From 5673b0b7f3e4662ead2aa985d6febd26f93ba968 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Sun, 3 May 2020 16:28:02 +0800 Subject: [PATCH 01/43] Update Quantities notebook Upate author name in name list Update ipynb file metadata Revert name change Clear notebook output --- tutorials/notebooks/quantities/quantities.ipynb | 13 ++++--------- tutorials/notebooks/quantities/requirements.txt | 2 +- 2 files changed, 5 insertions(+), 10 deletions(-) diff --git a/tutorials/notebooks/quantities/quantities.ipynb b/tutorials/notebooks/quantities/quantities.ipynb index 95e7f12f8..41577dc99 100755 --- a/tutorials/notebooks/quantities/quantities.ipynb +++ b/tutorials/notebooks/quantities/quantities.ipynb @@ -368,7 +368,7 @@ "metadata": {}, "outputs": [], "source": [ - "np.log10(M / u.Msun)" + "np.log10(M.to(u.Msun).value)" ] }, { @@ -1093,11 +1093,6 @@ "name": "", "published": true }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, "language_info": { "codemirror_mode": { "name": "ipython", @@ -1108,9 +1103,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.7.6" } }, "nbformat": 4, - "nbformat_minor": 2 -} + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/tutorials/notebooks/quantities/requirements.txt b/tutorials/notebooks/quantities/requirements.txt index 8feb54034..1bbb40886 100644 --- a/tutorials/notebooks/quantities/requirements.txt +++ b/tutorials/notebooks/quantities/requirements.txt @@ -1,3 +1,3 @@ numpy -matplotlib==3.0.2 +matplotlib==3.1.3 astropy From 5cab0adc8d8a38a336eb8ab7e9f9805f05105ef0 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Mon, 18 May 2020 12:56:14 -0400 Subject: [PATCH 02/43] pin sphinx version --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 709ff7feb..b37fdeaee 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -14,7 +14,7 @@ pip-run: &pip-install python3 -m venv venv . venv/bin/activate pip install -r pip-requirements.txt --progress-bar off - pip install --progress-bar off sphinx pytest + pip install --progress-bar off sphinx>=2.0,<3.0 pytest pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 jobs: From 234dfa23eb383a6a13c5c28e64ecf471d6e4b69d Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Mon, 18 May 2020 12:57:25 -0400 Subject: [PATCH 03/43] use to_value --- tutorials/notebooks/quantities/quantities.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tutorials/notebooks/quantities/quantities.ipynb b/tutorials/notebooks/quantities/quantities.ipynb index 41577dc99..0ecebd46c 100755 --- a/tutorials/notebooks/quantities/quantities.ipynb +++ b/tutorials/notebooks/quantities/quantities.ipynb @@ -368,7 +368,7 @@ "metadata": {}, "outputs": [], "source": [ - "np.log10(M.to(u.Msun).value)" + "np.log10(M.to_value(u.Msun))" ] }, { From fe36fd472f6486b062d1096804032072aaf5e356 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Mon, 18 May 2020 13:02:31 -0400 Subject: [PATCH 04/43] fix pin --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index b37fdeaee..ea386b17f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -14,7 +14,7 @@ pip-run: &pip-install python3 -m venv venv . venv/bin/activate pip install -r pip-requirements.txt --progress-bar off - pip install --progress-bar off sphinx>=2.0,<3.0 pytest + pip install --progress-bar off sphinx<3.0 pytest pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 jobs: From 49c9aac33bb82234bd88fc6933ce90d70f79f66b Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Mon, 18 May 2020 13:10:17 -0400 Subject: [PATCH 05/43] pin again --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index ea386b17f..0acb18c71 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -14,7 +14,7 @@ pip-run: &pip-install python3 -m venv venv . venv/bin/activate pip install -r pip-requirements.txt --progress-bar off - pip install --progress-bar off sphinx<3.0 pytest + pip install --progress-bar off "sphinx>=2.0,<3.0" pytest pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 jobs: From 387ecded4d65e58eee4c9df95711c9a8fd9da1b6 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Wed, 22 Jul 2020 22:49:02 +0800 Subject: [PATCH 06/43] Update contributing doc to add uploading data files to Zenodo info --- CONTRIBUTING.rst | 29 ++++++++++++++++++++++++++--- pip-requirements.txt | 3 ++- 2 files changed, 28 insertions(+), 4 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 98d0c03f7..725d84e01 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -211,7 +211,10 @@ If your tutorial includes large data files (where large means >~ 1 MB), we don't want to include them in the ``astropy/astropy-tutorials`` git repository, as that will drastically slow down cloning the repository. Instead, we encourage use of the `astropy.utils.download_files` function, and will host data files on -the ``_ server. To do this, use the following +the ``_ server by opening a PR at the +``_ repository, or to use Zenodo to host the data files +if the file concerned is larger than 10 MB. +To do the former, use the following procedure: * When writing your tutorial, include the files in your tutorial's directory @@ -241,10 +244,30 @@ procedure: If you do this, the only change necessary when merging your notebook will be to set ``tutorialpath`` to ``'http://data.astropy.org/tutorials/My-tutorial-name/'``. +For larger data files that are bigger than 10 MB in size, we recommend hosting with Zenodo. Using Zenodo +to host large data files is very straightforward and involves potentially far less steps. To use +this approach do the following: + +* You will need to sign up for an account with Zenodo before you can upload a file there. + +* After a Zenodo account has been properly set up, be sure to log in and do a new upload. Follow +the Zenodo instructions and complete all the required fields as the bare minimum in order to have +the data file(s) uploaded to their records. Once this is done you will have a link to share the data. + +* With the link which has the format ``https://zenodo.org/api/records/:id``, and the HTTP GET request +needed to retrieve the record using the Python package ``requests`` is as below:: + + import requests + r = requests.get("https://zenodo.org/api/records/1234) + +Basically to use the output you simply need to add the following lines to your Jupyter notebook:: + + with open('./some-data-file.fits', 'wb') as f: + f.write(r.content) + If you need information or help with: -* previewing how the rendered Jupyter notebooks will look on the tutorial - webpage +* previewing how the rendered Jupyter notebooks will look on the tutorial webpage * marking a cell with an intentional / expected error please see the :ref:`dev-page`. diff --git a/pip-requirements.txt b/pip-requirements.txt index 9d5791ed7..0255ca360 100644 --- a/pip-requirements.txt +++ b/pip-requirements.txt @@ -7,7 +7,8 @@ jupyter>=1.0 scipy>=1.0 notebook>=5.7.2 aplpy -spectral-cube +git+https://github.com/radio-astro-tools/spectral-cube.git#egg=spectral-cube +git+https://github.com/radio-astro-tools/radio-beam.git#egg=radio-beam reproject==0.5.1 dust_extinction>=0.7 astro-gala From 195ad6a120fda35335e6557933d93b27f199a988 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Wed, 2 Sep 2020 23:04:31 +0800 Subject: [PATCH 07/43] Apply suggestions from code review Co-authored-by: Adrian Price-Whelan --- CONTRIBUTING.rst | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst index 725d84e01..ac182b844 100644 --- a/CONTRIBUTING.rst +++ b/CONTRIBUTING.rst @@ -244,9 +244,8 @@ procedure: If you do this, the only change necessary when merging your notebook will be to set ``tutorialpath`` to ``'http://data.astropy.org/tutorials/My-tutorial-name/'``. -For larger data files that are bigger than 10 MB in size, we recommend hosting with Zenodo. Using Zenodo -to host large data files is very straightforward and involves potentially far less steps. To use -this approach do the following: +For larger data files that are bigger than 10 MB in size, we recommend hosting with Zenodo. +To use this approach, follow these steps: * You will need to sign up for an account with Zenodo before you can upload a file there. @@ -254,13 +253,12 @@ this approach do the following: the Zenodo instructions and complete all the required fields as the bare minimum in order to have the data file(s) uploaded to their records. Once this is done you will have a link to share the data. -* With the link which has the format ``https://zenodo.org/api/records/:id``, and the HTTP GET request -needed to retrieve the record using the Python package ``requests`` is as below:: +* With the link to the data file record, which has the format ``https://zenodo.org/api/records/:id``, an example HTTP GET request needed to retrieve the data using the Python package ``requests`` is shown below:: import requests r = requests.get("https://zenodo.org/api/records/1234) -Basically to use the output you simply need to add the following lines to your Jupyter notebook:: +To use the output as a locally stored file, you would first need to write the file contents to a file, for example:: with open('./some-data-file.fits', 'wb') as f: f.write(r.content) From 4d59237804635c2db41abdd5042d1b6ff7a03ca7 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Mon, 30 Mar 2020 23:32:51 +0800 Subject: [PATCH 08/43] Add SkyCoord1 tutorial notebook Update download link for Helix FITS file --- pip-requirements.txt | 1 + .../celestial-coords1/celestial_coords1.ipynb | 566 ++++++++++++++++++ .../celestial-coords1/requirements.txt | 3 + 3 files changed, 570 insertions(+) create mode 100644 tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb create mode 100644 tutorials/notebooks/celestial-coords1/requirements.txt diff --git a/pip-requirements.txt b/pip-requirements.txt index 0255ca360..c92e91eb3 100644 --- a/pip-requirements.txt +++ b/pip-requirements.txt @@ -14,3 +14,4 @@ dust_extinction>=0.7 astro-gala dust_extinction>=0.7 synphot +requests \ No newline at end of file diff --git a/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb b/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb new file mode 100644 index 000000000..5821ed964 --- /dev/null +++ b/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb @@ -0,0 +1,566 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "UrWJ4QBTJRsv" + }, + "source": [ + "# Celestial Coordinates with WCS 1: Specifying, reading and plotting\n", + "\n", + "## Authors\n", + "\n", + "Kris Stern, Kelle Cruz, Lia Corrales, David Shupe\n", + "\n", + "## Learning Goals\n", + "\n", + "1. Two ways to build one's own astropy.wcs.WCS object\n", + "2. Show an image of the Helix nebula with RA and Dec labeled\n", + "3. Plot a scale bar on an image with WCS\n", + "\n", + "## Keywords\n", + "\n", + "WCS, coordinates, matplotlib\n", + "\n", + "## Companion Contents\n", + "1. \"An Introduction to Modern Astrophysics\" ([Carroll & Ostlie](https://ui.adsabs.harvard.edu/abs/2006ima..book.....C/abstract))\n", + "2. [FITS WCS page at GSFC](https://fits.gsfc.nasa.gov/fits_wcs.html)\n", + "\n", + "## Summary\n", + "\n", + "This tutorial series aims to show how the content of Chapter 1 of \"An Introduction to Modern Astrophysics\" by Carroll and Ostlie can be applied to real life astrohpysics research situations, using tools in the Astropy ecosystem. We will introduce two different approaches to building one's own `astropy.wcs.WCS` object, which conforms to the standards of the FITS World Coordinate System (WCS) used extensively by the astronomy research community. We will createda 2D WCS for an image of the iconic the Helix nebula (a planetary nebula) and plot an image of the nebula with RA and DEC labeled. Finally, we will overplot a scale bar on the Helix nebula image with WCS. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "ApMUBsVVJRsw" + }, + "outputs": [], + "source": [ + "from astropy.wcs import WCS\n", + "import requests\n", + "from astropy.io import fits\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "AbDZ0uWTJRsz" + }, + "source": [ + "## Section 1: Two ways to build your own `astropy.wcs.WCS` object\n", + "\n", + "*World coordinates* serve to locate a measurement in some multi-dimensional parameter space. A World Coordinate System (WCS) specifies the physical, or world, coordintes to be attached to each pixel or voxel of an N-dimensional image or array. An [elaborate set of standards and conventions](https://fits.gsfc.nasa.gov/fits_wcs.html) have been developed for the Flexible Image Transport System (FITS) format ([Wells et al. 1981](https://ui.adsabs.harvard.edu/abs/1981A&AS...44..363W/abstract)). A typical WCS example is to specify the Right Ascension (RA) and Declination (Dec) on the sky associated with a given the pixel or spaxel location in a 2-dimensional celestial image ([Greisen & Calabretta 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1061G/abstract); [Calabretta and Greisen 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1077C/abstract)).\n", + "\n", + "The [`astropy.wcs` subpackage](https://docs.astropy.org/en/stable/wcs/) implements FITS standards and conventions for World Coordinate Systems. Using the `astropy.wcs.WCS` object and `matplotlib`, we can generate images of the sky that have axes labeled with coordinates such as right ascension (RA) and declination (Dec). This requires selecting the proper projections for `matplotlib` and providing a `WCSAxes` object.\n", + "\n", + "**There are two main ways to initialize a `WCSAxes` object: with a Python dictionary or with Python lists.** In this set of examples, we will initialize an `astropy.wcs.WCS` object with two axes. The axes are defined by `CTYPE` keywords. \n", + "\n", + "Here is a list of essential WCS keywords and their uses. In each case, the integer $n$ denotes the dimensional axis (starting with 1) to which the keyword is being applied.\n", + "\n", + "* **CRVALn**: the coordinate value at the reference point (e.g., RA and DEC value in degrees)\n", + "* **CRPIXn**: the pixel location for the reference point (e.g., CRPIX1=1, CRPIX2=1 describes the center of a corner pixel)\n", + "* **CDELTn**: the coordinate increment at the reference point (e.g., the difference in 'RA' value from the reference pixel to its neighbor along the RA axis)\n", + "* **CTYPEn**: an 8-character string describing the axis type (e.g., 'RA---TAN' and 'DEC---TAN' describe typical sky projections that astronomers use)\n", + "* **CUNITn**: a string describing the unit for each axis (If not specified, the default unit is degrees.)\n", + "* **NAXISn** : an integer defining the number of pixels in each axis\n", + "\n", + "Some good references of the WCS can be found [here](https://fits.gsfc.nasa.gov/fits_wcs.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "A_uD9fzbUlet" + }, + "source": [ + "### Method 1: Building a WCS with a dictionary\n", + "\n", + "One way to define an Astropy WCS object is to construct a dictionary containing all the essential information mapping the pixel coordinate space to the world coordinate space. The advantage of this approach is that the `NAXIS` value for each axis can be included directly. \n", + "\n", + "In this example, we define a two coordinate axes with:\n", + "* A Gnomic (tangent-plane) projection, which corresponds to the RA/Dec coordinate system\n", + "* A reference location of (RA,DEC) = (337.52, -20.83), as defined by the **CRVALn** keys\n", + "* The pixel at coordinate value (1,1) as the reference location (**CRPIXn** keys)\n", + "* Units of degrees (**CUNITn = 'deg'**)\n", + "* Pixel sizes of 1 x 1 arcsec (**CDELTn = 0.002778** in degrees)\n", + "* An image size of 1024 x 1024 pixels (**NAXISn** key)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "3fRBbYmbJRs0" + }, + "outputs": [], + "source": [ + "wcs_input_dict = {\n", + "'CTYPE1': 'RA---TAN', 'CUNIT1': 'deg', 'CDELT1': -0.0002777777778, 'CRPIX1': 1, 'CRVAL1': 337.5202808, 'NAXIS1': 1024,\n", + "'CTYPE2': 'DEC--TAN', 'CUNIT2': 'deg', 'CDELT2': 0.0002777777778, 'CRPIX2': 1, 'CRVAL2': -20.833333059999998, 'NAXIS2': 1024}\n", + "wcs_helix_dict = WCS(wcs_input_dict)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "AA4wMjYqJRs2" + }, + "source": [ + "Now let's print the `WCS` object defined with a Python dictionary to check its content: " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 194 + }, + "colab_type": "code", + "id": "_3_wPImmJRs3", + "outputId": "7629004b-9897-4c94-e681-1217fa8dcfb5" + }, + "outputs": [], + "source": [ + "wcs_helix_dict # To check output" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "YlwK4xHQU6Un" + }, + "source": [ + "### Method 2: Create an empty WCS object before assigning values\n", + "\n", + "Alternatively, we could initialize the `astropy.wcs.WCS` object, and assign the keyword values with lists corresponding to each respective axis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bGI2DpWdJRs6" + }, + "outputs": [], + "source": [ + "wcs_helix_list = WCS(naxis=2)\n", + "wcs_helix_list.wcs.crpix = [1, 1]\n", + "wcs_helix_list.wcs.crval = [337.5202808, -20.833333059999998]\n", + "wcs_helix_list.wcs.cunit = [\"deg\", \"deg\"]\n", + "wcs_helix_list.wcs.ctype = [\"RA---TAN\", \"DEC--TAN\"]\n", + "wcs_helix_list.wcs.cdelt = [-0.0002777777778, 0.0002777777778]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "ZjCbtC-bAtMr" + }, + "source": [ + "Let's print the `WCS` object one more time to check how our values were assigned." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 194 + }, + "colab_type": "code", + "id": "iwx8iECxJRs8", + "outputId": "d8a4818f-13b0-433f-d17d-f660e207ba4c" + }, + "outputs": [], + "source": [ + "wcs_helix_list # To check output" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "rL7-Qut6AGDM" + }, + "source": [ + "Note that when we initialize the WCS object this way, the `NAXIS` values are set to 0. To assign coordinates to our image, we will need to fix the shape of the `WCS` object array so that it matches our image. We can do this by assigning a value to the `array_shape` attribute of the `WCS` object:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "6PnSCW0_-pQs" + }, + "outputs": [], + "source": [ + "wcs_helix_list.array_shape = [1024, 1024]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "AszZGXxNBDoz" + }, + "source": [ + "Now when we print the `WCS` object, we can see that the `NAXIS` values have been updated from the default size of 0 to 1024." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 194 + }, + "colab_type": "code", + "id": "qdg6jLCa_Sck", + "outputId": "8285ba5c-10e8-457f-bded-15c3faff782c" + }, + "outputs": [], + "source": [ + "wcs_helix_list" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "qKvxquTdEOo5" + }, + "source": [ + "## Section 2: Show an image of the Helix nebula with RA and Dec labeled\n", + "\n", + "Most of the time we can obtain the required `astropy.wcs.WCS` object from the header of the FITS file from a telescope or astronomical database. This process is described below.\n", + "\n", + "### Step 1: Read in the FITS file\n", + "\n", + "First, we will download the FITS file from Zenodo using the Python requests form. Then we will read the FITS file into a variable called header_data_unit." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "MRVbLwvcE__Y" + }, + "outputs": [], + "source": [ + "header_data_unit_list = fits.open('https://github.com/astropy/astropy-data/raw/6d92878d18e970ce6497b70a9253f65c925978bf/tutorials/celestial-coords1/tailored_dss.22.29.38.50-20.50.13_60arcmin.fits')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "tTKAPz2pJzH0" + }, + "source": [ + "FITS files are formatted to be used by astronomers and can contain information arranged in many \"extensions.\" We can check how many extensions there are in a FITS file, as well as view a summary of the contents in each extension, by printing the FITS object information." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 70 + }, + "colab_type": "code", + "id": "n5T4-QCzJVKa", + "outputId": "f7cb2735-6c58-44b3-a965-bd297e2bfc10" + }, + "outputs": [], + "source": [ + "header_data_unit_list.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "we-RjJ8PJo1w" + }, + "source": [ + "This file contains only one extension, labeled 'PRIMARY' (or extension number 0). We will copy the image data to the variable `image`, and the header data to the variable `header`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "w4W_HiR-Ji6g" + }, + "outputs": [], + "source": [ + "image = header_data_unit_list[0].data\n", + "header = header_data_unit_list[0].header" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "EUVTT2WdKCGd" + }, + "source": [ + "We can print the FITS image header to screen so that all of its contents can be checked or utilized. Note that the WCS information for this information can be found near the bottom of the printed header, below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "colab_type": "code", + "id": "XcerK_cZJ30W", + "outputId": "f609c0ae-0116-45c6-fd89-921a208c9434" + }, + "outputs": [], + "source": [ + "header" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "g3FyYZ-bQ5b7" + }, + "source": [ + "Please note that the original header violates the FITS WCS standards (including both CDELTn and CD-matrix; including deprecated PC-matrix keywords). The header has been cleaned up to conform to the existing standards." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "FzAtb_LWLyWn" + }, + "source": [ + "### Step 2: Read in the FITS image coordinate system with astropy.wcs.WCS\n", + "\n", + "Because the header contains WCS information, the Astropy `WCS` class can be loaded directly from the FITS header information." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "3Wl5J0HBLoIp" + }, + "outputs": [], + "source": [ + "wcs_helix = WCS(header)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "Akv472vTZFLp" + }, + "source": [ + "Let's print the `WCS` object to see what values were drawn from the header." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 194 + }, + "colab_type": "code", + "id": "1C7y709IZNvl", + "outputId": "6aee1d99-9f6f-4990-ef55-aa601c33ff0d" + }, + "outputs": [], + "source": [ + "wcs_helix" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "O10H9rmtQEnM" + }, + "source": [ + "### Step 3: Plot the Helix nebula with the proper RA and Dec\n", + "\n", + "Next, let's view the image. We will be using the `matplotlib` library for the plotting. \n", + "\n", + "The `WCS` object is built so it can be provided to `matplotlib` with the `projection` keyword, as shown in the call to `matplotlib.pyplot.subplot`, below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 607 + }, + "colab_type": "code", + "id": "fnv48KDbOkxB", + "outputId": "05775d9a-6663-4b01-a3d3-0d7c9440ea64" + }, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10,10), frameon=False)\n", + "ax = plt.subplot(projection=wcs_helix)\n", + "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", + "plt.xlabel(r'$RA$')\n", + "plt.ylabel(r'$Dec$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "DVVT552iQYn4" + }, + "source": [ + "## Exercise\n", + "\n", + "What happens if we do not use the WCS projection? Re-run the code block above without defining the subplot projection as `wcs_helix`. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 610 + }, + "colab_type": "code", + "id": "XPA-2LOLQLnB", + "outputId": "7eb7e024-b8a7-4d16-b0c3-0a1aa7c71d39" + }, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10,10), frameon=False)\n", + "ax = plt.subplot(111)\n", + "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", + "plt.xlabel(r'$Physical \\; X$')\n", + "plt.ylabel(r'$Physical \\; Y$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "AugJZVZtRQWh" + }, + "source": [ + "Compare your two plots, with and without the wcs projection. In what cases would you prefer to see the image with RA and Dec? In what cases are the pixel coordinates more useful?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "FexGrb2hXj85" + }, + "source": [ + "## Section 3: Plot a scale bar on an image with WCS\n", + "\n", + "To add a scale bar to the image of the Helix nebula, we will use the matplotlib `Axes.arrow` method to draw a line. \n", + "\n", + "First, we need to decide where to place the scale bar. In the example below, the center of the scale bar is at `(RA, Dec) = (337 deg, -21.2 deg)`. \n", + "\n", + "Then, we can use the `transform` attribute of `Axes.arrow` to draw our scale bars in degrees. In this case, we draw a scale bar with a length of 0.1 degrees. The arrow method inputs are `ax.arrow(x, y, dx, dy, **kwargs)`, with `x` being the `RA` and `y` being the `Dec` of for one end of the arrow. We use `dx=0` so that there is no horizontal component in the bar, and `dy=0.1` gives the length of the arrow in the vertical direction. To ensure that the arrow is drawn in the J2000 FK5 coordinate frame, we pass `ax.get_transform('fk5')` to the `transform` keyword.\n", + "\n", + "Finally, we use `matplotlib.pyplot.text` to describe the length of the scale bar." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 607 + }, + "colab_type": "code", + "id": "OkH12BWESpGp", + "outputId": "adcffc9d-85fb-45f2-e38a-11f18db320d7" + }, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10,10), frameon=False)\n", + "ax = plt.subplot(projection=wcs_helix)\n", + "ax.arrow(337, -21.2, 0, 0.1, head_width=0, head_length=0, fc='white', ec='white', width=0.003, transform=ax.get_transform('fk5'))\n", + "plt.text(337.05, -21.18, '0.1 deg', color='white', rotation=90, transform=ax.get_transform('fk5'))\n", + "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", + "plt.xlabel(r'$RA$')\n", + "plt.ylabel(r'$Dec$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "N_CWLccBPXvu" + }, + "source": [ + "## Exercise\n", + "\n", + "Make a horizontal bar with the same length. Keep in mind that 1 hour angle = 15 degrees." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bIePbBar8uFv" + }, + "outputs": [], + "source": [] + } + ], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/tutorials/notebooks/celestial-coords1/requirements.txt b/tutorials/notebooks/celestial-coords1/requirements.txt new file mode 100644 index 000000000..829defe5f --- /dev/null +++ b/tutorials/notebooks/celestial-coords1/requirements.txt @@ -0,0 +1,3 @@ +astropy +matplotlib +requests From eef552113e30c895a3ad21464239d458a322c47a Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 16 Sep 2020 10:13:51 -0400 Subject: [PATCH 09/43] apw edits to new tutorial --- .../celestial-coords1/celestial_coords1.ipynb | 189 ++++++++++++------ 1 file changed, 125 insertions(+), 64 deletions(-) diff --git a/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb b/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb index 5821ed964..7c1f80a36 100644 --- a/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb +++ b/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb @@ -7,17 +7,17 @@ "id": "UrWJ4QBTJRsv" }, "source": [ - "# Celestial Coordinates with WCS 1: Specifying, reading and plotting\n", + "# Working with Celestial Coordinates in WCS 1: Specifying, reading, and plotting\n", "\n", "## Authors\n", "\n", - "Kris Stern, Kelle Cruz, Lia Corrales, David Shupe\n", + "Kris Stern, Kelle Cruz, Lia Corrales, David Shupe, Adrian Price-Whelan\n", "\n", "## Learning Goals\n", "\n", - "1. Two ways to build one's own astropy.wcs.WCS object\n", + "1. Demonstrate two ways to build a `astropy.wcs.WCS` object\n", "2. Show an image of the Helix nebula with RA and Dec labeled\n", - "3. Plot a scale bar on an image with WCS\n", + "3. Plot a scale bar on an image with WCS information\n", "\n", "## Keywords\n", "\n", @@ -29,7 +29,7 @@ "\n", "## Summary\n", "\n", - "This tutorial series aims to show how the content of Chapter 1 of \"An Introduction to Modern Astrophysics\" by Carroll and Ostlie can be applied to real life astrohpysics research situations, using tools in the Astropy ecosystem. We will introduce two different approaches to building one's own `astropy.wcs.WCS` object, which conforms to the standards of the FITS World Coordinate System (WCS) used extensively by the astronomy research community. We will createda 2D WCS for an image of the iconic the Helix nebula (a planetary nebula) and plot an image of the nebula with RA and DEC labeled. Finally, we will overplot a scale bar on the Helix nebula image with WCS. " + "This tutorial series aims to show how the content of Chapter 1 of \"An Introduction to Modern Astrophysics\" by Carroll and Ostlie can be applied to real life astrophysics research situations, using tools in the Astropy ecosystem. We will introduce two different approaches to building a `astropy.wcs.WCS` object, which contains meta-data that (in this case) defines a mapping between image coordinates and sky coordinates. The `astropy.wcs` subpackage conforms to the standards of the FITS World Coordinate System (WCS) used extensively by the astronomy research community. We will created a 2D WCS for an image of the iconic the Helix nebula (a planetary nebula) and display an image of the nebula with sky coordinates (here, equatorial, ICRS RA and Dec.) labeled. Finally, we will over-plot a scale bar on the Helix nebula image using WCS to give the reader a sense of the angular size of the image." ] }, { @@ -43,7 +43,6 @@ "outputs": [], "source": [ "from astropy.wcs import WCS\n", - "import requests\n", "from astropy.io import fits\n", "import matplotlib.pyplot as plt" ] @@ -55,24 +54,24 @@ "id": "AbDZ0uWTJRsz" }, "source": [ - "## Section 1: Two ways to build your own `astropy.wcs.WCS` object\n", + "## Section 1: Two ways to create an `astropy.wcs.WCS` object\n", "\n", - "*World coordinates* serve to locate a measurement in some multi-dimensional parameter space. A World Coordinate System (WCS) specifies the physical, or world, coordintes to be attached to each pixel or voxel of an N-dimensional image or array. An [elaborate set of standards and conventions](https://fits.gsfc.nasa.gov/fits_wcs.html) have been developed for the Flexible Image Transport System (FITS) format ([Wells et al. 1981](https://ui.adsabs.harvard.edu/abs/1981A&AS...44..363W/abstract)). A typical WCS example is to specify the Right Ascension (RA) and Declination (Dec) on the sky associated with a given the pixel or spaxel location in a 2-dimensional celestial image ([Greisen & Calabretta 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1061G/abstract); [Calabretta and Greisen 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1077C/abstract)).\n", + "*World coordinates* serve to locate a measurement in some multi-dimensional parameter space. A World Coordinate System (WCS) specifies the physical, or world, coordinates to be attached to each pixel or voxel of an N-dimensional image or array. An [elaborate set of standards and conventions](https://fits.gsfc.nasa.gov/fits_wcs.html) have been developed for the Flexible Image Transport System (FITS) format ([Wells et al. 1981](https://ui.adsabs.harvard.edu/abs/1981A&AS...44..363W/abstract)). A typical WCS example is to specify the Right Ascension (RA) and Declination (Dec) on the sky associated with a given the pixel or spaxel location in a 2-dimensional celestial image ([Greisen & Calabretta 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1061G/abstract); [Calabretta and Greisen 2002](https://ui.adsabs.harvard.edu/abs/2002A&A...395.1077C/abstract)).\n", "\n", - "The [`astropy.wcs` subpackage](https://docs.astropy.org/en/stable/wcs/) implements FITS standards and conventions for World Coordinate Systems. Using the `astropy.wcs.WCS` object and `matplotlib`, we can generate images of the sky that have axes labeled with coordinates such as right ascension (RA) and declination (Dec). This requires selecting the proper projections for `matplotlib` and providing a `WCSAxes` object.\n", + "The [`astropy.wcs` subpackage](https://docs.astropy.org/en/stable/wcs/) implements FITS standards and conventions for World Coordinate Systems. Using the `astropy.wcs.WCS` object and `matplotlib`, we can generate images of the sky that have axes labeled with coordinates such as right ascension (RA) and declination (Dec). This requires selecting the proper projections for `matplotlib` and providing an `astropy.visualization.WCSAxes` object.\n", "\n", - "**There are two main ways to initialize a `WCSAxes` object: with a Python dictionary or with Python lists.** In this set of examples, we will initialize an `astropy.wcs.WCS` object with two axes. The axes are defined by `CTYPE` keywords. \n", + "There are two main ways to initialize a `WCS` object: with a Python dictionary (or dictionary-like object, like a FITS file header) or with Python lists. In this set of examples, we will initialize an `astropy.wcs.WCS` object with two dimensions, as would be needed to represent an image.\n", "\n", - "Here is a list of essential WCS keywords and their uses. In each case, the integer $n$ denotes the dimensional axis (starting with 1) to which the keyword is being applied.\n", + "The WCS standard defines a set of keywords that are used to represent the world coordinate system for a given set of data (e.g., image). Here is a list of the essential WCS keywords and their uses; In each case, the integer $n$ denotes the dimensional axis (starting with 1) to which the keyword is being applied. In our examples below, we will have two image dimensions (axes), so $n$ will either be 1 or 2.\n", "\n", - "* **CRVALn**: the coordinate value at the reference point (e.g., RA and DEC value in degrees)\n", - "* **CRPIXn**: the pixel location for the reference point (e.g., CRPIX1=1, CRPIX2=1 describes the center of a corner pixel)\n", + "* **CRVALn**: the coordinate value at a reference point (e.g., RA and DEC value in degrees)\n", + "* **CRPIXn**: the pixel location of the reference point (e.g., CRPIX1=1, CRPIX2=1 describes the center of a corner pixel)\n", "* **CDELTn**: the coordinate increment at the reference point (e.g., the difference in 'RA' value from the reference pixel to its neighbor along the RA axis)\n", - "* **CTYPEn**: an 8-character string describing the axis type (e.g., 'RA---TAN' and 'DEC---TAN' describe typical sky projections that astronomers use)\n", - "* **CUNITn**: a string describing the unit for each axis (If not specified, the default unit is degrees.)\n", - "* **NAXISn** : an integer defining the number of pixels in each axis\n", + "* **CTYPEn**: an 8-character string describing the axis type (e.g., 'RA---TAN' and 'DEC---TAN' describe the typical tangent-plane sky projection that astronomers use)\n", + "* **CUNITn**: a string describing the unit for each axis (if not specified, the default unit is degrees.)\n", + "* **NAXISn**: an integer defining the number of pixels in each axis\n", "\n", - "Some good references of the WCS can be found [here](https://fits.gsfc.nasa.gov/fits_wcs.html)." + "Some good references of the WCS standard can be found [here](https://fits.gsfc.nasa.gov/fits_wcs.html)." ] }, { @@ -82,12 +81,12 @@ "id": "A_uD9fzbUlet" }, "source": [ - "### Method 1: Building a WCS with a dictionary\n", + "### Method 1: Building a WCS object with a dictionary\n", "\n", - "One way to define an Astropy WCS object is to construct a dictionary containing all the essential information mapping the pixel coordinate space to the world coordinate space. The advantage of this approach is that the `NAXIS` value for each axis can be included directly. \n", + "One way to define an Astropy `WCS` object is to construct a dictionary containing all of the essential information (i.e., specifying values for the WCS keywords listed above) that map the pixel coordinate space to the world coordinate space. \n", "\n", - "In this example, we define a two coordinate axes with:\n", - "* A Gnomic (tangent-plane) projection, which corresponds to the RA/Dec coordinate system\n", + "In this example, we define two coordinate axes with:\n", + "* A Gnomonic (tangent-plane) projection, which corresponds to the RA/Dec coordinate system\n", "* A reference location of (RA,DEC) = (337.52, -20.83), as defined by the **CRVALn** keys\n", "* The pixel at coordinate value (1,1) as the reference location (**CRPIXn** keys)\n", "* Units of degrees (**CUNITn = 'deg'**)\n", @@ -106,8 +105,19 @@ "outputs": [], "source": [ "wcs_input_dict = {\n", - "'CTYPE1': 'RA---TAN', 'CUNIT1': 'deg', 'CDELT1': -0.0002777777778, 'CRPIX1': 1, 'CRVAL1': 337.5202808, 'NAXIS1': 1024,\n", - "'CTYPE2': 'DEC--TAN', 'CUNIT2': 'deg', 'CDELT2': 0.0002777777778, 'CRPIX2': 1, 'CRVAL2': -20.833333059999998, 'NAXIS2': 1024}\n", + " 'CTYPE1': 'RA---TAN', \n", + " 'CUNIT1': 'deg', \n", + " 'CDELT1': -0.0002777777778, \n", + " 'CRPIX1': 1, \n", + " 'CRVAL1': 337.5202808, \n", + " 'NAXIS1': 1024,\n", + " 'CTYPE2': 'DEC--TAN', \n", + " 'CUNIT2': 'deg', \n", + " 'CDELT2': 0.0002777777778, \n", + " 'CRPIX2': 1, \n", + " 'CRVAL2': -20.833333059999998, \n", + " 'NAXIS2': 1024\n", + "}\n", "wcs_helix_dict = WCS(wcs_input_dict)" ] }, @@ -138,6 +148,13 @@ "wcs_helix_dict # To check output" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this demonstration (and below), we assume that we know all of the relevant WCS keyword values to specify. Typically, however, we will rely on software to produce these values for us. For example, WCS information is most often included automatically in FITS files produced by software used to take images with most instruments at astronomical observatories. In cases when the WCS information is provided for us in a FITS file, it is typically included in a FITS header, which, when read into Python, acts like a dictionary object. We demonstrate this later on in this tutorial." + ] + }, { "cell_type": "markdown", "metadata": { @@ -258,7 +275,7 @@ "\n", "### Step 1: Read in the FITS file\n", "\n", - "First, we will download the FITS file from Zenodo using the Python requests form. Then we will read the FITS file into a variable called header_data_unit." + "We will read the FITS file containing an image of the Helix nebula from the `astropy-data` GitHub repository using the `astropy.io.fits` subpackage. The `astropy.io.fits.open()` function will load the contents of a FITS file into Python, and it accepts either a local file path or a URL (as is demonstrated here). This image (FITS file) was originally accessed from the [Digitized Sky Survey](https://archive.eso.org/dss/dss) but is provided in the `astropy-data` repository for convenience:" ] }, { @@ -281,7 +298,7 @@ "id": "tTKAPz2pJzH0" }, "source": [ - "FITS files are formatted to be used by astronomers and can contain information arranged in many \"extensions.\" We can check how many extensions there are in a FITS file, as well as view a summary of the contents in each extension, by printing the FITS object information." + "FITS files are a binary file format that is mainly used by astronomers and can contain information arranged in many \"extensions,\" which contain both header information (e.g., metadata) and data (e.g., image data). We can check how many extensions there are in a FITS file, as well as view a summary of the contents in each extension, by printing the FITS object information." ] }, { @@ -308,7 +325,7 @@ "id": "we-RjJ8PJo1w" }, "source": [ - "This file contains only one extension, labeled 'PRIMARY' (or extension number 0). We will copy the image data to the variable `image`, and the header data to the variable `header`." + "This shows us that our FITS file contains only one extension, labeled 'PRIMARY' (or extension number 0). We will copy the image data from this extension to the variable `image`, and the header data to the variable `header`:" ] }, { @@ -359,7 +376,7 @@ "id": "g3FyYZ-bQ5b7" }, "source": [ - "Please note that the original header violates the FITS WCS standards (including both CDELTn and CD-matrix; including deprecated PC-matrix keywords). The header has been cleaned up to conform to the existing standards." + "Please note that the *original* header (as downloaded from the DSS) violates the FITS WCS standards (because it includes both CDELTn keywords and a matrix of CD values; including deprecated PC-matrix keywords). The header has been cleaned up to conform to the existing standards." ] }, { @@ -371,7 +388,7 @@ "source": [ "### Step 2: Read in the FITS image coordinate system with astropy.wcs.WCS\n", "\n", - "Because the header contains WCS information, the Astropy `WCS` class can be loaded directly from the FITS header information." + "Because the header contains WCS information and acts like a Python dictionary, an Astropy `WCS` object can be created directly from the FITS header." ] }, { @@ -421,11 +438,26 @@ "id": "O10H9rmtQEnM" }, "source": [ - "### Step 3: Plot the Helix nebula with the proper RA and Dec\n", - "\n", - "Next, let's view the image. We will be using the `matplotlib` library for the plotting. \n", + "### Step 3: Plot the Helix nebula with sky coordinate axes (RA and Dec)\n", "\n", - "The `WCS` object is built so it can be provided to `matplotlib` with the `projection` keyword, as shown in the call to `matplotlib.pyplot.subplot`, below." + "The image data, `image`, is a 2D array of values, and by itself contains no information about the sky coordinates of the pixels. So, if we plotted the image by itself, the plot axes would show pixel values. (We will be using the `matplotlib` library for the plotting.)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10, 10))\n", + "plt.imshow(image, origin='lower', cmap='cividis')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "All of the information that maps from these pixel values to sky coordinates comes from the WCS metadata, which we loaded into the `wcs_helix` object (from the FITS file header). This `WCS` object is built so that it can be provided to `matplotlib` with the `projection` keyword, as shown in the call to `matplotlib.pyplot.subplot` below, in order to produce axes that show sky coordinate information instead of pixel values. We will also overlay a coordinate grid in ICRS equatorial coordinates by passing the sky coordinate frame name (here, \"icrs\") to the `ax.get_coords_overlay()` method." ] }, { @@ -442,12 +474,14 @@ }, "outputs": [], "source": [ - "fig = plt.figure(figsize=(10,10), frameon=False)\n", + "fig = plt.figure(figsize=(10, 10))\n", "ax = plt.subplot(projection=wcs_helix)\n", "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", - "plt.xlabel(r'$RA$')\n", - "plt.ylabel(r'$Dec$')\n", - "plt.show()" + "plt.xlabel(r'RA')\n", + "plt.ylabel(r'Dec')\n", + "\n", + "overlay = ax.get_coords_overlay('icrs')\n", + "overlay.grid(color='white', ls='dotted')" ] }, { @@ -459,7 +493,7 @@ "source": [ "## Exercise\n", "\n", - "What happens if we do not use the WCS projection? Re-run the code block above without defining the subplot projection as `wcs_helix`. " + "Copy the code block above and instead overlay a coordinate grid in Galactic coordinates." ] }, { @@ -476,22 +510,14 @@ }, "outputs": [], "source": [ - "fig = plt.figure(figsize=(10,10), frameon=False)\n", - "ax = plt.subplot(111)\n", + "fig = plt.figure(figsize=(10, 10))\n", + "ax = plt.subplot(projection=wcs_helix)\n", "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", - "plt.xlabel(r'$Physical \\; X$')\n", - "plt.ylabel(r'$Physical \\; Y$')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "AugJZVZtRQWh" - }, - "source": [ - "Compare your two plots, with and without the wcs projection. In what cases would you prefer to see the image with RA and Dec? In what cases are the pixel coordinates more useful?" + "plt.xlabel(r'RA')\n", + "plt.ylabel(r'Dec')\n", + "\n", + "overlay = ax.get_coords_overlay('galactic')\n", + "overlay.grid(color='white', ls='dotted')" ] }, { @@ -501,15 +527,15 @@ "id": "FexGrb2hXj85" }, "source": [ - "## Section 3: Plot a scale bar on an image with WCS\n", + "## Section 3: Plot a scale marker on an image with WCS\n", "\n", - "To add a scale bar to the image of the Helix nebula, we will use the matplotlib `Axes.arrow` method to draw a line. \n", + "To add a scale marker (i.e., a line of a particular *angular* size) to the image of the Helix nebula, we will use the matplotlib `Axes.arrow` method to draw a line. \n", "\n", - "First, we need to decide where to place the scale bar. In the example below, the center of the scale bar is at `(RA, Dec) = (337 deg, -21.2 deg)`. \n", + "First, we need to decide where to place the scale bar. In the example below, we define the center of the scale marker to be at `(RA, Dec) = (337 deg, -21.2 deg)`. \n", "\n", - "Then, we can use the `transform` attribute of `Axes.arrow` to draw our scale bars in degrees. In this case, we draw a scale bar with a length of 0.1 degrees. The arrow method inputs are `ax.arrow(x, y, dx, dy, **kwargs)`, with `x` being the `RA` and `y` being the `Dec` of for one end of the arrow. We use `dx=0` so that there is no horizontal component in the bar, and `dy=0.1` gives the length of the arrow in the vertical direction. To ensure that the arrow is drawn in the J2000 FK5 coordinate frame, we pass `ax.get_transform('fk5')` to the `transform` keyword.\n", + "We then use the `transform` attribute of `Axes.arrow` to draw our scale bars in degrees (instead of pixel coordinates). In this case, we draw a scale marker with a length of 0.1 degrees. The arrow method inputs are `ax.arrow(x, y, dx, dy, **kwargs)`, with `x` and `y` being the `RA` and `Dec` of the beginning of the line. We use `dx=0` so that there is no horizontal component in the bar, and `dy=0.1`, which gives the length of the arrow in the vertical direction. To ensure that the arrow is drawn in the J2000 ICRS coordinate frame, we pass `ax.get_transform('icrs')` to the `transform` keyword.\n", "\n", - "Finally, we use `matplotlib.pyplot.text` to describe the length of the scale bar." + "Finally, we use `matplotlib.pyplot.text` to mark the length of the scale marker." ] }, { @@ -526,14 +552,18 @@ }, "outputs": [], "source": [ - "fig = plt.figure(figsize=(10,10), frameon=False)\n", + "fig = plt.figure(figsize=(10, 10), frameon=False)\n", "ax = plt.subplot(projection=wcs_helix)\n", - "ax.arrow(337, -21.2, 0, 0.1, head_width=0, head_length=0, fc='white', ec='white', width=0.003, transform=ax.get_transform('fk5'))\n", - "plt.text(337.05, -21.18, '0.1 deg', color='white', rotation=90, transform=ax.get_transform('fk5'))\n", + "ax.arrow(337, -21.2, 0, 0.1, \n", + " head_width=0, head_length=0, \n", + " fc='white', ec='white', width=0.003, \n", + " transform=ax.get_transform('icrs'))\n", + "plt.text(337.05, -21.18, '0.1 deg', \n", + " color='white', rotation=90, \n", + " transform=ax.get_transform('icrs'))\n", "plt.imshow(image, origin='lower', cmap='cividis', aspect='equal')\n", - "plt.xlabel(r'$RA$')\n", - "plt.ylabel(r'$Dec$')\n", - "plt.show()" + "plt.xlabel(r'RA')\n", + "plt.ylabel(r'Dec')" ] }, { @@ -560,7 +590,38 @@ "source": [] } ], - "metadata": {}, + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, "nbformat": 4, "nbformat_minor": 4 } From 92c20d9422e9920385e5486e0d6ed462afebcd66 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Wed, 16 Sep 2020 22:33:17 +0800 Subject: [PATCH 10/43] Rename the path for the tutorial --- .../celestial_coords1.ipynb | 0 .../{celestial-coords1 => wcs-celestial-coords1}/requirements.txt | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename tutorials/notebooks/{celestial-coords1 => wcs-celestial-coords1}/celestial_coords1.ipynb (100%) rename tutorials/notebooks/{celestial-coords1 => wcs-celestial-coords1}/requirements.txt (100%) diff --git a/tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb b/tutorials/notebooks/wcs-celestial-coords1/celestial_coords1.ipynb similarity index 100% rename from tutorials/notebooks/celestial-coords1/celestial_coords1.ipynb rename to tutorials/notebooks/wcs-celestial-coords1/celestial_coords1.ipynb diff --git a/tutorials/notebooks/celestial-coords1/requirements.txt b/tutorials/notebooks/wcs-celestial-coords1/requirements.txt similarity index 100% rename from tutorials/notebooks/celestial-coords1/requirements.txt rename to tutorials/notebooks/wcs-celestial-coords1/requirements.txt From a9c83324f503c7dfc6d1200ca0e5a9f141c29913 Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Wed, 16 Sep 2020 22:34:49 +0800 Subject: [PATCH 11/43] Update requirements.txt to remove requests from list --- tutorials/notebooks/wcs-celestial-coords1/requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/tutorials/notebooks/wcs-celestial-coords1/requirements.txt b/tutorials/notebooks/wcs-celestial-coords1/requirements.txt index 829defe5f..a6623541c 100644 --- a/tutorials/notebooks/wcs-celestial-coords1/requirements.txt +++ b/tutorials/notebooks/wcs-celestial-coords1/requirements.txt @@ -1,3 +1,2 @@ astropy matplotlib -requests From a677700cbc8f32edea793cbc36914caa805f1e9e Mon Sep 17 00:00:00 2001 From: Kris Stern Date: Wed, 16 Sep 2020 22:38:23 +0800 Subject: [PATCH 12/43] Remove requests from pip-requirements.txt --- pip-requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/pip-requirements.txt b/pip-requirements.txt index c92e91eb3..0255ca360 100644 --- a/pip-requirements.txt +++ b/pip-requirements.txt @@ -14,4 +14,3 @@ dust_extinction>=0.7 astro-gala dust_extinction>=0.7 synphot -requests \ No newline at end of file From 486d82e393152196e20ad5a961c3d94ce720805e Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 16 Sep 2020 11:02:07 -0400 Subject: [PATCH 13/43] fix multi-line code in UVES tutorial - fixes #448 --- tutorials/notebooks/UVES/UVES.ipynb | 27 ++++++++++++++++++++++----- 1 file changed, 22 insertions(+), 5 deletions(-) diff --git a/tutorials/notebooks/UVES/UVES.ipynb b/tutorials/notebooks/UVES/UVES.ipynb index c157997fd..4cf6da57f 100644 --- a/tutorials/notebooks/UVES/UVES.ipynb +++ b/tutorials/notebooks/UVES/UVES.ipynb @@ -232,14 +232,18 @@ "the current directory, then this file can be imported into a python session in\n", "order to use the function `func` with the following command:\n", "\n", - "```import spectra_utils\n", - "a = spectra_utils.func(param1, param2, ...)```\n", + "```\n", + "import spectra_utils\n", + "a = spectra_utils.func(param1, param2, ...)\n", + "```\n", "\n", "Alternatively, you can import just one (or a few) of many different functions\n", "that are defined in your file ``spectra_utils.py``:\n", "\n", - "```from spectra_utils import func\n", - "a = func(param1, param2, ...)```\n", + "```\n", + "from spectra_utils import func\n", + "a = func(param1, param2, ...)\n", + "```\n", "\n", "You'll recognize that python does not make a difference between modules that come\n", "with python (e.g. `glob`), external modules (e.g. `numpy` or `astropy`) and modules\n", @@ -1336,7 +1340,20 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.5" + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false } }, "nbformat": 4, From d77c1b04152c2386de26e4a393680a4b2e0c4ec4 Mon Sep 17 00:00:00 2001 From: Pey Lian Lim <2090236+pllim@users.noreply.github.com> Date: Wed, 18 Nov 2020 09:40:02 -0500 Subject: [PATCH 14/43] TST: Remove Travis --- .travis.yml | 51 ----------------------------------------------- tutorials/dev.rst | 4 ---- 2 files changed, 55 deletions(-) delete mode 100644 .travis.yml diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index 68417b1b6..000000000 --- a/.travis.yml +++ /dev/null @@ -1,51 +0,0 @@ -language: c - -os: - - linux - -sudo: false - -addons: - apt: - packages: - - graphviz - - texlive-latex-extra - - dvipng - -env: - global: - - - PYTHON_VERSION=3.6 - - NUMPY_VERSION=stable - - ASTROPY_VERSION=stable - - EVENT_TYPE='pull_request push' - - - CONDA_ENVIRONMENT='environment.yml' - - CONDA_DEPENDENCIES='jupyter ipython' - - CONDA_CHANNELS='astropy-ci-extras astropy' - - # We need to install the master/latest version of nbconvert because it has support for - # allowing exceptions in individual cells: - - PIP_DEPENDENCIES='git+https://github.com/jupyter/nbconvert' - -# matrix: - -# # Don't wait for allowed failures -# fast_finish: true - -# include: - -# - os: linux -# env: SETUP_CMD='test --coverage' - -install: - - - git clone --depth 1 git://github.com/astropy/ci-helpers.git - - source ci-helpers/travis/setup_conda.sh - -script: - # - | - # python scripts/convert.py docs/_static/tutorials/ -v - # --output-path=docs/rst-tutorials - # --template=docs/_static/astropy.tpl - - python scripts/convert.py tutorials/notebooks --exec-only -v diff --git a/tutorials/dev.rst b/tutorials/dev.rst index 98b864b4a..1a6c3cd72 100644 --- a/tutorials/dev.rst +++ b/tutorials/dev.rst @@ -18,10 +18,6 @@ to look like the main documentation. Sphinx requires restructured text (RST) files for its build process, so use an intermediate step to run the notebooks to produce output, and then convert the notebook files into RST files. -We use our own run-and-convert machinery using ``nbconvert``. We use the same -script that converts the notebooks to RST to test the notebooks on travis by -simply executing the notebooks and ignoring the output. - We use `CircleCI `_ to do the Sphinx build, which is then pushed to the ``gh-pages`` branch of the repository and served by GitHub. The notebooks are first converted to RST files during the Sphinx build by doing the From b3254eaa0226bf6479e3657a44b8a182a85517b2 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 11:09:55 -0500 Subject: [PATCH 15/43] use dev version of astroquery - fixes #463 --- pip-requirements.txt | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pip-requirements.txt b/pip-requirements.txt index 0255ca360..695982f5c 100644 --- a/pip-requirements.txt +++ b/pip-requirements.txt @@ -1,8 +1,9 @@ IPython>=6.1 -astropy>=3 +astropy>=4 astroquery>=0.3.7 +git+https://github.com/astropy/astroquery.git matplotlib==3.0.2 -numpy>=1.15 +numpy>=1.17 jupyter>=1.0 scipy>=1.0 notebook>=5.7.2 From a2cc1b6fa83c10260c558e0217fe3654455ccdc3 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 11:11:48 -0500 Subject: [PATCH 16/43] oops - replace the other astroquery line --- pip-requirements.txt | 1 - 1 file changed, 1 deletion(-) diff --git a/pip-requirements.txt b/pip-requirements.txt index 695982f5c..8add60d89 100644 --- a/pip-requirements.txt +++ b/pip-requirements.txt @@ -1,6 +1,5 @@ IPython>=6.1 astropy>=4 -astroquery>=0.3.7 git+https://github.com/astropy/astroquery.git matplotlib==3.0.2 numpy>=1.17 From 149e644ae8885c9a3b74c280984c11f184de3307 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 11:15:44 -0500 Subject: [PATCH 17/43] upgrade pip --- .circleci/config.yml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 0acb18c71..a6dd461aa 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -13,9 +13,10 @@ pip-run: &pip-install command: | python3 -m venv venv . venv/bin/activate - pip install -r pip-requirements.txt --progress-bar off - pip install --progress-bar off "sphinx>=2.0,<3.0" pytest - pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 + python3 -m pip install --upgrade pip + python3 -m pip install -r pip-requirements.txt --progress-bar off + python3 -m pip install --progress-bar off "sphinx>=2.0,<3.0" pytest + python3 -m pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 jobs: From 351b94ac8e67788642fea0d0cec730df977189a0 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 11:20:08 -0500 Subject: [PATCH 18/43] oh, also install wheel --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index a6dd461aa..60c5f700f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -13,7 +13,7 @@ pip-run: &pip-install command: | python3 -m venv venv . venv/bin/activate - python3 -m pip install --upgrade pip + python3 -m pip install --upgrade pip wheel python3 -m pip install -r pip-requirements.txt --progress-bar off python3 -m pip install --progress-bar off "sphinx>=2.0,<3.0" pytest python3 -m pip install --progress-bar off sphinx-astropy sphinx-bootstrap-theme nbconvert==5.6.1 From 1ee0e33381abea859c32d2afff7b7a7ce07d758c Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 16 Sep 2020 13:56:48 -0400 Subject: [PATCH 19/43] add new notebooks based on 2020 AAS workshop content --- .../1-Coordinates-Intro.ipynb | 941 ++++++++++++++++++ .../2-Coordinates-Transforms.ipynb | 411 ++++++++ .../3-Coordinates-Crossmatch.ipynb | 624 ++++++++++++ .../4-Coordinates-Velocities.ipynb | 358 +++++++ .../Coordinates-Intro/Coordinates-Intro.ipynb | 342 ------- .../Coordinates-Intro/HCG7_2MASS.tbl | 95 -- .../Coordinates-Intro/HCG7_SDSS_cutout.jpg | Bin 90801 -> 0 bytes .../Coordinates-Intro/requirements.txt | 10 +- 8 files changed, 2339 insertions(+), 442 deletions(-) create mode 100755 tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb create mode 100644 tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb create mode 100644 tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb create mode 100644 tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb delete mode 100755 tutorials/notebooks/Coordinates-Intro/Coordinates-Intro.ipynb delete mode 100644 tutorials/notebooks/Coordinates-Intro/HCG7_2MASS.tbl delete mode 100644 tutorials/notebooks/Coordinates-Intro/HCG7_SDSS_cutout.jpg diff --git a/tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb b/tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb new file mode 100755 index 000000000..34d746f3f --- /dev/null +++ b/tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb @@ -0,0 +1,941 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Astronomical Coordinates 1: Getting Started with astropy.coordinates\n", + "\n", + "## Authors\n", + "Adrian Price-Whelan\n", + "\n", + "## Learning Goals\n", + "* Create `astropy.coordinates.SkyCoord` objects using names and coordinates\n", + "* Use SkyCoord objects to become familiar with object oriented programming (OOP)\n", + "* Interact with a `SkyCoord` object and access its attributes\n", + "* Use a `SkyCoord` object to query a database\n", + "\n", + "## Keywords\n", + "coordinates, OOP, astroquery\n", + "\n", + "\n", + "## Summary\n", + "\n", + "Astronomers use a wide variety of coordinate systems and formats to represent sky coordinates of celestial objects. For example, you may be familiar with terms like \"right ascension\" and \"declination\" or \"galactic latitude and longitude,\" and you may have seen angular coordinate components represented as \"0h39m15.9s,\" \"00:39:15.9,\" or 9.81625º. `astropy.coordinates` provides tools for representing the coordinates of objects and transforming them between different systems. \n", + "\n", + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to work with astronomical coordinates. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "We start by importing some general packages we will need below:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.637389Z", + "start_time": "2020-09-16T17:38:08.065804Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "from astropy import units as u\n", + "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.io import fits\n", + "from astropy.table import QTable\n", + "from astropy.utils.data import download_file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Representing on-sky locations with `astropy.coordinates`\n", + "\n", + "In Astropy, the most common way of representing and working with sky coordinates is to use the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). A `SkyCoord` can be created directly from angles or arrays of angles with associated units, as demonstrated below. \n", + "\n", + "To get started, let's assume that we want to create a `SkyCoord` object for the center of the open cluster NGC 188 so that later we can query and retrieve stars that might be members of the cluster. Let's also assume, for now, that we already know the sky coordinates of the cluster to be (12.11, 85.26) degrees in the ICRS coordinate frame. The ICRS — sometimes referred to as \"equitorial\" or \"J2000\" coordinates — is currently the most common astronomical coordinate frame for stellar or extragalactic astronomy, and is the default coordinate frame for `SkyCoord`. We could therefore create a `SkyCoord` object for the center of NGC 188 as:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.645828Z", + "start_time": "2020-09-16T17:38:09.639004Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center = SkyCoord(12.11*u.deg, 85.26*u.deg)\n", + "ngc188_center" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It is generally recommended to explicitly specify the frame your coordinates are in. In this case, because ICRS is the default, this would be an equivalent way of creating our `SkyCoord` object:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.653983Z", + "start_time": "2020-09-16T17:38:09.648942Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center = SkyCoord(12.11*u.deg, 85.26*u.deg, frame='icrs')\n", + "ngc188_center" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we will see below, there are many other supported coordinate frames.\n", + "\n", + "In the above initializations, we passed in `astropy.units.Quantity` objects with angular units to specify the angular components of our sky coordinates. However, `SkyCoord` will also accept string-formatted coordinates either as separate strings for Right Ascension (RA) and Declination (Dec) or a single string:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:10.257871Z", + "start_time": "2020-09-16T17:38:10.230429Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SkyCoord('00h48m26.4s', '85d15m36s', frame='icrs')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some string representations do not explicitly define units, so you would have to specify the units explicitly if they are not included in the string:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:10.954565Z", + "start_time": "2020-09-16T17:38:10.948613Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SkyCoord('00:48:26.4 85:15:36', unit=(u.hour, u.deg), \n", + " frame='icrs')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For more information and examples on initializing `SkyCoord` objects, [see this documentation](http://docs.astropy.org/en/latest/coordinates/skycoord.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For the initializations above, we assumed that we already had the coordinate component values ready. If you do not know the coordinate values, and the object you are interested in is in [SESAME](http://cdsweb.u-strasbg.fr/cgi-bin/Sesame), you can also automatically look up and load coordinate values from the name of the object using the `SkyCoord.from_name()` class method1 ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#convenience-methods)). Note, however, that this requires an internet connection. It is safe to skip this cell if you are not connected to the internet because we already defined it above.\n", + "\n", + " 1If you don't know what a class method is, think of it like an alternative constructor for a `SkyCoord` object — calling `SkyCoord.from_name()` with a name gives you a new `SkyCoord` object. For more detailed background on what class methods are and when they're useful, see [this page](https://julien.danjou.info/blog/2013/guide-python-static-class-abstract-methods)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:14.284017Z", + "start_time": "2020-09-16T17:38:12.753656Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center = SkyCoord.from_name('NGC 188')\n", + "ngc188_center" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The `SkyCoord` object we created has various ways of accessing the information contained within it. All `SkyCoord` objects have attributes that allow you to retrieve the coordinate component data, but the component names will change depending on the coordinate frame of the `SkyCoord` you have. In our case, we have a `SkyCoord` with ICRS coordinates. The component names are therefore lower-case abbreviations of Right Ascension, `.ra`, and Declination, `.dec`:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:15.093584Z", + "start_time": "2020-09-16T17:38:15.089068Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(, )" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.ra, ngc188_center.dec" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These ``ra`` and ``dec`` attributes return specialized [``Quantity``](http://docs.astropy.org/en/stable/units/index.html) objects (actually, a subclass called [``Angle``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Angle.html), which in turn is subclassed by [``Latitude``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Latitude.html) and [``Longitude``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Longitude.html)). These objects store angles and provide pretty representations of those angles, as well as some useful attributes to quickly convert to common angle units. For example, in a Jupyter notebook, these objects know how to represent themselves using LaTeX:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:16.068773Z", + "start_time": "2020-09-16T17:38:16.064277Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$12^\\circ06{}^\\prime30{}^{\\prime\\prime}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.ra" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:16.539590Z", + "start_time": "2020-09-16T17:38:16.536245Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$85^\\circ15{}^\\prime18{}^{\\prime\\prime}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.dec" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also retrieve the component values in different units:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:17.043732Z", + "start_time": "2020-09-16T17:38:17.040026Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.8072222220000002, 0.2113302835374691, 12.10833333)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.ra.hour, ngc188_center.ra.radian, ngc188_center.ra.degree" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And format the values into strings with specified units ([docs](http://docs.astropy.org/en/latest/coordinates/formatting.html)), for example:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:17.531429Z", + "start_time": "2020-09-16T17:38:17.527344Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'0:48:26'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.ra.to_string(unit=u.hourangle, sep=':')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have a `SkyCoord` object for the center of NGC 188, we can select sources from the *Gaia* Data Release 2 catalog around this position to try to find stars that might be members of the cluster. To do this, we will use the `astroquery.gaia` module to query the *Gaia* data archive ([docs](https://astroquery.readthedocs.io/en/latest/gaia/gaia.html)).\n", + "\n", + "This requires an internet connection, but if it fails, the catalog file is included in the repository so you can load it locally (i.e., skip the next cell if you do not have an internet connection):" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:18.632175Z", + "start_time": "2020-09-16T17:38:18.063885Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Created TAP+ (v1.2.1) - Connection:\n", + "\tHost: gea.esac.esa.int\n", + "\tUse HTTPS: True\n", + "\tPort: 443\n", + "\tSSL Port: 443\n", + "Created TAP+ (v1.2.1) - Connection:\n", + "\tHost: geadata.esac.esa.int\n", + "\tUse HTTPS: True\n", + "\tPort: 443\n", + "\tSSL Port: 443\n" + ] + } + ], + "source": [ + "from astroquery.gaia import Gaia" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:23.206011Z", + "start_time": "2020-09-16T17:38:18.633774Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: Query finished. [astroquery.utils.tap.core]\n" + ] + } + ], + "source": [ + "job = Gaia.cone_search_async(ngc188_center, radius=0.5*u.deg)\n", + "table = job.get_results()\n", + "\n", + "# only keep stars brighter than G=19 magnitude\n", + "table = table[table['phot_g_mean_mag'] < 19*u.mag]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above cell may not work if you do not have an internet connection, so we have included the results table along with the notebook:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:24.618713Z", + "start_time": "2020-09-16T17:39:24.578513Z" + } + }, + "outputs": [], + "source": [ + "table = QTable.read('gaia_results.fits')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:25.112245Z", + "start_time": "2020-09-16T17:39:25.108718Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "4977" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(table)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This table now contains about 5000 stars from *Gaia* DR2 around the coordinate position of the center of NGC 188. Let's now construct a `SkyCoord` object with the results table. In the *Gaia* data archive, the ICRS coordinates of a source are given as column names `\"ra\"` and `\"dec\"`:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:25.572834Z", + "start_time": "2020-09-16T17:39:25.569263Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$[12.12844,~12.093813,~12.09833,~\\dots,~14.151609,~12.610737,~9.634002] \\; \\mathrm{{}^{\\circ}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table['ra']" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:25.910083Z", + "start_time": "2020-09-16T17:39:25.906079Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$[85.260769,~85.265226,~85.254431,~\\dots,~84.792813,~85.758263,~84.808327] \\; \\mathrm{{}^{\\circ}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table['dec']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that, because the *Gaia* archive provides data tables with associated units, and we read this table with the `QTable` object ([docs](http://docs.astropy.org/en/latest/table/mixin_columns.html#quantity-and-qtable)), the above columns are represented as `Quantity` objects with units of degrees. Note also that these columns contain many (>5000!) coordinate values. We can pass these directly in to `SkyCoord` to get a single `SkyCoord` object to represent all of these coordinates:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:26.529809Z", + "start_time": "2020-09-16T17:39:26.523670Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gaia_coords = SkyCoord(table['ra'], table['dec'])\n", + "gaia_coords" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercises" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create a `SkyCoord` of the open cluster the Pleiades (either by looking up the coordinates and passing them in, or by using the convenience method we learned about above):" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:30.011725Z", + "start_time": "2020-09-16T17:39:27.505686Z" + } + }, + "outputs": [], + "source": [ + "pleiades_center = SkyCoord.from_name('Pleiades')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using only a single method/function call on the `SkyCoord` object representing the center of NGC 188, print a string with the RA/Dec in the form 'HH:MM:SS.S DD:MM:SS.S'. Check your answer against [SIMBAD](http://simbad.u-strasbg.fr/simbad/), which will show you sexagesimal coordinates for the object.\n", + "\n", + "(Hint: `SkyCoord.to_string()` might be useful.)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:30.019690Z", + "start_time": "2020-09-16T17:39:30.014166Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'00:48:26.0 +85:15:18.0'" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_center.to_string(style=\"hmsdms\", sep=\":\", precision=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using a single method/function call on the `SkyCoord` object containing the results of our *Gaia* query, compute the angular separation between each resulting star and the coordinates of the cluster center.\n", + "\n", + "(Hint: `SkyCoord.separation()` might be useful.)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:30.153010Z", + "start_time": "2020-09-16T17:39:30.145641Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "[$0^\\circ00{}^\\prime21.6129{}^{\\prime\\prime}$\n", + " $0^\\circ00{}^\\prime37.0679{}^{\\prime\\prime}$\n", + " $0^\\circ00{}^\\prime03.6149{}^{\\prime\\prime}$ ...\n", + " $0^\\circ29{}^\\prime41.757{}^{\\prime\\prime}$\n", + " $0^\\circ30{}^\\prime17.2618{}^{\\prime\\prime}$\n", + " $0^\\circ29{}^\\prime43.1364{}^{\\prime\\prime}$]" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gaia_coords.separation(ngc188_center)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## More than just sky positions: Including distance information in `SkyCoord`\n", + "\n", + "So far, we have only used `SkyCoord` to represent sky positions (i.e., `ra` and `dec` only). It is sometimes useful to include distance information with the sky coordinates, thereby fully specifying the 3D position of a given source. To pass in distance information, `SkyCoord` accepts a keyword argument `distance`. So, if we knew the distance to NGC 188, we could also pass in a distance (as a `Quantity` object) using this argument:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:38.404240Z", + "start_time": "2020-09-16T17:39:38.401162Z" + } + }, + "outputs": [], + "source": [ + "ngc188_center_3d = SkyCoord(12.11*u.deg, 85.26*u.deg,\n", + " distance=1.96*u.kpc)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With our results from querying the *Gaia* catalog, we are also given parallax measurements to each star in the catalog. The default way of passing in a distance, as above, is to pass in a `Quantity` with a unit of length. However, `astropy.coordinates` also provides a specialized object, `Distance`, for handling common transformations of different distance representations ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#distance)). Among other things, this class supports passing in a parallax value (but note that the transformation to distance here inverts the parallax, which is not always a good idea!):" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:39.289966Z", + "start_time": "2020-09-16T17:39:39.285533Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$1000 \\; \\mathrm{pc}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Distance(parallax=1*u.mas)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The catalog of stars we queried from *Gaia* contains parallax information, so we can also create a `SkyCoord` object to represent the 3D positions of all of the *Gaia* stars. Here, we sub-select the table to return only stars with positive parallax values:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:40.184647Z", + "start_time": "2020-09-16T17:39:40.176705Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table_3d = table[table['parallax'] > 0]\n", + "\n", + "gaia_dist = Distance(parallax=table_3d['parallax'])\n", + "gaia_coords_3d = SkyCoord(table_3d['ra'], table_3d['dec'],\n", + " distance=gaia_dist)\n", + "gaia_coords_3d" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have 3D position information for both the cluster center, and for the stars we queried from *Gaia*, we can compute the 3D separation (distance) between all of the *Gaia* sources and the cluster center:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:41.221748Z", + "start_time": "2020-09-16T17:39:41.216464Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$[124.3366,~224.90021,~850.8522,~\\dots,~800.258,~452.71645,~919.43018] \\; \\mathrm{pc}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sep3d = gaia_coords_3d.separation_3d(ngc188_center_3d)\n", + "sep3d" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercises\n", + "\n", + "Using the 3D separation values, define a boolean mask to select candidate members of the cluster. Select all stars within 50 pc of the cluster center. How many candidate members of NGC 188 do we have, based on their 3D positions?" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:42.064993Z", + "start_time": "2020-09-16T17:39:42.060800Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "321" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_3d_mask = sep3d < 50*u.pc\n", + "ngc188_3d_mask.sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "In this tutorial, we have introduced `astropy.coordinates` as a way to store and represent astronomical sky coordinates. We used coordinate objects, via the `SkyCoord` class interface, to parse and change coordinate representations and units. We also demonstrated how to TODO" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb new file mode 100644 index 000000000..40966ea6d --- /dev/null +++ b/tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb @@ -0,0 +1,411 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Astronomical Coordinates 2: Transforming Between Coordinate Systems and Planning Observations\n", + "\n", + "## Authors\n", + "Adrian Price-Whelan\n", + "\n", + "## Learning Goals\n", + "* TODO\n", + "\n", + "## Keywords\n", + "coordinates\n", + "\n", + "\n", + "## Summary\n", + "\n", + "TODO: this is 3rd tutorial in a series..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "We start by importing some general packages we will need below:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.637389Z", + "start_time": "2020-09-16T17:38:08.065804Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "from astropy import units as u\n", + "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.io import fits\n", + "from astropy.table import QTable\n", + "from astropy.utils.data import download_file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Transforming between coordinate systems and planning observations\n", + "\n", + "Imagine that we found something exciting in our exploration of the data for NGC 188, and we would like to follow-up with our own observations of a given sources. `astropy.coordinates` provides tools to assist in planning observations, especially from ground-based observatories, as we will see below. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Introducting frame transformations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To understand the code in this section, it may help to read over the [overview of the astropy coordinates scheme](http://astropy.readthedocs.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts). The key concept to understand is that all coordinates in astropy are in particular reference \"frames\", and we can transform between a specific `SkyCoord` object in one frame to another. For example, we can transform our previously-defined center of NGC 188 from ICRS to another coordinate frame, like Galactic coordinates. In `astropy.coordinates`, this is typically done using the `.transform_to()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_center.transform_to('galactic')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This method either takes a string name of a coordinate frame, or an instance of a coordinate frame object itself. For example, the class representing the Galactic frame is:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import Galactic\n", + "ngc188_center.transform_to(Galactic())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For coordinate frames that do not require additional parameters, the transformations can also be accessed by attributes of the `SkyCoord` object. Another way to transform to the Galactic frame, then, is to do:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_center.galactic" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that changing frames also changes some of the attributes of the object, most often the names of the component attributes. Recall that for the ICRS frame the components were `ra` and `dec`; For the Galactic frame, the corresponding longitude and latitude are named `l` and `b`:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_gal = ngc188_center.galactic\n", + "ngc188_gal.l, ngc188_gal.b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that the names `.ra` and `.dec` will therefore *not* work on this transformed `SkyCoord`:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [], + "source": [ + "# THIS SHOULD ERROR:\n", + "ngc188_gal.ra" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using frame transformations to get to AltAz\n", + "\n", + "To determine whether a target is observable from a given observatory on Earth, we need to convert our coordinate to a frame local to an on-earth observer. The most common choice for such a frame is horizontal coordinates, or \"AltAz\" coordinates. The `AltAz` coordinate frame requires a few extra pieces of information to define: a location on Earth, and the time of observation. These are handled with the `EarthLocation` and `Time` objects, respectively:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import EarthLocation\n", + "from astropy.time import Time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's assume we will be observing at Kitt Peak in a few weeks. We can easily retrieve the Earth location of Kitt Peak using the `EarthLocation.of_site` method:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "observing_location = EarthLocation.of_site('Kitt Peak')\n", + "# List of all locations can be viewed using\n", + "# EarthLocation.get_site_names()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And let's pretend our observing run starts on Jan 20 this year:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "observing_time = Time('2020-01-20 1:00') # 1am UTC=6pm AZ mountain time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we use these to create an `AltAz` frame object. Note that this frame has even more information about the atmosphere, which can be used to correct for atmospheric refraction. Here we leave that alone, because the default is to ignore this effect (by setting the air pressure to 0)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import AltAz\n", + "\n", + "altaz = AltAz(location=observing_location, obstime=observing_time)\n", + "altaz" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can just transform our ICRS `SkyCoord` to `AltAz` to get the location in the sky over Kitt Peak at the requested time:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_center.transform_to(altaz)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alright, the cluster NGC 188 is up at 6PM local time at Kitt Peak, but that is pretty early to be observing. We could just try various times one at a time to see if the airmass is at a darker time, but we can do better: We can make an airmass plot for the whole night:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# this gives a Time object with an *array* of times\n", + "delta_hours = np.linspace(0, 6, 100)*u.hour\n", + "full_night_times = observing_time + delta_hours\n", + "full_night_altaz = AltAz(location=observing_location, obstime=full_night_times)\n", + "full_night_altaz_coords = ngc188_center.transform_to(full_night_altaz)\n", + "\n", + "plt.plot(delta_hours, full_night_altaz_coords.secz)\n", + "plt.xlabel('Hours from 6PM AZ time')\n", + "plt.ylabel('Airmass [Sec(z)]')\n", + "plt.ylim(0.9, 3)\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It looks like our source is observable, but at relatively high airmass, for most of the night, but the minimum airmass is at the start of the night. When can we start observing with proper dark skies? Astropy also provides a ``get_sun`` function that can be used to check the sky position of the sun to check, e.g., when we are in 18-degree twilight:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import get_sun\n", + "\n", + "full_night_sun_coos = get_sun(full_night_times).transform_to(full_night_altaz)\n", + "plt.plot(delta_hours, full_night_sun_coos.alt.deg)\n", + "plt.axhline(-18, color='k')\n", + "plt.xlabel('Hours from 6PM AZ time')\n", + "plt.ylabel('Sun altitude')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks like it's just below -18 degrees a little after 7PM local time, so we can start observing our target then!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercises" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Try converting the NGC 188 center coordinates to an equatorial frame at some other equinox a while in the past (e.g., J1900). Do you see the precession of the equinoxes?\n", + "\n", + "Hint: To see a diagram of the supported frames, see [here](http://docs.astropy.org/en/stable/coordinates/#module-astropy.coordinates). `FK5` has a parameter called 'equinox' - that looks promising!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import FK5\n", + "\n", + "ngc188_center.transform_to(FK5(equinox='J2000'))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_center.transform_to(FK5(equinox='J1900'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What time is Sunset on our observing night? Try solving for the time at which the Sun's altitude is closest to 0 (i.e. do not just eyeball the plot, like we did above)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.coordinates import Angle\n", + "from scipy.optimize import minimize\n", + "\n", + "def function_to_minimize(local_time):\n", + " time = observing_time + local_time*u.hour\n", + " aa_frame = AltAz(location=observing_location, obstime=time)\n", + " coo = get_sun(time).transform_to(aa_frame)\n", + " return coo.alt.deg**2\n", + "\n", + "optimization_result = minimize(function_to_minimize, [1]) # Initial guess: 1 hour after 6pm\n", + "\n", + "# this gives the local arizona time in PM, because the function we optimized uses the offset from 6pm\n", + "sunset_time_dec = 6. + optimization_result.x[0] \n", + "Angle(sunset_time_dec*u.hour)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb b/tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb new file mode 100644 index 000000000..0d49858bf --- /dev/null +++ b/tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb @@ -0,0 +1,624 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Astronomical Coordinates 3: Cross-matching Catalogs Using astropy.coordinates and astroquery\n", + "\n", + "## Authors\n", + "Adrian Price-Whelan\n", + "\n", + "## Learning Goals\n", + "* TODO\n", + "\n", + "## Keywords\n", + "coordinates, astroquery\n", + "\n", + "\n", + "## Summary\n", + "\n", + "TODO: this is 3rd tutorial in a series..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "We start by importing some general packages we will need below:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.637389Z", + "start_time": "2020-09-16T17:38:08.065804Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "from astropy import units as u\n", + "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.io import fits\n", + "from astropy.table import QTable\n", + "from astropy.utils.data import download_file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Cross-matching and comparing catalogs\n", + "\n", + "Let's recap what we have done so far: We defined a `SkyCoord` object to represent the center of an open cluster (NGC 188), we queried the *Gaia* DR2 catalog to select stars that are close (on the sky) to the center of the cluster, and we used the parallax values from *Gaia* to select stars that are near NGC 188 in 3D position.\n", + "\n", + "Imagine that we now want to cross-match our catalog of candidate members of NGC 188 to another catalog: Here we will cross-match the *Gaia* stars with the 2MASS photometric catalog to retrieve infrared magnitudes for these stars, and then plot a color-magnitude diagram. To do this, we first need to query the 2MASS catalog to retrieve all sources in a region around the center of NGC 188, as we did for *Gaia*. We will once again use `astroquery` to execute this query. This will again require an internet connection, but we have again included the results of this query in a file along with this notebook in case you are not connected to the internet.\n", + "\n", + "To query 2MASS, we will use the `astroquery.vizier` module ([docs](https://astroquery.readthedocs.io/en/latest/vizier/vizier.html)):" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:43.298680Z", + "start_time": "2020-09-16T17:39:43.235189Z" + } + }, + "outputs": [], + "source": [ + "from astroquery.vizier import Vizier" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:39:46.886655Z", + "start_time": "2020-09-16T17:39:43.722154Z" + } + }, + "outputs": [], + "source": [ + "# NOTE: skip this cell if you do not have an internet connection\n", + "\n", + "# II/246 is the catalog name for the main 2MASS photometric catalog\n", + "v = Vizier(catalog=\"II/246\") \n", + "v.ROW_LIMIT = -1\n", + "\n", + "result = v.query_region(ngc188_center, radius=0.5*u.deg)\n", + "tmass_table = result[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:06.820917Z", + "start_time": "2020-09-16T17:40:06.787774Z" + } + }, + "outputs": [], + "source": [ + "tmass_table = QTable.read('2MASS_results.fits')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As with the *Gaia* results table, we can now create a single `SkyCoord` object to represent all of the sources returned from our query to the 2MASS catalog. Let's look at the column names in this table by displaying the first few rows:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:07.934070Z", + "start_time": "2020-09-16T17:40:07.926244Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "QTable length=3\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
RAJ2000DEJ2000_2MASSJmage_JmagHmage_HmagKmage_KmagQflgRflgBflgCflgXflgAflg
degdegmagmagmagmagmagmag
float64float64bytes17float32float32float32float32float32float32bytes3bytes3bytes3bytes3uint8uint8
9.63353284.80835000383204+844830013.0790.03012.7420.03312.7290.035AAA22211100000
8.56247284.87362700341499+845225014.4590.02914.1030.04114.1660.063AAA22211100000
8.64531884.86858400343487+845206910.3560.02610.0570.03210.0000.020AAA22211100000
