From 9efb46964370a3f117b096c3b3579794b00da570 Mon Sep 17 00:00:00 2001 From: Ted Johnson Date: Mon, 4 Mar 2024 09:29:59 -0700 Subject: [PATCH 1/4] Update Canopy with SomaScan 11K to 7k and 5k lift capability --- README.ipynb | 12097 ++++++++++++++--------------- README.md | 4784 +++++++++++- README_files/output_71_0.png | Bin 0 -> 128411 bytes README_files/output_84_0.png | Bin 0 -> 16438 bytes README_files/output_98_0.png | Bin 0 -> 48129 bytes canopy/adat.py | 48 +- canopy/annotations.py | 110 +- canopy/base/adat_math_helpers.py | 141 +- canopy/data/__init__.py | 1 + canopy/data/example_data.py | 6 +- canopy/data/lift.py | 172 + canopy/data/lift.zip | Bin 0 -> 1010067 bytes poetry.lock | 294 + pyproject.toml | 25 + setup.py | 28 - tests/data/test_lift.py | 57 + tests/test_adat_math_helpers.py | 33 + tests/test_annotation_lifting.py | 63 +- 18 files changed, 11171 insertions(+), 6688 deletions(-) create mode 100644 README_files/output_71_0.png create mode 100644 README_files/output_84_0.png create mode 100644 README_files/output_98_0.png create mode 100644 canopy/data/lift.py create mode 100644 canopy/data/lift.zip create mode 100644 poetry.lock create mode 100644 pyproject.toml delete mode 100644 setup.py create mode 100644 tests/data/test_lift.py create mode 100644 tests/test_adat_math_helpers.py diff --git a/README.ipynb b/README.ipynb index 3f62cd9..e2de249 100644 --- a/README.ipynb +++ b/README.ipynb @@ -14,7 +14,7 @@ "\n", "## Overview\n", "\n", - "This document accompanies the Python package `canopy`, which loads the SomaLogic, Inc. proprietary data file called an `*.adat`. The package provides auxiliary functions for extracting relevant information from the ADAT object once in the Python environment. Basic familiarity with the Python environment is assumed, as is the ability to install contributed packages from the Python Package Installer (pip)\n", + "This document accompanies the Python package `canopy`, which loads the SomaLogic, Inc. structured text data file called an `*.adat`. The `canopy.Adat` object is an extension of the `pandas.DataFrame` class. The package provides auxiliary functions for extracting relevant information from the ADAT object once in the Python environment. Basic familiarity with the Python environment is assumed, as is the ability to install contributed packages from the Python Package Installer (pip)\n", "\n", "-----" ] @@ -23,6 +23,26 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "## Table of Contents: \n", + "\n", + "1. [Installation](#installation)\n", + "2. [Basic Use](#basics)\n", + "3. [Reading ADAT text files](#reading)\n", + "4. [Wrangling Data](#wrangling)\n", + "5. [Adding Metadata](#add-metadata)\n", + "6. [Slicing Data](#slicing)\n", + "7. [SomaScan Version Lifting](#lifting)\n", + "8. [Writing an ADAT text file](#writing)\n", + "9. [Example Data Analysis](#example)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", "## Installation\n", "The easiest way to install `Canopy` is to install directly from\n", "GitHub:\n", @@ -43,16 +63,21 @@ "`Python >=3.8` is required to install `canopy`. The following package dependencies are installed on a `pip install`:\n", " - `pandas >= 1.1.0`\n", " - `numpy >= 1.19.1`\n", - "\n" + "\n", + "[return to top](#toptoc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "## Basics\n", "\n", - "Upon installation, load `canopy` as normal:" + "Upon installation, load `canopy` as normal:\n", + "\n", + "[return to top](#toptoc)" ] }, { @@ -89,6 +114,7 @@ "\n", "PACKAGE CONTENTS\n", " adat\n", + " annotations\n", " base (package)\n", " data (package)\n", " errors\n", @@ -96,7 +122,7 @@ " tools (package)\n", "\n", "FILE\n", - " /Users/jallison/Code/canopy/canopy/__init__.py\n", + " /Users/tjohnson/code/repos/Canopy/canopy/__init__.py\n", "\n", "\n" ] @@ -137,8 +163,12 @@ "metadata": {}, "source": [ "-----\n", + "\n", + "\n", + "### Loading an ADAT\n", "\n", - "### Loading an ADAT" + "\n", + "[return to top](#toptoc)" ] }, { @@ -165,7 +195,7 @@ } ], "source": [ - "adat = canopy.read_file('./canopy/data/example_data.adat')\n", + "adat = canopy.read_adat('./canopy/data/example_data.adat')\n", "type(adat)" ] }, @@ -173,6 +203,26 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(192, 5284)" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adat.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, "outputs": [ { "data": { @@ -201,7 +251,7 @@ " names=['SeqId', 'SeqIdVersion', 'SomaId', 'TargetFullName', 'Target', 'UniProt', 'EntrezGeneID', 'EntrezGeneSymbol', 'Organism', 'Units', 'Type', 'Dilution', 'PlateScale_Reference', 'CalReference', 'Cal_Example_Adat_Set001', 'ColCheck', 'CalQcRatio_Example_Adat_Set001_170255', 'QcReference_170255', 'Cal_Example_Adat_Set002', 'CalQcRatio_Example_Adat_Set002_170255'], length=5284)" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -1402,8 +1452,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "\n", "### Wrangling\n", - "Dataframe `columns` Contain Feature Information" + "Dataframe `columns` Contain Feature Information\n", + "\n", + "[return to top](#toptoc)" ] }, { @@ -2133,195 +2187,5723 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Math\n", - "You may perform mathematical transformations on the feature data via apply or calling those functions and passing the entire dataframe." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "# Using the `adat` loaded from above\n", - "log10_adat = adat.apply(np.log10) # equivalent to `np.log10(adat)`\n", - "rounded_adat = adat.apply(round, args=[5,]) # equivalent to `round(adat, 5)`\n", - "sqrt_adat = adat.apply(np.sqrt) # equivlane to `np.sqrt(adat)`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Subsetting/Slicing the Dataframe\n", + "\n", + "### Modifying Metadata\n", "\n", - "You may extract certain subgroups of samples and/or features. Canopy augments the pandas dataframe with a number of helper functions to aid the user." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "# Extract rows of only calibrator-type samples\n", - "calibrator_adat = adat.pick_on_meta(axis=0, name='SampleType', values=['Calibrator'])\n", + "The `Adat` index and columns are `pandas.MultiIndex` objects. Several convenience functions exist to help you modify these objects. Typically, the row metadata (axis=0) represents data describing the sample or the individual from whom the sample was collected. The column metadata (axis=1) contains data regarding the SOMAmer reagent, the reagent's target and scalars applied to columns during normalization, these columns are not usually edited by the end user but can be using the same methods demonstrated on row metadata below.\n", "\n", - "# Exclude calibrator-type samples\n", - "non_calibrator_adat = adat.exclude_on_meta(axis=0, name='SampleType', values=['Calibrator'])\n", "\n", - "# Extract columns containing features that start with 'MMP'\n", - "target_names = adat.columns.get_level_values('Target')\n", - "mmp_names = [target for target in target_names if target.startswith('MMP')]\n", - "mmp_adat = adat.pick_on_meta(axis=1, name='Type', values=mmp_names)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Writing an `adat`" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "adat.to_file('/tmp/out_file.adat')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Typical Analyses\n", - "Although it is beyond the scope of the `Canopy` package, below are 3\n", - "sample analyses that typical users/clients would perform on SomaLogic data.\n", - "They are not intended to be a definitive guide in statistical\n", - "analysis and existing packages do exist in the `Python` universe that perform parts\n", - "or extensions of these techniques. Many variations of the workflows below\n", - "exist, however the framework highlights how one could perform standard\n", - "preliminary analyses on SomaLogic data for: \n", - " - Two-group differential expression (t-test)\n", - " - Binary classification (logistic regression)\n", - " - Linear regression" + "[return to top](#toptoc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Compare Groups (M/F) via t-test" + "#### Add Row Metadata\n", + "\n", + "Row metadata is sample level information which could include added clinical data like age, sex or clinical measurements. The Adat class facilitates managing this data.\n" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ - "from canopy.data.example_data import example_data # Example ADAT included with Canopy\n", - "from scipy.stats import ttest_ind\n", - "from collections import Counter\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", + "# using ittertools to sumulate some metadata:\n", + "from itertools import cycle, islice\n", "import pandas as pd\n", - "import numpy as np\n", - "from io import StringIO" + "\n", + "# for demonstration we will simulate two types of metadata. Metadata stored in a list and metadata stored with key-value pairs.\n", + "metadata_list = list(islice(cycle(['A', 'B', 'X', 'Y']), adat.shape[0]))\n", + "metadata_dictionary = {k:v for k, v in zip(adat.index.get_level_values('SampleId').to_list(), metadata_list)}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Display the shape of the adat (rows, columns)" + "#### Add unlabeled metadata\n", + "\n", + "You might do this if you know your metadata and `Adat` are ordered the same way but you are not using a shared key.\n", + "\n", + "[return to top](#toptoc)" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PlateIdSampleIdGroupData
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
\n", + "
" + ], "text/plain": [ - "(192, 5284)" + " PlateId SampleId GroupData\n", + "0 Example Adat Set001 1 A\n", + "1 Example Adat Set001 2 B\n", + "2 Example Adat Set001 3 X\n", + "3 Example Adat Set001 4 Y\n", + "4 Example Adat Set001 5 A\n", + "5 Example Adat Set001 6 B\n", + "6 Example Adat Set001 7 X" ] }, - "execution_count": 20, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "example_data.shape" + "new_meta_adat = adat.insert_meta(0,'GroupData', metadata_list)\n", + "# this will produce a new Adat file with group data in the right most column of the index\n", + "new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'GroupData']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Describe the sample types within the adat and display their counts" + "#### Add Keyed Metadata\n", + "\n", + "You might have data coming in as key value pairs from another data source. In that case it is easier to insert metadata using those keys:\n", + "\n", + "\n", + "[return to top](#toptoc)" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PlateIdSampleIdGroupData
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
\n", + "
" + ], "text/plain": [ - "Counter({'Sample': 170, 'Calibrator': 10, 'Buffer': 6, 'QC': 6})" + " PlateId SampleId GroupData\n", + "0 Example Adat Set001 1 A\n", + "1 Example Adat Set001 2 B\n", + "2 Example Adat Set001 3 X\n", + "3 Example Adat Set001 4 Y\n", + "4 Example Adat Set001 5 A\n", + "5 Example Adat Set001 6 B\n", + "6 Example Adat Set001 7 X" ] }, - "execution_count": 21, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Counter(example_data.index.get_level_values('SampleType'))" + "# The arguments are `axis` 0 for row metadata, 1 for column metadata, `name` the name of the new index,\n", + "#`key_meta_name` the nameo of the axis used to match the keys. `values_dict` the dictionary containing the new data\n", + "new_meta_adat = adat.insert_keyed_meta(0,'GroupData', 'SampleId', metadata_dictionary)\n", + "# this will produce a new Adat file with group data in the right most column of the index\n", + "new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'GroupData']]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Prepare the adat for analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "filtered_transformed_data = (\n", - " example_data\n", - " .exclude_on_meta(axis=0, name='Sex', values=['']) # rm NAs if present\n", - " .pick_on_meta(axis=0, name='SampleType', values=['Sample']) # rm control samples\n", - " .apply(np.log10) # log10-transform\n", - ")\n", + "#### Replace Metadata with Unlabeled Metadata\n", "\n", - "clean_data = (\n", - " filtered_transformed_data\n", - " .insert_keyed_meta( # map Sex -> 0/1\n", - " axis=0,\n", - " key_meta_name='Sex',\n", - " inserted_meta_name='Group',\n", - " values_dict={'M': 1, 'F': 0}\n", - " )\n", - " .apply(lambda x: x - x.mean(), axis=0) # center features\n", - " .apply(lambda x: x / x.std(), axis=0) # scale features\n", - ")" + "You might do this if you know your metadata and `Adat` are ordered the same way but you are not using a shared key.\n", + "\n", + "\n", + "[return to top](#toptoc)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PlateIdSampleIdSampleName
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
\n", + "
" + ], + "text/plain": [ + " PlateId SampleId SampleName\n", + "0 Example Adat Set001 1 A\n", + "1 Example Adat Set001 2 B\n", + "2 Example Adat Set001 3 X\n", + "3 Example Adat Set001 4 Y\n", + "4 Example Adat Set001 5 A\n", + "5 Example Adat Set001 6 B\n", + "6 Example Adat Set001 7 X" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_meta_adat = adat.replace_meta(0,'SampleName', metadata_list)\n", + "# this will produce a new Adat file with group data in the right most column of the index\n", + "new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'SampleName']]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Replace Metadata with Keyed Metadata\n", + "\n", + "You might need to replace metadata based on another document using key-value pairs.\n", + "\n", + "[return to top](#toptoc)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PlateIdSampleIdSampleName
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
\n", + "
" + ], + "text/plain": [ + " PlateId SampleId SampleName\n", + "0 Example Adat Set001 1 A\n", + "1 Example Adat Set001 2 B\n", + "2 Example Adat Set001 3 X\n", + "3 Example Adat Set001 4 Y\n", + "4 Example Adat Set001 5 A\n", + "5 Example Adat Set001 6 B\n", + "6 Example Adat Set001 7 X" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Here we replace the values in `SampleName` with the values from `metadata_dictionary`\n", + "new_meta_adat = adat.replace_keyed_meta(0,'SampleName', metadata_dictionary, 'SampleId')\n", + "# this will produce a new Adat file with group data in the right most column of the index\n", + "new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'SampleName']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Math\n", + "You may perform mathematical transformations on the feature data via apply or calling those functions and passing the entire dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "# Using the `adat` loaded from above\n", + "log10_adat = adat.apply(np.log10) # equivalent to `np.log10(adat)`\n", + "rounded_adat = adat.apply(round, args=[5,]) # equivalent to `round(adat, 5)`\n", + "sqrt_adat = adat.apply(np.sqrt) # equivlane to `np.sqrt(adat)`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Subsetting/Slicing the Dataframe\n", + "\n", + "You may extract certain subgroups of samples and/or features. Canopy augments the pandas dataframe with a number of helper functions to aid the user.\n", + "\n", + "[return to top](#toptoc)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SeqId15419-152579-172788-552789-262838-534160-494496-604924-324925-545002-765268-496425-878479-49172-699719-145
