DP02_12b_PSF_Science_Demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "749b0ddf",
   "metadata": {},
   "source": [
    "<img align=\"left\" src = https://project.lsst.org/sites/default/files/Rubin-O-Logo_0.png width=250 style=\"padding: 10px\"> \n",
    "<b>Point Spread Function (PSF) Analysis for Cosmology </b> <br>\n",
    "Contact author(s): Andrés A. Plazas Malagón<br>\n",
    "Last verified to run:  2024-02-28 <br>\n",
    "LSST Science Pipelines version: Weekly 2024_04  <br>\n",
    "Container Size: medium <br>\n",
    "Targeted learning level: advanced <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9da1a210-d858-42fe-8591-570965b8be1a",
   "metadata": {},
   "source": [
    "**Description:** Demonstration of the use of measured PSF properties in weak lensing analysis. **Adapted to use the dp02_dc2_catalogs_frdf catalogs produced at CC-IN2P3.**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80a0baf5-51ad-40ec-8991-060a7b27c289",
   "metadata": {},
   "source": [
    "**Skills:** Use of the catalog data products for PSF analysis. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "393da88f-7978-4920-aa4a-a9830df6eed9",
   "metadata": {},
   "source": [
    "**LSST Data Products:** DP0.2 `Object` and `Source` catalogs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c67fab9-136a-4adc-bb42-142b91ab69dd",
   "metadata": {},
   "source": [
    "**Packages:** lsst.analysis.tools.atools"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f72b27f",
   "metadata": {},
   "source": [
    "**Credits:** Developed by Andrés A. Plazas Malagón in collaboration with Melissa Graham, Jeff Carlin, Douglas Tucker, Ryan Lau, and the Rubin Community Science Team for DP0.2. The section on PSF size and its correlation function using the `treecorr` software is based on a Jupyter notebook authored by Claire-Alice Hebert. The section on PSF size histograms and their dependency on the central filter wavelength is derived from a Jupyter Notebook by Tianqing Zhang. The section on `rho` statistics using `lsst.analysis.tools` draws from a Jupyter Notebook by Arun Kannawadi.\n",
    "This notebook incorporates suggestions from the [Accessible Authoring Checklist](https://iota-school.github.io/accessibility_hackathon/hack#checklist) and utilizes NASA's Astrophysics Data System Bibliographic Services."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28e91cbf-ab7f-4e26-9276-b00299d6065e",
   "metadata": {},
   "source": [
    "**Get Support:**\n",
    "Find DP0-related documentation and resources at <a href=\"https://dp0-2.lsst.io\">dp0-2.lsst.io</a>. Questions are welcome as new topics in the <a href=\"https://community.lsst.org/c/support/dp0\">Support - Data Preview 0 Category</a> of the Rubin Community Forum. Rubin staff will respond to all questions posted there."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfc73be0",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 1. Introduction\n",
    "\n",
    "In the context of astronomical surveys, such as the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), \n",
    "a significant objective is to extract cosmological information by scrutinizing subtle deviations in the \n",
    "shapes and orientations of galaxies. \n",
    "These deviations are caused by gravitational lensing from large-scale structures in the foreground. \n",
    "However, the observed shapes of galaxies are not solely influenced by the gravitational lensing effects \n",
    "of the universe's large-scale structure (referred to as \"cosmic shear\"), \n",
    "but also by a combined blurring effect known as the point spread function (PSF). \n",
    "The PSF arises from various factors such as atmospheric conditions (for ground-based instruments), \n",
    "telescope optics, and the image sensor.\n",
    "PSF analysis is thus an integral part of cosmological studies (and is important in other astronomical fields as well).\n",
    "\n",
    "Whereas the introductory DP0.2 PSF tutorial notebook (DP02_12a_PSF_Data_Products) demonstrated how to access\n",
    "PSF information for `calexp` and `deepCoadd` images, this tutorial focuses on the measured PSF information\n",
    "that is available in the `Source` and `Object` catalogs for sources detected in the `calexp` and `deepCoadd`\n",
    "images, respectively.\n",
    "\n",
    "**Section 2** introduces and explores the PSF measurements that are available in the `Object` and `Source` catalogs.\n",
    "Two TAP queries are executed: one to retrieve a set of `Objects` detected in the `deepCoadd` images,\n",
    "and one to retrieve a set of `Sources` detected in a `calexp` (single visit) image at the same location.\n",
    "\n",
    "**Section 3** calculates and displays the size of the PSF in a particular photometric band (`i`) as a function of sky location. \n",
    "It also computes the size-size two-point correlation function (autocorrelation) using the `treecorr` software. \n",
    "This software is widely used in state-of-the-art weak lensing analyses to derive cosmological parameters. \n",
    "These calculations are performed using both `calexp` and `deepCoadd` images.\n",
    "\n",
    "**Section 4** illustrates one chromatic dependence of the PSF: the wavelength dependence of the PSF size.\n",
    "\n",
    "**Section 5** calculates the rho statistics, a series of two-point correlation functions used to diagnose \n",
    "the quality of a PSF model for weak lensing analyses. This calculation is done using the `lsst.analysis.tools` framework."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de0dbefc-e2f3-4ec2-b49c-318ad5132417",
   "metadata": {},
   "source": [
    "**Additional resources.** \n",
    "\n",
    "It is not required to review and understand the following resources before working through this tutorial.\n",
    "\n",
    "For an overall review on PSF modelling and a look towards the future, see\n",
    "\"Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies\" by\n",
    "[Liaudat et al. 2023](https://ui.adsabs.harvard.edu/abs/2023arXiv230607996L/abstract).\n",
    "For papers on the impact of chromatic effects on the PSF on weak lensing cosmology see \n",
    "\"Atmospheric Dispersion Effects in Weak Lensing Measurements\" by \n",
    "[Plazas and Bernstein 2012](https://ui.adsabs.harvard.edu/abs/2012PASP..124.1113P/abstract),\n",
    "or \"Impact of Atmospheric Chromatic Effects on Weak Lensing Measurements\" by\n",
    "[Meyers and Burchat 2015](https://ui.adsabs.harvard.edu/abs/2015ApJ...807..182M/abstract).\n",
    "For a paper on the impact of differential chromatic refraction (DCR) on supernova cosmlogy, see\n",
    "\"The Dark Energy Survey Supernova Program: Corrections on Photometry Due to Wavelength-dependent Atmospheric Effects\" by\n",
    "[Lee et al. 2023](https://ui.adsabs.harvard.edu/abs/2023AJ....165..222L/abstract).\n",
    "\n",
    "For more details on PSF modeling and null tests for galaxy surveys, including `rho` statistics, see\n",
    "\"Dark Energy Survey year 3 results: point spread function modelling\" by \n",
    "[Jarvis et al. 2021](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract),\n",
    "or\n",
    "\"The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey\" by\n",
    "[Li et al. 2022](https://ui.adsabs.harvard.edu/abs/2022PASJ...74..421L/abstract).\n",
    "And finally, for an approach to a mathematical framework that aids in producing well-defined coadded PSFs for static-sky sources,\n",
    "see \"PSFs of coadded images\" by\n",
    "[Mandelbaum et al. 2022](https://ui.adsabs.harvard.edu/abs/2023OJAp....6E...5M/abstract)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc36f107",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 1.1. Import packages\n",
    "\n",
    "The [matplotlib](https://matplotlib.org/) (and especially sublibrary `matplotlib.pyplot`), [numpy](http://www.numpy.org/),\n",
    "and [scipy](https://scipy.org/) libraries are widely used Python libraries for plotting and scientific computing and analysis.\n",
    "The [treecorr](https://rmjarvis.github.io/TreeCorr/_build/html/index.html) package by\n",
    "[Jarvis et al. 2004](https://ui.adsabs.harvard.edu/abs/2004MNRAS.352..338J/abstract) \n",
    "is a widely used tool for fast correlations measurements based on a ball tree method \n",
    "(similar to a [k-d tree](https://en.wikipedia.org/wiki/K-d_tree)). \n",
    "In particular, it is widely used in state-of-the-art weak lensing cosmological analyses. \n",
    "\n",
    "The `lsst.rsp` package provides access to the Table Access Protocol (TAP) service for queries to the DP0 catalogs.\n",
    "The `lsst.analysis.tools` package is in-developement by Rubin staff for the \n",
    "creation of consistent and repeatable plots and metrics.\n",
    "Intermediate and advanced users are welcome to use it too; more information is available in the \n",
    "[analysis tools documentation](https://pipelines.lsst.io/modules/lsst.analysis.tools/index.html).\n",
    "\n",
    "> **Warning:** The ``FutureWarning`` that might appear below about ``lsst.pipe.tasks.configurableActions`` being deprecated\n",
    "> is ok to ignore for now, it does not affect any functionality in this notebook. It will be fixed in the future."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d185358a-4c15-4b04-8e3d-13083191ee72",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:24.702457Z",
     "iopub.status.busy": "2024-04-29T14:23:24.701775Z",
     "iopub.status.idle": "2024-04-29T14:23:33.270644Z",
     "shell.execute_reply": "2024-04-29T14:23:33.269783Z",
     "shell.execute_reply.started": "2024-04-29T14:23:24.702407Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/lsst/software/stack/stack/miniconda3-py38_4.9.2-8.0.0/Linux64/analysis_tools/g67abf2d982+513a741855/python/lsst/analysis/tools/tasks/catalogMatch.py:31: FutureWarning: lsst.pipe.tasks.configurableActions is deprecated; it has been moved to lsst.pex.config.configurableActions. Accessing though lsst.pipe.tasks will be removed from Science Pipelines after release 26.0.0\n",
      "  from lsst.pipe.tasks.configurableActions import ConfigurableActionStructField\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from scipy.optimize import curve_fit\n",
    "import treecorr\n",
    "\n",
    "from lsst.rsp import get_tap_service\n",
    "from lsst.analysis.tools.atools import RhoStatistics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa240aaf-d675-4d72-bb68-d736200f4980",
   "metadata": {},
   "source": [
    "### 1.2. Define functions and parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78fc9bc8-29d1-48e7-a9a5-d6b0fa1a1cfa",
   "metadata": {},
   "source": [
    "Instantiate the TAP service for DP0.2 catalog access."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6c493f00-7a7d-4c8d-85c5-46e45bd4ae30",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:33.284037Z",
     "iopub.status.busy": "2024-04-29T14:23:33.283775Z",
     "iopub.status.idle": "2024-04-29T14:23:33.398205Z",
     "shell.execute_reply": "2024-04-29T14:23:33.397176Z",
     "shell.execute_reply.started": "2024-04-29T14:23:33.284020Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "service = get_tap_service(\"tap\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1221e437-0e2c-4034-8af1-04fb8e9b6307",
   "metadata": {},
   "source": [
    "Set a standard color style."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "400c0d16-523f-49cb-8369-3f3d19bb8fc0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:33.401112Z",
     "iopub.status.busy": "2024-04-29T14:23:33.400628Z",
     "iopub.status.idle": "2024-04-29T14:23:33.949883Z",
     "shell.execute_reply": "2024-04-29T14:23:33.948620Z",
     "shell.execute_reply.started": "2024-04-29T14:23:33.401078Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "plt.style.use('tableau-colorblind10')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "955b0a82-9fb4-46fb-bc9b-2db4c04497ba",
   "metadata": {},
   "source": [
    "**Function**: `powerLaw`\n",
    "\n",
    "Defines a power-law function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7d654417-a7d2-4a2c-9846-de3ee6bcbafb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:33.951937Z",
     "iopub.status.busy": "2024-04-29T14:23:33.951435Z",
     "iopub.status.idle": "2024-04-29T14:23:34.848182Z",
     "shell.execute_reply": "2024-04-29T14:23:34.846767Z",
     "shell.execute_reply.started": "2024-04-29T14:23:33.951893Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def powerLaw(lam, a, b):\n",
    "    \"\"\"Function to return a power-law.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    lam : `array`\n",
    "       array of values\n",
    "    a : `float`\n",
    "       constant factor\n",
    "    b : `float`\n",
    "       power\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    result : `float`\n",
    "        a*lam**(-b)\n",
    "    \"\"\"\n",
    "\n",
    "    result = a*lam**(-b)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5285320-1e9f-4618-857e-dbdd50ec2f12",
   "metadata": {},
   "source": [
    "## 2. The measured PSF properties in the catalogs\n",
    "\n",
    "Recall that the `Objects` and `Sources` catalogs contains measurements for astrophysical objects \n",
    "detected in the `deepCoadd` and `calexp` (single-visit) images, respectively.\n",
    "\n",
    "These measurements include a variety of parameters that characterize the PSF as measured for\n",
    "that `Object` or `Source`.\n",
    "While these parameters are calculated for all detections, they\n",
    "are only relevant for point-sources (stars) and not extended sources (galaxies).\n",
    "\n",
    "### 2.1. PSF properties for `Objects`\n",
    "\n",
    "To explore what PSF-related measurements exist, one option is to page search for the term \"psf\" in the \n",
    "[DP0.2 Catalogs Schema Browser](https://dm.lsst.org/sdm_schemas/browser/dp02.html) for the `Object` table.\n",
    "\n",
    "**Option:** To retrieve the column names and descriptions for the `Object` table and search for the term \"psf\",\n",
    "uncomment the lines in the following cell and execute the cell.\n",
    "The result is quite a long list, so this cell is commented-out by default."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6afee619-2c4a-4ce5-8b1e-550f11ff7f2c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:34.850484Z",
     "iopub.status.busy": "2024-04-29T14:23:34.849863Z",
     "iopub.status.idle": "2024-04-29T14:23:35.229952Z",
     "shell.execute_reply": "2024-04-29T14:23:35.228824Z",
     "shell.execute_reply.started": "2024-04-29T14:23:34.850438Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# results = service.search(\"SELECT column_name, description \"\n",
    "#                          \"from TAP_SCHEMA.columns \"\n",
    "#                          \"WHERE table_name = 'dp02_dc2_catalogs_frdf.Object'\"\n",
    "#                          ).to_table().to_pandas()\n",
    "# for cname, descr in zip(results['column_name'], results['description']):\n",
    "#     if (cname.find('psf') > -1) | (cname.find('PSF') > -1):\n",
    "#         print(cname + ' --- ' + descr)\n",
    "# del results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54a159d4-7ed6-41ce-a6e8-14e45a7924d6",
   "metadata": {
    "tags": []
   },
   "source": [
    "The `Object` catalog contains measurements for sources detected in the `deepCoadd` images for *all* six filters, *ugrizy*.\n",
    "Thus, for all the PSF-related measurements in the `Object` catalog, there is one per band.\n",
    "\n",
    "Some of the most useful PSF-related parameters in the `Object` catalog include the following.\n",
    "\n",
    "`{band}_psfFlux` and `{band}_psfFluxErr`:\n",
    "The flux (and its error) derived from linear least-squares forced-fit of PSF model.\n",
    "\n",
    "`{band}_psfFlux_flag`: A general failure flag for the linear least-squares forced-fit of PSF model (`True` or `1` if failed).\n",
    "\n",
    "`{band}_ixxPSF`, `{band}_ixyPSF`, and `{band}_iyyPSF`: Second-moments of the shape of the fit PSF model ($I_{xx}$, $I_{yy}$, and $I_{xy}$).\n",
    "\n",
    "`{band}_calib_psf_used`: A flag that is `True` (or `1`) if the `Object` is a star that was used to establish the PSF model\n",
    "for the image (i.e., bright isolated stars with well-measured PSF properties).\n",
    "\n",
    "`{band}_pixelFlags_inexact_psfCenter`: A flag that is `True` (or `1`) if the `Object` is close to image pixels which do not\n",
    "have an exact PSF, typically because they are near an image edge. \n",
    "Objects near these edges can have a discontinuous PSF."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd891c38-bca7-4413-bc90-eb88f3bdeff6",
   "metadata": {},
   "source": [
    "#### 2.1.1. Retrieve a sample of `Objects`\n",
    "\n",
    "Use the same central coordinates as were used to retrieve the images in the introductory PSF tutorial notebook\n",
    "(DP02_12a_PSF_Data_Products.ipynb).\n",
    "\n",
    "Use the same default filter, *i*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8396cdb0-cc76-4223-88bd-447561217225",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:35.231859Z",
     "iopub.status.busy": "2024-04-29T14:23:35.231310Z",
     "iopub.status.idle": "2024-04-29T14:23:35.513734Z",
     "shell.execute_reply": "2024-04-29T14:23:35.512495Z",
     "shell.execute_reply.started": "2024-04-29T14:23:35.231811Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "use_center_coords = \"53.0, -34.1\"\n",
    "band = 'i'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25322224-42db-45d3-a968-4c2f4afd1c04",
   "metadata": {},
   "source": [
    "The following query retrieves the PSF-related columns mentioned above, plus a few more columns\n",
    "which will be used later in this notebook, when calculating rho statistics with the analysis tools pacakge.\n",
    "\n",
    "The `WHERE` statements for this query require object to:\n",
    " - be within a 2 degree radius around the center coordinates;\n",
    " - have a `detect_isPrimary` flag that is `True` (`1`), which is always recommended as a way to avoid duplicates and unblended objects;\n",
    " - have a flux $> 360$ nJy (i.e., be bright);\n",
    " - have an extendedness parameter $= 0$ (stars only, no extended objects);\n",
    " - have a `{band}_calib_psf_used` flag that is `True` (`1`), such that only stars with well-measured PSF properties are returned;\n",
    " - and have a `{band}_pixelFlags_inexact_psfCenter` flag that is `False` (`0`) to avoid stars near the image edge.\n",
    " \n",
    "The choice to requre that `i_pixelFlags_inexact_psfCenter = 0` is influenced by the fact that the `EDGE` \n",
    "flag in a `calexp` corresponds to the `SENSOR_EDGE` flag in the `coadd`. \n",
    "Objects near these edges have a discontinuous PSF. \n",
    "Additionally, the `inexact_psfCenter` results from an `OR` operation that includes `SENSOR_EDGE`. \n",
    "The other properties retrieved through the query will play a role in calculating the `rho` statistics, \n",
    "which will be the subject of Section 5 in this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "602d9d74-e0df-4a6e-b1a8-e150998eb392",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:35.515690Z",
     "iopub.status.busy": "2024-04-29T14:23:35.515138Z",
     "iopub.status.idle": "2024-04-29T14:23:50.025610Z",
     "shell.execute_reply": "2024-04-29T14:23:50.024892Z",
     "shell.execute_reply.started": "2024-04-29T14:23:35.515646Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "objects = service.search(\"SELECT coord_ra, coord_dec, \"\n",
    "                         f\"{band}_psfFlux, \"\n",
    "                         f\"{band}_psfFluxErr, \"\n",
    "                         f\"{band}_psfFlux_flag, \"\n",
    "                         f\"{band}_pixelFlags_saturatedCenter, \"\n",
    "                         f\"{band}_extendedness, \"\n",
    "                         f\"{band}_extendedness_flag, \"\n",
    "                         f\"{band}_ixy, {band}_ixyPSF, \"\n",
    "                         \"u_ixx, u_iyy, u_ixxPSF, u_iyyPSF, \"\n",
    "                         \"g_ixx, g_iyy, g_ixxPSF, g_iyyPSF, \"\n",
    "                         \"r_ixx, r_iyy, r_ixxPSF, r_iyyPSF, \"\n",
    "                         \"i_ixx, i_iyy, i_ixxPSF, i_iyyPSF, \"\n",
    "                         \"xy_flag, sky_object, \"\n",
    "                         \"detect_isPatchInner, \"\n",
    "                         \"detect_isDeblendedSource \"\n",
    "                         \"FROM dp02_dc2_catalogs_frdf.Object \"\n",
    "                         \"WHERE CONTAINS(POINT('ICRS', coord_ra, coord_dec), \"\n",
    "                         \"CIRCLE('ICRS', \"+use_center_coords+\", 2.0)) = 1 \"\n",
    "                         \"AND detect_isPrimary = 1 \"\n",
    "                         f\"AND {band}_calibFlux > 360 \"\n",
    "                         f\"AND {band}_extendedness = 0.0 \"\n",
    "                         f\"AND {band}_calib_psf_used = 1 \"\n",
    "                         f\"AND {band}_pixelFlags_inexact_psfCenter = 0 \").to_table().to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76f78f93-5857-48ab-b3de-30b5f1d08066",
   "metadata": {},
   "source": [
    "**Option:** View the table. This query returns 8426 rows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2fe9bf20-49e4-49d0-bc7b-92cc06aded58",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:50.026813Z",
     "iopub.status.busy": "2024-04-29T14:23:50.026519Z",
     "iopub.status.idle": "2024-04-29T14:23:50.029796Z",
     "shell.execute_reply": "2024-04-29T14:23:50.029173Z",
     "shell.execute_reply.started": "2024-04-29T14:23:50.026791Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# objects"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "801681d1-de2b-4946-9aea-7623178dbafb",
   "metadata": {},
   "source": [
    "Calculate the trace radius (PSF size, $r_t$) for the *u*, *g*, *r*, and *i*-band \n",
    "from the second moments of the PSF shape as $r_t = \\sqrt{\\frac{I_{xx} + I_{yy}}{2}}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c895d01b-17f2-454d-9249-b327f95cd122",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:23:50.031879Z",
     "iopub.status.busy": "2024-04-29T14:23:50.031575Z",
     "iopub.status.idle": "2024-04-29T14:23:50.742459Z",
     "shell.execute_reply": "2024-04-29T14:23:50.741190Z",
     "shell.execute_reply.started": "2024-04-29T14:23:50.031859Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "for band in ['u', 'g', 'r', 'i']:\n",
    "    objects['size_'+band+'_PSF'] = np.sqrt((objects[band + '_ixxPSF']\n",
    "                                            + objects[band + '_iyyPSF']) / 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a75a4896-b20f-4e77-81dd-f478006ff3e3",
   "metadata": {},
   "source": [
    "The PSF sizes in different filters will be used below to explore the wavelength dependence of seeing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60d3b3d1-5b9f-45a5-9206-c7c3023c91dd",
   "metadata": {},
   "source": [
    "### 2.2. PSF properties for `Sources`\n",
    "\n",
    "**Option:** To retrieve the column names and descriptions for the `Source` table and search for the term \"psf\",\n",
    "uncomment the lines in the following cell and execute the cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2dc04273-4311-4046-b4fc-d4ec608af297",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:24:36.814449Z",
     "iopub.status.busy": "2024-04-29T14:24:36.813757Z",
     "iopub.status.idle": "2024-04-29T14:24:36.819611Z",
     "shell.execute_reply": "2024-04-29T14:24:36.818527Z",
     "shell.execute_reply.started": "2024-04-29T14:24:36.814403Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# results = service.search(\"SELECT column_name, description \"\n",
    "#                          \"from TAP_SCHEMA.columns \"\n",
    "#                          \"WHERE table_name = 'dp02_dc2_catalogs_frdf.Source'\"\n",
    "#                          ).to_table().to_pandas()\n",
    "# for cname, descr in zip(results['column_name'], results['description']):\n",
    "#     if (cname.find('psf') > -1) | (cname.find('PSF') > -1):\n",
    "#         print(cname + ' --- ' + descr)\n",
    "# del results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55724e21-ce31-4430-bd44-e9fae424f80a",
   "metadata": {},
   "source": [
    "The `Source` catalog contains mostly the same PSF-related columns as the `Object` table.\n",
    "\n",
    "However, since `Sources` are measured only in one `calexp` (single visit) image, columns for each of the\n",
    "six filters are not needed.\n",
    "The `Sources` catalog has a column named `band` that stores the filter of the `calexp`, which is the filter\n",
    "in which all the PSF-related measurements for the `Source` have been made."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fd58914-51b9-464a-a06c-31abb7a27ae7",
   "metadata": {},
   "source": [
    "#### 2.2.1. Retrieve a sample of `Sources`\n",
    "\n",
    "The following query retrieves PSF-related columns for `Sources` detected in visit number 192350,\n",
    "which is the same visit used in the introductory PSF notebook and which is already known to be in the *i*-band\n",
    "and to overlap the sky coordinates used for the `Object` query.\n",
    "\n",
    "Similar `WHERE` constraints are used as above, but since the `Source` table does not have an \n",
    "equivalent to `{band}_pixelFlags_inexact_psfCenter` in the `Object` table,\n",
    "the constraint that the `pixelFlags_suspectCenter` flag is `False` (`0`) is used to exclude sources near\n",
    "\n",
    "The `Source` table is much larger than the `Object` table and so this query can take a few minutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9227633d-5e0b-4169-bedf-0235c54b77de",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:24:38.574181Z",
     "iopub.status.busy": "2024-04-29T14:24:38.573770Z",
     "iopub.status.idle": "2024-04-29T14:25:13.889079Z",
     "shell.execute_reply": "2024-04-29T14:25:13.888399Z",
     "shell.execute_reply.started": "2024-04-29T14:24:38.574158Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "sources = service.search(\"SELECT coord_ra, coord_dec, \"\n",
    "                         \"ixx, iyy, ixy, ixxPSF, iyyPSF, ixyPSF \"\n",
    "                         \"FROM dp02_dc2_catalogs_frdf.Source \"\n",
    "                         \"WHERE CONTAINS(POINT('ICRS', coord_ra, coord_dec), \"\n",
    "                         \"CIRCLE('ICRS', \"+use_center_coords+\", 2.0)) = 1 \"\n",
    "                         \"AND detect_isPrimary = 1 \"\n",
    "                         \"AND calibFlux > 360 \"\n",
    "                         \"AND extendedness = 0.0 \"\n",
    "                         \"AND calib_psf_used = 1 \"\n",
    "                         \"AND pixelFlags_suspectCenter = 0 \"\n",
    "                         \"AND visit = 192350\").to_table().to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce5d2987-156b-4ba8-b772-7aa26d6e9fdb",
   "metadata": {},
   "source": [
    "**Option:** View the table. This query returns 8049 rows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ed2e594e-dedc-4c47-bac3-1574156e9fb5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:13.901965Z",
     "iopub.status.busy": "2024-04-29T14:25:13.901790Z",
     "iopub.status.idle": "2024-04-29T14:25:13.905352Z",
     "shell.execute_reply": "2024-04-29T14:25:13.904324Z",
     "shell.execute_reply.started": "2024-04-29T14:25:13.901950Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# sources"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2bf59f9-82ee-47c2-a145-b914d757b1e5",
   "metadata": {},
   "source": [
    "Calculate the trace radius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dfa1dea8-b6e4-4846-8716-61eafdb22c4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:13.908313Z",
     "iopub.status.busy": "2024-04-29T14:25:13.907650Z",
     "iopub.status.idle": "2024-04-29T14:25:14.373371Z",
     "shell.execute_reply": "2024-04-29T14:25:14.372169Z",
     "shell.execute_reply.started": "2024-04-29T14:25:13.908276Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "sources['size_PSF'] = np.sqrt((sources['ixxPSF'] + sources['iyyPSF']) / 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf7aa3d2-560e-48f5-855f-3be97a65c012",
   "metadata": {},
   "source": [
    "## 3. Visualize the PSF size and its correlation function with `treecorr`\n",
    "\n",
    "The two-point correlation functions hold significant importance in weak lensing cosmological analysis, \n",
    "as they allow for the inference of crucial cosmological parameters. \n",
    "\n",
    "Notably, `treecorr` serves as the standard tool employed by various collaborations, including the \n",
    "Dark Energy Survey and the Hyper-Suprime Camera Survey. \n",
    "It's also a prominent choice utilized by the LSST Science Pipelines code.\n",
    "\n",
    "In a broader sense, the two-point correlation function serves as a statistical metric that aids in comprehending the distribution and potential correlations of random variables within space or time.\n",
    "In cosmology, this function was introduced as a means to quantify the excess probability of locating two galaxies at a specific distance apart, as opposed to an expected uniform distribution ([Pebbles 1980](https://ui.adsabs.harvard.edu/abs/1980lssu.book.....P/abstract)). \n",
    "In modern galaxy surveys such as the Dark Energy Survey (DES), this tool is applied for cross-correlating key quantities like galaxy number counts and weak lensing shear in a \"3x2\" point analysis. \n",
    "This analysis methodology is employed to deduce constraints on cosmological parameters, and it's an approach that will also be adopted by the Legacy Survey of Space and Time (LSST) (refer to [DES Collaboration 2022](https://ui.adsabs.harvard.edu/abs/2022PhRvD.105b3520A/abstract)).\n",
    "\n",
    "Below, the `treecorr` software ([Jarvis et al. 2015](https://ui.adsabs.harvard.edu/abs/2015ascl.soft08007J/abstract)) \n",
    "is used to compute the two-point correlation function of the PSF model size as a function of angular separation.\n",
    "For more information about `treecorr`, check its [documentation](https://rmjarvis.github.io/TreeCorr/_build/html/index.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e280ddb-afe6-4336-bdbc-eb8e9206720c",
   "metadata": {},
   "source": [
    "### 3.1. For `Objects`\n",
    "\n",
    "Temporarily store the `object` right ascention and declination coordinates in the `obj_ra `and `obj_dec` variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5219e352-7f96-41c3-ab29-78835a8544cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:14.375575Z",
     "iopub.status.busy": "2024-04-29T14:25:14.375001Z",
     "iopub.status.idle": "2024-04-29T14:25:14.746265Z",
     "shell.execute_reply": "2024-04-29T14:25:14.744999Z",
     "shell.execute_reply.started": "2024-04-29T14:25:14.375532Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "obj_ra = objects['coord_ra']\n",
    "obj_dec = objects['coord_dec']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4de61d34-d0ed-44aa-a380-98a90f19ec65",
   "metadata": {},
   "source": [
    "Define `treecorr`'s catalog and adjust a few of its parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e0321df4-9cbd-4d54-9830-28bf0fb1a7ab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:14.748339Z",
     "iopub.status.busy": "2024-04-29T14:25:14.747871Z",
     "iopub.status.idle": "2024-04-29T14:25:14.954247Z",
     "shell.execute_reply": "2024-04-29T14:25:14.952240Z",
     "shell.execute_reply.started": "2024-04-29T14:25:14.748296Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "cat = treecorr.Catalog(ra=obj_ra, dec=obj_dec,\n",
    "                       k=objects[f'size_{band}_PSF']\n",
    "                       - np.mean(objects[f'size_{band}_PSF']),\n",
    "                       ra_units='deg', dec_units='deg')\n",
    "\n",
    "kk_config = {'max_sep': .06, 'min_sep': .0001, 'nbins': 12}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a18542a2-c4b1-4042-9b4d-750d78881c99",
   "metadata": {},
   "source": [
    "Calculate the two-point correlation function of the size. In this case, this is an auto-correlation (size-size two point correlation)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d0ed6dee-6240-4875-a444-89f3eb8a7b90",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:14.958029Z",
     "iopub.status.busy": "2024-04-29T14:25:14.956884Z",
     "iopub.status.idle": "2024-04-29T14:25:15.557088Z",
     "shell.execute_reply": "2024-04-29T14:25:15.555690Z",
     "shell.execute_reply.started": "2024-04-29T14:25:14.957983Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "kk = treecorr.KKCorrelation(kk_config)\n",
    "kk.process(cat)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b099ebcb-9640-4f59-931e-3f9ed5a76fae",
   "metadata": {},
   "source": [
    "Retrieve the correlation function, denoted by `xi`, and the angular separation arrays:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5f12e1e1-b2b1-4893-8308-655b9695943e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:15.559524Z",
     "iopub.status.busy": "2024-04-29T14:25:15.558895Z",
     "iopub.status.idle": "2024-04-29T14:25:15.798168Z",
     "shell.execute_reply": "2024-04-29T14:25:15.796995Z",
     "shell.execute_reply.started": "2024-04-29T14:25:15.559477Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "xi = kk.xi\n",
    "bins = kk.rnom"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13ad3d23-1a9a-47bd-aaea-003c5ad1de0d",
   "metadata": {},
   "source": [
    "Plot the PSF size as a function of sky coordinates, and the correlation function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e58bd5ff-0213-4465-a22b-06241c254d37",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:15.800424Z",
     "iopub.status.busy": "2024-04-29T14:25:15.799803Z",
     "iopub.status.idle": "2024-04-29T14:25:17.075497Z",
     "shell.execute_reply": "2024-04-29T14:25:17.073999Z",
     "shell.execute_reply.started": "2024-04-29T14:25:15.800382Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 4.5),\n",
    "                             gridspec_kw={'wspace': .3})\n",
    "\n",
    "ax1.set_title(f'PSF size. Band : {band}')\n",
    "scatter_plot = ax1.scatter(obj_ra, obj_dec, c=objects[f'size_{band}_PSF'],\n",
    "                           s=1, cmap='cividis')\n",
    "ax1.set_xlabel('RA [deg]')\n",
    "ax1.set_ylabel('DEC [deg]')\n",
    "plt.colorbar(scatter_plot, ax=ax1, label='PSF size [pixels]')\n",
    "\n",
    "ax2.set_title(f'PSF size correlation. Band : {band}')\n",
    "ax2.plot(np.degrees(bins), xi*1e4, 'o-', color='darkblue')\n",
    "ax2.axhline(0, linestyle='--', color='lightgrey')\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_ylabel(r'$\\xi \\times 10^{4}$', labelpad=10)\n",
    "ax2.set_xlabel(r'$\\theta$ [degree]')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8e07914-4f7a-48f5-8aa4-78be1833dc4b",
   "metadata": {},
   "source": [
    "> **Figure 1:** *The figure above consists of two panels. The left panel illustrates the PSF size within the investigated circle and band, as a function of declination (ranging from approximately negative 36 to negative 32 degrees) and right ascension (ranging from around 51 to 55 degrees). The PSF size or trace radius is depicted using a color scale, with values ranging from about 1.68 to 1.78 pixels. The right panel of the figure showcases the two-point autocorrelation function of the PSF size, plotted against angular separations in degrees. The correlation function values are expressed as multiples of 1e4, spanning from negative 1 to 4. Angular separations are marked on the abscissa axis, ranging from 0.01 to 2 degrees, and are represented on a logarithmic scale.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02b22d24-1ff7-4688-8938-d38092af4a96",
   "metadata": {},
   "source": [
    "### 3.2. For `Sources`\n",
    "\n",
    "Temporarily store the `sources` right ascention and declination coordinates in the `src_ra `and `src_dec` variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "db013cb9-af0f-44b7-b5d8-cdbe55b189dc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:17.082141Z",
     "iopub.status.busy": "2024-04-29T14:25:17.081522Z",
     "iopub.status.idle": "2024-04-29T14:25:17.087815Z",
     "shell.execute_reply": "2024-04-29T14:25:17.086979Z",
     "shell.execute_reply.started": "2024-04-29T14:25:17.082096Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "src_ra = sources['coord_ra']\n",
    "src_dec = sources['coord_dec']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "189b93a3-aacd-47cc-996f-28ead69d47d1",
   "metadata": {},
   "source": [
    "Define `treecorr`'s catalog and adjust a few of its parameters, calculate the two-point correlation function of the size, and retrieve it, along with the angular seprations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c85aeb14-e189-496d-8aa1-3cc4982983a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:17.089985Z",