" + ], + "text/plain": [ + "\n", + " RAJ2000 DEJ2000 _2MASS Jmag ... Bflg Cflg Xflg Aflg\n", + " deg deg mag ... \n", + " float64 float64 bytes17 float32 ... bytes3 bytes3 uint8 uint8\n", + "---------- ---------- ---------------- ------- ... ------ ------ ----- -----\n", + " 9.633532 84.808350 00383204+8448300 13.079 ... 111 000 0 0\n", + " 8.562472 84.873627 00341499+8452250 14.459 ... 111 000 0 0\n", + " 8.645318 84.868584 00343487+8452069 10.356 ... 111 000 0 0" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmass_table[:3]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From looking at the column names, it looks like the two relevant sky coordinate columns are `RAJ2000` for `ra` and `DEJ2000` for `dec`:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:08.583643Z", + "start_time": "2020-09-16T17:40:08.578672Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5014" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tmass_coords = SkyCoord(tmass_table['RAJ2000'], \n", + " tmass_table['DEJ2000'])\n", + "len(tmass_coords)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now want to cross-match our *Gaia*-selected candidate members of NGC 188 with this table of photometry from 2MASS. Let's first use the mask we defined above (in the exercise) to select members of NGC 188 based on 3D position:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:09.242235Z", + "start_time": "2020-09-16T17:40:09.238162Z" + } + }, + "outputs": [], + "source": [ + "ngc188_3d_mask = sep3d < 50*u.pc\n", + "gaia_ngc188_members = gaia_coords_3d[ngc188_3d_mask]\n", + "gaia_ngc188_members_table = table_3d[ngc188_3d_mask]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can use the ``SkyCoord.match_to_catalog_sky`` method to match the two catalogs ([docs](http://docs.astropy.org/en/latest/coordinates/matchsep.html#astropy-coordinates-matching)). Note that order matters: Here we are matching 2MASS to *Gaia* because we ultimately want to make a color-magnitude diagram using the 2MASS photometry. `SkyCoord.match_to_catalog_sky` returns three objects: first, the indices into `gaia_ngc188_members` that get the closest matches in `tmass_coords`, second, the angular separation between each `tmass_coords` coordinate and the closest source in `gaia_ngc188_members`, and finally, the 3D distance between each `tmass_coords` coordinate and the closest source in `gaia_ngc188_members`. Here, the 3D distances will not be useful because the 2MASS coordinates do not have associated distance information:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:09.988381Z", + "start_time": "2020-09-16T17:40:09.839268Z" + } + }, + "outputs": [], + "source": [ + "idx_tmass, d2d_tmass, d3d_tmass = tmass_coords.match_to_catalog_sky(gaia_ngc188_members)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now look at the distribution of separations for all of the cross-matched sources:" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:11.592299Z", + "start_time": "2020-09-16T17:40:10.965965Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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AAMCELC4ujrx9Zn5+Pk3TrI/TrgkjAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAeSJwAAgA4kTwAAAB1IngAAADo4Mu0A9rP19fVcuHBhZPnCwsLIlY0BAIDJuHjxYlZXV4eWra2tpW3bsQaRJE87sLKykhMnTowsX15ezunTp/cwIgAA4OzZszlz5szQsqWlpczNzR0bp13J0w4cPXo0586dG1m+sLCwh9EAAABJcurUqZw8eXJo2fLycs6fPz/68rFNSJ52YG5uLseOjZW0AgAAE7K4uDjy9pn5+fk0TbM+TrsmjAAAAOhA8gQAANCB5AkAAKADyRMAAEAHkicAAIAOJE8AAAAdSJ4AAAA6kDwBAAB0IHkCAADoQPIEAADQgeQJAACggyPTDmA/W19fz4ULF0aWLywsZHFxcQ8jAgCYvKZpph0CbOrixYtZXV0dWra2tpa2bccaRJI87cDKykpOnDgxsnx5eTmnT5/ew4gAAICzZ8/mzJkzQ8uWlpYyNzd3bJx2JU87cPTo0Zw7d25k+cLCwh5GAwCwt9q2nXYIMNSpU6dy8uTJoWXLy8s5f/786MvHNiF52oG5ubkcOzZW0goAAEzI4uLiyNtn5ufn0zTN+jjtmjACAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAeSJwAAgA4kTwAAAB1IngAAADqQPAEAAHQgeQIAAOjgyLQD2M/W19dz4cKFkeULCwtZXFzcw4hgf2iaZtv7tG07gUgAgIPo4sWLWV1dHVq2traWtm3HGkSSPO3AyspKTpw4MbJ8eXk5p0+f3sOIAACAs2fP5syZM0PLlpaWMjc3d2ycdiVPO3D06NGcO3duZPnCwsIeRgP7T5fRpHFGqQCAw+3UqVM5efLk0LLl5eWcP39+9OVjm5A87cDc3FyOHRsraQUAACZkcXFx5O0z8/PzaZpmfZx2TRgBAADQgeQJAACgA8kTAABAB5InAACADkwYARwY1o8CACbJyBMAAEAHRp6AA8f6UcB+NOnz0lbnRudF2JqRJwAAgA6MPAEAzJDdvhdzuyNK7gWF0Yw8AQAAdCB5AgAA6EDyBAAA0IF7noCRZmndJLNAAQDTZuQJAACgAyNPwJamuW6SWZ8AgFlh5AkAAKADyRMAAEAHkicAAIAO3PMEAHAImLUUds7IEwAAQAdGngAADjCzlsLuMfIEAADQgeQJAACgA8kTAABAB+552oH19fVcuHBhZPnCwkIWFxf3MCKYvv02m9Ok4nWPAQBMz8WLF7O6ujq0bG1tLW3bjjWIJHnagZWVlZw4cWJk+fLyck6fPr2HEQEAAGfPns2ZM2eGli0tLWVubu7YOO1Knnbg6NGjOXfu3MjyhYWFPYwGpmu/jbRMKt79NvIGAAfRqVOncvLkyaFly8vLOX/+/OjLxzYhedqBubm5HDs2VtIKAABMyOLi4sjbZ+bn59M0zfo47Uqe4IAYZ8Rjv40WAQBMk9n2AAAAOjDyBAdMl9Ek9+UAAGyfkScAAIAOJE8AAAAdSJ4AAAA6kDwBAAB0YMIIOMRMHAEA0J2RJwAAgA6MPMEhZHFcAIDtM/IEAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAeSJwAAgA4kTwAAAB1IngAAADqQPAEAAHQgeQIAAOhA8gQAANCB5AkAAKADyVNfKeXflFKeN+04AACA2SR5SlJKuXeS75x2HAAAwOw6Mu0ApqmUciTJ30/y4iR/b8rhAAAAM+zQJk+llI+m9/mPJLliyuEAAAAzbk+Tp1LKo5P8YZJraq23jtnGVyR5VpLHJmn7b78lyYtqrW/p2k6t9bMH2rw1yUPGiQcAADgc9vqep28Zd8dSyhWllJcleX2StyV5WK31qiQPT/L2JL9bSnlpKWV+d0IFAAC4056NPJVSHpfk+8bc90iSVyd5UpJn11pffKms1rqa5AWllNuT/FySK0sp31hr/fQuhA0AAJBkD0aeSilXllJ+MMlrd3C856eXON2W5CUj6rw4yfuTPDXJj495HAAAgKEmkjyVUm4opdxaSnl/kvekl/zcc8y2HpXkuf2Xr6i1rg+r1x9pekX/5Y+WUh45zvEAAACGmUjyVGt9Tq316lrrVbXW+6Q3ajSu5ye5rL/95i3qXpow4rL+frCvNU3T+cFs8bsDgINnphfJLaU8JMnXDrz19i12uWlg+8mllKt2PyoAAOAwmunkKck35M4YP1Zr/eBmlWutH0iy2n95WZKvn2BssGfatu38YLr8rgDg4Jr15OnxA9u3ddznfQPbT9jFWAAAgENs1pOnRw9sf7jjPisD24/ZxVgAAIBDbGaTp1LKA5IsDbz1kY67/s3A9r1LKcd2LyoAAOCw2rNFcsfwgA2v7+i438Z6D0xyYefh3N3NN9+cUsrY+9dadzEa9guzqwHsjXHOt7t9P6JzPkzGTr6DLy0t5ciR8dKgmR15SrKw4fUnO+63sd7Gdob5rA3PAAAAdzHLI09rG15fNrTW3W2st7GdJEkp5eb+5kKS+/e3f6CU8qQkbZLfqLX+2GYHuvbaa/Pyl7+8Y1hwV2ZbA9gbXc63kx4hcs6H3bWTK7ie+cxn5pZbbhlr31lOnj664fXlHfe7Yot2kiS11mu3HREAAHBozfJle+9LbwToki6X3yXJPQe229x16nIAAICxzGzyVGv9RJI/H3jryo67Dta7pdZ6++5FBQAAHFYzmzz1vXlgu+uU458zsP2mXYwFAAA4xGb5nqck+Y0kp/rbV5VS7rHZSFIp5bOSPGjgrV+fZHDr6+u5cGH0LOgLCwtZXFycZAjMCFPRshNd+8+kbnp3IzsAB83Fixezuro6tGxtbS1t2441iDTrydPrknwgvYRoLsnDk/zJJvUfkeTSN4fbkrxhksGtrKzkxIkTI8uXl5dz+vTpSYYAAABscPbs2Zw5c2Zo2dLSUubm5rpe1XYXM5081VrXSik/m+SF/bdOZPPkaTCTeWGt9dMTCy7J0aNHc+7cuZHlCwtd57jgoPAXfLaja3+Z1GiSEVMADqpTp07l5MmTQ8uWl5dz/vz50ZePbWKmk6e+FyX5rvRGlR6f5CWb1H18//ndW9TbFXNzczl2bKykFQAAmJDFxcWRt8/Mz8+naZr1cdqd9QkjUmv9ZJKnJ/l4kieWUq4eVq+Uck2SJyRZTXKy1jp0cVwAAIBx7FXydP8tXm+q1vrHSZ6c5PYkryylLA2Wl1LuleRV6SVYT6q1vnMHsQIAANzNRC7bK6XckOTrB9564IYqbyylDF5n+Opa63M2a7PW+vpSyqOT/EKS95RSfjW9BXAfkuRbk7wryfW11vfs+AMAAABsMJHkqZ8IbZoMjdnuu5N8ZSnl85N8aZL7JfmLJF9da/3T3T4eAADAJfthwoi7qbW+K72RJgAAgD2xL5OnWWGRXADYW6bYB7o4rIvkzjSL5AIAwOw5lIvkzjqL5ALAdFiUHNjMYV4kd2ZZJBcAAGbPoV0kFwAAYBZIngAAADqQPAEAAHQgeQIAAOhA8gQAANCB2fZ2wCK5wGExzsKkppJmP9pOX9fHYXZZJHcGWSQXAABmj0VyZ5BFcoHDpstf2scZpYJp284okj4Os88iuTPIIrkAADB7LJILAAAwRZInAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6MBU5Tuwvr6eCxdGTxG/sLAwcopEZp91PADYjP8nYHZdvHgxq6urQ8vW1tbStu1Yg0iSpx1YWVnJiRMnRpYvLy/n9OnTexgRAABw9uzZnDlzZmjZ0tJS5ubmxlqsVfK0A0ePHs25c+dGli8sLOxhNEzKdladB+Dg8/8CzL5Tp07l5MmTQ8uWl5dz/vz50ZePbULytANzc3M5dmyspBUAAJiQxcXFkbfPzM/Pp2ma9XHaNWEEAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAdHph3Afra+vp4LFy6MLF9YWBi5sjHT0TTNtEMABozzb7Jt2wlEAsBBcvHixayurg4tW1tbS9u2Yw0iSZ52YGVlJSdOnBhZvry8nNOnT+9hRAAAwNmzZ3PmzJmhZUtLS5mbmzs2TruSpx04evRozp07N7J8YWFhD6NhO/zlGmZLl3+TRo4B6OrUqVM5efLk0LLl5eWcP39+9OVjm5A87cDc3FyOHRsraQUAACZkcXFx5O0z8/PzaZpmfZx2TRgBAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAdHph3Afra+vp4LFy6MLF9YWMji4uIeRnSwNE2zrfpt204oEgAA9pOLFy9mdXV1aNna2lrath1rEEnytAMrKys5ceLEyPLl5eWcPn16DyMCAADOnj2bM2fODC1bWlrK3NzcsXHalTztwNGjR3Pu3LmR5QsLC3sYzcG11YjSdkeoAAA42E6dOpWTJ08OLVteXs758+dHXz62CcnTDszNzeXYsbGSVgAAYEIWFxdH3j4zPz+fpmnWx2nXhBEAAAAdSJ4AAAA6kDwBAAB0IHkCAADoQPIEAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAdHph3Afra+vp4LFy6MLF9YWMji4uIeRnS4NU0z7RBgoibVx/fbv53txNu27QQjAWBWXbx4Maurq0PL1tbW0rbtWINIkqcdWFlZyYkTJ0aWLy8v5/Tp03sYEQAAcPbs2Zw5c2Zo2dLSUubm5o6N067kaQeOHj2ac+fOjSxfWFjYw2gOL39Z5qCbVB/fb/92thPvfhtNA2B3nTp1KidPnhxatry8nPPnz4++fGwTkqcdmJuby7FjYyWtAADAhCwuLo68fWZ+fj5N06yP064JIwAAADqQPAEAAHQgeQIAAOhA8gQAANCB5AkAAKADyRMAAEAHkicAAIAOJE8AAAAdSJ4AAAA6kDwBAAB0IHkCAADoQPIEAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAeSJwAAgA4kTwAAAB0cmXYA+9n6+nouXLgwsnxhYSGLi4t7GBHA7GiaZtohTM04n71t2wlEMl2HuQ8A03Xx4sWsrq4OLVtbW0vbtmMNIkmedmBlZSUnTpwYWb68vJzTp0/vYUQAAMDZs2dz5syZoWVLS0uZm5s7Nk67kqcdOHr0aM6dOzeyfGFhYQ+jAZgNB3EEZVxdfhaHYXRGnwD22qlTp3Ly5MmhZcvLyzl//vzoy8c2IXnagbm5uRw7NlbSCgAATMji4uLI22fm5+fTNM36OO2aMAIAAKADyRMAAEAHkicAAIAOJE8AAAAdSJ4AAAA6kDwBAAB0IHkCAADoQPIEAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AQAAdCB5AgAA6EDyBAAA0IHkCQAAoAPJEwAAQAeSJwAAgA4kTwAAAB1IngAAADqQPAEAAHQgeQIAAOhA8gQAANCB5AkAAKADyRMAAEAHkicAAIAOJE8AAAAdHJl2ANNQSjmW5HlJvirJp5LcnuSltdZfmmZcAADA7Dp0I0+llAcnuSnJxSSPqrVem+RpSZZLKWenGhwAADCzDlXyVEq5R5LXJvnrWusP1VrXkqTW+r4k35HkO0opPzTNGAEAgNl0qJKnJN+V5AuS/NrGglrrjUnek+R5pZT773VgAADAbNuTe55KKY9O8odJrqm13jpmG1+R5FlJHpuk7b/9liQvqrW+pcP+lyV5bv/lW0dU+4Mk35rk+5P8yDhxAgAAB9NejTx9y7g7llKuKKW8LMnrk7wtycNqrVcleXiStyf53VLKS0sp81s09UVJrupv/9mIOn/af37KuPECAAAH08STp1LK45J830cdMa8AACAASURBVJj7Hkny6iTfnuQHaq0/U2tdTZJa62qt9QVJnpPke5K8sj+6NMo/7D+v1Vr/akSdv+w/P6KU8qBxYgYAAA6miSVPpZQrSyk/mN4EDeMe5/lJnpTktiQvGVHnxUnen+SpSX58k7Y+t//8kU3q/M3A9kM7xggAABwCu5o8lVJuKKXcWkp5f3qTLzw/yT3HbOtRufMepVfUWteH1au1fjrJK/ovf7SU8sgRTV7Zf75jk8PePrBt0ggAAOAzdjV5qrU+p9Z6da31qlrrfdIbNRrX85NcugzvzVvUvTRhxGX9/YZpOhxzsE47shYAAHDozORU5aWUhyT52oG33r7FLjcNbD+5lHLVkDqX7nO6YpN2Lh/Y/vAWxwQAAA6RmUyeknxD7oztY7XWD25Wudb6gSSr/ZeXJfn6IdXO95/vs0lT9x1stkOcAADAITGrydPjB7Zv67jP+wa2nzCk/A395/lNFsG9NMPeLbXW93c8LgAAcAjMavL06IHtrpfPrQxsP2ZI+dty51TkDx/Rxuf1n1/b8ZgAAMAhMXPJUynlAUmWBt7abGrxQYPTjN+7lHJssLA/K98L+i9PjGjjS5J8Isl/6HhMAADgkDgy7QCGeMCG15tNLb5ZvQcmubDhvf+Y5NuSPD3JTw8WlFKuS/KwJM+ttW7cb6ibb745pZSO4d1drTu/rappukwiuDfa1gSFwME1S+fb3XaQPxtwMO3kO/jS0lKOHBkvDZq5kackCxtef7LjfhvrbWwntdbbk3xdkqOllBeUUuaTz8zu98tJXlZr/ZltxgsAABwCszjytLbh9WVDa93dxnob20mS1Fpv648y/dsk7yylfCq9xXF/vtb6n7YT6LXXXpuXv/zl29llYqY56uMvlsBhcpBH2Q/yZwMOlp1cwfXMZz4zt9xyy1j7zmLy9NENry8fWuvuNq7ftLGdz+hflve92wkKAAA43Gbxsr33JRn809fdLr8b4Z4D223uOnU5AADAjszcyFOt9ROllD9Pb/KGJLmy466D9W7p39904B0/fnzaIUBnl27u3I3JUmCS9FX2C32V/eQgfG+dxZGnJHnzwPaxkbXu6nMGtt+0i7EAAADM3shT328kOdXfvqqUco/NRpJKKZ+V5EEDb/36JIO7ZH19PRcujJ7VfGFhIYuLi3sRCgAA0Hfx4sWsrq4OLVtbW0vbtmMNIs1q8vS6JB9ILyGaS/LwJH+ySf1HJLk05dttSd4w0ej6VlZWcuLEqPV2k+Xl5Zw+fXovQgEAAPrOnj2bM2fODC1bWlrK3Nxc16vb7mImk6da61op5WeTvLD/1olsnjwNZjAvrLV+emLBDTh69GjOnTs3snxhoetcFwAAwG45depUTp48ObRseXk558+fH3352CZmMnnqe1GS70pvVOnxSV6ySd3H95/fvUW9XTU3N5djx8ZKWgEAgAlZXFwcefvM/Px8mqZZH6fdWZ0wIrXWTyZ5epKPJ3liKeXqYfVKKdckeUKS1SQna61DF8cFAADYiUknT/ff4vWmaq1/nOTJSW5P8spSytJgeSnlXklelV6C9aRa6zt3ECsAAMBIu5o8lVJuKKXceumR5OUbqrxxsLyUcsNWbdZaX5/k0eklUO8ppfxUKeX7Sik/leTPkvxdkutrrb+3m59lpy5evJif+7mfy8WLF3dUr2s7B8W0Pu8kjrsbbY7bxnb2262+upN496OD1Fd3o91Z66v3uc990jTNpnUOS19NDlZ/nda5dbv7OLeO5yD11d1od9bOrfpqkrZt983j+PHjn3/8+PHvOX78+I8cP378u48fP/5504rluuuuu+kZz3hGO8qHPvSh9vjx4+2HPvShkXW61Nuq/Pjx4+3x48c3PcakJWl7XWnnBj/vbra7nePOUpvjtrGd/Xarr3apMwv9dbdMos9M87g7bXcW++pll102dlvD+uqkzkl7ca7b6vNOKoaDdG7d7j57dW49SOfVtnVu3a39fQ/Y3DOe8Yz2uuuuu6kdIweY5Qkj7qbW+q4k75p2HJdsts7Thz/84T2OBgAASA7fOk/7wlbrPAEAAHvvUK3ztF9sts7Thz/84Xzd133dHkcEAAAcxnWeZp51ngAAYPYcunWeAAAAZknTtu20Y9iXrr/++r++4oor7nvNNdcMLV9bW8uf/dmf5eEPf3jm5+dHtrNVva3Kb7755iTJtddeO+Yn2bmbbropSXLdddftuK3Bz/uOd7xj19rdznE3+33tdZvjtrGd/Xarr3apMwv9dbdMos9M87g7bXcW++onP/nJfOEXfuFYbQ3rq7t5rhs0qXYHbfV5JxXDQTq3bnefvTq3HqTzauLculv7+x6wufe+97254447/ubGG2+833b3lTyN6frrr39vknsluXVYedu2c23bHmua5sJmw4Jb1evazkExrc87iePuRpvjtrGd/Xarr+4k3v3oIPXV3WhXX51tB6m/Tuvcut199NfxHKS+uhvtOrdOzNVJ/u7GG28cPgqyCckTAABAB+55AgAA6EDyBAAA0IGpyhmplHJFktNJvjHJg5NcnuTPk7w6yYtqrR+fYniwqVLKv0lyWa31edOOhcOtlHIsyfOSfFWSTyW5PclLa62/NM24oAvnUmbRNL+jGnliqFLKUpLfSrKS5LG11mNJvijJbUl+Osk7SikPnmKIMFIp5d5JvnPacUD/PHlTkotJHlVrvTbJ05Isl1LOTjU42IJzKbNo2t9RJU+M8tNJfrLW+rJa6x1JUms9n16G/44kJcl/nWJ8cDellCOllC9M76T696YdD4dbKeUeSV6b5K9rrT9Ua11Lklrr+5J8R5LvKKX80DRjhGGcS5lxU/2OKnnibkopc0meUGv9nY1ltdb1JDf0X35xKeWxexocjFBK+WiSjyZ5a5IvnnI4kCTfleQLkvzaxoJa641J3pPkeaWU++91YDCKcymzbBa+o7rnaQ+VUh6d5A+TXFNrvXXMNr4iybOSPDbJpXnm35Le9Z1v2Y04k1yZ5MGllKckeW2/Mw66ZWD7C5L8/i4dlxmyj/prkqTW+tkDx701yUN2s332j1nou6WUy5I8t//yrSOq/UGSb03y/Ul+ZJw4ORhmoc9e4lzKKDPST6f+HdXI0976lnF3LKVcUUp5WZLXJ3lbkofVWq9K8vAkb0/yu6WUl5ZSdmNZ7L9Osp7kNUneV0p55IbywZvw7rkLx2M27Zf+ChvNQt/9oiRX9bf/bESdP+0/P2XceDkwZqHPwlZmoZ9O/Tuqkac9Ukp5XJLvG3PfI+nNHvKkJM+utb74UlmtdTXJC0optyf5uSRXllK+sdb66XFjrbV+qt/Bvye9//yfkuTdA1WuHtj+g3GPw+zaT/0VBs1Q3/2H/ee1Wutfjajzl/3nR5RSHlRr/cA4cbO/zVCfhZFmpZ/OwndUI08TVkq5spTyg+ndNDzuz/v56XW425K8ZESdFyd5f5KnJvnxMY8z6NnpTQH5c0k2zgh16a+kv11rffMuHIsZsY/7K4fcDPbdz+0/f2STOn8zsP3QjjFyQMxgn4W7mdF+OtXvqEaeJqCUckOSr0/v57uQZD5jDh2WUh6VO6+bf8WQazuTJLXWT5dSXpHkh5L8aCnlVbXWdw+r20Wt9VNJzgyJ59ok35ze1LvfNG77zI6D0F85nGa8717Zf75jk8PePrBt0ohDYMb7LCSZ/X467e+oRp4moNb6nFrr1bXWq2qt90kv2x7X85Nc1t/eKoO+dKPdZf39dlUp5YHpXWP6e0keV2v96G4fg713UPsrB9+M992mwzEH67Qja3FgzHifhST7s5/u5XdUI08zrJTykCRfO/DW27fY5aaB7SeXUq6qtb5/Q5ufneSzc3e311o/tEksD0vyv5L89yQ/4pppNpql/grbMYm+m+TSfU5XbNLO5QPbH97imPAZE+qzsKv2qp/u9XdUI0+z7Rty5+/oY7XWD25WuX+z8Wr/5WXpDblu9P1J3jvk8cpR7ZZSvizJbyd5bq31hyVOjDAT/RXGMIm+e77/fJ9NmrrvYLMd4oRLJtFnYbdNvJ9O4zuq5Gm2PX5g+7aO+7xvYPsJQ8pfmd7NdBsfPzassVLK09K7rvTxtdbXbCh7UCnlczrGxcE39f4KY5pE331D/3l+k0VwH9R/vsUoANs0iT4Lu22i/XRa31FdtjfbHj2w3fWSjpWB7cdsLKy13pK7LiA2UinliUn+RZIvr7V+bEiVpya5MYnLp0im3F9hB3a976a3jslfJnlgeuuYDJuu/PP6z6/teEy4ZBJ9FnbbxPrpNL+jGnmaUaWUByRZGnhrs+luBw1OfXvvUsqxMY9/vyS/nOQZIzplkpxIYtIIpt5fYVyT6rv9S0de0H95YkQbX5LkE0n+Q8djgvMt+8Ik++m0v6MaeZpdD9jwerPpbjer98AkF8Y4/renNy3lZ5dSNs4adSTJY5M8LckPjNE2B8+0+yuMa5J99z8m+bYkT0/y04MFpZTrkjwsvev09Xm2w/mW/WCS/XSq31ElT7NrYcPrT3bcb2O9je109TX9fW/eop6RJ5Lp99eNPmvDM4wysb5ba729lPJ1Sd5aSnlBkh+tta71Z6D65SQvq7X+zLYj5rDby/OtcynjmmQ/nep3VMnT7Frb8PqyobXubmO9je10dU2HOnfUWm/fuhqHwLT7a0opl06iC7lzwdEfKKU8Kb01dH6j1mqiCTaaaN+ttd7WH2X6t0neWUr5VHqL4/58rfU/bStS6Jlon3UuZZdMsp9O9Tuq5Gl2bcyWLx9a6+42rikyVtZda33oOPtxaE21vyZJrfXacfflUJt43+1flve92wkKNjHRPutcyi6ZWD+d9ndUE0bMrvflrivOd72c6Z4D223uOuUjTIr+yn6l77Lf6LPsBwe2n0qeZlSt9RNJ/nzgrSs77jpY7xaX1bEX9Ff2K32X/UafZT84yP1U8jTb3jyw3XVK0cEFwd60i7HAVvRX9it9l/1Gn2U/OJD9VPI0235jYPuqUso9NqtcSvms3LlifZL8+kSiguH0V/YrfZf9Rp9lPziQ/VTyNNtel+QD/e259Fap38wjklya7/62JG+YUFwwjP7KfqXvst/os+wHB7KfSp5mWK11LcnPDrw1apX6YeUv7K9wD3tCf2W/0nfZb/RZ9oOD2k8lT7PvRUlu6W8/fou6l8rfneQlE4sIRtNf2a/0XfYbfZb94MD1U8nTjKu1fjLJ05N8PMkTSylXD6tXSrkmyROSrCY52c/2YU/pr+xX+i77jT7LfnAQ+6nkaW/cf4vXm6q1/nGSJ6e3Kv0rSylLg+WllHsleVV6HfNJtdZ37iBW0F/Zr/Rd9ht9lv1APx3QtG27dS22pZRyQ5KvH3jrgUnmB17fnuTCwOtX11qf06HdRyb5hfRuuPvV9BYOe0iSb03yriT/vNb6np1Fz2Gjv7Jf6bvsN/os+4F+ujnJ0z5USvn8JF+a5H5JVpK8udb6p9ONCobTX9mv9F32G32W/WC/91PJEwAAQAfueQIAAOhA8gQAANCB5AkAAKADyRMAAEAHkicAAIAOJE8AAAAdSJ4AAAA6kDwBAAB0IHkCAADoQPIEAADQgeQJAACgA8kTAABAB5InAACADiRPAAAAHUieAAAAOpA8AcCMaprm25qmaTd5vGPaMbJ3mqZ5zhb94femHSMcdJInAKaqaZp7N03zmqZpPtY0zRubpnnwtGOaYb+Z5EeTPDnJQ5P8g+mGw15q2/aGJPdL8hVJnpXkpUkuTjUoOGSOTDsAAA69f53kKf3tL09yQ5Jvml44M+u2tm3/ybSDYLratv2bJG/qP9I0zUqSH5tqUHCIGHkCYNc0TfOVTdO029ztURteX7tb8Rww7512AMykOu0A4DCRPAEwbX+04fUfTyUKANiC5AmA3bQwxj4/neQ16d278cYkz93ViABgl7jnCYDd9IDt7tC27ceSPG0CsQDArjLyBMBu+oJpBwAAkyJ5AmA3PX7aAQDApEieANgVTdP8oyTHpx0HAEyK5AmAHWua5ookPzPtOABgkkwYAUxU0zT3TvKVSR6a3jnntiS/07btX+2w3auTfEWSBya5PcmfJXlj27arO2m33/aj0ot5Ib01VF7ftu1Hx2zrc5N8aZLPSfKJJOeTvLW/0OWuaZrm4Un+cZImyR+1bfvmDvscSfJlST4/yVKSv0nyJ0ne1rbtpzse97L01mX62ST/YLzod6Yfwxend7/VvdL7HP+nbdu37+IxLk/yuPQ+63qS/5teP17ZrWNMWtM0fz/JY5Jcmd7Mhrek1xcv7vJxrkvv3+Ynkvxh199D/2f8pen9jO+Z5INJ/qRt285T1zdNc//0/u1enaRN79/v77Rt+7fb+AjD2v28JI9Ncv/0fnY3J3lL27afHLO9q9P7t/egJKu587y4q78LYPcZeQImomma+aZpfjLJX6b3xfoxST43yfcneX/TNL/S/6KTpmm+sV+3S7ulaZr/keQvkjwnycOS/JMk/1+/3X/ZNE0zYt/nNU3TDnm8v19+j6ZpXpHk1Ukend4XuV9L8n+bpvmxfrLR9fNf1zTN7yd5Z5Knp5c8/uMkZ5N8sGma/9w0zVUd2vmVETF/W798vmmaFyX5zfSSh69N8qamaf5n0zRDpw1vep6V3pfTX03yVUkenuSbk7w5yfuapvn+rT5vP4ZPpbcu01dvKBsW8/O289k6/Gyapmm+I72+8Ib07rc6nt7Mff+naZp3NU3zpA7tDIuhHSh/anpflr87vT781CSvTPKXTdP8u1H9bVY0TfO4pmnemeQtSZ6cpCT5p0lelV5fPNM0zX07tPN7I35WX9kvX2qa5r8lOZfkkUm+NclNTdO8rJ/gjmr3SNM0/zLJ+9Obsv6r0vs9PjXJG5umeXvTNI/dIralpmle0m/jJ5L8P/0Yntf/jD/bNM1iv+5zm6b5zq0+b7/uFzRN8+Yk707ynen9O/6mJL+T5Namab6lSzsD7T2yaZrfSq/PLid5RHrnmp/ox/nCpmnusZ02gT3Wtq2Hh4fHrj+S/Lf0vlh/T5K5DWWPTPL6JCtJfiDJ65L8ZIc2H53kI+n9Rfn0hrKvSfLJftmLRux/zyRH+49/3a/bpveF67Ik/zPJDw7G24/1L/v1fjPJPTrE+bj0/ur+K0mODYnhF/rtfSTJl2zR1mI/3quTvG8g5m/rl78syc8nuXxgnw/16/zUiDZ/Mb2/nn9rkss2lH1+knf1939DkoVNYrti4Of5BQOxtQPvDz7uuZ3PtsXP5Uj/59uml/Ddf0P5Q9MbWWmTPG+Lti7F988GP0O/7Lv7P4eN7X/fQN2fmOC/o28bOM7vjbH/Nyf5dJKfSnKvDWX3S/Lf+22/L8nDtmjr3v2f0yPTGy25FNdX9n8fr0vyr5I0A319vV/ne0e0ea8kv9uv84qN/S3JPdK7HHQtyTNHtDGf5K39Pv2UIeVfnOTGJLcm+d4kb0/ynR1+dv80yR3pnVe+YUPZdwx8/h/q+Lv4hvTOCx9J8g+HlD86vZGyGzf+HCbZRzw8PLb3mHoAHh4eB++R3ghAm+SXNqkzl94ozKX/9DdNnpJcn+Rv+3VfNqLOzw2094NbtPe4gbrvT29E7N+MqPuEgbr/ZYt2PyvJB5K87dKXyCF1jqQ3ktH26y51/Ln+3kAc35bknyd5zYY6/36gzh8PaePr+mXP3uQ4XzLQxs93jO3qgX3aMfrMXT7bFnWbJL/er3shyX1G1HtYepd0tkleuN3PkN5liDcmWRxR/0/69W5PctVu/NsZcoyxvxint+bWx5O8epM69+7/DNskf5QNyfQm+906ENdXJnlBkv8wUD6X3gjUpTq/MeLfwf/ul9+SZH6T4/1qeonH5w0p+95+Gz+2yf5XJPmtgXg2TZ6SPDF3/jHmx0fUeW2/fD3J07Zo72vSSwDbJN+8Sb2H9Y/7q3vRRzw8PLb/cNkeMAlP6T//n1EV2rZdT+9Lz81bNda/fOyX0/sr9Xp6l+IM8+KB7ed1uRSp735JTqX31/lhsf5mepemJck/a5rmKcPq9T0h/fuw2rZtR7T3qfRGudKve7JjnIMWkjw7vb+AJ0mapvmnSX5koM6nhux3qv98+6iG27b9gySX7kn7rkuXO82Q703v8rMk+X/btv3IsEpt274nyX/pv/zBpjcb4Ha8JMlyO/o+lFf0n69Ib4Rn1jw9vWR+s9/136aXuCa9S92+elTdTTw4yT9K8sMD7z0ryTMHXg/riz+cXuKV9EaL1zY5xhvTG4X64SFlXc43d6T37+zCJsdI8pn7NM+mN6L1d0luGFH1Fy7tkuSGpmnmR7R33yT/Ob1k8a/SuxR4lD9Pb6T7mU3TlK1iBfae5AmYhIf0nx+6WaX+l6VhX4Y2enZ6N5EnyZvatr1tRHvvSfLe/sulJP+iQ9tJ70vZf9niy9urB7b//Sb3uVz6wvOlTdO8s2marxlR7y8Gtr+sY5yDnpPeiMLgRBZXb6jzyk3ie0nTNK9qmubKLeK7Ir3LiWZC0zQPyF2T3GGfcdArBrZfus37Sdbatn3rJuV1YHuc3+GkXfpdP6Npmrc2TXP9iHo77YvPT2+EcnDyhKs31LnL76nf7/7VwFv/a1jDTdPMNU3zU7nzDyOPG1Kt6/nmo/1Yt/Jvkxzrb7+mbduPj6j3v3NnYnp1epd9DvPD6U00kSSva0dMxtI0zRemN/r3kPS+n31Vh1iBPSZ5Aibh0peoZzVNs9UXgN9Mb6a8ofo3mj9n4K3f3aK9tw1sP3lkrbt73Rblg1+iPy/Jl4+o96GB7Wtz58jHRncMbH/OFsce5iHpjYwM+pX0JgG4Jf3LqDaJ70iSb8zo5HWn8U3Ks9MbgUySD7Zt+97NKif5g/Tu+Ul6kxA8fRvH+h9blH94YPvvbaPdvTLYF78kyUtH1Nvp7/q+SV6+4b2fTS8hend69wS9ekP5t6d3z1uS/G3btn+R4S710UtJ772H1Ll0vvnxpjdT5mZ+OcnImTObpvns9O7TvGTk+aafLL5j4K27nW+a3hT+3zXw1h9tEtuv5a4zVg77rMCUSZ6ASfjD/vM9k7yhaZpfaJrmQcMq9i9t+5VN2npsetP5XvLOLY49+CXs7zdNc58t6ie9ewW2aveWDa+/dkS91yR5z8DrLlNZX96hzkY3t237wcE32rb9WNu2J9u2/by2bX94xF+4fyZ3JhOTjG9SBpOfLS/5bHtT19868Nao0YFh3riNukNnNpyyX8pdf7+T+l2/ccOoU9q2/UDbtk9s2/bz27YddtnbUwe2RyVOyZ0jNpfcOKTOpfPN/9/evcfcVZV5HP8+FKgUCsi0UBVIy1ACSEGoBAEtWFSu4zARcbzEVIXIDMnUGIUqENCg4IV4j7GiFUeMJgqDMMNNoaIoyMUZg+B1ipdqsYLKVZTw+Meztmed/e5z9jrvec976fv7JDs5l7X3WfucfXbW2nut59kNuNPMLuw1ZNfdnyAuMPTycjodNRjsfLPCzOrtqhcD+Tno5/RWsq8iMsXUeRKRUVgLPJgeb0VEJvt/M7vMzA6rF3b3i9393B7bOqr2/Bctn51fbd+KCAXc5g9pHlLbdvNhfYc3FUqN9UOB1cB5xByoUWjN49TE3a8j6nc+cUX8koms1CiZ2Z7AkuylXxWumg/zfNEAIed/XVgOYt7LtJI618uAs4i7NwOF1R7AQMdiuhuTDyHc1KssMVeoyhO1geahuB+ic/dsW+AcItz+x81s/3phdz/D3S/t8XnDnG92oTPcr1IPsd5vX88i7qI9TQTfGKTzLiKTRElyRWTCufvmlF/nSjrDgLYlGm+vN7O7iSFnX+wzn6BS7/y0JZGsb6/XnJ7cE20F3N3N7BGigQSd+SRNZR8GPlp/3SKv1fPS0pp/qMXG8a7o7t+nNnwoDY9cSqd++w1Vu9Go16kxUESDvNxcogP204L1ZkwC3F7cfRNxt7GLRY6x6rceZHhrk0GPxb2I1ACVR3oVTPOUlpvZAu+RkNjd7zWzU4mhg/PTyzsQQSvONLNvEsEdrmyZ1wgTc77J7wjvU3u/375eamaXExEPlSxXZJpS50lERsLdbzOzg4l5Fv9ce/sQ4NPAB8xsLfCBXg0jIq9M7i4ze7rPR9eHHTVOzh6nvJPVOhzQzPYlOklHEkmCdyQigt1KhLkeJsjA5vYifeu2LXGV/dhUt+XE3cJb07KJscOIpto/1J73jCJXU+8cL6Cg81TQ0J4xUjCCE4AjiAAgWxPzwb4N3Ef3XJtBDXos1v87f2kslelzfqje/1oKiHEpY/9XR6Vlk5l9DPhIukPcpH6+2dySAzkf4leFLc8NtK9pWKGITGPqPInIyKSr3ienhts7iCvc+XlnZ2Koyulmtsrdv1aw2X+ifShN5dG2RteA8lZUYxhyADM7Angf8EIiRPNngFOA71XDA81s1ZB1GVfDPs3JWE38HguJoWmXELln7s/KvWLI+k2Gnr9BTb31W7rejGdmJwIXEcP3Hiei1p0D/F9KF4CZXTDkxwx6LI7k90jRNlekIDVriPDp+WctIvKg/ZuZvaolkmJlOWUXYBx4uCFs/qw99kS2VOo8iciES52lnd39JgB3vxt4pZktIvISnUb33JVnAleY2YnuXo96V2+MPJg38idZfpX5T00FzOx1wGeJHDFPAidU38NUS3NNvkRnmNYdwMtq4c6nswdrz7crXK8envyhCajLtGdma4iOE8Q+H+3ubQEQJkP9+587zMbMbCXwx3Sewd1vBm42syXEvL430B1FcHfgBjM7wt1/UNtc/XzzwJBD6CZ0X0Vk6ilghIiMwiFETp2uc4y7b3L39xLzhY4FrqJzJXYO/UNrV0oT3w6itRGe9mV+9tLPGsocTIRCrpJlXjJdOk7Je+l0nJ4m7jbNlI4TjI14WBJJsV7uL/SP7rZFSAmTL8peWjNN7heNrAAACU1JREFUOk4QgR/yuznzexUstJIIzd/F3Te4+zuJJL6nEHmZKtvTnBR7os839fPEsPsqIlNMnScRGZWljJ3rBETwBXe/wd1PJuZfVNHQ9ksR1XLfqz1fQiEz+3czKwlN/cyCCGy70ekUAdzWUOZMuu/oX9Zne6PoBPaU7jqdkb10u7v3zK/FCOpnZm9qin5Wyt1/QfeQzT0KV82PqW8XRFbcEqzOHv+V7mTBdZN6LLr7n+kOWFKcW8rMvmJmTTnWjkkXL5o+7yl3/6q7rySiX1Z3g1aa2Ta14sOcb95lZsfUXq4PDSzaVzNbYWb13FgiMg2o8yQio/T2tgLufidwIjE3CLpzOkHk2sknYTc2kHp4bWE5IxLa9lOP9NaUQDUPv/w4/YMSvK5nZcya8uIMaz8i71blf/t8/oHEHJmm93Y3s9VN7xVYxvABPL6UPW77zTCz7YHFPdbfkuXH4s96DT1LnYdX9drIiI5FgP/KHhd1UNIFgOPoPeex5HxzHZ1cX3MZGyCifqd4kPPNaYwNTnIT8HD2vLQztoI+kflEZOqo8yQio3S4mZ3QVsjd76GT8PTJ2nsbgTyQxMqSDzazPYi7Wt8oqyrHtryf53X6EbC+oUzeOflDSgDcVLfl9G+UDdJgKzWv9rzfvJ/T+7z3HMbmsoFa0IAed/L2Zvjw3x+nEz76WWleSz+H0wmL/Uvg8iE/f6bIf+9+v/XL6R9VcRTHIsS8wCpa4s5mtrhgnROAX6Y7kE1OTR3/vtK8ymq4av18cxvdFxZKzzdHEt/5HbXtPUF3EvDS7/OVwLWFZUVkEqnzJCKj9kkzKxkWtAtxh2lDw3vvptM4X5YCUrQ5B7ja3R8oKPsU8KaGITy5U7LH5/XoGOUdg3rI9Nz5RCLhyt9z3qQ7JTv0WXe86p2WxvqZ2XOAo+nudOY5eQ4Cmr7T39O5ewi1IXVmNg/Yy93rQR8G4u6/Bt6ZvfSvLau8Ont8RkFesS1F67GY5vGtIToylfxY3IfuuyYTJiXw/XD2Ut9k0qmu7yAiV/YyB1iX7lD129Y2xH/sIZpzhZ2XPT4uBbppcy6wrkd4+4vodNaOrc8FbajfScCz6L5oJCLThDpPIjJqewJXmVnPidJmdgDR2P5mQ6jfKqnrmuylD1qf5Ctm9mqiUX12YR0fAK4gwqY3be94IpkowJfdvddchFuyxwvNbMwdGjM7mghakCfRXZLtz0k0z6ca1k/pTt7Za8jbe4jOST4nZa/s8b/QvZ8AuPuTdM/veEOtyLmMnU8yXp8ArkmP32JmOzcVMrOldIZuftTdZ9OV/Pw32qfHhYHXp3JXZK+1/tYT6AI6d2rOTImaezmLCLbwsZZtHgJ8oeVCyMuIuYlXNV0Ecfdrss/Zhu7AG2OY2dnAgcR/Z4yUsuE0IjjOIuDUPtvalUjo+7Y0N0xEpht316JFi5YJXYiGwmNEssrDiEbzvcCKhrKLgLuJoVgHt2z3bcTdKQc+D8yvvb8j0dB5FDipZVsvSdtxItfRPCJh6H8AW2Xl9gd+k8rdCGzXZ5uLiCv+1XbXAnOy9w8A/ptoBM5J30lVdl3av83AMdk6OxDzMhYTcz2q8h8h8jQtyOtb8LtU6/8VWFl7/63EXTWI4W5V2T+muq0lhr5Zj+2/NPt9HPgy8C7g+vT8uFr5ce8b0ai9PJW/Bdi19v4/EslfHXhPy/eyIC2vyergRHLjBcBOWdmtsvJnZ2UfBfZNr+8wgf+lVdlnrB9gvSqvU7XuebX3jwK+QnQi5teO2w8Sd18eA5Zm6+yU9m//9F5V/u3VdzKO/VsA3J62cxm1/xcxL+ndwEbggB7buJC4MLAsHYM/ITryBzWUXQrcT0TV26NPvYy4M1bt48XA3FqZXYk7YQ8Chxbs6xuJCye/p/lcuBz4IdHRH/kxokWLlvEtU14BLVq0bHkL0Uhflz3fOjXGHkkN2v8EPkV0JB4nrj4vL9z284GvE430h4lw52uJAA6PAN8Fnl+wna7OU3ptPjGR/UdE5+ya1Nh5lLhKvk3BdvclQiJX276PGBZ1barjwqzsi9O28wb7lbXtfa72ftOyeIDfZlVqaDoRvOG6VL87gbNqZT9R+5yngFe0bP90uhvt1fL+hrJD7RvRwH0z8Kv0mVcDnwZuIDqH9wEnF3wnbXVYn5VdXFD+cxP4X1rVVI/CdV9AXJio1r+LaOzfnI7v7bOyr0nfWb4fH6ptb33bvo9zH+cS54eH0vJV4j99FdFxXw8s6bP+hcD52fPtiY7Pk2n/16XtfSPt443A3oV1eylx8ceJCxtV3a4ngkNcW7qttL3l2fd4e6rb51M9/wSsnsxjRIsWLYMv5u6IiEykNCfpGe7+ndrrOwHHEBGn5hKNkdt9bKLKks/YlYhI9WyisbQZ+I6731u4/kuIRhTARnffPXvvIGLez3ZETqAbfMB8SGnI2AuJuQuPA7e6+x0N5RYRQ/UWEo39q9192Ih0bXXbOtXtQKLDuBG41hvmh5nZYakswPUewT3atr+IiKC4G/G73OTuP5+g6jd93hzgCGJo5Y5EA/wOj0iOM5qZrSIa2BDDWo8exzYOIu4ALyQa6Dc1/U9S8I3jie/wLne/sV5mlMzsGcTd6ucSdyU3E/+bvsdcSpK7qb5PZraQuEiyB3HHcBMRqn5MjraCuu1J3IlcRJy7fgvc4u4bBt1W2t7eaXvPJi5i/Bj4urs/No5trWLIY0REyqnzJCKzUr/Ok8h0oYaxtNExIjK5FDBCRERERESkgDpPIiIiIiIiBdR5EhERERERKaDOk4iIiMjMpbacyCTSH05ERGRmWDLVFZBp6ciproDIbLL1VFdAREREiuxpZv8DfItIpnoPsMEVNnfWMLPdibD8zyWSbh8I7D2llRKZZdR5EpFZw8zmAfPS00Ozt3Yxs/2B36XnD7n705NaOZEyx6elcg+wbIrqIpPvtcDFU10JkdlMeZ5EZNYwswuA8wuKLnH3+0dbGxEREZlp1HkSEREREREpoIARIiIiIiIiBdR5EhERERERKaDOk4iIiIiISAF1nkRERERERAqo8yQiIiIiIlJAnScREREREZEC6jyJiIiIiIgUUOdJRERERESkgDpPIiIiIiIiBdR5EhERERERKaDOk4iIiIiISAF1nkRERERERAqo8yQiIiIiIlLgb1CKPwwUczTzAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 279, + "width": 423 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(d2d_tmass.arcsec, histtype='step', \n", + " bins=np.logspace(-2, 2., 64))\n", + "plt.xlabel('separation [arcsec]')\n", + "plt.xscale('log')\n", + "plt.yscale('log')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From this, it looks like the sources that actually match to our *Gaia* NGC 188 members are all within about 2 arcseconds, so that is promising! How many of the 2MASS sources matched to one of our NGC 188 candidate members?" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:11.886308Z", + "start_time": "2020-09-16T17:40:11.882780Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "309" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(d2d_tmass < 2*u.arcsec).sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "That is a large fraction of the 321 members we identified. Missing sources may be too faint for 2MASS to detect, so we do not expect all of the *Gaia* sources to be in 2MASS. With our cross-match done, we can now make 2MASS+Gaia color-magnitude diagrams of our candidate NGC 188 members:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:13.314795Z", + "start_time": "2020-09-16T17:40:13.045907Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 349, + "width": 713 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Jmag = tmass_table['Jmag'][d2d_tmass < 2*u.arcsec]\n", + "Gmag = gaia_ngc188_members_table['phot_g_mean_mag'][idx_tmass[d2d_tmass < 2*u.arcsec]]\n", + "Bmag = gaia_ngc188_members_table['phot_bp_mean_mag'][idx_tmass[d2d_tmass < 2*u.arcsec]]\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(10, 5))\n", + "\n", + "ax = axes[0]\n", + "ax.scatter(Gmag - Jmag, Gmag, \n", + " marker='o', color='k', \n", + " linewidth=0, alpha=0.5)\n", + "ax.set_xlabel('$G - J$')\n", + "ax.set_ylabel('$G$')\n", + "ax.set_xlim(0, 3)\n", + "ax.set_ylim(19, 10) # backwards because magnitudes!\n", + "\n", + "ax = axes[1]\n", + "ax.scatter(Bmag - Gmag, Jmag, \n", + " marker='o', color='k', \n", + " linewidth=0, alpha=0.5)\n", + "ax.set_xlabel('$G_{BP} - G$')\n", + "ax.set_ylabel('$J$')\n", + "ax.set_xlim(0.2, 1)\n", + "ax.set_ylim(17, 8) # backwards because magnitudes!\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Those both look like color-magnitude diagrams of a main sequence + red giant branch of an intermediate-age stellar cluster, so it looks like our selection and cross-matching has worked!\n", + "\n", + "For more on what matching options are available, check out the [separation and matching section of the Astropy documentation](https://astropy.readthedocs.io/en/stable/coordinates/matchsep.html). Or for more on what you can do with `SkyCoord`, see [its API documentation](http://astropy.readthedocs.org/en/stable/api/astropy.coordinates.SkyCoord.html)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercises" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the coordinates of the center of the Pleiades you defined in the previous set of exercises, download a catalog of 2MASS sources within 1 degree of the center of the Pleiades. Make a color-magnitude diagram of J-H vs. J for all sources. Can you see the main sequence corresponding to the Pleiades?" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:19.508672Z", + "start_time": "2020-09-16T17:40:15.069357Z" + } + }, + "outputs": [], + "source": [ + "v = Vizier(catalog=\"II/246\") \n", + "v.ROW_LIMIT = -1\n", + "\n", + "result = v.query_region(pleiades_center, radius=1*u.deg)\n", + "tmass_table_pleiades = result[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:40:19.633362Z", + "start_time": "2020-09-16T17:40:19.510190Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(12.0, 2.0)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 258, + "width": 373 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "Jmag_p = tmass_table_pleiades['Jmag']\n", + "Hmag_p = tmass_table_pleiades['Hmag']\n", + "\n", + "plt.scatter(Jmag_p - Hmag_p, Jmag_p,\n", + " marker='o', color='k', \n", + " linewidth=0, alpha=0.5)\n", + "plt.xlim(-0.4, 0.75)\n", + "plt.ylim(12, 2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Again using the coordinates of the center of the Pleiades, now download all *Gaia* sources within 1 degree of the center of the Pleiades. Cross-match the 2MASS and *Gaia* sources, and make a G-J vs. G color-magnitude diagram of all sources within 200 parsecs of the Sun." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:45:03.677174Z", + "start_time": "2020-09-16T17:44:36.652638Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO: Query finished. [astroquery.utils.tap.core]\n" + ] + } + ], + "source": [ + "Gaia.ROW_LIMIT = 10_000\n", + "job = Gaia.cone_search_async(pleiades_center, radius=1*u.deg)\n", + "gaia_table_pleiades = job.get_results()\n", + "\n", + "# This might produce a bunch of warnings: you can ignore these!\n", + "gaia_table_pleiades = QTable(gaia_table_pleiades[gaia_table_pleiades['parallax'] > 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:45:18.124228Z", + "start_time": "2020-09-16T17:45:18.118000Z" + } + }, + "outputs": [], + "source": [ + "tmass_ple_coords = SkyCoord(tmass_table_pleiades['RAJ2000'],\n", + " tmass_table_pleiades['DEJ2000'])\n", + "\n", + "gaia_ple_coords = SkyCoord(gaia_table_pleiades['ra'],\n", + " gaia_table_pleiades['dec'],\n", + " Distance(parallax=gaia_table_pleiades['parallax']))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:45:18.777971Z", + "start_time": "2020-09-16T17:45:18.630838Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(19.0, 0.0)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 283, + "width": 398 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "idx_ple, d2d_ple, _ = gaia_ple_coords.match_to_catalog_sky(tmass_ple_coords)\n", + "\n", + "sep_mask = (d2d_ple < 2*u.arcsec) & (gaia_ple_coords.distance < 200*u.pc)\n", + "\n", + "Gmag_ple = gaia_table_pleiades[sep_mask]['phot_g_mean_mag']\n", + "Jmag_ple = tmass_table_pleiades[idx_ple[sep_mask]]['Jmag']\n", + "\n", + "plt.scatter(Gmag_ple - Jmag_ple, Gmag_ple, \n", + " marker='o', color='k', \n", + " linewidth=0, alpha=0.5)\n", + "plt.xlabel('$G - J$')\n", + "plt.ylabel('$G$')\n", + "plt.xlim(-1, 3.5)\n", + "plt.ylim(19, 0) # backwards because magnitudes!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "In this tutorial, we have introduced `astropy.coordinates` as a way to store and represent astronomical sky coordinates. We used coordinate objects, via the `SkyCoord` class interface, to parse and change coordinate representations and units. We also demonstrated how to cross-match " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb b/tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb new file mode 100644 index 000000000..56522fbad --- /dev/null +++ b/tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb @@ -0,0 +1,358 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Astronomical Coordinates 4: Working with Velocity Data in astropy.coordinates\n", + "\n", + "## Authors\n", + "Adrian Price-Whelan\n", + "\n", + "## Learning Goals\n", + "* TODO\n", + "\n", + "## Keywords\n", + "coordinates\n", + "\n", + "\n", + "## Summary\n", + "\n", + "TODO: this is 3rd tutorial in a series..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "We start by importing some general packages we will need below:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-16T17:38:09.637389Z", + "start_time": "2020-09-16T17:38:08.065804Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "from astropy import units as u\n", + "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.io import fits\n", + "from astropy.table import QTable\n", + "from astropy.utils.data import download_file" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## More than just sky positions: Including velocity information in `SkyCoord`\n", + "\n", + "As we have seen above, the `SkyCoord` object can store scalars or arrays of positional coordinate information, can transform between different coordinate frames, and can cross-match sets of coordinates. But wait, there's more! `astropy.coordinates` also supports representing and transforming *velocity* information along with positions ([docs](http://docs.astropy.org/en/latest/coordinates/velocities.html)).\n", + "\n", + "### Passing velocity data in to `SkyCoord`\n", + "\n", + "Velocity data is passed in to `SkyCoord` in a very similar way to the positional coordinates demonstrated above. However, velocity data must be passed in using keyword arguments, meaning that you must write out the velocity component names, e.g.:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "SkyCoord(ra=10*u.deg, \n", + " dec=20*u.deg,\n", + " pm_ra_cosdec=1*u.mas/u.yr,\n", + " pm_dec=2*u.mas/u.yr)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the above, we create a `SkyCoord` instance with sky position and proper motion data. The proper motion component names for ICRS coordinates are, by default, `pm_ra_cosdec` and `pm_dec` (\"pm\" for \"proper motion\"). You can also specify radial velocity data via the `radial_velocity` argument, e.g.:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "velocity_coord = SkyCoord(ra=10*u.deg, \n", + " dec=20*u.deg,\n", + " pm_ra_cosdec=1*u.mas/u.yr,\n", + " pm_dec=2*u.mas/u.yr,\n", + " radial_velocity=100*u.km/u.s)\n", + "velocity_coord" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A `SkyCoord` object with velocity data can be transformed to other frames just like the objects we are used to from above:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "velocity_coord.transform_to('galactic')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "An important caveat, however, is that some reference frames require knowing distance in order to transform all velocity components - something we did not specify in the `velocity_coord` definition above:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [], + "source": [ + "# THIS SHOULD ERROR:\n", + "velocity_coord.transform_to(altaz)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Evolving coordinate positions between epochs\n", + "\n", + "For nearby or fast-moving stars, a star's position could change appreciably between two well-spaced observations of the source. For such cases, it might be necessary to evolve the position of the star using the proper motion or velocity of the star in order to accurately predict its position at a new time. Below, we will demonstrate this using data from the Digitized Sky Survey (DSS; digital scans of photographic plates observed in the 1950s) and data from the *Gaia* mission (at epoch J2015.5).\n", + "\n", + "The star HD 219829 has a very large proper motion, close to 0.5 arcsec/year. Between the DSS and *Gaia*, we therefore expect that the position of the star has changed by about 0.5 arcmin; Let's see if this is the case! To start, we will query the *Gaia* catalog to retrieve data for this star (but skip the cell below if you do not have an internet connection):" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hd219829_coord = SkyCoord(ra=349.72896716*u.deg, \n", + " dec=5.40511585*u.deg,\n", + " distance=34.47896*u.pc,\n", + " pm_ra_cosdec=483.41659*u.mas/u.yr,\n", + " pm_dec=-114.86339*u.mas/u.yr,\n", + " obstime=Time('J2015.5'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note above that we specify a new keyword argument, `obstime`, to `SkyCoord`: This is the observation time of the coordinates, and will be important later when we evolve the position of this star using its proper motion.\n", + "\n", + "We now have the position and proper motion for HD 219829. Let's now query the DSS to retrieve a FITS image of the field around this star, using the STSCI DSS image cutout service. Again, skip the cell below if you do not have an internet connection:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "dss_cutout_filename = 'dss_hd219829.fits'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now load the FITS image of the cutout and use `astropy.visualization` to display the image using its World Coordinate System (WCS) info ([docs](http://docs.astropy.org/en/latest/visualization/wcsaxes/index.html)). By passing in the WCS information (included in the FITS cutout header), we can over-plot a marker for the *Gaia*-measured sky position of HD 219829:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from astropy.wcs import WCS\n", + "\n", + "hdu = fits.open(dss_cutout_filename)[0]\n", + "wcs = WCS(hdu.header)\n", + "\n", + "fig, ax = plt.subplots(1, 1, figsize=(8, 8), \n", + " subplot_kw=dict(projection=wcs))\n", + "ax.imshow(hdu.data, origin='lower', cmap='Greys_r')\n", + "ax.set_xlabel('RA')\n", + "ax.set_ylabel('Dec')\n", + "ax.set_autoscale_on(False)\n", + "\n", + "ax.scatter(hd219829_coord.ra.degree,\n", + " hd219829_coord.dec.degree,\n", + " s=500,\n", + " transform=ax.get_transform('world'),\n", + " facecolor='none', linewidth=2, color='tab:red')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The bright star (as observed by DSS) is our target, and the red circle is where *Gaia* observed this star: It has moved! But, we can account for this, and predict the position of the star at around the time the DSS plate was observed (let's assume it was exactly 1950 - this is not strictly correct, but should be good enough).\n", + "\n", + "To account for the proper motion of the source and evolve the position to a new time, we can use the `SkyCoord.apply_space_motion()` method ([docs](http://docs.astropy.org/en/latest/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord.apply_space_motion)):" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "hd219829_coord_1950 = hd219829_coord.apply_space_motion(new_obstime=Time('J1950')) # ignore the ErfaWarning" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, 1, figsize=(8, 8), \n", + " subplot_kw=dict(projection=wcs))\n", + "ax.imshow(hdu.data, origin='lower', cmap='Greys_r')\n", + "ax.set_xlabel('RA')\n", + "ax.set_ylabel('Dec')\n", + "ax.set_autoscale_on(False)\n", + "\n", + "ax.scatter(hd219829_coord.ra.degree,\n", + " hd219829_coord.dec.degree,\n", + " s=500,\n", + " transform=ax.get_transform('world'),\n", + " facecolor='none', linewidth=2, color='tab:red')\n", + "\n", + "# Plot the predicted (past) position:\n", + "ax.scatter(hd219829_coord_1950.ra.degree,\n", + " hd219829_coord_1950.dec.degree,\n", + " s=500,\n", + " transform=ax.get_transform('world'),\n", + " facecolor='none', linewidth=2, color='tab:blue')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The predicted position of the star from 1950 is much closer to where the star is in the DSS image: Success!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercises" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The *Gaia* data table we downloaded for sources around NGC 188 also contains proper motion information. Do any of the sources in the field around NGC 188 have large enough proper motions that we might detect a difference between the DSS position of a star and the *Gaia* position? How many stars have an apparent change in position > 5 arcsec over 60 years?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ngc188_pm = np.sqrt(table['pmra']**2 + table['pmdec']**2)\n", + "((ngc188_pm * 60*u.year) > 5*u.arcsec).sum()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Download a DSS image for the region around the fastest-moving star in the NGC 188 field. By accounting for the proper motion, can you predict where the star is in the DSS image using only the *Gaia* position and proper motion?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wrap-up\n", + "\n", + "This tutorial series has covered a lot of material, but `astropy.coordinates` has even more functionality that we were unable to cover in this workshop. For documentation on other features of `astropy.coordinates`, check out [the astropy.coordinates section of the Astropy documentation](http://astropy.readthedocs.org/en/stable/coordinates/index.html).\n", + "\n", + "You might also be interested in [the astroplan affiliated package](http://astroplan.readthedocs.org/), which uses the `astropy.coordinates` to do more advanced versions of the observation planning tasks briefly covered above." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/notebooks/Coordinates-Intro/Coordinates-Intro.ipynb b/tutorials/notebooks/Coordinates-Intro/Coordinates-Intro.ipynb deleted file mode 100755 index a1274d56d..000000000 --- a/tutorials/notebooks/Coordinates-Intro/Coordinates-Intro.ipynb +++ /dev/null @@ -1,342 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Coords 1: Getting Started with astropy.coordinates\n", - "\n", - "## Authors\n", - "Erik Tollerud, Kelle Cruz, Stephen Pardy, Stephanie T. Douglas\n", - "\n", - "## Learning Goals\n", - "* Create `astropy.coordinates.SkyCoord` objects using names and coordinates\n", - "* Use SkyCoord objects to become familiar with object oriented programming (OOP)\n", - "* Interact with a `SkyCoord` object and access its attributes\n", - "* Use a `SkyCoord` object to query a database\n", - "\n", - "## Keywords\n", - "coordinates, OOP, file input/output\n", - "\n", - "\n", - "## Summary\n", - "In this tutorial, we're going to investigate the area of the sky around the picturesque group of galaxies named \"Hickson Compact Group 7,\" download an image, and do something with its coordinates." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Imports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Python standard-library\n", - "from urllib.parse import urlencode\n", - "from urllib.request import urlretrieve\n", - "\n", - "# Third-party dependencies\n", - "from astropy import units as u\n", - "from astropy.coordinates import SkyCoord\n", - "from IPython.display import Image" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Describing on-sky locations with `coordinates`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `SkyCoord` class in the `astropy.coordinates` package is used to represent celestial coordinates. First, we'll make a SkyCoord object based on our object's name, \"Hickson Compact Group 7\" or \"HCG 7\" for short. Most astronomical object names can be found by [SESAME](http://cdsweb.u-strasbg.fr/cgi-bin/Sesame), a service which queries Simbad, NED, and VizieR and returns the object's type and its J2000 position. This service can be used via the `SkyCoord.from_name()` [class method](https://julien.danjou.info/blog/2013/guide-python-static-class-abstract-methods):" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# initialize a SkyCood object named hcg7_center at the location of HCG 7\n", - "hcg7_center = SkyCoord.from_name('HCG 7')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Note that the above command requires an internet connection. If you don't have one, execute the following line instead:\n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# uncomment and run this line if you don't have an internet connection\n", - "# hcg7_center = SkyCoord(9.81625*u.deg, 0.88806*u.deg, frame='icrs')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "type(hcg7_center)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Show the available methods and attributes of the SkyCoord object we've created called `hcg7_center`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dir(hcg7_center)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Show the RA and Dec." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(hcg7_center.ra, hcg7_center.dec)\n", - "print(hcg7_center.ra.hour, hcg7_center.dec)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We see that, according to SESAME, HCG 7 is located at ra = 9.849 deg and dec = 0.878 deg. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This object we've just created has various useful ways of accessing the information contained within it. In particular, the ``ra`` and ``dec`` attributes are specialized [Quantity](http://docs.astropy.org/en/stable/units/index.html) objects (actually, a subclass called [Angle](http://docs.astropy.org/en/stable/api/astropy.coordinates.Angle.html), which in turn is subclassed by [Latitude](http://docs.astropy.org/en/stable/api/astropy.coordinates.Latitude.html) and [Longitude](http://docs.astropy.org/en/stable/api/astropy.coordinates.Longitude.html)). These objects store angles and provide pretty representations of those angles, as well as some useful attributes to quickly convert to common angle units:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "type(hcg7_center.ra), type(hcg7_center.dec)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.ra, hcg7_center.dec" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.ra.hour" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "SkyCoord will also accept string-formatted coordinates either as separate strings for RA/Dec or a single string. You'll need to give units, though, if they aren't part of the string itself." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "SkyCoord('0h39m15.9s', '0d53m17.016s', frame='icrs')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.ra.hour" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Download an image\n", - "Now that we have a `SkyCoord` object, we can try to use it to access data from the [Sloan Digitial Sky Survey](http://www.sdss.org/) (SDSS). Let's start by trying to get a picture using the SDSS image cutout service to make sure HCG 7 is in the SDSS footprint and has good image quality.\n", - "\n", - "This requires an internet connection, but if it fails, don't worry: the file is included in the repository so you can just let it use the local file``'HCG7_SDSS_cutout.jpg'``, defined at the top of the cell. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# tell the SDSS service how big of a cutout we want\n", - "im_size = 12*u.arcmin # get a 12 arcmin square\n", - "im_pixels = 1024 \n", - "cutoutbaseurl = 'http://skyservice.pha.jhu.edu/DR12/ImgCutout/getjpeg.aspx'\n", - "query_string = urlencode(dict(ra=hcg7_center.ra.deg, \n", - " dec=hcg7_center.dec.deg, \n", - " width=im_pixels, height=im_pixels, \n", - " scale=im_size.to(u.arcsec).value/im_pixels))\n", - "url = cutoutbaseurl + '?' + query_string\n", - "\n", - "# this downloads the image to your disk\n", - "urlretrieve(url, 'HCG7_SDSS_cutout.jpg')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Image('HCG7_SDSS_cutout.jpg')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Very pretty!\n", - "\n", - "The saga of HCG 7 continues in [Coords 2: Transforming between coordinate systems](http://learn.astropy.org/rst-tutorials/Coordinates-Transform.html)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercises" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create a `SkyCoord` of some other astronomical object you find interesting. Using only a single method/function call, get a string with the RA/Dec in the form 'HH:MM:SS.S DD:MM:SS.S'. Check your answer against an academic paper or a website like [SIMBAD](http://simbad.u-strasbg.fr/simbad/) that will show you sexigesimal coordinates for the object.\n", - "\n", - "(Hint: `SkyCoord.to_string()` might be worth reading up on.)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise 2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now get an image of that object from the Digitized Sky Survey and download it and/or show it in the notebook. Bonus points if you figure out the (one-line) trick to get it to display in the notebook *without* ever downloading the file yourself.\n", - "\n", - "(Hint: STScI has an easy-to-access [copy of the DSS](https://archive.stsci.edu/dss/). The pattern to follow for the web URL is ``http://archive.stsci.edu/cgi-bin/dss_search?f=GIF&ra=RA&dec=DEC``.)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.2" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/notebooks/Coordinates-Intro/HCG7_2MASS.tbl b/tutorials/notebooks/Coordinates-Intro/HCG7_2MASS.tbl deleted file mode 100644 index ff7960ba9..000000000 --- a/tutorials/notebooks/Coordinates-Intro/HCG7_2MASS.tbl +++ /dev/null @@ -1,95 +0,0 @@ -\ -\fixlen = T -\RowsRetrieved = 23 -\ORIGIN = 'IPAC Infrared Science Archive (IRSA), Caltech/JPL' -\DATETIME= '2015-02-25 16:44:17' -\DataTag = 'ADS/IRSA.Gator#2015/0225/164417_13085' -\DATABASE= '2MASS All-Sky Extended Source Catalog (XSC) (fp_xsc)' -\EQUINOX = 'J2000' -\SKYAREA = 'within 20 arcmin of ra=9.81625 dec=+0.88806 Eq J2000 ' -\StatusFile = '/workspace/TMP_gDI5AY_559/Gator/irsa/13085/log.13085.html' -\SQL = 'WHERE (cc_flg != 'a' and cc_flg != 'z') ' -\SQL = 'SELECT (27 column names follow in next row.)' -\ -\ designation -\ ___ source designation formed from sexigesimal coordinates -\ ra (deg) -\ ___ right ascension (J2000 decimal deg) based on peak pixel -\ dec (deg) -\ ___ declination (J2000 decimal deg) based on peak pixel -\ r_k20fe (arcsec) -\ ___ 20mag/sq." isophotal K fiducial ell. ap. semi-major axis -\ j_m_k20fe (mag) -\ ___ J 20mag/sq." isophotal fiducial ell. ap. magnitude -\ j_msig_k20fe (mag) -\ ___ J 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag -\ j_flg_k20fe -\ ___ J confusion flag for 20mag/sq." iso. fid. ell. mag -\ h_m_k20fe (mag) -\ ___ H 20mag/sq." isophotal fiducial ell. ap. magnitude -\ h_msig_k20fe (mag) -\ ___ H 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag -\ h_flg_k20fe -\ ___ H confusion flag for 20mag/sq." iso. fid. ell. mag -\ k_m_k20fe (mag) -\ ___ K 20mag/sq." isophotal fiducial ell. ap. magnitude -\ k_msig_k20fe (mag) -\ ___ K 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag -\ k_flg_k20fe -\ ___ K confusion flag for 20mag/sq." iso. fid. ell. mag -\ k_ba -\ ___ K minor/major axis ratio fit to the 3-sigma isophote -\ k_phi (deg) -\ ___ K angle to 3-sigma major axis (E of N) -\ sup_ba -\ ___ minor/major axis ratio fit to 3-sig. super-coadd isophote -\ sup_phi (deg) -\ ___ super-coadd angle to major axis (E of N) -\ r_ext (arcsec) -\ ___ extrapolation/total radius -\ j_m_ext (mag) -\ ___ J mag from fit extrapolation -\ j_msig_ext (mag) -\ ___ J 1-sigma uncertainty in mag from fit extrapolation -\ h_m_ext (mag) -\ ___ H mag from fit extrapolation -\ h_msig_ext (mag) -\ ___ H 1-sigma uncertainty in mag from fit extrapolation -\ k_m_ext (mag) -\ ___ K mag from fit extrapolation -\ k_msig_ext (mag) -\ ___ K 1-sigma uncertainty in mag from fit extrapolation -\ cc_flg -\ ___ indicates artifact contamination and/or confusion -\ angle (deg) -\ ___ Position Angle in degree. -\ dist (arcsec) -\ ___ Distance between the target position and each source in arcsec. -\ -| designation| ra| dec|r_k20fe|j_m_k20fe|j_msig_k20fe|j_flg_k20fe|h_m_k20fe|h_msig_k20fe|h_flg_k20fe|k_m_k20fe|k_msig_k20fe|k_flg_k20fe| k_ba|k_phi|sup_ba|sup_phi| r_ext|j_m_ext|j_msig_ext|h_m_ext|h_msig_ext|k_m_ext|k_msig_ext|cc_flg| dist| angle| -| char| double| double| double| double| double| int| double| double| int| double| double| int| double| int|double| int| double| double| double| double| double| double| double| char| double| double| -| | deg| deg| arcsec| mag| mag| | mag| mag| | mag| mag| | | deg| | deg| arcsec| mag| mag| mag| mag| mag| mag| | arcsec| deg| -| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| null| - 00402069+0052508 10.086218 0.880798 9.4 13.835 0.068 0 13.010 0.086 0 12.588 0.089 0 0.8 70 0.820 35 18.62 13.632 0.088 12.744 0.104 12.398 0.105 0 972.120611 91.538952 - 00395984+0103545 9.999350 1.065140 12.9 12.925 0.035 0 12.183 0.042 0 11.890 0.067 0 0.8 35 0.700 40 35.90 12.469 0.048 11.910 0.066 11.522 0.087 0 916.927636 45.951861 - 00401849+0049448 10.077062 0.829130 6.0 14.918 0.086 0 14.113 0.107 0 13.714 0.103 0 0.6 -15 1.000 90 11.35 14.631 0.121 13.953 0.169 13.525 0.161 0 962.489231 102.731490 - 00395277+0057124 9.969907 0.953472 5.3 14.702 0.049 0 14.248 0.069 0 13.899 0.095 0 0.6 -60 0.440 -50 10.59 14.620 0.144 14.150 0.296 13.730 0.200 0 601.136444 66.936590 - 00401864+0047245 10.077704 0.790143 7.6 15.585 0.134 1 15.003 0.180 1 14.049 0.142 1 0.5 30 0.460 30 14.48 14.977 0.138 14.855 0.303 13.653 0.180 0 1004.982128 110.531470 - 00393485+0051355 9.895219 0.859882 39.3 11.415 0.031 3 10.755 0.044 3 10.514 0.068 3 0.6 -30 0.700 -60 92.29 11.415 0.018 10.155 0.054 9.976 0.085 0 301.813395 109.639102 - 00392964+0103495 9.873526 1.063769 10.9 14.463 0.065 0 13.618 0.067 0 13.258 0.091 0 0.4 55 0.280 60 20.35 14.200 0.086 13.363 0.091 13.101 0.133 0 665.301415 18.051526 - 00403343+0049079 10.139293 0.818865 5.0 15.484 0.150 0 null null null 13.970 0.137 0 1.0 90 1.000 90 10.05 15.035 0.183 14.725 0.000 13.654 0.189 0 1189.207905 102.088788 - 00393319+0035505 9.888305 0.597381 11.5 13.156 0.033 0 12.509 0.043 0 12.073 0.059 0 0.6 -55 0.520 -40 21.64 13.026 0.040 12.247 0.046 11.978 0.065 0 1078.110270 166.078500 - 00395031+0035444 9.959649 0.595693 5.1 15.684 0.135 0 14.805 0.138 0 13.981 0.124 0 1.0 90 1.000 90 10.05 15.684 0.135 14.404 0.176 13.838 0.201 0 1172.286501 153.874091 - 00394272+0037395 9.928026 0.627663 5.2 15.359 0.107 0 14.264 0.090 0 13.798 0.109 0 1.0 90 1.000 90 10.30 15.332 0.193 13.994 0.133 13.629 0.172 0 1020.130143 156.769515 - 00393899+0038325 9.912468 0.642384 5.0 15.266 0.094 0 14.432 0.102 0 14.067 0.134 0 1.0 90 1.000 90 10.05 15.043 0.141 14.306 0.164 13.940 0.225 0 949.833479 158.613482 - 00400691+0040595 10.028815 0.683197 5.5 15.012 0.065 0 14.244 0.074 0 14.001 0.112 0 0.7 -25 0.740 -40 10.71 14.669 0.087 14.058 0.115 13.889 0.187 0 1062.726983 133.944137 - 00391798+0041588 9.824936 0.699687 6.1 15.685 0.168 0 14.890 0.191 0 14.003 0.155 0 1.0 90 1.000 90 11.40 15.677 0.312 14.415 0.226 13.568 0.190 0 678.863209 177.360117 - 00384796+0034572 9.699858 0.582578 5.1 14.925 0.077 0 14.224 0.114 0 13.536 0.079 0 1.0 90 1.000 90 10.20 14.839 0.133 14.111 0.192 13.461 0.137 0 1176.842625 200.856597 - 00390392+0050579 9.766345 0.849419 5.0 14.895 0.070 0 14.238 0.087 0 13.834 0.110 0 1.0 90 1.000 90 10.05 14.706 0.107 14.033 0.132 13.750 0.187 0 227.201453 232.246890 - 00391339+0051508 9.805797 0.864135 52.8 10.362 0.014 0 9.631 0.017 0 9.334 0.024 0 0.3 -15 0.400 -15 75.02 10.279 0.015 9.527 0.016 9.247 0.023 0 93.990015 203.598476 - 00391786+0054458 9.824418 0.912743 27.9 11.082 0.016 0 10.384 0.022 0 10.147 0.032 0 0.5 5 0.700 5 42.75 10.914 0.018 10.251 0.021 10.031 0.030 0 93.596555 18.308033 - 00385879+0057269 9.744971 0.957478 5.0 15.535 0.122 0 14.796 0.145 0 14.278 0.165 0 1.0 90 1.000 90 10.05 15.535 0.122 14.623 0.227 14.147 0.269 0 358.163568 314.246475 - 00391879+0053308 9.828303 0.891909 15.4 13.044 0.047 0 12.412 0.063 0 12.077 0.094 0 0.8 60 0.740 65 23.62 12.755 0.048 12.283 0.072 11.713 0.096 0 45.544562 72.287562 - 00391213+0102408 9.800550 1.044691 5.0 15.568 0.126 0 15.047 0.181 0 14.356 0.176 0 1.0 90 1.000 90 10.05 15.295 0.181 15.047 0.181 14.067 0.250 0 566.696375 354.276982 - 00383990+0104442 9.666268 1.078968 5.3 15.255 0.108 0 14.232 0.121 0 13.873 0.113 0 1.0 90 1.000 90 10.44 15.151 0.180 13.812 0.149 13.552 0.155 0 873.946372 321.851314 - 00384916+0050212 9.704872 0.839244 5.1 15.075 0.088 0 14.651 0.170 0 13.804 0.101 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+astropy +numpy +matplotlib +astroquery + From 61a13c60e7cdd0dc3aefc505cf50bae1f6f36593 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 16 Sep 2020 13:57:20 -0400 Subject: [PATCH 20/43] move coordinates tutorials into same directory --- .../Coordinates-Transform.ipynb | 664 ------------------ .../Coordinates-Transform/requirements.txt | 5 - .../1-Coordinates-Intro.ipynb | 0 .../2-Coordinates-Transforms.ipynb | 0 .../3-Coordinates-Crossmatch.ipynb | 0 .../4-Coordinates-Velocities.ipynb | 0 .../requirements.txt | 0 7 files changed, 669 deletions(-) delete mode 100755 tutorials/notebooks/Coordinates-Transform/Coordinates-Transform.ipynb delete mode 100644 tutorials/notebooks/Coordinates-Transform/requirements.txt rename tutorials/notebooks/{Coordinates-Intro => astropy-coordinates}/1-Coordinates-Intro.ipynb (100%) rename tutorials/notebooks/{Coordinates-Intro => astropy-coordinates}/2-Coordinates-Transforms.ipynb (100%) rename tutorials/notebooks/{Coordinates-Intro => astropy-coordinates}/3-Coordinates-Crossmatch.ipynb (100%) rename tutorials/notebooks/{Coordinates-Intro => astropy-coordinates}/4-Coordinates-Velocities.ipynb (100%) rename tutorials/notebooks/{Coordinates-Intro => astropy-coordinates}/requirements.txt (100%) diff --git a/tutorials/notebooks/Coordinates-Transform/Coordinates-Transform.ipynb b/tutorials/notebooks/Coordinates-Transform/Coordinates-Transform.ipynb deleted file mode 100755 index e68187dda..000000000 --- a/tutorials/notebooks/Coordinates-Transform/Coordinates-Transform.ipynb +++ /dev/null @@ -1,664 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Coords 2: Transforming between coordinate systems\n", - "\n", - "## Authors\n", - "Erik Tollerud, Kelle Cruz, Stephen Pardy, Stephanie T. Douglas\n", - "\n", - "## Learning Goals\n", - "- Create `astropy.coordinates.SkyCoord` objects\n", - "- Transform to different coordinate systems on the sky\n", - "- Transform to altitude/azimuth coordinates from a specific observing site\n", - "\n", - "## Keywords\n", - "coordinates, units, observational astronomy\n", - "\n", - "## Summary\n", - "\n", - "In this tutorial we demonstrate how to define astronomical coordinates using the `astropy.coordinates` \"frame\" classes. We then show how to transform between the different built-in coordinate frames, such as from ICRS (RA, Dec) to Galactic (l, b). Finally, we show how to compute altitude and azimuth from a specific observing site." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Imports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Third-party dependencies\n", - "from astropy import units as u\n", - "from astropy.coordinates import SkyCoord\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Set up matplotlib and use a nicer set of plot parameters\n", - "from astropy.visualization import astropy_mpl_style\n", - "import matplotlib.pyplot as plt\n", - "plt.style.use(astropy_mpl_style)\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Section 0: Quickstart" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "\n", - "**Note:** If you already worked through [Coords 1](http://learn.astropy.org/rst-tutorials/Coordinates-Intro.html?highlight=coordinates) you can feel free to skip to [Section 1](#Section-1:).\n", - "\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In Astropy, the most common object you'll work with for coordinates is `SkyCoord`. A `SkyCoord` can most easily be created directly from angles as shown below. \n", - "\n", - "In this tutorial we'll be converting between frames. Let's start in the ICRS frame (which happens to be the default.) \n", - "\n", - "For much of this tutorial we'll work with the Hickson Compact Group 7. We can create an object either by passing the degrees explicitly (using the astropy [units](http://docs.astropy.org/en/stable/units/index.html) library) or by passing in strings. The two coordinates below are equivalent:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center = SkyCoord(9.81625*u.deg, 0.88806*u.deg, frame='icrs') # using degrees directly\n", - "print(hcg7_center)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center = SkyCoord('0h39m15.9s', '0d53m17.016s', frame='icrs') # passing in string format\n", - "print(hcg7_center)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can get the right ascension and declination components of the object directly by accessing those attributes." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(hcg7_center.ra)\n", - "print(hcg7_center.dec)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Section 1: " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Introducing frame transformations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`astropy.coordinates` provides many tools to transform between different coordinate systems. For instance, we can use it to transform from ICRS coordinates (in RA and Dec) to Galactic coordinates.\n", - "\n", - "To understand the code in this section, it may help to read over the [overview of the astropy coordinates scheme](http://astropy.readthedocs.org/en/latest/coordinates/index.html#overview-of-astropy-coordinates-concepts). The key piece to understand is that all coordinates in Astropy are in particular \"frames\" and we can transform between a specific `SkyCoord` object in one frame to another. For example, we can transform our previously-defined center of HCG 7 from ICRS to Galactic coordinates:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center = SkyCoord(9.81625*u.deg, 0.88806*u.deg, frame='icrs')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are three different ways of transforming coordinates. Each has its pros and cons, but all should give you the same result. The first way to transform to other built-in frames is by specifying those attributes. For instance, let's see the location of HCG 7 in Galactic coordinates." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transforming coordinates using attributes:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.galactic" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transforming coordinates using the transform_to() method and other coordinate object" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The above is actually a special \"quick-access\" form that internally does the same as what's in the cell below: it uses the [`transform_to()`](http://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord.transform_to) method to convert from one frame to another. We can pass in an empty coordinate class to specify what coordinate system to transform into." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import Galactic # new coordinate baseclass\n", - "hcg7_center.transform_to(Galactic())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transforming coordinates using the transform_to() method and a string" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can transform using the `transform_to()` method and a string with the name of a built-in coordinate system." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.transform_to('galactic')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can transform to many coordinate frames and equinoxes. \n", - "\n", - "These coordinates are available by default:\n", - "\n", - " - ICRS\n", - " - FK5\n", - " - FK4\n", - " - FK4NoETerms\n", - " - Galactic\n", - " - Galactocentric\n", - " - Supergalactic\n", - " - AltAz\n", - " - GCRS\n", - " - CIRS\n", - " - ITRS\n", - " - HCRS\n", - " - PrecessedGeocentric\n", - " - GeocentricTrueEcliptic\n", - " - BarycentricTrueEcliptic\n", - " - HeliocentricTrueEcliptic\n", - " - SkyOffsetFrame\n", - " - GalacticLSR\n", - " - LSR\n", - " - BaseEclipticFrame\n", - " - BaseRADecFrame\n", - "\n", - "Let's focus on just a few of these. We can try FK5 coordinates next:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center_fk5 = hcg7_center.transform_to('fk5')\n", - "print(hcg7_center_fk5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And, as with the Galactic coordinates, we can acheive the same result by importing the FK5 class from the `astropy.coordinates` package. This also allows us to change the equinox." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import FK5\n", - "hcg7_center_fk5.transform_to(FK5(equinox='J1975')) # precess to a different equinox " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "\n", - "**Beware:** Changing frames also changes some of the attributes of the object, but usually in a way that makes sense. The following code should fail.\n", - "\n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "tags": [ - "raises-exception" - ] - }, - "outputs": [], - "source": [ - "hcg7_center.galactic.ra # should fail because Galactic coordinates are l/b not RA/Dec" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Instead, we now have access to the l and b attributes:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "print(hcg7_center.galactic.l, hcg7_center.galactic.b)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Section 2:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Transform frames to get to altitude-azimuth (\"AltAz\")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To actually do anything with observability we need to convert to a frame local to an on-earth observer. By far the most common choice is horizontal altitude-azimuth coordinates, or \"AltAz\". We first need to specify both where and when we want to try to observe.\n", - "\n", - "We'll need to import a few more specific modules:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import EarthLocation\n", - "from astropy.time import Time" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's first see the sky position at Kitt Peak National Observatory in Arizona." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Kitt Peak, Arizona\n", - "kitt_peak = EarthLocation(lat='31d57.5m', lon='-111d35.8m', height=2096*u.m)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For known observing sites we can enter the name directly." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "kitt_peak = EarthLocation.of_site('Kitt Peak')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can see the list of observing sites:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "EarthLocation.get_site_names()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's check the altitude at 1 AM UTC, which is 6 PM AZ mountain time:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "observing_time = Time('2010-12-21 1:00')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we use these to create an `AltAz` frame object. Note that this frame has some other information about the atmosphere, which can be used to correct for atmospheric refraction. Here we leave that alone, because the default is to ignore this effect (by setting the pressure to 0)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import AltAz\n", - "\n", - "aa = AltAz(location=kitt_peak, obstime=observing_time)\n", - "print(aa)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we can transform our ICRS `SkyCoord` to `AltAz` to get the location in the sky over Kitt Peak at the requested time." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.transform_to(aa)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To look at just the altitude we can `alt` attribute:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "hcg7_center.transform_to(aa).alt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alright, it's at 55 degrees at 6 PM, but that's pretty early to be observing. We could try various times one at a time to see if the airmass is at a darker time, but we can do better: let's try to create an airmass plot." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# this gives a Time object with an *array* of times\n", - "delta_hours = np.linspace(0, 6, 100)*u.hour\n", - "full_night_times = observing_time + delta_hours\n", - "full_night_aa_frames = AltAz(location=kitt_peak, obstime=full_night_times)\n", - "full_night_aa_coos = hcg7_center.transform_to(full_night_aa_frames)\n", - "\n", - "plt.plot(delta_hours, full_night_aa_coos.secz)\n", - "plt.xlabel('Hours from 6pm AZ time')\n", - "plt.ylabel('Airmass [Sec(z)]')\n", - "plt.ylim(0.9,3)\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Great! Looks like the lowest airmass is in another hour or so (7 PM). But that might still be twilight... When should we start observing for proper dark skies? Fortunately, Astropy provides a ``get_sun`` function that can be used to check this. Let's use it to check if we're in 18-degree twilight or not." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import get_sun\n", - "\n", - "full_night_sun_coos = get_sun(full_night_times).transform_to(full_night_aa_frames)\n", - "plt.plot(delta_hours, full_night_sun_coos.alt.deg)\n", - "plt.axhline(-18, color='k')\n", - "plt.xlabel('Hours from 6pm AZ time')\n", - "plt.ylabel('Sun altitude')\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Looks like it's just below 18 degrees at 7 PM, so you should be good to go!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also look at the object altitude at the present time and date:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "now = Time.now()\n", - "hcg7_center = SkyCoord(9.81625*u.deg, 0.88806*u.deg, frame='icrs')\n", - "kitt_peak_aa = AltAz(location=kitt_peak, obstime=now)\n", - "print(hcg7_center.transform_to(kitt_peak_aa))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercises" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try to compute to some arbitrary precision (rather than eyeballing on a plot) when 18 degree twilight or sunrise/sunset hits on that night." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise 2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try converting the HCG 7 coordinates to an equatorial frame at some other equinox a while in the past (like J2000). Do you see the precession of the equinoxes?\n", - "\n", - "Hint: To see a diagram of the supported frames look [here](http://docs.astropy.org/en/stable/coordinates/#module-astropy.coordinates) or on the list above. One of those will do what you need if you give it the right frame attributes." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise 3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try looking at the altitude of HCG 7 at another observatory." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Wrap-up" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For more documentation on the many other features of `astropy.coordinates`, check out [its section of the documentation](http://astropy.readthedocs.org/en/latest/coordinates/index.html).\n", - "\n", - "You might also be interested in [the astroplan affiliated package](http://astroplan.readthedocs.org/), which uses the `astropy.coordinates` to do more advanced versions of the tasks in the last section of this tutorial." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/tutorials/notebooks/Coordinates-Transform/requirements.txt b/tutorials/notebooks/Coordinates-Transform/requirements.txt deleted file mode 100644 index c58b45fdc..000000000 --- a/tutorials/notebooks/Coordinates-Transform/requirements.txt +++ /dev/null @@ -1,5 +0,0 @@ -astropy=2.0 -numpy=1.13 -matplotlib=2.1 -astroquery=0.3 -ipython=6.2 diff --git a/tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb similarity index 100% rename from tutorials/notebooks/Coordinates-Intro/1-Coordinates-Intro.ipynb rename to tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb diff --git a/tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb similarity index 100% rename from tutorials/notebooks/Coordinates-Intro/2-Coordinates-Transforms.ipynb rename to tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb diff --git a/tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb similarity index 100% rename from tutorials/notebooks/Coordinates-Intro/3-Coordinates-Crossmatch.ipynb rename to tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb diff --git a/tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb b/tutorials/notebooks/astropy-coordinates/4-Coordinates-Velocities.ipynb similarity index 100% rename from tutorials/notebooks/Coordinates-Intro/4-Coordinates-Velocities.ipynb rename to tutorials/notebooks/astropy-coordinates/4-Coordinates-Velocities.ipynb diff --git a/tutorials/notebooks/Coordinates-Intro/requirements.txt b/tutorials/notebooks/astropy-coordinates/requirements.txt similarity index 100% rename from tutorials/notebooks/Coordinates-Intro/requirements.txt rename to tutorials/notebooks/astropy-coordinates/requirements.txt From 101b00a22a725936400370db5eb696beed6b3b0e Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 23 Sep 2020 15:03:06 -0400 Subject: [PATCH 21/43] editing --- .../1-Coordinates-Intro.ipynb | 519 ++++++++++++------ 1 file changed, 349 insertions(+), 170 deletions(-) diff --git a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb index 34d746f3f..138c3b064 100755 --- a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb +++ b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb @@ -10,18 +10,19 @@ "Adrian Price-Whelan\n", "\n", "## Learning Goals\n", - "* Create `astropy.coordinates.SkyCoord` objects using names and coordinates\n", + "* Create `astropy.coordinates.SkyCoord` objects using coordinate data and object names\n", "* Use SkyCoord objects to become familiar with object oriented programming (OOP)\n", - "* Interact with a `SkyCoord` object and access its attributes\n", - "* Use a `SkyCoord` object to query a database\n", + "* Use a `SkyCoord` object to query the *Gaia* archive using `astroquery`\n", + "* Output coordinate data in different string representations\n", + "* Demonstrate working with 3D sky coordinates (including distance information for objects)\n", "\n", "## Keywords\n", - "coordinates, OOP, astroquery\n", + "coordinates, OOP, astroquery, gaia\n", "\n", "\n", "## Summary\n", "\n", - "Astronomers use a wide variety of coordinate systems and formats to represent sky coordinates of celestial objects. For example, you may be familiar with terms like \"right ascension\" and \"declination\" or \"galactic latitude and longitude,\" and you may have seen angular coordinate components represented as \"0h39m15.9s,\" \"00:39:15.9,\" or 9.81625º. `astropy.coordinates` provides tools for representing the coordinates of objects and transforming them between different systems. \n", + "Astronomers use a wide variety of coordinate systems and formats to represent sky coordinates of celestial objects. For example, you may have seen terms like \"right ascension\" and \"declination\" or \"galactic latitude and longitude,\" and you may have seen angular coordinate components represented as \"0h39m15.9s,\" \"00:39:15.9,\" or 9.81625º. `astropy.coordinates` provides tools for representing the coordinates of objects and transforming them between different systems. \n", "\n", "In this tutorial, we will explore how the `astropy.coordinates` package can be used to work with astronomical coordinates. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. " ] @@ -32,16 +33,16 @@ "source": [ "## Imports\n", "\n", - "We start by importing some general packages we will need below:" + "We start by importing some packages that we will need below:" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 64, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.637389Z", - "start_time": "2020-09-16T17:38:08.065804Z" + "end_time": "2020-09-23T18:48:21.893252Z", + "start_time": "2020-09-23T18:48:21.882948Z" } }, "outputs": [], @@ -54,27 +55,30 @@ "from astropy.coordinates import SkyCoord, Distance\n", "from astropy.io import fits\n", "from astropy.table import QTable\n", - "from astropy.utils.data import download_file" + "from astropy.utils.data import download_file\n", + "\n", + "from astroquery.gaia import Gaia\n", + "Gaia.ROW_LIMIT = 10000 # Set the row limit for returned data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Representing on-sky locations with `astropy.coordinates`\n", + "## Representing On-sky Positions with `astropy.coordinates`\n", "\n", "In Astropy, the most common way of representing and working with sky coordinates is to use the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). A `SkyCoord` can be created directly from angles or arrays of angles with associated units, as demonstrated below. \n", "\n", - "To get started, let's assume that we want to create a `SkyCoord` object for the center of the open cluster NGC 188 so that later we can query and retrieve stars that might be members of the cluster. Let's also assume, for now, that we already know the sky coordinates of the cluster to be (12.11, 85.26) degrees in the ICRS coordinate frame. The ICRS — sometimes referred to as \"equitorial\" or \"J2000\" coordinates — is currently the most common astronomical coordinate frame for stellar or extragalactic astronomy, and is the default coordinate frame for `SkyCoord`. We could therefore create a `SkyCoord` object for the center of NGC 188 as:" + "To get started, let's assume that we want to create a `SkyCoord` object for the center of the open star cluster NGC 188 so that later we can query and retrieve stars that might be members of the cluster. Let's also assume, for now, that we already know the sky coordinates of the cluster to be (12.11, 85.26) degrees in the ICRS coordinate frame. The ICRS — sometimes referred to as \"equatorial\" or \"J2000\" coordinates ([more info about the ICRS](https://arxiv.org/abs/astro-ph/0602086)) — is currently the most common astronomical coordinate frame for stellar or extragalactic astronomy, and is the default coordinate frame for `SkyCoord`. Since we already know the ICRS position of NGC 188 (see above), we can create a `SkyCoord` object for the cluster by passing the data in to the `SkyCoord` initializer:" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.645828Z", - "start_time": "2020-09-16T17:38:09.639004Z" + "end_time": "2020-09-23T17:58:46.032860Z", + "start_time": "2020-09-23T17:58:46.027984Z" } }, "outputs": [ @@ -85,7 +89,7 @@ " (12.11, 85.26)>" ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -99,16 +103,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "It is generally recommended to explicitly specify the frame your coordinates are in. In this case, because ICRS is the default, this would be an equivalent way of creating our `SkyCoord` object:" + "Even though the default frame is ICRS, it is generally recommended to explicitly specify the frame your coordinates are in. In this case, this would be an equivalent way of creating our `SkyCoord` object for NGC 188:" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.653983Z", - "start_time": "2020-09-16T17:38:09.648942Z" + "end_time": "2020-09-23T17:58:46.038477Z", + "start_time": "2020-09-23T17:58:46.034583Z" } }, "outputs": [ @@ -119,7 +123,7 @@ " (12.11, 85.26)>" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -133,18 +137,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As we will see below, there are many other supported coordinate frames.\n", + "As we will see later on in this series, there are many other supported coordinate frames, so it helps to get into the habit of passing in the name of a coordinate frame.\n", "\n", - "In the above initializations, we passed in `astropy.units.Quantity` objects with angular units to specify the angular components of our sky coordinates. However, `SkyCoord` will also accept string-formatted coordinates either as separate strings for Right Ascension (RA) and Declination (Dec) or a single string:" + "In the above initializations, we passed in `astropy.units.Quantity` objects with angular units to specify the angular components of our sky coordinates. The `SkyCoord` initializer will also accept string-formatted coordinates either as separate strings for Right Ascension (RA) and Declination (Dec) or a single string. For example, if we have sexagesimal sky coordinate data: In this case, the representation of the data includes specifications of the units (the \"hms\" for \"hour minute second\", and the \"dms\" for \"degrees minute second\"" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:10.257871Z", - "start_time": "2020-09-16T17:38:10.230429Z" + "end_time": "2020-09-23T17:58:46.320872Z", + "start_time": "2020-09-23T17:58:46.299163Z" } }, "outputs": [ @@ -155,7 +159,7 @@ " (12.11, 85.26)>" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -168,16 +172,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Some string representations do not explicitly define units, so you would have to specify the units explicitly if they are not included in the string:" + "Some string representations do not explicitly define units, so it is sometimes necessary to specify the units of the string coordinate data explicitly if they are not implicitly included:" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:10.954565Z", - "start_time": "2020-09-16T17:38:10.948613Z" + "end_time": "2020-09-23T17:58:46.874707Z", + "start_time": "2020-09-23T17:58:46.868479Z" } }, "outputs": [ @@ -188,7 +192,7 @@ " (12.11, 85.26)>" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -209,18 +213,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "For the initializations above, we assumed that we already had the coordinate component values ready. If you do not know the coordinate values, and the object you are interested in is in [SESAME](http://cdsweb.u-strasbg.fr/cgi-bin/Sesame), you can also automatically look up and load coordinate values from the name of the object using the `SkyCoord.from_name()` class method1 ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#convenience-methods)). Note, however, that this requires an internet connection. It is safe to skip this cell if you are not connected to the internet because we already defined it above.\n", + "For the `SkyCoord` initializations demonstrated above, we assumed that we already had the coordinate component values ready. If you do not know the coordinate values and the object you are interested in is in [SESAME](http://cdsweb.u-strasbg.fr/cgi-bin/Sesame), you can also automatically look up and load coordinate values from the name of the object using the `SkyCoord.from_name()` class method1 ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#convenience-methods)). Note, however, that this requires an internet connection. It is safe to skip this cell if you are not connected to the internet because we already defined the object `ngc188_center` in the cells above.\n", "\n", - " 1If you don't know what a class method is, think of it like an alternative constructor for a `SkyCoord` object — calling `SkyCoord.from_name()` with a name gives you a new `SkyCoord` object. For more detailed background on what class methods are and when they're useful, see [this page](https://julien.danjou.info/blog/2013/guide-python-static-class-abstract-methods)." + " 1If you do not know what a class method is, think of it like an alternative constructor for a `SkyCoord` object — calling `SkyCoord.from_name()` with a name gives you a new `SkyCoord` object. For more detailed background on what class methods are and when they're useful, see [this page](https://julien.danjou.info/blog/2013/guide-python-static-class-abstract-methods)." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:14.284017Z", - "start_time": "2020-09-16T17:38:12.753656Z" + "end_time": "2020-09-23T17:58:48.215004Z", + "start_time": "2020-09-23T17:58:48.207975Z" } }, "outputs": [ @@ -231,7 +235,7 @@ " (12.10833333, 85.255)>" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -245,16 +249,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The `SkyCoord` object we created has various ways of accessing the information contained within it. All `SkyCoord` objects have attributes that allow you to retrieve the coordinate component data, but the component names will change depending on the coordinate frame of the `SkyCoord` you have. In our case, we have a `SkyCoord` with ICRS coordinates. The component names are therefore lower-case abbreviations of Right Ascension, `.ra`, and Declination, `.dec`:" + "The `SkyCoord` object that we defined now has various ways of accessing the coordinate information contained within it. All `SkyCoord` objects have attributes that allow you to retrieve the coordinate component data, but the component names will change depending on the coordinate frame of the `SkyCoord` you have. In our examples we have created a `SkyCoord` in the ICRS frame, so the component names are lower-case abbreviations of Right Ascension, `.ra`, and Declination, `.dec`:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:15.093584Z", - "start_time": "2020-09-16T17:38:15.089068Z" + "end_time": "2020-09-23T17:58:49.360832Z", + "start_time": "2020-09-23T17:58:49.356971Z" } }, "outputs": [ @@ -264,7 +268,7 @@ "(, )" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -277,16 +281,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "These ``ra`` and ``dec`` attributes return specialized [``Quantity``](http://docs.astropy.org/en/stable/units/index.html) objects (actually, a subclass called [``Angle``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Angle.html), which in turn is subclassed by [``Latitude``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Latitude.html) and [``Longitude``](http://docs.astropy.org/en/stable/api/astropy.coordinates.Longitude.html)). These objects store angles and provide pretty representations of those angles, as well as some useful attributes to quickly convert to common angle units. For example, in a Jupyter notebook, these objects know how to represent themselves using LaTeX:" + "The `SkyCoord` component attributes (here ``ra`` and ``dec``) return specialized `Quantity`-like objects that make working with angular data easier. While `Quantity` ([docs](http://docs.astropy.org/en/stable/units/index.html)) is a general class that represents numerical values and physical units of any kind, `astropy.coordinates` defines subclasses of `Quantity` that are specifically designed for working with angles, such as the `Angle` ([docs](http://docs.astropy.org/en/stable/api/astropy.coordinates.Angle.html)) class. The `Angle` class then has additional, more specialized subclasses `Latitude` ([docs](http://docs.astropy.org/en/stable/api/astropy.coordinates.Latitude.html)) and `Longitude` ([docs](http://docs.astropy.org/en/stable/api/astropy.coordinates.Longitude.html)). These objects store angles, provide useful attributes to quickly convert to common angular units, and enable formatting the numerical values in various formats. For example, in a Jupyter notebook, these objects know how to represent themselves using LaTeX:" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:16.068773Z", - "start_time": "2020-09-16T17:38:16.064277Z" + "end_time": "2020-09-23T17:58:51.872502Z", + "start_time": "2020-09-23T17:58:51.868141Z" } }, "outputs": [ @@ -299,7 +303,7 @@ "" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -310,11 +314,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:16.539590Z", - "start_time": "2020-09-16T17:38:16.536245Z" + "end_time": "2020-09-23T17:58:52.483084Z", + "start_time": "2020-09-23T17:58:52.479378Z" } }, "outputs": [ @@ -327,7 +331,7 @@ "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -336,117 +340,156 @@ "ngc188_center.dec" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-23T17:59:23.860046Z", + "start_time": "2020-09-23T17:59:23.856104Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(astropy.coordinates.angles.Longitude, astropy.coordinates.angles.Latitude)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(ngc188_center.ra), type(ngc188_center.dec)" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can also retrieve the component values in different units:" + "With these objects, we can retrieve the coordinate components in different units using the `Quantity.to()` method:" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:17.043732Z", - "start_time": "2020-09-16T17:38:17.040026Z" + "end_time": "2020-09-23T18:02:41.467293Z", + "start_time": "2020-09-23T18:02:41.462222Z" } }, "outputs": [ { "data": { "text/plain": [ - "(0.8072222220000002, 0.2113302835374691, 12.10833333)" + "(,\n", + " ,\n", + " )" ] }, - "execution_count": 10, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ngc188_center.ra.hour, ngc188_center.ra.radian, ngc188_center.ra.degree" + "(ngc188_center.ra.to(u.hourangle), \n", + " ngc188_center.ra.to(u.radian),\n", + " ngc188_center.ra.to(u.degree))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "And format the values into strings with specified units ([docs](http://docs.astropy.org/en/latest/coordinates/formatting.html)), for example:" + "Or using the shorthand attributes, which return only the component values:" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:17.531429Z", - "start_time": "2020-09-16T17:38:17.527344Z" + "end_time": "2020-09-23T18:02:48.762297Z", + "start_time": "2020-09-23T18:02:48.758408Z" } }, "outputs": [ { "data": { "text/plain": [ - "'0:48:26'" + "(0.8072222220000002, 0.2113302835374691, 12.10833333)" ] }, - "execution_count": 11, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ngc188_center.ra.to_string(unit=u.hourangle, sep=':')" + "(ngc188_center.ra.hour, \n", + " ngc188_center.ra.radian, \n", + " ngc188_center.ra.degree)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now that we have a `SkyCoord` object for the center of NGC 188, we can select sources from the *Gaia* Data Release 2 catalog around this position to try to find stars that might be members of the cluster. To do this, we will use the `astroquery.gaia` module to query the *Gaia* data archive ([docs](https://astroquery.readthedocs.io/en/latest/gaia/gaia.html)).\n", - "\n", - "This requires an internet connection, but if it fails, the catalog file is included in the repository so you can load it locally (i.e., skip the next cell if you do not have an internet connection):" + "We can also format the values into strings with specified units ([docs](http://docs.astropy.org/en/latest/coordinates/formatting.html)), for example:" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:18.632175Z", - "start_time": "2020-09-16T17:38:18.063885Z" + "end_time": "2020-09-23T18:08:36.861620Z", + "start_time": "2020-09-23T18:08:36.857655Z" } }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Created TAP+ (v1.2.1) - Connection:\n", - "\tHost: gea.esac.esa.int\n", - "\tUse HTTPS: True\n", - "\tPort: 443\n", - "\tSSL Port: 443\n", - "Created TAP+ (v1.2.1) - Connection:\n", - "\tHost: geadata.esac.esa.int\n", - "\tUse HTTPS: True\n", - "\tPort: 443\n", - "\tSSL Port: 443\n" - ] + "data": { + "text/plain": [ + "'00:48:26'" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from astroquery.gaia import Gaia" + "ngc188_center.ra.to_string(unit=u.hourangle, sep=':', pad=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Querying the *Gaia* Archive to Retrieve Coordinates of Stars in NGC 188" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have a `SkyCoord` object for the center of NGC 188, we can use this object with the `astroquery` package to query many different astronomical databases (see a full list of [available services in the astroquery documentation](https://astroquery.readthedocs.io/en/latest/#available-services)). Here, we will use the `SkyCoord` object `ngc188_center` to select sources from the *Gaia* Data Release 2 catalog around the position of the center of NGC 188 to look for stars that might be members of the star cluster. To do this, we will use the `astroquery.gaia` subpackage ([docs](https://astroquery.readthedocs.io/en/latest/gaia/gaia.html)).