SeqIdVersion351211212133333
SomaIdSL012374SL000527SL000524SL000525SL003332SL000124SL000522SL000521SL000523SL002646SL003331SL007616SL000645SL000526SL003331
TargetFullNameMatrix metalloproteinase-20Matrix metalloproteinase-9Stromelysin-1MatrilysinMatrix metalloproteinase-1772 kDa type IV collagenaseMacrophage metalloelastaseInterstitial collagenaseCollagenase 3Matrix metalloproteinase-14Matrix metalloproteinase-16Matrix metalloproteinase-19Stromelysin-2Neutrophil collagenaseMatrix metalloproteinase-16
TargetMMP20MMP-9MMP-3MMP-7MMP-17MMP-2MMP-12MMP-1MMP-13MMP-14MMP-16MMP19MMP-10MMP-8MMP-16
UniProtO60882P14780P08254P09237Q9ULZ9P08253P39900P03956P45452P50281P51512Q99542P09238P22894P51512
EntrezGeneID931343184314431643264313432143124322432343254327431943174325
EntrezGeneSymbolMMP20MMP9MMP3MMP7MMP17MMP2MMP12MMP1MMP13MMP14MMP16MMP19MMP10MMP8MMP16
OrganismHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHuman
UnitsRFURFURFURFURFURFURFURFURFURFURFURFURFURFURFU
TypeProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein
Dilution200.50.520200.520202020200.5202020
PlateScale_Reference937.519472.3117.22392.91520.614888.51014.97611.5376.6632.1565.85063.41534.01088.51166.8
CalReference937.519472.3117.22392.91520.614888.51014.97611.5376.6632.1565.85063.41534.01088.51166.8
Cal_Example_Adat_Set0011.069472961.019572220.984047020.901314551.137832980.989611030.961808190.911622390.986897271.024971620.979062120.978434780.950610400.947098231.02243253
ColCheckPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASS
CalQcRatio_Example_Adat_Set001_1702551.1321.0020.8931.1300.9550.9871.0141.0541.0230.9871.0241.0051.0231.0291.003
QcReference_170255793.410420.6124.29482.51252.016044.71115.313192.8394.4492.1559.26162.71946.6845.51171.0
Cal_Example_Adat_Set0021.023806921.001177411.312430010.678125091.093170380.984995340.959534840.951544550.905941781.081437130.981439720.988211870.927000241.039835691.02055454
CalQcRatio_Example_Adat_Set002_1702551.1921.0090.8211.1231.0831.0281.0061.0250.9910.9491.0020.9901.0101.0390.951
PlateIdPlateRunDateScannerIDPlatePositionSlideIdSubarraySampleIdSampleTypePercentDilutionSampleMatrixBarcodeBarcode2dSampleNameSampleNotesAliquotingNotesSampleDescriptionAssayNotesTimePointExtIdentifierSsfExtIdSampleGroupSiteIdTubeUniqueIDCLIHybControlNormScaleRowCheckNormScale_20NormScale_0_005NormScale_0_5ANMLFractionUsed_20ANMLFractionUsed_0_005ANMLFractionUsed_0_5AgeSex
Example Adat Set0012020-06-18SG15214400H925849580001231Sample20Plasma-PPT0.98185998PASS1.036935800.857016240.777174910.9140.8690.90376F729.916230.2177.911903.31378.111997.22455.920988.1442.5414.2712.58965.52030.62181.51096.4
H825849580000472Sample20Plasma-PPT0.96671829PASS0.960225050.848584200.852019530.9370.9560.97355F873.317253.4152.816508.81652.014574.61595.011498.5501.1505.9629.98669.71301.61571.21149.0
H725849580001083Sample20Plasma-PPT1.00193072PASS0.984116171.032701560.915191530.9070.9190.91547M993.013094.1127.57577.01711.714468.7503.314697.72883.2445.8510.66728.91067.31528.91027.8
H625849580000344Sample20Plasma-PPT0.94017961PASS1.078398780.946268410.912467310.9340.9190.91237M906.520991.4155.08673.71667.59913.1438.420819.0375.2644.8547.88629.01162.41173.71091.6
H525849580000945Sample20Plasma-PPT0.94621098PASS0.846794460.929045530.774130560.7070.8940.70871F747.08070.4124.020423.71426.611345.01954.516168.9356.9446.4541.78125.21667.01048.61132.6
...................................................................................................................................................
Example Adat Set0022020-07-20SG15214400A22584958001083188Sample20Plasma-PPT0.96699908PASS0.959932751.089101380.994919790.5660.9120.71938F714.719877.3114.515151.9894.717266.2682.827419.4480.3705.1527.96638.23919.71787.51191.1
A122584958001042189Sample20Plasma-PPT0.91482584PASS1.218801291.010226970.992443740.9180.9190.92640F865.825801.4123.615711.61308.416598.31369.215153.5474.2655.0592.28953.92494.92156.21391.5
A112584958001085190Sample20Plasma-PPT0.88282283PASS1.366991421.162714271.196735870.9270.9810.96443M869.713728.5140.911437.31353.517996.21344.210575.3433.7439.8530.76193.92067.62466.61114.8
A102584958001055191Sample20Plasma-PPT0.95792282PASS1.305903740.983951660.974601190.8350.9630.94455M529.213298.2161.714210.81026.014549.01466.19683.8291.6435.8676.19584.81799.51347.81194.2
A12584958001105192Sample20Plasma-PPT0.97384118PASS1.307106460.932301231.008043410.7930.9630.93356F1934.47567.8133.013614.31220.216223.81110.97737.4364.23407.0645.27867.11720.91888.21293.8
\n", + "

192 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + "SeqId 15419-15 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL012374 \n", + "TargetFullName Matrix metalloproteinase-20 \n", + "Target MMP20 \n", + "UniProt O60882 \n", + "EntrezGeneID 9313 \n", + "EntrezGeneSymbol MMP20 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 937.5 \n", + "CalReference 937.5 \n", + "Cal_Example_Adat_Set001 1.06947296 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.132 \n", + "QcReference_170255 793.4 \n", + "Cal_Example_Adat_Set002 1.02380692 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.192 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 729.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 873.3 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 993.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 906.5 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 747.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 714.7 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 865.8 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 869.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 529.2 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1934.4 \n", + "\n", + "SeqId 2579-17 \\\n", + "SeqIdVersion 5 \n", + "SomaId SL000527 \n", + "TargetFullName Matrix metalloproteinase-9 \n", + "Target MMP-9 \n", + "UniProt P14780 \n", + "EntrezGeneID 4318 \n", + "EntrezGeneSymbol MMP9 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 0.5 \n", + "PlateScale_Reference 19472.3 \n", + "CalReference 19472.3 \n", + "Cal_Example_Adat_Set001 1.01957222 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.002 \n", + "QcReference_170255 10420.6 \n", + "Cal_Example_Adat_Set002 1.00117741 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.009 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 16230.2 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 17253.4 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 13094.1 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 20991.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 8070.4 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 19877.3 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 25801.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 13728.5 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 13298.2 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 7567.8 \n", + "\n", + "SeqId 2788-55 \\\n", + "SeqIdVersion 1 \n", + "SomaId SL000524 \n", + "TargetFullName Stromelysin-1 \n", + "Target MMP-3 \n", + "UniProt P08254 \n", + "EntrezGeneID 4314 \n", + "EntrezGeneSymbol MMP3 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 0.5 \n", + "PlateScale_Reference 117.2 \n", + "CalReference 117.2 \n", + "Cal_Example_Adat_Set001 0.98404702 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.893 \n", + "QcReference_170255 124.2 \n", + "Cal_Example_Adat_Set002 1.31243001 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.821 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 177.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 152.8 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 127.5 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 155.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 124.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 114.5 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 123.6 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 140.9 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 161.7 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 133.0 \n", + "\n", + "SeqId 2789-26 \\\n", + "SeqIdVersion 2 \n", + "SomaId SL000525 \n", + "TargetFullName Matrilysin \n", + "Target MMP-7 \n", + "UniProt P09237 \n", + "EntrezGeneID 4316 \n", + "EntrezGeneSymbol MMP7 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 2392.9 \n", + "CalReference 2392.9 \n", + "Cal_Example_Adat_Set001 0.90131455 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.130 \n", + "QcReference_170255 9482.5 \n", + "Cal_Example_Adat_Set002 0.67812509 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.123 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 11903.3 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 16508.8 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 7577.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 8673.7 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 20423.7 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 15151.9 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 15711.6 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 11437.3 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 14210.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 13614.3 \n", + "\n", + "SeqId 2838-53 \\\n", + "SeqIdVersion 1 \n", + "SomaId SL003332 \n", + "TargetFullName Matrix metalloproteinase-17 \n", + "Target MMP-17 \n", + "UniProt Q9ULZ9 \n", + "EntrezGeneID 4326 \n", + "EntrezGeneSymbol MMP17 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1520.6 \n", + "CalReference 1520.6 \n", + "Cal_Example_Adat_Set001 1.13783298 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.955 \n", + "QcReference_170255 1252.0 \n", + "Cal_Example_Adat_Set002 1.09317038 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.083 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 1378.1 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1652.0 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1711.7 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1667.5 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1426.6 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 894.7 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1308.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1353.5 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1026.0 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1220.2 \n", + "\n", + "SeqId 4160-49 \\\n", + "SeqIdVersion 1 \n", + "SomaId SL000124 \n", + "TargetFullName 72 kDa type IV collagenase \n", + "Target MMP-2 \n", + "UniProt P08253 \n", + "EntrezGeneID 4313 \n", + "EntrezGeneSymbol MMP2 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 0.5 \n", + "PlateScale_Reference 14888.5 \n", + "CalReference 14888.5 \n", + "Cal_Example_Adat_Set001 0.98961103 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.987 \n", + "QcReference_170255 16044.7 \n", + "Cal_Example_Adat_Set002 0.98499534 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.028 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 11997.2 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 14574.6 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 14468.7 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 9913.1 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 11345.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 17266.2 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 16598.3 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 17996.2 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 14549.0 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 16223.8 \n", + "\n", + "SeqId 4496-60 \\\n", + "SeqIdVersion 2 \n", + "SomaId SL000522 \n", + "TargetFullName Macrophage metalloelastase \n", + "Target MMP-12 \n", + "UniProt P39900 \n", + "EntrezGeneID 4321 \n", + "EntrezGeneSymbol MMP12 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1014.9 \n", + "CalReference 1014.9 \n", + "Cal_Example_Adat_Set001 0.96180819 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.014 \n", + "QcReference_170255 1115.3 \n", + "Cal_Example_Adat_Set002 0.95953484 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.006 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 2455.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1595.0 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 503.3 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 438.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1954.5 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 682.8 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1369.2 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1344.2 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1466.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1110.9 \n", + "\n", + "SeqId 4924-32 \\\n", + "SeqIdVersion 1 \n", + "SomaId SL000521 \n", + "TargetFullName Interstitial collagenase \n", + "Target MMP-1 \n", + "UniProt P03956 \n", + "EntrezGeneID 4312 \n", + "EntrezGeneSymbol MMP1 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 7611.5 \n", + "CalReference 7611.5 \n", + "Cal_Example_Adat_Set001 0.91162239 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.054 \n", + "QcReference_170255 13192.8 \n", + "Cal_Example_Adat_Set002 0.95154455 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.025 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 20988.1 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 11498.5 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 14697.7 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 20819.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 16168.9 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 27419.4 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 15153.5 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 10575.3 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 9683.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 7737.4 \n", + "\n", + "SeqId 4925-54 \\\n", + "SeqIdVersion 2 \n", + "SomaId SL000523 \n", + "TargetFullName Collagenase 3 \n", + "Target MMP-13 \n", + "UniProt P45452 \n", + "EntrezGeneID 4322 \n", + "EntrezGeneSymbol MMP13 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 376.6 \n", + "CalReference 376.6 \n", + "Cal_Example_Adat_Set001 0.98689727 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.023 \n", + "QcReference_170255 394.4 \n", + "Cal_Example_Adat_Set002 0.90594178 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.991 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 442.