     "iopub.status.busy": "2024-04-29T14:25:17.089148Z",
     "iopub.status.idle": "2024-04-29T14:25:17.569585Z",
     "shell.execute_reply": "2024-04-29T14:25:17.568719Z",
     "shell.execute_reply.started": "2024-04-29T14:25:17.089945Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "cat = treecorr.Catalog(ra=src_ra, dec=src_dec,\n",
    "                       k=sources['size_PSF']\n",
    "                       - np.mean(sources['size_PSF']),\n",
    "                       ra_units='deg', dec_units='deg')\n",
    "kk_config = {'max_sep': .06, 'min_sep': .0001, 'nbins': 12}\n",
    "kk = treecorr.KKCorrelation(kk_config)\n",
    "kk.process(cat)\n",
    "xi_source = kk.xi\n",
    "bins_source = kk.rnom"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cdf2448-223e-4f65-85fc-609e0346e85d",
   "metadata": {},
   "source": [
    "Plot the PSF size as a function of sky coordinates, and the correlation function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "cfcdcbc8-f964-43ad-8fa3-bdc86ab1a796",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:17.653570Z",
     "iopub.status.busy": "2024-04-29T14:25:17.652387Z",
     "iopub.status.idle": "2024-04-29T14:25:18.301750Z",
     "shell.execute_reply": "2024-04-29T14:25:18.301068Z",
     "shell.execute_reply.started": "2024-04-29T14:25:17.653513Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 4.5),\n",
    "                             gridspec_kw={'wspace': .3})\n",
    "\n",
    "ax1.set_title('PSF size. Visit : 192350, band : i')\n",
    "scatter_plot = ax1.scatter(src_ra, src_dec,\n",
    "                           c=sources['size_PSF'],\n",
    "                           s=1, cmap='cividis')\n",
    "ax1.set_xlabel('RA [deg]')\n",
    "ax1.set_ylabel('DEC [deg]')\n",
    "plt.colorbar(scatter_plot, ax=ax1, label='[pixels]')\n",
    "\n",
    "ax2.set_title('PSF size correlation. Visit : 192350, band : i')\n",
    "ax2.plot(np.degrees(bins_source), xi_source*1e4, 'o-', color='darkblue')\n",
    "ax2.axhline(0, linestyle='--', color='lightgrey')\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_ylabel(r'$\\xi \\times 10^{4}$', labelpad=-12)\n",
    "ax2.set_xlabel(r'$\\theta$ [degree]')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dce500ff-0dee-46fd-962f-f6e2f399b399",
   "metadata": {},
   "source": [
    "> **Figure 2:** *The figure above consists of two panels. The left panel illustrates the PSF size for sources detected in a single visit as a function of sky coordinate, and which are within two degrees of the specified central coordinates. These coordinates are clearly near the edge of the field of view, as the outline of the CCD array edge is seen. The PSF size or trace radius is depicted using a color scale, with values ranging from about 1.59 to 1.63 pixels. The right panel of the figure showcases the two-point autocorrelation function of the PSF size, plotted against angular separations in degrees. The correlation function values are expressed as multiples of 1e4, spanning from negative 0.2 to 0.6. Angular separations are marked on the abscissa axis, ranging from 0.01 to 2 degrees, and are represented on a logarithmic scale.*\n",
    "\n",
    "\n",
    "### 3.3. Discussion \n",
    "\n",
    "By comparing Figure 1 and Figure 2, it is clear that the PSF size exhibits variations in both the `deepCoadds` (`Objects`) and in individual `calexps` (`Sources`). For the latter, the gradient observed is dominated by Kolmogorov turbulence, demonstrating the turbulent seeing variation across the focal plane. These variations are averaged down in the case of the `deepCoadds`, and therefore the correlation function decreases faster with distance. Both are in the `i` band in this case, and as a consequence, there are no chromatic variations in size coming from effects such as Differential Chromatic Refraction (DCR) or the seeing dependence with wavelength, which will be explored in the next section."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c700951-55c1-4875-ac01-78e10f115488",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 4. The wavelength dependence of seeing  \n",
    "\n",
    "To correct for the effects of the Point Spread Function (PSF) and to deduce the weak lensing signal (referred to as \"shear\") from galaxy shapes, the PSF is typically modeled using stars, often bright ones. Subsequently, the PSF of galaxy images is deconvolved by utilizing the estimated PSF convolution kernel. Implicit in this methodology is the assumption that the convolution kernel for galaxies remains the same as that for stars. However, this assumption becomes invalid if the PSF varies with wavelength due to the distinctive Spectral Energy Distributions (SEDs) of stars and galaxies, resulting in disparate PSFs.\n",
    "\n",
    "In this section, use the point source sample derived from the `Object` catalog, which was obtained in the preceding sections. Aftwerward, compute one of the wavelength-dependent components contributing to the PSF owing to atmospheric effects: the wavelength dependence on seeing. As per the standard theory of atmospheric turbulence, the linear dimension `θ` of the atmospheric convolution kernel (i.e., seeing) is inversely proportional to the wavelength, expressed as $\\theta \\propto \\lambda^{-\\frac{1}{5}}$.\n",
    "\n",
    "Additional wavelength-dependent contributions to the PSF encompass Differential Chromatic Refraction (DCR), telescope diffraction, variations in the absorption length of camera CCDs, and optical chromatic aberrations. In general, each of these factors exhibits distinct functional wavelength dependencies and may exert dominance in different spectral bands. Nevertheless, the wavelength-dependent seeing that we explore in this section tends to be the primary contributor to the PSF. These chromatic PSF effects introduce biases in observables such as photometry, astrometry, measurements of galaxy shape and size, and higher-order moments of the PSF. Addressing these effects is imperative for precise cosmological analysis employing weak gravitational lensing. For more detailed information, refer to the works of [Plazas and Bernstein 2012](https://ui.adsabs.harvard.edu/abs/2012PASP..124.1113P/abstract), [Lee et al. 2023](https://ui.adsabs.harvard.edu/abs/2023AJ....165..222L/abstract), [Meyers and Burchat 2015](https://ui.adsabs.harvard.edu/abs/2015ApJ...807..182M/abstract), [Tianqing et al. 2023](https://ui.adsabs.harvard.edu/abs/2023MNRAS.520.2328Z/abstract), and [Meyers and Burchat 2015b](https://ui.adsabs.harvard.edu/abs/2015JInst..10C6004M/abstract)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "665398c4-00a4-44f6-abd3-e3122e71937d",
   "metadata": {},
   "source": [
    "To replicate this wavelength relationship using the date retreived above, compute first the central wavelengths of the broadband filters employed by LSST, alongside determining the mean size and its standard deviation for each respective band. The boundaries of the filters are available in Table 2.1 of the [LSST Science Book](https://ui.adsabs.harvard.edu/abs/2009arXiv0912.0201L/abstract)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7371d2cc-a861-43e3-89a1-2d986ba34f3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:18.302797Z",
     "iopub.status.busy": "2024-04-29T14:25:18.302595Z",
     "iopub.status.idle": "2024-04-29T14:25:18.309337Z",
     "shell.execute_reply": "2024-04-29T14:25:18.308666Z",
     "shell.execute_reply.started": "2024-04-29T14:25:18.302779Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "wavelength = 0.5*np.array([320+400, 400+552, 552+691, 691+818])\n",
    "\n",
    "mean_size = [np.mean(objects['size_u_PSF']),\n",
    "             np.mean(objects['size_g_PSF']),\n",
    "             np.mean(objects['size_r_PSF']),\n",
    "             np.mean(objects['size_i_PSF'])]\n",
    "\n",
    "std_size = [np.std(objects['size_u_PSF']),\n",
    "            np.std(objects['size_g_PSF']),\n",
    "            np.std(objects['size_r_PSF']),\n",
    "            np.std(objects['size_i_PSF'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f1dc1a3-11f5-4eb0-993e-b27e878c3b06",
   "metadata": {},
   "source": [
    "Fit now a power-law to the mean PSF size in relation to wavelength by employing [`scipy.optimize.curvefit`](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.curve_fit.html). \n",
    "\n",
    "This function takes the functional form to be fitted as its first argument, followed by two arrays containing the data. The output is a tuple consisting of the optimized parameters that minimize the squared residuals of the function with respect to the measured data, labeled as `popt`. Additionally, it provides the estimated 2D covariance matrix of the fitted parameters, denoted as `pcov`, wherein the diagonal elements offer an estimation of their respective one-standard-deviation errors (for more comprehensive information, refer to [the documentation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.curve_fit.html))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ce4e6234-d4da-48e0-874a-b0c64f793bce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:18.310442Z",
     "iopub.status.busy": "2024-04-29T14:25:18.310254Z",
     "iopub.status.idle": "2024-04-29T14:25:18.830636Z",
     "shell.execute_reply": "2024-04-29T14:25:18.829235Z",
     "shell.execute_reply.started": "2024-04-29T14:25:18.310425Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "popt, pcov = curve_fit(powerLaw, wavelength, mean_size)\n",
    "perr = np.sqrt(np.diag(pcov))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9afcec9-316a-4299-82f0-248ace3b9df4",
   "metadata": {},
   "source": [
    "Use the fitted parameters to define fitted values, and print the parameters of the fit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "450779bf-77bf-42c5-9805-297985790b4f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:18.833554Z",
     "iopub.status.busy": "2024-04-29T14:25:18.832833Z",
     "iopub.status.idle": "2024-04-29T14:25:18.850176Z",
     "shell.execute_reply": "2024-04-29T14:25:18.849010Z",
     "shell.execute_reply.started": "2024-04-29T14:25:18.833490Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amplitude: 5.41 +/- 0.342\n",
      "Exponent: 0.169 +/- 0.0101\n"
     ]
    }
   ],
   "source": [
    "lamb_grid = np.arange(300, 800, 1)\n",
    "fit_size = powerLaw(lamb_grid, *popt)\n",
    "amplitude, exponent = popt\n",
    "amplitude_error, exponent_error = perr\n",
    "print(f\"Amplitude: {amplitude:.3} +/- {amplitude_error:.3}\")\n",
    "print(f\"Exponent: {exponent:.3} +/- {exponent_error:.3}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4b9ee6-ee39-4ff3-8ae7-f8675fc129cb",
   "metadata": {},
   "source": [
    "The fitted exponent, `-0.196 +/- 0.0235` is within one-sigma of the expected value of `-1/5=-0.2`. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5841e9fa-406c-4b17-bce9-1f9d2d9025f3",
   "metadata": {},
   "source": [
    "Plot the mean PSF size per band as a function of wavelength."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2bb842f4-1a74-4d21-bb83-06236a0ee812",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:18.852726Z",
     "iopub.status.busy": "2024-04-29T14:25:18.851802Z",
     "iopub.status.idle": "2024-04-29T14:25:19.538099Z",
     "shell.execute_reply": "2024-04-29T14:25:19.536575Z",
     "shell.execute_reply.started": "2024-04-29T14:25:18.852665Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 4))\n",
    "plt.errorbar(wavelength, mean_size, std_size/np.sqrt(len(objects)),\n",
    "             fmt='o--', label='data')\n",
    "plt.plot(lamb_grid, fit_size,\n",
    "         label=r'$\\theta = %.3f \\lambda^{-%.3f}$' % (amplitude, exponent))\n",
    "plt.title(\"Seeing dependence on wavelength.\")\n",
    "plt.xlabel(r'$\\lambda$ (nm)')\n",
    "plt.ylabel(r'$\\sqrt{(Ixx+Iyy)/2}$ (pixel)')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea79d584-117b-4ae6-ae3f-0526053512d0",
   "metadata": {},
   "source": [
    "> **Figure 3**: *The plot above depicts the mean PSF size (expressed as the trace radius in pixels) in relation to the central wavelength for the previously specified LSST filters. Additionally, a power-law fit is presented on the same plot, with the associated amplitude and fitting parameters indicated within the legend.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2906b27f-96fc-4b78-bbee-9f413856960e",
   "metadata": {},
   "source": [
    "Superimpose the size hisograms per band and the plot in Figure 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c6da64b0-7505-43d6-adcb-12ff8d1a393b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:19.540900Z",
     "iopub.status.busy": "2024-04-29T14:25:19.539873Z",
     "iopub.status.idle": "2024-04-29T14:25:20.862754Z",
     "shell.execute_reply": "2024-04-29T14:25:20.861938Z",
     "shell.execute_reply.started": "2024-04-29T14:25:19.540841Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "color = 'tab:red'\n",
    "ax1.set_xlabel(r'$\\lambda$ (nm)')\n",
    "ax1.set_ylabel(r'$\\sqrt{(Ixx+Iyy)/2}$ (pixel)')\n",
    "ax1.errorbar(wavelength, mean_size, std_size/np.sqrt(len(objects)),\n",
    "             fmt='o--', label='data')\n",
    "ax1.plot(lamb_grid, fit_size,\n",
    "         label=r'$\\theta = %.3f \\lambda^{-%.3f}$' % (amplitude, exponent))\n",
    "ax1.legend(loc='lower right')\n",
    "ax1.tick_params(axis='y')\n",
    "\n",
    "ax2 = ax1.twiny()\n",
    "\n",
    "plot_filter_colors = {'u': '#56b4e9', 'g': '#008060', 'r': '#ff4000',\n",
    "                      'i': '#850000', 'z': '#6600cc', 'y': '#000000'}\n",
    "\n",
    "ax2.set_xlabel('counts')\n",
    "plt.hist(objects['size_u_PSF'], bins=100, range=[1.6, 2.2],\n",
    "         color=plot_filter_colors['u'], alpha=0.3, label='u',\n",
    "         orientation=\"horizontal\")\n",
    "plt.hist(objects['size_g_PSF'], bins=100, range=[1.6, 2.2],\n",
    "         color=plot_filter_colors['g'], alpha=0.3, label='g',\n",
    "         orientation=\"horizontal\")\n",
    "plt.hist(objects['size_r_PSF'], bins=100, range=[1.6, 2.2],\n",
    "         color=plot_filter_colors['r'], alpha=0.3, label='r',\n",
    "         orientation=\"horizontal\")\n",
    "plt.hist(objects['size_i_PSF'], bins=100, range=[1.6, 2.2],\n",
    "         color=plot_filter_colors['i'], alpha=0.3, label='i',\n",
    "         orientation=\"horizontal\")\n",
    "plt.legend()\n",
    "ax2.tick_params(axis='y')\n",
    "\n",
    "fig.suptitle(\"PSF size histogram per band superimposed with \"\n",
    "             \"mean PSF size as a funtion of wavelength\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0aa29a7-6ddd-497c-b70f-5b147f836ec6",
   "metadata": {},
   "source": [
    "> **Figure 4**: *The figure above superimposes the size distributions per band onto the previously generated plot in Figure 3. The figure includes histograms of the size distributions corresponding to each band (`u`, `g`, `r`, and `i`), rotated 270 degrees to align their bases with the left vertical axis. The upper horizontal axis displays the histogram counts, spanning from 0 to approximately 1200 counts. Notably, this plot serves a dual role, as it incorporates both the data for the PSF size as a function of wavelength and the power-law fit from the preceding plot.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5fecd7f-018f-48df-ba9d-45e96a4b4801",
   "metadata": {},
   "source": [
    "## 5. Rho statistics with the `analysis.tools` package\n",
    "\n",
    "Utilize [`lsst.analysis.tools`](https://github.com/lsst/analysis_tools) to compute the `rho` statistics, which are a collection of two-point correlation functions used to assess the spatial relationships between errors in PSF models. The presence of non-zero values in these statistics signifies the existence of systematic errors in the weak lensing shear correlation function. To understand their definitions, refer to [the analysis tools documentation](https://pipelines.lsst.io/v/daily/py-api/lsst.analysis.tools.actions.vector.CalcRhoStatistics.html#lsst.analysis.tools.actions.vector.CalcRhoStatistics). \n",
    "\n",
    "`lsst.analysis.tools` is a package designed to generate quality assurance (QA) plots and metrics from the outputs of the LSST Science Pipelines. It employs `treecorr` to compute the `rho` statistics. For an introductory demonstration of `analysis_tools`, you can refer to [this Jupyter Notebook created for a session during Rubin's 2022 Project and Community Workshop](https://github.com/lsst-dm/analysis_tools_examples/blob/main/analysis_tools_demo_pcw2022.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d639a047-d86b-4540-b897-54564189bf3f",
   "metadata": {},
   "source": [
    "Create the `RhoStatistics` analysis structure using the `AnalysisTool`. As outlined in the [2022 Rubin PCW `analysis_tools` demo notebook](https://github.com/lsst-dm/analysis_tools_examples/blob/main/analysis_tools_demo_pcw2022.ipynb), the `AnalysisTool` is one of the three analysis structures provided by `analysis_tools`. It encompasses several `AnalysisAction` components, which collectively conduct specific types of analyses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5fa13319-c6b5-4c42-a6f4-21eacfb7ad23",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:20.865180Z",
     "iopub.status.busy": "2024-04-29T14:25:20.864638Z",
     "iopub.status.idle": "2024-04-29T14:25:20.907506Z",
     "shell.execute_reply": "2024-04-29T14:25:20.906665Z",
     "shell.execute_reply.started": "2024-04-29T14:25:20.865136Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "atool = RhoStatistics()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62fd3266-2af3-4712-89f8-17795abf216d",
   "metadata": {},
   "source": [
    "There are three types of `AnalysisAction`s or stages: \n",
    "\n",
    "- `prep` (for initial filtering of data), \n",
    "- `process` (for modyfing the data), and \n",
    "- `produce` (for generating final plots of metrics). \n",
    "\n",
    "Abjust a few configuration parameters from the `prep` and `process` stages."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb6ad2b6-b872-45ff-9bba-1c06ed30d59f",
   "metadata": {},
   "source": [
    "Select stars with with signal-to-noise ratio (SNR) > 20."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "40b60d5c-0529-4e76-bf0e-4be4b81ac22a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:20.908998Z",
     "iopub.status.busy": "2024-04-29T14:25:20.908640Z",
     "iopub.status.idle": "2024-04-29T14:25:21.276866Z",
     "shell.execute_reply": "2024-04-29T14:25:21.275786Z",
     "shell.execute_reply.started": "2024-04-29T14:25:20.908967Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "atool.prep.selectors.snSelector.threshold = 20.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a295e266-f0a9-4c7b-ab3a-23b144e8cfc0",
   "metadata": {},
   "source": [
    "As in a previous section, we can adjust the `treecorr` parameters before calculations, but this time it will be done via `lsst.analysis.tools`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b47bb00f-b4e5-4525-a259-1b1831440f30",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:21.278865Z",
     "iopub.status.busy": "2024-04-29T14:25:21.278303Z",
     "iopub.status.idle": "2024-04-29T14:25:21.649146Z",
     "shell.execute_reply": "2024-04-29T14:25:21.647708Z",
     "shell.execute_reply.started": "2024-04-29T14:25:21.278809Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "atool.process.calculateActions.rho.treecorr.nbins = 21\n",
    "atool.process.calculateActions.rho.treecorr.min_sep = 0.1\n",
    "atool.process.calculateActions.rho.treecorr.max_sep = 100.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36b4b77d-4ed0-4354-8057-6ec0867df185",
   "metadata": {},
   "source": [
    "Call `atool.finalize()` after the `atool.prep` and `atool.process` stages are configured."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "00ff3bbe-bfde-4756-b149-1e63c3c0e247",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:21.746975Z",
     "iopub.status.busy": "2024-04-29T14:25:21.746657Z",
     "iopub.status.idle": "2024-04-29T14:25:22.187541Z",
     "shell.execute_reply": "2024-04-29T14:25:22.186157Z",
     "shell.execute_reply.started": "2024-04-29T14:25:21.746953Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "atool.finalize()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcd8f06d-be02-45c1-ba24-76ddf93de7a0",
   "metadata": {},
   "source": [
    "The TAP query in section 3.1 included fields that not used in that section, but that will be used in this section. \n",
    "\n",
    "In order to know which entries will be needed by `analysys_tools` to calculate the `rho` statistics, look at the input schema of the analysis tool `RhoStatistics`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0ce8b391-dbf1-451f-b6da-e5c25adfacd5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:22.323320Z",
     "iopub.status.busy": "2024-04-29T14:25:22.323074Z",
     "iopub.status.idle": "2024-04-29T14:25:22.581017Z",
     "shell.execute_reply": "2024-04-29T14:25:22.579870Z",
     "shell.execute_reply.started": "2024-04-29T14:25:22.323300Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['coord_ra', 'coord_dec', '{band}_ixx', '{band}_iyy', '{band}_ixy', '{band}_ixxPSF', '{band}_iyyPSF', '{band}_ixyPSF', '{band}_psfFlux_flag', '{band}_pixelFlags_saturatedCenter', '{band}_extendedness_flag', 'xy_flag', 'detect_isPatchInner', 'detect_isDeblendedSource', '{band}_psfFlux', '{band}_psfFluxErr', '{band}_extendedness']\n"
     ]
    }
   ],
   "source": [
    "input_schema = atool.getInputSchema()\n",
    "needed_catalog_fields = [name[0] for name in list(atool.getInputSchema())]\n",
    "print(needed_catalog_fields)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19ea9678-00bd-4b5c-8b5e-3f7394dd0670",
   "metadata": {},
   "source": [
    "Compute the `rho` statistics in the particular band that we have chosen previously (`i`)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d711b878-1e1c-427e-8405-34f56c663e5b",
   "metadata": {},
   "source": [
    "Start with the `prep` stage in the following cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3876cc98-a846-4bb7-9adb-0f1aaff0e9d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:22.678882Z",
     "iopub.status.busy": "2024-04-29T14:25:22.678625Z",
     "iopub.status.idle": "2024-04-29T14:25:22.875511Z",
     "shell.execute_reply": "2024-04-29T14:25:22.874285Z",
     "shell.execute_reply.started": "2024-04-29T14:25:22.678858Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "prepResults = atool.prep(objects, band=f\"{band}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6201731f-83eb-4205-8765-a832f5c57a65",
   "metadata": {},
   "source": [
    "Execute the `process` stage, utilizing the outcomes obtained from the `prep` stage. Ignore the `INFO` lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d92dd649-59f2-40b4-861c-4b94b9b04be0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:23.195298Z",
     "iopub.status.busy": "2024-04-29T14:25:23.194986Z",
     "iopub.status.idle": "2024-04-29T14:25:26.160069Z",
     "shell.execute_reply": "2024-04-29T14:25:26.158771Z",
     "shell.execute_reply.started": "2024-04-29T14:25:23.195277Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho-1</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho-2</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho-3</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho-4</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho-5</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building GField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Calculating rho3alt</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>:    nobj = 8413</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin: 0.1em;\n",
       "padding-left: 0.25em;\n",
       "border-left-style: solid;\n",
       "font-family: var(--jp-code-font-family);\n",
       "font-size: var(--jp-code-font-size);\n",
       "line-height: var(--jp-code-line-height);\n",
       "\"><span style=\"color: var(--jp-warn-color2)\">lsst.analysis.tools.actions.vector.calcRhoStatistics</span> <span style=\"color: var(--jp-info-color0)\">INFO</span>: Building KField</pre>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "processResults = atool.process(prepResults, band=f\"{band}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ebdc877-1f65-4c90-b8d7-29aa052c60b5",
   "metadata": {},
   "source": [
    "Access the results from `treecorr` for each `rho` statistic in order to examine the values or perform any other operation on them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6ca7d5d0-43fe-48e2-a56a-ec844a7a82d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:26.412256Z",
     "iopub.status.busy": "2024-04-29T14:25:26.412041Z",
     "iopub.status.idle": "2024-04-29T14:25:26.418579Z",
     "shell.execute_reply": "2024-04-29T14:25:26.417530Z",
     "shell.execute_reply.started": "2024-04-29T14:25:26.412238Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean angular separation:\n",
      " [ 0.11941132  0.17058701  0.23287889  0.32323918  0.44497738  0.62254215\n",
      "  0.86864805  1.20400898  1.67020787  2.32584702  3.23131859  4.49105588\n",
      "  6.24022725  8.67353778 12.05686149 16.73875266 23.25331868 32.29273159\n",
      " 44.84641098 62.25556487 86.30133468] \n",
      "\n",
      "Correlation function:\n",
      " [ 5.59450702e-07  1.31217885e-07  3.68707798e-07  4.22091848e-07\n",
      "  5.53090179e-07  1.25834472e-07  7.43043736e-08 -1.80865648e-08\n",
      "  1.30610033e-07  4.57145243e-08  5.80382439e-08  1.94315338e-08\n",
      "  4.54457748e-08  6.32535229e-08  3.62393347e-08  4.05144954e-08\n",
      "  4.31536599e-08  4.09903521e-08  3.94861521e-08  3.96258315e-08\n",
      "  3.70525766e-08] \n",
      "\n",
      "Error in the correlation function:\n",
      " [2.42987317e-13 1.37692813e-13 7.24699016e-14 4.06973832e-14\n",
      " 2.12927030e-14 1.19906659e-14 6.04800057e-15 3.14606580e-15\n",
      " 1.67204387e-15 8.74980807e-16 4.55082559e-16 2.42416924e-16\n",
      " 1.27999021e-16 6.79489146e-17 3.62381296e-17 1.96436024e-17\n",
      " 1.08765389e-17 6.17699393e-18 3.59496712e-18 2.15963150e-18\n",
      " 1.37805193e-18]\n"
     ]
    }
   ],
   "source": [
    "print(\"Mean angular separation:\\n\", processResults['rho1'].meanr, \"\\n\")\n",
    "print(\"Correlation function:\\n\", processResults['rho1'].xip, \"\\n\")\n",
    "print(\"Error in the correlation function:\\n\", processResults['rho1'].varxip)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f52f3aae-5c3d-4d28-89a7-088de01b97e4",
   "metadata": {},
   "source": [
    "Plot the `rho` statistics using `analysis_tools` "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29d0cbac-2701-4604-8b07-586dc7e1455a",
   "metadata": {},
   "source": [
    "By default, the rho statistics are plotted on a symmetric log scale.\n",
    "The threshold where the switch happens from linear to log scale can be set as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "400821f2-f4ce-4012-8886-071a5cdd7644",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:31.072220Z",
     "iopub.status.busy": "2024-04-29T14:25:31.071555Z",
     "iopub.status.idle": "2024-04-29T14:25:31.078193Z",
     "shell.execute_reply": "2024-04-29T14:25:31.076931Z",
     "shell.execute_reply.started": "2024-04-29T14:25:31.072171Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "atool.produce.plot.rhoPlots[\"rho3\"].yLinThresh = 1e-8"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed77ff9a-ecbb-46ad-b392-2f56bd0df271",
   "metadata": {},
   "source": [
    "At the moment, `atool.produce` does nto provide a direct handle to the plotting keyword arguments. \n",
    "\n",
    "Overwrite the global plotting parameters in order to make figures with a size suitable for a Jupyter notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cee4fab9-399e-4e24-8245-24597ec5c2de",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:31.820180Z",
     "iopub.status.busy": "2024-04-29T14:25:31.819506Z",
     "iopub.status.idle": "2024-04-29T14:25:31.826201Z",
     "shell.execute_reply": "2024-04-29T14:25:31.825236Z",
     "shell.execute_reply.started": "2024-04-29T14:25:31.820132Z"
    }
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (2, 2)\n",
    "plt.rcParams['lines.markersize'] = 2\n",
    "plt.rcParams['xtick.labelsize']=5\n",
    "plt.rcParams['ytick.labelsize']=5\n",
    "plt.rcParams['font.size']=5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24ea3e87-d27e-4a2f-8717-33a5d961a41b",
   "metadata": {},
   "source": [
    "Use `analysis_tools` to produce the `rho` statistics plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ee19ba4b-a4a0-4da8-b986-e496e978fd5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-29T14:25:32.617142Z",
     "iopub.status.busy": "2024-04-29T14:25:32.616492Z",
     "iopub.status.idle": "2024-04-29T14:25:36.249888Z",
     "shell.execute_reply": "2024-04-29T14:25:36.248995Z",
     "shell.execute_reply.started": "2024-04-29T14:25:32.617093Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApwAAAJjCAYAAAChj8FpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAC4jAAAuIwF4pT92AABRjElEQVR4nO3de1xVVf7/8TeKgPcURcBUSsxGURTCyZRQS7OsvJRaTBMnv12srOyq9TM1ncmpJhtrukw1errp1GjqeMk0L5hjoXhJJbNQQfNKKhoHEdT9+8MHjMQdzjr7AK/n4+GjB2uvvc7nwO7wZu299vaxLMsSAAAAYEgduwsAAABAzUbgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABjla3cBwMUyMzOVmJhY8HWbNm3k7+9vY0UAAFQPZ86c0f79+wu+jouL0yWXXGJfQRchcMKrJCYmasiQIXaXAQBAtbdgwQINHjzY7jIkcUodAAAAhhE4AQAAYBSn1OFV2rRpU+jrBQsWKDw83KZqAACoPlJTUwtdlvbb36l2InDCq/x2gVB4eLg6d+5sUzUAAFRf3rTollPqAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowic0LFjx/Tggw8qNDRU/v7+CgsL0zvvvGN3WQAAoIbwtbsA2CsrK0uxsbFq3bq15syZo3bt2unQoUPKy8uzuzQAAFBDEDg9aNOmTVqxYoU2bNigpKQkHTx4UP7+/srJySl1v5ycHE2bNk1z5szRvn371Lx5cw0cOFBTpkzRpZdeWqWaXnnlFWVnZ2vx4sXy9/eXJIWFhVVpTAAAgIsROD1o6tSpWrhwYYX2ycnJ0XXXXaf169crJCREgwcPVlpammbNmqXFixfrm2++Ufv27Std07x589S7d289/vjjmj9/vpo0aaJBgwZp6tSpatiwYaXHBQAAyEfg9KCePXsqMjJSMTExiomJUXBwcJn7vPjii1q/fr169uyp5cuXq1GjRpKk6dOn68knn9SoUaOUmJhY0P/48eM6fvx4qWM2adJEQUFBkqTdu3crNTVVI0eO1KJFi3Tw4EGNGTNGBw4c0KefflqFdwsAAHCBj2VZlt1F1FY+Pj6lnlLPy8tTUFCQMjMztXnzZnXv3r3Q9sjISG3btk3JycmKjo6WJE2ePFkvvPBCqa+bkJAgp9MpSfL391eLFi2Unp4uX98Lf3/MnTtXw4cP15EjRwqCqaekpKQoIiKi4OsdO3aoc+fOlR4v7ViWLptU/Kzy3hcGKyywUaXHBgDAm7j7d6g7McPpxdatW6fMzEy1b9++SNiUpNtvv13btm3TokWLCgLnxIkTNWHChFLHrVPnfzcnCAkJUVhYWEHYlFRwcKanp3s8cP6WZVmqyt9Epe1b1bEBAPAm3vw7jcDpxb777jtJUlRUVLHb89vz+0kXwuTFgbIssbGxWrNmjc6dO6e6detKknbt2iWp6ouHjh49qoyMjArtk5qaWujr7OxsZWVlVboGV3Z2qduy/Cs9NAAAXiW7lN95diNwerF9+/ZJUokr0fPb8/tVxlNPPaXPPvtMY8aM0dixY3Xw4EE99dRTio+PV8uWLSs9riS99dZbZZ7eBwAANR+B04vlz+w1aNCg2O35q8irMgMYGRmppUuXavz48YqMjFRwcLBuu+02TZkypdJjulNVZzizXadL2eZSVr3zlR4bAABvwgwnKiX/WgwfH59St1fVddddp40bN7plLAAAgN8icHqxxo0bS5JcLlex2/P/ksm/VZK3eeihhzR8+PAK7ZOamqohQ4YUfB0QEFCl+4HWzy0+rEtS/QYN1LBh8bPHAABUJ968YEgicHq1tm3bSpJ+/vnnYrfnt+f38zZBQUFVXuXu4+NT4gxvefc3NTYAACif8i9nhsdFRkZKkjZv3lzs9vz2rl27eqwmAACAiiJwerFevXqpadOm2r17t7Zs2VJk+9y5cyVJN998s6dLAwAAKDcCpxfz8/PTmDFjJEljxowpdC3n9OnTtW3bNvXu3VsxMTF2lQgAAFAmruH0oCVLlmjq1KmF2nJzc3X11VcXfP38889r0KBBBV9PmDBBX331ldavX68OHTooNjZW6enpSkpKUmBgoGbNmuWx+gEAACqDwOlBGRkZSkpKKtRmWVahtt8+mScgIECrV6/WtGnTNHv2bC1YsEDNmjVTQkKCpk6dqjZt2nikdgAAgMoicHqQw+GQw+Go8H7169fXlClTvOZm7AAAABXBNZwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKN4tCVs4XQ65XQ6i7S7XC7PFwMAAIwicMIWaWlpSkxMtLsMAADgAQRO2CIsLExxcXFF2l0ul5KTk22oCAAAmELghC0cDoccDkeR9pSUFEVERHi+IAAAYAyLhgAAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARvnaXQBqJ6fTKafTWaTd5XJ5vhgAAGAUgRO2SEtLU2Jiot1lAAAADyBwwhZhYWGKi4sr0u5yuZScnGxDRQAAwBQCJ2zhcDjkcDiKtKekpCgiIsLzBQEAAGNYNAQAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKN87S4AtZPT6ZTT6SzS7nK5PF8MAAAwisAJW6SlpSkxMdHuMlBB6Sey1eXlr4rdtv2Z69WuWQMPVwQAqA4InLBFWFiY4uLiirS7XC4lJyfbUBEAADCFwAlbOBwOORyOIu0pKSmKiIjwfEEAAMAYFg0BAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIzi0ZaAl0g/ka0uL39V7Lbtz1yvds0aeLgiAADcgxlOAAAAGEXgBAAAgFGcUgdqME7TAwC8ATOcAAAAMIrACQAAAKMInAAAADCKazhhC6fTKafTWaTd5XJ5vhgAAGAUgRO2SEtLU2Jiot1lAAAADyBwwhZhYWGKi4sr0u5yuZScnGxDRQAAwBQCJ2zhcDjkcDiKtKekpCgiIsIjNZzOO+eR1wEAoLZj0RBqtNU/ZZS47YZ31mnp94c9WA0AALUTgRM11tLvD2vsgu9K3H7idJ7iP96gL3YSOt2BGWMAQEkInKiRsnPP6uHPt+q8VXq/85b00LythKVyYsYYAFAZBE7USJ9vO6hjrtxy9T3mytW87w4Yrqj6Y8YYAFBZBE7USMt3HalQ/xU/HjVUSc3AjDEAoCoInKiRTpzOq1D/49nlmw2trZgxBgBUBYETNVKz+vUq1L95Az9DldQMzBgDAKqCwIkaaUDHVhXq3/+KIEOV1AzMGAMAqoLAiRppWNdQBTYs36xli4Z+ui2yteGKqjdmjAEAVUHgRI3UwM9Xbw7rpjo+pfer4yO9eVs31a9X1zOFVVPMGAMAqoLAiRrrpk7BmjE0ssTtzRvU05w/9tCNvwv2YFXVEzPGAICqIHCiRusT3rLEbV8+0JuwWU7MGAMAqoLAiVorgFBUIcwYAwAqy9fuAgBUH2XNGHcMauzBagAA1QUznADcghljAEBJCJwAAAAwisAJAAAAo7iGE7ZwOp1yOp1F2l0ul+eLqaT0E9nq8vJXxW7b/sz1atesgYcrAgDAOxE4YYu0tDQlJibaXQYAAPAAAidsERYWpri4uCLtLpdLycnJNlQEAABMIXDCFg6HQw6Ho0h7SkqKIiIiPF8QAAAwhkVDAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACdRSp/PO2V0CAKCWIHACNdjqnzJK3HbDO+u09PvDHqwGAFBbETiBGmrp94c1dsF3JW4/cTpP8R9v0Bc7CZ0AALMInEANlJ17Vg9/vlXnrdL7nbekh+Zt5fQ6AMAoAidQA32+7aCOuXLL1feYK1fzvjtguCIAQG1G4ARqoOW7jlSo/4ofjxqqBAAAAidQI504nVeh/sezyzcbCgBAZRA4gRqoWf16FerfvIGfoUoAACBwAjXSgI6tKtS//xVBhioBAEDytbsA1E5Op1NOp7NIu8vl8nwxNdCwrqF6ftn35Vo41KKhn26LbF2ucds1a6BT026tankAgFqGwAlbpKWlKTEx0e4yaqwGfr56c1g3xX+8odRbI9Xxkd68rZvq16vrueIAALUOgRO2CAsLU1xcXJF2l8ul5ORkGyrybpW5T+ZNnYI1Y2ikHvm8+Ju/N29QT2/f3l03/i64quUBAFAqAids4XA45HA4irSnpKQoIiLC8wV5gbIeQ/n27d11U6eKhcM+4S1L3PblA73VMahxhcYDAKAyWDQEeAE7HkMZwGl0AICHEDgBm/EYSgBATUfgBGzGYygBADWdVwdOl8ulnTt32l0GYBSPoQQA1HReFzgPHTqkf/zjH7rpppvUokULRURE6LLLLtPYsWO1atUqnTvH6UTULDyGEgBQ03nFKvWUlBQtXLhQCxcu1KZNm3T+/HkFBATo+uuvV3h4uL744gu9/vrreuONN9S0aVMNGjRIgwcP1sCBA9WoUSO7yweqhMdQAgBqOlsD55NPPqmFCxdq7969sixLgYGBuuuuuzR48GDdcMMNatCggSTptdde065du7RgwQItXLhQc+bM0ezZs1WvXj317dtXTz/9tPr162fnWwEqbUDHVlqw41C5+/MYSgBAdWPrKfXXXntNkjR27FitWbNGR44ckdPp1NChQwvCZr6OHTtq3LhxWr9+vQ4ePKh//OMf6t+/vxITE7Vs2TI7ygfcYljXUAU2LN+sZUUeQwkAgLewdYZz27ZtlbrJd1BQkO69917de++9On36tA4fdt+9CQFP4zGUAICaztYZTnc8UaZ+/fq67LLL3FANYJ/8x1CWpHmDeprzxx48hhIAUC15xaIhADyGEgBQc3ndbZGOHz+uZ599VjExMWrfvr2io6P1+uuv210WYCseQwkAqM68aobz4MGDuuaaa7R//35ZlqXGjRsrLS1NkZH/O9W4fv16uVwuXXvttfL397exWgAAAJSHV81wPvfcc9q3b59GjRqlY8eO6eTJk7KswqsocnJyNHDgQM2ePdumKgEAAFARXhU4ly1bpg4dOujdd99Vs2bNiu3Tr18/BQUFafHixR6uDgAAAJXhVYEzMzNT3bp1k4+PT6n9wsPDtW3bNg9VBQAAgKrwqsAZGhqqAwcOlNmvdevWOnr0qAcqAgAAQFV51aKhfv366YMPPtCOHTtKvUdnVlaWcnNzPVgZ3M3pdMrpdBZpd7lcni8GAAAY5VWB8/HHH9eHH36oESNGaNmyZWrbtm2RPqdPn9bGjRvVujWP96vO0tLSlJiYaHcZAADAA7wqcHbu3FmvvfaaHn30UXXr1k2jR48utP306dMaPXq0fvnlF9122202VQl3CAsLU1xcXJF2l8ul5ORkGyoCAACmeFXglKSHH35YoaGhGj16tP7yl79Ikj799FOtXbtW+/fvV15engIDA/Xcc8/ZXCmqwuFwyOFwFGlPSUlxyyNPAQCA9/CqRUP5hg4dqj179uivf/2rYmNjVa9ePe3Zs0e+vr669dZbtW7dOl166aV2lwkAAIBy8LoZznwNGzbUE088oSeeeEKSlJeXp3r16tlcFQAAACrK1sC5bt06ffvtt0pISFDLli0L2l0ul9auXavjx4+rRYsWioyMVHBwsI2VAgAAoLJsDZxTp07Vxo0b9dhjjxW0ffnll7rrrrt0/PjxQn2joqL02GOP6a677vJ0mQAAAKgCW6/h3LJli2JiYgpOlR85ckQjR47UsWPH1KlTJ91xxx268cYbFRgYqE2bNikhIUH9+/fXyZMn7SwbAAAAFWBr4MzMzCx0Kn3mzJk6deqUJkyYoO3bt+uTTz7R4sWLdfjwYa1cuVLdu3fXypUrNXjwYJ0/f97GygEAAFBetgbOJk2aFAqOy5cvV5s2bTRlypRC/erUqaO+ffsqKSlJDodDX3/9dbFPqQEAAID3sTVwhoSEaPfu3ZKk7OxsJSUl6brrriuxf926dfX222+rVatWBE4AAIBqwtbAOXDgQG3atEkzZ87UpEmTlJOTU+apcn9/f8XGxmrbtm0eqhIAAABVYWvgfOSRRxQYGKj77rtP06dPl5+fn5YvX65PP/201P1OnTqlvLw8D1UJAACAqrA1cLZt21br1q3TqFGj1KdPH3322WeaMWOG4uPjNWrUKO3cubPIPqtXr9bKlSvVoUMHGyoGAABARdn+pKEOHTrovffeK9SWkZGhxx57TB988IHCwsIUHR2tJk2aaM+ePfr66691/vx53XfffTZVDMDd0k9kq8vLXxW7bfsz16tdswYerggA4E62B87iPPTQQ4qJidG4ceO0Zs0a7d27t2Cbr6+vnn76aT388MM2VggAAIDy8srAKUkxMTFatWqVjhw5os2bN+vo0aNq3LixevbsqZCQELvLAwAAQDl5beDM16pVK9144412lwFUS+2aNdCpabfaXQYAoJazddEQAAAAaj4CJwAAAIzy+lPqqJmcTmexT4tyuVyeLwYAABhF4IQt0tLSlJiYaHcZAADAAwicsEVYWJji4uKKtLtcLiUnJ9tQEQAAMKXaBc5Ro0apXr16uvvuu9WrVy+7y0ElORwOORyOIu0pKSmKiIjwfEEAAMCYardoyOl06v3339e1116rgQMHasOGDXaXBAAAgFJUuxnOSZMm6fz58/ruu++0du1a9ezZU+fOnbO7LAAAAJSgWgbOfJZlacuWLTZWAwAAgLJUu8B5MR8fH0VFRdldBgBUWvqJbHV5+atit21/5nq1a9bAwxUBgPtVu2s4AQAAUL14XeA8fvy4nn32WcXExKh9+/aKjo7W66+/bndZQIWczuO6YlQdxxGAmsKrAufBgwcVFRWll19+WZs2bdIvv/yirVu3auvWrQV91q9frxUrVujMmTP2FQpIWv1TRonbbnhnnZZ+f9iD1dRcNT10cRwBqA28KnA+99xz2rdvn0aNGqVjx47p5MmTsiyrUJ+cnBwNHDhQs2fPtqlKQFr6/WGNXfBdidtPnM5T/Mcb9MVOwkJ5mAhd6Sey1eTZ/xT7L/1EdlXKdRuOIwC1hVcFzmXLlqlDhw5699131axZs2L79OvXT0FBQVq8eLGHqwMuyM49q4c/36rzVun9zlvSQ/O21vgZuqqqraGL4whAbeJVgTMzM1PdunWTj49Pqf3Cw8O1bds2D1UFFPb5toM65sotV99jrlzN++6A4Yqqr9ocujiOANQmXhU4Q0NDdeBA2R+qrVu31tGjRz1QEVDU8l1HKtR/xY8cqyWpzaGL4whAbeJVgbNfv35KSkrSjh07Su2XlZWl3Nzy/ZIC3O3E6bwK9T+ezbFaktocujiOANQmXhU4H3/8cfn4+GjEiBHat29fsX1Onz6tjRs3qnXr1h6uDrigWf16FerfvIGfoUqqv9ocujiOANQmXhU4O3furNdee027du1St27d9NxzzxXafvr0aY0ePVq//PKLBgwYYFOVqO0GdGxVof79rwgyVEn1V5tDF8cRgNrEqwKnJD388MOaO3eu6tWrp7/85S+SpE8//VTh4eG65JJL9NFHH6l58+ZFwijgKcO6hiqwYfmCT4uGfrotktn4ktTm0MVxBKA28brAKUlDhw7Vnj179Ne//lWxsbGqV6+e9uzZI19fX916661at26dLr30UrvLRC3VwM9Xbw7rpjql30xBdXykN2/rpvr16nqmsGqoNocujiMAtYlXBk5JatiwoZ544gklJiYqMzNTZ86ckcvl0oIFC9SxY0e7y0Mtd1OnYM0YGlni9uYN6mnOH3voxt8Fe7Cq6qe2hy6OIwC1ha/dBZRXvXoVu9YL3s3pdMrpdBZpd7lcni+mkvqEtyxx25cP9FbHoMYerKb6yg9dj3xe/M3fmzeop