\n", + "\n", + "This requires an internet connection, but if it fails, the catalog file is included in the repository so you can load it locally (skip the next cell if you do not have an internet connection):" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 56, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:23.206011Z", - "start_time": "2020-09-16T17:38:18.633774Z" + "end_time": "2020-09-23T18:47:45.698231Z", + "start_time": "2020-09-23T18:47:33.521150Z" } }, "outputs": [ @@ -460,10 +503,35 @@ ], "source": [ "job = Gaia.cone_search_async(ngc188_center, radius=0.5*u.deg)\n", - "table = job.get_results()\n", + "ngc188_table = job.get_results()\n", "\n", "# only keep stars brighter than G=19 magnitude\n", - "table = table[table['phot_g_mean_mag'] < 19*u.mag]" + "ngc188_table = ngc188_table[ngc188_table['phot_g_mean_mag'] < 19*u.mag]" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-23T18:47:50.552052Z", + "start_time": "2020-09-23T18:47:50.464146Z" + } + }, + "outputs": [], + "source": [ + "cols = ['source_id',\n", + " 'ra',\n", + " 'dec',\n", + " 'parallax',\n", + " 'parallax_error',\n", + " 'pmra',\n", + " 'pmdec',\n", + " 'radial_velocity',\n", + " 'phot_g_mean_mag',\n", + " 'phot_bp_mean_mag',\n", + " 'phot_rp_mean_mag']\n", + "ngc188_table[cols].write('gaia_results.fits', overwrite=True)" ] }, { @@ -475,122 +543,122 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 58, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:24.618713Z", - "start_time": "2020-09-16T17:39:24.578513Z" + "end_time": "2020-09-23T18:47:51.486767Z", + "start_time": "2020-09-23T18:47:51.455375Z" } }, "outputs": [], "source": [ - "table = QTable.read('gaia_results.fits')" + "ngc188_table = QTable.read('gaia_results.fits')" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 59, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:25.112245Z", - "start_time": "2020-09-16T17:39:25.108718Z" + "end_time": "2020-09-23T18:47:51.775444Z", + "start_time": "2020-09-23T18:47:51.772119Z" } }, "outputs": [ { "data": { "text/plain": [ - "4977" + "4938" ] }, - "execution_count": 16, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "len(table)" + "len(ngc188_table)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This table now contains about 5000 stars from *Gaia* DR2 around the coordinate position of the center of NGC 188. Let's now construct a `SkyCoord` object with the results table. In the *Gaia* data archive, the ICRS coordinates of a source are given as column names `\"ra\"` and `\"dec\"`:" + "The returned `astropy.table` `Table` object now contains about 5000 stars from *Gaia* DR2 around the coordinate position of the center of NGC 188. Let's now construct a `SkyCoord` object with the results table. In the *Gaia* data archive, the ICRS coordinates of a source are given as column names `\"ra\"` and `\"dec\"`:" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 61, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:25.572834Z", - "start_time": "2020-09-16T17:39:25.569263Z" + "end_time": "2020-09-23T18:47:59.797160Z", + "start_time": "2020-09-23T18:47:59.793294Z" } }, "outputs": [ { "data": { "text/latex": [ - "$[12.12844,~12.093813,~12.09833,~\\dots,~14.151609,~12.610737,~9.634002] \\; \\mathrm{{}^{\\circ}}$" + "$[12.09833,~12.146945,~12.054604,~\\dots,~6.1584024,~11.711371,~10.891798] \\; \\mathrm{{}^{\\circ}}$" ], "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "table['ra']" + "ngc188_table['ra']" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 62, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:25.910083Z", - "start_time": "2020-09-16T17:39:25.906079Z" + "end_time": "2020-09-23T18:47:59.971934Z", + "start_time": "2020-09-23T18:47:59.968056Z" } }, "outputs": [ { "data": { "text/latex": [ - "$[85.260769,~85.265226,~85.254431,~\\dots,~84.792813,~85.758263,~84.808327] \\; \\mathrm{{}^{\\circ}}$" + "$[85.254431,~85.254751,~85.256369,~\\dots,~85.32562,~85.74769,~84.772649] \\; \\mathrm{{}^{\\circ}}$" ], "text/plain": [ - "" + "" ] }, - "execution_count": 18, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "table['dec']" + "ngc188_table['dec']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that, because the *Gaia* archive provides data tables with associated units, and we read this table with the `QTable` object ([docs](http://docs.astropy.org/en/latest/table/mixin_columns.html#quantity-and-qtable)), the above columns are represented as `Quantity` objects with units of degrees. Note also that these columns contain many (>5000!) coordinate values. We can pass these directly in to `SkyCoord` to get a single `SkyCoord` object to represent all of these coordinates:" + "Note that, because the *Gaia* archive provides data tables with associated units, and we read this table using the `QTable` object ([docs](http://docs.astropy.org/en/latest/table/mixin_columns.html#quantity-and-qtable)), the above table columns are represented as `Quantity` objects with units of degrees. Note also that these columns contain many (>5000!) coordinate values. We can pass these directly in to `SkyCoord` to get a single `SkyCoord` object to represent all of these coordinates:" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 63, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:26.529809Z", - "start_time": "2020-09-16T17:39:26.523670Z" + "end_time": "2020-09-23T18:48:00.860390Z", + "start_time": "2020-09-23T18:48:00.853979Z" } }, "outputs": [ @@ -598,19 +666,19 @@ "data": { "text/plain": [ "" + " [(12.09832966, 85.25443128), (12.14694473, 85.25475081),\n", + " (12.05460389, 85.25636896), ..., ( 6.15840244, 85.32562027),\n", + " (11.71137094, 85.74769043), (10.89179821, 84.77264889)]>" ] }, - "execution_count": 19, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "gaia_coords = SkyCoord(table['ra'], table['dec'])\n", - "gaia_coords" + "ngc188_gaia_coords = SkyCoord(ngc188_table['ra'], ngc188_table['dec'])\n", + "ngc188_gaia_coords" ] }, { @@ -624,7 +692,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Create a `SkyCoord` of the open cluster the Pleiades (either by looking up the coordinates and passing them in, or by using the convenience method we learned about above):" + "Create a `SkyCoord` for the center of the open cluster the Pleiades (either by looking up the coordinates and passing them in, or by using the convenience method we learned about above):" ] }, { @@ -647,7 +715,7 @@ "source": [ "Using only a single method/function call on the `SkyCoord` object representing the center of NGC 188, print a string with the RA/Dec in the form 'HH:MM:SS.S DD:MM:SS.S'. Check your answer against [SIMBAD](http://simbad.u-strasbg.fr/simbad/), which will show you sexagesimal coordinates for the object.\n", "\n", - "(Hint: `SkyCoord.to_string()` might be useful.)" + "(Hint: `SkyCoord.to_string()` might be useful)" ] }, { @@ -681,7 +749,7 @@ "source": [ "Using a single method/function call on the `SkyCoord` object containing the results of our *Gaia* query, compute the angular separation between each resulting star and the coordinates of the cluster center.\n", "\n", - "(Hint: `SkyCoord.separation()` might be useful.)" + "(Hint: `SkyCoord.separation()` might be useful)" ] }, { @@ -715,27 +783,25 @@ } ], "source": [ - "gaia_coords.separation(ngc188_center)" + "ngc188_gaia_coords.separation(ngc188_center)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "---\n", + "## More Than Just Sky Positions: Including Distance Information in `SkyCoord`\n", "\n", - "## More than just sky positions: Including distance information in `SkyCoord`\n", - "\n", - "So far, we have only used `SkyCoord` to represent sky positions (i.e., `ra` and `dec` only). It is sometimes useful to include distance information with the sky coordinates, thereby fully specifying the 3D position of a given source. To pass in distance information, `SkyCoord` accepts a keyword argument `distance`. So, if we knew the distance to NGC 188, we could also pass in a distance (as a `Quantity` object) using this argument:" + "So far, we have used `SkyCoord` to represent angular sky positions (i.e., `ra` and `dec` only). It is sometimes useful to include distance information with the sky coordinates of a source, thereby specifying the full 3D position of an object. To pass in distance information, `SkyCoord` accepts the keyword argument \"`distance`\". So, if we knew that the distance to NGC 188 is 1.96 kpc, we could also pass in a distance (as a `Quantity` object) using this argument:" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:38.404240Z", - "start_time": "2020-09-16T17:39:38.401162Z" + "end_time": "2020-09-23T18:44:08.591945Z", + "start_time": "2020-09-23T18:44:08.588680Z" } }, "outputs": [], @@ -748,16 +814,52 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "With our results from querying the *Gaia* catalog, we are also given parallax measurements to each star in the catalog. The default way of passing in a distance, as above, is to pass in a `Quantity` with a unit of length. However, `astropy.coordinates` also provides a specialized object, `Distance`, for handling common transformations of different distance representations ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#distance)). Among other things, this class supports passing in a parallax value (but note that the transformation to distance here inverts the parallax, which is not always a good idea!):" + "With the table of *Gaia* data we retrieved above for stars around NGC 188, `ngc188_table`, we also have parallax measurements for each star. For a precisely-measured parallax $\\varpi$, the distance $d$ to a star can be obtained approximately as $d \\approx 1/\\varpi$. This only really works if the parallax error is small relative to the parallax ([see discussion in this paper](https://arxiv.org/abs/1507.02105)), so if we want to use these parallaxes to get distances we first have to filter out stars that have low signal-to-noise parallaxes:" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 66, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:39.289966Z", - "start_time": "2020-09-16T17:39:39.285533Z" + "end_time": "2020-09-23T18:48:45.586828Z", + "start_time": "2020-09-23T18:48:45.581532Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2053" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parallax_snr = ngc188_table['parallax'] / ngc188_table['parallax_error']\n", + "ngc188_table_3d = ngc188_table[parallax_snr > 10] \n", + "len(ngc188_table_3d)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above selection on `parallax_snr` keeps stars that have a ~10-sigma parallax measurement, but this is an arbitrary selection threshold that you may want to tune or remove in your own use cases. This selection removed over half of the stars in our original table, but for the remaining stars we can be confident that converting the parallax measurements to distances is mostly safe.\n", + "\n", + "The default way of passing in a distance to a `SkyCoord` object, as above, is to pass in a `Quantity` with a unit of length. However, `astropy.coordinates` also provides a specialized object, `Distance`, for handling common transformations of different distance representations ([docs](http://docs.astropy.org/en/latest/coordinates/index.html#distance)). Among other things, this class supports passing in a parallax value:" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-23T18:51:04.665077Z", + "start_time": "2020-09-23T18:51:04.659066Z" } }, "outputs": [ @@ -770,7 +872,7 @@ "" ] }, - "execution_count": 24, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -783,16 +885,37 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The catalog of stars we queried from *Gaia* contains parallax information, so we can also create a `SkyCoord` object to represent the 3D positions of all of the *Gaia* stars. Here, we sub-select the table to return only stars with positive parallax values:" + "The catalog of stars we queried from *Gaia* contains parallax information in milliarcsecond units, so we can create a `Distance` object directly from these values:" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 69, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:40.184647Z", - "start_time": "2020-09-16T17:39:40.176705Z" + "end_time": "2020-09-23T18:51:56.806384Z", + "start_time": "2020-09-23T18:51:56.803877Z" + } + }, + "outputs": [], + "source": [ + "gaia_dist = Distance(parallax=ngc188_table_3d['parallax'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can then create a `SkyCoord` object to represent the 3D positions of all of the *Gaia* stars by passing in this distance object to the `SkyCoord` initializer:" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-23T18:52:46.395697Z", + "start_time": "2020-09-23T18:52:46.389374Z" } }, "outputs": [ @@ -800,26 +923,82 @@ "data": { "text/plain": [ "" + " [(12.09832966, 85.25443128, 1109.14781668),\n", + " (12.12843989, 85.26076889, 1835.66340989),\n", + " (12.07705917, 85.24631009, 1974.19410857), ...,\n", + " ( 6.13894786, 85.25954928, 2532.64969255),\n", + " ( 6.15840244, 85.32562027, 1795.07434822),\n", + " (11.71137094, 85.74769043, 367.13489233)]>" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ngc188_coords_3d = SkyCoord(ra=ngc188_table_3d['ra'], \n", + " dec=ngc188_table_3d['dec'],\n", + " distance=gaia_dist)\n", + "ngc188_coords_3d" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now use `matplotlib` to plot the sky positions of all of these sources, colored by distance to emphasize the cluster stars:" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-23T18:57:05.374403Z", + "start_time": "2020-09-23T18:57:05.079702Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Dec [deg]')" ] }, - "execution_count": 25, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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esUoQBMg+eduCW9M0obd0WNbqB79eWY71399KsdKVbW9ne9dqNVqoFquoV+qdfTDGYJrmSDMq1WLV9YNitWhnbduZYzeJTGLgbDIv8MgcyiCejm/4PaXsESG7h62MCfLkP4pw9yXK4BJCyBiQ/TJq5e6OS5bu7AjMcTyiqSnXfUQmIsifyju28TyPYNRZdnzpE0+DXxbxk3tPQTctnDETxxVPPh3CDmU5+yH7ZEwemuysxRUlEbFUbOCM4SgwxlBcLnaCP47jMJGZQCgagi/g62xfyxd0riF1W8u6dvv6YwB2pjQQDqBaqIIxBl7gkZhKIBAavvR6fefqtvYaWUHoXR682Ugfy7Kgt3RwPAdJlrovWPA8IhMRAPb66rXdxAEAHODfpsw1IYSQ8UMBLiGEjIFQLIRWo4V6ZbUMVPbLkMUAtCoHgEEQJUyfeS58IfdMVyga6syRNQ0Tkk/CRGaiKxjkeQ6XXHAYl1xweDuf0qYYY7BMC7zAb5gBlH2yY63obqsUKo7AkzGG/Kk8vvf+z2Huzgdw3u8/HZnfWG0E5gv4uhpi9QrQ29ubtWZXoGxoznXFlmkhO5dF5nAGsk+Grulo1VvgOA7+kL+vNauyX0az1uzaLvklMMbQatj7XZ9JjSaiG37vmrUmsgvZTvZZ9tvfy17nlphKYHluGXrLXmPNcRwSUwmIMn2cIWRXebVEeQCKovAA/ieAFwKYBXAUgAxgAcBtAD4D4Guqqu5YelhRlKcD+AaAl6mq+tGdOu64or8IhBAyBtof5EPREHRNhyAKCIQD4LgM0ocVmIYOUfaB61Ge3BaOhbuaGXlRvVJHfjEPZtmjdGKpWCeL53VrL0KsZegm1FvvgnrrXTjtyY/F8975ZwhGw/AFuxtCtcf0mGu6WXMch1jSDoQ3arzUdT7lOnSf7sje8wKP9Ex60+xqW2Qigma9Ca2xWoos+2VEE1EUFgtd1QVru0P3YhomsvNZR1CsNTXkF/NIz6S77m+ZFkq5EhhjkGQJ/pAfkYkINZcixAv2yDIBRVFOB3ANgG8C+GNVVXMr248CeA2A1wN4BYAfKorySlVV79mBcwoDuG67j7OXUIBLCCEjYugGLNOCKG1P06J25s0fcpZj8oIIXtg7v85b9RZyC6ujj9rluLzAj3UjIW7Ne+KhH9yJn9/wTTz9dS90va8gCMgczHS6KAuigGgi2mkwxfFbX9NqmiYqp5yNyCzTQm4hh6kjWxslxPM8JmcnO7OYRUlEMBKEaZqupfPMYghFQ677bjVaqJVq0Fqa69rZZq3ZmRG8dn9LJ5c6mVvA7qAt+aSxfk8QsicwBmZ5NIPbR+CtKMo0gM8BuEpV1V+s/Zqqqg8DeIOiKL8AcD2AJwG4VVGU39qBIPefARzZ5mPsKXvnExEhhOySdglqO3O3ds3lXsMs1glMZL/cs3HVMGqV7oAJsDOR4/CaBkIBRyDW9siPf+W4XTixuOF+BFHAxOSE69dCkRAq+cqWmiv1Wh/bviCz1Qwox3Fdr7/Zcl+bCwD5pTwisYjjgkyj2kB2Prul461Vr9ZdX9NSrjQW7wlC9ry9UaL8bwA+sj64XUtV1Y8rivICAM8BEAdwo6IoZ6mq2r2GYwQURbkYwJ9sx773Mu91DCGEkDFTypYcZantgLfXWB6vY4yhUqggt5BDfnH1eegtHQuPLGDpxBKWTy5j4eEFtJpbL5Xt5/j9bPeaaDLqmKnLLIZbP/A5nPzFfY77JY9MD3wMURaRnk131p7yPI9YKgZfwNmsKjIR6cr4r9VPJtj1PDZo5tWsNrE8t4xKYTV7XFgqbLpPu/TeeV6m4R5I99pOCCH9WMnePg/2OtfNfHjN/x8FcNU2nVMAwIcADPeLeh+iDC4hhAypUW303L7VNY5ewRhDbiHneE61Ug2pAykUl4uONaHtJkbTR6dHmsn1B/2uM1XXdxper1VvQWtp4AUegVBgx2bbrsdxHJLTSRi6AdMwUV7I4v5v/tRxn7QyiydddelQx/EFfJg+Mu0o541MRNBqtGAZFjhRwAMnKig8ksWRGA9+XYYlGA0O/X0TRAHxdBzF5WLP+xSXi51jbRaQ+oI+JDKJru2Sz332b6+ZwISQnTUuFyA3cC4AAcAhAHdvct/b192+FMAHtuGc3g6ge24f2RQFuISQfWUhX8LdjyygqemIh4N4nDKLkH/jwGk/adabrgF7YangGpxYpj3iZX3mcBjBSBBaU3N0CQ6EA4gmoj0fU1wuOjKFgiRgcnay73FBrcZKkMzzCIQDAweAHGePvBElEb54BC+69m/w8099A81iFZkzD+Epr74C/hGV1q7NdnIcB3/Qj2bLwHuvvxPqCXtubtgv4KXPOIRkWATHcQhGg5hIu5c/9ysyEYEoi6iVaj0v9pi6CcEvgBf4zmihteKTcQRCAQii4Lpu1x/0IxgJOiolOI7rWcI9rHYHbwCbdvEmhDAPlyhvOfBu/4H5L0VRPgjgs6qq/rTHfdevszh9kDPbiKIojwfwOgBXwy6dJn2gAJcQsm/M50v41p33d26X6k0slyp41gVnwz9EJigQDjiCqzZ/ePxmcxqa+/zVnSwFbQcuoVgIhmZAEAXIfrlnkNGsN7tef1M3UVgquHbj7aWULaGcL3dui9JKGfCAM3UZY8jOZ9GsNeGfiOBJr3ouACA5lURg3ezhUfvCLQ91glsAqDZN/L8vPYxXPPc38Phzt9ZYqh+BUACSLPUMcNvrfOPpeNcsZn/Qj3AsvOE5tbuI+4I+aE37AkQoFtqWDK5pmMgt5DqdqiWfhNR0ikYREbIB5tkAd8vUlf8mAbwJwBsVRXmNqqrXuNx3fXv4kaavFUWRYZdB/xjA+0ABbt9oDS4hZN+4+9h817Z6S4e60H/Tm7ViyZhjzSU4YCIzAUEQYHm1s2QPvYK5dpDpdv9+y7AfufcU3vOnn8BbnncNrnnjZ5FfLLveT/bJCEaC8AW6x+istXZ0zVa2u2nWm47gFrCbMG1lzehG+3SbHVvM9i7nHZUHjrsf48Hj5W3LRoqSiFCsOysdjoU7AW4oGkLqQAr+kB+8JMDigYrWxNJyHpa18WdEjuMQjoWRyCQQT8c3DW4ZY3YjrT5+BhljyC5kHWOY9JaO5fnlvVCCScj2YCsZXE/+2/LP7R0A1jaX4gC8usd915cN/7rPV2wzfws7K/wKVVXH60OER9DlSELIvtHQuruwbrR9qzieQ+pACoZmwDRNGIaB4lIRBdMOjsLxMOLp+FiUOfpDfvgCvq45q+0GRrmFXKfplCRLSB5I9vW8jt2zgL9+zv9Fq27v457bHsYvvnMf3nnzaxFLbj6flzFmrzG1LMg+GaIkghPcj99ru5tRBMnrrV2v7NhumF1jcEbNL7t3Rvb12D4qE5MTECWxk8kNhANds3AD4QAq9QZK5dULCs2WBq2lYXZ2NNnlWrmGwlIBzGIAB8QSMUQSkU33bRqm6/fc0AxoTW2kpfiE7CljfgFIVVWmKMrLAdwMYGpl88963P3p627/16jOQ1GUx8LOIP+dqqr3jmq/+w0FuISQfSMeCqDS6O76GwsFXO7dP1EWwTSG/Mm8o2CpWqyCF3jEkrGRHGc7cRyH1EwK5VwZWlMDx3MIx8MIrLxGkwcnO+XKvdZLbuRT7/lGJ7hty84VcfNHfogXvuEZGz7WNEwszy07xsVMZCYQDAdRzpW71nZG4uuryHrr1U24nyB5vY2y4cMGcY1qA+V8GaZhQvJJmEhPOEpon3LhDB44XnI8RhJ5POm8qfW7GimO4xBNRDdcL21ZFrK57sx4pVpHs6khMGQQ2aw3nWXQzB4nxIs8wrGNL6JQlpYQ77nitW8b+LGRSASiuLVwR1XVOxRFOR3AUwBYcOmorCgKB2fX5BtVVf3SwCfo3LcI4CMA7gLwrlHsc7+iAJcQsm887vSDWC5V0dRX15lOTUShTKVGdoxGpeG6Gqdero9FgAvYI2fi6bjr1ziOG3hNKgAsn3Qv+V2e27xst7BU6JqFWlgsQD4sY3J20h5ptNIgKjIRQTi+eUa4LRgJopzvDpI3C4g24gv6EAgHutal9nptt2r9LFnTMLHYXMTU4alOKfDjz51Co2niS99+CJW6jslEAFde9igcmBzs+bQz56ZhQpKlobqDG2bv9dyGYQDYOMBljKFerqNeqYMxBn/Ij8jEanZ2bSOqterl+qbfT1ESIUoiDN25Fp0X+J6dnAkhe2INLgBAVdUagJs2uMurADxm5f9/AODFIzz8mwCcA+ACVVXdG2KQLaEAlxCyb0QCflx64Tl4YGHZ7qIcCuD06RT4IWeBrjXuM1zdNOtN1Mo1MIvBF/Rt2hBoI9NHU1DvmuvefiS5+Xm4rGcF7PFAkYkIMocyA50TYGdV07NpFBYLdhMjwQ6S15fX9qM9LqharKLVaNnZ8Gh403FHm1m/Vhiwu1nXyjVH5vQpF87gKRfOoKXpMFcuDJiG2QmCt4pZK82y6quv/zBl95Iogud517WxPt/mgXMlX0Ept5qdbjVa0DUdiUzCPp8hftQ4jkPyQBLZuWynUoEXeKQOpEY6CouQvWV7uyh/7t/+ZuDHvu3aT+ORIftstCmKch6Ad6zc/DaAZ68ExKPY92/AXnv7T6qq3jWKfe5nFOASQvaVgE/CY44c2Lb9+4N+1wDEHxq/jsqAnQ3LLeQ6txvVBrSGhsRUYqDg5sVv/D3c+f0HUcmvfiY4+KgMnvXy39r0sRzHuV4oGNVaVtknI3MoM9L1sRzHDR0or2f2yIC6dbpuNVrIzmc7men2enF/cOvvx1Ku5AhuAbvsXvbLCA0w6ojjOExPpzE3t+jYnk5NQN6kcZRlWY7gtq1eriM6EYXkk+AP+lErd3/m3OqFBdknY+rIlL3WnAGyX961mcqEjAUGYJMmcbtmRKe1Etx+E3YH5X8H8AZVVYdr4LG6bx521+QHAPzjKPa531GASwghI+QL+hBPx1FcXi259QV8A5WlGrqFL33uPtz581MQBA5P+K1ZXPJMZaQZ540wxly7CNcrdYTj4YEa7kwdSeJdX30tvnzt95E/VcbM6Wlc/qrfRjCyecAVjAVRLVQd2zieG/nFA683A5N9Mhp69zie9WXDzGLILeQcZdftbdNHp7eckVzfcKyzvd4aKMAFgFg0DFkSUSpXwRhDOBREJLL5viyjd5bIMAxIPgmBSACRVsQxOioQ2XiO8no8z/d1EYCQ/YzBuyXKo4hvFUW5BMBnYE+feaGqqjeMYLdrvQ7AhQAuUlV18M6GpIMCXEIIGbHIRASBcAB6Swcv8BvOcO2FMYZr/+N2/PiHq+W86gMFFHINvPCl5476lN3PwWJda1LbDN0YuKNsemYCL/+Hy/t+XDwVB7MYaiU7OyeIApLTyaHWBI+jeDoOrak5Mrb+kB/BiHO2rq7rrlldy7Sgt/Qtf/96vXd7NebaqkDAj0CgvyCSF/memfz2+4DjOMTTccccZcknef7CBSHja3tLlIczXIirKMorALwfwL0Anq+q6n2jOKs1+1cAvB3Au1VV/eko972f7a9PBYQQskPazWoGNX+y4ghu275644N49nMfhVB48CY/W8XxXM+1kv2u4xxEs95Eo9IAA0MgFEAgHOjMQGUWAy/w+zJoESURmcMZ1Eo1WKYFySchGAl2vRY81ztD209wGoqFXLO4wWjQ5d7bi+d5xCfjKCw6KwsiE5GuubiSLG06K5cQQnpRFOUfAfwN7DFAf6yqqnsHu8H3zwH4EICTAP5+lPve7yjAJYQQDyrk3RsqMQaUS62dCXA5DrF0rCuYCIQCm2b/aqUqvv+pW1A4lcPsow/jSVf8Tl9BcbVUdRy3VqohmowilozZpbX7fEmkIAibltwKkuA601j2yX0FfsFIEJZpoZQtgTH7wkIik4DPvzszYcOxMERRtLsog8EfdGavGWOYy1VRbeiYjAeR2EL5+1Y1my2UChWYpgmfX8ZEIkbNpwgBxn4O7lqKoggArgPwQgCvVFX1gxvc92wAR1RV/coAh5oFcB6AJoB77WTupt6lKMpb19y+TVXVFw5w7D2NAlxCCPGg6ZkwOK77M4PPJyCRGs3c3q0Ix8IQBMHOFjIL/oAfkURkwwdgSdcAACAASURBVMxpYTGPt13+BiweW+hs++Hnv4M3/NdbtxTkWpaF4lL32KByroxQNLRtJcnNWhOVYgWWaUH2y3YwPcbNhdodgfOn8p0O1L6AD8npZF+Z73ajrHA8DGYxcDy365lzf8jvuvZaNyxcf8s9+PXx1Tm4z7zwKJ563sGhj9moNzF/ctFxu1FvYmZ2yjUjbpom6uU6TMOEKIsIRUO7/roRsl28ugZ3QNcCuBT2mtg7N7nvMwFIAPoOcFVVPQFg0wYdiqKs/STwBlVVP9rvsfYbCnAJIcSDkqkgnv+is/DpT9zT2cZxwFWvPA8+387+6g6E7fLgrfrvt3/YEdwCwJ233I5vf/yrePpVl276eNMwe45VMjRjWwLc9bNltaaGVqOFzMHM0GtNd5MgCEjPpDtl5sNkGzmOAyd4+7X42s+OOYJbALj5pw9jJhXCmbOJofadW+5uuNZqaqhUaoium69rGiYWjy861kDXK3WkZ9IU5JK9h3l4DW6fmWVFUV4D4KUAHr+F4BYAHgfguwOcGdlGFOASQohHXXbFo3DwSAx3/XwRPM/hwotmcOajN58Xu9seuVvtsf2hLT1eEHpneQVpe9b+FrPdGWO9paNerQ/cKdhL9ksZ7f0n8q7b7ztZGDrA1Q3Ddbuhd28vLhe7Gny16i1US1VE4qMbGUWIZ3h1TFAfFEVJAvhnAF9UVfUXW7h/AMAlAL7Q4+tXA/hrAEXYpc7fHuHpkg1QgEsIIR722POn8Njzp3b7NPoSTcbct6fct6/HCzwiE84xL4C9FnS7mgaZ+tZny5LNWZbdqRmcveZ3p7KWvQJ5YQQBviSJaJndEzwkufujlN5yH4/Zazsh426PlCi/GEAYAKcoiqiqqutVrZW5tYdhB8MpAF1X1lbW5r4TAAcgCeDjiqLMqKo6/lcCxgAFuIQQTzEMA1+54WY8eI+KZDqBZ7/4UiQnvZ+1JKsu+9MX4J5b73KUGYfjETz1Jb+35X3EUjEIkoB6pQ4we81lP3NM+yXKomvwsddGEJmGCcuyIEpiJ+i0LAuWYUEQhZGUY2tNDdn5bOfigCiJSM2kdqSj8fmnpzGfc85K5jkOjzmaGnrfydSEYw0uAPj9PoRd5vfyIg+4TLPcqDqBELLrnrXy3+cC0BRF6RW1c3C2OuxevwCcvXK/tmnYwfDysCdJNre3/nITQsaaYRi4+so34tZv/LCz7YbrPoUP3nQtZg4f2MUzI/147FN/E2/42Fvx2Xd9HMWlPGbOPISXvv1VSM1ObnkfHMchEo9sezmn3tKhtTQEw0GUtJJjZKI/5O9r7bGXWZaF/Kk8GtUGADtLnphKQGtqKOfKAOzXfGJyAqHY4CXZlmU5glvALuHNzmcxdXhq2zO5F587i2pDx/d/eRIWA/yyiBf89hmYTQ//PgoE/Zg9NI1SsQzTtODzyYgnoq7PKToRxXLd+TmW5/mhXltCPG1vdFE+b83/cwC2ekXKbW3Er2D/RWn/glgAkHW534YURVlfwrX1P6T7GAW4hBDPuOmGrzqCWwBYPpXFe97yXrzrY/+yS2dFBnH+JY/H+Zc8frdPA4A9NmbxZ7eh9PCDkAJBTF/02wgk0yjnyyhlS537CaIAf9APxhhkv4xwPLxnGgIVl4qd4BYALNMORNcG9Iwx5BfzECT7dRiE3tJdy7oNzYCp292EtxPPcbj0CafhaecfQr2pIxryQRxhJ2yfX8bk1ObZYH/Ij/RMGqVcCaZhQvJJiKfje64igBAAe6LJ1ErZcXrAo3RlcFVV/ZWiKH8Jew1uCcD/2kp5sqIorwPwujWb1pew/dNKI6z2vmhMkAv6TUsI8YwHf/1gj+3uTYu24rs/Pomvf/8R1BsGDs9GceVzHo1UYm9k5cjmGGO452PXYu773+psO/b1G3HeX/w9aprz4rxpmLBMC6mZ4ctZvYQxZpd6d33B/f71Sn3gANcr/LII/zYH05ueQ49RRoTsRb06348LVVUtjDguUlX13QDe3edj/g3Av43yPPYjCnAJIZ6RSLt3OU2kJwba33duO4mPff7Xndu/vDeLfzl1O976509EKLj96wFHydAN5Bfz0BoaOH6lfHeTebQEyN1zlyO4BQCjUcf87T9B7DEXdd2/2Wju1KntKNYrmnW/88BknwxRErs6C0s+ads6YBNCPMDyaAaX7EsU4BJCdsX8/cfxybdci/n7HkE0PYFLX/8HuPzFl+GGaz+F5VOry1Q4jsPL/+JlAx3ja9871rUtX2zi9l8u4ilPmB301HecZVpYOrnU6fTLTIZSrgQGhlgyhkqpgv/6f5/AcfU4pman8JJX/QEmp2mZDgBU5467bm9ml+DW05nnustZDd1AtVjtlJqG4+GxGrvDcRwCoYCjRHkjw2QdOZ5DaiaF7HwWhmYHuZJPQupAii7GEEII2REU4BJCdlxhPot3XvFXqK2MgSkvF/GBV/4z/uTDb8aHbr4W73nLe/Hgr1Uk0gm87PV/hCdf8qSBjlOpuY/kqNbHa1RHo9ZwHWNTLVTBCRyueuYrcezBRzrbv/Lpr+JjX/sQpmfHa7zQIJr1JrSmBp7nEYgEurrUytG46+NaiyfA8zysdVmH9U2AdE3H0vGl1ftVgEa1gcnZyZF0HN4pE5kJmIYJrWm39uU4DhOZCTRrTUf5ciQRGbqxliRLmDo8BUM3wIGDIAkU3BKyp3l4De4wJSlkbFGASwjZcbd+8hud4Hatr13zObzpi+/AO/9rNA2lDs9Eca/a3dzw8IHt7cw7auuDsLXbr3//Jx3BLQDklnJ4/79ch39439/uxOntmsJSAdXi6kiYcr6MydlJRyOjyfMvRGh6BrWFOcdjD//uM5CeTSN3KmdnGjkgEo8gmnSOIiouF7tef62poVqqIjIxPu8jQRAweXASWksDs5hdMiwICEaCiCQinQZQoxrlw3HcjowFIoR4AIN3uyh79LTI9qIAlxCy46r5sut2t6B3GH94xaPxjg/cjlJldSDlUy+axdlnjtdcXdkv99x+/KETrl97RHUvzd0rmrWmI7gF7CZRhaUC0rOrjTBFnx8XvOHvcd8N/4nyMRViIIhDT3smDlz02wCA6SPTsCwLHMc5soyMMRia4TobF0Cn/NbLGtUGapWaPUc46EcoFoLP73Pch+M4yD4Z8PXYCSGEbMG4N5kiewsFuISQHXfoXMV9+zmnjfQ4U+kQ/uF1F+End55Cta7j6MEozn3U+K0F9Pl9iCajnXmlwOoc0+nZjOtjpvZ4eXK71Ha9VrPVtc0XjeExr3xtz32tX0/LLIbcqdyGa1a93jCpUqiguFzs3G5UG9A1HROTgzVsGxXGWKcBlSiJY/ezSAhxQyXKxFsowCWE7LgnPv+puPMbP8EvbvpRZ1v6yDSe//evQKPWQK1UA7MYfAHf0J2CI2EZT/utQ6M47V0VS8bgD/qhNe0uyoGwvd70xf/7hbjxU19FdnG1MVcwHMQrr375Lp7t9uN7zDbttb0fpVxp4+BWFLrW6nqJZVkoZotd26vFKsLx8K6VDuua7tp8imbDErIHWBRIEu+gvyqEkB3HCwJede1f4ec33oq5ex9BbHICj3/u74AByM6tBmrNehOtZmtkHVjrlToaNTtwCYaDQzfT2Q6MMdTLdbQaLXA8h1A01ClR9gV88AWctaTpqRSu//qHcc2/XLfSRTmDV7z+ZVAedXQ3Tn/HBCIBlPNlmIaz+VYkPvy62PZ7ZD1e4BEIBRBLxbqaWXmJZVg9kxaGZuxKgMsYQ3Yu6xgfpLfsgDdzKOP4+W41WiguF2HoBgRRQDwd37a5vK1my26yZdndo734O4EQQkh/KMAlhOwKnudxweUX44LLLwZgfwCef2i+637NWhOtRmvoD7jlfBmlbKlzu16uI5aKIZqIbvConcUYQ2GxgFq51tlWLVaROpDa8IN35sAk3vreN+/EKXqGIAhIz6ZRWCxAa9ldlCMTEYTj4aH3zcH9YkooFkI85d6V2Ut4kQc4uAa5u5Ut1Vpa12xcwA5yDX016NZaGpZOLnXO3TItLJ9cxuTBya6LO8OqV+rILeQ6t6ulKqKJKGIptwFShJBeGAOYR0uUaWnw/kQBLiHEExhjsEz3P5BuH4z7YRqmI7htK2VLCMVCjmyc0WqiunwSzLIQSk1DDu5cp1ytqTmC27bCUmHPZ5Ysy0K9UrdnzcoSAuHApll7SZYweXD0834DkQD0XHdzqWA4OPJjbQee5xFPxR1rcAE7QJd8u9TZeIsfMquFqut9q8XqSAPc9sWk9cr5MoLRIHWAJqRfFEkSD6EAlxDiCTzPQxAEmGb3vNdhs04bBcimbnYC3HphCer3vgijZZeo8oKIIxc9E7EDO1Puq2vuHXtNw4RlWV3NkPYKy7SwdGLJ8fz9If/IStMBwDR0LNz7c5QXTwIcEMscxPSjHwde6H5vRRNRmIaJWsm+2MBxHBJTCUc3a8uyoDU0MMYg+2UIordKliMTEQiigHqlDsYY/CE/wrHhs9uDkn32a7S+pFyURcfPd6+LXG6/F4bR/plyo2s6BbiE9IWaTBFvoQCXEOIZ8cm4o2QQAALhwNCZm42Cj/bXmGXh4R/e1AluAcAyDRy77as4+9I/gujb/gyqKLr/SuZ5fk93my1mi13BfbPWtGfNjmBNLWMMx+/4AarZhc62/IkHYWgtHD7/4q77cxyHRCaBWCoGy7AgSILj4oKu6VieW4apm537J6eTnsuyByNBBCPeyDpzPIfUgRSy89lOkCtKYtdFDMkvua6Bln3uo7IGtdEaai+vr+4HYwy1ag2BYGDPPCfiYZTBJR5CAS4hxDOCkSB4gUetvNpFORwPDx3ciZKIcDzcNTe1neUCAL1RhVbrns9rGTrqhWVEp7a/E7Mv6IMv6EOr7hx1E0vF9nSA22vWbK9RQP1q1cqO4LatvHgCWqMGOeDeEVkQhK7AgDGG3EKuE9yu3TZ9dNpzmVwvkf0ypo9MQ2tpAGcHrevf15GJCJr1JrTG6vde9smIJp1r5ZnFUC1Vobd0CKKAcDzc12vP8VzX6C3ArhzoNXfay0zTRCVfgaEbECURD9z7IP7+df8H88cX4A/48LLXvhT/++pX7OnfI2QXMftn0pM8elpke1GASwjxFH/Qvy0dU+PpOERJdHRRXjvqhXMpVW3je2RWR43j7CxXOVfudFEOx8KeycJtl16l12tH/pimieJyEa36anfpyMTWRkiZeu9A2dQ1oEeA68ayLNeAnDGGVrM1Nut0dwvHcxtWZPA8j8nZSdQrdRiaHawFI0Fw/Or3mVkMSyeXHBdAqqUqMocyfS1niCaiEATBvqDGGPxBP2LJnb+YZFkWistFNOtNcByHUCTU13g00zCxeHyxkxmfP7GAP/+jN6C5MhO62Wjhmn+5DqFwCFe++kXb9jwIIcQrKMAlhOwLHMchMhGBL+hDvVKHrulo1pqdslLJH0TswFGU5h92PM4fSyKUyOzYefI8j3ja+516R6mdtVuL47jOmlHGGLIns3bmb0UpWwJjDLHk5h1v/eEYeEGEZTrXYvOiBF+ovxLojYIOyo6NBsfZFzB6qZaqXdl9y7SDxNSBVF/HCcfDI+m8Paj2+KRWY7Vqo5QrwbKsLf8eqBQqjrXN37/l1k5wu9bnP/4lCnDJNqE1uMRb9mbHEkLIrjN0A7mFHBaPLyI77wxOBsUshnK+jNxCDoWlQs+mTL00ag0sHl9EJV9BtVhFdj7r6DR7+AnPQPzgGcDKmJhwegbKxZeD46nsdDu1G0pJsgSe5yH7ZaQPpjuNfpr1puv7p5KvgG1h3ZcgyZg994nguNU/eRzP4+BjLnJtMrURnudd19oKojDyMTbEXa+fe0Mbrtv6btCamiO4basUKj2bYK23/nm3XIJbAGg2mq7bCRkJe1aQ9/6RfYkyuISQkTN0A4vHFx0dUZu1JiYPTQ7cLIYxhuW5ZceHwVq5hsmDW9tnZyzIur93lUIFwWjQ7vIq+XD0omfCerwJMLZjpcnEbibWq0lTr866jDEwi4ETNs+cxqYOwReOddbiRtIH4AsNNgM5kUkgjzwaVbvcXZIlJA8k92yXa6/ptdZ2HNc/b9QdmllsS2kIQXI+73POPxuf/tjnu+53wZMe1/f5EbJVW7nYSMhOoU9vhJCBWZYFy7QgiIKjPLNarHYFJYwxVPIVJKeTAx2rVq51ZTqYxVBcLmJydvNZqMxiXSNK2vSW7giS+QE6juotHVpLA8/z8Af9jjWDvWgtDaXlEgzdgCAJiCVjlAV00Wt2qyAJjnW6m/GHY/CHNy9p3gwv8EgdSMGyLDDG9nyXa68Jx8Kuv2PWN6IaB7LsfnGOF/gtv7cjExHUK/XO6/G4J5yHF73i9/HfH/pU5z7n/ubZuPrtrxv+hAlxwwBsseJgx1HcvS9RgEsI6RtjDKVsCZVCBYBdtpmYSnQycL3mzhrG4CWEvcoPt1qWyPEcOI5zvco8bOannC+jlC05jhWMBBFNRHs2vdE1HUvHlzrnY+gGlhpLyBzMjGUXV8BudtOsNcHA4A/4Icqj+RPT7qK7tuMtx3FIZga7WDIqlLHdGLMYSrlSp3lSMBIcSVd0QRSQOZRBKVuCrukQBAHRZHQsLw6JsohYKub4/QEOSEwltvw6iZKIzKEMyrly52LZX7zttbjiDy/HA/c8iInUBC588gWQhpwnTkhvXi4H9up5ke1Ev+0IIX2rFCqd4BawM7nZ+SwyhzOQfTIkWUID3bMsJck9E7cVw5YlchyHaCKKUq7k2O4L+Ib6YNxqtJwfTmF/sK+VamhUG8gczLgGetVCtTvYZvZrO2iWe1R0TUdxuQi9pYMXeEQT0U07ObcaLSzPLa+OiuCA5FRyZB2gY8kYfH6f3V16JVgaVQA9KvfftYQvf+wulPINzByN4wWvehwS6a13aN5LGGPILmTRrK2u+9SaGizTQiw1fBZdlMRd/zlpY4wNFbRHE1HIftkeD8bZHd57VS30IkoiElMJx7Yzzz4DZ559xsDnRQgh48pbnw4IIWOhXq67bm9UGpB9sl0yV607squCKAxVQhiKhVAtVbsytv18WI4kIuAFHtVSdXUsyJAzZt0axLRZpoVi1r2za6+1d73KqHeKaZhYOrHUKXc0DRO5hRwA9AxW23NgHXMQGZA/lYcv6OuaJTsof8gPf2jwEVKWZYHjuG0pJ77vzkX8059/DZZpvwbH7s/j3jsW8bYPXoZIfPRjr7xOb+mO4LatnC/bP4d7IPtdLVbtjsemBVEWkcgkBr5Ytl3j0QjZMZ7N4JL9iAJcQkjfWI+Sn3ZGkhd4ZA5mUClWYGh2yVwkHhmqFJjneUwenLTLElt2WWIkEenrA+Wox4IwxjZtrNGrXLtnlrvPzM2o1co116ZOlUKlZ4Br6qZrYM4Yg97UIYR2t/lPs95EfjEPUzc7mfx+5oxuxec/fEcnuG3LLdbwnS8/gGf/4bkjO8642OhCjWVaYx/g1so1FJYKnduGZmD55DIyhzOd7t87jVn276N+1qUTMirUZIp4CQW4hJC++YN+VLVq9/Y12TVe4DedUdqoNdCoNMDAEAgFNi1nFQQBiUxiw/v0gzGGVr0F0zQh+aS+OjzrLR25hdymo4p6BfWRRASNWgN6a/XxoizueqOcXh2LN+r2ulFDra0029pOuqYjO5ftfPhizF4XyvH2XORRKWTdqxoK2dpQ+zV0o5MJ9QdHt655u/U6T47nxrLb8XrVYvfvP8YYauUa4qmdnWNtWRYKiwXUK/Z7UPJJSE4ndy3QJvsUBbjEQ8bjL+WYUxTlLAAxVVV/tMn9OABXAPi2qqqFje5LyG6KpWIwNAPNetOxrZ8Su0qh4phBWy/XoWv6pkHxqFimheW5ZWjN1fmq0WQUPr+EYjYPUzcgyjImJpOQ/c4ssWXZj91KOXE0sRqwMosBnJ1Jbmeka6UaDN2AKIkIRUO7nn3plUHeKPgXRAGBcKAzNmftY3a7YVa9XHfNLNRKtZEGuAcOx7BwvOyyffBgp1lrIju/GpxzHIfkdLLnOCUvkWSpqzEYYI9Y2gsdp3vNqHWU6e+QtcEtYF98Wz65jKkjU2OfKSdjgjEPd1GmwHs/ogB3A4qiHAXwYgCXAUgA8AHgAMwD+AqAj6uq+vAWdvUfAJ6iKMpXAdwA4EcATsBu7RYHcCaApwB4EYAGgG+M9pmsUhTlHACvBvA0AH4AAgAVwIdhPx+P/oYiXsLzPFIzKegtHaZhZz97dQt2Y5mWI7htK+fKCEVDfe1rUIXlgiO4bR+fWTraXRdNo4HF43OYOnLQkQ1p1Vs9g9tAOABTNyGIAiLJCHx+HxrVBgpLBZiGCV7gEU/H7WCW50caZI1CMBJEo9pwBKuCKCCe3jhQS0wlUFwqol6xA0p/yL/rwYxpmqiW3TOooy6ne+GfXID7f7mESnF1TfYZ507iKZcN1uTHsix7XfOa82w3bkpOJxEIBQZ+bZnFUC1V7VJ/UUAotj0/c7FkDLJPti+EcfZ7y7fuYlGj1kApW4KpmxBlEfF0fCy6IfsCPtcO7jt9QYdZzBHctpmGiVa9NRYXQwghZNQowHWhKEoAwN8BeC2AawBcparq/Stf8wF4DoC3Afg7RVH+D4B/VFV1o1QOv/LvWSv/evkZgGeqqlrZ4D4DURRFAPC3AK4G8A8ALlJVtbjytfMAXA/gBYqiPFdV1cFnuZB9g+O4gT/MbTQuqJ3N3G6teo/mUBwPsNUfZ2YxVAslTGRWG0VtFBwlphKOrEmr0UJ2Ptu5bZkW8qfy4Hnekx8+21nCeqXeCYCC0eCmjaLao6ImMhOd/ey23Kk8DMMED/uSxdozGnUQlZmN4u0feja+9cX7UMw1MHs0jt/9n4+GJA9WjmvohnuWkAG5+RxC0RAmMhN9v87MYlg6ueS4uFMtVXt2+x5WIBzo+T5v1pvIzq3+bGhNzV7Heiiz62vRNxNPxaE1NccSg1A0NLKu4Vu10e8iWhNJdhK934iXUIC7zkpweyOAJ8IONr+39uuqqrYAfEpRlJsAfBl2sDgJ4E+HOKwO4D0A3qKq6sYL+gawUvp8HYArAfyuqqo/WPt1VVXvUBTlQwD+FXZQ/6+jPgdC1tpoDd5OBLfABmtDXf5Ir11/yhiDablfz5L9cldJYK3knkGslWqeDHABOzgNRQcbb+OFwBawA7nGytrV9cGtIImbZqQHkZgM4fmvfNxI9rVZaWmtXIMv6Ov7+1QtVbsqFzbq9r2dqgX3dazVYrVzocSr2o30GrWGvYZfluAL+Hb8/c8LPCSf5Ai0AQDczmeTyT5HAS7xEApwu30EwO8CePP64HYtVVWriqL8PoD7AbxGUZQbVVX96gb7/QDssuSnA0jB/sw1B+AHAD6mqurxUT0BF28G8DIA/7Q+uAUARVEeD+CvVm5eBgpwSQ+M2dnMk7/4NUqPLEAv13Du8y5B/OBUX/tpd0Cu5J3FCttVKukmFA11za+1dWfNZN9qtq+4XHRtMCNKIpJTq3M5taaGRq3RFUx0jsJoNcB2WtvpmwGOvt8Tyeiur3XejCAK8If8rqN22lqNVt8BrltZLYBNm6Vth17rWHtt9xqO53Y8Y+smOZ3E8sk1PQFWZlDv1O9SQgBQgEs8hX77raEoygUA/mDl5ic2u7+qqsuKonwEwOthZz43CnBPqar6jwD+cegT7YOiKGcAeAuAJoB3uHw9AOBm2GuMAWBnOvyQscMYw9LxebQaTYRmJhGamUTx4TnccNWb8bz3/x1SZx7ua3+xZAyiKKJerQPMLmUc1fierYhMRMAshnKhDLDVdabF5SyMNR/2fQE/IhP2j0Wr3nINbgVJQOZwppN1q5VqyC/mNzz++rWIZLR4noc/6Hc0QgPsoCQwxLxRxuw1j41qw15XGg66Bjm6pkNv6eAFfqDMXrtUvLBU6Dl3epAGQr2qJ3ajs7Hkk1znSHu9PNlrJFnC1JEptOotWJYFySdRB2WysxiAXWiwtiUePS2yvSjAdXr2mv+f3+Jjfrzy398c8bmMyjthN8f6QnvN7ToygLWfzv5zR86KjJ1KoYRWownGWOfDevzoDM647GJ8950fwfOue2tf+xv1TNp+cRyHWCqGaDIKZjFwPAeO4+APzqJWrsDQDUiyhFBsdV6qprlnY9vzVQG7uctmwa0/6Hd0VybDaekm7nx4CeV6C8lIAOceSUMUeKSmEliez6K1kkXnBR7p6eRQwVw5V0Y5v9oZuFFpwNAMx3incr7sqA7wBXxIHUj1nTXmeR7JqST8QT/yp5zvKY7jEIr1X0YeiodQLVW7mqTtxvsxloyh1Wg5ymt9QZ/nGq+NBWaXrbebw9GoILKTGDafCb9bGEW4+xIFuE5r6yxnAGylQ3L7k47n/iIripIBcOnKTddya1VVS4qiPAN246wfq6r66Z06PzJetKadaVmfiYqfNgv1pq7K97HBcRw4YfU5McZg6BYM3QJgwjTMTqlfr0ZLvMB3XpeutXBrCKI9x9cX3Pm1entVvaXjI9/8JZZLq1nOOx5exB8+9RyIooDMwUnomgHGLEiyNNTYFNMwHcFtWylXQigegiAIaNabXaXvrUYLxWxx4BnOoWgIjDGUs2WYpt1tOJFJDBS8CIKAyYOTKGVL0DUdgiDY47F2oXMxL9ijsuqVeufnLBgJ0s/GAPKLeUfnc72lY3luGVOHaVQQIWT/oQDXaWHN/78UdgOpzcys/Pee0Z/O0F6E1e/xHb3upKrq9wF8f0fOiIwtvkdwp1VqiGSSrl8bN6ZhYvH4oiO7Va/UkTmUgSiJ8If8kGSpa73i2uxXtdRdwrx2/7vRiGYtxhg+9r5P4uPX3IBKsYqzzn803vLeN+LIGYd27ZyG8e27jjuCWwB4ZKmM2+6bx5PPmrW7fY+o5NXQe3f/NnWzE+C66bV9q8KxMMKxsKOCYlCiJCI5Yf0xBQAAIABJREFU7Y2fWZ7nEY7tThXHqDDGOtlTxhiC4SBCsdCO/ZxbptU1gxqw35NaQ4M/NHhJPiFb5tEMLtmfKMB1+uWa//8bRVGOqaq6Wcnu/1j57zWb7VxRFBl24HwFgIMr/zQADwD4OoAPqKq62PdZ9/Z7a/7/oRHul+xDkXgU1WLZ8UeMWRYevPkHuPhPX7LhY9vrFusVe72tP+xHOBb2XKamnC93lW5apoWFEznkysDkZAiZg2kUl4poNVv2h/N4uNPox9AN1w+abaZp4d1/8km86C+fjhklva3PpZfr/+OT+Pe3rv66uuO2u/Dqy/8cn/zBRxBPjrazsGVa0FoaeN7u9Drs91tvNDD3o9vRKleQPFNB6qxH4VTRvUv1qYL79mFs1LSnXfbc6zlu9twZY2jWmvbrJfAIRtxHMw3yGjLGHGX4O8GuhDDAGIMkSb27lo85xhiy81lHM7BWvdUZvdTreZuGaTeg4+wS9mGyrDQqiHgCvdeIh1CA6/QlACcBzMJem/pRRVH+F+x1rDetnw+7Mj/2cgA3APjwJvs+C3aW9GMAfl9V1drKPp4Iu2vxPwB4k6Ior1dV9doRPZ+164KXV473O7AbYj0WgARABfAVANeqqtpde0fICsknI3PoAHJzi2jV6mjkyzj1k7vxlNdfhYMXnrPhY8v5Msq51bdXs96EoRmYmPTWKJBeGboH78/hPz9pXyN62tOO4Morz+4EDWvLk9cHx+v97JYHcNvN9+CXP3wI77jxT5A5tPPP/4brPte1LbuYwy1f/i6e90fPGdlxGtUGcgu5zgds2S8jdSA18PrX+nIO37z6b1GZWy20Ofslz0fo9PNd7x/yj37toSAKiExEUCk4u39HE9HO8wpGgnYZ87rPeht1O2aMobBUcIyUquQrmDw4OXQn3Ga9ifypvP3e5OzmarFkbFsDXdMwkVvIdRpICaKA5HRyV8qgt1uj2nDtdK23dJQLZcSS3X0bm7UmsgtZsJWmPIIoIDWTguwbbKwPL/CulSXDzConpC8Mnfez53j0tMj2ooUZa6zMoH01gLWfcp8M4IsATiqK8i5FUc4BAEVRHgPgs7DH/7xYVdXNfoReAODvVFX9j3Zwu3LM22CPJboDdrOnDyiK8vphn4uiKAdhjyNqayqK8j4A18MOss8G8CgAXwDwzwB+vRKwE9KTL+DHgdMP4+hjfwNnPfUJ+N03vaIruDVMC1//1jFc+9G78InP/Brz8xVHcNtWLVY3LPncDb2CiXxxtdPrLbccw9duuh9zD85h/qF5zD8038nainLvYOTO7z2Ez77vVgBArdTEVz78w677NIrLOPnTb+L4j25G8fj9wzyVnio9Sqir5dFlPA3dcAS3gD02abPmWxv5yXs/4AhuAeBXH/8MHiU0wa8L1mSRx4VnTA98rI3EUjFMZCbgD/nhD/mRyCQcDaYkWUL6QNrRUCoyEdmwcVKz1uyal2waJgqLhaHO1dAMZOeyqxdemB04rw/QRy1/Ku/ojmwaJrLzWcc86b1iozX3biPCLNNyBLfAygWB+dzA2VaO45A84Gye1u7CvRvdsck+xZg3/5F9iTK466iq+pWV+bbvBzC55ksZAFcDuFpRlDsAKAD+QFXVm7e462+oqvq1HsdsKoryV1gdM/QORVG+o6rqLwZ7FgCA9Qvq3gbgDwE8UVXVe9dsf+9KM6q/BnCLoihPUFX1wa0e5O6774aiKAOfpKqqAz+WeI9pWvi3a36GX/0619n23VtP4GXPPYKZTKDr/oZueGpWY2QignqlDstcncNZren43g+XHPe7664lnH3GEQArH1jns8gcykD2yyujhpwNy7/w/h/hu5/9pWPb0skCTMPsfAAtz6m478aPwjLsD8wLP/8uZi54GmafcMlIn+O5F5yF2779067t5/zmWSM7RrPedP2w3qw5u3D3I3vPfa7bpWMqrnzaJfjWnY+gtNJF+X887ihS0e732yAskyGXrUMQeUwk/Hb375X1sL34Q34cOO0ALNNyZPh76TUrWWu5b9+qerXu+n2olWoj75pcrWjILdcQn+gezQSslKs3NATCo/m+eMVGnbHdvqa1NNdMl6EbjoZ2/eqMCmq0wBiDz++j4HaMDfO5KhKJQBR3+u+ql4NJr54X2U7e+WTpIaqqfl5RlG/BznZe5nKXdqbzs4qifBDAW1VV3Sg10QLw3U0O+w0AWdhZVxH27Nrn9XXiTusX070ZwF+vC27b3gPgjbBn4f4r7LJrQvr201+ccgS3AKBpFm767gJe+fundd1/J4Lb9trGdjDtD/l7BhyiJCJzKGOvxdVN3HNvHp/70jGUys4sjSB0P75eqUP2y4hMRCDJUmdO6rduuKMruAWAxGQIC8cWkJ5JQ/bLUG/5dCe4bZu7/RYkTv//2TvzOEfqMv9/6koqSeU++5ieIwPMwTkMh6AiiigigniMigc/r1W81r10XXV3Xfdw97cqq8L+VhEPPHARFRBQRBFFEDmUczgyzNHTR+47qfv3R3XSXamqdNKddGeYer9evJh8u1KpVCqV7+f7PM/nOQHucMLw/JXyiS/8Fd73mo9g5uBce+ydf/k2nHr24BI4LAXdKrJiGbcLfMmYCcC43diSCGBLYrD1wwBw+FAZX/q3ezF7WIt6bzs+ig/81enwBZY37SEIomeBYSWSVut+a5UyOOi6zFtvfAr/e91jUGQVTpbEp/7pNPPXfR5ONN0+LSV96aJYC87PQRIlECQBiqIgyzIqeevo+WrTxkmShMujX0AQGzU0S1k43D44faNVEmJjY2MzLGyBa0IymdwOLYLrh5aiHIcW/XwVtNrcFi4AHwLwumQyeWEqlbJyKv4bAIe6vWYqlVKSyeQfAFywMPTqZDLpSqVS1o413emc7YmwMMJKpVKZZDJ5P4AXALgomUxuT6VST/byIscffzyuu+66FR6izfONuXnzNNd8yZjG5w15hy5wVUVFZiYDvr6YLsm6WUQmIl1Fbqudi2tGNIhbADhpp3GiuHTy3kpfBYDz3nwa7rz+YaQPLaabjm0O4dw3nAhVUZGbyyE6FoRQMWtTDdSzswMVuONTY/ju3V/HXbf+FuVCGTtO2Y6Tzzyh5+crioJ6uQ5J0hYMPD6jWyzrZkGQhEFgubmVt4A59uIL8NB/f0M35vT7MHXOWSva33LwvITPf+YeZDOLDs17H8vg6s/fj4995sUDfS23z41itmgINKiKuirXZKfbCZgsvTrdg6uFffC+w7j+m4sLOHxTwb5nS9iyVV97SpDE0Gpw67yIUq0Jr8sJzrW2NacURSE+FUduNteOxFM0BV/Ih9xcDrKopWVn03lABSIWraJYNzvwiOv8Y/fh4L23AaomvsPHnoLNL74YBGlHdked1WS3vfWtb8XevWaxjOFiG5rZjBK2wO0gmUy+FFrN7UEAZ6VSqVZDwxuTyWQYwB4A7wBw+pKnjQO4PZlM7kylUvrwFYBUKvWnHl9+qdOxA8AuAPf0+RZadOaIPbjkvZjxEDSBC2guzz0JXBubpYSC5umH4ZALkfEI6pU6VKhweVxwe91DP55yoawTt4CWPlspVHpK0Tz99HHk803ccMNeSJICh4PERa/ahOOOMdZTsm7zqJ4/wuFzt7wPt3ztHhx+No3IhA8vfM1OOF2aCZIsyiBIGiTNGCK4AMC4B99ChfNxePWbXrn8hh0osoL0obTOzKZWriE2EdO5xVI0heh4FNnZbDuyxXrYVZmKbXv9a6BIMp684ScQylWEjtmCM/7qg3CFet+nLMmQRAkUTS27uPLs3rxO3LZ44pEMyiUePv8AxZoK0yw6WdacdlcqDFk3C3/Er+vL62AdCEYHF8l74N7DhrEffDeF935gJ0Jh7bhJikRkLGLZR3pVr//sDH792AEoC5PrXVsSeOmJm00XBVRVRaVQAV/nQRAEPH7PQFKmKYpCMB4ESZKgaAqKomBu/1z72p89OI+fXHcb3veJy02fz3pYhBIr65FsRfnwPhz83U91Y7mnH4bTG8TEqecO9LVsbKACsE2mbEYIW+AuIZlMjkEzjuIAvLtTEC6I16sAXJVMJs8D8F8Ati/8OQ7gIwA+vYpD6Mxdiq9iX51C27IP7gIHlvzbNpsacVRVhSRIUBQFjIPpWge2lpyxewy/uOsADh1evJQJArj0omPh4lxrXn8nNCxqGy3GzXjlK7fgpS/diGKxiUCABU0TyM3kdHWGvrDPkBq4FG/Ajdde8SJkpjOmfydpCmO7zsHh+3+hG+cSU/COG1O714tSrmRwahUagrZgENYvGDjdToxvGddSNAli1dF6giCw882XYuebL4WqKCD6TN8t58oo5RZv6VyAQyAasIyOKoox5bT9twXhoqoqaqVa22TMxblW1P90mG1efCHt2hR5ESRFwukebB9ms8OrVkTc8bNZfPhvz4CqqGCczKrTrc3YN1fArx7drxt7aN8c/B4Wu7eOdxynitxsTtfGq1FrIBgPrqoPb7PeRG42t7iQ42bh4ly6lOWffOc2uLvc+6ITg28ZVjxgHsErHthrC1yboWAHcG1GCVvg6rkCWmrvdCqVurfbhqlU6hcLLX5ux2Lk8+UwEbjJZNIL4FwA9VQq9YvOvy+hc0a1mu7snYlphshyB0uL2waXD2kzcBRZQW52UWARBIFQIrQmEdHlcDoofOzPT8eNNz+DA4fK4DwMzn/pJuw4Lrwux2PVg5IwqaHthsNBIRZbbPMSmYhAaAqQZRmMgwHjWL4ljdPlBONkDK6rHr8HJEliYvfLQDtYpJ/4AxRJhG9iC6bOfjXIIUS9VoqVY6yVGRJBED2dm37pV9zWK3WduAU0F2+aoS3djbccE4KHY1Cr6t/zxi0B+IParbmULekciZt1rdY7EO1eDyyJEmqlGhRZgYN1wOV1gWKodjprC4IkwDhXf/4YJzOQ/ZhxyuljuPfXB03Gx1fc9qZXnpkx/1l7djZvELhCQzDtUV3KlEzT7Huh5Q69NBW/WW8aFkfy6QJyqvaT3JlyPqzPBSPWY9zmKMBWuDYjhC1w9bxk4f9GRxgTUqlUOZlMfhhAy5I00rlNMpncCuBOLLgaJ5PJL6VSqQ9b7LKzUWK2l+Ow4DkAMoDW7LifWt6V1v3arAGFTEEXPWxFJhhnb0Jr2HjcDN62Z3COvKuBC3Cmk9rVRGwATbj1mzZKEASiE1Hk5/Na2jSh9UZtiSGCIJA46YVInPTCZfelKArKOS39miC1VMtufVYHhaUZ0ohkEFhhdg0AWgTPSuBSpIJ3XXEirrnqkbbITYxz+MBfnwGCICBLsmm7nUqhAm/Qa1lPKTQFpKfTi6KoBLjqLoQTYWRnFlO6221eRmiBw4wzXrgBs9MV/Pj7T7Tnt+dftBUvvaD3zINGtYFqqQpVUeF0OeEL+SwXp1aKJJm3JFMUBaqi9r3oBSy4gpukZQpNQTNUW/jT+MYx/PT7P8evb/0dznnVYs24KEiITcUMzx8EwU3bMf+osRVZcPNo3JttnofYAtdmhLAFrp5WSnA/zRofBFCDJk7NXGL+HfqWPe8AYCVwxzse9yS0zUilUpVkMvkQgJad5XK5oUvToY3L8TYjg9VkvVlrjoTAHSVYN4vIeATFTLHtohyIBYZmdrMcFE31lY4oNEU8/cfnIEsytp60CR6vC6qqIns4q+szyjd4KLLStdfqIPAGvYbrjyAIeAPDfd1V06d2KefLKGVLiEUofPRvTsTsTB2heADbjk+AZjQx362HsyRJlgK3kC4YRFGj0oDH68HYpjE0G01A1SL+R0qbl0vetAMvOX8z0vM1hCNuhKO9Z5PUSjVdf2S+wUNoCl2N4FocMx7GIwfShvGtY8Z6VqsUeZIiVyymu7lCkxQJRdIWKy69/EI8dM+f8OXPfA1/uv8xHLNzCyiawqXvvAhO1ngvUmQFoqCllK/0nu4d24RNL74EB+65GepC/+Ho9tMwdtKLVrQ/GxsbmyMJW+Dqac3ces6rSqVSajKZLEMTuI+YbHJ2x2OjI8ci25b8++FUKjXb63FYcBcWBe7YMtsuFbi/WuXr2gwRAsTzst3GsGjV/q7GjXY9mE7N4VNv+iJm92sTeF+Iw6e/+UFsPWFKJ25blHIlcAFuqO/R6XIiOhlFKVuCJEpgHAwC0cDw0iwHhJtzo142Gka5OaMQEwVRZ8rEshQ2b/GCogGKXjy33WqKu/Wg7KxhXjru4lymx3QkEAi5EAj1V2OvqqrmHt1Bs94EX+fbTuRWbEkEce4JmwwmU6cmjT93DtYBt9eNekV/HQRjwRV/Z1i31nLMrE66JW4BYOqYDfjGXVfhhq/+BIcPzIJiaLzhvZfAF/C2n9s6hlq5hsJ8oT3u4lwIJUIrqmGObjsVwS07wZfzcLi9YNwjvhBlc+SiqqProjyqx2UzVGyBq+dhACcC2NzrE5LJJAugFZK50WSTpbOV56BFcM32EwKwc8nQl7u85ucBvBOaMdTbUqmUmbAGgOsB/PXCv7dbbNOi5QrdBHDLMtvarCMurwu1kr4dD0EQXU2ObFbfY3ItURQFn33nVW1xCwDlfBWfeceX8eU7zX3sVttSpldYNwt2ajX2AGuPi3MhEA2gmFkUU96gFx6/Ma3bqs5YlmQostKOqlI0BX/Yb6jt9Uf8XSOvFEVBUozR335TkSVRQimrmX5RNAVf2GcaDRxpVJj2jwW6R8iXsnvrOHZsiC7bJqjlVeBwORZT+30eS/fzXqAZGuGxMHJzOcuew4CWCh+bjOFdf/O29pjAC5g7MKeZf5EkuCAH1s0iP6dPIGtUGyhlS10dyBVFQSlbAt/gtX0FuLYnA+1gQUc6k8NsbIbAqLoo2xyV2AJXzzegCdBdyWRyQyqV6tq7doFLoJ3HBwHcavL3J6CJx/sAvCyVShnDCBpvBNBaor0bwDfNNkomk68C8NGFhycC+B8AZ5ptm0qlHkwmk3dAM7/alUwmuVQqVTXZ5ziAUxceXplKpcqd29iMDoFoAIqstFNFCVKr1aMd9td5LWhUG+AbWpsRt889lLTw3GwR+5+YNoyX81Uc2HsYiSljCiZFU0eUiF9rvEEvPD5Pu02QlQjtVk/cGUXzhX2gHbTORbmb2ZuqajWmneKNdtBweXtfoJIlGfMH59viUORFNOtNxDfE4WDXtg/saiBIAhRNQZZkw9/6uZ+5nQzcPWQRtNLpB5lS7+JcGN88DlEQUSlUTEtIOt+fLMnITGfan1+7pt4kMwPQ7jlWAldVVWSmM+0evMBCyYKirNprwMamH+xAqc0oMdrOIGtMKpW6C8BXoZ2XK5PJZNfzk0wmfQD+FUAJwJ5UKmX29f5/C/+fthK3yWTSCeAvFh5mALwllUoZf/E1ju94fEK3YwTwIQBVAE4Ab7bY5jJoVWqHAPzzMvuzWWdIkkRkPIKxzWOIb4xjfMu4Hb1dI4qZIrIzWVQKFZTzZcztn0MxWxx4ala3CCDrZk0jj8G4MdVSlmXUK3XUyrWeI2LPZ0iKhIN1dD2/TpfTVCR6g17TWk23143wWBjhsfCyTublfBm1sj77gmZoxCZjfaWgVooVY+RT1VohDRtJkFAtVVEr10yFab+YCTe3171udfIrgaRIOF1Oy2PuXASrV+umkeulIrVXGrWG6fPKWXud2maNUdXR/M/mqMQWuEbeD+DbAF4L4IfJZNK0ZU4ymdwMrcYVAF6RSqVSFvu7Flqq8CuSyeS2zj8mk0kamqg+BloN75mpVKpbne5jHY+7GlGlUqmnALwJAA/gM8lkcmPH6+8E8HcAZqFFmI22oDbriqqq4Js8GtUGJGFRpNAMDYfTMZT+kjZGhKZg7pqbr6CSH+zXJhjz4cSzDbcLJDZGcNyuLQjGggglQvD4PeACHOJTccMih9AUMLd/DrnZHPJzecztn7M0KHu+IkoyDmYKeG4+h2rTPDrWScvt2uPzgKIp0AwNf9gPf8S/qmNpRek6kUSpa89dM6yE5SAEZzfqlTpm98+iMF/QrqkDcysSZUtxcS7ENsTg8Xvg9roRiAUQSoQG26tXUVEtVVHMFFEtVvs6360+t9mZLKrFatfFLM7PGRZHSIo0XDtW6cxW++4W3be8FmR5dGsibZ5/qFh/IWv533qfHJv1wM5p7GAhcvr2ZDJ5A4B/ALA/mUzeAuD30CK1cQC7oLUU+haAT6dSqZL53tomVJcB+HMAtyaTyV9AE6VNAJPQoqoxAP8G4J+6pDC39ndrMpn8AhZrcN/bw3v6aTKZPBvAfwN4MJlMXgOtHnjbwn7uB/CeVCr13HL7sllbFGWh521tsS2QP+yHL+yzfI6qqvjDDb/E43f8AQRB4KQLz8Ipr7GdM1eLVW0msGDwFOQGtthAEAQ+8dX34Z/ffTUe/d1TAICN2ybwya9fAQerRYM8PuvWQKqqIjub1UWJWu2kxraMraj1DN/kUclVIEsyaKcm+roZLa03pVoDP3/4KVQXBBhFEnjxziQ2xY3p3Z2QFIlQYvnt+qGb+JRFua9Ud6ttaefwPg9ZkpGb0/edVWQF2dksxjaNrUqQdot+rhZFUQwpvNVSVYuaL9Peqlau6WpiDzx9EN+/5oeYOTSH2HgU7/nry7HjlMWFKIIkEJuMoVqqQuS12miP32P4nljVSrNuFh6fB/m5fFucur1uBMLWfZUtrwWGXveSBb5UxJPfuQbFZ54E5WQx8aKXYfMFF/fdx9rGxsamX0Z3drLOpFKpmwDctBCpPQNaC58ItBTiLwJ4UyqV6ikksCCa/zOZTF4J4MXQorVRaO2IrgDw21Qq1eyyi879/QUWU5p7fc6DAE5LJpO7oNXshgHsBfCCVCr1eD/7slk7SrmSTty2xhiWsUxL/um/fRu/vHrR7+yR2+5F7uAczvvgG4Z6rOuFqqqoFquoV+pQVRUuzqX10VxmcieJEhRZAe2gexKmJN19G1mSQToGN3ELRH349x//DfLzRciSgsh40PI4VVWFoiggSbLdo1UWjYJKVVWITRGUpz+Byzd4pKfT7ZVwgRfA13nEp+Ij28rmrsdSbXELALKi4u7HU4j4PeDWwYyJoildb9Sl9Fs/zwU41Ct13aJLy/RqWAhNwfTYZVHWFj1GdLGjkq8YoswiL6KcL7d7UJuhqioK6UL7cS6dx8fe/fco5rX17KceeQa//9UDuOa2r2D7yce1tyNIYtl2XU63E76wzxDRVxUVrJvFeHIckiCBpMhlz6vT5YTb1+ESTmglC+uJLAh48AufRW1G8xIQa1WkfnI9FEnA1ov3rOux2QweFYDaXyLKmmEHcI9ORvMXaYRYiGoOJLKZSqUkAL9c+G9dSKVSDwF4aL1e36Y/+Jr5Gkqz1jQVuIWZjE7ctrj9P7+HF7z1lfCMer/SFdBKO2wh8iIkQUJ4LGy6vaqoyM/n2+1CCJJAKB5atn6SdbNgHIx5mxeie92sFbwgIF+qQlUV+DgPOLf+MyUIAuFE94lqvVJHYb4ARVFAkAQCkQBcnHVK40p6fpbzZcMsQZZkVEvVoYqqlSJIEvIVYzKMrKjIlmrrInBJkkQwGtSJJgDwhrx9i0OSJBHbEEO1WIUkaKZZXIAb6mJDt+tmUJkLqqKiUqxozsKU5ga8WhM3gTdPobYab6Eoii6V+NYbft4Wt0v38fXPfwv/8a3+rSu4AIdKoaJ7Db7BIz+fR2Q80rNZGEFo9y/WxYJvai7Kbp8bDuf6mo3lnnikLW6XcuCOW5G86A12FPf5iJ0SbzNC2ALXxmaUsZhTWkUnC4fSpuOKrKB4OPO8E7iyLOvEbYt6pQ5f2Gc6OS7mirpemKqipe7SDrrrpJAgCMQ2xJA+lDaI3GDUOrpqRblaw1PPHYLSnuBmsGkigXik98hLqz5w6XsppAsgKRKshzVE/xkH07fLrsALaNbNE0yGXfO5UkjC+rOglklL7RdVVcHXeYiCJspcnMvyWuACHCiG0q4/FWA97LILK1aQJAlfyLpUYdA4XU4wTsaQqu/2updN9e0FVVWROZzROQnXSjXENsRW5QxtlY6/XJo+SZIgSKItQPOZgul26Zms6bgkisjPTIOv10HRNPyxODz+xYgxX+dNa3Eb1QZURe1rIYogCHj8HlPzufVCrBnvywCgCDwUSQLlOHLcvm16YYT74Nox3KMSW+Da2IwwHp9H17uzhdWkOLghZjpOUiQCE1HTvx3JKJJ1TpQsmdc1NirmRkvNWnPZqAdJkYhvjKNeqWvikdA+i35drFVVxbMHZ5aIW439h+cQ8HFw9hi10qUlLqFWriGcCCM/n28bSzldzr7Ne1rtTKzmB4NOS+WbPJpVTUyzHLvivq40RWJLIox9HTWjnMuJxAAXeVRVRWG+oHNGph2aK7JVNNXlcR2Rruct8638XF5b8CAAj9eDQMw6zbcf6pW6oU2OqqooZoqIWdzXeoELcu3yhaUsl0ZMEFo2RCviPrnJvJfspmOnDGOKLGPmmacg8osLQ41qBdGpTfCFI9pAlzm3ChWE1ermEYJv42bTcc/4pC1un4+oGF0dOarHZTNUbIFrYzPCcAEOsiy3XXpJkkQwEbSMaATHozj3fa/Fr/77R7rxV3z0TSMZvVVVbdV3ueinJEoopAvt1MVWT1OK0Xq/mq0c953a2OOPIEEQXQ2eekGUJIgWbXtqjWbPAtdqxVxVVZCU1k5KXXCRXElqcqPWMG1nAgCMkwEXGFyfzU5Dn3K+rDlFr/A8n7V9EwgAqQWRG/a6cc7xSTADTONtVBuGtj+SIKGYKZqmyIuiDKHBQ+QFECQBj9czsv2r+QavvTdVqxl1e92gaArRyWj7uhukidFSh/ilmJYEmNBoiGg2Zfj9TpBLrnWH04HoZBSlbElL52YoBKKBnqLCXIADSZOol+p43Tsuxu/vfhDPPL7YMCE2FsEVf/cew/MqhbxO3LbITk+DYT1weVxwuByW967cF3NSAAAgAElEQVRB1/OvB97Jjdj62jfh2R99vz1Gezgc/38+sI5HZWNjc7Qwmr+sNjY2ABajCL6QD4qsgKKpZSeVr/7btyOWnMDjv1h0Ud518YvX6Ih7Q1EUFNKFdgTSwToQSoRMRaksy0gfSrfTYWVJbgshp8sJlmMNUVl/xN81glYtGdPnWA+7qvfUDxRpLbLoPhyOnS6nLt26BetafC8EQVimui+HVTsTAIht6K93azcUWUF+Pm8Yz8/n4fK4ekqBbQoS/vh0FtWGiA0xDsdtDOLFxydx9o7NkBUVjiHUp/IWrYc6TY3m0jV87TuP4rgNLM48cVH4VvIVRCejI9fztV6p61Lfa+UahKbQ7lk7DHdeq+8rTXefpvC8jGu/+Qjuu28GABCNunHF+07B5s2LkWWny9lXFLhZb7bbCTlZJ0JjIZAkia/ffhV+cM2PcOCZg4iPx/D6d12CcMzoti2L5vW9qiIjP5vH+JZxrc0b6zBErQGgUqgg1IPbtxWqqkJoCm0nZ9bDrouj8uYLLkHwmO0oPLMXlNOJ2K7TwQYG605uMzqMboqyzdGILXBtbI4ASJJsiwlZljX3X4s2EARB4Iw95+GMPeet9WH2zFJxC2iCIHM4g8TGhEE01ct101rPUq4ERVL0P6qEJmC7pR/6o35IkrRYn0oAoXhoVXV+ACDwMu67Zxr5XANj4xxOO3MCJGU+qaQoErFwEOmcvq6Pc7vg7SN91eP3QGgKuiiiy+OCNzSYaL2V8CIpEvVKHR6fZyATZ1EUzSPoqhbBW04AFis8vnj9H5EuLC50vGTXBN7w0q2gSBIDLrttYyXwl0bLG00J//eqB+BxEjjzxAmoqto+Z60U58Qm03br60LrmDqpFqvw+Dyr/p5Y4fa5US1WDRHb5foPf+e7j7fFLQBkMnX85xf+gH/57Ivh8/W/cNCoNpBdUlfL13nwDR7RyShcHhfe8eG3LLsPB2v+HSZIGoqiQBRFrRzC4qvTrfRiOVruz7XS4j3B4XIgOhFdl57pga3HIbD1uOU3tDnyGVEXZZujE1vg2tgcIaiKinw63xaGrV6dR1I9n6qqUGTFtHZUFmXwdd7gAGyVImvWBgeqNkHNz+UtXZRJUkvdbbUJYhzMqk1yajUB//b3v8XB/YsuqyecfBB//vEzQVu0F9o4EQdNkcgUSlBVFX7Og00Tib4EI0EQCMaD8AQ8kASpHRUaVLTGwToQiAYMdeCKrKAwX4DQFFYVaWrRzfCnF2fg6+98RiduAeCuhw5j+6YgTkhGVn18Vnh8HoMTLqCv73z0ySxyhSa2HG8e/RQFUSd6O6lXedz6jYcw/WwOwRiHV771ZMSnBlP3aoYiK1AU8++cJEhDE7gtZ+hSrqQrRei2uKEoKn5372HDeLUq4LHHMzjrBZN9H4eZ5wHf4NGoNno2BPMEgmA5L5rVypJRApRTuy5aQpNxMODrxggu41y5c3S9UteJWwAQGgJK2VI7Am9jMwzsCK7NKGELXBubI4RirqgThoqsIDeTQ3xjfNWtNIaNqqooZUuoFCvdzVXMamlXMNmrV+rwR/yWJkgEQfR1zmRJ1ox1FuoRO/d74/ef1IlbAHj0j/P45c/24fwLt5rukyQIbBiLYcPYyg10AO29OFnnig2ZlqMlMuYPzRs+u1qpBs7PrVr00AwNt9dtSLd2e909GVntny1bjFeGKnBpRjOUys/nIQoiKIqCL+TT1Q03ea22tFY3rzElKdJS3DbrAv7p7Tfg4NOLEcXf3rwX/3DdGzGRDEFVVTx451NIPToDLuDCC19zIvzhVTrpdlkboZjh9jwmKXJZEaaqKiqFCuqVOmRZtRbj0som25Jk/jlJFjXzZhAEgbHkMZhJ7YfYbAAECYp2gSApuDhX+5r2h/1o1pu6+mPGyawqA8Ms5bnbuI3NQFAxum2CRvSwbIaLLXBtbI4QGmWj+6+qqmhUG2BCoy1wy/kyKoXKstuZiVkX5zKIH5IiLSO7LRRZAQZwWvgGj+zh7OJEmgDCY2G4ucVozv6UMeoDAM9ZjB9pUDRlOUmQxMFE9UKJECiaars+uzhXzz123U4apaqx7tHlHP5PnIN1ILHROsV466YASJLA0weqmM02MRbR13p3a/Vz5/WP6sQtANQrPK6/8h589MpX438+cRPu+O4D7b/9+Orf4DM/eBfGNplnL/RCJlMAr8hwdtSJM6xjaNHbfiimi7oa+i0bOTz7nL6mnqYJHHfsyjILaIY2Nbzq1wyMJEmMb9mEQrqARk27pt1eNwLRxeg7SZGIT8VRK9UgiRJoBw2PzwOSJNGoNVAulBFOhJetQ+583X7GbWwGxajqW5ujE/uOZ2NzhKCu8zKkqqqQLaIly9GZMmdFKVMyRHEJgkAoEUJ4LAxvyItANIDExkRXd12CIAbSwkZVtR65uiiRCuRn85DlxRRpD2eupDnv+guCQdAtythLCnEvEASBQDSAsc1jGNs8hkA00LPz87mnGlNROReD3dtXFx0fBOMJDm99/XYoKvCNHx/Aw3uLKFZEgKIQjAW7OlHPHTRfIJk/WMJDv3xaJ24BoDBfwVc/efOqjrdWq0OCgqYiQVYVyKoCQZVBsuY1/2uJLMkGg7jXvmoD4tHFRQOGIfGed5+MeHxlkexg1BhBZt3sikpBSIpEeCyMya2TmNw6iVA8ZBCaJKmlYgdjQXgXnO6/9PdfwXmbXo6LT3wtXr39NfjN7b813X/LcC99KI3cbA4iL8Ltc5tG4UepR66NjY3NsLEjuDY2RwishzWtXWXdw3X/lRUFj+ybxoH5HBRVRcjrwe5jN4Hrw/m119qcRq2Bcr5siNwRBAG3162rgQvGgyBIAtWi0RGZYVdfVwtoE0gzgytVVSE2RVAeTdy94tVb8cjD87oVbIeTwrnnm/eCPNIgCAL+iN9Qn+jiXCMR1Tv7xDHIsoqf338Q1YaIyRiHy84/FgFubdyJb/r2bbj+/92IaqmKnadux1/82wcQSSxGUc89ewOOSwaR2l8C66SwdXsELnb5n9/IuHl0NzLmxb7HZkz/9txjs4YxVVXB13kIvACSIuHm3Jbfj5aIlaFCVmXD+HpilrXh8zJ43+VbUREcUEBi00Y/AgHtnsg3edxz533IZwo4ZmcSJ512wrKvwXpYxKZiqBVrUBQFDtYBb9C7Zu//u1/+Hr7zpe+0HxdzRXzi8r/Dtb/8OrbuSLbHZUnG/MF53f2pUW0gNhXT+hXP5yGLMkiShD/i76vdlqqqqBar7V7fHq9HE842Nt2wQ7g2I4QtcG1sjhCC0aBmxLSklmoQ7r/L8ci+aTw3t5gmma/U8NvHnsF5u7b33NLG6XK2U0+Xg6/zQA8ZlgRBgPWwpgJXaAgoZosgCRIsx2qOpSug26R2aXRx54kx/PnHzsQN33sC+VwDiXEOl11+IsYnRq/38ErxBr2gaAq1cg2qqoJ1s2s68e8GQRA4Z9cEztk1sey2iqygVq5BlmQwTgZur3tV7+GHX78J//FX/9V+PH84g2ef2Idr77wKniULMuMJDuOJ/voGn/fGE/DrHz2O+YOL9d0OJ43Xf+gFePrB/abP8Qb1kUZVVVHMFHXfk3K+jNhkzDTLwefjkM3qXZQJAvB6B9fzeKVY9b2mKRI7d8Z02QTFfAnvf92H8dSjz7TH3vr+N+Gjn/nQsp+3k3XCmVif1k23/eB2w5goiLjzR3fqBG6lWDEsvqmqinKujMh4BOObxzXzM6L/xYnCfEHnzN6sNSFJUtd0epujGxWAOqIuyrbsPjqxBa6NzRECSZGITkYh8qLm/utkVpweyje01hckScLFuSz3o6gq9s9nDeN1XsDBwxnE/BxYN7tsOnAwFoQkShD5JS1ACJj+8ixXW7uUbn1aK3mt5reUK2k1sz06oC6FojVTmE5xzjgZw8LCybvHcPLuMe24urjiHsl0RtGPNGRJxvyheZ0Dd71SR2Q8suLP61tf+J5h7OCz07j71ntwwZ6Xr/hYAcDjZ/GP39mDH151Hw6n8ghEPbjonadi6rgoIuMcbrzqbuRm9OZmF//Zi3SPm7WmYRFIFmUU0gVEJ6KG1wyHA5BlGYWCZtxFkiTGxqJgRyBST5IkgvFguw92i0A0YLiH/ecnr9SJWwC47urv49Szd+GcV75w6Me6UiRRNB0XO8ZNXeQBnejtNcVf9zq8qBO3LUq5ErgA13ctryRKKOfKWo0xQ8MX9g2kfMRmxFAxukpyVI/LZqjYdxkbmyMIgiBWHbEt58soZRcnxaVcCdHJqGmUU1FUy6yjcrECpimCIAhExiNgPdap0hRNIb4hjmajCUVW4HA6MHdwznRbkiYhS3JP4r3XyGx+Pg/Ww67IaCWUCKEwX2ibXLFuFqFEyFQQzR8s4Oq/+RH2PnAQrNuB8996Gvb85ctADasRq01fFDNFgzBo1pqaG3SXWtiu+8yVTMfzJu1mVoI36MLlf3eucTzgxmeufxeu+fQt2PeY5qJ80XvOxsv2nKrbTmgazbe6jRMEgXg8gkgkBFmWwVj0214vPD4PaIZGo9qAChUuj8u0TONP9z9i+vw//v5PayJwVVVFOV9u99t2e93gAtyy5/L0c0/HgWcOGsbPOPcM3WMr06vVikcrF2moWn9e0tH7vUwSJcwfnG8vWvINHo1aA/GpuC1yn3eoI9wmaFSPy2aY2HcYG5ujCIEXdOIW0CKm+bm8qRMsTZEIcG4Uq8baXw+tGSu1jJjGtox1FZAESeiMWhxOh+kkm6/zmNk3Ay7IIRAJdJ0Q0g4awVgQhXTBchtAi/RKorSiVGWS1IxiQokQZElGMVPE3P45ECQBj88DX9gHgiDQqPL4x7dci/Qh7ViqpQZu/MrdUBQVb/34+X2/7tGALMnIz+fB1/n2+fRH/EMTVAJvIfYsxnvhmOOTeOyBJw3jx56QNNl6sMSngvjEN97WdRurWtvlatQpihzZhRmny9m1Py4AuDnzmlMPtzYZCPn5vM4zQWgKkCVZ56JsxhWfej8OPnMQv//V/QC0BYf3f/p9OO2c3brtvAEv6pW6zvGZpLR629XQrbUaadHT24pKvmLIyFFkBeV8eSD9s21GDFtH2owQo/nrZWNjMxSsojYiL1quvp527Ca4OnrGbvZ6wS6JsCqKYmitUcpVces37sX/fvGXePhXTxv2G4wFu6bQVQtVg2OqGVyAQ3xjHIFYACAWRXeL1r+pHuuFu5GdyaJRbUBRFMiSrIuGP3zX021xu5Tbv/X7EV7ZXj9URUVmOoNmrQlVVaHICiqFisHIapBYXQOruTY+/sWPwt9Rm/i6d70Gu198yor3OUjcXnNDqZZj7/OV17/jEsOYm3Pjla8b/mKTKIimhoCVQkXnvm6Gy+PCF/7387jmjq/h37/zOdzw4A/w9o8YFzFIikR8Qxy+kA8uzgUuyA0kMso4GNNsBn/U3396skU02Cq92sbGxmZQ2BFcG5ujCKsJSjeh6XWzOG/XDswXyxB4EXKpBtakL+PSfczsy+JTr/8fFDOLAvXCd52Fd/7Dq9uPHawDiakEauVa2/Snk0al0dNE3OF0wOF04JZvPIZQjMaO3YvRaIIgkHo8hw3Hblh2P93g67y+hniBSqECf8SPeoU3eRbA10XIkgKaGUw7nU4URYHQFLT0dadjRXV360Gz0YQoGM9ntVjVWgQNIYrrDXnBH9Z/TiRFrqqFytYdW/Dtu/8HP7vhTlTLNezcdRxedMFZ65bW23JMliQJjEOrFY9tiKEwX4DQ1FyUvSHv875tzOsuvwTNRhPXfOGbKBXKSG7bjE9f+QlMblreiGw5FEWBKIggCRK0w5jCbXYvaz9XUpZdUCFJEjtP3bHscXRGbFVV1V6bWN2iTSAaAONk0Kw12w72Lq7/NklWYttOT35+Yi/k2owS9l3GxmaEkEQJ1WJVc3h1MOCC/Zt6dIP1aIZQkqhfWfcGurvhMjSFyUgQqqoio0Dn5AwATrdTN2n574/9SCduAeCn1/wOu8/bhhNfuLU9RjtouH1ulPPl1bytNs26gO//1yO44LId2LZL64H66H2z2PtwFi957cmr2rfSpQewqqjYevIkCMLYKSF50sTQxC3f4JGdybbTAGmGRmQiAsZh3pd3EK8n8iJIilxxTXOLbgZhqqKCoAYnEGVZBl/noaoqgvEgaqVa+zsWiAVWPeGOjUfwtg/vGdDRrhxFUZCdyWpO5At4fB4E40HENvTeE5hv8hCaAjj/8jWjowpBEHjrFW/GZe9/E2RZBm2yKLcSmrWmrje20+VEeDysE5Td0nypId0LREFs98IFFrwCxkIrEroEQYDzc+D8q3PO9oV8aFQbOsFPUiR8YduN+XmJrW9tRghb4NrYjAidhhyA5vAam4oNTOSSpObEXJgvgG/y2kQmwBnaP6iqilq5ptVGEgTcPjdYN9s2lMrP59Goac7CLo8LobjedCn16GHT19/36IxO4AIw1AQvpd+owTEnjeHOG57ATdc+hpuuXRx/+RuP72s/ZjBOc9FIMRQIksCm7Qm8/ZMX4Fufva0tcoNxLz70n5eu+rXNUGRFJ24B7RrKzeYQn4oPXJgUs8W2MzWgLU7EJmOmZmCqquKnX78ft157P+qVJraeNIH3fPYCxKeC7W2szifN0AONQgtNAZnDmfZ5IggC4bHwiiJSo045V9aJWwColWtwupw9RWz5Jo8rP/ZF3P7d26AoCjZt24xPf/XT2LJj+PXEw4IgiIGJW0mUkJ3J6iJVfINHYa6AyESkPUYzNPwRv+HeFogFBrpg2UJVVGQPZ3ULl816E/nZPKKTRqfstYKiKcSn4igXypAFGRRDwRfyrdj932aEUUe3TZAtvI9ObIFrYzMilLIlgyGHKIhIH0wPVOTSDL3spKeQLqBWWmwVUSvXEEqE4PF5QFIkIuOR9iTPTEh5g240a8Z6Xy5oNHjprN1tH6eD7tvZ9uxXHYMnHziMX/9kb3sseXwMb/jgGV2e1RuMg0EgGtDViBIkgXBCa9qrqiouevdZ2HnmJjz14CG4OAdOfdlx8AaGY2ojNAXTlkoiL0KW5IGmATZrTZ24BbTPrZAuIDIeMWx/yzW/x3X/emf78aP3PIfPXHYdPnfLu8H5NWHZip4W04vnkyRJhMbMHapXgqqqyM7qFwGWmqINoi57OSRRO09iUwRJk/AGvfD4BpMeLCsK7rjvEB7flwNFEnj1rgicJrcJvsH3JHC//Hdfwq3X/bT9eP/e5/DXr/8rvPvvr8Ct378DtUodJ5y2A+/9xOW6Hr+diI0qqpnDIAgSXHwDaIe1w/qRBN/gTdMwG7WGoTWYL+QD42DQqDVAgIDLa+72PJDjavKGrBxAE7m9OtIPC4qmEIwGl9/Q5ojHTlG2GSVsgWtjMyKY1SO2xgvzBYTHwmtyHEJT0InbFoV0AW6vuz2J6yZCLv6zF+Frn7pZNxadDODUlx2Dcr4MkiI18xuSBMVQpu/d4/X0LXQIgsC7P/0SnH3hsTi8r4BQzIOTzp5aVYqwoiiasZSstOsZ+YYW2WbdLCrFCjLTGahQwbpZbNwWx5bjx1f8ej3T5dQMOnrLNy3qixvm47dee79hLDtTxh9+9hSO36agkc3AHYsjvONEOFln+3x268m8EmRJNjW0UVUVYlME5RnuxF+WZaQPpdspmrIst3u4rlbkqqqKb978JH7/2Hx77JQNbmyJG4VnLxFxRVHws+/fbhhPzxXwj+//XPvxEw/txeMPPomrb/m8aSp8aeY5PHfPzVAk7TtNsx5sPee1cIfiPb2v5xMuzrU2mQJddMVS0aHICqqlarsnLefnlnXTtrHpGVvf2owQtsC1sRkRKJoyNTECtFTlUDy0JgZCZpEAQEuDU2SlJwHyynecCYIkcMvX7kGt1MDWkzdgz1+cg2phsda2mC4iPhWHP+xv10e2oBgKnsDKBABBENixewI7dq/eTEaWNIGy9Jx4g952q4/cXE7nltqsNZE5nBlKinAnDtYBiqYMhjYUTaGcL8PFDS5iZJU9YDVeKzVNx/fe8lMIP/tT+3Hs5N046Yq/hIMdjqNvt89gLb5L9XLd1HCokq+sWuDOZGo6cQsAD+8rmQrcXl5LkY1O6AAgwvh9f+yBJ/Hbn92Hcy96kW5cEpp47ne3tMUtAEjNGvbdczN2XvhOEBbXS7dskFGCdbMgSMJQP+7iXCs+9matiWK22BadgWig7+8twzKmx8U4mPb9WpZlpA/q72W1cg3xDXFb5NrY2DzvsO9qNjYjgj/cvX/hWqX/WAlYgiB6nggRBIFXvv1MfPnuv8S1f/ok/uIrb4TTpd+vqqpIT6fBOBnEpmJwe91wupzg/BziG+Jrkj66HIV0wSD4K4VKO6Jr1gpE5EXLyOYgIUkS0YkoaId+nVKWZFSLVWSmM6gUKhbP7g8X5zIVs1Yp5MkTzSPY7tqzusfpPz6A5352s+m2g4CiKV3v5RYtd+FhY5ZCDsDQKoZv8EgfSmNm3wzS02nLdl5LyZeNiwhPTldx64PzwILYomgKkYlIT++VZmic8IITdWPdbjmZ2axhrJ6fhyIaj12oliDUjdeioijIzeVw+NnDmH5mGpnDma4OxOuBoiiolWso58sQmgLCY2HdfdDpcq64pyvf4JE5nNHatCkqRF5EZjrT0+e/FIqiEBmP6BZtKIZCeDzcFt7lXNlwL5MESWfwp6oqCoUyDh2cwcEDM8jligP73VFVFZViBdnZLPJz+TW5R9qsHSq0+8VI/rfeJ8dmXbAFro3NiOBgHab1jIBmyLNWq+wO1mGaVueP+HVRitm5Kp7cm0OhaB6tW0qtYkx5BjQBoCgKHE4HwmNhxDbEEIwHR8aExGoSVilUuk78zByCFUVBOV9Gfi6PUrY0kIk842SQ2JhAYlPCNGW5mClaRuT7oVW33TKGIkmtPclSgSs0BRQzRRTSBbz9ky9FKK6Pyp6xC0gEjNfB/KOPWqbnD4JQIgT3knpRp8uJyERkTaKFVkZaDuei4BSaAtLTafANHrKkuT2nD6UtszlaxELmNbCPH6oivimBia0TGN8ybirwzVBVFR/65w9jfNPi4gTjpBFNmN+TNm41tt0iKeukMLO/5efyqJfr7e9SKwNiVGr5WlHP1nc2O5NFvVzH2KYxxKfiSGxKIDoZXfG9uVo07/NtNd4N1s1ibPMYIhMRRCejSGxM6FLIu5XAtMhmC8ikc2g0eDSbPHLZAubmMn0fSyeqqiI/l0cxXUSj0kCtXEP6UBqNaqOn51aLVczun8VMagbZmezILYLYwFa4NiOHnaJsYzNCuDgXwmNh5OZy7ZsyxVBDqb9VVbUdjQQAt9cNLsC1XWYr+Qqa9SYIkoDH52mLBElS8LVrH8F9988A0IJFb3zdNlzwii2Wr9VVTIzwj4/VcfMNXus1yVDGGk/CKGwURTGIllq5hvhUHBRNQZEVFDNFrRaV1JytPb7eapAJggABwvI8ioI4EMMpB+tAYmPCYKYDaCn0udlc+zFNA5+6bg+evH8G1VITx5w8DuHBH2L+QeN+SYcT5Xy5bdY1aEiKRHgsjFAiBKhrk5rcwsW54Pa6Ua8sRvpJikQwtmi6UylUDJ9dK9rVLTIYD7lx/gum8PN7D+rG95x/LBx9ft6qqiI7k4XT6cQ/XfvPePLhJ9Cs89h97m7kcyV85PUf112757/uXJx+7qmG/XjCCbD+CJolfXTXN74ZjEufJi1LsqnAEXkRQlOA0+Xs6z0Mg1KmZBCG9UodrIcdiFGYVYTfanw5KMo8YwGwzsxZmsJcyBsd7SvlGsJhAQ7HyjMe+Aav+w60KKQLy9YoV4tVnbFfo9qAyIuIb4wPxZHaZuWMyLqUjQ0AW+Da2KwZsiRDURTQdPc2KG6vGw7WAaEpgCAJOF3OofyQdzolC00BkighGAuCIAj4wj7TfoW33Jpqi1tA+1G7/oa9mJzw4oTjzd2ZvQGvaTovRVMjXf/FelhTwy0AUGUV4UQY2cNZXY/cVq10s94ESZJgnAwqhYohIidLMkrZEoKxINLTevFbmC9AVVR4g73VpnY7h4NO9e4Ut6qqIj+fN2wnSwLOed0JbXGd874c8w/+Hjo1R5AInnSmqRHUoCEIoqsx1z233I0br74B1WIFx5x8HN79D3+GwCrdXwmCQCgRgotzQeAFUBQFt9etExud6cotehE5l56bxIY4h8dTeVAkgdN2xrF9c//pss16E82alonhYB046QVaz2iKprDr7JNw7Z1fwU3fug3VUhXHn74Dl7zjQtPFF4KksPWc12L/vbehmpkGAPgnt2LjGa8wbLtcH+S1pFauoVqsakZyLgcC0QAoirI0VxOawkAELsMyaNaNGTAMO/g+1r6gD41KQxcdJ0iifY+RukRFJVHGSvWtLMkopAuWf1MVtevvYad7u3Y8EhrVRvszaC2WqKoKh8sBJ7v+iyNHI7bAtRklbIFrYzNkVEUTAK0VbJIitUlvl9RBmqEH2ualE0mUTIVbtVhdtk/hHx+ZtxhPWwpcB+swtNghKa0n7ygby3ABzvQ8EQQBiqZAO2gkNiW0nsAq4HQ7IQkSZvfNtieSDtZhKTJFQUSz3jRNRy3nyu2I+nKQFAkuwBlSG1kPa5kmOyhak1QzRH4xehzecQK2XvZeHLj5BxDLBTD+EBLnXQL35OahXuu9cNcP78Tn/uyf248PPnUATz+0F1fecfWqXXAJggDrYdumYJ2fJ+NgDL1rW+O97Pv0nQmcvjOxqmO0SmNvLcpFY2G84Z2vaY8XM8X2QlgnDo8Px563B7IoaHX7tHX/aDOTNIIghiLwrKiWqijMLwowSZQgNkWtNZvFwtGgFhx9IR/4Oq+ruXW6nPAFjQuLq6XldVDKliCLcrtXb+s6YxgaBEGYpof3ci2aoaoL/XktWsGRFNl10QlYfgFIaArITGd0i4yBaKDnxUEbG5vnJ6RYlzAAACAASURBVLbAtbEZMsVsUZeepcgKcjM5JDYmDAZBg6JV22o2oQbQtYZpub6JpMVqu9V4C2/QC7fPDaEpgKRIOJwO02M7nC0iNZuBKMuI+r3YuXEM1DqlojmcDniDXoNZUyAaaEcdKJoC59dqUSVRQm42p5skCk0BlEWbIrMJfoulE7ZeCEQDoGhKq2lcaFnUWTc9DLpGjzuuo03nvASuzdsh8WLbUZekSNNMgW48u6+A3917GKKoYPu2MF5wxviq3ud3/uNbhrFDzxzEb266C+e/5YIV71dVVZTzZZRzmpEPQRIIxoK66F/LRXxpKqzD6YA3tHYTdJo2vw9RNIVmrakzIgKAWqkGmqHhC1l/bhTTPeTXKoXIHM4sLpAQWs30WhrMtT6bpYiCiEa1AW/Ai1wjp/tbq2RjEJAkidiGGOqVettFeWkrtkHjcDoQnTBfhCRJErF4GPNz+vTycCQIZoULUKIgQuCtDbMCkcCy77WVzdRJa+EuN5cz3CuLmSJY9/AX92w6WOPMCxubbtgC18ZmyJjVHqmqikatAa9jcRIrNAVUChXIkgzGwcAX8fU90VMVFfl0vp0OTNFa/W5nPVu3iNly0bTTdo9h33P6Wi2CAE47dfkoUrcaMQB4bi6L3z+1v/04U6oiV6nhnBOOAblOkV5/xA/GyWgpnITWn5f1mLfxaNabphEQWZQNbTwIgoAv5LM01KEddF8T3db+uomOYUCSpOkigFn0mKIoxKfiqOQrkEQJFE3BG/T2FcH9w4OzuPqrf4SycC5/87tppJ4r4m1v3rni91BIG1OsAZimXvdDrVzTCShV0cx2aJqG0619J0mKRGwqhlqpBkmSwDCMVn+9hrXCrIcF62YN6bKBaMDSCKiULUFV1HZqKOvRFlT6iW46XU6MbRpDs9bUFmVc7NAW/azoFiH0Br3aIkWu3L4vB+PBgR4jQQxOMK8Wv98LhqFRqdQAFfBwbnCcuZlZL3RLNQ9EA/D4l3/fwXgQmUP6CC0X4MC6WSiKeWsrABB4wRa4a4k6winKo3pcNkPFFrg2NsOmh5sr3+CRnk63t+UbPJr1JuJT/fUoLGaLulpXWZKROZzRosVLRARFU4aUYQAIxALLvt4rztuMQqGJO+7cD1UFHAyJt112PI49ZmWtMpbyp33ThrH5QhnzhTLGQt3bKA2L1gS0l0mopSAlgPiGOEr5EiRBAk3T8IV97fYtnenFBEGsuPXIeuCP+EHRFGplbWLMelj4w+bRY4qi2n2E+0VRVHzrO4+3xW2LO391AC8+exIbp1Z2jWzctglP3P+4cfy4TSvaXwuzunNAcxVvCVwAkAURf/rWTZh++Ek43C6ctOcVSJ6ze1Wv3Q8EQSAyEUElXwHf5EGSJDx+D1g3q6XfW7A0slstViEKIqIT/ZUdUDTVk9AZFoyDMS0RaKXl9vrdHzaKrLUrai+C+HszoesXt9sFt3t1afktGCcDkiQNEdalWS/L4XA6EN8YR71Sh6qoOpf/dl29yW+sbUC19oyswLU5KrEFro3NkGE51nSiu3SCW86VDT/SkiihWqr2FZEzex1VUdGsNQ09S71BL2gHveiizLktI5NLIUkCb9mzA6+5cCtKZR6RsAtO5+pvJbKioGlRC1jrsy/kesG6WUOkFtDOLeNkEBkzb7kSiAbgdDk1cUGQcPvcK657Ww8IQjOrGXbdW60molI1vxZm52orFrhXfO4j+NjFH9UE+gIvvuRcnHnBWSvaXwvLdjdLhhVZxo8+8C84eN8j7bF9v34AF/zrR7DzNS9Z1ev3Q8tYrhO3120p1Dtp1ZOOggNyr4TiIaSn07rvrMfn0d2f1xtZkpE+lNbVStcqNcQmYmsa6e8XkiQRHg8jO5Ntn9+Wq3k/x00zNGSGQq3ZhFMiwKqs5h5PEPAGjNkjtIMeqc/vqMEWuDYjhC1wbWyGTDAahCzKiz1VCW1StbQXpqXJS5/uslYTaqtxl8fVc5/MTjjOAY5beeuITiiShNvpQN2kZss7gMmKJEooposQeK0G2Bv0DjwyQ9EUohNRZGeybRMU1sMiGO/uxksQBNxet65fq40Rj4eB00GBF4zfi3Bo+cUZK5InbMVX7voqfv7d21EplnHMycfhZW98+aojZKyHNa0fXLqQtP+eP+rEbYvffOHb2PKyMzRnX6dj3dItXR6Xtvhi0RO6EzP3Z1VVITQEKIoCxsmsu6nYUhysA4mpBGrlGhRFgZN1wuV1jZT5XSlXMvxGCA0BlWJlTUsSVFVbLJVlLV27l4UM1s1ibNNY+/pxup19ld6oqorH90/jUHqxFjrk47D72C2gKLLtM1AtVaEqKpxuJ0LxkB3BXWNUqCPTv7oT1VbeRyWj8ytjY/M8peUWLAoiFFmb4HX+wNMO2lTk9lvrxXpY05q59VjNfvLhOTxw90GoqoqTz5rEiadPLPuc3cdM4TePP6tLddoYCyHmX11kUJG1PrQtQydZkpGf0+orBy1ynS4n4lNx3Hfbo5h+Zh6c34OXvGE3OP9g0v6OZggCePk5Y7jlDn0q+3FJHzZvXF0Ke3wqgbd9/PJV7aMTX8gHkRd130lvyKtzZi7PZkyfW03nkT4wD3LBqMsf9vdtxjUogvEg5vbP9bRtZ+ZBq0xiaRpwKBEaibTfFrRDcxQeVcxSqLuNDwNFUZCZzugWbDg/h0BseaMoiqZWvHg3kyvoxC0A5MtVPDM9i20bJ0AQBPwR/0h/fjY2NmuPLXBtbNYAWVaRmq6i3pSwcdyLSFAvdgKRAOYb87o0OcbJtGvTJFHSjHkkCbSDhi9o3sonGA9ClmTdJCSU0EeL14Jf3fw0rv2/97Uf/+JHT+EtH9iNV7xhOxrVBiRBAsVQcHNuXaraeDiA807ehn1zWYiSAj/rwLjXg1qpBrfPveJV+VqlZupWXM6X2xNtvsGjlFtooeGgEYgEVhQ1kyUZ//J/rsVDv9zbHrv5mt/gX3/8QYTi6yNQni8osoIzTgqCZYCHHitAklVs2cDhnDOjkEQRtIVb9XrRcgoWeRGypF1XnQIwtHHc9LmeWKgtbgEtiudwOcC6Vx6pXimMg0FsQwyFdEH77tIUXJzLkBrqj/gNi3KF+YJBiOXn8usalT7SsPJF6OZ2P2hK2ZIhG6FaqsLpdg4186RQNu9Dnq9UTcdt1o8RDeDaHKXYAtfGZsiUqjyu/MYfcXBWmwySJIHLLjoO55w+2d6GcTKIT8VRLVY1t04nA2/QC5IkIQkS5g/NL6b+1YBGpYH4xrghEkxRFGIbYhCagpbauNB7cy1p1AR8+8r7DePfv/pBHLvTB4ZZ/BWsOCuITer7TYZ9HIKcG/MH5yEJEqoFbSJTzpcRn4qv6P2YpU0uHeebPNKH0u1xSZQw35hHYqr/Vk6/+N79OnELAPMHcvjmZ2/BR7/0lj6PfPhIooRyrgxREEHRFHyhRfOrUeWkHUGctEOf9p2by8HpdLZdr0cFgiC6ns8NZ5yA4y54IZ667beLz6FI7HrvGwzb8nV+XQQuoGUmJDbqndLdPjcalUUXZbNj63Rmbo83miP1OY0yvpBPc3FfAkESPRs1DQKzXs2t8WEKXMpK3JOjtZh11KNidGtwR/W4bIaKLXBtbIbMt3+8ty1uAc0J9rqb9mLLBj82jC2m3jIOBsGYsVazlC8ZBJosyagUKghEjG60BEGsq8lLZrYKSTQKSkVRcXh/AZuOWTxmkRdRypUM7zs/nze0f2ilFUcnzfs4WqEqquXkrDXBruQrhr+piopKsWL6mbQQmgIKmQIkXgJJk/CH/Xju8cOm21qNryct85ql0e1mrYnYhthIilySIi37YiqSgobUQLPRXNHCxHpBEAQu/NyfY/LUHZh5eC8YN4uxM09GYMukcdsRMxRyOB3LZ4dYuNwSGK33Mso4XU5EJ6Mo58qQRAmMg4E/aoyWDxOra2/Y1+REJIgD81lDfeeGWHior2vTP3YE12aUODJmADY2RzBPpoy9NFUVeOq5gk7gWmFlQGXV/2+9CYSta019AaPwFkxMpTqjFe1tV+CmXMgUTA1ySIpsi1erCK9Vj0xA+1yWuq8qgoLcbA6btpv3A/ZH1i7a0iutjIGltPp+RibMHZ/XE4IgEBmPIDuTtbwWVEVFpVBZ1thrlCApCqe8+QKc8uYLAGjZCqVsZ69p4og0IfN4PaiW9OmkBEno6pBtlod1m0fI1wouwLV9C9oQg/cw6MTncePUYzfjsecOoSmIoCkKx04mkAj60aw3QZIkGCczUqZgRyuq+c+ojc26YAtcG5shw9CkqesrQ/dWT0rTNAQYJ/Oj5ES6FF/QhZdfug133KhP0z39JRsQihontWZ1tQQIc+fDPucwqqrqWr8sxR/2g3EwkETJ0v2xW6uelmtnJyecvQXeoBuVwmJrFYIALr3i3P4Ofg0wq0sGAEkazcUTQKs7jG2IQRIl5GZzpkY73RYmjgS8QS9URUW5oLUPoxgK4UR4Rd/51ONp7HsiAzfnwCkv2gj3KpzPG7yA+WIVBAEkgj44ezieQDQARVXarYYomkJ4LLzmpRM2q8Pj80CRFZRzZSiKAoqhEIqH1iTNPBrw4dxTdkKWFZAkgWatiZl9M+37toN1IDwehizKWq07Q9uidx2wI7g2o8RozpBtbJ5HnLVrDD//7UHdmNtF46RtvaXa+sI+NGoNnZiiaGroPUdXw2UfOg2RhAf333UAqgqcctYkzn/9scgezhjSFc3eh9PjRKNidINumW71hcWPLkFoE6XsjDH9DdDSL7udY6uoL0WT+JcffxDXfPrHOPT0PEIJP/Z89OU45SXb+j/2IWOV4jjqPXgJgmi3KTETuKN+/MvRcob1hX2QJQmHfvMHPPnre+CJR7D5pWeBdvZWgvCjrz2EG7/6UPtxZIzD3151IWLj/d87DudK+PWjz0Bstb9iaLzs5GMR8XXPTCBIAuFEGMFoUBNGNGULjyMUb9Cr9VNX1yddnqJISKKE7GxWd18XmgLSB9K6hS2Pz4NgPGhfazY2Rym2wLWxGTKXvnwreEHG3X84DFUFIkEX3rvneAR8vU1SGQeDxFQC5Xy57cTqC5m7KI8KJEnggj07ccGenbrx2OSCE6uoObEGIgHTtLtQPIS0kNaJFxfnMq057karHtksRZlhGWSmM6bi1h/2gwtyXV2bHawDtZIxOuxgHUhsCuEfvvdnfR3resAFONQrdd15Jhd6Sw4SvsFD5EWQFAnWww6sR6UvrJnvLE3jZxwMvKHRXfzpB1WWcefHP4fpex9sjz1+/S141Zc/AwfXfbHnmUfndeIWALKzVXz9X36Dj3/5VX0dhyBJuPuxZ9viFgCaooS7Hn0Wl77gJJA9iB2SIi3dgG3WBlmWUSvV2n1sPT5P3wKQIAjUKjV85R+vwZ/ufRQujwuXXH4hLnzL+UMXk4qioJgpmi5admZt1Mo1OFiHJshtho+K0Q3hjuhh2QwXW+Da2AwZmibxtou3Y8+rjgUvyODc/adO0Q4aoURoSEe4dpg5sZpBkiTiU3EITaHtKr3SqFwoEUJmOqMTQaFECARBWEZhHaxjWRHm8XnQrDbRqC1Gmke9n2YnJEkitiGGSqHSbv/CBbiBpr8XM0VdOxnGwSA6GR3IAg1FUZr7eKkKSZRAMzS4QPeFiSOJJ2+8XSdugf/P3nmHOVaW/f/znJz0ZDKTybSdnW1Zlt67goIigqBSFHntCqJYsaAvFuy+ymt/xY76Q1CUoigqIgKCCgjoLr0FFrZMy6T3cp7fH2eSmUxyZpKZzOzs7Plc114wT3JKkpOT5/vc9/29YeLJZ3jgh7/k2A+dP+u2Tz801nD8KYPx2YgkMxQapLOncwVSuTwdu7A2dDGRUq6YCGCpWKozlMsmswQGAy29xlKxxEWv+TgP3/9YdeyRBx4nk8pwzjvPbOs5T0fT9F7mrfT+zWVypsBdIkx9a7LcMAWuickSYbNasC2zPp3LmXa5QatWlb61feQzeaSU2Bw2VKtqWH8Kxn0nZ55f96pusqlstcWOyzv/Xr27CkXR3Z8Xg2w6W9crtVgoEh2PEhhoj4mVYlHo8K/M/sLhx0MG40/Pua3ToNbW6W59oUid5ftg2c2u97mQUpKIJEjFUnqrNadNrzXdzdPeY+FY3T0vl8mRjqdbEoH33HZ/jbitcMVlV/HaC85YtAWBVCzVkrgFVszixO7CchW4JnsmK+uXycTExKQBiqLg9DhxeV3V6GRFkM7E7rQ3bZxScbb1dfvw+FZO5LBdFLKNnY6Nxk1qsRvUtxqNT+fwF6+lq6f++n7Za/dr+Tz8Hjddnvp9rfJ34F6G7aQWQiKS0I2UJrM7CtkC49vHDbM9dheMxGGronFippPyJIlokmKhtX21wmznadSqal6eDSbzRsrl+c9kz8SM4JqYzEGpWCI6FqWQK6AoCp4uDx6fx3B1uJArEBuPVaN6vm6f2RJjmeLv86NYFDLJDEhwuB109e4aY5Idz0T4zQ/uIzycpG/Ix9nvPprewQ7SqQK3/3UrkXCWvgEPJ7x0LXb73Lfuzfc8xM++eRUTYxGC+67nvZ+6gED/0rb+2VW9M5cSKSVSkwhFtP262eeMk3nid3+hlJtWQy4E+59z+qzb5XN5tGKe937xRfzy/x7g2UfDuLx2Tn7d/rzyLYe0fB6KInjpwZv4+yMhRmJ6RH4o0MkL99vQ8r7mS6lYIh6OUyqVsNltbfUhKBVLaJqGalVJxVJ1j5dLZbKp7G4tmCwWCyXq3dGVJt38K2zYd13D8dUbVs3dE3kBGH3WDqeDnqEeUrEUsfGYnlauCLp6u3ZpW6U9ElNMmiwjTIFrYjILxUKRka0j1b+1skZsTDe5aOSwWyrM6I1a1gjvDNMz2IPD3Z4fWykl0dFRkpEIUtNwuN0EBgdRbSsrkrIUVCZClX64u4qdz0b5zJuuJ5vWI5tPPzjKg/94no/98Ay++93/MDY6ZWb1z79v45JLj8PhML59//ufm7nwjA9WUxIf2/wED/x9Mz+//Ud0+peuRtjldZGIJOraKXl8K6MuLpvKEhmNoJU1hKI7H3s722dw1bluiFO//Vnu/saPiT+/E09fgMPf+QYGjzIWqal4iuhoFACnE97+0cPw9/sX3K/U7bDx8sP3pVguIxCzpi23m1wmx/j28erfhWyBdCJN/9r+BdWLSymJjET0BS70jAyjlmGatntHcL1+L/kdtWZ7ikVp+bt44FH78doLXs21P7yxOmZ32LjkWx9qy3ka4en0kE6kayPpAnw9vurjbp/eykixKGZ6sonJHo4pcE1MDCiVSjXidjrJaLKhwDXqjZqMJtsmcKMjI8TD4erf2VSKkWefZdVeey2rFNlSsUQhV0Aoei3tcjq3pUJKSTKaJJvSjaicHifeLm/d5Ot3VzxQFbcVkrEcP/zinYwVat+3556N8+c/hHj12XsbHvdHl/2srt5ueNsIv/35Tbz1A29YyEtqCdWq0ru6l8hIhGKhiKIoeP3eFWH8ks/mCe+c+h5KTRIbi2GxNE59nw9SSp6LJCkddyx7DQ1w1IlHYbEYRy3L5TLRsWjdeHQ0itPjbMt3UFUUUrFUNaPF3ele1MidlLLmfa6Oa5LoWJSewebarTUiHo5XxW3lWEbYdvNUbKfbSWAwQGIiUXVR7uzpnFcU/IP/824OOfZAttz9ME6Pk1Ne+1LW7b1mEc56CtWq0jfUR2wiVjXE6/B31HwuQohl3V1gRbOc04GX63mZLCqmwDUxMSBiUGsExj1QjcZntjCYL1JKEhMTdePFQoFsMonbtzwcfNOJdM37p1pVelb3tNWdd3cgNh6rSXks5AqUCqU6R+zIaH1aJEB0LA0NIoI7tidmPe7ozvGG4+PD9UJhsdHbJvVXxcNKiaykE/UtokBf5GqHwC2Xy3zy/Ev56423VceOPuEovvqLy7A7GpuvlQqlhpM5KSWlYmnBQrQiNnPpXHUslUjpGSqLlA6qlbWGi4bQev3oTDKpTMNxoYiaY/q6fW0xvNvVON1OnO6Fl8sIIXjJq1/ES179ojacVfOoNrVt5nQm7WfZClyTPZI9a7ZpYtICpUJ9vVIFo9V8q8MKDbRHuyIcUspln0JXKpTqFgdKxRITwxP0renbRWe19JRL5Yb1fOlEmo7ujhqxP7Cuk0fv21H33I6Ai2yDy9DXObuYWLfXGp5/elvD8V3FShG2FYy+h0ZirFWu/8kNNeIW4N47/sX/+8aVXHDJOxpuM5v792yR32bJprM14hYAqS/kNNP+az7MVq+94L66Bh+Vx+fBarfqLsoO24oQtyYmi8lKaxMUDAYV4AzgXGA1sB6wAcPAPcB1wJ9DoVBbX3UwGLQDrwNeA/QCGwEN2AncCfw6FAr9vZ3HXKnseTmDJiZNMtvkqauvcc2mx+epi2SoNrVaJ7Tgc1IUbI7G4sbuXB5GVvlcvuF4IVeom/xLKXnsd7dx00Vf4qaLvsRjN942a5pgKxQLReLhOLHxWDVFeCmZrQ3RzMfOuOBIuvtr03b713byto++EKu19jp0uay87JTZzX0+8Nl345vROufgow/k1W88rZlTN2kCh7Px97Bdkcwt9zzYcHzzvVsMt1GtakNDO1eHqy2pm0aLfrMtBi6UigN6Ixbac9povy6vC3eHG2+XF4tqITYeY2J4gvhEvG0LiZWo+mz3CROT3Yld7ZbcLhflYDC4EfgzsBdwYSgUekEoFBoAjgBuBt4G/An4ezAYbN2W3vi4RwB/AZzA60Oh0DGhUCgAnAhsBt4H3BUMBn8fDAZXt+u4KxUzgmtiYkBnT2eNsUkFX4/PsCeiEILAYIBMMlOtE3J1tLc3as/QEMPPPIM2Le3ZPzBgKHyXmlkjdTMeuufyX3D/j6+r/v3sHfcRe34nx77vjfM+vpSy6qhZoVIz3dnTOe/9tsps6dgzH+vqcfO5X7yWP1/9IOGdCfqGfJzyxoNxdzi45NPH8ZtrH2cinKGv38Nr/2s/evtmNwxau3GIq++4gut/eiPhUd1F+bXnnbGotZLLkchonGce3oHL42Dvw9e2tT7P1eEin8uTjk+lKjtcjrb15HU1aMsD4HIbpz8LIeju7yYWjpFNZxEInB7ngoVgBVVtfE0vdt1jd383kdEpMyhFUejs7TRMty2Xy6RjaTRNw+l2Ync1jsD6Ar6qQzIAAvy9/mqGTqlQYnTbaE3pSTaVpXeod0H39GK+SHg4XF0YcLgc+Af8bYmy74lIKSnmi0gpsdqte6Tfg0l7CAaDA8ANwFtCodB/pj8WCoWeBT4SDAb/A1wFvAD4RzAYfGEoFHp0gcfdD/gJcHooFHp+xnEfAd4aDAafAr4AnA4cGAwGjw2FQsMLOe5KxhS4JiYGOFwOAqsCVZdURVHw9fjmdJ0UQizYsXQ2bA4HqzdtIpNIoE26KC+X6C3o75tFtdRFJtwd7hrxm5mIcf8V19dtf/9PbuCg/zoNd6B1Z2NN0wjvCJPP1keRk9EkLq9rycxiFItCV29XnemPkbGLz+/inPcdUze+IdjFh//72JaP37+6j/d86oKWt1sp3HH9/XznQ9dQnBQRGw8e4lNXXUBnoD0ux0II/H26O3GpqC9m2Z32tqViv+qNr+T3v7iprq7/rLeeOft5VZzBab8zuNPjxOawUcjVGqK1S0AbIRRB90A33QPdcz43n80ztm2s+ncymsRqs9K7pl6UKopC90C33iaorKHa1BqRGZuI1b3/xXyRVCw174UMTdMY3zFec3/MZXJERiILMszaUykVS4R3hqv12IpFIbAqYKaV7wqWaYpyi3wT+OlMcTudUCh0dTAYfC3waqATuCkYDO4XCoVyRts0wU+AT88UtzP4Enrq8iHAWuD6SXG9Mt75NmMuc5mYzILT42QwOMjQpiEGNw4um/YmFlXF6/fjCwSWlbgFfYLRM9hTE+V2dbjo7K2NniaHxxvnD0mpPzYP4uPxhuK2wkJNaVrF0+mhZ3UPHp/eOzkwGGjovm3SXrY9OcK3L/pFVdwCPL1lG5d/5FdtP5bdacfd4cbhcsxb3EopiU/EGd46zPCzw0THoux/+H589erLGBjSa1t7BgJ87gef4QUva32xo10IRdCzugdvlxe7047D7aBnsKdtrtHtILyj3kitWCgy+vxow/IHIQRWmxW7014XQV2MlOx8Nt8wLTmXzhmaFJo0RkrJxMhEzX290prPfC+XmGWQimyYotyk/JuM3p6NniY8Fz+Z9v/rgbe0+pZNO+5RwNFzHXdSyP502tCxwMnzPe5Kx4zgmpiYtB2r3Ur/un69P6gQDY1ivKt66txKARCCjlW98zpuLjv7AqqiLv2ansPlqKvL1DSNeDheTY10eV34un2zGuqYNM/Ddz9NuVQ/wd38tyeQUs5LiEpNEgvHyCQzSCn11FebhcRIBN9AAPcCUpNjYzFS8SlDslQsRalY4oUvewHHbfkNpWJp2TiQK4qypKn+RpSKJWLjMYr5IopFocPfgd1lN6yRLRVKZFPZlsS4RbU0XBSzqBaSw+M8euNfycWS9O4XZJ/TT0A0kxo7y2RbrpAQ2FKhaRqFbKF+vKyRz+YNa6xNFoflajLVAgcCFmAN8PAcz71/xt+nAT+Y53Erjc3XAHOlOjc67p/nedwVzfL4xTQxMVmRzGbU5fJ3cuQFr+Nf37+mZvyoC87B1T2/CfRswsXmsC1aK5NWkFISGYnUGF8lo0nKpXJTKZgmc2NUE2pZwAJHZCxCJjHVViaTzPDMI8/wu4u/BcCJ73sdJ77/nJbFs1bWasRthVw6RzFfxOawLRtxu1wol8uMbRubioQWIbwzTHf/7N+fUrG1yKuv20c+k6+J/FpUC/lwhBvfeSn5xNTntvWu+znlKx+ZU+TanLaGC3u7snZUK2tEx6NVh2yX10VnoHNeC26aphEbj5FL5UDoWVDz3ddciJmmh1aXtgAAIABJREFUDia7lBUgcCurlFcGg8EfA9eHQqH7DJ47M1VkYxuOe/Pkca8NhUKPLdZxhRBvbnWbpUZKeeVC92H+apqYtJnKhLVcKqPaVDwdHjMyZ8BR7zyHrrWrCN12D0jJhhOPZtMr5t9b0d3hrjGXquD0OPH3+ZdFq5pSsdTQ1TmTzOAL+Ewx0wYOf+l+uDucpBO17/MJZx8xr2tAK2s14hb0hYr+/TfQs9caxp54jtu+dQ3+tX0ccsYJLe17th7ZC02zzGfzFHIFFIvuRLxSzHcyiUzDNN+H7n0IBUH/2oGa8UrUvtXvls1ho3eol0QkQblUxmqz4gv4+N2Fn6kRtwChW+8mdNu9bDxp9hRyi8VCYCBAeDhcFbmqVe/vuivuT5XextNLO1KxFJqmzblg0GhfEzsnyGWm9UmOpdDKWlsX7zRNA6mnzNud9rqyFMWimDW4S8wKaRMUmvxvN/Ax4KPBYPA9oVDoew2eO7PWaCGvvnLcIeCzwKeCweBZoVDo94t03J/Nc7ulxBS4JibLiXJJjyxMjxRkEhl6VvesmMllOxFCsOnU49l06vFt2Z+n04NW1khE9GbEikXB3+83dFvdFcwmWrSyBo0Nuk1aoLvfx6VXX8BX33Ul4zt0k68TXnMEb//MGfPaX6O014oYsU9zO37kT3e3LHBVVW2cqo/eYmy+xMZjJKPJqX1ZVXqHehfd8XgpMGqtc9+t93LrtX/mc1f9D13TTOqE0IXQfFJWbQ4bgVWBmrGJpxv7wERCz8McAhfA4XYwsH6AYq4IAuwO+y5bBC3miw19CzKJjG6I14Kzc6lQqhG31X0lM4bmeq2gaRrR0WjVTdtqs9LZ20k8HK8an1lUC4FVgYX3SDbZE9kM/Ac4dPJvAbwLaCRwB2f8bRRxbYY/o/e5XTX5twqcDzQSuO087q5f8a9Fop9TW8S3KXBNTNpIfCJelwZXyBUW5Lpp0jxCCHwBHx3+DjRNQ7EoSxYVkVKSjCTJZXIIIXB1uHB5XXXHt9qsDW/hQogFCZqVRKFUQkqwqZZ5fX7lUplV67v5yu/fSzqewz/QhcenC9FCvkAmkUHTNOxOe8PPaCYW1YJiUeoWJ8rFEhPP7mj5/KYjFIG/38/Ezoma8YUIglw6VyNuQc8ciI5GCQwGDLbafbDajVaBJOl4mg+/8v0ceOzBvPjVJ6JYBOHhMG+95O1tuxe4Ap3kYon68RZKKywWCxb3rl9smGvBrRWBO1c2wkIFbnRsStyCbh4WGYnQt6avGtVVbeqyyNTZE1muEdxmCYVCMhgMvh29x23/5PADBk8/acbf8444hkKhTDAYfBtwLVPpys0cV6K3K5ov25mKHu9qFOAgoG2W/OZsysSkjRi59BZzS+veu6cjFIFFWbrJY8XNM5ucSonNZXKUS+W6hQ3FouDv8xMZidSM+/v9e3yUP18s8Y9Hn2FnJA5AoMPNcfsH8TiaTzcsFoqMbRurTtyFArlUBneHk3w2z/iO8eriQjqe5t+33cfO0HZOf8cZuDsau6QLobepCe8IV+sxtXKZO791DZnIlNDZ56VHzudl4/K4UNeqZJPZqkFObDxGPBzH3eGms6e1GsZ8rrGTuNH47obL6yKbzJJNT33fFIvCC087nht//BsAHrp7Cw/dvQWAMy44u60R0qMuOIebP/rVmjHfmgE2nTK/TJRSsUQqlqJc1tOgPZ2eJbsXGC0WKBal5ZRuq91g8U4RWKy19+NWzd6klHVlAqAvZuWz+WXl5L1H0oJb8ZLTSo5yKLQ5GAxuBF4MaDRwNg4Gg4Ja1+SbQqHQ7xZyiqFQ6JZgMLgeOB6IhUKhvzU4rh04d9rQ5aFQaPM8D3mzlPK0eW67KAghPMBz6K2XFowpcE1M2ojRanc+l5+3e+tSUi6Xq612FEXB0+VZ1J6+K4VivlgjbivEJ+J4O711k2t3hxurzVqdoDs9Tmz2penPu1yRUnLXIyFGolOCMZxIc/uWJzntyP2bnvDHxup7l2bTWTLJDImJRM1kR0rJuv2C3Pjda7nzhtu47E/fNhS5DpeD/nX9ZFNZpJRsvu6vPHnrv6qPH//OMznstS9t4RXXYrPrZlKjz41Ws0CklKTiKSQSf5+/6X0ZvVcrZQFFCEH3qm4yiQyFfAGLxYLb52YwOMh7vvx+vveJ71SvgaNPPobzPvWOth5/48teyCu+rvKfn99ILpakZ98NvPCDb8XmcVHMF/U0XQFOt3NOkVgqlBjdNlpzzWZT2SUra7GoFn3BbXRqwU0IQXd/d8u/VxaLpX7xTkB3f3f1tSRGR3SfBKsLIUt09nbj9c8dtGnU4qmZx0yWjsX8GD6/88F5b+v1elHV5uVOKBRKA3+c5SnvRI82AvwdeP28T672uBHgxlme8lmg0iz7euBDCzjcXQvYdlGQUqaEEP8BTmzH/kyBa2LSRrx+b01UoUK5VCaTzCxrsSg1yfj28ZoodGQkgtQkns7l0f93uWJUE4jUFw1Upf5Wa3PYsDn2bFE7nWyhWCNuK8QzOSaSGXoMelBLKZGaRCgCIQTFgkEWRb5YVz5QmcD3rV3F3397O7/5zq9548ffbniOqlWt9jF+0QVncsirX0x02yhdq3vpaNGQpxH5TL6h0286nqart6tpweHyukhEEnVCfyV8jysLhUII3D43bmrvqWe84yyOO+14nnviOTp7Otmwf3BRFhY3nHg0G048umYsnUjXiLu4iBMYDMzq3h4L1y/IFHIF0vH0kvXMdvvcWB1Wcmm9vMLpds67XKKyeFepxXW6ndUocWJ4O9FoHsU2+ZkJK7FwAiEEnq7ZS3gURcHmsFVrbasITEOpZcKesM4QDAYPAS6b/PN24JWTgnixj/ty4COTf/4SeHMoFJp/Q254ZOFntSg8gilwTUyWH3an3bBEvlRYyL2oeTRNI5vK6q6fdisOl6OpCV42nW2YYh2fiK+IifFiYhSlEYpYEaY+sxEenSD0WIiuQBd77b9x3mKibNC/1OgxKSWx8RipmO5mq1pVPc3bojRccGhUR1sRS/GwbkS14+ntLZ1zR5+fjhYiq3Mxa5RKkwhLc++tRbXQs7qH6EiUQl53UfZ2eXfb77GUksREourua3Pa8Pf59Xr2BgRW9RBY1dPwscWiXCrXREFhsnRheIJVG1bVfS+klGRT2YYGT6AvdiyVwAU9g6CZLJLKNTpXS7ZGi3djTz2OvX/vuvHYyNicAhf0SPD4jvGpRaDJ6LDpPL88WEyB+4n+g+Z+kgHXFkYYlwsvE5sUt7eiOxl/G/hIKBRa9PqzYDD4MuC3k39eAnwlFAot9N2eq8/vrqJt52XeFUxM2ki5VDas95hZg7Qoxy+XGd82XhPFcnld+PvnbpFjFIXUytpukV69K7Ha9bq5itiq0ErUbXfkVz++jq99/BtVc5kXvPQYLvvp/zTtWl3IFaotWFSrisdhJzWjTtSmWvA3qK+Lh+M173epWGJ8xzidPZ1ER6M1z7WoFlwdLoQiah4TQvDMQ0/z6D0PAdC9qrEBUzFfJDIWoZgroqgKHV0dNWJRSt3cqNKSx+1zG4qv2TCK6Ftt1pZdYW12G31r+5bsu1tIJ0iOPAdAx8B6rK72ielEJFF1RgcoZAuMbx+nf23/snHLLeaLDe/9WlmjXCzXRESlJhnfOU4+Y1wTncvk0Mrasnl9hXyByEiEYr6IUATeLi8d/o6Wrq1yodBwvJFLeSNUm0rf2j7y2TxSk2aPaJMlY1JkXoduhnRuKBT61RId943AFUBs8ri3t2G3D0spn23DfhaDLcAT7diReWcwMWkj6YRBpopgSUwwYuOxuhTNTDKDw+2YMz3ayGzEarOuaJHWLjp7OrE5bLqLMrqL8mypibs7d/35H1z2sVqjnX/+9R6+9Znv8N//e/Gc2+ezeca2j1VFQSFXYN8uHw9PRMlOXsNW1cKLDtiIrUH9VKPvmtQkSAisClRTdK12a7XdicfnQSAY3jrM2LYRQlue5Pc/vIFyqYzb5+EVb3tV3T7LpTJj26dMq8rFMtGxaDVFthKlm97bOBVL0bO6p+XUSdWq1tVDKhYF/8D8o8RL8d1N7HiGp2+7Fq042arFamfjy16Ht3+t4TbNRAIrzFw4Av1zyaayuH3Lo+xjtuj6zMeS0eSs4hb09yefyy+LFmflkr5wWhGiUtMj6kKIlroDyKL+nZ256KLQfBBMUZRl8Z6Y1LJC+uA2JBgMngd8H3gceE0oFGqLAGviuJei193eiS5uh9uxXynl/MPhi4yU8l/Afu3YlylwTUzaiFHLBUVRlsQwpK4+adr4XALX7rTj9rlJx6eEgxCCrr6uWbYyqSCEwN3hXlZ11pXUznQijdQkdpedrt6ultKmC7kiD/3jGTLJPMGDVrFqgx7l/MYnvtPw+bf/8W9NCdyZhk8ALkXhxL3WkbXok6VAhxuHQSTUKJ1XSonT4zTseWp32bE77VhUC6EtT9K3pp+eoT5e+Y6z6Oqrr6NNJ9INv9fJaBK3z00unasRt5VziI5F6V/bX7fdXLh9bmxOG/lsHiEEDrejpVYtS025WCB0+/VVcauP5Qnddj0HnfN+lBmLE8V8kYmRCT0SKASeTg++gG9WoWsU4Ws28rcU2Oy2hjWiLq+r7vPb3dysM8lMw/c6FW+t/d3A/ocy/PgW3OsOro6VUhFW77NXW85zJpqmVeu1TRYZuXwF7kIUbjAY/CLwcfQ2QBeGQqF6K+82EwwGrcCPgDej1/t+PBQKGffgMmmIKXBNTNqIzWmDaP34UplgGInoTDJDuVTG1+0zjNQKIejq7cLhclRdlN0d7kXtzSqlrKbhtXMSIjVJIa9PNK1264pxj22VeDhe0w81m8pSKpboG+prqm1KeGecL77p5+wIhQFQLIK3f+YVnPymIxl+fqThNs3Wmhsbc2kMds8dsXQ4HQ0N3eb6rlksFhCwasNqzvvCe2ofa1BGMJe4MjK1WkjNvdVmNUxxLpbK3PKfrTy+LQIC9hvq5qRD12HdRams2eg45UKubryUS5NLTODy91XHyuXaaLiUkmQ0We1fbYTdYW9Yq2pzLh+TNiEEgcEA0bGobtaEwOV10dlT3/GimfuRRbUsG/MkqRksJpVbUw6+NRsRFgujj/wLKaxYXS4GDzkGq6u92U2FXIGJkQlKhRJCTKZTd7eWTm3SOstW4M6DYDBoQReZ5wLvCIVCP57lufsD60Kh0B/acFwXukPyUcCrQqHQTbM893igFAqF7l7ocVcipsA1MZlGMV8kFo5RKpSwqBZ8AV9Lk4xGk1ohRMNJzmLg7fIyMTxRN66VdeOpXCZH35o+FEUhNh6rGtB0dHXg9DgRQp+ULUU6dSaVIToaRSvrq+wd3R14u7wLnoQU80XGd45TLuoCSrEo9Az27HGOxRXxMJNivkgum8PpdqKVy4S3jelpvA3agvzgY7+rilsArSy54tN/ZO8jhnA6PRSSWd1UDfRVcgEHHn5gU+en2tSG4rDZmrquvi5KO0o1xmiVNPHZEIqgM9CptyqZhqvD1VBUGhnvVI5jFA1fDHMxKSXX/eNJHts29R2/+/GdJLMFzjl+n7YfrxksVuNaY0WtfSybyjaMhqfiqVkFrr/Pz9j2sZpFEV/Ah91h17MUIompRTmfe5elsFosFgIDjeu4p+Pp9JBJGgeCLFZ9P8tlYc5oIWE+ArxjcD0dg+sXekqGlIolxraPVUV55foQSmvp1Cats5IELvBD4DTg2FAotGWO554KWIEFCdzJyO0NwHrg0FAo9Pwcm7wO+AdgCtwGmALXxGSSUlHvR1j5YSwVS4xtG6N3qLepH/JKOmij8YqJzmLj8rqQmiQeiVcFXs25TNZOFXKFmnYk4WyY7oHuBQtbKSXxsTESE2E0TcPh9hBYvRp1xiQ4n80zsXOidrtwvNrPciHHD+8M17x2rawR3hmmf13/spkwtkqxUKymwTrcjhrRlctMpcg6Pc5q3a9R1AX092Tbo8/ynfO+xOizOwHY97iDefcPPoa3WxcaUkoeuXdr3bZSkzx23/Oc8ebTueryayjLSZErwGF3c8nXPtrUa/IFfOQz+ZoIacWsqxksqoW+Id1wRtP0WttmjZ28XV4sqkWv45X6e+rp9DRcXHF6nHWp+6pVpau3q/q41W6tcyCfTbDNl0gqVyNuKzz8XJiTD8vR6V76mm9HZw+e3iFSY9tqxr0D67F7a8sbDCOBs1yroC+G9K/tJ5vOomkadocdm8NW/b7n0lMR5Gwqi7/fv6xKBWZid9oJDAaIjccoFUuoVhVft6/6mlSruqyijQ6Xgw5/R43Rl2pTl2X5SjaVbXg9pWKtpVObtM5KEbjBYPA96OnBRzUhbgEOA/7WhkN/CTgGOCAUCjVj6X8Y8Ps2HHdREEIcBYzvKkOr3XO2Z2KyCCRjyYY/jI2iYI2ouA03wjAdcxGwOqw43Q7DSFYhX2jYa7OROG+V2OgokZFhSsUiWrlMJhFnOBSqS/M0il4YmnQ1SalYavjayqVywxZIuwPZVJaR50aIh+PEw3FGnxutvk+pWIrx7eOkYqnq/z9w538456i38pK1ryI8o21JBU3T+PobPl0VtwCP/X0LP3zv12qeZ3c0Fox2h5V3X3oe55x/FnaLD1W6Wb9+E1f86fv0DTbXnsVqs9K3tg9vlxeX14Wv20fvUG/DRQgpJZlkvi76JxS9RtXlbRx9nQ2X10XPYA89q3vwdnmRUlbraad/Xyup+4HBAL6Aj66+LvrW9FUjtIqi0Lu6V3dOtluxu+wEVgUWJQsikzO+hrP5pWlDNhMhBMGTzsE3tBcIAULQuXYfgi85u06kGS0UNpNqrFj0kglvp7d6b8tn8jXitsLM6PxyxOl2MrBugKG9hhhYN4DL60K1qsvW1M8X8NG3po+u3i66B7prvgPLCcNFlJWivkwWlWAw2A18GbgxFAr9p4nnO4GX0bA4DYLB4IeDwWA4GAw+HQwGDfu7BoPBfYEPAT9uRtwGg8F+9DTmhsddDIQQbxVC3CGE2CKE+MjcW/Ae4GkhxE1CiI2LfX4zMSO4JiaTaKXGtXbNilPFohtJNarZW8w61gqapnHF53/Edd/9FeVSma5eP+d94gL2P+qA2vM0iGJWWr3MF70v6VjdeDGfI5tM4PZ11jzXaB8LQTDLxHD5zRnnRGqSyEikziQjMhrB5rARHav/bfN3dxIZi5LL5Pjaxy/nk9/8MO5pYquzp5Nn//0E0Qap7A/d/gDpeAq3T49mnvi6Q7npR7XZT76Am8NP2oRqVfnIZe/joi9eSC6bxzOPiJlqVedM33/0X9v4/iduIbwzic2h8qrzjuDMC4+elwiQUpLP5ikWilgsFpxuJ0IRFAtFxndMpbULIehe1V1NdRVC4HQ7DVNfFYuCv439cI0I+FyoFoXSDKFvUxX83l3n2G11uNjrZeeiaWUEAmFwj7E5bPgCPuLheHWs4hw9H0qlxqJeK2t63+Am6sxNmseov207yGfzpONppJRVw8P5fMeNFlGWSz3zSmUFuSi/HvAAIhgMqqFQqOFNJhgMKsBadDEcAOpWkydrc/8XffbRDVwdDAYHDXrYno8edLQEg0Fh1Oc2GAyqwF7A5YCl0XEXAyHEp4DPVP4EviKEeFhKebPRNlLKtwghfgp8DHhACHGmlPK2xT9bHVPgmphMYrVboUGw1siUaSYVx+GZNbCeTo9hHV87+dW3f8mvvv2L6t/RsQjf/ujX+eyVX6R/zQCgTybdPndDt+X59O2sQUqkgSHPzEUCh8tRk/JZwe5a2CTEYrU0TBdVreqSfAbtplQqNTY5khi2GVGtKv1DfTz9yDM8/cgzfOj1n+TCT7yNF59+HHan7iBstJgDIKeJp9d/9CTKRY1brr6PclFjaO9e3v/Ns+jwT4lZ1ariWaT0++GtUS678EYKOX2OUciVuO7ye3B67Zz6pkNb2peUkuhotCZLwGa3ERgMMDE8UZPWLqVkYucEA+sHllWUymlTOeOYjdzwz6fQJmeTiiI449hN2HdBP9ByqYQsa6iT3y1Fmfu96vB34HA79J7BioLD7Zh36YBR2YdFtZjidonIZoo8/vA45ZJk477ddHa1vtCSSWZqfjczyQz5XB5/39z922did9nxdfuIT0wtolht1mpJgcnisVwFbou8YvK/ZwGFYDBo9GMpqM2CbRRJ3Z/apfUBdDE8PstxLwLeHwwGjd5NZcY+Fz2CK4QYBD6JPkP2MrVmsGGubaWUdwB3CCE+C/xGCHGolPKZxTrX6ZgC18RkEk+nh2wqWyP+KrVRzeLyuqq1fVJKHC7Hkhg2AfzlmvqFtEK+wIP3bGHDAUFUq4q304tQRF1rE6EIOnsXZoQlFAWbw0EhV58yaHfWRr6cHieeTk9Nf0uHy4HPv7C6RSEEgVW6YKl8jlable5V9QZKuwOzTfwbOf5W+kvGwlMpmpHxKP+592Fe+eZXVMc2HrEPLp+bzIxFhg2H7Y27y1v9W7VaeNtnTuXNnzyZYr6Ew720UZC7//RkVdxO547rH25J4GqaxoN/f5zufm9ND85CvqD3jm6Qvi6lpJArGLYb2lUctL6XHp+LJ3fq85p9Bv30dS1tvWkxm+OuL3+fp2+5C1nW6D9kP17yuYvw9jeXnm6z29qy4GR32nF6nHVtmlo19SuXy+RSuWr0sNlFzT2dbVvjfPUzdxGL6Pd8u0PlPR87moMPH2h6H5WWWjPJJDJ4fJ75GVl1d+DwOCjmiigWBYfLYS54LDZy4f1mF5XmP/5DZmzV7Apno0jqI1TtFwEYBsIznxQMBh3AdJfAZlf8JLAU9RhvAu4Hvgf8P/TXM4zu9twUUspPCyH6gG8C9Q3nFwFT4JqYTFKppUslUlUXZY/Pg9Ji+41KlGypqbTFmYmiKHT31/b37B7oJp1IU8wXq86j7TDB6hlaw/AzIbRp6c5d/f3YZ7SBqNQ1un3u6nttc9jaIkJVq0rvUG81amxRLbuluAX93F1eV13Nst1lx+FyNOxb/Nff3VlXe7vfYXvX/O3xd/C+Kz7Bd87/H9IxPW1h1aY1XPj9jzV8ryyqZZdEMgsGNaf5BqLXiFKxzBff9j02HDDICWcdUff6jHpHA8v2uhnwexjwN2fGtRj87QuXE/rL36t/j2x+lD9+4HO85udfx7LQTJAWEELQPdBNKpbS+wYromVRVMgXGN8+XlPf3dXXhce3697f+VIqlEhEEpRKJaxWKx3dHYv2vdU0yXe+cndV3IL+vfzuZffytR+diqejuc+g0iquEaVCad6/pe1aRDFpnmUbwW3yNj6ZdtzcKl09das0oVDokWAweDFwCRAHzjdIPW69YbpOYon6454M/EZKeZUQYjN6ivTtUspWxfVngOeEEKullM2YaC0IU+CamExDKAJvp3fuJ7ZIMV8kn8svOCVvNg590eH86ap6l/pDX3RY3ZgQYlEmcHaXi9V770M6Fpt0UXbj9BgfZ7EmIUKIJXGtNqKdn7e/z49iUcgms0gkTreTzt7O6iKBalWrj1msFu68+Z8127/4tBdy5ltPr9vvvscdzP/+6wqeeyiE1W5l3cF7Leg9k1KSjKdwuZ1te+/3PXI1v/vx/XXj+x21uul9/PFnf+NftzzEqg2N27coqoLT5qzrqWuxWprus6qVNVLxVNUR19Pp2W0du+eikMrUiNsKsWe3M7LlMQaPPGhJz6fS59TbNb/79sTwRJ3Aio5GcTgdS+Kd0C6KhSKjz091AciTJ5vOLtgMStM00vF09dp2+9x6m7lIlpEdqbrn57Ilng1FOfDQxnP2mb3PhRAIRTQ0h2qUpWJisliEQiGNNuuiUCj0NeBrczxnK8vbJWQ/9FpipJQPAw/PZydSyhEhxBPA8cAv23d6jdl97t4mJrspyWiyxtXTYrXQO9jb9snTOz//brY9/TwP3/MQoE/8zvvUBRxyXGu1igtFtVrx9cx3EXT3p+Hnvbp33qJPKLqQbVRDJoTe23F6+4vv3fQN7rjpLsZ2hlm7cTXHnXKsodhydbjZ94ULFyQP3vsIn73wK+zYOoxqVXndu87i3Ze+HYtlYRPUg49bx1kXHs0N37u3Orbx4H7eePGLmt7HEw/oHQru/uODnHj2kdhniFaPz4PT7SQyEqmKXKvdSvdAd1MitVwuM/b8WI17dyaR0R2hW8z+2B0oGWSKABRzjevClytaWWvYuxz0yO7uJHATE4k6kVgulUlGk/Pqw17pHzvTXT+dSNM71IvVZvzdthoI02QsSXw8rpcJTN7XXF4XiqJQ1moDUUIIMwK7m7G7R3BNDOmmfWZWE0DzK9QLYPe5e5uY7IZUavymUy6WiYxG6B3qbeuxPB0evva7b/HIvQ8TC8fYsH+Q1cEluY+0RLFQrPYFXqwoaz6Xp5AtIBSB0+NcsNBqFsPPe6T9n7cRdoeNl7/mpUtyLIDhbaN88JyPk55Moy4VS1z9f7/G5XZw3kff1PR+xkI7eObeh1FtVvY54TA8AX1S/pr3HstRJ+/F80+G8fmd7HvkatQWIjueTj09fvT5Cb794V/yxotfQd/aALl0nsHgQLVfamAwUG31VYkuNUNiIlHXmqpYKJKMJhelF+6uxun30bl2kNhzO2rGLXYbPfsGd9FZzY/Z6jJ3t5pNI0fpRm3TmiEVSzVsHVfMF0lG9Gv74CP72XLfSM3jq4a8bNy7u267TDJDbGzq3lh1iKdxpwIpJcVCsS5FOR7PsWMkhddjZ/Wqxr2rTZaeFeSibFJPGWiXTf9807FbxhS4JiaLSCHbONqRz+ZrzG6kpq+W57N5hBC4fe55mVNZLBYOesHBLW2jlYpkI2MoFhWHv3fRJgxS6hOa6fWkHd0dLZl4NUMikqhpQxIPx+ld3bskxjHNft67E6VimUKuhMvbuBbu9t/dVRW307npF7c0LXAfuOF2rr34O2iTE11iLWdjAAAgAElEQVS3v4PzrryU1QfqrfPWbAqwZlPjFOO5OPXNL+KWq/9BIV8k9OA2PvumH6BYFD53zfvxdNamzzcTcX3yuShPPhfDqioctm8v0qC/crHQnr7Lzz0T48lHw9gdFg45chUdvrlrEqWUPHrfIwxv3cnAulXsd+T+bbv2hBCc9KWP8McPfI5MWC87s9isvOSzF+EOLH6rpHZSudfOdHRXbepu11ZGtaoN7z/zjUJPNwCcSbFQJJPM8Kozhyjm8jz6kH4dbNzHz7s+fDSqtf57ZNTjPJNq3BMdatvGaZrGLbc+xXV/fI7yZKR6/739vPf8Q7FbLVUPCqvdumLLA5Y7ppBcsWxH77n7t4XsRAgRBPYGdsz13HZgClwTk0XEKAowfVxKSXg4TC49ZdaRy+TQylrdBLzdJIe38uRvfkwhpQtCz6p17H3GOxA2J/mMLrYdbseCjUqklIxtG6sz9ElMJLDarG1zmi7kCzXiFvQ0xMhIhL61fW05xmw083nvLpRLGr/46l385ZoHKZc0BtZ1cuH/vJzggf16FL6oR+HzBmmpRuMzie0c57qPXl4VtwDpSIKr3/s1PnrHdwGIbBsjn84SWDeArUXhsW6/QT5/7Qf4wcd/xY5nRukZ9POWj5/BoS/et+l9xKMJ/nD1LTw+rjGqTgntP9y1lQ+dvamhzWY7sgb+ctPTXP3jzdXISIfvYS7+3PGsWWeccloul/nyu77A7TdMtRs88ayX8N/f/2TbMhm691rHOdd8mx33PUi5WKL/4H3wDixNhkK76ertQgihO99rErvLrte972YiydftI5fO1dQTW1TLvGuTjYyfYLKN1vAEdpvC69+yiUKhjKZJVm/oN3QdN+pxLhCoNrUuVVyxKDU9dx9+cAe//sPWmijhI09EuPGPT3L8IZ3VNl8W1UJgVWDR+vWaGLNcI7gmC+afwPuFED+QUtandTTP19HXQf451xPbgSlwTUwWEafbiUW11KVgeXxTqVX5bL5G3FaIhWPzbnbfDKVchieu/wHFzNRKfWrnVp747U/oPOrs6piiKAQGA4YRjWKhSGw8RqlQQrEo1ejz9AlifCJu6FabTWfbJ3ANIqiFfGFJIqhOtxPFotRNDh1Ox24Xvb32/+7m5qs2V/8e3hrjK+/6LZf86HRUdWoms/cBGxtuf/hxB3PHlm3885FhcsUS6/t8nHX8RnwzWg1tfyhEuUEa5cTWYcJbh7n+0h/x+B3/BvTI7lu+ezGbWqwbPuCYvfi/2z7Z0jYVxocneOepFxFJFtn0lnfAtOsoXyhz3Z3bOff4gZoJvFDEvIVFhZ3bEzXiFiARz/PDb9zHF771MsPtfvPD62vErQXBo7+7mw/d+V909vp50VtewUvOe+WCr0d7h4cNL33BgvaxHKiYtVXqVHe372kF1arSt6aPZCSpuyjbrHj93nkvatgcNnKZ+t+lijFUzXMn63HT8bShwHW4HA17dzvcDnwBH+M7xqsiVbEoBFYFqr8hUkoeejRcJ6AUAfusttf0sC6XyoR3hhlYN7BbLizutshlLHCnN+oxmQ9XAm8E/iyEeJ2U8vlWNhZCONHbC50O3COl3Nr+U6xn91qiNDHZzVAsCj2re6qryUIIPF2emtq8RvVHoKctN3KWbBfJHc/WiNsKqZ0htMLUxEbTNCaGJxquwJeKJca2jZFL5ygVSxRyBaKjUXaEdtSkIs9MAZyOaOMvj1GKabMTnVKxRHQ8SnhnmFg4NmsUw+g4jT6zbDpLubwUbv7t42+/eaRuLB3Pc/9fQzVjQ+tX8c6Pv7Vm0rvPIXtx5BvO4KZ7niWSzJHJlXjkuQm+//sHyRdr3we7u/GEWAjBH75yVVXcgh7ZveK8LxEbrmsluGhc/pkfMfz8KI6evoaT+6d2JPH2+nG4ddddp9tJ31Dfgg2Knn0q2nDCuG1rnJ1bHjLcbvOdU++XAFZZXXgtVvLJLKOhHVx76Y+45fKm2xfuMTT6bHc3VKtKV18XPYM9dPZ0Lihi39XXVZe5Y1Et9K4xjtRr0vh+6e3y1olft8+Nu8ON1WZlYO0Avat76Vndw8D6gZoFVd2Uqn6f/k4bfl99pLZcKretRMDEZE9HSnkrcAdwNPCQEOISIcScBi9CCJsQ4jxgM/CayeFLF+1EZ2BGcE1MFhmrzUrfmr6qQJw5iTIyWlIsyiKvQDcvnsulctUYajrpeLqxCJR6+w3VpmKz22YV6u2K3oIeDVCtap2xiqdzbjOSUrHE6POjNa8nm9TbbDTrhptL5wxT8Yr5IhbX7tP2opBvLMiLhfrxV73hFE581fE89VCIDn8Hh73wID7/i/vqnjcez/LY8xEOCU65bK8/aj/691nLyOPP1Tz3sLNP4L4b76rbRz6d5Yk7N3P0605q9SXNi6cf0V2YyzmDWkGtzHtPvoBNB2/i3Z97N93986sVnonT1bhmXKHMA1/6LBMvfzkHvO38mus6GU2iTfuuuRQVu1J/zd3yvRs4+T1n73JBN7NlzExSsRTJaBIpJTa7raHoMlkcVKtK/9p+MqkMWlnD5rDhcOk+MzaHjWwqW7fNbHXLlZ7FhVyh+lsyPY1YKAK7q/H2iqJw4N5+brt3nHJ56vpethHDPRTz81jRvB74F7oD8heAzwsh/oMuXp9A7wOcBbrQjaSOAo4BPOhrrRL4spTyr0t1wmYE18RkiTCKENgcNtw+d914pTZssfAObkB11h/X1r0axVZvmNeoJs0o+lyhMgkymrh4ujw43O0y59PPsWd1D3aXHSEEikWhw9+ckVViIlEn1kvFEslosunjF2ZpobKrxUSrNOo1KwSs36+xgFu3aQ0vO/tEjj7xcCyqStag/UomVxtZUW1Wzrvy02x68aFYrCpWp51j33gKZ3zhnYaLBUs5kfJPpq6mtm8jPVzvjTHxwN1se/p5/nr9rbz/le8zNNNplf0P6WVgsD7NOWh5CiEkz91yMyP3TbVPymVyxMZjHHfaVAsli0F2RCaWajk7od2k42l2hHaw85md7AjtqDM1io5FiY5FKRVLlEtlsuksI1tHdrtMiN0ZxaLg8Xno8HdUxW02na3zOQB9cXF6u7JGCCGwO+24vK6Wa2T32X8Vrz99DQ771O9QcF0nqq1+IUi1qktiKmgyRcVFeVn+29VvzgpASjkCnIYuZAW6fjwMeDvwFeCHwM+BbwMfB04CvEwlh/9KSvmJpTxnM4JrYrKLqdSA2Rw23dhJEbg73Ivu4qk6XOxz1jt54rc/ppjWfQPcfUP4jz6z7gfB5XU1jGLOOYmY3JG/z8/Y9rEaIxFfwDfnhGg+qFaV3tXNGd7IyV8/oQiKxYW74c6WEri7mZ6c9+mXML49zranJgD9PXrdRcewOljfj3dmFF5RBIPdHraH61PgV/fUG6f5+vycf+Wn0TStZiHogJOOZMsf7655rtVpZ9NxC+/d2yxvuuhcHrhrM5qmsfU317LqhJPwrl2HgsbE5vuI3P/36nN3PLODv95wK69666sXfFy7XeXizx7PTy9/gEc2D6PKIuvVEAeoD1afE33iCQaOOgagWsd/4DEH8Y5L38UvvnkV+Qbu1gCD+66rRkKL+SKxsF5Db1Et+Lp9hgtS7SKbzhIZnWqrKDVJdCyKRbXg9Dgpl8oNXXw1TSMZmV9fV5OFUy6Vmdg5UTeuWlUCqwKLuohntVk54cRNHHHYEOFols5OF36/i1KxRHhnmOKkm7lqW/xzMWmMGcFd2UgpHxJCHAj8BDiZqcgs1FY5T78S8sAlUspvLs1ZTmEKXBOTJinkCtWJoGpV8QV8bROhQgg8Pg8e39Tkf3hHkvB4ht5+N33983dTLpfKxMZjFPIFFEXB2+WtChLv4HoOveDTZMMjCFXFFehHK0sioxFy6RxCCFxeF529jSeUHp+HbCpLPtvYMbcSnbWoFvrW9JHP5NE0Pd3N2mDlfamQUhKfiJOKppBSYrVbDcVpK716nR4nsfFYXeRxMc3CFovOgJvP/+pcHv3XdjKJPOv266V/bSfJSJL4xGQER0BnT2ddbZ2maZy0T4Br7s2QK05FCk86bA1reo0XNWZmCZzz5feQiiQJ3fMwAA6vizdf/hH8TS5gtIMjX3woX//1F/nJ/15NeGSCITnOB84/i/eeeiGJSH0kKzIWabCX+dHd4+Ijnzmeuy65mPizz9Q9rrqmve/TLq8XnHocx57yQrKpDPf9+jb+/vM/VR9zdrh509ffD0ym5W8brZYQlIolxraP0TvU2/S9LRqOctV3fsGOZ3cwsKafN7zn9QTmSNOODteLJNBbfDk9zlkXldpZWyml5E8/+wfXf+dW4uEU6/Zbxbv/93VsOGCwbcdYyLlVUrQr90x/r3/Btd0LoZArGHoxaJq26P3GFUWho8tNR9dU5lHFXKtcLCORqFZ1t7vXrhRMfbvykVLuBE4RQpwLfAC9LncmAj1d+Xrgi1LKJ5bwFKuYAtfEpAmK+SJj28aqP+7lUpmx7WP0DfW1PTKnaZIrf7SZ2/+ytTp2yis3cu6bD2j5h1sra4xtG6upSZ2YnFxWRK7FasMzsKb6uEWFnsEew5rh6QhF0LO6pzoRm56y3NXbVTNJVhTF0GFzqUlMJEhGplKPi/kiJaVUux6JnqLXihuuRbXQO9TLxPBE9T33dHp2acRJSkkul6dc1nA4bKhq87d9q03l4OPW1Yx1dHfg6fJQLpWxqJaGqevxcByfVfDGIwd5ajxNoSRZ5bNz8L6tCVN3l5f3/voLjD61jVwqS/+mIRye9tVsN8vRLzmCo19yRM3Y+n3Xs+Ufm+ueu2HfDW0//tqTT+HBH3y3ZszicDJ43FQ6ssvjqrmm9cUpN6/66Bs57NRjCN33GHaPkyNedTz+Qb0GOhVLNayPT0aS2AfnFrjRcJS3nnQew88PV8duuf4v/OyvP6FnoMdwu51PbqNvY30KfPi5EfrW9M16jbZzYezWX9zLDz8xZbj19JZtXPray/nGrRfTM1ifqbCUpGIpYuOx6t/5TF7/zVnbt+hCcj7sSlEphNilwt9Ex4zg7jlIKa8BrhFCrEKvtV0HOIE48Bhwt5TSuMn1EmDeEUxMmqBidFKD1Me7B7pb2lc2lSUV1yeWdqedDn9HjZnUX29+pkbcAtz8+6cZWuvjuBPW0AqZZKbOcAn0tj1zmTs1O2ERQm+J4un0UCwU0coaVpt1WZvBpOL16Y9Sk3R0d1AqlKomKB3dHS2/DpvDRv+6fqQmEcqudWYtl8s8t22YTFZPXxVCMDjQS6dvYS1sFEVBsRlbOFTagbjtKoes9tWMu1oUqEII+je1dt0vBRdd9kHef/r7SEan2gKeeMaJHHfa8W0/1tAJL0ErFHjqhuvIJxJ4h4Y46IILcff1V59jc9joHugmMhqpilaPz4PX72W/Ew5jvxMOq9uvUQ19s3WuV37r5zXiFmB8JMwVX/0p//21jxpu9/zmJ+nbuLrauqvy35Enn2f/4w+uulFn07VGRkIRLZU1pBNpUpP1xjaHTXcWnvZ9vuknd9Ztk4pnues3/+as97606ePMpFwqk4gk9LRvq4WOro6WBVij2v9yqUw2mV30/uhG2F32hm3vnG7nbtc32MTEZOFMRnRv2NXn0QhT4JqYNIHRhK9Vo5ZUPEV0NFr9O5/NU8gVCAxO1Qxt+fdow20f/PdIywLX8LxL7TeYEUJgsy99namUkng4XjW0cnqc+AK+WYWlkauzoigtL1g0QgiBsOz6NLmdI+NVcQv6e7V95yjFTB7Votc7VsxjFoKUklxGbxWlqqphz8GVlDq4fp/1XPG3K7j5lzcTj8TZ++C9Oem1L1uUKIYQgnUvP5V1Lz8VqWkIAzHh8rpwuB2US2UUizJnpM9qt0IDD7VmDXq2PbPdYHzbrNuFtw6z5ea7OfiUYwH99T38l39RSE0t+Hev6iYejuumXVI/p67eLpKxZPU683R5DF9jOp6uqfOttDHrW9tXFWOZRH2fV4B0ot4huFnK5TKj20ZrerNmkhn61vS1FH3WtMb3aKPxpUBRFHoGewgPh6t+Cg63A3+/f5edk8nyQEpYxK6GC8KMLO+ZmALXZI8hn8uTjqeRmsTmsDXVOqaCzW6rmrhMpxWnxooQm0kukyOfyU/VqxoII2UeLYOMJlQryWEyMhKp6blbSZWeTajanXZymfrPc7GMoHKZ3JQAdzvb6hw9G8lU4wyheDyJXVFJxVJ09nTOmob91Obn+dsN/6ZUKHHQcXtx7GkH1XxvpJRM7JyoibYpqoEA61j69OLFpHewjzd/5C0APHDHQ7z9mIvZ8cwIgYEuzvvUuZx0znFtP6aRuK0wV3R9Ot5OL9lUlkJuyv1btapNuY4D9A/1NxwfGBqYdbvTPnguX3nlxdx/wx10DfYS2xkml0hzyc1frz5HCEFnT2c1vV8ra4w+P1qTkZJOpOlb09cwyyIRSdSNlYol0vF09Xrf+/B1jO+I1j1v78PXzXr+s5GKpmrELegLaomJREuLZxXTwUbjuxKr3Ur/2n59cVfMbqxnsmdhCsk9CyFEJ3r7oFOAAwA/uqnUM8BdwFVSygeN97C4mAJ3CQgGg/sBvlAodPcczxPAmcDtoVCo/lfXZN5k01nCO8LVvzPJDPlsnu6B7qZErtfvJZvOVp0aQRePraTLVXo+NqJUmpq0Hf3C1Wx+YKTuOcccN2df7TqcHidOj7OmZ6FQhKFp1O5GqViqEbcVMskMvoDP0CCqq6+L8e3jNZPldpqGTWdm1L4ZUdkujC/tqQdi4zGcHmfD9+qePz3EZRdcWb1ub77ybs56z4m8+ROnV5+TiqXqUkm1kt7bVGoSKSWKRcHf71/SCH8uk9MXtKReCuD2uUkn0vp3QerfjZmLXMVCkVQ8VU2zF0KglTVUm4rL6zK8Vzy15Vk++fqvVqNa4eEoX3n393B3uDj2lPrU4Hm9lkS6WtbQyuLcbAhF0Lu6l3QiTbFQxKJa8Pg8Tfd9PvNNr+bP195CPDq1cOf2unnFa0+t9rdtxOC+6/jYTV/l5m//mujOMBsO35vTP/x6OnqM614TkURduUUlFbirt347o/Tr0dEJpEXQ0eHh/M+fydbHdrL9qamsmVe87TiOPHn/WV/3bDQqCTEaL5fLFPNFFItSvd4q+Ht15/npr8PmcfKPp7ezYyKBqijss7qHQzesWvLMCCHEsi5BMdk1mPp2z0EI8WHg00DF8W36TSiA3gf3w0KIG4B3Sinb577YJKbAnYVgMLgefXXidPSVCTv6h7gT+ANwdSgUeraJXX0HeHEwGLwZ+BVwN7AN/X7QCWwCXgz8F7rz2F/a+0qMCQaD5wM/Ak4MhUJ3LNVxl5rYWKxuLJvK1kROZ0NRFHqH9IlgJT3O7XM3XXdUKpaIjhmvWVitUxHVY49fTWQiww3XPEa5LFGtCue++QAOOWL2qEgjhBB0D3STSWYo5AooFgV3h7slZ+BmySQzer2bpmF32PEFfE1PlKdTWQhQFKWmNrkRs/XhLZfLhq9Ttar0re0jl85VHUoXQ3xpmtbwc4+Nx3B5XYs+SfR1eIlE67MGrKL2cykVS3XvVbmscflHfl23KHPD5bdzwmuOYM3eevTOyEFbK2t09XXh9Oj1eUs5CU8n0kRGpn5PK3Xv09tU5bN5SsVSVRwVcoUaI7lG+yw7rRRLZTrcTjo9U06uf7r6jpp9V/j9z25tSeA+uzXO1ufiuN1WDj6wB7tdJZPMVI3hKq+lkCvg7/e3TeTOt6bT1+njyz/5Etf95HpGto/QM9DDa952Nj19AcLDYXoGewzPcXCftZz33YubPpaRe3Kj8Uwqw/joBIHeqdTZSp1vWWrs2DmK3W6js8fLV//0Qe69+WHiEynW7z/IgS/Y2PQ5NWK2e07NOSYzREYi1evN7rQTWBWo3jNVm36PyiazaJqGarPypwdDjE3zD7j3yW0USmWO2bu2dEVqklQ8TqlQRLVZcfs6zBpZk0XHjOCufIQQfnR35BcxJWoljdc3BHAWcIQQ4hwp5X1Lc5Y6psBtQDAYdAKXAu8Hvge8JRQKPTn5mB14NfA54NJgMPgF4IuhUGg2Vw5l8t8rJv8Z8QBwaigUalAV1X6CweAg8NWlONauREppuKpeLBZx0Fy6qKIoeDtbj7ppZU1fiS82vkRcXhc255S4EkJw+pl789JTNhCP5ujyO7E7FvZVFULoNXmqZV6icy5mRimL+SKFfIHeod6WJuG5dI6JkYmqqPJ2eWetp7XarHXOxwCI2kWDRiiKMqfR1kIpFUuGy9qVvqOtIKWkXCo3HUHp7+2mXNaIJ/RbigBcihVlxvvZKM0wMZEiGW2c4rz96bGqwJ1t4lzMF2taXy0FUsoa99kKjQRoKpbC2+VFtapEx6KG4hZ0g6wd4xNE8rqg3zDQyz5rVwGQTTWu5cwkm6/l/O3vn+LGm56u/t3f5+bii44kG61fIMkkM3g6PW3JOCgVSyQm9OioRbXQ0d3RdK2oUAS9Az28+xPvqnssn8lXzdragZGz8szvQbFQ5L1nX0wymuRz3/04ng59IUIIQVErU0bvfZ1KZ7DbbThcdl78/9k77zi5ynqNf98zve9s3yS7KScJhCSEhAAxdAgigoh0EVCxoZfLBRVR8CrqVbG3awUEr4iAIohIDSAd6YFACkz6Jtm+0/t57x9nZ3Zn58zs7O7sprDP55NPds6cc+adM6e8z688z5mHVmWMAG6/m2g4WnC/F4rAWzdY7ZNOpQuCFqAHXPo6+wrKmE0mUz74sKM7WEBuc1izeReHz2vNt7BomkbH1u0kY4PnXri3j+ZZbSj7WTlxNqPx95te5pl/biSTznLwyjYu+PxKHK59y3N8f8EUwd2/IYSwAn8HVg5/C0gD3YAdPXE3dJIxE3hYCHGolLLY726CMEVwh2GA3N6HLnt9SiAQKJBZDAQCSeBOVVXvB/4BfANoBC4bx8emgZ8AXw0EAtUz+RsZvwEqa7bah5EjA0bZvtFYpowV8UjckNzmesxKeaQ6HBYcjvH1ykop6W7vLug3jfRHaJzRWFWia9RbnEqkiEfiFZPIdCpN186uAkIY7gujmJSSpeCKSaG2qbYgWwdQ21Q7IUR+tCjXnzZ0Yr52TSfPPbODTEZj4eIGjj6ureicSCaS9OzsyZ/HDpeD2pbasgRTURRapzfR0lRPVtOI9oWJBqMF6zjcDkOFV3eNE4vNTDpZTAxrmwZ/j1zpr+Hnj+I3SCXTBN7cjBACdeGsMdvBSK10K4ARciTMiAAPh8NkRm8xgk27Oqn1umn0e1lw6FxW3/l00foLD59f0RjWb+wpILcAuzui3HbnOj54grHdTiaVGTfBzWaydGzrKDhe8Wi8YkEkt89t2CKQQ04QSctmefvv99G55g1MViuzTzqRlsNHRyo9tR6i4WiBQJwQxarKzzzyPG+8+CYAn7/oWn705+9gs9vIIsnIwe8pSimhjRMmk4mm1qZBFWWzCYvNQiKaIJvJ6v3/BnoOQFGpf8F7JTLYmpSks1lsin4Nh3p6C8gtQCqRpL+rh9rmkW26MukMUhvwkx2D7sNk4k8/eoaHb38j//rxv71Fx44gX/716WPSrJjCFKZQFr8Ejhz4WwIPAH8FHpdSbsmtJITwAIehZ28/gs4zfMDfhBArpJTGN8AqY4rgFuNm4ATg2uHkdigCgUBEVdVzgY3Af6iqel8gEHiwzH5/i16WvAq9Pl0C7cDTwB8DgcC2an2BSqCq6oXopdfvCvjqfUUkyOawlSxPllLmJyQWqwWrwzrmcsBylhsTbfcQ6Y8UiSmlk2mC3UH8TdXxeSzXW1yp3QjoWSmjbGc0GC3b65wruc5NGu1uOzZ79XtpxwKTWc/ARPoLMy9OrzNPKp94bCs3/27QT/Xfz7azbWuQCz92cH5ZNpulu727iIj0dfRVJFxjNpswY8La6MdsMeePtd1lx1dnnCG3WM2ce+VJ/On6BwqWL1+1gPnLBksibQ4bHr+nyNZEKAKX10Ul2PTWFr78kW+xa6veCzl9dgvX3/Y1Zh3QWtH2wz9XUZSK1WZzGUaTxYSWLL9NZliKoi8cpdHv5YiTDubfjyzhhdVr8u8dsHQ2F1z5wYrG8E6gOOMMsH5jLx9a1WT4XUyW8Wfjwn3homt3NIJINqeN2ubiABPowQ2LxYKUkhd++DO2/eup/Hs7nn6Ow668jNnvrdyKx2wx09TWRKgnRDqVzothDSfinTu78n93d/Tw+ANPc/wZx+VLlEEnxu4J9FM2mU34G/1ks1m6dnQVBIBcPlfJ4EE50l1f4lpy261YhwTLUnHjuWMqUX5OqWkavbt783oNikmhrrlu0gTxRot4NMUjd64tWv7WC+1serOTuYub9sCo3r0oVaO6N2BvHde+BCHEIcAlAy+fBD4lpXzbaF0pZRh4DHhMCHEtcB16Rexi4Arg+gkfMFMEtwCqqi4Hzht4edtI6wcCgS5VVW8GrkT/8coR3N2BQODbwLfHPdBxQlXVRuCne3ockwmXV++XzfnPWh1W3X/WYGKvaRrd7d0FvYUurwt/k39MJLeU6qXFXjjJkVKSSqSQmsRit1RFnTKVTI1q+VgghMBsNc6AGU3kpNRLBIuyAyWeQuXKRnOwOWwTIhBVDeS8N3PiRna3PU/YMxmN2/7vjaJtVj+4meNXzWL6DH29ZDRpGESIhWOj6sXMZbwqFUc7+z9PpKbOzWN3vkiwL46nsY5ZK5aw+e0+1AMGCVBNQw0Wm4VgTxCZlVhsFmoaayoqT02n0gXkFqB98y6+cuG3+OOzvxp1iasQAl+Dr6BkHvRzcXi/pq/el8+k++p8dO/sphSymkZvspAkmAaEtFKJFJ/5xvkc/YHl7N7WTV2Tj0UrDqg4R2gv0YLgsJupaawpIpAOl6Pk+d4bSvCPpzfT2RejxmPjfUfMpLVJb60YSvKgtCBSuaUeOfEAACAASURBVN724XB5XZhMJrraB4mlUAT1LfUIRdCzbkMBuc3htd/9nlmrjh9RFXooLFbLiMR75rzCftTbfnEHHr+H5cfqGWNFUZg+vRHrkHtTXzjJU6+2E46mmdbg4uil0zBXoQIk2BUsECYEPWBXU1+T9/8dCofHUbSPVCKVFz5bUO9j3ZBqGZMQrJjdUvCbKiWqkkYqT+7v7C8QI9SyGt07u2me1Twhmg3jRTSULGn3Fu4fu83TFMaOvdUmaApVwafQy45/DnxeSllRBFlKGQSuFEI8h86rLmOK4O4RfGDI3zsr3ObfA/9Xr4ln4vEroPhJup8jpyg8EoI9wSLhnGgomldiHS3sTntRFk8xKdQOEUDJpDN0t3fnJ+A5cahKxjscyXhSV+YsI+xT7fJdf6Of7vbuggmb0+ssmoSH+8KEekJomobJYqK2qTbvw2pz2sBAZ68aPq1DIaUkFooRG7DQcbgduLzGZeLVQDlSGexPkEyUUHvdHc0TXLmHYtBCCE76yAoSJg9/veUNohHYfe87PHpfgEuvfg9HHDtIJlxeV8UZ26HYvH5bAbnNYUdgJ9ve3sGcg2aNep9un+6PGg1FiUfjvPzEizx612oOPXY5J555Ek6vE4fbgXNIFs/hdtAwvUHPamq6yFkmk0HLamSBTcF+0kMyqWaTwrS6mnynkRCChYfNY+Fh8wYHUuEpddiyZv5+39tEIoVk6Phj2/LBuaEqyp5aj+H52h9J8sPbXiEU1QNYW3eHeWtzL58/cyGm9GBPrL/Jj91pNyxNh9JCSaVgd9mZNmdavlrE7rTnAwfRjk7DbdLRGKlIBJu3ciX6SnD4sYfyvnNW8eBfVgM6QfztN25g0V3zOWjZAqxWS0FZf2dvjB/88RXCscFj/+qGLi4/f8m4SW4yYSzAlk6nsTkLS5UVk1LQpwu6JsHQwIHqc+OzWuiJJzEJQYvbgSOdRdO0vDCft9ZPtD9YRJ69deW9amMGlmK5SqaJrjQaC/wNLjx+O+G+wqCTYhK0quP3Mp/CKCH34h7cvXVc+xaOB56WUl4xlo2llHcKIRYB1wohDpsMwakpgluIoaZ+04FKFJJzZnsT7/lRBaiqeiZwFnqZwLsqi1spUjHj7GYynsTlc5GIJfRJcEbDYrMUZIFKwd/ox+6y60rGA+JGQ7fp3d1bkF2SUtKzq2fU0fNgd7DA/7HUuMYilgV6VD9n+zJ0gm132mlqayIaiuoqyg5bka1KNBQtEP/JprN0tXfR3NaMxWbB7rTjq/cV9PPaHLa8D2a1EOoJFRyjRDRBJpWp+udUAo/XhsWikE4XB0PrGwbJl81hM8z42Jy2CVcn7tod4a4/FGaZNU1y889eZNl7pmOxjq/SoFyv3Hi+m8Vm4ZG/PMQt3/t9Pov25gtr+dvv/sqvH72BuubiSbDdZTcsyZRSknFYCLR3kM5mcTvsHDynFedAKbzdZS/qqxSKqLiqwOez8aUrD+emP7zBtu0hHA4zJ6+azftOmg1UHpx74tX2PLnNYWadHeIxcmGUTDpD144ummY24fV7iYfjBZlcI6JVCUxmk2GAw9VsXCpqcbuwuqtPnIQQfOPX17D8qKW8/sKbuDxOTr/w/cw9aE7Bejt7I6zZ1MFzr3YWkFuAjdv6efb1XRyzdPqoPz+d1di0q594Kk19iZm1ltGKzhctqxHpixTch4wU2OsdNuqHnFdSSnZt3pWv8HD5XDTNbKWvs4t0KoXZYsHf1IDdOcL5U6qCZi9lByazwqXfWsVPP/8A6dRgkPDCLxxJ/bR9Yjq232HvPFOmUCXMZvwVqD8EvgAsAaYI7iRj15C/L0YXkBoJuSfgW9UfTnWhqmotevb2dnQltCmCa4BSwhpCEUUR9VQyRTKepKmtacSsqMPlwOEqnmRITRparUipL6+U4CZiiQLiBnqpYa5EOid44qv3jbqvSssO9GcNiKCYrWbqW+qx2AbL/Cw2S1mSOLwPFQCpE9/cdt5aLw63g3RS9+S02sfe+2yEbDZbdIxAzyy7a9zjLsXLWxyZKrPFsVpNnH3+Qfz5j4W9ZCuPnkFr2yDJMFvM1LXU0bOrJ09yLTaLIUmrNnZuDxlG5uOxNH09cRpbxkdSZh04k5nzZrD17R0Fy+csmEnb/NF7P4NO4r5y7pd4+cmXit6LBCPc/vPb+MJPKreoEUIwZ1ojs1sa9ADPsLLa2uZaenb25K9jxaRQ11I3KpXs1hlerrv2SLJZDUURYzrvOzqKxd6WzTLWEYwGo/jqfTRMb8j74JotZjx+T8lxJ3p72P3Ss2TicfzzDqTuoIMN1xuK2gPmMfOEY9n62BMFy5d+5hOjKk8eDRRF4YMXncoHLzrV8P2323u5/cl1aFLS028s3rSru7R4VilE4in+8OhadvfpPbdz61ycMLdQJEwIUTKzn4wNPgfKqf8Px9D2hWgwimJSaJk9c1Rjd7gdxYJhovoVNNXEkiPb+Pbt5/LiowEyGY3FK1qZf8jo7fSmMH5I9t4M7l46rH0NAhiXArKUMiSE2IiuQzThGNNsTghReYPOnoGUUo7luw1NU1yjquqWQCDwhxG2OXng/1+PtHNVVa3oxPlDQOvAvxTwNvAw8NtAIFBcq1c9/AwwofcLj76W8F0Cd43bkHC6fK6ivj7QJ9PRUBSPf4xR4zLz2NFMclMJ48xzJpVh+tzRZyKGorejt0DhM5PK6NnXWc0V+yuW6pcavtxitYxZQbcUspks2Uy2rLrueC1NoqGobjWj6X2OvnpfRefEyaeq+GvtPPPUdrIZjYUHN3Ly+9Wi397hdtAyp4V0Io1QRNXJfynU1BpnfhRF4PHZSISiPHPD3XQHduBtrmPFx0/H31q5wIvZbOK7t/0311z4bbZs0LX25iyYyXdu/eqY+9D/+Yd/8OqTL5d8f/e23WParxDGxNNkMtEwo0FXoJUSi8UyZgVa05BAWSwS00v6s1o+gFTu2tj69EvQOq9gmdVsfH3GI/F80Mlqt1LXUlf2/A9t3cRLP/oWmfggCZp9yhnMO/PDJbfRNI14JM6BH/8Ynpmz6F2/DrPNxqxVJ9B86CGAHiTMZTMdLkdB0GyicN+L76ANzMZNJkE2U3xvqnGP3mrmvhcCeXIL8E5PFLMiOFptQEiJxWrB3+QvqTw99Jwpp/4/EmKhGDX1o6tI8Tf6yWay+WefEILa5tqq34urjWmz/Xzwk8urtr+tnUHe2NKFJiVqcw0HtdVPqof3FKawl2I3UA3ltgxgkO2oPsY6m9tfr/Z7gR3ADMAK3KKq6ieBHwD3BwKBgnCqqqqHAKcDdwC/H2HfBwFPAX8Ezg0EAtGBfawAfoyeLb5aVdUrA4HA76r3lfJjfT9wIfDhAXGsKYJbAk6PEy2rEewJomUHekUba7HarCUnG2OZhOQghMDpcRZNehSToveljmI/hsvHaZeQm6QORzaTJRlLVtwnbHPaikR+cssnEsGeIKGe4qztcIyH3CZiiQIhoJwXq8lsqsgm6fD3TOfw94wchDCZTJhck+tl2TanhmUrp/PKs+0Fy085+0BENsXvz7ma7k2D762990ku+cv11M2uPKjSqk7nlqd/QfsmvYhm+pyWcYmsBd58p+z7TTOqr7AqhKiIDGTSGT2YYjWX/Y7xSJyenYNeqdlMls5EJ80zm0tmWHff9xDWs3yYGgftYHZ0hJheW5yFG3rPSiVSdO3oonlmc8n7xdpbfl1AbgE2P3APjUsPwzd7ruH+O3d05sXnPIccSvOxx+BvHBTri4VjBX6wwe4gdS11E+pPncpkCQ1pQ3H7FHo7C+/ffq+NI5eMPhO4uaNYDXt9V4QZ0+s4ZlFrgYqzUUVLTuMhJzjo9DiL1MnNVjN2l11XCs9qhvupRJhvOBSTQsOMBtKpdF4obm+wWptMvL65k7uf25h//WqggyP7oqw6ZNaeG9Q+hL01gzuFquB5dK2he8a6AyGEBTgAWF9mHS9wiJSypItNpRhPPZ5kPyO6gUAgrarqpeg/YO7YHDXwr0NV1VuBWwKBwFpVVQ8G7kK3/7kiEAiMdGmfA7wvEAg8NOwzn1dV9QTgOeAQ4LeqqroCgcBPqvW9VFX1Dozz74FA4PZq7Xd/hrvGjbvGXaQ6araajf10S4i1VAp/kx8pZZ5Imiwm6lvq8xPgnDBSMpFEURRcXldRpsPpcRLqDRVlKcctEFLmzB7NRMpX7yOVSBVkmt0+95iEtCpFLByriNx6a72jKict+pyQcUYmGoxO6GR9MiCE4HNfXsk9f1rLGy/tRjEJVhzXRrjvTa4+4Xrq+gt7CePBCI//9M+c/bMvjupzTCYTbfPGVpKcjCdJxpMIIXC4HdTU6xZYguLTt76lgQ996syK9tu+O8JLazrIapKF8+s4QB29tZaW1YhH4/ns2NDey5rGmpL98Eal9FpWIxoqbZtls5qJ3PYnrMsORamrRYbCPHjTWpb88WvYRzgPM+kMyUTSsCRVy2SI7DB2sgtt22xIcPu7+ouU1aPBKHanPR9ENLIX6u3ozRO4iYDFpGC3mkkMjM3mUKhtgkhQw+ewMavFx5knqLido8/gWswmMPCNtphNBc8Rq91K/bR6ejt60bJavuLD6XEWBQZAr2pRTEpe/T93bJKJpCHBNWqFqQRCCKy20X/vSiClJJPKoGla/vvsTchmNf75YqBo+TNv7WDpnCbqvO86Xc5Ro3L38Snsg/gr8HMhxDellMZ9HSPjE0Ac3UKoFA4HHkKvNh0XxjMr3wx8Gii+I+wZKOhE9PcDf48JgUDgnwP+tr8BhrqiN6E3R39BVdXXABU4LxAIPGCwGyM8MpzcDvnMhKqqX2bQZuj7qqr+KxAIvDq2b1GEHwFu4LNV2l8ea9euRVXVMW8fCOwtp48xhmdFaxpq6NzeWVBWa3PYKlKP7XxjLa/97mYiO3fhamrk4EsupmX5MkDvGaufVk82m0VqEtOQCZGUkt6O3gISFemP0DC9oSD7aTLrZZK9u3vzKsoev2fspdMDUEwKVpu1yFpIiMpFdHLfsbG1UfcXzur+whNt7VOqFNBis+Qztg63Y0wkNBFL0N/ZTzqdLulfOZZMymQjm8kS7A6SSqYwmU14/d6irLrFauKcjy/hnI8vAeCmH97Mb777O5a4vNTZio9d39ZdRcsmCqHeUIEwWbAnyMnnv4/7bvn7AEmU+WjsipNX8pErLqZhWmOp3QGQyWR4dc1ubrhjPZms/hvet3oz558+n/ceO3Jvo6ZpvLj6dTp3dLPwcBVLiQBYf2c/FqvFkFSW8pAuVy1ywsWncO9P7yD17+fzy3yNfppmNmGx28ikMygmxZBYQunzVZhMmJ0uMrFo0XtWtzHZLqUgnMtMJmIJw8+Tmk6EStmrjRdCCE5YMpP7h5AZm13hwJl+Ljx+UVnRs5GwfG4zj67ZWrDMbjWxsK245czhdjDNNU1vaRjSc92zu6coMJBOpWmY3lCknWCz2/A3+gvEqCZCmG+80LIa3bu68z3GufLnvSn4F06kSJW4tnrC8UknuOOZV3k8Hswl7KImEvvA424KY8ddwLXoFaf/OdqNhRALgP8BrhrBYmja2IZXjPFcAX+VUpZj4XsCm4UQV6BnQseMQCBwt6qqjwG3AqcZrJLb/12qqt4IXBcIBIxnDDqSwBNl3gd4BOhGb742A19FVzseF1RVPRH4JHBJIBCYvFnnfgqrzUrzzGYi/RGy2SxWmxV3jXvEHp2+dwI8ee030DL6xCW4ZStPX/dtjvvet2hYeFB+PZPJVBS3SsaTRRlCKSW9nb20zCoso8uNb3jmebyoa6mjq70rL3qSszEabdYzl2Hb0zCZTdRPG5x0appkV3uYbFajZZoHs6V8jCyVTOliYwMP9FJKo6MV85psaFmNju0dZNP6xC6dTJOIJvA3+UtaJ2XSGW7+yS0AxDXj55RvenkCOV6kUxm6d4axO01E+guFlaQmMVnN/Oz+X/Lrr/4vm9/ahK+uhg9+4kwWHbFYt9kpoyIej8To2NHBH/62KU9uc7jjHxtZtriR+hJ9yaAT0G9d8guevf9lLv/BxSXJ7eDnxQ0JrtVmJZ4ubg0oR/zOvOpCshmN1b//B8lYglkHz+XTP/8C3iH9mFJKQr2hIhJVKnuXTqaJBCM0HbmK9kf+XvCea9oM6hcvNRyLoihkKSYMudLavq5iPYP8OhOc3TtsXgsOq5lX3tlNOqMxs8nHsYtax0VuAY5Z3Eo6q/HsunYyWY16r4OzjjwAn8s4kCeEQJgGP1NKWSA0NRT93f00u5qLlrtr3NhddtIpPag5Wb35o0FfZ1+RgFbPrh4sturrLYwG0USS3lAUk0mhxuVEUQSagVaEd0g2P5vJEgvHdLcAu22vv8dPFiR7r5jT3jqufQlSSimE+CjwlBCiF7hOVhjBF0IcA/wJ+IuU8uYRVv/ACO9XjPEQ3DerNYgqYy3jJLiqqi5Az+D60LPCTcBFwPvRe3NzcKBHMs5SVfXUQCDwWoldfgnYXu4zA4GApqrqi8ApA4tOU1XVEQgExuxYPtBnewPwUCAQGOmkGhMWLVrErbfeOhG73mthtphHHSF/574H8+Q2B6lpvHPv/QUE1wg5i5PhyKQyJYlstSc4ZquZpplNpBIppCax2q2jJreaphELxcikM5it5gn1ns3B4XYY9g8PJdl9vXF+9r3n2fyOPuGurXfwX1evYNac0uWo0f7oiE9Nh9sx7uz5RCMSjOTJ7VD0dfQR6glRP62+iFCFg2GSA2XmmxNRWq12nKbBR4nVaefYy8+fsDG/9uRmfnnVfUT6Eyw9biYf/sJ7itbRhdVm8J07vq+fd+EY2bTe9zrcvmoospks3Ts7CUXTxBLF5F1K2LE7Upbg3vv71Tx7vy5wNWdh6xi/pV4tkkqkCjK2Dlf5agPFZOK8r36cc6/9GNl0BrMBeRBCUN9ST1d7V37fpQJWyXiSrh1dSCnxLDmKpiz0r3kemUnhn3sAB17wcUxWY8LtqfHQ21EY9xWKwOnV9Qa0jHFwxOF2jFvNvBIsmtnAopkNI684CihCcNLSWZx4yEwyGQ2rpXr98uUy92aLeVKO2VgxVKBwKBLRxB4juNs7e3lp45a82JjTZmXFAS08u25nwXoL2+ppqtErtNLJNJ07OgvagDx+z4RkzMdT3XbhhReyfn3JNscpTGHUEELciF4du5WBBJwQwtjkvBAW4D3oM6YDhRDlEqNNwAKqFJMYzx1x7cir7BGMa1wD/bB/B7YBKwOBQC498DdVVeuA84CPoteJ5zANeFBV1YWBQKCHYQgEAmsq/PihEtxWYBnwzCi/wlB8Fz0jfNw49jGFAUgpQY5NtCkVMRaNS4VHFpMrRSRNw/q6JhqKoozZMkLLanRu7ywQmYoGozTMaJiwXjvQ+5IzqUxBP6PH78mXlEsp+dWPX8iTW4De7jg/+c5zXP+Lk3A4jCdfWonMpcVmwVvrxWwxY7FZ9rpMynCUmzRnM9m8UvZQMSRfrY/axlp6O3tJS8lToV7mO1y4TWYOf+9K3nfVR2mYN3ZiVw67Nvfy48vuJp3Uxx2PGCuHIwaDPIqi4PZV1oeeSiSRUuKwmRDCuOTOO4K67vqXBiem8WgCT0359oVSFQ1mix5UioViZDNZLDZLWXL+zpp2/vz91XRs66Ox1c8FV69i7hJjoS+LzULzrGaSMf372hw2w/tMX2dfvoxYCEHtoUdTe+jR1E+rH7ESw+Vz5bPF2WwWq9WKv8mP2WIuWX6N0C2X9nUoQoyJ3AohsNgshkHNPVFyur8imkjy4obNBbPoWDKFz2ziA0fM5Y3NXWQHVJSPWjgjf83leqaHItwXxuFyTLhY4r6AfaElZwpjxpnoST/QO34WDPyrBDk5jGMmYFwlMdY7pgasq+ZAqoi3GKP4laqqLeh15m7gk0PILQAD5PVXwK9UVV0F/JzBH7gJ+C/ga2McN0B42OsxS32qqnok8B/AZYFAwFgdZD+B1PRJVCKWQAiBy+vC6S09ERz1/qWkv7tfF/OQg/6jo7GzqJ03l/Znny9a7p9fLM4yHA6XA6vdWmQD5K0z7n3bGxHsCRYpKKcSKSJ9kQn9HjnxFneNW88cW8wFE/lwKMXGdUUxKfr7EgQ29rJoifElaLVbDft7cwI6+wpGyp5oWY1kLFnwnRRF4Ws/v5arLv4y6VSalNRYGwvz8Ss/ykVfvXRCx/vyY+/kyS3AO2s62Lm5j2mzC7PtnhrPmK7/XPDKZlE4YqGP59cWlj8fNK+WWTPKn6+uIb16j/7lOT58hVGXCyDA3+AvGzQymUwFVQDRUII/fu9J3nphO1a7mWM/tJBTP3YoOzZ2ct15N5NK6FUindv7ue68m/nOPZ+i7UDjc1hRlBFJ6vAy5hzSqTQORm41yIn1DUepe6fNYZuQgFcimiDYE8yrV9c01EyImJKUklg4RiqRyosBjiRAKKUk1BPKZznzavPDuIK3ft+53w+H0+0kGirs3xZCjFkMa7xYt63TMEUUjMY5bkkDy9TiUnCgSIdi6PIpgjslMrWfoxeoYfDONNoH7KRH+8dKcN8jpUyMvNoewZPAijFu+zn0H3BHIBB4rtyKgUBg9YDFz4Po6XeAkzAguKqqeoDjgVggEFhdZrfD7w9jSpepqmpHF9t6Cr3Uer+FlJLuXd0FyqTJeJJsNltSaXS0CHYHifQNZlpzZUrDM1vloJ5+Ktuef5Hghg35ZZ5Zs5l35gdH3FYogobpDQS7g3kVZXeNe58iUqXKrEtNGKoNk9lUIhNeOuJcLhjtrnGTjCULSu+sdus+FXQAPcsWC8cMfZ/L4ciTVnLLIzfx0F2PkEomWX70co495egJGuUgssN6YjNpjRu/9i/Ou2IFCw6bjlD0ANdYfgdN03jgT08wZ0Ez/gYf711Rj9Nu4vV3wmhSsGRhI+8/upVn7n2dRCzJAYfOpO2AYvL4/ouP58HbniSTyrD6zmdRTAonn38UvnoPNocNX50PxaRgtphH1WuaSWf53qX38M6aQQ/fP//oaeKRFN3bO/PkNodUIsN9Nz7H5354xqiPRQ4msynfdz98+XiQK7UeGiRSTAr+xtGrVI+ERCyh98sPIJvJ0rldt1uqZlmvlJLe3b0F3yncF6ahtQGb3Zj8SCnp2d1DPDx4H0kn0zi9usp0OpXWhd9qvXuMDFYDNY01eTVx0J9pdS1143YfGCs2tPdiL/HRSpnAWK5/vGj5XqYIvUcg92KRqb11XPsWcmVuu4C/AMWeaONHLbrSclVudmO6u0gpX6zGh08EpJRh4IUxbn7cwP9vVLJyIBAIqap6OZA7HkVSiaqqzgUeBdoGXv8iEAhcXmKXw2vZuisZhwEORc/+eoDNJdT4hv/2t6uqOjRo8ddAIDA6n489gFQiVUBucwj2BPH4x5bFGQopJZFgcRmxltVIRBJ538KREI8mWfDpS+l5fQ2J7m5stbXULTmEWDSFo4K5uGJS8DdVf/I3kdCyWl4dtNQEYE9PDDxeG+r8WgIbC3sFvT4bc+eXLpUUQlA3rY5ENEE6lcZsMeNwO/b6kuThEEIPnkSCEUOLKSklosRPNH/RPOYvmjcJoxzEwUfN4o6fPFWgYh7pTxJ4o5dVH9a7RqSUhPvCRIIRpKaX3/ob/QWkbPeOEP/6Z4BoOMmsebUcd9pcfnnNLdxz40PUt/i59BvnM3fRTI5ZVsvJx8ygrrmBnZu7+fKp/0vvbr3cXSiCD3/xeD546XEFRGnuwbP49u1f5Fdf+SM7Art547mNHL7qEBYfuXBc333dS+0F5DaHf978MgcsMb43BLtHboEoB1+9r8CnFvTsq9M9vuBaTkXX4XKQSqZQTHq2c7zE2Qjh3uGFUXrVT6Q/UtXeyUQsUVTVIaWkr6OP5pnGGcFMOlNAbnOIhWJMU6eNywt6b4KiKNRPryeT1m2CzBZzxZn6cDDM6y+8iaIoLD5sIe4KHAtG3Gc8g+LQsJoLx2AyWcuOy1vrpb+rcF6fu/e/2zElMrXfoxf9UF5QDY/aUhBCxIGrqrGvqaaOQuTC8eUUkYfjZSCKTk6NIhrfZ4DcDuCjQCmCO1weuyKiPRyBQOAZ9Ex0SaiqOgvd6imH8wOBwL/G8nl7EiV7CKVOsKoxYZIGqooAWlml80Jk0hmEyUT90mVFy/c3JONJenf36t9N6D2v7hp3sdiToKya7WRACMF/fOFwfnr9c2zbrJej1tTaufxLK3A4C8sopZRkkmksA6JLOUXoSko192YIReDxe3C4HXTv7M5n22PhGL/+7/9l64YtXP2rr7Di5JV7ZHzZbJa+jr4BQRq48Oqj+fMPnyaT1q+/Re9p4+JrTsivH+oNFXgfxyNx0qk0TW1NKIrC5o29fPcLq0nG9WvvyQc38fyj63n0T7qLW/euPv7n07/G7rQiNckda3+DYlL4+eV/yZNb0O8Lt//wceYsbmHJMQsKJsZLj1nIDc9cX9XjEO41trxKp7JMm1PPa/96p+i9UuXJlcLpcSIUQaQvgqZpWO1WfHW+MekQDIcQuuCUk4mtRCnV75tOpon0RzBbzNictnEHp8qJAZYcW5keeC2j7TcEN4dcICibzRKL6OezzWEr+T1ff2EtX/jINfT36Pfm+qY6fnL79Ry4ZH7BelJKtKyGYlIq+h0bfC7e2dnD9ForDquityHFsiwpUZqcQ67cPtI/eD34G/0TqiOxL6HEVGkK+wdyvOjZCf6cf1drR5NKcIUQtVLK0ZDHyUZuBl5xc04gEJCqqobQCe7rBqscOex1e5ndHTjk71enbH1GRqkSJ0VRymYHk/Ekwe5gXtG3pr7G0H4j5/VqVMJZqYdrKpEq6p/Nj38vVr4cCzLpDF3tXYNBAalnUDQNHnq5h4NanfjcZnpDaV7cGOKT5zdh2cOtS3X1Tr7xvRNo3xEik9GY3urFah2ccEkpefLGe3nknKqKrgAAIABJREFUZ3cSD0WpbWvitK9ewrwjF48rayulZFdvlP5IksYaJ/W+6hJlKSWxUEz3tzWZcPnKZ8jMFjNNbU3c8fM/8/Q/nmTb29uID0xCv/mxr/ObJ26kbf7IHrDVhJSS7vbuwetHwuKV06j98jzW3Po3PD4777lgCY4B4adc9nY4MqkMiWgCp8fJrf/7Up7c5vD6C1uKtknE9M9c9+yzzF2ygMAbxbduTZNsemMnBy6fM+FZnLYDjBV/61s8nHPFcbz53Ga2ruvIL5+5oIkP/cf4y8YdLseI5bHZTDZ/j7Q5SxOWPQGrzWpIPhOxBImYXv1jd9mpn1Y/LpJb6tpSzKWfQ6V64IUQmKqowFwNaJrkgSe28OLrHUgpWbKggdNPnIO5zPczQjKepLu9Oy/Ul8vuDn+eJmIJvnTxf+fJLUB3Rw9XXfRV/vbSn/LHLtQTIjhkHXeNe8RS91WHzGZHT4jNXcm8mNyc5hqWqS1ltxNCVMVbfgpT2AcRADZIKSc6K7MLXeR33JiU2bUQ4kTgFmCaEGI3cK6UcjzqwBOFV4GDgdmVbjDQ75qbefzNYJWh4enN6Blco/3UAkNr2P63zGf+GLgEXa77okAgYESs3xWw2qx4/J6iSa2/yV9yspJMJOncPqhunuvJaprZZDjhqG2upWtHV0G2tVKRklQiRcf2DsMaGUVR8NX5it8YBdLJdL4v1+607/GS33gkbpjx7u0O8fzabp4fpnF+z+oAF59RqRDfxEExCVpnGv8W/759Nfd+a9Blq3dbB7f954/4yG+vprNb4e6b1uL22jj5w4s5/kMHVjRJzmY1bntsA2s2DfYGrlrWxvsOmzXu7wIDvX07ewp6hMP9YRpbG8sKSwkhuPeme+hqL1T/T6fSPPfgs5NOcI2CQ1JKph++lO4H7yCbCPH6736D1e1i+ko9lliy4mJgQr1re6joPbPVNajzOAQmk0DJdNP+5nOYLUo+azwUNqe1pKp2NTFjbh3nXr6SO38+GEC3OSx89rsn4/La+Z+/fYLH73yVjm19NLX5Oe6cpdid1RdSGo5ELEH3zu78cS9FWCYD2WxWb1mRegDSbDXjq/eRjCfLVsskognCveFx9dA73A4sVkuRmJ6vtvQ93mQ24av3EewuFDPzN+19WcE/37uBx54bdDvcsStCV0+Mz1xwcMX70DSN7p3dBddLbtm02dMKKgMC6zbT01mcD9m9o4NtgR2oC2YTCUYKyC3o2VWhCGrqSxex+Vw2PnXyUl7b1EEkkaLB62TJ7KZx+yC/2zGVwN1/IaX8Kro90ER/zvOMgoOVw4QTXCFEA7oyce7J0QxcDZxehX0L9L7XiJRyzH6xQ3ALOgFdpqpqayAQKOtdO4Az0I/jy8D9Bu+/hW4p9DxwYiAQMK4zg3PRPaZAF8r6g9FKqqq+H7hy4OXBwO8Yu6jWfgFfvQ+r3UoimsiXvZWbXBlleHKZn9qm4r7LnF1HIprIe8BWqqAc6g0Z3vUtNgv10+rHlcGN9Efo6xy0tzGZTTTMaNhjvoJQ2j6nlPpEe8f4egQnA8/d+mDRskwyxbrVL7LyY6fi8ljYuaWfm7/7FFJKTjyrvK8xwKOvbi8gtwCrX9nG9Do3i+cUtfKPGrFwrMh7Ustq9Hf20zCjvPenkYhKueUTCaPzKW//Y7OTTejfcctDDzF95ZG6zYoByQDyASl/vZNouJA0m60Ojj3jBJ64u9Ci7/SPHJwvVT/02Dr+vbrwN6tr8XLg8lbD6o+xQNM0+rv6ScaSuiK8z4W7xp3/zmd85nDmLmnmrRd2YLWbWXHyfJpn6hN5m8PK+z56RFXGMZrx9uzsKQgq5AnLnGmT2pOeSqToau8qOE9rm2txeV00tTURDUXJZrIkYgnDjO5ohdaGQ1EUGlobCHYNigF6/J4RxQC9tV6sNqt+vQpdcXhPBAfKIRxJFZDbHF5Y08EHT4rS3FBZX2wmlTG8j+QEtYZeR+WesblnnNGzHPRnYzmCC+C0WVi5YEYlwyabyRqq8E+hEFM2QVMoByFEG/AxKeU3J+PzJiNEeAqwG/gMkEKPk4+r9FYIsUgIcTcQGdh3RAixTgjxqfHsd6AH9Qb04/IzVVXLHh9VVb3oXrNB4LxAIGB0df924P8dpcitqqo24PMDL7uACwKBQKnmnEXDXi8uN8Z3A4QQOD1Oaptr8Tf5R5wcaJnRT+AVRcHpceLyuUZlD1Sqx8pitYyL3KaT6QJym/us3t17tgPA7jAW/g4njI9tjWfvmsgZIRkzFozPJPQJceP0QRuUf/5fZZbXG7Yb/07rSywfLYwIHpTuExyKI95bHC9TTArLTzhs3OMaLUpVSaSC/aRDg5IHmcQgma9tri3qEfXWefOT57M+djDDedeMWT6+/ItP8LWbruDEs1Zy2NFtfOqqlRz//kERrZPPnc6q8w/GajcjFMGcxS189vsfwOaw0Lu7t2QbQqXIlWNHg1Ey6QzpVJr+rv6CfmKARSvaOPfylZzx6cPz5HZPIZ1MGwYhtKxWtve02sip6Q+/h/fu7iUZT6KYdLJZ01BTuiy4Ctk7k8lEbXMtLbNaaGprqljp3u6y42/0428Y+fk12Uik0jy9pri/O4dguPLAQLmAx/Djry6YzfzFxTZ6i5cfROsc3d+5VLVGtYiWlJL+rn52btpJ5/ZOdm7aWXQ9TkGH3Mv/TWHsEDq+JoQwNlavHAuBr1djTJVgMkqUG4DnpJQ3CCHeBA4Dbh5hm5IQQqwC/o5uodMF/Bm9+fkQ4DdCiMOllOMhup8d2PdFwF2qqn42EAgUSVeqqjobPTMNcHIgEAiU2N/NwHuB96uqemAgEFg/bD9mdFI9D72H90OBQKBcn+6wIs+xCVGhZ9KHonGM+9nnYLFZDKP1oyGulcJsNRtOfHOTrGQ8STqpW0HYXfaKMx7JhPGkIpVI6cq3k5A5SaezrHlpN6H+BDNm+ph/UD02p62o5M5iszCjrhanYyuxIb2PZpPgfcdMbsnrWDDnsIPoMrgkWxbOASDcP0iAI8HK3NNKlcKZqlQiV6oHslw/YA6XfutzdO7o4KXHdHF4s9XMlT/+IvOGCbtUC1JK0DSEwZhNZp0wDA3cZOJxNt/xh4KqAFE3KKZktVtpntlMPBJH0zRsDluB1+yyI2fwhe8cx0N3bSASSjJrfi1nX7IEm8PMcWe8h2NOP5x1j92DHCYiZzILPnrtKj713bPp6+gnMSRDnkqkBq1nxmh9kownDe9Lob4Q3jrvXqnQXY4UVoMwVopsJks2bRxM7N3dS8vswd7KnDXWcLh9xX69E4FsVuOdDb2EwylaZ3ppai7/uVJKUokU2bTu4WuxWSbtXNA0jZc2bCItk5hMMFyvS1FE2extriIhV13lcBt7ulvt1qKAr8lk4se3fZevXHIdb7z4JgCHHnUI/3PD1/Lf3+awGf6WZnN1prbRULQoSxzsCWK2mvcpm77JwpTI1H4LBZ2YrqG8jtBImNQo+WQQ3CeA/xRCOKWUzwohXgXOEEIcCriBTuAJKeWjI+1ICOEH/oTukfQ48CEpZWjI+0cB9wohnpFS3jKWwQ5kTi9WVfWvwHXAFlVV70NX9gqiKy0vQ7cU+j/ga4FAIGi8t7wI1UeAK4D7VVVdjU5KE8AM4MPo5PJ64FtlSphz+7tfVdWfMNiD++lKvpeqqj8Ezh6yaLi85q2qqn5/yOt9wiZoLPDV+UjEEgUZBqvdOiHCEb46H8lYsiCTa7FZcNW46O3oJRqMFoyhtrmWYE+QdCKdzzoYPUhL9WdN1sQnGknx/a89xZbAYBb5xPerXPTpQ/KejTn7D7tTJ+5f+cxh/PXBt+nojlFbY+eDJ85h9ozx9SBXG7nJZCadwWK1YLVb+cC1H2XX+i1se+3t/HpLzzqeuUctIfBmD5vXDZKvWQdWVl68bF4jm3cXZwKWzi0dZ5JS8tqmXazd2kEqqzG91sMxi2bjNAjMuLwuwn3hogqCSryhHW4n37nz+2xZt5lQb5CZB87Ol/ulk3pWMefP6av3FZDH0UBqGltX383O5x8lm0rimTGH+WddgrOhUOjF5XVhtVl1QSABm+56mOiWTfn3d/an+c0P/8Fu5wzOvex8QG8rKHc9Lz5sGosPGy5ar0NRTNTPPpCuTW8VLHfXNeHw1SGEQNOKyZSUkmgoiq9+bOd0yQqSKirCVxu5a2Q4YbE5bJM63nL9qpl0Jq+wC2B32qlrqaO/q59sJotiUqhpqMHuGtt5PBpEoyl+ev3zvL1Bv2cIAeddtIj3nVacqYSBXvpdPQUK9C6vq6zGxHiRa9cJ94aJplKEonHMZsHSQzy89HIh2TvvtPn4SlThSCnp3tlNMjYYtAn3hfPK3LnlNqeNuuY6w+/TNL2Rmx78JcHeIAiBz18Y6PE3+XXf+6H3OQF10+rGcwjyKFL+H7J8iuAWY4rf7tcQwEr0BOPoNxbiQOC/qjqikT5zMmrmhRDXA6eiizB9FjC6+7yOLj71tsF7uf1cjV4SLIEjpJQvGazzcXRiqlZD7WsgU3sEuoWPHT1bvA54PhAIjKppZyBbewx6trYO3V7oTeDpQCBQWepnL8Ly5ctfPvDAA5fdeuute3ooo4amaUSDek+W2WLG5XVNSMYhlUyRiCVIxVN6f6DNgrvGTSKaKPKXBD3rMbzsqq6lruhhqmU1dm/dXURgKlGQrAZu+sVLPLl6S9Hyy760gsOOrKyvaW9DbkI21FfZ5XPhb/STTWfY8OSrdG/rwNvSQMuCWQTe6uGm7zxPOqn/Br46B9f+5gO0zBq5bFRKycMvb+XRV7ajSYnNYuLMo+Zy6PzSti4vbtzBcxsK++DqvU7OPWoxZgNxsUw6o5PRpB4s8dZ6x6X0m0ln2L11d9H52TCjYUwkd8vDd7H9iX8WLLN6/Sy7/JtYHKWzQlJK/vt9lxDe2U40qbGtN40m9eDOrx+/gbmLx+/NK6Wkd/s79O3cipRZ3LVNNM1dhGLSY8K7tuwyLMEdz/WXTqXZvaXY51YxKZPezzoa5FojhioS1zbXTrqScsf2DlJx4zLx6XOnG5JgqclR3fellGQzWUxm05h+jxt/9QpP/6tYIPSabx7N/AOLp0Wh3lCRABWAv9Gft6ypNsL9Yfo79fL/WCZNIDQYiOvpTdPerk973rtSZdnC0qrDqUSKjm0dhu9NV6fr02XKBycqgaZphHvDpJIpzGYz3jpv1YIrXe1dBc+DHJweJ3Ut1SHRE4ELL7yQ9evXv/LSSy8dOhmft3z58pddacuyg3v2zkLA1+s6iVrSk3Y89jcIIUxAGtiBzq1G7nUq3P40dI2jWkBKKSfl4TApKspSyi8LIewUK3AN1a1cAjwjhFglpSylCnzakL9fKbHOH4BvoZcFG4k+jQqBQGAzhX6x49lXBnhs4N8U9iByAiDVRiwSIxqM6hMnIfKTPgDFZOLRewI889BmpCZZsLSek8+Zi2WoJY1BjU+oJ1REcBWTQsOMhnzvX06QpqZhcnry3l5fTM4BNq7r3mcJbqgnVDSZiQaj2Ow2XD4XC1cdXvBe08wmXD4Pm97sxOW1s+K9Kr7aQQIppSTUGyIeiSMQODwOPbiRzGK3mTl5+SyOW9JKJJ7C57IZktSh+3opsLNoeXcoxraufuY0G4uj1U8bv2BVDpH+iOH5Ge4Lj4rgbt8W4sH73mFu++qiB1Aq1Efv+jU0LS3tuRvqDfHvVzYXjUVKyfqX11WF4AohqGubR12b8b5sdpshwR2P2JTFasFb5y3s8ROUzG6NFZlUJl9dYXOM3/81J26naRoCMamlyUNR11LH7s27i/ovFZOiZ2qtxdfXaMYa7gsT7A7qLSCKoKahZtRlzW+90VVyuRHBHZr9HIpELFF1giulJNgbJBYaLCKzm8yYhCA7cEzrai3U1VqwWy0csqC8x3Ip/2HQSeloNCgyqUyBb+7QPmVFUcZcNTESHG6HIcG1WC2T1gq0L0FO5XD3d0wHLgd+VMnKQgg3kKs4nXRMlk2Qii4ylbsbSPRMaAKoQfeQBV0R+Y9CiGVSSqO7Y06eNCmHN0jldiylNiBAdQpVILhTmEKlGK5qPBxaNktLq4O+Lv1B/dzq7USCKc7/XHmdsFITBYvVQlNbU35CN5kPW7vD+NbhcOw5BefxopSKaiKewOUrzigKITjkyDYOObLNcLvejt6CyWIqmeLxZ7bx93/twmE3c85p8zjuPTOwWRxomq4iWkoAJ53KkC4hWBafJDGfUudhKSE1I2zZ1M+3r3uKdCrLvDmpwSfC0P0lywvih3pC2B32IpVo0Ms3JwLRcAyrzZL/fXwNPlKJVIGYl9PjHHfZoq/Oh81uIxFL5MXzqqkNEO4L0981KM5lsVlomNFQlWzrnra1MZt1H+fOHZ0F5d5aVsv3R481sxcLxwqOm9QkfR19mM3mUZU2l/KMNVtG13JS7Xv9mufX8PXPXMeu7bv59T2/pKFZV1pXhKDN7WFbJJwnuVazmWXzZ434e5e6lykmZVS/QyKWoLu9uyBwUdNYg6dm4r1oXV4XmVTGsA83lUxR11Ld4NO+DMne24O7lw5rX8U3hBAPSynL6v8M2MPeBLRiaMI38ZisJ9I1gA3dSudswC+lbJBStkopPcAc4CtAH7pK8MUl9lNpmO4p9IzwFKYwKZBS0t/dP+J6bXN9BQJDb7zYQX9P+er0kWx/hBCT/pA98RS1aJnNZmLl8cZkb19ANSeTmVSmgNyCfo4sO8CHy2Einsjwf39dxwuv7eLXX7uFU9ouYFXzuXz6xKvYMqwMWUpJX2cvnhLiRQ3eyekFK6VoXIkfdA5/vWMd6ZQGCDoTxVlnEHhbjfsRYbDC4cSzTyp6r35aA4evqq5j2uYNW7no2E9zwszTOGbaKfzPf/6ARDyJyWSisa2R2uZafPU+zB4PrwSiPPzUNrbvMrYuqRR2l52ahhp89b6qkttkIllA0mBAjb2jdFBuX4PFZjHMympZzVCMqFJEQ9FRLS+FI49tLVpmtZlYfoRxP7jTZ3xtGwXcxopd23dxxbmfZ9d2vTx+/ZoNBe+7LRbm+2pY1DaNQ+fP5thDDqTGPfLnmy1mahqHVRQJqG2qrfiemutBHp6V7+/sL+trXC0IoWfqjSyH4pF4SZuidyv2tFLylILypMAJ3C2EMCwPE0I4hRC/Ah5mkNyCrj00qRLkk+GD60T3eL0V3f+oKPMqpdwCfE8IcTu6KNW5GCstV0rINwLFM/ApTGEAWlYjldRLe61267gJotRkScuCoUinsmjD1otFUtQ2OvHWeknGkwXCFopJmZSe2tHiqBNmkkhk+Psd6wgHk0yb4eGSyw6ledrER9UnCi6fq6CkPL98DFlBo6xm7hxzO8xE4/r7f77tJV65cVCzYcOr7/CFM6/j5qd/ineghD6TzpCMp1jWXMszO7rIDDl/Dp3TQuME9eINh9vnJh6JF2S6zRbzqMoDuzsHCcFTnUs5ZdqzeCw54iGYfco5uKeXUdYW+nH80KfORgjB43c/SiKWYO7ieVz6P5dVNYMbCUX5r7OvpqO9E9DLKv/xpwdQFME1P/siiqLg8rp48+0e/vf/1pBK6482RcDHz1nIymWl+xP3BEqVu5Zavq+i1H14XD7OJW7to9Uw+cCZBxCLpVn9wCayWUmN386n//NQmluMr2Gn24nWqNHf3Z/vF/Y3+scs7GaEf933RL78F+Dmn9xMm9rKzLmD16G/zjem9hdPjScvECfQVZRHa7NX6ndLJ9MVlzmnU+m86J7FasFb682LjlWCVNK4tzsRS1Qk3PeugJR7rw/u3jqufQ8bgaeBc4AHhBDHSSnzD3UhxDHA74HZDBLbAPBJKeUTQoiPAH+crMFORonyUeilyJ8pVVacg5RyqxDiSnR14vGgm8qzvVN4lyERS9C9szs/ETJbzTRMbxiXL61QBIpJGXES9cLjOwpe250WDl45D4dLz4K5a9zEwjFSiRQmkwmn1zmucU0UhBCcdOpcTjp1LtmshmkUk4W9FU6Pk2wmm++zywUXxuJLWcoqJp3R6A8PlrV27SrOnnXv6uW5h1/m5POOAwYn7H6HlRNmNdEeipORGnUOGwerxpmfiYBQBA0zGoiGomRSGUxmEy6va1QTxcYmF7t36c/DcMbF3duPo9XVwZErGznilCNwt5SvABBC4Kv30d/Vz5mfOYczP3OO/lspSoEVzEiQUhLs7sfhdpb8fV/418t5cjsU/7z9Yb70oysxm01kMho33L42T25BL9P7w9/eYtH8OrzusffkjgXZTJZwX5hMJoPFYsHj9+R/n8kqd93TsNqthn2T4+mPtjlthsGv0SovK4rgwxcv5qzzDyIeS+Px2kpahuXgrnHj8rnQNA1FUar+ew0nb6H+MF/5xDUcffLRXPPTr2CxWcblzTu8Z3Y0KHdvqfS+k06l6djWkb+PJqIJ4tE4Ta1Nld+7Shzy/e3aGQ8kMI4Q0oRiit6OGxI9+XiVlPIlIcQPgNXAPUKI9wMmdCeYy9CvllxJ8q+Aq6WUuQjaP4DjJ2vQkzFzXgA8KqUs31g1iH8CTiGER0o51vqPDHpJ9BSmkEciltB7Z4YpbWZSGXp29tDY1jjmB5YQemR9uDJyjvQKIQgFM6y+e9DexGRW+NQ1R+XJbW4/Lq9rwnoJJwL7A7nNweP34K5xj3syaTKbqGmoKezbk5L7n+kgOYQMRXfuMNqc+JAJutlqzp9HTouZeXV6ZlcxKQVEOuc5mYwlEYp+Hrlr3FWdhAkhxuUXevaHD2LD+h6SCT2DnZYW0rUHcdQFR2OzV/Y48vg9KIpCqDeEpmlYbBZdtbdEX18qmcJsMed7Bt96/g1+/Nnv0rWjE8WkcMrHT+cT3/ps0faJuHHrQCadIZPOYDab6OlPEI4WC0pmMpIdu8IcNG/ylFYz6Qwd2zryQbY4cWKRWH4i73A7CPYEizKcpcpg91X4G/10bu8sqKJw+VxjsgHKZaQ8fg/pZLqgzNnlG/t92mo1YbVW3ocqhJgwVepDjyoWlk0l0yhm04QpNVcKRVFw+9xEgpGC5VaHteKARbC7+JzPpDJE+iN46yrLvrq8rqKWk9zyKUxhf8dAcvL4Ia83CiFOAZ5Etw1SgbkMhoK2ApdIKR8ftp8QOlGeFEwGwbUxirprKWVKCJFE92ktRXCtQghTCSEq0MWq9jnbnSlMHBLRBF3txgqWoE+CNU0b1yTC6XFiMpmIhqJIKbE5bAW9UjOE4Lobvax5bgdCwCErW5kxZ+8rP97Xkc1mWfPv1+nv6Wfeonm0zh6dqnO1JpMevweL1UI8GkdKeOLFDl5ZP2j5ccjCBt55O0HvsO2EECw6/ID8a0VRqG+po2tI1YGiCOpb6vKkTUpJd3t3Qflwf1c/mqbhq9t7ilnaZvr4+reP5eH7AwT7k0xv9XDq6fPy5DaTzvDGU6/S39XPzAWzmXOwcT+uy+casQ9x28atXP+577Dh1fXYHDZO+9jpnPGJD/GtC67NExUtq/HPG+/B4XZy0bWFQo8HH74Qs8Vc1Ou3+LCDsA9kpJxlSLnLWZ3+2Ugoyo7ATmrqfTS3lrbhCPYEiypIcgI5vnofZoteqdKzqydP/tw17r3q/KgGzBYzTTObiIfjZLNZrDYrdpd9VIEeLavR29GbbxdxuBzUNNXg8Xv04IbVPKre88nAq0+s441n3sZis3DMGcuYrpZXOc5h0fKFXPmdK/jZV3+Opunnz4KlC/ji9z5PJJLC4TDv0SBmTWMNiknJP1ftTjv+xsp9gIcKwRUsT6f17ytHzgbbnbr1VV9nX94hwVfvm/LCHYYpFeV3D6SUbwohTkfvtbUzSG5vBD4vpYyU3HiSMBkEdzdweqUrCyFmoR+sBuCdUqsNvF9sGqijCV2wagpTAPTJ30gQpeqQRgGb04bNWbp4oG1uLW1zjcR1JhepcJS3719NrKsH38wZqO87HpOl9IRcSomW1VBM1S+RqybCwTBXXPBFXnt+DaCTw//6xmVc+LkL9sh47C57PnN0xqk1LDm4hY6uGHV+O3Nn1dBxYguf/9DX2bmlY2C8gsu+8wnmLppduB+nnWmzWvIE1uawFWQck/GkoQp0qDeEt9a7V/1m06Z7+NinDilaHg1F+eZ5X2HDS+vyy876r/O56KufAPQKjFg4BlI/ruUml+H+MFed+Xm6d3UD+vG569d/YdvaTYZiQ4/d/lARwZ0xezpf/cVVfPvyH5AeUKqeMXsa1/3mK/l1PG4r71nazHOvFj6K2mrNdD36BInmeuYetxzTCEJxpfDwnY/zgyt+STKhV52sOvtYvvyLy7Ea9DEa2RYBBQTd5rDRMrtFv5YVZY9Z+kw0TKaxZx+llHTv6i7oTY5H42i7NBpmNIyr1HmicPuPH+BP3x/0lP7rLx7mG7d/jhmqrobscDvKlgmff+l5HPnelWx84218fi8W7wyu++aL9Pcn8XktrDppNqd9YN6I9xE50IdZTUXtHJkcqxVQqbahRDRB+zvtgF6+XtdcV7K1BPRsrdPj3Ceeg3sKU62u7y5IKZ8RQnwYuAs9qXiWlPLhUusLIY5Dr+jdb3xw3wRWCCGOlFI+U8H6V6HXbo/UUDWd0gR3MbCl4hFOYb/HSFYmdqd9VL2E+zLiPX08cNk1hNsHL59NjzzJST/8uuFEPBaO0dfRp0e7hW5l4vF79soH/I+u/Wme3IJetvuT//45C5cdxNIVxaRqMiGEYE6bjzltgxO1lplN3PTET3jhsVeJhmMcdOh8Zi8w7kM1mU0lSZ2WKdH9JBl3ZcJk4Zav/7aA3ALc9bPbWXD4IhasWETv7sFcdzQUJZ1Ml5z0/vuR5/PkdijW/vsNjI5ELsvTtSvM3X94nc6dERqa3Xzw4iO484X/Y+2Lb+F0Ozj0qENwuBwF2370rINwOS28sKYDTZP4Ix3Ybr2LxzM6KW0Ao3sNAAAgAElEQVRZMp9zb7wO67DtRsL6V9/mO//xs4IJ+uq/PkHDtDo+e93HitYvRSpSiRQd2zowWUz4anVl5rHa5bwbkElnDIW3kvEkmVSmqsrW1cC2DbsKyC3A0mPn46mx5lV+w31h/I3+sqS/dU4rrXNaad8R5utffwq/z8J/fHI+zU36efvWa9tYsKTV8DyTUhLuCxPqDSE1idlixt9kLIYVj8QJ9gTzgk81DTUTGzQo8Zgael2lEim62rtontlcNugjhJi6dspgb+3BncLEQUp5rxDiUuAGYB56RrcUJjW7M+EEV0r5shBiB/B3IcSFUsoHjdYTQliBbwCXonvkHgv8zWiXA/+vQrcdMsJpwOvjGvgU9itYbJaSJNfmtFHbsuezqpOFV274UwG5Beh47U3W3/MAC88tLLZIJpKFfcVS72lSTHpvlKZp+Yj9RBPetRu7efjpbURiaWZO83DmyXPxuAonRi888aLhti8++VIRwc1msmzbuAuAtvkte2zi4vQ4OO6DK8e0bX8wySNPbKWnN4bbqrHi4FpsQ3r7TGbTHvEnXffaBgLrNlHfVMfyY5ZhNo/8qHnzWeNb9tpn19A8e3rR8lBvCJfXZZh1MfLIBUhnMpiF+f/ZO+/wtqrzj3/O1Z6WvO14xNl7kUVSSAiBEAgzZYRdNmWWFn6MAikUaMtu2aO0lD3KKHuGnZBASMggZMd7yZa15/39cW3ZsiTHSWzHCfo8Tx7wse7VsXR1db7nfd/vm+D2Of7gSTTUuLn54ndxOxVx8/OPdfywtILFDx/J4QvnpJy3Ri2x6OjhLDp6OKte+oAPFj8f9/vqVT/z5T+eZ861yXvdV+2oYt0PP2G2mph04MRY6uvX7y1PGn364u2lSQXuive/ZugBo9B1EBXRaFSJ4IYAP/jdfvJK8rol0qLRKM56p2KuJMBkMWHJ7F8bW+FAgIb1m5HlKNkjhqAxxAuqaDhM/Y/rCDidZJQNJKM0sU1PZ7pyw4927ZO5V9i4ekfcz3qjlkW/n5fwuW+qa8JgMex0s2vp0kokAWcuGoQtQ7kWZVnGapJw1DrILkjsDuJxenA2tGdJhUNhGiobyCvNQ6PV4HX5ee7OT/G2+Dju4smxayjgC1BXUUd+SX6X0dM9QaPREAjv3Ck8HAoT8Ad61KH6l4TSkqd/hnD756z2H2RZflIIkQfcJ4SolGX59RQPndyX8+ore9a/A3cBbwshVgMfAltRQto2lN63RwNZKAZRR6M0CI4hhOhYcFWLkvb8185PJITIAQ4GHu3xvyLNPocsy/g9fjQ6DQFvIG5hq9VrySrIQqVW9UibILfTTTikuMuaM8z9NiLctGV78vHNiePJjDVAWdAE/UE8TsURV61Rk1WQ1Ws78T+sr+fB/6yKfVHtqHKxcXszf/ztVPS69tuYJkVdnEYbP16xqYbFZ/yDys1KanDx0HxuevpSigbn98r8e4NGh49b71mKs6XdNG3NxhbOW1iGTivtcs/JnkCWZe678UGefeil2Nj4aWO5/8W/Yd6JIYs2RQqlRqdN2X6iYnsT/qCgeKAVU4fNjtFTRyNJUqymsI1B44Yw49Cp/Pf+l2O/GzpxOBf+9TJe/8+6mLhtw+MK8tZzazj36gO7nHsbVZ16iMbGf2gfDwVDNNc3EwqE+PB/H/PAHY/ENt+GjBrMgy/dT05+0haDQOrWNCs/Ws7bj73OYWcehS0vE4PZSMGgAQnHtjhayCro2vxKlmUaquLTdJ2NTiLRCPac/uEb4Ni8nQ+vvg1PreKtYMiyc9jfbiB7hNIhMOj28PmNt9K4vv21H3vWqYxadGKX5+1o6tYRSZJ22pN8b6A3xc8pe4ANrV4ZW7vawZJPKvG4Q+QXGDnzIhPFZV1v5oZCUQaWmmLiFtrdgn0uH9G8aIJ47mwCBco15G3xYrKaueM3L7Lxh0rOu/XQhPtR23fn7rQh6g7WLCv1Fan9NzrPJU2a/R0hhIRSK9vTeIFnhRD3oGyrdiQTOLcXnjMlfSVw7wdOByYA41r/dabtrneHLMtLhRA7hBCLZFlu2w4f2+GxNwOLhRDzZFl+v9N5/gIEUdyY0/yCkaMy9ZX1CX072xwYzRk94zAbjUapr6gn6G8XGh6nh9zi3H6ZzmSwJ0/rTDaeajEdDoXj/t5wKBxL8eqNv/mNjzYn7MLW1HtZtqqGWVPbTaQWnHIkj9zxWNzj9AY9hx49O26uHcUtQPnGGm458wEe/uxP/fI9S8Z/394UJ24BahsDvPF1FbOm5zNu+IA+N8JZ8vYXceIWYNWyH3nw1kf5vzuv6vLYw06fz+PXPRg3pjPomPXrOSlrux667ztqa30YDGou/t0Uxk9SNigGjRrMJXdczgPX3R9btGYXZnPuDb8hpzCHUdNH43cFsWbbGDl1DGqNmsYOPXo7kmo8GTpz8hRyXWtqeTgUpq68jmgkyvbNO/jHbQ/HifBN6zZz65W38/cX7mHGEVN4+u4XE/pmH3zU9KTPoTfpqd1axTN/ehyAM2+9KEHgQnu5hrPOwZcvfYynyUXp2MFMOeagmHAJ+oNJ03TdTW4ysjL2SlZAR6LhMB9f95eYuAWl9OKj6+7g1y88hFqnZeWj/4wTtwA//vs5skYOJ29CsiWIgiRJZBVkxbWSE0KQ1cHUrT8xYkoZZWMHsPVHpZ7U1aRsSq5Z3cgL/2m3MWlxOrlz8Vfcct9h2Oypo5QjRmZRvq0x5e+ThcNS9h6ORln15RY2/qDMzWRNvom1Rz2Kd4LeqCenKAeXw0UkEkGtVRPyhxLM47z+CG9+tJ16h58su54j5gzEnpGO5u4K6RrcfQNZlqNCiJNR/I56GgFc38Xv+uwq6ROBK8tyRAhxGErkti1PsOMf2aYyHpdleXHr//8BWCqEmIpiNnVh63gd8CKQD7wihLix9bwG4LfAWcA/OvRdSvMLpcXRkmC8Ew6FMWWYsNgsPfY87mZ3nNhrex5no5PMvP6X+jzm1BOoXLYSucPCWms1M/y4IxIeqzfqY1HajiRbkEQjUfwe/07dbXeHJmfyFLPmlvjxc353Fi6nixcee4lIOEJOfg63PHwzJYPb61q3/1QVJ27bKN9YQ/nGGgaOTBQF/ZHq2uQmhdtrvby/voqsXDsD85TUfEkl9cni/JWnkmcmffflDzs99shzj8Xn9vHKvc/h9/rJK83nsvv/QNHQEpwNTloc8Wb8q1Y1UlurpCL7fGEevPtbbvrzTDSqMHJUZtbRsxkzbQzLPvgKvVHP6KmjMbQafuUPLKSwrDRugytvQPJ7Qn5ReysRd00dWz5YQtDtIXvkMEpnz4g7x+jj57DyhfeIdlo8T1w0H1Bqh9s+O2t+WJcQYQb49osVyLLMiIlDue7BK7nzdw8Q9Cub4YeecBDnXn960nnOPeNIlv7vy9imVP2O5BYVaq2ams2V3HHc1bR0SCv94YNvueDBPyCE6FJwtBlU7U2c5dUJZRYA3rpGmrZsJ2fkUOpW/Zj02LpVa7oUuKDc9woGFsR63+oMun7ZjxzAmmHmwr8t5PUHP2XTynI0WjUVW+r4ckliD2dnc4CvPt3OUScMT3ImhQkT8tix3UkwGEWrjX+ftTpt0swknVFH2JlocqYz6nDWt39/VGxyUJSkdZZG37uRcb1RH5d6HAqEqK+sj232eP0Rnnh9O41N7d8n366s4cbfTSezi82ANPFE08nA+xINQDGKFuvpNK9+UcfSZ3dsWZYbhRAzgWuAs4HS1l9FgRXA32VZfrbD49cKIS4AHgHaVh5O4ExZlluEELej1OHeQ7tYFsBPwOLe/WvS7At0Fp07G99dQoEUbQhSjO9t8saP4rC7b+aHp15UXJRLBjD5krMx5ye2IDGYDVjslphZCSiLhbaFX2dSRXz3lMJcEz9va04YL8iNF9MqlYqrbr2CS264CJfTTWaOfa8vxnuLTLuerTsSO7Cpdcp3S2VdMxq3OxZdsdgtZGRn9FrK8kevf8qyT5eT7Lutcw/Smu0ONqwoR6NTM+6gQZgzDAgh+PWVizjh8pMJeAMYzAYaahpY8r8laHQaRo4fSTgYJhqVefetrXz+WbzACQQi/LC8nPETlAV0KBjCkmHl2PNOoLGmLhZekFQqcgoLEl6HBaeO4bsvy6mvbt84yMw1cswZSvKQY+MWPrzqJoLu9gV71fJDOfDqSxBC4Pf5+fON97OptpYDrFYsKjWSUc+Riy9iyJypQLwZmDZFumvHqPu8kw9hxhFTKN9UhT0ng4KS1K1fxs2axJWPXce/bnyUpppGVn26gtmL5sWl1arUKqyZVu67/J44cQuw9LUlHHDUDCYfNTNlja6kkvpFhkNX5R+i9fOu0ibPXlB1M6tBpVal7HMajURpbmgm6A8iSRIWuwWDeddMxHoKjVZD2bBiTr1ufmxjwmQ24ns5+QZHi7PrDoqyLPOr6dlUbnegVmuRWk2X1Bp1Sq8KW7aNUCAU991qtpkxmAwUD8uJjb3775UMHJVDfml7OrLepN+j3tq7g0anIX9gfqxs6etPyuPELYDTFeTNDzZz9smjk57D0+KJRYW1ei32XHu/3QTpK9Lydp+iEUXgulFckCuArt1Y9ww7cA7QZ82j+/TTKMuyD8VI6k9CCBtgBByyLCe948qy/LwQ4h3gIEACvpZluaH1dxEhxDzg/4BjWw9ZAtwuy3LiSjjNL45Ubog9LXgkdfLz9YeFYCoKDhhHwQFdRzFASc2z5dgwWo2Eg0p9sVavpaGyIanI7aoVxZ5wyoLh/O3xFfgD7fffccOzmTwm+YJfp9eh08fPJRwK4/f6ySm0MWb6UNYs3Rj3+6Ih+RQP7bsa3Lbo3e5ej8fMG8zqdQ2EQu2iSaURZBQo4iTq9SPr279LXE0uJJWENdOacK6e4PlHX279v8QN4ePPODr2/1+8/iMPXf0GkVaxZ881c8PTp1MyXNlgkSQJg9nAF+99yU3n3oTfp1xn+UV53PvyvRQNLuHzz75JSN1Vjo1/3qA/iDXTSmFZKQGfDyEEepMxqdGO1aZn8cPzee+l9dRWucgpMDP/xJFY7YpwWXrPI3HiFmDzux8zcPZMCqdO5PG/Pck3nywF4L3GdgfncaEQbUvkjsJxyswDsGRYcDnj270fs2hBnPi2ZJgZdcCwhPnKskzN1ipaHE4GDC3BnGFmxrGzmHHsLELBEBqthmgkiqvZpXx2NSosNgsqtYrydVsTzgdQvm4rk4+aiVqjJiM7I844CPq+pjsVlsI8soYPpnHD5rhx28BiMgcPBKBs3qGsfvLpuN+r9DqKD565R88djUapq6iL28AM+AJk5WdhtO6dvqhGk4GBg4oJhcKoVBIqlYqBQ+w0NiSarZWUdV3r6m5243F6sNni759mmzllDbKkksgtzsXv8ROJKO7Ibd8FQycO4IgzJ/Pe0yvwtgT4x+/eZfLcwRz5mykUlmVjsBj2yjXVdp8BqG9MbkpX15Dag8JR2+7q7vf4qSuvI680b59wrO8NZHpvg3tP6Z+z2us0orw0JyUp9ewVhBBO4I998VzQxwK3I60idKdCVJZlJ/BWit/5aRXMPTu7NPsDZpsZnzvxi6unU2gtNgsepyehDsli77k06L2NVqeNiyxl5mdSV1EX13vTnmfvtRYaJYUWbr5sGp99W4nHG6Kk0MrBUwpjgkaWZcKRKJoUmwp+rz+upu6yu07lpfvf4+OXlwEwYHAeNz99aZ9sSkTCERqrG2Pp83qTnsz8zF1eGJUUWfnj76bx9H/XUVHjQmuQyCzVotZK2PQaim2JEaXyzRU8f8NLFBTnc+oFJ2PPTm0YFAwE+eR/n1FTUUvJ4GJmHfmrlHP0eQJsXlPeYaRN5MqMmzKG485cAEBDpZOHr3kzJm4Bmurc3H/Ff7nr3QtjC11HnYObzmsXtwA1FbXccM4feebL/3DAtEKWf1MZNwejUcWgwYmfuUgkgkFr2KlBUCQcQchh5i0cjFavTXBTbd6a3JzNsXkrBVMm8OWHybvgrfhiBfNOOAxQ7j0+tw+/148t08bie2/g7pvvp6q8GkmSOP6MY7ni5ku6nCcogurei+9g6dvKc+oMOi657yoOPkFxe277WyWVREZWYm29JTuDlobEr19rdrv4sWZa0eq1+L1+BAKDxdDnNd2dqf72Czb/7yUCzQ7sBTlEQ0U0bakAIHNoGXNuuwap9TM8YuGxhDweNrzyBtFwGGNuDtN+fzmWwp11IOwan9uXNDvH2ejcawIXlM3IjlkBp503ga2bmnB0ELlTZgzgwIOTtyFrI1V2TsAX6PI7TQiRMop91o2HMWJKMT+tKEdv1HLQcWMYMDi1kVpfk52ZfN5ZKcZbmhIzZyLhCF6Xt0fLn/Y1+p/HeJouaCu070771p4iVeebXuGXnU+RZr9Gb9STVZBFc0MzkVAEtUaNLdfW41FGtUZNXnEezQ3NsUhJRlZGr0Uz+wMqtYr8knwCvgDRaBStXtvr6Vk5mUZ+fcTQuLGoLPPu19v45LsKAqEIBdkmzjhiBCV57YsMWZZprG6M24AQwClXzueEi5W645LhBX2SXibLivFZxwWy3+OnsbqRnAE5uxzJKCmy8sfLp/PjtjqWrivHHwyTbdIxeYANdZLIsNPh5J2XlU5tb7/0Hk+//yTZeYk1cR6Xl4uPv5J137f3pR00aRxX3H0tB44tSoiUvnDnRxDoXKumvN4Lzzk29ndtWlVJOJSYBVW+oQ5Pix9zhrKgXPv9uqQL7S3rt9DU0MQ5F00kGAiz6nulljozy8Appw7CZEoUsd1xvg0FQtRV1MXVnloyLdg6CD693YanJrGu0eP3c9vFf2bruq1JK486ZhIIIcgekI23xUsoGGLyQQfw+vKXcbd40Bt0qNVqhBDIstzltfDvPz0eE7egiI/7L/kbxcNKKRszOOVxkXCED1/4Cn1eEfwUL9izinKZfvysuLHOtYtdIcsy0UgUIYleKQuoX72CdU8/HPs55KzDmqlixh8WY8orxJSbRcAfpKm+KSbIx519OmPOWETI60Vr7hlTwVTt5nbWa72vCAbCvPPUMnb8VMuoIiP2g4YiqySKS21M/VXiZ7czKV+jPXjphBBMnz+S6fNH7v5JepF5h5Sy7PtqnK72FGujQc3Rhw1K+vhUNeq9aZaVJk0PsxnYIctycjOP3qEW2LHTR/UQaYGbZr/GaDFitBh3umDcUzQ6DTkDcnb+wP0IIYmE2sq+5sNvd/Du0vaFenWDhwdeXsX1Z03BZlGERTgUTrrwkGWZwkE5fdr3MBQIJY3+BLwBIuHIbovssQNzyVeLLmujhRCsXNZu9lRTUcPjdz3JdXdek/D4x/76zzhxC7Dl+9Xcc8czHHHq0Zx79GikDp+n9d9uw64rIxB1EYq2p/EOGTqS+SceHvtZZ0wuNoUg1toEQNdFpFCr02I0abjq+hk0OXwEAhGyc4yEg0HqK+vj8tHMGeZubTQ5ah0J14jL4cJgMsSOH3v6iSy9K97l2ZCfw3cbqvjwpQ9QIxHsVMKkUqs48qT5nf5WkZBFYraYaKhqiF0bbS3MUl0Py979OmEsEo7w3UffphS4kXCExWf8gxUfrwFAL2xYNT6yci0MmjiMRbdcgGk3o0/BQJDGqsaYM63RYsSe17P17xWff5g4GIng3LiKvPHjcTW5aK5vj0q7mlxkFWRhtBjRWXouqpZqw6S3+rjuCqFAmFtP/w8bVrRnUxjMOm59+WxKRqSu3+6I0WJMmvkUCoRorGkkIyuj2/cpWZZxN7txO93IERmtQalV7W/lO/YMPTdeNZ03399MXYOXrEwDC+YOIjc7eUS+re1gZ/Z2hsPeRe63fXDTScqJyLJ8A3BDHz/nMqCsr55v79+RUyCEyJJluQuv+jRpuk9/qBvbnwj4ArQ4WoiElXqrjOzuL3p6kq9XVyeMeQNhVm6s55BJSvugrhbZfW1A1VWN0p7WL3W1aBRCsOLr7/nPI8/HjW/dmDztdm0ncduGu7KCVZsa+GFjPZOGtZuS6U1aVEJDgWEC3nAjETmIRjJyxIKj417j0dMHUlCWRfXW+Fv7rIXj0XboZzxu+niKBhVR0Zp+2sbsBbMxW9sNaewdUgjVaj35Jfl4WjzIsozOoOu28U9XhnSxWsKj5uJpcbL1vU8J+/xYSgdQdsJ87rtJaSeoRoAsESQKQhHptz/5Z0ZN7Dpq1RbV75juH/QHaaxuJLc4l7XL17LkzSVEwhEOPPxAps6Zyu7czj5++ZuYuAXwywb8QQODxkzg0icv3fUTthKNKG3SOm4QeF1eEJCV33W/3V0h7E9eJxn2+wiHwnHitg1HrQODyZDSj2F30Jv0GMyGOBEohMCeu/f7A3/26qo4cQvgcwf4z+0fcsPTyd23O2O0GImEIzQ3NMfpgnAwTDgYxu/xk1eS1637vavJFVfH7XP7CAVDWHNtuDxKfWuGxYxBv/eznTJt+pSGUp2x59pj7b7aMFlNKTd827IbJJW0X69F0jIyTX9irwhcIcRA4GhgNjAKyAHCwMAOhlOPCSGOAD4GHpVlOd3XNk1S2oTB/vzF0Z8I+ALUlbenaoYCIfxef6/1wO1yLknSXQGCHcZValXCghSUKNnu1gzLskzzpg24qyrQ2zPJGj0eqRs1tBqdBiGJhHptlVq1xxsEFrsFr8sbJ5TbTMJeePIlHurUHxggf0DyqE6qOjK1QRGM1Q0e6OB7dNhpU1m3bBuSUGHWKMJXo1VxyImT4o7X6jX88enTeOD3r/PT8h2oNCoOPn4c5yyOb1GlN+i49+V7uO7MP7Jp7c/KnDIH4/PnsuLT5Uw+ZErS+Wl0Gmw5XZvoJENSSUmj/J3deotnzyBjbHyLFbVaed8EAg0q1EggwxHHHc6s+Qfv9LlDgVCcuAWQo1HWvfMV//5sOW9/8FXsPX31sVe4+E+/ZfpRv+Ktx16LO0alUTP58OQ9cgG2r69MOr4txXh38Xv9SV87b4u3R02pMsqG0rJtU9Lxzq9fG3JUJhwOdytNvbu09cT1tHhiLsqmDFOPPsfuUrU1eUygasuuxQosdgumDBOOWgc+V/x9MxqJ4nK4sOftXNC7HK6EMbfPT9Xm9izFqpoGykoKsWfsO7WrGq2G/NJ8vC4v0UgUjU6DwZxoliXLsiLyG50gK1lP9lx7SnfufZm0yVSa/kafClwhRBlwC3Ay0HE12Nb8NwcoB5BleaEQYihwEvCEEOJ74LS0Q3KaNiLhCE21TUpapgCTxYQtx9aju/WgCLpQMIRKrUJv1P/ihXRLY6LBRjQSxe10JzW06U0GF2WwamND4viA+Hlk5mfSXNesRJZQojD2PPtuvZeyLLP2349S+cUnsTH7sJFMuvI61Lqu050lSSK7MDvO8EpSSWQVZO3xdaXRacgtycXZ4IzVnGdkZ6DRaTjypPk8++iLOB3t0RSj2chvrjwz6bkWXfhrvnz/63ixrFaTN2kyAFZTfCreQceNx+vy88JdH+Fq8pJXksmFdxxL6YhEV+qcIht/evFswsEIkkqkbPliy84hu/R4ZF0zQkhIKg1NLfDny57jousbOOLU+UmP2x0sdkuCY7BKo8Jgao8Ah4N+vLWbkSULQmr/+jrw8KmsXrY29rNoLVY87MR53XruzotCWZZZcufTbFryHV80NSYszh790yM8++2zNNU6+OqNzwDQmwxcdv/vGTgqdfaXPTf5ZzMzd89ctbtc1PZgh8VBC06kZdsmnFvb3c/zDphB4YGzCYWSC1ygV1xthRBKa5tdvN25vEGqGt3oNCqKcy2oejiDJLsw+YRSjXeFJEnIkeTvbTic+vVuQ5blhD7PUVnGFY7PlpCBbRXVWM3J3c37Kyq1aqdGkl6XN+6+IkdlHDUO1Go1OuPej1r3NOkK5DT9iT4TuK09cN9A6YXUJmgTHtbxB1mWNwK3CSEeAP4DfCyEOEiW5eTe7Wl+MSSY9cjgdrqJytEeS4uTZZmmuiY8zvaaQp1BR/aA7P22t2o0GqWprgmf26cYtZgN2HJtcX9vfzJZOfnQodQ5vFQ3tt8SFswcyJCi+CieJElk5mfGog57Iiarv/kiTtwCNP28nk2vvciIU87a6fF6o56CgQUxF2WdUddjCzutTpu0FrywuICn33+SR/7yGOVbKygoLuDCa86jbOjApOeZOmsydz79Z+6+8WFqK+vQZ2Ux8PCjMObmk2MzMG6gnZf/+jQbvl2HwWJk7llHMu+MaRx++lTCwQga3c6/WtTaFI7MrS7Dy76oxNHgQ6Xu1K4kdwwPXvd35p54WMqodzQaxef2xaIrOoOuy/e8baHqbnYTjUbR6XXKtSJHadq0nXDQT+3mrwm4mpC0Rgz5Q1HrzRjtOZxw4Smg0vHP258kFAyhN+q57PbLmZIiytwZjU4TF0He/s1qtn72Pf5oJGlTwmg0Sk15DVc/8UfOXnwBLY1OCgcPwGDu2sH3sEUzeeOJj2moaoqNCSE45aoF3ZpnKnQGXdJvdJ1B16ObjWqdnklX3EjD2pUEmhwY8wrJHDEGIQQarSZplobZZu6yZ25fsnprPS8t2UCo9X0uzDJxzryxWIw9V7c5+9cT+OCZFXERW5Va4uSrZid9fCgYwuP0KEaBOi2mDFPc5yTV56vjeDQaJegPIssyWr02di8TQqDRaeI8ByJyNOnCLxqV8QdCmIz7jsDtDp4WT/Jxl2e/FLj9twY3TUeEEL+TZfnevT2PVPTU/PpE4AohpgAfAHraRawM1AE1gBeYmup4WZadQojjgc+BO4ArenXCafo9QV8wqVmPt8WLPcfeI4sar8sbJ25BieY6G5z9ot6qp5FlmcaqxphRkYyMp8VDNBIle0B7Swe1Tk0omPja740UPatJx9WnHcBP25vw+EIU55kpyu26lcWe4vh5XdLxpo0/dfscKrUKo6VvW4oUlxVx26O3dPvxs486mJmHHUcRpZkAACAASURBVMjSH3bw1foG/MEIJXlWTpg9mAfOvYU1n6+MPXbFu19z+aPXceBxs7olblPR3NAcS2tsbkhu7ihUWrxuL031TeQUJor5SDhCzfaauLRZSa2isKwg5fsvhMCaaY3rEeyqrOazG2+jpbySrPFFZE8qBSAa9OLZsUo5b8lw9IOHcOrlp3HCeQtpamgiKy9rl8xmOkb1o5EozduUunKtSH0Py2p1vs4pyiWnKDfl4zqSkWXh7reu5YnFL7N1XQW2HCsnX3Ekk+eM6fZck6HWqMnKz6KxpjEmctVaNZn5mXt03mRIajW54xM3DoQQZOVn4Wx04vcoGT1Gi7HftGprbPHx4qc/Ee5QmlDV6OGlzzdw7hFje+x5jBYdt7z8G166dwnb19dgzTJxzAUzGH5AMZFwBE+LJ+aboNFpqK+oj0XgPXjwe/1x2STWLCs+jy9u81KlVsU+J6FgiPrKeiKtJSFCEmQXZMdqUTPzlHZysWyVLu6/6hT95PdlUmU39NdU3jS/GO4SQjzVHzNihRB24C5g3xC4wKOAAUXM/gt4F/iuYyRWCNGU/FAFWZYjQoiLgG+FEDf3xzcmTd/ROfWp8+96QuC2Rdi6O94T+D1+vG7lY2E0G/vUpTgcCid14fV5FBOXtl17W7aNgDcQJyC0em2P9xfuLlqNinFD4nsqBoMRtmxtJhKRKRuYgTGFe+/uoNYnf09UO0lP3tcIh8LU7ahjoE3LwAMLY+PlP/wUJ27bePqmR2lucuL3+hk1fSzDD9i1liDBQDCuZq94YHJxEvTUoTPo4lr4dGTTsjUYc9rFlSzLRMMRqrfVUFjWvR6o0UiEzxf/hZZypT5VY0n+3gbc7V9DeqOegpLd67GqM+goKCsg6A+SM0h5rTWSRLFOT3kg/jN5yHFzKB0+cLeeJ7coi+ufuGi3ju0Ko8WIzqAj6A8iJIFO37PR2+4gJKXenH5oZr+lxhknbtvYVNlEJCqj6sHXyppp5Lxbj4wbC4fC1JXXxQlVIYkEoeVz+/C5fbHNN5VaRV5JHq4mF+FQGJVahclqih3bWNUYE7egpOA2VDdQUFaASqVCq9fGalXlqOKiHGlw0NwSv3lls5rRaXc9ki3LMkF/kEikVbT3gzrojuiNeoK+RAO7vnTu70vSsn2fQQBjgC/39kSS0D2nt27Q6wJXCDERmAA8CVzWwURql5Fl+UchxCpgDvDfHppimn0QrT75l6FKreoxo6NUC7TeSk/u3ObC4/Rgy7H1WRSiqx5+HTcU1Bo1+aX5uJvdSmsbrVpJBewnadvVNW7ufWAF9Q1KuqLJpOHSCycyYljPpK4XzpzNjk8/QO5Uh1Y8+7AeOX9/oS11sTPqFNHJ5loHj1zz99jPZy++gOMvOanbzxcOxL+eJWVW5swv5pN3yzs8xkXTtiVccON5SRezG95aQjDDTsfYeFs06uuPVvPr87snQD01dTi3tRvhhNzJN7VCsoFoVN5pb9GucNfU0rj+Z1Q6LXkTxzHx+ENY/vTbOLZVM9RoQidJ1AaD2Ipymf3ruZx99dn90gegzcwtTSKqFO+XJIndcsTeVZrrmxNKSDob3bXR2bBLpVZhy7Hh9/px1DhwNyvi1Gg1Js3kkaOK6GyrX1dr1HGZEWWGAiqq62Mi12Y1U1Sw67sS0Wg0LuMIlIhzX/tAdIU100ooEIpLnTfbzH2evdMXyLJSY90f6afT2tv0V4G7ZylFHeiLCO5U4GfgArln8jLWAKU9cJ40+xA+X5gXn1vLmjX1qFQSM2YWMeeQQprrOtSTSaJHzHraMFlNuJsS0yT3NFLp9/rxe/1KjavFgFanJRKJJG1z0VzfjNHaN+YbGq0GIRJ39YUkEmqxVGoVGdn9ZyHRRjQq8+BjK2PiFsDjCfHAoyv5262zeiSSay0eyKTLr2Xd04/ha6hDY7Yw9PiTKZg6Y4/P3Z9IVVOtTyFiOi9u/v2nx5k0ZwqlI7vX9k5qTVGUZWKL/jnzSygbbOHRm19Fq27AHCxn5kwdWz58gzP/9SaHLjyU0686A1Wrk/Ha1z6kaOHR2JKYQ1fuqGdzuZPBxd24bjvdQprWV2Mdkou2QyQ3GBI882KYAd99zeVXT0er2/XP6LaPl/DtPQ8Sbd0sMeXlMvuOm/nN87fx/u1PUb1mM8U2Cweecwyj5qe+vvweH401jWTmZe2RyPS5fbE6ZK1eS0Z2Rr/ZuNqXGVZkx6hT4+20iTN+UG6XabtdIcsyAV+AcFCJrOpN7QaIkXAk1vpKZ9AlFaKpkJKkCodDYRoqG+K+G7wtqa1QuvoOliSJkgF5lKRwcO8uzgZnQsZRS2MLWp12lz4DbVHgtiwlrV7bY2uINsftYCBIJNSeGr6/ktaR+xQ9JiR7mHE9daK+ELiZwFc9JG5BqePdv5wI0nRJNCrz93uXs35du1vua69uwO0KctLJw/H7/AghMJgMPdqmps2wx1HrIBKOKEJPraa5vpkWRwsWmyXBlGNntDha4lwVWxwtZBdmJ11UtBEOhlEZev+S93v9SCopPo2ttbZtX1nkNjv9VFYlbkp4PCG2bncyemR2kqN2nezR4zj4rw8QCQWR1JpeiajJskwoEkXbx62X2ki1ELNkWpl61Ey+ffur2JgsywTl+GivLMtsXrWx2wJXZ9ChM+gSSgDWf7WZUKNg2kSJ8cOU1GN/MMq7n23jX399Cmejk8v/eiUAYZ+f7978ggVXnRJ3DneLl+++287gTQ4GFVn56qNt/PBtFZIkmHpwCZNnFsU93pyfh31wGU2btwIQDYTZ8dZqcqYNxWkqwO1T893PNppcWhwra3nlubUsOnss0ajMe8+vYdlHW4hGZSbMKOa4cyei1ijvYTQa5aX7n+eD595FHfRzSH4U0WFZ6Kmt45u/3sfhf/8bC++9qluv2/+efJ0nbn6EoD+IWqPmjOt+w0mXL+rWsR3xurw0VrebEwX9QYL+ILlFuX2ebry/YTZoOWfeGJ79ZD1NrdkA48pyOG7GkN06nywrbrxtrvDQboAY9AcTXNq7+72o0WqSRhd9bl/yutEk5mIqjSplhlVPEvAmz6rwe/3dFriyLOOodcSJdYPZ0KMb5UIoKfvsn1nJcaRNpvYpThdC1ANb9/ZEOlAGnNZTJ+sLgesC9myrLp7JKIZVaX4hbN3SHCdu2/jow60sPGlEyp6dPYHepKdwUCGRcITaHbWxnfBoRHEblmW52ynE4VA4oRUJgKPGQW5JaqOYvugt63P74ha3AAjILszu0zrgPUXVRe21StXzi3SVpvsLuaA/xPefbMDZ6KZ0ZAEjJidPRJFlmeUbK1mxqZJwJIrVqOOwCUMYkNX9di7BQJBIOBLX5mZXMdvM+Ny+OMGpUquw59i5/LHr+eCf/2PD8rUYzAY+evkjooHEiK/JZk4YczU6efb6h9nw5WrUeg2/OvkwFly1CJVaRfaAbP73+BcUlNkJBcIs/2AjX/9vPQBOV7vg1msl1CpBOCLz+pOvcc4N52G2mimYOIryZ97i2bvUHHHGXKx2M+WbqvjXnf9FTJyBJAleenIV77zSbgi27LMdzPl1GSefORF9ax2gkCQOWnwtn998B81btgFgyMymxnwI73+R2CZr2bJyIqUBfn6nim1f1MfGt29opKbcySV/noMQgn/f9iQv3f88AGWZGgSJYsKxYSNhfwC1fucuq8ve/4aH/q89LTwcCvPULY+TOyCX2QsP3enxHUl2bwr6g/g8vv0ypbKvKc61cs1JU2nxBtCqVRj1ux/J87R44sQttBsgelo8cenHqUpPJJWELdumGAm2uihn5CSP2KeKTwgh0Bl1irEXikDOKuyjDdEUt/NdEaZupzshEu1z+3A1ueLSqtN0j7S83aewADft7UkkIVWXnV2mLwTuSuBuIcRwWZY37MmJhBCnAEOBH3pkZmn2CVyuRJMGUFIZPe4gen3vX8Z+rz9pyqbL4eq2wE3m+gxKVKetr6LbGR99NGWYUrZq6ElcTa7EQRn8Pv8+JXCtFi2jRmSx7qd4sZ6bY2RwWXJTor7A1eRh8SlPsHVtdWzs6PN/xdk3HZWwIPthaw1LN7TXnbZ4A7yxbD2nzhqHrVWwRsJR3nzyO77/bCtCEkw7bAjzz5iA1+3hrivv5PM3lyDLMuMOHMf1j9xIXtGu7zEKIcgpysHT4lH6QKtUmDJMsXT5+Rccx/wLjgPAkGnl1b+/EHd88fBSJsw6IG4sHAxx36k3sePHzbGxt+57Ab/Xx8mLz0eSJNZ8uYNn7/g0YT4WU3t6Z0NzkHBrj05ZlmlxtGC2mpl2yak0bNjC5qWf84/3v8IdEogMG7o58zDlZFKaa+JvdyxNOPeS17aRO0rP7ANGYmitMTbn53LEQ3fhqqwGWcZSVMgrz68HEgVuhCgBTyhO3Lax7KOtHH9eM3lFFv778Cvtx6SogRQqFVI3N7WW/PeTpOOfvvrxLgvcVL1N90b7r/0VSRLYzHt+P01ldOj3+pPW1kYjUex5drwtXsVFWafBlmNDrVF3q+RGZ0i+2WIwKdHOaCSKLMtIKqnP6sNNVlPSsp5d2YxJFQUOeANK7mGaNPs3+3VqTl8I3K+BSuADIcRpsizvVlGzEOIM4BGgXJbl1T05wTT9m6JiC0IkGgVYLFps9r4RX6l2wSOR7i/+unJ2llQStlwbKo0qZkhhMBv2usFUV8ZTfU00GsXjVNpcqDXqmJtnR4QQXHjueB59clVM5BYNsHD+maMJeH2EVfG1an3FU396O07cAvzv8S8ZfeAgph4+Km587Y7ahOPDkSg/VzYydZiSSvv4nz7hizfbo5Cbf6zFUevmp1Xv8PV77anDq79ZzbUnX8Njnz7RpcPo5p8aePmJVdTXuMktMHPiuRMYNCIrtvGyM067/jdodBo++M87+D0+Rs8Yz8V3XZGwMP75mzVx4raNT/75FguvPxu1VsPJf5jDum+3E+pQr2izhBg1SNmECYSivPF5u5C02K2xdkFao4FjH7mFHUt/4JOP17O6XuCx52M2ajhn4SiEN/nnNRqRaW7ws6mylrGDimPjkkpFRkl7+vK0mUW89+ZGIpH4m1H+MCNBd3KBCNDc4MVqVxPuUAtZ1RLGHYhi1sXfF8oOOwRJ3b2v5mgK8dmVy3xHZFnG1eTC71E8AZKlGPbFBlua7tNU72Hl5zsYPiGx3ELqorWU3qjv1mc5GTqDDluOLU5QavVabLnKpuHe6DVstpmJRqK0OJQNp7Ze57uSHt1V27A0u4aM3H9NptKx5c58zi8g4N7r31yyLMtCiGuBF4DPhBAfA/8BPpFlubLzw9v+RwghoRRBzwHOBtqaxd3R23NO07/Izjay6LTRPPfM2tiYRiNx/kUTukxJ7UlS1SPuypepVq9FZ9Ql7Bqb7e0OxJ17cfYVWr02qRHJrvTz7E0ikQh15XVxDp+eFk/S+kCrRcfVV06lpSVAOBKFoA+P001Tq27U6pXa6r5clK1fvi3p+E/LtycI3HCKTYW28ZodzXHito33n1tFdeWKhPFtP21l/XfrGHfg+KTn3bG5iTuu+phQUBFLDTUebv/9Ryx+YB5F3Yx6q1QqFl1zFouuOavLx3mcyXvbRsMRAh4/aq2GIeMHcNt/z+XNx76mud5N8bBc5hyZRaRxOxtWb+Lxhz+kyaVcB2qtmmsfuC5OvEtqFQN/dQDn/OoAvL4QHn8Yu1WHWiVRV52it64EBqsar7/rFmClZTYuvXoaTz74PW5XEEklKJ5gpmicmWhIRqWViATj3z8hQUGpDXOGkbySfGp31AAQjsKHGz0cVGYk26RCSBJlh89h0m/P63IOHZk8dyqfv7EkcfzQlG3lY/i9fhqrG7vcxDKYDftUBsf+TiQc5a4r3iMUCDJkzAxUnbwbzHYzLocr4V6uM+r2uNTFYrdgMBkIBoJIKgmdQZdSCMpRJasi4AsgJIHZZt6jcolkCCHIyM7AmmmNtQbcVWFqyjAlpHq3jafZdfZ7xbSfIMvy7L09h76gT7ZmZVl+SQgxAbgWOLT1H0IIJ7AdcAMm4BWh3KEygeJO8xPAZ8BjfTHnNP2Lw48YxMCyDNauaUClEkyeUkDhgL6JbkLr7rfNHGuRAMqOsT3P3u1zCCHILszGWd/q/iiUNKu+itJ2RUZ2BgF/IE5AGkyGfvNF39LQktC+IugP4mpOrJWKRqNKFDwcQYpEcTk9Ccc1NzSTmdd3OWgGU4oUP3PiBsKALCst3sRU17Ya3KZ6T8LvQMlwkCQ90WiiSPN30bv5/Vd/ionbNkKBCO+/+hPn/mF6yuN2xrp3v+abf76B3+mmYMwQDr/ubErGDFJ6aHZKo8wpzcfYoV534OgCLr9/YaczTmXQfCiadRTLP12OSq3i4AUHUzZyUMo5GA0ajIZ28ZtbYGbuMUP56M2NcY8bMzsbrV4VS0/uiklTChn/ZD7O5gBRVZR3vluLDKi0ghHHDmDtK+VxK73jfjOOzFzlc/SHh67jxpOvxe9RsjRaAlFyT1rECRccj6RWdzty28bcU+axbf1W/vvQy7Gx+Wcu4Ohzj+vyOL/XT31F4jXWRltf21010UvTu2zb0MD2DYofxb/vXMFx54whM8+IqzlAVkEmJqsJnUFHY3VjzEVZb9KTmZ/ZI++jWqtGre36GpVlmfqq+riNXL/HT2a+Mr/O1DW7qGt2oVJJFGfbMadIh06FkAQqaffEu96ovDbNdc1KqVBrL+V0u6vdIx0pTdOf6LPcI1mWrxdCyCgit+1Oa2v9J7eOTSYxJ7ztdyuAY3vQjTnNPsaw4VkMG94zvUx3B3uuHb1JadwuqSSMFuMu74rvqijuK1RqFXkleUqNVkRpZ2AwG/bK4laWZeSojJBE7PmDweR12J3rmqORKLXltQliuDOpath6Cr/Xr/SeDCnp1Mf/9mDuvfTFuMcYzDoOOm5CwrEHjRqIw+WjtsNmytRhRZS2pgMWlNqQVIJopzRZjU5FbnEGVVvjzYIMJgPDxw9LOdeW5uStyZ1Nu92ynB/f/JzXfn9v7OfGrVVU/biR81+7m5NuPo8Xb368fX4WI+f+4/fdvtbGTh/H2Om730ng9IsnkVto4rNPNyMjUzLaQum4DDRqFUO62bpEpZLIzFIWwdOGD2TZhm3IQMFEO5ZsPdHNftRCMHx8DlMPHRo7bsz0sTz8+RN8+eZnBPxBxs0cz9gZySPr3UEIwfm3XMxRZx9D9bYq8orzKBpastPjWhoT64g7kpGdkU5N7ocE/e33tY2rG7jzyiWoVIJIROau1xTncLVGTV5JnhKZF73Xtz0Vfo8/aW2rs8GZIHDX76hm1db2RL6126uYNXYoORl9t+lrspowWoxKFFjquxri/ZH04jxNf6JPv8FkWb5BCPEW8CDQtrKTU/y37S4TBP4B3CDLcvebuaVJ0wsYTIYeT7XqL0iShNlmRpZlvluyiq0/lWPPyeBXR05Db9y1XfXdxef20VTbRCSitGXKyMrAYrek7APcOc3YUevYqbiF3l30rfmxhhXLylGpBKNHZJCTpWfg6Gx+e+fx/Of293E1eSkZnsdv71xIfmniho1eq+bXM0dT0dCCNxAi22okp0Mk3ZZtYtGVM3j27vZaWyHg7GtnUTR0LteefA2NtUr9sd6o58YnFpOR1Z5qXLm5kR+/3o6kEkw8eBDFZXZWfxtfHwxQPGj3Tbk+f/ClhDHHtmrWvvMlc88/lkEHjGDD1z+i1WuZOP9AMgfkEAqGqNhcjUarYcCg/F5baAohmHfcCGYdOYhNFbXUN7io2tjMtm8a2Zbn4MSLp2DLTm1UE41G8Xv8sV6xw4tyyckwU1HnwOf0kF2Yi3aGcr2qtWqM1vhz5ZcW8OvLTkl26t2mcNAACgcN6PbjUxlKASDok77baXadkmFZGMxafO72Db9IRCYr30xOYbwo3Bt1sZDalCwSjiDLcuxz7fT44sQtKGUYS3/ayoKpY/tUaAoh0td8mjT7GX2+RSvL8jdCiAOAw4GTgFnAQKDj3dgJfAt8AvxTluXUuVRp0vQQ29dv5cHf3cPmVRuxZmZw3KUncsxFC39RO7qyLHPnlQ/xzjMfx8bKRpZw7xu3YNuFNjW7Q1v/xthcojLN9c1IKgmL3RIz32pDCKW2q+PcvS4vjloPQV+Y7AEWNNrki5beSr1+//0tPP/C+tjPn31dx6kLBzJ0kIVJhwxl7qJpRMKRnUb+VZIUi9gm48gzJ1I0OJOVn28DIZg6dzAjJysC51/fPM3KL1YSDocZM3VszIAJ4Jt3fuLBa94hElbqLp8zfM6ldy+gZLCNHZvbDWRKh9hZsGh0wvNGozLvv/AjX7z1M+FghFFTBnDKZdPQG+Nr1D0Nie6mAO5Wk5pBk4YzaNLw2PjPP2zmprPuoq5Cef9HTRnGLf/+A5m9mO2g12pRNan41xVfx6LhP1HD+u+qufXp4zFZEzd1wqEw9RX1hEPtAjEjO4PMTCuZFiN+rx9Xk4toJIpGpyEjO3nblZ7E1eQj4A+TmWvqtqhRa9REQsmFiNFi3KW+tz5PkPoKJxlZRjKy+0dJw/6KyaLjsjvmcv//fUjAq+z3W+x6Lv/rYQn1uHuLVJF/lUYV913a7EmsfQXw+IOEIhG0u5iun2bvItN/U5T756zS9DZ75Q7Smmb8fus/hBBa2k3Zm2RZ7t38wTRpOuGoaeTG466mxaGkdzbVOXjqpkeVdK/SAlZ8uAxJJTHj6IMZM2P30yP7O5++/lWcuAXYun4HD9/4L6576PJefW5PS/LaUo/TQ25xLjlFOTgbnUrar1aNLccWZy7kbPTw5OLP+XmlYuJjztBx2jUzGDw2N9ZZTZIkrFnWpLVg3UWWZao3luOqbyZ/SBEZrbW89fVeXnhxfdxjw2GZV/9XzjWXjYyZ+fRUX+NxM0sZNzOxl645w8JBCw5OGG9p8vLI9e/FxC1AwBfi8T++xz3vn8c3n2ynvtpNToGZg+YNQpek/darj67gzX+ujP1cvd1J9bZm/u+BI2PiKhKOkDW4iMqViV3h8kYkztfT4uX6RX/BUdcuitct/5nbLvw7d79+805ehT3jv49/n5DqXV/lYsmbGzjq9MTPeVNtU5y4BSX1UmfQoTPo0Bv16I19Y8rk8wR59KZPWPHpVgByi6xc9pfDKRuVs5MjwZZtozaJWzeA0dz9NiufvbaWp279JJY6O/eUcZx9wyF7LXr4S2DcjGLu+u/JbFhZjSRJjJxciMXWf4zAdEYdBrMhYUPSnhO/WaVLIWAlIVCno6n7JOkCwjT9iX6xRSbLchCo2dvzSPPL5cvXP4uJ2468eOczNDvaF95vP/kGl933e+aeekRfTq/PWLfi5+Tj321MOt6TpCqvb2t5sjPx8K9bP46JWwC3M8C/bvuCqx86krJRRYpxiNizFhChQIinLrub799S0oMllcSvbz6XOecdQ0WFK+kXvMcbxuUOEfQ50Bo0WDMzdvv594TyDQ1xNXxttDh8OOs9zD02dZ0uQCgY4e2nVyWMr1tRxcYf6zCb1az7dhtyNMSEs46hfuODBN3tUZoxCw5i2JwpCcev+XZDnLhtY+UXa3DUNWPPyei1LApHXfJNlaYU46lqt4P+YMpeod0lEomyYtMOttY2IsswICuDacMHoksREfvnbZ/FxC1AXUULd17+Nn979RTMGV0LHq1eizXLmlCLq9VrE1yTO6aVdmTD95U89scP4q75j15YTWaeheMu7NrFORwKEw6FUWvUXdb6fv7el7zw+Ku4nW7GTB7Nb68/H/MebE7tL9hzTEw/fMjenkZShBBkFWThbnYT8AeQJClmftWRXJuFTIsRRycX4+FFeUg9+HkPh8Kx1nI9tbmYJjnRdKw0TT+iXwjcNGn2Nl5X8gWts5PolWWZh66+nxlHH7xLDeX3FcwpUnfN1t7/W3UGHR5n4vvQnYhYNBJlxceJ/VUD3jCbf6xn1LShPSKS3rrr2Zi4bXvel256nAGjyrDkFiU9Rgio2LCZh6++B0kIrvj71cxeOGeP57KrGJOk3Hbnd214XYG46G9HlryymiUvroiJnbzSDE778xXULv+BgNvH0JnjGXfswUnfA7mLnq212yrxtbjIKshG3wu174WlGdRVJBouFZQm34QQkkCOJC7idvXaikQiSjuXQAiVWoUl08LSjYq4bWNbnQNvIMi8SSMTzh8ORVj2YeL13uLwsWZZRUrx01jjZPUXm4lGo4ybOZjM/EzczW5kWUan15HRYTPB7/XHItYqtYqM7Iy4zIcVH21OuqHz7QcbUwpcWZZxNjhxNbliYxa7hYzsxE2M9179kBsu+FPs57Ur17NmxVqeePvBftO+LE1yhBBY7BYspDaLkiSJWWOH8f2mHYqLsiRRlp/NqJL8HpmDLMs01TbFZQbZcmz9omvB/kp/TVFO88tkn8ojEkJohBDH7O15pNn/GD55ZIrfJN6ww8EQd134bMrF/r7MvJNnY7QkConjzz+y15/baDHG1dSCku5m7UbtryynjgBbMy07FSCRcISAN7BTg6ofP1qedHzNR8sZNMjGyBGJplGWcBUPXnUX4WCIYCDIPZf8hW3rtyY5S+9SOiKXkVMSRfiBRw7H1o3aSYvdQEZmcpG55OWVcWKndruT9577iQmnzmfaBScw8sgZiBS1qKOnDsdqNyeMFxRnYbAYiEYiNFTWJe3TvKcsumJ6Qq3t8An5zDpmeNLHmzMS5ymppF1qKxKNRKnbUYeryYXf68fT4qF8S1WcuG2jzummMcnmWzQqJ6RWdzx/Mn78ajNXHnI/D/7+VR6++jWuPPR+NqyoIK8kj/zSfOx59li9cNAfjKs1joQjOGoccWmn0RSft64aHXhaPHHiFsDV5MJR40hwRH/o9sfpzNqV61nyzhcpz59m30KnUXPgyEEce+B4Fkwby+jSgh7L1nA1uRLKXprrm/F7d60siQAAIABJREFUdt8dPk1q5H7+L80vj31K4AJW4LW9PYk0+x8TD5nMcZecGDeWU5yX8sa4dmkVHz73Xe9PrI8pKM3j3tdvYdj4wWi0avKKsvnDfRdz+Emzev25hRDYc+3kleSRmZ9JTlEOOQNyumXSo1JLTDpkcMK4zqBh7IyBXR7ranJRtaWKuoo6qrdV01jdmHKRLlLUFkoqCUkSXH75ZGbNKiY720B+vonwju/Y/M6LRCPthj6RcISVn67Y6d/U00iS4PcPHsfMBSMxmLWYMvTMXTSei27vXrq9JAnOv2kWQop/bdzenwkG3QmP37y6vcZTEqnfQ4vNzNzJA9CK9vNa1DJD/PWsWLNFaRsly/hcyU1p9oTCgTb+/J/jWXDmeA5aMIxTr5jG/z1wJGpN8lRGa5YVS4cNE41OQ05Rzi6lPrqd7oQ63lAXUWxvkpYrWp2aUZMLE8f1aoZPTBwP+kPce+mL+Dzt5wr4Qtx32Ut4XYkL/lT18B37gE+anbz/8KRDUvcl9ruTiwuvy0vN9pq4DI66quTeknXVO/ecDARDbK6qZf32SirrHV2K7jT7J51rgHc2niZNmv2LfTFF+ZdjaZumTzl78QVMPWIGW1ZvxJJpZeoRB/LQ1ffz2SvxpktqbTFC0rDphyo4cy9NthcZPmEwj31y5157fq1ei1a/6ymIF9w6D1eTjw3fKa0njBYdl92zgKyC1BFgv0fpV9sRr8uLWqsmIysxTXXyMQdRuW5b3Jikkph41AwADAY1vzm73ZzotFEPkGz/OFU0c08I+IPUVjShkgRZedaEWkoAk1XPpXcd1e1z+twB/nXL+3z38c8ISVA2Lptt29/HbCpGCAmvrxavrwaDJot8y8S4YzV6RfRJkoQqhWCMPc9PG/lVVgR3GCQBZpVyo69ds4m6IUXkGfW9JlKyCyycdMkUmhqa0Oi0KZ23QdmEsWXblGtDZpfchtvoLG4B9CoVWpVEsFP0VQDhZjdBuyUhLfeiPx/KXZe9w46NSuRXZ1Dz29vnkpWfGGWu3tZIS2OiaPW6/JT/XMfwA9p758qyzLZ1lWQXJl7/0Q5CfPS0Ys664RCe+ctnRFrnPXPBCI6/aFrqP34nL5ej1oHOqEOtUTNwaAkb1yamYQ8cmmhU1hGPP8DSdRsJdnida5ucTBw6sF864ocCIZwNzlhNsjXbmjIFu2pHNc88/Dy1VfWUDSvlrMtOx2JNfL97GlmWCXgDSmssnRa1tn8tHSNRmaXrqiivc2MyaJg+qiDlY8u3NPPSYz/iavZTOjSLo88cl+ACn2Z3kPtxinJ/nVea3mS37lJCCAt7R2hOJX2lpulFRk0fw6jpY2I/X/H3q9m6ppmKjYrJkkqTh1qrpHkaLX3TGzZN97DYDdz8zClUbGzA7w1RNCQbg7lroezzpN7lTyZw512ykOYaB5//+x2lbtGk5/S/XcrACckNmn51zCzeeuL1uDGtXsuwSSNorG5EZ9Rhspr2eOG9ZUMdD9+xlLoaJco5fLSd31xxAAUl2XGPk2UZT4uHgK/d/CXVZoIsy9xzySus/mJLbGzVpzuwqgdQ3/Rj3GODkcQ61mmHD0EIQU5xzk7/PpVajUoEyei8zpQk3KEweZBUsHeFLMvIURkhiS6ff8vPW7n23D+yab0ipg45chZ/evAmzJbUadtCiN3+BkxmqiQJwYSCPL6rqiESVb7iBDAy04ZGknA5XGQVxKe/Z+aaueWZhWxZW0fAF2bgiGws9uSp0gZTF/XX5vjfvfPUl6xd+jOL/nB4zGCq7b+djYLmnTaB6UcMo3pbE/YcE3klXfdONlqMO42gBf1B1Bo1//e3q7hk4VUE/O1R57nHHsLMudO7PH79too4cQuKwK12NFOY1f22U36vH3ezO9bv2Jpp7fGWT6FgiNryWuTW9zwUDOH3+skrzYtziAfYvmkHZx1xPi3NSor3p2/Dp29/zr/ff7zLa3VPiYQj1FfWx6WQ23JtWGz9o5Y1GpV56t01rNvuiI19s7aKi+cllhls+7mZf975fay8aPXSStYsr+KGh+aj1fUv0b4vkl6cp+lP7O4negdKunCaNPs1ao2a82+7kDvOeSF+XKvi0FMmpjiqdwgF23f6VWoVGVkZuxXp3FtEo1HCwTBCCNRada9EU4QQFA/beZuU3UVSqVh0+0Uc/ftFtDQ6yS7KRduFCdaZ159DfUUdy977GgBThpmzbzwfi82K1+XF6/IS9AWx59l3+/XweYPct/grnE3tQmDD2ib+9ffv+cNth6DRKQtlWZZx1Djwdkj1dTe7yRmQk1Q8Vm5qiBO3bZi0uTh8m4h06OaWlW+nqCibik0NqLUq5pw4joWXz8RiN+9UFNQ2etGNH0vgq2Vx40KvQzd6MDqVCltuJjpD4hwbN25l9TOv4W1wYC8rZuK5p2CwZ+Dz+HDUOIhGogghlNRie2Itttft5dKTfkdNRbv79qfvfEbkwsUcOvdk3M1+ykblMm1e90zKNq2pY+v6eowWHZN+VZJ0g8VoNlJf4UCrb48UCyEYVJKLQa3i/9k77/C2qvOPf472sizZ8nacoew9CYFA2QVaSKHMAgVKgbJLW9YPSssuhRZKGWW1FCirlFX2CiuEkL2nMry3bMva4/z+uJZsWZJXHBOov8+TJ9bRHedKV+e+33d83+qWNpBgN+gwa5XvLhpJ37NWo1UzfmbmaFUceaU2Zh42jjWfJKuhTzpgFKXj85PG3n16CRXbahk3q4y5R05MzK+t2UfJ2JKUY2fnmsjO7ZsInSnLRCQcobUxVbE+jniLoVkHzuDZj57gtWffpL2tnalzJrPo7B/2+j20+dKnQXt8fugjwfW3+5N6cgd9QYK+IPkj8gd13fK4PQlyG4eUEk+zh5zCnKTxh+96LEFu49i1bTcvPvEyF1x97qDNqTvc9e6U+uiW+hb0Bv2gP39CgRDhYBiVRoXBZOjTZ73W1ZBEbgECoSivrajk7ING0d7amVb/0Wu7UrQzdm1p5Mv3dnLYiT2ryA+jdwwT3GHsT9gbl9U3lesz/BsaxpBixqFjuPrBk3n+nsU0VrdRNDqH8393DCMnFQzZHCLhCPXl9YkUwXAwnDC4vg0kN+AL0FTTlBDA0Rl0OIod33jbBpPFlFRXmBjvRSHbkpuNzmpmd3Ut7b4AGrWa4rwcHPbOqG8kHKGloYXzb76Iky89Da/HS15xHtpu6YfeNi/m7NQ2Gn3F1vUNSeQ2ji0bmmlr8ZFboMwp4AvgrtxO2NsEQqCzFqEzO3DXuykanUqS2lsyR9pUQpNEcM+58jROu+hkAt4QOoOmz31QV68q5+5fPkeowc1YrR172K0c35aF7fxF2AsdzJw8GmMactu4xcWbl/wf0WAIgNrVG6lctoZjH7qdFrc3YRzHlXtValWKSNSqpWuSyG0cn73/OXVrClGplEfkqsU7ueQP3+/R4H7liVW8+viqxOv8kixueOh4HEWdka5YTPKXX77G+iW7OPL0aYyfo/QwzbIb8bZ5UUWilFpSo3HxaF5rUxv3/+ZJln+0Fo1Ow1GnLOSiW85Cp+85xVIIwdUPnsHjN77Osnc3IaVkzpET+cXdP0q5poA3iJTw1K1vsfSt9RSMyMHd4GHi3DFMOTC9+BaAv6mWmuWLCXk9mPKKKTnwaNS61HvammPFkm2hqa4ppSZXq9OiN3TuM2biaH51+xU9Xlt36LUaguFUQTK9tu9pqC2NqW2rQoEQ/nb/oKrnZ3JcpEtjr9hZmXbbil3pxwcLgQwOg6A/OKjPntbGVtqaOzNBdHodeaV5va4lde70tfn1bj/2AjvWXGuiTVBT/ZK02zZUe9KOZ0LA04KnvgIAa0EZess30/ptf8Nwrfsw9id8EzkZkv6T44HsM4xhDBrmHzuR+cdO/MbO72nxJNW/gfIwaWtuw1HsyLDX/oFoJEpjdWNSpCIUCNFc10xeyb6LtvYFepMee4Edd7074TqzZFt6bSURjUbZsGM3gQ5yBbBtTxVSSvJylDRNb5s3QeizHTayHZnTN8Oh8IAJbizWk1HRuWzWbVmOt7Yzghdqq8FUMBmDrTRtr9PS8XnojFpC/mSyYLTomDp5HFvXbcVqy+Inl53GqReeBIDB3HeDt6XBw+1nPEioTTFQN2NCozIy/bz5jFwwHn1UQ0k4C70+/eey6onnE+Q2Dk9VLe/d9Q8OvOT0lO29rd4UguvPYLwDSDp/b0ve2sq8o8cy76j07Xe2rqlNIrcA9VUe/n7XF1z7wHGJsWXvbObr97YCoNWrKR7dGVFsd6c6WkCp840b6Tee+Uc2r9zRcUHw6uPv4vX4uO6hSzNeRxxmq4Ff/vX0xDqSKbI+eb6T+kpFBG3rynK2riwH4KRLjsx4bG9dJRuevY9YWHF6uLevo8W1gSln/wq1NvWeUKlVOAodtDS24G3zIqXEYDSQU5gzoLrmrnCWFLB6++6kMYNO26/05Gi478Rzb6DVadOq+kaj0ZTfZFFZEVvWp/YpLx7RewS/N0QjUWRMotaqU9YBIUT62spBtMj8Xn8SuQUIBUO4G9zkFqYq03dFtiX9+pDdsRapNeqEIzW/JIvWplTHXX5J39OtW6p3sefrD5Ax5R6pVqkZNf8YsotG9fkY30Xsz2rF++u8hrFvsTcE90Lgw37uczzwB+Az4H1gLdAAdHfBmYA8YDpwDDAHuBIYeunRYXznEYspaYz7owBJHJkMrlA3A39/RNAfTEnDA0XgKV4jOZSIRCJoNJ1LnyXbkkidVKvVfYoqN7a0JZHbOCrqGhMEN9aPNlLp6jL7irGTHOgNaoKB5HukZGQW9jyF0AU8LbRWb0/Z11e/FaO9NOXe/2rxMl58/N+ErPU0t0Sx6caiEhq0eg1X3n8ys48Yl3YunlYPkUgUW05qX9PueO9fSxLkNo5ITLDhvV1UVFsIb1WiaF8fvpvLbzssJZLTXpteTbc9g8puuujCjl0aVGotsWgyiTdoclCrkonZ7i0NGQnujg31ace3r08er9imzM2aY+TgE/rmMDOYDKg1ajZ+vbWT3HbB+y98xmV3npuxh3V3pCO2u7Y18fSf3mTP+jXo9WocJVYaqzoJx8mXH8mcIydnPOaeT15PkNs4vHWV1K/9kqK5h6XdR6gU1XRbnvJ7Gaz1tzDHxqxxo9hVU08wHMFqMjJpZAm6fvzGNFpN2rZUe/M7TQeLzZLSNgkgEooQDoWTxKZ+cd3P+WrxsiSnTHFZEadd8OMBnz8WjdFU25Qg2WqNmtyiXHR6Ha1NrQR9wbTfi1AJjIPYlzroT81A6Wm8K2aPy+eztZUpkdxjDxiVsu0Zl87lD1e+RzjUuVY6J+dx0PdTFfjTIRoOUb7iowS5BZCxKHuWf8SU43+KWjMsVjWMYewv2JvV+gMpZXlfNxZC3A+MAWZLKVOlEVOxGYUIPyiEcAL3AhOklHcOaLbDGEY3REIRmmqbCAUUomK2mrHn24eccO0N+kOivk2IRqN89c4SqlyV5JcWcPAPD0lJ7Y1Go4QDYRCgN+h7/d6WLl7GXdfeQ8XuShwFDq646RJOPENRFFapVBmVS9MhHEkfyQl3ifBoDVrIXGqYgMFkSBu99bX7aG3oUFfVabDl2dIalVabgctvOpiH7viSgF85f16BiSt/e0iCzAS9GSYio5itydf90Rsfc/35NyaNWQpinPeLy5l/zCQKRyXXBjZVN/DIlX9i45friEQitMgQhTOd3P3k7RSXZY4uuetShakAYr4A0t9pQC5fvJu/3/UhZ1/9PQxdxJKspUW4d6Y+ghpblc+gN4GkWEyycmUrZVMXUb7h9QTJ1WqyKLEdlHLc9R+s5tTLFySOHQ4GESqBRqvDmCFybTQnG7zZeQoJzR/RdwmLeBpoe2vmNkltzZ4+E9zu2LahgZvPe5C23V37ywoWnvhDDjp+IaMmF6A3aamvrCc7NzvtvRpsaUwZAwi40493xb5wLBbm2CjMSc6Y2LKtiW073Bj0aubOLiQngyAXKCJKDZXJjhKDydCvfsd7i2g4Cl0+6nGTnTz9/hM89cCz1Nc0MGrcSC6+5mfYcgaeHuuudydFkOOCUjqDjmCa9lQAaq2a3MLcQSX7mdqI9dReDJRnQNDj5exDRvHJpnrqWgOYDVq+N6OUiWU5KduPm1bAzY/+gPdf3kx7S4CycTn88OxpPSqnd0XA4yYWSXV8xCIhgu2tmGz7dzbVvsb+q6I8jP9FDHSF6tddLIT4HZAFLJIDSNLvIMQnCSEeE0JcJ6W8u7/HGMb/BqLRGFs3NtLWEqR0lJXSsvQP/1gsRn1VfVJkNN77sbu4x/4AnV6XVn3021Dzojcq5LN7FNdgNqQlpZFwhFvPuYkVH36dGJs4dzJ3vHxPwsAMeAM01nSmPWu0GhwljhTl0Tg2r93ClWf9OpFi2FjXyO+uuI0sq4XDj+9/j1+TIb2wlKmL8W+2mvG3+5MMSLVWjdVuxd/uV1SYjXqsOdYUI9/r8dFQ1Yi64/OJhCI0VjWSPyI/LcGYPreYe586gV3bm9FqVTgnOdB1Mdp0pvQpeEKlJtuRnAL40G2PpGxXuWc35oJACrkNeAPcceoN1OxQ6gA1QoVDGKhbs5Mrzvg1L3zyz4zfiaM0feqh2momUpWcrvvecyt4+4m3sBeMpXCkg9OvOoi5vzibmlUbCLV3tr8RVjtLVnvJff4rjj5TUdsVQlC5vY75xyULJEWjMSLhGNa8cUw8+BJ8rdUIlQajsCOrk2swVTE/7m1KanHQ56N25zbCQYUAGCxZzFo4glcdJloak0no0adOSXq98MSpvPXkMppr0/eZ7Q6dQYfFpkThnVNHotFpiISUe7hoZD7HnfU98opziIbDREKRAbVveeHR5bTt+bLbqGTjsiWcc/0pgHL/RUIR6n315BTmYMoyJd2z+uwcAu7UyLk+e/9YS994awev/rczg+H1t3ZwzVUHMGpk+ueDwWSgoKwgSUU5nUjZ3kKtViecMN2R7rt0ThzDbQ/fPCjnllImCc4lxmMyI7ktGlOUNGefx0ckFEGtVWPKMg1YZdqYZaStuS3lczD34LSJhCPUV9Qn6pgPHWXFYMrHUeLo8XsaOT6XC/9v4YDmmS7dvi/v/a9g/7dGhvG/hIES3D6v8kKIEuB8YNJAyG03/BLYJIR4VkpZtZfHGsZ3DH5fmD/f9gXbNjUlxk46czI/OiM1tS7oC6ZN+/W2efdK0XZfQWdM//DsT9RxMLB7VwtrV9UhBMyaU8iIDAZiV6g1ahzFjiSRKb1Rn9GR8MbjryaRW4AtKzbx3L1Pc8HvLyYajSaRW1CMnaaaJgrKCtJ+d68/92ba+rmXn3p1QATXbrXgsGfT6O6MjKrVKsaUdkYshRA4ih34PD7CoTBqtRqz1ayIHdnS9670BcO8smQ7m8ubkMAIm5EjxjowdZBVb6s3Y61uVrae6XPTR0wNWXbspeNwVyanKRdNnItKnfwYqK2sS3uMdOPrPlmRILddYRc6tm/bzaY1W5hxwLS0x6urV6MxZhHxd6ZoqvQ6dOp8iCY/KmKxCAGfj8aqXQS8Me659HWueXgRLDyLtqWfoZUBRswcy5xzF/HeCX/m1YcXs/z9jRSOctDW1M4pVx6bYnxrtWrGjrOzY7sbjc6MNa8j7VrG0O9ZSUCVR0xo0UY9WPzbieltNFa7qdm+EaMlrkwNgXYPQlRyw0PH8/jtn7Frk6Ki/P0zpvCDc6YnndNsNfD7F37Ks3d9hLuuHXtB5h6mFrsFW64t4QRyFOXw6/su4p4r/0bJ6AJufPQyDKbOe6Guoo6iUUV9FviKo7a8DmTqWnj4j49Ku31zbTMetwdHsSMRxRtx6Am0VbiQ0c7fmNFRSMGM1Ej43kBKycqN9Wza0YxGLThgeiFjR/bcmmhPeWsSuQXw+SI88c913H7zIRn30xl0g+LsjEaiiXp8rV6b5BwQKoEtz6ZoAHSBxWbJ6Bj6JiEQCXLbUNWQRITb3e3kj8jv9/0HSi1yXmkezbXNRMKK0r41x5pxnQRFlKq7SFfAF1Bq7XvYrz8Ih8KKqrNKhd6kR2+xkVUwAk9dRdJ21sKR6M3DjUWGI7j/exBCFKCUlMaklJu6jB8O+IHlUqZ5wAwBBkpwfwikSk+mx3HAUillz83v+gAppU8IsbTjmE/s7fGG8d3C8/9Yl0RuAV59fhPOCTlMm1WYNJ6uJjSOWDRG0B9MGCQDFf8ZTBhMBiw2S5Lir1AJ7AV9F07ZWyz5rJwnH12TEDV6/ZWtXHz5HA44MLV1SHcYTAaKRhcpbYJUAo02c5ugbau29Dge8ofSfn/hYJhYNJa2htbbnj6909vet0hadwghGFdWjN1qod3nR6NWk59jQ9/NKBVCYLb2LXVUSslzn2xmZ00naa5o8fPulnpOmlaIECJFaKw/8x0xcyFGqx1PQxVCpcJWMhZ7yZiUbcucI3BtTm0PVOYckTLmTaNADUpfV0hfI756dQWfLd1Ba06IGVcfjuvfm/DXtyE0WvTZeURDbaDtJC2xaIRgm1LLGgn7OsYkD17/PkqJnnINyz4Gy7w27nz1av52/QuUb60hGpWcetX3WXD8zLTzvPCy2dx751Ia6pXjqtSC2SMFri/3YGJP0rY5Eyfy6A3/4vQr5yXGhFBIrt/TxugZY/ndEyemFexKOk5BFlfe/yMiEUUZPZOSrhAiJcPhmDMOJTvHhFanTSK3ymcSo721HWuOlXAowlN3vsznry8nFo0x7+gZXHTLGRgtqZkHxaPy2b1E0D3+0qMoWjBMU01Tom1OVvEopv30N1R//RFhbxumvGLy5x3De++UU1XRhj3HyJHHjcGes3cpvq9+4OLtT3cnXi9eVsmlp0+mzKFX1muDNqVf7Z6K9KnwVdXthMNRtFplvYhGooSCIaVcwaAbFCdn9ygjgN/jJ7c4N3F8i82CWqvG11GPbjAZMFkHT6kZoOqr5ZR/thQZi1GyYB4jv3cwQggMJkNGleTuUKlUCfLa3tKeEuWNt7Eb6DNJb9RTNLqoz5oYmfQnurc0Gig8bg8tDZ2ZHFq9QsJHHXAMVWu/oLVmFyDILh5NyYyBRYSHMYxvG4QQauAnwI+AQ4G4FzAmhHBIKeMGzPeAnwNGIcTfgTullO6UA+5DDIjgSinTa62nhwMYzO7oqo5jDuN/DDImaW9tJxQMoVarsdgsSXVAm9elF3rZvL4hheBmiohqddqUpvYWmwVbnm1Io7qRUITm+mbCgTBCLciyZ5HtyMZgMhAMBEEqKWxSyl4N6sFAe3uIp55Ym6TYG41Knnx0NdNnFmAw9L6UxA3H3pDJ+x4f7/FaM7w1c/503nzp7ZTxWQfO6HU+GU8lBHn2bPLsg9Miwt0eSCK3cdS1B2n2hck161I+PyklAW9AqdPVapS07wyfjxAq8pzTyHNOS+xbV1WvCMvk5yT2u+YPv+aKU3+ZJLLzveMOZeExB6ccc8xMpXdkd5n7gIxitWUxcUZnWxkpJU/cuZhPXtyYGMuZZmfGlXPY/mIV/nrFYPW7K9FmR4nGsomGfHgbdxGLdBjTXWryvK0BhF6fdL3/eXQlD79/Dlc9eBY3//xO1q9eyvrLlvLh2wdx04O/IaubinJBoYXb/ng4G9fVEwxGcY6zk19g5q+Vu9i5+BMU2idQFU1m0pHTWPnByjSfa/z64q/79lvUaDTkl+VTs7Mm7fuZ0j3HTB6ZkZTEsxQe+PVTfPDCF4nxd57+hPqKRm5/8ddJ8wsFQ5x87kzWfzobT2XytZmyenbMhAKhRPsVAHNBKeNOOLfjuFH+cPNnuLZ32jOffrib3951GPmFA6sVrm3wJpFbgJEFRuzaCD6PQiADvoDSPq00P+EcsHSrjxbAIQfksWB2LrW7q9Eb9BjMBlqbWhMcX6vXkleSt9dtzFrqW1IcGH6vH5/Hl+T4MpqNgyra1BVbX32TlQ8/mXi9+6NPad1TwfSfnkFOYU7S804IQW5RLkF/MEX8qmtmU1y3ojsGQ/Swr2nOarWaCKlZOSrN3pubQX8widyCQpzd9W4cRQ7K5h6x1+f4LmI4fvvdhhDiJBQ9pFHxoS5vqwArHcojUsrfA78XQhwM3AisE0IsklImtxvYhxiKNkFVwA0dzL53xYkeIITIB44F3hyUmQ3jW4NESlQXVUVvq5f8EfloO3pA6vTpjRFdGgEJjVZDTmEOzbWdDeLVGjVqrTqlbUN7S/uQCoxEo1HqK7t4/WOKoQSQZctK9FeNQ2/U4yhxDLj+qS+oqW4nHE6NHgYDUerrvJT1IVW5rzj+vBP54Ll3kwiWEIITfq60otEZdag16hTD0WA2oFanvwdOOvtEVi1dzdsvv5cYm3PQLC76zc8Hbd57i1APgmHhWAyD2ZDUvkhKSWN1Y9L9qjfpySvOSxj3G7/awauPfEBbczvO6WWcde0JWLJNlLvKuf5nN7Jtg5K6OWfhbO58/DZy83OZs3A2T33wJK/+8zXa27xMnTOFH//spLT318gpYzjztxfw/G2dBnRExmgzCe75x51kWTsJ5Zdvb0sitwDN690YC43kzbZR/m49sUgAv3srLfVb0KmKEN1EZvTGLtEhlSqFTHpaAng9fn512o1UuDqrWD5760tujf6Re567NWn7WCzGJ69/xsYVW7BkmykrORohLFz59NVsXX4Sm7/agWNEPvO+P4kX/vQOe7Y24m0LYrYmR0/1JjNqTf8fpxqNBo1WkzZ93mBOX+dty7dRuzt9ApVGq6GloS2J3MaxcvEGdm+uZPRkJRLf1tRGa1MrWRa45v4LePlvxVRt3YhOr+aYMw7j+2cfR2N144AiYovf35VEbgHaWoO89OwGLv/N/H4fD6CmITXb4qg5eYk69ThCgZBCIDvqN6dOdlBSbKGqWsk2OOSAPI5a2NHDXCpkprtabzgY7rWNmZSSgC9AKKBEfU1ZphRM5vhHAAAgAElEQVRCHArt2yhjbwh7fax+7J8p4xueeZGxxx2FKc9BQVkBoUAIKSVavRa1Wo3BbEBn0BHwBRBCYMoyJWUyZUpDHkh68kBhzbHSUJVc952u1/VAkFHVOUNt8jCG8V2HEOLXwN10ktp0ntyUsY6A6PFCiOuA94QQB0gpd+27mXZiKAjuh4AR+EAIcZqUMrVXRR8ghBgP/Bsw0P/2RMP4lsPb6k156MRiMVoaWsgrVYyQQ44cxfN/X5e0jVanZv7C1NRKUESA9AY9wUAwka5VV56+/jDoDw4ZwfV7/GnTFj1uD1qdNsWzHPc25xQMrqCLjCkGXDQaxWzKbLhkZQ1uHfCYqU5uf/mPPHrjQwkV5fN/+3NmHjobUDz8eaV5NFY3JgR3DCZDj/VyKpWK2x/+PYt+cgK7d+yhqKSQBUfMT2oX9E3DYTViMWpp79Z31qBVM95ZhDXbnEToPG5PijMm6AvS5m4jOzeb1Z9u5uYzHkjUPW9ctoN1X2zlrteu5pdn/ppyV2cd2covVnHDBTdx72O3YLBmMX7qOK6755o+zfvEy09l8oJprP9iDfV1jYyaNZ75R85PqLvGYjHe/ecSXv3b5/hb29EarGj0ndGr1u1tFJaYCHoqaK/7mljER0wa8Efd6NVWVGgASZQwBlMn4RBabUr2giTAL0/8TRK5jeOLd7+i1d1Gtl2plZNScself+a9lxYntnnpoVf4y+t3MfWAyUyYN4oJ80Yl3iubUIi/PcQ/bv+M8248BEu2QkCb6rw01rVTuSvCAcdM63fUL680T0lVjnb+5u359oz19VqdEl3sbtyrtWr0Jj3VO9OvYQBtHb12A76AErHsQEGxmctuPQVT1k/JLeoU/9LoNBnJmFavzXitVRXpVbury/sgK54GUkpEODVqbbOkr1Pt6jDQ6dRc88sDePb5jWzb4WbBnJ77qsYR8AV6zI5paWhJKhlpa25THK5dyhTUanVarYehIoLe+gZiGRTfPdW1mPIcaRXG46TWlJU+Vdqcbcbb6k0Rheqtf/hgwmA24Chx0NbURjQaRavTYsuz7XXUHTJnYexv2hz7E5Q+uPtnDHf/nNW3B0KIc4A/0klgA8A6YCdKuaofuLqnY0gp7+7gcQ8CP9h3s+3EPrfupJQ1QogngF8AG4QQrwEvA19JKSt62lcIUQYcCPwYJd9bAzwupUyf0zWM7yzS9SQECIc7x79/4jh83jBvvbKVSDhGTq6RC385j6LSzA9djU6TpFaZqdXMULYOylRnGYvGMnqQ+1pH1VdEo1EaKpNTtc85ZzzPPLMtabsFC0v3uq4uHaYdNIMHFz+W8X2tTkvhyEKFvAkyRm67QgjBAYfM5YBD5g7mVAcNGrWKsw6bxNMfbcLfQdz1WjU/OXwS2WnStkP+DGmCHeNP3/lagtzGsXtzFS888N8kchvHqi9X8/jxP8ei0zDllOM46OqfoeqjsTh2zkTGzknt6yql5OFrXuT9fy1NjEWC7eiz8tEZFQKsUguaNq+itULxW2blZONrjAIR/NHODAtHoYOTL5lPY42Hz9/YAtEooouDQkpJTfXX+P3pSxUAPn3hA074xckIIfj641VJ5BYgGIxw67m38dLm51P2PfTkuXz+2ipWfLSJOy54neIxdqSEXZurE5/z9IUTuOW5K9AZehYI2r5yC0v+8zHhUJhph85i3g8OZvuaXdRXNqFSqXEUZ44cgmLcF44qxNPsIRqNolKpCPgC1JfXI6MRzFYj3rZk2QuNTsPI8Uq9fF8jVJnuMZVahaMos1qtxZz+vjFbBmZyeNwecgwwqczC5vJOUun2hDEbku8BIUSKAnG2Vc9lFysOssrtlX1Snxc9aGkGvIEkcgvK+uyuc5M/Ij8xZs2x0lidnLimUqv6XJe/tzDm5oBKQBrNAnP+wCq9QoEQTTVNnZ+hUNbjeAnNUEBKSSioaDHYCzI7gwYKo8VIa1NritbDUH1v31YME8nvHoQQWuAPKOT2DeBhYLGUMtxtu0v7cLgbgN1CiJFSyj29br2XGKrwxbXAQcB04JSOfwgh/CgpzC0oHgFQIrQ2oAQl8huHADYAvxmaKQ9jf0KmnntdI3BCCE7+yRQWnT4Jvy+C2aLtt8fVkm1JUbQUQmDupR5tMJHpYa0z6DLWmPZkjA0ELQ0tKZGb8WMtnH7GeD78sAIhBHPnF/Pj01JJzVBBCDEo3vqhhpSS9TubqKjzYDFqmTMxH0tHTfjIgmyuPmkOO2tbkVIyutCG1ZT+fhDqnp0xdRVNhKUPSQwNRlRC+awy9Z8FiEmJjEk2vPQ2equFeRef2ev1rFlSzrIPdxKLSmYePIIDj3Emfne7N1Unkds4gp4GtAalPVLeFCuuN9/FZDEx5cBpnHjRqVx7xu0pWQzHnXUEp1y+gKZaD8s/2knAF0bGYoiO1Onx0+1UVirZDamSSaAFnv/d47jWVPK9c05i07LNaa+ntr4NT3UtWcWddfttNY146pu5+v7TWfLuJnZtqKJ6Vx2rPtmQtO+6L7by0l/e4ezrTsz4eX3138954OK7EqT4o2feoXjmXDatqk5sU+Is4I+vXUtuYWbBHq1OS05hDtFIlNrdtQnHmFav5fwbT+Zvv30xkeEgVIIr7z0XW54Svc4YoeruyMuwrFhslh5bEi1YWMzniytoa+tcQ1QqwRFHKQQ7GonirnMr2TMqgSXb0mMbnqBPybL58aHFfLauiXU722jxRnh/ZQM/PboUTUdEVAiBzqjLGHkEZR3NRPC7wmQ1ZZxPplrT7uNGi5Hc4lzFERGJotVrsefZh2zd0luzmHLmKWz817+TxsedcCwGh4PmumbCIaV+PzvH2mubqWhEcXwmOWGlUiazr2qIu0NKSVNNU1LbvMHWydBoNeSV5NFU25SIwFvsFqy5w0rJPWGY4H4nsRAoAn4mpXxqbw4kpawXQnyGIk71zCDMrUcMCcGVUrYLIY4GXkeJyMZhAsbFN+v4P9MK9TVKH930sp3D+E7DbDXT3tKeUquW7oGjVquwDDBt1pxtRkpJW3Obosqp02IvsKc8+GOxGOGQ0j6gJ0XgvsLv9dPa0Eok0ikWlNQ/VaMmJz8nMbfuT5LBVt3MZAAuOKiI4xZNGtRzDRbiEYX9OY1MSslzH2zlq42dNZQfrqjgqtNm4shWDESLUcf00T1H8EBxxsSVV5PGbRaaG5qp9W6iLaZEQAUqslUj0QsrNc0Gxh74U9zVm2kqX57Yz6bVYOlieG9/59NeCe4H/97I0/d09lD98t0dVLrcnHqpojRcuyeT7IJEpY7xvXNmct5Vh6C9/eSkd3/3+G/4wxUP4OswYn9w9tGcf+0ZABhMghnzVaz6IkY4DDIWY8bCUk65ZBa79nzO1rU7UFw+MWTH40QN5GuUmt3lr73LqrV6NBk6zZk04GtsJqu4kFg0yju3PMGK594FQKVRc8z/nc+xd5/GHef/Le3+W1akKlDHEYtGeeKaB5Ii62GpTyK3AFWuOh667llu/ucVnZ+YlAT9QcLBMGqNGqPZiFAJRfG9W9bHjIUTufkfl7Brcw0yJplzxDTGzRjVeY1ZJtqaeu87araaaWtKdoj0xeGXm2fh4ssm88G7ldTX+8nK0nLYEcWMm5Cr9CCvrE+Qb6JKyxdk+vUcOom3Wi04fJYDo0HNe8sbqKgP8MTbFcyfaMOoV9PYGuL0k6b1omKdk6xxgLJ+Bn3BxJgpy4QtL7OKdCa9A6ESiYh6fA4miwmTZXDX5/5g+rlnYinIp/yzLxUV5QPnMuYH36e2vC5xHwb9QfztfgrLCnokuX6vP22GkbfNO2RCjG3NbSk94dtb2tEZdIMaYdUb9RSNUlSdVWnq/YfRHZL9l+Lur/P6VmAqsGRvyW0X7EEhzPscQ1aAJqVsEEIcghKBvRaIu6a733ndiW4rSmHzvVLK9MUkw/jOQ6VWkT8in9bGVkVFWaPGareiNw1uCx8hFMXiLHtWxvorf7ufptqmRPqS3qTHUeQYcF1V0B+ksaqTCISDSu89W54NGZOo1CqMWcZEGq6j2EFzbXPCOLHYLFhzBtezrBIqoqSpHRtEIav2mlrWPfUvPBWVGB25TDnrdHInjOt1PyklrQ1uIqEokUg00TcxbnjFe+zGo/6t7lbeeO5NGmobGTNhND84/Xi0GTIC9jXWuRqTyC1AS3uQf3+8nUtOmp5hr/TQG/UIs56gx4dWqIjIGI3BAKLdxL1X3Ulbe2d6ryRGS2w3hbYDcceyMWTZKZpQgs6UQ82W98g26jnvlO+Tl2WmZvlaAk1uYhna18QR8IV57i/LUsbfeGoNh580EUdRFgVl6esddQYtj31xCSZL+t/vYYsO5sCj51Kzpw6bw4q9g2xs/noH911yP40V1Qh8CLUeW56V488+DK1enXh6CCQ5AiJCokZgUakSrYsAiPiI6UrIMaymOZD8CJpbpCGrpBAZi/HFIy8nyC1ALBLl3VufwD6yELM1fcQqk7AQQGtjC+3d1GmjpE9n3rzclfhbSom7zo23rVNoKd62JJPtVjQqn3lHzU5bXqHRalL6jsbXva6w5liRMZlQ1FVr1Mpvq5dInzHLSGFpNqec3uloVGvU2PJtiup3KPVR3uZuIysnfRTXbDUnkRpnkQmVCmIxqHMHeWOpUnd8wPSCXtcojU5D4chC/O0KWdMZdOiNeqSURCPRpHY4mWDKMtHW3JaSZSCjkmpXNUIlyM7N7nNNajQSJRaLDYqztDuEEDiPOwrncZ19jd317pTyhVgsRmtzG7k99f7NcK/1JeV7sJCxTMcbGPQUYiFEn8pfhjGM7zAswNZBPF4usKnXrQYBQ2rldTT7vVsI8RBwGnACMB8o7LZpHbAM+C/wkpTSwzD+5xE3roYK6QyNSCiSXH+E8sB117uTxFn6A09L+ts7HAynvV6j2UjxmGLFGFOr9ol6stlmTig3xxEXHhkM+Bqb+PDq6wm2KKIzLTt3U7d6HUfce0ePJLduVzV/vfBO9mxQomRj507i9Jt/jrlLjWrQH6ShqoGCsgKa6po4/wcXUV3eWbb/3qsf8MAL930jJLeyPn0CStfxphY/e2o8GHRqxo20oc2QzhiORHDV1dPdtnRV1LD26/Vp9pCoi+2JlF6A3BGzOffcOcw8cDJ6g0I2x/34OL6++xEKp4zt8Vqa6tqJhNKT4LqKNhxFWYyeUsKRp8/noxeTifDPfv+jjOQ2DoNJz+hJZYnXz979Fi/d9x6gAlUpQgbQRCtoqa3jncdf5ajzT2Tn1j2AxKqSaITygDOI7tEXAVozUqVn/MiZtDSspc4n0atgikPFqdefR82y5ax98ml2bE3fP/mfN/yVs/5yEx++8GXS5y+lZNXKZdRV1lNQmk8kGGb5c+9Sv60cacpm4x6D0upIdiUX6cmBqQuB9nl8SeQWlPWhtaGVbEc2QogUkmEwGXrUDuhL31EhBLY8G9m52UokS923SJYQgtzCXPwWP+FgGJVahclqQq1OVamPo6fe5EaLEXuBnZaGFmRMkp9j4Ozjx/L8uzsJd6iPjxtp46wTJmQ8Rleo1KqUaLUQImMpTLr980fk4653EwqEECiR2/h3IGOSloYW1Bp1j2tmLBajua4Zv8efOG5uUe4+r2WNpBG+UsZ7jiFk6glvMGVuTzbY6K8AVCQQIBoKo8uyDEdh9zG+S3FSp9OpQtH+OQMoBUYDOqAG+ApFS+g9l8u1Ty7b6XT+CKWP7BxAEaWAj4H7XC5Xugf8vkI9ClfbawghdCjpyf/ubdvBwDcSxuhIM/57xz+EECYgGyVq2yKlTG9VDGMY3zDiyprd4fP4yCnMGdADtLsnvbdx6J8xNhBYsi3ImJIOLWMSjU5DTkHvkZu+YscbbyfIbRyxcJjNL/6HhTdfn3afcDDMvWfdTO3OznTOHSs288Itj3PBfckCfpFQhKA/yF9ufSiJ3AIs+3Q5rzz9GqdfcMqgXEt/YDamj9aZjcrnunRtDc+8tYVoh7FfnGfmyjNnYremGpb+YCiF3IJiZOQU5+FpSa21FapUslwwamxS3bfWZGTu1RcwYtLoHq/FnmdGpRbEoqmTyO3odSqE4Ir7zmTMtFLWfLoFrU7DYafO48Bj+xetXv3plg5y2wkpDETJRyNrqHJVsnH1No798WE0uyoIeX00SxNCbyGyPrntnmbcXED5POvVY/nt44toWrMKpKR0wVyIhfny9j/2OJ+a8hpcW7cQ1DWjClhQoyVGGG+siZDPy5IPl3Himcfyz3NupnzlFqJCS4VpPlGVAZXZSay9s5mADj9BLEiSv5sTftbZazNT39FgIIhao8ZR7KCxpjFBEnUGXZ+dgX1xkAmVQN3t3tm2eisblq3HaDay4LiDsTmSU3oTDrFuQcxMvbC1+p41EyzZFsxWcyJltHSsYNa0Iipr2zEaNJQVZaEaQjHAeJ0mQHNdM97W1DZG3lZvjwS3paElQW5BWfMbqxopHFW4T9d3jU4DqdNF28v6rtVrySnIobmuMztEq9MOuoJ/TzBZTWlFFbuX6YR9fr7+84NUfK6UUNjGjOKg//sN1hElQzLPOKSUhENhpQZbp92n3+s3Dfkd8R84nc6xwCMoHVsucblcTR3jo4HLUBSDLwC+dDqdF7pcrkGLSDqdThvwLHAI8CvgZJfLFXI6nTkoIk1rnE7nrS6X65bBOmcvWAI8LoQ4WUr5yl4e6xaUCO6SvZ9W79gvfmkdhHaY1A4jI1raAyzdVEO7P0xRrpkDJxUlhEX2BSLhGI0NXiwWHZYu5KIn0hmLxgYkHqIz6NKmXWUyBIcCQgisOVYlxU4Ovoq0r6k57bg/wzjAzjXbkshtHK6VW/A0tZKVm9yLV8Yk2zftSHus7RvTj+9rzJ2Yz4crymltTyYsR84to7bRy9NvbSHWJZJV3eDl6Tc3c9VPZqYcS6/NrNQ7fc4U9mxyJY2pNQYsOcmkVQjIydGnEAu9LRutqWfRGJNFx6KfzeLVx5MJ5LzDSzF02XX3plpEJMooh6AkL4Y90pwkDtUXbPzKlXY8hmLUura4OLHsdM6+6rTEe8/8dwufr6omXFhCdJdCKDVjxhNtzka2Kp//9PkljDt8HrkjC6lctoaWinoaVnSKYmVZwB8gpVyhPhSk3LWHsPQlKT3HEY1EWfniB5Sv3AKAR1NIVKVE5TQaKyqhJixjSECnAiMtuGNWomo9VruFUy4/lkUXHkVbs48vXt+ILU/PiPGpglNxcmowGygeU0w4GEaoBFpd3wT22lu9NNe3kl+Si6Ef5R6vPPJvHr3p4cTrp+54gj+88idGTx7T6746gw5rjlXREuiAEKJPhLx7ymiWWcck59CRq0zIFH3uLXXX50k1e6SUBLwBLGmU0wcLVnsWPo8vKcVapVb1qdTFnG1Gb9Ir/X/VKqVUYggjo2armWgkqrS56ng22fPtKVHvr+97KEFuQckS+uTGWzju0b+gNQ6RIFZM0lSbLIiV7cge9JKiYQwenE5nEfAKcK7L5Vrd9T2Xy7UL+I3T6VyNQkIPApY4nc6DB4PkOp1OC/A+MA84weVyvdnl3M3ANU6nUw383ul02l0u1y/39py9QUq5RQixBHhOCHEb8CcpZb/adggh8oG7gPOA5VLKysGfaSr2C4I7jGH0hPoWHw++tgZfsDN9asOuJi48firqfUBy166o4bE/f027RzGCDz16NOdeMhuNVoVam5nARqPRARFca46VoC+YFKXRG/VD2lMwE4QQmWXf9gLZZaVpx60j0o8DRMLpW0UBafsG6ww6chzpVWhz874Zo9hi1PHLU2fx0uLtVNZ7MBu0HDW3jPmTC/lsVVUSuY1j6243sZhMiU7pdVpyLWaa2pNDMVatjvOv/DmNdX6++vBjZCxKXqGDky+6jCVLk4n1CT8ai9WaxpEi+ubUWHT+TFQixLqltUgpmTAzjwXHjMTj9mCxWXjtkc95/p4PEtub1EFmZb/P7s9XcMxdv+ozyQ35M/k/Y0gpaY+G+eSNT5h3+IE8d+9/2bWxEovdQm5JCU3jJqIdNxGkxNIcoHGX0j921sIRXPR/C9n+3ud8/Lu/IDv60FrtKuI/4xwbbKoL4FArxnNMSir1gsv+cj1T50xh2/pyvvp4RdKMNFoNcw+ZxYZn3+mcpeh0RggBOpUKHV2vPUaRupW/ul5OOLbqylu45SfP0lzXTm6Rhav/ejxNm7az9l9v4mtswVqSz+HXng9lBYBCdjOlkHaHlJInb3uRfz/4JrGYRG/UccUfz+P7Z36v1313b97FY799JGmspaGFey69i4c/ebxP5892ZKM36fn3k6/w9MPP09LUytjJY7jpz9cxZfb+KWLXE/QmfVqy2uv3kammdR8ne6o1agrLCmhze4iEImi0arJyrGj6+PzSaDXfaCQy7nyNRdOnzUcCQSo+Sw0S+eoaaFi/ieID5gzJPFubWlMEsVobW9HqtUOmOj2U2F/74PYT9wP/6E5uu8Llcv3L6XSeCixC6fryptPpnOxyufa2X+NjKOR2SVdy2w23orRdvcrpdK51uVz/2Mtz9gVXAks7zv0bIcQrKOnS61FEo+JGiKojIzcHJaV7FnAEcCwkxCZuHIL5AsMEdxjfAvx36c4kcguwo7qFFdvqmD+p/2JsUsqMyoi1VR7+eueXhMOdkdrPPtiFxarj9POm92iwDLT1g0ql1HP5PD6i4SganQajxfidrhcat+gHVHyxFPf2zsic0ZHLtHN/knGfUdPGYrKa8XWrRcwrK8TaTfE0p0ARmTrvqp+y/POVScqfthwbJ5/7o0G6kv7DYTNyaRpBKa0mPdnTqFWkuxWC/iB2tRat0URrKERMSswaLTadjsUf78GjPYADTz2YU35cxkGHjEOr0zLv4BqWL6tCpVYzc3YBs+cVUVdel9ISKsuWuWVLV0SjUeYcWsqcQ1MdEzvXVyWRWwBfVM+W9kL0Hyxh7DEH4zxyQa/nAPC314OMgkj+jcmYm+ZokAgxQsEw1574R/Zs6RrlXwk2HeosM6GmZjTRMDc+dhUjJxSTX5pLxOvjk1v/miC3AKFADE1HeaYQUFIgeHd7A3qVCn8syv899FumzJ4CwMXXnUdzQwvb1isZATq9jpsevIbRE0ZSXtBZk6+LddTZS0lMa0eiQpCcDTLh4OlJWRtP3foBzXVKbXZTTTt//9VLZNd8TTwvvaG1nVcvvYNzX76X3NH9S7t8/Yn3efGB/yZeB/0h/nTl4xSW5TPj4J4J5tZVW9JGJl3rdxAKhPqcefL+ax9x3+8f6jzu+u384uSreOHTpygZWdzHK9k/YLaaCQVCSWnKBrOh17YyBrMhhQABQ9JPVq1RJ8Tbvo3oqU1cLJK5ljjagwjcYCNTf/qAN/CdJLjfdnREb38M3NaHzf+OQnBBIXPnAo/uxbmPB+JtC57NtJ3L5WpxOp1vAqcC9zmdzjddLlfDQM/bF0gpVwshTkWpO7aiRGLPSze9DIeIGxP3Syk/GvQJZsC+y/EcxjAGCXVuHyoBDosOh0VHPLBU19L/rHaP20PVjiqqXdVUu6pTvO4rv6pKIrdxfPVpOaB4rtOljllzrHultiiEwGw1Y821YsrK3H9xXyEUirJ08W7efmkzq5emjyQOJjQGA0fccwczfn4uY449iilnn8ExD96LKc+RcR9ztoWzbv8Fxi41bbbCXH5y+8WYs83YC+zYC+wUjipMCMjMP3Qef33xPmbOn07JyGIWHn0wf3/rUQqK8/fp9Q0EU525WEypaccLZhSm3A9tzW3UV9QjYwqpLTaZKTVbsOuVdMH41p72MC/+ew+NDe3cedGDXP/D63j5lvvZ8fH7jB6p3Gd5pXkYs4yo1CpFnTzXSrYjO2Ue6dC1D3V3bF9dkXa8Nax8f007yvt0DgBkCGLlIDtS+WUUYvVEZSORDqK46cuabuRWQcztw7e7nIinnYAvyNvPfkgsEqZ2dy2NrkqioWRyH/BDqEvFwBi7nhOOm4V1bClF40cyZfaUBMHLyrZw29/+j7uevJk/PXc7r639F9//sVI7O+eMo8nqqE00RxqwhGtACKTaSCh7RhJZL508ivP/klxHvmtTsto2lVtBSrJK8hlz1IGMPHQOQqVizQvJtck9oaHOy1efV/DWM5+lvCel5LM3UlWxu6O5rintuN6o71eN/otP/CdlzOvx8tZL76bZev+GEIKcghwKygrIKcwhf0Q+jmJHr+u4vcCe5BAQQpBblItWl7n8YBi9Q2cxYx+bmi6v1utxTOqbENm+xHfZef0txzSUrnJlvW0IrOj2+gd7ee47uvz9eS/bftHxfzZw3V6et0+QUv4XOBlFdCp+A4su/7q/7joG8ICU8ldDMdc4BhTBFULcL6Xc57nfA4UQ4i9Syqu+6XkMY3BQbDdywmQHtg7j3+0L89/1dVj72SLI2+alpaFTGTgWiymKyMhEX8d0gjnKtp3jtjwbGp2GQLvinTVmGQe9PcFQwucNcfe1i9m9vbOWcO7CEVx240EDbn3UF2gMeiae0r9IqnPORH79/O1UbtmNSq2ibIoTnUGHwWTAkp2+Zm3B4fNZcPj8wZjyPkWWWcdVP5nJE69upK7JhxBw0IwiTjkqWVU6FAwpfUMzIBaTbNvRWd/o80W497p/s+7dztrSFR+v46af3Mtf378VtVqNoyizY6EnqNQqrLnWlF6pWfYs1BnIr1oohFRjNuJt8yrEqCPdUUrJW4/8h4+eeYeA18+kA6dx3p2XMGHOJN57+i2IuVCel8rvMdKhRqwTDiJePVq9BrVGEPB1RmmESJ7HrpVb8Ta1Ys7NhqzUMgAJtHvApTmYY84sQZWbQ2FpCQcIgbrDMO1qoKrVKsZNGUNeaV5S5M3isHHhy3fzwT3P0LC9nLEOHY4FU/FGDGTZDEyffxnuyir0JgOjZo1PSfm05phoaeiMCGpEhNFHHEOiN6UAACAASURBVMD8y85E1RG58je3Uv7JcvxtXprL67Dm28nKT5+Wv2TxHp58cCXRqKShIv3905PGAIC3rZ3/PJJeAPPEn5/UL0V3b3t6B6U3TarvtwU6g65f2glqtZr8EfmEg2FiMaXv+kAzgfY3RMIRWhtbCYeUvs3WHGufU+gHAwf936/55MZb8dYoLaTUej0Lrr8aY+4QCmJlmWgNpv7WjJbvXvR2f09O7qNLIZ5y8bTT6XwC+I/L5VqeYdvuTd57bjvQA5xO50IgLrQRoPc2Oiu7/H2B0+n8rcvlSk0FGWRIKd8SQkxASVW+COieaiJJ/qgFsAb4rZTyrX09v+4YaIryFUKIO6WU9YM6m0FARzHz5cAwwf0OQErJ4WPtqLqkxNlNWhbNKGT0uP5F4dKpXAK469yYLEo0a+rsQv7z7IYUddrpczpToYUQZNmyyLJ98zWyg4H/PLUuidwCrPiigk/f2cnhPxzwmr1PYMm2EIvGGH/AlMSYSq0aFINBSomUcp+0XeorygqzuOUX8/H6I+h1qrQtgjIp6gJEIjH++24lldXJJGH7ut0p225fu4sda3cxYbZzr+ZszbGi0Wrwe/xIJEaL4vBxziokom4l4peoVVo0aiNCqCgxuDEX5mGbOpHm2mYlalWci9Fs5JU/P8fLf3wmceylr39K9Y4KTrvhXMZOGsOezbuIdFR6SbQIVQEW9Kg6alwjoSh3/edqPnppGe88ozi5tXoLIb+3szVPaxv//dWfWPTANRizsyiaNZma1Z32hAAaNCOoixaxo6GU2XPzCXVJeYxJmdxTF+Ue7KpEHUd2sYNTuil8d0Xx2IKM75144YE8+JvONGJNfjHzLzsjQW4BjDnZBFUabptzHpGOSPSCs49l0a0XouqSUVJX054gtwAGeyFhjzvlnAccpdhY/vYAS99ZQ1tzO85pZUw7aDwAW1ZuxtOcqs4NsOjCkzJeSzpMnzuFcldqlH/63Clptv7uQgixTwQFpZSEg2GklGj12iFd16KRKHXldQmHSTgYJuANkD8if8hIblZJMcf97S80rN9INBwmd8K4ISW3QKJOON5HWqgEOfk5Q0r0hxL7q4pyP6YVT7HNRYmMXut0Oi9zuVyPpNm2uwG4Nxz/jC5/7+hD66FtXf62Ad8HXtuL8/cZUso24JdCiN8BJwLfAyYCcS+5G6gFvgY+llL2nha0jzBQgiuAqShFxvsbpn7TExjG4CEcCieR2ziyDRq0/Xxed63D7AoZUwwBnUHH6LF2zr98Lv98uNMYnDwjn5/8fEa/5/5tgWtL+pRD19bG/Y7gWnOtSCTt7vaE4ZZbmLtX6eGxaEcvyo5aOL1RT05hzjcmoiKESJuqHEcmQ1UIwdsf1bNqTbKzQqdTEWxO74v0Z+hJ2h/E0+vjWQxSSh668zGevP8p4g5da6yQrFg+U0pNHLhgJFPPOSmh0iylpKmmiaJRRbz50Mspx9+zcSf3nP075VpUakw6DbN+eDgfvbwFjUj9LHQGLT+6+Aiaalv4+sNNmHNHEaxrJxLyoBOSMmMEb0MLW9/5kllnHsux997AP869g0ilCykEjZoR7DYoNdINFT7yoz4iBhtSSvRqjUJupQQh2L2lkt1bqygsy8een4Mpa/AiMwsXKUTvjSe+wtPsZ9wPZqPqFhWvWreDTx9+ha4euaXPvoutJI/DL/1xYmz75qbEegZgKZ1AxN+Ov0EhmEIIzr3hFBYcO5um2hZuOOnPVLnqEtsvuvhILrrttB5JUn/Taq++7Qq2rN/Oji5q36eefxJHnHBYv44zjFREwhEaqhqIhBTHjEqtwlHsGDJi1d7SnjYboK25LdFaaSigMegpmjd7yM7XHfE+0tYcK9FoFI1GM+gdCYYxqFgDrEYRRwKF6/wCpWVQd3QXPti8F+c9tsvfe3rb2OVyNTidTh8Qr9c6jiEiuHFIKVuBZzr+7ZfYGwtuCvsnwf3fcv8OA4BwJEp1s4eojFFky8KoTzW2dHpdiphOOnzvmNHMmFdE1Z5WLFk6ysbYvtM1MyZz+uiB2TKwqEIkHMHv9YNUyOJgRieEENgcNrI7WgINxvfSVNtEoAvRC/qDNFY1UjCyYL/83g1mAxqdJmG8xpFlz+Kcc/Nobg7icinROZNJw8W/mMXdy9+joSo5g8loNjBm6shBnZuUksVvfcrmNZspKi2gprIWkLRRgzqmY/SxhzHx5Fk89uA/2bB6E3qDnmNOOJIfnnIcdTurCHp7z7KKhCLsWbGevBFFNFQmk/lZh01Eb1Tut/nHzmbbJhVqnRGtxoxKCgyxloSb3dvYgsVuQW00kHPcj3jzxdTWUeMn6EGlx6DW4GkN8sn7LlqaAjgKTQRa9/DKo531osWjX+WeV2+koDR9ureMyYTSel/vq4WLpiSIrr/dT2N1clbcziVrSUk3Ada/szSJ4Gp1yQ4goVJhnzAP26hJXHnNbMomFJNfoohiPXL980nkFuD1Rz9i9mGTmbpgCnkl+TRUJTtMZiycRbajf4JF9lwbT7//OJ+++znN9W7GTXEyd+E3R0aGCjImCfgDyKhEa9AOer2tlJLG6sak9SEWjdFY3UjR6KIhieSmU7XvOi5jkpbGloQGhtFsxJZv+0azZ/YlVGrVPi332V/wbY/gulwu6XQ6fwa8AxR2DK/MsPlR3V4/PZC5OZ3OXKBrGlVfBaMa6awVPnAg5/6uY28I7v4a0kptGDmMby3ijdEj4WRjXqPTJAyDJo+P177aTJtfUYbRadT8cO4ERuYnG1y2PBs+jy9FAVSlUaHtRohtdgM2+75XstwfcMxJ49m4KlnQRqtTc+ix/U9dDfqDNFQ1JPWFtOfbB72n42ARz2gkmkRu4wiHwoQCof0ylUylUpFfmk9zXTNBfxCVUGG2mbHmWBFCcONvD6ayso1gMEppaRZGo5abnryCm868B49bSdPXG3Xc8OhlWO2D973EojEaqhoYN97J9Xf8mlgsxlMPP8trzytptgFaqdhWw+9/9TbbNm1P7Pf4/f/A7wtw2rknc8LpR/PZKx/TEk5vIMdRX17Lre/+lvuuejYhLDXz0An89PofJrbRGsyodUbQqDAbChEG8AUaWOepYLY1TEu70ge0ubaZeQsL2bKukR2bO2v0S0dlc8RxxXi9YVrdQR65cwWeFiU9PORz07grOfOqelcd9/3qCf7w0vUp8/W4PbQ0tih9O4XAlm9L1Ix7vSFee2kL5btayLLqOW7ROJzjUlMp9SZ9ylqYqc1q9zVu6sx87LkG3E3J9/rhJ0xj7hHTksa2rtyV9phbVuxk7pFTuf3FP3DruTdT5VJaGU5dMJ0bHr+pX79JT2s765dtRsZiLDhsPtb9oCXaUCAaidJQ2UC4i7CZLd82qOUu0Ug0rSM3Fo3R3tKOt9VLJBxBrVVjc9gwdRHtGyxkEhuLP7Ob65qTBB69bV4ikQh5JXn7pVNxGH3DvmwT5LF2L3ntO7LUWWj6SHdcLtcap9M5FiX1NgZ80H0bp9MpUFST43jT5XK9McDpje/2OrV2JD2a6SS445xOp+hDavP/FPaG4J4thFAD6Z+G3wxGA5n7jAzjWwchBI4SB41VjQnDTqPTJBQqpZS8tWJrgtwChCJR3lyxlQuOmo2hi3dcpVaRX5ZPY2Uj0Y62IGqtmrzi/+2H6sz5JVx648H85x9rcTf5KSzN4qeXz6VkZN+UdOOQUmlqL7spMLvr3RhMhn4prA4WwqEwkXAEjVaTNlKSrt1J4r0u1xGLxpTaV6EIyQxVpCFeRxcJR9DoNIk6T7VGnTHVT6USlJUlf3eT547jyS/vYfWnG4jGYsw4aBL5pQ5i0Sj+Nh8mm6XfvwGlZplEf96WhhZCgRBSSkXJWQh+dvlP2b5pBxvXbkYiiamiSeQ2jpefeYVTzvkRCy4+mZ2friTS0EJ7D4JHOqMe54zR/HXxTbz++OtsX7ednHwz4XAIg1SUpLeubwKjFmG3oA4HiLnbMOhsNPoq8WvV5LGJR674HefecR0ajYqfXjaN9Svraazzk23Xc/gPJ2IySZqXf8kni7UJcgsQ8rWkndfGZdtSxnxtviRxOykl7jq3kq6o1nDnTZ9RWd5Z17rq62qu/d0hTJySHAlWqVTklf4/e+cdHUd1tvHfne1Fq14tyWXdbVzBNjaYasD03nsgoSckoYTeHCABAiEQOoEv9N6LCR0bY4x717pbvay0vc39/hhppdWuZDUbY/Sc42Ptnbt37sxOuc9bnjeX+krNsCGEYPQh+7D0rS+T9jlm1pSEzza7kWtu259/PfADlU0BhCKYOCaPs1KkXtjSrdRXJQvj2Bxa+PWgUYN5cv5/qNxcid6gI6+4e5EOaxav57ozbqe+Wjsnjsw07n7hJsZN++UGX0kpO6zJ2hb1VfUJ5BbAXe3GZO67SJfO9t9WnC4WiVFXUYeiKJhtfWvMtaXbaKpvSnwXCC3FJBaNpawZHPKHiIQjKXPZ+9GPXQmXy+UDPuyky++Allp/39I73tG+1mUoZa9ktO1nQcvF7So5/lWgNytOA3BuX02kD9EqsdmPPQIGo4GCQQVEwhEEAr1RH3+J+4Jh6jzJYY3haIxKt5dB7RRFjSYjhUMK4xZug8nwqya3LZh6QClTD+iKMn7HUFWVWAeet3AovEsJrpQSd7Ubb6M33mbPsJORmxhurtPr0Bl0SfMWQmAwa4Q4FAhRW14bzylrIZftvf5toaoq7ho3IX8IoWg5qvZukkgpJfWViZ4OW7qNzLzMHl2zmbnpHHzyjPjnz558h3fu/S8hf5C0nAzOvvcyJs7ecV3aaEzlrbkuvvlxO6GIyrCB6Zx/wmjCzTUfW+bW8v+4yWNZuXQ1aeZsRk0v4eMUiS3BQIhQMITFaiGtIIcxRbkUH7IPwyaP5NV7nmPDkkRSfMzlJwPw14vv5Ot3voy3f/rSx/zl8ZvYsAV+WOVBydFEMUXcuKHNqWCIkexMPZMsDdS6XOQ4neh0gglTWkWfTBY9JrsVe4aV6q2JEQ5CSX0tp8rB9XlSi9v5PD6WLHEnkFuAWEzy+osruWnOAUnf0Rv05JXkxQ0zxcOK8de5ee/OZ1Cbwz8nn3wQBzWfn7ZwhyLUm0I0bV9F1Ofjm+pMJkwvYP8piff9Mb85iEevezGhLS3TxswT9ol/1ul0DBjSvdq7oBmcbjrvr3FyC9DU4OHGc//Kq4ufxtLHRGtXIOgLUl9ZrxlNBTgyHTiyHSnv0ZA/9do1FAj1GcFVdApGszFJjK7FINwe3kZvnxNcX6MvydCJ1I6/s6iYHal492P3huiOnFM34Wjqee62Yo32ju20gdPpnAD8rfnjF8AxzYS4p2hfgqOrhZrb97OxCwiuEMIOTEErUbRYSrmpg34PAnXAR1LK9iWVdgl685P3s4J+7DIIIVJadnWdeNI62razVCt/7VBSCP7Et+3E/KPtGyqY+9o3BLwBxkwZyf5HT8HX6Esgt6AJnxiMhoRwaSEEOYU51GyviS+uWmpR6nS6eO5a24VXLBqjtqKWgoHJ9WmhOQduey2hNlEF7ho3akztcn1Z0MJa23s6fI0+jGZjhyWRuorv3/iCV299qnVftW4e/+09XPfu38l1FrHi++WoqsqYKWNJz0qc8xuflPHZ/Fb127Ub3fzjP4u5+KiBpJL6ikQijHCO5Z5nbyMU9cNdyX0KivIxW7RFdqC+kdLJozj5z2cD4JwwgudvfoxV85Zhspg46KwjOPKSE/nq7S8SyC2Au7aBu654lLSRRwMi7k1Wg9pvEYpoHqziPO16tJp1LH/yWd5YX4zfv5LDTzyYU35zHHqDPl7yZ8CEmeQN+JBNG1p/T7MjH0/1etRY4hrjmAsO5Yf/LeDt595h5ZLV6PQ6rr33zwwYmIIMSqitSZ1zXFfTeamclutue6UX48TJnPn6WNKiftLzs8gqTVZmjkRVHn36eza8+Boxn7YW8wB3n1/GqG/uJSe79Xo68vyZxKIxXn/4ExrrvTj3KuGq+88hu6B7ObapsG1DBVXbWlPMCkpyGTSiFF+Tnw2rNjFmn5G93seuRCQcoaa8ptWkLjUhJaEIHFmOpP5CEcgUpej60sgqhCCnKIfa8to4ydXpdTTWubGnJ4dC7wxSGfSnFq8LBoLYHDbtPLQnwIJOjYa7MyLhCOFAGKEIzDbzHptLvEPsrkm4fYRmcvsZmoLyP4E/u1yuHQu7dI723++qYmb7fr2dR6cQ2kPqFuAPtJZTigkh/iyl/GeKrywADgY+EEJUAFdIKb9N0W+noacE97k+nUU/+tFDWEwGBuVlsKk6MWQww2am8FeS19UbqDFVU6rWKegN+l4ttIQisKfbk4ilwWTYabmsKxeu5dqT7oqrAb/26PuccPFsTr/ymJT9g75gUj6w0WykYFBB3LtiNBvjCsrhUDjlAjAajhKLxlIqLYcCoQRy24KmhqYOPTup0JG3p7G2sdcE97uXP0tqU2MqHz/2Jv/7+nvqqzXxprSMNO74vzmMn65JG6iq5MuF25O+W10fYHtDlNLMxIWdqqqcf9U5DHigleD95g/n8fSDra8Qk9nEVTdehhCCVe9/g7++iaEzJ8a32zPTuOxf1ySM+8OXm/ngtS04SmbicZfha9qCDoFRKPjrq+L1G4QQqF4/stGLFAFGT89m1MAsBigbUcPaNeMwBChIL6JSKrzy9BuUb67g7udvixtlhBCccsn+rFj8IX5vC2EwMnDcfijRDWxcuRlrmoXjf3sE7tqt/OmU+wkRAwRmQzZff7CQMy5LJrhmq5n8gtT1s/MLd/z7vvHRej78YlP88+hhWVxxXvt0Lg117iBbv/wuTm5bEKyq5qV/vc+Vt7ZWqRBCcOzFB3PsxQfvcA7dhdHU6kmffcosZp0+gzXL1qLT61Bj2j21M+vAqjFVI18SjBZjr5XS/R5/yngxX5MvJcG1OWzxkjEtUJTEMmctXtbePIt1eq2+bktaz5O3PYa30csZvz87bvRp+d9o6Z6xV0pJU30TQX8wrqBuTbMmzLejuQshEIoguyCb2orahHOXlZ/VKzX8nQUpJb4mX1xl32q3YnW0Hq/X7aWhutVxpjPoyCvO+9lU+H8+iJ3qwe0deh/Y6XQ6ZwGvAwpwusvleqUPJgbQPt+lqzdk+0VV6uLmfYBmcvsucBQakW75ofXA34QQj0kpE6y9UsqXgJeEEJej1cx9Twhxh5TyHztrnu3RoztQSnlBX0+kH/3oKWZPGsbHi8vYWKW9ZPLSbRw5eTj6Nl7D1T9V8Prji6ir9lFQks6ZV02hdOiurYm3u8Hv9VNfUR9fUJmtZrKLsntlfc7Iy0AoAl+TDyklZqu5xyG1XcF9v38sqdTNW09+xMT9xzBwWFHyFzqYhk6nSym20tm86yrqyC7MTlrIdOgRkRrh6/IiroNdf/Xe96xYuJabHr8aaw/r/0aCqcnzgrnfU9/YqkzscXu47fybefGnV7DYrcRiKtFoB8dn0KM3KgnqrXqDnvwBiR7FK268lAlTx7No3mIEMG70CNKMJn54+h2Wv/k54085BKU0l3XL1zF0zNCE69HX6OXei/7J2kVlCL0ZS85obFnDGT4W3HXL+Oaj78g0JIZbXvDbsTTWFTB230Hom0OVo74mqj98jnBdJWFfDKRKevoQKivn8+1n37NumYux+4yK//75xQ5ue/xI3nl+GbWVPvIHpHH8+ePIybdTWd/E9+s2s3r+Mj574g3CxNApFooy98ekT2fp3AjDR21k8kGD43OyZ9ixOqzMOLCUb77YTNna1nNuMuk47dzOq90tXlmdQG4BVq2v5+1PyjjtmBFJ/a1mPeGG1NFrtVuqUrbvDBQNKmDsPqOI+QwMnVTMVWdcE89JdWQ4uOuxm5l+2M4RBA2HwtRsS47U6E0N7Q5z+DtoTs9JR0qJ160ZAfUGvRYtotdpysI17viz02Q1kZXf83JlQggMRgOrf1zFm4+/jqJTGDlxFBNnTo5vN1lMKYl4R2gp6dVC9kAzxMWisYRxbA5bSvG+llJiFruFgoEF8XHMNvNum3vbWNuYYJQI+oJEI1HSc9KJhCIJ5Ba03Ob6ynrySvJ29VR/fuyhHlyn0/kb4DFgDXCyy+Va24fDb2r3ObXVMxltFywVLper9zX/OsZ1wFTgIDTP7EpgUPM2HVrKasrQ6mbi+y8hxKfAZ0KIbVLK13biXOP4tZmY+rEHwmw0cPzUUQTDUVSpYjEm5tWuW1rFPVd9jNocGlZX6eOuSz7gzmePI79kxy/3DSsq+erN5QT9YUbtU8IBJ+71i8/bjYQj1FXUJSzEgv4g7mo3WQU9J/4tdf8ycnsfzpgK4WCYpromotEoer0eX1PqUM7KLTUpCW5niqE1jR6Wb6ogEAqTbrMwYUgxNpMxpYp3y1xqttWQPzA/gYR1VPZDp9N1y3jQ0SLxu49/ZMUPa3jouqf4yyNXdnm8thgxfRwbFiW/o+s9nqS2xrpGXKtcjJ2yFwaDjtKiNLaUJ/YTAgqzTETDiSG3akzLRc4pShRM2u/Q6ex36PT459oN23E4rJiGFXHfrf8i+ISWAzph3/H87YV7cWQ4CHj93DD7D5SXtYZHxxo3YxpyOGWrs7nxvktxjnTy+stfY3DaiWzxMX3fYmYeO4ZtG8sTFIf1Ngc5h57GqvvupTFgIdC8psjMzuS3156Nw2Fju2s7tjSblretCAqKHfzuhv0SjqPJH2Tu0nX4m4KseE1TVZZAfvoUTHottFuq8OqDP/Lte+v58yPHkV2QHg/FNBh0XHfr/rz31lq+X1COLxAlI8OMa2MjgzopT7a6rL5b7Q67kZyCLMprkpVIS4e0LsTLVrmY+8ZcwsEQk2fuzX6Hz0jq3xsIIZhxyH5sWb+Nh25/JEFwqcndxJw//p13l77a5548KSV15XUJxqcWspY7IJfG+kYiwQiKXsGR6cCW3rU1ptlixkPyPWOypo5YEUKQmZdJRm4GUpUJqRsNNQ34Gls97CG/pkhfUFrQq9qpm9ZoOqBqTOXh6x9kr33Hk1+ST11lHXe+MKdbz6RIKJJAblvQWNdIWkZafJ7WNKt279e6teNUFDLyMuJh/6A9Jw1ZP39IciQUwduo1e01mAykZabF77tYNJbkcQctDN2eYU8ZqQNaFE+Lh/zXhD3xaJ1O5xzgBrQyQJe6XK7O80e6jzKgbU3briYbt+23pE9n1AZCCCPwR+BsKeVXzW2XAK+hhWrfKaXcYQ6ylHKdEOJC4HkhxFtSyuRFVR/jV5oo0I9fOsKRGGo767nZqMdqMia9VD58cXmc3LYg4Isw940d1+Ve/JWLm0/9Pz7570989eYKHvvLRzx+40edqu/+EhD0BVN6GVItXvoCUkrq1qxl2zff4t7QM+H1cChM9dZqAr6AttDyBbjtmavJzE3Oa80vydVIdsulILQyUR0R3JpGD3MXr6WivhG3L8Dm6no++Wk1wUiUnAE5HZLWaCSakG8WCUeor0xBMgRkFWR1a8HjbfTz8j/fJ9ScRxf0h3hmzmusWbgJgK/em9fj6/Doq09n7MHNnhxFIHQKU04+EK+aOo3HaGz1rvzmpNHYzQr+2koCdVXIWJRRNg8ZltSvk6aGppTtbZEzZACmkjzuvekhgoHW87lk/lLu/ePfAfjs+Q8TyC0AMkqkaglqTNJQG+Do044kL8eKYtGRNTaT8383gVAwjN8X5M3n3+afdzzCC4+9RENtA8bMPJoimfwUmgIIojEPf7nvKvbZfxKKoiBVibfRm+ShaYuyilpCgQjz7vkKt0s7TgUdFkPyGqXc1cj6JdVJeYY6vWCty01MqozfK4PBpRbmflzGe+8l1+VtgUGf+lyHaip58Kq/c/tZN/HCvc8lXJvX3nMOSrvw34zcdI678HAA5n/2PRcefCHP/+N5Xv73K1xzxjU8PufxDufQU9RXNlFTVR2/rtuiqryamoqelwPpCGpMTWmkklJSU15DyB9CVVWi4Sj1VfX4mrqmGWO2meM1uVtgspjI2EFNYCFEArmVqkwgty2IhqMJ90NPkJnbKrQopWTZvCXMfeUT1i1Zg9HcvdSRVOdQG5h4ZYIW2DPsDHAOoMhZRJGzKO693Z0QCoao2lKF1+3F7/HTWNuolblrfq52eLxo5Lcjw8OvjdjuiXA6nTqn0/kMcDVwscvlOq8jcut0Osc4nc6jerIfl8sVBea3aUoWUUjenwFo64n4uif77iIOBmqklJ+2NEgp5wJ5QKaU8o6uDiSl/AwtlLrv819SoN+D249fFDaWN/Lch2uobghgMijMmlLK7H0HdvpCaWpIvUBoatgxmXv61k+JtQvJ/PL15Rx00jhGTC7u3uR/pVAjERb8/X4qFvwQbxsy+wjG/+7ibi0EmuqakghdWoaNw06bySv/ei/eNmz8YKbOmoTRZMCWbovn9XXmqVixqSJp7GA4wvryasYNHkBuSS7lrvKUVvlYs3qtGlOp2VYT/9wCg8lAdkF2twVUVv9Yxqcvf8v/Xp9PWoYNT4OXWEzVxLwkySIt3YDBbOTSZ29k+7ptcdJjtprZUFPN95/OT+jrHDsU515D45+91RUsfHQOgaB2Xxl0eipUBXvjdo44/1hikShCESjNXrjNrq1s3ryVg47UVIHXrXCxbtl6HJlpDCgu5eX75rKtrAYpwhAx0V4r47tPvyMUibGiNopj9mzUpkZ8i35CNu9fhj0IAenNdasLiwvxAr5IjLrGIGYR4eZLb2Pj+k3xMT//4CvufuJOvm3al5CEaDSALXMrQ0ackHSufE0+MvIyUl4/kWiMih+30bTFjUGXSShWjlkG0axHyde23pDsmVy7ph41GuGKi0dgMGj7iMUk7328DVUdGi/D1BZTJxYy99stxNoY7sKVW1k59xWWNS/Kf/hkPou/WsTdb9+PwWhg3LSRPPT+7fzffW9QW1FP6bAiLr7lI6WGNAAAIABJREFULHIKs5BSMufKOUklbP5z/3McesKhOEd3vyZ2R8gpyuSLdyo63N7Wy9dX6Ow5I1WJlJIfltSzeGUD0ahk6BAH554zEZNpx55kR7YDS5qFSEjTMjBZTD0qudXZ/HqDyQftw8jJo1mzaFVC+9nXnNfteXZk6BOKSJk7LYTYLfNqW+Cudied+5A/hN/jx+awdRoertPr0Bv06PS6pGe+Ld32KyW5e9QxP4GWc7qvy+VauoO+s9HCdD/o4b7eBg5p/ntYF/o7SXRQvtXD/XYFg4HF7RubQ4+7qvjcFouAMcCnO+rYW/QT3H78YlDXGODh15YRDGsvk1BE5f3vNmE06LBWbOS7t78kFo0xedZUDj17dvwFUzosi/XLq5PGKx3WeShuOBihtjy196l8Y/0vmuCabWaoJcmL25t8tI6w9o23EsgtwIaPPiZz+DAGHnxQl8dpv4howfQjJrP4m5X4vQHGTh3JpXeeGxezURQFxbjjQJVAOPVz2h9qFhXS6fB7A0k5r7FYjC/e+Y5jzzuCoD+Yco6RcKRHJZJMzeIvsWgMd23rddiyIJt+xD49XkRJKaneUo2uzQIuFAhx2Z1XEovGWPi59nuNnboXNz95a3yRGg6FuerUP8fJLUAkFqUOwYdPv4O6ZgN1qzYiFMHgmZOZcumpvPvye2zdXI7NZuOlx1/lm0++R5EKAgWjzkqmYSg6of1e2ebx1IdWEFZb9TIUReHB15ZQkV6IbZJWMtAyfjx1zz2P6vMhjGnMPLwUi61ZGMycHf+uKuHtF99LILcA7jo3Lz/5GqddcTafv/cVZat/YtDwjhV8pSpTxjvlptsJNBvKhNBjM44kGNmEI9vHZfeeRkaOFalK1v5UwVuPLWHw2GTjfGNTkJOPK42TWwCdTnDUYQPwecOkORK9bNFIlEh9PSfMLOCTH2rx+CLo9QrqunnE2nmcVv+wkq/e/JxDT9e8tGP2GcE9r9yQNIemhibqqupSHvvGNRv7lOAedcGBfPLCN1gDdvzBREG6g485gIys7tXf7goUnSbk1D5CpUXN94v51Xwxr/UdUVUbxO1ZxJ9+v09KA0N7GIyGDslfV6DGYoSafJhSeDl7q/hvMBq45/W/8+Rtj7F83lLMNgtHn38ss8/uvsPJYDJgz7TjbUj83XamzsLOREce2hYdAZ1ehyPLQVN94jrAke2IE/rc4lzqKuq00oMC7On2nZaisztDwB6Tg+t0Oi9HK4M6pQvkFmAS8FUvdvkSWukhC1DodDozXC5X6mLrGka1+XteH+cEt0c60JehfQGSBbJ2CvoJbj9+MVi0piZObtvi46/WsvFvf4t/XvjxfLau3cyFd10KwEkXT2LVjxVUbGldNA8fn89hp4zudH8Gkx57hhmvO9kDnFXwy1ZoNhgN5BTmUFdZF/cQmG1mMvL6/sVcs3x56valy7pFcA1GQ1JtR4DS4cU89vm9PZ4fgMNqoSFFeHa6tZXQvvffz5h14n5kNddWjsViPPu3Vwj4Qxx73hGdC86kduh1ivEzRlMwMJfKzTUJ7SoxJu4/lj/ef0m3xlu8toal62tACEYU2ii2pyhxpEru+D/NkydVSVpG4nW+dvl6alIQoQiSUCzKgoWrcFpMIAUbvljI6iWr+apsPUjBlSdcC4pAZ7YSjQZwmIvwe8pplFvIMmkESgA59okYigrwNm6gruJHMvIHMP+x1zHlZpE7fTKKXoc+MxP7zP3xfvoZh11wHLOOG4QQgkUL1hAqGo0AcjMtFORY2Vy2JeX5qKms5tATx3LoiZqgUzQSpWJjas+ix+0hPTs9aRE/OD+LkeNKWP2qdo0rwkRWxliu/fc5GJvrKLvdIb75rAI/Zq49821GTSzg0ltnkpGjhcsXF9ognEgYAAwGBb0uMXpka1k5N591H1vLygEoGpzP9U9ezYhxpZz75qMp516xsTxle1vY0mwpa6cCZOVnp/hGz5GebeeBj/7C47e8xOdzP8XdWItOp+Owkw7hL/f9qU/31RZZBVk0VDXES2+ZLCYsaRZqK+r5ekFNUv+Vq2txbXQzzJmZtK2v8cmcZ3DNW8bhd12GNVPThVBjKlkFmshUb/M57Q47Vz/w5z6Za0ZOBkaTsVVFOc3WYc7x7g5NvTtZNE/XJtLCke1Ab9THjSMWuyUh3NpgNFAwsEB7j4pfe3jyL//YnU5nNnAP8I7L5UryXKbobwFmoXlhU23/E/AXNLXki10u1xft+7hcrjqn0/kU0CKqsS/wUSe7nd7m794tfnaMKuCIPhxvKIkh2TsN/QS3H78YhCOpPXieFEJDHzzxFkf+5jgKBheRlmHm9meO4ZsPy6ir9FI4MJ39Zg9NGS7YFkIITv/jATx1yycJ7WOmDWSvfQf2/EC6iWgkirvGrYXA6RUcWQ4stt57Wi12C0VDioiGo/EyQTsDiiG1Z0Mxds8z4ch2JHlJDUZNFKS3mOAsptrtIdAmRDM7zcrwAa0CPH6Pn+vOmsOEfcdgshhZt3QD2zdVsv/RmuprR54Wo9nYI5EYi93MPa9dzz2XPMqan1woOoW9D9qLc647kRETnN1aSH00bxPvftOa+7xgBRw8Nptpw5IX71KV2B2py9R0tk9VSpb7AgRUlb3sVk0JtsGLQQiiLZZ9VeKwlpJdNIntWz7HnjYQvyex7JBQBe7KxeQNOgSTKYN61zKEWA9A7fdLGH7Z2RjsVnJGD+O6q2ZjTbfj8QRYsq6erzboEDrIyTBz+Rl7odcp5BWl1uzIL0pUOdUb9GQVZKXMofbUexBCJOVbCiE4+7wD2PzNJn76RAsBPeCkCXFyq6qS//5zKRVbNAIbbtrEgrfeZ+FbjzJ231H87p4rKRpYSPkGbwKJaTGWyDYLxlg0xi1nt5JbgPKNVdx90QM8O/8B8ksLaKxNNvoXDCxMefztj/28q8/jybufTGifvP8kxk8bt8PvdxfZBRnc8MSl3MClRMIRhCLQ6/vu+RONRAn5Q0g0JXe9QY+iKGQXZpNVoIVkK4qi1ayu8SaEereFO4Vxs68R9gf58aVPkKrkzUv+SvHeo9EbDVSudHHiP/5IU70dNaai0+vIzMvcKVE23UFLaaDdMae2u0jPSad2e2LOt8FoSNBq6Orx9kYIbM/A7lsmSHavTNCZgB0QTqdT35wjmwSn06kAA9HIcA6Q9OJwOp1jgL+jMf9s4AWn0znA5XKlmsztwBnNYx1B5wS3hXDOdblc73bpqHqO+cCTQoi9pJSpvRVdhBBiNLAfcEWfzGwH6Ce4/fjFYGhJBszfnNQe3praQ1O1pZKCwZqSrsVm3KHHNhUOPX0C9nQz/3tlCcFAhJF7l3DKlTMSBEJ2JmLRGFVbqlqtzBGo3V5LzoCcPiG5iqL0OgRuRxh48MFUL24n8icEpQce0K1x9AY9+aX5eN1eotEoBoMWLtebskYtsJtNHLrXMJat30IoGsNq0DPAbiMcDMXP8+GnHcRnb3zNvE9/TPjuEadpegkGo4Gs/Czqq1rfczq9rleq1AOGFPDwp3cQ8AUxGPU9MkI0+cK8922ysNeXK+sYP9CBxZho6OksV3j42KEUlRbiD2aSmT8WRTHgb9pO3ZZ5eJpz1csCIYZazFia7xEdAilbrzFP/UYKBx1IycBZ+BvKCXgTvaZCp8fXuImAZyv2zGEcd9o4PO4GPnnla7yNPja98A7DfncGI/cawvDJI4lFY6x78h3cXy9htBSMOGIGB589LS7EdNpvTuadF96nto3n2Wgycsq5x3Pf+XdQtmg1FoeN2Rcdx6zzjyYajiaFJIJW77I9wQXtHrrhyfP4/JWFlC3ZyoQDWsN5q7Z5W8mtZzP+Cq3OvQos+XIRfznmah764nGsada4ZxFgwRfb+fzdjfg8EfKLHVxwzTSs1hhb1id7Yys2VbNx9VYuuOVibjrluoQw5eGTRnLAiV3T87jgz+fjyHTwwYsfNKsoT+bSmy/d6TmULaG9akylsa6RcDCMoijYM+09esYF/UFqt9cm1JNtWw5ICBE3JAghKB2Sj91uwOtNFlgbULTzI3VCXn88iibk8eP6Qnu+lOwzGsVmjT/7Y9EYteW15JXk7bS64r82WGwWcotz8TZ4iakxjCYj6dnpffJOaYGUUistFI1iMBp6lKP9y8EecVxHNv9/IhB2Op0d1MVDkJi4kkqNcAyJJ6UQjcAmhYw0e3HPAd4HznE6nTe5XK4kCW+n0zkTGAtUAuft4Fh6DSnlGiHEQuB9IcSZUsrvejKOEGIq8CKwTEq5sk8n2QH6CW4/fjEYOTCTI6cP5MN5rSR3QI6VZV9/nrJ/fmlBn+x32uyRTJvdcX7ezoSvyZcyhMpT7+kTgrsrUDJzP0KNjaz87wvEgkEMdjsTL/ktOWN2bHBoKTURX/Rm2EnP6fscPSkl3tpGBqYlei7rKuooGlyEolOYeuhkrn3wCh6+8SkCviBmq4lLbjuf/Y9qrdtpS7dhtGihnkIIzDYziqLgcftY9cN6hBCMnjIUexfLkLTAYuu58E5NQ4BU0dOqBLcvkkBwHVmOTgmN0WTk9Mv+xKfvbWudmz0Xiy2PTcvfosVK7ldVLDoFbyxGNGZKadk3GO0YzelYda0lhISiQ9XFUGWYcKgRKzB6ymgKBtiYfvhkbrvoQTxVteiAQ/cuQUrJy3/6Jz+91Zr+tHneUszRIAdcdKzWENUzdfQJrAtuAyTmHAOHnrMvL978LFWuTQA0VNXz9HX/IhaNsd/Jh5AKnYn96HQKs86cyqwzp+L3+LUSXJBQMzhUn/xOd9c08Pmrczn2kpPx+KIoaoRlCyp574V1SCnxuNdSvnkDS+a9zOxTEg1COiQ5hjAmofLGDY9w/HVnc98HD/HOE2/iaWjCOW4Yp/7+zC4bsIQQnHzRSZx80Uld6t+XiIajVG2tSnjWBf1BsguzsaZZCQajvPzfFSxeVIkQgn2mFnHKGaMxtjPOSFUr/dM2XUBKSV1l633cHjqdwkXnj+Phf/+U4Mk99qihFBWmjmToS9hyMnAU5tDUTj165JH7pezva/L1E9w+hNlq3inCZqDVPa/ZVpMQ+m9Ns3ZbUb8fuxQT2vwt0Oq8dgWparStJDFBqQJN/SQlXC7Xx06n80LgaeB5p9N5msvlil88TqezEPhP8zizXC5Xx2p9fYs/oSk1fy2EWAR8iCY85UIj2h5aBaeMaOWDCtAEqiaiiXBNQTsXF++iOfcT3H78snD0jMGMH5rD9hofNouBkQMz+dB/Bs/fnhhad/TvToh7b3/J6EhYqaP23RVDjzmKIUceQdjjweRwINpZyIP+IJ4GD7FosxU9R7Oi12yrIRxqXRyEAlo5D3t63y48Y5FYynMqVUk4FI4vgI4+9zCOOONgGmoaycxNT+lRbS84s/KH9dx2zoM01WuevMxcB7e/cDUjJg7p02PoCFmODmpyAtkZVlQ1SlODh/de+JSNa7Zw1ZzfstfU1MYHKSXffl6V1GZNL8KWUYLPrUVT2HQK5ow0vttWk0Rubekl8cVdVo4dtcYJUiO3UpFUuzUDscFox2jSkZWjnfvcomyOv+Aw/u+BN7nypHGU5KWxbcUGfnrrKyJSZXvER1DGsAg97979PDPOmY0qYc75L1Duqms+YkGwJsZHTy1DnzkVYWlCBlrXJe/+6zUOPns2Vdur+Onbn4hFY4ybOo7SoaVdJhXWNCtet5dQIERBsZ3BIzPYsr4RGQvFS5sJWsO912yLMfeazwmFY5hMOuw1WrmYhuofaahtTQF745kXyMkchtcdREFSYgxiVLTxtixZx8Nn3crlz9/CNY8li0jtzojFYlRurUSmCBNurGvEYrfw6EM/smxJ63U39+MNNDWGuPSqvRP6RyKRlAZBqUoi4UjCb6iqKl9//B1byrZSWFLADddMZdGSaiIRlTGjspkwbofVOvoEiqJw0gNX88JFdxH2NesACEH+qMEp+/dWVbkfuw6NtY1Jee1+jx+T1dTn77DdAbtviHLX0Bx23NU6tO2R5MF1uVwrnU7nNWg5uI3ARR2EJ7f9zvNOp7MMeARY6XQ6X0IjkcOB84G5wJUul6uyh/PsNqSU84QQfwL+AUxu/tddCOBWKWVqj9ROQD/B7ccvDiX5aZTkt4aOHXf5KeSV5vPtW1+ixlQmz5rKIWf1ZU58zyCljIv1GEyGHoU9dRQu2t2SM7sDFJ0Oc0ayiFXQH6RmW2vETiQUIRgI4shyJJDbFjTVNfX54qCz/Kn2lna9QU9uUdeEd4L+EHee/884uQVoqGnijvMf5tkf/hZXe96ZyHSYOWhyMV8s2pbQPmtqKd6GBq445roEUnDV8X/hqf89iHN08gI7HI5RW7mVhsrlxGJhrGmFZBdNAAR6o+aVPv74Azn+pEPIGTca4/vL+eKjBXirKnCXLcdiy6Nw0P4AKArMefYMvvv4Kx689kmkVAlF6gEVs70Ie8ZATjh7GMY2pVoKB+YxaeZYhhRrucMN26sJyxiLA/UEZauBoqoxwFt3P8vgGTObya0GVY0Qi4WJ1gfQZWdhGDiT8Jp3kbpMQKGxzs+y75dx/dnXEwqEAHj50Ze59NZLOfl3J3f5nGcVZFG9VVPlvejayVRtd3P9WS/hVTUCo0OQrpiwFA2jzJMFNCvDh2L4q3zEokEaapckjVvXsJEhzgn4Nm+Lk9sWSFXy/v0vMeagyaiqytZ11QQ8IfJyJQ0r5xEJeLEXlFI07RAUfe+vu0BDExu+/pFoIMyAyaPIGdYzXQJvgzcluQXNkFdR7k0gty1YMH87p589hsys1kiWzp6xbe/xaCTKn8+5gW/blMQat89YHnnzgZ8lMmbgPqO57MMHWfPZD8TCEQbvOw5bQU7KUHmjZeemlPSj75BKtA0gHAhr2rR7GHZXgttVuFwulT7mRS6X637g/m5+Z57T6ZwE7I3m+cwAlgITXK7msKNdDCnlQ0IIL/BPNLXnrkhntvSJANdKKR/aubNMRD/B7ccegX2Pmcm+x8z8uacRR0u+VMsLTlEUsouyux0KZXPYCHgCBP2tYieKTtmjyhA01SUv4mKRWFJJj/i2aCxJVTQSjtBQ1aCFMusU0jLTsGfYuxwGptPrMNvMBH2JojIGk6FXOcqb126noSb5+GrL69nuqmTw6JIej90dnHzIUPKyLCxbX4tUJeomFwvvfJ33tlRjlyptZxgOhXnz6fe55v4rk8ZZ9O2PbFz+KlJqhLipbj2+pm2UjjyGidOGMOvYUzjsxIOpqvVz76MLcTdFSB8+ifThULr3IYTWaWJNFpuB39+2P9l5No4990iy89N585m3qKty48guZtKMQxg5LpsBpYk5kJFIlJueuDr+OWdQIZvDvgRyCxCQMV587BVmLt8OUgdCEA57CIdbldQj6xaRVjqGsHEUgZAbUBGxTG4//19xcgvNatn3Psn4gRF829cjBGQNHUfpzGPRGZKvDSm1MNm2EQEvP/483mATRpOBc644m2mHTEMRCq99uI3NNYnkTlgNRN0+UvkdJFF+/8B5LH/rOxa8Mjdpe2NVPZ4GP/de/CJrFm4mPyfCKUc2YNBrY9Wt/JGGshWMOecPKLqev/5r1m7ijYtvw1+vnU+hCA656XeMO/Xwbo/VUakW0IxJHm/HpRa93kgCwdXpdZit5oTnJWiKyW2jKl558o0EcguwbOEKnvz7f7jqtku7ewh9gowBeUw77+j4Z6lKQsEQIX/rtWhJs/SpcS8UCMXFCy1WS79QUh+jo/O5557nPfW4dj2aPb0Lm//tFpBSPi2E+AqYg5aj3DZ8u+WFJdq1vQfcJKVcsWtm2Yp+gtuPfgCxmIquD4Wj6ivrE6y3qqpSW15L4aDCeP28rkAIQc6AHHxNPiKhCDq9DpvD1q0xdndEo6kXuB2RU71Rn7AtFotRvbU6QYzFXaOpyXZHYTm7IJv6qvo4sTZZTL3OlTJ0Uv92V3rhFSE4cFIxB0wcwD8vmsOi91t1IrJ12luqoU1kZ1N9krYF9WvX8slf72ffYjNrakPUBzQC56nfwLBhYW5+4Bpq6gPc89iPrN/k1vIgFTRFJSBmMXP8lSMYNzSLksEZmCyt52bG4TOYcfiM+OdoJErV5ipUtXVSUkoOP+MgTObWMNPCEQMxFqTDVj8KAonEYM6goPQArJZsVtSEMaV58Df6E8gtQCwUoGnDMiLR1mNV1SgRbwQdWaiEkASBGKcfM5DGstZw4apl84j4PQw/5oKk86TG1IR7PxKO8N1n8wC47KbLmDGrtcKDyW6DmsQSQaLATrqaxzZXm5PXsk0ISp0lhKeNTklwC4aV8O/r3mbNQk2n4IApnji5bUHT5nXULv+BvAnTk77fVXx4/T/i5BY0Mva/OU9QMm0cmaU7Vm1ui86E0zLzMrHHBAaDQiSSeC4sVj15+daEthZBqYbqBvxeTbTLYrOQmZ9Yp3XFolUp99dR+88BoQhyB+RqyvGRGHqjvs8EiqSUuGvceN2t157BZCC3OHeni4r9mmBPtycYKAAQmlbDnofdV0W5n3j3HaSUZcBpQogC4DhgBlr4dCbaia4HyoB5wLtSym0djbWz0U9w+/GrxrzvtvHqS6twu0Pk5Fo457y9GD+hd7lXUpVJHoSW9lAglFCCoCsQQuyR+TotMBgMxFKUgDJZTQhF4G9TBkoIQVZeoipxwBNILcTV4OkWwVV0CjlFOUhVIpF9oqQ5cGQxQ8cNpGxZovr3qH2GMmDIrsnxa4ttazaz8P1kEcR0Bdxqqwl2xIShCds3fv4lNetcHHniLBpWLGVmeTmvrHCz0a0pzw4dYSQYinL/Uz9RU68ZCIQQ2usuGkYqGpkPqipDR+ewI+gNeqwOa8ICvKXUS3tkFuZRsbU6vrgyGxzY0gag6IxEAWHNQUTK2pSqF5ituRhM2rURiXjxe7dr5FYGiMkIoEPBisRCdnaQUcOSIybqy5YTamrA5Oi8TmosFkOqksycTGbMmp4QfeAstbFuYzuCq1M4+Q8zGDnKxxtPPZ+w7YJrLiC3KJesEw9k4dtfs/qrVtJtzbBz0i0X8sejn423ZThS5+oH6qs7nXNnCPsC1K1PVq6XMZWqFWXdJrj2TDs+jy/pGZBTlIPJYsIEXPi7iTz5759Qm0OZ9XqF3146CZMpeQmj6JrLAUntOZGKEKalp34upO1mz1kt2qHvQ6YD3kDCvQVaakhjTWOvVN/7EmpMJegPauXGzCb0nRgLd1dY06yoqkpjbSNqTEVv0JOZn4nR1B9m3o9fNqSUlcDjzf92S/zynhj96EcfYemSKp74d+sCsbYmwEMPLOTGW2bgHNr5orUffYeM3AyqtlYliKeYLM0iHOmaymUoEEJRFGwOW5Lns62XryvtO4JQ+s4SrdMp3P7fP3D3b//Niu/XATBh/9Fc/9glP4uKprtNqZy2EELz4kaBSfuP59RLjo9vq9tajr7YSWGxVv6m4KBZbHjhWY6PLeXB+XVIoKi0kFXr6+PkNgE6Beuy+fjHTiM9rWtCTaFAKGkBHovGqNxUiTXNijVNq7O7dcNW1vy4KuH3CnrKqd3yLXmDW8vjlEwcwdrPtgJgseXHyS2A0ehA2HU0NK4iKoOAEh9PILCZOzaSRIP+BIK7raySsmVbiEXCDBlbjN6gw2wxM2zsMAK+NsS/GVMnZFNZE2Lxqtb6tftPL+bQgwZx2CG/Y8rBY/jinS+QUjLj8BkccoKm8KzT67j8uZv59oVP2bZqA/bsDPY/+3AyCrNRhKCFKjb5dGzKGcMG8zCiQk9OpIbJ3gWY0ruWQ54KOqMBRa9DTSHKZuwBGdPpdOSX5tNU10Q0HEVn0OHIdCQQmn1nFFNcnMbypdUgYMKkAooGdG686uz+OumC43jvxQ+JtKl7LYTg1J9BQfrnQEe5oW1D839ORMIRarbVJIT5ZxVkdan2rpSyWbRu9/Da2dPt2NPtSWk1eyb29OPrxy8J/QR3F8DpdI4G0l0u1/wd9BPACcAXLpcrVU2tfvQhvvhfck1dVZV8/dWWXhFcoWhW95YFbQsURekv75ACBpOBgoEFeN1eYjFNRdme3po/a3PYOl3YdJQj2zaU9edETmEW9793Ix63DyHodomgvkThUE3BWLarG6Q3GTn7qpMYOKKEg4/bPx42Go1E8fujGgNuhqLXM+iUM2latxq7UWHElAnMmDWNH5am8ApKCTo91rKlmHJz2G9K12ofd7bQ9nv88ZqxZqOZqQdP5fvPvk/s4068t41WC+k5aTTV+TGY0loXmwY94XAjVZ55RKQWqqxgwEAGornEYU2titAbkNHEOqk6oxlzZqs3+u3HP+OpW16Pn9uS4QVcef8ZODJtXH3XH/j7dX/H2+TF7mj1EjbWhygyQt7kfLKLHYwYk0tpsSO+fb8j9mO/I1KXi9EZ9Bxw/pFJ7VOPGMW37y4H4LvoJLC2euO3h/OpDM9CNBRi94ax27vvSdIZ9Iw79XCWvPhhQnvm4AGUTN2r2+OBRnIz8zp/5pYMTKdkYN8o84zYaxgPv34/913/IFtc2ygoyefKWy5h6oF7a57DQBCk9mzpSe3p3R27c26olDKJ3IKW9mOymDr8PVRVpaGqIf5saEkx2V1+vz2f3P7yRab6sXMhhNAD06WUX++K/e0ed/5uCqfTORg4EzgayAJMaCaqcuAD4AWXy7WxC0P9CzjA6XR+DLwCzAe2okUEZqDFrx8AnIEWSJecXNW743AAZwHHo8XJDwOCwPbmfb3icrmSJTv3cASDqXM/g4GORU+6isyCTNRyNb5Qbwl/3ZNyZ/sSeoO+x8JZZquZtMw0PA2tuZQ6vY7M/N3LC5+W8fPnXeUU53Hqjefzyl2tYaxCEfz2wauZfuKBSf0j4UgCuW2B3mpD78jg9MsP4YI/X4Ber2dIaTqK0Orrtg4u0NdXI2IxRurru+zB7Wgx6HUH+M8dHzFgaC5AQSXCAAAgAElEQVSHnzsFq93EZbdcxoZVG6gur+7w+4OHZzNt+qE8e/druH0bsDtKsAwajDAYMFKCrDFSvvZjpBpBJUIENwYyEQjSsjIZeviZlH30X6SqLboDjTGEuZCFT73FoP0m4Q4bePLm15BSIokBgi1rK3jr319w7WO/oXhoMc9+/ixrFq/GqlpRFAXX6nr++8gKwiFtTL1e4ZKb908guD3Bb/96LH5PiJ++WIc6YhAtQd2B7SGC2zXP3X//bw0fvL+J666fRkGBnUg4gs8X0Eo+2SyYdhBCOfSI/dm0bANVK10YUBk8bSyH3XkFht3EqNQV7L3fRF7+9rmEtkgoQs32VnIlhCCrIKvbaSW7O6xpVjz1niRDlz3j5w/R9rg9HZbBCwVC6A16QoEQz973LEvnL8Vqs3L8BcczasKoBGHCUCBEzfYaCgYW/CrI5c8NrQjb7nmeBV0vFdSPnYp04Au6Xlu4V+gnuCngdDotwC3AVcC/gfNcLte65m0mtMTqO4BbnE7nXcAcl8vVWWFSpfnfkc3/OsIiYLbL5UpWeOkhnE7n4cDNaCT7WJfLFWr2FO8N3ApcD1zvdDr/A/zx1+Q5HjY8izWrk0M2h43ofQ6STqcjtzhXU/xVZZIwUj/6Fhm5GZht5riKstVuRelD0bA9CcdceSqDxw+nwrUNKWHIOCdD9x6Vsm+L4Ez78DqpqpTMmM5RF7aKLBXk2jjzuBE89+QipD+MMBvQ28D+vWavS5Uv2RGsaVaa6ppQVZVITGVxeSM1vhD1292Ue4Kse20xaxdt4cI5x+HxxBgydhzV5Z/Fv2/PGhb/OyffRqBxBffe81q8rTGwieI8B5b0AqSUpOUOp0CNUrH2IwBUImgCTzouuulMsoePx5KdT+OmNWxbVMbKFz5GjW5BbzHz4zOvw6QDickIEbVNvjg6ln23Nh5hYLaYmDB9ApFwBI/bx6tPfRcntwDRqMoTf/2WURPzsVgNrF20naqtbqxpJoaOKySnqGvE15pm5ob/nEPl1nrubfbkRr2xOLltQUNDkGeeXsYf/jCR8u3VrWSnpoH8whwcjtRk54eXPuXtG/8dTykwWEyMO/d40gp2nFu9O0NKSW1FbQK5klLGPYe7i3FSSkksGkMI0eM5GYyaoFR9VT3RcBRFUXBkO7oUAryz4anrePmjKArRaJRrz7yWH7/6Md6+bMEynvnsmaT+0XCUUCDU7eoF/egJRDzqZfdD/9prN4GOXfhj7LYEVwgxGNgipeyMOPY5msnt+8A0NLKZ4Ep3uVwh4FWn0/khmvz17UAecEUvdhtBK6B8k8vliuyoc1fhdDoPAu4EDnO5XPEkrxb5cafTeQxagvjFaAWkxzmdzgNcLpc31Xh7Go45bhgbXA2sXFEbb5sytYiDDxnUJ+MLIXab8KidjVg0RmNdY1zp2ZHl6FV5nZ7AbDX3L2S6AF+Tj/SCbNILtDxMRacQDoVTCp8YTIaUZVcitZWMPe/chDY1prLyzRVEFrSGBwvVjRLwIIGxR0xL6L9lwzbWr1hPRnYG46fuhV7feq/o9JqBqHp7LR+trqDG10zO0i0M+e10Nj33A+UrK7nvuv9hzCsAxpI3XEf1uk+ZfcZs9j3qZKq3+8nItlBQqHLpUQ8n7FuqUSrXfcngfU6PE3dH7ggq1n5Mi61/r2mjOO2yE5h66CSaGjykZeVjsGbyzlVPYB+Qzz5XnoujtAg1GuO7V75MILcAkhi+QHKJKIPRQDAg8DaGktwK4WCUNT+V8+p9n7NtQyMIJT6/w8+awDnXH4DSxTDSgpIsinPtbKvxEvWmfo1u3OimoqImyZNXXVmL1WpB345ANVbW8c7Njyfky0cCIV75wz/4y/dPo/sFP+/UmEo0nBy9I6UkHAxjse/6+rjtEQ6GqSmvQY1q+gImq4mcwpweGfNMFhOFgwoJBoJEw9GE++/nREfaCYqiYLKaWPC/BQnkFjpPR5Fqv+9u16GfSO7pEEIUoiknlwI2uvej78UudKbv0ieaECIbuBw4FM1VvRC4WUpZkaL7i8BEIcRnwFNSyrd30TSfBQ4GbmxPbtvC5XJ5nU7nqcA64HKn0/m+y+X6uJNxH0cLSz4UyEH7kbcD3wL/53K5kmUpewGn02kAnkfz2rpT9XG5XNLpdF4FHAvkA5OAJ9FCpfd4GI06/nTtNFYsr6a2NkBBvo1RY3L6Pa3dRCwWo2prVYIKasAXIK8kb7fJg93TEI1EWfDlj9RXN+AcPYTRE0d0+Xv1VfUJbWpMpa6iLmUonxCC7KJsGmsbtRrBQvOuOoYVJ/X9/LUVzP9wXZsWSVjJoGrM8ZiH5bLFXMwEVaIoguf/9SIP3fZonFhNmDqOh176W4K6rdFspEFnaCW3beZUOHs0TSsrUUOt29LyR3H6JUdz6vkTE/p/8OKnKc9FJNCIGoug6AwtA2v/pGTomKH84607+edfnuKW8+9FVVVKhhbx+1vOBkXHjBsvx5yhzVXR61DTUgsehcNBVFVNUn82mnQpX/NK2MsTVz2HN+JANHvPhc1MZkkGq9fW8dKjCzjrimnJX+wAZx4ykkffWUpIn9pump9vSalALqVWD1mvTyR1lWs2pxSX8tU10lRZR2bJrlcG7yt0ln+6O7wTYrEY1duqEwhbyB+itqKWvOK8pP5hr48VL72Fe9M2rLlZjDn1WNKKCuLbpZS4q914G1vt2SaLiZwBOX2iIN9TGEwGIqHk69WWnUYoHKFqW1XSNnedm4otFRS2U/AWQuxyQ2s/+rEnQggxCvgbcAT02FW/S6PFdxnBFUIciJZ/2hLHJICxwERgcvv+Usp9hRADgFOBh4QQlwPnSSnLd9YcnU7n3sBpzR9f3FF/l8tV43Q6nwWuRgtn7ozgVrpcrjloBZJ3BU4ALC6Xa3FnnVwuV9DpdL6IdgwApzudzttcLtfanT7D3QCKIhg3/pe7KNsd4HMnl/hAQlNtE7nFuT/PpPZgeJu8XHXydaz4sbVm51mXn8pVd+xYmTkcDKd8vUTDUVRVRafTNZe18GBNs2CyGFEUZYcCQADrFrd/NGtzUd1+olLw7icbMBl15FsbefCWRxBt1IqXfL+M+296mNsevoFoJIa7pon0bDuN7WtINsOYaUEIHarPjxoOoxi1ReyaVckZFhk56UhUVGJIJAIdBrMNGVURSusr0NewBaRKibOEu/8zh3/f+hzv/OdjJCog2Vy2het+83cuOH5SnNy2oCOvakchpJXbkj27SImt6nsajKOheTxDroNTL5vEuAmatz0SjvHT/M1M2ndgynHbozDbxrWn782i1VW89uwqfJ5E4jBt3wEdfjeVV9DaUY6mEFh2sxI73YWiKFjsloQ8TtD0AYyWn58kBbyBlN7IkD+UZEQJ+/x8ePlfaNy0Nd62ce7XHPnve0kv1X5zv8efQG5By1ttrG1Meb9Ho1GWL1qJp9HDiL2Gk1+YTKr7Aln5WQlEXkpJE1G2btbKafp1yfealJL/PvxfrnvgurjBpiV/encJLf81YHfNwe1H7yCEmIkW2dpdj+3Pil1CcIUQI9FOzg/AN8ANaBYAAUwQQmRJKevbf09KuR34hxDiMeABYK4QYj8p5c7KEz2mzd9dJdILmv9PIuk/MyYAaU6nM7MLebU/tvt8FPCrILj96D2i0dSiXB2196N3ePjWxxPILcALj7zKhH334oAjUyvutqAzz4wQghXfr+XuSx6helsdiiI45sJZXHrX2V1aJJptqUmAaEOUPvykjEHGNegwtCnFo6AS5fsvFvL5qwt49LqXCAWiKEIy3qlgOX4GoaLihDFDNT6EUFD9fgJr12IZORLFYEhJNC12EzEl0rpgRsVclM+gw09GrQij1ofZe2oes4+eiNF4Cjq9joycDD5+6fM4uW1BJBLh3e/KmPn7WMI5GTNlGGariWA7Qj7zmCkpz7nfk1ymRYn60EWaEAZV26Nex2FnjmHchOx4DrTBqCM7U+JtCmB3dC1kNs1q5MDJJYwuyeLZZ5ZRVtaAxWrg0EMGceSRQ6murMXj8SWeM4sppdDUgHFDGTx1DBsXrExo3+f0QzGnyN9UVcn8ZRVsqfLisBqYPr6ITMfuG9WRVZCVoMRrNBvJLsz+WT2aLWhb0qg9YtEYirF1jmve+jCB3ILm0V381AsceMe1QMdK5anaG+rcXHnmH1nxk/a7G4wGbrrveo474+huH8eOYDQbKRhYgN/jR42pVHu9NDW2pkgM3Gsok2dNY9HcVuV0nV7HGVecoYVct9TO7URxuR87B/0Ed8+DEEIH/AdosWCuBVxATQ+GGwXs0zcz2zF21d3/CPCWlPIcgGbP7IXN21ypyG1bSCkDwKVCiMeBJ4BTdtI8C9r8PQDoikJyiym+86J8ux4OwAh81+xlftXlciXXxdFQ2+7z0JS9+tGPFDAYDd1q70fvsHjespTtP323dIcE12QxoTfqk3INrQ4rNdvruOH0vxHwaotJVZW889SnWNMsXHjjqZ2OGwkFmXlMPukZXiq3+Pnhs2qiUY0YKsWt3iBPU5DP3lmM0ibCSQjB0IlH0Vi+mX9c9Rwt0U+qFCwuk+z9wgcYLjyRSLYWDaBGYpS/10rwZSRCpLoa04ABTN2vBIA1iyt45ZGF1FZ4cddXYjLkoIuAQVhQieLdsBHP1jIynKM4+ZwxjCo2xHmsGlOpr6pnzD7D+f7z9rY/qCyvY91yF6MmDo+3ZeVl8OcHL+bhG56nsVZ7JUw5dAK///tvUp6vgcOzUBSBmig5DYApWk1AKUUY9IwemxU/Ry1QFIG7ztMhwQ0Ggrz7wvts3biNwpICjjvrGGxpNvLybFx3/b5J/fMKslF0Cl6PDynBZrOQm5+VMhpAURTOffIG3rv9KdZ9tRidQceE4w5g1p/OTOobiUR54s2VLCtrFfL7fOE2rjlvEgXZP7+YUSooikJ2YTZZ+VlI5G5BbFuQKke+Be297bVlqV/1Tdtas8E6CslOdcxz/nxPnNyCRrbvuHoOo8ePZNjovl8u6A16HFmaqNq6qsSQZCEEp153AXvvP4nNKzdgsVk46qyjGDVRE8rb0xSvfznoF5naQ7EfMAhN/fhPUsoeV1xp5n59mo7ZGXY6wRVCDEMTbGqbHHEFUAbkAg+n+l4HuAbYLoQYJKXc1GeTbEXbXOBz0QSkdoSWGK9Vnfba9XD9P3vnHSZVeX/xz73T27bZzlIvvYMKCIi9i11jN5po1KhRE43GGFETY4lGzS92jS2WGHtHRFFUUBBQmsClLMu22TK70+v7++PuzuzszOwu7IJo9jzPPjB3bp3b3vMt57T92143f7OiKAepqpo+Yksn5/2qDP3IimhEU6aUZAmz1Ywt14av1ZfSNyXJErmFPfesDAdC1KpVGK1mSoaW7xU9b7uKTD2Xu4qaai/vv6vibg4yoMLBscePwGzLLKRltXWd0YvHBRtW1uCqbsVqkygeYNV6au1W8oryeOPxDxPktiPmv/BplwQ3HPCzfd23iFiUifsXMHH/AkZPyePp+zcjDSlEV5R8vERcjeiFFbOcRzCuSQMIEaepZT2TLj+Xjc/NJ6K2ppz/SreJ4+q3Eps6lpUfrmPLu+sI1nhARECEQDIiIhGOOXkkhx2roK6p547L3yMWbe8tzWFIxRF4a1XiEe34rLKT4I46UMawYYebMQPSS+lPOP9Ili1cgl7SMqoRoSfeNoCrj+po2NSEUS8xusSOM9fCAcfPYNax06jaXIvNYaFogJOlq+pY/f1mDAaJ2RMKsBslJFnClmPj3Kum8czfl9Ku72TJz6PYOgSxYRt2Zw4Bc/aS32yK1AFfgF+d8GvWrki+jl596jWeeO9RcvMz34+yLFNc4qS4xJl1ex1hzrFx2j2/yfp9PBansbaRZevqU8gtgDcQ4aX5G/nNmZN7tK0fCpIs7XXZKIvdgqyT03qmTRZTQu0ctF5dfU5mxW1rcVLp2uaw4W1O15O0ZfDp/vKTpWnTYrE4Xy9evlsIbgpE+nBElmUOO/0oyot7ds32Y09h77pn+tEnGI+mF3SsECJ9gLBzCPITU1HeD/hECJFoOmr7ke7Y2RUJIVolSfoMOAgtZd7X+K7D//+gKMpWVVWfzjq3hiPb/n2ou5UrimJEI84nAQPb/sLARmA+8IiqqukKCruGl4A/A+3hTBtwLunlyJAk6e1Y10f7sEchhCDoCxKNRNEb9Zit5sRAOR6P01TfjL+tv8pqt1BQnJ9CRGKxmKYmadD39+1kgb/VT2NtctDarnZbPLAYT7OHSDiCTqfDke9IlIdtXuvi+fu+pHZbC85SO6deth8TpidLTtd9voqHfnUnnsYWAMbMnsRlj96APf+HK4qIx+N4mjyEQ5rtkCPP0a1YySdvL+aBmx6mprKOAUPKuOr2y5h9ZM8FgTpje2Urf7llccKvedXKOlauqOO4s45l/cqkmJPeoEen03HUaYdlXM/6r7exZU0tn72zkW2bkuTxkFPGctz5Y/B7/Pg9foaPH0hOvp3WToPerkojAVzbtxCPpWaEB42088s7Z/PUG7WJaVF3K57l2iNWL6WWqQab3MhmPcoZh7L6jhcxxJMkPo5EgR4OnDWKHf9ZxboaD0RrkGLViTflsHIjp583AUmS+ODFNR3IrQZJ1mF0OAk27QBAlnRIO7R3dSSaWbX1izcXYpW1Y48JM0h2QKbihDl80yJBixtJhm+2t7CPOQd1+WriQjB11kAOO3kgL7+3kfmfVSJJcN5RAzERJdJWmRwOhtnvwHKUscexfmUtBqOOqQcMIhY4jKr1W3EOLkMIwdpvGygsNKfYNAkhyC3ITH6fe/D5FHILsHXjNh6983GuveO3GZfpazTWNhL0BalvSS/DBqh2+TJO70fXkGWZ4oHFNOxoIBrR7jeT1YSzLJXkibig4uADqPliKUFX8lktG42MO/vUxGej2UjhgEKa65o12yFZIteZm9EqKFup786UAG/e7Ob559dQU+ujoMDCqaeMYtKk7vt483McuJpbUqZJQK5j76wC+F+F5oO7d2Zw+31we4Uc4KM+ILcAfnqWOOwT7AmCWwFU9eH6qkjNBvcl3mxbfwVaee9TiqL8ErgbeFdV1ZRRnKIok9EUiF8C0k3YUjEWrf/4WeB0VVV9beuYgdZffAvwe0VRrlZV9dHeHoiqqtWKolyGpt7cPppcnmX2jiPjAPDf3m5/T0PEBa5qF6EOPXAWmwVnufbyd9U0EPAl709vq49YLE5JW+bG0+zB7UqKTdvz7OQV5fU6kyiEYPEbK/nqg7VIEsw4egIz507s1Tr7EiIuCPqDxGIxjCZjlyQuGonSWJeakYlFYwkF3lxneoaoequb2y95i1BAu3VamgL87cr3+MPDxzFqShnuuib+ceGfCbQmLVbWLV7FU797gMufuLGPjnLnIOICV5VLE2Rqg9/jp7iiGJMlc//g8sUrueH8WxKqwFVbqrnunD/x0Fv3MmnG+F3aj1deXpcgt+2o3uFh1gFjuPKWS6ipqefwUw/FYrMQi8Yo6aRgK4TgyZvf5YNnvk5Mk3R69I58JFlm4StrcZYYmTpHCzbkF+Vw5V3n85eLH0yxjZl64IQu9zMSDGScPkaxk1+tUlnlIR4KE66th7bsU1ykHpelUCvF1dtNGJxWcLX3vkqUWIIUjtGyRGdeezjL3v+CQNOOlHtz0/LlzP/X2xx54Vxa3Zn3R9alvu6kkHaMo4bkpc27efUmFr22EICYMBJFy4jlTRpJzsSxRELJ38e7spE31ia7WdYur0Xd7GZZk0bkhpRaGVpmTfMSbm1sZfDIAQwZpT2jhBDUVbbiHKy93iRJYvT4QurqApSUaNn5eFzgLCtg7Vc7+O6LbRiMOmYcPYohYzSisGmtSiZsWpd5el8jHotratuA3Zx5eJGTpVe7H93DYDRQOqRUy+JKpGRuQbuGAt4ABpuNfW+4hi1vvY+/pg5jXg5Djj6C4jGp2VaLzYJlmIV4PI4kSVnfd8ecehQvPPaflGk2h40Dj+y6JaId1dUe7rhzCeGwJkbo80W47/6vue7a6YwZ07V/8tCKUkKRCK1e7R0hSRLDB5Vjs/RbwvWjH3sA1cCIbufqAdraTX9SBDcMpI8gdh05aCSsz6GqakRRlEuA10n+NrPb/uoURXkOeEpV1dWKokwEXkEjkFe1ect2hdOAo1RV/aDTNpcoinII8CWaMNQjiqLYVFX9ex8cz9OKoswHZgKVqqp+3XkeRVFK0GS/23GTqqq1nefb29Ha1JpCbkEr1/O6vZht5hRy2/H7SDhKNBxJIbcAXrcXvUGPo5dZxJfu/ZD/3Lsg8XnxG6s4e+tRnHLFIYlpkXCEFleLlv3U68hx5uwRP9dYLIarypVSWmx1WNMyAu3IpsAbCUWIx+IZVVcXvLwmQW7bEY8L3n/+O0ZNKWPd4lUp5LYdKz5YQiwa+0Ey6T6PL4XcAiDA7XJTMiiz4varT76V5iUaj8V5/em3d5nguurTf5f26ceffRQuV1K6QKfXsX17LUOGDMDQllVZ+v66FHILIGJRYn4PersWjNi8poGxUwpw1zWRU5jHsHEDGTiijMoNmsbeqCnDuOLO87vcT73RSCSUfn/pjUbOvvRA5p31EOFoE+F4EyDQ62wE4smMjGw0oBx7eIIAyhGZOHFAosLu5+BjRjLm5KOpr3Zxz6/n0epdi5swuriOfMmMZdAAHPtMZlGVD8faagaNLGDNV+kagbFw6mtD57AwY2IpRx4wjOb6JgKe5Pf1O5KFNHHa7kVJoviQGSn3QDwUI7A2XRF5yeeV6Mdo95Hd0mb3I0mEYzHckRDReByDLOMMhrG0BU2i4WiaPYpOJ1FSYqFoQBGSTsJgMPDaw0t59dmVOArMzD19NF53M1vWBCkckE9BUWa164KigozT+xod74EJgx0s3dBMiz/1/j929pA9si/tiMfitDS1EAlGkPUyjnzHj9q+TJKktOdiLBrD2+Il6Asmnl1Gh4NRZyXlSpxlzqzP0+5aKq6++Qr8Xj9vvPA2ACXlxdzxyG2UlPfMgWDhx5UJctsOIWD+/K3dEly9Tsc4ZTC+QJBYLI7VYsKwl3j29iMVP+bWon5kxXzghh96J3YFe+IpsR64VpIknRAis9t8D9Gm5jULzd91t0BV1Xfa/G0fBjrWz5QAvwV+qyjKSkABfqaq6ns9XPWHnclth20GFUW5nqTN0F2KonzSncVPT6Cqag0aEc+G+4F2NaD7VVW9Z2fWv3r1ahRF2dXdQ1X7JrMQCmZXhOzK4iEej6fZQrQj4A30iuA213t4+e8fpU1/4e75HH72dHIKbEQjUeq31yf6qqKRKK4ql5YttO7eQZi73p0yoBZC4Pf4+fK9bzn2goMyeqJmQ7bvPO7MVS1LPlxG68VLmDlrbxMfJ1H+1930hpoGHrjhftavWE9LsweZGHFSB5A+T2aS2hMUFlnZUeVJm15UbMXtTidV8Xgcj8dHQYFGXr9fllnLIR5NnvPG7TXcfeLjxNtKFGeddSS3PncNW9ZV4cizM2qfYWyrdfF9TQ16nY7yogJKnBqJ8rsaqF66jKDXQ9xuwFKSHKgaTGZyCkuZenAFh503hlceeyHxXSzqY+iwClr1ORgLcqmYPR1bqfaoNQV83PfyNax8+3PMhBi9/0gGHzCdQIuXh465lJJojJL8POJC8HVLK40mI8MuPh9JlokCr3++iQmjnAwa5aTy+w6l9FKEUGtS9FGSJX5x0/EcfeIYJEkirzAfq8NKLKIFVYaNTT7TRFshtCHPgd6WKmAjgplfaSKUnO5ya4QjFItSE/Al+HEoHmPVxi1MGaNgMhjSAiQdIetljCYjG9fW8/ZqFzlHjOSi4wZTlJd8Rrjr3cw94zjeeek9/N7kdWcwGjj312dnXXdfQtbJGIwGIuEIFqOO8w8ZyIJVLurcIfJzrRw5czATR3RNaPoS8Xic+u31KWX2AU9gjzxf9xSikSh1lXUZ/YzbkVec1yvxJaPJyC0P3MS1f7kan8dHYUlhWva4K3i9mcvVvb7M0ztDkiTs1p6phv9U0JtxlcPhQL/HgwD9IlM/RQghaiRJmi9J0lVCiPt6sy5JkozAGUKI3cbhOmJP3AGfovV//hW4rpfruhUtG7yotzvVFVRVfU1RlIXAc0AmHfx2hYxXFEV5HJinqmpXStAhut/nD9HUjAvRzssfgVN2asd3Eoqi/IKk7+/dqqr29vz8YMgWgZZlbcAlSVLaAFKSJQzGnt0CkVAEv8ePEAKz1ZxV6Kcj6iubMg5a47E4rqpmcgps+Fp8GQcmrU2tFFl3r4dsZzuIdpK6Y1Mdbz32McdffEjK9yarCZ1Bl+Z5a82xZlXkHDK6kCXz04MYAX8DC19ZRvXmKkw2M6FOGfZJh037wfqge9Jv5mv1ccXcK9ixOdl9oQeikEJyJ0wb1+Ptav6zLQT9QSRJ4pSTh7F+XQOhDiSqrNzOwYcMpromc5FFPJ68liy2zAP49vMsSVD91afIUW39Ii5Y/Nz7RAoLGDt3DgMHFrBmy3Z8geS5+X7bDmJxgbG+js9u/jMRn0akBBIRZV9GzZ3FoJHlOCsGs+i9xXz63qcseGVB26+SvEerN1dxxyt/5/OqEA3hGAhBsVnikrMPxWoyMHTCoJR9fv26e3FEY8ksryQxLTeHDxoaiUUi6E3JY/1uWyMX3jaH6m9cNNR4KKnIYfy0Ml669z02r64ip8DOiZcczMTZI6mpbOHRWxehrnFhshg49OTRnHbJvjgLchmlDKZ6SzWeWIQQJoin36eyVZ+xwUsKRNlnbBHL17qobQrx+bdNjBhpTiuACEejVNc3MnRAKQajAZ1eRyyaen/p9DoMBi0G+fy7G9DlWxk50J5CbtuRm5vDE+8+wgPz/knl5u2UVZRy2R8vYWybwuzuhiRJOMuduHa4iEVi5Fj0nKu36rEAACAASURBVDKznIISzY90T9/TvlZfxh5yd6ObEutPw//c7XJ3SW5Box6RcISAJ5B4h+0Kwbc77NgdO+93PGRILkuWpFdVDBnccyHCfuz92NuE2frRZ7gWeEeSJLsQ4s+9WI8D+Be7MUnZEbud4Aoh/JIk/RO4XpKkKWj9pguEEF0rl7RBkiQ9cCjwGzRBp/uEELtVpUJRlDFoGdxctPLkEjSBpmPQenPbYQGuAE5RFOVYVVWzyWdfB2zP8h0AqqrGFUX5Gji6bdJxiqJYVFXdLeXYiqKcj2a5FAAu7YGYVkaMHz+e5557rk/3bVdgz7VnzMTacm3IskxhmRNXTUNyICpBUanmb2ixW/C1pl9SFrsWMQ74AjRUJ5f1NHvIdeaS48ysVNmOwgGZK/O1QaD2XefBbDtisV4VO6Tg41eX8Maj8/G4/YzeZxgXzTuDvKKcrKQ0FAiz8OWlaQRXlmWKBhTRVNuUKIOz5ljJL85cFglwxM/Gs+rzStYtTwqUh0PNtDavAmD9ivX87s5reO+eF/G5tWzlqBnjufDe7Cqtuxs2hw2f20c41CG7IEFeUfJ8fvLmJynkth26DlncWUdM58xLexajEkLQsKMhJeggEeGmP07jgw+rcDcHKXSamDXdSeOOOkyyTIBYGmGydihtP+Ckibz1+BeE/KmPWtlsJSffTEWRm83Vbjpj1XtfUjNoEJ+tqWR8uZUcS+prYuPmHbQ+dD8GawyjzUzIEyEaiKHb+DX/uNzFlQ9fxNuv/JuH/9pBSkACgwBDB5LrcTXyu3OPJBqLI0mg66JMsnH1Jm01HSoFJEmi1GQiFgqlEFyAlkCYQ04anTLtsru0WN7i+V9yz7x7cNU2EAlYyM+dismYS9Af4Z3nvqNmxTdsnP8eIi4oMJgoMEk0G2RcLV7822uxDky6yUkGmbx9CnEvS3VaO+mCSRx/zkTmL65k9YZGalrjVGQRswq2ETBJligsL8S1w5UgLLJOprC8EEmWiEbjbG/Sgg02U2aiGI/FGT52OP94uVeB9l7BYDRQOriUcCCMEELr3a9tTDw/rQ4rBaWZbYj6Gp2DcZmmhwIh/K1+4iKO2WLWAnY/olLL7kTgAOIiTu222sQ5aG1qJa8or9ctOD3FYYcO4bvvXKxZk7xPBg7M4aSTRnax1I8P8Vgcb4tXE7o06LHn2XdZUb831W3nnHMO69ev3+Xldx17awa3H72BECIkSdLRwJ8lSVqJxuPeEUI0drNoZ+xRAYY9VcPwZ7RM6CFtfxFJktahWdnUAh60Xl2BJojkQPOkHYomztT+o2wEbt6dO9rWD/sGmlfTTFVV25vFXlUUxYmW8TwfmNZhsXLgfUVRxqmqmnbCVVVd1cPNb+7wfyMwFfh8Jw+hWyiK8nu0jLoKnLoT+7fXwmwz4yxz4na5iUVj6A168orz0Bv1PH3fM8x/5UOikSjTDtyP868+n9yCnIRPq8VuIa8oL01kyp5nRwhBU21TWoampbEFi8PSpdersyyXEy89kNcfSk3en3LFweQValFwg2n3esguem0p3y5ey+BR5axavJ6P/vMFG1dt5YEPbsaea0/rPQ54QyxfuA5HnqZQKYRg2YsfsumzlcgGPZNPPJBRB+/TrShJ8jh0XPd/x/L+88t47NZniUV9+L1b6NitUDS0jHuWP8WODZWYLGbKRw78QQeYkixRNLAoq4qyEILmhuaMy8o6A4ef/WuOOKqMWUdM6/HgJhQIpWXUAYiGuPCiyXiaPbQ0dFASjQvMkp5AB7EmpzMPa4cyvrKhTm569jwevv5Nqja6yHFaOfnXczjg5EnYc808ccW9KQ+cdnhr6nC/8R4D9t+P9XIx04amBnKELPhsUwnHzhHIsvZ7tFb68TeEsMt+/v7rZ9nY8GnaeiPE0ZO0Xxk4XMvS6jP0bneG0Wwk6k0v99ZZLRjt6RmlfHvm7NQXC5Zy9ZnXp1RWtLbWMXTQXAwGG1LUz/fvL0BKabQVDHOaueGZ37J1q4vVQQPV7gD1S74g6trB2OFlHHzBHFw1JoQQTJk1kGkHDQbgqDmDOWqO9v/1W6uob0oPKFg79IMazUbKhpYl+yjNxuQ1JGlZdyGgpkm7VjoLVxlMhh7dO5FwhOa6ZsLBtus734E9z95n950sy5htZkKBEO5OQRS/x4/eoN8pG7FdRXfVGH6vn8bq5Cvb3+onFAxRULJnepb7AjqdjiiZ2ypAe5d5mjxp7zC3y43FZkHfwyqm3kCvl7nm6v34+usaamt9OJ0Wpk0rx5QlULO7kKiS8QVB0oKZjgJHn1z38Vicuu11KR7jvlYfJQNLMupT/PSw91lrJbG37tePA5IkdRTRDaNlYUUbj6tCqz7tSdJydPez9B32CMEVQgTa2P8CtAM0AhPb/rpD+5W5BThaCJFu3NZHUBSlDK1f1Q78sgO5BaCNvD4IPKgoymHAA2g+s6BleX8D/KkXu9C54a5Pa6gURdGj7f9FwKvABaqqpjfz/UhhdVixOlLVSu+5/u/859Gk+uPWDVupq67jzmdSXaoc+Q6sOdY0m6BYNJa1/CsSinRLRM+98RjKhhby1QdrkCSJ6ceM55DT901835557khudHpdSrZwV+Fr8TFkdCnDxpUDcMJFh/LwjS/w7RcbWPzOMg49bSbbN9ai04HVYaZmawPP/vUdmmpbmH281hv75p8e5avn3k+s89s3P+OEv1zCtLOOzLjNTJBlGD+jBCFtxdvqThlM6I0Gho1VMFnNDJu890TzZVlOG4CHo1E2bNtBY4uXitmTOPm683n7Hy8S7nDujPYiKnfA5u1mDtiJyH22TL4QAhEXeN3pjz0JcObmoDcbMZuNmDMI54zcZyB3vfsr/K1+kMBsNSeI+uQjp7PklY+T22pbZ0NjA83zd1C56Ev2+83FxAaNRddhgNa03UNlrY2PP9AxwN6Mc6AR5yALodYIkbiMzxdEh5Eonfqv28iZBBz/8xMYM7XnZbNjjz+YZU++ljItKgRHXHsRy7xB/Os2EA+FMQ+qYMKMcQwvz1xV8PQDz6e1DcRiIdytGylyTkaOtKSS2zY0VzcwZEQZk2aP49holKtP+x07FmkCXnXfrWbRmx9x9/N3sf/h+2c9hiHlxTS3eolEkwNgq9nEgE5enrIsp4nMCSH46MVv0S3bjtcXZnOJgy8G2pg5wZmyXE+IWSwWS/T9R8IRopFo4vrr64xeNn0Dv9e/RwiuLUfz6O4oGidJEnlFeVqgqi49UOVr8WHPtXdrC7a3IMeZg6vKlTJNkiSMZiORcARvizerR0o4HN5tBFcIQTgYJhaJoTfqMZqNzJjR2ZFwz0EIQWNNY0LlG7RAdSwW67IKqadobWpNIbegCce1Z8v70Y8fMX5O6lNEavsb2/bXU+xRx6Y91oUuhKiWJGka8HfgArRahu4OtH0k/CJwuRCiqz7XvsBlaD2+VaqqftnVjKqqLmiz+HkfaB/VHE4GgqsoigM4GPCrqrqg8/cd0JlJ9ZmUbts+vIyWQb+mL1Sa91a0E6hWdysvP/Zy2veL3vkUdZ3K8E4G9TqdDp0lNaLcVQauJ/1kkiRx+NnTOfzs6Zm/lyWKKoq0sqZwFJ1ehy3XtlMCHpkQi8Zoqm9KiRwbjHouvOkUfnfC3TTXtyBJEmOnjeDFe9/lpXvfI9pWtjf14LGce8Px1G2oTCG37Xj3z/9i6qmHoO9Blrm2qo5rz7uRdSu/B0AnSZiEQCdJyDqZ397zOwrL9pzozK5CCMHqTZW0tvWcIklMPnwGJpuFF25+GADZYKFw9KEAfPrxNs69cBKyLnvkOBQIJZSzsw0ydTodkixlDbIYjQZy8rKTklAghGuHCxHXHrUttJBXnIcjz8G+c2dz/O/O4q17XtCCQkBTLEhzXCPssVCI9f95neMPT/YRh/0RPnlEK/hwe03khKJ4GqNEgoKozkSDTyPZnW2A2nHISYcy49DpHHXm0Rm/z4ZZV5xJqNXL5sUrkGSZoMfHYTf9CueIwcw/8Vo8riRROajwF8hHZ7Y2anZlzrzHotqgV0iZr2lJljG3ifQsWbCE5YtS1anjsTj3//GBLgmu2Whk6miFalcjwXAkQW71bfd6OBhmzdcbiIQjjJoynNyC5Hl98d7FvPVk0uUt3hzg7UdD1J8xgblzBlKQb8HqsPbIlzTgCRDwBXns7sf55L1FiLhg2Kih/Pb2q9nv4P26Xf7HhPbnq6fZQyQUSVRjGEwG4rF49uBlOLLbCG5Lo49n/vwem1ZVYcu1cNyFM5k5t2srrq5gtpopqiiitamVWDSGwWTAaDKmVnxkQXfvmWBTE9VLlhINBnCOHYtzdM8SMCIuaKhpSCGTfWW9t6uIhCIp+9MOr9tLrjO311nWzgroiek9KCH/KUACJGnvzFT352/7BJl+xr36p92jMmtt2deLJEn6O3A5cCJaKXIm1KP50j4khOi1mnAPcVDbv9/1ZGZVVVsVRbkSaB/tpI3UFUUZDnwEDGr7/A9VVa/MssrOzuUNGefaSSiKUgS8BxQBc1RVXdLFvCcA61VV/b4vtv1Dwt3YklWZtLGuieE9iDtJsoSjwKGVeHWAyWLqswGQJEk4uiApu4JIOJIxfGTLsVJYls/QMRWJaWdccwwHnLAPld/XkF+cy8ipg5FlmS3bMgsZRQIhvC43eQO6FsESQvD7n9+UILcAMSEw5udw4ZVnMe3Q6QwfPzxtuVg0RjweR2/Q7zW9cN5AMEluO2DMzEmUT5xDwC+wl4xGb9bOYywaJxaPI2cYQAohaK5vxteS7Ps2WUzY8+ypmVoJ8kvzicfjWa/jrq7B9oxFO7ltR1NNE9efdT3KOIVLbr6EOWcfyTN3PcUrT71OtFOMzV/n4tvXNiOMEAlEWf/pdvwRE/rSEgLCQsDvwRJpoXpDgO3GMgQSh5w+Db++nFf+9WrKus678lyuuPmyrPvra/Xz/D1v8u1X3+HIs3HB9WcyYtJQ7ViQmHjBKYw+ay4AOoOOovIi/nTib1PILcC/b3uCyQfty9AJiuYtu6OeaCRK2aBSRk4Yzubvt6Zt22TSMp/5gwdRWFzLjjWp/W+zzz4CU1tWtSpD7zXAjs07sh6bEAJvaxidTmLogPRXXpVaww1n3M6Ozdo9Z8uxcvOT17DvwZPwtgR5+6lv0paJVbVw4gFDGagks7ixaIxn7/kvH/7nU6KRGPsdMolLbz0fW05SQTcei/P43x7n43c+SUzb/P0W5v36Vv6z9EVsjs6voV2HxW7B05yuBG61Z1f0jQRCbP18BcFWL6XjR1A0cvAubz8SjuB1e4lFNZ9ve36yJ1KSJSRZSrs/oGfBy11B0B/m5tMfp2pjfWLavcsrCYeiHHTqlF1er9lqTsn6127t3umvu3eYe8sWPr95HmFP8vyNPeccRp1ycrfrbm1qTSOTXrcXo9mILafvrq+dQVe6FpFQBIFAp9OCjbvy3sl2zfQ2WP1jwt5botyPPsDrQG/bGScDx/fBvvQIP4iZmBBiLVq29DJJkoYBI4F8tGhAE7BJCLHpB9i19pLgnckULwd8aOQ0vcEK7qKN3LbhfCAbwS3v9LlHRLsrKIqSg+ZjFQAmq6qaOYWRxEXAX3q73b0BJQOKNcEgT6qAlCzLDBk5pMfryXXmIssy/takinJuUe5OvQSjkShBfxCEpkbcVz222dAeje5Yrt3+/30PmcA+h6RmDAYoJQxQUivi8yuKyQS9yYC9sPuSq9qqOtZ8sy5turu5lbHTJ6SR23g8TnNdM/42ax1ZJ+Msc+4RT+DuEOtCpbRk7EzcrlS7i+EjCzAYMg9s/B6/pp4diSLpdUiSRCgQwmAyUFheqKkoyxJWhxWjyZhRAK0dJkt2JdR4PJ6x9FnWyVgsZl5/4jWqNm3nb6/cw4hpY4k+9WravCXlRcw+bBx3XfQfhABDRTl6h3Y+gtjYaC9GcX2MLdxIQORx4iUzOPv6Y9DpZQYNH8hn7y9GkiQOO+EQTjr/xKz7GvAGueywP7Jx0zJEWz/hovnvc8ujt3LQ8QewYWUlsiSw5WgD8lgkhmuHi22rM3URw8Zv1pFTks/1P5/HqiXaY3TQ8IFcf8/VfPvVaqorkwRg6sypnH7BedhzLEyaWUEsdCwv/uFh1n+2Cp1Rz4xTD+b4685JzF82uPNjun16Wcbprlov/7z1Mzav13o9J00v5+LrZ+HI1c6dEIJbf3FvgtyCRvZvufBenlv2D7zuaEYSBtDa4IfhGsGNhiNcddT1rFm1LfH9O89+RNXmGu59fV6C2Ml6mU/eS++RdtU28PWnyzjo2AMzbmtXYLKYyC/Jp7m+OSkylWPNKtDnqWvk5V/cTNOWtmCBJDHnmnOZduFJxKIxrQw0EkWv1+MocHSZsQ6HwtRX1ieCQwFvgIBPswiSZE0/INeZm6ZDYLaau7yveoMl765JIbft+O/9C3tFcDsjnkHxGzRS314C3102dfkDD6SQW4C1zz1H6dQp5A4d2uX2g/7M9nAhf+gHI7hZ37kS1Fclz4nFbsFZ5txpkuvIdyScFhKrlrQA+f8G+m2CfsIQwK+EEK5u5+wCkiSV8FMnuB0hhNgMGbVOfgi0Nwz1ODWnqqpQFKUVjeB+m2GWWZ0+Zw/zpzZgr2jzsO0tnkAru56jqmp6KD0dU9g5gr/XwmQ28Yf7ruemi29OKUW78tbLKRmQmbxlgiRJ5BTkkFPQtWpyNoT8IVzVyTJRJHCWOnvlS9gdDEYDZqs5ZaAhSRIet59f33luj17eJaMHM/W0Q/jm5YUp04/8/bnos4hjdUS2QVZnCCFoqq6kqboKEY8h600YrEWAgYYdDZQOKe1R6eXuhM1iRifLxDodk1Gv55TTxvHUIyuJxbTzW1Ri4+Ir9s20GgC2fr6CL+59Bm+tC1OOnXFnHsuwI2YRCoTIL85PqHe3oyt/1K4gd1Eu5m3VMsXLFi1j/TfrOPj4g3nh/15gy9rNGCWZOIKwiPPL63/JlIOG8/vHf8ZzDyzB5Usl7ULSUZ07iXGBL/m/z25F1+E8nXXJGZx1yRk92te3/7WQjZuWJ8gtaGXOt/36Vl57+GxaGrUAwoQZZZx66WSMJs1OR5kyinVL0uOA1hwbN/7i1gS5BajctJ3bLr+Tx99/kAWvL6ShrpFho4dy9GmHp2ZZbEZ++XB2x7RZR85knzn7sPzTZMkwssSo/cbyt5vuY9T4kRx72lHIskw0EuNv1y+kpjIpdbBqaTUP/Xkx192tlbO7G1rZ9N3WtO34Wv2sW76RybMnYjTrCQdTy74lCUqHJANND111H2tWbaXzYG7V52tZv3wTY/fTetz1Bn3W0txgIDMx2RUIIbSyYFnGWeIEHRiNxi7v5fnzHkqSW20lfHrPM1TsOw7s9pSAjd/rp2RQSdb1tbjSK3gCviDffLECnUHHiLHDceQ70Ol0eFu9iLgWvMwpyNltlSNuV+ZXsNvVt9IiRpORQDS9/9lZ6kx7vmRCLBKhdeu2jN81q5u7JbjZfr8fsiJHb9CniUkCaZVOAW+AlsYW8noQxO0Ig8lA8aBiWhpaEirKuYW5uz2YvTdhby1R7kevIQF9Ye0RZQ9GG35wgruXYQWa8FXXT+8OUBTFjFb6C5pwU2d0ZDFb0DK4mdZTAHQ0zfy/LrZ5L3AhsA04V1XVTMQaRVGOBE4FrugJuVUUZT+0LHJ3Wd4fDQ476TAGDK1g4ZsLiUVjzDxsf/adk5189DWE0HqRUjIwAppqmzRf2d1UvtTuR+l2uQl6NcVIq8NKxfCKHg8yJEnipL9eRtmYIWz8bBW6NhXl8Udn7zPsiLKBpQwfO4xNa1PjV0WlhYyaMCLxuam6ksaqrYnP8WiQkKcac04FyDqCviD2vJ33XuwN4rG4pqAsyxhMBgx6HWOGVrB283bibYNmnU5m7LCB5E2yMWpMIZs3NmMy6xg7vhizJfOjtWHDNhbceD/xiEZWQq1evnnkJfQWMyOOmJlxmWzZJJPV1OW5lGQpvewZ2LJ+C9+vSpaNNze4MVvNXPjrc3jydw8g2shP+ejBzGzrKZ18oMIG1cMbz69oO3ZzYtthvZ3D/nRpCrndWWz4dhMigwhjOBykrroGs0nLUn63pAaTRc8pv5oEwIy5s9MIbvGgUoZOHsk3n6dXU9Vsr2PbxkrOuvT0LvcnEgpSp64l4GlB1unJLx9EftkgJElCr9fztxfv5rn7/83XC7+hqS5AfV0j81/+jDBekOCT9z7l7idvZ/P3jSnkth2rl9fgbvST57Siz5LpB21QbrYa+PkfD+axmz6kI187/TczcZZq2aHWBjeL//sxqa+bJFqakvtgtpoZN3Usa75ZC4Cs0zHrxIMZMlahdMwwPP4ADmv3JKgrtJfHdxaZsjqsFJQUZLUoq1q2JuP01sZWbObUfYrH4rQ2tlJQmllYKxJJvZ4aXU3cdu2dbN6wBYDc/BzufvJ29jtgH6w5uy/Y2BGDRmXWjRyYZfquIq84j3BVOMUOyZZr65F/O4Cs16Mzm4kF0wMexh744NpybRlV4ffU75wNjnyt/zro07zGo5FoomKoI4LeYIaGs+5hNBkp6qZ1px/9+BHiAtJFcHcFnrZ17RH0E9xUPIVGQKcqijJQVdUuvWvbcCLa77gceDfD92vRLIWWAIeqqpr+NNVwOkkTsU+BjL60iqIcA1zd9nEimpftjCzrvLjt3y7Ps6Io7arWj7dN+skQXIAxk0czZnLfq5P7Wn289I8X2LZ+C87SQk6+5DQqlIqUeaKRaMZsSXt2Q2fdff05CVXVXoydZJ2OmRfMZeYFc3dp+3c/8xeuPvN6tm7UsgHFZUXc8++/YrElB6vuugxFDSJGLOJHb3LscgZzVxHwBrTe1bbtGs1GCssLKczLYb9xI3B7vIBEQY4dU1t0vqTUTklp9wO/NW8sTJDbjtg8fzGTTzs8bboQAgTkFuamiMbojfoeKebmFeUhyRK+Fh8et4fVX63mX3c/mciEybLM0DFDqd64naeu+0eC3AJUr9/G0zc8yKX/vJa6mnpeePwetmzcAIDNPoDBQ4/BYLRTPtTJ6GMO6HZfOiMWi7NhhYq31Y89L3vZYmcSv+qLak6+eCI6vY4jfn4c3iYPHzz9FgGPn2HT92HC3BNZ+HEdNucgfI2VaevLlr1M7Fc0SuV3XxEJauQsFglTv3k9CEHBgCGAVh0ycdo+vHTfR0TDUWRM2DChx4SfRha+8wkfvL6AwUOyGwVEItp+OPLsTD98Cks/TJWaKB1UxPjp2nProJPGUVKRy5IPNhKPx5kyZyhTDxqWmNfT7EFGIBMn3qlMUJYlho5N7WO99dF5XHHKVdRU1vDzeZcydn8tYNAaCrHy+81MGD6YvB4QmWxobWzNqKDs9/iRdXJW1Vqj1UIkQ3mrwZaZcEcz3Evt0Ov1KQTvnnkPJMgtQEtzK7/9+fW8vvQ/FBT2XkW3J5hy8EjmnDSZT19bCWj3t8mu4+w/HNan29Eb9JQOKsXv9ROPxTGYtIqenQluDp97HN+//N+U6Y6KCoonT+52eVuOjXhMs+QRQiTO+e4q/d4ZdOxXTsvmtqOHOaZYLEbAEyAW03q8zbae/8Y/RfT34P40IYTIyEd2YT1hsnCb3YEfjOBKkpQLzEGTmC4CYkKI33f4/q9ofbnz0QyFM5hE9i1UVf1EUZTH0PpQ71cU5VRVVbOOhtr6W/8KtAA/U1U100j8ETSCW5WN3CqKYgKuafvoAs5SVTVbOcD4Tp8zyi8qimIA2t+af1cU5R6yq1bLJB/pXlVV/zdk/3qBgNfPVcdezpYO2ckFL8/ngfcfZMjoZAFAVyrMu2oA/2PCwGEVvLj4KTas3kQ8FmP4uOGYOw1y4lkschDarZepBzccDCf6ncw2cwph7g2ikWgKuW3fVlNdE0UDirCYjFhMu+6RmWnwDiCisbTetEgoQkN1Q2IQrzfosefZMRgNmCymrFmwjpAkibzCPPIK8/jywy956JYHU1Q9L5l3KeWDy5n/+JspZKAdKz/8ilgsxlXn/C5BbgF83h1sVd9i9PizOOfKbPG17Ghp8nDjmXexbtlGQFP4thgKCERSuyMM+lyMhtRSQREXSLJM4YBCDAYDP/v9efzs9+fx/bpG7r17Ce/P10SgBk87hfoNX9CgLk0sm+fMZdw+6cGuhpomHvrTs2xctQWbw8SBRw1j8v5DUuZp2rE1QXAB7r/2iRRbEIHAhJ0wXqKE2LRWZc4RB2G1G/B7Ux+pJRUOnEXJbNYND13B7Zf8g68WaCR3yOiB3PzkNZityXtlzH4VjNkvNYDWjqKBJdjybMiNLXjb7hsDFgySmQtvOIPSgalZpYHDBvL8Z8+y7KtvoVN1hBCCTdtr2HfsCHYV2XowQVNxzkZwJ55+BF8++FLKNEt+DjmlToLB9NdSV+XOuYW51G/Xeiv9vgCrV6xNm8fT4mXl0lUccuxBWdfTl5Akicv/fgqTDxrB8kXfseDDt9lWU8PPj17EAUfO5JaHbuxSFX1nIOtk7Lm7HqQYc8YZyAYDWz+YTzQUwjlmDJMv+RV6U89Iaru3cjweR5blvZL4ZRVB60H7UDQSpX57fUrZvC3XRn5x/l55rLsfEvT34PZjL8IeJ7iSJB0K/AGN3MqdvrtPCNHed/o2cDQagbxfkqRrhBDpni99j0vR7HnOBV5RFOVSVVXTJAkVRRmK5pkLcKSqqmrnedrwL+AI4BhFUUarqrq+03r0wGPACLQe3pNUVe2qT3d1p8/ZhKiGAR2bRnv65PlJ9N/ubrz99Fsp5Ba07MQTtz3Gbf++PTFNp9dhspoI+VPjM0azEUMP+lh/CtAb9Iydkj2DbrY7CHjSLS0kvQlnqTPxOwkh8DR58DR7Uvp7220esgnX7AxCgVDGjHHQF0wR7NpVDJg6hu/+Oz9t+qBpqXErERe4ql0ppDMaiVJX62bhuhYMpTZU0gAAIABJREFUepnpE0oZO7TnZHv/w/fn8Y+f4OM3PiYaibDfwdOYMlsTtslmkSHJEls2bGXdt+mi6n5/LRdcNZpR47vuZ/e6PVR9X4ktz07FSK3M977fPp4gtwCRcBS9PofCQhMNDdorYPDwoeiiUxPCJbJOYtTkYsZNK8dZVoDRlJRKEELw2CMrCIVihFubCdbvQCDIKx6Fp24TIW8j+YV53PXMrdhzUgf93hYfvzluHjVb6xLTvl+5lV9edzBTZyWDVbEOJa/RSJTqLXUp62nPXsgYgBDOogJsdiNXzJvDAzd/SsCnLV9QZOXKeXNSfvOcfAd3vPQHWhpbiYSjOEt3bpBsMBmwjhtI86LkPsUIs+8Bozj7mlMyLmO1Wxk2bjibd6Qr7gZC4QxL9A1EF+6A+19yGvFIlOXPvU00EKJo1BCOvv1KHIV5PDnvnyz/YgU6vZ5zLv4ZE/cdTzQaxdfqw+qwpv1eJouJ4oHFeJo9XW5zT/cNyrLM9KPHcN/td1FXk5TZ+OyDL7jpV7dx/0t3JT1kozH0Bv0P4skryTKjTzuN0aedtuvrkKS9WkXYZDFRUFpAc11z4rlvz7P3yA+6ub45TcTP1+LDYrP0qM/5pwZJ2nt7cP8n4w17ASRJuhtN16cFrTL1bSFENq7U59hjBFeSJAvwAtBe69h+yQmS5r+JEb8Q4nPgc+CPkiSdATwoSdI4IcS83bmfbZnT8xRF+S8wD9iqKMrbwFK0k1QCTEWzFHoG+JOqqlkN59pEqM4GrgLeVRRlARopDQIVwJlAMXAHcFsXJczt63tXUZS/k+zBvTjLrJklPbvHT6o8eXdhRxarkOotqbGJWCyWZv4OWqS344BMCEE8Htd0CHvpx/djQ8mwUVStW0U0nAwC5BYPoHDg0BTrhdamVlob0/sZAVoaWzQf0Cx+snsLRh93IFXL17D6laQddvmU0cy84qyU+cLhcMaMqkkHW6rcNHsjLF1dx/nHjWb/iT2/1YeOGcrQMekSAxMP2RejxUS4U99cyYSJvP9BNXml43DXpvdHlpR3nen48q3P+Ofldyf68SYdtA/XPHEjX320Mm3eWDTOhddexJzj90MIgbPEyVcLNvPInz5CABdcP42hY7Re3MbqRq2fs7QASZIIBKI0uPz4aytp+vZL2ptVPeoajjjjGI47e19GTRiBNcPA86P/Lu5AbgU2nUCW4P2XVqQQXLM9GUDRG/TkF+fSXJ989AsEBiIUAzocfPLIWygDK5h+zCz+9twJbFrTgKyTGDmhGIs1c3ArdxeDNOq6LXyxaFna9KVLVhAMhNKqJtphyiKAY+6lMI4tx0Y4mJkkdzX4l3U6DrjqHGZfeRaxSBS9yYgQgusuvJGP3voEgPMvO5uJ+2oBoZA/RMgfIhqOkluYm7Y+k8WUKIudfdhMFi/4IuX7gsJ89pnZfcltX+O7ZWupVNPfIZ9/uITmhmbikXhKb+j/dmZw98KWY8NitxCLxJD1co8JebbrOxwM/08SXOgvUe5HKoQQ1wJIkjQCOAlYKUnSI0KI3+2J7e+R0aAkSQ7gQ2A/0msFur0jhBAvSpL0LfC5JElrhRD/2Q27mQJVVd8E3mzL1E5HE18qRCshvg84Q1XVHpVNt5HmexRFuR8tcz0CrSy7Cc0uabGqqj2Wr1RV9RqSJc3Z5vmE/rqM3YaSgaXodDpynbl4WjwJk/eSQakel/5Wf0arFm+zN1E+Fo1EaKh2JV6YZpsFZ1nhXh357g7tPcbtapIGkyHr4MxotjB4wj54mxuJx6KYbQ4sjty09WUqJeuISDjSa4JrtpozemNmyhDtCiRJ4rCbL2PM3INp2lyFvTifwTOnpAs0ddF23HEvXvpwI9PHlyL3oFy5KxQPLuWqf93Eg5feibftd9aXD2erfizblrkZMukkmoqGU/ndG4llSsqLGTI8u0dp1YZKHrj0jpQAz6pPlvPkHx5Cr9cD6Y9PvV6nKe62YfrhCmP2LaeusoFOGkP4PX6MFiPqR1+zZekanFurcW+uhE4Z+MX//Zgrbzk1I7l11Tawatm3RAljk/RMzYuRbzegHD4DS0khkYCRaNzD288sYsv6Gsw2K0ecfTQnXHwyv/zjmdx95cPJfSeKVfYmBnmu7XXcecEt3Prq3YyfNYkpMzOXF/cFaquyeFaHIzTWNzIgi7WRM9dBjs2a5vGcyat3Z2DLtSVsfTqi3Z6mO0iyjL4tQ79xzaYEuXUWFXDyOcenVVO0NrViz7d3+cy89Z838ftf/JGvF2vq16UVJfztydvJyet95cfOov19kQkBb5BYp6Cor8Wn+fjuYbG9/xXIsoxs0gLLfo8fT5OHWFzrq80rystYCi/r5Iz9/P9rAeok+m2C+pEZQoiNwF2SJJmAeZIkvSeE+Gh3b3dPpTvuQetDBagGPgC+RrMHqkWz50kPP3eAEGKtJElXo/1IL4s9pDyjquoWNPXjvlhXFFjY9tePHzGOPPMo9jlwPyw2C9FIlLeffpP3//0OF9zwi5T5sgnatJvOCyGor6on2qEvMugL0Fjtoqii5EcZsRdC0FTXhL81OWi25rSpp2Y5Hp3eQG5R14PqbF6gyXX0PiCg0+soGlBEQ3VD4tyZbeasPYO7AkmSqNhnLBX7jM06j9FkRKfXpQVH6ltCNHfo5wyGYnj8YXLtvRdvmXDQVO5f8Syuyloef3ItW6oiKcOCgvIJuGvX0uraiLOogHufviulTLgzVn28LGP1wrIPvuSQU47lzSdTS7WtDgvTj0j3As3JtxDwGDNmTDZ/8R2vXfcPAOzABAusF0aao8lrIRaNUbmxmgmdsqMv/+tV7rzhXu03lsCkN5HrKOGIO64mf+iAtmWj/O2y29m8OllV9eiN/8Tf6uOsa8/DlmPlracWEPAGEF4X1RtSgzAiLvjgqbcZP0sTcYrH43jdXiLhCDq9Dkeeo0+u24qhmcmz2WKmsEPAoDNkWWbC8CFU1tbT6gug18mUFznJz+kdkZIkidzCXBwFDqJhTWhPp9ehN+p3+pnmqm1I/L+otCix/s6IRWJdEtx8Zx6PvPYPaqpqCQVDVAypwPAD2Y+NmTIKe44NbyeP66EjB6PX69IILmh9zf0Ed/fC7/HTWNOY+ByIBAgHw5QOLk0jro58B811qQVvsk7erfZ//ejHjxw5aNGGfYAfP8FtM/b9ObAd+I0Q4vUs8/XENPMZ4M/A/sAX3czbj37sFoQCIXwt/oSwkd6g58RfnszcC45nSKfyz2x9tu3EIBwMpZDbdgT9QWKxWFuma+9Ge7Y2FothMBoIeAMp5Ba0TLbRZOxRb1MmSJKEwWTImvkw28xd9jS7W0N8sHgbDU0Bip1WjjxgMDn2zOTMZDFRPqycaCSq2cL8AINgSZYoHFBIw46GBMltaA3z3y9rU5K7JoOMPUu5ayZ4/AFcbg8gKMrLSbODMZqNDBg5iLqmdEEegNN/eQFTJlmZNG0C9m5UdqUsImqyLHPpbefg9/hZ8PJiAJyl+fzxsSspHlBIKBBKKPCabZriaTZBtqAvValXlkCxhFnmMdMxap/fqXx11dff8dfr/pbSb90QDbHVaU+QW4CvPl5LE5MonHEYIhoiUPMt/h3f8PIDL/Cza85mztzpzJk7HYC/nnczNZu2MGrfseQV5VO3rYYtq1X8Ho3ExONxXFWuFKLua/F16eUqhNBKdbspGR4yYhBnXnIaLzycKlNxzV+uwGTuOvih08m9zthmgyzLve4fHTIiWSVQX1OvtXJIUhrJ1XVht9QOSZIoH7ir3Tt9h7yCXO548hZ+f8HN+Nquj9KKEu586ras/tU/xmDnjw2ZWmBi0Rg+jw9HJ/Gv9gosT5NHU6o2G8gvzu+TgNWPFXtrD24/+gaS9hA6BDgAKAV6+nDXoekCzUSrT8vca9bH2BMjt4OAMDBbCNET252sEELEJUn6FJhEP8Htxw+ETL55ABZbeuTWYrdgdVhTlpF1MnnFWplel4UI3WQs9wbE43EaqxtTVFOzGdsH/cFdJrgABaUFuKpcKVlxWSdjy7GR68zNOgB0t4b484Nf4fYkS2K//q6WGy+bljXzKUlS2nGEg2HCoTA6nW6P2EEYTUbKhpQRCUcQQvDhB5tSsrcAsxU77/7zv5gsJvY9dhYFZdnNG2ub3HyrViauuU1VtUxQBlHmTM9O5+Qa8fvTgwkTpgxn1sHZy5I7Ysqh+/Hv255Iy7zOOG42RrORGx6+nF//9ef4PX6Kyp3o9Dp8rT6aapM6d55mD3nFedjz7BmVecsnjWTYgVPZvOibxDSTrCnqtV8ls4/djwFKKoH7fMGXGe+9DdurE//3eSMsWOjD4NB8tiSDBdug6QghCFSvIOgLYMuxa17XG1Yw84ACjj7vJpyDhhAMBFm/Yj3OxSsoG6CJcPlafGm/RTwWx+1yU1ieet7i8Thv/O15Fj77PrPOncvwqSPQG/QUDihkgFKW8dq75i9XMHL8cL5c+BV6g56jTjmcmYdNT5vvx4YBg8u59PqLeOiOx2hqaOblp1/jZxekCmflFubu8ZaOaDhKJBJBr9fvUmZ6xiHTeH35C3y3bA16vZ7JMyZgtWvvioAv3WLJlpvdSqsfvUcsFktRmO+IeDRz/sWea++VUvVPDf09uD9dSJI0HHgJ6I1ogQREgPf6ZKe6wZ4guIPQbH56RW47wAekq0n0ox97Cll4Z6YBsyRJFJQWYLFbCAfDCULWHuU1mkzIspyiCgxaVjitLxP4vrKZZevriMYFowflM23MD1vG3OJqSSMe2QYJvd1Po8lI6eBSAt4A8Xg8RUAGNF/Vj97exOYNTdjsRg46ahgDh+bxzidbUsgtQFNLiPcWbeWMY0f1aNtulzulB9hoMlJUUbTb+60kWUpkwM4/fgwVpQ7Wb21Gr5Mx7djCW5fdnZj31buf47oX/4KjxMln7y4h5A8xadZ4xu4zkmgsxurN21OuUQGs3rKdwtwcDJ2yDsefMJJHH071ZS0ptTFteuZezkwoGzaA3z55Ew9cdic+txd0eiYdfyhHX3Ue1dvcbNvYjM1hZMyUUnR6HfF4PK3kD8Bd76Z8WHlGNXKA0UfPSiG4ktFA2ZAShCQx44ip/OKPP0vP9mXJsnQ8m2u+bSIUTr9mLaXjceiqsTo0wrHti3dwrV9O8bB9sQ8cQk1lDXdcfQf1OzSLGqPZiLLvGCbsl9HRLaWMOxaNEQqEeP/BV3n7gZc574FrUSYkAwoiHqNq4w4GjkwvSZYkiblnHcPcs47JuJ0fMy763QWMHD+CLz9eipDB6/NRVKIFBawO6x4tCxVC0NrYmtJf3FHwbGeQX5jHnKNmpUyzOqyJwIcQAkmWyC/Oz2iX1o++Q6ZnTzv+VxwPegcJ9toMbj/x7g0kScoHFgAD2bkfs33A0b5MI3ClEGJbH+5eVuwJgivIpCay6xhGN/26/ejH7oTZZsbb4s04PRMkSco6CJN1MoXlRbiq6xM9pjq9jsIBxWmDpSVranl+QdKuZfn39VS5vJxy4PDeHE6v0JXfZWd09nndFej0uox9aPG44IE/f8HKpckM3KIPNnPdXw6krjFzxr2+MT1LkgkBbyBN4CocCuN2uSko3XVP3K4QDkZ4/5klbP++jrxiB0eeO4PC8lyOmDGII2YMYsf3lfzhykdSlvG3+HjgotvZ2BTG405en5f/5Rccdd7hxOLpWYh4XOALBsmzp56bmbMr0OklPnhvMz5vhCFDcznz7HFZ1X+zYeph03hk1fMsWaLy2lIXlcEYtz2+gnhzkPDqRogKBg3P57q/HYbZqsta0RANa2JloQyvEoMltUrqmBsvYNo5R1O3VmXH8rWsf2shysHTsBclz9Whxx3EE39/Oi0YM6K4iJYGL/Z8K6FQZn9mWW/kmn/8HkmS8DfW4lqviRYZc7Us8T/n/TNBbkHL/N9y8S0898VzGdfXTrYD3kDCg/nTf7/PgKkTUSYMThNUCofCPbKsisVivP3cO6xbsY6c/ByOP3cuFcN2n9DV7saBR83mwKNm/9C7QcAbSBPP8nv8GEwGcgp6LlglhMDr9hIKhJBlGVueLVFObs+zY8u1EY/FkXV7p4fs7oAQgojXi2wwoDfvOUIvhMiYNQeN3P6vqiLvDCTYa0Wm/jfunt2KeWjJynrgEzT9pI4v4xOBdUBHP8EC4GdoLjFPAK8Cnwkh0gfPuwl7guCqwFWSJBmFEL0y15MkaSha7fddfbJn/ejHLsBit5BTkJMyyDHbzOQW7FphgdlmoXxoBeGg9rwwZeg5jMbivLJoU9qyi1buYOb4MsqcP1D5WpY3h9lm1jxl41oGIq8wb7cOElYsqU4htwCRcJxnH1rBiEMHZlymMD85gGpp9POv2xexbtkOTGY9B540lpMu2hdZJycsbjoj2/TeIhKKMu/Mx1n/dTLI+eHzX/HX1y+lbKiWtdr63aaMZLCpqp54BIySRFjIgMQ///gkkw6YmHV7hix93tNnDGD6jAEZv9sZBCLwypf/z955h8lVlX/8c6a3nZmd3dmW3kghISGB0CFUAQEBC0Wl/GwgigVEICqgoiCKShGRakFFRAQE6QQCSIeEJEB622Tr7Oz0du/5/XF3Znd27myf3Q3M53nywJy5c+fO7J17z/e87/t9W0mkuo3VDJU2zLMrSa8NsH1jB/fe+BoXXXVY8Z0YikddjQYDE/fdC4vdxpIzjmX+SYey6u//5bmf3ZFzVH7lpvs47fc/om7+LABmzp3B9Xf+lKu++RPCXYtVnzj1DCKBCfxi+ZuYTIJ9D27QFZJ77e1nn0O1LK1EqDudWioZ4tE4m9YVtvlLJVNsWLOBWXvPKjAOc1e5UTJKTtwCpOJJHJWaWOr9/haruajA3fXBVt58cAXJaJzn3niHVW91t3b6113/4uaHb2LuvnN1v8cyAyMR1V/US0QTAxa4UkradrXl7SsaiuKf4M8tlAohPlb1nKHt23nz1zcS2r4dgImHHcaiCy4cNaErELr9knu39CtTnHIN7kcPIYQTOB94EPiSlLKgflYIkQFUKeXPe41fAnwK+D4QRDMYHjVGQ+A+j6bk7xJCnC+lLLQHHABCCB/wT7T87RdG8PjKlClKdsLZ8wanZBRMFlOu7stsNffZBmcgGE1G7K7iaXahaIqkTl9UgNZgfMwErqPCoWvM4an2YLaYdSMQUkpURUUYRFHzoMHS1KjfQqipMczFR0zlrXUtRHvUlFY4zRx/2FQA0imF6y58hO0fam6tEeBft71OOpHhzG8fXFTEi2G25inGM397I0/cAoTao/zxp49z+V3nAOAsUvclpcRl1CK1CdVAp2pCStj+wXZqF02hOZDfsrvG68bRhxNyf0gpeeJPr/DWc+swGo0cftpiDjk5v0Tn/S2BnLiF7t+Sodqe64D+/jtNGE1GnB4n0c58Z1mLzULrjlZdQW+xW1hw/IEsPPHg3Fhw+25W/vbPWrsnRXtNojPCfy//Nec9eitCCKSUHPaJQ3lm3WPs3tFENAy/vGwlmYwmODIZyRsvNrLwkElEYkk++amp+KptRMJpaid118taXd0tb+JNH+KYfkhu/70xmozUTKqhs60z56Ls9rmx2q2aC3OP10xeMJPmLbs0kylFxdRD6ISDUd3fzfqVq7jz/J+SSaUJZJKsT/SKMkZi3Pj9X3PHU38oeO1QURQV48esLYoqizjj67SDK0YimtAVyu2725kwc/iLSnsa6WiUV37yYxKB7gWjnStXIgwGllz8rZK/vxACe4W9wBxRGETOTLJMmY8pB6Pprq/qidsu3kVreZpHl957UAjxL+Ac4O9CiHOllANLnxsmJRe4UsqgEOIPwMXAYiHET4F/SSkHFP7oErbnAJej9Y69W0o58LzIMmV6oKoqyVgSVVWx2CxFDZGyfVdDgRBSlZgsJny1PqSqrbznhK9B4G/wl3yFt8JhwWw0kNZpO+Rzj11tltvnRlW01ieguab66nw5l+jeEYhUIkX77nYyaW2dy1HhoLK2cthC1+fXXxyo8jvw++z84MKlPLZiC20dcfw+OycdOR2fV/ve1r62Iydue/LEfav43DcPLNqeqFhKuuZ8q7WeMZqMgz43dm5o0R1v3NSa+/95hy1i0rxp7FiX38Es0xWBkBJsBpWkVElII26viwXTJ2M176aloxMpoabSzexJDcM6d/+w/EEev+el3ONX/7uac688gVO/fjQGY9ftZQBeaRardp5kXUjjYe3+Z7aZCyadoH33Lo+rwOwrlUjRGYrxqT9ej5pR2Pz0y6y69yFkRiG4bTexjgiPrdzFcy/uIJVWmDrJzZe/uID3nltPRsdIxmxQOf+Cebk1jkqflVQ0TCKmuTs7quvxTdubwJa1JNq2IEwWDjrmAF55+tW8/dROrGXxoYsxmU1U1Re27en9Nzjpu2dx1XnLOfOoc0inksyYPZ2LrryQhkkNOIq08PnH5b/LObLHVf115K0fbtUdHyzrXtvIzZf+hR3rm/BUV/D5753EiecdMSL7LjWJWIKdWxvxVHrw92HKVoxivxe96F8xste/3qiqSjwS/9ilxLaueS9P3GbZuXIl+379Igyj0E2gsqYSqXSnKhuMBqrqq8bERX/PpNDZfPwwXo9rj2AO8KaUsniRuiZwDyr2ZFdb1z8KIbYCt6F11ik5o/XL/QFwJLAA+AsQF0L8D3gP2IYWNLEAZwghomgR32nAvl2v0XLtoBP44Sgdc5mPGEpG6eo52z258Pq9us6+kWCEzrbuaFcmlaG1sSuK1GMeI1VJ2+42GqY1lCyiB2A2GTj1kKmkI1F8TjPhRIaXNnQwodbDhOqxc9cUQjNA8VR5tF6X5uKCTlEUWhvzXZBj4RgIqKor3qtzIOx3yASm7+Vj8/ruSZIQ8JnzNGMfv8/Oeafr952NdOqvtaVTCslEpmhKot7nTCVTtO/qFvBWu5WqhqpBObz66vXTHKvqulPgLTYLl93/U/54+a28/8p7xMMxkql0TuBmD80mUrhrqtnn4L0xGgzMnTKBuVMGHiFKJVLEIjGQYHfasTq6Tb12bW7NE7dZ/nzd4zje/wvTjzqWmaedzZzpPqwWI8lsFFdKEAK1PZH7LR1+4qyu4xZ4qjx4qrTPGmwN6h6XklYKRICS0c4vg0VbXDGYjMw84XDUjMLqex/CYDLy+IuN/PfZ7uj4lu0hbrjlTfbx6wuK2fN9ulOjSDCCzaGJ6+nLTsdRVUdo1xaEUeXiH56Fo8LFM/96BoCZ82dyzZ3X9GmEZLFbMJlNufPmuadeZGtH94LGhvc3sfzCq7j1/ptYcOD0gtenEkkCO5pzj81C/3yrrhu8oOtN46ZmfnjGb0nEtIqjYGuIWy/7KzanlaM+e+Cw919Knnv0RX78jZ8T7XK1P+Fzx/KD317WZz/n3hRbjBuMg2xfLY0S0cSYCdx0Mk1HS0fOLd5d5R4R74T+UIsYE0pVRVUUDCYTUkqiIc2J3GjUsj1GUnwaDAaqJ1SjZBRUVcVkHrwzdpmPVzbHxwQXsL2vDaSUjUIIRQixUEq5qo/tXhBCXCWEmCOl/GDEj7QXoyJwpZQRIcRRaKnF8wAHWi+lo3ptel2vxz2vLingVCllU8kOtMxHmkBzIE/cgjaBttqtBb0a9UykikXyVEUlnU4PapI0WDLpDNMqBNKpTTaqXBYmVzmonVRoRjUWGIyGfh2Fk7FknrjNEgvF8NUO3oG0J2azkct+dgQP/WUtWzYEcDjNHHPKLBYs7r+/59S5foTIlWvmqJ/ixe600FGslVOvYVVRC9oYJeNJArsD+Cf6B/xZjj17KU/++TXaGrvFndFk4LPfzr9cevyVXHzXDwC4+vTLWPuS3n1FEm5p4o/X3sUF11404GMAirbsyfaDbN7ervs6VRVEorBjxRMYTGZmnnoWF56xgDv+uYZoPANCYIxlSHwQwGgycOzpczj13OI1wnroRcvi0bju+TX1qANYfe9DLPjs8Tz4SmPB88HOJNa5+gss/rruyb2UkubtTSSicSbPmZpr7SMMBuoXHkr9wm4DpKvvXMLlN11OKpWiwlPR77mdnVy3724nnUzz+IOFpUrRSJT317zPggP3LnjObLVg97iId123qkxWdqdjxNX8tNmvXPHlPo8DIKMoSCkxGY10bNlB0zvrMFpMTDp4PxxVXp65/385cduTx+5eMa4F7sZ1m1n+5Wvyoqf//cfTVNVU8a0fXzjg/RTr6zuYfr92p71oKvtYBZsy6QwtO1pyjv4ZNZP7/Zda5Ppmz8ZgNqOm0wXjJqsVKSXtu9tz/bEBwsEwNRNrht1nuTdGkxEjH5/a5xFDjOMa3LGfIu3JtKKlKffH68BZQFGB28VmNO330RC4AFLKdiHEoWgi9stoSz09LaQl3aeh7PFfAWwFzpZS5ud9lSkzCPRajIAmQnrfJIuJ2WIYSnxhD3eEC47JICASDGNz6PdyHW/02fN3BLA7zJz91cG3aJs4w8dZ3zmYv97Y3VrbUWHhwmuPBcDmsBENRQte1ztFOZnQF/CJWCJXizwQ3D4n1z38df5y3RNs/7AZr9/Fp795JHP3n1r0NSd++dQCgSulJC01gfPv2x/k8987JydO+6Ovlj0OlwMlo7Di0ZVE0y2AwGJwYjZqEUqDQeK0a9/DrldXMPPUs5g3w8d13zmEHbs6cTqt1FU7iEfTWG0mjKbi34vNaStwsAZ06+KKnV9Gi4X9/u80DrroLP562fO629RN8nDKF+bzyF/W5MbmLa5j2mw/kc4w8UiM25ffygdvaKZNjgoH37t9OUuPKy7obA7boFq7mC1m6qbUoSoqqaT+tSoSLjwPQYt8H//dM3noqjsBMArB3nYvHW4zhqoK3D43Z154Bod84hDd1wOkMxm27NhNKKK9R/j1VWy66x/ILsFj9VRwwm9+RDyin9EQKzI+mqxfu4G3X30Xm91aZM7sAAAgAElEQVTGEZ84jMqq7hrplU+8rJsa/OzDKwYlcB0VDhKxRF7qvMliwuv39vGqfIQQVPgqdP0Lxip6GwvHCtrVgXbvKbXAddTUsORb3+Kt3/42J3Kd9fW5+tt4JJ4nbkG7R3e0dFA7ubakx1ZmoIhx3Ad3vB7XHsFrwC+FEK6sA7IQYglaqnErcK6Usg14BbhcCPEnKeW6Pva3CM18uOSManGBlDIIXCCEuB3NVetkIHs173kGZv//Q7Qv8S4ppf6dvUyZAdLTdCZvXCe6YrVbtfTZXvRMI8xt67D2mXI2EugJJxicsclYY7Vbu5eyeo2PdRT6k+cuZq9F9bz/5i4sNhP7HzODqlqt1tFR4dAVuAXffR/6fTD1eQC+OjcX/+ZzA95+6YkH863fX86frr6DwO42VCRxVSF71kgp6WwLDljgKmmlqGBMJpJcff6NvPHcu7mxuJJEomIxujhkfgSLSXutmtIifW+teI/fXHonu7Y04612c/6Vn+Okc4/p9zhsDhtevzcvVdnusudSmHvSsydyT5weF4d9RzPnmjW9kg825Nf6CQEzpnk56vDJHHjUNBq3BvFW2Zm1tx9hEGTSae66+vc5cQuaGPj5//2Y3710J/VTB94beCAYjAb2WbqAlU++XPDcwqX6vXQBDjv/JOxuJ/+77ylS8QTTl+7NiZd9HmuvxQA94zwpJZu37yIc1a55qfYONt3dLW4Bkp1hnvvhjcz9/Pk8emfhQsHcpTMG90FHmPvv/ifXX/GrnEir8vu47YGb2GtvLf1dLZaBoyPq+kIIga/Wh6PCQTqZ7jIItA/aR6C3fwGCMe13W+weM9jvZ6hMOOhgfHvNpmPjBowWK9Xz5mG0ar/pYr3Vi42XGSPGawS3zJCRUr4nhNgOXAEs7xq+CdgPbdZzHvBL4HHgJ8ALQojvA3+XUuYm0UIIY9c+9gV+PxrHPibV81LKd4AzhRAWYClaEXO2OKgDaAJeK6cjlxlJnB4n4UB+NMhgMOiumHtrvKRTadLJHs67lRVUVFYQaA7k6jLtLjuVtZUlF2jFzLD6a0CvqipIBhw9LCUms4mquiram9pzYtBkMZWsl+xgmbWwnlkL6wvGYxH9PrrRzmheXaXFbtEWUXpNpC02y4i5RffFoacfyewD5nPOojMLJqV2l4OaiQOPdPR1vmxcvTVP3GZJqZ2cenCamRO7fzPeWfPYtHYbV551fa48INgW4tffvROXx8myU4v6UuSoqKzQxESX83Cx2jiL1UJlTSUdLd2RZ5PFRGVtZe7xlz4/n1/c8gatbVo0SAg487TZTJmk1T1PnOZl4rT8SFxVQxWrV75T+HkTSd5d8Rb1542swAW44obvs23jRWzftCM39pXvfYklhyzu83X7ffpIlpy2rCtdMP870hY5Ool0RpCqxGKz4KvzYbaYSWcyOXELENu2C6kjeEI7d3PyEbM4/ouH8cSfV+bGZy6czPk/PH2In3b4bNu0PU/cArS3Blj+9at54IX7ADjk2AP5w/X3FAi5w0/Ij2rvWLeFf99wH207m6mZWs+nLz+Xuhn5detCaO66A3HY7Rl9tLvsuftN1r/A7XOjKAoms2lUrhPFKJbqazYXb0s10tirqrBXFZYLFG0R9jFqo1SmzBjyXeAJIcRMtP63B5GfaYuU8h0hxBpgPnAH8DshxEYggOaxtBeQXZl+bTQOekzt4br64r7U9a9MmZLiqfKA1Gp3kNrkN61aePSfHyJVyT5L6pgxW7u5Go1GaifVEo/FUTMqZqs5FyHyT/DrRkFKiavSRSwSyxPcRrNRN5IFmrANNAdybrQWm4WquipMlrF1hHRUOLDaraQSKYRBYLVZ88y5pJSsfnkbuzYHqKx1seTI6ZjH+JiLpav3jnAajUaqG6pp39Wem2ibLJpr7midJ/4Jfr509de440e35cYMRgPf/vUlg6pVK9ayx+6y8/47m3Vfo0rJxNru89NZP5G5Z3+Zu37xSEHtO8Cj9zwzIIGbPZ6BTGZdXhdWh5V0Iq2dXw5rnmiorrJzzfcPZs37bcQTGaZN8TCpoe+othCiuIFcif6utRNquO+5P7LyqZfp7Ohk3qK5zF9SWHvbk3g0TkdzB0pGIRmOsv75N9m6uZHqqfWc9PXPkIqn8tK9U4kUrTtbqZtSV3guF4mGIwQWh51v/PLzLPv0Ura930hlrYelxy7od7GtlKx5Z51upHHDuo3Eo3HsTjtzFu7Fj27+Pj/7zi9JdV1HDzv+YC6++oLc9o0fbuPaky8lGdMWMLev2cy6lau4+qnf4p/cfz1/b8Id4bzsg2goWmBsONBzu9TYXXYcFY6CzKVELEHT1iaq6qtGvN51oDgqHIQ7wgXXkWL3vzKjj2D81uCWE5SHh5TyGSHE+WiR155Zt63An3tsegXwaNf/W9A8l3qWogK8LaV8r7RHrFH2Py/zsUEIgdfvxVPtQUrJW6/u4rYbVqB0pS0/fP/7nHfREpYdN03b3iBwFOlNO9optQaDgZpJNUQ7o2RSGYxmIy6Pq2ikLdAUyKtZSiVStDa2UjuldkyjBFLKXEpfb1RV8rvLn+CVxz7Mjc1YUMsVd56OwzV2dcZWh366usVeONmzOWzUT6snlUwhhMBis4z6ufKZiz7H9L1n8Mazr2E0GjjslGXMXjxn0Pvp2bJHIrE7tdTgybP0XZh9tV6W/fjHhHdsxWR3ULnXPIxmS9HazHgRd+rhYraYi2Y8ANhtJvbfd+BiRQjBQSceyvMPPJM3brVbWXzkfkM+zv5wuBx84vRjB7RtKpGirVFrddW5u427v349rzU1k+oSrr+/6W/c++ztBeeiklGIR+PawpPFTLIr5dM7ewZzzz+DdChMy9vvEdqiRZJnn3w0Jpv2W1xw8F4sOHivEfmsw8VVoV8jaraY80TZJ888nkOOO4it67fh9XmYMmty3nfy2M0P5MRtllhnhKf+8G8+/9MLGAyKoui6gAdbgzjcjkE5q48GQgh8dVrqdWd7Z95iaiatdRGom1JX0Ne8PzLpDMl4EoG24DQUMW8wGKiZqPWQTiVSGIwGKiorPnbtlMY35TZBH2WklH8WQjyNZiQ1Ay3T9k4pZUuPbR4TQlwJ/Az9oq04Ov1yS0VZ4Jb52CGEIJVSuOumN3PiFjQX3T/d9jaLl9bj9urXQamKiqqqQ+pvOlwMBoNuS6PeZHsp9iaTzpCKp4r2by0lkU6t7ZKqaO0XKmsLa81eeGhtnrgF2PReM//47Suct/zIETkOJaNo9bQSrE4rVlv/wtnpdpKMJ/NMZawOKx6ffvTAYDSMWR1dlsXLlrB42ZJh7aN3y54scxbP5JTzjuORe5/KjRlNRi658QKctQ04a/NTdhccOIf//qWwZnP+gbOHdXzFeHdTC8+t2k44nqKu0skpB86g3qffO3agfP0XFxMKdPLWs2+AMOLyevje779H7RCieqWgZ6R9xc3354lbgEg8oV23dESVVLX00xlTJrBhy05MKlRYLFQfqaXuzjjpWNb+8R94anwc8I1zS/9hhsDSw/Zn2qypbNmwNW/8M+eeVvCZvT4Piw7Ud+3u2F3YD1sb13cM7wu9rIXcc+nMuBO4oP3mbU4b7TqfV1VUmrY1ae3gTEa8fm+fra9AS89u392eyxDIuoUXq5fvC6PJOG7KWcoUYZxGcMuMDF1lo7/uZ5vrhBBrgYvR6nQdQBvwInCtlHJNX68fSUZV4AohXEAFWsufcFeKcpkyo05rc5R4rHACoiiSXTvDBQJXSs2xMTuRNBgNVNVVjYlY7I++HKBL7WSsKCrGXlHlWDiW58ibjQbUTq7Na620YdVu3X1uXDUypfi9297QrtV39ud+mjWVcXlcpFNpTCYTVsfYG2ONJd/+5VfYe+ls3n15LTa7lePOOII5i2fqbnvcmYez+pX3eeKvK3JjCw6aw/lXDNxEa6C8t7WVf6zsXiTZ1hLijidWc/Epi/G6hv5bdVQ4ufzuH3PbT19g9Rtaf9pHHwwwaU6Y2gkDM+4qJarsTs/d/P7WPHEL2u/+g9Ub2Hvfwkh+NsLpsNmYO2MKm198ifZd2zBYrLhnL8TkrGDBl86mYUbDmGZ/9IXdYeO2B27imm9fy5uvvI3NbuO0L5zCN5cPLljQsNdkPnilMHuuftakQR9TX5FKk2l8xxaK3Sey9ctKRqF9dzsGg6HoPVBVVNqb2vP2paoq7bvbqZ9W/7G+fn5UEeU+uGUAKeWjdKcqjxklu8oKISYAnwSOQSs6ntH7/YQQHWi9kN4EngKelVLq90coU2aESGcUYmqKysk2Qk1JlFT+zbzCXbi63NnemRclURWVtl1t1E6pxWwxE27cTcfGLVjcLmoWzMMwhhMYg9GgGcf0cpjMpsyWghee38aD//iAUGeSmloH531pIfPma71fcy6hPZFa1MlS0308xdKQ7RXDP+ZMKpMvbrsId4SxOftv5yKEwGq3Diny8FFECMFxZxzBcWccMaBtL73pa3zirCPYvqGR6nof+x25DybzyP9GXlpb2Oc2kVJ4a2MzRy+aMqx933Pj6zlxC7B1fYAbLn+ea+84EattbAWL1W7NZRjY3U7M7WbO/eaZHP6JQzCZTax6fQ1/vOlv/OKea/Je5/V7864Jmx++n+1Pdc9L2v73DFPOuABrdR2ZdKZkvb6bg1FWb2kmlVGZ5HezYIp/0AKobkIttz1w07D8ET51ydmsfvZN2nY058Ya9prMCV//9KD3ZTKbcHldBdc/l9c1LmpuiyGEwOawkYj1X0IQ6YwUFbipZEp3sVXJKGTSmT7LCMqUKVNmuIz4XVkIcThwKXAC5JZzit1pfGhuXAcB3wSCQog/Ab+RUm4b6WMrU6Y9HOWptz8klkyz4BQ/6bjC2sfaCDVpyQT7Lq2nYZIWkVEzClueW0lwy3bSGKk5YD/Mju6ULCkl8UicTSue5K3b7oaum3nV7Jkc+fMfYvW4R/8Dok1QquqraG1szbWyyY6VYmL1+qu7uOeO7h6sLc0xbvzFa/zoJ4cxeYqnaJuJ3pOfZafvzTN/X00qmR9ZP+7shcM+xni0MGU7SzKeHPOU4o86Qgj2OXgu+xw8t6TvE0/qp4UWGx8oyXiG11/YXjDeujvCh6tb2GfpyDgpr3z8f/zrrv8Qi8RZsHQuX7r8i9gHkCXSM41+2TknMi+R5PBPHpZ7/oAjljBxar1WHx5PoaoqFrslT7AGN63PE7cASizCrif+wbQvXFyylNotTUH+9uJalK7rwdubmtje0skn9585JJE6nMigu9rLVU/8hufufYzWHc3UTmvg6PNPwt5PKm4xvH4vJrMpz0XZ5R1euvxo4Kvz0bqztd82PH21EOor2l+O3n4EEeO4Bne8HleZkjJiAlcI0QDcDJyaHerxdH95kdltK9Hytr8mhLgJuFpKOfbd48t8JFBVybPvbiDWwzzDbDcy/yQ/G/8bZOHiej53zgKEEKgZheeX/4zG197Obbv96edZ/P3v5AnXpo27eevWu/Lep/3Djbxx8x0c+oNLSv+himC2mqmbWkcylkRKrSVIKSJmAM8/u7VgLJNReenFHZz9RQ9WuzXPsCRL72joxJlVXH7Hadzzk+do3BzAV+PisxcfzP5H66e+jhRDSbts3hXmucc2Eu5MMnl6JcecPBNTiXsh90RKSTQUJR6JIxDYK+w43fpGOx8nJla7aAsVLmZMrB5eGnE6XbzfdF/PDYYn7n+Wn1z4y9zjNW+8z9q3PuTmh6/r97ebS6N3u/CeeZyuudGEKQ0oaQWHW1+shbbpu2MnmnfiqHCULOr42Jsbc+I2yzubm9lnWg2T/aPvkuvyuTnlu2eNyL6EELn2cnsSRpORmsk1tO9uz7XE06MvDwOz1YzZai649tuctpLdi8qMMeUa3DLjiBG5ygghjgHuQ+tlK9AEbc87Vn/LJ70FsA34HvBJIcTnpJTvj8Rxlvl4E44nCMcLM+BNNgOX/uxQantMQjY89nSeuAVItLWz6cGHmfd/XwS0COSf79lAnajCK/NNOZreWV2CTzA4ivX47Uk8kqRpWwdun4Oq+qFFnBNx/ehYdtxT7SEZT+ZNdOwVdt2J9pwlE7j+318c8b6LfUVoB+vEuX1zBz+79NlcDffLbGXV641c8tNlmEyjc4PvbOvMa/kSj8ZR0gruqrHJGhgvnLD/dHa2RfJE7sLpfvaZ7h/Wfp0VFibP8LJ9U75wtFiNTJ9d2LdzKNz+k3sLxla/upb/Pf0Gh53YfzslIbpcas1GXYELfUfczE79yKLJ7iyZuY+iqHQUcdlu64yPicAdLPFInHAwjKqoWGwWPNWecWkgNVhC7aG+xa3dituXf73JpDNEghGUjILZaqaqvopgSzCX7mx32fHVjq5RlJSSZDyJqqiaw/oYtrP6qDNuI7hlhoUQYrKUsjCFqe/X/BKtTVAaeA+tDPVlKeXIrAgPgGELXCHEqcDfgZ5XjexZngA2AeuBdiDS9c+G1vDXg5amvDdQ3+P1WcG7N/CSEOIEKeXrwz3WMh9v+orUGXr1uezYuEV3u8gOrcZPUVT+888tbN8SIWRYyFLlubztjJax6RfYF1kH4exE7J0VW7j9ysdJxTXheein5nPBzz+JyTK4ydms2T62bC6cUM+arU1kBKLgu1fSSp8idqRvlGarGV+dL68OVwhB9YTqfqMJUkqklLnP8Lc/vFNgULbu3RZefX4bhx47bUSPW49MOpMnbrN0tnfi8hZvHfVR541n3+O1J1dhRrJo8Qxq5k2kttLJnIm+YZ9PQgguXH4Iv7piBW3NWi2+xWrkgisPprJ6aOmrPVFVldYiTr3Nja15j/tb/Mn2Vc2WJ/Skr8m9f+ESHDX1xFryzd6mfeLkkk1cDQaBw2oippNCXuEY22voxlU7+Mt1j9OyI0DdlGq+cMWJTJ+f3yIrFo7lOQ6nk2lS8RQ1k2vGrSHXQOndAzuL3aVli9ictrzzIp1K07KjJWdERVgT//6J3fXUpTiPVFUlFAhp7YMMBlxeV25BU1VV2hrbSPZY2HZXucv9c0uCGMcR3LLwHiZbhBB+KWWhkUkRpJSXAgghqoBPoPXQdQghzpZSvlKi48xjWAJXCLEUuL9rP9kzaCXwGPCUlPLdQeyrGtgXOBQtzXlB11OVwJNCiP2llBuHc7xlPt64bBZqvRU0B/PFgddpp6rCSTyZIpFKYbdasXr1b4AtAcmffr+Opl1RQkGtbjdmcEOvueT04wbe1iaTVnjruY20NoaonexlyZEzRlykpJNpWnb2mHwArTtbc+IW4KWH1+CrreDsywbXkuf0z85h6+Yg6z/svvYdevgkDjlMcx4Nd4TzJhig9e0MB8J4qkdvopGdlKUTac2Iy2rOm3BJVZJOpzEYDLl0zM62TsLBMEjNNMZX52PXjkJxCbB7Z2hUPkcm3Uf7kUwGi3H8La6Umn/e8gR3/fif3QP3vsDFvzqHuV88fMTeo2Gyh2vvPJEPVrWQTinMmFeNbwTELWiLbxNnNLBjY6FJ1pQuB993X3mPGy65le0bdlJd5+Mry8/hxLOOKdi+Zw1+zzp3X52vz8Uck83Ofpf8kHX33Unn5g2YbHYmHfkJphz7yRH4hPoIIVi2YAqPv7kpb3xStZvpdX27m5eSret2ceVpt5JKaNfHXZvbWPvaZn75328zaVZtbrvO9s6C16ZTaeLhOE7Pnl0yUMxJ2Wq36ma9ZNvA9SSVSBHtjJYsRVtKWSBg45E41Q3V2F12gq3BgntPqD2ExWbB7iz30B1JBOM3gjs+j2qPYshfoZSyHfirEOIxYBXwkBBiqpSyuDHKCDFkgSuEcAIPoEVuM8CdwC1SynVD2Z+Usg14uuvfVUKIg4DlwIlokd6HhBCLpZR9ux6UKVMEIQRHL5zF86s3srtDEyN+t5Mj95nJhp272drUHSmZeOgBWB9+gmQoX8ysz8wisK4jb6xuciXOiJ9ocyvCaGT2qSey4JwzBnRMqUSa677yIO+/viM3ts+hU/nebacPOpLaFx0tHXmTDyklS46ewaqV23n/9Z258def/GDQAtdmM3HZ8oNZs7qFjo4E9Q0uZs+pyt3skgl9Y/RUYvS7hBmNRozOwu81EUvQvrs99x3ZHDbMVnNepDTb3mjS1AqC7YXX5pESO/3Rp0gZ5+1HSkGgOcjdP32wYPz3V/6NI05bimMY7YF6Y7ObWXTghP43HAKX3nARl57xI9I9+qce++ll7HfEIja/v43vfPqHpJLab6ZlVxvXXnQjDpedZScfUrAvq91K/dR64pE4EonNbhtQaqbNV8Xib35/5D7UAFgysx6r2cTbG3fnXJSPXDAF4xhGQB++/YWcuM2SjKV45A8vctENn82N6UXJ+xofr0gpCQVCxMIxkFqdrNVu1XVStjr0626LGVL1Z1Q1HOKReIGABQi2BrG77CRj+veeZCxZFrhlyowiUspOIcTf0cpPTwD+Ver3HM5s6HJgErAWOGOowrYYUsr/AScJIU4B7kHL5f4e8LORfJ8yHy/sVjMn7j+XRCqNBGxmE42tgTxxC7CzM8LiX/yIrXfdR+fWHdirKtn77M+w8R9BAhu7Ba7RJDj7ogOYs8/JJENhzHY7xkG0P3j4D6/liVuA1S9t5fF73+SUrx4wrM/ak95GH1nx2TC9Mk/g9tcmV1VVgq3BXG2WvcKOt8qLyWRg0eI63dcUi0aPZSptsC1I0/bd+CfU4PF5aNvVlhftSsQSuhMnqUpOPmM2a99pRe2xff0kNwcfPXU0Dh2T2URFZUVBmrKn2vOxTE/eualZtx1JKpmmeXsb0+ZNHIOjGjz7HbEvdzzzW/7zlyeJhmMs2H8uJ59zPEIIHrvvqZy47cm/7vqPrsAFLVV5T3DsBZg/xc/8KcOrkx5JOlr0szGCvcbNFrPuQp3JsmctNAVbgkQ6u9sZRYIRrHZrQbu5yppKzBazbpq8yWQikyrMLinloluxbJZMRhsfrRKYMnSFcMfp/af85x4vZFfHSl/LxRAFrhDCAXwLWA0sk1LqO1qMAFLKR4QQB6KlPl8mhPiNlDJWqvcr8/HA1kOEtgT1JzNRo4ljb7gqb+yKJWke+ftatm3soMJj5bjTZjOjy2TGNoS2QBtX7dYfX60/PlQMRoOuwUwkmL9Cv9+xexXdh5SywFUz0hFBzahU1Rc32nF5Xbkenb3Hx4K/3Phn7v75XaiqihCCT3/1M5xy7qcKJj3FUvTqJ1Zw2c+X8cS/PiQUTDB5eiWfPX8f7I7RMy/xVHswW8y59keOCgeOIbYyGU1UVSURSyBVzdm7WC9MKSWpRIpMKoPRZMTqsBadlFYXSWXVnIX3rFq7WfOn853rLiwYj4b1b3nFxkuJqqo5UWexWUpWaxoLx4iFYloE2mnD5XGNmjCZMqeed19YXzg+tz7vcWVNJS07WvKuFXaXfdDGdWOJoih54jZLMp6kZnINUpGoqorJZCLUEaKjRVvgtTlt+Gp9uXIOd5W7IOJrNBlxertTtZu2trFjw24qazzM2GeS1rFAVVEyCkaTcdDnUrGFhGyWi9PjLDRcE+wR18o9kvLCwUeZ/rrh9IkQYgaQTW0clRSXoS6tnY5mFPW5UorbLFLKDUKI04CXgM8B95b6Pct8fCh2SU7Gk7TvbqfCV5HrF2l3mjnjS4ty2ySiCQLNAS2ty2XD4RrcjdPu0k/3clQUb78wFNxV7jyDJYB0SmHtq93R4wOOn8MZ3z2i6D4yqYyuq2YsHMPr9xZtI2K1WfFP9BNsCZJJZzCZTXj8noI2QaPBioef585r78g9llLyz9sfwOPzsOyUgaVmW+1W5i50M3dhbf8blwghBE6Pc1Tq/LKT9+GKi0xKS/HuGXWprK3E5clf6JBS0tHcQTTUbXJjdVipbqjWnQA3TK/l2DMP5um/5/tWnPrVY/BUddf+ZdIZYpE4Fd7RE0ojxfz95/Lon5/UHR9NUskUbY1tuRRcg9FA9YTqPtvFDIVQIERnW3d9ayKaIJ1Mj5oD72e/fSxvP/8BO9Y358amzmvg0984Km87i81C7ZRaop3d5n1Oj3OPOr961832RCra4kK21rWngE1EE7TtaqNmUo3m4G23UjOphnAgjKIomCwmvNXenKP0A799gj///NHc9WS/Y+bzzRvPIpoV1wK81d5B1evanXZsDluBsK6sqQS0RVRVUQl1hEBq52tVXVXZSbkkCMR4jeCWQ7hFEULcPcBNbxFC6Of8940JLdv3kK7/l8C4Npk6CrhfSlm4xFkipJT/E0I8ABxPWeCWGUFqfV7dKK7TYCQWjhGPxKmZVIPFlm/eEwlGcqvZANFQlExVZlCtWo77/L68/tT6vBRLg9GAMLdyw8XXUVVXzSnnn0p1ffUQPlmPz9LVIzXc0d3Oot7v5TfPXMiuze24q5zUTanscx+KUnzRTVXUPvtk2hw26qbqpzCPJisfW6k7/uYLbxYIXJvDhqIoeendnuqxEeZjgaqqdDR3aHV5aCKzqq5qyP1QA82BgpTCjuaOXCpkllgoliduQauZC7WH8Pr1o7XfuvFcGqbX8tqTqxBCcNin9uNTXzk69znu+vl9/O2Wf5FOpqmZ4Gf5777D4sP2GdLnGAtOPPsY3lq5iqceeD43Nm/JbL66/JxROwYpJW272vLqS1VFpX1XO3VT60Yskquqap64zZI1KyoW9R9JXB47v/jPxTz919do3h6gbmoVx559ADad+lOzxVxwXkopiYVjuQwEh9sxbl2VTSYTwiB00/yzQlDJKLr1uKlEinQynbs3Wu1WrBMKv6O3n1/Hn372SP6gVLvFLYDUamdNZtOAI+BZJ/xwRzjPRTl7PEIIPNUe3FVuVEXV7q170OLDHkf5u90Tyf7RnGjdbBYAbgojtmeO0Ps8PFpdcYYqcBcxNrWw9wM3jMH7lvkIU1/lJZZMsqmxe7W+xsnYAkkAACAASURBVGbHY9Fu1FJKOts78U/orhFTFZWO1o6CfXW2d2KxWbA5B2ZsM2/pJC659VTuu34FrY0haia5CUfXcf+tD+e2eexPj3LLk7dRP6VhqB8R0ERuVuhmcXlN7LV4YDWKZqu5u8t1D4RBYDTvGX0fLVYLX/3B15i9aA7JRJIVjzzPU/94ErPFnDfJs9qt+Op9GISBRDyhLQpYLUVX/j/cEeDdTW1IKZk3pYp9pg9vQWI8EGgKEI90m2klY0laG1upnVw76ElithelHsl4Mk+0JOIJpJSE2zoRBoHL50YIUfT1oKVCnvntT3Lmtwsdf/9+y0P86Vf35x63NLby/TOv4e4Xb2LSjNIYRo00BoOBH/3+Uk4482i2bdiJv76KQz6xdFTEXpZMKoOSLlzkUjIKmVSmYAFwqPRl0JRJZ0btM9tdNk75avGMlmJIKWltbM0zOAoHw9RMqhmX/XGFQeCr9eW1OwLysnL0xG+WYqUcPXlnxfsFY/sdM09321g4NqgUbyFEQT9evW36W5iTUpJKplAzKiaLaVR/Wx8Vxm8Et0wxpJTn93wstD/iocDX0FKKs7O+4a5eSOA+4IJh7mfADFXg+oEPRvJABshaoGYM3rfMRxghBDMn1DG5ppqW3W1kYskCB8/eE7tMJlO0IqG1sTXXpmAgLDlqJkuOmgnAg7c/wK1Xvpn3fEdrB7df/XuuvufHA/xEpcFoNFJZU0lHc76wtzvt4zY60RMpJad/+dPY7N2LD1/8zjnY7Db2WrQXDdMaSKfSCIPQBG+XiOvLbVNRVZ55exvPvbuDdFeg9/UPmjl+/ykct9+Ukn6eUpLJZPLEbZZ0Mk0qkRpSFFsIoTsZNvSaFAV3t/PH7/yG3eu1vvIT50/nM1d9Bf+UoaWEP37f0wVjiXiS5//9EudcMjC3c9Aii+3N7aRTGcxGUy5NfCj1lulkmlQyhdHYd31xT4QQLD1yMUuPXDzo9ytGOJRk04cBjCbBXnOrsdr6mBKMUnDGaDLqLqRB3w7i44VIMFLg3ptJZehs6xy1FOvB4qhwYDKbul23HbZcL1nQal0NRkMunXnDqu28+sRqMimFA0/Yl2PPOjjvHFZVlba2INFYHIMQZHSyf4oZ4g1EMI80qqoW+EuU++WW+TgipVSBF4EXhRC3Ao+gtWu9ARiK6UMaaAKel1JuGbEDHQBDvVs4gdFp+phPoOu9y5QZcSxmE26Xg85EYVuD3mYW/a0GB5oDNDgbBh3p2r5+m+74jg364z1JxBJEO6NIKbHarbhKUGuoV68VC8dwVDjGvbFKIprIE7dZTvvS6UyZOwWDwTAo4RaMJnjg5XV0RBJU+UwoiqQjqJDJwJNvbGPpnDq8RWqs+0NKSag9RDwaRwiBo8JRkr+nHqlEitbG1qLP9xXNKUZWDEaC+WY2RpMxL9tBySj8qYe4Bdi5ZjP/+NHtXPbQ9YN+X9DclPVIDqJN1YfvreeK/1vO9s1azfohRx/EN5Z/nXg0rltH3Be960vNVjP+if5Rj+6tfbeZm697lXhM+36q/A4uuepQJkzWj4aZzCbMVnOBI7vZYh7RmkaDwYC32ltgDuTyugYdVcukM4TaQ7naf3eVu+QiWc/tGiCtc18ZK5SMQiQYQVEUzBZzLq23WBReCEF1QzWtja28/tQa7r7moZzj/mtPvseGd7dx0S/OBrRrV2NjC5Fo91x4+tJJGO425N0/1r66ifkHzSh4L7vTjlRld+ZMH2Z0I0WoPVTgL1HulztIhBi/Kcrj9bjGOVLKV4QQXwf+BlwvpQz095rxxFDDLmN1toz+0l6ZjxV6kyhh0Op4emI0Gvs0w1AVdUi9EKvr9VtlFBvPEg1Fad3ZmqsZDrYGCTQFhrQariqaS6re8Wddewc6Pp4oZqZiMpv6NFrRQ0rJv1/9kI5I96TIaBRUeo0IoV2oWjuH9p1IKWlvaicUCOUipsHWoG5d4kijKAqtja19fh9m29Amm16/N88Uy2w145/gz4vkNL6/lV09xG2WXe9vJdI2ND/DfQ9doDs+0Brczo5OvvnZb+fELcDLz/6P22+4U3u+tXPAv7NkLFnwd0wn0zlTrVAgpEXRShzFioRT3HJ9t7gFaG+Nccv1/8trf9WTrMjpKYLMVjPVE6pHfOGlorJCy4Kp0ByJK2sri9ZfFyOTztC8vZloKEoyniQaitK8vbloa5mRothChcE0PrJcMqkMTduaCAVCRDujBFuDtO5s7fecs9qt1E6u5f7fPFnQTu7xe19g03va7zYeT+aJW4CJe9XyhatPxuXVTBgNRgPVDVU43PmmjK5KF1aHleYdzbQ1thFoCtC0tamgJdpIo2ee2Nd4mSJkRe54+1dmODzGHurSNf7zfcqUGUUMBoPmBNkRJp1KYzRpQlZv1d9T7UEiiXQUtliAofV5PencU3j03kdo290dQTOZTXzx0nOLvkZKWdgKAS2y6vK6BhWVDHeE8/bl8rrw+r25CazYM69zAH1GmTqaO/BPHHgfznA8RUtntGDcaBSYTYJUWg45eptOpYmHC8VxuCOM2+cuaa/bZCzZr9gfajq61rbHR2VNJVJK3f0oGX3xIYWFHRsDeOr82ByDq/X8xrVfZvvGRta83l0H+JXlX2TJ4QsH9PrXX3iDQGvhwvXKp17iG1deCCYtqi2M/f82EnH9CXM8Es9LCXdUOPDV+UoWsd+yMUAsWhhR3LUjTDAQx1et7wZvMpuomVSDqqhIKTGajCU7xuG22wkHwgXnsqqohAKhkqYKuzwuIp2RgkyHwbgDl5JgW7Dge0nGk0Q7o/22bouFEkSC+lmKjZuambFgcq4HbW/mHz6Lk794JKG2MBU+J/auzA23z63VVpvNmCwm2na1FWQJBFuDWGyW0hn8FTmFy4ZUg6P8fX30kFJGhRAvoKUa71GUBW6ZMr0wGA0FEVs9hBB4q72kk+mCmiuX1zUkIVDpr+TWJ2/jjh/fztb1W6mqreLz3/0i85fqR6FAm1wXEyWZdGbAk4JENFEglCPBCCazKTc5s7vsumY/g22PNBZYbBacbmeBQy9o6d3ZNMaB0Nd9XCI5YG4dfo89303VbMRZ4UQY+p4EqJniAlNRlJIK3P4YiQmMEKLofibMmYqn1kdnsyYoJYKUax6KbSK/vnQFNsfLfPnqozjo+OL9mntT4XFx83+uY9Ura+hoDTJz/nSmzp404NenU/r3dVVVUVUVs9Hc7980y0C/v1g4hs1hK1kbKHMfpnCmfiKNAzHsGQ8UE1p6RlkjicmiLQIEW4K5RVJPtSevpnUs6S0ec+NFzvOeuLwObA4riVjhPcA/QVs0sFj0F6CMRgNWm5maSfk9080Wc17WVO97aW48ntS9l73y+Ds8ds8K4pEEc/efwRcuOwW7a3DftdOt0y+Xcr/cQbMHeHGUGTxSyoH1UBxnlAVumTKDIBFP8NJTLxNo7WDW3jPZ96BFVDdUE2wNkoglEAgcbke/ro594Z9Qw5W3/3DA2wuDwGAwoKqFwmgw9WaxiP7KfDwSzwlcl9eFklHyUsa8Nd4Bu0aPNQ63Q1fgwuDMTVw2Cw2+CnYF8lPnBILjFk/hyEWTkWqXm2qPBYFIMELNpJo+Fz9613vn9j0KwsJqtxY1gwKtVVBHcwdKRsFkNeH2ufutHVVVFanKAbXosNitXHT3cm457yeEWoOkHTNQbN0u34lYmt9d8RR1k71Mmzdwv0GTyTjgiG1vFh24EIvVUlBbufe+8zBbzFTWVA5YuNqctgGnmqcSqZIJ3Ol7+ahtcNG8Kz/7ZMHiWtzePeO33B/Frn2jYVRlsVqomdT/+akoKq8//Q67t7VQN7mGA45dVPLfuNFk1E3THsj7Gk1Gzl1+Krcvvz9v/KATFjFnv+kA2GwWfD4PgUD+eV5X5x+wmdpAx5+9/xV+9c17co8/eGszH769heseumRQf2eX14WiKIS7rudZZ+mRcgb/WDCe04HH63GVKSllgVumzAAJtge58LRvsGHtxtzYGV/5LJf+/Ltj6o4phMDj9xS6G7vsI3KDlj1K34UQeP1eKiorUBQFk8k0phHFwWKxWnR7PhpNxkFNiIQQfOqAvfj3qx+yuytF3eu0cdqBs/F3iZJQe6gg2p1Opvvs5wraBNxT5aGzPX+CWFlbmSeMVUUlEUugqmpBL9mhYjQZqWqoon13e8F3ZLFZSMaS3eI3BolIgtrJtbrngFQlgZYAsVAs97mq6qv6PSen7Tuba1/+A1ve3cDvrn6DQEt+uraqSN56fvOgBO5waJjcwE9+fzU/uvAakgnt7zll5mS+/4vv4Z/oH3BkLp1K09bYVjBuNBl1691L+buyWIxcctWh3PqLV9m2SYtcLdyvjq9+Z2nJ3nO0cfvcxCPxvO/WaDIOqk95KUmnMlx1zq94/ZlVubElyxbwk/suxTKCpl29cVe5ad2ZbyJnNBkLWsgV45SvHIXXX8HTf3uFdDLDwsPm8NmLj88ToDV+H3ablWhMM8nzuF3YdQz+9HB6nIQC+R6mwiB009XvvfahgrF1r2/kzWfXcODxiwb0ftCdjeX2uXM93cvptmXKDB0hxERgApAEtkgpS28i0ovhCNyx+PWXrzhlxowbf/DbPHELcP8dDzBr3iw+eeYJY9o3z+VxYTQaiYaiSFVidVipqKwY1E3a7rQT1akr1XORNJqMe0SaYm8MRs2htaOlezFAGDTznGLfVXZlP5tmnK3JrrBb+cKyBQSjSVQpqXTaMPRIVS3mppoagHuvu8qN2WrWTE6ElirXMz0vnUrTurM1b/JeWVPZbw3dQLA77TRMayCVTCEQWoaA0UBHS0dBZDeTzhDpjOhmLHS0duTEbXbb1sZW6qbU9Xvu2FwO5h66ELNtFVBYjzzanUSOPuUoFh6wkA9WfYDNYWOf/RdgsVq6jkUO6HcWaAroCtmKyoqC9EghxIAFhx7JWJJwUKtBNVvNeKo8BYK5tt7FNTceTTiUwmgUOF0frWiV0WSkdnItoY4QSkrBaDZqGQfj4LolpeSftz2eJ24B3lrxHv+4+VG+cOnpJXtvm8OGf6KfUCCEmuk6P6o9g/peDj91fw4/df+izwshcLtduN2Dvx65q9xaH+yuLCGT2YSvzlewAKkoKu1N+sZzrY2FPeoHgsFg2CNa3o1XyosCZYQQxwK/Bub2GFaFECuAS6SUq0frWIYjcM8WQvwNGJz96NARwKdH6b3KlClg1ev6v8s1b65h/0OWDGjiXkqGa8pid9nxVHvyUiidHue4MUcZCbKOxD3pq82Joig0b2vOEyaxcIzaybWYzFov1Moi9V7FInADjcz19ffUE0sdLR1YHSMTyRUGgcVmyZvsFXOf1RuXUuaJ2yzZqPNAxduSZdN5/E/v5B+bgEWHTR3Q60eS6toqDj3ukNzjzrbO7kiTAG+1t+hvRaqy6MKGwWjAV+cj1B5CySiYrVrac7FU9f5IRBN5bZ6S8STJeFI3NV4IgdtTIuOecYDRZKTSXznWh5EjHonT0dqBklZ454X3dLdZ9+aGkh9H7z6344lsSzGzVetFbnfZdYWT0WhgwoxaGjc1Fzw3aVbdaBxqmd6UBe5HEiHETyjSxUZK+aMe250MPAgY0TRbBlgD+ICjgJeEEIdLKd8t+UEzPIH7065/ZcrsMUgpiQQjWr1sV3/RgRpJuL1uqvb34apwsnn9Vpp2NgHgcDpQFZVYODauxGA6lSYcCGv1khbTgKIXbp8bp9tJJp0ZdNrunkCwNVgQhUwlUkRDUd1eptnvryeqohJqD+Gr6zst3eV1afW+vW4Lwz1H+hJL4UC43+Pqc99SEmwLav1qpeY87avzYbFaMJlNZFKFYjaTyhAKhHBUOPLOl2J1vIPpo/vZbx5Ia2OIN57dBIDJbOC8K5cxa2FpJ7BSSpLBDgwmE5aKwuh0uCOcn0YptXPLaDQWtD4B+sw9yl6HhhOx7UlQp51SOpnWXNUH0a+3zMiSjCdp29Wdom5z6C8sOAd4P0rGk4QCIZS0dn33VnuHvCgynujt5J9tJ6Z377ro+s/zo7NvyrsuLTt9KQsPmzOk91YVVTPBG6BpXJlelAXuR5XVwJeAY7seC+BDIFcAL4SoAu5F05US2AacJKVc2/X8fOBPwO+BA0fjoId7NRyLs7ncC7fMkOlo6chLw83WaPUnOpSMwvJfXo7TqU0+VEXlrt/cw/P/fYEjjj8sN1YKpJQoGQUpZS5q2B/pVJrm7c3dYiKmfdbaKbX9mgLtqenHA0FPoPU5PoioZW8sVgs1E2u6etiGue9X/2H1K+sxmowsO20pX7nmDKz2IaSF9vHn13O4HgydbZ15ba/SSS0Vum5qHZ5qT34Nbo/3TMaThANh/JP8Wp2zENgcNhKxwrY41iITez0sVhPfuvEEmrYFCQXiNEyrpKJy6FkKAyHatIt3b7uRyE6tr2fVvH3Y56sX5wndUEdI97Wd7Z26AjcblepdAmA0GUc8klas/3ap3YPL9E3vv/2y0w7g1afeyes7LAyCk847pt99JRNJWna25GZD6VSaZDyZyywpNelUmmBrD5donydnNKgqKp3tnaSSKYwGI65K14DP8WQiWZBhk06m6WjpoLqhumD7RYfP5bdPLufJv75ELBxn3tKZHHf2IYNOlU0lUwR2B3JO0k63UzOPKwvdQSBAjNf07vLfcThIKR8QQkwAjkOLyH5fSvnfXpt9D8imy0jg01lx27WPNUKIE4FNQoj5Uso1pT7u4V4JR1tsls/SMkMmnUzr1pgG24K4PK4+b2YdLR05cQtaWuGXvvN/fOK046ip18xu+uqzOlQURaF9V3tOuBhNRqobqvs16gm1hwoiZUpGIdIRGVALpL6IhWN0tnWSyWi9C7013nGb7tYbo9mIohRO9AfruGrso81KT6x2K/6Jfm646B7WvLo+N/6fe54n0hnj8tu/NqD99EQIgdlqLtruY6hIKYl0FvZ0VhWVRCSB0+Okdkot4Y4wqUSq4P1VVaWjuYPaybUA+Op8tO5szWs/4qvzDTqFWghB/dRK6qeWPtVUSad467c/J97SnfbYvm41q/9wE/td8oPcWLEodF/R6WyqbPYaZLFa8NX7RtxMymQ2kVIKI/wfhejeSKMqCqlQCEtFBQZTab+f3i73sxZM5eLrz+XvNz9GS2M7dZP9fO2az7PwkLlF9tBNuD1cMPtSFZVIMNKngd1IkElnaNnRklvQVdIKrY2t+Cf6sdgstOxsybs2xKNxqidU63o59KZoi6Ai4wDT9p7IBdeeOchP0Y2qqLTubM1boI6GoiAYU/PIPQ3NRHl8TtFFOSw2LIQQfmA5cBdwoZQy0+t5O/BVuq9Kj0gp3+69HyllkxDieeAANKFcUoZzRVeBXYxuDW4DWm53mTKDpmjUTWpC0mQo/nPQu8EaDILJ07V+mk63M1cvmUlncim+w62HDOwO5EXllIw2maifWt/nxHg4kce+iEfjtO9uzz1Op9K0NrZSO7k2Z7oznvFUewocRM0Ws35aKVo6cTQUzZv8CIPA7a1g29OP0vT6StRMhsrZezPz1LMx2QoncZve25EnbrOs+NdrXPDTs/D6B+/qWlFZQaApUDA+XNfsYgJNldrnN1vM+Gp9hAIhOpOFpog9J7ZGk5HaKbUk40lUVc2lOWfJ9h3etLqRD97cht1lZf9j51JROXa9Jzs3bcgTt1na160mGerE6vYQ6QjzyM33s2v9Dlw+N0eceRwTZ08BwGQtfg3Jth6prKlESlkyMxuv30vrzta8SLvVbi339OzFjhdW8N5dd5KJxzFarcz7/BeYdsKJJXs/q91KPJJvmLbwkLkcdvIBuKvcgxIHRaP0Oot3I020M6qbrRRqD+FwO3QX3jrbOgckcIt9B6qqEmgOUFFZMeJmjoloQvfzRDujpOIpKnwVI1Y+UKbMHsovgHeklF8p8vzZQHZlTQK/62NfOwH/CB5bUYYjcE/RCVGXFCHEEcBzo/meZT46FIvGCSEK0nZj4ZhW35RRMFvMuj1mQTPrcHld2Jw2hBCE2kN57V0cbge+Wt+QVjZVVdVN8VQVlWQ82aehlMls0q3THG76WiRYGOFDQjQYxVI7/gWuzWGjZlIN4Y4wiqJgsVo0h9kiYiPnxBoIkUlpgqzCV8G2//6T7c/8J7ddvK2ZWEsT+37jCkSvfUV1zJa6n4sPSeA6KhwkYok8IyeTxTSs6I0QAqvDqruY09PBGSia5t570SWbqtyTJ+5+hPt/+WdCbZ24q3yEwn6EQfsOKmsruOqv/8fEWaPTAqg3ah8CQWYyxCMxrjrlEhrXb8+Nr3nhbS64+VKmLphJVX1Vv+8hhChppMNqt1I7uZZIMIKiaud4hXdwjuofdVrfW807t9yce6wkk7x3911YvZU0HHRQSd7T5XWRjCfzRK7VYcXtG5y4BW0hRc+lPVsnbzCVzg24mIhOJVNY0/rlB9n0+FQiRTioRZ/tFXYcrvxFF7vLTmd7p+5CW7Qzqhn8Taod0Wyp7OKdHulUmkBTgEwqM+zMp48F4/UaU47gDpmu6O1ZQF99ty7s8f9bpJTP9LGtA611UMkZzhVwbf+bjDglD2mX+ehitppxegpXYj1+T156cjyiRSnTyXROTOoitN6kWZfHeCRe0Ls0Forl2h0ApDMKb2zYyZNvr+fFtVsIRgtboOQYxkXZXeUumOCYzCZclcMzmSlWZ1xsAWA8YrVbqW6opnZSLZU1lTlRpqpqrta5JyazCV+tj5pJNfjqfBiQ7HiucG0vuGEdnVsLHVCnzp2g29fSW11BzaT+BZEeQmjRwOoJ1XiqPfjqfNROrh127bSvtrAdh9fvLYjO2yvsuosleu2CevLCA89wx+W3EOpy6g61ByC1Hqlqv4OO5jC3XPLgcD7CsPBMnY7JUXiNcE2YhNVbyfP3PZknbkGLRD99z6PUT6vvt759tDBbzVTWVlJdX60JqHItYR47XnihyPjzJXtPIQRV9VX4J/jx1nipbqjGP8E/pL+Np6qwrY/RZCQcCLN7624aNzbS2dZZ1OhtOBSLoEpVFhW/JouJUCBE8/ZmYqEYsXCM9l3tBVkoJrNJM5QqUgIiValrojYcei/e6ZFd7C7TD1qe8vj7V2Y4HA28K6X8QO9JIcRSYDHajFUCd/azvyXAlhE9wiIMNZxTXg8ps0dSWVOJxWrJRUZ7phZn6SlI+8LmsOVN8uNFxOr/s3fecY7V5f5/f89J75lkMm13lt0sSy8CS1OpAqKoKHBtXPsVRPReEctPr3rtiiJWbFfBevVeLsWKildEqYIUaQsbdtnd2enp/STn/P44k8xkcpLJzCaz2SXv12teu3NyyndSTr6f7/M8nyeXzuHp81Aqq9x87+NML6gDfmpshleeeBgBgxRZSZaw2q11ArvSwqUZZouZgXUDNVFod597jyfgFrvFMDIsJEG5VG4osMrlMvGZOG6fu+tSmTVNIz4dr0anZVnGH/JTLBR1ExWzjNvnrr7WpVwGTTWe7Exu3U5WuHG4HHiDXoQQ+IIe3vPVN3P15d+jNBfJsDutfODbl2Deg7pIIQR2p70u9a9YKOr9cwGb07as59tkNjGwboB8Jo+malhsFsNoiSRJhNaGiE3FKOaLSLKE2+c2XEBayO+u/5XBVg3KMyDp6f6Rh8eavpc6idnp4ujL3suvP/wZZqZymE2CjUcMcPRl70VIEtO7pgyPi01Eu0bc9lgaVTGuX1f3sIRjKYQQ2Jw2bOyZZ4HJbNKj9Il0VXgt9pdIRpPIJrktvbEX4vK56oygKkiSVJcFIoTA7XfXlLZUyCQzOL3OGpFptVsZOmCI6GTUsNXYnpbZLMZs0Z3ijUo+aq5bLO235ottoycm90dG0V2UG3HZ3L8CUIDvN9pRCPFCYC3wx7aNrgkrnV3tzXdx7xPUY8UIIXD5XE2/9FutY1ocIW22wlsqlnh8bLpG3AIUS2Xu3rKD8zYbtzXoG+xjZvdMta5JkiQCw4GWvmgrkcd24g14KeaKdSI3k8iQSWTwD/jrWpHc+fu7+PTlnyY+E8dkNvHP/3oxb/t/b+ualMlkNFmTel0ul5kZn6nZJ5uc731rcXuxuL0UU/U1qCZfiLJSrqZABwb1CO3przqR8OGj/P32x5BNMsefdSQDa+tdQfeUTDJTM1FLzCQIDAWWVX+ZSin8zy1b2TmWxuO28NKz13PwpvpIc8XwbDksrkGcZz4DwOa0tN14qVU0TeMPP/or99w7/37YPhnn8EtyOAdhcP2Q4XGNtvfoHjRNq95z+o84gt133QmAbHcweMaLsQ8M4ggGKOaLe1zLvhrIJhlvQE+bjU4ai7NsKtt2gdvM5E42y/QH+0nFUigFBUmWcHldTQ3xCrkCFpul5vtACNEwUtwJl2inRxfZs+OzDVuw9cTtUnRztLRbx7VPUAIMU7OEEMPAa5gPet6saZrhKrAQwgV8E/i8pmmtRZH2kJXOIs4DJto5kBZJAKfvhev2eA4Qn8nywJ+38czjUZTi0iJ34apzMpqsRs0WU8wXGd8+jq+osMFgspFocBzMr9QPjA4QWhtiaMPQXnUsliQJV8CD5LRQkjTURSlwsclYzQRh62Nb+dAbPlRNKyspJa774vX897f/Z1XH3YxMst5ZezFqWSUxl1YrJIlD/vlSJFPtBCxw8oux+OYFXzaZrVn0GN00zPlvP4uXveWMjohbtay7GC8mOhltOYU8k1X49NX3cOc9u9mxM8mjj8/wha/ez2NPzix9cAsceuLhxg9I85+LF7/xxL22+PHUXf/gjh/8pmZbLpnhJ+//BgCnv/YcNhx9YM3jNqed13/0bas2xk4TnUgwtnUKpUHrrGZomsbURIbdYynKHWqbtlwyyQy7n9nNrqd3Mb5tnHw2z+iZL2LdWWcjWW1suuTfCJ18Cu7wJmRvgMmdkw1FTtfSIKduqRRlZg8FEQAAIABJREFUTdPIJDPEpmLLSsOtCOuFmMwmnG4nQgg8fR4CQwH8Ib+eAdJkppmOp9n19C7GImOkYqnqmF1eV52YFUIYXrsdmMym6oLkYuwue8+FvMdzla3oacVGfBiwML+C8FmjnYQQPuDXQLrRPp1gRZ9YTdPubPdAWrxuCTAununRYw+4/0/buPbDt1HM65O64JCTN3/wePoG9JRLSZZq6k8dHkc1HbNULFXFTzOEEBwW9JIrlRlfEMlyL9ELVYilU5JXi5nZGGMT8y7EAnDLVkwLotn5bL463ttuvK2mTUyF3/7st7z60n/q+HhbosWCi4W9cgOHHMnm93+KqQfvpZjPg3cYx9qNdceoZXXVVv6VomI4odVUjVKx1NJ76K9372J6pjbKqqoat/w6wmEH77kof/2/v4XII0/z9APz5Tx9I2FSqX4cLitnXXw8//SeM/f4Oitl7HHj0qCxx7cDYLFb+eiNX+BX37yBHY9vw9vv59x/eQXDG9eu4ig7Qy6d5yvv/jn3/U631/CH3Lz3Wxdz6AnrWzo+Fs3xtavv45mIvpgVGnDyrvcez9rR5ZuotYtcOleT0VBSSkzvmmZg3QBHvf0Shs44h4K66POp6ZkP/WtWxeizLdicNsOFukpvWiM0TWN2fLYmqyIVSxFaG1rSqdjushMcDtaY9fn6fQ0zL2x2G0IShuZRFVGtllXi03GEJHB5XUiyRGg0RHI2WTXO8vg9HWnHV8Fk0Us0ohNRSkpJ71/tduLt7xlMLYmge2v9Bb3CypVzOzAkhHibpmnV+lohxGnAJcw/s7domvbQ4oOFEC9Gj9yOAidqWhNXtzbTW5Lq8ZxndjLNtR/6A8XC/Or1zHiGG771D678ytmYrWZsThvFfJFyqaynqS5IqTIScM04ZsDPU2YTT8dSyJLg+E37xuS4UCjWiFvQ72zpchGvsBpG3YoNUtMUAwfQvYXVYTWs9VrMYuMT59Aa1g+toVwqs/uZ3XX7C0m03C+3HTRL62015TcWNzZUi8cbZxksB4fbySdvuZqH/nQ/sYlZ1mxaR/i4Q7CY5K5IWXcHjV2o3QuiRjanjQuvvHi1hrRqfOdDN1fFLUBsKsVn33QdX7n9SvoGmotUTdP4xpfvr4pbgKnJDF++6h4+c/UZWJu0T+okqbhxJlwmkcESsmB2eykY9H5ud51np3G49fY8yWiyZlsz07dsKltXMlARmf0jS4t7u8ve1Ml/IZIsEVoTYnpsvt9sI8GbjqerZS4VP4TVxGK1MLhucFWvud/QBffwHu1F07SkEOLLwLVCiM3A34CNwDvRlw4EMA5cuvA4IcQrgPcBJzG/xNC51SkDegK3x3OerY9M1ojbCtuemMFit2N36pGvRqnBy60XlITg4IAHv8vO6GiIkHdlNVKFXIHEbIKyoptIefu9be8RuJBs3lj8qGhozN3phKiZ9Gw+9Th+du3P6o457tTNHRrl8vH3+ykVSzVpiYsnX0IIPAHjyaJskvEP+OvSg/sG+jrWqsMIk9mE3WmvMztzuB0t160NDRqbRA022L4SzBYzm885iYe3TXLrQ9vJ3XgvTquZs4/ZwKGj7U/dXg5HnnMCQ5vWMv7Uzprt57zror00otVBVVXu+lW9j0gmmefhPz/F6f90XNPj47E8W5+qrwOdncnxzNY4hxy2d17Xhn2d51L2G6Wd7ovpqN6gF6fHiaIo1R7szRaNGtXFNquX3RMsNgvDG4ZRVbXaUs/I0LHRa9ZjH6AncPdX/gM4CPgXoFKPU3mxZ4FXVWpvhRCnA99CF8EL3xAC+J0Q4r+B72qadk+nB73v3cV79GgzJouxCBECZNPSAsVisxj2D23UU7TCiMu+R+J2aud8LX9JKVHIFRhYN9AREw4AUxMhL9CFft9gX43IPumsk7jk39/Oj778Y7JpPUq6+bTNXPqRSzoyxpUgybojcDFX1PuGWiwISZCYSVBSdOdMd19z92eX14XFaiGXySEQ2FzLcy9uB0II+ob6SEwnqiLX7rLjaxCVNOL5J45w7/3jPLFlXqy4nGZee4GxCdpKeXp3lF/dt7X6e6agcNPdW3DazKwL7b10QKvDxr/9z6f5n4/9J9v+vgW728FpbzmPk19z1qqNoZAr6PX8Qn/9VuN9pGnNxODSgqN5qWfz40tKSU91VcqYLKa2uL1XsNqthvW0Vpvun+D0OskkMzWiTkhiWZ+ZbsJkMbUszhuVTnTS4G1hz/lGJROWJUp2enQxPYG7XzJXHnrRXLrx+cA6oAjcC3xH07SFJh1x4KolTtmelLAl6AncHs95Djl2hL4BJ9HJ2hqmE87eiKWF1DohBMHhIInphN5+SOiujC6fi8RMosahdyF7slK9MBWtgqqqpONpfP2dmZw5HXZsVgv5RenFAb+XwWAA2VybZloul4mORznjvDM447wz2PH0bn55/Z8488IX7FWjLCOEEFgdtf0Q+waX50BtsVn2eq20JEn4B/z4WVlan0mWuOKdx/Gnv+xg51gar9vCaS9cS6BPj8pnJnex4/ZfUkjMYusLse70V2APDCz7Og89M2m4/eFtk3tV4IKepvyWb1y5V66diqVqWrAkZ5MEh4Mtp4KuFFmWeN7pB/G33z9es91iM3P4yeElj/f32Vh3gJdnt9d6EXi8Vg7Y0Ph+VCqWmNwxOW+CltHrZgdGB9oitDwBD4VcoUbkOtzz/gmVdlepaEpvCSbLuPyujmbCdAsOj0NfWFhkLLVUL+t2YXfZcflcNd+PZqu5Y99fPTpMJVm1G+nV4LYFTdNuBW5dYp8HgQdXZ0TN6QncHs95HC4LH/jGeXztA79nV0RPMz3+rDBv/fdTWz5HRVgspuIiaeRua3GsXAypDRxKW21xtBIkSWLDujXsGp8knckhCUGf38NgKFiXClcxMClkC9X2HKMHDvOKt5zJJ998LYnZFBdedm7Hxtpj5ZhMEmedfkDd9szUGI98//Ooii4WMhM7SWx7kqP+5UPYfMtLQS01eP8qpe5w3gXY+dBTPHjTn1HyBTaccDhHv/LUjtYJl5SSYX/R2YlZRjaMdNzA5bIvXshn33Q9T/19B6C3a/q3r72WgdGlF3qEEFx+xWauuepedu/S0069Piv/euUJ2O2NxWJiNlHn8F2J6HqDe77QURGw+UyeklLCbDFjddT6BUiS1JZr7W0K2QKpeApVVbHYLHj6PE1LJGRZJrQ2RHw6TrFQRJZlLHYL6Xia5GwSi82Ct9/bsf7OQgj8IT8Ot6N6fbvT3r1GRT169Nin6AncHj2AkQ19fPa/X00qnsdskat1t6VSiYfve5RkLMmmwzcysm542ed2eV2UlXJN1NVsMePvX7l5htliNky963TkwWw2sX50ZMn9yqVyjbitsCY8yOhBw/zwczfyyref3dW9BdWyiqrqLsjdYIC0t9n111ur4rZCKZdh971/ZMM5r17WuUb7PTwzUS/mRlcpequpGvGZeNVkp5LKXZlcP/GH+/jJZVehzkW3HvjvP7LjwS284pOdS61f6NJdyBcwm81IsqS7YJdKHf9sewMuPnPLZWx7bDe5VIF1hwzh9rfeP7k/5OQTnzuNXTuSlMsqa0Y9S5pLNTJzaqfJ02JfgG6mpJR0I0OLaVnCMpfJMTM2nyVYyBYoZAuE1oaa3rtMZlO1l/XiHtpKUaGYLxIaDXXUS8Bqt9a03OuxryKgaxcnunVcPTpJT+D26DGHEAKPf34ilIglefdrruQf9+vOopIs8b7P/BuvftsFyz63N+jF7rJXV6ptDtserVR7g17y2XxNepnFZsHtc6/4nAspForVvr52l335k+u5dCCjyZXZYqKQK5KKZfD1dyYdTtM0lKJSretbzvg1TSM2Gau23ZBkicBgoGnLjecCxVQcVdVIpDSsFoHDrr+2xWS9UF2KEw8eYXc0zVNj8xPqw9f1c2x4ddxLZydq26Ok42nKpTLB4SCapnHTh75ZFbcV7v3xrRx70ZmsObK+HVQ7kGSJ7U9t55sf/ya7IjsxW8ycdeHZvOay13QsilY3BkkifMSalvYtForVOnWT2YQ34MViszRNSV6MyWwyXKhbTffxbkDTNOLT8Zp0XV+/D7e/tfu5UeS/mC+STWVxeloziEvM1re6U4oKuXQOh1tf6Ogt9PVoSu/90aMJQggL8BpN0364GtfrCdwePRrw+Q98qSpuQY/oXfXBazjseYdw+LGHLvt87azRlE0yA+sGyCQy1dZFLq9rWaJZKSokKn0MLWa8cylti1fyE7MJgkPLqwOUzTIms6kuEpNN5XD7nRxx0ibcfe1z5l2IpmlEJ6M1rX/cfjfeoLelCVpiJlHTU1Itq8zsnmFw3WBH3VWVUhlJEsir6Ly8HMZmLHznuhzpuafmiINkXnamBXtw+aJUliQufP7B7JhOksgU8LtsrAm6SScLlEsq3j674WulqqouiDT987SSOs2SUqprjwJ67WdJKaHkCqRnjEX7zDNjSwrcmclZnnj4SexOO0dtPqLlxZVUIsXn3v3Zamsbpajwm5/+Gqfbybs++66WztFOVFWt9nFe/FooRYWpHVPVvsulYolCtsDA6IBhn1JNUxGi/rXyBDzkMrkaPwLZJLdtoa6bKSmlqoldPpOv82qIT8d1Z/QW7rtlxbg0pVTUzQclWcJkNjW9/6kNygNS0VT1+8DmsNE32NfVmTc99iI9gdujOW7gOqAncHv02Jvc++e/1W3TNI2//eWBFQncdiPL8ooNQYoFhd07J6oTyyw5sukcoZEg0clF7T40PeIVGgkRn9HrtSRZwuP34PIZu0ALIQgMBWr6HhbyRax2C+/41GsBmBmboX+kv+2unalYqq6vbSqWwmw1LxnNUDWtRtxW0DSNXCaH29L+iXcym+f2R7YyncwggA1DAZ5/yHrMXTSJnN4d5Vtfe4TsgqfmH1vKOL1mPvqhs1d0TiFE1VAqlcjzhff/kUfvHwdgNOzn8v84hcE18+9vpaAwPTZdzVqQZIngcHDZ6Y3N6tSjE1GUosLrrvsI/7jlDnY/spVDzj0Ji93KxOPb8AwGmp779zffxkfe+UmKc0ZsBx4a5us//xKhodCS47rzt3ca9m297cY/tFXgaqrK5JP3k5x4FkmSCWw4DP/oQfOPL4omCiGwOW043A7sLn3hIRVLVcXtwuNSsVSNOVt6Ygfbbr+RXHQKs93J8OYzGTj8xOrjZouZgdEBktEk5VIZs9mMJ+DZawKqmM6QGp/CEezD7m9/urymaaSiKdKJdE32TaN7YC6Ta0ngmiwmw/Y+qViqWhpjc9gIDAWQZIlsOktydu45t5jxh/wNz7Gwz3s+m2d6bJqB0YGuiOaqqkpZKSPJUk90721EF0f4u3RY3YAQIqBp2uwqXW5VXTh7ArdHjwZYLMafxUqEIpPM8NUPf5X7/u8+TGYTZ110Fm/5wFswmbr/YxWbide5OBeLCsloytBtUFM1psamqseU1TKxqRgIvcZ4IeVSmVwyg9PvZuiAIfK5PE/cH6F/0FsTYS7mi8SmYgSGmouG5ZLPGjvQxyZjyCbZ0MF5Mprlp7dtYcdkEotJ4nmjHk7e6K/5wl48oW8HSqnMrQ88SSqnt5PSgMi4/l1z2hGdSYVdCff+/iGy6frn9R9PKphse17feO0n/8JjD0xUf98RiXH1B/+PT3//ZVgsMpqmMTM+UyMKKpH1ofVDy6oRNJv1/qBGr2dh7nXwDvfzgndcgFouI82lBx901gnYXfa6uvIKu7aP8ZHLPkFxgSB4+vEIH3vXp/nmDV9Zclz5nPH7ttH7eSVomsb2u39L9NknqtsSu59h7bEZQgcdA+jOzQujiZqmkUvnyKVzOD1O/AP+OufdCgu35xMzPPnL71XrtpVcmmfvuAXJZKb/4GOr+5ktZgKDAfKFEqqm7TWh8tgNv+Ger1yHqpRACI583cs5/vI3tnXSHp2Ikk1l67Y3Mg1sFV+/j+ld03XbF77H89k8sakYDreD2d3z89lCrsDkzkn6BvuIjkeXvM8pBQWloHTMMb6QK6AoJUwmGavd2vD5zyQzxCZj1fG6vC58IV/3iqznAl1bg9tjMUKIU4GfAoNCiF3A6zRNu7PBvt9v02Xb229wCbp/Jt6jx17ipa9+Md+/pjaTwuG0c8ZLT0VVVT548Qd58K/zbug/vPqHpOIp3vuF9672UJeNotSv1AOUm0y0jNoapWPpGoF727dv5pdf+AnFXAFXwMvrP38ZR597EgceuY7ETH2NV6XOt52IBsu1mqYxPTbN4OhgTRplJqfwjZseJpHRJ+J5ReXuSBwhBCdvnDcC60Rro4lYqipuFxIZn+UFh25o2nt4NVEbRD2bvV9aJRHN1YjbCpNjKZ55fIaDjx6gXCrXmDDNj0tPWW71tSkWimSSGSw2S1XMNkNaVPuaS+coZAuG9dh/v/uhGnFb4b477kdRSpiX6E995IlHGgrvo04+aslxtko2NlkjbivseugOguEjyaRypGL1UeQKmWQGh9uB2WI2/Owu/FzNbHmwzpQMYOrRe2oEbjqrcN0tj/PoVl10bVjj4W2vPIyAb/WMoXbe8yB3ffG78xs0jUd+cguuoRCHXfiStlxDKSqG4rYZrZaF2Bw2BkYHSMfTqKqKpmmGr08ukzNcnNBUDSWv6GUvyQxaWV9oMKrLBeqcr9uBpmnEpmKkE/NpIjaHjf7hYF3pTSFXqCmjAUgn0sgmGU9gddoc9eixj/MdYGju/2uB7wKNUhPfRHsaLa1qw6bumD316NGFXPrBt/Lqt11QjQ4NDIf40k8+h81UZuuDD3HIEesIhGqdkG/+/s2GKa7dRqMos8VqXpaQWzjRufeGP/G/n/g+xTnhkJ5N8N1Lr2L7g081XlXvwIKvw9PE+VWDTKr29fnHMzNVcbuQh3bMu177B/wdiViUmkwUywaPaapGsVCkpJQ6ElFuxNEvPBSTgfHP5jOP3ONzl5q0BmrUTmghrUZs8tk8kzsmScfSVXFrtppx97lbNvOB2pTNhTQSsLJJRmohsnHw8w7m8k+/q+bvWbdpHe+75v0tj20pipn6/tmgpy1P7ZoiPh1f8n1VLBTx9Hnq6tFNFlNNyUS5aLyAsHC7pmn8542PVsUtwDO7knz9Z4+0ZfGkVbb/6W7D7dv+eNeyz1Uul8kkMqTiqWqqOjSuk62w2EjM1+/D7mxd5FtsFvoG+wgOB5sa4jVK0VfLKmaLGV/Qh3/Aj7vPbRhNF5LAYm3/vTCTytaIW9A/s4lovcg2qqEHyKaXt4DQo82ILv3pYUQQXWxWbvhL1dHsc69EL4Lbo0cDTCYTH/j8Fbz7Y5eRTqbxB7zsfvpJYhPjyALOueBUnn/WcXz88i8ztVtv0aBpGqlkCqfHiaZpaKqGkETXpU35gz7yOydrJrMmswm3z43wQ3wqTi6T0wVsk/nuQtF3189uq3tcLZW598bbueCjbyExk6ibPLfq8LkcHG4H5VLZMGIM9ZHofNF4wlcsqwRHglislo6lTYa8TmRJUCqr7Hz0aaK7p3H0+dhwzGFk8grWBaKpkC0wMz5TTWe0OqwEh4Jtr2E2YnTTCO/7+iVc/e7vUpyr0zvkuI386xffvMfn9gcdjKzzMvZs7evldFtYf5Cevi7PpSsujrqazKaWFx5ik7G697JSUPD1+6p1pa1gaiBkTzz9BPwBH7HZWoOql1x4dssuyBddehGbTzuOLQ9vwelxsfm0zW1toWJ1GbcmcwxsQmnwOViMbJKRZKkaMay4KLt8rppUcffgOiYfqc94cw2uq/4/kS7yxLb6HuG7pzM8O55iw5rVaxtluH2ZwQaloDC1a6om5bjihryUQZ074MbhclAq6c/nnjhn2x12EqL+fmtz2gxdqwHMtlpzsIqPwszYTHUhs7KtE/ecQtZ4QSTfYLshq7fm16MO0cUmU906rr3Kt4EPLvj9G0vsfzPw8B5e82jg5Xt4jpbpCdwePZbA7rBhd9iITexGydemfbk8Ti5487l889M/AsDf7ycwECAZTZKcTaLN1ZT1DfR1VZsZq83C8OgA8TlzF4vVjC/gRZ6buPQN9lHIFZjaOdX0PL7++ZYgSsF44qTki3q/xZEgs+Oz1cmf0+PEG2z/BFYIgdPn4q4t42yfTiILwYFBF+GALqYXC4b1Q8YpbeuHvMuKoDRDKSjEZ+K6GDCZ8AQ9WG1WnDYrLzjkAD789o+z9Z75746hww5Eee/beP2Zx+B32SmXykzvnq6ZiBeyBaKT0Wofy05z+gUncfQLD+WZx3fg9Dg48Kj11ffLniBJgss/fipXf/CPzEzoERyn28K7P3EqTpcuXisT69nx2Zroa85k5d7HJ3DZzRw02ofZZDweTdMa91wtlnD5XLj97hqRa5QubLFbGn6O/QEfX//5NXzwX/6dndvGAHjxq87iA59dXsnCAQev54CD1y/rmFZx+PvpP/Aopp+unad41x5MuQVxYLLMu/pKktTU5M4fPpzQYScw9di989cPDjN68rnV35Um0ftmj7WbdS/czJZf1i/QrXvBZsP9NU0jk8iQTqTRVA2r3Yqv38fsxGxdPW18Oo7NYcNs1Q20krP1UXS336274AvRlsU0k8Wkf14mZqv3DKvDSlkpG0aSbU6b4WKj1W5l8IBBvac5+t/ZaIFnT2m0CGzUGcDmtBkuSHXTd+xzDkH3CtwuHdbeRNO0Dwkh/gwcATyoadofm+0OXKJpWn2h/zIQQgzQE7g9enQfSt54JXlwpB8Aq83KR775EQqZQk30sCJOBkYHOpLatVIsVguhocbiqJEgqGB11E52Np18BNv+vqVuv00nHwHo9VTDG4Ypl8pIktSxyKOmadxw5xYe3zGf9rgrmSerlDn5kJG6urZ1gx7OO2k9v7p7W3VbwGPjtWduast4SsUSkzsnqxPNUrFEfmeegbUDWGwWHvjNX2rELcD4Y0/zwE2/5+B1A7zo6I3ks3nDKFMunWtoetQJ/CEvx4aOaPt5R9Z5+dz1L2frY9OUyxobDg7gdNcuRMgmmf41/ahlvcbwd3/bya33PVl9fE2/i3e+6khc9vrPmBACSZYMzXwqgsLX78PmsFHIF5AkCYfbQTFfrNY1Wu1WPAFP0+f60KMP5uZ7/5uZyVnsTjtuj7HL+N5k7XEvwuEfIDnxLEKWCaw/DMx+w3pLPb1aQtM0LDYLvn5fy4ZeQgjWnfIK+jYeSTY6AzY/ZqefXK6My6JntgS8Nvr9dqZjtSmnDpuJ0cHVaxW07pTj2XzZxdz/rZ9UP2cHn382h7/mZYb7p+Ppmt6zJaVEIV8wrBMHKOQLmK1mvVew1aK3RtJ0wehwOTpyL7S77AxvGKZULCFJEkpRYWYu02gxgaFAw/e1bJKbl320CafXQTqRrtvu8riqC02VMdocNnz9vprXwO6y4w2sTsS/RwO6VeD2METTtN8Bv2thVwG0luLTnBKruNzQE7g9erSIqYGrssvn5dKPXcopLz2F0Y2jTD47Wb+TBtlUtqsE7lIs2fNV0yOTFWOZl77nNex6fBuP/d8D1V1Of+vL2Hz+KdXfhRAdiwBU2B1N14jbCg/sTnDOCw4xnMidtXmUg9f5eXYihc0qc/gBAWzW1sapqmp1Eimb63uGpuKpenGqQTKWJDgU5OH7HjE879TT20nljKPi+yMWq4lDjxmq/r5zy7OMPb2TwHCQjc87CCFENcL15I4ot973bM3xu6bT/O/tW3njucY+Gd6gV09TXnhNW21E1ua01fxud9mX1f8Z9MhmaKh/Wce0i3Qizf9+4+eMbd1JcDjEqy67iOBw7ViEEAQ3Hklw43z9dLlUrmtdA7rw2ZMUaSEE9v61pHJWVFVFSevtyHLpHP1r+pEkwSUXHs7XfvYwiZT+XrdbZS658HDstsafv2KhSCFb0M/vsrcl6nn0Gy5g00tOJ7FrAmcogGd4wHA/TdMMo7CNxC1QsyiwkvfUSpEkqZrCX2iwQAt0RWqv1WYlOBwkNhmlXFYRkkC22fnej5/gH4/NYJIFJ54wzGsvOgSLRcbtd+NwO1CKCrJJXrLPb49VoOfqs7/yZqC1Gp7mpObOtSr0BG6PHi3iDYVIRWcoFedFh5Akjj7lJE548fwKt6oZp9Y1qvPqVixWC06Ps6FpVqW9xOC6QUxmE2abhct+8BEif3uC+MQsg+E1rD18Q3V/ba7HbCaZQVM1bA4bnoBnWS1eWiGRMZ7Ilcoq2UIJt0GED2BtyM3a0PKiRrlMjuh4tFqjZrVbcXqdmC1mzFa9HU2jlirqXAqmw2UcHTHZrPhdtup5jVJmbU7bfjep0zSNH3/ye9zy9f+ubtv84pO44rsfxjy3QBQZM66v3tpgO+htRCRJqonIeoPe/eb5SyfSXHHOO9m1dWd12+033MY1v7+WgdHBpsfKJpnQ2hCJmURVMHj6PG2p/41Px+tcdwu5AplEBpfPxdpBNx9/x4ls3RFHVTU2rPHidjZeCEzH03qLssr5Z+L0j/S3ZayOYB+OYN+S+zVyEW5UJ94NqbMLHa4XIptkwzTgvYHDZcfuHEZTNVRN49NX3cv2udr8Ugluv2Mn+XyZS96qO4vLJrnX/7ZHjw6jadoP2nSeItCWc7VCT+D26NEissnMyEGHEhsfo5jPYzKb8Q0OYbXXChSbw0a6WJ9qZXW0zyxmNRBCVN2DC7kChVyhTqxpqkY6nq7W4kqSxIEnHGZ4vlQsVZO6XemnGBwJtlVkBNzz0RGP1cTBIRc2k0w8r+BYKiq9DEpKidndszWis/I8gS4+A0MBvVbUwPWzEiF/xevP4xc//U3dc3v0i1/A8ZvW6PuaTQSHg8yMz1QXSiw2C30DS0/G9zXu/sUdNeIW4G+33s0N1/yU137wTQBYDRydASzm5oslDrcDh7vz6ZZ7g5u/dUONuAVd/P3oc9dx5bX/b8njTWZT23tSQ+PI5kJPhdprAAAgAElEQVQ3arvVxBEHLl1LXlJKNeIW9HvQ7MQsQwcMrcpixeJ093/c+wg3f+9G4jNx1h+ynjdc+Sa8AV+1NrdvsK/ti3grwWK14OnzkIzOR5+FEPQN9nXVIo8QAiELIpFYVdwu5J77dnPxaw7F6TQW7D32Il30PurRfQghHMCnNE27YjWu1xO4PXosA5PZTP/oAU338Qa9KAWlZiXf7Xc3jNR1M0IIXD4XLp+LyR2ThtHIRhHKhTRK68tn8xRyhbb2mB3wOzl+0xCRXbO89OABLAvq26Ljs20T1PlsvmlLlXwmT3I2iSfgIZfOoRQUymWV6V1JhCRzxBo9BfKI4w7jSz/+HJ9739WM75zAE/Dxyne+jn+59CLsC6IuNqdew6wUFIQkMFvMXTUxbReP3PF34+1//ntV4D7vwH5uvfdZCgsMczRVI5TIcMPX/kj/iJ+TzzsScxsXNLqd3c+MLWv7aiGbZMN6/pVE3ho5AJeVMmpZbVs0T9O0am374s9YJpmpitvH/vYoV19xVXXRaWZ8mqce3sK3//Sf9A+H2vr5rBhb5TN5EHo7tOV+p3iDXix2i57eLYlqT+NuJJ9rnPKdL5R6Arfb6JlM9VgaO/CvQE/g9uixLyJJEv1r+qsRT7PF3JEeqquN2Wo2nGA2Sn1biKqqDcVgKwJ5ubzkuA1s81oxLyouy2fzZFPZ9rQnaiHjPJ/J4+v3EVobYvvj43z9ylsZ36Ybo4TWeLnym69k7aZ+XnDWSfzqoRv0FiENehSD/t5qZ9uYbsTcoNZ94UQ84LXzzlcdyY9//yRTsRwWSVD43UP89uH5COZvrvsrH//5Jdj2scyJlRJaa1wzGlpjvH218AQ8TO+qNd+UzTJOb/1nUNM0ktEk2VQWNH1Rxxv0ViOgzcyY2pVmm01liU3FUMsqkiThC/lq7hcLI6C//tEv60pPErMJfv3DX/Hm//fWtoynQmwqRmZBn9hcOke5v7ysHs4Adqe9be7wnWR0rQeTSar2yTabBC88vp/1a11o+QzZDGTLGhaTjOc58hnvevZzIRkOh48H7gXWRyKR7R28zuHA64BzADdgBVTgWeAW4L8ikchEp67fQVb1HdITuD16dAAhRFujkt2AN+ClkC3URGMsNgsu39JOsRXXZCMX205EEIQQWGWBatD7pJkZTKuUy+XWnE/F/H++/aE/VMUtwNSuBF+49Ca++Nu3YJkztGombp8rvOBVp3Prdb+oEw6nvvqsmt/XD3n5yBtPoFgq86vv/JkfLhC3NqeFgzevZcsDEdZsHMDld2G17d+T4Fe8/VX88ee/Z3Z83inX7nLw2isvbnqcWlbJprKUy2XMVjN2p72tkUebw0ZoTYhkTG9JZraa8QV9hn1eF4u4Sp/d4LCedWG1WzFbzSgFpeY4p9fZljTgfDbP7Pi8QZ2qqkQnokiyVBWFC+9hyVh9VgpAbDq6x2NZiFJQap6XCvGZeNv+9m7D67Xy1jcewX9e/wiapvGGCw5g3Rp9oWHbeIw/3/UUuTnxu2mkj/NP3FTTN7zHavOc6IP7hnadyIhwOOwHrgJePffv+ZFIZOfcY6657Z8EPh4Oh98fiUS+tZLrCCHOBfZGCoRx37UO0bsb9OjRoyVkk8zA6EDVbdVkMeHyuFqKnAgh6Bvoq2tT4fK5sNgsFPPFap2qzWlrS5RSNslN28KslEwyQ3Qy2lIEtxL5mdoZZ8eW+hZy02MJdjw5xcajhvdoTPsTB20+lPd858N8+8ovk4mnMVvNXPjeiznjtedU90kkCqTTReyWMj+++gfcfuNfySgFrPIgdrufd3/5QtYeGAL0iFw2laV/Tf9+t+i0EH+ojy///lp+ctUP2LV1J/1rQrz6Pa9ndNO6hseUlBJTO6dqsigcbkfb6zKtDiv9jubO0uVy2VDE5TN5lKKCxWpBCEH/SD+xyRj5bF7vee1tXz9to+tXtlcErtlqppDVy0/WblxLOpFiZP0akvEkO57Snb03HBpuy3gqNGzZplGNNO+PnHj8MOtGPex6NsqgX38/Zosl/hiZQlmwAPbUWJTfPhDh/BMP2ltD7bGfEw6HXwS8o4PnDwL/BwwAJ0YikccXPh6JRNLA98Lh8C/n9vtmOBx2RSKRL67gcj8FGjcx30/oCdwePboITdPQVL1HZDfWV0qyhKdvZfdFu8vOwOiA7qI81wPSarfWuaImo0n6BvoMUxgboWkahWwBVVUxW82YLXrPycWC2mQx7VFPx2K+SHSiPjpTifBkUpmq8HX73S1Ft/dlSkqJfEavRbY6rG1rg3Xyy0/hhJc+n+RMHJffU43yK0qZ667/B3fdPVdXWi4y9beHyM3qrblKapxDTzinKm4XkphJYBvdfwUuQGAoyLuveW/L+8en43UlAtlUFrvLvmwzrnw2T2ImQUkpYbaY8fX7llWaYbQYZfSYbJIJjixtSLUSGpVRLMwm8If8TO2cQi2rXHzFG7HZbdVFs0fueZi//voOznvjy9s6roat1UTztO3lohQUMqlM1SDL7mpvNH8lDA26cFrUqkHhWCpfI24rPLFzllecsHo9wXsY0CVu3O0kHA73A/+MHjntyEpSOByW0FOPjwBev1jcLiQSiUyFw+ELgUeBz4fD4d80238J9vQF05qco9Fjq9ZOpCdwe/ToMJqmoRQVtLKG2Wo2nJBUas+S0SRo+iSub7Bvv4s4WWyWasR2ZnyGsmJcfxudimJz2QzTGBdTLpeZ3jVdk7bo6/fh9rvpH+knFUuhllXMNnNNPd9KyGfzhtvVskommaFvoA+rw4okSzXXCa31MXpQf10Ut3/Ey+jB9WJsX6CQKzA9Nl0z+e8b7GtPfTMgyzL+gVpX3xv+d8u8uAWQLfRvPp/dt19HKa0vPESeegijTLJG77XnMo1Mm4r54rIEbiFXqKmzLeQKTO2cYmB0oKUafdDT84UkDNuprZYRktVuNXQ8X+iAb7aYGVw3SGK21uFX0zSOPPEoTjzrpLb3+jZbzTi9zroIsy/oa1v0Np/NMzM2UxX56Xgal8+FP+Rvy/n3hIXPZ8NFiCaGfz1WAUH31uAuc1zhcPiLwIXoGsmJns7bSZfQVwEnAwXgf5faORKJPBkOh38BvBK4HLhsBdcsAJMrOG6Y+fRmFYgC2UX7OIA+oDKBywL1KWwdpidwe/ToIGpZZWb3TNVRudKWYfHkMR1P17gMl0tlZsZmGFg30LUulyulXCozPTbdNGKDptfKyvalBW5sMlZXkxefjmOxWbA5bavagzIxm2DYW59uLEmCK75xPl98x03selqPKofWerny2ldW6287jVJUqtFWm8NWbf8Un45TUkrIJhlf0NfS86VpGrPjs3ViJDoRxeawdaw35d/+Nl63TcgmHIMbSW69D4B0wrgXruk55KjcKpIsGZq8LTcqmIql6rZpmt5CzD/QmkASkl7GsLAGFsAX8jGdyvLA1t1kCwpBj4MTDlqLo0XhvBxcPhfFfFE3uZrD7rLXGTnJJrlu8a0SOVzcB7dd+EN+ZJNMOp5GUzUkk9TWz1lsMlYnEtPxNA63Y68b29lddqwOK4VsgSG3DVkIyovGunHI34ve7m32k+c/EolcCVxZ+T0cDp8G/KmDl3zZ3L/RSCTS6g3kXnSBe+wKr3mKpmn3t7rzXIuf/0Af638Cvwce1RqsLAn9w3gYulHWxej9b7+qaVqTiV976X3j9+jRQWJTsZoJj6bpPRsrabQVjGq/NE0jm8riDbSnvmwpVFWPQpYKJcw2M06Pc1kTBlVVKRVLCElgMpvqjtU0jZJSIpfJNRe3c7Q6yW40oSzkCm2fmNmd9ppevospl8rV9iKLGVjr4/O3vJGxyCyqqjGyIYDJ0hkhuJh8Js/M7vnoTIIEnj4PqViquk0tq0yPTRNaG1ryeSuXyg3dr4uFInZTZ1xaVYPoHlAzsTro6AOrWQLzD4u21WnuT7j97rqUe0mWmkbhy+UyaklFNsvV6GGjGtFyeXlRc4fbgcliIpear8efzRW48a7HUefep+OxFDtnErz6hUdgEoL4dJxioYgsy7j73HvkEFxZgHT5XPoCm1nGarca3wcb3Bo7JbLUsko6nq7eO8tKuboY0Gq0XdM0vWVZUUGWZRxuB5Isoalaw9dQKSp7XeAKIegf7icVT2HPFTnnMJk/PDGGMvdcrAm6Oe/4A/fqGHvQvRHc7mdw7t9QOBw2RyIRpeneOpWIyPJs1OeZanVHIYQT+C3wC+BwTdOWvLHPCd9HgUeFENcA7wF+IYR4laZpxqlDbaYncHv06CBG6W5oEJuI6ZMxlz4Za6X2q5OUy2Umtk/MC8+EXgs7ODrYktDMZXI1ET2rw0pwKFg9tpgvLh21XYDdZW85ct1oQlnZrpZVXQQLsNqse1SzZraaCQwHiI5HDV8zI2G/EEmWWLupudlOu6ksqiwe78J2JwtJxVJLTmibpUV20vDmqKNC/PmOnTXbNFUlN7kN0B17L/mPy+hfo6emK3kFySTpZmZtqg/en6gI2WQ0iVrS0/grkcLFaJpGYiYxH60V4O/343A7UIrG87GVtEezWC01r9U9D22titsK8Uyex5+dZEAS1YWWEiUKYwWCw8HqfXUlVNyal/oMOFyOaklJzfZl1i63ysL+uwtJRpMtXbNyH6gsHoD+WQ+tDSHJUsP08FbKRFYDIYmq/0NwJMihm0aYimewmmUGfMtbjO3RGXqvwYqppCbJ6O2BftDCMSNz/66k/na5E8sfAj/TNO3aFVyLuajt1UKINPBj4J9Wcp7l0hO4PXp0EoHhraSQL1DYXcDT58Eb9GJ1WCkl6lfQravU3292fLZu8lRWysxOzNI/0lyQlZQSs7trBVQhWyA6FSU4FEQtq0ztmlpSrAshkE0yNpcNX8DX8tidHmedWBOSwO6yU8gVmBmbQVX1v02SJfpH+usm3uVSmfh0vBrZ8PR5Gj73DpcD6wYrs7tn66LHvlDr424nSiFHqZDH4nAhm2oXBsqlcssLC9Dc7KeCJEs4PA6yydrSm0qNdad47WsOZTaa59FH9XIek0ni0JEcG81HMLPdxOQ2hY9d9DM2HjXCu665gJHw6i4m7Is4Pc6W6qbTiXRtKrKmZ6iUy+WG06V21GOncg0W+4sKZQMhnowm90jgtorZaiY4FCQ6Ea3eX5xeJ55AZ8xJG30uW/1sZ1PZGnEL+r07Ph0nMBTAG/ASn47XPF4p8+hG7BYT60K9rIwe+wX/WPD/r4bD4clIJHLrEsdU2gqspFVQyysRQoijgU2apl2wguvUoGnat4UQlwshjtI07eE9Pd9S9ARujx4dxOFykEkat56AudV3jwNf0IdSUGrSKj19nj1Kt1sODc1mGk0uF5DP5g2jmfm0vr2QKywpbs1WM/0j/SuqKfMEPGiaVp18y2aZwGAASZaY3DFZnXyCPhncvWMSz1CAvrmoR7lcZnLHZDUSpKCQz+abtpWRZZn+Nf2k42mK+SJCEri8ro6KOyM0VWXXo3cT3fEUAJJsYs1Rz8c/vKG6z3Ijqq3+DX2hPiRJIpvM6nW9Thv+gc7WwdlsJt77ns2MjaVJZ4oMD7nweKxc93EHD//+7up+Wx8e4xMX/4Av3fpOnN7V+Qzt7ywWRxWa1Zy20kJsKfxOG4lMvbmb02IGtV7cNUqd7wR2l53h8LBewy7LbXU0Xkwjs65WTbyaGYqBXn8sJEEmkUFVVax2K76grxeV69Eagu51Ue7SYS3geuAT6OZMHuC34XD4V8CXgNsjkUjNBCocDp8LHAdcFYlEblvuxTRNW45z3ClAy7W6LXA/cBrQE7g9enQzjeotK/hCPlRVNU5VnqNULGF2mQmtDVHIFSiXypit5lVNqRRCoBmFYdrwxdDM3dLmtOH2uxvXubWAEAJfvw9v0FvTYqmQKxj3wQV+/qdHOfPYMJtGAmQSGcNJcXI22dTFWghRZz6z2kw+/XBV3AKo5RI7HrwDq9ODw6u3UqnUVC5eaKkI2YUTX7PV3HIbKCEJ/CH/qrusCiFYs2b+edc0jdv+q/77d3Z3ggf//DQvePmRS55TKSokZhIoRQWTyYQn4NnrdYfdRqPPsSzLhumtVru1Lenqzz90HbujKYoLPqMDPheDQS+JBe3FKqy2KZ8QYlWu6XA7yKVzNd8lsklu+fPXSHxXtguhL9K5vPt3a7MeHaSDQvIv912x4mPdbjcmU/fKnUgkMhsOh98DfHvB5vPmfraHw+EfAD+IRCLbwuHwqcD3gQ9FIpHPrsLwbMBQG883BDzRxvM1pHtf8R49uphsMkt8Ru8haTKb8IV8htFWSZIIDgdRigoT2ycMz1WJWgoh9lpbIKfXSSpa74TaSoqhzWHTBfKiCbDNZavWszXC7rK37W8WQiBkUfP7YioLErEZhZ/85nGufP0JDSM+qxkJWinx8W31GzWN5MSOqsAF8A/4kWSJbGpBtLXfj5AE2VS2aqjjcDs6WkO7UlRVJTGboJDRa6mdHqcecRICtaxSzBsb5BSyS3t1lJRSta8p6AtO+Wy+JbOt5xJ2l90wCuhwO3B6nbqJ2ZzINVvN9A321eynaRpKLo/ZblvWYlbA7eC1pxzJw9smyBaKBDxOnrdhEFmSKKRzNa27JFnaa2UCnUYIQWAoQC6V0021TDIOj6PlGlmnx0k6lq7JaAH2+iJdj/0Fsd+4KO8NIpHId8LhsAx8nlrjqAOAjwEfDYfDDwAbgLMjkcgDqzS0LcCnhRDHa5p2356cSAhxInAmK0urXjY9gdujxzLJZXLMTsy3sigpJWbGZgiNhrDajCfEZoseGVtcK2pz2lpOMesk3oCXcqlcU1Npd9lbcp41mU0EhgN1JlN9IX2CK5tkfP2+uvous9WM092enqlGVJyqKwY4FXH77HiWrY/q0czPfvU+Lr/4UMPj94m2Mi32hKxEuX399ZP/dvWt7RSVlkT5BWmq8Wl9ccnX70M2yRx07FqevH9HzXGSLNh0zNolz59OpBua9yxVf55JZnQnalXDYrNUx7MvUswr/PnG+5nYMcPgaJDTLjiu5t7k9rtRikrNPcIb8FbrXYfXD6MUFIQkMFvNNSL26T/cxZ8/912ys3FsPjcvvOJNHPLyM1oem9dp45TDD6jbHhwJkklkqi7KTq+z7T1ouwkhBA6PA8cKWnKazCZCa0PEpvS2apJJwtvn7ZgpVo/nIB3Uty888ZoVH7t1+3fJF+pbzHUbkUjkm+Fw+GbgZuD4RQ8L9LRkgNvC4fBXgc9HIpHFPWjbzW3ojs23CiGuAH7QqDVQI+ZaBr0JuBpIobcY6jj77zdBjx4dIh1PG27PJDINBS7otaKSaUHNosOGN+DtihonIQSBwQB9oT4URU/TXE49md1pZ3jDcMM2QW6/G7PNTCo6JwbsFjx9nrbU6DVCCEFwJMjU2DTlYgkhBM/synDDH8eq+0xMZbnpth1cdOZwTS2hJEuGYrDb8AysZfqZx+q3h9bshdF0BqWg1IjbCqlYSv9MSRKXf+kCPvH665naqaesSrLgbZ98GWs3hZY8/0oj+Ol4mtiCFNmSUqJYKDIwOtCVUfBm5DMFPnzhV3nqwWer23734zv51P+8C5tTv6cJobvYyrKMqqrYXfaarBVJlgyN2cYeeIzfvv+L1cWYfDzFHz76NWw+D+tPOa5u/+UghMDl66XUtorZqpfC9OjREbpgLrMvEw6HTwauBWLAMcARwD8DZwALv1R8wEeBi8Lh8LmRSOTZxedqF5qmZYQQHwe+DHwP+IwQ4ibgHuBJYBcQBypf0ra58a0BDgFOBM4HBuYef6+maZ0W5UBP4PbosWwaGSYtTv1ajBACt8+N27c6KWGFfIFirogQuqNwK5ElIYkV1/5KktTcoEjVW4AISaxaKqzJbGJo3SA33vkEf39omvFn6g1xtkRi9L/hKNKJNEpBQTbVRoLK5TKSJHXFQsRiBg86hmI2TWJC/34TQmLk8BNw9g0sceS+QzOhqZZVJElicF0fV9/6Th6+Yyv5bJEDj17DyMbWHJQb1U8ulVlh1GapVCyRS+e6Piq+mBu+/ocacQuw5e/bueHrf+DiD5wHQDad1fuuzt3+MokMgaHAkhHAx2/+o2GmwWM33bbHArcbyUSTPPvgFmRZ5oDNh2BdJaPAHj167LuEw+HXo5tN/QU4Z64X7oPAD8Ph8Ah6+6A3AQtTzg4Bfh0Oh4+NRCKN3f72EE3TviqEOH5uDAPApXM/rVKZPP1M07Qvt3t8jegJ3B49lonFbjF0Dm0WvV1tUrFUTUpwYjZB/5r+vdYLND4Tr6nxTUaThNaEVsV1WAjBeZsPZGYsz8S2Qt1c22LWTXIW16Jt37Kdz77zM2x5aAsOl4MLL7mQN33gzV0VnROSzOgxp1HMJCkV81hdXszW+Ql1IVcgNhWr1th6A/teSmIjASokUbNoY3dZOfElhy37/C6fi1w6V1NfKptkfMHmEfxy2Vh4L6clU7cQeWSn8fZ/6NtVVSU6Ea1rBxSdiGJz2Jpmeyi5+uh7s+37MlvvfIQfXvp58nOGbt6hAG/9wUcZPGjdXh5ZZ1AKCsloUveisJjwBrz7bIp+jz1EUBtj7Ca6b226hnA4fBS6cRTAG+fEbZVIJDIGfCEcDn8RuAA9mlrpg3sY8PoFx3eKf0bv13sF8w0wl3pmtQX7XgO8v5MDXEy3vh179OhaPH31Dqt2l32vp8ppmkYymmRyx2RdvataVomOR/fKuAr5Qp2BlaZq+oS5w2iaRmwqxtSzE7zkef287w0HEl5TG1075YSRuuPis3H+7RX/yhN/fwJVVUkn01z/hev54Rdb6b/eeZSiwhc+fA0v3HAmJ6w5hSve8jGyRalG3CoFheld0ygFBU3TKBVLdbWs+wImi8mwFrxvoK8tUXVJkgitCeHr9+H0OvEGvAysG1hyot4w8rvKLr57Qj6bZ3psmvMvOYXXXHE2Dnet4ZunT7+nlYolw8wVTdOqNe6NGDnucMPta45d/mJEN5NLpPnRO66qiluAxPgsP7z086gNFkP2ZYqFIpM7JsmmshRyBTKJTE27tR7PQYTozp/u50rAAtwdiUSMVxuBSCSiRSKRG4DNwNMLHjqrw+ND03kf8Hzg/6gVt9qinwoC+BPwQk3TrtQ0bVVXf3sCt0ePZSJJEv1r+gkOB/H1+wiOBAkMBfZqCqum6YIxMZNo2O9QKSpLplF3AiVvPAFWikrTFkLtIBlN1tRMO+0mXnfuGoI+CyaTxLlnHMB5Z22oO+6vv/4L0al6AX7zdTd3dLytctWHv8RPv/NzMuksJaXE3bffyzsu+lcK+fnMgnQibfj8puL1btndjqfPQ3AkiMvvwu13MzA60NZIdLlUplgoUiqWUBRlyb7NMCewF9WQO71OwzrUbiSXzjG9a5p8Jk/foIdTzn8eV3ztdVjtukA3mWVe9rbTgPlWMpl4iqnt40ztnKhmsTSL3hZyBQ540cmc/L634RycTxlff9pmjnnTKzv0l+0dxh59hlyi3p9h5pndxHfP7IURdZbkbLLu/lIulRt6VPR4DiC69Kf7OW3u30db2TkSiYwDH1qwKdho33ajado9mqa9CNgIvAf4GfAAsBWIzP3/5+iR3k2app2padpdqzW+hfRSlHv0WAGVutZuQSkoZFPN6/aFEHtFhDecAK/CUBY6vlYwyRIfuOQo/P0+pAYmV9m08XO51HO8GhQLRW760S/qtj+zZRv33/l3nn/mSUDjVNnVSqEtKSViUzGK+SKSJOHy6z02l3oPappGMV9EUzXMNnO1DYrdaTdsxbXH4yyWmNwxOb/4k4N8Js/A6EBTR16LzcLgukGS0SRKUcFsNuP2u7uyVtuIxGyibtvwhn5OOf8Ydjw1yZs/+ko2Hqm7UJeVEv/7qeu499a7yGp6SyZJlnjZJRfwpo/9C8VCsZoZYHfaMVvNNSZcA5uP5OzjjiC7czdOr4uRYw9FdFGqfzswNYncN3tsX6WsGEdql4ro99iP2UfufV1IxTRjOWltdyz4f7zhXh1C07RngK+s9nWXQ0/g9uixCmiaRnI2SS6dA8Dutusuwm36Qigpxn1AF1LpG7ra2Jy2mnY9FUwmE5qq1fSubTeNItaSoKG4BTj8eOO0ysOPP6It49oTCvlCw/rPTGo+PbJRrfBq1D2rqsr0runq+1Itq8Sn4qA177tZablVea9Uen92cjEpGU3WvU/UskoqmsI/4G96bCU1E6CYK5JNZwkOB1etn3W5XCaXzqGpGla7dVmvbaNU0jd++OV1KeE//eh3+Nvv7q6KW9Cfo1uu/R8OPf5wRg4crW5PzCTwhXz6670QIXCtX8vwhuF9ZhFgOaw5aiOh8BqmIrtqth/4wqPwDPQ1OGp1yGfy+kKTLGF321vundsMk8VEsVCfLVTMFymXyr1a3Oca3Rwt7dZxzZMDzOhpyq2y8Ab7SHuHs3+wfy2hdinhcPjQcDh8Ugv7iXA4/KpwONx8VtVjnyM6Ea1GepSiQnI2WdNiZE9p1rNVSHp7j1Z62nYCSZLoG6qf4JWUEtHJztbhNppILxXFPPS4w3j7Ry+p2TayfoT3f2X5HgmqqpKMJpmdmCU+E29pMaIZLo+L9QfWm9bIJplDjz4E0MXLQrFbQUgCb6Dz74NcOmf4dy6uxV5MdCJasxBS6YG7p89ZMxoJvVKp+TXLpXLd+1dT9fF2OvUe9KyNie0TxCZjxKfjTO6YNHR2bkSjWuHF9xJN07j3pjsoavXPk81hIzQ6WLe9TtzOoZbV/bZG02Qx85brP8Laow6sbjvotGN43dfeuxdHBbHpGNNj0yRmE8SmYkxsn2hLlNUb8Nal6JfSSXJT48zsmtrj8/fosT8QDoffGw6HZ8Lh8NZwOHx6g90enPt3/TJOPbrg/zetbHT7N70IbhPC4fB6dFvs84A+wIq+FrQb+DXwk0gksq2FU+z3IdwAACAASURBVH0dODUcDt+Knpt+N7ATvRjbB2wCTgVei76S84f2/iUQDodl4GLgDeiua2UgC9wKXB2JRLa3+5o9dErFkmFqayaRaZvrpMVqwel1VqNJFfoG+nB6937LklLRWCzk0jk0TetYREeSpRVPqC/+t4vZfPpmnnzwSVxuJyedffKy6z5VVWV653RNpCOTyDCwdqDpokQzhBB89tuf5B0XvZvYrC4kJFniw1/4AGsO0A2z8tm8sSmQqnW093CFRgsIZbVJyx9VNXQnr6QsL04X1jSNpx95mtmJGdZtWsfw+nqzsFZolIbcLD0Z9FTxxa7CMC/iljp+MRWTuGwqC5qe+eANehtG4mcnZuue58RMApvT1pJbuq/fx9TOqRoxbnPYDN/jjTIhQqNDmJfpzN4OF/KSUqo697YjGllBVVVy6RxqWcVsNS87Et83OsDlt1xFNp5CkiTs3r1rPJjP5knHamti1bJKbDK2x/1wTRYTvqCP2FQMVSky8Yefk4noPblluxPTW95F4OC9n/HSYxXp/kjpqhIOhw8DvoD+zASAn4TD4ZFIJLL4m+N6dA1wZjgcdkYikfrV6XounPv3pkgk0lLt7nONnsA1IBwO29GbKL8b+Ca6bfdTc49ZgVcAnwA+Gg6HPwV8OhKJNJtFS3M/L5n7acQDwLmRSKStLjDhcHgNcAOwFrgc+GUkEinN9db6DPBkOBx+VyQS+W47r9tDp1E6KdDWVC5/yI/FaiGfzSOEwOlxYnPqEzS1rJJNZ2smbu0Wlc2EatOIVitm8yvEbDGjFOqjFa2Ky4OOOoiDjjpoxdfPJDJ1aXxqWSU+Eyc4XO8LoWkahWyBklLCZDZhdVgNn9ODjtjEDX/9L/56210U8gWOOfFowgfXm2XtLRr1kG0mvJbzfiwWinzqbR/nzt/89f+zd95xktRl/n9X6JzD5M1Fziw5qCQFRTCdOfvD81RUPDzRU0HPUw8VczhRwYDxDAgIKkZAAZEchIWCzbMz09M5h6rfHzXdMz1d3dMz07Pbu1vv12tfO11dVV1dXV39/Xyf5/k8jWUvf9erOOLUY3G6HBx5wuE4ukzX9Uf8FHKFpokQSZbwh/0dt+sk1LqdRJj7nUlOJsnOMSnKJrNUK1Wio9GWc6Pruul1DUaKaDcC1+60M7R2iGwqi1bTsDvspmUMgiBw5FnHcedNt1OeZ4KZz7Q3FBJEoWWSxRPwdDSlWghd11vOU3Ag2DHtvVtq1RqT2yebJuO8AS/BweCirk1BEPCEOl87u4t2hoPtlmuaRjFXRNd17E57U5Rf13WyqSzFbBEEcHvdjc9y6rYbGuIWoFbI8ci3vsBJH/o0zlCkh+/Ioq/ZDZOnexmH0zy6GcEwhJqat973gFcC5wGfAC7ptFNFUVYDHwC2ABf16mD3NSyBO48ZcXsTcDKG2JxbyM1MM+WfKopyM3Aj8DFgEEM4LpUKRo+oD8/vf7VcFEUZAf4CrAJOUVX1vvpzM7213qgoihe4WlEUr6qqn+/l61u0F1OCICw6ytMJQRDwBr0t7YqqlSqT2yebTEE8fg+hoVBPRG4hWyAxmWiI9eBAsCUKVBfU84Wu0+1siIFqpUp62kjjlmQJf8S/7L69gWiAYr7YFOmS7TK+4PIHxN3QLhXQLKKt6zqxnbGmNj4uj4vIqLlDdzga4sJXnW+6f4fLYX6+Pb2f2DDD6XbiDXmbokeiJBLuUItYN26r16nP3W6+M/H3Pv2dJnFb1eHaL/0UvvR/AKw7cA2f/7//YdQkfXY+kiwxtGaITCLTmFjwhX0LRgbtTjt2p71FLLh97o7b6rrOr6/5FT/53A9JxhJsOOIA3vnZ9+DytGZaFHNFKuWK6ffA7POFxUVIbXYboYGFK2Le9OmLSYxP8+g/HqU4J1X5kBMOx+F2UMqbRN7niVtf0EdgYHnp8ZlEpkncAiSnktjstsZk3lKp94ueSzaVxelx9pWh4GJoN5lgtrxaqTbVzQMEB4ONe+X8iYVirog36EUURbJPPtyyv1qpyPRjDzJ22lnLfRsWewv7rr6dn+4wCGzuYrtHaZ7CHwdaLNVVVdUURXkZ8CvgPYqiOIHLVFVtcQJUFOVY4Bczr/8KVVX3TP/HvQBL4LZyLXAW8KH54nYuqqpmFUV5BbAJeKeiKDepqvqbDvv9BkZa8jkYMzg6sAO4A/i+qqpbe/UG6sykJf8E2ICRTn1fm1X/E3gp8FlFUR5WVfX3vT6W/RlJkggNhlpqbkNDoWVFM7olOZVscbzMpXM4PebpiIuhVCgRm9MCo1atMT0+jSiKTQNOSZaIjkaJjccaA1+70054ONzYbnLbZFMUrZgrMrhmcFkiV7bJhnhJZqhVatjshtPt7jjvQNvovNnyTDzT0qO2kCuQSWQWjCbOR7bJHc/37iA0EMLpdjZclN0+94LZCuGhMNP6bK9eySYRHYm2CMZ//Omext+aDkVE5o6uNj+5lSv+9RN88zdf7upY6xMzi0EQBKJjURITCeN4BfD4PAvu53fX3czXL5s9rqce3MSHX/Z+PvSd/yI83Brt0qqaURwz77W9IW9LTbNsk5ct9MzwRQJ8+MbPsPkhle2btoAksebQdaw9bD26rpOaSpHP5hEQ0NFNU9Qlm7TsyZX5kx9zly/3fbeLapaKpb4RuOVimUwiQ61aw+aw4Y/4O06muL1u0tPpljINs4h3fFe8pdY9OZnE4XIYItakBVI2mSU6GqVde0t9D7Sls9hD7KEuDV2xyONSFOWzzKYAA4zOW+UviqJMzHn8M1VV3zd/P6qqPqooyn8AHwRSwEUm6cn1dfOKojwPeDNwGbBNUZRfAfcBOWAMOAU4Bvga8KmZgJtFGyyBOwdFUY7HSBMA+OFC66uqOqUoyrUYvaDejVHP2o5dqqp+AiP9YHfxNuBZM39f124lVVWfUBTlHozm0VcrinKo9cXpLd6gF9kuz7bS8LpwuHZPv8y2aWql8rIF7vya3zr1yMdcnB4noxtGqZQqCKKAzW5r/CBmk9mWQVjdedoslXcxyDa5qyjVSuANeMmlci3vzR9pFaxm9adguPMuhbnnWxRFZLu85AFI3RitHuH0R/xtTYrmstjWPqIkMjA2QK1aQ9d1JNlcFMny7E9XrY1950N/f5RCrrAirYXqSJLU9fWp6zrJqSSrDlzLlTd8gU0PPM4PP/09Ctk8uXSOv996J+e9/oUt27VL9w5EAggIRr9jTcfushMeCvekxtUMUZLYcOxBbDj2oKblgiAQGgo1HKd3Pr3TdPuVNJfSzYqhF4koitRoPcaVOp+LpVQoMbl9slH3XXfw9of9+MLm7alESWRw9SCJCaNdlyAJ+IK+liwfXdc73n86lXRINonokRuZuv/upuWCLBM+2NyN3sKin5kRqy2CdYn7ugq4qst1deAa4JqZ+t1jMdKaIxgBsluAexYoibSYwRK4zVww52/zX+lW6nf143p8LMtiplb48pmHGrBQo+U7MATueuCtGMZYFj3E6XbutvYhc1nJgVs785m27XlE0VTYt3OsXUn33OWi6zrZZJZSoYQgCngD3pb3JskSgWjAcNudGZjOr22r065uczmmUO3O92KolCtMbJ1oRILLxTKFXIHhNcNLNspaiIUivWf/yzn8897HABDaiBtBEHpS316vd9V1HZvDtqTvja7rTG6bpFws4w8babonnHMyyhEH8rHX/ielQsk03Tg4GGz7HgRBIBANNLmj67pOtVxFkISemi8BVGs18qUyTrsNu9z+c5ftsqmYbSfUF4PL6zKdsHN7lzdRB+ANeUlMNGfZ1DMP+oHUdKrF1EzXdVLTKcqlMpER81IG2SYzsGpgwf2b1UzXl3cqpZFlmUNe+RbK6SQp9QkARLudw17/DtyDC5cIWOxD9GkAd29EVdVHMVKcLZaIJXCbmXs3HgO6cUiu92XYPUV93fNyZptHP6Wq6kL9I+6d8/fFWAJ3n8EX8rW0MxElEY9/+e7KDpfDNG1wsaLKZjMf/HYTJdwT1NvXzH3v+bTRA3VuOmO1UjVS0+eMG8vFMonJBJGR5nRUb8Brei73tAt2JpFpGfjqmk46ke5YU7uSvPitLyUxleDHX/oheqWGKBipynM55yVnLLuGe35fXlESiY5EW2qCF6KYL5oKs/BwhNMueA5//OnvOPLUoxlaO0QhY1wDTo9zUd+jYq7Y5Kzcyzp7deckDz+9neKMcD10zQhHrR8z3XdoIMTktsmmSa527syLxRfyUa1UmzJHggPBnqRle/wedF0nE89Qq9WwO+yNMpJMIkO1amQvePyenkwO6rqOpmmIotjVZzS/zGQuhWyBUr605PMgCMYEXSbRnPIuSkapiSQZpmvz21AFB4KIkojo8bLx3R8mu3MblUIe99AYds+edZC22ANYAteij7AEbjPjc/5+A4aB1ELUe1M81vvDWRavmvP3pi7Wn7vOwYqiHKOq6gM9PiaLPYAn4EFn3sBtMNST6JY36KVUKDUJM6fbiX+RLqLekJd8Jt9kyiRK4m7r3avrOrl0jlwqh67rOFyOji1aSvmSqRhNTCaaBG4pXzKNiuSzecJ6uGlg6/Q4iYxEjJrpOYZdeyLqP5d2A+s92c9UEATe8qGLePUlryUdT5GIp7niXz/J5icNK4MzL3g2H/z88vqP1icx5l6TWk0jtjPG8PrhRUVIO2UiDIwN8MKLXszJzz8VQRCWJMor5QqxnbGmKHAunUOUxEXXFs9n53gMMV3guMEBNF1naybLY1vHcTvsHDjW2mrG5rAxtHbISM2fud94Ap6eCG1BEAgPhfGH/T1vEyQIRvruXAM6raYxuXWy6RrIpXIMrh5suTcUcwXsM/WqndB1nUwiQ3o6ja7rDfO1hep8Zbvc8TqqVCo4Wfq9IhANNJyS0Y3PMTIcaZxff8TfVGbj9rmbjlkQReyRYTLj0+R2pYAUbr+b8GB4t7Qms+gD+rUG12K/xBK4zcy1AvxPRVE2q6r63QW2OXfm/68vtHNFUewYwvklGC17VgNl4Engd8A3VFWdaL+H7lAUxYZhlFVnSxebbZ73+PmAJXB7hK7rjZYxkiThCXh66qC8EN6AF+8K9GQUBIHISKTR2kaySUtqQSSKIoNrBo1ISbmKJEtG3fJuOkeZRIZUbNawsFKqUClVGFg1YPpe2g0067Wj9W3a1ga2Wez2uXH73F33Bt62aZJN923D5XFwzBkH4Pb1XgzLdtnomD1/+W68fttRr/EdWj3Mj++6lumJOA6XA18PrnVN00yjrpqmUS6Ucbgd5NP5htBy+9xtP7NO5+qk807l4OMOWdax1lu7zCefyS9L4BbzRaqZPPKMaBMFgXV+H+VajS2TcVOBC8b77eXklK7rbL5/E/GdMYaVMcYOXbdbrr9UPNXihF4pVcjEM43399hdD/PVd1/Frs07cbqdvOQ9r+Jll7y67bWQS+ea7jX1SZOhNUPYO7S2CkQDRiq7yYQZNNelLwVBEAgNhggOBA3hPU+o11vPtcv8qVaqTO2Yajq+fDqPKIqEBveMB4LFbsbStxZ9xJ4fofQXNwDbMVrq2IHvKIpyEUaj5ptVVW0a1SqKcgxwIYZT8TUL7Psw4Hbg+xjW3rmZfZwMfA4jWnyZoijvVVX16mW+j6OAudPB83tumRHHqNWt/6qdvMxjsJhB13ViO2IU87MOudlUlsHVg32bgrsYBEHoSYqgKIoEIq2DYl3XefSeHUxuTzMw6ufwE8cQexgRqJtZzadUKFEqlEwjqJKtvTtyU1S2TXskl9c1K4I1nUq5YrSNmjGC6kbc/uZ7f+faj97SGFAOjAX4yA/ewPC63vad9If9FLLz+sTaJFOjrD2JIAhETVyIl7y/DqM1TW+N7OXTeaJjrT1rwbgOzFoKSbLEgfNMm5ZCuz7THftPd0E+kzc9D4NuF7sqy+top9U0EpMJCjkjE8LtdRMcDLYIq2q5wrfe/hkeuOXOxrKzLrqQl3/sohV3bW3Xa7i+fPzpHfz3qz5EaebeXswX+dGnvoPb5+YFF73YdNt2xny5dK6jwLU77AytGSIxkWgxhHK6nT1zz+72/jOfYq5oKr5z6ZwlcPcHBPq3D26fHpbFytIf9oB9wkwP2n8D5grZ0zF6U21XFOWziqIcAaAoylHAzzHa/7ymnfX3HF4OXK6q6lfq4nbmNe/CiLY+ALiBbyiK8t5lvpX5I6aE6VpzmHFlmzvKX/6oywIwBr5zxS0Yg7vkZHIPHdHeQ62q8aX338r/vP3XXPOJ27nynb/mqnfdRLmN4+dS0DW9rRBol4bbzjBsfrRMtslGH9s5P/wOl6PhOFsqlhjfPM7E1gl2bdnFxNaJroy1tm2abBK3AFM7Unz1fdcvuO1ikWSJobVD+MN+3D43/rCfoTVDPTcx6jfM+u/Wl5dypZbIXjFfJJtsbaUChmgYXD2IN+BFkiUkWcLtczO8btg0pTWfzfOtz13Lh95+BV/8r68wOT7Z8VjbpbEvV/S0+14ICIyaTEYtZr+x8Rj5TN74/mlGiUB8vLWl4y1f+r8mcQvwx2/dwN9/+Zclv363tLvGRdn4zO745Z8a4nYut37/lrb7XM5khM1uY3D1IANjA4YTv9uBP+InOmo+sbI7aXv8yze4trCwsFg0VgR3Hqqq/nqmv+3/0tzceQi4FLhUUZQHAAV4paqq7X/JmrlVVdXftnnNoqIoH2C2zdCnFUX5s6qq9y/tXTAy73G3amDuevP7fpnyyCOPoChKl7tvRVXVJW+7tzB/ILzQcotZfvujh7nnj3O93nQevGsnn7vwI5z3uqMYPft52B12/GH/knvbCqLhtmvq/Nomwi4IAtHRKOlEmlKhhCiKeANeU0Hh8rgYXT9qRGnntEfSahqxHbGmnqGVUqWRrthpwPrEvdtMoyWb7tveqN/tJZIk7bZ66H4iMhxheny6ETGr9+Wd39O6TrnUvqVTo50OnaNZhVyBt7zwbex87BkEQSCrVbjhR7/me7/5NmNrzW/LdqdhiDTXBdjhciy7PZbT7SSfzqNjBEEaqfM2iUNXz/+Z6Z5quUop3/qzVMgVGq2o6jxxx4Om+3j8tgc46aVnLPkYusEX8pHP5ptEWr1WF9q39jITvXWcbqdpZHgxtfZOT+8itr1ipSZZ9leWM67y+XzLTllfElak1KKPsCK4Jqiq+kuMCOZNbVY5BsM1+eeKonxJUZSFrERLwJ8XWOdWIDbztwx8uLujNWV+kUy3jTTnrrdnrVv3IdqJjV6LkH2RJx7YNW+J8Qs6lffzzPW/YPuf/0wmkWFi20STUFwMdeExH2/Q2zFlUBAFApEAg6sGiY5GOw7kRMlo12N32BvCtVwsmx5zpVQhnzEpep2D021+XHanvGShb9GKJEsMrBpgZP0Iw+uGGVk3gt1pb3uOe3Huv3fVdwg8leB4Z5TjHBFOdg5Qmc7w5U+Y2zxUK1ViO2Nk4hlsDlsjwj6wamDZx+P2ufGFfI1xqyAIyE47hx+8dlllAu3aiJk9J7cx3bJ1+G52g67rpONpYjtiTZMYc7E77QyuGsThciDJEg63wygtmWl5dNgpR5ru+/BTj2r7uv6Iv0UM+kK+BU2m+h2bw0Z4ONyyzEpP3o8Q+vSfxX6JFcE1QVGUQzEiuAGMFOUh4PXACzBqc+u4gHcBL1MU5fwOrsPvx2jS3BZVVTVFUe7BMHcCeKGiKC5VVVutWhdm/vRwt0pq7npdhRePOOIIrrvuui53v3/i8XvIJDMtbrT9VsO4HHRdp1IsY3Pae5oq53SbR1Bl0TiXsX/czcCJp1AtV8mmsvjDiz+nWk0jn54VlJJs1Jf2oo3SUolPxNv2ywXYeOaBRMcCxHakmpY/9zXH7/FUxaWgaVoj8ryYFiy6rlMulNE0DbvT3rNJo3r9tSiKuLyuFkMjX8jXcJOtU2+1shw0TePJn96GR5x9PYcgcaQjxNZNm2fXq2mUyzXsdonJ7ZNN95ZKqYLNYes4OdMtgiAQHAjiCXga5m82h23Z11g9i2F+Wqsoii3n+pRXnMXjtzf/tAqiwInLiN7quk5sZ6zpM8xnWtt8gREJH1xtbqa18ewTeeklr+YXX/hRY9mBGw/mnDe9iOu/+VvjOM8+hpF1s9uLokh0LEq5UKZWMwzKltvOql/w+D04XA4qpQqiJGLv8e/B/sRystte97rX8fjjj/fwaBZGgL79rPvzqCxWGkvgzkNRlLMwam63AqeqqlofQf5CUZQI8ErgjcCJczYbBX6jKMrhqqpOz9+nqqrmOVatPD3nbzuwEfjrIt8CwPzizm5/PecWnFkFoj1ClESGVg+RnEoaP/yyiD/k32dStx646a/84opvkplM4I0GePHlb+G4l5zRk32f+ZJD+NstT9I8DtZZ7zXmi/Tq7DxMtbxw7ep8dF1netd000C3Vq2RT+dXXODWI4GmkWfd6G1pC5sLXLffyYe//3q+eun1PPXAduxOG8997fG85rJzVvSYV4JMIkMylqSmaZS0Gg63k4HBMB5X5+9HrVpjasfUbLqnAOGh8LI/t9R0qsl0LDWdYnDVbNQOjHTM6GiU1HSKaqWKKIkICMR2xnC6nAQG2reY6vja49NoaZO+0oLEoM9Prarxk6/ew+9/9hiVco3R9QFe9v8OY2Rt88ROejrdk76zdWx2W08N8URJJDwcZnrXdCP9VxAEwiPhlvN20svOJD2V5IZPX0elWMYd9PKaT72DA048bMmvX8wXWyYoABJTiUVHUl/7n2/mlAuexZZHnyYwECSdqXHJ+R9v3I/szh/x0e9ewglnH93YRhCERfdS3luQbXJfOKxb7Gb6OVrar8dlsaJYd6E5KIoygmEc5QUumiNuAZgRr18DvqYoyjnAl4BDZ54eAt4DXL6MQ8jMezy0xP1snve42xHf3BHRM23Xslg0kiwRGemtu20/8NSdD/O9d3ymEYnJxlJc9+7P4wn5OeSMjUvaZ7VSJTmZpFKuEIpK/MeXnsc3PvInUskKTqnIUcEnGHIaZjQ+ZdYLbSmDqlq1ZjrQLRUME6GVjKyIksjA2AATW807gy1kOjO6IconfnkR1UoNSRb7dva8E/lMnuRUkrJWI1kpogOZdJlYOs2a0SEGI+3TG+MT8eZaRh3iuzpHvheiVCi1OGprNY34RJyhNc23Y5fXhcvrIhVLkY7PbpMtZ6mU27eY6kSnfqEXvOp8fn71vdzyw9ludjufSXHNlf/gPZ86DW9gVjDVanuuR3G3uH1ubA5bw4DP5WmNlO+MZ7jz8W2kD1zH2T/4bzaOhli1agBxmQZn7SbDapVa1y265rLhyAPYcOQBZFM5Xn3ku5r2Xy6W+eTbvsqPH/4KDte+Eam1sDBl7/sJstiHsYq1mnkHEAS2q6p6Z6cVVVX9PUYrnbnrPddsXUVRfIqiXDgjijsxP5Sz1BDf/IjxwEIbKIriobm1kNUD12JB7vrx702F2F0/vnVJ+6tVa0xsnWiYzZSLZUJRmc/86lW8751Ozh/7C6s9Rl2u/6BDGHuekdEv22S8wcWnh3aqBWzXb7KX2J32tpG2bk1nZJvUMiDXdZ1sKsvk9kkmt02SjqeX3TJmJchn8kYtZKXUYra6decExTamTbqutziT1zEzL+qWdiZR5WLZ9Pzpuk4iluTH1/yMt/7Lxbzpwrdx1Ue/RGximnKhW+uDWQLDEdYdd3DLcu9gkGe97Gz+/KsnWp7LZSr88/7mTnBzo839jM1uwxf04Qv6WsTtrkSGn9zxCJsnk8QzBdSJBDc+spVsm9Y9i6HdZJgoLW+iaMsTOyiaXH/ZZI6dz8z3E9g30Woa+UyeXDq3pKwaCwsLi15gRXCbOWPm/4c7rVRHVdW0oijvBu6ZWRSdv46iKAcAfwDWzDz+sqqq726zy/mR1pjpWgsf17iiKCqG0zN0Fwkenvf4tqW8tsX+RbmNyCgvUWTk0jnTlN3ERIJV553P2BlnUBzfjt3rRx4YQdN0ZLuMP7I0F2WbzWaaJlx3O94dhAZD1Kq1JpOb4EAQh2vpKYzp6XRTVLFUKFEtV1tMYBZL/Tz10shKB2pteonki0WcbaLoAgK62XbLiCK0SysWRXPho9U0vvvV67j+R7N+hH/53R2M75jgm9d/ddFpqIIg8Iavv5/vvO1Ktt6/CYCB9aO8+eoPYHc6KBXNBUO5NBuxFSVxnzD2+fumHWjzJpmKlSr3P72L5xyxbln7dnqMNl8t7ds0jWwyu6TJMgBvwN3y+NWXXMBBR6/HZhPJJDJ4g969MtuiG8qlMlPbp5rup5HhCG5/79LlLfqYffS6ttg7sQRuM3Uh2NqMrz33AjkMcWpWt/ppZsTtDG8E2gnc+T0guhLabbgeo60RwIFdrD93nTJw8zJe22I/QTnpcB7+zV0tyzcssT6uXWqlVtMoZAuAiEc5lNBQqCeDREEUiIxEiO2INSJ0giAQGY7sNjdiURIZWDXQcFW2OWzLqmHTalqTuK2TS+fwhX1LEu7VSpX4rnhDhDtcDiIjkWWbOjndzo6O0XKbVFRBEHD73eRSuabloiji8izdjbZuKDW/F7Ev5DNdv1qtcuNPWzvFbXr0SR69/zFOOeukRR9DcDjCe66/kuktu9A0jcia4cZ5PuTYYR66c3vT+oIAR5+6Fm/IiyRKeAKefcKhPVs0j4Dn2ixfDPU2X/HJeJPBHDokJhOIsojbu3hRtuagMTY+5wju+8sjyDaJS794EWsPMn7WdV0nOZVE1/R9ymCwjq7rTI9Pt0wWTk9MY3fZ2apu48Yf30wuk+PI44/g/Feet6Q6dYs+xtK3Fn2EJXCbqbt7dF0oo6qqrihKGkPgPmSyymnzHu/osLtD5vx9v6qq490ehwnXMCtwD1EURVBVtVOO4qFz/v6ZqqqtI2SLvqNWq7Hp/ifIZ/JsOEJZdt/LxXL6m87nmXsf58GbZr3QSFb1+gAAIABJREFUjnjuiZz5thcvaX92+8JfvVw6h9Pr5De/vJWnn3iGgeEoF776hYQiwSW9ptPtZHjdcCOa43Q7d7tJiiAIy4rYzsWsn+/c5xYrcOuOs3PrXUuFErGdMQZXDy5rosET8FApV8jEyhRqzaLS7XTgdbcXGcGBILqmNwRyvc59OeJOFI3JhsREglJxpr9x0NtW4Oay+baTMtlsznR5NwiCQHRda5/Z//fBZ3Hlu29h52ZjLlUQBV57yUkcetzqJb9Wr5g7QdQLon4344lsy/JIj6KBgtjq4lwnFUstSeAKgsDl33kPX7nsu2SS2Ya4nUs6kcYX9u0TUdxivmj4JVQqSJJ5L3F0uOe2e7n0DR+kVDQmyH7+nV/xjzvu46Nf+dA+cR4sAAGEfp2vsC6x/RJL4DZzP3AUsL7bDRRFcTJb4/oLk1XmGze9sc1+wsDhcxZ9pcNrfg54C7AFeL2qqi3CWlXVxxRFuRG4AAhhiOd/tn8nnDrzvwZ8psN6Fn1CajrJh1/9QR6/1/hY7Q47//HVD3DGS87abccgyRJv/Np/oL7hBcS2jBNZM4Ry8hFLnpl3+93ks3lT46e5fOtz3+HaL3+v8fjH3/4Z3/n11QyNmrfzWAjZJi+7xUs3ZPNFdsUTaDWdgM/NYCjQ8wGeZJOMH3STsftShHupWGo2c5qhXCxTrVSXlcotCAKhwRCegIedkzGSmRy6ruPzulk7Ntyx16ooikRGIoQGQ2iahiS31iKbvp9CiWwyi1YzWgv5wr6m61W2yQysWtC2AIBQJMjw2BC7djQbhYmiyEGHd5M4szjCQx4+/t0X88jfd5DPlll/aJSx9Xs2HblcKhPfZRh+iaKIN+TFH/Yv+7o+7dA1bJlKkZ5T7jAU9LBxQ6vwXyrtakTnR/AXg8fn5rKvvZ1sKktiItHyvK7pxndzLx90l0tlpnZMNe4znSbWPvuhLzbEbZ2bfnwL57/iPE58zvEreZgWu5O9/Jq22LewBG4z38EQoBsVRVmtqmrH3rUzvBjjPN6LeVrvYxgthe4CzlZVtV0+3iuYNf26Dfiu2UqKorwAeO/Mw6OAqzHMrsx4H4bxlRM4jzYCV1EUB3DmzMNvd+jna9FHfP69VzXELRgDjivf8UmUIw5g9YFrOmzZG2rVGonJBKVCCc9whKFD1i67vqyeOphP5ymXymRTWVOh9rc/NqdF79q+i89/9Mv8z9UfX/JrrzTxdIaHn9raiBrtjMVJZfMctKY1yrMcRFEkNBAiMdk8uPaH/YsWuLquk5pKdXweYHpXirtufpBivszhJysccnzXc4SAMTmzbnXredA0jVwqR7VSRbbJeAKelskTURK7Ticv5orGoLz+OF+kmC8uORItCAL//fUrePerLyWfm23v896PXcxaZWWiqnanzMZnrwUMsV5PCzUT6ytNrVprqrnUNI30dBpBEBbVk/rB+3bxj7t3oms6G08YYeOJo3icdl53xlE8tHmCTL5EyOviqPVD2JbpoDwX2SabTt60KQlfFO0c2GW73NEte28hl8p1dZ5EWWTLU1tNn3tm02ZL4O4zCH1cg9uvx2WxklgCdw6qqv5ZUZRvAm8Fvqgoyr+oqtrWZlVRFD/wKSAFvLJNCvA3MATu9nbidkZg/vvMwyngNaqqtpsOPWLe4yM7vJ9NMyZYVwNvmzG4MpuafiUQwRDj7zV53qLP0HWde/5wd8vyarnKA3fcv+ICV9M0JrdNNiIdWk0z6st0fVEDWzMEQcAT8ODBg81uaxFqW57eyhOPbmrZ7ql/qst63ZXmiS07W1Iid07FGY4E8Xt6a8LiDXqRbBKFTAEdHZfHtaS+qOVSmXKHmsdMPENiMsflr/wa2eTs7e1NH3kRL33n2Us69jr1a2yuAMmlcgyuHlxyfXQy1mqTUC6WyWfM+x5rms7OLSlKxSpj6wI4Xa3R6uNOPZaf/OX7/PGmP1MqlTnh9I0cc9LRLev1GjOxXiqUltSeaKnks3lTU7hsMtv1feDWm1Wuu2Y2Cen2P23lX15zGBe89GBcdhsnHjhGLlugXDI+J6/Pg9Sj+nhPwDNT299ML1yo7U47/rC/qR5eEAXCQ8szeusXTPt3Q5Npn8PlIDwcZmA4yuT4VMu6A8MtvpwWFhYWPcESuK28HSPi+Xrg54qivF1V1RZ/f0VR1mP0zAU4V1XVdqPra4HnAS9QFOUQVVUfn7cfGfgmhsnTQ8BLVFXtVKf7yLzHHY2oVFX9pqIoA8AngC8oivLuuaJdUZRDgS8AjwPPVVV16YVjFrsVWZYp0yo+dofBTCFbME3jyyQyyxa4c/EGvYiySD5ltJNxuB08dsPjputGBvpn4JhLZ3n6ERWHy4ly1AGAQKls3t4kVyj1XOCC0Vd0OYZL1UqV6Z3THdfJZ/IUc63O19/97xs4/uzDWHPI0tNJ0/F0S3StUq6QjqcJDiyt3rpd6qnZ8nSiyBc+8meeeswws/f47Fx8xbM4fGPre1q1bow3XPzaJR3TUmtXk1OtYr1UKLUV60slkyvzo5ue4IlnEthtEs8+YYxzT1+LKAptW2l1ar81l1yuzI++2/oT9vMfPcazzlxLIOhgcleMTHr2ZykRT7Fq9XDHbIRqtcoj/3iEdDLDQUcexPCYeSMBp9uJ0+NsLokQ6JkIDUQDOFwOSoUSgijg9rl3e33/SmF32U0N4tw+d+P7Wb+m3/7Bt/Kxd3+yab3Djz2U0593asv2FnsxVqDUoo/YN+60PWQmcvoGRVF+BnwU2Kwoyk3A3RiR2iFgI0ZLoe8Bl6uq2jaHb8aE6rXAJcDNiqL8HkOUFoFVwKuBQeB/gI93SGGu7+9mRVE+z2wN7r928Z4+qSjKw8DngX8oivJLIIER/X0N8EPgfaqqZhbal0V/IAgCZ77sbH793Rublnv8Hk48e/HOrYul3ey9VtPQdb2nESS3191k+PLi113IT779M+Kx2ciuKIq8+T1v6NlrLod7/3gP/3PRf5GbGZQfcNSBXPGDTyBJIjWT8+aw797bsK7rlItlarUadrsduc3rJyYTHevq6gSiXk45/0j+8ON7Gst0Xeeph7YtS+Capo52WN4N81NS8/kqO7fnCA/B4X4fsm02Mnj1lX9riFuAXKbMly6/jSu/ewHByPInJDRNIzmZbPQCdnqchIfCXU9QVavmYr1WWfgz65ZKVeNz197HtvFZs6ef//YpyuUaLzpHweE0N0br1jAtNpmnVjPrLwyTu7JIUq1J3IIxGTE1GWdkzLzePhlP8d5XX8rD/zDmgmWbzAc+8x+8+PUvalm3mC+21Pu73K6e9hF2egwRva/hDXgp5UtNEXC7004g2uorcOFrz8fldfF/3/4F2UyOo084gnd++N/apnFb7J30bYayxX6JJXDboKrqDcANM5HakzBa+EQxUoi/ALxKVdWumn3OiOarFEX5IvBsjGjtAEY7oncAd6iq2tlVp3l//85sSnO329yoKMrNGK7OxwA+4HbgCrMItUX/8/ZPXEwuk+PPv/gjAJHhKB/+9uVER7szyFkOdqf5wMTmsLUVt/f9bTs3XPcIqUSRsXUBXvuO4xhZvfho7+DwANf++mquuvyLPPPEZqJDEd566Vs4+TknLnpfvWZ6PMYn3vxRinPqMZ966EmuuvhK3vH1D/DUtmZj9IDXTdC38uZWdTRNI7Yj1tRzNxANmEbdO6UmzycQaX0PvuDyRKDUptZSlJeenhocCDK13UiVfGpTih9970lKRUMQjqzycekVpzMw5KFSrvHwPTtbti/kKzz+4CQnn7VuycdQJzGRaIqA1VOOh9YMdTVB1K5+tJcRwn8+FW8St3V+e8cWLjhrAw63A3/ET3p6Ng1Xtsld9+ENhV0IgiFo5xOOuikVzX8WS6X21+aV7/9MQ9yCIYg/+e9Xcugxh3LwkQc1rTu//AGgkCtQKpRwuvc9UdpLBMFosVbMFamUK8g2GZfH1ba++LkvOovnvmj3GSBa7GYE+jeC26/HZbGiWAJ3AVRVfQbD/bgX+6oCf5z5t9uZEdq3zfyz2MtxuBx86JuX864r30Muk2dwbABJ3j1faYfLgS/kI5OYDfqLokh42Dy174G7dvDFy2cvu/hUnk9cciv/9Y3nE44uod/khtV88brPLv7AV5hH7nyoSdzWeeAv9zLo9yGvExmPJahpGkGvh/WjQ4i7cdo7OZVsErdgtESxO+0tA3pRFNtG6ueza0tzKvPaQ0Y4+tkHL+tYfSFfI7pZRxAEfCEf1aqG+ugUxXyFdQdHCIS7S8V2up0MrRlifGu8SdwCjG/P8PXP3M3lnz2rcyRi3nOpTInrfvU4mzYncdolnnPSKs571tqODtC1Ws00vbNSqlAulruKgM4V63UcLgcu39LT0ueTyZsLyXJFo1LVcNglApEALo+LcrGMKIk4Pc6uja78AQfPv/BAbv7Vk03Lz3zeeqIDbhLT5q/fqQb37j/9vWWZpmncc9s9HHTEgeRSOfKZPJqmtY12V8vV5v4HFqYIgoDL68JF7645i70YK4Rr0UdYAtfCYi/HHw7gDwd2++sGB4I43c5Gv1C3z902vfLXP3msZVkmVeL236i86HVtfdL2OtqZH4miiCAKDEdCDEf2XFuXUt486aSYL7YIXG/Qa1rnOR+7y8H6w8bYdN9WajWNV773uRzz7ANJx1N4g94lR8JESSQQDZDP5KlVa8h2eeZxlc++7xa2Phk3Xt8h8a8feTYnnrmuq/3anXam41qTuK2jboqTy5bxeO0ce+oq7vvr9qbnPT47hx0z3HhcrtT47LfuY+ekkUabzVX4+W+eolrVuPDsDW2PoV3tKnRfv+p0OxlcM9jU8sgfWn57nrmsGTXv/zsUdSOLRk20LMvYnfa2WR0L8YrXHU50wM09d+1A1+HY40d43vkKAL6Al0Qi3TLREgy1z/ywtUm5l2020tPpJtOndki23vsY1Go1SvmS4SXgcuwztbgWFhYW/Yh1h7Ww2AfRdZ1sMjtb3+d2EogEet6eotv6skzSXFilE11l+e81HHX6sfgjAdLTzWX5p5x/+rL6xfaMNh+/YPKEN+htOAyb4fa7sTvseINeXvnvz+cV7z2PyW2TRn1vtUYhW6CQLRAdjeLyLi7Ck01mm9JHnW4nkdEIoijypf/8XUPcApRLNf73Y39h3UERBsfMBdl8JLlTf13juYv+4xS+kr+dx+43KjgCYScXX/Fs/KHZ6/2RTdPsnMwhCjBXs/729i1ccNb6tmJTkiUkWWqpcRYEYVF1iQ6nA8dwd/WuS2H1sI8Xn7OB63//dGOZxy3zrxduYOfTRgp3PXNjsZ9xHUEQOPu8DZx9XuuEgCzLrFo9zNRknFKxjCRLhMMBfP72af0veMXz+f5XftC0zO1185znP6srcetwOXqenlwuGj1jG0JdgMhwZEnO5hYW/YoVwLXoJyyBa2GxD5KaTpGJz6YPV0oVquUqkdFIVxGedK5EPF0i7Hfg9yx/AL3mgBDj21oHl2sO6D6aWSlXyCQy1Ko1bHYbvrCvbZ3mniIQCfDRH36ST775o8R2Gumjx519Iu/5wvv28JEZePweUrF5nngCpgNtQTBamlRKFSrzHKD9ET+BSHPWQD6TN63bTcaSixI/pUKppTaymC+SnEoSiAR59B+ttbHVisbjD+zqWuAedFiUUMRFYro5nfyYE0dwuY2JCK/fwWWfPZup8SylYpWhVX7s9tnrTdd15FqZy15zAE67yPh0ievvGGcyUaZYqlGr6chthHS9fnFqx1RTNDc83L3J1O7ihWdu4IC1QZ7cnMRulzhqnYdqfva8aZpGbDzG8NrhFZnEsTvsjK0eXnjFGd7xoX8jm8lx/fd+ha7rDI4O8t/f+BjRoSi7NpvbTdgcNgRRwOE0aop7GQXXdb3Rq3h2IcR3xXG4HH33eVtYLBlL4Fr0EZbAtbDYx9A0rUnc1inkClRKlY6phLquc+Nfn+HWu7eiY/xenXfyWl5w6rplDfpe9bZjUf8ZI7Zr1hH1mFPGeNbz1ne1faVUYWLbREMMFHNFCtkCQ2uGltwTdaU45LhDuebeH7BryzhOt7Mr069H/76Nh+7YgiSLnPi8A1l3yMoYhflCPrSa1qidFiUj+tbONVYQBQZWDZCYTFAqGKnonoAHX6hVSLZzXF6sq+98V9u5y4MDApIkoJk470qLMJ9yuW1cesXpfOXKO9m1wzBROnLjEP96yQlN6wmCwGCbNN1MIkPIqQOGQBmNOnnjuav52vWbCQVdyAscj8PlYGTdCMVcsdECqy+i/CYcsiHMIRvC6LrOTrV1ggHdaB1mC+/547fZbXzocx/gko+9i2w6R3Q4giRJaJqGIAgtvagBoqPRnqYMz239pNU00zZUdTfzpUa+LSz6DkvgWvQRlsC1sNjH6GQMtFDbl7sf3cXv7t7aeKwDt9y1hcGwmxMONe8l2Q3hqJv/+vrz+eutT5OMF1m1PsDJZ6ztWpymplMtdYvVSpVMMtMSSewHZJvMqgNWd7Xuzd+9jx985vbG45uuuZd3ffb5nHDOAT0/LkEQCA4E8Uf8aDUNSZYWnLiQZInoaHTBfbcTCO3aELU/yDaLBQFRFDj5nA3cfvNTTc/5Ag6OPHFsUS+zel2AT331XBLTBWw2EX9wcWmpjz0xyW/u3kU8XSHglTln4wAbRj0cc2CAs8/o7rOTZAlPoHc9a1cSTdOY2j7VdY1wN+i6TqlQQtd07E57T6OZHp8Hj2/23IqiSHAwSGKiOTvAH/b3TNzquk46niabyKJpGnaHncBg+/tTr0tGLCz2GMLie3nvNvr0sCxWFkvgWljsY0iyhCAKpkY2C0WIHnoqZrr8wSenliVwwTDoed5LD1nStmYREOhtz8963XJhxgXZ7XXjCXhW9Ec7Np7mh1fd0bSsVtW4+iO/59jnrEdeAbMbMAb73TrddovL68LhdrQYWQUHgovaj9vrbmo701g+k0b9hn8/mXKpxt1/MMztoyNeLv74GU21sd0iigKRgcXXQW7fleU7t2yhOhNJzpdqXPf77bzpvNWcf8Y6hkYX3/6q1+i6TqVcQUBAtsvLvo7T0+mOraMWW7darVSJ7YjNpr/vhrpUb8CLbJONunLd8BDo5etlEpmma7dcKjO9cxqXx9W4r9SR7XLbPsKdqFaqjTKNfstesdjPsYSkRR9hCVwLi32Meu3k9Hhz6xZ/xL/4aNqcfe5J2vX87KXbaXIqSTY52/OzlC9RrVQXLdAWww41bjoRkc+UiO/KMrh66dHpQrZAsVBEFAyH63ZpyL1CEAQGxgbIJDJGyxhRxBv0Ltpd1+awER2NEt8Vb0QLPQEP/oghGh0uG+/8rzN40/tOoVSsEoy6O7bkWQn+dPe2hrito+tw92MJjj9u3W49FjPKpTKxnbHGBFD9nC4nUjm/vdRcQkOhRX/O8Yl4c223DtPj09gd9iXfp7rB6XauWI/bufePOlpNw+F2IEgC+bRh2OZwOQgPhxcVwdV1nfiu+KzpmwDhwfBekwFgYWFhsTuxBK6FxT5IvWVPPjsTqXA7u6r1OvrAAR5Sp1uWH3XAwimqK0kgEqCYLzaJQdkm4wt2Zyq0ENVK1XRwmklk8IV8K2YEE4iYR48EUcC7hIhknWQs2VSHnU6kGRgbWLGBfR1BEPCHFxe91DSN5FSSYr6IgIDb78Yf9jO6YZRqtYooiaZmYh6/A49/5RyEO5HNt062AJQ1oasetiuJpmnEdsSayhEqpQqxnTGG1gwtebKqXcTf7XfjDbR3NTZD1/X2LasKRbz2xe2vX2iXvq3rOpHhCOGhMOhLS01OxVLNjua6MUkg2+U9fs1ZWAiA0KcJBVZgef+kTy9HCwuL5eJwOQgNhAgNhro2MjnxsCHOO3lt4wdBEOAFp6zj+EMGV+5Au8DmsDG0ZgiP34OkF0ncez1bb/w8933zCrb97Rb0ZdYFdqpNXqhueTmsPWSAY569rmX5ua89Grd3aYPWcqncajI249pqZrCzJ9F1ndjOGLlUjlqlRrVSJT2dJjmVRBAFbHZb3zllA6xtk4K8Ye2e63Fcp1KqmF6z7ZZ3izdoLjrNDMe6okOt9d5KO6FZXy4IwpLrbgvZgunydqZs86mUK2STWbKp7Ire0yz2Y4Q+/WexX2JFcC0sLBoIgsALT1vPc44dI54uEvY78bkXl3q4UtjsNgJhN1tu+V9KKSPKXC3m2fH336NrGmtOP3/J++6UutlLd9X5CILAez53Pj/54l956I4tiLLIaecfzAvffNyS92mWyg2GUNc1HUHqn1/8crFsGsnLJrMEooGe1wn3iueeuppHnoyx6ZlkY9maUR8XntXay3W3s0JzGC6vi/BwmFQsRa1aQ7bLhAZDi+rbW0cQBDw+D7l0rmm5KIld9dXuV0KDIaa2TzV5Bvgj/j0eYc2n80zvms3MSYpJBsYGmo5r5z83c+/1f6FSLHPgKUdy5Hkn74lDtdhb6Wcx2a/HZbGiWALXwsKiBZ/b3jfCdi7JzY83xO1cdj34V1af9oIlR38kWcIf8beYGwUHgitu5GJ3yrz+sufAZb3ZX7uI53KiRytFJ8fv+nPJySSFXAFBEHD5XAQjwT3+Pmw2iX9/80bueXiCyVieSNDJiUcPY18hU7BFHZvThiRLLVE6m8O27FR7j9+Dx+9B1/VlR1qDg0F0XW+k3co2mchIpC8j9t0i22SG1g5RzBXRaho2p62jkZSu6xRyBUp5owWX2+9uawTo8roa7b3m4vR2nhCoVWtMTzTfM3XN6M07sn4EQRB4/M/38a23fILajDC//ZqbOOsdL+WCD75xobdsYdFgb86+sNj3sASuhYXFXkO1ZJ6Op1XK6JqGsIzBcSASwGa3GamAguHmuzf2qHS4HdhddsqFZsdbf9jfdwOQdsZXoiQiSiKxnbGmCG82kUWrakRGIrvrENsiSyKnHDOyqG0K2YJRFw+4PK4VcQwWRZHoaNQwmZoRuTa7YTLVq8+/F/sRRZHISITQYAhd1xElse+uTzN0Te9YGy6KYtefayqWahKtmUSG6FjUtFY+EA1Qq9YaEwKCIBAaCi3oxFwulU2j+rVqjVq1hiRL/Ph9X26I2zp//Nov2PiiZzN2WHe9yi0srEipRT9hCVwLC4u9Bu/wGtPlnqFViD2I/Lh97hVtU7I7EASBgdEBkrEkpULJSAcNeBZtBLQ7kG0ywYEgyanZVF8ECA+FqVaqpunL+Uye4EBwxYy/VopMItP0PvPpPNVKddGmXN1gd9oZWTdiuBQLhsDtV/G4J1rd1PvV1utX3T433qB3wXOUz+aNWvYZszuP30NoKLSoc6vrOsV8kVK+1BKR1XWd+ESc0fWjLdsJgkBkJGII3VoNm23hNkGVYom/Xvtrtjz4FN5IgKMufBbe6KwzuyAKFFI5UhNx0+13PbHVErgWFhZ7JZbAtbCw2GtwhYdZdc6bKCQT1Eo5sk/fi0CNA8599Z4+tL5ClETDsXUvwBfyYXfYKeaLjci5zWEzHrdB0zQk9h6BW6vVmkX8DKlYyjBOWwGxLojColv3LJVYqsAD6iSVqsaG0QAHr+rva6+p3Q5GLXi1WiU00N4krN7Tdi65dA5RFglGu2slVne47tRyqVapoWla2/pz2SZ35QtQKZb42is/wtb7NzWWPXzzX3nVly8lMBI1nPYlCafPhd3loGxyTP6hPW+aZrH30KdzaBb7KZbAtbCw2CvQahoT2ybQ7UGcg8aA0rPqMCLDQVyBpfeLtdjzONwOHO7mVEub3WakvM1LrxREAVle+k+XruuUi2Uq5QoOl6NtzWMvqfejNaNaqe6xaHTdVXs50d2nx1N8+5aHKVeNmuk/PrCNczau4dzj1/XiEHtOpVxpbrczQzaRxR/2t60BbudiXMgUuha46el0R3ELxvXdi2j73677bZO4BSgks/z12zfy8s9c3OjvLUoSz333K/j1ld9vWveAU45AOenwZR+HxX6EJXAt+ghL4FpY7EeUM2me+OkPSG1WsXt9rDv3hQwes3TH3t1JNpWlWm6uE0MQyWXLuPcTfVutVNE0Ddkm963DcK+QZInwYJj43PRJASLDkbYmU7quk01mycQz1LQadoed8FC4Uetbq9WY3DrZ5HLr9rlXvKa3k4DdE+JW13VSsRTZVBZd07E77YSHw4sS+5VinsnH7uHhh1WUmp0nGaU6M6T4/X1bOXJ9lNFI/6XFd2qRo1W1RZtcLab11kLiFnpXKz/55DbT5Zld0y3ZHWe/82X4h8JMbd2FrunY7DJnvPVFPSn7sNhPEPo4gtuvx2WxolgC18JiP6FaLHD3J68gu3N7Y9n0Y49w7MWXMnxC/7eEqM4zQVlo+UqgazrJWNKI5uiGg2lwILjiYlPTNOLjcQo5I4pUN+jZm1uqdIMn4GlKV3Z5XR1FWDaZbUoFLhfLTG6fZHjtMJIsMT0+3XK95DN5bE4b/lDva2HrSLKEL+Rrqbn0Br0r2oaqHfPNjcrFMlPbpxheO9xVTWw5n+Hxm66lnE0xBoxJsEaf5A+1Yxoid+d0ri8FbrvrRxAEpA4u2E63s8VlHQyzsG6olCtGTbTZa4sCsk3GG/DiCXi62t9CBEaibZa3TuaUCiVGjzmIkaMPnHO8VRx7tx2Bxe6mbxWuxf7Ivh0CsLDYj6lVa1TKlUaEYfzuvzWJ2zpP/vKnu/vQlkQ7IbA7BUJ8Ik42mTUcSGs1cqkc0+PTi4riLIV6q5w6mqYR2xnbreJ+T2F32vGH/fjD/gUjjNlktmWZVtMaKanznaXr5NOtKau9JhANEBoMNdKxgwPBRpro7kTXdbKp1vNUq9aarrFO7Lz/NsrZVNOyoJDjYHH2/uJ1rXzq91KQZIlAtDXlIzjYeaLK4XIQGmyuSXV6nAQGOqePFLIFklNJJrdONsyp5jO4apDhtcNdGV11yymvO5fEdcOHAAAgAElEQVTAcLOYlWQjHXkuuq6b3sMSk4n94v5i0TsEoT//WeyfWBFcC4t9DF0znDjrg3pREokMRyglE6brl5LmDpr9hjfgJZfONaUpC4JgOljtFXXH01q1hiiJ/O2WO7j1Z78jl86x4TCFl73t5YARRV5KLWelVGmICqfb2dYUqN5apuXYckW8wf6Lku0p2vXV1TRjuW7WL8V4YsURBAFv0NsXn1c7odVu+XyKyZjpcj/Gdbp6wMcBo7tfvHdLfbKkmDOMzVxel2lrnvl4g15cXheVcgVREhd0p05MJkwnXeYSGYmsiBmYLxrkXdf/D7dceR0TT27DPxTmnHe9nLUbD25ar1attf3eVEqVxgSiVtNAYJ8vjbCwsNg3sASuhcU+RjKWbDJR0WpGtM8zttZ0fe/oqq73rev6Hms3IkoiQ6uHSMfTVMoVJEnCF/YtSljqus7m8Sl2TSfQdJ2w38uBq0eQTWrNtJrG5I4pSsXZqN/4tl08cvfDADzzz6d56pEn+fA3riAxkSA6Gl1Uy5NCtkBsPNYQVylShIfDePwmKYptddluUGY9JJ0q8ej9E9RqGgcfPsDA8NLTMbWaRiaZoVapIdkkfEEfdpe90fplLvVeoQ6nw7QO0uXf+/odLxVBEEz7JAPYXd0JLbvbZ7pcs7k5fu0QF5yyAXkPtP9ZDC6va0l9riVZ6qpuulQoLShugRZztV4SGh3gNV98b8d1Ot2zREmkUq4wPT5NpWSkV7t8LsJDYUvoWjQh0L/R0j49LIsVxhK4Fhb7GGYOobqu491wMEMbT2Divnsay2WXi0Nf//867k/XddLTaTLJDLqmI9tkQoMh0/pPXdfJxDONiKPL48If6Y1pChgDruWkdT65bZytE7PRpx1TcfLFMhsPXt9yjIlYsknc6rrOua9+AZsefIL7/vIPALY8sZl7/3wPp5x7GtPj00THol29V03TmN413SJc4xNxnB5ni9GNy+tq/VwFuoo69QtPb4pz1cduJ5s2zqnNJvJv7zuJ40/tfoKljplZVD6dJzISoVKuNLkW+0K+xrUaHYsysWWiaTuXx7Wk+ttKuUJiIkG5WEaURHxhH95A71JMV5LIUITJ7ZNNhkvBgSB2h7nArUfA66Jm+OjTSG7bhFadrSmVHC4ueNGFOLz9G7ndnZSL5unwc7HZbSsqFKuVKrpu3LPbXZeiKOIJeMilcgDk0mXy2TKDqwLIdpmJrRNN36dCpkCcONE2Nb4W+zH9f+uz2I+wBK6FxT5G23pQQeDYd13K9tv+ROoZFZvHy+ozzsE9ONR2X5qmMbl1sskcpVqpMrVjiqE1Qy2pdYnJRGOgBEaKW7VaJTK8si613VCraWybaE2tTGSypHN5At7maOL8SF99gHjwsYc0BC5AYspI/a6nMndTE1ytVM3TQXXjnEluQ+BWy1VKxRJOj5NqpdoYNAuCQHg4TGo6wyN/fxybXeaY047A4+9PVxitpvO1T9/VELcAlYrGNz73dw46LIo/uDihno6nW+oDq5UquUyO4TXDFHIFtJqGzWFrmgQQRZHhdcOUCiWq5Sp2l72tqOtErVpjcttkI7WzVq2RnEwiIPRFCvJCyHaZ4bXDFHNFNE1rex6qlSrxXfHGd8HpcRIeDuMOD3HI+W8yanFzKRz+MGPHnWmJ2zksFOWVZInIaGRFJkS0mjGBVs9mECWR6Ei0bbTYMNDKcMO1j/D3P2wFwOWx8a4rzyYUbb2fFTIFtKH2vXot9kP6ud61X4/LYkWxBK6FxT6Gy2MS7cNIhRNEidVnnMPqM87pal+pWKqt82c2lSXsnG03UavWmsRtnXw6TyAS6Cj8nnzkaT5/2dd55vEtDIxEeMtlr+OMC07r6hi7pVKrtk3oLZuYqQiC+eCtlG8WviNrRxt/1yNdC9GpFUn9uVwq19QiR5KlRhq0zW7jzlvv5WP/76qG+IiOhPnM/13OhsPMU9H3JInpAlMTrddGuVRjy9NJjtw4vKj9VUttHLXLVURJNE/znkEQBEP0LmMuIJ/JN9Ut6rUqlUyMWHYK99FHIUr9/9MqSiLuDhMiuq4ztX2KaqVKtVpFlmWKuSLx8TjRsSjuyDAHnPOKttvv7zg9TmS73NLazO134/a6cbgdKyYQE5OJplR9raYxtXOKkXUjpsI7FUvxh59vaohbgEKuws3XPchrLzFvI7fSxnoWeyGWkLToI/r/V9jCwmJRhAZD1Kq12QikAOGh8JIiVfPF3Fzmi7lO/SU7RTZ3btnFO1/4fnJpQwClExk+9Mb/5l3/diJHHBwksO4gxk4/d9miwW6zYZMlKibH6XG1RhC9QQ/xieY0w3KxzJ2//Wvj8fFnnsDRpx0DGILBZuuuHliSJdw+d8tEhNNtDIor5Upz/1eMc5iOpxlaM0RiKsnH3/q5pihzbDzOR9/yWb5755f6Lk3W4Wwv6B3OxX+u7aJju6un7Nxrv5KOMX3vDdQKRguZxIO/4eAL34I7sjjR3k/ous7Ujin+9se7ufpz1zK1K0YoGuJNF7+WM849vetMhW4pF8uNVG+nx7lPRAZFUWRw1SCJqQTlQhlBFPAFfXgCnhX9fuq6bm5KpxmGeWaTP9VKlYfu3NmyfMsTcWo1HUlqPl6bw7bofsEW+zpC3/3uzNKvx2WxklgC18JiH0OURAZWDVApVdA0DZvdtuDAv1KuoNU0ZLvcNHARxPY/DHXjnjqyTTZ+R0wm9mV7+1vNjd//TUPczuXXNz7AmBgl8eQjpLc9zWGveSdCm4GvruvkUjmyqSy6puNwGW1Y5hqoiILA4etX8+BTW5qiDweuHsHtbE3d8/o96DWNZDw9U3ssgS5x+vmnk5xOMbZuFc+54AxEUUQQBSIjkY7naz7hoTCiLFLINPfUFQShbTubcrFMJp7mvtsenHFfbn69LZu2E59IEBkOm26/p/D6HZxw2iru+Wtzm6o16wNsOGjxx+oL+8hn801p3oIo4AuZmx/1mnpqvq7VmsQtQCk1zaYbr+XoN7wfQdw7RUB6Os2Ddz/Mpz5wVUPMJ2IJPv/Rr+Dzezh/Xe/EezqeJhWbbTkk22QGVg10FNCaplGr1pBkqa/FsCRLe6ZWtV1wtc1y2S6j1VqfzCRKqI8mOfjocOOeKckSEZNeuhYWFhb9hCVwLSz2QQRB6Kr1hK7pTO+appCd7X8ZGgrhDRh1hB6/x9QsxeFytNQaipJIaDBEYqK5HVFwMNhxtj8Vz5guzxdno2Txxx8g9cwTBJVDTdfNJDJNg+RqpUqlVGFwzWDTrHLI6+GIkWGKhRK6AN6gj2jEvM2QIAj4w358IR+6rjcG0m//+MWN16hHuJ0e56Kjh4IoEBoIERoImT43n3Q8zTUf/V8e/8djALgEiaLuQp/XztzuWjlX1uVw0XtOwO6QuOu2rWiazmFHDfHWS05AlhcvUGx2G0Orh0hNp6hWqsg2mUAksKRWTUvB6XbiDXqJb3m6SdzWKSZjFBJTe20Ut5ArcOuNfzJNuf/dr/7Ii95wQU9ep1QoNX1vwfheJSYSDKwaMN0mk8yQnEo2xFogGsAfXrxJ2L6MzWmjUmwuLREEoW0NbmggxMHHDnLX77bM2wbWHjTIyPoBSoVSYx/9PKlgsefo2wCuxX6JJXAtLPZjUtOpJnELkJhIYLPbcLgceAIeNE0jPZ02WgTNRMn8YXNnZG/Ay/jWXTx872P4/F5OPusEfMHOUbVDjj6AX5ksHxtoFivFhHnvTV3XScdbRUa5VKaYKzZagdRqNcMRtFprSMJiPEPZ6+qYvi0I5qlXsk1GDqzMLdTpNgRzPe1b13Wu/tBXeOrBTY11JKGGkzwF3UM9kvusF56EL7D01ju9Qtd1ysUyuqYb6Yzy/2fvzMMcuaqz/96qUqm071J3z0zPUh57vO8rdrxgGwcDhmCzBMcOkDhASAIBYpaPJSEkJIEAIcGQEAfCFowNgQABDNgOmxeMbWyP7cFle7Ze1Np31fr9US2NqlVSS93aevr+nmeeaZVKVVdSSbrvPee8h4Xg4nDTW8/BH/zp2dANY03CthWH04HozHicXAkhCMVDMGohLI1lBMOnWqnablc1bWCpiJ2chu1aOQFma61cMmfZlk/lwXFc13riXtnovV51TcfS4SVbcRuZjnSMigseATfefDEKmTux95fzAACGJbjx5otwzCnmIo3bN5kGdpQJggpcygRBBS6FsolZKW4b1Mo1OF1OaxRTNwVut8ntlz91Gz7+3k8109mOO2U3Pnn7RxCKmu6quqajVqmZrSs4Bopcx2XXnIf77noQd3/rSG1rLMjht8+3RmWEsH1ExzAMe0dimKK2QSlbaqsTbrRAGpdQ6kQjzbzRfzI9n7KI2wYs0cEYOgzC4ZJrLsA7Pv6mMYzWiqZqSM2l2hyfGxNkhiVgjpKZUGjrdgihOGrZpGW7KzIFVyg+plH1hqqoKKRNN2rWwcIf9jcj4G6fGyecugc/+9G9bY87/fxTBzaGTin9nbbbmecBQLlYXpfAVRUV6fl085p1eVwIT4X76ms9LlJzWTy3dw6+sAeRaZ/tokFkOrJqz19fyIN3feYaHHo6g3ymiq1iGMEoFbWUHqEuypQJgwpcCmUz0+MXPyEEhO2+82O/3ItPvP8W/O4fXYdLXngheKcDv35gLz7x3n/BB255D+SajKXDS033WcMwoMoFGJqMm/7iZXjBtZfg6cf3w6kXkMg+ACd/5HyxMy9GnQvh4L6DZs/RkA++kA+EEDAMA87BtbWNAcwoXwNV7eC8a/O4caDrOlRZBWEIOAcHB+/A1PYp6LoOA53dmf/x6x/ACeeeCOeEpCY3esM2MAwD6fk0HE4HHLwDuq5D13SwHDvBpiS9QRgWx73kddj37c+hml4AALij0zj2xa/tWC8+CWiqmc3QdIKumotdidkEHLwDvpAP1732Zdj7yJMWkXvepefg9W+9YWDjcHlcyLN5iyM1gGaJxEo6Oveuw9C3YajV6nZcLVeRXkgjtsV+Ua0bcrWCYmoeuq7DE4zAHRhePfz3vvAzfOZdX4Ommq/fh7/5x/CFjojSoqwgXa1jSdNx/K4ZuJzdU/gJIdi2O4JtQxsx5WiFYHIF7oQOizJkqMClUDYxbq/bNr13tdV+Ox782cN43Vuuxwuvu7K57XmXn4uZWVOkpefTloksIQQc74dSTUOV6xCPi+G3XnQhACD3zKVYfPAn0BQZ/h17QBJ7mqJJ1/Rm3V6j9i6cCGPp8JJlAuwL+SxGWJ0cjrsZYI2KarmK9Hy6GYl2up2ITpstgRiGwczOLUjMTmHxwILlcYFIAHvOOn5d4lbTNMwn06hUamBZFrFoEH7v2tKcDcPomNpaK9dQzpdRzJo11wzLIJwIr+lamyRcoRhOec3bUMulAEIgBCITJW6rpSpKuRJ0XYfT5YQ/4kcxW2wTlYZuZjNEps3erNGZKD72pb/D/f/3Sxw+MI+Z2Wmcd8nZA3XPZTkW8a1xpBfMTIWG07A/Yl9T6/K4bLNOBE9/fZRbkWtyWysfwLxeG0ZWvVLJpXHg8QdgLGeOpPYD8Z17ENkmrnl8dqiKin2/eg633HybJXulUqw1Be6BQhkPL2ZN7Z/M4aFDSbzknBMQm4ASBgqFQhk245/ZUSiUseGP+M3+tcsuxoQQhBIhi0GVpmmoV+owDNOduFMdl8vtxCVXtveu3XnsdtTKNdtIKSEEhHHA0GXUymXoug6GYRDctQfBXXsAAKVcCdlktu2xpVypKXCdbicS2xOoFCtNF+WVwskb9KJcLFsmswzDINDBZGpUqIqK9FzaIs7rlTqSB5OIz8abEer3fO4D+MCr34PMYhoA4Av78Z7P/+W6BKKu6/jNs4dQrR2peSyUytg5O4Og3xpFMwyzzUjD1ElwC/YR2A7RtHq1bhEnuqYjNZdCYntiTS2sJgnCMHCFJy8luVwoI7NwpN2UXJNRr9Y7pt6uTOHnHBwueP55Qx2jw2lmKjSu/25RfbffDbkuo5QrNbd5Ap42w7t+6NbPtZ9er4Zh4PBTjzTFbYPks0/CG0nA6V77GFvPkUvmUMqX8IvvPNxWmvGL7z6Kl77hYlQU9Yi4XaYqq/j+Q/vwmotP2/CZE5TJhF5WlEmCClwKZRPTqI8MRANmb0uesxisrEwrBgEiUxFbw5GLrroQaof2Np1qZJfvtYxnJfPJMp54IgfeweCYWQ+cvBlRWenw6uAdXcUqwzJIbEugmC1CkRWwHAtfyLdqP09d16EpGhiOGUrvx1q5ZjuRVmQFiwcWkdiWAMMyEE/Zjc/c+x/Ye99jMAxgz1nHwxdan3vsoUcfx7OfuxVKchGs14fAJc+H5+TTML+YsghcwzCQmkuhVq41twkeAdGZqOU9I4R0TBfvZChULVaHInAb5mgN91dPwGPbA/RoZqVDMYBmv1k7Btnbtl96EV0Ncy9v0NtcaFmvc7bD6QBhSNt3FOfg+oreaqoCtW6fvVAvFwYicEu5Ekp5U9wzNiZtP/zK/Qgn/DjmiuNs15ly5RpqigrXiNzGKZsMqnApEwQVuBQKBSzHtk3mGrWTllRGA8gsZOB0Odv2n9oax4GnDtg6kDYiqivTC3VdhaGbjp/eULhtknv3zw/iC7ftRWPuGfQ58PvXbEc4wLf14e0FhmUQiPYesS0XysguZpsC1Bv0NnvVjgJVVlHIFBCMmSZdbp8HZ11+7kCOXUkm8euPfBha1XxP1HoN6Tv+C4TlwJx0imXfYrZoEbeAKcyL2aKlRYthGB1rnTtFw4z1FFB2oCHIG22cADOCrGv6yHrljhvDMNoisg1WpicDprFTp9TgtaJpGrKLWfPaIYDH5zE/P330i7bDwTsG1hKKZc2+rq1ZFAzLIDIT6etzzrIcGIcbTt80GM4JXVMgF+ehySWw3GAWcFq/P0+58Bh859afQq4d+bwZBqAq5ncx5jNtjycAHBvAOIuyMaH6ljJJ0G86CoVii67ptpG4RguYlRBCMLV9qm3yGowHwfGcxUnXPJAKtW5GmLyhEGJbrdYmcwslfOFrT6A1sJIrKrjjh4fBOliEEu39YwdJvVpHZiFjEWalXMmSHjkIBM+RVF9dN/DzxzL4wvcP4kt3HsKjzxSgyMoqR1gb+3/8o6a4baV4708hrDCj6dS2xXZ7B73aSZAI7rXXT3aiXq1bxG2DfDrfV9rpRsasce99DdsXXD2boR8Mw0DqcArVUrXpdF7Kl5BZbBde48blcWF65zQi0xFEZ6KY3jHdd1aBqmhwR0SwvAeE4cA6XBBCOyEEEuA9ARRzRRSzRch1+0yGfolvDeGP/uZlzZpbQgiuuuF5eM3NV2NrJICwTenC8dvi4IaQhUKhNFyUJ/EfdZnanNAILoVCsaVb9KJTBMbpcmJq+1RzUiu4hWY9L8MwiExHEJ4KmyKIALqmgTCMbdT36Wdz0G1Smw8tVhHdEh96OmWnliSVYmWgUUDOwSEyE8HSoSV86+cLePg3R0y/fnOojJrG4HfW4ObaSkNgNN43RVZg8C44o3HUU9YWN3q1gq3T1nrSTn1BDcNo1k0D5jXjdDlthW8wFkQulbMIz0A0MBSB2ylyaeiG2c95k4QaQvEQlg711ql30C1x5JpsuxBWKVYQiodG3oJH1w0cmiuiVtewZdoLj9u64MJy7Lp6vZoLX9brihACd3ArFg8sWlKgQ4lQR6fobri8Lstna89ZO/ChO94IhnMgMhWCx39E1L7k3OPxo0ckHE4XwDIEe7bGcOHxO/o+J4XSK5vka5WyQaACl0Kh2MKwDFw+F6pFa5SP47mu6cGcg+sqAAkhzXkgy3X+CnI67SMNDo6BwzG+KMQwIoAujwua4LWI2wbf/8Ucrr7i2GbtcT80+vwWsgXAMCfxDt6BWqUG30ln4sSTzkTyZ3fj0He+0XxM9Ljj4HFboz+egMdW8Ncrdcw9M2f22fSYjwlPhbF0aMkS/Q9PhcELPGJbYpBrMnRNh8PpWPMihaqotosoDTodl2GZdYlbVdXx9duewC/vm4dhGDj9zClc++oTwK/hvRkFgltAYjaBcr7cdFGWa3LTVK4BIWRdTsR2rKyRX3nfKAVuqazgn//9Iex7JgfA/G656fqTcfrJgzMG6/R8ZVlpy2rILmYhuIW+r/9G7XFrFklkOmz7fesVnLjm3BN6Mu+iUCiUow0qcCkUSkfCiTCyJItKwRQ3TpcTwVgQxVwRmqrBwTvgCXiGMnk6+fgowkEBmZy19vPiC7b2dT5VMetYNcU00fKH/T2ZxwgewTYduSHkBk2haj9BVjUDhZKMWLj/8xazRUsbKE3VLNFNwzAQf94lqMwfRuZX98O7dStOfe3r2o4juAVEZiLIJXNt0VFDN5CeS2NqxxQ4BwfOwSGxPdF03uYFvjmRb0R4+0XVNOw9uIR8uQY3xyICA+zyNZBHvmk81MDpcsIT8KCctwo5hmWgKmrf9ZsNJ/Ef/+BZ/PTu/SgUzLTxH/zvM0inqnjzn589sQKCF3jLAoCu69B1vVnPSRiCyFRkYDWtzfM6eXMha4W4s6v3Hzafv+3xprgFgHpdw6c//2t88J0XIB5de9S2FYfTARRt7uiwHqbUlb4FbsNkyx823e9ZB7uq8d2kXpeUowvaB5cyaVCBS6FQOsIwDCJTEYQTZlqxrutYPLBoETnFnDmrMwwDvJNHMBYcSPqw2+XAO/74LPzbFx/FM/vz4DgGl1ywFa94yXE9H0OVVSweWDwSXamYRi2J2cSqk2yXx4VANGBxonX73D0Z8RiG0WxHxPFcT5PMRMRewPIOBkHf6vWAtXINtUoNhBC4fC7wTr4tUreSxri2Xn4VZs87G1vOvwCcy34cbq8bLo8Lh54+1DZpb7QQaqRdMgwzsP62sqrh6794HEstYtXHc7hoWxz8chQwm8xC8FgjYqF4CDBgeQ1UWUXyYBJT26d6Fln1Wh2pwynomo5TT/bj+ONOwFdvexb79pkLBw8+MI/F+TKmZtbvkjsKGIZBdCYKVVGh6zo4B9cxBX09sByLcCJsaVNEGNLsszsqDMPAr/em2rYrqo4nfpPpWeDquo7cUq5ptub2uRGIBprPxRf0oVauWVKIOZ6z7bELdC7z6IVxLBJQKKsxqQKXsjmhApdCoaxKI63YLoLXOoGrKlXIdRlTs1MDSUGcinvw3j8/D4qqg2UImD4nhflMvi11UFM1FLPFpjNxN/xhP9w+N1RFbab3roYiK0jNpSwCNzoTXfWxUzEPrnjeNtz5s4OW7a960bGrpmQX0gXk00eEeCFTQHQmukp7piP4t21DZPq0nvYlIENxPu7Er6TDFnELAEVZxb5MASe1vIdK3YyqNlKXnW4n6rX2WmBd03uuozYMMzrd6jrM8yxecd1OfPQfH0O1an4WisU6prAxBG6DUbQE8vg94J18c+Fl5SLEqOg08e51Qt5wlG91Ei9mzSyWyHTEPBZDENsaQ6VYgSqrYB1mTW9uKdeWSeBwOtaUydCKomj49n/vw9NPZSAIHC67cidOPGXyejFTNhFU4FImCCpwKRRKzzRERDc0RUOlWLGkjK4Xh03Px17QFHuzITt36E400m57oeEc23p8VVaRmkuZDtOrzKhfefWx2Drtw+P70mBZgnNPncLJx0W7PkaRFYu4bZBZzEBwCx3Nslpx+3uLYhFC4PK62o5JCBmKWRQApAr248+vuBZVRUV6IW0R9Z1eb7s2OXZoimZrWOV0spieduOZZ4rgOAbTM5uj9dBacDgdZvpuj9QqNRTShWZf7mAsuK70aUIIzj51Cj97YM6yXXCyOGlP989WA1VW29pkAaZhVjAWbEZTCSFtvZZD8RAYhkG5UG7WjIfioXVFsXXNwMf/7l489sgRg7gH75/Dm956Ds45f8uaj0uhrBkywenwEzosynChApdCofQMy7JQ0IPI1eyFZb8YhoFCpoB6pW5OHgOevpxOWQcLtHfCGVoUqV6r24pnVVahyEqz9YhhGLj/yUU8M5eH08Hi7OMT2BbzgRCCC8+cwYVnzvR8zk6LDrqmwx/2Q1VUi5ut073scmyYE5JgLNhXXXEoHoKu6ahVzAl/wx17WK+pu4M4crbUHjqcDhSzxbaIdSdDsJWmVJ3olkYqyxoIAW78g1Ph7SGFvEG9Wm8uEAgeYWg13RuRWqVmcX1WFRXJWhKJ2cS6rq/XXLsHlaqChx4zj+3z8njDjacgHOxtUabb95mu6V3ThRufsV4yRnrl0UcWLeIWMHvg/td/PkoFLmVsTKq+pWxOqMClUCg94w/7m8KmG/1EbDrRSA+tlo8o1FqlBk3Vem7TE4gEUCvVLGnKLMcOtM1P69h6acliGAa+etc+3PfEQnPbzx+fw+tfeBKO3x7u+7zdJtecg0N8Wxz1Sh2apsHhdIB38qbRkKaDZdm+awEZlkF0SxSaopk1nPxwajgbnLZzGk8dTkFtiboyhODYqB8Mw8DpdsIf9WPxucWO422N2HoCnp4dg1mOheAR2qJ3laqOs87bhtednsAusfd+zOVC2VKTWsqVEIgG4A+vXte9GShm2l2adE1HOV9GIBpY83EFJ4c/+YPTkcnVUK2piEfdfWWFOHiHrWEWYYi5iDZilpL2WQ3pVBW6ZoAsP7WJjahRKBTKkKECl0Kh9IzT7URsa6yZQshyLOS6bImcuX3ugUSl5JpsEbcN8qk8vEFvT5O3hqPvWlyU+0HXdaQOtxvZtI6jkWb57HzBIm4BQNMNfO2efXjfDef1fW5e4M2obMVab+oL+5ridaWgYzr0Hu4VQgg4fjQ/H2GfG9decBJ+9sR+5Cs1+F1OnL9nFlMtixTdao3D8TA0XWu2JhLcQl8T/8hUBJnFTNN12Ol2YmZXBMed2t81ZOgGssls2/Z8Kg+3zz2W2tRJo1OkdFAZIb1GbFfCcizC8TAyixnL9shUZKiLO51ITHlst89u99jkwGMAACAASURBVCG9kGouyLi8LoQT4ZH3HKZsTuh6CmWSoL+oFAqlLwS3YKm31FQN5UIZuqaDd/Jw+VwDiRzYRXMAMwKqa2YfzVq5BkU22224vPbn5Ryc6QI9RJS60jEdljAE0S3R5tiSOfvoS7ZYh6LqfdcbE0IQnYkin8qjVjbNfNx+91Ci1OMiFvDgpeed0PF+whB4g962tk4OpwOCtz9BuxKGNV2HDcMw07rX6H6rqmpHIa7K6lAE7tOPJfGlf7ofCwcLiCQ8uO6PzsSp528d+HnWQ7VURTlf7tpfetAtjNaCJ+CBw+kwxSMxXdYHkamyFk48JY4zzp7Grx6Yb25jWYLXvv44S7ZBtVRFWk9bvn8olGFA2wRRJg0qcCkUyrpgOXbgKZZy3T56C5jRR8IQpOZSlskc7+IR2xIbS0Slm6twIBywTNADHnv3VI/AgWPX9lPMMIzZFmcTE4wFQRiCSqECQzddlEOJ9Zn5tNJwEl8r3fqVMms0UevGoWey+PCffR9y3Yx+losy/vHmH+GdH78Sx58xPfDzrYVSrtQW1SaEWMSu0+UcqGHdeljZU3hcMAzBm992Du78roTfPJWB4OJw6eWzcJD28pFGWQfNEKAMm0kVuJTNCf3Go1AoE0c3t+ZgLIhyvtxWFylXZRTShYGaufSKU3Da1ugB7Q7Fx24L4ZgtQTx9OGfZ/sLzdtIoyzoghCAYDSIYHf373wsMy8AX8qGYtWYmuLyuoUQof/zNp5ritoGhG/j+1/ZOhMA1DAO5VM52uyfgASEEDt7R/JtihWUZXPXi3bjqxebterWOxQNVJJ94Fs/+9GGkfnMArMOBxIm7cOXbr6cClzJcyAQL3EkdF2Wo0G88CoUycXSsGSOmYEzPp23vbnULHiWNNOGVdbjhRLit3pdlCP7w6pPww18+B4eqwOPkEAl5sFtMjHLIlDEQiAbAcqwZZYYBwSMgEAkMRcCVC/afhVK+vTfwONA1vWPKtuAW+nJLpwAcx+Inn/gK9n3/XovQmHv4KRT2z+M1//7/wHTJIqBQ1gtdiKJMElTgUiiUsdNoZUMIgdPthOAWwAt8m2D1h/0ghHQUwIQQaJpmpjGP+MfW5XFhZteMmVptmJG5TmZWDAyclnBBU5fTHQ0VyQNJxLfFB2YI02ix1GhJ4/K4TDG1xhpSSu/sldL42g+eRjpbRTTkwiuu2o09O8MghMAX8o2kPnrHcRH84s5nbLdPAgxrlhrYiVwabeyfR/77buz7/r2290k/fRhP/+RhHHvJmSMeFYVCoYwH+itCoVDGSrVURXo+3ay7YzkWsS0xxLbEkFvKoVY1jZO8AW+zFs8b8KKcL7cdq1apYU6aM11Pp8IWM6xRwHIsvIHV6wUbLtStKLKCYq6IQGTt7VBaySazlteoKBehKioi05G+xL+maqgUK9A1HU6Xs+cWO5sV6WAen/jiI9CXhdvBhRI+/p8P451/cBZ2bFlfrXpVVvDE/jkUKzW4nDz2bJuCv4Nj+RUv34NH7zuMxx6Ya27bfmwYv/P609c1hkFBCEEoHrK0TQIAj98zNvOm1VBVFfVqHR6fvYvxONl//14AndNEc4eS9ndQKAOCBnApkwQVuBQKZWxoqmYRt63bEtsTCE/Zux/zAo/Y1hiyySxURQVDGEuvW03VkDqcQmJ7YiIcWFeiyPY1xqqsDuT4mqrZLgBUS1WoitrzayLXZSwdXLK8tr6Qbyx1zhuFH993sCluG2i6gbvuP4TXvqyzE/Rq1GUFdz38BKot9elz6RwuPW0PAjYil3OweNs/XI4H7n6u6aJ87vN3gndOzs++x+8By7IoF0wXZcEt9FRzaxhG81pmORZur3uomQmqquKTf/VpfPXfbociK9ixezv++tPvw/Gn7RnaOfvF4TbN6wzDXmiEt4+/7ppy9EJdlCmTxuT80lEolE2HXJNt24MosoJauQaXt3M/XcEtYHqHOWmbf24euqxb7jcMA5ViZWAR0UHSKXV5UP15u/UN1VStZ4GbWchYxC0AFLNFuLwuOF32btCbnUrVfpGiXO1snNYLT88tWcQtAGi6jif2z+G8E0Tbx7Acg/Mu37Wu8w4bwSP0lRVgGEabg3rRWUR86+DS+1fyr393K774L19p3n7uN/vxpmvfitt++gXEpqLrPv6j37sXd33qDpTSOUwfvxPXvP/1CG/rryb/9Jdfhgf/607oqtYmcvdceS52Pe+UdY+TQukGFZKUSYJ2/6ZQKGOjW6QmNZ9CvdqbIU6nHprdemuOE3/E3/bcGZYZSDsUTdW6mm31Km4Nw+joZj0uM6+NwPYZ+/raHTPrS0+u1O0/C5X65novSrlSm4O6UleQT+fXdDxDN1DMFpFZzCCfzreVDgDAf3/p223bCtkC7v7uT9Z0zlYe/d9f4Odf/B62nrkH2885Cc/evxefuvbdKPX5fLacshuvuuVm+KfMGmvWwWHqhF14wbtfi+v+6R1jaZ9G2VwQMpn/KJsTGsGlUChjg3fx4BwcVMUm6mUAhUwBsS2xVY8juASUlfaUXME1mfWivJNHfDZu1uIqGjieQyAaWLe5Tr1ax9LhpY7utKF4qOcoccPMS9f0tvu69XTd7Pz2RTvw1HNZPH3giEA5dkcQL3je7LqO6+1wLXs3aCRd13TUq3UYhgGny9nTdakqKor5EvTlflwEAFmOG61l0cXQDSwdXrIspBXSBQgeweKAXqu095cFgFrVfnvP5zcMFHIlvPB9r29uO+O6y3DHn38CD95xFy6+6aV9He+4y87GcZedDblSg8PlpK62FApl00IFLoVCGRsMwyC2JYbFg4u2QsoummJHMBaEIiuWSa4/4p9oQyTeySM6s/70xgaGYZj1zDbi1hvwwu13951W7Av5kE9ZI0mcg4PgndzXddw4eRZvu/EMPLg3iVS2iljYhTNOiINbZ/rsMTNxHExmUGwRVTzH4YTtW9Y75JEj12QsHV5qfuYJY7bZ6mYKJ9dlLBxMWlLmDZiO5ASdndW7UcqXbLNEauUalg4tITGbAGEIznre6bjnez+17EMIwRnnn9b3OVuplqqYPXMPDMNoilFvNIiL33wtCgcX13xcfsTmehQK7YNLmTSowKVQKGOF4zlbIdW4rxcYlkF8Wxz1ah26qsPhdIzUidUwDOi6Ppb2RA1URe24IODyra1m1hfygRCCUq4EXTddlEPxEE13XAWOY3DuKVMDPaaDY3HpaXuw79ACitUaXDyP3VsScAv8QM8zbBo1tK0LWoZubpvZOdNRqGaS2bZ68FZ8wf5bL3Uye2vcV6uYPgDv+ug7cGj/HKQnzLZLDMPgrX/9JzjxjOP7PqflHMslACu/M6LiVni7+A9QKJMGAcBMqMKdzFFRhg0VuBQKZex4Ah7kckXIdRkcw4AlDBiWQTDau1svIWTkbYEAoFKsIJvMQtd0EEIQiAZG0ud0Ja2i04ABFQYasdxKpbqm12aUfVspq+PgWJy4o7+IbbVURTFbhK7r4AUegWhgrCnmnRZiDN2AXJc7XqdyBzFKGAaRRLjnbA3DMFCv1s0xrFKi3zBri01F8YUffhYP/ORBFPMl7DnlOOw8dntP5+tGJzFvaDpOfclF6z4+hTJKJlTfUjYpVOBSKJSxoaka6tU6DifTSJeK5kbDgPrgfZAffQjzs7M44fob4Y7HxzvQDtSrdaTn083bhmEgt5QDwzLw+EfbK5PlWAgeAdVyFcqKmXs2U4CDd8DnX7+JFWXjUClWLNenUlcgV2XEZ+Nji8J3y3Cwa/WjqRrqlToYQmAXvw1EA3D73D2dW9d1pOZSqFda0pIJOgpd3nkkOu4UnLjwigt6Ok+vuP1uFLPFNsE/e/IumiVB2XBQgUuZJKjApVAoY6FSrCCzkDH7XwKIOd1I16vQCcCeeS7qjz2C+fvuReapp3Dx330EzqB9NNcwTBfUcqEMQzd7aQZjwaG1DGmlXGg3tmpsH7XABYDIdATzBxeh2Djr5jIFKnA3GXZp/4qsoFqqjuX6BMyFGKfbaRWZABxOh0VQAkC1XEV67kifbAawiFzOwcHr6/15FNKFtvPCAAyW4IlkFkvL9c0xl4Azd20FP+T0b5ZlEd8WRzaZhVJXzIWxgAcO3gGlroDjOWoURdkw0EuVMknQJUIKhTJyVFlFeiFtaePDMyxCvJlmSAgBf8yxAIB6Lov9P/5hx2MV0gXkU3mospn6WC6UTSfhFS2CDMOApmoDbR00ae2JGIbpmKqpdalfpByddKrJ7tW8bRgQQhCZjliuU6fLiehM1CLmdE03TdNaPksEBCwIOAcLj8+NqW2Jvhay7AylDMPAY6kcFipVaIYBzTCwUKnikfnkSD7HnINDbEsMM7tm4A/5kV/KI3kwiYX9C0gdTnWtO6ZQKBSKPTSCS6FQRk6tWrNNC3QyLbWBLZPLei5nexzDMFDIFtq2yzUZ9Wq9Wc9XLVWRWcyYxjYE8If98Ifbe9H2i+AWUClU2rePsT2R02lvJuV09h+N0nWzrnijRpEMw0C1VEW9WgdhCDx+T899gI8GCEOga2ZTncY7SEDG/hqwLIvYllhTvNml48p1uWO7q8SW+Jqeg911XFU1LJXaP8OH0nmUanX4RvRZlusy0gtpy7ZapYbcUg7hRHgkY6BQ1gx1UaZMGFTgUiiUkbOaYDI0DfWnnmje9m2z7yFq6EbH+rlGlEquy0jNpVoeZEZ9GYZZt3mS2+eGXJVRypea2wSPAH/Yv67jrgeP1wWf34NiS/o0x7GIxnufJFfLVWQXs9BUDQzDIBANwBvceOnNuWTO8t6UsiVEt3RvR7PRqVfrKGaLUGQFinYkUtv4mHAMmZj2Wd3qTLvdt9YFF0/A0xbFVW0ipA1HWFnRgBGZGdfK9j11q6UqkBjNGCiUtUKw9s/lsJnMUVGGDRW4FApl5AhuAQzDNCM4jQhTRVNhyHUUvv0NaMkFAED0pJMxe+lltschDAHLsbYpl416PrsIK2DWya5X4BJCEEqE4Al4oMgKOAcHXuDH+kNPCEEsEYHH60a9LoNlWXh97p6dc+WajNThIwsCuq4jm8w2I6CroWs6FFkBwzBjrSGsV+sWcQuYEd3sYhbTO6fHMqZhU6uY/VsBQO+w8rNRUtUbrb4arXQaCG4BnGNtUxeP3wNd05FP52HoBhiWwbbZBJ4tlrHN64aTZcESAidrtvtSskUoAj/2iDeFshGYUH1L2aRQgUuhUEYOy7GIbokiPZ+GpmogMCOf4VAU22tBHDrtVNS2z8I/O4ttl1wGhrP/qiKEIDwVRupwylIv54/4m31wO9bRDbC8jhf4gRnSNEyz6tU6GMY0nek34kgIgcfrhsfbm7tsKx2Ns/KmcZau6yhmzAghy7LwhrxNAbDStVdwC4jMRMbiCLtSGDVQFRWGYUxstGE9tJpKdb68N0bKOSEEsS0xpBfSTWMol9e17nRdX8gHb9DbvAbkmoxToiHbKI9SV7B0eAlT26eGfg27vC7k0/m2N65Xh2gKZdzYmKBTKGODClwKhTIWnC4npndOmwKXIUcijG4Xdr/s5T0fR3ALSGxPoFKsmI7MLsGSgim4BZRyJRw8WMIjD2WgqDp27fLhgovNtGfDMKApGkBM4T3Oyb9hGEjNpSzpipViBZHpyMgmup3qHg3dgK7rSB5MWsRjuVhGfFscmqJZxC1gRhSzySwiU5GhjtkOlrOPWB/N7Vd6MY/inRsnGslyLOJb46hX6qhWqiAgUBUVPLu+xaTWuvJCptA1hVFTzDZFLu9wc5UdvAPR6ahpvrf8GXR5XQhEA0M9L4UyKDbAuhllE0EFLoVCGRuEkDWnG7bi4B0IROwngi6vC8/ur+PWf32y6Vv14C9TyJUIXnm9D6m5FFRZBWBGYqMz0Y7iaNjUKjXbWrzcUm5kAtfpdtpGcXk3j3K+3BYZNXSz969ca29NBAC1kn1tYS8YhoG5VAaHkhlomoaAz4Njt03D0SGi34rgEcALfNu4/JEj5mK6pqGYzELweeAcsoAZBZyDa4rclS11GoQToZGOab2U82VkFjPN24VMAeGp8MDaHPWyKLAWN2Vd15FP5VEr10AIgdvvhi/k67qA5vK6MLNrBqqimin+A/hupFAolM0I/fakUChHNbpu4LavPIWVc9Q7v/sM9hzrRiJ+JNor10xDqvi2+FgiuZrSua3LqNJq3T436tU6yvkjItfpciIQCdj2VQXMVM6Okd8+csEbrZwYhgHDMji4mMK+g/PN+yt1GaVKDWcfL64aiW2kuOZSOchVGYQh8Aa8cPvNhYJnfvEovvqWj6GwmAEhBGe/+kq85C//EOwGFhXBWBDJg2Z7GwICBgYMYhqSO3gHwvEQnIK9y/YkomkaMslM2/bsYhYuj2sgva7t6nwtEPRdfmAYBtJzadQqRxZ38qk8dE1HMGbfz7sBwzBt/YAplEmHTLCL8qSOizJcNu4vOYVCofRAuSSjWLCPLiYXKhaBC5giV1O1jtGTerVu9t1VVTgcDgRigYFNSFmHfeR4lKnThBCE4iF4/KZxFsuxENwCCCGd035ZxmzBZEOvqZ21cg3phXTzOB6/B8/OJdv2K1aqSOWLiIdWT91kWMa2ZjNzcBGff/2HIC8LEMMwcP+Xvw/B58Zvv+vGnsY7ifACj8T2BEq5EjRVAy/w8AV9IBu0OE6VVdtiYsMwBpKqDADBaBD1St0+kkuAyFSk70iqUlcs4rZBMVuEP+I/qtPkKZsVAjKxfsWTOi7KMKECl0KhbDieeSaHu370HCoVBeIxIVz5gl3gOPtJo9vjAO9kIdfbJ7A+f3/1iHJNRvJQsjnp1hQN9QN1JLYnBuK0KrjN+uGVacqrRX0GDSEETpcTTpc12ucNeFHOl6EqasvOgD/kt6SRNmAYBqH46imxiqwgNWc1CisXygg4eKS0atv+cuv518ATd97fFLetPPzf92xogQuYkdpeXvONQDfn70FEbwFz8SixPYFyvgxN0cByLDjenBrxAr+mNOFuac+6plOBSzkq2aDraJSjFCpwKRTKhuLxx5bwjx+9D5pmiqEHH1zA3r0p/PnbzgVj8wvLsgxe/qrj8ZXPP2bZfsrpCezY6cfK3GUH7+gYqSxmi20RJcMwUMqWEBpAbSMhBNGZ6LpdlFdSKVaQS+agaeYEPhQPrck0h2EZxGfjKKQLUOpmdNcX8oEXeOi6jtxSrrlvwyCol8l8tVS1rXMM8DxStXaB613n66F1EMidtk8SqqIim8xCrslgGAbeoBfeoHdoEX5DN5BP55sRSZfXBV/INxKRxvEcXD4XqkXrNeD2uQdan8qy7EB7Vzs6GHkxDDO2+n4KZdjQVGDKJEEFLoVC2VB8+UuPN8Vtg8ceXcJDDy3gzDPt+5te9eLd8Pqc+Mld+6EoGk44KYZrrtsDXVWRmks102I5B4fITKSjWOgUmdG01Y1qeoUQsubJtmEYKOVKKGaL0DUdvMDD7XMjm8w299FUDam5FGJbY2sSzizL2kYIfSEfnG5nU3gJHmHdIsjBsmAZxtK7dVsiiqC33WConC+jkC2Yz9vJIxgPdoyqixecDMKQtrrhYy46bV3jHTa6pmPp0FIzgq5rRxYV1tvT2Q7DMJCat7p6K3UFxUwR0Zmoxa18WEQSEeS5PKolU+S6fK6OhnKTAufgEIi216yHp8IbokUThdIvBJMrcCd0WJQhQwUuhULZUCwm7fu0JhcrXR934SWzuPCSWetGB4vpndOQazIIIeCdfNd6RYfTgXq1brt9EijlSpYoar1atx0vYJreCLODFSi8k+9YjyzXZEsUsFV8Cm4BebQbWLm8Lpy7NYaFdA6ariHg9SAWbBf/5YLVabdWqSF5MImp7VO2EbMtJx+Dl/71G/DN9/0r9OVFi+1n7sE1f3VTf094xFRLVWt6+DLFbHEoAleuy7au3o12VoNKze8GYQiCseDI0/QbKLICuSpjMVfF3Y8tIlusIxZy4erzdiAS6JwF4Q/7wQt800XZ5XNR8ygKhUIZEVTgUiiUDUU06sLCfLvIjUbX1uaFYZieI5n+iB+1Sq3ZVggwxe0wxMVaKGaLPe/bS3uUQVHKlSxR5EK6YIkA8gKPUCKE7OKRfZwuJ0KxEBiWwa4tia7HL2ban7eu6agUKx3fm3N+9wU49pIzMP/Ec3AHfdh22m4wXWo+JwFdtzfy6mTwte7zqZ2PaxgGqqUqHOHJWNwZBo3rNlWU8YWfH4KynDny3EIBTzyXwc2vOQtBb2dXasEtrLu8gELZKDCTGsKlbEqowKVQKBuKV73qRHzi4/dbSmePOy6M08+YGvq5WZZFYjbRNFrieA4ev2diTGM6CSA7RlUL2KgZbcUwDKQX0pjZNdNM2fQGvHB5XJDrMhjWbJXSazpnpxTx1YRfcCaG4Eysp3NMAp0yBYaVQdAwW+rEWvrDNh6nqRpYlp0Yh2dFVpBdzJrXH8PA7XM3F4x+8XS2KW4bhN0snto3h5OOicPtc9PUY8rmZoLbBNEc5c0JFbgUCmVDcdrpCdz8rvPxox8+h2pFxc5dQbz4Jbs7uigPGoZhJiZiuxJe4FGv2Kckt+3r5JFZzMDBO+ANeIcmNBTZvseorult7ZhYjoWL6z8S30gFXcmkpI53wzAM6LoOQsiqCyWCW4Av5LNE6ju1QhoEDt4Bf9iPQqbQcTz9Ui6UkU1mm/XP/oh/7DW1mqoheTDZXBDRdM3yGhdq1rTwV507g9mIeZ1mFjLILeUwtWOqq+szhXK0M7ECl7IpoQKXQqFsOPbsiWLPnui4hzFxhONhJA8lLenHvpAPDqcDuaUcdF0Hy7KmGVW+1NynUqwgvjU+FJHbTbQNKvIdioeQPGh93m6/e01O0aNEqStIz6ebiwAunwvhRLjr6xKMBSG4BdRr9WakcZjR+EA0AI7nzOunJSIejAXb2kitRq1SQ2bB2k6qkDaNwcbZ2qhSqnSN9oc9DhzOmgsoz9sdaorbBrqmI3U4hcRs91R6CuVohWByU5Qnc1SUYUMFLoVCoRwlcDyHqe1TzQk7L/DNKJvHbzoPpxfSqBSshlxyTUYxVxxoq5QGvMDD6XK2mV15Ap6B9TLlHBwS2xOoFCtNF2XBI0x02qiu6Vg6vGQR5dViFVlkEZmOdH2s4BFG4mDcwOP3wO1zQ67J0DUdDqdjTW16Vl53DUq5ErxB79ANqzqxWir7hbvDeHapglJdw+5Eu4M3YC5WUCiUoxdRFM8BcB+AnZIkPTeC8+0A8AYAVwPwAmABHAbwZQCfkSRJHvYYNjKTUThGoVAomwS5JuOwdAjlQmn1ndcAwzLwBrzwh/1tKaS6pjfbrayk1ThrNXRdRylfQiFd6NjDtkGjt6/b7wbDMs3euYOO2LEsC1/Qh0AkAJfXNdHiFjAdru2MvirFSlv7okmAEAKnywmX17XmHrTdrhO7FPNR4RS6R6J9Lg43XLgVF50Qh7BKXTKFslkhE/pvgNww2MN1RhTFNwJ4FIAO4ApJknZKkjQL4PcAvBzAPaIoTna/tDFDv6kpFAplRNx1+4/wybd/DNVSBQzD4HfedB1e+74/HJlJVWYx01E8MT3WMDfqFVvb1bh97q49PhmWQWTKjEre9bUH8MOv3It6VcFJFxyDV7/9KjhdvbVPMQwDqqxC0zQ4eMfIjLKGQTexZ8AAOQoT6wSPgEqxezuvcSB4BHiDXpRynRedduyawvEnu9ocwVuPQaFsZibEL24oiKJ4OYA3juhcHwDwfgCvkiTpq633SZL0tCiKnwDwdQAfBPCnoxjTRoQKXAqFQhkBTzzwOP7hTX8LY9npWNd13P7PX0V4KoKXveHaoZ/f0I2O0VvCEHgD3p6Ok1vKtfVirRQrEDxCMw26E//zb/fgs+/7RvP2bx4+gGceO4T3f/kNYFdJVzZ003m59TkEY8GJNfxaDV4wXaJXCl1e4CfGlXvQuH1uFDIF22yBcQvEUDwEl9eFQqbQZtTmdDmb2RDeoBeKrFjEMC/wCE8Nx+iLQtkIEEyuydR6hiWKYgxm1PSDGEHWqyiK18MUt19ZKW6X7z8GwN8v33wRqMDtCBW4FAqFMgJ+8s17muK2lbvv+NFoBC46RwwDkUDPaady3b7sR67JXQWuruv40t9/t237I/+3D4/fK+GU5+3uet58Ot8m0HNLOTicjg3Za5RzcAhPhZFZyDRFLufgmpHuoxFCCBKzCaQOp5o12YQQhKfCQ6m/NQwD5UIZ5XwZhmFAcAvwR/wdFxAEtwCny4lyvoxSvgTDMOB0ORGMBS3ZCaF4CP6wH6qsgnWwa07ZplCOGggmtyykz2GJovgRANfC1EgeAA4A7oGPq/28YQAfW775wQ67/Q+AY5b/pinKXaDfyhQKhTJkFp/aj8KTzyHmcCCnqlBaonZT22dQLpTB8VxfvV/7hWEYW7MnQkhfbsOdxMFqhlHVUh3Vkn0Lo8x8ftXzdqrRrJVrFoGrKirq1ToIIRDcwsCMrIaB2+eG0+WEXJNBCAHvOnqjt7quQ1VUsCyL2NYYVEU1Dat4x9Deo2K2iHzqyLWl1BUodQXRLdGOnzNCCLxBL7zB7hkNLMdu6BR5CmXQHC0pypIkvR3A2xu3RVG8BMBdIzj1+wBEATwsSdITHfYJtvz9+eEPaeNCBS6FQqH0iSKrkOsKPL7VheFDt/8I33z3p2BoOna63VANA/vKZVQB/OFfvRFnXHp2s3WKx+9BKBFak8g1DAPFbBH1Sh2EIfAEPHB5rOMLT4WxdHipmSJKCEFkOtJXBMoX8iE9n7ZsIwxZNT3Z7RMQSviRXWzvqbrlmPjqJ+7hJakUK0gvpNEIVjMsg9jWGHhnbzW+44Dl2IlvZ7ReKsWKpf67eZ3zw5sRG4aBQrr9WqtVapCrMpzu/locUSgUyrAQRZGHmQoNAP/XZdcXLO/3JIDPDXlYGxoqcCkUyqZHkRVkk1ko6HWPnwAAIABJREFUNQUMy8AX9tnWpCqyin9973/hu/95DzRVw+xxM3jnp2/CrpNmbY+bn0vhW++5BUZLGxKOEIhuN6au+S2ccenZlv3LhTJ4gV81erQSwzCQnrfWp1ZLVYSnwhbhyTnMNkJyVYZumG2EWLa/KJTb526Kh4bZUygRWlUkE0Lw5o+8En/zuluhKUfcg69+3UXYfZr967fyvPl6e6TXtbzIoKmaRdwCpmt0ej6Nqe1Tk5s+dxSTSZbxs+89jdR8FjuODeKYE83063KhDJZjEYgOL8NO1/WORl6a1u5eTaFQ1gf9il0XLwTQKOR/uNNOkiT9GsA7RjKiDQ4VuBQKZVPTcAVu9MLUdR3ZxSwIzChoK7d+8Hb8z60/bt4+8NQc3n3dR/Hpn3wQwWh7D9n5vc9At2kF42QYXPXKK2zHU6vW+ha4clW2NZDKJXNw+9wWcUcIaUavDMOArusghPQlAD1+z6oRWzvOuvxE/P3/vAV33/5A00X5t152Rk+P9YV80FStae5DGIJwPNxs8SLXZNiVGauymQq7kdJJG9H4Uq7U7GccToTBbaAWNc89lcLf/dn3US4eqdm++OoduPJas3ysUqwMVeAyDAOGZWx73G6k15FC2QgQAMyEKtzJHFUbV7X8/czYRnEUQb/lKRTKpqZSrNhOgovZokXgGoaB73/pJ2375VJF3H/nr3Hlqy9su0/oJAIJgS8agl3HnrVEGlXVvoetruswdAOEbT9muVBGbikHXdPBsAxC8RDcvsH5aBiGgVq5Brkmg2EZuP1usCyLY07dhmNO3db38QghprlPxN8UrK31qqRLAVi3+yaRlbWj9WodyUNJTG2fGkq96s9+cC/u/PrdUBUV519+Dl74qivWHfH+7N/8zCJuAeCe7zyH48+IYduu4QhbwzBQypVQq9TMWtqAF4WMNU2Zc3BHbZ0zhTJONta37MRxZsvfSwAgiuIZAN4K4FwAAoBDAH4A4BZJkhZHPsINBhW4FAplU2MnbgH7NEalrtjuK9fst287/ThMn7gL849bF2TPuO75CE1F2mpZAfQUGVVkBZqigXNw4HiuY3owwzK24q5arjbrfoEjqbwMywzEkdgwDGQXsygXys1thUwBiW2JdUfPWJa1Tat2Ck5wPNesLzYM0zfa6/dMpKBRZKVZLy24BUuE2a4fq6ZqqJQqPbdz6pXb//2b+Mg7Ptm8/cNv3A1p77P40w/+0ZqPqak6DkoZ2/vm9xexbVdg4G2BDMNAZiFj6bNbRRUujwvV8pHsBlVRkTyYRGJ7ou/0fAqF0plhriP+v9e/as2P9fl84LjJlTuiKDoAnNyyqSKK4jthGl39Bcz+u3UA1wH4LIC3iKJ4nSRJd458sBuIyfvVp1AolBHiEOzbk/CC1ZiIEIKTLziubT/CEJx4rn2LG9bB4fpb34s9V5wL3i3AFfDi3BuvxtUfuAlunxuheKgpQBmGQXgq3FVgNibxC88tYOnwEuafm2+2yrGLvoZi9oZV5Xy5bVu37f1SK9cs4hYwRXQ2mR3I8e0gDEFsSwy8wKOoyJivlTBfK2F/No18sV0wjpNyoYyF5xaQTWbN93P/gplivUynRRfDLuS/DmqVGv7pvZ9p2/7lf/kaDj5zeM3HZVgCt9fe2Mvtc8DlcQ08PVmuyRZx26BV3DbQVA2VQvu+FAplbTTKXIb17ygnDqDV9e71AP4KwO9IknSrJEklSZIUSZK+DOAtMNsDfUsUxQvGMNYNw+QuaVAoFMoIcHlc8Pg9FkHGcixC8VDbvm/9xGvxnus+igP75gGYEdI3//312HnC1o7H90aDePWn32l/X9ALT8ADXdfBMMyqP+SlXKlNOBazRTicDoSnwuAFvtkixxPwdBTLncx35JoMVVHX3dezY6/cDtsHgaEbqFVq0IgB1dCb5biyouLJZw/i5N074XaNv1+uqqiW6DnQYoa1wzTDaryPKxm0G3RyPmUR1q0ceuYwtu3asqbjEkJw9fUn47ZbHrRsn9kRwEUvOhEenzDwSWurcVlP+1OjKQplw/ChW7+65sd+4WN/g8VDBwY4moETXHH7/wH4jCRJdm7KtwL4GwARAP8iiuKZkiTZr4hucqjA7YIoijsB/C6AF8F0N3PCLDOYA/AdAF+SJOnZAZzncgB3AnitJEmfW+/xOpzjXACvBnApABfMfH4FwNMA7gBwmyRJuWGcm0KZZAghCCVCcHldkOsyWJaFy+eyTV+MzYTxyR++H4/89ElUSlUce+oOzOxKrPv8vaZK2kWjADNi6vF74Av54Av5Vj2O0+W07SurKioW9i8gtiUGp2vtbVQ61YkOq9+prutYOrjUFNAhXoBHdyBVr8CAKehT2TxmJ0DgdhKUqqJC13WwLItQIoSlQ0vQWgzK/GH/wFvbRBNmiyhVaa/hnp6dWtexr37NyXDwLH78jadQLcs49tQEfu+t58HrH05LJNbRX7rxJLeOolA2IhvM6mCSWClwAeCf7HaUJEkVRfEHMOfzp8FsG/S/QxzbhoUKXBtEUXTBbLj8pwBuAXCjJEn7lu9zArgGZvrA+0RR/GsAH5IkaU3LwaIoegH820AGbn/8rTA/KBfBHPOHJElqFLBHANwA4B8AfFAUxTdKkvT1YY2FQplUCCFweV099SN1unicc8UpIxhVO6STjUefEwtfyAe5Zu+8bOgGMosZTO+YXsMITdw+N4qZokWgNc47DIqZYlt0mGdY+DgeBdXcrumTscjdrR64EdV08A4ktidQLVWhazqcgnMofVvdXhduevfv41N/+VnL9mtueCF2HLt666ZuEELwgleciBe84sR1HadXeIGH2+duS1P2R/xNN+oGLl9vn3UKhdI7myCVeFisXG1ekCRpb5f9fwVT4ALAy0AFri1U4K5gWdx+G8B5AH57ZYqAJEl1ALeJovhdAP8D4C9h5s+/eY2n/DCAHWsecBdEUdwF4B4AFQCnSJI033q/JElpAB8TRfFbAH4K4HZRFF8pSdLXhjEeCoWyPtx+N2qV9shrv+7HhBBEpiPIp/IoZott96uy2kybXgssyyK+LY7sYhZy3XRR9oXsewsPgk6pzw7mSFTP7+2/rdEwcLqsZlgNPCvMsFiWHdrr1coNf/YqJLbE8IM77oKmajj/+WfjupteOvTzDhpCSDNNv1apgTAEHr8HLo8L3oAX5ULZbLnk5OHyuehknEIZIASTa+qzAT7pK90mO/bBXWZ/y9+nDXgsRw1U4LbzHwAuA/CeDvnvAABJkkqiKL4CwD4AfyyK4rclSfpePycSRfEiAG9a12g7H9sD0058K4DnrRS3rUiSJImieMPy/v8hiuKPl8UvhUKZIFxelzVKRUwjKZen/2gUIQROl9NW4A7C2INzcIhtja3rGL3SKfVZX641noqGEQ4MJ3rcLw0zrMxixnRRJgRuvxuhWHvN96i44ncuxZUvv2zDiz5CiG2aPsux8Ifb+1RTKJTBsdG/P8bISsv51ebfrb3P1ldLchQzqQsuY0EUxbMAvHL55pdX23851fc/lm/+aZ/ncgH4dwxvcemNAEQA+yVJ+vlqOy/bjT8EwAPTwY1CoUwQuqZj6dCSJQXTF/TBG1x7lE9wC3A4212kfWEfCCEwdAOaqnU0pZoUfEGf7TdpMBrASbt3YseWqYmafHEODvGtcWzdvRVbjtmCcCI8ll699Uod88/O4/DTh3H46cMopAsT/15TKJTJhCGT+W/SkSSpACDZssnebMOefvbdVNAIrpUXt/w91+Nj7lv+/8yue7XzQQBrs6jsjcZz6fV5AOZzOR39PxcKhTJkcku5NoOiYrYIp9u5pggucCSamFvKNXuyegIeeINe5JZyzeguy7JmC6MB9y4dFLzAI741jtxSrukCHYwF12WUNQrGKboVWcHS4aWmoDUMA/l0HoQhQ6uVplAoFIot98DscwuYRrDdaHW2nGh76HFCBa6V1lD/FgC9OCQ3UgV6nhGIongOzF5WbwPw8Z5H1x+N59KPiO77uVAolNFQq7bX3gJmFG6tAhcw0zcj0xHLtkKmYEld1jQNqbkUEtsTcPD2fYPHjdPlRGLW6mitqRqqpSoMwwAv8BMveEdJpVixjdaW8+WJEbhyXYZclUEYApfHNTQXbgqFsn4mKElmI3I3jgjc1RweW3/o7hrKaI4C6K+FldY61Rt6fExDQHZzPGsiiiIPs4/VfQA+2fvQ+qbxXGZFUby4x8f09VwoFMroYIj91/WgU1vr1TryqXzbdsMw2hxqx4Wm6zhweBF79z2Hp58+iHy2PbVWqStY2L+AbDKL3FIOyYNJFDKFDkfcfBi6fSqybkyG23QxW8Ti/kVkk1lkFjJY2L/QZsxFoVAmA0IAhpCJ/DdO4S2K4ttEUUyJovi0KIqXdtn16zBbdwLA8asc9pyWv+9Y1wCPYqjAtfJoy9/vFkXxxh4e84Ll/2/p8RzvBXAMgNcPuTlz63P5siiKXdOORVFkATwfgArgs932pVAoo8cTaHcBJoT07aDcDUVWsHRoqeP9k1CfqWoaHnpCwv5kCulyGfPFAp46MIf0gtWnI72QtrSGAYB8Kt+xD+1mo1PbIWFCegXnlqxt2TVVQ2ZxpRcLhUKZFMiE/hsXoiieCLMNZwSmJ86XRFG0HZIkSQsAPrd8c1oUxd0djsnjiO74qiRJTw100EcRVOBa+RaAQ8t/8wA+J4riT0RRfIkoim3p3KIongbgJQC+CjMq2xVRFE8FcDOAD0iS9OTghm3LLQAas9EZAPeLovgFURTP7rD/TTDTHt4ygrFRKJQ+8Qa98Ef8zbpN1sEiuiU60JThTmmrDQT3+MXPgYUlVGWrSK3rGubT2Wa7IMMwoNQVu4dTgbuMy+OCL2xNReadPIKx4JhGdIR6rW6/vVqHPiH9jCkUipVxR2o7/RsjJ8KqsacBRLvs/x4cyb78/Q77XAOzjLAA4C/WOb6jGlqD24IkSYooim8A8N848tpcuPxvURTFLwL4nCRJj4mieArM1IDPwBSFXUMbywL5PwD8GsBHhvUcGkiStFcUxQ8DeNfyJgbA9QCuF0Vx7/JYvihJ0oIoitcC+GsAr5Uk6fP9nOexxx6DKIrrGeeaH0uhbCYIIQhEAvCH/TAMY809arvRKW0VAALRwEQI3FLZ3jRS1jWoigreyQMwU7ftng+t4zxCMBqE2+uGUlfAsAwEjzARbtPdru1auTbQrAUKZRJZz7zK5/OB40Y7vSeY3BrcAQwrbnP7uR4e9zjMQFNjCPMAUp12liRpSRTFl8Bs2flWURRvlyTpocb9oijOwIwIlwBcJUkSNZjqAhW4K5Ak6TvL/W0/DetFnYBpCvU2URQfhplu8EpJkv63x0PfDOAkAGdJkjSSQiJJkt4tiqIC4J0wI9INToD5Ifnb5ecSB3C2JEnPjGJcFApl7QyiR20nOvXFdXldE9NHlOc5oNy+nSEEnMP8SSOEwBf0tdXccg5uYp2gxwUv8OAFfvUdR0g307R6rU4FLoVCGRqiKH4EwLUtm2ZW7HKPKIqLLbdvlyTp7SuPI0nS46IovgNmoCkP4A9WC4ZJkvTL5UzLTwP4P1EUPwdTKM/CbOF5EMDLWoUvxR4qcG2QJOkboij+GMAXAbzIZpfTlv+/QxTFz8JMOe5YHCSK4vEwa2//VpKkXw98wF2QJOn9oih+GcC3Ydb+tsIBOGv575+Kovj3AP65HwF+0kkn4Ytf/OJgBkuhUMaK4BHgDXlRypaa2xxOB8KJ8BhHZWVLPIpUtoDWWQIBkAgGLOna/ogfIEApV4KhG3C6nAglQh2jg7qmo5QrQVXNNkPeoHcoUXLK6jAsA47nbE2l6HtC2QysJ7vt+uuvx5NPjrrSbOzpwF3ob1zLYrVNsK4FSZI+CuCjfT5GAnCFKIp7APwWgBjMlp8vkiTpgUGMazNABa4Ny4L00wACMNOTEwB+D8ALYY2EugD8CYCXi6J4tSRJD9sci4FZn/sbAB8a8tDbEEXxxTBbEf0KwEthflhuAHDeil2nAXwMwHWiKL5IkqTsSAdKoVDGDiEEoViombbKciwEtzBwp+b14HO7cPLuHZAOzqMmK+BZFlsjYSSmIpbIdiOlOxAJrHpMTdWQPJiEqhwRVJVCBfFtcZrSPCZ8IR+yi9afIUIIPL52szUKhTJ+JudX4uhg2Q+HeuKsESpwVyCK4mUAvgmzefIFkiQ1+mV8XRTFCIBXArgRVpvuGQDfE0XxREmS0isO+RYAZwM4X5KkkbqbiKJ4M4APw6y1/b3lzY8DuEUUxWNgivYbAWxvedgFAG4DcMUox0qhUCYHp8s50T1jA14Pzjh+ZUKKPXJNXrXGtJAuWMQtYDpKF7NFBKKrC2TK4PH4PTB0A4VMAbqmw8E7EEqEwPF02kKhTBoEmNgI7mSOijJs6NJ0C6IoTsM0jvLCzJW3NIOUJCktSdKnJEk6F6YAfKLl7gSAP1txPBHABwF8dNRpBaIo/jZMcZsB8IaV90uS9LQkSe+HmbZ8E8z6gAaXLwt9CoVC2bDkU3ksHlhEZjGD1FwKiwcWoWla236KbO+4XClVsHR4Cen5NOpVe2ffjYRhGKiWqyjlS6hX6xPR9qkThBD4Qj5sEbdg6+6tmNoxNdGLLhTKpoaYJlOT+I8q3M0JFbhW3gQgCOCQJEm/6LajJEk/hJnm27pfM+q53Ovq32G2HXr/4Ie6Ku9e/v87kiTZWLKYSJKkSpL0bzCfS6u7G43gUiiUDUu1XG0zmVLqSlt/VeD/t3fvYZIV9cHHv7WXmb3fd90bulgIRhQNGtRcvKIo6osICho0b66Pl2jEEA1GI8REDRrviVGTR4yJiXnViCJKQEVE0SgRxBhUigVZWFh22fuV3a33j3OGPXO2Z6Znpme6p/v74emnT52uU6d6lt3pX1fVr2D6jOkN2zh44CD7du9jz849bLpzE3t3Nc7gPBUcPnyY+zbcx+a7NrP13q1sunMTWzdt7eggd0AnZHaWJE0dzvUZ7Gnl883NVE4p7Ygxvg4YGJ2t7m+1liIZ1T7gliZTvr8nxnhRpfzdlNK5zVxYFWPs58ga2x83c01K6ZYY419TZFeG4ffqkqSONtSI6/49R5+fv2Q+e3ftHTHY23bfNmbPGzrDb7vt37v/wenYs+fOHrR2eseWHUf9THZv303/7H7mLnBdq6Tx6dQpyupNBriDPaR8HjIjcgM3UGxaMRd4cGggpXQnxWjwsGKM1U9UF6SULh3FvYeylCN/tqN5L9dWjo8e5pCkKWJaaDxBqVEW3r7+PlYcs4LtW7Zz6IFiCnOjacsHHzhIzrnjRhRzzmzbtI1d2wdnv16x9kiSrEaB/cB5A1xJ4xWcC6wOYoA72MD8s6Y3BUwp5RjjDooAd1K3ABpGdR7daDY4rAa1nfJeJE0BOWd2bdv14DTe2fNmM2/RvLYFg3Pmz2HH/TuOGpWdu7BxMNc3q4/la5YDsHfXXjbfvblhvY3rNzJr7iwWLV/Uki1rDh08xP333s/+PfsJ0wJzF8xl4bKFo/q57d21d1BwC0emYy9ZWWzxNFQm7E7KkC1paiqSTLW7F411aLc0wVyDO9jAxsnHNntBjHEWxR5VAJ9veY8a3/O9McZtMcabYown1V8vt/i5oyw2/V4oNpIG2A9cMc5uSuoh2+7bxrb7trF/7372791flDe1byLIjL4ZLF+7nBkzi+9xB7YNmrdo3ojXzpo7i1lzZjV87dDBQ+zevpvNd28e9/rVnDP33XUf+3bvI+fM4UOH2bl156h/bkNOx9535Py8hY3ft6O3klohhNCRD/UmA9zBLi2fT44xHtPkNS+kGAm/gUkICmOMpwPnU+zRexLwsSGqXlo+v6Dci7cZZ5fPf9dguyNJaujQwUPs2rbrqPO7tu86avudydQ/u59Vx65izXFrWHPcGhYsXdDUB54QAstWL2Ph0oX0z2mcuXf/nmK963gM1cau7bvIh5sPnocaSa5O056zYA6LVyx+sO70GdNZtmYZfbNGM8lHkhqb1qEP9Sb/7CtSStcAH6f4uXxgpMAwxrgAeCfFFjvnpJQmIx3lo2vlxwxR793AjcAJwOtGajTGeDLwOxSB+oXj6aCk3nLo4NFb7zTz2mSZNm3aqL/JD9MCC5YuYPGKxUPWOXzo8Lj6dfjw0Ncfzs23PWfBnIbvb+6iwaOz8xbNY3VczZrj1rD64auZPbdzE2ZJkjRWBrhHexXwKeBM4HMxxpWNKsUYjwWuKYunpZTSaG/UoO0VTVxWz4rcMONzuTXQaRRB7ntjjBeX06kb9eNU4D+BbwHPTylN/Q0fJU2a6TMbb7MDPDhFeKqaMWPGkCOkM/tnjqvtvv7Go6czZg59z4b96JtZTMfuK37W06ZPY9HyRQ2nH4cQWrJ2WJKOaP9U5KGnKDtNuRdN7U8eEyCldAh4RYzxs8BFwO0xxsuB71GM1D4EOJliS6F/Av48pbS9mbZjjK8HXl85tbRW5Z0xxtcAAyPBR20TlFK6Isb4PorR1juAPxjmvWyKMf5Kec/XAa+KMV5GERQfoNjK6JnAGuDtwIdSSuMbkpDUc6ZPn86i5YuO2mN24bKFHDp0iH179gHFiGUIgVlzZk1q4Ltn555iGyAys+fOZs78xiOejYRpgSUrl7B54+Yj/zIDi1csHnL/3GbN6JvB4hWL2bpp61H3G+2Ic//sflatW9WRWZ4ldbcQOjjJVIf2SxPLAHcIKaUvAl8sR2qfCKym2Bv2PuD9wLmjHelMKb2/vHa8fXsD8IYm6x4E3kOxx+4TgBOBlcBs4Fbgs8BNkzS9WlKXmr94PjP6ZhRZlHORRfnAvgPce8e9R9UNIbB09dJJmSK7c+vOQYH33p17eeDAAyxaNuIubg+aPW82Kx+6kr27i71yZ82ZRf/sxmtzR2veonn0zepj/979hBCYPW/2uAJng1tJ7eA2QeokBrgjSCmtB9a3ux+tkFL6AfCDdvdDUneaPXf2g0Hr3l172XH/job1cs5s2biF1Q9fPaHTZQ8fOjwouD20byd7Nv6U7T/by55j1rHy0acwbXpzvwZn9s8c95TkofTN6jPZk6QpzS/X1EkMcCVJLTfU1jUD8uHMwQMHJzSwO3jwSAbng3u2cf+PriAfPADA3ZsSO+76Ocefdh7Tpo9vqrEk9TL3wVWnMcCVJLVcU9vxTPAnohkzjvyK27n++w8GtwN23fMLttx6E8tPOLnh9Vvu2cbn//4rbNqwhbVxFWe9+jnMW+i+sZIkdTIDXElSy82ZP4cdW3cMSsxU1T+nf8ITTU2bPo0FSxewY8sODu5pnAtw37bGW35vumsLr3v2Rdx/75Epzt+87Ht88Mq3GeRKUo1rcNVJ3CtAktRyM/tnsnz18oYJk+bMn8OyVcsmZc3WgiULWLJyCTPnzG/4+sy5jc9/6pLPDwpuATbcupHP/t1XWt5HSZrqQujMh3qTI7iSpAkxa+4sVh27inw4D5qOPJnJSEIIzF0wl4c96VR+9tV/hnxkSLl//mKWPeJxDa+7K93T+Pytjc9LUi9zBFedxABXkjRhQgiE6e3/4LNg1TpOeO4ruOfm7/DA3l3MWfIQ1jz+6czon9Ww/vI19W3Ky/NrG5+XpF5lkil1GgNcSVJPmL/yocxf+dCm6r7sDWfw3St/yN5d+x48t3jFQs565XMmqnuSNDWF0LnbBHVqvzShDHAlSap52Alr+OCVF/Hpv7mMTXdtYW1cycvf9CKWrlrc7q5JkqRhGOBKktTAw05Yw4Ufe3W7uyFJHc81uOokBriSJEmSxsyZwOokBriSJEmSxswRXHUSA1xJkiRJYxLo3GzFndovTaxp7e6AJEmSJEmt4AiuJEmSpDHr2G2C1JMMcCVJkiSNmeGtOokBriRJkqQxcwRXncQAV5IkSdKYGd6qkxjgSlIbxRgBSCm1uSeShuPfVamxUP7XiTq1X5pYZlGWJEmSJHUFR3AlSZIkjZnjpOokBriSJEmSxswcU+okBriSJEmSxsEIV53DAFeSJEnSmBneqpMY4EqSJEkaM7MVq5OYRVmSJEmS1BUMcCVJkiRJXcEpypIkSZLGJNC5a3A7tV+aWAa4kiRJksbMNbjqJE5RliRJkiR1BUdwJUmSJI2Z47fqJI7gSpIkSZK6ggGuJEmSJKkrOEVZ47Fu/fr1nHfeee3uhzRlzZ8/H8C/R1KH8++qpoL169cDrJvMe264ewMXvPmPJ/OWTdtw94Z2d0FtYICr8dixf/9+brnlltvb3RFpqpoxo/hn+JZbbmlzTyQNx7+rmiLWATsm8X63HDhwgNtuv20Sbzlq/qXtMSHn3O4+SJIkSZI0bq7BlSRJkiR1BQNcSZIkSVJXMMCVJEmSJHUFA1xJkiRJUlcwwJUkSZIkdQW3CZIkSRqlGOOjgIUppetHqBeAM4FvpJS2TkrnJKmHGeBKkqSeFWM8BfgecGxK6fZRXPph4Kkxxq8CnwGuB+4EMrAIOB54KvBSYC9wVQu7LUkaggGuJE2AcXxorrbxQuD3gMcDh4CDwNeB96WUbm5RV6Ve94oxXjetfJxePoZyA/DclNLOMd5HkjQKrsGVpIkx1g/NxBgXxRgvBz4J/AfwsJTSWuBkYAtwY4zxba3pptS7YoynAq+aoOYfAC4BnpxSum+C7iFJqnEEV5JabDwfmmOM84D/BH4FeEFK6fKB11JK9wN/EmOcDlwUY1ycUnp9K/os9ZIY43Lg5cDbGd+X/R+lmJZ8KrCMYnryXcB1wKdSSr8YZ1clSaNkgCtJLdKiD80fowhuv10Nbmv+Angl8EcxxptSSp8Y472knhFjfA9wNsVnn7nATGDOOJu9J6X0V8BfjbMdSVKLGOBK0ji08kNzjPF0ioQ0AP88VL2U0rZyCvOLgffFGC93CqQ0vJTSBcAFA+UY49OAb7StQ5KkCeEaXEkah5TSBSnEsLM3AAASRklEQVSldSmltSmlxcDzx9FcdRToWyPUva58Xgi8aRz3lCRJ6hoGuJLUAWKMvw48rizuA34ywiU3VI5/N8Y4e0I6JkmSNIU4RVmSOsO5leNbU0p5hPo/qxwvAk4DvtDyXkkaVoyxjyJr+pnAMeXjAPBzioRxH00p3du+HkpSb3EEV5I6w3Mqx3eMVLlcc7uncuq5Le+RpJE8imI5wSzgJSmlk8qlCmdQfMa6GLgtxvgHbeyjJPUUA1xJarMY41IgVk41mzBqc+X4Sa3rkaQmvRj485TSh1NKuwdOppS+CzwDuJEi6dxHY4znt6mPktRTDHAlqf2Or5W3Nnnd/ZXjR8QYQ4v6I6k5V6WUrmz0QkppH/CnlVOXxBh/eXK6JUm9ywBXktpvVa28v8nrqvVmU6zFlTQ59gPXjFDnKo7MtJgBvGUiOyRJMsCVpE4wt1Y+0OR19Xr1diRNnDcCfz9chZTSYeD7lVPPN+O5JE0ssyhLUvs9UCtPb/K6er16O5ImSErppiar3lY57gNOBr7d+h5JksARXEnqBNtq5b4mr+uvlbe3oC+SWmtnrfyQtvRCknqEI7iS1H6318rNTjWeUzneWCa1kTQJYozzgacDe1JKVw9T9XCtPGvieiVJcgRXktrvVgbvabu8yeuq9W5sXXckDSfGeBzwY+Ay4KoY4weHqV7/wmpzw1qSpJYwwJWkNkspHQSur5wacQpjjHEmsKRy6tpW90vSkC4BHlop/9YwdVfXyje3vjuSpAEGuJLUGb5QOX5EE/Ujg/8N/4/WdkfSMH6tVr5rmLqPrBz/MKW0cQL6I0kqGeBKUmf4V2BvebwqxjjSnra/VDn+TkrppxPTLUkNVNe/r2eIEdwY4xLgxMqpD09kpyRJBriS1BFSSluAf6icevIIl/xq5fivW98jScP4Sfn8XeDRKaXvD1HvJRz5rHUt8MmJ7pgk9ToDXEnqHBdzJAHNc0aoO/D6VSmlL05clyQ18NHyeUNKaU+jCjHGfuANZfE+4GUppUOT0TlJ6mUGuJLUIcpR3JcDh4CXl9uQHCXG+BTg0cA9DJ/cRtLQVoxQHs4ngM8Ap8UYH1l/McY4A/g4xXr6HwFPSikNt05XktQiIefc7j5IUteIMb6E4oPvgCemlP5rlG28AvhH4HLgnJTSgcprq4BvU+yl+ayU0v+Mv9dS94sxvgc4u3JqNTCzUt4H3FspfzaldMEw7U0HXg+8BriaIjvyPmAt8FKKgPkjwNuHGuWVJLWeAa4kjUOrPzRX2v1V4G+BeRQJqO4Bjgf+L3AV8NqU0j3j6rykcStHa59CMVq7FNgN/A9wXUppXzv7Jkm9yABXkjpUjDEATwBOARYCG4FvpJRub2e/JEmSOpUBriRJkiSpK5hkSpIkSZLUFQxwJUmSJEldwQBXkiRJktQVDHAlSZIkSV3BAFeSJEmS1BUMcCVJkiRJXcEAV5IkSZLUFQxwJUmSJEldwQBXkiRJktQVDHAlSZIkSV3BAFeSJEmS1BUMcCVJkiRJXcEAV5IkSZLUFWa0uwOSpOaFEH4duHyMlx8AdgKbgJ8A1wFfyjlvblH3hhRCuBG4Kef8WxN9rxH68TTgG8NU2Q4syTkfHkPbPwIeOsTLF+acPzLaNjtVCOFm4NHDVPntnPOlk9QdSZIeZIArSVPLD4DHVconApcB0yvn3gr8C5Br184HHgX8TuXxQAjhn4C35pw3TkSHQwgnAI8F1oUQ+nLOBybiPmP0beBq4Mfl4+djCW5Lp3Pk9+o84KvAmrLcP55OdqCTgIdTBLknAr8BPKetPZIkCQNcSZpScs77gNsrp24PIdwNHFM59+mc8/ohmrgZ+EwI4Q+BDwEzgd8FnhdCeEHO+QcT0O2Xls8LgWcBX56Ae4zFfuDU8mc6bjnnDdVyCOFWjgS4XSXnnIFUPi4DCCHcCaxtZ78kSXINriRNffURxxFHIHPOHwYurZxaCfy/EML8FvZrwDmV47MnoP2xuqdVwa2AItiVJKmtDHAlqXe9q1ZeB/xmK28QQngs8MjKqTNCCDNbeQ9JkqQBBriS1KNyzj8F7q6dPr3Ftzm3Vl4MPLPF95AkSQIMcCWp191VKx/TsNbYvaTBuRe3+B6SJEmAAa4k9bpDtXLLsv2GEE6hyLT709pLZ4QQTHIoSZJazgBXknrbslp5Q8NaYzMwPfn3gL2V80uBZ7TwPpIkSYABriT1rDJj8sNrp69sUduBYiry/+acrwO+UqvSSdmUJUlSlzDAlaTe9UIG/x7YwuCtg8bj1yn2RP3XsvzvtdfPDCFMb9G9JEmSAHANlCT1oBBCP/CnlVMHgd/NOW9p0S0Gpif/W/l8ObAHmFOWlwFPA77WovtNuhBCH0VG6BOBDHyvHK1uVfvrgKcCq4F9FGuZv5lz3j3G9lZSfPGwBphFMR39WznnX9TqLaUYYe8Hrs85f3+Mb0GSpEnnCK4k9ZhyH9pPAI8qT90PvCjnfFmL2p9OESDdkHP+OUAZlF1RqzplsymHEM4F1lO8pzOARwPvDyF8K4SwepxtxxDCl4DbgAuA4ym2b7oc2BBC+ONyCniz7T05hHANRcbs9wGnACcAfwLcEUL4TgjhzLLuk4D/BU4Fngv8VwjhI+N5P5IkTSZHcCWpB5RB57EUI47nUwQ4+ymmJF+cc97Ywts9HVgBXFI7/xkGr709M4TwmpxzPZNzRwshvAO4EHgAODPn/IXKa2cBV4QQnjPGtk+hWAe9CHh9zvkDlddOA74EvIfiz/IPm2jvL4E3AwF4F/DWnPPByusvAT4FfD6EcHnZ7styzleHEBZRBMWvDCF8Pud81VjekyRJk8kAV5K6z49CCIcr5WnAPIog5y7gc8BfAF/OOW+fgPufSzFl9zO1818GdgNzy/IK4CnANyagDxMihPAaiuAW4K+rwS1Azvlz5ZcJHxpD208ArgIWAJ+oBrdl21eWo6mvA14TQrgt5/zeYdq7EPizsvjZnPOF9To5538PIawC3g88H7izDG4DcC1HppQ/tuybJEkdzSnKktR9TgceV3mcBDweeBOwEHg2sJgi2GypcvrzmRRrOwdtOZRz3ksxzbZqymRTLtfEvrssHqCY7nuUnPO/UwTvp4yi7RkU08YXAIeBi4ao+reV44tCCEuGaO84ii8xBrxjmNt/hCLBGMAxIYRzKP4/eUylzv8Oc70kSR3DAFeSus+GnPPttccPc86XUKyrPB74MHBtmVColZ4NLOFI9uS6ejblF4UQpsrvorcAs8vjr+ec7x+m7ocqdZvxhxTreAGurSd+GpBz/hnF2l+A+cBrh2jvPI7M0tqSc/7hUDfOOR+gGK0d8Hs5523AqyhGbd+Sc/5yU+9CkqQ2myofKiRJLVBm+f2Xsvhk4Cvl6GGrnEuRkfmzQ7x+BbCzUh7I7NvRyj2DX1o59d0RLvka0NTa4nJK8wWVU18f4ZJqVuMXDlHnlyvH64eoU3Vb5fjxADnnv885Pzvn/FdNXC9JUkcwwJWk3vOJyvGvMPQo4KiEEGZRZBS+Oue8uVGdnPM+ikRJVVMhm/IzObIeFeCW4SrnnLcCdzbZ9q9RbN0z4OYR6leD0ZNCCIsb1Kn2dV8TfajWmddEfUmSOpIBriT1nm9TrCEd8LoWTRN+HsW02aGmJw9oNE256W1v2uSJtfKGhrUGu6/Jtp9aK98xQv17KsfTgEeOcO9FTfShWmdTE/UlSepIBriS1GPKNZfVaavrKJJRjdc5FCOBXxih3leBHZXyaopRzE52XK28rYlr9jTZdj1A3TXKdpc3qHNd5fgRIYT+EdqsJpT65gh1JUnqWG4TJEm9aUut/Azgv8faWAhhLsUIbh/wiyYGZOfWymczOCjrNAtr5Wam/TZrWa18Q22bp7q+WrnRWt9PAxeXbfcDL2CIddEhhOoXDBn4QKN6kiRNBQa4ktSb6lsEPaZhreadQbHu8/8w8hpSgAhcXSmfFUI4P+ecx9mPiTKZU6hfwMjTlAfsarTeOee8LYTwMuAyimzO7wghXFXf97icGv5BYHp56o055/8ae9clSWovA1xJ6k37a+VfGmd75wB3A5c3GaTeHkJIFIEuwFrgScD14+zHRKlPSZ7Vwra31spbcs63j7fRnPNVIYRnAf8GPIJiW6jzgW/mnA+FEE4E3k6xb/Ee4M9yzu8f730lSWon1+BKUm+qB7gPr1cIIbwwhDDiXq4hhIXAacAXRjkC+x+1cidnU061cjOJm+aMXAUYnDQKin2EWyLn/G3gUcCVwEkU2xftDyHsB24CTgDeCTzK4FaS1A0McCWpN91fKy8NISwYKIQQ+igC0JGSEwG8qKw3UnKpunqAe9Yor59M36uV1zZxTaPkT43UpwQf2+R1hBBeXU5FbvTanBDCOymmjO8GXgmcCpwMPAzoyzmfmHN+c8652SnRkiR1NANcSepNdzc494jK8WLgILC9Qb26cyimuI42++71DB69fGgIob4dT6f4GrC3Uh52SncIYRFwTJNtfxOoJpX65VH06zeHuP8qihHahwGPzTmflXP+aM75aznnH+Wc78k5D5fISpKkKckAV5J6060Nzj22cnw8cO9IU45DCCuAZwI/LLcfalrZ9mW102ePpo3JknPeQbGWdcCTRrjkmRxJ3DRS23cBX6ycekYz14UQjgFOoQi+6y6hyPz82/XEUpIkdTMDXEnqTd9vcO75teNmEj79EUXCwpH2bh3KlAhwS3/Jke2Bnh5CGG6t7Ks5ehr4cP4CeKA8fkwI4eQmrvkz4Es553sbvHY6cGfOub7WWpKkrmaAK0lTX30LmxG3tMk5/xT4We30GSGEd4UQLgRezwhTjkMIjyvrAZwUQmhqxLLmx7XyuhDCC8fQzoTLOd8GvKks9gHnN6oXQjgb+B+a2y5poO0fAn9aOfWeMMxmwiGElwLnVvpTN43iz+T3QwgrQgj+vpck9QR/4UnSFBJCmBlCWFZ5PBVYXav2ghDC8lq9mQ2ae1+tPI0iYHoHcAj4XO3ec8q2jgshvJJiH9uBTMGrgA+Urw3c86gswpU2loUQVlOMdNZ9PIRwZghhdaVuR/y+yjl/EPibsvjGejBels8H3lK79HFloLkshDB/iLbfC/wJkIGnA5+s1w0hLCgTR30cOC/n/PMhuvoVipH1jwH3AodCCHmYx+4Qwi0hhI81OXosSVJHCqPb0UGS1E4hhKcB3xjDpU/POV9TaysAfwu8qlb3AMXazU/X6l8EvG0U97w453zRONsYcGwr9oat/fzuyDmvG2M75wHvBlYC11GsaT6RIhHVWTnnzSGEa4CnNrj8spzzkKPUIYQnAO+iWIu7q+zvvRRfIjyNYtT7tTnnHwzTxlLgMxRrgUcrAx8A3jCabZ9q7/e3c86XjuHekiSNiwGuJPW4EMIJFIHTEopA6oqcc31v1q7QqgC3bKufIoA8kSIo/F7O+Vvj7WOl/RXAUyhG6OcC9wHfyTn/ZBRtnApcQLFPcdUBij5XzWBwYqx35pzfPIp7XYMBriSpzQxwJUk9o5UBbqcrp6+/myJA/iJwOfBTYFPOeecQ16wBfh94K8U09bU5501N3u8aDHAlSW3WEWuaJElS64QQXgt8HbgBOC7n/Oqc8xU55zRUcAvFlkXltPJ/AGYCp05KhyVJahEDXEmSukgI4TjgvRSZnF+dc943wiWN/HP5fEzLOiZJ0iQwwJUkqbs8j2I97VWjSRJVM7CH71j3N5YkqS0McCVJ6k6zx3HtY8vn/x7FNX6mkCS1nb+MJEm9amUIYVa7OzEBvlk+vziEsGy0F5f7F7+RIiv09U1eMw84abT3kiSp1QxwJUm9qh+4OoTwthDCWSGEE0II00e8qsPlnG8E/gZYBnwrhPAbzV4bQngMcDWwEDhnmHpPDCH8QQjhgyGErwG/KK+RJKmtZrS7A5IktdGvlY8B20MIS3LOh9vVoVbIOV8QQrgRuBi4NoTwc+BLwLXARor9jg8AC4B1wBOA08vnTwLPyzlvHeYWlwKPnKj+S5I0Vu6DK0lSlwohBODJwLOAU4AIrATmApkiidRdwE+Aa4Av5Jw3tqWzkiS1gAGuJEmSJKkruAZXkiRJktQVDHAlSZIkSV3BAFeSJEmS1BUMcCVJkiRJXcEAV5IkSZLUFQxwJUmSJEldwQBXkiRJktQVDHAlSZIkSV3BAFeSJEmS1BUMcCVJkiRJXcEAV5IkSZLUFQxwJUmSJEldwQBXkiRJktQV/j+qcUuDkKKsYwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 368, + "width": 476 + }, + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "table_3d = table[table['parallax'] > 0]\n", + "fig, ax = plt.subplots(figsize=(6.5, 5),\n", + " constrained_layout=True)\n", + "cs = ax.scatter(ngc188_coords_3d.ra.degree, \n", + " ngc188_coords_3d.dec.degree, \n", + " c=ngc188_coords_3d.distance.kpc, \n", + " s=5, vmin=1.5, vmax=2.5, cmap='twilight')\n", + "cb = fig.colorbar(cs)\n", + "cb.set_label(f'distance [{u.kpc:latex_inline}]')\n", "\n", - "gaia_dist = Distance(parallax=table_3d['parallax'])\n", - "gaia_coords_3d = SkyCoord(table_3d['ra'], table_3d['dec'],\n", - " distance=gaia_dist)\n", - "gaia_coords_3d" + "ax.set_xlabel('RA [deg]')\n", + "ax.set_ylabel('Dec [deg]')" ] }, { @@ -831,31 +1010,31 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 72, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:41.221748Z", - "start_time": "2020-09-16T17:39:41.216464Z" + "end_time": "2020-09-23T18:52:38.297006Z", + "start_time": "2020-09-23T18:52:38.290604Z" } }, "outputs": [ { "data": { "text/latex": [ - "$[124.3366,~224.90021,~850.8522,~\\dots,~800.258,~452.71645,~919.43018] \\; \\mathrm{pc}$" + "$[850.8522,~124.3366,~14.202196,~\\dots,~572.97077,~165.71211,~1592.8815] \\; \\mathrm{pc}$" ], "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sep3d = gaia_coords_3d.separation_3d(ngc188_center_3d)\n", + "sep3d = ngc188_coords_3d.separation_3d(ngc188_center_3d)\n", "sep3d" ] }, @@ -900,7 +1079,7 @@ "collapsed": true }, "source": [ - "In this tutorial, we have introduced `astropy.coordinates` as a way to store and represent astronomical sky coordinates. We used coordinate objects, via the `SkyCoord` class interface, to parse and change coordinate representations and units. We also demonstrated how to TODO" + "In this tutorial, we have introduced `astropy.coordinates` as a way to store and represent astronomical sky coordinates. We used coordinate objects, via the `SkyCoord` class interface, to parse and change coordinate representations and units. We also demonstrated how to use a `SkyCoord` object with the `astroquery` package to query an astronomical database, the *Gaia* science archive. We then created a single `SkyCoord` object with the queried data that represents the sky coordinates of many objects. Finally, we introduced the concept of using `astropy.coordinates` to represent a 3D position of an object or set of objects." ] } ], From d720948b8e99165f2f0580c4225244feb616d08a Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Tue, 29 Sep 2020 08:18:06 -0400 Subject: [PATCH 22/43] add data file for other tutorials and sketch transforms --- .../1-Coordinates-Intro.ipynb | 22 +- .../2-Coordinates-Transforms.ipynb | 98 +++- .../gaia-open-clusters.ecsv | 543 ++++++++++++++++++ 3 files changed, 641 insertions(+), 22 deletions(-) create mode 100644 tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv diff --git a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb index 138c3b064..1a0a968e0 100755 --- a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb +++ b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb @@ -952,34 +952,34 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 100, "metadata": { "ExecuteTime": { - "end_time": "2020-09-23T18:57:05.374403Z", - "start_time": "2020-09-23T18:57:05.079702Z" + "end_time": "2020-09-29T00:02:35.057239Z", + "start_time": "2020-09-29T00:02:34.718377Z" } }, "outputs": [ { "data": { "text/plain": [ - "Text(0, 0.5, 'Dec [deg]')" + "Text(0.5, 1.0, 'Gaia DR2 sources near NGC 188')" ] }, - "execution_count": 96, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { "image/png": { - "height": 368, + "height": 382, "width": 476 }, "needs_background": "light" @@ -988,7 +988,7 @@ } ], "source": [ - "fig, ax = plt.subplots(figsize=(6.5, 5),\n", + "fig, ax = plt.subplots(figsize=(6.5, 5.2),\n", " constrained_layout=True)\n", "cs = ax.scatter(ngc188_coords_3d.ra.degree, \n", " ngc188_coords_3d.dec.degree, \n", @@ -998,7 +998,9 @@ "cb.set_label(f'distance [{u.kpc:latex_inline}]')\n", "\n", "ax.set_xlabel('RA [deg]')\n", - "ax.set_ylabel('Dec [deg]')" + "ax.set_ylabel('Dec [deg]')\n", + "\n", + "ax.set_title('Gaia DR2 sources near NGC 188', fontsize=18)" ] }, { diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index 40966ea6d..4e0479ebe 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -18,7 +18,13 @@ "\n", "## Summary\n", "\n", - "TODO: this is 3rd tutorial in a series..." + "In the previous tutorial in this series, we showed how astronomical coordinates in the ICRS or equatorial coordinate system can be represented in Python using the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). There are many other coordinate systems that are commonly used in astronomical research. For example, the Galactic coordinate system is often used in radio astronomy and Galactic science, the \"horizontal\" or altitude-azimuth frame is often used for observatory-specific observation planning, and Ecliptic coordinates are often used for solar system science or space mission footprints. All of these coordinate frames (and others!) are supported by `astropy.coordinates`, and as we will see below, the `SkyCoord` object is designed to make transforming between these systems as straightforward as possible.\n", + "\n", + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to transform astronomical coordinates between different coordinate systems or frames. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", + "\n", + "*Note: This is the 2nd tutorial in a series of tutorials about astropy.coordinates. If you are new to astropy.coordinates, you may want to start from the beginning or an earlier tutorial.*\n", + "- [Previous tutorial: Astronomical Coordinates 1 - Getting Started](1-Coordinates-Intro)\n", + "- [Next tutorial: Astronomical Coordinates 3 - Crossmatching](3-Coordinates-Crossmatch)" ] }, { @@ -32,11 +38,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.637389Z", - "start_time": "2020-09-16T17:38:08.065804Z" + "end_time": "2020-09-29T00:20:44.070367Z", + "start_time": "2020-09-29T00:20:42.194253Z" } }, "outputs": [], @@ -56,18 +62,86 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n", - "\n", - "## Transforming between coordinate systems and planning observations\n", - "\n", - "Imagine that we found something exciting in our exploration of the data for NGC 188, and we would like to follow-up with our own observations of a given sources. `astropy.coordinates` provides tools to assist in planning observations, especially from ground-based observatories, as we will see below. " + "## Transforming between coordinate systems\n", + "\n" ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-29T01:21:11.746224Z", + "start_time": "2020-09-29T01:21:11.690380Z" + } + }, + "outputs": [], + "source": [ + "tbl = QTable.read('gaia-open-clusters.ecsv')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-29T01:36:59.972296Z", + "start_time": "2020-09-29T01:36:59.966760Z" + } + }, + "outputs": [], "source": [ - "### Introducting frame transformations" + "open_cluster_c = SkyCoord(\n", + " ra=tbl['ra'],\n", + " dec=tbl['dec'],\n", + " distance=tbl['distance'],\n", + " frame='icrs')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-29T02:01:34.164933Z", + "start_time": "2020-09-29T02:01:34.021321Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 361, + "width": 502 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(8, 6))\n", + "\n", + "ax.scatter(open_cluster_c.ra.degree,\n", + " open_cluster_c.dec.degree)\n", + "\n", + "# ax.set_xlim(360, 0)" ] }, { diff --git a/tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv b/tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv new file mode 100644 index 000000000..afe1cab7f --- /dev/null +++ b/tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv @@ -0,0 +1,543 @@ +# %ECSV 0.9 +# --- +# datatype: +# - name: ID +# datatype: string +# description: Name (1) +# meta: !!omap +# - {ucd: ID_MAIN} +# - {_votable_string_dtype: char} +# - name: ra +# unit: deg +# datatype: float32 +# format: '{:7.3f}' +# description: Right ascension (ICRS) (1) +# meta: !!omap +# - {ucd: POS_EQ_RA_MAIN} +# - {width: 7} +# - {precision: '3'} +# - name: dec +# unit: deg +# datatype: float32 +# format: '{:7.3f}' +# description: Declination (ICRS) (1) +# meta: !!omap +# - {ucd: POS_EQ_DEC_MAIN} +# - {width: 7} +# - {precision: '3'} +# - name: distance +# unit: pc +# datatype: float32 +# format: '{:6.1f}' +# description: Distance if +0.1mas added to parallax (dmodePLUS01) +# meta: !!omap +# - {ucd: PHYS_DISTANCE_TRUE} +# - {width: 6} +# - {precision: '1'} +# - name: pm_ra_cosdec +# unit: mas / yr +# datatype: float32 +# format: '{:7.3f}' +# description: Mean proper motion along RA of members (pmra) +# meta: !!omap +# - {ucd: POS_EQ_PMRA} +# - {width: 7} +# - {precision: '3'} +# - name: pm_dec +# unit: mas / yr +# datatype: float32 +# format: '{:7.3f}' +# description: Mean proper motion along DE of members(pmdec) +# meta: !!omap +# - {ucd: POS_EQ_PMDEC} +# - {width: 7} +# - {precision: '3'} +# - name: radial_velocity +# unit: km / s +# datatype: float32 +# format: '{:7.2f}' +# description: Mean RV +# meta: !!omap +# - {ucd: VELOC_MEAN} +# - {width: 7} +# - {precision: '2'} +# meta: !!omap +# - {ID: J_A_A_618_A93_table1} +# - {name: J/A+A/618/A93/table1} +# - {description: Summary of mean parameters for the OCs characterised in this study} +# schema: astropy-2.0 +ID ra dec distance pm_ra_cosdec pm_dec radial_velocity +ASCC_10 51.870 34.981 629.6 -1.737 -1.368 -15.67 +ASCC_101 288.399 36.369 382.2 0.934 1.288 -20.17 +ASCC_105 295.548 27.366 522.9 1.464 -1.635 -13.81 +ASCC_108 298.306 39.349 1034.6 -0.519 -1.690 -6.33 +ASCC_11 53.056 44.856 787.2 0.926 -3.030 -14.43 +ASCC_110 300.742 33.528 1598.2 0.271 -3.132 -1.09 +ASCC_111 302.891 37.515 772.3 -1.150 -1.524 -22.81 +ASCC_113 317.933 38.638 528.7 0.800 -3.679 -4.44 +ASCC_115 329.280 51.558 694.2 -0.549 -0.543 -46.01 +ASCC_123 340.299 53.986 227.7 12.093 -1.407 -2.49 +ASCC_127 347.205 64.974 362.0 7.474 -1.745 -11.81 +ASCC_128 349.949 54.435 610.6 1.236 0.186 -14.91 +ASCC_13 78.255 44.417 973.2 -0.473 -1.743 32.37 +ASCC_16 81.198 1.655 337.0 1.355 -0.015 23.18 +ASCC_19 81.982 -1.987 345.2 1.152 -1.234 23.89 +ASCC_21 82.179 3.527 333.9 1.404 -0.632 18.70 +ASCC_23 95.047 46.710 580.5 1.098 -0.598 -13.29 +ASCC_30 104.271 -6.230 975.0 -1.595 -0.171 36.34 +ASCC_32 105.714 -26.512 736.1 -3.307 3.477 35.05 +ASCC_41 116.674 0.137 287.3 0.646 -3.990 -10.07 +ASCC_58 153.657 -55.001 456.8 -13.276 2.786 12.12 +ASCC_71 185.033 -67.509 1093.4 -9.272 -1.351 -11.43 +ASCC_73 189.281 -67.203 607.1 -11.539 -2.945 -6.34 +ASCC_79 229.731 -60.798 766.1 -2.914 -4.232 -1.40 +ASCC_85 251.853 -45.555 801.0 0.170 -4.102 16.48 +ASCC_87 255.658 -28.421 714.8 -1.180 -3.814 5.30 +ASCC_88 256.886 -35.564 815.8 0.919 -3.282 -29.53 +ASCC_90 264.777 -34.874 542.8 -1.630 -2.681 7.27 +ASCC_97 279.263 -19.139 535.2 -2.331 -6.508 -0.34 +ASCC_99 282.170 -18.488 286.0 5.188 -1.311 -29.80 +Alessi_1 13.343 49.536 658.4 6.536 -6.245 -3.73 +Alessi_10 301.233 -10.555 423.3 1.469 -7.879 -13.57 +Alessi_12 310.875 23.871 514.1 4.303 -4.639 2.43 +Alessi_13 51.762 -35.821 103.0 36.332 -4.709 21.13 +Alessi_19 274.741 12.311 543.7 -1.005 -7.073 -4.51 +Alessi_2 71.602 55.199 582.2 -0.904 -1.046 -11.00 +Alessi_20 2.593 58.742 409.8 8.195 -2.341 -5.04 +Alessi_21 107.690 -9.363 540.9 -5.475 2.602 41.85 +Alessi_24 260.764 -62.693 457.0 -0.488 -8.999 12.32 +Alessi_3 109.275 -46.142 270.6 -9.875 11.958 0.20 +Alessi_31 267.698 -11.853 622.6 -1.164 -4.122 5.36 +Alessi_37 341.961 46.342 661.1 0.351 -1.569 -10.48 +Alessi_44 295.325 1.592 615.2 0.463 -2.325 -9.80 +Alessi_5 160.819 -61.081 380.3 -15.411 2.503 12.49 +Alessi_6 220.058 -66.127 813.4 -10.472 -5.559 -14.35 +Alessi_62 284.026 21.597 581.5 0.245 -1.074 13.28 +Alessi_8 232.408 -51.227 621.8 -5.899 -5.729 -27.26 +Alessi_9 265.974 -47.028 202.0 9.916 -9.157 -6.44 +Alessi_Teutsch_11 304.127 52.051 606.6 -0.139 -1.295 -26.67 +Alessi_Teutsch_12 255.421 -58.981 568.0 -2.134 -8.952 -5.88 +Alessi_Teutsch_3 118.228 -53.022 646.9 -5.378 8.926 16.59 +Alessi_Teutsch_5 332.218 61.103 806.1 -1.895 -3.207 -21.04 +Alessi_Teutsch_8 180.649 -60.935 912.4 -6.625 1.630 -15.35 +Aveni_Hunter_1 354.175 48.205 403.7 -0.184 -2.087 -16.87 +BDSB96 106.332 -12.327 1027.3 -3.843 1.071 29.04 +BH_164 222.311 -66.465 401.1 -7.368 -10.714 -0.18 +BH_200 252.484 -44.182 1867.3 -0.025 -1.132 -4.96 +BH_202 253.779 -40.947 1471.2 -1.869 -3.802 -50.06 +BH_211 255.535 -41.113 1531.5 -0.671 -1.943 -48.83 +BH_221 259.641 -32.334 987.3 2.000 -1.568 -4.79 +BH_23 123.449 -36.329 419.2 -7.101 7.350 22.83 +BH_56 134.355 -43.181 828.2 -5.570 5.439 19.69 +BH_87 151.148 -55.386 1834.2 -6.335 2.626 -12.93 +BH_92 154.779 -56.425 1936.0 -5.896 3.446 20.29 +BH_99 159.553 -59.168 424.7 -14.494 0.919 11.96 +Barkhatova_1 313.398 46.037 1654.5 -2.440 -4.478 -5.08 +Basel_1 282.036 -5.876 1529.2 -0.079 -4.509 22.69 +Basel_11a 109.296 -13.988 1192.6 -1.581 0.929 80.49 +Basel_11b 89.547 21.965 1509.5 1.046 -4.137 3.43 +Basel_17 167.650 -59.047 1764.1 -6.628 2.174 -9.79 +Berkeley_10 54.894 66.486 1997.7 -1.470 1.047 -36.29 +Berkeley_67 69.472 50.755 1838.6 2.316 -1.374 -0.28 +Berkeley_80 283.591 -1.214 1928.0 -0.755 -2.667 43.95 +Berkeley_82 287.845 13.111 1194.3 0.178 -3.168 -2.63 +Berkeley_87 305.396 37.433 1424.5 -3.654 -6.264 -7.50 +Berkeley_9 53.167 52.649 1557.7 1.493 0.037 -17.40 +Blanco_1 0.853 -29.958 230.5 18.739 2.602 5.76 +Bochum_13 259.333 -35.529 1437.9 -0.286 -1.284 -20.76 +Collinder_107 99.203 4.972 1339.8 -1.325 0.659 11.01 +Collinder_110 99.677 2.069 1806.0 -1.091 -2.049 38.17 +Collinder_115 101.659 1.776 1655.8 -1.245 -0.567 50.95 +Collinder_132 108.485 -30.758 613.4 -4.140 3.732 24.13 +Collinder_135 109.362 -37.044 293.5 -9.975 6.157 16.03 +Collinder_140 110.882 -31.966 367.2 -8.074 4.789 19.65 +Collinder_185 125.833 -36.349 1324.6 -4.924 3.879 75.78 +Collinder_197 131.202 -41.280 859.5 -5.808 3.933 35.82 +Collinder_258 186.798 -60.767 1119.9 -7.051 -0.288 -28.00 +Collinder_269 200.992 -66.204 1435.9 -5.058 -2.492 -22.30 +Collinder_272 202.586 -61.319 1840.6 -3.441 -1.798 -4.59 +Collinder_277 207.058 -66.066 1418.0 -9.225 -4.139 -27.28 +Collinder_292 237.410 -57.594 1521.4 -2.397 -2.232 -32.04 +Collinder_338 264.483 -37.657 606.0 2.546 -1.854 -23.35 +Collinder_350 267.018 1.525 352.5 -4.965 -0.019 -14.64 +Collinder_359 270.598 3.260 522.3 0.637 -8.668 5.28 +Collinder_394 283.092 -20.229 659.4 -1.459 -5.882 13.86 +Collinder_419 304.534 40.732 925.0 -2.708 -6.382 4.64 +Collinder_463 27.031 71.738 789.8 -1.715 -0.307 -11.60 +Collinder_469 274.143 -18.309 1895.9 0.089 -1.679 17.84 +Collinder_69 83.792 9.813 386.0 1.194 -2.118 29.10 +Collinder_74 87.170 7.374 1969.4 1.011 -1.512 20.18 +Collinder_95 97.788 9.894 630.0 -2.263 -5.159 8.47 +Czernik_12 39.853 54.922 1635.9 -0.189 0.931 -17.50 +Czernik_25 93.432 6.953 1763.9 -0.222 0.252 42.79 +Czernik_37 268.320 -27.373 1868.6 0.459 -0.445 -19.21 +Czernik_38 282.451 4.965 1951.7 -1.840 -5.005 57.39 +Dias_5 274.385 -19.707 1145.6 1.798 -0.945 -26.59 +Dolidze_5 305.025 39.331 1746.6 -1.929 -5.384 -20.40 +Dolidze_53 296.588 24.613 1647.5 -1.494 -4.609 -57.94 +Dolidze_8 306.129 42.300 891.0 -2.633 -5.910 -4.07 +ESO_130_06 181.970 -59.310 736.4 -11.266 -0.866 -5.68 +ESO_166_04 137.602 -53.884 1005.0 -5.983 5.675 16.76 +ESO_226_06 246.040 -51.151 1930.2 -2.181 -3.308 -18.53 +ESO_368_11 116.086 -34.628 1791.0 -0.853 2.278 22.47 +ESO_559_13 112.176 -20.807 1891.7 -1.402 1.721 48.61 +FSR_0165 299.546 26.761 1980.0 -2.782 -5.558 11.18 +FSR_0167 301.218 27.057 1511.2 0.102 -1.830 1.77 +FSR_0198 300.614 35.681 1627.5 -3.560 -6.611 12.13 +FSR_0241 300.763 46.196 1726.9 -1.427 -3.575 -0.52 +FSR_0278 307.761 51.021 1463.8 -4.615 -9.738 -7.94 +FSR_0385 340.628 58.941 1769.1 -5.939 -3.974 -54.46 +FSR_0442 352.489 63.447 1260.8 1.287 -2.554 -27.24 +FSR_0496 6.656 64.010 1277.8 2.231 -0.621 -22.98 +FSR_0551 24.938 64.878 838.9 0.112 -1.422 -23.49 +FSR_0667 61.766 51.141 1027.3 0.901 -3.870 2.50 +FSR_0771 75.919 32.157 1339.3 1.631 -4.203 -3.37 +FSR_0850 86.257 24.740 1761.9 1.301 -2.555 19.24 +FSR_0866 103.823 29.745 1062.6 1.405 -0.443 65.47 +FSR_0893 93.454 21.608 1906.0 -0.355 -3.215 39.17 +FSR_0904 91.774 19.021 1738.3 -0.448 -1.107 14.08 +FSR_0923 92.644 16.971 1396.6 0.657 0.141 43.83 +FSR_0935 98.778 17.740 1977.4 -0.074 -1.056 31.06 +FSR_0951 95.573 14.650 1465.6 0.242 0.070 45.53 +FSR_0977 97.974 11.865 1718.2 0.721 -1.533 23.72 +FSR_1032 99.072 4.011 1708.9 -1.372 -3.174 51.96 +FSR_1051 103.046 3.662 1892.1 -0.761 -2.639 37.17 +FSR_1063 98.654 -0.265 1914.3 0.057 -1.541 59.76 +FSR_1085 103.290 -0.192 1379.0 -1.050 0.262 41.66 +FSR_1163 104.810 -9.078 1903.5 0.192 1.215 10.21 +FSR_1284 109.992 -24.535 1920.4 -0.983 1.357 42.20 +FSR_1378 120.304 -40.676 1395.0 -5.659 11.934 26.03 +FSR_1435 134.218 -43.757 1769.3 -3.900 2.732 29.17 +Ferrero_1 275.063 -32.338 785.1 0.149 -4.809 15.51 +Ferrero_11 93.646 0.637 730.5 -3.013 -4.339 24.80 +Gulliver_10 123.090 -38.676 561.5 -4.443 4.965 32.64 +Gulliver_13 104.858 -13.254 1334.9 -2.941 0.281 56.53 +Gulliver_14 259.928 -36.785 1143.8 -3.719 -4.792 -13.36 +Gulliver_18 302.905 26.532 1348.4 -3.198 -5.646 -3.62 +Gulliver_20 273.736 11.082 403.9 1.039 -6.525 -13.92 +Gulliver_21 106.961 -25.462 612.3 -1.929 4.205 39.86 +Gulliver_24 1.161 62.835 1308.1 -3.241 -1.570 -31.86 +Gulliver_28 293.559 18.059 584.9 -4.485 -3.400 0.97 +Gulliver_29 256.745 -35.205 967.3 1.325 -2.206 3.46 +Gulliver_30 313.673 45.996 1797.7 -2.524 -3.697 -10.20 +Gulliver_31 301.912 38.232 1905.6 -1.500 -3.113 -11.45 +Gulliver_32 98.383 7.478 1416.2 -0.879 2.304 40.24 +Gulliver_35 150.379 -58.198 1871.4 -6.973 3.967 86.46 +Gulliver_36 123.185 -35.111 1171.3 -0.236 0.609 10.22 +Gulliver_37 292.077 25.347 1297.6 -0.775 -3.740 2.52 +Gulliver_38 300.808 34.435 1889.9 -0.921 -2.594 10.62 +Gulliver_44 127.249 -38.095 1093.9 -0.666 2.301 15.45 +Gulliver_48 316.334 50.733 842.3 -4.781 -6.671 -26.67 +Gulliver_51 30.335 63.801 1288.9 -4.892 -0.149 -57.36 +Gulliver_52 161.669 -59.508 1903.3 -4.755 1.470 -11.33 +Gulliver_54 81.297 33.688 1086.5 -0.595 -7.299 16.77 +Gulliver_57 141.203 -48.075 1205.3 -6.737 4.085 19.87 +Gulliver_58 191.515 -61.965 1898.9 -3.592 -0.353 -1.82 +Gulliver_6 83.278 -1.652 400.6 -0.007 -0.207 28.35 +Gulliver_9 126.998 -47.929 473.0 -5.992 6.915 23.30 +Haffner_13 115.209 -30.073 534.4 -6.184 5.879 34.22 +Haffner_3 106.027 -6.133 1966.8 -1.179 -0.906 54.30 +Haffner_5 109.493 -22.660 1428.9 0.965 -4.060 -6.93 +Harvard_10 244.859 -54.957 646.6 -1.919 -10.577 -17.22 +Harvard_13 255.999 -48.090 1068.0 -2.766 -7.190 -4.22 +Harvard_16 262.781 -36.813 1329.6 -0.636 -0.778 5.46 +Hogg_17 218.459 -61.326 1865.8 -5.201 -2.433 -43.76 +IC_1396 324.745 57.514 837.2 -2.355 -4.495 -19.04 +IC_1805 38.210 61.471 1729.1 -0.702 -0.669 -42.39 +IC_1848 42.855 60.419 1837.2 -0.372 -0.315 -53.36 +IC_2391 130.292 -52.991 149.0 -24.644 23.316 15.29 +IC_2395 130.531 -48.090 663.3 -4.464 3.293 17.66 +IC_2488 141.857 -57.004 1180.8 -7.761 5.698 -1.42 +IC_2602 160.613 -64.426 149.5 -17.582 10.700 17.44 +IC_2714 169.373 -62.719 1180.1 -7.597 2.639 -12.93 +IC_348 56.132 32.159 311.7 4.483 -6.447 19.71 +IC_4651 261.212 -49.917 843.6 -2.410 -5.064 -30.33 +IC_4665 266.554 5.615 333.7 -0.909 -8.520 -14.40 +IC_4725 277.937 -19.114 608.8 -1.688 -6.117 3.09 +IC_4756 279.649 5.435 450.1 1.260 -4.927 -24.74 +IC_4996 304.135 37.649 1622.5 -2.681 -5.348 -29.11 +IC_5146 328.372 47.246 745.1 -2.910 -2.490 -2.12 +Kharchenko_1 92.197 24.281 1823.1 0.767 -2.286 41.41 +King_1 5.505 64.383 1543.5 -4.947 -1.273 -53.20 +King_26 292.237 14.882 1841.6 -2.344 -4.935 25.01 +King_4 39.028 59.024 1972.3 -0.575 -0.084 -44.33 +King_6 51.982 56.444 678.0 3.864 -1.814 -21.88 +Koposov_12 90.245 35.287 1903.7 0.699 -1.732 20.31 +Koposov_36 84.218 31.210 1493.0 0.804 -3.668 52.26 +LDN_988e 316.027 50.245 579.8 1.181 -3.560 -27.98 +Loden_1194 212.006 -59.786 686.1 -7.762 -4.667 -24.79 +Loden_46 155.884 -54.667 996.1 -11.367 4.645 24.32 +Lynga_1 209.994 -62.152 1814.2 -5.303 -2.274 -32.03 +Lynga_2 216.085 -61.328 859.5 -6.716 -4.696 -12.35 +Lynga_6 241.218 -51.960 1952.7 -1.866 -2.757 -46.60 +Mamajek_1 130.637 -78.963 104.0 -29.834 26.990 16.69 +Mamajek_4 276.635 -50.772 425.0 4.646 -21.051 -26.32 +Melotte_101 160.535 -65.110 1759.3 -6.307 3.483 9.53 +Melotte_105 169.920 -63.486 1864.5 -6.771 2.133 1.49 +Melotte_20 51.617 48.975 172.5 22.864 -25.378 -0.10 +Melotte_22 56.601 24.114 133.8 20.077 -45.503 5.92 +Melotte_71 114.383 -12.065 1776.6 -2.446 4.210 51.26 +Muzzio_1 134.478 -47.761 1543.2 -5.261 4.224 135.64 +NGC_1027 40.677 61.616 989.2 -1.753 2.090 -4.06 +NGC_1039 40.531 42.722 481.2 0.722 -5.681 -7.16 +NGC_129 7.607 60.213 1562.8 -2.605 -1.096 -37.89 +NGC_1333 52.297 31.310 287.8 7.425 -9.865 1.92 +NGC_1342 52.894 37.380 613.2 0.520 -1.604 -9.95 +NGC_1444 57.361 52.658 1040.3 -0.746 -1.829 -36.90 +NGC_1496 61.111 52.668 1349.0 1.511 -0.756 -27.23 +NGC_1502 61.954 62.332 957.1 -0.571 -0.848 -14.76 +NGC_1513 62.470 49.504 1282.1 1.324 -3.679 -14.73 +NGC_1528 63.878 51.218 928.8 2.181 -2.246 -9.62 +NGC_1545 65.202 50.221 668.6 -1.957 -0.082 -11.36 +NGC_1582 67.985 43.718 890.7 2.216 -1.347 18.00 +NGC_1647 71.481 19.079 554.2 -1.057 -1.502 -6.69 +NGC_1662 72.198 10.882 395.5 -1.128 -1.962 -13.31 +NGC_1664 72.763 43.676 1158.4 1.703 -5.738 6.38 +NGC_1708 75.871 52.851 863.3 0.276 -1.360 7.20 +NGC_1750 75.926 23.695 671.2 -0.960 -2.366 -10.38 +NGC_1778 77.033 37.020 1408.9 0.506 -3.145 -26.24 +NGC_1817 78.139 16.696 1469.8 0.485 -0.890 66.07 +NGC_188 11.798 85.244 1571.4 -2.307 -0.960 -41.70 +NGC_189 9.885 61.090 1110.0 0.338 -3.306 -28.71 +NGC_1901 79.561 -68.294 402.1 1.537 12.670 0.85 +NGC_1907 82.033 35.330 1351.9 -0.040 -3.418 2.78 +NGC_1912 82.167 35.824 997.0 1.580 -4.424 -1.49 +NGC_1960 84.084 34.135 1036.9 -0.155 -3.388 7.03 +NGC_2099 88.074 32.545 1257.3 1.924 -5.648 8.03 +NGC_2112 88.452 0.403 993.9 -2.713 4.270 30.86 +NGC_2168 92.272 24.336 793.9 2.308 -2.905 -7.90 +NGC_2183 92.717 -6.213 746.2 -3.605 0.447 27.11 +NGC_2184 91.690 -2.000 544.0 -0.648 -0.288 42.03 +NGC_2186 93.031 5.453 1844.1 0.415 -1.993 21.98 +NGC_2215 95.199 -7.277 869.6 0.436 -3.673 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1496.3 -3.180 -5.692 94.08 +Teutsch_35 294.091 35.742 468.3 -0.683 -2.439 -7.66 +Teutsch_38 131.523 -38.025 613.2 -8.636 3.669 28.09 +Tombaugh_5 56.984 59.070 1449.3 0.515 -2.388 -23.10 +Trumpler_10 131.943 -42.566 413.9 -12.532 6.527 22.43 +Trumpler_14 160.986 -59.553 1944.3 -6.540 2.076 -10.53 +Trumpler_17 164.108 -59.230 1983.0 -4.631 2.216 105.27 +Trumpler_19 168.623 -57.563 1989.8 -1.675 -1.237 -26.38 +Trumpler_2 39.232 55.905 640.9 1.583 -5.352 -4.12 +Trumpler_22 217.783 -61.169 1941.0 -5.120 -2.683 -43.03 +Trumpler_25 261.125 -39.006 1884.6 0.358 -2.120 -26.79 +Trumpler_26 262.126 -29.487 1329.5 -0.873 -3.082 -7.59 +Trumpler_28 264.231 -32.469 1239.8 -0.851 -2.824 -23.47 +Trumpler_29 265.347 -40.158 1246.8 0.489 -2.308 -23.99 +Trumpler_3 48.004 63.218 629.1 -3.354 -0.112 -19.46 +Trumpler_30 269.182 -35.298 1196.7 1.243 -2.189 -18.36 +Trumpler_32 274.294 -13.349 1414.8 -1.052 1.158 16.52 +Trumpler_33 276.159 -19.711 1240.9 0.435 0.449 -3.71 +Turner_5 143.284 -36.358 399.7 0.092 -3.115 -3.49 +Turner_9 296.165 29.494 1445.6 0.346 -2.399 1.57 +vdBergh_83 100.025 -27.189 859.5 -2.896 3.199 15.78 +vdBergh_92 106.038 -11.475 1030.2 -4.540 1.618 27.99 From 24e049ff420fd6c5770050d31805dd8e2942fbc3 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 30 Sep 2020 11:09:15 -0400 Subject: [PATCH 23/43] updates to transforms tutorial --- .../2-Coordinates-Transforms.ipynb | 374 ++++++++++++++++-- 1 file changed, 352 insertions(+), 22 deletions(-) diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index 4e0479ebe..1971707e9 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -38,11 +38,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 54, "metadata": { "ExecuteTime": { - "end_time": "2020-09-29T00:20:44.070367Z", - "start_time": "2020-09-29T00:20:42.194253Z" + "end_time": "2020-09-30T15:04:47.123743Z", + "start_time": "2020-09-30T15:04:47.118526Z" } }, "outputs": [], @@ -52,7 +52,8 @@ "import numpy as np\n", "\n", "from astropy import units as u\n", - "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.coordinates import SkyCoord, Distance, Galactic\n", + "import astropy.coordinates as coord\n", "from astropy.io import fits\n", "from astropy.table import QTable\n", "from astropy.utils.data import download_file" @@ -62,8 +63,144 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Transforming between coordinate systems\n", - "\n" + "## Key `astropy.coordinates` Concepts: Component Formats, Representations, and Frames\n", + "\n", + "The term \"coordinates\" is very over-loaded and is often used interchangeably in astronomy when referring to formatting data (e.g., sexagesimal vs. decimal), representations (e.g., Cartesian vs. spherical), and frames (e.g., equatorial vs. galactic). In `astropy.coordinates` (the code) and in the documentation, we have tried to formalize these three concepts and have made them a core part of the way we interact with objects in this subpackage ([docs](https://docs.astropy.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts)). Here we will give an overview of these different concepts as we build up to demonstrating how to transform between different reference frames.\n", + "\n", + "\n", + "## Coordinate Component Formats\n", + "\n", + "In our previous tutorial, we showed that it is possible to pass in coordinate component data to the `SkyCoord` initializer as strings or `Quantity` objects in a variety of formats and units. We also saw that the coordinate components of `SkyCoord` objects can be re-formatted. For example, we can change the coordinate *format* by changing the component units, or converting the data to a string:" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T15:05:44.749397Z", + "start_time": "2020-09-30T15:05:44.743973Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0662133333333335\n", + "01h03m58.368s -10d31m24.6484s\n", + "-10:31:24.64838\n" + ] + } + ], + "source": [ + "c = SkyCoord(ra=15.9932*u.deg, dec=-10.52351344*u.deg)\n", + "print(c.ra.hourangle)\n", + "print(c.to_string('hmsdms'))\n", + "print(c.dec.to_string(sep=':', precision=5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "See the previous tutorial [Astronomical Coordinates 1 - Getting Started](1-Coordinates-Intro) for more examples of this\n", + "\n", + "## Coordinate Representations\n", + "\n", + "So far, we have only worked with coordinate data in (astronomical or longitude/latitude) spherical representations, but `astropy.coordinates` also supports other representations, like Cartesian, cylindrical, etc. ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html#astropy-skycoord-representations)). To retrieve the coordinate data in a different representation, we can use the `.represent_as()` method:" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T15:06:49.857276Z", + "start_time": "2020-09-30T15:06:49.853884Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c.represent_as(coord.CartesianRepresentation)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this case, we defined this `SkyCoord` without distance data, so the units of the Cartesian components are dimensionless (i.e., on the unit sphere). If we pass in a distance, ...TODO" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T15:08:08.684317Z", + "start_time": "2020-09-30T15:08:08.677364Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c2 = SkyCoord(ra=15.9932 * u.deg, \n", + " dec=-10.52351344 * u.deg,\n", + " distance=127.4 * u.pc)\n", + "c2.represent_as(coord.CartesianRepresentation)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transforming Between Coordinate Frames\n", + "\n", + "todo" ] }, { @@ -100,35 +237,62 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:45:17.766590Z", + "start_time": "2020-09-30T14:45:17.760600Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "open_cluster_c[:4]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-09-29T02:01:34.164933Z", - "start_time": "2020-09-29T02:01:34.021321Z" + "end_time": "2020-09-30T14:35:43.108789Z", + "start_time": "2020-09-30T14:35:42.908329Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "Text(0, 0.5, 'Dec [deg]')" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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+1QvcN8u1R9gRoEDVLFiwQP39/VXZdzNVHK4kva5aP1cAAAC0hlgspsHBwZYscO81C6KZrj3CngFCDQo0JC9LIsKO9DoAAADU2sKFC1uuwH2lRekb/dojlUrp1ltv1e///u+rs7Mz1AX5CVCg4TRbxWHS6wAAAFAPrVTg3k1R+hUrVswpSt/I1x7ZgExnZ6c+/elPa/fu3cpkMrO2CVtBfgIUaDjNVnE4FospGnX3X7HZ0usAAABQP9kC94lEYs75aDQaVSKRaIhlC264yYJIpVJavnz5rGyCRr32yA3I5AclCglLBgg1KBAqbtZENduSiGx63ejoaNltmyW9DgAAAOEQZIH7sNY38JIFceDAAa1YsULbt2/XvHnzGvbaw01AJl8YCvIToEAoeKmK24xLIhzH0eTkZMk3kWZJrwMAAED4+ClwH/YOF16yIKTpgEZ/f79GRkYa8trDS0AmVxgK8rPEA3XnZj1Y7pqoZlwS0UrpdQAAAGgeXs/l68FrFoR0KpugEa89vAZkcuVmgKRSKTmOo40bN8pxHB07diyoIRZFBgXqzktV3JGRkaZZElEoBS6o9DoAAACgFryey9eD1ywIaXY2QaNde1QSkMlqb28vmhFz0UUXKRqNlq6q6lPETcEMoJyenp4dixYtWrZp0yZPz0ulUurq6nLdfzmZTGrBggUlexFndXd3hzLroNh/+Gg0GooUOAAAADSOetZ9qPRcvta8jDPXhg0btH79+oa79nAcRwMDA56fF41GtX37dl133XUFX+uiRYskSU8//XTE9yCLjaFaOwbcqLQqbqMuiWiEFDgAAACEX7aFZFdXlwYGBjQ0NKSBgQF1dnaqr69vVieKammUDhfZDGyvsvUkGu3aw8uylFzxeFy33Xab5+KaQWKJB+rKT1XcICsO10ojpMABAAAg3ErN6GcnvSYnJ6t+0VytDhfVyApxHEePP/64UqmUq+3z60mE8dqj2M/Jy5L4rO7ubt1yyy1661vfWsURl0eAooEYY14r6b9JSkhql3SapGckjUr6a2vtf3jY17slfUjSckknJB2X9E+S7rLW/jTgoRfldT3Y6OioPvShD81aAuGn4nAteammG4YWPwAAAAinsEx6Bd3holw3kE996lN69NFHKwpcdHR06LHHHlNPT48OHDhQdvti9STCcO3hpmuKmy6B0qll5sPDw/rOd75TcXHNoLDEo0EYY66R9LSkCyX1WWu7rLULJf0XSZdImjDGlP3faYxpM8Y8IOleSWOSLrTWvk7SMkmHJe00xny2Wq8jn9f0o507dzbEEoj8irfZSGsjpMABAAAgvCqZ9KqWIDtcuFkK/Za3vMXXcpaOjg5NTExo4cKFJbfr7u7W8PCwq33Wmpuf04oVKxSJRIouS4lEIlq8eLFuvfVWJZNJjYyMaN68eb6KawaFDIoGYIz5M0n3SLrFWvul3Mestb8yxvyFpCckDUsq+r/eGPNKSd+X9BZJV1trH8jZz7OSPmmMOU3S54wx7dbajwX9WvJVkn4U5iUQpaKZ2aIybrlNgQMAAEDrqGTSq1oz/kF213OTFZKvkuUs2UyKUkXrh4eHQ1NPIp+bn1MqldLy5cs1MTHhaVlKJd1OgkaAIuSMMX8g6W5J2yT9ZYHHXyvp72buXm6MOd1ae7zI7v5e08GJrbnBiTxfkPRhSYPGmCettV/3M3433KYf5QrjEohyawF3797taX/lUuDCpJ7VowEAAFpJteo+VMrNuXw2I6HQOWMmk9E3vvENffe73614DF4nMIOsJ1HL82Av2TMHDhzQihUrtH37dtfLUmKxmAYHB+u6zIMARYgZY86U9FVN15rYaK0t1BP2XknZSiZnSDpb0nMF9nWlpPfO3C3aC9Rae3RmCci1ku4yxjxgrf115a+ivGxV3FWrVunJJ5909ZxqR4MrUUnUt5hyKXBh4Wb9Gy1TAQAAghN03Qe/jh07prVr1+pb3/qWnn76aWUypy5ZshkJn/3sZ9Xf3z/nnLGSVpjFjI6OaseOHVq+fLnr5/ipJ1GP82Av2TPSdEBj1apVSiQSroInlWS3B40ARbh9VNIiTdeG+H6RbXLfob5nrZ0TnJjxxZzbPy5z3J9oOkBxrqSbJd1Ufqj+dHR0qK+vz3WAQgrXEggv0Uw3yqXAhUFYqkcDAAC0Ei+z3NWc9Cp2gR6JRHTRRRdpzZo1WrNmjc4444yi54xBW7VqlXbt2uXp3LOSDIhKz4P9ZltUUiNi586d2rlzpyR3wZNKstuDRJHMcFs78+9Wa22xd6D3SPqSpEFJ1xfawBjzdklLZ+6+JKncWoMduWMwxrzc3XD9CVs02Auv0cxSwlyUJ5eX6tEAAAAIRnaW241qTXqVKtSYyWS0e/du3X333TrzzDMDzTIu55lnnnF97plOp9XX16euri7PhTe9ngf7OVYuvzUissGTUk0HstntxYprnnbaaVWtpBnJTcFBeBhjlkqanLn7BWttxZ01jDGOpOz/1F3W2ovLbP8aSf8751txa+33Sj2np6dnx6JFi5Zt2lR09UhZqVRKXV1drqPByWSy6BtuNjqZTCa1b98+dXZ26sILL6zamrCNGzdqaGjI9faLFy/Wnj17Gq4oT1aQvysAAAB4U2oGP6u7u7tqmax9fX2ulgFcccUVevjhh2ta0yB77pnJZIpmK/j5+Xk9D96+fbuuu+66QH5XXo5dTiKRKFuzI79Gx7/8y79o7969T0xMTLhfR+MRSzzCa1XObb8hx9x97Su3sbX218aYFyS9YuZbV0gqGaAIQhBVgIulmmXdcMMNuuaaawJfE+Y1mvnRj35UsVjMd1GeeglT9WgAAIBWk53lrrQThZ+lBl6WNj/00EOq9YT41NSUYrGYnnrqqaK1IbxkQORfxHs9D/7Qhz5U8bHyBVkjwk3TgfwaHY888ojv45ZDgCK8cqNSv5YkY8wbJN0o6Q8kvVLSIUn/LOlvrbW/KLQTY8yrJZn8fbnwjKRsg+CVrkftk5cqwPncREIzmcycNWFBVN6tZC2gn6I89Ra26tEAAACtppJOFEEUdvRygV6vbP1szYVc2eUNjz/+uPbv3+9qP4Uu4r2eB7utsee2S6HjOHr88ceVSqU8jSNfWCcRCVCE17Kc2y8YY/5U0l9JulXSLZL+Q9Jlkv6npHXGmP9urf1mgf28Me++2yvFZ3UqQPEGY0ykSBeRk3bt2iVjTKlNSrLW+ooGe1nftnfvXq1du1ZnnXVWIJV3g+wB3QgauV4IAABAM3E76RVUgfNKCjWGiZcL+0IX8V7Pg90GadwGDDo6OvTYY4+pp6dHBw4c8DQWaXqyN+vOO+/UnXfe6fq555xzjk4/vbohBIpkhlfuFezlku6R9FFr7e3W2qPW2hPW2oclrZF0lqSvG2MSBfZzQd7937o8fu52L9fsbiFVlY0GJ5NJOY6jDRs2yHEcJZNJjYyMFHzDrKSLxubNmwsW9nFTPKYQx3Fm/YcvpFEKYJYTi8XmFM0pplFapgIAADSzoAqce71Aj0QinrYPm/xMYC/nwV5fu9us446ODk1MTGjhwoXlN24wBChCyBhztqQzcr71KUk/tNb+Y/621trvS3pK07/LvzHGvDJvk7Pz7h9zOYz87fL3M8eSJUtkra34K182Grx+/Xr19/eXzDoIsotGltcOFKUq3kajUSUSiaZpuRmG6tEAAABwx8tkXnapQTFeJ6pWrVpVfsMQy88E9nIe/KY3vcnXsUrJZlIUuvYoZe/evdq7d6+SyaR+9KMfaevWrbO+X+hLkrZt26YlS5Z4ej2VIEARToXCkn9dYvvNM/9eIOl9eY/9Lu/+aS7HkL9d/n5CpVqpZuXeoPNVkv3RqFopYwQAAKCRVVLgvBivE1X33HNP2XPGsCqWCez2PPjuu++uatZxoWuPpUuXunpudhIxqMyaoBCgCKeX8u4fl/QvJbZ/Iud2/rtF/pX7mS7H8LK8+8+5fF5d+O0JXEy5N+hivGR/lJJKpeQ4jjZu3CjHcTwFS6qtlTJGAAAAGlnQBc69TFSVOmcsJBqNes48iEQiri/MvSiWCez2PHj58uU1yTrOvfbYsmVL2aUfCxcu1PDwsOfMmmPH3CbjV44imeF0RNKUTgWQfm6tfb7E9rmtQ/P/Zybz7pddqjHjFTm3D1pr84MmoeKli4ZX9ehAEUSF5VqopHo0AAAAaivoAudeC9t3dHTozjvv1Jve9CZt375dmUxGK1eu1Pvf/35JmnMeee+997rufiFJn/jEJ3TNNdeot7fXVVHKaDSq173udSULZpbLBHZ7HuynS2GlytW+yD7uNbPmueeqP2dNgCKErLVTxpjnJGXfGQ6Xecpvcm6fb4w53Vp7fOb+zyW9oFMBh9e4HEbudnP79IRMkD2B89W6A0VQFZZrqZFbpgIAADQ7L5N5bpcauL1ALzbxtmXLFu3cuVOO48w5j/QaUPnhD3+oO++803XHjOyEXyWdA/OVOw/206WwEuvWrdO+fftKbrNv3z719/d7zjo5fvx4+Y18itSrNy1KM8Y8JumtM3d/aK39oxLb/idJe2bu/tZae1be4z+U9Iczd//VWvvOMsc+Q9PLTLIZHLdYa/+i1HN6enp2dHd3L3vHO96ho0ePqq2tTatXr67pLHqpC/tKRaNRJZPJmr6Ovr4+V4GWRCKhkZGRGowIAAAAja4e55huzs+7u7vnTLylUil1dXVVJTs6/3i1zASu9rG8/Nyi0ag+97nP6TOf+Yzr/f/xH/+xDh8+/MTExMRyP+MshQyK8PoXnQpQvLzMtrnhtkJFCr6nUwGKN7g4ttHs+iSuFibt2rVL3/nOd07er/VyhFLRyaxIJKJrrrlGL730kjZv3lxgL7PVugNFJRWWWUoBAACAcvwsNUilUhofH/c8EemlAGNuUKRa2dHz58+fEwypZSZwtY/ldcmGNB2ocBvQOPfcc3X4cLnkfn8okhleP8q5fUGZbXMDFP9c4PF/lPRidl/GmHI5Uxfl3N5mrf23MttL0pyUquxyhN7eXh06dMjNLnzLr2R700036dprr9VNN90kx3G0b98+jYyM6O677w5lB4ogKywDAAAAWZUUOE+n0+rr61NXV5cGBgY0NDSkgYEBdXZ2qq+vT+l0uujx/LY2dVOI06uDBw/WpNBjvXgthhqJRDwV8TzzTLf9FipHgCK8/j9Jz8zcXmiMeUWJbd+ac3tOPpa19rCku3O+dWmZY78t5/aXymxbVi3b0mRlo5O333677rvvPt1+++2zummEtQNF0BWWAQAAgKxCbSkdx1EymdTIyMic4ERvb69GR0fnTKC5mYj0O/GWe76eX/QxEol47vRR7DjNpJJiqF46stQCSzxCylr7W2PMXZK+qOnfU6+kHxTZPFvF5tES23xe0nslnS9plaQtJQ6/aubfH1hrA/kfHMblCEF3oKg09S1X0BWWAQAAgHxulhpUujwjK8iJt0gkMitbOxKJ6He/+52n/Rc7ThDn8GFRSTHUWhfxLIcARbjdqemgwhJJf6YCwQdjzFskvVHS7yTdYK0tWPXUWnvYGPM+SQ9Iep8xZr219j8K7O8dM8dLS3p/QK/jZLQyjJ0e/K4FC7IlaDUqLAMAAKB+GvECOIi6aH4n3sp1ttu9e7en/ecfJ8hz+LDwUrsjt9Ze0BO3frDEI8SstS9JWi0pJem9xpgrch83xrxK0t9JOi7pT6y1j5fZ30OSPijpHEnfNMbMWkRkjLlA0jckHZR0mbX2YEAvRVJzLkfwm/qWL/um4katC3gCAADAPT/1G+otiLposVhszlLqYgpNvLnJ4PAqe5ygz+HDxM+SjezE7fr162ctj68lAhQhZ63dq+kaEyOSxowx9xhjPmKM+YykJzUdbFhlrXUV4rTWflPSOyV1SvqZMeYLxpiPGmO+IulpSTskLbPW/izo19KMyxG8pL65FbZ1YAAAAPCm0S+Ag1ie4WfibWJiIvAOHrnHqcY5fFiEtdaeW5H8zgsIL2PMhZLepemuHi9IekLST6y1nhsEG2Mikno0Hfw4V9NZE/9srU1WMraenp4dzz///LI9e/YUfDwajSqZTFYchQtjapzXPsNeXn+xlLN6rAMDAACAN319fWmWijIAACAASURBVK4usBOJRMH6DfXmOI4GBgY8bV/oYr7UMo2s7u7uWRfM6XRaS5YsCbydZfY4v/3tb6t2Dh82QS/ZWLNmjfbs2fPExMTE8gCHOQsBCgSiXICi0jffchfq9VwbFtQbdylhWAcGAAAA96o5iVUrQb4GrxNvboM7uRYvXqw9e/YUHG8kEtE111xz8ji1OIdvVrUIUFAkE1VX6XKEcoVxRkdHNTk5GUiKUiUZGrVoCeq3gCcAAABqq5L6DWE736u02GIhXgoweinOmeujH/2oYrGYxsfHlUwmtW/fPl144YXq7Oycc5xanMOjcgQoEJj8/sR+lyP4bW3khp/qvbQEBQAAQL5muQB2HEeTk5Nll2e4nYh0M/HmJbiTlS186XZij3P4cKNIJgKzZMkSOY6jDRs2yHEcJZNJjYyMVBScqKS1kVd+ixf5rUwMAACA5tMsF8D1KLboNbgjee9sxzl8uJFBgcCceeaZgaWn1SI1zm+GRpCpbwAAAGgOsVhMg4ODrus3hPkC2MvyjCB4De6cf/75npeScw4fbgQoEErVTo2rJEOj0JtT0KlvAAAAaAzFapg14wVwreqieQnuSNLDDz9cUQYH5/DhRYACdVXsjb3aqXFBZWhkU99oCQoAANAa3NQwq8cFsNui70FvFyQvwZ1EIqFly5ZVdBzO4cOLNqMIRE9Pz45FixYt27Rpk6vty7Ub+tSnPqUVK1ZUrT3Txo0bNTQ05Hr7T3ziE+rs7Cz5Bk1LUAAAgOZWqstcVnd3t7Zt26ZMJlOTC+By59XZou9Bb1ctXn7GQfz8OId3rxZtRglQIBBeAhRu33Quuugibd68uez+EomE5y4eXvsfRyIR5f5fqdUbdLOpRyQeAAAgKH19fa5n97Pnp9W8AHZ7Xv29731P7373uwPbLujimPnKBUnIbqgPAhRoGF4CFG7f2K+66io9/fTTVXmDTKVS6urq8tzGKKjj+9VoF/r1jsQDAAD45eX8sZIM30q4Pa+eP3++Dhw4ENh2lUwQVoLshnAhQIGG4TZA4fWNffv27brtttuqEj11+4Zejtc3aD/BhUa80K91mh4AAEA1eM3AdRynqoUlg5pwq0StAjAIl1oEKCiSiZryWpzy0UcfrVprIzfFi9wo1eUjl5uCSqWCC6Uu9KempjQ6OqrJycnQXej7becKAAAQBtXuMudG7kTXk08+WZfghFS6iDzgBwEK1FSlb+zVaG1Uqnpvfs2JUty8QQcRXHB7of+ud71LH/nIRwpmZlRzaUihfWcymUDauQIAANRbtbvMlVJsoqueqhGAAQhQoKbq+cZeSEdHR8EMjWQyqS9/+cuu91PuDdpvFkEqlXJ9ob97924NDAzMyszIjiH/Q+2GG27QqlWrdM8991S8NKRUZsgll1wSSDtXAACAeovFYhocHHS9VDkWi5Xcxu3EkZvlsvVQ7fN0tCYCFKipoN/Yg5KfoZG9qHer1Bu0l+BCsSwCL0tjsrKZGRMTE8pkMkqlUnO2yWQy2rJli7q7u/XYY4/p4osv9nSMcpkhO3fu9LQ/IvEAACCsFi5cqHg87qqGWTweL5oV6nXZ7wc/+MHQBSdqeZ6O1hKt9wDQWrJv7G6UemOvtlgspmjU3X+Pcm/QXutujI+Pz/m+16Uxufbt21cwOJHrxRdf1Jvf/Gb99Kc/9bRvN5khXhCJBwAAYeY4jrq7u0tu093dreHh4YKPZSd3RkdH55wfZieXent7dejQIaXTaV155ZXasmWL73G7rU82f/58V9vV8zwdzY0ABWrO7xt7LXgNpGQyGTmOo40bN8pxHO3fv//k40EUVPK6NKYSJ06c0IoVK3To0CFX23vJDHGDSDwAAAi7bA2zRCIxZzIrGo0qkUgEUlNs7dq16u3tDSQ4IU1nYbg5/85m1pbbrp7n6WhuBChQc37f2GvFTSDlwgsv1EsvvaSuri4NDAxoaGhIAwMD6uzsVF9fn9LpdCB1N7xkdPjx4osv6gMf+ICrbStZdlIKkXgAANAIsjXMksmkHMfRhg0b5DiOksmkRkZGip7Depnc2bx5c6BZqq94xStcnX9ffPHFDXGe3mpSqVTRydBmQw0K1EWx4pRBtA8NSqkuH9FoVFdccYV++tOfavPmzXOem9uZ47777lM0GvVVd8PLmke/HnroIVfdNPwsO8lHJB4AADQar13mgp7c8aK9vd31+XcjnKe3Cq/1SpoBAQrUVTXahwap1Bv0xz/+8bK1Hfbu3avbbrstkIJKjuNocnKy6kWSMpmMq24aXjNDli5dqqeeempOoCcej2t4eJhIPAAAaGpBTu54kT8B5vb8O3+77Cx+NdrVY65yxeizk6HNltFCgAJwodAbtJfOHNu3by8bXCiXRVAqoyNobrppeO3Iki3+SSQeAAC0olrUFCvE7zLaVpzFDwO39Ur6+/s1MjJSo1FVHzUogAp47czx6KOPBrKeL3/N4+LFiyt+DaW46aZRSUeWbKBn/fr16u/vJzgBAABaRq1qiuVauHChr2W0XrqOIDheJ0ObqSYFAQrUTSMXe6mkM0elBZXypVIp3X///Tpy5Iiuv/56LVy4sOT2F154oc466yzXY/XSTaMROrIAAACEgZfJnaB8+MMf9pX+72UWH8HxOhmazVRuBizxQM01Q5qYn84cldbdKPZzi0ajmj9/vn71q18pk8nM+n62vsOhQ4e0bNkynThxouxxvKQBliskSn0JAACAU9zUFOvu7tZFF11UsBC7V27O/YqpZBaf7NhgVDIZ2iwIUKCmmqXYi9f6C24zEoop93M7cOCAFi5cqA9/+MM6ceLEnPoO8+bN0xNPPKGVK1fqxRdfLHqcSrIdqPQMAADgjtvJnUwmU/Tczws3y3aLqWQWn0yKYPiZDG10BChQU81S7MVL289iGQmpVErj4+OuKiG7+bmlUint2LGj6M/tkksu0d69e/XBD35QDz30UMFsi1tuuUXf+c53KqrOHPaOLAAAAGHgdnLHb3F0v5NkrTyLX2+1ngwNEwIUqJlmSxNzm6KXn5HgdYlLkD+3jo4OPfjgg3M+EFeuXKnbbrtNb33rWxt22Q0AAEAjKTe5UyyQsXnzZm3ZsqXs/v1272jlWfx6C2IytFFFcmdRgUr19PTsWLRo0bJNmzYV3cZxHA0MDLjep+M4oZ+RL1UXolD9hVJLNbK6u7tnLXHx+nO79dZbdcstt3h6DV7HBAAA4JeXbFKcUqtzt1Qqpa6uLtez+Mlkkt9fgMJ4jr5mzRrt2bPniYmJieXVOgYZFKiZMKWJBfWBWC5FL9upJHucBx980PMSF68/t40bN+ryyy/XsmXLXG3fLMtuJE50AABoBM1QML2ealWkvJVn8cOgVYvRE6BAzYQhTaxaH4j5KXrpdFp9fX0VrxnMXarh9ef2wgsvaPny5UokEmVfT9iW3VQaYOBEBwCAxtAsBdPrrVZFyitd0oxgtGQx+kwmwxdfvr+WL1++4/rrr8+Usm/fvkw0Gs1IKvsVjUYzqVSq5P68OnjwYKa7u7vkcbu7uzPpdLrqx3Hz5ThOJpPx9nPz+nr+5m/+pqIxBe3gwYOZRCIx53VGo9FMIpHIHDx4sORza/F7BQAA/iUSCVfnHIlEot5DxYxy52mcY7WO66+/PrN8+fIdmSpeV5JBgZqpd5pYrZYyuDmOG9klLl5+bvmyr+fOO+8smJlQj2U3+VkSl156qa677rqKZ1KaaYkKAADNLGyZm+WwdHRaS87io36qGf3gq3W+3GRQZDL1m+2uVfaGn2yH/K/cbIWDBw9m2tvbK95XJBIpGPH+4he/6Gk/t956a8W/g2LRd7dfhWZS6p2VAwAA3AtL5mY5fjI7gWZWiwyKaNkIBhCgbLGXRCKhaHT2n180GlUikajKmsPx8XHXtSCmpqY0Pj5e9eOUkt/PuKOjQzfddFPF+8tkMrPuZzMTvva1r3naz49//OOKjp9dbzo6Olrxzyc7k5KrVr9XAADgX5gKphdT6pwle/7U29urQ4cO1XxsQCtgiQdqrh5pYrX6QPR6nGIKLXFZs2aNhoaGAgmAZKVSKU/bP/TQQxWlWwax7CUbYMgtRtoIJzoAAGBaGAqml8PS0VNY4oJ6IECBusnvfFFNtfpA9HqcQopVQvZTiyIomUxmTpCgHC/rTcvJDzA0wokOAACYFovFNDg46GqyJT+btBYarUZGtdAdDfXEEg+0hFgsNmdJSTF+PhC9HKfQccstcXEcR93d3RXtPyhesxCCWvYizQ0w1Or3CgAA/MtOtrhRjYLp5XhdOrpp06Yqj6j2WOKCeiNAgZZQqw9EL8e54oor5DiONmzYIMdxlEwmNTIyUrL+Rm4Nj3rxmoUQ1LKXQgGGsJ/oAACA2dxMthTLJq02r+cst99+e9NdqHtZ4gJUA0s80DIcx9Hk5GTJN90gPhDdHufrX/96RcVAszU8duzYocsvv1yHDx/2M1xPIpGI5yyEIJa9SMUDDLX6vQIAAP+yky2FlhBEo1HF43ENDw8HXjDdDa/nLEeOHClai8Jr/YYw1HtgiQtCoZotQvhqnS+3bUbrrVzbqKDam4bhOPLQxsvtV6FWn+UE0Xr17LPPLvkzq9XPGwAABCeVSmUcx8ls2LAh4zhO3duBV3LOkt/G3GuL0jC1NG2UNrCon1q0GSWDAi2lVh1EwnCcj3/844EW1Gxvb68oCyGI4p4vvviijh07VvTxenSGAQAA/tSyYLoblZyzZLuMXX311dq0aZO+/OUvF6zXla3fMDk5ebLeWLbeQ6Es0ELbVxvd0RAGkUwmU+8xoAn09PTsWLRo0bJmLBbUqEp96FXi5ptv1l/8xV/UbSyO44TqJAYAADSfdDqtxYsXe7r4Xrx4sfbs2eO6wGYikdDIyIj6+vpcBUOy21eb4zgaGBjwtD3nZq1lzZo12rNnzxMTExPLq3UMimQCTSq3oGZ+p4toNKqlS5d62p+fTIRSY3GLKD0AAKi2jo4O3XTTTZ6es3v3bk8dy8bGxvToo496rvdQbWHqjpZKpeQ4jjZu3CjHcWry+hEOLPEAmlippQ+ZTEZdXV1V60VeqNhT7li2bNmizZs3u96f1+4hAAAAlVizZo2GhoYCa5Oeb2pqSnfeeaenlqbj4+NVz1bwssSlWt3R0ul0wQKqg4ODisfjchxHHR0dgR8X4UGAAmgBxdZ4VuNDyM0HS39/v66++uqqBkgAAAAqEUT9rHKeffZZT9vXKpO0nt3RwlaTA/XBEg+ghQXdizz7wTI6Ojon8JD9YOnt7dWhQ4dOfvi7Ua0oPQAAQCFuzpH8OO+88zxtX6tM0nJLhBOJRNUCBOvWrStbr2zv3r3UvWhyBCgalDFmsTHmt8aYz1X4/HcbYx4wxhw0xvzSGJM0xtxjjLk44KEixIL+EPL6wRJ0gAQAACAI5c6RFi9eXPG+o9GobrzxxtDUe8iXXSKcTCblOI42bNggx3GUTCY1MjJSleBEKpUKXU0O1AdLPBqQMeY0SfdIOrOC57ZJ2iTpP0u6UdI11tpjxpjzJN0iaacx5gvW2s8HOWaEV1AtOiv5YFmwYIG2bt1acElINBpVPB7X8PAwaXwAAKDmSp0j3X///Z46XuSKx+NauXJl3es9lFPLNrDj4+Ohq8mB+iBA0Zg+LmmF1ycZY14p6fuS3iLpamvtA9nHrLXPSvrkTPDjc8aYdmvtx4IaMMLP74dQpR8sQQVIAABA7RQqht2sn9uFzpFisZgGBwc9F9LMzQytZ72HsDl69Kin7enu1rxY4tFgjDGvl/SFCp/+95oOTmzNDU7k+YKkFyUNGmM+UOFx0IK8frAkk8lZ97Mf/uvXr1d/f3/TnuQAANDI0um0+vr61NXVpYGBAQ0NDWlgYECdnZ3q6+tTOp2u9xBrwkstLanw0tl61nsIm7a2Nk/b092teRGgaCDGmIik/yHp5RU890pJ7525u6nYdtbao5KywYu7jDGv8XostCavHyx33HFHS53IAADQ6LwUw24Fbmpptbe369Zbby1av6Ee9R7CKBaLhbYmB2qLAEVj6Zf0dkkvVfDcL+bc/nGZbX8y8++5km6u4FhoQbFYTJFIxPX2mUym5U5kAABoZHRZmM1NBsTTTz+tW265pWxmaKtnktLdDVkEKBqEMeZCSbdJ+mtJnq7mjDFvl7R05u5LknaXecqOnNtrjTGeMzbQehYuXKjXvva1np/XSicyAAA0KrosFEYGRHDo7gaJAEUj+QdJ/1vSpyt47ntybv/cWpsps/2/59xuk3R5BcdEC0mn07ryyisrzoRopRMZAAAaUSXFsFtJq2dABIGaHJDo4tEQjDFrJV0m6Q+ttS8YY7zuYlXO7X3lNrbW/toY84KkV8x86wpJ3/N6ULSG7HrUcimfpZRrF9VKlcIBAAgjuiygFujuBgIUIWeM+T1Jd0j6e2vtP1fw/FdLyo1o/NrlU5+RtHDm9kqvx0XrcLMe1Y1CJzLpdFrr1q3T2NjYrFmbwcFBxeNxOY6jjo4O38cGAACl0WUBtVSotStaAwGK8Ps7Sb+R9MkKn//GvPtuw9nP6lSA4g3GmEi5pSG7du1SBdkdJ1lrK34uiqtm9oGX9ajl5J/IlMrMyFYKn5yc1H333adHHnmE7AoAAKooFotpcHDQ1TIPuiwA4eXneu2cc87R6adXN4RAgCLEjDHXS7pa0pXW2v+ocDcX5N3/rcvn5W73ck3XoiBXr4HUIvvAy3rUUgqdyLitFN7T0zPre2RXAAAQvGyXhdHR0bLb0mUBQKUIUISUMea1kv5K0jettVt87OrsvPvHXD4vf7uzVSZAsWTJEm3atMntuFBFbrMP/BYa8roetZiLL75Y995778kMiEwmU3FmRpCvDwAAnOI4jiYnJ0tOINBlAQg3P1nra9as0Z49ewIczVwEKMLLkfQ7SR/zuZ/f5d0/zeXz8rfL3w9CzEuf8pGRkVnf97IkxOt61GKefPJJPfnkk5KmMyAuueQS35kZxV4fAACoTLbLQqEMzWg0qng8ruHh4dBNDlBsG+XwNxIeBChCyBgTl3StpGustX6XVeRPcZ/p8nkvy7v/nM9xoEYq6VO+YMGCipaEeFmP6tbU1JR27twZyL5yXx8AAPCvkbosUGwb5fA3Ej4EKELGGNMu6W8l3WetDaL6YDLvfv6Sj2JekXP7oLX2pQDGghqopE95IpGoaEmIl/Wo9VCufSkAAKhM2Lss1Gq5a7PPvDfz66vV3wi8IUARPn8l6QxJAwHt7+eSXtCpgMNrXD4vd7tgprNRE5X0KXe7JOTyyy9XX1/frA8oN+tR64k+7AAAtB4/y11LyV6w79+/X9///vf11FNPNeXMeytkFlTrbwT+EKAIn6s1Xe9he4kWMK/Luf0xY8yf5dz/pbX27dk71trjxphHJP3hzLfKhv+MMWdIOi/nW/9aftgIC691IbwUpMyvFZH9gCq2HjUMqtWHvZlnFAAAaGSVLnctpdgFe75mmHlvhcyCavyNIBgEKELGWlv2asoYk5R04czdr1hrP1fmKd/TqQDFG1wMw0iK5twPYqkJqiT/Qrmnp0fRaNR1n3JJFQUV8j+gsutRY7FYYDUk/KpGH/ZWmFEAAKCRVbLctdRylVIX7MU08sx7K2QWBP03guAQoGgN/yjpLyW9XNIFxpg2a22pdQAX5dzeZq39t6qODhUpdqEcjUZ1wQUX6MCBA2X3EY/HFYlEfI0j9wMqk8noqaee8rW/fEuXLp2TPumWlz7sbjIiWmFGAQCARlfJctdS3FywF9KIM++tklkQ9N8IghMtvwkanbX2sKS7c751aZmnvC3n9peCHxH8yl4oj46Ozrlwn5qa0oEDB3T66aXjj9k+5UG0Cs1+QHmJRrsRjUY1Pj6uZDIpx3G0YcMGOY6jiYkJdXd3l3yu2z7s6XRafX196urq0sDAgIaGhjQwMKDOzk719fUpnU6f3NbLjAIAAKgPr+c2pZaDerlgz5edeW8klWQWNKIg/0YQLAIUrePzkp6Zub2qzLbZx39grW3Md50m5+ZC+fjx45o/f/7JZRxZ0WhUiUTi5Cx/LBabs41XU1NT2rRpk7761a/62k++yy+/XAsWLDhZKXz9+vXq7+/X8uXLtXXrViUSiTljj0QiWrx4sdauXatjx46V3H+5QM/o6Kh6e3t16NChimYUAABA7Xk5t4lEIicnQgp9dvudfGm0mfdWySzw8jdSjSXDKI4ARYuYyaJ4n6QTkt5njDmn0HbGmHdIWiIpLen9tRsh3PJyoXzw4EFt27ZtVvZBMpnUyMjIySUI2Vahft1+++3avXu37/3k2rJly5wshqxsH/ZkMqlbb71VixcvViQSUSaT0e7du/XpT3+6YBZELi8ZEa0yowAAQKPzcm6TyWT05S9/uWj2pNcL9nyNNvPeKpkFXv5GvCwZhn8EKBqMMeYsSefmfOu1bp9rrX1I0gclnSPpm8aYM/P2fYGkb0g6KOkya+1B3wNG4LxeKE9MTMzKPij0Bus4TtklE+VUK4Kem8VQyBlnnKG7775bu3fvViaTmfVYfhZELq8ZEfv27fM07kadUQAAIKxSqZQcx9HGjRuLZjxkVXJukz1vWLly5cnzBj9LYRtx5r2VMgvc/I24XTKM4BCgCDljTJ8xJpn90nTwIPed8iPGmP052/yk1P6std+U9E5JnZJ+Zoz5gjHmo8aYr0h6WtIOScustT+ryguCb9VIvevo6Ci6ZCIMStV1qLQuhNdAj9cARaPOKAAAEDZe6kVl+Tm32bdvn9auXSvJ2wV7vkaceW+lzIJSfyP5S6JRO3TxCDlr7YikQPv3WGu3GWOWSeqR9FZNBzyelLTUWpsM8lgIXrVS77JLJrLFLo8cOaLR0dHQtAwtVCnaT6Vpr4GehQsXemrf2sgzCgAAhIWfDlr55za/+MUvdMcdd7g67ubNm7V///6TF+yjo6Oext3IM++O42hycrLsBNBLL72kdDrd0O3VC53/tre3KxaLNXTwpZGFb6oUNWGtzVhrH7fWDltrb7XWfp3gRGOodupdbkHKLVu2lE1985op0NHRocsuu8zTc6TCdR381IXwGujp6upqmRkFAADCIogOWtlzm1e96lWejn3vvfdK8rZcpBlm3rOZBVdddVXJ7TZv3lxyGW4jyS/Iznlc/RCgABpMLVPv3KS+3XTTTZ72uX79er3zne+saDz5y1X8LHepJNDDWkUAAGonyA5aqVRK9913n6fjP/bYY5JKnw9FIhEtXbpUN998c8Fi5I2qo6NDZ511VtntaK+OoLHEA2hAblLvgrpQLpf6lkqlNDQ05Gnpw/3331/RWPKzNfwsd/GSspkb6Nm6davWrVunsbGxWa85Go0qHo9reHi44U9KAAAIg0oyJfMvltPpdMHPba9abSmAn2W0gB8EKIAGlI3k1/JCOZv6ls/rhf4ZZ5yhBx98sKIx5C9XicViGhwcrLguRCWBnlY7QQEAoF78FgYvVb/CjcWLF8/5XrHzoWYTRHAIqAQBCqBBhelC2e2F/mc/+1lfJwr5Ks2CyPIT6GmVExQAAOrFb2FwN/UrSvn2t7+tG2+8sSUzI6vRNQ5wgwAF0ODCcKHs9kK/v7/f14lCoei83+UuYQr0AACAU/xkSnpZolBMKpVSf3+/RkYCbajXEKrVNQ4ohwAFgEC4qVXh90ShUHQ+qOUuYQj0AACAU7xkSi5atEj333+/Vq9erQULFnhaolBKq9ZX8LuMFqgUAQoAgSp2oR/UiUIhZEEAANCc3GRKStLu3bs1MDCgwcFBxeNxGWMCOX6r1lfwu4wWqBQBCgA14XUtYyXIggAAoLmUypQsZGpqSqOjozr//PMDG0Ox+gqpVErj4+M6evSo2traTmZvNJJSr6GWXeOArGj5TQDAP69rGQEAAKRTmZLJZFKO4xTsrpHvmWeeCez4+fUV0um0+vr61NXVpYGBAQ0NDWlgYECdnZ3q6+tTOp0O7NjV4uY1ZINDiURC0ejsy8ZoNKpEIqFt27a1ZBFRVA8ZFABqwstaxmIowAQAQOtasGCBrr76at1www01O2Z+fYVSrUuz2RuTk5OhvnD38hpYRotaI4MCQE1k1zJWigJMAADAa02rV7/61b6Ol19fwU3r0r1794Z6yanX15BKpXT//ffryJEjamtrIziBqiJAAaBmHMdRd3d3Rc+lABMAAPBa0+o973mP5s+fX/Cx0047reRz8+sreOlIlu3+ETZeXsN3v/tdXXnllQ29lAWNhwAFgJoptZaxFAowAQAAyXtNq29/+9s6cOBAwcdOnDihs88+W5FIZNb3i9VX8JK9ke3+ETZeXkMmk9GWLVvmbJ9dBtLb26tDhw5VY5hoYdSgAFBThdYynnbaafrxj3+shx9+eNaHYDQaVTwe1/DwcGjXcQIAgNrxWtPq8OHDJR9//vnndcUVV+iqq64qW1/Ba/ZGse4f9RRkV7XsMpCRkZHA9gkQoABQF/ktQW+55RYKMAEAgJKyNa1GR0cD2+fDDz+sr33ta2XPObxmb4SxuHfQXdWyS1k4X0NQWOIBIDSyQYv169erv7+fDzsAADCHm5pW559/vuv9uV2OEYvFXC9RDWtxby+vwY2wLmVB4yJAAQAAAKCoVColx3G0ceNGOY5T9+KPpWpaZetHrF271tM+3SzH8NKRLKzFvf12VSskjEtZ0LhY4gGgIaVSKY2Pj+vo0aNqa2vT6tWrQ3kiAABAo0qn01q3bp3GxsZm1XwYHBxUPB6X4zjq6Oioy9gK1bTKXR7qOI6n/bldjuE4jiYnJ0u26Qx7cW83r8GLMC5lQeOKZDKZeo8BTaCnp2fHokWLlm3atKneQ0GTK3aylC2oWc+TJQAAmkU6nVZvb2/ZC/H8ThdhkUql1NXV5aqYZjQaVTKZdD3RUe5cpBGKe5d6DZdffvmcwuXFeP3ZobGtIyhSSgAAIABJREFUWbNGe/bseWJiYmJ5tY5BBgWAhlHqZCnb8mpycjK0J0sAADSKdevWlZ1hD3MXBy/FNL0uxyiXvdEIyr2Gvr6+qvzsgHLIoEAgyKBALbj9sEwkEqE8WQIAoBFUM/uglho9C6Se+NmhkFpkUFAkE0DFalk0K5VKaWxszNW22ZZXAADAu/HxcVfBCSncXRzcFNPkArswfnaoF5Z4APCsHkWzKjlZ6u/vD3QMAAC0gqNHj3raPsxdHJphOUa98LNDPRCgAOBJvepANNPJEgAAYdbW1uZp+0bo4rBgwQImLirEzw61xBIPAJ54KZoVpGY8WQIAIIxisdictP5iotGoYrFYlUcEoFUQoADgWjXrQJSrZ+HlZEmSVq5c6XpbAABwSrYDhht0cQAQJAIUAFyrRtGsdDqtvr4+dXV1aWBgQENDQxoYGFBnZ6fe/OY36+abb5bjOIpEIq5PliTpuuuu06FDh1xvDwAATnEcR93d3SW36e7u1vDwcI1GBKAVEKAA4FqQdSBSqZRuvfVWLV68WKOjo3MCH1NTU9q5c6f+8i//8mTA4qWXXtKFF17o6tjVWGYCAECroIsDgHqgSCYA14KoA1GsA0g5U1NT2rx5s+bPn+/6OdllJqSeAgDgHV0cANQaAQoArsViMQ0ODroKLBQqmlWqA4hbBw4ccL0t7UYBAPCPLg4AaoUlHgBc81s0y00HkKDRbhQAAABoDAQoAHhSadEsLx1AgkS7UQAAAKAxEKAA4EmlRbO8dAAJSiQS0fLly0u2LwUAAAAQDtSgAOBZJUWzvHYACUImk9Gll14663s33HCDVq1apXvuuUcdHR01HxMAAACAwghQAKiYl6JZXjuAlBKNRvWqV72qoqBHJpPRli1b9PrXv16PPPKILr744sDGBQAA6i+VSml8fFxHjx5VW1ubVq9eTdcRoEGwxANATcRisTlLQio1NTXlOyPj+eef16WXXqpDhw4FMiYAABCcRx55RNdee60uu+wyXXvttXrsscfKPiedTquvr09dXV0aGBjQ0NCQBgYG1NnZqb6+PqXT6RqMHIAfZFAAqIlsB5DR0dF6D+Wk559/Xh/4wAf04IMP1nsoAABA0lNPPaUrr7xyTlvxkZERzZ8/Xw8++KAuueSSOc8r1cp8ampKo6OjmpycLFgnqxWRZYKwIkABwJUgPsgcx9Hk5GTJVqNtbW2aP3++du/erUwm43fYZT300EPav38/H8oAANTZU089peXLl+v48eMFHz9w4ICWL1+uyclJLVmyZNZjblqZ7927V/39/RoZGQlszI0mnU5r3bp1Ghsbm1W8fHBwUPF4XI7jUKMLdUWAAkBJQX6QZTuAFNpfNBpVPB7X8PCw5s2bN6sAZyaT0Wc/+9mqBCwymYzGx8dd19IAAADVceWVVxYNTmQdP35cq1at0i9/+cuT3/PSynxsbCywiYlGy0IgywSNgAAFgKKq8UHmtgNIbgFOx3Gqmk1x5MiRqu0bAACU98gjj8xZ1lHMgQMH9Nhjj2nFihWSvLUyn5qa8j0x0ahZCGSZoBEQoABQVDU/yLx0AKl2i9L29vaq7h8AAJR25513etr+jjvu0H333SfJ+3mCn4mJRs1CqFeWCeAVXTwAFFTJB1k1pNPpqhbWjEajisViVds/AAAoz2vQ4Nlnnz1522srcz8TE14mb8KkkiwToB4IUAAoKAwfZNlZip07dwa+76x4PM4MAQAAdeY1aHDeeeedvO2llbmfiYmwTN5UopZZJoAfFQUoIpHIiZB/la6uA6CsMHyQuZml8OP888/Xn//5n1dt/wAAwJ0bb7zR0/af+MQnTt7OtjJ3w8/ERBgmbypVyywTwI9KMygiDfAFwId6f5B5maUo5Nprr9XExISuuOIKRSKF3xKeeeYZveUtb1FfX5/S6XTFxwIAAP5ceumlmj9/vqtt582bp8cff1wbN26U4zjav3+/HMdRd3d3yed1d3dreHi44jGGYfKmUrXKMgH88rPEo3ol9QHUXb0/yLzMUhQazx133KHly5frwQcf1OOPP65Xv/rVBbfNFrTq7e3VoUOHyu47lUrJcZxZJ0UAAMC/u+++u+y5RyQS0aFDhzQwMKChoSENDAyos7PzZFeNRCIxZx/RaFSJRMJ34cp6T974UassE8AvP108fiHp/5JkAxqLX1FJb5d0j5qotoYxJirp3ZLeI+l1kroknSnpoKRHJY1Ietha6ylgZIx5t6QPSVou6YSk45L+SdJd1tqfBvYC0LCyH2RuClRW44PMT+eO/PHcdtttOnz4cMnnlOtG0qgtxQAACLtin7H5TjvtNJ04cWLO9/O7Z9x1110lW5lXKhaLaXBw0NUEShizEBzH0eTkZMnls36zTAC//AQoRjKZzD8FNpJg/CISiXxM0tJ6DyQIxpjXS/qqpB9K+oi19vDM97sk9Uv6uKS1krYZY/6btXa3i322Sdok6T9LulHSNdbaY8aY8yTdImmnMeYL1trPV+VFoaHU84PM6yxFVv54gmir1agtxQAACLtSn7FZZ599tt70pjdp27ZtJfeVO9lQjS4a9Z688aujo0Nbt24tGAyKRqOKx+MaHh7mXAZ15SfT4GeBjSJYu+o9gCAYYy6Q9F1J/7e19kvZ4IQkWWt/Ya29SdKfznzrbZK2GmMWl9nnKyV9X9JVkq631v4Pa+2xmX0+a639pKS/kvQ5Y8xXgn9VaDTZD7JqpksW42WJSanxBFHQqlFbigEAEHZuPmOff/75ssGJrGp3z6hFrYtq6ujo0MjIiJLJpBzH0YYNG+Q4jpLJpEZGRghOoO78ZFCENRAQ1nF59RVJX7fWThbbwFr7LWPMtZJWS2qT9IAxZrG19qUiT/l7SW+RtNVa+0CRbb4g6cOSBo0xT1prv175S0AzyH6Q7d+/vyrpkqVcfPHFevLJJ8tut3TpUo2Pjxccj9+CVkFkYAAAgLn8FsQuJDvZUK1Jg2bJQliwYAETKwilSgMUU5KeDnIgAdqtBu/iMZM9kZC0wcXm92g6QCFN16d4v6SvFdjnlZLeO3N3U7GdWWuPGmMekHStpLuMMQ9Ya3/tYfhoUrX6IHO