrQgq2J0L66SRCP3oxQpatLELGfyZCiocVQkfiG0IIKSFC5JEdQnvCG0LSAyBCeu0YQnyvDUKe8ftBi7/5QTM190EOBd9Bca3FQUtyrUHFFZdBrpiPQXGfjEEvUYZBssOeQVmcjUFNYnNBiExTQQPmMUHlwBBBFl2hQeSojkH4X3pBdbJiQUKBX0HOl15BqWo/Qde+FkEjq9BAejCQQAQhH0Bu/RU/lsh3QHlEuT/dBZ6/o6U+wCm0ksB68cRBcsy5QYNVwEHC07VBkmuqQZ2csUG+ialBibugQZFvpEECkrVBD9DKQQ0tAEIo2vVBqtTyQUUYCkKmXANC4yX7QWouAEJ4pe9B7o3dQdDf20FDmdZBMHnXQUMv/EEzAutByEXZQePq3EFgQ91BANLhQcMOZUJOrmJCS6diQhqScUImD29CypVZQi5oS0JeuUFCMrg5Qrr2aEKzlXdC+kB1QjZDcUINkGpC0vlgQt48T0IGP0FCle00Qk5ZLEKB1iJCImMbQq1JK0IUDB1CVwgSQrvXB0ITf/1BRTDwQUZR9kEStvRBSgjsQQbVDUJgG/1Ba07bQRI0y0FOzL5BXka4QeoGL0JiJyNC8ocWQg/rEULAmw9CMRoJQsoN9EHItdNB5hG4QRLVtUFL2K1B3uigQW6XxUEWs61B3a2UQfNRiUF6MXpB54WJQKoZpECK5rhAhyrMQM496kCzndJA42XtQGXHAEHG0ApByRsPQSFxEkEQuRpBwpNAQVhBKkHGYSBBqgApQQp8NEFx0iFByHY5QYfiSEG641JB26iEQaYkgEEtTGBBpbxxQddog0EQRI1BJ4/KQV7PxEHdQ8FBkC3gQXJM00GaVMNBtYXHQamHykFeRMhBtRUJQmpzBEIgQPpBbrcIQtVLAELDfuhBVuXgQYXN1EGsuL9BKBizQevUpUFi6Z9BN8W5QZG1rEHinJ1BCHqcQQYjnEGhfphBivygQb9uqEEe67BBhejFQf6zwEGLnbpBYOHEQSh2z0HG8thBwuftQUja6kFirutBsrr9QRbv90ENmu5BI27uQd3c6UHWWOBBqrPjQWaB4kFSv91BokjkQYZn3kEK3NdBkFLSQUNqy0E3eMJBMl+twWHyo8Hg+53BosqOwU0KfMGzxnvBlgVnwYYGUMHDcyvBPusYwQa3AMFhLKTBDayVweYNhsGLy5HBzoKDwdCAaMFY6DrB6jYHwcJQvsAAv4HAtlA6wKLsQMA2KCfBHmH0wJMpiMBOV9DAB8cPwYvULcFt+ebBAMbfwQYp2MGaXM7BdrDTwTpx0sHSaM7B/iDLwUqEyMElYUrBIsx6wXXdoMF6uG3B77iawbLOrsElJr3B5nnGwZImxcEmo73BZTmzweukpsHePabB0HulwVLdl8GZeIfBhSRqwTrRRMGFxk3BOvdOwfOFRcEInE3By8o+wQxUL8GgvBHB4InTwLsQZ8B5tCi/uQqqvh3WHb5KnAVBisZbQPLydb53R5e9aOZVPq5wET/m+J9AIWQZQR7jZkGdipRBUIuZQd2sm0FS97JBih6+QY51QsKHY0TC7glFws3sNcLHO0DC+JxHwjLgScJK90vCtchOwp+ZFMJy4R/C6/YqwtCuJMKBJCzCAAM1wuVhPsLCv0jCmsRRwmbrUsIF1lLC1j5SwqanPcIYyUfCI81QwlhbTcIFt0fCHWRBwq3t2cECve/B6/EDwmMU/cHO/QXCf7gNwlVoEsLe2RjCfwYgwv/aB8ImgAzCRtgMwrsRFcJaJxPCmvwQwiWOGcJ2IyHCzNUmwl4rLsJg0DPCQgI2wuBeK8LYoTDCcCc2wh1yNcKGPjbCB6o4wkrjMMK1CCnC7c4hwsr9E8JbXxbC86oawjb7E8LGwg7CvusIwh3UCcIeSATCvjj9wZIv68GGSO3B8v/zwegN9MFAY/zBne4DwkZx/8Hq4fPB+xnlwcn1wsFrRs7BLZvWwe0/ysGa17rB4sHEwcazrcKS6q/COviuwnWHrcKaf6jC1rOmwgwPpcKECKHCiq+ZwmI4lMJ9ko7CU8eUwv3EksJw+4/C63WLwnmLjMKjxo/CSruOwg5djMKzG4jCnQiDwjrwf8Jgj3nCqq15wuI+d8K95njC46Z5wkrkecJKEnPC5md9wrCvesKD/HrC0Cpvwt2mdMJOkHrCoNd6wgMwfcKlFIHCrURZwoXKW8IWa1/CewpXwjbsXcKDw2TCCkFtwl2yeMLLOIPC7vWEwgw5hMK4KYHCW95qwoDXdsJIFH3CPdt3ws0bb8Jj/GLC4BNVwncfRsK1gTnCNbk/wqsgOcJaxjDCudkowmGiIcIzRx3CSxQ0wsDMLsIaqivCtvAhwjMDJcJlaSfCiVAhwnVfHMJFfRjCGDcRwsNqCcIDWwLCbTMIwviOAcJT/PTB0rzkwVWT1MF2+ojCGuOHwiLLhcIbcITCRdeEwqcPhcKGz4TCc0yEwimEhMIunHTCtq57wmZ8gcKacIDCKlt+wtYXfsJCm3zCMn6Awm7+hMLSk4bCsLaHwg5HicI1OYPCFdCGwmrgi8JmdI/C+pCTwvXZmMLFElvCuGFiwsaUasKecHHC1VFywkgndMJlvn3CuhWEwje5h8Kl2o7CtqWPwskjj8LKg5vCXzOUwittjsJ/hI3CfcaLwjRSiMJp4ofCyN2IwqjXi8JCxpXCHRiSwh5Jj8LZ/5LCTGqYwtL3ncKqkqHCYN+kwqYJqMIo4aTCpn+owvq4rMJl1LLCtq23wnp5ucL7fa3CXv6uwk2RsMI1qqnCJXquwjets8KI4LTCxDu1wsa2tsKsw7HCp9qtwspSq8IOjqPCfZmmwp8TqsLpe6rC/8mrwgqurcLSf33C6nOBwlu4gcLWtYXCPsOJwnZEhMJNFojCAXaNwqfwkMJua5TCJviXwlNahsLWk4TCcMOCwpYuhsLyJ4TCfiqFwqNjjcLDppTCZfybwuaeoMKNjqXCyQyqwp3PocKCmqjCQGuuwrp6scIcfrXCkq25whP6jsKvJ5XCA2aYwp9SnsLotZvC6xqZwpEzm8LVsZrCyAubwlwZr8K+96zC6purwpZttcLR4q/CK0OowoUIpcI3PqLC5TKfwsoBpMKuzqjCuVmtwpTmtcJ+WbXCk6yzwoMxusKG4bzCgni9wniowMKI/MLColHFwmyty8KwPMrCvvnJwpoezsK6UdDCM3fPwnkMzML6V83CVZbNwnM6ycLCUcvCCHzPwjZSz8IaD87CQEDMwj7xyMI9M8fCihjCwuD+vcIOS73CU5m7wh1FtsLmLLHCWa9MwS7uXsGe1nDBfF6YwchVjMGtGoLBwWqMwZ+Zl8GGQaXBmzDswVYO4cEOXNbB6Aj4wVY14cFWqcvBfprCwQ26usEKHrXB+v7DwaXo0sGtYtzBYKP0wbAi7MFKAeXB8u3uwUuL/MGiSAXCsxs0wqCdMMLpFS3CBTk3wg2ILMJK5yjCQc0kwh9fIsIvxSDCU+dUwurYTsIo/EfCI1pKwkddRsKCgUHCx+Y3wtCgLsIXWCHCc54iwrp/IMIF3RrCI3cnwiYGHcJQWBbCR1oSwmZ/EMKnig/Ca/8Zwg5OJMLLFzDCy6w/wh5aP8L7oTvC5hdFwpUZTMKSmFLCsgdjwssBYcLtlF/CZm15wu0xacJAtV7CsypcwgqGWcKyJ1fCi7piwubNcsKG93fCEHR1wpgBdMIjnHXCHeN2wl2FesKO83bCgkzDQBP36kCO03BAeDPqPnbfzUCgatc/CL4LwHTdjMBd89bA0D4VwfYxL0GFmtBAQ+4eQGxtCz5PpcG+0wVZvwNoVcB+/+LAxlJCwW3dbcH12YzBzSKhwTtfcMGqOZfBx+yxwdyDwcEocdLBkivlwcBPP0H/uxJBnL68QIVd/z9c6xZAmg4fQEa6P7+KCXrAHpXrwG36RcELQj/Bgtc4wbgPlcFQCG/BGlA0wQ47McEcWzHBIzYwwQ2QZMGGT4/BhjKqweqyxsEwAsbBKXrCwe3c2MFW+erBILn6wcIrBMIOIwnCPy8Qws0xD8Lk4BTCszEawktkJcJSNi/Cres2wpmQIMIzESjCxFQuwk2POML4uTfCPf0ywoY0OcKPXjvC5As9wgxdSML+q1bCjptewuWfXsLeemPC1vVjwgAFasK6hHDCHfutQfZQoEHABJRBGNiZQdPgkkG0CYhBauR3QSv4T0HUoBhBwGmGQcpMY0FwPGRBmJApQf3ERUGLc11BI25LQa73F0HeZdFAfPykQOSRj0CHCYtA2toPQNbWMkB2vJhAzuajQMKBqUDkrK5AGjiqQc/Mi0FLJFlBIwQyQaLMMkEoZiBBXYPXQDHZhkAiWg9ATrSfwMq6hsAo5nDAqiYPwbCCvMDTcyTAIv6Qv6bSd7xWDz4/e1yyvlKp0b8PVy7ACCzOwDDLmsAW8ynA0teXvqn6PUAGx55ABTpnQLjj2z/OS/S9fn9EwAiJ5L84vuK/+3hcwP6tosBC9NvAQBlGwc5sLcG+yf7AKMhDwR46E8EmbfLAlLcTwauVHsGrDQvBC8MqwdNqT8G9IHXBwx+VwdLBkMGbV5DBdGGlwUW6scFOnK/BxhnCwau9o8H4tqHBaCuewWtxgsFp3ozBwdeZwcP2k8GPM4/BngiJwf2p3sCc8g/BW4knwWM79cDJIxrBRd85wbihTcGNRGXB5m56wVXAVsE2pDTBBgIkwe60t8BwqunAslouwR2BTcGQCWPB2ipwwU1QBD+GkuhATk4/QeY3ZUEm6GVBnTw8QRvVAEEjGKFAlchiQN65pkH4a5hBs31iQXUuTUE42zZBas4hQeOE70D64bhAic2AQO2kb0CN6ik/nUJ+wB/yOcCmHbTAio70wJhgJsHb0E/B0Ox2wRPBb8Gy4nDB+OV9wQ9NG8Hu8lDBdhOHwWIrkMGqq5TBFVGSwdX027+Fe6TAdvINwRQSAsGy5BfB0+E7wdvdWMGbIG3BjWaCwdWrcMFjN2vBrUxvwSbUP8Gzo1nBGqN+wfsRjsHI7J7BcjawweP+r8LPua7CU9KswqIWocKXj6XClByrwioVqMIewqPCOTygwnMuisJ1NYzCLz2OwtM5h8IJHIvCfhORwnJYlMKFh5jCqtKcwlIOm8JT7pjCcyCWwpP8i8IjOI7CWoGRwu97jMLg5YbCbb2AwoYDWMJQf1nCe/xfwjrXS8K9QlnCNrlpwgr2csI7gHfC8L5ywrtcJ8IAMznCPXZOwjJzQ8JrS1TC1TBhwjCObMKimWvCc7hpwkYzZMIDg2LCWi1jwnJ0UMId4VnCyBJmwpBaasKW2W7CvR9ywuqAZcI6hFrC+v9PwnldOsLcfUDC5n9HwkEDP8K2IzjCo/ktwguGHsL3cR3CVaQbwllOBMKCfA/C5n4awsHhGcJSSx3C09YiwrRzGMLa3Q3CKtoBwkK/5cFgFOnB+HnrwdLi18GH08XBLqHOwcJcg8LyNYXCooKGwsqrj8Jt+YvCHjOHws4mh8IcWYbCWP2DwvNgnsL3UJrCHMCVwgzAmMLNnZPCjY6Qwq33isJ4/4TC1md/wtYxeMK6i3TCzRB1ws61hcIVrYHCy0B4wj66d8Ig7XfCnql2wpo6u8JHyLzCK9a6wigxu8I9TLjCinW1wumTrsKgvKjCptykwqUtrsLecazC0WSowuGGn8KzGKHCjVajwkZposLmZKLCHkmfwmuYmcKSQJHCA/GMwoRTh8LWYIfCOx2JwhOBg8KuXXvCLahvwl6nZcKLElvCs/9QwrOtXMJ2MVLCtU1Hwko1QML91DjCCMEwwiXFdsI2NGrCY1dbwrIAVcLCVk/C3pVMwr5HPsLBozLCukYnwhs+HsJfMxTC3usJwtFiEMLnPAfCSL/7wcDC5cE7VNrBCwvOwZBgIkAKPpK/gp3LwFjLFMHwgCPBCuEnwYXjacHUyI3BrgCYweGppsHFgrXBZY+7wfXczcH+wMXB3jS4wRoLssFRpavBxrKgwZf9rcFxfLvBXye+wd6mycH71cTBVs66wcwxwMFyNcnBXq7QwXTEBcLqkwnCijAMwhLmEsIK8Q/Cdo8MwjZuDMLO7ArCnY0JwvDiG8K5iSPCC6kgwm2cIMLyuR/C0B4awo1vEcL3zwrCbiAHwmwSBMKmEv/BLq72wZojDcKFmQHCW1/vwbsn6cHakeTBa+/cwX7v5cGav+fBiIjgwRLT9MH9neXB20LUwRr2xcFe5LbBdw+xwcvp6cFNOuDBqgbXwUYsCcJ65uvB24HPwQo+ysH23MXBXlq/wTWb0cEKGtzBfsbdwRLo8MEi/eTBAF7Ywe0yz8EzO8vB&quot;, 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&quot;, 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MAACYTAAApEwAALBMAAC4TAAAxEwAANBMAADYTAAA4EwAAOxMAAD0TAAA/EwAAQhMAAEQTAABHEwAAShMAAEwTAABOEwAAURMAAFMTAABVEwAAWBMAAFoTAABdEwAAYBMAAGITAABkEwAAZxMAAGkTAABsEwAAbxMAAHETAAB0EwAAdxMAAHkTAAB7EwAAfhMAAIATAACCEwAAhRMAAIcTAACKEwAAjRMAAI8TAACREwAAlBMAAJYTAACZEwAAnBMAAJ4TAAChEwAApBMAAKYTAACoEwAAqxMAAK0TAACwEwAAsxMAALUTAAC4EwAAuxMAAL0TAAC/EwAAwhMAAMQTAADGEwAAyRMAAMsTAADOEwAA0RMAANMTAADVEwAA2BMAANoTAADcEwAA3xMAAOETAADkEwAA5xMAAOkTAADrEwAA7hMAAPATAADzEwAA9hMAAPgTAAD7EwAA/hMAAAAUAAACFAAABRQAAAcUAAAJFAAADBQAAA4UAAARFAAAFBQAABYUAAAYFAAAGxQAAB0UAAAgFAAAIxQAACUUAAAoFAAAKxQAAC0UAAAvFAAAMhQAADQUAAA3FAAAOhQAADwUAAA/FAAAQhQAAEQUAABGFAAASRQAAEsUAABNFAAAUBQAAFIUAABVFAAAWBQAAFoUAABcFAAAXxQAAGEUAABjFAAAZhQAAGgUAABrFAAAbhQAAHAUAAByFAAAdRQAAHcUAAB6FAAAfRQAAH8UAACCFAAAhRQAAIcUAACJFAAAjBQAAI4UAACQFAAAkxQAAJUUAACYFAAAmxQAAJ0UAACfFAAAohQAAKQUAACnFAAAqhQAAKwUAACvFAAAshQAALQUAAC2FAAAuRQAALsUAAC+FAAAwRQAAMMUAADGFAAAyRQAAMsUAADNFAAA0BQAANIUAADUFAAA1xQAANkUAADcFAAA3xQAAOEUAADjFAAA5hQAAOgUAADqFAAA7RQAAO8UAADyFAAA9RQAAPcUAAD5FAAA/BQAAP4UAAABFQAABBUAAAYVAAAJFQAADBUAAA4VAAAQFQAAExUAABUVAAAXFQAAGhUAABwVAAAfFQAAIhUAACQVAAAmFQAAKRUAACsVAAAuFQAAMRUAADMVAAA2FQAAORUAADsVAAA9FQAAQBUAAEIVAABFFQAASBUAAEoVAABNFQAAUBUAAFIVAABUFQAAVxUAAFkVAABbFQAAXhUAAGAVAABjFQAAZhUAAGgVAABqFQAAbRUAAG8VAAByFQAAdRUAAHcVAAB6FQAAfRUAAH8VAACBFQAAhBUAAIYVAACJFQAAjBUAAI4VAACRFQAAlBUAAJYVAACYFQAAmxUAAJ0VAACfFQAAohUAAKQVAACnFQAAqhUAAKwVAACuFQAAsRUAALMVAAC2FQAAuRUAALsVAAC+FQAAwRUAAMMVAADFFQAAyBUAAMoVAADNFQAA0BUAANIVAADVFQAA2BUAANoVAADcFQAA3xUAAOEVAADjFQAA5hUAAOgVAADrFQAA7hUAAPAVAADyFQAA9RUAAPcVAAD6FQAA/RUAAP8VAAACFgAABRYAAAcWAAAJFgAADBYAAA4WAAARFgAAFBYAABYWAAAZFgAAHBYAAB4WAAAgFgAAIxYAACUWAAAnFgAAKhYAACwWAAAvFgAAMhYAADQWAAA2FgAAORYAADsWAAA+FgAAQRYAAEMWAABGFgAASRYAAEsWAABNFgAAUBYAAFIWAABVFgAAWBYAAFoWAABdFgAAYBYAAGIWAABkFgAAZxYAAGkWAABrFgAAbhYAAHAWAABzFgAAdhYAAHgWAAB6FgAAfRYAAH8WAACCFgAAAwoAAIUWAACHFgAABgoAAIoWAACLFgAACAoAAI4WAACPFgAACgoAAJIWAACGFgAACwoAAJUWAACWFgAADQoAAJkWAACbFgAAEAoAAJ4WAACfFgAAEgoAAKIWAACjFgAAFAoAAKYWAACoFgAAFwoAAKsWAACsFgAAGQoAAK8WAACxFgAAHAoAALQWAAC1FgAAHgoAALgWAAC6FgAAIQoAAL0WAAC+FgAAIwoAAMEWAADDFgAAJgoAAMYWAADIFgAAKQoAAMsWAADNFgAALAoAANAWAADSFgAALwoAANUWAADXFgAAMgoAANoWAADcFgAANQoAAN8WAADhFgAAOAoAAOQWAADlFgAAOgoAAOgWAADqFgAAPQoAAO0WAADvFgAAQAoAAPIWAADzFgAAQgoAAPYWAAD3FgAARAoAAPoWAAD8FgAARwoAAP8WAAAAFwAASQoAAAMXAAAEFwAASwoAAAcXAAAJFwAATgoAAAwXAAANFwAAUAoAABAXAADpFgAAUQoAABMXAAAVFwAAVAoAABgXAAAZFwAAVgoAABwXAAAdFwAAWAoAACAXAAAiFwAAWwoAACUXAAAmFwAAXQoAACkXAAArFwAAYAoAAC4XAAAwFwAAYwoAADMXAAA0FwAAZQoAADcXAAA4FwAAZwoAADsXAAA9FwAAagoAAEAXAABBFwAAbAoAAEQXAABFFwAAbgoAAEgXAABKFwAAcQoAAE0XAABOFwAAcwoAAFEXAABTFwAAdgoAAFYXAABYFwAAeQoAAFsXAABcFwAAewoAAF8XAABgFwAAfQoAAGMXAABlFwAAgAoAAGgXAABpFwAAggoAAGwXAABuFwAAhQoAAHEXAABzFwAAiAoAAHYXAAB3FwAAigoAAHoXAAB7FwAAjAoAAH4XAACAFwAAjwoAAIMXAACEFwAAkQoAAIcXAACJFwAAlAoAAIwXAACOFwAAlwoAAJEXAACSFwAAmQoAAJUXAACWFwAAmwoAAJkXAACbFwAAngoAAJ4XAACfFwAAoAoAAKIXAACkFwAAowoAAKcXAACpFwAApgoAAKwXAACtFwAAqAoAALAXAACyFwAAqwoAALUXAAC3FwAArgoAALoXAAC7FwAAsAoAAL4XAADAFwAAswoAAMMXAADFFwAAtgoAAMgXAADJFwAAuAoAAMwXAADOFwAAuwoAANEXAADTFwAAvgoAANYXAADXFwAAwAoAANoXAADcFwAAwwoAAN8XAADhFwAAxgoAAOQXAADlFwAAyAoAAOgXAADqFwAAywoAAO0XAADvFwAAzgoAAPIXAADzFwAA0AoAAPYXAAD4FwAA0woAAPsXAAD9FwAA1goAAAAYAAABGAAA2AoAAAQYAAAFGAAA2goAAAgYAAAKGAAA3QoAAA0YAAAOGAAA3woAABEYAAASGAAA4QoAABUYAAAXGAAA5AoAABoYAAAbGAAA5goAAB4YAAD3FwAA5woAACEYAAAjGAAA6goAACYYAAAnGAAA7AoAACoYAAArGAAA7goAAC4YAAAwGAAA8QoAADMYAAA0GAAA8woAADcYAAA5GAAA9goAADwYAAA+GAAA+QoAAEEYAABCGAAA+woAAEUYAABGGAAA/QoAAEkYAABLGAAAAAsAAE4YAABPGAAAAgsAAFIYAABTGAAABAsAAFYYAABYGAAABwsAAFsYAABcGAAACQsAAF8YAABhGAAADAsAAGQYAABmGAAADwsAAGkYAABqGAAAEQsAAG0YAABuGAAAEwsAAHEYAABzGAAAFgsAAHYYAAB3GAAAGAsAAHoYAAB8GAAAGwsAAH8YAACBGAAAHgsAAIQYAACFGAAAIAsAAIgYAACJGAAAIgsAAIwYAACOGAAAJQsAAJEYAACSGAAAJwsAAJUYAACXGAAAKgsAAJoYAACcGAAALQsAAJ8YAACgGAAALwsAAKMYAACkGAAAMQsAAKcYAACpGAAANAsAAKwYAACtGAAANgsAALAYAACyGAAAOQsAALUYAAC3GAAAPAsAALoYAAC7GAAAPgsAAL4YAADAGAAAQQsAAMMYAADFGAAARAsAAMgYAADJGAAARgsAAMwYAADOGAAASQsAANEYAADTGAAATAsAANYYAADXGAAATgsAANoYAADcGAAAUQsAAN8YAADhGAAAVAsAAOQYAADlGAAAVgsAAOgYAADqGAAAWQsAAO0YAADvGAAAXAsAAPIYAADzGAAAXgsAAPYYAAD4GAAAYQsAAPsYAAD9GAAAZAsAAAAZAAABGQAAZgsAAAQZAAAGGQAAaQsAAAkZAAALGQAAbAsAAA4ZAAAPGQAAbgsAABIZAAATGQAAcAsAABYZAAAYGQAAcwsAABsZAAAcGQAAdQsAAB8ZAAAhGQAAeAsAACQZAAAmGQAAewsAACkZAAAqGQAAfQsAAC0ZAAAvGQAAgAsAADIZAAA0GQAAgwsAADcZAAA4GQAAhQsAADsZAAA8GQAAhwsAAD8ZAABBGQAAigsAAEQZAABFGQAAjAsAAEgZAABJGQAAjgsAAEwZAABOGQAAkQsAAFEZAABSGQAAkwsAAFUZAABXGQAAlgsAAFoZAABcGQAAmQsAAF8ZAABgGQAAmwsAAGMZAABkGQAAnQsAAGcZAABpGQAAoAsAAGwZAABtGQAAogsAAHAZAABxGQAApAsAAHQZAAB2GQAApwsAAHkZAAB6GQAAqQsAAH0ZAAB/GQAArAsAAIIZAACEGQAArwsAAIcZAACIGQAAsQsAAIsZAACMGQAAswsAAI8ZAACRGQAAtgsAAJQZAACVGQAAuAsAAJgZAAAgGQAAuQsAAJsZAACdGQAAvAsAAKAZAAChGQAAvgsAAKQZAACmGQAAwQsAAKkZAACrGQAAxAsAAK4ZAACvGQAAxgsAALIZAACzGQAAyAsAALYZAAC4GQAAywsAALsZAAC8GQAAzQsAAL8ZAADAGQAAzwsAAMMZAADFGQAA0gsAAMgZAADJGQAA1AsAAMwZAADOGQAA1wsAANEZAADTGQAA2gsAANYZAADXGQAA3AsAANoZAADbGQAA3gsAAN4ZAADgGQAA4QsAAOMZAADkGQAA4wsAAOcZAADpGQAA5gsAAOwZAADuGQAA6QsAAPEZAADyGQAA6wsAAPUZAAD3GQAA7gsAAPoZAAD8GQAA8QsAAP8ZAAAAGgAA8wsAAAMaAAAEGgAA9QsAAAcaAAAJGgAA+AsAAAwaAAANGgAA+gsAABAaAAARGgAA/AsAABQaAAAWGgAA/wsAABkaAAAaGgAAAQwAAB0aAAAfGgAABAwAACIaAAAkGgAABwwAACcaAAAoGgAACQwAACsaAAAsGgAACwwAAC8aAAAxGgAADgwAADQaAAA1GgAAEAwAADgaAAA5GgAAEgwAADwaAAA+GgAAFQwAAEEaAABCGgAAFwwAAEUaAABHGgAAGgwAAEoaAABMGgAAHQwAAE8aAABQGgAAHwwAAFMaAABUGgAAIQwAAFcaAABZGgAAJAwAAFwaAABdGgAAJgwAAGAaAABiGgAAKQwAAGUaAABnGgAALAwAAGoaAABrGgAALgwAAG4aAABwGgAAMQwAAHMaAAB1GgAANAwAAHgaAAB5GgAANgwAAHwaAAB9GgAAOAwAAIAaAACCGgAAOwwAAIUaAACGGgAAPQwAAIkaAACKGgAAPwwAAI0aAACPGgAAQgwAAJIaAACTGgAARAwAAJYaAACYGgAARwwAAJsaAACdGgAASgwAAKAaAAChGgAATAwAAKQaAAClGgAATgwAAKgaAACqGgAAUQwAAK0aAACuGgAAUwwAALEaAACzGgAAVgwAALYaAAC4GgAAWQwAALsaAAC8GgAAWwwAAL8aAADBGgAAXgwAAMQaAADGGgAAYQwAAMkaAADKGgAAYwwAAM0aAADOGgAAZQwAANEaAADTGgAAaAwAANYaAADXGgAAagwAANoaAADbGgAAbAwAAN4aAADgGgAAbwwAAOMaAADkGgAAcQwAAOcaAADpGgAAdAwAAOwaAADuGgAAdwwAAPEaAADyGgAAeQwAAPUaAAD2GgAAewwAAPkaAAD7GgAAfgwAAP4aAAD/GgAAgAwAAAIbAAAEGwAAgwwAAAcbAAAJGwAAhgwAAAwbAAANGwAAiAwAABAbAAASGwAAiwwAABUbAAAXGwAAjgwAABobAAAbGwAAkAwAAB4bAAAfGwAAkgwAACIbAAAkGwAAlQwAACcbAAAoGwAAlwwAACsbAAAsGwAAmQwAAC8bAAAxGwAAnAwAADQbAAA1GwAAngwAADgbAAA6GwAAoQwAAD0bAAA/GwAApAwAAEIbAABDGwAApgwAAEYbAABHGwAAqAwAAEobAABMGwAAqwwAAE8bAABQGwAArQwAAFMbAABVGwAAsAwAAFgbAABaGwAAswwAAF0bAABeGwAAtQwAAGEbAABjGwAAuAwAAGYbAABoGwAAuwwAAGsbAABsGwAAvQwAAG8bAABwGwAAvwwAAHMbAAB1GwAAwgwAAHgbAAB5GwAAxAwAAHwbAAB+GwAAxwwAAIEbAACDGwAAygwAAIYbAACHGwAAzAwAAIobAACMGwAAzwwAAI8bAACRGwAA0gwAAJQbAACVGwAA1AwAAJgbAACZGwAA1gwAAJwbAACeGwAA2QwAAKEbAACiGwAA2wwAAKUbAACnGwAA3gwAAKobAACsGwAA4QwAAK8bAACwGwAA4wwAALMbAAC1GwAA5gwAALgbAAC6GwAA6QwAAL0bAAC+GwAA6wwAAMEbAADCGwAA7QwAAMUbAADHGwAA8AwAAMobAADLGwAA8gwAAM4bAADQGwAA9QwAANMbAADVGwAA+AwAANgbAADZGwAA+gwAANwbAADeGwAA/QwAAOEbAADjGwAAAA0AAOYbAADnGwAAAg0AAOobAADrGwAABA0AAO4bAADwGwAABw0AAPMbAAD0GwAACQ0AAPcbAAD5GwAADA0AAPwbAAD+GwAADw0AAAEcAAACHAAAEQ0AAAUcAAAHHAAAFA0AAAocAAAMHAAAFw0AAA8cAAAQHAAAGQ0AABMcAAAUHAAAGw0AABccAAAZHAAAHg0AABwcAAAdHAAAIA0AACAcAAAiHAAAIw0AACUcAACDFgAAJg0AACgcAAApHAAAKA0AACscAAAtHAAAKw0AADAcAACIFgAALg0AADMcAAA0HAAAMA0AADYcAAA3HAAAMg0AADocAACMFgAANQ0AAD0cAAA+HAAANw0AAEAcAABBHAAAOQ0AAEQcAACQFgAAPA0AAEccAABIHAAAPg0AAEocAAAsHAAAPw0AAE0cAACTFgAAQg0AAFAcAABRHAAARA0AAFMcAABUHAAARg0AAFccAACXFgAASQ0AAFocAABbHAAASw0AAF0cAABfHAAATg0AAGIcAACcFgAAUQ0AAGUcAABmHAAAUw0AAGgcAABpHAAAVQ0AAGwcAACgFgAAWA0AAG8cAABwHAAAWg0AAHIcAABzHAAAXA0AAHYcAACkFgAAXw0AAHkcAAB6HAAAYQ0AAHwcAAB+HAAAZA0AAIEcAACpFgAAZw0AAIQcAACFHAAAaQ0AAIccAACIHAAAaw0AAIscAACtFgAAbg0AAI4cAACPHAAAcA0AAJEcAACTHAAAcw0AAJYcAACyFgAAdg0AAJkcAACaHAAAeA0AAJwcAACdHAAAeg0AAKAcAAC2FgAAfQ0AAKMcAACkHAAAfw0AAKYcAACoHAAAgg0AAKscAAC7FgAAhQ0AAK4cAACvHAAAhw0AALEcAACyHAAAiQ0AALUcAAC/FgAAjA0AALgcAAC5HAAAjg0AALscAAC9HAAAkQ0AAMAcAADEFgAAlA0AAMMcAADEHAAAlg0AAMYcAADIHAAAmQ0AAMscAADJFgAAnA0AAM4cAADPHAAAng0AANEcAADTHAAAoQ0AANYcAADOFgAApA0AANkcAADaHAAApg0AANwcAADeHAAAqQ0AAOEcAADTFgAArA0AAOQcAADlHAAArg0AAOccAADpHAAAsQ0AAOwcAADYFgAAtA0AAO8cAADwHAAAtg0AAPIcAAD0HAAAuQ0AAPccAADdFgAAvA0AAPocAAD7HAAAvg0AAP0cAAD/HAAAwQ0AAAIdAADiFgAAxA0AAAUdAAAGHQAAxg0AAAgdAAAJHQAAyA0AAAwdAADmFgAAyw0AAA8dAAAQHQAAzQ0AABIdAAAUHQAA0A0AABcdAADrFgAA0w0AABodAAAbHQAA1Q0AAB0dAAAfHQAA2A0AACIdAADwFgAA2w0AACUdAAAmHQAA3Q0AACgdAAApHQAA3w0AACwdAAD0FgAA4g0AAC8dAAAwHQAA5A0AADIdAAAzHQAA5g0AADYdAAD4FgAA6Q0AADkdAAA6HQAA6w0AADwdAAA+HQAA7g0AAEEdAAD9FgAA8Q0AAEQdAABFHQAA8w0AAEcdAABIHQAA9Q0AAEsdAAABFwAA+A0AAE4dAABPHQAA+g0AAFEdAABSHQAA/A0AAFUdAAAFFwAA/w0AAFgdAABZHQAAAQ4AAFsdAABdHQAABA4AAGAdAAAKFwAABw4AAGMdAABkHQAACQ4AAGYdAABnHQAACw4AAGodAAAOFwAADg4AAG0dAABuHQAAEA4AAHAdAAATHQAAEQ4AAHMdAAARFwAAFA4AAHYdAAB3HQAAFg4AAHkdAAB7HQAAGQ4AAH4dAAAWFwAAHA4AAIEdAACCHQAAHg4AAIQdAACFHQAAIA4AAIgdAAAaFwAAIw4AAIsdAACMHQAAJQ4AAI4dAACPHQAAJw4AAJIdAAAeFwAAKg4AAJUdAACWHQAALA4AAJgdAACaHQAALw4AAJ0dAAAjFwAAMg4AAKAdAAChHQAANA4AAKMdAACkHQAANg4AAKcdAAAnFwAAOQ4AAKodAACrHQAAOw4AAK0dAACvHQAAPg4AALIdAAAsFwAAQQ4AALUdAAC2HQAAQw4AALgdAAC6HQAARg4AAL0dAAAxFwAASQ4AAMAdAADBHQAASw4AAMMdAADEHQAATQ4AAMcdAAA1FwAAUA4AAModAADLHQAAUg4AAM0dAADOHQAAVA4AANEdAAA5FwAAVw4AANQdAADVHQAAWQ4AANcdAADZHQAAXA4AANwdAAA+FwAAXw4AAN8dAADgHQAAYQ4AAOIdAADjHQAAYw4AAOYdAABCFwAAZg4AAOkdAADqHQAAaA4AAOwdAADtHQAAag4AAPAdAABGFwAAbQ4AAPMdAAD0HQAAbw4AAPYdAAD4HQAAcg4AAPsdAABLFwAAdQ4AAP4dAAD/HQAAdw4AAAEeAAACHgAAeQ4AAAUeAABPFwAAfA4AAAgeAAAJHgAAfg4AAAseAAANHgAAgQ4AABAeAABUFwAAhA4AABMeAAAUHgAAhg4AABYeAAAYHgAAiQ4AABseAABZFwAAjA4AAB4eAAAfHgAAjg4AACEeAAAiHgAAkA4AACUeAABdFwAAkw4AACgeAAApHgAAlQ4AACseAAAsHgAAlw4AAC8eAABhFwAAmg4AADIeAAAzHgAAnA4AADUeAAA3HgAAnw4AADoeAABmFwAAog4AAD0eAAA+HgAApA4AAEAeAABBHgAApg4AAEQeAABqFwAAqQ4AAEceAABIHgAAqw4AAEoeAABMHgAArg4AAE8eAABvFwAAsQ4AAFIeAABTHgAAsw4AAFUeAABXHgAAtg4AAFoeAAB0FwAAuQ4AAF0eAABeHgAAuw4AAGAeAABhHgAAvQ4AAGQeAAB4FwAAwA4AAGceAABoHgAAwg4AAGoeAABrHgAAxA4AAG4eAAB8FwAAxw4AAHEeAAByHgAAyQ4AAHQeAAB2HgAAzA4AAHkeAACBFwAAzw4AAHweAAB9HgAA0Q4AAH8eAACAHgAA0w4AAIMeAACFFwAA1g4AAIYeAACHHgAA2A4AAIkeAACLHgAA2w4AAI4eAACKFwAA3g4AAJEeAACSHgAA4A4AAJQeAACWHgAA4w4AAJkeAACPFwAA5g4AAJweAACdHgAA6A4AAJ8eAACgHgAA6g4AAKMeAACTFwAA7Q4AAKYeAACnHgAA7w4AAKkeAACqHgAA8Q4AAK0eAACXFwAA9A4AALAeAACxHgAA9g4AALMeAAC1HgAA+Q4AALgeAACcFwAA/A4AALseAAC8HgAA/g4AAL4eAAC/HgAAAA8AAMIeAACgFwAAAw8AAMUeAADGHgAABQ8AAMgeAADKHgAACA8AAM0eAAClFwAACw8AANAeAADRHgAADQ8AANMeAADVHgAAEA8AANgeAACqFwAAEw8AANseAADcHgAAFQ8AAN4eAADfHgAAFw8AAOIeAACuFwAAGg8AAOUeAADmHgAAHA8AAOgeAADqHgAAHw8AAO0eAACzFwAAIg8AAPAeAADxHgAAJA8AAPMeAAD1HgAAJw8AAPgeAAC4FwAAKg8AAPseAAD8HgAALA8AAP4eAAD/HgAALg8AAAIfAAC8FwAAMQ8AAAUfAAAGHwAAMw8AAAgfAAAKHwAANg8AAA0fAADBFwAAOQ8AABAfAAARHwAAOw8AABMfAAAVHwAAPg8AABgfAADGFwAAQQ8AABsfAAAcHwAAQw8AAB4fAAAfHwAARQ8AACIfAADKFwAASA8AACUfAAAmHwAASg8AACgfAAAqHwAATQ8AAC0fAADPFwAAUA8AADAfAAAxHwAAUg8AADMfAAA1HwAAVQ8AADgfAADUFwAAWA8AADsfAAA8HwAAWg8AAD4fAAA/HwAAXA8AAEIfAADYFwAAXw8AAEUfAABGHwAAYQ8AAEgfAABKHwAAZA8AAE0fAADdFwAAZw8AAFAfAABRHwAAaQ8AAFMfAABVHwAAbA8AAFgfAADiFwAAbw8AAFsfAABcHwAAcQ8AAF4fAABfHwAAcw8AAGIfAADmFwAAdg8AAGUfAABmHwAAeA8AAGgfAABqHwAAew8AAG0fAADrFwAAfg8AAHAfAABxHwAAgA8AAHMfAAAjHAAAgw8AAHYfAADwFwAAhg8AAHkfAAB6HwAAiA8AAHwfAAB9HwAAig8AAH8fAAD0FwAAjQ8AAIIfAACDHwAAjw8AAIUfAACHHwAAkg8AAIofAAD5FwAAlQ8AAI0fAACOHwAAlw8AAJAfAAAuHAAAmg8AAJMfAAD+FwAAnQ8AAJYfAACXHwAAnw8AAJkfAACaHwAAoQ8AAJwfAAACGAAApA8AAJ8fAACgHwAApg8AAKIfAACjHwAAqA8AAKYfAAAGGAAAqw8AAKkfAACqHwAArQ8AAKwfAAA4HAAAsA8AAK8fAAALGAAAsw8AALIfAACzHwAAtQ8AALUfAAC2HwAAtw8AALgfAAAPGAAAug8AALsfAAC8HwAAvA8AAL4fAAC/HwAAvg8AAMIfAAATGAAAwQ8AAMUfAADGHwAAww8AAMgfAABCHAAAxg8AAMsfAAAYGAAAyQ8AAM4fAADPHwAAyw8AANEfAADSHwAAzQ8AANQfAAAcGAAA0A8AANcfAADYHwAA0g8AANofAACGHwAA0w8AAN0fAAAfGAAA1g8AAOAfAADhHwAA2A8AAOMfAABLHAAA2w8AAOYfAAAkGAAA3g8AAOkfAADqHwAA4A8AAOwfAADtHwAA4g8AAO8fAAAoGAAA5Q8AAPIfAADzHwAA5w8AAPUfAAD2HwAA6Q8AAPkfAAAsGAAA7A8AAPwfAAD9HwAA7g8AAP8fAABVHAAA8Q8AAAIgAAAxGAAA9A8AAAUgAAAGIAAA9g8AAAggAAAJIAAA+A8AAAsgAAA1GAAA+w8AAA4gAAAPIAAA/Q8AABEgAAATIAAAABAAABYgAAA6GAAAAxAAABkgAAAaIAAABRAAABwgAABgHAAACBAAAB8gAAA/GAAACxAAACIgAAAjIAAADRAAACUgAAAmIAAADxAAACggAABDGAAAEhAAACsgAAAsIAAAFBAAAC4gAAAvIAAAFhAAADIgAABHGAAAGRAAADUgAAA2IAAAGxAAADggAABqHAAAHhAAADsgAABMGAAAIRAAAD4gAAA/IAAAIxAAAEEgAABCIAAAJRAAAEQgAABQGAAAKBAAAEcgAABIIAAAKhAAAEogAABLIAAALBAAAE4gAABUGAAALxAAAFEgAABSIAAAMRAAAFQgAAB0HAAANBAAAFcgAABZGAAANxAAAFogAABbIAAAORAAAF0gAABeIAAAOxAAAGAgAABdGAAAPhAAAGMgAABkIAAAQBAAAGYgAABoIAAAQxAAAGsgAABiGAAARhAAAG4gAABvIAAASBAAAHEgAAB/HAAASxAAAHQgAABnGAAAThAAAHcgAAB4IAAAUBAAAHogAAB7IAAAUhAAAH0gAABrGAAAVRAAAIAgAACBIAAAVxAAAIMgAACEIAAAWRAAAIcgAABvGAAAXBAAAIogAACLIAAAXhAAAI0gAACJHAAAYRAAAJAgAAB0GAAAZBAAAJMgAACUIAAAZhAAAJYgAACXIAAAaBAAAJkgAAB4GAAAaxAAAJwgAACdIAAAbRAAAJ8gAAChIAAAcBAAAKQgAAB9GAAAcxAAAKcgAACoIAAAdRAAAKogAACUHAAAeBAAAK0gAACCGAAAexAAALAgAACxIAAAfRAAALMgAAC0IAAAfxAAALYgAACGGAAAghAAALkgAAC6IAAAhBAAALwgAAC9IAAAhhAAAMAgAACKGAAAiRAAAMMgAADEIAAAixAAAMYgAACeHAAAjhAAAMkgAACPGAAAkRAAAMwgAADNIAAAkxAAAM8gAADQIAAAlRAAANIgAACTGAAAmBAAANUgAADWIAAAmhAAANggAADaIAAAnRAAAN0gAACYGAAAoBAAAOAgAADhIAAAohAAAOMgAACpHAAApRAAAOYgAACdGAAAqBAAAOkgAADqIAAAqhAAAOwgAADtIAAArBAAAO8gAAChGAAArxAAAPIgAADzIAAAsRAAAPUgAAD2IAAAsxAAAPkgAAClGAAAthAAAPwgAAD9IAAAuBAAAP8gAACzHAAAuxAAAAIhAACqGAAAvhAAAAUhAAAGIQAAwBAAAAghAAAJIQAAwhAAAAshAACuGAAAxRAAAA4hAAAPIQAAxxAAABEhAAATIQAAyhAAABYhAACzGAAAzRAAABkhAAAaIQAAzxAAABwhAAC+HAAA0hAAAB8hAAC4GAAA1RAAACIhAAAjIQAA1xAAACUhAAAmIQAA2RAAACghAAC8GAAA3BAAACshAAAsIQAA3hAAAC4hAAAwIQAA4RAAADMhAADBGAAA5BAAADYhAAA3IQAA5hAAADkhAADJHAAA6RAAADwhAADGGAAA7BAAAD8hAABAIQAA7hAAAEIhAABDIQAA8BAAAEUhAADKGAAA8xAAAEghAABJIQAA9RAAAEshAABNIQAA+BAAAFAhAADPGAAA+xAAAFMhAABUIQAA/RAAAFYhAADUHAAAABEAAFkhAADUGAAAAxEAAFwhAABdIQAABREAAF8hAABgIQAABxEAAGIhAADYGAAAChEAAGUhAABmIQAADBEAAGghAABqIQAADxEAAG0hAADdGAAAEhEAAHAhAABxIQAAFBEAAHMhAADfHAAAFxEAAHYhAADiGAAAGhEAAHkhAAB6IQAAHBEAAHwhAAB9IQAAHhEAAH8hAADmGAAAIREAAIIhAACDIQAAIxEAAIUhAACHIQAAJhEAAIohAADrGAAAKREAAI0hAACOIQAAKxEAAJAhAADqHAAALhEAAJMhAADwGAAAMREAAJYhAACXIQAAMxEAAJkhAACaIQAANREAAJwhAAD0GAAAOBEAAJ8hAACgIQAAOhEAAKIhAACkIQAAPREAAKchAAD5GAAAQBEAAKohAACrIQAAQhEAAK0hAAD1HAAARREAALAhAAD+GAAASBEAALMhAAC0IQAAShEAALYhAAC3IQAATBEAALkhAAACGQAATxEAALwhAAC9IQAAUREAAL8hAABrHwAAVBEAAMIhAAAHGQAAVxEAAMUhAADGIQAAWREAAMghAAAAHQAAXBEAAMshAAAMGQAAXxEAAM4hAADPIQAAYREAANEhAADSIQAAYxEAANQhAAAQGQAAZhEAANchAADYIQAAaBEAANohAADbIQAAahEAAN0hAAAUGQAAbREAAOAhAADhIQAAbxEAAOMhAAAKHQAAchEAAOYhAAAZGQAAdREAAOkhAADqIQAAdxEAAOwhAADtIQAAeREAAO8hAAAdGQAAfBEAAPIhAADzIQAAfhEAAPUhAAD3IQAAgREAAPohAAAiGQAAhBEAAP0hAAD+IQAAhhEAAAAiAAAVHQAAiREAAAMiAAAnGQAAjBEAAAYiAAAHIgAAjhEAAAkiAAAKIgAAkBEAAAwiAAArGQAAkxEAAA8iAAAQIgAAlREAABIiAACIHwAAmBEAABUiAAAwGQAAmxEAABgiAAAZIgAAnREAABsiAAAgHQAAoBEAAB4iAAA1GQAAoxEAACEiAAAiIgAApREAACQiAAAlIgAApxEAACciAAA5GQAAqhEAACoiAAArIgAArBEAAC0iAAAuIgAArhEAADAiAAA9GQAAsREAADMiAAA0IgAAsxEAADYiAAAqHQAAthEAADkiAABCGQAAuREAADwiAAA9IgAAuxEAAD8iAABAIgAAvREAAEIiAABGGQAAwBEAAEUiAABGIgAAwhEAAEgiAABJIgAAxBEAAEwiAABKGQAAxxEAAE8iAABQIgAAyREAAFIiAAA0HQAAzBEAAFUiAABPGQAAzxEAAFgiAABZIgAA0REAAFsiAABcIgAA0xEAAF4iAABTGQAA1hEAAGEiAABiIgAA2BEAAGQiAACkHwAA2xEAAGciAABYGQAA3hEAAGoiAABrIgAA4BEAAG0iAAA/HQAA4xEAAHAiAABdGQAA5hEAAHMiAAB0IgAA6BEAAHYiAAB3IgAA6hEAAHkiAABhGQAA7REAAHwiAAB9IgAA7xEAAH8iAACAIgAA8REAAIIiAABlGQAA9BEAAIUiAACGIgAA9hEAAIgiAABJHQAA+REAAIsiAABqGQAA/BEAAI4iAACPIgAA/hEAAJEiAACSIgAAABIAAJQiAABuGQAAAxIAAJciAACYIgAABRIAAJoiAACbIgAABxIAAJ4iAAByGQAAChIAAKEiAACiIgAADBIAAKQiAABTHQAADxIAAKciAAB3GQAAEhIAAKoiAACrIgAAFBIAAK0iAACuIgAAFhIAALAiAAB7GQAAGRIAALMiAAC0IgAAGxIAALYiAADAHwAAHhIAALkiAACAGQAAIRIAALwiAAC9IgAAIxIAAL8iAABeHQAAJhIAAMIiAACFGQAAKRIAAMUiAADGIgAAKxIAAMgiAADJIgAALRIAAMsiAACJGQAAMBIAAM4iAADPIgAAMhIAANEiAADSIgAANBIAANQiAACNGQAANxIAANciAADYIgAAORIAANoiAABoHQAAPBIAAN0iAACSGQAAPxIAAOAiAADhIgAAQRIAAOMiAADkIgAAQxIAAOYiAACWGQAARhIAAOkiAADqIgAASBIAAOwiAAD2IQAASRIAAO4iAACZGQAATBIAAPEiAADyIgAAThIAAPQiAABxHQAAURIAAPciAACeGQAAVBIAAPoiAAD7IgAAVhIAAP0iAAD+IgAAWBIAAAAjAACiGQAAWxIAAAMjAAAEIwAAXRIAAAYjAADbHwAAYBIAAAkjAACnGQAAYxIAAAwjAAANIwAAZRIAAA8jAAB8HQAAaBIAABIjAACsGQAAaxIAABUjAAAWIwAAbRIAABgjAAAZIwAAbxIAABsjAACwGQAAchIAAB4jAAAfIwAAdBIAACEjAAAiIwAAdhIAACQjAAC0GQAAeRIAACcjAAAoIwAAexIAACojAACGHQAAfhIAAC0jAAC5GQAAgRIAADAjAAAxIwAAgxIAADMjAAA0IwAAhRIAADYjAAC9GQAAiBIAADkjAAA6IwAAihIAADwjAAA+IwAAjBIAAEEjAADBGQAAjxIAAEQjAABFIwAAkRIAAEcjAACQHQAAlBIAAEojAADGGQAAlxIAAE0jAABOIwAAmRIAAFAjAABRIwAAmxIAAFMjAADKGQAAnhIAAFYjAABXIwAAoBIAAFkjAAD3HwAAoxIAAFwjAADPGQAAphIAAF8jAABgIwAAqBIAAGIjAACbHQAAqxIAAGUjAADUGQAArhIAAGgjAABpIwAAsBIAAGsjAABsIwAAshIAAG4jAADYGQAAtRIAAHEjAAByIwAAtxIAAHQjAAB1IwAAuRIAAHcjAADcGQAAvBIAAHojAAB7IwAAvhIAAH0jAAClHQAAwRIAAIAjAADhGQAAxBIAAIMjAACEIwAAxhIAAIYjAACHIwAAyBIAAIkjAADlGQAAyxIAAIwjAACNIwAAzRIAAI8jAACQIwAA0BIAAJMjAADqGQAA0xIAAJYjAACXIwAA1RIAAJkjAACwHQAA2BIAAJwjAADvGQAA2xIAAJ8jAACgIwAA3RIAAKIjAACjIwAA3xIAAKUjAADzGQAA4hIAAKgjAACpIwAA5BIAAKsjAAAUIAAA5xIAAK4jAAD4GQAA6hIAALEjAACyIwAA7BIAALQjAAC7HQAA7xIAALcjAAD9GQAA8hIAALojAAC7IwAA9BIAAL0jAAC+IwAA9hIAAMAjAAABGgAA+RIAAMMjAADEIwAA+xIAAMYjAADHIwAA/RIAAMkjAAAFGgAAABMAAMwjAADNIwAAAhMAAM8jAADFHQAABRMAANIjAAAKGgAACBMAANUjAADWIwAAChMAANgjAADZIwAADBMAANsjAAAOGgAADxMAAN4jAADfIwAAERMAAOEjAAClIQAAExMAAOMjAAASGgAAFhMAAOYjAADnIwAAGBMAAOkjAADPHQAAGxMAAOwjAAAXGgAAHhMAAO8jAADwIwAAIBMAAPIjAADzIwAAIhMAAPUjAAAbGgAAJRMAAPgjAAD5IwAAJxMAAPsjAAAwIAAAKhMAAP4jAAAgGgAALRMAAAEkAAACJAAALxMAAAQkAADaHQAAMhMAAAckAAAlGgAANRMAAAokAAALJAAANxMAAA0kAAAOJAAAORMAABAkAAApGgAAPBMAABMkAAAUJAAAPhMAABYkAAAXJAAAQBMAABkkAAAtGgAAQxMAABwkAAAdJAAARRMAAB8kAADkHQAASBMAACIkAAAyGgAASxMAACUkAAAmJAAATRMAACgkAAApJAAATxMAACskAAA2GgAAUhMAAC4kAAAvJAAAVBMAADEkAAAzJAAAVhMAADYkAAA6GgAAWRMAADkkAAA6JAAAWxMAADwkAADuHQAAXhMAAD8kAAA/GgAAYRMAAEIkAABDJAAAYxMAAEUkAABGJAAAZRMAAEgkAABDGgAAaBMAAEskAABMJAAAahMAAE4kAABMIAAAbRMAAFEkAABIGgAAcBMAAFQkAABVJAAAchMAAFckAAD5HQAAdRMAAFokAABNGgAAeBMAAF0kAABeJAAAehMAAGAkAABhJAAAfBMAAGMkAABRGgAAfxMAAGYkAABnJAAAgRMAAGkkAABqJAAAgxMAAGwkAABVGgAAhhMAAG8kAABwJAAAiBMAAHIkAAADHgAAixMAAHUkAABaGgAAjhMAAHgkAAB5JAAAkBMAAHskAAB8JAAAkhMAAH4kAABeGgAAlRMAAIEkAACCJAAAlxMAAIQkAAD4IQAAmhMAAIYkAABjGgAAnRMAAIkkAACKJAAAnxMAAIwkAAAOHgAAohMAAI8kAABoGgAApRMAAJIkAACTJAAApxMAAJUkAACWJAAAqRMAAJgkAABsGgAArBMAAJskAACcJAAArhMAAJ4kAABpIAAAsRMAAKEkAABxGgAAtBMAAKQkAAClJAAAthMAAKckAAAZHgAAuRMAAKokAAB2GgAAvBMAAK0kAACuJAAAvhMAALAkAACxJAAAwBMAALMkAAB6GgAAwxMAALYkAAC3JAAAxRMAALkkAAC6JAAAxxMAALwkAAB+GgAAyhMAAL8kAADAJAAAzBMAAMIkAAAjHgAAzxMAAMUkAACDGgAA0hMAAMgkAADJJAAA1BMAAMskAADMJAAA1hMAAM4kAACHGgAA2RMAANEkAADSJAAA2xMAANQkAADWJAAA3RMAANkkAACLGgAA4BMAANwkAADdJAAA4hMAAN8kAAAtHgAA5RMAAOIkAACQGgAA6BMAAOUkAADmJAAA6hMAAOgkAADpJAAA7BMAAOskAACUGgAA7xMAAO4kAADvJAAA8RMAAPEkAACFIAAA9BMAAPQkAACZGgAA9xMAAPckAAD4JAAA+RMAAPokAAA4HgAA/BMAAP0kAACeGgAA/xMAAAAlAAABJQAAARQAAAMlAAAEJQAAAxQAAAYlAACiGgAABhQAAAklAAAKJQAACBQAAAwlAAANJQAAChQAAA8lAACmGgAADRQAABIlAAATJQAADxQAABUlAABCHgAAEhQAABglAACrGgAAFRQAABslAAAcJQAAFxQAAB4lAAAfJQAAGRQAACElAACvGgAAHBQAACQlAAAlJQAAHhQAACclAABKIgAAIRQAACklAAC0GgAAJBQAACwlAAAtJQAAJhQAAC8lAABNHgAAKRQAADIlAAC5GgAALBQAADUlAAA2JQAALhQAADglAAA5JQAAMBQAADslAAC9GgAAMxQAAD4lAAA/JQAANRQAAEElAACiIAAAOBQAAEQlAADCGgAAOxQAAEclAABIJQAAPRQAAEolAABYHgAAQBQAAE0lAADHGgAAQxQAAFAlAABRJQAARRQAAFMlAABUJQAARxQAAFYlAADLGgAAShQAAFklAABaJQAATBQAAFwlAABdJQAAThQAAF8lAADPGgAAURQAAGIlAABjJQAAUxQAAGUlAABiHgAAVhQAAGglAADUGgAAWRQAAGslAABsJQAAWxQAAG4lAABvJQAAXRQAAHElAADYGgAAYBQAAHQlAAB1JQAAYhQAAHclAAB5JQAAZBQAAHwlAADcGgAAZxQAAH8lAACAJQAAaRQAAIIlAABsHgAAbBQAAIUlAADhGgAAbxQAAIglAACJJQAAcRQAAIslAACMJQAAcxQAAI4lAADlGgAAdhQAAJElAACSJQAAeBQAAJQlAAC+IAAAexQAAJclAADqGgAAfhQAAJolAACbJQAAgBQAAJ0lAAB3HgAAgxQAAKAlAADvGgAAhhQAAKMlAACkJQAAiBQAAKYlAACnJQAAihQAAKklAADzGgAAjRQAAKwlAACtJQAAjxQAAK8lAACwJQAAkRQAALIlAAD3GgAAlBQAALUlAAC2JQAAlhQAALglAACBHgAAmRQAALslAAD8GgAAnBQAAL4lAAC/JQAAnhQAAMElAADCJQAAoBQAAMQlAAAAGwAAoxQAAMclAADIJQAApRQAAMolAACcIgAAqBQAAMwlAAAFGwAAqxQAAM8lAADQJQAArRQAANIlAACMHgAAsBQAANUlAAAKGwAAsxQAANglAADZJQAAtRQAANslAADcJQAAtxQAAN4lAAAOGwAAuhQAAOElAADiJQAAvBQAAOQlAADbIAAAvxQAAOclAAATGwAAwhQAAOolAADrJQAAxBQAAO0lAACXHgAAxxQAAPAlAAAYGwAAyhQAAPMlAAD0JQAAzBQAAPYlAAD3JQAAzhQAAPklAAAcGwAA0RQAAPwlAAD9JQAA0xQAAP8lAAAAJgAA1RQAAAImAAAgGwAA2BQAAAUmAAAGJgAA2hQAAAgmAAChHgAA3RQAAAsmAAAlGwAA4BQAAA4mAAAPJgAA4hQAABEmAAASJgAA5BQAABQmAAApGwAA5xQAABcmAAAYJgAA6RQAABomAAA/IwAA6xQAAB4mAAAtGwAA7hQAACEmAAAiJgAA8BQAACQmAACrHgAA8xQAACcmAAAyGwAA9hQAAComAAArJgAA+BQAAC0mAAAuJgAA+hQAADAmAAA2GwAA/RQAADMmAAA0JgAA/xQAADYmAAD3IAAAAhUAADkmAAA7GwAABRUAADwmAAA9JgAABxUAAD8mAAC2HgAAChUAAEImAABAGwAADRUAAEUmAABGJgAADxUAAEgmAABJJgAAERUAAEsmAABEGwAAFBUAAE4mAABPJgAAFhUAAFEmAABSJgAAGBUAAFQmAABIGwAAGxUAAFcmAABYJgAAHRUAAFomAADAHgAAIBUAAF0mAABNGwAAIxUAAGAmAABhJgAAJRUAAGMmAABkJgAAJxUAAGYmAABRGwAAKhUAAGkmAABqJgAALBUAAGwmAACRIwAALxUAAG4mAABWGwAAMhUAAHEmAAByJgAANBUAAHQmAADLHgAANxUAAHcmAABbGwAAOhUAAHomAAB7JgAAPBUAAH0mAAB+JgAAPhUAAIAmAABfGwAAQRUAAIMmAACEJgAAQxUAAIYmAAAUIQAARhUAAIkmAABkGwAASRUAAIwmAACNJgAASxUAAI8mAADWHgAAThUAAJImAABpGwAAURUAAJUmAACWJgAAUxUAAJgmAACZJgAAVRUAAJsmAABtGwAAWBUAAJ4mAACfJgAAWhUAAKEmAACiJgAAXBUAAKQmAABxGwAAXxUAAKcmAACoJgAAYRUAAKomAADgHgAAZBUAAK0mAAB2GwAAZxUAALAmAACxJgAAaRUAALMmAAC0JgAAaxUAALYmAAB6GwAAbhUAALkmAAC6JgAAcBUAALwmAAA0JAAAcxUAAMAmAAB/GwAAdhUAAMMmAADEJgAAeBUAAMYmAADrHgAAexUAAMkmAACEGwAAfhUAAMwmAADNJgAAgBUAAM8mAADQJgAAghUAANImAACIGwAAhRUAANUmAADWJgAAhxUAANgmAAAxIQAAihUAANsmAACNGwAAjRUAAN4mAADfJgAAjxUAAOEmAAD2HgAAkhUAAOQmAACSGwAAlRUAAOcmAADoJgAAlxUAAOomAADrJgAAmRUAAO0mAACWGwAAnBUAAPAmAADxJgAAnhUAAPMmAAD0JgAAoBUAAPYmAACaGwAAoxUAAPkmAAD6JgAApRUAAPwmAAAAHwAAqBUAAP8mAACfGwAAqxUAAAInAAADJwAArRUAAAUnAAAGJwAArxUAAAgnAACjGwAAshUAAAsnAAAMJwAAtBUAAA4nAADXJAAAtxUAABEnAACoGwAAuhUAABQnAAAVJwAAvBUAABcnAAALHwAAvxUAABonAACtGwAAwhUAAB0nAAAeJwAAxBUAACAnAAAhJwAAxhUAACMnAACxGwAAyRUAACYnAAAnJwAAyxUAACknAABOIQAAzhUAACwnAAC2GwAA0RUAAC8nAAAwJwAA0xUAADInAAAWHwAA1hUAADUnAAC7GwAA2RUAADgnAAA5JwAA2xUAADsnAAA8JwAA3RUAAD4nAAC/GwAA4BUAAEEnAABCJwAA4hUAAEQnAABFJwAA5BUAAEcnAADDGwAA5xUAAEonAABLJwAA6RUAAE0nAAAgHwAA7BUAAFAnAADIGwAA7xUAAFMnAABUJwAA8RUAAFYnAABXJwAA8xUAAFknAADMGwAA9hUAAFwnAABdJwAA+BUAAF8nAAB6JQAA+xUAAGInAADRGwAA/hUAAGUnAABmJwAAABYAAGgnAAArHwAAAxYAAGsnAADWGwAABhYAAG4nAABvJwAACBYAAHEnAAByJwAAChYAAHQnAADaGwAADRYAAHcnAAB4JwAADxYAAHonAABrIQAAEhYAAH0nAADfGwAAFRYAAIAnAACBJwAAFxYAAIMnAAA2HwAAGhYAAIYnAADkGwAAHRYAAIknAACKJwAAHxYAAIwnAACNJwAAIRYAAI8nAADoGwAAJBYAAJInAACTJwAAJhYAAJUnAACWJwAAKBYAAJgnAADsGwAAKxYAAJsnAACcJwAALRYAAJ4nAABAHwAAMBYAAKEnAADxGwAAMxYAAKQnAAClJwAANRYAAKcnAACoJwAANxYAAKonAAD1GwAAOhYAAK0nAACuJwAAPBYAALAnAAAcJgAAPxYAALMnAAD6GwAAQhYAALYnAAC3JwAARBYAALknAABLHwAARxYAALwnAAD/GwAAShYAAL8nAADAJwAATBYAAMInAADDJwAAThYAAMUnAAADHAAAURYAAMgnAADJJwAAUxYAAMsnAACIIQAAVhYAAM4nAAAIHAAAWRYAANEnAADSJwAAWxYAANQnAABWHwAAXhYAANcnAAANHAAAYRYAANonAADbJwAAYxYAAN0nAADeJwAAZRYAAOAnAAARHAAAaBYAAOMnAADkJwAAahYAAOYnAADnJwAAbBYAAOknAAAVHAAAbxYAAOwnAADtJwAAcRYAAO8nAABgHwAAdBYAAPInAAAaHAAAdxYAAPUnAAD2JwAAeRYAAPgnAAD5JwAAexYAAPsnAAAeHAAAfhYAAP4nAAD/JwAAgBYAAAEoAACCAgAAAgoAAAMKAACFAgAABQoAAAYKAACHAgAABwoAAAgKAACJAgAACQoAAAoKAACEAgAABAoAAAsKAACMAgAADAoAAA0KAACPAgAADwoAABAKAACRAgAAEQoAABIKAACTAgAAEwoAABQKAACWAgAAFgoAABcKAACYAgAAGAoAABkKAACbAgAAGwoAABwKAACdAgAAHQoAAB4KAACgAgAAIAoAACEKAACiAgAAIgoAACMKAAClAgAAJQoAACYKAACoAgAAKAoAACkKAACrAgAAKwoAACwKAACuAgAALgoAAC8KAACxAgAAMQoAADIKAAC0AgAANAoAADUKAAC3AgAANwoAADgKAAC5AgAAOQoAADoKAAC8AgAAPAoAAD0KAAC/AgAAPwoAAEAKAADBAgAAQQoAAEIKAADDAgAAQwoAAEQKAADGAgAARgoAAEcKAADIAgAASAoAAEkKAADKAgAASgoAAEsKAADNAgAATQoAAE4KAADPAgAATwoAAFAKAAC7AgAAOwoAAFEKAADTAgAAUwoAAFQKAADVAgAAVQoAAFYKAADXAgAAVwoAAFgKAADaAgAAWgoAAFsKAADcAgAAXAoAAF0KAADfAgAAXwoAAGAKAADiAgAAYgoAAGMKAADkAgAAZAoAAGUKAADmAgAAZgoAAGcKAADpAgAAaQoAAGoKAADrAgAAawoAAGwKAADtAgAAbQoAAG4KAADwAgAAcAoAAHEKAADyAgAAcgoAAHMKAAD1AgAAdQoAAHYKAAD4AgAAeAoAAHkKAAD6AgAAegoAAHsKAAD8AgAAfAoAAH0KAAD/AgAAfwoAAIAKAAABAwAAgQoAAIIKAAAEAwAAhAoAAIUKAAAHAwAAhwoAAIgKAAAJAwAAiQoAAIoKAAALAwAAiwoAAIwKAAAOAwAAjgoAAI8KAAAQAwAAkAoAAJEKAAATAwAAkwoAAJQKAAAWAwAAlgoAAJcKAAAYAwAAmAoAAJkKAAAaAwAAmgoAAJsKAAAdAwAAnQoAAJ4KAAAfAwAAnwoAAKAKAAAiAwAAogoAAKMKAAAlAwAApQoAAKYKAAAnAwAApwoAAKgKAAAqAwAAqgoAAKsKAAAtAwAArQoAAK4KAAAvAwAArwoAALAKAAAyAwAAsgoAALMKAAA1AwAAtQoAALYKAAA3AwAAtwoAALgKAAA6AwAAugoAALsKAAA9AwAAvQoAAL4KAAA/AwAAvwoAAMAKAABCAwAAwgoAAMMKAABFAwAAxQoAAMYKAABHAwAAxwoAAMgKAABKAwAAygoAAMsKAABNAwAAzQoAAM4KAABPAwAAzwoAANAKAABSAwAA0goAANMKAABVAwAA1QoAANYKAABXAwAA1woAANgKAABZAwAA2QoAANoKAABcAwAA3AoAAN0KAABeAwAA3goAAN8KAABgAwAA4AoAAOEKAABjAwAA4woAAOQKAABlAwAA5QoAAOYKAABRAwAA0QoAAOcKAABpAwAA6QoAAOoKAABrAwAA6woAAOwKAABtAwAA7QoAAO4KAABwAwAA8AoAAPEKAAByAwAA8goAAPMKAAB1AwAA9QoAAPYKAAB4AwAA+AoAAPkKAAB6AwAA+goAAPsKAAB8AwAA/AoAAP0KAAB/AwAA/woAAAALAACBAwAAAQsAAAILAACDAwAAAwsAAAQLAACGAwAABgsAAAcLAACIAwAACAsAAAkLAACLAwAACwsAAAwLAACOAwAADgsAAA8LAACQAwAAEAsAABELAACSAwAAEgsAABMLAACVAwAAFQsAABYLAACXAwAAFwsAABgLAACaAwAAGgsAABsLAACdAwAAHQsAAB4LAACfAwAAHwsAACALAAChAwAAIQsAACILAACkAwAAJAsAACULAACmAwAAJgsAACcLAACpAwAAKQsAACoLAACsAwAALAsAAC0LAACuAwAALgsAAC8LAACwAwAAMAsAADELAACzAwAAMwsAADQLAAC1AwAANQsAADYLAAC4AwAAOAsAADkLAAC7AwAAOwsAADwLAAC9AwAAPQsAAD4LAADAAwAAQAsAAEELAADDAwAAQwsAAEQLAADFAwAARQsAAEYLAADIAwAASAsAAEkLAADLAwAASwsAAEwLAADNAwAATQsAAE4LAADQAwAAUAsAAFELAADTAwAAUwsAAFQLAADVAwAAVQsAAFYLAADYAwAAWAsAAFkLAADbAwAAWwsAAFwLAADdAwAAXQsAAF4LAADgAwAAYAsAAGELAADjAwAAYwsAAGQLAADlAwAAZQsAAGYLAADoAwAAaAsAAGkLAADrAwAAawsAAGwLAADtAwAAbQsAAG4LAADvAwAAbwsAAHALAADyAwAAcgsAAHMLAAD0AwAAdAsAAHULAAD3AwAAdwsAAHgLAAD6AwAAegsAAHsLAAD8AwAAfAsAAH0LAAD/AwAAfwsAAIALAAACBAAAggsAAIMLAAAEBAAAhAsAAIULAAAGBAAAhgsAAIcLAAAJBAAAiQsAAIoLAAALBAAAiwsAAIwLAAANBAAAjQsAAI4LAAAQBAAAkAsAAJELAAASBAAAkgsAAJMLAAAVBAAAlQsAAJYLAAAYBAAAmAsAAJkLAAAaBAAAmgsAAJsLAAAcBAAAnAsAAJ0LAAAfBAAAnwsAAKALAAAhBAAAoQsAAKILAAAjBAAAowsAAKQLAAAmBAAApgsAAKcLAAAoBAAAqAsAAKkLAAArBAAAqwsAAKwLAAAuBAAArgsAAK8LAAAwBAAAsAsAALELAAAyBAAAsgsAALMLAAA1BAAAtQsAALYLAAA3BAAAtwsAALgLAAD2AwAAdgsAALkLAAA7BAAAuwsAALwLAAA9BAAAvQsAAL4LAABABAAAwAsAAMELAABDBAAAwwsAAMQLAABFBAAAxQsAAMYLAABHBAAAxwsAAMgLAABKBAAAygsAAMsLAABMBAAAzAsAAM0LAABOBAAAzgsAAM8LAABRBAAA0QsAANILAABTBAAA0wsAANQLAABWBAAA1gsAANcLAABZBAAA2QsAANoLAABbBAAA2wsAANwLAABdBAAA3QsAAN4LAABgBAAA4AsAAOELAABiBAAA4gsAAOMLAABlBAAA5QsAAOYLAABoBAAA6AsAAOkLAABqBAAA6gsAAOsLAABtBAAA7QsAAO4LAABwBAAA8AsAAPELAAByBAAA8gsAAPMLAAB0BAAA9AsAAPULAAB3BAAA9wsAAPgLAAB5BAAA+QsAAPoLAAB7BAAA+wsAAPwLAAB+BAAA/gsAAP8LAACABAAAAAwAAAEMAACDBAAAAwwAAAQMAACGBAAABgwAAAcMAACIBAAACAwAAAkMAACKBAAACgwAAAsMAACNBAAADQwAAA4MAACPBAAADwwAABAMAACRBAAAEQwAABIMAACUBAAAFAwAABUMAACWBAAAFgwAABcMAACZBAAAGQwAABoMAACcBAAAHAwAAB0MAACeBAAAHgwAAB8MAACgBAAAIAwAACEMAACjBAAAIwwAACQMAAClBAAAJQwAACYMAACoBAAAKAwAACkMAACrBAAAKwwAACwMAACtBAAALQwAAC4MAACwBAAAMAwAADEMAACzBAAAMwwAADQMAAC1BAAANQwAADYMAAC3BAAANwwAADgMAAC6BAAAOgwAADsMAAC8BAAAPAwAAD0MAAC+BAAAPgwAAD8MAADBBAAAQQwAAEIMAADDBAAAQwwAAEQMAADGBAAARgwAAEcMAADJBAAASQwAAEoMAADLBAAASwwAAEwMAADNBAAATQwAAE4MAADQBAAAUAwAAFEMAADSBAAAUgwAAFMMAADVBAAAVQwAAFYMAADYBAAAWAwAAFkMAADaBAAAWgwAAFsMAADdBAAAXQwAAF4MAADgBAAAYAwAAGEMAADiBAAAYgwAAGMMAADkBAAAZAwAAGUMAADnBAAAZwwAAGgMAADpBAAAaQwAAGoMAADrBAAAawwAAGwMAADuBAAAbgwAAG8MAADwBAAAcAwAAHEMAADzBAAAcwwAAHQMAAD2BAAAdgwAAHcMAAD4BAAAeAwAAHkMAAD6BAAAegwAAHsMAAD9BAAAfQwAAH4MAAD/BAAAfwwAAIAMAAACBQAAggwAAIMMAAAFBQAAhQwAAIYMAAAHBQAAhwwAAIgMAAAKBQAAigwAAIsMAAANBQAAjQwAAI4MAAAPBQAAjwwAAJAMAAARBQAAkQwAAJIMAAAUBQAAlAwAAJUMAAAWBQAAlgwAAJcMAAAYBQAAmAwAAJkMAAAbBQAAmwwAAJwMAAAdBQAAnQwAAJ4MAAAgBQAAoAwAAKEMAAAjBQAAowwAAKQMAAAlBQAApQwAAKYMAAAnBQAApwwAAKgMAAAqBQAAqgwAAKsMAAAsBQAArAwAAK0MAAAvBQAArwwAALAMAAAyBQAAsgwAALMMAAA0BQAAtAwAALUMAAA3BQAAtwwAALgMAAA6BQAAugwAALsMAAA8BQAAvAwAAL0MAAA+BQAAvgwAAL8MAABBBQAAwQwAAMIMAABDBQAAwwwAAMQMAABGBQAAxgwAAMcMAABJBQAAyQwAAMoMAABLBQAAywwAAMwMAABOBQAAzgwAAM8MAABRBQAA0QwAANIMAABTBQAA0wwAANQMAABVBQAA1QwAANYMAABYBQAA2AwAANkMAABaBQAA2gwAANsMAABdBQAA3QwAAN4MAABgBQAA4AwAAOEMAABiBQAA4gwAAOMMAABlBQAA5QwAAOYMAABoBQAA6AwAAOkMAABqBQAA6gwAAOsMAABsBQAA7AwAAO0MAABvBQAA7wwAAPAMAABxBQAA8QwAAPIMAAB0BQAA9AwAAPUMAAB3BQAA9wwAAPgMAAB5BQAA+QwAAPoMAAB8BQAA/AwAAP0MAAB/BQAA/wwAAAANAACBBQAAAQ0AAAINAACDBQAAAw0AAAQNAACGBQAABg0AAAcNAACIBQAACA0AAAkNAACLBQAACw0AAAwNAACOBQAADg0AAA8NAACQBQAAEA0AABENAACTBQAAEw0AABQNAACWBQAAFg0AABcNAACYBQAAGA0AABkNAACaBQAAGg0AABsNAACdBQAAHQ0AAB4NAACfBQAAHw0AACANAACiBQAAIg0AACMNAACDAgAAJQ0AACYNAAClBQAAJw0AACgNAACnBQAAKg0AACsNAACGAgAALQ0AAC4NAACqBQAALw0AADANAACrBQAAMQ0AADINAACIAgAANA0AADUNAACuBQAANg0AADcNAACvBQAAOA0AADkNAACKAgAAOw0AADwNAACyBQAAPQ0AAD4NAACmBQAAKQ0AAD8NAACLAgAAQQ0AAEINAAC1BQAAQw0AAEQNAAC2BQAARQ0AAEYNAACNAgAASA0AAEkNAAC5BQAASg0AAEsNAAC7BQAATQ0AAE4NAACQAgAAUA0AAFENAAC+BQAAUg0AAFMNAAC/BQAAVA0AAFUNAACSAgAAVw0AAFgNAADCBQAAWQ0AAFoNAADDBQAAWw0AAFwNAACUAgAAXg0AAF8NAADGBQAAYA0AAGENAADIBQAAYw0AAGQNAACXAgAAZg0AAGcNAADLBQAAaA0AAGkNAADMBQAAag0AAGsNAACZAgAAbQ0AAG4NAADPBQAAbw0AAHANAADRBQAAcg0AAHMNAACcAgAAdQ0AAHYNAADUBQAAdw0AAHgNAADVBQAAeQ0AAHoNAACeAgAAfA0AAH0NAADYBQAAfg0AAH8NAADaBQAAgQ0AAIINAAChAgAAhA0AAIUNAADdBQAAhg0AAIcNAADeBQAAiA0AAIkNAACjAgAAiw0AAIwNAADhBQAAjQ0AAI4NAADjBQAAkA0AAJENAACmAgAAkw0AAJQNAADmBQAAlQ0AAJYNAADoBQAAmA0AAJkNAACpAgAAmw0AAJwNAADrBQAAnQ0AAJ4NAADtBQAAoA0AAKENAACsAgAAow0AAKQNAADwBQAApQ0AAKYNAADyBQAAqA0AAKkNAACvAgAAqw0AAKwNAAD1BQAArQ0AAK4NAAD3BQAAsA0AALENAACyAgAAsw0AALQNAAD6BQAAtQ0AALYNAAD8BQAAuA0AALkNAAC1AgAAuw0AALwNAAD/BQAAvQ0AAL4NAAABBgAAwA0AAMENAAC4AgAAww0AAMQNAAAEBgAAxQ0AAMYNAAAFBgAAxw0AAMgNAAC6AgAAyg0AAMsNAAAIBgAAzA0AAM0NAAAKBgAAzw0AANANAAC9AgAA0g0AANMNAAANBgAA1A0AANUNAAAPBgAA1w0AANgNAADAAgAA2g0AANsNAAASBgAA3A0AAN0NAAATBgAA3g0AAN8NAADCAgAA4Q0AAOINAAAWBgAA4w0AAOQNAAAXBgAA5Q0AAOYNAADEAgAA6A0AAOkNAAAaBgAA6g0AAOsNAAAcBgAA7Q0AAO4NAADHAgAA8A0AAPENAAAfBgAA8g0AAPMNAAAgBgAA9A0AAPUNAADJAgAA9w0AAPgNAAAjBgAA+Q0AAPoNAAAkBgAA+w0AAPwNAADLAgAA/g0AAP8NAAAnBgAAAA4AAAEOAAApBgAAAw4AAAQOAADOAgAABg4AAAcOAAAsBgAACA4AAAkOAAAtBgAACg4AAAsOAADQAgAADQ4AAA4OAAAwBgAADw4AABAOAAAJBgAAzg0AABEOAADRAgAAEw4AABQOAAAzBgAAFQ4AABYOAAA1BgAAGA4AABkOAADUAgAAGw4AABwOAAA4BgAAHQ4AAB4OAAA5BgAAHw4AACAOAADWAgAAIg4AACMOAAA8BgAAJA4AACUOAAA9BgAAJg4AACcOAADYAgAAKQ4AACoOAABABgAAKw4AACwOAABCBgAALg4AAC8OAADbAgAAMQ4AADIOAABFBgAAMw4AADQOAABGBgAANQ4AADYOAADdAgAAOA4AADkOAABJBgAAOg4AADsOAABLBgAAPQ4AAD4OAADgAgAAQA4AAEEOAABOBgAAQg4AAEMOAABQBgAARQ4AAEYOAADjAgAASA4AAEkOAABTBgAASg4AAEsOAABUBgAATA4AAE0OAADlAgAATw4AAFAOAABXBgAAUQ4AAFIOAABYBgAAUw4AAFQOAADnAgAAVg4AAFcOAABbBgAAWA4AAFkOAABdBgAAWw4AAFwOAADqAgAAXg4AAF8OAABgBgAAYA4AAGEOAABhBgAAYg4AAGMOAADsAgAAZQ4AAGYOAABkBgAAZw4AAGgOAABlBgAAaQ4AAGoOAADuAgAAbA4AAG0OAABoBgAAbg4AAG8OAABqBgAAcQ4AAHIOAADxAgAAdA4AAHUOAABtBgAAdg4AAHcOAABuBgAAeA4AAHkOAADzAgAAew4AAHwOAABxBgAAfQ4AAH4OAABzBgAAgA4AAIEOAAD2AgAAgw4AAIQOAAB2BgAAhQ4AAIYOAAB4BgAAiA4AAIkOAAD5AgAAiw4AAIwOAAB7BgAAjQ4AAI4OAAB8BgAAjw4AAJAOAAD7AgAAkg4AAJMOAAB/BgAAlA4AAJUOAACABgAAlg4AAJcOAAD9AgAAmQ4AAJoOAACDBgAAmw4AAJwOAACFBgAAng4AAJ8OAAAAAwAAoQ4AAKIOAACIBgAAow4AAKQOAACJBgAApQ4AAKYOAAACAwAAqA4AAKkOAACMBgAAqg4AAKsOAACOBgAArQ4AAK4OAAAFAwAAsA4AALEOAACRBgAAsg4AALMOAACTBgAAtQ4AALYOAAAIAwAAuA4AALkOAACWBgAAug4AALsOAACXBgAAvA4AAL0OAAAKAwAAvw4AAMAOAACaBgAAwQ4AAMIOAACbBgAAww4AAMQOAAAMAwAAxg4AAMcOAACeBgAAyA4AAMkOAACgBgAAyw4AAMwOAAAPAwAAzg4AAM8OAACjBgAA0A4AANEOAACkBgAA0g4AANMOAAARAwAA1Q4AANYOAACnBgAA1w4AANgOAACpBgAA2g4AANsOAAAUAwAA3Q4AAN4OAACsBgAA3w4AAOAOAACuBgAA4g4AAOMOAAAXAwAA5Q4AAOYOAACxBgAA5w4AAOgOAACyBgAA6Q4AAOoOAAAZAwAA7A4AAO0OAAC1BgAA7g4AAO8OAAC2BgAA8A4AAPEOAAAbAwAA8w4AAPQOAAC5BgAA9Q4AAPYOAAC7BgAA+A4AAPkOAAAeAwAA+w4AAPwOAAC+BgAA/Q4AAP4OAAC/BgAA/w4AAAAPAAAgAwAAAg8AAAMPAADCBgAABA8AAAUPAADEBgAABw8AAAgPAAAjAwAACg8AAAsPAADHBgAADA8AAA0PAADJBgAADw8AABAPAAAmAwAAEg8AABMPAADMBgAAFA8AABUPAADNBgAAFg8AABcPAAAoAwAAGQ8AABoPAADQBgAAGw8AABwPAADSBgAAHg8AAB8PAAArAwAAIQ8AACIPAADVBgAAIw8AACQPAADXBgAAJg8AACcPAAAuAwAAKQ8AACoPAADaBgAAKw8AACwPAADbBgAALQ8AAC4PAAAwAwAAMA8AADEPAADeBgAAMg8AADMPAADgBgAANQ8AADYPAAAzAwAAOA8AADkPAADjBgAAOg8AADsPAADlBgAAPQ8AAD4PAAA2AwAAQA8AAEEPAADoBgAAQg8AAEMPAADpBgAARA8AAEUPAAA4AwAARw8AAEgPAADsBgAASQ8AAEoPAADuBgAATA8AAE0PAAA7AwAATw8AAFAPAADxBgAAUQ8AAFIPAADzBgAAVA8AAFUPAAA+AwAAVw8AAFgPAAD2BgAAWQ8AAFoPAAD3BgAAWw8AAFwPAABAAwAAXg8AAF8PAAD6BgAAYA8AAGEPAAD8BgAAYw8AAGQPAABDAwAAZg8AAGcPAAD/BgAAaA8AAGkPAAABBwAAaw8AAGwPAABGAwAAbg8AAG8PAAAEBwAAcA8AAHEPAAAFBwAAcg8AAHMPAABIAwAAdQ8AAHYPAAAIBwAAdw8AAHgPAAAKBwAAeg8AAHsPAABLAwAAfQ8AAH4PAAANBwAAfw8AAIAPAACjBQAAgg8AAIMPAABOAwAAhQ8AAIYPAAAQBwAAhw8AAIgPAAARBwAAiQ8AAIoPAABQAwAAjA8AAI0PAAATBwAAjg8AAI8PAAAVBwAAkQ8AAJIPAABTAwAAlA8AAJUPAAAYBwAAlg8AAJcPAACoBQAAmQ8AAJoPAABWAwAAnA8AAJ0PAAAbBwAAng8AAJ8PAAAcBwAAoA8AAKEPAABYAwAAow8AAKQPAAAeBwAApQ8AAKYPAAAfBwAApw8AAKgPAABaAwAAqg8AAKsPAAAiBwAArA8AAK0PAACsBQAArw8AALAPAABdAwAAsg8AALMPAAAlBwAAtA8AALUPAAAmBwAAtg8AALcPAABfAwAAuQ8AALoPAAAoBwAAuw8AALwPAAApBwAAvQ8AAL4PAABhAwAAwA8AAMEPAAAsBwAAwg8AAMMPAACwBQAAxQ8AAMYPAABkAwAAyA8AAMkPAAAvBwAAyg8AAMsPAAAwBwAAzA8AAM0PAABmAwAAzw8AANAPAAAyBwAA0Q8AANIPAAAUBwAAkA8AANMPAABnAwAA1Q8AANYPAAA1BwAA1w8AANgPAACzBQAA2g8AANsPAABqAwAA3Q8AAN4PAAA4BwAA3w8AAOAPAAA5BwAA4Q8AAOIPAABsAwAA5A8AAOUPAAA7BwAA5g8AAOcPAAA8BwAA6A8AAOkPAABuAwAA6w8AAOwPAAA/BwAA7Q8AAO4PAAC3BQAA8A8AAPEPAABxAwAA8w8AAPQPAABCBwAA9Q8AAPYPAABDBwAA9w8AAPgPAABzAwAA+g8AAPsPAABFBwAA/A8AAP0PAABHBwAA/w8AAAAQAAB2AwAAAhAAAAMQAABKBwAABBAAAAUQAAC8BQAABxAAAAgQAAB5AwAAChAAAAsQAABNBwAADBAAAA0QAABOBwAADhAAAA8QAAB7AwAAERAAABIQAABQBwAAExAAABQQAABRBwAAFRAAABYQAAB9AwAAGBAAABkQAABUBwAAGhAAABsQAADABQAAHRAAAB4QAACAAwAAIBAAACEQAABXBwAAIhAAACMQAABYBwAAJBAAACUQAACCAwAAJxAAACgQAABaBwAAKRAAACoQAABbBwAAKxAAACwQAACEAwAALhAAAC8QAABeBwAAMBAAADEQAADEBQAAMxAAADQQAACHAwAANhAAADcQAABhBwAAOBAAADkQAABiBwAAOhAAADsQAACJAwAAPRAAAD4QAABkBwAAPxAAAEAQAABmBwAAQhAAAEMQAACMAwAARRAAAEYQAABpBwAARxAAAEgQAADJBQAAShAAAEsQAACPAwAATRAAAE4QAABsBwAATxAAAFAQAABtBwAAURAAAFIQAACRAwAAVBAAAFUQAABvBwAAVhAAAFcQAABwBwAAWBAAAFkQAACTAwAAWxAAAFwQAABzBwAAXRAAAF4QAADNBQAAYBAAAGEQAACWAwAAYxAAAGQQAAB2BwAAZRAAAGYQAAB3BwAAZxAAAGgQAACYAwAAahAAAGsQAAB5BwAAbBAAAG0QAAB7BwAAbxAAAHAQAACbAwAAchAAAHMQAAB+BwAAdBAAAHUQAADSBQAAdxAAAHgQAACeAwAAehAAAHsQAACBBwAAfBAAAH0QAACCBwAAfhAAAH8QAACgAwAAgRAAAIIQAACEBwAAgxAAAIQQAACFBwAAhRAAAIYQAACiAwAAiBAAAIkQAACIBwAAihAAAIsQAADWBQAAjRAAAI4QAAClAwAAkBAAAJEQAACLBwAAkhAAAJMQAACMBwAAlBAAAJUQAACnAwAAlxAAAJgQAACOBwAAmRAAAJoQAACQBwAAnBAAAJ0QAACqAwAAnxAAAKAQAACTBwAAoRAAAKIQAADbBQAApBAAAKUQAACtAwAApxAAAKgQAACWBwAAqRAAAKoQAACXBwAAqxAAAKwQAACvAwAArhAAAK8QAACZBwAAsBAAALEQAACaBwAAshAAALMQAACxAwAAtRAAALYQAACdBwAAtxAAALgQAADfBQAAuhAAALsQAAC0AwAAvRAAAL4QAACgBwAAvxAAAMAQAAChBwAAwRAAAMIQAAC2AwAAxBAAAMUQAACjBwAAxhAAAMcQAAClBwAAyRAAAMoQAAC5AwAAzBAAAM0QAACoBwAAzhAAAM8QAADkBQAA0RAAANIQAAC8AwAA1BAAANUQAACrBwAA1hAAANcQAACsBwAA2BAAANkQAAC+AwAA2xAAANwQAACuBwAA3RAAAN4QAACwBwAA4BAAAOEQAADBAwAA4xAAAOQQAACzBwAA5RAAAOYQAADpBQAA6BAAAOkQAADEAwAA6xAAAOwQAAC2BwAA7RAAAO4QAAC3BwAA7xAAAPAQAADGAwAA8hAAAPMQAAC5BwAA9BAAAPUQAAC7BwAA9xAAAPgQAADJAwAA+hAAAPsQAAC+BwAA/BAAAP0QAADuBQAA/xAAAAARAADMAwAAAhEAAAMRAADBBwAABBEAAAURAADCBwAABhEAAAcRAADOAwAACREAAAoRAADEBwAACxEAAAwRAADGBwAADhEAAA8RAADRAwAAEREAABIRAADJBwAAExEAABQRAADzBQAAFhEAABcRAADUAwAAGREAABoRAADMBwAAGxEAABwRAADNBwAAHREAAB4RAADWAwAAIBEAACERAADPBwAAIhEAACMRAADRBwAAJREAACYRAADZAwAAKBEAACkRAADUBwAAKhEAACsRAAD4BQAALREAAC4RAADcAwAAMBEAADERAADXBwAAMhEAADMRAADYBwAANBEAADURAADeAwAANxEAADgRAADaBwAAOREAADoRAADcBwAAPBEAAD0RAADhAwAAPxEAAEARAADfBwAAQREAAEIRAAD9BQAARBEAAEURAADkAwAARxEAAEgRAADiBwAASREAAEoRAADjBwAASxEAAEwRAADmAwAAThEAAE8RAADlBwAAUBEAAFERAAALBwAAUxEAAFQRAADpAwAAVhEAAFcRAADoBwAAWBEAAFkRAAACBgAAWxEAAFwRAADsAwAAXhEAAF8RAADrBwAAYBEAAGERAADsBwAAYhEAAGMRAADuAwAAZREAAGYRAADuBwAAZxEAAGgRAADvBwAAaREAAGoRAADwAwAAbBEAAG0RAADxBwAAbhEAAG8RAAAGBgAAcREAAHIRAADzAwAAdBEAAHURAAD0BwAAdhEAAHcRAAD1BwAAeBEAAHkRAAD1AwAAexEAAHwRAAD3BwAAfREAAH4RAAD5BwAAgBEAAIERAAD4AwAAgxEAAIQRAAD8BwAAhREAAIYRAAALBgAAiBEAAIkRAAD7AwAAixEAAIwRAAD/BwAAjREAAI4RAAAACAAAjxEAAJARAAD9AwAAkhEAAJMRAAACCAAAlBEAAJURAAAWBwAAlxEAAJgRAAAABAAAmhEAAJsRAAAFCAAAnBEAAJ0RAAAQBgAAnxEAAKARAAADBAAAohEAAKMRAAAICAAApBEAAKURAAAJCAAAphEAAKcRAAAFBAAAqREAAKoRAAALCAAAqxEAAKwRAAAMCAAArREAAK4RAAAHBAAAsBEAALERAAAOCAAAshEAALMRAAAUBgAAtREAALYRAAAKBAAAuBEAALkRAAARCAAAuhEAALsRAAASCAAAvBEAAL0RAAAMBAAAvxEAAMARAAAUCAAAwREAAMIRAAAVCAAAwxEAAMQRAAAOBAAAxhEAAMcRAAAYCAAAyBEAAMkRAAAYBgAAyxEAAMwRAAARBAAAzhEAAM8RAAAbCAAA0BEAANERAAAcCAAA0hEAANMRAAATBAAA1REAANYRAAAeCAAA1xEAANgRAAAgBwAA2hEAANsRAAAWBAAA3REAAN4RAAAhCAAA3xEAAOARAAAdBgAA4hEAAOMRAAAZBAAA5REAAOYRAAAkCAAA5xEAAOgRAAAlCAAA6REAAOoRAAAbBAAA7BEAAO0RAAAnCAAA7hEAAO8RAAAoCAAA8BEAAPERAAAdBAAA8xEAAPQRAAAqCAAA9REAAPYRAAAhBgAA+BEAAPkRAAAgBAAA+xEAAPwRAAAtCAAA/REAAP4RAAAuCAAA/xEAAAASAAAiBAAAAhIAAAMSAAAwCAAABBIAAAUSAAAxCAAABhIAAAcSAAAkBAAACRIAAAoSAAA0CAAACxIAAAwSAAAlBgAADhIAAA8SAAAnBAAAERIAABISAAA3CAAAExIAABQSAAA4CAAAFRIAABYSAAApBAAAGBIAABkSAAA6CAAAGhIAABsSAAAqBwAAHRIAAB4SAAAsBAAAIBIAACESAAA9CAAAIhIAACMSAAAqBgAAJRIAACYSAAAvBAAAKBIAACkSAABACAAAKhIAACsSAABBCAAALBIAAC0SAAAxBAAALxIAADASAABDCAAAMRIAADISAABECAAAMxIAADQSAAAzBAAANhIAADcSAABGCAAAOBIAADkSAAAuBgAAOxIAADwSAAA2BAAAPhIAAD8SAABJCAAAQBIAAEESAABKCAAAQhIAAEMSAAA4BAAARRIAAEYSAABMCAAARxIAAEgSAAD4BwAAfxEAAEkSAAA5BAAASxIAAEwSAABOCAAATRIAAE4SAAAxBgAAUBIAAFESAAA8BAAAUxIAAFQSAABRCAAAVRIAAFYSAABSCAAAVxIAAFgSAAA+BAAAWhIAAFsSAABUCAAAXBIAAF0SAAAzBwAAXxIAAGASAABBBAAAYhIAAGMSAABXCAAAZBIAAGUSAAA2BgAAZxIAAGgSAABEBAAAahIAAGsSAABaCAAAbBIAAG0SAABbCAAAbhIAAG8SAABGBAAAcRIAAHISAABdCAAAcxIAAHQSAABeCAAAdRIAAHYSAABIBAAAeBIAAHkSAABgCAAAehIAAHsSAAA6BgAAfRIAAH4SAABLBAAAgBIAAIESAABjCAAAghIAAIMSAABkCAAAhBIAAIUSAABNBAAAhxIAAIgSAABmCAAAiRIAAIoSAABoCAAAixIAAIwSAABPBAAAjhIAAI8SAABrCAAAkBIAAJESAAA+BgAAkxIAAJQSAABSBAAAlhIAAJcSAABuCAAAmBIAAJkSAABvCAAAmhIAAJsSAABUBAAAnRIAAJ4SAABxCAAAnxIAAKASAAA9BwAAohIAAKMSAABXBAAApRIAAKYSAAB0CAAApxIAAKgSAABDBgAAqhIAAKsSAABaBAAArRIAAK4SAAB3CAAArxIAALASAAB4CAAAsRIAALISAABcBAAAtBIAALUSAAB6CAAAthIAALcSAAB7CAAAuBIAALkSAABeBAAAuxIAALwSAAB9CAAAvRIAAL4SAABHBgAAwBIAAMESAABhBAAAwxIAAMQSAACACAAAxRIAAMYSAACBCAAAxxIAAMgSAABjBAAAyhIAAMsSAACDCAAAzBIAAM0SAACECAAAzxIAANASAABmBAAA0hIAANMSAACHCAAA1BIAANUSAABMBgAA1xIAANgSAABpBAAA2hIAANsSAACKCAAA3BIAAN0SAACLCAAA3hIAAN8SAABrBAAA4RIAAOISAACNCAAA4xIAAOQSAABIBwAA5hIAAOcSAABuBAAA6RIAAOoSAACQCAAA6xIAAOwSAABRBgAA7hIAAO8SAABxBAAA8RIAAPISAACTCAAA8xIAAPQSAACUCAAA9RIAAPYSAABzBAAA+BIAAPkSAACWCAAA+hIAAPsSAACXCAAA/BIAAP0SAAB1BAAA/xIAAAATAACZCAAAARMAAAITAABVBgAABBMAAAUTAAB4BAAABxMAAAgTAACcCAAACRMAAAoTAACdCAAACxMAAAwTAAB6BAAADhMAAA8TAACfCAAAEBMAABETAADdBwAAEhMAABMTAAB8BAAAFRMAABYTAAChCAAAFxMAABgTAABZBgAAGhMAABsTAAB/BAAAHRMAAB4TAACkCAAAHxMAACATAAClCAAAIRMAACITAACBBAAAJBMAACUTAACnCAAAJhMAACcTAABSBwAAKRMAACoTAACEBAAALBMAAC0TAACqCAAALhMAAC8TAABeBgAAMRMAADITAACHBAAANBMAADUTAACtCAAANhMAADcTAACuCAAAOBMAADkTAACJBAAAOxMAADwTAACwCAAAPRMAAD4TAACxCAAAPxMAAEATAACLBAAAQhMAAEMTAACzCAAARBMAAEUTAABiBgAARxMAAEgTAACOBAAAShMAAEsTAAC2CAAATBMAAE0TAAC3CAAAThMAAE8TAACQBAAAURMAAFITAAC5CAAAUxMAAFQTAAC7CAAAVRMAAFYTAACSBAAAWBMAAFkTAAC+CAAAWhMAAFsTAABmBgAAXRMAAF4TAACVBAAAYBMAAGETAADBCAAAYhMAAGMTAADCCAAAZBMAAGUTAACXBAAAZxMAAGgTAADECAAAaRMAAGoTAABcBwAAbBMAAG0TAACaBAAAbxMAAHATAADHCAAAcRMAAHITAABrBgAAdBMAAHUTAACdBAAAdxMAAHgTAADKCAAAeRMAAHoTAADLCAAAexMAAHwTAACfBAAAfhMAAH8TAADNCAAAgBMAAIETAADOCAAAghMAAIMTAAChBAAAhRMAAIYTAADQCAAAhxMAAIgTAABvBgAAihMAAIsTAACkBAAAjRMAAI4TAADTCAAAjxMAAJATAADUCAAAkRMAAJITAACmBAAAlBMAAJUTAADWCAAAlhMAAJcTAAD6BwAAmRMAAJoTAACpBAAAnBMAAJ0TAADYCAAAnhMAAJ8TAAB0BgAAoRMAAKITAACsBAAApBMAAKUTAADbCAAAphMAAKcTAADcCAAAqBMAAKkTAACuBAAAqxMAAKwTAADeCAAArRMAAK4TAABnBwAAsBMAALETAACxBAAAsxMAALQTAADhCAAAtRMAALYTAAB5BgAAuBMAALkTAAC0BAAAuxMAALwTAADkCAAAvRMAAL4TAADlCAAAvxMAAMATAAC2BAAAwhMAAMMTAADnCAAAxBMAAMUTAADoCAAAxhMAAMcTAAC4BAAAyRMAAMoTAADqCAAAyxMAAMwTAAB9BgAAzhMAAM8TAAC7BAAA0RMAANITAADtCAAA0xMAANQTAADuCAAA1RMAANYTAAC9BAAA2BMAANkTAADwCAAA2hMAANsTAADyCAAA3BMAAN0TAAC/BAAA3xMAAOATAAD1CAAA4RMAAOITAACBBgAA5BMAAOUTAADCBAAA5xMAAOgTAAD4CAAA6RMAAOoTAAD5CAAA6xMAAOwTAADEBAAA7hMAAO8TAAD7CAAA8BMAAPETAABxBwAA8xMAAPQTAADHBAAA9hMAAPcTAAD+CAAA+BMAAPkTAACGBgAA+xMAAPwTAADKBAAA/hMAAP8TAAABCQAAABQAAAEUAAACCQAAAhQAAAMUAADMBAAABRQAAAYUAAAECQAABxQAAAgUAAAFCQAACRQAAAoUAADOBAAADBQAAA0UAAAHCQAADhQAAA8UAACKBgAAERQAABIUAADRBAAAFBQAABUUAAAKCQAAFhQAABcUAAALCQAAGBQAABkUAADTBAAAGxQAABwUAAANCQAAHRQAAB4UAAAWCAAAIBQAACEUAADWBAAAIxQAACQUAAAPCQAAJRQAACYUAACPBgAAKBQAACkUAADZBAAAKxQAACwUAAASCQAALRQAAC4UAAATCQAALxQAADAUAADbBAAAMhQAADMUAAAVCQAANBQAADUUAAB8BwAANxQAADgUAADeBAAAOhQAADsUAAAYCQAAPBQAAD0UAACUBgAAPxQAAEAUAADhBAAAQhQAAEMUAAAbCQAARBQAAEUUAAAcCQAARhQAAEcUAADjBAAASRQAAEoUAAAeCQAASxQAAEwUAAAfCQAATRQAAE4UAADlBAAAUBQAAFEUAAAhCQAAUhQAAFMUAACYBgAAVRQAAFYUAADoBAAAWBQAAFkUAAAkCQAAWhQAAFsUAAAlCQAAXBQAAF0UAADqBAAAXxQAAGAUAAAnCQAAYRQAAGIUAAApCQAAYxQAAGQUAADsBAAAZhQAAGcUAAAsCQAAaBQAAGkUAACcBgAAaxQAAGwUAADvBAAAbhQAAG8UAAAvCQAAcBQAAHEUAAAwCQAAchQAAHMUAADxBAAAdRQAAHYUAAAyCQAAdxQAAHgUAACGBwAAehQAAHsUAAD0BAAAfRQAAH4UAAA1CQAAfxQAAIAUAAChBgAAghQAAIMUAAD3BAAAhRQAAIYUAAA4CQAAhxQAAIgUAAA5CQAAiRQAAIoUAAD5BAAAjBQAAI0UAAA7CQAAjhQAAI8UAAA8CQAAkBQAAJEUAAD7BAAAkxQAAJQUAAA+CQAAlRQAAJYUAAClBgAAmBQAAJkUAAD+BAAAmxQAAJwUAABBCQAAnRQAAJ4UAABCCQAAnxQAAKAUAAAABQAAohQAAKMUAABECQAApBQAAKUUAAAyCAAApxQAAKgUAAADBQAAqhQAAKsUAABGCQAArBQAAK0UAACqBgAArxQAALAUAAAGBQAAshQAALMUAABJCQAAtBQAALUUAABKCQAAthQAALcUAAAIBQAAuRQAALoUAABMCQAAuxQAALwUAACRBwAAvhQAAL8UAAALBQAAwRQAAMIUAABPCQAAwxQAAMQUAACvBgAAxhQAAMcUAAAOBQAAyRQAAMoUAABSCQAAyxQAAMwUAABTCQAAzRQAAM4UAAAQBQAA0BQAANEUAABVCQAA0hQAANMUAABWCQAA1BQAANUUAAASBQAA1xQAANgUAABYCQAA2RQAANoUAACzBgAA3BQAAN0UAAAVBQAA3xQAAOAUAABbCQAA4RQAAOIUAABcCQAA4xQAAOQUAAAXBQAA5hQAAOcUAABeCQAA6BQAAOkUAABpCAAA6hQAAOsUAAAZBQAA7RQAAO4UAABiCQAA7xQAAPAUAAC3BgAA8hQAAPMUAAAcBQAA9RQAAPYUAABlCQAA9xQAAPgUAABmCQAA+RQAAPoUAAAeBQAA/BQAAP0UAABoCQAA/hQAAP8UAACbBwAAARUAAAIVAAAhBQAABBUAAAUVAABrCQAABhUAAAcVAAC8BgAACRUAAAoVAAAkBQAADBUAAA0VAABuCQAADhUAAA8VAABvCQAAEBUAABEVAAAmBQAAExUAABQVAABxCQAAFRUAABYVAAByCQAAFxUAABgVAAAoBQAAGhUAABsVAAB0CQAAHBUAAB0VAADABgAAHxUAACAVAAArBQAAIhUAACMVAAB3CQAAJBUAACUVAAB4CQAAJhUAACcVAAAtBQAAKRUAACoVAAB6CQAAKxUAACwVAACFCAAALhUAAC8VAAAwBQAAMRUAADIVAAB8CQAAMxUAADQVAADFBgAANhUAADcVAAAzBQAAORUAADoVAAB/CQAAOxUAADwVAACACQAAPRUAAD4VAAA1BQAAQBUAAEEVAACCCQAAQhUAAEMVAACmBwAARRUAAEYVAAA4BQAASBUAAEkVAACFCQAAShUAAEsVAADKBgAATRUAAE4VAAA7BQAAUBUAAFEVAACICQAAUhUAAFMVAACJCQAAVBUAAFUVAAA9BQAAVxUAAFgVAACLCQAAWRUAAFoVAACMCQAAWxUAAFwVAAA/BQAAXhUAAF8VAACOCQAAYBUAAGEVAADOBgAAYxUAAGQVAABCBQAAZhUAAGcVAACRCQAAaBUAAGkVAACSCQAAahUAAGsVAABEBQAAbRUAAG4VAACUCQAAbxUAAHAVAAC8CAAAchUAAHMVAABHBQAAdRUAAHYVAACYCQAAdxUAAHgVAADTBgAAehUAAHsVAABKBQAAfRUAAH4VAACbCQAAfxUAAIAVAACcCQAAgRUAAIIVAABMBQAAhBUAAIUVAACeCQAAhhUAAIcVAACxBwAAiRUAAIoVAABPBQAAjBUAAI0VAAChCQAAjhUAAI8VAADYBgAAkRUAAJIVAABSBQAAlBUAAJUVAACkCQAAlhUAAJcVAAClCQAAmBUAAJkVAABUBQAAmxUAAJwVAACnCQAAnRUAAJ4VAACoCQAAnxUAAKAVAABWBQAAohUAAKMVAACqCQAApBUAAKUVAADcBgAApxUAAKgVAABZBQAAqhUAAKsVAACtCQAArBUAAK0VAACuCQAArhUAAK8VAABbBQAAsRUAALIVAACwCQAAsxUAALQVAADzCAAAthUAALcVAABeBQAAuRUAALoVAACzCQAAuxUAALwVAADhBgAAvhUAAL8VAABhBQAAwRUAAMIVAAC2CQAAwxUAAMQVAAC3CQAAxRUAAMYVAABjBQAAyBUAAMkVAAC5CQAAyhUAAMsVAAC8BwAAzRUAAM4VAABmBQAA0BUAANEVAAC8CQAA0hUAANMVAADmBgAA1RUAANYVAABpBQAA2BUAANkVAAC/CQAA2hUAANsVAADACQAA3BUAAN0VAABrBQAA3xUAAOAVAADCCQAA4RUAAOIVAADDCQAA4xUAAOQVAABtBQAA5hUAAOcVAADFCQAA6BUAAOkVAADqBgAA6xUAAOwVAABwBQAA7hUAAO8VAADICQAA8BUAAPEVAADJCQAA8hUAAPMVAAByBQAA9RUAAPYVAADLCQAA9xUAAPgVAAAqCQAA+hUAAPsVAAB1BQAA/RUAAP4VAADOCQAA/xUAAAAWAADvBgAAAhYAAAMWAAB4BQAABRYAAAYWAADRCQAABxYAAAgWAADSCQAACRYAAAoWAAB6BQAADBYAAA0WAADUCQAADhYAAA8WAADHBwAAERYAABIWAAB9BQAAFBYAABUWAADXCQAAFhYAABcWAAD0BgAAGRYAABoWAACABQAAHBYAAB0WAADaCQAAHhYAAB8WAADbCQAAIBYAACEWAACCBQAAIxYAACQWAADdCQAAJRYAACYWAADeCQAAJxYAACgWAACEBQAAKhYAACsWAADgCQAALBYAAC0WAAD4BgAALxYAADAWAACHBQAAMhYAADMWAADjCQAANBYAADUWAADkCQAANhYAADcWAACJBQAAORYAADoWAADmCQAAOxYAADwWAABgCQAAPhYAAD8WAACMBQAAQRYAAEIWAADpCQAAQxYAAEQWAAD9BgAARhYAAEcWAACPBQAASRYAAEoWAADsCQAASxYAAEwWAADtCQAATRYAAE4WAACRBQAAUBYAAFEWAADvCQAAUhYAAFMWAADSBwAAVRYAAFYWAACUBQAAWBYAAFkWAADyCQAAWhYAAFsWAAACBwAAXRYAAF4WAACXBQAAYBYAAGEWAAD1CQAAYhYAAGMWAAD2CQAAZBYAAGUWAACZBQAAZxYAAGgWAAD4CQAAaRYAAGoWAAD5CQAAaxYAAGwWAACbBQAAbhYAAG8WAAD7CQAAcBYAAHEWAAAGBwAAcxYAAHQWAACeBQAAdhYAAHcWAAD+CQAAeBYAAHkWAAD/CQAAehYAAHsWAACgBQAAfRYAAH4WAAABCgAAfxYAAIAWAACiAAAAghYAAIMWAACCAgAAAwoAAIQWAACDAgAAhRYAACUNAAClAAAAhxYAAIgWAACFAgAABgoAAIkWAACGAgAAihYAAC0NAACnAAAAixYAAIwWAACHAgAACAoAAI0WAACIAgAAjhYAADQNAACpAAAAjxYAAJAWAACJAgAACgoAAJEWAACKAgAAkhYAADsNAACkAAAAhhYAAJMWAACEAgAACwoAAJQWAACLAgAAlRYAAEENAACsAAAAlhYAAJcWAACMAgAADQoAAJgWAACNAgAAmRYAAEgNAACvAAAAmxYAAJwWAACPAgAAEAoAAJ0WAACQAgAAnhYAAFANAACxAAAAnxYAAKAWAACRAgAAEgoAAKEWAACSAgAAohYAAFcNAACzAAAAoxYAAKQWAACTAgAAFAoAAKUWAACUAgAAphYAAF4NAAC2AAAAqBYAAKkWAACWAgAAFwoAAKoWAACXAgAAqxYAAGYNAAC4AAAArBYAAK0WAACYAgAAGQoAAK4WAACZAgAArxYAAG0NAAC7AAAAsRYAALIWAACbAgAAHAoAALMWAACcAgAAtBYAAHUNAAC9AAAAtRYAALYWAACdAgAAHgoAALcWAACeAgAAuBYAAHwNAADAAAAAuhYAALsWAACgAgAAIQoAALwWAAChAgAAvRYAAIQNAADCAAAAvhYAAL8WAACiAgAAIwoAAMAWAACjAgAAwRYAAIsNAADFAAAAwxYAAMQWAAClAgAAJgoAAMUWAACmAgAAxhYAAJMNAADIAAAAyBYAAMkWAACoAgAAKQoAAMoWAACpAgAAyxYAAJsNAADLAAAAzRYAAM4WAACrAgAALAoAAM8WAACsAgAA0BYAAKMNAADOAAAA0hYAANMWAACuAgAALwoAANQWAACvAgAA1RYAAKsNAADRAAAA1xYAANgWAACxAgAAMgoAANkWAACyAgAA2hYAALMNAADUAAAA3BYAAN0WAAC0AgAANQoAAN4WAAC1AgAA3xYAALsNAADXAAAA4RYAAOIWAAC3AgAAOAoAAOMWAAC4AgAA5BYAAMMNAADZAAAA5RYAAOYWAAC5AgAAOgoAAOcWAAC6AgAA6BYAAMoNAADcAAAA6hYAAOsWAAC8AgAAPQoAAOwWAAC9AgAA7RYAANINAADfAAAA7xYAAPAWAAC/AgAAQAoAAPEWAADAAgAA8hYAANoNAADhAAAA8xYAAPQWAADBAgAAQgoAAPUWAADCAgAA9hYAAOENAADjAAAA9xYAAPgWAADDAgAARAoAAPkWAADEAgAA+hYAAOgNAADmAAAA/BYAAP0WAADGAgAARwoAAP4WAADHAgAA/xYAAPANAADoAAAAABcAAAEXAADIAgAASQoAAAIXAADJAgAAAxcAAPcNAADqAAAABBcAAAUXAADKAgAASwoAAAYXAADLAgAABxcAAP4NAADtAAAACRcAAAoXAADNAgAATgoAAAsXAADOAgAADBcAAAYOAADvAAAADRcAAA4XAADPAgAAUAoAAA8XAADQAgAAEBcAAA0OAADbAAAA6RYAABEXAAC7AgAAUQoAABIXAADRAgAAExcAABMOAADzAAAAFRcAABYXAADTAgAAVAoAABcXAADUAgAAGBcAABsOAAD1AAAAGRcAABoXAADVAgAAVgoAABsXAADWAgAAHBcAACIOAAD3AAAAHRcAAB4XAADXAgAAWAoAAB8XAADYAgAAIBcAACkOAAD6AAAAIhcAACMXAADaAgAAWwoAACQXAADbAgAAJRcAADEOAAD8AAAAJhcAACcXAADcAgAAXQoAACgXAADdAgAAKRcAADgOAAD/AAAAKxcAACwXAADfAgAAYAoAAC0XAADgAgAALhcAAEAOAAACAQAAMBcAADEXAADiAgAAYwoAADIXAADjAgAAMxcAAEgOAAAEAQAANBcAADUXAADkAgAAZQoAADYXAADlAgAANxcAAE8OAAAGAQAAOBcAADkXAADmAgAAZwoAADoXAADnAgAAOxcAAFYOAAAJAQAAPRcAAD4XAADpAgAAagoAAD8XAADqAgAAQBcAAF4OAAALAQAAQRcAAEIXAADrAgAAbAoAAEMXAADsAgAARBcAAGUOAAANAQAARRcAAEYXAADtAgAAbgoAAEcXAADuAgAASBcAAGwOAAAQAQAAShcAAEsXAADwAgAAcQoAAEwXAADxAgAATRcAAHQOAAASAQAAThcAAE8XAADyAgAAcwoAAFAXAADzAgAAURcAAHsOAAAVAQAAUxcAAFQXAAD1AgAAdgoAAFUXAAD2AgAAVhcAAIMOAAAYAQAAWBcAAFkXAAD4AgAAeQoAAFoXAAD5AgAAWxcAAIsOAAAaAQAAXBcAAF0XAAD6AgAAewoAAF4XAAD7AgAAXxcAAJIOAAAcAQAAYBcAAGEXAAD8AgAAfQoAAGIXAAD9AgAAYxcAAJkOAAAfAQAAZRcAAGYXAAD/AgAAgAoAAGcXAAAAAwAAaBcAAKEOAAAhAQAAaRcAAGoXAAABAwAAggoAAGsXAAACAwAAbBcAAKgOAAAkAQAAbhcAAG8XAAAEAwAAhQoAAHAXAAAFAwAAcRcAALAOAAAnAQAAcxcAAHQXAAAHAwAAiAoAAHUXAAAIAwAAdhcAALgOAAApAQAAdxcAAHgXAAAJAwAAigoAAHkXAAAKAwAAehcAAL8OAAArAQAAexcAAHwXAAALAwAAjAoAAH0XAAAMAwAAfhcAAMYOAAAuAQAAgBcAAIEXAAAOAwAAjwoAAIIXAAAPAwAAgxcAAM4OAAAwAQAAhBcAAIUXAAAQAwAAkQoAAIYXAAARAwAAhxcAANUOAAAzAQAAiRcAAIoXAAATAwAAlAoAAIsXAAAUAwAAjBcAAN0OAAA2AQAAjhcAAI8XAAAWAwAAlwoAAJAXAAAXAwAAkRcAAOUOAAA4AQAAkhcAAJMXAAAYAwAAmQoAAJQXAAAZAwAAlRcAAOwOAAA6AQAAlhcAAJcXAAAaAwAAmwoAAJgXAAAbAwAAmRcAAPMOAAA9AQAAmxcAAJwXAAAdAwAAngoAAJ0XAAAeAwAAnhcAAPsOAAA/AQAAnxcAAKAXAAAfAwAAoAoAAKEXAAAgAwAAohcAAAIPAABCAQAApBcAAKUXAAAiAwAAowoAAKYXAAAjAwAApxcAAAoPAABFAQAAqRcAAKoXAAAlAwAApgoAAKsXAAAmAwAArBcAABIPAABHAQAArRcAAK4XAAAnAwAAqAoAAK8XAAAoAwAAsBcAABkPAABKAQAAshcAALMXAAAqAwAAqwoAALQXAAArAwAAtRcAACEPAABNAQAAtxcAALgXAAAtAwAArgoAALkXAAAuAwAAuhcAACkPAABPAQAAuxcAALwXAAAvAwAAsAoAAL0XAAAwAwAAvhcAADAPAABSAQAAwBcAAMEXAAAyAwAAswoAAMIXAAAzAwAAwxcAADgPAABVAQAAxRcAAMYXAAA1AwAAtgoAAMcXAAA2AwAAyBcAAEAPAABXAQAAyRcAAMoXAAA3AwAAuAoAAMsXAAA4AwAAzBcAAEcPAABaAQAAzhcAAM8XAAA6AwAAuwoAANAXAAA7AwAA0RcAAE8PAABdAQAA0xcAANQXAAA9AwAAvgoAANUXAAA+AwAA1hcAAFcPAABfAQAA1xcAANgXAAA/AwAAwAoAANkXAABAAwAA2hcAAF4PAABiAQAA3BcAAN0XAABCAwAAwwoAAN4XAABDAwAA3xcAAGYPAABlAQAA4RcAAOIXAABFAwAAxgoAAOMXAABGAwAA5BcAAG4PAABnAQAA5RcAAOYXAABHAwAAyAoAAOcXAABIAwAA6BcAAHUPAABqAQAA6hcAAOsXAABKAwAAywoAAOwXAABLAwAA7RcAAH0PAACjAAAA7xcAAPAXAABNAwAAzgoAAPEXAABOAwAA8hcAAIUPAABtAQAA8xcAAPQXAABPAwAA0AoAAPUXAABQAwAA9hcAAIwPAABvAQAA+BcAAPkXAABSAwAA0woAAPoXAABTAwAA+xcAAJQPAACmAAAA/RcAAP4XAABVAwAA1goAAP8XAABWAwAAABgAAJwPAAByAQAAARgAAAIYAABXAwAA2AoAAAMYAABYAwAABBgAAKMPAABzAQAABRgAAAYYAABZAwAA2goAAAcYAABaAwAACBgAAKoPAACoAAAAChgAAAsYAABcAwAA3QoAAAwYAABdAwAADRgAALIPAAB2AQAADhgAAA8YAABeAwAA3woAABAYAABfAwAAERgAALkPAAB3AQAAEhgAABMYAABgAwAA4QoAABQYAABhAwAAFRgAAMAPAACqAAAAFxgAABgYAABjAwAA5AoAABkYAABkAwAAGhgAAMgPAAB6AQAAGxgAABwYAABlAwAA5goAAB0YAABmAwAAHhgAAM8PAABuAQAA9xcAAB8YAABRAwAA5woAACAYAABnAwAAIRgAANUPAACrAAAAIxgAACQYAABpAwAA6goAACUYAABqAwAAJhgAAN0PAAB9AQAAJxgAACgYAABrAwAA7AoAACkYAABsAwAAKhgAAOQPAAB+AQAAKxgAACwYAABtAwAA7goAAC0YAABuAwAALhgAAOsPAACtAAAAMBgAADEYAABwAwAA8QoAADIYAABxAwAAMxgAAPMPAACBAQAANBgAADUYAAByAwAA8woAADYYAABzAwAANxgAAPoPAACDAQAAORgAADoYAAB1AwAA9goAADsYAAB2AwAAPBgAAAIQAACwAAAAPhgAAD8YAAB4AwAA+QoAAEAYAAB5AwAAQRgAAAoQAACGAQAAQhgAAEMYAAB6AwAA+woAAEQYAAB7AwAARRgAABEQAACHAQAARhgAAEcYAAB8AwAA/QoAAEgYAAB9AwAASRgAABgQAACyAAAASxgAAEwYAAB/AwAAAAsAAE0YAACAAwAAThgAACAQAACKAQAATxgAAFAYAACBAwAAAgsAAFEYAACCAwAAUhgAACcQAACLAQAAUxgAAFQYAACDAwAABAsAAFUYAACEAwAAVhgAAC4QAAC0AAAAWBgAAFkYAACGAwAABwsAAFoYAACHAwAAWxgAADYQAACOAQAAXBgAAF0YAACIAwAACQsAAF4YAACJAwAAXxgAAD0QAACQAQAAYRgAAGIYAACLAwAADAsAAGMYAACMAwAAZBgAAEUQAAC3AAAAZhgAAGcYAACOAwAADwsAAGgYAACPAwAAaRgAAE0QAACTAQAAahgAAGsYAACQAwAAEQsAAGwYAACRAwAAbRgAAFQQAACUAQAAbhgAAG8YAACSAwAAEwsAAHAYAACTAwAAcRgAAFsQAAC5AAAAcxgAAHQYAACVAwAAFgsAAHUYAACWAwAAdhgAAGMQAACXAQAAdxgAAHgYAACXAwAAGAsAAHkYAACYAwAAehgAAGoQAACZAQAAfBgAAH0YAACaAwAAGwsAAH4YAACbAwAAfxgAAHIQAAC8AAAAgRgAAIIYAACdAwAAHgsAAIMYAACeAwAAhBgAAHoQAACcAQAAhRgAAIYYAACfAwAAIAsAAIcYAACgAwAAiBgAAIEQAACdAQAAiRgAAIoYAAChAwAAIgsAAIsYAACiAwAAjBgAAIgQAAC+AAAAjhgAAI8YAACkAwAAJQsAAJAYAAClAwAAkRgAAJAQAACgAQAAkhgAAJMYAACmAwAAJwsAAJQYAACnAwAAlRgAAJcQAACiAQAAlxgAAJgYAACpAwAAKgsAAJkYAACqAwAAmhgAAJ8QAADBAAAAnBgAAJ0YAACsAwAALQsAAJ4YAACtAwAAnxgAAKcQAAClAQAAoBgAAKEYAACuAwAALwsAAKIYAACvAwAAoxgAAK4QAACmAQAApBgAAKUYAACwAwAAMQsAAKYYAACxAwAApxgAALUQAADDAAAAqRgAAKoYAACzAwAANAsAAKsYAAC0AwAArBgAAL0QAACpAQAArRgAAK4YAAC1AwAANgsAAK8YAAC2AwAAsBgAAMQQAACrAQAAshgAALMYAAC4AwAAOQsAALQYAAC5AwAAtRgAAMwQAADGAAAAtxgAALgYAAC7AwAAPAsAALkYAAC8AwAAuhgAANQQAACuAQAAuxgAALwYAAC9AwAAPgsAAL0YAAC+AwAAvhgAANsQAACwAQAAwBgAAMEYAADAAwAAQQsAAMIYAADBAwAAwxgAAOMQAADJAAAAxRgAAMYYAADDAwAARAsAAMcYAADEAwAAyBgAAOsQAACzAQAAyRgAAMoYAADFAwAARgsAAMsYAADGAwAAzBgAAPIQAAC1AQAAzhgAAM8YAADIAwAASQsAANAYAADJAwAA0RgAAPoQAADMAAAA0xgAANQYAADLAwAATAsAANUYAADMAwAA1hgAAAIRAAC4AQAA1xgAANgYAADNAwAATgsAANkYAADOAwAA2hgAAAkRAAC6AQAA3BgAAN0YAADQAwAAUQsAAN4YAADRAwAA3xgAABERAADPAAAA4RgAAOIYAADTAwAAVAsAAOMYAADUAwAA5BgAABkRAAC9AQAA5RgAAOYYAADVAwAAVgsAAOcYAADWAwAA6BgAACARAAC/AQAA6hgAAOsYAADYAwAAWQsAAOwYAADZAwAA7RgAACgRAADSAAAA7xgAAPAYAADbAwAAXAsAAPEYAADcAwAA8hgAADARAADCAQAA8xgAAPQYAADdAwAAXgsAAPUYAADeAwAA9hgAADcRAADEAQAA+BgAAPkYAADgAwAAYQsAAPoYAADhAwAA+xgAAD8RAADVAAAA/RgAAP4YAADjAwAAZAsAAP8YAADkAwAAABkAAEcRAADHAQAAARkAAAIZAADlAwAAZgsAAAMZAADmAwAABBkAAE4RAABrAQAABhkAAAcZAADoAwAAaQsAAAgZAADpAwAACRkAAFYRAADYAAAACxkAAAwZAADrAwAAbAsAAA0ZAADsAwAADhkAAF4RAADKAQAADxkAABAZAADtAwAAbgsAABEZAADuAwAAEhkAAGURAADLAQAAExkAABQZAADvAwAAcAsAABUZAADwAwAAFhkAAGwRAADaAAAAGBkAABkZAADyAwAAcwsAABoZAADzAwAAGxkAAHQRAADNAQAAHBkAAB0ZAAD0AwAAdQsAAB4ZAAD1AwAAHxkAAHsRAADPAQAAIRkAACIZAAD3AwAAeAsAACMZAAD4AwAAJBkAAIMRAADdAAAAJhkAACcZAAD6AwAAewsAACgZAAD7AwAAKRkAAIsRAADSAQAAKhkAACsZAAD8AwAAfQsAACwZAAD9AwAALRkAAJIRAABwAQAALxkAADAZAAD/AwAAgAsAADEZAAAABAAAMhkAAJoRAADgAAAANBkAADUZAAACBAAAgwsAADYZAAADBAAANxkAAKIRAADVAQAAOBkAADkZAAAEBAAAhQsAADoZAAAFBAAAOxkAAKkRAADWAQAAPBkAAD0ZAAAGBAAAhwsAAD4ZAAAHBAAAPxkAALARAADiAAAAQRkAAEIZAAAJBAAAigsAAEMZAAAKBAAARBkAALgRAADYAQAARRkAAEYZAAALBAAAjAsAAEcZAAAMBAAASBkAAL8RAADZAQAASRkAAEoZAAANBAAAjgsAAEsZAAAOBAAATBkAAMYRAADkAAAAThkAAE8ZAAAQBAAAkQsAAFAZAAARBAAAURkAAM4RAADcAQAAUhkAAFMZAAASBAAAkwsAAFQZAAATBAAAVRkAANURAAB0AQAAVxkAAFgZAAAVBAAAlgsAAFkZAAAWBAAAWhkAAN0RAADnAAAAXBkAAF0ZAAAYBAAAmQsAAF4ZAAAZBAAAXxkAAOURAADfAQAAYBkAAGEZAAAaBAAAmwsAAGIZAAAbBAAAYxkAAOwRAADgAQAAZBkAAGUZAAAcBAAAnQsAAGYZAAAdBAAAZxkAAPMRAADpAAAAaRkAAGoZAAAfBAAAoAsAAGsZAAAgBAAAbBkAAPsRAADiAQAAbRkAAG4ZAAAhBAAAogsAAG8ZAAAiBAAAcBkAAAISAADjAQAAcRkAAHIZAAAjBAAApAsAAHMZAAAkBAAAdBkAAAkSAADrAAAAdhkAAHcZAAAmBAAApwsAAHgZAAAnBAAAeRkAABESAADmAQAAehkAAHsZAAAoBAAAqQsAAHwZAAApBAAAfRkAABgSAAB4AQAAfxkAAIAZAAArBAAArAsAAIEZAAAsBAAAghkAACASAADuAAAAhBkAAIUZAAAuBAAArwsAAIYZAAAvBAAAhxkAACgSAADpAQAAiBkAAIkZAAAwBAAAsQsAAIoZAAAxBAAAixkAAC8SAADqAQAAjBkAAI0ZAAAyBAAAswsAAI4ZAAAzBAAAjxkAADYSAADwAAAAkRkAAJIZAAA1BAAAtgsAAJMZAAA2BAAAlBkAAD4SAADsAQAAlRkAAJYZAAA3BAAAuAsAAJcZAAA4BAAAmBkAAEUSAADOAQAAIBkAAJkZAAD2AwAAuQsAAJoZAAA5BAAAmxkAAEsSAADxAAAAnRkAAJ4ZAAA7BAAAvAsAAJ8ZAAA8BAAAoBkAAFMSAADuAQAAoRkAAKIZAAA9BAAAvgsAAKMZAAA+BAAApBkAAFoSAAB7AQAAphkAAKcZAABABAAAwQsAAKgZAABBBAAAqRkAAGISAAD0AAAAqxkAAKwZAABDBAAAxAsAAK0ZAABEBAAArhkAAGoSAADxAQAArxkAALAZAABFBAAAxgsAALEZAABGBAAAshkAAHESAADyAQAAsxkAALQZAABHBAAAyAsAALUZAABIBAAAthkAAHgSAAD2AAAAuBkAALkZAABKBAAAywsAALoZAABLBAAAuxkAAIASAAD0AQAAvBkAAL0ZAABMBAAAzQsAAL4ZAABNBAAAvxkAAIcSAAD2AQAAwBkAAMEZAABOBAAAzwsAAMIZAABPBAAAwxkAAI4SAAD4AAAAxRkAAMYZAABRBAAA0gsAAMcZAABSBAAAyBkAAJYSAAD5AQAAyRkAAMoZAABTBAAA1AsAAMsZAABUBAAAzBkAAJ0SAAB/AQAAzhkAAM8ZAABWBAAA1wsAANAZAABXBAAA0RkAAKUSAAD7AAAA0xkAANQZAABZBAAA2gsAANUZAABaBAAA1hkAAK0SAAD8AQAA1xkAANgZAABbBAAA3AsAANkZAABcBAAA2hkAALQSAAD9AQAA2xkAANwZAABdBAAA3gsAAN0ZAABeBAAA3hkAALsSAAD9AAAA4BkAAOEZAABgBAAA4QsAAOIZAABhBAAA4xkAAMMSAAD/AQAA5BkAAOUZAABiBAAA4wsAAOYZAABjBAAA5xkAAMoSAAAAAgAA6RkAAOoZAABlBAAA5gsAAOsZAABmBAAA7BkAANISAAAAAQAA7hkAAO8ZAABoBAAA6QsAAPAZAABpBAAA8RkAANoSAAADAgAA8hkAAPMZAABqBAAA6wsAAPQZAABrBAAA9RkAAOESAACEAQAA9xkAAPgZAABtBAAA7gsAAPkZAABuBAAA+hkAAOkSAAADAQAA/BkAAP0ZAABwBAAA8QsAAP4ZAABxBAAA/xkAAPESAAAGAgAAABoAAAEaAAByBAAA8wsAAAIaAABzBAAAAxoAAPgSAAAHAgAABBoAAAUaAAB0BAAA9QsAAAYaAAB1BAAABxoAAP8SAAAFAQAACRoAAAoaAAB3BAAA+AsAAAsaAAB4BAAADBoAAAcTAAAJAgAADRoAAA4aAAB5BAAA+gsAAA8aAAB6BAAAEBoAAA4TAADFAQAAERoAABIaAAB7BAAA/AsAABMaAAB8BAAAFBoAABUTAAAHAQAAFhoAABcaAAB+BAAA/wsAABgaAAB/BAAAGRoAAB0TAAALAgAAGhoAABsaAACABAAAAQwAABwaAACBBAAAHRoAACQTAACIAQAAHxoAACAaAACDBAAABAwAACEaAACEBAAAIhoAACwTAAAKAQAAJBoAACUaAACGBAAABwwAACYaAACHBAAAJxoAADQTAAAOAgAAKBoAACkaAACIBAAACQwAACoaAACJBAAAKxoAADsTAAAPAgAALBoAAC0aAACKBAAACwwAAC4aAACLBAAALxoAAEITAAAMAQAAMRoAADIaAACNBAAADgwAADMaAACOBAAANBoAAEoTAAARAgAANRoAADYaAACPBAAAEAwAADcaAACQBAAAOBoAAFETAAATAgAAORoAADoaAACRBAAAEgwAADsaAACSBAAAPBoAAFgTAAAOAQAAPhoAAD8aAACUBAAAFQwAAEAaAACVBAAAQRoAAGATAAAWAgAAQhoAAEMaAACWBAAAFwwAAEQaAACXBAAARRoAAGcTAACMAQAARxoAAEgaAACZBAAAGgwAAEkaAACaBAAAShoAAG8TAAARAQAATBoAAE0aAACcBAAAHQwAAE4aAACdBAAATxoAAHcTAAAZAgAAUBoAAFEaAACeBAAAHwwAAFIaAACfBAAAUxoAAH4TAAAaAgAAVBoAAFUaAACgBAAAIQwAAFYaAAChBAAAVxoAAIUTAAATAQAAWRoAAFoaAACjBAAAJAwAAFsaAACkBAAAXBoAAI0TAAAcAgAAXRoAAF4aAAClBAAAJgwAAF8aAACmBAAAYBoAAJQTAADQAQAAYhoAAGMaAACoBAAAKQwAAGQaAACpBAAAZRoAAJwTAAAWAQAAZxoAAGgaAACrBAAALAwAAGkaAACsBAAAahoAAKQTAAAeAgAAaxoAAGwaAACtBAAALgwAAG0aAACuBAAAbhoAAKsTAACRAQAAcBoAAHEaAACwBAAAMQwAAHIaAACxBAAAcxoAALMTAAAZAQAAdRoAAHYaAACzBAAANAwAAHcaAAC0BAAAeBoAALsTAAAhAgAAeRoAAHoaAAC1BAAANgwAAHsaAAC2BAAAfBoAAMITAAAiAgAAfRoAAH4aAAC3BAAAOAwAAH8aAAC4BAAAgBoAAMkTAAAbAQAAghoAAIMaAAC6BAAAOwwAAIQaAAC7BAAAhRoAANETAAAkAgAAhhoAAIcaAAC8BAAAPQwAAIgaAAC9BAAAiRoAANgTAAAmAgAAihoAAIsaAAC+BAAAPwwAAIwaAAC/BAAAjRoAAN8TAAAdAQAAjxoAAJAaAADBBAAAQgwAAJEaAADCBAAAkhoAAOcTAAApAgAAkxoAAJQaAADDBAAARAwAAJUaAADEBAAAlhoAAO4TAACVAQAAmBoAAJkaAADGBAAARwwAAJoaAADHBAAAmxoAAPYTAAAgAQAAnRoAAJ4aAADJBAAASgwAAJ8aAADKBAAAoBoAAP4TAAAsAgAAoRoAAKIaAADLBAAATAwAAKMaAADMBAAApBoAAAUUAAAtAgAApRoAAKYaAADNBAAATgwAAKcaAADOBAAAqBoAAAwUAAAiAQAAqhoAAKsaAADQBAAAUQwAAKwaAADRBAAArRoAABQUAAAvAgAArhoAAK8aAADSBAAAUwwAALAaAADTBAAAsRoAABsUAADaAQAAsxoAALQaAADVBAAAVgwAALUaAADWBAAAthoAACMUAAAlAQAAuBoAALkaAADYBAAAWQwAALoaAADZBAAAuxoAACsUAAAxAgAAvBoAAL0aAADaBAAAWwwAAL4aAADbBAAAvxoAADIUAACaAQAAwRoAAMIaAADdBAAAXgwAAMMaAADeBAAAxBoAADoUAAAoAQAAxhoAAMcaAADgBAAAYQwAAMgaAADhBAAAyRoAAEIUAAA0AgAAyhoAAMsaAADiBAAAYwwAAMwaAADjBAAAzRoAAEkUAAA1AgAAzhoAAM8aAADkBAAAZQwAANAaAADlBAAA0RoAAFAUAAAqAQAA0xoAANQaAADnBAAAaAwAANUaAADoBAAA1hoAAFgUAAA3AgAA1xoAANgaAADpBAAAagwAANkaAADqBAAA2hoAAF8UAAA5AgAA2xoAANwaAADrBAAAbAwAAN0aAADsBAAA3hoAAGYUAAAsAQAA4BoAAOEaAADuBAAAbwwAAOIaAADvBAAA4xoAAG4UAAA8AgAA5BoAAOUaAADwBAAAcQwAAOYaAADxBAAA5xoAAHUUAACeAQAA6RoAAOoaAADzBAAAdAwAAOsaAAD0BAAA7BoAAH0UAAAvAQAA7hoAAO8aAAD2BAAAdwwAAPAaAAD3BAAA8RoAAIUUAAA/AgAA8hoAAPMaAAD4BAAAeQwAAPQaAAD5BAAA9RoAAIwUAABAAgAA9hoAAPcaAAD6BAAAewwAAPgaAAD7BAAA+RoAAJMUAAAxAQAA+xoAAPwaAAD9BAAAfgwAAP0aAAD+BAAA/hoAAJsUAABCAgAA/xoAAAAbAAD/BAAAgAwAAAEbAAAABQAAAhsAAKIUAADkAQAABBsAAAUbAAACBQAAgwwAAAYbAAADBQAABxsAAKoUAAA0AQAACRsAAAobAAAFBQAAhgwAAAsbAAAGBQAADBsAALIUAABEAgAADRsAAA4bAAAHBQAAiAwAAA8bAAAIBQAAEBsAALkUAACjAQAAEhsAABMbAAAKBQAAiwwAABQbAAALBQAAFRsAAMEUAAA3AQAAFxsAABgbAAANBQAAjgwAABkbAAAOBQAAGhsAAMkUAABHAgAAGxsAABwbAAAPBQAAkAwAAB0bAAAQBQAAHhsAANAUAABIAgAAHxsAACAbAAARBQAAkgwAACEbAAASBQAAIhsAANcUAAA5AQAAJBsAACUbAAAUBQAAlQwAACYbAAAVBQAAJxsAAN8UAABKAgAAKBsAACkbAAAWBQAAlwwAACobAAAXBQAAKxsAAOYUAAD3AQAALBsAAC0bAAAYBQAAmQwAAC4bAAAZBQAALxsAAO0UAAA7AQAAMRsAADIbAAAbBQAAnAwAADMbAAAcBQAANBsAAPUUAABOAgAANRsAADYbAAAdBQAAngwAADcbAAAeBQAAOBsAAPwUAACnAQAAOhsAADsbAAAgBQAAoQwAADwbAAAhBQAAPRsAAAQVAAA+AQAAPxsAAEAbAAAjBQAApAwAAEEbAAAkBQAAQhsAAAwVAABRAgAAQxsAAEQbAAAlBQAApgwAAEUbAAAmBQAARhsAABMVAABSAgAARxsAAEgbAAAnBQAAqAwAAEkbAAAoBQAAShsAABoVAABAAQAATBsAAE0bAAAqBQAAqwwAAE4bAAArBQAATxsAACIVAABUAgAAUBsAAFEbAAAsBQAArQwAAFIbAAAtBQAAUxsAACkVAAABAgAAVRsAAFYbAAAvBQAAsAwAAFcbAAAwBQAAWBsAADEVAABDAQAAWhsAAFsbAAAyBQAAswwAAFwbAAAzBQAAXRsAADkVAABWAgAAXhsAAF8bAAA0BQAAtQwAAGAbAAA1BQAAYRsAAEAVAACsAQAAYxsAAGQbAAA3BQAAuAwAAGUbAAA4BQAAZhsAAEgVAABGAQAAaBsAAGkbAAA6BQAAuwwAAGobAAA7BQAAaxsAAFAVAABZAgAAbBsAAG0bAAA8BQAAvQwAAG4bAAA9BQAAbxsAAFcVAABaAgAAcBsAAHEbAAA+BQAAvwwAAHIbAAA/BQAAcxsAAF4VAABIAQAAdRsAAHYbAABBBQAAwgwAAHcbAABCBQAAeBsAAGYVAABcAgAAeRsAAHobAABDBQAAxAwAAHsbAABEBQAAfBsAAG0VAAAUAgAAfhsAAH8bAABGBQAAxwwAAIAbAABHBQAAgRsAAHUVAABLAQAAgxsAAIQbAABJBQAAygwAAIUbAABKBQAAhhsAAH0VAABgAgAAhxsAAIgbAABLBQAAzAwAAIkbAABMBQAAihsAAIQVAACxAQAAjBsAAI0bAABOBQAAzwwAAI4bAABPBQAAjxsAAIwVAABOAQAAkRsAAJIbAABRBQAA0gwAAJMbAABSBQAAlBsAAJQVAABjAgAAlRsAAJYbAABTBQAA1AwAAJcbAABUBQAAmBsAAJsVAABkAgAAmRsAAJobAABVBQAA1gwAAJsbAABWBQAAnBsAAKIVAABQAQAAnhsAAJ8bAABYBQAA2QwAAKAbAABZBQAAoRsAAKoVAABmAgAAohsAAKMbAABaBQAA2wwAAKQbAABbBQAApRsAALEVAAAnAgAApxsAAKgbAABdBQAA3gwAAKkbAABeBQAAqhsAALkVAABTAQAArBsAAK0bAABgBQAA4QwAAK4bAABhBQAArxsAAMEVAABpAgAAsBsAALEbAABiBQAA4wwAALIbAABjBQAAsxsAAMgVAAC2AQAAtRsAALYbAABlBQAA5gwAALcbAABmBQAAuBsAANAVAABWAQAAuhsAALsbAABoBQAA6QwAALwbAABpBQAAvRsAANgVAABsAgAAvhsAAL8bAABqBQAA6wwAAMAbAABrBQAAwRsAAN8VAABtAgAAwhsAAMMbAABsBQAA7QwAAMQbAABtBQAAxRsAAOYVAABYAQAAxxsAAMgbAABvBQAA8AwAAMkbAABwBQAAyhsAAO4VAABvAgAAyxsAAMwbAABxBQAA8gwAAM0bAAByBQAAzhsAAPUVAAA6AgAA0BsAANEbAAB0BQAA9QwAANIbAAB1BQAA0xsAAP0VAABbAQAA1RsAANYbAAB3BQAA+AwAANcbAAB4BQAA2BsAAAUWAAByAgAA2RsAANobAAB5BQAA+gwAANsbAAB6BQAA3BsAAAwWAAC7AQAA3hsAAN8bAAB8BQAA/QwAAOAbAAB9BQAA4RsAABQWAABeAQAA4xsAAOQbAAB/BQAAAA0AAOUbAACABQAA5hsAABwWAAB1AgAA5xsAAOgbAACBBQAAAg0AAOkbAACCBQAA6hsAACMWAAB2AgAA6xsAAOwbAACDBQAABA0AAO0bAACEBQAA7hsAACoWAABgAQAA8BsAAPEbAACGBQAABw0AAPIbAACHBQAA8xsAADIWAAB4AgAA9BsAAPUbAACIBQAACQ0AAPYbAACJBQAA9xsAADkWAABMAgAA+RsAAPobAACLBQAADA0AAPsbAACMBQAA/BsAAEEWAABjAQAA/hsAAP8bAACOBQAADw0AAAAcAACPBQAAARwAAEkWAAB7AgAAAhwAAAMcAACQBQAAEQ0AAAQcAACRBQAABRwAAFAWAADAAQAABxwAAAgcAACTBQAAFA0AAAkcAACUBQAAChwAAFgWAABmAQAADBwAAA0cAACWBQAAFw0AAA4cAACXBQAADxwAAGAWAAB+AgAAEBwAABEcAACYBQAAGQ0AABIcAACZBQAAExwAAGcWAAB/AgAAFBwAABUcAACaBQAAGw0AABYcAACbBQAAFxwAAG4WAABoAQAAGRwAABocAACdBQAAHg0AABscAACeBQAAHBwAAHYWAACBAgAAHRwAAB4cAACfBQAAIA0AAB8cAACgBQAAIBwAAH0WAAAqAAAAIhwAACMcAACiBQAAIw0AACQcAACjBQAAJRwAAIIPAACiAAAAgxYAACQNAACDAgAAJg0AACccAACkBQAAKBwAACYcAACjAAAAKRwAAO8XAAClBQAAKA0AACocAABNAwAAKxwAAM0KAAAtAAAALRwAAC4cAACnBQAAKw0AAC8cAACoBQAAMBwAAJkPAAClAAAAiBYAACwNAACGAgAALg0AADIcAACpBQAAMxwAADEcAACmAAAANBwAAP0XAACqBQAAMA0AADUcAABVAwAANhwAANUKAAAvAAAANxwAADgcAACrBQAAMg0AADkcAACsBQAAOhwAAK8PAACnAAAAjBYAADMNAACIAgAANQ0AADwcAACtBQAAPRwAADscAACoAAAAPhwAAAoYAACuBQAANw0AAD8cAABcAwAAQBwAANwKAAAxAAAAQRwAAEIcAACvBQAAOQ0AAEMcAACwBQAARBwAAMUPAACpAAAAkBYAADoNAACKAgAAPA0AAEYcAACxBQAARxwAAEUcAACqAAAASBwAABcYAACyBQAAPg0AAEkcAABjAwAAShwAAOMKAAAsAAAALBwAAEscAACmBQAAPw0AAEwcAACzBQAATRwAANoPAACkAAAAkxYAAEANAACLAgAAQg0AAE8cAAC0BQAAUBwAAE4cAACrAAAAURwAACMYAAC1BQAARA0AAFIcAABpAwAAUxwAAOkKAAA0AAAAVBwAAFUcAAC2BQAARg0AAFYcAAC3BQAAVxwAAPAPAACsAAAAlxYAAEcNAACNAgAASQ0AAFkcAAC4BQAAWhwAAFgcAACtAAAAWxwAADAYAAC5BQAASw0AAFwcAABwAwAAXRwAAPAKAAA3AAAAXxwAAGAcAAC7BQAATg0AAGEcAAC8BQAAYhwAAAcQAACvAAAAnBYAAE8NAACQAgAAUQ0AAGQcAAC9BQAAZRwAAGMcAACwAAAAZhwAAD4YAAC+BQAAUw0AAGccAAB4AwAAaBwAAPgKAAA5AAAAaRwAAGocAAC/BQAAVQ0AAGscAADABQAAbBwAAB0QAACxAAAAoBYAAFYNAACSAgAAWA0AAG4cAADBBQAAbxwAAG0cAACyAAAAcBwAAEsYAADCBQAAWg0AAHEcAAB/AwAAchwAAP8KAAA7AAAAcxwAAHQcAADDBQAAXA0AAHUcAADEBQAAdhwAADMQAACzAAAApBYAAF0NAACUAgAAXw0AAHgcAADFBQAAeRwAAHccAAC0AAAAehwAAFgYAADGBQAAYQ0AAHscAACGAwAAfBwAAAYLAAA+AAAAfhwAAH8cAADIBQAAZA0AAIAcAADJBQAAgRwAAEoQAAC2AAAAqRYAAGUNAACXAgAAZw0AAIMcAADKBQAAhBwAAIIcAAC3AAAAhRwAAGYYAADLBQAAaQ0AAIYcAACOAwAAhxwAAA4LAABAAAAAiBwAAIkcAADMBQAAaw0AAIocAADNBQAAixwAAGAQAAC4AAAArRYAAGwNAACZAgAAbg0AAI0cAADOBQAAjhwAAIwcAAC5AAAAjxwAAHMYAADPBQAAcA0AAJAcAACVAwAAkRwAABULAABDAAAAkxwAAJQcAADRBQAAcw0AAJUcAADSBQAAlhwAAHcQAAC7AAAAshYAAHQNAACcAgAAdg0AAJgcAADTBQAAmRwAAJccAAC8AAAAmhwAAIEYAADUBQAAeA0AAJscAACdAwAAnBwAAB0LAABFAAAAnRwAAJ4cAADVBQAAeg0AAJ8cAADWBQAAoBwAAI0QAAC9AAAAthYAAHsNAACeAgAAfQ0AAKIcAADXBQAAoxwAAKEcAAC+AAAApBwAAI4YAADYBQAAfw0AAKUcAACkAwAAphwAACQLAABIAAAAqBwAAKkcAADaBQAAgg0AAKocAADbBQAAqxwAAKQQAADAAAAAuxYAAIMNAAChAgAAhQ0AAK0cAADcBQAArhwAAKwcAADBAAAArxwAAJwYAADdBQAAhw0AALAcAACsAwAAsRwAACwLAABKAAAAshwAALMcAADeBQAAiQ0AALQcAADfBQAAtRwAALoQAADCAAAAvxYAAIoNAACjAgAAjA0AALccAADgBQAAuBwAALYcAADDAAAAuRwAAKkYAADhBQAAjg0AALocAACzAwAAuxwAADMLAABNAAAAvRwAAL4cAADjBQAAkQ0AAL8cAADkBQAAwBwAANEQAADFAAAAxBYAAJINAACmAgAAlA0AAMIcAADlBQAAwxwAAMEcAADGAAAAxBwAALcYAADmBQAAlg0AAMUcAAC7AwAAxhwAADsLAABQAAAAyBwAAMkcAADoBQAAmQ0AAMocAADpBQAAyxwAAOgQAADIAAAAyRYAAJoNAACpAgAAnA0AAM0cAADqBQAAzhwAAMwcAADJAAAAzxwAAMUYAADrBQAAng0AANAcAADDAwAA0RwAAEMLAABTAAAA0xwAANQcAADtBQAAoQ0AANUcAADuBQAA1hwAAP8QAADLAAAAzhYAAKINAACsAgAApA0AANgcAADvBQAA2RwAANccAADMAAAA2hwAANMYAADwBQAApg0AANscAADLAwAA3BwAAEsLAABWAAAA3hwAAN8cAADyBQAAqQ0AAOAcAADzBQAA4RwAABYRAADOAAAA0xYAAKoNAACvAgAArA0AAOMcAAD0BQAA5BwAAOIcAADPAAAA5RwAAOEYAAD1BQAArg0AAOYcAADTAwAA5xwAAFMLAABZAAAA6RwAAOocAAD3BQAAsQ0AAOscAAD4BQAA7BwAAC0RAADRAAAA2BYAALINAACyAgAAtA0AAO4cAAD5BQAA7xwAAO0cAADSAAAA8BwAAO8YAAD6BQAAtg0AAPEcAADbAwAA8hwAAFsLAABcAAAA9BwAAPUcAAD8BQAAuQ0AAPYcAAD9BQAA9xwAAEQRAADUAAAA3RYAALoNAAC1AgAAvA0AAPkcAAD+BQAA+hwAAPgcAADVAAAA+xwAAP0YAAD/BQAAvg0AAPwcAADjAwAA/RwAAGMLAAArAAAA/xwAAAAdAAABBgAAwQ0AAAEdAAACBgAAAh0AAFsRAADXAAAA4hYAAMINAAC4AgAAxA0AAAQdAAADBgAABR0AAAMdAADYAAAABh0AAAsZAAAEBgAAxg0AAAcdAADrAwAACB0AAGsLAABfAAAACR0AAAodAAAFBgAAyA0AAAsdAAAGBgAADB0AAHERAADZAAAA5hYAAMkNAAC6AgAAyw0AAA4dAAAHBgAADx0AAA0dAADaAAAAEB0AABgZAAAIBgAAzQ0AABEdAADyAwAAEh0AAHILAABhAAAAFB0AABUdAAAKBgAA0A0AABYdAAALBgAAFx0AAIgRAADcAAAA6xYAANENAAC9AgAA0w0AABkdAAAMBgAAGh0AABgdAADdAAAAGx0AACYZAAANBgAA1Q0AABwdAAD6AwAAHR0AAHoLAAAuAAAAHx0AACAdAAAPBgAA2A0AACEdAAAQBgAAIh0AAJ8RAADfAAAA8BYAANkNAADAAgAA2w0AACQdAAARBgAAJR0AACMdAADgAAAAJh0AADQZAAASBgAA3Q0AACcdAAACBAAAKB0AAIILAABkAAAAKR0AACodAAATBgAA3w0AACsdAAAUBgAALB0AALURAADhAAAA9BYAAOANAADCAgAA4g0AAC4dAAAVBgAALx0AAC0dAADiAAAAMB0AAEEZAAAWBgAA5A0AADEdAAAJBAAAMh0AAIkLAABlAAAAMx0AADQdAAAXBgAA5g0AADUdAAAYBgAANh0AAMsRAADjAAAA+BYAAOcNAADEAgAA6Q0AADgdAAAZBgAAOR0AADcdAADkAAAAOh0AAE4ZAAAaBgAA6w0AADsdAAAQBAAAPB0AAJALAAAwAAAAPh0AAD8dAAAcBgAA7g0AAEAdAAAdBgAAQR0AAOIRAADmAAAA/RYAAO8NAADHAgAA8Q0AAEMdAAAeBgAARB0AAEIdAADnAAAARR0AAFwZAAAfBgAA8w0AAEYdAAAYBAAARx0AAJgLAABoAAAASB0AAEkdAAAgBgAA9Q0AAEodAAAhBgAASx0AAPgRAADoAAAAARcAAPYNAADJAgAA+A0AAE0dAAAiBgAATh0AAEwdAADpAAAATx0AAGkZAAAjBgAA+g0AAFAdAAAfBAAAUR0AAJ8LAABpAAAAUh0AAFMdAAAkBgAA/A0AAFQdAAAlBgAAVR0AAA4SAADqAAAABRcAAP0NAADLAgAA/w0AAFcdAAAmBgAAWB0AAFYdAADrAAAAWR0AAHYZAAAnBgAAAQ4AAFodAAAmBAAAWx0AAKYLAAAyAAAAXR0AAF4dAAApBgAABA4AAF8dAAAqBgAAYB0AACUSAADtAAAAChcAAAUOAADOAgAABw4AAGIdAAArBgAAYx0AAGEdAADuAAAAZB0AAIQZAAAsBgAACQ4AAGUdAAAuBAAAZh0AAK4LAABsAAAAZx0AAGgdAAAtBgAACw4AAGkdAAAuBgAAah0AADsSAADvAAAADhcAAAwOAADQAgAADg4AAGwdAAAvBgAAbR0AAGsdAADwAAAAbh0AAJEZAAAwBgAAEA4AAG8dAAA1BAAAcB0AALULAABgAAAAEx0AAHEdAAAJBgAAEQ4AAHIdAAAxBgAAcx0AAFASAADbAAAAERcAABIOAADRAgAAFA4AAHUdAAAyBgAAdh0AAHQdAADxAAAAdx0AAJ0ZAAAzBgAAFg4AAHgdAAA7BAAAeR0AALsLAAAzAAAAex0AAHwdAAA1BgAAGQ4AAH0dAAA2BgAAfh0AAGcSAADzAAAAFhcAABoOAADUAgAAHA4AAIAdAAA3BgAAgR0AAH8dAAD0AAAAgh0AAKsZAAA4BgAAHg4AAIMdAABDBAAAhB0AAMMLAABuAAAAhR0AAIYdAAA5BgAAIA4AAIcdAAA6BgAAiB0AAH0SAAD1AAAAGhcAACEOAADWAgAAIw4AAIodAAA7BgAAix0AAIkdAAD2AAAAjB0AALgZAAA8BgAAJQ4AAI0dAABKBAAAjh0AAMoLAABwAAAAjx0AAJAdAAA9BgAAJw4AAJEdAAA+BgAAkh0AAJMSAAD3AAAAHhcAACgOAADYAgAAKg4AAJQdAAA/BgAAlR0AAJMdAAD4AAAAlh0AAMUZAABABgAALA4AAJcdAABRBAAAmB0AANELAAA1AAAAmh0AAJsdAABCBgAALw4AAJwdAABDBgAAnR0AAKoSAAD6AAAAIxcAADAOAADbAgAAMg4AAJ8dAABEBgAAoB0AAJ4dAAD7AAAAoR0AANMZAABFBgAANA4AAKIdAABZBAAAox0AANkLAABzAAAApB0AAKUdAABGBgAANg4AAKYdAABHBgAApx0AAMASAAD8AAAAJxcAADcOAADdAgAAOQ4AAKkdAABIBgAAqh0AAKgdAAD9AAAAqx0AAOAZAABJBgAAOw4AAKwdAABgBAAArR0AAOALAAB0AAAArx0AALAdAABLBgAAPg4AALEdAABMBgAAsh0AANcSAAD/AAAALBcAAD8OAADgAgAAQQ4AALQdAABNBgAAtR0AALMdAAAAAQAAth0AAO4ZAABOBgAAQw4AALcdAABoBAAAuB0AAOgLAAA4AAAAuh0AALsdAABQBgAARg4AALwdAABRBgAAvR0AAO4SAAACAQAAMRcAAEcOAADjAgAASQ4AAL8dAABSBgAAwB0AAL4dAAADAQAAwR0AAPwZAABTBgAASw4AAMIdAABwBAAAwx0AAPALAAB3AAAAxB0AAMUdAABUBgAATQ4AAMYdAABVBgAAxx0AAAQTAAAEAQAANRcAAE4OAADlAgAAUA4AAMkdAABWBgAAyh0AAMgdAAAFAQAAyx0AAAkaAABXBgAAUg4AAMwdAAB3BAAAzR0AAPcLAABdAAAAzh0AAM8dAABYBgAAVA4AANAdAABZBgAA0R0AABoTAAAGAQAAORcAAFUOAADnAgAAVw4AANMdAABaBgAA1B0AANIdAAAHAQAA1R0AABYaAABbBgAAWQ4AANYdAAB+BAAA1x0AAP4LAAA6AAAA2R0AANodAABdBgAAXA4AANsdAABeBgAA3B0AADETAAAJAQAAPhcAAF0OAADqAgAAXw4AAN4dAABfBgAA3x0AAN0dAAAKAQAA4B0AACQaAABgBgAAYQ4AAOEdAACGBAAA4h0AAAYMAAB5AAAA4x0AAOQdAABhBgAAYw4AAOUdAABiBgAA5h0AAEcTAAALAQAAQhcAAGQOAADsAgAAZg4AAOgdAABjBgAA6R0AAOcdAAAMAQAA6h0AADEaAABkBgAAaA4AAOsdAACNBAAA7B0AAA0MAAB7AAAA7R0AAO4dAABlBgAAag4AAO8dAABmBgAA8B0AAF0TAAANAQAARhcAAGsOAADuAgAAbQ4AAPIdAABnBgAA8x0AAPEdAAAOAQAA9B0AAD4aAABoBgAAbw4AAPUdAACUBAAA9h0AABQMAAA8AAAA+B0AAPkdAABqBgAAcg4AAPodAABrBgAA+x0AAHQTAAAQAQAASxcAAHMOAADxAgAAdQ4AAP0dAABsBgAA/h0AAPwdAAARAQAA/x0AAEwaAABtBgAAdw4AAAAeAACcBAAAAR4AABwMAAB+AAAAAh4AAAMeAABuBgAAeQ4AAAQeAABvBgAABR4AAIoTAAASAQAATxcAAHoOAADzAgAAfA4AAAceAABwBgAACB4AAAYeAAATAQAACR4AAFkaAABxBgAAfg4AAAoeAACjBAAACx4AACMMAABiAAAADR4AAA4eAABzBgAAgQ4AAA8eAAB0BgAAEB4AAKETAAAVAQAAVBcAAIIOAAD2AgAAhA4AABIeAAB1BgAAEx4AABEeAAAWAQAAFB4AAGcaAAB2BgAAhg4AABUeAACrBAAAFh4AACsMAAA/AAAAGB4AABkeAAB4BgAAiQ4AABoeAAB5BgAAGx4AALgTAAAYAQAAWRcAAIoOAAD5AgAAjA4AAB0eAAB6BgAAHh4AABweAAAZAQAAHx4AAHUaAAB7BgAAjg4AACAeAACzBAAAIR4AADMMAACAAAAAIh4AACMeAAB8BgAAkA4AACQeAAB9BgAAJR4AAM4TAAAaAQAAXRcAAJEOAAD7AgAAkw4AACceAAB+BgAAKB4AACYeAAAbAQAAKR4AAIIaAAB/BgAAlQ4AACoeAAC6BAAAKx4AADoMAACCAAAALB4AAC0eAACABgAAlw4AAC4eAACBBgAALx4AAOQTAAAcAQAAYRcAAJgOAAD9AgAAmg4AADEeAACCBgAAMh4AADAeAAAdAQAAMx4AAI8aAACDBgAAnA4AADQeAADBBAAANR4AAEEMAABBAAAANx4AADgeAACFBgAAnw4AADkeAACGBgAAOh4AAPsTAAAfAQAAZhcAAKAOAAAAAwAAog4AADweAACHBgAAPR4AADseAAAgAQAAPh4AAJ0aAACIBgAApA4AAD8eAADJBAAAQB4AAEkMAACFAAAAQR4AAEIeAACJBgAApg4AAEMeAACKBgAARB4AABEUAAAhAQAAahcAAKcOAAACAwAAqQ4AAEYeAACLBgAARx4AAEUeAAAiAQAASB4AAKoaAACMBgAAqw4AAEkeAADQBAAASh4AAFAMAABmAAAATB4AAE0eAACOBgAArg4AAE4eAACPBgAATx4AACgUAAAkAQAAbxcAAK8OAAAFAwAAsQ4AAFEeAACQBgAAUh4AAFAeAAAlAQAAUx4AALgaAACRBgAAsw4AAFQeAADYBAAAVR4AAFgMAABEAAAAVx4AAFgeAACTBgAAtg4AAFkeAACUBgAAWh4AAD8UAAAnAQAAdBcAALcOAAAIAwAAuQ4AAFweAACVBgAAXR4AAFseAAAoAQAAXh4AAMYaAACWBgAAuw4AAF8eAADgBAAAYB4AAGAMAACHAAAAYR4AAGIeAACXBgAAvQ4AAGMeAACYBgAAZB4AAFUUAAApAQAAeBcAAL4OAAAKAwAAwA4AAGYeAACZBgAAZx4AAGUeAAAqAQAAaB4AANMaAACaBgAAwg4AAGkeAADnBAAAah4AAGcMAACJAAAAax4AAGweAACbBgAAxA4AAG0eAACcBgAAbh4AAGsUAAArAQAAfBcAAMUOAAAMAwAAxw4AAHAeAACdBgAAcR4AAG8eAAAsAQAAch4AAOAaAACeBgAAyQ4AAHMeAADuBAAAdB4AAG4MAABGAAAAdh4AAHceAACgBgAAzA4AAHgeAAChBgAAeR4AAIIUAAAuAQAAgRcAAM0OAAAPAwAAzw4AAHseAACiBgAAfB4AAHoeAAAvAQAAfR4AAO4aAACjBgAA0Q4AAH4eAAD2BAAAfx4AAHYMAACMAAAAgB4AAIEeAACkBgAA0w4AAIIeAAClBgAAgx4AAJgUAAAwAQAAhRcAANQOAAARAwAA1g4AAIUeAACmBgAAhh4AAIQeAAAxAQAAhx4AAPsaAACnBgAA2A4AAIgeAAD9BAAAiR4AAH0MAABqAAAAix4AAIweAACpBgAA2w4AAI0eAACqBgAAjh4AAK8UAAAzAQAAihcAANwOAAAUAwAA3g4AAJAeAACrBgAAkR4AAI8eAAA0AQAAkh4AAAkbAACsBgAA4A4AAJMeAAAFBQAAlB4AAIUMAABJAAAAlh4AAJceAACuBgAA4w4AAJgeAACvBgAAmR4AAMYUAAA2AQAAjxcAAOQOAAAXAwAA5g4AAJseAACwBgAAnB4AAJoeAAA3AQAAnR4AABcbAACxBgAA6A4AAJ4eAAANBQAAnx4AAI0MAACOAAAAoB4AAKEeAACyBgAA6g4AAKIeAACzBgAAox4AANwUAAA4AQAAkxcAAOsOAAAZAwAA7Q4AAKUeAAC0BgAAph4AAKQeAAA5AQAApx4AACQbAAC1BgAA7w4AAKgeAAAUBQAAqR4AAJQMAABxAAAAqh4AAKseAAC2BgAA8Q4AAKweAAC3BgAArR4AAPIUAAA6AQAAlxcAAPIOAAAbAwAA9A4AAK8eAAC4BgAAsB4AAK4eAAA7AQAAsR4AADEbAAC5BgAA9g4AALIeAAAbBQAAsx4AAJsMAABLAAAAtR4AALYeAAC7BgAA+Q4AALceAAC8BgAAuB4AAAkVAAA9AQAAnBcAAPoOAAAeAwAA/A4AALoeAAC9BgAAux4AALkeAAA+AQAAvB4AAD8bAAC+BgAA/g4AAL0eAAAjBQAAvh4AAKMMAACSAAAAvx4AAMAeAAC/BgAAAA8AAMEeAADABgAAwh4AAB8VAAA/AQAAoBcAAAEPAAAgAwAAAw8AAMQeAADBBgAAxR4AAMMeAABAAQAAxh4AAEwbAADCBgAABQ8AAMceAAAqBQAAyB4AAKoMAAB1AAAAyh4AAMseAADEBgAACA8AAMweAADFBgAAzR4AADYVAABCAQAApRcAAAkPAAAjAwAACw8AAM8eAADGBgAA0B4AAM4eAABDAQAA0R4AAFobAADHBgAADQ8AANIeAAAyBQAA0x4AALIMAABOAAAA1R4AANYeAADJBgAAEA8AANceAADKBgAA2B4AAE0VAABFAQAAqhcAABEPAAAmAwAAEw8AANoeAADLBgAA2x4AANkeAABGAQAA3B4AAGgbAADMBgAAFQ8AAN0eAAA6BQAA3h4AALoMAACUAAAA3x4AAOAeAADNBgAAFw8AAOEeAADOBgAA4h4AAGMVAABHAQAArhcAABgPAAAoAwAAGg8AAOQeAADPBgAA5R4AAOMeAABIAQAA5h4AAHUbAADQBgAAHA8AAOceAABBBQAA6B4AAMEMAAB8AAAA6h4AAOseAADSBgAAHw8AAOweAADTBgAA7R4AAHoVAABKAQAAsxcAACAPAAArAwAAIg8AAO8eAADUBgAA8B4AAO4eAABLAQAA8R4AAIMbAADVBgAAJA8AAPIeAABJBQAA8x4AAMkMAABRAAAA9R4AAPYeAADXBgAAJw8AAPceAADYBgAA+B4AAJEVAABNAQAAuBcAACgPAAAuAwAAKg8AAPoeAADZBgAA+x4AAPkeAABOAQAA/B4AAJEbAADaBgAALA8AAP0eAABRBQAA/h4AANEMAACYAAAA/x4AAAAfAADbBgAALg8AAAEfAADcBgAAAh8AAKcVAABPAQAAvBcAAC8PAAAwAwAAMQ8AAAQfAADdBgAABR8AAAMfAABQAQAABh8AAJ4bAADeBgAAMw8AAAcfAABYBQAACB8AANgMAACDAAAACh8AAAsfAADgBgAANg8AAAwfAADhBgAADR8AAL4VAABSAQAAwRcAADcPAAAzAwAAOQ8AAA8fAADiBgAAEB8AAA4fAABTAQAAER8AAKwbAADjBgAAOw8AABIfAABgBQAAEx8AAOAMAABUAAAAFR8AABYfAADlBgAAPg8AABcfAADmBgAAGB8AANUVAABVAQAAxhcAAD8PAAA2AwAAQQ8AABofAADnBgAAGx8AABkfAABWAQAAHB8AALobAADoBgAAQw8AAB0fAABoBQAAHh8AAOgMAACbAAAAHx8AACAfAADpBgAARQ8AACEfAADqBgAAIh8AAOsVAABXAQAAyhcAAEYPAAA4AwAASA8AACQfAADrBgAAJR8AACMfAABYAQAAJh8AAMcbAADsBgAASg8AACcfAABvBQAAKB8AAO8MAACKAAAAKh8AACsfAADuBgAATQ8AACwfAADvBgAALR8AAAIWAABaAQAAzxcAAE4PAAA7AwAAUA8AAC8fAADwBgAAMB8AAC4fAABbAQAAMR8AANUbAADxBgAAUg8AADIfAAB3BQAAMx8AAPcMAABXAAAANR8AADYfAADzBgAAVQ8AADcfAAD0BgAAOB8AABkWAABdAQAA1BcAAFYPAAA+AwAAWA8AADofAAD1BgAAOx8AADkfAABeAQAAPB8AAOMbAAD2BgAAWg8AAD0fAAB/BQAAPh8AAP8MAACeAAAAPx8AAEAfAAD3BgAAXA8AAEEfAAD4BgAAQh8AAC8WAABfAQAA2BcAAF0PAABAAwAAXw8AAEQfAAD5BgAARR8AAEMfAABgAQAARh8AAPAbAAD6BgAAYQ8AAEcfAACGBQAASB8AAAYNAACQAAAASh8AAEsfAAD8BgAAZA8AAEwfAAD9BgAATR8AAEYWAABiAQAA3RcAAGUPAABDAwAAZw8AAE8fAAD+BgAAUB8AAE4fAABjAQAAUR8AAP4bAAD/BgAAaQ8AAFIfAACOBQAAUx8AAA4NAABaAAAAVR8AAFYfAAABBwAAbA8AAFcfAAACBwAAWB8AAF0WAABlAQAA4hcAAG0PAABGAwAAbw8AAFofAAADBwAAWx8AAFkfAABmAQAAXB8AAAwcAAAEBwAAcQ8AAF0fAACWBQAAXh8AABYNAAChAAAAXx8AAGAfAAAFBwAAcw8AAGEfAAAGBwAAYh8AAHMWAABnAQAA5hcAAHQPAABIAwAAdg8AAGQfAAAHBwAAZR8AAGMfAABoAQAAZh8AABkcAAAIBwAAeA8AAGcfAACdBQAAaB8AAB0NAAAMAAAAah8AAGsfAAAKBwAAew8AAGwfAAALBwAAbR8AAFMRAABqAQAA6xcAAHwPAABLAwAAfg8AAG8fAAAMBwAAcB8AAG4fAABrAQAAcR8AAAYZAAANBwAAgA8AAHIfAADoAwAAcx8AAGgLAAAqAAAAIxwAAMwKAACjBQAAgw8AAHUfAABMAwAAdh8AAO4XAACjAAAA8BcAAIQPAABOAwAAhg8AAHgfAAAPBwAAeR8AAHcfAABsAQAAeh8AAIEPAAAQBwAAiA8AAHsfAAAOBwAAfB8AAHQfAAArAAAAfR8AAP8cAAARBwAAig8AAH4fAAABBgAAfx8AAMANAABtAQAA9BcAAIsPAABQAwAAjQ8AAIEfAAASBwAAgh8AAIAfAADXAAAAgx8AAOEWAAATBwAAjw8AAIQfAAC3AgAAhR8AADcKAAAPAAAAhx8AAIgfAAAVBwAAkg8AAIkfAAAWBwAAih8AAJcRAABvAQAA+RcAAJMPAABTAwAAlQ8AAIwfAAAXBwAAjR8AAIsfAABwAQAAjh8AAC8ZAAAYBwAAlw8AAI8fAAD/AwAAkB8AAH8LAAAtAAAALhwAANQKAACoBQAAmg8AAJIfAABUAwAAkx8AAPwXAACmAAAA/hcAAJsPAABWAwAAnQ8AAJUfAAAaBwAAlh8AAJQfAABxAQAAlx8AAJgPAAAbBwAAnw8AAJgfAAAZBwAAmR8AAJEfAAAuAAAAmh8AAB8dAAAcBwAAoQ8AAJsfAAAPBgAAnB8AANcNAAByAQAAAhgAAKIPAABYAwAApA8AAJ4fAAAdBwAAnx8AAJ0fAADfAAAAoB8AAO8WAAAeBwAApg8AAKEfAAC/AgAAoh8AAD8KAAARAAAAox8AAKQfAAAfBwAAqA8AAKUfAAAgBwAAph8AANoRAABzAQAABhgAAKkPAABaAwAAqw8AAKgfAAAhBwAAqR8AAKcfAAB0AQAAqh8AAFcZAAAiBwAArQ8AAKsfAAAVBAAArB8AAJULAAAvAAAAOBwAANsKAACsBQAAsA8AAK4fAABbAwAArx8AAAkYAACoAAAACxgAALEPAABdAwAAsw8AALEfAAAkBwAAsh8AALAfAAB1AQAAsx8AAK4PAAAlBwAAtQ8AALQfAAAjBwAAtR8AAK0fAAAwAAAAth8AAD4dAAAmBwAAtw8AALcfAAAcBgAAuB8AAO0NAAB2AQAADxgAALgPAABfAwAAug8AALofAAAnBwAAux8AALkfAADmAAAAvB8AAPwWAAAoBwAAvA8AAL0fAADGAgAAvh8AAEYKAAATAAAAvx8AAMAfAAApBwAAvg8AAMEfAAAqBwAAwh8AAB0SAAB3AQAAExgAAL8PAABhAwAAwQ8AAMQfAAArBwAAxR8AAMMfAAB4AQAAxh8AAH8ZAAAsBwAAww8AAMcfAAArBAAAyB8AAKsLAAAxAAAAQhwAAOIKAACwBQAAxg8AAMofAABiAwAAyx8AABYYAACqAAAAGBgAAMcPAABkAwAAyQ8AAM0fAAAuBwAAzh8AAMwfAAB5AQAAzx8AAMQPAAAvBwAAyw8AANAfAAAtBwAA0R8AAMkfAAAyAAAA0h8AAF0dAAAwBwAAzQ8AANMfAAApBgAA1B8AAAMOAAB6AQAAHBgAAM4PAABmAwAA0A8AANYfAAAxBwAA1x8AANUfAADtAAAA2B8AAAkXAAAyBwAA0g8AANkfAADNAgAA2h8AAE0KAAAOAAAAhh8AANsfAAAUBwAA0w8AANwfAAAzBwAA3R8AAF8SAABuAQAAHxgAANQPAABnAwAA1g8AAN8fAAA0BwAA4B8AAN4fAAB7AQAA4R8AAKYZAAA1BwAA2A8AAOIfAABABAAA4x8AAMALAAAsAAAASxwAAOgKAACzBQAA2w8AAOUfAABoAwAA5h8AACIYAACrAAAAJBgAANwPAABqAwAA3g8AAOgfAAA3BwAA6R8AAOcfAAB8AQAA6h8AANkPAAA4BwAA4A8AAOsfAAA2BwAA7B8AAOQfAAAzAAAA7R8AAHsdAAA5BwAA4g8AAO4fAAA1BgAA7x8AABgOAAB9AQAAKBgAAOMPAABsAwAA5Q8AAPEfAAA6BwAA8h8AAPAfAADzAAAA8x8AABUXAAA7BwAA5w8AAPQfAADTAgAA9R8AAFMKAAAWAAAA9h8AAPcfAAA8BwAA6Q8AAPgfAAA9BwAA+R8AAKISAAB+AQAALBgAAOoPAABuAwAA7A8AAPsfAAA+BwAA/B8AAPofAAB/AQAA/R8AAM4ZAAA/BwAA7g8AAP4fAABWBAAA/x8AANYLAAA0AAAAVRwAAO8KAAC3BQAA8Q8AAAEgAABvAwAAAiAAAC8YAACtAAAAMRgAAPIPAABxAwAA9A8AAAQgAABBBwAABSAAAAMgAACAAQAABiAAAO8PAABCBwAA9g8AAAcgAABABwAACCAAAAAgAAA1AAAACSAAAJodAABDBwAA+A8AAAogAABCBgAACyAAAC4OAACBAQAANRgAAPkPAABzAwAA+w8AAA0gAABEBwAADiAAAAwgAAD6AAAADyAAACIXAABFBwAA/Q8AABAgAADaAgAAESAAAFoKAAAYAAAAEyAAABQgAABHBwAAABAAABUgAABIBwAAFiAAAOYSAACDAQAAOhgAAAEQAAB2AwAAAxAAABggAABJBwAAGSAAABcgAACEAQAAGiAAAPcZAABKBwAABRAAABsgAABtBAAAHCAAAO0LAAA3AAAAYBwAAPcKAAC8BQAACBAAAB4gAAB3AwAAHyAAAD0YAACwAAAAPxgAAAkQAAB5AwAACxAAACEgAABMBwAAIiAAACAgAACFAQAAIyAAAAYQAABNBwAADRAAACQgAABLBwAAJSAAAB0gAAA4AAAAJiAAALodAABOBwAADxAAACcgAABQBgAAKCAAAEUOAACGAQAAQxgAABAQAAB7AwAAEhAAACogAABPBwAAKyAAACkgAAACAQAALCAAADAXAABQBwAAFBAAAC0gAADiAgAALiAAAGIKAAANAAAALyAAADAgAABRBwAAFhAAADEgAABSBwAAMiAAACkTAACHAQAARxgAABcQAAB9AwAAGRAAADQgAABTBwAANSAAADMgAACIAQAANiAAAB8aAABUBwAAGxAAADcgAACDBAAAOCAAAAMMAAA5AAAAahwAAP4KAADABQAAHhAAADogAAB+AwAAOyAAAEoYAACyAAAATBgAAB8QAACAAwAAIRAAAD0gAABWBwAAPiAAADwgAACJAQAAPyAAABwQAABXBwAAIxAAAEAgAABVBwAAQSAAADkgAAA6AAAAQiAAANkdAABYBwAAJRAAAEMgAABdBgAARCAAAFsOAACKAQAAUBgAACYQAACCAwAAKBAAAEYgAABZBwAARyAAAEUgAAAJAQAASCAAAD0XAABaBwAAKhAAAEkgAADpAgAASiAAAGkKAAAbAAAASyAAAEwgAABbBwAALBAAAE0gAABcBwAATiAAAGwTAACLAQAAVBgAAC0QAACEAwAALxAAAFAgAABdBwAAUSAAAE8gAACMAQAAUiAAAEcaAABeBwAAMRAAAFMgAACZBAAAVCAAABkMAAA7AAAAdBwAAAULAADEBQAANBAAAFYgAACFAwAAVyAAAFcYAAC0AAAAWRgAADUQAACHAwAANxAAAFkgAABgBwAAWiAAAFggAACNAQAAWyAAADIQAABhBwAAORAAAFwgAABfBwAAXSAAAFUgAAA8AAAAXiAAAPgdAABiBwAAOxAAAF8gAABqBgAAYCAAAHEOAACOAQAAXRgAADwQAACJAwAAPhAAAGIgAABjBwAAYyAAAGEgAAAQAQAAZCAAAEoXAABkBwAAQBAAAGUgAADwAgAAZiAAAHAKAAAQAAAAaCAAAGkgAABmBwAAQxAAAGogAABnBwAAayAAALATAACQAQAAYhgAAEQQAACMAwAARhAAAG0gAABoBwAAbiAAAGwgAACRAQAAbyAAAHAaAABpBwAASBAAAHAgAACwBAAAcSAAADAMAAA+AAAAfxwAAA0LAADJBQAASxAAAHMgAACNAwAAdCAAAGUYAAC3AAAAZxgAAEwQAACPAwAAThAAAHYgAABrBwAAdyAAAHUgAACSAQAAeCAAAEkQAABsBwAAUBAAAHkgAABqBwAAeiAAAHIgAAA/AAAAeyAAABgeAABtBwAAUhAAAHwgAAB4BgAAfSAAAIgOAACTAQAAaxgAAFMQAACRAwAAVRAAAH8gAABuBwAAgCAAAH4gAAAYAQAAgSAAAFgXAABvBwAAVxAAAIIgAAD4AgAAgyAAAHgKAAAeAAAAhCAAAIUgAABwBwAAWRAAAIYgAABxBwAAhyAAAPMTAACUAQAAbxgAAFoQAACTAwAAXBAAAIkgAAByBwAAiiAAAIggAACVAQAAiyAAAJgaAABzBwAAXhAAAIwgAADGBAAAjSAAAEYMAABAAAAAiRwAABQLAADNBQAAYRAAAI8gAACUAwAAkCAAAHIYAAC5AAAAdBgAAGIQAACWAwAAZBAAAJIgAAB1BwAAkyAAAJEgAACWAQAAlCAAAF8QAAB2BwAAZhAAAJUgAAB0BwAAliAAAI4gAABBAAAAlyAAADceAAB3BwAAaBAAAJggAACFBgAAmSAAAJ4OAACXAQAAeBgAAGkQAACYAwAAaxAAAJsgAAB4BwAAnCAAAJogAAAfAQAAnSAAAGUXAAB5BwAAbRAAAJ4gAAD/AgAAnyAAAH8KAAASAAAAoSAAAKIgAAB7BwAAcBAAAKMgAAB8BwAApCAAADcUAACZAQAAfRgAAHEQAACbAwAAcxAAAKYgAAB9BwAApyAAAKUgAACaAQAAqCAAAMEaAAB+BwAAdRAAAKkgAADdBAAAqiAAAF0MAABDAAAAlBwAABwLAADSBQAAeBAAAKwgAACcAwAArSAAAIAYAAC8AAAAghgAAHkQAACeAwAAexAAAK8gAACABwAAsCAAAK4gAACbAQAAsSAAAHYQAACBBwAAfRAAALIgAAB/BwAAsyAAAKsgAABEAAAAtCAAAFceAACCBwAAfxAAALUgAACTBgAAtiAAALUOAACcAQAAhhgAAIAQAACgAwAAghAAALggAACDBwAAuSAAALcgAAAnAQAAuiAAAHMXAACEBwAAhBAAALsgAAAHAwAAvCAAAIcKAAAhAAAAvSAAAL4gAACFBwAAhhAAAL8gAACGBwAAwCAAAHoUAACdAQAAihgAAIcQAACiAwAAiRAAAMIgAACHBwAAwyAAAMEgAACeAQAAxCAAAOkaAACIBwAAixAAAMUgAADzBAAAxiAAAHMMAABFAAAAnhwAACMLAADWBQAAjhAAAMggAACjAwAAySAAAI0YAAC+AAAAjxgAAI8QAAClAwAAkRAAAMsgAACKBwAAzCAAAMogAACfAQAAzSAAAIwQAACLBwAAkxAAAM4gAACJBwAAzyAAAMcgAABGAAAA0CAAAHYeAACMBwAAlRAAANEgAACgBgAA0iAAAMsOAACgAQAAkxgAAJYQAACnAwAAmBAAANQgAACNBwAA1SAAANMgAAAuAQAA1iAAAIAXAACOBwAAmhAAANcgAAAOAwAA2CAAAI4KAAAUAAAA2iAAANsgAACQBwAAnRAAANwgAACRBwAA3SAAAL4UAACiAQAAmBgAAJ4QAACqAwAAoBAAAN8gAACSBwAA4CAAAN4gAACjAQAA4SAAABIbAACTBwAAohAAAOIgAAAKBQAA4yAAAIoMAABIAAAAqRwAACsLAADbBQAApRAAAOUgAACrAwAA5iAAAJsYAADBAAAAnRgAAKYQAACtAwAAqBAAAOggAACVBwAA6SAAAOcgAACkAQAA6iAAAKMQAACWBwAAqhAAAOsgAACUBwAA7CAAAOQgAABJAAAA7SAAAJYeAACXBwAArBAAAO4gAACuBgAA7yAAAOIOAAClAQAAoRgAAK0QAACvAwAArxAAAPEgAACYBwAA8iAAAPAgAAA2AQAA8yAAAI4XAACZBwAAsRAAAPQgAAAWAwAA9SAAAJYKAAAXAAAA9iAAAPcgAACaBwAAsxAAAPggAACbBwAA+SAAAAEVAACmAQAApRgAALQQAACxAwAAthAAAPsgAACcBwAA/CAAAPogAACnAQAA/SAAADobAACdBwAAuBAAAP4gAAAgBQAA/yAAAKAMAABKAAAAsxwAADILAADfBQAAuxAAAAEhAACyAwAAAiEAAKgYAADDAAAAqhgAALwQAAC0AwAAvhAAAAQhAACfBwAABSEAAAMhAACoAQAABiEAALkQAACgBwAAwBAAAAchAACeBwAACCEAAAAhAABLAAAACSEAALUeAAChBwAAwhAAAAohAAC7BgAACyEAAPgOAACpAQAArhgAAMMQAAC2AwAAxRAAAA0hAACiBwAADiEAAAwhAAA9AQAADyEAAJsXAACjBwAAxxAAABAhAAAdAwAAESEAAJ0KAAAZAAAAEyEAABQhAAClBwAAyhAAABUhAACmBwAAFiEAAEUVAACrAQAAsxgAAMsQAAC5AwAAzRAAABghAACnBwAAGSEAABchAACsAQAAGiEAAGMbAACoBwAAzxAAABshAAA3BQAAHCEAALcMAABNAAAAvhwAADoLAADkBQAA0hAAAB4hAAC6AwAAHyEAALYYAADGAAAAuBgAANMQAAC8AwAA1RAAACEhAACqBwAAIiEAACAhAACtAQAAIyEAANAQAACrBwAA1xAAACQhAACpBwAAJSEAAB0hAABOAAAAJiEAANUeAACsBwAA2RAAACchAADJBgAAKCEAAA8PAACuAQAAvBgAANoQAAC+AwAA3BAAACohAACtBwAAKyEAACkhAABFAQAALCEAAKkXAACuBwAA3hAAAC0hAAAlAwAALiEAAKUKAAAcAAAAMCEAADEhAACwBwAA4RAAADIhAACxBwAAMyEAAIkVAACwAQAAwRgAAOIQAADBAwAA5BAAADUhAACyBwAANiEAADQhAACxAQAANyEAAIwbAACzBwAA5hAAADghAABOBQAAOSEAAM4MAABQAAAAyRwAAEILAADpBQAA6RAAADshAADCAwAAPCEAAMQYAADJAAAAxhgAAOoQAADEAwAA7BAAAD4hAAC1BwAAPyEAAD0hAACyAQAAQCEAAOcQAAC2BwAA7hAAAEEhAAC0BwAAQiEAADohAABRAAAAQyEAAPUeAAC3BwAA8BAAAEQhAADXBgAARSEAACYPAACzAQAAyhgAAPEQAADGAwAA8xAAAEchAAC4BwAASCEAAEYhAABNAQAASSEAALcXAAC5BwAA9RAAAEohAAAtAwAASyEAAK0KAAAfAAAATSEAAE4hAAC7BwAA+BAAAE8hAAC8BwAAUCEAAM0VAAC1AQAAzxgAAPkQAADJAwAA+xAAAFIhAAC9BwAAUyEAAFEhAAC2AQAAVCEAALUbAAC+BwAA/RAAAFUhAABlBQAAViEAAOUMAABTAAAA1BwAAEoLAADuBQAAABEAAFghAADKAwAAWSEAANIYAADMAAAA1BgAAAERAADMAwAAAxEAAFshAADABwAAXCEAAFohAAC3AQAAXSEAAP4QAADBBwAABREAAF4hAAC/BwAAXyEAAFchAABUAAAAYCEAABUfAADCBwAABxEAAGEhAADlBgAAYiEAAD0PAAC4AQAA2BgAAAgRAADOAwAAChEAAGQhAADDBwAAZSEAAGMhAABVAQAAZiEAAMUXAADEBwAADBEAAGchAAA1AwAAaCEAALUKAAAiAAAAaiEAAGshAADGBwAADxEAAGwhAADHBwAAbSEAABEWAAC6AQAA3RgAABARAADRAwAAEhEAAG8hAADIBwAAcCEAAG4hAAC7AQAAcSEAAN4bAADJBwAAFBEAAHIhAAB8BQAAcyEAAPwMAABWAAAA3xwAAFILAADzBQAAFxEAAHUhAADSAwAAdiEAAOAYAADPAAAA4hgAABgRAADUAwAAGhEAAHghAADLBwAAeSEAAHchAAC8AQAAeiEAABURAADMBwAAHBEAAHshAADKBwAAfCEAAHQhAABXAAAAfSEAADUfAADNBwAAHhEAAH4hAADzBgAAfyEAAFQPAAC9AQAA5hgAAB8RAADWAwAAIREAAIEhAADOBwAAgiEAAIAhAABdAQAAgyEAANMXAADPBwAAIxEAAIQhAAA9AwAAhSEAAL0KAAAkAAAAhyEAAIghAADRBwAAJhEAAIkhAADSBwAAiiEAAFUWAAC/AQAA6xgAACcRAADZAwAAKREAAIwhAADTBwAAjSEAAIshAADAAQAAjiEAAAccAADUBwAAKxEAAI8hAACTBQAAkCEAABMNAABZAAAA6hwAAFoLAAD4BQAALhEAAJIhAADaAwAAkyEAAO4YAADSAAAA8BgAAC8RAADcAwAAMREAAJUhAADWBwAAliEAAJQhAADBAQAAlyEAACwRAADXBwAAMxEAAJghAADVBwAAmSEAAJEhAABaAAAAmiEAAFUfAADYBwAANREAAJshAAABBwAAnCEAAGsPAADCAQAA9BgAADYRAADeAwAAOBEAAJ4hAADZBwAAnyEAAJ0hAABlAQAAoCEAAOEXAADaBwAAOhEAAKEhAABFAwAAoiEAAMUKAAAEAAAApCEAAKUhAADcBwAAPREAAKYhAADdBwAApyEAABITAADEAQAA+RgAAD4RAADhAwAAQBEAAKkhAADeBwAAqiEAAKghAADFAQAAqyEAABEaAADfBwAAQhEAAKwhAAB7BAAArSEAAPsLAABcAAAA9RwAAGILAAD9BQAARREAAK8hAADiAwAAsCEAAPwYAADVAAAA/hgAAEYRAADkAwAASBEAALIhAADhBwAAsyEAALEhAADGAQAAtCEAAEMRAADiBwAAShEAALUhAADgBwAAtiEAAK4hAABdAAAAtyEAAM4dAADjBwAATBEAALghAABYBgAAuSEAAFMOAADHAQAAAhkAAE0RAADmAwAATxEAALshAADkBwAAvCEAALohAAAGAQAAvSEAADgXAADlBwAAUREAAL4hAADmAgAAvyEAAGYKAAAMAAAAax8AADYKAAALBwAAVBEAAMEhAAC2AgAAwiEAAOAWAABrAQAABxkAAFURAADpAwAAVxEAAMQhAADnBwAAxSEAAMMhAADWAAAAxiEAAL8NAADoBwAAWREAAMchAAAABgAAyCEAAP4cAAArAAAAAB0AAGoLAAACBgAAXBEAAMohAADqAwAAyyEAAAoZAADYAAAADBkAAF0RAADsAwAAXxEAAM0hAADqBwAAziEAAMwhAADJAQAAzyEAAFoRAADrBwAAYREAANAhAADpBwAA0SEAAMkhAABeAAAA0iEAAGcLAADsBwAAYxEAANMhAADnAwAA1CEAAAUZAADKAQAAEBkAAGQRAADuAwAAZhEAANYhAADtBwAA1yEAANUhAADIAQAA2CEAAFIRAADuBwAAaBEAANkhAADmBwAA2iEAAMAhAAANAAAA2yEAAC8gAADvBwAAahEAANwhAABRBwAA3SEAABUQAADLAQAAFBkAAGsRAADwAwAAbREAAN8hAADwBwAA4CEAAN4hAACHAQAA4SEAAEYYAADxBwAAbxEAAOIhAAB8AwAA4yEAAPwKAABfAAAACh0AAHELAAAGBgAAchEAAOUhAADxAwAA5iEAABcZAADaAAAAGRkAAHMRAADzAwAAdREAAOghAADzBwAA6SEAAOchAADMAQAA6iEAAHARAAD0BwAAdxEAAOshAADyBwAA7CEAAOQhAAA5AAAA7SEAAGkcAAD1BwAAeREAAO4hAAC/BQAA7yEAAFQNAADNAQAAHRkAAHoRAAD1AwAAfBEAAPEhAAD2BwAA8iEAAPAhAACxAAAA8yEAAJ8WAAD3BwAAfhEAAPQhAACRAgAA9SEAABEKAAAFAAAA9yEAAPghAAD5BwAAgREAAPkhAAD6BwAA+iEAAJkTAADPAQAAIhkAAIIRAAD4AwAAhBEAAPwhAAD7BwAA/SEAAPshAADQAQAA/iEAAGIaAAD8BwAAhhEAAP8hAACoBAAAACIAACgMAABhAAAAFR0AAHkLAAALBgAAiREAAAIiAAD5AwAAAyIAACUZAADdAAAAJxkAAIoRAAD7AwAAjBEAAAUiAAD+BwAABiIAAAQiAADRAQAAByIAAIcRAAD/BwAAjhEAAAgiAAD9BwAACSIAAAEiAABiAAAACiIAAA0eAAAACAAAkBEAAAsiAABzBgAADCIAAIAOAADSAQAAKxkAAJERAAD9AwAAkxEAAA4iAAABCAAADyIAAA0iAAAVAQAAECIAAFMXAAACCAAAlREAABEiAAD1AgAAEiIAAHUKAAAPAAAAiB8AAD4KAAAWBwAAmBEAABQiAAC+AgAAFSIAAO4WAABwAQAAMBkAAJkRAAAABAAAmxEAABciAAAECAAAGCIAABYiAADeAAAAGSIAANYNAAAFCAAAnREAABoiAAAOBgAAGyIAAB4dAAAuAAAAIB0AAIELAAAQBgAAoBEAAB0iAAABBAAAHiIAADMZAADgAAAANRkAAKERAAADBAAAoxEAACAiAAAHCAAAISIAAB8iAADUAQAAIiIAAJ4RAAAICAAApREAACMiAAAGCAAAJCIAABwiAABjAAAAJSIAAH4LAAAJCAAApxEAACYiAAD+AwAAJyIAAC4ZAADVAQAAORkAAKgRAAAFBAAAqhEAACkiAAAKCAAAKiIAACgiAADTAQAAKyIAAJYRAAALCAAArBEAACwiAAADCAAALSIAABMiAAAQAAAALiIAAGggAAAMCAAArhEAAC8iAABmBwAAMCIAAEIQAADWAQAAPRkAAK8RAAAHBAAAsREAADIiAAANCAAAMyIAADEiAACQAQAANCIAAGEYAAAOCAAAsxEAADUiAACLAwAANiIAAAsLAABkAAAAKh0AAIgLAAAUBgAAthEAADgiAAAIBAAAOSIAAEAZAADiAAAAQhkAALcRAAAKBAAAuREAADsiAAAQCAAAPCIAADoiAADXAQAAPSIAALQRAAARCAAAuxEAAD4iAAAPCAAAPyIAADciAAA+AAAAQCIAAH4cAAASCAAAvREAAEEiAADIBQAAQiIAAGMNAADYAQAARhkAAL4RAAAMBAAAwBEAAEQiAAATCAAARSIAAEMiAAC2AAAARiIAAKgWAAAUCAAAwhEAAEciAACWAgAASCIAABYKAAABAAAASSIAAEoiAAAVCAAAxBEAAEsiAAAWCAAATCIAACAUAADZAQAAShkAAMURAAAOBAAAxxEAAE4iAAAXCAAATyIAAE0iAADaAQAAUCIAALMaAAAYCAAAyREAAFEiAADVBAAAUiIAAFUMAABlAAAANB0AAI8LAAAYBgAAzBEAAFQiAAAPBAAAVSIAAE0ZAADkAAAATxkAAM0RAAARBAAAzxEAAFciAAAaCAAAWCIAAFYiAADbAQAAWSIAAMoRAAAbCAAA0REAAFoiAAAZCAAAWyIAAFMiAABmAAAAXCIAAEweAAAcCAAA0xEAAF0iAACOBgAAXiIAAK0OAADcAQAAUxkAANQRAAATBAAA1hEAAGAiAAAdCAAAYSIAAF8iAAAkAQAAYiIAAG4XAAAeCAAA2BEAAGMiAAAEAwAAZCIAAIQKAAARAAAApB8AAEUKAAAgBwAA2xEAAGYiAADFAgAAZyIAAPsWAAB0AQAAWBkAANwRAAAWBAAA3hEAAGkiAAAgCAAAaiIAAGgiAADlAAAAayIAAOwNAAAhCAAA4BEAAGwiAAAbBgAAbSIAAD0dAAAwAAAAPx0AAJcLAAAdBgAA4xEAAG8iAAAXBAAAcCIAAFsZAADnAAAAXRkAAOQRAAAZBAAA5hEAAHIiAAAjCAAAcyIAAHEiAADeAQAAdCIAAOERAAAkCAAA6BEAAHUiAAAiCAAAdiIAAG4iAABnAAAAdyIAAJQLAAAlCAAA6hEAAHgiAAAUBAAAeSIAAFYZAADfAQAAYRkAAOsRAAAbBAAA7REAAHsiAAAmCAAAfCIAAHoiAADdAQAAfSIAANkRAAAnCAAA7xEAAH4iAAAfCAAAfyIAAGUiAAASAAAAgCIAAKEgAAAoCAAA8REAAIEiAAB7BwAAgiIAAG8QAADgAQAAZRkAAPIRAAAdBAAA9BEAAIQiAAApCAAAhSIAAIMiAACZAQAAhiIAAHwYAAAqCAAA9hEAAIciAACaAwAAiCIAABoLAABoAAAASR0AAJ4LAAAhBgAA+REAAIoiAAAeBAAAiyIAAGgZAADpAAAAahkAAPoRAAAgBAAA/BEAAI0iAAAsCAAAjiIAAIwiAADhAQAAjyIAAPcRAAAtCAAA/hEAAJAiAAArCAAAkSIAAIkiAABDAAAAkiIAAJMcAAAuCAAAABIAAJMiAADRBQAAlCIAAHINAADiAQAAbhkAAAESAAAiBAAAAxIAAJYiAAAvCAAAlyIAAJUiAAC7AAAAmCIAALEWAAAwCAAABRIAAJkiAACbAgAAmiIAABsKAAACAAAAmyIAAJwiAAAxCAAABxIAAJ0iAAAyCAAAniIAAKcUAADjAQAAchkAAAgSAAAkBAAAChIAAKAiAAAzCAAAoSIAAJ8iAADkAQAAoiIAAAQbAAA0CAAADBIAAKMiAAACBQAApCIAAIIMAABpAAAAUx0AAKULAAAlBgAADxIAAKYiAAAlBAAApyIAAHUZAADrAAAAdxkAABASAAAnBAAAEhIAAKkiAAA2CAAAqiIAAKgiAADlAQAAqyIAAA0SAAA3CAAAFBIAAKwiAAA1CAAArSIAAKUiAABqAAAAriIAAIseAAA4CAAAFhIAAK8iAACpBgAAsCIAANoOAADmAQAAexkAABcSAAApBAAAGRIAALIiAAA5CAAAsyIAALEiAAAzAQAAtCIAAIkXAAA6CAAAGxIAALUiAAATAwAAtiIAAJMKAAATAAAAwB8AAEwKAAAqBwAAHhIAALgiAADMAgAAuSIAAAgXAAB4AQAAgBkAAB8SAAAsBAAAIRIAALsiAAA8CAAAvCIAALoiAADsAAAAvSIAAAIOAAA9CAAAIxIAAL4iAAAoBgAAvyIAAFwdAAAyAAAAXh0AAK0LAAAqBgAAJhIAAMEiAAAtBAAAwiIAAIMZAADuAAAAhRkAACcSAAAvBAAAKRIAAMQiAAA/CAAAxSIAAMMiAADoAQAAxiIAACQSAABACAAAKxIAAMciAAA+CAAAyCIAAMAiAABrAAAAySIAAKoLAABBCAAALRIAAMoiAAAqBAAAyyIAAH4ZAADpAQAAiRkAAC4SAAAxBAAAMBIAAM0iAABCCAAAziIAAMwiAADnAQAAzyIAABwSAABDCAAAMhIAANAiAAA7CAAA0SIAALciAAAUAAAA0iIAANogAABECAAANBIAANMiAACQBwAA1CIAAJwQAADqAQAAjRkAADUSAAAzBAAANxIAANYiAABFCAAA1yIAANUiAACiAQAA2CIAAJcYAABGCAAAORIAANkiAACpAwAA2iIAACkLAABsAAAAaB0AALQLAAAuBgAAPBIAANwiAAA0BAAA3SIAAJAZAADwAAAAkhkAAD0SAAA2BAAAPxIAAN8iAABICAAA4CIAAN4iAADrAQAA4SIAADoSAABJCAAAQRIAAOIiAABHCAAA4yIAANsiAABIAAAA5CIAAKgcAABKCAAAQxIAAOUiAADaBQAA5iIAAIENAADsAQAAlhkAAEQSAAA4BAAARhIAAOgiAABLCAAA6SIAAOciAADAAAAA6iIAALoWAABMCAAASBIAAOsiAACgAgAA7CIAACAKAAADAAAA9iEAAA4KAAD4BwAASRIAAO0iAACOAgAA7iIAAJoWAADOAQAAmRkAAEoSAAA5BAAATBIAAPAiAABNCAAA8SIAAO8iAACuAAAA8iIAAEwNAABOCAAAThIAAPMiAAC6BQAA9CIAAF4cAABgAAAAcR0AALoLAAAxBgAAURIAAPYiAAA6BAAA9yIAAJwZAADxAAAAnhkAAFISAAA8BAAAVBIAAPkiAABQCAAA+iIAAPgiAADtAQAA+yIAAE8SAABRCAAAVhIAAPwiAABPCAAA/SIAAPUiAAA2AAAA/iIAAPQKAABSCAAAWBIAAP8iAAB0AwAAACMAADgYAADuAQAAohkAAFkSAAA+BAAAWxIAAAIjAABTCAAAAyMAAAEjAACCAQAABCMAAP4PAABUCAAAXRIAAAUjAABGBwAABiMAABIgAAAOAAAA2x8AAFIKAAAzBwAAYBIAAAgjAADSAgAACSMAABQXAAB7AQAApxkAAGESAABBBAAAYxIAAAsjAABWCAAADCMAAAojAADyAAAADSMAABcOAABXCAAAZRIAAA4jAAA0BgAADyMAAHodAAAzAAAAfB0AAMILAAA2BgAAaBIAABEjAABCBAAAEiMAAKoZAAD0AAAArBkAAGkSAABEBAAAaxIAABQjAABZCAAAFSMAABMjAADwAQAAFiMAAGYSAABaCAAAbRIAABcjAABYCAAAGCMAABAjAABtAAAAGSMAAL8LAABbCAAAbxIAABojAAA/BAAAGyMAAKUZAADxAQAAsBkAAHASAABGBAAAchIAAB0jAABcCAAAHiMAABwjAADvAQAAHyMAAF4SAABdCAAAdBIAACAjAABVCAAAISMAAAcjAAAVAAAAIiMAAF4KAABeCAAAdhIAACMjAADeAgAAJCMAACoXAADyAQAAtBkAAHcSAABIBAAAeRIAACYjAABfCAAAJyMAACUjAAD+AAAAKCMAADwOAABgCAAAexIAACkjAABKBgAAKiMAAK4dAABuAAAAhh0AAMkLAAA6BgAAfhIAACwjAABJBAAALSMAALcZAAD2AAAAuRkAAH8SAABLBAAAgRIAAC8jAABiCAAAMCMAAC4jAADzAQAAMSMAAHwSAABjCAAAgxIAADIjAABhCAAAMyMAACsjAABvAAAANCMAAOQLAABkCAAAhRIAADUjAABkBAAANiMAAOgZAAD0AQAAvRkAAIYSAABNBAAAiBIAADgjAABlCAAAOSMAADcjAAD1AQAAOiMAAM4SAABmCAAAihIAADsjAABnCAAAPCMAAD0jAAAIAAAAPiMAAD8jAABoCAAAjBIAAEAjAABpCAAAQSMAAOoUAAD2AQAAwRkAAI0SAABPBAAAjxIAAEMjAABqCAAARCMAAEIjAAD3AQAARSMAACwbAABrCAAAkRIAAEYjAAAYBQAARyMAAJgMAABwAAAAkB0AANALAAA+BgAAlBIAAEkjAABQBAAASiMAAMQZAAD4AAAAxhkAAJUSAABSBAAAlxIAAEwjAABtCAAATSMAAEsjAAD4AQAATiMAAJISAABuCAAAmRIAAE8jAABsCAAAUCMAAEgjAABxAAAAUSMAAKoeAABvCAAAmxIAAFIjAAC2BgAAUyMAAPAOAAD5AQAAyhkAAJwSAABUBAAAnhIAAFUjAABwCAAAViMAAFQjAAA6AQAAVyMAAJYXAABxCAAAoBIAAFgjAAAaAwAAWSMAAJoKAAAWAAAA9x8AAFkKAAA9BwAAoxIAAFsjAADZAgAAXCMAACEXAAB/AQAAzxkAAKQSAABXBAAAphIAAF4jAABzCAAAXyMAAF0jAAD5AAAAYCMAAC0OAAB0CAAAqBIAAGEjAABBBgAAYiMAAJkdAAA1AAAAmx0AANgLAABDBgAAqxIAAGQjAABYBAAAZSMAANIZAAD7AAAA1BkAAKwSAABaBAAArhIAAGcjAAB2CAAAaCMAAGYjAAD7AQAAaSMAAKkSAAB3CAAAsBIAAGojAAB1CAAAayMAAGMjAAByAAAAbCMAANULAAB4CAAAshIAAG0jAABVBAAAbiMAAM0ZAAD8AQAA2BkAALMSAABcBAAAtRIAAHAjAAB5CAAAcSMAAG8jAAD6AQAAciMAAKESAAB6CAAAtxIAAHMjAAByCAAAdCMAAFojAAAXAAAAdSMAAPYgAAB7CAAAuRIAAHYjAACaBwAAdyMAALIQAAD9AQAA3BkAALoSAABeBAAAvBIAAHkjAAB8CAAAeiMAAHgjAACmAQAAeyMAAKQYAAB9CAAAvhIAAHwjAACwAwAAfSMAADALAABzAAAApR0AAN8LAABHBgAAwRIAAH8jAABfBAAAgCMAAN8ZAAD9AAAA4RkAAMISAABhBAAAxBIAAIIjAAB/CAAAgyMAAIEjAAD+AQAAhCMAAL8SAACACAAAxhIAAIUjAAB+CAAAhiMAAH4jAABKAAAAhyMAALIcAACBCAAAyBIAAIgjAADeBQAAiSMAAIgNAAD/AQAA5RkAAMkSAABjBAAAyxIAAIsjAACCCAAAjCMAAIojAADCAAAAjSMAAL4WAACDCAAAzRIAAI4jAACiAgAAjyMAACIKAAAJAAAAkCMAAJEjAACECAAA0BIAAJIjAACFCAAAkyMAAC4VAAAAAgAA6hkAANESAABmBAAA0xIAAJUjAACGCAAAliMAAJQjAAABAgAAlyMAAFUbAACHCAAA1RIAAJgjAAAvBQAAmSMAAK8MAAB0AAAAsB0AAOcLAABMBgAA2BIAAJsjAABnBAAAnCMAAO0ZAAAAAQAA7xkAANkSAABpBAAA2xIAAJ4jAACJCAAAnyMAAJ0jAAACAgAAoCMAANYSAACKCAAA3RIAAKEjAACICAAAoiMAAJojAAB1AAAAoyMAAMoeAACLCAAA3xIAAKQjAADEBgAApSMAAAcPAAADAgAA8xkAAOASAABrBAAA4hIAAKcjAACMCAAAqCMAAKYjAABCAQAAqSMAAKQXAACNCAAA5BIAAKojAAAiAwAAqyMAAKIKAAAYAAAAFCAAAGEKAABIBwAA5xIAAK0jAADhAgAAriMAAC8XAACEAQAA+BkAAOgSAABuBAAA6hIAALAjAACPCAAAsSMAAK8jAAABAQAAsiMAAEQOAACQCAAA7BIAALMjAABPBgAAtCMAALkdAAA4AAAAux0AAO8LAABRBgAA7xIAALYjAABvBAAAtyMAAPsZAAADAQAA/RkAAPASAABxBAAA8hIAALkjAACSCAAAuiMAALgjAAAFAgAAuyMAAO0SAACTCAAA9BIAALwjAACRCAAAvSMAALUjAAB2AAAAviMAAOwLAACUCAAA9hIAAL8jAABsBAAAwCMAAPYZAAAGAgAAARoAAPcSAABzBAAA+RIAAMIjAACVCAAAwyMAAMEjAAAEAgAAxCMAAOUSAACWCAAA+xIAAMUjAACOCAAAxiMAAKwjAAAZAAAAxyMAABMhAACXCAAA/RIAAMgjAAClBwAAySMAAMkQAAAHAgAABRoAAP4SAAB1BAAAABMAAMsjAACYCAAAzCMAAMojAACrAQAAzSMAALIYAACZCAAAAhMAAM4jAAC4AwAAzyMAADgLAAB3AAAAxR0AAPYLAABVBgAABRMAANEjAAB2BAAA0iMAAAgaAAAFAQAAChoAAAYTAAB4BAAACBMAANQjAACbCAAA1SMAANMjAAAIAgAA1iMAAAMTAACcCAAAChMAANcjAACaCAAA2CMAANAjAABNAAAA2SMAAL0cAACdCAAADBMAANojAADjBQAA2yMAAJANAAAJAgAADhoAAA0TAAB6BAAADxMAAN0jAACeCAAA3iMAANwjAADFAAAA3yMAAMMWAACfCAAAERMAAOAjAAClAgAA4SMAACUKAAAEAAAApSEAABUKAADdBwAAExMAAOIjAACVAgAA4yMAAKcWAADFAQAAEhoAABQTAAB8BAAAFhMAAOUjAACgCAAA5iMAAOQjAAC1AAAA5yMAAGINAAChCAAAGBMAAOgjAADHBQAA6SMAAH0cAABdAAAAzx0AAP0LAABZBgAAGxMAAOsjAAB9BAAA7CMAABUaAAAHAQAAFxoAABwTAAB/BAAAHhMAAO4jAACjCAAA7yMAAO0jAAAKAgAA8CMAABkTAACkCAAAIBMAAPEjAACiCAAA8iMAAOojAAA9AAAA8yMAAAoLAAClCAAAIhMAAPQjAACKAwAA9SMAAGAYAAALAgAAGxoAACMTAACBBAAAJRMAAPcjAACmCAAA+CMAAPYjAACPAQAA+SMAAEEQAACnCAAAJxMAAPojAABlBwAA+yMAAGcgAAANAAAAMCAAAGgKAABSBwAAKhMAAP0jAADoAgAA/iMAADwXAACIAQAAIBoAACsTAACEBAAALRMAAAAkAACpCAAAASQAAP8jAAAIAQAAAiQAAFoOAACqCAAALxMAAAMkAABcBgAABCQAANgdAAA6AAAA2h0AAAUMAABeBgAAMhMAAAYkAACFBAAAByQAACMaAAAKAQAAJRoAADMTAACHBAAANRMAAAkkAACsCAAACiQAAAgkAAANAgAACyQAADATAACtCAAANxMAAAwkAACrCAAADSQAAAUkAAB4AAAADiQAAAIMAACuCAAAORMAAA8kAACCBAAAECQAAB4aAAAOAgAAKRoAADoTAACJBAAAPBMAABIkAACvCAAAEyQAABEkAAAMAgAAFCQAACgTAACwCAAAPhMAABUkAACoCAAAFiQAAPwjAAAaAAAAFyQAAHQKAACxCAAAQBMAABgkAAD0AgAAGSQAAFIXAAAPAgAALRoAAEETAACLBAAAQxMAABskAACyCAAAHCQAABokAAAUAQAAHSQAAH8OAACzCAAARRMAAB4kAAByBgAAHyQAAAweAAB5AAAA5B0AAAwMAABiBgAASBMAACEkAACMBAAAIiQAADAaAAAMAQAAMhoAAEkTAACOBAAASxMAACQkAAC1CAAAJSQAACMkAAAQAgAAJiQAAEYTAAC2CAAATRMAACckAAC0CAAAKCQAACAkAAB6AAAAKSQAACcMAAC3CAAATxMAACokAACnBAAAKyQAAGEaAAARAgAANhoAAFATAACQBAAAUhMAAC0kAAC4CAAALiQAACwkAAASAgAALyQAAJgTAAC5CAAAVBMAADAkAAC6CAAAMSQAADIkAAAKAAAAMyQAADQkAAC7CAAAVhMAADUkAAC8CAAANiQAAHIVAAATAgAAOhoAAFcTAACSBAAAWRMAADgkAAC9CAAAOSQAADckAAAUAgAAOiQAAH4bAAC+CAAAWxMAADskAABGBQAAPCQAAMYMAAB7AAAA7h0AABMMAABmBgAAXhMAAD4kAACTBAAAPyQAAD0aAAAOAQAAPxoAAF8TAACVBAAAYRMAAEEkAADACAAAQiQAAEAkAAAVAgAAQyQAAFwTAADBCAAAYxMAAEQkAAC/CAAARSQAAD0kAAB8AAAARiQAAOoeAADCCAAAZRMAAEckAADSBgAASCQAAB4PAAAWAgAAQxoAAGYTAACXBAAAaBMAAEokAADDCAAASyQAAEkkAABKAQAATCQAALIXAADECAAAahMAAE0kAAAqAwAATiQAAKoKAAAbAAAATCAAAG8KAABcBwAAbRMAAFAkAADvAgAAUSQAAEkXAACMAQAASBoAAG4TAACaBAAAcBMAAFMkAADGCAAAVCQAAFIkAAAPAQAAVSQAAHAOAADHCAAAchMAAFYkAABpBgAAVyQAAPcdAAA8AAAA+R0AABsMAABrBgAAdRMAAFkkAACbBAAAWiQAAEsaAAARAQAATRoAAHYTAACdBAAAeBMAAFwkAADJCAAAXSQAAFskAAAYAgAAXiQAAHMTAADKCAAAehMAAF8kAADICAAAYCQAAFgkAAB9AAAAYSQAABgMAADLCAAAfBMAAGIkAACYBAAAYyQAAEYaAAAZAgAAURoAAH0TAACfBAAAfxMAAGUkAADMCAAAZiQAAGQkAAAXAgAAZyQAAGsTAADNCAAAgRMAAGgkAADFCAAAaSQAAE8kAAAcAAAAaiQAADAhAADOCAAAgxMAAGskAACwBwAAbCQAAOAQAAAaAgAAVRoAAIQTAAChBAAAhhMAAG4kAADPCAAAbyQAAG0kAACwAQAAcCQAAMAYAADQCAAAiBMAAHEkAADAAwAAciQAAEALAAB+AAAAAx4AACIMAABvBgAAixMAAHQkAACiBAAAdSQAAFgaAAATAQAAWhoAAIwTAACkBAAAjhMAAHckAADSCAAAeCQAAHYkAAAbAgAAeSQAAIkTAADTCAAAkBMAAHokAADRCAAAeyQAAHMkAABQAAAAfCQAAMgcAADUCAAAkhMAAH0kAADoBQAAfiQAAJgNAAAcAgAAXhoAAJMTAACmBAAAlRMAAIAkAADVCAAAgSQAAH8kAADIAAAAgiQAAMgWAADWCAAAlxMAAIMkAACoAgAAhCQAACgKAAAFAAAA+CEAABoKAAD6BwAAmhMAAIUkAACaAgAAhiQAALAWAADQAQAAYxoAAJsTAACpBAAAnRMAAIgkAADXCAAAiSQAAIckAAC6AAAAiiQAAHENAADYCAAAnxMAAIskAADQBQAAjCQAAJIcAABiAAAADh4AACoMAAB0BgAAohMAAI4kAACqBAAAjyQAAGYaAAAWAQAAaBoAAKMTAACsBAAApRMAAJEkAADaCAAAkiQAAJAkAAAdAgAAkyQAAKATAADbCAAApxMAAJQkAADZCAAAlSQAAI0kAABCAAAAliQAABkLAADcCAAAqRMAAJckAACZAwAAmCQAAHsYAAAeAgAAbBoAAKoTAACuBAAArBMAAJokAADdCAAAmyQAAJkkAACYAQAAnCQAAG4QAADeCAAArhMAAJ0kAAB6BwAAniQAAKAgAAAQAAAAaSAAAHcKAABnBwAAsRMAAKAkAAD3AgAAoSQAAFcXAACRAQAAcRoAALITAACxBAAAtBMAAKMkAADgCAAApCQAAKIkAAAXAQAApSQAAIcOAADhCAAAthMAAKYkAAB3BgAApyQAABceAAA/AAAAGR4AADIMAAB5BgAAuRMAAKkkAACyBAAAqiQAAHQaAAAZAQAAdhoAALoTAAC0BAAAvBMAAKwkAADjCAAArSQAAKskAAAgAgAAriQAALcTAADkCAAAvhMAAK8kAADiCAAAsCQAAKgkAAB/AAAAsSQAAC8MAADlCAAAwBMAALIkAACvBAAAsyQAAG8aAAAhAgAAehoAAMETAAC2BAAAwxMAALUkAADmCAAAtiQAALQkAAAfAgAAtyQAAK8TAADnCAAAxRMAALgkAADfCAAAuSQAAJ8kAAAdAAAAuiQAAIMKAADoCAAAxxMAALskAAADAwAAvCQAAG0XAAAiAgAAfhoAAMgTAAC4BAAAyhMAAL4kAADpCAAAvyQAAL0kAAAjAQAAwCQAAKwOAADqCAAAzBMAAMEkAACNBgAAwiQAAEseAACAAAAAIx4AADkMAAB9BgAAzxMAAMQkAAC5BAAAxSQAAIEaAAAbAQAAgxoAANATAAC7BAAA0hMAAMckAADsCAAAyCQAAMYkAAAjAgAAySQAAM0TAADtCAAA1BMAAMokAADrCAAAyyQAAMMkAACBAAAAzCQAAFQMAADuCAAA1hMAAM0kAADUBAAAziQAALIaAAAkAgAAhxoAANcTAAC9BAAA2RMAANAkAADvCAAA0SQAAM8kAAAlAgAA0iQAAB8UAADwCAAA2xMAANMkAADxCAAA1CQAANUkAAAGAAAA1iQAANckAADyCAAA3RMAANgkAADzCAAA2SQAALYVAAAmAgAAixoAAN4TAAC/BAAA4BMAANskAAD0CAAA3CQAANokAAAnAgAA3SQAAKcbAAD1CAAA4hMAAN4kAABdBQAA3yQAAN0MAACCAAAALR4AAEAMAACBBgAA5RMAAOEkAADABAAA4iQAAI4aAAAdAQAAkBoAAOYTAADCBAAA6BMAAOQkAAD3CAAA5SQAAOMkAAAoAgAA5iQAAOMTAAD4CAAA6hMAAOckAAD2CAAA6CQAAOAkAACDAAAA6SQAAAofAAD5CAAA7BMAAOokAADgBgAA6yQAADUPAAApAgAAlBoAAO0TAADEBAAA7xMAAO0kAAD6CAAA7iQAAOwkAABSAQAA7yQAAMAXAAD7CAAA8RMAAPAkAAAyAwAA8SQAALIKAAAeAAAAhSAAAH4KAABxBwAA9BMAAPMkAAD+AgAA9CQAAGQXAACVAQAAmRoAAPUTAADHBAAA9xMAAPYkAAD9CAAA9yQAAPUkAAAeAQAA+CQAAJ0OAAD+CAAA+RMAAPkkAACEBgAA+iQAADYeAABBAAAAOB4AAEgMAACGBgAA/BMAAPwkAADIBAAA/SQAAJwaAAAgAQAAnhoAAP0TAADKBAAA/xMAAP8kAAAACQAAACUAAP4kAAArAgAAASUAAPoTAAABCQAAARQAAAIlAAD/CAAAAyUAAPskAACEAAAABCUAAEUMAAACCQAAAxQAAAUlAADFBAAABiUAAJcaAAAsAgAAohoAAAQUAADMBAAABhQAAAglAAADCQAACSUAAAclAAAqAgAACiUAAPITAAAECQAACBQAAAslAAD8CAAADCUAAPIkAAAfAAAADSUAAE0hAAAFCQAAChQAAA4lAAC7BwAADyUAAPcQAAAtAgAAphoAAAsUAADOBAAADRQAABElAAAGCQAAEiUAABAlAAC1AQAAEyUAAM4YAAAHCQAADxQAABQlAADIAwAAFSUAAEgLAACFAAAAQh4AAE8MAACKBgAAEhQAABclAADPBAAAGCUAAKkaAAAiAQAAqxoAABMUAADRBAAAFRQAABolAAAJCQAAGyUAABklAAAuAgAAHCUAABAUAAAKCQAAFxQAAB0lAAAICQAAHiUAABYlAABTAAAAHyUAANMcAAALCQAAGRQAACAlAADtBQAAISUAAKANAAAvAgAArxoAABoUAADTBAAAHBQAACMlAAAMCQAAJCUAACIlAADLAAAAJSUAAM0WAAANCQAAHhQAACYlAACrAgAAJyUAACsKAAABAAAASiIAAB8KAAAWCAAAIRQAACglAACfAgAAKSUAALkWAADaAQAAtBoAACIUAADWBAAAJBQAACslAAAOCQAALCUAAColAAC/AAAALSUAAIANAAAPCQAAJhQAAC4lAADZBQAALyUAAKccAABmAAAATR4AAFcMAACPBgAAKRQAADElAADXBAAAMiUAALcaAAAlAQAAuRoAACoUAADZBAAALBQAADQlAAARCQAANSUAADMlAAAwAgAANiUAACcUAAASCQAALhQAADclAAAQCQAAOCUAADAlAABHAAAAOSUAACgLAAATCQAAMBQAADolAACoAwAAOyUAAJYYAAAxAgAAvRoAADEUAADbBAAAMxQAAD0lAAAUCQAAPiUAADwlAAChAQAAPyUAAJsQAAAVCQAANRQAAEAlAACPBwAAQSUAANkgAAASAAAAoiAAAIYKAAB8BwAAOBQAAEMlAAAGAwAARCUAAHIXAACaAQAAwhoAADkUAADeBAAAOxQAAEYlAAAXCQAARyUAAEUlAAAmAQAASCUAALQOAAAYCQAAPRQAAEklAACSBgAASiUAAFYeAABEAAAAWB4AAF8MAACUBgAAQBQAAEwlAADfBAAATSUAAMUaAAAoAQAAxxoAAEEUAADhBAAAQxQAAE8lAAAaCQAAUCUAAE4lAAAzAgAAUSUAAD4UAAAbCQAARRQAAFIlAAAZCQAAUyUAAEslAACGAAAAVCUAAFwMAAAcCQAARxQAAFUlAADcBAAAViUAAMAaAAA0AgAAyxoAAEgUAADjBAAAShQAAFglAAAdCQAAWSUAAFclAAAyAgAAWiUAADYUAAAeCQAATBQAAFslAAAWCQAAXCUAAEIlAAAgAAAAXSUAAJIKAAAfCQAAThQAAF4lAAASAwAAXyUAAIgXAAA1AgAAzxoAAE8UAADlBAAAURQAAGElAAAgCQAAYiUAAGAlAAAyAQAAYyUAANkOAAAhCQAAUxQAAGQlAACoBgAAZSUAAIoeAACHAAAAYh4AAGYMAACYBgAAVhQAAGclAADmBAAAaCUAANIaAAAqAQAA1BoAAFcUAADoBAAAWRQAAGolAAAjCQAAayUAAGklAAA2AgAAbCUAAFQUAAAkCQAAWxQAAG0lAAAiCQAAbiUAAGYlAACIAAAAbyUAAIEMAAAlCQAAXRQAAHAlAAABBQAAcSUAAAMbAAA3AgAA2BoAAF4UAADqBAAAYBQAAHMlAAAmCQAAdCUAAHIlAAA4AgAAdSUAAKYUAAAnCQAAYhQAAHYlAAAoCQAAdyUAAHglAAAHAAAAeSUAAHolAAApCQAAZBQAAHslAAAqCQAAfCUAAPoVAAA5AgAA3BoAAGUUAADsBAAAZxQAAH4lAAArCQAAfyUAAH0lAAA6AgAAgCUAANAbAAAsCQAAaRQAAIElAAB0BQAAgiUAAPQMAACJAAAAbB4AAG0MAACcBgAAbBQAAIQlAADtBAAAhSUAAN8aAAAsAQAA4RoAAG0UAADvBAAAbxQAAIclAAAuCQAAiCUAAIYlAAA7AgAAiSUAAGoUAAAvCQAAcRQAAIolAAAtCQAAiyUAAIMlAACKAAAAjCUAACofAAAwCQAAcxQAAI0lAADuBgAAjiUAAEwPAAA8AgAA5RoAAHQUAADxBAAAdhQAAJAlAAAxCQAAkSUAAI8lAABaAQAAkiUAAM4XAAAyCQAAeBQAAJMlAAA6AwAAlCUAALoKAAAhAAAAviAAAI0KAACGBwAAexQAAJYlAAANAwAAlyUAAH8XAACeAQAA6hoAAHwUAAD0BAAAfhQAAJklAAA0CQAAmiUAAJglAAAtAQAAmyUAAMoOAAA1CQAAgBQAAJwlAACfBgAAnSUAAHUeAABGAAAAdx4AAHUMAAChBgAAgxQAAJ8lAAD1BAAAoCUAAO0aAAAvAQAA7xoAAIQUAAD3BAAAhhQAAKIlAAA3CQAAoyUAAKElAAA+AgAApCUAAIEUAAA4CQAAiBQAAKUlAAA2CQAApiUAAJ4lAACLAAAApyUAAHIMAAA5CQAAihQAAKglAADyBAAAqSUAAOgaAAA/AgAA8xoAAIsUAAD5BAAAjRQAAKslAAA6CQAArCUAAKolAAA9AgAArSUAAHkUAAA7CQAAjxQAAK4lAAAzCQAAryUAAJUlAAAiAAAAsCUAAGohAAA8CQAAkRQAALElAADGBwAAsiUAAA4RAABAAgAA9xoAAJIUAAD7BAAAlBQAALQlAAA9CQAAtSUAALMlAAC6AQAAtiUAANwYAAA+CQAAlhQAALclAADQAwAAuCUAAFALAACMAAAAgR4AAHwMAAClBgAAmRQAALolAAD8BAAAuyUAAPoaAAAxAQAA/BoAAJoUAAD+BAAAnBQAAL0lAABACQAAviUAALwlAABBAgAAvyUAAJcUAABBCQAAnhQAAMAlAAA/CQAAwSUAALklAABWAAAAwiUAAN4cAABCCQAAoBQAAMMlAADyBQAAxCUAAKgNAABCAgAAABsAAKEUAAAABQAAoxQAAMYlAABDCQAAxyUAAMUlAADOAAAAyCUAANIWAABECQAApRQAAMklAACuAgAAyiUAAC4KAAACAAAAnCIAACQKAAAyCAAAqBQAAMslAACkAgAAzCUAAMIWAADkAQAABRsAAKkUAAADBQAAqxQAAM4lAABFCQAAzyUAAM0lAADEAAAA0CUAAI8NAABGCQAArRQAANElAADiBQAA0iUAALwcAABqAAAAjB4AAIQMAACqBgAAsBQAANQlAAAEBQAA1SUAAAgbAAA0AQAAChsAALEUAAAGBQAAsxQAANclAABICQAA2CUAANYlAABDAgAA2SUAAK4UAABJCQAAtRQAANolAABHCQAA2yUAANMlAABMAAAA3CUAADcLAABKCQAAtxQAAN0lAAC3AwAA3iUAALEYAABEAgAADhsAALgUAAAIBQAAuhQAAOAlAABLCQAA4SUAAN8lAACqAQAA4iUAAMgQAABMCQAAvBQAAOMlAACkBwAA5CUAABIhAAAUAAAA2yAAAJUKAACRBwAAvxQAAOYlAAAVAwAA5yUAAI0XAACjAQAAExsAAMAUAAALBQAAwhQAAOklAABOCQAA6iUAAOglAAA1AQAA6yUAAOEOAABPCQAAxBQAAOwlAACtBgAA7SUAAJUeAABJAAAAlx4AAIwMAACvBgAAxxQAAO8lAAAMBQAA8CUAABYbAAA3AQAAGBsAAMgUAAAOBQAAyhQAAPIlAABRCQAA8yUAAPElAABGAgAA9CUAAMUUAABSCQAAzBQAAPUlAABQCQAA9iUAAO4lAACNAAAA9yUAAIkMAABTCQAAzhQAAPglAAAJBQAA+SUAABEbAABHAgAAHBsAAM8UAAAQBQAA0RQAAPslAABUCQAA/CUAAPolAABFAgAA/SUAAL0UAABVCQAA0xQAAP4lAABNCQAA/yUAAOUlAAAjAAAAACYAAKEKAABWCQAA1RQAAAEmAAAhAwAAAiYAAKMXAABIAgAAIBsAANYUAAASBQAA2BQAAAQmAABXCQAABSYAAAMmAABBAQAABiYAAAYPAABYCQAA2hQAAAcmAADDBgAACCYAAMkeAACOAAAAoR4AAJMMAACzBgAA3RQAAAomAAATBQAACyYAACMbAAA5AQAAJRsAAN4UAAAVBQAA4BQAAA0mAABaCQAADiYAAAwmAABJAgAADyYAANsUAABbCQAA4hQAABAmAABZCQAAESYAAAkmAACPAAAAEiYAAK4MAABcCQAA5BQAABMmAAAuBQAAFCYAAFQbAABKAgAAKRsAAOUUAAAXBQAA5xQAABYmAABdCQAAFyYAABUmAABLAgAAGCYAAC0VAABeCQAA6RQAABkmAABfCQAAGiYAABsmAAAIAAAAPyMAABwmAABpCAAA6xQAAB0mAABgCQAAHiYAAD4WAAD3AQAALRsAAOwUAAAZBQAA7hQAACAmAABhCQAAISYAAB8mAABMAgAAIiYAAPkbAABiCQAA8BQAACMmAACLBQAAJCYAAAsNAABxAAAAqx4AAJoMAAC3BgAA8xQAACYmAAAaBQAAJyYAADAbAAA7AQAAMhsAAPQUAAAcBQAA9hQAACkmAABkCQAAKiYAACgmAABNAgAAKyYAAPEUAABlCQAA+BQAACwmAABjCQAALSYAACUmAACQAAAALiYAAEofAABmCQAA+hQAAC8mAAD8BgAAMCYAAGMPAABOAgAANhsAAPsUAAAeBQAA/RQAADImAABnCQAAMyYAADEmAABiAQAANCYAANwXAABoCQAA/xQAADUmAABCAwAANiYAAMIKAAAXAAAA9yAAAJwKAACbBwAAAhUAADgmAAAcAwAAOSYAAJoXAACnAQAAOxsAAAMVAAAhBQAABRUAADsmAABqCQAAPCYAADomAAA8AQAAPSYAAPcOAABrCQAABxUAAD4mAAC6BgAAPyYAALQeAABLAAAAth4AAKIMAAC8BgAAChUAAEEmAAAiBQAAQiYAAD4bAAA+AQAAQBsAAAsVAAAkBQAADRUAAEQmAABtCQAARSYAAEMmAABQAgAARiYAAAgVAABuCQAADxUAAEcmAABsCQAASCYAAEAmAACRAAAASSYAAJ8MAABvCQAAERUAAEomAAAfBQAASyYAADkbAABRAgAARBsAABIVAAAmBQAAFBUAAE0mAABwCQAATiYAAEwmAABPAgAATyYAAAAVAABxCQAAFhUAAFAmAABpCQAAUSYAADcmAAAkAAAAUiYAAIchAAByCQAAGBUAAFMmAADRBwAAVCYAACURAABSAgAASBsAABkVAAAoBQAAGxUAAFYmAABzCQAAVyYAAFUmAAC/AQAAWCYAAOoYAAB0CQAAHRUAAFkmAADYAwAAWiYAAFgLAACSAAAAwB4AAKkMAADABgAAIBUAAFwmAAApBQAAXSYAAEsbAABAAQAATRsAACEVAAArBQAAIxUAAF8mAAB2CQAAYCYAAF4mAABTAgAAYSYAAB4VAAB3CQAAJRUAAGImAAB1CQAAYyYAAFsmAABZAAAAZCYAAOkcAAB4CQAAJxUAAGUmAAD3BQAAZiYAALANAABUAgAAURsAACgVAAAtBQAAKhUAAGgmAAB5CQAAaSYAAGcmAADRAAAAaiYAANcWAAB6CQAALBUAAGsmAACxAgAAbCYAADEKAAAJAAAAkSMAACoKAACFCAAALxUAAG0mAACqAgAAbiYAAMwWAAABAgAAVhsAADAVAAAwBQAAMhUAAHAmAAB7CQAAcSYAAG8mAADKAAAAciYAAJ8NAAB8CQAANBUAAHMmAADsBQAAdCYAANIcAAB1AAAAyx4AALEMAADFBgAANxUAAHYmAAAxBQAAdyYAAFkbAABDAQAAWxsAADgVAAAzBQAAOhUAAHkmAAB+CQAAeiYAAHgmAABVAgAAeyYAADUVAAB/CQAAPBUAAHwmAAB9CQAAfSYAAHUmAABSAAAAfiYAAEcLAACACQAAPhUAAH8mAADHAwAAgCYAAM0YAABWAgAAXxsAAD8VAAA1BQAAQRUAAIImAACBCQAAgyYAAIEmAAC0AQAAhCYAAPYQAACCCQAAQxUAAIUmAAC6BwAAhiYAAEwhAAAZAAAAFCEAAKQKAACmBwAARhUAAIgmAAAkAwAAiSYAAKgXAACsAQAAZBsAAEcVAAA4BQAASRUAAIsmAACECQAAjCYAAIomAABEAQAAjSYAAA4PAACFCQAASxUAAI4mAADIBgAAjyYAANQeAABOAAAA1h4AALkMAADKBgAAThUAAJEmAAA5BQAAkiYAAGcbAABGAQAAaRsAAE8VAAA7BQAAURUAAJQmAACHCQAAlSYAAJMmAABYAgAAliYAAEwVAACICQAAUxUAAJcmAACGCQAAmCYAAJAmAACTAAAAmSYAALYMAACJCQAAVRUAAJomAAA2BQAAmyYAAGIbAABZAgAAbRsAAFYVAAA9BQAAWBUAAJ0mAACKCQAAniYAAJwmAABXAgAAnyYAAEQVAACLCQAAWhUAAKAmAACDCQAAoSYAAIcmAAAlAAAAoiYAALEKAACMCQAAXBUAAKMmAAAxAwAApCYAAL8XAABaAgAAcRsAAF0VAAA/BQAAXxUAAKYmAACNCQAApyYAAKUmAABRAQAAqCYAADQPAACOCQAAYRUAAKkmAADfBgAAqiYAAAkfAACUAAAA4B4AAMAMAADOBgAAZBUAAKwmAABABQAArSYAAHQbAABIAQAAdhsAAGUVAABCBQAAZxUAAK8mAACQCQAAsCYAAK4mAABbAgAAsSYAAGIVAACRCQAAaRUAALImAACPCQAAsyYAAKsmAACVAAAAtCYAANwMAACSCQAAaxUAALUmAABcBQAAtiYAAKYbAABcAgAAehsAAGwVAABEBQAAbhUAALgmAACTCQAAuSYAALcmAABdAgAAuiYAALUVAACUCQAAcBUAALsmAACVCQAAvCYAAL0mAAAKAAAANCQAAC0KAAC8CAAAcxUAAL8mAACtAgAAwCYAANEWAAAUAgAAfxsAAHQVAABHBQAAdhUAAMImAACXCQAAwyYAAMEmAADNAAAAxCYAAKcNAACYCQAAeBUAAMUmAADxBQAAxiYAAN0cAAB8AAAA6x4AAMgMAADTBgAAexUAAMgmAABIBQAAySYAAIIbAABLAQAAhBsAAHwVAABKBQAAfhUAAMsmAACaCQAAzCYAAMomAABfAgAAzSYAAHkVAACbCQAAgBUAAM4mAACZCQAAzyYAAMcmAABVAAAA0CYAAE8LAACcCQAAghUAANEmAADPAwAA0iYAANsYAABgAgAAiBsAAIMVAABMBQAAhRUAANQmAACdCQAA1SYAANMmAAC5AQAA1iYAAA0RAACeCQAAhxUAANcmAADFBwAA2CYAAGkhAAAcAAAAMSEAAKwKAACxBwAAihUAANomAAAsAwAA2yYAALYXAACxAQAAjRsAAIsVAABPBQAAjRUAAN0mAACgCQAA3iYAANwmAABMAQAA3yYAACUPAAChCQAAjxUAAOAmAADWBgAA4SYAAPQeAABRAAAA9h4AANAMAADYBgAAkhUAAOMmAABQBQAA5CYAAJAbAABOAQAAkhsAAJMVAABSBQAAlRUAAOYmAACjCQAA5yYAAOUmAABiAgAA6CYAAJAVAACkCQAAlxUAAOkmAACiCQAA6iYAAOImAACXAAAA6yYAAM0MAAClCQAAmRUAAOwmAABNBQAA7SYAAIsbAABjAgAAlhsAAJoVAABUBQAAnBUAAO8mAACmCQAA8CYAAO4mAABhAgAA8SYAAIgVAACnCQAAnhUAAPImAACfCQAA8yYAANkmAAAnAAAA9CYAALkKAACoCQAAoBUAAPUmAAA5AwAA9iYAAM0XAABkAgAAmhsAAKEVAABWBQAAoxUAAPgmAACpCQAA+SYAAPcmAABZAQAA+iYAAEsPAACqCQAApRUAAPsmAADtBgAA/CYAACkfAACYAAAAAB8AANcMAADcBgAAqBUAAP4mAABXBQAA/yYAAJ0bAABQAQAAnxsAAKkVAABZBQAAqxUAAAEnAACsCQAAAicAAAAnAABlAgAAAycAAKYVAACtCQAArRUAAAQnAACrCQAABScAAP0mAACZAAAABicAAPMMAACuCQAArxUAAAcnAABzBQAACCcAAM8bAABmAgAAoxsAALAVAABbBQAAshUAAAonAACvCQAACycAAAknAABnAgAADCcAAPkVAACwCQAAtBUAAA0nAACxCQAADicAAA8nAAAGAAAA1yQAADAKAADzCAAAtxUAABAnAACwAgAAEScAANYWAAAnAgAAqBsAALgVAABeBQAAuhUAABMnAACyCQAAFCcAABInAADQAAAAFScAAK8NAACzCQAAvBUAABYnAAD2BQAAFycAAOgcAACDAAAACx8AAN8MAADhBgAAvxUAABknAABfBQAAGicAAKsbAABTAQAArRsAAMAVAABhBQAAwhUAABwnAAC1CQAAHScAABsnAABoAgAAHicAAL0VAAC2CQAAxBUAAB8nAAC0CQAAICcAABgnAABYAAAAIScAAFcLAAC3CQAAxhUAACInAADXAwAAIycAAOkYAABpAgAAsRsAAMcVAABjBQAAyRUAACUnAAC4CQAAJicAACQnAAC+AQAAJycAACQRAAC5CQAAyxUAACgnAADQBwAAKScAAIYhAAAfAAAATiEAALQKAAC8BwAAzhUAACsnAAA0AwAALCcAAMQXAAC2AQAAthsAAM8VAABmBQAA0RUAAC4nAAC7CQAALycAAC0nAABUAQAAMCcAADwPAAC8CQAA0xUAADEnAADkBgAAMicAABQfAABUAAAAFh8AAOcMAADmBgAA1hUAADQnAABnBQAANScAALkbAABWAQAAuxsAANcVAABpBQAA2RUAADcnAAC+CQAAOCcAADYnAABrAgAAOScAANQVAAC/CQAA2xUAADonAAC9CQAAOycAADMnAACaAAAAPCcAAOQMAADACQAA3RUAAD0nAABkBQAAPicAALQbAABsAgAAvxsAAN4VAABrBQAA4BUAAEAnAADBCQAAQScAAD8nAABqAgAAQicAAMwVAADCCQAA4hUAAEMnAAC6CQAARCcAAConAAAoAAAARScAAMEKAADDCQAA5BUAAEYnAABBAwAARycAANsXAABtAgAAwxsAAOUVAABtBQAA5xUAAEknAADECQAASicAAEgnAABhAQAASycAAGIPAADFCQAA6RUAAEwnAAD7BgAATScAAEkfAACbAAAAIB8AAO4MAADqBgAA7BUAAE8nAABuBQAAUCcAAMYbAABYAQAAyBsAAO0VAABwBQAA7xUAAFInAADHCQAAUycAAFEnAABuAgAAVCcAAOoVAADICQAA8RUAAFUnAADGCQAAVicAAE4nAACcAAAAVycAAAoNAADJCQAA8xUAAFgnAACKBQAAWScAAPgbAABvAgAAzBsAAPQVAAByBQAA9hUAAFsnAADKCQAAXCcAAFonAABwAgAAXScAAD0WAADLCQAA+BUAAF4nAADMCQAAXycAAGAnAAAHAAAAeiUAADMKAAAqCQAA+xUAAGEnAACzAgAAYicAANsWAAA6AgAA0RsAAPwVAAB1BQAA/hUAAGQnAADNCQAAZScAAGMnAADTAAAAZicAALcNAADOCQAAABYAAGcnAAD7BQAAaCcAAPMcAACKAAAAKx8AAPYMAADvBgAAAxYAAGonAAB2BQAAaycAANQbAABbAQAA1hsAAAQWAAB4BQAABhYAAG0nAADQCQAAbicAAGwnAABxAgAAbycAAAEWAADRCQAACBYAAHAnAADPCQAAcScAAGknAABbAAAAcicAAF8LAADSCQAAChYAAHMnAADfAwAAdCcAAPcYAAByAgAA2hsAAAsWAAB6BQAADRYAAHYnAADTCQAAdycAAHUnAADDAQAAeCcAADsRAADUCQAADxYAAHknAADbBwAAeicAAKMhAAAiAAAAayEAALwKAADHBwAAEhYAAHwnAAA8AwAAfScAANIXAAC7AQAA3xsAABMWAAB9BQAAFRYAAH8nAADWCQAAgCcAAH4nAABcAQAAgScAAFMPAADXCQAAFxYAAIInAADyBgAAgycAADQfAABXAAAANh8AAP4MAAD0BgAAGhYAAIUnAAB+BQAAhicAAOIbAABeAQAA5BsAABsWAACABQAAHRYAAIgnAADZCQAAiScAAIcnAAB0AgAAiicAABgWAADaCQAAHxYAAIsnAADYCQAAjCcAAIQnAACdAAAAjScAAPsMAADbCQAAIRYAAI4nAAB7BQAAjycAAN0bAAB1AgAA6BsAACIWAACCBQAAJBYAAJEnAADcCQAAkicAAJAnAABzAgAAkycAABAWAADdCQAAJhYAAJQnAADVCQAAlScAAHsnAAApAAAAlicAAMkKAADeCQAAKBYAAJcnAABJAwAAmCcAAOkXAAB2AgAA7BsAACkWAACEBQAAKxYAAJonAADfCQAAmycAAJknAABpAQAAnCcAAHkPAADgCQAALRYAAJ0nAAAJBwAAnicAAGkfAACeAAAAQB8AAAUNAAD4BgAAMBYAAKAnAACFBQAAoScAAO8bAABgAQAA8RsAADEWAACHBQAAMxYAAKMnAADiCQAApCcAAKInAAB3AgAApScAAC4WAADjCQAANRYAAKYnAADhCQAApycAAJ8nAACfAAAAqCcAACENAADkCQAANxYAAKknAAChBQAAqicAACEcAAB4AgAA9RsAADgWAACJBQAAOhYAAKwnAADlCQAArScAAKsnAAB5AgAAricAAIEWAADmCQAAPBYAAK8nAADnCQAAsCcAALEnAAAIAAAAHCYAACcKAABgCQAAPxYAALInAACnAgAAsycAAMcWAABMAgAA+hsAAEAWAACMBQAAQhYAALUnAADoCQAAticAALQnAADHAAAAtycAAJcNAADpCQAARBYAALgnAADnBQAAuScAAMccAACQAAAASx8AAA0NAAD9BgAARxYAALsnAACNBQAAvCcAAP0bAABjAQAA/xsAAEgWAACPBQAAShYAAL4nAADrCQAAvycAAL0nAAB6AgAAwCcAAEUWAADsCQAATBYAAMEnAADqCQAAwicAALonAABPAAAAwycAAD8LAADtCQAAThYAAMQnAAC/AwAAxScAAL8YAAB7AgAAAxwAAE8WAACRBQAAURYAAMcnAADuCQAAyCcAAMYnAACvAQAAyScAAN8QAADvCQAAUxYAAMonAACvBwAAyycAAC8hAAAkAAAAiCEAAMQKAADSBwAAVhYAAM0nAABEAwAAzicAAOAXAADAAQAACBwAAFcWAACUBQAAWRYAANAnAADxCQAA0ScAAM8nAABkAQAA0icAAGoPAADyCQAAWxYAANMnAAAABwAA1CcAAFQfAABaAAAAVh8AABUNAAACBwAAXhYAANYnAACVBQAA1ycAAAscAABmAQAADRwAAF8WAACXBQAAYRYAANknAAD0CQAA2icAANgnAAB9AgAA2ycAAFwWAAD1CQAAYxYAANwnAADzCQAA3ScAANUnAACgAAAA3icAABINAAD2CQAAZRYAAN8nAACSBQAA4CcAAAYcAAB+AgAAERwAAGYWAACZBQAAaBYAAOInAAD3CQAA4ycAAOEnAAB8AgAA5CcAAFQWAAD4CQAAahYAAOUnAADwCQAA5icAAMwnAAAmAAAA5ycAAKkKAAD5CQAAbBYAAOgnAAApAwAA6ScAALEXAAB/AgAAFRwAAG0WAACbBQAAbxYAAOsnAAD6CQAA7CcAAOonAABJAQAA7ScAAB0PAAD7CQAAcRYAAO4nAADRBgAA7ycAAOkeAAChAAAAYB8AABwNAAAGBwAAdBYAAPEnAACcBQAA8icAABgcAABoAQAAGhwAAHUWAACeBQAAdxYAAPQnAAD9CQAA9ScAAPMnAACAAgAA9icAAHIWAAD+CQAAeRYAAPcnAAD8CQAA+CcAAPAnAACWAAAA+ScAAMUMAAD/CQAAexYAAPonAABFBQAA+ycAAH0bAACBAgAAHhwAAHwWAACgBQAAfhYAAP0nAAAACgAA/icAAPwnAABeAgAA/ycAAHEVAAABCgAAgBYAAAAoAACWCQAAASgAAL4mAAA=&quot;}, &quot;pial_right&quot;: {&quot;_x&quot;: 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&quot;, 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WFwr1ODMLFABTCy6UcwgSLQsJdGznCrMFHwpwYS8K2JmjBkiKJwe5IiMEK7sfBT5jLwZB+3sFlpffBpVvywaCxYkGitfxAixzVP3Y3HMHI2+bAVXbsvxs6F0HIeAVBiQCkwIBUTMHYkejAphkjwHNM4MD1HQXBYpMzwfFGA8Ea7ITCM8J+wtYtdcKufTHCkZJGwqIcLsLmjjfCJBYewrpIpsJd4qfCMtWuwjS/wcKh3LbCNqa4wgGbrcIiZbTCS2TiwdMk2cFlc/LBtuAYwqe2CMJfYwrCo6IAwljWEMKKSaRBO3raQdMS1kFLeRNCMqQVQoCPLkIzAElCadw1QhtenEFYNcVBMhbGQVhb8kFqAAVCPrMQQpMwMkIWIyJC67QwQqopF0L49wNCt38MQvsNCkIaqghCRRoAQhpFNcIKqDPC7YEqwnTGAcJSjwzCvnrxwaaL5MHbx8rBGzdfwWfjosGvSEvBgX0kwP/eGsGIAeXANq5NwRqLwcDxgMHAdly0vyMIY0F8qipBFuVtQaS1hkH57iXCWhcxwp5oK8LerinC8ZcswmBtNMK6zETCcps/wkaF9MGGZQDC2OXyweJoLcLakinChIhCwr3BT8KOKFTC8zhcwmiHUML6mS3CyrI8wjNgOMJzjz3CViklwVriIMFG8EbBgEOFwSJiYMEq71TBKqCawfqsgcESoqrBbe6ewYVOvsHoEOjBDe6twfOT48HqUdrB/VT7wcq/AcIDAgjCFpkWwgKTF8KlRB/C2kcpwr4/AUJ2b+dBvb2sQXNktUEnaY1BOh5zQQAAU0HLQmpAHYYtQZv/w0DwixxAbt10QFlDiz9qgUVAwjj/P5BTmkDSWEJA2ogIwWIkscB4z/vAzpMBwZ219UC5KA4/y0rMQJDqCEHeNVZAo8/pP3wNKcCtzJw/tLC8QRxhmUGgFIBBAjrZQO5CC0FPoo1AcrODv5Jj1r9e2dXAPmOrvm69/EBK35M/1oYrv6jGusA/ByzARZQdQm5X/EE0YRFCLgcOQq1lA0KS6QJCeHPyQdoeBULKBz5Cx0BIQq6SMUJ1Q+5B1ZT6Qd1n3UH2Pb9BMEDaQbJSy0ETgdlB9DacQRIGmUF6ylVBynzFQDyYFUKTXw5CuiIcQngBREK9ITRCHnc8QtsIMULJYD5CMnF+Qu4XiEIfjoJC7kmBQkbye0L2KV5Cup1EQlQ1SUK9yzVCyqdNQvhNSELcI0RCSjoxQlZTHUK2u/7BNcoCwqBq4cGtTXfBGgS5wVt5osHf0sTB3kGOwZyiNUGGr2VAntAeQTJPM0FnzY9AI/BhPzicC8F+OfK/c3iKwALfp0CiUNVBNC2bQSaVykH0qbRBnt4AQi2vJcLmpjvCsoYmwhefFMJ69CLCguYewl7GMsIlox/CTsA2wXJVlcGuuITBdd3cweO338FiMQjCtP8bwmViH8KjlTHCfVsdwjNx68HmqBDC+2QGwpXmFsK5PrnCNsvBws7ptcIOuJ3CRpOnwta9ncI+RJ/CKS2Swp0rg8LOyo/Cm7KDwkrjdsJgkoXCyzB+wipygMIaQn/C4yiIwoWHfcJqaWPCICpqws29YMLCKFbCRItFwgt1WcLQ+1fCyCNfwjifcMIKimzCSut4wjsXgcKjPnvC3NiRwkQBicINE5DCDyKWwkIch8Jis4rCmICCwkpHksLdy5bC+oGjwtXyr8Kab7LCJji5wneWv8JQ0kTCw2BJwphWT8LAW27CKmpswkZCccIgW2/Cs+x0wgG1gMJFBoHCKq2EwmDAl8I2fI3C4wuQwvrTi8JshJjCsHuZwkUQnsIttavCdsiuwoM0tcL6J7rCdnK3wmLgj8HmepfBXlimwV7e0cEeQbzBiu7awdB/98HOrATCaHMgwgQuGcI82ybC5i8ywpDDLsIbvCvCW8IqwohALsKmljLCg1g5wnDxRcJlgj7CWy5AwiV9OsJQ6VPBnqKcwfBGpsFNT9bBCsfJwQJTxMH+ZrLBxkjSwT7r0cHy7t7B9ksAwlZkAsLysgTCkOzswaPH0sFQ5NTBmoDOwYDo5MEs6B3CXnQXwinHHsKfqB7C0AgmwhgQlkHoblFBI8NQQYt/tUBaepxAzsKxP5768r/CeQK+LqCVP0OBpUCt47RAreWhQSD6WUFAsW9Baq3zQNinEUFoKVxA4ILsQH7IYL7EUJq/I+iSwDFtOMHtYwjBxlMNwuILGcIeeRHC5+oSwkbKHcIcnBjCgMQDwjvLB8LVqJ/BNjzCwT5ovsHVtJ7BTinMwYLoscFtAc7BkKLawcAi68EQZ9PBFg9XwRjwmsFlWYXBimR5wZ2FGMFyVMXCax/Lwgp5v8LNxrnCtPO+wnxEtMJWpq/CWa+swr1bicIEcJTCKrWRwkPGg8I3GJHCCX2NwoYmlcJ7JYfCtZaAwh50csJItRTCttwpwjapC8JyJwrCukfwwUWLX8JhY0fC+qpjwjbMX8LVxFXCnY1KwsmRM8KV1UPCxtCXwk5NicKKWozCEH9swo3ucMJdZ23CwMpawq6GW8I5Mz/CXgpLwjiJRcI8/TPCLV8rwkYHE8Li2yTCf5mpwSQUlMH7pHHBKsCDvkKsREB9/WNA4iLVQKODjb9VgLTBUUaQwaZTncEeNBHBKuJDwZ77tcB2ETXAs+ymv3KmBsB5yQTBgDDHwQfkkcHAdbzB/S+zwV5l9cHcYYbAy6+1PmsXiMDLdp7Ac56owKadh8FgVHTB4Htewb5GI8HKXL/B0MDPwQLIvcEdaarBSkoWwfa1aMFNcGjBMyetwaDpycAa2BzBJUgxwfo2DUIoNgFCQ0oJQiQZA0JGy+JBUMBYQmbRUkJTzkVCfoUjQkrdJkJfhjtCics4QkSuS0IO54dBXsqeQetyu0G+p/BBR6QVQkWDDkEDjOtAAMpRQbIpg0F1zHzCi62AwuMMbsI2m1vCtoZOwqrPYMK6C3bCDRxtwvModsLwck/CvRldwm24VsK1C13CSmRkwtb/IsJPLCbC8vEvwoo1PsKdp2zBsuGTwVn/lsGKsqjBpgS5waridT8dCDnAg4n3wGXRR8EZbjzBkbSnQHiLab+GbKZAFu2FQN5+P0BaHmPChrxhwpVITsIjLjXCswYZwu2KrsLLP7PCjSG6wofOxML78sjCktwQwrA2B8LipRbCXWUfwgukJcKooJJBAHrLQVIVx0EtgfZBiRcHQqrGhUGyF7JB5OKnQSbty0GA3OVBrBYCQiDT6UEdWvhByNL8QUiNIsKvZR7CQh8cwhc1CsI4xuXBObRFwNjU1cC8isO/A58JP6qxDEAdNhVAf10EQV4EW0Fe9hfCiBAkwtyZG8KDGB7CJUchwh5QDsIzB//B7yAPwqdiIcLKGSjCrek1wlQDJcJIiyTCRWwswRBrU8ESwF/ByqCQwWD3kcFKpNzBZkLQwSat4sGyJenBY7wNwjtbD8I66xTCt5sTwm7A6EEAXOlBqca9QeSum0G7jx3AIirtP9gV6j4NTQNA45m0PV2a974WWMvAEpIbwV4ImEGqiUlBpdCGQU0raUE++VtBGIKJQRYSVUGfLyhB+ojlQLqb2kBA8uhADmnEQDuJ3ECINiNBqak/QknEJkIDejRCMp4pQhpIG0KCLB9CBnMWQjpJAUIGhfZBCjjxQVOZ4kFqqtxBykK6QecSQUL34TJCU05OQgqjU0La/1xC9jt/QuoOiUILFoJC5kmFQqsZfUK7zWlChsl1Ql2vXEJt57rBigi6wWp/kMHo2UzBQmsCwbbCvkFS1IhBAtWuQcWQmEEum4hB84J0QS7Yr0EdPNtBWy8KQoyyC8KOsBfCxs4HwsyUBMJ+wgDCk8QBwZqqdsGwFWbBui+jwVMb2sGmbAPC2k3OwctMxMFWkbPCAViwwgdFq8LTlp7COOuUwjishsIqBHzCK2l8wnAEbcIwnGrC1rNuwkWJZcIGy2jCXYhRwhiPZsIaMWDC2NJowia9b8LI6nXCfGOXwsrzkcL+VJXCmuKdwjzpqsLNf7HCYkuzwiLOscKNIFLCiAJUwqq8WcKITGTCM6ZzwnFxk8LoX5LCH5qbwqOen8LbbKPCwjOnwkAhrcJ6IqfCJ0GhwrLZr8Fv9bPBUKTFwYIT4MHt3vHBQ5w4wotQNcK7Bz3CEAg+wv5WQMISEkPCUlROwnP6TcIaNVLBdm+iwXpImcHpyMTBeLfhwQqZAMLV0AfCegANwiliC8KG+/3B3mDywbGtAcLu4hLCBrAmwtr5pUHASXdBrmB+QVgsUEEWUeJAKA0gQUOaMUHQBapBPV6yQVaydEGCdOZAn84AQTqYW0B0qxi/IjX8wSblC8LLhATC6gUDwosCA8II3o3B1lmswaItlsF9J4nBariAwWOOnsHrVUjB03g0waIB/cDy4rTCf025wrkLt8IDurjCGniwwr1DcsIqGH/ClmNwwgr1bsKWiWrCmwlcwnrwRsIaQSbCNXoIwoKVc8LYBnvCvRqBwh1McMLd+mnCy02bwk5ZjcIRyYrCAM56whbMZ8LAsVXCGoFlwr0xYsIGuVzCLlBPwb3wFcEQ0wDBGNF1wOrZ0cBCscjB36akwb71o8F9w2jBcMlOwXJjYsHJhqfBzvTLwWg//cGPLjtB1qGNQXCHaEFdsXFBYCNfQaaZsUCGcRpBhl5NQT6rR0HN7U5B/XByQW3q6cFOjNbBJXy3wb7MgMHPViPBD/hCwXGzEsFs863AgtuRP97wyEAggufBW33twRK38cEaVfvBeYMCwtAy3cFQkfTBsxEGwn4TBsKGaP3BY4BCwXi8asEro2jBaQWNwWsiu8EGD6zB/kvKwY7x0cFKCtjBOqnhwRTDgUFgVyNB+pY9QKp3yb5OorHAm/l0wDqTW8D9HnzA9gbzwLbc1UFO7L1BrbjgQY7u40FmWtNBg8vpQcXv2kEuObBB3YuZQSZRgUHICztBXn9dQsNqbkKmgVtCBUdWQu6cNULPOz5CSLIvQkXMJkK1zxRC/ScAQmh+XEJQW3FCQgxkQjs7ekKyGXZCBnZPQvACXkK1UW1CalpbQuPsTkIvxZW/SGMWvyyjpEBrxDRB9l+KQZ47sUHuFLdBk7e8QVIv8kHNrAlCwj8lQk5xWMFaDYbBdsg3wZabBMGbTaXAWY2gQNpVPD/wI1rAjankvw69bL/6gpjCTBWZwlwHjsIa9IfCbwiHwgLfg8IjOIfCjgqKwhAKeMLLwl3CEN1UwkJKdsLzyYTC+4KFwg/ujML3P5PCrYmEwqBtj8JC1ZjCcNWYworJmMIWS2LCQyRnwjuTbcL7ZX3CROSBwsV3a8JrIH/C+n2KwnbkksKQP5TC4uKOwoux7sFtwfnBAegHwllkG8J1ICfCnmQrwug0MMI8aDXCioc/wi3IUMJixF/B2EyIwZt9jcEKV7XBVtXQwRDmt8H9KM7B6OzswaWZ+MHMggfCwooNwhJJm0H3CYhBKpheQRO4I0Cq/+2/7hbCwFY7ksD22bw/rYslQRuLlkGvoUtBRlecwafwvsG5rZjBJVKKwTjbgcFjxeXAR24/wfJ3gsGl4mzBMDYxwYK7CsEZp5PCmMWXwq1DisIlj33C2jl8wphXYsLgNFzCwJJpwivhWMIepUbCDssswvabkcJZxY3CG7+ZwuxZn8LW8qHCgqOywnbFrsJ+h6XCsJOkwpC8osJNAKDChjuXwSZlisFUeq/Bxg/Fwabr0sHa3ADC1qTywYXc4MEze+PBnmblwTK6CMKLiLhB+q7gQSBW3EEe3QBCRW8YQl1I/EFAoRdCQP8tQoEASEKrdV1CHTFYQjjns0F2IORBKSQLQnIs6UHopA9CggEjQnsZMEKvBElC07tOQr0tUkIOrUJCtbkwQqcIEELhPRpCcrwbQq7eEUITuxJCj6cXQopdPsIoM0PCCu4vwqhpLcIewCLCBtYbwlriGMLnuhPC41AAwiLV1sFI0avBCs7NwcGQw8H6b7nBBMI5wVC8jcH/aa3B4uqdwWaIi8FDCm7BdfIcwUY9l8Cm9qk/tg+DQP83tEB+CuJAVqdJQVqAkEGjZzrCe5hGwmC6QMJ2fkbCsGpOwlx2LcKdDTvC7YxSwnPCVMJ601fCsIVcwpYTCMLyHRXC0D4nwjx9DcLGOyfColg1wno9RcK78k/CAmRhwiNnZMI+9mHCgoxewoKBRcKFplDCeLRXwuZmUMLaKUXC6tPFwBFrOMG9EwTB2kw6wXrJdcHKnlXB4L9FwWK4lMGKo6nBO+G7wSWhy8H82YrB8J6SwVrVgsHu/7XBqDWNwXA+ccH1rK7BMzLTwXNn38H4+e/BBsMBwsY+DcLXwQ/Cgl0TwlreGsL4MSfCWv8uwgTXDUJt4PdB/n3NQSsx1kHwF75BolydQfn8hkHNg1FBSjkGQaw7iEF2x29BcfVBQeoJ0UAmd/RAAvQYQeP35kBgSK5AzcOtQIMz2ECI+RpBdHAAQXskpT4xYyA+unxiv9JWvMCy0wnBfTy3wCj45MA2BlbBCj3zwPXD/MDjX/vAC3OlQGoMgr92XvDAmqr1wIogCcGarSrB7UCeQcrYhEHIrmFBvgssQZPVNUG7Qd5AdvZsPxYqvMCuWkHB+6BBwcKZRsFd4kXBkLcKPyoCrsAQ9CzBN78LwUbhzMB9he1BePe1QSAe1EGolsVBAELHQW7xC0IA0+tBfmDVQR2rzUGev65BsmSrQY1cV0J0hzZCs4cYQrqEG0JeYQ5C1aEBQoQCwkEmf7FBki+2QVqWtkGsha5BWbGAQY2FwUF9vYlBALQZQWpcaECAlOe/e/r9QQ2PC0Lu0BZC3zorQkJ3I0LKLCNC0L0tQl3+KkIP7CRC6MODQm0MgkJtlmpCFceHQlAIb0JzN1VChktDQqFhL0K7iR5CdoUgQq8dIkI2cCFCoB1NQmrFNkL+uB9CEG0VQswiCEIQXd9BhcQdwoqvF8LjkRHCI+UKwvWBCMLrrcrBm67lwQY79sEVttTB/pTMwYlHvcHww7q/ZhUwwIabWsBAWPJAUNSKvgbwA8H2tmHBw6WTwVwdn8FweUPB7qaFwCIWnr1GzlBBLu8pQcIG8kCws1lBPqWtQX50RsKuLkbCBLFCwhI3KMLfwTLCPb8/wlDDQsLWmUzCYKpNwi0MqsFAJczB+AzuwRCHsMGgRuHBpWQHwm7nG8IuCjHCsz1CwhL0O8JzRTzCOPM7wvBpGMLBpivC/803wh0tMMKKgCfCwN40wklBzMJ4vs/CD5bMwn49ycLt+MLCJuCywoUktcJDX7fCpWWtwli4pMKF/p3CSs2Zwhl0mcKjto/CxmqFwt4Ni8KG+IXCmQ6FwsaCkMJoSpbC0kePwlJcicIC5YDCPSV0wmbLcsI1+W3CS9pZwn22TcI+FVDCDqlcwuM9aMJWM2TClodrwpp+fsJu14PCrgOFwhXFhsLC54LCI0yBwn5pgsLB2YjCGEOBwggvesKjl3nCMgSCwog2jMKcJ5PCXvibwhYNpsImMK3CMqKtwsdwscKeVMDCNvvGwnifx8I3FTbCJE83wrcHQ8KwJVHCZrBowjiNWsLAWWzC/nVqwu0obMLDQ3fCMy2CwmMvb8LKg3/CItmDwru