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 501.1 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 2883.2 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 375.2 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 356.9 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 480.3 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 474.2 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 433.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 291.6 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 364.2 \n", + "\n", + "SeqId 5002-76 \\\n", + "SeqIdVersion 1 \n", + "SomaId SL002646 \n", + "TargetFullName Matrix metalloproteinase-14 \n", + "Target MMP-14 \n", + "UniProt P50281 \n", + "EntrezGeneID 4323 \n", + "EntrezGeneSymbol MMP14 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 632.1 \n", + "CalReference 632.1 \n", + "Cal_Example_Adat_Set001 1.02497162 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.987 \n", + "QcReference_170255 492.1 \n", + "Cal_Example_Adat_Set002 1.08143713 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.949 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 414.2 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 505.9 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 445.8 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 644.8 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 446.4 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 705.1 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 655.0 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 439.8 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 435.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 3407.0 \n", + "\n", + "SeqId 5268-49 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL003331 \n", + "TargetFullName Matrix metalloproteinase-16 \n", + "Target MMP-16 \n", + "UniProt P51512 \n", + "EntrezGeneID 4325 \n", + "EntrezGeneSymbol MMP16 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 565.8 \n", + "CalReference 565.8 \n", + "Cal_Example_Adat_Set001 0.97906212 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.024 \n", + "QcReference_170255 559.2 \n", + "Cal_Example_Adat_Set002 0.98143972 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.002 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 712.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 629.9 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 510.6 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 547.8 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 541.7 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 527.9 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 592.2 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 530.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 676.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 645.2 \n", + "\n", + "SeqId 6425-87 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL007616 \n", + "TargetFullName Matrix metalloproteinase-19 \n", + "Target MMP19 \n", + "UniProt Q99542 \n", + "EntrezGeneID 4327 \n", + "EntrezGeneSymbol MMP19 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 0.5 \n", + "PlateScale_Reference 5063.4 \n", + "CalReference 5063.4 \n", + "Cal_Example_Adat_Set001 0.97843478 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.005 \n", + "QcReference_170255 6162.7 \n", + "Cal_Example_Adat_Set002 0.98821187 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.990 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 8965.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 8669.7 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 6728.9 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 8629.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 8125.2 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 6638.2 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 8953.9 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 6193.9 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 9584.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 7867.1 \n", + "\n", + "SeqId 8479-4 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL000645 \n", + "TargetFullName Stromelysin-2 \n", + "Target MMP-10 \n", + "UniProt P09238 \n", + "EntrezGeneID 4319 \n", + "EntrezGeneSymbol MMP10 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1534.0 \n", + "CalReference 1534.0 \n", + "Cal_Example_Adat_Set001 0.95061040 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.023 \n", + "QcReference_170255 1946.6 \n", + "Cal_Example_Adat_Set002 0.92700024 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.010 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 2030.6 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1301.6 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1067.3 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1162.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1667.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 3919.7 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 2494.9 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 2067.6 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1799.5 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1720.9 \n", + "\n", + "SeqId 9172-69 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL000526 \n", + "TargetFullName Neutrophil collagenase \n", + "Target MMP-8 \n", + "UniProt P22894 \n", + "EntrezGeneID 4317 \n", + "EntrezGeneSymbol MMP8 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1088.5 \n", + "CalReference 1088.5 \n", + "Cal_Example_Adat_Set001 0.94709823 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.029 \n", + "QcReference_170255 845.5 \n", + "Cal_Example_Adat_Set002 1.03983569 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.039 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 2181.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1571.2 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1528.9 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1173.7 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1048.6 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1787.5 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 2156.2 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 2466.6 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1347.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1888.2 \n", + "\n", + "SeqId 9719-145 \n", + "SeqIdVersion 3 \n", + "SomaId SL003331 \n", + "TargetFullName Matrix metalloproteinase-16 \n", + "Target MMP-16 \n", + "UniProt P51512 \n", + "EntrezGeneID 4325 \n", + "EntrezGeneSymbol MMP16 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1166.8 \n", + "CalReference 1166.8 \n", + "Cal_Example_Adat_Set001 1.02243253 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.003 \n", + "QcReference_170255 1171.0 \n", + "Cal_Example_Adat_Set002 1.02055454 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.951 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 1096.4 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1149.0 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1027.8 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1091.6 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1132.6 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1191.1 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1391.5 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1114.8 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1194.2 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1293.8 \n", + "\n", + "[192 rows x 15 columns]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Extract rows of only calibrator-type samples\n", + "calibrator_adat = adat.pick_on_meta(axis=0, name='SampleType', values=['Calibrator'])\n", + "\n", + "# Exclude calibrator-type samples\n", + "non_calibrator_adat = adat.exclude_on_meta(axis=0, name='SampleType', values=['Calibrator'])\n", + "\n", + "# Extract columns containing features that start with 'MMP'\n", + "target_names = adat.columns.get_level_values('Target')\n", + "mmp_names = [target for target in target_names if target.startswith('MMP')]\n", + "mmp_adat = adat.pick_on_meta(axis=1, name='Target', values=mmp_names)\n", + "mmp_adat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Lifting ADAT data between assay versions.\n", + "\n", + "Adat data can be lifted from one SomaScan Assay version's RFU space to another SomaScan Assay version's RFU space. This is achieved by scaling SOMAmer reagent measurement columns using scale factors available at [menu.somalogic.com](https://menu.somalogic.com/) and built in to this tool in the `Adat.lift()` method.\n", + "\n", + "The example Adat exists in SomaScan Version V4.0 assay space (also called 5K in some literature). In this example we will lift to SomaScan V5.0 (11K) assay space. It is important to know that only SOMAmer reagent measurements in both assay versions can be lifted. When lifting from a smaller to a larger plex (as demonstrated) the resulting `Adat` will remain in the smaller plex size. When lifting from a larger to smaller plex size reagents that don't exist in the small plex size will be scaled by 1.0. The end user might choose to redact the lifted `Adat` to the smaller plex to better merge data.\n", + "\n", + "The tool will raise in error if the end user attempts to lift an `Adat` object to its current version or an unsupported assay version.\n", + "\n", + "\n", + "#### Assay version mapping:\n", + "\n", + "SomaScan data can be referred to by the assay version i.e. 'V5.0' or by the plex size i.e. '11K'. The tool can use either 'V5.0' or '11K' interchangeably in it's input. The mapping between these terms is shown in the table below:\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
SomaScan Assay VersionSomaScan PlexSomaScan Menu Size
V45K5284
V4.17K7596
V5.011K11083
\n", + "\n", + "\n", + "[return to top](#toptoc)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "lifted_adat = adat.lift('V5.0')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
SeqId10000-2810001-710003-1510006-2510008-4310011-6510012-510013-3410014-3110015-119...9981-189983-979984-129986-149989-129993-119994-2179995-69997-129999-1
SeqIdVersion3333333333...3333333333
SomaIdSL019233SL002564SL019245SL019228SL019234SL019246SL014669SL025418SL007803SL014924...SL018293SL019202SL019205SL005356SL019194SL019212SL019217SL013164SL019215SL019231
TargetFullNameBeta-crystallin B2RAF proto-oncogene serine/threonine-protein kinaseZinc finger protein 41ETS domain-containing protein Elk-1Guanylyl cyclase-activating protein 1Inositol polyphosphate 5-phosphatase OCRL-1SAM pointed domain-containing Ets transcription factorFc_MOUSEZinc finger protein SNAI2Voltage-gated potassium channel subunit beta-2...Protein FAM234BInactive serine protease 35Protein YIPF6Neuropeptide WLeucine-rich repeat-containing protein 24Zinc finger protein 264Potassium-transporting ATPase subunit betaDeoxyuridine 5'-triphosphate nucleotidohydrolase, mitochondrialUBX domain-containing protein 4Interferon regulatory factor 6
TargetCRBB2c-RafZNF41ELK1GUC1AOCRLSPDEFFc_MOUSESLUGKCAB2...K1467PRS35YIPF6Neuropeptide WLRC24ZN264ATP4BDUTUBXN4IRF6
UniProtP43320P04049P51814P19419P43080Q01968O95238Q99LC4O43623Q13303...A2RU67Q8N3Z0Q96EC8Q8N729Q50LG9O43296P51164P33316Q92575O14896
EntrezGeneID1415589475922002297849522580365918514...5761316768128645128386944138194224961854231903664
EntrezGeneSymbolCRYBB2RAF1ZNF41ELK1GUCA1AOCRLSPDEFSNAI2KCNAB2...KIAA1467PRSS35YIPF6NPWLRRC24ZNF264ATP4BDUTUBXN4IRF6
OrganismHumanHumanHumanHumanHumanHumanHumanMouseHumanHuman...HumanHumanHumanHumanHumanHumanHumanHumanHumanHuman
UnitsRFURFURFURFURFURFURFURFURFURFU...RFURFURFURFURFURFURFURFURFURFU
TypeProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein...ProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein
Dilution20200.520202020202020...20202020202020202020
PlateScale_Reference687.4227.8126.9634.2585.02807.11623.3499.6857.2443.3...643.9430.0627.53644.5449.4953.31971.11275.64426.9851.9
CalReference687.4227.8126.9634.2585.02807.11623.3499.6857.2443.3...643.9430.0627.53644.5449.4953.31971.11275.64426.9851.9
Cal_Example_Adat_Set0011.012520251.016057090.950561800.996073500.940514471.053834891.172904621.070953911.034640921.07466667...0.980359321.048780491.035136920.963414311.014446951.045514370.982994220.974261060.968962720.96042841
ColCheckPASSPASSPASSPASSPASSPASSPASSPASSPASSPASS...PASSPASSPASSPASSPASSPASSPASSPASSPASSPASS
CalQcRatio_Example_Adat_Set001_1702551.0080.9701.0461.0421.0360.9751.0100.9530.9780.975...0.9820.9491.0030.9381.0170.9981.0710.9850.9600.974
QcReference_170255505.4223.9119.6667.2587.52617.61340.6443.01289.4441.5...700.7393.2612.63089.2455.1885.61389.7950.95560.71033.6
Cal_Example_Adat_Set0021.014762331.036868461.152588560.935812310.962012831.031339551.212503731.181925720.989267171.13173347...0.960757981.152506031.120135671.082964370.993149171.082680301.027845860.973517520.948289530.92900763
CalQcRatio_Example_Adat_Set002_1702551.0671.0070.9811.0260.9981.0131.0780.9960.9710.941...0.9820.9930.9900.9290.9780.9611.0220.9701.0270.997
PlateIdPlateRunDateScannerIDPlatePositionSlideIdSubarraySampleIdSampleTypePercentDilutionSampleMatrixBarcodeBarcode2dSampleNameSampleNotesAliquotingNotesSampleDescriptionAssayNotesTimePointExtIdentifierSsfExtIdSampleGroupSiteIdTubeUniqueIDCLIHybControlNormScaleRowCheckNormScale_20NormScale_0_005NormScale_0_5ANMLFractionUsed_20ANMLFractionUsed_0_005ANMLFractionUsed_0_5AgeSex
Example Adat Set0012020-06-18SG15214400H925849580001231Sample20Plasma-PPT0.98185998PASS1.036935800.857016240.777174910.9140.8690.90376F386.0309.597.6449.1396.64965.91106.7274.9786.3567.2...551.9352.5408.43027.5538.8686.35202.42188.412697.7966.5
H825849580000472Sample20Plasma-PPT0.96671829PASS0.960225050.848584200.852019530.9370.9560.97355F384.3292.999.1418.6382.62149.61307.8324.1779.4371.8...689.3358.2456.05724.5470.3663.01195.92302.713247.8824.2
H725849580001083Sample20Plasma-PPT1.00193072PASS0.984116171.032701560.915191530.9070.9190.91547M336.6299.02948.3420.1299.32306.61290.9348.6845.0416.8...547.0382.0503.93380.7405.3647.61552.41183.211072.11145.8
H625849580000344Sample20Plasma-PPT0.94017961PASS1.078398780.946268410.912467310.9340.9190.91237M358.5247.4109.9420.0331.72261.41184.1362.04348.0374.6...561.9384.4477.71361.8493.0643.51005.31399.49082.4804.6
H525849580000945Sample20Plasma-PPT0.94621098PASS0.846794460.929045530.774130560.7070.8940.70871F377.2709.393.3589.3313.11949.4990.0272.8787.7723.8...480.0343.0742.34846.0487.7701.41132.49852.938461.12865.9
.....................................................................................................................................................................