7DjWru7tbDz30UNETAb8FrSrJwOADHwCA8vwUxC6l2t0z6jl5AzS7SgMUl2YymWKz9PX2r5JW1nsQPl0s6TRJC1U+I2Qi7/5VKhCgkPTFnNs/LrPPn2g6QHGupJsl3VRmeyAQbtahZrmdpfBb0KqRW4oBABBmfgpil1Kr7hlkIQDBqyhAkclkHg96IEHJZDL/IWl7vcfh06tm/v2mMeZuSaPW2mI/82fy7r8+fwNjzNt1qnDoS5rOMillR87ttcaYIWvti2WeA/jmZh2qVHpJRz6/Ba0auaUYAMC/VCql8fFxHT16VG1tbVq9ejWz5AGptCB2KWHsngHAvaZpx9lksq1bX63pDIbHjDEfKbLtOXn3C7UbfU/O7Z+7aEn67zm32yRdXmZ7wDcv61CfeuopT/v2U9DKS7FOTooAoHmk02n19fWpq6tLAwMDGhoa0sDAgDo7O9XX16d0Ol3vITY8rwWx3Qhj9wwA7tU0QBGJRM6r5fEa2E5JucUxI5ouXFnI/Lz7hWqDrMq5va/cwWdqTryQ860ryj0H8CuIbhvF+OlGks3AcIOTIgBoDtklh6Ojo3M+m7LtpXt7e3Xo0KE6jbA5ePmMveqqqxq6e0YqlZLjONq4caMcx6lqpxGgkdUkQBGJRP4wEonsl/TrSCRyIBKJ9NbiuI1qJsPhg5JyQ/M7imx+Wd79b+beMca8WpLJ+Zbbgpe5S0cavaYHGkC1az34aavV6C3FAADe0F66dtx8xra3t+ttb3ub7rvvvrq0PveDTBzAGz9tRl2JRCKvkTSqU3UVOjS9bMF3HnQkEolIOl/S/8lkMk1VI8Fau9MY83pJ79R015Qf5G9jjIloumtH1gPW2vxp5Tfm3Xd7Vfespot0StIbjDGRcktDdu3aJWNMqU1KstaW3whNq1a1HiopaNUsLcUAAOXRXrq2jh07prVr1+pb3/qWnn76aWUyc083jxw5ok9/+tMaGhpSPB7X9u3b9eijj4a+e0ap4t/ZTJzJyclQBlbQvPxcr51zzjk6/fTqhhCqHqDQ9PKAtKRPSvobSWdKOuhnh5FIZImmW3D+saSzZr7375LuzGQy/+BrtCFirX1e0oMlNvnv0v/P3r3Hx1nXef9/faeUU0UbBQnUpk2uVVvOthWK0fWwKsRiSpqI3hJ1YevqbhOiLvcuh5aD7V3YRcW998rqKgfdu/sTaUI0Syl4QAQrIC0pVaCrXiWdWpnKoRVFoEK+vz9mpp0kc7iumeu6ZpK8n49HHp2ZXIdvi85c87k+B07JPP4J8NE82xw35vlLPk+fu90RpHtRaDyBRKbSaRtR00gxEZGpQeOl41ForLgxhkMOOYQ///nP4/aZaF/qg2Ti9PX1xbQqkdoWR4DiGOB+a+3XjTGPAm8Fbi73YMaY9wLfJR2YeAr4Fum7/acBXzXGnG6t/WTly65tjuOcBvxL5umPgA9mAhpjzRjzfL/PU4zdbgYlAhQnnXQS69at83l4kdEqnbaRK8qO6xopJiIyuWm8dPSKZRZYa/MGJ3JNhC/1ysSRWlVJ1npnZyfbt28PcTXjxRGg+DHQbYw50lr7U2PMEHCuMWYh8Crgd8CPrbU/LHUgY0wd8F+k7+j/CGiz1j6X8/u3A4PGmE3W2m9E8HepCZngxA9IT/D4v8DFnucVeicf+/o0n6cZu13xTwqRELiuy9DQUNG7DcV6PRS6G9PT00NbWxuu61JfXx/6ukVEZPLQeOlwFLtZ4HeseDG1/qVemTgi5Ym8Saa1djNwC/CgMeZq0lMk1gGfBT4JXA58zxgzZIx5Y4nD/S3pjAwL/FNucCJzrp8A/wBcbYyJI/gSO8dx3kc66HMY8BHP83qKBCcAxt4GONTnqQ4b8/z3PvcTKVsl0zbUcV1ERMKg8dKVKdUUcvPmzb4zC4oJOtErbsrEESlPLF/irbWXGGMOB1aO+ZUhHWwAOBXYZIx5r7V2W4FDnZPz+OEC23yTg/0pivVvmHAcx/kb4KvAdqDD87z/8bHb8JjnY0s+Cjky5/GTnue96HM/kYqU2+tBdZ4iIhKGMEsOpxo/TSHvuece35kFpdTyl3pl4oiUJ5YAhTHGId3Q0WResqT7RrxIuvli9kvz0cD/M8YssNa+kudQJ2T+fMlam/edzVo7YowZIN2cc9IEKBzH+T/AZaTHiP6d53l/8rnrr4E/cTDgcIzP/XK32+pzH5HQBOn1oDpPEREJU6Ulh1OVn5sFzzzzTGjnq+Uv9bXe/FukVkVe4pFxGemSgS1AB1BnrT3GWjvbWnsU0ARcSroJ40nAxwsc5zU+z3cf6YyMCc9xnGmO49xEpiTG87xPFApOOI5zouM4S3Jf8zzvZeD+nJdKtjt2HGc68Nqcl+4NvnKR+JRT5ykiIlJIJSWHU1WQmwVhiPNLfTKZxHVd1qxZg+u67Nq1q+Q+2UwcP5SJI3JQ5BkUxpgjgfNI953463yZD9baYeCfjTG3kO6vcB75J334Daj8Eih/wGtt+RqwBDjT87xHSmzbAkwHNox5/TvAX2Uel+rzAel/u9x/6/g+bUTKoDpPEREJm8ZLBxPkZkEY4vhSX2nzbWXiiAQXR4nH20mXcnyqUFlGlrV2pzHms6TLGCrxNP6zLWqW4zgrSGeTnO4jOAGwgHSAZ6xvkR5JegRwnOM4Mz3PK/aNbn7O45/67HUhUjWq8xQRkahovLQ/QW8WVCKOL/V++mkMDQ0VzaTJZuLkC3IkEgna2tro7e1VJo5IjjhKPOYDP7TWvuBz+w3AkcaYoyo458uMn0IxoTiO8zrgWuC7nucN+dj+COB9pMtkRvE87xnghpyXzixxuLflPP7n0qsVqS51XBcREamuoDcLjj766LLPtX79+si/1Adpvl1MNhNneHgY13VZvXo1rusyPDxMX1+fghMiY8QRoDgMeK7kVhnW2v3ASxTvlXCoMWZakd8fTTprYyL7KPAqwDiOUzDTxXGchOM4jcA3SP+9ny2w6dWkM0sAzi5x7uzvv+95nor1peapzlNERKS6gt4suPPOO/P2+PDj/vvvL71RBcppvl1KNhNn5cqVrFixQtciIgXEEaBIcXD6RknGmLnA4RSfNmFK/P5Y8mQSTDAfyPy5DNjvOM7L+X6APwM7SPftgAJ/70wWxceAV4CPOY6TN0PFcZy/JN2oNAV8Iry/jki0XNelqamp6Daq8xQREYlG0JsFCxcuPJBZcM455wQ6V9S9pNR8W6R64ghQPAosNsY0+9z+f5MeQ3pcie1mFfndycCwz/PVqtNyHhtgWoGfsf8NC2VQ4HnencCFwFHAfzqOc2ju7x3HOY50JsaTwHs9z3uysr+CSHzUcV1ERKS6yrlZMHv2bM4666xA54m6l5Sab4tUT+RNMq21W4wxvwG+a4zptNbemW87Y8yhpMsQPk36S/Y7gdvyHTLz53tJjy3N5xxgW0ULryLHcRIUzxAppug7pOd5/+k4zq+BXuBRx3G+RTpb4k3AXwPfB7o9z0uVeX6RqsnXcd3a9FuGMYb169ezdOlSpVWKiIhEIEhTyGQyyeDgIPv27WNkZARjzIHP7GLi6CWl5tsi1WP8vBFUfBJjPgd8gXRwYRvpL8FPkO4TMZN0ScEHgdeRbnD5TuBGa+2JOceYAfwhc4w9wBPW2nFZGcaYY4DdwPnW2vUR/rUmNMdxDLAIOJ30xJMngR95njdczvEWLVq0Zd68eQvWrVsX3iJFKlBoNFj2AqnUaDAREREpX6HxrIU+n/1qb2+nr68vghUflEwmaWxs9LW+RCLB8PCwbn7IlNDZ2cn27dsf3rx588KozhHHmFGAfwU6SZctnJL5Gctk/rzGWvuAMSZpjPlf1tpvZV4/OWfbK4GrjDFnWWvvGnOca4H9pKeBSAGe51ngocyPyKQSxmgwERERKV++8azFPp/9iKuXVLafRn9/f8lt1XxbJFxx9KDAWvsK6RGYW0kHIsyYTbLPv26tvSrz+GLga8aY640xK4CvZV7/HfBt4KtAnzHmM8aYE40xi4wxN5EuU7jBWvunyP5CIlLTwhoNJiIiIuHx8/mcTzV6San5tkh1xJVBgbX2mUyjzH8kHUSYk/nVCLAZ+L/W2v/K2f5RY8zfkg5EZCdO/B74uLX2OWPMWtJ9KL7Ewb4UBtgOXBXt30ZEalU5o8F050NERKaK3N4PM2fOjK03U5DP50QiwdVXXw0wqjwkTkH6aYhIeGILUABYa18g3QjzamPMTOBI4Flr7YsFtv+WMeYO4B2ksz1+aq19OvO7V4wxZwH/BCzN7HIPsNZaG6z1rohMGuWMBlMmhYiITHaFej/09PTE0psp6OdzXV1d1T+f8zXfrlbARGSqiDVAkSsTRCgZSLDW/h64vcDvXiQT8Ah3dSIyUVUyGqxad5VERESiVAu9mSby6M58/TREJBpVC1CIiEShnNFg1b6rJCIiEqUgvZmimpCh0Z0i4kcsTTJFROLS2tpKIuHvrS2RSLB48WKam5vp7+8fl3qavavU3NzMnj17oliuiIhIpMrpzRSFoJ/Pra2tkaxDRGpbzQYojDGvq/YaRGTiyY4G86OtrY1rrrmmZiZ+JJNJXNdlzZo1uK4b2UWiiIhMHeX0ZopC0M9nlViKTE1VKfEwxswFPgi8CzgBOAZ4GZib0zDza8aYs4EfAv9hrd0Q/0pFZCJyXZehoaGigYempiYuvfRSTj/9dF/HjHLih0pMREQkKtXu/ZDb32nBggU89NBDJJPJgttrdKfI1BZrgMIY0wh8HvgwMC33V6RHhR4D7AKw1rYbY94InAfcYIx5GDhfEzpEpBS/o8HWr19f9YkftdC4TERkqpvMTZKr1fuhUPA9kUgwa9Ysfvvb32KtHfW6RneKSGwBCmNMM/BdoI6DAYlxm+U+sdb+Cvg/xhgX+H/AD40x77DW/inq9YrIxOZnNFi17ypBbTQuExGZqqZCBltrays9PT2+AvJh9X4oFXzfvXs3DQ0NfPrTn+aVV17R6E4ROSCWAIUx5q3A94DDORiEsMDvgBTwJ6BgnrW19vfGmDbgXuAaoCfSBYvIpFFsNFi1O4oHaVx22223RVZiIiIyFU2VDLZs74f+/v6S24bV+8FP8D2ZTLJlyxYF30VklLiaZP4HcASwB7gWeCfwamvt8dbaBdbatwPPFzuAtfYV4NPA3xpjgn2rEBHJo9odxYM0LrPW0traSiqVCnUNIiJTVZAMtonOdV2ampqKbhNW74damRpSK9QAWySYyAMUxpi3AKcBNwJN1trLrLX3lVOmYa39OfAI8J6QlykiU1C1O4oHLTHZunWrRp6KiIRgqn2JzvZmam9vHxeYTyQStLe3h5YpUitTQ6otlUrR0dFBY2Mj3d3drFq1iu7ububOnUtHR4duOIgUEEeJx+nAL4G/tbmdcMr3C2BOCMcREfE98SPfXaVKm6oFLTEB9aMQEQlDOV+iJ3omhZ/eTGGohf5O1TZVyodEohBHicdrgU0hBScg3cdiWsmtRER8KOeuUlh3RYKUmOSaDHfzRESqaSp/ic72Zlq5ciUrVqwIPTuw2v2dasFUKh8SCVscGRR/AMIMDS4i3XBTRCQUQe4qhXlXJEjjsrHnmQx380REqkVfosOXzSocHh7GGIOfe5NR9HcqJo5xsuWUD6kBtshBcQQohoAvGmPebK39n0oOZIz5CPBGYGsoKxMRyVFs4kdW2GNB/ZSY5DOZ7uaJiMStGqM3J6tCo1r9iKK/Uz5xjpOdiuVDImGKo8Tjp8Bu4HvGmLeXexBjzMdIN9rcZa3dFtbiRET8iqKpWrbE5NRTTw20Ft3NExEpX7WbJE8W2azC/v7+wMGJQw45hKuuuiqaheUotsZs5mOYDaincvmQSBgiD1Bkek9cAswGfmyM+Z4x5mPGmFn5Ns8+MMYkjDGnGGM+Y4zZCnyDdP+Ja6Jes4hIPlF1Jq+vr2dwcLCqI09FRKaaOEdvTlZ+sgoLefnll2MJUMTdD0LlQyKViSODAmvtrcC1gAH+inSwIWmMedYYM2SMuQ+YAfQZY35mjPk18AKZ8hDg5My+9wJfi2PNIiJjRXlXRHfzRETiFefozckoSFZhIVE3fa7GONkgDbB1w0FkvFgCFADW2ss4mP1gMj8zgVOBt5Huh7Eo89METM9sk91+M7A0xGkgIiKBRH1XRHfzRETilW2SPDw8jOu6rF69Gtd1GR4epq+vT8GJIoJkFRYSJNuwHFFlPhajGw4ilYktQAFgrb0ceDujm1zaPH/mBiH2A18Amq21z0W+SBGRAqK+K6K7eSIi1RH16M3JKGhWYSFR9mCoVj8I3XAQKV8cUzxGsdbeb4xZCLwfOA94JzCX0cGS3wM/A+4GbrLWPhX3OkVExgoyFrTcuyJBRp6KiIhUS9CswkKi7MFQrX4Q2RsO+SaHJBIJ2tra6O3t1Q0HkTxMLVRMGGMOBV6bebrXWvtSNdcjwS1atGjLvHnzFqxbt67aSxGJVLYbeLGGW01NTcp0EBGRSS2ZTNLY2FhRmUcikWB4eDiyAHyQNUa1Ft1wkMmks7OT7du3P7x58+aFUZ0j9gyKfKy1+4FUtdchIlKK7oqIiIgEyyosJOweDMlkksHBQfbt28fMmTNZunRp5JmPpWTLh0TEn5oIUIiITCQqwxAREUn3WhgaGipr1GhdXd24Hgz5Agx+PldTqVTeGwc9PT20tLTQ0NBAMpksuL/6QYjUjgkVoDDGTAdarLXRtfsVEfGpkrsi5V6EiYiI1IrcrMLbbruNIKXjxxxzzIFsw2IBhra2NlzXpb6+Pu9xipVejoyMsGHDBubMmcOSJUvYuHGjMh9FatyEClAArwYGgGnVXoiISDkquQgTERGpNdmswtWrV3PFFVf43u9Xv/oVu3btYvr06UUDDP39/QwNDRXs7dTV1VUyg2Pnzp0sWrSI4eFhZT6K1LiaaJLplzHmdcBT1tpYx6NKaWqSKVKaGmyKiMhklUwmmTt3bqAsCtd1+dGPfuSrR0R7ezt9fX3jzlntJpgiU0kcTTLL+qJvjDnKGPPquH+A04GJE1EREcnh5y7Pjh071ExLREQmnIaGBubPnx9onyeeeIKBgQFf2w4MDLBr165Rrw0ODvqeIjIyMsLgoKrERWpduSUeSdLlFiIi4kMymQx8ERbGXR71uhARkbicf/75XH755b63TyaTgQMMuUH8ffv2BVrf3r17A20vIvGrpAeFCW0VwSiDQkQmhNzgwCOPPFLRRVhQ6nUhIiJx6+zsZOXKlb7KPBKJBHPmzAl0/LEBhpkzZwbav66uLtD2IhK/ajTJtAQPbpSzj4hI5PJlKEyfPj1vcCCISu7ylOpoXqrhmIiISDkaGhpYtmyZr54SbW1tgQMUYwMMra2t9PT0+O5B0draGuh8IhK/SgIUnwR+EHCfDwDXAvcC3wMeAZ4C/jRmuyOBY4BTgPcDC4GLgM0VrFdEJDSFMhQuuugijjzySJ5//vmKjl/JXZ4gvS7GNhwTEREpVyqV4sUXXyy5XVNTE729vbz00ku+AwwAZ5555qjnDQ0NtLW1+Q6IqMRRpPZVEqD4vrU26XdjY8yXgSZggbXW87HL46QDGa4xxgG+ALzZWru2rNWKiISkWIaCtbbi4EQld3mq1etCRESmNj+TqrLmz5+PtTZQgAFg7dq14wLrrusyNDRUckJWb2+vr3OISHWVO64zUB8IY8yVwFHAUp/BidEns9az1rYBc40x/xR0fxGRIJLJJK7rsmbNGlzXHdc13E+GQiUqucujjuYiIlINQT4bN2zYQHNzM3v27OGSSy7xfY58kzzq6+vZtGkT7e3tJBKjv9okEgna29tV0igygZSbQeEmiB5TAAAgAElEQVS7H4QxZhZwATDfBhmMnN9ngMeMMeustbsrPJaIyCh+Gkvu37/fd4ZCOSq9y6OO5iIiErcg2XtZ2VLDd73rXb73KdREur6+nr6+Pnbt2sXg4CB79+6lrq6O1tZWZQmKTDDlBijOAVI+t20B7rfWvlDmuQ6w1v7JGHN/5pg3VHo8EZEsv40l/+Zv/qbsxpfFJBIJ2tra6O3tregujzqai4hIVAqNrg6SvZdrYGCAxsbGQPsUC6zPnj27oglYIlJ9ZQUorLWbAmx+NOWXkuSTyBxTRCQ0fhtL/td//Vdo5/zQhz7EKaecEupdHnU0FxGRsJXKMHQcp6zjjoyMsHPnzkD7hBlYLxRwEZHqiWPM6G7gUmPM0dbapys5kDHm9cDZwO2hrExEhGCpqY8//ngo50wkEnzxi18s+0Ko0EWVOpqLiEiY/GQYHn10+fcOGxoaSCQSsQbW/ZR01tfXV3weEQkuzMyGQn4AHAF83xjzxnIPYox5E/B94HCCjzcVESkoSGqqtRZjfLfhKajc4EAqlaKjo4PGxka6u7tZtWoV3d3dzJ07l46ODlKpFK7r0tTUVPQ46mguIiJ++MkwfPrp8u9BNjY20tbW5mvbMALr2YBLf3//uM/+bMAl28BTROIXeYDCWvsk6X4RpwK/MMZ82xjzIWNMyXcXY0yDMeY8Y8y3gZ8DJwE3Z44pIhKKoI0l58+fX9H5yg0O+L2oMsaoo7mIiFSsnOaXQWQzIuIMrPst6VQvC5HqiKPEA+AfgbcBpwAdmR+MMS+QLgHZB7yY2fZwYCYwi3TmRZYBfgFcHM+SRWSqCNpYsrOzkxtuuKHoBc6MGTN44YUXRgUSKm2EGeSiqq+vTx3NRUSkIuU2v/QrNyNi06ZNecsuwmoiDcECLtmRpvrMFIlXLAEKa+0fjTHvA74LLM751ZFAtuwjO4K0UO70z4Cl1to/RrNKEZmqgjaW7Ozs5IILLih5IbV///7QggPlXlSpo7mIiJQraIZhEGMzIuIYFRok4FJopKmIRCuuDAqstU8ZY95BOgPiH4FsC147dtPMn9lAxe+Bfwa+YK19OfKFisiUU25jST8XUmFd2OiiSkRE4hY0w9CvlpYWbr755rwZEVEG1oMGXIqNNBWRaMQWoACw1r4C/LMxphc4D/ggcAYwtk3uHuBB4L+BW621f4hznVOF4zjvBFYAzRwMDP0EcD3P+0nVFiYSQFgjwlzXZWhoqGgJRb7617gyFMq5qNL4NBERqUSQDEO/WlpauOOOO0I7XhBBAy7Tpk2LaCUiUkgcUzzGsdb+0Vp7k7W2zVp7PPAq0j0n3gC8ylp7nLX2XGvtjQpOhM9xnMMcx7mJ9FSUh4A3eZ73BuDNwMPA3Y7jfNVxnOnVXKdIMX6mWQRRX19f040lg15U9ff3h/ZvIyIiU1M2wzAsM2bM4Oabbw7teEG1traO+4wv5qtf/aqmeYjEzFg7tsJCJjPHcQ4BBoBzgC7P88a1Q3Yc5yLgX4HbgPM8z3ul1HEXLVq0Zd68eQvWrVsX9pJFxik2kz2rqamp7IBCLTaWTCaTNDY2hnIXq5J/GxERmVr8fOb6ZYxh586dVf1M7ejo8FXSmdXe3k5fX1+EKxKZODo7O9m+ffvDmzdvXhjVOaqSQSFV9XnSwYkk8JUC2/QCvwGWAVfEtC4R36IeEZYt21i5ciUrVqyoenACwr2LpfFpIiLiV7EMw6CstQwODhb8fTKZxHVd1qxZg+u67Nq1q6Lz5eO6Lg0NDb63zzaeFpF4KEAxhTiOczLpBqUA3/I8L++t2EzGxLcyTy93HOeEONYn4kc50ywmCz9z4v2abP82IiISneyEjauuuqriY+VrPFlu2WY5AY36+no+9alP+V5vtvG0iMRDAYqp5fNAttvPfSW2zTbJnJbZT6QmlDPNYrIo1SfjtNNO832syfZvIyIymcWRWVBKKpXilltuqfg4dXV1o55nS0j6+/vHfb6PjIzQ399Pc3PzqF4QlfahClouqWkeIvEpa4qHMebL1trPhL2YsBhj/tVa21PtddQSx3HmAK05Lz1cYpctOY/PdRznDZ7n/Sb8lYkEM9VHhBWbE//Nb36TrVu3+j7WZPu3ERGZbFKpFF1dXQwMDIz6Ut3T00NbWxuu61JfP3YYXjTrCKMPRSKRoLW1ddRrQco2+/r6iq4lG9AYGhoq2mspaOPpsUEVEYlOuWNGu40xa621vwt1NSEwxrwe6AIUoBjtQxzMmPmD53lPFtvY87zdjuM8D8wgnUXRAXw52iWKlFati4paG9mZb7ypLrhERCaPML6Ih2X58uWhNMk87rjjmD794JC4cso2P/vZzwYKaOQTZHxqvqCKiESn3BIPA5wU5kJCVKvrqrazcx4nfe6zM+dxS4hrESlbkBFhYVxUhD3ONEpx/9uIiEh0om4I7dfmzZvZsGFDKMfavXv3qHKNoGWb3/jGN0LpQxWk8XRbW1tNNMsWmSoq6UFxYmirCFetrqvaTs95/JTPfZ7OeXxGiGsRKVucFxXl1MVWky64REQmh1pqCL18+fJQj5cbVAlatvnggw+G1ofKT+PppqYment7A61RRCpTbokHwKmhrSJc/rvETRGO4xwHHJXzkt/C82dzHr/GcZxjPc8r+E3sF7/4BY7jlLNEADzPK3tfmVpc12VoaKjonaUwLir83r06++yzGRwcrIkv/HH924iISHTKaQgdRSZFMplk27ZtoR83G1QJWppojAm0fbFeS9nG0/l6fCQSCdra2ujt7Y28fEYkbpV8XzvqqKM45JBKQgilVXL0TmPMNOCJsBYTgkbgo9VeRA06bszzl3zuN3a744HauFUsU1ocFxVB7l5t3bqVOXPmsGzZstgalhWiCy4RkYmvVhpCDw4OYq0N/bjZoErQXhCnn346t99+u+/z5Ou1NLan1PXXX8/1118/rvF0Ldx0EJmKKglQTAc+HtZCQmSA8N9JJ7YZY57v97nf2O3GHmeUk046iXXr1vlelEglik2zCOOiIsjdKwBrbawNy4qJ+t9GRESiVStNj4MGSoLYu3fvgdLE/v7+ktu3tbXxiU98gquuuqqs5pa1MhFFpNoqyVrv7Oxk+/btIa5mvEoCFMFyrKSa/jzm+TSf+43dbuxxRKou3zSLMJR7UVaqc3icovq3ERGRaNXKlImggZIgskEVP6WJdXV1LFiwAGNMoIBGNijvZyLK3XffzcUXX8zHPvYxBfNFqqjcAMU3Q12FRG3sN61Dfe53WInjiExalVyUZWtrdYEjIiLlCJpZENXnTZBASRC5QZVipYlZe/fu5fLLL2fVqlW0tLTQ0NBAMll4KN3YXkt+ekrlnkMZFSLVU1aAwlp7QdgLkUjtJF32ks16KVqqkePInMeW0WNHRSa1Si7KomxYJiIiU0MtND0OEihZsmQJhx9+eFlBldzSxHXr1nHdddfl7asxMjLChg0bmDNnDkuWLGHjxo0ley0F6SmVPUetlGyKTEWVjBmVCcLzvBeAX+W8dIzPXXO32+553ovhrUqktgUZ2ZlPVA3LRERkashmFrS3t5NIjL5kTyQStLe3x/IF2u84zhtvvLHi0Z2zZ89my5YtJT9Dd+7cyeGHH87w8DCu67J69Wpc12V4eJi+vr5R/yZBe0pl5Y5DFZH4RDsjRGrJfcCbMo/9fpLl5rXdG+5yRGqfn7tXhUTVsExERKaOWmh6XKwEwxjD/PnzOf/889m/fz+zZ8+uaJJUkGyHgYEBrr/++pJBhEoafapkUyR+yqCYOr6T8/gNjuMcXmxjx3GOAGblvOQ/N05kkih296qYKBuWiYjI1JNterxy5UpWrFgR+xfmbKBkeHiYtWvXcsIJJ2CMwVrLY489xuWXX87cuXPp6OgAOLBtqeyGsYJkO2TLKUuppKeU33OISHiUQTF13AXsJh10SABvBh4psv08DvasSAI/iHR1IjUq9+5Va2srW7duLblPlA3LREREqmX69OnccMMNRadhZHs3lDNJKmi2g59yykobfapkUyReyqCYIjzP+zPwpZyX3lZil9zff9HzvFfCX5XIxDF79mw2btxYUW2tiIjIROZnGkYlvRuCZjv4KaestKeUSjZF4qUAxdTiAtszj88usW32948BX4lsRSITSK00LBMREYlb0P4Qu3btCnyO1tZW3yWVQcop/TTvrPQcIhIOBSimEM/z9gP/C/gTsMRxnLn5tnMcpxFoAZ4HPpLJvhARRtfhBq2tFRERmaii6A8xVpBshyDllOX2lFLJpkj81INiivE8b6vjOOeSbnp5i+M47/M87w/Z3zuO82rg26SDGK2e5/28SksVqWnl1NaKiIhMVGH0h0gmkwwODrJv3z5mzpzJ0qVLxwUA/EzQKqecMren1Lp167juuuuK9pdQyaZIdSiDYgryPO/7wOnAi8AvHce51nGcv3Mc51rgf4DngEWe591TxWWKTAjJZBLXdVmzZg2u65aV0ioiIlLrKukPkUql6OjooLGxke7ublatWkV3d/eByR+pVOrAtlGXU86ePZtLL72Uxx57TCWbIjXIWGurvQapIsdxTgTeDrwOeBq4z/O8x4MeZ9GiRVvmzZu3YN26dWEvUaQmpVKponPeXdelvr6+iisUEREJTzKZpLGx0VeZRyKRYHh4mNmzZ5NKpWhubi6ZEZEvILBr1y4GBwfZu3cvdXV1tLa2hl5yEcc5RCaLzs5Otm/f/vDmzZsXRnUOBSgkFApQyFRSycWWiIhMPX5KGyaCjo4O+vv7S27X3t5OX19f2fuISG2KI0ChEg8RkYCiHrMmIiKTQ5DShonAzzSM3N4NcUz+EJHJRU0yRUQCKOdiayLeJRMRkcoUy7YbGRmhv7+foaGhmsu2G5vtsWjRIjZv3nzg+a233so111xTsMSxt7f3wN+nnMkfK1asmDQZJyISnAIUIiIBBL3YWrduHZdeemnEqxIRkVoTJNuuFkobCvVWGisbiPjZz37GAw88ULR3Q9DJH8lkko6OjnFr6OnpUX8nkSlCAQoRkQCCXmwpQCEiMvVMtGw7P72VsoJkfwSd/HHjjTfyzDPPVHROEZnY1INCRCSAoBdbjz/+uGpqRUSmmHJKG6rJT7bHWDt27OCCCy4ouk1ra+u4MZ7F5AtOjD2n+juJTG4KUIiIBLBwYbCmxdbaql94iohIvIJm2+3duzeilZQWJNtjrI0bN/KBD3ygYLPPhoYG2traKlneOGqmKTK51WyAwhjTaIyZVu11iIjk2rJlS+B9qnnhKSIi8QuabVdXVxfRSkoLku2Rz8aNG2lubmbPnj15f+9n8kcQtZBxIiLRiTVAYYx5nTHmCmPMvcaYR4wxNxhjjiuw+f8HPG+Mud0Yc26c6xQRKSToXTGo7oWniIjEL0hpQyKRoLW1NeIVFVbO59pYxUov6uvr2bRpE+3t7YHKPYpR4F9k8ootQGGMeRfwGHAl0AycDFwA3J5ve2vtmYAD/BD4V2PM940xx8ezWhGR/ILeFTPGsHDhQlzXZc2aNbiuq9RUEZFJLkhpQ1tbW1UbZAb9XCukWOlFfX09fX19DA8Pc9ppp1V8LgX+RSavWAIUxph5pAMRjwJrgBHAAgY4zRjz2nz7WWt3W2uvB+YBvwa+b4zRO5KIVE3Qhl+vf/3raW5upru7m1WrVtHd3c3cuXPp6OgoWLMrIiITn5/ShqamJnp7e2NaUX5BP9cK8VN6Ya1l27ZtFZ2n2hknIhKtuDIoeoEBa+17rLVXAt8kHZwA8Ky1zxbb2Vr7grX274CfAF+LdqkiIoUFuStmjGHPnj3januz49KK1eyKiMjEVqy0IZFI0N7eXhMjM8NsZFmq9KLSfhdQ/YwTEYnWIVGfwBjzRmAxkNtroot0RsQxwL8FONz/BnYbY+Zaa4dDW6SIiA/JZJLBwUEcx+F1r3td0XFo06ZN45VXXil6vGzNbl9fX9hLFRGRGpAtbdi1axeDg4Ps3buXuro6Wltba+pLtuu6PPTQQySTyYqOU6r0otJ+F7WQcSIi0Yo8QAG8FbjHWvtc9gVr7YvAtUEPZK19zhhzH/Au4BthLVBEpJhUKkVXVxcDAwO+7vw0NjbyxBNP+Dp2tma3li5URUQkXLNnzy7YRLLassH3ww8/vKLj+Cm9KLffRSKRoK2tjd7e3qpnnIhItOIo8XgD8JsQj/cbRmdjiIhEJpVK0dzcTH9/f8HgxGtf+1re9KY3YUy6cs1vcAI0Lk1ERKojlUrR0dFBY2Mj3d3d/PKXv6zoeH5KL4L0uzDGcPHFF+O6LsPDw/T19Sk4ITIFxJFBsR8Ipz1w2quBF0I8nohIQV1dXezYsaPoNs8++yzPPlu0lU5RGpcmIiJxygbfS32++eW39CLb76K/v7/ktsuWLeO6664LY3kiMoHEkUGxHXi7MWZapQfKHKMZqCzEKyLiQzKZZGBgIPLzbNu2TSNIRUQkNn6C734YYwI3+5wo001EpDriCFDcC8wArgnhWJ8nnY3x4xCOJSJSVBjdxv1Yv369RpCKiEgswgy+f/7znw9cejFRppuISHVEXuJhrf2TMaYXuMQY8xbgS8APrLV/9rO/MeYQ4K+AHuAs4MvW2ucjW7CIVEW2Sde+ffuYOXMmS5curXrjyEq7jZcjO4J0aGhIF2giIhK6uILvxUyU6SYiEr84elAArAHOAd6T+fmzMeZxwANSwB9I96qwwGHAUUA90AicAByaOc6vgCtjWrOIxKDQhIyenh7a2tpwXZf6+vqqrK3cbuNh0AhSERGJQpjB91JjRUup5ekmIlIdsQQorLUvGGNagB8A80gHHE7J/JRiMn8+AbRYa/8YzSpFJG7FmnTVQiZBa2srPT09VbvTpBGkIiIStrCC737GioqIBBVHDwoArLW/BU4HbgRGOBh4KCa7zS3AW621/mf3iUjN89OkK5tJUA3ZbuPVohGkIiIStiCjPovxM1ZURCSouEo8AMhkP3zSGHM90AWcS7qUI5/fAYPAV6y1QzEtUURiEqRJVzUzCVzXZWhoKLRRbEGVGkGar3eHtbbm+nmIiEhtaGho4KyzzmLjxo1lH0NTNkQkKrEGKLKstY8Bfw/8vTGmCXgTUEc6Y+JZ4NfW2l9XY20iEo8gTbqymQTVyKTIdhvP1ycjkUjQ0tLCz3/+c5LJZCTnL1TfW6h3R3d397hta6Gfh4iIhK/cBtNvf/vbywpQGGNYtmwZvb29auIsIpGoSoAil7V2B1CdW5MiUjVBm3SVyiSIUqlu44WCBZUqVN9brHdHPrXQz0NERMJTaYPpcj+rzj77bDVvFpFIVT1AISJTU9AmXZV2Cg9DoW7j+QIY1lquvPJKrLVln69Qfa+f3h35aDKIiMjEF0aD6XIbZd51111q3iwikYqtSaaISK4gTbomSqfwbABj5cqVrFq1imXLlpV9rEL1vUF6d+ST7echIiLxSyaTuK7LmjVrcF23rPfjMBpMl9soU82bRSRqVQtQGGNeY4z5oDHmn4wxXzDG/POY319jjPmqMWaZMeawaq1TRKIRZELGRO0U7rouTU1NgfZJJBK0t7cXvPMVpHdHPrq4FBGJXyqVoqOjg8bGRrq7u1m1ahXd3d3MnTuXjo4OUqmUr+OU02A6X1CkkilV1Sy5FJHJL/YSD2PMXwGXAX/JmACJMebL1tonM09vB1qAa4B/NcZ8zlq7PtbFikik/EzImMidwks12Gxra+Oyyy7j/vvvH9XXwlrL+vXr8zY9C9q7Ix9dXIqIxCeMkoysoA2mW1tb2bZtW94+FVdccQUPPfRQ4CbP/f39LF++XE2XRSQSsQUojDFHAN8CPph9KfOnzTy2wPTs9tbaTcAmYKUx5iPAvxtjTrTWXhXXmkUkWn6+wE/0TuGlGmwCLFiwAEhfxF544YXceeedo3pX5DY9K7duOFct9PMQEZkqgpRklOoRFDRIvXXr1nGv5QZFzj//fK655prAx2xublbTZRGJRCwBCmPMUcD3gbdyMDBx4Nel9rfW3mKM2QZsMsY8Zq29NYJlikgV+PkCPxkUarCZtW3bNt72trfx/PPPj/td7sXkrbfeSiKRKLvMY6L08xARmQzKKcko9tkXRpA6a8eOHdx8881l76umyyIShbgyKL4InJ55/FvgLuAh0uNFU8ALwOZiB7DWPmaM+SzwL8aY9baS1vgiUnNKfYGfzFKpVMHgRK4dO3ZwzTXX0NbWRn9/f1nnmqj9PEREJqKgJRmDg4Mlm1v29PSENtLab++LfIoFVJLJJIODg3lLFUVEiom8SaYx5ljgr4FdwDJr7RustX9jrf2qtfZ71tpt1tpfAX7eaf+TdFDlzOhWLCISrwsvvLBkcCJrYGCASy+9NHDzTZjY/TxERCaioCUZpXoENTQ00NLSUsmSQpOv6XJYzUBFZOqKY4rHu4D9wNuttd+p5EDW2hHgXuDUENYlIlJ1yWSSO++80/f2IyMjPPDAA2zatIn29nZfY+JKTQYREZFoBC3JmGg9gnIDKtlmoP39/eMyPLKlis3NzezZsyfuZYrIBBJHiUcDsMFaG3zQc37PA68J6VgiIlU1ODhI0Iq1vXv3Fu3dkT3uZO3nISIyUQQpyfDTI2jz5s1s2LAhrOWFKsxmoCIydcURoLDASyEer4kS/SpERCaKcsaG5t5hK9S7Y6r28xARqSUNDQ2++waV6hGUSqVqprxjrLCbgYrI1BVHiYcHvMcYc2ilBzLGNALvAIYrPZaISC0Imv5rjNEUDhGRCcR13ZJ9g/z0COrq6uLpp58Oc2mhKacZqIhIPnEEKH4EvBa40RhTdsaGMea1QB/wZ+DHIa1NRKSqWltbffWRyDr77LN110lEZAKpr68v2DfIb4+gIBkKccpm9IXdDFREpq7ISzystfuMMV8DLgIWGGPWALdZa32VfWQCEx8HLgGOAW6y1r4Y2YJFRCKSb+xakPTfGTNmlD2zXkREqqdY3yA/QecgGQpjGWN89zoyxmCMCdwzY7I3AxWR+MTRgwJgJfBu4GRgHfCCMeZ+4OfATuCPwKHAh40xz5POuGgE3pLZJwEY4PfAqpjWLCJTQByz2lOpFF1dXQwMDIy66Ovp6aGtrY0rrriCoaGhos3FZsyYwQMPPKApHCIiE1ihvkGllNOvKGv+/Pk89thjvrZdtmwZQOCeGWE3AxWRqSuWAIW19o/GmPeQLs04ATgSeE/mJ9e1Y56bnMf7gXOttRqgLCIVKxU0cF2X+vr6UM7T3NycN/iQHbs2NDTEd77zHa6++upx6zHG8M53vpP3ve99fOc73+Gee+6JJIgiIiK1K2iGQpYxhscff9z39pdddhnHH398yaD52J4ZYTYDFZGpzQQdb1fRyYyZSToIsZx0VkT25CbzOBuQyF2UId0U86PW2gfiWakEtWjRoi3z5s1bsG7dumovRaSkYkGDrKamppI1wX50dHT4umBrb28fl/47bdo07rvvPu66665RQYtEIhFqEEVERGpbMpmksbExcJnHrFmz2L17t+/tXddlxYoVBYP42c+f3t7ecZ+PcX62ikh1dHZ2sn379oc3b968MKpzxNEk8wBr7T5r7aeBtwK3Ai9yMCiRmy1hMj+/BD4DnKzghIiEJcis9kqUO3ZtxYoVLF++nBtuuIGNGzeOuyDNZl40NzezZ8+eitYoIiK1L5uhEFSp6SFjZZtXZntmDA8P47ouq1evxnVdhoeH6evryxtgCKMZqIhIXD0oRrHWDgEfyYwePR2YBxyd+fVeIAU8qHIOEQlbnLPayxm7lg2KBAmi9PX1lbU+ERGZOC655BJfGXm5gmbZjW1eGbRnRqXNQEVEqhKgyLLW7gd+kvkREYlcJUGDoModuxZnEEVERCaGBx4IlkxsjOFzn/sc/f39vj/3zjzzzHKWNk65zUBFRGIt8RARqbY4Z7WXOxKunCCKiIhMbkE/v+bPn8/ixYsDlYasXbs26LJEREKlAIWITClhz2pPJpN8/vOf55xzzuGcc85h9erV7Nq1q5IlMjw8HGj7SoIoIiIyMQT9/Ors7ATSpSF+ZbPyRESqJdYSD2PMq4CjSI8M/UOmxEMKcBznMODDQAfweuAvgBHgt8C9wK2e5wUuj3EcZxrQCXwcOBF4BfgTcCfwRc/zhsNYv0gtCmtWeyqVYvny5WzYsGHU6xs2bOCKK65gyZIlnHjiiYHW9oc//IGOjg5uu+22QPuVCqKIiMjEF+TzyxhzIEARpDSk0tJGEZFKRZZBYYyZZYz5W2PMrcaYx4wxLwG/B34D/A54wRjztDHmJ8aYLxtjPmCMOSyq9Uw0juMsAr4PHAF81PO8xZ7nHQ28G9gKdAP3OY7z347jvCHAcd8AbALWAi7wBs/zZgHvAl4NbHcc55Oh/mVEakiQTuiFZrWnUikWL148LjiRa8OGDXz9618PtLYbb7yR/v5+gox/TiQSLFy4ENd1WbNmDa7r6u6XiMgkFOTza9myZQc+v+IsbRQRqVToGRTGmL8ELgZaOBgAMQU2fy1wZuanG9hnjPlP4MvW2p1hr22icBznBOAm4BzP85K5v/M871Hgrx3H+RWwBjgHONlxnDM9z3uyxHGPA34MvAE40/O8h3OOuxv4hOM4rwK+5jjOqzzPuz7Uv5hIjXBdl6GhoZKz2nt7e/P+rquri507S79FBb3Ie+aZZwJtD3DcccfR3Nw86o5aT08PbW1tuK4buIO7iIjUrnI+v8IubRQRiVJoGRTGmOONMf3Aj4AlwDTSgQkD2CI/5GxXB1wEPG6MudYYc3hY65tgbgKuHBucGGMt6UwKgDlAv+M4hQJB2bKObwNNwPrc4MQYl2X+/ILjOO8NtmyRiaGSWe1BJmxE7ZBDDmH37t3j0n1HRkbo7++nubmZPXv2VGl1IiIShfnz5xf83ZIlS8Z9frW2to77rCukWGmjiEgcQglQGGPeC5EhXz0AACAASURBVAwB53IwWyI3CGFK/IwNWBwO/G/gIWNM4XfhSchxnNOBM0iXdxTkeZ4Fbs556Uzg/UV2+RTwjszjdUWO+z/AQ6T/t/G1TB8MkUknO6t9eHgY13VZvXo1rusyPDxMX19f3uAEBJuwERVjDLNmzeLll18uut2OHTtURywiMkmkUimam5uLlhc+/vjj414Lo7RRRCQuFZd4GGPOBW4Bpue+nPnzRcADfgk8A/wx83M48JrMz2tJN2o8Lmf/bKDiROAnxpgWa+3PKl3rBHFa5s8G4LES224e83wJcNfYjTJBhisyT0eAn5Y47k+AtwKNwCdJ96oQmZSCzmoPWssbheXLl3PjjTf62jbbkV0XnCIiE1tXV1fR0g44GJju6+sb9bqf0pCGhgYWLFjAmjVrmDlzJkuXLtVnh4jErqIAhTHmdNJlA4dwMChxH7AB+J61dmuhffMc62jgLcDbSWdinJz5VR1wlzHmrdbaX1ey3gni1Zk/73Qc5wbS5Rjjw+FpT495/hcFtvsQkL0d/GvP854rsYYtOY+7UIBCBEjfvRp70VcN+/bt853FoY7sIiITX5DywnyB6WxpY1dXFwMDA6M+Q4wxHH/88fzmN7/h8ssvP/C6+hmJSDWUXeJhjJkBrCedOfEK8FXgJGvtO621/xIkOAFgrX3aWvt9a+2V1tpTgWbgjsyvXwMMGGOmFz7CpOFl/pwNXA1scxzngwW2PWrM80Kt/z+S8/iXPtaQu82bHcc5reCWIlNENrX2kUceqeo6EokEc+bMCbSPOrKLiExsQcoLs4HpsfKVNq5du5bZs2ern5GI1IxKMiguIf0l+lHgw9baUuUIgVhr7wfOMca0ku61cALpvhRrwzxPDboL+C1wfOb5IcBy4L/zbDtrzPNxmRaO40wH3pPzkp/pKMNjnrdwsCGnyJTkJ7U2DmeddVbgAIU6souITGxBywufeOIJXNdl375948o1cksbOzo6SCaL9WQvXDYC6cyOwcHBvOcRESlHWRkUxpgjgR5gG/COsIMTuay1g8Bi4CngHzPnnrQ8z/sTcAGQW4axpcDmuVM2LPmbX54CHJHz/Ckfy3iWdK+KrMU+9hGZtGppcsc73vEOdWQXEZligo4K/dKXvkR3dzerVq2iu7ubuXPn0tHRQSqVOrBNOWUjWalUio6ODhobG0ueR0QkiHIzKJaRbnR5nrU28o5x1tpfGWPaSDdvPA/4RtTnrCbP877nOE4j6akb+zzP+/HYbTKNL3NLN3o9z8uX5fCmMc9L5np7nveK4zjPAdlPw7HHyOsXv/gFjuP42bTQecveVyRKtTC5I+uVV1450JG9v7+/5PbqyC4iMvG1trbS09Pj+7PI2tFVv9lyjaGhoQNjSMspG1mxYsWBksd8WYX5ziMitaWS72tHHXUUhxxS8ZyNosrtQfEe4NvWWj/9DEKRKflYD5wd1zmryfO8Zz3P+26+4ETG1cAxmcf9wOcKbHfcmOcv+VxC7nbHF9xKZAqohckdWdlyDdd1aWpqKrptU1MTvb29cSxLREQiFGRUaDG546eDfrZl+xkFmSYiIhJUueGP06hOL4hvA9dV4bw1xXGcs4CLM0+/BXzc87yXC2w+Y8zz/T5Pk7vd2GPkddJJJ7FuXb4qE5GJLWhqbZQ2bNhAe3t70Y7siUSCtrY2ent7dfdKRGSSuOSSS7jnnnt45plnKjpOtlwj6GdbXV1dxdNERKT6Ksla7+zsZPv27SGuZrxyMyiOAaJdWX6PAq+vwnlrhuM47wO+k3l6KXB+keAEwJ/HPJ/m81S52409hsiUEqTnQ67TTjutrP2K2bhx44GO6vk6sruuy/DwMH19fQpOiIhMAtl+D2eccUbB4IQxxvfxsuUa5fQzCmOaiIhIMeVmUMxgdBPHuDyLz7v5QTmO82rSk0KqYcjzvJKlF47jdAI3AvuAj3ie9yMfxx6bv3eozzUdVuQYIlNKkJ4PWYlE4sCF2eDgIHv37qWuro5FixZx9913c91115U9/nNsR/XcjuwiIjJ5FOv3kHX00UfzoQ99iK985Su+j7t3796y+hmVWxYiIuJXuQEK/2HacNnSm5RtAeDnC38UGhk/2nMUx3GuIN134l7SwYknfR577HH9Bnhyp6U84XMfkUnLdV2GhoZ8jxrNbU45NnhwxhlncMEFF+Qtz/BLqbMiIpOfn34PTz/9NPfff3+g4z744IO4rsull15a8rMtt59ROWUhIiJBRNuCc2J5GDizSucuGGxwHGc68HXg48C/AJd5nvdKgGM/Mub5MXm3Gn3OGYweTZpvOojIlJLt+bB8+XI2bNhQdFs/zSmz5Rm7du1icHCQf//3f+exx/xPbM7tqC4iIpNPkH4P27ZtwxgzbnpHIbfffju33347iUSClpYW5s+fz8aNG0v2MwoyTURjrkWkHApQZHie9xzwQLXXkctxnCNJT+g4HWj1PO/2Itu+A3jZ87xRIXTP8550HMcDsvNk/BSl1495fq//VYtMXvX19dx+++1s2bKF5cuX88gjj4y6GCynOeXs2bP54Ac/yEUXXRR4PUqdFRGZvIL2ezjttNPYujXYPaWRkRE2bNhAU1MTDz30EPfff/+BksTW1tZxWXoacy0iUVOAokZlMiduI13+8RbP85IldvkwsAnIl+P3HeAfMo/f6OP0udvsB+7wsY/IlLFw4UKGhoYOZD8Uu5jzI8hFaC6lzoqITF5B+z28//3v57nnnvNdiphrx44drF279kBvo2L8lDxqzLWIlCvc9vISprXAYuCvfAQnIN1D49kCv7sp5/E8x3FK9RCZn/O4L5NdIiJjZJtTrly5khUrVpR9pyjoRSgodVZEZLIL2u+hoaGBTZs20d7eXtYEqWxvo1KyJY/5zpNIJGhvb+enP/2pJkmJSFkqyaCoRqPMajXnjJXjOPOBzwHXe573Gx/b15MuA8mb7+153mOO4/w38EGgDpgHPF7kkG/L/DkCXBdg6SJShqAXoaDUWRGRySqZTDI4OMjw8LDvvhLZoPXY/kYbN24s2TcpK0hvo7HnqTSTUEQkq5IAxUeNMd8i/SU2DgZoj+lc1bacdHbLNMdxjOd5eT+ZHMc5hHQ5Ri8wjcIZFAAXA+8DDgfOpkCAwnGcw4B3Z57e6HmeGmSKRCxI0zFI3yVT6qyIyOSSSqXKnu502GGHceihByfJZzP89u7d6ztAAcF7G2nMtYiErZIAxZrMj4TvA5k/PwNc5DhOodB5gtFZJQU/VTzP+6XjOBcBXwM+5TjOv3me93KeTT8MvA54DPhs4JWLSGBBmo7NmjWLn/3sZ0qdFRGZRFKpFM3NzWX1jwB44YUXWLhwIZs3b6a+/mCvc40FFZGJptIeFKYKP5Oa4ziHky7ByEqQzo7I95P772GBooXsnud9HbgceDPwZcdxRv33z5SWfBnYDrzP87znK/rLiIhvruvS1NRUdJuGhga2bNmi4ISIyCTT1dVVdnAia/fu3Zxxxhns2bPnwGuLFy/2vb96G4lILag0QGFj/pkKxo749Os5z/NeKbWR53lrgVbSZR6bHcdZ5ThOl+M4/wH8DFgPnO553m/LXIeIlMFP0zFlToiITD7JZJKBgYHQjpVbcnHttdf63le9jUSkFlRS4jEC/JZ4e1AcTzpzYNLyPG+YiDNFPM/7b8dx7gCagdOAo4D7gCs9z0tFeW4RKUxNx0REpp5yR00Xkp3GYa0NFPhoa2vDdV327dvHzJkzWbp0qT57RCR2lQQoWq21G0NbiQ/GmHcCd8d5zskqk21xb+ZHRGqImo6JiEwd5YyaLiY7jcNaGyjw0dnZOep5T0/PgaBFbl8LEZEoVVLi8Whoq/DvF1U4p4iIiIhIJMoZNV3K3r17Kw58jIyM0N/fT3Nz86i+FiIiUSo3QDFV+kGIiIiIiESmtbV1XO+hStXV1YUW+NixY4ey+kQkNuW+G1Zzmsakn+QhIiIiIlNDdtR0WLLTOFpbWzEmnMvmbF8LEZGolRugOAeoRjPF3wPvrsJ5RUREREQi4WfUtF/HHXcc06dPp6GhgVNOOSWUY46MjNDa2koqpV7qIhKtsgIU1tpN1tr9YS/Gx3lfttb+OO7zioiIiIhEpdio6aB27959oG/EDTfcENIKYevWrSX7USSTSVzXZc2aNbiuq6wLEQmskikeIiJSQ5LJJIODgxoRJyIyARUaNb148WLOO+88duzY4ftY2b4RfX19LFmyhA0bNoSyxtzj5kqlUnR1dTEwMDBqcogmgYhIUMZa9buUyi1atGjLvHnzFqxbt67aSxGZ9MYGIs4880yuueaacReGiURCF4YiIpNANgBw22234ffaPZFIMDw8zPTp02lubg4U4PBz3GwAPJVKlTx+U1MTP/3pTzn22GNDWYOIVEdnZyfbt29/ePPmzQujOocyKEREJohCd6gKyY6IGxoa0oWhiEiNCZL1ls2uWL16NVdccYWv44+MjDA4OMiKFSvYtGkTF154IRs3bqx43bnHBejq6ioZ/CiUeSEiMpYCFCIiE4CfO1SFxHVhqBITEZHSKimHCDqVY+/evUA6wHHHHXfwgQ98IJQgRfa4yWSSgYEBX/tkJ4Hoc0FEigl36LKIiETCzx2qYqIcEZdKpejo6KCxsZHu7m5WrVpFd3c3c+fOpaOjQ13fRUQyssHm/v7+cZlw2ay3Yo0oZ86cGeh8dXV1o57fdNNNoUwLyR53cHDQV0YfHMy8EBEpRgEKEZEaF+QOVSFRXRhWerEtIjKVBCmHyKe1tdX3lI9EIkFra+uo18KYFpJ73H379gXaN5t5ISJSiAIUIiI1LsgdqmKiuDCs9GJbRGSqKKccYqyGhgba2tp8HaOtrS1vOUW2n8Xw8DCu67J69Wpc16WlpSXwcSvN6BARGUs9KEREalzQO1SFlLowDNpDQrXHIiL+lVMOkS+467ouQ0NDJadm9Pb2Fj3H7NmzRx2/vb3d1zSO3OO2trbS09Pj6++VL6NDRGQsZVCIiNS4oHeo8jHGFLwwLLeHhGqPRUT8C6scoliZRiKRoL29vazJTeUcN4yMDhGRXMqgEBGpcUHuUBVy5JFHcuihh457vdh0kFJjSlV7LCJTSaWTioIGmx988EFc1817nv379/Oud72LxsZGdu7cyZw5c5g7dy6tra0VBQGy5R+7du1icHCQvXv3UldXV/S4YWV0iEhtyn3ve+qppxgZGZke6QmttfrRT8U/Cxcu3HL++edbEYlGe3u7BSr6aWlpKfu47e3t4/b9t3/7t0Dnd103jn8qEZFQPfnkk7a9vd0mEolR72mJRMK2t7fbJ5980tdxdu7cOe4Yfn5yzxPWWsJWal2pVKoq6xKR8uX7//W8efPsvHnzrI3we6Wx1oYU6pCpbNGiRVvmzZu3YN26ddVeisikVCzTIYiWlhZuuukm6uvrSSaTNDY2+q4dHh4eHnUHrdL9RURqnZ/33qamprxZZvkyLj772c/S399f1lrmzJmDtZZkMhl4LXEJknkhIrWr0HvfvHnzAHj88cdNVOdWgEJCoQCFSPRSqRRdXV0MDAxUVO6RvYBdv3493d3dvvdzXXdcw7aOjg5fF9vt7e309fUFXquISDWV8x5X6L06kUjQ0tLCz3/+86JBhkr5fb+ttGRFRCavQu99ClDIhKEAhUh8cu9QPfjgg9x+++2Bj9He3s5pp53GqlWrfO+zevVqVq5cOeq1Su4uiojUsnKyxKZPn17yPXHOnDn8xV/8BT/84Q/DXO64tRQKNhQLoLS1teG6LvX19ZGsTURqX7H3vjgCFJriISIywWRHw61cuZKzzjqrrGMMDAwQNECdb0xpVN3kRUSqrZxJRV1dXSVL8Xbu3MkDDzwQxhKLriWfbFC5v79/3N8t2xi5ubmZPXv2RLY+EaltQd77oqApHiIiE1i5Ez6y2ycSiYrn15fT9V1EpNYFnVT0xBNPMDAw4Gvb559/vpwl+VZoapKfAMqOHTtYsWKFyvJEpqig731hU4BCRGQCy86gL6fpmjHG975+5tdnMztERCaDoGNBk8lkVe865srNeMv2mhgeHua2227ztf/AwAC7du1SkFlkCgr63hc2lXiIiExwruvS1NQU2b6aXy8iU1Fra+u40rVCEokEc+bMiXhF/mQz3lKpFB0dHTQ2NtLd3c0Xv/hF36V9xcpERGRyC/LeFwUFKEREakQymcR1XdasWYPruuzatcvXftk+EC0tLYHOt2rVKt7ylrcwa9YsTjjhhII9JG699VbWr18feF0iIhNZNkPNj7a2tpoJULS1tR1o1pmv14RfhcpERGRyC/LeFwVN8ZBQaIqHSPnC6qieTCYrvkA+8cQTWbJkCQ0NDSxevJhrrrlGnd5FZMoKMqnopZde8j31oxxz5szBWlt0RGl2LStWrCir9C9XvtHSIjI1FHrv0xQPEZFJLsyO6mGk4z766KPccsst/OVf/iXnnXeeOr2LyJQWZFJRVHcds+d58MEHefDBB0uu5aWXXvLdrLPYOQs1RhaRya/Ye1/U1CRTRKSKwuyoHlbX5WQySUtLC7t37w5lXSIiE1mQSUWu6zI0NFT0fX3GjBm+pniccMIJ/P3f//2485Rai+u6FWdx+GmMLCKTW773vvvuu4+nnnrq51GeVwEKEZEqSSaTvu9y+emoHmbX5VLBiSx1eheRqcLPpKLsXcdiZXtXXnkl5557bsmykbvvvptjjz028FoqDVarMbKI5Mp9v+ns7OSZZ575c5TnU4mHiEiVDA4O+r7L5aejejW6LqvTu4jIaNm7jsPDw7iuy+rVq3Fdl+HhYfr6+jj55JN9l42Uo9xgdRjnFhGplDIoRESqJOhdrlId1bP1z5U2RgtKnd5FRMYrluUQpGwkqNbWVnp6enwFwI0x/MM//ANz584N5dwiIpVSgEJEpEqC3uWqq6sruY3ruvz4xz/m6aefLndZgflZl4iIjOenbCSoIMHqZcuWcd1114V6fhGRSqjEQ0SkSoKUZPjtqF5fX8/GjRsrXZpv6vQuIhKfZDKJ67qsWbMG13XZtWtX3u1c16WpqanosdRrQkRqkQIUIiJVEmQknZ+O6tkL1zvvvJNTTz21orXNmjUrtHWJiEhlUqkUHR0dNDY20t3dzapVq+ju7mbu3Ll0dHSQSqVGbR9kPKqISC1RiYeISBX5GUlX6i7X5s2bWb58Odu2bcNaW/GaGhoauP322311mb/00ktxXZd9+/Yxc+ZMli5dqoCFiMgYyWSSwcHBst4rU6kUzc3Ned+PR0ZG6O/vZ2hoaFzAIco+FyIiUTFhXMyKLFq0aMu8efMWrFu3rtpLEZlwUqlU0ZF0vb29ee9ypVIpli9fzoYNG0Jby5IlS7jxxhs59thjC67LGMO73/1ujjjiCDZu3Jh3za7rUl9fH9q6REQmolLv737eKzs6Onz1k2hvb6evr6/iNYuIFNLZ2cn27dsf3rx588KozqEAhYRCAQqRygW5y1Xsjlq5WlpauOOOO8ad58ILL+TOO+8MlJ0xZ84cHnzwQaUPi8iU5ed9uqmpqWipRTKZpLGx0ddEjkQiwfDwsLIjJBKVZAHJ5BFHgEIlHiIiNSJIN/eurq5QgxPA/8/evcfJUZX54/90h4tyzSguE8MkM/OghqvZJAJh3N96BUJkYOhhVyW7gOiqmwwRAwhIBEkEhZjg0sEboOw36tdvZjI4EEIUdQUCAQKJXEIAH+h0NpvOujABlluU6d8f1ZXUdPpy6tZV3f15v17zmu7pqtNnpvv0VD31nOdg9erV2LJly64DDj9BkM2bN+P888/HnXfeGWgfiYjqhcnn9PPPP4/Zs2eXzXwYGhoyCk4A1nSPoaGhwFcFoeZWLgto7ty5zJikUDBAQURUZ7LZLAYHBwNvt/jg1m8QZOXKlaMCHkREbtXbVVu7v5lMBitWrDDaZ3BwsOxn5Y4dO1w9//DwsKvtiSrxWv+EyA+u4kFEVGfcXFFzyz64DSoIctttt/lug4iaj9tVK6JW3N/vfve7xtPi7OBwKWPHjnXVj5aWFlfbE1XiJguIKCgMUBAR1Rm3V9TcePzxx3fVwggiCPLQQw8F0Csiaib2VduBgYE9Pofsq7ZdXV3Yvn17RD0crVJ/TZXLfOju7t5jmdBykskkuru7PT0/UTE3FyrsLCCiIDBAQURUZ9xeUXNj+fLlaG9vx4033hjacxARVVJvV22DqAlULvNhwoQJ6OnpMWqjp6fHaPpLNptFOp3GwoULkU6neWJJJXmpf0IUBAYoiIjqjJsral6MjIzg2WefDaSt448/PpB2iKg51NtV26Cmw02bNq3sY+l0Gp2dnRX37+zsxNKlSytuU2/TZiharH9CUWGAgoiozri5oha1c845J+ouEFEdqbertkFNh1u3bl3Zx1pbW7FmzRqkUqk9gtPJZBKpVKpqkcJ6mzZD0WP9E4oKAxRERHXI5Ipa1GbOnBnravtEFD9xuWprOg0ik8kE8nzVfo/W1lb09/djzZo1OOuss/Dxj38cZ511Fh544AH09/dXXUGh3qbNUPRY/4SiwgAFEVEdqnRFLZFIYPLkybjkkksi6t1uTBkmIjeivmprOg3C3m7x4sWBPO+YMWOM+tXV1YXly5fjt7/9LZYvX47p06fj1FNPrfhZW2/TZigewqh/QmSCAYo6JSKfEJG8iJzrYd8xInKOiPxWRHIislVEnhORG0WkPfDOElEo7CtqmUwG6XQaCxYsQDqdxubNm7F+/XoceOCBkfZv5cqVTBkmIleivGprOg3iiSee2LWd6VKi1dx33317/MzO4vja176Go48+umS/8vk8Vq1ahcMPPxxPPPFEybbrbdoMxUdQ9U+I3GCAog6JyAEAfuxx38MArAFwDYA0gMNUdTyAjwA4CMAmEflCQF0lohpoa2vD7NmzccUVV2D27Nm7rmKEudqHKaYME5EbUV61NZ0GcdJJJ/letaPY6tWrd2UuFGdxXHfddXjxxRcr7v/aa69h+vTpJQPCcZk2Q/UniPonRG7tFXUHyJNvA2h3u5OIjAPwBwCHAZiuqo/Zj6nqVgDnFIIfPxKRA1R1SUD9JaIIdHd3Y+7cuYEUcPPDThlm+icRmUin01i/fn3FIEDQV23dTIMIY+qanbmQSqXQ1dXlKQDy2muv4bzzzsNdd9016udRT5uh+mZna27ZsgVDQ0MYHh5GS0sLuru7+X+dQsEMijojIn8H4F897DcGwC8BdAJY7gxOFLm88H2RiHzCWy+JKA7istrHyMgI5s2bx3nNRGQkiqu2Qa3G4cfw8LBRFkcld9999x6ftSx2SEEol61JFDQGKOqIiLwTwC0AEh52/yKAvyvcXlZuI1V9BsAjsN4bPxKRfT08FxHFRDqdxiGHHBJ4u26vsC1fvnyPInNEROWUq7GTyWSMVq1wy+00iDDk83njLI5KbRTXkGCxQyKqJwxQ1JcFAMa73akQZPhG4e4IgAeq7HJ/4XsHANajIKpjra2tWLVqVaBtplIpXHTRRa73cxaZY+FMIjJRq6u2cajZ8/LLLweSxVGqhgSLHRJRvWCAok6IyHEAvoLdUzDcOAuAfanhT6r6SpXtH3XcnuPh+YgoRqZNm4ZUKhVIW8lkEkuWLMGsWbOMU4aLsXAmEcWNm2kQYXnmmWcCaadUhhuLHRJRvWCAog6IyD4AbgXwEIAbPTTxacftZw22d27zARGZ7OE5iSgmcrkc3nzzzUDasgu5+a1vYRfOJCKKgzBq9rS2trraPoglSyvVkKj1tBkiIi+4ikd9mA/gcACTVXVERIx3FJG9AXzM8aPNBrtliu7PALDB+EmJKDZyuZznivDl2OnDl156KQYGBjy1YQc6TDMpstkshoaGsGPHDowdOxann34650kTUaBMVg9x45/+6Z9w/fXXG2//5ptvIpFI+ApUmNSQsKfNEBHFETMoYk5EPgjgawCuUtVNHpo4FsA7Hff/bLDPS7BqVdhO8PC8RBQDfivCl2KnD69du9ZXO6XmSRfL5XLo7e1FR0cH+vr6MH/+fPT19bHgJhEFzmQaxMyZM43amjlzJubMmeNq2shvf/tbX8EJ1pAgokbADIoYE5G9APwEwOMAFnls5v1F96ueEajq2yLyCgC7YlRxGyU9+eSTcJPdUeJ5Pe9LRHvKZrO+K8IXc6YP+616X20lkErZH3bBzfXr13PeNBEFxp4GsXbtWixevBgvvfQS3vWud2HevHk4/vjjjbLSOjs7ccstt+DQQw9FT0+P50wzU8lkEj09PVi6dCk/C4moKj/nawceeCD22ivcEAIDFPH2NQBHA5imqn/12Ma4ovtvGe7n3O69Hp+biCI0NDQUSEV4J2f6sJ+q95XmSdtMsj/sgpv9/f2e+0JEZMvlcpgzZw4GBwdHfX4ODAygp6cH6XQaa9asKblNqUBBkNNG7PYvv/xyPPjggxgeHkZLSwu6u7s55Y2IGgYDFDElIkfAqj1xrao+7qOp/Yvu7zTcz7ldcRslHX300Vi2bJlh80QUNrcZDi0tLRWnXRSnD3d3d6Ovr89T38aNG1fxgNpN9oddcJMH6ETkh5usrf7+fmzZsgVDQ0MVAwX2tJFSAQ0TiUQC8+bNQ3t7+6j2p0yZ4v0XJaKm5idrfdasWdi0yUvVAXOsQRFDIpKEtWrHcwC+5bO5vxTdH2O4n3O74jaIqA64zXC4+OKLa7YE3datWyuu4uEm+8MuuElE5IebrC1gd7HJK664ArNnzy4bJC1ePcO0jgVgrezR3t5esX0iokbCDIoCETkIwJERPf16VXVOqfgKgA8BmK6qphkP5RRfQt3HcL99K7RBRHWgu7sbc+fONTrRTyaTmDVrFi677DKjq4IAfAcFli1bhssuu6zkY26zP0wKbhIRlZPNZrFixQqjbVesWOEpa8sOaAwPD2PlypXG+/HzjYiaCQMUee1xVgAAIABJREFUu00B8PuInrsDhaU9xapasgDAd1X1kQDazhTdN5quAWA/x+0XAugHEdXYhAkTjAu0OWtLmC5B57dIZqUAhdvsj2oFN4mIKhkaGjJeQSOfz7taJrkYP9+IiMpjgGK3xwBMj+i5twGAiCQA3ALgPwFcGVDbfyy6/55qO4jI/hi9NOmGgPpCRDVmUqDN69J0fopkAsDTTz9d9iqk2+yPagU3iYgqyWQyoW7vxM83IqLyGKAoUNVXAKyNuBuHAZgM4E0AmwyXgFkkIlc57q9V1U/bd1R1m4goALsxkwnkrUX37zXpCBHFT6UCbX6XpnNzkF1KpauQXrM/iOpZNpvF0NAQduzYgbFjx+L000/neztEzr/33Xff7WrfzZs3e35efr4REZXHAEWMqOoWAFUvSYqIMwfxIlX9aZVdbgcwr3D7fQZdcW6zE8BdBvsQUUzZBdpMa0uYcnOQXc7w8HDZk7Iwsz+I4qTc0pZz587dtbRla2vxtQPyqtzf242JEyf66gM/34iISmOAojncit0BikkiklDVShMtj3Dc7i9klxBRnTOtLeGGyUF2JQMDA7jyyivLnpSFlf1BFBdulrbke70ykwyUSn9vN9rb233tH2Z2GxFRPWOAogmo6kYRuQPAaQBaAEwC8HSFXU4sfB8BcH3I3SOiOlbpINvEhg17lrgpPikLI/uDKC7cLG3Z399fo17VFzcZKCZ/72oSiUQgdSHCym4jIqpnCdOKxRQfRVM8zjOY4gEReT+sgpnvAPBVVV1SZrt9AWwF8G4AP1bVfzHp07Rp0x6dNGnSlGXLlplsTkQNyD7Ivummm7Bx48ZA2kylUjwpo4aVzWbR0dFhXCwxk8nwxLWISUZEZ2cnHnjgAbz11ltob283Xq2jnNbWVsyePZt1Qoio6cyaNQubNm16bN26dVPDeo5kWA1TvKjqswAuKNz9ooiUy575R1jBiY0ALqxF34ioMbS1teG0007D2WefHdiyeIODg9iyZUsgbRHFzdDQkHHW0cjICIaGhkLuUf1xk4HiZinRSnK5HObPn4++vj60t7ejt7cXuVzOd7tERMQARd0RkeIqWX9juq+q/hjA1wF8AMANIjLq9ReRIwDcAGATgE+q6ms+u0tETSKXy6G3txcdHR34+te/juHh4UDa5UkZNbIdO3a42j6ocdUostksBgcHjbYdHBzE448/Hngf7ClpXV1d2L59e+DtExE1G9agiDkR+QqArzh+9O6iTa4VkdkA7EsCo5YZLaaq14jIEwCWAFgnIoMAhgEcA+CzAH4Oa2WQV4P6HYiosQVVdK4cnpRRoxo7turCXaMElZnUKNxmoDzyyCOh9YV1QoiIgsEARcyp6g2wshqCbPMOEbkLQBeAyQAOBHAfgCtVlTmKRORKEEXnKuFJGTWq7u5uzJ0717gGRRCFGRuJ2+lf+++/f0g9sdhT0liTgojIOwYompSqvg3g3sIXEZEnblKsveBJGTWyCRMmoKenBwMDA1W37enp4YmvQy6Xwy233OJqn/e+970h9cZiT0kLejlnIqJmwhoURETkmZsUay94UkaNLp1Oo7Ozs+I2nZ2dWLp0aY16VB/mzJmDF1980Xj7ZDKJr371q0gmwz305ZQ0IiJ/GKAgIiLP3Bb5c4MnZdQMWltbsWbNGqRSqT1OnpPJJFKpFB544AEceuihEfUwfrxkbvX09OCEE05AT09PSL2y1MOUtGw2i3Q6jYULFyKdTnOlJCKKFU7xICIiz9wW+TM1c+ZM3HLLLTwpo6bQ2tqK/v5+bNmyBUNDQxgeHkZLSwu6u7uZQVSC28ytQw45ZFewM51OY/369aHUzYn7lLRcLoc5c+ZgcHBw1N9v7ty56OnpQTqdRmtr8WJxRES1xQAFERF55qbInxtPP/10oO0R1YO2tjbWLzDgNnPr/PPP3xXstDNWSp2oJ5NJiAiee+45T/2K85S0Sqst2Uulrl+/ntk6RBQ5BiiIiBpcNpvF0NAQduzYgbFjx+L0008P7CDaTZE/N7hkHxGV4zZzq/jzrlTGypgxY3Dffffh7rvv9tSnuE9JM1ltiZ+7RBQHiXw+H3UfqAFMmzbt0UmTJk1ZtmxZ1F0hooJy6bzJZDLQdN5KV+b8SCaTyGQysb0iSUTRyGaz6OjoMF6etdrniJ/PMPvzdOnSpUaZB2EGjCs9Z5B/LyJqXrNmzcKmTZseW7du3dSwnoNFMomIGpB9wD0wMLDHQamdztvV1YXt27f7fq5KRf4SiYTndu0l+4iInOzMLRMm0y5MsgtKmTx5MjKZDPr7+6sGJ3K5HHp7e9HR0YG+vj7Mnz8ffX19aG9vR29vL3K5nOvnN+WmZgc/d4koapziQUTUgGqdzluuyN/UqVPR1dXluUYFl+wjolJMil1WmnZhZzJkMhmsWLHC9fN3dnbi7rvvxqGHHlo1KyLq+g9ua3bwc5eIosQABRFRg3GzBN/g4CC2bNniO523+AD9nHPO2dWmnxoV9bBkX72KItWcKCg7d+7E+eefj5/97Gd4+umn4ZyyXGnaRbmpb6YSiQTOPPNMLF26FPl8Hr29vVVXxYi6/oPbmh383CWiSOXzeX7xy/fX1KlTHz377LPzRBS9G2+8MQ/A+CudTnt+rm3btuVTqVQ+mUyOajOZTOZTqVR+27Zt+W3btuU7Oztd9cluI5vNBviXoXze7DUjiqty799EIpE/8sgj89dcc03Zzw2vn0XFX6lUKv/HP/6xaludnZ35devW7dHXWn/mbd68OfI+EFFjOPvss/NTp059NB/ieSVrUBARNZhapfOa1rlIJBJla1RUEucl++pVLWuTEAWt0vs3n89j48aNuPnmm7HPPvuU3N9rrYliAwMDOPHEE42yIs4///zI6z8EXbODiChMDFAQETWYWqXzuklbtmtUZDIZXHPNNVX7OHHixFgv2Vev3LxmRHHj5/3rZuqbiddee81ou8cff9xVu2HVf0in0+js7Ky4TdyXSiWi5sAABRFRg+nu7jbOVEgmk+ju7nb9HF7qXABAW1sbzjvvPBx00EEV98nn87ueJ51OY+HChUin07vaIfe8vmZEceD3/etmJYsg2Z9lpsKq/1BptaVkMolUKhVakU4iIjdYJJOIqMHY6bwmhSm9pvN6WbbOvqo5Z84cZLPZivtks1lMnToV27Ztq1h8jsz5ec2Ioub3/et26luQEomEUaDCa8DYVLnVlrq7uzmtg4higwEKIqIG5GcJPpPVHbzWuXBzFXTr1q17/KwWS/I1Ki41SPXM7/vX7dS3IB155JF46qmnqm43Y8aMmgQK2traGHwkotjiFA8iogbkJZ03l8uht7cXHR0d6Ovrw/z589HX14f29nb09vYil8vt2tZrnYug0qxZJ8E9LjVI9czv+9fN1LcgJZNJBlKJiFxIuJ0bR1TKtGnTHp00adKUZcuWRd0VIipiks5rV8evlnFhBzWy2Sw6OjqMgg3JZBKZTAZtbW1YuHAh5s+f7/t3Km6XqvP6mhHVUrkMriDev729vUZT34I0Y8YMrF69muOOiBrCrFmzsGnTpsfWrVs3NaznYAYFEVFEalUA0k7nveKKKzB79uySB79uq+N7XbYuyDTrsJbka1RcapDirFoG1z777OP7/WuykoUb+++/f8XHOzs78eEPfzjyZUaJiOoJAxRERDXmZipFLXitju9l2bqg06xZJ8EdLjVIcWRncA0MDOxxMm/Xnenq6sKVV17p6/1baepbIpFw1ecJEybgwQcfrDqNzu2UNn6mEVGzY4CCiKiGTA/Et2/fXrM+eamOD3irc+HmKr6JWtdJqPdlT7nUIMWRaQbXN7/5Td/vX3sli0wmg3Q6jQULFiCdTmPz5s1IpVJG/R0/fjwefvhhHHPMMSXbymQy6O/vx6GHHsraL0RELrEGBQWCNSiIzJjOgU6lUujv769Bj+C6LsSCBQtwxRVXjPqZm2XrTOpdmJoxYwZuvfXW0JcczeVymDNnDgYHB0cFc5LJZN0ue8qlBikOvNaWCOP9a/LZNGHCBDz88MPGQTzWfiGiRlKLGhRcZpSIqEa8TKWoxYFqEFf43CxbZ1/FnzNnDlasWAE/gfJVq1ahq6sr1Kv+lU5a6nnZUy41SG6YLD/shZcMLruWTtDvX+dnU7lg5NKlS12NcztrzCQwzdovREQMUBAR1YzXA/GwdXd3Y+7cucZX+Lq7u30/p51mvXbtWpx44om+ghR28c7ijJOgTqjcFBCtVdYLUa2Uyx6aO3duINlDO3bscLV92DUa7M+mIDM00uk01q9fX3WVJNZ+ISJiDQoiopqJ24G4LcrVHU444QSceeaZvttxFu8Msgip1wKiRI2gFjVz4lqjwWT1I1Os/UJEZI4ZFERENRLXA3Eg2Ct8bjMXTJ67GjvjJJVKBTodo5ZZL2Gl0BN5VYvsoSgyuKIQRmYGEVEjYoCCiKhG4nwgHsTca6+p4PZzf/7zn8fKlSs9/w7Dw8OBn1DVIusl7BR6Ii9qVTMnjjUaioOF06ZNw7p16wIJHrL2CxFRZQxQEBHVSBwPxJ38XOELopDk008/7av/+Xw+8BOqsLNeGrUAJ9W/WmYPxaVGQ7lgYbFaBQ+ZVUVEzYg1KIiIaiidTqOzs7PiNlEXS/My99pN5oLX/Sux53W7PaGqpru7e48545X64Dbrxe/fjSgstayZU61Gw+TJk3HWWWdh+fLlodV5qVRvo1hQ9Tcq9SWoOjpERPWGAQoiohpqxGJpblLBV6xYgYsvvhjpdHrXiYab/cvp6elBIpFwtY/JCVWYBURZgJPirNY1c+wMrkwmg3Q6jUsuuQSTJ09GPp/Hhg0b8J3vfCfUk3QvQdIwgoe1KExKRBRnnOJBRFRjjVYszU0qeD6fx6JFiwDsTpOeMmWK8f6l2Bkny5cvd7Wf6QlVWOnncV12lgiobc2c4qkM06dPx+LFi31PfTKdIuEnSOqn/kYpXNaYiJodAxRERBFplGJpblPBbfaJxu9+9ztP+ycSCZx55pm47LLLsHz5cmQyGSQSCeTz+ar7ujmhCqKAqM15wrR27Vqj57fVatlZai7lTuJrUTPHtOZDKZVO0t0WnnUTLCwWZPCwVoVJiYjijAEKIiLyxW0qeDG3J96tra244IILcNJJJ+Haa6/Fcccd5/rkwu0JVXHWywsvvIBsNouJEydi4sSJ2LlzZ8X9/ZyI2Wq57Cw1PpOT+DCLV1YqEGuq1Em6l8KzXoOstqCCh8yqIiJiDQoiIvLJTSFJvxKJBB5++GGcd955+Id/+AejgnbF/BQh3XvvvfH73/8eS5YswfLly7Fo0aKq8+LdFN+rZOXKlSyOR4EwrXOQSCSwZs0azJgxY48aL35r5vgtjGv3tbjYrZfCs36DrEEFD2tZmJSIKK4YoCAiIl/cFJL068wzz0RbWxs+97nPuT658XtC5bV4XRAnYgCwatUqFsejQJiexJ9//vmYM2cOVq9ePWrqVCKRwMknn4xLL70Uy5cvx8KFC0cVvq0miMK4NudJutfCs36CrH7rbzjVujApEVEccYoHERH5ZpIKXk1LS0vFK4KdnZ248sorceqpp2LVqlVGbSYSCcybNw/t7e2+i5B6KV4X5IlYqfaJ3HLznly5cmXJn+fzeaxatWqPcWhPD7n00kuxdu3assUp/dR8KOY8Sfc6RcJNvY1iXutvlFLLwqRERHHFDAoiIvKt0vKppi6++OKKy6/efvvtOOOMM4yDE4B1ItXe3o7Zs2f7OonwemU2yBOxUu1TvGSzWaTTadcZBbUUxnvSZmcSfehDH0JfXx/mz59fcgqU35oPtuKTdD9TJNLpNDo7O13t72e6WClhLmtMRFQvGKAgIqJA2IUkM5kM0uk05s2bt8e89XKSySRmzZo1av8FCxYgnU4jk8mgv78f3/zmNz1laAQxT9vLlVkguBOxcu1TPORyOfT29qKjo6PiiXkchPGerKZ4CpTfmg+24pN0P1Mk3ARZ/U4Xq8QkUBJ0YISIKE44xYOIiALlXD41k8m4Xqaw1PKrfqZKBDFP2+uV2bCKh7I4Xnx4WTUiSkEFB7ywpygtXrzYeCpDOaVO0v1OkSherWd4eBgtLS2YNm0a1q1bt+u+3+lilQS5rDERUT1igIKIiEIT1DKFXtPSg5qn7fXK7P333+/7uSu1T9HzUpskSm5O4sMwODiIJUuWeK75UOkk3U0tiUpTJEoFSY8//njXffWqXKAkzMAIEVFcMEBBREShCepqoNe09KDmaXu5MpvNZrF69Wrfz12q/alTpyKdTpctQki14aU2SdSvk5+CkEEYGRnBsmXL8Oabb1bdtrOzE8uXL8eDDz5ofJIeVFA0DkoFSoiIGh0DFEREFKogrgZ6SUsP8iTEy5XZdDrt6ir1UUcdhaeeeqrqduPGjUNXV9eotu3VE9LpNFpbW42fk/zxumpE1IJYdceP66+/vuo0pZkzZ+KWW27BoYceiilTpuz6uV2ItFxwjlMkiIjqGwMURERUE36uBrpNS58xYwZ+8pOfBHoS4vbKrNusj5kzZ+KNN96o2P5ee+2FrVu37vHzONY6aAZ+Vo2IkslJ/Jtvvll2mVG/TP4O73jHO0a9j3O5XMn+lgrOcYoEEVH9YoCCiIhiz00Gw4wZM3DXXXcZtZvNZjE0NGQ0VcLtlVm3WR8TJkwo234ikcABBxyAV199tWIbcap10Az8rBrhlpv3qun+lU7iKxX/rAXnlBivhUg5RYKIqA7l83l+8cv319SpUx89++yz80REYdm2bVu+s7MzD6DsV2dnZz6Xyxm1lUql8slkctT+yWQyn0ql8tu2bau4fzabzafT6fyCBQvy6XQ6n81m99hm8+bNe7Rf7iuZTI5qI5vN5q+55pr8kUcemU8kEkZtlGuLwuPnNTbl973qZ/9t27blJ0+e7Or9F+RXOp3O5/P5fCqVMto+lUq5/vsSEZG5s88+Oz916tRH8yGeVzKDgoiI6kJraysGBwdx6qmnlpzmMH78eNx+++1VpzcEsSykyZVZPysK7L333rj55ps9Xb2OU62DRhfUqhHl+H2vutn/rbfeKpmhkUqlsGHDBlf9Lufggw/Gyy+/bLz98PBwXRYiJSIi78JZoJ2IiChguVwOPT09JYMTALB161acccYZ2L59e8V23CwL6Vc6nUZnZ2fFbUoV8zTpYyVxqXXQDLy+xib8vldN9586dSo6OjrQ19eH+fPno6+vD+3t7ejt7UUy6e5QcfLkyUgkEiUfe+WVV1y11dLS4qkQKRER1S8GKOqEiLSLyLdF5AkReUFEsiLyoIj0icg+LtsaIyLniMhvRSQnIltF5DkRuVFE2kP6FYiIfAkisODlaqwfdt2KVCq1x4leMplEKpXa4+q3mz6W46fWAbnj5TU24eZ9sGLFCixYsGDU+9XN/lu3bt0jCGBnWPzwhz8sG3AolkwmcfPNN5fNYMjn80bt2G11d3cHUojUXvlj4cKFSKfTvsc1ERGFh1M86oCIfBnAdQBuBPBJVc0Vfn44gJsBfFZETlHVqnmTInIYgH4AbQDmALhDVf8qIuMBXANgk4j0qeqPQ/p1iKhB+S3iV63tINK8o1gW0u2KAm76WIp9Yhfm60GjhbFqhJv3QT6fxze+8Q1cddVVu1a08Ps+smWzWYwfP75s5pJTT08Prr32WmSzWd/Pa0+J8VOI1M3KH0REFA8MUMSciFwF4EoAn1bVXzofU9U/icj3AKwAsADABVXaGgfgDwAOAzBdVR9ztLUVwDkicgCAH4nIAaq6JNBfhogaUi1OAoIKLES5LKTpigJu+1hsxowZuPDCC2tyUtYsQRDT3zPIVSO8vA/srIdHHnkE73//+wPpBwBs27YNEyZMqBh46OzsxGWXXYbjjjvO9/M5p8S4WWLYDs4BwdSaISKi2uMUjxgTkVmwghO/KA5OFB4/HFZmBQB8qkpbYwD8EkAngOXO4ESRywvfF4nIJzx1nIiahn0SMDAwUDZFvKurq2pdiGqCCizUcllIr9z20WnChAl48sknPb8epqnwuVwOvb29ZesW5HI5z79DnET5e/p5H2SzWdxzzz2B9WVkZARf+tKXqk5jefDBB11lbRRPHSk1JcYuRGrCWYi0lrVmiIgoOMygiCkReRcAO4NhQZnN7gBweOH2wVWa/CKAvyvcXlZuI1V9RkQeAfAhWJkUR6jqW2a9JqJm4+YkoL+/3/PzBBVY8Ho1tpbc9NGWTCbR09ODN998EytXrqy4rf16LF68eFdWQDKZxP3334/Vq1dXzbpolivTUf+eXt4HYXr77berTmNxG0icN28e2tvbq06JSafTWL9+fcXPGmfWBVf+ICKqXwxQxNc3ABwCYIOqPl1mG+cR+23lGhKRfQvtAcAIgAeqPPf9sAIUHQC+ACBt0mEiai61PAkIKrAQ9rKQQXDTx/e85z34yEc+gnnz5mHcuHHo6Ogweo6BgQGsWLGiatHCUifitQpKRS3q39PN+6AW7KBfpWksbgOJ7e3tRhkMdiHSUlPJ7ODc0qVLdwWKoqg1Q0REweAUjxgqrMrxT4W791bY9GQAiwB8HsDFFbY7C4B9eedPqlptna9HHbfnVNmWiJpULZf/85rmXWrKQpjLQgbFpI8A8Oc//xnLly/HiSeeiO7ubldX292sqGCfiNd6FZRSarEiQxx+T8B6HxxyyCGhtO2GaTZRd3e3qxU/3GQo2YVIM5kM0uk0FixYgHQ6jUwmg/7+/lFZLFHWmiEiIn+YQRFPpwJ4V+H2hnIbqerjqByYsH3acftZg+2d23xARCaratl+EFFzqvVJgJs072qFOwcHB3H11VcbXY2NQqUrxqWMjIzgj3/8Y6h9GhwcxAc/+MHIrkzXckWGuFyBb21txec+9zlcd9111TcOkWk20T777IP99tsPr732WmBtFjMpRFoPtWaIiKg0Biji6RTH7cr5pVWIyN4APub40WaD3TJF92egQqCEiJpTrU8CTNO88/m8ce2AJUuWBLYsZNArWhQvXXnTTTdh48aNntvza2RkBA8//LCrfYK6Mh10PYhqr1WcrsBHXRuhpaXFOJtozpw5RsGJ/fffP9QMpXqoNVNKs6yKQ0RUCQMU8TTVcfvPACAiUwBcCOB4AO8A8J8Afg3g+6paqTz+sQDeWdxeFS/BqlVhTwE6wazbRNRMojgJKD5pLxVY6O3tdVU7wO+V77Cv7Le1teG0007DBRdUXEm6JtxMCwGCuzIdVD0I09fKbfBtYGAAn//85wPL4HDq7u5GX19f4O2auvjii42DPqbTYt544w3s3LnTb9fKqodaM061zA4iIoq7hNuDDQpXIePhVQD7Fn7UAWuKxkUALgHw/wC8BauuxM0AdgI4S1V/U6a9zwD4ueNHc1X13wz6MYzdRTg3qeoRlbafNm3ao3/961+nvPrqq9WaLktVPe9LRNHo7e01OglIpVI1KZiYzWbR0dFhHDTJZDK+Tk4qXdm3dXZ2+l7pIZ1OR3qSarv66qtx1VVXGf19E4kE5s2bh4kTJ/q6EhzUa+rmtXrrrbeMn7N436CnBmWzWUycODHQNk25GSNu36PpdDrUwpS1Gpt+1Us/iahxiIjnfQ888EDstddej61bt25q9a29YZHM+Pkb7A5OAMD5AK4GcKaq3qqq/6uqf1HVnwP4CqzlRYdE5MQy7Y0rum+6ZKhzu/ca7kNETSZuBSdrWbgTcHdl3w+3Uw7CkEwmce655xoXK83n81i0aBH6+vrQ3t6O3t5e5HI518/r9zW1i2p+/OMfN36t3BRlLd63GrdFPv2+R/1wk10Qp2kxwO4pYalUCsnk6MPdZDKJVCoVi5P+Wn2GEBHVC07xiJ/ivNIrAPxQVUut5nErgGsAvBvAUhGZqqrFR3H7F903zal0blfcRklHH300li1bZtg8ETUCt8v/ha2WJ0m1XGbV7ZSDMBx77LEAzIqVFvNSJ8Lm9jVdtWoVuru7sffeexsXGXWyXysvv2el19lrGn9UwSm3gcU4FqY0mRIWpVp+hhAR2fxkrc+aNQubNm0KsDd7YgZF/JT6D19ySoaq/hVWHQoAmAxr2dFifym6P8awH87titsgItrFzfJ/YavlSVItszW6u7v3uArsxfjx4z3vu2HDBrS3t+86yS51ZboaL1eC3b6mK1euxMSJE3H44YdjYGDAVXAC2P1a2cG3yZMnu963mJ3GX6o/dvCmq6sL27fvWVIqiuDUjBkzXAeS3LxHa12Y0l7544orrsDs2bNjc5Jf64wvIqJ6wAyKAhE5CMCRET39elW1p1S8WfRYTlUrlW1/DMBnCrd7AKwqerz40ss+hn1yTjOJPreYiGLPZPm/sNWycGctszUmTJiAk08+GatWFX/Eu7Nt2zZMmDAB2WzW0/7lVkF54YUXsHjxYqMimm6vBLt5TW35fN5oNYly7GkXra2tSKVS2LDBfCGrUq+znyKfXn5/v2bOnOk6sFhvhSnjIG7TYoiI4oABit2mAPh9RM/dgd1Le75Y9Fi1oyLnsqGlLvNkiu4bTdcAsJ/j9guG+xBRg6jX5e5qeZJU65T2D3/4w74DFCMjI/jSl76ERx991PXUB6fnn38eU6dOxWc+8xlMnDgRBx98sPEKH/aVYNNglpvXNCirV6/Gt7/9bQD+X+cg0viPPfZYV0ESv7yeCJtMi6llTZq4i+O0GCKiqDFAsdtjAKZH9NzbHLdfKnqsOGBR7BXH7VJrUP2x6P57qnVGRPbH6KVJa3dURESRaoTl7mp1klTrZVaDuoL+9ttvj5qXf9NNN2HjxkqJeqVt3boVixYt8tQHtyfAXupB+PH444/vChT4fZ29pPHPnj277Fj04pBDDsH//M//GG/v9UQ4bjVp4i6KpZqJiOKOAYoCVX0FwNo49ENE/hvWah4A8IaL3ffYVlW3iYgCsNeTMTlRORePAAAgAElEQVQqKD77KFWgk4gaTKXl7vwUOay1Wp0k1TqlPahaBPbJZ1tbG0477TRccMEFgbTrpQ+mKr2mYXAGCvy+zl7S+E2WnjQ1efJk3HzzzTjuuONqciIc98KUccJpMUREe2KRzHj6g+P2O8tuZXEeYZebVHy74/b7DJ7fuc1OAHcZ7ENEda6RlrurVeHOWi6zGkShzOKTTzdX94Pi9QTY+Zp+6lOfCqFnozmzPPy8zl7S+E3GoolkMomhoSFMnTrVeNnUoE6E41qYMm7itlQzEVHUGKCIp/9w3B5XZVvnUXa5Ghq3Om5PEpFElTaPcNzuL2SXEFED8zJPvh6EfZJkX9kvtaJFMplEKpUKLOPEvtrqR/HJZxRLWPo9AW5ra8PJJ5datCpYziwPP6+z29UtJk6cGFi9DeffmifC8VTLzxAionrAKR7xtALADQD2xuhgQSnHOW6XPKJR1Y0icgeA0wC0AJgE4OkKbZ5Y+D4C4HqTDhNRffM6T55qm9LupxZDqZPPWi9hGWQ2SZgrW5TK8vD6OrtJ458xYwbOO+883/0H9vxbsz5EfHFaDBHRbgxQxJCq5kTkpwC+AGCciLxPVZ8r3k5E9gFgX0b6pao+U6HZiwB8EsA7AJyCMgEKEdkXwEcLd29RVRbIJGoCXO7Ov1oss1qtFsPBBx+MV155ZdSKGpVOPsM60U8kEsZ98CLslT0qZXnYr7O90s1tt91WdaUb08KtAFwVswTc/a2dJ8I//elP8dBDDyGRSOC4447Dueeey+BExOKwVDMRUdQYoIivrwP4FKwpHucW7hc7HcCBsFbyuKRSY6r6rIhcAOBHAL4oIjeq6l9LbPqPAN4NYCOACz33nojqCpe7qx/Vrra6uQob1on+1VdfjZaWltCzSX73u98FHiyrluXhZaUbk+yFyy67DMcddxzccvu3zuVyuPDCC0f1484778RVV11VNyv1EBFR40qYrltOtSci0wD8GlbWQ5eqrnc89l4AD8AKJpykqg8atnk5gG8BWArgAlUdcTx2BIA1ALYD+Liq/pdpX6dNm/bopEmTpixbtsx0FyKKkWw2i46ODuMq/5lMhqnHDSLIFSOA2r4/rrnmGnz966Xi96WdddZZ+NrXvoZrr73W0zQHk79VZ2dnxZoB5QJI6XQafX19xr+L3Wc3f+sg+k9ERM1r1qxZ2LRp02Pr1q2bGtZzMIMixlR1nYh8CMAPANxbmPbxFIAJAM4HsAVAjzNwYdDmNSLyBIAlANaJyCCAYQDHAPgsgJ8DuEhVXw30lyGiWONyd82r0tX9RCKBgw46CC+//LJxe7V8f8yaNQvz5883Dqx997vfRVtbm+f5/m5Wuunv7y/5eLk0fi8FS93+rYPof5DsaTI7duyoOk2GiIiaAzMo6oSITALw/wF4D4CXATykqo/4aG8MgC4AkwHsDyvYcY+q5ry0xwwKovrHq6tU6qR97733Ns6wiOL90dvbaxRYS6VSvk66w84ycptB8e53vxtPPfWU8d86m82ivb0dJsd9iUQCmzdvDi1YUG6ajJ3FwmkmRETxxAwK2kVVNwHYFGB7bwO4t/BFRMQq/1T26n6lwpyAdUJ75plnRvL+MC1A6Xf1kLBXunFbsPTXv/61q7/10NCQUXACAPL5fGgr9VQKhI6MjGBgYADr169nIJSIqEkxQEFERLtwubv4ijIdvrW1FYsXL8YHP/hBPPzww3j99dex3377YdKkSWhvb6/6/giz77UKrIW90o2baVapVApTpkxx1X4mkwl1e1Nxm2ZCRETxwgAFERHtgcvdRaf4ZH769OklizpWWjUiSJXS8ffdd1/Mmzev7PN7WfHCi1oE1mqx0k2Y2SCbN28OdXsT2WwWg4ODRtsODg5iy5YtDIwSETUZBiiIiIhioNzJfDm1SIf3k44fRSp/mIE1N1Mwkskkuru7XT9HmNkgEydODHV7E2FPkyEiovqXjLoDREREzc4+mR8YGDA+gbPZ6fBhcJOOH+S+cWRPwTDhZyUTOxskk8kgnU5jwYIFSKfTyGQy6O/v9xzMaW9vD3V7E2FPkyEiovrHDAoiIqKImZzMVxJGOryfdPw4pPKHUfeiVgU5geCzQWqRAVJNLabJEBFRfWMGBRERUYTcnMyXY6fDB8lLOn4Q+/qVy+XQ29uLjo4O9PX1Yf78+ejr60N7ezt6e3uRy+25mnY2m0U6ncbChQuRTqexZcuWkm3bUzBSqRSSydGHUMlkEqlUKrarT9QqA6SS7u7uPf5u5YQVJCEionhjBgUREVGE3JzMVxJ0OryfdPyoUvnd1r3wUsSznle6qWUGSCluVioJK0hCRETxxgwKIiKiCLk9mS8n6HR4P+n4UaXyu6l7Uanuhx3M6Orqwvbt20u2Y0/BuOKKKzB79uy6OJmOQwZIOp1GZ2dnxW3CDJIQEVG8MYOCiIgoQm5P5ksJIx3eT82CKOoduK178frrrxsHM/r7+333Ly6izgAJc6USoiCFUceGiKpjgIKIiChCbk7mywkjHd5POn4Uqfxu617cfffdRtuGVcQzamEuyVpN1EESokq8TP0iouBwigcREVGE3BQvLCXMdHg/6fi1TuV3O1Umn88bbRdGAVKy1OM0GWpsfqd+EZF/DFAQERFFzORkvlgtagb4qVlQ63oHQUyVKSfoAqREFE9u6tgQUTg4xYOIiChiJvPyL7/8cjz44IOR1Azwmo5fy1R+N1NlEomEcQYFEHwBUiKKH7d1bBpx6hdRHDBAQUREFAMmJ/NTpkyJrH9+ahbUot6Bm7oXp5xyClavXl3TIp5EFG9u69gMDQ0xk4IoBAxQEBERxUiUxQvrXTqdxvr16yumaHd2duInP/kJZs+eXdMinkQUb27r2HDqF1E4WIOCiIiIGoKbuhe1LuJJRPHmto4Np34RhYMBCiIiImoY9lSZTCaDdDqNBQsWIJ1OI5PJoL+/f1dRzloX8SSieOvu7t7js6AcTv0iCg+neBAREVHDMZkqU8sinkQUb27q2HDqF1F4GKAgIiKipsa6H0QEmNex4dQvovBwigcRERERETU9Tv0iih4zKIiIiIiIiMCpX0RRY4CCiIiIiIjIgVO/iKLBKR5EREREREREFDkGKIiIiIiIiIgocgxQEBEREREREVHkGKAgIiIiIiIiosgxQEFEREREREREkWOAgoiIiIiIiIgixwAFEREREREREUWOAQoiIiIiIiIiihwDFEREREREREQUOQYoiIiIiIiIiChyDFAQERERERERUeQYoCAiIiIiIiKiyDFAQURERERERESRY4CCiIiIiIiIiCLHAAURERERERERRY4BCiIiIiIiIiKKHAMURERERERERBQ5BiiIiIiIiIiIKHIMUBARERERERFR5BigICIiIiIiIqLIMUBBRERERERERJFjgIKIiIiIiIiIIscABRERERERERFFbq+oO0CVicjRAD4L4GQABwLYF8AIgM0AfgXgF6qac9nmGACzAPwzgKMAvA3gdQB3A/iuqmaC6j8RERERERGRCWZQxJSItIjIjwE8ACt4cIaqvl9VJwI4BsD/AXAxgGdF5Esu2j0MwBoA1wBIAzhMVccD+AiAgwBsEpEvBPrLEBEREREREVXBDIoYEpFDAPwOwKEATlDVjc7HVfV/AdwiIncUtvu+iBygqouqtDsOwB8AHAZguqo+5mhzK4BzROQAAD8qtLck0F+MiIiIqI5ks1kMDQ1hx44dGDt2LE4//XS0tbVF3S0ioobFDIqYEZEkrKkbxwC4sDg44aSq/w2gF9YUje+IyJEV2h0D4JcAOgEsdwYnilxe+L5IRD7h4VcgIiIiqmu5XA69vb3o6OhAX18f5s+fj76+PrS3t6O3txe5nKvZtUREZIgBivg5E8CJAN4CMFBtY1XdBGAI1ms5p8KmXwTwd4Xbyyq09wyARwrt/UhE9jXrNhEREVH9y+Vy6OrqwsDAAEZGRkY9NjIygoGBAXR1dWH79u0R9ZCIqHExQBE/pxW+v6Sqbxnu81Dh+9RSDxaCDN8o3B2BVdeikvsL3zsAsB4FERERNY05c+bg+eefr7jN888/j9mzZ9eoR0REzYMBivhpLXz/GxHZ23CfVwrfDyzz+Fmw6lkAwJ9U9ZUy29keddyulJVBRERE1DCy2SwGBweNth0cHMSWLVtC7hERUXNhgCJ+thW+j4G1vKiJ8YXv5epVfNpx+1mD9pzbfEBEJhv2g4iIiKhuDQ0N7TGto5yRkREMDQ2F3CMioubCAEX8POG4/W8icorBPicXvv+g+IFCFsbHHD/abNBepuj+DIN9iIiIiOrajh07XG0/PDwcUk+IiJoTAxTx81MArxduHwRglYjcISIfFZFE8cYiMgPANADXqeo9Jdo7FsA7Hff/bNCHl2DVqrCdYNJxIiIiono2duxYV9u3tLSE1BMioua0V9QdoNFU9UURuRDADx0//lThKyMitwG4TVVfEJG/B3ArgMtV9doyTb6/6H7VUL+qvi0irwCw/0sXt1HSk08+CREx2bTc83rel4iIiMiv7u5uzJ0712iaRzKZRHd3dw16RUQUHD/nawceeCD22ivcEAIzKGJIVX8E4F8BvFr0UDuAKwGoiDwCYAWAT1UITgDAuKL7piuDOLd7r+E+RERERHVrwoQJ6OnpMdq2p6cHbW1tIfeIiKi5MIMiplT1+yJyO4DbARxX9HAC1rQOALhHRP4NwHdU9XXsaf+i+zsNu+DcrriNko4++mgsW7bMsHkiIiKi+Emn01i/fn3FpUY7OzuxdOnSGvaKiCgYfrLWZ82ahU2bNgXYmz0xgyKmROREAKtg1aOYAuAcAPdgdG0IwJqG8Q0A60RkYomm/lJ0f4xhF5zbFbdBRERE1JBaW1uxZs0apFIpJJOjD5WTySRSqRQeeOABHHrooWVaICIir5hBUSAiBwE4MqKnX6+qu6ZUiMjZsIpl3gfgZFX9C4D1AP5dRMbDWn70XIzu7xEAVorIVGdbAIrLUe9j2Kd9K7RBRERE1LBaW1vR39+PLVu2YGhoCMPDw2hpaUF3dzendRARhYgBit2mAPh9RM/dgcLSniLyQViFLwHgnEJwYhdV3QrgehFZBCAF4AYA4wsPHwXgbMf+wJ5LhhpN1wCwn+P2C4b7EBERETWMtrY2zJ49O+puEBE1DQYodnsMwPSInnub4/ZFsLIc7lPVLeV2UNU8gH4RWQPgDwDeV3jokxgdoPhj0a7vqdYZEdkfo5cm3VBtHyIiIiIiIiI/GKAoUNVXAKyNuh8APlL4/qTJxqq6TUQuB7C88KNDSjyuAOz1ZEwmTLYW3b/XpC9EREREREREXrFIZvzYAYSXXOzjDCCUqhdxu+P2+0o8Xsy5zU4Ad7noCxEREREREZFrDFDEzxuF76bFLIHRQYnHSzzunPIxSUQSVdo7wnG7v5BdQkRERERERBQaBijiZ33he4eLfSY4bg8WP6iqGwHcUbjbAmBSlfZOLHwfAXC9i34QERERERERecIARfz8tPD944VilSZ6C98HVbVc7YqLALxZuH1KuYZEZF8AHy3cvUVVWSCTiIiIiIiIQscARfz8O4C7YWU6fKvaxiLSBuBSAJsBfL7cdqr6LIALCne/KCLlCqT+I4B3A9gI4ELzbhMRERERERF5xwBFzKjqCIAUgHsAzBWRH4jIwaW2FZG/hVUgMwPgJFWtWFhTVX8M4OsAPgDgBhEZ9fqLyBEAbgCwCcAnVfU1n78OERERERERkREuMxpDqvq6iJwE4DwAXwOwRUR+BeAxAK8BGA9gOoDJAG4CcK2qvmXY9jUi8gSAJQDWicgggGEAxwD4LICfA7hIVV8N+NciIiIiIiIiKosBiphS1Tys1TduFZGjAPwtgHGwpl9sAbAKwCOq+raHtu8QkbsAdMEKchwI4D4AV6pqLqBfgYiIiIiIiMgYAxR1QFWfAvBUwG2+DWt6yL1BtktERERERETkBWtQEBEREREREVHkGKAgIiIiIiIiosgxQEFEREREREREkWOAgoiIiIiIiIgixwAFEREREREREUWOq3hQ3RARAICqRtwTqgW+3s2Fr3dz4evdXPh6Nxe+3s2Fr3dzefLJJwFgSpjPwQwKIiIiIiIiIoocAxREREREREREFDkGKIiIiIiIiIgocgxQEBEREREREVHkGKAgIiIiIiIiosgxQEFEREREREREkWOAgoiIiIiIiIgixwAFEREREREREUWOAQoiIiIiIiIiihwDFEREREREREQUOQYoiIiIiIiIiChyDFAQERERERERUeQYoCAiIiIiIiKiyDFAQURERERERESRS+Tz+aj7QA1g2rRpL+67777v6ujoCO05nnzySQDA0UcfHdpzUHzw9W4ufL2bC1/v5sLXu7nw9W4ufL2by9NPP418Po/HHnssEdZzMEBBgZg2bdoLAA4CkIm4K0RERERERBS8dgCvrFu3LrSr0gxQEBEREREREVHkWIOCiIiIiIiIiCLHAAURERERERERRY4BCiIiIiIiIiKKHAMURERERERERBQ5BigodkTkSBGZbrBdQkTOFJGWWvSLiPzj+CZqXBzfRPVHRMaLyCmG235CRNpD7hI1ub2i7gA1BhHZG8BnAfQCmABrydGxAF4E8DCAnwG4S1VNlo1JA/h7EbkbwC8BPAhgC4B8oc33A/h7AJ8B8AaA37jo5xgAswD8M4CjALwN4HUAdwP4rqpmTNsiahYikgRwBoBPAzgMQAeAfQBsA7AWQD+A1RzfRI1BRI4D8BCADpfjhuObqP4sAHCeiNwH63j9PgCbAewEcDCAwwGcCOAfAfwNgC7ThkXkDACfBzAV1pj9K4DfAViiqk8E+DtQA2GAgnwTkaMADMA6Sfmcqv658PMDAPwLgO/AOhj5g4icrapbqzSZLHydWvgq51EAM1T1VcN+HlboYxuAOQDuUNW/ish4ANcA2CQifar6Y5P2mlnAASlnu4H+I+MBrX8icjiA7wO4B8CXVfXFws87AMwGcCGA8wE8ICJfUNWNVZrk+I65gANSznY5vuvHP3vcj+O7DvkISDnb4PiuX3ZG/d8Vvsp5HsBJqvpf1RoUkbEAlhXa+yqAM1V1p4i8C8BlADaIyNWq+k1/XadaEZG/h3Xc1wUr6AwA9wNIq+r9QT4Xp3iQLyLyHlj/gJ5U1Svs4AQAqOr/qupiAHMLP/p7AL8vfGj58RcA1wGY7ny+Kv0cB+APAP4WwGmqOqiqfy30c6uqngNgJYAficiFPvvX0AoBqScAvA9WQOqDqtoB68DxJgBnAbgT1ms93rDNsSJyJ4DbAAwCmKiqhwGYAivosUFErnTZz8MArIF18JoGcJiqjgfwEVgBlU0i8gU3bTabwrhZAeASVf2OHZwAAFV9QVUvwu4TmRMBrBGRI30+Lcd3hAoBqdWwxveXVfVEVR0HYBqsE4PzAKwCcL/pa83xXV9E5BMAvhxS8xzf8eQ1IMXx3RzyAH4CYLKqPldt48IFyl8DmAngbFW9RVV3AoCqvqSqFwP4HoCrROSGEPtNARCRfUXkVlgZb48AeH9hjH8AwGMAficiPyhcvAxEIp93dQGEaBQR+QaAbwIYUtXTy2yTAPAcACn86AZVLXsQISL/AWATrLTQTwA4BNaH41ZYkbr/o6pZF30cA+D3sKK4P1PVWWW2+0DheUcAnKyq95g+R7MoBKSeBHCfqvaW2eZfASwt3H0OwHGquqNCmwfACnJ9CNbB550ltlkM60r991T1Kwb9HAfrvXIYrAPhx0psMwDgTABfVdUl1dpsRiLySwBrq/19ROR2APb4fwHAkar6Zplt/wMc37FUGDerAZyjquvLbHM2rKtiALADQFelrBmO7/pR+Hz/J1jp3vsVfuzqijrHd/0pBKRWw7po6fb15vhuACLyU1hZsL+HFVQ4FNb7YTusrLmfqerTLtr7OazM6TWq+uEy24wF8F8A3gnrYtdP/PwOFA4R2QtW4PFTAOao6tIS21wAK+C0AsA/qOrbfp+XGRTk14cK37tF5E4R+ZviDQppwEOOH80qBC0qyanqt1T1o6p6jKoeq6ozCj8zPrgp+CJ2p6wtK7eRqj4DKzKYhHUlZl+Xz9MMvgxr/mGlKOn3AWjh9vsAVLty8iNY76M1pQ5uCq6GNV95roicV6mxwgHtLwF0Alhe6uCm4PLC90WFAzRyKBwkpmA2R/xWx+0OAOdU2Z7jO55uAPCTcsEJAFDVnwH4VeHuWAB3isg7KrTJ8R1jIrJIRDIi8p8AnoX1WuxXZbdqOL7rgIi8R0S+Cms8ez0f4PhuHDtU9XuqelIhM/YYVf1EITvaTXDiVFjBCaDymN0BK9sWAJYUAqQUP1fDCk5kYR3fl7IUwH/CChp+I4gnZYCC/Ppfx+2ZAL5dZrs/OW4fAuBdofXIoXCQYg+WEQAPVNnFnkPVAYDpg3sKNCAV0j8yHtAG4xgAY2DVGKlmXdH9mcF3Z08c38EJIyDF8R1/qnqRqrar6mGq2gLrQDQWOL6DF2RAiuObyviW4/Z9Vba1x+zBAL4WTnfIKxE5BsAlhbu/UNWRUtsVMiZ+Ubj79QCm+jJAQb4thVW4qJoxRfd3htCXUs6ClaoGAH9S1VeqbP+o4/accLpU14IOSAX6j4wHtIE6qPD930Xk2yLyoQrb/k/R/cND6lMxju/ghBGQ4vgmPzi+AxZwQIrjm0YRkQ8DmFy4+yaAakWznWP2fBF5ZygdI6+uxu7zN9MxPqawny8MUJAvalVt/RiAf4dVyOjSMpu2O24/o4aVuwPwacftZw22d27zARGZXHbL5hRYQCqkf2Q8oA2OPU3n3bAOKB8SkXKF8w4sul+r4kYc38EJNCDF8U0B4PiOKY5vKsM5Zv+k1Vd6co7ZsQBODr5L5IWITATQ7fhRuelWNud4PKNQ6NYzLjNKvqnqvQDurbKZc7mxhSbtisg+sCpL98BaIaIN1onuc7CqA/9QVbdX2H9vWMET22aDp80U3Z8BYINJf5uBqt4vIh+DtazkK7CKqZXS7rhdLiAVxD+y2yu06emAVlX5els2AFgPq3I+ACQAfAml5yAWr9ZSdb4qx3fsFAekLhGR2apa6vU2CUhxfDcxju+Gx/HdgMRaYjoFa+qOvTobYI2t38Iat89XaOIUx+2qY1ZV/ywir2P3NKMZ2PN9QdE4C7sTGV5V1W2VNlbVrSLyGoD9YV2k7IVV18oTZlBQ6ETkNACTCncXq2rZeYUOR8JKJ3oHrIqwxxbSEU+H9b79JoDnReRfKrRxLKzqwDaTJc1egpVaaDvBYJ+moqr3quo5qtqnqv9dZjOTgJTrf2Sw1kC3zXA+HuABLWFXLZHPAcg5fvxomc2Li5T9e5XmOb7jxw5I2eyAVCkmASmO7+bF8d34OL4bz2GwgodHwVpV429V9RAAH4W12sYlsJZ3vapUXTEReTd2r9YHmI1ZYHRGHsdsfDjHuGlxY+e49TUeGaCg0IhIUkS6Ya2d/DyAz6jqPMPdzwLwDVVNq+pr9g9VdS2sf2IbYEVcfyjl1z1/f9H94WpPWij04kwrLG6DqjAJSIX0j4wHtAErXI06HFaNgRkoMc+3cKDiLJJ4p6oOFW9XhOM7ZoIMSHF8Nz2O7wbG8d2wPg7g/6nqVepYGl5VnwBwBoBVsFZwuxKlr4y7HrMFLzluv89glT+qjeMct72M8eP9PDkDFBQIEVkuIjtF5C8i8pqI2NHyXwF4EsBMVf2/Lpr8jaquLvWAqr6J0bUurhORvy2x6bii+28ZPrdzu/ca7tP0XAakwvhHxgPaEKjqa6p6l6reraXXtv4irINLwCqS9FmDZjm+YyjAgBTHd3Pj+G5sHN+N6VkAPy71QGH1hq9i93S+CwoXo5yCGLPvhDUFiCJUWNXLOZXTyxg/WEQOLbtlFQxQUFD2gRXJ/h2seUetsIqufQZWuudGEfl5IfJezVsA/qPKNr/B7kjdXgCuKLHN/kX3TVcOcW5X3AYhkIBUGP/IeEBbY4UidNcV7v4ewCkGBXA5vmMsoIAUx3fz4vhufBzfjectAH+oVEtEVTdhdE2Xq4o2CWLMlmqHai+I8Qj4GJMMUFAgVPV0AO9U1ZNVdZWqvq2qOwsnqR+DVeX5MwAeEZHOKs1dAuAHVZ5vBNYa2LZPlagK/Zei+8UrS5Tj3K64DbL4DUiF8Y+MB7Q1VAhO3AMryv5vAE52pnNXwPFdp1wEpDi+mxfHd+Pj+G48i2C2NORax+0pRcfzQYzZUu1Q7UUebOIqHhSYcpFXVX1SRL4HK62zA8AKETmhkOpZavs/Gj6ls5LwPgCmAFjj+NmO0ZtjH8N2963QBsEKSIlIoug1fxvA/xWRJwE8DCtYcYKIfKJE1ecw/pHxgLZGROSTAPphBbk/raq/NN2X47s+lQhIXaSq5cYLx3eT4vhuChzfDUZVnzPctPhYbrrjZ0GMWQB42XA/Ck/kwSZmUFCt/MJx+4MYPYfZq+Ird8VznTJF900jefs5br/gpkPNpFJACsD3CnftgNQ7ijYL4x8ZD2hrQETOB3AXrKrO09wEJ1zi+I6JQkDqD7DGyqdVdW6F4ATA8U3VcXzXL47v5lVp3GaKHvMyZreVu3hJNRXUGPc8JplBQbXyFKzUH/tNfi6AH5baUEQOhLWs0euqek+FNkeK7hefBBdfyXlPtU6KyP4YXUmaa2p78wvsLoRmB6Scr3emaPsg/pEF0SYPaCsQkW8BuBzWqg1fVtXXq+xSqg2O7zpSCEj9AMAmAL2q+ozBbpmi+xzfTYLjuylkiu5zfNc5EdkXwEdgHaOvUtW/ltm00rj9E6xaZPZrUnXMltiOYzYeNsMqiGoXsvUyHvMwWy64JGZQkC8icrSIPCQi/ysiq0SkZPXdQrE1ZyStZLVlETkcVpHFXwH4jYj8W4WnLx4wzuVtoKrbAKjjRybVZG/av3MAABVvSURBVFuL7t9rsA/tyQ5I2c4tetz+R2YL4h8ZD2hDIiJjRORWABcC+IKqnlMuOCEiR4nIzDKPcXzXkUJA6mYAPwdwvGFwAuD4bkoc302D47uBFGqFPQLgbgBDAFZU2LzsuC0ENR50PFZ1zIrI3gDe5fgRx2wMqOobAJzTfryM8U1+smEYoCDPRGQfAHfAWit3fwCnAPjXCrs4K8LvV2ab6wBMcNyvNBWkuDrsEyW2ud1x+30V2iq1zU5YqexUEFRAKox/ZDygDdWPYC09OV1Vb66y7QzsXuWhGMd3HfAbkOL4bloc302A47vhfB3AMY77p4lIS5ltq41bt2NWMPpcdNBgH6qN+xy3TZcLdY5JX+ORAQry40QA7UU/O6DUhiKSxOh/TuXSfrqK7m+t8PyTHLfXF/7BFbvVuX3RutulHOG43a+qr5TdssmEEJAK4x8ZD2gDJiKzAfwzrBUbTArgTcHotbCdOL7rQxABKY7v5sPx3Tw4vhtH8bjdAaDcilzOcfs/sAqiO/0CwBuF2+PKXcRycI7ZB1xk6VH4nOPxsBK15EYprMQ03vEjX8EmBijIj+Lo9bMoU1cCwAcwunjKr8tsVzyfsOQVGBF5F4CjHD9Kl9pOVTfCOqkGgBaM/nAt5cTC9xEA11fZttkEHZAK4x8ZD2gDVEj9/DaAX6nqeoPt3wngkwCGy2zC8R1zAQakOL6bD8d38+D4bhzOcftnAJ9V1T2WlSwc133Y8aPvF7Jld1HVF2FNC7RNr/LcJzpuf8esu1Qjq7E7yJyEdR5XySTsrlmRhbXql2cMUJAf/1n4/icAh6jqB1S1XGbE6Y7bbwG4ocx2Gwvf1wI4WlUfKbPdP2D3+/deALdV6OdFAOx5UKeU26hQJOijhbu3qCrnM44WaEAqjH9kPKAN3GdhBaESIlK2qLKIJEWkA8BPARyC8hkUHN8xFmRAiuO7KXF8NwmO74Zij9sXAByhqqvKbHcSrNcFAJ5B+YDCN7G7NkXZMVv0+G9Udcigr1Qj/397dx4nWVUdcPx32AbZl5EPqyCFgowsKkHcWAREQWTVAZckuCQKQsTgAoIBFyQqCC4hkeQDGiVixIAsahh2kLggCgIiPkDZkVVAYARO/rivnTdvqruru6uneqZ/38+nPlX31X3n3Z6e11V16t1z65W6TmhseuVwfbs8f3w7eTVWJig0EVcBtwNRv1h1VRcyOrhuJvDOqqraaykPGfrAe8cIc55nAB+sm0PZ3mFPhKqqfgMcUjf/foQPWrOB1Sl/rA8dLt40NhkJqcl4IfMNbf/sWt/vDcztdDpPd7tR1rq+hfLBA4a/gsLze2rrd0LK83t68fyeXjy/Fw9D5+0Dw72Xr69mGVqZ7QlgdlVVXaeB1DHeQZnm+456ZZ9uMbcFXgzcw8j1ajQ4X6as4AW9n+M3ACdP9MAmKDRu9ZuKA4B1Op3OId36dDqd5YBvUArrPEZJTpw+QthTgTOAXTqdzgLZ8/rNySmUuYfXAttUVTXSPNehsZ5CKQS0MXBifalaM+6LKB+ifw3sPNwf3mmu7wmpyXgh8w1tX23ZeBzAksPc2q8lw31g9fye2vqakPL8XiStMUp7JJ7f04jn9+KhqqqLKFegbFn/rrr5FLAd5dL9V482/a+qqh8A7wRWBL5e1zD7i06nsxYlwX03sNMwNWg0YPVUn/0pq/bs1ul0NujWr/7C4g2U2iX71VdfTEhk5kRjaJrrdDovAY6n/CH6X8ofMChFkWYDKwNnAh/v5c1Ip9NZEvgAcBBlDtN1lIz6upQTZQ1Kdu6Tw31LM0Ls3YEvAH+kFHB5iFK9+K2UpfQOq6rq0bHEnE46nc6OwLnAR6qqWmAJuToh9U1gT0pC6uCqqk7rIe5fA/9Rx57dnP9Yv5BdSVlve+eqqq7vcaxHAJ8GvgIcUlXVs43nXlTHvBfYsaqqu3qJOZ3UHwLmUhIQY7VqVVUPd3vC83vq6nQ6d7PgVK5ebFhV1a0jxPX8nqI6nc7ngX0bm9YGlm60n6T8Ow75TlVVh40Qz/N7EdLpdN5CSSoNeXlVVe3Ch6PF8PxeDNS/x49Tvoy6GniU8nqwD2W6zdeBI6uqun/YIAvGfCXld7gCpW7JPZRV3f4WuIDyHvGe/v0UmgydTmdnyt/cX1HO40cbz61E+Vu/CfCmqqou6ccxTVCobzqdzvqUeYjrUT7U3APcRimItEDBnR7iLQVsS/m2ZXVKZu564IpqAmvr1m+gXkX5dnh5ylUBc/wj2Zt+J6Qacfv+QuYb2qnL83tqmayEVCO+5/c04vk9NfU7IdWI6/m9GKincmxDKWL7XMoU3ZuAy8b7b13H3IqyAtzKlKsmLq6q6rZ+jFkLR6fT2RT4F8qVbF+jFL9fn3JV1PXAgfUVUH1hgkLSuPQ7IVXH7PsLmW9opanB81tafHl+S4u/Tqczi7Kay+qUGjSXV1V1Y7+PY4JCkiRJkiQNnEUyJUmSJEnSwJmgkCRJkiRJA2eCQpIkSZIkDZwJCkmSJEmSNHAmKCRJkiRJ0sCZoJAkSZIkSQNngkKSJEmSJA2cCQpJkiRJkjRwJigkSZIkSdLAmaCQJEmSJEkDZ4JCkiRJkiQNnAkKSZIkSZI0cCYoJEmSJEnSwJmgkCRJkiRJA7fUoAcgSZImV0S8Gjh3nLvPBR4F7gNuAK4AzsnM+/s0vGFFxC+AX2bm30z2sUYZx/bAxSN0eQRYLTOfHUfsa4HnDfP04Zl58lhjTlURcR3w4hG6HJCZpy2k4UiSpiATFJIkLf5+BmzZaM8CzgaWbGw7CvgmkK19VwQ2Bd7ZuP05Ir4OHJWZd0/GgCNiY2ALYIOIWCYz507GccbpSmAO8Kv6dvN4khO1XZn3fmwF4AfAOnV7xkQGOQVtDmxISVLMAl4DvH6gI5IkTSkmKCRJWsxl5pPAbY1Nt0XEXcB6jW2nZ+atw4S4DjgjIt4PfAlYGngXsFtE7J6ZP5uEYe9f368M7AycNwnHGI+ngJ3qf9MJy8w7mu2I+C3zEhSLlcxMoKpvZwNExO3AuoMclyRp6rAGhSRJ01P7G/9RrwDIzC8DpzU2rQn8d0Ss2MdxDZndeLzvJMQfr3v6lZwQUJIVkiQBJigkSdLYHNdqbwC8rZ8HiIgtgE0am/aIiKX7eQxJkjT1mKCQJEk9y8ybgLtam3ft82H2a7VXBXbs8zEkSdIUY4JCkiSN1Z2t9npde43fW7pse3OfjyFJkqYYExSSJGmsnmm1+7baRERsTVnp4abWU3tEhMW9JUlajJmgkCRJYzWz1b6ja6/xGZre8W7gicb21YHX9vE4kiRpijFBIUmSelav2LFha/MP+xQ7KFM5bszMK4Dvt7pMpdU8JElSn5mgkCRJY7En879/eID5lx6diFcD6wL/Vbe/3Xp+r4hYsk/HkiRJU4xzOSVJUk8iYgbw0camp4F3ZeYDfTrE0PSOb9X35wJ/Apar2zOB7YEL+3S8hS4ilqGsSDILSODH9dUi/Yq/AbAdsDbwJKWWx6WZ+fg4461JSRytAyxLmc5zeWb+vtVvdcoVLjOAqzLzp+P8ESRJ05hXUEiSpFFFxNLAqcCm9aYHgb0z8+w+xV+S8gH36sy8GaD+UH1+q+siu5pHROwH3Er5mfYAXgycGBGXR8TaE4zdiYhzgFuAw4AXUpZ/PRe4IyL+sZ5C02u8V0TEJZQVW74AbA1sDHwI+F1E/Cgi9qr7bgPcCOwEvAH4SUScPJGfR5I0PXkFhSRJ6qpOGjyf8o3/oZQPqE9RpnQck5l39/FwOwBrAJ9tbT+D+WtP7BURB2VmeyWRKS0ijgUOB/4M7JWZZzWe2wc4PyJeP87YW1PqgKwCfCAzT2o8twtwDvB5yu/y/T3E+xRwBBDAccBRmfl04/m3AP8JfDcizq3jvjUz50TEKpSkxnsj4ruZecF4fiZJ0vRkgkKSJAFcGxHPNtpLACtQPqTeCZwJfAI4LzMfmYTj70eZ8nBGa/t5wOPA8nV7DWBb4OJJGMOkiIiDKMkJgH9uJicAMvPMOhn0pXHE3gq4AFgJOLWZnKhj/7C+muEQ4KCIuCUzTxgh3uHAx+rmdzLz8HafzPx2RKwFnAi8Ebi9Tk4EcBnzpuRsUY9NkqSeOMVDkiRBmQ6wZeO2OfAy4CPAysDrgFUpyYK+qqeP7EWpbTDfkqWZ+QRlmkLTIrOaR10T4nN1cy5lusQCMvPblOTL1mOIvRRl2s1KwLPA0cN0/Urj8dERsdow8TaiJKGGHDvC4U+mFEgFWC8iZlP+n2zW6HPjCPtLkrQAExSSJAngjsy8rXW7JjM/S6kr8ELgy8BldUHEfnodsBrzVu9oa6/msXdELCrvYY4EnlM/vigzHxyh75cafXvxfkodC4DL2oUrh2Tmbyi1LwBWBA4eJt7bmXd17QOZec1wB87MuZSrJYa8OzMfBt5HuWriyMw8r6efQpKk2qLy4i5JkgakXmXim3XzFcD362/v+2U/yoog3xnm+fOBRxvtoZUlprSIWBHYv7Hp/0bZ5UKgp9oa9ZSQwxqbLhpll+aqGnsO0+cljce3DtOn6ZbG45cBZOa/ZubrMvPTPewvSdJ8TFBIkqRenNp4/FcM/y38mETEspQVLeZk5v3d+mTmk5RCj02LwmoeOzKvHgPAr0fqnJkPAbf3GPtVlKU/h1w3Sv9mMmHziFi1S5/mWJ/sYQzNPiv00F+SpBGZoJAkSb24klJDYcghfZpmsRtl2sFw0zuGdJvm0fOymQPy8lb7jq695veHHmNv12r/bpT+9zQeLwFsMsqxV+lhDM0+9/XQX5KkEZmgkCRJo6prDjQv+9+AUkxzomZTvok/a5R+PwD+2GivTbmKYCrbqNV+uId9/tRj7HaC4bExxn1ulz5XNB6/ICJmjBKzWRDz0lH6SpI0KpcZlSRJvXqg1X4t8PPxBouI5SlXUCwD/L6HCyKWb7X3Zf4P1VPNyq12L9MmejWz1b66tUxs2zKtdrdaF6cDx9SxZwC7M0xdkIhoJogSOKlbP0mSxsIEhSRJ6lV7idHNuvbq3R6UugdvYvQaCgAdYE6jvU9EHJqZOcFxTJaFOQVld0af5jHksW71PjLz4Yh4K3A2ZTWRYyPigsx8pNmvnlrzRWDJetOHM/Mn4x+6JEmFCQpJktSrp1rtF00w3mzgLuDcHpMMt0VERUlUAKwLbANcNcFxTJb2lI5l+xj7oVb7gcy8baJBM/OCiNgZ+BbwAsqysocCl2bmMxExC/gksBdl2sjHMvPEiR5XkiSwBoUkSepdO0GxYbtDROwZEc8ZLVBErAzsApw1xisg/qfVnsqreVStdi+FJ5cbvQswf9FLgNV63G9UmXklsCnwQ2BzyvKnT0XEU8AvgY2BzwCbmpyQJPWTCQpJktSrB1vt1SNipaFGRCxDSSCMVlwRYO+632jFMdvaCYp9xrj/wvTjVnvdHvbpVryym/aUiuf3uB8RcWA9laPbc8tFxGcoU24eB94L7AS8FFgfWCYzZ2XmEZnZ65QSSZJ6YoJCkiT16q4u217QeLwq8DTwSJd+bbMpUwTGuvrDVcx/9cDzIqK9nOdUcSHwRKM94pSYiFgFWK/H2JcCzaKYLxnDuN42zPHXolwhsT6wRWbuk5n/lpkXZua1mXlPZo5UiFOSpAkxQSFJknr12y7btmg8fiFw72hTNiJiDWBH4Jp6+dKe1bHPbm3edywxFpbM/COllsOQbUbZZUfmFZ4cLfadwPcam17by34RsR6wNSV50vZZysojB7QLY0qStDCYoJAkSb36aZdtb2w97qVg5T9QCnU/Ns5xLBIJitqnmLe86A4RMVKtiANZcBrNSD4B/Ll+vFlEvLSHfT4GnJOZ93Z5blfg9sxs1xqRJGmhMEEhSdL01F4Cc9QlMTPzJuA3rc17RMRxEXE48AFGmbIREVvW/QA2j4ierhho+VWrvUFE7DmOOJMuM28BPlI3lwEO7dYvIvYFrqe35VaHYl8DfLSx6fP1EqBdRcT+wH6N8bQtQfmdvCci1ogI3ydKkhYqX3gkSVrMRcTSETGzcdsOWLvVbfeIeG6r39Jdwn2h1V6C8oH3WOAZ4MzWsZerY20UEe8F5jBvpYq1gJPq54aOucAqFo0YMyNibcqVBm2nRMReEbF2o++UeJ+TmV8Ejq+bH24nU+r2ocCRrV23rBMFMyNixWFinwB8CEhgB+Br7b4RsVJd+PIU4O2ZefMwQ/0+5cqWrwL3As9ERI5wezwifh0RX+3x6g1JkkYUY1vZS5IkLWoiYnvg4nHsukNmXtKKFcBXgPe1+s6l1C44vdX/aOCfxnDMYzLz6AnGGPL8zLxtHPvNp/Xv97vM3GCccd4OfA5YE7iCUtNjFqWQ5j6ZeX9EXAJs12X3szNz2KtEImIr4DhKLYrH6vHeS0kCbU+56uTgzPzZCDFWB86g1MIYqwROAj44lmVjWz/vAZl52jiOLUlaTJigkCRJYxYRG1M++K5G+SB8fmbeM+JOi6h+JSjqWDMoCYBZlA/1P87Myyc6xkb8NYBtKVfILA/8AfhRZt4whhg7AYcBu7SemksZc9NSzF/Y8zOZecQYjnUJJigkSTUTFJIkSSPoZ4Jiqqun/3yOkuD4HnAucBNwX2Y+Osw+6wDvAY6iTPNZNzPv6/F4l2CCQpJUmxJzMyVJkjRYEXEwcBFwNbBRZh6YmednZjVccgLKkqf1tJx/B5YGdlooA5YkLXZMUEiSJE1zEbERcAJlJZEDM/PJUXbp5hv1/Xp9G5gkaVoxQSFJkqTdKPUkLhhLkcuWB+v7x/ozJEnSdGOCQpIkSUOeM4F9t6jvfz6GfXwvKkn6C18UJEmSerdmRCw76EFMgkvr+zdHxMyx7hwRywEfpqxKclWP+6wAbD7WY0mSFl8mKCRJkno3A5gTEf8UEftExMYRseSoe01xmfkL4HhgJnB5RLym130jYjNgDrAyMHuEfi+PiL+LiC9GxIXA7+t9JEkCylxDSZIk9e5V9W3IIxGxWmY+O6gB9UNmHhYRvwCOAS6LiJuBc4DLgLuBe4G5wErABsBWwK71/deA3TLzoREOcRqwyWSNX5K06Ivx10GSJEnS4iYiAngFsDOwNdAB1gSWB5JSBPNO4AbgEuCszLx7IIOVJC1WTFBIkiRJkqSBswaFJEmSJEkaOBMUkiRJkiRp4ExQSJIkSZKkgTNBIUmSJEmSBs4EhSRJkiRJGjgTFJIkSZIkaeBMUEiSJEmSpIEzQSFJkiRJkgbOBIUkSZIkSRo4ExSSJEmSJGngTFBIkiRJkqSBM0EhSZIkSZIGzgSFJEmSJEkauP8HskbnddoNvAIAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "image/png": { - "height": 361, - "width": 502 + "height": 386, + "width": 532 }, "needs_background": "light" }, @@ -141,16 +305,165 @@ "ax.scatter(open_cluster_c.ra.degree,\n", " open_cluster_c.dec.degree)\n", "\n", - "# ax.set_xlim(360, 0)" + "ax.set_xlim(360, 0)\n", + "ax.set_ylim(-90, 90)\n", + "\n", + "ax.set_xlabel('RA [deg]')\n", + "ax.set_ylabel('Dec [deg]')" ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:42:23.236114Z", + "start_time": "2020-09-30T14:42:23.232139Z" + } + }, + "outputs": [], + "source": [ + "open_cluster_gal = open_cluster_c.transform_to(Galactic())" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:42:24.367316Z", + "start_time": "2020-09-30T14:42:24.361878Z" + } + }, + "outputs": [], + "source": [ + "open_cluster_gal = open_cluster_c.transform_to('galactic')" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:42:24.496914Z", + "start_time": "2020-09-30T14:42:24.493153Z" + } + }, + "outputs": [], "source": [ - "To understand the code in this section, it may help to read over the [overview of the astropy coordinates scheme](http://astropy.readthedocs.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts). The key concept to understand is that all coordinates in astropy are in particular reference \"frames\", and we can transform between a specific `SkyCoord` object in one frame to another. For example, we can transform our previously-defined center of NGC 188 from ICRS to another coordinate frame, like Galactic coordinates. In `astropy.coordinates`, this is typically done using the `.transform_to()` method:" + "open_cluster_gal = open_cluster_c.galactic" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:45:24.174275Z", + "start_time": "2020-09-30T14:45:24.169442Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "open_cluster_gal[:4]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:41:51.398456Z", + "start_time": "2020-09-30T14:41:51.393770Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "[$155^\\circ43{}^\\prime24.7137{}^{\\prime\\prime}$\n", + " $68^\\circ01{}^\\prime41.0857{}^{\\prime\\prime}$\n", + " $62^\\circ49{}^\\prime28.039{}^{\\prime\\prime}$]" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "open_cluster_gal.l[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:41:52.367661Z", + "start_time": "2020-09-30T14:41:52.362640Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "[$-17^\\circ46{}^\\prime11.9717{}^{\\prime\\prime}$\n", + " $11^\\circ36{}^\\prime28.4424{}^{\\prime\\prime}$\n", + " $2^\\circ03{}^\\prime45.9219{}^{\\prime\\prime}$]" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "open_cluster_gal.b[:3]" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -219,16 +532,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, "metadata": { + "ExecuteTime": { + "end_time": "2020-09-30T14:42:50.994118Z", + "start_time": "2020-09-30T14:42:50.984708Z" + }, "tags": [ "raises-exception" ] }, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'SkyCoord' object has no attribute 'ra'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# THIS WILL THROW AN ERROR:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mopen_cluster_gal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mra\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/projects/astropy-all/astropy/astropy/coordinates/sky_coordinate.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m 787\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 788\u001b[0m \u001b[0;31m# Fail\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 789\u001b[0;31m raise AttributeError(\"'{}' object has no attribute '{}'\"\n\u001b[0m\u001b[1;32m 790\u001b[0m .format(self.__class__.__name__, attr))\n\u001b[1;32m 791\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'SkyCoord' object has no attribute 'ra'" + ] + } + ], "source": [ - "# THIS SHOULD ERROR:\n", - "ngc188_gal.ra" + "# THIS WILL THROW AN ERROR:\n", + "open_cluster_gal.ra" ] }, { From 3bc6fe36fa520673216c91a761022a267b631917 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 7 Oct 2020 11:14:52 -0400 Subject: [PATCH 24/43] aitoff plots --- .../2-Coordinates-Transforms.ipynb | 411 ++++++++++++++---- 1 file changed, 336 insertions(+), 75 deletions(-) diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index 1971707e9..c9dc74fbd 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Astronomical Coordinates 2: Transforming Between Coordinate Systems and Planning Observations\n", + "# Astronomical Coordinates 2: Transforming Coordinate Systems and Representations, and Planning Observations\n", "\n", "## Authors\n", "Adrian Price-Whelan\n", @@ -38,15 +38,16 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T15:04:47.123743Z", - "start_time": "2020-09-30T15:04:47.118526Z" + "end_time": "2020-10-07T14:06:37.936327Z", + "start_time": "2020-10-07T14:06:36.395340Z" } }, "outputs": [], "source": [ + "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import numpy as np\n", @@ -65,7 +66,7 @@ "source": [ "## Key `astropy.coordinates` Concepts: Component Formats, Representations, and Frames\n", "\n", - "The term \"coordinates\" is very over-loaded and is often used interchangeably in astronomy when referring to formatting data (e.g., sexagesimal vs. decimal), representations (e.g., Cartesian vs. spherical), and frames (e.g., equatorial vs. galactic). In `astropy.coordinates` (the code) and in the documentation, we have tried to formalize these three concepts and have made them a core part of the way we interact with objects in this subpackage ([docs](https://docs.astropy.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts)). Here we will give an overview of these different concepts as we build up to demonstrating how to transform between different reference frames.\n", + "The term \"coordinates\" is overloaded and is often used interchangeably in astronomy when referring to formatting data (e.g., sexagesimal vs. decimal), representations (e.g., Cartesian vs. spherical), and frames (e.g., equatorial vs. galactic). In `astropy.coordinates` (the code) and in the documentation, we have tried to formalize these three concepts and have made them a core part of the way we interact with objects in this subpackage ([docs](https://docs.astropy.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts)). Here we will give an overview of these different concepts as we build up to demonstrating how to transform between different reference frames.\n", "\n", "\n", "## Coordinate Component Formats\n", @@ -75,11 +76,11 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T15:05:44.749397Z", - "start_time": "2020-09-30T15:05:44.743973Z" + "end_time": "2020-10-07T14:06:37.943820Z", + "start_time": "2020-10-07T14:06:37.938108Z" } }, "outputs": [ @@ -108,16 +109,16 @@ "\n", "## Coordinate Representations\n", "\n", - "So far, we have only worked with coordinate data in (astronomical or longitude/latitude) spherical representations, but `astropy.coordinates` also supports other representations, like Cartesian, cylindrical, etc. ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html#astropy-skycoord-representations)). To retrieve the coordinate data in a different representation, we can use the `.represent_as()` method:" + "So far, in the previous tutorial, we have only worked with coordinate data in (longitude/latitude) spherical representations, but `astropy.coordinates` also supports other representations, like Cartesian, cylindrical, etc. ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html#astropy-skycoord-representations)). To retrieve the coordinate data in a different representation, we can use the `.represent_as()` method. This method either takes a string name of the desired representation, for example:" ] }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T15:06:49.857276Z", - "start_time": "2020-09-30T15:06:49.853884Z" + "end_time": "2020-10-07T14:52:24.403957Z", + "start_time": "2020-10-07T14:52:24.400249Z" } }, "outputs": [ @@ -128,7 +129,40 @@ " (0.94512547, 0.27088898, -0.18263903)>" ] }, - "execution_count": 63, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c.represent_as('cartesian')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or it accepts an `astropy.coordinates` `Representation` class, such as:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T14:53:28.313333Z", + "start_time": "2020-10-07T14:53:28.309280Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -141,16 +175,61 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this case, we defined this `SkyCoord` without distance data, so the units of the Cartesian components are dimensionless (i.e., on the unit sphere). If we pass in a distance, ...TODO" + "A list of all supported representations is given in the documentation ([docs](https://docs.astropy.org/en/stable/coordinates/representations.html#astropy-coordinates-representations)), or can be identified as class names that end in `Representaton`:" ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T15:08:08.684317Z", - "start_time": "2020-09-30T15:08:08.677364Z" + "end_time": "2020-10-07T14:54:03.115122Z", + "start_time": "2020-10-07T14:54:03.111372Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['BaseRepresentation', 'CartesianRepresentation', 'CylindricalRepresentation', 'PhysicsSphericalRepresentation', 'RadialRepresentation', 'SphericalRepresentation', 'UnitSphericalRepresentation']\n" + ] + } + ], + "source": [ + "print([x for x in dir(coord) if x.endswith('Representation')])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the `SkyCoord` we defined above, we only specified sky positions (i.e., without distance data), so the units of the Cartesian components that are returned above are dimensionless (i.e., on the unit sphere). If we pass in a distance to `SkyCoord` using the `distance` keyword argument, we would instead get a representation object for the 3D position:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T14:56:19.755652Z", + "start_time": "2020-10-07T14:56:19.752291Z" + } + }, + "outputs": [], + "source": [ + "c2 = SkyCoord(ra=15.9932 * u.deg, \n", + " dec=-10.52351344 * u.deg,\n", + " distance=127.4 * u.pc)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T14:56:20.149733Z", + "start_time": "2020-10-07T14:56:20.145648Z" } }, "outputs": [ @@ -161,38 +240,163 @@ " (120.40898448, 34.5112558, -23.2682118)>" ] }, - "execution_count": 64, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "c2 = SkyCoord(ra=15.9932 * u.deg, \n", - " dec=-10.52351344 * u.deg,\n", - " distance=127.4 * u.pc)\n", - "c2.represent_as(coord.CartesianRepresentation)" + "c2.represent_as('cartesian')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T14:56:20.694736Z", + "start_time": "2020-10-07T14:56:20.690318Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c2.represent_as('cylindrical')" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "To summarize, using `SkyCoord.represent_as()` is a convenient way to retrieve your coordinate data in a different representation. You can also change (in place) the representation of a `SkyCoord` object by setting the `.representation_type` attribute. For example, if we create a `SkyCoord` again with a distance, the default representation type is spherical:" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T14:59:30.366559Z", + "start_time": "2020-10-07T14:59:30.360420Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c3 = SkyCoord(ra=15.9932 * u.deg, \n", + " dec=-10.52351344 * u.deg,\n", + " distance=127.4 * u.pc)\n", + "print(c3.representation_type)\n", + "c3" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "We can, however, change the internal representation of the data by setting the `.representation_type` attribute to a new `Representation` class:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T15:00:00.573874Z", + "start_time": "2020-10-07T15:00:00.571444Z" + } + }, "outputs": [], - "source": [] + "source": [ + "c3.representation_type = coord.CylindricalRepresentation" + ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T15:00:01.185833Z", + "start_time": "2020-10-07T15:00:01.181258Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c3" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "Note, however, that changing the representation will also change the components that are available on a given `SkyCoord` object. That is, once we change to a cylindrical representation, the attributes `.ra` and `.dec` will no longer work, and we instead have to use the cylindrical component names to access the data (i.e., `.rho` for radius, `.phi` for azimuth, `.z` for $z$ position):" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T15:01:29.806210Z", + "start_time": "2020-10-07T15:01:29.801993Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(, , )" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c3.rho, c3.phi, c3.z" + ] }, { "cell_type": "markdown", @@ -205,11 +409,11 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-09-29T01:21:11.746224Z", - "start_time": "2020-09-29T01:21:11.690380Z" + "end_time": "2020-10-07T14:06:41.412921Z", + "start_time": "2020-10-07T14:06:41.392170Z" } }, "outputs": [], @@ -219,11 +423,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-09-29T01:36:59.972296Z", - "start_time": "2020-09-29T01:36:59.966760Z" + "end_time": "2020-10-07T14:06:41.674768Z", + "start_time": "2020-10-07T14:06:41.671151Z" } }, "outputs": [], @@ -237,11 +441,11 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:45:17.766590Z", - "start_time": "2020-09-30T14:45:17.760600Z" + "end_time": "2020-10-07T14:06:41.867662Z", + "start_time": "2020-10-07T14:06:41.863037Z" } }, "outputs": [ @@ -253,7 +457,7 @@ " (295.548, 27.366, 522.9), (298.306, 39.349, 1034.6)]>" ] }, - "execution_count": 47, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -264,11 +468,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:35:43.108789Z", - "start_time": "2020-09-30T14:35:42.908329Z" + "end_time": "2020-10-07T14:12:47.450808Z", + "start_time": "2020-10-07T14:12:46.986902Z" } }, "outputs": [ @@ -278,21 +482,21 @@ "Text(0, 0.5, 'Dec [deg]')" ] }, - "execution_count": 16, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "image/png": { - "height": 386, - "width": 532 + "height": 278, + "width": 520 }, "needs_background": "light" }, @@ -300,13 +504,20 @@ } ], "source": [ - "fig, ax = plt.subplots(figsize=(8, 6))\n", + "fig, ax = plt.subplots(figsize=(8, 6), \n", + " subplot_kw=dict(projection=\"aitoff\"))\n", + "\n", + "ax.scatter(-open_cluster_c.ra.wrap_at(180*u.deg).radian,\n", + " open_cluster_c.dec.radian)\n", "\n", - "ax.scatter(open_cluster_c.ra.degree,\n", - " open_cluster_c.dec.degree)\n", + "def fmt_func(x, pos):\n", + " val = coord.Angle(-x*u.radian).wrap_at(360*u.deg).degree\n", + " return f'${val:.0f}' + r'^{\\circ}$'\n", "\n", - "ax.set_xlim(360, 0)\n", - "ax.set_ylim(-90, 90)\n", + "ticker = mpl.ticker.FuncFormatter(fmt_func)\n", + "ax.xaxis.set_major_formatter(ticker)\n", + "\n", + "ax.grid()\n", "\n", "ax.set_xlabel('RA [deg]')\n", "ax.set_ylabel('Dec [deg]')" @@ -314,11 +525,11 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:42:23.236114Z", - "start_time": "2020-09-30T14:42:23.232139Z" + "end_time": "2020-10-07T15:02:24.902319Z", + "start_time": "2020-10-07T15:02:24.896486Z" } }, "outputs": [], @@ -328,11 +539,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:42:24.367316Z", - "start_time": "2020-09-30T14:42:24.361878Z" + "end_time": "2020-10-07T15:02:25.050235Z", + "start_time": "2020-10-07T15:02:25.046579Z" } }, "outputs": [], @@ -342,11 +553,11 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 47, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:42:24.496914Z", - "start_time": "2020-09-30T14:42:24.493153Z" + "end_time": "2020-10-07T15:02:25.210614Z", + "start_time": "2020-10-07T15:02:25.206501Z" } }, "outputs": [], @@ -359,8 +570,8 @@ "execution_count": 48, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:45:24.174275Z", - "start_time": "2020-09-30T14:45:24.169442Z" + "end_time": "2020-10-07T15:02:25.377075Z", + "start_time": "2020-10-07T15:02:25.371372Z" } }, "outputs": [ @@ -385,11 +596,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 49, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:41:51.398456Z", - "start_time": "2020-09-30T14:41:51.393770Z" + "end_time": "2020-10-07T15:02:25.805728Z", + "start_time": "2020-10-07T15:02:25.800377Z" } }, "outputs": [ @@ -404,7 +615,7 @@ "" ] }, - "execution_count": 38, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -415,11 +626,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 50, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:41:52.367661Z", - "start_time": "2020-09-30T14:41:52.362640Z" + "end_time": "2020-10-07T15:02:26.045286Z", + "start_time": "2020-10-07T15:02:26.040761Z" } }, "outputs": [ @@ -434,7 +645,7 @@ "" ] }, - "execution_count": 39, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -445,10 +656,60 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2020-10-07T15:02:26.855826Z", + "start_time": "2020-10-07T15:02:26.433248Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Galactic latitude, $b$ [deg]')" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 280, + "width": 522 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(8, 6), \n", + " subplot_kw=dict(projection=\"aitoff\"))\n", + "\n", + "ax.scatter(-open_cluster_gal.l.wrap_at(180*u.deg).radian,\n", + " open_cluster_gal.b.radian)\n", + "\n", + "def fmt_func(x, pos):\n", + " val = coord.Angle(-x*u.radian).wrap_at(360*u.deg).degree\n", + " return f'${val:.0f}' + r'^{\\circ}$'\n", + "\n", + "ticker = mpl.ticker.FuncFormatter(fmt_func)\n", + "ax.xaxis.set_major_formatter(ticker)\n", + "\n", + "ax.grid()\n", + "\n", + "ax.set_xlabel('Galactic longitude, $l$ [deg]')\n", + "ax.set_ylabel('Galactic latitude, $b$ [deg]')" + ] }, { "cell_type": "code", From f2b00d95f500984e357376aff94b7e5b1be0c032 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Thu, 5 Nov 2020 10:55:37 -0500 Subject: [PATCH 25/43] more words --- .../2-Coordinates-Transforms.ipynb | 393 +++++++++++------- ....ecsv => Cantat-Gaudin-open-clusters.ecsv} | 0 2 files changed, 245 insertions(+), 148 deletions(-) rename tutorials/notebooks/astropy-coordinates/{gaia-open-clusters.ecsv => Cantat-Gaudin-open-clusters.ecsv} (100%) diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index c9dc74fbd..5c4b3284b 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -18,7 +18,7 @@ "\n", "## Summary\n", "\n", - "In the previous tutorial in this series, we showed how astronomical coordinates in the ICRS or equatorial coordinate system can be represented in Python using the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). There are many other coordinate systems that are commonly used in astronomical research. For example, the Galactic coordinate system is often used in radio astronomy and Galactic science, the \"horizontal\" or altitude-azimuth frame is often used for observatory-specific observation planning, and Ecliptic coordinates are often used for solar system science or space mission footprints. All of these coordinate frames (and others!) are supported by `astropy.coordinates`, and as we will see below, the `SkyCoord` object is designed to make transforming between these systems as straightforward as possible.\n", + "In the previous tutorial in this series, we showed how astronomical coordinates in the ICRS or equatorial coordinate system can be represented in Python using the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). There are many other coordinate systems that are commonly used in astronomical research. For example, the Galactic coordinate system is often used in radio astronomy and Galactic science, the \"horizontal\" or altitude-azimuth frame is often used for observatory-specific observation planning, and Ecliptic coordinates are often used for solar system science or space mission footprints. All of these coordinate frames (and others!) are supported by `astropy.coordinates`. As we will see below, the `SkyCoord` object is designed to make transforming between these systems a straightforward task.\n", "\n", "In this tutorial, we will explore how the `astropy.coordinates` package can be used to transform astronomical coordinates between different coordinate systems or frames. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", "\n", @@ -33,16 +33,16 @@ "source": [ "## Imports\n", "\n", - "We start by importing some general packages we will need below:" + "We start by importing some general packages that we will need below:" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:06:37.936327Z", - "start_time": "2020-10-07T14:06:36.395340Z" + "end_time": "2020-11-04T18:56:10.546253Z", + "start_time": "2020-11-04T18:56:08.845402Z" } }, "outputs": [], @@ -66,21 +66,21 @@ "source": [ "## Key `astropy.coordinates` Concepts: Component Formats, Representations, and Frames\n", "\n", - "The term \"coordinates\" is overloaded and is often used interchangeably in astronomy when referring to formatting data (e.g., sexagesimal vs. decimal), representations (e.g., Cartesian vs. spherical), and frames (e.g., equatorial vs. galactic). In `astropy.coordinates` (the code) and in the documentation, we have tried to formalize these three concepts and have made them a core part of the way we interact with objects in this subpackage ([docs](https://docs.astropy.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts)). Here we will give an overview of these different concepts as we build up to demonstrating how to transform between different reference frames.\n", + "Usage of the term \"coordinates\" is overloaded in astronomy and is often used interchangeably when referring to data formats (e.g., sexagesimal vs. decimal), representations (e.g., Cartesian vs. spherical), and frames (e.g., equatorial vs. galactic). In `astropy.coordinates`, we have tried to formalize these three concepts and have made them a core part of the way we interact with objects in this subpackage ([docs](https://docs.astropy.org/en/stable/coordinates/index.html#overview-of-astropy-coordinates-concepts)). Here we will give an overview of these different concepts as we build up to demonstrating how to transform between different astronomical reference frames or systems.\n", "\n", "\n", "## Coordinate Component Formats\n", "\n", - "In our previous tutorial, we showed that it is possible to pass in coordinate component data to the `SkyCoord` initializer as strings or `Quantity` objects in a variety of formats and units. We also saw that the coordinate components of `SkyCoord` objects can be re-formatted. For example, we can change the coordinate *format* by changing the component units, or converting the data to a string:" + "In our previous tutorial, we showed that it is possible to pass in coordinate component data to the `SkyCoord` initializer as strings or as `Quantity` objects in a variety of formats and units. We also saw that the coordinate components of `SkyCoord` objects can be re-formatted. For example, we can change the coordinate *format* by changing the component units, or converting the data to a string:" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:06:37.943820Z", - "start_time": "2020-10-07T14:06:37.938108Z" + "end_time": "2020-11-04T18:56:10.733528Z", + "start_time": "2020-11-04T18:56:10.727791Z" } }, "outputs": [ @@ -105,11 +105,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "See the previous tutorial [Astronomical Coordinates 1 - Getting Started](1-Coordinates-Intro) for more examples of this\n", + "See the previous tutorial [Astronomical Coordinates 1 - Getting Started](1-Coordinates-Intro) for more examples of this.\n", "\n", "## Coordinate Representations\n", "\n", - "So far, in the previous tutorial, we have only worked with coordinate data in (longitude/latitude) spherical representations, but `astropy.coordinates` also supports other representations, like Cartesian, cylindrical, etc. ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html#astropy-skycoord-representations)). To retrieve the coordinate data in a different representation, we can use the `.represent_as()` method. This method either takes a string name of the desired representation, for example:" + "In the previous tutorial, we only worked with coordinate data in spherical representations (longitude/latitude), but `astropy.coordinates` also supports other coordinate representations like Cartesian, cylindrical, etc. ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html#astropy-skycoord-representations)). To retrieve the coordinate data in a different representation, we can use the `SkyCoord.represent_as()` method. This method either takes a string name of the desired representation, for example:" ] }, { @@ -142,16 +142,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Or it accepts an `astropy.coordinates` `Representation` class, such as:" + "or it accepts an `astropy.coordinates` `Representation` class, such as:" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:53:28.313333Z", - "start_time": "2020-10-07T14:53:28.309280Z" + "end_time": "2020-11-04T18:57:06.211774Z", + "start_time": "2020-11-04T18:57:06.205723Z" } }, "outputs": [ @@ -162,7 +162,7 @@ " (0.94512547, 0.27088898, -0.18263903)>" ] }, - "execution_count": 27, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -180,11 +180,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:54:03.115122Z", - "start_time": "2020-10-07T14:54:03.111372Z" + "end_time": "2020-11-04T18:57:35.999683Z", + "start_time": "2020-11-04T18:57:35.995940Z" } }, "outputs": [ @@ -192,28 +192,29 @@ "name": "stdout", "output_type": "stream", "text": [ - "['BaseRepresentation', 'CartesianRepresentation', 'CylindricalRepresentation', 'PhysicsSphericalRepresentation', 'RadialRepresentation', 'SphericalRepresentation', 'UnitSphericalRepresentation']\n" + "['CartesianRepresentation', 'CylindricalRepresentation', 'PhysicsSphericalRepresentation', 'RadialRepresentation', 'SphericalRepresentation', 'UnitSphericalRepresentation']\n" ] } ], "source": [ - "print([x for x in dir(coord) if x.endswith('Representation')])" + "print([x for x in dir(coord) \n", + " if x.endswith('Representation') and not x.startswith('Base')])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the `SkyCoord` we defined above, we only specified sky positions (i.e., without distance data), so the units of the Cartesian components that are returned above are dimensionless (i.e., on the unit sphere). If we pass in a distance to `SkyCoord` using the `distance` keyword argument, we would instead get a representation object for the 3D position:" + "In the `SkyCoord` object that we defined above, we only specified sky positions (i.e., no distance data), so the units of the Cartesian components that are returned above are dimensionless and are interpreted as being on the surface of the (dimensionless) unit sphere. If we instead pass in a distance to `SkyCoord` using the `distance` keyword argument, we instead get a `CartesianRepresentation` object for the 3D position with positional units. For example:" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:56:19.755652Z", - "start_time": "2020-10-07T14:56:19.752291Z" + "end_time": "2020-11-04T18:58:39.921270Z", + "start_time": "2020-11-04T18:58:39.917764Z" } }, "outputs": [], @@ -225,11 +226,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:56:20.149733Z", - "start_time": "2020-10-07T14:56:20.145648Z" + "end_time": "2020-11-04T18:58:40.417427Z", + "start_time": "2020-11-04T18:58:40.413067Z" } }, "outputs": [ @@ -240,7 +241,7 @@ " (120.40898448, 34.5112558, -23.2682118)>" ] }, - "execution_count": 33, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -249,13 +250,20 @@ "c2.represent_as('cartesian')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or, we could represent this data with cylindrical components:" + ] + }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:56:20.694736Z", - "start_time": "2020-10-07T14:56:20.690318Z" + "end_time": "2020-11-04T18:59:14.791521Z", + "start_time": "2020-11-04T18:59:14.786208Z" } }, "outputs": [ @@ -266,7 +274,7 @@ " (125.2571368, 0.279134, -23.2682118)>" ] }, - "execution_count": 34, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -279,16 +287,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To summarize, using `SkyCoord.represent_as()` is a convenient way to retrieve your coordinate data in a different representation. You can also change (in place) the representation of a `SkyCoord` object by setting the `.representation_type` attribute. For example, if we create a `SkyCoord` again with a distance, the default representation type is spherical:" + "To summarize, using `SkyCoord.represent_as()` is a convenient way to retrieve your coordinate data in a different representation, like Cartesian or Cylindrical. You can also change (in place) the representation of a `SkyCoord` object by setting the `SkyCoord.representation_type` attribute. For example, if we create a `SkyCoord` again with a distance, the default representation type is spherical:" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:59:30.366559Z", - "start_time": "2020-10-07T14:59:30.360420Z" + "end_time": "2020-11-04T18:59:47.007016Z", + "start_time": "2020-11-04T18:59:46.996587Z" } }, "outputs": [ @@ -306,7 +314,7 @@ " (15.9932, -10.52351344, 127.4)>" ] }, - "execution_count": 39, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -323,16 +331,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can, however, change the internal representation of the data by setting the `.representation_type` attribute to a new `Representation` class:" + "We can, however, change the internal representation of the data by setting the `representation_type` attribute to a new `Representation` class:" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:00:00.573874Z", - "start_time": "2020-10-07T15:00:00.571444Z" + "end_time": "2020-11-04T18:59:57.084716Z", + "start_time": "2020-11-04T18:59:57.082211Z" } }, "outputs": [], @@ -340,13 +348,20 @@ "c3.representation_type = coord.CylindricalRepresentation" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This then changes the way `SkyCoord` will display the components:" + ] + }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:00:01.185833Z", - "start_time": "2020-10-07T15:00:01.181258Z" + "end_time": "2020-11-04T19:00:31.292480Z", + "start_time": "2020-11-04T19:00:31.287511Z" } }, "outputs": [ @@ -357,7 +372,7 @@ " (125.2571368, 15.9932, -23.2682118)>" ] }, - "execution_count": 41, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -370,16 +385,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note, however, that changing the representation will also change the components that are available on a given `SkyCoord` object. That is, once we change to a cylindrical representation, the attributes `.ra` and `.dec` will no longer work, and we instead have to use the cylindrical component names to access the data (i.e., `.rho` for radius, `.phi` for azimuth, `.z` for $z$ position):" + "Note, however, that changing the representation will also change the components that are available on a given `SkyCoord` object: Once we set the `representation_type` to cylindrical, the attributes `.ra` and `.dec` will no longer work, and we instead have to use the cylindrical component names to access the data. In this case, these are `.rho` for radius, `.phi` for azimuth, `.z` for $z$ position:" ] }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:01:29.806210Z", - "start_time": "2020-10-07T15:01:29.801993Z" + "end_time": "2020-11-04T19:01:14.814544Z", + "start_time": "2020-11-04T19:01:14.810931Z" } }, "outputs": [ @@ -389,7 +404,7 @@ "(, , )" ] }, - "execution_count": 43, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -404,48 +419,76 @@ "source": [ "## Transforming Between Coordinate Frames\n", "\n", - "todo" + "The third key concept to keep in mind when thinking about astronomical coordinate data is the reference frame or coordinate system that the data are in. In the previous tutorial, and so far here, we have worked with the default frame assumed by `SkyCoord`: the International Celestial Reference System (ICRS; [some important definitions and context about the ICRS is given here](https://arxiv.org/abs/astro-ph/0602086)). The ICRS is the fundamental coordinate system used in most modern astronomical contexts and is generally what people mean when they refer to \"equatorial\" or \"J2000\" or \"RA/Dec\" coordinates (but there are some important caveats if you are working with older data). As noted above, however, there are many other coordinate systems used in different astronomical, solar, or solar system contexts. \n", + "\n", + "Some other common coordinate systems are defined as a rotation away from the ICRS that is defined to make science applications easier to interpret. One example here is the Galactic coordinate system, which is rotated with respect to the ICRS to approximately align the Galactic plane with latitude=0. As an example of the `astropy.coordinates` frame transformation machinery, we will load in a subset of a catalog of positions and distances to a set of open clusters in the Milky Way from Cantat-Gaudin et al. 2018 ([Table 1 in this catalog](http://vizier.u-strasbg.fr/viz-bin/VizieR-3?