7dv7+7W0OVN9/PkOAJQG9gaONetW6dvv/1WCQkJatnyfx+6LpdLa9eu1fHjx9WiRQtFRkYqOJi/8GuStLQ0JSYm2l2GMQGVmIlr16yBTk271UA13s9E6CrrcZlv395dN3Xy7s+VyhxHAOCNbA2cU6dO1caNG/XYY48VtH355Ze66667dPz48UJ9o6Ki9Nhjj+muu+7ydJkwICwsTHFxcUXaXS6XkpOTbagI3qoyoau8j8vkdDUqIjv3rD7fdlDLdx3RidN5ala/ngZ0bKVhXUPVwK/anDAEbGHr/yFbtmxRTExMwenyI0eOaOTIkTp16pQ6d+6srl276uTJk9qwYYM2bdqkhIQEffDBB5o7d66aNm1qZ+moIofDIYfDUaQ9JSVFERERni8INUZFH5f5/bj+tl4bWptntquTpd8f1sOfby3yZKwFOw7p+WXf681h3bx+xhywk62LhjIzMwudSp85c6ZOnTqlCRMmaPv27frkk0+0ePFiHT58WCtXrlT37t21cuVKDR48WOfPn7excgDeqjY/LtO07Nyz+jh5n+7+ZKNueX+97v5koz5O3qfs3LN2l2bU0u8PK/7jDSUeV8dcuYr/eIO+2HnYw5UB1YetgbNJkyaFguPy5cvVpk0bTZkypVC/OnXqqG/fvkpKSpLD4dDXX39d7IITAKjNj8s0ybkhXcGTluqheVu1YMchJe7+RQt2HNJD87bqd39ZoaXf18ywVdEZc29akAZ4E1tPqYeEhGj37t2SpOzsbCUlJemOO+4osX/dunX19ttva9myZXI6nRo1apSnSgVQTdTmx2XmSz+RrS4vf1Xstg2P99WVFVyEVR2viXXX9ZaVmTG/66q2lS0bqLFsDZwDBw7Ua6+9ppkzZ2rnzp3Kyckp81S5v7+/YmNj9eWXX3qoSgDVSW1+XGY+d67Qr27XxEruvd6yMjPmdgdOE4ubGJPFYlVl63fqkUce0Ycffqj77rtPkuTn56fly5fr008/1ciRI0vc79SpU8rLq9gsBmonFmTUPgM6ttKCHYfK3b8mPS5Tcv9sZHWb4cu/3rKkgJx/vWV537/pGXN3hxkTi5sY0/2LxWpjiLX1Gs62bdtq3bp1GjVqlPr06aPPPvtMM2bMUHx8vEaNGqWdO3cW2Wf16tVauXKlOnToYEPFALxdbX5cponrDavTNbEm3r/JGfOl3x9W55e/Kva62M4vf1Xh62JNLG5iTPcvFnP3z726sP3Rlh06dNB7772nlStX6tZbb9Xw4cP1xhtv6KOPPlJERITat2+vESNG6N5771W/fv00YMAAnTt3rmBWFAAuVpsfl2lihX51uibWxPsf0LFVhWoo74y5u8OMibDNmO5fLFab73hge+AszkMPPaT169crLi5Oe/fu1dy5czVz5kytWbNGPj4+evrpp/Xwww/bXSYAL1Vbn1FuYjayOl0Ta+L9m5gxNxFmTIRtxnTvmLX9jgdeGTglKSYmRqtWrdKhQ4e0ZMkSzZo1S3PnzlV6err+8pe/2F0eAC9X1uMya1rYlMzMRpqa4buYu+7vaeL9m5gxNxFmTIRtxnTvmLX9HsFef2Vqq1atdOONN9pdBoAapKY+o9zEbOSwrqF6ftn35fpFWZlrYt25KMPUbOxNnYI154899NC8onVKF973m7d1K/cfMSZWvpsI24zp3jGr4x0P3MnWGc4vvvhCublVu94nPT1dW7ZscVNFtUtOTo4mTZqkK664QgEBAQoNDdWoUaP0888/210a4JXST2SrybP/KfZf+olsu8szMhtp8ppYd1/PZnI29sbfBev7cf311m3dNLRLqOLat9DQLqF667ZuShnXv0Iz5ibCjImwzZjuHbM6XQ9tgq2Bc9CgQWrRooVGjBihTz75RCdOnCjXfps3b9akSZPUrVs3XX755ZozZ47hSmuenJwcXXfddZoyZYqysrI0ePBgtWnTRrNmzVJUVFTBDfkBVB+mVujnz/CVNHaLhn4VvibWxPVspu9QUL9eXd11VVt9EH+VFt17jT6Iv0p3XdW2wgvPTIQZE2GbMd07ZnW6HtoEWwPn66+/rt///vdauHCh/vjHP6pVq1a67rrr9Prrr2vv3r0F/c6ePasVK1ZozJgxatu2rWJiYjR16lT98ssveuCBBxQfH2/ju6ieXnzxRa1fv149e/bUjz/+qE8//VRJSUl69dVXlZGRwVOcgGrI5GykO2f4JDPXs1WXOxSYCDMmwjZjundMT1wP7c1sDZxjxozRihUrdPToUX388ccaMmSIkpOTNXbsWIWHhysyMlK33XabWrRooYEDB+qtt95S06ZN9eyzzyopKUk///yz3nrrLXXr1s3Ot1Ht5OXl6Y033pAkvfnmm2rUqFHBtieeeEJdu3bV2rVrtWnTJrtKBFBJJlfou2uGTzJ3f08Ts7HuZiLMmAjbjOneMWvzPYIlL1k01LRpU8XHxys+Pl55eXn66quvtHDhQi1atEjff/+9rrnmGg0ePFiDBw9W+/bt7S632lu3bp0yMzPVvn17de/evcj222+/Xdu2bdOiRYsUHR1tQ4X/c/DgQTVs2NCtY7Zu3Vq+vmUf+gcOHNDZsyWvkj1w8rR0qvhHCB7Yv086Vb/EfVu1aqWAgIAyazhy5IhycnLK7FcZgYGBhf7YKMmxY8eUlZVlpIamTZvqkksuKfOJUJmZmTp58mSFxi7vz6dRo0YKDAwsc7ysrCwd2P9zpX/mpQkICFCrVmXPfuTk5OjIkbKDWp8gaeO9XfRFaqbW7Tulk2fOqal/XfVu20Q3hl+iAN8zSk9PL7SPr6+vWrcu+xfc2bNndeBA1VfPHjrxa4X6//Z6tt/Wf7FODaRld3as0Pu/mLs+I0ozKTZUY79MK/WSgvKEmYs/Izo3lGbcEKaJa/brRE7RSxCaB/jqhT6XqlOD0t9/vsDAwHItmJo2oH25x6xonZmZmbrkkkvKHPOa0AC3vveL65yU+LOOny76c/7tYrGsrCwdO3as1DHL+3OfFBuqowf/t56ivJ8RZ86cKbOPXXwsyyrjChp7nTp1Sk2aNLG7jBrlb3/7mx5//HENHz5cn332WZHtS5Ys0c0336whQ4Zo/vz5Hq0tJSVFERERRl9j+/btateuXZn9IiIitG/fPiM1LFmyRLGxsWX2u+mmm7Ru3TojNbz99tv6wx/+UGa/0aNHa/bs2UZqGD9+vJ577rky+7344ovGbocWHx+vd955p8x+n3zyiR588EHJ108Kv1pqFykFNJJysqT076TUb6WzlbvIv3fv3lq6dGmZ/b7++msNGjSoUq9RlrZt22rHjh1l9ktPT1eXLl2q/oI3PCKF/77c3Yd2CdUH8VcVfG3y94LHPiPCukv97pPqF30vTf189O4dMWXOxBb7GVG3ntShZ9Fj9KdvpHPlX7hy8WfE6bxzmvfdAa348aiOZ+eqeQM/9b8iSLdFttbjjzxcuc+IctRZ4c8IN733i42Iv0t97h1f7Hu/+I+Bgs+IspTyc1f2SWn1+1Ja4cXQ5fmMsCxLM2fO1OOPP17QtmPHDnXu3LnsmjzAK2Y4S0PYdL/8D8hLL7202O357VUNW0ePHlVGRvGzQSVJTU2t0msCRoVFSf3uLfqLIvz30jV3SKvel9I221NbdZP+XYUCZ027nk3ShVDxwWPFBqRZLz+j6yt72v9cnvTD2gv/3CT/cgq33qbHQJ0mxvTVefe+91J+7lUJxt7O6wMn3C//9GiDBg2K3Z5/Cruqp1HfeustvfDCC1UaA/AW352qK904VqpTwqXv9Ztc2P7Fa0VmJ1CM1G8vhPTiZnl+oyZez1aghIDkX3ecTQXBI0yEbS/ntU8agjn5V1H4+BR/NbSXX2UBeFx27ll9fCCg5LCZr06dC6fK6lbs9ie10tncCzPC58+X2s3uFeUA3IPAWQs1btxYkuRyuYrdnp194QbW5VlQAtQGn287qKxz5fy4rN/kwqkylC1t84UZ4dOnit3sDSvKAbgHp9RrobZtL1yHUtIThfLb8/tV1kMPPaThw4dXaJ/U1FQNGTKkSq8LuFtFb+GjdpG16lRZlfzmera4GwaVuCgDQPXl9avU4X6rV69Wv3791L59+2IX6UydOlUTJ07UxIkTPX4N5m9XqX/++efq0KGDW1/DnbdFGviP/xa7bdkDvdS6KbdFKkv+bZHKUpnbIpVXeW6LdMv765W4+5dyj/n71o30/i3lv4Wbu2+LVBmevi1SScqzOlwq/bZIVeWJ2yKVhc+IC6rLZ4RUvtsiVVZ5PiMsy9I333yjgQMHFrSxSr0Ma9euVXBwsK644gpJ0o8//qjDhw/r2muvtbmymqFXr15q2rSpdu/erS1bthS5F+fcuXMlSTfffLMd5RUSGhpa7l9A7lbmL98T2VKTH4vft01btWtW/KKsiihPCDEtMDCwXB+2Jl1yySXl+qVjSkUfSRfavImR4zYgIMC2/x/y+fr62l6DVP5galJ5ArppfEZcYPdnhHQhmNp9KZq/v7+tr18ar7yGs0+fPnrppZcKvp42bZr69u1rY0U1i5+fn8aMGSPpwtOeLr6Wc/r06dq2bZt69+6tmJgYu0oEvEptfyQdAFSVV85wSqyUNm3ChAn66quvtH79enXo0EGxsbFKT09XUlKSAgMDNWvWLLtLBLzGsK6hen7Z9+V69neNvoUPAFSSV85wwryAgACtXr1azz//vBo0aKAFCxYoLS1NCQkJ2rJli8LDw+0uEfAaJp6rDAC1CYGzFqtfv76mTJmi1NRUnTlzRocPH5bT6VSbNm3sLg3wOjd1CtaMoZElbm/eoB638AGAEnjtKXUA8DZ9wluWuO3LB3qrY1BjD1YDANUHM5wA4AYBnEYHgBIROAEAAGAUgRMAAABGETgBAABgFIETAAAARrFKHQDKqV2zBjo17Va7ywCAaocZTgAAABjllYEzLi5OV155ZcHXV155pa699lobKwIAAEBleeUp9dWrVxf6ety4cRo3bpxN1QAAAKAqvDJwouZzOp1yOp1F2l0ul+eLAQAARhE4YYu0tDQlJibaXQYAAPAAAidsERYWpri4uCLtLpdLycnJNlQEAABMIXDCFg6HQw6Ho0h7SkqKIiIiPF8QAAAwxitXqQMAAKDmIHACAADAKAInAAAAjPLKazjz8vK0a9cuZWRk6OTJk2ratKlatmypjh07ql69enaXBwAAgArwmsCZkZEhp9OpJUuWaMOGDTpz5kyRPgEBAerRo4cGDRqkhIQEtWzZ0oZKAQAAUBG2B86ffvpJEydO1Pz585WbmytJatGihaKjo9W8eXM1adJEJ0+e1IkTJ/TDDz8oMTFRiYmJmjBhgoYNG6YpU6YoPDzc5ncBAACAktgaOB955BG9++67OnfunPr27av4+Hj16dNHl112WYn77NmzR6tXr9bs2bP12Wefad68ebr//vv1xhtveLByAAAAlJeti4b++c9/6sEHH9S+ffu0YsUK3XPPPaWGTUm6/PLL9X//939auXKl0tPTNXr0aM2cOdNDFQMAAKCibJ3h3LNnj4KDgyu9f+vWrTVjxgw9++yzbqwKAAAA7mTrDGdVwqaJcQAAAOB+ti8aOnnypN544w0tX75c6enpkqRmzZopPDxc0dHR6tOnj3r27GlzlQAAAKgs20+pX3vttTp06JAsyypo379/v7Zv36758+dLkkJDQ3Xvvfdq7Nixatq0qV3lAgAAoBJsPaX+1FNP6eDBgxo1apS2bdumw4cPa8+ePbrlllskSXfeeadCQkJ04MABTZkyRR06dCgIoQAAAKgebA2ca9asUXR0tN577z1FREQoKChIYWFhat68uSTp448/1s8//6xvv/1W99xzj06ePKnbb79db7/9tp1lAwAAoAJsDZznzp1Thw4dyuzXo0cPvf/++9qyZYs6dOigRx99VJs2bfJAhQAAAKgqWwNnZGSkkpOTy92/U6dOWr58ufz9/TVt2jSDlQEAAMBdbA2cDz30kFJTU/XnP/+53Pu0bdtW/fv319q1aw1WBgAAAHexdZX6HXfcof/85z+aOHGi9u7dqz//+c9q1apVmfudOnVK2dnZHqgQpjidTjmdziLtLpfL88UAAACjbL8P50cffaTmzZvrrbfe0scff6zBgwcX3I/zt/Ly8jRjxgytXr1aV199tYcrhTulpaUpMTHR7jIAAIAH2B4469atq7///e8aPny4Jk6cqH//+98F2xo3bqyQkBA1btxYubm52rt3r06fPq26detqypQpNlaNqgoLC1NcXFyRdpfLVaHregEAgPezPXDmi4uLU2Jion766SfNmzdPa9as0ebNm5WamlrQx9fXV9dff70mTZqka665xsZqUVUOh0MOh6NIe0pKiiIiIjxfEAAAMMZrAme+Dh06aPz48Ro/frykC4++PHHihHx8fNS6dWv5+npdyQAAACiF16e3pk2b8jhLAACAaszW2yL98MMPXjUOAAAA3M/WwBkREaE//OEP2rFjR6X237p1q+644w516dLFzZUBAADAXWwNnM8//7wWLVqkyMhIRUVF6dVXX1VycrLy8vKK7X/mzBl9++23mjZtmrp06aLo6GgtXbpUEydO9HDlAAAAKC9br+GcNGmSHnzwQf35z3/Whx9+qKefflo+Pj6qV6+ewsLC1KxZMzVu3FinTp3S8ePHlZ6errNnz8qyLDVt2lSPPfaYnn32WbVs2dLOtwEAAIBS2L5oKCgoSDNmzNBf/vIXffbZZ1q8eLH++9//6scffyzSNzg4WLGxsRo0aJBGjBihgIAAGyoGLmjXrIFOTbvV7jIAAPB6tgfOfPXr11dCQoISEhIkSRkZGTp69KhOnjyppk2bKigoiJlMAACAashrAudvtWzZkoAJAABQA9i6aAgAAAA1H4ETAAAARlX7wLlz505dfvnldpcBAACAElT7wJmbm6v09HS7ywAAAEAJvHbRUL4pU6aUuv3w4cMeqgQAAACV4fWBc/LkyQoJCZGfn1+x23Nzcz1cEQAAACrC6wNn27Zt9corr2j48OHFbt+6dauio6M9XBUAAADKy+uv4ezWrZu2bt1a4nYfHx9ZluW5ggAAAFAhXj/D+eSTTyorK6vE7eHh4Vq9erUHK4I7OJ1OOZ3OIu0ul8vzxQAAAKO8PnDGxsaWur1hw4aKi4vzUDVwl7S0NCUmJtpdBgAA8ACvC5y5ubn697//rfXr1ysrK0utWrVSVFSUBgwYoObNm9tdHtwkLCys2D8UXC6XkpOTbagIAACY4lWB88CBA+rfv7927dpV6LpMHx8f+fn5KT4+Xi+++KJatWplY5VwB4fDIYfDUaQ9JSVFERERni8IAAAY41WBc+zYsfrhhx90xRVX6IEHHlBYWJgyMzO1bt06LV68WLNmzdLSpUu1aNEiXXXVVXaXCwAAgHLwqsC5YsUKtWrVShs2bFCTJk0K2u+55x6dP39eL7/8sl544QUNGjRIW7ZsUWhoqI3VAgAAoDy86rZILpdLffr0KRQ289WpU0fjx4/X7NmzlZGRoalTp9pQIQAAACrKqwJnixYtlJmZWWqfoUOHKjo6WosWLfJMUQAAAKgSrwqcAwYMUGJiotLT00vtd8UVV+j48eMeqgoAAABV4VWB8+WXX1ZAQIAGDRqkHTt2lNgvJSVFl19+uQcrAwAAQGV5VeBs1aqV/vWvf2n37t2Kjo7WPffco/nz5+vo0aM6e/asdu/erfvuu0/btm3TuHHj7C4XAAAA5eBVq9SlC6fV161bp9GjR+uDDz7Qhx9+WKTPww8/rAEDBthQHQAAACrKq2Y480VHR2vDhg1avXq1HnvsMXXt2lW+vr6yLEuWZemtt95SaGioWrdurVtuuUWTJk3SwoUL7S4bAAAAxfC6Gc58Pj4+iouLK3j8YW5urrZv367Nmzdry5Yt2rx5s7Zv364lS5ZoyZIl8vHx0blz52yuGgAAAL/ltYHzt/z8/BQdHa3o6OiCtvPnz2vnzp3atGmTtm7dal9xAAAAKFG1CZzFqVOnjjp37qzOnTvr7rvvtrscAAAAFMMrr+EEAABAzUHgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYVa1XqaP6cjqdcjqdRdpdLpfniwEAAEYROGGLtLQ0JSYm2l0GAADwAAInbBEWFlbwFKmLuVwuJScn21ARAAAwhcAJWzgcDjkcjiLtKSkpioiI8HxBAADAGBYNAQAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKF+7C0Dt5HQ65XQ6i7S7XC7PFwMAAIwicMIWaWlpSkxMtLsMAADgAQRO2CIsLExxcXFF2l0ul5KTk22oCAAAmELghC0cDoccDkeR9pSUFEVERHi+IAAAYAyLhgAAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARvnaXQBqJ6fTKafTWaTd5XJ5vhgAAGAUgRO2SEtLU2Jiot1lAAAADyBwwhZhYWGKi4sr0u5yuZScnGxDRQAAwBQCJ2zhcDjkcDiKtKekpCgiIsLzBQEAAGNYNAQAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKN87S4AtZPT6ZTT6SzS7nK5PF8MAAAwisAJW6SlpSkxMdHuMgAAgAcQOGGLsLAwxcXFFWl3uVxKTk62oSIAAGAKgRO2cDgccjgcRdpTUlIUERHh+YIAAIAxLBoCAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRvnYXgNrJ6XTK6XQWaXe5XJ4vBgAAGEXghC3S0tKUmJhodxkAAMADCJywRVhYmOLi4oq0u1wuJScn21ARAAAwhcAJWzgcDjkcjiLtKSkpioiI8HxBAADAGBYNAQAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKF+7C0Dt5HQ65XQ6i7S7XC7PFwMAAIwicMIWaWlpSkxMtLsMAADgAQRO2CIsLExxcXFF2l0ul5KTk22oCAAAmELghC0cDoccDkeR9pSUFEVERHi+IAAAYAyLhgAAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETkqRjx47pwQcfVGhoqPz9/RUWFqZ33nnH7rIAAEANwKMtoaysLMXGxqp169aaM2eO2rVrp0OHDikvL8/u0gAAQA1A4PSgTZs2acWKFdqwYYOSkpJ08OBB+fv7Kycnp9T9cnJyNG3aNM2ZM0f79u1T8+bNNXDgQE2ZMkWXXnpplet65ZVXlJ2drcWLF8vf31+SFBYWVuVxAQAAJAKnR02dOlULFy6s0D45OTm67rrrtH79eoWEhGjw4MFKS0vTrFmztHjxYn3zzTdq3759leqaN2+eevfurccff1zz589XkyZNNGjQIE2dOlUNGzas0tgAAAAETg/q2bOnIiMjFRMTo5iYGAUHB5e5z4svvqj169erZ8+eWr58uRo1aiRJmj59up588kmNGjVKiYmJhfY5fvy4jh8/Xuq4TZo0UVBQkCRp9+7dSk1N1ciRI7Vo0SIdPHhQY8aM0YEDB/Tpp59W8t0CAABc4GNZlmV3EbWVj49PqafU8/LyFBQUpMzMTG3evFndu3cvtD0yMlLbtm1TcnKyoqOjC9onT56sF154odTXTkhIkNPplCT5+/urRYsWSk9Pl6/vhb9B5s6dq+HDh+vIkSMFwdQTUlJSFBERUfD1t99+q06dOnns9QEAqI4sy9LmzZvVt2/fgrYdO3aoc+fONlb1P8xwerF169YpMzNT7du3LxI2Jen222/Xtm3btGjRokKBc+LEiZowYUKpY9ep878bFISEhCgsLKwgbEoqOEDT09M9Gjh/y7Is8TcRAACl8/bflQROL/bdd99JkqKioordnt+e3y9fnTp1CgXKssTGxmrNmjU6d+6c6tatK0natWuXpKotHjp69KgyMjIqtE9qamqhr3NycuRyuSpdAwAAsB+B04vt27dPkkpciZ7fnt+vsp566il99tlnGjNmjMaOHauDBw/qqaeeUnx8vFq2bFnpcd96660yT+0DAICaj8DpxbKysiRJDRo0KHZ7/gry/H6VFRkZqaVLl2r8+PGKjIxUcHCwbrvtNk2ZMqVK47pDgwYNChZKAQCAkpWUF7wBgbOcbr/9du3YsaNC+3z44Yfq0aNHpV8z/3oMHx+fUre7w3XXXaeNGze6bTwAAIB8BM5ySktLK7iusbyys7Or9JqNGzeWpBKvYcwf31tnAB966CENHz68QvukpqZqyJAhBV8zwwkAQPkww1kDJCcne/w127ZtK0n6+eefi92e357fz9sEBQVVeYW7j49PiTO8AADgf7z592X5lzLD4yIjIyVJmzdvLnZ7fnvXrl09VhMAAEBFETi9WK9evdS0aVPt3r1bW7ZsKbJ97ty5kqSbb77Z06UBAACUG4HTi/n5+WnMmDGSpDFjxhS6lnP69Onatm2bevfurZiYGLtKBAAAKBPXcHrQkiVLNHXq1EJtubm5uvrqqwu+fv755zVo0KCCrydMmKCvvvpK69evV4cOHRQbG6v09HQlJSUpMDBQs2bN8lj9AAAAlUHg9KCMjAwlJSUVarMsq1Dbb5/MExAQoNWrV2vatGmaPXu2FixYoGbNmikhIUFTp05VmzZtPFI7AABAZflY3v7wTdQqKSkpioiIKPh6x44dBc91BwAAJfPm36FcwwkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAo3i0JbzKmTNnCn2dmppqUyUAAFQvv/2d+dvfqXYicMKr7N+/v9DXQ4YMsacQAACquf379ysqKsruMiRxSh0AAACGETgBAABglI9lWZbdRQD5MjMzlZiYWPD1lClTtHnzZl111VVyOp0F7ampqYVOty9YsEDh4eEerLRyHA6HkpOTi7wfb32dqoxTkX3L27c8/UrrU9I2jifPvE5lx6nofhxPFVfdjqWqjGXX8VTZ7RU5ns6cOVPo0rS4uDhdcsklZbxDz+AaTniVSy65RIMHDy74+rXXXpMkNWzYUJ07dy5xv/Dw8FK3e4uGDRsW/Ndkve56naqMU5F9y9u3PP1K61Pe1+F4MvM6lR2novtxPFVcdTuWqjKWXcdTVbfnK+t48pZrNn+LU+oAAAAwisAJAAAAowicAAAAMIrACQAAAKNYNASv5nA41KdPH4WFhdldilt46v2463WqMk5F9i1v3/L0K60Px5O9r1PZcSq6H8dTxVW3Y6kqY9l1PFV1e3XHbZFQLaWkpCgiIqLg6x07dnj9KlB4L44nuBPHE9ypphxPnFIHAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBR3BYJ1VLLli01adKkQl8DlcXxBHfieII71ZTjidsiAQAAwChOqQMAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAidqtbVr12rw4MFq166dfHx8NHnyZLtLQjWxfPlyRUdHKyAgQK1bt9aECRN07tw5u8tCNcTnENxp1qxZ6tu3r1q2bKnGjRsrOjpan3zyid1lEThRu2VlZalTp056+eWXFRwcbHc5qCa2bNmim2++Wddee622bNmi119/XX//+9/1//7f/7O7NFRDfA7BnVauXKlbb71VS5cu1ZYtW3THHXfoj3/8oz799FN7C7MAD0lOTramTZtmDR061AoNDbUkWf7+/mXud/r0aWvixIlWhw4dLH9/fyskJMS65557rP3797u1vnbt2lmTJk1y65jwPE8cZ/Hx8VZUVFShthkzZlj169e3fv31V7e9F9jP059bfA7VbHb9HrzxxhutYcOGVbX8KiFwwmMGDx5sSSr0r6z/0U6fPm1dc801liQrJCTEGjFihNWjRw9LktWyZUsrNTXVbfXxQV8zeOI4a9eunTVhwoRCbampqZYka82aNW5/T7CPpz+3+Byq2ez6PdizZ0/r/vvvd9fbqBRfj0yjApJ69uypyMhIxcTEKCYmplynjl588UWtX79ePXv21PLly9WoUSNJ0vTp0/Xkk09q1KhRSkxMLOh//PhxHT9+vNQxmzRpoqCgoKq9GXgtTxxnhw4dUkhISKEx8l/n4MGDbnw3sJsnjifUHnYcTx988IGSk5P197//3W3vo1Jsjbuo1VTGX3a5ubnWJZdcYkmyNm/eXGR7165dLUlWcnJyQdukSZOK/PX4238JCQnFvh4zCzWTiePMz8/PevPNNwv1c7lcliRrzpw57iseXsfE8XQxPodqF9PH04IFCyx/f39r5syZbqu5slg0BK+1bt06ZWZmqn379urevXuR7bfffrskadGiRQVtEydOVF5eXqn/Zs6c6bH3AO9XmeMsJCREhw4dKtQv/+vfznyidqnM8QSUpCrH07/+9S+NHDlS77zzju655x7jtZaFwAmv9d1330mSoqKiit2e357fT5Lq1KkjX1/fUv/VqcNhj/+pzHHWq1cvffHFF4X6LV26VPXr11d0dLShSlEdVOZ4AkpS2ePpvffek8PhkNPplMPhMFpjeXENJ7zWvn37JEmXXnppsdvz2/P7VUZWVpZSU1MlSbm5uTp8+LC2bt0qPz8/derUqdLjovqozHH25JNP6uqrr9aTTz6pe++9Vzt37tTEiRP16KOPFlxfhdqpMscTn0MoSWWOp+nTp+uZZ57Rm2++qT59+ujw4cOSpLp166ply5aGKy4ZUz3wWllZWZKkBg0aFLu9YcOGhfpVRnJysrp3767u3bvr0KFD+sc//qHu3bvrpptuqvSYqF4qc5xFRUVp0aJFWr16tbp166YxY8booYce0p///GfzBcOrVeZ44nMIJanM8fT666/r3LlzGj16tEJCQgr+xcTEmC+4FMxwwmtZliVJ8vHxKXV7VfTp08ct46D6quxxdsMNN+iGG24wVheqp8ocT3wOoSSVOZ7S0tJMllRpzHDCazVu3FiS5HK5it2enZ0tSZzCRJVwnMGdOJ7gTjXpeCJwwmu1bdtWkvTzzz8Xuz2/Pb8fUBkcZ3Anjie4U006ngic8FqRkZGSpM2bNxe7Pb+9a9euHqsJNQ/HGdyJ4wnuVJOOJwInvFavXr3UtGlT7d69W1u2bCmyfe7cuZKkm2++2dOloQbhOIM7cTzBnWrS8UTghNfy8/PTmDFjJEljxowpdA3L9OnTtW3bNvXu3dv2lXeo3jjO4E4cT3CnmnQ8+VgsjYOHLFmyRFOnTi34OikpST4+PurRo0dB2/PPP69BgwYVfJ2Tk6M+ffooKSlJISEhio2NVXp6upKSkhQYGKhvv/1W4eHhHn0f8G4cZ3Anjie4U60+nux5oiZqo1mzZpX5nPNZs2YV2S87O9t6/vnnrfbt21t+fn5Wq1atrISEBGvfvn2efxPwehxncCeOJ7hTbT6emOEEAACAUVzDCQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAnA661YsUJDhgxRcHCw/Pz8FBgYqE6dOukPf/iD3nvvPeXm5tpdoldzOBzy8fHRmjVr7C6lkMmTJ8vHx6fgX7du3ewuyTh3/izGjh1b6PvXp0+fKo8JmOJrdwEAUJpJkyZpypQpkqSIiAj16tVLdevW1a5duzRnzhzNnj1bt9xyi4KDg22u1D5hYWFKT0+XZVl2l1IpvXr1Unh4uNq2bWt3KdVKjx49lJCQoKysLM2bN8/ucoBS+VjV9RMKQI2XnJysmJgY+fn5af78+brpppsKbT9w4IDee+89PfbYY2rWrJlNVdqvrMB56NAhnTx5Um3btlWDBg08XF3JJk+erBdeeEGzZs2Sw+GwuxyPMPGzSEtL02WXXaa4uDivm8UG8jHDCcBrzZ8/X5I0YsSIImFTklq3bq3Jkyd7uKrqJyQkRCEhIXaXAfGzQO3FNZwAvFZGRoYkqWXLlpXa96mnnlLHjh0VEBCgZs2a6cYbb9TatWuL9F2zZo18fHzkcDh06NAhORwOtWrVSvXr11dUVJQ+/PDDYl/j66+/1pgxY9S1a1c1a9ZM9evX15VXXqnx48crMzOz1Nc5fPiw7r33Xl166aXy9fXV3/72N0kXZsBefvllxcXFqXXr1vLz81NwcLCGDRumjRs3Fjteenq6JBW6ni8sLKygX2nXDe7fv18PPPCA2rVrJ39/fwUFBRX7WtKFmbT8awVPnz6t8ePHF+wXHh6ul156ya2n9S3L0pw5c3THHXfoiiuuUMOGDdW4cWP16NFDb731ls6fP19kn/zrQp1OpzZs2KCbb75ZgYGB8vHx0datWwv6ffPNNxoxYoRCQ0Pl7++v1q1b64YbbtDHH39caLz87+XZs2c1depUhYeHq379+vrd736nWbNmFfRbtWqV+vbtqyZNmqhZs2a6++67dezYsSL1lfSzCAsLk4+PjyTp/fffV9euXVW/fn0FBwfrgQceKPZ4AqoTZjgBeK1LL71UkjRv3jw9++yz5Q6eP/zwg66//nodOHBA7du310033aRjx45p1apVWr58uT766CPFx8cX2e/48eO6+uqrdebMGfXp00cnTpzQ6tWrlZCQoL1792rSpEmF+j/99NPaunWrIiIi1K9fP505c0abN2/WSy+9pMWLF+vbb79Vo0aNirxORkaGYmJidPbsWfXu3Vs5OTkFp1cXLlyocePGKTw8XF26dFGTJk2Umpqq+fPna/HixVq8eLEGDBggSQoODlZCQoLmzp0rl8ulhISEgtdo0aJFmd+n7du3q1+/fvrll1905ZVXatiwYdq3b5/mz5+vRYsWafbs2Ro+fHiR/XJzczVgwAClpKSoR48e+t3vfqfExESNHz9ev/76q/70pz+V+drlcebMGcXHx6tZs2bq1KmToqKi9Msvv+ibb77Rww8/rA0bNsjpdBa779q1a3X//ffriiuu0IABA3Tw4EHVqXNhjuVvf/ubnnjiCVmWpZiYGMXFxeno0aPavHmzdu3apbvuuqvIeCNGjNBXX32lnj17qn379kpMTNSoUaMkSY0bN9add96pyMhI9e/fX0lJSfroo4+0d+9erV27tiBIlsczzzyjGTNmKCYmRgMHDtT69ev17rvvaufOnUpMTKzQWIBXsQDAS6WmploBAQGWJKtJkybW3Xffbb333nvWjh07rPPnzxe7z9mzZ62IiAhLkjVjxoxC/TZv3mwFBgZaDRs2tI4cOVLQvnr1akuSJcnq37+/lZWVVbBtw4YNVqNGjaw6depYW7ZsKfRaS5YssY4fP16oLScnx7r//vstSdYLL7xQaNvFrzN06FDr9OnTRerftm2b9d133xVpX7ZsmeXn52e1b9++yHtv166dVdrHeUJCgiXJWr16dUHb+fPnrS5duliSrGeffbbQmP/+97+tOnXqWI0bN7YOHz5c0L53796C+mNjY62MjIyCbRs3brR8fX2tBg0aWL/++muJtVxs0qRJliRr1qxZxW7Py8uz5s2bZ505c6ZQ+9GjR62rrrrKkmQlJiYWO6Yk66WXXioyZmJiouXj42M1adKk0PfDsizrzJkz1rJlywq15Y8VERFh7d+/v6B91apVliQrJCTECgwMtObOnVuw7eTJk1bnzp0tSdaqVasKjVfcz8Ky/vczDAkJKXScZWRkWOHh4ZYka+XKlcV+n/J/LnFxccVuB7wBgROAV/vyyy+t0NDQgl/8+f+CgoKsp59+2jpx4kSh/vPnz7ckWXfeeWex4/3tb3+zJFmvvvpqQVt+EPTx8bF++OGHIvuMGzfOkmTdf//95ao5Ozvb8vX1taKiogq157+Ov7+/9fPPP5drrIv94Q9/sCRZ27ZtK9RemcCZH5guu+wy6+zZs0X2GTZsmCXJmjZtWkFbfrCpU6eOtWvXriL73HLLLcWGqZKUFThLs2LFCkuS9cQTTxQ7ZkRERLF/lNx4442WJOuvf/1ruV4n/3j7bXC0LMuKioqyJFl33313kW0zZsywJFmTJk0q1F5W4Hz//feLjPXqq68WO1Y+AieqA06pA/BqAwYM0J49e/Sf//xHK1asUFJSknbs2KGjR4/qlVde0fz587V+/fqC0+0rVqyQJA0ZMqTY8Xr37i1JxV6j2L17d3Xs2LFI+5133qmXXnpJ69atK7LtwIEDWrRokX744QedOnWq4LpCPz8//fTTT8XWEBUVpdatW5f4ns+cOaNly5Zpw4YNysjIKLjP6Pbt2yVJP/30k7p06VLi/uXx9ddfS5JGjhypunXrFtn+xz/+UZ9//rm+/vprjR8/vtC2sLAwXXHFFUX2yW87dOhQlWr7ra1bt2r58uVKT09Xdna2LMvSr7/+Kkklfo9vueWWIqefz507V3Dt5P3331/u1/fz81NcXFyR9ssvv1ybN29W//79i2xr3769pIp/L/Ivl7iYqe8r4EkETgBez9/fX8OHDy+4njAjI0NOp1OTJ09WamqqnnvuOb333nuSLixskS4EqZEjR5Y45i+//FKkrV27dsX2zV+Ac/DgwULt06dP17PPPlvhG8+Xdr/J7du369Zbby14H8XJD1tVkf9eLl5cdLGS3rP0v2trfyv/etUzZ85UuT7pwrWiDodDc+bMKbFPSd+L4r7Hv/zyi06fPq2goCA1bty43HUEBwcXXP95sYYNG0pSsX885G+r6PeiuO+tu7+vgB0InACqnZYtW+rpp59W/fr19cgjj2jJkiUF286dOydJuvHGGxUUFFTiGFdeeWWVavj222/15JNPqmnTpnr33XfVp08fBQcHy9/fX5IUGhpa4oxUQEBAse2WZWnEiBFKS0vT6NGjNXr0aF1++eVq1KiRfHx89Nxzz2natGluXQle1iKU4rZ7auHK9OnTNWfOHEVEROiVV15RVFSUmjVrpnr16unHH39Ux44dS/xelPQ9lipef2W+R5XFoiDUVAROANVW/qP8Lp6tzJ8hGj16tG699dYKjZd/e6GS2kNDQwva8u8R+qc//anQ6nBJOn36tA4fPlyh15YurK7/4YcfdNVVV+ntt98usn3Pnj0VHrMk+e9l7969xW7Pf8923jMy/3ucHzovVpnvRYsWLVS/fn0dOXJEv/76a4VmOQFUDffhBOC1yprJ2717t6TCQfD666+XJC1YsKDCr7d161b9+OOPRdrzT+n26tWroO3EiROSpDZt2hTp/+9//7tSs5D5YxZ3WvXEiRMF16f+lp+fnyTp7Nmz5X6t2NhYSdKnn35aMCt8sfz7Ueb3s0Np3+PPPvuswuPVrVu34I+U/EswAHgGgROA13r++ef1zDPPFDsL99NPP+nJJ5+UJA0bNqyg/fbbb9eVV14pp9Opl156SXl5eYX2y83N1eeff16wAOdi58+f16OPPqrs7OyCtk2bNunNN99UnTp19MADDxS05y/k+Oc//1noNb7//nuNGzeuUu83PDxcderU0apVqwothsnJydHo0aN1/PjxYvfLD9y7du0q92v16dNHXbp00d69ezVx4sRCAXnBggX6/PPP1ahRI1sfOZn/PX7nnXcKtc+dO7fEm/GXZdy4cfLx8dHUqVMLFk7ly8vL05dfflm5YgGUisAJwGtlZWXplVdeUfv27fW73/1Ow4YN08iRI9WzZ09deeWV2r17t6KjowvdkN3X11fz589XmzZtCp6EM3DgQI0YMUI9e/ZUq1atdNtttxXMjl7s5ptv1s6dO9W+fXuNHDlSAwcOVM+ePfXrr7/queeeU3R0dEHfe+65R8HBwVq0aJE6duyokSNHqn///urWrZtiY2NLXIBUmqCgIP3f//2fTp06pcjISN18880aPny4wsLCtGrVqhLDX/6lA9ddd53uvPNO3XvvvUVWlv+Wj4+PPvnkEwUGBurFF19U586dFR8fr969e2vo0KGqU6eOZs6cqeDg4Aq/D3d55plnVLduXY0fP15XXXWV4uPjFRMTo+HDh+vxxx+v1JhxcXF6+eWXlZmZqWuvvVa///3vFR8fr+uvv16hoaGF/qgA4D4ETgBea8KECfrwww8VHx8vX19fJSYm6vPPP1dqaqri4uL05ptvav369WratGmh/a688kpt3bpVkydPVlBQkNatW6clS5YoIyND1157rWbNmlVw6v1igYGB+uabb3T99ddr9erVWrNmjTp16qRZs2Zp6tSpRfpu3LhR8fHxys3N1X/+8x8dOHBAU6ZMKXVVdVnefvttvfrqq7rsssu0cuVKff3117r++uuVnJxcYoh99NFHNWHCBDVq1Ejz5s3TP//5T/3rX/8q87W6dOmizZs367777lNWVpbmzp2rXbt2aciQIfrvf/9b7FOGPOnaa6/VunXr1K9fP+3Zs0eLFy+Wn5+f5s2bp4cffrjS4z711FNas2aNBg8erL1792ru3Ln64YcfFB0drRdffNGN7wBAPh/LncsdAaAaWrNmjfr27auEhIQSH5UI95s8ebJeeOEFzZo1y9ZT99VdWlqaLrvsMsXFxRV5RjvgLVilDgCw1fvvv681a9aobdu2mjJlit3lVBuzZ8/W8uXLlZWVZXcpQJkInAAAW/33v//Vf//7X0VGRhI4K2DDhg364IMP7C4DKBdOqQOo9TilDgBmETgBAABgFKvUAQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABg1P8HNn5h0gJt9akAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApwAAAJjCAYAAAChj8FpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAC4jAAAuIwF4pT92AABQyklEQVR4nO3deVxVdf7H8TeKgLiFCyKkUuKSoqiEvywVWzTNyrRcYipuTpNmTvti/UxLf5OTTTbWWE01eWtKp3LNpdISMbM03FBMDRU0V3LngoJ6fn/0gInY4X7vucDr+Xjw8HG/3+8993PheHlzzvd7jo9lWZYAAAAAQ2rZXQAAAACqNwInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwChfuwsAfuvkyZNKTEzMf9yyZUv5+/vbWBEAAFXDuXPntH///vzHsbGxuuSSS+wr6DcInPAqiYmJuu222+wuAwCAKm/hwoUaPHiw3WVI4pQ6AAAADCNwAgAAwChOqcMWTqdTTqezUPuZM2cKPF64cKEiIiI8VBUAAFVXampqgWlpLVu2tK+Y3yFwwhZpaWkFFgcVJyIiQp06dfJARQAAVC/etOiWwAlbhIeHKzY2tlC7y+VSUlKSDRUBAABTCJywhcPhkMPhKNSekpKiyMhIzxcEAACMYdEQAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIzytbsAwKS0Y5m6bNKiIvv2vjBY4U3qe7giAABqHo5wAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwosbKzjlvdwkAANQIBE5Uayt2HCq2r9erK/RZ8s8erAYAgJqJwIlq67PknzXmP+uL7T+elaMh76zW4q2ETgAATCJwolrKyjmvP87+XhetksddtCyN+uh7Tq8DAGAQgRPV0scb0vVL5rkyjf0l85z+syHdcEUAANRcBE5US8u2HyzX+M/LOR4AAJQdgRM6duyYHnjgAYWGhsrf31/h4eF666237C6rUo67ynZ0M8+xco4HAABl52t3AbBXZmamevfurbCwMM2ZM0etW7fWoUOHlJuba3dpldK4nn+5xjcp53gAAFB2HOH0oA0bNuivf/2rhg4dqrCwMPn4+CggIKDU5509e1aTJk1Su3btFBAQoNDQUI0aNUo//1z51dUvv/yysrKytGTJEsXGxio8PFw9e/ZUnz59Kr1tO93UMbRc4weWczwAACg7AqcHTZkyRc8884wWLFiggwfLNmfw7Nmzuv766zV58mRlZmZq8ODBatmypWbNmqXu3btr9+7dlapp3rx56tWrlx599FG1aNFC7du312OPPSaXy1Wp7dptRHRrNa1ftqOWzer7a2R0a8MVAQBQc3FK3YN69uypqKgoxcTEKCYmRiEhIaU+58UXX9TatWvVs2dPLV++XPXr15ckTZ8+XY8//rhGjRqlxMTE/PHHjx/X8ePHS9xmw4YNFRwcLEnavXu3UlNTNWLECC1evFgHDx7UuHHjdODAAX388ceVeLf2CvTz1b/irtKQdxJLvDRSLR8f/esPV6muH/8VAAAwxceyrFKuVAhTfHx85O/vr7NnzxbZn5ubq+DgYJ08eVIbN25Ut27dCvRHRUUpOTlZSUlJio6OliQ9//zzeuGFF0p83fj4eDmdTkmSv7+/mjZtqvT0dPn6/hq65s6dq2HDhunIkSP5wdRTUlJSFBkZmf9427Zt6tSpU4W39+7aVP1p9roi+5rU89Osu3rqls6XVnj7AAB4C3f/DnUnDut4sTVr1ujkyZNq06ZNobApSXfccYeSk5O1ePHi/MA5ceJETZgwocTt1qr135kULVq0UHh4eH7YlJS/c6anp3s8cP6eZVmqzN9E17drXmzfN4/0U4eQRpXaPgAA3sKbf58ROL3Yli1bJEndu3cvsj+vPW+c9GuY/G2gLE3v3r21atUqXbhwQbVr15Yk7dy5U5IUHh5ekbLzHT16VBkZGeV6TmpqaoHHWVlZyszMrHANrqysYvsu5J6r1LYBAPAmWSX8zrMbgdOL7du3T5J06aVFn/LNa88bVxFPPPGEPvnkE40bN06PPPKIDh48qCeeeEJxcXFq1qxZhbcrSW+88Uapp/cBAED1R+D0YnlH3wIDA4vsr1evXoFxFREVFaVly5Zp/PjxioqKUkhIiG6//XZNnjy5wtt0p8oe4cxyZZfQ51JmnYsV3jYAAN6EI5yokLy5GD4+PiX2V9b111+vH374wS3bAgAA+D0Cpxdr0KCBJBV7Tcy8v2TyLpXkbcaOHathw4aV6zmpqam67bbb8h8HBATkH8mtiLo5RYd1SaobGKh69Yo+egwAQFXizQuGJAKnV2vVqpUkFXtHobz2vHHeJjg4uNKr3H18fIo9wlvW55vaNgAAKBvuNOTFoqKiJEkbN24ssj+vvUuXLh6rCQAAoLwInF7smmuuUaNGjbR7925t2rSpUP/cuXMlSTfffLOnSwMAACgzAqcX8/Pz07hx4yRJ48aNKzCXc/r06UpOTlavXr0UExNjV4kAAAClYg6nBy1dulRTpkwp0JaTk6Orrroq//Fzzz2nQYMG5T+eMGGCvvrqK61du1Zt27ZV7969lZ6ernXr1qlJkyaaNWuWx+oHAACoCAKnB2VkZGjduoL39bYsq0Db7+/MExAQoISEBE2dOlWzZ8/WwoULFRQUpPj4eE2ZMkUtW7b0SO0AAAAVReD0IIfDIYfDUe7n1a1bV5MnT/aai7EDAACUB3M4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGsWgIQJmln8hS52lfFdm39akb1DqIe9MDAArjCCcAAACMInACAADAKAInAAAAjGIOJ2zhdDrldDoLtf/2fvEAAKB6IHDCFmlpaUpMTLS7DAAA4AEETtgiPDxcsbGxhdpdLpeSkpJsqAgAAJhC4IQtiruvfEpKiiIjIz1fEAAAMIZFQwAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInADcIjv3gt0lAAC8FIETQJkl/JRRbN+Nb63Rsu2HPVgNAKCqIHACKJNl2w/rkYVbiu0/kZ2ruA/X6/MfCZ0AgIJ87S4ANZPT6ZTT6SzU7nK5PF8MSpWVc14Pzt+si1bJ4y5a0th5m7X96X6qW6e2Z4oDAHg9AidskZaWpsTERLvLQBnNTz6oY66cMo095srRvC0HdNeVrQxXBQCoKgicsEV4eLhiY2MLtbtcLiUlJdlQUfWUfiJLnad9VWTf1qduUOugwDJtZ/nOI+V63RW7jhI4AQD5CJywhcPhkMPhKNSekpKiyMhIzxeEEp3Izi3X+ONZZTsaCgCoGVg0BKBUQXXrlGt840A/Q5UAAKoiAieAUvVv37xc4/u1CzZUCQCgKiJwAijV0C6halKvbEctm9bz0+1RYYYrAgBUJQROAKUK9PPVzKFdVcun5HG1fKSZt3flkkgAgAIInADK5KaOIZoxJKrY/saBdTTn7h4aeEWIB6sCAFQFrFIHUGZ9I5oV2/fl6F5qH9zAg9UAAKoKjnACcIsATqMDAIpB4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUdzaErZwOp1yOp2F2l0ul+eLAQAARhE4YYu0tDQlJibaXQYAAPAAAidsER4ertjY2ELtLpdLSUlJNlQEAABMIXDCFg6HQw6Ho1B7SkqKIiMjPV8QAAAwhkVDAAAAMIojnKjWWgcF6vTUW+0uAwCAGo0jnAAAADCKwAkAAACjOKUOoMyYogAAqAiOcAIAAMAoAicAAACMInACNVR27gW7SwAA1BAETqAaS/gpo9i+G99ao2XbD3uwGgBATUXgBKqpZdsP65GFW4rtP5Gdq7gP1+vzHwmdAACzCJxANZSVc14Pzt+si1bJ4y5a0th5mzm9DgAwissiAV4i/USWOk/7qsi+rU/doNZBgWXe1vzkgzrmyinT2GOuHM3bckB3XdmqzNsHAKA8OMIJVEPLdx4p1/gVu44aqgQAAAInUC2dyM4t1/jjWWU7GgoAQEUQOIFqKKhunXKNbxzoZ6gSAACYwwmbOJ1OOZ3OQu0ul8vzxVRD/ds318Jth8o8vl+7YIPVAABqOgInbJGWlqbExES7y6i2hnYJ1XNfbC/TwqGm9fx0e1SYB6oCANRUBE7YIjw8XLGxsYXaXS6XkpKSbKioegn089XMoV0V9+H6Ei+NVMtHmnl7V9WtU9tzxQEAahwCJ2zhcDjkcDgKtaekpCgyMtLzBVVDN3UM0YwhUfrz/KIv/t44sI7evKObBl4R4uHKAAA1DYETqMb6RjQrtu/L0b3UPriBB6sBANRUrFIHaqgATqMDADyEwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjfO0uADWT0+mU0+ks1O5yuTxfDGyXfiJLnad9VWTf1qduUOugQA9XBABwJwInbJGWlqbExES7ywAAAB5A4IQtwsPDFRsbW6jd5XIpKSnJhooAAIApBE7YwuFwyOFwFGpPSUlRZGSk5wsCAADGsGgIAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYJRXB06Xy6Uff/zR7jIAAABQCV4XOA8dOqR//vOfuummm9S0aVNFRkbqsssu0yOPPKKVK1fqwoULdpcIAACAcvCKW1umpKRo0aJFWrRokTZs2KCLFy8qICBAN9xwgyIiIvT555/rtdde0+uvv65GjRpp0KBBGjx4sAYMGKD69evbXT7gtVoHBer01FvtLqNSsnP5IxMAqjpbj3A+/vjjioiIUJcuXTRhwgTt2bNHd911l+bNm6dffvlFixcv1quvvqodO3boxx9/1IsvvqgOHTpozpw5GjFihJo2baqBAwdq5cqVdr4NAJWU8FNGsX03vrVGy7Yf9mA1AAB3szVwvvrqq5KkRx55RKtWrdKRI0fkdDo1ZMgQBQYGFhjbvn17Pf3001q7dq0OHjyof/7zn+rXr58SExP1xRdf2FE+ADdYtv2wHlm4pdj+E9m5ivtwvT7/kdAJAFWVrafUk5OTFRkZWe7nBQcH67777tN9992n7OxsHT7MLyKgKsrKOa8H52/WRavkcRctaey8zdr+dD/VrVPbM8V5SPqJLHWe9lWRfVufukGtgwKL7AOAqsTWI5wVCZu/V7duXV122WVuqAbwXtV1HuP85IM65sop09hjrhzN23LAcEXepbr+3AHUPF63Sv348eN65plnFBMTozZt2ig6Olqvvfaa3WUBxtXEeYzLdx4p1/gVu44aqsQ+NfHnDqDm8YpV6nkOHjyoq6++Wvv375dlWWrQoIHS0tIUFRWVP2bt2rVyuVzq06eP/P39bawWleF0OuV0Ogu1u1wuzxfjBco6j3HO3T008IoQD1Zm1ons3HKNP55VtqOhVUVN/bkDqHm86gjns88+q3379mnUqFE6duyYTp06JcsqOLnr7NmzGjBggGbPnm1TlXCHtLQ0JSYmFvpKSkqyuzSPK+88xup0mjWobp1yjW8c6GeoEs+ryT93ADWPVwXOL774Qm3bttXbb7+toKCgIsdcd911Cg4O1pIlSzxcHdwpPDxcsbGxhb6uvPJKu0vzuJo8j7F/++blGt+vXbChSjyvJv/cAdQ8XnVK/eTJk4qNjZWPj0+J4yIiIpScnOyhqmCCw+GQw+Eo1J6SkuKWxWRVSUXmMd51ZStD1XjW0C6heu6L7WUKXk3r+en2qDAPVOUZNfnnDqDm8aojnKGhoTpwoPS/4sPCwnT0aPVbPICaqSbPYwz089XMoV1Vq+S/MVXLR5p5e9dqdUmkmvxzB1DzeFXgvO6667Ru3Tpt27atxHGZmZnKyeHDF9VDTZ7HKEk3dQzRjCFRxfY3DqxTLRfN1PSfO4CaxasC56OPPiofHx8NHz5c+/btK3JMdna2fvjhB4WFVZ9Ta6jZavI8xjx9I5oV2/fl6F7VLmxK/NwB1CxeFTg7deqkV199VTt37lTXrl317LPPFujPzs7WmDFj9Msvv6h///42VQm419AuoWpSr2xHr6rbPMayCKhGp9F/i587gJrEqxYNSdKDDz6o0NBQjRkzRn/9618lSR9//LFWr16t/fv3Kzc3V02aNCkURoGqKm8eY9yH60u8RE51nMdokrffMpKfO4CaxKuOcOYZMmSI9uzZo7/97W/q3bu36tSpoz179sjX11e33nqr1qxZo0svvdTuMgG3qanzGGs6fu4AagqvO8KZp169enrsscf02GOPSZJyc3NVp075JtkDVUlp8xjbBzfwYDXwFH7uAGoCrw2cv0fYRE1WXecxQmodFKjTU2+1uwwAMMrWwLlmzRp9//33io+PV7Nm//0r3+VyafXq1Tp+/LiaNm2qqKgohYRwSgkAAKAqsjVwTpkyRT/88IMefvjh/LYvv/xSd911l44fP15gbPfu3fXwww/rrrvu8nSZAAAAqARbFw1t2rRJMTEx+afLjxw5ohEjRujYsWPq2LGjRo4cqYEDB6pJkybasGGD4uPj1a9fP506dcrOsgEAAFAOtgbOkydPFjiV/t577+n06dOaMGGCtm7dqo8++khLlizR4cOH9fXXX6tbt276+uuvNXjwYF28eNHGygFUZdm5F+wuAQBqFFsDZ8OGDQsEx+XLl6tly5aaPHlygXG1atXStddeq3Xr1snhcOibb76R0+n0cLUAqpKEnzKK7bvxrTVatv2wB6sBgJrN1sDZokUL7d69W5KUlZWldevW6frrry92fO3atfXmm2+qefPmBE4AxVq2/bAeWbil2P4T2bmK+3C9Pv+R0AkAnmBr4BwwYIA2bNig9957T5MmTdLZs2dLPVXu7++v3r17Kzk52UNVAqhKsnLO68H5m0u8e48kXbSksfM2c3odADzA1lXqf/7zn/XBBx/oT3/6kyTJz89Py5cv18cff6wRI0YU+7zTp08rNzfXU2XCAKfTWeRRapfL5fliYDt3XotyfvJBHXPllGnsMVeO5m05oLuubOWW1wYAFM3WwNmqVSutWbNG06ZN0549e/Twww/r3LlzGjlypL788ks9+eSTuuKKKwo8JyEhQV9//bU6duxoU9Vwh7S0NCUmJtpdBqqh5TuPlGv8il1HCZwok6yc85qffFDLdx7RiexcBdWto/7tm2tol1AF+lWZ+6gAtrD9f0jbtm31zjvvFGjLyMjQww8/rPfff1/h4eGKjo5Ww4YNtWfPHn3zzTe6ePFi/lFRVE3h4eGKjY0t1O5yuZSUlGRDRaguTmSX7+zH8ayyHQ1FzbZs+2E9OH9zoaPnC7cd0nNfbNfMoV11U0fvuEGJiWBM2EZleeVeMnbsWMXExOjpp5/WqlWrtHfv3vw+X19fPfnkk3rwwQdtrBCV5XA45HA4CrWnpKQoMjLS8wWh2giqW77b4DYO9DNUCezkzoC0bPthxX24vth5wcdcOYr7cL3m3N1DA6+wN3SaCMZVKWzDe3ll4JSkmJgYrVy5UkeOHNHGjRt19OhRNWjQQD179lSLFi3sLg+Al+rfvrkWbjtU5vH92gUbrAZ2cGdAKu8itO1P91PdOrUrWnqlmAjGVSlsw7vZukq9LJo3b66BAwcqPj5eQ4cOJWwCKNHQLqFqUq9sRy2b1vPT7VFhhiuCJ+UFpOIWjuUFpLJeEqsii9DsYOLqDFzxAe7ktUc4AaAiAv18NXNo1xKPykhSLR9p5u1dbTsaZVpNnMdn4mhkVVmEZuLqDKav+ODt+xPci58ogGrnpo4hmjEkSn+eX/TF3xsH1tGbd3SrtqcAnevT9dCCwu994bZD+t9lKXrzjm7Vch6fiYBkehGau0KXiWBsMmxXhf0J7uX1p9QBoCL6RjQrtu/L0b2qbdg0cZcld5+mNqUiAak0JhehLdt+WJ2mfaWx8zZr4bZDStz9ixZuO6Sx8zar07SvynX7VRPB2FTYrir7E9yLwAlUUPqJLDV85rMiv9JPZNldHkoQUI1Po9fkeXwmAlL/9s3Ltc2yLkJzd+gyEYxNbLMq7U9wLwInAFQTJha4VJVFM5KZgGRiEZqJ0GUiGJvYZlXan+BeVS5wjho1SqNHj9a3335rdykA4FVMnFI2sU1TTASkvEVotXxKHleeRWgmQpeJYGxim6b3p6yc8/owaZ/u+egH3fLuWt3z0Q/6MGmfsnLOl2s7plWVOt2pygVOp9Opd999V3369NGAAQO0fv16u0sCAK9QlebxmWDqklg3dQzRnLt7FLvtpvX8ynUdShOhy0QwNrFNk/uTO+fEmlRV6nS3KrdKfdKkSbp48aK2bNmi1atXq2fPnrpwgTkeAFBV5vH9nrtWapu8JNbAK0K0/el+mrflgFbsOqrjWTlqHOinfu2CdXtUWLm2ZSp05QXjsfMKr/6Wfg3GM2/vWq4Fc+7epqn9yeQF6mvqXavcrUoGzjyWZWnTpk02VgMA3sPEXZZM37nJ3ZfHMRG68tStU1t3Xdmq0tfZNBni3RmMTWzTxP5k8m5QNfWuVSZUucD5Wz4+PurevbvdZQCAVxjaJVTPfbG9TPMDyzOPz93bzGPqaI+J0OVOpkO8u4KxiW2a2J9MXaDe3fun6Qvpe7sqHTgBoDitgwJ1euqtdpfhUSZOKZs6TW36aI+J0OUuJkO8tzOxP5m4QH1NvmuVKV63aOj48eN65plnFBMTozZt2ig6Olqvvfaa3WUBQJXg7gUuprZZky+PY2IxTlXi7v3JxJxYE/tnVVqAZ4JXHeE8ePCgrr76au3fv1+WZalBgwZKS0tTVFRU/pi1a9fK5XKpT58+8vf3t7FaAPBO3j6PT+Joj8m5plWBO/cnE3NiTeyfnliA5828KnA+++yz2rdvn/74xz9q2rRpCgoKUq1aBQ/Cnj17VgMGDNC7776re++916ZKUVlOp1NOp7NQu8vl8nwxQDXkzfP4JI72SN4/19Q0d+1PJubEmrprlcm5u97OqwLnF198obZt2+rtt9+Wj0/R5xquu+46BQcHa8mSJQTOKiwtLU2JiYl2lwHAJjX9aE8eb55rWlWYmBNr6q5VNXXuruRlczhPnjyprl27Fhs280RERCg5OdlDVcGE8PBwxcbGFvq68sor7S4NgAeYukc5ah4Tc2Kryl2rqhKvCpyhoaE6cKD0ibdhYWE6etS+26eh8hwOh1atWlXoq6jT7ACqH1N3BULN5O6FSFXlrlVViVedUr/uuuv0/vvva9u2bYqMjCx2XGZmpnJyqt98HgCoKUzeFQg1kzvnxFaVu1ZVJV4VOB999FF98MEHGj58uL744gu1alV4Tkt2drZ++OEHhYXx1y4Az0o/kaXO074qsm/rUzeodVCghyuq2mr6Sm24nzvnxFaFu1ZVJV4VODt16qRXX31VDz30kLp27aoxY8YU6M/OztaYMWP0yy+/6Pbbb7epSgCAu9TUoz2oGtg/3cerAqckPfjggwoNDdWYMWP017/+VZL08ccfa/Xq1dq/f79yc3PVpEkTPfvsszZXCgBwh5p4tAdVB/une3jVoqE8Q4YM0Z49e/S3v/1NvXv3Vp06dbRnzx75+vrq1ltv1Zo1a3TppZfaXSYAAADKwOuOcOapV6+eHnvsMT322GOSpNzcXNWpU77rYgGAp2TnXrC7BADwWl55hLMohE0Adkv4KaPYvhvfWqNl2w97sBoAqDpsDZyff/55pS9vlJ6erk2bNrmpIgAo2rLth/XIwi3F9p/IzlXch+v1+Y+ETgD4PVsD56BBg9S0aVMNHz5cH330kU6cOFGm523cuFGTJk1S165ddfnll2vOnDmGKwVQk2XlnNeD8zeXeD0+SbpoSWPnbeb0OgD8jq1zOF977TUtWrRIixYt0ty5c+Xr66vevXtr8ODBuuWWW3TZZZdJks6fP6+EhAQtWrRIn332mQ4cOCDLshQaGqrRo0crLi7OzrcBoJqbn3ywTPc/lqRjrhzN23KAFa0A8Bu2Bs5x48Zp3LhxOnXqlJYuXaqFCxfqyy+/VEJCgh599FFFRkYqIiJCX3/9tc6cOSPLstSpUyfdc889Gjx4sGJiYuwsH3Cr1kGBOj31VrvLQBGW7zxSrvErdh0lcALAb3jFKvVGjRopLi5OcXFxys3N1VdffaVFixZp8eLF2r59u66++moNHjxYgwcPVps2bewuF0ANcyI7t1zjj2dx610A+C2vCJy/VadOHQ0cOFADBw7UW2+9pdOnT6thw4Z2lwWgBguqW76rZDQO9DNUCQBUTV5/WSTCJgC79W/fvFzj+7ULNlQJAFRNXh84AcBuQ7uEqkm9sh21bFrPT7dHhRmuCACqFq87pY6awel0yul0Fmp3uVyeLwYoRaCfr2YO7aq4D9eXeGmkWj7SzNu7qm6d2p4rDgCqAAInbJGWlqbExES7ywDK7KaOIZoxJEp/nl/0xd8bB9bRm3d008ArQjxcGQB4PwInbBEeHq7Y2NhC7S6XS0lJSTZUBJSub0SzYvu+HN1L7YMbeLAaAKg6CJywhcPhkMPhKNSekpKiyMhIzxcEVFIAp9EBoFheuWho9erV2rVrV/7jXbt2afXq1TZWBAAAgIryysDZt29fvfTSS/mPp06dqmuvvdbGigAAAFBRXntK3bJKWAoKADbg9qMAUDFeeYQTAAAA1QeBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4a7CzZ89q0qRJateunQICAhQaGqpRo0bp559/trs0AABQjRA4a6izZ8/q+uuv1+TJk5WZmanBgwerZcuWmjVrlrp3767du3fbXSIAAKgmCJw11Isvvqi1a9eqZ8+e2rVrlz7++GOtW7dOr7zyijIyMjRq1Ci7SwQAANUEgbMGys3N1euvvy5JmjlzpurXr5/f99hjj6lLly5avXq1NmzYYFeJAACgGvHKW1vGxsaqQ4cO+Y87dOigPn362FhR9bJmzRqdPHlSbdq0Ubdu3Qr133HHHUpOTtbixYsVHR1tQ4X/dfDgQdWrV8+t2wwLC5Ovb+m7/oEDB3T+/Pni+09lS6cziu7bv086XbfY5zZv3lwBAQGl1nDkyBGdPXu21HEV0aRJkwJ/bBTn2LFjyszMNFJDo0aNdMkll5Q67uTJkzp16pSRGurXr68mTZqUOi4zM1PHjh0zUkNAQICaN29e6rizZ8/qyJEjRmrw9fVVWFhYqePOnz+vAwcOGKlBklq3bl2mcenp6cZqcNdnRGXwGfErPiN+VdbPiHPnzhl5fbewUOO8+uqrliRr2LBhRfYvWbLEkmTddtttHq7MsrZt22ZJMvq1detW6/Tp06V+tWrVylgNS5cuLVMNvXr1MlbDm2++WaYa4uLijNUwfvz4MtUwfvx4YzXExcWVqYY333zTWA29evUqUw1Lly41VkOrVq3KVMPWrVuN1SCpTDWcPn3aaA18Rvz6xWfEr19V5TPi1KlT+b/f8762bdvm8d/jxfHKI5wwa9++fZKkSy+9tMj+vPa8cRV19OhRZWQUfQSwOKmpqZV6TQAA4H0InDVQ3qmPwMDAIvvzTmFX9hTJG2+8oRdeeKFS2wAAAFUfi4ZqIMuyJEk+Pj4l9gMAALgDgbMGatCggSTJ5XIV2Z+VlSVJZZosDgAAUBpOqddArVq1kqRi7yiU1543rqLGjh2rYcOGles5qampuu222yr1ugAAwLv4WJw/rXESEhJ03XXXqU2bNkUu0pkyZYomTpyoiRMnenwOZkpKiiIjI/Mfz58/X23btnXra7jzskgD/vltkX1fjL5GYY24LFJpuOTJr7gs0n9xWaRf8RnxKz4jflWWzwjLsvTdd99pwIAB+W3btm1Tp06djNRUXhzhrIGuueYaNWrUSLt379amTZsKXYtz7ty5kqSbb77ZjvIKCA0NLfMvIHcr9ZfviSyp4a6in9uylVoHFb0oqzzKEkJMa9KkSZk+bE265JJLyvRLx6T69evbPs0kICDAtv8PeXx9fW2vQSp7MDWpLAHdND4jfsVnxK/8/f1tff2SeOUcztzcXG3btk0JCQlauHChEhIStG3bNuXm5tpdWrXg5+encePGSZLGjRtXYC7n9OnTlZycrF69eikmJsauEgEAQDXiNUc4MzIy5HQ6tXTpUq1fv77Iq+UHBASoR48eGjRokOLj49WsWTMbKq0eJkyYoK+++kpr165V27Zt1bt3b6Wnp2vdunVq0qSJZs2aZXeJAACgmrA9cP7000+aOHGiFixYoJycHElS06ZNFR0drcaNG6thw4Y6deqUTpw4oR07digxMVGJiYmaMGGChg4dqsmTJysiIsLmd1H1BAQEKCEhQVOnTtXs2bO1cOFCBQUFKT4+XlOmTFHLli3tLhEAAFQTtgbOP//5z3r77bd14cIFXXvttYqLi1Pfvn112WWXFfucPXv2KCEhQbNnz9Ynn3yiefPm6f7779frr7/uwcqrh7p162ry5MmaPHmy3aUAAIBqzNY5nP/617/0wAMPaN++fVqxYoXuvffeEsOmJF1++eX64x//qK+//lrp6ekaM2aM3nvvPQ9VDJRNdu4Fu0sAAMBr2Bo49+zZo7///e8KDQ2t0PPDwsI0Y8YM7d69282VAaVL+Kn4+8Tf+NYaLdt+2IPVAADgvWwNnCEhIV61HaCslm0/rEcWbim2/0R2ruI+XK/PfyR0AgBg+6KhU6dO6fXXX9fy5cvzL+QbFBSkiIgIRUdHq2/fvurZs6fNVQL/lZVzXg/O36yLpdwy4aIljZ23Wduf7qe6dWp7pjgAALyQrYFzz5496tOnjw4dOqTf3vBo//792rp1qxYsWCDp14t/33fffXrkkUfUqFEju8oFJEnzkw/qmCunTGOPuXI0b8sB3XVl5W4TCgBAVWbrKfUnnnhCBw8e1KhRo5ScnKzDhw9rz549uuWWWyRJd955p1q0aKEDBw5o8uTJatu2bX4IBeyyfGf5bi24YtdRQ5UAAFA12Bo4V61apejoaL3zzjuKjIxUcHCwwsPD1bhxY0nShx9+qJ9//lnff/+97r33Xp06dUp33HGH3nzzTTvLRg13Irt8d7w6nlW2o6EAAFRXtgbOCxcuqG3btqWO69Gjh959911t2rRJbdu21UMPPaQNGzZ4oEKgsKC6dco1vnGgn6FKAACoGmwNnFFRUUpKSirz+I4dO2r58uXy9/fX1KlTDVYGFK9/++blGt+vXbChSgAAqBpsXTQ0duxYxcXF6S9/+Yv+93//t0zPadWqlfr166fVq1cbrg4mOZ1OOZ3OQu0ul8vzxZTT0C6heu6L7WVaONS0np9ujwrzQFUAAHgvWwPnyJEj9dlnn2nixInau3ev/vKXv6h589KPHp0+fVpZWVkeqBCmpKWlKTEx0e4yKiTQz1czh3ZV3IfrS7w0Ui0faebtXbkkEgCgxrP9Opz//ve/1bhxY73xxhv68MMPNXjw4Pzrcf5ebm6uZsyYoYSEBF111VUerhTuFB4ertjY2ELtLperXNMs7HJTxxDNGBKlP88v+uLvjQPr6M07umngFdyUAAAA2wNn7dq19Y9//EPDhg3TxIkT9emnn+b3NWjQQC1atFCDBg2Uk5OjvXv3Kjs7W7Vr19bkyZNtrBqV5XA45HA4CrWnpKQoMjLS8wVVQN+IZsX2fTm6l9oHN/BgNQAAeC/bA2ee2NhYJSYm6qefftK8efO0atUqbdy4UampqfljfH19dcMNN2jSpEm6+uqrbawWKFkAp9EBAMjnNYEzT9u2bTV+/HiNHz9e0q+3vjxx4oR8fHwUFhYmX1+vKxkAAAAl8Pr01qhRI25nCQAAUIXZeh3OHTt2eNV2AAAA4H62Bs7IyEj94Q9/0LZt2yr0/M2bN2vkyJHq3LmzmysDAACAu9gaOJ977jktXrxYUVFR6t69u1555RUlJSUpN7foe1WfO3dO33//vaZOnarOnTsrOjpay5Yt08SJEz1cOQAAAMrK1jmckyZN0gMPPKC//OUv+uCDD/Tkk0/Kx8dHderUUXh4uIKCgtSgQQOdPn1ax48fV3p6us6fPy/LstSoUSM9/PDDeuaZZ9SsWfGXpwEAAIC9bF80FBwcrBkzZuivf/2rPvnkEy1ZskTffvutdu3aVWhsSEiIevfurUGDBmn48OEKCAiwoWIAAACUh+2BM0/dunUVHx+v+Ph4SVJGRoaOHj2qU6dOqVGjRgoODuZIJgAAQBXkNYHz95o1a0bABAAAqAZsXTQEAACA6o/ACQAAAKOqROD89NNPNWzYMD3wwAPasmVLgb5ffvlFl19+uU2VAQAAoDReHzhnz56tkSNHKisrS8nJyfqf//kfffDBB/n9Fy5cUHp6uo0VAgAAoCReu2goz/Tp0/XSSy/piSeekCS9//77Gj16tHx8fHT33XfbXB0AAABK4/WBc9euXRo6dGj+4/j4eF1yySUaOXKkAgIC1KdPHxurQ0U5nU45nc5C7S6Xy/PFAAAAo7w+cAYEBOjEiRMF2gYPHqxZs2YpPj5eM2bMsKkyVEZaWpoSExPtLgMAAHiA1wfOyMhIrVmzRtHR0QXaR44cqTNnzmjs2LE2VYbKCA8PV2xsbKF2l8ulpKQkGyoCAACmeH3gvPvuu7Vy5coi+/70pz/pzJkzev311z1cFSrL4XDI4XAUak9JSVFkZKTnCwIAAMZ4/Sr1e++9V//+97+L7X/ssce0d+9eD1YEAACA8vC6I5w5OTn69NNPtXbtWmVmZqp58+aKjo5Wv3791LhxY7vLAwAAQDl5VeA8cOCA+vXrp507d8qyrPx2Hx8f+fn5KS4uTi+++KKaN29uY5UAAAAoD68KnI888oh27Nihdu3aafTo0QoPD9fJkye1Zs0aLVmyRLNmzdKyZcu0ePFiXXnllXaXCwAAgDLwqsC5YsUKNW/eXOvXr1fDhg3z2++9915dvHhR06ZN0wsvvKBBgwZp06ZNCg0NtbFaAAAAlIVXLRpyuVzq27dvgbCZp1atWho/frxmz56tjIwMTZkyxYYKAQAAUF5eFTibNm2qkydPljhmyJAhio6O1uLFiz1TFAAAACrFqwJn//79lZiYqPT09BLHtWvXTsePH/dQVQAAAKgMrwqc06ZNU0BAgAYNGqRt27YVOy4lJUWXX365BysDAABARXlV4GzevLn+85//aPfu3YqOjta9996rBQsW6OjRozp//rx2796tP/3pT0pOTtbTTz9td7kAAAAoA69apS79elp9zZo1GjNmjN5//3198MEHhcY8+OCD6t+/vw3VAQAAoLy86ghnnujoaK1fv14JCQl6+OGH1aVLF/n6+sqyLFmWpTfeeEOhoaEKCwvTLbfcokmTJmnRokV2lw0AAIAieN0Rzjw+Pj6KjY1VbGyspF9vebl161Zt3LhRmzZt0saNG7V161YtXbpUS5culY+Pjy5cuGBz1QAAAPg9rw2cv+fn56fo6GhFR0fnt128eFE//vijNmzYoM2bN9tXHAAAAIpVZQJnUWrVqqVOnTqpU6dOuueee+wuBwAAAEXwyjmcAAAAqD6q9BFOVF1Op1NOp7NQu8vl8nwxAADAKAInbJGWlqbExES7ywAAAB5A4IQtwsPD869A8Fsul0tJSUk2VAQAAEwhcMIWDodDDoejUHtKSooiIyM9XxAAADCGRUMAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMMrX7gJQMzmdTjmdzkLtLpfL88UAAACjCJywRVpamhITE+0uAwAAeACBE7YIDw9XbGxsoXaXy6WkpCQbKgIAAKYQOGELh8Mhh8NRqD0lJUWRkZGeLwgAABjDoiEAAAAYxRFOoIJaBwXq9NRb7S4DAACvxxFOAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGOVrdwGomZxOp5xOZ6F2l8vl+WIAAIBRBE7YIi0tTYmJiXaXAQAAPIDACVuEh4crNja2ULvL5VJSUpINFQEAAFMInLCFw+GQw+Eo1J6SkqLIyEjPFwQAAIxh0RAAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInAAAAjPK1uwDUTE6nU06ns1C7y+XyfDEAAMAoAidskZaWpsTERLvLAAAAHkDghC3Cw8MVGxtbqN3lcikpKcmGigAAgCkETtjC4XDI4XAUak9JSVFkZKTnCwIAAMawaAgAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYBSBEwAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARhE4AQAAYJSv3QWgZnI6nXI6nYXaXS6X54sBAABGEThhi7S0NCUmJtpdBgAA8AACJ2wRHh6u2NjYQu0ul0tJSUk2VAQAAEwhcMIWDodDDoejUHtKSooiIyM9XxAAADCGRUMAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMIrACQAAAKMInAAAADCKwAkAAACjCJwAAAAwisAJAAAAowicAAAAMMrX7gJQMzmdTjmdzkLtLpfL88UAAACjCJywRVpamhITE+0uAwAAeACBE7YIDw9XbGxsoXaXy6WkpCQbKgIAAKYQOGELh8Mhh8NRqD0lJUWRkZGeLwgAABjDoiEAAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGOVrdwGomZxOp5xOZ6F2l8vl+WIAAIBRBE7YIi0tTYmJiXaXAQAAPIDACVuEh4crNja2ULvL5VJSUpINFQEAAFMInLCFw+GQw+Eo1J6SkqLIyEjPFwQAAIxh0RAAAACMInACAADAKAInAAAAjCJwAgAAwCgCJwAAAIwicAIAAMAoAicAAACMInACAADAKAInJEnHjh3TAw88oNDQUPn7+ys8PFxvvfWW3WUBAIBqgDsNQZmZmerdu7fCwsI0Z84ctW7dWocOHVJubq7dpQEAgGqAwOlBGzZs0IoVK7R+/XqtW7dOBw8elL+/v86ePVvi886ePaupU6dqzpw52rdvnxo3bqwBAwZo8uTJuvTSSytd18svv6ysrCwtWbJE/v7+kn691zkAAIA7EDg9aMqUKVq0aFG5nnP27Fldf/31Wrt2rVq0aKHBgwcrLS1Ns2bN0pIlS/Tdd9+pTZs2lapr3rx56tWrlx599FEtWLBADRs21KBBgzRlyhTVq1evUtsGAAAgcHpQz549FRUVpZiYGMXExCgkJKTU57z44otau3atevbsqeXLl6t+/fqSpOnTp+vxxx/XqFGjlJiYWOA5x48f1/Hjx0vcbsOGDRUcHCxJ2r17t1JTUzVixAgtXrxYBw8e1Lhx43TgwAF9/PHHFXy3AAAAv/KxLMuyu4iaysfHp8RT6rm5uQoODtbJkye1ceNGdevWrUB/VFSUkpOTlZSUpOjo6Pz2559/Xi+88EKJrx0fHy+n0ylJ8vf3V9OmTZWeni5f31//Bpk7d66GDRumI0eO5AdTT0hJSVFkZGT+4++//14dO3b02OsDAFAVWZaljRs36tprr81v27Ztmzp16mRjVf/FEU4vtmbNGp08eVJt2rQpFDYl6Y477lBycrIWL15cIHBOnDhREyZMKHHbtWr99wIFLVq0UHh4eH7YlJS/g6anp3s0cP6eZVnibyIAAErm7b8rCZxebMuWLZKk7t27F9mf1543Lk+tWrUKBMrS9O7dW6tWrdKFCxdUu3ZtSdLOnTslVW7x0NGjR5WRkVGu56SmphZ4fPbsWblcrgrXAAAA7Efg9GL79u2TpGJXoue1542rqCeeeEKffPKJxo0bp0ceeUQHDx7UE088obi4ODVr1qzC233jjTdKPbUPAACqPwKnF8vMzJQkBQYGFtmft4I8b1xFRUVFadmyZRo/fryioqIUEhKi22+/XZMnT67Udt0hMDAwf6EUAAAoXnF5wRsQOMvojjvu0LZt28r1nA8++EA9evSo8Gvmzcfw8fEpsd8drr/+ev3www9u2x4AAEAeAmcZpaWl5c9rLKusrKxKvWaDBg0kqdg5jHnb99YjgGPHjtWwYcPK9ZzU1FTddttt+Y85wgkAQNlwhLMaSEpK8vhrtmrVSpL0888/F9mf1543ztsEBwdXeoW7j49PsUd4AQDAf3nz78uyL2WGx0VFRUmSNm7cWGR/XnuXLl08VhMAAEB5ETi92DXXXKNGjRpp9+7d2rRpU6H+uXPnSpJuvvlmT5cGAABQZgROL+bn56dx48ZJksaNG1dgLuf06dOVnJysXr16KSYmxq4SAQAASsUcTg9aunSppkyZUqAtJydHV111Vf7j5557ToMGDcp/PGHCBH311Vdau3at2rZtq969eys9PV3r1q1TkyZNNGvWLI/VDwAAUBEETg/KyMjQunXrCrRZllWg7fd35gkICFBCQoKmTp2q2bNna+HChQoKClJ8fLymTJmili1beqR2AACAivKxvP3mm6hRUlJSFBkZmf9427Zt+fd1BwAAxfPm36HM4QQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUdzaEl7l3LlzBR6npqbaVAkAAFXL739n/v53qp0InPAq+/fvL/D4tttus6cQAACquP3796t79+52lyGJU+oAAAAwjMAJAAAAo3wsy7LsLgLIc/LkSSUmJuY/njx5sjZu3Kgrr7xSTqczvz01NbXA6faFCxcqIiLCg5VWjMPhUFJSUqH3462vU5ntlOe5ZR1blnEljSmuj/3JM69T0e2U93nsT+VX1falymzLrv2pov3l2Z/OnTtXYGpabGysLrnkklLeoWcwhxNe5ZJLLtHgwYPzH7/66quSpHr16qlTp07FPi8iIqLEfm9Rr169/H9N1uuu16nMdsrz3LKOLcu4ksaU9XXYn8y8TkW3U97nsT+VX1XblyqzLbv2p8r25yltf/KWOZu/xyl1AAAAGEXgBAAAgFEETgAAABhF4AQAAIBRLBqCV3M4HOrbt6/Cw8PtLsUtPPV+3PU6ldlOeZ5b1rFlGVfSGPYne1+notsp7/PYn8qvqu1LldmWXftTZfurOi6LhCopJSVFkZGR+Y+3bdvm9atA4b3Yn+BO7E9wp+qyP3FKHQAAAEYROAEAAGAUgRMAAABGETgBAABgFIETAAAARnFZJFRJzZo106RJkwo8BiqK/QnuxP4Ed6ou+xOXRQIAAIBRnFIHAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQRO1GirV6/W4MGD1bp1a/n4+Oj555+3uyRUEcuXL1d0dLQCAgIUFhamCRMm6MKFC3aXhSqIzyG406xZs3TttdeqWbNmatCggaKjo/XRRx/ZXRaBEzVbZmamOnbsqGnTpikkJMTuclBFbNq0STfffLP69OmjTZs26bXXXtM//vEP/e///q/dpaEK4nMI7vT111/r1ltv1bJly7Rp0yaNHDlSd999tz7++GN7C7MAD0lKSrKmTp1qDRkyxAoNDbUkWf7+/qU+Lzs725o4caLVtm1by9/f32rRooV17733Wvv373drfa1bt7YmTZrk1m3C8zyxn8XFxVndu3cv0DZjxgyrbt261pkzZ9z2XmA/T39u8TlUvdn1e3DgwIHW0KFDK1t+pRA44TGDBw+2JBX4Ku0/WnZ2tnX11VdbkqwWLVpYw4cPt3r06GFJspo1a2alpqa6rT4+6KsHT+xnrVu3tiZMmFCgLTU11ZJkrVq1yu3vCfbx9OcWn0PVm12/B3v27Gndf//97nobFeLrkcOogKSePXsqKipKMTExiomJKdOpoxdffFFr165Vz549tXz5ctWvX1+SNH36dD3++OMaNWqUEhMT88cfP35cx48fL3GbDRs2VHBwcOXeDLyWJ/azQ4cOqUWLFgW2kfc6Bw8edOO7gd08sT+h5rBjf3r//feVlJSkf/zjH257HxVia9xFjaZS/rLLycmxLrnkEkuStXHjxkL9Xbp0sSRZSUlJ+W2TJk0q9Nfj77/i4+OLfD2OLFRPJvYzPz8/a+bMmQXGuVwuS5I1Z84c9xUPr2Nif/otPodqFtP708KFCy1/f3/rvffec1vNFcWiIXitNWvW6OTJk2rTpo26detWqP+OO+6QJC1evDi/beLEicrNzS3x67333vPYe4D3q8h+1qJFCx06dKjAuLzHvz/yiZqlIvsTUJzK7E//+c9/NGLECL311lu69957jddaGgInvNaWLVskSd27dy+yP689b5wk1apVS76+viV+1arFbo//qsh+ds011+jzzz8vMG7ZsmWqW7euoqOjDVWKqqAi+xNQnIruT++8844cDoecTqccDofRGsuKOZzwWvv27ZMkXXrppUX257XnjauIzMxMpaamSpJycnJ0+PBhbd68WX5+furYsWOFt4uqoyL72eOPP66rrrpKjz/+uO677z79+OOPmjhxoh566KH8+VWomSqyP/E5hOJUZH+aPn26nnrqKc2cOVN9+/bV4cOHJUm1a9dWs2bNDFdcPA71wGtlZmZKkgIDA4vsr1evXoFxFZGUlKRu3bqpW7duOnTokP75z3+qW7duuummmyq8TVQtFdnPunfvrsWLFyshIUFdu3bVuHHjNHbsWP3lL38xXzC8WkX2Jz6HUJyK7E+vvfaaLly4oDFjxqhFixb5XzExMeYLLgFHOOG1LMuSJPn4+JTYXxl9+/Z1y3ZQdVV0P7vxxht14403GqsLVVNF9ic+h1CciuxPaWlpJkuqMI5wwms1aNBAkuRyuYrsz8rKkiROYaJS2M/gTuxPcKfqtD8ROOG1WrVqJUn6+eefi+zPa88bB1QE+xncif0J7lSd9icCJ7xWVFSUJGnjxo1F9ue1d+nSxWM1ofphP4M7sT/BnarT/kTghNe65ppr1KhRI+3evVubNm0q1D937lxJ0s033+zp0lCNsJ/Bndif4E7VaX8icMJr+fn5ady4cZKkcePGFZjDMn36dCUnJ6tXr162r7xD1cZ+Bndif4I7Vaf9ycdiaRw8ZOnSpZoyZUr+43Xr1snHx0c9evTIb3vuuec0aNCg/Mdnz55V3759tW7dOrVo0UK9e/dWenq61q1bpyZNmuj7779XRESER98HvBv7GdyJ/QnuVKP3J3vuqImaaNasWaXe53zWrFmFnpeVlWU999xzVps2bSw/Pz+refPmVnx8vLVv3z7Pvwl4PfYzuBP7E9ypJu9PHOEEAACAUczhBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4ATg9VasWKHbbrtNISEh8vPzU5MmTdSxY0f94Q9/0DvvvKOcnBy7S/RqDodDPj4+WrVqld2lFPD888/Lx8cn/6tr1652l2ScO38WjzzySIHvX9++fSu9TcAUX7sLAICSTJo0SZMnT5YkRUZG6pprrlHt2rW1c+dOzZkzR7Nnz9Ytt9yikJAQmyu1T3h4uNLT02VZlt2lVMg111yjiIgItWrVyu5SqpQePXooPj5emZmZmjdvnt3lACXysarqJxSAai8pKUkxMTHy8/PTggULdNNNNxXoP3DggN555x09/PDDCgoKsqlK+5UWOA8dOqRTp06pVatWCgwM9HB1xXv++ef1wgsvaNasWXI4HHaX4xEmfhZpaWm67LLLFBsb63VHsYE8HOEE4LUWLFggSRo+fHihsClJYWFhev755z1cVdXTokULtWjRwu4yIH4WqLmYwwnAa2VkZEiSmjVrVqHnPvHEE2rfvr0CAgIUFBSkgQMHavXq1YXGrlq1Sj4+PnI4HDp06JAcDoeaN2+uunXrqnv37vrggw+KfI1vvvlG48aNU5cuXRQUFKS6deuqQ4cOGj9+vE6ePFni6xw+fFj33XefLr30Uvn6+urvf/+7pF+PgE2bNk2xsbEKCwuTn5+fQkJCNHToUP3www9Fbi89PV2SCsznCw8Pzx9X0rzB/fv3a/To0WrdurX8/f0VHBxc5GtJvx5Jy5srmJ2drfHjx+c/LyIiQi+99JJbT+tblqU5c+Zo5MiRateunerVq6cGDRqoR48eeuONN3Tx4sVCz8mbF+p0OrV+/XrdfPPNatKkiXx8fLR58+b8cd99952GDx+u0NBQ+fv7KywsTDfeeKM+/PDDAtvL+16eP39eU6ZMUUREhOrWrasrrrhCs2bNyh+3cuVKXXvttWrYsKGCgoJ0zz336NixY4XqK+5nER4eLh8fH0nSu+++qy5duqhu3boKCQnR6NGji9yfgKqEI5wAvNall14qSZo3b56eeeaZMgfPHTt26IYbbtCBAwfUpk0b3XTTTTp27JhWrlyp5cuX69///rfi4uIKPe/48eO66qqrdO7cOfXt21cnTpxQQkKC4uPjtXfvXk2aNKnA+CeffFKbN29WZGSkrrvuOp07d04bN27USy+9pCVLluj7779X/fr1C71ORkaGYmJidP78efXq1Utnz57NP726aNEiPf3004qIiFDnzp3VsGFDpaamasGCBVqyZImWLFmi/v37S5JCQkIUHx+vuXPnyuVyKT4+Pv81mjZtWur3aevWrbruuuv0yy+/qEOHDho6dKj27dunBQsWaPHixZo9e7aGDRtW6Hk5OTnq37+/UlJS1KNHD11xxRVKTEzU+PHjdebMGf3f//1fqa9dFufOnVNcXJyCgoLUsWNHde/eXb/88ou+++47Pfjgg1q/fr2cTmeRz129erXuv/9+tWvXTv3799fBgwdVq9avx1j+/ve/67HHHpNlWYqJiVFsbKyOHj2qjRs3aufOnbrrrrsKbW/48OH66quv1LNnT7Vp00aJiYkaNWqUJKlBgwa68847FRUVpX79+mndunX697//rb1792r16tX5QbIsnnrqKc2YMUMxMTEaMGCA1q5dq7fffls//vijEhMTy7UtwKtYAOClUlNTrYCAAEuS1bBhQ+uee+6x3nnnHWvbtm3WxYsXi3zO+fPnrcjISEuSNWPGjALjNm7caDVp0sSqV6+edeTIkfz2hIQES5IlyerXr5+VmZmZ37d+/Xqrfv36Vq1ataxNmzYVeK2lS5dax48fL9B29uxZ6/7777ckWS+88EKBvt++zpAhQ6zs7OxC9ScnJ1tbtmwp1P7FF19Yfn5+Vps2bQq999atW1slfZzHx8dbkqyEhIT8tosXL1qdO3e2JFnPPPNMgW1++umnVq1atawGDRpYhw8fzm/fu3dvfv29e/e2MjIy8vt++OEHy9fX1woMDLTOnDlTbC2/NWnSJEuSNWvWrCL7c3NzrXnz5lnnzp0r0H706FHryiuvtCRZiYmJRW5TkvXSSy8V2mZiYqLl4+NjNWzYsMD3w7Is69y5c9YXX3xRoC1vW5GRkdb+/fvz21euXGlJslq0aGE1adLEmjt3bn7fqVOnrE6dOlmSrJUrVxbYXlE/C8v678+wRYsWBfazjIwMKyIiwpJkff3110V+n/J+LrGxsUX2A96AwAnAq3355ZdWaGho/i/+vK/g4GDrySeftE6cOFFg/IIFCyxJ1p133lnk9v7+979bkqxXXnklvy0vCPr4+Fg7duwo9Jynn37akmTdf//9Zao5KyvL8vX1tbp3716gPe91/P39rZ9//rlM2/qtP/zhD5YkKzk5uUB7RQJnXmC67LLLrPPnzxd6ztChQy1J1tSpU/Pb8oJNrVq1rJ07dxZ6zi233FJkmCpOaYGzJCtWrLAkWY899liR24yMjCzyj5KBAwdakqy//e1vZXqdvP3t98HRsiyre/fuliTrnnvuKdQ3Y8YMS5I1adKkAu2lBc5333230LZeeeWVIreVh8CJqoBT6gC8Wv/+/bVnzx599tlnWrFihdatW6dt27bp6NGjevnll7VgwQKtXbs2/3T7ihUrJEm33XZbkdvr1auXJBU5R7Fbt25q3759ofY777xTL730ktasWVOo78CBA1q8eLF27Nih06dP588r9PPz008//VRkDd27d1dYWFix7/ncuXP64osvtH79emVkZORfZ3Tr1q2SpJ9++kmdO3cu9vll8c0330iSRowYodq1axfqv/vuuzV//nx98803Gj9+fIG+8PBwtWvXrtBz8toOHTpUqdp+b/PmzVq+fLnS09OVlZUly7J05swZSSr2e3zLLbcUOv184cKF/LmT999/f5lf38/PT7GxsYXaL7/8cm3cuFH9+vUr1NemTRtJ5f9e5E2X+C1T31fAkwicALyev7+/hg0blj+fMCMjQ06nU88//7xSU1P17LPP6p133pH068IW6dcgNWLEiGK3+csvvxRqa926dZFj8xbgHDx4sED79OnT9cwzz5T7wvMlXW9y69atuvXWW/PfR1HywlZl5L2X3y4u+q3i3rP037m1v5c3X/XcuXOVrk/6da6ow+HQnDlzih1T3PeiqO/xL7/8ouzsbAUHB6tBgwZlriMkJCR//udv1atXT5KK/OMhr6+834uivrfu/r4CdiBwAqhymjVrpieffFJ169bVn//8Zy1dujS/78KFC5KkgQMHKjg4uNhtdOjQoVI1fP/993r88cfVqFEjvf322+rbt69CQkLk7+8vSQoNDS32iFRAQECR7ZZlafjw4UpLS9OYMWM0ZswYXX755apfv758fHz07LPPaurUqW5dCV7aIpSi+j21cGX69OmaM2eOIiMj9fLLL6t79+4KCgpSnTp1tGvXLrVv377Y70Vx32Op/PVX5HtUUSwKQnVF4ARQZeXdyu+3RyvzjhCNGTNGt956a7m2l3d5oeLaQ0ND89vyrhH6f//3fwVWh0tSdna2Dh8+XK7Xln5dXb9jxw5deeWVevPNNwv179mzp9zbLE7ee9m7d2+R/Xnv2c5rRuZ9j/NC529V5HvRtGlT1a1bV0eOHNGZM2fKdZQTQOVwHU4AXqu0I3m7d++WVDAI3nDDDZKkhQsXlvv1Nm/erF27dhVqzzule8011+S3nThxQpLUsmXLQuM//fTTCh2FzNtmUadVT5w4kT8/9ff8/PwkSefPny/za/Xu3VuS9PHHH+cfFf6tvOtR5o2zQ0nf408++aTc26tdu3b+Hyl5UzAAeAaBE4DXeu655/TUU08VeRTup59+0uOPPy5JGjp0aH77HXfcoQ4dOsjpdOqll15Sbm5ugefl5ORo/vz5+QtwfuvixYt66KGHlJWVld+2YcMGzZw5U7Vq1dLo0aPz2/MWcvzrX/8q8Brbt2/X008/XaH3GxERoVq1amnlypUFFsOcPXtWY8aM0fHjx4t8Xl7g3rlzZ5lfq2/fvurcubP27t2riRMnFgjICxcu1Pz581W/fn1bbzmZ9z1+6623CrTPnTu32Ivxl+bpp5+Wj4+PpkyZkr9wKk9ubq6+/PLLihULoEQETgBeKzMzUy+//LLatGmjK664QkOHDtWIESPUs2dPdejQQbt371Z0dHSBC7L7+vpqwYIFatmyZf6dcAYMGKDhw4erZ8+eat68uW6//fb8o6O/dfPNN+vHH39UmzZtNGLECA0YMEA9e/bUmTNn9Oyzzyo6Ojp/7L333quQkBAtXrxY7du314gRI9SvXz917dpVvXv3LnYBUkmCg4P1xz/+UadPn1ZUVJRuvvlmDRs2TOHh4Vq5cmWx4S9v6sD111+vO++8U/fdd1+hleW/5+Pjo48++khNmjTRiy++qE6dOikuLk69evXSkCFDVKtWLb333nsKCQkp9/twl6eeekq1a9fW+PHjdeWVVyouLk4xMTEaNmyYHn300QptMzY2VtOmTdPJkyfVp08f/c///I/i4uJ0ww03KDQ0tMAfFQDch8AJwGtNmDBBH3zwgeLi4uTr66vExETNnz9fqampio2N1cyZM7V27Vo1atSowPM6dOigzZs36/nnn1dwcLDWrFmjpUuXKiMjQ3369NGsWbPyT73/VpMmTfTdd9/phhtuUEJCglatWqWOHTtq1qxZmjJlSqGxP/zwg+Li4pSTk6PPPvtMBw4c0OTJk0tcVV2aN998U6+88oouu+wyff311/rmm290ww03KCkpqdgQ+9BDD2nChAmqX7++5s2bp3/961/6z3/+U+prde7cWRs3btSf/vQnZWZmau7cudq5c6duu+02ffvtt0XeZciT+vTpozVr1ui6667Tnj17tGTJEvn5+WnevHl68MEHK7zdJ554QqtWrdLgwYO1d+9ezZ07Vzt27FB0dLRefPFFN74DAHl8LHcudwSAKmjVqlW69tprFR8fX+ytEuF+zz//vF544QXNmjXL1lP3VV1aWpouu+wyxcbGFrpHO+AtWKUOALDVu+++q1WrVqlVq1aaPHmy3eVUGbNnz9by5cuVmZlpdylAqQicAABbffvtt/r2228VFRVF4CyH9evX6/3337e7DKBMOKUOoMbjlDoAmEXgBAAAgFGsUgcAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFEETgAAABhF4AQAAIBRBE4AAAAYReAEAACAUQROAAAAGEXgBAAAgFH/D38cJ0gwRM5qAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqUAAAJjCAYAAAA1aWibAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAC4jAAAuIwF4pT92AABMFUlEQVR4nO3de3xT9f3H8XdKablXbqUUhSJFGRSKFJwoUEBBEAVEQWVTAnOKys+hqKBDQJgwceJtMm+zmTqYDgTGZQ5UCGPIpRQsdIIWaLnLpYI2tLTA+f3BIxklvTfJN6mv5+PBw0e+53u++ZzkmL5zzvme2CzLsgQAAAAYFGa6AAAAAIBQCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADAu3HQBQEWdPHlSTqfT8/iKK65QZGSkwYoAAAgNZ86c0f79+z2Pk5OTddlll5kr6CKEUoQcp9OpoUOHmi4DAICQt3jxYg0ZMsR0GZI4fQ8AAIAgQCgFAACAcZy+R8i54oorijxevHix4uPjDVUDAEDoyMzMLHIJ3KV/U00ilCLkXDqpKT4+Xh06dDBUDQAAoSuYJgpz+h4AAADGEUoBAABgHKEUAAAAxhFKAQAAYByhFAAAAMYRSgEAAGAcoRQAAADGEUoBAABgHKEU5XLixAk99NBDio2NVWRkpOLi4vTmm2+aLgsAAFQT/KITypSbm6uePXuqRYsWmj9/vlq1aqXDhw+rsLDQdGkAAKCaIJQGmS1btmjVqlXatGmTNm7cqEOHDikyMlL5+fmlrpefn69Zs2Zp/vz52rdvnxo1aqQBAwZo+vTpuvzyy6tU04svvqjTp09r2bJlnp8ji4uLq9KYAAAAFyOUBpkZM2ZoyZIlFVonPz9fN954o9avX6/mzZtryJAhysrKUkpKipYtW6Yvv/xSbdq0qXRNCxcuVI8ePfTYY49p0aJFatCggQYNGqQZM2aobt26lR4XAADAjVAaZLp3767ExER169ZN3bp1U0xMTJnrzJw5U+vXr1f37t21cuVK1atXT5I0Z84cTZgwQWPGjJHT6fT0z8nJUU5OTqljNmjQQNHR0ZKk3bt3KzMzU3fddZeWLl2qQ4cOady4cTp48KA++uijKmwtAADABTbLsizTRaBkNput1NP3hYWFio6O1smTJ5WWlqZrrrmmyPLExESlp6crNTVVSUlJkqRp06bpueeeK/V5R40aJYfDIUmKjIxUkyZNlJ2drfDwC99jFixYoOHDh+u7777zhNdAycjIUEJCgufxjh071KFDh4DWAABAKArmv6EcKQ1x69at08mTJ9WmTRuvQCpJd955p9LT07V06VJPKJ0yZYomT55c6rhhYf+7MUPz5s0VFxfnCaSSPDtwdnZ2wEPppSzLEt+tAAAoWzD/vSSUhrivvvpKktSlS5dil7vb3f2kC4Hz4tBZlp49e2rNmjU6d+6catSoIUnatWuXpKpPeDp69KiOHTtWoXUyMzOLPD59+rRyc3OrVAcAAD8Fp0+fNl1CiQilIW7fvn2SVOIMe3e7u19lPPHEE/r44481btw4jR8/XocOHdITTzyhkSNHqmnTppUeV5Lmzp1b5qUEAACg+iOUhjj3EcI6deoUu9w9O74qRxITExO1YsUKTZo0SYmJiYqJidEdd9yh6dOnV3pMX+JIKQAA5cORUviN+9oQm81W6vKquvHGG7V582afjAUAAHApQmmIq1+/viTJ5XIVu9z9jch9m6hg8/DDD2v48OEVWiczM1NDhw71PK5Vqxb3SwUAoAzBPMlJIpSGvJYtW0qSDhw4UOxyd7u7X7CJjo6u8ux9m81W4pFiAAAQGso/BRtBKTExUZKUlpZW7HJ3e6dOnQJWEwAAQEURSkPcDTfcoKioKO3evVtbt271Wr5gwQJJ0q233hro0gAAAMqNUBriIiIiNG7cOEnSuHHjilxbOmfOHKWnp6tHjx7q1q2bqRIBAADKxDWlQWb58uWaMWNGkbaCggJdd911nsfPPvusBg0a5Hk8efJkffbZZ1q/fr3atm2rnj17Kjs7Wxs3blTjxo2VkpISsPoBAAAqg1AaZI4dO6aNGzcWabMsq0jbpb+AVKtWLa1evVqzZs3SvHnztHjxYjVs2FCjRo3SjBkzdMUVVwSkdgAAgMqyWcF+fwDgEhkZGUpISPA83rBhg9q3b2+wIgAAgp9lWUpLS1OfPn08bTt27FCHDh0MVvU/XFMKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADAu3HQBQEkcDoccDodXu8vlCnwxAADArwilCFpZWVlyOp2mywAAAAFAKEXQiouLU3Jysle7y+VSamqqgYoAAIC/EEoRtOx2u+x2u1d7RkaGEhISAl8QAADwGyY6AQAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAuHDTBQAlcTgccjgcXu0ulyvwxQAAAL8ilCJoZWVlyel0mi4DAAAEAKEUQSsuLk7Jycle7S6XS6mpqQYqAgAA/kIoRdCy2+2y2+1e7RkZGUpISAh8QQAAwG+Y6AQAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOPCTRcAlMThcMjhcHi1u1yuwBcDAAD8ilCKoJWVlSWn02m6DAAAEACEUgStuLg4JScne7W7XC6lpqYaqAgAAPgLoRRBy263y263e7VnZGQoISEh8AUBAAC/YaITAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMCzddAFASh8Mhh8Ph1e5yuQJfDAAA8CtCKYJWVlaWnE6n6TIAAEAAEEoRtOLi4pScnOzV7nK5lJqaaqAiAADgL4RSBC273S673e7VnpGRoYSEhMAXBAAA/IaJTgAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMC7cdAFASRwOhxwOh1e7y+UKfDEAAMCvCKUIWllZWXI6nabLAAAAAUAoRdCKi4tTcnKyV7vL5VJqaqqBigAAgL8QShG07Ha77Ha7V3tGRoYSEhICXxAAAPAbJjoBAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMC4cNMFACVxOBxyOBxe7S6XK/DFAAAAvyKUImhlZWXJ6XSaLgMAAAQAoRRBKy4uTsnJyV7tLpdLqampBioCAAD+QihF0LLb7bLb7V7tGRkZSkhICHxBAADAb5joBAAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAONCKpS6XC59/fXXpssAAACAjwV9KD18+LDeeust3XLLLWrSpIkSEhLUunVrjR8/Xl988YXOnTtnukQAAABUUVD+olNGRoaWLFmiJUuWaMuWLTp//rxq1aqlm266SfHx8frnP/+p1157Ta+//rqioqI0aNAgDRkyRAMGDFC9evVMlw8AAIAKCqpQOmHCBC1ZskR79+6VZVlq3LixfvnLX2rIkCG6+eabVadOHUnSyy+/rF27dmnx4sVasmSJ5s+fr3nz5qlmzZrq06ePnnzySfXt29fw1gAAAKC8giqUvvzyy7ryyis1fvx4DRkyRD169FBYWPFXGFx99dWaOHGiJk6cqKNHj+of//iHlixZos8//1wdO3YklAIAAISQoAql6enpSkhIqPB60dHRuv/++3X//fcrLy9PR44c8UN1AAAA8JegmuhUmUB6qdq1a6t169Y+qAYAAACBElShFAAAAD9NxkNp37599eOPP1Z4vRo1avihGgAAAJhgPJSuWbNGeXl5FV7Psiw/VAMAAAATgmqiU0XYbDbTJcDPHA6HHA6HV7vL5Qp8MQAAwK+CIpQSMFGcrKwsOZ1O02UAAIAACIpQOnz4cF133XXq2rWrunbtqri4ONMlIQjExcUpOTnZq93lcik1NdVARQAAwF+CIpRGRETogw8+0OzZs2Wz2dSoUSMlJSV5QmrXrl11+eWXl7h+3759tWTJEtWvXz+AVcPf7Ha77Ha7V3tGRoZPbh8GAACCR1CE0g8//FDR0dE6dOiQUlNTtXnzZqWmpuqtt97SzJkzZbPZdO7cuSLrXDzRyT1ZilAKAAAQmoyH0ouvJ42NjdXgwYM1ePBgT9vevXs5VQsAAFDNGQ+lZd3aqXXr1uX6hSYmSwEAAIQu46F09erVuuyyy6o8DpOlAAAAQpfxUPrzn/9cERERVR6nqpOlAAAAYI7xX3S67bbb9MEHH0iSNm/erI4dO6phw4bq0aOH3nvvvXKP8+GHH+rgwYM6cOCAFi1apLFjx8pms+mtt97SsGHD1KpVK39tAgAAAKrI+JHSLVu2aO7cuZKk0aNHq2/fvmrUqJFSU1P10EMPacmSJVq4cKHCw0sulclSAAAAoc14KM3Ly1O9evW0ZcsWPf744xozZoxnWXp6um677Tb98Y9/1Pjx40scw1eTpQAAAGCG8dP3MTEx2r9/v5xOp26//fYiyzp16qRXXnlFKSkpXutdfHTUV5OlAAAAYIbxI6WDBw/WmDFjdPz4cXXo0EE333xzkeUJCQnas2dPqWMU91OUAAAACB3Gj5TOnDlTffr00eDBg5Wdna2XX35Z33//vWd5SkoKs+YBAACqOeNHSuvWravXX3/d8/i3v/2tmjVrptjYWOXl5en48eN65ZVXzBUIAAAAvzMeSi/1/PPP695779Unn3yinJwcXX/99Ro2bJhXv7ImNwEAACB0BF0olaR27drpmWeeKbXP+fPnA1QNAAAA/M34NaVlycnJ0dNPP61u3bqpTZs2SkpK0muvvWa6LAAAAPhQUB4pdTt06JCuv/567d+/X5ZlqX79+srKylJiYqKnz/r16+VyudSrVy9FRkYarBYAAACVFdRHSp955hnt27dPY8aM0YkTJ3Tq1Cmva0nz8/M1YMAAzZs3z1CVAAAAqKqgPlL66aefqm3btnr77beL3Cz/Yn379lV0dLSWLVum0aNHB7hC+JPD4ZDD4fBqd7lcgS8GAAD4VVCH0pMnTyo5ObnEQOoWHx+v9PT0AFWFQMnKypLT6TRdBgAACICgDqWxsbE6ePBgmf1atGhBKK2G4uLiiv21LpfLpdTUVAMVAQAAfwnqUNq3b1/95S9/0Y4dO5SQkFBiv9zcXBUUFASwMgSC3W6X3W73as/IyCh1fwAAAKEnqCc6PfbYY7LZbBoxYoT27dtXbJ+8vDxt3rxZLVq0CHB1AAAA8JWgDqUdOnTQyy+/rF27dqlz585eN9TPy8vT2LFjdfz4cfXv399QlQAAAKiqoD59L0mPPPKIYmNjNXbsWP3+97+XJH300Udau3at9u/fr8LCQjVu3LjMX4ACAABA8ArqI6Vut99+u/bs2aM//OEP6tmzp2rWrKk9e/YoPDxcgwcP1rp163T55ZebLhMAAACVFPRHSt3q1q2rxx9/XI8//rgkqbCwUDVr1jRcFQAAAHwhJI6UFodACgAAUH2EbCgFAABA9UEoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYFzK3hCrJmDFjVLNmTd1333264YYbTJcDAACASgj5I6UOh0PvvvuuevXqpQEDBmjTpk2mSwIAAEAFhfyR0qlTp+r8+fP66quvtHbtWnXv3l3nzp0zXRYAAAAqoFqEUjfLsrR161aD1QAAAKAyQv70/cVsNpu6dOliugwAAABUULUKpQAAAAhNQX/6PicnRy+++KI+++wz5eTk6LLLLtOoUaP06KOPmi4NfuZwOORwOLzaXS5X4IsBAAB+FdSh9NChQ7r++uu1f/9+WZal+vXrKysrS4mJiZ4+69evl8vlUq9evRQZGWmwWvhaVlaWnE6n6TIAAEAABHUofeaZZ7Rv3z796le/0uzZs9WwYUOFhRW94iA/P18DBgzQu+++q9GjRxuqFP4QFxen5ORkr3aXy6XU1FQDFQEAAH8J6lD66aefqm3btnr77bdls9mK7dO3b19FR0dr2bJlhNJqxm63y263e7VnZGQoISEh8AUBAAC/CeqJTidPnlTnzp1LDKRu8fHxSk9PD1BVAAAA8LWgDqWxsbE6ePBgmf1atGiho0ePBqAiAAAA+ENQh9K+fftq48aN2rFjR6n9cnNzVVBQEKCqAAAA4GtBHUofe+wx2Ww2jRgxQvv27Su2T15enjZv3qwWLVoEuDoAAAD4SlCH0g4dOujll1/Wrl271LlzZz3zzDNFlufl5Wns2LE6fvy4+vfvb6hKAAAAVFVQz76XpEceeUSxsbEaO3asfv/730uSPvroI61du1b79+9XYWGhGjdu7BVYAQAAEDqCPpRK0u23367+/fvrrbfe0pIlS/TVV19pz549ql27tgYOHKgXXnhBl19+uekyEcJOF5zVJ+mHtHLXd/o+r1ANa9dU/6ubaVinWNWJCIn/TYIKrycAoKJslmVZpouojMLCQtWsWdN0GTDg0vuUbtiwQe3bt6/0eCv+e0SPfLJNJ1zek+Ua143QG8M665b2MZUeP9j5OkD68/X0R9gNlQAdKnUCCF6WZSktLU19+vTxtO3YsUMdOnQwWNX/hGwoxU+XL0Ppiv8e0cgPN+l8Kf8XhNmk+fdeq4E/q3iQ8nWQCPYA6c/X0x9h118BOtjfJ3/VGUpjhlKtoTImgh+htAL++c9/6sYbb1RERESlx8jOzlZOTo6uueYaH1aGYOKrUHq64Kw6zP6s2D/0l2pcN0L/ndhPtWvWKPf4/gh8wRwg/fl6+iPs+itAB/v75K86Q2nMUKo1VMaUQic8h8qY/kAorYCwsDDVq1dPAwYM0JAhQ3TLLbeoYcOGZa6XlpamJUuWaMmSJdq+fbsmTJig2bNnB6Di6i8/P1+zZs3S/PnztW/fPjVq1EgDBgzQ9OnTjV3H66tQ+mHqPj28cFu5+8+9o7N+2bVlufr6OkiEQoD01+vpj1r9FaBD4X3yR52hNGYo1RoqY7rHDYXwHCpjSv4JusEeSoPqllCvvfaafv7zn2vJkiW699571axZM91444167bXXtHfvXk+/s2fPatWqVRo3bpxatmypbt26acaMGTp+/LgefPBBjRw50uBWVB/5+fm68cYbNX36dOXm5mrIkCG64oorlJKSoi5dumj37t2mS6ySlbu+q1D/Vd+U71fDThec1SOfbCv1Q1+SzlvSwwu3Ka/wXEDHk6RP0g+VK+hI0glXgRZ+VfYvq/nr9fRHrf4YM1TeJ3/UGSpjhlKtoTKm9L+gW9K+esJVoJEfbtI/vz5SrvF+6mO6x+0w+zM9vHCbFu84LOfu41q847AeXrhNHWZ/phX/rdh4oSKoQum4ceO0atUqHT16VB9++KGGDh2q1NRUjR8/XvHx8UpMTNQdd9yhJk2aaMCAAZo7d66ioqL09NNPa+PGjTpw4IDmzp2rzp07m96UamHmzJlav369unfvrm+++UYfffSRNm7cqJdeeknHjh3TmDFjTJdYJd/nFVaof87p8oUDXweJUAmQ/no9/VGrP8YMlfcpVEK+P8b017g/5TFDJTyHypiS/4JuKAiqUOoWFRWlkSNH6uOPP9bx48e1fPly/frXv9bx48f1j3/8Q4mJiXrxxRf17bffavv27frd736nbt26mS67WiksLNTrr78uSXrjjTdUr149z7LHH39cnTp10tq1a7VlyxZTJVZZw9oVu3tDozrlu9bZ10EiVAKkv15Pf9TqjzFD5X0KlZDvryPvoVJrqIwZKuE5VMb0V9ANFcFz9W0JatasqYEDB2rgwIF688039cMPP6hBgwamy6r21q1bp5MnT6pNmzbFThq78847lZ6erqVLlyopKclAhf9z6NAh1a1bt8LrdWkSrsUV6N/vqmivtoMHD+rs2bNF2g5//2OF6jiU84Oys7O92ps1a6ZatWpVOJiUNN7FIqyKjVlWgDxx4kSFX89rGtcos05JqlvBT6lIq9Dn21+3RtmX3gfL+5Sfn6/vvis5fFRl/wwPDy/2J539se0VrbO4QF7cc/jq/88WLVooPPzCzhms2+/23XffKT8/32fbfrEVGYcqNObirXvVs2np/z8t2ppVoTGX7zhQ5vXpFQ3k/qhz1TdHNbRdI504caLkMXfmVCjovvVFum5v10iSVKtWLTVr1qzM9c6cOVO+gg0I+lB6KQJpYHz11VeSpC5duhS73N3u7mfSsGHDKrdieIR03ytS7bL3qSZ1I3RHovcf45tvvln79u27pPH/pPifl7uMjc7P1fGZoV7ty5cvV8+ePSt8BLKk8Ypo10u68YFyj1lcIL/Yb3/7W837eEG5X0+dPqUpd4/WlHNl/zG/ZcLvJZV/Ut3Kd15UxwlrS+9Uwe0/sXW1NPqGUvsEy/u0efNmDRo0qOROVdg/W7ZsqR07dnj18cu2V7DO4r44dezYscrjllTr9u3b1apVK0nBu/1uo0eP1rp163y27Re7+imHKhIlVq5dr44Tbiu905CnpcvLP/FmR2aWpOtL7VPRLw7+qDPndIGWLFmihx56qOROFXyPpry7QFP+deGsZo8ePbRixYoy1/n666/LPX6gBeXpe5jnDlolzbB3t3sFsgo6evSoMjIyKvQvMzOzSs/pcbZA+uJd6fz5UruF2aQ37uhc/ttBZVcwqJfRv//VZX/zrfDzZ26Q8n4o13AlBXIv5Xw9df68tPpdqRyBVJJ+Fn5KjeuW8zZxp09J335Zdr8KbL9On1KrgrKPBoXM++Tj/VPy07ZXsM6yvjhVdtxqtf1+2PbynEUoIj/XN30uUttW9insin5x8Eed5bpkqVa9svtUpX+QI5SiWLm5F/5nq1OnTrHL3afL3f0qa+7cuUpISKjQv6FDh1bpOYvISpP++XKJf/ib1I2o+I3eKxh4ygpRwzrF+j6UlTNA2mRVLJCX8Xrq9KkLy7O2lm88STVtlt4Y1llhttL72WSVP+xWMECHq4x+uvA+1atRdj9JPn+fKvTFycf7p+SnfdQfgbyC41a77ffDtneof7bMPkX4IZBfGV72ZQkh88WhgkG3wv2DHKEUxXLfvtZmKz4JBNHtbasua6v0l99In78tZW6UDmSo/5VRmntHZ2VM7FfxX3Ly8RHDOhHh5QplFT0CWZ4AObZlXsW3v5jXU5kbLzx+f3yFAqnbLe1jNP/ea0v8w9+kboSG1d5XsbF9HKDrRITrly3yfX6k2F1n+Nm8YhdX+IuTH45o+2Uf9deZjJ/y9vth27tGnTV+JuNn4afK7DasU6xq28oZoE1+cfDD0exQQihFserXry9JcrlcxS4/ffq0JBWZlR/SzhVKO9dK/3pdWjJLL/WP0y+7tqzQLzgV4ePAU1Yoq8wRyAt1lh4gOzWo5MzOS15P/ev1C4/LG8SKMfBnMfrvxH6ae0dn3d4xVsltmuj2jrGeLw9ty3G0xIuPA3Rig3M+P1LsrrPbfz8scdsr/sXB90e0/bKP+uNMRjnGDZXtj4qwVXz7fbztEWEq35kMy39nMmrayj5IUiciXLfUOujbL40hciYjlITcRCcERsuWF2YyHjhwoNjl7nZ3v8p6+OGHNXz48Aqtk5mZ6dtT+P7iDjxtu0utEi9c+5Ofe+Gb7bdfVjiguUPZwq8OatU3R5VzukCN6kRox/K/6tsV71c+8LkD5M4yJgcFgdo1a+iXXVuW+5e1ysXX2+/j992thnXOt9vuhzrd++hbX6RryrsLfLPtxdR5+8B+6ndVtO5IbFGFL47+2/6L/x/d/O/VOv31lz7dfnedKbOf0k0VDeRljFmZOt2B/OGFxf+qUZO6EWr/3XqtrUwg7/vr4idPnj51ITxmbZV0c7mGbBv+YwXGrFidkQPH6UxYpNfiJnUj9MYdnSt+JmPgeCmslOOGFT3jEiKC6mdGS7J27VrFxMToqquukiR98803OnLkiHr16mW4supr9erV6tu3r9q0aVPsxKIZM2ZoypQpmjJlip577rmA1nbpz4x+8sknatu2rU+f4+LbvZSmuFtC+Yr7llBlcd/uxR8aN25crqPhJ06cqPL1xSWJiorSZZddVma/kydP6tSpsk/jVUa9evXUuHHjMvvl5uaWeruXqijv7V7KuiVUVZR0S6hLnT17VgcPlu9m9pXhnvVelvLccqyy+Iy44OLPiLzCc15fmt1fHk7/cLJSnxH5Z8/rn5kntW7fDzp15pyiImuoR8sGGhh/mWqFXwhtFf2MKM+YFRUeWVurD+QXu+0Xf3Eq72fEmqxTmrJmv77P9z5b1ahWuJ7rfbl6x0UVaS/PZ4RlWfryyy81YMAAT1sw/cxoSITSsLAwjR49Wn/+858lXbi9xfvvv69z56rXTWODSUFBgaKjo3Xq1CmlpaV53as0MTFR6enp2rRpU8B/uODSULphwwa1b98+oDUAAOBPpYX8yp4hsCxLaWlp6tOnj6ctmEJpyJy+D4HsXK1ERERo3Lhxev755zVu3DitXLnSM+N+zpw5Sk9PV48ePfglLQAA/MAvlysFuZAJpQi8yZMn67PPPtP69evVtm1b9ezZU9nZ2dq4caMaN26slJQU0yUCAIBqgtn3KFGtWrW0evVqPfvss6pTp44WL16srKwsjRo1Slu3blV8fLzpEgEAQDXBkVKUqnbt2po+fbqmT59uuhQAAFCNcaQUAAAAxhFKAQAAYByhFAAAAMYRSgEAAGAcoRQAAADGEUoBAABgHKEUAAAAxoVEKE1OTla7du08j9u1a6devXoZrAgAAAC+FBI3z1+9enWRxxMnTtTEiRMNVQMAAABfC4kjpQAAAKjeCKUAAAAwLiRO3+OnyeFwyOFweLW7XK7AFwMAAPyKUIqglZWVJafTaboMAAAQAIRSBK24uDglJyd7tbtcLqWmphqoCAAA+AuhFEHLbrfLbrd7tWdkZCghISHwBQEAAL9hohMAAACMC4kjpYWFhdq1a5eOHTumU6dOKSoqSk2bNtXVV1+tmjVrmi4PAAAAVRS0ofTYsWNyOBxavny5Nm3apDNnznj1qVWrlq699loNGjRIo0aNUtOmTQ1UCgAAgKoKulD67bffasqUKVq0aJEKCgokSU2aNFFSUpIaNWqkBg0a6NSpU/r++++1c+dOOZ1OOZ1OTZ48WcOGDdP06dMVHx9veCsAAABQEUEVSv/v//5Pb7/9ts6dO6c+ffpo5MiR6t27t1q3bl3iOnv27NHq1as1b948ffzxx1q4cKEeeOABvf766wGsHAAAAFURVBOd/vznP+uhhx7Svn37tGrVKo0ePbrUQCpJV155pX71q1/p888/V3Z2tsaOHav33nsvQBUDAADAF4LqSOmePXsUExNT6fVbtGihV199VU8//bQPqwIAAIC/BdWR0qoEUn+MAwAAgMAIqiOlknTq1Cm9/vrrWrlypbKzsyVJDRs2VHx8vJKSktS7d291797dcJUAAADwpaAKpXv27FGvXr10+PBhWZblad+/f7+2b9+uRYsWSZJiY2N1//33a/z48YqKijJVLgAAAHwkqE7fP/HEEzp06JDGjBmj9PR0HTlyRHv27NFtt90mSbrnnnvUvHlzHTx4UNOnT1fbtm09QRUAAAChK6hC6Zo1a5SUlKR33nlHCQkJio6OVlxcnBo1aiRJ+vDDD3XgwAFt2LBBo0eP1qlTp3TnnXfqT3/6k+HKAQAAUBVBFUrPnTuntm3bltnv2muv1bvvvqutW7eqbdu2evTRR7Vly5YAVAgAAAB/CKpQmpiYqNTU1HL3b9++vVauXKnIyEjNmjXLj5UBAADAn4IqlD788MPKzMzU888/X+51WrZsqX79+mnt2rV+rAwAAAD+FFSh9O6779bdd9+tKVOm6P7779d3331XrvV++OEHnT592s/VAQAAwF+C6pZQkvTBBx+oUaNGmjt3rj788EMNGTLEc7/SSxUWFurVV1/V6tWrdd111wW4UgAAAPhK0IXSGjVq6I9//KOGDx+uKVOm6O9//7tnWf369dW8eXPVr19fBQUF2rt3r/Ly8lSjRg1Nnz7dYNXwB4fDIYfD4dXucrkCXwwAAPCroAulbsnJyXI6nfr222+1cOFCrVmzRmlpacrMzPT0CQ8P10033aSpU6fq+uuvN1gt/CErK0tOp9N0GQAAIACCNpS6tW3bVpMmTdKkSZMkXfgZ0u+//142m00tWrRQeHjQbwIqKS4uTsnJyV7tLperQndpAAAAwS/kEl1UVBQ/LfoTYbfbZbfbvdozMjKUkJAQ+IIAAIDfBNXs+507dwbVOAAAAAiMoAqlCQkJ+sUvfqEdO3ZUav1t27bp7rvvVseOHX1cGQAAAPwpqELps88+q6VLlyoxMVFdunTRSy+9pNTUVBUWFhbb/8yZM9qwYYNmzZqljh07KikpSStWrNCUKVMCXDkAAACqIqiuKZ06daoeeughPf/883r//ff15JNPymazqWbNmoqLi1PDhg1Vv359/fDDD8rJyVF2drbOnj0ry7IUFRWl3/zmN3r66afVtGlT05sCAACACgiqUCpJ0dHRevXVV/X73/9eH3/8sZYtW6b//Oc/+uabb7z6xsTEqGfPnho0aJBGjBihWrVqGagYAAAAVRV0odStdu3aGjVqlEaNGiVJOnbsmI4ePapTp04pKipK0dHRHBEFAACoJoI2lF6qadOmhFAAAIBqKqgmOgEAAOCniVAKAAAA40IylO7bt0+WZXkef/755xowYIDatWunfv36acWKFQarAwAAQEWFZCht3bq1jh07Jkn68ssvdfPNNysvL0+33Xabzp8/r8GDB8vpdBquEgAAAOUVMhOdLnbxUdIZM2Zo5MiRev/99z1tDz30kH73u98pOTnZRHkAAACooJA8Unqx7du368EHHyzSNnbsWG3fvt1QRQAAAKiokA2lNpvN89+oqKgiy6KionTq1CkTZQEAAKASQjaUdu3aVVdeeaWOHz+unTt3FlmWlZXFPU0BAABCSEheUzp16tQij+vXr1/k8bJly9SjR49AlgQAAIAqqBah9FJ/+MMfAlQJAAAAfCHoQ2lBQYH+/ve/a/369crNzVWzZs2UlJSkfv36qVGjRqbLgx85HA45HA6vdpfLFfhiAACAXwV1KD148KD69eunXbt2FbkNlM1mU0REhEaOHKmZM2eqWbNmBquEv2RlZXG/WQAAfiKCOpSOHz9eO3fu1FVXXaUHH3xQcXFxOnnypNatW6dly5YpJSVFK1as0NKlS9W1a1fT5cLH4uLiir3XrMvlUmpqqoGKAACAv9isiw9BBpnLLrtMtWvX1q5du9SgQYMiy86fP6/Zs2frueeeU4MGDbR161bFxsYaqhSBlJGRoYSEBM/jDRs2qH379gYrAgAg+FmWpbS0NPXp08fTtmPHDnXo0MFgVf8T1LeEcrlc6t27t1cglaSwsDBNmjRJ8+bN07FjxzRjxgwDFQIAAMAXgjqUNmnSRCdPniy1z+23366kpCQtXbo0MEUBAADA54I6lPbv319Op1PZ2dml9rvqqquUk5MToKoAAADga0EdSmfPnq1atWpp0KBB2rFjR4n9MjIydOWVVwawMgAAAPhSUIfSZs2a6W9/+5t2796tpKQkjR49WosWLdLRo0d19uxZ7d69W7/+9a+Vnp6uiRMnmi4XAAAAlRTUt4SSLpzCX7duncaOHau//OUvev/99736PPLII+rfv7+B6gAAAOALQX2k1C0pKUmbNm3S6tWr9Zvf/EadOnVSeHi4LMuSZVmaO3euYmNj1aJFC912222aOnWqlixZYrpsAAAAlFPQHyl1s9lsSk5O9txMvaCgQNu3b1daWpq2bt2qtLQ0bd++XcuXL9fy5ctls9l07tw5w1UDAACgPEImlF4qIiJCSUlJSkpK8rSdP39eX3/9tbZs2aJt27aZKw4AAAAVErKhtDhhYWHq0KGDOnTooPvuu890OQAAACinkLimFAAAANUboRQAAADGEUoBAABgHKEUAAAAxhFKAQAAYByhFAAAAMYRSgEAAGBctbpPKaoXh8Mhh8Ph1e5yuQJfDAAA8CtCKYJWVlaWnE6n6TIAAEAAEEoRtOLi4pScnOzV7nK5lJqaaqAiAADgL4RSBC273S673e7VnpGRoYSEhMAXBAAA/IaJTgAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMC7cdAFASRwOhxwOh1e7y+UKfDEAAMCvCKUIWllZWXI6nabLAAAAAUAoRdCKi4tTcnKyV7vL5VJqaqqBigAAgL8QShG07Ha77Ha7V3tGRoYSEhICXxAAAPAbJjoBAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMC4cNMFACVxOBxyOBxe7S6XK/DFAAAAvyKUImhlZWXJ6XSaLgMAAAQAoRRBKy4uTsnJyV7tLpdLqampBioCAAD+QihF0LLb7bLb7V7tGRkZSkhICHxBAADAb5joBAAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA48JNFwCUxOFwyOFweLW7XK7AFwMAAPyKUIqglZWVJafTaboMAAAQAIRSBK24uDglJyd7tbtcLqWmphqoCAAA+AuhFEHLbrfLbrd7tWdkZCghISHwBQEAAL9hohMAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwLN10AUBKHwyGHw+HV7nK5Al8MAADwK0IpglZWVpacTqfpMgAAQAAQShG04uLilJyc7NXucrmUmppqoCIAAOAvhFIELbvdLrvd7tWekZGhhISEwBcEAAD8holOAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwLtx0AUBJHA6HHA6HV7vL5Qp8MQAAwK8IpQhaWVlZcjqdpssAAAABQChF0IqLi1NycrJXu8vlUmpqqoGKAACAvxBKEbTsdrvsdrtXe0ZGhhISEgJfEAAA8BsmOgEAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpyu3EiRN66KGHFBsbq8jISMXFxenNN980XRYAAKgG+JlRlEtubq569uypFi1aaP78+WrVqpUOHz6swsJC06UBAIBqgFAaZLZs2aJVq1Zp06ZN2rhxow4dOqTIyEjl5+eXul5+fr5mzZql+fPna9++fWrUqJEGDBig6dOn6/LLL69yXS+++KJOnz6tZcuWKTIyUpIUFxdX5XEBAAAkQmnQmTFjhpYsWVKhdfLz83XjjTdq/fr1at68uYYMGaKsrCylpKRo2bJl+vLLL9WmTZsq1bVw4UL16NFDjz32mBYtWqQGDRpo0KBBmjFjhurWrVulsQEAAAilQaZ79+5KTExUt27d1K1bN8XExJS5zsyZM7V+/Xp1795dK1euVL169SRJc+bM0YQJEzRmzBg5nc4i6+Tk5CgnJ6fUcRs0aKDo6GhJ0u7du5WZmam77rpLS5cu1aFDhzRu3DgdPHhQH330USW3FgAA4AKbZVmW6SJQMpvNVurp+8LCQkVHR+vkyZNKS0vTNddcU2R5YmKi0tPTlZqaqqSkJE/7tGnT9Nxzz5X63KNGjZLD4ZAkRUZGqkmTJsrOzlZ4+IXvMgsWLNDw4cP13XffecJrIGRkZCghIcHzeMOGDWrfvn3Anh8AgFBkWZbS0tLUp08fT9uOHTvUoUMHg1X9D0dKQ9y6det08uRJtWnTxiuQStKdd96p9PR0LV26tEgonTJliiZPnlzq2GFh/7s5Q/PmzRUXF+cJpJI8O3F2dnZAQ+mlLMsS360AAChdsP+tJJSGuK+++kqS1KVLl2KXu9vd/dzCwsKKhM6y9OzZU2vWrNG5c+dUo0YNSdKuXbskVW3C09GjR3Xs2LEKrZOZmVnkcX5+vlwuV6VrAAAA5hFKQ9y+ffskqcQZ9u52d7/KeuKJJ/Txxx9r3LhxGj9+vA4dOqQnnnhCI0eOVNOmTSs97ty5c8u8jAAAAFR/hNIQl5ubK0mqU6dOscvdM+Pd/SorMTFRK1as0KRJk5SYmKiYmBjdcccdmj59epXG9YU6dep4JncBAICSlZQXggGh1IfuvPNO7dixo0LrvP/++7r22msr/Zzu60NsNlupy33hxhtv1ObNm302HgAAgBuh1IeysrI811mW1+nTp6v0nPXr15ekEq+pdI8frEcSH374YQ0fPrxC62RmZmro0KGexxwpBQCgfDhS+hORmpoa8Ods2bKlJOnAgQPFLne3u/sFm+jo6CrP3LfZbCUeKQYAAP8TzH8vyz/9GkEpMTFRkpSWllbscnd7p06dAlYTAABARRFKQ9wNN9ygqKgo7d69W1u3bvVavmDBAknSrbfeGujSAAAAyo1QGuIiIiI0btw4SdK4ceOKXFs6Z84cpaenq0ePHurWrZupEgEAAMrENaVBZvny5ZoxY0aRtoKCAl133XWex88++6wGDRrkeTx58mR99tlnWr9+vdq2bauePXsqOztbGzduVOPGjZWSkhKw+gEAACqDUBpkjh07po0bNxZpsyyrSNulv4BUq1YtrV69WrNmzdK8efO0ePFiNWzYUKNGjdKMGTN0xRVXBKR2AACAyrJZwf5DqMAlMjIylJCQ4Hm8Y8cOdejQwWBFAACEhmD+G8o1pQAAADCOUAoAAADjCKUAAAAwjlAKAAAA4wilAAAAMI5QCgAAAOMIpQAAADCOUAoAAADjCKUAAAAwjp8ZRcg5c+ZMkceZmZmGKgEAILRc+jfz0r+pJhFKEXL2799f5PHQoUPNFAIAQIjbv3+/unTpYroMSZy+BwAAQBAglAIAAMA4m2VZlukigIo4efKknE6n5/H06dOVlpamrl27yuFweNozMzOLnNpfvHix4uPjA1hp5djtdqWmpnptT7A+T2XHqeh65e1fnn6l9SlpGftTYJ6H/Sl4hdq+VJWxTO1PlV1ekf3pzJkzRS6DS05O1mWXXVbGFgYG15Qi5Fx22WUaMmSI5/HLL78sSapbt646dOhQ4nrx8fGlLg8WdevW9fzXn/X66nkqO05F1ytv//L0K61PeZ+H/ck/z8P+FLxCbV+qylim9qeqLncra38KlmtIL8XpewAAABhHKAUAAIBxhFIAAAAYRygFAACAcUx0Qsiz2+3q3bu34uLiTJfiE4HaHl89T2XHqeh65e1fnn6l9WF/Mvs87E/BK9T2paqMZWp/quryUMctoVBtZWRkKCEhwfN4x44dQT+7FcGL/Qm+xP4EX6ou+xOn7wEAAGAcoRQAAADGEUoBAABgHKEUAAAAxhFKAQAAYBy3hEK11bRpU02dOrXIY6Cy2J/gS+xP8KXqsj9xSygAAAAYx+l7AAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBcqwdu1aDRkyRK1atZLNZtO0adNMl4QQsHLlSiUlJalWrVpq0aKFJk+erHPnzpkuCyGKzyH4SkpKivr06aOmTZuqfv36SkpK0l//+lfTZUkilAJlys3NVfv27TV79mzFxMSYLgchYOvWrbr11lvVq1cvbd26Va+99pr++Mc/6re//a3p0hCi+ByCr3z++ecaPHiwVqxYoa1bt+ruu+/Wvffeq48++sh0aZIFBJHU1FRr1qxZ1u23327FxsZakqzIyMgy18vLy7OmTJlitW3b1oqMjLSaN29ujR492tq/f79P62vVqpU1depUn46JwArEPjZy5EirS5cuRdpeffVVq3bt2taPP/7os21BcAj05xafQ9WXqb+BAwcOtIYNG1bV8quMUIqgMmTIEEtSkX9l/Q+Zl5dnXX/99ZYkq3nz5taIESOsa6+91pJkNW3a1MrMzPRZffwxCH2B2MdatWplTZ48uUhbZmamJclas2aNz7cJZgX6c4vPoerL1N/A7t27Ww888ICvNqPSwgNyOBYop+7duysxMVHdunVTt27dynWaaubMmVq/fr26d++ulStXql69epKkOXPmaMKECRozZoycTqenf05OjnJyckods0GDBoqOjq7axiAoBWIfO3z4sJo3b15kDPfzHDp0yIdbg2AQiH0KPw0m9qW//OUvSk1N1R//+EefbUelmU7FQGlUxrfEgoIC67LLLrMkWWlpaV7LO3XqZEmyUlNTPW1Tp071+iZ66b9Ro0YV+3wcoah+/LGPRUREWG+88UaRfi6Xy5JkzZ8/33fFIyj5Y5+6GJ9DPx3+3pcWL15sRUZGWu+9957Paq4KJjohpK1bt04nT55UmzZtdM0113gtv/POOyVJS5cu9bRNmTJFhYWFpf577733ArYNCG6V2ceaN2+uw4cPF+nnfnzpEVT89FRmnwKKU5V96W9/+5vuuusuvfnmmxo9erTfay0PQilC2ldffSVJ6tKlS7HL3e3ufpIUFham8PDwUv+FhfG/Bi6ozD52ww036J///GeRfitWrFDt2rWVlJTkp0oRKiqzTwHFqey+9M4778hut8vhcMhut/u1xorgmlKEtH379kmSLr/88mKXu9vd/SojNzdXmZmZkqSCggIdOXJE27ZtU0REhNq3b1/pcREaKrOPTZgwQdddd50mTJig+++/X19//bWmTJmiRx991HO9F366KrNP8TmE4lRmX5ozZ46eeuopvfHGG+rdu7eOHDkiSapRo4aaNm3q54pLx+EghLTc3FxJUp06dYpdXrdu3SL9KiM1NVXXXHONrrnmGh0+fFhvvfWWrrnmGt1yyy2VHhOhozL7WJcuXbR06VKtXr1anTt31rhx4/Twww/r+eef93/BCHqV2af4HEJxKrMvvfbaazp37pzGjh2r5s2be/5169bN/wWXgSOlCGmWZUmSbDZbqcuronfv3j4ZB6GpsvvYzTffrJtvvtlvdSF0VWaf4nMIxanMvpSVleXPkqqEI6UIafXr15ckuVyuYpefPn1akjhlikpjH4OvsU/BV6rbvkQoRUhr2bKlJOnAgQPFLne3u/sBFcU+Bl9jn4KvVLd9iVCKkJaYmChJSktLK3a5u71Tp04BqwnVC/sYfI19Cr5S3fYlQilC2g033KCoqCjt3r1bW7du9Vq+YMECSdKtt94a6NJQTbCPwdfYp+Ar1W1fIpQipEVERGjcuHGSpHHjxhW5rmbOnDlKT09Xjx49gmJWIUIT+xh8jX0KvlLd9iWbxXQ+BJHly5drxowZnscbN26UzWbTtdde62l79tlnNWjQIM/j/Px89e7dWxs3blTz5s3Vs2dPZWdna+PGjWrcuLE2bNig+Pj4gG4Hghf7GHyNfQq+8pPfl8z8uilQvJSUlDJ/lz4lJcVrvdOnT1vPPvus1aZNGysiIsJq1qyZNWrUKGvfvn2B3wgENfYx+Br7FHzlp74vcaQUAAAAxnFNKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QikAAACMI5QCAADAOEIpAAAAjCOUAgAAwDhCKQAAAIwjlAIAAMA4QimAamHVqlUaOnSoYmJiFBERocaNG6t9+/b6xS9+oXfeeUcFBQWmSwxqdrtdNptNa9asMV1KEdOmTZPNZvP869y5s+mS/M6X78X48eOLvH69e/eu8piAv4SbLgAAqmrq1KmaPn26JCkhIUE33HCDatSooV27dmn+/PmaN2+ebrvtNsXExBiu1Jy4uDhlZ2fLsizTpVTKDTfcoPj4eLVs2dJ0KSHl2muv1ahRo5Sbm6uFCxeaLgcolc0K1U8oAJCUmpqqbt26KSIiQosWLdItt9xSZPnBgwf1zjvv6De/+Y0aNmxoqErzygqlhw8f1qlTp9SyZUvVqVMnwNWVbNq0aXruueeUkpIiu91uupyA8Md7kZWVpdatWys5OTnojoYDbhwpBRDSFi1aJEkaMWKEVyCVpBYtWmjatGkBrir0NG/eXM2bNzddBsR7gZ8urikFENKOHTsmSWratGml1n3iiSd09dVXq1atWmrYsKEGDhyotWvXevVds2aNbDab7Ha7Dh8+LLvdrmbNmql27drq0qWL3n///WKf49///rfGjRunTp06qWHDhqpdu7batWunSZMm6eTJk6U+z5EjR3T//ffr8ssvV3h4uF555RVJF46kzZ49W8nJyWrRooUiIiIUExOjYcOGafPmzcWOl52dLUlFri+Mi4vz9CvtOsb9+/frwQcfVKtWrRQZGano6Ohin0u6cETOfe1iXl6eJk2a5FkvPj5eL7zwgk8vIbAsS/Pnz9fdd9+tq666SnXr1lX9+vV17bXXau7cuTp//rzXOu7rVB0OhzZt2qRbb71VjRs3ls1m07Zt2zz9vvzyS40YMUKxsbGKjIxUixYtdPPNN+vDDz8sMp77tTx79qxmzJih+Ph41a5dWz/72c+UkpLi6ffFF1+oT58+atCggRo2bKj77rtPJ06c8KqvpPciLi5ONptNkvTuu++qU6dOql27tmJiYvTggw8Wuz8BoYQjpQBC2uWXXy5JWrhwoZ5++ulyh9OdO3fqpptu0sGDB9WmTRvdcsstOnHihL744gutXLlSH3zwgUaOHOm1Xk5Ojq677jqdOXNGvXv31vfff6/Vq1dr1KhR2rt3r6ZOnVqk/5NPPqlt27YpISFBffv21ZkzZ5SWlqYXXnhBy5Yt04YNG1SvXj2v5zl27Ji6deums2fPqkePHsrPz/ecyl2yZIkmTpyo+Ph4dezYUQ0aNFBmZqYWLVqkZcuWadmyZerfv78kKSYmRqNGjdKCBQvkcrk0atQoz3M0adKkzNdp+/bt6tu3r44fP6527dpp2LBh2rdvnxYtWqSlS5dq3rx5Gj58uNd6BQUF6t+/vzIyMnTttdfqZz/7mZxOpyZNmqQff/xRv/vd78p87vI4c+aMRo4cqYYNG6p9+/bq0qWLjh8/ri+//FKPPPKINm3aJIfDUey6a9eu1QMPPKCrrrpK/fv316FDhxQWduFYzSuvvKLHH39clmWpW7duSk5O1tGjR5WWlqZdu3bpl7/8pdd4I0aM0Geffabu3burTZs2cjqdGjNmjCSpfv36uueee5SYmKh+/fpp48aN+uCDD7R3716tXbvWEzbL46mnntKrr76qbt26acCAAVq/fr3efvttff3113I6nRUaCwgqFgCEsMzMTKtWrVqWJKtBgwbWfffdZ73zzjvWjh07rPPnzxe7ztmzZ62EhARLkvXqq68W6ZeWlmY1btzYqlu3rvXdd9952levXm1JsiRZ/fr1s3Jzcz3LNm3aZNWrV88KCwuztm7dWuS5li9fbuXk5BRpy8/Ptx544AFLkvXcc88VWXbx89x+++1WXl6eV/3p6enWV1995dX+6aefWhEREVabNm28tr1Vq1ZWaR/5o0aNsiRZq1ev9rSdP3/e6tixoyXJevrpp4uM+fe//90KCwuz6tevbx05csTTvnfvXk/9PXv2tI4dO+ZZtnnzZis8PNyqU6eO9eOPP5ZYy8WmTp1qSbJSUlKKXV5YWGgtXLjQOnPmTJH2o0ePWl27drUkWU6ns9gxJVkvvPCC15hOp9Oy2WxWgwYNirwelmVZZ86csT799NMibe6xEhISrP3793vav/jiC0uS1bx5c6tx48bWggULPMtOnTpldejQwZJkffHFF0XGK+69sKz/vYfNmzcvsp8dO3bMio+PtyRZn3/+ebGvk/t9SU5OLnY5EAwIpQBC3r/+9S8rNjbWEw7c/6Kjo60nn3zS+v7774v0X7RokSXJuueee4od75VXXrEkWS+99JKnzR0WbTabtXPnTq91Jk6caEmyHnjggXLVfPr0aSs8PNzq0qVLkXb380RGRloHDhwo11gX+8UvfmFJstLT04u0VyaUukNV69atrbNnz3qtM2zYMEuSNWvWLE+bO/yEhYVZu3bt8lrntttuKzZwlaSsUFqaVatWWZKsxx9/vNgxExISiv3iMnDgQEuS9Yc//KFcz+Pe3y4Nl5ZlWV26dLEkWffdd5/XsldffdWSZE2dOrVIe1mh9N133/Ua66WXXip2LDdCKUIBp+8BhLz+/ftrz549+sc//qFVq1Zp48aN2rFjh44ePaoXX3xRixYt0vr16z2n9letWiVJGjp0aLHj9ejRQ5KKvWbymmuu0dVXX+3Vfs899+iFF17QunXrvJYdPHhQS5cu1c6dO/XDDz94rnOMiIjQt99+W2wNXbp0UYsWLUrc5jNnzujTTz/Vpk2bdOzYMc99WLdv3y5J+vbbb9WxY8cS1y+Pf//735Kku+66SzVq1PBafu+99+qTTz7Rv//9b02aNKnIsri4OF111VVe67jbDh8+XKXaLrVt2zatXLlS2dnZOn36tCzL0o8//ihJJb7Gt912m9ep7nPnznmu5XzggQfK/fwRERFKTk72ar/yyiuVlpamfv36eS1r06aNpIq/Fu5LMy7mr9cVCCRCKYBqITIyUsOHD/dc33js2DE5HA5NmzZNmZmZeuaZZ/TOO+9IujAZR7oQtu66664Sxzx+/LhXW6tWrYrt6540dOjQoSLtc+bM0dNPP13hm/eXdj/O7du3a/DgwZ7tKI47kFWFe1sunhB1sZK2Wfrftb6Xcl8/e+bMmSrXJ124dtVut2v+/Pkl9inptSjuNT5+/Ljy8vIUHR2t+vXrl7uOmJgYz/WoF6tbt64kFfsFw72soq9Fca+tr19XwARCKYBqqWnTpnryySdVu3Zt/d///Z+WL1/uWXbu3DlJ0sCBAxUdHV3iGO3atatSDRs2bNCECRMUFRWlt99+W71791ZMTIwiIyMlSbGxsSUe2apVq1ax7ZZlacSIEcrKytLYsWM1duxYXXnllapXr55sNpueeeYZzZo1y6cz3MuaOFPc8kBNtpkzZ47mz5+vhIQEvfjii+rSpYsaNmyomjVr6ptvvtHVV19d4mtR0mssVbz+yrxGlcVEJlRXhFIA1Zr7ZxUvPurpPtI0duxYDR48uELjuW+tVFJ7bGysp819D9Xf/e53RWa9S1JeXp6OHDlSoeeWLtw1YOfOneratav+9Kc/eS3fs2dPhccsiXtb9u7dW+xy9zabvKem+zV2B9OLVea1aNKkiWrXrq3vvvtOP/74Y4WOlgKoGu5TCiCklXVEcPfu3ZKKhsWbbrpJkrR48eIKP9+2bdv0zTffeLW7Tx/fcMMNnrbvv/9eknTFFVd49f/73/9eqaOZ7jGLO4X7/fffe66XvVRERIQk6ezZs+V+rp49e0qSPvroI8/R5Yu579fp7mdCaa/xxx9/XOHxatSo4fki477cA0BgEEoBhLRnn31WTz31VLFH87799ltNmDBBkjRs2DBP+5133ql27drJ4XDohRdeUGFhYZH1CgoK9Mknn3gmDV3s/PnzevTRR3X69GlP25YtW/TGG28oLCxMDz74oKfdPfnkz3/+c5Hn+O9//6uJEydWanvj4+MVFhamL774osgEnvz8fI0dO1Y5OTnFrucO5bt27Sr3c/Xu3VsdO3bU3r17NWXKlCIhevHixfrkk09Ur149oz//6X6N33zzzSLtCxYsKPEHDcoyceJE2Ww2zZgxwzPZy62wsFD/+te/KlcsgFIRSgGEtNzcXL344otq06aNfvazn2nYsGG666671L17d7Vr1067d+9WUlJSkZvah4eHa9GiRbriiis8vzg0YMAAjRgxQt27d1ezZs10xx13eI6yXuzWW2/V119/rTZt2uiuu+7SgAED1L17d/3444965plnlJSU5Ok7evRoxcTEaOnSpbr66qt11113qV+/furcubN69uxZ4qSp0kRHR+tXv/qVfvjhByUmJurWW2/V8OHDFRcXpy+++KLEgOi+TOHGG2/UPffco/vvv99rxvylbDab/vrXv6px48aaOXOmOnTooJEjR6pHjx66/fbbFRYWpvfee08xMTEV3g5feeqpp1SjRg1NmjRJXbt21ciRI9WtWzcNHz5cjz32WKXGTE5O1uzZs3Xy5En16tVLP//5zzVy5EjddNNNio2NLfLFA4DvEEoBhLTJkyfr/fff18iRIxUeHi6n06lPPvlEmZmZSk5O1htvvKH169crKiqqyHrt2rXTtm3bNG3aNEVHR2vdunVavny5jh07pl69eiklJcVzmv9ijRs31pdffqmbbrpJq1ev1po1a9S+fXulpKRoxowZXn03b96skSNHqqCgQP/4xz908OBBTZ8+vdTZ4mX505/+pJdeekmtW7fW559/rn//+9+66aablJqaWmLQffTRRzV58mTVq1dPCxcu1J///Gf97W9/K/O5OnbsqLS0NP36179Wbm6uFixYoF27dmno0KH6z3/+U+yvOQVSr169tG7dOvXt21d79uzRsmXLFBERoYULF+qRRx6p9LhPPPGE1qxZoyFDhmjv3r1asGCBdu7cqaSkJM2cOdOHWwDAzWb5coomAFRTa9asUZ8+fTRq1KgSf7YSvjdt2jQ999xzSklJMXqZQKjLyspS69atlZyc7LkPKxBsmH0PAAh67777rtasWaOWLVtq+vTppssJGfPmzdPKlSuVm5truhSgTIRSAEDQ+89//qP//Oc/SkxMJJRWwKZNm/SXv/zFdBlAuXD6HgDKgdP3AOBfhFIAAAAYx+x7AAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAYRygFAACAcYRSAAAAGEcoBQAAgHGEUgAAABhHKAUAAIBxhFIAAAAY9/9PY6hZVeWB3QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "produceResults = atool.produce(processResults, band=f\"{band}\", skymap=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3453cd0-de55-4469-add6-344e82922f54",
   "metadata": {},
   "source": [
    "> **Figure 5** *This figure displays six plots of the `rho` statistics using `analysis_tools`. \n",
    "For other possible configuration options, you can refer to \n",
    "[the documentation](https://pipelines.lsst.io/v/daily/py-api/lsst.analysis.tools.actions.plot.XYPlot.html#lsst.analysis.tools.actions.plot.XYPlot). \n",
    "The vertical axis of each plot displays the specific `rho` statistic, and the horizontal axis represents the separation in arcminutes, ranging from approximately 0.1 to 100 arcminutes on a logarithmic scale.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2229b46-2a92-4596-8021-837afb6f844d",
   "metadata": {},
   "source": [
    "As explained in [Jarvis et al. 2021](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract), `rho1` (ρ1), `rho3` (ρ3), and `rho4` (ρ4) represent direct systematic errors in `xi+` (ξ+) with leading coefficients of order unity. `rho2` (ρ2) and `rho5` (ρ5) describe the extent of \"PSF leakage\" that occurs during the shear measurement process.\n",
    "\n",
    "The DC2 area is relatively small and does not exhibit significant PSF variations. The `rho` statistics obtained in the previous examples (for the `i` band, considering that `rho` statistics can vary with different bands) are relatively small and well-behaved. For comparison, you can refer to Figure 26 of the [HSC Y3 shape catalog](https://ui.adsabs.harvard.edu/abs/2022PASJ...74..421L/abstract) and Figure 12 of the [DES Y3 shape catalog analyses](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract), which display `rho` statistics obtained from on-sky data from their respective galaxy surveys (HSC Survey and DES). These figures also include the requirements that each `rho` statistic should satisfy (e.g., Eq. 37 of [Li et al. 2022](https://ui.adsabs.harvard.edu/abs/2022PASJ...74..421L/abstract)) to ensure that there are no significant PSF modeling systematic errors that would impact the scientific goals related to cosmic shear."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22b3ff6f-07cb-41f5-b884-f4ca9d623c24",
   "metadata": {},
   "source": [
    "## 6. Exercises for the learner\n",
    "\n",
    "* a) Calculate the PSF ellipticity using the definition based on the second moments, as described in section 7 of [Jarvis et al. 2021](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract). Create plots similar to those in section 3 to visualize the PSF ellipticity variation across the image.\n",
    "\n",
    "* b) Modify the query in section 2.1 to retrieve both point sources and extended sources. Create a size-magnitude diagram using the definition of size from section 2.1 (trace radius). Identify the region in the diagram where the size is constant, representing likely stars during the star-galaxy separation process. Compare your results with Figure 3 in [Jarvis et al. 2021](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract).\n",
    "\n",
    "* a) Modify the query in section 2.1 to retrieve the required catalog fields according to the input schema for the `RhoStatistics` of `analysis_tools`. Calculate the `rho` statistics for a different band, such as the `g` band. Note that chromatic effects, including Differential Chromatic Refraction (DCR) and wavelength-dependent seeing, have a larger impact in the bluer bands. Use the `rho` statistics as a diagnostic tool to assess whether observations in these bluer bands should be included in weak lensing analyses (refer to the discussion in section 7.4 of [Jarvis et al. 2021](https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.1282J/abstract))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac51203b-7d22-4a1f-8355-33981b48afb8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "LSST",
   "language": "python",
   "name": "lsst"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  },
  "toc-autonumbering": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}