Example Adat Set0022020-07-20SG15214400A22584958001083188Sample20Plasma-PPT0.96699908PASS0.959932751.089101380.994919790.5660.9120.71938F393.3954.0124.2719.81284.41312.0750.7312.1727.7829.2...454.3301.8531.01658.5541.8861.51352.311604.645580.63687.1
A122584958001042189Sample20Plasma-PPT0.91482584PASS1.218801291.010226970.992443740.9180.9190.92640F337.4281.682.5625.526153.51856.41004.8297.4734.0388.3...636.7292.7410.79236.8487.6629.31910.91855.09778.61004.4
A112584958001085190Sample20Plasma-PPT0.88282283PASS1.366991421.162714271.196735870.9270.9810.96443M372.9270.8204.2472.6446.11733.81067.7354.3745.7410.7...566.0364.5448.22597.7515.6621.41113.31302.78766.2770.8
A102584958001055191Sample20Plasma-PPT0.95792282PASS1.305903740.983951660.974601190.8350.9630.94455M320.4319.1105.9527.1370.81701.9756.9266.4618.4453.9...536.3309.1434.05167.2522.8588.2891.12466.615455.91190.4
A12584958001105192Sample20Plasma-PPT0.97384118PASS1.307106460.932301231.008043410.7930.9630.93356F370.3288.1187.2469.9438.51777.9787.3249.4930.8423.7...601.9285.9467.02564.2590.0673.21036.72142.17950.7722.8
\n", + "

192 rows × 5284 columns

\n", + "
" + ], + "text/plain": [ + "SeqId 10000-28 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019233 \n", + "TargetFullName Beta-crystallin B2 \n", + "Target CRBB2 \n", + "UniProt P43320 \n", + "EntrezGeneID 1415 \n", + "EntrezGeneSymbol CRYBB2 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 687.4 \n", + "CalReference 687.4 \n", + "Cal_Example_Adat_Set001 1.01252025 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.008 \n", + "QcReference_170255 505.4 \n", + "Cal_Example_Adat_Set002 1.01476233 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.067 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 386.0 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 384.3 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 336.6 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 358.5 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 377.2 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 393.3 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 337.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 372.9 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 320.4 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 370.3 \n", + "\n", + "SeqId 10001-7 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL002564 \n", + "TargetFullName RAF proto-oncogene serine/threonine-protein kinase \n", + "Target c-Raf \n", + "UniProt P04049 \n", + "EntrezGeneID 5894 \n", + "EntrezGeneSymbol RAF1 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 227.8 \n", + "CalReference 227.8 \n", + "Cal_Example_Adat_Set001 1.01605709 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.970 \n", + "QcReference_170255 223.9 \n", + "Cal_Example_Adat_Set002 1.03686846 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.007 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 309.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 292.9 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 299.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 247.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 709.3 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 954.0 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 281.6 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 270.8 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 319.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 288.1 \n", + "\n", + "SeqId 10003-15 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019245 \n", + "TargetFullName Zinc finger protein 41 \n", + "Target ZNF41 \n", + "UniProt P51814 \n", + "EntrezGeneID 7592 \n", + "EntrezGeneSymbol ZNF41 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 0.5 \n", + "PlateScale_Reference 126.9 \n", + "CalReference 126.9 \n", + "Cal_Example_Adat_Set001 0.95056180 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.046 \n", + "QcReference_170255 119.6 \n", + "Cal_Example_Adat_Set002 1.15258856 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.981 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 97.6 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 99.1 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 2948.3 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 109.9 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 93.3 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 124.2 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 82.5 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 204.2 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 105.9 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 187.2 \n", + "\n", + "SeqId 10006-25 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019228 \n", + "TargetFullName ETS domain-containing protein Elk-1 \n", + "Target ELK1 \n", + "UniProt P19419 \n", + "EntrezGeneID 2002 \n", + "EntrezGeneSymbol ELK1 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 634.2 \n", + "CalReference 634.2 \n", + "Cal_Example_Adat_Set001 0.99607350 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.042 \n", + "QcReference_170255 667.2 \n", + "Cal_Example_Adat_Set002 0.93581231 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.026 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 449.1 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 418.6 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 420.1 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 420.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 589.3 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 719.8 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 625.5 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 472.6 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 527.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 469.9 \n", + "\n", + "SeqId 10008-43 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019234 \n", + "TargetFullName Guanylyl cyclase-activating protein 1 \n", + "Target GUC1A \n", + "UniProt P43080 \n", + "EntrezGeneID 2978 \n", + "EntrezGeneSymbol GUCA1A \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 585.0 \n", + "CalReference 585.0 \n", + "Cal_Example_Adat_Set001 0.94051447 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.036 \n", + "QcReference_170255 587.5 \n", + "Cal_Example_Adat_Set002 0.96201283 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.998 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 396.6 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 382.6 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 299.3 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 331.7 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 313.1 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1284.4 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 26153.5 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 446.1 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 370.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 438.5 \n", + "\n", + "SeqId 10011-65 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019246 \n", + "TargetFullName Inositol polyphosphate 5-phosphatase OCRL-1 \n", + "Target OCRL \n", + "UniProt Q01968 \n", + "EntrezGeneID 4952 \n", + "EntrezGeneSymbol OCRL \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 2807.1 \n", + "CalReference 2807.1 \n", + "Cal_Example_Adat_Set001 1.05383489 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.975 \n", + "QcReference_170255 2617.6 \n", + "Cal_Example_Adat_Set002 1.03133955 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.013 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 4965.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 2149.6 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 2306.6 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 2261.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1949.4 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1312.0 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1856.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1733.8 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1701.9 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1777.9 \n", + "\n", + "SeqId 10012-5 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL014669 \n", + "TargetFullName SAM pointed domain-containing Ets transcription factor \n", + "Target SPDEF \n", + "UniProt O95238 \n", + "EntrezGeneID 25803 \n", + "EntrezGeneSymbol SPDEF \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1623.3 \n", + "CalReference 1623.3 \n", + "Cal_Example_Adat_Set001 1.17290462 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.010 \n", + "QcReference_170255 1340.6 \n", + "Cal_Example_Adat_Set002 1.21250373 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.078 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 1106.7 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1307.8 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1290.9 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1184.1 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 990.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 750.7 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1004.8 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1067.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 756.9 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 787.3 \n", + "\n", + "SeqId 10013-34 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL025418 \n", + "TargetFullName Fc_MOUSE \n", + "Target Fc_MOUSE \n", + "UniProt Q99LC4 \n", + "EntrezGeneID \n", + "EntrezGeneSymbol \n", + "Organism Mouse \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 499.6 \n", + "CalReference 499.6 \n", + "Cal_Example_Adat_Set001 1.07095391 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.953 \n", + "QcReference_170255 443.0 \n", + "Cal_Example_Adat_Set002 1.18192572 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.996 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 274.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 324.1 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 348.6 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 362.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 272.8 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 312.1 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 297.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 354.3 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 266.4 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 249.4 \n", + "\n", + "SeqId 10014-31 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL007803 \n", + "TargetFullName Zinc finger protein SNAI2 \n", + "Target SLUG \n", + "UniProt O43623 \n", + "EntrezGeneID 6591 \n", + "EntrezGeneSymbol SNAI2 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 857.2 \n", + "CalReference 857.2 \n", + "Cal_Example_Adat_Set001 1.03464092 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.978 \n", + "QcReference_170255 1289.4 \n", + "Cal_Example_Adat_Set002 0.98926717 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.971 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 786.3 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 779.4 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 845.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 4348.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 787.7 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 727.7 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 734.0 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 745.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 618.4 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 930.8 \n", + "\n", + "SeqId 10015-119 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL014924 \n", + "TargetFullName Voltage-gated potassium channel subunit beta-2 \n", + "Target KCAB2 \n", + "UniProt Q13303 \n", + "EntrezGeneID 8514 \n", + "EntrezGeneSymbol KCNAB2 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 443.3 \n", + "CalReference 443.3 \n", + "Cal_Example_Adat_Set001 1.07466667 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.975 \n", + "QcReference_170255 441.5 \n", + "Cal_Example_Adat_Set002 1.13173347 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.941 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 567.2 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 371.8 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 416.8 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 374.6 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 723.8 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 829.2 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 388.3 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 410.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 453.9 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 423.7 \n", + "\n", + "SeqId ... \\\n", + "SeqIdVersion ... \n", + "SomaId ... \n", + "TargetFullName ... \n", + "Target ... \n", + "UniProt ... \n", + "EntrezGeneID ... \n", + "EntrezGeneSymbol ... \n", + "Organism ... \n", + "Units ... \n", + "Type ... \n", + "Dilution ... \n", + "PlateScale_Reference ... \n", + "CalReference ... \n", + "Cal_Example_Adat_Set001 ... \n", + "ColCheck ... \n", + "CalQcRatio_Example_Adat_Set001_170255 ... \n", + "QcReference_170255 ... \n", + "Cal_Example_Adat_Set002 ... \n", + "CalQcRatio_Example_Adat_Set002_170255 ... \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex ... \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F ... \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F ... \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M ... \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M ... \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F ... \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F ... \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F ... \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M ... \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M ... \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F ... \n", + "\n", + "SeqId 9981-18 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL018293 \n", + "TargetFullName Protein FAM234B \n", + "Target K1467 \n", + "UniProt A2RU67 \n", + "EntrezGeneID 57613 \n", + "EntrezGeneSymbol KIAA1467 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 643.9 \n", + "CalReference 643.9 \n", + "Cal_Example_Adat_Set001 0.98035932 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.982 \n", + "QcReference_170255 700.7 \n", + "Cal_Example_Adat_Set002 0.96075798 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.982 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 551.9 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 689.3 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 547.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 561.9 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 480.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 454.3 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 636.7 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 566.0 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 536.3 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 601.9 \n", + "\n", + "SeqId 9983-97 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019202 \n", + "TargetFullName Inactive serine protease 35 \n", + "Target PRS35 \n", + "UniProt Q8N3Z0 \n", + "EntrezGeneID 167681 \n", + "EntrezGeneSymbol PRSS35 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 430.0 \n", + "CalReference 430.0 \n", + "Cal_Example_Adat_Set001 1.04878049 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.949 \n", + "QcReference_170255 393.2 \n", + "Cal_Example_Adat_Set002 1.15250603 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.993 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 352.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 358.2 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 382.0 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 384.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 343.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 301.8 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 292.7 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 364.5 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 309.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 285.9 \n", + "\n", + "SeqId 9984-12 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019205 \n", + "TargetFullName Protein YIPF6 \n", + "Target YIPF6 \n", + "UniProt Q96EC8 \n", + "EntrezGeneID 286451 \n", + "EntrezGeneSymbol YIPF6 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 627.5 \n", + "CalReference 627.5 \n", + "Cal_Example_Adat_Set001 1.03513692 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.003 \n", + "QcReference_170255 612.6 \n", + "Cal_Example_Adat_Set002 1.12013567 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.990 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 408.4 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 456.0 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 503.9 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 477.7 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 742.3 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 531.0 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 410.7 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 448.2 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 434.0 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 467.0 \n", + "\n", + "SeqId 9986-14 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL005356 \n", + "TargetFullName Neuropeptide W \n", + "Target Neuropeptide W \n", + "UniProt Q8N729 \n", + "EntrezGeneID 283869 \n", + "EntrezGeneSymbol NPW \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 3644.5 \n", + "CalReference 3644.5 \n", + "Cal_Example_Adat_Set001 0.96341431 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.938 \n", + "QcReference_170255 3089.2 \n", + "Cal_Example_Adat_Set002 1.08296437 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.929 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 3027.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 5724.5 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 3380.7 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1361.8 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 4846.0 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1658.5 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 9236.8 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 2597.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 5167.2 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 2564.2 \n", + "\n", + "SeqId 9989-12 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019194 \n", + "TargetFullName Leucine-rich repeat-containing protein 24 \n", + "Target LRC24 \n", + "UniProt Q50LG9 \n", + "EntrezGeneID 441381 \n", + "EntrezGeneSymbol LRRC24 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 449.4 \n", + "CalReference 449.4 \n", + "Cal_Example_Adat_Set001 1.01444695 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.017 \n", + "QcReference_170255 455.1 \n", + "Cal_Example_Adat_Set002 0.99314917 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.978 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 538.8 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 470.3 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 405.3 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 493.0 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 487.7 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 541.8 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 487.6 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 515.6 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 522.8 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 590.0 \n", + "\n", + "SeqId 9993-11 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019212 \n", + "TargetFullName Zinc finger protein 264 \n", + "Target ZN264 \n", + "UniProt O43296 \n", + "EntrezGeneID 9422 \n", + "EntrezGeneSymbol ZNF264 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 953.3 \n", + "CalReference 953.3 \n", + "Cal_Example_Adat_Set001 1.04551437 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.998 \n", + "QcReference_170255 885.6 \n", + "Cal_Example_Adat_Set002 1.08268030 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.961 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 686.3 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 663.0 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 647.6 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 643.5 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 701.4 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 861.5 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 629.3 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 621.4 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 588.2 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 673.2 \n", + "\n", + "SeqId 9994-217 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019217 \n", + "TargetFullName Potassium-transporting ATPase subunit beta \n", + "Target ATP4B \n", + "UniProt P51164 \n", + "EntrezGeneID 496 \n", + "EntrezGeneSymbol ATP4B \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1971.1 \n", + "CalReference 1971.1 \n", + "Cal_Example_Adat_Set001 0.98299422 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 1.071 \n", + "QcReference_170255 1389.7 \n", + "Cal_Example_Adat_Set002 1.02784586 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.022 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 5202.4 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 1195.9 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1552.4 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1005.3 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 1132.4 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 1352.3 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1910.9 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1113.3 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 891.1 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 1036.7 \n", + "\n", + "SeqId 9995-6 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL013164 \n", + "TargetFullName Deoxyuridine 5'-triphosphate nucleotidohydrolase, mitochondrial \n", + "Target DUT \n", + "UniProt P33316 \n", + "EntrezGeneID 1854 \n", + "EntrezGeneSymbol DUT \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 1275.6 \n", + "CalReference 1275.6 \n", + "Cal_Example_Adat_Set001 0.97426106 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.985 \n", + "QcReference_170255 950.9 \n", + "Cal_Example_Adat_Set002 0.97351752 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.970 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 2188.4 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 2302.7 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1183.2 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 1399.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 9852.9 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 11604.6 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1855.0 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 1302.7 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 2466.6 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 2142.1 \n", + "\n", + "SeqId 9997-12 \\\n", + "SeqIdVersion 3 \n", + "SomaId SL019215 \n", + "TargetFullName UBX domain-containing protein 4 \n", + "Target UBXN4 \n", + "UniProt Q92575 \n", + "EntrezGeneID 23190 \n", + "EntrezGeneSymbol UBXN4 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 4426.9 \n", + "CalReference 4426.9 \n", + "Cal_Example_Adat_Set001 0.96896272 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.960 \n", + "QcReference_170255 5560.7 \n", + "Cal_Example_Adat_Set002 0.94828953 \n", + "CalQcRatio_Example_Adat_Set002_170255 1.027 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 12697.7 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 13247.8 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 11072.1 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 9082.4 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 38461.1 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 45580.6 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 9778.6 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 8766.2 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 15455.9 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 7950.7 \n", + "\n", + "SeqId 9999-1 \n", + "SeqIdVersion 3 \n", + "SomaId SL019231 \n", + "TargetFullName Interferon regulatory factor 6 \n", + "Target IRF6 \n", + "UniProt O14896 \n", + "EntrezGeneID 3664 \n", + "EntrezGeneSymbol IRF6 \n", + "Organism Human \n", + "Units RFU \n", + "Type Protein \n", + "Dilution 20 \n", + "PlateScale_Reference 851.9 \n", + "CalReference 851.9 \n", + "Cal_Example_Adat_Set001 0.96042841 \n", + "ColCheck PASS \n", + "CalQcRatio_Example_Adat_Set001_170255 0.974 \n", + "QcReference_170255 1033.6 \n", + "Cal_Example_Adat_Set002 0.92900763 \n", + "CalQcRatio_Example_Adat_Set002_170255 0.997 \n", + "PlateId PlateRunDate ScannerID PlatePosition SlideId Subarray SampleId SampleType PercentDilution SampleMatrix Barcode Barcode2d SampleName SampleNotes AliquotingNotes SampleDescription AssayNotes TimePoint ExtIdentifier SsfExtId SampleGroup SiteId TubeUniqueID CLI HybControlNormScale RowCheck NormScale_20 NormScale_0_005 NormScale_0_5 ANMLFractionUsed_20 ANMLFractionUsed_0_005 ANMLFractionUsed_0_5 Age Sex \n", + "Example Adat Set001 2020-06-18 SG15214400 H9 258495800012 3 1 Sample 20 Plasma-PPT 0.98185998 PASS 1.03693580 0.85701624 0.77717491 0.914 0.869 0.903 76 F 966.5 \n", + " H8 258495800004 7 2 Sample 20 Plasma-PPT 0.96671829 PASS 0.96022505 0.84858420 0.85201953 0.937 0.956 0.973 55 F 824.2 \n", + " H7 258495800010 8 3 Sample 20 Plasma-PPT 1.00193072 PASS 0.98411617 1.03270156 0.91519153 0.907 0.919 0.915 47 M 1145.8 \n", + " H6 258495800003 4 4 Sample 20 Plasma-PPT 0.94017961 PASS 1.07839878 0.94626841 0.91246731 0.934 0.919 0.912 37 M 804.6 \n", + " H5 258495800009 4 5 Sample 20 Plasma-PPT 0.94621098 PASS 0.84679446 0.92904553 0.77413056 0.707 0.894 0.708 71 F 2865.9 \n", + "... ... \n", + "Example Adat Set002 2020-07-20 SG15214400 A2 258495800108 3 188 Sample 20 Plasma-PPT 0.96699908 PASS 0.95993275 1.08910138 0.99491979 0.566 0.912 0.719 38 F 3687.1 \n", + " A12 258495800104 2 189 Sample 20 Plasma-PPT 0.91482584 PASS 1.21880129 1.01022697 0.99244374 0.918 0.919 0.926 40 F 1004.4 \n", + " A11 258495800108 5 190 Sample 20 Plasma-PPT 0.88282283 PASS 1.36699142 1.16271427 1.19673587 0.927 0.981 0.964 43 M 770.8 \n", + " A10 258495800105 5 191 Sample 20 Plasma-PPT 0.95792282 PASS 1.30590374 0.98395166 0.97460119 0.835 0.963 0.944 55 M 1190.4 \n", + " A1 258495800110 5 192 Sample 20 Plasma-PPT 0.97384118 PASS 1.30710646 0.93230123 1.00804341 0.793 0.963 0.933 56 F 722.8 \n", + "\n", + "[192 rows x 5284 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lifted_adat" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# because some common documentation refers to plex size intead of assay version the tool also supports lifing by naming plex size.\n", + "lifted_adat = adat.lift('11K')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Serum Lin's CCC v5.0 11K to v4.1 7KPlasma Lin's CCC v5.0 11K to v4.1 7KSerum Lin's CCC v5.0 11K to v4.0 5KPlasma Lin's CCC v5.0 11K to v4.0 5KSerum Lin's CCC v4.1 7K to v4.0 5KPlasma Lin's CCC v4.1 7K to v4.0 5K
10000-280.9770.9820.9700.9660.9670.963
10001-70.8570.9610.8190.8600.8750.875
10003-150.7590.7870.7610.6740.7740.668
10006-250.9370.9270.9030.8640.9370.877
10008-430.9510.9390.9150.8790.9250.908
.....................
9993-110.8230.8550.7040.7530.7140.711
9994-2170.4920.9640.5020.7670.8090.778
9995-60.9750.9760.9650.9160.9830.922
9997-120.8770.9550.8570.8920.9260.885
9999-10.9090.9620.8700.8830.9440.898
\n", + "

11083 rows × 6 columns

\n", + "
" + ], + "text/plain": [ + " Serum Lin's CCC v5.0 11K to v4.1 7K \\\n", + "10000-28 0.977 \n", + "10001-7 0.857 \n", + "10003-15 0.759 \n", + "10006-25 0.937 \n", + "10008-43 0.951 \n", + "... ... \n", + "9993-11 0.823 \n", + "9994-217 0.492 \n", + "9995-6 0.975 \n", + "9997-12 0.877 \n", + "9999-1 0.909 \n", + "\n", + " Plasma Lin's CCC v5.0 11K to v4.1 7K \\\n", + "10000-28 0.982 \n", + "10001-7 0.961 \n", + "10003-15 0.787 \n", + "10006-25 0.927 \n", + "10008-43 0.939 \n", + "... ... \n", + "9993-11 0.855 \n", + "9994-217 0.964 \n", + "9995-6 0.976 \n", + "9997-12 0.955 \n", + "9999-1 0.962 \n", + "\n", + " Serum Lin's CCC v5.0 11K to v4.0 5K \\\n", + "10000-28 0.970 \n", + "10001-7 0.819 \n", + "10003-15 0.761 \n", + "10006-25 0.903 \n", + "10008-43 0.915 \n", + "... ... \n", + "9993-11 0.704 \n", + "9994-217 0.502 \n", + "9995-6 0.965 \n", + "9997-12 0.857 \n", + "9999-1 0.870 \n", + "\n", + " Plasma Lin's CCC v5.0 11K to v4.0 5K \\\n", + "10000-28 0.966 \n", + "10001-7 0.860 \n", + "10003-15 0.674 \n", + "10006-25 0.864 \n", + "10008-43 0.879 \n", + "... ... \n", + "9993-11 0.753 \n", + "9994-217 0.767 \n", + "9995-6 0.916 \n", + "9997-12 0.892 \n", + "9999-1 0.883 \n", + "\n", + " Serum Lin's CCC v4.1 7K to v4.0 5K \\\n", + "10000-28 0.967 \n", + "10001-7 0.875 \n", + "10003-15 0.774 \n", + "10006-25 0.937 \n", + "10008-43 0.925 \n", + "... ... \n", + "9993-11 0.714 \n", + "9994-217 0.809 \n", + "9995-6 0.983 \n", + "9997-12 0.926 \n", + "9999-1 0.944 \n", + "\n", + " Plasma Lin's CCC v4.1 7K to v4.0 5K \n", + "10000-28 0.963 \n", + "10001-7 0.875 \n", + "10003-15 0.668 \n", + "10006-25 0.877 \n", + "10008-43 0.908 \n", + "... ... \n", + "9993-11 0.711 \n", + "9994-217 0.778 \n", + "9995-6 0.922 \n", + "9997-12 0.885 \n", + "9999-1 0.898 \n", + "\n", + "[11083 rows x 6 columns]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Observing the Lin's CCC of the lifting scale factors.\n", + "from canopy.data import getSomaScanLiftCCC\n", + "\n", + "# the method returns a pandas dataframe containing the available lift Lins's CCC values:\n", + "ccc = getSomaScanLiftCCC()\n", + "\n", + "ccc" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Lin's CCC Between Lifted and Assay Space Native Data\n", + "The tool allows you to display Lin's concordance correlation coefficient ([Lin 1989](https://pubmed.ncbi.nlm.nih.gov/2720055/)) derived during the calculation of the lifting scale factors. This metric allows you to see how well lifted data is expected to correlate with date collected originally in the target assay data signal space. A Lin's CCC close to 1.0 indicates strong correlation indicating the signal would be highly concordant with the lifted value if the sample data were collected in the target assay version space.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10000-28 0.966\n", + "10001-7 0.860\n", + "10003-15 0.674\n", + "10006-25 0.864\n", + "10008-43 0.879\n", + " ... \n", + "9993-11 0.753\n", + "9994-217 0.767\n", + "9995-6 0.916\n", + "9997-12 0.892\n", + "9999-1 0.883\n", + "Name: Plasma Lin's CCC v5.0 11K to v4.0 5K, Length: 11083, dtype: float64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your exact transformation's Lin's CCC can be selected by filtering the column that contains your matrix and versions\n", + "# Lin's CCC are symetrical v5.0 -> v4.0 == v4.0 -> v5.0.\n", + "ccc[\"Plasma Lin's CCC v5.0 11K to v4.0 5K\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "### Writing an `ADAT` file\n", + "\n", + "\n", + "In order to store or share analysis the user may need to write out an ADAT file. This utility supports writing to the file system.\n", + "\n", + "\n", + "[return to top](#toptoc)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "adat.to_adat('/tmp/out_file.adat')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "# Typical Analyses\n", + "Although it is beyond the scope of the `Canopy` package, below are 3\n", + "sample analyses that typical users/clients would perform on SomaLogic data.\n", + "They are not intended to be a definitive guide in statistical\n", + "analysis and existing packages do exist in the `Python` universe that perform parts\n", + "or extensions of these techniques. Many variations of the workflows below\n", + "exist, however the framework highlights how one could perform standard\n", + "preliminary analyses on SomaLogic data for: \n", + " - Two-group differential expression (t-test)\n", + " - Binary classification (logistic regression)\n", + " - Linear regression\n", + "\n", + "[return to top](#toptoc)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compare Groups (M/F) via t-test" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "from canopy.data.example_data import example_data # Example ADAT included with Canopy\n", + "from scipy.stats import ttest_ind\n", + "from collections import Counter\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "import numpy as np\n", + "from io import StringIO" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Display the shape of the adat (rows, columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(192, 5284)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "example_data.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Describe the sample types within the adat and display their counts" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Counter({'Sample': 170, 'Calibrator': 10, 'Buffer': 6, 'QC': 6})" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Counter(example_data.index.get_level_values('SampleType'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Prepare the adat for analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "filtered_transformed_data = (\n", + " example_data\n", + " .exclude_on_meta(axis=0, name='Sex', values=['']) # rm NAs if present\n", + " .pick_on_meta(axis=0, name='SampleType', values=['Sample']) # rm control samples\n", + " .apply(np.log10) # log10-transform\n", + ")\n", + "\n", + "clean_data = (\n", + " filtered_transformed_data\n", + " .insert_keyed_meta( # map Sex -> 0/1\n", + " axis=0,\n", + " key_meta_name='Sex',\n", + " inserted_meta_name='Group',\n", + " values_dict={'M': 1, 'F': 0}\n", + " )\n", + " .apply(lambda x: x - x.mean(), axis=0) # center features\n", + " .apply(lambda x: x / x.std(), axis=0) # scale features\n", + ")" + ] + }, + { + "cell_type": "markdown", "metadata": {}, "source": [ "### Display the grouping counts" @@ -2329,7 +7911,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 33, "metadata": { "tags": [] }, @@ -2338,12 +7920,14 @@ "name": "stdout", "output_type": "stream", "text": [ + "Sex\n", "F 85\n", "M 85\n", - "Name: Sex, dtype: int64\n", - "1 85\n", + "Name: count, dtype: int64\n", + "Group\n", "0 85\n", - "Name: Group, dtype: int64\n" + "1 85\n", + "Name: count, dtype: int64\n" ] } ], @@ -2361,7 +7945,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -2381,7 +7965,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -2401,7 +7985,7 @@ " 'Neurotrimin']" ] }, - "execution_count": 25, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -2421,4290 +8005,17 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n" - ], + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -6740,7 +8051,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -6761,7 +8072,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -6788,7 +8099,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 39, "metadata": { "tags": [] }, @@ -6811,7 +8122,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 40, "metadata": { "tags": [] }, @@ -7050,7 +8361,7 @@ "" ] }, - "execution_count": 32, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -7074,7 +8385,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -7092,19 +8403,19 @@ " Model Family: Binomial Df Model: 5 \n", "\n", "\n", - " Link Function: logit Scale: 1.0000\n", + " Link Function: Logit Scale: 1.0000\n", "\n", "\n", " Method: IRLS Log-Likelihood: -8.4167\n", "\n", "\n", - " Date: Fri, 25 Sep 2020 Deviance: 16.833\n", + " Date: Fri, 01 Mar 2024 Deviance: 16.833\n", "\n", "\n", - " Time: 15:33:26 Pearson chi2: 17.8 \n", + " Time: 13:19:34 Pearson chi2: 17.8 \n", "\n", "\n", - " No. Iterations: 10 \n", + " No. Iterations: 10 Pseudo R-squ. (CS): 0.7186 \n", "\n", "\n", " Covariance Type: nonrobust \n", @@ -7134,6 +8445,35 @@ "\n", "" ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & y & \\textbf{ No. Observations: } & 145 \\\\\n", + "\\textbf{Model:} & GLM & \\textbf{ Df Residuals: } & 139 \\\\\n", + "\\textbf{Model Family:} & Binomial & \\textbf{ Df Model: } & 5 \\\\\n", + "\\textbf{Link Function:} & Logit & \\textbf{ Scale: } & 1.0000 \\\\\n", + "\\textbf{Method:} & IRLS & \\textbf{ Log-Likelihood: } & -8.4167 \\\\\n", + "\\textbf{Date:} & Fri, 01 Mar 2024 & \\textbf{ Deviance: } & 16.833 \\\\\n", + "\\textbf{Time:} & 13:19:34 & \\textbf{ Pearson chi2: } & 17.8 \\\\\n", + "\\textbf{No. Iterations:} & 10 & \\textbf{ Pseudo R-squ. (CS):} & 0.7186 \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 1.6106 & 1.178 & 1.367 & 0.172 & -0.699 & 3.920 \\\\\n", + "\\textbf{('6580-29', 'Pregnancy zone protein')} & -7.0008 & 3.112 & -2.250 & 0.024 & -13.099 & -0.902 \\\\\n", + "\\textbf{('5763-67', 'Beta-defensin 104')} & 2.7821 & 1.255 & 2.217 & 0.027 & 0.322 & 5.242 \\\\\n", + "\\textbf{('3032-11', 'Follicle stimulating hormone')} & -1.1722 & 0.818 & -1.432 & 0.152 & -2.776 & 0.432 \\\\\n", + "\\textbf{('7926-13', 'Kunitz-type protease inhibitor 3')} & 2.2901 & 1.053 & 2.174 & 0.030 & 0.226 & 4.354 \\\\\n", + "\\textbf{('16892-23', 'Ectonucleotide pyrophosphatase/phosphodiesterase family member 2')} & -3.6045 & 1.498 & -2.407 & 0.016 & -6.540 & -0.669 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{Generalized Linear Model Regression Results}\n", + "\\end{center}" + ], "text/plain": [ "\n", "\"\"\"\n", @@ -7142,11 +8482,11 @@ "Dep. Variable: y No. Observations: 145\n", "Model: GLM Df Residuals: 139\n", "Model Family: Binomial Df Model: 5\n", - "Link Function: logit Scale: 1.0000\n", + "Link Function: Logit Scale: 1.0000\n", "Method: IRLS Log-Likelihood: -8.4167\n", - "Date: Fri, 25 Sep 2020 Deviance: 16.833\n", - "Time: 15:33:26 Pearson chi2: 17.8\n", - "No. Iterations: 10 \n", + "Date: Fri, 01 Mar 2024 Deviance: 16.833\n", + "Time: 13:19:34 Pearson chi2: 17.8\n", + "No. Iterations: 10 Pseudo R-squ. (CS): 0.7186\n", "Covariance Type: nonrobust \n", "====================================================================================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", @@ -7161,7 +8501,7 @@ "\"\"\"" ] }, - "execution_count": 33, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -7176,7 +8516,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -7188,7 +8528,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -7221,7 +8561,7 @@ "" ] }, - "execution_count": 35, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -7244,928 +8584,17 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n" - ], + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -8192,7 +8621,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -8219,7 +8648,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 46, "metadata": { "tags": [] }, @@ -8242,7 +8671,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -8479,7 +8908,7 @@ "" ] }, - "execution_count": 39, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -8503,7 +8932,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -8521,10 +8950,10 @@ " Method: Least Squares F-statistic: 17.05\n", "\n", "\n", - " Date: Fri, 25 Sep 2020 Prob (F-statistic): 2.29e-17\n", + " Date: Fri, 01 Mar 2024 Prob (F-statistic): 2.29e-17\n", "\n", "\n", - " Time: 15:34:06 Log-Likelihood: -522.29\n", + " Time: 13:20:02 Log-Likelihood: -522.29\n", "\n", "\n", " No. Observations: 145 AIC: 1063.\n", @@ -8584,7 +9013,49 @@ "\n", " Kurtosis: 3.008 Cond. No. 4.53\n", "\n", - "

Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + "

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & y & \\textbf{ R-squared: } & 0.501 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.471 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 17.05 \\\\\n", + "\\textbf{Date:} & Fri, 01 Mar 2024 & \\textbf{ Prob (F-statistic):} & 2.29e-17 \\\\\n", + "\\textbf{Time:} & 13:20:02 & \\textbf{ Log-Likelihood: } & -522.29 \\\\\n", + "\\textbf{No. Observations:} & 145 & \\textbf{ AIC: } & 1063. \\\\\n", + "\\textbf{Df Residuals:} & 136 & \\textbf{ BIC: } & 1089. \\\\\n", + "\\textbf{Df Model:} & 8 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 55.5436 & 0.765 & 72.602 & 0.000 & 54.031 & 57.057 \\\\\n", + "\\textbf{('3045-72', 'Pleiotrophin')} & 1.6913 & 1.197 & 1.413 & 0.160 & -0.676 & 4.059 \\\\\n", + "\\textbf{('4374-45', 'Growth/differentiation factor 15')} & 1.2404 & 1.258 & 0.986 & 0.326 & -1.247 & 3.728 \\\\\n", + "\\textbf{('3024-18', 'Alpha-2-antiplasmin')} & -2.5113 & 0.910 & -2.758 & 0.007 & -4.312 & -0.711 \\\\\n", + "\\textbf{('6392-7', 'WNT1-inducible-signaling pathway protein 2')} & 1.5143 & 0.997 & 1.519 & 0.131 & -0.457 & 3.486 \\\\\n", + "\\textbf{('8480-29', 'EGF-containing fibulin-like extracellular matrix protein 1')} & 2.1363 & 0.972 & 2.197 & 0.030 & 0.214 & 4.059 \\\\\n", + "\\textbf{('15640-54', 'Transgelin')} & 1.2006 & 1.010 & 1.189 & 0.237 & -0.796 & 3.198 \\\\\n", + "\\textbf{('15533-97', 'Macrophage scavenger receptor types I and II')} & 0.8792 & 1.223 & 0.719 & 0.474 & -1.540 & 3.298 \\\\\n", + "\\textbf{('15386-7', 'Fatty acid-binding protein, adipocyte')} & 1.1453 & 1.180 & 0.971 & 0.333 & -1.188 & 3.479 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 2.712 & \\textbf{ Durbin-Watson: } & 2.042 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.258 & \\textbf{ Jarque-Bera (JB): } & 2.501 \\\\\n", + "\\textbf{Skew:} & -0.322 & \\textbf{ Prob(JB): } & 0.286 \\\\\n", + "\\textbf{Kurtosis:} & 3.008 & \\textbf{ Cond. No. } & 4.53 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified." ], "text/plain": [ "\n", @@ -8594,8 +9065,8 @@ "Dep. Variable: y R-squared: 0.501\n", "Model: OLS Adj. R-squared: 0.471\n", "Method: Least Squares F-statistic: 17.05\n", - "Date: Fri, 25 Sep 2020 Prob (F-statistic): 2.29e-17\n", - "Time: 15:34:06 Log-Likelihood: -522.29\n", + "Date: Fri, 01 Mar 2024 Prob (F-statistic): 2.29e-17\n", + "Time: 13:20:02 Log-Likelihood: -522.29\n", "No. Observations: 145 AIC: 1063.\n", "Df Residuals: 136 BIC: 1089.\n", "Df Model: 8 \n", @@ -8619,12 +9090,12 @@ "Kurtosis: 3.008 Cond. No. 4.53\n", "==============================================================================\n", "\n", - "Warnings:\n", + "Notes:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", "\"\"\"" ] }, - "execution_count": 40, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -8645,7 +9116,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -8668,7 +9139,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -8707,7 +9178,7 @@ "" ] }, - "execution_count": 42, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -8750,905 +9221,17 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 51, "metadata": {}, "outputs": [ { "data": { - "image/png": "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", - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n" - ], + "image/png": "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", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -9687,13 +9270,23 @@ " - \n", " - [https://tldrlegal.com/license/mit-license/](https://tldrlegal.com/license/mit-license)\n", "\n", - "-----" + "-----\n", + "\n", + "\n", + "[return to top](#toptoc)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -9707,7 +9300,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.2" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/README.md b/README.md index 6ae9654..b755ae7 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,3 @@ -{* SHOULD BE PLACED IN $HOME/.virtualenvs/canopy/share/jupyter/nbconvert/templates/pythoncodeblocks.tpl *} - # The Python `Canopy` Package from Somalogic, Inc. ![cover](https://img.shields.io/badge/coverage-97-success.svg?style=flat&logo=codecov) @@ -10,10 +8,25 @@ MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://choosealicense. ## Overview -This document accompanies the Python package `canopy`, which loads the SomaLogic Operating Company, Inc. proprietary data file called an `*.adat`. The package provides auxiliary functions for extracting relevant information from the ADAT object once in the Python environment. Basic familiarity with the Python environment is assumed, as is the ability to install contributed packages from the Python Package Installer (pip) +This document accompanies the Python package `canopy`, which loads the SomaLogic, Inc. structured text data file called an `*.adat`. The `canopy.Adat` object is an extension of the `pandas.DataFrame` class. The package provides auxiliary functions for extracting relevant information from the ADAT object once in the Python environment. Basic familiarity with the Python environment is assumed, as is the ability to install contributed packages from the Python Package Installer (pip) ----- + +## Table of Contents: + +1. [Installation](#installation) +2. [Basic Use](#basics) +3. [Reading ADAT text files](#reading) +4. [Wrangling Data](#wrangling) +5. [Adding Metadata](#add-metadata) +6. [Slicing Data](#slicing) +7. [SomaScan Version Lifting](#lifting) +8. [Writing an ADAT text file](#writing) +9. [Example Data Analysis](#example) + + + ## Installation The easiest way to install `Canopy` is to install directly from GitHub: @@ -35,12 +48,16 @@ pip install -e ./canopy - `pandas >= 1.1.0` - `numpy >= 1.19.1` +[return to top](#toptoc) + ## Basics Upon installation, load `canopy` as normal: +[return to top](#toptoc) + ```python import canopy @@ -54,27 +71,25 @@ help(canopy) # help(canopy.adat) ... etc ``` -*Output* -``` python -#> Help on package canopy: -#> -#> NAME -#> canopy -#> -#> PACKAGE CONTENTS -#> adat -#> base (package) -#> data (package) -#> errors -#> io (package) -#> tools (package) -#> -#> FILE -#> /Users/jallison/Code/canopy/canopy/__init__.py -#> -#> -#> -``` + Help on package canopy: + + NAME + canopy + + PACKAGE CONTENTS + adat + annotations + base (package) + data (package) + errors + io (package) + tools (package) + + FILE + /Users/tjohnson/code/repos/Canopy/canopy/__init__.py + + + ### Internal Objects @@ -92,28 +107,41 @@ The `canopy` package comes with one internal object available to users to run ca - Write out an `adat` object as a `*.adat` text file. ----- + ### Loading an ADAT + +[return to top](#toptoc) + Loading the sample file from within the canopy library via its path ```python -adat = canopy.read_file('./canopy/data/example_data.adat') +adat = canopy.read_adat('./canopy/data/example_data.adat') type(adat) ``` -*Output* -``` python -#> canopy.adat.Adat + canopy.adat.Adat + + + + +```python +adat.shape ``` + (192, 5284) + + + + ```python adat.columns ``` @@ -121,31 +149,28 @@ adat.columns -*Output* -``` python -#> MultiIndex([( '10000-28', '3', 'SL019233', ...), -#> ( '10001-7', '3', 'SL002564', ...), -#> ( '10003-15', '3', 'SL019245', ...), -#> ( '10006-25', '3', 'SL019228', ...), -#> ( '10008-43', '3', 'SL019234', ...), -#> ( '10011-65', '3', 'SL019246', ...), -#> ( '10012-5', '3', 'SL014669', ...), -#> ( '10013-34', '3', 'SL025418', ...), -#> ( '10014-31', '3', 'SL007803', ...), -#> ('10015-119', '3', 'SL014924', ...), -#> ... -#> ( '9981-18', '3', 'SL018293', ...), -#> ( '9983-97', '3', 'SL019202', ...), -#> ( '9984-12', '3', 'SL019205', ...), -#> ( '9986-14', '3', 'SL005356', ...), -#> ( '9989-12', '3', 'SL019194', ...), -#> ( '9993-11', '3', 'SL019212', ...), -#> ( '9994-217', '3', 'SL019217', ...), -#> ( '9995-6', '3', 'SL013164', ...), -#> ( '9997-12', '3', 'SL019215', ...), -#> ( '9999-1', '3', 'SL019231', ...)], -#> names=['SeqId', 'SeqIdVersion', 'SomaId', 'TargetFullName', 'Target', 'UniProt', 'EntrezGeneID', 'EntrezGeneSymbol', 'Organism', 'Units', 'Type', 'Dilution', 'PlateScale_Reference', 'CalReference', 'Cal_Example_Adat_Set001', 'ColCheck', 'CalQcRatio_Example_Adat_Set001_170255', 'QcReference_170255', 'Cal_Example_Adat_Set002', 'CalQcRatio_Example_Adat_Set002_170255'], length=5284) -``` + MultiIndex([( '10000-28', '3', 'SL019233', ...), + ( '10001-7', '3', 'SL002564', ...), + ( '10003-15', '3', 'SL019245', ...), + ( '10006-25', '3', 'SL019228', ...), + ( '10008-43', '3', 'SL019234', ...), + ( '10011-65', '3', 'SL019246', ...), + ( '10012-5', '3', 'SL014669', ...), + ( '10013-34', '3', 'SL025418', ...), + ( '10014-31', '3', 'SL007803', ...), + ('10015-119', '3', 'SL014924', ...), + ... + ( '9981-18', '3', 'SL018293', ...), + ( '9983-97', '3', 'SL019202', ...), + ( '9984-12', '3', 'SL019205', ...), + ( '9986-14', '3', 'SL005356', ...), + ( '9989-12', '3', 'SL019194', ...), + ( '9993-11', '3', 'SL019212', ...), + ( '9994-217', '3', 'SL019217', ...), + ( '9995-6', '3', 'SL013164', ...), + ( '9997-12', '3', 'SL019215', ...), + ( '9999-1', '3', 'SL019231', ...)], + names=['SeqId', 'SeqIdVersion', 'SomaId', 'TargetFullName', 'Target', 'UniProt', 'EntrezGeneID', 'EntrezGeneSymbol', 'Organism', 'Units', 'Type', 'Dilution', 'PlateScale_Reference', 'CalReference', 'Cal_Example_Adat_Set001', 'ColCheck', 'CalQcRatio_Example_Adat_Set001_170255', 'QcReference_170255', 'Cal_Example_Adat_Set002', 'CalQcRatio_Example_Adat_Set002_170255'], length=5284) @@ -160,7 +185,6 @@ HTML(adat.iloc[:5,:5].to_html()) # Need to use HTML & to_html() here to display -*Output* @@ -1234,87 +1258,88 @@ adat.header_metadata -*Output* -``` python -#> {'!AdatId': 'GID-1234-56-789-abcdef', -#> '!Version': '1.2', -#> '!AssayType': 'PharmaServices', -#> '!AssayVersion': 'V4', -#> '!AssayRobot': 'Fluent 1 L-307', -#> '!Legal': 'Experiment details and data have been processed to protect Personally Identifiable Information (PII) and comply with existing privacy laws.', -#> '!CreatedBy': 'PharmaServices', -#> '!CreatedDate': '2020-07-24', -#> '!EnteredBy': 'Technician1', -#> '!ExpDate': '2020-06-18, 2020-07-20', -#> '!GeneratedBy': 'Px (Build: : ), Canopy_0.1.1', -#> '!RunNotes': "2 columns ('Age' and 'Sex') have been added to this ADAT. Age has been randomly increased or decreased by 1-2 years to protect patient information", -#> '!ProcessSteps': 'Raw RFU, Hyb Normalization, medNormInt (SampleId), plateScale, Calibration, anmlQC, qcCheck, anmlSMP', -#> '!ProteinEffectiveDate': '2019-08-06', -#> '!StudyMatrix': 'EDTA Plasma', -#> '!PlateType': '', -#> '!LabLocation': 'SLUS', -#> '!StudyOrganism': '', -#> '!Title': 'Example Adat Set001, Example Adat Set002', -#> '!AssaySite': 'SW', -#> '!CalibratorId': '170261', -#> '!ReportConfig': {'analysisSteps': [{'stepType': 'hybNorm', -#> 'referenceSource': 'intraplate', -#> 'includeSampleTypes': ['QC', 'Calibrator', 'Buffer']}, -#> {'stepName': 'medNormInt', -#> 'stepType': 'medNorm', -#> 