-source=J/A%2bA/618/A93/table1)). We have pre-selected the 474 clusters within 2 kpc of the sun and provide the catalog as a data file next to this notebook. This catalog provides sky position (columns `RAJ2000` and `DEJ2000` in the original catalog) and distance estimates (column `dmode` in the original catalog), which we have renamed in the table we provide to column names `'ra'`, `'dec'`, and `'distance'`. We will start by loading the catalog as a `QTable` using `astropy.table` ([docs](https://docs.astropy.org/en/stable/table/)):" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:06:41.412921Z", - "start_time": "2020-10-07T14:06:41.392170Z" + "end_time": "2020-11-04T19:23:06.832260Z", + "start_time": "2020-11-04T19:23:06.811477Z" } }, "outputs": [], "source": [ - "tbl = QTable.read('gaia-open-clusters.ecsv')" + "tbl = QTable.read('Cantat-Gaudin-open-clusters.ecsv')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can now pass the coordinate components to `SkyCoord` to create a single array-valued `SkyCoord` object to represent the positions of all of the open clusters in this catalog. Note that below we will explicitly specify the coordinate frame using `frame='icrs'`: Even though this is the default frame, it is often better to be explicit so that it is clearer to someone reading the code what the coordinate system is:" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:06:41.674768Z", - "start_time": "2020-10-07T14:06:41.671151Z" + "end_time": "2020-11-04T19:23:07.335662Z", + "start_time": "2020-11-04T19:23:07.329798Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "474" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "open_cluster_c = SkyCoord(\n", " ra=tbl['ra'],\n", " dec=tbl['dec'],\n", " distance=tbl['distance'],\n", - " frame='icrs')" + " frame='icrs')\n", + "len(open_cluster_c)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To see the first few coordinate entries, we can \"slice\" the array-valued coordinate object like we would a Python list or numpy array:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:06:41.867662Z", - "start_time": "2020-10-07T14:06:41.863037Z" + "end_time": "2020-11-04T19:32:04.919203Z", + "start_time": "2020-11-04T19:32:04.914014Z" } }, "outputs": [ @@ -457,7 +500,7 @@ " (295.548, 27.366, 522.9), (298.306, 39.349, 1034.6)]>" ] }, - "execution_count": 7, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -466,13 +509,62 @@ "open_cluster_c[:4]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's now visualize the sky positions of all of these clusters, colored by their distances. To plot these in an all-sky spherical projection (e.g., aitoff) using `matplotlib`, with longitude increasing to the left as is typically done for plotting astronomical objects on the sky, we have to trick `matplotlib` a little bit: We have to pass in the *negative* angle values when plotting, then reformat the tick labels to make them positive values again. We have written a short function below to handle this trick:" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-04T20:28:47.216286Z", + "start_time": "2020-11-04T20:28:47.210807Z" + } + }, + "outputs": [], + "source": [ + "def coordinates_aitoff_plot(coords):\n", + " fig, ax = plt.subplots(figsize=(10, 4), \n", + " subplot_kw=dict(projection=\"aitoff\"))\n", + " \n", + " sph = coords.spherical\n", + " cs = ax.scatter(-sph.lon.wrap_at(180*u.deg).radian,\n", + " sph.lat.radian,\n", + " c=sph.distance.value)\n", + "\n", + " def fmt_func(x, pos):\n", + " val = coord.Angle(-x*u.radian).wrap_at(360*u.deg).degree\n", + " return f'${val:.0f}' + r'^{\\circ}$'\n", + "\n", + " ticker = mpl.ticker.FuncFormatter(fmt_func)\n", + " ax.xaxis.set_major_formatter(ticker)\n", + "\n", + " ax.grid()\n", + " \n", + " cb = fig.colorbar(cs)\n", + " cb.set_label('distance [pc]')\n", + " \n", + " return fig, ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we can plot the sky positions by passing our `SkyCoord` object in to this `coordinates_aitoff_plot()` plot helper function:" + ] + }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 61, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:12:47.450808Z", - "start_time": "2020-10-07T14:12:46.986902Z" + "end_time": "2020-11-04T20:49:55.771611Z", + "start_time": "2020-11-04T20:49:55.240651Z" } }, "outputs": [ @@ -482,21 +574,21 @@ "Text(0, 0.5, 'Dec [deg]')" ] }, - "execution_count": 24, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, "metadata": { "image/png": { - "height": 278, - "width": 520 + "height": 272, + "width": 617 }, "needs_background": "light" }, @@ -504,32 +596,27 @@ } ], "source": [ - "fig, ax = plt.subplots(figsize=(8, 6), \n", - " subplot_kw=dict(projection=\"aitoff\"))\n", - "\n", - "ax.scatter(-open_cluster_c.ra.wrap_at(180*u.deg).radian,\n", - " open_cluster_c.dec.radian)\n", - "\n", - "def fmt_func(x, pos):\n", - " val = coord.Angle(-x*u.radian).wrap_at(360*u.deg).degree\n", - " return f'${val:.0f}' + r'^{\\circ}$'\n", - "\n", - "ticker = mpl.ticker.FuncFormatter(fmt_func)\n", - "ax.xaxis.set_major_formatter(ticker)\n", - "\n", - "ax.grid()\n", - "\n", + "fig, ax = coordinates_aitoff_plot(open_cluster_c)\n", "ax.set_xlabel('RA [deg]')\n", "ax.set_ylabel('Dec [deg]')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The majority of these open clusters are relatively close to the Galactic midplane, which is why they form a fairly narrow \"band\" on the sky in ICRS coordinates. If we transform these positions to Galactic coordinates, we would therefore expect the points to appear around the latitude $b=0$ line. \n", + "\n", + "To transform our coordinates from ICRS to Galactic (or any other coordinate system), we can use the `SkyCoord.transform_to()` method and pass in the new coordinate frame instance (in this case, `Galactic()`):" + ] + }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 62, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:24.902319Z", - "start_time": "2020-10-07T15:02:24.896486Z" + "end_time": "2020-11-04T21:02:39.684573Z", + "start_time": "2020-11-04T21:02:39.680653Z" } }, "outputs": [], @@ -537,13 +624,20 @@ "open_cluster_gal = open_cluster_c.transform_to(Galactic())" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TODO While the recommended ... also accept ..." + ] + }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 47, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:25.050235Z", - "start_time": "2020-10-07T15:02:25.046579Z" + "end_time": "2020-11-04T20:04:26.948464Z", + "start_time": "2020-11-04T20:04:26.944247Z" } }, "outputs": [], @@ -553,11 +647,20 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "TODO also accept ..." + ] + }, + { + "cell_type": "code", + "execution_count": 48, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:25.210614Z", - "start_time": "2020-10-07T15:02:25.206501Z" + "end_time": "2020-11-04T20:04:27.096453Z", + "start_time": "2020-11-04T20:04:27.092442Z" } }, "outputs": [], @@ -567,11 +670,11 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 49, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:25.377075Z", - "start_time": "2020-10-07T15:02:25.371372Z" + "end_time": "2020-11-04T20:04:27.242952Z", + "start_time": "2020-11-04T20:04:27.238036Z" } }, "outputs": [ @@ -585,7 +688,7 @@ " ( 74.37841053, 6.07393592, 1034.59997559)]>" ] }, - "execution_count": 48, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" } @@ -596,11 +699,11 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 50, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:25.805728Z", - "start_time": "2020-10-07T15:02:25.800377Z" + "end_time": "2020-11-04T20:04:27.581572Z", + "start_time": "2020-11-04T20:04:27.576907Z" } }, "outputs": [ @@ -615,7 +718,7 @@ "" ] }, - "execution_count": 49, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -626,11 +729,11 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 51, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:26.045286Z", - "start_time": "2020-10-07T15:02:26.040761Z" + "end_time": "2020-11-04T20:04:27.982067Z", + "start_time": "2020-11-04T20:04:27.977967Z" } }, "outputs": [ @@ -645,7 +748,7 @@ "" ] }, - "execution_count": 50, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -656,11 +759,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 52, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T15:02:26.855826Z", - "start_time": "2020-10-07T15:02:26.433248Z" + "end_time": "2020-11-04T20:04:28.945961Z", + "start_time": "2020-11-04T20:04:28.476836Z" } }, "outputs": [ @@ -670,7 +773,7 @@ "Text(0, 0.5, 'Galactic latitude, $b$ [deg]')" ] }, - "execution_count": 51, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, @@ -692,21 +795,7 @@ } ], "source": [ - "fig, ax = plt.subplots(figsize=(8, 6), \n", - " subplot_kw=dict(projection=\"aitoff\"))\n", - "\n", - "ax.scatter(-open_cluster_gal.l.wrap_at(180*u.deg).radian,\n", - " open_cluster_gal.b.radian)\n", - "\n", - "def fmt_func(x, pos):\n", - " val = coord.Angle(-x*u.radian).wrap_at(360*u.deg).degree\n", - " return f'${val:.0f}' + r'^{\\circ}$'\n", - "\n", - "ticker = mpl.ticker.FuncFormatter(fmt_func)\n", - "ax.xaxis.set_major_formatter(ticker)\n", - "\n", - "ax.grid()\n", - "\n", + "fig, ax = coordinates_aitoff_plot(open_cluster_gal);\n", "ax.set_xlabel('Galactic longitude, $l$ [deg]')\n", "ax.set_ylabel('Galactic latitude, $b$ [deg]')" ] @@ -725,6 +814,27 @@ "outputs": [], "source": [] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -793,33 +903,20 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-09-30T14:42:50.994118Z", - "start_time": "2020-09-30T14:42:50.984708Z" + "end_time": "2020-11-04T18:46:47.382392Z", + "start_time": "2020-11-04T18:46:47.380566Z" }, "tags": [ "raises-exception" ] }, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'SkyCoord' object has no attribute 'ra'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# THIS WILL THROW AN ERROR:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mopen_cluster_gal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mra\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/projects/astropy-all/astropy/astropy/coordinates/sky_coordinate.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, attr)\u001b[0m\n\u001b[1;32m 787\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 788\u001b[0m \u001b[0;31m# Fail\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 789\u001b[0;31m raise AttributeError(\"'{}' object has no attribute '{}'\"\n\u001b[0m\u001b[1;32m 790\u001b[0m .format(self.__class__.__name__, attr))\n\u001b[1;32m 791\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'SkyCoord' object has no attribute 'ra'" - ] - } - ], + "outputs": [], "source": [ - "# THIS WILL THROW AN ERROR:\n", - "open_cluster_gal.ra" + "# This would throw an error:\n", + "# open_cluster_gal.ra" ] }, { diff --git a/tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv b/tutorials/notebooks/astropy-coordinates/Cantat-Gaudin-open-clusters.ecsv similarity index 100% rename from tutorials/notebooks/astropy-coordinates/gaia-open-clusters.ecsv rename to tutorials/notebooks/astropy-coordinates/Cantat-Gaudin-open-clusters.ecsv From 24a6b4fbc01d7ea892651cc1f74a22f047a793e1 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 11 Nov 2020 14:10:04 -0500 Subject: [PATCH 26/43] finished transforms tutorial --- .../1-Coordinates-Intro.ipynb | 5 +- .../2-Coordinates-Transforms.ipynb | 978 ++++++++++++------ .../3-Coordinates-Crossmatch.ipynb | 12 +- 3 files changed, 698 insertions(+), 297 deletions(-) diff --git a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb index 1a0a968e0..61303783b 100755 --- a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb +++ b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb @@ -24,7 +24,10 @@ "\n", "Astronomers use a wide variety of coordinate systems and formats to represent sky coordinates of celestial objects. For example, you may have seen terms like \"right ascension\" and \"declination\" or \"galactic latitude and longitude,\" and you may have seen angular coordinate components represented as \"0h39m15.9s,\" \"00:39:15.9,\" or 9.81625º. `astropy.coordinates` provides tools for representing the coordinates of objects and transforming them between different systems. \n", "\n", - "In this tutorial, we will explore how the `astropy.coordinates` package can be used to work with astronomical coordinates. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. " + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to work with astronomical coordinates. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", + "\n", + "*Note: This is the 1st tutorial in a series of tutorials about astropy.coordinates.*\n", + "- [Next tutorial: Astronomical Coordinates 2: Transforming Coordinate Systems and Representations](2-Coordinates-Transforms)" ] }, { diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index 5c4b3284b..45700e54f 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -4,13 +4,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Astronomical Coordinates 2: Transforming Coordinate Systems and Representations, and Planning Observations\n", + "# Astronomical Coordinates 2: Transforming Coordinate Systems and Representations\n", "\n", "## Authors\n", "Adrian Price-Whelan\n", "\n", "## Learning Goals\n", - "* TODO\n", + "* Introduce key concepts in `astropy.coordinates`: coordinate component formats, representations, and frames\n", + "* Demonstrate how to work with coordinate representations, for example, to change from Cartesian to Cylindrical coordinates\n", + "* Introduce coordinate frame transformations and demonstrate transforming from ICRS coordinates to Galactic and Altitude-Azimuth coordinates\n", "\n", "## Keywords\n", "coordinates\n", @@ -38,11 +40,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 43, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:56:10.546253Z", - "start_time": "2020-11-04T18:56:08.845402Z" + "end_time": "2020-11-11T17:17:52.610437Z", + "start_time": "2020-11-11T17:17:52.605508Z" } }, "outputs": [], @@ -53,10 +55,12 @@ "import numpy as np\n", "\n", "from astropy import units as u\n", - "from astropy.coordinates import SkyCoord, Distance, Galactic\n", + "from astropy.coordinates import (SkyCoord, Distance, Galactic, \n", + " EarthLocation, AltAz)\n", "import astropy.coordinates as coord\n", "from astropy.io import fits\n", "from astropy.table import QTable\n", + "from astropy.time import Time\n", "from astropy.utils.data import download_file" ] }, @@ -76,11 +80,11 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:56:10.733528Z", - "start_time": "2020-11-04T18:56:10.727791Z" + "end_time": "2020-11-11T15:18:19.433425Z", + "start_time": "2020-11-11T15:18:19.427040Z" } }, "outputs": [ @@ -114,11 +118,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-10-07T14:52:24.403957Z", - "start_time": "2020-10-07T14:52:24.400249Z" + "end_time": "2020-11-11T15:18:19.443390Z", + "start_time": "2020-11-11T15:18:19.436360Z" } }, "outputs": [ @@ -129,7 +133,7 @@ " (0.94512547, 0.27088898, -0.18263903)>" ] }, - "execution_count": 25, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -150,8 +154,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:57:06.211774Z", - "start_time": "2020-11-04T18:57:06.205723Z" + "end_time": "2020-11-11T15:18:19.448874Z", + "start_time": "2020-11-11T15:18:19.445611Z" } }, "outputs": [ @@ -180,11 +184,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:57:35.999683Z", - "start_time": "2020-11-04T18:57:35.995940Z" + "end_time": "2020-11-11T15:18:19.457307Z", + "start_time": "2020-11-11T15:18:19.450325Z" } }, "outputs": [ @@ -210,11 +214,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:58:39.921270Z", - "start_time": "2020-11-04T18:58:39.917764Z" + "end_time": "2020-11-11T15:18:19.461514Z", + "start_time": "2020-11-11T15:18:19.458821Z" } }, "outputs": [], @@ -226,11 +230,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:58:40.417427Z", - "start_time": "2020-11-04T18:58:40.413067Z" + "end_time": "2020-11-11T15:18:19.467262Z", + "start_time": "2020-11-11T15:18:19.463229Z" } }, "outputs": [ @@ -241,7 +245,7 @@ " (120.40898448, 34.5112558, -23.2682118)>" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -259,11 +263,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:59:14.791521Z", - "start_time": "2020-11-04T18:59:14.786208Z" + "end_time": "2020-11-11T15:18:19.474482Z", + "start_time": "2020-11-11T15:18:19.469328Z" } }, "outputs": [ @@ -274,7 +278,7 @@ " (125.2571368, 0.279134, -23.2682118)>" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -292,11 +296,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:59:47.007016Z", - "start_time": "2020-11-04T18:59:46.996587Z" + "end_time": "2020-11-11T15:18:19.482275Z", + "start_time": "2020-11-11T15:18:19.476594Z" } }, "outputs": [ @@ -314,7 +318,7 @@ " (15.9932, -10.52351344, 127.4)>" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -336,11 +340,11 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:59:57.084716Z", - "start_time": "2020-11-04T18:59:57.082211Z" + "end_time": "2020-11-11T15:18:19.486370Z", + "start_time": "2020-11-11T15:18:19.484169Z" } }, "outputs": [], @@ -357,11 +361,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T19:00:31.292480Z", - "start_time": "2020-11-04T19:00:31.287511Z" + "end_time": "2020-11-11T15:18:19.494383Z", + "start_time": "2020-11-11T15:18:19.489197Z" } }, "outputs": [ @@ -372,7 +376,7 @@ " (125.2571368, 15.9932, -23.2682118)>" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -390,11 +394,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T19:01:14.814544Z", - "start_time": "2020-11-04T19:01:14.810931Z" + "end_time": "2020-11-11T15:18:19.499745Z", + "start_time": "2020-11-11T15:18:19.496097Z" } }, "outputs": [ @@ -404,7 +408,7 @@ "(, , )" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -426,11 +430,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T19:23:06.832260Z", - "start_time": "2020-11-04T19:23:06.811477Z" + "end_time": "2020-11-11T15:18:19.525925Z", + "start_time": "2020-11-11T15:18:19.501588Z" } }, "outputs": [], @@ -447,11 +451,11 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T19:23:07.335662Z", - "start_time": "2020-11-04T19:23:07.329798Z" + "end_time": "2020-11-11T15:18:19.533124Z", + "start_time": "2020-11-11T15:18:19.527590Z" } }, "outputs": [ @@ -461,7 +465,7 @@ "474" ] }, - "execution_count": 23, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -484,11 +488,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T19:32:04.919203Z", - "start_time": "2020-11-04T19:32:04.914014Z" + "end_time": "2020-11-11T15:18:19.541238Z", + "start_time": "2020-11-11T15:18:19.535122Z" } }, "outputs": [ @@ -500,7 +504,7 @@ " (295.548, 27.366, 522.9), (298.306, 39.349, 1034.6)]>" ] }, - "execution_count": 25, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -518,11 +522,11 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:28:47.216286Z", - "start_time": "2020-11-04T20:28:47.210807Z" + "end_time": "2020-11-11T15:18:19.547208Z", + "start_time": "2020-11-11T15:18:19.543099Z" } }, "outputs": [], @@ -560,11 +564,11 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:49:55.771611Z", - "start_time": "2020-11-04T20:49:55.240651Z" + "end_time": "2020-11-11T15:18:20.240725Z", + "start_time": "2020-11-11T15:18:19.549168Z" } }, "outputs": [ @@ -574,7 +578,7 @@ "Text(0, 0.5, 'Dec [deg]')" ] }, - "execution_count": 61, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, @@ -612,11 +616,11 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T21:02:39.684573Z", - "start_time": "2020-11-04T21:02:39.680653Z" + "end_time": "2020-11-11T15:18:20.246239Z", + "start_time": "2020-11-11T15:18:20.241946Z" } }, "outputs": [], @@ -628,53 +632,37 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "TODO While the recommended ... also accept ..." + "While the recommended way of transforming `SkyCoord` objects to new frames is by passing in a frame class *instance* as we demonstrated in the cell above, `SkyCoord` also supports a shorthand for transforming some frames by accessing attributes (named as the lower-case version of the new frame name):" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:04:26.948464Z", - "start_time": "2020-11-04T20:04:26.944247Z" + "end_time": "2020-11-11T15:19:47.981047Z", + "start_time": "2020-11-11T15:19:47.977027Z" } }, "outputs": [], "source": [ - "open_cluster_gal = open_cluster_c.transform_to('galactic')" + "open_cluster_gal = open_cluster_c.galactic" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [ - "TODO also accept ..." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2020-11-04T20:04:27.096453Z", - "start_time": "2020-11-04T20:04:27.092442Z" - } - }, - "outputs": [], "source": [ - "open_cluster_gal = open_cluster_c.galactic" + "The transformed `SkyCoord` object now contains coordinate data in the `Galactic` coordinate frame:" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:04:27.242952Z", - "start_time": "2020-11-04T20:04:27.238036Z" + "end_time": "2020-11-11T15:20:19.280073Z", + "start_time": "2020-11-11T15:20:19.276082Z" } }, "outputs": [ @@ -688,7 +676,7 @@ " ( 74.37841053, 6.07393592, 1034.59997559)]>" ] }, - "execution_count": 49, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -697,13 +685,20 @@ "open_cluster_gal[:4]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Comparing this to the original `SkyCoord`, note that the names of the longitude and latitude components have changed from `ra` to `l` and from `dec` to `b`, per convention. We can therefore access the new Galactic longitude/latitude data using these new attribute names:" + ] + }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:04:27.581572Z", - "start_time": "2020-11-04T20:04:27.576907Z" + "end_time": "2020-11-11T15:21:17.769406Z", + "start_time": "2020-11-11T15:21:17.763924Z" } }, "outputs": [ @@ -718,7 +713,7 @@ "" ] }, - "execution_count": 50, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -729,11 +724,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:04:27.982067Z", - "start_time": "2020-11-04T20:04:27.977967Z" + "end_time": "2020-11-11T15:21:18.254275Z", + "start_time": "2020-11-11T15:21:18.249509Z" } }, "outputs": [ @@ -748,7 +743,7 @@ "" ] }, - "execution_count": 51, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -757,13 +752,27 @@ "open_cluster_gal.b[:3]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Note: the ICRS coordinate component names (`.ra`, `.dec`) will therefore **not** work on this new, transformed `SkyCoord` instance, `open_cluster_gal`*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With this new `SkyCoord` object (in the Galactic frame), let's re-make a sky plot to visualize the sky positions of the open clusters in Galactic coordinates:" + ] + }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T20:04:28.945961Z", - "start_time": "2020-11-04T20:04:28.476836Z" + "end_time": "2020-11-11T15:24:30.878167Z", + "start_time": "2020-11-11T15:24:30.371699Z" } }, "outputs": [ @@ -773,21 +782,21 @@ "Text(0, 0.5, 'Galactic latitude, $b$ [deg]')" ] }, - "execution_count": 52, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { "image/png": { - "height": 280, - "width": 522 + "height": 274, + "width": 620 }, "needs_background": "light" }, @@ -800,259 +809,700 @@ "ax.set_ylabel('Galactic latitude, $b$ [deg]')" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ngc188_center.transform_to('galactic')" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This method either takes a string name of a coordinate frame, or an instance of a coordinate frame object itself. For example, the class representing the Galactic frame is:" + "As we hoped and expected, in the Galactic coordinate frame, the open clusters predominantly appear at low galactic latitudes!" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "from astropy.coordinates import Galactic\n", - "ngc188_center.transform_to(Galactic())" + "### Exercises\n", + "\n", + "TODO" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "For coordinate frames that do not require additional parameters, the transformations can also be accessed by attributes of the `SkyCoord` object. Another way to transform to the Galactic frame, then, is to do:" + "## Transforming to More Complex Coordinate Frames: Computing the Altitude of a Target at an Observatory\n", + "\n", + "To determine whether a target is observable from a given observatory on Earth or to find out what targets are observable from a city or place on Earth at some time, we sometimes need to convert a coordinate or set of coordinates to a frame that is local to an on-earth observer. The most common choice for such a frame is \"horizontal\" or \"Altitude-Azimuth\" coordinates. In this frame, the sky coordinates of a source can be specified as an altitude from the horizon and an azimuth angle at a specified time. This coordinate frame is supported in `astropy.coordinates` through the `AltAz` coordinate frame.\n", + "\n", + "The `AltAz` frame is different from the previously-demonstrated `Galactic` frame in that it requires additional metadata to define the frame instance. Since the `Galactic` frame is close to being a 3D rotation away from the ICRS frame, and that rotation matrix is fixed, we could transform to `Galactic` by instantiating the class with no arguments (see the example above where we used `.transform_to(Galactic())`). In order to specify an instance of the `AltAz` frame, we have to (at minimum) pass in (1) a location on Earth, and (2) the time (or times) we are requesting the frame at. \n", + "\n", + "In `astropy.coordinates`, we specify locations on Earth with the `EarthLocation` class ([docs](https://docs.astropy.org/en/stable/api/astropy.coordinates.EarthLocation.html)). If we know the Earth longitude and latitude of our site, we can use these to create an instance of `EarthLocation` directly:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T17:09:08.146803Z", + "start_time": "2020-11-11T17:09:08.143841Z" + } + }, "outputs": [], "source": [ - "ngc188_center.galactic" + "demo_loc = EarthLocation.from_geodetic(\n", + " lon=-74.32834*u.deg, lat=43.05885*u.deg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that changing frames also changes some of the attributes of the object, most often the names of the component attributes. Recall that for the ICRS frame the components were `ra` and `dec`; For the Galactic frame, the corresponding longitude and latitude are named `l` and `b`:" + "The `EarthLocation` class also provides handy short-hands for retrieving an instance for a given street address (by querying the [OpenStreetMap](https://www.openstreetmap.org/) web API):" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T17:09:14.811285Z", + "start_time": "2020-11-11T17:09:14.045342Z" + } + }, "outputs": [], "source": [ - "ngc188_gal = ngc188_center.galactic\n", - "ngc188_gal.l, ngc188_gal.b" + "demo_loc = EarthLocation.of_address('162 Fifth Ave, New York, NY 10010')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note that the names `.ra` and `.dec` will therefore *not* work on this transformed `SkyCoord`:" + "Or for an astronomical observatory (use `EarthLocation.get_site_names()` to see a list of all available sites). For example, to retrieve an `EarthLocation` instance for the position of Kitt Peak National Observatory (in AZ, USA):" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 45, "metadata": { "ExecuteTime": { - "end_time": "2020-11-04T18:46:47.382392Z", - "start_time": "2020-11-04T18:46:47.380566Z" - }, - "tags": [ - "raises-exception" - ] + "end_time": "2020-11-11T17:18:59.906182Z", + "start_time": "2020-11-11T17:18:59.903668Z" + } }, "outputs": [], "source": [ - "# This would throw an error:\n", - "# open_cluster_gal.ra" + "observing_location = EarthLocation.of_site('Kitt Peak')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Using frame transformations to get to AltAz\n", + "We will use Kitt Peak as our site.\n", "\n", - "To determine whether a target is observable from a given observatory on Earth, we need to convert our coordinate to a frame local to an on-earth observer. The most common choice for such a frame is horizontal coordinates, or \"AltAz\" coordinates. The `AltAz` coordinate frame requires a few extra pieces of information to define: a location on Earth, and the time of observation. These are handled with the `EarthLocation` and `Time` objects, respectively:" + "As an example, we will now compute the altitude of a few of the open clusters from our catalog above over the course of a night. We have an object to represent our location on Earth, so now we need to create a set of times to compute the `AltAz` frame for. `AltAz` expects time information to be passed in as an `astropy.time.Time` object ([docs](https://docs.astropy.org/en/stable/api/astropy.time.Time.html); which can contain an array of times). Let's pretend we have an observing run coming up on Dec 18, 2020, and we would like to compute the altitude/azimuth coordinates for our open clusters over that whole night." ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 76, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:51:57.937326Z", + "start_time": "2020-11-11T18:51:57.932923Z" + } + }, "outputs": [], "source": [ - "from astropy.coordinates import EarthLocation\n", - "from astropy.time import Time" + "# 1AM UTC = 6PM local time (AZ mountain time), roughly the start of a night\n", + "observing_date = Time('2020-12-18 1:00')\n", + "\n", + "# Compute the alt/az over a 14 hour period, starting at 6PM local time,\n", + "# with 256 equally spaced time points:\n", + "time_grid = observing_date + np.linspace(0, 14, 256) * u.hour" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let's assume we will be observing at Kitt Peak in a few weeks. We can easily retrieve the Earth location of Kitt Peak using the `EarthLocation.of_site` method:" + "Now we use our location, `observing_location`, and this grid of times, `time_grid`, to create an `AltAz` frame object. \n", + "\n", + "*Note: This frame accepts even more parameters about the atmosphere, which can be used to correct for atmospheric refraction. But here we leave those additional parameters set to their defaults, which ignores refraction.*" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 82, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:53:00.533456Z", + "start_time": "2020-11-11T18:53:00.531444Z" + }, + "scrolled": false + }, "outputs": [], "source": [ - "observing_location = EarthLocation.of_site('Kitt Peak')\n", - "# List of all locations can be viewed using\n", - "# EarthLocation.get_site_names()" + "altaz = AltAz(location=observing_location, obstime=time_grid)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "And let's pretend our observing run starts on Jan 20 this year:" + "Now we can transform the ICRS `SkyCoord` positions of the open clusters to `AltAz` to get the location of each of the clusters in the sky over Kitt Peak over a night. Let's first do this only for the first open cluster in the catalog we loaded:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:53:01.073481Z", + "start_time": "2020-11-11T18:53:01.026966Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "observing_time = Time('2020-01-20 1:00') # 1am UTC=6pm AZ mountain time" + "oc_altaz = open_cluster_c[0].transform_to(altaz)\n", + "oc_altaz" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now we use these to create an `AltAz` frame object. Note that this frame has even more information about the atmosphere, which can be used to correct for atmospheric refraction. Here we leave that alone, because the default is to ignore this effect (by setting the air pressure to 0)." + "There is a lot of information in the representation of our transformed `SkyCoord`, but note that the frame of the new object is now correctly noted as `AltAz`, as in`" + ] + }, + "metadata": { + "image/png": { + "height": 352, + "width": 425 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "from astropy.coordinates import AltAz\n", - "\n", - "altaz = AltAz(location=observing_location, obstime=observing_time)\n", - "altaz" + "plt.figure(figsize=(6, 5))\n", + "plt.plot(time_grid.datetime, oc_altaz.alt.degree, marker='')\n", + "plt.axhline(0, zorder=-10, linestyle='--', color='tab:red')\n", + "plt.xlabel('Date/Time [UTC]')\n", + "plt.ylabel('Altitude [deg]')\n", + "plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=45)\n", + "plt.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now we can just transform our ICRS `SkyCoord` to `AltAz` to get the location in the sky over Kitt Peak at the requested time:" + "Here we can see that this open cluster reaches a high altitude above the horizon from Kitt Peak, and so it looks like it would be observable from this site. The above curve only shows the altitude trajectory for the first open cluster in our catalog, but we would like to compute the equivalent for *all* of the open clusters in the catalog. To do this, we have to make use of a concept that is used heavily in Numpy: [array broadcasting](https://numpy.org/doc/stable/user/basics.broadcasting.html). We have 474 open clusters and we want to evaluate the `AltAz` coordinates of these clusters at 256 different times." ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:56:22.636557Z", + "start_time": "2020-11-11T18:56:22.632978Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(474, 256)" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "ngc188_center.transform_to(altaz)" + "len(open_cluster_c), len(altaz.obstime)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Alright, the cluster NGC 188 is up at 6PM local time at Kitt Peak, but that is pretty early to be observing. We could just try various times one at a time to see if the airmass is at a darker time, but we can do better: We can make an airmass plot for the whole night:" + "We therefore want to produce a two-dimensional coordinate object that is indexed along one axis by the open cluster index, and along other axis by the time index. The `astropy.coordinates` transformation machinery supports array-like broadcasting, so we can do this by creating new, unmatched, length-1 axes on both the open clusters `SkyCoord` object and the `AltAz` frame using `numpy.newaxis`:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:56:37.507643Z", + "start_time": "2020-11-11T18:56:37.242493Z" + } + }, "outputs": [], "source": [ - "# this gives a Time object with an *array* of times\n", - "delta_hours = np.linspace(0, 6, 100)*u.hour\n", - "full_night_times = observing_time + delta_hours\n", - "full_night_altaz = AltAz(location=observing_location, obstime=full_night_times)\n", - "full_night_altaz_coords = ngc188_center.transform_to(full_night_altaz)\n", - "\n", - "plt.plot(delta_hours, full_night_altaz_coords.secz)\n", - "plt.xlabel('Hours from 6PM AZ time')\n", - "plt.ylabel('Airmass [Sec(z)]')\n", - "plt.ylim(0.9, 3)\n", - "plt.tight_layout()" + "open_cluster_altaz = open_cluster_c[:, np.newaxis].transform_to(altaz[np.newaxis])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "It looks like our source is observable, but at relatively high airmass, for most of the night, but the minimum airmass is at the start of the night. When can we start observing with proper dark skies? Astropy also provides a ``get_sun`` function that can be used to check the sky position of the sun to check, e.g., when we are in 18-degree twilight:" + "Let's now over-plot the trajectories for the first 10 open clusters in the catalog:" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 92, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-11T18:59:12.042604Z", + "start_time": "2020-11-11T18:59:11.876985Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 352, + "width": 425 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "from astropy.coordinates import get_sun\n", - "\n", - "full_night_sun_coos = get_sun(full_night_times).transform_to(full_night_altaz)\n", - "plt.plot(delta_hours, full_night_sun_coos.alt.deg)\n", - "plt.axhline(-18, color='k')\n", - "plt.xlabel('Hours from 6PM AZ time')\n", - "plt.ylabel('Sun altitude')\n", + "plt.figure(figsize=(6, 5))\n", + "plt.plot(time_grid.datetime, \n", + " open_cluster_altaz[:10].alt.degree.T, \n", + " marker='', alpha=0.5)\n", + "plt.axhline(0, zorder=-10, linestyle='--', color='tab:red')\n", + "plt.xlabel('Date/Time [UTC]')\n", + "plt.ylabel('Altitude [deg]')\n", + "plt.setp(plt.gca().xaxis.get_majorticklabels(), rotation=45)\n", "plt.tight_layout()" ] }, @@ -1060,80 +1510,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Looks like it's just below -18 degrees a little after 7PM local time, so we can start observing our target then!" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercises" + "From this, we can see that only two of the clusters in this batch seem to be easily observable." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Try converting the NGC 188 center coordinates to an equatorial frame at some other equinox a while in the past (e.g., J1900). Do you see the precession of the equinoxes?\n", + "### Exercises\n", "\n", - "Hint: To see a diagram of the supported frames, see [here](http://docs.astropy.org/en/stable/coordinates/#module-astropy.coordinates). `FK5` has a parameter called 'equinox' - that looks promising!" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import FK5\n", - "\n", - "ngc188_center.transform_to(FK5(equinox='J2000'))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ngc188_center.transform_to(FK5(equinox='J1900'))" + "TODO" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "What time is Sunset on our observing night? Try solving for the time at which the Sun's altitude is closest to 0 (i.e. do not just eyeball the plot, like we did above)." + "In this tutorial, we have introduced the key concepts that underly the `astropy.coordinates` framework: coordinate component formats, representations, and frames. We demonstrated how to change the representation of a `SkyCoord` object (e.g., Cartesian to Cylindrical). We then introduce the concept of coordinate frames and frame transformations." ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from astropy.coordinates import Angle\n", - "from scipy.optimize import minimize\n", - "\n", - "def function_to_minimize(local_time):\n", - " time = observing_time + local_time*u.hour\n", - " aa_frame = AltAz(location=observing_location, obstime=time)\n", - " coo = get_sun(time).transform_to(aa_frame)\n", - " return coo.alt.deg**2\n", - "\n", - "optimization_result = minimize(function_to_minimize, [1]) # Initial guess: 1 hour after 6pm\n", - "\n", - "# this gives the local arizona time in PM, because the function we optimized uses the offset from 6pm\n", - "sunset_time_dec = 6. + optimization_result.x[0] \n", - "Angle(sunset_time_dec*u.hour)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb index 0d49858bf..ae5edefa5 100644 --- a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb +++ b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb @@ -18,7 +18,13 @@ "\n", "## Summary\n", "\n", - "TODO: this is 3rd tutorial in a series..." + "In the previous tutorials in this series, we introduced many of the key concepts underlying how to represent and transform astronomical coordinates using `astropy.coordinates`.\n", + "\n", + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to transform astronomical coordinates between different coordinate systems or frames. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", + "\n", + "*Note: This is the 3rd tutorial in a series of tutorials about astropy.coordinates. If you are new to astropy.coordinates, you may want to start from the beginning or an earlier tutorial.*\n", + "- [Previous tutorial: Astronomical Coordinates 2: Transforming Coordinate Systems and Representations](2-Coordinates-Transforms)\n", + "- [Next tutorial: Astronomical Coordinates 4 - Working with Velocity Data](4-Coordinates-Velocities)" ] }, { @@ -27,7 +33,7 @@ "source": [ "## Imports\n", "\n", - "We start by importing some general packages we will need below:" + "We start by importing some general packages that we will need below:" ] }, { @@ -56,8 +62,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n", - "\n", "## Cross-matching and comparing catalogs\n", "\n", "Let's recap what we have done so far: We defined a `SkyCoord` object to represent the center of an open cluster (NGC 188), we queried the *Gaia* DR2 catalog to select stars that are close (on the sky) to the center of the cluster, and we used the parallax values from *Gaia* to select stars that are near NGC 188 in 3D position.\n", From 95d5381b74cac4f29bfbd79d7328e3237d5f8947 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 11 Nov 2020 14:18:13 -0500 Subject: [PATCH 27/43] words --- .../3-Coordinates-Crossmatch.ipynb | 28 +++++++++---------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb index ae5edefa5..0000a01e9 100644 --- a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb +++ b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb @@ -20,7 +20,7 @@ "\n", "In the previous tutorials in this series, we introduced many of the key concepts underlying how to represent and transform astronomical coordinates using `astropy.coordinates`.\n", "\n", - "In this tutorial, we will explore how the `astropy.coordinates` package can be used to transform astronomical coordinates between different coordinate systems or frames. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to cross-match two catalogs that contain overlapping sources that may have been observed at different times. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", "\n", "*Note: This is the 3rd tutorial in a series of tutorials about astropy.coordinates. If you are new to astropy.coordinates, you may want to start from the beginning or an earlier tutorial.*\n", "- [Previous tutorial: Astronomical Coordinates 2: Transforming Coordinate Systems and Representations](2-Coordinates-Transforms)\n", @@ -41,8 +41,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.637389Z", - "start_time": "2020-09-16T17:38:08.065804Z" + "end_time": "2020-11-11T19:11:55.286903Z", + "start_time": "2020-11-11T19:11:53.504019Z" } }, "outputs": [], @@ -73,11 +73,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:39:43.298680Z", - "start_time": "2020-09-16T17:39:43.235189Z" + "end_time": "2020-11-11T19:11:55.570457Z", + "start_time": "2020-11-11T19:11:55.288779Z" } }, "outputs": [], @@ -108,11 +108,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:40:06.820917Z", - "start_time": "2020-09-16T17:40:06.787774Z" + "end_time": "2020-11-11T19:11:55.612357Z", + "start_time": "2020-11-11T19:11:55.572390Z" } }, "outputs": [], @@ -129,11 +129,11 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:40:07.934070Z", - "start_time": "2020-09-16T17:40:07.926244Z" + "end_time": "2020-11-11T19:11:56.781175Z", + "start_time": "2020-11-11T19:11:56.775157Z" } }, "outputs": [ @@ -141,7 +141,7 @@ "data": { "text/html": [ "QTable length=3\n", - "\n", + "
\n", "\n", "\n", "\n", @@ -161,7 +161,7 @@ " 8.645318 84.868584 00343487+8452069 10.356 ... 111 000 0 0" ] }, - "execution_count": 32, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } From 2d05660c23e4308216f6273da3b837182e7ae334 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 08:39:34 -0500 Subject: [PATCH 28/43] fix permissions --- tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) mode change 100755 => 100644 tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb diff --git a/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb b/tutorials/notebooks/astropy-coordinates/1-Coordinates-Intro.ipynb old mode 100755 new mode 100644 From 9c952ce66735498622113757141aad9515b547cd Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 08:48:22 -0500 Subject: [PATCH 29/43] swap 3 and 4 --- ...oordinates-Velocities.ipynb => 3-Coordinates-Velocities.ipynb} | 0 ...oordinates-Crossmatch.ipynb => 4-Coordinates-Crossmatch.ipynb} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename tutorials/notebooks/astropy-coordinates/{4-Coordinates-Velocities.ipynb => 3-Coordinates-Velocities.ipynb} (100%) rename tutorials/notebooks/astropy-coordinates/{3-Coordinates-Crossmatch.ipynb => 4-Coordinates-Crossmatch.ipynb} (100%) diff --git a/tutorials/notebooks/astropy-coordinates/4-Coordinates-Velocities.ipynb b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb similarity index 100% rename from tutorials/notebooks/astropy-coordinates/4-Coordinates-Velocities.ipynb rename to tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb diff --git a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb b/tutorials/notebooks/astropy-coordinates/4-Coordinates-Crossmatch.ipynb similarity index 100% rename from tutorials/notebooks/astropy-coordinates/3-Coordinates-Crossmatch.ipynb rename to tutorials/notebooks/astropy-coordinates/4-Coordinates-Crossmatch.ipynb From 465c8403e4e9d751bcd82c38012a892776b7d0e7 Mon Sep 17 00:00:00 2001 From: Adrian Price-Whelan Date: Wed, 18 Nov 2020 09:58:12 -0500 Subject: [PATCH 30/43] words about velocities --- .../2-Coordinates-Transforms.ipynb | 2 +- .../3-Coordinates-Velocities.ipynb | 669 +++++++++++++++--- .../4-Coordinates-Crossmatch.ipynb | 2 +- .../HD_219829_query_results.ecsv | 528 ++++++++++++++ 4 files changed, 1116 insertions(+), 85 deletions(-) create mode 100644 tutorials/notebooks/astropy-coordinates/HD_219829_query_results.ecsv diff --git a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb index 45700e54f..d0dbe94eb 100644 --- a/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb +++ b/tutorials/notebooks/astropy-coordinates/2-Coordinates-Transforms.ipynb @@ -26,7 +26,7 @@ "\n", "*Note: This is the 2nd tutorial in a series of tutorials about astropy.coordinates. If you are new to astropy.coordinates, you may want to start from the beginning or an earlier tutorial.*\n", "- [Previous tutorial: Astronomical Coordinates 1 - Getting Started](1-Coordinates-Intro)\n", - "- [Next tutorial: Astronomical Coordinates 3 - Crossmatching](3-Coordinates-Crossmatch)" + "- [Next tutorial: Astronomical Coordinates 3 - Working with Velocity Data](3-Coordinates-Velocities)" ] }, { diff --git a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb index 56522fbad..67ffac3cc 100644 --- a/tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb +++ b/tutorials/notebooks/astropy-coordinates/3-Coordinates-Velocities.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Astronomical Coordinates 4: Working with Velocity Data in astropy.coordinates\n", + "# Astronomical Coordinates 3: Working with Velocity Data in astropy.coordinates\n", "\n", "## Authors\n", "Adrian Price-Whelan\n", @@ -18,7 +18,13 @@ "\n", "## Summary\n", "\n", - "TODO: this is 3rd tutorial in a series..." + "In the previous tutorial in this series, we showed how astronomical *positional* coordinates can be represented and transformed in Python using the `SkyCoord` object ([docs](https://docs.astropy.org/en/stable/coordinates/skycoord.html)). Many sources, especially stars (thanks to the Gaia mission), have measured velocities or measured components of their velocity (e.g., just proper motion, or just radial velocity).\n", + "\n", + "In this tutorial, we will explore how the `astropy.coordinates` package can be used to represent and transform astronomical coordinates that have associated velocity data. You may find it helpful to keep [the Astropy documentation for the coordinates package](http://docs.astropy.org/en/stable/coordinates/index.html) open alongside this tutorial for reference or additional reading. In the text below, you may also see some links that look like ([docs](http://docs.astropy.org/en/stable/coordinates/index.html)). These links will take you to parts of the documentation that are directly relevant to the cells from which they link. \n", + "\n", + "*Note: This is the 3rd tutorial in a series of tutorials about astropy.coordinates. If you are new to astropy.coordinates, you may want to start from the beginning or an earlier tutorial.*\n", + "- [Previous tutorial: Astronomical Coordinates 2 - Transforming Coordinate Systems and Representations¶](2-Coordinates-Transforms)\n", + "- [Next tutorial: Astronomical Coordinates 4 - Cross-matching Catalogs](4-Coordinates-Crossmatch)" ] }, { @@ -32,71 +38,158 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2020-09-16T17:38:09.637389Z", - "start_time": "2020-09-16T17:38:08.065804Z" + "end_time": "2020-11-18T14:49:17.639077Z", + "start_time": "2020-11-18T14:49:17.605667Z" } }, "outputs": [], "source": [ + "import warnings\n", + "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import numpy as np\n", "\n", "from astropy import units as u\n", - "from astropy.coordinates import SkyCoord, Distance\n", + "from astropy.coordinates import SkyCoord, Distance, Galactic\n", + "import astropy.coordinates as coord\n", "from astropy.io import fits\n", "from astropy.table import QTable\n", - "from astropy.utils.data import download_file" + "from astropy.time import Time\n", + "from astropy.utils.data import download_file\n", + "from astropy.wcs import WCS\n", + "\n", + "from astroquery.gaia import Gaia" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "---\n", - "\n", - "## More than just sky positions: Including velocity information in `SkyCoord`\n", + "## More Than Sky Positions: Including Velocity Data in `SkyCoord`\n", "\n", - "As we have seen above, the `SkyCoord` object can store scalars or arrays of positional coordinate information, can transform between different coordinate frames, and can cross-match sets of coordinates. But wait, there's more! `astropy.coordinates` also supports representing and transforming *velocity* information along with positions ([docs](http://docs.astropy.org/en/latest/coordinates/velocities.html)).\n", + "As we have seen in the previous tutorials, the `SkyCoord` object can be used to store scalars or arrays of positional coordinate information and supports transforming between different coordinate frames and representations. But `astropy.coordinates` also supports representing and transforming *velocity* information along with positions ([docs](http://docs.astropy.org/en/latest/coordinates/velocities.html)).\n", "\n", - "### Passing velocity data in to `SkyCoord`\n", + "## Passing Velocity Data into `SkyCoord`\n", "\n", - "Velocity data is passed in to `SkyCoord` in a very similar way to the positional coordinates demonstrated above. However, velocity data must be passed in using keyword arguments, meaning that you must write out the velocity component names, e.g.:" + "Velocity components are passed in to `SkyCoord` in the same way that positional components are specified: As arguments to the `SkyCoord` class. For example, to create a `SkyCoord` to represent a sky position and a proper motion in the (default) ICRS coordinate frame, in addition to the position components `ra`, `dec`, we can pass in values for the proper motion components `pm_ra_cosdec`, `pm_dec` (\"pm\" for \"proper motion\"):" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.217015Z", + "start_time": "2020-11-18T14:26:05.210080Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "SkyCoord(ra=10*u.deg, \n", - " dec=20*u.deg,\n", - " pm_ra_cosdec=1*u.mas/u.yr,\n", - " pm_dec=2*u.mas/u.yr)" + "SkyCoord(\n", + " ra=10*u.deg, \n", + " dec=20*u.deg,\n", + " pm_ra_cosdec=1*u.mas/u.yr,\n", + " pm_dec=2*u.mas/u.yr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In the above, we create a `SkyCoord` instance with sky position and proper motion data. The proper motion component names for ICRS coordinates are, by default, `pm_ra_cosdec` and `pm_dec` (\"pm\" for \"proper motion\"). You can also specify radial velocity data via the `radial_velocity` argument, e.g.:" + "Like the examples in previous tutorials demonstrated for positional coordinates, we can also create an array-valued `SkyCoord` object by passing in arrays of data for all of the components:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.224701Z", + "start_time": "2020-11-18T14:26:05.219053Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SkyCoord(\n", + " ra=np.linspace(0, 10, 5)*u.deg, \n", + " dec=np.linspace(5, 20, 5)*u.deg,\n", + " pm_ra_cosdec=np.linspace(-5, 5, 5)*u.mas/u.yr,\n", + " pm_dec=np.linspace(-5, 5, 5)*u.mas/u.yr)" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "velocity_coord = SkyCoord(ra=10*u.deg, \n", - " dec=20*u.deg,\n", - " pm_ra_cosdec=1*u.mas/u.yr,\n", - " pm_dec=2*u.mas/u.yr,\n", - " radial_velocity=100*u.km/u.s)\n", + "However, for some of the examples below we will continue to use scalar values for brevity. \n", + "\n", + "You can also specify radial velocity data with the `radial_velocity` argument:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.234320Z", + "start_time": "2020-11-18T14:26:05.226327Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord = SkyCoord(\n", + " ra=10*u.deg, \n", + " dec=20*u.deg,\n", + " pm_ra_cosdec=1*u.mas/u.yr,\n", + " pm_dec=2*u.mas/u.yr,\n", + " radial_velocity=100*u.km/u.s)\n", "velocity_coord" ] }, @@ -104,77 +197,387 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A `SkyCoord` object with velocity data can be transformed to other frames just like the objects we are used to from above:" + "The component data can then be accessed using the same names used to pass in the velocity components:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.277210Z", + "start_time": "2020-11-18T14:26:05.272544Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$1 \\; \\mathrm{\\frac{mas}{yr}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord.pm_ra_cosdec" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.409637Z", + "start_time": "2020-11-18T14:26:05.403885Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$100 \\; \\mathrm{\\frac{km}{s}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord.radial_velocity" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "velocity_coord.transform_to('galactic')" + "A `SkyCoord` object with velocity data can be transformed to other frames just like the position-only coordinate objects we used in the previous tutorials:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:05.708867Z", + "start_time": "2020-11-18T14:26:05.693678Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord_gal = velocity_coord.transform_to(Galactic())\n", + "velocity_coord_gal" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "An important caveat, however, is that some reference frames require knowing distance in order to transform all velocity components - something we did not specify in the `velocity_coord` definition above:" + "Note that, like the position components, which change from `ra`,`dec` to `l`,`b`, the proper motion component names have changed to reflect naming conventions for the component names in a given frame: `pm_ra_cosdec` and `pm_dec` have become `pm_l_cosb` and `pm_b`:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:06.036865Z", + "start_time": "2020-11-18T14:26:06.031738Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$1.1191706 \\; \\mathrm{\\frac{mas}{yr}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord_gal.pm_l_cosb" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:06.202127Z", + "start_time": "2020-11-18T14:26:06.195068Z" + } + }, + "outputs": [ + { + "data": { + "text/latex": [ + "$1.935835 \\; \\mathrm{\\frac{mas}{yr}}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_coord_gal.pm_b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "An important caveat to note when transforming a `SkyCoord` object with velocity data is that some reference frames require knowing the distances, or the full velocity vectors (i.e. proper motion components and radial velocity) in order to transform the velocities correctly. For example, a `SkyCoord` with only sky position and proper motion data cannot be transformed to a frame with a positional or velocity offset, such as the `Galactocentric` frame ([docs](https://docs.astropy.org/en/stable/coordinates/galactocentric.html))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:06.821665Z", + "start_time": "2020-11-18T14:26:06.798198Z" + }, "tags": [ "raises-exception" ] }, - "outputs": [], + "outputs": [ + { + "ename": "ConvertError", + "evalue": "Transforming to/from a Galactocentric frame requires a 3D coordinate, e.g. (angle, angle, distance) or (x, y, z).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mConvertError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;31m# This cell will raise an exception - this is expected!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mtest_coord\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_to\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcoord\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGalactocentric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/anaconda/lib/python3.8/site-packages/astropy/coordinates/sky_coordinate.py\u001b[0m in \u001b[0;36mtransform_to\u001b[0;34m(self, frame, merge_attributes)\u001b[0m\n\u001b[1;32m 618\u001b[0m \u001b[0;31m# Do the transformation, returning a coordinate frame of the desired\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 619\u001b[0m \u001b[0;31m# final type (not generic).\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 620\u001b[0;31m \u001b[0mnew_coord\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrans\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgeneric_frame\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 621\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 622\u001b[0m \u001b[0;31m# Finally make the new SkyCoord object from the `new_coord` and\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda/lib/python3.8/site-packages/astropy/coordinates/transformations.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, fromcoord, toframe)\u001b[0m\n\u001b[1;32m 1390\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1391\u001b[0m \u001b[0mcurr_toframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtosys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mfrattrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1392\u001b[0;31m \u001b[0mcurr_coord\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcurr_coord\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurr_toframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1393\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1394\u001b[0m \u001b[0;31m# this is safe even in the case where self.transforms is empty, because\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda/lib/python3.8/site-packages/astropy/coordinates/transformations.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, fromcoord, toframe)\u001b[0m\n\u001b[1;32m 1208\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfromcoord\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtoframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1209\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1210\u001b[0;31m \u001b[0mM\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvec\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfromcoord\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtoframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1211\u001b[0m \u001b[0mnewrep\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfromcoord\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mM\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda/lib/python3.8/site-packages/astropy/coordinates/builtin_frames/galactocentric.py\u001b[0m in \u001b[0;36micrs_to_galactocentric\u001b[0;34m(icrs_coord, galactocentric_frame)\u001b[0m\n\u001b[1;32m 415\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mframe_transform_graph\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mAffineTransform\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mICRS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mGalactocentric\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 416\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0micrs_to_galactocentric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0micrs_coord\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgalactocentric_frame\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 417\u001b[0;31m \u001b[0m_check_coord_repr_diff_types\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0micrs_coord\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 418\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mget_matrix_vectors\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgalactocentric_frame\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 419\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/anaconda/lib/python3.8/site-packages/astropy/coordinates/builtin_frames/galactocentric.py\u001b[0m in \u001b[0;36m_check_coord_repr_diff_types\u001b[0;34m(c)\u001b[0m\n\u001b[1;32m 399\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_check_coord_repr_diff_types\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 400\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mUnitSphericalRepresentation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 401\u001b[0;31m raise ConvertError(\"Transforming to/from a Galactocentric frame \"\n\u001b[0m\u001b[1;32m 402\u001b[0m \u001b[0;34m\"requires a 3D coordinate, e.g. (angle, angle, \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 403\u001b[0m \"distance) or (x, y, z).\")\n", + "\u001b[0;31mConvertError\u001b[0m: Transforming to/from a Galactocentric frame requires a 3D coordinate, e.g. (angle, angle, distance) or (x, y, z)." + ] + } + ], "source": [ - "# THIS SHOULD ERROR:\n", - "velocity_coord.transform_to(altaz)" + "test_coord = SkyCoord(\n", + " ra=10*u.deg, \n", + " dec=20*u.deg,\n", + " pm_ra_cosdec=1*u.mas/u.yr,\n", + " pm_dec=2*u.mas/u.yr)\n", + "\n", + "# This cell will raise an exception - this is expected!\n", + "test_coord.transform_to(coord.Galactocentric())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Evolving coordinate positions between epochs\n", + "## Evolving Coordinate Positions Between Epochs\n", + "\n", + "For nearby or fast-moving stars, a star's position could change appreciably between two well-spaced observations of the source. For such cases, it might be necessary to compute the position of the star at a given time using the proper motion or velocity of the star. Let's demonstrate this idea by comparing the sky position of a source as measured by [*Gaia* Data Release 2](https://www.cosmos.esa.int/web/gaia/dr2) (given at the epoch J2015.5) to an image near this source from the Digitized Sky Survey (DSS; digital scans of photographic plates observed in the 1950s). \n", "\n", - "For nearby or fast-moving stars, a star's position could change appreciably between two well-spaced observations of the source. For such cases, it might be necessary to evolve the position of the star using the proper motion or velocity of the star in order to accurately predict its position at a new time. Below, we will demonstrate this using data from the Digitized Sky Survey (DSS; digital scans of photographic plates observed in the 1950s) and data from the *Gaia* mission (at epoch J2015.5).\n", + "From previous astrometric measurements, we know that the star HD 219829 has very large proper motion: Close to 0.5 arcsec/year! Between the DSS and *Gaia*, we therefore expect that the position of the star has changed by about 0.5 arcmin. Let's see if this is the case! \n", "\n", - "The star HD 219829 has a very large proper motion, close to 0.5 arcsec/year. Between the DSS and *Gaia*, we therefore expect that the position of the star has changed by about 0.5 arcmin; Let's see if this is the case! To start, we will query the *Gaia* catalog to retrieve data for this star (but skip the cell below if you do not have an internet connection):" + "To start, we will query the *Gaia* catalog to retrieve data for this star (skip the cell below if you do not have an internet connection - we have provided the table locally as well). We use a large search radius so many sources will be returned" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:08.771854Z", + "start_time": "2020-11-18T14:26:08.106441Z" + } + }, "outputs": [], "source": [ - "hd219829_coord = SkyCoord(ra=349.72896716*u.deg, \n", - " dec=5.40511585*u.deg,\n", - " distance=34.47896*u.pc,\n", - " pm_ra_cosdec=483.41659*u.mas/u.yr,\n", - " pm_dec=-114.86339*u.mas/u.yr,\n", - " obstime=Time('J2015.5'))" + "# Skip this cell if you are not connected to the internet\n", + "gaia_tbl = Gaia.query_object(SkyCoord.from_name('HD 219829'), \n", + " radius=1*u.arcmin)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:26:09.763128Z", + "start_time": "2020-11-18T14:26:09.436934Z" + } + }, + "outputs": [], + "source": [ + "# the .read() below produces some warnings that we can safely ignore\n", + "with warnings.catch_warnings(): \n", + " warnings.simplefilter('ignore', UserWarning)\n", + " \n", + " gaia_tbl = QTable.read('HD_219829_query_results.ecsv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Note above that we specify a new keyword argument, `obstime`, to `SkyCoord`: This is the observation time of the coordinates, and will be important later when we evolve the position of this star using its proper motion.\n", + "We know that HD 219829 will be the brightest source in this small region, so we can extract the row with the smallest G-band magnitude. Let's check the proper motion values for this source to make sure that they are large:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:27:26.046960Z", + "start_time": "2020-11-18T14:27:26.041618Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "Row index=2\n", + "
RAJ2000DEJ2000_2MASSJmage_JmagHmage_HmagKmage_KmagQflgRflgBflgCflgXflgAflg
degdegmagmagmagmagmagmag
float64float64bytes17float32float32float32float32float32float32bytes3bytes3bytes3bytes3uint8uint8
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source_idpmrapmdec
mas / yrmas / yr
int64float64float64
2661015540210781568483.4165901889734-114.8633971841528
" + ], + "text/plain": [ + "\n", + " source_id pmra pmdec \n", + " mas / yr mas / yr \n", + " int64 float64 float64 \n", + "------------------- ----------------- ------------------\n", + "2661015540210781568 483.4165901889734 -114.8633971841528" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hd219829_row = gaia_tbl[gaia_tbl['phot_g_mean_mag'].argmin()]\n", + "hd219829_row['source_id', 'pmra', 'pmdec']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Indeed, it looks like this is our source! Let's construct a `SkyCoord` object for this source using the data from the *Gaia* archive:\n", "\n", - "We now have the position and proper motion for HD 219829. Let's now query the DSS to retrieve a FITS image of the field around this star, using the STSCI DSS image cutout service. Again, skip the cell below if you do not have an internet connection:" + "*Note about the Gaia catalog proper motion column names: The names in the Gaia archive and other repositories containing Gaia data give Right Ascension proper motion values simply as \"pmra\". These components implicitly contain the `cos(dec)` term, so we do **not** have to modify these values in order to pass them in to `SkyCoord` as `pm_ra_cosdec`*" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:31:06.757798Z", + "start_time": "2020-11-18T14:31:06.750196Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hd219829_coord = SkyCoord(\n", + " ra=hd219829_row['ra'], \n", + " dec=hd219829_row['dec'],\n", + " distance=Distance(parallax=hd219829_row['parallax']),\n", + " pm_ra_cosdec=hd219829_row['pmra'],\n", + " pm_dec=hd219829_row['pmdec'],\n", + " obstime=Time(hd219829_row['ref_epoch'], format='jyear'))\n", + "\n", + "hd219829_coord" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "We now have a `SkyCoord` representation of the position and proper motion of the star HD 219829 as measured by *Gaia* and reported at the epoch J2015.5. What does this mean exactly? *Gaia* actually measures the (time-dependent) position of a star every time it scans the part of the sky that contains the source, and this is how *Gaia* is able to measure proper motions of stars. However, if every star is moving and changing its sky positions, how do we ever talk about \"the sky position\" of a star as opposed to \"the sky trajectory of a star\"?! The key is that catalogs often only report the position of a source at some reference epoch. For a survey that only observes the sky once or a few times (e.g., SDSS or 2MASS), this reference epoch might be \"the time that the star was observed.\" But for a mission like *Gaia*, which scans the sky many times, they perform astrometric fits to the individual position measurements, which allow them to measure the parallax, proper motion, and the reference position at a reference time for each source. For *Gaia* data release 2, the reference time is J2015.5, and the sky positions (and other quantities) reported in the catalog for each source are at this epoch. \n", + "\n", + "In `SkyCoord`, we specify the \"epoch\" of an observation using the `obstime` argument, as we did above. Now that we have a coordinate object for HD 219829, let's now compare the position of the star as measured by *Gaia* to its apparent position in an image from the DSS. Let's now query the DSS to retrieve a FITS image of the field around this star, using the STSCI DSS image cutout service. Skip the cell below if you do not have an internet connection (we have provided the image locally as well):" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:49:22.265106Z", + "start_time": "2020-11-18T14:49:21.916260Z" + } + }, + "outputs": [], + "source": [ + "# Skip this cell if you are not connected to the internet\n", + "dss_cutout_filename = download_file(\n", + " f\"http://archive.stsci.edu/cgi-bin/dss_search?\"\n", + " f\"f=FITS&ra={hd219829_coord.ra.degree}&dec={hd219829_coord.dec.degree}\"\n", + " f\"&width=4&height=4\") # width/height in arcmin" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:49:05.646597Z", + "start_time": "2020-11-18T14:49:05.643875Z" + } + }, "outputs": [], "source": [ "dss_cutout_filename = 'dss_hd219829.fits'" @@ -189,12 +592,42 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:49:29.749689Z", + "start_time": "2020-11-18T14:49:28.601365Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ns2fPZttdFKU7Hy56cXFx0e6Te19x23bjjdtG6T3CxV26+8vFrbpjqIlJd5GQ7nq7axEdl2vePaLcNty1rnmXjb7XtXwvcD9zY5e7t12/ceOci5iV/PFF+74bM52LFy+Glpek5eXlR7S5eOrd4BsTAAAAAACgN0xMAAAAAACA3jAxAQAAAAAAesPEBAAAAAAA6A0TEwAAAAAAoDekcuBAchW2S1XNo5WGXcViZxzpAAeVq2TsRCvxR6+1FK8qPYlqqpdHRa+Fq+7tKmlH03ZKogkHzrlz5+zPXF9zY5pTk24TFd0nVz2/pCY1IyJ67aR2iTvHjx/PtrvzWrOvzpEjR0LbjqajSH5/XburMO/uO3f+ShXj3WfcPrk0jYWFhWy7q55f4t49oufPPQfdMZSea+56uyQDl+zg7vnSGDhqLmFjHM+76Jg5jlSOaDrbqBPHpNGP+5JPqIgmV9S8Hzotx/hJxd+EAAAAAABAb5iYAAAAAAAAvWFiAgAAAAAA9IaJCQAAAAAA0BsmJgAAAAAAQG9I5cC+MBgMwtWMc0rJG9EqwMvLy6Hla6oru31qcS5K65faVaiOpp2UKkS76sduG9EK8y1Fjzva/1qmvLhq7tFtlI6hVeVqtw13DBsbG3Zdrh9E79UbbrghtPwk9j8pfr3dcbjK4i7JoNQ33HG4a+T6h9unubm5bHupMnurSvlurKupzF5KnMpxaTXRZ0vp2rnjcNtw/SOavuGuqeRTJVzfd+OHOwaXLFIS7bMXLlzItrskqOFwGN6naGqL6wfuXik95909XxrLc1xCitun0n3tji+aVhO9FjXPCnccboxw94tbzySmcpSed636k+PePWrOUzSRyfWnlvuU6x/X8v7JNyYAAAAAAEBvmJgAAAAAAAC9YWICAAAAAAD0hokJAAAAAADQGyYmAAAAAABAb0jlwL4wHA5DVf1bpVa03MY4KhlH92l9fX1Ee/KQ6D65auBSvPK8SxY5d+5caD37RbTav6vy3mp5KZ4eEa1aXUpXaCWaYLOysmJ/1iq9pGY9g8EgtHy0P0XvX8mnHLQ6T65/uKrmUl1qRkTNeXL3hUuhcO1uPTVJJMeOHQu133TTTdl2l75x9OjRbHvp/LnjiI5di4uL2faatI7z589n211yhUssuP/++7PtNf01+r7S6n7c71zCTI3Tp09n26PXwqVyuLSpUt84efJkaNut1PS/Vslm7llR8349jr+79I1vTAAAAAAAgN4wMQEAAAAAAHrDxAQAAAAAAOgNExMAAAAAAKA3TEwAAAAAAIDekMqBfSNSQXdjYyO8/tXV1dDy0SreNVXNHVeB2FXrbsmdJ1dN2J2npaWlbPvtt99ut33jjTdm2925PXHiRLb9ox/9aLb9vvvus9t23LVoVfHZGQ6H4c+4KtGu+nu0qnRpeZe+4e5VV0neLV9TzXptbS3b7q6dS3OJVrAvJZHUJJvkuGtaI3pu3fG59tK94s6HqyTv7ovoNSqNpdGkF5cS4e4X115KV3A/c9fO7ZNrX1hYsNt2XBLFYx7zmGy7S99w19oli5SunUuecf3Grcv1Wdde2if3s+g1ctxzsMQ919x95MZS1156VkTf31wqUvQ8lbbrfuaOwyXPdF2XbXdpZC55Q/JpEGfOnMm2l9Kgclwqh7umpX2KvktE+0DN+1ard3I3NpbOk+PGIdfH3TG4+7TVMUcTvLbjGxMAAAAAAKA3TEwAAAAAAIDeMDEBAAAAAAB6w8QEAAAAAADoDRMTAAAAAACgN6RyALsUrTzvqlb3yVXureGOz50nVxV+cXEx237bbbdl25/73OfafXrZy16WbXeVht/97ndn29/ylrdk2935c1Wu95ponx1Hyksrrnp5TWXsqEkcCyZRzXmKpmnUpLOMmhsbXWqAW96lULTcJ3f+XPvx48ftNlwygfuMq27vztMkjk81Ve9d6kiUO9/nz5/Ptp89e7bJdiXfN6OpMCUXLlwIf2bUXLrYU5/61Gz7S17ykmy7S+t44xvfaLd95513ZttdMobj0pJc/2iZ+NRKKbHIaZmUl1OTFBJNLxmH3HO7JvnwCr4xAQAAAAAAesPEBAAAAAAA6A0TEwAAAAAAoDdMTAAAAAAAgN4wMQEAAAAAAHrDxAQAAAAAAOgNcaHYFwaDwcijfaKi+1MTlTfq6KDp6Wn7MxfzNRwOQ9uIRpi6mC1J+vzP//xsu7sWLkIyGmFWiilz276WOKXdcBFf49hGTSSji/Zz58nFRI7juKP3ndtXd55ajmXRaLiS6BjljqMmus2JxoVGj6FlvGhNBGJfVlZWsu3umeCiPEuikaTu/Ll+NhgMwvsU5cYnt233fCzd8y5W0J2nVlHeLl5UkpaXl7Pt0XG59I4R5bYdbY/G9Ja46+rao5G48/PzdttHjhzJtrt3Ltdv3LV2SnGh0T7onl8XL14M7dM4uGvqjqEUFzrqiHG3r9HnqVvXtYy9fGMCAAAAAAD0hokJAAAAAADQGyYmAAAAAABAb5iYAAAAAAAAvWFiAgAAAAAA9GayYgyASlNTU6Hq6TUVb6OfqaluG9WyYnyOS0oocVXKXWVitw1Xdfns2bN229Fr9MlPfjLbfv78+Wy7S/HA7tT012h6SbRyejQVpoY7btdeM3a4+2vU1b3xSMePH8+2u8r6rt2tZ3Z2Ntteur/m5uZCn1lcXMy2u6QGt69uPZJPFIimb7hkh2hC1F7jrp271i4ZY2lpKbztaHJQ9FqUko/cmD2JqTduXL7//vuz7W9729uy7e4++tjHPma33Sq5IvrcLqW5PPOZz8y2uwSRT33qU9n2D3zgA9n20vthVDTRKpq+VZPyMurneau/U5QSR6762SZ7AAAAAAAAUIGJCQAAAAAA0BsmJgAAAAAAQG+YmAAAAAAAAL1hYgIAAAAAAPSGVA7sC8PhMFS9fzAYZNtLFWmjCRWueq6rKO0qi5dEEwtcVW5XHbhUGdtxlYndtl1175WVlWz7HXfcYbcdvUbveMc7su333HNPtj1apVnyxxetmB09tppElaiZmZnQ8qU+7irJR6tQRytdl6rLt6qA7e6jmqrp0Qrfrn0cKR7u3Lp2V1W/lJwS7edu2y4hwi3v+mvpM+743DV16RuuQv+NN95o9ymaDOP6jUtwcMd2ww032H1yx+GOu+YZOWncu0dJtMK9u3buGeyuQ2m77n5x187dp669tG333vP/s3fvcZaddZ3vv8+u6qp0V1ffO0knARNWkJuBoMIIQbkoh5s6DCqDeLyPjsCcEc9B8fiaGZ0ZHBjGmeHoy6OjopwcFVBnRjhchDBeAQ1BA4wJl2QlJCFJJ+mq7uqqSqequvZz/qiqUF1Zv6fq99Sz99pV+/N+vfqVrlVrr+uznrXy9Nq/r5WmZbHWnZPUZKWOLC4uNk63+tk777yzcbrV35w5c8bcJqutWefOur6sbbX6jksvvdTcpquuuqpx+kte8pLG6Vb6htXHfuELX2icnjqn1r3QmzxjsZ6JU+lbpZ7fvGk43mc6Ke//E1J4YwIAAAAAALSGgQkAAAAAANAaBiYAAAAAAEBrGJgAAAAAAACtYWACAAAAAAC0hlQO7ArdbtdVSTmn4m3JavU7RSqlxGKlaVisisj33HNP4/RU1WCrKrd17qx1TE1Nmesoxapib/Gei5zq717eVJgcOW3QI5WuUErJ4+Sthm+x+stUP2pV+LZSAKxttdq+1S+n0kus82elR1iV1q3jZ82fapfezxw8eLBxunVcrRSFyy+/3NymycnJxunWflv9rHW8rRSF1PXV62t7WFntz2o3JdMpLGfPnm2cPjs72zj9tttuM5d1//33u5ZlsVIRFhYWGqenngusz3iTZEomOFmJONb9yHu+rX481Q9ZiR1WP2T1gVafeezYscbpp06dMrfJ4k20SKVs7BQ5z0NNyTPeJKELPpv9SQAAAAAAgG3aEQMTIYSrQgg7P8AaAAAAAABcoLWBiRDC0RDCvwoh/GUI4bMhhN8KIZwwZv99SfMhhA+EEF7Zz+0EAAAAAAC900qNiRDCCyS9V9Lal4GCpK+T9ExJ37Bx/hjjc0IIl0t6taT/K4TwBkk/GGO8rz9bDAAAAAAAeqHvb0yEEJ4s6QOSbpH0FkldSVErgxPXhhAaK1bFGO+NMf5nSU+WdLukG0IIh/uz1QAAAAAAoBfaeGPiVyX99xjj90vS6psQP7L6uzrGOJ36cIzxnKTXhRD+i6TfkPQ9vdxY7BxWNeMmVhXqVPLG0tKSa3usdVjV0XMqYFvVt0vNnzoeVkV1b6V167haFY6titySdObMGdc6rGNuJYXksKpKe6sW96Pis7eCuFWJ3JJqf9Zx8vKeO+91nWJdL1Y6haWpyvUaK/XG2m+rcro3FUbqTwpLk1SlcKtNWdeLVf3dmt+b4pFitTXr3lWybfaa1e97+5QUb/vrRzJRP3j3w7q3WNOtc5S6l1vPN9b0o0ePNk63krRSfaB1rVopCqXuU6nnoZzPlJCTMGddR97nQ+scWc9hknTjjTc2Tr/99tsbp1vtw0rZyHmOtu6FVhKKda+1zoV1HZW8n1rtzPP/RZKdnpPSdJ/KuT+u6evARAjhiZK+SdL6WhL/TCtvQByX9CuOxf20pHtDCFfGGL9cbCMBAAAKG1tc1LEzMzo6c0ZHz8zo6MyMxpeWNLq8rCBpeWRE50dHNXvokM4cPaL5Sy/VzLFjOjc5Ke2S/8kGAMDS7zcmniXpz2OMjw7JxBgfkfQ274JijGdDCH8l6QWS3lVqAwEAAErodLt6/P0n9eQvf1knpqY2nXfP0pL2njuni++/X/r7WyRJD09O6u6nPEVfefKTtOR8Iw0AgJ2i3wMTV0j6SsHlfUUXvn0BAADQqr2PPKInf/nL+tq77tY+56vkG+2bndWTP/UpPfFv/1b3P+EJmrnuuZo/waMPAGB36ffAxKKkQwWXd0BSuS+DAwAA5IpRT7z7Hj37lls0VrguzMjysq647TZdcdtteuCZz9Q9L3qhumNjRdcBAEBb+j0w8QVJPx1CGIkx+ipybBBCGJF0naTri2wZAABApolz5/Tcz3xWVzz0kDnP9OSkTh0+pKmDh3Tq0EHNTkxo/9GjUgjqLC/ronPndGhqSoempnTk9GkdfPAhjTQUMLvk5pt16I47dMfLX6bZK6/s4V4BANAf/R6Y+EtJE5LeKulntrmsf6OVty/+YrsbheGTUynZWyHdWw03hzeBwJt8kJNOceDAAdf8ViVob7qHJE0Z3+H2Vsz2to+cbfXyblNORXpvGx9z/mttTnsqldZhKVk13dq/VIX5JjkJLKnkCs86UlXNrar3Fut4WOc0Z7+tNmut49Ah30ubWz2uz3j4YX3H1LT2NhyjR0LQTRMT+sT+Cd2/ds3MnFn5I+nIkYaU9LExjT/+8dp74oSueeiUvv7BB3Vow1dCxmdm9JR3v0e3PuEJ+vQ1X6c777zT3D5rv62+y0pROHy4OaX92LFjrvkl+16xnYruu5H3WcK6Jqy0hNOnTzdO9/ZbktGWZScTnTx5snH6pz/9aXMdd911V+N0K6nB6oe8969U2kROGkQTb4JYDuv6KrUO65ymeBNB+pFSZrUb65nBu005/4+Qk8LikdMGSm9TXwcmYowPhxB+VdLPhhCeKek/SfpYjHFLT8MhhFFJ3yrpJyW9RNI7YozNeS4AAAA99py5Ob16+rQ2hjEuhKAPHzygT+7frwVnPPCac3v26FOXndCnTlyq6swZfetdd+vIhgGKp95xh/Y98ohuuu656haM5wQAoJ/6/caEJL1F0rdLetHqn6UQwucl1ZJOSprVSi2KKGlc0qSkSyVdJempktaGOG+T9PN93XIAAIBV183O6dUN/+J82/i43n3kiKb2FHrMCkH14cO668ABvfz0aT2lvkPr34m68r77tOeTn9QnrrtOMXMQBACANvV9YCLGeC6E8DJJH5P0ZK0MNDx99c9m1u7Dd0p6WYxxrjdbCQAAYPuG+Xl994ZBiWVJf3z4kP5q/37FjK9Tbeb8yIhuuuYa3XXZZfqWT39aE+e++lrx5ffep2ff+Cnd+E3/QOrBugEA6KVWhtVjjPdJerakd0rqStrKHXRtnvdIelaM0f4yJQAAQI9csrSk752avuAhaknSO48d019OTvZkUGK9B48e1Ye/+Zs1s6EGxpV33aUn3nZbT9cNAEAvtPa+X4xxLsb4Y1p5U+LXJT2glcGHpj8PSfotSd8QY3xtjHG6na0GAADDrBOjXjs1rfUlv5Yl/fbxY7plX2+Lta43v2+fPvq86zS7b98F05/+2c9pYpYXSgEAO0vrX0SMMd4aY3x9jPEySVdLermk75P0v67+/WtjjJfGGH88xnhzm9sKAACG2wtnZ3XlhsSC9xw5olt7nCDT5OG9e3XDdc/V4rqq9qPLy3r2pz4lOVNUAABoUxvFL00xxjsk3dH2dmD3GzEql6eiA7vdbuN0b5yhFcHljUvKYUUBWZFxqdg2K2prfr45KMdahzfmcG7O/y+BVgTXwobq9mu85yIn0tJqT1ZElbWt1nFNRaFZ6/BGRXnjRVOxUtZ14Y09tY6rJSeyy/qM1a+UjOm1+qjZ2dnG6VZbzolbsz5jba91vktGtFr7Zx0P735vjCC8XNLLFC6o4XBTp6MPPjwvnVu5frwxizMzM43T9214E2JN03W357LL9B133/3ozxc/9JAu+bu/0+euuEKS9MADDzQuy+o/Lr744sbpl1xySeN065pIXY/WZ7zRptZ15423lfz9R5ustmy1faudnT17tnH6fffdZ67bGwVs3Y/uuKP5kf+2xNeRrM9Y98hSUvfHknGepZSKQ8+5R1pK9f3Ws0c/otst3jh077NvirXf3uOd81zQdJ/Piatf0/obEwAAADvB9yhoz7qHrllJvz22p/Vik585ekRfPnLkgmnP/vJdGtlB/6MNABhuDEwAAABs4qCk6zZMu37PHs0MQgJGCPrTJ32tFte9PbBvaUnVQw+1uFEAAGzdQHyVI4RwUNK3SHqqpOOSlmOMb173+7dKOizpo5I+GGPs7ftaAAAA63yrdMHbEidD0CdHBuffd+Yuuki3nrhU137l3kenPf3ee/Ul4+sXAAAMklbvqCGEbw0h/A9JpyT9saR/J+mnJL0phHBi3awfWJ3nrZJuDyF8T983FgAADKWOpJduSDb/2MhIz2NBvf7nZZdd8PNlM2d1LKMuDwAA/dbKwEQIYW8I4Y+18gbECySNSI/e8df++2g1jRjjJ2KM/yLG+CRJPy3p/w4h/EL/thgAAAyrJ0m6eN0gxKKkvxxtLrrYptMTE7pnQ/HIrzUKXwIAMEj6/lWOEMKkpBskPUvSxn9q2PSfHmKM7wkhfE7SJ0IIt8YY/6AHmwk8hlVtulQV4JxquF7Wtubsg1Xt15vUYFVUt+RUv7aq25fircacUjKxoNe8x9XbNqTeVxD3tr9+yEl56XSa/53BWz2/pFJt2UppkNJJL01yr9WrRkelsa+mFN0Yox40ltWPhKWUW0+c0OPOnHn050vPNqc0pFjHyVvpP5VQYv2uVHKVdU2keNdRMrHAyzpH1vGzUitOnz7dOH16etpc95l17Ws9qx1Y920rKeTkyZPmuq3kL28ajlfq2aNUX9ePVAnvtnr72Bze57p+bJO3r/M+S+ykZ72UpnN34MCB7OW1cff8j5Kevfr3+yR9RNJNWokJPSnpnKRPpxYQY7w1hPBTkt4eQvjDmJMJBQAAsAVP7Fz40PlFDe5jx8mDFz4UHp+dlWJsPTkEAICUvg5MhBAukfRDku6R9JMxxj825ttKvtX1kt4i6TmSPllqGwEAANa7esO/vtctbcdWzFx0kR4ZHdVFq2/hjS8v6+C5c5rp8ZtjAABsR79rTLxAK1/NfJ41KLFVMcaupL+U9IwC2wUAAPAYeyU9bt3ARDdG3dne5mwuBD04uf+CSRfP+r/OAQBAP/V7YOLxWon7vKfQ8uap7aPyAAAgAElEQVS1Ei0OAABQ3NENX4F4IEYN+reDpycmLvh5v1FfAACAQdHvgYkoqeTd8QmSmqv2AAAAbNPYhrrc5Urd9s7ShkJsI93BrYkBAIDU/+KXtaQ3hhDGYozbKp8bQrhK0jdLenuRLcOOV6K6fqoisrV8qzqwVfXeqqSdUy3eW5nYmt+qLJ6TgGEta9Z4lbgfVaitNAjreFjbmsO7f1ZVeCu1xarsnFMt3rut1jVRMuWl11Xvc6p793qbUuklVvvw9n85KUDWZ6xjWKr6e2o51mdKJeWcP39e2lD4cjlGLSWOn3WO9u/f3zjdmn87lee7G97yGB/puK7Lubm5xumnTp1ybUdqnePj443TrXun1cat9A2rLnrqWul2t1LirL+s/sDqh7zn7sEHH3QtJ/U7K2XDepawkkJSCRvW8eh1KkeqX7Z+Z00vlRSW6hu9z2/WNlnXcE4ym7ctW+u2+kZreiptx7pXWNvqvdday89JDbL2zzpOoWDBY+t85+xHSr/fmPgzSUckvTOEkD0oEkI4IumPJC1J+otC2wYAAHCBpQ0JHO2GgW7Nxjcklgs/PAIAUFpf71QxxjOSfkPS90n6bAjhe0MIzUPmDUIIR0IIb5R0q6RrJf1+jHHQv+oJAAB2qIUN//A+uQNiN8fPX/ivfec723+jEACAXmpj4P9fSHqhpGsk/a6kcyGEv5b0PyXdJWlO0pikfxxCmNfKGxZXSXrm6mc6koKkGUn/su9bDwAAhsZDsavFGDW2OiBxrNPRQa08hAyq47MXvmp/doKoUADAYOv7wESMcS6E8CKtfAXjqZL2SXrR6p/13rbh5/X/RLEo6ZUxxpM921AAADD0liTd2V3Wk0a++sh0dejob+Pg1SOQpE63q2PzFw5MPHTgQEtbAwDA1rTypcMY45Sk52nlax1dXTjoENb9d/30tZcpvyzpBTFGaksAAICeu21DcbarB/jrHEfm5zW6rsbE3NiYzvWhyDAAANvRWg2n1XoTPxFC+C+S3izpOyStlWJuGqj4oqRfk/TOGON83zYUyFQyfaOUnJQNL28ig7dyf076incdvd6HfuhHyks/lKosbunHufOei1QF8d3Muu76kdxjWVv3nRuKR147Oqr3j4y1sUlme1pLubhkQ/rCyYmJnm+T5fRpO9G9dDX3jcbG/OenRLpXipVCkTI/3/zI6026sOa3ztGZM2fMbbLSN6zpVtrJIN47d7tS6RtWe0qlVlnL8vb93nSKVNKatU1WOlApOX1Br+Xsc+k0nNaffmKMN0t6TQhhTNKzJT1Z0rHVX5+WdFLSjXxtAwAAtOGWDSkXT5d0aYw6OWhvTsSoax944IJJX5lsjikFAGCQtD4wsSbGuCjp46t/AAAABsI9ivp8t6unrPtX/v8lRl0/YAMTjz97VkfPffVfAJdD0C3Hj2vw3oUCAOBCBFsDAABs4oPdC19RflGUxmI05m7HtScvfFvitiOHNZ/xlQYAAPqttYGJEML+EMKJEMLR1a9xAAAADKSPd7uaWTcQsV/SqwZoYOLys7N60vT0BdNuvuTSlrYGAACfvgxMhBAuDyH8eAjhD0IIt4YQFrQSAf4VSQ9KOhdCOBVC+HgI4R0hhJeHEMb7sW0AAACbWZL00Q1vTfyjKFUDMDixp9vVy+r6gsrhD+3dq3sOTLa2TQAAePS0xkQI4VskvUnSy/TVQRDrC5lHJD1n9c//JulMCOF6Se+IMd7Vy+3EzhdCaKzS662Gn1ORNlW52rOOnArl3s8sLS251+EVnQ/p3vnPnz/vml/yV1q35rcqPve6krtkVzW3eI+rlK6m3cSqxmxNz0mb8CaFeNt4r5MBJP+5yzlOOee71+vwpmlY86f6Ze/59lYQ33jufl/Si/ZN6OhquxmR9Prlrt64fF6b9UxWW7aqs1vtpqkPfNXMWR3ZUF3+Q5deqvnVyvnePs2q3G8tZ25ubsvbusaq6m/tdzDqeVjrsK6jVHLPhJFgYu23tW6rL7WeSVLt0vqMlTRgnQurnVl9YKpvtPbPauPec5RinT/vs0HJ56G2EoVS++xNpbHSKazpVvtIPUdYx2Ny0jeAaq3DSrBJ3bvW0oy2qtT/V3iftyT7evG2/Zz/D7H6xqZlbeeZuCdPZCGEy0II/1XSn0l6hVbu3WH1T0z80br5Dkv655I+H0J4WwiBEG4AANCaOUn/eeHCB/WvCUH/pA8DXJanPfKIXrjhgfymI0d0B2kcAIAdpPidNITwbZJulvRKffXtiPWDD2GTPxsHKi6S9NOSbgohPKX09gIAAGzVjcvL+h8b/lX/FZ0RvbaFwYmrFxb0T6ZPX/Awd3rPHn30BLUlAAA7S9GvcoQQXinpPdIFyVRrgxOPSKolfUnSlFb+4WFOKwMPB1f/HJH0NEkn1n1+bYDiaZI+HkJ4WYzxUyW3GwAAYKt+s7usZ4SgY+u+XvC9nRHtkfT/OL+6k+spjyzox09Pa/0L211J77viCi324etlAACUVGxgIoTwbEnvXV3m2p36ryR9UNJHY4yfcSzrmKRnSnqeVt68uGb1V4clfSSE8KwY4+2lth0AAGCr5iX96+XzeuvIqPavG5z47s6ILlPQr3WX5as+tHWdGPXiuXm9fHb2MQ9xH7r8Mt3JVzgAADtQkfcOQwgTkv5QK29KLEv6dUlfF2N8fozx7Z5BCUmKMZ6KMd4QY/z5GOMzJF0n6UOrvz4o6b+HEHwV0QAAAAr5sqRfWF7WwxsKqz2309GvjozqeUaxxu24fHlZbzo1pe9sGJS44dJLddPRo8XXCQBAP5R6Y+JnJT1O0i2S/nGM8dZCy5UkxRj/WtK3hxC+U9LvSHqqVupO/LuS6wF2GqtassWqat6mXletlnqfRpKzD9PT0675vekUOdvkXUdOVelBk5PE463KPYhy9iGngr7HIG6TdR3t37/yVsK9kt7S7epnF5d0YN3vD4SgN4+M6qV7RvUn4+P64uiozhn9tZWisN7F3agXLy/rJcvLarpK/+DgAd1y8fFNl7NV1n5byQ45aUlWv2xdk9a5thIt1s6Rh7dCv8VKHLFSvKzjKtlJAzMzM43TrevIuud4k8Uk//3F2gdrunX8Up9Jpa00sY5fSd77S8511Gvec93rPlnyP/t6n236IefZw3tsrWd+q4/IOXfe9JfNbLv1hBD2SfpJSZ+T9IIYY6/eXlSM8f0hhG/SyldEfiaE8I4Yo917AQAA9NCdnY5+fmyP3rB0XldveHviGUvn9Yyl87q309FHOx19cqSjuS0OEO+JUV/X7erFy109o9ttfMV1ttPRuw8e1Gf3XqRjBfYFAIC2lBjWepVWCli+upeDEmtijLeFEP6RpI9LerWkd/V6nQAAAJaTq4MT3768rO8+/9i3Gi7vdvXD3a5++Lz0QJDuDB3d2Qk6GYJmQlCUNCbpsIKuDkFVCPqahcXkQ9rfXXSR3nvwgOYodAkA2AVKDEy8SNJ7Y4xfKrCsLYkx/nUI4Q8lvVQMTAAAgJZ1Q9D7R0d1y759+uH5h1UZX3W6JEqXxK6+aS28Y8T3KHa209EfHDygmzNeBQYAYFCVGJi4Vu3UenivpP/QwnoBAAAa3Tcyol+c3K8nnz+vFy4s6uuXllTinYY6BH10ZERfPH5MSwNYLwgAgO0oMTBxXNIXCizH6xZJF7ewXgAAAFsI+sKePfrCnj061O3q+QsLesbCoh4Xo2uQ4iFJfz/S0cdGRnRHZ6XKxBEGJQAAu1CJgYkJSWcLLMdrenXdAAAAA+lMp6P37d2r92iloOXjY9QTulFXxq72R2nk/Hl1JC1IekTS3THqdkWd3LdPswxCAACGRImBibbumnHzWTAsQggaaSgAZsWF5cQcNi0/tQ4rzsiKSOtH9KI3iqofsU/eKM+ciKVex4XmHCcr2iwVk7bTpSK+rEiyXsd85cSzWdtk7V+3222cXjIq12qD1jZZ/U1qm2L03Xa9x9aaP9VuJicnG6db+2FFm3mPkxVRKUkHDx5snL60tKQo6a7VP2vMa97ot6x1p/o5az+s6VaEqRWnad0fUxGw1r3z9OnT5meaWNs6MdH8b1fHjtn5JZ1OU/aJvSyL1Z7Onm3+d7xUZKz1O+vYWsfPe05TEabW/lkRnFbEp7UP1vySfb1YbbBNpeI/vfGYJZXqx0t/ZhhZx8m633n/vyKnnTXdj3Kimtc098AAAAAAAAB9wMAEAAAAAABoDQMTAAAAAACgNQxMAAAAAACA1pQamGijACalqgEAAAAA2OFKldx/bQjh3ZKaS4+XFyR9V5/WhR2g2+26qsn2utL/oPImWvQ6zWJQeZMxBrEa+CBKJT5YbXM3p5SUZPV/bVZzL5k6YkmlPjSxUjlKshIF2mzLZ86caZxunSMrnaIkq2K81Watc231HUePHm2cnmoDBw4caJxuJaFY2zQ9Pd04/cEHH2ycnkoiOXXqVOP0VGrGMEoleTTx9h39uCa8/XhOIpj3nuB9DhzE52vvuZbyEuA8crbJy0rxsNY9COeu1MDEW1b/AAAAAAAAbFmpgQmpna9W+ELVAQAAAADAQCk5MNHvQQJqTAAAAAAAsMOVGpjoSrpP/a0xcZkkvtgNAAAAAMAOVmpg4jtjjB8utKwtCSE8X9Kf9nOdAAAAAACgrFIDE7cUWo7H37ewTgyoGKNZNbtJt+t/uWd8fNz9GY+SyQ5W1eUQev8NKG+V6EFM/rDOtVVF3pqeYp3vffv2NU73HqecCuJW+7CqU3uvI6vivWRXVLfak1VV2nsu9u/f75pfkubm5lzze9uN1QZS2kzfKCWnCrrVDqzrxdtmreWk+mvPvUjyt1krwSG1TRMTE43TrWQH6zgdPHhwk63bOmsd1jadPXu2cfrhw4cbp1vpG6nK84cOHXJ9xtrWmZmZxuknT55snG6lpkh2mkupPtDq9/uR+mHtm5VqkuK9f3nvLTm8x9C6Jqz7eT+e6bxynoe8rP7Mkkq9sVh9v9VuvIkWqfmtNuh9vrZSOazpKZ7783baZYnsGwpQAgAAAACALCUGJtocrhu8oUIAAAAAALBlJQYmvl1S87tpvTUj6YUtrBcAAAAAABSy7RoTMcZPlNiQjPWel/QXbawbAAAAAACUUeKNCQAAAAAAgCylUjmAVnU6HVfF2JwkCG+lZm+1/5wUBa+cNJJBU7Jidik5iQjeqtKDyJuiYCVvSOWSZKwq75acNBzvOqwkg5wUCsBqf952mWJVjL/oootc86d4+/JUqk8Tq09JrddK3LESPmZnZxunWykAVvpGKpXDSjmwEh+8FfetFJmcVA7vMS/ZZq3+1LrXetNzcp49vM8GVjtrk/c+1Y80F+9xzbnXetNFrL7RkvM8PogpdqXxxgQAAAAAAGgNAxMAAAAAAKA1DEwAAAAAAIDWMDABAAAAAABaw8AEAAAAAABoDakcwDZZ1X69FX1zqppb69i3b1/j9H5US/byHqeSVYm9VZQto6P+rtS7H972kZPyUiolIqd6udUOen2ccq67yclJ92eaWMepZFpHqTYu+Y+V99x50wT6wdrnVL+Vk/TiYa17ZmbG/IxV7d+6V5RKSxgfHzd/ZyVaeHmvl1R/ferUqcbp1nGyruEHH3ywcbqV+pHaJis9wrperPZhbat1nU5PT5vb5L1WrfZkHdfU8fC2TSsNyrq2rW1K9X/WsfU+35TsO6z98CZdWefaSsbIuad6WYkW1nlItSfvM7y139a9tuTzuHVsrf2znlWs+XOe3ZqW5W1j6/HGBAAAAAAAaA0DExhIVVU9v6qq7297OwAAAAAAvcXABAZOVVV7JX1I0vVVVT2v7e0BAAAAAPQONSaGWFVVHUmvlPQaSVdIukrSmKT7Jf2NpD+S9JG6rmOBdX2bpBsk/XBd1+/aZPZJSWtfyrpsu+sGAAAAAAwu3pgYUlVVXS3pI5KeKOl1dV0/t67rE5K+UdKfSPphSR+W9PGqqp66zXXtl/Sbjo88JGmtuszd21k3AAAAAGCw8cbEEKqq6oSk/ybpB+u6vnn97+q6vlPSm6qqulnS70p6rqRPVFV1XV3Xt2au8m2SrtzqzHVdx6qq7pL0JEl3buUz3W7XVU02J0Wh16xKvyneqve9rhYv5VX1HTTeJIOcNAGr0vpOYp3rnLZsVVr3VvgumULRlpxrqB+V0L3b5e1nS1UE3+281d8lO5mg11LXo7cPPHPmTON0K/kjlQhisSr0Hzp0qHH66dOnG6db25rTxq3+1JpunWsrBcDapqmpKXObvP1Nqm2WWL6Ud9/xmJiY6OnypcFMJvLqxz3Ym8ySSu6xttebLOFtf/14Hvc6cuSI+TvP856VmrIVvDExnN4h6Xc2DkqsV9f170l63+qPhyR9oKoqd29TVdU3S3p9xjbeIWm+rusHMj4LAAAAANghGJgYMqtvS3yXVuo9bOa31/39Kkk/6FzXXknvlJQTaHuHtvi2BAAAAABg52JgYvhcI2lE0uO3MO+nN/z8Cue6/q2ky52fWXPH6h8AAAAAwC7GwMTwObD63+urqnpbVVXPSsx7asPPV291JVVVPVvSGyX9nHP71nxUvoKZAAAAAIAdiIGJ4VOv/veopDdLurGqqtcZ805u+HlLsaFVVY1p5WsgN0r6layNrOu/r+v6AzmfBQAAAADsHAxMDJ/PSFpf9DJI+glj3o1fw/j8FtfxL7XydsWP1nWdX5oVAAAAALDrDV/O1pBbjeL8EUkflnTp6uS/NWb/tg0/X7/Z8quqeoZW3sT4V3VdfyF7Q51CCK7onRi39PLHBazlW5Fn3rirsbEx9zZ5dTq+scicaLPtxAStZ0U4pY6rFddkRXBZkVNWBKG1TTn77D3fJWPErP3wxl1Z7SknwvHAgQON05eXl13LsdqHda5zYlu917Z3/tS57nUkXkqpc2Htgzf+OIfVziw5faB1fVmRdd72YZ0Hb4ReinVtW8fDmn78+HFzHd4IU+u+bUVzWnF/qWt+cnLji6IrrD7e2z6sc2f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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "image/png": { + "height": 503, + "width": 531 + }, + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "from astropy.wcs import WCS\n", - "\n", "hdu = fits.open(dss_cutout_filename)[0]\n", "wcs = WCS(hdu.header)\n", "\n", @@ -216,25 +649,106 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The bright star (as observed by DSS) is our target, and the red circle is where *Gaia* observed this star: It has moved! But, we can account for this, and predict the position of the star at around the time the DSS plate was observed (let's assume it was exactly 1950 - this is not strictly correct, but should be good enough).\n", + "The brighest star (as observed by DSS) in this image is our target, and the red circle is where *Gaia* observed this star. As we excpected, it has moved quite a bit since the 1950's! We can account for this motion and predict the position of the star at around the time the DSS plate was observed. Let's assume that this plate was observed in 1950 exactly (this is not strictly correct, but should get us close enough).\n", "\n", - "To account for the proper motion of the source and evolve the position to a new time, we can use the `SkyCoord.apply_space_motion()` method ([docs](http://docs.astropy.org/en/latest/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord.apply_space_motion)):" + "To account for the proper motion of the source and evolve the position to a new time, we can use the `SkyCoord.apply_space_motion()` method ([docs](http://docs.astropy.org/en/latest/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord.apply_space_motion)). Because we defined the `obstime` when we defined the coordinate object for HD 219829, for example:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2020-11-18T14:51:20.276394Z", + "start_time": "2020-11-18T14:51:20.272863Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "