diff --git a/causal_curve/core.py b/causal_curve/core.py index 8838de1..a2b332c 100644 --- a/causal_curve/core.py +++ b/causal_curve/core.py @@ -10,7 +10,7 @@ class Core: """Base class for causal_curve module""" def __init__(self): - __version__ = "1.0.1" + __version__ = "1.0.2" def get_params(self): """Returns a dict of all of the object's user-facing parameters diff --git a/causal_curve/gps_classifier.py b/causal_curve/gps_classifier.py index 200e0c5..9820e24 100644 --- a/causal_curve/gps_classifier.py +++ b/causal_curve/gps_classifier.py @@ -1,6 +1,7 @@ """ Defines the Generalized Prospensity Score (GPS) classifier model class """ +from pprint import pprint import numpy as np from scipy.special import logit @@ -12,6 +13,15 @@ class GPS_Classifier(GPS_Core): """ A GPS tool that handles binary outcomes. Inherits the GPS_core base class. See that base class code its docstring for more details. + + + Methods + ---------- + + estimate_log_odds: (self, T) + Calculates the predicted log odds of the highest integer class. Can + only be used when the outcome is binary. + """ def __init__( @@ -27,19 +37,25 @@ def __init__( random_seed=None, verbose=False, ): - GPS_Core.__init__( - self, - gps_family=None, - treatment_grid_num=100, - lower_grid_constraint=0.01, - upper_grid_constraint=0.99, - spline_order=3, - n_splines=30, - lambda_=0.5, - max_iter=100, - random_seed=None, - verbose=False, - ) + + self.gps_family = gps_family + self.treatment_grid_num = treatment_grid_num + self.lower_grid_constraint = lower_grid_constraint + self.upper_grid_constraint = upper_grid_constraint + self.spline_order = spline_order + self.n_splines = n_splines + self.lambda_ = lambda_ + self.max_iter = max_iter + self.random_seed = random_seed + self.verbose = verbose + + # Validate the params + self._validate_init_params() + self.rand_seed_wrapper() + + self.if_verbose_print("Using the following params for GPS model:") + if self.verbose: + pprint(self.get_params(), indent=4) def _cdrc_predictions_binary(self, ci): """Returns the predictions of CDRC for each value of the treatment grid. Essentially, diff --git a/causal_curve/gps_core.py b/causal_curve/gps_core.py index ab7b36a..0e895bc 100644 --- a/causal_curve/gps_core.py +++ b/causal_curve/gps_core.py @@ -4,7 +4,6 @@ import contextlib import io -from pprint import pprint import numpy as np import pandas as pd @@ -121,31 +120,28 @@ class GPS_Core(Core): calculate_CDRC: (self, ci) Calculates the CDRC (and confidence interval) from trained model. - predict: (self, T) - Calculates point estimate within the CDRC given treatment values. - Can only be used when outcome is continuous. - - predict_interval: (self, T, ci) - Calculates the prediction confidence interval associated with a point estimate - within the CDRC given treatment values. Can only be used when outcome is continuous. - - predict_log_odds: (self, T) - Calculates the predicted log odds of the highest integer class. Can - only be used when the outcome is binary. - print_gam_summary: (self) Prints pyGAM text summary of GAM predicting outcome from the treatment and the GPS. Examples -------- - >>> from causal_curve import GPS - >>> gps = GPS(treatment_grid_num = 200, random_seed = 512) + + >>> # With continuous outcome + >>> from causal_curve import GPS_Regressor + >>> gps = GPS_Regressor(treatment_grid_num = 200, random_seed = 512) >>> gps.fit(T = df['Treatment'], X = df[['X_1', 'X_2']], y = df['Outcome']) >>> gps_results = gps.calculate_CDRC(0.95) - >>> treatment_points = np.array([10,15,20,25]) - >>> preds = gps.predict(treatment_points) - >>> conf_ints = gps.predict_interval(treatment_points, 0.95) + >>> point_estimate = gps.point_estimate(np.array([5.0])) + >>> point_estimate_interval = gps.point_estimate_interval(np.array([5.0]), 0.95) + + + >>> # With binary outcome + >>> from causal_curve import GPS_Classifier + >>> gps = GPS_Classifier() + >>> gps.fit(T = df['Treatment'], X = df[['X_1', 'X_2']], y = df['Binary_Outcome']) + >>> gps_results = gps.calculate_CDRC(0.95) + >>> log_odds = gps.estimate_log_odds(np.array([5.0])) References @@ -188,14 +184,6 @@ def __init__( self.random_seed = random_seed self.verbose = verbose - # Validate the params - self._validate_init_params() - self.rand_seed_wrapper() - - self.if_verbose_print("Using the following params for GPS model:") - if self.verbose: - pprint(self.get_params(), indent=4) - def _validate_init_params(self): """ Checks that the params used when instantiating GPS model are formatted correctly diff --git a/causal_curve/gps_regressor.py b/causal_curve/gps_regressor.py index adc32df..90a1e8a 100644 --- a/causal_curve/gps_regressor.py +++ b/causal_curve/gps_regressor.py @@ -1,6 +1,7 @@ """ Defines the Generalized Prospensity Score (GPS) regressor model class """ +from pprint import pprint import numpy as np @@ -11,6 +12,18 @@ class GPS_Regressor(GPS_Core): """ A GPS tool that handles continuous outcomes. Inherits the GPS_core base class. See that base class code its docstring for more details. + + Methods + ---------- + + point_estimate: (self, T) + Calculates point estimate within the CDRC given treatment values. + Can only be used when outcome is continuous. + + point_estimate_interval: (self, T, ci) + Calculates the prediction confidence interval associated with a point estimate + within the CDRC given treatment values. Can only be used when outcome is continuous. + """ def __init__( @@ -26,19 +39,25 @@ def __init__( random_seed=None, verbose=False, ): - GPS_Core.__init__( - self, - gps_family=None, - treatment_grid_num=100, - lower_grid_constraint=0.01, - upper_grid_constraint=0.99, - spline_order=3, - n_splines=30, - lambda_=0.5, - max_iter=100, - random_seed=None, - verbose=False, - ) + + self.gps_family = gps_family + self.treatment_grid_num = treatment_grid_num + self.lower_grid_constraint = lower_grid_constraint + self.upper_grid_constraint = upper_grid_constraint + self.spline_order = spline_order + self.n_splines = n_splines + self.lambda_ = lambda_ + self.max_iter = max_iter + self.random_seed = random_seed + self.verbose = verbose + + # Validate the params + self._validate_init_params() + self.rand_seed_wrapper() + + self.if_verbose_print("Using the following params for GPS model:") + if self.verbose: + pprint(self.get_params(), indent=4) def _cdrc_predictions_continuous(self, ci): """Returns the predictions of CDRC for each value of the treatment grid. Essentially, diff --git a/causal_curve/tmle_core.py b/causal_curve/tmle_core.py index 6c7cd8b..fa31970 100644 --- a/causal_curve/tmle_core.py +++ b/causal_curve/tmle_core.py @@ -1,8 +1,6 @@ """ Defines the Targetted Maximum likelihood Estimation (TMLE) model class """ -from pprint import pprint - import numpy as np import pandas as pd from pandas.api.types import is_float_dtype, is_numeric_dtype @@ -85,6 +83,14 @@ class TMLE_Core(Core): Attributes ---------- + grid_values: array of shape (treatment_grid_num, ) + The gridded values of the treatment variable. Equally spaced. + + final_gam: `pygam.LinearGAM` class + trained final model of `LinearGAM` class, from pyGAM library + + pseudo_out: array of shape (observations, ) + Adjusted, pseudo-outcome observations Methods @@ -99,6 +105,13 @@ class TMLE_Core(Core): Examples -------- + >>> # With continuous outcome + >>> from causal_curve import TMLE_Regressor + >>> tmle = TMLE_Regressor() + >>> tmle.fit(T = df['Treatment'], X = df[['X_1', 'X_2']], y = df['Outcome']) + >>> tmle_results = tmle.calculate_CDRC(0.95) + >>> point_estimate = tmle.point_estimate(np.array([5.0])) + >>> point_estimate_interval = tmle.point_estimate_interval(np.array([5.0]), 0.95) References @@ -138,14 +151,6 @@ def __init__( self.random_seed = random_seed self.verbose = verbose - # Validate the params - self._validate_init_params() - self.rand_seed_wrapper() - - self.if_verbose_print("Using the following params for TMLE model:") - if self.verbose: - pprint(self.get_params(), indent=4) - def _validate_init_params(self): """ Checks that the params used when instantiating TMLE model are formatted correctly diff --git a/causal_curve/tmle_regressor.py b/causal_curve/tmle_regressor.py index 9f08b15..4077c6e 100644 --- a/causal_curve/tmle_regressor.py +++ b/causal_curve/tmle_regressor.py @@ -1,6 +1,7 @@ """ Defines the Targetted Maximum likelihood Estimation (TMLE) regressor model class """ +from pprint import pprint import numpy as np @@ -11,8 +12,46 @@ class TMLE_Regressor(TMLE_Core): """ A TMLE tool that handles continuous outcomes. Inherits the TMLE_core base class. See that base class code its docstring for more details. + + Methods + ---------- + + point_estimate: (self, T) + Calculates point estimate within the CDRC given treatment values. + Can only be used when outcome is continuous. """ + def __init__( + self, + treatment_grid_num=100, + lower_grid_constraint=0.01, + upper_grid_constraint=0.99, + n_estimators=200, + learning_rate=0.01, + max_depth=3, + bandwidth=0.5, + random_seed=None, + verbose=False, + ): + + self.treatment_grid_num = treatment_grid_num + self.lower_grid_constraint = lower_grid_constraint + self.upper_grid_constraint = upper_grid_constraint + self.n_estimators = n_estimators + self.learning_rate = learning_rate + self.max_depth = max_depth + self.bandwidth = bandwidth + self.random_seed = random_seed + self.verbose = verbose + + # Validate the params + self._validate_init_params() + self.rand_seed_wrapper() + + self.if_verbose_print("Using the following params for TMLE model:") + if self.verbose: + pprint(self.get_params(), indent=4) + def _cdrc_predictions_continuous(self, ci): """Returns the predictions of CDRC for each value of the treatment grid. Essentially, we're making predictions using the original treatment against the pseudo-outcome. diff --git a/docs/changelog.rst b/docs/changelog.rst index ce9264c..6d68649 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -5,6 +5,13 @@ Change Log ========== +Version 1.0.2 +------------- +- Updated end-to-end example notebook in `/examples` folder +- Fixed various class docstrings if they still reference old v0.5.2 API +- Fixed bug where custom class input parameters weren't being used + + Version 1.0.1 ------------- - Added to TMLE overview in the docs (including plot) diff --git a/docs/conf.py b/docs/conf.py index 5d068a7..e54ed56 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -23,7 +23,7 @@ author = "Roni Kobrosly" # The full version, including alpha/beta/rc tags -release = "1.0.1" +release = "1.0.2" # -- General configuration --------------------------------------------------- diff --git a/examples/NHANES_BLL_example.ipynb b/examples/NHANES_BLL_example.ipynb index 349d58a..c99b5d7 100644 --- a/examples/NHANES_BLL_example.ipynb +++ b/examples/NHANES_BLL_example.ipynb @@ -4,17 +4,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Full `causal-curve` tutorial: analyzing the causal impact of reducing blood lead levels in children on achievement and cognitive scores\n", + "# End-to-end `causal-curve` demonstration: analyzing the causal impact of reducing blood lead levels in children on achievement and cognitive scores\n", "All NHANES III data obtained here: https://wwwn.cdc.gov/nchs/nhanes/nhanes3/datafiles.aspx#core" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# *JANUARY 2021 NOTE* : This notebook was made using causal-curve's version 0.5.x API. Version 1.0.0 was released in Jan 2021 and this notebook will require slight tweaks to run" - ] - }, { "cell_type": "code", "execution_count": 1, @@ -22,15 +15,17 @@ "outputs": [], "source": [ "from os.path import expanduser\n", + "import warnings; warnings.filterwarnings(\"ignore\")\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "from scipy.interpolate import interp1d\n", "\n", - "from causal_curve import GPS\n", + "from causal_curve import GPS_Regressor\n", "from causal_curve import Mediation\n", "\n", + "\n", "%matplotlib inline\n", "pd.options.mode.chained_assignment = None\n", "plt.rcParams['figure.dpi'] = 200\n", @@ -393,7 +388,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -427,7 +422,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -492,7 +487,7 @@ "\n", "\n", "# Try the MATH model\n", - "math_gps = GPS(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines=10, verbose=False)\n", + "math_gps = GPS_Regressor(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines = 5, verbose=False)\n", "math_gps.fit(\n", " T=final_df['BLL'], \n", " X=final_df[potential_confounders], \n", @@ -503,7 +498,7 @@ "\n", "\n", "# Try the READING model\n", - "reading_gps = GPS(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines=10, verbose=False)\n", + "reading_gps = GPS_Regressor(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines = 5, verbose=False)\n", "\n", "reading_gps.fit(\n", " T=final_df['BLL'], \n", @@ -516,7 +511,7 @@ "\n", "\n", "# Try the Block model\n", - "block_gps = GPS(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines=10, verbose=False)\n", + "block_gps = GPS_Regressor(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines = 5, verbose=False)\n", "\n", "block_gps.fit(\n", " T=final_df['BLL'], \n", @@ -529,7 +524,7 @@ "\n", "\n", "# Try the Digit model\n", - "digit_gps = GPS(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines=10, verbose=False)\n", + "digit_gps = GPS_Regressor(gps_family='normal', lower_grid_constraint = 0.0, upper_grid_constraint = 0.99, n_splines = 5, verbose=False)\n", "\n", "digit_gps.fit(\n", " T=final_df['BLL'], \n", @@ -554,7 +549,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABJsAAAPACAYAAACSGXinAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd5xcV3n/8e+zVb1LVrVkG9sYTDEtYJqpCRAMCSUJhGAgCQkhgSSQQvIDU1IgpFBDqKaFmA4ONRTTsQHbYBvcJUuyJKu3lbRa7T6/P557uHfuzsy2OztbPu/X675m5s6dmTOzszN3vvec55i7CwAAAAAAAKhCR7sbAAAAAAAAgJmDsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgCYQczsKWb2FTPba2aDZuZmdrDd7QJmAzO7Mvufu7LdbcHkMLMXZn/z683MJvFxL8ke181s0wTva0t2P5dV0zrMRBauz94rL2h3ewBMfYRNAGqY2abCDuy4l3Y/j4kq7HyXl4EsyPmumV1qZmvb3dbEzF4i6X8lPVHScvEZj1Eysw4zu9jM/iv7MbE7e6/vzy6/38yebmbd7W7rbGNmjzGz/zCza8xsl5mdNLODZnaTmX3UzH7XzOa1u52zkZktkPSP2cXXufu0/+6bDGbWaWbPNbMvFN7Td2dh7YvNrGuE249lP+WyJvfTbWZ/m/0v9Wdt+PBowjsz++Ps/r899ldgZGZ2upn9lZn9X7Y/0mdmx83sruyA0t+b2RkNbntR4flfWlWbsvf3P2QX/8HM5ld13wBmJn6IAJgRJrFHQZciyHm4pNdI+oWZ/UaLH3NE2Y/N9KPnJknPlHSBpPtIeli72oWpz8weLek6SZ+T9IeSzpe0UvFeX5pdfoGkz0jaYmaXtKWhs4yZ3dfMviPpG5Jepvh/Pk1St6TFks6V9BxJH5a03cz+0szYr5tcf6b4m/xc0ifb3JYaZnZZ9p24pd1tKTKzNZK+K+kjkp6s/D29StKjJb1L0g+z7VrZDpP0KcX35rmSerI2/K6kq83sHk1uu1IRupyS9CcVt2uOmf27pFskvVHS4yVtlDRP0hxJaxUHlF4v6XYzu9zMNlTZhhF8XNLNktao4ucOYOZpeuQAwKx0lyKgaOT67PTHih+gM90OSb9auNwtaZPiuT9V0iJJ/2NmD3X3aye/eb/0IMUPUEl6hbt/oY1twTSRDYX4L8X7WpJ+KOnTivBpn+I9dZbiR+FTFD90/kPSZZPb0tnFzJ6k+FG3IFt1o6TLJf1I0h5J8xU/QH9N0sWKUPDNkt4n6eAkN3dWMrO5kv4iu/jvk92ryd0v0zT7P8xesy9Kun+26muKcGmz4iDOMyX9vqQHSvpfM3u4u58Y4W7/XhGUN3KgwfrfVXyHu+J/53OSzpD0L5JWS/pPSU9ocNs3Kv7n/sPdr2+wzZiZ2QpJV0h6aLbqiKT/VgTO2yUNZG17uKTflHS2pGdL+oHic7nl3H0oC8PeJekVZvbWUfyNAMxShE0Aarj7gKQbGl1veUmKPndvuN0MMlDneV4r6TNm9q+KHxs9ih3eZ0x24wrWFc7f0rZWYNows8dJeq+il3OfpEvcvV7vjG9Kem82tOSfFQEHWsTM7q3oJTNP0XPi5ZL+092H6mz+4ayXxWtEL4PJ9ruKgKRfU6xX0xT2J8qDpg9IelEppPs/M/uhpPdLeoCklyqCoGbuGue+yCXZ6Xvc/a+y898zs9slfV/S481svbtvL97IzB6W3XaX4v+uElmvxI8rD5r+V/H67K6z+RVm9ipJz9XIr08rfELS2xQ9YH9b0yz0BDB56G4NAOP3GknHs/NPbPMQlt7C+YG2tQLTQjbs8iOK/YAhSU9pEDT9krtvcfffVgwdQgtkQ3s+qgiaJOkF7v6OBkGTJMnd97j7SxW9Qvjfnzwvyk6/4O4H29mQaeSS7LRP0p/X6w3m7h+Q9L3s4ivNrLNFbbl/dvqx0uP/QNKdpW0kRa0pSe+QZJJe6e6HK2zPyyQ9Jjv/FUm/0SBoSu0ccvcPK3qB/azCdozI3fdL+nJ28UXNtgUwuxE2AaicmT3AzN5lZjeb2dGssOXNZvafZnbOCLddYmZ/Z2Y/MLMDWZHiPWb2czP7TFaU87TC9pdZFCR/dLbq0XUKhG5pxfN096OKWh1SDHdZVuf5jOu1sNJMQ2bWa2YvN7MfWhQod4sC5Vdmz/8DhZtvLj3/i+rc/yOyQqhbzOyERcHha83sDVlPiUbtKhYevciisPQLzeybFsVVhywryFpnWzOzF1kUV99nZofN7Goze17pMXrM7I+y57rfzI6Y2ffM7NmN/xqSmS01sxeY2Uey98tRi8KzuywKqv6hmfU0uX2x6Owl2bonmNkV2X30m9nm7G+3vllbCvf5cDN7b/Y3P5y1Z7uZ/a+Z/YmZLWly23uY2b9bFOg+ZFEc9o7sPf+g0Tx+Ey9UDMeQpHe4+7dGe0N3/1Cdts43s9/Knut1WXvT/+63zOwVFsWU66r32jfZtunMWTbGz5DC7XrM7Klm9nYz+1HhtvvM7Krs/23FyK/QhDxF0v2y81e4+0dGe0N3/5S79xXX2SiLBFuTmnej/Z83s0cVtvuDkdprUZg5bX+vBttM2nfJWJjZRkm/kl38VINtXmH5pBLD3vsWtXlOFF6D+ze4n5uy6/+ntL7ubHTZ+9QlPT9btdFqvw9GnMTDzM41s/dk/2upcPZnzOyhzW43wn3OlXTv7OIP3P1Qk81TkLFK0iPH+5gjSMPOd9a5bldpm+SPFbXTvjOW/82RWHwvvSK7eELSC9391Ghu6+7b3f0b43jMOWb2Z9n//h7LJ4S42cy+ZGZ/Yc0Lpaf3/cNtcmtGAZhO3J2FhYVl1IuivoFLurLOdR2S/k3RU8IbLAOS/rDBfZ+nqBnV6LZpeWnhNpeNYvst43ieW0ZzW0WthPQ4p1X4WlxS2O5BiqF75dtfKunKUTz/i0rtevsI2x+U9IQG7bqosN2vSfq/Ore/rM62T5D0+SaP+ZbsNkslfavJdq8axd+s2XKNpNUNbr+psN0lkv6pyf3slnRek7bMVdTaGKk9lza4/SsknWxyuyHF7Ffj/T/+SeF+zqrgc2E078M7JN1zNK/9KP83L6viM2SMnyV7JT18FK/DsM/HUb6Onyo81mMr+Ls0fZ+Npt0a5f+8orfHndnlb46ibddn215b57pJ/y4Z4+v6/MJ9nNlgmwcXX7c61z+61JaX19nmtML1f1S67pLCdZsK6y8dxfP2Rv9Tkn5D0fOo3u1OSfqtcb5m6wr385ERtv2DwravrnP9psL1TT8vmjzGvuz2j65zXXo9fr2wbpWi/tMpSfeZ6P9m6fGeWng+H6rg/i4q3N+w/31Fce8bR/E+eXOTxzi3sN0fVPl6sLCwzJyFmk0AqvQ2SS/Jzn9bseN6h6RjiqP1L1cc2fwvM9vl7p8v3f7DigLEA5LeI+lLiiOMHZLWK2oZlGd++ztFzYIPKEKZeoXLT07sadVnMT3zPQuPsa9w9URfi6L3KYq2f0hRJHiXpNMVtUI+qCgW/DRJb8i2/1VFYfNkc+H8Pyuv7bJZUej0muw+LlbUyFisKM76EHf/aZN2vVHSfRUh0mWKH5qnKYqml71e0RPgo4oQZpekcxQ/jM6V9GdmdoWkP5V0oaI462cUr+n9s9uvlfQ6M/ucu99Y5zE6JV2lqHVxraS7FfW0zlDUV/k1xVHp/1HsjDfzB1k7vqUooH2LpCWSfi9bVirqigyb6c9iOOXnlBeXvVXSOxXvzWOKHf0LFYVdhzGzV0p6U3bxZ9lrcasiBDxX8Td6mKT/Z2Z73f2tIzyX8v0vUj485GZ3v30st2+gSxEefF7xPHcowoeNiv/ZZyv+Dp81s/t76wrKjuczpPgc7lC8766WtFXxw3KjYkaoFypq9HzGzM73JkNcJiD14uhTvPemmob/8+7uZvYxSX8t6VFmts7d76p3J2Z2X8Ush1J8JpS147tkLNLfaZ+739Fgm2sUBZ4XKj5vvly6/qI6l/+jyTajfT+8U1FD6g2K74XyJBfN3EfSbyl6+/yr4n/Zstv/jWI2tHeb2Tfcfc8o7zM5Wji/eIRti9fX7fVW8Kdm9veKv2u/opD2dyS9292vaXK7nyqGrT1Lhdc26721sbBN8ibFd8BbvMKi4JlHF85PxuQeb1P+un5EMSnEDkmDiu+nByneO83covhOWqJo/3ta0E4A01270y4WFpbptSg/knVlaf0TCte9qMFt50j6erbNFkldhevOLNy+4dFmxY7v0jrrr6zXrgk8zy2pnU22+ZNCm79e1WuRXX+Jao8w1r2fBttvarDNfRQ7k64IBpbU2ebXCttcVef6i0rten2TNpW3fVmdbVZLOpxdv1vRk+Hpdba7b6Fdb2nweGeP8Bq9oNCWx9W5flOpve+WZHW2e09hmwvqXP9nhes/Lam3QXs6JK0rrbuX8h5NlzZ4/A7Fj2lX/Jgd9v8wwuvw8EL7mvYwGMN9jvTaP77w9xv2XlYFPZs08c+Qs+q93qX/nyPN3veawOeQant+fLeiv0vD3g2jbfcY/+fvU9juFU22++dsm8E6/wNt/S4Z5ev68+z+vzbCdl/Mtvthneu+kV2Xenzul9RR2uad2XW76tz+ksLz3FTn+svS6zOK57OlcF8/VoSH5W2eW9jmz8f5uu3Ibr9HUk+T7Yq9YL9f5/pNpfdko+Vdavz5m74PBiX9o+IAwHOU94grfqc/XPHdtLPeazPRRbW9Be9Rwf0V/2cvrfO/k75jGvZcyrZdNsL16T38i6pfExYWlpmxULMJQFX+Jjv9lLu/r94GHr0ZXppd3Ki8GKaU14+R4kh2XR4OTKShE2FmXRa1dP5B0lsKV/1L4fxEX4uybzS6nzH6Y+W1+n7f6xS1dfcvK3rsSNJDzOzBTe7vFkUgMhpXuftbyivdfZeiJ4kUvYU+7u6frbPdzyR9N7tYt4aHu9/arAEehWevyy4+fYT27pT0p+7uda4rzv5T05asV9Mrs4vbJf2eu/c3aM+QD+/58ZeSuhU/+F5b7/E9ikX/qeIo/gJFYeixWF44X0nvnFG89l9T/ICURn7tx2tCnyHufnuDv3e6/nrF7H1Sa55D5X+XFmj6P5+9RqnXx3PrbWNmJul3sovfqvM/MB2+S1LNtpH+Tldmpw8s1m0ys17ls469UTHRxFJFqF50UXba8Hm0wAu9fuHr/1beY3a8dZTSZ8AKxWfdMGb2CEXtsmRhg/s6qOjR/HxFUPSA7HZvUd6L6sXKv8/KPqgoxN0h6W8VRck/qugRt0/xfVkuCv5XDV6biZrM//1liu8YaYT3lUch8GZSW8/I/q8BoAZhE4AJy4blXJRdHGlGq18o6p5ItUOQikU6L6mqbRWoKa6qGJZxq6RXKYZtuaS/z0Kaql6LsnrDTMbj8dnpje5+VZPtit3hH99wK+lydx8c5WP/T5PrikMVRrPdmSM9mIXVZnaOmZ2fFsVRaykvwtzIJ5uERDcr/zFTbsv9lf8QfY9HEfmxeGp2+qkRgo+Dyn/UN3vv1FP88dbXcKsJMLOVZnZ26bVPw25Geu3Hq9LPEIuC82eZ2b0Lz+FgdvW9zKy7yc3Ho+V/lwqM5n8+fV7d38zOq3P9IxTDgIvbSpoe3yVZUJT+ViOFVWl4VpfieScPUdR1OyTph9kiFYbNmdkqRe0pKQ+tWu36LNgfJvs8uja7OOJncANvVPQOlKR/sJgA4Wwz684+r/9E0RusWBx7bp372aHoEfdCd/+Qu//A3a919y+6+8sVwdPWbNvnmNnFdZ7PkGKo2KsV3+knFZ9R/y3pIe5+S7bpnyg+s77jMftbmkzg77Ni2v1mttPM3j3egvOa3P/9fcpLCzwvKwcwXimM6lUMpwOAGoRNAKpwgfLPk4/Vm/mmFNikGZ1+eQTa3Tcr6ixI0p+b2Y1m9joze6zFNO1TzWFJn1UUF/2HwvoJvxZ1THha4+wH0tnZxWZBkxQ/KNIU6uc32W4s7bqlyXUHx7hdoyPdMrOnmNn/Kn7E7ZR0syKUSUs6Yj7SrGI3jXB9+pFZbssFhfPf0RhYzHCVZgL8p1G8d9KMdM3eO/UcKZyfP8bbNmQx897lZrZPccT7FtW+9mmGspbM6FbFZ4iZ3cfM3m9mOxU/pG6TdIPy53BptmmHoidKlVryd6nYaP7nP6YI4aX6vZuek532a/hMbtPhu6Q46+hIYdNPlAfTFxXWp/PfzcK7K+ts8+jC+cmq3zXS514KFxp+BjeT/W1+S/GamKL21i2K8GOnYvKKecp7rUm1/xfpfk66+7Emj3Orok5f8qcNtut399e7+znu3uvuq9z9uZ7V4crCo9cphtq9NFtniu/+1yuG3t6hqFP4B5J+YE1mc21i0v73s4Mol2cXnynpNjN7k5k92ZrMjtpA8f0/VT+zALQRYROAKqwa5+3KO/6/o5jdTYraNf9PUZfjoJl928z+yMzmjPOxxmuHog5JWs5TdLNf4u6/4e7lQKGq16KoimGDxR/GTbvpu/uA8mLny5psOpZ2NfxhoKiFMZbthn13ZT2Z3qsoDv4UjfxjqN7R8qJm7Si2pbO0vhik1JtSu5lWvHfqKRayH++R+BpmdqlimOOz1fw9I4382k/EuD9DzOxFiqLOL9DoAryqn0flf5cWGPF/3t23Kg97nlO8LusN9qzs4hfqDOWdDt8lxeL2Td8DHtPXfy+7eFHhqhQkXVk6fZTFUNziNnu8/oQIrTDez71Rc/cvKXoefUi1Bxpc0jcVQ/SKBd/H9f2XfTf/PLv4iMLrOhZvVhQrf3uhx9fvSXqSYgKK+7r7eYrPi+8qJkH4p3E8zmT/779U0hXZ+Y2Kod9fkLTPzH5kZq80s8WjuJ/i+3+g4VYAZi1mowNQheKO54slfX+Ut6vZicxqd1xoZo+T9JuKne17KeoLPDJbXmFmTy50cW+1AXe/YQzbV/JalIx2qNpoNRyeNUZVt2siXijpRdn56xSzOl2lGDZ3LA39MbMPSXqe4qj6VFN877xO0idGebuxDru4XvGjsUPxo29Csv/X12QX71D8QPuuYhhLX/aDW2b2OsWP/pYZ72eImd1TUUy4SxHG/oui+O0WSUeyAFZm9kLF7JBSxe8hd7/LzPYqAsv7mVnnGIapTpbRtuejkh6lqOXyMHdPwc+vKq9PU2948HT4LjmoGObVpZGDVSmCpF9VXrepX/mwvyuz06sUIVaq23Sd8rBpMus1TYqs59HzswBojSIs3OHufdIv6zYlEwnafq74u89RvO9GPYOemT1S0TvqbuWfb1KETZL0Jnf/uSS5+xEze7mi1t5zzOwl7j6WWXB/qnzI+gMUw/paJqs7dbGZPURxgOAixRDwTkWP2Qcp/j+eXvjfraf4/j/UmtYCmM4ImwBUoXhU7tgYw5lh3P3riqPQMrPlip2wP5T0WEW39ctVO1xpKqn0tahQ8cdY0yOnWQ2H9INwpAKhU0UaonWbpAvd/XiD7Ubz43Ai9hbOr9HIw1KKiu+dsYaco+buh83sOsWPmnPN7B7uftsE7jK99gckPdQbT4ne7LUv9m4bqQfCiMM1xvEZcolin2hQMTS20d+t1e+fbyvCkfmKsOEbE7w/V4RiE35Nx+gTiunVexRD6dIP1tTT6ZDqT/E+5b9L3N2zUHC1RjeUsly36YgiXDmkrAaSu/eb2Q8VP/ovMrPtku6d3e7KsbRvOsnqJpULxEvSAwvnr57IQ4znRtl34Duyi69092KQcv/s9HvF27j7T8zshKK3zzmK4bej9S3lBdOfonyYW0u5+9XKXl8zW6h4/12i+AxaJelTZnZWk+/T9P7fnRXtB4AaDKMDUIXrlO/UPbzKO3b3fe5+ubs/TnnX+vub2dnlTat83Am4Ti16LSYiq9OQjpb+ygibX6B8tpqpEpaNJP0w+3yjHeOs1saEe/KM4JrC+UeN8bZ3KD863Or3zgeyU5P0ZxO8r/Taf7NJ0CTlNabqKdYsafgD3syWqXbmphGN8jMkPYefNgmapObPoQofKJx/eQX3l17XZq+pSbpHBY/1S9ksb1/KLj7bYhbP+YqCzFLjAvzXqf3fJaORivOfM4ptf6S89+FFynsspXpNyZWFbR6lvOfceOs1TZXvxPFIQy2PKx/uNR73yk77VRtkjuRPFcPmv5uKghek4WX1evIcKm0zWl9RPtPfs8xs3RhvP2HufsTdr3D3Z0h6a7Z6jWoL25el9/9kDfMEMM0QNgGYsOwHZppN5znjLJA5Gl8vnC8XGU5H1Xpb9NijMomvxXh8LTu9d9Z9vpHfr3ObqS711G3WQ+Npip3nVvqppG3Z+d+3wnTnI8l+eH4xu/hEqz+TV1XeL2lXdv5PzOzRzTYuMrPnlVaN+Nqb2QVqEnJm4cTB7GKzQOe3NbHha40+Q0bzHNZIGjarVcW+oHzWxaea2e8227jIzH4zC3SKNmenzV7TJ6k1M0mlYXIrJT1B0tOV11aqO8PmFPkuGY1Uk+rcrEdIQ9kw0jQc8CLltZuuLG2aLj9K0fNKioBkvIH/lPhOHCsze6LyoPGjdep6jfZ+Hq48RP5u1otqNLdbo5gIYFAxE11ZCpTWF1daTMKR3q+Hx9LWbMjdm7OLcyS9z8xGVRfLzNaZ2WNH3nJMRvz/sJg58tzs4kiTjgCYpQibAFTlDdnpIkmfbDariZn1mtmfFAu0mtn9zez+TW5jymsauKKWSlEqxnxmtm07Tei1aKH/VD5c6d3ZzmK5PU9UXvvoanf/0SS0qwqp19ZTs94vNczsLOXDIlom+0HzL9nF9ZI+ZGY99bY1sw4zW1ta/U+KHzkdivfO+uG3/OXtO83suc22adLOY4p6JKl20xfM7BnNbmNmp5vZxxTDo4rSa/8IMxvWQyYLDMq9A+pJtWmelv29yvdzrmIGqEbtm8hnSHoOZ5vZhXVuO08xJXori5un6eWfq7xQ8wfM7CXNihub2Qoze6ukTyrvkZikXjG/kv34Lt92tYb/PatyhfIf3c9VPoTuLjXvrdPu75LRSGFTh0bX2+3K7PSByoOUK0vbXKXogbNU+Uxq387eE+ORvhNXjRSITaZmvXbM7D6SPpJd3CfpVQ22e3qz7/nsc+i/C6veOYYmvlnx3ntHoSh4UQqDyzMt/rbi/XBCMQvqWL1FUSBdihpfn2kWtlp4jmLGw/uO9kHM7MxRHFx4YuH85gbbPEh58P/V0T4+gNmFmk0AKuHuXzSzt0h6meLI7C/M7F2KQsH7FD0G7qEozPqbih3qDxbu4v6KH1Y/UvxIuUbR86JbMcPLCxRHx6UYKlWe6ev72TarJP2bmX1E+RHIAXe/s7pn21wFr0Wr2nW9mf2rYuaZ+0m6xszeqKgbMl/SUxVDqjoVU1G/uNVtqtCHFCHPWsX0029U9AiYo+gl8HLFEf5r1PqhdO9QvJZPkPQbkq43s3cqisceU9R6eahixqz/VhxFl/TLv9ErJP27YgjIDWb2bkXtnruz57NJUWD4mYqeWveRtH2sjXT3r5vZ70v6L8Xf/5NZ3ZhPKoYz7VcMBzlT0q8pevX0avjwkQ9lz3e+pG+Z2T8rfgBJ0oWS/iJ7zj9QXhi5nndmjzFX0pUWM9xdK2mBpMcp/p/2KMK4ej/C7q/xf4Z8WDF0JgVv/6L4fz2hCAj+XNLZijotLR3i6O43mtkzJX1c8dzfIemPzexyxZCsPYrX+nTFj8KnK34c1/NuSS9R7O9dYVGk/buKWkoPV/xtuhVh23iGkzV7HifM7NOKGjBPzx5Tkj7WrJfJFPguGY3vK/4OKxXvzW8237ymblOXCvWakuz1+qFimF0ahnXlONpWbKMU7+l3mdnbVKgpN8E6bRPxJTPbLelzis+Zo4rP7ScrDnT0Kv7vfqfJsNzPSLote39drfj861d8Hv5qdj+pV+nH3f3To2lYFsI8R/FZ++oGm31Q0mMkXWJme7Lncb7ynkn/M8bi4JLiQIWZPVsxo+qvKD5Tbzezjyo+/7crZnxL3x/PkHTPsT6O4nPjm2b2c8Xr+GPldbM2SPotRdFwKf4+jXotPS473av43wSA4dydhYWFZdSL4kiwS7qyznWm2EEbKGzXaDkqaW7htpeM4jau+LG3vM5jL5B0e4PbbBnH89wy3ttO9LWo83psGsXjjWp7xQ+Pd4zQnoOSntjg9hcVtrtohDaNatsxtP3StF2d67oVdS8aPadjijoglzX6uypCnLT9JaN8f1zW4Pp5iiLJI/3tL21w+z9Q1HkZ6fb9ku4xwf/pRytq0Izm/+9OxY/A8n28v8ltTimCg4Z/v8L9vGWExz6v0WuviX+GvHqE2715pPeqIhxw1fl8HMff5b6KH3GjeU57lYVlde7nz5vcbp8itGnYbo3hf77ObR9f5zHvP4rbte27ZAzP7c3Z/dw+im27Vfv//L8Ntru01Mb7NbnPkd6LHYqAt+7zL227RU0+zwrbXaYGn59jeN1uGOHvslXSY0e4j9H8fV0RYPeOsl1dhbb93gjvzS82eLwtklaN97XJ7n+OYjbV/lE8vyFFUL62yf/spU2ua7b8QtIZTdp5R7bd2yfyfFlYWGb2wjA6AJXx8DpF0cg3KY6Y7Vf0RDiimIb4o5KeL2mN1xZy/pjiyOa/K35gbVYEBCcVR/Q+r+i2/kh3H1bo092PKnpRvEWxk3SsvM1kmuBr0cp2Dbn7nyh6DHxUsWPfrxjucp2kf5R0trtPq27xHlPTP0XRMyv1IDqumJ3uXZIe4O6fmMT2HHP3Zyl6VX1Y8X4+rng/b1P0uHixpH9tcPv3KHoUvUbxo3ivIrTpk3SLpE9J+iNJ63yCPRTc/VuKnm5Pk/QeRbHX9HgHFT/A3p9df5a7f6zOfbxQ0vMUw4uOKN5Td2bP/UJ3f8so2/IyRc+Cbyvek8cVQ1L+WfE3/EWTm0/0M+R1ivfQVxUz66XbfVoRvr5iNM+hKu7+M3d/hKIHwVsV/5+7FX+Xw4rX5aOK12u9u7/N6/QYcvd/V/RM+4riefUrXpt3SLrA3b9Tvk2FvqF8OJck/dzdrxvpRu38LhmD92SnZ5rZQ0d4PgPKZ+STGvdYKq7fL6neMK5Ryd4LT1QMS/ypIpTz8d5fhV6hCIF+qugdNqDoeXal4vP7PHcfaRbGixVDjr+hOMh0SPF/sV/xXvl3Sfdx95d4/UL09bxMUePpu+7+oUYbubsreqy+WvH9MqDoCfU+SQ9z992jfLxG93/C3V+u6Gn4N4q6iVsVn4UnFIXEvyrp7xRh0PPcfUeDu6vnO4rA6Z8UPfJuU/xPpefxVcV3y/3dfXO9OzCzhyl6CUoxPB8A6rL4zAQAAAAwWmb2RUWB9fe6+x+0uz3AZDCz9yqGKn7F3X+t3e0BMHURNgEAAABjZGb3U9SEOqUYzrpthJsA05qZna7oDdUt6aHuzkx0ABpiGB0AAAAwRu7+U0WR/x5Jf9vm5gCT4W8VQdMnCJoAjITZ6AAAAIDxeZWibtAJMzNnyABmKDMzRS2+1yrq+AFAUwyjAwAAAAAAQGUYRgcAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2ARgxjGzLWbm2fKWEbZ9ZWHbU5PUvkuzx7t0Mh4PAAC0X2n/JC39ZrbdzD5nZr/e7jY2Y2YXZW2+srR+U7Z+S3taBmAqImwCMNM918x6mlz/wiofjB0uAAAwgu9J+mC2fFHSKUkXS7rCzP6tnQ0DgKoQNgGYyX4sabmkp9W70swulHRPST+azEYBAIBZ7b3ufkm2/Iake0h6e3bdn5vZg9vYtvG4S9J5kh7X7oYAmDoImwDMZO/PThv1XnpRaTsAAIBJ5e6nJL1S0uFs1VPb2Jwxc/cBd7/J3W9vd1sATB2ETQBmsusVvZueaGbrileY2QJJz5a0XdJX693YzO5lZq81s++Z2V1mdtLM9pnZ18zs2XW2v0zS5uzixnJdhgaPsdLM3mFm27L732ZmbzOzJeN+1gAAYFpx9xOSbs0unla+3sweZ2afNrOd2f7CbjP7jJk9rN79mdlDzOxNZna1me3KbnO3mV1hZo9v1hYz+z0z+5GZHTOz/Wb2ZTN7ZJPtG5YQKO4DmdkzzOy7ZnbYzPqy/asnN7nfjWZ2Wdb+E2Z2a7ZfNsfMrszu+6JmzwVA+xA2AZjp3q/4rLuktP7ZkhYo6iUMNbjtX0h6taRliuDq05JulvQYSZfXqavwXUmfys73Ka/HkJayDZKukfQMSVdL+j9JCyW9VNJXzax7NE8QAADMCIuy07uLK83szZK+pigLsFXSZyXdkV3+jpm9oM59/aOkv5Q0R9JPsttsl/Trkv7PzF5WrwHZxCoflPQARZmBryj2V66U9PRxPi+Z2WslfSK7+EVFsHahpP81s9+os/29FAcMny9pUNLnFPtgf6nYX2IfCZjizL3uwXYAmLayI2sbJT1SERLtlHSXu59d2Oa7ip2ceyjCps2SBt29q7DNoyVtc/c7Svd/rmKnb72kX3H3qwvXbcru605339SgfZdKek128TJJf+Tu/dl1GyT9QNI6Sc9x94+N4yUAAABTTGH/5AXuflnpuvMU+yydkh7s7j/O1v+BpHdLuk3SM9z9Z4XbPErS/0rqlXS+u99auO5Jkq5z952lx3mYpC9LmivpDHe/q3DdU7L765P0JHf/TuG6v1UEWJL0LXe/qHDdJjXY9yn07D4o6dfc/arCdZcq9oducfdzS7f7iSLw+h9JlxT2k9ZJ+rqktP1j3P1KAZhy6NkEYEZz90OKHkn3yMKjFBY9XLGzdEeT29a93t1vlvT67OIzJ9C87ZL+JO1AZfe9TdLbsotNu7kDAIDpzcwWm9kTFfsqnZLeUAiaOiRdmm3628WgSZLc/duK/ZEeSS8uXfelctCUrf+BpHcoegaVJ1B5eXb69mLQlN3unyRdN8anV/TqYtCU+SdJhySdkx1skyRlQ/YeIOmohu8n3aXo3QRgiusaeRMAmPbeL+m5ikLh31JeMHzEwuBZbacnSbpA0grFDp0krclOz613u1H6ursfq7P+F9npujrXAQCA6e0DZvaB0rpBSb/r7h8trLtA0lpJt7v7Txrc15XZ6YXlK8xsuaSnSDpf0lLlQ89ST+9zC9t2SXpEdvEjDR7rQ5Lu3+C6kVxRXuHu/WZ2h+J5rpO0Lbvq0dnpl919f53bfcHMDkpaMs62AJgEhE0AZoNvKrp3P9PMXi7p9xQzvnyy2Y3M7KmSPiBpeZPNFjW5biRbG6xPs9HMmcB9AwCAqel7imFxkrRSMex/oaT/NLNbC8Pzz8xOz2o00UjByuKFbPjdv0ua3+Q2xX2Y5cr3OzbX2bbZ+tEYyz7P+ux0S5P7u1OETcCURtgEYMZzd89minutoujlaknvdvfjjW6T1QS4XFHT4E2SPqrY6Tnq7kNZl/evSLIJNK1RYXIAADBzvbdYs8nMFkv6jGICko+b2b2yns+p5MkuxT5HM3sL9/dASf+l6C3114peRVslHcv2if4wu34i+zBj4u7j2edpFrBReBiY4gibAMwWlymKUD41uzzSELqnKoKmz7j7X9e5/uw66wAAAMbE3Q+Z2W9JuklRQPwvJL1B+bCyfe5+yRju8lmKIOlt7v6mOtfX24fZJ6lfUWx8k6Qb62yzaQxtmIhUtLzZ422chHYAmAAKhAOYFdx9q2La3H2SflinSGXZsuz0zvIVZmaSntPgdiezU8J8AAAwKu6+RxEwSdIrzGyJpB8peizdy8zuPYa7a7YPM0fSM+o8/inF8D4p6lzW87wxtGEivp2d/pqZLS1fmc20N2w9gKmFsAnArOHuv+nuK9z9YaPYPBXpfqaZpWLgMrNOSa9TnUKcmT2KwGm1mS1rsA0AAEDZOxXD3RZL+kt3H1CUADBJnzGzR5RvYGadZvZYM3toYXXah3m+mS0sbDsne4wzGjz+f2Snf2pmNfs5ZvZXihniJsO3Jf1UUcfqbWaWJmeRma2V9K+T1A4AE0DYBAD1XSHpJ4oilbeY2f+a2eWSblfUP3hjvRtlO4afV0xffJ2Z/beZvdfM3jtJ7QYAANOQu/dLujS7+DIzW+bub5f0L4qhb98xsxvM7LNm9jEz+6ai59PXVTtL3AcUvZoukLTZzD5jZp/M1j1T0lsaPP4Vkt4haUH2WN/M9mNukPRPjW5XNXd3Sb8rab+il9UdZna5mV0h6ZZs/Q+yzU/WvxcA7UbYBAB1ZN3JL5L0j4raAY/LLl8r6WGSvtzk5i9WFN50xU7di7IFAACgmQ9J+rmiV88rJcnd/0rSwxWTlSyQ9GuSniJpraQrJf2+YlITZdsflPQgRS+mg5KepNh3+aqid9J1jR7c3V8q6YWK/Z2HSnqypJ2K/aDPVvEER8Pdb5D0QEkfltQt6emSzlMEXk+QdFq26d56twfQfhbBMQAAAAAAU5uZnSHpNklHJC0b50x3AFqMnk0AAAAAgCnDzObXK4puZhsVPbw6JH2QoAmYuujZBAAAAACYMsxsk6TNilqZt0g6LOl0xTDAXkUB8Ue5++F2tRFAc4RNAAAAAIApw8wWSHqNpMcqQqYlko5JulnSpyS9zd2Pta2BAEZE2AQAAAAAAIDKULMJAAAAAAAAlSFsAgAAAAAAQGUImwAAAAAAAFAZwiYAAAAAAABUhrAJAAAAAAAAlSFsAgAAAAAAQGUImwAAAAAAAFAZwiYAAAAAAABUhrAJAAAAAAAAlSFsAgAAAAAAQGW62t2A2cLMuiStzi7ucvdT7WwPAABAFdjHAQAAZfRsmjyrJW3LltUjbAsAADBdsI8DAABq0LOpDbZt27at3W0AAAA1rN0NmAnYxwEAYMppyz4OPZsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJWZkWGTmS0ws9ea2ZfNbL+ZuZldMsJtus3s59m2r5ikpgIAAIwJ+zkAAGCqm5Fhk6QVkl4t6TxJPx3lbf5U0uktaxEAAEA12M8BAABT2kwNm3ZKWuPuGyW9cqSNzWyVYqftja1uGAAAwASxnwMAAKa0GRk2uXu/u+8aw03+WdLNkj7SoiYBAABUgv0cAAAw1XW1uwHtZmYPkfR8SY+Q5BO4n/UjbLJ6vPcNAAAwHlXs57CPAwAAxmpWh01mZpLeJulyd/+BmW2awN1tq6ZVAAAAE1fhfg77OAAAYExmddgk6RJJ95H0zDa3AwAAoGqXiP0cAADQBrM2bDKzRZL+SdK/uHsVR+w2jHD9akk/quBxAAAAmqp4P4d9HAAAMCazNmyS9ApJPZIuL3QrTzUJlmbrdrj7ydHcmbtvb3Z99GQHAACYFJXt57CPAwAAxmpGzkY3SqdLWirpRkmbs+U72XWvyi7fqz1NAwAAmBD2cwAAQNvM5p5Nb5X02dK6VZL+S9Jlkj6n2BEDAACYbtjPAQAAbTNjwyYze6mkJZLWZqueWpi6923ufo2ka0q32ZSdvdHdPzsJzQQAABgz9nMAAMBUNmPDJkWtgo2Fy7+ZLZL0EUmHJr1FAAAA1WA/BwAATFkzNmxy903juM0WSVS5BAAAUxr7OQAAYCqbzQXCAQAAAAAAUDHCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFSGsAkAAAAAAACVIWwCAAAAAABAZQibAAAAAAAAUBnCJgAAAAAAAFRmRoZNZrbAzF5rZl82s/1m5mZ2SWmbDjO7xMw+b2bbzKzPzG4ws783szltajoAAEBD7OMAAIDpYEaGTZJWSHq1pPMk/bTBNvMkfUDSSknvkvRySVdLeq2kL5mZtb6ZAAAAY8I+DgAAmPK62t2AFtkpaY277zKzB0n6UZ1tTkp6uLt/v7DuPWa2RbEz9jhJX2t5SwEAAEaPfRwAADDlzcieTe7e7+67RtjmZGknLPlMdnpe9S0DAAAYP/ZxAADAdDBTezZNxOrsdO9YbmRm60d5vwAAAO3APg4AAJgUhE3D/ZWkw5K+NMbbbWtBWwAAAKrCPg4AAJgUhE0FZvYqSY+X9BJ3P9jm5gAAAFSCfRwAADCZCJsyZvZbkt4g6X3u/p/juIsNI1y/WvWLeAIAALQM+zgAAGCyETZJMrMnSPqQpC9I+qPx3Ie7bx/hMcZztwAAAOPGPg4AAGiHSQubzOxeki6UtFLSje7++Wx9h6Qudz85WW0ptetXFLOz/FjSs939VDvaAQAAUCX2cQAAQLt0tPoBzGyDmX1N0vWS/kvRjfvphU3+QNJxM3tcq9tSp23nKY70bZH06+5+fLLbAAAAUDX2cQAAQDu1tGeTmS2T9C1JmyTdIOnbkl5S2uzjkt4u6WJJX6/wsV8qaYmktdmqpxam7n2bpCFJX5G0VNK/SHpKqRv47e7+g6raAwAAUAX2cQAAwFRn7t66Ozd7o6RXSnqzpL92dzezIUmXufsLC9tdI8nd/YEVPvYWSRsbXH1Gdrq5yV180N0vqbA965VNHbxt2zatX79+hFsAAIBJNG0KD7GPAwAAxqAt+zitrtn0NEX37b/x5qnWHZIeXuUDu/umUWw2bXYsAQAAJPZxAADA1Nfqmk0bJV3j7kMjbHdS0rIWtwUAAAAAAAAt1uqw6YSkhaPY7nRJh1rcFgAAAAAAALRYq8OmmyQ9wMzmN9rAzFZIup+kn7W4LQAAAAAAAGixVodNn5S0XNK/mVmjx/oXSfMkXd7itgAAAAAAAKDFWl0g/B2Sni/p9yU90Mw+na0/y8z+QtKzJD1E0nWSLmtxWwAAAAAAANBiLQ2b3P2Emf2qpE9IulDSBdlVj8gWk/QjSU9394FWtgUAAAAAAACt1+qeTXL3nZIekYVOT5F0pmL43jZJX5L0OXf3VrcDAAAAAAAArdfSsMnMfk9Sv7tf7u5fkfSVVj4eAAAAAAAA2qvVBcI/IOmSFj8GAAAAAAAApohWh037JO1v8WMAAAAAAABgimh12HSVpPu2+DEAAAAAAAAwRbQ6bHqTpPPM7MUtfhwAAAAAAABMAa2ejc4kvUvSO83sGZI+JWmLpOP1Nnb3b7e4PQAAAAAAAGihVodNV0pyRej0eEmPa7KtT0J7AAAAAAAA0EKtDne+rQiRAAAAAAAAMAu0NGxy94taef8AAAAAAACYWlpdIBwAAAAAAACzCGETAAAAAAAAKjMpYZOZnWdm7zKzm83saLbcbGb/aWbnTUYbAAAAAAAA0Hotn/3NzC6R9C5J3YpZ6ZKzs+UFZvZid/9gq9sCAAAAAACA1mppzyYze6Ck90jqkfQFSb8h6b7Z8nRJV2TXvcfMHtTKtgAAAAAAAKD1Wt2z6ZWKQOtF7v6B0nU3SPp81vPp/ZL+UtLvtLg9AAAAAAAAaKFW12x6pKTr6gRNv+Tul0m6RtKjWtwWAAAAAAAAtFirw6YVkn4xiu1uyrYFAAAAAADANNbqsOmgpNNHsd3pkg61tikAAAAAAABotVaHTT+SdKGZPbbRBtl1D5d0VYvbAgAAAAAAgBZrddj0tuwxrjCzN5nZvc1sXracb2ZvVsxIl7YFAAAAAADANNbS2ejc/Stm9g+S/k4x29xf1tnMJL3e3b/ayrYAAAAAAACg9Vrds0nu/v8kPVnSNyX1K8Ilk3RS0jckPdndX9PqdgAAAAAAAKD1Wh42SZK7f9ndHy9poaTV2bLA3Z/g7l+u+vHMbIGZvdbMvmxm+83MzeySBtuel213NNv2w2a2suo2AQAAVIH9HAAAMNW1dBhdmbsPSto9CQ+1QtKrJW2V9FNJF9XbyMzWS/q2Yia8V0laIOkVku5jZg9x95OT0FYAAICxYD8HAABMaS0Nm8xsqaT7SLrd3e9qsM06SWdJ+pm7H6zooXdKWuPuu8zsQYpZ8ep5laT5kh7o7luz9lwt6f8kXSLp3RW1BwAAoCrs5wAAgCmt1cPoXqao1bSmyTZrsm3+pKoHdfd+d981ik2fIel/0w5YdtuvSbpF0rOrag8AAEBV2M8BAABTXauH0T1Z0h3u/uNGG7j7j81ss6Rfl/QPLW7PL2U9qlZJqte2qxVtH8v9rR9hk9VjuT8AAIDxqnI/h30cAAAwVq0OmzYpdmhGcpOkB7W2KcOk3lY761y3U9IyM+t19/5R3t+2apoFAAAwYVXu57CPAwAAxqTVw+gWKYpSjuSwpCWtbcowc7PTejtZJ0rbAAAATCfs5wAAgLZpdc+mPZLuOYrtzpW0v8VtKTuenfbWuW5OaZvR2DDC9avVuIAnAABAlarcz2EfBwAAjEmrw6YfSvpNM3uUu3+73gZm9khJF0j6bIvbUpa6ldcrXr5G0v4xDKGTu29vdr2ZjaFpAAAAE1LZfg77OAAAYKxaPYzuPyWZpE+a2dPKV2brPinJJb2rxW2p4e53KXpe1asV9RBJ101mewAAAKrCfg4AAGinloZN7v4NSW+XtELSp83sbjP7drbskvRpSSslvcvdv9rKtjTwKUm/bma/7B5uZo+TdI6kT7ShPQAAAFVhPwcAALRFq4fRyd3/zMxulfT/FMHSysLVeyX9g7u/perHNbOXKoqOr81WPbUwde/b3P2QpH+U9CxJ3zSzt0haIOmVkq6X9IGq2wQAAFAF9nMAAMBUZu4+OQ9k1inpgZI2Zqu2Svqxuw+26PG2FB6r7Ax335Jtd29J/ybpEZJOSvqCpL9097srbs96ZVMHb9u2TevXrx/hFgAAYBJNq8JDU2k/h30cAACmtLbs47S8Z1OShUpXZ8tkPN6mUW53o6RfbW1rAAAAqsN+DgAAmMpaXSC8LjPrNbPTst5OAAAAAAAAmCEqDZvMbK6Z3cvMTm9w/elmdoWkw5J2SDpiZh8ys+VVtgMAAAAAAADtUXXPpucpik4+r3yFmS2R9G1JT5bUrRg3OEfScyV9hV5OAAAAAAAA01/VYdMjstMP1rnulZJOl9Qv6S8knS/pKZJul3SBpOdX3BYAAAAAAABMsqrDpvtLutndt9e57nmSXNKb3P0/3P3n7v4lxZS8JukZFbcFAAAAAAAAk6zqsGmVpF+UV5rZmZLSPLjvK17n7j+VdJ2k+1bcFgAAAAAAAEyyqsOmZZJO1Fn/wOz0DnffVuf6zZJWVNwWAAAAAAAATLKqw6ZjktbWWf/g7PSaBrc7KelUxW0BAAAAAADAJKs6bLpJ0q+Y2bLS+icr6jV9v8Ht1knaVXFbAAAAAAAAMMmqDpv+V9IcSZeb2VlmtsjM/p+keynCps+Wb2Bm3YrZ6LZW3BYAAAAAAABMsq6K7++tkl4s6bGSbild91F3v7PObZ4iab6kb1fcFgAAAAAAAEyySns2ufthSY9X1GaywvI5SS9pcLM/y06/XmVbAAAAAAAAMPmq7tkkd79Z0oPN7ExJp0na6u53NbnJyxWB1A1VtwUAAAAAAACTq/KwKXH3OyTdMYrtftaqNgAAAAAAAGByVV0gHAAAAAAAALMYYRMAAAAAAAAqQ9gEAAAAAACAyrSsZhOmrrvvlrZskZYskdavl+bPb3eLAAAAAADATEHYNAvdeKO0d6+0Y4d0yy3S0qXSunXS2rVSb2+7WwcAAAAAAKYzwqZZ6NQpad8+aefO6N20YkVcvvFGaeXK6O20erXU2dnulgIAAAAAgOmGsGkW6+iQ+vulW2+NYGnZMunwYWn37ri8Zk0ETytWSGbtbi0AAAAAAJgOWho2mdn7JX3X3d8/wnaXSHqUu7+wle1Bra4u6fzzpWPHpP37Y2jdnj0xlG75cunoUWn79ri8bl0sS5a0u9UAAAAAAGAqa3XPpkuy06Zhk6SHS3q+JMKmNpg3L5Z166QjR2JI3d13R02nefOiZ9PRo9Idd0gLFsR2q1dLixa1u+UAAAAAAGCqmSrD6DolDbW7EbOdWQRIixZJGzdKhw5Fb6dt22JZuDCCp0OHpJtvjiBq9WrptNNiCF5HR7ufAQAAAAAAaLepEjadLelQuxuBXEdHzFK3dGkUFD9wIIKnO+7IQ6klS6SDB2NdV1cUF1+1KpY5c9r9DAAAAAAAQDtUHjaZ2atLq+5fZ13x8e8t6UJJX6u6LahGCpJWroyC4gcORMi0dat0553Rw2nJkli/Y0eEUQsXRui0YkX0euqaKrEmAAAAAABoqVZEAJdKcklp/rL7Z0szfZJe14K2oGK9vTF0bvXq6PF06FAET6nGU2entHhxLPv2ST09ET4tXRrB04oVEUx1drb7mQAAAAAAgFZoRdj0OuVh06slXSfpcw22PSlpu6SvuPvuFrQFLdTVFbPWLV8uuUt9fRE8HTokbd4c28yZE0Pu9u2Tdu+O23R0ROCUbrtsGeETAAAAAAAzReVhk7tfms5nw+euc/fXVv04mFrMYqa6BQuk9eulgYGY2e7QoVh2745t5s6NIXYLFkRvqO7uWL94cV4jatmy2A4AAAAAAEw/La2k4+7MTzZLdXdHaLRsWVzu75cOH5aOHs2H3UnR8ymFTwsX5oXFe3uj91Nx6emZ9KcBAAAAAADGqG1lm81srqRzJG13931tbMfZkl4v6RGSlknaKum/Jb3Z3Y+1q12t9Ja3RHCzZIl0xhkxzK3VenvzIuOSdPJk9HxKAdSePbG+qyuCp/nz86W7O66bMyevB5UWekABAFDfbNzHAQAAU0NLwyYze6Sk35D0QXf/aWH9cyT9l6R5kgbN7A3uPukFws1sg6SrJR2S9HZJ+yU9TNJrJT1Q0tMmu02ttnu39MUv5pcvuywCoDPPlM46Kz9dtiyGt7VKT09es0mKYuN9fRFAHT0q7dolDQ7Gdb29ETrNm5efpgCqu7s2fFq0KLbpoE8dAGAWm437OAAAYOpodc+mP5T0W5L+Ma3Idn7eL6lH0kFJSyS9xsy+5e7fanF7yp6XPf4j3P3GbN27zaxD0u+Z2VJ3PzDJbWqpjg7phS+UrrtO2rJF2r8/ehXt2SNddVW+3eLFwwOo1atbF0B1deWBUXLiRARQadm5Mw+gurtrw6f58yOUSs8xDctbtChOFy6MXlCtDNAAAJhCZt0+DgAAmDpaHTb9iqSfuvvewrrnKYKmS939dVnvpyslvUTSZIdNaQDZ3aX1OyUNKWbLm1FWrJB+67ekBz0oZoi7xz1i5rjbb5fuuCOWbduiqPe118aSzJsXw+7OPFPauDHOn356HvJUbc6cWFLvJylqP/X1SceOxemePVGMXIoZ7ebOjXbOm5efTzPddXZGKJXCp1TQnJ5QAIAZaNbt40jS0JC0dWucX7uWeo8AALRLq8OmFZJuLK17rGIH598kyd2/Y2Y/lHRBi9tSz5WS/lrS+8zsNZL2SbpQ0h9Lequ79432jsxs/QibrB5vI1tp/nzp/PNjSfr7pTvvzAOo22+Py8eOSTfeGEvS0SGtWROh08aNcXr66bGD19WCd1dvbyyp8LgUYVMKoI4di6F4e/ZI7nF9T0+EVvPmxencuXGahuKZxXUpeFq4ME4XLGhdkAYAQItdqVm4j7Nzp/Szn8U+wI03SuvWxcGxYs9pAADQeq0OmxZIOp4umJlJerCkH7v70cJ2WyTdr8VtGcbdv2xm/0/SqyRdXLjqH9z978d4d9uqa1l79fZK55wTS3LqVPR4uuOOGH63ZUv0iDp8WLrrrlh+8IN8+66uCJxS+LRhQ5yuWVN9CNXdnc9YlwwNxTC848fz5cCBKEyeQqiurjx8SgHUnDnx/NNwu66u2mLlxeLlHC0FAExVs3Uf5/jx2Ge5/vqoSXn8eOy/LF0qbdoU+yb0ZgYAoPVaHTbtl7SpcPkCSQslfb+0Xbfa1517i6RvS/qU4qjfUyS9ysx2ufvb29SmKaerK44MnnFGvs5dOngwgqetW2O5887YqTt+PF9X1NkZO3obNkjr1+ena9dWO7NcR0c+nK4ohVBpOX48ekXt2xfXSRE0peCpGEDNmVMbMHV31wZR9epHAQDQRls0S/dxTp2KyUZ27YqDUatWxUGnG2+Mg1+bNjGjLQAArdTqsOlHkp5kZg9z9x9Iepkkl/SN0nZnK2oITCoz+21J75Z0jrtvz1Z/Oiue+UYz+5i77xvl3W0Y4frVitdjxjCLI4VLl0oXFAZBDg1Je/dG6JQCp23b8hAqnS9bvjxCp3XrYlm/Pk5XrszrLk1UoxDKPXo9lYOo/ftre0N1dNSGT42CqK6u/HHKM+nNnctRVQBAa7GPEzUmh4aku++Wbr45vq9POy2G3N9+e5zftCnqWTKBCAAA1Wp12PQWSU+W9F0zOyRpsaQ7JH01bWBmKyTdR9L/tLgt9bxE0rWFnbDk85IuUfTE+tpo7qjOfdSwWbQX09ERRxBXrZIe+MB8vXseQhWXHTuiIPm+fbFcf33t/XV3x/C7tWvz07QsW1bNDqJZXg+qXNdhaCjqWJ04EafHj8fpvn0RRBWfdwqe0n2l8z09ecBkVlvIvBxGpVpSAABMwKzfx+noiANZK1dGPcfdu2O/Y/v2WN/XFz2f5s+P0GnDBr6DAQCoSkvDJnf/mpm9UNJrJK1SzDb3EncfKmz2PEkdmvyZ6CTpNEn1pv1NuxqtDuNmFbPY4Vu5UnrAA2qvO3Ikr/20Y0fsCKbzAwP1h+RJEeIUA6g1a/Jl2bJqehB1dOR1ncrSsLz+/jyQOnFieH0os2hrCqHKYVSxjlV3d234VFzoFQUAGCX2cQrSTLSnnx6h0+7dMZnIggXRw+nIEemmm6JX9caNFBQHAGCiWr6j4e4flPTBJpu8S9L7JR1tsk2r3CLpiWZ2jrvfUlj/O4ppgX/WhjbNSgsXSve8ZyxFg4OxQ7hjR8wws2NHvuzeHYHOnXfGUtbTEzuQa9YMP121qpoC342G5Un50Lxir6j+/jiSun9/PLeks7N2SF4xkOrpyXtvpV5RxSCqeJ4jsgCADPs4dXR3xxD9tWvjwNDu3TGkrrs7Lyh+552xX7J+fSxz5rS71QAATD9tP6rl7sdVmLFukv2LpCdJ+o6ZvV1RPPPXs3XvdfcdbWoXMp2deU+lslOn8iAqLbt2RSiVgqhG9aGk6Pl02mmxrF6dnz/ttLhuonWiikPzFi2q3/5iCJVCqaNHozdXs15RxUCq2Cuqp2d4AJXOz5lDTQoAmEXYx2nCLL7rly2LGk67d0dtp507I2hauTImQfnFL2Kb1IOaCUAAABidSQmbLAbzP0nShZJWSrrK3d+fXbdS0lJJt7v7YON7qZ67f9vMLpR0qaK2wXJJmyX9naQ3TWZbMHZdXfnOX9ngYHSP37kzn42muKTi3/v3x45kvftetao2gCouCxdOPLjp6oru+wsWDL9uaCjvFVUMour1iurqqt8jqtwrqtgLq1gnKp1neB4AzBzs44zevHl5zab9+2P/4fbb46DTkiUROu3dK91wQ9R6WrcuDoJV0UMaAICZquVhk5ndT9LlihnnTDEbXbdi6JwkPUHShyU9XdIVrW5PmbtfrShijhmkszN6K61ePfw696jNcPfdsaQAKl3esyd6HaXeUvXMnZsXQU+hVDGcmj9/YmFUmvWuUdf9gYHaICqFUUeO1BYtL/auqle4vF7R8hRAFQOpqmYDBABMHvZxxqazM68teeJEBEz798eEIJ2d0cPp0KFYf/31cXn16gie6tV1BABgNmtp2GRm6xUznSyX9EVJV2r40bTPShqQ9DS1IWyazfr7pZ/8JAIHs1jS+Y6O+ufNYocrrevoiJ41nZ2xpPPpdCoyi2FtixZJZ589/PrBwdixLAZQadm9O3Y8U02HerWipAhp6gVRaV293kxj0d0dS6NeUcUAKvWQOnw4ToeGau8nhVophErni3+/OXOGB1Bp6Wr7YFwAAKo1Z05es+nYsTx02rMnvveWLo2aT3v2SDfeGAXF05B8iosDAND6nk2vUgRNL3f3t0qSmdWETe5+zMx+KunBLW4LMt3d0S28uzuCB/f81D3ClnR+aCiWwcHabdPltG09KZjq6mq+pOAkXW63zs48FKrn5MnYuSwGUKnWw+7d0d3+2DFpy5ZY6pk/v7ZnVHnIXr2C46PVbPa81P7RFC3v7q7tCVUMpIp/p97e2vCpGEpRsBwAMN2lIejr1+ffl2m4XWdnhEtLl8a6m2+O78n0fb5ixdQ9+AYAQCu1+qf9r0m6KQVNTWyR9JgWtwWZ88+PgGBgYHiYlJZGAVI96faDgzH8rHyalsHBCDiKl8uPY1YbQPX05EFUOp+Wdu289fREvYZ16+pf398/PIxKw/Puvju64Pf1SZs3x1LPwoXDg6h0xHTVqokVKO3piWXhwuHXFYfnnTiRB1KHD8d1SZo9r16PqGLA1NNTvz7U/PkUWQUw+U6dqv2MK56/4AL9iruuancbMbWl77ING+LA0sGDETLdfnvswyxcmNd5uvPOOAC0fHl8d69cWf+7FwCAmajVYdNaSZ8bxXYuqc58XWiFVI+gmXq9mtKSgqIUJg0M5Kf1lpMn4/p6j5GCp7Rt+fzx4xHOFGdnSzo7h4dSxfPpdLJDqd7evOt9PSdORPCUQqhyKHXkSL7cfnv9+1i6dPjwvHQUdeXK8fcQazY8L4WF6QdaOl8viKrXGyoVLC9u16hHFDPnARgt9+H16xqdL/belOI7LX3nSDpHImzC6KUeT2vXxnvs4MFYtm2Ttm6N773U42nXrvxAzapV0eNpxQoOvAAAZq5Wh019itnnRnKGpP0tbgvGIA2BS4HORBV36E+ezJf+/san5XCpHGidPFl7vq8vzpd/THR21gZQaUnDxFLAMlnmzIkjohs21L/+2LH6YVQqZn78eNSJOHBAuumm4bdPR1FXr44d2tQjKp0uWTK+IKcYDpUNDg7vDXXihHT0aG3B8o6O+sXK58wZeea84nmGJAAzX+qFVPxMqRcinTw5/Pui0UGP8ndH6fuiThU/TDc/+5n0gx/UHgSZDL29+UGfwcE4EHPwYF4Dstjr6cCBCKOkWJeCp2XLmOEOADBztDpsul7SA81shbvvrbeBmW2UdD9J/9fitqCNUsgw2iN47rGj2OxHRjot95oaHKz9QVEMt06ciJ5Sp07V/jgxqw2iGoVTk9HbZt48aePGWMqKM+mVa0WlQCrVlNqzp/799/TkO8SpR9SaNfnsfY1mwGumszMPhMqGhmr/fulvd+BA7Y/EZjPn9fTUBkypTlR6zOJCryhg6nOPz4Hjxxsv5bAg9aYthkX1DkCUP9+l/MBJ+jxPkxsUe8VKunaSnj5a6OMfly6/PM6vWCHd+97SeefFcvrpk3OworMzejQtXRqXjx3Lw6fU66m7O5+sZO/efP9o4cI4YLR8eYRP4/lOBgBgKmh12PQRSY+S9F4ze467HyteaWY9kt4pqTvbFpBUG/6MpFyDo95y/HjtLGwpzEohVKpVlNalHjnlQKqrKx8OVl56e+P6VgYdI82k5x4hTuoFVe4ZtXdvPK9t22KpZ8mS4b2h0vlly8a+o17spVSvvSkELAZSjWbOqxdGlYfnmeUF0oshVLpMGAW03sBAfO4eOzY8VDp2bHjv1RQipZ5K5SUN3y4yqx0+PX9+/aHV3d3xOTQKdQZ8Y7rZsEHatCnqJe3dK33rW7FI8R1w7rl5+HTOOY0n06hS+h5avTrex3198T13+HBMJOKe11JctCgOIKV2zZ9fGz5NZAIRAAAmk/lYKkGPdGdmd0j6hLv/dXa5U9LXJD1a0nZJX5b0+4qjh9+TdLGk0yV9zd2fWFlDpiAzWy9pmyRt27ZN6xsV9EHLFEON9OOneHrixPAj6fWG/hWHAKYi60kKydLwvBSEFM+3c8a9gYHhQ/R27cqXo0eb376rqzZ8WrOmtmdU1bUn0utc7t2WXvsk9YpKr315KQ6TNIvAqRhIpfNpmQqzIgJT1dBQ8x5Jx4/XBkNDQ8OHThfPl4ezlXuaFkOj9BnaiuHPF1+si911RbX3OjtMpX2c226LoXQ//GFc3rZN+sUvpFtuifdmUUdHBFMpfDrvvJFrWlbt1KnaWo3HjkX4lOonLloUIVQKmebMidBp6dI4XbRo1GEqAGD2asuh9qp/Um1SoUaTuw+a2VMl/Zek31YETZJ0QbZI0qckvaDidgDDpB8ui5qUoj91angYVb7c3z/8NuV6U6mn1JEjw4ubpxpSxR5SxaCklcP1urujkOnatfWvP3o0D56KYVQaqnfqlHTXXbHUs3RpPhxvzZraZTwz8DSbOS/ViSrWbenvz6elLv547egY/jqXX/via97dnQdSxWCquI5ACjNVsVdSuUfS8ePDPwPT5129enwpTCoqDmdbsqT+EGZ6H2KienujB/AjHxmXBwejt9MvfhH1Dn/xi/heu+OOWL7whdhu+fLo8XTOOdEL6h73aO1Qtq6u2iF3g4PxXXzkSPR82ro19iE6O+O7cMGCOGg0f358t3V2xv9Ruo+lSyk6DgCYGqru2TQk6TJ3f2Gd6+4p6cmSzpTUoTgC9iV3v66yBkxhU+moHyYm1SAq/ggrXy7+uCoO2at3VL+/v/lR/XrBSDsKZA8ORqHTnTsjfEqno+0VNX9+bW2o1asj9ErD86o+MlsMAYuvdTpfrPVVb4hkuVdauRdFV1de3LzR0tvLEWdMLWnmtmZhUvF/o9wrqd5nWHE3IgW7jT672jFD6GjRs2n8ptI+TurZdO21ETalEKeeffsidErLHXfU9laW4j29cWPc1z3uEacbN07eAYc07C71fOrri3Vm8b26YEG+pCHl8+blAdSSJdLixVP3/w4AMClmRM+mhtz9Jkl15s4CppdmNYiSU6caB1FpKe7QDg42/jFXr3dUKmxbrFlUPN+KneDOzigovmpV/etTr6idO/MlXd6/P3aQb7stlrLu7uE9otL5VavG93y6umJp9HdKr3m9nhh9ffVrdjUqHF88Xw6XijWmyrWmipfpKYUqpCFujYKkEydqP3vq9cwsDxUuKg4JnjdveKg0mTN7AhO1fLn0iEfEIsX/x223xZC7W26Rbr45AqnNm2P56ldju54e6YwzInhKIdS6da05uNDZmddqlOJ76dix+M49ejS+X3ftiuu6u/PeT8XZW4sz4aVl4UIOhgAAWoufN0ALdHXFjlyjoWOpMHb5R2HxfLl3VL0fgv39w2d1k2LnslxAu3jaimBjwYLY4b7HPYZf19+fB0+pJ1Q6v3t3PNdGRcs7OiJwKoZQxWBqvMMFOjvz4XGNFOt1FQvIDwxEIFWu2SXVznBVPm1WsLj8N2u2EEzNTkNDef2y4jDfRkPcyr0q6/VKqterMgWhixcPD5P4cYqZbM4c6fzzY0n27pVuvTVfbrstPv9vvjmWZO5c6cwz4zvwrLPidM2a6nsUpR5N8+dHzUQpP0iSAqjt2+PzIk2YkXpAzZ8fl83if3nx4rzn05IlsQ1DWAEAVWnFT5YFZnb6eG7o7lurbgwwFaWC1r29sYNXT6ofVS+MqjebU6qbUl4OHowd0WIoMtlhVG9vDDvYuHH4dYODUX+i2BOq2EPq5Mk8oLq2zsTky5fHcLxyj6jVqyc+a08KhubPb7xNcSr28umxY/mQvUZTsRfDqGLh47R0dQ3/gV+uQTVSPSp6m0x96f+9XCuuWb24wcHaekn1eifVC6FTHbTye4ZaScBwK1bE8rCHxWX3+G4qBlC33x7/pzfeGEsyd24ET8Vl7drqA6j0mZ+GDLpHe1IA1dcXoZl73js7BVbz5+eztHZ2RvCUFgIoAMBEtCJseka2jJWLnlbAL3V15XUY6inWjiqGUMXTemFUsZfDWMKoNOSr6ppRnZ15T6V6z/HAgdqhecWaUX19McRh3z7p+uuH337JkjyIKp5WEUQlabheM+4RJhRnNxwYqF2XekqVp3dPj1EOoNK68vl6wVKxDlh5GGC9XlfFx+FHxtgMDdUPHoun9daV/+71ZsJM/8ONblMc4pbqtxTDJHrEARNnlk+08ehHx7rBwSjkfccd0fPp9tvj/PHj0g03xJL09sYQvDPPjOWss6TTT6/2oIBZPtw/za43OBj7Bn19sRw8GN+lUnwP1wugpLwH1KJF+emiRdSAAgCMrBW7nuP9acJPGmAMirWjli8ffr17855RaXrlpNwz6uTJuH29YXrpR22j3lFVDbXp6Ijntnx57bCG5MgRaceOWMo9og4fjp3pgweln/98+G2XLq2dLa/YO6qqICoxG/1U7UNDtSFUWorrjh2Ly/V6TKVi58UQKvWiKq4vXtcshKjX46ocbqX7S/dVXlLNkOmkOAStWXBU3qZYXLvo1Km8J9LgYP73S+vLj1OuF5aGZ/b0RG+JeqEhQ9yA9ujsjADpjDOkxz0u1g0OxtDw22/Pl82b43v1pptiSbq6pA0bakOoM85o3qt2PG0sD+8/dSqv/3TsWHzfp/pPxQAq7WukIXhpKF/qAZWCqFSgHAAAqTVh0yclvbIF9wtgDFKthkY1iRqFUWkp94wq94hKS7mAeQpWymFU6hlV5dHbhQtjaupzzx1+XV9fHkKVTw8fjp3qAwfqB1GLF+cBVLlnVNVBVFlxNq+RuOcBRgouyucHBuLvnNaVa0xJef2OYmBU77R8vriMFCalIRppqu5Gp+V16bZpqXdZiuflXntab12z69L59LrVUw6KioFRvfXpunoTv6YQKYWBvb3xnq5XhH66hXXAbNfZKW3aFEsxgNq5M+/5dMcdcf7o0bwI+Te+kd/HaafVBlBnnhkHX6r6POjqqi0+LsVnVur9VA6gijWgUgCVipBL8T2f7i+FUPPn8/kFALNVK8Kmo+5+ZwvuF0CFRhtGpR3OYgh17Fhcl6Tp0cvD9I4fj55Fxd4e5SF6xZnaenqq2ymdPz+fKagszZyXwqe07NghHTqUL8Ujz0l5aF6xR1SzYuOtUOzFNFqp51S9oCQFV8WhYCmgqteLqmik8KgYNqWgqHi5oyNfipfT8yye1luXQrTiqXv9ZaRti69LuSfSSKFR+nvMmTO6Hl8AZo/OTmn9+ljSEDz3qFuYwqfNm+N0z54Y5nb33dIPf5jfx8KFtb2fzjwzZsKr6vOkqyvvsZSkGXb7+vLTVANKiu/wcgCVDpikHlXlYXgM6wWAmY+PegB1jRRGDQ4O7w1VXIo9QwYH8wAqFT2uN5Neqi00d25tCFV1ENVs5rxjx2rDp+IwvUOHmg/NW7asdlheMYhK9S/abSw9p8qGhmqDqXQ+rU+naUkhVbknUflyuxV7SqWQKw0PTL3xGgVGhEYAJsIsZlxdtUp66EPz9UeO5MFTOt22Ldb/9KexJN3dUfcpDeU744zoUdWo5uNY1ZthN9WNLAZQO3fmteQ6O/MAau7c/DQdRJg3L0KnFETRCwoAZh7CJgDj0tnZvIB5qgWRCpIWT4v1ooq9olIIdeJEBDrFGffSDH4pfEpL6iFVlXnz8lmDytLQvGKPqHT5yBFp//5YirMRJcuWDQ+gploQNZJiEFOlZmFU+vvXOy32Mir2mGq0pB85xVN+2ACYihYulO5731iSkyfzQuQpgNqyJcKeVBeqaOXK4QHU6tXV1Hcr1o0s6u/Pe0H39dUfhpeWci+ojo7Yp0jhU1qq/I4HAEwewiYALVGvFkRSnJa5GESl8+nIqHteqDwFUcePD+8R1dERgU3qEVU8X2XR5JGG5tXrDbVjR1yXgqjirETJZBYrn4qKQ+YAAPX19AzvlTs0FEPtNm+O4CkFULt3x1C8PXukq6/Ot587V9q4MYKnFEBt3Fjdd006ALR0ab6u2BM69YQ6eDD/ru/qqg2fUhiVeo329OT7E6mH1cKFDMUDgKmu6o/prZL2VnyfAGaYetMyJ+4RKh09mgdQxSUNu0rbpSAqFTk/dCivEVUellc8rXondcGCxkFUeda8HTvymfOOHBldsfLisnp1LIsW0TMHABrZuTNC/mItudEsxYkQprqOjvy74cIL8/VHj0botGVLXnz8zjvje7I8G54UxchTQfMUQp12WjWvQb2e0OlgUnH4/aFDEZIVa0EVh+HNmxfr0vfe3Lm1Q/EWLozH4OAFAEwNlf7ccvdNVd4fgNnHLO+dtGJF7XXFouVpOXo0n7Y57aCmGdhSCHXiRIQ5d9+db9PdXVtHonwktUrNZs07cqR+sfJUI6pZsfK5cyN0Ou20PIBK51etqn64GzCTDA7G/9aBA9HLAjNDCoyWLs3rBRaH59YbpttImsgg1XBLS7qcZotMy1QKpxYskM4/P5ZkcFC6667a8GnLFmnfvrwY+VVX5dv39ua9oIpLFbWg0tD4ci+ooaHhM+Tu2ZPXgaw3FG/u3HyonVk+FC/1gFq0aHb0EgaAqcZ8pG9aVMLM1kvaJknbtm3T+vXr29wiYGYZGqoNn44cyS+nnk6poGnakU07s8UheaknVPFIatXD8Uarry/vAVUMo+6+O34cNGMWU2Sfdlosq1bVnl++fGr9MAKqMDQU//MpQEq9BlNh/+Llw4eHhQ0Xu+uKNjR72ptK+zjHjknf/358vo+kXghVnOSgOBPlwEAs6Xy92SlTTbs0CUM639tbu26qOXw4gqc0FG/LlqgNdfJk/e1XrIgQqrhs2NDa5zYwkH9nF7/DiwXJywHUvHl5L+ZikfPiMl1qJgLABLVlLARh0ySZSjtiwGxz4kSETymESks6Ujo42DiEkvIjsMV6EqmoabuGsZ08GcMNdu2K5e67a8+fONH89p2d8YNh1aoYylhcVq2K6yjKiqnAPf4fU1jU7LRYB2Y0OjpiqOqSJdLmzYRN4zXV9nHc4/O9HByNdimGSidPxlLvfVUModJy8mTt7QYGamfdTN8nKYQqL1MljBocjIMbKXxKy+7d9bfv6JDWrRseQp12WmsP1hQLkqfv7hMnansxF3swpwNI6WBLd/fwWlCLFk2dvwMAVISwaSabajtiAPIQqryknlCDg8N3YosFzNNsPHPn1k7x3O4eQ+4xPCgFT3ffHT8Qdu+O83v25M+xmcWLI3xatizCp3S6fHm+zJ3b+ueDmSUNhz10KHpUHD5c/3xxiFujHhaNLFwYAdLSpbEsWVL/8qJF+f/rxRcTNo3XbNjHGRzMA6T+/nzyiv7+4bOplj9fi+FTum26XX9/bZDV2Vk782oxiGrnAY6kry96QaVly5Y47eurv31vr3T66bXLpk3xfdKq51LuxZy+x/v74/pUz7EcQvX25sHYnDn1e0JRlBzANEXYNJPNhh0xYKY4fjxCp8OH89OjR/Oj0ydP1oZPaYe2XNR0/vzandipYmgor2FVnLFoz5788kg9o5K5c+NHQ/oRXzyflnTUmJ30mSkNXUsB0Ugh0uHDYw+PpHivNQqOiqeLF4+vVwJh0/ixj1Pr1KnhdQNTj5v0nVEMmE6dqg2sigHWwED+3ZJ6RaUaRSmQmjMnwpN2cY9C7Cl4SiHU9u15D+KyhQsjeEo1oVIQVUU9qEbSrHjlEKpYDypNIlKuB1UuSr5gQV6QfMECekIBmPIIm2YydsSA6S3VhCqHUMeO5dcXd17TFM/FehKp91NxOF67j1LX4x7hwe7dURuquOzdGz8q9u4dXU2Uovnz8yEKIy0LF8b2BFStVZwRqt6PsHo1Uvr6asOjI0dqhwmNVnd3BEOLFuWn5fPLluXhUqtrqxA2jR/7OGNXnoktfWek/7e0ez40NDyASkux3mDqEZVmXU2hSW9v+3rbpqF4d94ZNaDS6Y4djT8zli/Pg6cNG/LzrSzwfepU/c+61EOto6N+CFXsaVbsCZWCqIULCaEATBmETTMZO2LAzDQwED+2i702Dh/Od6T7+/Mf6OkHRbErf+r9VAyipsu0zceORfB04EB+Wj5/8GAEV+P9qunpqR2iWOwtls6n2ifd3flQk+L5Rkt39/R5rd3zYsXFejLp/dUsLKp3ubiMJyiqZ968PCxavDh+aKXz5SBp8eL4cTaVwlbCpvFjH6da6eBFmnU1BVHpfPqfHRrKh/OlHlTptDiUL/WCSmFJCqPaFYScPClt2xbBUypGfuedcRCjkRUr8p5QxTCqlSH0SEXJyyFUOl/8bOvtrQ2gUk8oCpMDmGRt2ePimDEATEB3d/S+WLYsX+cePwrKQ4hSyHTqVO2R7KNHYyfbPe/Gn4KnFKhMxaOjqY0j/a4cHMx7wxSX1Dus3pLqf6Q6JwcOtOY5FGeO6unJe1KZ1QYhY7k81lNpeIhU77TVx4aK04kXj96X16VQqdwLaSq+R4HpqKMjPvvnzx9+Xap5dvRofIekGVhTEJU+J1JvnWIAlYZPp226umrDkrS0ekheT4901lmxFPX1RQi1ZUseRm3blvem3btXuuaafHuzKEC+YUPeCyqdryLM6e7OC4gXpR5mxQCqODmB2fDwqVwTqrs7D56KIdS8eVMrhAeAiSBsAoCKmeU7juvW5ev7+2tr2hw6lIcqqZZECqCOH48fBukIdipmmgKoqVYHqpnOzjyQGK1UnD29FuWhJsXXKs341N+fF+Jtdr7YkyfNINWouO1UZZYHZc2CofK6RtfNmTN9enkBs1kKMupNzpCGe6cAqriknk5pWF4KSU6ciNvs25d/NnZ21gYlkzUD6/z50j3vGUvR0aMRPBWXO+/MJ8LYtUv60Y/y7c1iVtViD6gqQ6hUsH3x4tr15Z5QJ07Ed3167YuFycuvbxrq2NGR7z+koefpcrsnHwEwfZmpy12jmB6oWpWGTWY2hgmHh3F3b0v4ZWYPkHSppEdImiPpDknvdve3tqM9AGam3t7YAV61Kl936tTwAOrIkTjynI5gF0OWPXui3oUUO57lmfCmwmx4VejszGteVG1wMJ8RqhhSpVmh0lH/4mm9dY1Oiz2Q0uV664q6u6OXQbPT4vmODo5+Y3TYx5k9Ojoaf26m3lBHj8Z3TDqfJoNI9dvKw2wPHGg8bCwtxQLarbBggXSve8VSdOhQ3gMq9YLaujXWp5lYiyGUlIdQqSfU+vVxvoqaUI16Qg0MDC8Wv29f7UQJ3d31h+MVe5nNnZsHT8WFIXkA6unryycDkvSrkr4w2W2oOtyZyFdNe4pWmT1R0hWSrpX0eklHJZ0liYIDAFquqysKoi5fnq8bGsqHmBWDqHR0tFhY9vjxuH737nwYXm9vbS2oyRgWMZ10dua9xICZjH0cJKlO04oVtesHBoaHUEeO5JNfSPVDqGbDxoohVCt7TKaacOefX7v+0KHaXlDbtsWSvit375Z+/OPa26xYUdsDKi1VHPBIIVT5vgYHh9fbKn6fS/V7mc2ZU/vadnXVD6Hmz6fHKjCbDA3FsOPduyNkSjNpHz4sSdrUjjZVGja5+7CPNDN7s6SXSPovSR+UtDm7apOk50t6saT/dPdXVNmW0TCzRZI+pEj5nunuFZVJBYDx6+jId6I3bIh17rHzX55GPs0IV5zSOdXuKP4Y6OqqnQUvnbIjCsxM7ONgNLq7paVLYykaHKwNodJSrAtVLE6elvKwsXJQMhnDdhcvlu5zn1iKij2htm2Ttm8fXhPq2mtrb7N0aW34dPrpMTx+yZKJ9+ZKs9SWa3OloY7lIKrYyywNySuHUHPn1tYenDevfhDFAShgZjh5Mg+Xdu+Oz9+TJ+Pz7uDBOM2GSC9tfk+t0dJha2b2Akkvl/QEd/9m6eqfSvoLM/u8pK+Z2S/c/X2tbE8dz5F0mqS/c/chM5sv6Tg7ZACmmjRz3fz50po1+fqBgeGFyNORDCl2WIv1jooFYlMvqPKQCOr3ADMC+zgYt87O/KBH0dDQ8F5QKZRKIVSqXVRcjhyJ9VJtUFIOolo5DLxRT6ijR/PeT8Vlz558ZtWf/az2NgsWxBC8devyoXjr10fB8ok+h46O/PUoh4DptT1xojaE2rUr36ZY+L3cGyoFZMUC5cWeUPSGAqa+w4fzocJpAp2jRyNcOngw9vfT74a1ayMcV2Qvk67VNZJeIul7dYKmX3L3K83su5L+WNJkh02Pl3RY0joz+6ykcyT1mdmHJf25u58Y7R1l0/42s3rcrQSABrq7o/t/cWhE+jFQrAF1+HA+G16xF1QairdnT+0PgUbTObMTCkwb7OOgch0d9Sd8GBqK75NiL6gjR6KnbTr4UZ4h7/jx4bWL0gGQ8pC8VoZQCxZI550XS9GxY9Jdd9X2hNq6NR+ectNNsRR1d8ePuxQ+pdN166rpTdSoLlSqRVgMosqF39N3e/E7PS3l3lDz5w8PoqgNBbTH4GD0vEwB04kTsa7Ye2lgID4nlyyJg9KLF+f/1+3U6ibcU9LnRrHdXZIubnFb6jlb8Rp8ThF0/a2kiyT9qaQlkn5nDPe1reK2AcC4FH8MrC/8ROzvj9CpWA+q2AtqpKPRUvwQKAdRc+Yw7T0wBbGPg0lTnEWt2PvWPZ8hr9wbKg0JKx4AadRbp1hAuxhGtfK7Z9486eyzYyk6eTIm6ti+PR+Kt317BFMnT8ZMeXfeWXsbs+j1VCxOnobmVTGzbLNahMWaWymQKh5gkuJ1LIZP9XpDdXbmwVP5lH0AoFrHj+fh0t69sa9+4kTeeylNJjR3bhxwXrIk/h+n2uQxrQ6bTkm6z4hbSedn2062BZLmSXqXu/9Ztu7TZtYj6cVm9mp3v7UN7QKAyvX2SitXxpKkWlDlo9HFEKp8NPrEidrheFLshKYgKu2gplNqQwBtwT4O2s4sD6FWF/q/pdlWiwFUWlLNp1RAu9gTqlxAuzxkbM6cCFx6elr3o6unR9q0KZaiwcEIcdIwvGIY1dcX4dmuXdLVV9e+PqedVhtApVnyqupJ1NMTS3lIZPH1bdYbqvjdXlyK3+09PfVrQ1EbEhgd93zf+u6747MwjVQ4eDCu6++P/8lFi+JzYsmSasLqVmp12PRDSU80sz9rNMWumf2pIpD6covbUk9WWlcfK63/b0Xh8odJGu2O2IYRrl8t6UcjbAMAk6pYC6r8Q6Cvr7YeR1rSD4FiEdO09PfHEZiBgfzHQNpZ7emJ07Sky93dU+9IDDADsI+DKSvNYDd3rrRqVe11x4/XBlDpfOqJk757igdByiFJR0f9XritHA7e2Rnfo6tXSw9+cL7ePX4spmF4qUj51q3RyziFUD8q/QetWhU/KNOycWOEUFX9uGxUoFzKe0Ol7/XU2+zkycYHmYqvcxr2WCxSXu4RVew1BcxGAwO1xb0HBmJJvZcOH45QuLs7gqUlSyJoauWw4qq1Omx6naJmwL+b2bMVOzjF2eieq9jZOSXpDS1uSz07JN1b0t2l9buz01FXbXf37c2uNz5NAUwjxaPRZSdO5Dv/fX35UpylKP0YKC99fbHDeupU7WOl4KneaXf39PpiBaYI9nEwLaWAqNgLV4rvkHrD8U6cqN2mPEPeoUO1M+SVZ3FL51tV38Qsn/Gv3gx55QBq27a8B9fu3dKPf5xv39ERYVYKn1IPq9Wrq/2ebNQbqt5BptRDbTTD8np68rAvhV31giiG5WEmGhyM2S/37YsDswcP5gd3U8DU1xfbpiHJS5bUHx47XbQ0bHL3H5jZcyS9V9KFimCpyCQdlfQH7v79VralgZ9IeoKkdZJuLqxfm53umfQWAcAUl3Yei0XJpdgJTUeYi0sqRJ7qc0hx/uTJPIRK50+cyAsdFnV2xs5nCp96e+OHQdoh7u6Oy4RSwC+xj4MZJfWKXb68dv2pU7W9b1OPqOIBkIGB4UPyysPBiwFJMYxq5ZC8xYsjgCqHUIcP5wHUnXfmp0eORL2oHTukH/4w376nJ8KnM87IA6hNm+ofMJqI4kx5ZadOjW5YXk9P/tqmgvDpb1t8PuUAKp1nWB6mi6Gh4eHS0FB8HqVZpA8ezIt7L14cw2oXL545gWvLa5S7+yfM7NuSfl/SoyWlcrV3SfqWpPe5+85Wt6OBj0v6G0kvkvSNwvrfV/S2urINbQKAaamjo3GXfCkCpTT7XXEmvGPHYin2dhoaiu1Pnowv4eJpOrpd7M6fdHZG6JRm7CmeLy8EU5jh2MfBrNDVlQ8xKRoaajwcvFicfDyzuKXTVn2PLFok3fvesSRpOF4Knu68U9qyJU5PnpRuvTWWopUrI3QqhlBr1rSm3V1djXtEnzw5PIg6eDBe+/Q9noY+1luKvc6Ks+UVg6g5cxiWh/YaGor39d69sRw4kIdLaXKeI0fi80aK9+zy5Xlx75kYpE7KhHjufrekf8iWKcPdrzWz90t6oZl1KcKviyQ9S9I/ufuOdrYPAGaS1Aup/IMgSbPhFQOp8s5psXdUuk1aTp2qvTwwED8a0nXlYKqjozZ8SsFU8bS4EE5Nf0ND9d8nWdB5ZpubVyn2cTDbdXRICxfGUpSKkxd7QqXz/f35dsXhYun7qN4sbuUZ8srFs6tSHI53v/vl6wcHo+bT5s0RPqVl9+5o7549tfWgUoHzM8+MEOrMM+NyKwsNp+//RYtq17sPf537+4e/zqkQfL3Z8srD8ooBFLPloZWGhqI3/t69EVDv3x//j6dO5T0sDx+O/Vop3q+LFklr18bn0myYQGdSwqYp7o8kbZX0Akm/IelOSX/u7v/RzkYBwGyTQp/yzmhRcShEsSh5eSkPw0u3LQcNxcvHjuXr0hHtIrPGQRQBVfs0C5AahEo10hBNSTNxt499HKCkWJy8XBdqYCAPnoq9oo4dy78XBgdrD4bUmyWvs7M2GKkXjlSls1Naty6WRzwiX3/0aG34tHlz3gvqlltiSTo64vZnnhnLWWfFadXD8MqKvcbK6vU6S8Mf04GnRsPyyoFfb+/wEIrZ8jBW7sPDpVOn4v2YgqXDh+N96h7vu4ULo6bawoVTf+a4VjAvH+ptxYOYLZL0u4q6TSslfd3d35Rdd46iWPi33f1EwzuZ5sxsvaRtkrRt2zatX79+hFsAAMarUYHyYp2o4rqydGSqvKTAot66el+nHR15mJECqTTUrxhQpXWdnfltZquhoVjS32AiAVKxzle9IZVdXfkPjYsv1sXuumJyn+3MwD4OZjr3CJyKk2OkICod3Ei9dMo9c48frw1HigHUvHl5SDIZQ8AGB6WdOyN4uuOOfDl0qP72q1dH6HSPe0QAddZZzQ8ITZZyDa70uheH5aXZ8sohVHm2vHo9oRYupDcU4r10+HBec2nfvjxcOno0D5dSfbh0wDQtUylcatc+Tst7NpnZExWz0C1VFAR3Rb2m5FxJn5X0O4r6AgAATEizIqZlqT5UsVdUCqGKtaKKS72eT6MJqNJQwWYBlRQ7wB0dtQFUOYxKQUnaNt2uuKTXIp0vX1/edqTry69bCoXqnTY6Xzytd5tGr0k5LJo3b+QAKUk/Opotqq1rBAC/lEKJ+fOjgG9RqiNYXtLQGSn/7C8uhw/XzpKXvrOKQVTVP1Y7O6X162N55CPz9fv3R+h0++356e7dMTxv1y7p+4VpnFatyoOns86KIKo8a12rpc/78hDJ9H1eHoZ/+HD94Y/FEKpcDL6nZ3hPqAUL4u9CbaiZKU02cOBAHi4NDMQ+Sl9fHi719dWGS6tWxXuxXg+92a6lYZOZnSfpM4qu6f+pqBdweWmzr0g6JulpImwCAEyyYlHS0Tp1angA1WhJYVWzgCqdFkOY4uV0PoVUxZDGvXFAU6VieNUsFCrq6MjDsRSUpctpCuxigFY+Lfb+Gk+AlJbRTGnurr6xvyoAZrtGs+SlH6jFmlDpfHGWvPKkGQcP5j2hOjvzgthz58bpnDnVD/1atiyWBz0oX3fkSARPt90W4dPtt0evqN27Y/nBD/JtV66M0Ckt7eoB1ez7vNFseXv35n+PFPqVa0MVe0OlyVDKvaEWLKA31HQxNJT/P6ai3WkGy+L16br0P9vVFe/r5cvjdDQHNGe7VvdsepWkOZKe5e6fliQzqwmb3P2kmV0n6X7Dbw4AwNSThsHNmzf62zQLqMq9n8o9o+oFVWUpdCoujdaPdTspb4N77JA3C4lSqDTS0d90P+WhhOm0p2diARIAtEtnZz6cpqg4S15xSb0lpHxY2LFjsf7AgehhJOWBSDGAmjev+uHXCxdGIfJiMfKjR/OeT2m56668EHkxgDrttOEBVKtrQDXTaLY893y2vBT81StSnnpDlUOoYu+znp7hM+WlHnGzeXh8uwwNxf9QMVBq9r9W7Hnonv8Pb9iQh0v0ahubVu+qPUbST1PQ1MR2SfdqcVsAAGib8QRUSSqCXS+MSr2M3GvPj3R5ItelYX2NQqLidY3W1+utBAAzXaNZ8sq9LdJyIqtoOzgYP4jTUu6VM2dOHmy0KoBasEC6731jSY4di9DptttiufXWCMbuvjuW730v33btWunssyN8OvvsCKDaXdfGLD+IUR4OWK8Y/JEjEUSl173Ym6q8FA+KpGCwGETNmxcL34UT454PTS2GSkeP5gfK6s14XKyn1tmZ/41WrIj/T4ZMTlyrw6aVkr47ynbMb3FbAACYljo68qmjAQAzT0dH3hNq3bp8/cmTUcD78OE4PXQo75kxNJQPB0sB1P79eQ/UuXNrw405c6r/8TxvnnSf+8SSHD06PIDavVvasSOWb30rf86nny6dc04eQG3cOHV6rnZ2Nu4NVSxK3qg3VFdX3vupWCOqt7c2CJwzJw+e0pICw8kqHj9dpBpc5Z6BKTQ6dWr40NTjx+vXR1uyJK+PVqzXheq0+l/5kKR1I24lnSlpd4vbAgAAAADTRk9P1ERauTJfNzhYGz4dOhQ/uNNEC8ePR+CTihrvzn5ldXYOrzfUimBnwYLhQ/AOH47Q6dZb8wDqwAFpy5ZYvvrV/PmeeWYET2efHUHUmjVTKwhIswrWqw01OFg/iCrW4pKaDxMvHljq6MjXp+CqvKT1M2GoXiryniZuSb390pLCvNTrrBwspeuLMz+mIXCEd5Ov1WHTNZIeZWanu/vWehuY2fmKek2faXFbAAAAAGBa6+yUli6NJRkaih/jBw9GiHPwYFyWolfHsWN5ALVnT/QwkuIH+cKFefjUqqLHixZJD3xgLFL0Dtq3Lw+gUgjV1yfddFMsyYIF0fPpnHPyEGrZsta0c6JSUfd6Q+bTbLcpgOrvj546hw7V9ohKvZmL4VNxxtWenvpD0bu66odQxcvlcLEYvDQ6P5bt6l1fnvW3eL58ufg6SHnvvXJPpf7+fJve3ni9V67Mey21opA+xq7VYdN7JT1R0sfM7Bnuvqt4pZmtyLax7BQAAAAAMAYdHVFzaPHiGIomxQ/3Q4fy8OnAgfxHen9/7Ux5qf5TZ2cePi1cGD2hWvGj3Sxq46xYIT3sYbFuaChmvEvh0y23REHyo0el666LJVmxIu/5lOpAjacm4mRKgVG9QumpR1R5OXo0wpg0DKwoTaSR7rfZMpW45/UnBwaGny9fTvWxenoiSFq6NO+pVJwpEFNPS8Mmd/+kmX1C0rMk3W5mqUTcw83s85IukrRA0kfd/SutbAsAAAAAzBbd3Xmgkxw/HqHTgQNR3+nQofgxPziYB09HjkTos317hEIpeFq0qLUzq3V0RL2qdeukiy6KdQMD0tatETzdckv0ftq6NcKxvXvzGfDMpPXr8/DpnHMidJtqQUsjzXpESXlA02g5eTJ6hQ0M1A7Xk+K16eqK16L4t2s2nGwsPZlGul257eX2SfnEISkcmzcvTnt68lBpqtTymi4GB6Wbb5Z+8pP2tcE8RYWtegCzTkmvk/RySeWOmSclvU3S37h7nbfdzGFm6yVtk6Rt27Zp/fr1bW4RAAAooIrDOLGPA0xfg4MROO3fnwdQJ09GQHDsWG29nFOnIkCYPz+Cp9QDarJ7lhw7Fj2ebrkl7wW1u0713+7uqP9UDKCmWv2nVhgcHN5T6OTJOE2zs5UVI4Fm8UCz7ZrdrjgMsHiaztM7qRpHjkjXXCP9+MdxmobSSrrYXVdMdntaHjb98oHMlkp6jKIYeIdip+Tr7j4rCoOzIwYAwJQ2w39+tA77OMDMcvRohE7790ddpWPHYn15evmBgakRPkkRlN12W94D6tZb43mULVhQW3z87LNra18B04m7dOedES79+MdR66wYKM6fLz3gAdJ3vjPDw6bZjh0xAACmNMKmcWIfB5jZjh+P0CktfX35+iNH8gAqhU8LFkT4lIbdtaNQs3te/ykFUHfcMbwAtRSFpYsB1FlnTf36T5i9+vuln/1M+tGPImDau7f2+o0bpQc9KIrxn3dehL8XX9yesImRjwAAAACAuubOjXpIKUc+caI2fEo9iFLPp8OHpV27pLvuiqAp1XtavDjuazKGsZlJa9fG8uhHx7qBgegFkno+3XJL1KXasyeW738/v+369bW9nzZtmj71nzDz3H133nvp+utjWGTS0yPd974RMD3oQdKqVe1rZ1mlYZOZnT6R27v71qraAgAAAACo1pw5eSFvKQ+f9u7Nez65x2kKn+66S9q2LerzpF5PixbFfU2W7u6Yte4e98jXHTsm3X57bf2nPXuirdu2Sd/4RmzX1RWBUwqfzj47nj+1htAKp07FkLjUe2nbttrrV67Mw6X73lfq7W1PO0dSdc+mLZLGOy7PRU8rAAAAAJg2yuHT8eMRPO3ZE6f9/VFH5ujRPHy6884IpHp6osdTCp8mu/fQvHnSfe4TS1Ks/5QCqCNHYt1tt+XbzZ0rnXFGhFdnnRWna9cSQGF8Dh2KmeN+/GPp2mvz4apS9BC85z2lBz84AqbTT58ehe6rDne2avxhEwAAAABgGps7V9qwIRYpQqYUPO3bF8PZBgfzek+HDsX1UoQ/KXhauLA9wc3SpfGj/sEPjsvuMYwpBU+p/tPx49LPfx5LMmdOzICXwqezzqIHFOpzj/dR6r106621M/otXBh1lx70oCjyvWBB+9o6XpWGTe6+qcr7AwAAAABMXwsWxHLGGfFjOoVLe/fGjHdDQxFApeBp376o+WSW13tKxcbb0ZvDTFq9OpZHPjLWDQ5GvafbbotheLfdJm3eHEMK6wVQ5R5QBFCzz+CgtHVrhJU33RS9l/bvr93mjDPy3ktnnz393yMMWwMAAAAAtJyZtGRJLGefHT/A9++P4GnvXungwdguFRs/dChmldu+PX54L16cD7trZ52azs6Y9WvjRulxj4t1g4NRm6oYQN1xRwRQv/hFLElvb9z2zDMjYDjjjKgJNZk1rNA67vF+vvnm6LF0883xnujvr91uzhzpfvfL6y8tX96e9rYKYRMAAAAAYNJ1dkax45Ur4/LAQF7vac+eKOA9NBT1aw4digBqy5b4Md/bm4dPCxdGEe926uyMWjqnny499rGxLgVQKXxKAVR/f/RwueWW/PZpBr0UPp15ZgRSy5dPj/o8s9nRo7XDLG+5JQ9Oi+bOzQvM3/e+0vnnz+xZDgmbAAAAAABt190trVkTixQhU7HY+MBAzNR15EiET4cOSbt3Rxgzf370eFq8OM53dLT3uUi1AdRjHhPrBgejt9bmzRE8bd4cAdr+/RFM3XWX9N3v5vcxd24Mu1u/vnZZs2ZmBxVT1cBA/L1SqHTLLfE3K+vsjN5qZ58tnXtunK5fPzXel5Ol5WGTmXVL+jNJz5J0rqRFDTZ1dyf8AgAAAABo/vxYNm6M3kwHD+a9ng4ciHX9/fmQu7vvlnbsiB/6qd7T4sUR2EwVnZ15YJRqQEnxfLZsiQAqne7YEUMKyzPhSRFarF49PIRav356FpOeitwjGEwzE958c/xdTp0avu3q1REonXNOLGee2d6hnlNBS8MdM+uV9HVJD5M0Uuc/OgcCAAAAAIYxi5nili6NH/OnTkUx8RQ+HT0a4UBfXx4+bdsWRZl7evJaT4sWTc0eQem5XXBBvm5gIAK07dvjuWzfHr1otm2LEGrHjliuvrr2vpYsyYOndetiZsB166Rly6bmc58KBgcjzLzjjjxYuvXWeF+VLVxYGyydc068r1Cr1T2JXibpQklfUfRu+jtJz5M0R9LZ2fmXS3qTu7+mxW0BAAAAAMwAXV3SaafFIkUh7hQ87dkjnTwZAcKRI3n4tGdPbDtvXl7vacGCqTu0qbs7D40e+tB8vXsMuyuGT+l8KrR+8KB0ww3D73P+/AijFi/Oi7WXL6fzc+dO73pR7vH3P3gweo7VO03nDx+O+mBl3d3RS6kYLK1ePb1fl8nS6rDpWZKOSPptdz9kZi5J7j4g6eeS/tbMvi/ps2Z2vbt/ssXtAQAAAADMMHPmRA+eDRvykCEFT/v2RZBw8mReaHzv3hgiZVY75G7evKkfJJhF4fDly2M2s6JjxyJ0KgdRO3dGb7C+vljq1Rkq6+kZOZBKy2SFdu7xHMthUb0A6dCh+kPeGjGLHmDFOkubNtEbbLxaHTadI+kqdz+UXXZJMrNOdx+UJHe/wsyulfSnkgibAAAAAADjZpYPmTvrrOjhtH9/Hj4dPhzbHTuW93rasSNCmc7OPHhatChCrOlk3rx8xrMi9xgSdvBgPN8UyhSX4vr+/gjndu+OZSSdnXlvsWIg1dsbf48URHV05JfNas8X1w0N5e0ph0gDA2N7TRYurA3G0pDF8rrFi+N5oBqtDpu6Je0pXD6enS6SdKCw/mZJT2pxWwAAAAAAs0xnp7RyZSxSBCnFWe6OH49wo68v7/l0550R0PT05MHVokVxeTpKPbgWLozeXyM5caJ5GFU8f/RoHujt39+651A0b14eEKXgqHyaFnomtUerw6ZdktYULu/MTs+T9P3C+rWSyBABAAAAAC3V2xvDpdati8t9fXnwtHdv9Jwp1ntKw+6k6OlUDJ+6Zuh86nPmRG2i1atH3nZgIF6jeuHUwECEdkNDcVo+3+g6Ke8lVQyP0vnZPtPbdNDqf41fSLpP4fL3FbPO/ZWZ/aa7D5nZoyU9UtI1LW4LAAAAAAA15s+PZdOmCDpSMfF9+/J6TylQScPu0tCyefMidEq9hmZq+NRMd3deQwpIWv2v8BVJTzKzh7j71ZKuVBQGf6qku8xshyKMMknvbHFbAAAAAABoyCzvRXP22RE07d+f93o6eDACqf7+CJ6OHInrd+2K2xM+AaHVb/3/lrRP0iFJynoyPV3SpxQh02mSBiW91d0va3FbAAAAAAAYtY4OacWKWKSY3Wzfvjx8SsXGU/h0+HBcv2tXBFfz5uWz3S1cSAFqzB4tDZvcfa+kj5bW3SbpfmZ2rqRlkm5x932tbMdYmNnfSXqDpBvd/fx2twcAAKAK7OMAwMR1dUmnnRaLFMPr0nC7Yvh04kRe86kcPqXgacECej5hUnS040Hb9tZ295vb9diNmNl6Sa+S1NfutgAAAFSFfRwAaI3u7tpC2idP5uHTvn31w6e9e6WdOyN8mjs3wqcFCyKAYuY0VOH48XzGQEkPkPS5yW4DOWqtN0v6oWJmvBVtbgsAAEBV2McBgEnQ0yOtWROLlIdPe/fG6ZEjsT6FT0eOSAcO5DWf5szJ6z0tXMisaxidNHtiCpj6+2MI6MKFkqRt7WhTS8MmM3uppLdIerq7X9Fgm6dK+qykl7j7f7WyPc2Y2aMkPVPSBZLe1q52AAAAVIl9HABon3L41N8fodP+/bU9n06ezMOnI0diNjwpejotWJAv8+dHiAD090ewdPBgvI/cI5xcvDgK3BdqhG1uR/ta3bPpaZL2SPpCk22+KGmvpN+Q1Jawycw6FTtf73X3681sPPexfoRNVo+nbQAAAOPFPg4ATC29vdLatbFIUfNp//48fEqz3Z06FaHT0aOx3HVXzIxXLDo+f34EUPR+mh2GhuK9kAKmEyfi/bBwobR+fQRMc+dGGLlsWdQVW7VKctfX29HeVodN95R0g7sPNdrA3QfN7HpJ57W4Lc38kaSNkh4/gftoS9c0AACAJtjHAYAprLu7tuD44GAMq0u9nw4ejODJXTp2LA+fikPvyr2f5s1j1ruZ4uTJfGjc4cPx/ujujmBp/froxdTZGcMvV62K99GKFVOj8Hyrm7BS0rdGsd0uSQ9vcVvqMrPlkl4n6fXuvqcdbQAAAKga+zgAMP10dkZYsCKrruee13VKy9Gjcd3AgNTX17j3UzGAovfT9OAef8sUMB07Fn/P+fNjKObixXHeTFq6NA+YFi1qd8uHa3XYdETS2lFst1bSsRa3pZE3SNqvidcw2DDC9asl/WiCjwEAADBa7OMAwDRnFkHCokXSxo2xbmCgNnw6cCDv/XT8eD787uBB6e674zbd3RFSzJsXQ63mzo3eMNR/ar+Bgei1lIbHDQ5Gz6TFiyNgWrQo/n49PREupWWqz1zY6rDpp5IeYWYb3L1uF2wz2yDpQsUMKZPKzM6W9IeSXi5pbaGOwRxJ3Wa2SdJhd98/0n25+/YRHmtCbQUAABgt9nEAYObq7s4DBynvDZOCp/376/d+6uuLwuMDA3GdWQROxQBq3rwINfhob500JDL1Xkp/q3nzopfSkiV576XFi/PaS0uWTK+/S6vDpv+W9FhJnzazp7r7ruKVZrZa0qckdWfbTrZ1kjokvTVbyjYrZtN7+SS2CQAAYKLYxwGAWSIViV64UDr99Fg3MBBBxv79EUAdPJiHTKdORQ+oY8fy09SjRoqhfCl8SgHU3LlTvyfNVHTyZLzGaUmv+dBQvM6LFklnnBGhUk9P9GhauTIPmKbz8MdWh00flPQCRT2m283sC5Juyq67p6QnS5on6QeS3t/ittRzg2IWvLI3SFoo6WWSbp/UFgEAAEwc+zgAMIt1d0dosXJlXC4OsTt8OD89ejSukyIYKQZQfX3S3r359V1defBU7A1FMfLhAV46nwK8jo68F9myZflMgh0dERKmcGnp0pkztNE8vXNa9QBmiyR9QPkOT3rA1AHsc5Je4O4HW9qQMTCzKyWtcPfzK7zP9cpmc9m2bZvWrx9pFmEAADCJplHH9PFjHwcAUDQ0FKFSCqBSCHUsq6jsLp04MTxI6e/PQ6je3uEB1EytBzU4WL+nUnloYvn16O3Nh8DNnx8BUxoKOXduy5vdln2clk+I5+6HJT3DzO4r6dcU0+9K0lZJX3b3n7a6DQAAAAAAoFbqWbNwYe36U6fy8KnYG6q/P64fGhoeuNSrBzV3bgwPSwWui6dTuUfU0FAeshWfZ3r+ZvE85s2L3mMpXOrtzUO2OXPy13bRovz8VH7eVWp52JS4+88k/WyyHm8i3P2idrcBAACgauzjAABGo6srhnQtXVq7vr9/eAB15EiEU9Lw4WQnTsT5gYF8SFnS2RmP09MzPIhKYZR7vkiNLzc6X++6oaHG26f2nziRX9fdHWHS0qW1taxSaNTdXRsmpfOzvcbVpIVNAAAAAABg+urtjWXFinxdvXpQR45EPagU7EgRNg0MRG2ogYHa8ydPxvanTg0PpcYjDVkzG9351BupszMf4paGwXV11V5X7qk0Z87E2zsTTWrYZGZdioKUT5e0QtJ2SR9z93YUBwcAAAAAABNgFsHMvHlR6DpJQ+36+6OnUHEprku9opIUSg0NjT00Kl4er46OKN6dwqQULs2dO/H7nk0qDZvM7DclvUvSe9z970rXdUj6gqTHKy9Qda6kx5rZo9z9kirbAgAAAAAA2qOjI4phz5/ffLtTp2rDp3R+cDDvcVTsfdTRURssVbV0dETvpXnzZmZx88lWdc+mx0haLumTda77A0lPyM5/XtJXJZ0u6aWSnmdm/+3uX624PQAAAAAAYIrq6oplpFAK00vVYdOvSNrp7tfWue7FklzS/7j7c9NKM7taEU49TxFAAQAAAAAAYJqqunPYGknXlVea2QpJ988u/kvxOnf/tKQtiqAKAAAAAAAA01jVYdMKSQfqrH9wdrrH3a+rc/3PJa2tuC0AAAAAAACYZFWHTYOSVtZZ/4Ds9JoGtzuoSZ4ZDwAAAAAAANWrOmy6U9IDzKyntP5xinpNVzW43QpJd1fcFgAAAAAAAEyyqsOmbypmo3t9WmFmj5H06OziFxrc7gJJOypuCwAAAAAAACZZ1WHTf0g6KekVZrbNzK6R9JXsuqvc/cflG5jZwxRD7xr1egIAAAAAAMA0UWnY5O63SXqupD5J6xQz0HUpei09v8HNXpydfr3KtgAAAAAAAGDyVV6U290/bWbflfTrkk6TtFXSZ929r8FNrpZ0raRvVN0WAAAAAAAATK6WzADn7rslvX+U276zFW0AAAAAAADA5Ku6ZhMAAAAAAABmMcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlZnXYZGYPNrO3m9mNZtZnZlvN7ONmdk672wYAADBe7OMAAIB26mp3A9rsryU9XNInJP1M0mpJL5V0jZk91N1vaGfjAAAAxol9HAAA0DazPWz6N0nPcfeTaYWZXS7pekl/I+l329UwAACACWAfBwAAtM2sDpvc/ft11t1qZjdKOq8NTQIAAJgw9nEAAEA7zeqwqR4zM0mnSbpxjLdbP8Imq8fdKAAAgAliHwcAAEwWwqbhnitpnaRXj/F221rQFgAAgKqwjwMAACbFrJ6NrszM7inpHZJ+IOmDbW4OAABAJdjHAQAAk4meTRkzWy3pC5IOSXqmuw+O8S42jHD9akk/Gk/bAAAAxot9HAAAMNkImySZ2WJJX5K0RNIj3X3HWO/D3beP8BjjaxwAAMA4sY8DAADaYdaHTWY2R9IVks6R9Hh3/3mbmwQAADBh7OMAAIB2mdVhk5l1Srpc0sMkPc3df9DmJgEAAEwY+zgAAKCdZnXYJOlfJV2sOOq3zMx+t3ilu3+kLa0CAACYGPZxAABA28z2sOn+2elTs6WMHTEAADAd3T87ZR8HAABMulkdNrn7Re1uAwAAQNXYxwEAAO3U0e4GAAAAAAAAYOYgbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlCJsAAAAAAABQGcImAAAAAAAAVIawCQAAAAAAAJUhbAIAAAAAAEBlZn3YZGa9ZvZGM9thZsfN7Coze0K72wUAADAR7OMAAIB2mfVhk6TLJP2FpI9KepmkQUlfNLNHtLNRAAAAE3SZ2McBAABt0NXuBrSTmT1E0m9LeqW7vzlb9yFJN0h6k6QL29g8AACAcWEfBwAAtNNs79n0TMVRvnenFe5+QtL7JD3MzDa0q2EAAAATwD4OAABom1nds0nSBZJucffDpfVXZ6f3l7RtNHdkZutH2GRdOrNz587Rtg8AAEyCDRs2rJe0y91PtbstFWEfBwAAtG0fZ7aHTWsk1dsrSuvWjuG+RrXDJkkPechDxnC3AABgEmyTtEHS9nY3pCLs4wAAAKlN+zizfRjdXEn9ddafKFwPAABmh9XtbkCF2McBAADJpO/jzPaeTccl9dZZP6dw/WiNVPvgdEnfy84/VNJdY7hvVGO1pB9l5x8saVcb2zKb8XeYGvg7tB9/g6mh+HfY086GVIx9nNmHz5Spgb9D+/E3mBr4O7RfW/dxZnvYtFOFOgMFa7LTHaO9I3dv2iXNzIoX7xppe1Sv9DfYxd+gPfg7TA38HdqPv8HUUPo7DLarHS3APs4sw2fK1MDfof34G0wN/B3ar937OLN9GN11ks4xs0Wl9b9SuB4AAGC6uU7s4wAAgDaZ7WHTJyV1SvrDtMLMeiW9QNJV7j7qgpgAAABTCPs4AACgbWb1MDp3v8rMPiHpn8xslaTbJD1f0iZJL2pn2wAAAMaLfRwAANBOszpsyvyepNdLep6kpZJ+JunX3f3bbW0VAADAxLCPAwAA2mLWh03ufkLSK7MFAABgRmAfBwAAtMtsr9kEAAAAAACAChE2AQAAAAAAoDLm7u1uAwAAAAAAAGYIejYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNAAAAAAAAqAxhEwAAAAAAACpD2AQAAAAAAIDKEDYBAAAAAACgMoRNk8DMes3sjWa2w8yOm9lVZvaEdrdrtjCzB5vZ283sRjPrM7OtZvZxMzun3W2b7czs78zMzeyGdrdltjGzB5jZ581sv5kdM7MbzOzP2t2u2cLMzjaz/zGz7dnrf5OZvdrM5rW7bTORmS0ws9ea2Zez97yb2SUNtj0v2+5otu2HzWzlJDd52mAfp/3Yz5ma2MdpH/Zx2o/9nMk1VfdzzN1bcb8oMLOPSXqmpP+QdKukSyQ9WNJj3P277WvZ7GBmn5T0cEmfkPQzSaslvVTSAkkPdXd2AtrAzNZLulmSS9ri7ue3uUmzhpk9UdIVkq6VdLmko5LOktTh7n/VzrbNBma2QfFZdEjSuyTtl/QwxXfD5939ae1r3cxkZpskbZa0VdIdki6S9AJ3v6y03XrF/8UhSW9VfE+8IrvdQ9z95KQ1eppgH6f92M+ZetjHaR/2cdqP/ZzJN1X3cwibWszMHiLpKkmvdPc3Z+vmSLpB0m53v7Cd7ZsNzOxCST8u/vOY2dmSrpf0SXf/3bY1bhYzs/+RtFJSp6QV7IhNDjNbJOkWSd+X9Ex3H2pzk2YdM3uVpH+QdL6731hY/0FJvydpmbsfaFf7ZiIz65W01N13mdmDJP1I9XfC3qnYGb6nu2/N1j1e0v9JerG7v3tSGz7FsY8zNbCfM/Wwj9Me7ONMDeznTL6pup/DMLrWe6akQUm//MO5+wlJ75P0sCz5RQu5+/fLKa273yrpRknntadVs5uZPUrxv/HyNjdlNnqOpNMk/Z27D5nZfDPju2ByLcpO7y6t3ylpSP+/vfsOk+Sq7v//OZM2511po7SSUCIJIRBfiSSiCSIHY6LAJpgfNtgYbAuDicZgTBLJNkECk4ORSCIIJAECgVCWUNZKu5JW2hxmd3Z3Zs7vj1uXqqmpnumZrerqmX6/nqee6q7Qfbsn9OlT954r0XumZO6+z903NnHo8yR9PwZgybk/U/jy8sKq2jeFEeO0AeKc9kKMUytinPZAnNNi7Rrn8MdXvRMl3eTuO3Pbf5esH9La5kCSzMwUPow2192WTmNm3ZLOkvRZd7+m7vZ0oCdK2ilplZndqNC9fKeZfTrpkYDqXZisP2dmDzGzNWb255L+WtLH3b2/vqZ1LjNbJekQSZcV7P6dwuc5RiLGaVPEOfUgxqkdMU57uDBZE+e0kTriHJJN1VuhkMXNi9tWtrAtSL1E0iqFsdxorddJOlzS2+tuSIc6WlKPpHMl/VjhCsfnFX4uX6ixXR3D3c9X+P1/ksK4+TslfU3SWe7+d3W2rcOtSNaNPrMXJ93UkSLGaV/EOfUgxqkXMU4bIM5pWy2Pc3rKfDAUmiVpX8H2gcx+tJCZHSfpk5J+I+mcmpvTUcxsiaR3S3qPu2+quz0daq6k2ZI+4+5xZpbvmFmfpNea2TuS4Reo1jpJF0v6tqQtkp4u6Uwz2+jun6izYR0sfh6P95ldtL9TEeO0IeKcehDjtAVinPaxTsQ57ablcQ7JpurtlVSUIZyZ2Y8WMbPlkn6gUIH/+e4+VHOTOs17FWakOKvuhnSw+D/nq7ntX5H0WoXZQgjEKmRmL1KocXOMu29INn8nqSvxATP7qrtvqa+FHSv+bfCZ3TxinDZDnFMrYpz6EeO0AeKcttXyOIdhdNW7R2mXtay47e4WtqWjmdkCST+StFDSU9yd976FkplxXqMwzeZKM1ubTNM5U1Jvcn9xnW3sEPH3Pl+08b5kvaiFbelUr5d0RSYAi85TuCJLbaB6xG7ljT6zt7o7vZpGIsZpI8Q59SHGaRvEOO2BOKc9tTzOIdlUvSslHZNMxZn1iMx+VCwpCvg9ScdIOt3dr6+5SZ1olcL/nI9Luj2zPELh53K7pHfU1rrO8YdkvSq3PdZWoet/9Q5VmA47rzdZ0+u4Bu5+l8Lv/8MKdp8sPq+LXClinLZAnFM7Ypz2QIzTHohz2lAdcQ7Jpup9S+GP7TVxQ1J465WSLnX39XU1rFMkM4N8XaHr7Avc/Tc1N6lTXSvpOQXLdQqFA5+jMF02qvWNZP2Xue1/JWlQ6QwiqM5Nkk40s2Ny2/9CYUrgq1vfJCS+Lel0M1sTN5jZExS+LH6ztla1L2KcNkCc0xaIcdoDMU57IM5pXy2Nc8zdy35M5JjZNxQ+ZD4i6RZJr1DIHj7B3S+us22dwMw+KumNClf8vpHf7+7/2+o2IWVmF0pa6u4PrLstncLMPifpVQp/DxdJOk3SCyS9393PrLFpHcHMHiPp5woFMz+RrE+X9FSF6bJfXWPzpi0ze4PC8KKVCtMvf0dhlhwpzJCzIwm+rpC0XdLHFIrNvkXSBkkPZxjdaMQ49SPOaV/EOK1HjFM/4px6tGOcQ7KpBZKuze+R9FKFscJXS3q7u/+41oZ1iOSD/rGN9ru7ta41yCMQaz0z65V0pkLvg5WS7pD0SXf/aJ3t6iRmdrKkdyrULViiMMTiHEkfdPfBGps2bZnZOoUpyYsc4e7rkuMeIOnDkh4lab9CseU3u3u+BghEjNMOiHPaFzFO6xHjtAfinNZrxziHZBMAAAAAAABKQ80mAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA0JJsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFAakk0AAAAAAAAoDckmAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA0JJsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBOAcZnZOjPzgmW3mV1lZu83syUNzj07OfaMFje7kuc3s3cWvA8DZnZf8l6cbWYvMbOZZTzfQbRzbdK2dXW2AwCAOhTELsNmtsvMNpjZL8zsQ2Z28jiPcWFy7mkltemM5PHOLuPxCh7/2WZ2npndbWb7zWyHmd1iZueb2dvN7AFVPG+7IhYC6tVTdwMATCm/lnRLcrtL0kpJp0r6J0kvN7NHu/ttdTWuxe6VdH5yu1vSAknHSXpFsnzUzP7G3b9WU/sAAMDI2GWWpKWSTpR0mqQ3m9lFkl5VZ/xiZmsl3S7pDndfO4nzuyV9SdJfJJuuk/Q7SXslHSbpMZL+TCFW+YeDbzEAjI9kE4CJ+Ky7n53dYGbLJV0k6RhJH5T0/BraVYcb3P2M/EYzO0rSOyW9VNJXzWyxu3+qxW2TpLskHS/pQA3PDQBAuyiKXUzSUyV9VNJjJV1iZqe4++25c18uabakO0tqy/9J+q2kHSU9XvQ6hUTTLknPcvdfZHea2WxJp0vqLfl52x2xEFAjhtEBOCjuvlHSfyR3n1BnW9qBu9/q7i9T+p58zMyOrKEdB9z9Bne/tdXPDQBAO/Pgh5JOlnSzpEMlfbbguDuTz9I9JT3vjuTx7inj8TJelKw/kU80Jc+7x92/4e5fLvl52xqxEFAvkk0AyrAxWU+4t6SZvcjMLjCzrWa2z8zuMLPPm9kxY5zTY2avMrOfmdnm5LwNyf2/mcBzP8XMdiY1l140/hkT8jZJdyu8J3/X4PlPMrMvm9mdyWvYamY/NrOnNTh+hZl9zMxuStq8x8zWJ+/fP+SOHbNOgZk90My+nbx/e8zsGjN7k5l1ZepcrM2d86ftZvY4M/uJmW0zs71mdrmZvXwS7xMAALVw9+2S3pTcfbyZnZTdP1bNJjObY2bvMbObk8/wu5P4ZVWmvuM7c+eMqtmU3I49qg7P1ZnyJl/Kocn6viaPj899WvI8F5rZbDP7t6TG00Dyej5nZqsanPtEMzvLzK7MxWJfN7OHNzjnT++LmS0zs08mccz+ZH2WmS0sOO9P71vyvr8/aec+M9toZucUtXOsWCj7/prZ88zsV0lM2G9mv24UiyXHH560ZWPyXt1sZu8ys5lj/c4AnYZkE4AyxAKb1zV7ggXnSPqqQi2BKyR9R9KApFdKusLMnlJw3gJJv5D0ueS8ayV9W9JNkh4s6eNNPv9rJX1foWv1E8uureTuByR9Pbn7pILnf6NCPYUXS9oi6TyF9+80ST8ws3fkjl8u6TJJfytphkK9qPMUAtSHSPqXZttmZo9Nnvu5krZLOlfSPZI+IOkrTTzEqyRdIGlx0o4rFepfnGNmb2q2HQAAtIEfSdqa3B71eV3EzOYoxCL/Imm5pJ9I+pWkp0i6XNLhE3j+XynEMZLUL+mc3NKMOMzvjCROmqg+hc/1N0q6USG+kMLn/WVmdnTBOZ+R9BpJwwp1sb6vMDzwhQrDEp83xvOtUXifnqcQj/xU0jxJb5D0EzNrNNxvgaRLFIYNXq/wszOF4Y6/nsxrN7N3SfpmcveHCj3dTpX0fTN7TsHx91eIx14haUghhrpR0puT19FpQxWBxtydhYWFZcxF0jpJLumMzLYuSasUAoMBSYOSTi849+z8ucn21yXbN0l6SGa7KdQ8cknbJC3LnfftZN/lktbm9vUo1Cpo+PzJ438g2XaLpGMm+F7Etl3YxLEvSY51ST2Z7X+mEJxtkvSY3DkPkrQ+Oeexme3vSLb9lyTLndMr6Qm5bWuT49flts+StCHZ9yFJXZl991fopRbbnH9/4+/B/vzPWtIZyb7tkmbV/TvLwsLCwtLZS1HsMsaxP02O/VJu+4XJ9tNy2z+cbL9O0orM9pkKiYv4OfrO3Hnxs/Ls3PbCz+wJvNZnZ55zu0Kx8L+W9AhJfWOcd1rmvJslHZZ7Ld9K9v2mwXMuarD9gKTN+XggE0O5pC9ImpHZtyYTn/xFg/fNFS5yzc/sW6RwwdIl/XOz72vm8bZJekSDdt5YcN4fkn1fzbV/laQbMo97Wv5cFpZOW+jZBGAivpDpdjykEBScJelqhcTI9yfwWHHY17vd/cq40d1d0ruSx1wo6dVxn5mdoNAbZ0DSM9x9XfYB3X3Q3c9t9IRmNlPS1yS9VaFA5ynuftME2jxRmzO3F2duv0sh6fU6d784e4K7XyPp75O72SGBsYv8+cl7lD3ngLtf0GSbnq8QEN2hEJQNZx7neknvaeIxzsr/rD0UX71B4arjw5psCwAA7SB+Xi8Z70Azm6U0Nvk7z9RfcvcBSa+XVEqNp2a5+3cl/aVCT+kFCpOUfEpJMXILw+YLh7Zl/IO7/6kQeu61/D8zOzX/nO6+rUFbvqnwXj6uwXNtkPT/ufu+zHnrFWJKSXpig/P6Jb3S3Xdmztsm6d/HOW8s73D3S3Pb3q/QS+sYM1sTN5rZoyU9VNLugvbfpdC7CUCCZBOAifi1Rnbt/oFCL5yHS/pIg27Wo5jZaklHJXdHdRFPkilfSO5mA5U4rO4HyYf6RCxV6CL+QoXheo93900TfIyJyv6PjXUBlioMO9wr6XsNzrswWWcDu98l6383s+ea2dxJtumxyfqbHob65TVTPLRRu/+YrAvrOwAA0Kbi53UzNZJOkjRX0mZ3/0l+ZxJb/LTEtjXF3T8v6TBJf64wxO0yhZ7IMxUu1P3GzP6qwenblQ6dyz7mfQo9iaTQC2oEM1tpZq82s/80s88mdYzOlvSA5JBjGzzfBV5cdH28OOIyLy6ufjDxx6iYJkki3VbwmDGGOt/dtyrH3X+g8F4C0CSK+QLoaEXTB/dIerekf5Z0kZkd6+67xnmc+MG9JXt1KufW3LFSWgPhhuab/CfvV/if9xNJL8j26KnQ0mQdu2lL0hEKvZpmSdpnZmOdvyxz+0sKtSReojCUcMjMrleo9fAtd/95k21anazXFe109+1mtkPhymgjjaaAjj/LmU22BQCAdhA/r0clEAqM+TnaxL7KJAmcbyRLrC31VEn/JuloSZ80s/PdfUPu1HX5XtMZsXj56uxGM/tXhclQxqpRNL/B9snGEVXEHxN5zGZ+9nco9MwHOh49mwAcFHcfVCiQuVnSCoUije3omwq9iZ6oMPa/FR6arG9I3icp/b+7W6OLgOaXP/Uycvdhd3+pwtXCtyoU4lyhUJPhAjM7z8y6J9C2sa7ejndltxWJOgAAKmfhqs+Jyd1rJnDqwXyOtoS797v7txR6ie9RKAT+1Ek+3J+ujpnZcxXqGu2T9FqFRNYchTqQpnCBb8Q5OZONI0qPPyZ58bHtf/ZAO6BnE4CD5u7DybSySyUd38QpcQjcEjOb36B305G5Y6X06tNxk2jmTxS6lX9f0mfNbK67NzVz3WQkM6m8MPPc0fpk7ZJeNdEgJ6mrdL2k/0gC5McrzCD3DIVE3xfGOF1K38+1Ddq9QFyRAwB0jqcpFJmWRn5eNzLm52gT+1rO3e9KekM/TGkvrqy1Y5we92V7Q8X45m3u/t8F5zRVVmEKauZnP5GZCIFpjZ5NAA6amXUp/eDdPd7xSfftOEzujILHs8z2X2R2xboBTzOzlRNtZ1KM+wkKQ9o+ZmZnTvQxJuB9klYqzMjykUwb7lYofj5PaQ2qSfHgAoVkkyQ9pInTYkHyFyRDIPNefDBtAgBgqkgusMTP6J9mJywZwx8UegktM7NRBamT2oxPmmBT9ifrSXUEsHHG5Cc9n2NZgvwQOklaaGbPKDhvmdJY5cLMrjjpyR0F5xyiib/+qSLGUE8xs0X5nWb2VKWJS6DjkWwCcFCShMV7lV4pG1VgsoEPJeu3J7PMxcczhWF5D1Eosvg/cV8SBJ6rUO/oXDM7LN8WM3vmWE/q7r9XKHK5UdL7zOzfxzp+oszsSDP7oqS3JJve4O75YOxfkvUXGgR3ZmaPMLMnZ7a93MxOKjh2ntKinaOCvgLflHSPQnLwfUmiMD7WcZLe0cRjAAAwZSWfs09VmHzjaIXPxVePfVaQ1EX6bHL3I2YWZ4uVmc2Q9AmFIWUTsUkh4bTczBaPd3CB75vZPxZdiDOzhZI+rTD0fqekHzV4jP9MJnCJ582Q9EmF1/I7d/915thYkPs1ZtaXOWeBQhmAseo+TmUXS7pK4YLhWbnXvlLSf9bVMKAdMYwOwET8lZmdlrm/RNIJkuK0sO9z90uafKz/Upht7WWSLjOziyTdp1Dn6FiF+kovLpgx7pWSfijp/0m62cwukXS3pOWSHqRQVHvMK3zufk0yfe0Fkv4xSdi8YYzimEWOS2ZckULifoHC8L6jk+fflDzmNwqe/3tm9kaFoOQ8M7tF0o0K0+wuU3hPD5H0AaVd+p8r6Rwzu1vSlQq9sxZJemTy3Ncqk5gb47XvMbOXKswk+FZJzzWzyxSuUp6mkMx7hMKMNvsbPQ4AAFNENnaZoXBx7KFKe+dcqDCsvZkLNtHbFD5/T5J0i5n9XNKApEcp1EU6R9Ir1OTnqLsfMLPzJD1f0pVm9iuF3lNy90YzyGWtkvTvkt5vZjcoxBQDCrHRwxUSRnslvdzdNxec/xuFWObG5LXsSV7LSoXYLF+P86PJtqdJus3MfqtQKPyxybmfl/SqZl77VOLunsRQFylM2HKamf1a0myFulhXKryXp4gYCiDZBGBCHpks0X6Fq4Ffl/QZd7+w2QdKEjsvN7MfSXqNQsA2R6HH0dmS/t3dbyw4b5uZPVYhiHmxQg+oUxWCoSslfbfJ57/FzB4l6WeSXi9prpm9yt2HmnwJhyoEklJ4H3YqJL2+JOnHkr7j7gNjPP/Hk4DubxQClCcoFL7cKOkKhWTQtzOn/KfCjDCnKg2StyrUb/qKpC+4e38zDXf3n5vZIxSKez5W0rMVpvh9m6SPS9qVtKWZWXkAAGhn2dilX+HCzjWSLpP09aTH84S4++4kgfXPkl6kMNRsq6SfKvRe/tfk0KLETiOvlbRFoYD385XO8tZMsul5CkPXHi/p/pIerVB/cbfCDL4XSPrUGAm1/ZKenrT7+QrJq20K8dg73H199mB3v93MTlTo2f5oSacrxC9fVYgt/rqJNk9J7n5t0tP83ZL+TCGGWi/pYwrvx7XJoRP52QPTkk3sQj4AYDozs8coXLG7xt0fXHd7AACYSpIJQq6VdIykk9z98pqb1FCSMPuFpIvc/bRaGzMNmNkRkm5RuGi3eJIz3QHTBjWbAKDDmNmyJCDKb3+g0qF4481qBwBAxzKzk7J1D5NtcxVqNh0j6ep2TjRhcsxsjpk9oGD74ZK+rPD9+hwSTQDD6ACgEz1A0i+SaZBvU6jjcITC8LwuhWEAZ9XXPAAA2t63Jc02s2sUhvIfojC0Pw5zP6O2lqFKyyRda2a3SrpJoYzCYQox1AyFAuJvr695QPsg2QQAnecmhRlmHqtQx2KeQpfvSxTqP/2Puw/W1zwAANrehyU9R6FG0iMVah3eIel/JX0oX+cI08ZmhRmVH69QfH2hQlH0qxUSkGclMxYCHY+aTQAAAAAAACgNNZsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAAChNT90N6BRm1iNpeXJ3o7sP1tkeAACAMhDjAACAPHo2tc5ySeuTZfk4xwIAAEwVxDgAAGAEejbVYP369evrbgMAABjB6m7AdECMAwBA26klxqFnEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA0JJsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACjNtEw2mdlcM3uXmZ1vZlvNzM3sjHHO6TWz65Nj/6FFTQUAAJgQ4hwAANDupmWySdJSSe+QdLykq5o8528kHVZZiwAAAMpBnAMAANradE023SNphbsfLukt4x1sZocoBG0fqLphAAAAB4k4BwAAtLVpmWxy933uvnECp/y7pBsl/W9FTQIAACgFcQ4AAGh3PXU3oG5mdrKkV0h6lCQ/iMdZPc4hyyf72AAAAJNRRpxDjAMAACaqo5NNZmaSzpL0dXf/jZmtPYiHW19OqwAAAA5eiXEOMQ4AAJiQjk42STpD0oMkPb/mdgAAAJTtDBHnAACAGnRsssnM5kt6v6T/cPcyrtitGWf/ckm/L+F5AAAAxlRynEOMAwAAJqRjk02S/kFSn6SvZ7qVx5oEi5Jtd7v7/mYezN03jLU/9GQHAABoidLiHGIcAAAwUdNyNromHSZpkaTrJN2eLL9M9p2Z3L9/PU0DAAA4KMQ5AACgNp3cs+njkr6b23aIpP+SdLakcxUCMQAAgKmGOAcAANRm2iabzOwNkhZKWplsekZm6t6z3P1ySZfnzlmb3LzO3b/bgmYCAABMGHEOAABoZ9M22aRQq+DwzP3nJosk/a+kHS1vEQAAQDmIcwAAQNuatskmd187iXPWSaLKJQAAaGvEOQAAoJ11coFwAAAAAAAAlIxkEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA0JJsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFAakk0AAAAAAAAoDckmAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA00zLZZGZzzexdZna+mW01MzezM3LHdJnZGWZ2npmtN7N+M7vWzP7FzGbW1HQAAICGiHEAAMBUMC2TTZKWSnqHpOMlXdXgmNmSviBpmaTPSHqTpN9JepekH5mZVd9MAACACSHGAQAAba+n7gZU5B5JK9x9o5k9TNLvC47ZL+mR7n5JZtv/mNk6hWDsCZJ+VnlLAQAAmkeMAwAA2t607Nnk7vvcfeM4x+zPBWHR/yXr48tvGQAAwOQR4wAAgKlguvZsOhjLk/XmiZxkZqubfFwAAIA6EOMAAICWINk02lsl7ZT0owmet76CtgAAAJSFGAcAALQEyaYMMztT0hMlvd7dt9fcHAAAgFIQ4wAAgFYi2ZQwsz+X9F5Jn3P3T0/iIdaMs3+5iot4AgAAVIYYBwAAtBrJJklm9iRJX5T0A0mvm8xjuPuGcZ5jMg8LAAAwacQ4AACgDi1LNpnZ/SWdKmmZpOvc/bxke5ekHnff36q25Nr1CIXZWS6T9EJ3H6yjHQAAAGUixgEAAHXpqvoJzGyNmf1M0jWS/kuhG/ezM4e8WtJeM3tC1W0paNvxClf61kk63d33troNAAAAZSPGAQAAdaq0Z5OZLZZ0kaS1kq6VdLGk1+cO+4akT0h6pqQLSnzuN0haKGllsukZmal7z5I0LOnHkhZJ+g9JT891A7/V3X9TVnsAAADKQIwDAADanbl7dQ9u9gFJb5H0IUn/6O5uZsOSznb3V2WOu1ySu/tJJT73OkmHN9h9RLK+fYyHOMfdzyixPauVTB28fv16rV69epwzAABAC02ZwkPEOAAAYAJqiXGqrtn0LIXu2//kY2e1bpP0yDKf2N3XNnHYlAksAQAAJGIcAADQ/qqu2XS4pMvdfXic4/ZLWlxxWwAAAAAAAFCxqpNNA5LmNXHcYZJ2VNwWAAAAAAAAVKzqZNMNkh5qZnMaHWBmSyWdIOnqitsCAAAAAACAilWdbPqWpCWSPmxmjZ7rPyTNlvT1itsCAAAAAACAilVdIPyTkl4h6a8knWRm30m2H2Vmfy/pBZJOlnSlpLMrbgsAAAAAAAAqVmmyyd0HzOzPJH1T0qmSTkx2PSpZTNLvJT3b3Q9U2RYAAAAAAABUr+qeTXL3eyQ9Kkk6PV3SkQrD99ZL+pGkc93dq24HAAAAAAAAqldpssnMXi5pn7t/3d1/LOnHVT4fAAAAAAAA6lV1gfAvSDqj4ucAAAAAAABAm6g62bRF0taKnwMAAAAAAABtoupk06WSHlzxcwAAAAAAAKBNVJ1s+qCk483stRU/DwAAAAAAANpA1bPRmaTPSPqUmT1P0rclrZO0t+hgd7+44vYAAAAAAACgQlUnmy6U5ApJpydKesIYx3oL2gMAAAAAAIAKVZ3cuVghiQQAAAAAAIAOUGmyyd1Pq/LxAQAAAAAA0F6qLhAOAAAAAACADkKyCQAAAAAAAKVpSbLJzI43s8+Y2Y1mtjtZbjSzT5vZ8a1oAwAAAAAAAKpX+exvZnaGpM9I6lWYlS46OlleaWavdfdzqm4LAAAAAAAAqlVpzyYzO0nS/0jqk/QDSc+R9OBkebak7yX7/sfMHlZlWwAAAAAAAFC9qns2vUUhofWX7v6F3L5rJZ2X9Hz6vKQ3S/qLitsDAAAAAACAClVds+nRkq4sSDT9ibufLelySY+puC0AAAAAAACoWNXJpqWS/tjEcTckxwIAAAAAAGAKqzrZtF3SYU0cd5ikHdU2BQAAAAAAAFWrOtn0e0mnmtnjGx2Q7HukpEsrbgsAAAAAAAAqVnWy6azkOb5nZh80sweY2exkeaCZfUhhRrp4LAAAAAAAAKawSmejc/cfm9n7JL1NYba5NxccZpLe4+4/qbItAAAAAAAAqF7VPZvk7m+X9DRJv5C0TyG5ZJL2S/q5pKe5+79W3Q4AAAAAAABUr9KeTZG7ny/pfDPrlrQk2bzF3Yda8fwAAAAAAABojcp7NmW5+5C735cslSWazGyumb3LzM43s61m5mZ2RoNjj0+O250c+yUzW1ZV2wAAAA4GcQ4AAGh3lSabzGyRmT3GzFaNccyq5JiFJT71UknvkHS8pKvGeO7Vki6WdD9JZ0r6kKSnS/qpmfWV2B4AAICyEOcAAIC2VvUwujdKerukR0i6q8ExKxTqOb1D0vtKet57JK1w941m9jBJv29w3JmS5kg6yd3vlCQz+52kn0o6Q9J/l9QeAACAshDnAACAtlb1MLqnSbrN3S9rdECy73ZJp5f1pO6+z903NnHo8yR9PwZgybk/k3STpBeW1Z52tH9/3S0AAACTQZwDAADaXdU9m9ZK+l0Tx90g6WHVNmWkZGjfIZKKEmG/U0iUTeTxVo9zyPKJPF6Vrr1Wuv12adEi6UEPkhYsqLtFAACgTGXGOVMpxgEAAO2h6mTTfEk7mjhup6SF1TZllBXJ+p6CffdIWmxmM9x9X5OPt76cZlXv7rulrVulvXul7dultWulY4+VenvrbhkAAChJmXHOlIlxAABAe6g62bRJ0nFNHHespK0VtyVvVrIuCrIGMsc0m2yaUvbskW69VTr0UGlwMCSg7n9/afV41y4BAMBU0NFxDgAAqFfVyabfSnqumT3G3S8uOsDMHi3pREnfrbgteXuT9YyCfTNzxzRjzTj7l6txAc/a3HeftGWLdNhh0r590h13hKF18+fX3TIAAHAQyoxzpmSMAwAA6lN1sunTCsUpv2Vmr3b3c7M7zexZCjOhuKTPVNyWvNitfEXBvhWStk5gCJ3cfcNY+81sAk1rjb4+6bjjpDvvDL2cNm2SDj9c2rZNOuKIMLSup+rfEAAAUIXS4pypGOMAAIB6VZpKcPefm9knJL1B0nfMbLOkG5Pdx0haJskkfdrdf1JlWwradpeZbVJxYfKTJV3ZyvbUZcYM6eijQ+2mO+4IxcOXLx85tG7VqrpbCQAAJoI4BwAA1Knyfivu/rdmdrOktyskl5Zldm+W9D53/1jV7Wjg25JeYWZr3H29JJnZExQSYR+pqU21WLgwDJ27556QZIpD6wYGQs+nBz1Imju37lYCAIAJIM4BAAC1aMkgKXc/y8w+JekkSYcnm++UdJm7D1XxnGb2BoUZ7lYmm56Rmbr3LHffIenfJL1A0i/M7GOS5kp6i6RrJH2hina1s66u0Itp6dLQy+mWW0ICau3aMHvdkUdKxxwjdXfX3VIAADobcQ4AAGhn5u51t6ESZrZOaWIr7wh3X5cc9wBJH5b0KEn7Jf1A0pvd/d6S27NaydTB69ev1+oap337yU9CjaYtW6QTTmh83LZtoVfT/v3SihVhmTtXesADwm0AAKaRKVV4qJ3inHaKcQAAwCi1xDi1lH82sxkKV+M2V9Wzyd3XNnncdZL+rIo2THWLFqVD6+65JySnDj9c2rs37Dv+eGnJkrpbCQBA5yHOAQAA7ayrzAczs1lmdn8zO6zB/sPM7HuSdkq6W9IuM/uimZGyaFPd3dLq1aFm04wZ0k03STfcIK1fL11yifTb34YeUAAAAAAAAFLJySZJL1OoA/Cy/A4zWyjpYklPk9Sr0JVrpqSXSPqxmVEJqI3NnCkdd1yYue7AAen666Wbbw7D7H71K+nSS0NdJwAAAAAA0NnKHkb3qGR9TsG+t0g6TNKApDMl/USh1sDHJJ0o6RWSPl9ye1DgYMp0LVoUZq7bskW66y7p2mvDtr17pfvuC8PqjjkmFBkHAAAAAACdp+xk00Mk3ejuGwr2vUySS/qgu3802Xa9md0t6QpJzxPJpsq5S299a0gQnXji5B7DLCSTFi9Ok07XXBMes78/bFu0SLrf/aRDDw3HAwAAAACAzlB2sukQSb/ObzSzIyWtVkg2fS67z92vMrMrJT245LagwO9/L119dbh98cXSr38tPfOZ0oMfPPGkUFeXtGxZ6M20ZYt0993SddeFouKrVoVaTnPmSEccIa1ZI/XUUo4eAAAAAAC0Utlf/xcrDJPLOylZ3+bu6wv23y7p+JLbggIPf7j0/vdLX/5yGAL3+9+H5fDDpWc8Q3rsY0Mh8ImISaelS0Pdpnvukf74R2nu3NCzafdu6cYbpcMOC4mnWbOqeW0AAAAAAKB+ZSeb9khaWbD94cn68gbn7Zc0WHJbUMBMeuhDpQULQgLo5pulCy6Q7rhD+sQnpC9+UXrqU8OyePHEH3vJknDe9u3SvfdKt94aZq475JBQ1+m228LttWtDgoohdgAAAAAATC9lJ5tukPQIM1vs7tm5yZ6mMITukgbnrZK0seS2YBxLl0pPeIL00pdKP/2p9P3vS5s2SV//uvTtb0uPfnQYYnfUURN7XLNQs2nRImnPHmnjxlDX6e67QzJq9+6QiJo9O/SoWrNm4r2pAAAAAABAeyo72fR9SSdL+rqZvU7SJklvlHR/ScOSvps/wcx6FWaj+13JbUGT5s6VnvOckFj67W+l884Lw+B+8Yuw3P/+Yd8jHiF1d0/ssWfPlo48MiSU7rsvLJs2hedctkzatUu64YYw3G7NmtDrqaurmtcJAAAAAACqV3ay6eOSXivp8ZJuyu37srvfUXDO0yXNkXRxyW3BBHV3S498ZFhuvjkknX71K+n