'includeSampleTypes': ['Calibrator', 'Buffer'], -#> 'referenceSource': 'intraplate', -#> 'referenceFields': ['SampleId']}, -#> {'stepType': 'plateScale', -#> 'referenceSource': 'Reference_v4_Plasma_Calibrator_170261'}, -#> {'stepType': 'calibrate', -#> 'referenceSource': 'Reference_v4_Plasma_Calibrator_170261'}, -#> {'stepName': 'anmlQC', -#> 'stepType': 'ANML', -#> 'effectSizeCutoff': 2.0, -#> 'minFractionUsed': 0.3, -#> 'includeSampleTypes': ['QC'], -#> 'referenceSource': 'Reference_v4_Plasma_ANML'}, -#> {'stepType': 'qcCheck', -#> 'QCReferenceSource': 'Reference_v4_Plasma_QC_ANML_170255', -#> 'tailsCriteriaLower': 0.8, -#> 'tailsCriteriaUpper': 1.2, -#> 'tailThreshold': 15.0, -#> 'QCAdditionalReferenceSources': ['Reference_v4_Plasma_QC_ANML_170259', -#> 'Reference_v4_Plasma_QC_ANML_170260'], -#> 'prenormalized': True}, -#> {'stepName': 'anmlSMP', -#> 'stepType': 'ANML', -#> 'effectSizeCutoff': 2.0, -#> 'minFractionUsed': 0.3, -#> 'includeSampleTypes': ['Sample'], -#> 'referenceSource': 'Reference_v4_Plasma_ANML'}], -#> 'qualityReports': ['SQS Report'], -#> 'filter': {'proteinEffectiveDate': '2019-08-06'}}, -#> 'HybNormReference': 'intraplate', -#> 'MedNormReference': 'intraplate', -#> 'NormalizationAlgorithm': 'ANML', -#> 'PlateScale_ReferenceSource': 'Reference_v4_Plasma_Calibrator_170261', -#> 'PlateScale_Scalar_Example_Adat_Set001': '1.08091554', -#> 'PlateScale_PassFlag_Example_Adat_Set001': 'PASS', -#> 'CalibrationReference': 'Reference_v4_Plasma_Calibrator_170261', -#> 'CalPlateTailPercent_Example_Adat_Set001': '0.1', -#> 'PlateTailPercent_Example_Adat_Set001': '1.2', -#> 'PlateTailTest_Example_Adat_Set001': 'PASS', -#> 'PlateScale_Scalar_Example_Adat_Set002': '1.09915270', -#> 'PlateScale_PassFlag_Example_Adat_Set002': 'PASS', -#> 'CalPlateTailPercent_Example_Adat_Set002': '2.6', -#> 'PlateTailPercent_Example_Adat_Set002': '4.2', -#> 'PlateTailTest_Example_Adat_Set002': 'PASS'} -``` + {'!AdatId': 'GID-1234-56-789-abcdef', + '!Version': '1.2', + '!AssayType': 'PharmaServices', + '!AssayVersion': 'V4', + '!AssayRobot': 'Fluent 1 L-307', + '!Legal': 'Experiment details and data have been processed to protect Personally Identifiable Information (PII) and comply with existing privacy laws.', + '!CreatedBy': 'PharmaServices', + '!CreatedDate': '2020-07-24', + '!EnteredBy': 'Technician1', + '!ExpDate': '2020-06-18, 2020-07-20', + '!GeneratedBy': 'Px (Build: : ), Canopy_0.1.1', + '!RunNotes': "2 columns ('Age' and 'Sex') have been added to this ADAT. Age has been randomly increased or decreased by 1-2 years to protect patient information", + '!ProcessSteps': 'Raw RFU, Hyb Normalization, medNormInt (SampleId), plateScale, Calibration, anmlQC, qcCheck, anmlSMP', + '!ProteinEffectiveDate': '2019-08-06', + '!StudyMatrix': 'EDTA Plasma', + '!PlateType': '', + '!LabLocation': 'SLUS', + '!StudyOrganism': '', + '!Title': 'Example Adat Set001, Example Adat Set002', + '!AssaySite': 'SW', + '!CalibratorId': '170261', + '!ReportConfig': {'analysisSteps': [{'stepType': 'hybNorm', + 'referenceSource': 'intraplate', + 'includeSampleTypes': ['QC', 'Calibrator', 'Buffer']}, + {'stepName': 'medNormInt', + 'stepType': 'medNorm', + 'includeSampleTypes': ['Calibrator', 'Buffer'], + 'referenceSource': 'intraplate', + 'referenceFields': ['SampleId']}, + {'stepType': 'plateScale', + 'referenceSource': 'Reference_v4_Plasma_Calibrator_170261'}, + {'stepType': 'calibrate', + 'referenceSource': 'Reference_v4_Plasma_Calibrator_170261'}, + {'stepName': 'anmlQC', + 'stepType': 'ANML', + 'effectSizeCutoff': 2.0, + 'minFractionUsed': 0.3, + 'includeSampleTypes': ['QC'], + 'referenceSource': 'Reference_v4_Plasma_ANML'}, + {'stepType': 'qcCheck', + 'QCReferenceSource': 'Reference_v4_Plasma_QC_ANML_170255', + 'tailsCriteriaLower': 0.8, + 'tailsCriteriaUpper': 1.2, + 'tailThreshold': 15.0, + 'QCAdditionalReferenceSources': ['Reference_v4_Plasma_QC_ANML_170259', + 'Reference_v4_Plasma_QC_ANML_170260'], + 'prenormalized': True}, + {'stepName': 'anmlSMP', + 'stepType': 'ANML', + 'effectSizeCutoff': 2.0, + 'minFractionUsed': 0.3, + 'includeSampleTypes': ['Sample'], + 'referenceSource': 'Reference_v4_Plasma_ANML'}], + 'qualityReports': ['SQS Report'], + 'filter': {'proteinEffectiveDate': '2019-08-06'}}, + 'HybNormReference': 'intraplate', + 'MedNormReference': 'intraplate', + 'NormalizationAlgorithm': 'ANML', + 'PlateScale_ReferenceSource': 'Reference_v4_Plasma_Calibrator_170261', + 'PlateScale_Scalar_Example_Adat_Set001': '1.08091554', + 'PlateScale_PassFlag_Example_Adat_Set001': 'PASS', + 'CalibrationReference': 'Reference_v4_Plasma_Calibrator_170261', + 'CalPlateTailPercent_Example_Adat_Set001': '0.1', + 'PlateTailPercent_Example_Adat_Set001': '1.2', + 'PlateTailTest_Example_Adat_Set001': 'PASS', + 'PlateScale_Scalar_Example_Adat_Set002': '1.09915270', + 'PlateScale_PassFlag_Example_Adat_Set002': 'PASS', + 'CalPlateTailPercent_Example_Adat_Set002': '2.6', + 'PlateTailPercent_Example_Adat_Set002': '4.2', + 'PlateTailTest_Example_Adat_Set002': 'PASS'} Canopy's Adat object inherits the pandas printing methods which displays nicely in Jupyter Notebooks when using `IPython.display.display()`. + + ### Wrangling Dataframe `columns` Contain Feature Information +[return to top](#toptoc) + ```python # Using the `adat` loaded from above @@ -1325,10 +1350,7 @@ type(aptamer_df) -*Output* -``` python -#> pandas.core.frame.DataFrame -``` + pandas.core.frame.DataFrame @@ -1340,7 +1362,6 @@ HTML(aptamer_df.head(5).to_html()) -*Output*
@@ -1501,10 +1522,7 @@ type(col_df) -*Output* -``` python -#> pandas.core.frame.DataFrame -``` + pandas.core.frame.DataFrame @@ -1516,7 +1534,6 @@ HTML(col_df.head(5).to_html()) -*Output*
@@ -1674,14 +1691,11 @@ adat.columns.get_level_values('SeqId')[:20] # first 20 features -*Output* -``` python -#> Index(['10000-28', '10001-7', '10003-15', '10006-25', '10008-43', '10011-65', -#> '10012-5', '10013-34', '10014-31', '10015-119', '10021-1', '10022-207', -#> '10023-32', '10024-44', '10030-8', '10034-16', '10035-6', '10036-201', -#> '10037-98', '10040-63'], -#> dtype='object', name='SeqId') -``` + Index(['10000-28', '10001-7', '10003-15', '10006-25', '10008-43', '10011-65', + '10012-5', '10013-34', '10014-31', '10015-119', '10021-1', '10022-207', + '10023-32', '10024-44', '10030-8', '10034-16', '10035-6', '10036-201', + '10037-98', '10040-63'], + dtype='object', name='SeqId') @@ -1695,10 +1709,7 @@ adat.shape[1] -*Output* -``` python -#> 5284 -``` + 5284 @@ -1716,10 +1727,7 @@ type(sample_df) -*Output* -``` python -#> pandas.core.frame.DataFrame -``` + pandas.core.frame.DataFrame @@ -1731,7 +1739,6 @@ HTML(sample_df.head(5).to_html()) -*Output*
@@ -1963,230 +1970,4327 @@ HTML(sample_df.head(5).to_html()) -### Math -You may perform mathematical transformations on the feature data via apply or calling those functions and passing the entire dataframe. - - -```python -import numpy as np -# Using the `adat` loaded from above -log10_adat = adat.apply(np.log10) # equivalent to `np.log10(adat)` -rounded_adat = adat.apply(round, args=[5,]) # equivalent to `round(adat, 5)` -sqrt_adat = adat.apply(np.sqrt) # equivlane to `np.sqrt(adat)` -``` - -### Subsetting/Slicing the Dataframe - -You may extract certain subgroups of samples and/or features. Canopy augments the pandas dataframe with a number of helper functions to aid the user. - + +### Modifying Metadata -```python -# Extract rows of only calibrator-type samples -calibrator_adat = adat.pick_on_meta(axis=0, name='SampleType', values=['Calibrator']) - -# Exclude calibrator-type samples -non_calibrator_adat = adat.exclude_on_meta(axis=0, name='SampleType', values=['Calibrator']) - -# Extract columns containing features that start with 'MMP' -target_names = adat.columns.get_level_values('Target') -mmp_names = [target for target in target_names if target.startswith('MMP')] -mmp_adat = adat.pick_on_meta(axis=1, name='Type', values=mmp_names) -``` +The `Adat` index and columns are `pandas.MultiIndex` objects. Several convenience functions exist to help you modify these objects. Typically, the row metadata (axis=0) represents data describing the sample or the individual from whom the sample was collected. The column metadata (axis=1) contains data regarding the SOMAmer reagent, the reagent's target and scalars applied to columns during normalization, these columns are not usually edited by the end user but can be using the same methods demonstrated on row metadata below. -### Writing an `adat` +[return to top](#toptoc) -```python -adat.to_file('/tmp/out_file.adat') -``` +#### Add Row Metadata -# Typical Analyses -Although it is beyond the scope of the `Canopy` package, below are 3 -sample analyses that typical users/clients would perform on SomaLogic data. -They are not intended to be a definitive guide in statistical -analysis and existing packages do exist in the `Python` universe that perform parts -or extensions of these techniques. Many variations of the workflows below -exist, however the framework highlights how one could perform standard -preliminary analyses on SomaLogic data for: - - Two-group differential expression (t-test) - - Binary classification (logistic regression) - - Linear regression +Row metadata is sample level information which could include added clinical data like age, sex or clinical measurements. The Adat class facilitates managing this data. -## Compare Groups (M/F) via t-test ```python -from canopy.data.example_data import example_data # Example ADAT included with Canopy -from scipy.stats import ttest_ind -from collections import Counter -import matplotlib.pyplot as plt -import seaborn as sns +# using ittertools to sumulate some metadata: +from itertools import cycle, islice import pandas as pd -import numpy as np -from io import StringIO -``` - -### Display the shape of the adat (rows, columns) - - -```python -example_data.shape -``` - - - -*Output* -``` python -#> (192, 5284) +# for demonstration we will simulate two types of metadata. Metadata stored in a list and metadata stored with key-value pairs. +metadata_list = list(islice(cycle(['A', 'B', 'X', 'Y']), adat.shape[0])) +metadata_dictionary = {k:v for k, v in zip(adat.index.get_level_values('SampleId').to_list(), metadata_list)} ``` +#### Add unlabeled metadata +You might do this if you know your metadata and `Adat` are ordered the same way but you are not using a shared key. -### Describe the sample types within the adat and display their counts +[return to top](#toptoc) ```python -Counter(example_data.index.get_level_values('SampleType')) +new_meta_adat = adat.insert_meta(0,'GroupData', metadata_list) +# this will produce a new Adat file with group data in the right most column of the index +new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'GroupData']] ``` -*Output* -``` python -#> Counter({'Sample': 170, 'Calibrator': 10, 'Buffer': 6, 'QC': 6}) -``` +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PlateIdSampleIdGroupData
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
