{"cells":[{"cell_type":"markdown","id":"a5461ce4","metadata":{"id":"a5461ce4"},"source":["**CRIB SHEET RULES OF THE ROAD:**\n","\n","This crib sheet is provided to support access, utilization, and plotting of UCalgary optical datasets and models. It is intended as a base set of code that a user may edit and manipulate to serve their own needs.  Crib sheets contains UCalgary verified and validated procedures for plotting and manipulating UCalgary ASI data and models for common use cases.  Use of this crib sheet does not require acknowledgment, it is freely distributed for scientific use. Please also remember to perform due diligence on all data use.  We recommend comparison with verified data products on [data.phys.ucalgary.ca](https://data.phys.ucalgary.ca) to ensure that any user output does not contradict operational summary plots.  Data use must be acknowledged according to the information available for each data set - please see [data.phys.ucalgary.ca](https://data.phys.ucalgary.ca).  If you encounter any issues with the data or the crib sheet, please contact the UCalgary team for support (Emma Spanswick, elspansw@ucalgary.ca). Copyright © University of Calgary."]},{"cell_type":"markdown","id":"8c2788de-3015-4122-a9fb-928d4272e914","metadata":{"id":"8c2788de-3015-4122-a9fb-928d4272e914"},"source":["---\n","# **TREx Auroral Transport Model**\n","---\n","\n","TREx-ATM is a time-dependent Aurora Transport Model (ATM), designed to leverage and support TREx optical data. TREx-ATM uses the two-stream electron transport code embedded in the GLOW model (Solomon et al., 1988) with ambipolar diffusion to compute the electron transport. It has additional capacity to compute impact ionization, secondary electron production, and impact excitation of neutrals (height resolved). Use of the TREx-ATM model should cite:\n","\n","*Liang, J., Donovan, E., Jackel, B., Spanswick, E., & Gillies, M. (2016). On the 630nmred-linepulsating aurora: Red-line emission geospace observatory observations and model simulations. Journal of Geophysical Research: Space Physics, 121, 7988–8012. https://doi.org/10.1002/2016JA022901*\n","\n","*Liang, J., Yang, B., Donovan, E., Burchill, J., & Knudsen, D. (2017). Ionospheric electron heating associated with pulsating auroras: A Swarm survey and model simulation. Journal of Geophysical Research: Space Physics, 122, 8781–8807. https://doi.org/10.1002/2017JA024127*\n","\n","\n","### **Crib Sheet Summary**\n","Below are examples of using PyAuroraX to perform a TREx Auroral Transport Model (ATM), forward and inverse calculations.\n","\n","\n","</br>\n","\n","---\n","\n","</br>\n","\n"]},{"cell_type":"markdown","id":"f131a71f","metadata":{"id":"f131a71f"},"source":["## **Install dependencies**\n","\n","Here we'll install [PyAuroraX](https://github.com/aurorax-space/pyaurorax), and import it.\n","\n","Some helpful links:\n","  - [PyAuroraX documentation](https://docs.aurorax.space/code/overview)\n","  - [PyAuroraX API Reference](https://docs.aurorax.space/code/pyaurorax_api_reference/pyaurorax)\n","  - [Jupyter notebook examples](https://github.com/aurorax-space/pyaurorax/tree/main/examples/notebooks)"]},{"cell_type":"code","execution_count":null,"id":"d45a06d5","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":69497,"status":"ok","timestamp":1718816242480,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"d45a06d5","outputId":"a50befad-12a0-492e-8652-52809dfe7c17"},"outputs":[{"name":"stdout","output_type":"stream","text":["Looking in indexes: https://test.pypi.org/pypi/, https://pypi.org/simple\n","Collecting pyaurorax==1.0.0-rc1\n","  Downloading https://test-files.pythonhosted.org/packages/1b/6a/7032956187fa0b6c7bdbc4c2de8b0e1d70a130947ac2acc13083cc380065/pyaurorax-1.0.0rc1-py3-none-any.whl (193 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.3/193.3 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting aacgmv2<3.0.0,>=2.6.2 (from 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Created wheel for aacgmv2: filename=aacgmv2-2.6.3-cp310-cp310-linux_x86_64.whl size=1679866 sha256=5ea639defcbaf902047c3134f009a83a4708413d0ff24f13632341d99f6584b3\n","  Stored in directory: /root/.cache/pip/wheels/e9/d6/3f/10a359ebb903b2dbe5aa94f7024b5284059bb0daef65a7a0b4\n","Successfully built aacgmv2\n","Installing collected packages: texttable, numpy, aacgmv2, pyucalgarysrs, matplotlib, cartopy, pyaurorax\n","  Attempting uninstall: numpy\n","    Found existing installation: numpy 1.25.2\n","    Uninstalling numpy-1.25.2:\n","      Successfully uninstalled numpy-1.25.2\n","  Attempting uninstall: matplotlib\n","    Found existing installation: matplotlib 3.7.1\n","    Uninstalling matplotlib-3.7.1:\n","      Successfully uninstalled matplotlib-3.7.1\n","Successfully installed aacgmv2-2.6.3 cartopy-0.23.0 matplotlib-3.9.0 numpy-1.26.4 pyaurorax-1.0.0rc1 pyucalgarysrs-1.0.4 texttable-1.7.0\n"]}],"source":["!pip install pyaurorax"]},{"cell_type":"code","execution_count":null,"id":"612eb219-1ad9-45b1-b9cc-d749daa5b849","metadata":{"id":"612eb219-1ad9-45b1-b9cc-d749daa5b849"},"outputs":[],"source":["import datetime\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import pyaurorax\n","\n","aurorax = pyaurorax.PyAuroraX()"]},{"cell_type":"markdown","id":"f43c6018-a86e-483a-ae6b-d6c7d4dc60e9","metadata":{"id":"f43c6018-a86e-483a-ae6b-d6c7d4dc60e9"},"source":["## **Forward Calculations**"]},{"cell_type":"markdown","id":"15ad7484-dee6-4a0e-a222-1ed03496f591","metadata":{"id":"15ad7484-dee6-4a0e-a222-1ed03496f591"},"source":["### **Perform a basic 'forward' calculation**\n","\n","First will show how to do a basic request, and plot the results. Later on, we'll show how to do a request by supplying a custom spectrum.\n","\n","Requests take a series of input parameters. Some parameters are required, and some are optional with default values that will be set if they are not supplied. The following request we'll be performing utilizes all default values for the optional parameter (marked as such with a comment on that line).\n","\n","More details on inputs and outputs [in the `forward()` function documentation](https://docs.aurorax.space/code/pyaurorax_api_reference/pyaurorax/models/atm/index.html#pyaurorax.models.atm.ATMManager.forward).\n","\n","<small>\n","Input notes:\n","\n","- latitude and longitude are to be in geodetic coordinates (-90 to 90 lat, -180 to 180 lon)\n","- maxwellian_characteristic_energy must be specified if the maxwellian_energy_flux is not 0\n","- gaussian_peak_energy must be specified if the gaussian_energy_flux is not 0\n","- gaussian_spectral_width must be specified if the gaussian_energy_flux is not 0\n","- valid values for nrlmsis_model_version are '00' and '2.0'\n","- units\n","  - timescale parameters: seconds\n","  - maxwellian energy flux: erg/cm2/s\n","  - maxwellian characteristic energy: eV\n","  - gaussian energy flux: erg/cm2/s\n","  - gaussian peak energy: eV\n","  - gaussian spectral width: eV\n","  - custom spectrum\n","    - energy in eV, flux in 1/cm2/sr/eV\n","    - energy and flux arrays must be the same length\n","</small>\n","\n","<small>\n","Output notes:\n","\n","- output parameter of the request are toggles the enable/disable each field's inclusion in the response\n","- all output parameters are false by default\n","- altitude is in kilometers\n","- emission data: 1-D array -- volume emission rate (1/cm^3/s)\n","- plasma electron density: 1-D array -- density (cm^-3)\n","- plasma O2+ density: 1-D array -- density (cm^-3)\n","- plasma NO+ density: 1-D array -- density (cm^-3)\n","- plasma O+ density: 1-D array -- density (cm^-3)\n","- plasma ionisation rate: 1-D array -- ionisation rate (1/cm^3/s)\n","- plasma electron temperature: 1-D array -- temperature (K)\n","- plasma ion temperature: 1-D array -- temperature (K)\n","- plasma peterson conductivity: 1-D array -- conductivity (S/m)\n","- plasma hall conductivity: 1-D array -- conductivity (S/m)\n","- neutral O2 density: 1-D array -- density (cm^-3)\n","- neutral O density: 1-D array -- density (cm^-3)\n","- neutral N2 density: 1-D array -- density (cm^-3)\n","- neutral N density: 1-D array -- density (cm^-3)\n","- neutral temperature: 1-D array -- temperature (K)\n","</small>"]},{"cell_type":"markdown","id":"757c001b","metadata":{"id":"757c001b"},"source":["ATM requests require that users toggle ON outputs they wish to have returned. This allows you to get back only what you want. This mechanism is controlled by the `ATMForwardOutputFlags()` class that must be instantiated before making an ATM calculation.\n","\n","As part of this class, there are helper functions that toggle ON or OFF all outputs, and toggle on common groups."]},{"cell_type":"code","execution_count":null,"id":"cbed366b-921d-4408-add4-1494e7714a3d","metadata":{"id":"cbed366b-921d-4408-add4-1494e7714a3d"},"outputs":[],"source":["# set up our request\n","#\n","# all output parameters are default to False. Here we initialize\n","# the output flags we want to get\n","output = pyaurorax.models.ATMForwardOutputFlags()  # initialize output flags, all will be False by default\n","output.enable_only_height_integrated_rayleighs()   # enable all height-integrated Rayleighs values\n","output.altitudes = True                            # enable altitudes\n","output.emission_5577 = True                        # enable the 5577nm emission\n","\n","# set the location (Calgary-ish)\n","#\n","# NOTE: ATM forward calculations can be performed\n","# for any latitude or longitude\n","latitude = 51.04\n","longitude = -114.5\n","\n","# set the timestamp to UT06 of the previous day\n","#\n","# NOTE: ATM forward calculations can be performed for any date up\n","# to the end of the previous day. It is expected to be in UTC time,\n","# and any timezone data will be ignored.\n","timestamp = datetime.datetime.now().replace(hour=6, minute=0, second=0, microsecond=0) - datetime.timedelta(days=1)"]},{"cell_type":"code","execution_count":null,"id":"aaaa2706-5717-45a4-bc89-b8fda5aee8c7","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":421,"status":"ok","timestamp":1718817274793,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"aaaa2706-5717-45a4-bc89-b8fda5aee8c7","outputId":"7f3de663-79c7-4585-e173-a31b5957ef75"},"outputs":[{"name":"stdout","output_type":"stream","text":["ATMForwardResult:\n","  altitudes                            : array([ 80. ,  81. ,  82. ,  83. ,  84. ,  85. ,  86. ,  87. ...])\n","  emission_1304                        : None\n","  emission_1356                        : None\n","  emission_4278                        : None\n","  emission_5577                        : array([9.72542875e-06, 4.63875076e-05, 4.47856582e-04, 4.463 ...])\n","  emission_6300                        : None\n","  emission_8446                        : None\n","  emission_lbh                         : None\n","  height_integrated_rayleighs_1304     : 1283.141350\n","  height_integrated_rayleighs_1356     : 218.736472\n","  height_integrated_rayleighs_4278     : 2765.693660\n","  height_integrated_rayleighs_5577     : 16642.590201\n","  height_integrated_rayleighs_6300     : 379.060374\n","  height_integrated_rayleighs_8446     : 476.980016\n","  height_integrated_rayleighs_lbh      : 15218.480492\n","  neutral_n2_density                   : None\n","  neutral_n_density                    : None\n","  neutral_o2_density                   : None\n","  neutral_o_density                    : None\n","  neutral_temperature                  : None\n","  plasma_electron_density              : None\n","  plasma_electron_temperature          : None\n","  plasma_hall_conductivity             : None\n","  plasma_ion_temperature               : None\n","  plasma_ionisation_rate               : None\n","  plasma_noplus_density                : None\n","  plasma_o2plus_density                : None\n","  plasma_oplus_density                 : None\n","  plasma_pederson_conductivity         : None\n","  request_info                         : ATMForwardResultRequestInfo(...)\n"]}],"source":["# perform the calculation\n","result = aurorax.models.atm.forward(timestamp, latitude, longitude, output)\n","\n","# view the output\n","#\n","# we use handy print method for the results\n","result.pretty_print()"]},{"cell_type":"markdown","id":"c374b319","metadata":{"id":"c374b319"},"source":["Let's have a closer look at some of the results."]},{"cell_type":"code","execution_count":null,"id":"5cbd8ef5-b6f2-4426-a7ad-4295a9afb04b","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":267,"status":"ok","timestamp":1718817275059,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"5cbd8ef5-b6f2-4426-a7ad-4295a9afb04b","outputId":"bd5299c1-6a14-4960-a5a2-a12dd54d2ee4"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot the 557.7nm emission data\n","plt.title(\"557.7nm emission\")\n","plt.xlabel(\"Volume emission rate (1/cm^3/s)\")\n","plt.ylabel(\"Altitude (km)\")\n","plt.plot(result.emission_5577, result.altitudes)\n","plt.show()"]},{"cell_type":"markdown","id":"0d12f5c0-8cc6-47e2-bdaf-c00c8748ef93","metadata":{"id":"0d12f5c0-8cc6-47e2-bdaf-c00c8748ef93"},"source":["### **Perform a request by supplying a custom spectrum**\n","\n","You can also perform requests by supplying a custom spectrum. Below, we'll do this using some example spectrum data. Note that the energy and flux arrays must be the same length, and energy and flux values are to be floats in eV and 1/cm2/sr/eV, respectively."]},{"cell_type":"code","execution_count":null,"id":"dbe56fea-3383-47c9-a7cd-0c720c99b9f0","metadata":{"id":"dbe56fea-3383-47c9-a7cd-0c720c99b9f0"},"outputs":[],"source":["# two arrays that we'll merge into a Nx2 numpy array, representing energy and flux.\n","custom_spectrum_energy = [\n","    1.25000, 1.75000, 2.25000, 2.75000, 3.25000, 3.75000, 4.25000, 4.75000, 5.25000, 5.75000, 6.25000, 6.75000, 7.25000, 7.75000,\n","    8.25000, 8.75000, 9.25000, 9.75000, 10.2500, 10.7616, 11.3058, 11.8854, 12.4948, 13.1354, 13.8089, 14.5169, 15.2612, 16.0436,\n","    16.8662, 17.7310, 18.6401, 19.5957, 20.6004, 21.6566, 22.7670, 23.9343, 25.1614, 26.4515, 27.8077, 29.2334, 30.7322, 32.3079,\n","    33.9644, 35.7058, 37.5365, 39.4610, 41.4842, 43.6111, 45.8471, 48.1978, 50.6689, 53.2668, 55.9978, 58.8689, 61.8871, 65.0602,\n","    68.3959, 71.9026, 75.5891, 79.4647, 83.5389, 87.8221, 92.3248, 97.0584, 102.035, 107.266, 112.766, 118.547, 124.625, 131.015,\n","    137.732, 144.794, 152.218, 160.022, 168.227, 176.852, 185.919, 195.452, 205.473, 216.007, 227.082, 238.725, 250.965, 263.832,\n","    277.359, 291.579, 306.529, 322.245, 338.767, 356.136, 374.395, 393.591, 413.771, 434.985, 457.288, 480.733, 505.381, 531.292,\n","    558.532, 587.169, 617.274, 648.922, 682.193, 717.170, 753.940, 792.595, 833.232, 875.953, 920.864, 968.078, 1017.71, 1069.89,\n","    1124.75, 1182.41, 1243.04, 1306.77, 1373.77, 1444.20, 1518.25, 1596.09, 1677.92, 1763.95, 1854.39, 1949.47, 2049.42, 2154.50,\n","    2264.96, 2381.09, 2503.17, 2631.51, 2766.43, 2908.27, 3057.38, 3214.13, 3378.93, 3552.17, 3734.29, 3925.75, 4127.03, 4338.63,\n","    4561.07, 4794.92, 5040.76, 5299.21, 5570.91, 5856.53, 6156.80, 6472.47, 6804.32, 7153.18, 7519.93, 7905.49, 8310.81, 8736.92,\n","    9184.87, 9655.7\n","]\n","custom_spectrum_flux = [\n","    14237.8, 19932.9, 25628.1, 31323.2, 37018.3, 42713.4, 48408.6, 54103.7, 59798.8, 65493.9, 71189.1, 76884.2, 82579.3, 88274.4,\n","    93969.6, 99664.7, 105360.0, 111055.0, 116750.0, 122577.0, 128775.0, 135378.0, 142319.0, 149616.0, 157287.0, 165351.0, 173829.0,\n","    182741.0, 192110.0, 201960.0, 212315.0, 223200.0, 234644.0, 246675.0, 259322.0, 272618.0, 286595.0, 301289.0, 316737.0, 332976.0,\n","    350048.0, 367995.0, 386863.0, 406698.0, 427550.0, 449471.0, 472515.0, 496742.0, 522210.0, 548985.0, 577132.0, 606722.0, 637829.0,\n","    670531.0, 704910.0, 741052.0, 779046.0, 818989.0, 860979.0, 905122.0, 951529.0, 1.00032e+06, 1.05160e+06, 1.10552e+06,\n","    1.14681e+06, 1.16681e+06, 1.18332e+06, 1.19597e+06, 1.20452e+06, 1.21134e+06, 1.21518e+06, 1.21786e+06, 1.21958e+06, 1.22031e+06,\n","    1.21912e+06, 1.21596e+06, 1.21029e+06, 1.20159e+06, 1.18984e+06, 1.17542e+06, 1.15883e+06, 1.14056e+06, 1.12111e+06, 1.10084e+06,\n","    1.07960e+06, 1.05717e+06, 1.03333e+06, 1.00787e+06, 980597.0, 951507.0, 920731.0, 888359.0, 854453.0, 819049.0, 782220.0,\n","    744214.0, 705369.0, 665934.0, 626276.0, 586707.0, 547469.0, 508787.0, 470923.0, 434073.0, 398475.0, 364314.0, 331712.0, 300753.0,\n","    271519.0, 244145.0, 218704.0, 195202.0, 173623.0, 153886.0, 135967.0, 119819.0, 105375.0, 92493.0, 81018.5, 70809.4, 61716.9,\n","    53608.8, 46394.7, 40017.3, 34425.8, 29569.1, 25398.0, 21855.1, 18852.0, 16295.5, 14096.6, 12167.9, 10429.6, 8852.41, 7439.90,\n","    6196.57, 5126.73, 4235.10, 3517.08, 2944.53, 2486.98, 2115.25, 1801.38, 1520.12, 1263.38, 1033.71, 833.682, 665.821, 532.604,\n","    433.682, 362.035, 310.022, 270.400, 236.311, 201.652, 165.385\n","]\n","custom_spectrum_arr = np.empty((len(custom_spectrum_energy), 2), dtype=np.float64)\n","custom_spectrum_arr[:, 0] = np.asarray(custom_spectrum_energy)[:]\n","custom_spectrum_arr[:, 1] = np.asarray(custom_spectrum_flux)[:]"]},{"cell_type":"code","execution_count":null,"id":"dc0d2ec5-6344-4d29-bdfd-53053a5d9fa9","metadata":{"id":"dc0d2ec5-6344-4d29-bdfd-53053a5d9fa9"},"outputs":[],"source":["# set parameters\n","timestamp = datetime.datetime(2021, 11, 4, 6, 0, 0)\n","latitude = 58.227808\n","longitude = -103.680631\n","\n","# set output\n","output = pyaurorax.models.ATMForwardOutputFlags()\n","output.altitudes = True\n","output.plasma_electron_density = True\n","\n","# perform the calculation\n","result = aurorax.models.atm.forward(timestamp, latitude, longitude, output)"]},{"cell_type":"code","execution_count":null,"id":"b72d5072","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"executionInfo":{"elapsed":248,"status":"ok","timestamp":1718817275532,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"b72d5072","outputId":"bce47dc2-897f-4f0e-d16c-7954182ff652"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot the electron density data\n","plt.title(\"Electron Density\")\n","plt.xlabel(\"Density (cm^-3)\")\n","plt.ylabel(\"Altitude (km)\")\n","plt.plot(result.plasma_electron_density, result.altitudes)\n","plt.show()"]},{"cell_type":"markdown","id":"f8d2f9a7-787d-47d5-95cf-7dbfdd8a7365","metadata":{"id":"f8d2f9a7-787d-47d5-95cf-7dbfdd8a7365"},"source":["### **Do a request with all output parameters**\n","\n","You can also do a request and specify the output flags to return everything that the ATM 'forward' endpoint has to offer. Below, we're going to do that and plot all data."]},{"cell_type":"code","execution_count":null,"id":"55d6b71c-cace-44ed-8d27-434f65653485","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":193,"status":"ok","timestamp":1718817275723,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"55d6b71c-cace-44ed-8d27-434f65653485","outputId":"2530a0d9-60a5-4106-cd6c-853b681577d9"},"outputs":[{"name":"stdout","output_type":"stream","text":["ATMForwardResult:\n","  altitudes                            : array([ 80. ,  81. ,  82. ,  83. ,  84. ,  85. ,  86. ,  87. ...])\n","  emission_1304                        : array([4.11610381e-06, 8.14978193e-06, 8.05713353e-05, 6.028 ...])\n","  emission_1356                        : array([6.52554263e-07, 1.36533311e-06, 1.35077644e-05, 1.010 ...])\n","  emission_4278                        : array([3.60688828e-02, 2.65546776e-02, 9.94128808e-02, 2.800 ...])\n","  emission_5577                        : array([1.80875533e-04, 1.10980112e-03, 1.33010345e-02, 1.544 ...])\n","  emission_6300                        : array([4.59703074e-07, 4.37639130e-07, 1.82654117e-06, 6.446 ...])\n","  emission_8446                        : array([1.50578364e-06, 3.01059140e-06, 2.97776405e-05, 2.228 ...])\n","  emission_lbh                         : array([1.90615952e-01, 1.61396325e-01, 6.04281723e-01, 1.702 ...])\n","  height_integrated_rayleighs_1304     : 1351.555528\n","  height_integrated_rayleighs_1356     : 230.423250\n","  height_integrated_rayleighs_4278     : 2501.365443\n","  height_integrated_rayleighs_5577     : 15461.350135\n","  height_integrated_rayleighs_6300     : 252.655030\n","  height_integrated_rayleighs_8446     : 501.965738\n","  height_integrated_rayleighs_lbh      : 15266.776119\n","  neutral_n2_density                   : array([2.07015612e+14, 1.76060088e+14, 1.49296922e+14, 1.264 ...])\n","  neutral_n_density                    : array([3.56105614e+01, 2.96339664e+01, 8.99406586e+01, 2.592 ...])\n","  neutral_o2_density                   : array([5.55127627e+13, 4.72118114e+13, 4.00352231e+13, 3.389 ...])\n","  neutral_o_density                    : array([4.98076365e+09, 1.04212736e+10, 2.33545359e+10, 5.253 ...])\n","  neutral_temperature                  : array([ 207.3939209 ,  207.6426239 ,  208.60842896,  210.097 ...])\n","  plasma_electron_density              : array([  2337.91064453,   2156.13549805,   3696.21508789,    ...])\n","  plasma_electron_temperature          : array([ 207.42572021,  207.68431091,  208.66157532,  210.162 ...])\n","  plasma_hall_conductivity             : array([5.40876545e-06, 5.26621761e-06, 9.40862083e-06, 1.653 ...])\n","  plasma_ion_temperature               : array([ 207.42572021,  207.68431091,  208.66157532,  210.162 ...])\n","  plasma_ionisation_rate               : array([4.72503567e+00, 4.26657677e+00, 8.65740585e+00, 1.939 ...])\n","  plasma_noplus_density                : array([2.32948608e+03, 2.14952002e+03, 3.66992212e+03, 6.219 ...])\n","  plasma_o2plus_density                : array([8.42413330e+00, 6.61517096e+00, 2.62913361e+01, 7.798 ...])\n","  plasma_oplus_density                 : array([4.01296311e-05, 3.44329528e-05, 1.52443186e-04, 5.107 ...])\n","  plasma_pederson_conductivity         : array([2.63647689e-06, 2.18944092e-06, 3.33883918e-06, 5.016 ...])\n","  request_info                         : ATMForwardResultRequestInfo(...)