1jsJyPIjCQr9/wkBUgcKSxYXCmkOLwv+cl8J1JaDCxl2hwqsppMLSD6TCtnCnwlvwscJHlL3C9raCwRs/pcE1JLzBJGi3wWL8usEr193BkgL1wRfRBsKjjg3COg8DwrH8CsLTHBHCf6YywnIUJcK3YhTCbdwXwhWPFsKCNxHCUkkdwp7LLML+5THCMC89wn2JOcK/IjDC33MwwhIGMcKHjCbC3VWXwXPqmcHCobjBgAC7wYlNwsEHssLBtP+YwVrVjsEymZLBxyGRwWDSucH6o+fBcLv8wVYIC8LlzgTC3UnvwVU/0cGW6q/B8viWwcxpsMHzp9nBnuL+wTIoBsI/2gnCyvcLwjiLFMJbdh/CYmGHQT2oK0HVUHhAfNoTQXmmjkACVJG+SlqLwOsVzsBy58bAsspRQabN7EB+k6BAmjgnQfIu+0AbHo1AKhxWQJJVMz6QcU7AxUfkv2xDJ8DzbuLAOm9EQGWnmMBivbnAgpn/wEMCT8GIUHjB6ICXwWb5FsK1UBfCKCAUwk2cGMJwFyLCeBsLwhX5BMIjMw3Cv1MXwuLzx8FW7+PBrp8Ewjt50sFaOfbBaEwFwtIB5cHYmP/BZGUSwjvsB8KtXvPBdrTYwVoNusGAaLDBEzLIwa4ktcEnYpPBb56/wTisz8Iwzs3CGm7Hwis8wcL/ysDCwse8wrOCs8LdR6nC0rOewhVPmcJx1KDCGfOkwiaujsLv6pjCPd+gws5Ln8IG+5rCpTuUwr6fhcJLpWjC1idOwuBuT8Lkrz/C/hE0wnqHGsJwdf7BZrTkwUM7NsJuOjHCqmoswgBYYsK6c0HCC/smwqr0IMKX7RzCl+8gwj/YhMLuX3bCEnlwwpOugMLXcoHCmChgwm1ZSsJdHDjCS7sgwlzcI8IvLyHCU2YZwuzxO8IePinC2pIUwvZsBsIY3/jBhr3GwaxllsHGL3XBEoz7wFv6v8BVYLS/AGiEQOuQQUFu1xRBZMW8QCKjb8GCkErBMr4kwQm9gsGOtz3Bi4XbwFKtaMB4OJI/UEH6QJY+1EBuRMC/Aj3FwM3LXcEu/0TBYpgVwaD1dMF9fqjBGdUwweasIsF+iDbBPtc7wdLuPMG2GjjBtmFDwWQIRsG190bBOEJCwValLkJyaiVCZoMmQshcN0IeWTdCUAAqQju7OEKl9rpBLrnNQRBx0UH+fqxBgjmnQWtIVcI7ZFXCMBdQwmi8UcIyeFjCkupDwvm9R8IDUkbCkc4/wjD4P8LbhBPBksZNwVhgPcGxKTPB3exMwV0sb8ENZbZBHtqeQeFfrkEkdDTCvTAzwgcaJcLr48fChmLIws3ezMKhsSbCgvwlwlo+KsJuT41B6nWnQTvpmUHAX5VBMBCgQZZ4qkETTcFBE9SyQcUIEsKTcg7CuCkDwp61S0HE5DlBaAhrQf2HeEG9jQfCzsQNwjH0BcKsIwrCjk8awvmsF8JJXiHCVihmwUj4c8GdwGrBULTlwfXH7MFNQP/BwO4Lwt0JvEF65qhB3jg/wXWDJ8E9fUzB3mdRwU/sv0E9dLVBRru6QVpnDkFk4ARBQ5nrQNcgx0B4+M9A/WdzQkVfYUIjKG9CEy/OQYOC1kFzUMtBFaDGQbVua0I6H3ZCqtN2QjY7bkIC129CDuN5QuCJeUKmrBrBLtsdwW004MAUABNCmhcDQlVEDkICLgdC7kESQuKFsMFxfsLBWherweW70sAccB3BJBwgwYuwT8F3qqXCBlejwsEvocKLTlrCFvRvwvDfX8IlvmjCcIZVwkAAcsK9OH7Cy11/wiCwoMJyzKPC5XemwhajqsJmJV3C0Oxdwg4HYMJaBJfCKaaewriAmcLKxJrCVnyUwtWc18FKKt3BQmHlwaXnXMIi8VrCAC5dwsNZXMLQDlnBYG92wUpsdMF78BHCKf4QwjImEcKO7g3CA2APwuAApUH1/JlBSlGaQQDjQEG9mFhBMPUrQdGPP0EAdyBBlgO5wRYPx8G6RMHBY9ghwfiULsGGpgrB7vTWwMPd0MCM/KDCm0ulwsYPocLsRjXCSzA+woBjMsL2tC7C+qYmwu2RhMKiA4PCJYaGwjYklsLcp5DCKjyPwnWuisLVUo/CwJZewdVsPsE9x1fBuAT3wYDo28EQMPnBECv2wabuCMJV13dAtqbRQFbxbUDmxr6+pZYlQCVwFkBlN5VAu2wFQLw7p8GoMJjBwi2OwWNUJcCNUGHAfH8MP2o0VUByGtfBZQnjwah92cGJ1qvBn/jDwSUbtsFspcDB5mwBwXOCN8HntTHBD32/wTsDv8HdSMbBgODQwSqmlj9Jiaa/E7/jwAaw1MBD/sHAgby5wCmhC0I6qQZCoPAIQkWfzkEiqc5Bz2q9QQaYsUFgLa1BQgJSQvaZXEJj+FxCu2cRQrv3FkLSRhBCMVEPQoYzPEJdNUlCYgE+QsWjTkJzsEZCKFpJQuikSUIOfkNBrT5RQfrZc0GKQQpCWzX9QdlNDEIPvg9C9vYhQiL+rD71w26/ynwBQCt4SkHBESBBqsgyQSwhF0F5HJLCfOORwk7CjsLzyFLCe11YwrAEUsL6l1LCCVpMwgZVbsKypHnCOF11wqC+iMIAfYvCbzCPwkLAlMLDTVfCvgRgwiYNXcJj3HHCGBN1wlP9fMKoBIXCeZ+CwmYuE8Jg1hXCpXAawusFSsLqSUXCVc5MwmPqT8KySWHB/ctywaDcc8G+ndLB8EfTwbhd3sGNvOnBUzfnwfRDKEGqQf1AG3GRQJ2k8cCwDdDAshoxwIxINEDN0PM/5WpMwMZjz8C/ZILAmrAtwDAlssBS2rPAfuoIwctBocDA84DC9RuAwk5XeMKMoSXCfQ8wwg3eJcIgzCbCYmAawtL3psL0sarCchOrwiTCwcKJGL7C4oS8wmiltsLbBbnCpmvxwd6Z6sGemPfBh/0bwsoiEsL7FRbCTJgOwiKmGMJKKpxBi6u/QQJSukESThtCXg8hQgxgKUIbXjVCXVYsQlt7kUEsZ7FBPhmpQSLc+kHWaQNC8k0KQmISGULtGxNCyBIcQmd7DkJ7qv9BIzgHQpZ2/UFoSgRCinX2QRUUMMIGYDDCdSoqwlMX78F+SvrBE3nmwco138EgHNLBO58uwfrbVMG9HyfBfnvov5mYi8AltWfAfmjPwC3pVcDDeVvADB+4v1ShgkEND2ZBrg6EQTWrikHOUiXCBuMowopuJ8IoGi3CmDsuwpB4MsIdMjrCVS83wrhx/8Gd2O3Bu/bzwU2cNcKzJDfCdDBCwp6mTMLDB0vCiPZSwkadR8KedivCTd8zwlvGMcJ0EjfCTb4kwfu0NcE+mzrBUzl2waiwZcF1QVfBeA1lwQ1aXMGtPsDBdqa3wegUx8EopwHCLTDmwS1O/MHKOvTBllEBwsKwAsI6LwbCS14bwpxEG8LloSDCbiQjwlNW9EEeA+9B5h6QQVYkmUHmB4VBnYp1QbvkYUGQMLk/PkaYQHqkB0BwYME/4wynPwBzUT/KLoc/vb+3P8LcEEAaFxFAbIYTwZ3jAMHaFBDBSGAQwQqSNEGe999A4NAoQbs8+EC7NqlARDyNQARuuj8NOHtAHUawQeCFnkHuxJRBfq7mQGu72kCVEpNAZha8P96sBkCCWlu/vXUxQFK95kBLWmtAREgdQBrQ5L8mkI4/JwAnQlmIGEKS/iBCgpkOQnhuCEJnBQlCG40FQsd2CUKv+C9CfSc2QhrHKULlaOhBlm3mQdp04EH+KNpBxqvdQV2W20GG3eBBuLWHQZYghkEw8l5BB5wrQaFYHkJmohdCVzUgQlywSkLazEFCyC9FQhC7PUJXd0dCAPB9QvMCekLLQH1CoyhwQoDfcEJ1nGBCEiBTQkLnVEIiZ0tC42BXQqRkPEJWaz1CIq8xQi57J0I4DvDB8lDxwSsl4cFYkFvBanWOweflgsFK65fB5itvwTKVa0GQditB0DpiQRYmHEF2osJABbmeQEC8Cb8N7W1AMmzGPwIB30CQzfJB7YHTQdbr70GWj+VBim8FQnAcIcIJjCXC3rkfwg5VEcLE+xfCdqQWwiLkHsK6YxbCWB8mwf7tXsGrtFLBjbX2wcaW98GvcwjCWnETwqpDFMI3ax/CqKQSwjqi5MH6nv7BIPf2wciPAsJF57bCxmC3woYItMLOH5fCxoKdwpPxl8IEkpjCSVKRwrJKgcLW4YLCyuZ/wuvRd8JFT3/C3Zt9wt1sfcKoTX7CxXt/wh6ie8Kt9VvCCM5iwi1jWcJ4q1bCyyZIwpOcXsJaDV7C2pdgwuoKdcIO/HPCyEh5whM4fMLdnnzCCPuUwpLdkcIS55PCyqCbwgy1kML0d5XCygGPwm6VmMI6M5rCb2OhwrjxtML5ZLPCApi4wkvgusJdekfCnapJwlihTMJi9HrC1qF2wi75dcLzGXLCKy52wvvcgsJdT4HCTjKGwksdmsIKmJPClhOWwiKfk8KGzprCKdubwmJAn8I8X6rCQZuvwj5Wr8KdRLbCdRSwwtaCl8HxX5vBSBeiwaNH4MFe4tHBg3XnwZiL8sHqhv/BdG0nwvshI8IBECvC58EzwthjLsKG5y7CBGAswr5mMMK+CzXCoZg3wq4bR8Ia3ULCbhVEwtAXQsK1C1TBwsqKwb8XiMG7OdvBm8nPwcoM08EomMvBYqzbwaiz5sFAourB+/P9wQqA98HLI/nBzgbtwU5r4cGtAeLBsIbawVIk48Fo/CHCcJscwk++IMJtqyHC4n0lwsRpoEG9rHZBKzWKQaK0aUCct0pAdbLaP3LmvT7L7n4/yfiyP7UEPEAGhY5AYTqNQRKwjkGCpXNBW3hGQZa1N0E6MQxBcqIWQQWBxr8JmK2/1lI3wIiuxMASrJvAr5QMwuKAD8LSNg3CJVoVwsJcGsLQUBfCwlMQwsZSEcLAZZ7BXBCvwauMr8F4spnB9VGnwc1LqsEMjr3BQeLBwYZU2cG9+sDBMA1WwZYEfcFlgF/BcEFNwcqhIcHiQ8DCrhLCwoLyvMIWmbPCKHa2wgYFs8IqF7LCqqiuwtHrhsLaYo/CFaSIwiMugsI2C4nCmqyGwmQMi8IYRoPC7H2AwqaAecIa/gXCcBkOwuYAAMLbmgDCUOzrwXPbasJz5WLCRr1swtr8XMIQKVbC3WJRwiJIRsIdY0/C9r6Ywt34ksL7RZPCOuBpwqAbasKAE2rC/ZhowpZhYcILm1TCaERYwolkQ8JgujjCnpI1whY5KMKzXDLC4l2cwfyFk8GKkILBPWS5vzW+3j/wdu+9+UGeP6DKEcDhDLvBoHupwQCur8FL39fAY7njwP5kd8CjbwPAK9dYwA5licDqDObAenDcwRZbwMFgC9zBdo3cwTas9sFGBMXAGj+KwHu9xMD//ArB9W/ZwJ2H6MBAbqTAe5jswBNKfMGz0nDBLbxhwVv8KcGZsjvB0lIQwTvX3sBKlrrB8DnAwZ0cs8E+HHrBgtSbwQLtisFyupbB+08pwaXdNcEF3j3BAuKJwTrpjcG366nB0Li7weX8+8AJ3BnBJtpDwYMyOsEjSDbB9gYnwVIaEUL8dQlCWpwPQhJbE0LxxQxC++cHQs3a90Gi2/5Bna5WQoPAVUJ++E5C6NslQsJNLEKddR1CLhIXQqbEJULIKS9CdQUxQj3wSEIlnURC7rRPQh0hUkJT4ppBbBSiQe5NtkHGR/RBLVztQUuOA0JKMghC6y4NQhpIN0EM7ytBQ2ZVQWbJpkHjjpJB4pmZQVQOhkGYNXXCVat1wiB0bsK7T1bCkhdcwlVCVcJKsFTCCgRQwjCjXcJdimbCqoRiwkPeasJLK2/CwE9ywlMeesLGzkzCbcpTwnjbUMLljFPCwydWwoaQWsJOp2DC5XJdwqb/J8IkginC7fctwqsTQ8LYuzzC/o5FwgpFR8KWUWnBszaIwXbRhsGz0JHBPUybwd1boMG3PrDBVfmowciZ77+tNlfAOETCwPa4YcFaDUTBIwZhwZU+T8HCcGHBjdkXQVW9rEDZFBxB+BdOQZ7rDUH4cPdAwr9hQAtHz0BQ+FjCXqhYwnAjT8KktCzCxdI4wi3MKcJVbCfCXFQawojts8LmyLTCoB26wh0oycLWCsXCGnbJwmZzyMKwdsvCKlkUwizIEsJm8BfC1tokwukbIcKiHCTCRioiwtn8JcICCZRBiCGuQbzkrEHWBdNBSzHdQcoe7UG4ZgNC0IH2QQ69hEFiCpZB7kGVQU4Ku0GV27hBggnMQSLO2kEVZdhBFXHlQWoZ20G95OhB8JrsQfOo80FqrPpBI8b1QTc4I8J4eB/CY1kgwlqNA8IGKw3CuzD/wSaD+8FN1erBSjeIPn9XCcDC1o0/oLPLQIt5PUBAK39A0zHfPxWPmUASoahAAB71QOgKgUH2FVZB5V6BQdgygEEmcBXCXr8Zwmq8FsIT5xTCv88YwnJ4GcKKRx/C0Joawtr2D8JLvgvCoOARwmOlKMIi7CHCHcQmwurOJcKlsiTCezAlwsI4JcL4VCfCDtclwrtEJcI4IyTCcjs1wfi0QsHVZ0zBt72IwYcJhsH6ZJPBdbOWwRt3mMHjG+HBJjbfwft15sENqv3B1gzowVt/AcKeJAPCHFkOwlq4EsIVVRPCbxETwro2FMLTKBTCWFMUwpYN+UFqO/JBCJPHQaBZz0EN9b1BBMezQbfir0GOBTvAGXSev+pz6L/iNLPA0Hiov94rAsBvJpA/akA9wKOTYcCtzMvAPjc7wWHrHsHWNS/BF6wjwW2UpUHC7o9BViufQWKVl0FD3o9BTlCHQUbNYEGMMYJB5mN9QeNfY0E3CEZB7ovmQLNN+EB72tFAY6jOQD9kxECwjM5A1nHCQANgv0DDu8RAO4jeQHIWB0HZzwtBlcdHQo4OOkLWPkFCOsQ+QjXgNUIlZzFCPskgQklQKUKy1hNCei4RQvbjBELG5+dBog3wQfgT8UFDt/RBQ4bvQei760HtLeRBcCG8QdYpw0FikrRB1FCpQcY0T0KDk0hCONtWQuZjbELrfl1CUNBgQh2CV0LCw2RC1n5yQu1BgkKF7HhCstpuQuO7e0LL3n5Cm5WDQk1cfUL2B3pCGKV7QjDOYkJeq2RCjjRXQntnTUKLH6jBq1ylwQ0zkcGKgyDBiutGweUmIMGXmifB1WPywDAC1UFzKLpBtrDKQbZCy0EqOLZBsDauQVy5kEEolaVBm4+dQVbkt0GdUfdB61HeQUt+9EEtB/VBDwkIQvCCAcL4VAnCDVX+wcgm5cFGDfnBzmL0wUjNAsJKKO7Ba7rxwGpINsGz5CrB8V2EwdhlhsET2KDBS12+wUG9vMHSkdPBLoK3wXP5lMGK1q/BZCuswdgcwMF09a/Cf/2wwm3urMLIjp7CVvWfwjV+m8I8S5nCJgeZwsvvhMJmm4LCvqWBwqNiccKtHHHC7YNrwjrca8LOcGjCmjBnwiY+Z8IyC23CM2ltwt3naMJdl2PC/m9XwqreasLak2jCTaduwuBbdsLKPnHCJYFzwhoKc8KYf3bCE6WYwoJPlsJSTpjCeienwppMoMLiu6bC4FGkwoX3rMKDs7HCTAqxwtu9r8KcnLLC49CvwuxGscI1klXC9qNVwmobWMIwrGTCQ1VhwnYcZ8KbDmrCCAxtwlFvmcJeDJjComiewlLlp8Kk8qPCn1WmwqmBocJ/h6fC6jmpwtVlrMJfp57Cdp2mwqCeoMJH4KLCa8+dwqbGuMHyxLnBGrHCwfqa6cHzEuDBoPHswd5q58FyI/bBpuI9wv7gOsKwTEDCNp9OwgtYRcL+2EXCyVg+wrrtR8LdQEnCteVQwlv4V8JLvVLC21BUwjrDUMKOE1LBijd/wa03e8E/gKjBLmaswcWawsFaLNXBo0rWwTWoBMIpBgjCUJkKwiJLDMLzFA3CKoAJwtzxBcJxHQPClUr7wQ5cAsL8yg3CSrQLwmWFFMIyoh3CcWAewmr+nUEC449B9IWMQUhEgUHtvnlB8opdQV4BJEHmmCxBXsGAQfbLgkGrUqhBJkKPQXVyrkGpYJ5Blc2gQf0YfkFKsjdBrRZHQeJX8UCmDcNAGAd/QDt53j/2TARAQGvrwa0yAsK70/LBQP7rwWag/cHg6fzBLgoBwjDk9sHKMILB5d2RwZQ9h8GA6VHB5ah5wYrYacGNp4DBMI9XwR4/ZMHO3TDBtS3dwAiFEME34QrBM3IYwQNa3MAxRLHCA9G0whjAsMI6363CVcuzwsfUsMKgirTCkDKswupgacKgn3XC01lnwvjCU8JTbmLCpXZhwsU+bsKTq17Cew5awq5fTcIttCTCnCgtwmw3HsItGhfCypQPwqDudMIWA3zCnUN9wm0hecLeTHjCwhFxwg0nasJFZG3CZkGcwpNalMKgnJTC0qiEwgW6g8Lecn3C8gFywlCtccIueGbC04Zxwn1XgMI6gHHC0JFwwh3oX8IFjGzCBeJRwbMtKMFNtC3BslYCwe6Hw8CASsPAFo2TwI7678AeKsbB+wO2wWgPtMExKqHB6WuPwU5ZgMHK5k3BhL+AwTHGisG6JJ/BOu/qwfu4zsFz0+nB0NnkwYt3AsLwqSNBlZ9NQW0yOEGtwyRBRdFPQZuWRkE7hmlBUp5AQaorCT/4rV1A/DxFQL1X5UCeUvBA1/0WQdsCNkFDeDFBa4xKQfa7K0Fi8Q9BYDgqQfDfMkGW1V1BVsdDQZPR28H6nc/BQ6bBwZB1fMHz6IrB5vRjwSMnTsHxJjrBwJ1UwWCyXcGQyDrBwvCiwAYMA8HIJsjAmmLmwO2wfcD8fgrAk/1fvpgAzEB4lZZAjoj0QMAXEUEFYurBFdzrwSUa8cENdfPBwFH4waY6+sFVCgDCw5X8wfZazcGre9fBCjvSwUuR48HgQubBohn0waBUAMKZfwDCFsIGwqVW/sH2StrBY4DxwU2y5sEdMfPBArk5wYZ+UcGbzE/BR+2BwdKSfcGSipDBKqefwV/LqMGj/pTBlJ+TwY6ksMG4McfBtXjJwQn+ysHNgc7BQF7Nwc521MFALM/BqIPiwfNy3cEe0+XBqt3mweY7UEHK9xtBjkMsvqKeGUDwyAs/U4OLP9y+Kb/rp//A2NvEwMOJ7sAYybbAUFyqwIMbocDCX3HA/IqXwAjKg8B2TZTAlqz+wNnavsDnOhfBMTsqwUNS50FtZ9tBOgXtQTMH9EHqde1BaxLrQUoc30GOreBBrfj4QVAI9UGbgOxBuxbMQXLO2kGms8lBKoDGQVVUtUHU46NBEuKqQVLjl0FKG5VB+neFQZ19YkFDomRBPXlSQup5XULK/lJCco5dQjujXkIrsVNCkEJFQrUIQUKGdUBCjkxJQjYsOEKmrSBCXhIoQvqAJEL6MCpCmHwhQnmMHEKENRlCpeYHQl+WDkKdB/1BzTroQXu1YkKjj2FC2pNiQgqDZ0KjOnVC8zB0Qg7xeULj0m5CArpBQkLuR0Ksl0hCrR5NQhMvU0LroVdCojtlQv4wXUKinWRChoxVQgpeSkJrWkxCoPpLQovHUULF+tE/8FYCQNy3mEDlvV9B4FUwQUjXYEGCD2NBVE2IQVIJtUGq/KhBzV2+QajT5EGRFMxB8qDPQYC2ukFDudVBuiDYQSOd7EEt0BNCCdMJQi25E0KymxRC82YnQhtCNMEAdUnBfWYiwcZ/XMB4XN3A+FShwGbV0MAtUWPAUH0dQWg10kCAWQNBS2qPQH56bkAuhtU/2uulv/6Rhb5LqyHAleUwP4zMkUAg1eM/5VPoP5bHg7/WJpTC0wSTwuc8j8L1LovCffuJwrgiiMKVsYXCRjWKwnLyc8IXr4LCwxd2whtlbMLmpXrCuJl9wlqpicKFRYHCNhSEwrK4c8J9q1fCoElcwpLrWMLTbVnCHZlUwss1dsI7A4HC5Y+AwshKh8Kbh4jCxSuLwp6gj8KbLo7CoO97wiWdgMLd5YHCxq6QwmYrjcKUBJTCL4CWwqrEmMKuuJjCwtOYwi0Hk8LG/JXCz+mUwkR6mMJDPGPCS/Nnwn1uacJiW3PCSql1wtBdfMIq5oDCoouAwranXsJQBWPCC2hmwvOLfMI753bCKneBwlBBhcKnuIjC8qSOwvVsjMIjMIrCsoSPwpBLjsJgB5LCij6MwpAz9sFTafvB6AMCwpLoG8ID3RfCLj8fwtarIcK41yTCjagtwh/bKMJoYC/Cwsg6wsWYNMIPHjfC+oAzwtoROcIL+zrC5Ys+wvZRVsIq+03CjvlXwvaxWcIlHmXBqoN9wfWygsEp9JnBny2awaM+tcHla8PBq+XDwUYzpsG3oKXBKcGywfC518FI6czBOF3bwX4T4MHGOOPBesbvwYoU68GChgHCaCYCwknFBsINyQrCcQEJwgbrmEGoG4xBiimFQc6JBECAk59A6J9OPm0Fcb+AJS7AOhfewMOUmsBDyfbAtuGJwP6ou8AIEU7AlFMCwHVyEz9uwqRA1gCYQD1edEEZzINB2weKQZJJiUGbq3BBVgyBweXMm8Gr9n7BR6ZJwcVodsGrdW7BwxuFwWg3acHPbaa/kKKIwEvjjcCHWRzBjisawSa2OsF7TFnBeElawbrSgsFI92DBQQ4bwYoQL8HCLhXB/GUcwbEJA8GljY3CfSOPwqpeicLjP3TCPTh7wt2Bc8ILXXvCcGFxwnYiV8JKkGLCG7NYwpFNQ8I21lDCXW9Qwj0zYcLq6FXCsHpfwp0HTsL/3DPCHwNEwuWbOMKm/zfC8s4rwgb9l8KOBJbCB/acwsGrqsLcKqTCgVymwlpCocJwPqfCVu+2wk6MtcI71bXCxBC2wgV5ssL2CbHCV9eqwhxgrMLv6aXC9VqrwuFMrMLwaajCYwOnwswIocITbKXCauWpwZeOo8FY/rnBHT3gwQYn0MGws9XB0v3LwYbT2sHAEAzCcuUDwpbMCMJBKQTC2mwBwsrZ+cG+j+rBKp3uwSAc4sFYF/HBuwQCwmuX8cHr2/rBPXT3wT4iB8JgibNB3xvLQeVTx0GAUe5B80jsQf7QAEJBFQ5CzhUNQkBU4UEiVeRBLoL4QfUgI0JSyxZCWuoiQmN6IkKa8S5CcZE5QmIrPEJls01CjTRUQuanV0KugF5ClaJTQhw1lkFHW6JBIR+nQYJ04UFFWtJBI5vwQWRrAUIKUAZCeTPDQVUSzUEWLt1BUiESQoPcC0LS/xVCoNkYQnAoIUIaWihCyykpQi79NkLEwT1Cta1DQlZtSkL1jklCZklQQkGCRUI6xStCHUI5QpFdNEJLyzpCo0wtQvr9A0KfcglC5W8KQr4YDELEKBJC1cQSQrY9HELe+hJCkOMUQi7eDELViAxCP3wLQlNwEEIaGRZCcpsTQka9NsLLLDTCH780wkb2LsK/DDHCTcwswn4HKcJSPybCasgZwooYHcJ5ThfCqEgKwnZlEsJuxA/C5cQWwnvlDMIz1gnCm+IDwo4w0cG4kN3BU/3JwbRgwsElLrTBgqHAwXZ10sGmPLzBkISfwfq/ssFyd6/BpkO+wfjUq8HMYbzAchIQwbj+B8HJv0TBWgFbwQokhMEoXqHBgv6XwRCJpcFXv4zBCvo+wVpRcMGSa1/B4ouAwWV9TsFMOEXBPhUmwdjWNMDcrK3A5koHwE6Orb8auhA/U+zgQI1ROkCVyuxALR4wQTIPAkEWBQhBnzzKQHH6EkENyx5Boyg/QdODmkE5OYtBY8OeQTfRo0G+LDXCOpA9wl23N8ITejLCo/Y7wr5uPcK7pkrCW09BwiPmJMK6MynC71oowuQ9NMJK7DLCLps8wvpRRsJOsEfCiqtTwhRRScJx+EjCht5NwtJvUcJDXlrCSzFUwquz68FyQv3BKn/1wSkSC8IAFA7CYBAVwkKvHcIi8x3CRoUIwvmAAsKgkRDCAGo0wn1lJ8IeAzLCXTgvwtiAN8IdFD3CsJlAwloRVMLrJFDCUg5Twh5zV8Jo1VrCjVJjwurAW8KVPV3CwPVewnAPX8IySmHCHahcwoYrNMJ3yT3CW5M6wiMTP8J08EPC15pIwtpBVcJeVk/CU2ZUwuWTSMIeOjvC/689wvMPOsLNqEHCBjPzwDYY4MDln/7Aov0cwT6UE8FEQifB8CdZwcahPcFAum7B6w5iwd0BcMFqVE7BSPJGwZZJXcGl43fBgGuKwTjMn8HM2pXB1oetwdomsMHmDL3BVabFwUY/xsFr2oHBSVKBwaKtjMFfIaPBqvqVwa7gksG98YrByaKPwe34zsHRYsXBL7G/wVbyqcHvsZvBWuGQwdO5e8FKMo7ButCPwSgdq8HG+ubBAhfVwRsi4cGNotnBTbDlwdN+58H+p+7BhXUFwhTrAML+HAXCth4HwjaRCcLY+hLC86gOwsYnE8LZSxrCuN4Vwhb1GML7gxbCrJAcwjl0IcIiOiPCGpwtwkJjLcLQYDDClb8zwrJvFEL1rRBCPsbwQUjI/kHTk+tBBQrlQb0c3UHFwdpB83vaQbAf0EFb/59Bnom5QTO+n0EA/KRBEMmRQd0rk0GqrYdBU/9SQYhUYUEptDxBwrErQW7UFEHg1VpBGU2GQcXTXUFyiCRBSNRMQR0gO0Fqj1ZB0OIsQdeGiEASzLJAY8G4QEi4ekD2VbZAgk7MQCdwCEHD5e5AHQ4IQX0JyED24E9AvWuOQB9Bi0CjWqdAtXqgQIpAuECx06lAeru9QKOK5kDICgdBT4AkQYUm+ECdemTAK7TGvRLCXsDBe6fAEIhOwHoJVsCz/8i+8FBtwNvLccDNdazA29kTwb70B8FIxQvB7VTpwJ5hP8BGRfPA38MkwDsnVj5lyC3A4AhUwDLa/MAOJm/AKDI6QWMpEEFtqAFBNkr+PuIHlD8+hL2/K4aDwCCrhcC6P/HAIX2LwKIXRcC3RJrAQIOrwNWbF8FelMfA9zG8QT3+qUHXqKlB042DQbk4jkE4uINBhsR+QYBkb0Ed9yxBENBAQTngH0ErCv9ALjUdQcr6EUErlSVBZgXhQKjGXEAa2WpAtneTwIDyasDeouLAMS4XwRwoIsEuXELBtNAgwXA90MCgaxzB2MEcwbY+SsFw8BfBNjPyQG5leUBDpItAmv71vwgC5b87a57AfGUDwYZL9cCzYB7BRuXmwEVB0MA1QcPAsOXZwARUusBKL/fAaAb/QQvE4EG2DfFBrWnyQcuc4EFan9dBKFvDQVut10G2uyRCDUMbQjWHFkLNxPpBVvb6Qa3J7UH4Id5BjSLlQaIT20EK2e1Bm0DcQRCTz0GiBbtBP5GnQeJOrEEbDGpCWndnQnrvYULyDTxCicFCQh0uMkI+3SVCcokhQh2zDEKReRtCyCAOQvqH6kFDNgVCaE77QY48B0L4nOtBKNfjQU3BykEI2MhBihe1QaEOwEHOarpB1h3BQQvytkFxtMJBBJ7HQW1twEEdKrZB4gSbQUpXn0GLCdRBnSTUQf5/w0Eu8nRBxj6TQVJiY0EaD1NBpuwrQYGnzEAugPxAsAdSQByMF0CzU3k8MnefwF368UEIe+9B7AQAQhs4E0LRLwxCeyQSQqF4EUK6pBdCZoM4QpMYLEIJSDJCZQ4yQuvLK0LwkilCvQIiQlKqJ0IWEilCsLIsQjbEMEK+7ixCjdYrQhWuJ0IjuypCmxtxQn2rfkLRi4BCumKIQrwUiEL9FoVCM294QjuIe0J1I4pC7U+KQvk3ikKNL2hCiIB2QkDIY0K4bV5CikZWQnAHTULy/k1C4o47QgJhOkKXtC9CYxcnQro4J0IDfR5CKRArQgC4N0JpXCxCbJMsQn8pIUIqDixC7SZoQqhRXEL4PVlC3bw4Qlh2PkIqnTRC+rwsQrZeKUJ0uxtCOtchQpgTFEKasBJCTswJQn6y/0Fe0BfCGgEXwvpfEcL46/3BGAUHwg5RBsJpcArCkkkEwuZMq8GH/r/BfBe1wbkfyMEaSc/BfRTawY4/8MFN2ODB08HkwRof0cEzHMTBPjrNwa5HzcH+U8fBHUDEwX/PGEDwSXm/sPDmP9j5PEB1MdU+bouxvhToLsCuTHi/ZjN8QeXuREHG2CxB3XkuPT6D5D/qWQHAAP1zwHclzMD6KzPB6zsRwa37JsEGfFvBkCF1wYc0nsEzg3vBhvGAwR32QcGKkcS/GF6UwONY+L+q+ci/vRcjP06bjUHo12BB0I+IQdKOjUFAIXRBfYpZQeIQEUGPGjxBRTAqQZqcY0FCb9BBp1ysQX7GzUEiRstBBlPpQY1ROMIPg0XCjPo+wkzJPMJeekLCgs1AwvLZRMLUDj7Cr+EWwl55HsI0hh/CEosowjf6KsKzVTDC6AQ5wkcEOMLuokDCIr04wvyiNcKBGkDC8G1EwhtCTsJp3ETChpB4wf8imMGoK43BMRKoweD+r8F1E8TBJSrfwaKl1cFon5LBoRWWwaIGrcG2kffBjprgwT7b9sFQmfbBUXkGwvKvEcISWRHC/JomwvFhJcJRAi7CONA5wvFSNcKzSj3C8kU1wgYiM8LxyzfCTDE5wr6CPMK+TjnCGv7/wfe5DcLCVQrCnkQawjhfH8J2zifCkQk1wl4RMMIHYDTC4McqwsCzEsJNOiDCKqIbwn7cIsI4R8fCFn/Mws16x8L+DcDCYq/Gwv9FxMIYFMbC2a/BwjZPq8JccLHC3kmswtrMqMIIEq7CntmuwjhFt8JivrDCFZaywnG2qsK0tpvCaMaiwk5un8ICJqHC5QycwlaDk8IB+JjCkpGUwsDkkcJvD5fCNp2WwjOjlcLDB5PCw5J4wir2fcJyfn7CCiKEwlAYicK+v4TCspaHwmj7gcIDqoPC8m5/wh4Kh8KRa4jCUyyNwgYplMJ5h5DCWjiSwvEbjsKuz4XCGHWJwoCYhsK81oXCPTyCwpYQa8L7nnPCCoVwwu7YZMJOHmzC8+ppwkiocMJ9KWfCOAZkwkaAXcKDXU7Cqj5SwrTTScLV0UPCOiI6wvOnScLO4krCbTBOwsZMXMJlBVnCKjBfwg3lYcJ2c2TCxtdiws1UYcJuW2TCfppzwq3ua8J2hHPCCANzwp3VfcLHOYLC4DeBwiK6f8KnZ4LCGDSCwg/1hcIimYLCLRqIwiKFhcLVJofC8XOIwt2WhMKf3oPCPJmAwtWphMKp/Y7CAJGNwn34isIH6oLCRgGDwmZef8Kyi33Czq56wpCSeMJ7jHrCKs+Gwr++gcJOOobCaqqGwp1Ai8IiaY/Ca6WPwil/nsKtwZnCfaifwl3/oMJcJ6XCfx2xwqJyr8ImZ7DCfwq1wiYascIIvbPCKSCvwrAztsK+dLnCPpu8wmqkv8JqU8TCBZrFwjPoycK6gzzCxpA8woZvQsIaaU/CkYxMwvMSVcLl9VzC5cdfwnb0WMKCfFfCgjpcwnaIbcK9/GzCdr1swvLTbMKAb2rC3WJqwrZ6asIO+nPCKkZxwkMVd8JN7nzC80Z9wpKcbcIzjmrC8oBywnYkgsK54IDCxh2DwkgAg8JDGYbCiyyUwtpIkcLD3pDCQnKJwtpWisIiIIbCGIODwkolg8Ivf4DCE+yDwv+zjcJuF4nCwYCKwmi9h8K314zCoKCPwiK3lMJPj5nC5JSbwmZdnMITLaDCHjqewkGVqsKTFKbCm/WpwiSyr8L5bKnCQIKqws1CpcJD5arCaiKswp7RsMJTdL3Cw9C7wr0wwMK+mMPCguXDwsb4VsEdNWfBAm55wVhSpMEm35zB8IyrwfodscGS4LPBWIe9wU6NtcFa27rBl1vDwcpQucGzLMXBPovIwdrm2cGAU+vBrtnowZIvAsJLfwDCzSIHwlDeC8KqTwrCajEHwlB2/8FpbAvCK40bwpGSE8KiiRbCq2sOwpODGcKRSzfCsCc1wlJhNsLW6ijCvigrwrY3I8Io4hzCB/UcwsahFcJ1TSHCIL4owgRFI8JApR7C4yoTwpw4G8K3NBfCEskhwtQXOMJ6UzDCnEI0wsUAMMJjFDbClZZDwna5P8Jt7T/CzpM8wiZMPMICQjjCgIw1wqrENMJo5DDCg6M0wr1QPcLgITbC6yc5wtEKM8KS/VPB5cyEwRJTiMFW8K7BkVKtwTZCu8FCYb3BRMLAwS5PuMHvuLnB5gDFwb6FvcEijsXBLvG3wc3ms8HKrKHBOlCNwXM7nMHqkLTBsS2kwU0bosEinpHBky6hwSCqnMGm45vB5k64wcZQ9cH2OeXBI+72wZL79MHSbQHCMyQMwqXkCcIQKAzC8i78wZVMBcLNP/3BOxn9wSuB78FaGeHBqvffwS2gxcFNxcLBLq60wRB2osGsKKjB7COhwWQPscEt2+LBToDUwfIn6sHea+zBpjP8wT2jAsLwDv7BjIcJwkOMFsKOSRHCg5cOwpBICcL5Ag7C9bEPwmqiE8ILJSHCcoMewmw0IcIKGCLC5XElwpYCpkEIdZ5BunOMQeBdJkGvIj1B7JsXQXLA3UCzIdxACldNQXMdQUFI2B1B6iorQLIklUDAeBFA+gzzP80SpD7Lts2/KOpovzp7WsAdA5nAAJyxwM+Ny8DNQrDAZTdWQT5qeUEpBy9BdoevQFaT00CLPcNA/B26QMU5v0AyMm9Bk5YxQV0HVkG8zTVBkogcQby0AUEdN81ACrfMQBr1gUC7lchAKd2yQBw5lEAppUJATbjdv0YDTz/wO+O/oyZoP9zJAkB1SsA+c/jWvyp2oMCtMJLAmlWUQOWpnUDAnEFA0wGmwPhpTcBbPNXAW4OywDss08DmS83AfsX/wC5hVcHezUfB1pFxwfheeMFyI4/BbDoVwp5TF8Lq6xXCz3AcwlWYG8LSGB7CkEUWwumIHsJDZgrCUKgOwpFYEsKYWB7CsHAgwpH5G8LhqRTCI1AOwiKDBsK8QwfCLYH3wWZn+sE4UP/BVycUwqjbBMKaabXBHIa/wSXxuMFC2dHBIvzTwQjB4sGbZPXBCOT1wRmOscFLj73B+xzDweUn1cHAduLBnbTswWosAcL2/PPBw6L4wfDL4cFT/u3BFubjwapXBMJ2OA7C7eMIwvrMDcIIQwPCULfcwWAJ68GF6NvBgHzlwTp/zsHrSZTBEhOvwYCioMGhqJ3B4lqpwc+4p8G6zrjBMki0wYvsw8HQkqrBlfxPwacahcGoQmrBBoSFwYBQV8E1ptDCtdzQwluq0MLessjC83rNwlJoy8LRqcvCO2rIwg7qvMInGb3CGITBwis2usK2+b/Cmwi8wrOsvsKGWbrCtl24wncitsI7Q6vC9BitwkFUp8LxjaPCuzKiwukJksLXN5jCJkuTwvGUmMIms5rCmMaewpiepcKHi6DCmLOBwt+Bh8Ksn4nCLN2RwmcslMKEEJbC+tKawtGam8LdQ6DCqhKcwrN9ksL+V5jCLlGVwqpKmMKQDpLCRbWNwh5ui8LdR2/CkBl0wuYgYsKABVrCJa1TwirmR8KqRVbCkjlBwmItJ8K5HjbCiZIywmW5OcJhxizCgecnwmDJH8KzVvvB9t4Ewq1v78Fl0N/BdhTOwXqEPsL05TbCylU+wnLiR8LwrzzCSlU5wqIbL8LbPDfCoNZ6whuccMKYk2vCswNJwqhpTcI2Sj7CF3Aywu+/MMJSvCPC7cguwsYeLsJOsyjCguUkwi4UHMI4vCfC1qSQwpsVisJLeIzCd62DwqfggcIN4HrCPWhywm2SeML+IobCL2GGwobWf8K2lnXCnQt8wl1wesL4L3bCC2hmwgDVVMLVXVvCCjRNwk0ZRsJ2pjvCNgctwqg/LsK9mSHC9kwwwtIvO8LLNzDCkDsswqCCG8KIKCnCPr9QwkoMSMK170LC79Unwrv5LMJY+yLCiYAgwoI/GcKOeQ7CGesQwmL6D8INAAjC1RgFwkbW7cG3GQDCWZalwfcRmsHi9qLB+/52wSoOiMH2UFzBLQJBwZXpHMErx8HARqD5wMvEaMC+1LZAS/v9P43YpEAl9bw/EXkDQZ7XI0FIqylBNXtdQEqf9kCT95xAWO/eQNWfXkDcQJfB+uqCwdLbjsGCAofB8Ot1wbsdZ8G4oT7BLq9UwTXhk8EuvJPBMj2DwXn0JcE9HUTBkuMgwQWMFsGYh/HAAsaswC3htMDKuss/5pWIv5MbTEAun4RAuLDbQIvVC0GKKLtAW464wB6xF8CIPJ7APkl8wEst58DV0obB7fdowasMhsFMxoTBTqZywSqdVsHMpyrBRdFAwSQVOcGubmzByu7RwV2RrsFcTMTBslK4wVVR08HQYBbB4jn/wBA8FcHyZxzB2vIiwQqvW8H9SVfB8ilKwVmONsEms4TBXh+XwbKJacH2Hl7BA3xGwTp5ScHzq0nBXVNYwXgWLcE+TTnBbvlEwSJBH0I+KhVCLuscQn6QHEJ2oxVC6ThJQnggRULH7T1CgGEuQpUNKEL8uDRC4gw4QgIZREJGX7pBTczJQXv9zUGyZ99BShDyQYYiiUE5C4NBQjOXQSIPp0Gj+2XCeDpnwg44XMKtxFXC1fFQwnXaV8Jzw17CC5Rbwk4mXsIlWEfC3ShNwryWScKeTUzCumRQwjo9MsL+tzPCnxU6wkpEQcI2b0XBBtt8wX3aZMFDL37BwcuIwXXl0sD01gfBRnIqwf7mW8Go/n3BDoyMQSISX0FKDotBluuFQTNLeUFZHErCdglIwo6BP8JhLTDCfe8ewneavsIPir/CV6rDwm0+ycLGRcrCdd0dwmJlHcIZ6yHCO2glwhPQJsKWw5dBIiKuQdNerUHwpbtB2/vCQQKMhUH4p5RB49eXQebGqkHFUcNBaMfUQVnxy0HbZdVBplDfQcJgI8ISNh/CyCgYwhmBCcLK6vfBa7DPQPB/kEA27wFBvl8SQUk3G0Ha0iBBoCVOQSuUfUGnuxHCTRsUwg1REcLzfhHCi28RwvBaD8LJEhjCsPAawvNQJcIbaCrClqApwqIDKcK7rCbCffJWwYP4WsG1FGzBuFWAwXxAiMHYFOjBU2LqwfMo5sF6vPXB2x4KwqRCEsJncA/Cm3YRwg2/6EGtDdJBwtfCQfh3t0GGkdPAoL5/wB6E+cCQWwbBVvMHwVDbBcG9yirBMcxHwb1ntUE1bahBXgWvQf65pkELiJhBLXVHQQGXL0HSKBlBW7PyQJ7sxkDao7tADcu0QNaJtED81MZAUyJdQrS5SEKCFlJCop9NQhxASUIIQO5BqzfvQeaH30HjkNxBAM3YQVih1kGvX8pB3pvBQXUkaEJzdGVCC5NvQra+dUKw93hCCOVeQkLvakIGDGZCMvlqQrPkdkJzz31CI8h9QrbHcUJ4tXTBMwl3wUi7TMGwCiPBZhb3wCXF/UFIlt9BlWP1Qbp96EEzr91BTbnSQZg58UEqQQBCqkYIQiZ63MHjR+zBlvjXwX6F08Hy+c3BqBjOwMszIMHC2RvBjkdSwRszhMHC0ZvB1vuBwdaifcEuiKrCDHOowkSHpcJSq6HCNvWewhV4dcJzOoHCnr99wsuJesITJHPCcDhtwpDFdcJDWm3ClStawrvMb8KIInTCrhJ6wuMofMLdunvCK/+cwpR3nML+a6DCcxemwp1wrMIQ77DC5eauwnnYrcJQG1vC0NJawqi8XMLwaGDCJbZlwt6mncLJ96HC6PqhwsbCpMISOafCUt2pwrclosLCpZzCoyOYwujwx8Ge58vB3R7VwVB348GtbPPBXhhNwkYoSMJKpFHC7j9Wwi7LVsL2VFXCNsVZwvoIW8JbJlXBntd3wdKadcEdTY/BKKakwTwoDMK7/AzCu4wPwsHkDsJJfwvCnaUHwlqrC8Ju9QvC4csPwoVAnUHgu5FB5piXQc7QjUFrlIVB3WaiQSZ+qkEPjZNBMP5zQd08aUH7B1JBjstSQcMTNUGmFBZBrbnMwQWZ4cF2B9LB1rDVwVq52cHdgFjB3ghzwSRrTMHqzz3BP8IewdiFCsGN1OfATAy6wEiVqsDWpKjCqvGrwmAHqcJKqKnCSmanwmouTcKg3lfCdYpKwuHdR8Il70TCJmpBwiBRN8I/RyrCAhodwuBDfcJ14X/CEPeAwlADgcJq937CQl6awqpFk8IG9pHCxeGKwppAhMKjn33CGgKFwvvohcLtB4XCRfhSwcj2KMEleC3BoVIjwe4CKcGXd8nBe8i0wUn4wsHVFcHBam67waETuMEVo9TBuITuwVnwBsLSJP1AptIkQUD/DUEuyAxBgV8DQR31Yj25PDhASLwmQCpvm0COrONA+g8OQfUX2UDSk9pA+ybfQAWIwcF277LBKKCkwV0gi8Hi8G3BxZwHwU4kEsFrK9LA12uGwEh0X7/aqag/KZMWQB1WpUBwbOjBkEfxwRrn6sEFS+zBEM7rweapxcHFcM7BW/vLwf6k08GtYt/B82TrwSgA2ME6Ms3BwXohwdPHScG430HB8k1mwW70iMEKab/BgoXAwRB1xMGLx8LBQpvEwdxxy8FFMczB64PawbgR2UCBt4dASQ+FvANa8b9mjRDBZEcBwdXN+sCCDc7AAdemwHrnjsDSKpPAXanQwOUIBUJS1vpBVQ8DQq9jAEJLePZBMIftQev250GIpdtBc8/NQQ+CvUGP6rBBoEyzQXmNpkG6epdBq11RQpa/VkIDxF1CNbdhQsCkV0JCMyRCB70pQqr+HkL1whxCNSsbQiNNGkJTJxVCQAsMQurbVUI4TmFCK95UQi38V0KeMVtCiu1LQigvSULsIklCampFQjf3RkJKeUtCTwpIQlqOTEKF0ONA5c/wQFhlJkFojllBhJ6EQfLO30HqvtJBXe/nQQCF70HA0fhBKKz/QcorBkJChBJCgvMlQjStvMCj0d/AdR2IwL3pD8BOZUq+3ag4QVICDUEydBNBAAfoQHqEtECw/XJAAGDVQKIa5UBW5pDCBGKOwi6/j8K7so7CImaPwvDdYsKbs2rCjgFhwqMLX8Iy+l7CYHVhwkjtWMKbjlTCVvJQwl1Ec8IrKn/Cexh9woqvgsJyeoXClqSBwnJQhMKG2YfCWNeNwkW6lMLQapjCsQaXwgXklMLqMl/CpsFnwrs/ZMJoWmnCwh5wwmr0Z8LCAWvCNp1vwlp4eMKLn4LCvmiJwtUfh8Kxu4fC+wmHwqaABcIlSgnCXQoQwhhfGMIerR/CY2A6wtinNsKlGj7CSrlAwsxkQsK2XkPCxYBJwti4U8LIm3HBMq+AwT47eMGXnofBuVGdwbMQvMFSY7zB6FvJwaiW08FeDt3BmvDpwVUw6sHz2PXBIB3/wUXxh0FOz19BEOQxQXDNlUBC56a+P1smwXhkDsHf7AfBWmKuwP7Oa7+HkIBAYPxdQLKCDkEdQmBB8fcKwXeNTMGZmxXBDccewSwxIsHHTArA+B6VwI5YoMB6KffAzjMkwYVsPMHA9SPBZyUawes6CMEmOofCRkWFwhNygsJOj3rCQz5vwgi4P8Kil0vC8Ew9wkdfOcL9gTjC3Tc9wuw1MMK1KSvCwkkkwhVXpMK9yqPCTl+owrDorMIqtK/Cl/y9wiKJuMIjgbzCVOe5woG4tcJL5a/CFrOywo5vsMIu0a/CtlnRwXIhzsH2nd3Bg4XmwT7/7MH9mRTCpOgMwhJnD8LDpwnCHU4EwpJX/sFXjgXCtwYIwpAsC8KP6KpBuhzDQePuv0HuTdpBvSrtQXYpCEJu6ghC31cVQlLUIkK6ozBCMys+Qr6hO0JzIkFCTllAQo55oUHUyq9BwKS2QTq2zUFtwOJBILvoQeYc8kEjEP5BCSQLQuckGUJGiyhCiuogQn+/KUK0WS9Clqk2Qv4aKUJkSCRC9PcdQpqtBkIrZAxC2ygKQrDFCkJCDQpCjgoJQrU/C0JuAQtCL/8JQme9OML23TbCaOc0wnwVMMLoPyrCg2cLwnDCD8KmDAfCpS8DwooP/8G6vvjBy7/qwdB62MEd0cPBChOPwd5MpsG3/IrB29qFwYUZgMEDBIbAuI3pwHVSucCbewTB5dI1wX3NXMGz5ynB3k0cweW3EcH01QrBCEHJwH3RVsD+Vma/VR8/QVUfIEFSbEJBvc5LQcV0VEF4XV9B69p9QacUlUFOlCrCW8cxwpIiKsIv+SvCvocuwqhqJsKmdCjCvpoqwtg+L8Lh6jjC3INCwuJpPcIW2UHCVuhFwqaJ7cETFe7BWqfswQve+MHIMwXCptMiwqrLH8J+PizCvpE2wm5WQMK+LEbCAylLwoJNU8LKXFfCQIZZwr7oWcKu/1nC8wJXwtj2L8Jy9TjCzoA2wlZEOsIVmj3Cpfs+wpgJPMJkfjrCYT8fwUNDHcHAsCzBC9s2wTa5NsFjmIfB8Gt5wc4Qd8GGxlPBGlpgwfKQisGTLXvBFU6PwRi+osEoS5rBnR+YwYzmpcGq66/Be0uywcaszcFuRbjBhtTIwTYRxsHSAsfBcovHwTvb4MHQ2+3BO272wchS+cEi0gDCK/IFwt3vCcLAFhXCZ3gWwovCF8Lf7RrCQtwewgAKI8KKAiPCh5QmwgnKC0JVPAFC1cTyQVKm5kE1mLlBgyXAQX3osUEnR59BdHWQQe76hEH0nYJBIIFmQQ7aQUEgtdxAZs4rQdb39EDezwhBdTgEQYaZe0DXr4xAlucoQCpiDECoXCJAMJh3QAq58z+OjA5A7e9KQBhUj0Bo+0JAOBdpQPnwl0ANvfzAhxy8wKb568D6IdnAekXQwGPx08AW5frAJ+8Swfkjg0AOEFo/mztrQHXyTED+NS9A1AgYQa545ECiNsRAysUeQKeVFb6xJRPAqP0Sv/aOYb/dhI+/0trDQURFrkEGkadBK9GMQaIvZkGwkOpAnZMHQWZO7UDihOhACxWlQIuPMED4vOI/LjH1v00VmsAlIeXAWlyJwDsIZcBgnFXAdTYEQZGzlkAKIpJAwPzcPs1NOMBnuKfA01h4wNNUkMBV3J/AnG8TQs4CA0JqYA5CJS8IQhWCA0KVTBNCN2EMQqNbCUI2CANCQlb8Qa2D+kEUVgBCvf3/QfKb6UGmyE9C3hNUQu1aRUKy9jxCYrYzQi0x9UHfbAJCXcvwQYqK5kFrY9VBptLDQYaFzkFjftFBM1XUQUv5zEEtcNVB+BDTQdApzUET+K9BIamwQX5am0GKeIFB0xFKQcjLE0ECsCFB6ETiQIj3CkIACQhCxbwQQvvBFUJVtxpCWrg+Qp0ANkJJyztCKqM5QkZcNUK+FzFCszQ2QrQHNkJT4jZCncN/Qkwxg0KqnoJCfmCDQpHDhkJoQodCvi2HQhOYgEIF4mpCg2NaQm2MTkKdZE9CIQJIQqaoQEL48TZC5I0/QsYIQkKwYkJCELNUQuD/UUK/20ZCJt07QqCQMEKynCVCNvcmQtCzHUJKMAfCHskJwnovAcImEvTBkqHqwXX0jMFqi6rB58ecwWckrsH0u77B7mvHwRV1tcEyka7BNBqmwW6PA0H8CoxAjvDrQIXH1ECVlLhAVttIQe83EkEi7vZAmdxAQING8r8aU9PA80VtwNNKrcBVgNnAs9/8wIA4XcDLjAe/cmZFQHlQu0HyPKFB3665QVhuskFVCaVBAa2YQaj/vUE6GNpB+Hz2QYKlKcLL/TTCsEgrwjWAMMKuFzPCqPwWwquyHsJ3fBvCSOgfwtLHJ8InGDDCXUoowl7DKcKCbyrCkwFNwfYMg8FdcnLBQ/mMwbDioMFK+sLBrZvFwVLA3sGuU/jBI+oHwqK7EcJy1RLCFacdwmIFKMJfUjDC9g4pwpYPKsKgKCjCYArywRrpBsK5LAPC0tsLwostFMJQqRzCpk4NwrkTCcKi4rzC6krCwqlCvMKNPLvCRgm6wlCsosJdNafCHXmiwnKGosJFyqPCPeCjwlaQnsLhlpnCjamUwui+hsLJF47CQoyHws43icLjSIvCRb91wjgbgMIXjoDCSaqCwnijfMK+G3rCBQJ6wo1bfsK214XChrWJwoflhMKfO4PCqMiAwnOyZsKb7GzCFeVowjVCZsJDRWDC5glbwgtCW8Kqh1LCJ7tCwr57U8IQK1PCtdRYwoC5W8INrF/CNklrwpJnaMKIwm7C4/FzwnNfesK0VoDCirx9wsVDfsItGnzCeoSOwjImisIL0I3CKkyNwlizi8JYVJHCkO2KwoPAjMK4/IfC8jiDwjgBgMKpZoXCnEmJwvSjjcID+ZDCQTGUwpSInMKdqaTCXPSvwvbLsMKQyrDC/nC0wrJoucJqHr7Ck429wolMvMLFa0PCVHlFwo0JR8Jtf0zCOvtRwmZKZMJYFmLCNVxswno7ccJwEG7CbUVtwjbsbsJquHHCuv12wg38fsLAP37C9TaAwg5FgcLb8oTCv12VwtDxkMJKP5LCqhmOwqZjisKMPYjCINGNwnJYkcLKjpXCheWYwoWjmcLwOZrCFcWbwtkSrsJnT67CMWSwwoBxs8IQ4rTCcAe1wukeucLPxLvCoxe9wmDvhcGG3YnBAFCVwRQKn8EDKqvB5tbNwbYKv8EyEsXBA4TIwV4w1cFAMefBpivqwa0d/cFiJwbC97IZwmHMFcI/TRzCdrEewrbZI8JecjPCS1kzwmbRL8LegyvCJmopwjayKcImdCvCL1YrwveHKsKe6SrCAa8xwmUCOMKQNTrCqMhFwoD/QMIHh0LCPp4/wmK3PMISZjjCwEc9wt+1P8LyEFTBBYKKwVU4i8GeEKLBhHOxwcBWz8Eh2MvBDXzPwapIxcErFrfBROirwVtRu8FILsLBdUzEwVaexcGa8MrBLarXwQa08MEkhAHCaFgIwq2iCcLaoQPChmP6wV3368GTWd/Bta3hwa1E1MEw18TBQIu+wb7wy8FNT9vBENPtwZSBFsKANxPC0lsZwpFUG8KOzBvCJnMawoGMH8Lc/CHC0YclwjA/lEHKaH1BPutxQYYxSEF+vh1BgrMBQQ7Y70AKWaRA9nk7QO/bij+FoeS+016MPD94ib+t/t+/PeJWQGFYvEAt5UtAn2yKQNiZy0DYoqdBuHqAQcgNlUHPaoBBmElNQevDDUFkiDhBCI8QQVLqykDDsF5AoP3TQAfyxUDSYoFAGi+PP0o2yT9m9eo9wOJCwANy38AqTBvBxVYCwQUyH8G48ErB5osPwsZDFcI7pxLCO+oVws4+GcL1CQ/CibMWwsgmGcIg7xzCTFsXwnJCC8JgSA7CrJsGwh2a+8GusqPB/Su0wRKisMGGB8HBbdXOwfPfp8GhJb/B2Y6ywe7XvMFkOsTBXfbKweNOvsHqKdTBRaHywUv4+cFS8u/BSlDmwRv32METCnLBMJCQwRodg8HKC5HBlneVwQrFk8Ej83zBpUNFwYbQIMH9nsrCQK/Nwl4VyMIbNcXCpSLDwsDUvsIuVMHCdWi8wlpVuMIv6rXCEtOzwubQssLGcq7CTU+owulnicLv9o/C8tWOwmlYlML5CJXCmc6Ewi2gi8IJ7orCmtGOwkStkcKrcZbCUNuQwnVdjsLkl4vC/WGIwuPhhMJ7C3rCflxpwiqwJMLO/i7ChNMdwmtOGcL+8xfCzBEWwva0C8KjMgLCK3DrwYaxUcIkG0fC07JTwqDMVcJyrVbCBTtmwkL0YcIti1rCShxQwvt4RMJG2jjCuCA/wt6GOsKfgDfCeIaVwqN/jsImW5HCHwOLwtejhMIgiHLC3t5zwnggbcLAU27CcIBxwi4KZsJoIGzC7rZewkPtTsJBBkDCGKJMwtdSR8KyVj7CI7lIwrmQPsJoFjzCAf0vwuHTIsLATBbCIngewi0JHMI+hhfC3jivwaMMpcGP0p/Bb8OIwXjeWcEhksK+rdnhPvay8j/GfodAGJnPQK1ICkGzEalAyz0eQEBH+L2u2a3Bi2qZwV+Fo8Hrw5jBph6Nwb47TMGWiWLBaOMywWJ2GMFl9vzAlBe8wP2ofcCtKww9x0OrP7O0B0DQB8a/cpG0wCM+CsGD0bPBYrmYwZiGqsEUEKPBvDCbwWdIk8ERsbnBZvXZwfuy7cFMpgzAqnFFPU0PGMBoow/Aq2sOwBPmxcBbF5HAoU0ewG3aKMAybDPA4M07wBtxkMGVC4fBJjWBwQpKZsEoh07B4MhUwaX3RsH0GizBBQACwdJnnsCIwsLBc2LOweucxcGiScfBwc7EwfarqMFCYrbB8rW/wXIdtcElKaLBzKMHwQULMMGm3zHBXl5qwdArlcF4CWTBtQySwZqMrsF3k73BKvq9wUuEZ8B7C8XAXyMDwTmpGsFRXjHBG+stwSQrJMEaox/Bz/gMwSyeDEJL6wdCExEHQgofA0Le2gJCW+YNQqqVCEKWY/9BQpHvQdg84EGvrMpBuyVYQkY/XULexlpCKH5MQqtVOkLsljxCC8YxQgG8KkKHCx1CBVwTQhYLK0LFuDRCkY8wQinrN0I+sT5Cbyk8Qvr7P0IqaElCUkpOQpNNUkKaYHNBExOHQcFpkkGA5apBrKrBQXCs0UHyldRBdV7YQfAs80FWbwlCeg8bQhCtu0C2YJ1A4vsAQSqfJEHd7UtBg9F9QRDueEG+IF5BertiQbKNZ0GIuIXCeBqIwqWhfsJlfnTCq8tswg3HZsIgN2XCUPJjwnbCW8JwS1TCFpRNws5/ZcIwe2/CNeRqwgN8ccLbCXjCHY5nwl58c8IjRnvCLbl+wkRhgcJdGFLCAulZwnK3VsIINFnCa2pbwmoIU8KTKVnChgtgwhgyZMJqfGnCgr9two6GHcLTuR7CTusjwnU1K8LT8jHCM981wu7hNsJ7LTjCcOE/wuZ9SMI6HGbB0GZ6wZZ7hMFzBpfBRVmlwdjQksHKN6LBq0qvwRS0uMGb9MPBiCvMwW/UikA/uJQ/q9Kkv+6OrcBmggvBQhwbwTqSJ8FxPi7BY+E7wQKfLcFINATBD9W7P8Fwl79Aqd4/xnvKP6pXuj/tUxdBqqqcQOZznj/LtlI/WobvPjDhdD7uL23CeAhuwkrjYsJoH1fC+CVNwjriRcI9YUPCOFVBwl68MsJt3CXCykwYwqnRqcIIoazCNXGwwqsFtsJQYbrCfoG/wtuLv8IK/77CFQ/EwhYexsKIUMTC0NoJwiM2A8KbvwvC4ksPwgocFMKr8RzCKIkbwr+yGMLgiBzCA7Ufwh97IsIu9ZVB/b60QejZsUFMg8hBwiTfQUh9xkEmKd9BMJD4QTUIB0JOZQ5CJOcRQmIciUFYBKJBvlCaQd48q0F1hrxBzvCmQaFuuUEYzs1B09XgQSvJ6UEeJvdBHUwDQmaL9EGuzfdBNaD8QctX4kFmFfNBJYz/QUShAEIzif9BHZP6QbYPJcL9ViTCrD8gwsUpHMImVRjCmlAawvuXFcIlxhDCBZgGwhWk9sGQDd/BOsu0wEgv78CmJpjAPdZ7wDgSU8AuZuU/dhRWvx4VHsAj62O/FTgRPpLczT7/R8w+diwOQN5HvkByDBFBjWcmQR1TL0FIcDhB3ehhQZfrgkE1ARzCUf4iwtAoHsIUuh/CT3Ehwi0uGMKT9BzCbQMiwoyeI8KSoybCDuUpwiqpCsLjIADCzT8GwhinBsIysw/C7gsZwopMGMIqiRvCtC8lwm7EK8Jh+DHC34M5whMoLsK9syvCNLgqwgbRJcKD+iTCv1wpwlOyJ8KYLybCQ+EnwdLgOcFSIDzBVoVYwf4secGzu2rB7d+BwW7WisHGVpDBJLOMwSN5gsGtR9bBu5zRwSY32cHa4dnBivrWwSt25sGaJdzBQxzTwSKc6cFtOQPCmHQKwu3LC8KRMBDCXwkTwvZ8FcLSbhTCgfwUwgKBFMJynhPCRXMWwvWW8UHTifpBTfvuQfLk1kFN+uJBquXTQYrywEE2WbRBBF2mQTnvhUEKb8+/cgTWvZv8M7/MsJU/CpZSQOTQmb/QDuY/WseCQMYcYkDLRSdAQuL1P5K0+D/tQuq+kp1lwHy7x8DC1gPBZhAEwe6nAsHPMxPBKlAawWK8hkGY9FZB4lt+QYPra0HIZVpBGV6YQUtXe0EsDUpB3kU8QVpWL0Ge1SRBbi+WQT4Li0Ht6HtBZk4+QU90GEGA/xNBig8KQboc+kByCNhAcD/YQBvxAEH4nttAltP0QD0140BlceNArhG9QCaexEDFKPpAYowOQbzQGkGCKRlBSts3QjXzKEIyBTJClfUuQlchKUJHpDpCincuQg/hIkKC8BlC89MTQnGcFEJd6B5Cg/wcQuZOGUKYVw1COIQAQtqi8kFg2/NB9mb2QaOG9UGqbPJBkPvrQYtg50HjJ+xBeOfhQRbZ0EEWptFBypHKQcZsv0H+Ta1BxcmaQUYONUIaXCxCaBs7QgMIQkJzL0ZCck5cQtOIUULtTkhCliZJQtOxT0LgfFZCVlyCQjt5hEITSIZCAL+EQhZqhUKu83lCvrSDQlW3h0K2zIVC2jeAQoqrckJgr2ZCNgZ0QrVsckJCbW1CMx91QqtNakKSEmJCAk1UQnYHRUKJS8zBxvXLwdNuuMFCrKbBUn+UwSh5csHj+nTBgtKAwZ5JXcFVDTrBhHgZwYiMqEE/cY5BWWanQTaVoEF6jJFBvO2+QaBookH2O4RB2Cl3QSsJZkE1TFVBNO5CQb3VgEHrNJRByjmqQd6xykEzk8VBiO3AQUqT2EHjPfRBOOcIQnknFMIC7BjCKtoRwgUvEMISlg/CYKz7wWh0BsLvwA7CDesNwsMIDMIuhAjCY6cLwXo8SMFoqj7BMDJvwR8Wj8EVRlnB2mCLwUgQqMF1kMDBTfDawcN09cHmuQXCkLjwwYa16sHmPeTBAQazweouycHgzN3BqmjXwd6v0MFgrLXCBNGzwtvissKYp63C0u6nwuy4psJgqKTCp8uiwp5WncLs2ZbCXiqSwqC7hcJaZYDCy/2BwnXJfMKqK3bC2/V5wgUcc8JbanDCw9puwm1Tb8KDpnDCo9ZzwkBca8KIhWfC9S5lwiLuaMLj5mXCimVkwj5JZcK2EV/Ck+5MwmsnY8Iq72DCoAZjwu5sY8INGmbC3gFvwp5Ia8LIe2rCc5Zvwn0Bc8LrXnfCgOiWwu4mlcI2YpXCrdCSwmbgkcKeIZrC/paXwgq8lMIhf5rC8sOgwuyKpcLdG6nCJluvwjXXssLGd7LCFa+zwoU9s8JSMrLCQ7yvwhsissJO1E3CWwlPwpJYUsIaCFfCVYpbwrVCXMIKXF7CJhJhwo2SZsK1ZnDC45J+wnKajcKVAI3CzaaSwj6vlsL9eJfCFgOhwglXncJ2KpnCKnabwmr4ncLj/aDCJtGiwm7jpcIflarC2NutwsZ/q8KUYKzC6oqswtrZqMIoy6XCAtmlwhJspsEC96jBzuavwQOAu8Hi3cfBI03QwSBe0sHgKdPBS0/awbVb4MF6z/HBhpEzwtCpMcKt3DXCZug3wjowOcJzq0PCsEQ/wj+hOMIKvDfC3AU5wqP3OcISSzzC6XxCwmZOR8IV9EnCUgBTwrLFTsKDP0rCHXpJwrPiS8I451LBOiOFwdvhgcHC/p3BriO0wbq4lcFu4K/BPLbFwbJZ0sH9RdzBRoTlweOg/cGi1gLCBZAEwr2KCsJvtg3CSEEOwuJlDsIkPAzCNTQHwg6WAMJzwvXBOx/swXpl88ED8/rBzT8GwrrlBcKN+gjCXAQQwraMG8L1RSTCxkkpwqZnq0E4B5RB7HOSQVqFeEHaAF1BTuuEQYsrbUG+aD5B5mgQQcDnykDqI4hAdvjBQJPn5EDrGi1BHRB9QQ2LoEF/x7FBcvmzQcXKsUHS765B3g+bQUD2ZEHkFh1BhqorQZOe+EAY0Z9A8v8RQRuTsECESkFAXrmcP/Nzrb4G3CLAwe0FwhFHDMKerAjCiCEKwuO/CMKtZvnBOVQFwifFBsKm8AfCRSwLwmo9DsKmLZrBA26nwUcXm8H/lKHB/MmjwVU8hcELJJHBWLicwfhhlcFfQ4zBdliVwU5dp8GI0o3BUUOBwcsocMF4aRbBx948wRWkZMFie0TBe1cqwZrkLsGCRbfC9f64wuPgtsKJjrjCIa+7wuIassIYG7nChEi9wlytusL2crXCIBKvwhNMesLJMoDCQKJ6wvCPesJQinnC1jZjwt4Jb8IaD3zCbdp7wk0LesJWa3XC5Wlvwk1dZMKTO1HC4gk+wsFMPMKGqTXC690swmsfHsIn8Q7CKRkAwrOFccLrT3TCY7N5wkbSgMLefHzCQnOAwqg9esLwRXHCsOlnwuq6ZcJCxmXCX/mZwq+bk8I4GpTCorWMwhtZhMKziorC0hmCwu1Je8I+r3LC0zBrwr42ZMJr8VzCwPNfwgAcXMLIEFnCK75wwroVZMJI+VXCRW5Twg2pUMImFk7CkHdkwWtUVMFgIzDBIxMFwXlBocAWjvvA0redwOwJGsB3wQHA8/RPwIY/mMDVvMbBwta0wYiLtcEFJKXB4sGRwS+ioME+FIzBOL9rwbeLNsECjBrBvtMQwcvFJMHqPlbBEZaKwT5wo8GzIrfBBm27wabaucGZFMrBWuPfwbpw9cHtbVtBwd2GQSWNa0Govn9Bxu+JQXUtTUEWNnhBhcGPQUCli0GOc4RB06x5QdgBakAPBMRAo7n7QHZarkA65PdAWPcfQfl9OkHWzFVBGqJvQY58akGrNmlBesRpQVFVKkGJlkhB3o5pQeNcdUF4b4NBTXONQVv7+cGVaO/BBirfwXaax8FjHrDBVtOmwTtAncEpKpXBg39xwQI0O8FL/hDBgkB/wUPiZsEC1UnBXWofwQRAK8H55jLB+nUYwY2d/MBQudPA5tmCwO5rQ78q2RZANrQdQN5iZEBBHZxA4bcAQfglLUHYOeXByOLwwaAA5sHYuurBYEfwwbhV9sFlEffBlR70wXZJ+sHaOAHCwjIFwrp92cFG1OHBzlbpwZ302cGyeubB1lHzwQsr/8GlbQTCGqIIwpsqC8IicAzCTRUMwv52+MEzLAPCLsYIwprYBMLDvQDCK1RKwXpEW8HDS1TBpRhqwVVXgcEj5WTBCnp+wdqkjMHakpvBQqewwemgyMGbpGnBiCKQwW77o8GLtMDBa/m9wYMatcFyBsbBYjfOwe2U0sEzXtfBHsHbwZ3/38HgI9TBuAzdwWKw4sEqA+bBIAXlwf6TkkGSa35BcP9bQbXZJ0Fj2NJA+mnJQKIh0UAtImlATY+rP8czi74KEIfA2biCwPizUsCzrs3AIOWTwLY6JcCiUw/AMGsDwIg3+b/7vD3AjdVnwFLjU8CNyYXAxVOHwN5oqMD/XBHBraY2wRrqyUFDesFBiLbLQd2xzkHl2dFBkNruQZjt4kGKR9ZB3ULUQS6pyUHuX7pBXhsCQiUG9kGV/OlBS1riQVBO4EHIO99BA5DYQRLswEGqUKpB12acQTe7j0EjIYZBPu+hQbIwjkEVd3RB8u9XQbdMNEEvWRRBYCdsQg0wcUImRmtCSwZoQjL3YkJqd1lC2gtcQp7OWELFpUlCLdE4QoYTLEKq21lCysJQQi6SRULrgC9C1DU2QvoDPELHYzFCYhsqQoCaJEI8pyJC1aQZQqhHEEIw7hVCQIgOQvPNAUIKBetBI/fWQeO9XUJbR25CFllnQvssZkL6V2tCVk9qQu3ecUJe8XRCwyR9QsXjfUKu9H1CJmpCQsPyT0Luw1hCAGZNQsVjVkLat2FCHclqQsBrdUIIG3xCk2N1Qp2RbEJLB2BC7X9QQj3kUkJdUVhCICFWQoMgXUIQo3vAwJRnwKYoVL8i7w1AbVupQKah/EDpzANBvdIFQVYnNUGum2dBtuCMQbLtkUHu2ZpBmjieQYbbxkFtgbVBPo2fQYIYoUH966JBtwemQWO0vkGQ29dBoPHwQSpsAUITGAJCHXABQvKJCEKRrxRCBo8gQu4ygsFCZ4/Buk1ywXDRX8ED7kzBk9AKwU3RH8GsfzLB2iUawY4VBcFaMurAUSGGQGrxUUCQIMI/Vt+9QB9aKECl+w6/LMYKwKi9hcCmuMzA+AWzwOjpn8AE4IvASQa9P9s8lb+dH3XAOhRqwG0jc8AoQ53CiBmewtDemMLiCpPCCdmMwoQojMI9forCcIKIwliKhcJ4coPCrZCEwquQisK7sYvCnOSMwraOeMKtPoXCyxqOwro0jcKyGovC8GmIwmLjiMKYLIXCHtp9wlXTY8LYimfCPQltwnA6X8INF1nCs3FUwiUXdcIOcoDCvOOAwiQvhcKZcInC5OCEwrZKicLlRY3CbymQwjpZk8JSKJbCS4l7whhBg8LOO4fCtGCHwlNBisLlKYzC8PiRwjrtlsLx3pfCWvaXwoKXmMKFXpnCMxmYwsCWmMJqx5rCms2bwm5LnMIr4V/CRmRiwjanY8Km22nCosJxws3VbsIWW3XCRiB7wghHgMJCd4HCk1CEwpXQYMKDK2nCMKlzwpZrbsJ7sHTC6kJ+wkKPgsLijIXC5taJwrYVj8JlSpTCvn2YwlEfj8Jk7pTCSvmZwr31l8IylpTCgu2QwhhT58FjzOzBlgL0waPPAcKMLg7CuIsOwozyEsLmEBfC0hQewgbJI8KxEyvCwEshwq5pJMKG3ibCCwEywkPALMKLVijC3m0rwuUUL8IerDHCUgo3wn06PMJHUkHCrlhEwozqRcLZE0rCU3JSwnK/WsJomlzB2y50wdj2dcEijYrBLX+ewTYKjMGKfZzBpNe2wQBIw8EIzdDBOM3lwUcDjcGyaaHBEh26wblLvcGdY8HBG8bEwSpN0MEW9uTBzTH3wcbk9cEia/zB8K8Cws0b98Ei5wHCBogHwtDqC8JuWA/C7GoRwiqIn0EloZVB8ySQQW3HfkFGQCxBPRgwQSqQ/kCC/6ZAuACRP9V23b5iRhE++p1BvyJBHcBk44XAdcDuwLPwvcAGgY3AwHpTwL3QW78LDhFAKmWxQD0TI0GqYIZB+3EkQbJHh0Forp9B+oaYQSb+cEHQXSRBvdCvwZauv8F6+rTBBZ2xwdK+qME2wnzBdfKRwZtynME3GJXBhRORweeqjsFa+4nAC4rowLEcH8FuJObAJWocwbekRMF9KGPBptR7wbUzk8H2XZDBOaaCwTpAaMGWAFDBwxBNwVqwUcEuBDrBIMMlwT+mDcGURpjC1fSawkqclcKkEpHCLFGLwirYg8LeuoPC2c2Fwqjjg8KiXYPCsnyCwi7mbMIT8WrChsNmwjNTVcKm9F3CBUtmwsUibMIGdXXCAy56wis4b8JyA2bCyEFdwvUxScI6GVLCvTxRwll7Q8ImlTbC1sQswq6pjMKtTIvCJDyQwqJEk8LqC5bCMk+hwoYFncKSMZnCHDybwhNznMKueJzC9GKwwsZassJaT6/Cpt6ywplQr8IskKvCjdiowp5ao8JGV57CkQegwqZ6oMK8NaDCmpCpwvr9osL+FZ/CYBeewhpGnMLOuZrC3piHwSDve8FAMpDBovebwTIoqMHyHMfBPnG7wW4ktMHdq7zBVqXDwbJYysGYKv/BRbP5wfCk8sEITwXCIA76webZ6cEgiOLBIxHbwZad0cGO6NXByvbUwZIn1cEqYPHBnRPhwapj08HSft/B7SX3wc3VCsL08LxB0LzRQW5JzkEQm95BDQ/vQbqP20FYoutB/GcAQpM4DULVDhdCKvAgQlME0UEzguhB50sAQjqmCUJq8wpCw3EMQvO1F0KoWiJCB5YsQvDhN0IjxkRCIMVTQjJ1SkKm31VCpmdfQnriZELC02NCUjldQibMnEGJoLFBgTHFQSLQuEH+N8lBIwzfQah9+0EW/gdCpAoTQq2wukG73NZBBuD1QbCm/EGdugVCRZ0IQjJiD0KQZRZCqiciQlY5K0KHJDFCIDc9Qt0CNEJn8z1CuqJKQh31TEKWnVBCnvJVQkrWU0KmQllC5phdQoDDQEIQ5UtCAydUQiq9RkJz5TtCZC8wQjq+CkJeHxJCHdoYQqJiD0JmTBZCdWgfQuj1JEIJyyVCTgAnQtSgH0Im2hxCSB0cQmrHCkJ3BxFCUt0aQmjUG0KeRR5CxhUgQnKdScK6UkrC+qtAwo3wNMLSIi3CpnIzwm4BL8IkAivCUPgowiYcJcKOdx/CQpIjwsI9I8IatCLCgfgUwnxRGsJ3USHCrQsfwjM+HMLtSBjCpZkPwkYUBsIe9fjB2DjywUow7MEdOuTBCAvPwQmaucE4yaLBfUnpwZoA5cEAs+DB8G23wapeyME7PNvBTeHUwSJGzsFOEcfBbFUbwQYaQsF65HHBuHYvwUb+aMFItpTB1aunwcnvs8GeNcDBybi5waIls8G5dqzBxqmBwWohlsEio6TBgHKbwUMHksHC5YfBxQpjweanPMFFqRLBatkBwfKq7sDV5NbAwAl3wINFBr/rrgNAxlz/PjKORj9rGtQ/Dmj1QHcSnkDdPRlAauxSQBTWgUCVz6BAupr8QGQ1K0FtsFNBRYFsQe5/dkGIBoJBPumVQXJlqEG1jUHCGn5EwsjzQ8JVAUbCa9NIws1QOsJS3EPC72tMwgJyUcII8lbCPmtawsOYKMJ+US3CJzQxwhPYK8Lg3DHCzpU4whYrRMJW/FDCGoBdwnAkX8LTAmHCFZdgwvvwSsK7oVXCZgVhwr5hYsIQSWTCq21nwqCBAsJzLwvCTdYPwqCLBMJ2uQ7CGn8UwsXAG8K+YyTCAbcswlpV9MEJmgHCLisOwkkWHMJBpRrC1LUbwhqUJ8K4eS7CQR00whlhO8LYtkLCVvxIws7gScKObkvCBX5OwoalVcKmS1/C6r5pwnijasI7IWzCyltswm5IXcITRmTC5alqwjXwaMKjH2fCOnlkwkDkQsI+10vCGgBSwrJuP8LqfEvCTUVWwr2DWcIeaVvCKqJfwmumW8JVrFfC4hZVwsZpQsJ2YkrCdctRwiYXTsJMP0vCQpDOwPPyGcHCqPbAgCgWwaITNcG7SwXBXosewdq3VsG9fHbBqZiHwYW2kcGAoE7BoH1OwcopOcFgDF/BWvw/weKcMsFbwljBIQ2JwdE7m8GOOaTB1xOuwXgWtsEE4KLBJAWywS7Ou8FGksTBDnXMwarE0sFVpHHBLPODwashjcFOT5PBEk2RwfwDlcGuuJLBynWHwXJ8dsH95cjB1qm9wRUIrcHW5qzBhqWhwcHJmMG2x4XB8Ctvwe1KYcGuu3XB/JaXwUixtcGsK8XBIL7FwYfJxsHWI8/B8OvTwTAa3cGtt+XB6vvsweP99sFzGvjBS8/5wRPQ/8E6gwXCbEMMwuVLEsKYGwvChiwMwuWwDMKmshPCju8QwossDcKFsA/CSr4TwpRwGcIeoh/Cmuckwvp/KcK2TinCYXArwkipLcIl3DLC7hw6wsvdHUKjwhVCK6kNQoZpCUKW7wVC1voDQrOb8EGN59VBsFG8QWY340HG6N1BGJrbQYJgx0GKbs5BngHXQbLUxEGDZq9Bj7mqQUBwoUF2N5VB6pyGQfulfEEuznNBeH9rQU58SEHU1x1BsjT3QEC5mkGXzKFBmpCjQd75WkEXKINBQHSeQf6FjUGgm3VBI6JbQcCFekBtx9JA1uv0QORDrkBbEuBAokcMQTrLGkHRUytBFY5FQUPnMkG+wyRBzMwNQSD1pEAcfsZAqMrxQPjB1UATpcdAmX3FQD/bvEDD2M5AEzDwQH2uw0BaLwJBZegTQbI7K0HDtSVBbQ7wQOrtH0AwGUdACEB3QCazV8Br9rA+VXKFQMAVhkBqwmtAW5YmQHbf2r+y7IbAKpDNwDpy4MCiq/fAneAEwfZ69MDSv7PAji+/wJyCG8HFs1fBEBoZwRbUHcG9zSLBU64ZwGaT+MAEdCrBY7Iswb26LsHNCi/Bp5AcQbq4vECyzxJAjJOLQN7W6T+rxBK/YPx7wDPM98DIxi3BuK8sweJFLsEyIjPBTUSTwLTOAMEWYDjBnaU+wSo3RMEfa0jBVYKyQQx8n0Fm5pJBjVmeQRpckUGaWoZBgHB+QTKkYUG4/i1BktlsQRMWTkGniEBBnA4ZQS7FK0E60U1BtTpQQfL2MkE4lt1AqnNQQP44Wj+Niru/U44oPm9aDsAxaY3AbXb/wPpJOsFPY0rByGVMwZquTcHqGVTBkpYewZedQ8HjNl/BKCpmwdjcYsEoKV3BI+xXQEP7LD6ulDXAFUZ5P3gAE8CWqbvAPmAQwSkgOsH61lTByjVMwdccQcF2Ty/B05HQwI1x7sCerhnB32YAwdJi18BKvtlBW4vBQUB90kFNyMJBXvi4QRNC6EFrmMxBBYuwQZiIrkFvnLJBAJe4Qbz0GkJYFg9CJmD/QZ5CBUIGR/1B4B/rQe7w2kHTVcxBFQXCQTZYxEHcJrlBpuuuQQr74UHRCL9B/m6gQf+SokEGQalBswusQV27aUI92VhC/S9IQmsLUkKub0ZCqb04QgDIJ0Iq5htCOtgSQgHbI0KgnSlCJSsnQu5lC0IDzxZCIAIeQgOXE0Lexw1CzbsKQmj7AUIAI+dBCtHCQfJ5tkGiga9B4tatQbwAr0GV97JBPtWrQdqMqkGaBqhBFaioQe5NwkHCAbZBWfqiQTVylEFNLXlBsCk6QfoI30HSwNBBSZ6+QQ0ir0Gmo6pBQ4OkQcabgkHmmkZBN9EEQeB0rkBljChAHu/ZvrzumUBGE6c/CtRdwL2vtMDYuvDAZrXfQQWB7kGLyf1BgzAGQuMCBUIfbQZC+nMOQm2sFEJ7nBtCW8UjQn7OI0LmYCJCMVIvQtVXJ0Iw7h5CRLocQn/nHEKKWSNCiX0qQsmKMELc1jJCPKMtQgy0LUK8ITBCI9kqQho9JUIWtR9Ccm18QsabgEKAPH9CvrWGQop8hUIVQHlCDS9vQv2DZUKNXlxCwVqFQhPdh0JWa4VCN9SEQqA0gEJKQHtCuo5qQkDiXEKVuFNCQ8RIQnrgPkLn4DdCs+REQr5+OEI4sTBC6hMpQrriIELgfBlCPrEVQsPWE0K+7hNC4MAtQhqdJEJR8RZCwtgWQmttFUJwSxVCKjlbQvL7TUKtgUFC20hJQo6/QEIymTdCy1AtQv7jIUI/4BRCxi4RQsIaDEI/GgdCxY4aQqJmD0K2wQJCGkT5QRIM6kGF99JBPfchwkbNHcIbhxrCS1QVwrTtEcLiagvCjvEMwhoPDsJMZgzCTfYLwlkmCsJg9M3Bq47UwSbY4MEqzsHBPpnXwWNI8cFdef7BSAQDwuttBMKOOfnBeGHnwR0E18HKSMvBY4XOwb7SzcFWFcbBOMu8wVqytcH60XrAXx+LwNTinsBMPJM/lEIMwK8upcCXnqDAajOtwNX/4cBumlhB2ywOQT4mlkBLssJAXatgQHhSjD8OoOS/sNqpwGC/IcGqZFPBAuKAwd0cl8EuNjvBcqyEwRSwqsEOkLLBlfGwwUFurcFZ0JvBwI1/weJjSMFFzwHBKpD6wBNF9cB9yojAnksDwIDpLb+DWS9BxhMVQa0x8kA9n4JBdaU/QadpwEASBJpAYl1mQEx6IkCW/8pAxuEhQQbnWEECD45BRmmJQWb1jkHOga1BMZbDQQb2SsKU40rC7AtLwrjmQcKAaUbCmZNLwsLzSsL3OknCWEJHwic5H8IoXifCInkywmL3JsI7IC/Cle82wi08O8JQtkDCDRBGwl5bRsLC5EjC9jpMwloaO8JFEUjCijlPwhiZUcKF0VLCk4pSwuhQocHYIrTBml7DwRKznsHmVbnBZk/Uwbuc58FSNvjBbDIDwq2bfsEacJrBelu1wcNlx8GNgMnBRjLOwcqg5MGb9PzBw8gLwmtOFMLmfB7CdSspwqiBG8JaTCbCVX81wpLdQMKsGUrCS/JOwrYATML4nknChnBHwh58NsLcZTzC+9pEwrk/QsLgn0DCrcA+wtFvEMJE+xrC5kMlwiHyFMKDbyLCmlkvwtR5N8KrczrCQEQ9wkP+OsIK5jfCjc80wtakJcKdDizCJuYwwoGELMIqNifCljQuwqWVzMLYPc7CVa/OwnLWz8Iwds/Cb/HHwvrGy8KAE83CjuvIwv0dxMIJ0r/ChueywkKQtcLnF7jC+u+swlWes8I+TrvCI4u9whPYvcLelrrCulq2woZ6ssLK6q3C4w+mwmCJqMLsRanCr4WlwsGYocIgFZ7CowSdwqvQnMLG8pzCT3aVwmO/msJeyZrCTG6XwihwksIUOo/CYJd+wkamhMKMYozCHhuGwoqpi8I1q4/Cq8CMwu50i8JOeYvCXtKJwm6tisKFno7CFdqBwkjIisLvQZTC2jaYwszUmsKvc5rCv7aWwu3JkMIK+I3CyouLwrVTjMK4F4vC6CmIwrjmg8J+kX3CBq13whW7ecKo13rCoO9uwg44c8KgLnzCs+R6wkCXd8J4fHLCSwFpwkoIX8K9YVXCk1NXwl7dU8KOpE/C7itIwv3nPMISNEjCygVNwlLLUsKNw1PCQ+NVwpPrWcJLcV/Cxi1mwrPib8II5V/COqdhwvr7Y8J+ZGfCbYpowrNRZ8IoEWrCbpNywrMTfcJppoLCIoyEwjddhsLSx4LCZryEwvJ/h8J0eonC7iWLws6+jMJNmYPCo/SBwiMwf8KfroXCCxKCwlY5fcLTcHvCSKx7wsNEgMKriZHCVsCMwr5xiMIA8obCqoWEwnpNhMJJkoHCDBKAwiPcfcKQvXnC2/d4wvbyesI6VH3CbYd9wqu5f8KpgYPCsreIwrD/jsIaJJHC9YGTwl9VlsJqL5TCZTmXwnJmmsIPGZ7ClzGjwn8rqMJO8avCSlerwsaGqcK7jq/CCq2sws4TqcI21KnCjoGrwgR/rcKkyLPC3k68wr3awMIuI8LChZjDwgXBw8IQmsfCerbKwvZiycLeuy/CEUExwky7NcIxvjzCRCBEwvbbRsKRikjC6xJMwoqBV8LlrGTC1lFswiNbUsJmgFTCi5xYwlU/YcLramHCqLJhwuAHa8IGJG3CKxhswhLwbMI2pm7CmsJxwlPgbMKtMnDCtQN3wjanfMK7oIHCRHqFwoWFZcIbcmjCjkZswiNEe8JucnbCpUZxws6HecKyfIHCSG6AwqXti8LSoYrCIViKwnIHjsICMozC+j2JwmOShcI4O4HCLap7wuaHecLd6HrCLRJ+wuJohsL7vYPCEJ2AwqUdg8ISE4fC0huKwifHjcIupJPCXpObwljqmsLYN57CxtyhwrWTo8LSNaPCO0OkwkChosIm6qDCQ12fwkJBqcKAp6PCM4mfwg5TocLob6PCCcqmwtbHqsJAi6/CKFG1wqmotsINHLjCBCS7wvq7wMLOKMbCcDxSwe2Yd8FStIzBSuSMwTrck8ErRp/BRmGswSoXu8HjV83B52WuwVYlscHNH7bBBDe5wW9QuMH2drfBWYa8wSitzMFbGd/BqN7rwYZ598Hmov/Brvn0wYIs/sF5SAXCGtQKwhvGDsLZRBDCwLjzwbC7+sEDaf/BgKQPwvn6BsJw8ADCn9MCwranBMIC4gXCmjAwwhLfLcLYxirCoGYywugILcJSeCTC+wQcwr0ZE8JqnQnCKE4Mwp+oDsKfIQ7C1L4jwjOYGMJPcw3CdcoMwh+BDcKByg7CSnUOwk3zEsIW6xnC0LAowuDxJMIrmyHCkpAowvLqLMJKBS3C3KA8wtgFO8LFWDvCzfE8wpF5PMI+vznC3BQ2wtNvMMLJ+yrCc70qwm4WK8IuBCvCslE0wppgMMLy7SrCdYIrwkyYLcK15ijCojaCwbbwgsFiv5nBv26qwTrzmcHWsazBjl20weDnt8ENF7TBg4CnweifpsFw6bXBkYu/wZpmyMGs/8XB74rDwQdwv8FwP6/BtWySwdDmfcFePXbB8kx7wXpkocHckJPBezN9wUDWe8FlsH3Bdgl/wbNDicH2tZ/BKtm8wbDq0MGDUtTB7ofWwQVR5sHKQO/B6m7xwZAcBcKGwwbCXZ4HwncoCsJ2KgnCa54GwgMKA8KLDvrBpsDrwZZ94cEj+tLB2pTCwRbI0ME967/BY6CvwTABocGWQI/BuM6Hwb6olMGqKKLBWoK0wegawMFIpcPBPpLKwTjZ3MHd+u7BbzEBwo1Q68EqffbBzggBwriwEMJh2grC8JIEwn4cBcL9eAfCRkUKwv5LD8IbGRLCy9YVwhLPGcLhlxrCGIEbwk9mIMKVZyTC9tmqQaGBk0F+enRBMLFkQSagX0FzQzVByLXbQHCtXECdBHA/XtFqQULYLUGLnQhBkw7mQFOt3UC1ntlAXz+FQKZ4vz+r3Y6/yqVEwPOf0MCtouvA3Sk7wE2KxsCL6OfAVerlwIgJ6sAy9t7AlkaOQXzChUHKRmRBMecCQT7RHkF2UyxBgqrvQI2bn0AWRWBABd/+QMUHCkHy5AlByPY4QeJ5EkGNM/ZAp0vMQIJmk0Dnqh9Ag/7qP7vvRz9Gcjq/PF6xQD0mE0BRvTTANSaPwHtHpcDBM7fA5WqOwAu8dMDFZobAyoMTP90NBMBtHYzALqqtwDTQBcEXLBDBilDoQN34o0C2Fto/jtVYPyPhXL9bfi/AUnanwIDStcAlye3AgLHrwArI/cDHmRXBikkewR44J8HERjfBWlJdwQr7gsFBF4rByW6cwXbqG8JCZhnCsHIXwproGMLYCBjC6YsVwtrXE8IDrRHC1XgPwsoFDcIcABXCTLkcws0zHMKKbx/CPXciwquvGsLWgRDCi9YNwprlDcIb/g/C1WUVwlabAMIGUgfCufYbwoJ9IMLA9iHCrwwiwhhOxcFo6cjBrdvbwRCXxcGmVdjBbYfqwaqm88EmmATCuuQNws1YtsFnu8fB6m3dwVpO08EgpubBZv/wwdPpAcLIlwnC2qwOwnBUB8KjmPvBYy3owTLA0sGSqt7BSmzxwb6tDMJD9hXCrcgewuGPGsIbExXCEvkOwtaq+cF1awHCiPsHwivTAMI2bvLBLnvkwTNpusGaGMnBitzJwey/qcGh17jBEO+9wU+iwcGFNc7BwJXdwSOr3MEiAtfBXknHwb+Pl8GqkqPB4fi2wWq4psFWm5nBUP21wQ5Cz8ICPM3C9uDMwh4Dz8JVGM/CiiTOwkihzMJiwsjC42nDwpmFu8Jsvr7Cm2TCwuS9w8ITmsPCHxTEwjeUw8KVn8HCyoq9wqb5uMI2FbTCtqKvwugYscJvma7CGi2rwt6/pMJZsp/Ch3mawrohn8Jm2J/CtUagwvZDlsKLdpvCu8qiwvtAqML1LKvCjhOowsXfhsLig4/CUtSTwr1YkMLeWJTCjl2awvYTnsL6jaDC5LinwiaEpsKdyKPC8f6hwjG1msI9g53C43ifwnASncJTg5nCM6KUwsoQj8LuO4jCNjiAwgp1g8It5HnC1ZFxwuBQYsIjc1TCtd5GwpIwacIALGLCBghYwm9gO8KDFUbCXjhNwrbBRsJueEDCPD46wn/XLcLegiDCU/sTwrDTEcJHkgzCkk4HwpZo88EA8dTBk+vSwS9lMMKVAC7CJxQqwootPsL+ejPCFXUowhJiKcKjZijCbc0lwtUacMIje2TCsr5VwgvgXMI4J1LCUshEwjp3NMIAcinC60ohwlLLG8J6dBbCjqATwv6iLcIVch/C/m8Swo7zEsIDpBfCzooYwughiMI01YPCkL9+wjLihsKdAH/C8P50wjtMbsKCT2zCRsZmwhbHjMLPXIXCe9eAwmgbecIQG3/C9yOAwr2wesIot2vCfdNawlXFUMKXnkTCeMI5wsbpUcKD9T/CKzIzwv7uLML9pCHCMtQTwhheE8Lo2hXCC9kWwh65McJusSTCXLgUwsbeD8IbhgvC7TsJwhP1TsIGYELCYE43wlYAOMLQxjHCB5Yuwr1SJMIIxBjC8FQKwjoKCcICegLCNvn1weuoC8LRVgHCXRLpwais3MEdV9PBVay8wSjoisF3k4zBvnuJwSYEmcH8oIzBFtx9weN4WcGo9iLBADu5wH7vRcGgdy/BwL4RwW0DX78+UHHAQLHjwI6AocDBjS3AGMlivl5H0EBqn0BBtchdQdegJEG1bzhBwMdTQfJxMEECgAhBAunsQCP4asEG6ljBn7pBwQsZhMHNeFrBIUkrwUB+H8HyfQrBFt3TwK3QosEttZDBg95+wfpJaMFtK2PBvl5cwS3ZNcHeXATBBgWswOEaicBm8EjA2bSsv0gKbcDQKLK/5s1xPyANTUACHbZA9jwAQbZlKEFsWx1BYq3MQIKFGUBhxAhABzsBQJYkYr8++UzAncykwDrBPsEGuDrB/YAzwdrOgMFa6lfBKakowQYbFMECRgLBMlTJwAGDCMEzHT3ByoZ4wZJIk8EBnpXBBvGTwUY6pcHo/a7B&quot;, 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&quot;, 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&quot;}};\n",