668NyyCHS6adLT3xiSBZNRG9vKBq+cmU6xO7226U77wy9nXbtCj2g+vqk1avDsmBBJS8TAAAAAABUyNy93Ac0O1bS/yotCi5J50p6qbv3Fxz/c0mnSXqMu/+q1Ma0ETNbLWm9JK1fv16rV6+urS0/+UmopbRli3TCCWMfu2WL9KMfhWXXrrCtt1c69VTpyU+WHvjAydddGhgIvZw2b5YOHAi9oJYsCcP7envDTHarVoVlosktAAAmiCqCk9ROMQ4AABillhin9GTTnx7Y7EhJh0q6093vGuO4Byu8+GvdfaiSxrSBdgrEJpJsivbtky66KNR1Wrcu3b58eaj79LjHhZ5Pk+Eu7dgRkk7btoVt8+aFxNOiRVJPjzR/vrRiRVjmzZvc8wAAMAaSTZPUTjEOAAAYZXolmzBSOwVik0k2Re7SLbeEguIXXRRmmIse+MCQdHrkI0MvpckYHJS2bg3Lzp2h19TChWGGu4ULw1C/OXNCkmv58pCMYkY7AEAJ+DSZpHaKcQAAwCgkm6azdgrEDibZlDUwIF1yiXTBBdI116Tb+/pCMfHHPEZ66EPDkLjJ2L8/JJ22bJH6+0NSaf78NPHU2xtmsYuJp6VLKS4OAJg0kk2T1E4xjhQuhJlJM2fW2gwAANpFLTFO2QXC0UFmzpQe//iwbNokXXhhWNavl375y7DMmSOdckpIPD3oQRObza6vL00k7dsXhtht354O45szJ/Rs2rFDuuOOMNzukEPCsmwZQSYAAJ1m69ZwIcw9XJxasyZMTtJDxAsAQEvRs6lF2umqX1k9m4rEYXYXXRRmstu6Nd23YEFIPJ1ySkg8TTbwO3AgJJ3i4i7NmhUSTwsXpsXE589PE0+LF9PrCQAwJno2TVI7xTi33BJ6W99xR+jxPH9+iDdWrAiJpyVLGH4PAOg49GzC1GcmHX10WF75Sun666WLLw5XGXfskM4/Pyzz5kknnxxmtTvhhNCLqVm9vSGBtGyZNDQUHnfbNunee6W77w5B5YIFYdmyJQSe3d0h4RTPmz+/uvcAAADUxz18/m/ZksYM/f3Shg3h4tTq1SHxNGdO3S0FAGD6ItnUwQYHpY0bQ1Jm1qzyH7+7O/RgetCDpNe+Vrr66pB0uvTSkCC64IKwzJwpPeQhoc7Twx4W2jOR51i8OCzDwyGY3LEjLFu2hGNmzw7Jpa1bw+vt7g61npYsCVc9lyxJe0MBAIDpYdWq0Bs6XoyaOzd87u/aJd18M8PsAACoEsPoWqSduphfcIF0zz1h2bUrXAHs7U17A82fP/mi3s0YGpL++MeQeLrkkpFD7cykY4+VTjopJJ6OOGLyw98OHAgz2sXk04ED4fHnzQuvcf78cFXTLE0+LVkSgs958+hmDwAdhv/6k9ROMc4tt4SLW1dcEXpZL1oULkZt2yZt3hziAil81jPMDgDQIZiNbjprp0Dsrruk664LRbeHhkLCaefOsOzZE46JvYHmzw+Jl4kU9p4I91A/6ne/C8ttt43cv3BhSDw99KFhuN3BDH/bsyd9nbt2hdfe1RWudMbXOWdO2Nbbm/aYWrw4JOGqeg8AAG2BFMMktVOMU5Rsytq/P/R83rw5zFrX2xuSTkuXhl7es2aFHlErVoQYBACAaWD6JZvM7POSfuXunx/nuDMkPcbdX1VZY2rWToGYFJI8u3aFWeQ2bQq9i4aGJtYbqAqbNkl/+ENYrrpKGhgYuf/II8OQuxNOkO5//9AjaTLcw5C7mGjbvTtNPs2ZE17vvHkhEdXdHbYvWBCC1sWLw5rZ7gBgWiHZNEntFOOMl2zK2r07JJ22bAkxQBxmt2hRSELNmhWSTitWhG30eAIATFHTMtk0LOns8ZJIZvY/kl7l7tO270g7BWJFhodDwikmn3bsCNv37k2TT7E3UHd3mniaP7+aek9SSHRdf7102WXSlVeGmWWyentDwumEE0IC6sgjJz/kzj30fNq1K10GB0NgOWtWCEBj8ikmuGbOTBNPCxfS+wkApjhSCZPUTjHORJJN0fBwmN128+Y0/pk3L5y7aFGYxKS3Vzr00LAsW1ZtuQEAAErW0bPRdUsarrsRnayrK+1GfvzxoZv55s0h8bR5c0jEuIergDH5dOedab2nbPJpsr2N8np7QyLphBPC/W3bQm+nq64KyactW9L7X/xiCAwf+MB0Ofzw5pNPZqFH05w50vLlYdveveH1xtd8331pu+bODcfed19Yd3enPcBi8mnhQmo/AQDQ7rq60mHzBw6ExNOWLSHOueOO8Jm/YEHYvmFD+FxfvFg65JB0hls+6wEAGKldkk1HS9pRdyOQ6usLs7OsXBnu9/ePTD4dODC63tPWrSH51NeX1kAqM/m0aJF02mlhcQ+1p668MizXXBPa8pvfhEUKz3//+6fLkUdO7EpkrN2wbFm4f+BASDz194f13XeHq6Gx99OcOWkSatassL27OwSoMfm0YEG1wxABAMDk9faGz/1ly0IP5+3bw8WujRtD3NHbGz7Pt20LF5y6u0PcE8+JtZ8AAOh0pSebzOwduU0PKdiWff4HSDpV0s/KbgvKE3v9HH54SPTs3Jkmn2K9p8HBtBfQzp3hqmBMPsXE07x55dQ6MpNWrw7L6aeH5775Zunaa8Pyxz+G5NOll4ZFCu049tjQc+v448PtuXObf87e3rRLvRReW+z91N+fJuTcw1XS2bPT5NOcOenr7ulJZ/4jAQUAQHvq6Ul7fQ8Ph8/7mHzatCl8bsdeT1u3pr2eZs8O58RZbkk+AQA6Uek1m5I6Ta6JjQvsl/QUd/91qY1pI+1Uz6BssdZBnN1l69awLZ982rs3HXYXayDFmk9lJ1oGB8MsdzHxFJNPWWbSYYdJxx2XJp9Wrjy4tgwNpYmnuOzbF/Z1d6eJp5iIir2+enrCexGTUAsWhP2TrUEFAJgwUv6T1E4xzmRqNk3GwEAoKRBjnGxNyxjfzJ4djp01K63xuHgxw+4AAC03PQqEm9k7lSab3iHpSknnNjh8v6QNkn7s7veV2pA2006BWNWGh8NVvy1bwrJtWwjC4rC7mIDq7w/Jp+7utPj2vHkhGVN2kmV4OHR/v/76sPzxj6FLfN7cudIxx4Tl2GNDoDp//sE994ED4bXu2ZMmoPbvD/vyCajZs9MroF1dIxNQsSYWRcgBoBJ8/Z+kdopx3vlO6bvfDfHEySdLD33owX+Oj2d4OHy2x8TT7t0hvunpSeOb2NO5q2v0EPuFC8M+AAAqMj2STSMevMnZ6DpBOwVirZbt+bR1a1gGB9Mu6XH2t/7+kJCKxbpjcDZvXjWzvmzbJt1wQ0g83XCDdNttaRIoa/nykHw6+uiwPvLIg69DNV4CKtaAmj07HYLX1ZW+N9nk0/z55QxNBIAOR7Jpktopxnnyk6Wf/nTktpUrwwWkuKxdW+2Fm9jLOSaedu9Oazxm6zvmh9hnP9e5wAQAKNH0SzYh1U6BWN1izaetW9PeT/v3h+179qQJqN270wTMjBlpcDZ3bkjClN376cABad066aab0uWuu0Yf19UValfd734hAXX00WE43sEmxA4cSJNPe/eG9cBA2BeLkMfkU+wFFYPQvr7RCSiG4QHAhJBsmqR2inF++EPp3HOl3/421FW6557Rx8yYET7DswmoxYura1OMb2JsM9YQ+9mzQwIqDrObM2fkZ/u8eeEYhuEBACags5JNZjZL0jGSNrj7lloa0ULtFIi1o927015PW7eGQEwKyabY6ykGaO6jez/NnRsSLlW06+abw3LTTWG9bdvo43p6QgLqqKPCcr/7hfsH26ahoRCgxiUmouKf7YwZaXAal9jrKhYuzV8lpRcUABTi6/sktVOMk6/Z1NMTPr9vvDEsN92UxhhZy5aFpNMxx4TP8COPTGsuVSH2cI7Lnj3pBbbsBabsEPt4Uaura3QMFC9GlTUDMABgeti3T5o5U0vctbXVz131MLpHS3qOpHPc/arM9hdL+i9JsyUNSXqvu7+7soaM3cajJb1H0qMkLZZ0p6SvSPqQu+8p8XnaJhCbCvbtC0md7DI8HJbY+ykuMTjr7U1rPsWl7O7n7qEn1i23pEmoW28dXXxcCs992GFpAuqoo0LX/YNN9gwPhx5P2STUnj1haGJ83lmzRgeq8b3o7R1ZwHTevOqGKgLAVGGmbncN192OMnVijDNegfBYwzEmn268UbrzzrA9yywMvzvyyHQ56qhq6z8NDqaf6Xv3prdjqN7bGz7bZ85MP+dnzhx5YaunZ+Rnf74mJMPyAGD62bdv9CRVcRkclJ75TD3TXd9rdbuqTjZ9SdKfS1rp7puTbWsk3SypT9J2SQsVCoo/3t0vqqwxxe1bI+lqSTskfUbSVkmnSDpD0nnu/qwSn6ttArGpaHg4JHS2bQs9n7ZvH9n7KfZ8ir2fYm2EWPsoLrNmlT+0zF26776QdLrllrC+9dYwVDCvyuB1//6RwenevSN7QfX1jQw48131Z85ME09xmTuXJBSAqc09/H8cGBh7ecpT6gnEqtKpMc5kZqPbsyecd+ON6UWkTZuKj122LHx2H3FEWK9dKx16aHXD2tzTC0zxcz3+zsbP966u0KNp5syR6xkzwmd/Nu6JCasYAxQtfO4DQPuJnwW7d6cjXuLt2OlAComnffvSz4p9+6Q3v1lnuuv9rW5zT8WP/whJV8VEU+JlCommd7r7u5PeTxdKer2kliabkrYslPQod78u2fbfZtYl6eVmtsjdCwZNodW6utJZ2dauDdv27x/d+2loKARfseZRTD5t3jxy+F282pctvj1ZZiHQPPRQ6dRTwzb38JzZ5NNtt4U23nVXWH75y/QxliwJgevatWF9xBHSihUTuwLZ15fWbopiL6hsEmrTptB9P7Y9f5U0DsXLJ6Gy3fXnzmU4HoD6DQ4WJ4727g3BVVxnr6u5h/+B+/ePXEs6oqaXURVinCbNni09+MFhiXbsCJ/ht92WLvfcEz5DN22SLr105Plr14bl8MPTpYwZ5uLndJypNnIf+Tsef/e3bUvrYMbze3rS5FNMQMWlt3d0cqm7e3Tyqq9v5PlxTWIKAMozMNC4h9LQUDgmXkTLJ5TyFyLM0v/XkgrG4VSv6mTTUknX5bY9XtJ+SR+WJHf/pZn9VtKJFbelSOxPcm9u+z2ShhXaiTbV15cmeaTwh7VrV+j1tH17CLh27Qrbh4ZGJqB27gzBYkxAZZNPsefPwSagli0LyymnpNu3bRsZuMbgNRZKv+yyka8vBq8xAbV27cRqSHR1pb2ZlixJtw8OpgmoeKV05840K54NbrPJqBkz0velp2d0Aio7tTMAHIx4BS/7hTrbq2NgIA28osHB0UmkffvC9n37wv3BwZHJJ7M/fWGebil0YpyDsGCBdNJJYYn6+6Xbbw8XkNatC5/h69eH39Prrw9L1rJl0po16bJ6dVjPm3fw7TNLeyLlZb+I5Jddu8LfQf5vICaOYhKqp2dkMqq3N2zL9+Dq6hqZfMomsYruFyW3AKBTxItk8fvXeAmlomRS9iJa/P89c2YYKbNsWfrZkOvZekcNL7fyZNNcSXvjHTMzSQ+XdJm7784ct07SCRW3pciFkv5R0ufM7F8lbZF0qqS/lvRxdy8oIVks6UI+luWTbSSaY5YWwT7ssLBtaChcnYwJqOzwu2zx7TgDXjYBlR2CV1atg0WLRgeve/aEoHXduhDE3n57uL1/fzorXtahh6aJp7gsXz6xBE9PTzpULuvAgdFJqB07Riah4nC8bJf7WbPCY8ZjYvIuO71zHMbIDDoAouHhkTX4sks2kTQ8HP4n5hNJ+W35ygDxi21fX/gfVPTFN/MF+o8tfOmtcKGIcUo1Z470wAeGJRoclDZsCJ/dd9yRLps3p72gLr985OMsWCCtWhWW1avDevny8PleRoFvs7QXUpFs776iv6u9e8PtfDJXCn8v8e8mu46380tRbBITvPneVfnkVtF2LmYBaFcHDqSJpKL1wEA6ukSaXEJpwYK0x2lBQqntVJ1s2ippbeb+iZLmSbokd1yvarjC5u7nm9nbJZ0p6ZmZXe9z93+Z4MOtL69lKEt3d5jOODul8YEDIYESl3wCKp9lzg7BmzlzdNHNnoP8K5o9W7r//cMSDQ2FHk/xymlMRG3ZIt17b1h++9v0+JkzQ4It24V/7dqJ14KKwVz+vBh8ZoeobN2aTt0shfchJp6yiahsb6iurjSJl59Fb/ZsrnYC09W+fcUJpT2ZEtUxSMsGZvv2FX/p7e5Ov4TOmJFOcpD/8trOAVjViHFao6cnvfCTtXt3SDqtXx+SUevXh2Xz5jT+yPeEkkIv5OXLw7Jixch1GT2ipPSLy3gz5g4NhWTagQNpr8DsOv7NFvUYjLq6Rieg4t9vd3fxvkZJKmnk334+GdUoedXXR2F0AAcnJoWKEkjxdrZuUlFSP9vjOn+RLF4kmDlTWrhwdP29qXqxvupk0+8lPdXMTnH330h6o0Ix8J/njjtaoVt3HdZJuljStxWu+j1d0plmttHdP1FTm1Ch3l5p6dKwRIODI5NPO3aEQFEKV9Rjb584PXGcHU9Kr5hnkygHe2Wyuztc7Vy9WnrUo9LtO3emPZ/WrUuvoA4MFPeCWrgwJJ4OOyws8fZEp3NulIQaGho9tKW/PySi4pfD7HjhouKl2QAwFi5ttGQLmgNoL+7h/+OuXaOTSvFKXqwzUxSw5XtQzpoV/ufkv0TyxXFC1okYpxZz50oPeEBYsvbule6+OySgYg3Hu+6SNm4Mfz9xWP11+SIUCjHGIYekJQQOOSQdsr90afh7KfMzsrs7rd/UjMHB5pY4BHZwsLj3lJTWmsomoPJJqnyyKt4veg/icL98z8YZM0YP+cseB2B6y/YuKkogxXX2f1U8J98zNL+taLhy9iJZ7K0UeyhNx+84VSebPibpaZJ+ZWY7JC2QdJukn8QDzGyppAdJ+lrFbRnFzF4k6b8lHePuG5LN30mKZ37AzL7q7luafLg14+xfrpB8Qxvq6QlXE/N1jXbuHNkLKtaAys4OE5NQ992Xflnq7h7da6eMmfDmz5dOOCEs0dBQCFzvuGNkAmrjxnTo4FVXjXycpUtD3YiYhIq1JObOnVh7sq8zL/aGytZb2b07XNXNTjFdVLg0W/sh23Ms9i7L957K9qKaOfPge5sBaGxwcGQiKSaX9uxJ/7ZjL9F80JYtXNndnf7tLlw48m+5k3sklYUYpz3NmhVmoT3qqJHbY93Je+4Jy8aN6XrjxnCRK9aMuv324sfu6wtxzNKlaa/uxYvDtsWLw9/ZokWji42XJSZ9JmJ4eGTiKa4PHAjr7O19+9JZlxr1pDIb2ZsqJqiKbmeHAhYlsPNfDosSUvl9/O8C2sdYF7iycUn2e8nwcHHyKLvk//9kk9mxdlI+od2pyetKv5K5+8/M7FWS/lXSIQqzzb3e3TM/Ur1MUpdaPxOdFGbAuyIThEXnKUwNfKKknzXzQAWPMYJNx1TlNNfTM3oI3vBwCAZ37EgTUdnC2vv3pwmoPXvC/vvuGz0ML9sL6mD/+XR3p8VHs72g9u4NXfbvuEO6886w3HFH6HW0eXNYrrhi5GMtXpz2qIoJqNWrw/aJ/gqP9Y81dr3PFzDt7x9dd6W7u3FQ16iXQ/wSm+9FFW9nH4/EFFBsaChNJu3cGda7doX/LVG2vkA2gMvWJMgGX4cckiaLxxvCg4NGjDOFZOtOHnvs6P0DAyGeiEPp4+1Nm8Ln+fbt4fMzJqvGEhO8jZY4++/ChSFWqfLH29UVlsnEQjEZle01lU1OxW3796f/l8ZKUmWTT9ml0baixFJ2eG/2AlrR7d7e6dmTAWiF4eHRoyuKEknZv/f4/2GsoW3Z+EVKv4f09obvbbFmUn5CBRSr/K1x93MknTPGIZ+R9HlJu8c4piqHSiqa9jd+5PGrgxG6utIgLIpDR7LJpx07wj84Kb3Cn01Cbd+edseMQ8diEqqsXlCzZknHHBOWrN270+TT+vVhvWFD6La/dWtYrr565DmzZ4ek08qVaVHTlSvDUjQTznjGSkRlxzjHei1x6e8PV3ezY6Kl9Aplvl5Dtm5DDA7zimbSyQaCRd3qGcKD6WR4OPxtxWRSTCzt2ZMGaTGgy04ekL0aGCdVmDkzDOnJ9j7k76U2HR/jrF8fEjL5oVj52/n77SjWZowToOQdOBA+xzdvHvl5vnVruL9tW4g94t9u7DE1nu7uMNxj/vyR63h77tz0fnZm2jIKnTfTtvhFcCLyPaliEiq7NFOPKjuMr6hoer54ej6uy5YZKEpKZS+QZetfAtPd8PD4vZHi96xoaGjs2kj79hXXf4yJo+wkItmlXT8TporaAw1336vMjHUtdpOkJ5vZMe6erXbzFwrTAl9dfBqQMktnW1uxIt2+f3/40pZNQu3enX45yw7D27s3BIIx8Mv3gopJqDKCt7lzRxckl8KXzQ0bwnLnnaGGxIYNaR2JoppQUuieH5NQMQG1cmWoJzGZK5XZbuuNhvXlu7hmZ9E5cCC8lnhlM//YRcFgo2Cx2doPjWbNKdrPVUzUJVtTKbtk/y/FHgBx2bNnZK2C7u60Z+bSpemw1ulaa2CK68gYp7s7/I9evnxk75Z9+9IEw9BQcfJAGlkrqChpkF0aDb+qQ29vWlh8LDHeiMmnWKcyO2tvLB2wZ094r+L2iYif4XHJzlCbn6k2LnH77NnVJlYmk1TM/i7lk1Px/sBA+J/aqBZVduheUTIqfzsvlh0oSlDll04dsoOpoWj26+ySTyTFv7OYPMqviyYSiX9PM2aE/y2LF3PxuA4tSTZZ6F/9VIUpd5dJutTdP5/sWyZpkaRb3b1BmcDK/EfSrl+a2ScUimeenmz7rLvf3eL2YBrp6xtdiDxO851NQO3cGf5JSuP3gopf9LIJqFmzygkq5swJXffz3fcPHAhd8jdsCLWh7rorrO++O7yGWMz0mmtGntfVFXo4rFiRJp9iIHzooRMvUp5/7LGmdY7yM+nEcdbZ2XTGq/+QDQ6LZs7JXzGP60aBcqMvLWMlq2LPLL7Mo1nxS092+NuuXen/ksHB4iAv9hrs6koT3osXp/9vGPo2pXRkjLNyZbhIMmPG6F6wWTHplB2Kla8Z1EwPlzgELJsoyF9oaKchUzF+WLly/GMPHAgxSLbXY/5/SoxpsnXchofD523sWTVRZumsv42WbMIqn8SaNav893qixdLjRbGiGfzi7f7+9Hb+96ro4thYt4t6TTVKTBXd5ks3yjI4WNwjKbtkE0Px/0V+REO8XXTxODvyIF7wyieS6AnYHipPNpnZCZK+rjDjnCnMRterMHROkp4k6UuSni3pe1W3J8vdLzazUyW9U6G2wRJJt0t6m6QPtrIt6AxdXWlNhtWr0+3ZL4ZxyfY2yA9h6e8PXeVjcJKdxS3bG6qM4KG3t3HX/d27Ryeg7rorJKf27k1rS1x55ehz581LZ9OJCahDDkmXMnpxTXYmnaIu9dnaD+MlqKTwsx5r5pxGQzrGmvI5+8VlrGF+dP/tHPv3jx7+tmtXWnMgJrCzPZWyNZWyvSgXLEj/d0zlaXYRdGqMM2OGdMop4bZ78Zf9/Jf+/P34RSdbNDb7eEWPle1Zu3178efDWBcaskmpdvm/3dubznbXLPfwPyY/K2V/f7rOLtltu3endRvjtsno6hqZmJo9Ox3uF5NScdhfHAIYl7L+9zV7USyKCc7872G8H+taFn3xlg6+11SMlfLJqUbF0alR05nys7YV1UvKJ/ljD6TsELfs/XyNpGwcu3BhcaFtEklTR6X/KsxstULxySWSfijpQo0OcL4r6YCkZ6nFySZJcvffKcyYB9Qm1jbJBnSxjkr2SuLOnWlx3jgjXvYLZLYguZRm/PNLWYHs3LnFdaHcQ7B9990h8XT33WniaePGkV+Kb7ml+LFjMeFly0avly0LQWHZX4ZjImgidaiKrornr5Dnk1hx20QSVY1mz8neLvrwzQ75G2s2nex+kgztJX6BLfqSFoO0bH2D7P+EffvSx5kxI3zpijWVYl0lgrbpq9NjHLODmwUoXmDIT2ZRtOS/MMXEVHaIdzaBEC8yHTgwOqmV7y1VVH+w3YbxRbFX0uzZ4SLSRB04kM5umU9Ejbdt9+7wnsfJXHbtmvjz9/YWJ6Lmzk1rVMWLhgsWpNsO9v9ovPDUTPwxPDwypsgmpeLvWfydLIo1xus11czvWDa2aDSJS/YCWHwstKfsrG1jJZOy/6vcR9dIKiq83WjWttmz02QSMzpOX1X/2Z+pkGh6k7t/XJLMbESyyd33mNlVkh5ecVuAKaWrKw1yVq1Ktx84MLrmyq5d6ZfK7JfObD2oe+8t7gkVa66UOTuUWZheedEi6QEPGL1/z540+ZSdVSfOrBMLru/c2TgZNWNGGKIYE1BxyGJ2mUzx8omabIFSqfHwjXzCKnZJziarGrWlKCk11qw6482mkw8gi650EhgcvMHBxlf+4zBbKf2SOjCQ9niMSaV8kjlOcT57NoW6gcmI/yebGfYdh4LEv83sF7d4O27PJ5fG6ikVE12NEgeNerTk/9/Hixft/n+gtzeNHyYj9gDK95zK9rKKs2zGdbwdfw4THf4X47VsAmr+/NEz+8XbB3uxLPuFvRn53nj53n5xApZ4XF6zM/Vlbze6+JUvEZAvHVBU65IyApMTJ9zJ1zXNFthuNGtbdmhbvjZSXPL/j/IXN+fPH93bnlpinafqZNNTJN0QE01jWCfpcRW3BZgWentDDZXFi0duj8Np8vUUssNpsh8ue/eGY7M9oeJVtWwCKi5lJhRmz5aOOCIsRXbvDkmn++5L13HZtCn04Nq3LwzZu+uuxs8TixgvXhzWS5aEJXt77tz6gpjJJqriFfOimXSytUaaGfKXT0zlg8n89qIvKs0kp/L1qKa7oit8jZZ8r4gY2GUDwvhFNZto7OsLf5vZ4W+zZnH1GKhDrHM23kWO+AUwn4DK3491ovLnNkpMZesQxvv5pFZsZ1HtwXwP2vwyVb7sx6Fr+RhpPLG3eDb5VDSZQoyzYt3N/v7wPsei6uvXj/9c3d1pAqpoicm2RYvKiVEm0mu7aOhpUYmBZmfqa6buZfa4Rq81G5M0KtQ/3mPHHuBT5Xc5iomfosRRfpKcfE/KIuPN2hYTSVkxVs33SMomk4g9UKTqX4uVks5t4jiXNL/itgDTWl9fmkDJygZP2WApfghlu87GmacGBkYWJo8zxMVAOk7JG3tDld2zJc5e0ygZtX9/qFm1aVO6bN48com1rfr7pTvuaPxcsZB7fO+KElILFrTX1eDJDg0pmj0nf3+8HlTxi0qjK+jNJKdi+4u62Rd1u88Hja3uSZUPzMZLHMWaI0WP0yhwjz0isjO/SeE9mDkzJE6XLEn//ijoCkxN2RlX580b+9jh4eJEVH4pqnsiFV+QyP7/iftjnZXY27ZI/N/baFKM/O38tnbvAWuWJuwPOaT58w4cGFlvMzsLcVyyM/7194f3uNneU9kLjIsWjVwvXhw+FxYvDp8RZSRRJhNf5CdjKbr4FWcfi/uKEqFS879bRUmkZn/P8r+j2XMbLWaNFyn9zHcfvYy1PT9RwdBQeG+y9xuVXMj2fi/qEd9of/69jz/vOGtbUS1Q4g1MVtXJpn6F2efGc4SkScxXAWA8RfWgpLQnVL5r+Z496THZ7rZxqM7OnSO728bAOZuAirdnzKgmwOzrCzPpjDWbTn9/OlPeli0hAZW9v2VLOhNgLG7eSHd3GtTFRFS+t9Tixe3fYycmbJoV60IUXeWM6+zVzbGSU/mE0XhXOccKmou+8EgjA7/seqLb8gmkoteVnWlorCRedttYV3/j1cJFi0b+HRHgAZ2rqytNgIwn9n4oms0p24My+7+t6H9S/KLb6Etsdh2H8o6XqJLC/9dGSah8UiG7LSYC4tJuvVJ6e4sv9DVy4ECaeNq+PZQ5iLezy7ZtaV2+WGZgLLE3V74Xd1yWLAnDmqqIySY6GYs0Mr7I99SOt/O1qbLJmEbMRv/OjJVMir9T2YRSvN0oyRSfJ/+7mE0s5deN9sW/N/dwO7/E11uUSCr6+83+ncU4K8YX2V5mzNqGVqk62XSNpJPMbKm7by46wMwOl3SCpJ9W3BYAGY16Qg0NFdc3iOP5o6KaFLt2haRONhCIPaJib4z88KqqxFloimbRi/bvH52Q2ro19JTaujVs27YtvCexB9VYFiwY3Usq3l+2LKzLmGWvVSZaF2Ks5FR2ib13xqs/1ShYzG8v6hZfFAgWJZmyt+O6KFmUfx1FwW5R0dU4rG0iNbMAYKKaHcaXNd5QnOwwm+z/9Eb/t91H9sjIJgyKenDEhNWePSO3jaUoQZVPYhUlsNolYdXbmyaAxrN/f4hBYiySvR17Rm3dGmK0ffvChCz33NP48Xp60phk6dJ0wpXs0kx9sjJMNL7Iyvb8ib9jY/UOiombWIw/m8SJS6PeQ60UE1xFS1H8kL9g1w6/36jX8HD4n7BxYzpJ03j/F6pWdbLpfyU9RtJnzezF7r4nu9PM+iR9SlJvciyAmnV3p8Ut8/KFN7NLNhFVVCR1z54QIGWPMxuZhMonpKruKdTXJ61YEZZGhobSAK9RL6nNm8Pril3mb7218ePNm5cGeUXB3qJFU7c3y2SCx0ZX0bPdvbMBZAwWs/uyVw3LEhNH2SVOu9uoUOpU/bkB6Exx+MxEEwzZnp2Nakc1Kkgdb4/1P3usJEJREmtwMMQa2e1jPX6joVjZL+zZ3rd1DQfs6wsz+o03q9++fekFsuyyaVN6O8ZfGzeGpZFY67IoEbVsWeg9VfdnXUzAlBkjxjgiJp6y6+z+ottRo15PY/WmzieYgPHEC+AxibRx48jb2Ull2kGpySYzu03SN939H5NNX5D0EknPlHSDmZ2fbD/BzD6ebD9M0s/c/etltgVA+cYqvJlNRO3ZMzIRla0lEa9kxu798fbu3SEgyl7VjN1/i3pFzZjRmmKE3d3jX4V0T3t15RNS2XW2ftbtt4/9fNngLs64F5ep1DtqPGUHjY26qk9kG1cHO4N7+F810ZmngE7X1ZV+Dk9Wvp7PWD1ii2rdjdXDShrd+yWfrMqvs8O3xkpWjVdgvY4LETNmjH/hbHAwJJyyNS7j7dhze9eu8WtddnenvbVjfLJ0aUiITeUYJZv4Aep24ECYFCnbMykmle69d3QB96yurvD3GP8nxOU972ld+7PK/qq2VpkaTe4+ZGbPkPRfkl4k6a+SXScmiyR9W9IrS24HgBYbKxEVZ8gpWvbuHRkwZqd6zialdu4cPWV0rBGQT0LF+62aGcMs7Q125JHFx7iHAK4owMtuGxoavz7DokUhwItXPOPtmJRq99pRVSoaJofOMzCQJpG2bBk55CS77NtXd0uBzhST+gejaOa08XpX5e83qv+TT06NVXS52ZnZsrOnZWdnzS5VJTt6etJkUCMDAyMnXskvMUaJswM3smBBGo8ccsjI28uWlVfMHJjKBgbC31F+uNvGjeHvbazaZD09o5NJK1ZIy5eHv7F2mhmw8qa4+25JLzGz90h6mqQjJXVJWi/pR+5+ZdVtAFCv3t4QfCxYULw/1mzIJqCyt7P/cOMUrfmeUTt2hPuNklFxifWjqphFbyxm6Sx7a9cWHxNnqMkGd/fdN/L+3r1p7YYbbyx+niVLRiajli9P14sWceUOU9f+/Y0TR9klO9HBeObMCUnyZqYsB9A+Jjsza1a2h1V+2viiqeaztawazTraqOZfvN3fH4qAFyWn4hC+mIyKw7fjBbWDfb1jmTlTWrMmLEWGhkK7s3FJ/vbevWlJgZtvbvw8jUoJxPqWnXzRDFOLe/i937kz9A6M6+ztovV4w92yPRazyaSVK9tjOGuzWpb3cvcbJN3QqucDMHXERNCiRaP3uafJqHwSarxkVHbZtm10cJidRS+flKoj0OnuHvvKo3sYbnjvvSGoiz2gsrf370+7yF9//ejH6O1NE0+HHBI+vGJ32+XLp2b3d0wP8Spf9ip6vlfSrl3NP97MmelMkWMt8Xf+mc+s5nUBaF8H08MqJqjGWrIXxrIlBaSRPbOySa34uHHilXyNqzj0PD/hSrZndxU9h+IQuiVLpOOPH70/xijx/3h+vWlTSEINDITk/lgJ/jjhSragef4+CSmULc7CPV6yKL9trGFtY5kzp3EPpUWLpkcPwDbqZAUAo5mNPcOOe/hgKEpExdvZujz5IXoxkZUvXp7tFZWdir7KQG48ZqHA+Lx50v3uN3q/e7jqmE9A3Xtv2i33wAFpw4awFFm0KHzIFS0LF06PDz60XqxrFr94FH0ZaTaRFKcaHy+J1KpZlQB0pliTqdn/NcPDaQySn0QlfztbXsB9ZI+q7DIwEBI42USW2ejSAtkLa1UNscnGKEcdVXzMvn0jywjkSwls2hReVzMTrixYUPxZkN02f/7U6QGC5mRj+b1701mxy1jGmw1zLL29aUmNefPSdfZ2fv+sWdM/rq7i381cMxtjsvHG3P3OshsDYHozC/+sZ80qrhc1PJzOhheXWMR8z56R3VizxcvjB0+c5SXbKyqbAJsxIzx3vF/nlTazkCxatEg67rjR+wcHQzAXk09xuffeME68vz8dovfHP44+v68vTTzFIXrZZdas6l8j2lOctXGsK9oDA+M/TpwJKdb2yH5xiGvqfQCYirq60lihUVmBKPawiBfT4jouAwMjL5BlE1nZOKa/P8Qw+clX8hfSWhXDzJghrVoVliL5CVdiT+38/WxC6rbbGj9fV1f4Yr9wYVrOId5euHDkl/+4kJw6OPnfxXyCNZtczf++Fm3LxuN7946u31qFmTNHJ4mKEkjZ358ZM4hNilSRbHpeskyUi55WAErW1RWuOja68njgQPjwyiagsrdjgil+eGY/LAcGwhfse+9Nj+vuHpl8yi5110rq6UmTRSecMHr/rl1pAioWKYw9o2Jwd+edYSkyf35xEirWZmjUOw3tLQb/cShbvPqcTSjlZ5JsZOHC0cVis+s5cyp/OQDQ9mJtpnnzGh8T45fYizvbq7u/f2QyanCwuBdVHKYX5WOYeHvGjNbEMM1OuLJ7d5p42ratuHbf9u0hdotJqWbNmZMmE+bODfdjHDl79uj7scd7donDHOtOXLmnMzPGAvdFPfyLkkNF2/K3i/blh4tWqa+vON4+mKWuUhrTVRXJncnm9MgFAmi5GNDNnz963/BwGrzF6YCzt+OVleHh4u6827alX8Bjt/bYCysGcbNm1R+MRPFqzdFHj9534EBILGR7RWWH6e3eHcat79zZuCjovHkji4Dmi4MuXNg+70UniEUtG83YFrdt29Zc8BjreRQlkeL02H191b8uAOgEY8UvUlqMPD8LcH//yBIDsVd3vidVPobJ9uTOJqRaPfNVdrjeEUc0Pm5oKE00bd9efHvHjrT2Tn9/OC/GeBs3Hnxbu7pGFnnPLj094bV0dYV1fonbY22vbMIov87OnJhf1ym+7vi7UlQrtahuan5/o6QQMWP7q+Lfw7ckvaWCxwWAlurqClew5swZXbQ71oravTss/f3p7b170+PilcdsEJefcj2bhJo1K1wpmzmzvT5Ee3vDDBgrVxbv7+8fmXyKSxxCtWdPWlSxUZf3mKzIzkizaFFaeyHepoj5+OLwz3ziKL80M7Qtmj8//VnkE0pxyFs7/c4CQCfr7Q0XcRYuHL1veHjkxbNsDJP9XMjGMLH31JYtI0sQ9PaOjGHiUvf0693d6WdWM4aGwuvPFn+O8V1RKYaYtIvF32MdrezFmXjRMhsX1q2nZ3Rh+XyB+Wzip9G+onOz+1o96zPaUxX/Bna7+x0VPC4AtI1srah8ImpoaGTgll3iVcKhodE1GLZtG3klbcaMkHjKBm/tMByvyJw5oct7o27v/f2ji4Jmi4Nu3hzek1g8erzniomnRYvC1c2YFIxd3uM63p41qz3ft2bt3z/yC0EMdHfsKE4kxSu0zZgzZ+xC2zHpR7dyAJgeurrCZ+PcuaP3xaRL0RJ7dMcYJhvH7NgRPr9jj6l2TUI10t2d1nU6GMPDowu6x5mS80kp95HL8PDo+11d6ayJPT3jr7u6xj8OaJU2/XMHgKmruzutOZCV7Q0Ve/nEJXZ1HhoamYDasyedRU5Ki5PHJFSsGdDuw5Ni4ufww4v3xwLT2SRUHMKVTaJkky6NZtQrEmt35ZNS+QRVX9/IKaZjwDfR+xM5JyYns0tMJsWrqpPpCt/X13jWtux2amkBAKJGSZc49DomnmLPn927055OsaxAto7UWEmobEmB6XJBIw6doxc2QLIJAFpmrN5QsVBn7Lodl9gTanBwdAHQ7dvT/d3dIwtWtls9qPF0d4eaPkuXSscfX3yMe3jd2QTUtm0jkzLZ23G9f38IgGNQPFWZjUyYxSKm+dna4jJ7NjOjAADKET+DZs8OQ6iz9u8ffRFt167GSaiBgRDvZJNQPT2jE1CxNg+AqYlkEwC0gVjwMJuEilcR8wmobFf2WJg8JqDyVxDjULz8zClTkVmaZFm9uvnz8kPQxlrHwDgW6Mw+d7w/1rqZY/LHxkRhNokUZ7vJ9rxq1yGUAIDOFnvSLlkycntREmr37rRuZezxHS+mDQykw+5jHNPVNToBNWtW62bIAzB5ZSeb7pS0ueTHBICOlL2KuHx5uj320ok9oeISi3oWDcXbuLFxL6jYE2q6Bm2xUOWiRXW3BACAzjFWEipbUiDejnGMezgmm4Tau3dkj+78DHnZZboMyQOmulKTTe6+tszHAwCM1tWV1oRatSrdvn9/mnjKJqJiL6j9+0fOqJLtBZWtBZVdCNgAAECZ+vqKZ4o7cGB0Pag4KUbs6dRolt/9+9NjurtHJqGyM6UR1wCtwzA6AJgm+vrSukeRe+iSHhNPO3YU94LKJqGyVw57e4trQVELCAAAlKm3N/RCzvdEztZdzCej4gW1WBcq2xNqYCDENNlJNrq708TTzJkhdpoxI11PlVqXwFRAsgkApjGzdHrjlSvT7dleUDEJtWtXOlPavn0hSRUTUVu2SPfckz5mdia8mITiaiEAAChbtkd3VqxtGWsvZpd4UU0KF9AGBkJsE9f79o3uESWlyag4BD8uvb3puodv0JhCkhmt59bx3PypAEAHKuoFFa8cxt5PcZ18SGlwMJ1JJvaC2ro1vaoYpzPO9oCaSjPiAQCAqSNb2zI/y+/QUDo5SH9/GrfEC2kxweQe4px9+0LiKa5jcfP9+9Pe3lFX1+jkU1x6e0Pck78NVCXWOIvJ1GxCdWDgT3F6g7meq8WvPgBAUuMrh3FGvOzS3z+yF1QM4vbulbZtk+69d+SMeNnkU5xJhiQUAACoQnd3cUwjhS/f8cJZdp1dsr2dhodDQiomoeLtAwfCMjAQ1kND6QW4LLM0GdXdnSaourtHLl1dxfe7usJCCYPOFYeJ5hNJAwMje+eZpUNC584NF5WTWaivraPdJJsAAGOKSaJDD023DQ2lRcizxcj370/35wO3LVvS/VL4MMwmoWIiiiuAAACgKl1d0pw5YSkSL6RlC5EXLdlaUNHQUFgGB8Ny4EBYx23x/p496bHDw6N7TxUxS5NOcR2TUXFbdmlmW7P3Ub3BweKEUuxtF3V1pTXHFi1Kb8daZDEp2dUVYuvk9/z6Gl4SySYAwMR1d0sLF4Yla9++0Qmo3bvTIComobLFO/M9oeJwvFmzRk5r3NfHVT2Uyz0N/iUtqLk5AIA2EGfonTlz7OMGB9PeTtkeT2NtGyupFJNP+STU8HBY3NPb2SW/fXAw3TY0lN7Orif6fsTlYBJXE12movzPIvvzy9+OyaWYVMoXso8JpHnzRhe1zx43Z04YShoTqPF2dkIfd3o2AQCmuBkzQt2EbO0E9/AhGmeP2bUrvR3rQQ0PpwmouMRZ87Jdg+MHbXaJhTxJRCHKJpGyQx2KbmeC7mNqbDIAYIqJQ+Nmz27+nOHhNPEUez+Nt8TkRD4Bld02EdmESD450ux999GJrJhAKdoftzWb6Mr23prIEpNURetmHyP+nPIJorGSR9nEXjPiEMkY1y5cODKhlO3l39fXOKGUDJFrWySbAACVirPXzZolHXLIyH35JFRcx+7CsehhtuBhrAuVH6Mei3XGD+v8bDLUiJr6ipJI+QRSDODzAV9vb7rMmhXqeGQLvEq6qoaXBADoIF1dzfWamohsQme8pFTZ64n2kirqmTXeEpNUzS7Z9sXnjOvxzo3yvbKytbNi0fei7ePdblR/a+bM0YmkeHsqz/ZcarLJzJoYbdqQuzvJLwDoIDHgys8iE2eByc4ks3t3WGeDhpiIikmG2B15165RvVbU05MmoPLrTMIBLRYTSNlaFnEdE0eNkkix6GpMIs2eLS1YMDKJ1NeXBoVZ2SuISdB/XQtfNgAApYi1m2Lx8VaKPZjGS0wVDQ8ca2k0hDC/ruL1SM31ls++7zEBVXS70f3YK2727Ol7QbTs5M7BDGKobQCEmT1U0jslPUrSTEm3Sfpvd/94XW0CgE7W1yctWRKWrDgkL5uAys4mE4flxWPz0xjHZFS+Z5SUFlzMTmGcX/LTGU/VmgJVGit51Ghb/spoNonU15cmkWICKZtMygeE+SRSHGqZvd/XN/pn564bqn1n6kGMAwCoSvy8rkujJNTBrN2bSxYRA46v1F8Ndx/1lpvZhyS9XtJ/STpH0u3JrrWSXiHptZI+7e7/UGZbmmVmT5b0PUlXSHqPpN2SjpK0uo72AAAayw7JW7p09P7BwZF1n7LTGe/ZExJN2cTGgQMjk1FxSFacKSYmQxoV9MxfoWqUoMpOc9zT0571pYoCrny9hWw3/XzSqNnkUVzPmjXyfnadD1zjVL5FyaP87XZ8b+tCjAMAmM5i7yK0p0rzkGb2SklvkvQkd/9FbvdVkv7ezM6T9DMz+6O7f67K9hS0b76kL0r6gaTnu3sFnfEAAK3S0xNm7Zg3r3h/vhB5Phm1d29xt+xsb53s9MVFt+OMIrFIZpF8gio780q+iOV4RS6bKejZbNHPZjVKHhUljuI6L/YkKxrWGNdFU/miOcQ4AACgTlV3enu9pF8XJJr+xN0vNLNfSfprSS1NNkl6saRDJb3N3YfNbI6kvQRkADA9dXWl4+Mbib12iqYtzhemzt4uStbEKYjjYxYlp+L+fDHLfLHLuD27Xxo5Y0tcxyF+zUxDPJljiq4iNpM8yt6us9t9hyDGAQAAtak61DtO0rlNHHeXpGdW3JYiT5S0U9IqM/uuwrTH/Wb2JUl/5+4DzT6QmY3XJX35pFsJAGiZODRuojPFZGdEazZZla0xNRnuE+/xk58dZax1o329vaMTSSSP2g4xDgAAqE3VoeGgpAc1cdwDk2Nb7WiF9+BchV5V/yzpNEl/I2mhpL+YwGOtL7ltAIApJDsjWrPc015O2WFt+fpJjW67TzxhxHC0jkGMAwAAalN1sum3kp5sZn/baNYTM/sbhYTU+RW3pchcSbMlfcbd/zbZ9h0z65P0WjN7h7vfXEO7AAAdIBa+BipAjAMAAGpTdbLp3QrduD9iZi+U9BWNnI3uJZJOUejV9N6K21Jkb7L+am77VxRmyTtFUrOB2Jpx9i+X9PvmmwYAADBpxDgAAKA2lSab3P03ZvZiSZ+VdKpCYJNlCtPwvtrdL6myLQ3cLekBku7Nbb8vWS9q9oHcfcNY+41xCwAAoHWIcQAAQG26qn4Cd/+mQlHKt0u6QNKNyfJzSe+QdKy7f73qdjTwh2S9Krd9ZbLe1MK2AAAAlIUYBwAA1KbyZJMkufu97v4+d3+yu98/WZ7k7u9193ta0YYGvpGs/zK3/a8UhvZd2NLWAAAAlIMYBwAA1KajJyp29yvM7POSXmVmPZIuUpip5QWS3u/ud9fZPgAAgMkgxgEAAHVqSbLJzOZLeqlC3aZlki5w9w8m+45RKBZ+sbsPtKI9Oa+TdKekV0p6jqQ7JP2du3+0hrYAAACUhRgHAADUovJkk5k9WWHmk0UKBcFd0l2ZQ46V9F1Jf6G0y3fLuPsBSe9KFgAAgGmBGAcAANSl0ppNZna8pP+TtEDSpyX9uULCKevHkvZIelaVbQEAAAAAAED1qu7ZdKakmZJe4O7fkSQzGzHznLvvN7MrJZ1QcVsAAAAAAABQsapno3ucpKtiomkMGyStqLgtAAAAAAAAqFjVyaZlkm5q4rgeSXMqbgsAAAAAAAAqVnWyaYekVU0cd6Sk+ypuCwAAAAAAACpWdbLpckknmdlhjQ4wswcq1Gu6tOK2AAAAAAAAoGJVJ5s+q1Ag/Ktmtjy/08yWJsdYsgYAAAAAAMAUVmmyyd2/Jembkk6RdKuZ/STZ9UgzO0/SbZJOlvQVd/9xlW0BAAAAAABA9aru2SRJL5b0/uT2E5P10ZJOl9Qn6T8lndGCdgAAAAAAAKBiPVU/gbsPSXqbmX1I0uMUioF3SVov6QJ3pzA4AAAAAADANFF5sily922SvtOq5wMAAAAAAEDrtWIYHQAAAAAAADpEqT2bzOywgznf3e8sqy0AAAAAAABovbKH0a2T5JM819XCYX0AAAAAAAAoX9nJnTs1+WQTAAAAAAAAprhSk03uvrbMxwMAAAAAAMDUQoFwAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAAClqTzZZGa9ZvZmM/utmW0zs6EGy2DVbQEAAAAAAEC1yp6NbgQzmyHpAkmnSLLxDq+yLQAAAAAAAKhe1T2b3ijpVEk/kXSspC9KckkzJD1Q0gck7ZP0HndnSB8AAAAAAMAUV2nPJkkvkLRL0ovcfYeZuSS5+wFJ10v6ZzO7RNJ3zewad/9Wxe0BAAAAAABAharuTXSMpEvdfUdy3yXJzLrjAe7+PUlXSPqbitsCAAAAAACAilWdbOqVtClzf2+ynp877kZJD6q4LQAAAAAAAKhY1cmmjZJWZO7fk6yPzx23UlK3AAAAAAAAMKVVnWz6o6T7Ze5fojDr3FvNrEuSzOyxkh6t0LsJAAAAAAAAU1jVyaYfS1ptZicn9y9UKAz+DEl3mdkfJP1UIQH1qYrbAgAAAAAAgIpVPRvdVyRtkbRDktx92MyeLenbCjWaDpU0JOnj7n52xW0BAAAAAABAxSpNNrn7Zklfzm27RdIJZnaspMWSbnL3LVW2AwAAAAAAAK1R9TC6htz9Rnf/TbslmszsbWbmZnZt3W0BAAAoCzEOAABoldqSTe3IzFZLOlNSf91tAQAAKAsxDgAAaKVKk01m9gYzGzKzZ4xxzDOSY15bZVua9CFJv5V0Wd0NAQAAKBExDgAAaJmqezY9S9ImST8Y45gfStos6TkVt2VMZvYYSc+X9KY62wEAAFAmYhwAANBqVc9Gd5yka919uNEB7j5kZtdIOr7itjRkZt2SzpL0WXe/xswm8xirxzlk+WTaBgAAMFnEOAAAoA5VJ5uWSbqoieM2SnpkxW0Zy+skHS7piQfxGOtLagsAAEBZiHEAAEDLVT2MbpeklU0ct1LSnorbUsjMlkh6t6T3uPumOtoAAABQNmIcAABQl6p7Nl0l6VFmtsbdC6+KmdkaSacqFK2sw3slbVXoYn4w1oyzf7mk3x/kcwAAADSLGAcAANSi6mTTVyQ9XtJ3zOwZ7r4xu9PMlkv6tqTe5NiWMrOjJb1GoWDmykwdg5mSes1sraSd7r51vMdy9w3jPNdBtRUAAKBZxDgAAKBO5u7VPXgoSnmhQj2mvQqz0t2Q7D5O0tMkzZb0G0mPdffByhpT3L7TJP1inMM+5u5vKuG5ViupebB+/XqtXj1erU0AANBC0ypjQowDAAAStcQ4lfZsSmaae7qkL0h6jsK0uzG7FV/wuZJe2epEU+LapF1575U0T9IbJd3a0hYBAAAcPGIcAABQm6qH0cndd0p6npk9WNJTFGZEkaQ7JZ3v7ldV3YYx2rZZ0nfz283sTcn+UfsAAADaHTEOAACoU+XJpsjdr5Z0daueDwAAAAAAAK3XsmTTVOLup9XdBgAAgLIR4wAAgFboauWTmVmPmb3ZzH5pZn80s5+a2ata2QYAAAAAAABUp9Rkk5k918zuM7P3FezrUpiN7oMKs9MdK+kJkv7HzM4usx0AAAAAAACoR9k9mx4naYmkbxXse7WkJynMQneepDcoJJ72SnqZmT255LYAAAAAAACgxcqu2fQISfe4+xUF+14rySV9zd1fEjea2e8UklMvk/STktsDAAAAAACAFiq7Z9MKSVfmN5rZUkkPSe7+R3afu39H0jqFRBUAAAAAAACmsLKTTUslbSvY/vBkvcndryzYf72klSW3BQAAAAAAAC1WdrJpSNKygu0PTdaXNzhvu8of0gcAAAAAAIAWKzvZdIekh5pZX277ExTqNV3a4Lylku4tuS0AAAAAAABosbKTTb9QmI3uPXGDmT1O0mOTuz9ocN6Jku4uuS0AAAAAAABosbKTTR+VtF/SP5jZejO7XNKPk32Xuvtl+RPM7BSFoXeNej0BAAAAAABgiig12eTut0h6iaR+SasUZqDrUei19IoGp702WV9QZlsAAAAAAADQeqUX5Xb375jZrySdLulQSXdK+q679zc45XeSrpD087LbAgAAAAAAgNaqZAY4d79P0uebPPZTVbQBAAAAAAAArVd2zSYAAAAAAAB0MJJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFCajk42mdnDzewTZnadmfWb2Z1m9g0zO6butgEAAEwWMQ4AAKhTT90NqNk/SnqkpG9KulrScklvkHS5mf0/d7+2zsYBAABMEjEOAACoTacnmz4s6cXuvj9uMLOvS7pG0j9JemldDQMAADgIxDgAAKA2HZ1scvdLCrbdbGbXSTq+hiYBAAAcNGIcAABQp45ONhUxM5N0qKTrJnje6nEOWT7pRgEAABwkYhwAANAqJJtGe4mkVZLeMcHz1lfQFgAAgLIQ4wAAgJbo6Nno8szsOEmflPQbSefU3BwAAIBSEOMAAIBWomdTwsyWS/qBpB2Snu/uQxN8iDXj7F8u6feTaRsAAMBkEeMAAIBWI9kkycwWSPqRpIWSHu3ud0/0Mdx9wzjPMbnGAQAATBIxDgAAqEPHJ5vMbKak70k6RtIT3f36mpsEAABw0IhxAABAXTo62WRm3ZK+LukUSc9y99/U3CQAAICDRowDAADq1NHJJkn/KemZClf9FpvZS7M73f1/a2kVAADAwSHGAQAAten0ZNNDkvUzkiWPQAwAAExFD0nWxDgAAKDlOjrZ5O6n1d0GAACAshHjAACAOnXV3QAAAAAAAABMHySbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFAakk0AAAAAAAAoDckmAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAAClIdkEAAAAAACA0pBsAgAAAAAAQGlINgEAAAAAAKA0JJsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAAStPxySYzm2FmHzCzu81sr5ldamZP7mj3DwAAFx1JREFUqrtdAAAAB4MYBwAA1KXjk02Szpb095K+LOmNkoYk/dDMHlVnowAAAA7S2SLGAQAANeipuwF1MrOTJb1I0lvc/UPJti9KulbSByWdWmPzAAAAJoUYBwAA1KnTezY9X+Eq33/HDe4+IOlzkk4xszV1NQwAAOAgEOMAAIDadHTPJkknSrrJ3Xfmtv8uWT9E0vpmHsjMVo9zyKp445577mm2fQAAoAXWrFmzWtJGdx+suy0lIcYBAAC1xTidnmxaIakoKorbVk7gsZoK2CTp5JNPnsDDAgCAFlgvaY2kDXU3pCTEOAAAQKopxun0YXSzJO0r2D6Q2Q8AADrD8robUCJiHAAAELU8xun0nk17Jc0o2D4zs79Z49U+OEzSr5Pb/0/SXRN4bJRjuaTfJ7cfLmljjW3pZPwc2gM/h/rxM2gP2Z/DpjobUjJinM7D/5T2wM+hfvwM2gM/h/rVGuN0erLpHmXqDGSsSNZ3N/tA7j5mlzQzy969a7zjUb7cz2AjP4N68HNoD/wc6sfPoD3kfg5DdbWjAsQ4HYb/Ke2Bn0P9+Bm0B34O9as7xun0YXRXSjrGzObntj8isx8AAGCquVLEOAAAoCadnmz6lqRuSa+JG8xshqRXSrrU3ZsuiAkAANBGiHEAAEBtOnoYnbtfambflPR+MztE0i2SXiFpraS/rLNtAAAAk0WMAwAA6tTRyabEyyW9R9LLJC2SdLWk09394lpbBQAAcHCIcQAAQC06Ptnk7gOS3pIsAAAA0wIxDgAAqEun12wCAAAAAABAiUg2AQAAAAAAoDTm7nW3AQAAAAAAANMEPZsAAAAAAABQGpJNAAAAAAAAKA3JJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNyaYWMLMZZvYBM7vbzPaa2aVm9qS629UpzOzhZvYJM7vOzPrN7E4z+4aZHVN32zqdmb3NzNzMrq27LZ3GzB5qZueZ2VYz22Nm15rZ39bdrk5hZkeb2dfMbEPy/t9gZu8ws9l1t206MrO5ZvYuMzs/+Z13MzujwbHHJ8ftTo79kpkta3GTpwxinPoR57QnYpz6EOPUjzintdo1zjF3r+JxkWFmX5X0fEkflXSzpDMkPVzS49z9V/W1rDOY2bckPVLSNyVdLWm5pDdImivp/7k7QUANzGy1pBsluaR17v7AmpvUMczsyZK+J+kKSV+XtFvSUZK63P2tdbatE5jZGoX/RTskfUbSVkmnKHw2nOfuz6qvddOTma2VdLukOyXdJuk0Sa9097Nzx61W+LvYIenjCp8T/5Ccd7K7729Zo6cIYpz6Eee0H2Kc+hDj1I84p/XaNc4h2VQxMztZ0qWS3uLuH0q2zZR0raT73P3UOtvXCczsVEmXZf94zOxoSddI+pa7v7S2xnUwM/uapGWSuiUtJRBrDTObL+kmSZdIer67D9fcpI5jZmdKep+kB7r7dZnt50h6uaTF7r6trvZNR2Y2Q9Iid99oZg+T9HsVB2GfUgiGj3P3O5NtT5T0U0mvdff/bmnD2xwxTnsgzmk/xDj1IMZpD8Q5rdeucQ7D6Kr3fElDkv70g3P3AUmfk3RKkvlFhdz9knyW1t1vlnSdpOPraVVnM7PHKPxtvKnmpnSiF0s6VNLb3H3YzOaYGZ8FrTU/Wd+b236PpGFJ9J4pmbvvc/eNTRz6PEnfjwFYcu7PFL68vLCq9k1hxDhtgDinvRDj1IoYpz0Q57RYu8Y5/PFV70RJN7n7ztz23yXrh7S2OZAkMzOFD6PNdbel05hZt6SzJH3W3a+puz0d6ImSdkpaZWY3KnQv32lmn056JKB6Fybrz5nZQ8xsjZn9uaS/lvRxd++vr2mdy8xWSTpE0mUFu3+n8HmOkYhx2hRxTj2IcWpHjNMeLkzWxDltpI44h2RT9VYoZHHz4raVLWwLUi+RtEphLDda63WSDpf09rob0qGOltQj6VxJP1a4wvF5hZ/LF2psV8dw9/MVfv+fpDBu/k5JX5N0lrv/XZ1t63ArknWjz+zFSTd1pIhx2hdxTj2IcepFjNMGiHPaVsvjnJ4yHwyFZknaV7B9ILMfLWRmx0n6pKTfSDqn5uZ0FDNbIundkt7j7pvqbk+HmitptqTPuHucmeU7ZtYn6bVm9o5k+AWqtU7SxZK+LWmLpKdLOtPMNrr7J+psWAeLn8fjfWYX7e9UxDhtiDinHsQ4bYEYp32sE3FOu2l5nEOyqXp7JRVlCGdm9qNFzGy5pB8oVOB/vrsP1dykTvNehRkpzqq7IR0s/s/5am77VyS9VmG2EAKxCpnZixRq3Bzj7huSzd9J6kp8wMy+6u5b6mthx4p/G3xmN48Yp80Q59SKGKd+xDhtgDinbbU8zmEYXfXuUdplLStuu7uFbeloZrZA0o8kLZT0FHfnvW+hZGac1yhMs7nSzNYm03TOlNSb3F9cZxs7RPy9zxdtvC9ZL2phWzrV6yVdkQnAovMUrshSG6gesVt5o8/sre5Or6aRiHHaCHFOfYhx2gYxTnsgzmlPLY9zSDZV70pJxyRTcWY9IrMfFUuKAn5P0jGSTnf362tuUidapfA/5+OSbs8sj1D4udwu6R21ta5z/CFZr8ptj7VV6PpfvUMVpsPO603W9DqugbvfpfD7/7CC3SeLz+siV4oYpy0Q59SOGKc9EOO0B+KcNlRHnEOyqXrfUvhje03ckBTeeqWkS919fV0N6xTJzCBfV+g6+wJ3/03NTepU10p6TsFynULhwOcoTJeNan0jWf9lbvtfSRpUOoMIqnOTpBPN7Jjc9r9QmBL46tY3CYlvSzrdzNbEDWb2BIUvi9+srVXtixinDRDntAVinPZAjNMeiHPaV0vjHHP3sh8TOWb2DYUPmY9IukXSKxSyh09w94vrbFsnMLOPSnqjwhW/b+T3u/v/trpNSJnZhZKWuvsD625LpzCzz0l6lcLfw0WSTpP0Aknvd/cza2xaRzCzx0j6uULBzE8k69MlPVVhuuxX19i8acvM3qAwvGilwvTL31GYJUcKM+TsSIKvKyRtl/QxhWKzb5G0QdLDGUY3GjFO/Yhz2hcxTusR49SPOKce7RjnkGxqgaRr83skvVRhrPDVkt7u7j+utWEdIvmgf2yj/e5urWsN8gjEWs/MeiWdqdD7YKWkOyR90t0/Wme7OomZnSzpnQp1C5YoDLE4R9IH3X2wxqZNW2a2TmFK8iJHuPu65LgHSPqwpEdJ2q9QbPnN7p6vAQIR47QD4pz2RYzTesQ47YE4p/XaMc4h2QQAAAAAAIDSULMJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFAakk0AAAAAAAAoDckmoM2Z2Toz84Jlt5ldZWbvN7MlDc49Ozn2jBY3u2lmtjZp47oJnreu3V9bIwf7czGz/zOzvWa2uuSmTZqZHZG8ph9O4Bw3My/YPqGfrZl91swGzexBE2gyAKBmxDgNzyPGIcaJxxPjYMoi2QRMHb+WdE6yfEnSbyUdLemfJF1tZkfW2Da0iJk9UdKzJX3C3TfU3Jys5yXrb9fw3O+UdEDSx2t4bgDAwSPGATFOsXeKGAdTVE/dDQDQtM+6+9nZDWa2XNJFko6R9EFJz6+hXWitj0gakPTvdTck53mShiSd2+ondvcNZvZZSW8ws2e6+3mtbgMA4KAQ40AixhmFGAdTGT2bgCnM3TdK+o/k7hPqbAuqZ2ZPkvRASd919y11tycys1WSHiHpYnffXFMzPpes31TT8wMASkSM01mIccZEjIMpiWQTMPVtTNYT7qloZi8yswvMbKuZ7TOzO8zs82Z2zBjnLDazfzOz68xsj5ntMrM/mNlbzWzWGOedbmYXJcfvMLNfmtmzJtrmg2Fms8zszWb2WzPbbmYDZnajmX2wqCaEmfWa2UvN7MtmdoOZ7UzqCNxoZh83s5VjPNdiM/to8p7uM7M7zewTZrb4IF7CG5L12Q2es7A+QGb/hckxpxXsW5K8pjszvwsfNbOFTdRfeI4kU0H3cjM7xcx+lLzfu83sMjN71dgvc+Lc/UpJV0l6nJkdX/bjAwBqQYzTJGIcYhyg3TCMDpj6Tk7W1zV7gpmZwof5yyUNSrpY0n2SHirplZL+3Mye5+7n5847UtLPJR0uaZOkH0rqlfQ4SR9Iznuiu2/Lnfd3kj6c3P2dpFsVajF8N7O9UknQdL6kB0naKun3knYpvOa3SHqBmZ3m7ndkTjtUoXbEDkl/lHS1pDmSHiLpbyS9yMxOdfdbcs91qKRfKrzGbZK+r5Dcf4mkp2gCP6vMY86U9GcK4/Yvnuj54zz2CoX2HqXw3sT2vlyhvX8c5yGeJ8kl/V/ucV8g6auSuiVdK+kaSWskfdbMHlDiS4h+KukEhXoP47UZAND+iHGaQIwz5mMT4wB1cXcWFpY2XiStU/iQOyOzrUvSKoWrQAMKwdTpBeeenT832f66ZPsmSQ/JbDeFQoSuEEAsy53322TfuZLmZLYvk/SHZN+Xc+c8OGnfkKTn5/a9RNJwct66g31fxjjWJP0qOf6zkuZl9vVI+lCy7+e58+ZJeqakvtz2Xkn/lpzzg4Ln+2ay72JJCzLbF2few6banjn3Cck5vxvjGA//1hvuvzA55rTc9u8k238haX5m+0KFAK1he5Of/aCkX+e2L5e0Mznv7wpey95G7Z3IzzZ33nOS835W1t8fCwsLC0t1S9H/exHjTOhzUMQ4cf+FIsZhYWmrhWF0wNTxhUwX4iFJGySdpXAl6rHu/v0JPNY/JOt3e+iaKyn5RJTelTzmQkmvjvvM7FEKY9b3SHqNu/dnztsk6TXJ3RfZyOlq/0bhqs833f1b2Ua4+5cltaLQ4Z9JeqSkKyW9zt13ZdowKOmtClelHmdmD8zs2+Xu57n7/ly7D7j7mZLulvQUM5sX95nZGknPVQgIXufuOzLnbVUIgifjxGRd6tUsMztc4SrZsKS/dvedcZ+7b5f01wqvpZFnK/x8v5Pb/pcKgexv3f0j2R3ufoGk/zrIpheJV1MfWsFjAwCqQ4wzecQ4DRDjAPUi2QRMHdlpgc+R9ANJ6yU9XNJHzOzoZh4kCZKOSu6ek9+fBGNfSO4+LrPrtGR9vrvfW3DeHxTGk3dJemzBef/boEmj2lCBpyfrbyeB1wjuPqy02/ap+f1mdoKZ/b2ZnZXUezjbzM5WuGLYJel+mcMfk2y73N2vL3iuKxUC3Yk6NFmXXTTz0QpXRS939xvyO939Wo3d3ucm63wgdlqy/nKD86r4ucf3ZpGZ9VXw+ACAahDjTB4xTmPEOECNqNkETB1F0wL3SHq3pH+WdJGZHZu9otXAqmS9JXuFJ+fW3LHZ27eP8di3Kownz54XrwA2Om+sxyvLkcn6PWb2nnGOXRZvmNkchXoGzxnnnPmZ2+O93rjvweM8Zt6CZN3oZzZZsb3rxjhmncLPdQQzW6jQXfxyd8+/3jp+7tn3ZqFCjQ4AQPsjxpk8YpzGiHGAGpFsAqYwdx80s39R6Aq+QqHY4SfrbVVbir04f6U0yGwkW9jy/QpB2A2S/kmh4Obm2OXczC6RdIrCVbOqbU/W88c6aBxj9WYdqxt5o33PUKjtMGqGlposyNzeVlsrAAAHjRinacQ4ATEO0GZINgFTnLsPm9k6SUslNTMd6l3JeomZzW9w5e/I3LHZ20eqsUbnHSVprYpnKFk7VmNLsj5Zn+vuH5rAeS9M1n/u7kXdrIu69cfXvnaMxx1rXyPxCtao6YszDkjqNbN5Da7+Hl6w7WDa+7xkne9eHh/3uDHOHev5Jiu+N9vc/UAFjw8AaCFinKYQ4wTEOECboWYTMMWZWZfSD7Xd4x3v7huUXvk6o+DxLLP9F5ldFybrpyTT3ubPO1FhutxsbQBJuihZv6RBk14+XptL8KNk/YLk9TVrcbK+I7/DzP5MIfjNu1jhKtlDzey4gvNO0MS7l0vS5cn6/mMcE4OqUQG5mT1YYUrevDgTy0lmdkzBefdXcffyOZKeLOn6ojoIqufnHguf/qGCxwYAtBgxTlOIcYhxgLZEsgmYwpJ6Bu9VGhA0O+tJvPL19iQwiI9nkv5FIaDaLul/4j53/5WkSyXNkvRfZjY7c95SpTNvfM3d41U2KcwmMyTphWY2oi6Amb1IYaaPqp2r0D38ZIUZb5blDzCzRWb2uuQ9jeKsKH+TO/ZYSZ8peiJ3v1PS/yn8f/20mc3PnLdI0qc0uS7pl0jaJ+kEM5vV4JifJet/NbMZmeddq1CsctTzuvs6Sd/LtDc768wCSZ9u0N6nKfwuNOpe/jmFLwanmNnfZneY2Wma/Iw1Y4mFT39ewWMDAFqIGKdpxDjEOEBbsjApA4B2lXQfP1xhppZbMruWKFyNiVdy3ufu/5I792xJr5D0ymzhzSTgOkfSyyQNKlyhuU9hOtVjJe2V9Dx3/1Hu8Y5U+JA7PDn+YoXx7I9TGGd/uaQnuvu23HlvkfTB5O6lClcdj1Yyy4ykv5N0h7uvbfJtyb4vt0naNMahr3f3y81spcLsNg+R1K8wq8ydkvoUusY/SGF621nuPpA8x3MlfUshELlGoYv8IQqzm/xS0kyFD//HufuFmbYtV6idcJSkrQpXTE3hfdqSPM4zlfu5NPGaz03Oe1r+Z5PsP0LhZ7AweW2/VygG+nCF35/ZDdq7Mtm/NmnfRUl7H5vc/2PyvC9x968k53xN0p9Leoi7X9WgvS9SmKGnW+H9u1ahsOqjJX1U4ecud7fcees0gZ9t5ryrFK6oPqBolhwAQHshxilGjEOMI2IcTAfuzsLC0saLwiwZXrDsS/Z9TdJpDc49Ozn2jAb7/0KhG/k2SfsVPry/IOnYMdqzWNK/SbpeIWDrV/jw/0eFIKbRec9UCF52S9ql8MH/PIUPf5e0rqT3Jb+cljlnhqTXKgSTmxXG/98r6QpJn5D05ILnebTC1bRNyWu9RtKZCgHchfnnyJy3RNLHFWop7EvWn1a4Qjvmz2WM1/yk5Lyvj3HM8QpX4rZKGlAo/Pk2hYB5rPYuS96D2N47k/uLJV2QnPfkzPu4S9ItTbT5UZLOl7Qj87vymmSfK5mJuoSf7YnJtp/X/TfLwsLCwtLcMsb/e2IcYpyiY4hx2uDvloWl2YWeTQAwRSRXa69WuGK62t03t+A5FypcfVsg6VB332xmz1AYzvAf7v7WqtvQDDM7S9IbJD3L3ZsdagEAANoAMU5jxDiYqqjZBABThIerA3+vcNXtn8p8bDM7uWDbMoWhCIskfT8T+A1Iepekz5bZhskyszWS/krShQRhAABMPcQ4xYhxMJXRswkAphgz+z9JT5F0tIeZd8p4TJe0QaF2wRaFugMnSpqr0N38UT6yKGrbMLPPKswu9FAvnr4ZAABMAcQ4IxHjYCoj2QQAkJm9R9ITFAp+LlKob3GrpO9L+rC7b6mxeQAAAJNCjAPUg2QTAAAAAAAASkPNJgAAAAAAAJSGZBMAAAAAAABKQ7IJAAAAAAAApSHZBAAAAAAAgNKQbAIAAAAAAEBpSDYBAAAAAACgNCSbAAAAAAAAUBqSTQAAAAAAACgNySYAAAAAAACUhmQTAAAAAAAASkOyCQAAAAAAAKUh2QQAAAAAAIDSkGwCAAAAAABAaUg2AQAAAAAAoDQkmwAAAAAAAFAakk0AAAAAAAAoDckmAAAAAAAAlIZkEwAAAAAAAEpDsgkAAAAAAACl+f8BgXqX+1kVv2EAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -586,7 +581,7 @@ "\n", " # Plotting quantities\n", " treat = results_dict[result_class[i][j]]['Treatment']\n", - " mean = results_dict[result_class[i][j]]['CDRC']\n", + " mean = results_dict[result_class[i][j]]['Causal_Dose_Response']\n", " lb = results_dict[result_class[i][j]]['Lower_CI']\n", " ub = results_dict[result_class[i][j]]['Upper_CI']\n", " plot_mean_and_CI(axs, i, j, treat, mean, lb, ub, color_mean='b', color_shading='b')\n", @@ -658,7 +653,7 @@ "\n", "\n", "Mean indirect effect proportion:\n", - " 0.2026 (0.1831 - 0.2443)\n", + " 0.2021 (0.1916 - 0.2576)\n", " \n" ] } @@ -699,7 +694,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -735,9 +730,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python (v6l4188_causal)", "language": "python", - "name": "python3" + "name": "v6l4188_causal" }, "language_info": { "codemirror_mode": { diff --git a/setup.py b/setup.py index 92859f7..648a129 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="causal-curve", - version="1.0.1", + version="1.0.2", author="Roni Kobrosly", author_email="roni.kobrosly@gmail.com", description="A python library with tools to perform causal inference using \ diff --git a/tests/unit/test_gps_core.py b/tests/unit/test_gps_core.py index 5fc97df..f5af10e 100644 --- a/tests/unit/test_gps_core.py +++ b/tests/unit/test_gps_core.py @@ -43,96 +43,6 @@ def test_gps_fit(df_fixture, family): assert gps.gps.shape == (500,) -@pytest.mark.parametrize( - ( - "gps_family", - "treatment_grid_num", - "lower_grid_constraint", - "upper_grid_constraint", - "spline_order", - "n_splines", - "lambda_", - "max_iter", - "random_seed", - "verbose", - ), - [ - (546, 10, 0, 1.0, 3, 10, 0.5, 100, 100, True), - ("linear", 10, 0, 1.0, 3, 10, 0.5, 100, 100, True), - (None, "hehe", 0, 1.0, 3, 10, 0.5, 100, 100, True), - (None, 2, 0, 1.0, 3, 10, 0.5, 100, 100, True), - (None, 100000, 0, 1.0, 3, 10, 0.5, 100, 100, True), - (None, 10, "hehe", 1.0, 3, 10, 0.5, 100, 100, True), - (None, 10, -1.0, 1.0, 3, 10, 0.5, 100, 100, True), - (None, 10, 1.5, 1.0, 3, 10, 0.5, 100, 100, True), - (None, 10, 0, "hehe", 3, 10, 0.5, 100, 100, True), - (None, 10, 0, 1.5, 3, 10, 0.5, 100, 100, True), - (None, 100, -3.0, 0.99, 3, 30, 0.5, 100, None, True), - (None, 100, 0.01, 1, 3, 30, 0.5, 100, None, True), - (None, 100, 0.01, -4.5, 3, 30, 0.5, 100, None, True), - (None, 100, 0.01, 5.5, 3, 30, 0.5, 100, None, True), - (None, 100, 0.99, 0.01, 3, 30, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 3.0, 30, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, -2, 30, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 30, 30, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 3, 30.0, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 3, -2, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 3, 500, 0.5, 100, None, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, 100.0, None, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, -100, None, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, 10000000000, None, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, 234.5, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, -5, True), - (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, None, 4.0), - (None, 10, 0, -1, 3, 10, 0.5, 100, 100, True), - (None, 10, 0, 1, 3, 10, 0.5, 100, 100, True), - (None, 10, 0, 1, "splines", 10, 0.5, 100, 100, True), - (None, 10, 0, 1, 0, 10, 0.5, 100, 100, True), - (None, 10, 0, 1, 200, 10, 0.5, 100, 100, True), - (None, 10, 0, 1, 3, 0, 0.5, 100, 100, True), - (None, 10, 0, 1, 3, 1e6, 0.5, 100, 100, True), - (None, 10, 0, 1, 3, 10, 0.5, 100, 100, True), - (None, 10, 0, 1, 3, 10, 0.5, "many", 100, True), - (None, 10, 0, 1, 3, 10, 0.5, 5, 100, True), - (None, 10, 0, 1, 3, 10, 0.5, 1e7, 100, True), - (None, 10, 0, 1, 3, 10, 0.5, 100, "random", True), - (None, 10, 0, 1, 3, 10, 0.5, 100, -1.5, True), - (None, 10, 0, 1, 3, 10, 0.5, 100, 111, "True"), - (None, 100, 0.01, 0.99, 3, 30, "lambda", 100, None, True), - (None, 100, 0.01, 0.99, 3, 30, -1.0, 100, None, True), - (None, 100, 0.01, 0.99, 3, 30, 2000.0, 100, None, True), - ], -) -def test_bad_gps_instantiation( - gps_family, - treatment_grid_num, - lower_grid_constraint, - upper_grid_constraint, - spline_order, - n_splines, - lambda_, - max_iter, - random_seed, - verbose, -): - """ - Tests for exceptions when the GPS class if call with bad inputs. - """ - with pytest.raises(Exception) as bad: - GPS_Core( - gps_family=gps_family, - treatment_grid_num=treatment_grid_num, - lower_grid_constraint=lower_grid_constraint, - upper_grid_constraint=upper_grid_constraint, - spline_order=spline_order, - n_splines=n_splines, - lambda_=lambda_, - max_iter=max_iter, - random_seed=random_seed, - verbose=verbose, - ) - - def test_bad_param_calculate_CDRC(GPS_fitted_model_continuous_fixture): """ Tests the GPS `calculate_CDRC` when the `ci` param is bad diff --git a/tests/unit/test_gps_regressor.py b/tests/unit/test_gps_regressor.py index 700a18a..753e735 100644 --- a/tests/unit/test_gps_regressor.py +++ b/tests/unit/test_gps_regressor.py @@ -64,3 +64,93 @@ def test_point_estimate_interval_method_bad(GPS_fitted_model_continuous_fixture) observed_result = GPS_fitted_model_continuous_fixture.point_estimate_interval( np.array([50]) ) + + +@pytest.mark.parametrize( + ( + "gps_family", + "treatment_grid_num", + "lower_grid_constraint", + "upper_grid_constraint", + "spline_order", + "n_splines", + "lambda_", + "max_iter", + "random_seed", + "verbose", + ), + [ + (546, 10, 0, 1.0, 3, 10, 0.5, 100, 100, True), + ("linear", 10, 0, 1.0, 3, 10, 0.5, 100, 100, True), + (None, "hehe", 0, 1.0, 3, 10, 0.5, 100, 100, True), + (None, 2, 0, 1.0, 3, 10, 0.5, 100, 100, True), + (None, 100000, 0, 1.0, 3, 10, 0.5, 100, 100, True), + (None, 10, "hehe", 1.0, 3, 10, 0.5, 100, 100, True), + (None, 10, -1.0, 1.0, 3, 10, 0.5, 100, 100, True), + (None, 10, 1.5, 1.0, 3, 10, 0.5, 100, 100, True), + (None, 10, 0, "hehe", 3, 10, 0.5, 100, 100, True), + (None, 10, 0, 1.5, 3, 10, 0.5, 100, 100, True), + (None, 100, -3.0, 0.99, 3, 30, 0.5, 100, None, True), + (None, 100, 0.01, 1, 3, 30, 0.5, 100, None, True), + (None, 100, 0.01, -4.5, 3, 30, 0.5, 100, None, True), + (None, 100, 0.01, 5.5, 3, 30, 0.5, 100, None, True), + (None, 100, 0.99, 0.01, 3, 30, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 3.0, 30, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, -2, 30, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 30, 30, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 3, 30.0, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 3, -2, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 3, 500, 0.5, 100, None, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, 100.0, None, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, -100, None, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, 10000000000, None, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, 234.5, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, -5, True), + (None, 100, 0.01, 0.99, 3, 30, 0.5, 100, None, 4.0), + (None, 10, 0, -1, 3, 10, 0.5, 100, 100, True), + (None, 10, 0, 1, 3, 10, 0.5, 100, 100, True), + (None, 10, 0, 1, "splines", 10, 0.5, 100, 100, True), + (None, 10, 0, 1, 0, 10, 0.5, 100, 100, True), + (None, 10, 0, 1, 200, 10, 0.5, 100, 100, True), + (None, 10, 0, 1, 3, 0, 0.5, 100, 100, True), + (None, 10, 0, 1, 3, 1e6, 0.5, 100, 100, True), + (None, 10, 0, 1, 3, 10, 0.5, 100, 100, True), + (None, 10, 0, 1, 3, 10, 0.5, "many", 100, True), + (None, 10, 0, 1, 3, 10, 0.5, 5, 100, True), + (None, 10, 0, 1, 3, 10, 0.5, 1e7, 100, True), + (None, 10, 0, 1, 3, 10, 0.5, 100, "random", True), + (None, 10, 0, 1, 3, 10, 0.5, 100, -1.5, True), + (None, 10, 0, 1, 3, 10, 0.5, 100, 111, "True"), + (None, 100, 0.01, 0.99, 3, 30, "lambda", 100, None, True), + (None, 100, 0.01, 0.99, 3, 30, -1.0, 100, None, True), + (None, 100, 0.01, 0.99, 3, 30, 2000.0, 100, None, True), + ], +) +def test_bad_gps_instantiation( + gps_family, + treatment_grid_num, + lower_grid_constraint, + upper_grid_constraint, + spline_order, + n_splines, + lambda_, + max_iter, + random_seed, + verbose, +): + """ + Tests for exceptions when the GPS class if call with bad inputs. + """ + with pytest.raises(Exception) as bad: + GPS_Regressor( + gps_family=gps_family, + treatment_grid_num=treatment_grid_num, + lower_grid_constraint=lower_grid_constraint, + upper_grid_constraint=upper_grid_constraint, + spline_order=spline_order, + n_splines=n_splines, + lambda_=lambda_, + max_iter=max_iter, + random_seed=random_seed, + verbose=verbose, + ) diff --git a/tests/unit/test_tmle_core.py b/tests/unit/test_tmle_core.py index 815b9f4..df45497 100644 --- a/tests/unit/test_tmle_core.py +++ b/tests/unit/test_tmle_core.py @@ -24,78 +24,6 @@ def test_tmle_fit(continuous_dataset_fixture): assert tmle.fully_expanded_t_and_x.shape == (50500, 3) -@pytest.mark.parametrize( - ( - "treatment_grid_num", - "lower_grid_constraint", - "upper_grid_constraint", - "n_estimators", - "learning_rate", - "max_depth", - "bandwidth", - "random_seed", - "verbose", - ), - [ - # treatment_grid_num - (100.0, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), - ("100.0", 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), - (2, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), - (500000, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), - # lower_grid_constraint - (100, {0.01: "a"}, 0.99, 200, 0.01, 3, 0.5, None, False), - (100, -0.01, 0.99, 200, 0.01, 3, 0.5, None, False), - (100, 6.05, 0.99, 200, 0.01, 3, 0.5, None, False), - # upper_grid_constraint - (100, 0.01, [1, 2, 3], 200, 0.01, 3, 0.5, None, False), - (100, 0.01, -0.05, 200, 0.01, 3, 0.5, None, False), - (100, 0.01, 5.99, 200, 0.01, 3, 0.5, None, False), - (100, 0.9, 0.2, 200, 0.01, 3, 0.5, None, False), - # n_estimators - (100, 0.01, 0.99, "3.0", 0.01, 3, 0.5, None, False), - (100, 0.01, 0.99, -5, 0.01, 3, 0.5, None, False), - (100, 0.01, 0.99, 10000000, 0.01, 3, 0.5, None, False), - # learning_rate - (100, 0.01, 0.99, 200, ["a", "b"], 3, 0.5, None, False), - (100, 0.01, 0.99, 200, 5000000, 3, 0.5, None, False), - # max_depth - (100, 0.01, 0.99, 200, 0.01, "a", 0.5, None, False), - (100, 0.01, 0.99, 200, 0.01, -6, 0.5, None, False), - # bandwidth - (100, 0.01, 0.99, 200, 0.01, 3, "b", None, False), - (100, 0.01, 0.99, 200, 0.01, 3, -10, None, False), - # random seed - (100, 0.01, 0.99, 200, 0.01, 3, 0.5, "b", False), - (100, 0.01, 0.99, 200, 0.01, 3, 0.5, -10, False), - # verbose - (100, 0.01, 0.99, 200, 0.01, 3, 0.5, None, "Verbose"), - ], -) -def test_bad_tmle_instantiation( - treatment_grid_num, - lower_grid_constraint, - upper_grid_constraint, - n_estimators, - learning_rate, - max_depth, - bandwidth, - random_seed, - verbose, -): - with pytest.raises(Exception) as bad: - TMLE_Core( - treatment_grid_num=treatment_grid_num, - lower_grid_constraint=lower_grid_constraint, - upper_grid_constraint=upper_grid_constraint, - n_estimators=n_estimators, - learning_rate=learning_rate, - max_depth=max_depth, - bandwidth=bandwidth, - random_seed=random_seed, - verbose=verbose, - ) - - def test_bad_param_calculate_CDRC_TMLE(TMLE_fitted_model_continuous_fixture): """ Tests the TMLE `calculate_CDRC` when the `ci` param is bad diff --git a/tests/unit/test_tmle_regressor.py b/tests/unit/test_tmle_regressor.py index 39c6e72..95423b0 100644 --- a/tests/unit/test_tmle_regressor.py +++ b/tests/unit/test_tmle_regressor.py @@ -39,3 +39,75 @@ def test_point_estimate_interval_method_good(TMLE_fitted_model_continuous_fixtur ) assert isinstance(observed_result[0][0], float) assert observed_result.shape == (3, 2) + + +@pytest.mark.parametrize( + ( + "treatment_grid_num", + "lower_grid_constraint", + "upper_grid_constraint", + "n_estimators", + "learning_rate", + "max_depth", + "bandwidth", + "random_seed", + "verbose", + ), + [ + # treatment_grid_num + (100.0, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), + ("100.0", 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), + (2, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), + (500000, 0.01, 0.99, 200, 0.01, 3, 0.5, None, False), + # lower_grid_constraint + (100, {0.01: "a"}, 0.99, 200, 0.01, 3, 0.5, None, False), + (100, -0.01, 0.99, 200, 0.01, 3, 0.5, None, False), + (100, 6.05, 0.99, 200, 0.01, 3, 0.5, None, False), + # upper_grid_constraint + (100, 0.01, [1, 2, 3], 200, 0.01, 3, 0.5, None, False), + (100, 0.01, -0.05, 200, 0.01, 3, 0.5, None, False), + (100, 0.01, 5.99, 200, 0.01, 3, 0.5, None, False), + (100, 0.9, 0.2, 200, 0.01, 3, 0.5, None, False), + # n_estimators + (100, 0.01, 0.99, "3.0", 0.01, 3, 0.5, None, False), + (100, 0.01, 0.99, -5, 0.01, 3, 0.5, None, False), + (100, 0.01, 0.99, 10000000, 0.01, 3, 0.5, None, False), + # learning_rate + (100, 0.01, 0.99, 200, ["a", "b"], 3, 0.5, None, False), + (100, 0.01, 0.99, 200, 5000000, 3, 0.5, None, False), + # max_depth + (100, 0.01, 0.99, 200, 0.01, "a", 0.5, None, False), + (100, 0.01, 0.99, 200, 0.01, -6, 0.5, None, False), + # bandwidth + (100, 0.01, 0.99, 200, 0.01, 3, "b", None, False), + (100, 0.01, 0.99, 200, 0.01, 3, -10, None, False), + # random seed + (100, 0.01, 0.99, 200, 0.01, 3, 0.5, "b", False), + (100, 0.01, 0.99, 200, 0.01, 3, 0.5, -10, False), + # verbose + (100, 0.01, 0.99, 200, 0.01, 3, 0.5, None, "Verbose"), + ], +) +def test_bad_tmle_instantiation( + treatment_grid_num, + lower_grid_constraint, + upper_grid_constraint, + n_estimators, + learning_rate, + max_depth, + bandwidth, + random_seed, + verbose, +): + with pytest.raises(Exception) as bad: + TMLE_Regressor( + treatment_grid_num=treatment_grid_num, + lower_grid_constraint=lower_grid_constraint, + upper_grid_constraint=upper_grid_constraint, + n_estimators=n_estimators, + learning_rate=learning_rate, + max_depth=max_depth, + bandwidth=bandwidth, + random_seed=random_seed, + verbose=verbose, + )