\n"]}],"source":["timestamp = datetime.datetime(2021, 11, 4, 6, 0, 0)\n","latitude = 58.227808\n","longitude = -103.680631\n","\n","output = pyaurorax.models.ATMForwardOutputFlags()\n","output.set_all_true()\n","\n","result = aurorax.models.atm.forward(timestamp, latitude, longitude, output)\n","\n","result.pretty_print()"]},{"cell_type":"code","execution_count":null,"id":"bdc552fd-67a7-4697-9314-b5d30246a1a7","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":952},"executionInfo":{"elapsed":2294,"status":"ok","timestamp":1718817278016,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"bdc552fd-67a7-4697-9314-b5d30246a1a7","outputId":"c00f9b50-8e8f-425d-f1ac-9401954b28bc"},"outputs":[{"name":"stdout","output_type":"stream","text":["Height-integrated Rayleighs:\n","  427.8nm:  2501.37 R\n","  557.7nm:  15461.35 R\n","  630.0nm:  252.66 R\n","  844.6nm:  501.97 R\n","  LBH:      15266.78 R\n","  130.4nm:  1351.56 R\n","  135.6nm:  230.42 R\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 900x900 with 10 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# let's show everything we got back\n","#\n","# print all height-integrated Rayleighs data\n","print(\"\"\"Height-integrated Rayleighs:\n","  427.8nm:  %.02f R\n","  557.7nm:  %.02f R\n","  630.0nm:  %.02f R\n","  844.6nm:  %.02f R\n","  LBH:      %.02f R\n","  130.4nm:  %.02f R\n","  135.6nm:  %.02f R\"\"\" % (result.height_integrated_rayleighs_4278,\n","                          result.height_integrated_rayleighs_5577,\n","                          result.height_integrated_rayleighs_6300,\n","                          result.height_integrated_rayleighs_8446,\n","                          result.height_integrated_rayleighs_lbh,\n","                          result.height_integrated_rayleighs_1304,\n","                          result.height_integrated_rayleighs_1356))\n","\n","# plot the emission, plasma, and neutral data\n","#\n","# we'll do this all in one plot, but made up from many subplots\n","alt = result.altitudes\n","fig = plt.figure(figsize=(9,9))\n","\n","# plot all the emissions as a column of subplots\n","#\n","# 1304 A & 1356 A emission\n","ax1 = fig.add_subplot(6,2,1)\n","ax1.plot(alt, result.emission_1304, label=r\"1304 $\\AA$\", color=\"purple\")\n","ax1.plot(alt, result.emission_1356, label=r\"1356 $\\AA$\", color=\"hotpink\")\n","ax1.legend()\n","ax1.set_xlim(80,500)\n","ax1.set_ylim(bottom=0)\n","ax1.grid(axis=\"x\")\n","ax1.set_xlabel(\"Altitude (km)\", va=\"bottom\")\n","ax1.tick_params(axis=\"x\", bottom=True, top=True, labeltop=True, labelbottom=False)\n","ax1.xaxis.set_label_position(\"top\")\n","\n","# blueline emission\n","ax2 = fig.add_subplot(6,2,3)\n","ax2.plot(alt, result.emission_4278, label=r\"4278 $\\AA$\", color=\"dodgerblue\")\n","ax2.legend()\n","ax2.set_xlim(80,500)\n","ax2.set_ylim(bottom=0)\n","ax2.grid(axis=\"x\")\n","ax2.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# greenline emission\n","ax3 = fig.add_subplot(6,2,5)\n","ax3.plot(alt, result.emission_5577, label=r\"5577 $\\AA$\", color=\"green\")\n","ax3.legend()\n","ax3.set_xlim(80,500)\n","ax3.set_ylim(bottom=0)\n","ax3.grid(axis=\"x\")\n","ax3.set_ylabel(\"Volume Emission Rate\\n(cm$^{-3} \\cdot $s$^{-1}$)\")\n","ax3.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# redline emission\n","ax4 = fig.add_subplot(6,2,7)\n","ax4.plot(alt, result.emission_6300, label=r\"6300 $\\AA$\", color=\"red\")\n","ax4.legend()\n","ax4.set_xlim(80,500)\n","ax4.set_ylim(bottom=0)\n","ax4.grid(axis=\"x\")\n","ax4.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# near-infrared 8446 A emission\n","ax5 = fig.add_subplot(6,2,9)\n","ax5.plot(alt, result.emission_8446, label=r\"8446 $\\AA$\", color=\"blueviolet\")\n","ax5.legend()\n","ax5.set_xlim(80,500)\n","ax5.set_ylim(bottom=0)\n","ax5.grid(axis=\"x\")\n","ax5.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# Lyman-Birge-Hopfield emission\n","ax6 = fig.add_subplot(6,2,11)\n","ax6.plot(alt, result.emission_lbh, label=\"LBH Emission\", color=\"indigo\")\n","ax6.legend()\n","ax6.set_xlim(80,500)\n","ax6.set_ylim(bottom=0)\n","ax6.grid(axis=\"x\")\n","ax6.set_xlabel(\"Altitude (km)\")\n","ax6.tick_params(axis=\"x\", bottom=True, top=True)\n","\n","# plot the plasma data as a second column of subplots\n","#\n","# plasma density\n","ax7 = fig.add_subplot(4,2,2)\n","ax7.plot(alt, result.plasma_electron_density, label=\"Electron\", color=\"green\")\n","ax7.plot(alt, result.plasma_o2plus_density, label=\"O$^{2+}$\", color=\"black\")\n","ax7.plot(alt, result.plasma_noplus_density, label=\"NO$^{+}$\", color=\"blue\")\n","ax7.plot(alt, result.plasma_oplus_density, label=\"O$^{+}$\", color=\"red\")\n","ax7.grid()\n","ax7.set_ylabel(\"Plasma Density\\n(cm$^{-3}$)\")\n","ax7.legend(fontsize=9)\n","ax7.set_xlim(80,700)\n","ax7.set_ylim(bottom=0)\n","ax7.tick_params(axis=\"x\", bottom=True, top=True, labeltop=True, labelbottom=False)\n","ax7.set_xlabel(\"Altitude (km)\")\n","ax7.xaxis.set_label_position(\"top\")\n","ax7.yaxis.set_label_position(\"right\")\n","ax7.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma ionisation rate\n","ax8 = fig.add_subplot(4,2,4)\n","ax8.plot(alt, result.plasma_ionisation_rate, color=\"black\")\n","ax8.grid()\n","ax8.set_ylabel(\"Ionization Rate\\n(cm$^{-3} \\cdot $s$^{-1}$)\")\n","ax8.set_xlim(80,250)\n","ax8.set_ylim(bottom=0)\n","ax8.yaxis.set_label_position(\"right\")\n","ax8.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma temperatures\n","ax9 = fig.add_subplot(4,2,6)\n","ax9.plot(alt, result.plasma_electron_temperature, label=\"Electron Plasma\", color=\"blue\")\n","ax9.plot(alt, result.plasma_ion_temperature, label=\"Ion Plasma\", color=\"red\")\n","ax9.grid()\n","ax9.legend(fontsize=9)\n","ax9.set_ylabel(\"Temperature\\n(K)\")\n","ax9.set_xlim(80,800)\n","ax9.set_ylim(bottom=0)\n","ax9.yaxis.set_label_position(\"right\")\n","ax9.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma conductivities\n","ax10 = fig.add_subplot(4,2,8)\n","ax10.plot(alt, result.plasma_pederson_conductivity, label=\"Pederson Conductivity\", color=\"green\")\n","ax10.plot(alt, result.plasma_hall_conductivity, label=\"Hall Conductivity\", color=\"black\")\n","ax10.grid()\n","ax10.legend(fontsize=9)\n","ax10.set_ylabel(\"Conductivity\\n(S/m)\")\n","ax10.set_xlim(80,250)\n","ax10.set_ylim(bottom=0)\n","ax10.set_xlabel(\"Altitude (km)\")\n","ax10.yaxis.set_label_position(\"right\")\n","ax10.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# render the plot\n","plt.show()"]},{"cell_type":"markdown","id":"16d590a1-5e09-4090-9a02-7579b2cf5b1e","metadata":{"id":"16d590a1-5e09-4090-9a02-7579b2cf5b1e"},"source":["---\n","\n","## **Inversion Calculations**"]},{"cell_type":"markdown","id":"4142efd2-30f9-4225-b772-30d3368b1bb9","metadata":{"id":"4142efd2-30f9-4225-b772-30d3368b1bb9"},"source":["### **Perform a basic 'inverse' calculation**\n","\n","Using ATM you can also perform inversion calculations to derive various outputs using emission intensities as inputs.\n","\n","This function works very similarly to the 'forward' function, where-by some inputs are required, some are optional, and outputs are enabled using True/False flags as part of the request.\n","\n","Please note that the limitations on latitude and longitude range are designed to constraint request to the targeted region that the TREx optical instrumentation are deployed to. We also note that the model only takes into account data when the optical instruments were operating at 105 degrees solar zenith angle, which is several degrees lower than nominal data acquisition. This ultimately means that the beginning and end of each night have been excluded when deriving the model algorithm.\n","\n","Full documentation on this function is [in the `inverse()` function documentation](https://docs.aurorax.space/code/pyaurorax_api_reference/pyaurorax/models/atm/index.html#pyaurorax.models.atm.ATMManager.inverse).\n","\n","<small>\n","Input notes:\n","\n","- timestamp is limited to a set of years\n","  - if you supply a request outside of this valid range, an exception will be raised\n","  - 2019-2023 as of June 2024, more will be added\n","- latitude and longitude\n","  - are to be in geodetic coordinates\n","  - latitude is currently limited to &ge;50.0 and &lt;61.5 degrees\n","  - longitude is currently limited &ge;-110 and &lt;-70 and degrees\n","- valid values for nrlmsis_model_version are '00' and '2.0'\n","- valid values for precipitation_flux_spectral_type are 'gaussian' and 'maxwellian'\n","- intensity parameters are expected to be in Rayleighs\n","</small>\n","\n","<small>\n","Output notes:\n","\n","- output parameter of the request are toggles the enable/disable each field's inclusion in the response\n","- all output parameters are false by default\n","- altitude is in kilometers\n","- energy flux: erg/cm2/s\n","- characteristic energy: eV\n","- emission data: 1-D array -- volume emission rate (1/cm^3/s)\n","- plasma electron density: 1-D array -- density (cm^-3)\n","- plasma O2+ density: 1-D array -- density (cm^-3)\n","- plasma NO+ density: 1-D array -- density (cm^-3)\n","- plasma O+ density: 1-D array -- density (cm^-3)\n","- plasma ionisation rate: 1-D array -- ionisation rate (1/cm^3/s)\n","- plasma electron temperature: 1-D array -- temperature (K)\n","- plasma ion temperature: 1-D array -- temperature (K)\n","- plasma peterson conductivity: 1-D array -- conductivity (S/m)\n","- plasma hall conductivity: 1-D array -- conductivity (S/m)\n","- neutral O2 density: 1-D array -- density (cm^-3)\n","- neutral O density: 1-D array -- density (cm^-3)\n","- neutral N2 density: 1-D array -- density (cm^-3)\n","- neutral N density: 1-D array -- density (cm^-3)\n","- neutral temperature: 1-D array -- temperature (K)\n","</small>"]},{"cell_type":"markdown","id":"1bc43ecb","metadata":{"id":"1bc43ecb"},"source":["Exactly like the 'forward' calculations, ATM inverse requests work in a way where you toggle ON whatever outputs you want back. This allows you to get back only what you want. This mechanism is controlled by the `ATMInverseOutputFlags()` class that must be instantiated before making the calculation.\n","\n","As part of this class, there are helper functions that toggle all ON or OFF."]},{"cell_type":"code","execution_count":null,"id":"4c8bc986-97a4-4dce-855e-761f9b8cc2e4","metadata":{"id":"4c8bc986-97a4-4dce-855e-761f9b8cc2e4"},"outputs":[],"source":["# set up our request\n","#\n","# just like the forward function, outputs are toggled on/off using a flag object.\n","timestamp = datetime.datetime(2021, 10, 12, 6, 0, 0)\n","latitude = 58.227808\n","longitude = -103.680631\n","\n","intensity_4278 = 2302.6\n","intensity_5577 = 11339.5\n","intensity_6300 = 528.3\n","intensity_8446 = 427.4\n","\n","output = pyaurorax.models.ATMInverseOutputFlags()\n","output.energy_flux = True\n","output.characteristic_energy = True\n","output.oxygen_correction_factor = True"]},{"cell_type":"code","execution_count":null,"id":"b0f11153-8b9c-4f97-b279-d63f62802d0a","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1718817278299,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"b0f11153-8b9c-4f97-b279-d63f62802d0a","outputId":"156fc036-5d42-4165-ab25-8cf82b3ae758"},"outputs":[{"name":"stdout","output_type":"stream","text":["Energy Flux:                9.026 erg/cm2/s\n","Characteristic Energy:      4659.787 eV\n","Oxygen Correction Factor:   0.529\n"]}],"source":["# perform the calculation\n","result = aurorax.models.atm.inverse(timestamp, latitude, longitude, intensity_4278, intensity_5577, intensity_6300, intensity_8446, output)\n","\n","# let's view the output values we asked for\n","print(\"Energy Flux:                %.03f erg/cm2/s\" % (result.energy_flux))\n","print(\"Characteristic Energy:      %.03f eV\" % (result.characteristic_energy))\n","print(\"Oxygen Correction Factor:   %.03f\" % (result.oxygen_correction_factor))\n"]},{"cell_type":"code","execution_count":null,"id":"c0614950","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1718817278299,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"c0614950","outputId":"e7aa1c6a-835d-4ede-e18f-70c024cf3859"},"outputs":[{"name":"stdout","output_type":"stream","text":["ATMInverseResult:\n","  altitudes                            : None\n","  characteristic_energy                : 4659.787109\n","  emission_4278                        : None\n","  emission_5577                        : None\n","  emission_6300                        : None\n","  emission_8446                        : None\n","  energy_flux                          : 9.026382\n","  height_integrated_rayleighs_4278     : None\n","  height_integrated_rayleighs_5577     : None\n","  height_integrated_rayleighs_6300     : None\n","  height_integrated_rayleighs_8446     : None\n","  neutral_n2_density                   : None\n","  neutral_n_density                    : None\n","  neutral_o2_density                   : None\n","  neutral_o_density                    : None\n","  neutral_temperature                  : None\n","  oxygen_correction_factor             : 0.528542\n","  plasma_electron_density              : None\n","  plasma_electron_temperature          : None\n","  plasma_hall_conductivity             : None\n","  plasma_ion_temperature               : None\n","  plasma_ionisation_rate               : None\n","  plasma_noplus_density                : None\n","  plasma_o2plus_density                : None\n","  plasma_oplus_density                 : None\n","  plasma_pederson_conductivity         : None\n","  request_info                         : ATMInverseResultRequestInfo(...)\n"]}],"source":["# let's view the result object like we did for the forward calculation\n","result.pretty_print()"]},{"cell_type":"markdown","id":"d94993ae-40b8-4e73-9d0c-5f492eca6194","metadata":{"id":"d94993ae-40b8-4e73-9d0c-5f492eca6194"},"source":["### **Do a request with all output parameters**\n","\n","You can also do a request and specify the output flags to return everything that the ATM 'inverse' endpoint has to offer. Below, we're going to do that and plot all data.\n","\n","For this request, we're going to also change the precipitation flux spectral type to maxwellian, to illustrate that either 'gaussian' or 'maxwellian' can be used."]},{"cell_type":"code","execution_count":null,"id":"3031e0a2-176f-4c8a-a691-7079cf54f937","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":244,"status":"ok","timestamp":1718817278541,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"3031e0a2-176f-4c8a-a691-7079cf54f937","outputId":"0801c4bd-63a1-4e27-dc3a-e4b97e05a074"},"outputs":[{"name":"stdout","output_type":"stream","text":["ATMInverseResult:\n","  altitudes                            : array([ 80. ,  81. ,  82. ,  83. ,  84. ,  85. ,  86. ,  87. ...])\n","  characteristic_energy                : 4659.787109\n","  emission_4278                        : array([2.72207130e-02, 1.98840480e-02, 8.12471956e-02, 2.463 ...])\n","  emission_5577                        : array([4.56640155e-05, 1.07151980e-04, 1.17979804e-03, 1.164 ...])\n","  emission_6300                        : array([2.99086111e-07, 2.84780157e-07, 1.29080900e-06, 4.833 ...])\n","  emission_8446                        : array([3.73318443e-07, 7.31990951e-07, 7.80932351e-06, 6.263 ...])\n","  energy_flux                          : 9.026382\n","  height_integrated_rayleighs_4278     : 4852.901765\n","  height_integrated_rayleighs_5577     : 23481.846674\n","  height_integrated_rayleighs_6300     : 717.117399\n","  height_integrated_rayleighs_8446     : 713.716041\n","  neutral_n2_density                   : array([2.30522907e+14, 1.94753648e+14, 1.63702091e+14, 1.372 ...])\n","  neutral_n_density                    : array([3.08412380e+01, 2.58515224e+01, 8.36461716e+01, 2.640 ...])\n","  neutral_o2_density                   : array([6.18164157e+13, 5.22246255e+13, 4.38980932e+13, 3.679 ...])\n","  neutral_o_density                    : array([1.82350080e+09, 3.74317926e+09, 8.21722266e+09, 1.821 ...])\n","  neutral_temperature                  : array([197.2300415 , 197.10696411, 198.06799316, 199.8513641 ...])\n","  oxygen_correction_factor             : 0.528542\n","  plasma_electron_density              : array([  1943.39050293,   1802.48510742,   3186.04394531,    ...])\n","  plasma_electron_temperature          : array([ 197.23718262,  197.65853882,  198.07987976,  199.865 ...])\n","  plasma_hall_conductivity             : array([4.38688767e-06, 4.32827710e-06, 8.02784143e-06, 1.494 ...])\n","  plasma_ion_temperature               : array([ 197.23718262,  197.11628723,  198.07987976,  199.865 ...])\n","  plasma_ionisation_rate               : array([3.77502346e+00, 3.43870878e+00, 7.14459562e+00, 1.695 ...])\n","  plasma_noplus_density                : array([1.93684558e+03, 1.79731689e+03, 3.16330884e+03, 5.653 ...])\n","  plasma_o2plus_density                : array([6.54466009e+00, 5.16791010e+00, 2.27339478e+01, 7.359 ...])\n","  plasma_oplus_density                 : array([2.69306674e-05, 2.30580172e-05, 1.12241127e-04, 4.074 ...])\n","  plasma_pederson_conductivity         : array([2.27234227e-06, 1.90083313e-06, 2.97542738e-06, 4.694 ...])\n","  request_info                         : ATMInverseResultRequestInfo(...)\n"]}],"source":["# set up parameters\n","timestamp = datetime.datetime(2021, 10, 12, 6, 0, 0)\n","latitude = 58.227808\n","longitude = -103.680631\n","\n","intensity_4278 = 2302.6\n","intensity_5577 = 11339.5\n","intensity_6300 = 528.3\n","intensity_8446 = 427.4\n","\n","# set output flags\n","output = pyaurorax.models.ATMInverseOutputFlags()\n","output.set_all_true()\n","\n","# perform calculation\n","result = aurorax.models.atm.inverse(timestamp, latitude, longitude, intensity_4278, intensity_5577, intensity_6300, intensity_8446, output)\n","\n","# show result object\n","result.pretty_print()"]},{"cell_type":"markdown","id":"bccf94d5","metadata":{"id":"bccf94d5"},"source":["Let's plot everything we got back."]},{"cell_type":"code","execution_count":null,"id":"99ad668d-43f8-4441-a3b9-1cd45d2eb103","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":892},"executionInfo":{"elapsed":2358,"status":"ok","timestamp":1718817280897,"user":{"displayName":"Darren Chaddock","userId":"00063457193488446753"},"user_tz":360},"id":"99ad668d-43f8-4441-a3b9-1cd45d2eb103","outputId":"54cb41ab-ccdf-42f2-fa9d-4fbfa16fb91c"},"outputs":[{"name":"stdout","output_type":"stream","text":["Energy Flux:                9.026 erg/cm2/s\n","Characteristic Energy:      4659.787 eV\n","Oxygen Correction Factor:   0.529\n","\n","Height-integrated Rayleighs:\n","  427.8nm:  4852.90 R\n","  557.7nm:  23481.85 R\n","  630.0nm:  717.12 R\n","  844.6nm:  713.72 R\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAALPCAYAAABYJeAPAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3xTZdvA8V+SpntRuim0ZW8ow7IEVDYOEHkBURAUF6AMUUAZDsTxiLgRxSKPAj4OEBCRvQSxjMqUWWiBDqB7p815/0iTNh3QQtuk7fX9fI5JzrlzznUO9SRX7qVSFEVBCCGEEEIIIQRqSwcghBBCCCGEENZCEiQhhBBCCCGEyCcJkhBCCCGEEELkkwRJCCGEEEIIIfJJgiSEEEIIIYQQ+SRBEkIIIYQQQoh8kiAJIYQQQgghRD5JkIQQQgghhBAinyRIQgghhBBCCJFPEiQhKsjOnTtRqVQkJSXdtFxQUBCLFy+ulBh69+7NlClT7ng/27Zto0WLFuTl5QEwf/582rdvf8f7LapLly78/PPPFb5fIUT1JPfR8pP7qBAVTxIkIcph//79aDQaBg8efMuyy5cvx93dvdj68PBwnn76adNrlUrF2rVrKzDKO/fyyy/z2muvodFoKvU4r732GjNnzkSv11fqcYQQ1kPuoxVL7qNCVDxJkIQoh2XLljF58mR2797N1atXb2sfXl5eODo6VnBkFWfv3r2cP3+eYcOGVfqxBg4cSGpqKr///nulH0sIYR3kPlqx5D4qRMWTBEmIMkpLS+OHH37gueeeY/DgwSxfvrzUsjt37mTcuHEkJyejUqlQqVTMnz8fMG8aEhQUBMDQoUNRqVSm10888QRDhgwx2+eUKVPo3bu36XV6ejpjxozB2dkZPz8/Pvjgg2JxZGdn89JLL1GvXj2cnJwIDQ1l586dNz3P1atX07dvX+zt7Ustc/78eRo2bMikSZNQFMX0K++GDRto1qwZjo6OPPLII2RkZPDtt98SFBREnTp1eOGFF0zNTQA0Gg2DBg1i9erVN41JCFEzyH20gNxHhbBekiAJUUb/+9//aN68Oc2aNeOxxx7jm2++QVGUEst269aNxYsX4+rqSkxMDDExMbz00kvFyoWHhwMQFhZGTEyM6XVZzJgxg127dvHrr7+yefNmdu7cyeHDh83KTJo0if3797N69WqOHj3K8OHDGTBgAGfPni11v3v27KFTp06lbj969Cg9evTg0Ucf5dNPP0WlUgGQkZHBxx9/zOrVq9m0aRM7d+5k6NChbNy4kY0bN/Lf//6XL7/8kp9++slsf3fddRd79uwp83kLIaovuY8ayH1UCOtmY+kAhKguli1bxmOPPQbAgAEDSE5OZteuXWa/RhrZ2tri5uaGSqXC19e31H16eXkB4O7uftNyRaWlpbFs2TK+++477rvvPgC+/fZbAgICTGWioqIICwsjKioKf39/AF566SU2bdpEWFgYb7/9don7vnTpkql8Ufv27eP+++/n1VdfZfr06WbbdDodX3zxBY0aNQLgkUce4b///S9xcXE4OzvTsmVL7rnnHnbs2MGIESNM7/P39yc6Ohq9Xo9aLb/ZCFGTyX1U7qNCVAeSIAlRBqdPn+bvv/9mzZo1ANjY2DBixAiWLVtW4gd7ZTt//jw5OTmEhoaa1nl4eNCsWTPT62PHjpGXl0fTpk3N3pudnU3dunVL3XdmZmaJzUKioqLo27cvCxYsKHGEJ0dHR9OHOoCPjw9BQUE4OzubrYuPjzd7n4ODA3q9nuzsbBwcHEo/aSFEtSb3UbmPClFdSIIkRBksW7aM3Nxcs18EFUXBzs6OTz/9FDc3two9nlqtLtbsRKfTlWsfaWlpaDQaDh06VGwUpcIftkV5enqSmJhYbL2Xlxf+/v6sWrWK8ePH4+rqarZdq9WavVapVCWuKzrSUkJCAk5OTvKhLkQNJ/dRuY8KUV1IPawQt5Cbm8uKFSv44IMPiIiIMC3//POP6YOuJLa2tmYdaUuj1WqLlfPy8iImJsZsXUREhOl5o0aN0Gq1HDhwwLQuMTGRM2fOmF6HhISQl5dHfHw8jRs3Nltu1gwlJCSEkydPFlvv4ODAhg0bsLe3p3///qSmpt7y3Mri+PHjhISEVMi+hBDWSe6jBnIfFaJ6kARJiFvYsGEDiYmJPPnkk7Ru3dpsGTZsGMuWLSvxfUFBQaSlpbFt2zauX79ORkZGqeW2bdtGbGys6RfHe++9l4MHD7JixQrOnj3LvHnzOH78uOk9zs7OPPnkk8yYMYPt27dz/PhxnnjiCbO2502bNmX06NGMGTOGX375hcjISP7++28WLlzIb7/9Vur59u/fn71795a4zcnJid9++w0bGxsGDhxIWlraLa/frezZs4d+/frd8X6EENZL7qMF5D4qhPWTBEmIW1i2bBl9+vQpsfnHsGHDOHjwIEePHi22rVu3bjz77LOMGDECLy8v3nvvvRL3/8EHH7Blyxbq169v+gWwf//+zJkzh5dffpnOnTuTmprKmDFjzN73/vvvc/fdd/PAAw/Qp08fevToQceOHc3KhIWFMWbMGKZPn06zZs0YMmQI4eHhNGjQoNTzHT16NCdOnOD06dMlbnd2dub3339HURQGDx5Menp6qfu6lStXrrBv3z7GjRt32/sQQlg/uY+ak/uoENZNpZQ2vqYQotaaMWMGKSkpfPnll5V6nFdeeYXExESWLl1aqccRQoiqJvdRIaovqUESQhTz6quvEhgYWKwjcEXz9vbmzTffrNRjCCGEJch9VIjqS2qQhBBCCCGEECKf1CAJIYQQQgghRD5JkIQQQgghhBAinyRIQgghhBBCCJFPEiQhhBBCCCGEyCcJUjWze/duHnjgAfz9/VGpVKxdu9Zsu6IozJ07Fz8/PxwcHOjTpw9nz541K5OQkMDo0aNxdXXF3d2dJ598skImqqtKCxcupHPnzri4uODt7c2QIUOKzTeRlZXFxIkTqVu3Ls7OzgwbNoy4uDizMlFRUQwePBhHR0e8vb2ZMWMGubm5VXkqd+yLL76gbdu2uLq64urqSteuXfn9999N22vLdSjJO++8g0qlYsqUKaZ1tel6zJ8/H5VKZbY0b97ctL02XYvqRO5vllPb7xmV7cqVKzz22GPUrVsXBwcH2rRpw8GDB03ba8t3GFENKKJa2bhxo/Lqq68qv/zyiwIoa9asMdv+zjvvKG5ubsratWuVf/75R3nwwQeV4OBgJTMz01RmwIABSrt27ZS//vpL2bNnj9K4cWNl1KhRVXwmd6Z///5KWFiYcvz4cSUiIkIZNGiQ0qBBAyUtLc1U5tlnn1Xq16+vbNu2TTl48KDSpUsXpVu3bqbtubm5SuvWrZU+ffooR44cUTZu3Kh4enoqs2bNssQp3bZ169Ypv/32m3LmzBnl9OnTyuzZsxWtVqscP35cUZTacx2K+vvvv5WgoCClbdu2yosvvmhaX5uux7x585RWrVopMTExpuXatWum7bXpWlQncn+zDLlnVK6EhAQlMDBQeeKJJ5QDBw4oFy5cUP744w/l3LlzpjK15TuMsH6SIFVjRRMkvV6v+Pr6Ku+//75pXVJSkmJnZ6esWrVKURRFOXnypAIo4eHhpjK///67olKplCtXrlRZ7BUtPj5eAZRdu3YpimI4b61Wq/z444+mMqdOnVIAZf/+/YqiGJJNtVqtxMbGmsp88cUXiqurq5KdnV21J1DB6tSpo3z99de19jqkpqYqTZo0UbZs2aL06tXL9GWntl2PefPmKe3atStxW227FtWZ3N8qn9wzKt8rr7yi9OjRo9Tttfk7jLA+0sSuBomMjCQ2NpY+ffqY1rm5uREaGsr+/fsB2L9/P+7u7nTq1MlUpk+fPqjVag4cOFDlMVeU5ORkADw8PAA4dOgQOp3O7Fo0b96cBg0amF2LNm3a4OPjYyrTv39/UlJSOHHiRBVGX3Hy8vJYvXo16enpdO3atdZeh4kTJzJ48GCz84ba+Xdx9uxZ/P39adiwIaNHjyYqKgqondeiupL7W+WTe0blW7duHZ06dWL48OF4e3sTEhLCV199Zdpem7/DCOtjY+kARMWJjY0FMLtJG18bt8XGxuLt7W223cbGBg8PD1OZ6kav1zNlyhS6d+9O69atAcN52tra4u7ubla26LUo6VoZt1Unx44do2vXrmRlZeHs7MyaNWto2bIlERERteo6AKxevZrDhw8THh5ebFtt+7sIDQ1l+fLlNGvWjJiYGF5//XXuvvtujh8/XuuuRXUl97fKJ/eMqnHhwgW++OILpk2bxuzZswkPD+eFF17A1taWsWPH1trvMMI6SYIkqr2JEydy/Phx9u7da+lQLKZZs2ZERESQnJzMTz/9xNixY9m1a5elw6py0dHRvPjii2zZsgV7e3tLh2NxAwcOND1v27YtoaGhBAYG8r///Q8HBwcLRibKSu5vlUvuGVVHr9fTqVMn3n77bQBCQkI4fvw4S5YsYezYsRaOTghz0sSuBvH19QUoNrpOXFycaZuvry/x8fFm23Nzc0lISDCVqU4mTZrEhg0b2LFjBwEBAab1vr6+5OTkkJSUZFa+6LUo6VoZt1Untra2NG7cmI4dO7Jw4ULatWvHRx99VOuuw6FDh4iPj6dDhw7Y2NhgY2PDrl27+Pjjj7GxscHHx6dWXY+i3N3dadq0KefOnat1fxvVkdzfKp/cM6qOn58fLVu2NFvXokULU7Pf2vgdRlgvSZBqkODgYHx9fdm2bZtpXUpKCgcOHKBr164AdO3alaSkJA4dOmQqs337dvR6PaGhoVUe8+1SFIVJkyaxZs0atm/fTnBwsNn2jh07otVqza7F6dOniYqKMrsWx44dM7vZbtmyBVdX12I38epGr9eTnZ1d667Dfffdx7Fjx4iIiDAtnTp1YvTo0abntel6FJWWlsb58+fx8/OrdX8b1Ync36qO3DOqTvfu3YsNV3/mzBkCAwOB2vUdRlQDlh4lQpRPamqqcuTIEeXIkSMKoCxatEg5cuSIcunSJUVRDENkuru7K7/++qty9OhR5aGHHipxiMyQkBDlwIEDyt69e5UmTZpUuyEyn3vuOcXNzU3ZuXOn2RDGGRkZpjLPPvus0qBBA2X79u3KwYMHla5duypdu3Y1bTcOzdqvXz8lIiJC2bRpk+Ll5VXthmadOXOmsmvXLiUyMlI5evSoMnPmTEWlUimbN29WFKX2XIfSFB6RSlFq1/WYPn26snPnTiUyMlL5888/lT59+iienp5KfHy8oii161oUtmvXLuX+++9X/Pz8SpwuoSz0er3y/vvvK02aNFFsbW0Vf39/5a233qqQ+OT+Zlm1+Z5Rmf7++2/FxsZGWbBggXL27Fnl+++/VxwdHZXvvvvOVKa2fIcR1k8SpGpmx44dClBsGTt2rKIohg/tOXPmKD4+PoqdnZ1y3333KadPnzbbx40bN5RRo0Ypzs7OiqurqzJu3DglNTXVAmdz+0q6BoASFhZmKpOZmak8//zzSp06dRRHR0dl6NChSkxMjNl+Ll68qAwcOFBxcHBQPD09lenTpys6na6Kz+bOjB8/XgkMDFRsbW0VLy8v5b777jMlR4pSe65DaYp+2alN12PEiBGKn5+fYmtrq9SrV08ZMWKE2ZwjtelaFHar+eTKYvLkyUqzZs2UX3/9Vblw4YJy8OBBs//v7oTc3yyrNt8zKtv69euV1q1bK3Z2dkrz5s2VpUuXmm2vLd9hhPVTKYqiVG2dlRBCCGEdVCoVa9asYciQIaZ12dnZvPrqq6xatYqkpCRat27Nu+++S+/evQE4deoUbdu25fjx4zRr1swygQshhKg00gdJCCGEKGTSpEns37+f1atXc/ToUYYPH86AAQM4e/YsAOvXr6dhw4Zs2LCB4OBggoKCeOqpp0hISLBw5EIIISqCJEhCCCFEvqioKMLCwvjxxx+5++67adSoES+99BI9evQgLCwMMMzncunSJX788UdWrFjB8uXLOXToEI888oiFoxdCCFERZB4kIYQQIt+xY8fIy8ujadOmZuuzs7OpW7cuUDBK5IoVK0zlli1bRseOHTl9+rQ0uxNCiGpOEiQhhBAiX1paGhqNhkOHDqHRaMy2OTs7A4b5XGxsbMySqBYtWgCGGihJkIQQonqTBEkIIYTIFxISQl5eHvHx8dx9990llunevTu5ubmcP3+eRo0aAYb5XADTnC5CCCGqLxnFTgghRK2SlpbGuXPnAENCtGjRIu655x48PDxo0KABjz32GH/++ScffPABISEhXLt2jW3bttG2bVsGDx6MXq+nc+fOODs7s3jxYvR6PRMnTsTV1ZXNmzdb+OyEEELcKRmkoYbKzs5m/vz5ZGdnWzoUi5NrUUCuRQG5FuZq0/U4ePAgISEhhISEADBt2jRCQkKYO3cuAGFhYYwZM4bp06fTrFkzhgwZQnh4OA0aNABArVazfv16PD096dmzJ4MHD6ZFixasXr3aIudTm/7tLEmuc9WRay0sTWqQaqiUlBTc3NxITk7G1dXV0uFYlFyLAnItCsi1MCfXo/qSf7uqIde56si1FpYmNUhCCCGEEEIIka/WJkgLFy6kc+fOuLi44O3tzZAhQzh9+rRZmaysLCZOnEjdunVxdnZm2LBhxMXFmZWJiopi8ODBODo64u3tzYwZM8jNzTUrs3PnTjp06ICdnR2NGzdm+fLllX16QgghhBBCiNtQa0ex27VrFxMnTqRz587k5uYye/Zs+vXrx8mTJ3FycgJg6tSp/Pbbb/z444+4ubkxadIkHn74Yf78808A8vLyGDx4ML6+vuzbt4+YmBjGjBmDVqvl7bffBiAyMpLBgwfz7LPP8v3337Nt2zaeeuop/Pz86N+/f5li1ev1XL16FRcXF1QqVZnek5KSYvZYm8m1KCDXooBcC3PJycmA4X5TE93OfbS6kL/lqiHXuepU12utKAqpqan4+/ujVtfaOoiaQRGKoihKfHy8Aii7du1SFEVRkpKSFK1Wq/z444+mMqdOnVIAZf/+/YqiKMrGjRsVtVqtxMbGmsp88cUXiqurq5Kdna0oiqK8/PLLSqtWrcyONWLECKV///5lji06OloBZJFFFlkqfTl//vxt30etmdxHZZFFlqpaoqOjy3Rf2rVrl3L//fcrfn5+CqCsWbPmlu/ZsWOHEhISotja2iqNGjVSwsLC7uzmKEpUa2uQijL+eurh4QHAoUOH0Ol09OnTx1SmefPmNGjQgP3799OlSxf2799PmzZt8PHxMZXp378/zz33HCdOnCAkJIT9+/eb7cNYZsqUKaXGkp2dbTZyi5I/jkZ0dHSZOyvqdDo2b95Mv3790Gq1ZXpPTSXXooBciwJyLcwlJCQQHBxM3bp1LR1KpXBxcQHKdx+tLuRvuWrIda461fVap6SkUL9+fdP95lbS09Np164d48eP5+GHH75l+YpolSTKRhIkDE0vpkyZQvfu3WndujUAsbGx2Nra4u7ublbWx8eH2NhYU5nCyZFxu3HbzcqkpKSQmZmJg4NDsXgWLlzI66+/Xmy9q6truRIkR0dHXF1dq9XNpTLItSgg16KAXAtzOp0OoMY1PzMynld57qPVhfwtVw25zlWnul/rst5HBw4cyMCBA8u83yVLlhAcHMwHH3wAQIsWLdi7dy8ffvihJEgVTBIkYOLEiRw/fpy9e/daOhQAZs2axbRp00yvjb9ICCGEuDM6nc6UDNYUxvOpaedlbeQ6V53qeq2N8RbtO2VnZ4ednd0d7/92WiWJ21PrE6RJkyaxYcMGdu/eTUBAgGm9r68vOTk5JCUlmdUixcXF4evrayrz999/m+3POMpd4TJFR76Li4vD1dW1xNojqLj/kYQQQpjbvHkzjo6Olg6jUmzZssXSIdQKcp2rTnW71hkZGQDFftSeN28e8+fPv+P9306rJHF7am2CpCgKkydPZs2aNezcuZPg4GCz7R07dkSr1bJt2zaGDRsGwOnTp4mKiqJr164AdO3alQULFhAfH4+3tzdg+J/Z1dWVli1bmsps3LjRbN9btmwx7cPS8vTwxK/gYgcf9gO7WvsXIYSoDfr163fbTewW/rmQDWc3sHHkRtzs3So4stun0+nYsmULffv2rZbNkaoLa7vOiqKQl5dHXl6eqa9yTZGbm8u+ffvo1q0bNjbW88VEpVKh0WjQaDQlNqMz1hwV7esoP3pXP9bzV1fFJk6cyMqVK/n1119xcXEx9Rlyc3PDwcEBNzc3nnzySaZNm4aHhweurq5MnjyZrl270qVLF8DwQduyZUsef/xx3nvvPWJjY3nttdeYOHGi6X+GZ599lk8//ZSXX36Z8ePHs337dv73v//x22+/WezcC7uUDLujDM/tbeCDvlBDuyAIC1EUhdzcXPLy8iwdihmdToeNjQ1ZWVlWF1tl0Gg02NjY1Ng+RmWl1Wpv68vt1dSrzNs1D4Ctl7YysvXIig7tjt3uuYnysYbrnJOTQ0xMjKnGoqZRFAVfX19iYmKs8p7l6OiIn58ftra2ZuuNfxeV1dfxdlolidtTaxOkL774AoDevXubrQ8LC+OJJ54A4MMPP0StVjNs2DCys7Pp378/n3/+uamsRqNhw4YNPPfcc3Tt2hUnJyfGjh3LG2+8YSoTHBzMb7/9xtSpU/noo48ICAjg66+/tprOdIlZBc9/PgUjW8Fd9SwXj6hZrPlD3PgBHB0dbZUfwJWhtA91cWtLDy01Pc/Jy7FgJKK20+v1REZGotFo8Pf3x9bWtsbdw/R6PWlpaTg7O1vVfEKKopCTk8O1a9eIjIykSZMmVRqftbdKqklqbYJUlupoe3t7PvvsMz777LNSywQGBhb7Yy2qd+/eHDlypNwxVoWkLPPXV1ItE4eoeaz9Q9xaP4Arg6U/1GuCvVEFg/gkZCZYMBJR2+Xk5KDX66lfv36N7U+n1+vJycnB3t7e6u5VDg4OaLVaLl26ZIrxdqWlpXHu3DnT68jISCIiIvDw8KBBgwbMmjWLK1eusGLFCsD6WyXVJLU2QRIGRROkjOo1YIywYtb+IW7NH8CVoSI/1Guj1JyCX48SMxMtGIkQBrXhvmWtKuraHzx4kHvuucf02jiC8dixY1m+fDkxMTFERUWZtlt7q6SaRBKkWi4x0/x1mrQcERVMPsSth/xb3L60nDTTc6lBEkJUhN69e9+0RdPy5ctLfI+1tkqqSeTTspZLlBokIYS4JbMEKUsSJCGEqMkkQarlijaxS5cESQghiknPSTc9lyZ2QtwZlUpFRESEpcMQolSSINVyxhokj/zRIdOliZ0QQhQjTeyEKJ/evXtjZ2eHs7OzafH09KzwYyxevLhC9ykESIJU6xlrkOq5GB6lBkmI6mXDhg0EBwdz1113cfbsWUuHUyPp8nRk52WbXkuCJETZvPvuu6SlpZmW69evV+nxjZPpClFekiDVcsYapID8+cykBkmI6mX69Ol89dVXjB49mjlz5lg6nBopXZdu9loSJGFNFEUhPSe9ypayTJNSXqtXr6Zt27a4u7vTuXNn9u3bZ9qWk5PD3LlzadSoES4uLrRp04bDhw8zffp09uzZwyuvvIKzszMDBw4EICgoiIULF9KlSxccHR05efIk586do3///nh4eNCoUSOzWqfly5fTvn173nzzTby9vfHx8amxtVJjx45l9+7dlg6jWpBR7Gq5pPxR7KQGSYjqqW7dujRu3Jj09HQOHTpk6XBqpMLN6wASsxLRK3rUKvmNUVhehi4D54XOVXa8tFlpONk6Vdj+Nm7cyEsvvcS6deto3749a9eu5aGHHiI8PBxXV1dmzpzJ7t272bRpE40bN+bMmTPY29vzwQcfcOjQIYYMGcKUKVPM9rl8+XLWrVtH48aNycvLo23btjz44IP8+uuvnDlzhgEDBuDt7c2jjz4KwIkTJ3j88ce5cuUKf/75J3379uWBBx6gUaNGFXae1iA5OZk+ffoQGBjIuHHjGDt2LPXq1bN0WFZJ7u61nNQgCXFr77zzDiqVyuxDeOHChXTu3BkXFxe8vb0ZMmQIp0+fNntfUFAQKpWq2DJx4kRTmby8PObMmUNwcDAODg40atSIN998s8y/0o4bN45GjRrx3HPP1dhfPS3NmCDZaewA0Ct6UrNlVm0hbmXWrFm4u7ublr59+xYr89lnnzFjxgw6dOiAWq3m4Ycfpnnz5mzevBlFUfjyyy9ZtGgRTZo0QaVS0axZMwIDA2963Oeee45mzZqh0WgIDw8nJiaGt956C3t7e9q2bcukSZPMhtD29PRk+vTpaLVaevfuTVBQUI0cRGLt2rVcuXKF5557jh9++IGgoCAGDhzITz/9hE4nv5AXJjVItVhWLmTmGp5LDZIQJQsPD+fLL7+kbdu2Zut37drFxIkT6dy5M7m5ucyePZt+/fpx8uRJnJycTO8t3P79+PHj9O3bl+HDh5vWvfvuu3zxxRd8++23tGrVioMHDzJu3Djc3Nx44YUXbhpbbm4uH330ES+//DKfffYZderUqcAzF0bGEey8nLy4kXGDzNxMEjITcLN3s3BkQoCj1pG0WWm3LliBxyurhQsXFqvdKerixYvMnj2befPmmdbpdDr69OnDtWvXyMjIoEmTJuWKsUGDBqbnly9fxt/fH1tbW9O6hg0b8t1335le+/j4mL3fycmJ1NSa+SOIl5cX06ZNY9q0aRw+fJiwsDAef/xxnJ2deeyxx3j++efLfb1rIkmQarHk/NojjQp882vnJUESlUlRCpLyquZgAypV+d6TlpbG6NGj+eqrr3jrrbfMtm3atMns9fLly/H29ubQoUP07NkTMHwQFfbOO+/QqFEjevXqZVq3b98+HnroIQYPHgwYap1WrVrF33//fcv4lixZQsOGDZk4cSLvvPMOFy5cqHFNQqyBsQbJ2dZwo7yccpnrGdcJrhNsybCEAAxDZldkk7eqVr9+fSZPnsyzzz5rWqfX60lJScHFxQVHR0fOnTuHn59fsfeWNvl14fUBAQFcvXoVnU6HVqsFDElZQEBABZ9J9RITE8OWLVvYsmULGo2GQYMGcezYMVq2bMl7773H1KlTLR2iRUmCVIsZkyEnW3DO/2ElQ5rYiUqUmQstPrfMsU89D47a8r1n4sSJDB48mD59+hRLkIpKTk4GwMPDo8TtOTk5fPfdd0ybNg1VoUytW7duLF26lDNnztC0aVP++ecf9u7dy6JFi256vISEBN5880127txJQEAAbm5uRERESIJUCQonSI5aRy6nXCY+Pd7CUQlRM0ycOJEpU6bQuXNnOnToQGZmJnv37qVevXq0aNGCCRMmMH36dFauXEmjRo1MfZACAwPx8fHh/PnzN93/XXfdhY+PD3PnzmX+/PmcPXuWTz75hPfee6+KztB66HQ61q1bR1hYGJs3b6Zt27ZMmTKFRx99FFdXQ1+LNWvWMH78eEmQLB2AsBzjL/n2NuCU/8UxTWf4lb+8v7QLUdOsXr2aw4cPEx4efsuyer2eKVOm0L17d1q3bl1imbVr15KUlMQTTzxhtn7mzJmkpKTQvHlzNBoNeXl5LFiwgNGjR9/0mPPmzWPo0KG0aNECgJYtW/LPP/8wbNiwsp2gKLPCCZK9jT0AcelxlgxJiGrhlVde4bXXXjNbd+nSJbPXDzzwAFlZWUyYMIELFy5gZ2dH586dWbhwIWBohjx//nz69OnDjRs3CA4O5ttvvyUwMJApU6bwxBNP4O7uTo8ePdiwYUOxGLRaLRs2bGDSpEn4+vpSp04dpk2bZhqgoTbx8/NDr9czatQo/v77b9q3b1+szD333IO7u3uVx2ZtJEGqxTLza5AcbAy1SAB6BbLzDEmTEBXNwcZQk2OpY5dVdHQ0L774Ilu2bMHe3v6W5SdOnMjx48fZu3dvqWWWLVvGwIED8ff3N1v/v//9j++//56VK1fSqlUrIiIimDJlCv7+/owdO7bEfZ08eZLvvvuOU6dOmda1bt26RnYqtgbGBMlJ64Sno2GiS6lBEuLmdu7cWeq2ooPQDB8+3KxvprGJHYCdnR0LFy40JUyFhYaGmt0HwdB8rqimTZuyefPmEmN54okniv1wVVPvpR9++CHDhw+/6eeau7s7kZGRVRiVdZKvwbVYVn4NkoONedOjtBxJkETlUKnK38zNEg4dOkR8fDwdOnQwrcvLy2P37t18+umnZGdno9FoAJg0aRIbNmxg9+7dpbZpv3TpElu3buWXX34ptm3GjBnMnDmTkSNHAtCmTRsuXbrEwoULS02Qpk6dSlJSktnx9Ho99evXv+1zFqXLzDXMh+CodcTHydCZOy5NapCEENXLjh07GDJkSLEEKT09ncmTJ/PNN99YKDLrI8N812KmBEkL6kJfXDNkoAZRy913330cO3aMiIgI09KpUydGjx5NREQEGo0GRVGYNGkSa9asYfv27QQHl95hPywsDG9vb9NADIVlZGQU62is0WjQ6/Ul7mvDhg0cOnSII0eOmMW3bNkyoqKiSExMvLOTF8Vk5RpGtLGzscPbyRuA+AypQRJCVC/ffvstmZmZxdZnZmayYsUKC0RkvaSeoBYz9kGyy/8rcNIakqM0GahB1HIuLi7F+hI5OTlRt25d0/qJEyeycuVKfv31V1xcXIiNjQXAzc0NBwcH0/v0ej1hYWGMHTsWG5vit9wHHniABQsW0KBBA1q1asWRI0dYtGgR48ePL1ZWp9Mxffp0ZsyYUaztuLGD7T///EPv3r3v5PRFEdm52QDYa+zxcZYaJCFE9ZKSkoKiKCiKQmpqqlkNUl5eHhs3bsTb29uCEVofSZBqscJ9kMCQIF1DhvoWoiy++OILgGLJSFhYmFl79q1btxIVFVViwgPwySefMGfOHJ5//nni4+Px9/fnmWeeYe7cuSWWTUpKYtKkScW21a9fH0dHRyIiIiRBqmDZeYYEyawGSfogCSGqCXd3d9NE5U2bNi22XaVS8frrr1sgMuslCVItVrgPEhQM1JAuNUhCFFO0w3HRTsal6dev303Luri4sHjxYhYvXnzLfRkn9yuJSqUiPT29TDGJ8jE1sdPYFfRBklHshBDVxI4dO1AUhXvvvZeff/7ZbDoKW1tbAgMDiw0gVNtJglSLZRbqgwQFQ31LDZIQQhQwNbGzsTfVIF3PuE6ePg+NWmPJ0IQQ4paMk5NHRkbSoEEDs7n4RMkkQarFjDVI9vmf71KDJIQQxRVuYufl5IUKFXpFz/WM66Y+SUIIYY2OHj1K69atUavVJCcnc+zYsVLLtm3btgojs26SINVixj5I9lKDJIQQpTIlSBo7bNQ2eDp6ci3jGrFpsZIgCSGsWvv27YmNjcXb25v27dujUqlKbPatUqnIy8uzQITWSRKkWixT+iAJIcQtFR7mG8DPxc+UILWjnSVDE6Ja279/P9OmTcPW1hZnZ2e+//573N3dLR1WjRIZGYmXl5fpuSgbSZBqsWKDNMg8SKISlHUwA1H55N/i9hTugwTg6+zL0bijxKTFWDIsIaq9wMBAtm3bhqOjI0uWLOGzzz7j1VdfLbFs7969iw2WI24tMDCwxOfi5mSi2FrMWINkX6QGKU0SJFEBtFpDxp2RkWHhSISR8d/C+G8jyqZwEzsAP2c/AGJSJUES4k74+/vj6OgIGEZTK2muOFFxvv32W3777TfT65dffhl3d3e6devGpUuXLBiZ9ZG/xFosq5RR7DKkiZ2oABqNBnd3d+LjDfPFODo6WtXIOXq9npycHLKyslCra/ZvRYqikJGRQXx8PO7u7mg0MvJaeRhrkExN7PITpNi0WIvFJER1sXXrVl5//XWOHDmCRqOhW7duLFiwgA4dOpjK3Lhxg88//5xNmzZZMNKa7+233zbN4bd//34+/fRTFi9ezIYNG5g6dSq//PKLhSO0HpIg1WJFJ4p1zq9BSpEESVQQX19fAFOSZE0URSEzMxMHBwerStwqk7u7u+nfRJSdsQ9S4SZ2gDSxE+IW1q1bx6OPPsqHH37Ixo0byc3NZcmSJfTs2ZOdO3fSqVMnMjIyGD58OB9//DGenp5m74+NjeXRRx8FMJsEe+bMmQwYMKCqT6fai46OpnHjxgCsXbuWRx55hKeffpru3bvLBONFSIJUi2UVaWLnZvhxlORsy8Qjah6VSoWfnx/e3t7odNbVdlOn07F792569uxZK5qcabVaqTm6TcWa2LlIDZIQt6IoCi+++CIzZ85kwoQJpvWzZs3i3LlzvPTSS2zdupWRI0cyefJkunXrVmwfvr6+pn5H0gfpzjk7O3Pjxg0aNGjA5s2bTROP29vbk5mZaeHorIskSLVY0T5IboYfR0nJskw8oubSaDRW9+Vco9GQm5uLvb19rUiQxO0r2sROapCENTE2oa0qZW0ufebMGS5evGiqASrs0UcfpX///qxatYrdu3eTkpLCRx99xODBg5kxY0ZlhC2Avn378tRTTxESEsKZM2cYNGgQACdOnCAoKMiywVkZSZBqscwifZCMNUgpUoMkhBAmpmG+ZZAGYYUyMjJwdnausuOlpaXh5OR0y3LXr18HDAMxFOXv709eXh733nsvSUlJZTqu1B7duc8++4zXXnuN6Ohofv75Z+rWrQvAoUOHGDVqlIWjsy6SINViWUX6ILlKEzshhCjG2MTO2AfJ38XwhS9dl05Kdgqudq4Wi00Ia2XsT3T16lUaNmxotu3q1atoNBo8PDwsEVqt5e7uzqefflps/euvv26BaKybJEi1WNGJYo01SKk5kKcHTc0e2EsIIcqkaBM7J1sn3O3dScpK4nLKZVp6tbRkeKKWc3R0JC0trUqPVxZNmzYlMDCQVatWFZvbaNWqVXTv3h0HB4fKCFHcRFJSEn///Tfx8fHo9XrTepVKxeOPP27ByKyLJEi1WNFBGow1SGBoZldH7ltCCFFskAaAANcASZCEVVCpVGVq8lbVVCoVH374IY8//ji+vr6MGDGC3NxcvvzyS1avXs22bdssHWKts379ekaPHk1aWhqurq5mfckkQTIndQS1lKIUGqQhvw+SVlMwF5I0sxNCCANTHyQb8wQJ4HLKZYvEJER1MHToUH7++WfCwsLw9fWlQYMGbN++nR07dhAaGmrp8Gqd6dOnM378eNLS0khKSiIxMdG0JCQkWDo8qyI1SLVUTh7oFcNzh0J/BW52kK6DZBnJTgghUBTF1MTO2AcJIMBFEiQhyqJ///7079/f0mEI4MqVK7zwwgtlbiZZm0kNUi1lbF4HRRKk/M9/qUESQgjI1eeiYPg1qWgTO5AESQhRffTv35+DBw9aOoxqQWqQailjgqRRGZrWGclIdkIIUcDY/wikiZ0QonozzjN18uRJ2rRpU2wOwAcffPC29qvT6YiNjSUjIwMvL68aMTqhJEi1VHr+EN+ORebHNI5kJ03shBCioP8RSA2SEKJ6mzBhAgBvvPFGsW0qlYq8vLwy7ys1NZXvvvuO1atX8/fff5OTk4OiKKhUKgICAujXrx9PP/00nTt3rrD4q5I0saul0nMMj8625utlslghhChgTJC0ai0adUF1uzFBikqOskhcQghRXnq9vtSlPMnRokWLCAoKIiwsjD59+rB27VoiIiI4c+YM+/fvZ968eeTm5tKvXz8GDBjA2bNnK/GsKofUINVwigLf/gMBLnBfoXnaUvMTJKciCZKr9EESQgiTTF0mYD5AA0CgeyAAydnJJGUl4W7vXtWhCSHEbcvKysLe3v7WBUsQHh7O7t27adWqVYnb77rrLsaPH8+SJUsICwtjz549NGnS5E7CrXJSg1TDbb6gYu5OGL8eDsUUrDc2sXMppQZJEiQhhCioQXLQmk8M52zrjJejFwCXki5VeVxCCFFeeXl5vPnmm9SrVw9nZ2cuXLgAwJw5c1i2bFmZ97Nq1apSk6PC7OzsePbZZxk/fvxtx2wpkiDVcF9FFPwTh0UUrDfVIBXtg2SsQZI+SEIIQWauoQbJwab4zNlB7kEARCZFVmVIQghxWxYsWMDy5ct57733sLUt+IW8devWfP311xaMzPpIglSD5SoqTlwrmCX5r8uGJndw6z5IUoMkhBAFTewctA5ERcHmzQXbjAnSxaSLVR+YEEKU04oVK1i6dCmjR49GoynoU9muXTv+/fffMu2j8KSy165d45dffuHEiROVEq8lSYJUg8XmuKDTq7DTgK0GrmVAZJJhW1opCZIM8y2EEAWMNUhKbBsCA6F/fwgPN2wLdg8GJEESQlQPV65coXHjxsXW6/V6dDrdLd//9ddf07FjRzp16sQXX3zB0KFD2bZtGyNHjqxxNVAySEMNdiXHDYAQP8jOhSOxcDweGtYpPUGSYb6FEKKAsQ9S/G8TTetOnIDOnaWJnRCW0Lt3b3bu3GnpMKqlli1bsmfPHgIDA83W//TTT4SEhNzy/R9//DEnTpwgMzOTBg0aEBkZiZeXF8nJyfTq1YunnnqqskKvcpIg1WCxOhcAmteFzPwE6ZyhVtSUIBUdxc5NRrETQggTYxM7XYK/aV1U/sjepgQpURIkIYT1mzt3LmPHjuXKlSvo9Xp++eUXTp8+zYoVK9iwYcMt329jY4ODgwMODg40btwYLy/DQDVubm6oVKpbvLt6kSZ2NVhCriMA9V2hcf6kxmfzEyRjH6Sio9i559cgpWZDnr4KghRCCCtmbGKXm+ZmWncpf9C6xh6GpirnEs6hV+SGKURRvXv3RqPRcPToUdO6pKQkVCoVFy9eNK3bunUrd999N87Ozri5uTFo0CD++ecfC0Rcsz300EOsX7+erVu34uTkxNy5czl16hTr16+nb9++t3y/RqMhK8tQq75r1y7T+rS0tEqL2VIkQarBEvMMoy75u0CT/ATpXKLhsbRR7OrkD9SkAInSzE4IUcuZapBSCxKkwjVIGpWGzNxMrqZetUR4Qli9OnXqMGvWrFK3r1u3jiFDhjBmzBhiYmK4ePEiPXv2ZPDgwRw8eBCA2NhYevfuTe/evYmIiDA937RpU1WdRo1x9913s2XLFuLj48nIyGDv3r3069evTO/dunUrdnaGX9Ld3AruiRkZGSxdurRS4rUUaWJXgyXmGrKdANeCxOdikqFmyDgPkrOd+Xts1FDH3pAcJWSCp2PVxSuEENYmKzcLchzIyym4WRoTJK1GS3CdYM4lnOPsjbMEuAZYKEohrNfzzz/Pxx9/zO7du+nZs6fZNkVRePHFF5k5cyYTJkwwrZ85cyanTp3i5ZdfZufOnfj6+pr6HUkfpNunKAqHDh3i4sWLqFQqGjZsSPv27cvcPK5wUgSGxNXX1xdvb2+8vb0rI2SLkRqkGionD1LyDB2K/F3A3xm0asP62LRCgzRoi7+3bn5SdD2jioIVQggrlZmbCRmeZuuiogqmTGjiYZgd/mzC2aoOTYhqwcPDg1deeYWZM2cW23bmzBkuXrzIo48+WmzbI488wt69e8nMzKyKMGu8HTt20KhRI0JDQ/m///s/hg8fTqdOnWjSpAm7d+++rX2WteapOpIEqYaKTQMFFXYahboOoFEbapIALiWXPoodgGd+bdMNuScJIWq5TF1BguTpCSoVZGXB9euG7aYE6YYkSMIyFAXS06tuMf44UB5Tpkzh0qVLrF271mz99fz/kfz9/Yu9x9fXl7y8PNOcO0ZSe1R+586d4/777ycoKIhffvmFU6dOcfLkSX788UcCAgIYNGgQFy5cKPd+ldv5Y6gmpIldDRWfYagu9XEyfKADNHAzzIN0qwRJapCEEMLAUINkGKmpXj2ws4MrV+DCBfDygiZ1pQZJWFZGBjg7V93x0tLAyal873FwcGDevHnMnj2bPXv2mNZ7ehp+fLh69SoNGzY0e09sbCwajQYPD487jrm2W7x4MV26dGHbtm1m65s3b87QoUPp06cPH374IZ988km59lvTRq4rTGqQaihjcuPpWJDdN8hvOhqVXDCKXYkJktQgCSEEkN8HqVANUhNDPsTZ/HyouWdzAE5dP2WJ8ISoNp588kn0ej3ffvutaV3Tpk0JDAxk1apVxcr//PPPdO/eHQcHh6oMs0bauXMnU6ZMKXGbSqViypQp7Nixo2qDsnJSg1RDXc80ZPVehQZZCMpPkCKTIM04SENJTezy33NDapCEELVcZm4mZNYBoE4d8PCAnTvhzBnD9pZeLQHDUN/ZudnY2diVsichKoejo6FWpyqPdzs0Gg0LFizgmWeeMa1TqVR8+OGHPP744/j6+jJixAhyc3NZsmQJv/zyC1u2bKmgqGu3qKgo2rRpU+r21q1bc8k4f4EApAapxjLWINV1KKhBCnI3PP57HfT5q6UGSQghSpepy4QcQ/slFxdo2tSw3pgg+Tn74Wbnhl7Rc+bGGQtFKWozlcrQ5K2qljtpVTVs2DAaN25stm7o0KH8/PPPhIWF4evrS4MGDdi+fTvr1q0jNDT0Dq+OAMM8RY43yWwdHR3JyCj/r+IajeZOwrJqtTZB2r17Nw888AD+/v6oVKpiHQcVRWHu3Ln4+fnh4OBAnz59OHvWvI15QkICo0ePxtXVFXd3d5588slik2UdPXqUu+++G3t7e+rXr897771X2acGFG5iV7DOmCBFJhke1SpwKKEOUfogCSGEQWZuQYLk7Fw8QVKpVLTybgXAyWsnLRGiEFarpKZdf/31F4qiEBQUZFrXv39/9u7dS1paGikpKWzatIkOHTpUbbA13MmTJzl69GiJy4kTJ25rn0eOHKngKK1HrW1il56eTrt27Rg/fjwPP/xwse3vvfceH3/8Md9++y3BwcHMmTOH/v37c/LkSeztDcNnjx49mpiYGLZs2YJOp2PcuHE8/fTTrFy5EoCUlBT69etHnz59WLJkCceOHWP8+PG4u7vz9NNPV+r5GZvYeRZqulvf1ZAUGWuP6jqU/EuQsQYpQWqQhBC1nGEepJJrkBTFcA9t6dmSfdH7JEESQpTbZ599xvvvv09sbCzt2rXjk08+4a677iqx7PLlyxk3bpzZOjs7O7Kysm55nPvuu6/EUedUKhWKotzRgAtZWVkcPXqU+Ph49Hq92bYHH3zwtvdrSbU2QRo4cCADBw4scZuiKCxevJjXXnuNhx56CIAVK1bg4+PD2rVrGTlyJKdOnWLTpk2Eh4fTqVMnAD755BMGDRrEf/7zH/z9/fn+++/Jycnhm2++wdbWllatWhEREcGiRYsqP0HKr/3xKjRIg52NYU6kyymG152Lj6oJFNQgSR8kIURtZ2hi5wIYapAaNgSNxjDc8ZUrEBCAqQbpWPwxS4YqhKhmfvjhB6ZNm8aSJUsIDQ1l8eLF9O/fn9OnT5c68aqrqyunT582vS5LYhMZGVlhMRe1adMmxowZYxqyvTCVSkVeXl6lHbsy1domdjcTGRlJbGwsffr0Ma1zc3MjNDSU/fv3A7B//37c3d1NyRFAnz59UKvVHDhwwFSmZ8+e2NoWdPQx/uEnJiaWevzs7GxSUlLMlvK6kV+DVLfI4C/tfAqeh5Yy6bux1iklB7Jzy31oIYSoMRIyE8ya2Gm1YOxCYfyO0s6nHQD/xP1jiRCFENXUokWLmDBhAuPGjaNly5YsWbIER0dHvvnmm1Lfo1Kp8PX1NS0+Pj6lljUKDAws03I7Jk+ezPDhw4mJiUGv15st1TU5glpcg3QzsbGxAMX+6Hx8fEzbYmNji2X3NjY2eHh4mJUJDg4utg/jtjp16pR4/IULF/L666/f0Tkk5te2ejiYV6d2qQe/5Xel6lqv5Pe62oGNGnL1hmZ2fi53FIoQQlgNnU6HTqcrc/lr6ddMCZKDQy46nULTphpOn1Zz/HgePXvqaVnXMJLdhcQLXE+9jpu9W6XEXhrj+ZTnvET5Wct11ul0KIpi+hJaExmbghnP09ro9XoURUGn05kNVGD82yj6w7adnR12duYjXObk5HDo0CFmzZplWqdWq+nTp4/px/iSpKWlERgYiF6vp0OHDrz99tu0atWqIk7rtsTFxTFt2rQyJWrViSRIVmjWrFlMmzbN9DolJYX69euX+f05eZCWY6hBqmNvvu2+YJizE7ydoEndkt+vUhlqnuLS4bokSEKIGmTz5s03Hc2pML2i53rGdVOCdObMETZuvIpW2xJowubNlwgKMjSr89J6cU13jaXrltLK2TJfVmRI5Kph6etsY2ODr68vaWlp5OTkWDSWypaammrpEEqUk5NDZmYmu3fvJje3oKmNcSS4ot/Z5s2bx/z5883WXb9+nby8vBJ/jP/3339LPG6zZs345ptvaNu2LcnJyfznP/+hW7dunDhxgoCAUpoFVbJHHnmEnTt30qhRI4scv7JIglQCX19fwJAV+/n5mdbHxcXRvn17U5n4+Hiz9+Xm5pKQkGB6v6+vL3FxcWZljK+NZUpS0i8N5ZGYP7iCGj0uRXZTzxW2Pg7OWsOADaWp62hIkKQfkhCiJunXrx+urq5lKns94zr6f/SmBOnuu0MYMKA916+r+OUXyMoKYtAgwxehu9Lv4rezv+EY7MigzoMqLf6S6HQ6tmzZQt++fdFqtVV67NrEWq5zVlYW0dHRODs7mwaNqmkURSE1NRUXF5c7GjygsmRlZeHg4EDPnj3N/g2MNUfR0dFm95k7+U5XWNeuXenatavpdbdu3WjRogVffvklb775ZoUco7w+/fRThg8fzp49e2jTpk2x/zdeeOEFi8R1pyRBKkFwcDC+vr5s27bNlBClpKRw4MABnnvuOcDwR5qUlMShQ4fo2LEjANu3b0ev15vG7e/atSuvvvoqOp3O9AezZcsWmjVrVmrzuopgHH3OSZ2DWlV8jPomHrfeh3GC2fj0CgxMCCEsTKvVlvnLbVJOEgBqnSt6wN3dBq0WjK1ZTp9Wo9UauvJ29OvIb2d/40j8EYt9eS7PuYnbZ+nrnJeXh0qlQq1Wo1bXzK7kxmZ1xvO0Nmq1GpVKVexvwfjc1dX1lj/EeHp6otFoSvwh/WY/ohem1WoJCQnh3Llz5TyDirNq1So2b96Mvb09O3fuNEtoVSpVtU2QrO+vroqkpaURERFBREQEYBiYISIigqioKFQqFVOmTOGtt95i3bp1HDt2jDFjxuDv78+QIUMAaNGiBQMGDGDChAn8/fff/Pnnn0yaNImRI0fi728YHu7RRx/F1taWJ598khMnTvDDDz/w0UcfmTWfqwwJ+f2PnDS3X/XuZ/jBlJgqnJ1bCCGsSXy6oZWAWmf4ouOcf19s3tzweOUKJCUZnt9VzzAs799X/q7KEIUQ1ZStrS0dO3Zk27ZtpnV6vZ5t27aZ1RLdTF5eHseOHTNr7VTVXn31VV5//XWSk5O5ePEikZGRpuXChQsWi+tO1doapIMHD3LPPfeYXhuTlrFjx7J8+XJefvll0tPTefrpp0lKSqJHjx5s2rTJrCr1+++/Z9KkSdx3332o1WqGDRvGxx9/bNru5ubG5s2bmThxIh07dsTT05O5c+dW+hDfiYVqkMDhpmVL45/f7+iqdTb/FUKISrPl/Bb2RO3Bx8nQN0DJcQIKEiR3d6hfH6Kj4fhx6NGjIEH69/q/JGclV/lADUKI6mfatGmMHTuWTp06cdddd7F48WLS09NNcx2NGTOGevXqsXDhQgDeeOMNunTpQuPGjUlKSuL999/n0qVLPPXUU2U+5k8//cT//vc/oqKiivVhO3z4cLnPIScnhxEjRlhlTd+dqLUJUu/evUucMMtIpVLxxhtv8MYbb5RaxsPDwzQpbGnatm3Lnj17bjvO22FsYucsNUhCCFEu2y5so993/QpWKJCXZfihyZggAbRpY0iQjh0zJEheTl4EuwcTmRRJ+NVw+jTsgxBC3MyIESO4du0ac+fOJTY2lvbt27Np0ybTwA1RUVFmiUdiYiITJkwwjYTcsWNH9u3bR8uWLct0vI8//phXX32VJ554gl9//ZVx48Zx/vx5wsPDmThx4m2dw9ixY/nhhx+YPXv2bb3fWtXaBKkmMw7xbahBuj2SIAkhaqO3975tvkLnAIqhL2fRBGnjRkOCZHRXvbuITIrkwOUDkiAJUU69e/dm586dlg6jyk2aNIlJkyaVuK3o9fjwww/58MMPb/tYn3/+OUuXLmXUqFGm1lINGzZk7ty5JCQk3NY+8/LyeO+99/jjjz9o27Ztsf55ixYtuu14Lalm1YcJoFCCdCc1SPlN7GKkiZ0Qopa4kXGDHZE7AFg9bDXOts44KAXz3RUeHbxNG8Nj4QQptJ5hgJ6/r0o/JCGE9YmKiqJbt24AODg4mIZRf/zxx1m1atVt7fPYsWOEhISgVqs5fvw4R44cMS3Gfv7VkdQg1UDmfZBuj7EPUmoOpGZTbLhwIYSoafZf3o+CQnPP5oxoPYJ+jfpx/HQmPReCkxMUmg+Stm0Nj0ePgl4PanVBP6T90ftRFMUqhycWoqpt3bqV119/nSNHjqDRaOjWrRsLFiygQ4cOlg6t1vH19SUhIYHAwEAaNGjAX3/9Rbt27YiMjLxpt5Ob2bFjRwVHaR2kBqkGqogmdo5acMtPiqSZnRCiNjhw+QAAXQMMI0jVcaiDs2IYlbToiL3Nm4O9PaSkwPnzhnWd/Dthb2PPtYxrnLx2ssriFsJarVu3jiFDhjBmzBhiYmK4ePEiPXv2pGfPnhw8eJDY2Fh69+5N7969iYiIMD3ftGmTpUOvke69917WrVsHwLhx45g6dSp9+/ZlxIgRDB061MLRWRepQaqBkvITJMc7aGIHhlqk5GzDSHZN61ZAYEIIYcWOxRvay4X4hpjW5bdAwcXFvKxWC+3awYEDcPAgNGkCdjZ29GjQg60XtrI9cjutvFtVVehCWB1FUXjxxReZOXMmEyZMMK2fNWsW586d46WXXmLnzp2mfjaF+yDp9XrTpKui4ixdutQ0x9TEiROpW7cu+/bt48EHH+SZZ565rX0uXLgQHx8fxo8fb7b+m2++4dq1a7zyyit3HLclSA1SDZRkqkHS3dF+fGWgBiFELWKs9WnpVTAiVGkJEkD+HOEcOlSw7t6gewHYcbFmNjsRoqzOnDnDxYsXefTRR4tte/TRR9m7dy+ZmZkWiKz2UqvV2NgU1I2MHDmSjz/+mMmTJ2Nra3tb+/zyyy9pbpwcrpBWrVqxZMmS247V0qQGqQaqiCZ2AP75CZLMhSSEqOl0eTrOJxrayrXwamFaf7MEqVMnw+PBgwXr7g02JEg7L+4kT5+HRq0p/kYhKpKiQEZG1R3P0RHK0L/u+vXrAPj7+xfb5u/vT15eHgkJCdSrVw8oPmKbqBxZWVkcPXqU+Ph4U22S0YMPPlju/cXGxpY4Ua2XlxcxMTG3HaelSYJUw+TqISXb8PxOm9jJSHZCiNoiKjkKvaLH3sYeP+eCD3tjK5+ifZAAOnc2PIaHQ24u2NhAR/+OuNi6kJiVSERsBB39O1ZB9KJWy8gwH4O+sqWlGUYtuQVPT08Arl69SsOGDc22Xb16FY1Gg4eHR6WEKEq2adMmxowZY0peC1OpVOTl5ZV7n/Xr1+fPP/8kODjYbP2ff/5ZYnJcXUgTuxomOavgueMdNrELyP9CEC3NgIUQNdzFpIsABLkHmY0+d7MapJYtDYlTRkbBcN82ahtTLdLGsxsrM2QhrFrTpk0JDAwscfjoVatW0b17dxwcHCwQWe01efJkhg8fTkxMDHq93my5neQIYMKECUyZMoWwsDAuXbrEpUuX+Oabb5g6dapZ37PqRmqQapik/NojF1sFjer2hmw0CnY3PF5IuqPdCCGE1SucIBV2swRJrYauXeGPP2DfPgjJH9vh/qb38+vpX1l/Zj1zes2pvKCFAEOTt7Qq7CxceEKwm1CpVHz44Yc8/vjj+Pr6MmLECHJzc/nyyy9ZvXo127Ztq+RARVFxcXFMmzYNHx+fCtvnjBkzuHHjBs8//zw5OYaWS/b29rzyyivMmjWrwo5T1aQGqYYxzoHkbn/n+zImSPHpkHZnrfWEEMKqRSVHARDoFmi2/mYJEkD+nIv8+WfBusFNBgMQfjWcmNTq2wZfVBMqlaHJW1Ut5Zjfa+jQofz888+EhYXh6+tLgwYN2L59Ozt27CA0NLQSL4ooySOPPFLhfb1UKhXvvvsu165d46+//uKff/4hISGBuXPnVuhxqprUINUwxhHs3O3urPYIwM0e6jrAjUy4mAStvW/5FiGEqJYup1wGoL5rfbP1N+uDBNCjh+Fx1y5DX3mVCvxc/Ojs35nwq+H8dvY3nurwVGWFLYTV69+/P/3797d0GAL49NNPGT58OHv27KFNmzZotVqz7S+88EKZ9hMVFUWDBg3M1jk7O9PZ2DGziCtXrpgG46guJEGqYYwj2FVEDRIYapFuZEJkkiRIQoia63KqIUEKcA0wW1+4BikvL4/U1FTc3d1N27t2BVtbuHoVzpyBZs0M6x9s9iDhV8NZ8+8aSZCEEFZh1apVbN68GXt7e3bu3GnW31KlUpU5QercuTNDhgzhqaeeKjUpSk5O5n//+x8fffQRTz/9dJn3bS0kQaphjAlSHXvgzsZoAAwJ0sEYuJB45/sSQghrZaxBKi1Bysm5QUjIPfz777+cPHmSxo0bA+DgYGhmt3Mn7NhRkCANbzmcOTvmsPn8Zm5k3KCuo8y2LYSwrFdffZXXX3+dmTNnolbffi+bkydPsmDBAvr27Yu9vT0dO3bE398fe3t7EhMTOXnyJCdOnKBDhw689957DBo0qALPompIH6QaJsnUB+nOm9gBBNcxPEYmVcjuhBDCKl1JuQJAPVfzZiDGJnZr1qzg2LFj6HQ6du/ebVbmXsOgdWzZUrCumWczQnxDyNXn8tPJnyotbiGEKKucnBxGjBhxR8kRQN26dVm0aBExMTF8+umnNGnShOvXr3P27FkARo8ezaFDh9i/f3+1TI5AapBqHLMmdhUwf5FxoIaLSXe+LyGEsEbpOekkZycD4O9iPm/H1avGx8OmdSdPnjQr068fzJ0LW7eCTgfGZv2jWo/iSOwRVh1fxTOdnqm8ExBCiDIYO3YsP/zwA7Nnz66Q/Tk4OPDII4/wyCOPVMj+rIkkSDVMRfdBaphfg3Q+saADshBC1CQxaYaR5py0TrjYFgxXp9fDZUPLO+LiDprWF02QOnWCunXhxg3Yvx969jSsH9l6JK9sfYVdl3ZxPuE8jTwaVe6JCCHETeTl5fHee+/xxx9/0LZt22KDNCxatMhCkVkfaWJXwySZ+iBVTBO7IHdQqyAl2zDctxBC1DRXUw3VRP4u/madlq9dg5wcUKkUsrLOmdYXTZA0GhgwwPD8t98K1td3q0+/Rv0A+OrwV5UUvaitFKViPudF+VXXa3/s2DFCQkJQq9UcP36cI0eOmJaIiAhLh2dVpAaphikY5rtCWthhbwON6sDZBDhxDXycK2CnQghhRYwJkp+Ln9n66GjDo6enjmvXcrGxsSE3N5dLly6RlpaGs3PBDfHBB+H77+GXX+Cddwpq25/t9Cx/nP+Db458wxv3vIGtxrZKzknUXMZf/TMyMnBwcLBwNLVTRkYGQLEaGGu3Y8cOS4dQbUiCVMMUbmJXEQkSQEuvggTp3uAK2qkQQlgJ42SuRfsfRRnmjqVOnTSuXYOQkBCio6OJjY3l2LFjdO3a1VR24ECws4Nz5+DYMWjb1rD+/qb34+/iz9XUq6w5tYYRrUdUyTmJmkuj0eDu7k58fDwAjo6OZjWfNYFerycnJ4esrKw7HlCgIimKQkZGBvHx8bi7u6PRaCwd0h1JSUlh+/btNG/enObNm1s6HKsiCVINoiiQkD+KnYeDQnQF7beVF/x6Gk5eq6AdCiGEFTH2QfJ18jVbf/Gi4dHJKQGA+vXr4+Pjw4YNGwgPDzdLkFxcoH9/WLcOfv65IEGyUdvwVMhTvLH7DT4L/0wSJFEhfH0Nf6vGJKmmURSFzMxMHBwcrDL5c3d3N/0bVCf/93//R8+ePZk0aRKZmZl06tSJixcvoigKq1evZtiwYZYO0WpIglSDpOsgJ8/wvE4FDdIAhgQJDDVIQghR0xgTpKJN7PbvNzzWqWOoSvLy8qJevXps2LCBv//+u9h+hg0zJEg//QTz5xc0s3u649Ms3LuQPVF72Be9j271u1XauYjaQaVS4efnh7e3NzpdBUx6aGWMw+n37NnT6pqxabXaaltztHv3bl599VUA1qxZg6IoJCUl8e233/LWW29JglSIJEg1iLH2yE4DDhX4L2tMkC4lGwZrcLWruH0LIYSlxabFAuDnXJAgJSUVzGtUp84/gGHuj7vuugugxATpwQfB3h5OnoRDhwyj24FhbqUx7caw7MgyFu5dyPpR6yvvZEStotFoqu2X9ZvRaDTk5uZib29vdQlSdZacnIyHhwcAmzZtYtiwYTg6OjJ48GBmzJhh4eisi/U07BR3LDE/QarrULHDcddxAP/8vsinrlfcfoUQwhoY+yD5Ohc0mZk2DZKToWVL0GoPAYYEqXPnzgCcPXuWGzdumO3H3R2GDjU8DwszP8Yr3V9BrVKz4cwGjsYdrZwTEUKIm6hfvz779+8nPT2dTZs20a+fYZTNxMRE7O0rsOlRDSAJUg2SYBziuxIGtWnjY3g8Elvx+xZCCEsq2sTu0CFDgqNSwZdfQkKCoX1x3bp18fDwMHVm/vPPP4vta/x4w+PKlZCVVbC+Sd0mDG85HID5O+dX0pkIIUTppkyZwujRowkICMDf35/evXsDhqZ3bdq0sWxwVkYSpBok0TRAQ8Xvu3P+4E7hVyp+30IIYSnZudkkZBoGYTA2sXvrLcO20aOhRw9MNUV169YFoGf+TLC7d+8utr9774UGDQxN9H74wXzbnJ5zUKvUrPl3DXsu7amEsxFCiNI9//zz/PXXX3