       "        var data = [];\n",
       "\n",
       "        function getOpacity(){\n",
       "            let opacity = $(&quot;#opacity-range&quot;).val();\n",
       "            return opacity == 100 ? 1 : opacity / 300;\n",
       "        }\n",
       "\n",
       "        function makePlot(surface, hemisphere, divId) {\n",
       "\n",
       "            decodeHemisphere(connectomeInfo, surface, hemisphere);\n",
       "            info = connectomeInfo[surface + &quot;_&quot; + hemisphere];\n",
       "            info[&quot;type&quot;] = &quot;mesh3d&quot;;\n",
       "            info[&quot;color&quot;] = &quot;#aaaaaa&quot;;\n",
       "            info[&quot;opacity&quot;] = getOpacity();\n",
       "            info[&#x27;lighting&#x27;] = getLighting();\n",
       "            data.push(info);\n",
       "\n",
       "            let layout = getLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false);\n",
       "\n",
       "            layout[&#x27;title&#x27;] = {\n",
       "                text: connectomeInfo[&#x27;connectome&#x27;][&#x27;title&#x27;],\n",
       "                font: {size: connectomeInfo[&#x27;connectome&#x27;][&quot;title_fontsize&quot;],\n",
       "                       color: textColor(connectomeInfo[&quot;black_bg&quot;])},\n",
       "                yref: &#x27;paper&#x27;,\n",
       "                y: .9};\n",
       "\n",
       "            let config = getConfig();\n",
       "\n",
       "            Plotly.plot(divId, data, layout, config);\n",
       "        }\n",
       "\n",
       "        function addPlot() {\n",
       "\n",
       "            for (let hemisphere of [&quot;left&quot;, &quot;right&quot;]) {\n",
       "                makePlot(&quot;pial&quot;, hemisphere, &quot;connectome-plot&quot;);\n",
       "            }\n",
       "            if(connectomeInfo[&quot;connectome&quot;][&quot;markers_only&quot;]){\n",
       "                return;\n",
       "            }\n",
       "            if(connectomeInfo[&quot;connectome&quot;][&quot;colorbar&quot;]){\n",
       "                addColorbar(\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;colorscale&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cmin&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cmax&quot;],\n",
       "                    &quot;connectome-plot&quot;, getLayout(&quot;connectome-plot&quot;,\n",
       "                                                 &quot;select-view&quot;, false),\n",
       "                    getConfig(),\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cbar_fontsize&quot;],\n",
       "                    connectomeInfo[&quot;connectome&quot;][&quot;cbar_height&quot;],\n",
       "                    textColor(connectomeInfo[&quot;black_bg&quot;]));\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function updateOpacity() {\n",
       "            let opacity = getOpacity();\n",
       "            data[0][&quot;opacity&quot;] = opacity;\n",
       "            data[1][&quot;opacity&quot;] = opacity;\n",
       "            Plotly.react(&quot;connectome-plot&quot;, data,\n",
       "                         getLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false),\n",
       "                         getConfig());\n",
       "        }\n",
       "\n",
       "        function surfaceRelayout(){\n",
       "            return updateLayout(&quot;connectome-plot&quot;, &quot;select-view&quot;, false);\n",
       "        }\n",
       "\n",
       "        function addConnectome() {\n",
       "            let info = connectomeInfo[&quot;connectome&quot;];\n",
       "            if (info[&quot;markers_only&quot;]){\n",
       "                addMarkers();\n",
       "                return;\n",
       "            }\n",
       "\n",
       "            for (let attribute of [&quot;con_x&quot;, &quot;con_y&quot;, &quot;con_z&quot;, &quot;con_w&quot;]) {\n",
       "                if (!(attribute in info)) {\n",
       "                    info[attribute] = Array.from(decodeBase64(\n",
       "                        info[&quot;_&quot; + attribute], &quot;float32&quot;));\n",
       "                    for (let i = 2; i &lt; info[attribute].length; i += 3) {\n",
       "                        info[attribute][i] = null;\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            Plotly.plot(&#x27;connectome-plot&#x27;, [{\n",
       "                type: &#x27;scatter3d&#x27;,\n",
       "                mode: &#x27;lines+markers&#x27;,\n",
       "                x: info[&quot;con_x&quot;],\n",
       "                y: info[&quot;con_y&quot;],\n",
       "                z: info[&quot;con_z&quot;],\n",
       "                opacity: 1,\n",
       "                line: {\n",
       "                    width: info[&quot;line_width&quot;],\n",
       "                    color: info[&quot;con_w&quot;],\n",
       "                    colorscale: info[&quot;colorscale&quot;],\n",
       "                    cmin: info[&quot;cmin&quot;],\n",
       "                    cmax: info[&quot;cmax&quot;]\n",
       "                },\n",
       "                marker: {\n",
       "                    size: info[&quot;marker_size&quot;],\n",
       "                    color: info[&quot;con_w&quot;],\n",
       "                    colorscale: [\n",
       "                        [0, &#x27;#000000&#x27;],\n",
       "                        [1, &quot;#000000&quot;]\n",
       "                    ],\n",
       "                }\n",
       "            }]);\n",
       "\n",
       "        }\n",
       "\n",
       "        function addMarkers(){\n",
       "            let info = connectomeInfo[&quot;connectome&quot;];\n",
       "\n",
       "            for (let attribute of [&quot;con_x&quot;, &quot;con_y&quot;, &quot;con_z&quot;]) {\n",
       "                if (!(attribute in info)) {\n",
       "                    info[attribute] = Array.from(decodeBase64(\n",
       "                        info[&quot;_&quot; + attribute], &quot;float32&quot;));\n",
       "                }\n",
       "            }\n",
       "\n",
       "            Plotly.plot(&#x27;connectome-plot&#x27;, [{\n",
       "                type: &#x27;scatter3d&#x27;,\n",
       "                mode: &#x27;markers&#x27;,\n",
       "                x: info[&quot;con_x&quot;],\n",
       "                y: info[&quot;con_y&quot;],\n",
       "                z: info[&quot;con_z&quot;],\n",
       "                opacity: 1,\n",
       "                marker: {\n",
       "                    size: info[&quot;marker_size&quot;],\n",
       "                    color: info[&quot;marker_color&quot;],\n",
       "                }\n",
       "            }]);\n",
       "\n",
       "     }\n",
       "    &lt;/script&gt;\n",
       "    &lt;script&gt;\n",
       "        $(document).ready(\n",
       "            function() {\n",
       "                addPlot();\n",
       "                addConnectome();\n",
       "                $(&quot;#select-view&quot;).change(surfaceRelayout);\n",
       "                $(&quot;#connectome-plot&quot;).mouseup(function() {\n",
       "                    $(&quot;#select-view&quot;).val(&quot;custom&quot;);\n",
       "                });\n",
       "                $(window).resize(surfaceRelayout);\n",
       "                $(&quot;#opacity-range&quot;).change(updateOpacity);\n",
       "\n",
       "            });\n",
       "    &lt;/script&gt;\n",
       "&lt;/head&gt;\n",
       "\n",
       "&lt;body&gt;\n",
       "\n",
       "    &lt;div id=&quot;connectome-plot&quot;&gt;&lt;/div&gt;\n",
       "    &lt;select id=&quot;select-view&quot;&gt;\n",
       "        &lt;option value=&quot;left&quot;&gt;view: Left&lt;/option&gt;\n",
       "        &lt;option value=&quot;right&quot;&gt;view: Right&lt;/option&gt;\n",
       "        &lt;option value=&quot;front&quot;&gt;view: Front&lt;/option&gt;\n",
       "        &lt;option value=&quot;back&quot;&gt;view: Back&lt;/option&gt;\n",
       "        &lt;option value=&quot;top&quot;&gt;view: Top&lt;/option&gt;\n",
       "        &lt;option value=&quot;bottom&quot;&gt;view: Bottom&lt;/option&gt;\n",
       "        &lt;option value=&quot;custom&quot;&gt;view: -&lt;/option&gt;\n",
       "    &lt;/select&gt;\n",
       "    &lt;input id=&quot;opacity-range&quot; type=&quot;range&quot; min=&quot;0&quot; max=&quot;100&quot; value=&quot;30&quot;/&gt;\n",
       "\n",
       "&lt;/body&gt;\n",
       "\n",
       "&lt;/html&gt;\n",
       "\" width=\"600\" height=\"400\" frameBorder=\"0\"></iframe>"
      ],
      "text/plain": [
       "<nilearn.plotting.html_connectome.ConnectomeView at 0x7ff2c1a491c0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "view = plotting.view_connectome(partial_correlation_matrix, dmn_coords)\n",
    "\n",
    "# In a Jupyter notebook, if ``view`` is the output of a cell, it will\n",
    "# be displayed below the cell\n",
    "view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment this to open the plot in a web browser:\n",
    "# view.open_in_browser()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We have represented the functional connectivity of DMN as a weighted undirected graph:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(\"./assets/BMED360_Lab6_DNM_connect.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A final example with an OpenNeuro dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature extraction using ICA from resting state networks \n",
    "\n",
    "(Using preprocessed data with `fmriprep` from HC subject `sub-10228` in the OpenNeuro collection [ds000030](https://openneuro.org/datasets/ds000030/versions/1.0.0))\n",
    "\n",
    "Adopted from **Gili Karni**, Princeton University:<br> https://github.com/karnigili/Computational-Neuroscience/blob/master/rs_fmri_networks_ICA.ipynb  (MIT License)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TR: 2.0\n",
      "# of slices: 49\n",
      "data.shape: (65, 77, 49, 152)\n"
     ]
    }
   ],
   "source": [
    "# OLD: path='%s/sub-10228_task-rest_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz' % (openneuro_dir)\n",
    "path='%s/fmriprep/sub-10228/func/sub-10228_task-rest_bold_space-MNI152NLin2009cAsym_preproc.nii.gz' % (openneuro_dir)\n",
    "\n",
    "img = load_image(path)\n",
    "data = img.get_fdata()\n",
    "TR = get_TR(img)\n",
    "slices = get_slices(img)\n",
    "    \n",
    "print('TR: {}'.format(TR))\n",
    "print('# of slices: {}'.format(slices))\n",
    "print('data.shape:', data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plotting.plot_carpet(img,title=f'Resting state fMRI OpenNeuro sub-10228')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volno = 0\n",
    "plotting.plot_epi(image.index_img(img, 0), \\\n",
    "                  cmap='gray',title=f'Resting state fMRI OpenNeuro sub-10228, vol={volno}')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature extraction using ICA from resting state networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nilearn import input_data\n",
    "from nilearn import datasets\n",
    "from nilearn import plotting\n",
    "from nilearn.plotting import plot_prob_atlas, plot_roi, plot_matrix\n",
    "\n",
    "from nilearn.decomposition import CanICA \n",
    "from nilearn import image\n",
    "from nilearn.regions import RegionExtractor\n",
    "\n",
    "\n",
    "from nilearn.input_data import NiftiLabelsMasker\n",
    "from nilearn.connectome import ConnectivityMeasure\n",
    "\n",
    "correlation_measure = ConnectivityMeasure(kind='correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "## create masker based on the atlas \n",
    "## and create a time series of the uploaded image using the masker\n",
    "def create_mask(atlas_img, fmri_img):\n",
    "  # generates a mask given img and atlas\n",
    "  masker=NiftiLabelsMasker(labels_img=atlas_img, standardize=True)\n",
    "  time_series=masker.fit_transform(fmri_img)\n",
    "  \n",
    "  return time_series\n",
    "\n",
    "# using the correlation measures defined above, \n",
    "# we calculate the correaltion matrixes\n",
    "def calc_correlation_matrix(time_series):\n",
    "  # given a time series, return a correlation matrix\n",
    "  # we regress out the confounds (as found in the \n",
    "  # preprocessing stage)\n",
    "  return correlation_measure.fit_transform([time_series])[0]\n",
    "\n",
    "#and we plot,\n",
    "def plot_cor_matrix(correlation_matrix, title, labels=None):\n",
    "  ## plot the correlation matrix\n",
    "  \n",
    "    \n",
    "  np.fill_diagonal(correlation_matrix, 0)\n",
    "  if labels:\n",
    "    plot_matrix(correlation_matrix, figure=(10, 8), \n",
    "              labels=labels,\n",
    "                       vmax=0.8, vmin=-0.8, reorder=True)\n",
    "  else:\n",
    "    plot_matrix(correlation_matrix, figure=(10, 8), \n",
    "              labels=range(correlation_matrix.shape[1]),\n",
    "                       vmax=0.8, vmin=-0.8, reorder=True)\n",
    "  plt.title(title)\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing for atlas-based analysis\n",
    "\n",
    "We include two types of atlases. The first is the Harvard-Oxford probabilistic atlas (Makris et al., 2006; Frazier et al., 2005; Desikan et al., 2006; Goldstein et al., 2007) and the second is Smith's ICA functional map (Smith et al., 2009).\n",
    "\n",
    "The Harvard-Oxford atals is based on MNI defined regions and the Smith's atlas reflecs regions resulting from an independent analyses of resting and activation brain dynamics.\n",
    "\n",
    "Smith's includes 10 resting-state networks (rsns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "## import an existing map\n",
    "\n",
    "# Harvard-Oxford\n",
    "'''\n",
    "retrived from https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases\n",
    "'''\n",
    "harvard_dataset = datasets.fetch_atlas_harvard_oxford('cort-maxprob-thr25-2mm')\n",
    "harvard_maps = harvard_dataset.maps\n",
    "harvard_labels = harvard_dataset.labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "## load the smith (ICA based) mask\n",
    "## 'rsn10': 10 ICA maps from the above that matched across task and rest\n",
    "# http://brainmap.org/pubs/SmithPNAS09.pdf\n",
    "\n",
    "smith_atlas = datasets.fetch_atlas_smith_2009()\n",
    "smith_atlas_rs_networks = smith_atlas.rsn10\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ncf3112PNmjXl2uDvuOMOfPXVVxg3bhyefPJJNG3aFPfeey/eeustyx6dDfvssw8eeOABjBo1Cr/88gtq1aqF6667Dl9//fV2nyDGY9tCy5YtMWTIkFgfn43B448/DgAYPjwgRWScUW9q2wYsbcHpdEZvV+2QhMj4afkuSxuz3E64NFmSSUuvbnm8tF3L80mbe5s2ykk3/A359tu/x/bFhZYtW2LBggXIy8tDtWrVcPzxx+Pxxx//U3NqedjiTPof//gHRo4ciTvuuAMjR45ESUkJrrzyyo1q46OPPsLvv/+Oxo0b4+WXX7Z+mzp1Krp164Z27drh9ddfR9euXXHmmWdixYoVObU9cOBA3HXXXejZsydeffVVVKtWDddee23OfZsyZQoOOuggzJ07F0888QQmTpyInj17YtCgQTj66KNNmFitWrUwePBgDB48GG+//TYAZe/t0aMHLrzwQvztb38r9zynnnoqJk2ahIEDB2LMmDFIJBLo0KGD5XjnwrXXXouhQ4filltuwciRIzF37lzj6b0p+Oijj3DkkUeiXr16eP755zFhwgRce+21mD17trEnz507FyeddBLq16+PsWPHonfv3ujevTvy8vKssDiJ6dOn44QTTjDHcdycccYZG9XH+fPnY8GCBbjxxhvx5ptvYtCgQZgxY0ZObN7Dw8OjPEyYMAGrV6/G119/ja+++soywW5u+HrSHlsNhx12mMlFPmXKlIruTgTeTu1REfizTJrskKalMIvlmC4tVeZAemMHjFgpU/PzbcZJ8yGPHzWqE4Agg9ipp4629pMZwEpKVHz0N98oMrDnnr0BBLZi6d1NGze9wMeN6wwAOO20MVY/gusptc5LUANQVpay+uOyYYf7+tVXuZEz+byuvfZaTJs2LRKdtLlQadOCemz7uOeee/DVV19h/vz52G233XDzzTfjm2++wXvvvVfRXfPw8PD40/jjjz/w5ptvokOHDlvsHP4j7bHFUFRUhPvvvx8NGjTAqlWrMHHiRPTr188zVg+PzYADD3wQQJD/muw4/H4FXtdqGdWOkqFC76eYNBnv6NGnAoiydMlsJYLz2F7aZLCSSXP7iBHHW+2QUZO5S69zMmd5WdImLc8XBq9p//1VpslcGHWnTp2QSCSwevVqdOjQAbfddlvWYzYVvp60xxZD37590bx5cxQVFaFu3bro2rWrCQnz8PDw2FYxbtw4rFq1ClOmTMH333+PxYsXb7FzeSbt4eHhsQ2BjI/exPn5tsd1mNxK72syWsksJcGcMKErgKi3NW28I0cqB8zCpSpXf5o2ab2kzbhFO/u8Lub9wAOqWNC6deusa+P5//lPlQb65JNfcrRnXwe91/Py4jObhSHZ9b773gMA+Oab62P7GsZRRx2FCy+8EP3798e4ceOy7r8p8B9pDw8PjwpGaWmplU8hPz/fOFN5VG706dMHLVu2xNdff71FMhr6UeDhsQ1BlvWUyLW6mUflwoknnmit33jjjbjjjjusbcweRvtwYG+FXkZZscy1nU7b3tBRRh2/JCOnIFGw5HQAQKpMxymn7SX336e1Csl85WnV94IC5u62GXoyOQoAsGDtYAAwCbBkrm8yeHp9B9dhXw8ZtLxOaVMP/83faNvn/c6W97tevXo4//zzcfvtt+PVV18td99NQbkf6QYNGsTmjPbw2N7QoEGDiu6Cx/8omLLTY9tA3PN68sknt9j5yv1IbwtOPo8++igAVVIRCKSif7V9DEAgiVUtVr8zDo9SE70FGSvH401aUS2QbVivJLsTv1Dxfl27KpsNk6uM3ed+u30tKZYZyZXxgPGZe9iPi+eooHgWwGCRCv7O/ZmnPFza06PyY+zYsQACmx2X0sb28JSj1QEZawHgoPiG9Q53vhGUTr3i8EkA3OyI78AFF1ywSdfisXXBvPj0vJae0pwjwmryINe2WpaWxmfwkrZfmTub8yPz59cs0XHKgjmTSZtxrdvPFtHB3xsnVdndVWteBBCtniVzhksW7PLilr+HM47JrGbcl3m/Kxpe3b2J6NOnDwDg4IMPrtiOeFR6cKwMHDiwQvvh4eGx7WGb+kiHJ7latWoBgKm0RCly3F9U7GAiE5+bNpFMWMt0SklRKZ2hRu5vvAF1nYjX9lMZdL69XaX73H///QEE0q2MVaSkaTLf6P4XaI/MQPJT53m6oYrRq1mgJNcNdTZY/ZDOJKNHq4pRNEv07t0bHhUHVgajTW3Dhg2YOHEiMpkMnnvuuUgmJ2p8OA5+eVjV3OY4YfGfhIhnzQQURS0A6zgAePQDlRHpkravW32UHr6DBg0CEIyxE/5Pqe7e+eAqAFH2wjHeuXPn8m+Gx2YBM4qRVUrmLJ9nmLXK6lXyGMLl/UyWyVS+NdadByDIYJaWDFn0RW43fYU9buX5qClk1TyZO/yFF04CAJx77hvW+QJbN6zr4Xa+f2Gvd/7NfXmfea4DDlBa0v/+9xpUBHyctIeHh4eHRyXFFmXSm6u6y1NPPQUAqFOnjtn2eWtliyYjNvYElozUtuAEDBWx1wkykzRT7oj99XoebEmO0tf/FT0NAJgs2EY0PlHbPXhCh0cm+2eWPL+ok8rjvtxdVb4p3UXZWEaMCMpebqytcWtXd9mW8c477wCAKVvK+E4y6LDETvayYcMGMz7ebKueW6QqkSh5Go0HFTZFMiCOo/Cxeqz97bhn1LqsKCSOMZ68+uf2hz1s7ff2u70ABGNx6NChAIJ3gsuzzz4bHn8e++xzF4CATTIempOWzL4l/VaA4JlQGyIzdRHMLCbZOMfxqlWrVDtl9rxmqkxlsQEHyK0eRENcCgBYv0F5fXPeY7vBPcm3+uvyuyDMPBy6fFkpS3q0E3we3313Q07XsLngmbSHha1Z3cXDw8PDo3xUSps066IyHvDrvZWNLC8ZSIj5Cc1cNQNBQolGjdao5dyqDm9CwWDNZkfmneCwRKQPANBvb8WcBk+rq/qjpbE+e62NPT6ZsJmTZPb1lcCKEnleSnu6io3sB8/73V8Gm21jxiiP9nnz5gHARpUIbdiwIY477jh8/fXXOR+zPePdd98FAFMClSVIpZc22QyXyWQSmUwGiUQCmUwG/zIM2rahJaVXasbWuES9vG0kBKNWTWjtkj5HmiK5zJ9MBmGfKmJHPK6Dsl2/MfESc21AoD1wMezzzjvP0WuP8sD5L/AJsPNhE7Kmcly99oBxch+bdUsNnaw21SDdAwCQStoaHzN2EmxX5+jWjJU9zRNVtgyEVkdup1d5+H0CgrH16qtnWP3s2nWCdR0BK7bfnLC2IXgXozb98L7FxcWoCHgm7RELVndp1apVRXfFw8PD438WlYpJDxkyBEBgb/hkF2UTi9iREbLtGthMuOFq9cfC6lni8xw24tAO4YU5AaWth6YpaTdT1WYdxsYtGBFtzIbxGLtgvDQnbStkRc64wFD3P2v9CADgiCLlMc77e/HFF0dvhMbWrO6yLWDCBCWZ0ybHjEvSSzQtvPjjMhqpJccFn5f02jZu23GLiI1aMuhEMjQABElJGBdwm0EnHUw6E8PIAOBkbeN+e/LlsdfOJRn2M8+o/cl+Lrzwwth2PRRo+2R1K8IV2xyXj5rgsyGTLixk9IlaZ5UpssVsub4D+61g9ezbOj1/pTRT1eM8r1TblNP51v7pQh1PzfeIrSbjPdjlPZA297Fjz7T6yyWraAXe7oggYNvxnu88dr/97gUAfP31ddFGtgA8k/awsDWru3h4eHh4lI8KZdIPP6yYcs2aNQEENpj/7KxikZOI5lk1yNh/kBUY9pARvMCwCikBxvfN2G4ks5EH6N+v2lPZKB+ZsYN1XJTx26eX3ZFwxXkb6ZnxgLRdIxARyc4/aqniLNsXKq/E4cOHAyif0WyN6i6VERMnTgQALF++HEDUa1syjeOrDbPWaYt7bbHKSJcQNmJTV1dzhkQ63r4oWa30yg2yI7kHkvkrWmzX6pvcLyFiryM6K70f40kHvj/S6hOXl7btBCC4d7QbMlqDLIj2UG+79vCIYot/pH11l20XW7q6i4eHRxQyrIgqX5ezK4tn5OVFFaOS4LBYhDSruZKbUMW7uFAJo7VLugEICYtr7fNI849pzzjOakGQ+uZS7djFcDLun6+vpdjuj+wn14NiI/FC76hRnQAAZ531z0j/AsHX7rtMF8q2t/b3a4ufLa66S8OGDQEENUN5M2iDpt01yqAzMX/bXtOSgiQSdtUXuUOE6RrboO0xGbUZQvddv0g6c1lZSttQHIMUkCzGXl+gzPGooeUayaTzhC06YqdKBC9qQtRSfbfxnQCAg9f2RS7Y0tVdKgM+/PBDAEFOYmZWIvs7poryls8IG1ZAXG2NDDUaHeuourcTlp1rvLvT6XRMpjCbtRovVj5fcPKjr0PaOm8QJRCFaTtLLV8XpB3cnEOPwUc+eFmv2u8rl4O/eM1av6zdadY6PXfJsOkzQY3aueeeu1H99fDYHrFFP9Ku6i4MsfKoXNja1V08PDwCPPaYXRSIApgspCERCEd2MY3wb2PGnOY4RppPbDbOvlBw+mPtEwCAhusuU33L2H2TjNpFbvKMI6w6LiX6lRQmFZeTnIvtyuskg06lmAAmIG+yDcmkpamJfdhaDmQVonemDYpsZeq+z+jO2N2RHnqx9l3hlW15twJIJqX3tjje/CweLhlypszaL+ptqB7g/d+oa+r9F5WBKqFHXUYwJkg2I/sv1g2DNnGGtlrHlXkqDqYtrRriB/iyyy5zHrO94auvvgIQxDvTMY6Zw9oXKHspqtiammzx8yHDrl7IySqDVCqFv36sMilJb1qyyZ/TVPvJ8WhrZpJinJvxFYoHNX4RrolM2J6DxnJj4K6KQ679nv78n+HmcfkhKsZVVqKjdzjjrbt3715u+x4e2zO2+keaidM9PDw8PAI895wS1GRiERekEEV2mEoF+wwbdmzsMUQ2ls7tZNJ09kust0kBl+Snkiy47Lyu0pNLqivTRw3NpF39kse5rmf48OMAAF26qAI2FAzj+iTXecuSJkUzU5QqQXtLpwvdKh/pESNGAAhUF6z9HKh1tPMAq5HkuWKCgzYjTtcaJqNXHm+ovf0feapO6c0p5X0rvbBNztoyxrvC3i7iYOXvD3zDOER1LX33Xm9fo97v7yVqENauVhsAcN1axSpkhjEyaBmfGBBo27YdRkSlpVkWWdvCw1Xe8bt/GMrGAACN/6PiX7enOsNk0LQ9k0EfUjYQAJApkI4z8dGJkThmed/F8wg/g1R49nS0222/cQCAZ//bUe5gtW8Yvvnd7lV4zWxz1JWW58gEg9peF329ur2yGT84+QVru+seyQpFT36qamv3PkzVMOa45H2iwynjrDl/nH/++fDw+F+Bd7P28PDwqEA899xzAICiXVRxnDxHkRX8sSH2eEMQHmgDIGC9QMB8s9ly5XaCghzZfe3ailQUbiiM7UNGC1rSfOeygUuP6ZV1FKGrrtclkXN5oUtPeJnsie088cThAIBLL50CCenRLoVZuSwrU/vdeOM+kbY2J7boR3rMmDEAgIWHazufvrj9f/kHgEBSlhVajJ2YMcGCWYdBx4WQcRkAcC6Ug0PJCmXnqlGjBoCQLbDEtimTZabSrJNqb394mooFSKXUoG8vHC2Cl4CDRa09+K2S/vvto66VoQa8dg6uu6uojDjL1y8HADxdcKHV3yBXt+2d7nKUAEIqJhFaMGNPpZ4pzGOcql2nlgz7+efVNW0P8avLli0DEDDoQ9MDAYS4XiS8xfyll/GaE/kcTKiJHg+d6o7E6IIFWFRSH+l02rBFOXnIiVmm8JY+B0HcvKg2lAkm2XE3dNRt2BEQfJ+CY7gQHuQuCK1SnyNVWM9DU17UP8uJGHafxcT62EejrXXaqtl+mXhnhg0bBgDo1q1b+f308NgO4Jm0h4eHRwXiqQlK+CgsUuyUAlsgEGrC0Dy+wMPj1x8IIGDNNCcCQZirq/yiy/ThSkHKIhOp5q8ACEwUVRecAyAU021IS/ntl+n+rKn3PACgUKT5dKVJdpWmJHidvJc0lTBxVthWL52Be931mdWWy6SY0D4A9764AAAwa5aKWrriiiuwObFFPtJ3fd8WAFB0oLoxBXm2auTbVrcBAOYuUzeyMKN+px1Y3jTDTkLB+kkz6JKx+1Llw/y3zAceDFbtRavro5ZxXTPnh74ju1TnyyTsQSsdF2SAOwdHmW5/4HS13xdF1wAA1u2kMlmRLfAFY3+vLFJZnJ5efaF1vmywgvSFNqBeNV3XuMTuY6ANsAf8/EOV9/eIEaqdbc1GPXnyZPP3botuAQDsakIv+PzUWs4hxDaxjpks7B3VPU0gkUggmUyase1i1IM//5vVL8ngI0xaTlKZYJx0vFM5yYy/8RR9jMy7zDNkrGNNjLYjYmDSe711n20NTa+DTwcQMGNzJ7I4JUk88Z9XrPUrD1f5pXnP6AXuvb89/hfgmbSHh4dHBeCFF5TDXb5gj9J+zPhnlyMfTXkkJuGSisYbWzBpGRftcg502YClmW/hDspEtuP6C6y+utoz3tWiX9mYcTbG7xL8eG9J1sLaBvbFZCd78AQAwLnX/9tum86gFGq1HyiFXybp2tzYrB/pO2cotYt015cDgfexifJBwPwVNlNOldqM2tQ+DaV9Spi6ymr9zA0q33chFCuXnuR0fDD1SXVQe6rMZtCPTFf7JwqEioML3fm6BQv0tTWyrlFea16eZurayaBdSvXzt7UqEJ6x4uwvlyYMY038oIw6fOg6xiEmbWK9+Zu+1iBrme6rZGtJm93Rp+CppxT779mzJyoz3nvvPQBA60U3m22RSUBMhFSUZCJu0rw3tjd1Rnpv0zYN24M5kUwCCTVeOtUdiVfmqyo9ZIUSxnfbsF3b10FmqDOQ8fjhNmUOAcex0Wx99oTM447b9wmrtzIEaP36Htb2oV+/EelTHFwT7uMfK98WMmqZqYyMmu8M4LOVeWw/8Ezaw8PDowLwxGuqKA9JTZD6V3h3CwGNi5H3q9hfmq3imLgrExjhKk2ZjaE6PaEj+9vMmVoDkxO8mkq7W1uTE+lAKfsVjm+O65fcX16fvFfhfeUxUY2GHcrKiyXpeWiUCu8844zYLm0yNstHmlWVqhylbnR+ge2xSmYWqFqESzuZm+4OvVCld2f4hicz9oCmgwTZeyT4Xp+L0ndg91ZtPqqrV+UXSC/q+FUIO3kyz/GCmbR5ellG933bNukaGH3qjQIAPLxQxZIaO7NMYVcWDangb/V2YJID9VvEKYNtJJiRzL62fKh72LRpU3kTKhWYh7v1wpsAAKmyYLxEWKGEYJGyTG4iYf8QCQkRbNR4NCOJBBLI6HOf3kA9zzHzbEbNdi4+UNWv5rh96pMTrPNF3b4V0ohOSrJilplcxC0wfurOCVpUYBN9MRnN9MWf1GawdXyVKr31Ur2TzPkd9DM+I5pcPvrhKGt/eoFznQwbCFTJnlF7bOvwTNrDw8NjK4K1C/Lzle04wthEWB9Jy+iHTrT2z8UzWzLJbIgjRHF9lOu09a7LV4Vlqi9RtmkXiVpVV8WG18nCoCVRk0zYxbAlXLm9w21KQZ626TP7vmGdg87A0sREExpzsPfu3bvcPuWKzfKRps2yME/fcOFFKjMNkZVwvXFN9ceClTIGVB/PcmYWS0hb56I9ijZdyaD5kMhcuv+hKkLttlh5/eZpBh3EYtt2WiIprsWUXpPu+eaBk7XaNlH215WSLpLuLhPPmMuEl7r9ggqbfh41HHZ4RARUZYkk+D/urezoL7ywHEDlYymt5t8IAChNRUv7uRi0s943YRg2x3I82wtuezzjTiRUH+gEdFZjXVWsdvmTaOpANUmZfOuaWacjySLUMvyOXNL2dQAx0RKihrVk0nLQm/fQbBAfB44TmeFM/3XcvoOs49PpPgCidagj58viFU4v8KuOOFu3G1w733PPqD22dXgm7eHh4bEVMXSiEiaqVbMFPMlin7urAwDbWzsOrhrOcW1Gwy7tojsEhRyWbiVzrV69emwfeDxDSFNVlbNfpopi/+kWSigt1eerKpPwiGtZs2aNdX46AJORu8DjZWpZFxMP/x3Ep6sHQvPJkze2AxAU4bn8rs/VuTL2/abZp8iRb3xT8ac+0qNGKRtR/sF0BrAZsIERuDko7WXE+1QPWmPf1b0M5z4+eYXKmvWvWoEHL1BeGIMtrZNpF5j9bZVHMOBdDhT2CyZzfxMmKXu+/XLsseRWAMCKxoOt41yqq4x4ETlAykTptfDp61fX7B18Ie0+SKJCjUeeKCJP2yY91eceTO/eysVOpMd0nAMNEbBGsR5h1pLVUUNi22GD8BhxvoB+IpFIBJNhHT4bjju7H8zxfvIuI6z145sPsXrp0IWo36rqc8zVqkF5D8wfUmuk92uqj+fvDnt44CzEccZ1/p6wztd+j4EAgPXrVZQAGXG2dzZiM9ft01Yd1or0PtTOB+4Ztce2Cs+kPTw8PLYikqJOdEA+bEH9nOsmAQgYNdkkCQbBdqQzKgB8dYdinhntaHvAzYqhSnZu0g/rJduYOXMmAGDVqlUAgJYtWwIAmjRpAiDqmU5IcxD77BK8eA+Ytpe17cmEd911VwCB7VuaA6W5kEz86zt31L+r87XuO9/qT/hvmZCKfbpowIe6bU2EYpw0w9uLi6tic+JPfaRnt30UAFAoSnfJWE5py4pKzGrZSNum56/gD2qRB1sNEW67c2qg1ZbT9pixPZuptilYTtt1/CBzJYY37QoGLW2c3N3EJufbbIYvnkvtI5mVfCGj9a1D90jkkY5mFotflzZr2tNNdjXtvV9Z2An7cUTCVumF76nU0kgEeav1utFskLXp5xfwRms9bfYPWgzvx98SdUR7kaxetpu5zBVuUkQ6rsO65gI7YYRk3S6vbuOtPcdmwCGnErUs1vsJhm38NCIqzYzVjxP2UxntjvuLauetb3oBCPw1+Bxpu5ZIinsY9gt57GOV9eyKQ5QXPVWXlWXMenjkCs+kPTw8PLYiGNponD9TdlEfaSe+4MbJAIDhdxwNIGrzJOvlctp9tc1v6TId4qcFJDLMIuFV7cr4RSY7e/ZsAEGpVxas2WmnnQBECxgR2eKz2Z/58xXDnTVrFoDAFs12IyGnkZrP9u9MElVWtoN1PT8/0hgAsOc1iyN9kaVkuX3wLYcAAHrc9pG6xnnHqzbTtqTMPtSq9Q02JzbpI/3SS8rNPu8wbePMkwxMQ0reZrNtuwrYn9qvcU21Nne5tdkaABxk2cqJBedMWMcx0frKmkN0X1Rnas27RPfJtk0bB4yUHmwF7Jo+X23NIli/Wl9bcnk8W2X3ZMwy4VILuRi0vM7wNeWJqkdyEgi0D/FcK3DitY+rLLbpIxIq5EHag2O9g4Wd1PhLMAd8ki+7nYkuCf3cHRoXIpg0bO9rFACJOqqleCTEIt5vANQqOVQCVpRBfFRLaGdpT9dLMXFnHBNiZq3NqImkYO7BNYj3PkhtBgA48YCn9apan/TdFdb5gm7Hv9txWiTmEWdMtbdRe2xr8Ezaw8PDYyuA8bP5808GAOTJojxif1MIRUs1paVrAUSFFDLAIDFSIKyUCQdY7usy48llgwYNAADLly8HEDDp6dOnAwhsyLRVc/9wbuzwedetW2cd98cff1jrBBl0/fr1re08XtrlXYxa2vl5T8M2eZd9m+jRQye6ggp/zJjHZpukKNjffbeqL/3LL8ocfOWVV+LPwCXWe3h4eHh4eFQwNolJ/3GQkhCKksqzz6V+CpxrFM5IKjU5yz5SuhqbiFc59ShWifNliToAKClUf0dVtjakdMT9KUlJdbb03DNqz4jDjm63NtXOedZ+0OrTRC1tb9J68NU6hMYUH4ntdQBe10VF6rgnS84HAJy47HbVvsih+0XzGyLHSgexIKlJfArTrJVv0nTC0wk2nlQOQJdddlmWq9m8GDFChScdZS5DOFeF7m5SqI8jymKGDWVstXMmI9TeSUrocsxzf4bI6WZrAsi3+xU+3oQnMUkKwxMFAxCHRZLnxMGogbnB5W0m9jdvL+NGyTRc9sC1tnkhU5X3QN8zW6sdpBc14WfiWvVxx+6jMnMds7da7/h0A+v44LKiDMg1hmVmqpEjlVNaly5dsKUxdOgxAIBq1WxPatfcJc02rvhbziXfP1hPtxdcIwmlyxQkmadkvIx73nnnnQEEDHnu3LkAAhvyggWq4BCZdPPmza325s2bBwD49ddfAQBz5syxziOZc+3ayq4u52l+A9iunMMiZk9Hkqnv7qlptrW9db31G9GlC+c5bpFsXWofbLt+tvj2XOGZtIeHh4eHRyXFRjHpRx9VDDr5Ny29UPClFGZCMOyQHyndyO2nljwPIJCWXsu7AADweuFFAIC/bhgU6QslKBmukWvoFPejRLbj7O4AgNIy5oqNZw2GKTM0xsG4A8md90L9Tq9IWddUSrTynlEqO3eVctZaXWW19buMc7TbUH04JTVMnbNQnfOfifOsc5pr1ccnJYsz7erf9XNcevQQ/cvWYdJMotNhgboXJpSoCZ399DgMe1+a28J7wgcoWBnsMczjAkc93YqDyPLciVo6VjWdRAYZJDIJfX9JJ23mbJi+EZujzlBhREtV2v23OmtWM+FdTZIS0USEoxtmLUL55Lghc8Y6/S4yRCtjX4vM8xKkHaVWwWb0fHRv9FJ2y8nf9wUAPDhFOX8F72D0XrGvZJt832VGqrFjxwIATjvttEgbmwsyiVDwHtnvadKRFrVHD/XevvCCfZ1f/qOqPk7PIWVpuJCtapTMlU0w0xfjo+nwSmb8zjvvWPsfd5yq0MX7O2PGDADAiy++CADYd999AQSMWTJoag1cWgaZPjlbBjVjNy5jEqHgPnx+q9IIH3TbBnFO2zlXZm8Lvg32+CsvA9ymwDNpDw8PDw+PSoqNYtIMW1pMiVBvN7p5HaaSBpNKUAbQYUb58UyaUhkllVMzilnTFr0hscHaH4iWpCSjdoXESIZKiXHFihUAgKJSZetIl9k2yMA7UCSzMPY1kQNRxvPBPi+9Iwn2Py6MBAjuFRl33bp1VX+1pMl7FCdBnrh+iHWOomq2dHrKhuEAgFcz54hz674YiR4CtqQvM/VsKYwfPx4AcNjshwEASV4rU7nO1eFpjYXWAyGmKtqMpnN12OM5lsXzCexSev+6ZOKBvTGBBJDgfWcP7OMCfwCRAMTePZLO1MWow/u6ylxGeCfHrtwOuysyKZFpX4ZsrRPvhmHWoj3xTrFnkfS1+jimFS0rU1WGyKjDFyT7xtShvQ/TJV91H/n+MKPWlgS1bakUWSo1P5IVxufXDt43mdxJ2JdjbPONLv5ZH9vAassV6ukKaeU8S+ZLpizx9ttvAwhsyGTQxDfffAMg0Fzw22J8dcQ1y/ktm6aU+zXtqZj+70+2AACUGp+RYJSzRDK/CZzPnn9ePaezz6bfkvYvMu88t9vaVLbj0lpsLDyT9vDw8PDwqKTYKArEVJpLjXel7YkaSOjU4dts4eVEZwBA1yJVIUXakWWiDinFhXX8lLhcNmnCJWnxHPQuDEo96iujB6pIdWo8+PR6npR2TZpIsgr7nlBylzYf2U95HWxf2rKlnaRLcow5Jq9qvPeotMcdtfoRAMC7Na/Q55Zxg9bhAbMR9vAtjQN/ulv9Ie1QHB8s4DJXx4s2Ce4hk5Qgr3zpVl5rxMuaDIRsUXv3wxQh0b4BoYItgd9A9HWLppXVpzFL2mltG3YECXv/cF8N8+U5BaOW+0tv8Mg7JA3zCftd4FualmOaXuBk1PI8Ed+VyMWphd6/g2bUD02pZ/0ebkO+R498+DIAoFe701UfRYYq+jt07twZmx+2Fo/3JWqTZsUmssd83TeySLsdzgHBepA5i/PPtQ8rm/tLD16pz2UzaTnnkk1yvpKMlvNvnTp1yr3ibHZZ2rplUie5jPO5CbfvyhV+9QMqmc3tvf4GAFg4bLdIH3hNvAdcpxaAU3WUMdtzrzz3s//tqNrR9cOvuOKK8m6FE55Je3h4eHh4VFJsFJMOikEIW5RtJjOQmViOWaHS/q2vrhgcPZal7YVSFaU82lTLg8v27NqP52Iffiu7HwDQquR663fJKktTdjlEXmNSsKWIzUTfnRo71AAQSJDZbEMuTQDvETUJRPi6XfluKXFTUpTSrghzjyCwz6et9S2Fub/PtfqTTNpSvZG26UWcp59VaESacSE8iQlZBELaneSYD1igWpD10E6elPuZNcEKIfuTxZtb7iafUdwzc9igI57jkZhswWocY1QycvNcHFmgZFx1ojiebbn8BDKCyb/eaxEAoOPTDUNdt9+roICKrRmRLIq5pN966y0AwPHHHx/bt43BsGHDAADFxe31OakZpEc1tWo2g06n1Vh67LGler96Vt+pCSstpU2VGceC+/nwqvsARDWPMj8EIfNJyNzecn6lb8wxx6gY8H//+9/ZboeFbHHOMopH+r9ITSKvM9Cs2u9to0a0OwdtNOiuImWSSTtLWnDNtqZXakL4vIw24AClcc7Txw//5lQAwKbxaM+kPTw8PDw8Ki02iklTSjHSDm3TQhCWGVgo2LGyiWRu0sOZkDlV45BrDlq5ZNv0KmRmnVUYZvWlzoJLAQAlJbqaTFqyEns9yCKkjl9c/ymrv/UdDDhbEQEX05b3Mmx/jtQ7FfYn4r06fdSxZMQ5eiVKqXdzZx7LlNjsJ8/Y7OgnEN8fI/3PDbQe6SbagzbNyieOcwpv6yDTmLj/tWzfBOORS81LiLnxyHQ6E+Rjjhqf9XZhS5UXafon/UBgzmd2FVV9iIi3tzkg3ubsKjkrM4RF7OoO+2LEC3m9HVdtvMzNRdlsOOiGrYF7vVeQ//mUp+rbfRLZoaSfBt8JapcY9bE58NSnKudzUVu79rLx6iYb/K/0MC9/TuDxDRuqPlPLF54rkmvUuZ69o4d1btqapUez1DBwu/RYlvttKuRcJNvn+V01tKVGIOqLoJ/3Wztb/U2GikEte1FpN6v2sLWkPOcTTyhNTc+eyh/IsPQD7PWojxWzov256BfPpD08PDw8PCopNuoTH0gKal2ax6I2UCXd7P+ryjO9HMsBhGt9qt9llpmNiS/L1ZbrYqqUliixyQxjSxooOzozkpnjY/4Kr65qpu1Q0m4qpC1XdhqXVkFCeoPHeVNKBi3rpgZ2WHudSBvp1HTOPlyvSu3ApoIMmvl+I7nD6cUt7MaS4YWrDGUS9n3OS9hZ88yliGs0YfCSAdPrG/a9kZEOpl2zj6DQESWRYJkiDltmOZIdD48TjmkueT/yxJiU70jUW9i2+5lTinwJJmeAg+VHmLV8N3VcdSbCqMmG6VcgM3NF343XLlW5pP89VcVSP/zeS7F9kOA1r169Ovb3TYG5//rdz6emh/ebzLptTeu4x7rPAgBUq1bDaodY9oLankzqXAkJetcHz4mXKY+V/iiSDcrcFdwumS/vl8sWnW0u5312aQSz5WCQY5MaAmnrvub7BwEA9+9+tdo/lJUtBXUNs59W52rY3a60RW3r4MFKE9xrsMq6xnEYlALW99+hHdhUeCbt4eHh4eFRSbFRTPrzZn9XB6WVhBHY7cpf8jiizaw7AURj7nKVnuLgiqmWTDMbI5W2qboLlX21zGHGk6CEJuuekmXmmotZSpYur0bX8eFt0qubmgwuD131AADgvbp91IEOF4DgHto3g2eee8gT+q+L4hvYSJhnF/Hmpl1Zj7My2wvYMOmwfX6u3rexnU86YcpfwVoXqQCCPiUysT+YrRGH6YSldXF5/dMb3LDESBYuhbx82/ZNKX7WDoop0LcCCDRTcuxEMoWF+hoGx0ut5UqLZDIAshKRXjfX7miXkHb0hLhmw8A3aEZdRdsZ+S5nefniqmAxljqTucraV75fTz2lbNA9eqioC77/r776KgDg9NNPL/fccRg0SNUcSKAzO6UW+ndZBcvE3uvf+7/YGgDw8nWqjvScZ/S8yxzRGcccELq0wL0g3kOZkDHC7BvHkMx5zvvHec4Ftvd///d/AKI5vumnxPvN83HJeTPX+tGyOlagZdHzu/akD/tuJMrs+WXOYB0Dfr7yEeA7xZhwU41MzK/y3pJR87meMkAdNv42bBQ8k/bw8PDw8Kik2CjKKj3ozHaZs9d2Dg3Fqql1ad9gvB+9vGXcdFwWLleGrmw2aLnuykRGCa9Gqe0xKRmQYewm5lFJUbLaFSVBlw1dwuWJHa3uIlhJ6DrlNVJaJSOSdboDO41tB5U2X2bTCnKza0n0T8ZL0xbNWrVE3j9VvuWE8ECFYb36XtG+lowyLuNRK+Kgk3m2bZlwjY9Qb0P/D/3hZNoZpNNpk4mO/aliGINa8vkurv+k1Y9srLe+o5dxkLmiXf4PZDFrG9h5l8v0uNlxkaqixve3hNmpRDvSOzySicxxTYkNenoqIuvL2Athqw4/KVdeAalhe+KJpVZfBw9W7OmSS9R7u3btWmwqnvlcZbnaoVrC6l8ZmZbQHObpOWLktWusdmY/pSt4lek46LJ4jWWZ9gHq//0D5li2Lb26XUzUZRvm3Cz9iThPusDx7MpM5srZIH2FCFe1Ltlvrg+98xIAwHnXKi3fdT89BAC4t3W/oM2UPVZ4zYuGKwadd5Ea32TUL16j7OgcGxc8XNPqU1qMa2q/WHsbaCFvQ7nwTNrDw8PDw6OSYqOYdFAvU7ALh903YAGw1pltS7JCV+7uOHaczatbevtxSXYg65VKb29mV5tZcg8AoOW6a3Tf6Hlq99nlnc3zyfPIfkqWK+MDox7OdqxledoG1zlkdiHjNW1idXm8fA52Jh6nEftPQl6rZKeSgRntg2GKwf4mI5y2TZc1VtuNbcqYpnOzexotA+x7EjQUsL6MXqbTZSZmklL56uYqCqBM2Nxkjj2XB7a0xfHZhv8OamHHMwaZvU7aAaXtlL+XNlV5kcv0uNpxgaqmtlbbKY2dU9rbhYYsm9YrSUZdqPc3w06PTx4HN47e/WEAwPs/Xm31IRg78ecmc9wUyEiOiCZBZK56vt8KvYcaG8Y/plTbOks1e0xH7aoAcM0PD+jzBdzLZMLT1yuzZREuJi29vXkt0jYt0alTJwDA4zpv9U477WRtX7xYxbRLTaOcL4lcfYvk9cixzOP//vNAs+/drfoAiHqG8xxLnlN9LL5UXTPt8AuGqmyVd1ZVzLr/Mvt9kdnapF09V3gm7eHh4eHhUUmRE5NmJqmC4+14vwCuKkhKajln4auhNWDhDgsBRCV5V+xweVKTSyJkfdjp06cDCCQ32kb23HNPAECtWrWsc/Ncku0XzFdSUDi+LnxRPG5uzUcAADV1xTCZd1wyX0rqtMNySalr551VphzGkrvym7vuBxD1WOfyg3r9rP3o2RxN4UzmY3OWIOFU+bGn2eCKi5YSbeQ4LqVt0mhwQt7dx4yx9k1OVx63xkacFgxY2pRl7O8SzcB05rG0Pi7JfOYIaToMC0ii6g5KQ8NxUSK8/l0aGakNoTQfVOqJanS4zXhlC6/+aA5i26OXLKdGjRoAgneCv0c8gJupe1xDM+p12mZHm3VGeBAbbZB4fvLaTRSBZtSJYjJJWP0Plc1ypjg/ajdlk3zvh376WLYRn52P927s2LEAgvrHucB44pssV5pZZ6j9sL2Bly9fDiB4txcMU0wtXaafV5mtLaEPyA2/qDmHWpq8UDatoXdeavXBNV+4fB/kfMVnTU0j58+//U3Z3zlvNW/e3LoWjqEGDVQ9a87DHGN169a12pXj3lVfOtucE3ir854wg1qwz/U/KS3LXbuoCIA8Uc+b55g3RF17aYrvtu0h/2AdOy/49au0F7ge95sStQR4Ju3h4eHh4VFpkdOnnVL/Onppizq+EVuhXu26QDPoPPuHxiUqY8vK2iv0ZluKc9mqyoNkGtOmTQMADB8+PHZ/1vaUNhFCVsnKLyBztSW7wgK7OgslRumpTkjGRFYzf/58AMDMmTMBAO+99x6AQHI/9NBDAQQSaC7x1tJ+SQn8/Xp9uYM8OrbNuLbD+9N2val5fKk9cErJp+txNPZMu5cOD+zMXxWjKwt7uotryOyh6gYnZ2hGHalLa/cxUvdZ2ufphM/sQxmbgSSTSVSpUoQqRWpcrGz6rKM9e3zIaAEuOW7IZjneOF7Df3OMs016pdIzl0tuJ6Oj9olts558vXqqGhNZFH9nXzY0GqnOp/u+49yzAQBrdPsmi5WYRzLCz4KQzzuxXk9bVew41PA4CJi0vp+0OQuGzKyI2XxaNsU2TWZrxrVe3l9LM+gy20N57Rjloz+vUOeNENOrrJiWEBnXZIY5IPcsgPLdc3l9y3mO7VPLwgxiUoPIeZljkWOTvhkcO66oFld0QzYmbeoK3HIhAOCim57R1xO0nxa14PPz7Pto7onIMmhszyJ3Ab+PD9RS1zzofBVjz+iHxx9Xc06u9aU9k/bw8PDw8Kik2CgmHUiEdu7cIPOUzULWN1in95Pe3mpZlFE6e1fMM1Ged7dk34sWqYolLgZNSM9XaeOV7GxF4yEAgOp/XGRdU1GRkiSN7Vp4EboqUcn+8/xk0ARtYbRJt23b1tpfenmXF0suY7oh4qHpJ+si2MHzjWebGwvaos1pnNEB4nwiTra0w8vWen7EZyJG86DbSu+uWB+mC0Yt606LPNK0ZWdEvHVQJY3SeRJIqGsqKqqCVc2Gxt2KCMhIfvrpJwDAH3/8AQB4++23rf2OPfZYAFHWDARMl0v+RvZCNkR2TubMc/MdoX8Hay1zf47Jhg0bWueh3ZLvQlnzV9T55nWx2inR7NQ8b5NtTcHkL5eaEsOotY23KMam7bCtciyR2bne92eeUffg4ot3sPbPBSNGjAAA7NZfaUuohbv8OfUuc/4sSGhv4KTNIuV7ZryE82yNgStng8vjOg4ywxgh5wwZecPtfNbUsvCZy2gDVhXjOJXnk1W2suW/kPNmNl+Oi29W87fRXqQCJn1v677WMVKhKKMjTJZAM27FPCUakHbx945WER1X5Fhh2jNpDw8PDw+PSoqNYtLjyiYAAAoS6rDT8zsBCGwigYla/fF6nsr5e0bypdh2c61UFfe7ZNuU2GbPnl3utRxzzDEAAjbhijeWqDVPZa7JCKkpT3imuzJVua41YORKIiUzmjhxonX8b7/9BgBo1aoVgKgdME6KdkmjkkEHtY/ZhsveDd1nO/7TMO0cmTUZNNlhJJ5U2ptEu6n/G6X7qZ8ZM13l0IFsGcSMN6m4KJMjQMTJ563Qr1BtHs8Yf0rP+UgggUQiYdkKXZI/GRujEp577rlyr2ediEkO205pa16yZAmAwIOWNmUya3rccgwuXLjQOp7e2bJCFM/N/Ro1amQtpb2xtIl6bhndx6pzlPaCXuAwWgzNqMU7KTM5mXGivb4zhUGMuIxnN175epWZxrK9t0OGKNbfp0815Iq32qmc3VXzlKeyHN+RutiiwlpgR7f9X8y7rreXCe/wTDI6T3JedMXoSq2VnAelb4SMj5baL45xk4VOj2dqY6T3trRBy3huV/VAeU/kPE5I5p8WGgEAuHr6/QCAh/a6Vp1Dj7BURntvy1ABjSD3vD2GjG1aPG95LbnCM2kPDw8PD49KipyY9D27HQIAMH6jWrIYWzre2o+SwnN5ywGE8yVLz9n4ZTa7QlhClJITpXp6SUuQocpMXrnabzJCEi8p2FX1UdQFps16RZMh5beTxXuSVWMokZK9kH3Wr688QaVXZPh6XFKurAxjBEUjVbs8mdV+RgolsxZZm3JFtvEg7cKpDqNi++WKmQyPF96XX+teZe1jWMlhil1+//rxAIATqw9nJ1VbQrtgfAjKegEAVs9Sz+fYZsp7NI9EPJkAEmq8LKo3CIXCviXHOFlpNgZ93HHHAYjGLMdJ6WQzfDc4lsh4GTFAG7VL2yAZNVkavcHJ4vkuMlaW9XjZN9olUy2Vjbba72cACGzVBBm1sTVLjZrI5JUMPX+ZH9zYESN+FfE2UBcjGzZM2RO7desGF/Ilc+Z7o5mv9GcIapDzwmEdb64pbWtxJDuUGgbAzkAX/s3F6lzXLXNlu+KruZQ2bBmT79KeSoYu25E5yCWTlv2Q26PVsaK+OhvKbF8JyYxNVT76ZolKemUJ2zO9xzPKZ2bQhayktnETZbkf6aOPPhoAMGNtidXpYBDYg4hrpyVSYj8bru0bE3IlIUNVli5dav1O9SHPTVUcJ7lsqtL8DT/Y7f2kBsnxl8arkVJFuSU9kEIGJ0L58ea9GTlSOTpRVelS04UhC2wsy/tRbXcfYK86dnN9FN8qPtrZl3CDnNRzDa/IlMp+icnNNIDIdu67vuDn+C7pvq9dMgMAMCJvvrMt1Te1XJ65C0AwiQwvmmf9nkwmMe3nNcgkp6Nz585Zw9Q4+fz666/l7sfxLNsrbxzLicpVBlAWPZAqQ9dYk2lDaZKRSRwiH8b1KlyyzITFyGsQqmvTjrzAYIdAyy1Uy3r5009Px55DokqVRmjU6KTY3zw8tgY2KQVKMO7jB/aMjJoEWmfUS+6adHONdSu/L6oP0lubrEAyTdcEk01AiL7+CuvzdgEAFKX05K8vhR/10sLWOfVffpTlhCqzhkmv9DjI+yrtOtHO8MByuxwyZtuMJldQIIl8YLKe2AH5IdXLdQU/ZT9WX0Pxd+q+V4HycF7SSGdGyl9g7b4CKsafUnRGf1goFKZrquPC3v6pzK/Ig3q22cY6xzG9Zcms6TntyhwVl53NJURxjJlMYHq7zNXtqkAk11054omsH+sqe6m+64912vmxthEZfuHdnZKlOMa05ZDGNGTcdLmgck0z5h7PqBznqbRtz5VCj4zDlVEVstoVGV1BAfNdkz0G7Fhmc3Tlvpb1pQmXgCbHwqbuJ+s0uLRirntmYu7FPCnnzyAaxvYxCbfJeOeyEqEtoEZP2J7N8cxWZxQd8eThosHKN+uRrh2xMSj3Iz1lyhQAQLvpilWYBB1UFbg+unp9cEpNcC4jv5wUXBNYXHgR/+bgomPVBx98ACC4wQyyl8HxBx54IACgSZMmseeUqL1ApdejSqTDFcoZh6FezVb11f2yUx4uafBUudfGiXLGjBnWdUh1vFRRtm/fHkCgSowromAcdkQYxISCbta+EScbR+IOV4lBjgOq865vPSX2Womfv1cCTXEVOxzDNU6I1DKhMhPqQtnfX+pcaY6Vzjpmu76/Lf+mNRj6Pr5+ySkAgJNq2GrnjxKqTapseU/Hj1emnyOPPBJAoOmoV68ebrrpJlStWhUjRoywQqTCfSV+/lndm//85z8AgM8++wxA4PBYKNKIcpxwnNMxB4h+FPnx5JjjmOQ7QAcyjjkKHnQ8o/OPK62oLGvI0CwWV5CCs1RpJn5T2icmVWEaTT6TyPgzjjr82IcSVMQ4CIX72LFnV2t7tqQyHh4VhZyYdGBXoJRi24ggXhaud0/U1fvpzVpYe3yt8sDmy0zVs6yAIqWmsP1EMugFC2zGw0lUSlyNG6vyRzJnt5TsuF5/8eXqPDq+bmr6VgBASYmKcWO+6XoFth2Ddqmacy8GACysqzw+XVWtuD3IhKTOz0lXfhQ4gXLikxNeuG0pVY6rdr3ew8WMxDrERzETP3GxQlg1XflGZtShV3ee8A53enVnAxlL2n7Gv9a7Sv8ctLNrp/g4THOssX+q9ROfeg0A8EbP8wEEHtE19Vjl/efHmXj//fcBACedpFSk69atQzqdRklJCebPnx/Jd03wA8ias9yvQ4cOVn8prHFc8PmTeYczTMlr5Tn53kk/B45B2qj5XlLzIbVV0vNXepjLjGUcwzLvgvEI1lW18n89VbUnPHwlYTajN27cOP0c1HMe/7QyG518ydnWPSLk+qBByox26aXVkQ2m3nOZPadEvLojdN4+dyZtCwqM8eX7c8OvjwKI5kwIC7dyvnHZoiUDNdfiMHG4bNeuqoByHpY2ZnkN2XJluIQol/ln2F2KZHW/cbD+JdAc8NKu/eFBAMBdO1+VUx+Mb0DGft6Bz4TdB24/4TP1TcHeyAneu9vDw8PDw6OSIicm3X+aUiEP3LeDtd0wKgoOQpKTEjBBOxslblnPNmjfVmuFJRtKYmQgUmqnBMnlrrsqb+yWLVta+7EdqgCNZ+pqVXd2bUqxhykLlPSTTistAFWHzHD274yS1I6u/wT0xQAA8nQmKqrwqJaU/aMnLNsloyJ7IQthO8x3TVVlXI5e9/0r3z5PBLvbNpmM8GiXePYkxcRc+XRczDnXyjZSouUz/KWuUkXv2jFltRduU4SKx0jodsYxqoB5//m8X3vttXL7GPaAzmQyKCkpwYIFC4wHM8cBn++cOXOs9tl3jkeZ4Ul6deeihZBqaVPTWjNqqZ2RDJjvK/vsyhIltVz0/ua1sD3ZV15TRo/lNbSTSuevqEFZLdeFOEchIxDi74s7F3v8Usaxl4eTv+oDINBIkAFLW3NwQYj9XebolvvLJZ8rWWO43y5I7+tcfXgIlzZFMtxcvbulz0U2J2NjT3bEUUtbdpnJlx70j39fc64yVaU/0m1q3yrj0CiYs4tZm+cBez5bcfg3AIAqa2S1+PLhmbSHh4eHh0clRU5Mms5J+fUUi6TAcPu3yj5KKemWZvsBiDp63TVvKgDgxsb7AIiG3rikLCklxWXSIQOhhCvt3GSajCvmOclIZWxnq9K/6z4p6Wni7B4AgBUrFMORuWJ5nJEk6wgHLn2+lmv7q2vR2ZGWN34GYdCmuNdeytOVNkdWxeL5yJhpg6cmgVJ7mD3K58Bjo/Wh4x3HCCnNJrNI59nqpjqle8dm3kvamqWtT9aczTP3IBFpQ44tYyNL2w5GRYW2/ZZ227feequ8SzOgZiY/P994da9fv96MNzJmmZlJOvvRgYw46qijAAQxxdTEkJ3GOTplY4mStZP50g4vQ6okk5ZsiPuTkfPdkwxa2g/Nc+T4Ec/KjBsu+XvkigNEhpo+5uQeyhYtHcuC3eKZXr9+/co5m4fH5semVaH28PDw8IgFBS+a9QpLRXpJjcAcGK/O5nbjcKa3B45p2vlKC91pnUQjcI4CRtxzmdW0Sw2cDRFBXbcTKT6hl1KAkxEBrhKakbh2h7nClW/AlaSG96RMCPgA8HxXZZgrS+mEUoeJAlIav31kO/TxedCRTzqK7XwyS1jyB1Uc6bRdVft2fIEbOX2kb2+jvLSlR+Ct+ykPad6I/Ixi2vd8v87antDS/n2LvlfbtaTsCrVx5YUN31iGhdC7mm2RQdOWyHUOEr5ABM+xe/pmdW494MtgxyX/+9//to6TNvF3331XbT/+AgDAqbu9ZPVLGhZqz1d2I8moyTYYtkJ2I/NcywxrMqsTEDAeXiNZ1wtr/wIAOG+H7wDkbn8KUL4n7CbHvRvTTnz7hjkLL0qOj107lcYeF26T2gMy52BMqd8LtV30i5uVBuUPnQueE+5hhx0GIHhOPH7y5MnWuVnNrEOHDlYYHfsk7b3UnMhJjqFXMnxKxprTnhuuJy1DHKX3rwzNo3aJz49VrmQEAsPIqDGRta2p1SGD5th0VYiT2dJSwk5KME8+n2okl3fV0AfH/Jmwj0lHJ+k4/JncDR4emxOeSXt4eHhsBjzyyCMAglwG0uyTK3ulUNTy0PigM7LB5w/uDQA4f+Tj+neeLxBAXGk8iWi6TFuAcpmHCJcTJ4VIggIhzTQUUmW7LmdXSeRkf125NijcMkEOhfNwUhrK8rLsMO87+9j8kFK9P/umw8fqCgbmcIQN+qqe07PPqlKmF110EcpDjh9pfVIm6sizY0rlg7pxL+W5GjVxqj8enKkkZEr9ga00XsIm6IUKBGkTySyklO+qtsJzFRbaDyS5QTNo/RA/WHKlPucfsXeE6UfJoAnaLAsKFKM+aafh6poy2ptb3wu+wIyjXtbIZtRkRrSp04bJQc7+k0m3aNHCuv7wtUubLe/7qNI26ppF7OIFO6rMT674aA7qtKhLLc8rkSiM9wI2k5ZDzWfiRYX1sfVpttel6U2MRsBMIpHJxmbQn9+knsc87T3Pe8YKUnxu1NSQfZ588skAgAkTJljnfffdd81YkdoYIMjRzufGyUuOV7JKPm8mOTnkkEOs9sLJTGT9aPad186+k0lzbJFBy1zdkomzvf13uRVAUC+X17C+UMU9892UyWoiKW1XqgQyfM953nxho3Z6BFvj0PYJcR1LuNSkhE9q4lFR8Ezaw8PDYzOAQhETJe21g3ICTXdUH/yZ4+1QrEgYmBZGm7WjQECzoO0ISQbHcKLnuypGfe6Lj0X61O0GlfHwhft767ZsJ1wKQK70xDJEy5WWUzrS0vlQpqClmZIhiJKISUFQhrxJQU+mPZU29wuuf9Luv+7vKxddY9oks5X3maQklbLJSUF922wD66ho4pyIVkAvB7VVxXzK59E5f6RtxsSTJPLzrO3pSFUX22t40Fx1uvyaaikzELm8TvmAaZcFAmmbD5sviPQklfHI8qHWWdATAFCqvbk/XtYXALB0qbJ1S1tjriCjOnaW6lemQHuF369sm2Ts+Xl2/VXZTzK41q1VDnB6s1Ndw5eCbCjMpKWnMCFfBJ6T9310SqVM5QvYtcrXqu9pe/BCTDJI2OzUBZfaz9TPlVVn9LL1qcKOmLD7U17WKDPppMi+1W/UWHyubdCLtcaCY5LjiceTfUqGS2ZNZvzOO+84rz8M7nf44YcDCOy39IwmM+b5aP9t06aN1S9Z4zm8je8I25C2aPpVyMIbfP7cnxMm291/lwF6P77/tuamoFSl+UyW2D4oRKrMzvXNvpesj2fu5mlSbRh13Q7+lAw6x8xUkklnKyri4bGl4Zm0h4eHx2YAmREFvFeXasdN/aHf5RQ7fJP4etlXAAJhqEVmP+t3FswIbJzQ7djmi5cvUOFhXZ57ONI3Cpeyep5knq7SlK4CGrLwDxPikElz/e233wYQhBBK50OZKtblTCyTrrhKVbpS2L5y0XX6vIHAGE2FGq8lKGqgGTTPFTRgHe9K1nRWXUUIkg5zrgs5faTTMoesZiNJnU2LcamsIsIuP7eyltVOsm58RjJC5nPlQJBOCEDg/cyHKzONudQhvAba33a8WrGMlA6TWH+1YrRkLH8WMpc3rlf2Pvqtlmk3/1p5Kp/2shH3WNfB5QG3qdJ6+2n28esjan++HNwvLnd3tixKEi5vbaqDjONEUo+LSNxy+axj7ISxAIDOp3VWx2mtgsnpnRTOIGcobUcmabMcEycrWQ5/DvVDhoQUFanx8vnN2idA241pj+W4IdOWY5D3REYPcBxuLBiTTB8Etsvny/a5XU5OnJTC0Qvss/S+5r7czucmfUPI4iXT5bsjn7PUaPD3kpINYns6dsnHmM93WM4TIoOhOXtRfAUnIGDQRjuXJTObK+d0q1atnOfw8NiS8Ezaw8PDYzPAFepGSNGVAsSuP6pKCxQI1uvtxa0o9NIOa7crHfgoFI3u1t+c46xhDwAITBQU8lxqfQqz0gYtGa6sOU7TCW3OLDQjwdDEE044weqPyxyZrfCGi3nzuKdv7QYgEEgLFhZE9zdOpdQa2NdepaEu/JQj83XZpiVpknHYLmyUTTogMLadJw3aiNTvL61TrCCvKD4O2uXdKxme9PJm/CUQzWlMduBiifLhN7r0VgBBTGYQ3mBX8vmz4GAOBqF23JCe03q9fg8Vr03nEhMyIO5RsyvuAADMfVLZBcn44uI/XeEM8v5LO7fJhlWfTIgt8g/prW3nx3Whf381icz6eZbVH+PdnePgdZkJ0xl7wgn3kffp0xu7AwAW6cxttP3T6YeTmiuWV4bXcHKiLblTp04AgHHjxpV7DR07dgQQ5JSX7RH0seB++SLXgMyTDQT57OW1yAlQXhNVlIwo4H2kyjRoR53HlJBMZ+zt6fhMgkTSaEzsWr8J3lsXczYxM3aSkEQmGDcmv7I5lxpjp1zaxWrNVU0pOJW3RXtULDyT9vDw8NgMoHo+KRmU2M+QEL3c8RC9hxYIVv5Hpyr+WQvcrWwhOz+fJj2yS6bDVbuHGdrA687W+9pe3dmYqcte6rJVyyQ72UBnRZqZpKOvy4mYgqQkXS4iYoqckPnXVf2stjhwsGUBlExKC5n6thfm6TBdQyJyIw8uW3SEYSdyK52R00faOO8KW6GRfIVDg3Sb5/4y4xCRrXIJHxRtYUCgXvnLzarqlPQIDvrOzqsFvanBvmuP1JQ+FwcP7XHM+BQX41oejjvuOADABD2IOw17U51Pn7dAv2jJfF57nnXNQciAvhei4hj/aNDjFgDA0uF3q3b1PQ63JdVjrvsv7fWX1tN5w0vic3zLwRgw8vKZtLmCLLbkTFJECTgqF5nqNKLubjpU95q5uAnG2VPdxqXMCCb7SCbOSYIslfeAOdjZl/bt22Pq1KkWwwWCetNkxjwP2S/fGXqNczy6EiQQYZs4vbrZRy7ZF06sMhyHE+3vv/8OIJhAebypViWfl9MjmgzbnmiZbyGaFjP+Hc5UsbVeCZFNLBOTxXtp41rhQzD0NfUeXnjycVbbufpneHhsbXgm7eHh4bEZIAWnzvWUwDR60XruoBYUnoVwS7NB9UO0EKTbZWwvUxUnCzRzLqDwrfZbWXulXg8YWt0yZcaRNl9XQhj5uwzD47okXq5iK9kgQwfDyXjC7Wazkbu8vKVmwPQz5CEgTR2BEFl+GVind7f+5cy62patt2cy8SaVbMjRuzuexZlr07anUi1RM582j+ONp+rBxahdbvdc7tSnpvnt85sU46BdvCxB6ZqglG1vTwkWyLjZf/c+EwBAHkJvWzLrI444QrWnB+G0aSorV4cOHQAErISsgzZOcx4O9hI7n3ZhssDqJ73MjVpJ26RlbdmlVQfrdnTu5j56QAwPvHslg5YvkhzQkbre5mbGM1j5PtLr/7tdz0MuoJf3WaeeZbVrGLBeJIV9MZKKUOThJrMj4wOCXNysHgb9XHmMvAc8Vk5O0nubWiPaork/722LFi1QpUoV1KpVC8ccc4yx68qqbNQM8TiOP5c3t0uLEVZTSi9thr3w+S5cuNDqs5z4pApT1rSOajbivbVdmcaM5kS+u7X1OA0UZ/bvUk0Y82FY0qim9ZvpqyM7nut+eibtUdHwTNrDw8NjCyDiecwPP816FJZ5AEmJiMOVgkNKOMkWaMFyx6XK1LKmbpA+maRB2nClg6l0GqUwSUHNZROWgtvuu+8OIChEw+RLt99+u9U+bdGrhLDM36UjMAkGt/P8NC+RFMk4cBejDt+jqgt1cRvpnS8zh/EAvX1Dw/VW2xJ5G3R+cgepyVUAzOkjnUqpG5NOU7Uhvb3Vg7pruhJ9VwiViHyg8sbTk1rWTI4ErCcCdUGb23ZSx0DFFRvPUqh60EjEe5QG6+rGllabbfWRcbI8J/skBzu1Adyfdj4yLdoDuf7t7ZcDAPYbYKepkwxZ1jemrX1ZNZXb2ziJONQ9YSYl6wRLL19ZOYnXxIE/YqVKa9i95gzdN/v5SQa1sayDtXlfeOEFAECHI5RWwuTqTup2HbGrrqT/hUXRMnicdBo2bAggYL5k1mSyUo3He8PnxXtGBs2xyu2slhXOhFdQUIB0Oo26detitq6qxWdiJg3tByBrOGersU7wHtAzGwhsyvyNWetYAIL3RNrLZSpHvp/sE699ypd9AQBH7vegPo6aEP3xSUhVJCdMfSJ6ZTsKiYvw6Ag43Miaw2pLEx8toieyl0K01z2T9qhoeCbt4eHhsRkgP+f87p9F2/RiHcpozIdacJCsL+IYSaHH9gqXlaMomobTAIdNPuF9uaRQOVcXlOG6K9EU26PpkuYYuS7JTDh8FggERQqAMuyTDpRk3BSSpbmJplUKuXTEJNGQ2gxpAgKAsmb2fQQ94Y2gFh9K6CowZQQ83b40wRK52qhz+kif9+oXAICXuxyqriFpS/F3TlMqi7/vNRIAcO+P5wMIbihVENI2ygfEgcEHRIld1qENOS4blKUl27pXLWpeaP2eWqzUIUb8rqUY1Ec9rgUA1NGMWNrLuc6HKmNLORikzVKqh7jfN//oBQDYf8BT1nWQdfBBL6/2rHWefGNftgcdvcKD5PCheyOqHcmk9wN2v8U6R56wYUNHKVQXGaTI8mU+7L4fqMxgaBbpSrlgvz7976cAouq9g4UGxsTnp2lb57NS4+aj69T4C0cD1Ndjic+Hz5PqNo5BPi+ORTn5sG8cuzIrl6xrHlazVatWzbQv82bLPPYupiwZHrdzMvvtt9/MMZzopEaFE608F9vkJC/jorldam3SZjzYGg2ajhMyCiQLcw5RbADAkoY1rXVCVmezmHSODDhaGhG6LbWdmcbGj+8SPdjDYyvAM2kPDw+PzYIIl1b/l97emlEnpSmDQrLDxEHwd+aApuySFKaa8Lkl26MA+9NPPwGAMcNQgKMARsGO7bAkLpP+ULh0lh919IP7y7TO0pubTJnCrCRBFCQpkBJ77LEHgGiqWyLspCxNm1xSEKcALh1v3Ul6VNtP56t792axclp9tWSctf9133+sDtjzNJSHnD7Sffsq29PL8z4BACRAz2J14bfso9lCQl3sTZpR52nW8PwqldT83GrKfmxyLherm3HPAuUN3PKqGtZF0sl41Qt2HGf43GXS9sSsV6ueBwB8PUDFw8rsSWRAtbVtUtrBZaiBtNsGfbRtkmxXuvzzODKs7+68AkDA4A69dwQAYMWOikEX5pGJ26wlYeLBzZ0AEKrS1C1Q4xiP5ZQa2DVL1IvV86Uz1O8p8QKTIUk7vjmTfs7UpJDN6d/D9b43Bldcoe4FbdPUvETibrnUxzFXPGPOP7xWjSNm6wqr2CRr5POjhkNWjOK5OTlwUpKe8bKknqxaFc5HX1hYGPEa57VR/ScnPTlxyGxx1EIw7jtsX/7Pf/6DMBhzLYsi8H6zT7Li1ieffGK1w0gHWZ86GnMsqW9GbBY2ar2+pEZNtVoDsTA+C2TQZfxYhc4nyTo1xw7btK8f7VFZ4Zm0h4eHx2aAyK1jIFkcGfVzecv1ceqIqot0Qh0RwpYWjpkulrq6jhIow3ZoGdZKgYplf3/44QcAwAcffABAJd8Boulm6dDYvHlz1VcRz0xsrKOdTGBFwY8OnmTK06dPBxAIjlJAZElhCrnNmimbGx17JZMPPxPp8U6BnSYp3oMP6imyeuj8B8q9lo8aXK3b1YJ8mWq/U97JAIBURp1nzZqLHXfFxkZ9pMvKlB21IN9WiRijvLCX8uLP0wy6rERUudLDeee+iqXQ1knPbD64GuczR3gUtKOmE7TR2W+KZAdkThzIsmoWl7K6FJGtDi0h6w0TMoSBy89vUg9s14G2rdHEe5vBFZ81LM5NgSw88JK1j2GShJCbvlqIalRmu3j/aIPkc7vwwgvxZ3DuuecCAF599VWrv1P6dtHnVx2gNoKsly/ywvnzAQQTCPcDohoNGcPP50rNBuOYCammk+0QkglLz3OOOzJe+l1w6SpiLycZ9nPWrFkAAnXfxx9/DBfoHDRf36drr1X+GI899hiAQFtAZk1NBNdZbpDvhoyHln1OivGTNrm9pYONfod0PzOyulaWTHNxITAy02BQ4r58725p6/e2aI+KhmfSHh4eHpsBURZpC78m45gWHKRAlmpSah/tCDWUJhC2U5wsdvaN56CAxfhlMmhCkhAKaHvtpcIxSXIkA84Vzuxdgs1SCN55552t89CGbpJBFdrhlmS/DEWk8OsqKhRui4I8BWAuP2mszLWsL/xenT5WWzKUMFEqhVVb0Ca5obNnNmzURzqIDdXsEzbjCjyU1f5ldAJgAnMtIeeZgtvCycCYsqRkrQdp6MamZfyj2Id2KoLB7hzQUm0iY0ClTTBb4nmZHo+Q8a6SgUmGv+AWpdZpdMfeej9mvLIfeODNHW/XU8fAOiYyWPR+ZsCK0IE8URpAVjsig+7+9kVqh3OxWXD66afntN+ECRMABC8knx1tr+FwDbJtVww+46b54siqVrLmMp8jNTVkyPJ5y0lM2qr53LldxkFLT3eOWzJxqSEoD9QaXHnlldb23r17W+sjRyqfEk5wrHG96667AgBmzFBx80GiC3tSivpP2HSWRDkR+ajRzyRayS10eMxmh54ZwcSZEezd9bHgffb1oz0qCzyT9vDw8NgMMHGv0jtbMGoKBjKFbLa805I4EOWlMpWMl4IsHSIlZAIqMmjapCXTluu15l2i+gBbSK0xx7a/mnS4TYZY6zJ3ONungMj1mTNV8R8KqcxwxuujkE1vdBe5igP78llTlRgrKIEaLyXKdMZS9iQpTZrnrvrcTwjLLmzUR/rbnV8CABz4x4UAokHb4YxgQEgtI1itDNKXxvygvjBVIGTJgYQtVT5cfnGzenjG27qgqrVOyGB7rksmTcbDQepyw5fev5J58TgXQ+I62d/S25Vah6ESTe7aV98bah/i2Uq4TF1AkPmbHQ8t446lbTotnoth0Fozsl6zOtqStzZOPlk5YtCmKu3G4RdTVrlyJeanHZaMWmpcZIgKJ1rp9R8OJclkMshkMkin00Ydx37Qhs3jZDw0IatzcfKhg4wZJ5r1AsBLL6n3ld7YdKLJBl4z+8oJj+yyadOmAIKJ8vX31cTcqcMw694Evif6GtL2+CqHGivIuVHalyWDDt2ypNACcaJNCO2dq4b9xtiijz76aADAjLVq7ohWmxOqXb08LZES+9nYEpW5OC45vsMZ6oDAQYvn5nvDce/qE5G/4Qe7vZ/U+3H8pfGanlRR+eFHBJ+LTHriqphIbZBME1reveNv/AYsy/tRbXcfYK86dnO9y28VH222TZkyxdkvz6Q9PDw8NgOarVFCzYbqyt6b7YO2SC8Tjtm9Tnp3qx2XHZeI+wDJj5OsJiUhhcdsH2dT5rREfZylSSyRVmamVBmdOG0ykbf+ewBAaWFrvT2alCm8nf1if2jGokBJcL9spUjjfjMpost2AwD8WKgEgrplv8cez7u+JNnMWjf7y+eykULWJn2kv2g6HABw4B8XAAAKCrQdLWlL0EEJNjuOkTfutY79AQBl2jqaFNVtykwlqCgjN6xat/XdnerFqFFcwzo3IdUdQRYzO8OYZNSUJMmYGFzPdXrKkoE1btwYQMBsZM5nyfKk7ZL3TtquF9yiqm6RaTW56y/W9cRlHpPVqgLbod5X72f8yOVkIBg1HR5K9LV/1NTtSbw1MHiwiteXbFcWCwACjQaXkhnLtIPUjMgqWFIjIm3BcjIkiy4tLcWiRYtMXfLDDz/cOj8hn4FL4+NytCFzAIDzz1eZ11jtKpxnoDzQS59MnGO+c+fOAAJno/79+1vHPfyw6stpxwwHEORJYA33ZB7ff7V/RqiBpZe4rFglV804dUQvAFGmZXLji9huYvr0myNtZANZ0CuvvAIA+OMgpdkJoitMsUL2XCzkx1ctTy5VmgmZvVBq41xFM8LHcjwyacl7770HAHj//fet/Y855hgAQTKQ3XbbzTqnvF88Z+35SpvC96VEV/vr1OdrAMDYh9R8Rf8l4xui56LF9VVNA5mshJDq+l9++QUA8P336iM/ceJEa//zzlM5E6hFoj+GqZkQE4LF3xiCRQGgZ311rlPX3Gvdg2DuVsuxVftb651W32u1z1PyHt2w+xTkAs+kPTw8PDYDpCkjCDmjQOA6MhP6f7DjqzgHAHDUwkcABOxQhpFmY9iqL+ojR/W2/DgTTKpDr2qXLVfatqvpjzKLMa3fYKujZZEW+aFje/xIuxz8ePxOO+1kHc8PH+OlKaDLdsuD0QpoYah3E118KaPWx1e/Qe9n257NcSY9rVqfUEPtfzYe5hkAAE3+rR01d8/aJdVubrvF44umIwAA+/+mbJK8gck8O0eviEAwF/G3sUrSIKNO6yDvtMjFm5Y2UwBf3KKkG0pI1XewQwP4cAhp7+bgkzZjl3c2KwqNHj0aQJDBbNy4cdb+ZBccFGTU0vuXcFU3ks4kZEqMDV7yD2UvYZgAX4LdHj3UtB2wa5ulP3bWywCAXiPPsPoSqKps+w6l5YsnqfR2FWWDluAz/vDDDwEEiRjiPJ15fwiZAY6/c5zIOHpCelPzOcvKUVzOnTsXGzZswOLFi038NxDNVCfHp+t3ydRN3XGRIQ8IEkKQGYQLL5SHBx9UVa2oHbr66qut3/v06RN7HDMTAn2t7fQZMAybTDCgwOFFkOs7Y3tmS0gGGmbexn8iRe2PGitvv3gcAGDatJti2/TwqGzwTNrDw8NjM+Cii1Qo4gO/qNS+ktBK5uXKICaZtXRilB7Y5dmmpSpX2m4JOmFSvS2ZZyRFr3DSDJzl7NrLMmtaxJxToK6B5EM6YLocvii8kvHLgkiSDEnE2e9lYZmHlzayrvnKprOta4oqLChoq7WzMVDtr50YmTwqXPgnF2yWj/RXLVXO5VPKlMs67R5GYqaXZ0Cl1bp+cO/3nwoAOPgu5TzA2/fxdSoeMy6DVDWoh+qy4UlvTT48Plxpn+MgJjujaok3lEw6G5gkgLV7pTqGg9EVryvtS5Lx8zrYLtvjcvb1X5u+sO9SjcM2rv78GqtvvAcPtr0fANB9ogqb6Natm2qwggk0c3u7nF+khzzvCRDcT/ncZby6THrgSp7P58KJk3Zb+ii8/vrr5hiZ/B8IYpBlhjIZt++aHF2an7AtT74LnHxcoF2vTZs2AALV6PDhwwFseka5IA7bjsemT4F0UtrjcFU73VEsy0wQaUb66/Vw9EdKh7nstLNSi9bFcwCAgwdsyhV4eFQcPJP28PDw2Iyg0GtMJzsooXjtKiXQyZBUOnSShR70x916u2aTBbYpxFkdK8YzWpIVmmEImogYDy1zXct2oqlfdR9X2vFx3G/ZBsVG6RScWKbJSCO9+1K1vebiS632Vu2r4qddcdMEBTvaqKVw6/IWDyPqCGaXZqUgfkbqAX2Far+XM31ES7bZ5qWE/XtZWgmOH/c4NWufwtisH+nxeWpwoWX8708//TSAKFtcCOV9+volinEwb3K9mio2WebXDh9LyMB/eQwfpvQ8dzFW7u9Kn+cCmRQHDbUArjAKWdvXVLMSrEfG0ZJBSeZFVgIEnr7MTrVgwQLrWMnKWI2qEzqpBrrldMlbDbSFDxtme70SsrpTGLy/vGZOVq4QDZlbXWo6+OLS3stx8uabb+Z0LYy7d9Uvl5Or9EZ2aRHC1yFL7F166aWxfSFTPu6446xzsAgDj2fubtasdrWXKy655BLHL2cBAB5//HEAwbM74FilSXFVtDqwZbwzlIfHtgzPpD08PDw2Ixr953IAwIrjlG2ayZgKqlCo1CYTCoCmQJFa3lJTeUybKkqaaT+zRNFPl71VMm3Vhi28UeBhAhaGWjF0VNqCZZsU2Cik1v/xCn2N+tpKtDC7wRZu81boMLwifU3LdRUr2KSD56v29UWx51+yxyDrHvB3kh16p8c5UoYRFmalOZDkhgIzPcWZOYwCcpf0QADAS+k+uh1pd7cF6as/0uu5ZT022KofaSl5Dxw4EEC0ApD0rJUxxmHIjF3S61am0pNxktKrmnZMtheOtc0FDAGgXY/hEvJlkYNS2iQ5UMiG2A9pQ+X+5b2gvBfsC18wOqTI3M2VHTJWWW4nu+W4AqIx1LwHskoa75X06pYqTK6zD8zGRQcc5hWXoHqROcGlY4z0qHdl1nOpOsPaBZmdSeKRR1RoD8ca7xsnOnp381p5Pze1bvjGgpod4qGHVCSD/EixfwfaTuUeHtsFPJP28PDw2IxgWCQRJBGyHflGJ/vr7SLcUpb+1fvTdJaNaIQhHWppSqQTLs1yrgItFIB4jlrTegIIOS6aa0yKpTpvzcQcvUdtazvtt660ntwvnSb5UL9X/1aFgS5s/Zh1HTJ0UiaHKi/jGO/juVW/1fvqH5QcHRRzyqjSrmelH9TH6SpkadrNZRY326xL59KNRYV+pCmZs0IVQa9kyTLDg9BVB1oGw0sbrhwMksnIwbYxidnDiGM2cZC2RhnaIONkXf2Js8fSFk3WKNlbtjCFygoyOU5aHTp0ABC1E4fvBZ8D2SWXbINL6XgiNR6EHEc8npPeCSecACBqoyY7lb4Ksl3X0lUPWR4PBIkmLrvsMsSB7xBzc0+aNAlAEJnAd4ljkIw81yplmxv9+vWrkPN6eFQkPJP28PDw2IxgKdCH56rER/lCYB+V6Ke326l8EyItsjF9aMGL5IUCuRQcw06jhBTuyaRljm7CVK367hLrXATXGO7GpDHS7GbCboM0auyRdf5A+KRwyTSm+kwJ+zxEvR+UKWTZXk8BiKYTdcVZx4VWnl30X7WtTDiRCvLN5zM6T2lAmGQnP02NhnZKZkYyY2K1HXM3Ftn90z08PDw8PDwqBBXCpJnEQNYolYkdqK6jyjHsCER1IVV2suRfNvWgK2mFlMToVMPE89zv22+V/YKFEihJytJuMjG9S21KuApuSLU3VY9U8VJ9G64Ty/vGeyVTk/LePfus8kJlxqTKDqafHDRIeXryOmg/o7qbIWdA1CGQz4n3Rib+kGFcclzJwgWyNClNC0T16tVx8MEHGybD80nHx2yVkySkeSTsJCZtoy5cc801G3VOj9zQYEovAMDSY1Rylpd1utRkQrI8tT8L2GREDmiOESbFkQmaCJkgKQzpGOuadzifMI0qs2TJkrhktmSNkt3n5WjmIyM3zBl0CrXfR1dyIVfOb0LOt9LxEwAeW6CqV11ab6a1j3wVXaVHZaaxTJk2tep7fPG/lIMuemCT4Jm0h4eHh4dHJUWFMGmyXrIYSnmy7B4lQxmGFD7G5ZUoGbOUyFzJIuTxdPRp0aIFgCDJCJkQ2T0lVJY4zFaC0FWqUibNkL+zn7KQA9ljOE0k+8T7LVOKyuId2xp69VJM5cknVZk7WWY0nKeYzJkMV6aHjSsxCbgd/yQTdiUZadeuHb799lvk5+ejevXq5vwy1Mol8ceF1oXXpeMknQUBd6gUC15sa6F32xq6du0KADhknmJ5+aZQSLyWL3AStKtmcb9+LVWipHt/UnOSHLvlIZvjKc/NOXZHzWxT2p5q2H8ynkkTQV9su658v+T+0lHXvA88Ph3/frmS+hDy/ZEhsECgPfh7Yox9DSZHdyJ23aX9Kkvqspqfqsxip/TYRArNa/hTR3t4eHh4eHhsMVQIk6aXIpNpUCIkq5AFH8iMwiyBNgjatblOxiSZqYuJxBVKD4MslAke2Af2mcyZjJtMySXlSnuSZPQuBsd7waIHtE9J23S4gESZqLoiK8zwmGyFFyo7GGLENJIydScQLS7i0qRIyduVL1nGn/L5cOzyufD4/Px81KpVK5L+NeI9K/rhCsGSmiS+IwsXLjRtubxJc2FeHpsPl7+j3i9m9eIY+H13lQu68dQ+AIJnuP4vwwEAxVNVXl45douqKi0QtUHSXyUum5b0tXFpfmRIqIRk0CYPOclnUrSrt/90mJ0Gl8ycVbDy84R3uDD7tlg4UDWn+zdzuSpVXEuk7ZU+Iy4mHb5Hi3bW8wazpmVJHCQhtbW8h7kWZcoGz6Q9PDw8PDwqKSqESVNilKySLFh62kqWEj6WS3o1y/Sacj+ZpYdsS9pEpE1Yeu2yz2TSMt+ri7nz2mW+2PKSUgCBfZFMiYye56NtPFzOk9fE+8Yl7U5ss2fPntgewGcp2SUQjA8+J4k4W1UYkslKJiK1PdROFBQUIJlMoqCgAHXq1DHjy2Wbk+26ku/IccNxQe1UeWAcr8fWAQvDvDavCwBgHVP/ppXPyMo9dGlO8YxL9lPlNVP6PS5hQh4xV9VbdZt1XFgL52KWLnZoGOnuI60+0XX59wYqxpvFTVzjtOUUlV1raVlD67ymYA1jxHU+bGnzDjzg1elnN7oaANB8/kMAgNZ1VMKdVYXMc27Pn9L2LjUKYY1jPu3gUrvGa+I18h0V12q0D7o9zgWbGhct4Zm0h4eHh4dHJUWFMGlK8q+88gqAaGyxlIqkHQ8IpBgeQ5bIFIcuSUoyEnoAkymTkZKNSYlTVl+R7F9KrgT7R1syj5M2UlchDskEZeYg2b/wPZBsj22FvZ+3B1x9tZK2H3xQ5dYNS8uLFi0CEBQZkYxaMgyX97ZML0vbM2OSyaS5X2FhIRKJBJLJpIlmCEM+I1mC1LU/+8vxNHfuXADbj1ZkewTfv6Rgbib6NpL/OrfljzX/AQDYe+0dqp3Q/OnydnZt51ybX2b71PzeUGdJS+hxKbyujQZI26pnd2gCAKhaZwaA6Lg1TJw2bW3LTmSS1npSM+6kzsq2vqpdLKY4X/kMuXxFXD4+4e+D0Z7yvnIOl1nRJKMWzJpz/OlNR2NzwjNpDw8PDw+PSooKzd1Nr2PJlCmhkG2SXYSzKTEGmMxRxrdynfZXWWqQSzIfmWFMekK7bDuSCWe7VjIf2k/j2FUYUgLl/vQ6Z7/Yfjg2ltKkjB+mvXRb9+p2gYyapVCB4PnPmjULANC0aVMAwRiTvgguXwbeM45FWV9X2qnCTLqoqCjWJgYEz4bPT5bOlFEKZM7MqhbONOdROXFmi1cBAP+c0xlAdi1aJA+1YMFBjml77okrVyujXVxRLZxX5ta4Rrelthck7FwKhjnrmGCQEGvel0na71NS5CUng2Y9aWmD5rUWkLiLe+LyOco2b8dFVZAZG58A2vz174b9O2zTKb1e6vBn+bPwTNrDw8PDw6OSokKZNFkspTtpL+R2meUr/BsZCJeUuMi0KQWxDTIfuS4ZqSv2UC5l9Rdp86bERqZDRsd16ZFMBsX+kzmTYfF4WVKREnCY0fMaeU1c0m7vKmG4vaBPnz7mb8ZQ03b8ww8/AIiOOZk/XtqKpWQuNR2yZGitWrWQTCaRSCTKzewmmTy9tbnOY/nO8FmyX9v7s9ye0LiJipeeN09lEDOMOkt5W/NmS62dngOmVr0JALDPujvNT9IGLTOPuXwxaDeny7KJi85SShW2i4wTJj85WWyC86bur/49lVDjm17fMjqGyNUWzX6GtYilhXaefpemQmbuprcS3/nNbYsmPJP28PDw8PCopKhQJn3VVVcBCGyHMtsNWSOlo3A+7DJTncW2uRDSBkNplQyVtkh6OJO50GZML28piUrG45J6CV4DM4XxeDI36dnO/aVtRcb+ynjvuFhysi2e+4ILLii3r9szGLOYa97qRx99FEAQF8/nFPaeB6J55SmhcwzXqFED+fn5SCQSsXmTXd75bGf27NkAgP79+5d/gR7bDNrhYQDA2LKzAABJVq9ysN6Iv4vxpLbHTuvlt6jtRcFc6PK1kPkkZO6K2kuVx/jimjdZ2031KpHbmzZmmUteIiH4qMlTLipJuWobyOp07D/fG9e8LI8PM+lUNdufydx3ajZcObqF39OWgmfSHh4eHh4elRQVyqSJsO0QCFgM2WbdunUB2DZpMktXPKnM6CSZJyU16S1Nm6WsU0pIZi1tIJLh05ZMb2Dm+KYtVNq+pe3T5ZXO7Twv+03WDATZp7y9MkCulZ/4HCXjkIxEendz3PC5hpk0l+HjCenTwHHjGfT2C44ZzjGifpTTa9ssgx8ABJqzMOOTtmfJBmU+CFcmPDLlVGlK76frK5TZ3tnyPFVKWwEAWixU2oM5TZTXuMkspuOiWbdah10jP2lnJnO9N/kid7e8PhkZJJk4ANT6Sc2PS3Z5wjoH46TBe6j3pwaDbZ3R/JVIm5sTnkl7eHh4eHhUUlQKJi3BjGSPPPIIgCibAQIboSuTmCsHMxmotJ2QSdPrmnYG6e2brV6pXFK6Zd9dNbQJyaApbUvvS4LXKRk4EK1p7bHxkLY46bXP5xOuuAXYPgcy3jUMaUOjrYyaEY/tF112eQ0A8M+5ZwMIZSKj1kbv52LO3F73F+VvsRpK+xK2B0tbraxJIKMHItUBpXe38fLW1dg00y0oLLDOTdtzYINWMIxbZxBj9asgXzbPa/eP7wfnNPbXpSng/CkjW3ieGc1uM31KN1Hn2jFV1bp2MuYEtQl6f861pzR8CVsDnkl7eHh4eHhUUlRKJk3Q+/vVV1WmnrDnMpmGrCokq0vJXNsyVtXFkMhoWOUqkv1HSHiuuqySScvzyOpY3J/r0sOdzF4yaq7Tfg8Axx57LDw2DX379gUADB48GEC05rl8XtxOb3D6HjDLWCKRQCKRcFa14nb6FPD8Hh4e/9uo1B9pDw8Pj+0dpzZ+GQDw+kJV0tKoq2keEWkrqfbm8ocWtwMAWvygnLLCzq4kLzIkymW2k46w1RepsK5ltQdYxxkTpM7bSbW1VKdT283tOy9RTsEs2EF1uCx9ycId8njpMCxJE69Xpkn+tuFN9vWmAyWyuXZHSlGCzm1rdduoi62CbeIjffrpp2/ysYyLpY2QzJjx0gRt0JIhSW9wV45uuV1WnOLxPA+ZF70OGZ/dvXv3jbk8jy0MPj8+L04O1HBQ48KJceeddwZgV0cL2wMlg+aEQM0Qq3V5eHh4ANvIR9rDw8NjewcFvkjCJEcyk4xIyflb6/sABIwQAA5eocq2SgcywlXUIxJ6qEOm8plkJGk73vJ3MmBXmlBZcCNIvQnr/Catp96v7nJVhjOvwHYUk/uTHJH8TG2sNAGwSbGVRMj0VacmTYr7LwkVC6VsLWz3H2lXXOzzzz8PIFCf8AUh02WOZOkNLr23ZR1TLsnEycSkTZqDixnPfCxz5QQrahH33acmwmuvvdba/txzzwEA6tWrZ22nPTqTySCdTju9+VnNyteD9vDwCKPCvbu7deuGRCKBn3/+2Wzr378/dt11V+y4447YfffdzQTo8b+LDRs2oHv37qhevToaNmyIhx56qKK75OGxWXFWy7E4q+VYrF23DmvXrUOqtBSp0lKkMxmkMxnjfEik02nrXyaTUeQh9O+L2tfii9rX4oOqV+KDqlfi/eLeeL+4N8rKyqx/bDuZTCKZTCIvL8/6V3Pxrai5+Fazzv0Inpt9ab7gITRf8FCkr5l0Bpl0BmXpMpSly5DOpE1YVxgJ/pdU//Lz85Gfnx/pF/udSqWQSqWwfv16rF+/HiUlJSgpKUEGisyzv6bfiUTwT2NZZgWWZVYgk04jE7qvGzZswIYNG3Bqk1E4tcmoLfLsy0OFMukPP/wQM2fOjGzfYYcdMGHCBLRu3Rqff/45jj/+eLRq1QqHHnroZjv3eeedByDIbibjYWkjJLM2WYFEvlxZFYkgE+fxknl5bBxuvfVW/PTTT5g1axbmz5+P9u3bY88998Txxx+/Vfvheo70upf1zcMIO6JQM8OKZKwP7eHh4RFG1o/0/fffj08++cSEQQFKhZyXl2cKY2wKUqkUevfujREjRmDfffe1frvttiDQvF27djjiiCPwn//8Z7N+pD22HmbOnIm2bdvi3//+Nw444ADMnTsXf/nLX/DKK6/g6KOPzqmN5557DsOGDUOtWrVQq1Yt9OjRA8OHD9/qH2kPjy0Nljwcp5OcFJPtCc/rZZkV1nocjCe4sbvaJR8JmV5T2qYpfNZcouZm2mfXN7nbajcvzz5OemdzvXjO3wEApc3vj+03z99g1d3l9k/aoj+vpTzcUztqIVlbl6SdP2yZl0liZKKirZW0xIWsH+lzzz0Xt956K5YvX46aNWsilUph1KhRePPNN9GrVy+89FL8BTRv3hzffvuts92HH34YRx55JP7yl7+Ue/5169bh888/R69evbJ1dZPA7GYSVKeSUdeuXdv6fbfddrPWZQgA82Z7Bg3ssssuuPfee3HOOefgyy+/RLdu3XDhhRfi6KOPzmkMLVu2DHPnzrWEuX333Rfjxo3bSleQHdS0xFXf4VgJT6ac5FjlyvskeHh4xCHrR7pRo0Y48sgjMWbMGPTo0QNvvfUW6tatizZt2qBNmzYYNGjQRp909uzZePrpp/Hll19m3bdnz57Yd999cdxxx230ebYk/v73v1d0F7Yp9OjRAxMmTEC7du2QSCQwfvx4AMCgQYOyjiHGOjJRCP+mU15lx3XXXZe1pKmHh0QnHT89fO6JAIAq2qQiSycmRKxwmFcbD3C93mbJvQCA1SXqnaIJhkyZwibXpcMst5vkSrqkpTkfvbLZJ4i+svCGPs+Oy9Txy+rYcdgNV9+jzp9ffuirLGucFg69TF9K+Tg/32bi4R9Twou7Y6ORsefc2shp5rjgggvwwgsvAABeeOEFY8/NBR988AGqVauGatWqYa+99gKgql7dcsst1qQbh2uuuQZTp07F6NGjnQ9pS6Ffv37o168fVq1ahVWrVgVOGQJ0XOC/devWYd26dVi5cqXPvyzQo0cPTJ06Fb17996ovOKMaQ/fz5UrV5rY98qAoqIik13MclBxYOHChVi4cCG6dOmCLl26bMWeenh4bEvIyXGsU6dOuOyyyzB16lS8/vrrJgylZ8+e5uMt0aJFC0ybNg1HHHGEYULEO++8gw8//NBSBR9yyCF45JFH0LVrVwDAgAED8Oabb+K9994zZR09tl2sXr0affr0wUUXXYRbb70Vp59+OmrXrp3TGKpVqxYaNWqEb775Bn/9618BAN98840R+jw8tmdc2PhfAIChfyj/C2lakXHUaRHmBwSM89MaKqRwp5+uAxDYXxmKSoGYc66rkIV0mJWhhUnB/3j+WatmAUCEoNVbcad1Hu5PVkuSJuO9ZXpl3omEicNWv//f+qcAAO8WR0McTVnad5Sw3PGMMyL7VCRy+khXqVIFZ5xxBrp27YqDDjoIzZs3BwA89dRTeOqppzb6pD/++KPl6dqoUSNMmDDB2BzvvvtuvPTSS3j//fdNDuSKAgUMqlP4gkj1DcF46yuuuGJrdXGbwFVXXYU2bdpgyJAhuOSSS9CzZ0+MHj065zF0/vnn44477sCBBx6IBQsW4JlnnsGwYcO2Qs9zg6w7LuPhuU5v/zlz5mzF3nl4eGyryDkE64ILLsCQIUMwdOjQP33S+vXrR7bVrVvXhLHccMMNKCwsxK677mp+v+GGG3DDDTf86XN7bH289tpreOutt/Ddd98BUE55++23H1588UWcc845ObVx22234bLLLkOLFi1QXFyM6667znt2e/xPoXvTtwDACLU7nPoGAOCEtBJW44hDYKdmljK9bGyb7mb8PANAtCQumbU03XCd5IWMl8fXqq/SLycKdJ+qq2XLqi0BRG3eQV1OWO3MWTHH6o/MhFZcoL4ZRdWV+ey41LPW8SbpVJ5a/7/1T1u/h/ve/IzmqIzI+SPdvHlzFBcX/6k82i5IW295IQVbGzITGdU/VJHIwert0FF07NgRHTt2NOvVqlWzktfkgqKiIgwdOnSzCIlbArIwgdSwcLzQ69/naPfw8MgFOX2k0+k0HnroIZx99tnePuzh4eFRgQhSx6rlH7/+ASCGnQKGoUrik8yzva/3aq38O1zVpthOusxOg7xjFeW8WVZNCaGpMhWCGkl/m7GZrYTJ+c399HrDOg1Vf0XcNtcZ8irTM0vbNkEytXpN4Ce1y267xPapsiDrR3rNmjVo0KABWrRogbfeemtr9KlSYWPjV/fYY48t1BOPyoxcE+3svffeW7gnHh4e2xOyfqR32GGHiHe2h4eHh0flQJMmTQAAs2Ypz2n69gAh7+ykyLglliZ/dhZLo7T1RjKUQa2XpWyvazJjMln2S9afjniJ59mOl7K/Zsl+wa6exe3MSEZ/qAaFDcq/0EoEn2HBw8PDw8OjkmK7L1Xp4eHhsT0jUag9p3dtCQDIlAR0eP78+QCAoirK+zk/qaZ8aZNmSrK0LLzMc8BmvMYWrJlsQb5ixobBJuIZd1laMeWSUsVsC1FoncfYlpPMsW2HMhJk5mT+snRwWcbOHtaoUSPVXuHWTYq1OeCZtIeHh0cFYvLkyWjfvj1q1KiBli1bRn6/+eabsc8++yA/Px+33nrrVu+fR8XCM2kPDw+PCsQOO+yA7t27o0uXLrjrrrsiv7dq1Qr33XdfzomjwmyxYUPlHc1CLlWrVgUAFBQK5itt0oJw0tYbsSFr2zPbkdWpCMvjHEDJhhKrPWnblkmATD8ythe4LDFM2zNDZin0bIsMmvBM2sPDw+NPYNSoUaY+QbVq1VBUVJRzCVYAOOigg3Deeedh5513jv39ggsuwAknnFCpctXnir323At77enT9/4ZeCbt4eHh8SfQuXNndO7cGYBKZtSuXTt06dIF99xzD+655x7nccuXL9/ifSODbL6LyqZFe/XcuXMBBLHVMg5ZZv6SzJb7BdWmbBs0vbgH3KSqWzVoYHtT01aeKk1Z7cm6z4Q5j2bQZPBkzkw6xZTV2zJzlvAfaQ8PD4/NgHQ6ja5du+Loo4/GpZdeCgC4/vrrK7hXHts6/Efaw8PDYzPgxhtvxKpVq/Doo49WdFecIMNs3Lixtf23334DEBSKYSlZ1nNmnHXQkF4wblnYhslsmzVrZp2XaNRceVvP+nmWdbwpYKS9u+nFTa/w0hI7V3iLFi1ir297grdJe3h4ePxJvPzyyxg5ciReeeUVk6jjrrvusmzV8p+HRy7wTNrDw8PjT+Crr75C7969MWnSJNSrV89sz7VyXzqdRklJCUpLS5HJZLB+/Xokk0ljLy4tLUVZWRnS6TRSqRTWr1+PgoKCiMf0xkAyzrjQLwD4/fffAQQZwmS8Mhkw46bJnFliOBuzpQ15Y7E9MmYXPJP28PDw+BN47bXXsGzZMhx++OGGJZ9wwgk5H//++++juLgYJ554In7//XcUFxfj2GOPNb/36NEDxcXFGDlyJO68804UFxfj+eef3xKX4lEJkchUprqQHh4eHh6VBuHsZbngf4nhbi14Ju3h4eHh4VFJ4Zm0h4eHh4dHJYVn0h4eHh4eHpUU/iPt4eHh4eFRSeE/0h4eHh4eHpUU/iPt4eHh4eFRSeE/0h4eHh4eHpUU/iPt4eHh4eFRSeE/0h4eHh4eHpUU/iPt4eHh4eFRSfH/7ioZLSbvToUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the ROIs based on the map chosen\n",
    "plot_roi(harvard_maps, title='Harvard-Oxford regions')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 28min 7s, sys: 33.1 s, total: 28min 40s\n",
      "Wall time: 1min 51s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "extraction = RegionExtractor(smith_atlas_rs_networks, min_region_size=800,\n",
    "                             threshold=98, thresholding_strategy='percentile')\n",
    "\n",
    "# Just call fit() to execute region extraction procedure\n",
    "extraction.fit()\n",
    "smith_maps = extraction.regions_img_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2a0inFrI2keDZ8jLWh+3rmICgXNcp83oRQCbbPz2TIS1J9BkG2zf52P2UFzJQYca5fP5GppYKqvxpPIp9HU5cNdh5LN4J3Pfry1/+Mhs2bBgR/TNWGDPHsXEcWfjBD37AmjVr6OjoYObMmfz3f/83a9eu5fnnnz/cXRvHOMbxLmN3MsCf2htI2tpr/KbgE/cbXNBlfxBQTPYUy6yZq3C8pu93u2/3KfxkfSinFnewpmc2b3YvoCdZC0DUGGK0u2IV/ODND/PtJbcCXtKJLyKJ1QjRg6YZGPrRpFMB1vh9rAj42RgK4dimexSFHkUZoebWZZtxG7pB73YPpiZAQKcI8vP1xyIkQdin8eMT3qLSm2Gs0NLSwuOPP85pp502Zm26Mb5J/4vC6/Xy4x//mOrqaqLRKE899RSf//znxxnrOMbxL4Y//vGPwJDndn6Ehs/nY/2Al7/2FoMqUIWBwKKiO8OkTgMZCBclka9OcI+virRs8kqnysWDOrVBM+dF7digHdt0JpPBsuDuXba3txASJ1clWRDsZ0N6Gy90VYAlQEhYwt5iBTYDtyzYNTiBuOZBNQxAxjJOwwI8igwKlFfEeToYYJehowLHDUYp03W6wmEiksSe7KZcm8kgW5DSNDyWhSeZJN0n4UkJYqpCUrL7LRDEUh5ejNVzdVnHMC9wJ8nTO2HUF154IUIIYrEYp5122pjVrRgN45v0vyg+97nP8bnPfe5wd2Mc4xjHYcTbA15+u60UzbIQwOW1HSwpiRKNRvFJAWofK2bXNT145gY4K9rHbW1BMqbgpvV+vn9sHO9e2l7TI2iO2+rjSybFOHdiklgszfy613mr/2RaMrUM+H3EKjxk/BICiDTKnGPt4tzJ9xPyRElrOqNtQ9tkiVZZAgPePxjlzF47BDRkWiwPBtjjt9XuSSH40mCUQDaJVCwWY+fsAX6+o4byTBoRNJlzYj8PvGp7le9MjU0WswcffJAzzjiD559/niuuuIKenp5DFrkyvkmPYxzjGMc/IRyPZccG7eRBUDw+9sRVNg96eLyrBEsSeCSDT0wfZE4AwD7OOBnWzt0DQDApmKIkeV9NCY+3h2lLSGyOqJxQPHr8tK7rNA8qOIq5voyEaVoIIdgxWM2gFqJHKkHMsZg0McK2oB1vXbxQozERY154O5YFqu/XJKKfwDB8w84TCwZRZBnhFRwbhmpFpV8Ibg6HWCdLORt6ryTzks/LWdlEj7IsM71W46RZ/by0pRwzZjFnIMJzJRn6Bjy8trGYv5dXc2HZUIEoR/Nw//33A3DJJZfs9z1YtmwZH/nIR/jiF7/Igw8+uN+/eyc44Ixj4xjHOMYxjrGBpmmkUqncn9vGu7/YsaWI7f9RTPqLQY79nMzXfxzjo3cn+ExjhKPK9l3m9szqKHI2A9ibPXv3pj6lVqcuYG++Kzr8/G5bEX0ZGUm2y0rqQsZXZF9HaXrIDhxJzkbL2IKF6nkdf3BkZrEFpoVz9gdUlU2yzNfDQdZl1dyhPLPdFnUk1zx9XhcBr923pzfU8aHpLciKiWnCLS/WsrynYp9jsb+48cYbefrpp3nrrbfGrM18jDPpcYzjMMLJqe6kf3W/7i+c+Pd8n4OPfOQjY9DDcbwbOOecc4a9//rXv853vvOdUY91GPTUqXYok5MFrHNDGRN+FcCrWTiOVgHg9P4Mum5i5DlcOfHOjre2M39CHkGFzyRiSXSm1Ryzdby7nXmZSCQQwGemJvnBxnJ6NVjVpbC6x8uC6glgWRiWDFhM6esjYZr0IxAIFMtLX/cNlFX9DFnuQPG8hJG2c2w787dMljnRsnhRltkqy/xItUv7SlicYlhckkzy//xeeoA0ItdP5/p8qsHpc7t48PVK+mIqr71SxgWzOnhody2mAb9/eRLBE2QWhxNUFAXxKFZuTN6pjbqyspJrrrmGb3/72zk2PpbY6yZdXV19SDKIjWMc+aiurj7cXRjHOA4bxiK3RDIqEbjZj5qxELLAu8hg8g4DnyphhQS9o9cbGhWGCQgoUvftZFrmNfnynF7+tiPAuqiJ5Gllff80LMAy/MhKHMOUiGQ3TwmLRbEYljdIOjUPn68DITKAiVuxe7Vp0SwEu/Miga/UTS4yTW7y2OpvgFNTo2sIjpvWy+5Oibf2lBNLKWx+K8wJkwd5ub8IwxD830t1NKQzVCo6Hzm1m8kVyf0an9Hu129+85v9+u2BYK+bdEdHx96+PqLxs5/9DBiZ49VdtcWRnpxax06GGuf7RMJW3Thxde4CIg6cHLEVFbYaZWS9VBuOGst5dWpjO+dxMvg47/+Zc86OYwgPPPAAMJTxyJ2DIN/Wl/+9k0HJmb/Occ48dpiN83k+k3bKtzr5l51Xd9Y5p22HjRSa4+M4vPjFL34BwFFHHQXYZXcBMv0KiR8XEUrbYUfaxRb15xt4P29bbjPHgClMMEfmI3DHPSuKgikkO2OYkHLz0JkzzvrkFOuJRqOowOXl7Zw7aQV/2L2YgXQRsWgthk8CWUezLDKS7Tg2OZ2hHHtey6Ik177i/Q1a6pO5OSqEoBz4KbBGwPOSRINlcYFl8bgs8QIWWBZzMxlOTiZz8dLuuX7ZCe1MrUnxxLpGNEMm0ixx0uwYK5vDWKZEq89LOCNx64parjhJcNSURG5cj5S83+M26THAjTfeeEjUHOMYx7uNu+66ixtvvPFwd2Mc+wm9W6L/m0WE2uzNLjIPGj6k4XuZXNrrzHveWVKqKSFb8FvbI6EXziI8AjPKtnNa7SosU8XQ/XYElgDFMPBmN/lmrwctuzGnkidiGDbFV9SXUL1/GdGmAI6y4POmxSUWrBeCP2XDp0pNi+uiUfZ1dUdP7uc/z23G77E37thWmYtOG2TSxRlKT9Tp9sgYJty2oorXtgX3/4LfJfzL2aR///vfA0P1Up2MO25J0GE0DtN1mK9j33FYhfN5cbFtE3HYicOALcvisccew+PxUFtbS22tHbzvSKhuSdTNZhzm5DAip19OP//yF3viOnWqD7dUN479w5133gkM3U93DmR3NaH83MdQuKqPM3+c+eKez/nHO20653YqFjlz12kjfw7u3r2bpqYmZs6cmWPY7gpHTt+uvvrqdzAi4zhYOCVwnTUtmPAT+ZEXb58EAnqWChZ+IUMw5Cfwlo4sWRgTwJohocfse+zMk/z1C4Y0Nl6vl+OqTTbuFiQMWNdjsahyaN7FYjEA4vE4MDT/fIG38Ps3E1LLsCwZIQSWkACBFwjoOlFFIYNgVcDP6ek0oDDQex4l5b/GsixMXiaTusZuzzfc21uSJGLALxQJE1BNixvjcXyJJKm863HmsnM9jqa0NuDhU2dH+M2TNZgWdD/vYeGnDFoWyJiNGt6/CWKaxV+eK+fCowZYMGkgx6gPN8aZ9DjGMY5x/JNB6RP4v68Qb7cFp61LJRZ/OYOiAlELeae9+WpHZ+nsO8CiMo1s9kxebtv38cHQemon2kLput5ZZNKVWIAhBKYu4dV1AoaBYtnE5B+lpViArHRQXPbHXDvJ+MV7Pc/fJUFfljdfnUoxxXgHNB+YNTHNtWfatQtiSUHLvTKmAUyDT53fj0cxsRDc++oktnUcmmIZB4JDyqQPZXUXB7/85S+BIYmroaEBGCqn6XzusAbHluJIgjmbSPY4h1k7bMFhvA6bqKmpAYacB/x+P5IkoaoqVVVVOZu22xbttpW4mZXbNuR87zD43t5eAH73u98BdkWwsca7Xd3lXwGOmcPNTgt5aTvzwpHw3ZqbfOYAIzUxzrwoVBXIaTe/Dec3DhN2M2SnDUmScsf4/f4R2h/3NTlaK7dN22ExV1xxxSgjNo53Csebe8oUOyGH2isx4ZdBejplLAtePtbDsZ9K4vFkK1W9LiMJAwSIRSoejzzCO9uZr+6c3IFAgACwsBLe7BKs7rKwLGuExs9BWflWKqrvRAjB9shUWvpOAoroDSqYkgyWoCSdwTQMQukMhmHQIwRPCTibF9E0e9Ps772c2OBMwmE7aYmjwXTms6IorMpmD5tqWbwnlcZkyHfH0RA4c89JLOI8X04776320Npv8dQbgv42ieQLUHmyRlFNmo+dHuHXT9QhJIk3dldz6TEDAPz1r38F4Kqrrnqnt25MMM6kxzEM72Z1l3GMYxzvDGqPzIRfhJD7JfozMi8eq9J6sWBacZZVWhbK01lBrlRgzj2wJX5BeTZXdlLQU8Dp2evbRkX17QhhsGuwnq+++H22DNayw/Iz4FMpmZihSoqzqMOucx/SNMLZzf7B6ip2eYuzLQligyfstT8m0JkVKOZls6cdKK4+LU1DlYEAOl+USbRKWMC0miQNlbZJKJF555XADhX+qWzSjncjjIzbc+wHDoN2GK27LqqbqbolQ4cVuOutOr9zM+VQKIQsy0iShM/nG2bbyYf7PE57DnNxe/u6mb27vUPteVhTU8N73/veQxag/8+Kv//978CQLc49r9z31e2D4M6BvC9264Z7/jrtjzbvnDacV7c2x4FzTo/Hk+tPKBQqyKDdMdnOq8NmnNdbbrll2LWOx22/MzgRKosWLQKgPFVKzZ8CeKIKCUvw7BKVp09W+VhF0q4eZVl4n7QQ2w0sIPMeGdU3ev1o5x4688W9rlXn/KcsOuIWwaA5rJ2ioiKC4U2oqmAgXcxrbReBKCEWkEmrEjNOjlBhaJzz4hrUdDo3d87bsIG/zJ6NqWa4uXIeX4y/REO6l74+m0G7tT7OvE7IMjoWAkGJZeW+d2uUHI2Aw5yd68mPkvB64BPnJPjY32whoe0xD94LZXw+H1Ul0Nyj0NJXxLbeRo6bPpj7reOPdO211+7/TRwDjDPpcYwKp7rLtGnTDndXxjGOf3soEYkJvwigROwle9VSmadPVkEI5pdmnQa3WfjutDdTs0KgnXvgbHBLf1bAAxqLRj8mlTyVXQOT+cRz/8XLvQESRVEiIZma6RnKDY2P724inB4ew1wfjXFB+xqCwRZSsoefhD7OKz37TsMZZGizih0Uj7ZRVGWhLMtu8B3w+D9CGCacuTCCz2OP4T2vVPHqtgIX/y7in4JJO4HijkQOQ1K9LMvIusTEliqidamcpOdIP45k5WYDzvduVuH2YHUkNIcduNv3er1Ikh1PKMty7vduhuQgPw4w/3s3Y3ef32nP0RgMDAwUHK+DwbtZ3eWfCY63dtq16LiZsTse30GhDGLu+eBOB+luz+397xzvMCG3N3j+Z4VYe/6z4nzm9XpzfXPHaOfH1Ob33e1v4fTV8Sr/7W9/O+x3H/vYx0Ydk3HYcLy5S0tLKX7NizehggLpS2SemFKEMqgyJaxTE/aAZhG6xUQyJSxVkL5RhbAYkQ/C7RPh3HvHduvMkdWdABbTSywCikU6u0w6vzdNk13RKbzQ8XmwBlmfmkKr8DPr1Dhlmsa123ZRpGnEXc9FUXEvV9X8mcbUfG4LXEp/qp5fVc7hvHgT8/r6cud31m0nf4Usy5SYMv2SYI8Y+t6Z945t2u1H4fb9kSSJTiH4bjhE6Ukm3VskqpotXtkcpD9Wx2fOjfCFiwb52cNlJDMy979Wh3yCzPEzotTX1x/U/TxQ/NMz6ZLuEMseWMSMe2tZ8IdJqJ3/9Jd0WPHggw8SjUZ57rnn2Lx587Di6OMYxzgOD9TurLAWhNRFgpRub74lHltg8j5mIdmmX7TLZMxpB74OtsehxY604piq0bOOretX+fbbpTzR2kiPVUO7XEn9/E6KdZ1PtbZRqmn4/C3Mmnsf8xb9lWCok2Cok2kzb0NWkizLvMZ5TU1kUsVkZIm/T53C8sYGkqMImQ7mZTfgtZJEpuBR+7g2IfiG30unJJBUuOqyFPPKbAF6Y7OXPz5dxORqjRvP78On2ue786VK3th5+OKnj0gm/fOf/xwYigd0S39gS+8Vm4tofKYST0LF8lgocZmaX/povTGKFRxuG3ReHUbjtOWwArftIp+1O+fLRyFbspshu5mNmym57XtuW7TzuSMZuvt50003DTtfvk3yk5/8JAeKd6O6y5EMx/bsRAO4mbDbBuxmlW4mXci7382g3fPGzVKdqASHObht26PZst2fOW257ef5Wh8hxIjfuZm0o+1xPytO+24btaOFcN7ffPPNw37/8Y9/fETfx2FDGcjOg2p77KXsrWlPShiGhedJO5enWQ/aOQfn9PRWz9B9P7Z65CbdGpf4zVab4Xokiz1SMQvftxG/lOE/mldRrM/F8O+hvvFPaJqd30GW7XsuyfYcaG0+m2ldFXwwsJWHpk0hpaisqaxkR2UlZ7V3cBaMUGofY5i8qEAGeEmWOO0dhmAB3O9RiQgBlsX5GY0PqhkGPpjkl48Usb5J4c0dPra0epg1McN/nNfDj/9u+zitWF/CtUv3vOPzjQUO+SbtVHfJnVBRRjzUB4Lq9SXMeLwOQ7cXhMjkOMW7giiDgqJXPGgNB32Kf3vceOONNDY28tZbb+WcV8YxjnEcWvzxj3bssOMPoqoqSkoBIbDCtjB1YrVGy26VzpTCms0BzozFQRIYZ6koPjXXliNoOcKko9Z2f+6QFiEEuwZtYS2owqSQhWUNCZ2JRJJfrS8hmjYAA8MwSFp+kjEv7/W9xNzih0mqDahqC6AhhCAeq8EyWwBIJ+cxGDmaVGIeoRAszGRo2LGLB+onsjMcIi4k/l4/ke2ZDNd0dg0jNceYJmWWRa+ABzwelupGLlTLgTt5kCNMCyFIAq8pCgI4zjS5yjBBUSgp8vGfF2l89tcKmi74x9oi5jUOMGOiweKpGd7c4UEz1Fw47IGUtDwYHPJN+p1Ud3G8Qevq6oAhiT00EKD21VKKtTBySiClJHy9KsIHKZFh+6UdBDapFO0IYBgG/bUxfHq2ZmpWqs+PA4SRGZoc24ZznMMSnOPcLGK0V8fDEoYmtdNOodzh7lzO7jjtQud3BB2nhqxbYwBD8X3OGHz4wx8eOeh7waGu7nIk4dlnnwWG4tEdpuoebwfumGA3k3XPA+d75346zNwdy+w+3h3F4GR8ctpx5mu+3dgQOnuKNtIa3IZkybQFtxPIFOEbLKIkXoMnHSYcr0ASo/tDOP8XipMupFVyx0u77fXunAXuBdWJWHDmvvMs/Lt6hXvbFQJ7PJQkPHiaJVDAzPoxnVmb5h/tfvrSghdfkTjZEPhkMGccvLlv24D92hgemQdl/YDK7pgK2PewzevFtGTig/U0yF0A+ANNmFmWu2v72XR3LSSVaraPb3Y8o4dYcImm8ZEdO9lYXMwT9ROJqCqbAwF+P6GGb1vgyR6nAO83TG5TJHqE4AZV5r0eD6dn9k/5vUmWcfRhy1wazaKAxUlz06xY62Ndk4dHVwd43+IopSG7n92DCi9uKubk2ZH9OtdY4pBu0mNR3UVOScy+uw5vRM09vGBPHlO12HpZO3rQYOoau3B3fGqG+IwMvoM+878f3u3qLuMYW+giw4bKF9hUvoqUEsNiSLAb9PZgZGv/6pN0PJqfCd0zmLnzRIIcefmK/53RWDqJxnsrKWu2BXBJljAxMT0WfSelEDF7U/pQA/xiUxFRLLYPCGaXmVjmcEHdHVLqJPlwSInbEbYrKWiKCixgTtkQ6XC0oct3SWiahq7rtPu89MsygSKNeilD+aajGayKIstJdB16e46mu2u4s5XbLORA0zTmR6PM2LqN++onsr2sjN0+H7dLEh9PDAVqv9cwWC/gDVlmEMHdwQBPBfxcriqcoOk5h0rnuh0h1uv10ivLiKydYIo10qn3/UsSvLHNw0Bc8MDLIQzDZNm8OK9s9pJISzz0ejVCUlgwwU7A4pgaP/e5z+39hh4kjgibtJOfetIkuxC4M7CZdIaGu8sJxv12TysktCoDw28hiiWiSzVK0qXU3hbGwsBSLHac2kUymSGUHm7Pdqt1HJbgnCv/ZsJIG+LeXvPtxm5vcTcTc87jwOlHIVu0O57bmYTOw+VU3XJPOBgZJ+tUYnJiEse9a+Ef//gHMMSgncXIXYXKHfe8t6xd+e/dObid9t330YHD4N3x15qeQVNTxBjEkwoQlIZrULr8e1jZcD9Rr31vsUAxFbx6kGC8hIySoldtx5B0LMsirSTYM/FtOqu3s2TP+5nYPyvXB8uyhs1lN/MtFKNaSFvkHO9+FgtlaXPO64zFocyydySi9O0g4V2+YauzNsFk4MM6Wp2VY5aLyzTOr0+wtt1PyoCmqERdtwmzD/zcd2wZ2jxPmDDcHt2XEmyN2/eu0+thQFUJlmosnNbHdbt2Yho1tO6xs8wNRUHE3tH5/abJFXv28JdAgF0+Hy95PFycTOHkPFSBr+gGr1hwjyzRDPQLwa/9fl5WdZYaOnMzWm6MALqF4CVF5iElq9mxoGSUc5eGLL5y6SA/uC9MJC7x4KowU6o1bnx/Nz9/pIJoAh58tZz43CgnTH/3HGqPiE16NEgJQcP95ZRssNXTgzOSDNxgp7rzb1EofyFI9W/90Jfd0DHoPD5Csu5A/f7GMY7DC1MY9Ifb6CrbTW+wlUCqmOJINd3lu2kv344p67kNMJC2v5toTqO7uImeiqYscxaUJWuY072USf1zkS0lt2BGY4PEAv20+bbTXr2NgYo20mqCl2fcx6TeuRzddPZhvPpxOGF+82pnoCgKQhJ0fyDBwDFJULJCUXRIoPf7/ZxeEmXX5GoyskVvShB5WmPmCSOLrLhJgruwC8DL7fBcq/3+6EqThpCVE8RaBnW+8kYp7QmDflkh7RMUVWWYOyXCJ3Y3UaYokOdv5AhshUIWHUFtNAFPBs7v6+fndRNACHZ7VBrz2hDAiYbB8YbBC5LE7YpMVJF5W5FZ6/UiYVFuWvgBTRJ05F2jsCw+pBkYmQwOnXIE50wmQ0UY/uPcBD+4v4pUxuK2Z4J8+fxePnlWil8+WkMiI7F8TS2KpFNVXMy7gcO6Sd9xxx0AucpRjn21aL2PygcCiH4LJEiVarRdNkhJqoSyh3yEXlORs3lcTdkEAQPLUgyepZMZHB5H6kwGdyYaR93jvC8UC+q2yxmGgYlBV+lukt5B/EEfKTWOJekMyn2EzeG28H15bztw2/GcieNmXg7bcOIH3cw/3wvZHQfrPBCO17yjwfh3rGb0zDPPAEN1wp3FxD1mzvg698VdD9zNrN3aC+e+OozZuY/OfQ0Gg3QV7WZz3Sv0hJvJWKls+9n5U5PniW2A4/OaDsToCsToV21bn4yEZMosbD+d2V0nIiGh6zomWu7a0qkMairIFPkoJncupq+xibWNT6MpKZorNtJRuoNBfw/eTGDonIzUHjlw29ELxUu789+7/SfcY+pm7s57xxvcuTf/qpogT3fesmyy11VaCPjwrAibpoRp2GYRfVXi0Z0y7200UN6BeVo34fZN9g9CKnx6vknWCZq4Bj/baK83JR6dzoCHqSdGqJA0Pr5zF0W6DmPgDJyPiZkMUpbI75BlThnlGAk4xTRZlDH5qyLzsiSRBkwE2Yi1YULIZMvi+rTGNMsiPUp7DiaU6px/7CD3rAzTM6jw3IZizlw4wCfPauGm5ba294XN1Vw6bwwudD9wxDHp0Nseav6cLS+JQXRWmuYL+ih528/E50NIyayTi9ciudAgXaGTWKzT5X1napUDgSbSbC5bxduVz9OrdwCgqApRfw9xSeLOKd9jUXoZJ0TOxU5TP45xFIYpDNZNXMHm2peHMhZk98FAspiUL4qJgWTKlLc1Utxfhar7SPmjpCuj9Je0YqkGquFhWt9iZnYfT3G6cr/OLRA09MyjOtLImulP0layFU1Ok1LipJQYL8+4j3lbT8evjRdXebdQWlpKxethqp4KgQCjyCKxQBsR0jbkaW2bA3w+H7XHpWFrKb4YPP+4yeNzJa6dGuWYScNNDm6zmCOIPdMMHQnAgg9NNyjLWuV0U/CDN2XaU4AATbbLYhoZlXNT3dR6vODxjgg1dffVLfC5HWrdBY2CPh+TTJMuIdihqmAMFwTzSVQR8FkdPorBGkWhSUCXEGiAYlrUWHC8YdBgWaRSKdIMOWDCkOCcb345ujHKs2tlOgY8PP5GkDkTWgnJSaZWBtnYGkY3rJx9/1CnaD4sm/Rdd90FDNlTHVYb7PFRe3fIvhECOi+OM7gozcTbSglt9SJl66cl5mqkrpUxy8GyJGQ8hGM2g3UzT8eb25HG3XVK3czZbQsEsLDYGl7Ny6UPEzMHMSQNYeYzpqy0JizWh15ic/BVFqWXsST+Psr1amAkeygUh+1+IN1VaxwW4YyZM8md685n0m7Vkvu3Xq+XtCG46667yJgS11xxGf+qWLt2LTBkj3ds0G47ayGP5EKZ49wZjdx2Wvc9cBajdDrNhgXP0FOzE0zw4qOhdx6Vgw1UDTZiDcjoUoYeuY1Ashg5PZR7mAHwD/ixsJDKTHxagKDXnv9CHmIObmY6WiSDDx+n7b6KluIt7Cpdi2ALFtBWvpXOo3ezcPfpVDVNH9Z3d0UuZwzdnuruXN/uMXB7g7vH0p39z/1MOFW4/lXiq4u2+Jn0aDmoYPot2j8Zxyi22J/MHaFj4lQ/FKA96mHBJp0HJvv40YZiPu+F46uNvf52Yx/8caN9Lyr8FmfWD619K1oFG/vsOdUQNOjSsutNTKbO2BsfPXg0ZDJ0AS2SlNuk9wY/cLJlcbI15JXuzD3Tsgr/cBTIEpx3VCe3PFtPWpe5d1U9V5ywFacVr7r3MR1LHFFMuuI+PyJjj27H9XESJRkafl2CkrWTaOUmvRcnSMzTc+reQ41upYWniv7KHmkLAIau49WDzNh6MpV9DRSHSngz/i0kj2BSYjZtRdvQhcabgWdZ51/JZbHP0agdhCfHIURz1M/tGxoopYTOVJjTB6Cu5HD36t8D8WAf7XVbUFEJJ8o5pekKilOVuU0+ThzF9FCSsEujGoxcFASCYKawXSzuiaDJKV6Yeg+yqWLpICxBXWIGM9uOG9ZOfWQWdf0zeCj+as75TFNSrJ72KBO985i37dSxvPxx5OHuu+8m3OpnyfLZSIrA8kDbJ6MkqzTIixRyhBW3Kc1JcFMxw8fkDV5CLToPaBJJIfjJGh9TiwSXzISTa60RpOSFVvjlWhnNtCtLXT/XRM0jxc+02JtyuU/wP8emOfdZP0IILEOiXPXgV4Y7RroZdKHCRvklUfOvyUEgEMDr94MQw5zAHLi9w90mFTfjdocwOkmKYKRp0enjxGKdObUB3t5TzJY2P89sqCGtSciyQjggU1VlRxS5nT/HGu/qJu14Fzv5p/Ntpd5WGd92uzvRJRmUfkHjH8uQMgLDMojOSNF7fRrLC+gjvW+dgXXsrW4v2ULViNwMNid5mSbrvC+zvPgWTGEgdEHAKGJB62lMjxxNW5ddDT1ohFEsFdVUOa/9Ewxk2nkt/Dh7/JvRRJp7wjdxafQ/mGUdBQxNGjeLcNv93AzagWO3dzQCzvGO5sAd65qPfJXXnoiHv2yuJG1JtOh1IMOVv9jNlVPXc/2V5/GvhsFBO2yiu7sbGBovN9N1e2274XZ0cXuD53vva5LFzmLYHQbTzN7neIj5HQZx+gHb9jz9rZPxSUWkSRfMrey+l25bt9vjOqlEeabhdmLefgwjm90sG34yKHeQKolwUsulSHmZgYUQyCgUpypZtv0KVk16iJQao3niOmLFvSx842y8mcAI/wr3AuyMibtmsXuMR8sznt+e2y/AGVt35rJ/du9vb0Rl7gOTkLIauc4rY6QnGfmhxPuF6Nw0oY1eak2dryV7+WHIXmd3DMr8fK1M2jCIaoJSL4RVaIvD7ZslDNPOYPbp+QZLqofaG0jDtmyms2UTNAIKSEpWba0JvLI5MpB6DBF3fGjeIQseS1x4dDPt/V66oz5e3FyNozjtGPCyp8fPpIoCdTzHEEcMkw6tH3KkCr/mIfyaJ7dhdp8cpeO9g4S87559bFDq47HQrZiWgbAkFkeXcdzAOSQiqb3+rj4zg/reGWwPv8mjxX9EFxp/D/+az8Z/Qtgq3etv3008urWYpD58I4ppHlZ11XH9YerTvxLaAxZ3TDPxG4Juv4WVXXB1Q+HtCTILdw2twN6039bVjSE2l68i5uvLva+ITALZIuGNkAkk2FW2lo7inRSly9GlDLqkUR6vw8REIKiLzOCMddfx8oz76Am00B9uY/3MZzl63b+eAHdYkbI4+okZ+AwVWZXp/mCCzNGgouaEEbcZwO0ZnRPMFhtYjwIZWPgCfO3Gdt7MTOSpVg+GCb9+Wx7KtWnl/kGR4P8da7KwYqhbpmnSmxQ4++P0MgmPx4PHIyMMCSyZ0kAAxeUo6WbSbobswC3Uuh0uVVUl6vEgBOSvmm6S4xZO3Q6/Dpx+OGPqCOn5nznIJzMeD3x4WTu/fHIKhuV8LqNbCrc8N42SoE6pP8b7j+44ZKUs35VNevny5cBQJjH3DdU0jcjUBCXP+ZAyeTa1oEHrZRH6J9sqivwUcW5G7Ja2HSbqvnluuG+q87tVnifQTQ3Tsri491NMiDglG4czJ3dbTjuzkkuwLHi09BbSIskj/lu4PP6FguzWrR5y+uG8d2dMcx5Yh7WMdn3ua8uf4LMr02zosncGxdEqeH0c1SDnNB4XX3zxqGP2z4iuLjsbkqNhcXtxu23PhXKyj1b1qs8vWFeuY0gCr1cnLcP6agldglhWV+ez7AQRpiSR8sGqqQupVlbjy/Szp3IjoZYyYEhT4o7PLhSP7Wb8zr1OSQksCzyGl3Nf/DQCQSAQIKXEWTnvbvr9HVknsThkLW0RTw/9/g5KEzadCurFnLbpw7w05V7ay7bRVb2DSFs7VbFGoLDnuzt/eaF85oW0WO6F3Z2BzBkb94Lr2Kjz7891113HEY1/pPG129cXeU+a6ImZYdqNdwLTZ9G/LEnV02E8LRK13SbzjkmxKSLTnhp9qfcr8Il5xrAN2kE0zxYeyv5ckrNRBobFwWUI3zd6s/Oj7DAyaYCq4jSnz+vmqXW26akspNMXUzBM6I0qdPaHGUiovG/KZhT5necT3xeOGCadbNDY+cVewhu8CFNg+iwisxIYwf1znBhLWFisC7wEwMTMdCan55Fi7wx6NMxOLaEptZH1vpfZrq6lSdnMdBaMdXcPCKdOjhFJSTy9Y8i2f960DhZWDZLdz8axH2gtEtw7TyWdjRdRso5b2YybnLNHYkn30KL7bInGikYJXQTYEjyP6eYjNE9+m8be+QSSYxd3KVtZ+6UwEHmlCnx6kDO2f4Q1tU8R8fUgWwqKoZJUY/T4W20PbzWe147Cgt2n01myEwODt2f+g9Pf+OiwNsdxYLjzzjuZ9chEGuVaTJ/F4KUpVEUdIZA5AodbyHELarIsY86TkZ6x3/tTXlRV4etHZdidlKkJWlT7bTV2NAOlPotyn8iGag1n5ZZlEcoztcZ055wyQggkWaa4uHiE17ZjH3d7bbv77BaC3c6CEUliIHtsvWWNIByjkaT8/rvhZur5phZH6NsbzlwUY2ObTlu/l0QGPnJaH829fra3e2jqkumOBlnTeRRnL2jaZ1vvFId0k3byPTc2NgJDLDDnHJO9oY4kHPXGiR4VHz6g2kibV/7/7sxO7jR37olciHnkZ/RKSDHipm3DrI/MIplMjrBt5zNeJ2e3rus56d5p98TeC3i7xt7wN4rXmGrawXVue5ybbbirIjlM2j2hRmPJ7jZHi6HWTXj/jH4UYfJ6e4gzpgxy0iQTKMkxFscL//LLL+efEY888kjuf8dRpFAmsH3Zot1QFIXmoMX903wYEmDoKCZIlj3WQaFwSqvg2L7hi9KyXg8e1eLxCSY+bQLrys6mOrmdjhM2cfqzc6nuGz0Kwf3evXC7NS9kBKZhYGKSzqQRiNzc8af9HLvr/cPmnC5luGfR98ACAx1NGwr98SXDzGg6gQ2TnicW6KOvpJWKSP0+7eL5TjuGKXiruZJI0o9H9Yx6vEdKMq+uE8mypXK3NqHQvXL7B8CQls4pVvHRj3604L08XPBEFcp2hUGGxFRtbFbjvD1KZLW4pV6L2pKhL4JqfhRC4aYqfEO/6UyI4e2LYacac2yRh57DKebhZdJge3tfdFwvv36ilowuWLU1yI3v78MCfnh/Kbu7fKzeXcWUygjvH+NzHzFM+khCr9KW+79ILz+otgJmmNrMVDr8u3jb9yLLkhdSZJUdbBcPCq2DHv7wZhVzqlJs6/Xxn8d1Uup/90IK/pkhiRRh7x48Si9/bZiCqQTA9PC+zRnmdhi5jSsUygpTo+gET+gQJJM6z00J4hVltAdmYfktWi7UuPofKhP6D16RKJvOo21hCgPZ2vujboqh+y+skYJKY/tCNk18CVMy2FO9jopI/YhjCmFXbyUv7piJkBQGU76hzdaxqTp9ME3ebq3mkoVv4vdoBVr7F4FlsfD5afhNH7JHJrXMyglihdKt7svuKoQg9IaKLElYAsRMdUSoZyGTw2gFg4IKlHlNelOCrQMSYEA29FRWBJLXi+ISEt2ClSPAuZmsI1C5BT0HqxQFBHgtmGEYuRCqQilpC12f23bt7h+MLN3qJj7OsbPrNU6YGeP17cVsbw+wYiOce0yC688a4L/vqEVRFPZEavjFL34BwH/8x38wFjgkm/Qf/vAHAObNs1mjE5fpMOlCNij3527kf65pGiuKnuIE6STWeF7nHO1CPHhG2KTdk6BQlSKHAScSCdb6X8IwbDVhcX81CSORYyhu9i+EwDRNTNMc5ozgnF9VVeb0LaW1ZgcJ4jyt3MX5iesL2hrd1+rWDDjv3TGobm/3fOQzmvaYl9+trSKhyby0x7Z//ur1Wj5/Ug8VQcHr23xEYjqSBFNqDPwek9/+9rfAwdWnfjfx9NNPA0Mx0TC8brgkMlQW76DI30LI14lP7ceyZCxLxrR8pPVi0noYw/SAyI6/kiLsaybo7URk3W7N8HkUyX6OikQ5KV5CTK0dkYfazfYURcEwBI2ri5nyTAkbSieQCkUwFI0YcIsuMaszjFeTmBAxCOoGk6d3UlRsV99x28TdmetyKUCLBtH0bIRAIo3Ilg2Eoecs/31GSaJn89CbpkkikXBpjQRl3RPpqtxFe+l2ND2DZfmHtTNafvrtXaU8tXUmpilACOxhcGJXczcHCzAMi44BH3e9Pp9plV1DNmivPacDXlhY30fAOzyT2WghME6fnPFwKuwdMVnKNugUbbfHL7YkQ3KeTmDUYKP9h0hA8LVspbF5YB4cv0AImFVqsrJdZmO/hGaC4eSHkCAJhA/uFKOiX8Dq7POyxDDwcGhZ+zvBpSf00dQTpGtA4eFXgyyekqY8bDB9QpoNTYL1zUWU1YYoC4xdcq1/WibdrXTyZOnDPOt5AoAaajleO+mg29VEhu2hN8GCSfHZBIyDj8eeHl/MrtRatvvWss77EqclL8N3mOp0PbqjkoQ2nKl1x2V++lIFF02L8YenilEkg4wusMwglyxp59BGAb67KAttZ0bNU3hV24HM0fflRCQhCNKeO17kPnaOG6kfDMs9LGpYTs/gLLa2LyWtFZ4zkQEP9/xlGoqSpKs1TKluUCLq6CgdJOLzoQNrLRlF8yJZUBMxeGv1ZN53/htU10b2+zqtvPidlvqNqLqXCakp+NMHvqxWdk+mq3IXGTXJyqPuZmnzRRSlCmc4syx4csNUe4MGLly0iZk1vSPshqZpYlqw/K2pbOqcQG88RG88hKwMV3MLIfHazio+ctIWigP/vEz7lltuoeHNao5W7KImkQtMPB7PiHBMB4WcX91hpGXPBZA1GUmRMc6W8PlEwQxjhd7nh6ACHFMJK9tlYprgnu0ylg5IoHggIURuk3bMC+7Sum7C5ZAdx/zk9M8hcpYk8Wuv13ZDsuDUjG1OLESu9tc85baR5wt2+yoTmx8K6PXCp85N8J27SzAtiWfeLuKKkzOcuTjN5pYAminx7O5TuHLJmv3q1/7gkGzSEydOBEbWaHazvNEcH6BwbHM+AqkQXt2PodrHTrIakSQpdy63lD1aQvn84xz1yyb1dZJWHNM0aexemJtMjkQeiUSG9THfrpdKpQqGS8zoO5at1W9iyhLdVisV5AUkMnJCOK9O/9w2dvfDtTcGna8aaihOsa3ffrRqiwzqwhne6iyiNynzm5crEJYFps14dFPl+c21fHRpw4i2j2S483EDBPwKMyasYGLlJjAklJVLseJhDEshnqrGKOsjM38zsprAp0bwKDEkoQ8lkxMK8XQNCa2RwVQjGWMiA2UWaV8MiyZkSaK6ZCulwW2s7j2bN73zmd5n4RNDwlhkwMOdf5pGZMCDYdjz0pknk2IVtEh9RLweTGFiqjqS4aGzVCKdUbn72ROYtLQT4UtQOacHb6mt0bFMe96aLvVfQppDSt1K0Oxj+8KVAGwxX2DJhguoGZg67FgAS1hDAgnCjpl2qRZrOqezc/Jqkv5BekMtPDrvNxQlypk8uIDZbUvxyMNZvcejUl+WYHPGNu9s6KhnXkMKRbLntLOgp9NpBHD6zPV4FI23W+swLSkX/jM01S36Yh7+9MJ0rlm6mYAr61P+M+DWVDlz4UixUYf6bBatB02MijHgiRYEX8xWamsAfeHBNwmwpMokqFrENcGDu1SyofYoHov43n/6jhEHbvN6WJ+9dyfqBrMLaFUPJyZX6yyekmHNTh+rtni49AQ4elqKcxYneGxNBbG0l5d3NjBWUfvvCpOWesEsAzFgYZWMjVeox/Lwidb/ZG3dahamj2aiOmlM2t0RfgsArx5k4uBM9FEyPR0IwvpQtF9U7h+TNg8EZzb2EtW8vNpaREdUYXZFijOmJ/jHtgDdEQkzChOLTc5anODR1zx0Dyq8ubuCoxrfvdJsY42iQBeLpz5LwNuP/PoS5OdOJdk2B32wHAuBDEgWxGb2sPO8zViy401qIUkmWALV4wWknNCnKAqmqZPS/azWT+GsRJxJgXV0egP87RiFTmOQ1yIlfHSXRVgXRAY83HHrdCID9u8XL2nnPafvHqaG16UM/5hzGwOBTtrVKexRTsXz5Fz6b5kKpkz3q7VYWIhXGim5cSOemYO5mtH5Dj02atCUa6g1H6LC2A2AKem8PvchFm17L6ruxZRNrGxcdMw/ZBooBFX3svSVD7Ft2iqa6t8GYDDQy/rwC5jCZHHHGSN+8/5FO0i+rtLUG2ZndzHrWspZPKl71PYlAcumbeGkyZuAIfOYI+w/s2kyr+6spj/h5c8rZ/Gh49ZT7P/nq3pXVlZGkRRGkmSsUgtVHe7Z7DZLFCIr+WGESotAjSgggbFMRfUMb2tfIaiFmK9HhjMnGjy4y+5jHHuDLq22qDaH6k07pj4no5c7sY3bwdGBEIJBSeIxv48XVJVMtr+NpsHH84TsQt7cDgqZSN2/c55fZ27ByIRSDtzsO9/kePI8kzU7IaMJdnX6mTMpw9lHx1jXorMjozCQPkhbQx7GdJO+/fbbAZg+fSjXb+AVmYp7FMwSkDSLwa9aUG9fvDvO0nnvSNju6jj5N0JVVWqZyJy4bfcWnuHB8W6P00LZjdxB7n3FHZimSdlAHal4Ove983snHakzOUOhELIsI0nSsBvvzhgm0gqmZU/qpDkkg7ofImcMSktLh7Xjznfs9Md9vfuTcez649NsfEwmYyrEzQCfPD7D9j4Y6LPoG5AQCCqKIeSHZFriiQ1TKSsJ5HwNrr/+yE534mg/TNOkrnwzC9mJd+UiRCyE9Mx5xNMTsFARUl5uBwvKt1UhPy7TdME2NGu4t3Qmbi9CPp+PaMTDnt3l+DdBSylEgS/IH+O0WVtYN6WdqKzil3uJyYKbWuuob1XZ82I13oiKsCyOOb6Dk09vQQhl2ELgQeXM5qt5YtofkKXdSNJz7Dk3QYliMXj7FKykbG/GmkLkZ/MJnt6JXJbGt2gAqSoxYhy8VimD4mpO6kpQam7jjYlPYgmTt+c+NfxAhx1ZCpKQ8FlBQqHQiAXceRaKms9meu8x7CnZxM6G1eiWxvryF6lrnk0gXTwsnMajmFx90i6+98giQBDXgvh80dw157+6a3Y7z4am2evBsunb0HSN13fV0BNV+PPKWVx+zNtUlgz32N9b206c/GG1UZvg781qynxjwKIB7+Yhta9+9IHFWRfCFdN1TqzR2TUo8XtNoXyS7R/QnxIHXUZok9fLn8rLyHiyPkPAdNPkK6n0YTII7h/mTNJzVcLe3OFlzqQMQsDU6hQ7Wj30RP1YeTnEDwaHlElLcSj7mxchQO6xOxz8G8S/eijPenCIq7Y6O5geu5hVYJh3rSEOrz1NCCgPGLTHFJojMrv6ZAZSgkCRxY5dEh0xmR88UswXzu7kgZXFZDTB/a/WcMks6ZAE6x8q1JZt5aiOJP57vgBCkEyXkjHLMVWL3ZdvJjExaxdLyzTeOYNAe4iSzWXAdHacuwlLHrmAdraH+Ptdc9E1DxYWRlAQVS0GgObJ1VR8+S2Ky5vROz10fOsYMr3FNJn2glzsszh3YQfLzmimALEhlCnlvC2f4YXGuyG0iwnaLsTSB5gx7Xhmt5/M9reqeOKBRkwTuKsGC1CUes6+eD0TG4ds1i1Fgr/Pl9ElmSdri7hk9xKOa/KyquEhCrnheAw/JYnqPM/wwihKVDK9v4iKvnpWHXsvpqyzu/pt5uw5ecSxrf2B3IJ1MGuWEHDG7N2YpskbTbVEEj7uen0B15y0+Z+KUU/dVkfRYBDJK6HNFznB3Hl1exW7C5C4wy1VVUUOC6SsLloWEpa89426ECt34BbQGkLQEDKJKRZ/UVXSwFd8Hi7MaFys6SO8twvBEZrC4TBrAwH+OqHansMI5hkG52g6iwwj5/lfqD/uJFDu4wppEJzzO9oZoKBXvdu73oGmafg9MHtiivVNHl7a6OG8Y3QEUBQwkCQJE9B08IyBQ8+YbtJOXehchSZFAVVgac4AG2iqRSo1uoHeyVfsnqyjqWL2lXPZbdN1UCjkwDAMDHR0kQELAoRRVTXXJ+fmuu3lHo8HSZJy9nCnXw4DzgX5e/oQwrb1hSjZZ0YrJwd5oTFwe9IWUvfkI5+FnzBF8OB6id6ExDee8JAxYGe/TGmlSUe33YcfPVrF+YsGeWOLSsaQCBZPoOgIXgxvu+02wB7zkmCHvUHfewWmJYglJ6AbfsxyjT0X7iDVmECQtbv6oeXanTT8eTr+tgBlWyuQpbk0X7wT3TOktutsD/HgXbNIpwWSZN/XmriEFIBBD2R2Ben+76NpnD0B6aUUccOkR8lgCYGlKFSc1c6ps9sRQgIKO/T4jCBn7Pgwb9Y+zcbKlSA0tta8yK6qV5lRdyzneC5kxUPTSKWyzNqUeerBhVx6xQ7qJtlq69kZCO2Q+Ns0A0MWPDDF4tLdizl/yyRSql28QzZlhCXZBROESShVxmrrayDZ83q0sBwYngHMm6ehSqfSxGKxYc9zU28xD62bimVZSJJg1oTB/c6P7sB5lhwWfNzEdWTSad5un8xA0sffVs3jmhM3URUovEHkmymc+wmHgVHHTWqetgmAUWYRPT1D8RiUtdVrh+aP1GRh1B50k6PiXN0gg+BuVUFHcJ9HxQRGGjr2jeVlpViAasHHU2neo+sjNucjGWctTrC+yUNGFzy9NsRZ8+P4PUPrcFsvNNYc/HkOrU3aA+l5JoE1eQ/yMUcuE9OkIRvI/rCJd4J+T2fu/3Jjwpi2fSC4cF6K3oTMizvtxattUKLEbzKh2qRVkujulIjEJZa/GWZC0F7QOiLBI3qTBgj1RJj+2gZmnv4a3ju+j2VqdFmVbPjAZuKVUYKlQZBAdgUwmz6Dpmu25Tbqok1lFG3sp2/OkP30uaemk07b8+KUs3Ywe14XPr8f0xQ8+VgjWzeUYfX76N42BawME/wtfOTUB3njwxa7PHXURssQW/YvSbeEzDFt76NhYC5v1D5BV3APmpRhQ9VK1A+9ximnnExD92La3p7E8vsb0XXBfXdM5YLLdBqn2Il4JsckrtwOd8yw0IXFvY06H9hdzvyBqmHn2pfdcm/oKWrJ/V/WXzc0nkIQlxUe2zgT3ZAQwuIDS3ZTV5bALaC8UwgBJ0/diqqqvLFnIpGEl2c313P5CS37/vFhxO9+9zuqdpawLHM0yBC92EAJFM4w5nZ63atteoaF8AA6yDstrKWjJ20qxKDdc8AdO5x//EWaxnxD5xdeD51C8KBHZX44zGTDoKzMdhJ0p9t13jvliVNFRfQHA8iyzCWpDKcYxjDdsLu/e8sYln9cofhpB6PV1R7NwTYfzli4q2VNrdKYVOFjV6fCk2/6WVQPUypjQBgs+Ox3XuasGasPOl76kDuOrT97K/UbixGGoL86wlMnrcTr9VFqlHGi9h4CVnDfjbxL8Jg+ZFPFkDTinoExbbvf0wHYnrNlxhiIVwcJScD1xyXxKhYv7vKwbIrG7n67Dk9tvYFhQG+3wKcMPaSPrJ3Kh0PrD1+n94ZUmvo125jx/NvIU3rx6wqWJmH2qCjBv2Mp5Zie0r3uD6bPoOnKrcz68SIAvP3DrWKRAfv9zLkdLDjKvp+erOR8/kW7eVKxWPdWqV28QJKYvyTKBec8yybPCXh8g1Sxg4klSXpiC0k0T8ZoGSoY4zAI0yehzIogBeyFoTJRz3u3f4zWoq1sqHyJztBuNEljfd2zrK97FnmBTGXjyWy++TIU3c9d99dyyrU7UI5+nbh/gKRnkOmZRtaEjkfVw9zbCNZuWDBw8AlTBj0eXp1QQ1PgbDQRwFO9lHRdgEggQE84hCWp7Hi1HNUHJ01pY279wEGf04EQcMqMHbRFiuiOlTIQ9+77R0cAiruG7nlqwRgmENLIlbUUA4c+qniaafGFVIb/8nnRBdwcDPC/eeUf94X1eXrghbp+SKtpHSoIAZctjfDDB8rRDcFzG0q4+LgeFjf0sWZ3Gbv7JzCQPPj9bUw26b/85S8AzJplx/05DlSvFL/A/SfcSeVPypmyroG3l24kXpzISSxbkhv5cO8nRthe3Kqp0aSfQg5h7vSabvuN8+p2CLPPqVKp19Hla6ajfAdS1CIkhYb1xfFezA9PsSwrF7LiSL1um0lvsBVJkii3JhBQh26cW0J0S7Buk8C+4hpHcxwrXGjD4sPHJPnwMWmEgD+s8vH8DhXdhGRQMAGdyIBMkUdCkSw0y8fLO2eQ+tWvAPjsZz/LkYC777qLOX9/kcYdLZimSWhxL7q3FCFkjIgXn1HKgntX8OoVZ2BmTTHuSkIOrIBlhyBJDLufkiShKDKSJAgGR1bO8fv9vO/8nZz6XoFpCAwjiaJavLHrIyQrO8Fn0aEE8Uhv4f3bsfj8TUQ2zMewPOiGn7QZgmzokwhXE7huO1L50DlqB6YzYWAa7aHtvFX7DH1BOyueIRl43vMcdd4+tv/6SgZNiQcfr2Lx2WtAOCykh4lmE+tCywhkKvj7pDJmRLx4snvEaBmtnDmdDzeLeXDmdNZX9JJSpiKZEpsaJ9t9chifYYBloQnBq1YFyakSC/p6mBePU5zRCIrhUefu5959/pGxrsow9eJoJh/38+Feaxwn1VtvvRU4tAU5VFUllPCDZZEpNUgLDTJDa4qbdTpztFBWLgcC8PxGQ8reb32WUtCU4IZ7XBzsq9CPoijUA5doGnd7VLoVhd8WFXGjkFCwn4cBIeiunUCVYeSuxWHam4JBZFmm2IKpQoxg8PnJovLHZF/lTQvBGY/Rcn+718dCxY7cJVLT6TS1JSnqy3zs7vaxvU0iFouxYEInr223HYxbIsO1VgeCQ8qknw48BkBXQw/dDb2UauUohpcBybabbfKvJykShA5J3poDw5TIIrp8zUTVfh5q/CXTEouYHj2aGuPAY4X3BDaxx7cZgEZtzlh1dczgPM8fOy6JaVn8YZWfkNeivNRgIC6zq9/L5FJ7grZHfHB4s5qOQMOLb1O2vRVd09FVhc4TKvEH48iVFmZPEaG+4xEtCovu1Wi+LEy8bv8l/ncKh1mn09ksb0aI0j1FbJquIRJRHrrlf5nfpKNaJoqUQCGBVx4ABJoZQjOK0KMhErdOJ3DtNqSKvDAUBBOi06jZMpW+UCv9/k4GfT0M+noIHtVE4rwVtD58OpmBYkTSTxkl+LQQ/cF2oJsp6TVs9R1FzNPPc41NLOqYTWX8wOa1hcWeog5Sir2AhTMyimkSymTwx+NUxmKEYnHkYovdA5UkdnvY+Ew5fef6eEHJ5qO3TOYORFjY1c3EePwgleD/BLAg2Gtvcnp47Mx+8goD+VUDEBhHyZhnvXs5qi7UdHZIEqtlmbdlme8HA8zWDbb6vGxQ1VyI4E5Focw0sYCEgHXZzXaxYSA4cjKKHQhqS9Ps7vbRMeAjowsqQkn8qkYqBf3Jg9/bxuRuOnaGfMevXqmHmBJFQuJ98fM5J3FBTpe/RlrN7ZW/Q7M0torNzIjNBoanTsxvz3nNTzfoZteFnFwcFGKi7tCqE2PnEEv3sDn4GkllkA3BlWysXMnRg2dyQuQ8zMHh8X75he8Nw8j10XntFe2sqLoDRVFQLA8n6efh8XhG9GcEoytQ9aWQ5+FoznWF4izdWoUhhiRQZYnpFXZ4gWkKJk/T2LFVYdeAl/qQTjTpo6SkhCMGW3ZR+9LbGEC8LMyrl76H94T/zCslVbz59Zc583sfpKYpTF3zsVSvhUBvJc2ndBE9rw/EyFzAvpY8Jx4xvCCHEBKyLKF6RqafdacBdZBOp1m0Ewa0EOV/Ohajzc8mRWf29NeZfPF9BHzdSI6eEuhbeTIdj51LJlFC8k+T8X1k57CN2rmXpYO1lA7WDmOdL/SFeDpejWRJHLv8W0ybGs1dR2d4F49OWQ8+MIXJ7pL1dIZfpiI6iXldJzMhMg0JaRijcc+XXIlZT5I3654i6V0G1DEhtYf/tzqAJzMwbCwymQzHTnuLv7w6m+3JCqIbPLSafmrOiSEkSEgSrxcVsbq4GI9h0JBKUZFKUZXRWNDfj9819x1nyvw5ryoKFhb9CQ/dAwZh33CHTXdcrpudOnDY0V//+lcArrrqKsYaxTsChLp86H6DvomDJBNOiNnwtcTNnN1lePPDykSLiefPtmexVSrQPusZ1fnKrUUbzdYMI9dJx1nPSRDkOAU7a77H4+HTyRQ/CPjZKklsU1W2Of2D3CatSYJOSearxUXoArSsFuU4TceyrNwYDAwMDHt1Src667O7pKzb472QLdqtZcl/X6hIjXvddDNrh+1PCKfQtCCmabBqs8qCiQohv0EspSLUg48SOmQi12PBB3P/z80ML8+4y7s99395dxkVywOYfpPQ216MIpPUMSbRpYcnTEkgOKP3SirT9WwPrqHT34QFvB5+imbvFk7s/QB+I7TPdgA00jxS9nvSIoWMxPujH6NCPURul2OEiqCJEPbGVRvWmVCkY6Gyca2fpkE/DUX2xMzPBnVYzUnLn7P7IQnWnHMculfllXAVt1dPIVlm8Mb/ruS6m45FTnup6Urj748y4dWJhESI5MQ4kqM+syykjETlU0P3J551wDpYiITKmd+bS1fST9QrseU9EZ6+QubKTR8gGM0QCu6iv6qDo6Q11Jz7JALofOIsyEgYfwvAhwfZOkklrgCGyZRBQdgYOegzGg1eMoJgCR65azoXX7GNhslRBIKa6BSWtExmqy9CQo0gZYto9IT38HzRHQQyxczsOs5OllIgUCrmGWBL1Sp2VL6JLmn4zPkkxWRK4ifg07djMpId+j06HzxqLfe9sYCOgRDaazLFXWkqJiXoC4doLQojBy2sBtgRDrMjHEYIwfPVVZzb2srcyN7vwZSqCNu7ioinVf62ai5XHr8ht1EfaZjypu0wanhNOk8YpIiDX8A9v9MQyexG+EkPhN/9h9EHfD2Z4o9eDy8qChZQaZosNAyO1XSaZIk1FugCOvKE2GmGwUJjDO3yhwkzJwwS8mkMJiRe2T6BORO68ak6oJLMHHwM1kFt0j//+c8BWLRoETDESgY9EVb7VyEkwVHaEmYqs3Nn0tF5o8j+bsnbSzjmuzMRMUe6A7lTwrNNQn3VovdjMYyioVqi+TaZQmXxCnnqFcpZ65bSHWn1TOsDnKl/gK5ECw8Hf0cLO+j0NvF83d2cuesjmKZJRknSWb6NtJxEEfbi4thOfD4fj/tuJ+LrwoPKSdr5HOM5NXd+N0spJNkW0gi4r8Mt7eX/X4iNuxm1ZVlcME+jLQIv7vLQFrUr0RxVl6SnU6GzXcZbBIo3xN93z6RyAzy3DT5/OlQdBovFXbfcyol3PgxA59RajJpyTNXk9pqZIHQkYdI3IcFPfvg8E7Zn+N//3cmUdRchJcOUvF5OyevlSNJwG5dlWVjCovX83cRqowhjpAajpzOIqvqRZWtE2kn3/fF4PFjPTEf0hakBBk7o4a3rdyEkmbsWyHxwq8rfpsxlT3AOZall3Nj8FrPOeNVmv4+fhZTIsO3+Wh7/5k4GqlRMS1BKL1/r/Ac1SZOYNoe+xAIsK0R1TYLzL93Fw/dORtMFyx9o5BP/uQ45G9sukPDrIfxaiLO3fpLOopVsrXwNXc6Q8ERYM/EpeoOtBDMlmJLp1MFAMzN0FO1k1dQH0eQUjn6yJqEji4lEFYUM4HGFPw55Jxtcd8oubn9pOh2RIJGdPiI7fZimiSqlSHq8KJNNJlwcJxL0YSgyA7LEHQ2TOL6zi7Pb2hGMtFUbhsGyORH6Yj7eaKqie9DDn1fO5IPHvI2cLTXr9MF5vh1W6n42nFeHOY45oiYVnSUgQ8e8fuJSAr1vKIwToCQSAlOQmSSBNLKYjjPHHM1isM+H2GxgSQL9HAXzqJGxw/uyTRdadxw4Gob29vZh3zt9qqyszPXpE8kUVwqBCsMSkcw3TW42DdokCQsLBXhvRuOidCbXfm9v77DzuKtkOX5Ohda/fWVUKxR6m38t7uxo+YWJ8r93iiw5bD+TTnNUfSsvbp9MfzLE2s7ZTKxU6Yz60KXygy5QdEjMQC1yU07Ncbr2vmHfbVe3kJASqCmVK/7vUqTE0KAPLkqhldoT179Tpe7HIby7D94L9WBQZUzk2sFvMj25GIC28DY2Vqxk5Zx7eHTJL3ll8t8ZCHQy4OkkJQ1lEmuVd7Da+w8AJukzOT3zwcPS/3cKSYKPHZfg5Mn2w9M2qLCu00/1BJ0p05MsnTfAPbtmsyNawq+fhw1t8F8PQdehM/MWRGlTJ5JhP1Cts+20sBGfScayF72Pdm3mg2vC9obXKNE0JUJqwp+RrI6CbVqqSdsFTQws6h3xXeNUe+FvbgrzyH1TMUZhs6O22ZutFlUdZ9HSXSzqtX/X44Ob51s0ZxUzfT6Zn9YfxV+Sn+T5M+vpPm8nuzxlxKOlnPjduVT3dVHk24HhG+Bn9fNZUwl7ajcwMOVBNpZHiCkWs+cNcOIy+/riUZVMevRH3KsHWNR6Bheu+zzH7DmXcMpOY2hIOoO+Hh6afxMvTb2XJ+f+nvuP/iEvzrjL3qCBqsFGTtl8NY3dpyNbCqppIu3DccfvMfjQcRuoLxvOjGXTIpxOI222KL0tw+deWc0FO3fj1+11YFV1FfdObkQroK4RAs5e0MTRDV32GMYD3L16AbH0wVWUGnNsH2KMA9NGZr32t6lUPhHC36RS8vz+5dpSnxvajPX3Ht510kEYRs0UJltQb5j8bzzJL2MJrkxnxiA6/MjB8VPbmVBiaxlXrC9nYzZyI5JU0c2D22YPikk79gK3x12HaM9JIRPM2mEMeK3/DWRZZsmzi6nqq0CWJLrPTxE5PU0mk0FoUHFvgOLVPsSAoPrnfvr/Qyc90xyRWxUKey4XyoDjlpz3VerRNE1UVM5KXMmu4HqEyLC67gk0TcsVIhBASolzz7Qf8R7OJ2AW8XLwERACBYWLtE/m4nIL2Ybc7Nbtpb6/GX1Gg9srdzRveee4DmkPQVHE0qWvk9FO4OUmP5oBzYMeFlQOsrK1mHhSR5EsmvY02T+c1MBvX4RvnPOOu3ZAeOihhwCo3rLHrqDkUYg2TsDv9+PzaRhmAEiSCBjoRRk7A5CqEK8swVSa0IpvYsOHrwAhjbBzar4MptfE1EfOpzPO2clgZCbtLSF2bCvjsb/LnHfJdmTZGmGbzvenSHlULFlGLhL4/T4ubbdQFIM3y21nHwlynjMRn8ny6QA1cBXMKRpk9gPVlPTKfOInpez45us8VDybiAjxh7ITkLJ1oM2KTnxRHzds9BCLemyVtRAoioLzeHYEs0U0hEBRZDweCQ8e5g6cyKzIcWwvW80z1lZMYZD2xGmr2JIdA7uXkilxXNP5TOq2U/HuaQhiWRZ1g1EsXcdRMrvnl/NaUaLyidN30xu1/R00TcMwBY+saaRloJjNbUXclZ7MhYs3cnlbG48ctZgev5+NpaX0+3xc2dJKeWZknL6zUSeTSda21tEb8/PA2mO4eOFqakJDmi0YycbdyYAcJj2W3t633nortRvLOcZv+94EpoZRywP2emdAzZ/C+HoUpISFv03Qe26UaDSVs/+6S/qapolIQ+lzAsME5qjolRbKKHbZQhm5CkV+uKNf3N87jNdtv62utgsGOfO+0Ho1NXt8MqsVcGzdLS12jLvDTnNVsVxs1m0nLqRpLFQC2D0O+W26bdFuDYYzNwYHB3OfW1hEJraRkmOcXDPAnQ+ciKH7kcwwimIS8JpMqK44KJPgIbFJb1fth7vELCVkDelBW6VmXlFfBBNmt81BRsb0QuS0IccYS4WOy6KkJurUPBxG6IKKW3x0fC15WL2Ki8xyFibfw8s8DoBsyTR2L2RKYj7P699G86TISEle8PwdIJtVCpZpF1Nh1Q4VQjhCYWHxovogz3juxe8JEZcilJ5xH3Of+S8efL0RVbboS6r0pxR64j4mBmNImJhZZUzp/uXoGDNIGY2qnXYYUm9jDVa2rGFlXMGX8YAHHiidTMwbBcuHbArC/iqgCW88SahnF33TJ6KFh1cX21vmNp/P4ANXbefev06jvTXE1s3FPHTPVOYu7CWRyGa+k1PU7SMe2DQkFjwbpq8YNhWbNMYkTu+22H7iIK/WZYbNlM0X9lC/vZjpK4Pou+ZR272ZKrOarV7bkSbg6cYjDyBLKSpECyuePJm337RZcVVNAp/fXnBeqDZYWWlfW4kmKE0PXzVkS2Zm73FUxOtJKXEq4/UklRjhdBlFqUrK43VUDjYQ0MIY2aIzsazwXeYKR9sbhIBi/5BjGcAlR63n/jfn0dxfxK7ech5aO5cLFm7gmo2buHfGdNpKSmj3+/nVtCl8ZHcTVdEMqmQOUwMKAecuWkUoPJnXds5kIGlv1NecuJmQ7/An4PFG80ojhrJhT3GJSfeU4d+adYbKCLSQTrxh3+MZWCkjZbVX+un/8n7xRyS6w82sn/gcZjBDxNuNoqhMuvYJ1j90JbG+RspTtcyuix+0z85BbdIOQ3ZLerukHVimyTR9Bpl0BslnT6In/Y+AAFVSOcY8zi5MIWelLzE8tjhzJvSVZKj8ix8pKVH5Fz/a/5LzUioUw+l+X2jxdUt6heKqHTtEJpPh5N6L0Q2bVZTtbMCnhwgEApSkqjGsDGWpWvqwN45SqZJjEmdyknw+BkbB87tRyIvbQSEG7rbRj/Zbd3GO/O9XeO7jOfV+AGJiACzoUZvZWfokk0quQREC3bAo9WkkMgrd6QAVqoYEzK+D6w++lPd+IxKJUP/mVhTNnm+9i6bj9XrxeDx4gKu2h3loYTMxoSAUA0WTuGhrGGt6Gab3LeSMTvmbW2ifVDkiFa17jNwSvNcrcemV23jgjpm0tQTZsbWEHVtLhml56hsH+NCH96CoFrIsk5FkbM4MqaTgnr9OpXWPzeBLBUQteBAofyrFZz+6BalEHzqfJONLG+imn92mj7+rJ5Dwp3MbVFqvQpEShM04c/4U48mXKxFCUFyS4QNXNaEoMs9Vajw7wQQEIR2u2akiI0a1zwkEfj3E+7Z9fMS4W5YFct5zKksIIaFa9ri5/SLcGbTccc5DccE6H162m7+unEpzXxE7u8t48K05XHrMVi59ay2vzJjOqppqkpLErxJTWNrbS0fGx9WV21CFhWkmmDL9IXRNZsmJf+avz17KM2tOJRatY8W2mXzg2G0FfVMczZnzeX4MLMDdd98NwAc/eODmqtoJtUxptzWKWpVJcXUxcq+g6g9elAEJXckWcbE0fN0q4UcVms7ozo2no+3Jt8VLPbLdZwHaCWLIk7MA9jebXKF76GhN+/v7AejstDMoujVIjo3aYcL50S8wVPzGYeTNzc3AEKN2nkPn9+6iK25fgn3Zogshf+1zzw1nzXeYs/PqeHMDdIX2sGrWfehSBllWUFBRFYWKSR2c9Mmb2fL0+zB3LeKso8pRMgfnsHNIRLCksC+q2Cwd9rmCU+lEoFRn1SJpUHePvmHFl2hEl9oPjWebhOelQ9Hb/YeMwoLeU5jf+x58+nAPb58Z5LLWL3Jp5+e5uPM/+WTvj1iSfG9BT9kjCTERYaX6CAClZhXXDH6dxSnbyc3y96HL9uRUhD2Jq/0pphdnU0+G+vjGOeAbg0Ty+wthmNS/sQ2AeGmIvsnDPeYrBkv5Ssc6SowMATPDpZtLmNrvxfSo9E6xjw13DRzw+X0+gw9es536xtEN8c27S7j/zqls21zM1k1F9Pd6iMcUenu9wzZosEtkOujt9vHQLTPw9igkFNtm3eG3aJ4TpSVgMqhaLP3OLAKdQ9m1LASVCYUTfyXz8j+OR2BRXJLhqo/toKRU47kqnX9MsBe2kA7X7fBQVcBO/U4R0ux2e30Hn+3Lq5h88NhNOZv1rp5y/r5mNpYuOKu5hQU9fVgW7OwN80q0gqZ0kAd6GxAiw/RZ91BSuo3yyo0IAVeddh9zGzcSCrfSHXsXJ2YB+LpU/J22MBA7VkOOCKp/7UcZsO9DZF6KbZ/rJlZrbw7Vb5Yg9uH0LBz/UAs4/IqCfyt0hfbw3LS/oksZsAQn9p7PNbu/ycc7v891Xd+iXq5m3nkPMfdT/0100ssHfb6DYtLu6iyZTIaklCSDXaRC0RU0Tcsdt1RfxsvqC1jC5LX3vM77/noSWDDh9jDJ6yUSM2xpbBhLvBbk7RJiANRHBZzuGfqOfTNkB/uKn3bgliDdcXuOlOVI2g6D0HWd6GCUcMqWJPWK4WU2HYzGYvcH+xs3nR//6WbXhcbkdflpNDKYpsl7o1dTk5xMOFXG62X/oHHuC/Q3n0zXzqOxfXksppfGuGrObgaiSQKKgU+d/46u5UCRs0Wv3ow6GENIEi3Hzkb1Dp8TiCATU/DTltfojM2nZXAeWfkQraYceVsrvlgSRTdzDMBhVIVsWu7x93gNPvSRbXR3SuiGhJbJoOsyLz07lbaWEE07i2naaYfYHLcnSElSJtHlo70hiiVZNE6JcspZbaiqTYJWPl/D5vUl9Pb6+c4D01H/ZzNyiQbCgCm9zDJ9zHiwluIeD9d9fzrWJ7P2YgO6nrV48YUTMC0v4RKND127nVA4ww5V56lqA8u0CGpwxSYIpVLE9xJT6lyfM89HGxPntSEep9/npSUcRigKjjeHm/U47NTNpN226xJF4dplTdz+4mSae8Ps7C7j9d21HD+lmca2Nl7zlWEYFr2KTGkqzdvRMEtqtjO7uBkQZNINtDafR1nFakrDMWRFpzS0nWAoQyatDutLIbjvd/QdpLoshLJ4EYoiI0sy1hyZ+t+EkPsEhmIQO10ncraBVwQw54Kn24NmaKiyJ8fcRsvtnarXKckSAP+vDVL/qeTK9Y6GfWUfdL93r1sOm3deHbtsa2srMDJ22LFRFxfbz4AzJ9ra2oa9Ot7czvmdHAyON7c7ysVtk95XHelCz3P+3HfHpbu1Ks61+Xw+OgO7eXnaPQjJQpU9nNF9FceI06BoqM9Xxb/Gz0puwJQMIr5uav12Jk4nGuo///M/R+1zIYw5k36l+IXc/xP14dmMZppzqDDtTWxV5cvox2Uf+l4I/sAk9FsQseHtWX7QFmYH9jB4EP87wJeXP/0fgbtY41vBBt8qAIRkce7R61lSZ9+YWeVRrpqzG1WyCCjvfoyjv7OfGSs3AJAqCtKR9ep2I5GZgIpFtX8H5MXvJipKcv+HuvoPqi9CQGl5msqqJBVVSWpqY3zg6i1MnhYZdlyf317wAprEMS1BZs2I8IGrd1BTm6CyOkVVTYoLL9vNgmN6aPObdPf66PreTIyB7KIBrDu2j8GF/dQnJPzNfqydQaJvl7DxwSJefMHOQxAutrji2u0Ul9iLS6d/SCC9ZIegIjW2Wp0p2XSWKUWmKbR/uQP2BY9i8qHjthDMxjp3Re12GyIDhMggJOjx+2kJh+j1+9FkL5YFpmVfWyZdRuue80nE6wGQ5RRTpt2Goh6+xUPJy5MeflxB7rD7Gj9ZZ/BSHUfZ5u20NwtTtfAOKoSafZStC1H2WoDSNwJ42mSy7gDEl+hoM+37K6828d72zx9vfKTDxOSFSXejSWkEgtO7r2RWfMmI4/xWEMlVwOdgcFBM2l3pRBMaK0tWgAV1Wj1z0vOxGIpzFggWG8fyD/lxtimbif2HSXiqB+V+DdIQXC0R2C1IfV7BnDIkP6i6hiyZEJYK5q/dlw3CLR25PfncNknneEeyc7xAHYbhZNxxSlQKIaipqcnZON1e4o7k5o7Fc0txbo/rfXkx7k0zUCjW2i09L0qdwtvKSvZIW+iU9vBE6M/2cYaJbKk09s5l1vRmTq7MEFT1nCOEM2Z/+MMfALj++us5WNy/HPx+2LoDzj4NZk4b+i46OMiUR19CsixMSWLrhe/BEwyMmnWuLz6DIt82VDlOkb+FhDYFgPSkaoQkEAhKewdpabDngzub0/7ElOePofM+EJC47OqdRAYC6Jpkzy9dID82CbErzCTJIliawb7tQ/fKECb9/7EL634DVlSiNPup+NJszrluC6ufrmPb6nKkHi96OEP3oJe7fzkVgKC3HY8So7ysj1PeHwXhI5KVETJBBdOQkGSJal2htNS2jbnnaH50ht/vx7IsGhoaRsSFOq/OMzSpswvq6rAkiXVF4dym7fagdj9rDtxz3vldUUgi6INERiahh5FkD0HJ4rL1b3H7rKPo6g7i8ev4y3XuTp5BbUs797Qfw2l1rzG18g3k3tNp6ptDa1SAFzQlyZTpf2Lb5mvQ0/5h98td4citkdoX894bnOfihIZjkSQJIQn8mxUkRcKYKbA+6adICOSs06M82UDdriIZEkf/YVoeS8z6ycgypt8idbEgfopB6osqyg9NRJNAfdZEW6xjHv/OlvRCeavd3t3Os+6O6Hn++eeHtXf++ecPa8ft27F7924A7rvvvmG/O+kk26ml0Prp7qe7f4UyOBaK7smHO8Ol+xjHPm54NfRgCo/s4bjYObwncB4ERvpm5Ws7ZVnOteuM3TvFmHp3Dyj9pKQUMjInxpaNao/NYKuJZUtGqDL6hSrayTKeWzTk1Qaix8L/3xqZS2W082UwQV6fvfi6cS/GQwEZmStiX2KlvJw1vucYFH257xZHT8Vn2pM05NELNTEmuG853H7P0PtX3oBvfWloo67a0kzpni5MoGXeZGK15QXb6k/MoqHsCYQwqAqvYXefvUlnioIYHhWRSuMbiBX8/cFACCjPpvLMLSYf3ULi/+ZDUsHozG4UWLQFLOIyvFilsztsUXrdbkoz4Hu8ilTMx8M/no+ekTiqy0dxxEtLn4+uLDP3qhE8Soyqym6uvOYfdCZPOSTXUwgBw6A+GmVPcTF7xohJO5hUHqd70EPbQIAH3pzJRYu3UJWK87Gtr/NqTQ1bqqpJqx42rKvlO/03UBrazn0734dh+EglGmiNBhiMqwyIIJ9d+T8sqVzDJVPup23rBWja8MXS5+/B5+/FsgT9fVWYY1ymNjldI7owQ9mmbI37GkHiRgmnAIqDgfenERoEnynMwqSkoPgeFf/rMtLJFtoSgZqNhJRXGe94kx7HgSEpRbHM0bPz9UrtGGLsst4d0B29+eabAZg4caLdSFYSSXjjtuQioMQsGfE7DY03ldfAgjnGfLyW1w5NKhNkvqSiPCKh3qmBCZ57DJQ3LMzpElIMEGCcNDR59+XVV6j6lSMZO3F5O3bsAKCmxi4fOXnyZGDI9jJUcWd45qJ8ON+NltPakSAd24sjSTq2msbGxmG/LeRtXsie7GA0ybGQHX609x58nBA7jyWx97FH34aEjIjLhIxSounosGtxe0A7kubBwL1BAySS8N2fw8WnL0cxNWY8+yamaaIFfTSdNB+fy2vYgWmaZEw/vbGZlIc3UhbcSFvkdDJGCZIsoxWH8KU1AtEhb01nXrjZnfu9+1z7O8ZCsZCqk5i7w1hRlXTa4p5ZOluKsuzSAgyoi8MVx+xiZadg7RuV6JrExEEP9RGbyURVk/U1URrrtnDNh26juDhGXW03e+JfpM4sHXYvIhUWoXC/re2ZXU2jWTSsT6PFkjrPclXVUPUeZy46fhiOf0ZfXx9TNI3dlkmn18tAOo3XNEcwdPcYum3V7pzVkiRxzqI2emM+9vQE2dVbyaMbPFy4aDNh2aJ4504WdHfzx+nHYmQkIh4PxYYPWYqDsGOwMykn3tdPJlPCq12L2Twwjesb7yG962TiMQ9gMWXa89TWv4kknExaRWxa/yEiA7Z90alQdSBx07mKeIpM7wdThP8SRGiQ+aLACoHPY3/vjJff74dPQHxmCqVdEK/W0GtMDJ+JlBCEWmTCTygo/QrKHpDvInv/7FdLZkT1sn3VNHBQSGPnjp92WGEhjebDD9sZAC+66CJgiD06a4ebQbvP444EcGO0GgX5KORDsj9VwZxzO312M2tJlpioTqVbbmVT8atUahM4PXMZlmmRIcVOeQMZkeYJ3+1YWKRFEoGg19dKRWbisNoT7wRjSk3XBF8DbLV2jV434vvVyiqiWcPyEuPE4V8KgX6+Qvo7XqwJWRXjDhPliWwC9VKBeeyRkVXnXxkyCjVaI1VaPSGjdN8/GAPkb9DFYfj19+DyC+z3/RGIxlXKN+7GF7dVkjuWzkP37TujVHvkWACEMJlU9mTu82SVfV3h5i6EMXbViPYFuc5WFxt9XtYun8oOl1N0XQyu3CLwW4KzztvDomO7Aaj1GjROHaSkNM3q+n7qp7zB17/0XRbM28TEif00DVyBbo68V/Xa0EL6++JudimpEcccLOoT2VzuAtrGkE37VJOrT9rJpAp7zLa0F3Pf6mk09YRp7i8m3SyjthgY/dCd8tEtFfGxWfdwZeMTKLssSlMZpgViLKvrZKrkI5MpJpIJ87NtV6PXr6G8chsz5zxGbf2bw87r8USZM+8O/P6+0bp1wDCDFn1f1en9bx2rcu++AaklJrELDJKLdLQaE6PYQptgkjjJoOv/pUmfDJZrvbdUgXHq+Pp4KCEQfDDxOYotO2HHi+qDPOu5l26plV+EPs+doZ9wf/CX9EldtMu78VkBXgs+wT0Tf8KKyrsOOFfGATHp0SRfgM2BDQhgdmoeJUbpsNZTJFmuPgBA2CriWOOE3Hf5bNGcKpH+kQ/lAR31ER10sIog83UfePctIe4rk5ebYTtS/dq1awFoarJ1R9Om2TrWujpb2HAYyt4kMtM0c2zDiftzmHpHR8ewdpx4QncVl/y2Rvu8kC16tH7tS3ou9Fu3vW5f5z5QCRFgw5bhG/T3vgaTJkL1zqFjkskkpavWY2GRCfjoXTANVZb2aXfqi1bS0T+bquINFPs3E1Q2E9dnMTB9ImUbd6FmNCo7+4lMrh0R71nIR8DBvuz8buZtmibqKe2k2r20tRcjdoaYdVcdAxc1cWozVJWUMTElUTbZXgC8Xi+zZkF/X5rE38Ik1gUor03zm2/+NxWlLciyRVqcTlxcRX3pcIbsoBK4NiXxl2A3KWHxi3AHP+5vQGG4tqZQdia3fdatTaqurmaiENyXndM7aycw3zRznr8Ok3ZXnnLXTnd7EjvH+VSTa07ayZ9fmsqe3gA7usvZ0V1u16kGjDUWwg/JhMKuyRP4vvoJJrX3sLvNj4mE4Yd5M7o5triHVyIlPJ8pwlIj/H7HZTSEmqmPhnlPSGeSJ0Jzy/mEi3ZRPWElipJk8bF/Z8vGq9B1e24fjG3aXWUplUqxRd3IK/KLFFlFzJMXcoxxfG5cHQbn9mTO+Q78p0LGstDiAhG1QAErLMC/73jpQl7dhXIquFGo1rcbTjy14x3vvsduvPyyHao0f/7eI0XeaS7yfdU6yD/GvVe4Y+gty6KSWj6S+H/cFvgOEdHL8+oDrJQfIU2KhBXDwqRLbqHILMurQmiyPvAybdPaWLD5zL32fzSMmQHDwiIu26qhWm3isO90dH4f/CUdkq3yPVM/G5XR1SUAeAX6h1TMUxSk1QbmcTJW9bg9+l8RW3cM/f+tL9sbtBuSphPu6EUH2mZMxJL3fy7s6j6V8vA2JElnYtmLbOmaycC0iViyjDAMKtfuIOKKsz5U0D0mD35tK9O/uRhPVGHS5iBnbwaPCZW+4Swo0y5jxCX0VwMk1nkQxCmZ/ALVFXsASIjzSHBxLrOdG32STq+kkT7Eme7ClsWUdJqdXi+vl5VRnk6zYHBsqocBeFWTD5+8kz+/NJnd3cPNKh7DYFJygD2BMvQBiRaphp3tk0jjQ/ZYKEcZPJCYjClLHBNopThVzPJ0GNkToylWT1OsnhfaT+IUOcoxIZ1YdCrgoXrCClRPjJlz/srg4PkkE2OrUYqKQe4M30a/arP1jaxjQfIofKNmvS4AISAs7M15HO8qyqwaPpL4f/zJ/20GpT7iYpAWZTtFRhlBs5g6bSqq5WFyYgGLoqfyRPg2+j1dtEzYQFlkpIZ5XzigTXq0HNAZ4UiaAj+2x60kSWho/C10K5vU9UgIFhhHcbZ+wbD2CuZXrZUwzs/WuLWsYVLSvnLQOijktegw2unTpw+7FsdmvHz58mHtXHnllcAQs3ZsdqlUCk3TSKfTrFmzJhc3+Oijjw77/VlnnQUMMXTHJu3AzeAK2aT3Fu9XCIVqbru/dyRHR+p1s3y3Xb+QFH6gmFA1/H1Xl53VSG3twtQNhBBE6yr2GWuez4o1TaW5ZyGTq1cT9LZSGthBRJpBZM5kStfvoGJbC+2GRSzbpuPl647hLVRFx611cMfZO69py+CeqSZbAjoVDVEa15YytVll+oQpSB4rFy0gywott/jpe15FWBEkOvGQwF/TwYyP/Q0hSWTE8WSky1CEGFEzXNd1nglEubuof2juayZ+U3BFi5/edNcIhpbPmNPpNJIk0dPTM6I2ulu74MyXL0kS3/CoDKgqL4XDqCUlnDsQoS37LDhe4e7qWG7vb3d2N+c4jwIfXbadtv4AGUMelmd7xeYGrAGL/loJyW+RUrxYChCGWJFCVFd5IDaZpwcnYloC0wJJSyPQsQDT8PMoEjW+7TT6YvR0nY6QJCqr/oHXG2fBosd5642PHBCTdq7LseELIbCw+GP5r+g0O5B1exy75U4etu7jEuND2Tkg5+4HFNYOOtjb94XySezTh2IfGRH3xYyfe+45YGi929+MZ+763w7cfjAOCvkguVHIOzwfhdaV0Z75ICUsi13Kw6Hf0Sxvo1ivoChTkT2HwcK+U5nT8h4EglNarubvc36KrMikKgb2cvWjQ1h7Gb1TTjll1M8dJyhHjaWqKiYmewK7ACgxyig1yjAlg265i1Q2Y5XP8lNvNiCLg7ed7G86uELJStyLqrM4O6/uJAZOcH7+NYN90zdv3oxlWUyZMiWn7nbS3jkoK7PVmE7Au9tU4BZ8Cl3fvh6efOxvWJr7faGEAYUSCDjHOxvNO0FPH7TbBYyYO8OuwgW2LXpXUzbUx9NGOGbfj4EJZQjXZrGvIipCmBQHOhCYWCjEM3XIKZ1Ah32P0iVhUkXDa/K4FwMHhcwSbpXkMOcdoMtvkcw69hR3einq8SIsUEKgVOhDiYEGZPSIibDSOPHdkkcjOKkDoRiYVGKKIa92DRMdK6fljAuDHjkrXDmhOxbUZRQ8rnVptGdl69atAMyaNWuEyn5vgmFaCJokgY7AskyKdIPieBzBSGFgX06Q+f0pdD6w513XYIC0YeDzpQhMSNLbXU4q7kNSQakyScdlsEA1TYTFCL2CMEG3BF7JZJI3hpw9lerpRlVjzJ7j471n/ZjIgP1cf/zjI9OlFlonHRNXvro/qgzS67F9DUJmGE1oZLJxt/VmAwGC+ywKsb/jl3/svjZlN9zCn3ttcBzqHLV2IUyYYNfQdsx+zvq3r+MLJRfaX3W7g/0psLGvY92/0USGTqkJp6SMma3BHtZL8RlBhCmhWOqwdbQruAcTHY/uZ2pgzoi2HaFmNBwQkx7t4ZHyfNAicj8RuT8XBioQ+K0AE636UTfosZx8hdouBGdRddhCIQnRyVXrwJlMmqZhGAaapuWy6IwG50EttPi/0+vZ34xqox1b6JzuPOD7yiO+t2IUBwJNA2+eM5VzJWa2qL3hUUBR9vngjRwjmbReik/tQ8LAr3aTEtWYHhUpo+OJJsgUByGPme6r3vf+2qQtoDsACTkbb2pA2JdCDXoxkxKkJfRWBR3A0hEkEZhIHh1vRR9CAcmvYIlyDBGCbF4v0zTpk3W6JBfzsOw/CajQJFRL4DFAsiyMAlqlfK2N81k0Gi1ok3ZnDBNC4LUsGk1olgQZSSLmkbDkImoNAy0ruDps1M169ncjcd93WZZR1DSaJWGZgrJUhMF4Gaau4xUWxVqG7pAfLSVhCoGQQGRnldOylpTwZJ0HY4ZCkZzNemg6KYwhGBwkOmjbiW+55RYAPvaxj7EvuGN9o9YgPXIXWCAsQVmmHF3otHtbMbFokfZQY9RSRHGBFodjXww7/7tC7/eFQhqkfW3OB3q+/c0gWaj9sdLqjQYhBBppOqQmDKHnJpGwoEgvI5C275uu63bWzSxUVcVr+UjLCXRPmh2DmwgkSphQM2H/zrs3Jl0If/rTnwCor7ez+pSW2jab3zX8jFZPM7I8nB0uMZdyXfpT+OXhZczGQo1TqKRaoctyVG+OJKglDOhWSWQ/37hpI+mSGP9Y8fRex8B5SLu7u/nhD39IT09PLiB/NDihG7W1tv3TWeiczbuoqGjY54VU0oU20gNR4xQqm+kucu68Oin/nDF0ax0uvvjigtdfCGs3wP/7of1/RZntODahGnY2wQev70BOZajes5Mvh/6MeVIlu06cOyLhgXsuuNMpAgQCfmZU301Z0Jbo+5JLiL00l4Z7ngVg1/lL6V00Y4Rq1hHeCqnLnLFyfpdfsEMTFvdMt9hRDJZpMWnQ4qJ1GTwmTG2YTu8tNWSaSjBJI9OGsOyc9566bmq+cj966amkxTEg8nJ1Z/vxmhTh4eAAhjlyow0aEp9uL6YuPTyRhDs5ifMMOJ/rus6PfvQjAL7yla/k5qJjmnE0Jc6rO0xRCEFECH7o97FbthO5zNJ0Lt20Ca9p5ZilA2dsc2VCs/10CzpuR9X8+72maxdPvzUb01RIxyqJp+02j5oS5eKjd7Kpro7HaieQdjRUDJ/rXTt8RJs8TIrFuKC4iSUh2+HT59/G9Fl/wTAMMukwr758HslkSa7v+7NJP/HEE4D9/CWUODfP+Qm60PHIHi5rvobFHAPAhoq13FPyFyTFTrLz9fR3mGJOL6i6dc9353W0MMH9XSfda4NTVMKdwCaSzZRz00037fP6Aa699lrAnk9ga2j2hiuuuAIYCoV11keHgTvhUe6SmoXWxUKlf0cjGIVK+ObmCi38yf9tuwARcFzsHBq1OciDXkr0ypzDpGPecM5RXl5OXI7wSP1viHi6GRyMMn/DGXzj7J/sdSwcHBCTdqtonfef7vs8m3zrsfwmOjqlahkVZiUzxRxEXtUd98W7NwdnkXVenQHOjwF1bl4htlcoI42z+Ho8HvTng4gBHWt5Kb7sgM5K1GEUp1mlribmLywtOhtTNBoddWN0w5lc7snkvg53W+5J5q7q5YyZs+AOjuK04yymTh8KZUNzxsrpm7PhFMogdTAerw4WzIEPng93P2yrvr/7c/jld2FKA5xy7DZW3x8mbgX4WfxDXDp3Z87XYbT+u+O482PaPR4PLYMfIuC9Fb/aTnlwNcYJAfTHA6jRBNVrthFdMm9EDVn3RlFI/eeOJRZC8I8GwfYiCSyo7de5YL1GTZm9wVXWVfDwj9rY3LQZb7QbR7VteAR9c2QM5XIsoYKVzW3sekY0TYME+DMWp7fJlGQLy/tULw1JGZ+ZBtfC5sTiO204c8WJRHBeDcMgGo3m7rM7tvXSSy8FhgROx0+jpKSEIPD/LIuf+n1sUhS2ywoPzJ/PVxPJnDC/c6ftuu/MWfc8c1c6ctv582225y15jdZ+D+t3zSOR8SEEVATjnDZzO5mMztH9/Szq7yftUUnICsKy8FgmmmnyQmUlqxrL8AYNytIJFrW1k0waCAGJRC0te05gQt1LeLxRFix+jNdeuQJd3/ez7ozXzJkzc9ex1b8JPZvgYsmOkyjvqCJWZl//QuVofCkff639I4YweUx9mE8nP1fQnOOee4WiMEZDIV+KQpub+3fpd1CWNL+9/WW4jnDg3PNCmSD3pj0Y7Tj356MRPgfuDVySJLpFK7f5vk1cRBCW4PTMZRyvnQtAXI6DPFKgyM+fUUIJl/V+gT/X/i8eTxq9bv/T1I6py7TfCnBUcgknp07j1NRZHK+dxDRj5hFZCUp/Loh2ZzHW8pGem3LEy2mbriaUHFuvznGMhBBw5SWwZJH9vqkFYrbwTl2kFTVlCwJ9peUkDjCtngPT8rKj9yoyRgkAVUUvYHzQZpGB5i48fWPnlQzQXGTP+4oEXLJew5N99k0s/hDqYpVvB7GZb9N7TDu9x3TSfaxF98IqDLXK3qD3gbAuuGq7SkNcpTTtoTTtoUTzEFFkOj0SHaqgQxXse1sZWwSALydTLM4utFsUmV/6fRyKfHVeVePGi/7IzLomACpDMS5dvIZAXnY8GQjpBlXpNJWZDMWaTmlG4/zWNqbEoxRVa+w0i/hOx7F8r+t4+nUvIEinh9TOsvL/2XvvOMmK+9z7Wyd1np6cd8LmyC6ZJYkogkACIaGAMpIsK1iSZfs6vL72dfa175UVrGBlyUhCgMg5ZxZYWNicdyfn0Ln7pPeP09XTc2aajYCuvc/nA7Od6lTVqVP1i88vz1yP9uHDLht9W3Iu3/yy3CraLM8yuUl7mSlxeObkE3jzMSYG+Enwb0gJz4pwUeH9nG9ee8TtqK52VGfhUWnS/nqwfmahShGA/mApKcVJk4o0pfjNcLJ9aRKGGRO71K4rmTP82qGqquQeNnB+E0RVvLRC7YoE+QZvg7Zfswg830i4EOP8Xddz30nfZ755ldqJ67oV2XdgRuvwWx380tbhSHzlr/0mTKnZS1NL+WdSo5SWCRnEJjUY//2S35P3p5S36vPbS036WP1AQsC61fDiJu/1b259hLGJEA88ugwNE021OffdPYRDKqDOCbLzm6ClRBsoc3CXLBBUs2/iUyyu/yG6kiR8yh70dyjkn+yk9tVdpM9fC8ytdiYh74s/At6vYXvvGdi2gii4qLZnaK1vbOAX9Qm2Bg+iuYO02Bnen+0B8S4sZQXyILCLftJ02nsWJEPe8LAXZffSCy8wVdvId1WV3gtPKeOSn7m+pnn3p9Eq8OFdEyyNec+MNF9Llj25HmpqagiFQuTzeerr6+cEP0r4NevrrrsOmDFRSjfYHwD/HA6yQ9V4VdcJdSzgi/lC6ZmVwUQy3kPeL39+qt9qJFFiwQrY/OF7f8P98ShNVWlURZ9VB768Tf8+sWBykn2RCKlxjbidwXVcXp6OcnnTNjq778FxwbYMtrx2Ba4rDisOw/98KYpC1IiiFZ/1cCRETInNGm+/3suA0YeC4rGfqZW1Wf/4Jd4orqWSa8v/eSWNujyi/kjg3/NPPfVUADZu3Djv9/3PlYS/P/5+zcebDXPXkL92Qvl3/a9VVWVcGeSm6n8mxRQCwUWF67nQvg6UuXFG8n7Ls0m2o+s6WZHm7sB3sFQTTVVpdjrnn7B58N+O6DX3sEH652HAQUQcjC8Mo3SY5KWftXkUYQk4CFXZeoJmlJzx5nA8n8AMOsvyo2+6cxmZtEYs24uOxfXrnsXtrMfT0Y4dBbuOveM3sqjuR+iBJNo7hhCGTf3TOoOnLsWKhI7LderSLgMxwVAM7l+msb7H5hf1CTbF+gi6I3RZCf4qsQVV+1Ns0QbOXDPkdNb7G50sbhwTNjldJdXSTv95aw+rHxNBjZ8tr+MrIy4N5tFrg0cKA/haJsc/RsLsUxSeK5az/FDq+JffUxSX1uojf04NSUepO15wGS7bCs28v6q/9J0dW99DYrrhmPoXcWesQMOhQdqyM9r0hDrOd+r/T8lf/oH8R6lzjzxT4gSOL1xcbo5+veSDvqjwfi4w3zuv0vZGyIo0N8X+mWG3F4DO6dUsGT/tsH9/VIe0P28yEAjwUmgno8EEbVY9a9JdaKglaUhKGH7ea6n9jY6OznotNWvZvrxeuQ9U/lt+JqVsf+3acl+GuUMrHtCgxgTxP8thtxiAUdKYgqEgSodNU7OXchXNV5MzUlx00UXAjJRUni8dCoVoamriwx/+cEmTldeV2oq/Hqs/aMYPv5/eryVWCvwo1+rlPMp5rZTOIP9KKVOOwT/H/r7718GxYM0KeN9VHkVoIqWh5QroWHw58itY2cKIps2R8v0Hmp9vuxxz8+Vr2Dl8I4sbfoZalyW8boBoTYam59s48I7z51RHkvAHOck17tfq0/kcSeror6omYKYRLQl2tOjUxXsJMEKXleSvE5tR1D/CFm1z7qOc+23btgHwi1/8goEzV9F74SlFMpeZNKy2Z19nffOCOWPXNZ3BmjCbu+oZB75eZfPJDQeJFy1SkvVOrunm5mYMw0BRFBYvXlwa0yWXXALAI488Ms+dg9tuu23W9yYmPJKOpUuXAvDH1PO34TADmsoTukawvo5PFkxWrvRSUeT+sH///uK9mb3WKwXtqaqK67oI4c1beXqPnD9plZOflfLWSzEHAsu2sAoCEwgIwbQbpr/QxEIhwAXLqirNq7zf3/72twH44he/OGc+/Nzl4XCYZaygTqsnpSSZahtnQWRBaXw/q/kPbN1GVRSuL3yUy9yrQJ077kpsYZWshv5/l3+nkk+6Ur6x/N7h+qTPO+88YK62KV/LINtnnnlm3t8fKjanUgBcJa5uuR7k3jZfvXQJ2VcrmmMk1odqa5yWu4Rz7fdgYVX0j8/HVJYVaX4Z/WeG1IMIG5ZlT+XUoatQAoefhnzMmnRGyfOLujvYGejFLV53RaCD35+4+vgXqz5GmNtmhhv/szRal43tW3OOC6J25s2zd1/Loyt/cWzXdQVjBY07BusReoD2sMX1i21Cb4IdI6NmSappCkqBdChNQ652Vnrc0WJCneLJyAZarEaW5RcRdo+PtikhBHzs/d6/v/UDCGeSfDnyK1bqB3ihedVxvZZEwa5hz+iNLKr7GUZoGq1zioVNt5IOh0mnluAeZU1YW8B9a9o50BCledpmMB5hXHPosnaiYnoadHInQv0TbGWuf3I+DKxfTc9Fp856T8vmWfGfDxIZmaT7PE+AKjfxG4bB4uEEiqry2oIaJkM6iYB2mAk+xw8xF/4ik+UfoxH6FMEDmkaD43JJPv+2R6sEzWKQmi1whIIs2DycmmGhW77qt7zy0rUU8kcfE6GistBcwuuBV9hv7MXFJSdy3BP+La/oXs2Ds6xzucy66vibGU7giDCpj7A//DoxrYa0kqCKWhqt9iPWoAHuifyQIc2Ll1iWPZV3TX2aEUaPqI2jOiakpBAIBHgmvp3tIY+q0HU8ieJ1dS//HPsVH+m7kLgdLklFfp+mzLVLJBK4uOzO9XAwPsaB1lEGI1M0uTV0ZBpYnl/AwnTzLKnQ75OQEp7fNyj76pestC571ufBaDUPDoa5d6CDmiqL6y6YYsEL1XTXLOFjuf/BUNWLIGYqf0m/Xi6XQ1U9P2ksFptVO3Ra1xhuaOaOvTVk+wJkTYHIK+xMQZYCn1uerjgevwbt779fshyKjvJg7Ale1l8j5ITIqBlsyyZuxnjHvtNpDg3ips8gVbUdI/suBKIkTcqNXfqi5VzKPuwO7OfnzbdSMLzXASXAx6euZ7XhaUrHQ5MGuPfee6gNwcffDef/8nZq7RGm2hswa6tmHZeVciP9fsdyqd+/Lkr1ggmwuf8TrMz+jBbxImogy6LIb6nrbuDA6Fn0jXXjumpRI3PRVAW3bBf135d8Ps8zS5vYUxcGx0F1BAvTk4hYljMyI7wrt5vVBYFl/A9MtwF8GoPsn7R+/OIXv2BycTs9H7gYAD2dY8HjG1FMm6qeIa4+53xgfquGvK8LXY1tug5CYNbFcRKzCXeklhGPx7FtG1VViUajdHR0zJq7iy/2+vDoo48yH/yatmTpW7FiBQB/3NrKn0fCpBXBLwydvVoVny6YJdY/eU927twJzLUO+f2UqqriOEUiF3fm9zCjnfvTBefEhgSDCKGgCIHQNbTiRhyw2xkfO4uGxpeIRJKsPeV+tmz62BwLSjlkdcDTT5eFXWZHo6/TT2G7vpmskeH+1jt4XXuVKTGJIhQCbpD3mTegKMqcuAd/KmQlQiZ5vXKLpb9C3aGinitpqIebqXv22V7hJH9ciJxvuU5l+9JC+dhjj836nkSl+u0SlciE/PBnCkgLS/lnhmEwbYzyYPOPSKsJ0B2GjR4US8FxHNK59Kw2/Gthvn1pXB/BVrz7VFtoxT2KKM5j1uU2Rb10imarlj8eeh/fr7uXbdpBDgSH+WbnXdzYfylLeONShpvjB7m77SWmXG9jkmXjerUxekNjPK/sRHUVTs4u5pKpdbQWKtcRPhr0pRX+cVMdkwUFyzEZzBv8n1XVfDhhs3ojGJMR1GQQu+rwqwgNFQJsSNdyX7qVZEqjy7YJMbPAXp88Pgebi8sD4ce5NXgPtrBxLZeMOhPcMWUk+OXan7DIcbgg/xwqgkASWsffdVhtv1DzCve2PoaNjVZcLqaw+GX8dv7XxNfQj3NYgxCwiH4aCuPYwODKww+wOFo4rsEO5yNU3T9J8LyDaHUFQlWTrGi7n+6GINOZZhw3QG2sh4CWYySxlIOjZ5HO+/2GLgKH3npvk6xO5bhuy26evlglaccoiAirCqtJcRWGOHwfZyE+8/zYuRDT+WWYbhW2vu2wfh/LF1N1TIXfdtbT/aJBh5theSRJXD32NLrDRb3r8ueZLP8aCTMpBM+rCj0Bgz+2LBqOnK7huECXh1GJ5sSDIRz6Dl6GquSord9MNDqEdoxVxM4wz+aWwE1YWDypP1qK9F3kLOEjhU+d8EO/zXBweKDjR2TU8iwPlyHtAEll6qjavGTiBu5o+RYZJclzVXfRYLZTxeGRmEgc1Q4rJY9RbZqewCiqq3BSuguRdbmx/53cFH2Ul2p2M6km+Wb73fzF8IdosOJzIvdyuRwTWpKb257Gwi5JIjVujM50A4lwlv7gBChe2sqmqn1sqtrHOalVfNR+J2E3WDG61u9DKWkYRUnZSQmUqIvjuHx3R5hpW0VRoSMsGM+rCCHY3KjSrdnU6znCoRB2WJnju5H5pEIIVFWlurqag9kg3x9cjOtCtQZxLNZETb66Yop7+qM8MBCm4MzOH/TzYvsjp/2+ykDAq8X9w6pf8kJwI67joqNzRvpkFue6iDhheq0+7lrwaxw9w27AVqa4JBNnsPpRbNsmXvgoAjGvn7UnOMAd7Q/QFxpEIFBdleuGr2RCm+LxuudIkeKV0OucllpbkW/3SCHnNDQ07gXRCEi21B52lSa/FaJc6vb7xPyZCIRC5AYXYf+wgcI1LrxzEk1NExJ5QoGDM+vMEdRFt9NYtYstvVcxnVtFPNRDfXQD1ZEBFDfJg9EvMyk6qUrkOKXqBXbYq0gSY4e1juFMOwJQtfk1aAlpZTrzzDPZsrSV/UBuvIWAaKZ3bQyEIJG/kJ7Ms3Sro/PW9pZ+2JMVg9FJm/8caqc3EWCHqtKRsXgiZ/OBhoMsyU2U5s00TVRVJZlMlrRRyVN/pHnxN910EwAf//jHS3NfBfyDqOeHgQCvaBr9QvDX0TB/kjdL0eHyOjL6W47J/6wrioLj2Li4uK4za33I++wn4ZBzItuMRCJoRRY7tSwH39ECGIaFbTegKAIXBd0wkNuIP1YB5uZ7y/UntTbXdTnZOZ0XIp4ftkpUcV3uw5zPRQgEjpjfvyrHIK0r0uIl35frXY5pvqp0leI4/NeqRDR1KE1aasSl2J4KfO9y/uWcyPskaxtI+LVTf8xGJc3aj0r9Lv9dKUYnqGAaWVRVQaCguFKLd5gqTJQsT5UiyUv7qGrxemQ7uyP72RM8QA4DU03QYYbZp21mtXVkQYjHpAbd3PBU6d9rc4sA0F2N6wbPprEQ596mlykoJo/HX+P68fPnbePF6l1YwlswZ/UuYdVoO0tDnQgEgUCAvDDprRnnldheNscP4uLybHQrO5V+Ppm8jLX24sPur9o8c2MS/xSh6k/TZA1BT8rb4NY3FPhk1wSTBYX/vTkCqExYAWLqkR1C21JR5Npo0yxWx/N8eGGGoOqiF1NkTOfYvXH3Bh/hhaCXytBg1/PZqRuon5rJ7e5KtRGqe5A7oxOMojKYa2bMcWjBYaTuCQ4UYnQlrpnT7pbYTn7ddieFIvlC3KziQ/3vZqW7DFOYbKjZREbJcFftw6zKLDvmcfgRGZ0CwFUUMtWxN6qXdlyRr69Gn0phvtjIlhUfpS66lZC6lWhgGNwUk6kWHFejuXoP4NJQtZtYOElX/dPYTvEAsVzCgQS1gWE6GoboMjbRXGhhV2ApSbWGX9XAhw4jBbYgoKAIXlvZzmsr22FqCqcQIpue8YuaqsIkQZr1HI4uzfg6IWvuJn3pcJYHJwUHHBUE9IQ1WjPw89EuLogGWBGapi14ZEQVR4tqF76Wy/PLINyraUwJwd8FDP7Uslg0KzXGxnWPLi7gcKFIBjJb4JYd8lsytZzU9BKNzd4eZ5kRHNsADk9Q0XsC6PkAmAK308Fp99bHNakPUKXEKYgC77HfT9SNIvS32zN/AgC6G+DC4Q/zcPtPGQjsxlS85yFuNVBrNh9WG6Yw+d/t32NMn0BDxRYOKC492jS9aoKl6ewR9+uoDulUKkVWK7DT6AUbTksupmmqirzpDcqxHc4ZWcGuyAC7owNsiuzjuvFzS9JRqeYy0zxbtQ3HdmlL1vCu8dNBgWDA22QMw8DA4GSzlpMnlpAwc/wy/hg7A31Mq2n+rfp2/mDiGlYXuub0cT5GKO30HMHXAuRf0LEOqiT+OYL95TSeeu2yPG6h6xqNOnx+eYZfv+pV8xp1osRjVRAvlCRoGcE6OTmJZXkRf4FAgEgkQmY8gqIIoprDP53kUSFqQsNxQCnbCMqFvDeKYC2H/Hyr2MlvgncDUG/X8efjXyLqRsgoM6ZuVVWJCI1LszXcFrAQtsGmXJw20tj6ND3h+9GzNXSaF5fafj62kZuqf4srXFwLzhs+nXOGTyNoB0gYnhnonb3ncUvbPYy7E9wcuovTp45PYJfjOOw5GMftCbIjeypLmgdwVWWOFF0p8tRfnas8iEpqOZXqRNu2jRX21p2WyeG4KqPJk0inPeGzPOMgEryZ2tgwLTW7sO3tOA7094+w62ANlqWQacx5VeEc795fN/4UG51zmdYdHjXyaFaGD6Vnc8ZLJJNJHo0J/rNDw1IV8s0dCGBBvIbVQ/vYGFEYz1WjJgVN6hbofIwfrXqBgFEs4qDrdGbauOHAtUQUT7OSa+iPawb5u9FOBlUNS0BP1JuLg3Yn7eM23WIKx3VxLYvJyUnq6jy3kvRxSp6Cyy+/HJihvTwUpAYiC/NIjoGPKgr1jsPPAgYZAf8UCfOv+Tzd3QsIhH9Me9cDDA2cy55d65gvascwdIzAGLjes1SuSfszF+R9l5qcXA85RUURAtsSuIjSdV7LRflaxx0I4eC6Gvv3vBvXVQ+LE0DZr1H9vUb0vM6e4CD5aJ5NX93MOcYSBIIzx73I53QgTZp0aQ34rTx+64/se6U63H6mNji0Blypkp2fSc9fb/3CCy+c1Uc/pFbvjwGQ70u2O3ldOUZ5XZmP7Y/N8Y/ZvzdUYmfzZ/+Uz4uMZQmFQixgMQoqppLHdV2qzDqiuTqMqUjp2qXqbL54J03TGNZGmQpOo6GCEJyeW8tzkUdwhEMO2G6McMYR1jw4ak16a9NMHuHpyaXzfmfddDe7owOklCy7g/2cyYyWN6xN8p3u+8hoebBh3XDXIa/ZZNXwlfH38nx4G7+qexIHh/sjL857SM8HoULVF3IkgNwLGtYBFef/RjDOg3wIps2ZG7wgYnFybR7QyNkKBTNIw2FK0UnLW5j1gbnBJcfD81bA5FeR2wEX3dX50vSniLqV/f5RV+WUVCOvigJDoWmGp86hqeZp0C0mQ9voTHuH9ObwDn5dfxeu7WI4Bu/bewVLkt1zHvRTp9ewKb6VXeF9vFKzmdXaonm1tyPFnoNxbrlvGZE9MRTLJjZV4LypIaqrpN+wSAdpzzz4AX9pp2OAFSsSzCTSctef93uJbBO1sZmCK9lCFT+5o4GRCe8ebF/ZQHDJDPWqkVW4Zl+KX5xcQ94weK0mwHuKRUMcMXtu74kLHogLrMSMEBHMW7x740HqkjlOxzvotjbu5smTX+Q5VUE4DkJutrZNT6CHn3TcxI0HriPkBAmFPHKNrlCOv2jo4e9GOhgqC7JK53S2ZMPss8NU2/oRW46OBVdYNpqw+JGhkRHwK03h85HvoOkvIzIWLW1PYJrT9PWcNee3HV1PEAhMAwqFfO1RXV93HFxHRncLqrU8U1YA1CwThTjNoRF69r+fxHTXYbUXGY7R8Ks2xq0kE6GUZyVMCxZ/awlb/rSHNeabH2NxAkeHhDrObc3fQAhBe34p7YllLE6dTCRdQ3Om+7BOy5Azsw++L3klk4GXWWMHyCpBsq7GmJrHwTmijJujOqTHJsZ5ft0OzDzUZqNUH9QZYWSOrX6ZaENpFriqywPxl1kyvYCQa7BF3c/Pah9hykmBC2cML+bkiW5CVbO1nUoRgufm1jCSTfBQaCM79F5GxRR1jiflV5IcS9oWeQKfzmM7MQobdJQelWtvU7j9OpvdCR2KNbmFEKwOmOwtbtTDSgOL46Lk25KadHlUYTgcRlU1UraO63rBJxIlbm5XIARoipej6ffnVpJsy8d1S+xuDqh94MLlmQtpt1oo2IVZ4yyHEIIzM00c0KaZDCR4tOZlrrFVwk4ByzbJZDIM6SP8pPFmHNdGs1Q+se/9VI9EyZItaZHl0aqr0ot5bZUXuPRS7DVO2n/0Zu977rmH8akAv7lvFY7tohT5kYedWn5+RydCyJx3OSei9P+6mizvuXgLtdXZ0tz587hln8vHMB+bVbo6So1tg21jD46Sr46W7o/UJlVVZTBxCVOpOgJ6muee38SWPVXkCzOPkmmpTI9HeKW/kd3KKQxMLEVXClSl8vQHNHoU+L0qzyenFoORZnEjJ0BNplm3awjdha6hafRMjhyeJrC3s4fnTn6NYCaDoSpc/GCSFb3es7NzicWGNVnS7OFb+gsALBxv4H2RPyMSbmFRJM+fN/by7aF2Eo6CG3DocXUUw0EJF8i6OlHXxHGc0til1im1oPJ8ZBdwhIbi2r7Qqxn4I2qlJU22e7njsNV2eEEVPKP3cpU6zBJUgiHv/rW2v0hr+4sly5N8NEoR+vlahgYumXVNv2ZVSfsJuC62XWQhE9CiZ5iyDHBhLBenKTjE5MSCOf7f+fYZ5YDGintOIh3MMRyZ4p5PPEE4GeTCW88kNBXg9aGDtIoouja7L34NutL+J+fLX29azqvfUgmVLXISlXzO/shlf5S8n5PAH0Mjnxe/xUquIXk9+Ts5thKJT3GflTn8cs1V8kFXKqvqZ7WUc1NuZYvFYiTUce5o+TYpbRLbtjl16lJOGbjMi8dRVdDmWmH8bGqmyBMn6vHQ4vJk1Z3UiSzCEazNL2evkyclMoyLSaoLM+yZh8JRHdI9jROkQnkCBDh9cFFFPtKQY7AysYDt9f3sDQ3yJ5EfUmfFGFKLTjkHLhlexykHFxwxp+kycwEPhTx/7LiaoM4+/EELFaKfS5MigrnBoGVMcNnNGi9/bGYBWDt0IveEUYVLTod70zVYEzZaXlBwFFK2Rt5VKNgwYQXQXJV7R+oYc6L0Z3WEgObgXE06bXnjDKpHp1OnRJqnwxsAWGx28a70JW/4/YBZRy4wQTa+nfOHTuLOwBSJcA+bXJuz7VoCpmfSfCj+FGax7OEHe95DR7aVBJW5rDumW6nOVjEVSrC9Yy9r9s9vTTlc7D0Yx7EFwnb4QvQ2tptd3KVeeMjfjU+G+PW9a/jguzZTXZU+5PffCNLcDaDlTSp5aB3XYHDSSyvauG2wYnuJVIDdqTMBr9ZFPFug/xCZDgDhgsWlz+6iOpUvbQByJe3t7OHZ014llMnSODDBH/9HNUv3xUob/jtfVDGuFzx9yozbY1/NKD9L/TUf56+JhFtYHM7yL117KFgWAcXli0PL6CGA67qkHA3hBtmfj7HSEQSUuevUdBVeM9vY1n0DmVAzllJ0T1lJ2kaepnHi1SNOKf2IlWej1octEvxUuYy/tZ5mqO8SGpp/BFQuRpDL1dCz7xOYZpwK59AbQndd3OJj78KsaPe0efgMd24KTr7nTNSCxkDtBHd/8jE2XrqNP3n4A9TlY4wHkowEp9kTGGJFZsGRd/QE3jQ4ONzZ9B0SmueWWTd1IWdPvId8xR1gNvIiy52x77HX2AxAn95DQdiYdpQ6u56u/EqWpC/hm1U/BryMmzf9kN62YADXdVFy0LmvmkRgtn+hnIHlkr2rSQZyHAyPkHfzDIg8rg26q3LlwVM4Y2wJheKD4ecE978ul/Z6xYj32nVpztdUTDT3/7a8upH+yTxQi/pYkNphhbN+YcApKnavSu4bUYQl6Iia/PwCsIIq9441USh4kp2shqOqKgnbQHEFj43XFbU9l+agxZXN0yjKDM+068LelAEIao2ZOtTl8EvJfuvES5FN2Ni4Lrw78U40V8XFnVeKNk2Tpv6rSC34PpaWJlK7kVBkkrRmsgnButRC4gPnsM3YyfPGy9imzerpZbQPNpEiVbqmlIr91bNOnzyJx2PPM12VZLL+6ItTOI7j5bt6d4pudZDT9B1Ur3LZF1+AFYmClGiZ0aTGp0K8tr2FZNrgl3ev4aPXbqOuOleSksvzZv0SvT9yNpvNUj0yXprHpAqFXG6O9iIrRR2uP1Z+78orr+T0rX00TmUwNQX/gi1FsxYKdA1NE85ZoKql/j399NMk2jNsP7eHwJhFV9Lkq9+JsbRHZ2zRInJLvADKSCTC1QmXhbuGmYjn6FP2salxP8PRBL+e+F/cWPgnnFgMFQgoLo4LZFUIzjxbaUfnF+PL0SddLq8Z4OpFM5G5fbkgNxWWkbADBLsLBIGREY9PvKDF2N96JePxVSw7+BtUp1D6HVDycc/Httei/oyrMLmTs9khlvOCdREdxiTJqb+mp+fXCMWaw+4WDFYzNbEcVa1Mz1KpPnwpZsU0ARfX9f7LFSxs28F2bBzHwrQsEskkmfRs36y/XWcr6AWdjFHg7hue4MVLNnPJ6Dpa8jXUFKJMFqmFb+/aQNX+MG3Z45tGegJHjyl9hEl9GAWFtel3cNbEu99QabSxihSuLqbIc1vVt+jX9wCCFCaFYiC0gqC7sJqrJz7LtDqjQOyM76Ur1T5/4/PgqA7pdLBo2kBgqm/sE4xYQT534HL2RAbZVtvHsDHFslQb66eXY08cfY5mr+5tDHV2FVE3dFRsMFKjzk5q8LxB1ZBg4m+rUCcUXBOEcKn7vQmuWOpycFeUrO0jtMfFEHYxQlSgChddge5Ink90TRLTHSij4bitJ0JfMWCoM3J0vtSRorSnorC0sJBDkWKF8i107r+Rg90/wmKas7IR7olN4dgGr5utdKhZfrbgVlzhIhBcOHT2YfdlzehynljgmVR3tR44qvFI1MSLwoUQfCP1fv468A9cNHUXV46PYQVDjHQsY2jVaeSj1bOEwWi4wDMbO0lnDW66azU3vHsL7UdBhqZlcjS/vAMAK6BjhgOH+MWRI2g5rB7wzHh+d4Y/9W4+O0u2KY8rIGKatPcrLOhX2fiB95Js7ywJUrIcZSvQZRic7DqoY3/Pxvqd9NROE/nBv5O5/nNY0SgoCgVHKZmRaxYkmFJtTKuovbuCeyba0KIZ1lRleGaskaen6sjaxah/kaFNmSAw/CyO0BirOYm8HicR6WRv+9Us6bntsB9LoRzkOncv94ozMd1qXlMjdDCJ68QYGlwHzE2nlIRCR6NBl64LJYYvF4Fd5isU4sisXV1d3Qwxzq4V+7Fsi9OHFmGaJgYazfkaVE0lH7T40fJH+XDfO1id9PzT/qAsCb9JWQqM/r+VTNLlbVaqKV8p5cpfm12692RAl78df1CVDDL0X1e+X3JVFNe7XymR5m4pFMvf+WvJ+8me/P3yl56Vvyt32YwZSRTFq3/eMN2JWTBnfbdUiCjscFf8PzgY3M5cCLoLq3hdnaDOshEIPj7+AdanL8TKO0QI0R3oYG/oAC9Xv845+99k7u7T93Tx4GlbIaLw2smDfGx8dnSvvJFysSSmEjRORWgfXQN4E1sgW4rwq8SKU4kXGaBPGcV1XVqtunl/+0Y8zuXfs12L6Gen2TJZz4Idgt27A8TCFk2aS+yzKZTTLNYBf68PMGWq7N3fgyZsksM9aNg01TXyV9o0wWCQf125tzQWf4Tmg4Nh7h8IIwQ0Bh2u7Zzt563Ewe2PRmywanEBG4cxZYJGu740p+XfL/+37jTQuePzDKobiCkWK2q3szua5HV1F6+370I4AvJwcc85hEYN1CKvrNz4/ZHREtFslOXWYrZoOxloPTKqu3I4jkN3+wQrFo2wbU89A1aMf7Ju5E96v4FoVDEyKdp3bGTBzlcYa1vEgTXrSdV6ubtnnOTVmH765Q6yuQC/vvckvvLJbRi6O8vy4ve5lW9CwrZZdPOjqOPTOLjsOnM5weJ9lOtoaMiL1Ja5qmee6ZmxN2zYcFhjvO+++4CZfFIJvz/Sb62Qz8All1yCpdjcL55kOraLvd0JvvB/phhpv4+u4QW8e+8lGI4+y3ogN6JY96UUlCH0qWm00VEW//0/ApDp7GTvh25AZgMqmkW9kUVgcVlwO4+mu8i5GvcP13D/cI1XmUsBXXO4rLqfVexDETC93luDyexeHrRPoY8GaGxg2SkLODkwWMp/7uz0DiV/9TUA2/wEYeNvWMggu4TKdi3P5b7I3nIubJjrEyxvz1+pzc/oNyvXuFDwuP0dm8Gsi2kXUDUbxcnh2A6FfB4hZvNxf/WrX2U+TBRdRNFCkIg94z6JmxHOG1/JQbcfWzj8sv1J3jN4FmdOHZub6ASODUl1kvtrf1J6HbPmD0DMiTR31XyHYb0HMU/Q19LCOs5JfoCHav+JaruBM3Inc17ay/22i2bzM6bXsjd0gJyWZyw0cdh9PKpDumu4jraxaiYjBQ7ERmD+inZvGnr0EQY1z6/dYTYec3vLaiy+9YE8g7fqrNquMJTUuPOrk3xpfZ5gUbgNqC5NqkVSLwog4vA14fv6w9ze5236ccPlT9akqNGPzifdac6YSW6rupfPTX3ssPz5ulVFdMTjfn7H3oX0nHs7dmBG6DlpeAVnDqw74v605ZrZEt5JKnBs/mBFgXddsJPI+DAHXcEBt4N/SP4x1569gfbkQapH+8F1qe/bQ33fHkY7lrLrtIswQxHOObUX2xZseL2TVFqnbzDKwo7DLKruuix84EVqej3LzPCSdvpOWngYnuO3HpqjcvmL5/PcwnEmgglwoXp0hANNLnfGHuE9m+bGJxwM9/Ng85PklWa0QoCE08xYVRVpLUQmG+SxZxIMnVJMIdEtlCLH5prgCI1ailsSK2e11xnKcUndblqNLEnfFOvC5hJ1E7c655Fyg2wpNHNyoLLPfhbcbuzC/2RN4DF2Ke0MKGPo0U2YqXcczVQdEcq33D57JgOlITB2RO1kyJIii6ponJlcTjwex4gGSyUqL+Y06hJVfL/+XizhcE/ny4hqjXdOnQJUppv0l02Vr6XbQAp2frKX8t+UB0rB3IIalQhUZPrcb37zm1m/l8KmP5BOWjeqqqp4LZInHSpwa3WC3UXr6/9aZ3J6KsCS/TFUdy41rRSmJMWsJDmR5T+lEiTHXElQ84+jVNa0TEBMqVPc3vRNJsUI2LBifD3xRCOa7rVZKsoSdri7+nuMGH0IFBbl19BuLsGyvfmOmjUszZ7CHdEHsWwLx3U5f+SMEo1oieDFCWDVW1i2xZh5+IfmUR3SqqoSNgMkVIeAGiiZIvz8rFJa9f+VlUjka/l9f+UhPyetxEPVG8H1zLNnp1eW/En+PpbDr2GXtzmiOqTPHuWxpgjbH4swVg1D4RDTbo5/LKtdPFlQuWuqm7RjYCY16twpVgcKsx4Kf63jZ8fC/LY3hlAEMc3layumqNXtOT4tv6RfadF1FRZwSm41rwQ280pgMy9oGzktu3beKE1/rmPJEjHtcMXT53OwbYBQPshqYzktqUZqqmtm3Q9/VKmfQ9lxHKKKlxPuKA4WVok69EhQimjH4Q+1/8Ot+jk8U1jPDm0NXx9axwfftZHY1Ahde7fQvH8bwnVo6NlF7dgAWy69HifexeLuHC9uLkZ0Os6cKFD/PMo1Vvv0Jupe2YnjuiSaajjwnvOI6Fpp/mWtY/k7meMrN4lPfvKTs9qbnp5murOT7dn5ffSSo7gSrrrqKmDuBqzrOrsaozy+vJmsdgZWsofu/a/RtvkXbF3Vw8EuwTfP/Sm6MWPtUNWiSVFr4sDgjTj7T+KKj4FwXHAchFWUQHNZAk0qV2R6eMiyMW2HfdMuI4F6AoqLqSiEVYczaie4omECb6ihObnHcsM+J2fxdCJCJlBD9zKTzpb6Wd+rWPnN6aLGvBrHGAMs8uG7yAxbCOGtS38VNv8GXQ5/taZKbGAmYOsCobgojluKIbm0cRsd8QkQOtXV1Zim9ztpUp4PeWbM1QtTTfO6olblOvnK2Hv5bt09pEWW10P7S4f0fyW8EMvx64ZkaT4lbOHyQizH3jUhLt985MQexwspdYrbmv6Nac3Ls18zfR5njFw1R+HJiTR3V3+PIf0AAoUVhdO5KvEZVNRZOdwFTJ6NvATAwnwH7WYrNrMVuVCZZSWvHb6r96jzpN2iv0Zx33q2nB7D03qW5duPKKq7Evo0FyVms2BdAqvOZHBzHFzBzqSKGbXQEexOBvjB/joGc54mndK8lKOXsgGGnCpqTYXxgoa/N48MeptDle7yp2sStASPLa9XILhh6jq2Nu4kLwpsDL/Oadm1R9xOfaKGprS3eba0NB11fwLOjISeJ39Uh7SEVsgRSYzx+fAPGXHa2WTXMTwWJ5UJIGoa2XHWOzmw+kwWbXqGxp6d6LkMqx/+DRsu+QL3PDYzB/Ho4eX51uw4SNdTrwGQi4Z49eqzMPTfzRLruxqj3L+qFVemoQVamazTaNjpsva1/2R3eISpxrlWpZzawGD4SvThhTiOhqvN+LuVPAjTBMchPqDwYs8yeswYjgO/zJ6JbnmHcAzI2AoPj9ZiuYKLY30ob/DYdwWSPE0TLrA3HeBIMoNrnCZsK46q7WRSqaKhejMwP1vh8UBW9zIxXEegFsO81wUGuLz+lSNua7xnlGx9FkUVHIyPsT5/ErphoKozWpwR0ThFX063spGdWi8xES1piX4qYyn4SW1Qvi+VG3lI+AW6ct+2v/CQX/j3u9vkb2Val3Tz+OEvwCH70NbWxsZam4dbsqh4dKtr82H6HG8tLXbDHNAL9HVE2RSKsfyx2UUr/ML1Qw89BMz4pP0pWVLoqpSy6i+84TgODja31H6dKalBT6zntOErSxp0uXJyR/W3GTIOIBAszZ7CFdOfnJOOZ9s2T1Y9T8JNgg1njqwjnU7PuV8JPYFte0G/qvUml6q0bRunOAnTegahCASipGVIqdWviflz6WTnpZ/P75eTN8Cf26g6Co7rotnqIblbK2lU5Qt5ed5lbUBhk2EzlpuZvBujoDouOxIa39hTjeN6farTcmTTXko6gOWqTJgqf7e7k7OmTc6tT1Mb1nhuNERfxtsELmzO0ha2yeW8OZCL0u87rzSe8kUXIcSifBdbg7sYFqOYpjlvFRh/0IbfpywfLBlsJB8E+QDI+1deH7W8j67rIlxRCjxyjpCq5Zvf/CYAra3FsoCWCa6LHdY5J/8qm/OrEKZFvgDhoI2u6+Rj1ey5+L30vLSD+x9eRE++FWtXkGSzDqrgnFOHaKjLQxkneXnf5YMT3rCFrodewrUdLF1j9wcvJtA0wxMuzXBy7LL2soRspzx/GjxzXDQSoT5isMAxgMePaE5kwIxc+1VVVWyvC/HosgY0IdCF4LTxHFsVmGhtZdfZp2FkV5EN2IgsWGXKiSUECIWFw0HyC0ZQEjA9HSnlmyvZAoGpKSLpHG5tHSnVY8WTMAyDZiNPY6zA7pQBuDw+Vk1PSuW6xgHixTRCf/xFt5JHjAls22bvNKwtzqXfTCvnWh4gqVSKgq6TqooRjqhMuGHihVzJhOqvTeyvkFSuPfutdH4u6ZJFRVVRFAUhBIYQ6LrGRQ0JQqEgmqbh4j0PudzsPWs+aI6CXtx8hwKTVMrgcXEZVbz7HHWPnQTodwkba23u7LAIYRB0FL6WaGaRGeQ521vPXxlv5P/WjbCdNJtrXZa/DX0cM/qZKip6K6bPYv3we+Z1GaaUKXqMHQgES/LruGr606ho2BRwcZlWEwxpozwd2cCrkS3gQtyqYnVy/lEl9JnKW0HLmPc78+Go1YZoNsAoeQqKxa9rn+SDE2++70gi6HgDzIvjU8FHQ/CFpM6/x+DeIutYpy0411awXPjFvhiOC6qAa2oPckp0ghcHX2FC1JCPLeGgsEtsWC9PhHh5IlQmsXrXOLn2+FYbarIa2MouhvUx8qJw3KtRHS7cIzyY3wiK1CTCQWqLh1VkOs2Dz5zENRdvRHKTTE4H+dWuj2IHMoRyEwjLQk8nOP3CPJec01+pee8auQLtT7xC3XNeTqOlCF6/4nTyTUfHWDUfYqYDOvQ2VhE5fQUtL80XDXp42FYX5q4ldSAEmuPy0QNJFqVM1o6OcPtJrRxoaKB6dJR4sfzkfJuNEHk+8MjNNK86Hbs6iKLpjAxbGI8+zwRhMorBwXecT064DIscApfLA1s4raOOJqNAc3MzIzmVr2+NMJw32J2J8n97FnNx9TBnxCdn+XRdF56entHorSPkqI+WSQlpEQJSlb98HLCz1tPMmpam0F92iKsFatSj4zAXQqDgKSyO6iKEmB3MZtvYlsWImGKMKXAFC/MtcwRsKSRLwcKvkfk1bPm+X7kpRyVSE39QrrzW6KgXCHrPPffMO1Z/KeDW1lb2xuHBpRoBNCJC4w/TLSwTETBmBKraQJjVTpT9wSyGK2hu9jixpcZeqVjPrbfeCkB9vWf9kwqFn+jKr+HL8chg5nw+TyKUwHa8+Wic7C6Ry/ij5pPOJLhgOhb5XITblHsZ1EcYDo8yrk+SETk5GWCDcARX9VxEctJzdcn7I+/jZGMCrehKWxE4/IDBo9rZv/jFL3IDCT7W9z8ZCyR4OrKFYEHnQ0UOaNmpEj9ucVFJE4qfVUZGecsbPpNaMTu4ocQoZeu4jkOSbEXNsxJzl//z8u99ZtyltcriFlMh4sK/b4tQo2n0pRVc1+bK5ilON7JACENVaGaa1vAAj6lJtFCUU6vTvJas8jLoimfXwpjJdZ0Z2oM5THOuWcfvK5WoVIVGfm9huoNHw09jug471N2stjzprVxb9tdQlQ+vnFe/hUL+NuKLbJYL3Z+LXSgUyDiZ0v0McWRawR/8wR8AM0Ephm0DAjugs6B9gjMObOWl1GoSfTXc+ejpfOjqreTyOrc8sJZUxkCJhzhZ2cQSZTcd9dMY57wToYh5001M0yQwNs3i/7gdI53DdmzMoMHe911CobO5dLTJeAm5BuWcSCtRpXiJcmvROwfS7G0PkNNVDr7zDBCClhcrl5UcWbuYvnecjBU0GFzgEV2EZJyGphLAs+h8qjdLt6VCUKWxKs6netK8Um2QUKuITwygZTKlmu7gPWfR0VFOeeE1lu3tx73vKVylWDvZtktUorvOPIMmYzuFQoHnSKOqKqtDE7SGqgEVTdNojcIfLRni1oF6XhgPYboK94438dBEAw3F0qiWK8g4GklbBxxCmJwUGGR83OuTrOzlfybLg3wmDR0nFgUsVEXBMIw569HPJiXXY7m/2J9q4z+4UkLwWGsLG2prwXVpqUnxrug+FkSckqXBLf7Pe/YOLWxYikNB89ZF0K6sKU0rM/2MO7+LIYpHhy313pzpruAPEy0ssUIcAfvlW4aQNVOkZkPzPbQOdVNlzs1bT4kcO7RpepVpHgn8iuZcF4YTnIn7KT1qgpMTq7hwcD11hRoyZOa0BbA/0gtAY7Yew3kLNOkaqvjU3ov58aJHmTZyPF+1nQ9NXHy0zR0RCooMujp+Whx4GvUHQtBXbfH6pMaepIZdzI1uCFhc2JAgNT3/bwOKy8cWjJBT0gzmNEwlRNywWVXradPzsHUeE9rKqrJMaFMVTWtvNpKat+FojnpM/mjwDiSJRGeMG8fvQiRdXhxZQ8qMccs9a8iYBumst8DPO2OADxqv07HxCQA2587GCsfmaxotlaXrrqcx0sUAr+ZaNl92Onr74VW3ORI0ZS2ueXmQO07rAuDgpacDzHtQD5+ylP1XrC+9tooHRKH4VwU0Fz7Zm2VxZnYoiu7AKcPe/KtqLcRqZwUk5vN5REstNcpOoGipsG1EmRvgwDlns//kdYc1rqDq8pEFo6wJwe3DzQznNUxXob8gD5qZ57FaLfCp5v3UaCZHss0EbZtQcAghbB4MnMdi66XD/u3hoCAEzzY28Ex9PTlVBdsmZFlct3s37YEUQe3ozc+T0XSR4sLl7PHl2KqNWhbEmMtmMTN5atIhlKggL0wed19h+VQLCsocOlA/baiEX3CXgqNfo4YZwcafx1zJhyuF1N7e3nnHuH79+lntyDKmnZ2dxGsTaJpLo62zzImAMjeoTy26F3RdR3cVurq6gBkNWhLjyOs8//zzs36/Z88eYIYYRwrPfh97edGL8vFns1nUbIB1Yxexqf5x0sY0t3b/K5pr0Gi3856xzzNqZrij+gFeCG1k2gpS0L10qQFjH0sSK2lJtFFTiFObiVOfq6UuVU3MjGLbNlNMlfoqBcSqqipyIs9gbARN6KwoLCEajfKNb3wDgC9/+cvzzrXEMe2qelKwYqSV5yJ7SIgMU5lpdFcrSbhSApYTKReCXEx2XGF/9Qjjk+NotkI1tRiONofDtlzzy4kCvWEvIq8r11S6uf6b4zfrVMpHnk8qf1+7xUC6mpGchuu6qMLlox1j6MpcFrRAIFDyaWmaRkwUiEUKBAKyasvsReLXoCtxSfv75a8GM2AM4TieF7iuUDOHu7Z8Dvy1Y0u8xT5TkV+z9ges+DXplJlmU3QrdtaifrKaI4oQKsP1118PeBr1dGsnVf37aRzew5bLruTGh+9FJAUbJldjvqpgV0dRq3TWrx/iHWcMkTtYX9JxQpk0mVh1qV3LslBzeRpf2Ert4xtRLBvbtulf1UnfNe9AF6I0J9IHLQNTpFlNrlV/1L1/E5CQ2mI3BjdsH+OXKxvJ6cq8B3X5Ad3e2MTKoQRtmeL9yxQreuVNTprK05x3yDJzz5qammZd32/ugxnNcugjN2C+vhltcHYQ0FhLMxOLFqKWBSApxZrKgUCgZOmS60K23W3k+Ep7gq3TBtsz1UyaGopwEa6DIRyiSp6zIsNU4eLFpfmtWg5NrQ8Ri+1hePAyMunlxbGoLG65h2uUau4VF9AjOvmn+GmsL6Q4aXoaxWcZ8pt/yw+nUvqMrrGtqoqhQIDRQIC9oRBpvbhHOTatk5Ncvms3Nbkc+bIx5nI5bMtGCEE+n8cpBki+UVWpnO71a2GmmW6avIi7eaCjsibTxcuR3WwL9fAvzbdy/cT5LHVP0IW+VThl5J04OLxe/yS2sLCFRa+2mzur7+CF0E4ySg7XcamyamnP1WMZvdQWdKJuhosGzqY21zJvylslbI7twHZh9JnzsXOr2ZR7k2lBy6HbM03khYnuzrx2cZlUkiTVHFMiTSqYwsFhvGqCnuAYT7a/hq3Y5HPept+XTfOBbXOr3ZS39/O6RzCFDS4szR4+tdqRoDlk8/drxxnMqeyZhOagSVvg+PqUjxVWWZ72pD4Nx1lTPxw82vwMKc0z7aw8uBiOQyZJ/6ozqOrfj2Jb2DGXTe8/l4/e9zAMwYuFNYQmknwofz/v3LKNkfgacvUzO6GenIL6Fqq37iPcP4o2lSS+uw+lYGIWaVzHOxrZde4awodRcvBY0Zgu8N5XevjtKR3AbI26/IDWcgWuf6WX5mSehQujs9oosUcdQ39dVWXs5HXkV842t/jTlI4EioCloSRLQ8nKqX7zbi8ObR2/pbrGi6pf0HUT/T03kEouo6nlXmrqnud9eYXd7lJeNc8jE9C5tb2KB5obOWdsnLPGJ9AO0yyVVlV+1d3NgUCYQk7BCDuA17fmdIYL+vpoHRw6GrLCeaE6AlsBy7EwbRPTNBGmiuPM+Efz2Sy2bXNJ/iT2tPcxbiTZpwzwz3U3c87USt41ehqxgLcG/AGcfspgv1vHn+oKM/dCumP8pVHlb6XPdv/+/cBMnvKcMRavKYNNOzq8tV1XV0c4bCNE2stAEF58hF+okX566b+XAZn+iHbpE/dD9ksqfvL3sj9yPOWBlzCXxlXXdc6eejctVhc91dvZHd3IXmWajdHHCRWiYMOyqYVcNHQO9Ykadja8wEvt95EmwYMLf8SFOz5Kndtaaqt8bv1MZcFQkJcbXie1ZxmTT1/Ec8lOnkfw/mUq6jzc+H4c0yGdSqUYaprAtm0MR0NJu2TxFuG0muan9Y9y0BhBl2ktxfWRj3g3xM25KCiIomnvQM0om5t7udj2TCjl2irAMw3b2RLpQUNjRX4B5xvrSGQ8f7akrZMT5a9YIrVCf1R1pZxNx7FpMmzi8dlViuTfci2/XBv20+pVqs7ihz/yXfZbtie1GqlRr6hdTI0dJ2GkeLDpSc4YPYVqp2oW45h/85SfyfmUC91f3Shv59kU2Mpr2lbWZVex2Oqa9ft8Pk9/cIgnazaA5XJZ9yX87+7/Oe+4Dgff//73Ae9Bz9Q1leYgkkkyuWwxL994OWfvHmTxk09SPzXCqYHdiCGI/fZJXA2imSEcTaX9vsdoLbyGXgzcsGzPPGwD0zURdp1/EtbKRUTK5rW/v3/WnPjjIfybmt8KIdeov1KY1MiZnOTD20b42ZJqcobGwUtPZ+CcNZjFYh6ddQ1c+2ovZ9a3Qu1Mv2T8hrye3ITkuvBbjOZbV/6ayn6LiIwFKbc6SauQqqqlzV5SM/r5DyT8DIF+KsbyQ6VtwYPEqzeV6j8LYbOg6xdeQ8Uh2Plqrt0ZJlY9ycu1taRUlaSicl9DPY/U1lKXShExTUKmSdi0qBYQsB2iMnJbQDIY5PmaGnbtj+BYgqlBHd1xOKltmPPUAVYNDqEAWoXcbV3XvfeE9+9CYbbFaz5olkpBsxkOTuOk3zjrpMaK8tX91/B43es8UbsZS7F5tmYbuyMD3Dh2Oa3m8QtkfKsQd7x1NKqY3Boa533ZuiMunPRWQiBYmFrLAnspe6Kv0KOncN0skXyUj/Vez6IJTwApUGDZ6FlYjs2rHQ9S0LI8vvwXXLzr49RkD+0u22/0csDoJbX3Smqt6tKcTGVj1EUOXfPgmDVpWykeBMJhUktRa8XIKnm+33I/Q8bUG/520XQT5wwuJ907zR1nvIppwKNdWzj14HKqrdkBFSYW94c8CsZGu5rPTV99RDU5/6tBd3WumLyQm5vuJqWk+UnNzXxl/NOH/N2O+r1sWL6J83afRgstsz7LiCyPhZ7h0eAzTCteBOTT0Q0sDy/m6olLaSzMBFdsim+FImf5l/nMcbsXZiiKpQfQzDzx0QH6lp2MqyhMLGsjclIAxuMM7AzR9MpO9JyJms+g5gqoQKR3iHzQ8Monair5aJB0fZzBk5fQ3xQHISpZIN9UNKYLXPncbu47e4k3xuIBreUKXPtqL02JHNS/DR17G1BVvaf076nJk4lXv44oK+lq5uvo2f9pVDPGO4dHuHhkhE2xGE81NjIcMMgrCgf0KixbwRIKjiJwXcXzf7oKigqq5mIEHXQckiM64bTN0kwSBZeGPXlOrh3Dmq9zx4hAXiUdcEk5GbbZ+1mdXEQo48zi1s4m07MoS08f76JLr+GuhS/TF5uglxH+seFXnDa2iHPTa2jN1xKNzKbnlcKSX0DzB4pC5XK/EiX32cAAALfddtsbjlEK9AuKAY5Sk9U0jSvNWl51sjg7De5bNEXVLp3LFmsEeApBHpfAjJvPU7VnRYfD3GjsSrj99tuBGU3+pJNOmndO/Gmm8vNyfnM7ZbN89BzuX/BLwEJnlOoxg4I1u/DTGbl3Eh4L8VLLfaDbPLvmZt538GvEHE8g97vA5Nieqb0XRVEwJ2tptKpnYgks5ZApxHCMh7RlWSwfaGFr2wAW8PXW2+lINTBQNcm0mkaxVNYlu3mHs45qO0p1NI6KQjaRIegaJAY8/12/6OeKfeu4a+2r5BWT+5o38qHe80rX0XWdl0K7Sao5BILr8ucTV2ebhKRWUKom5AvB9yf1l9dGLn8tIb/n/+v3gTuOg+u6OI5DoVCoGMDg9z37/Rn+NIxypqny92V70WiUizmfA4V+XgpuYmdwL4/HnuXU6TWlMfg1mpyd545lD6GqGrc1PkR0PE5Hto18rckT4ed5NvISOZHz+uZQyoXfbOxgc/MO1o2v4Nr+K+i1+3g6+iKmZRHPRVkgi3AfJX7v934PgFtuuQWAyY7FNO7bRsPAPnTbwtZn8rQztVX0nL+WvrNW0rTtIF0b7sMkiLAdErUd5OJ19C9pY2h1NznHJq+ojAeiPNu5hoyil8zG4eQEF/RvR/dtcH5zmdzc/BSNfv5pOddSE/dHf6+L19O5N8njhu1VwcqbLDswyur2LmiIle6r1FLla2mu8+cW+9eDf32Vvychv+sPtpHBQrbt+WDlepaQFhS5ccqx+jn3/b5ifwpKLBajv/ciFi/9LQiXqvjrDA9eiKomEMLGsqKMj56GaRpQtMgBLJlOsLivn/uNLh6Z6iTnaliKgqMo2EJQUsF9SpvquizVp3EyXs52s57mnVUHZ/W9Up1lw1CL8+WiaRqFgjtrTPMhlJ/JrNhVM8jqxKKK3y1HbS7KR7edzzPtO3imdQeWavNC4y5eVvfRkq/lyswZnJw+vLbeTtQ5Ol95aiFPfUcD2yXpJJi+7GE6r70N1d2PS3wm7eV3DGvHLibW9ABJY4KMnuaRZT/l0t2fIlqonvW9FRPr2Vv7KhOBQXJqmsHQPmLpUyu226cPsjH4OgAN2WY0V8OUzHSHSQR2zJp0+3QtJ4128HpDD0k9y9aantJmcFKqixsGL6Am7kkaccfbwKaLfuxyRX/heCPLx1vZUTfA5vgBzppYygrbi0TKiwJ3xp4DoMaJckbh7UiB/92DQPCRxHXsNvYzqUzzm6p7sKoszkycPOe7Li4PLntq1nu/brkTAENK2cVNu9Vs5sLE2SxMdfBw9VM8F3kZR7i8UrOFLfFduKbj1Z624dTeNbD4+I5rtHsljfu2odgWLXs307d87kOgWjnqhl9CGBnSbQ1Mdi1j58XvA8oKvFtwR8fJjARjiKLQIx+LiUgtt3efxjvTT1Kde3NzcSVqchZn7vU0ljfa7P8rY3pyOb0H3s+CrlsQikVj8+Ps3/NhUsmFZd+au5ELIDkSoC6fQ4jZLiRXUXAEuKIsaNJ1UF2IKyZf69pREjDeyFwtEQwNUtfwNAC2HcBxNSij/KwE1VYImBpYsL2+j0R/AiclsIr0q+l0mlRiZtfzu9DO61lOx1Qdzy3YzYGqEUzHpEcZ5gfx+6gPVfGexHpOSnUTCs4mi5ICx3zpnFJolIKSX5iTQueBAwcOOT6A9nYvDqitrW1Ou4lNGqlvRql100yKFC4uQ/esQ2Ua2IhgGsPdgBCLvBvqzuXUlkVYDqVJS0gf+sKFC2eN1y+8+gsfJcuI513XJUiQMxLrebl6AyPBSbJ2msdO/jEhO1rWloIlCqS1BDoGLWYX64xzCRizLRvy+2PqBD+P34orQEHh6rYYjx7w4v8B/vbPPsLhEBwe1SH94x97xaulieL9A/UszrXyfP0OxoJJWlLVrJho47zUKtJuGk2Zrf5LliYp0UtTxLl7l7K7ehDHdbmt5Tn+pL8N3VW5Of4UU2oKxVV4T/pshD3X5yt9gP4SaxJ+jdgf5e3XUPx+XKkl+AMQyqOyc7lcxaR6f2R7eV1rmMu25vd9y7mSkP02TJ3fG/sI36r/CWklw+0ND7Aw00G9WVvSeKYT0zzW/Tw7m/cVUz00DMdA6MWxF9vqTi7gwsQ5dI+3e2VITZN3TV3Eye5Kbum8l55APxYWruKCC5f0ncP6yVP43ve+B8DnPvc5jgXywVQ7lpCrricwNUbX9pdJtHSRLla9Ugs5GndtYsFrz2LkMrhAMt7AjpMvIDE9kx+XV1TuX3IWY4FY0RDvsjY1gmM75FSNvVVN2IEgj59yKTcMbaXQs8+bKx/jl3y45SYi76s/tcN//+Qm4M9wkPd/cHBw1vfk7+W6kBp0pZQZf0TpG0V3S1OmnF+Z9iKvITfq8jzj8sNMfi4j4P0BMn5rQqU1Lr+XTJxE30GF9q7foCg23Yt/ycF9N5BMLJz1PX8tgCsC03x3oL50SMvv1RveM5o0FXKOfH5tNOFwYWgf6XR6TqyH/0Ar0VuGpula9BNU1RvD8OA7wVVxnDc2w4ri4xnM61x904X8+Gu3Ucg7tD4yE7FthQ9tZO9MNLBwRzMJI8OWpj42NO4mr1qMGQl+2vwoC7PNnJ1fyepMF40c/3KqR4vEJo2eb0RxbRvFGGXPJ3ax5I4unOEGDt73OfKjPyDQMEHY+g6a82ng6KmI3yycP3kGe8MeBeiW4CQnFxQKSq7MOlpcdwhaCl1cN/FlDDdQkvwnlWkeDz/LQb0PA50d+l5ySg4cuDB9Nhd3K/zsLgMFhXOWjqFrh+fjOi40VQLBKRMLWTPsLciS6TZ8ZIVeq3MRzjm4jOeW7WUskOQbnXfRUKhid8hLHVlotXB+/qTj0eX/UugyF/CZyQ/zb3U/pCAK/LT1Fr7Q+3EAbGFz79LH2dq4GwHU5OJ8dd9nCDgGmbYCI/oYhZDJmvwKqia8A8WfjF9XqOFTez7Ai5FN9MYGGA2Ms25kJeuGVvq7cnygKAysOYvup+9Bz2U45b5fMNW8AMV1qRodQHFnDqLRxWvYdcYlOJoOslqQonL7gnWMBrydc0l2kveO7ETFLR2qG4XF47E20qrBTc2ruHisn5DRQyKeIZJsmdunEziuSEyvpu8AtHf9BqFYdC68iQN7P0wqWdmsuyCY5Utte3hkuoWd6ShydxwrzBZsFeFycnSCd9YMQu7QgTnlqIpvKx3QQwNXMDF2xmH9TqyAsc4RQmPVdO5p40//6LOsGFtAKBXEVm2m145jtuRRy6pu+F1u5QF2UaK0TjZywfQanq/eyVNN28i6BXZqvew2+lCjCh8buYS1qe6Sy08qP+WERpV80XKupJB49913v+H43vc+z0q1aNGiWdcSQpDeqdLzzRiuDbq6n9E/fJK+9RbOySan/cWV2BMKuYkmhOoJlrrzLAqXYipVKKoyKwpcCrOLF3vmuQ984AMA3HzzzfP266677gLg9NO9zAkpeEr4BT5/PeryazaYDexQ9vOqsoWkMsGBoMJp5mI63UaPSU4GhTpNrLevIBj39ksHh18Fb+ch/UksYZUIhYpqIBdkzuK65FU83aPRUGUxnXbZPXT40TFHdUjLQckb5U+Y9+cv+h3pMthAmiakBJ/NZjlzcDG9LVP0REcZDkwxHJgiIAyarFp+b/JdWM7sXN1KxOxS4pV98de4lr/3+9dkcr4cm9+HXKmalut6B0BJw/XlHMvoc2lWku3I6/o1Nn8lKr/v3O/LXp5bzKXJ87gv+BiDgRH+tev7dIXbOBDtZUDzCAIa7Xo+fvB9tNZ4h9BirQZcSA57D+pUYmrWHPmJ/M/Ir+XCoVqc2ELChV5Sxft3LKk85fj4xz3B4tZbb2Vo0WqCiQlaN29AODa1Qz0ld5aLSy4SZ+/acxjpWo5VMKFgEggEyCsqD3SfxrgRwbUdlmQmuGZkJ2bBq1Ek194VTGMr0zwYbiStZvnVO1o5W7uFqBhGOApN2RU0j5xC09QKBEqJPKG8WDzMrF153/zZA/JZkfdPbiKyupbUTuXv/D5o+ez4swb8kO+Xa3pSW5cR7PI+SirGN6KRFEKU2pTxHnKssh0/Z4C/8IA/kMn/7OSypzDUr9Pa/iuE5rBo6c307P89CvmOWX0pX/vdQfhs9RDTpsZriSh9+QCJgkAVLsIusMDIsCYyiVpIQm7u5uwvJDHXMmZ6nPRCMDF2xpzYFsmSN3e+4LVLX6Zjw0qiI/WseGURtckYCgqZthT9lx+Y93eHguHonDOynJPHu3mqZRuv1RwgaxSwhcNdDRtYkzpKcoLjiPHHA7gWaOoQypdv5qn19biiGloWsOgv0uz9+wigkp9sBaETcUxUZz+2spSbgiPckDv2csPHAwLBZ1M38HfxbzAAIASvaOPsdQu0Os0scFo5yVrJSmspwaIVw8Liu6Gfs0HfWKJIbrNbEAgCjsEV2QtZnfLcs/uGAwR0h5qISTR4+KGLv3MlfxQUPrz7XJ5r3snr7b2k1TwdZhNfmXwvVW740A38N8Y1ics5YPeyLbKbKS3BS/XFergWtCYb+WTf9USso5/D6tw2Fk7fhla0Kg/EL2c0du5x6Pk8EIKe0y5kbOEq2jY+iZFO4ghBtqqG4e4VTDV1YPv8izlF5ba2NYwansCzJDPBtUUNWh5tjrDZ2/Iww/WbMNQsi/IXsqVwObYd5Tn7D1ivfpOYMsxkzW4ma3ZzwKqhdnoxHcpaqnMLCJu/22kl/68hlVjDQB+0LbgJISzi1a8wOtxxyN/FdYvzar3AU3nglkfsvh1FELWgyvPXPM+lP74KM2BhKiZKAIi5LP3tano/uxdEZUG/EluW4zhEiXLV0Om8a+g0Hq7fxBMtWxgX07ym7uX0wgpgbilPqFyyV/49VGzE5ZdfDsDSpR7XtHQrzmrXEghymE27+Ob5tbgEcOjkvbk6tHqT6NoCPASuq5LVPsvF+R/yWGgBw+zjgYBBBI3rCg2lsZZfZ8UKb2xXX301MFfjl3Wt5TgqcZT7US6YlgvCVVTxV87XuFm9iw3KRnKiQNJNs1Pdyw53Dw8bT4HrUuvUELFD9KtJ9mpZckKn1grzR6NXc1ray+LYH+zhB7W/ZI1YTsAJsH7Zu3hupyeEN9TksGzom4KuuYyks/v6xh/PD13XPakhNoCab0aNTKMXWudEPvujPP0atj8/t1zreOfoyVznvIO+wBhrw8vQUGctKL+v2O9rlp/7maKk9C8/lz5I+Vf6x+WNkwxS8vvy/fIayzIitlAolMxHci7kg9PT0wPMaCVSm/HXJ/ZX9vGPz/9g+7//+fGP82zhJW6veQBbsQjZQdaPnsL6kVOpjXoLX2prJeawYk6uvD9+jSkYDFKT387SzF2gzFSXaks86NXZ1o9vIJ+8F3V1deTqm9l1yftm9c+yLDDNWdpqTlG5fcFaxvQItmWzJDPBRbtfJFWUbmsam3ikegEHWvewNLaVcNGkuSrwBBGzgVcKF6JZrWwu/G8usb6L2rUdWylQUJMMNb7KsHgVgKhSy+rxa2krBuf5TZZy7vxEFPI+yvvsv9/yc7keKlWK8mcnSMhnSmroMKOlP/roo7O+K61Fcs3INVl+WOi6Psfv/swzz8xq5+KLZ3P1+w8fv6Y+XxU1gExqLa57C0IxURSr4sHif8b9h/N8qUf+GA9/xoN8PTPPFq7rAALLspD1HhKJwzOb14/U4goY6B4hT4aGXBxhCYI9YfQxA7Ph2AIGBYL1o8t4omULAD3hUU7PrjimNo8Vwk2gugMcVCMUhIIrOvhCtp1TrRjJPTD9fNG0rICprifijvA30/fwl/GzGBZ93G8YpUP6dwF1bi2fL3yCj7vX85z2EjvEHgaVYfYrPVjYuMCYMsmrWpJJVcNBI+yEiNvt3Fq9m7Z8E3V2kJ/W/IYpNcEz4RcBOKflNN633uDXL8TYlqvi2u9DUIe/ehesbq3cn6M6pF1cnM5HmOh4rdhIhLrBzyPM4+vL012N7lwz2hH6tv87QyA4N3kGKzJLeK2wlWXJhai5Y8thrslvZ3Hit6AquEJjpO4K6qYeR7FSNE/ex7QyzUDwzOM0giNHTlG5uWklI7on9C3NjHPNyK7SAW0JhVvrFrM9GiCpNjKQ/RxXq3eyamItDanlaHaEf1bDDBsRTDuIM3At56euYqj2NcaqtzMd6cERRTeLmmRj488ZN/axeuw9b9uY/yuhtv4RhFKkvXVCb1s/QqFRGpq8DdW2A7huMQT5MKEoCpGAw8CqIVq3NZMgS6NTg6oqZFen0BaoaCI0xzV3KI1avpaCRyZgYxgGQih0BdqoCdYU++/N3Xzui0oFe6QQc9VVVwFzq17JqOmWlpZ52xbuOIb9CsJdiI3Appl6p4aVE4Kx/ix7/yaGm8/jOA5atUk2myXrXkqdtp1zc/38NhzCFNUVxyzpb1etWjWr37KfUqiVypd/fJUCect99P4gwlLabibHqaxhTWGZN+9Olp2BvRzQe3m8qodcMEXM1Ag4BqcnF7IvMMkEKf6l5jFWpEyGivWqZcDZM9EXiQbbKcRdjKJ/PmfC/7oXbvnMnFtWwtHVk257Eqd5A7qkENPyjC/4Olq+GdWOExi8BD3fMSe3WP71+/H8FYb8fl05eeX+OP/NkPAvaD/rkr8UmuyLZFXaudMrRiBp6WQOqfyd1LTLQ/lt26ZQKLBv3745Ec7f+ta3Zo1N/r4SIUElJjS/FlLJLyjH3Uoz8XwMouCEvd9IDVq2LbUD6cf0a3vBYJBofj/Lpu5EqAKhGvS3fAK75iSs6jU07v8mmpOmM/MYBUcH3sfxwI033gjMVMfy18Eup/zLCZVbWlcxokewLYulmQnWb32GcdctWTHub1tNX7QO2xgHF1JuHc8k/pZtjoAwFITCmKugAk1WllMUk/RkntjkcpY0X4AtLNLhISbDB9jf8AQFJcOB6mex9Rwr8tchEHM0XL8mLOGPMvZblfz1qf2/87cnrQtSgy7XpCvVPpbR3rI84B/90R+VPvv2t7/N8PAwyWSytFZlNPh73/teYOZZkX2Xfa1EnOF/XW4VqG94nuq6B7BtsMwYQ/1rKRRm0mNg7tqvlKFRHi9QFT9IXcOTTE+tYmri9Irc+bGqCdo7HsMIpAkEptA0T9Md6Dsfy3JL+8OnP31ooiDw3HWJDwyTvbXA4i2dpLQcxjKXsY8OHk4hrcPCpsi+0r87C428bUHerkXY/Ca4XoqkIuqwRYFhUeDJcJKVT7fi5oum+0YTNVbcv4Ugo30axI8AUJ39CGcRrvK7F/FdjoBrcFJuBasyS3mi6l668p5w9JX+c+jK1/CNpmfYG5pgTE/yUN1Oah3ozLXjqA59xhC/uXcFo8+2kTNhYVeS910Gt73qHdRvhKM6pJ3mlwFQzVqCiVPINz0BgGkMYjJIZsFeqvs+A9nf7Uk/gUOjMfMiAgdHaAy2fIJMeBkBoBBs5WDLZ+gc/AGQo63w8lvet5xQ+WXjcoZKGvQE147uZrRMcEtoQfZEGwg5FlFlO83KTnoK55EnxGD5OWhbNJlZPjC8jYBrz2KkUl2NmlwnNblOOnKn8mLzT0gE++mNbERpCLN89Mq3ZsD/BVHX6FU5sswY+3Z/kkLh2OkwI9E9LOj6JUJYRKK7UZQCI0NzLT2h8DBLlt+EpmXLqNEF/b0XMzpcuYZAJUihYbnZzt9+7TdceOeZrMl20n12NaqmliK7KxX58efZ+l9rmsYefYDnG3ZiCINFThtrqpeW6iHPR3HsV2L87jEp2MiASun7lYGSUkCbL886YN+K6uwBTsVya2kqNKDleskoDj/Q+rjA1KlXaoiIAgU9BVno6+sDPAF7ouZ03OAQLhaB/LfJGP8TRZ2dcigVBsksJgV06bLxVw7zj7sSDfN835WKz+TEGKozTmjyN6hOsiQDlbd0tSq4o9F75z9r91JrQr8OQQtGg0mqCwlcN8C7ey7l7tZH6H3wSgr7FmA73vX0XJ6PnwXP7IWhad4QR2fuFgVwXQKJdUTGLqdGX0Eq/CJCtUgHtuC6JsnOHxGzfh+tMMNt6s9h9rM0+X1PcuLn0yIOVT2q1NcKGrdsu7bW2xSkNvn7v//7RzwfP/zhD4H584S/9KUvAfDNb35z1vX85pn5rAXl8Gvc8ndyHH5msvLP/P546YOWmpC/rfLKSsGUQLVVCoEFKI2nEi3ra0prIhlcgp4YQTjHnxBEVseaD44LfzIOdgHs4SGWZSY4b+cLTLluaVx1dXUoehBFEej5PpaEf8rC/JNYvXsZiH4ZS4+U5iaSSXJ+aojqmHfgS21R+nVL3NlqnDP6Ps2Gru+S0kfYX/8kmqLRNXgBCtocn3Opvz4Tp58H21/32G+W82/AUjP0s4CV4/HHH5937qS2/vnPf37ez5uamvjIRz7Cj37kaTpyA5cmR6ldbt++fdbY5Popj9co/ztfPWghTFzHYXJ8MclEjPlqrlYKqJJrvfzZiET30N75S8AsZQM0tdxHvPoVXFeded5ch0BgHFXNAYJ0qg2zUMXk5EqmJlaVYlBkVsaRIODqhBWDxz64gWRigu7RC4+4DT8sbJ6IvM5vY8/gCG8M12XPf/uCGN0MAftBABxRg0UrUdfhC8M1/HvTJAVgMuASMQQT1YLkNMTK3PHDmsUz4QZsLGLuAJq7B91+HFt959szHgnXpjb5M4LmVhzLszTKdVQ+0x8eAohxd0OUtApp1SsrGzctTLZguC5h6yRMxWR/2mLq9ZOpclWsYiMDqSg/f+HQBzQcp+juSG4dkdw6NE1jsPp7TGkv4og8+arX0MaOf73eE/jdgaMUA3TcDOy/G7qvfkuuu60AO4sP/bLMBO8d28NEBTYpxXWwlCQqJgL44JaXsBt+y1j7BaUNf4aB6ND++4Ad5ZyRz/NE8/8lwxS7ax9lILSZVYPvJZY8NorU/25w7ABoKaprtzI2upZM+ujnzzugf4GimLiuYHT4AmrrX0BVswSLXAsyTUbmsgL09VzG6PCxx1SUB7aqruJt6mKuYC2FCr8Q46cC1jSNDHkeCW3kCeM1xtVpBAoBND6Vu4IztJWgzVVA5mNV8ysvfvpbqTxIAUsSVfk5r0tkPtZL4BawLIustZxCwcLJFqgdz3FjyuC+aI7qHBQLbDMZEmR1+H67J8wPh1OkcVHMet6VfhHbttHsm7H1s0FE52j8UgCUnOGyv3LOS6VJKyhp/nGXC73lilJo7Icoea+GuYsgqy1mhna2aPko/u66CZdqF16OeQyfdQV476jF7XU6z1Rnyeib+V53gsFHrwLXJZaPUhNNs3c8SM50ueUVr53wbHl+Do7OJ23b4Noljt9SLebaF8iEX0VzNFQnRk3hXLRwuHSD5YT6NWZ/2TG//2g+EnJ/7qU/b9gP/82SfSovzP1molLes1+T9gc6+Mfl97H7zT3z1ZP2L1y/D9FPpiA3C1VVCU4F0W0DNxgsjaG8Itdw6DQarCcxRB62/QdoQVhw6RHPz5EiX3Y7/7/TV7LcWFmyVkioqoqiqriKilk0CQoE1Zkg++s8rdCvqcq/0twnxyrXrpzvqFnHeUNf4oX6H5IwhkgFh9nQ/V1aEmtZNnoFqvC0VX8dcH9Etb+UoD8PvhKNpbxH0uwnn51yP7TMINizZ8+stvy53pUgYwNklTLZZ6lRS2IL2b6EXFfyOn6rUXmmwtjoxbR33IphFFi28lfs3/NxcllvIxZCUBXfSm39iwhlbl6pXNVyhkKhAYSwcF1B38EPkUysIpVcR13DU6iqp/3P7Ck2rqswNrqKqYmVOM7s50yO9Wgsa+AV+wDIKYemE50PFjaPBTZxR/AZUkoxVgdodGr4Qu5aljrthyNPvmnQ3M0AOESxmR2Z3ZpXuX5UJT+iMDFlsz9epCDVYE+0eO+LwVRXTEQ5K3USVG1FIUnAvIW88cm3cCQzENYkgeRTmEBBW0Bv+LM4SqRiyhzAahPWTJZxZQTh+pE7KSg382JVluTGLiZeOoOIHWZVtYsiEkwlLVJu8Rkx4G8Oodcc1zzpyeATpX83JN+PsH53wupP4M1BXm9im3sm60SRF/zgA2/JIR0u26BuSsJfzuPKtBE8WdMBCArBKDpZDFNhvP0SCqFjX5tVZjPv6P0au2seYUfVwzjCYrDqNYZjW+hOnsOyicsQHEJM/m+O6cl1CFGgbcFdKGqe7sU/48DeT5DNtFNd8yptHb+t+Fu5V86WYwS9Bz9IKuEJEoV8I4N9MwGN/nKafjKTY8GXv/xlAJ544glaMzVMhzPsDw0hFIEoY6ySQks5cZGDQ1rPc1AdZofewwZtO6OKJyAqCFqcOi4tnMYl5qnoQnvDILTyQ+RQvlkpmEuhVPZNuiD97pfSXyeD67qYdhzLdlGKqZlSMDNNE8fQCbmChZMuEUtgC1iY956HcCDAWZkI59kxCDViik3o7g506xFM7UJQyrncD53W50clv/9881BSgEQeIQSarpGvew/Vhics+hWlStp5SQgNXM/nJsNcvPdJvnL/h2hyLVpENVedMsgjWxpZvaiRcAROXQzXnQyLDrEVHdUh3dHZgYtFeoeNaZolLaM6fRFDVT9FVVUmam5lAR0E7a45+dJ+H6k/UEL+9eeGlkO+dzhaN8wNzvDfxMMh3j8WVNKM/GakSgtBwm+m8i/ack26Ug1rGUnsj7adz9cXHlRRcwq6ps0qsQee1hayhrl22ThY3V7jb5G5e7kOawPwWh7u3HWQV1JjnFsw0VwHXdexheCOxqXsCnubT507QTw0SlZvZqj5fII+i4TU/uRcyA1Uwr+5y7+GFmRV4irapk5lW/09DMRew8Vhf/XT9MdeYfHgZbRNnVq6nzKi+qGHHgJmyBj8EewS/vvtv0cS/ipqAN3d3bO+I4N2jnStSx+/rFYm8R//8R/ATIyDnwXQH7Eu/8q5ln1OJ89heFCnufV2FM1k4ZKfkcu2EAofRAjvEE6nunBdf8S7/CufYYOJ8fVkUotR1dmbsn+j9edLlyrFFcd6uNHclbAo3cz2+n7Sao4+Y4wFvjzglJLl9tjz7NH7Set5ppTUzHNa9rw2OTV8sHARZ1orfqdIdBQ895BTIbTcGgpQ2FYFWAQVm4aigecP+jyLpRQCPGuAIC0+SrX7l4BLsPADcupfg3gLw9Zdh8DELTMvleAbfPnQSESu4rEnT6Y5GwRc/vLif0DUXsLjircOmmLwJ4fpfj+umnQ8dx6OMBmL/xpbpOmJ/ysd03/E7yKZ+gkcGtrUZrTEDs+tpM7/wDRmXwa9SEW55kvQdsFb0jchPO35bybgINAbrefR5eu5eMfzKELw2KLTGC4e0K35JBcGHmY4ECFrGLjK8c+7D1t1nDb0caYme9hWfw/j4T0U1DSbW29lOLaVlfvej+rOfxCfAExPngGuS3PbHShKnnDkAACOY7B/z8fIZubSX1bKrX27USgUaJ6qhmKX769/md8fuaoUhb07PsgPq+4joxZ92K4LbpmC4UK71cD6XCdnKwdQ1dsZ5vY5ioaqqqhOA1H7WlQ3PsePC5U1SL9WL328fiFwPn+3cNNoHAAhUIylBAyDnKZjGMIr6zmok/xhC25axXFM3JN74AHv936qWCm4acFuTOsqVOdeFHc/gfw3yAe+ht+mf6h7XonsZ16lzHXQJu9DJDejFAYQ+X4cwDbaKQRXE1ADc39TYU7Kx+Y4DuMJhef6z0Row5zT8jCrGraRLuzDLHy92H8OG8d0SOfzBdxMpiQxFwoFIoVz0TWNwcgvQM/RX/d1Fgf/mqDTOkfL9WvSEoeiyYMZH69fQq4UJe3XGqUkLX1Pb3bpQLnoZbSwfCikeWi+Kkbl70v488ArfV7+b/93/PPu1/Jt20ZL7CKy49+8uANXkGi4ZA5L09TUFC35BFQBgRroeGsjM3/1s5/SJRRamlbQX1XPFkdnb+NK2ltbmQzFCKsKbfkUN0zuZapKZVQILLdA3sqhFmbX7ZZrWI7Rn898qDx1uR4bncU0jH6Z/foGtjXcTdIdYzC0heGaAbo2vpv77n5g1hhk+/5MBv8m6o8Wr5QVUL5+ZBvSb+3nCT9cVMo4+OxnP3tE7fzkJz8BZnzl/prOqeTZDPVXUVW9AUUxse0w46MXYJlt6HplM+N8h7OfsU8+3zIyXQYKyuj4SpHuR4vmXDWnJ5fyUmwX24I9HDRGWOy0kRMF/qPqXrIij0BhidVGs1VD3IkQNyPUO3G6802okTsxw7fjKslSOqAcpiNZ6op/TXczNdm/ROHY09cOCdchZP0EKFYJZBXCKKYwjagkHosx/VAcN12MGTp/L+7agdIh/UbIq9ehcxDV2YJmv4Jj3kVBv+ZNG4c+9B206admzg7A1ttINP4PEMcmUD++OYTtCNCauGCdNz8jiSCDwwmCdTnCgcPX1N8U7u7a/CUADMduwhZpxvVHaMt/7M241Am8SQgNPYhwCiAUpro/QyG+Bt6IGlF5e3yvuutw2d4XeXDRGYwB2ep6JkNeIGJbPsUNY7sIujaaPfNQWGoOiLxpfRIIWpPraEgv59na7zEZ20+6tp+pth1v2jX/qyCVXE2y6E+ewfwurN9VSPP/FSOn8mJ0J0IRbIkeYGWumyfCm8kKTxC8ZmI9l6ZPIZfN4eJiBp+C8C6yoWHQBsEqam55j+3LL3QbAXDUUdD7mQj8DXWFv0J1qw+rj5XohSultnqap0vI+h6684IXJCUWkSosJnJOgtGn47hZQfbmKrBdXAHBywaZ7toP1kw7ftendC9IQVIJfoVI/i9R3AH0wi3kWYujzHC5H8oycKjobvlaG/wuauJJXCDvhHGUGCmnhjFxHUzkgdE5RFF+l2IlwqlERvDkFm+/WdxiEm85i75Ein95ZgnCNSG9g6tO7QRq/LdlXhzTIZ1MJnBGR0v+BTnx+XyeSP48lMC9mOo4eTsxq9ayn69Ywh+NXEkTLIc/9F5+t1IkuZ/vV2oXMsL8Bz/4wazP/X2rr/dqgMrUhHw+z/j4OIVCgR/+8IdzKn/J38k5kpq7XKz+akd+H5rfJ+nnhJbwP1Tlv/XPgdQe/Dm25VGMRmoSYVrkwwuZMJZDOj2ngthHPvIR2DQC/fPn475Z+NnPfgaUkelbFu/cvYGRJKQa2mgOKtRmE9wQsglqCqBQpdV50d4KKDV5guZsSbZUT9hH2iDht3D474tcy9Ln3NvbC8DzD6QJfqEfETUZMu8GVlMe9SPXkd8y4t8YKvFev1FQi78N+bcSE5nE+Pg4d999d2nNSiIJ6YM+Ug1a4pOfnB21+53vfAeYa1Xy5/5XMmP7zY/lGr+/Ip/UnGWltbcCcTtCR66RgcgED8Y2kjFMng9tA6DJruHS9ClemUZc3NrbENHHi+Pxfu+atdg9vw+Wt5mX1kbRqhKqilGo+jmu/gKWOsBk8G+pyf3lYR/UR4qg/SsM5zkAbNFBSv0aIAgtMolfM8rwP3SC4uKaguA1PQTPH4WeI7yICJE1fp9I/n8CNiHzO6SNvwFx/JQAURhETzwBgBPoYCzyBVwlVsrkONag+V8/FSOdE4DLpevSIASP9b+XnlSWkJjkhnUPcXZjE3B4a/GoDmmFADYWSvMOnIH56zsngs9jqh4RgHBPRLj+vwa3qBkbuR6CyW3kYvPUjp7eByNFpjHt2AItjhWaY9P5orfJlQo/FCv3AATNGal1W/OdnNv7JZS3ogicpWC90oR+fh9Kcxr19GHsl+bnDshoE0yE9gMuhhKkttBNnN+NMn4ncPiQRDiNjY2cMbqY28MbAHgmuBlcUBzBtWPrSfEQhPZhRQ8iAsO4toNrh3DMCG6hjnzf1bhmANdNz2p/VmDt5NVEuxUKoacx1X4mAn9LXe6vUZhdr/hINU+/+1C3Hsaw7/WuK1qZdP4I1w4yPT2COaQzfncDoimNM24gGkzyW6O4r+vkQ/lZ7fhTGf3Cr/f5Agr5S4gq9+E4ezDT/86UfQMgSm4fKdDJ15XGN994FSddStvL1V5PNqkDuZIrxF9Jq5Kw61fEhBBs7wvw3HYdcDipM8PKtgSpVJ5UNsJ0LoYemOSaVS+AfTGHi6Papdq5hoPcxILFcYzFLzG029uoU6GiVqir5ELbwALFNdDHTiNhJub4PqVk6M9V9muV80WjVmpD3nypJfpLmPl9Vf7oXn+Na2m6kgEOMkdUllIrFApEIh5zVUdHRymCVmpk8nuyn/7ay/6ABr8m5+dDPlSFoPnSL/wa9MiIV1+6kkalKApW4FQ6pzYj7By1+75LX8snyKldgFcZLGIPw4afglkkAem+Zt623gxIbUgyvfktLXK85XEGddkOatOLmIzuJxkeYEPHD+icXk8k1Ui00FQxK8Cfj+7X7uQ1pKYm64Xff//9pTasl5rQ1o0gqgroFx8EU8HeWgemSnV9Ff21L/FY+20k9MHSb0RxTPVWN0355VTn24nY9RhulLBdU0oO9mvQ82mdfp9yJf/rj370IwYHB6mpqeGkk04qrXm5huV6eeSRR2aN9WgjoQ/lB/7e974HzC3B6I/f8PudYWatz8cC+FbilOlFaJMGL0Z20R8cJ+Qa3Dh6GYtCz2KGPaFS2MUDMV9HYf+nsQvePnh4UfiCYOoT3u+jz2Mp/WT1p4iY7zp+g3DThOxfedcgTkr7I1yzyAMwpDP+7204aQcRsTBWTmL3RnBMgfV4G1y57agumXSvwnB3orGbqPosmphmwvoEHGtKo+uiTdw18/oYfc9+PPiqJxwFdJfrz5ksxREowiWgpFFwsF3liK57VIf0Aj6ARZZ+fkuBCexqrxhFvriBmcXoWdUN0DT6RQyz/WgucwJvI9KhJQw030Dr0E0I16J98KeYdTeQCi0hYg+zJnMzmMVAlZWfhQWXvL0dPgQEgtP6PsnLXT9iMniQ8dBexkN7cR2XFcNX0zl+zpt38ZxO/rYlBD62DaG6GO/ah3vZAdykwTMr/gVTS2Po828+E/oBJvQDuEUXuotL3Gxh9dS7ac3Nb8U6gbcX0h3w0EMPgQvr+5aznuWIKgVXcRFVt2CGn8VxpOYcwMk3k++7CtesqkjM5HcHloIGLRtt6iMUohsAG0dMHzK62f9+JdeBZVkE3adxnTwukNZuxHbrEMImP6Qw+Z0FuGkVRRQIXTaMevYA2Vs7yL9ajZvV5qTXSmVKBkxKpchf9CeRSJIU19MS+haGOo7Kq9SynVR6HRO5C0kk2mb9vrzMcfk4/ZaB4OiPUVMv4gKO0YYTWo6R8wRsKQT6S59K4a9SznUpEl4E2NHbiOvanLIkQVBNkc16hEjZ6Umaq2qBEAFdQO2brEkLBN18ggB1jPA4PWPeoHRZZUnTUOwo8cl34ebbyDizqyz5ebb9tZql5Oyf6HJ+YlmdSmqmcoL9HNaVzDeyL1J7l3Rz8vuzahczo1FLjUleJ5fLYds2lmWRTCZL/fFzOEu/m7y+9H/4H0jZb7mI5Wu5cPy+bOnTlNcp9/P7H0h/Tqj8Wynxf1gsIlv9PjrHf41w87QO/JgpYzEXNNmzD+i3KDfaj0oF3uX78p6Bpw0KNM7ov5EXW3/EeGA/4DFPbW24g0R+kubxdYTcKlRXn8M/7Y91kPDXUJcFCa644gpgRqN2B2KY9yxEf+dBRMiisaUeWsAN5tHQiFgNdKbOpCmzHN0J4wTzDAY3MxjawpTeX6KzxHWZ1gZ4pu57tGRXsX70Myho82rQ8j2/VcmPf/u3fwO8Nee6LrZtk0gkSmtWPiNyzckNUa7hNwuVtGDpy5b7hRzXF7/4xTe1P0cMF1ru6KBm2EsFtJeYTH3pe9ixZ72PCw3YPZ+jkC1mEFSIoj8cCATC1XCFTVZ7moh5FSrxYx6C4k4Qcu8AwBF1mGJGMJx4OISdKmZJnD5B8B2j5EcM7APe/o16bNwTllvNvqkv0Rq9larAFlSRozqwgXhgI1PmVUybFx5Re6IwgDbtWYEco41c218e14DXfSNeRLciYNWCTOn9XEFl60HvWQwbebQlfwHhRYfd7lE75QSCNt5NG+/m9Re9QJ54kTzBf8CcwP+7SIRWcrD2A3RO3IxCgdrCDjCLPtW38YA+WhhOhHP6vkTGniYZHOKllp9gqVkOtD7OgdbHMZwQy3uuobNw2nG/tr2lAXtbHcqiaWqvascysrRoLTSlV7KocA4KMwUgjIJBfWEha1PXYokCU0ofWXWaSa2XXbHHKIgMg6Gt7Ig/yMrp42jaPIHjhqpf1RHeHEMJFX2biTFiv2hg8vdcXKue/P5PgxXBNGenNvqVGCmAS5eXFJZkClvJPVh4B1njIRxlkong31GX+ysUxftOJUHcr8RIwT2dTiPIU6v8K7Yyjg2M5S/C1DwlJRQKETkph/5oHNcFe3sjRCKYrxsoaQ1VtQmtT5Dz0d363YBybFKQlG5G2Y9CQWVf/npixmrqwhuJBXYAFjHlNhSxkZHRL+Cil4RoKVD6rQ0Awk6UQjbNxo8hjBpE2Tz6qZel8Cf/+tMd/Zp2/2gVlmWjKC41wUmSyRyOCz9+rI5kKkU4BFeemobYeRwJjkvkjPQR3nbbbcBMBLRfm/Vr0v6wf6kt+mstS5RridIsIm+qny9YXlPebL+fUvZBaqLyxsiqN3LRfOYz81fjltJ8Pp9ncnKS9vZ2rrvuutLnfr5jqX3IBSE1ctkf2X9/nq7fn+zvv1yU/rkth99n6/f5+/2afsvFaLqRCfVdXLZkCswUqAHouhraL5p3bt4qyHsv51QGjMk5LNek5doq+TNzKpFMG8snPsCWZTchjGI2gGGxY/FtxMfitKXXzbH2VCJP8N+PhQs9WsPLLrsMgAcf9CoG4Sg4u2tYPXotAMuiy2a1N18Ut0Clym6ninYa3ZV0TZ/LU83fIKEPsD3+AE2ZVdSZXXPmR7Yl56FSDIJcD5OTk1iWxeTkJI888ghLliwBZtaufC7lWixf728ljndO85sB5wA0bPaEWTtiIYJ9KPks4SdPwbXDTFzRAVbojRs5QkRyH8EVGQqBZ7GUHjLa40TMq468IdclpLxItXo7wvX2w4R1Hin7LAJlJ0Z0jUnzjQmGflSFm1dIPRsrPQ/Bd4wSOHcMBo7HyASJ/EoS+ZWEtAN0VP+WgD5BxDhAlbuR6cKRlxV9M4jPx1NF9kfFIRaysG3YMxTlwHgddXqKMzt28tFz0odoZS7egvDWE/ivgEltIZz9wbe7G8cdsXQrp73+BTJ1/eT1BD0dT2ILk5cbf4YzatORPv4a9bEi4EQ4ffRjPNbyL7jC5tW6X3Hx0J/+TtFG/neHOwWtrZ7fdPMn/xn3pIdo+ccvoPcuIPjAVcRG0ySu3g9ibrqov2iOFI6khdKfqlZiGnMgnP40BeMlEAVsMTVHEPcL8X733uR4H02hn2OwGatofU/ml9GbvBiYLvVN9rnqrChCdRi7M4aTFtjCIXZ+EuvUMYTQ5gRa+mtkSwHSn5oqFQR/2m4y18624c+xpvmfURQT1d1DNru2JDhKV6l/fIqieG3M84hIbV4K2PK1P+XUXyzHn7raPxlFUQTN1Rls2yKRSHBwOOS5UhOjfOHse1GUC+Z24BA4cUifwH976FaYxqnVADQq3bzc/lNcYbOx8eekpoZoT52KsAME7OghWnrrUG22syxxKTviDzBl9DGt91N9IkDzdw4OWbSGV8lXpRn5H7dS/+f/iJ7Wib1cTZO1gOFre4/r9QRKMff6aODSGPpPwtp2LAssJ8pQ6jKmcqeivAGVbuz0PFVneIe2PCyL9BNvClzXIF1oIxY8QFAbevMudATIW4KBSU+Y6qib8UdPpEJgTWGoOapDaRBHfuQe10Namr9+/etfAzPBUv4iEhIVoxV9ARRvZMKVn0mpx+97kWZg+bmU3PzsMX6J7lDF3stNbnfeeeecz2Uxgp///OfAzOL1l4ksJ4Ap77ffjOr/vJwitfzz8rnzU0v6X/v7UCm4bnR0tNI0vK34wz/8QwC++93vAjPjkv2Wcw4zY5CmcX/ZRimB19v1BIY/x4utP8ZScmyvepDtVQ/iOi7d4+ezNnktAmVOeox/zUppvFRIoIhzzz3Xu07RJTSf7+xw0ZVcz464x7fYF95EfKptlotIrgkZ4FUpsEo+A3/6p3/KAw947X31q1894v6cwFy4mBQKJvl8nszY2Ux9eA9dP11KYDRI1YtxbMti6JpeUGY0Zn8EtL/MbWmPyNqgQyFXAGNmzbm4HiHKG6SuSsh1m0wmiapPYbibME2YzCxk/9j7EGoUMNG02W4Y+YzJv9Il4ndh+l2W8n0/yYzcd+U+7S8c5N/3Cpb3XGkiOatcsoTfhacoyhxLU6X0Vf98+4vqyL9y37Qsi30Hw7h4ZEmLmryzpGcwzbYeQVVwN0ub+hGKBjXnc6R4GyuSnsAJ/G6iPreE84e+jFGmObvCZV/9kzy54P+wvfZedtU8zL74UwzFtuBgvUFrbx4idh3VBU97Hgptflv6cAIVUHY2RTeuBRdcV8WOWPTeuAe9MEpNzxDdd9ks+nmQI1V91Q0Gkf+vjtC34kS+WQP5Y3d1xPWHATCdGPvHrsN2316CojeCXazHrCqZQ3yzDGLmpqipDfMKMUeL3YOeQKUpLgsbU7guPLR9JaqTANflkiWvQfefQmTpIVqaizfF3P3BD3q+y1tvvRWYW5u0UmlKvxb5RqUqpbQpJTKpNfiDY+T7MmVLSk/+QC1/kI2sDXuskBKiPzVLSqD+dCh/OT+/ZCrfl1K2P7CsHP75PlTRBr+vRfbxS1/60pEM+S3H7//+7wMz5Bdy3OXEMfI+yDHL6NJKzEWRdBMXHfgz+pTNOMJmf+MTJI0hpo0Bpo2ZaBgXl/rMYk46cAO6E5xj0ZAS/dlnnw3MBCpKzUPCH9Er4ddI/M9CS2YNU0YfU0Y/+2LPsDw/E8wnNWiprfjx7W9/G/gdTF36LwBlOYgmYBian76cmsYqNi3IY2aztG7UMexRtCIhSMM2De2hCNMfi4IQc9L//MGLPKcQ+3Ec27FhSOA6oPxLkNRXpj2ujwZAuLiuO6cylt9iU26pc/Q8rusynV2IQxgh5u4dhypgJJ+jSnu7XwP3k0ZVsq76td6wPgCuS8GpR1GUOamSfrIrRVEgvAjXaEUUBlAnH0a1Bbm6j5b2Btkn//nk94vLMZZb7kKhAEIoqKqDa+fZ1FONG11LxNnIxYtf4aIzaiF+JkeDE5r0CZxABehOiObkGloT6zj7wBdpnz4NxZ3rmxsL7+GF7m/TU72B8ehupsO9pAMjWEqOgpGib/ET9F1+C+PrXqAQfIMiJUeB7tQ5GI632W+q/Q0jxq7j2v4JHB2EDsY/gGjwDpXAbWfT9NAK9KSg+VGBW7bzqkmN+IsORs9huDxciP6mBuFTAoO7QwQ2ho+pz47r/V47Eu30bYCmJIgE+gFIFw4/3xihkV/wl7i6F3VvJB4iOP6L46JRV4WL2UOWwraBOHds7ABrmpiR4sbTH0bo1Ufd9psaOCYlFBk1568qUklikZiP3lFCapTSxyglr0p+Az8tqD/dS37vUMUHjhRSS7n99tvn7aeU3vy+Gn+RATlncrxSmvPnFZb7qv0kMX5JUEK+L+dE/pXWh/9XIMkvZHpc+Xryz0WlNL9ywpxyBNUIp47dgDLxUa9ikVPAUnK83vQbhiJbSQVG2dr6W9ySz06u3aJmbVqkFu1k/+peWvvXYwTOnOUj8/sKK2k8/jS5MDWcO/L7PNXyDWxh8WTttzh75PdozC8r0b9KS4MfR+MHP4HDh9II4h+HcP5sGmU0Tu3jC0lPjGA2mARGXQi6iLyCnjAQER1tQRg1pMzZo/x7mtuiE56M4jgza8ZVXTJNKay8iVH0STtvUFd6voIsOWcBAfqIGvsRmLPyjysVnJF9kpa8StHj8n35Pb8mLeEvKOP/WygUaKx5BlwbF8i4pxAIBErWh0NxeKPXk+/4K5S9f4FijaBPP4DhTjIeeC9ZX1ElPze3f68oTzHurHNxHE/I+fmTbegiSZXax+fecT+xUB6qj57R8IQmfQIncIQQCFRXI2BHOXXg43RNnYNwD+9RcoVLf/tzPN34LQ5EXmDCOEBCHyKljZJVp8krSSYCB9gfeY5NNbfwdP13eK36t0zpvTOsYz7UFro4bfIjCFdgiQLPNn6PoeDRcSafwPGFaLJJ/ePPcRo810Pby530vdsgXweFzjyu4eCqKrlIB6E7aw7LNz36oX5y3TParqu6DH3kIFbb/ALm4SJtehkOimISCx44prbeLKhKlsaoVysimesgZ3UdeSN6PYmmP8PRvOI18fxT1OVvPyaNurOhwIK6IvOmyFKlDfHFs+/i/EXbofOPIbLsEC1UxpuqSX/qU58CZqKfpf/vUNVEKvmky8lMpIbp16T9mrBs05/75oeU8I62DN+hIK0Kfj+T39fspzWVr6WkKL/nZ7uZj4zfH4lZycfi9/dI6bYSkcvvOuazKsj3pH9W+qT9cRB+yV2ikk/Otm2W9V/Fwt5LyenTJJ0xbMVkKjdGIZAgkZsgOtKFPlZHrmqM3MUbyQTGGA3sYjS0a0bTkFkJpetJDQaG2MLO6CPU5btZPnkFjbllJS1c3sOuzJkorsIT4e/hkufJ2HdoylyNnqucNvYHf/AHhzmjJ3AscJqmyPzB3TT+5d+hUsVwrpddHzVZfrdGobGAa7VD2sB4wltPk+8dATH3GS9FE9sW+z+0i5bbOgj2hxl/7yCZZSmCSu3MRcXslGD/s+5/3zAMLFaXfhNUDzBuds3ZM/y/97Ok+UmV/LEZcgx+Ol1/gSR/BopsJ+Q8iqZZgMpY5kKidbNjeErDr1DlqzTuQCPp1v+P6ODfIwq9VJtPYdnj5EULCTNOguXIGfRXw/Lv0aW4k4X7+O1YEw3xCT6//iEuXfa6d0DXnDtvHw4XJ/KkT+AEjgMUVyNcqEPNe5uGNu1J6cFiKp+JSTBRz5o9n2N7++0kGvfh8sbmZtXVCdlx0to44DIe2M+zzf9OXW4RayavoTbfNev7HdnTWT06zubOm7GUPP0nPcyCV6487mM9gSNBkX4zVMBmGn2owKKfq6RWKGQXa0xcqRIqTFLzDQN1RCP0dJTUydOYC/Nv2KprOAx86AC4oBvHp5KTS5ic1UBQG6UquJ9+Ljgu7R4fuFQZL1OrPwNAttBMIr+YiiKobaH0bkPf8zLK8AHExCAoKk7LIpxlZ8KiM3C1OlItf4G67/9Dc8aIO68Br1GPzRhn0MdVzMt+UgGLmxL8+Oq/o6UuRFC3oPNPjvmAhrfokD548CAwV9qR0pOE34/sz9stl+L8vsNK/mw/H6s/ulpq0G92sQBJnfrLX/5yVr/8kqPfmuDX7PwSql/jno8v3a9t+yV0aX2QEZZvF93j8YLM8f36179eek/Oi8x/lxkHUqP2Q86VXDf+9STn0P++P0/f78+qDtazfuwzRPIhktoI08oQDhYWJrYoYAuTkFVNldVC1GxAVw0y6gR7o0+xt+opTPKMBfbyZMvXWTn1LtZkPNpHWcPY2ldL2F3IRPM22k+uRz/5NQbYQSvLj2ouT+DYEGAJGnVYiwZxMztReuLEcgJ9WEPszmOaguS1CtYN/TT8q1fkx+y3SDWm5qwxP5e3X7OTcRa2EIDwcoPd2Rzdsg1/PJC01GWmVxI2niYS6MVQ+shkWmddQ8K/D/mzZvzR3KX1X8xuqGSx8vNIGIaBTi8RfkVQ2U3BtMFVmShcTSQSLVlSy6O7laH9aFufRNv4wMx1ZPt7NqLu2UjkwgTW6VdBoJWp5j+nevK7aI4XdGkBjWxEdfJkaSOdjzPNEvJ5geuWz7v3V55F+/fvZ3lLP0G9E2ovPC4HNJzQpE/gBN4WKGjErVYilqdx+wNuys10YbuW1VPvYUniInZUPczeqidxcdhafQ/1djct+VWzftu+6wIsIwMLLBKMcAd/w6f5MQa/u3mv/1WhYNDK3zOU+Ct0dQDHUBGmQXAyTKE+S/3jLvkzHezgzP0P7g2TWnd0SoOt7wWkAnPkIUcT2bOpD3vaanf9Q+wY+gjucTgmhO2g5grU3fUUWjKNksriaipOQMcJGDi6hqupKJqK2VyFsi6MEe0nou4iIHbiOEWXpx1jIPluMnYFH28uTeC2f0JkilkUioLdvBi3vg0KOfSeLYhsCuPJX+K0r/A0a7WWifq/YEoZQXWnaEj8O4Y7Tg2vU8PruIrDj31hqgAAI5BJREFUqHsqD0/cwNMDLbTF8hQchfcvG0ApU7RrjYEZrjej6ZjnTOItOaSl7+tb3/oWAN3FallSCvPn1vk16PlYtvw+Qr92KH2QUmL0c85+4hOfOE6jOzJ8+MMfnvX6Bz/4ATAjyfqjG/2FHSoVJ/H7fGBuLqNfk5Z/pZ/2ve997zGM7HcP5axZ3/jGN4AZqVdad+QcyPx0fyS8Px6iUq1f+X1/nIWEX+vxazSVGPTKLSWGHWXd9HV0Z87i8eb/iyXyPB38AWcf/CpDfR6jmrQI1T11IcvWwhYeJkuSR/kOl/EVlBOxom85DNpojv01+bb7sPP/f3tnHh5VeS/+z1lmTTLZEwIhYQmLZS0IiIpiaxXbuoJWEBeqiFr9aUXbivfe4q8t2lK91rpd9WKlirtWUECxRcSNIoKIgEJYsu/rZNaz3D9OziSZJBCUJeD7eZ55Mpl5zznvnDlzvu93r0Dd2Q/JAcGAQcgToV4x0B2QnJGJs9JF4r+T0RwatT+pAKlNq+wubiV2bSWVEvE9giJZ5UE95skdmuVIoSbUwrUo5VtRQg1ofcdgFpyNmZQT08JVV1/8+qm4eA+fp4RBmcvZXXUhLlfH30enXstNfiTdwCWpSKaJQ9PxllSRvW03ycWVJBZbmQaZ67cA7XzcmICJlN2EMrgGObcWKcOPVCZheN2YSQnoaT4MWaZZO4P9jVMwTHeszoB934z51j94CamlEdM0iA49hZrJP8N0eWPnISVQTcLz9yAbBq43/0p4zp9i2rimpQFp1CrzyW55CjVqtbM1DZnyujAr9yQQNg2qAm40EtF1nQsH7qOmuooUtZTLJ3wFxgBAAt/hq/kvNGmB4DgjOdqP0fUX81naC4QcjWwZ8Hcc0Tx8dfmxMRISZzGXIj6niSq2s5YoYX7CnSjiZ3/UcTpy4XfnEL15PQAmQSTDZMfMEKrHErplc/bR74mBqHUOUj5Mp2VkE6EBPctZNpx7afE9himFAAcpkXm4jJMsl6qu4dz2Gs7tb2CqHqRQI0gSjq/KcXy1muDEeZAzIbav6uDFJJu7SXKXkJG4HbejnurgJQSi/Tsd11taTb9/bSJpdwkAcqwYifV+NNLRLWkqMnpyEpIvEUwNNW0/jlFfIafXY5VlsweayC1BzAowS3zUDv85LQXfxzAbuj0HUn0F6uZ3AND6jyD001sw23XCAzD6DCZ8+mV41r+AXF+B+ulK+P55HcbocgplifOJhBpQzWYyWp7m8d0/QzL8uLH2FyGZrTVZnJRazyB1M2N9/wCjDyBB/u3fKpo7nqP6a42vXLVkyRKgrY5xfK1UWxu2V4z2ag/aVpPxkcnxPmhbY7FzRu2I896CHUH90EMPAZCXlwe0VaSyP4/tN7ZXrvFtQOMtCO2J1wrtfdn+2eOh9d+3xa4gZ1fZsiPYL77Yahlp1/+2V9V2vERMw+gmE6G7CknxmkZ8ZoNNvAYd78u24wTio2FDO1IxxnoJuBoIyNswh36Bojm5ffDfyKXN/H05f+IJrgFgFx+xh40MYXJPTpngMOPMHUD0v0vQp0WQAg6alHTCn4YxBlvXiDvTTc2ccvo9aLU5TQ6k4EhSOvWTjr+34d5Pi+8xJCWChEJKdB4Jxg9AAr2hDPf6BzCqdrcWrw2g+fqhJqSgVH+FJEl4Ni0h+qPBGEl9Ytd/SfkcClxP4VIq8XkqSfc9RX1oCn7pUkBFAlKWv4/vnY9b5+DuMCc7XVCTZVpys4hUJ6K7XZTe/0tUVzlp3q24zH+jyE0YZGNimYd1BmBUZCHvMJE2tMDXrZaht9cgXQbRU6w0MTumxD43sizj2LImVqegbuIlaH5/rNaDfc48Hg/RMefg2vkRck0R6tZ/4Zp0YYdKbzFrpaIA6TS4biPD24K/ybZtmzjNRiDKAOUDLjppSzsB/UtIm3rI18aBEEtqgeA4REJm4O5pbC94kajLWnDoaoRX+S/GcxE5DMNLMiV8GdtGxUkmA47RjAUAysBsytYsIumuqzAKdQZvHEZLTiO1Z1QC4KhqKzRk9iCwWFcLCfkexJRCSCgkBa8lQWktDWuauNctRm4swQA0Xz+axlxNNG0QiYmJqKWfkfDhf4MexfPpElqm3tW2X9PL1zU3kOFZS3bSRwCkuteTJJVRHbqSpOU7SF6zwTJWqwpNk0cR6ZuFapogy2iyRLRPOkUOE1NRiOxYhyr7yUpYjEMuRY1V7pMx8RBWziUs/xDkVMgHeaAMPwbjvX+T9L+vQzRK2otv48/LJto3s/OJ0CKoX6y15p4/Ei39AB3hJAn9+2cjr1mC1FiFXLIDo//3uh1uKMnMmpTKQxvSqW6RcerFqFKI24Y8wsTkz8HIoU1An3XwL+0QOaZC+ttotbbmaWsidtRgVlZWh3FFRUVAW1eq3kp8zuqbb74JtGnUdp61vTK0NTVbwzpS+d0nGnYFOFujtomvynX//fcDbdeTbe05UBQ9dK6kZGvS8V2C4omPdo2PodixYwfQ+ToxuYUwAXbxEe/yMBoRNvBSp/2rOLmY35JCTpfHFxwdnOQj5xk037cU34KrcDX0ofYdD0ajSWL/BFJWZaAoMqYCzrEKalJS5zgJqRbd+RWGGSCS9BoQBhMSAj/HGTkD02NdQ0rxRqT6IkygIXs8td+bSUQzoK7O0nhThuEsOBvH7ndx1OzEVf0lib4CoK1KZK3/PJqjEynIeg23UoJHLWaQ/05k3YuemofuyqZx/lXQJwMn7WIqWi1AjoqvSfVuxesoQZaiKBRjGKBLMhGzAF2eQoSJOB2pSHSOtdFOH0fA4cDz0HMAZDYGCI1Mi2n8MctW4WdIkSCartM87LTYfdLO3rF/fzEf/bDJqGueBtNE3fs50bwRMa28q46CqQlw04QqntqcQ2VjX64b/CijHRsIBQHFA7k3HhEBDUKTFgiOayQk3CQwih+RQArv8BAtNHQYo+LkIv6TPEYfm0kKYsg4yeH/U9Z/Ac2LlsKCq1Dq+5C5IQf3Fsucbbqg8foqpPTOBYo0dTeBlPtBCscKZElIuJuvwc2ZHcaq21dY+3N6qRt+Kcgq0LHEcmTUDNR9HyBpIVxbnocpd4PUcSEZ0dMp8d9ChnsF2cF/olZXI42VkCeWoQ04A7f3XXSzT2sUeASZOtyOUhxyCVk5RUiYyFJr0RMzkcbomeiOMzFIw+P0HPSc6YPbtGKppetiVMruTa1PVCL5o6DR3+W4GF4fRp9ByOWFyHs/hzNnHXg8kOzSuX1SCXUNTajSD3hnRyKSZHL9RfNBdh10+2/KcSukT/RqST/96U+P9RROaA7W+Wn+/PkAvPjii0CbPzBeg47399uar72Cj+8rHe9PjM+Bjfn0Wu/AduR9T673QUzgep6hhXr81BDCT4Qg/fgeiaQddHvB0cFFPn1ZFBPU5h0/wdhbgK7nont0Atc2EB4WxBntWNNBU3ehpTyMqdlxJyYYDpSGywj5x+BJtQSh2+1Grv4auWonmmkSzD+TKCpoWszCY1+HrqwsGHIeCTteR24sxlf+b6KDz4rVD2ifT10fvZT0pTUoQ4Mo+c3oBXk43eU4KW/Lm25NldLl1qwI08AEdFMlqiWyp3EBJq5WS1EgprXamnt8DIjT4cD9+r/a/i/IR0lM7PQ7Mvd8jq4bNGcMpKElFIvliM8Pb/87lfqPxFW6C8oLCVcWQbJlNbN/s/GZHfZcqyqs5h7zbm5zDxxJjlshLRAIOiMjk0Q6SaQf66kIDoAlqP9AWf+7KfzDQhy16bgCFxCOjCclO6XTeMNZiJbxMEgRMEGquxCzeSToCciqr+Ng08TxubW4RFIIDj4b/N33PA8NnYZ3/zqkQB3uL18jOmhql+Pcu4qRt0aIbv0+4QsHoY9JwclWZLOCjhq6hGamEDFyqGxMojFYQEv4YUDCpOcap1RTj+fBZ5H3FAOgjRiMPmpI54H+OuQGy6cfyuni/W6IDp2I6xOr8ZFzx4eET7m4x9seTYSQFggOQHe1f23io7njo7FtX7Yd3d2dT9rG1tTtPGk7Al9w4uFiAH35AxTcjV7QRHHR36nbtQ+pcQbQLgfYux8p9X8w9BAgES2djtF4cluedELH3snK9hXIFdswgZb+pxJREzEM6zqKr41gX5feIefi3rIMOdSAGm7A5+to+dF1HTUnC8mhWoVJ3ioimjGWhrMuA9MgECgGTPz+AJqZSDBoXf92Vo2ud8z/767bXCyLQjfw3P8Myv5yQMJMTyZ6yxU44vq+B4NBnF+sj+2vLrk/Ib+/U0XGeK04EAhAQgbOhBSkxhq0sj2xrJf4TI2YBt36WWbPnt3NN3pkEJUNBAKB4BhhC2oFSxtOG7IeNf2DtgHuvUh9nwA5DEjoFZdiNHZfKMO1Zy3OzVaQlZmQif97M3o0Dz11QOy53Fjc5RitbyZNv7wS020JSu/f30SubQBJRicNnXQ0M4XDofu5nnsLeX+Zddwp4wj86XbMVF/ngaaJc9t71mdISieUnndIx9F9lolbaa75VvM9kghNWiA4APbK316Bd1eRzF6F2z4/2wedmWmli7TP54TOVfVs7PftymHXXXfdYf08gt6HLaj3RGciO4I4ct4CJYhEX6Ss19oJ6BmYjRMAvev97F1Hwmd/A0UBh4fQabdgqgcPzAJag8paOUDLxuiIwTRfP4Pkh58Hw0DZU4qRntLTj9ojlL2lOP75CQD6SYMI33CZ9Zm6QC3chFJTjA74h53WVkWlh2gZuajF23HUFCFFgpg9CGQ72gghLRAIBMcYFwM4ffDzlLGA/cXbIfFNFLcbDJBRiJbNwGwcB+idmlC43W7kUAMJW5YiSRImEi1n/gY9ZSDh2lqgbTFpLwJt87Cd2unx78cVjaKoKmFncmycnerUIQBr1NBYq1SjpILw6IKYm8depMa3sIzHGWe2br/49a7+0Ko8pqpErp+BpHYWU/b+5Y9eQ9N0ooqT6gETYvuLLxdqzz++VbGeWYDLWA2GAfu3EckfE5uzHfxZXW2V3L3ooou6/CxHGiGkBYIDYGu08Tcr+0YZ84W1+o7tH/iAAQOAzjXBbeJvXvH7KysrO3wfQnBcYGnUi9gTvgKltUANpiWgjYaTD6okSq2R1dH+k9DTBh3SsSW9LfDLdHgO2KBRan/tKofZYxqJ4ti8EwBtwkjMvlndj9U1HNVWDf6mgeNxlRWham3ZEqGsvpDYhYm8HVpKn9hzOXSQtK1jhBDSAoFA0EtwMYCzCtYSYT+vvfoqWshHTtYQIBRLU7K1RDtdyeVygSsb3dcXpakMI1AfC3ayF33xgVQ29jh/S4CEaBTDMGioq8OtJLXtm47lb5XK2tj2Wp90TNOMvW8vZuOxNVp70WqPs1+3j+PdVoisaUhI6KeM6dTYpn3DEKW2FKeuozTWkVBRSdq6jzoc01QdVF86l9Dgtmpi8Rq+Ggpg2KWlDcutZWvbdqDYj398bHuyCyEtEBwAu968XaHMvlHaNxX7Jmdr3PF9quPzn+N90fFdsCoqKoDO3dIE3x1knLgZQqS5z8EHt0P35aI0lSEHDj0jQDLbacdS1/7fGKE2rdvwHMb2p6aJ4633radeN/qYoQccLkWCKI11OCpL8DQoGK0Li9j7WpTMl56g7seXo6WkE83si+7xdhjjrtobe64n9s5aAsdESJeXlzNv3jw+/fRTysvL2bt3b8w8KBB0xR133MEbb7xBRUUF/fr1Y8GCBVx11VXHeloCwRHDbqf7/PPPA20atJ02Fd/cRVPcVu3ssL+TBhpfNMfWwmMpgVoYE4hqGg3NLSim5Ye1Nd/22rsUjmDbw50mSE5np4ZA9vFsrTS+NWt8wxpVVVH2lKDsKgIkwj+YiKYqBFv9wnZgpv25DMMgeeN61IoSTExk1UHztMswBliCXa4sxbfiWdB1st5aZrX7UB1UTb+W0JCRMY3as3czhmGguxKoTcgCvz/mgz7WGrTNMRHSsiwzbdo07rrrLk499dRjMQXBcUZCQgIrVqxg6NChbNy4kWnTplFQUHDUrp+DVSizsSuU2TefeN9zvCZtj7ODVOw+1wLBoWJ4WquEhZuQIi2Yzq5Nz12hNtehhAIYkoyhOOhOl1Y378T79D9i/+sZqd9ixh2Rq9osANHJYw44NmHLx6SuXQ5YDT0aLryawMk/avvd9R+E4fGS/NKTSHprIRctSsZLT1Bz2fWE+hcgRcN4Kr4GoKX/SJAPYkE4RhxUSC9evJhPPvmEV199NfbaLbfcgqIoPPjgg9/ooNnZ2dx0002xVZHgxKawsJAJEybw7rvvMm7cOMrKyhg9ejSvvPIKU6dO7dE+7rnnntjzSZMmMWXKFD7++GOxyBOc8MycORNo06jjC+LYWrEjOR+PaWKaJnLdHiKZ34v5cG3sbe3oardpkLzmVVz1m/HU7gPTJPed19h39nSQlQ5FQNxf7sHz5GuWVqooRH4wCalfVgeBHq8xx7fUtfcX7yuXJAklEiHWUFrtKDDtcU1NTfi2bcS36gV0LYQpyYT65BHMG2rNsX1Z0QlTaBwyArWyFLOyjKQ3lyFHI2S+/AThC69BMf1IWhRNi1KdOpDCwkIALr/88oN9JUeVgwrp2bNns3DhQhoaGkhJSUHTNF588UVWrVrFTTfdxLJly7rcLi8vj61btx72CfdGxo4de6yn0KsZPHgwf/zjH7niiivYtGkTc+bM4ZprrmHq1Knf6BoKBoNs3LixV/bBjk8t6Q775mVr1CUlJUCbifNYIa7l4xfN1z/2XG0uJ5LZfftFACkcJOPlJ3EWF6K4ysANpimTtHMLudEoJed1FFZqbUPseehn04j89EzQu87Z/iY4P7M6vSErmMlJXY7xbdtIn7dfwjTBVGVCGXnobi9GN/nNZqKPaKKPaF4BRqKPpGWPIOk6fV59EinLBBk0VyLN2UOgprbLfRxrDiqkc3JyOOOMM3j55ZeZO3cuq1evJiMjg/HjxzN+/HgeffTRozHPXs03tSh8l5g7dy4rVqxg0qRJSJLE8uXLAXj00UcP+Rq64YYbGDNmDOeee+6RmOp3GnEt915sjfpvf/sbAPn5+UBbsKLh9ZKCjISB7K9C1/VOmnMsmto0yHj5CTxl+0FRkHwJ6Fk+pJp61GaVtD074MuNNEw+G7A04Ui/zDaNOC0ZwzQ7ltmkzWdst1rtKiob2hrR2OPUXUU4N20HRSE65ftIvkQk2qwEpmni2vQBnndftfpVO5zUTzqd1L0fIQF6JIymabHjx2vwmqahDRmJ/4Kr6fPKo7gCxSj+IP7+g/ms3zhK9+5j7ty53+r7OVL0yCd99dVX89hjjzF37lyeffZZrrzyyh4fYP369Zx33nmAdVF9+eWXB9lCcKIyd+5cLrjgAp544olYdPShcuedd7Jt2zbWrl17UG31WGB/rvi5xUd523/t/Orzzz//aE1RcKIiSWieDBwtFSjBLspcmiaOuiokLUrGe8txFe+xzNYnjYX+TTjq9xDKGo4S8ENDHe6SPR02j+RmY7pdSKEwrtUfED3l8LQ+lRuaSXrkBesfRSFyfue+zK5NH5D02tNoponpdFFyybWoehOpe620q4x1z1B72kyUSCJKUw3u5iqkSAjdNDElBVXXUZprkUq/QklqQbWLrjh9lGYd2OJwrOmRkL7ooou48cYb2bZtG2+++SZ/+tOfAEujefbZZ7vcxhbIU6ZMiVWjEXx38fv93HbbbVx77bUsXLiQ6dOnk5aW1qNryOa3v/0tq1atYt26dbFUKIHgu4btEvnLX/4CWO4ksJq5eOUEfLqO2VhOIBBoqxwmQ9ZLT+IptgSvLMsgK2gjxhG84iZ8y2+yFo59hiOl7kVtacKrRfElJoIsW+8lQHjaaXiXv4e8pxTHZzvwD7NqZdvR13ZKoh3tbWuy8c0q7N+vw+HA9+Z65Ear4UfzrPMIpyUhtY6TZRnnp+vxvP4MSBJqQiINc27Hm5MPhoFWuQP33i046orIXfHHdq1erXOl2AGaut1uMkJY10lwusCZSp8r/oO5E6ceni/mCNGjcjFut5sZM2Ywa9YsJk6cSF6e9cU8/vjj+P3+Lh8H05hDoVDsCwuHw53KtQlOLG699VbGjx/PU089xU9+8hNuuOEGoOfX0L333suyZctYs2YN6em9tw2jy+XC5XIhSRKSJCHLcodAH/v1aDRKNBqluLiY4uKuGxoIBIdKOKEvAM6WClyN+wCQQgGyn38UV9HuDmMjJ42h5cpbkPQgkmGZoTVfP/TsXAAcpXtJfu1pq2RmK6FzT8X0Wv5fz3NvITe3gKYj+4OotY24Kutw1jTgKiwh/eV3GXLfMwx+8Hm8tU24mgNQVEd1rYPqOgXTBNemHXg+2gJAdOQQwmdN7DBH56fr8b70JGCC00XDnNvR8lvbUcoy9T+cS2jA2K5PhtRRvBmqi7AnDalBh9QxkDwEBvVuLRoOIQXr6quv5qmnnmLJkiWH5cB23h3A8OHDATpFIgpODN544w1Wr17NF198AcADDzzA2LFjee6557jiiit6tI8FCxbgdDoZMmRIh9cWLFhwROYsEPR2br311g7/L126lP1aFlMjGrKp496yjMYJ/4+ct17AVboPgPBJYwmNPQUjIYnogKHIUQ3f5mWYdnGdhFTCF5yKu7IEubyYxG0bcTgcNM+4FmQZZ5KL6MU/RFm2Erm6nsxf/hmANM0S8jENtnVhGolEUABnIESd38f2e3fzcjQf0h0MSWrkt8ZKADSXk7qZ5xJptbrquo73809IWv53oibIHg+N1/wSZcgIFNp82aZpErnodow9m5FCfnRZxUhIocHhw3AnUFdbC6ZBWXExCXVVnL97I2S23kOuvBkyDlB2tJcgmT2UjEVFRQwfPpyKigphahQIumHdunWAlWYIbQvP+LQZu+TglClTjuLsBCcyS5cuBWB85DOyKq0uUs15Z5C0ZivuSIhwXgGN190JimpZdKJBUj5/BlfZJgBMScI/7T4MXz8c4SAJjy1CKrPy9kNjJ+O/9DpcHg+YJp6/PIdj47ZYIFi0GyFdm5uBKcuc+48V1GrJTMj5H+v91prfA51V/FfGMow55xAZNRS9tf64Y9eXpL65DAkwnU78c3+Flj8kFgBnm8/jzel2oJrdL9uO+WjcspHR/3yZ/CyrKx1X3QJTzjk8J/4I0yNN2jAMHnjgAS6//HIhoAUCgaAXEqvAp/0Mlv8aagqJ7H4XjBYikTTqvD6C1cW4GwpJrPsKb/UXyEaEKGAkZlM36kpcCX1A15E9CTTP+w2uh3+Ho7IEddMHuKJRwrNuBFlG/8XPcGwcibZrH6aqEJQlTI8T0+lE0jSiLQGCg3LZGw3w4aZ+VDo2IKkmgYxkpqtrqWtMYmMwn/1BJ480n8qv3/lfeAd0u9iPrqMBkttL5WXz8OQVgGl2ysO2Fwm2u9SOf6qsrARg165dpNRXMbv6a7AF9JU3HzcCGnogpFtaWsjOziY/P5/Vq1cfjTkJBMctZ555Zo/GDRs27AjPRPCdRXXBOf8Br/8SKCXBWw1qgKyWf8JHnwK0dbmSJIJpw2g4+XpMRwLtcy7MhCTq59xO6tMPoFQU49m6AYfTiX/GtaCqRCeNwj9iIADBhnrkcAgcDgxPQkxofvhGKus29AfJKuh1zU2FZKRm8aOdXxB+JcAXwZPYEh3R5ccwHE5qZt5IuP9gDrXLs6TrqKEA6TVljN/wNuRavnpm/wLOOL5SN3ts7hYIBALBcUT1bnj7d7Dxn6BHITmdYtkyFysuLw2+IYRzJ9KU9j1S06xgTNtSamuszc3NyC3NZP79LzirylBUleCYU9Bm/8LSqDUN94fvEK2vI+n9lRiGQcuI8ew8ZRrb9qbxzCv9ACjePpNBefDxx+/Bzq1U/uo6Xqr5MSuaziWSmslDV72H16m15VUDgfyhuHOs7eO7a9katN2/ura1b3ZRURG+mnIuqdgJjXGNRmb/As6cdhhP8NFBdMESCASCE5HMArjkQdg+DZr2QX2IxoR8dhWciZo9DFNWYoVQDoSRkETZ5TfR94VH8dRV4fn8E3S3m8D0n+N9+xU8761E19tKPCd8uYn8hnpeV38NgKoYDMqDWGmEqnJreo46TIeTaGIyizdfwI1XluNQrSInh6w7GjpKJExKVQlj3l8OOdkd3z9OBTQITVogEAhObEr2wZ9/DS1WVTBm/BzOvRiAp59+GoB+/SyNNS3NatdoB2jZGqtpmigBP/mvPomjsgxZkYkMHIZzz04ANF2ncfLZyLu24ykvIhwO8d/ynexMvZykRCj9ciqSBO+99x5oGjx2L9qWT/nPLT/iI+NUQtm5DBvUyPWzKjscP77Tl52229DQAEBZWRkp1WVMry2EhnZlPSUJzrsU0jJh0DDoP/BwntGjSo/ypAUCgUBwZFi8eDEjR44kKSmJgQMHsnjx4g7v79u3j7POOguv18vw4cN59913D+0AuQPgjj9CYmvQ7ytL4O3XD3meujeR6itvRU+1TOOur7+IvRcYNobGyT/Cn9+WItnXsPL/m/2wv8Qq8x0MQjCqErzmLqIFYxnj3Y4zaJmsq+t60JvaMJAj4dgjtaqEcevf6Cygr7oFLr7S0p6PYwENwtwtEAgExxTTNFm6dCmjR4+msLCQc845h/79+8e6Mc2cOZPJkyezcuVKVq5cyYwZM9i1axeZmZk9P0juAJj/B7j/bvA3WYIamDNnTodhjz/+OGBVL4M2X7Bd10JzuUh0efGGKwhn9EE3TdzV5UhbPiFzyydEwmFagLyRo7nx5supXAZffgXNLbB9F1w2zz6SCuXXQVM5bjfUBOsZc/K/2bnT0pTt8rq2jzoQCJBeXcrPmks6+5r75liCedoMSE6FISMgb1DPz00vR2jSAoFA8C148cUXSUxMjD1cLlePW7AC/OpXv2LcuHGoqsqwYcO48MIL+fDDDwH4+uuv+eyzz7jnnnvweDxMnz6dUaNGdWgd3GNsQd1eo37nH5b52X6YRtfbGjqSrpPxwSq8rTW9I+nZ7LtkLqHMnA5DI24vzF+Ee2B/Fs6HEcMgOXUsyaljO+7TaWnObjnCrxMX0z+lHMnQrYfe+mj9P72qhJM/XtlZQIMloK++FS65Cn54/gkloEH4pAUCgeCw0dTUxKRJk7jtttuor6/nvvvu63as7Vdtj2majBs3jnnz5nHDDTfw+uuvs2DBAnbs2BEbc/PNNyNJEn/961+/2SRL9rVp1PG43HD+rJjPGtOE5cvg7dcgGmkbl5YJd94LGdkQDsGnH4C/GZxOGHeqpdG2EonAhxuhoTHuWLqGvPplJjWtpI+787noElm2NGZvYttrw0dD/uCebX8cIszdAoFAcBgwDINZs2YxdepU5s2z7Lq/+c1vDmkfCxcuxDCMmBna7/d3isBOTk6mtLT0m0/U1qj/vABamju+Fw5ZGrYWhR9fCq88De/E+a9TM+CORZaABkuwn3Z2t4dzOuGs07p6R4Vzp8NjX8G2TQeftyzDdXfAhO9WlT4hpAUCgeAwcPfdd9Pc3MxDDz30jbZ/+OGHWbp0KevXr4/5ZBMTE2lq6qjxNjU1xbpMfWNyB8B/PWRpwO015H+tgKYG+MffrYdNehZMORfcHph4BiQdPHWrRzidcNPd1jzqqrsfJ0kwcvwJZ8ruCUJICwQCwbfkhRde4Pnnn2fjxo2x5g+LFi1i0aJF3W7TvoXvkiVLuO+++3j//ffJzc2NvT5ixAj27NlDc3NzTDB//vnnzJo169tPOi0Dzrmo42vjToU/32UJapv0LLjj3iPXjMLhgMmde0gLLIRPWiAQCL4Fmzdv5pxzzmHNmjWMHTv2kLd/7rnnmD9/PmvXruWkk07q9P4pp5zC6aefzu9//3tWrVrFnDlzDj26+1Cor4V/r7NM326vJUAPl+YsOGSEkBYIBIJvwcKFC/n973+P292W5ztlyhRWrVrVo+0HDhxISUlJzMQNMHv27Fg61L59+7jmmmvYsGEDeXl5PPLII5x9dvc+YMGJhRDSAoFAIBD0UkSetEAgEAgEvRQhpAUCgUAg6KUIIS0QCAQCQS9FCGmBQCAQCHopQkgLBAKBQNBLEUJaIBAIBIJeihDSAoFAIBD0UoSQFggEAoGglyKEtEAgEAgEvRQhpAUCgUAg6KX8H20CWaHiY/y9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting.plot_prob_atlas(smith_maps, title=\"Smith's rsn regions\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting.plot_prob_atlas(smith_atlas_rs_networks,\n",
    "                         title='Smith atlas',  \n",
    "                         colorbar=True)\n",
    "plotting.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# An example for correlation matrix using both atlases\n",
    "\n",
    "\n",
    "# Smith\n",
    "# We take the first out of the 10 rsns\n",
    "smith_1st_rsn=image.index_img(smith_atlas_rs_networks, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "smith_time_series=create_mask(smith_1st_rsn, img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "smith_time_series=create_mask(smith_1st_rsn, img)\n",
    "cropped_smith_time_series=np.array([e[:50] for e in smith_time_series])\n",
    "smith_cor_matrix=calc_correlation_matrix(cropped_smith_time_series)\n",
    "plot_cor_matrix(smith_cor_matrix, 'smith correlation matrix')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot the correlation matrix\n",
    "# Harvard Oxford\n",
    "harvard_oxford_time_series=create_mask(harvard_maps, img)\n",
    "harvard_oxford_cor_matrix=calc_correlation_matrix(harvard_oxford_time_series)\n",
    "plot_cor_matrix(harvard_oxford_cor_matrix, 'harvard oxford correlation matrix')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ICA analysis (Varoquaux et al., 2010)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CanICA(random_state=0)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# perform an ICA given the subset of the data. \n",
    "ica = CanICA(n_components=20,\n",
    "                random_state=0)\n",
    "\n",
    "ica.fit(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 44591)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ica.components_.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 475.2x187.2 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# exctract a 3D representation of the componenets and plot\n",
    "components_img=ica.components_img_\n",
    "plot_prob_atlas(components_img, title='All ICA components')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 45.9 s, sys: 1.37 s, total: 47.3 s\n",
      "Wall time: 40.7 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# ICA\n",
    "components_img_1st=image.index_img(components_img, 0)\n",
    "ica_time_series=create_mask(components_img_1st, img)\n",
    "ica_cor_matrix=calc_correlation_matrix(ica_time_series)\n",
    "plot_cor_matrix(ica_cor_matrix, 'ICA correlation matrix')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(152, 1783)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ica_time_series.data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Varoquaux G. et al. “A group model for stable multi-subject ICA on fMRI datasets”, NeuroImage Vol 51 (2010), p. 288-299\n",
    "\n",
    "Makris N, Goldstein JM, Kennedy D, Hodge SM, Caviness VS, Faraone SV, Tsuang MT, Seidman LJ. Decreased volume of left and total anterior insular lobule in schizophrenia. Schizophr Res. 2006 Apr;83(2-3):155-71\n",
    "\n",
    "Frazier JA, Chiu S, Breeze JL, Makris N, Lange N, Kennedy DN, Herbert MR, Bent EK, Koneru VK, Dieterich ME, Hodge SM, Rauch SL, Grant PE, Cohen BM, Seidman LJ, Caviness VS, Biederman J. Structural brain magnetic resonance imaging of limbic and thalamic volumes in pediatric bipolar disorder. Am J Psychiatry. 2005 Jul;162(7):1256-65\n",
    "\n",
    "Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006 Jul 1;31(3):968-80.\n",
    "\n",
    "Goldstein JM, Seidman LJ, Makris N, Ahern T, O'Brien LM, Caviness VS Jr, Kennedy DN, Faraone SV, Tsuang MT. Hypothalamic abnormalities in schizophrenia: sex effects and genetic vulnerability. Biol Psychiatry. 2007 Apr 15;61(8):935-45\n",
    "\n",
    "Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Filippini N, Watkins KE, Toro R, Laird AR, and Beckmann CF. 2009. Correspondence of the brain’s functional architecture during activation and rest. Proc Natl Acad Sci USA (PNAS), 106(31):13040-13045. [[link](https://www.pnas.org/content/106/31/13040)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "BMED360",
   "language": "python",
   "name": "bmed360"
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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