zzzTfs3bvXNEJgw4YNect44xOAJEg1yo38BKkiB2gwCq1nePz7Kuir5/xoQghRTFx6HABatRYPBw/OnoVffzVsmz3b8FieBEmthueeMzz/6CPD6KJGrbxb8VTIUwBM3zwdvaKv6NMRQoib6tixI0OHDjWbx23w4MF0797dglFZHxmkoQYx1iBVRhO7ll7gpDUM0nD6OrTwqvhjCCFEVTMO0ODr7ItKpeKrrwxJzaBB0KKFoUxpCdLhw4dJSkrC3d3dbJ8TJsAbb8CRI7BnD+QXB+CNe95g5fGVhF8N57///Jex7cdW7gkKIUQhly9fZt26dURFRZGTk2O2bdGiRRaKyvpIDVINcj0/QfJ0rPh926ihY/4ATweuVvz+hRDCEgoP0KAo8MsvhvXGvkQ5OTmkphqm3TYmSPXr16dZs2bk5eWxdevWYvusWxcef9zw/P33zbf5OPvw2t2vATBt8zTi0uIq+IyEEKJk27Zto1mzZnzxxRd88MEH7Nixg7CwML755hsiIiIsHZ5VkQSpBrmeYXj0rIQaJIC78pvZ7a+oGWiFEMLCCg/QcPo0nD8PtrYK/fsbthtrj9RqtVlN0cCBAwH4/fffS9zv9OmG5nYbNhgGfShsWtdptPdtT0JmApN/n1yxJySEEKWYNWsWL730EseOHcPe3p6ff/6Z6OhoevXqxfDhwy0dnlWRBKkGMSVIlVCDBHB3A8Pj3uiCCWmFEKI6M9Yg+Tn7sWKFcR6DXfz993YArl41VJn7+PiYzTczaNAgADZu3EheXvEbYtOmMGqU4fkbb5hv02q0fPPgN2hUGn48+SPfH/2+As9ICCFKdurUKcaMGQOAjY0NmZmZODs788Ybb/Duu+9aODrrIglSDXKjkhOktj7g5QhpOXDgcuUcQwghqpKpBsnZj2++MdzYcnJ+ZdiwYVy7do0rVwxDd9arV8/sfb169cLNzY3Y2NgSh/sGeO01Qy3SunWwd6/5thC/EF7raWhq98yGZzh9/XRFnpYQQhTj5ORk6nfk5+fH+fPnTduuX5eJLguTBKmGUBS4VskJkloF9wYbnm+JrJxjCCFEVTImSA5ZfsTFNctfu4WkpCS++uorUw1S0QTJ1taWIUOGAPDjjz+WuO/mzeEpw6B1TJkC+iKD1s3pOYfeQb1J16Uz/MfhpOWkVcQpCSFEibp06cLe/F9rBg0axPTp01mwYAHjx4+nS5cuFo7OukiCVEOk5UB2fiuPykqQAPo2NDxuu2A+fK0QQlRHV1MNCdCBn5oADmg0J1m2bDoA33//vakGyd/fv9h7/+///g+A1atXk52dXeL+33wTXFwM/ZBWrDDfplFrWPnwSnycfDgWf4xRP48iTy/tl4UQlWPRokWEhoYC8Prrr3Pffffxww8/EBQUxLJlyywcnXWRBKmGMM6B5Kg1LJWlR31wsIHLqXAwpvKOI4QQVeFKiiEBCt9u+PUnOHgnDz88FK1Wy8mTJ9m2bRtQvAYJoF+/fvj7+3P9+nV+NU6eVIS3N8yZY3j+0ktwtcgooH4ufvw68lfsbezZcGYDL/z+Aor8+iSEqAQNGzakbdu2gKG53ZIlSzh69Cg///wzgYGBFo7OukiCVENcSzc8VmbtEYCDFu5vanj+w/HKPZYQQlQmXZ6O+PR4SK9LdGR9AO6+OxZ3d3f69esHwP79+4GSEyQbGxvG548H/vnnn5d6nBdfhA4d4MYNw/DfRcd0CA0I5b9D/2vYz8HPeXnLy5IkCSGEBUmCVEPE5idIvk6Vf6yRrQyPG84aJo4VQojqKDYtFgUFzYXBGD4OI+jSJQCAx40TGeVr2bJlift45plnsLGxYdeuXRw8eLDEMra2sHIlODrC9u2wcGHxMo+0fIQlg5cA8J/9/2H2ttmSJAkh7lidOnXw8PAo0yIK2Fg6AFExYvP79vo6V/6xOvpBYw84lwDrz8DoNpV/TCGEqGhXUg3N6+yjB2P4jekPWrToBsBDDz1kVrZz584l7iMgIICRI0fy3Xff8fbbb/OLcabZIpo1g88+g3HjDE3u2rSBIofgmU7PkKvPZdLvk3jnz3e4kXmDzwd/jo1aPqqFELdn8eLFlg6hWpK7bg1hTJB8qiBBUqkMtUhv7YHVxyVBEkJUT9HJhlmvdefuzl+znRYtngTA3t6er7/+mgkTJvDWW2+hUqlK3c+sWbNYuXIla9as4cCBA6ZO0EU98YRhsIZPP4XRo2HPHggJMS8z8a6JqFVqJv0+ia8Of8XllMusfmQ1rnaud3q6QohaaOzYsZYOoVqSJnY1RFwVNrEDeLg52GrgaDzsjaqaYwohREWKTomGxEByEvyAXDw8/sXT09O0/cknnyQxMZFZs2bddD8tW7Y0Tb44efLkEieONfrwQ+jTB9LToX9/OHOmeJnnOj/HL//3Cw42Dvx+7nc6Le3Esbhjt3WOQgih1+t599136d69O507d2bmzJlkZmZaOiyrJglSDVGVNUgAdR3h0daG5+/tkyG/hRDVT3RyNEQZa48O0rx5QLEybm5uN609Mnr77bdxdXUlPDycJUuWlFrOxgZ++slQc3TtmiFZKjRXo8lDzR9i1xO7CHAN4GzCWUK/DmXpoaXSL0kIUW4LFixg9uzZODs7U69ePT766CMmTpxo6bCsmiRINYSpD1IV1SABTOpsGFL8nzj4/VzVHVcIISpCVEoURHXPf7WHZs2a3bT8zfj5+fH2228D8PLLL3Py5MlSy7q5wR9/GCaSjY6Gu++GEyeKl+tcrzNHnjlC/0b9yczN5JkNzzDg+wGmpoFCCFEWK1as4PPPP+ePP/5g7dq1rF+/nu+//x590dmrhYkkSDVArh6uphqeB1RhM3UvJ5iQ337+/X2QnVt1xxZCiDsVmRgJUT3yX/15RwkSwLPPPsu9995LRkYGw4YNIykpqdSyXl6wYwe0bg0xMYYkafv24uU8HT3ZOHoj/+n7H+xt7Nl8fjMtP2/J+3++T05ezh3FK4SoHaKiohg0aJDpdZ8+fVCpVFwtOjGbMJEEqQa4mgp5iqFPUFU1sTOa0AHqOsCFJFj0V9UeWwgh7sSFq4lwLb+tMPvuOEHSaDSsWrWKevXq8e+//3L//feTnp5eanlfX9i1C7p0gcREQ5+kTz8t3mRZrVIzvdt0Ip6JoFv9bqTlpPHy1pdpt6Qda/9dK83uhBA3lZubi729vdk6rVaLTqezUETWTxKkGiA6xfBY3xXUt24qX6Fc7OCd+wzPvzwEf12u2uMLIcTtSM5KJvl8cwBUqnPANZo3b37H+/X29mbDhg24ubnx559/0r9/f27cuFFqeQ8PQ83Ro49Cbi5MngzDhkFCQvGyzTybsWfcHr558Bu8HL349/q/DP1hKL1W9OKf1H8kURJClEhRFJ544gkefvhh05KVlcWzzz5rtk4UkASpBohKNjxWZfO6wvo1ghGtQAGm/gHxpf9gKoQQVuFcwjmINsx5pCh7sbGxoVGjRhWy7/bt2/P777+bkqTQ0FAOHTpUankHB/juO/jgA9BqYc0aaNsW1q4tXlatUjMuZBxnJp9hdo/ZONg48NeVv5h3fh69VvTitzO/oVekX4EQosDYsWPx9vbGzc3NtDz22GP4+/ubrRMFZB6kGsCYINW34DQZ83rC31cgMgnGroUfHgFXO8vFI4QQN3M24WyhARr20bhxY7RabYXtv2vXrvz5558MGjSI8+fP07VrV959912mTJlS4qh4KhVMmwa9esGoUXD2LAwdCg8+aEicGjc2L+9u786C+xYw6a5JvL37bZYeWspfV/7i/lX3E+gWyPiQ8YwPGU+Aa/GR+YQQtUtYWJilQ6h2pAapBjiX3xSjsYflYnCyhW8fAk8HOHkdnloPKdmWi0cIIW7mVNw5uGKc0PVPWrZsWeHHaNWqFUeOHGHIkCHodDqmTZvGgw8+SHx8fKnv6dgRIiJg1izDkODr1kGLFvD883DlSvHyfi5+LOq3iC9bfsm00Gm427tzKfkS83bOo+FHDXlq3VOcvXG2ws/N2iiKIk0MhRAVRmqQaoDT+c3bm9a1bByB7vDtEBjxMxy4Ag//D755EBpIra0Qwsrs+zsTdE5otMnk6U7RqtWwSjmOh4cHv/zyC1988QXTpk1jw4YNNGvWjDfffJNnnnmmxForR0d4+20YPRpmzIDff4cvvoCvvzasmz7dMPpdYXW0dXjnvnd46763+PnUz3x56Ev2Ru1l2ZFlhEWE0a9RP0a0GsGQ5kNwt3evlHOtLNczrnM8/jgXEs5z49wxdKdPYnM+EvsbKdinZuCYloNzeg42eYBahaJRo6jV6LU26OxtybO3Re9gj+LkiOLmhtq9DhqPutjW9cHRrwGu9RpSp14jvF39qGNfp0zzXgkhajZJkKq5TF1BE7tmFk6QAFp7w+ph8OQ6OJsAD/0Anw6E7vUtHZkQQhQ4Fm745cbe/hDpOoXWRTOOCqRSqXj++efp3r07TzzxBBEREUyePJn//Oc/vPLKK4wZMwYnp+KT2LVqBRs3Gka6mzsXdu+G5csNS7du8PTT8PDDUHhwKgetA4+1fYzH2j7Gvuh9LNy7kA1nNrDp3CY2ndvE0+ufpldQL+5vcj+DmgyisUdjq0kI9Iqe8wnnORRziIiLB0g99CfOR0/TJDKFDjEw4gY43XLQLQXIy190QGbZjg0kOMApZxVJbrak1XEm29ONPB9v1PUCsKvfEMf6DYm7kUxqVg88tFbwgSuEqDSSIFVzp28YPg48HMDT0dLRGLTxhvUj4cn1cCweHv0FhreA2Xcb4hRCCEvKys0i/kQrw/PMzYBhYIXK1q5dOw4ePMjSpUt5/fXXuXTpEs8//zwzZ85k9OjRjB49mm7duhVLWHr1MiRJf/0F//mPYfCGffsMy7PPwuDBGoKD/bn7bsOoeEbd6ndj/aj1nLlxhh+O/8D/Tv6P4/HH2XphK1svbGXKH1MIcg+ib8O+3BN0D90bdKeBW4NKvw5gaBJ3Meki4VfDOXj1IKfO7sfh78OEnM+gexQMuQL2ecXfl6dWkeLnQWZQANTzR1WnLjZ1PdHW9UZlb09eno48XQ65uTpys9LJTUshNzWFvPRUlJRkSElBnZKKNiUd+9QMnFOycc3IRQ14ZoJnpgLXsoFs4AZwwez4dwPpz77CeVcVN+o4kOblSraPJ0o9f7QNgnEKbkqdRq3xadyOOi7eVpN8CiHKR6VIo12rl5KSgpubG8nJybi6mo/EsOwIvLEb7g2CsIcK1ut0OjZu3MigQYMqtONxeWTq4K098P0xQxLnbg/PdIDH2lbtAA7WcC2shVyLAnItzN24cQNPT88S7zM1QeH76NEbp7i7eQvIcQU64OR0hpSUFNTqquuWm5mZyddff83HH3/MuXPnTOvr1avHgw8+yP3330+vXr1KrFmKiYGwMFixAk6fLlhva6twzz0qunc3zK3UuTO4u5u/98yNM/x25jfWn1nP3qi96PTmVTIBrgGE1gulnU872vq0pZV3KwLdAtFqbv//EUVRiEuP40T8CQ7HHGb/5f0cvvAnbY7Fc98F6HUJ2sUW7xSd5eZEVvs2OHbpge1dXQ3tCoOCwNb2tmMpUW4uJCSQHXOZpEunSbl0hswrl8i9ehlVbCy28ddxup5CnYRM3DLLNkKgHohzhut17Eiu60yWdx1y/XzR1AvArkFDXIOb4dGwFd4NWmBvayW/blqR6np/vtn3NVG9SIJUDdzsf7hnf4Pfz8Er3eD5zgXrrenmcjgGXt1uGLwBwMUWRrWG4S2rpt+UNV0LS5NrUUCuhbnalCDN+m4Tn0/8PzT2CeRledGr193s3LnTInHp9Xq2b9/Of//7X9asWUNqaqppm62tLd26daN379706tWL0NBQHBwKquEVBY4cgVWr8li5MpOrV4vPFN64MXTqZFg6d4aQEHBxMWxLy0lj96XdbD6/mb1Re4mIjSBPKV5to1apCXANoGGdhoT4htDRryMhfiE4aZ3QK3r0ip60nDSSspJIykoiJi2G6ORoolKiuJh0kZPXTpKQmUCdDBhwDh4+BQPPFW8ulx1cH23v+1Df3RO6d4cmTQzD+1kJnU7HH2vWcHfzRiRHniQl8hSZl86jXI5GExOHY3wi7tfT8EzWoS3jSOs6NcS7qEhwtyPVw5lsT3dyvTxR+/qhrVcfh4BgXAIaUqdBM+r6NcTmDhLV6qS63p8lQao5pIldNZarL5iYtbO/ZWO5mQ5+sH4UrDsNnx809E1aetiwtPSCwY2hd5DheVVPdCuEqH02bTR84XLzOEDCVT1du3a1WCxqtZo+ffrQp08fvvzyS7Zv386vv/7Kpk2biIqKYufOnabkzcbGhpCQEEJDQ+ncuTOdOnWiXbtmtGmjp3v3bQQHD2L3bi1//QX790NkJJw7Z1hWrzYcT6WC4GBo0wZatXKmRYtBjGk5iLd6ALZp/H3lb47EHOFo/FGOxh3l3+v/kpWbRVRyFFHJUey8uLPM5+aTCt2iYe4l6H0R2sWZb9cHNkA9aLChDWHPntj5+VXEJa1UeXZ2OLZoi1vbjqUX0uvJuhrF9bP/kHzhFBkXz5J7OQpVTCx2cddxuZ5CncQs6qbr0eqhXrJCveQsuJQFXAfOlbjbbA3EO6tJdtGS7upAZh0XdB5uKB4eqLy8sPHywd67Ho5+9XH2bYCbXzBunvVQqzWVci2EqMkkQarG9kVDYhbUdYAQK/9csVHDwy1gSHPYHgk/nIAdF+HkNcPy/n7wcoRO/oaEKsQHmnnKXEpCiIqVkplO5N5OAORm/ADAvffea8mQTOzt7Rk0aBCDBg1CURTOnj3Ltm3b2LVrF7t37yYmJobw8HDCw8NN73FwcKBVq1a4ubkxYMBZ2rZty5AhLQgICCAhQcWhQ3DwYMESHQ0XLhiWX381P76/vzNNm95Lkyb30rIRPNAIGnZWcPaJ54b+AmdunOFQzCEOxRziWNwxcvW5qFQqVAo0zHak8w172l1T0z46l1YXUqkbn0oxrVrBkCHw8MOoQ0KsqoaowqjV2AcEERAQRMA9D5VaTMnOJjnqDAnnT5B66QwZlyPJi7mCKi4e22s3cLyRgktyFnVSdLhkK9jlgX+yHv9kYx+pJCD6pqHo1HDdUUWqow0ZTrZkutiT4+xIrqszelcXcHNF7VYHTR0PtHU8sfXwxL6ON46evjjW8cHZ0w8HJ3dUVdj8VAhrIAlSFfnss894//33iY2NpV27dnzyySfcddddd7TP744ZHgc2NiQg1YFaBX0aGpbETEPzwO0X4c9ouJZheP17oR/P6rkYRucLdof6boYhwwNcwMcZ3Oxq5merEKLyvPVNOEryg6jskkhJ+gFHR0fuvvtuS4dVQFEgOxtVRgZNnZxo2qcPz3XvjjJ1KrGRkfwbEcGFkye5dOYMVyIjUTIz0R48iAa4tG0b0cBvgJ2tLfUCAmjUtCnDmjVjYrcAXO73IC3Hnqg4Oy5csePCVXvOXbbn9EU74pNtyblqS/RVLRd3atiKggoFG3JxIBNfF4Wmfr6ENryLZwOCaezcA9urFw2Z1vnzkHi9+LmoVIaEqGdP6N3b8OjjU6WX05qp7Oxwb9IG9yZtblk2Lz2NxOgzJF08TVrMRbJjLqOLj0GJj0edkIg2MRn75HQcU7NwTc3BLUOPXR5o9eCdpuCdpsMwql86hsEnyk6nhjQ7Fen2arLsNGTZa8mx16JztCXXwY48B3v0jg4oDg7g5IjK0QmVoxNqJ2c0zi5oHF2wcXJG6+SK1tkVrZMLds7u2Dq5Yufkhp2zG3ZOrrW2pqu83w9//PFH5syZw8WLF2nSpAnvvvsugwYNqsKIawdJkKrADz/8wLRp01iyZAmhoaEsXryY/v37c/r0aby9vW9rnzsuwh/nQQWMbVeh4VaZOg7waBvDkp0LEXGG/kqHYuB4PMSkwZVUw1ISexvwdjLUoHnkL2524GZveHSxA2ct2GtURGW7czYBXB3AwQYctGCnAU01SSyFEBVj2YeGOQc8fX7hWlQWDz/8GPaFx8kuj+xsSE2FlBRISzM8T0szf258TE83f8zIMDwvvGRkGBZ98Q4sKsAvf7mnLLHl5BRUFW3aZFrtCrTOX8olNX85U/JmvUrNjTpNSKzfhvSmIeSEdEF9Vyfc6rvi5gZubmBnZzgPUX4aJ2c8m3fAs3mHsr1BUchJSyb5aiQpMRfJvB5DVnwMOQnx5N24jj4xAVVKCprkVGzSMrBNy8QuPRuHTB2Ombk4ZetxzjHsSquHOpkKdTKNw6fnVMo5Zmsg2waybVTobNS01cAlWw25NmpybTTk2mrIs9GQp7VBr9Wg19qgt9Wi2Nig19qAjQ2KrRa0hRZbW9BqUWkLHlVaLWqtLdjaoraxRW1ri9rWzrRerbVFY2Nb8NzWzmy9RmuLWqM1vM9Gi42NHWpbw7aMzOxynXN5vx/u27ePUaNGsXDhQu6//35WrlzJkCFDOHz4cKVOVVAbySANVcDYXvzTTz8FDJ1y69evz+TJk5k5c+Yt32/s9Pf53mSwc+Xf67DhrKEP0mNtYEEJrUOqawfHwpKzDMOYn7kBl5IN8z1FpUBMqqFpYUXQqsHOxpAs2WpAq8lfpzHUytnkv7YpsqhVBY+a/EVd6LW60KIq/JyCR1X+tqLroGC9qtBzCm83/cd8m+l5SeWBvLw8Tp46ScsWLbGxKfnXupJq5crzpaa8X4CqohawpEPk5eVx/PhxWrdujUZTO3+5LCwtOZHnenrU2M7FxvvoOBZhq84B/RuoyODVV18lICDAUHMDhke9vuAxN9eQtFy5AmfPGtqoJSVBcrIhCalMNjbg4GC+2NsbFjs7w5c/W1v0ajWx16/jW68eahsb8hSFtNRUrl+7xrW4OBKvXUOXmYkWsAXsiiwOYNqmBTQYRh5VgFwgAxUZaEnHkWv4cY3GxNOQSwRygYZEEsxZmpDFzedxUKl02NhkYGubia1tFnZ2OWi1udjY5KHR5GFjk4eNjR61WkGj0aPRKGg0Sv5rUKsVw302/1GlMj5iegTF0OxPZdhe+J5a+NHYYqzoMNxF70eFX+v1emJiYvD39zMb8bAi72HW1CpClafDRpeONjsFm5xUbHWpaHPSsc3NwFaXgZ0uA9vcTGxzM7HLzcYuLxP73Gzs87Kx1edgn2dYHPJ02Co67PW5OOiNj7nYKXnFRi6s7lIANyjzfbS83w9HjBhBeno6GzZsMK3r0qUL7du3Z8mSJRV1GgKpQap0OTk5HDp0iFmzZpnWGTvl7t+/v8T3ZGdnk51d8CtEcrJhJti3tqagLvRD54BGMDXE8ONlUTqdjoyMDFJSUqptgqQCmrsYlqKycuFaOsRnGJrqJWZBQgak6iAlC1JyID0H0nIgLUchISUTtA5k6FTkFPpx1tiSu3YJhKvplg7CSgTLtcinzzJch5r6m5nxvN5gGq6FK2gWLKCEW2j59u3gAM7OhsXJCSX/EUdHcHZGMT53cjJsN742Lk5OKPb2Zq+xtzf8Al4GOp2OXTt2cM8995jd793zFzD8IHDt2jXi4uK4ev06165dIyEhgaSkJBITE0lNTSUlJYX09HTS09PJzMwkKyuLzMxMcnJy8j+XUtDrk4BTgA/gn//oC3gCXvmPHkCd/MUDQ72VIefU6VTodI6kp8vQ1kLBBh32ZGFHNnZkY082tvnPbcnBlhzsyEaLzrSu8HPj69IWw/ZcNOSiRYdN/qOGPLPXNuSiIQ8bcs2eF15nfF14scG8ttd4LzF+bzOys7PDzs68U/XtfD/cv38/06ZNM1vXv39/1q5de3v/BKJUkiBVsuvXr5OXl4dPkXbXPj4+/PvvvyW+Z+HChbz++uvF1l+dX9/s9df5ixBCVJQbN27g5uZm6TAqnHH47Pq3KHdbMjMNy7VrlbF3KxWXvwhx+3KBtPylJmnQwHzC5Xnz5jF//nyzdbfz/TA2NrbE8rGxsXcetDAjCZIVmjVrltkvBHq9noSEBOrWrVvmWblTUlKoX78+0dHRNbK5THnItSgg16KAXAtzycnJNGjQAA8PD0uHUin8/f2Jjo7GxcWlzPfR6kL+lquGXOeqU12vtaIo3LhxAw8PD7NmmEVrj4T1kwSpknl6eqLRaIiLM/+lLS4uDl9f3xLfU1JVrHvR6dDLyNXVtVrdXCqTXIsCci0KyLUwp66hw/mq1WpDX6MaTP6Wq4Zc56pTHa91WWvgb+f7oa+vb7nKi9tXMz8JrYitrS0dO3Zk27ZtpnV6vZ5t27ZZdHJCIYQQQghhGbfz/bBr165m5QG2bNki3ycrgdQgVYFp06YxduxYOnXqxF133cXixYtJT09n3Lhxlg5NCCGEEEJYwK2+H44ZM4Z69eqxcOFCAF588UV69erFBx98wODBg1m9ejUHDx5k6dKlljyNGkkSpCowYsQIrl27xty5c4mNjaV9+/Zs2rSpWEe7imRnZ8e8efOk3StyLQqTa1FAroU5uR7Vl/zbVQ25zlWntlzrW30/jIqKMmv23K1bN1auXMlrr73G7NmzadKkCWvXrpU5kCqBzIMkhBBCCCGEEPmkD5IQQgghhBBC5JMESQghhBBCCCHySYIkhBBCCCGEEPkkQRJCCCGEEEKIfJIgCSGEEEIIIUQ+SZCEEEIIIYQQIp8kSEIIIYQQQgiRTxIkIYQQQgghhMgnCZIQQgghhBBC5JMESQghhBBCCCHySYIkhBBCCCGEEPnuKEHKysqqqDiEEEIIIYQQwuLKnSDp9XrefPNN6tWrh7OzMxcuXABgzpw5LFu2rMIDFEIIIYQQQoiqUu4E6a233mL58uW899572Nramta3bt2ar7/+ukKDE0IIIYQQQoiqVO4EacWKFSxdupTRo0ej0WhM69u1a8e///5bocGJ25ednc38+fPJzs62dCgWJ9eigFyLAnItzMn1EEIIIQxUiqIo5XmDg4MD//77L4GBgbi4uPDPP//QsGFDTp48yV133UVaWlplxSrKISUlBTc3N5KTk3F1dbV0OBYl16KAXIsCci3MyfUQQgghDMpdg9SyZUv27NlTbP1PP/1ESEhIhQQlhBBCCCGEEJZgU943zJ07l7Fjx3LlyhX0ej2//PILp0+fZsWKFWzYsKEyYhRCCCGEEEKIKlHuBOmhhx5i/fr1vPHGGzg5OTF37lw6dOjA+vXr6du3b2XEWOvp9XquXr2Ki4sLKpWqTO9JSUkxe6zN5FoUkGtRQK6FueTkZMBwv6mJbuc+KoQQ5aEoCqmpqfj7+6NWy1Sj1Vm5+yCJqnf58mXq169v6TCEELXA+fPnadiwoaXDqHByHxVCVJXo6GgCAgIsHYa4A+WuQWrYsCHh4eHUrVvXbH1SUhIdOnQwzYskKo6Liwtg+B+urJ2ndTodmzdvpl+/fmi12soMz+rJtSgg16KAXAtzCQkJBAcHF7u31xS3cx+taPI3V3HkWlYcuZYVx3gfNd5vRPVV7gTp4sWL5OXlFVufnZ3NlStXKiQoYc7YHMTV1bVcCZKjoyOurq61/oYn16KAXIsCci3M6XQ6gBrb/Ox27qMVTf7mKo5cy4oj17Li1PT7aG1S5gRp3bp1pud//PEHbm5uptd5eXls27aNoKCgCg1OCCGEEEIIIapSmROkIUOGAIaseOzYsWbbtFotQUFBfPDBBxUanBBCCCGEEEJUpTInSMaRjYKDgwkPD8fT07PSghJVKy4tDjsbO9zt3S0dihBCiApw8eJFfHx8cHBwsHQoQghR7ZS7D1JkZGRlxCEsJC0njWafNkOtUhPxbAQN3BpYOiRRQ+n1enJyciwdholOp8PGxoasrKwS+1XWNFqtFo1GY+kwRBXYvHkz/fv3x8vLiylTpvD888/j7u5u6bCEEKLaKHeCBJCens6uXbuIiooq9oXnhRdeqJDARNW4lHSJ5GzD/CdDVg9h35P7sLext3BUoqbJyckhMjLSqubYURQFX19foqOja02HWnd3d3x9fWvN+dZWmzZtAuDatWu8+uqrvPvuu8yfP5+pU6daODIhhKgeyp0gHTlyhEGDBpGRkUF6ejoeHh5cv34dR0dHvL29rSZB2r17N++//z6HDh0iJiaGNWvWmPpRgeHL0bx58/jqq69ISkqie/fufPHFFzRp0sRUJiEhgcmTJ7N+/XrUajXDhg3jo48+wtnZ2VTm6NGjTJw4kfDwcLy8vJg8eTIvv/yyWSw//vgjc+bM4eLFizRp0oR3332XQYMGVfo1KIsbmTdMz4/EHmF75HYGNbGO2ETNoCgKMTExaDQa6tevbzWT5+n1etLS0nB2draamCqLoihkZGQQHx8PgJ+fn4UjEpXpn3/+AWD06NFERERw4sQJZsyYwcSJE7G1tbVwdEIIYf3KnSBNnTqVBx54gCVLluDm5sZff/2FVqvlscce48UXX6yMGG9Leno67dq1Y/z48Tz88MPFtr/33nt8/PHHfPvttwQHBzNnzhz69+/PyZMnsbc31KCMHj2amJgYtmzZgk6nY9y4cTz99NOsXLkSgJSUFPr160efPn1YsmQJx44dY/z48bi7u/P0008DsG/fPkaNGsXChQu5//77WblyJUOGDOHw4cO0bt266i5IKRIyE8xe38i4UUpJIW5Pbm4uGRkZ+Pv74+joaOlwTIxN/uzt7Wt8ggSY+qLEx8fj7e0tze1qKEVRTAnS1KlTCQkJwdnZmczMTKKjo2nUqJGFIxRCCOtX7m8FERERTJ8+HbVajUajITs7m/r16/Pee+8xe/bsyojxtgwcOJC33nqLoUOHFtumKAqLFy/mtdde46GHHqJt27asWLGCq1evsnbtWgBOnTrFpk2b+PrrrwkNDaVHjx588sknrF69mqtXrwLw/fffk5OTwzfffEOrVq0YOXIkL7zwAosWLTId66OPPmLAgAHMmDGDFi1a8Oabb9KhQwc+/fTTKrkOt1I0IUrLSbNQJKKmMvbvkV+uLc+YoBrn6hA1T0xMDDdu3ECtVtOqVSvUajUNGhj6ll66dMnC0QkhRPVQ7gRJq9Wafm319vYmKioKADc3N6Kjoys2ukoSGRlJbGwsffr0Ma1zc3MjNDSU/fv3A7B//37c3d3p1KmTqUyfPn1Qq9UcOHDAVKZnz55mX/z69+/P6dOnSUxMNJUpfBxjGeNxSpKdnU1KSorZUlmK1iBJgiQqi/R7sTz5N6j5jLVHzZo1M7WGCAwMBCRBEkKIsip3ghQSEkJ4eDgAvXr1Yu7cuXz//fdMmTLFKpqMlUVsbCwAPj4+Zut9fHxM22JjY/H29jbbbmNjg4eHh1mZkvZR+BillTFuL8nChQtxc3MzLfXr1y/vKZZZ4T5IAOm69Eo7lhBCiMp19OhRANq1a2daJwmSEEKUT7kTpLffftvUwXfBggXUqVOH5557jmvXrvHll19WeIC10axZs0hOTjYtlVkzJzVIQghRcxhrkNq2bWtaJwmSEEKUT7kHaSjc5Mzb29s0nGh14uvrC0BcXJzZaE5xcXG0b9/eVMY44pNRbm4uCQkJpvf7+voSFxdnVsb4+lZljNtLYmdnh52d3W2cWfkZa5B8nHyIS4+TBEmIambDhg1MnjwZLy8vvv/+e7OROEXtY0yQCtcgSR8kIYQonwobuunw4cPcf//9FbW7ShUcHIyvry/btm0zrUtJSeHAgQN07doVgK5du5KUlMShQ4dMZbZv345eryc0NNRUZvfu3WYdnrds2UKzZs2oU6eOqUzh4xjLGI9jacZBGgLdDb8wSoIkRPUyffp0vvrqK0aPHs2cOXMsHY6woKysLE6fPg1IEzshhLgT5UqQ/vjjD1566SVmz57NhQsXAPj3338ZMmQInTt3tqpJINPS0oiIiCAiIgIwDMwQERFBVFQUKpWKKVOm8NZbb7Fu3TqOHTvGmDFj8Pf3N82V1KJFCwYMGMCECRP4+++/+fPPP5k0aRIjR47E398fgEcffRRbW1uefPJJTpw4wQ8//MBHH33EtGnTTHG8+OKLbNq0iQ8++IB///2X+fPnc/DgQSZNmlTVl6RExiZ2DdwMvzBKgiRE9VK3bl0aN25MUFCQjBRYy508eZK8vDw8PDxMn1NQkCBFR0db1ee0EEJYqzInSMuWLWPgwIEsX76cd999ly5duvDdd9/RtWtXfH19OX78OBs3bqzMWMvl4MGDhISEEBISAsC0adMICQlh7ty5ALz88stMnjyZp59+ms6dO5OWlsamTZtMo/6AYRjv5s2bc9999zFo0CB69OjB0qVLTdvd3NzYvHkzkZGRdOzYkenTpzN37lzTHEgA3bp1Y+XKlSxdupR27drx008/sXbtWqsZ0MLYxC7QTWqQhChq/vz5qFQqs6V58+Zl3h4UFFRsu0qlYuLEieUqczPjxo2jUaNGPPfccyxevLjCzl1UP4UHaCg8YmG9evXQaDTodDpiYmIsFZ4Qoojdu3fzwAMP4O/vj0qlMk01Y6QoCnPnzsXPzw8HBwf69OnD2bNnzcokJCQwevRoXF1dcXd358knnyQtzfy73NGjR7n77ruxt7c3Tc1T1I8//kjz5s2xt7enTZs2xb7TlyWWW8nNzWXr1q18+eWXpKamAnD16tVi8VqDMvdB+uijj3j33XeZMWMGP//8M8OHD+fzzz/n2LFjBAQEVGaMt6V3794oilLqdpVKxRtvvMEbb7xRahkPDw/TpLCladu2LXv27LlpmeHDhzN8+PCbB2whUoMkxM21atWKrVu3ml7b2NiUeXt4eLhpHiiA48eP07dvX7P7QVnKlCY3N5ePPvqIl19+mc8++8zUtFfUTiUN0ACGv8l69eoRFRXFpUuXqFevniXCE0IUkZ6eTrt27Rg/fjwPP/xwse3vvfceH3/8Md9++y3BwcHMmTOH/v37c/LkSdMP+qNHjyYmJoYtW7ag0+kYN24cTz/9tOn7a0pKCv369aNPnz4sWbKEY8eOMX78eNzd3U0/6O/bt49Ro0axcOFC7r//flauXMmQIUM4fPiw6Qf9ssRyM5cuXWLAgAFERUWRnZ1N3759cXFx4d133yU7O5slS5ZU1GWtEGWuQTp//rzpA/vhhx/GxsaG999/3yqTI1E2GboMsnKzAKlBEqI0NjY2+Pr6mhZPT88yb/fy8jLbtmHDBho1akSvXr3KVaY0S5YsoWHDhkycOJHU1FRT02dRO5U0QIOR9EMSwvoMHDiQt956i6FDhxbbpigKixcv5rXXXuOhhx6ibdu2rFixgqtXr5pqmk6dOsWmTZv4+uuvCQ0NpUePHnzyySesXr2aq1evAobWUDk5OXzzzTe0atWKkSNH8sILL7Bo0SLTsT766CMGDBjAjBkzaNGiBW+++SYdOnTg008/LXMst/Liiy/SqVMnEhMTcXBwMK0fOnRosb761qDMNUiZmZmmWdhVKhV2dnZmI8CJ6sdYe2SjtsHX2TCqniRIorIpikKGLsMix3bUOpZ7stSzZ8/i7++Pvb09Xbt2ZeHChaZRwcqy3SgnJ4fvvvuOadOmlRpDWcoYJSQk8Oabb7Jz504CAgJwc3MjIiKCRo0alev8ahudTmc2sE5VH7vwY0U7deoUAM2bNy92DON8ehcuXLDY+Vekyr6WtYlcy4pjvIYpKSlm629ndOLIyEhiY2Pp06ePaZ2bmxuhoaHs37+fkSNHsn//ftzd3c1GmO7Tpw9qtZoDBw4wdOhQ9u/fT8+ePc36qPbv3593332XxMRE6tSpw/79+836zxvLGJOfssRyK3v27GHfvn3F+soGBQVx5cqVcl2bqlCuYb6//vprnJ2dAUPTjuXLlxf7NfWFF16ouOhEpUrPMUwK62zrjIudCyAJkqh8GboMnBc6W+TYabPScLJ1KnP50NBQli9fTrNmzYiJieH111/n7rvv5vjx47i4uNxye2Fr164lKSmJJ554otTjlaWM0bx58xg6dCgtWrQAoGXLlvzzzz8MGzaszOdXG23evNn0Y5+lbNmypcL3mZeXZ5qa4vTp08WmqTB+cdu7d6/V9IGtCJVxLWsruZZ3LiPD8OOf8QcJo3nz5jF//vxy7Ss2NhYAHx8fs/U+Pj6mbbGxsXh7e5ttt7GxwcPDw6xMcHBwsX0Yt9WpU4fY2NhbHudWsdyKXq83a05udPny5WKfl9agzAlSgwYN+Oqrr0yvfX19+e9//2tWRqVSSYJUjWTmZgKGX9WdbQ1fWCVBEqLAwIEDTc/btm1LaGgogYGB/O9//+PJJ5+85fbCjAPdFB5drKiylAHDaGXfffedqcYAoHXr1qZRO0Xp+vXrh6urq0WOrdPp2LJlC3379kWr1VbovmNjY9Hr9ajVakaOHIlGozHbHhMTw48//gjAoEGDKvTYllCZ17K2kWtZcW7cMAx8FR0dbXafqaq5La1Zv379WLx4sWmwM5VKRVpaGvPmzbPKe1KZE6SLFy9WYhjCEozNnBxsHEwJUnZeNro8HVqN3CRF5XDUOpI2yzKJuKP2zmoO3N3dadq0KefOnSvX9kuXLrF161Z++eWXUvddljJGU6dOJSkpyawPqF6vL/arpShOq9Va/EtgZcRw/fp1wNCnraQO0w0bNgQgKirK4udfkazh37OmkGt554zXz9XV9Y5/iPH1NXR9iIuLM+vSEhcXR/v27U1litYW5+bmkpCQYHq/r68vcXFxZmWMr29VpvD2W8VyKx988AH9+/enZcuWZGVl8eijj3L27Fk8PT1ZtWpVmfZRlSpsolhR/RgTpMI1SADpunRLhSRqAZVKhZOtk0WW8vY/KiotLY3z58+X2v+ytO1hYWF4e3szePDgUvddljIAGzZs4NChQxw5csQ011tERATLli0jKiqKxMTE8p+YqPaMzVxK+9ssPEjDzUZ4FUJYh+DgYHx9fc0GMEhJSeHAgQN07doVgK5du5KUlMShQ4dMZbZv345eryc0NNRUZvfu3WZ9zLZs2UKzZs1MI5927dq12EAJW7ZsMR2nLLHcSkBAAP/88w+vvvoqU6dOJSQkhHfeeYcjR44UayZoDcrVB0nULJk6QxM7B60DthpbtGotOr2OtJw03O3dLRucEFbgpZde4oEHHiAwMJCrV68yb948NBoNo0aNKtN2MNTshIWFMXbs2GJDhJenDBiawkyfPp0ZM2YU+9XO+GvlP//8Q+/eve/sxEW1Y0yQjL/0FmUcOCQ9PZ2EhATq1q1bZbEJIUqWlpZm1uIgMjKSiIgIPDw8aNCgAVOmTOGtt96iSZMmpqG1/f39GTJkCAAtWrRgwIABTJgwgSVLlqDT6Zg0aRIjR440NdV+9NFHef3113nyySd55ZVXOH78OB999BEffvih6bgvvvgivXr14oMPPmDw4MGsXr2agwcPmjWHu1Ust7J79266devG6NGjGT16tGl9bm4uu3fvpmfPnnd4NSuWJEi1WOEaJDAM1pCYlSj9kITId/nyZUaNGsWNGzfw8vKiR48e/PXXX3h5eZVpO8DWrVuJiopi/PjxpR6nLGUAPvnkE5KSkpg0aVKxbfXr18fR0ZGIiAhJkGqhWyVIDg4OeHt7Ex8fT1RUlCRIQliBgwcPcs8995heG0eSGzt2LMuXL+fll18mPT2dp59+mqSkJHr06MGmTZvMmtF+//33TJo0ifvuuw+1Ws2wYcP4+OOPTdvd3NzYvHkzEydOpGPHjnh6ejJ37lzTHEgA3bp1Y+XKlbz22mvMnj2bJk2asHbtWrMBXcoSy83cc889xMTEFKstSk5O5p577ilxAAdLkgSpFjMO0uBgYxiPXhIkIcytXr36jraDoWPqrZo0laUMGD48iw7FaqRSqUhPl+axtdWtEiQwNLOLj4/n0qVLhISEVFVoQohS9O7d+6b3fpVKxRtvvMEbb7xRahkPDw/TpLCladu2LXv27LlpmeHDh990gvKyxHIziqKU2Mz9xo0bODmVfXTZqiIJUi1WUg0SyEh2QghR3cTExACl90ECQ4IUHh4uk8UKIarMww8/DBgSrCeeeMJsRL+8vDyOHj1Kt27dLBVeqW4rQdLr9Zw7d474+Hj0er3ZNmtrQyhKV7gPEkiCJIQQ1VVZa5AASZCEEFXGzc0NMNQgubi44ODgYNpma2tLly5dmDBhgqXCK1W5E6S//vqLRx99tMSRcFQq1W23IdTpdMTGxpKRkYGXlxceHh63tR9RdqYaJBupQRJCiOpMEiQhhDUKCwsDICgoiJdeeqlCm9NVZu5Q7mG+n332WTp16sTx48dJSEggMTHRtCQkJJRrX6mpqXzxxRf06tULV1dXgoKCaNGiBV5eXgQGBjJhwgTCw8PLG6IoI1MfJKlBEkKIak0SJCGENZs3b16FJEdVlTuUuwbp7Nmz/PTTTzRu3PiODrxo0SIWLFhAo0aNeOCBB5g9ezb+/v44ODiQkJDA8ePH2bNnD/369SM0NJRPPvmEJk2a3NExhTnpgySEENVfeno6qampgCRIQgjr9dNPP/G///2PqKgocnJyzLYdPnz4lu+vytyh3AlSaGgo586du+MEKTw8nN27d9OqVasSt991112MHz+eJUuWEBYWxp49eyRBqmCmPkg2UoMkKp9MTml5RfuMiprBWHvk6OiIi4tLqeWMCdL169dJT0+3ypGjhBA108cff8yrr77KE088wa+//sq4ceM4f/484eHhTJw4sUz7qMrcodwJ0uTJk5k+fTqxsbG0adMGrVZrtr1t27Zl2s+qVavKVM7Ozo5nn322vGGKMsjIlRokUfm0Wi0qlYpr167h5eVV4jCflqDX68nJySErKwu1utytjasVRVHIycnh2rVrqNVqbG1tLR2SqECFm9fd7P8vd3d3XF1dSUlJISoqihYtWlRViEKIWu7zzz9n6dKljBo1yjTHU8OGDZk7d26Zu+hUZe5Q7gRp2LBhAGYTGqpUKtP45tY20ZMonYxiJ6qCRqMhICCAy5cvc/HiRUuHY6IoCpmZmTg4OFhN0lbZHB0dadCgQY1PCGubsvQ/MgoMDOTYsWNcvHhREiQhRJWJiooyDeft4OBgahb8+OOP06VLFz799FNLhldMuROkyMjIyogDgAMHDhAaGlpp+xfmpA+SqCrOzs40adIEnU5n6VBMdDodu3fvpmfPnsVqwmsijUaDjY1NrUkGa5PyJEhNmzbl2LFjnD59moEDB1Z2aEIIARjuTwkJCQQGBtKgQQP++usv2rVrR2Rk5B01wa+s3KHcCZKxDXNlGD58OFFRUZW2f2HONIpdfh8kVztXAFKyUywWk6i5NBoNGo3G0mGYaDQacnNzsbe3rxUJkqi5yjJJrFHLli35+eefOXnyZGWHJYQQJvfeey/r1q0jJCSEcePGMXXqVH766ScOHjxomkz2dlRW7nBbE8WeP3+exYsXc+rUKcBww33xxRdp1KjRLd/7f//3fyWuVxSl3MOEiztTtAbJ3d4dgOTsZEuFJIQQopzKU4NkbFYnCZIQoiotXbrUNFDQxIkTqVu3Lvv27ePBBx/kmWeeuel7LZE7lDtB+uOPP3jwwQdp37493bt3B+DPP/+kVatWrF+/nr59+970/Vu3buW///0vzs7OZusVRWH37t3lDUfcgaJ9kIwJUmJmoqVCEkIIUU7lSZBatmwJGBIkY99hIYSobGq12qz/68iRIxk5ciQAV65coV69eqW+1xK5Q7kTpJkzZzJ16lTeeeedYutfeeWVWyZIvXv3xsXFhZ49exbbVtYR8ETFKK0GKSkryUIRCSGEKK/y9kFSq9UkJiYSFxdXpvcIIURliI2NZcGCBSxbtoyMjIxSy1kidyj3UEanTp3iySefLLZ+/PjxZaqy/+WXX0o8QYAtW7aUNxxxB4r2QZIESQghqp/yJEgODg40bNgQwNRMXgghKktiYiKjRo3C09MTf39/Pv74Y/R6PXPnzqVhw4aEh4cTFhZ2031YIncod4Lk5eVFREREsfURERF4e3uXOwDjjV1UvZv1QdIrMqGkEEJYO71eT1xcHFC2QRrAvJmdEEJUppkzZ7Jv3z6eeOIJ6taty9SpU7n//vs5fPgw27dv56+//mLEiBHl2mdV5A7lTpAmTJjA008/zbvvvsuePXvYs2cP77zzDs888wwTJkwodwD9+vUr93tExSitD5Je0ctQ30IIUQ3cuHGD3NxcgDL/SCkDNQghqsrvv/9OWFgY//nPf1i/fj2KotC+fXs2bNhAly5dbmufVZE7lLsP0pw5c3BxceGDDz5g1qxZAPj7+zN//nxeeOGFcgdwJ2Ofi9uXp88jOy8bKKhBsrexx05jR3ZeNklZSaZhv4UQQlgn4y+pnp6eZR6uXmqQhBBV5erVq6YfZYKCgrC3t+exxx67o31WRe5Q7gRJpVIxdepUpk6dapoF18XF5bYDkBF0LCMrN8v03NgHCf6fvfuOb6J+Azj+SdNNFy20ZRXK3hvKUIZAy1C2sgQERFFAoIqAylSWg6ECVVDQnyCgggMQKGUPActQpuyW0RZa2gLd7f3+OJI20EJH0nQ8b1/3SnJ3uTw5YnpPvt/v81VbkcIfhBOdEI2Xs5c5QhNCCJFNORl/pCMJkhAivyiKgqVlerqh1Wqxs7N7wjOeLj9yh1zNg6STl8RImJdu/BGkd7EDwwRJCCFEwaabJDYnCVLNmjUBiIiIIDIyEjc3N5PEJoQQiqLQoUMHfZIUHx/PCy+8gLW1tcF+x44dM0d4WcpWgtS4cWOCgoIoWbIkjRo1emLmVtDeoMicLkGy0dpgoUkfiiaV7IQQIv/Fx8dja2ub419Gr169CkDFihWz/RwHBwe8vLwICQnh7NmzPPPMMzl6TSGEyK7p06cbPO7Ro4eZIsmZbCVIPXr0wMbGBoCePXsaNQCtVmvU44ns0RVhcLA2nHRLEiQhhMg/KSkpfPzxx8ycOZN69eqxYsUKGjZsmO3nX7lyBQBvb+8cvW7t2rUJCQnhzJkzkiAJIUzm0QTJGPIjd8hWgpTxzRn7jR4/ftyoxxPZcy/p4fgxG8NukpIgCSFE/lAUhe7du/Pnn38CEBwcTNOmTdm8eTN+fn7ZOsbly5cB9HMbZVft2rXZunWrjEMSQhQ6+ZE75LjMd2hoKNevX9c/PnLkCOPHj+frr7/OdRDx8fEGM+heu3aNRYsWsX379lwfUzzZvcSHCZK1JEhCCGEO27Zt488//8TW1pZly5bx/PPPk5qaypgxY0hKSsrWMXQJUm5akEAKNQghCidT5w45TpAGDhzIrl27ALV6TseOHTly5Ajvv/8+s2bNylUQPXr04PvvvwcgOjoaHx8fPvvsM3r06MGyZctydUzxZNKCJIQQ5qMoCh9++CEAo0ePZtSoUaxZswZPT08uXrzIl19++dRjJCYmcuPGDSB3LUggCZIQonAyde6Q4wTp1KlTNG/eHID169dTr149Dh48yOrVq1m1alWugjh27BjPPvssAD///DMeHh5cu3aN77//ns8//zxXxxRPJi1IQghhPnv27OHgwYPY2Njw9ttvA2pl2I8++giAWbNmERsb+8RjXLt2DUVRsLe3p3Tp0jl6fd28JDdu3Hjq6wghREFj6twhxwlScnKyvmDDjh076N69O6CWDdWVG82puLg4fcnw7du307t3bywsLGjRogXXrl3L1THFk0kLkhBCmI/uF84RI0ZQpkwZ/fpXXnmFGjVqEBMTw7p16554DF2BhsqVK+e4+p2Li4v+dc+ePZuj5wohhLmZOnfIcYJUp04dAgIC2LdvH4GBgXTu3BlQZ8rN7VwKVatW5ddffyU0NJRt27bh6+sLqHM0ODk55eqY4sme1oJ0N+FufockhBDFQlJSElu3bgVgyJAhBtu0Wi0jRowA4JtvvnnicXJboEFHutkJIfJTUFAQ7733Hq+++irDhw83WHLK1LlDjhOk+fPn89VXX9GuXTsGDBhAgwYNAPj999/1Xe9yatq0abzzzjtUqlQJHx8fWrZsCagZYaNGjXJ1TPFk+hYk6WInhBD56sCBA8TGxlK6dGmaNWv22PYhQ4ZgaWnJ4cOHOX36dJbHyW2Jbx1dgvSk1xBCCGOYOXMmvr6+BAUFcefOHe7evWuw5JSpc4dslfnOqF27dty5c4fY2FhKliypX//aa69hb2+fqyD69u3LM888w61bt/QJF0CHDh3o1atXro4pnkzfgiRd7IQQIl9t2bIFgG7dumFh8fjvlB4eHjz//PP8+uuvfPPNNyxYsCDT4+S1BalevXoAnDhxIlfPF0KI7AoICGDVqlUMHjzYKMczde6Q4xak+Ph4EhMT9cmRrqze+fPncXd3z3Ugnp6eNGrUyOCPRfPmzalZs2aujylUoTGhhN0PM1gXm6QOypUWJCGEyF+6BOn555/Pch9dl5O1a9eSlpaW6T55bUHS9fo4evRolq8hhBDGkJSURKtWrYx6TFPmDjlOkLIqq9ezZ08pyV0A/Rf5HzW+rEH5BeX55cwv+vVPa0GKSYghNS013+IUQoji4ObNm1y4cAErKys6deqU5X6+vr44Oztz69YtDh06lOk+eW1BqlOnDnZ2dsTGxnL+/PlcHUMIIbLj1VdfZc2aNeYOI9tynCBJSe7CZcHhBcSnxJOqpDJ993QURQGyHoPkZqcW2lBQpFCDEEIY2alTpwBo1arVEwcS29jY6KvE/vzzz49tv3v3LtHR0QBUqlQpV7FYWlrSpEkTQJ30XQghTCUhIYEFCxbQtm1bxo4di7+/v8FS0OQ4QZKS3IWHoij8dv43/ePTt0/zT/g/QNYtSFZaK30r0u0Ht/MnUCGEKCZ0LTWtW7d+6r59+vQB1ATp0S5wuu51Hh4elChRItfx6LrZSYIkhDClf/75h4YNG2JhYcGpU6c4fvy4fimI4yBzXKRBV1avV69ebNu2jQkTJgDGKavXqlUrLl26RHh4eJ6OI1RhSWFExkdio7Xh2YrPsuPyDvZc20MDzwZZtiABlLYvTXRCNLfjblOLWvkdthBCFFnnzp0D0FdcehJfX18cHBy4fv06R44coUWLFvptee1epyMJkhAiP+zatcskxzVV7pDjFiRTltXr168fr732Wp6OIdL99+A/ABqVaUT7Su0BOBh6EEhvQXKyeTypLV1CnZFdWpCEEMJ4oqKiuHHjBoBBspMVOzs7fSGHn376yWBbXgs06Pj4+ABw8uRJEhIS8nQsIYTIjuvXr3P9+nWjHMtUuUOOE6S+ffsSEhLC33//rZ/oDtSyegsXLsxTMOPGjePDDz/M0zFEuivx6h/QpmWa0qqCWjlEnyAlZd7FDtQWJIDbcZIgCSGEsRw+fBiAatWqUapUqWw9p3///gCsW7fOoJudsVqQKlasSOnSpUlOTubkyZN5OpYQQmQlLS2NWbNm4ezsTMWKFalYsSIuLi58+OGHeaqiaarcIccJEkhJ7sIiLEkt7V3drTpNyqgDcUNjQ7kTdyd9DFImXexK2at/uO/E3cmnSIUQoujTVaPLTvc6nc6dO+Ps7MyNGzfYv3+/fr2xWpA0Go10sxNCmNz777/Pl19+ybx58/Rjj+bMmcMXX3zB1KlTzR3eY7I1Bql3796sWrUKJycnevfu/cR9N2zYYJTARN6FJaoJUuWSlXG0caRyycpcvnuZw9cPk6qoJbyf2IIkXeyEEMJodC1I2elep2NjY0OvXr1YtWoVa9eupU2bNty/f5/jx48DeW9BAvUHzs2bN0uCJIQwme+++44VK1boq3MC1K9fn3LlyvHmm28ye/ZsM0b3uGy1IDk7O6PRaPT3n7SIgkFRFMKT1AFrVVyrANDQsyEA+0PSf4V0sHZ47Ln6MUjSxU4IIYwiLS2Nv//+G0gf95NdAwYMANRxSHFxcUydOpWIiAi8vb1zlGxlRVqQhBCmFhUVlWlPs5o1axIVFWWGiJ4sWy1IK1euzPS+KLgi4yOJT4sHoJJLJQAaeDRgw9kN7LiyA1C711loHs+RZQySEEIY16VLl7h37x7W1tbUqpWz6qDPPfccXl5ehISEMHDgQP744w8Ali1bhq2tbZ5ja9asGQD//fcfd+/epWTJknk+phBCZNSgQQO+/PLLx+ZM/fLLL2nQoIGZospajst8G8Pdu3dRFAVXV1du377Nvn37qFGjBnXq1DFHOEXStRh1TqoyDmWwtVT/gOpakP6+qf6KWbt07UyfK1XshBDCuHRd4ipWrIilZc7+9FpaWrJkyRJeeOEFfvtNndtuwIAB+Pn5GSU2Nzc3qlSpwqVLlzh69Ci+vr5GOa4QQuh8/PHHdOvWjR07dujHYR46dIjQ0FC2bNny1Ofnd+6Q4yINkZGRjB49mtq1a1OqVClcXV0NlqdZsWIFTZo0oWnTpixbtoxevXoRFBRE//79WbFiRa7eRG7MmDEDjUZjsGRs+ktISGD06NG4ubnh4OBAnz59HquxHhISQrdu3bC3t8fd3Z2JEyeSkpJisM/u3btp3LgxNjY2VK1alVWrVuXH2+PW/VuAmiDp6BIkncZlGmf6XF0LkhRpEEII49AlSLktqvD888/z0ksvAeDi4pLnqrGP0nX7k252QghTaNu2Lf/99x+9evUiOjqa6Ohoevfuzfnz53n22Wef+Fxz5A45bkEaPHgwFy9eZMSIEXh4eOjHJmXX559/zunTp4mPj8fLy4srV65QunRpYmJiaNu2La+++mpOQ8q1OnXqsGPHDv3jjL/qTZgwgc2bN/PTTz/h7OzMmDFj6N27NwcOHAAgNTWVbt264enpycGDB7l16xZDhgzBysqKOXPmAGqVoW7dujFq1ChWr15NUFAQr776KmXKlDHaL39ZCbuvFmjwdPDUr6vgVIGStiW5m3AXyDpB0lWxux13G0VRcvxvLIQQwpAxiiosWbIEZ2dn+vbti4eHh7FCA9RxSGvWrJEESQhhMmXLls1VMQZz5A45TpD27dvH/v37c91f0NLSEjs7O+zs7KhatSqlS6utFRkLQeQXS0tLPD09H1sfExPDN998w5o1a3juuecAdexVrVq1+Ouvv2jRogXbt2/nzJkz7NixAw8PDxo2bMiHH37IpEmTmDFjBtbW1gQEBODt7c1nn30GQK1atdi/fz8LFy40eYKUWQuSRqPhGa9n+OM/tf96li1ID7vYJaUmcS/pXqaTyQohhMgeRVGMkiCVKlWKr7/+2lhhGdAVavjrr79IS0szmMZDCCFy459//qFu3bpYWFjwzz//PHHf+vXrZ7nNHLlDjr8Ba9asSXx8fK5fUKvV6mfr3rNnj379/fv3c33M3Lpw4QJly5alcuXKDBo0iJCQEACCg4NJTk6mY8eO+n1r1qyJl5eXfh6LQ4cOUa9ePYNf8fz8/IiNjeX06dP6fTIeQ7eP7hhZSUxMJDY21mDJqcxakAAG1x+sv1+ndOb9Nu2t7LG3sgdkHJIQQuTVrVu3iIiIwMLCgooVK5o7nEw1btyYEiVKcPv27adeyAghRHY0bNiQO3fu6O83atSIhg0bPrY0atToiccxR+6Q4wRp6dKlvP/+++zZs4fIyMgcX8jv2LEDGxsbAIOy4HFxcSb7ZSwzPj4+rFq1iq1bt7Js2TKuXLnCs88+y7179wgLC8Pa2hoXFxeD53h4eBAWpiYeYWFhj3Vx0D1+2j6xsbFPTDLnzp1rUDq9QoUKOX5/uhaksg5lDdb3qd2HqW2m8m33b7GxtMny+VLJTgghjEPXelSjRg3937+CxsbGhvbt2wOwbds2M0cjhCgKdF3hdPcvX77MlStXHlsuX778xOOYI3fIcYLk4uJCbGwszz33HO7u7pQsWZKSJUvi4uKSrdKgjzaH6ZIJd3d3fanR/NClSxdefPFF6tevj5+fH1u2bCE6Opr169fnWwxZmTJlCjExMfolNDQ0x8fIqgXJQmPBrPazGNZo2BOfL5XshBDCOHQJUsOGDc0byFN07twZgK1bt5o5EiGKh4JUMGzJkiVUqlQJW1tbfHx8jDIesWLFivpr/mvXrlGuXDkqVqxosJQrV45r16498TjmyB1yPAZp0KBBWFlZsWbNmlwVaXiUr69vgWjOd3FxoXr16ly8eJFOnTqRlJREdHS0QStSeHi4fsySp6fnYx8e3Yc24z6PfpDDw8NxcnLCzs4uy1hsbGzy/CtjxIMIADxK5G4gr+55ukRLCCFE7pw8eRJ4ch/7gkA3NvbAgQPcv38fB4fHJxIXQhhXQSgYtm7dOvz9/QkICMDHx4dFixbh5+fH+fPncXd3N8r7bN++Pbdu3XrseDExMbRv357U1NRsHys/cocctyCdOnWKlStX0q9fP9q1a0fbtm0NlpxSFCXHzzGF+/fvc+nSJcqUKUOTJk2wsrIiKChIv/38+fOEhIToa7e3bNmSf//9l4iICP0+gYGBODk5Ubt2bf0+GY+h20d3DFOKjI8E0ivS5VR5p/IAXI+9brSYhBCiOPr3338BqFevnpkjebKqVatSuXJlkpOT2bVrl7nDEaJY0BUM0y2lSqnXbbqCYQsWLOC5556jSZMmrFy5koMHD/LXX38B6AuG/fDDDzRs2JAuXbrw4YcfsmTJEpKSkgAMCobVqlWLMWPG0LdvX4OpAhYsWMDIkSMZNmwYtWvXJiAgAHt7e7799lujvc+sqiJHRkZSokSJHB/L1HLcgtS0aVNCQ0OpUaOGUQIwVwnpd955hxdeeIGKFSty8+ZNpk+fjlarZcCAATg7OzNixAj8/f1xdXXFycmJsWPH0rJlS1q0aAGo2Wvt2rUZPHgwH3/8MWFhYXzwwQeMHj1a3/ozatQovvzyS959912GDx/Ozp07Wb9+PZs3bzbpe4tPjudB8gMA3OzccnUMXYJ0494No8UlhBDmlpycTHJycr69Xnx8PBcuXADUYj+nTp3K19fPKV9fXwICAtiyZYu+y11BpDuHBflcFhZyLo1Hdw4fHZP/pJ5BuoJhtra2tGzZkrlz5+Ll5fXUgmEtWrTIsmDYG2+8wenTp2nUqFGWBcPGjx8PQFJSEsHBwUyZMkW/3cLCgo4dOz61qFh29O7dG1Cv91955RWD85Camso///xDq1atcnTM/MgdcpwgjR07lnHjxjFx4kTq1auHlZWVwfaC3oVA5/r16wwYMIDIyEhKly7NM888w19//aUfTLZw4UIsLCzo06cPiYmJ+Pn5sXTpUv3ztVotmzZt4o033qBly5aUKFGCoUOHMmvWLP0+3t7ebN68mQkTJrB48WLKly/PihUrTF7iW9d6pEWb6xLd5RzLAdKCJIQoWrZv3469vX2+vd7FixdJS0vD0dGRf//9F41GQ2BgYL69fk7pJnz/9ddfC3SCpFOQz2VhI+cy7+Li4gAeK641ffp0ZsyY8dj+uoJhNWrU4NatW8ycOZNnn32WU6dO5VvBsLt375KamprpPufOncvZCciErqiCoig4OjoaDDGxtramRYsWjBw5Ms+vY2w5TpD69esHwPDhw/XrNBqNvuksJ30IzWnt2rVP3G5ra8uSJUtYsmRJlvtUrFiRLVu2PPE47dq10w/QzS+RcWqC5GTplOssW7rYCSGKIl9fX5yc8m9ut++//x6AJk2a4OvrS2BgIJ06dXrsx8WC4tlnn+WTTz4hLCyM6tWrU7VqVXOHlKnk5OQCfy4LCzmXxhMZqV5/hYaGGnzPZNV61KVLF/39+vXr4+PjQ8WKFVm/fv0Tx6oXJitXrgSgUqVKvPPOOznuTmcuOU6Qrly5YtQAtFqtUY8n4E6cWnPe0dIx18co56S2IEkXOyFEUWJlZZWvF4FnzpwB1Isf3evmdww54erqSuvWrdm9ezc7d+6kVq1a5g7piQryuSxs5Fzmne78OTk55eqHGHMUDNNqtWi12kz30R3DGKZPn260Y+VH7pDjIg2Plud7dMmp/G5dKQ70CZI29wmSrgUpOiGaB0kPjBKXEEIUN7pKS4Wl+zmkV7OTct9C5C9zFAyztramSZMmBvukpaURFBRk9KJiP//8My+99BItWrSgcePGBktO5EfukO0E6c033zSYsfbHH3/kwYP0C+fo6Gi6du2a60ASEhI4cuQImzZt4vfffzdYRM7oEiQny9x3I3GyccLRWk2wpBVJCCFyp7BUsMtIN/Zo165d+kpYQgjje+edd9izZw9Xr17l4MGD9OrVK9OCYbt27SI4OJhhw4ZlWTDs5MmTbNu2LdOCYZcvX+bdd9/l3LlzLF26lPXr1zNhwgR9HP7+/ixfvpzvvvuOs2fP8sYbb/DgwQOGDXvynJk58fnnnzNs2DA8PDw4fvw4zZs3x83NjcuXLxt0NcwJU+YO2e5i99VXXzFjxgz9vAivv/46Pj4+VK5cGYDExMRcz769detWhgwZwp07dx7bVpjGNRUUuiINeeliB2o3u3N3znE99jrV3aobIzQhhCg2IiIiCA8PR6PRUKdOHXOHk20NGjTAw8OD8PBwdu3aZfLCQkIUVwWlYFi/fv24ffs206ZNIywsjIYNG7J169bHCjfkxdKlS/n6668ZMGAAq1at4t1336Vy5cpMmzaNqKioHB/P1LlDthOkR2uOG7MG+dixY3nxxReZNm2aUf8xiquMRRryorxTec7dOceNWGlBEkKInNK1HlWuXJkSJUoUmjLKGo2GPn36sHTpUn744QdJkIQwkYJUMGzMmDGMGTPmifvkRUhIiL6ct52dHffu3QNg8ODBtGjRgi+//DJHxzN17pDjMUimEB4ejr+/vyRHRhKVoGbiDtq8zYIupb6FECL3dAlSYRp/pDN48GAANmzYYNC9XgghcsPT01PfUuTl5aWf7PbKlSu5anQxde5QIBKkvn37snv3bnOHUWRExasfwLwUaQAp9S2EEHlRGAs06Pj4+FCtWjXi4uLYsGGDucMRQhRyzz33nH5s0LBhw5gwYQKdOnWiX79+9OrVK8fHM3XukKMy39OmTdNPsJeUlMTs2bP1E0DpJsfKjS+//JIXX3yRffv2ZTr57FtvvZXrYxdHugTJwTJvLUi6BCkkNiTPMQkhRHFTGAs06Gg0GgYPHsy0adP4/vvvGTJkiLlDEkIUYl9//TVpaWkAjB49Gjc3Nw4ePEj37t15/fXXc3w8U+cO2U6Q2rRpw/nz5/WPW7VqxeXLlx/bJzd+/PFHtm/fjq2tLbt37zaY3FSj0UiClEP6BCmPXeyqlKwCwKWoS3mOSQghipPU1FROnToFFM4WJICXX36ZadOmsXPnTq5fv0758uXNHZIQopCysLDAwiK941r//v3p379/ro9n6twh2wmSKZux3n//fWbOnMnkyZMNTp7IHWN1savmVg2AS3cvkZqWitZCJvUVQojsuHTpEgkJCdjZ2emrvRY23t7ePPvss+zbt4/Vq1czadIkc4ckhCikKleuTNu2bQkICNCXIAe4c+cOzZs3f6zR5WlMnTsUiGwkKSmJfv36SXJkBGlKmtG62FVwqoC11pqk1CQZhySEEDmg615Xt27dfJn13VR0Xeu+//57o1avFUIUL1evXuXAgQM8++yzhIWF6denpqZy7dq1HB/P1LlDgchIhg4dyrp168wdRpFwL/EeaYraxzOvXey0Floql1R/+bwYdTHPsQkhRHGhK9BQGMcfZdS3b19sbGw4c+ZMvsxeL4QomjQaDVu3bqV8+fI0adKEo0eP5ul4ps4dclSkwVRSU1P5+OOP2bZtG/Xr139soNWCBQvMFFnho5sk1t7KHmsL6zwfr6prVc7dOceFqAt0qNwhz8cTQojioDCX+M7IxcWFHj16sH79elasWGEwSaUQQmSXoig4ODiwYcMGpkyZQtu2bfn666/p1KlTro5n6tyhQCRI//77L40aNQLQD2rVyTjoSjydrntdSduSRjle1ZJVAWlBEkKInCgqLUgAb7zxBuvXr2flypVMnz5d5iwUQuRYxuv5uXPnUqdOHUaOHMmAAQNydTxT5w4FIkHatWuXuUMoMnQJkqudq1GOpyvUIAmSEEJkz71797h0Sa3+WdhbkADatm2Lj48Phw8f5vPPP2f27NnmDkkIUcg8Oobx5ZdfpkqVKrmaAwlMnzvkagzSvn37ePnll2nZsiU3btwA4H//+x/79+83anAi5/QJkq1xEqSqrmoL0oWoC0Y5nhBCFHUnT54EoHz58pQqVcrM0eSdRqNh8uTJACxZsoTY2FgzRySEKGzS0tJwd3c3WNeyZUtOnjzJzp07zRRV1nKcIP3yyy/4+flhZ2fH8ePHSUxMBCAmJoY5c+bkKoi5c+fy7bffPrb+22+/Zf78+bk6ZnGl72JnZ5wudtVcH5b6jlJLfQshhHiyEydOAOi7fxQF3bt3p1atWsTExBAQEGDucIQQRYSHhwdt27bN8fNMnTvkOEH66KOPCAgIYPny5QYDolq3bs2xY8dyFcRXX31FzZo1H1tfp04d+SLOIV2C5GbnZpTjeTl7YWdpR2JqIpfuyoSxQgjxNLpqbw0bNjRvIEZkYWGhnwdp4cKFJCQkmDkiIURB17hxY+7evQuoPxg1btw4yyWnTJ075HgM0vnz52nTps1j652dnYmOjs5VEGFhYZQpU+ax9aVLl+bWrVu5OmZxFRmnVrEraVcS4vN+PK2Flnoe9Thy4wgnwk5Q3a163g8qhBBFmK4FqSglSAADBw5k6tSphIaG8t133/H666+bOyQhRAHWo0cP/aSwPXv2NOqxTZ075DhB8vT05OLFi1SqVMlg/f79+3M9W3iFChU4cOAA3t7eBusPHDhA2bJlc3XM4ioqIcMYJCMkSAANPRpy5MYRToad5KU6LxnnoEIIUQQlJyfrKyoVpS52AFZWVrzzzjuMGzeOuXPnMmTIEOzs7MwdlhCigJo+fXqm943B1LlDjhOkkSNHMm7cOL799ls0Gg03b97k0KFDvPPOO0ydOjVXQYwcOZLx48eTnJzMc889B0BQUBDvvvsub7/9dq6OWVwZVLG7a5xjNvBsAMCJ8BPGOaAQQhRRZ8+eJSkpCScnp8d+SCwKXn31VT799FOuXbvGvHnzmDlzprlDEkIUIklJSURERJCWlmaw3svLK0fHMXXukOMEafLkyaSlpdGhQwfi4uJo06YNNjY2vPPOO4wdOzZXQUycOJHIyEjefPNNkpKSALC1tWXSpElMmTIlV8csrow9DxJAQ8+GAJwMO2m0YwohRFGUcfxRUZzHz97enoULF9K3b1/mz5/PkCFDqFKlirnDEkIUcP/99x8jRozg4MGDBusVRUGj0ZCamrNCYKbOHXKcIGk0Gt5//30mTpzIxYsXuX//PrVr18bBwSHXQWg0GubPn8/UqVM5e/YsdnZ2VKtWTd9vUWSfbgySq50rD3hglGPWc6+HBg037t3gTtwdStkX/rK1QghhCkWxQMOjevfuTadOnQgMDGT8+PH88ccf5g5JCFHADRs2DEtLSzZt2kSZMmXy/AOSqXOHXE8Ua21tTe3atXP9wiEhIY81pzk4ONCsWbNM979x4wblypXL9esVF5HxaoLkZudmtATJ0caRKq5VuBh1kRNhJ+hYuaNRjiuEEEXNkSNHALL8W1YUaDQavvjiC+rVq8emTZvYtGkTzz//vLnDEkIUYCdOnCA4ODjTynPZlZ+5Q47LfCckJPDJJ5/QtWtXmjZtmusyfc2aNeP111/n6NGjWe4TExPD8uXLqVu3Lr/88ktOQy120pS09DLf9sYp863TpEwTAA5fP2zU4wohRFGRlJSkn+7Cx8fHzNGYVo0aNfD39wdg3LhxxMXFmTkiIURBVrt2be7cuZOnY+Rn7pDjFqQRI0awfft2+vbtS/PmzXPdRHbmzBlmz55Np06dsLW1pUmTJpQtWxZbW1vu3r3LmTNnOH36NI0bN+bjjz+ma9euuXqd4iQ6IZo0RR30Zqx5kHSe8XqGdafXsTdkL+/zvlGPLYQQRcG///5LYmIiJUuWpGrVquYOx+Q++OADVq9ezeXLl3nrrbdYsWKFuUMSQhRQ8+fP591332XOnDnUq1fPYC5VACcnp6ceIz9zhxwnSJs2bWLLli20bt061y8K4ObmxoIFC5g9ezabN29m//79XLt2jfj4eEqVKsWgQYPw8/Ojbt26eXqd4uROnJqZO9k4Ya21Nuqx21RU5746GHqQlLQULC1y3TtTCCGKpMOH1Rb2vPx4WJg4ODjw/fff07FjR7755hvatm3L4MGDzR2WEKIA6thRHZ7RoUMHg/U5KdKQn7lDjq9yy5Urh6OjY55fWMfOzo6+ffvSt29fox2zuNIlSKYoolDXvS4uti5EJ0RzIuwETcs2NfprCCFEYZYxQSou2rdvz/Tp05k+fTqjRo2iadOm1KpVy9xhCSEKmF27dhntWPmRO+Q4Qfrss8+YNGkSAQEBVKxY0RQxiVwyZYJkobGgdYXWbL6wmX3X9kmCJIQQj9AVaCjq448e9f7777Nnzx527tzJSy+9xOHDh7G3tzd3WEKIAqRt27bmDiFHclykoWnTpiQkJFC5cmUcHR1xdXU1WIT5mDJBgvRudruuGu9XACGEKAqio6M5d+4cULxakAC0Wi2rV6/Gw8ODU6dOMWDAAJKTk80dlhCigImOjuazzz7j1Vdf5dVXX2XhwoXExMSYO6xM5bgFacCAAdy4cYM5c+bg4eFRLPpZFxamTpB8q/gyacckdlzeQXxyPHZWdiZ5HSGEKGz++usvALy9vSldurSZo8l/np6erF+/Hl9fX37//XcGDx7M6tWr0Wq15g5NCFEA/P333/j5+WFnZ6f/EUk3nmj79u05qoSdH3KcIB08eJBDhw7RoEEDU8Qj8uD2g9sAlLIzTYLUwKMBXs5ehMSEEHQliOery7wXQggBsHv3bqDwdSMxpjZt2rBhwwZ69uzJunXrsLW15dtvv8XCIsedVYQQRcyECRPo3r07y5cvx9JSTT9SUlJ49dVXGT9+PHv37jVzhIZy/K1Vs2ZN4uPjTRGLyKPwB+EAeDh4mOT4Go2G7tW7A/D7+d9N8hpCCFEY6QYgt2/f3syRmFfXrl1Zu3YtWq2W7777jtGjR6MoirnDEkKY2d9//82kSZP0yRGApaUl7777Ln///bcZI8tcjhOkefPm8fbbb7N7924iIyOJjY01WIT5hN0PA8DTwdNkr9G9RnqClJr29JKMQghR1MXGxhIcHAxIggTQu3dvvv/+ezQaDQEBAfj7+0uSJEQx5+TkREhIyGPrQ0NDjVod21hy3MWuc+fOQN7qmAvTyI8EqW2ltrjauRL+IJxtl7bRtZpM4CuEKN727dtHamoqVapUoUKFCuYOp0AYOHAgCQkJjBgxgkWLFnH37l2WLl0q1e2EKKb69evHiBEj+PTTT2nVqhUABw4cYOLEiQwYMMDM0T0uxwmSMeuYC+PKjwTJWmvNKw1eYcFfCwj4O0ASJCFEsacbfyStR4aGDx9OUlISo0eP5rvvviM4OJiff/6ZGjVqmDs0IUQ++/TTT9FoNAwZMoSUlBQArKyseOONN5g3b56Zo3tcjhOk4jwAtSBLTk3WV7EzZYIE8FqT11jw1wI2X9hMSEwIXs5eJn09IYQoyHbu3AlAu3btzBtIATRq1Chq1qxJ//79OXXqFE2bNmXFihX069fP3KEJIfKRtbU1ixcvZu7cuVy6dAmAKlWqFNhW5RwnSE+rMtGmTZtcByNy73bcbRQULDQWuNm5kZaaZrLXqlGqBs95P8fOKztZcWwFs9rPMtlrCSFEQXbjxg2OHTuGRqN5rOu5ULVr144TJ04wYMAAdu/eTf/+/dm7dy+ffvopdnYyXYQQxYm9vT316tUzdxhPleMEKbNfyDLOhSRjkMxD173OvYQ7WgutSRMkgFFNRrHzyk6WH1vOe8++h62lrUlfTwghCqJff/0VgJYtW+LpadrW+8LM09OTwMBApk+fzpw5c1i6dCmbNm3i008/pW/fvjKnohBFVO/evbO134YNG0wcSc7kuIrd3bt3DZaIiAi2bt1Ks2bN2L59uyliFNkQEqNWBqnglD8DhHvU7EF5p/KE3Q9j4aGF+fKaQghR0GzcuBGAXr16mTmSgs/S0pLZs2ezZcsWKlSoQEhICC+99BJt27bl+PHj5g5PCGECzs7O2VoKmhy3IGX2Jjp16oS1tTX+/v76Uqcif12LvgZARZeK+fJ61lpr5nWYx8sbX2b2vtkMbTiUso5l8+W1hRCiILh7966+QIMkSNnXpUsXzp07x6effsq8efPYt28fTZo04dVXX+X999+nYsX8+TsmhDC9lStXmjuEXDHa9NYeHh6cP3/eWIcTOXQt5mGC5Jx/f1gG1htIi/IteJD8gClBU/LtdYUQoiDYtGkTqamp1KtXjypVqpg7nELF3t6eadOmce7cOfr374+iKCxfvpwqVarQr18/jhw5Yu4QhRDFWI4TpH/++cdgOXnyJFu3bmXUqFE0bNjQBCGK7DBHgqTRaFjceTEA35/8no1nN+bbawshhLnpfhnt06ePmSMpvLy8vPjxxx/Zt28fHTt2JDU1lfXr1+Pj48Ozzz7Lhg0bSEpKMneYQohiJscJUsOGDWnUqBENGzbU3+/atStJSUmsWLHCFDGKbMjvLnY6zcs1x7+FPwBDfx3KuTvn8vX1hRDCHM6ePcuuXbuwsLBg+PDh5g6n0HvmmWcIDAzk5MmTDB06FCsrK/bv30+fPn3w9PRk5MiR7NixQz9/ihBCmFKOE6QrV65w+fJlrly5wpUrV7h27RpxcXEcPHiQmjVrmiJG8RSKonDprlpT3tvFO99ff17HebSp2IZ7SffoubanvqKeEEIUVcuWLQOge/fuVKiQP8VxioP69euzatUqrl69ypQpU/Dw8ODu3busWLGCTp06Ua5cOUaPHs2+fftISzNttVYhRPGV4wSpYsWKBkuFChWwtZUSz+Z0895NohOi0Wq0VHernu+vb6W1Yn3f9ZR3Ks/5yPO0WdlGX1VPCCGKmnv37vHdd98B8Oabb5o5mqKpbNmyzJkzhxs3brBz505ef/113NzciIiIYOnSpXTo0IFXXnmF/v37s3TpUs6cOYOiKOYOWwhRRGSrit3nn3+e7QO+9dZbuQ5G5M6piFMAVHOrho2ljVli8HDwYPfQ3XT8X0cuRF2g5Tct+a7nd3Ss3NEs8QghhKnMnz+f2NhYqlevLpPDmphWq6V9+/a0b9+eL774gp07d7Ju3To2btxIdHQ0GzZs0M+f4u7uTrt27WjXrh0+Pj7UqVMHGxvz/E0UQhRu2UqQFi7M3jw3Go1GEiQzOH37NAB13euaNY4qrlXYN2wfvv/z5eyds3T6XydGNxvN/I7zKWFdwqyxCSGEMVy7do3PPvsMgHnz5mFhYbRisOIprKys8PPzw8/Pjy+++IIvv/ySxMRE9u7dy4EDB4iIiGD9+vWsX78eUOddqlOnjn7cdKNGjWjQoEGBnHNFCFGwZCtBunLliqnjEHlw+MZhABp4NDBzJFDeqTxHRx7l3cB3Wfr3UpYcXcIvZ3/hnZbv8HrT13GwdjB3iEIIkSuKouDv709CQgLt2rWjZ8+e5g6p2LK2tqZmzZp07dqVadOmkZiYyJEjR9i1axd79+7l2LFj3L17l5MnT3Ly5EmD53p6elK9enWDpVq1anh7e2NnZ2emdySEKEhyPFFsRrr+vhqNxijBiJxTFIVdV3YB0K5SO/MG81AJ6xIs6baEHjV78Nofr3Et5hrvBL7D3P1zGVhvIAPrDcSnnI98boQQhcqnn37Khg0b0Gq1LFy4UL7DChAbGxueffZZnn32WUD92xgSEsLx48c5fvw4J06c4Pjx44SGhhIWFkZYWBh79+597DilS5fGy8uLChUq4OXlpb9fpkwZPDw88PT0xNHRUf7thSjicpUgff/993zyySdcuHABgOrVqzNx4kQGDx5s1OCKkiVLlvDJJ58QFhZGgwYN+OKLL2jevHmej3s87Di3425jb2VP83J5P54x+Vbx5b+x//HDPz8wZ98cLt29xBdHvuCLI19QwakCz3k/R/tK7WlVoRVVXKtgoZGuKkKIgumHH35g0qRJACxevFjm/SvgNBqNvphUxpa+mJgYLly4wH///ffYcu/ePW7fvs3t27cJDg7O8ti2trb6ZMnd3R03NzdcXV2zvHV2dsbBwQGtVpsP71wUNqa6PhR5k+MEacGCBUydOpUxY8bQunVrAPbv38+oUaO4c+cOEyZMMHqQhd26devw9/cnICAAHx8fFi1ahJ+fH+fPn8fd3T1Px15xTJ17qkvVLlhrrY0RrlFZa60Z3mg4QxoMYdvFbfx46kd+PfcrobGhfHfyO747qVaCcrB2oL5HfWq41aCaazWquFahnGM5yjuVp4xjmQL53oQQRV9MTAzTp09n8WJ1UuzXX39dKtcVYs7OzjRt2pSmTZsarFcUhbt37xIaGkpISAghISH6+6GhoYSHhxMWFsa9e/dISEjg2rVrXLt2LUev7eDggJOTE87Ozjg5OekXBwcHSpQooV8efWxvb4+dnR22trbY2dllel+Sr8LJlNeHIm9ynCB98cUXLFu2jCFDhujXde/enTp16jBjxgxJkDKxYMECRo4cybBhwwAICAhg8+bNfPvtt0yePDnXx91zdY8+QXqzWcH+g21pYUm36t3oVr0bcclx7A/Zz64ru9h1dRcnw09yP+k+B0MPcjD0YKbPd7F1obR9aUrZl8LVzhVnW2ecbdTFwdqBEtYlcLB2wN7KHjtLO+yt7LG1tMXW0hYLLAhNCOXy3cuUsC2BtdYaa601VhZWWFpYYqW1ktYrIYTenTt3OHHiBJs3b2bVqlVER0cD8P777zNz5kzpXlUEaTQaXF1dcXV1pUGDrMfzxsXF6ZOl8PBwIiIiiIqKIjIykqioKIP7utukpCQA7t+/z/3797l586bR49dqtdjY2GS5WFtb6xcrKyuD+5aWlty6dYtt27ZhY2OjX5fVrVarfeptxsXCwiLT+7rHunVPu6/RaPT3H32c2X2NRqNfCipTXR+KvMtxgnTr1i1atWr12PpWrVpx69YtowRVlCQlJREcHMyUKVP06ywsLOjYsSOHDh3K9DmJiYkkJibqH8fExADQY1UPLO0sSU5LJuJBBGdvnwXghRov0MS1CbGxsfrnJCcnExcXR2xsLFZWVqZ4a3nSonQLWpRuwZTmU0hJS+FC5AVORZzi0t1LXL57mWsx17h17xY3790kOTWZ6IRooqOjucCF3L/oiaw3aTQaLC0s1YTJwgqthRYLjQVaCy1ajVZ/a6GxQIMGC42FwaLRaPTrdfcNbjPcBx7brluXMZ6M6zJ+wWe27tFtmb0/ACVN4U7kHRaHLc5R9a2sjlvY3b59my8jvjR3GAVCSnwKQJGdS0b3vl544QUsLS1RFIW0tDRSU1NJTk4mPj6e+/fvc+fOHYPvUoBq1aoxY8YM/Pz89MlSbui+lyMjIwvk93JhYs5zqWv5qV49e/MOJiYmcu/ePe7du0dsbCz3798nNjZWv+7BgwfExcXpb3X3dZ/JhIQE4uPjSUxMNLhNSUnRv0Zqaqr+ueJxur/DjyZOT1uv/1ucxbZHF93kxbrrNh1doppRbq4PRf7JcYJUtWpV1q9fz3vvvWewft26dVSrVs1ogRUVd+7cITU1FQ8PD4P1Hh4enDt3LtPnzJ07l5kzZz62fve43Znu/wd/4DLMJa+hFmsKCskP/4sn3tzhCGE2kZGRRbIM8r179wAyHZj/NBcuXGDQoEHGDkkIkU8URdH/KJIfvLy8DB5Pnz6dGTNmGKzLzfWhyD85TpBmzpxJv3792Lt3r34M0oEDBwgKCtLPPSDyZsqUKfj7++sfp6WlERUVhZubW7abimNjY6lQoQKhoaE4OTmZKtRCQc5FOjkX6eRcGIqJicHLywtXV1dzh2ISZcuWJTQ01KwVyOQzZzxyLo1HzqXx6L5Hr127houLi369TFhc+GQ7QTp16hR169alT58+HD58mIULF/Lrr78CUKtWLY4cOUKjRo1MFWehVapUKbRaLeHh4Qbrw8PD8fT0zPQ5mTXFZvwfLSd0XQGEnIuM5Fykk3NhqKhOfGphYUH58uXNHQYgnzljknNpPHIujcfFxeWp5zI314ci/2T7L2H9+vXx8fFh+fLlVK9enR9++IHg4GCCg4P54YcfJDnKgrW1NU2aNCEoKEi/Li0tjaCgIFq2bGnGyIQQQgghhDnI9WHBlu0Eac+ePdSpU4e3336bMmXK8Morr7Bv3z5TxlZk+Pv7s3z5cr777jvOnj3LG2+8wYMHD/RVS4QQQgghRPEi14cFV7a72OlmqP7iiy9Yv349q1atom3btlStWpURI0YwdOhQaRLMQr9+/bh9+zbTpk0jLCyMhg0bsnXr1scG5hmTjY0N06dPl36vyLnISM5FOjkXhuR8mJ6cY+ORc2k8ci6NJ6fn0hzXhyJ7NEoearpevHiRlStX8r///Y+wsDA6d+7M77//bsz4hBBCCCGEECLf5ClBAnjw4AGrV69mypQpREdHk5qaaqzYhBBCCCGEECJf5bjMt87evXv59ttv+eWXX7CwsOCll15ixIgRxoxNCCGEEEIIIfJVjlqQbt68yapVq1i1ahUXL16kVatWjBgxgpdeeokSJUqYMk4hhBBCCCGEMLlstyB16dKFHTt2UKpUKYYMGcLw4cOpUaOGKWMTQgghhBBCiHyV7QTJysqKn3/+meeffx6tVmvKmIQQQgghhBDCLLI9D9Lvv/9Ojx49JDkSQgghHtq7dy8vvPACZcuWRaPR8OuvvxpsVxSFadOmUaZMGezs7OjYsSMXLlww2CcqKopBgwbh5OSEi4sLI0aM4P79+/n4LgqGp53LV155BY1GY7B07tzZYB85l6q5c+fSrFkzHB0dcXd3p2fPnpw/f95gn4SEBEaPHo2bmxsODg706dOH8PBwg31CQkLo1q0b9vb2uLu7M3HiRFJSUvLzrZhdds5lu3btHvtsjho1ymAfOZeFS7YTJCGEEEIYevDgAQ0aNGDJkiWZbv/444/5/PPPCQgI4PDhw5QoUQI/Pz8SEhL0+wwaNIjTp08TGBjIpk2b2Lt3L6+99lp+vYUC42nnEqBz587cunVLv/z4448G2+Vcqvbs2cPo0aP566+/CAwMJDk5GV9fXx48eKDfZ8KECfzxxx/89NNP7Nmzh5s3b9K7d2/99tTUVLp160ZSUhIHDx7ku+++Y9WqVUybNs0cb8lssnMuAUaOHGnw2fz444/12+RcFkKKEEIIIfIMUDZu3Kh/nJaWpnh6eiqffPKJfl10dLRiY2Oj/Pjjj4qiKMqZM2cUQDl69Kh+nz///FPRaDTKjRs38i32gubRc6koijJ06FClR48eWT5HzmXWIiIiFEDZs2ePoijq59DKykr56aef9PucPXtWAZRDhw4piqIoW7ZsUSwsLJSwsDD9PsuWLVOcnJyUxMTE/H0DBcij51JRFKVt27bKuHHjsnyOnMvCR1qQhBBCCBO4cuUKYWFhdOzYUb/O2dkZHx8fDh06BMChQ4dwcXGhadOm+n06duyIhYUFhw8fzveYC7rdu3fj7u5OjRo1eOONN4iMjNRvk3OZtZiYGABcXV0BCA4OJjk52eCzWbNmTby8vAw+m/Xq1cPDw0O/j5+fH7GxsZw+fTofoy9YHj2XOqtXr6ZUqVLUrVuXKVOmEBcXp98m57LwyfU8SEIIIYTIWlhYGIDBRZHusW5bWFgY7u7uBtstLS1xdXXV7yNUnTt3pnfv3nh7e3Pp0iXee+89unTpwqFDh9BqtXIus5CWlsb48eNp3bo1devWBdTPnbW1NS4uLgb7PvrZzOyzq9tWHGV2LgEGDhxIxYoVKVu2LP/88w+TJk3i/PnzbNiwAZBzWRhJgiSEEEKIAq9///76+/Xq1aN+/fpUqVKF3bt306FDBzNGVrCNHj2aU6dOsX//fnOHUuhldS4zjnOrV68eZcqUoUOHDly6dIkqVarkd5jCCKSLnRBCCGECnp6eAI9VBgsPD9dv8/T0JCIiwmB7SkoKUVFR+n1E5ipXrkypUqW4ePEiIOcyM2PGjGHTpk3s2rWL8uXL69d7enqSlJREdHS0wf6PfjYz++zqthU3WZ3LzPj4+AAYfDblXBYukiAJIYQQJuDt7Y2npydBQUH6dbGxsRw+fJiWLVsC0LJlS6KjowkODtbvs3PnTtLS0vQXWSJz169fJzIykjJlygByLjNSFIUxY8awceNGdu7cibe3t8H2Jk2aYGVlZfDZPH/+PCEhIQafzX///dcg6QwMDMTJyYnatWvnzxspAJ52LjNz4sQJAIPPppzLQsbcVSKEEEKIwurevXvK8ePHlePHjyuAsmDBAuX48ePKtWvXFEVRlHnz5ikuLi7Kb7/9pvzzzz9Kjx49FG9vbyU+Pl5/jM6dOyuNGjVSDh8+rOzfv1+pVq2aMmDAAHO9JbN50rm8d++e8s477yiHDh1Srly5ouzYsUNp3LixUq1aNSUhIUF/DDmXqjfeeENxdnZWdu/erdy6dUu/xMXF6fcZNWqU4uXlpezcuVP5+++/lZYtWyotW7bUb09JSVHq1q2r+Pr6KidOnFC2bt2qlC5dWpkyZYo53pLZPO1cXrx4UZk1a5by999/K1euXFF+++03pXLlykqbNm30x5BzWfhIgiSEEELk0q5duxTgsWXo0KGKoqilvqdOnap4eHgoNjY2SocOHZTz588bHCMyMlIZMGCA4uDgoDg5OSnDhg1T7t27Z4Z3Y15POpdxcXGKr6+vUrp0acXKykqpWLGiMnLkSIOyyYoi51Ins/MIKCtXrtTvEx8fr7z55ptKyZIlFXt7e6VXr17KrVu3DI5z9epVpUuXLoqdnZ1SqlQp5e2331aSk5Pz+d2Y19POZUhIiNKmTRvF1dVVsbGxUapWrapMnDhRiYmJMTiOnMvCRaMoipJ/7VUivyQmJjJ37lymTJmCjY2NucMxKzkX6eRcpJNzYUjOhxBCCKGSBKmIio2NxdnZmZiYGJycnMwdjlnJuUgn5yKdnAtDcj6EEEIIlRRpEEIIIYQQQoiHJEESQgghhBBCiIdkothCIC0tjZs3b+Lo6IhGo8nWc2JjYw1uizM5F+nkXKSTc2EoJiYGUL9viqLcfI8KIUROKIrCvXv3KFu2LBYW0gZRmMkYpELg+vXrVKhQwdxhCCGKgUuXLlG5cmVzh2F08j0qhMgvoaGhT51MVhRs0oJUCDg6OgLq/3DZHTydnJzM9u3b8fX1xcrKypThFXhyLtLJuUgn58JQVFQU3t7euLm5mTsUk8jN92hBIZ/V3JHzljty3nJP9z2q+74RhZckSIWArjuIk5NTjhIke3t7nJyciv0XnJyLdHIu0sm5MJScnAxQZLuf5eZ7tKCQz2ruyHnLHTlvuVfUv0eLE+kgKYQQQgghhBAPSYIkhBBCCCFEHsmo/qJDutgJ80lJgchICAuD8HB1iYyEqCiIiwMLC9BqwcoKPDygbFkoVw5q1QLp3yuEEEIIM0lNhfPn4fjxjItcVhcV8i8pTOfCBfjxR7hxA+7dg9hYuHtXXe7cUZfc/NxiaQktWkCnTtC1KzRtavzYhVGlpqbq+2YXFMnJyVhaWpKQkEBqaqq5wzE5KysrtFqtucMQQohCJzERTp2CY8fU5fhx+OcfiI9/dE8Ze1RUSIIkjCstDTZuhCVLYNeup++v0UDp0moLkYcHlCoFrq5QooR6rNRU9ZspLAxu3oSQELh1C/bvV5fp0+GZZ+C996BzZ/V4osBQFIWwsDCio6PNHcpjFEXB09OT0NDQYjOg1sXFBU9Pz2LzfoUQIqfi49Xk59gxCA5Wb0+dgsx+4ytRAho0gEaN1MXbO5kOHfI/ZmF8kiAJ40hNhZ9+gg8/hDNn1HUaDXTpAj4+apc4R0c1+SlZEtzc1ITIzU1tEcqJK1cgMBC2b4c//lATpa5d1W+nhQuhbVvjvz+RK7rkyN3dHXt7+wJ1YZ6Wlsb9+/dxcHAo8hP6KYpCXFwcERERAJQpU8bMEQkhhPklJqrJ0N9/py+nT6uXNI9ydYUmTdKToUaNoGpVdSSATmRk/sUuTEsSJJE3aWmwfj3MnAnnzqnrnJ1hzBh47TXw8jL+a3p7q8d+7TW1VWnBAggIUNu827eHyZNhxgywtjb+a4tsS01N1SdHBXFunbS0NJKSkrC1tS3yCRKAnZ0dABEREbi7u0t3OyFEsZKSorYEHT2angz9+2/mLUOlS6vJUJMm0LixeuvlJZ1UihNJkETupKXB1q0wdara/gxqy9CECfDWW2qSlB/KloVPP4UpU2DSJPjmG5g7V21hWr0aqlfPnzjEY3Rjjuzt7c0cidDR/VskJydLgiSEKLIUBS5fhiNH1IToyBH1UuXxMUNqR5ZmzdThzE2bqslQuXKSDBV3kiCJnElJgS++gM8/h6tX1XVOTjBxopoYmWsCRjc3WLFC7dI3cqT601Dz5moS16SJeWISgEyYV5DIv4UQoiiKioLDh9OXI0fUdY9ydlaToIwJkbQMicxIgiSy7+pVGDAA/vpLfeziAiNGqF3aSpUyZ2Tp+vRRxzy99BIcOgSdOqH59VdzRyWEEEIII0hOVscNHT6sXo789ZdaNPdR1tbqOKHmzdWEqHlzqFZNnUFEiKeRBElkz9690Lu3OgLRyQk++QQGD4aH4xoKlPLl1S52PXpAUBDaF16g9LvvqoUchBBCCFFo3L6t/t558KB6e/Ro5l3lqldXZwDx8VGXevVkKLLIPUmQxNPt3692XYuLU0crbtgAFSuaO6onK1ECNm2Cvn3RbN6Mz+zZKG3awHPPmTsyIYxq06ZNjB07ltKlS7N69WqqVatm7pCEECJX0tLUKnIHD6YvFy8+vp+Li5oEtWihLs2bq1XmhDAWSZDEk/33H3TrpiZHvr7w668Fs9UoM7a2sGEDaS+9hPa331AGDVJHaUqJY1GEvP322yxfvpzTp08zdepU1q5da+6QhBAiWxIS1BYh3dSGBw5ATMzj+9WuDa1aQcuW6lKjhnSVE6YlCZLI2v37are62Fho3VqdALawJEc61takrlrF/QYNcAoJgf79ISgo53MvCVFAubm5UbVqVR48eEBwcLC5wxFCiCzdvZueDO3fr9ZTSkoy3KdECbV1qHVrNSny8VGL5AqRnyT/FlmbPl1t6y5TBn7+GQprueYSJTg6aRKKo6M6luq998wdkSgkbty4wcsvv4ybmxt2dnbUq1ePv//+G4Bly5ZRv359nJyccHJyomXLlvz555+PHWPJkiVUqlQJW1tbfHx8OHLkSK72ycqwYcOoUqUKb7zxBosWLcr1exVCCGOLiFAvH956Cxo2VAvOdu8OH3+sdp9LSgJPT3jxRVi8GIKDITpa/R1z1izo3FmSI2Ee8jO6yNzp0+q3FcC336rfYIXY/XLlSP36aywHDFALTLRqBT17mjssUYDdvXuX1q1b0759e/78809Kly7NhQsXKPnwr3X58uWZN28e1apVQ1EUvvvuO3r06MHx48epU6cOAOvWrcPf35+AgAB8fHxYtGgRfn5+nD9/Hnd392zvk5WUlBQWL17Mu+++y5IlS/SxCSGEOdy6Bbt3q8vevenzx2dUsyY88ww8+6x66+0tZbZFwSMtSCJzkyZBaqqaRHTubO5ojELp0wf8/dUHQ4eqs8gJkYX58+dToUIFVq5cSfPmzfH29sbX15cqVaoA8MILL9C1a1eqVatG9erVmT17Ng4ODvylK4MPLFiwgJEjRzJs2DBq165NQEAA9vb2fPvttznaJysBAQFUrlyZ0aNHc+/ePS7LZ1oIkY9u34affoI334RatdS52wcOhK+/Tk+O6teHMWPU/cLC4OxZWL4chgyBypUlORIFk7QgicedOwebN6vfWh9/bO5ojGvePHUGuf37Ydgw2LVLRnrmJ0VRC36Yg719jv4S//777/j5+fHiiy+yZ88eypUrx5tvvsnIkSMf2zc1NZWffvqJBw8e0LJlSwCSkpIIDg5mypQp+v0sLCzo2LEjhw4dyvY+WYmKiuLDDz9k9+7dlC9fHmdnZ06cOKFP4IQQwthiYtTWoaAg9c/nqVOG2zUade6hdu2gbVu1hUiqy4nCSBIk8bgvvlBvn39enVWtKLGygu+/VydI2LsXvvxS7Rwt8kdcHDg4mOe1799XR/9m0+XLl1m2bBn+/v689957HD16lLfeegtra2uGDh0KwL///kvLli1JSEjAwcGBjRs3Urt2bQDu3LlDamoqHh4eBsf18PDg3MOfVrOzT1amT59Or169qFWrFgC1a9fm5MmT9OnTJ9vvUQghniQpSZ17aMcOdTlyRC3FnVG9etC+vbq0bStjhkTRIAmSMHT/Pnz3nXp//HizhmIy3t7qOKQ334TJk9UJZKtWNXdUooBJS0ujadOmzJkzB4BGjRpx6tQpAgIC9AlSjRo1OHHiBDExMfz8888MHTqUPXv26JMkUzlz5gw//PADZ8+e1a+rW7cuJ06cMOnrCiGKFkVR/+xHRkJUlLqEh2sIDKxKQICWvXsfb/SvXh06dFCnFWzbFkqXNk/sQpiSJEjC0I4d8OCBmkS0b2/uaEzn9dfV0jo7d8Lw4WqfAelqZ3r29upfY3O9dg6UKVPmsUSnVq1a/PLLL/rH1tbWVH2YXDdp0oSjR4+yePFivvrqK0qVKoVWqyU8PNzgGOHh4Xg+LHqSnX0yM2HCBKKjoylfvrx+XVpaGhUqVMjRexRCFB2JiWqik3GJinry/agoSE5+9EiWQB39o9KloWNH6NRJTYy8vPLzXQlhHpIgCUObN6u3zz9ftEdOWljAN9+ofQP27VO7FY4bZ+6oij6NJkfd3MypdevWnD9/3mDdf//9R8WKFbN8TlpaGomJiYCaPDVp0oSgoCB6PqyYmJaWRlBQEGPGjMn2Po/atGkTwcHBHD9+HMsM83kdPXqU4cOHc/fuXalmJ0Qhpihw7x7cufN4whMZmfX6Bw9y/5o2NmoJbldXcHVNIzk5jF69PPDz01K3rvx+KIofSZBEOkWBLVvU+926mTeW/FCpktrV7o03YMoUNSmUAe7ioQkTJtCqVSvmzJnDSy+9xJEjR/j666/5+uuvAZgyZQpdunTBy8uLe/fusWbNGnbv3s22bdv0x/D392fo0KE0bdqU5s2bs2jRIh48eMCwYcNytI9OcnIyb7/9NhMnTqRhw4YG25ycnAA4efIk7dq1M/4JEULkmKKohQ10iU3GJWOy82jS83irTvZYWKhJjptb+pLxse7+o/vY2aX/JpqcnMqWLUfp2rUrVlZa450MUWilpKSwe/duLl26xMCBA3F0dOTmzZs4OTnhYK5xxSYmCZJId/Ik3LypdkVq29bc0eSP11+HdevULnZffVX0qvaJXGvWrBkbN25kypQpzJo1C29vbxYtWsSgQYMAiIiIYMiQIdy6dQtnZ2fq16/Ptm3b6NSpk/4Y/fr14/bt20ybNo2wsDAaNmzI1q1bDYoyZGcfnS+++ILo6OhMW5cqVKiAvb09J06ckARJCBPQFeHMmOTcvv144vNoEpSSkrvXs7NTk5dSpQyTmayWUqXAyUlae4RxXbt2jc6dOxMSEkJiYiKdOnXC0dGR+fPnk5iYSEBAgLlDNAlJkEQ63S/fzz0HtrbmjSW/aDQwdqyaIP34o1oGXP66iIeef/55nn/++Uy3ffPNN9k6xpgxY7LsLpeTfUBtbfLXzeX1CI1Gw4O89LERophJTVXH4Ny+nZ7oPHr76LqEhNy9VokSahJTurRh0pPVrZtbjodNCmES48aNo2nTppw8eRI3Nzf9+l69emU67UVRIQmSSLd7t3rbsaNZw8h3XbuqP7tdv67Oj9SmjbkjEkIIkQuKorbaXLsGly5pCAz05sgRCyIj0xMh3RIVpe6fU9bWaqJTqlT6rS6xefSx7tbOzvjvVYj8sG/fPg4ePIi1tbXB+kqVKnHjxg0zRWV6kiAJVXKymhyAOsNbcWJrC336wMqVsGaNJEhCCFFAKYqa3Fy9mvly7VrGstSWQP2nHrNkyfRkR7dkfPxoAuTgULRrGAmRUVpaGqmpqY+tv379Oo6OjmaIKH9IgiRUx46p5ZdLllQruxU3AweqCdJPP8Hnn6s/EQohhMhXuhagK1fUhEd3m3GJj3/6cTw9oWLFNLTaW9Sv74mHh9YgAdIlPm5u6vzhQojM+fr6smjRIn2BIo1Gw/3795k+fTpdu3Y1c3SmIwmSUOm617VtWzzH4LRvDx4eEB4O27erFe2EEEIYXVycmvhcvqze6hbd46dNlabRQLlyaiHSihXVW939ihXVeXpsbXXV2P6WamxC5MGnn35K586dqV27NgkJCQwcOJALFy5QqlQpfvzxR3OHZzKSIBnRvHnzmDJlCuPGjWPRokUAJCQk8Pbbb7N27VoSExPx8/Nj6dKlmVaoMqt9+9Tb4ta9Tkerhf79YfFitZudJEhGo+Smk78wCfm3EPkhLQ1u3VITnkuX1NuMyyPzImeqTBl1vnJvbzX50d3qEiBp5Bcif1SoUIGTJ0+ybt06Tp48yf379xkxYgSDBg3CrggPrpMEyUiOHj3KV199Rf36hv2dJ0yYwObNm/npp59wdnZmzJgx9O7dmwMHDpgp0izcvKneVq9u3jjMaeBANUH67Tf1J8wiWts/v1g97LcSFxdXpL9EC5O4h4MzrKRPkcijpCS1tefSpceXK1eeXu3N2RkqV1YXXSKku1+xYvEppCpEQZacnEzNmjXZtGkTgwYN0k9zURxIgmQE9+/fZ9CgQSxfvpyPPvpIvz4mJoZvvvmGNWvW8NxzzwGwcuVKatWqxV9//UWLFi3MFfLjdOWBi/CAu6dq1kydKPbSJfj9dzVhErmm1WpxcXEhIiICAHt7ezQFaGRzWloaSUlJJCQkYFHEu5UqikJcXBwRERG4uLig1Up3I/F0KSlq0YMLF9Tl4kX47z91uXpVbSnKilarJjre3urXqi4Z0i0lS+bb2xBC5JKVlRUJua1tX8hJgmQEo0ePplu3bnTs2NEgQQoODiY5OZmOGcpm16xZEy8vLw4dOpRlgpSYmEhiYqL+cWxsrOmC19F1+i7OrSYajZoUffih2s1OEqQ88/T0BNAnSQWJoijEx8djZ2dXoBI3U3JxcdH/mwgBcO9e+hggXQvQ5ctqMnT16pMnOS1RQk1+qlSBqlXTE6EqVdRucJZyhSFEoTd69Gjmz5/PihUrsCxG/1MXn3dqImvXruXYsWMcPXr0sW1hYWFYW1vj4uJisN7Dw4OwsLAsjzl37lxmzpxp7FCfTJcglSiRv69b0AwYoCZI27apMwOWKmXuiAo1jUZDmTJlcHd3Jzk52dzhGEhOTmbv3r20adOmWHQ5s7KykpajYkZRICYGQkLU5do1dclYHe7OnScfw9ZWTXiqVVOToOrVoUYN9bGnp5S7FqKoO3r0KEFBQWzfvp169epR4pHrxA0bNpgpMtOSBCkPQkNDGTduHIGBgdgascP0lClT8Pf31z+OjY2lQoUKRjv+YxRFWpB0atWCRo3g+HG17PfEieaOqEjQarUF7uJcq9WSkpKCra1tsUiQRNGSlqYmNzdvwo0b6bfXr0NoqLpcv662ED2Nq2v6+J+MLUJVq0LZssWzsKkQQuXi4kKfPn3MHUa+kwQpD4KDg4mIiKBx48b6dampqezdu5cvv/ySbdu2kZSURHR0tEErUnh4+BO7udjY2GBjY2PK0A0lJqZ3Ji/uCRLA2LEwfDjMmwevvaaOJhZCCCNRFIiOVhOYmzfViU+joiA2Vh0OGh+vzt0NanJiYWHBmTMN+fprLeHhEBamVoJ7Uve3jEqVggoV0stg68YG6SrDyVecECIrK1euNHcIZiEJUh506NCBf//912DdsGHDqFmzJpMmTaJChQpYWVkRFBSkz77Pnz9PSEgILVu2NEfImcs46YS9vfniKCgGD4ZPPoGzZ9XbDOPKhBAiN06dgk2bYNcutYH69u2cPFsLVHxsrUYD7u5qSexy5dSlQoX02woVoHx56TkthBA5JQlSHjg6OlK3bl2DdSVKlMDNzU2/fsSIEfj7++Pq6oqTkxNjx46lZcuWBauCnS5BsrNTSw8Vd5aWMHs29O4NCxfC6NHqFYgQQuRAaiqsWweffqomRY9yc1O7sLm7q/edndVkxtZW/RqysFBbmxISUrlx4z/atKlG2bKWlCmjjv/x8ADpHSpE4TR37lw2bNjAuXPnsLOzo1WrVsyfP58aNWro98nOXJohISG88cYb7Nq1CwcHB4YOHcrcuXMNCirs3r0bf39/Tp8+TYUKFfjggw945ZVXshWnt7f3EwsZXb58OedvvhCQBMnEFi5ciIWFBX369DH4cBcoMv7ocT17go8PHD6stiAtWWLuiIQQhcjx4/DKK/DPP+pjKyvw81MXHx+oXTv7LTvJyWls2fIfXbtWlYRIiCJiz549jB49mmbNmpGSksJ7772Hr68vZ86c0RdCeNpcmqmpqXTr1g1PT08OHjzIrVu3GDJkCFZWVsyZMweAK1eu0K1bN0aNGsXq1asJCgri1VdfpUyZMvj5+T01zvHjxxs8Tk5O5vjx42zdupWJRXictiRIRrZ7926Dx7a2tixZsoQlBfkCWxKkx2k06hik9u3h669hwgR1xLIQQjzF0qUwfrw6jsjFBd5+G0aNkqKYQoh0W7duNXi8atUq3N3dCQ4Opk2bNtmaS3P79u2cOXOGHTt24OHhQcOGDfnwww+ZNGkSM2bMwNramoCAALy9vfnss88AqFWrFvv372fhwoXZSpDGjRuX6folS5bw999/5/EsFFySIIn0SWKlo7qhdu2gc2fYuhWmToUffzR3REKIPEpOTjZZyXlFgdmzLZg1S+2q3KNHGkuXplK6tO61c3dcXbwFrVR+QSfnLXfkvOWe7pw9On9ldopvxcTEAODq6gpkby7NQ4cOUa9ePYMud35+frzxxhucPn2aRo0acejQIYNj6PZ5tGUop7p06cKUKVOKbBEHSZCEtCA9ydy5aoK0di28+65aAlwIUWht374dexMVo9m0qTIrVtQDYMCAs7z00n9kMkVergUGBhrvYMWInLfckfOWc3FxcQCPTc0yffp0ZsyYkeXz0tLSGD9+PK1bt9aPYc/OXJphYWEGyZFuu27bk/aJjY3VT5aeGz///LM+mSuKJEESkiA9ScOG6uSxP/4IH3wAmzebOyIhRB74+vri5ORk9OPu3avh22/VlqOPPkrl3XerAsbplpucnExgYCCdOnWSObtyQM5b7sh5y73IyEhAnScz4/fM01qPRo8ezalTp9i/f79J48uNRo0aGRRpUBSFsLAwbt++XfDG1BuRJEhCEqSnmTkT1q+HLVvg4EFo1crcEQkhcsnKysroF3337sGrr6rTyQ0eDO+9p0WjMX5FUFPEXhzIecsdOW85pztfTk5O2f4hZsyYMWzatIm9e/dSvnx5/XpPT8+nzqXp6enJkSNHDI4XHh6u36a71a3LuI+Tk1O2Wo969OhhkCBZWFhQunRp2rVrR82aNbP1HgsjSZCEjEF6mmrV1HJU33yjtiLt3GnuiIQQBcjUqXD1qjrp6pIlao0XIYR4EkVRGDt2LBs3bmT37t14e3sbbG/SpMlT59Js2bIls2fPJiIiAnd3d0DtGunk5ETt2rX1+2zZssXg2IGBgdmej/NJXQOLMgtzByAKAGlBerpp08DaWp3lURIkIcRDFy6kzwLw9dfg6GjeeIQQhcPo0aP54YcfWLNmDY6OjoSFhREWFkZ8fDwAzs7O+rk0d+3aRXBwMMOGDTOYS9PX15fatWszePBgTp48ybZt2/jggw8YPXq0vlvfqFGjuHz5Mu+++y7nzp1j6dKlrF+/ngkTJmQrTq1WS0RExGPrIyMj0RbhuTMlQRKSIGWHlxe8/rp6//331XJVQohi7/33ISUFunWDTp3MHY0QorBYtmwZMTExtGvXjjJlyuiXdevW6fdZuHAhzz//PH369KFNmzZ4enqyYcMG/XatVsumTZvQarW0bNmSl19+mSFDhjBr1iz9Pt7e3mzevJnAwEAaNGjAZ599xooVK7JV4hvUlq7MJCYmYm1tnct3X/BJFzshCVJ2vfcerFgBf/2lFmt4/nlzRySEMKMLF+Dnn9X7c+eaNxYhROGSVeKRUXbm0qxYseJjXege1a5dO44fP56j+D7//HMANBoNK1aswCHDNWJqaip79+6VMUiiiJMxSNnj6Qljx8LHH6uDDrp2BQtphBWiuFqwQG1M7tYN6tUzdzRCCGE8CxcuBNRELiAgwKA7nbW1NZUqVSIgIMBc4ZmcJEhCWpBy4t13YdkyOHECfvkFXnzR3BEJIcwgOhq++069P3GiWUMRQgiju3LlCgDt27dnw4YNlCxZ0swR5S/5+VtIgpQTbm7g76/enz4dUlPNG48QwizWrIH4eKhbF9q0MXc0QghhGrt27Sp2yRFIC5KA9ARJuthlz4QJ8PnncPYsrF0LgwaZOyIhRD5btUq9HTFCynoLIYq269ev8/vvvxMSEkJSUpLBtgULFpgpKtOSBEmkj0GSFqTscXaGd95Ry1fNnAn9+oGl/K8kRHFx6RIcPaoOQRw40NzRCCGE6QQFBdG9e3cqV67MuXPnqFu3LlevXkVRFBo3bmzu8ExGutgJ6WKXG2+9BaVKqWWs/vc/c0cjhMhHP/2k3nboAA/nZhRCiCJpypQpvPPOO/z777/Y2tryyy+/EBoaStu2bXmxCI/DlgRJSIKUGw4OMGmSen/WLHikyVkIUXT99pt6+3ByeyGEKLLOnj3LkCFDALC0tCQ+Ph4HBwdmzZrF/PnzzRyd6UiCJGQMUm69+aZa+vvqVVi50tzRCCHyQXg4HD6s3pep0IQQRV2JEiX0447KlCnDpUuX9Nvu3LljrrBMThKk4i4tDeLi1PvSgpQz9vYwZYp6/6OPICHBvPEIIUxu2zZ17qPGjaFcOXNHI4QQptWiRQv2798PQNeuXXn77beZPXs2w4cPp0WLFmaOznQkQSru4uPVv/YgCVJuvPYalC8P16/DV1+ZOxohhInt2KHe+vmZNw4hhMgPCxYswMfHB4CZM2fSoUMH1q1bR6VKlfjmm2/MHJ3pSOmt4k7XvU6jATs788ZSGNnawtSp8PrrMHs2DB8Ojo7mjkoIYQKKkp4gdexo3liEEMLUUlNTuX79OvXr1wfU7nYBAQFmjip/SIJU3OkSJHt7tWatyLlhw+DTT9WKdp99BjNmmDsiIYQJ/Pcf3Lql/i7SqpW5oxFCCNPSarX4+vpy9uxZXFxccn2ctLQ09uzZw759+7h27RpxcXGULl2aRo0a0bFjRypUqGC8oI1EroiLO90cSFKgIfesrNTWI1ATpPBw88YjhDCJh93w8fFRkyQhhCjq6taty+XLl3P13Pj4eD766CMqVKhA165d+fPPP4mOjkar1XLx4kWmT5+Ot7c3Xbt25a+//jJy5HkjCVJxJwmScfTtC02bqi1yH31k7miEECagS5Ceeca8cQghRH756KOPeOedd9i0aRO3bt0iNjbWYHmS6tWr888//7B8+XJiY2M5dOgQv/zyCz/88ANbtmwhJCSES5cu8eyzz9K/f3+WL1+eT+/q6aSLXXEnCZJxaDQwb546MOGrr2DCBKhc2dxRCSGM6MAB9bZ1a/PGIYQQ+aVr164AdO/eHY1Go1+vKAoajYbU1NQsn7t9+3Zq1ar1xONXrFhRPxltSEiIcYI2AkmQijtdgiQV7PKuQwfw9YXt29XCDatXmzsiIYSRxMSowwwBmjc3byxCmI2iqNOD6JbU1MzvP2lbdvfL7jpjv25O4nvksTY+3tz/Qka3a9euXD+3Vq1a3Lx5k7Jlyz5xv7Vr19K/f3+qVKmS69cyNkmQijtpQTKuefPUBGnNGpg4ERo2NHdEQggjOHZMva1UCdzczBqKyC8JCRAZqWbHuiUuDhIT1W2JiZCcrC4pKelLamr6kvEiOjsX5AXgYt8yLY1uSUloNZrHExPdtCAiU0Vx3Erbtm3z9HxfX1/279+fZZGHtWvXMmTIEPr375+n1zE2SZCKO0mQjKtRI+jfH9auVSeR/fNPc0ckhDCCv/9Wb5s2NW8cwsgePIBTp+Dff9Xl8mV1Xrvr1+HOHXNHZxYajHRxqNWqi4WFumR1P+Oi1apd1nXbH90v4/YnHe9Jr5vx+FnFkpPjZbifGh+v9iApYvbt28dXX33F5cuX+emnnyhXrhz/+9//8Pb25pmnDMosXbo0Xbp0ISgoCHt7e4Nt69evZ/DgwcyZM8eU4eeKJEjFna7MtyRIxvPhh/Dzz7B1q9qa5Otr7oiEEHl0/Lh626SJeeMQeaAocP68Opjs4EF1OX/+ya0iWi04O6cvJUqAjY1axtDGBqytwdLScNFdvGe8iH/SBX9WiUFeEoGnPX702BkeJ6emsnvvXtp16ICVjc3Tk4jMEpAMY1WKk7TIyCKXIP3yyy8MHjyYQYMGcezYMRITEwGIiYlhzpw5bNmy5YnP/+OPP2jXrh09e/Zk8+bNWFlZAfDTTz8xePBgPvroIyZOnGjy95FTkiAVd9KCZHxVq8Lo0bB4Mbz1Fvzzj/pHVAhRaJ06pd7Wq2feOEQOKAolbt7EYvly2LMHdu2C27cf38/TE+rWVf9xq1eHChXUpXx5KFmy+F3sJycTd+GC2p/04cWsKL4++ugjAgICGDJkCGvXrtWvb926NR9lo2qvg4MDf/75J23atGHgwIGsX7+eX375hUGDBjFjxgwmTZpkyvBzTRKk4k4SJNOYMQN+/FH9dfLzz+Gdd8wdkRAil1JS1P+VAWrXNm8s4ilu34agIAgMxDIwkI6hoYbb7ezUKhutWqnlCJs3h9KlzROrEIXA+fPnadOmzWPrnZ2diY6OztYxSpcuzfbt23nmmWfo1KkT+/btY9q0abz33ntGjtZ4JEEq7qSKnWm4uMD8+TBsGMycCQMHwlOquAghCqZLlyApCeztoWJFc0cjDCQlqV3ltm1TuzTrqmmgjqVJtbRE07o1Fh06QPv2akIkLfpCZJunpycXL16kUqVKBuv3799P5WxMZ/LPP//o73/yyScMGTKEnj170r17d4Nt9evXN1rMxiAJUnEnLUimM2SIOifSX3/BpEnwv/+ZOyIhRC6cPq3e1qqlDrMQZqQocPGimhBt26Z2m9P9HdOpXx86dSLluefYev8+fr16YSFdxYTIlZEjRzJu3Di+/fZbNBoNN2/e5NChQ7zzzjtMzcZ4q4YNG6LRaPTzJimKwk8//cTPP/+M8nD839PmUzIHSZCKO0mQTMfCAr74Qv3F8ocf4PXX4SnVXoQQBY+ugp2MPzKT2FjYuTO9lejyZcPt7u5qMRxfX+jUSR1TBCjJyaQ+ZQC5EOLJJk+eTFpaGh06dCAuLo42bdpgY2PDO++8w9ixY5/6/CtXruRDlMYnCVJxJwmSaTVtCq++CsuXw9ix6pWWVmvuqIQQObBzp3rbrp1Zwyg+0tLUsoG6VqKDB9WBYDpWVuqPTX5+6lK/vjTtCWEiGo2G999/n4kTJ3Lx4kXu379P7dq1ccjG0IyQkBAq5qBf8o0bNyhXrlxewjUa+UYp7iRBMr05c9RKSCdOwNdfmzsaIUQOxMamtyC1b2/eWIq08HC1G/LLL6stQE2bwvvvw969anJUtSqMGQN//AFRUWrWOmmSOhm3JEdCmJy1tTWOjo6UKVMmW8kRQLNmzXj99dc5evRolvvExMSwfPly6tatyy+//GKscPNMWpCKO5kHyfRKlVLnRhozRp08tnt3KCC/kAghnuzkSUhNVYszeHmZO5oiRFdcYetWtZXoxAnD7Q4O0KFDeitRNgaDCyGMLyUlhZkzZ/L5559z/+E1o4ODA2PHjmX69On6eY0yc+bMGWbPnk2nTp2wtbWlSZMmlC1bFltbW+7evcuZM2c4ffo0jRs35uOPP6Zr16759baeShKk4k6q2OWP11+H77+HI0fU+3/8Ufzm1hCiELpxQ719pICTyI3Ll9MTop0703+g02ncOD0hatlSqs0JUQCMHTuWDRs28PHHH9OyZUsADh06xIwZM4iMjGTZsmVZPtfNzY0FCxYwe/ZsNm/ezP79+7l27Rrx8fGUKlWKQYMG4efnR926dfPr7WSbJEjFnXSxyx+WlrByJTRqBJs3q8nS0KHmjkoI8RQ3b6q3UqU/F+7fh92705OiixcNt+uKK/j5qcUVPDzMEqYQImtr1qxh7dq1dOnSRb+ufv36VKhQgQEDBjwxQdKxs7Ojb9++9O3b15ShGpUkSMWdJEj5p3ZtmDULJk+GceOgY0fpaidEAadrQZIEKRsURe2TqCuusH8/JCenb7e0VCdn1bUSyfghIQo8Gxubx+ZAAvD29sa6CLfyyjdTHs2dO5dmzZrh6OiIu7s7PXv25LxuyvWHEhISGD16NG5ubjg4ONCnTx/Cw8PNFPEjJEHKX2+/Dc2aQUyM2tXu4RwAQoiCSdeCJL9lZOH2bVizRm0RL1NGbSWfPFmdnyg5Gby94Y034NdfITJSbVGaMkXtTifJkRAF3pgxY/jwww9JTEzUr0tMTGT27NmMGTPGjJGZlrQg5dGePXsYPXo0zZo1IyUlhffeew9fX1/OnDlDiYdJx4QJE9i8eTM//fQTzs7OjBkzht69e3PgwAHzBp+WBvHx6n1JkPKHpSWsWiVd7YQoJKQF6RHJyXD4sNpCtHUrBAcb/tBjb6+W++vcWW0lqlpVxlsKUYgdP36coKAgypcvT4MGDQA4efIkSUlJdOjQgd69e+v33bBhg7nCNDpJkPJo69atBo9XrVqFu7s7wcHBtGnThpiYGL755hvWrFnDc889B8DKlSupVasWf/31Fy1atDBH2Kq4uPT7kiDln9q1YeZM9VdU6WonRIEmLUjA1avp3eaCgtTa5xnVr68mQ507q13obGzMEqYQwvhcXFzo06ePwboKFSqYKZr8IwmSkcXExADg6uoKQHBwMMnJyXTs2FG/T82aNfHy8uLQoUOZJkiJiYkGTZmxj/4xMhZd9zqNBuzsTPMaInPvvAMbNsDRo/Daa7Bpk/zKKkQBoyjFtEjDgwewZ096UvRIt3Hc3NSiCp07q0UWypQxT5xCCJNbuXKluUMwC0mQjCgtLY3x48fTunVrfcnCsLAwrK2tcXFxMdjXw8ODsLCwTI8zd+5cZs6caepwDedAkovz/KWrate4MWzZona7GzbM3FEJITKIi0vvhezubt5YTEpR4PTp9G5z+/ZBhh/p0GqhRYv0VqLGjdV1hZiiKKSkpJCammruUAqc5ORkLC0tSUhIkPOTCa1Wi6WlJRojXDft3buXTz75hODgYG7dusXGjRvp2bOnfruiKEyfPp3ly5cTHR1N69atWbZsGdWqVdPvExUVxdixY/njjz+wsLCgT58+LF682GAy13/++YfRo0dz9OhRSpcuzdixY3n33XfzHH9RJgmSEY0ePZpTp06xf//+PB1nypQp+Pv76x/HxsaapjlTlyA5Ohr/2OLp6tRJr2o3frza1a4YNFsLUVjcvaveWloWwV7IUVGwY4eaEG3fnj7YSsfLK73aXIcO8MiPfIVZUlISt27dIi5jN3OhpygKnp6ehIaGGiUJKIrs7e0pU6ZMnqu4PXjwgAYNGjB8+HCDsTw6H3/8MZ9//jnfffcd3t7eTJ06FT8/P86cOYOtrS0AgwYN4tatWwQGBpKcnMywYcN47bXXWLNmDaBeQ/r6+tKxY0cCAgL4999/GT58OC4uLrz22mtPjTEyMpJp06axa9cuIiIiSEtLM9geFRWVp3NQUEmCZCRjxoxh06ZN7N27l/Lly+vXe3p6kpSURHR0tEErUnh4OJ6enpkey8bGBpv86MOtS5Bkkljzeftt2LhRHfT86qvqxYr8QRKiQNAlSCVLFoH/LVNS1C69ujmJjh5VC/Xo2NpC27bpxRVq1iwCb/pxaWlpXLlyBa1WS9myZbG2tpYk4BFpaWncv38fBwcHLKTSoAFFUUhKSuL27dtcuXKFatWq5ekcdenSxWB+oUdfa9GiRXzwwQf06NEDgO+//x4PDw9+/fVX+vfvz9mzZ9m6dStHjx6ladOmAHzxxRd07dqVTz/9lLJly7J69WqSkpL49ttvsba2pk6dOpw4cYIFCxZkK0EaPHgwFy9eZMSIEXh4eBSb/18kQcojRVEYO3YsGzduZPfu3Xh7extsb9KkCVZWVgQFBekHuZ0/f56QkBD9jMRmc++eeisJkvlYWsJ336nzgWzfDitWwMiR5o5KiCIrOTmZ5Ixz8zxBRIQGsKRkSYXk5BTTBvYEunizG7fe9etoAgOx2L4dTVAQmuhog81K7dqk+fqidOqE8swzhmNRU8z3fo0ls/OWmJhIamoq5cqVw97e3lyhFWi6JMDGxqbYXAznhI2NDVqtlpCQEOLi4gx+0NZ91h4dO56bH76vXLlCWFiYwRh2Z2dnfHx8OHToEP379+fQoUO4uLjokyOAjh07YmFhweHDh+nVqxeHDh2iTZs2Bq1dfn5+zJ8/n7t371KyZMknxrFv3z7279+vr2BXXEiClEejR49mzZo1/Pbbbzg6OurHFTk7O2NnZ4ezszMjRozA398fV1dXnJycGDt2LC1btjRvBTuQFqSCokYNmD1bbU3y91cHPVesaO6ohCiStm/fnu0L47/+8gR80GjusmXLPtMGlg2BgYFP3G6RmIjbmTO4Hz+O+4kTOIWEGGxPKlGC2w0aENGoERGNGpFQqpS6ITlZnbeoiMp43iwtLfH09CQuLo6UIpAEmtI93Y+o4jFJSUnEx8ezZ88eg8+Rrtvmo8Mipk+fzowZM3L0GrrrSQ8PD4P1Gcewh4WF4f7IAElLS0tcXV0N9nn0x3vdMcPCwp6aINWsWZN43WDMYkQSpDxatmwZAO3atTNYv3LlSl555RUAFi5cqB84l5iYiJ+fH0uXLs3nSDOh+/KTMUjmN26cWtXuwAEYPhwCA2USRSFMwNfXFycnp2zte/u2+uu5t7cLXbt2NWVYT5ScnExgYCCdOnXCysoqfYOiwLlzagtRYCCavXvRJCSkb7awQGnWTG0h8vVF07Qp7paWFOV6Exlldt4SEhIIDQ3FwcFBP4ZDGFIUhXv37uHo6CgtSFlISEjAzs6ONm3aGHyOIiMjAQgNDTX4nsmXYRMmsnTpUiZPnsy0adOoW7eu4XcQZPv7tLCRBCmPlIwT5GXB1taWJUuWsGTJknyIKAekBang0GrVqnYNGsDOnfDBBzBnjrmjEqLIsbKyeuwPfFYeztqAq6sFVlbm/8HCysoKqwcP1LmIdBXnQkMNdypXTl9tTtOhA5qHU04UZxn/zVNTU9FoNFhYWBTq8TUajYbjx4/TsGFDox9bNwhfd57ymynfm7FYWFig0Wge+z7R3Xdycspz4qAbpx4eHk6ZDKX0w8PD9efG09OTiIgIg+elpKQQFRWlf76npyfh4eEG++geZzUWPiMXFxdiY2P1c3nqKIqCRqMpspUOC++3g8g7SZAKlmrV4GGLJHPnQkFoZRSiGMtYpMFsUlLQHDlC9XXr0LZrB6VKQd++sHy5mhzZ2KhzEn36KZw6pa775ht48UWQ5KjQateuHTY2Njg4OOiXUroukUZ+nUWLFhn9uE+yatUqtFotDg4OODo6Uq1aNRYvXpyvMRQG3t7eeHp6EhQUpF8XGxvL4cOH9WPYW7ZsSXR0NMHBwfp9du7cSVpaGj4+Pvp99u7dazAWLzAwkBo1ajy1ex2oVfKsrKxYs2YNQUFB7Ny5k507d7Jr1y527txprLdb4EgLUnEmRRoKnqFDISQEpk2DMWPU2SkzzIkghMg/ZkuQrl+HzZvVOdJ27cLy3j1qZdxeo0b6nERt24IUGyiS5s+fz/jx480ag6IopKWloTXyvFf16tXjxIkTAOzZs4fOnTtTu3ZtOnXqZNTXKeju37/PxYsX9Y+vXLnCiRMncHV1xcvLi/Hjx/PRRx9RrVo1fZnvsmXL6udKqlWrFp07d2bkyJEEBASQnJzMmDFj6N+/P2Ufzm49cOBAZs6cyYgRI5g0aRKnTp1i8eLFLFy4MFsxnjp1iuPHj1OjRg2jv/+CTFqQijOZB6lg+uADeO01dXzBgAFw8KC5IxKiWNIVonJ2zocXi4iARYugZUt1PrRRo+D33+HePZSSJbnZogUpS5fC1atw7hwsXgxdukhylEeKAg8e5N+SjV75ubJ27Vrq16+Pi4sLzZo142CGvxtJSUlMmzaNKlWq4OjoSL169Th27Bhvv/02+/btY9KkSTg4OOjLTVeuXJkFCxbQqlUr7O3tOXPmDBcvXsTPzw9XV1eqVKli0Oq0atUqGjZsyIcffoi7uzseHh45apVq27YtderU4Z9//nls2/Hjx3nmmWdwdXWldOnSDBgwQD/OB2D16tVUq1YNR0dHypUrx4cffgjA7t27cXFxYenSpZQrV46SJUuyaNEizp07h4+PD05OTvTs2ZMHDx7oj/Xyyy9TtmxZnJycaNKkCbvyoXDJ33//TaNGjWjUqBEA/v7+NGrUiGnTpgHw7rvvMnbsWF577TWaNWvG/fv32bp1q8G4p9WrV1OzZk06dOhA165deeaZZ/j666/1252dndm+fTtXrlyhSZMmvP3220ybNi1bJb4BmjZtSuijXXmLAWlBKs6ki13BpNHAkiVw6xb88Qe88IKaJBWzX2+EMDddgmSyMciKoo45/PJL2LQpvbS2RqMmSt26gZ8fKXXqcHTbNrVQRDbHT4nsiYvL3z+B9+8bf9LhLVu28M477/D777/TsGFDfv31V1544QX+++8/3NzcmDx5Mnv37mXr1q1UrVqV//77D1tbWz777DOCg4Pp2bPnYy1VP/74I7///jvVq1cnNTWV+vXr0717d3777Tf+++8/OnfujLu7OwMHDgTg9OnTDB48mBs3bnDgwAE6derECy+8QJUqVZ4Yu6Io7N69m9OnT9O4cePHtltYWDBv3jx8fHyIiorixRdfZPLkySxfvpwHDx7wyiuvEBQURJs2bYiOjubChQv65967d4+rV69y5coV9u7dS+fOndmxYwc///wzTk5OtG7dmq+++gp/f38AOnTowJIlS7C3t2fRokX07duXq1ev4mjCH5HbtWv3xLHsGo2GWbNmMWvWrCz3cXV11U8Km5X69euzb1/uKnGOHTuWcePGMXHiROrVq/fYGM769evn6rgFnbQgFWfSxa7gsrSEH3+E5s3VGe99feHyZXNHJUSxovuKNHqClJICa9ZA/frQsSP8+qu6rnlz+PxztYvdgQPw3nvQpIlaxEUUO1OmTMHFxUW/ZNX9bMmSJUycOJHGjRtjYWFB7969qVmzJlu2bEFRFL766isWLFhAtWrV0Gg01KhRg4pPmUpi+PDh1KhRA61Wy9GjR7l16xYfffQRtra21K9fnzFjxrBq1Sr9/qVKleLtt9/GysqKdu3aUalSJX0Xusz8+++/uLi44ObmxltvvcWiRYto3779Y/s1aNCAZ555BisrKzw8PPD392f37t367VZWVpw9e5bY2Fh961lGM2fOxNramo4dO+Lq6soLL7xAhQoVcHZ2pmvXrhw7dky/77Bhw3B2dsbKyoqJEyeSlpaWaatWcdOvXz/Onj3L8OHDadasGQ0bNqRRo0b626JKWpCKM+liV7CVKKH+qvzss3D+vDrWYNcuqFrV3JEJUSzoWpCM9hWpKLBxo5r4nD+vritRQh17+OabUKeOkV5IZJe9ffqfwvx6veyaO3dutsYgXb16lffee4/p06fr1yUnJ3Pjxg1u375NXFwc1apVy1Gc5cuX19+/fv06ZcuWNZhotHLlyvzwww/6x4/O1VOiRIknzqOUcQzSk1y8eJG3336bo0ePcv/+fdLS0vQtGCVKlOCPP/7gs88+491336VevXp8+OGH+kTL0dERuwyTH9vb2xvEaW9vz/2H//hpaWlMnTqV9evXEx4ejoWFBbGxsdy5c+epMRZ1V65cMXcIZiEJUnEmXewKvtKl1aSoQwc4e1ZNknbulO52QuQDo3axO3VKLbyyZ4/62M0Nxo+H0aPNXCaveNNojN/lLb9VqFCBsWPHMmrUqMe2KYqCvb09Fy9eNCgVrZNVGe+M68uXL8/NmzdJTk7WJydXr141SKJMZdSoUVSvXp3vvvsOFxcXfv31V/0ck6B2i+vQoQPJycksXbqUnj17cldXXSUH1qxZw5o1a9i2bZu+pa1kyZLZmsqlqHtaa2NRJV3sijPpYlc4lCmjJkl168LNm9CuHZw5Y+6ohCjyjNLFLikJZsyARo3U5MjWVi3EcvmyeivJkcij0aNH88knnxAcHIyiKMTFxbFjxw6uX7+ORqNh5MiRvP3221y8eBFFUTh//jzXrl0D1JafS5cuPfH4zZs3x8PDg2nTppGYmMipU6f44osvGDp0qMnfW2xsLI6Ojjg5OREaGsonn3yi3xYeHs7GjRu5d+8elpaWODk5YWmZu9/9Y2Njsba2plSpUiQlJTFr1qwntoAVN//73/9o3bo1ZcuW1X92Fi1axG+//WbmyExHEqTiTFqQCg8PD7XlqH59CAtTkyTpGy2ESeW5BenCBWjVCmbOVMcY9eihVqD78EMTVn4QRYWuulzGJWMFN50XXniBefPmMXLkSEqWLIm3tzeLFy/WT/g6f/58OnToQMeOHXFycuLFF18kKioKgPHjx7Njxw5cXFx4/vnnM43DysqKTZs2ERwcjKenJ927d8ff319foMGUFixYwKZNm3BycqJHjx706dNHvy0tLY3FixfrxxQtWbKEn3/+OVeT2w4dOpQ6depQsWJFKleujJ2dXb60kBUGnB7qSAAAiHdJREFUy5Ytw9/fn65duxIdHa2fGNbFxSXf59DKV4oo8GJiYhRAiYmJyfZzkpKSlF9//VVJSkrKeicPD0UBRTl50ghRFlzZOheFxZ07itKokfrv5uSkKFu35ujpRepc5JGcC0N37tzJ8fdMYZLT79HkZPV/M1CU27dz8YIbNyqKg4N6AFdXRVm3TlHS0nJxIPms5lZm5y0+Pl45c+aMEh8fb8bICrbU1FTl7t27SmpqqrlDKbCy+hwVxe/RWrVqKRs3blQURVEcHByUS5cuKYqiKP/++6/i5uZmxshMS1qQijPpYlf4uLlBUBC0aaP+vN2tGyxbZu6ohChyMg7cz1GRBkVRW4h69VIP0qYNnDwJL72kDngRQohC5MqVK5lWq7OxsTGYR6qokQSpuEpNVSeAAEmQCpuSJWH7drXyVWqqWv3K31+9L4QwCl33OhsbdcmWlBR4/XV4OMkj48apP2hIVx0hRCHl7e2dacXBrVu3UqtWrfwPKJ9IglRc6ZIjkDLfhZGNDaxcCbNnq48XLoTevfO3Xq0QRViOS3wnJ8PLL8Py5WBhAUuXwqJF6pxmQghRyMyaNYu4uDj8/f0ZPXo069atQ1EUjhw5wuzZs5kyZQrvvvuuucM0GfnmLq503essLNSqSqLw0WjU+VSqVoUhQ+D336F1a/jpJ6he3dzRCVGoxcSoty4u2dg5NRUGD4Z168DKCtauVX+wEEKIQmrmzJmMGjWKV199FTs7Oz744APi4uIYOHAgZcuWZfHixfTv39/cYZqMtCAVV9HR6q2zs/SLL+xeegl27wZ3d7WyXePG8L//mTsqIQq1jF+RT6QoajdXXXK0YYMkR0KIQk/JMAfUoEGDuHDhAvfv3ycsLIzr168zYsQIM0ZnepIgFVcREeqtu7t54xDG0aIFHD8O7dvDgwdqi9LQodLlTohcynYL0pw58PXX6g9Na9ZAFqWShRCisNE88gO6vb097sXkulESpOIqPFy9LSYf9GKhbFkIDFQraFlYwPffq61Jx4+bOzIhCh1dgvTEFqSNG9XJXgG++AL69jV5XEIIkV+qV6+Oq6vrE5eiSsYgFVe6FiQPD/PGIYxLq1Uv2Nq2hYED1YkqW7RQu9y99JK5oxOi0HhqF7tz59SWWoC33oLRo/MjLCGEyDczZ87E+an9jIsmSZCKK+liV7Q9+6w698qwYWrxhgEDID5eTZqEEE/1xC528fHw4otqF9Z27eCzz/IxMiFMZ/fu3fTs2ZOrV6+aOxRRAPTv37/YdKl7lHSxK64kQSr6XF3VAeOvvgppafDKK1h8/bW5oxKiUHhiC9LEiXDqlNoC/+OPUspbGF27du1YtGiRSY79yiuvYG1tjYODA87OzjRv3pzAwECTvJYovB4df1TcSIJUXEmCVDxoteoA8rfeUh+OGUPl3383c1BCFHxZtiAFBsKSJer9778HT8/8DEsIo3jzzTe5f/8+kZGR9OvXj169ehGt+1VACAyr2BVHkiAVV5IgFR8ajTph5eTJANT79lss5s41b0xCFHCZFmm4f19tkQV1zJGvb77HJYxMUdTKn/m15PKic/v27TRq1AhnZ2caN27Mjh079NteeeUVRo4cSf/+/XF0dKRGjRrs3r07W8e1tLTk9ddf58GDB1y6dOmx7T/88AN169bF0dERLy8vpk6dqr9wVhSFSZMm4enpiZOTE9WrV2fTpk0AzJgxg+eff57XX38dZ2dnvL292b17N7/++itVq1alZMmSvP/++/rXCQkJoVOnTpQuXZqSJUvSrVs36eZnZmlpacW2ex1IglR8SYJUvGg0MGcOqTNmAKCdPh1GjIBbt8wblxAF1J076m3JkhlWTp0KISFQqRLMm2eOsISxxcWBg0P+LXFxOQ7x4sWL9OjRg6lTpxIZGcl7771H9+7duXLlin6fdevWMWrUKKKjoxk8eDCvvPJKto6dnJzMsmXLcHR0pFq1ao9td3NzY8OGDcTGxvL777/z9ddfs2bNGgACAwNZs2YNx44dIzY2lh07dlA9wyTl27dvx8/Pj6ioKAYPHszLL7/Mb7/9xsmTJzlw4ACfffYZx44dA9SLcX9/f0JDQ7l27Rr29vaMHDkyx+dKCGORBKm4kip2xY9GQ9p773FK94fz22+hShWYMgXu3jVraEIUNKGh6m2FCg9XnDgBn3+u3g8IUC92hcgH69ato127dvTu3RtLS0v69u3LM888w48//qjfp2vXrrRr1w6tVsuwYcO4du0akZGRWR5z2bJluLi4UK5cOf744w/++OMPnJycHtuvS5cuVK9eHY1GQ8OGDRkwYIC+dcrKyoqEhAROnz5NcnIyXl5eBglSkyZN6N27N1qtlv79+3Pjxg0mT55MiRIlqF27NvXr19cnSJUqVaJLly7Y2tri5OTE+++/z759+0hLSzPSWRQiZyRBKo4SEiA2Vr0vLUjFzqWePUnZuRNatVKrcc2bB5Urw/z5ufp1U4iiJjERwsLU+15eqN2ixoxRi528+CL4+Zk1PmFE9vZq18n8Wuztcxzi9evXqVSpksG6ypUrc/36df1jzwxj4UqUKAHAvXv3sjzmG2+8QXR0NBEREezdu5e2bdtmut+2bdto1aoVpUqVwtnZmYCAAO48bF5t3749M2fOZOrUqZQqVYo+ffoYtGp5ZPgB1v7h+3503f2Hk5nfvn2bgQMHUqFCBZycnGjTpg2JiYlPfA9CmJIkSMWR7i+/ldVTZkEURZXyzDOwf79aArxuXbVk1+TJ6YmSbgCGEMXQjRvqra0tuLkBP/wABw6oF7dS0rto0WigRIn8W3JRGax8+fKPjce5evUq5cuXN9JJyFxSUhK9e/fm9ddf58aNG8TExDBq1CiDwftvvvkmf/31FyEhIdjY2PDWw4JAOTVlyhTi4uL03fX27t0LSKEAYT6SIBVHJ0+qt9Wr5+rLWhQRGg288ILadej779VxFeHhaqLk5QWTJskYJVEshYSotxUqgCYmWi3rDeoYJH2fOyHyR79+/di9eze//fYbKSkpbNiwgb1799K/f3+Tvm5iYiIJCQm4ublhY2PD4cOH9eOPAI4ePcrBgwdJSkrCzs6OEiVKYJnLkvexsbHY29vj4uJCZGQkM2fONNbbECJXJEEqjo4eVW+bNTNvHKJg0Gph8GA4fx5WrYLatdUumB9/rCZNr72mzvkiRDFx8aJ6W7Ei8P776g8HNWqAv79Z4xLFU9WqVdmwYQPTp0/H1dWVWbNmsXHjRipXrmzS13V0dGTJkiW89tprODk5MXv2bPr166ffHhsby5tvvombmxuenp7cvHmTxYsX5+q1Zs6cycWLFylZsiStW7emS5cuxnobQuSKzG5XHOkSpObNzRuHKFisrWHoUDVZ2rxZ7Wp34AAsX64uzz4Lb7wBvXuDjY25oxXCZA4fVm97ex6EZcvUB8uWqf+PCJEPHi3T3aVLlyyThlWrVhk8dnFxeWLXtEf3z6hdu3ZERUUR+3Cc8qhRoxg1alSm+3bo0IETJ05kum3Gw4qpOpUqVXospozvsVatWhw5csRg+2uvvZZlnEKYmrQgFTeKAn//rd6XFiSRGQsLtevd/v3q0qeP2sq0bx8MHKh2MZo8GTKZM0OIwk5RYNs2sOcBg3cNU1cMHQrt25s7NCGEEPlEEqTi5t9/ISpK/SW0fn1zRyMKutat4eef1UEZM2dCuXJw+7baulS1qloJb8kSdZ0QRcCuXRAaqrDc8g0cbvwHZcvCwoXmDksIIUQ+kgSpuFmyRL19/nnpLiKyr2xZmDYNrl6FDRvUMscWFnDokFr+uGxZ9TO1dq2UChcFWsjuSxwc+yP7hq7g6IzNRJyK0G9LSIApE1NYzDgGpvxPbTldvfqR2WKFEEIUdTIGqTj591/45hv1/rhx5o1FFE6WltCrl7rcugXr1qklkIOD1XFLmzertZE7dYLu3dWkKcP8HEKYm1ePxhhMhzkT/rOqwzWP5ty658CqmEBqcU7dFhAA7dqZIUohhBDmJAlScZGcDMOHQ2qqenHbpo25IxKFXZkyMH68upw7p/7Svno1XLkCf/yhLgA+Pmqy1LWr2q3TQhquhfkkYck/js1JsHPFNeYyVRPPUD35NNWvn9bvk+zkitU3X0HfvmaMVJiSzK8j8kI+P0WfJEjFxcyZanEGFxf48ktzRyOKmpo14cMPYdYstaXy99/V5ehRtSTY4cNqueSSJaFtW3XAe7t26iS1kjCJfJR65Tr1K3noH8devsPl7/aRcuIUDhZxVPStgd3AXjKJdhFlZWUFQFxcHHZ2dmaORhRWcQ+7kus+T6LokQSpONi5E+bMUe9/9ZU6XkQIU9Bo1Fai+vXhgw/g5k3YtElNlvbsgbt34ddf1QWgVCm10EOTJumLdMkTJmTnanhR7FS5FA1n9gJ6mScgka+0Wi0uLi5ERKhjz+zt7dHIhOkG0tLSSEpKIiEhAQv5AcuAoijExcURERGBi4sLWq3W3CEJE5EEqai7dQsGDVJL1Y4YAS+9ZO6IRHFStqw60exrr6ndPI8dU8uE7dqllhC/cye9tUmnXDk1UWrQAGrVUlunqleHEiXM9z6EEEWG58MfYXRJkjCkKArx8fHY2dlJ8pgFFxcX/edIFE2SIBVhFomJaF96CcLC1K5Mn39u7pBEcWZlpY5H8vFR51FKSlK7fR45ot4GB8P583DjhrpkTJoAvLzUZKlaNahYUV0qVVJv3d3V1ishhHgKjUZDmTJlcHd3Jzk52dzhFDjJycns3buXNm3aSBeyTFhZWUnLUTEgCVI+WbJkCZ988glhYWE0aNCAL774gubNm5vuBRMSaPbxx1gEB6vjPjZsAHt7072eEDllba12r2vVKn3dvXtw4oSaLJ0+rRZ/OHdObWkKCVGX7dsfP5atLZQvr3bPy7iUKaPelioFrq7g5qaOLZFuI0IUe1qtVi50M6HVaklJScHW1lYSpHyQ79eHIlskQcoH69atw9/fn4CAAHx8fFi0aBF+fn6cP38ed3d3479gWBjal17CMzgYxc4Oze+/q7+6C1HQOTrCs8+qS0Z37qitS2fPwuXLcO2aOifTtWvqOKeEBLh4UV2eRqOBkiWxdHXlWQsLtEuWqEmTk5O66O47Oqrd+kqUUH9c0N3XPba1BTs7sLGRhEsIIUSO5fv1ocg2SZDywYIFCxg5ciTDhg0DICAggM2bN/Ptt98yefLk7B8oJUVddBRFLdudlATR0XDpEmzbBgEBWMTEkGxnh+a337B85hnjviEh8lupUurSuvXj25KSIDRUTZRu3VK7lD66REaqy4MH6v83UVFooqJwBfjvv7zHZ22tJku2tmrCZG1teKu7b2WlLhnv6xZLy6wXrTZ9efSxVqsmaI/et7AwXHTrNJr0dRnua2Jj834ehBBCZJvRrg+F0UmCZGJJSUkEBwczZcoU/ToLCws6duzIoUOHMn1OYmIiiYmJ+scxMTEAxLq5Zft1lXr12Dt4MK0aN8aqmF/4JCcnExcXR2xsbLHvLlBkz0Xp0urSoMGT90tMVH9MuHuXlIgITuzaRcMqVbCMi1O79+mW2Fj1Ni5OTari4h6/n3EejKQkdXn4/2phFPfwtqjO76F7X1FRUYVu3Inu/9vIyMii9f+ticl5yx05b7kXFRUFpF+36djY2GBjY2OwLjfXhyL/SIJkYnfu3CE1NRUPDw+D9R4eHpw7dy7T58ydO5eZM2c+tr5CTl7433/h3XfVRQghsikyMhLnIjgH0L179wDw9vY2cyRCiKLOy8vL4PH06dOZMWOGwbrcXB+K/CMJUgE0ZcoU/P399Y/T0tKIiorCzc0t2yU3Y2NjqVChAqGhoTg5OZkq1EJBzkU6ORfp5FwYiomJwcvLC1dXV3OHYhJly5YlNDQUR0fHQle6WD6ruSPnLXfkvOWe7nv02rVruLi46Nc/2nokCj5JkEysVKlSaLVawsPDDdaHh4dnWUM/s6bYjP+j5YSTk5N8wT0k5yKdnIt0ci4MFdWJIS0sLChfvry5w8gT+azmjpy33JHzlnsuLi5PPXe5uT4U+ado/iUsQKytrWnSpAlBQUH6dWlpaQQFBdGyZUszRiaEEEIIIcxBrg8LNmlBygf+/v4MHTqUpk2b0rx5cxYtWsSDBw/0VUuEEEIIIUTxIteHBZckSPmgX79+3L59m2nTphEWFkbDhg3ZunXrYwPzjMnGxobp06dLv1fkXGQk5yKdnAtDcj4KLvm3yR05b7kj5y33cnruzHF9KLJHoxTVmq5CCCGEEEIIkUMyBkkIIYQQQgghHpIESQghhBBCCCEekgRJCCGEEEIIIR6SBEkIIYQQQgghHpIESQghhMhnc+fOpVmzZjg6OuLu7k7Pnj05f/68wT4JCQmMHj0aNzc3HBwc6NOnz2OTSoaEhNCtWzfs7e1xd3dn4sSJpKSk5OdbMat58+ah0WgYP368fp2ct8zduHGDl19+GTc3N+zs7KhXrx5///23fruiKEybNo0yZcpgZ2dHx44duXDhgsExoqKiGDRoEE5OTri4uDBixAju37+f328lX6WmpjJ16lS8vb2xs7OjSpUqfPjhh2SscSbnruiRBEkIIYTIZ3v27GH06NH89ddfBAYGkpycjK+vLw8ePNDvM2HCBP744w9++ukn9uzZw82bN+ndu7d+e2pqKt26dSMpKYmDBw/y3XffsWrVKqZNm2aOt5Tvjh49yldffUX9+vUN1st5e9zdu3dp3bo1VlZW/Pnnn5w5c4bPPvuMkiVL6vf5+OOP+fzzzwkICODw4cOUKFECPz8/EhIS9PsMGjSI06dPExgYyKZNm9i7dy+vvfaaOd5Svpk/fz7Lli3jyy+/5OzZs8yfP5+PP/6YL774Qr+PnLsiSBFCCCGEWUVERCiAsmfPHkVRFCU6OlqxsrJSfvrpJ/0+Z8+eVQDl0KFDiqIoypYtWxQLCwslLCxMv8+yZcsUJycnJTExMX/fQD67d++eUq1aNSUwMFBp27atMm7cOEVR5LxlZdKkScozzzyT5fa0tDTF09NT+eSTT/TroqOjFRsbG+XHH39UFEVRzpw5owDK0aNH9fv8+eefikajUW7cuGG64M2sW7duyvDhww3W9e7dWxk0aJCiKHLuiippQRJCCCHMLCYmBgBXV1cAgoODSU5OpmPHjvp9atasiZeXF4cOHQLg0KFD1KtXz2BSST8/P2JjYzl9+nQ+Rp//Ro8eTbdu3QzOD8h5y8rvv/9O06ZNefHFF3F3d6dRo0YsX75cv/3KlSuEhYUZnDdnZ2d8fHwMzpuLiwtNmzbV79OxY0csLCw4fPhw/r2ZfNaqVSuCgoL477//ADh58iT79++nS5cugJy7osrS3AEIIYQQxVlaWhrjx4+ndevW1K1bF4CwsDCsra1xcXEx2NfDw4OwsDD9Phkv8nXbdduKqrVr13Ls2DGOHj362DY5b5m7fPkyy5Ytw9/fn/fee4+jR4/y1ltvYW1tzdChQ/XvO7PzkvG8ubu7G2y3tLTE1dW1yJ43gMmTJxMbG0vNmjXRarWkpqYye/ZsBg0aBCDnroiSBEkIIYQwo9GjR3Pq1Cn2799v7lAKvNDQUMaNG0dgYCC2trbmDqfQSEtLo2nTpsyZMweARo0acerUKQICAhg6dKiZoyvY1q9fz+rVq1mzZg116tThxIkTjB8/nrJly8q5K8Kki50QQghhJmPGjGHTpk3s2rWL8uXL69d7enqSlJREdHS0wf7h4eF4enrq93m0OpvusW6foiY4OJiIiAgaN26MpaUllpaW7Nmzh88//xxLS0s8PDzkvGWiTJky1K5d22BdrVq1CAkJAdLfd2bnJeN5i4iIMNiekpJCVFRUkT1vABMnTmTy5Mn079+fevXqMXjwYCZMmMDcuXMBOXdFlSRIQgghRD5TFIUxY8awceNGdu7cibe3t8H2Jk2aYGVlRVBQkH7d+fPnCQkJoWXLlsD/27vv+Kaq94Hjn6RN96K7BTrYYJENVlARCmXJEFEUZIqKgCIICjL8iYqiKKIILigoKl8HQ0YVQUChlr1lWlrohO7dtLm/P0ICoYMCbVPa580rL5J7z73n3NM0vU/OguDgYI4dO2Zy47V161acnJyK3QzXFN27d+fYsWMcPnzY+Gjfvj3Dhg0zPpd6K65z587FppE/c+YM/v7+AAQGBuLt7W1SbxkZGURGRprUW1paGgcOHDCm2b59Ozqdjk6dOlXBVZhHTk4OarXp7bKFhQU6nQ6QuquxzD1LhBBCCFHbjB8/XnF2dlZ27NihxMfHGx85OTnGNM8//7zi5+enbN++Xdm/f78SHBysBAcHG/cXFhYqQUFBSs+ePZXDhw8r4eHhioeHhzJjxgxzXJLZXD+LnaJIvZVk7969iqWlpfL2228rZ8+eVVavXq3Y2dkp3377rTHNu+++q7i4uCjr169Xjh49qgwYMEAJDAxUcnNzjWl69eqltGnTRomMjFT+/vtvpXHjxsqTTz5pjkuqMiNHjlTq1q2rbNy4UYmKilJ++eUXxd3dXZk+fboxjdRdzSMBkhBCCFHFgBIfK1asMKbJzc1VXnjhBaVOnTqKnZ2dMmjQICU+Pt7kPBcuXFB69+6t2NraKu7u7srUqVMVrVZbxVdjXjcGSFJvJfv111+VoKAgxdraWmnWrJnyxRdfmOzX6XTK7NmzFS8vL8Xa2lrp3r27cvr0aZM0ycnJypNPPqk4ODgoTk5OyujRo5XMzMyqvIwql5GRobz00kuKn5+fYmNjozRo0EB5/fXXTaaEl7qreVSKct1SwEIIIYQQQghRi8kYpBoqPz+fN954g/z8fHMXxeykLq6RurhG6sKU1IcQQgihJy1INVRGRgbOzs6kp6fj5ORk7uKYldTFNVIX10hdmJL6EEIIIfSkBUkIIYQQQgghrpIASQghhBBCCCGusjR3AcTN6XQ64uLicHR0RKVSleuYjIwMk/9rM6mLa6QurpG6MJWeng5gXNujprmdz1EhhLgViqKQmZmJr69vsbWTxN1FxiDdBS5dukT9+vXNXQwhRC1w/vx5GjRoYO5iVDj5HBVCVJWLFy9Sr149cxdD3AFpQboLODo6AvpfuPIOntZqtfz+++/07NkTjUZTmcWr9qQurpG6uEbqwlRKSgqBgYG4ubmZuyiV4nY+RyuavOcqjtRlxZG6rDiGz1HD5424e0mAdBcwdAdxcnK6pQDJzs4OJyenWv+BJ3VxjdTFNVIXprRaLUCN7X52O5+jFU3ecxVH6rLiSF1WnNv5HF2yZAnvv/8+CQkJtGrVik8++YSOHTuWmv7HH39k9uzZXLhwgcaNG/Pee+/Rp08f435FUZg7dy5ffvklaWlpdO7cmaVLl9K4cWMALly4wLx589i+fTsJCQn4+voyfPhwXn/9daysrG7zymse6SAphBBCCCFEFVuzZg1Tpkxh7ty5HDx4kFatWhEaGkpSUlKJ6ffs2cOTTz7J2LFjOXToEAMHDmTgwIEcP37cmGbBggUsXryYZcuWERkZib29PaGhoeTl5QFw6tQpdDodn3/+OSdOnOCjjz5i2bJlzJw5s0qu+W4hAZIQQgghhBBV7MMPP2TcuHGMHj2aFi1asGzZMuzs7Fi+fHmJ6T/++GN69erFtGnTaN68OfPmzaNt27Z8+umngL71aNGiRcyaNYsBAwZw7733smrVKuLi4li3bh0AvXr1YsWKFfTs2ZMGDRrQv39/XnnlFX755Zequuy7gnSxEwAcX5fNiV+z6f+hG7bOFuYujhBCVAqtVmvsBmOOvK//vzIoisL//vc/lixZwtSpUxkwYECl5XUzRUVFFBYWUhlzQRUWFmJpaUlWVhaWlnIrcyekLstPpVJhaWmJhUXJ90mG3+0bZ0e1trbG2traZFtBQQEHDhxgxowZxm1qtZqQkBAiIiJKPH9ERARTpkwx2RYaGmoMfqKiokhISCAkJMS439nZmU6dOhEREcHQoUNLPG96ejqurq4l7qut5DdBALBvZSZXzmqJjsinWS87cxdH1DBFRUVmuyktjVarxdLSkry8PIqKisxdnEqn0WhK/aNem/z+++/Y2Zn3M27r1q2Vct7ExEQ+++wzjhw5AsC8efPMNqbE0dERR0fHSp3q2Nvbm//++6/Szl+bSF2Wn06nIzMzk8zMzGL7cnJyAIrNmDl37lzeeOMNk21XrlyhqKgILy8vk+1eXl6cOnWqxLwTEhJKTJ+QkGDcb9hWWpobnTt3jk8++YQPPvigxP21lQRIAkVRyIgrBCA3rWaugSLMQ1EUEhISSEtLM3dRilEUBW9vby5evFhjJya4kYuLC97e3rXmekvSs2dPs07SsHXrVnr06FEpgUtwcDBHjhxBpVKhKAopKSkmg7erSmJiIhkZGXh4eGBnZ1cp7zdFUcjOzsbe3r5Wv58rgtRl+SmKQk5ODpcvX6ZJkybFApHk5GSg+GyZN7YeVRexsbH06tWLIUOGMG7cOHMXp1qRAEmQl66jIFu5+rzmf5Muqo4hOPL09Ky0G6XbpdPpyMrKwsHBocYv6Gf4o24Y+Ovj42PmEpmPRqMx+0xdlVGGgoICDh48CMC2bdvo1q0bly5doqCgAHt7+wrNqyxFRUVkZmbi5eVVqVPG63Q6tFottra2Nf73t7JJXd4ae3t71Go1SUlJ+Pj4mLTMG36vyzNbpru7OxYWFiQmJppsT0xMxNvbu8RjvL29y0xv+D8xMdHkcz4xMZHWrVubHBcXF8fDDz/M/fffzxdffFFmWWsjCZAE6bHXgiJpQRIVpaioyBgcVce1dXQ6HQUFBdjY2NSKmwJbW1sAkpKS8PT0lO52NUx0dDSKomBnZ0fXrl1xc3MjOTmZM2fO0KZNmyorh6Errbm7MQpRmQzvb61We9ufpVZWVrRr145t27YxcOBAQP93adu2bUycOLHEY4KDg9m2bRuTJ082btu6dSvBwcEABAYG4u3tzbZt24wBUUZGBpGRkYwfP954TGxsLA8//DDt2rVjxYoVteJv4K2SGhGkxxYan0uAJCqK3ChVP9f/URc1S1RUFKC/QVKpVDRt2hSA06dPm6U81am1WIiKVlHv7ylTpvDll1+ycuVK/v33X8aPH092djajR48GYMSIESaTOLz00kuEh4ezcOFCTp06xRtvvMH+/fuNAZVKpWLy5Mm89dZbbNiwgWPHjjFixAh8fX2NQVhsbCxdu3bFz8+PDz74gMuXL5OQkFDqGKXaSlqQhEmAlCcBkqhgcqNUfcjPouYyDLBv0KABAE2bNmXPnj1mC5CEEDf3xBNPcPnyZebMmUNCQgKtW7cmPDzcOLYpJibGpHXn/vvv57vvvmPWrFnMnDmTxo0bs27dOoKCgoxppk+fTnZ2Ns8++yxpaWl06dKF8PBwbGxsAH2L07lz5zh37hz16tUzKU9lzDh5t5IWJEFG3HVd7NIlQBJCiLtNSQESmK8FqTaZPHkyo0aNMncxqqVFixbRtWvXSjn3X3/9VewGvzSrV6/m/vvvr5Ry3KmJEycSHR1Nfn4+kZGRdOrUybhvx44dhIWFmaQfMmQIp0+fJj8/n+PHjxebiEWlUvHmm2+SkJBAXl4ef/zxB02aNDHuHzVqFIqilPgQ10iAJEi/JF3shBDibiYB0q3p2rUr1tbWODg44OrqSteuXTlw4IC5i1XpioqKWLhwIUFBQdjb2+Pj40Pv3r3ZuXOnuYtWpgsXLqBSqUxmRH3ggQe4dOlSuY4fNmwYe/bsMb4OCAgwrh0kREkkQBKkx0kXOyHuVhs3biQwMJCOHTty9uxZcxdHmElpAdKZM2fkm+FSvPfee2RlZREXF0ebNm3MsqhuVY8HHDZsGMuXL2fJkiWkpKQQHR3NhAkT2LBhQ5WWQ4jqTgKkWk6/BtK1LnZ5mTp0RfLHVIi7xdSpU/nyyy8ZNmwYs2fPNndxhBkoisL58+eBawFSw4YNsbCwMAYA5ixbdkF25Ty0xbfdTjBoY2PD2LFjiY2NJTk5maysLCZOnIifnx+enp6MGDGC9PR0Y/pdu3bRsmVLHBwcePTRR4stGHr+/HkeeeQRPDw88Pf356233kKn03/5GBYWRuvWrZk7dy7e3t4MHTqUlJQUBg0aRJ06dXBxcaFdu3ZER0cDkJmZybPPPouPjw8+Pj48//zzZGdnA9daVb755hsaNWqEi4sLo0aNKjXo2rlzJ2vXrmXDhg089NBDWFtbY2VlRb9+/Vi4cKHx57Vw4UIaNmyIq6srvXr1MllANiAggAULFnDffffh6OjIQw89xMWLF437T5w4Ydz38MMPm7z3SmoFurF74tmzZ+nfvz8eHh64urry6KOPAtCxY0cA6tWrh4ODA6tXr2bHjh24uLgAsHbtWho2bGhyvZGRkbi4uJCXl2esd9B3UYuJieHJJ5/EwcGB559/npdffrlYN8l3332X3r17l1iXouaTSRpqudxUHdrc6/6gKJCXocOujkwBLMTdwM3NjUaNGpGdnV0rugiJ4lJTU8nIyAD0N7Cgn0I4MDCQc+fOcfr0aerWrWuWsuVoc3CY71Bl+WXNyMLe6tbWfcrJyeGrr77C398fNzc3Hn/8cSwtLTl69CgajYZnnnmGiRMn8s0335Camkr//v157733GDt2LFu2bOGxxx7jySefNJ6re/fuTJ48mZ9//pmEhAT69OmDj48PY8eOBeD48eMMHjyYmJgYCgsLeeuttygsLCQ2NhZra2uOHTuGo6MjoJ+17MKFCxw/fhxFUXjsscd4+eWXTdat2bJlC4cOHSIzM5NOnTqxevXqEsdE/fbbb3Ts2LFYIHG9b775hg8//JDw8HAaN27M66+/ziOPPMKRI0ewtNTfMn777besX78eHx8fHn30UWbPnk1YWBiFhYX079+foUOHsmvXLg4cOEDfvn259957y/VzyM7OJiQkhGHDhvH999+j0WjYvXs3AHv37iUwMJBLly4Zg6IdO3YYj+3bty/PPPMMu3fvpnPnzsZrGTJkiHFyAoMff/yRgIAAFi1aZJzZ7fjx4wQHB/Ppp5/i4KB/v4aFhTFv3rxylV3UPNKCVMvlXZ2UwdpRhZWDfoYr6WYnhL6v/uzZswkMDMTW1paGDRsyb968Er+hfvfdd43Tq5amrDSxsbEMHz4cNzc3bG1tadmyJfv37y9XOUePHk3Dhg0ZP348ixYtKufViZrEMMW3t7e3ybT6Mg6pbDNmzMDFxYUGDRpw6tQpNmzYwOXLl/n5559ZsmQJLi4u2Nvb8+abb7JmzRqKiorYuHEjvr6+PPfcc1haWvLII4/QrVs34zk3bdpEnTp1mDx5MlZWVvj5+fHSSy/x3XffGdM4Ozvz+uuvY2VlhZ2dHRqNhuTkZM6ePYuFhQWtW7fG1dUVnU7H6tWrmT9/Pm5ubri7u/POO++watUqY4sUwJw5c3B0dMTX15devXqV+kXJ5cuXbxoof/PNN7z44ou0bNkSGxsb3nnnHS5evMjevXuNaV544QUCAwOxsbFh2LBhxvwiIiK4cuUKb7zxBlZWVgQHB/PEE0+U++exceNGNBoNb7/9Nvb29lhZWfHwww+X61grKyueeOIJvvnmG0DfdXHNmjWMGDGiXMcHBQXRokULfvrpJ+O1XL58mf79+5e7/KJmkRakWq4gR3+zp7FTY6GBgqwimahBCPTjE5YuXcrKlSu555572L9/P6NHj8bZ2ZkXX3zRmG7fvn18/vnnZX5LWlaa1NRUOnfuzMMPP8yWLVvw8PDg7Nmz1KlT56ZlLCws5OOPP2b69OksWbKkXMeImufG8UcGTZs2ZdOmTWYNkOw0dmTNyKrw8+p0OjIyM3BydDKZBtlOU/511+bPn1/sC4t9+/ah0+kIDAw02a5Wq0lISCAuLg5/f3+Tff7+/uTl5QEYW3sMrRyGstavX9/4um7duiZlnjZtGnl5eTz++OOkp6fzxBNP8O6775KRkUFBQYGxVRD0P+P8/HyuXLli3Obt7W18bm9vb9KF7Xru7u6cOnWqzDq5dOmSSX7W1tb4+vqaTIZwY36GLoZxcXH4+vqi0WhM6ubff/8tM0+D6OhoGjZseNvLEYwYMYI+ffrw8ccfEx4ejqOjI126dCn38WPGjCEsLIxRo0YRFhbGsGHDsLa2vq2yiLuftCDVcgXZ+mDIyk6FrbP+7SBTfYvKoigKBTk6szxudWzCnj17GDBgAH379iUgIIDHHnuMnj17mnyTmpWVxbBhw/jyyy9LDU5ulua9996jfv36rFixgo4dOxIYGEjPnj3L7AZjsGzZMho0aMCECRPIzMw0GSsgao+yAiQwbwuSSqXC3sq+ch6a4tvudK2v+vXro1ariYuLIy0tzfjIy8ujbt26+Pr6GscHGcTExJgc365dO5NjMzIyOHHihDHN9cERgIODA++99x6nT58mIiKCbdu28dlnn+Hh4YGVlRUXLlwwpr1w4QLW1ta4u7vf8rWFhoayd+/eMj8n6tWrZ5JfQUEBcXFx5ZpO29fXl7i4OJMxUNfXjaHrWk5OjnFbfHy88bm/vz/nz58v8bP6xjoryX333Ye7uzsbN27km2++Yfjw4aW+H0o635NPPsn+/fs5efIka9asMS7WKmonCZBqOe3VFiQrezU2LvpxR9LFTlQWba7Cxx1jzfIwGWtXDvfffz/btm3jzJkzABw5coS///7bZNDuhAkT6Nu3LyEhIaWe52ZpNmzYQPv27RkyZAienp60adOGL7/88qblS0lJYd68ebz33nvUq1cPZ2dnDh8+fEvXKGqG6hwg3W28vb0ZOHAgEydONLbSJCQksHbtWkA/1iU2NpYvv/ySwsJCNm3axPbt243H9+vXj8TERD777DPy8vIoKiri9OnTJuNlbrRx40bOnDmDTqfDyckJjUaDpaUlarWap556itdff52UlBSSk5OZOXMmTz/9dLkChht17dqVQYMGMWDAAP766y/y8/PRarWEh4fzyiuvADB8+HA+/fRTTp48SX5+PrNmzaJu3brGSRLKct999+Hq6sq8efMoKCggMjKSNWvWGPe7u7vj5+fHypUr0el0/Pnnn2zevNm4v2/fvuTn5zNnzhyys7MpKCjgzz//BMDDwwO1Wm2cjKQ0Tz/9NJ988gmbNm0qs3udl5dXsXM5OTkxePBgnnrqKQIDA2nTps1Nr1nUXBIg1XIFOde1ILlcbUFKKyrrECFqhddee42hQ4fSrFkzNBoNbdq0YfLkyQwbNgyAH374gYMHDzJ//vxSz1GeNP/99x9Lly6lcePG/Pbbb4wfP54XX3yRlStXllm+uXPnMmjQIJo3bw5AixYtOHLkyG1cqbjb3SxAunDhgrELmLi5sLAwXFxc6NChA05OTjzwwAPGcTaurq6sX7+ejz/+GBcXF7766ivjZwLoW0n++OMPtm3bRkBAAG5ubjz11FMkJCSUmt+5c+fo1asXjo6OtGjRguDgYMaPHw/Axx9/TEBAAC1atOCee+6hUaNGfPjhh7d9batXr2bkyJE8//zzuLq64ufnx+LFi41jbUaMGMGkSZPo168f3t7eHDlyhF9//dU4QUNZNBoNGzZs4LfffsPV1ZXXXnuNMWPGmKRZvnw5K1aswNnZmc8//5yhQ4ca9xnq7sCBA/j5+eHj48OSJUsAsLW1Ze7cufTu3RsXFxeTMV3Xe/rpp9m1axdt2rShUaNGpZZ15syZfPrpp7i4uPDCCy8Yt48dO5YjR45I65EARVR76enpCqCkp6eX+5iCggJl3bp1SkFBQZnpDv8vU1lwT4zyy8Qk5Y+3U5QF98QoOz9KvcMSVy/lrYvaoCrrIjc3Vzl58qSSm5tr3KbT6ZT87CKzPHQ6nUn5ioqKlNTUVKWoqKjE8n///fdKvXr1lO+//145evSosmrVKsXV1VUJCwtTYmJiFE9PT+XIkSPG9A899JDy0ksvGV+XJ42iKIpGo1GCg4NNtk2aNEm57777Sq3bEydOKC4uLkp8fLxx27hx45RHHnmk1GMUpeSficGVK1du+XPmbnI7n6MVrbJ+/xo0aKAAyq5du0y263Q6xcnJSQGUY8eOVWiepSnrPVaRbvb7K8pP6vKa6OhoxcrKSrly5UqZ6Up7n9f0z9HaRCZpqOWun6TBxkXGIInKpVKpsLK7szECVWXatGnGViSAli1bEh0dzfz583F2diYpKYm2bdsa0xcVFbFr1y4+/fRT8vPzOXDgwE3TWFhY4OPjQ4sWLUzybt68OT///HOpZXv55ZdJS0szGRdw40BwUTsUFhYax8Tc2IKkUqlo2rQp+/bt4/Tp0wQFBZmjiELcFYqKinjvvfd4/PHHcXNzM3dxhJlJgFTLmUzSUOdqgJQqAZIQOTk5xfr5W1hYoNPp6N69O8eOHTPZN3r0aJo1a8arr76KhYVFudIAdO7cudgYkTNnzhSbKctg48aNHDhwgEOHDpl0e9m3bx9jxowhNTVVZrOrRS5dukRRURHW1tb4+PgU29+kSRNjgCSEKFlUVBRBQUEEBgaajIsStZcESLXc9ZM02Lvpb9hykmUMkhCPPPIIb7/9Nn5+ftxzzz0cOnSIDz/8kDFjxuDo6Fjs23h7e3vc3NyM28uTBvStQffffz/vvPMOjz/+OHv37uWLL74wWQjSQKvVMnXqVKZNm2ZcFd7AyckJ0E8m0bVr1wqoAXE3MIw/CggIKHHgvkzUIMTNBQYGkp2dbe5iiGpEJmmo5QwtSBo7lTFAyr4iLUhCfPLJJzz22GO88MILNG/enFdeeYXnnnuuwldW79ChA2vXruX7778nKCiIefPmsWjRIpOB39eXKS0tjYkTJxbbV79+fezs7GQmu1rGECDduG6PgSFAMszGKIQQdyogIIA333zTZBr3mkYCpDLMnz+fDh064OjoiKenJwMHDiz2LVxeXh4TJkzAzc0NBwcHBg8eTGJiokmamJgY+vbti52dHZ6enkybNo3CwsKqvJRSFVzfguSufztkSwuSEDg6OrJo0SKio6PJzc3l/PnzvPXWW1hZWZWYfseOHSxatKjMc5aWpl+/fhw7doy8vDz+/fdfxo0bV+LxU6ZMITExEXt7+2L7VCoV2dnZxRa+FDWbYc2amwVI0oIkhKgokydP5pdffqFBgwb06NGDH374gfz8fHMXq0JJgFSGnTt3MmHCBP755x+2bt2KVqulZ8+eJs2wL7/8Mr/++is//vgjO3fuJC4ujkcffdS4v6ioiL59+1JQUMCePXtYuXIlYWFhzJkzxxyXVIzWMM23vQq7qy1I2hzFOP23EEKI6ssQIAUEBJS43zBxQ2pqKpmZmVVUKiFETTZ58mQOHz7M3r17ad68OZMmTcLHx4eJEydy8OBBcxevQkiAVIbw8HBGjRrFPffcQ6tWrQgLCyMmJsa4HkJ6ejpff/01H374Id26daNdu3asWLGCPXv28M8//wDw+++/c/LkSb799ltat25N7969mTdvHkuWLKGgoMCclwdAQfbVFiQ7FVb2Kixt9DOM5SRLgCSEENXdzQIkR0dHHB0dAYiLi6uiUgkhaoO2bduyePFi4uLimDt3Ll999RUdOnSgdevWLF++HEW5tQXaqxMJkG5Beno6oF8oDuDAgQNotVpCQkKMaZo1a4afnx8REREARERE0LJlS7y8vIxpQkNDycjI4MSJEyXmk5+fT0ZGhsmjshi72NmpUalU2Ltd7WZ3RbrZCSFEdXezAAnA19cXkABJCFGxtFot//vf/+jfvz9Tp06lffv2fPXVVwwePJiZM2eWOJb2biEBUjnpdDomT55M586djTNQJSQkYGVlhYuLi0laLy8v46rZCQkJJsGRYb9hX0kM66wYHpW5tolxmm97fcuRnfvViRpkHJIQQlRr+fn5xqBHAqSq17VrV+OYwh07dhS7FzA3FxcXduzYUSnn7t27N5999lm50t5zzz1s3LixUsohzOPgwYMm3eruuecejh8/zt9//83o0aOZPXs2f/zxB2vXrjV3UW+bBEjlNGHCBI4fP84PP/xQ6XnNmDGD9PR04+PixYuVlpf2uoViAZnJTlS4u7mJvaaRn0XNcvHiRRRFwdbWFg8Pj1LTSYBU3PXBzfVUKlWlzQR5/PhxHnvsMTw8PHBycqJ58+bMmjXL2Duluho1alSxyV+2bNnCCy+8UK7jT5w4Qb9+/QAICwsrtkSBuPt06NCBs2fPsnTpUmJjY/nggw9o1qyZSZrAwEDjQut3IwmQymHixIls3LiRP//802Tlem9vbwoKCkhLSzNJn5iYiLe3tzHNjbPaGV4b0tzI2toaJycnk0dlKcgxbUEydLGTtZDEndJoNIB+wVVRPRh+Foafjbi7Xd+9TqVSlZpOAiTzO3jwIMHBwTRr1owjR46QkZFBeHg4eXl5HD161NzFE+KW/Pfff4SHhzNkyJBS/57Y29uzYsWKKi5ZxZEAqQyKojBx4kTWrl3L9u3bi02j2q5dOzQaDdu2bTNuO336NDExMQQHBwMQHBzMsWPHSEpKMqbZunUrTk5OtGjRomoupBSKopiMQQKMM9nJGCRxpywsLHBxcSEpKYnk5GRyc3PJy8urVo+CggKzl6EqHrm5uSQnJ5OUlISLiwsWFhbmfnuIChAdHQ2U3b0OzBsgKYpCdnZ2lT0qspX00KFDdOnSBVdXVzw8PHjyySdJTk6+rXNNnTqVJ554grfeesv48/D39+eDDz7ggQceAODcuXOEhobi6upKw4YNTVq4DC0v8+bNw9PTEy8vL5P9Op2O2bNn4+Xlha+vL0uWLDHJ/8ZWoLS0NFQqlTHI1ul0fPLJJzRr1gxHR0caN25MeHg4ixcvZvXq1Xz22Wc4ODhwzz33AKYtcK1atWLVqlUm+fXu3Zv58+cD+vfnunXrOHToEM8//zzHjh3DwcEBBwcHoqOjsbGxISoqynhsXl4ederUITIy8rbqWlS+hx9+uMTfhbS0NOPMmXc7S3MXoDqbMGEC3333HevXr8fR0dE4ZsjZ2RlbW1ucnZ0ZO3YsU6ZMwdXVFScnJyZNmkRwcDD33XcfAD179qRFixY8/fTTLFiwgISEBGbNmsWECROwtrY25+VRmK+gXI2DjC1IxjFI0sVO3DlDK+n1XxBUF4qikJubi62tbZnfvtckLi4upbZci7tPeSZoAPMGSDk5OTg4OFRZfllZWSWuE3Y71Go17777Lp06dSIlJYUhQ4bw2muv8eWXX97SeXJycvjrr7+YNWtWqWkKCwvp168f/fv3Z/369Zw5c4ZevXrh6enJU089Bei7qj399NPExsaye/duevTowSOPPELDhg0JCwsjLCyMnTt34ufnx4QJE25pWvcvv/ySzz//nB9//JG2bdty8eJFsrOz6dWrFwcPHsTFxaXUdd6efvppvvnmG0aMGAHox1dv27aNL774wiRdmzZtWLZsGYsWLTLpxtivXz9WrlzJG2+8AcDatWvx9fWlU6dO5S6/qFoXLlygqKj4F+n5+fnExsaaoUQVTwKkMixduhTQf1NyvRUrVjBq1CgAPvroI9RqNYMHDyY/P5/Q0FCTgYsWFhZs3LiR8ePHExwcjL29PSNHjuTNN9+sqssolWGKbwCNrXSxExVPpVLh4+ODp6cnWq3W3MUxodVq2bVrFw8++GCt6HKm0Wik5aiGuRsCpOpsxowZxpvykrRq1cr43MvLiylTpjBt2rRbzic1NZWioiLq1q1baprIyEji4+ONi1Hfe++9TJw4kbCwMGOA5O7uztSpUwH9fUlAQACHDx+mYcOGrF69mkmTJhnHgbz77ruEhYWVu4zLly9nzpw5tGvXDgA/P79yHzts2DBmzpxJbGwsdevW5fvvv+eBBx4o9wRTY8eOZcKECcydOxeVSkVYWBijR48ud/6i6mzYsMH4/LfffsPZ2dn4uqioiG3btt308+huIQFSGcrTVG9jY8OSJUuKNWdfz9/fn82bN1dk0SqENvfqBA22KlTqG1uQJEASFcfCwqLa3ZxbWFhQWFiIjY1NrQiQRM1zOwGSoihV2mJqZ2dHVlZWhZ9Xp9ORkZGBk5MTavW10QJ2dnblPsf8+fOLTT5wfd2cO3eOqVOnsm/fPrKystDpdLf1WVGnTh3UajWxsbHFBrIbXLp0CV9fX6ysrIzbGjRowLfffmt8feOMuPb29sZWori4OPz9/U3S3kovlYsXL9K4ceNyp7+ej48P3bp1Y/Xq1UyfPp1Vq1YVq9eyhIaGUlBQwM6dO2ncuDE7d+4s1mVPVA8DBw4E9L8nI0eONNmn0WgICAhg4cKFZihZxZMAqRYrzNcHSIbFYeH6MUi6Kv9DKoQQovzKGyD5+PgA+rEdaWlp1KlTp5JLdo1KpaqwLm/X0+l0FBUVYW9vbxIgVaTnn3+eJk2asHLlSlxcXFi3bp2x98itsLOz44EHHuCHH36ge/fuJaapV68ecXFxaLVaYxB24cIFk4mhyuLr62sckwb6bs35+fnG1w4ODiYT5sTHx5scX79+fc6dO0fnzp2Lnbs89fv000/z7rvv0qdPH86cOcPgwYNLTFfSudRqNaNGjSIsLIymTZsSGhpaLBgU1YNOpx9+ERgYyL59+3B3dzdziSqPTNJQixVebUGytL4WBDl46N8ShXkKBVkyJbAQQlRHBQUFxr7+NwuQbG1tjQucSze78svIyMDR0REnJycuXrzI+++/f9vnWrhwIWvWrGHu3LnG8cyXLl3i1Vdf5a+//qJjx454eXkxZ84c8vPzOX78OJ988kmxb+lL8+STT7JkyRJOnz5Nbm4uM2bMMAlG2rZty2+//UZ8fDyZmZn83//9n8nxo0aNYt68eRw+fBhFUYiJieHff/8F9K1R//33X5m9agYNGkR0dDSvvPIKgwYNKnXcmZeXF/Hx8eTm5ppsHzNmDL/88gtff/01Y8aMKdc1C/OJioqq0cERSIBUq5XUgqSxVWPtpH+dmSjd7IQQojoq7xpIBjIO6dZ9+OGHbNy4EScnJwYMGFBqq0h5tGvXjt27d3P8+HHuuecenJycCAkJQaPR0KpVKzQaDRs3buTAgQN4e3vTv39/pkyZYhx/dDNjxoxh+PDhPPDAAzRo0IA2bdrg6Oho3D98+HAeeughmjVrRuvWrenbt6/J8c899xzPP/88jz/+OI6OjoSEhBATEwPAM888Q2xsLK6urtx7770l5m9nZ8fgwYP57bffjJM1lKRbt27cd9991K1bFxcXF2MeDRo0oH379mRmZhYrm6geFi9eTF5envF5WY+aQKXIyoHVXkZGBs7OzqSnp5d7TSStVsvmzZvp06dPqX2mo3bn8dNzl/FoqmHUz9dmtloxMJ4r5wp57HMPAjvbVMg1mFN56qK2kLq4RurCVHJyMu7u7rf0OXM3uZ3P0YpWke+5bdu2ERISQvPmzTl58uRN04eGhvL7778TFhZW7laJ25GXl0dUVBSBgYHY2FTe34/SxiCJW1dd6nLMmDG4urrywQcfmK0M5VXa+7wmf44GBgayf/9+3Nzcii17cz2VSsV///1XhSWrHDIGqRYrqQUJwMHLkivnCslKKjRHsYQQQtxEeccfAUReisS2ji1AjZmCV9Qs58+f56effuLAgQPmLoooxfVrVV3/vKaSr11qscK8q7PYWZsGSI6e+okaspKki50QQlRH5Q2QolKj6LKiC1sStwDSxU5UP8899xytW7fm1Vdfve2Z9ETV+vvvv81dhEonAVItVpivn43E0vrGFiR9gCRjkIQQonoqb4C04vAKCnWFFNgVABIgiern888/JzMzk9dff93cRRHl1K1bNwIDA5k5cyYnTpwwd3EqhQRItVipXewMLUgSIAkhRLVUngCpSFfEisMr9C+ujteXAEkIcafi4uKYOnUqO3fupGXLlrRu3Zr333+fS5cumbtoFUYCpFrMsFDsjQGSo6EFSbrYCSFEtVNYWGj81rZBgwalpvvjvz+4lHEJZ2tn1E76P/fRl6JLTV+RDOulCFET1fb3t7u7OxMnTmT37t2cP3+eIUOGsHLlSgICAujWrZu5i1chZJKGWqz0SRqkBUkIIaqrXbt2kZqairu7O23atCk13deHvgZgRKsR/OvwL3/wB0kJSeh0ukqbrczKygq1Wk1cXBweHh5YWVlVyoLjOp2OgoIC8vLyZBa7OyR1WX6KolBQUMDly5dRq9VYWVmZu0hmFxgYyGuvvUarVq2YPXs2O3fuNHeRKoQESLXYzSZpyEnRUaRVsNBU/B83IYQQt2fdunUA9O/fHwsLixLTXMm5wrpT+nRj2ozhbN2z/MEf6Ip0JCQl4OvtWyllU6vVBAYGEh8fX6nd+RRFITc3F1tb20oJwGoTqctbZ2dnh5+fX60PKHfv3s3q1av56aefyMvLY8CAAcyfP9/cxaoQEiDVYsYWpBsCJNs6aiw0UKTVz2TnXFfeJkIIURkURWH79u0sWrSI8+fPU1BQwODBg3nhhRfw9/cvMb0hQBo4cGCp5119dDVanZa2Pm1p7d2aFh4tUDmoULIUfor8iRcHvFhJV6RvRfLz86OwsJCiosrpiaDVatm1axcPPvigrGN2h6Qub42FhQWWlpa1OpicMWMGP/zwA3FxcfTo0YOPP/6YAQMGYGdnZ+6iVRi5863FDC1IN3axU6lUOHhakB5bRGaiBEhCCFEZ8vPzGTp0qDHgMViwYIFxRfpnnnnG5Ebs4MGDXLx4EXt7e0JCQko8r6Ioxu51Y1qPAcDKwgp3T3cuZ11mzT9rKjVAAv3fEY1GU2k33BYWFhQWFmJjYyM39XdI6lLcql27djFt2jQef/xx3N3dzV2cSlG72wZrudJakEDGIQkhRGUqKipi2LBhrFu3DisrKyZNmsQff/zBTz/9RJcuXcjLy+PZZ59lzJgxFBQUGI8zBFO9evXC1ta2xHMfjD/IsaRjWFtY81TLp4zbmwU2AyDy30iu5FypvIsTQtRou3fv5oUXXqixwRFIC1KtVtokDQBOPpbEUkB6XGFVF0sIIWq8OXPm8PPPP2NlZcXmzZvp3r27cd+gQYP44IMPmDlzJmFhYcTGxvK///0PFxcX1q5dC5TdvW571HYA+jTuQx3bOsbtzRo0469tf1GUXsTaf9cyrt24yrk4IUSNs2HDBnr37o1Go2HDhg1lpu3fv3+5zhkVFcVff/1FdHQ0OTk5eHh40KZNG4KDg7GxsamIYt82CZBqMeM03yW0ILnU07810i9JgCSEEBXp7NmzvP/++wCEhYWZBEegn+hg+vTptGzZkiFDhrB161bat2/PM888w4kTJ7C0tKRv376lnv9cyjkAWnq2NNnu63t1YoZM2HR2kwRIQohyGzhwIAkJCXh6epb5BY1Kpbrp2MPVq1fz8ccfs3//fry8vPD19cXW1paUlBTOnz+PjY0Nw4YN49VXXy1xLGZVkACpFiurBcm5rr6LXXqcdLETQoiKNH36dLRaLb169WLo0KGlpuvduze7du3i0Ucf5fz588yYMQOAkJAQ6tSpU+pxZ1POAtDItZHJ9usDpD/++4P8wnysLa3v8GqEELXB9Ws/3ck6UG3atMHKyopRo0bx888/U79+fZP9+fn5RERE8MMPP9C+fXs+++wzhgwZctv53S4Zg1SLGaf5LqmL3dWJGdJjpQVJCCEqyokTJ9i0aROWlpZ89NFHN50Jq23bthw8eJBnnnmG7t27M2/ePJYvX17mMYYWpNICJE2OhmxtNjuja8Z6JUKIqrVq1Sry8/OLbS8oKGDVqlVlHvvuu+8SGRnJCy+8UCw4ArC2tqZr164sW7aMU6dOlbkYdmWSFqRarOwWJP1bIyO2EEWnoFLX3ukshRCiovz6668AjBkzhmbNmpXrGFdXV7788stypc3V5nIx4yJQRoCUrUGLlk1nNtGzYc/yFl0IIQAYPXo0vXr1wtPT02R7ZmYmo0ePZsSIEaUeGxoaWu583NzccHNzu+1y3gkJkGqxsmaxc/K2QGVxdS2ky0U4eslbRQgh7kRMTAx79+4FYNKkSZWSR1RaFABO1k6425nOMGUIkPLS86AINp/bzMd8XCnlEELUXIqilNj6fenSJZydnW/5fElJSSQlJRXrunfvvffedhnvlNz11mLGdZBKCJDUliocvSzIiCsiPVYCJCGEuFOff/45Op2Orl27EhQUVCl5XN+97sYbGA8PDywsLCgqKsIy15JzKec4k3yGJm5NKqUsQoiapU2bNqhUKlQqFd27d8fS8tq9YVFREVFRUfTq1avc5ztw4AAjR47k33//RVH096QqlcoYgFXWQtPlIXe9tVhZXexA381OHyAVUq+tDOQVQojbVVhYSFhYGAAvvPBCpeVjCJAauzYuts/CwgJvb29iY2Np49CGfexj05lNNAmWAEkIcXOG2esOHz5MaGgoDg4Oxn1WVlYEBAQwePDgcp9vzJgxNGnShK+//hovL6+bjsmsShIg1WLXpvkuea4O57qWXNyXLxM1CCHEHfrrr7+4fPkyjo6O9OvXr9LyKW2CBgNfX19iY2MJsg5iX/4+Np3dxMvBL1daeYQQNcfcuXMBCAgIYOjQoVhb39mX5//99x8///wzjRqV/HllTjKLXS2lKIqxBamkWewAnOtdner7kkz1LYQQd+KXX34BoGPHjibdUipaaVN8GxhmhPIs0A+u3hW9i8z8zEorjxCi5mnRogWHDx8utj0yMpL9+/eX+zzdu3fnyJEjFViyiiMtSLWUrhCUq2PhShqDBNcWi027KC1IQghxu3Q6nTFACg4OrtS8btaC1LBhQwDS49Np3KIxZ1POsvW/rTza/NFKLZcQouaYMGEC06dPp1OnTibbY2Njee+994iMjCzXeb766itGjhzJ8ePHCQoKQqPRmOzv379/hZX5VkmAVEsZJmiA0scguQbq36gpUdoqKZMQQtREe/fuJS4uDkdHR1q1alVp+eQX5hOTHgOUHiAZurKcP3+evgP6sihyEZvPbpYASQhRbidPnqRt27bFtrdp04aTJ0+W+zwRERHs3r2bLVu2FNtn7kkapItdLaW92r0OFVhYlZzGNVAfP+ek6MhNl252QghxO9auXQtAnz59in1DWpEupF1Ap+iw19jjZe9VYhpDC9K5c+fo1Ug/29TW/7YaZ5ASQoibsba2JjExsdj2+Pj4W+pCPGnSJIYPH058fDw6nc7kYc7gCCRAqrUKc6+NPypt1hArOzUOXvpxSClR0s1OCCFux+bNmwHo27dvpeZT1hTfBoYWpOjoaDr5dMLKwoqY9Bjj2CUhhLiZnj17MmPGDNLT043b0tLSmDlzJj169Cj3eZKTk3n55Zfx8ir5Cx1zkgCplirI1g9A0tiVPaWioRVJutkJIcStu3TpEsePH0elUt3SjcPtME7x7VZ8im8DHx8fbG1t0el0XI67TOf6nQH4478/KrVsQoiSLVmyhICAAGxsbOjUqZNxMenS/PjjjzRr1gwbGxtatmxp/ALGQFEU5syZY/xdDwkJ4exZ0y9A3n77be6//37s7OxwcXG55TJ/8MEHXLx4EX9/fx5++GEefvhhAgMDSUhIYOHCheU+z6OPPsqff/55y/lXBQmQaqmCHH0LkpV92W8BN8M4pAvSgiSEELfqt99+A/Sz17m5uVVqXsYZ7OqUPmWuSqUydrM7f/48PRrog7at/22t1LIJIYpbs2YNU6ZMYe7cuRw8eJBWrVoRGhpKUlJSien37NnDk08+ydixYzl06BADBw5k4MCBHD9+3JhmwYIFLF68mGXLlhEZGYm9vT2hoaHk5eUZ0xQUFDBkyBDGjx9/W+WuW7cuR48eZcGCBbRo0YJ27drx8ccfc+zYMerXr1/u8zRp0oQZM2YwatQoFi5cyOLFi00e5iSTNNRSBVn6FiRrh5u0IAUYWpAkQBJCiFsVHh4OcEury9+um81gZ9CwYUOOHz/O+fPnCRkYwsztM9ketZ1CXSGWarktEKKqfPjhh4wbN47Ro0cDsGzZMjZt2sTy5ct57bXXiqX/+OOP6dWrF9OmTQNg3rx5bN26lU8//ZRly5ahKAqLFi1i1qxZDBgwAIBVq1bh5eXFunXrGDp0KAD/93//B2BcvPp22Nvb8+yzz9728aCfxc7BwYGdO3eyc+dOk30qlYoXX3zxjs5/J+STsJYqyL7agmRXdguSzGQnhKhJtFotWm3VfJ4VFhaydau+ZSYkJMSYb2XlbwiQ/J38y8wjMDAQgDNnzjDWfSx1bOqQmpfKPzH/0Klup1KPq04quy5rE6nLimOow4yMDJPt1tbWxRZVLSgo4MCBA8yYMcO4Ta1WExISQkRERInnj4iIYMqUKSbbQkNDWbduHQBRUVEkJCQQEhJi3O/s7EynTp2IiIgwBkh3atWqVWXuHzFiRLnOExUVVRHFqRQSINVShjFIVvblG4OUdrGQIq2Chabs9EIIUZ39/vvv2NnZVUlep06dIj09HUdHR5KSkozBkuH/iqRTdESnRQNw4dAFsk9kl5o2NzcX0N9s/Rb+G82tm7Mnbw+f/fYZyd7JFV62ylQZdVlbSV3euZycHIBi3czmzp3LG2+8YbLtypUrFBUVFZugwMvLi1OnTpV4/oSEhBLTJyQkGPcbtpWWpiK89NJLJq+1Wi05OTlYWVlhZ2d30wDpgQceYMCAAQwYMIDGjUsfM2lOEiDVUvmGFiSHsluQHL0tsHJQUZClkPyfFs+mpcwJLoQQd4GePXvi5ORUJXkdOnTImOcjjzyCVqtl69at9OjRo8Kn+47PiqfwSCFqlZph/YeV2VVOo9Hw+eefk5mZSZ8+fYg9GMue8D1c1FykT58+FVquylKZdVnbSF1WnORk/RcMFy9eNPmcubH16G6XmppabNvZs2cZP368sftfWcaNG8f69ev5v//7P+rVq0f//v3p378/999/f6kzcFY1CZBqKWML0k1msVOpVHg2teLSgXwun5YASQhxd9NoNFV2E2joUx8SEmKSZ2WUIT47HgBfR19srW3LTNusWTNA373FwsKCXk16QTj8E/sP+Uo+DlYOFVq2ylSVP8+aTuryzhnqz8nJ6aZfxLi7u2NhYVFsPaHExES8vb1LPMbb27vM9Ib/ExMT8fHxMUnTunXrW7qWW9W4cWPeffddhg8fXmoLmMGIESMYMWIE+fn5bNu2jfXr1zNkyBCKioro27cv/fv3JzQ0FFvbsj/LKpPMYldLFZSzBQnAo6n+Fz7ptPRPFkKI8sjNzWXPnj0AdOvWrdLzu5hxEQA/Z7+bpvXz88PS0pL8/HxiY2NpUKcBDeo0oFBXyM4LO296vBDizllZWdGuXTu2bdtm3KbT6di2bRvBwcElHhMcHGySHvRdIw3pAwMD8fb2NkmTkZFBZGRkqeesSJaWlsTFxZU7vbW1NX369OHzzz8nLi6ODRs24OPjw+zZs3Fzc6Nfv37s3r27EktcOmlBqqXKOwYJwNMYIBVUapmEEKKm2L17NwUFBdStW7dK+tjHpMcA5QuQLC0tCQgI4Ny5c5w/f5769esTEhjCF6lfsPW/rfRtUrkL2goh9KZMmcLIkSNp3749HTt2ZNGiRWRnZxtntRsxYgR169Zl/vz5gH7sz0MPPcTChQvp27cvP/zwA/v37+eLL74A9L1+Jk+ezFtvvUXjxo0JDAxk9uzZ+Pr6MnDgQGO+MTExpKSkEBMTQ1FREYcPHwb0C0k7ONy8BXnDhg0mrxVFIT4+nk8//ZTOnTvfdn106tSJTp068fbbb3P+/Hk2bNhAfHz8bZ/vTkiAVEsZW5Busg4SYOxWd/m0FkVRqk3/UCGEqK62b98OQPfu3avkM9MYIDndPEAC/VTf586d49y5c3Tt2pUeDXvwxcEvZD0kIarQE088weXLl5kzZw4JCQm0bt2a8PBw4yQLMTExqNXX7tPuv/9+vvvuO2bNmsXMmTNp3Lgx69atIygoyJhm+vTpZGdn8+yzz5KWlkaXLl0IDw/HxsbGmGbOnDmsXLnS+LpNmzYA/Pnnn3Tt2vWm5b4+2AJ9YObh4UG3bt1uaaHY6+Xl5bFmzRqys7Pp2bMnjRo14uWXX76tc1UECZBqKeM6SOVoQXJrZInKAnJTdWQlFeHoJW8bIYQoiyFAqorudXBrLUig/6b4t99+4/z58wB0D+yOWqXm5OWTRKdF4+/iX2llFUJcM3HiRCZOnFjivh07dhTbNmTIEIYMGVLq+VQqFW+++SZvvvlmqWnCwsLuaA0knU5328eCvuVMq9XyySefAPopz4ODgzlx4gR2dnZMnz7dpOugOcgYpFqqIKf8LUgaG7VxwdikUzIOSQghypKZmcn+/fsBePjhh6skT8MYpPrO5VvFvmHDhgCcO6dfO6mObR0619d3jdl0dlMllFAIIfR+//13evToYXy9evVqoqOjOXv2LKmpqQwZMoS33nrLjCWUFqQy7dq1i/fff58DBw4QHx/P2rVrTZoVFUVh7ty5fPnll6SlpdG5c2eWLl1q0t88JSWFSZMm8euvv6JWqxk8eDAff/xxufp4VibjGCSH8nX98GphRfL5QhKOF9DwIfPNKiKEENXd7t27KSoqIjAwED+/8rXo3KlbbUEyBEiGFiSAvo378lfMX2w6u4kXOrxQ8YUUQty1blygtiwffvhhmftjYmJo0aKF8fXvv//OY489hr+/vuX6pZdeMvuSAxIglSE7O5tWrVoxZswYHn300WL7FyxYwOLFi1m5cqVxIFxoaCgnT5409vUcNmwY8fHxbN26Fa1Wy+jRo3n22Wf57rvvqvpyTORnGab5Ll8jom8rK07+mkPcEZmoQQghymKY3vuhhx6qkvxytbkkZScBt9bFDvQtSIaxpf2a9OO1ba+x7b9tZBdkY29lX2llFkLcXQzruhkcPHiQwsJCmjZtCsCZM2ewsLCgXbt2Nz2XWq1GURTj63/++YfZs2cbX7u4uJS41lJVkgCpDL1796Z3794l7lMUhUWLFjFr1iwGDBgAwKpVq/Dy8mLdunUMHTqUf//9l/DwcPbt20f79u0B+OSTT+jTpw8ffPABvr6+VXYtN9Iau9iVrwXJt5V+kbP4Y/koOgWVWiZqEEKIkhgCpPIMdq4IlzIuAWCvsaeOTZ1yHRMYGAjouwNeuXIFDw8PWni0wN/Zn+j0aLZHbeeRpo9UWpmFEHeXP//80/j8ww8/xNHRkZUrV1Knjv4zJzU1ldGjR/PAAw/c9FzNmzfn119/ZcqUKZw4cYKYmBiT7sjR0dHGiSrMRcYg3aaoqCgSEhIICQkxbnN2dqZTp05EREQAEBERgYuLizE4Av2CgWq1msjIyFLPnZ+fT0ZGhsmjohlbkMqxDhKAR2MNGlsV+ZkKKVGFFV4eIYSoCbKzs9m3bx9QdS1I16+BVN4Z82xtbalXrx5wrZudoRUJZBySEKJ0CxcuZP78+cbgCKBOnTq89dZb5ZrFbvr06cyYMYPu3bvTvXt3+vTpY/zSBmDz5s107NixUspeXhIg3aaEhASAYhGul5eXcV9CQgKenp4m+y0tLXF1dTWmKcn8+fNxdnY2PurXL9+g2/Iq0ioUXe0pV94WJLWlCu979NN9xx3Jr9DyCCFETbFnzx4KCwvx8/MjICCgSvI0jD8q7wQNBjdO1AD6cUgAG89sNOkCI4QQBhkZGVy+fLnY9suXL5OZmXnT4wcNGsTmzZu59957efnll1mzZo3Jfjs7O154wbzjICVAqoZmzJhBenq68XHx4sUKPX9BzrXpGcs7BgnAp5UhQJJxSEIIUZKqHn8Et74GkoFhHNL1EzU8HPgwdho7YjNjOZJ4pOIKKYSoMQYNGsTo0aP55ZdfuHTpEpcuXeLnn39m7NixJY7Zv15MjP7zqnv37nz00Ue8+uqr2NnZmaSZO3eusYtybGxspVzDzUiAdJu8vb0BSExMNNmemJho3Oft7U1SUpLJ/sLCQlJSUoxpSmJtbY2Tk5PJoyLlZ+q/FbS0VmGhKf9Yorpt9OOQLh6QFiQhhCiJWQOkck7QYGAIkE6dOmXcZmNpQ/fA7gBsOiPd7IQQxS1btozevXvz1FNP4e/vj7+/P0899RS9evXis88+K/PYDh068Nxzzxm7IpckPT2dL7/8kqCgIH7++eeKLn65SIB0mwIDA/H29mbbtm3GbRkZGURGRhoXtgoODiYtLY0DBw4Y02zfvh2dTkenTp2qvMwG6bH6MUSO3ha3dFz9dtao1JB6oZDMBBmHJIQQ18vNzWXv3r3A3REgtWrVCig+O5VhHNLGsxsroHRCiJrGzs6Ozz77jOTkZA4dOsShQ4dISUnhs88+w96+7NkvT548ib29PT169MDb25u+ffsybtw4Jk2axPDhw2nbti2enp4sX76cBQsW8OKLL1bRVZmSWezKkJWVZdI3OyoqisOHD+Pq6oqfnx+TJ0/mrbfeonHjxsZpvn19fY1rJTVv3pxevXoxbtw4li1bhlarZeLEiQwdOtSsM9ilXtAHN3X8b+3Hb+2oxvseK+KPFRAdmU/QAHn7CCGEQWRkJAUFBfj6+hrH91SF6ydpuBVt27YF9NPzZmZm4ujoCFwbhxR5KZKk7CQ87T1LPYcQovayt7fn3nvvvaVj3Nzc+PDDD3n77bfZtGkTf//9N9HR0eTm5uLu7s6wYcMIDQ0lKCiokkpdPnKHW4b9+/ebTDtoWCRr5MiRhIWFMX36dLKzs3n22WdJS0ujS5cuhIeHG9dAAv3qwBMnTqR79+7GhWIXL15c5ddyvZRoLQB1Am79x+/XyZr4YwXEROYRNEDWyBBCCAND97oHH3yw3LPJ3SlFUW57kgYvLy/q1q1LbGwsR44coUuXLgDUdapLG+82HEo4xNp/1/Jc++cqvNxCiLtXdnY27777Ltu2bSMpKQmdTmey/7///rvpOWxtbXnsscd47LHHKquYd0QCpDJ07dq1zFl8VCoVb775Jm+++WapaVxdXc2+KOyNDC1Irv6aWz7Wr5MNkV9lEh2Zb1xcUAghhHnGH6XkppCjzQGgnlO9Wz6+bdu2xMbGcvDgQWOABDA0aCiHEg6x+thqCZCEECaeeeYZdu7cydNPP42Pj0+NvBeUAKkW0BUqXDqYj6W1Cp97rUiNvtrF7jZakOq2scLSWkVWYhFXzmrxaGJV0cUVQoi7TkFBgXENPHOMP/Ky98LG0uYmqYtr27Ytv/76KwcPHjTZ/mTQk7z2x2v8FfMXMekxt9x9TwhRc23ZsoVNmzbRuXNncxel0sgkDTVcYZ7Cmmcus2bMZVYPS2LtpCvGAMn1FscgAWhs1PgH62ezO7s9t0LLKoQQd6t9+/aRl5eHu7s7zZo1q7J8b3f8kYFhHNKNAVJ95/o86P8gAN8f+/4OSiiEqGnq1KmDq6uruYtRqSRAquH++SKLS/vzQQUqCzi/Iw/QLxDr4Hlrs9gZNHrYFoBzEiAJIQQAO3bsAPRds6uyu8n5FP0aRv4u/rd1vCFAOnnyJLm5pp/pw1oOA2D1sdV3UEIhRE0zb9485syZQ05OjrmLUmkkQKrBivLUHPlB/+YduMiNx7/0wMpB/4f7/vFOqNS390e8YVdbUEHiSS0Z8TLdtxBCXB8gVaVTV/RrGDVzu71Wq7p16+Lh4UFRURFHjx412Te4xWA0ag3Hko5xLPHYHZdVCFEzLFy4kN9++w0vLy9atmxJ27ZtTR41gYxBqsEyj7qizVVwa2hJo262qFQqxqzzJjWmkPodrG/7vPZuFtRtbUXsoQLO/ZlL26ccK7DUQghxdykoKGD37t1A1QdI/175F4DmHs1v63iVSkW7du0IDw/n4MGDJmv0udq60qdxH9afXs93x75jvtf8CimzEOLuZljOpiaTAKkGyz7lDMA9/e2NXT4cvS1x9L7zH3ujbrb6AGm7BEhCiNpt3759xjU8WrRoUaV5G1uQ3G9/3FPbtm2NAdKNhrUcpg+Qjn/H293fRq2SjidC1HZz5841dxEqnXzS1VBFWoWcKAcAAjrf+sxGN9O4m34c0sX9+eSkFFX4+YUQ4m5hrvFHyTnJXM65DEBTt6a3fZ7SJmoA6NekH45WjsSkx7Dn4p7bzkMIUfMcOHCAb7/9lm+//ZZDhw6ZuzgVSgKkGirpXy1KgQW2Lio8m9z6ekc3U8dfg1cLDbpCOLEhu8LPL4QQdwtzjz/yc/bD3ur2F+42BEjHjh2joKDAZJ+txpZHmz8KwPJDy287DyFEzZGUlES3bt3o0KEDL774Ii+++CLt2rWje/fuXL582dzFqxASINVQSaf0kyd4ttDc9mQMN9NqiL6F6ujP2WUuqCuEEDVVXl6e2cYfVUT3OoCAgABcXFzQarWcOHGi2P5n2z0LwHfHviMpO+mO8hJC3P0mTZpEZmYmJ06cICUlhZSUFI4fP05GRgYvvviiuYtXISRAqqEun9YC4Nms4luPDJr3sUNjqyIlqpBLB/IrLR8hhKiuIiIiyM3Nxdvbu8rHHxknaHC/vQkaDFQqVZnd7ILrBdOxbkfyi/JZum/pHeUlhLj7hYeH89lnn9G8+bXPnhYtWrBkyRK2bNlixpJVHAmQaqjLp/UtSB6VGCBZ2atp3tcOgCM/Sjc7IUTt88cffwAQEhJSpeOPoOJakADatWsHlBwgqVQqXr7vZQA+2/8ZeYV5d5yfEOLupdPp0GiK319qNBp0Op0ZSlTxJECqgRRFIfWCPkBya1C5ExXeO1jf7/3M1hyyr8hkDUKI2uX6AKmqVWSAVFYLEsDg5oOp51SPpOwkvj/2/R3nJ4S4e3Xr1o2XXnqJuLg447bY2FhefvllunfvbsaSVRwJkGqgnGQdBdkKqBSc61lUal7eQVb43GtFUQHsX5VZqXkJIUR1kpqayv79+wGq/KYgrzCPqLQo4M672IFpC1J2dvEeARoLDS921I8t+Oifj2TcqRC12KeffkpGRgYBAQE0bNiQhg0bEhgYSEZGBp988om5i1chJECqgVJj9K1Hls4FWFpXbpcPlUpF8LNOABz6PovcNGlFEkLUDjt27ECn09GsWTPq1atXpXmfTT6LTtHhYuOCp73nHZ+vUaNGBAQEUFBQwLZt20pMM67dOOw19hxLOsb2qO13nKcQ4u5Uv359Dh48yKZNm5g8eTKTJ09m8+bNHDx4sMo/CyuLBEg1UNrVAMnKrWomTmjwkA2ezTVocxUOfJNVJXkKIYS5/f7774B5utcZJmho5t6sQsY+qVQq+vXrB8DGjRtLTONi48Lo1qMBWBix8I7zFELcXbZv306LFi3IyMhApVLRo0cPJk2axKRJk+jQoQP33HMPf/31l7mLWSEkQKqBDC1IGteqCZCub0U6sDqTnFRpRRJC1GyKorB582YAevfuXeX5G8YfVUT3OgNDgLRp06ZSu9C9dN9LWKgs2HJuCzsu7KiwvIUQ1d+iRYsYN24cTk5OxfY5Ozvz3HPP8eGHH5qhZBVPAqQaKCPOECAV3CRlxWnc3RaPphoKshT+XpxeZfkKIYQ5nDx5kpiYGGxsbKp8/SMwbUGqKA899BB2dnbExcVx+PDhEtM0cm3Ec+2eA2Dq71PRKTVjxiohxM0dOXKEXr16lbq/Z8+eHDhwoApLVHkkQKqBMuL1LTiWLlUXIKnUKrrPcAHgyE/ZJJ6suryFEKKqGVqPHn74Yezs7Ko8/38vV3yAZGNjQ48ePYDSu9kBvNH1DZysnTgYf5Bvj35bYfkLIaq3xMTEEqf3NrC0tOTy5ctVWKLKIwFSDWRsQarCAAmgfnsbmvexAwX+eDsVRSezHAkhaiZDgNSnT58qzzsxK5GjiUcBaOfTrkLPfX03u9J42Hvw+gOvAzBz20yyC2QdPCFqg7p163L8+PFS9x89ehQfH58qLFHlkQCphtEVKmQmXW1Bcq76VpyHpjqjsVURd6SAfStl2m8hRM2Tnp7O33//DZgnQPr1zK8oKLT3bU9dp7oVem7D9ezdu5fExMRS073Y6UUCXAKIzYyVCRuEqCX69OnD7Nmzycsrvlh0bm4uc+fONX7JcreTAKmGybpchFIEakuwdNRWef6OXpY8/KoLAH99nC5d7YQQNc7mzZspLCykadOmNGjQoMrzX396PQADmg6o8HP7+vrStm1bFEVhy5YtpaazsbThvZD3AHhv93tEp0VXeFmEENXLrFmzSElJoUmTJixYsID169ezfv163nvvPZo2bUpKSgqvv/66uYtZISRAqmEM448cvCxQmemne+9gexp3t0VXCBtfTaYgRwbxCiFqjp9//hmAwYMHV3ne2QXZ/PHfH0DlBEhQvm52AENaDKGLXxdytDkM+2UYhbrCSimPEKJ68PLyYs+ePQQFBTFjxgwGDRrEoEGDmDlzJkFBQfz99994eXmZu5gVQgKkGiYjXv8HytHbfD9alUpF6P/VwcHLgpSoQv14JFl1XQhRA+Tk5BhbVswRIP1+/nfyCvMIdAkkyDOoUvLo27cvAL/99hsFBaX3AlCpVKwcuBJHK0d2X9zNO3+9UynlEUJUH/7+/mzevJkrV64QGRnJP//8w5UrV9i8eTOBgYHmLl6FkQCphslM0LcgOXlbmLUcti4W9HnHFZUaTqzPYfeSDLOWRwghKkJ4eDg5OTkEBATQpk2bKs//+u51FbFAbEnat2+Pl5cXmZmZZXazA2hQpwGf9f0MgDd3vknExYhKKZMQonqpU6cOHTp0oGPHjtSpU8fcxalwEiDVMMYudmYOkAD8O9nQY7b+lyZiWQaH12SZuURCCHFnru9eV1kBSmkKdYVsPKOffntAs8rpXgegVqsZOXIkAB988MFN0w+/dzhPtXyKIqWIp355ivQ8WQtPCHF3kwCphslMMHSxM3+ABNBqiAP3j9evuPzH26mc3CjTwQoh7k5ZWVmsX69vwTFH97q/ov8iOTeZOjZ16OLXpVLzeumll9BoNPz9999ERNy8VeizPp8R4BLAhbQLPPq/R8nV5lZq+YQQojJJgFTDGFqQHL2qR4AEcP8LTtw7xB5FB5teS+HANzL9txDi7vPzzz+TnZ1No0aNuO+++6o0b0VReHPXm4B+cgRLtWWl5ufr68vw4cMBeP/992+a3tnGmR+H/IiDlQPbo7Yz+H+DyS/Mr9QyCiFEZZEAqYYxTtLgU31+tCqVip6z69B2mAMA299LY9eiNFlIVghxVwkLCwNg1KhRVd697vfzv7Pjwg6sLax5/cGqmUb3lVdeAWDdunWcOXPmpunb+7Zn01ObsLW0Zcu5LQz9eSjaoqpfbkIIIe5U9bmLFncsL0NHfoY+6HDyrT4tSAAqtYpur7nwwIvOAER+lcnPL1whJ7XIzCUTQoibi4qKYseOHahUKp5++ukqzVtbpOW1ba8BMKHDBPyc/aok3xYtWtCvXz8URWHhwvItBvug/4NseHID1hbWrDu1jqfXPk2RTj7nhRB3FwmQapCMOH3rkW0dNVZ21e9Hq1KpuO9ZJ3q/7YqljYqov/NY+VgiF/cXX5FZCCGqk+XLlwPQvXt3/PyqJkAx+L+d/8fhhMM4Wzsz44EZVZr39OnTAVi5ciWJiYnlOiakQQi/PPELGrWGNSfWMGbDGHSKrIcnhLh7VL+7aHHb0uP039I5V7PWoxsFDbBn+HeeuAZakpVYxA+jLvP7/6WQlyF/QIUQ1U9ubi5Lly4F4LnnnqvSvP+M+tO4vtAXj3yBu517lebfpUsXOnXqRH5+PvPmzSv3cX0a92HNY2uwUFmw6sgq+qzuQ0JWQiWWVAghKo4ESDVIRqy+Bcm5XuUO3q0IHk2seHqNF/cOtgfgyI/ZLO8fz7FfstAVytgkIUT18c0335CcnExAQAADBw6ssnzPJp9lyI9DUFAY22Ysj9/zeJXlbaBSqXjzTf3kEEuWLCE8PLzcxw5qPojvB3+PraUtv53/jXuX3svms5srq6hCCFFhJECqQdIu6gMkJ9/qHyABWNmpCf0/V4au8MA10JLsKzrC56QS9mgCZ7bmyCQOQgiz0+l0fPTRRwBMnjwZS8uq+XxNzEqk9+reJOcm08G3A4t7L66SfEvSs2dPJk6cCOgnqEhKSir3sUPuGcL+Z/dzr9e9XM65TN/v+vLilhfJK5Su1UKI6ksCpBok5YI+QHINuDsCJIP6HWwY+ZM3XV9xxsZZTfJ/hax/OZmv+ydweE0W2lzpeieEMI///e9/nDp1CicnJ8aMGVMlecZlxvFQ2EOcTz1PgEsAvz75K3YauyrJuzQLFiwgKCiIxMRERo8ejaKU/wusFh4tiHwmksmdJgPwyd5P6PhlR3Ze2FlJpRVCiDsjAVINkhKln07VNVBj5pLcOktrFR1GOfFsuA/3PeuEtaOK1AuFbJ2Xyuc94tm+IJWkUwXmLqYQohbJz89n5syZAEybNg1HR8dKz/Pk5ZN0Wd6F08mnqe9Un61Pb8XLwavS870ZW1tbvv/+e6ytrdm8eTOffPLJLR1vY2nDR70+YvNTm/G09+RY0jG6ruxKyKoQIi7efCFaIYSoShIg1RDaXJ1xkVjXwLurBel61o5qHnjRmef/8KXbqy4417UgN03HgVVZrHwskbDBCUQuzyDlgqytIYSoXMuWLSMqKgofHx9efvnlSs9v3al13PfVfUSlRdGgTgN2jd5FI9dGlZ5veQUFBRkXjZ08efItB0kAvRv35ujzR3m+3fNo1Bq2RW3j/uX302d1H/bF7qvoIgshxG2RAKmGMHSvs3FWY1enes9iVx5W9mraPe3IM5t8GPSpO0162GKhgcuntez6MJ2v+yWwvH88Oz9KI/qfPLR50g1PCFFxYmJimDNnDgBvvPEG9vb2lZZXWl4az/36HIPWDCKzIJMH/R8k8plIAlwCKi3P2zVx4kQmTpyIoii8+OKLvP7667fU3Q7Ay8GLpf2WcmbSGca2GYuFyoIt57bQ8auOdPyyI5/u/ZQrOVcq6QqEEOLm7t6mBmEi4YS++5ln87uve11Z1JYqGnW1pVFXW3LTizgdnsvZbbnE7M0j+b9Ckv/LZO/XmVhYQd021tRra41vayt8Wlpj4yTxvxDi1ul0OkaPHk1GRgbBwcGVNvYovzCfFYdXMOfPOVzOuYwKFa/c/wpvdXsLKwurSsnzTqlUKhYvXoy3tzezZs3inXfeIS4ujk8++QQHB4dbOleASwBf9f+K17q8xps73+S7Y9+xL24f++L2MeW3KfRt0pfhLYfTo2EPnKydKumKhBCiOAmQaoiEY/oAyeee6vlHtSLYOlvQ+gkHWj/hQH6mjv/+yiNqdy7R/+STlVhETGQ+MZH5+sQq/WQVXs2tcG9qQU66I9lXinD2tkSlUpn3QoQQ1drbb7/N9u3bsbOzY+XKlRU+c118VjzfHv+Wz/Z9RmxmLADN3JuxtO9SugZ0rdC8KoNKpeL111/Hy8uL5557jrCwMLZu3cr777/P0KFDb/kztpFrI1YNWsUHPT/g+2Pfs+roKg7GH2TdqXWsO7UOC5UF7X3b0y2wG90Cu3F//fvRULO+DBRCVC8SINUQcUf1AZJ3y5obIF3P2lFN8z52NO9jh6IopEQVErM3n7jD+cQdKSDtYiEpUfoHmwEa8+Xyy9g4qXFrZIlbAw11/Cyp42+Ji58lLvUs0dhKi5MQtd3y5cuNXes+/vhjGjdufMfn1Ck6TiSdIPxsOCvPruTfI/+iU/Tdgus61uXVzq/yfPvn0VjcXTf9zzzzDH5+fowfP57//vuPp556imXLlvHKK68QGhqKldWt/T3ytPfkpfte4qX7XuJ40nG+OfINv5z6hXMp54iMjSQyNpL5f8/HysKK++reh1e+F1kns2jt05ombk3uuvoTQlRfEiDVAOmxhVw5q0Wlhnptrc1dnCqnUqlwa6DBrYGGNkP1XTyyrxSR+G8BSf9qiT+RR/ThdLQpNuRl6Ig9WEDsweIz4tm5qnHytcTJ1wInH0scvS1w9LTAwdMCBy8L7N0ssLSW1ichaiJFUXj//fd57bXXAJgxYwbPPPPMLZ8jMTuR8ynnOZ18mpOXT3Ik8Qj74/aTlpdmkrZz/c6MazuOoUFDsba8ez+3e/bsyYkTJ/jggw9455132LVrF7t27cLNzY3HH3+c4cOHExwcfMutSkGeQbzX4z3e6/EeMekx/Bn1J9svbGd71HYuZVxiV8wuAH5c9yMAVhZWNHNvRkvPlgR5BtGwTkMCXALwd/HHw85Deg4IIW6JBEhVZMmSJbz//vskJCTQqlUrPvnkEzp27Fgh5z79ew6gD47sXO/+CRoqgr27BQ0esKXBA7ZotbZs3hxBz269yYiF5HNakv8rJO1iIWkxWlJjCsnPVMhJ0ZGTUkDC8dLPa+2kwt5NHyzZuqqxdVFj52qBrYv+uY2z/mF79X9rBzVqS/nDLER1duHCBV566SU2bNgAwPjx43n77beLpVMUhcs5l4lKjeJC2gXjIzo92vg8tzC3xDxsLW150O9B6ubVZcagGTRyrz6z090pGxsbZs2axYgRI/joo4/4/vvvSUxMZOnSpSxdupSAgAAeeOAB2rVrR7t27WjduvUtjVfyc/ZjZOuRjGw9EkVROJ96nq3ntrJu7zoybDI4cfkEmQWZHE08ytHEo8WOt7W0xc/ZD38Xf+o71cfL3gsvBy887T1NHq62rliq5bZIVK1bvT/88ccfmT17NhcuXKBx48a899579OnTx7hfURTmzp3Ll19+SVpaGp07d2bp0qUmreEpKSlMmjSJX3/9FbVazeDBg/n4449veRxhTSafBFVgzZo1TJkyhWXLltGpUycWLVpEaGgop0+fxtPT847OnZ+lY/+qTACa9zXvQoLVnaWNCq9mGryamXb7UBSFvAwdGXFFZMQVkhFXRHp8IVmJRWQlXXsUaSE/QyE/42rXvXLS2KqwdlRj7ajCykGNlZ0KK3s11g4qrOzUaGxVaOxUaGyvPrdVYWmjQmOjwtJa/9zy6nMLzdVt1iosrFSoLZFvRoW4DUVFRezfv5+vvvqKb7/9lry8PCwtLXn3g3fp8UQPNp3dRFRqFFFpUfyX+p/xka3NLvO8apWa+k71aeLWxNii0d63PUGeQaCDzZs34+/sX0VXWbX8/Pz46KOPeP/999m+fTvffvstv/zyCxcuXODChQt88803gP4zq0mTJgQGBlK/fn38/PyoX78+9erVw83NjTp16uDq6oqDg0OxzzeVSkUj10b4t/HHN96XPn36YGlpSXR6NMcSj3Es6RgnLp8gKjWK6PRo4jPjyS3M5XTyaU4nn77pNThYOeBi44KLjQvO1s76/22ccbRyxMHKAXuNPQ5WDvrnVvbYa+yxsbTBVmOLjaWN/rnltec2ljZYW1qjUWuwVMsYWGHqVu8P9+zZw5NPPsn8+fPp168f3333HQMHDuTgwYMEBQUB+kWdFy9ezMqVKwkMDGT27NmEhoZy8uRJbGxsABg2bBjx8fFs3boVrVbL6NGjefbZZ/nuu++q9PqrM5Vyq/NzilvWqVMnOnTowKeffgroZ0iqX78+kyZNMnbnKEtGRgbOzs4cWBuPg70TCqDTQk5KEcfWZnP5tBbnuhaM+dUHSyv9h69Wq2Xz5s306dMHjaZ298uuiLpQFIX8TIXsK0VXHzpy04rISdGRm1pETqqOvAwdeWk68tJ15Kbr0OZUza+W2hIsrPTBk4VGP/Of2hIsNCrUlle3WahQWYBKrZCSloyHlzsWlmrUFqBSq67+fzWdGlQWoFZffa4GlWG7imvbVCowvFbpz6O6OozLkA7V1eeGtCr9NlRX/1NfTcy1fSquHQfXpTfs4IZ9N7w23n5cv++GexKVSkVhUSFHjx6l1b2tsLAsueXV5F5GVcr2m+0rLWFZeZXvkDLd6vnSM1LpNKQe6enpODnVvBnDDJ+jbXu2JS05jbgzceRl5hn32zayhT6Q61pyC5CBChV1neoS4BJAoEsg/s7++Lv44+/sT2CdQPyc/Uqdga42fi5nZ2fz559/cuDAAeMjLi6uXMdaWlri7OyMvb09dnZ2Jg8bGxtSU1Px8/PDxsYGjUaDlZUVGo0GjUaDpaUlFhYWKCqFLG0WGdoM0gvSydBmkKPNIVObSZY2i8wC/f/Z2uxrvxul/V/W8/K8BizUFliqLYs9LNQWqFVqLFQWWKivPlT6bWqVGrVabXxusv26/SpUxteG5yqVCjX6/1UqFSr0/6uvflirUaOgkJiQiI+PDxZqC2M6VPr9gMkxKsPn8NU0hnMathm2G19f92Fk3H+1foznujEQvj6PG+pSxQ1pS/mwK5buute3GqiWN31Odg6fz/q83J+jt3p/+MQTT5Cdnc3GjRuN2+677z5at27NsmXLUBQFX19fpk6dyiuvvAJAeno6Xl5ehIWFMXToUP79919atGjBvn37aN++PQDh4eH06dOHS5cu4evrW65rremkBamSFRQUcODAAWbMmGHcplarCQkJISKi5NXD8/Pzyc/PN75OT08H4OfpMdhYFG/+tHZU8fCbHuTkZcLVv/darZacnBwyMjJqzR/i0lRkXWjcwcUdXIxbVJT2a1SkVcjP0pGfpVCQpSM/S4c2W0d+tkJBjo7CHP3/2lwFbZ5CYS5o83QU5CoU5isU5SsU5umfF+YrFBVcfdy4Rm4RkF9SCUqjIvVs8q1deI3lRvT/Lpm7ENVCXlEWwC2vaXO3MFzXwd8PXtuoARoBbSG3/tXAKA9cbFyo51QPPyd9t6wA5wBjEOTn5Ff6mCEFMtMySy2D4bMoOTm5Vn0uBwcHExwcbHydmJjIv//+S2xsLJcuXSI2Npa4uDji4uJIS0sjNTUVrVZLYWEhycnJJCfXnM+roqv/8m/tQ1vcZQz3bQbW1tZYW5t+btzO/WFERARTpkwx2RYaGsq6desAiIqKIiEhgZCQEON+Z2dnOnXqREREBEOHDiUiIgIXFxdjcAQQEhKCWq0mMjKSQYMG3dY11zQSIFWyK1euUFRUhJeXl8l2Ly8vTp06VeIx8+fP5//+7/+KbX/nbKdS83n1vjsrpxBCACQnJ+Ps7GzuYlS4zMwSAhct8O/Vx3XSrv47ThkDEoUQohR+fn4mr+fOncsbb7xhsu127g8TEhJKTJ+QkGDcb9hWVpobu+9ZWlri6upqTCMkQKqWZsyYYfINgU6nIyUlBTc3t3I382ZkZFC/fn0uXrxYI7vL3Aqpi2ukLq6RujCVnp6On58frq6u5i5KpfD19eXixYs4OjqabRyIvOcqjtRlxZG6rDiGz9Ho6GhcXFyM229sPRLVnwRIlczd3R0LCwsSExNNticmJuLt7V3iMSU1xV7/i3YrnJyc5APvKqmLa6QurpG6MKVW18z1wNRqNfXq1TN3MQB5z1UkqcuKI3VZcVxcXG5al7dzf+jt7V1mesP/iYn6MWXXp2ndurUxTVJSksk5CgsLSUlJKTXf2qhm/iWsRqysrGjXrh3btm0zbtPpdGzbts2kT7YQQgghhKgdbuf+MDg42CQ9wNatW43pAwMD8fb2NkmTkZFBZGSkMU1wcDBpaWkcOHDAmGb79u3odDo6dSp9KEdtIy1IVWDKlCmMHDmS9u3b07FjRxYtWkR2djajR482d9GEEEIIIYQZ3Oz+cMSIEdStW5f58+cD8NJLL/HQQw+xcOFC+vbtyw8//MD+/fv54osvAP1se5MnT+att96icePGxmm+fX19GThwIADNmzenV69ejBs3jmXLlqHVapk4cSJDhw6VGeyuIwFSFXjiiSe4fPkyc+bMISEhgdatWxMeHl5sEF1Fsra2Zu7cudLvFamL60ldXCN1YUrqo/JJHVccqcuKI3VZcW61Lm92fxgTE2PS7fn+++/nu+++Y9asWcycOZPGjRuzbt064xpIANOnTyc7O5tnn32WtLQ0unTpQnh4uHENJIDVq1czceJEunfvblwodvHixRVUCzWDrIMkhBBCCCGEEFfJGCQhhBBCCCGEuEoCJCGEEEIIIYS4SgIkIYQQQgghhLhKAiQhhBBCCCGEuEoCJCGEEOI27dq1i0ceeQRfX19UKhXr1q0z2a8oCnPmzMHHxwdbW1tCQkI4e/asSZqUlBSGDRuGk5MTLi4ujB07lqysrCq8iurhZnU5atQoVCqVyaNXr14maaQu9ebPn0+HDh1wdHTE09OTgQMHcvr0aZM0eXl5TJgwATc3NxwcHBg8eHCxRUhjYmLo27cvdnZ2eHp6Mm3aNAoLC6vyUsyuPHXZtWvXYu/N559/3iSN1OXdRQIkIYQQ4jZlZ2fTqlUrlixZUuL+BQsWsHjxYpYtW0ZkZCT29vaEhoaSl5dnTDNs2DBOnDjB1q1b2bhxI7t27eLZZ5+tqkuoNm5WlwC9evUiPj7e+Pj+++9N9ktd6u3cuZMJEybwzz//sHXrVrRaLT179iQ7O9uY5uWXX+bXX3/lxx9/ZOfOncTFxfHoo48a9xcVFdG3b18KCgrYs2cPK1euJCwsjDlz5pjjksymPHUJMG7cOJP35oIFC4z7pC7vQooQQggh7higrF271vhap9Mp3t7eyvvvv2/clpaWplhbWyvff/+9oiiKcvLkSQVQ9u3bZ0yzZcsWRaVSKbGxsVVW9urmxrpUFEUZOXKkMmDAgFKPkbosXVJSkgIoO3fuVBRF/z7UaDTKjz/+aEzz77//KoASERGhKIqibN68WVGr1UpCQoIxzdKlSxUnJyclPz+/ai+gGrmxLhVFUR566CHlpZdeKvUYqcu7j7QgCSGEEJUgKiqKhIQEQkJCjNucnZ3p1KkTERERAERERODi4kL79u2NaUJCQlCr1URGRlZ5mau7HTt24OnpSdOmTRk/fjzJycnGfVKXpUtPTwfA1dUVgAMHDqDVak3em82aNcPPz8/kvdmyZUuTRe1DQ0PJyMjgxIkTVVj66uXGujRYvXo17u7uBAUFMWPGDHJycoz7pC7vPpbmLoAQQghREyUkJACY3BQZXhv2JSQk4OnpabLf0tISV1dXYxqh16tXLx599FECAwM5f/48M2fOpHfv3kRERGBhYSF1WQqdTsfkyZPp3LkzQUFBgP59Z2VlhYuLi0naG9+bJb13Dftqo5LqEuCpp57C398fX19fjh49yquvvsrp06f55ZdfAKnLu5EESEIIIYSo9oYOHWp83rJlS+69914aNmzIjh076N69uxlLVr1NmDCB48eP8/fff5u7KHe90ury+nFuLVu2xMfHh+7du3P+/HkaNmxY1cUUFUC62AkhhBCVwNvbG6DYzGCJiYnGfd7e3iQlJZnsLywsJCUlxZhGlKxBgwa4u7tz7tw5QOqyJBMnTmTjxo38+eef1KtXz7jd29ubgoIC0tLSTNLf+N4s6b1r2FfblFaXJenUqROAyXtT6vLuIgGSEEIIUQkCAwPx9vZm27Ztxm0ZGRlERkYSHBwMQHBwMGlpaRw4cMCYZvv27eh0OuNNlijZpUuXSE5OxsfHB5C6vJ6iKEycOJG1a9eyfft2AgMDTfa3a9cOjUZj8t48ffo0MTExJu/NY8eOmQSdW7duxcnJiRYtWlTNhVQDN6vLkhw+fBjA5L0pdXmXMfcsEUIIIcTdKjMzUzl06JBy6NAhBVA+/PBD5dChQ0p0dLSiKIry7rvvKi4uLsr69euVo0ePKgMGDFACAwOV3Nxc4zl69eqltGnTRomMjFT+/vtvpXHjxsqTTz5prksym7LqMjMzU3nllVeUiIgIJSoqSvnjjz+Utm3bKo0bN1by8vKM55C61Bs/frzi7Oys7NixQ4mPjzc+cnJyjGmef/55xc/PT9m+fbuyf/9+JTg4WAkODjbuLywsVIKCgpSePXsqhw8fVsLDwxUPDw9lxowZ5rgks7lZXZ47d0558803lf379ytRUVHK+vXrlQYNGigPPvig8RxSl3cfCZCEEEKI2/Tnn38qQLHHyJEjFUXRT/U9e/ZsxcvLS7G2tla6d++unD592uQcycnJypNPPqk4ODgoTk5OyujRo5XMzEwzXI15lVWXOTk5Ss+ePRUPDw9Fo9Eo/v7+yrhx40ymTVYUqUuDkuoRUFasWGFMk5ubq7zwwgtKnTp1FDs7O2XQoEFKfHy8yXkuXLig9O7dW7G1tVXc3d2VqVOnKlqttoqvxrxuVpcxMTHKgw8+qLi6uirW1tZKo0aNlGnTpinp6ekm55G6vLuoFEVRqq69SgghhBBCCCGqLxmDJIQQQgghhBBXSYAkhBBCCCGEEFdJgCSEEEIIIYQQV0mAJIQQQgghhBBXSYAkhBBCCCGEEFdJgCSEEEIIIYQQV0mAJIQQQgghhBBXSYAkhBBCCCGEEFdJgCSEEEKIamHHjh2oVCrS0tLKTBcQEMCiRYsqpQxdu3Zl8uTJd3yebdu20bx5c4qKigB44403aN269R2f90b33XcfP//8c4WfV4jaTAIkIYQQQlSZiIgILCws6Nu3703ThoWF4eLiUmz7vn37ePbZZ42vVSoV69atq8BS3rnp06cza9YsLCwsKjWfWbNm8dprr6HT6So1HyFqEwmQhBBCCFFlvv76ayZNmsSuXbuIi4u7rXN4eHhgZ2dXwSWrOH///Tfnz59n8ODBlZ5X7969yczMZMuWLZWelxC1hQRIQgghhKgSWVlZrFmzhvHjx9O3b1/CwsJKTbtjxw5Gjx5Neno6KpUKlUrFG2+8AZh2sQsICABg0KBBqFQq4+tRo0YxcOBAk3NOnjyZrl27Gl9nZ2czYsQIHBwc8PHxYeHChcXKkZ+fzyuvvELdunWxt7enU6dO7Nixo8zr/OGHH+jRowc2Njalpjl//jwNGjRg4sSJKIpibC3buHEjTZs2xc7Ojscee4ycnBxWrlxJQEAAderU4cUXXzR22wOwsLCgT58+/PDDD2WWSQhRfhIgCSGEEKJK/O9//6NZs2Y0bdqU4cOHs3z5chRFKTHt/fffz6JFi3ByciI+Pp74+HheeeWVYun27dsHwIoVK4iPjze+Lo9p06axc+dO1q9fz++//86OHTs4ePCgSZqJEycSERHBDz/8wNGjRxkyZAi9evXi7NmzpZ73r7/+on379qXuP3r0KF26dOGpp57i008/RaVSAZCTk8PixYv54YcfCA8PZ8eOHQwaNIjNmzezefNmvvnmGz7//HN++uknk/N17NiRv/76q9zXLYQom6W5CyCEEEKI2uHrr79m+PDhAPTq1Yv09HR27txp0qpjYGVlhbOzMyqVCm9v71LP6eHhAYCLi0uZ6W6UlZXF119/zbfffkv37t0BWLlyJfXq1TOmiYmJYcWKFcTExODr6wvAK6+8Qnh4OCtWrOCdd94p8dzR0dHG9Dfas2cP/fr14/XXX2fq1Kkm+7RaLUuXLqVhw4YAPPbYY3zzzTckJibi4OBAixYtePjhh/nzzz954oknjMf5+vpy8eJFdDodarV89y3EnZIASQghhBCV7vTp0+zdu5e1a9cCYGlpyRNPPMHXX39dYoBU2c6fP09BQQGdOnUybnN1daVp06bG18eOHaOoqIgmTZqYHJufn4+bm1up587NzS2xe11MTAw9evTg7bffLnGmPDs7O2NwBODl5UVAQAAODg4m25KSkkyOs7W1RafTkZ+fj62tbekXLYQoFwmQhBBCCFHpvv76awoLC01aVhRFwdramk8//RRnZ+cKzU+tVhfrvqfVam/pHFlZWVhYWHDgwIFis9FdH7TcyN3dndTU1GLbPTw88PX15fvvv2fMmDE4OTmZ7NdoNCavVSpVidtunLEuJSUFe3t7CY6EqCDSDiuEEEKISlVYWMiqVatYuHAhhw8fNj6OHDliDBhKYmVlZTIhQWk0Gk2xdB4eHsTHx5tsO3z4sPF5w4YN0Wg0REZGGrelpqZy5swZ4+s2bdpQVFREUlISjRo1MnmU1Z2vTZs2nDx5sth2W1tbNm7ciI2NDaGhoWRmZt702srj+PHjtGnTpkLOJYSQAEkIIYQQlWzjxo2kpqYyduxYgoKCTB6DBw/m66+/LvG4gIAAsrKy2LZtG1euXCEnJ6fUdNu2bSMhIcHYctOtWzf279/PqlWrOHv2LHPnzuX48ePGYxwcHBg7dizTpk1j+/btHD9+nFGjRpmM4WnSpAnDhg1jxIgR/PLLL0RFRbF3717mz5/Ppk2bSr3e0NBQ/v777xL32dvbs2nTJiwtLenduzdZWVk3rb+b+euvv+jZs+cdn0cIoScBkhBCCCEq1ddff01ISEiJ3egGDx7M/v37OXr0aLF9999/P88//zxPPPEEHh4eLFiwoMTzL1y4kK1bt1K/fn1jS0poaCizZ89m+vTpdOjQgczMTEaMGGFy3Pvvv88DDzzAI488QkhICF26dKFdu3YmaVasWMGIESOYOnUqTZs2ZeDAgezbtw8/P79Sr3fYsGGcOHGC06dPl7jfwcGBLVu2oCgKffv2JTs7u9Rz3UxsbCx79uxh9OjRt30OIYQplVLa/JpCCCGEEOK2TJs2jYyMDD7//PNKzefVV18lNTWVL774olLzEaI2kRYkIYQQQogK9vrrr+Pv719sQoWK5unpybx58yo1DyFqG2lBEkIIIYQQQoirpAVJCCGEEEIIIa6SAEkIIYQQQgghrpIASQghhBBCCCGukgBJCCGEEEIIIa6SAEkIIYQQQgghrpIASQghhBBCCCGukgBJCCGEEEIIIa6SAEkIIYQQQgghrpIASQghhBBCCCGu+n+q58uzyrIWqQAAAABJRU5ErkJggg==","text/plain":["<Figure size 800x800 with 8 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# print the energy flux, characteristic energy, and oxygen correction factor\n","print(\"Energy Flux:                %.03f erg/cm2/s\" % (result.energy_flux))\n","print(\"Characteristic Energy:      %.03f eV\" % (result.characteristic_energy))\n","print(\"Oxygen Correction Factor:   %.03f\\n\" % (result.oxygen_correction_factor))\n","\n","# print all height-integrated Rayleighs data\n","print(\"\"\"Height-integrated Rayleighs:\n","  427.8nm:  %.02f R\n","  557.7nm:  %.02f R\n","  630.0nm:  %.02f R\n","  844.6nm:  %.02f R\"\"\" % (result.height_integrated_rayleighs_4278,\n","                          result.height_integrated_rayleighs_5577,\n","                          result.height_integrated_rayleighs_6300,\n","                          result.height_integrated_rayleighs_8446))\n","\n","# plot the emission, plasma, and neutral data\n","#\n","# we'll do this all in one plot, but made up from many subplots\n","alt = result.altitudes\n","fig = plt.figure(figsize=(8,8))\n","\n","# plot all the emissions as a column of subplots\n","#\n","# blueline emission\n","ax1 = fig.add_subplot(4,2,1)\n","ax1.plot(alt, result.emission_4278, label=r\"4278 $\\AA$\", color=\"dodgerblue\")\n","ax1.legend()\n","ax1.set_xlim(80,500)\n","ax1.set_ylim(bottom=0)\n","ax1.grid(axis=\"x\")\n","ax1.tick_params(axis=\"x\", bottom=True, top=True, labeltop=True, labelbottom=False)\n","ax1.xaxis.set_label_position(\"top\")\n","ax1.set_xlabel(\"Altitude (km)\")\n","ax1.xaxis.set_label_position(\"top\")\n","\n","# greenline emission\n","ax2 = fig.add_subplot(4,2,3)\n","ax2.plot(alt, result.emission_5577, label=r\"5577 $\\AA$\", color=\"green\")\n","ax2.legend()\n","ax2.set_xlim(80,500)\n","ax2.set_ylim(bottom=0)\n","ax2.grid(axis=\"x\")\n","ax2.set_ylabel(\"Volume Emission Rate\\n(cm$^{-3} \\cdot $s$^{-1}$)\")\n","ax2.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# redline emission\n","ax3 = fig.add_subplot(4,2,5)\n","ax3.plot(alt, result.emission_6300, label=r\"6300 $\\AA$\", color=\"red\")\n","ax3.legend()\n","ax3.set_xlim(80,500)\n","ax3.set_ylim(bottom=0)\n","ax3.grid(axis=\"x\")\n","ax3.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# near-infrared 8446 A emission\n","ax4 = fig.add_subplot(4,2,7)\n","ax4.plot(alt, result.emission_8446, label=r\"8446 $\\AA$\", color=\"blueviolet\")\n","ax4.legend()\n","ax4.set_xlim(80,500)\n","ax4.set_ylim(bottom=0)\n","ax4.grid(axis=\"x\")\n","ax4.tick_params(axis=\"x\", bottom=True, top=True, labelbottom=False)\n","\n","# plot the plasma data as a second column of subplots\n","#\n","# plasma density\n","ax5 = fig.add_subplot(4,2,2)\n","ax5.plot(alt, result.plasma_electron_density, label=\"Electron\", color=\"green\")\n","ax5.plot(alt, result.plasma_o2plus_density, label=\"O$^{2+}$\", color=\"black\")\n","ax5.plot(alt, result.plasma_noplus_density, label=\"NO$^{+}$\", color=\"blue\")\n","ax5.plot(alt, result.plasma_oplus_density, label=\"O$^{+}$\", color=\"red\")\n","ax5.grid()\n","ax5.set_ylabel(\"Plasma Density\\n(cm$^{-3}$)\")\n","ax5.legend(fontsize=9)\n","ax5.set_xlim(80,700)\n","ax5.set_ylim(bottom=0)\n","ax5.tick_params(axis=\"x\", bottom=True, top=True, labeltop=True, labelbottom=False)\n","ax5.set_xlabel(\"Altitude (km)\")\n","ax5.xaxis.set_label_position(\"top\")\n","ax5.yaxis.set_label_position(\"right\")\n","ax5.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma ionisation rate\n","ax6 = fig.add_subplot(4,2,4)\n","ax6.plot(alt, result.plasma_ionisation_rate, color=\"black\")\n","ax6.grid()\n","ax6.set_ylabel(\"Ionization Rate\\n(cm$^{-3} \\cdot $s$^{-1}$)\")\n","ax6.set_xlim(80,250)\n","ax6.set_ylim(bottom=0)\n","ax6.yaxis.set_label_position(\"right\")\n","ax6.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma temperatures\n","ax7 = fig.add_subplot(4,2,6)\n","ax7.plot(alt, result.plasma_electron_temperature, label=\"Electron Plasma\", color=\"blue\")\n","ax7.plot(alt, result.plasma_ion_temperature, label=\"Ion Plasma\", color=\"red\")\n","ax7.grid()\n","ax7.legend(fontsize=9)\n","ax7.set_ylabel(\"Temperature\\n(K)\")\n","ax7.set_xlim(80,800)\n","ax7.set_ylim(bottom=0)\n","ax7.yaxis.set_label_position(\"right\")\n","ax7.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# plasma conductivities\n","ax8 = fig.add_subplot(4,2,8)\n","ax8.plot(alt, result.plasma_pederson_conductivity, label=\"Pederson Conductivity\", color=\"green\")\n","ax8.plot(alt, result.plasma_hall_conductivity, label=\"Hall Conductivity\", color=\"black\")\n","ax8.grid()\n","ax8.legend(fontsize=9)\n","ax8.set_ylabel(\"Conductivity\\n(S/m)\")\n","ax8.set_xlim(80,250)\n","ax8.set_ylim(bottom=0)\n","ax8.set_xlabel(\"Altitude (km)\")\n","ax8.yaxis.set_label_position(\"right\")\n","ax8.tick_params(axis=\"y\", left=False, right=True, labelleft=False, labelright=True)\n","\n","# render the plot\n","plt.show()"]},{"cell_type":"code","execution_count":null,"id":"a0ae9248-fd8a-4422-ab7a-4dafcc687097","metadata":{"id":"a0ae9248-fd8a-4422-ab7a-4dafcc687097"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3 (ipykernel)","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":"3.9.19"}},"nbformat":4,"nbformat_minor":5}