+ -### Prepare the adat for analysis +#### Add Keyed Metadata -```python -filtered_transformed_data = ( - example_data - .exclude_on_meta(axis=0, name='Sex', values=['']) # rm NAs if present - .pick_on_meta(axis=0, name='SampleType', values=['Sample']) # rm control samples - .apply(np.log10) # log10-transform -) +You might have data coming in as key value pairs from another data source. In that case it is easier to insert metadata using those keys: -clean_data = ( - filtered_transformed_data - .insert_keyed_meta( # map Sex -> 0/1 - axis=0, - key_meta_name='Sex', - inserted_meta_name='Group', - values_dict={'M': 1, 'F': 0} - ) - .apply(lambda x: x - x.mean(), axis=0) # center features - .apply(lambda x: x / x.std(), axis=0) # scale features -) -``` -### Display the grouping counts +[return to top](#toptoc) ```python -print(clean_data.index.to_frame()['Sex'].value_counts()) -print(clean_data.index.to_frame()['Group'].value_counts()) -``` - -*Output* -``` python -#> F 85 -#> M 85 -#> Name: Sex, dtype: int64 -#> 1 85 -#> 0 85 -#> Name: Group, dtype: int64 -#> +# The arguments are `axis` 0 for row metadata, 1 for column metadata, `name` the name of the new index, +#`key_meta_name` the nameo of the axis used to match the keys. `values_dict` the dictionary containing the new data +new_meta_adat = adat.insert_keyed_meta(0,'GroupData', 'SampleId', metadata_dictionary) +# this will produce a new Adat file with group data in the right most column of the index +new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'GroupData']] ``` -### Split the adat based on `Group` and perform t-test across all aptamers - - -```python -tt_g0 = clean_data.pick_on_meta(axis=0, name='Group', values=[0]) -tt_g1 = clean_data.pick_on_meta(axis=0, name='Group', values=[1]) -tt_res = ttest_ind(tt_g0, tt_g1) -t_tests = list(zip(clean_data.columns.get_level_values('TargetFullName'), tt_res.pvalue)) -``` -### Sort the results and display the 12 aptamers with the most significant p-values +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PlateIdSampleIdGroupData
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
+
-*Output* -``` python -#> ['Prostate-specific antigen', -#> 'Pregnancy zone protein', -#> 'Kunitz-type protease inhibitor 3', -#> 'Follicle stimulating hormone', -#> 'Ectonucleotide pyrophosphatase/phosphodiesterase family member 2', -#> 'Beta-defensin 104', -#> 'Luteinizing hormone', -#> 'Cysteine-rich secretory protein 2', -#> 'Human Chorionic Gonadotropin', -#> 'Serum amyloid P-component', -#> 'SLIT and NTRK-like protein 4', -#> 'Neurotrimin'] -``` +#### Replace Metadata with Unlabeled Metadata +You might do this if you know your metadata and `Adat` are ordered the same way but you are not using a shared key. -### Plot the `Group` log(RFU) for each aptamer +[return to top](#toptoc) ```python -tt_df= ( - filtered_transformed_data - .pick_meta(axis=1, names=['TargetFullName']) - .pick_on_meta(axis=1, name='TargetFullName', values=tt_top_12_analytes)[tt_top_12_analytes] - .reset_index() -) - -tt_melted_df = pd.melt(tt_df, value_vars=tt_top_12_analytes, id_vars='Sex', value_name='log10(RFU)') +new_meta_adat = adat.replace_meta(0,'SampleName', metadata_list) +# this will produce a new Adat file with group data in the right most column of the index +new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'SampleName']] -tt_p = sns.catplot( - x='Sex', - y='log10(RFU)', - col='TargetFullName', - data=tt_melted_df, - kind='box', - col_wrap=3, - sharey=False -) -tt_p.set_titles(row_template='{row_name}', col_template='{col_name}') -plt.show() ``` -![svg](README_files/README_51_0.svg) -## Logistic Regression (Predict Sex) - - -```python -# Import the libraries that we need for this analysis -from sklearn.model_selection import train_test_split -from sklearn import metrics -from scipy.stats import pearsonr -import statsmodels.api as sm -from IPython.display import HTML -``` +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PlateIdSampleIdSampleName
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
+
+ + + +### Replace Metadata with Keyed Metadata + +You might need to replace metadata based on another document using key-value pairs. + +[return to top](#toptoc) + + +```python +#Here we replace the values in `SampleName` with the values from `metadata_dictionary` +new_meta_adat = adat.replace_keyed_meta(0,'SampleName', metadata_dictionary, 'SampleId') +# this will produce a new Adat file with group data in the right most column of the index +new_meta_adat.index.to_frame(index=False).loc[0:6, ['PlateId', 'SampleId', 'SampleName']] +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
PlateIdSampleIdSampleName
0Example Adat Set0011A
1Example Adat Set0012B
2Example Adat Set0013X
3Example Adat Set0014Y
4Example Adat Set0015A
5Example Adat Set0016B
6Example Adat Set0017X
+
+ + + +### Math +You may perform mathematical transformations on the feature data via apply or calling those functions and passing the entire dataframe. + + +```python +import numpy as np +# Using the `adat` loaded from above +log10_adat = adat.apply(np.log10) # equivalent to `np.log10(adat)` +rounded_adat = adat.apply(round, args=[5,]) # equivalent to `round(adat, 5)` +sqrt_adat = adat.apply(np.sqrt) # equivlane to `np.sqrt(adat)` +``` + + + +### Subsetting/Slicing the Dataframe + +You may extract certain subgroups of samples and/or features. Canopy augments the pandas dataframe with a number of helper functions to aid the user. + +[return to top](#toptoc) + + +```python +# Extract rows of only calibrator-type samples +calibrator_adat = adat.pick_on_meta(axis=0, name='SampleType', values=['Calibrator']) + +# Exclude calibrator-type samples +non_calibrator_adat = adat.exclude_on_meta(axis=0, name='SampleType', values=['Calibrator']) + +# Extract columns containing features that start with 'MMP' +target_names = adat.columns.get_level_values('Target') +mmp_names = [target for target in target_names if target.startswith('MMP')] +mmp_adat = adat.pick_on_meta(axis=1, name='Target', values=mmp_names) +mmp_adat +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SeqId15419-152579-172788-552789-262838-534160-494496-604924-324925-545002-765268-496425-878479-49172-699719-145
SeqIdVersion351211212133333
SomaIdSL012374SL000527SL000524SL000525SL003332SL000124SL000522SL000521SL000523SL002646SL003331SL007616SL000645SL000526SL003331
TargetFullNameMatrix metalloproteinase-20Matrix metalloproteinase-9Stromelysin-1MatrilysinMatrix metalloproteinase-1772 kDa type IV collagenaseMacrophage metalloelastaseInterstitial collagenaseCollagenase 3Matrix metalloproteinase-14Matrix metalloproteinase-16Matrix metalloproteinase-19Stromelysin-2Neutrophil collagenaseMatrix metalloproteinase-16
TargetMMP20MMP-9MMP-3MMP-7MMP-17MMP-2MMP-12MMP-1MMP-13MMP-14MMP-16MMP19MMP-10MMP-8MMP-16
UniProtO60882P14780P08254P09237Q9ULZ9P08253P39900P03956P45452P50281P51512Q99542P09238P22894P51512
EntrezGeneID931343184314431643264313432143124322432343254327431943174325
EntrezGeneSymbolMMP20MMP9MMP3MMP7MMP17MMP2MMP12MMP1MMP13MMP14MMP16MMP19MMP10MMP8MMP16
OrganismHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHumanHuman
UnitsRFURFURFURFURFURFURFURFURFURFURFURFURFURFURFU
TypeProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein
Dilution200.50.520200.520202020200.5202020
PlateScale_Reference937.519472.3117.22392.91520.614888.51014.97611.5376.6632.1565.85063.41534.01088.51166.8
CalReference937.519472.3117.22392.91520.614888.51014.97611.5376.6632.1565.85063.41534.01088.51166.8
Cal_Example_Adat_Set0011.069472961.019572220.984047020.901314551.137832980.989611030.961808190.911622390.986897271.024971620.979062120.978434780.950610400.947098231.02243253
ColCheckPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASSPASS
CalQcRatio_Example_Adat_Set001_1702551.1321.0020.8931.1300.9550.9871.0141.0541.0230.9871.0241.0051.0231.0291.003
QcReference_170255793.410420.6124.29482.51252.016044.71115.313192.8394.4492.1559.26162.71946.6845.51171.0
Cal_Example_Adat_Set0021.023806921.001177411.312430010.678125091.093170380.984995340.959534840.951544550.905941781.081437130.981439720.988211870.927000241.039835691.02055454
CalQcRatio_Example_Adat_Set002_1702551.1921.0090.8211.1231.0831.0281.0061.0250.9910.9491.0020.9901.0101.0390.951
PlateIdPlateRunDateScannerIDPlatePositionSlideIdSubarraySampleIdSampleTypePercentDilutionSampleMatrixBarcodeBarcode2dSampleNameSampleNotesAliquotingNotesSampleDescriptionAssayNotesTimePointExtIdentifierSsfExtIdSampleGroupSiteIdTubeUniqueIDCLIHybControlNormScaleRowCheckNormScale_20NormScale_0_005NormScale_0_5ANMLFractionUsed_20ANMLFractionUsed_0_005ANMLFractionUsed_0_5AgeSex
Example Adat Set0012020-06-18SG15214400H925849580001231Sample20Plasma-PPT0.98185998PASS1.036935800.857016240.777174910.9140.8690.90376F729.916230.2177.911903.31378.111997.22455.920988.1442.5414.2712.58965.52030.62181.51096.4
H825849580000472Sample20Plasma-PPT0.96671829PASS0.960225050.848584200.852019530.9370.9560.97355F873.317253.4152.816508.81652.014574.61595.011498.5501.1505.9629.98669.71301.61571.21149.0
H725849580001083Sample20Plasma-PPT1.00193072PASS0.984116171.032701560.915191530.9070.9190.91547M993.013094.1127.57577.01711.714468.7503.314697.72883.2445.8510.66728.91067.31528.91027.8
H625849580000344Sample20Plasma-PPT0.94017961PASS1.078398780.946268410.912467310.9340.9190.91237M906.520991.4155.08673.71667.59913.1438.420819.0375.2644.8547.88629.01162.41173.71091.6
H525849580000945Sample20Plasma-PPT0.94621098PASS0.846794460.929045530.774130560.7070.8940.70871F747.08070.4124.020423.71426.611345.01954.516168.9356.9446.4541.78125.21667.01048.61132.6
...................................................................................................................................................
Example Adat Set0022020-07-20SG15214400A22584958001083188Sample20Plasma-PPT0.96699908PASS0.959932751.089101380.994919790.5660.9120.71938F714.719877.3114.515151.9894.717266.2682.827419.4480.3705.1527.96638.23919.71787.51191.1
A122584958001042189Sample20Plasma-PPT0.91482584PASS1.218801291.010226970.992443740.9180.9190.92640F865.825801.4123.615711.61308.416598.31369.215153.5474.2655.0592.28953.92494.92156.21391.5
A112584958001085190Sample20Plasma-PPT0.88282283PASS1.366991421.162714271.196735870.9270.9810.96443M869.713728.5140.911437.31353.517996.21344.210575.3433.7439.8530.76193.92067.62466.61114.8
A102584958001055191Sample20Plasma-PPT0.95792282PASS1.305903740.983951660.974601190.8350.9630.94455M529.213298.2161.714210.81026.014549.01466.19683.8291.6435.8676.19584.81799.51347.81194.2
A12584958001105192Sample20Plasma-PPT0.97384118PASS1.307106460.932301231.008043410.7930.9630.93356F1934.47567.8133.013614.31220.216223.81110.97737.4364.23407.0645.27867.11720.91888.21293.8
+

192 rows × 15 columns

+
+ + + + + +### Lifting ADAT data between assay versions. + +Adat data can be lifted from one SomaScan Assay version's RFU space to another SomaScan Assay version's RFU space. This is achieved by scaling SOMAmer reagent measurement columns using scale factors available at [menu.somalogic.com](https://menu.somalogic.com/) and built in to this tool in the `Adat.lift()` method. + +The example Adat exists in SomaScan Version V4.0 assay space (also called 5K in some literature). In this example we will lift to SomaScan V5.0 (11K) assay space. It is important to know that only SOMAmer reagent measurements in both assay versions can be lifted. When lifting from a smaller to a larger plex (as demonstrated) the resulting `Adat` will remain in the smaller plex size. When lifting from a larger to smaller plex size reagents that don't exist in the small plex size will be scaled by 1.0. The end user might choose to redact the lifted `Adat` to the smaller plex to better merge data. + +The tool will raise in error if the end user attempts to lift an `Adat` object to its current version or an unsupported assay version. + + +#### Assay version mapping: + +SomaScan data can be referred to by the assay version i.e. 'V5.0' or by the plex size i.e. '11K'. The tool can use either 'V5.0' or '11K' interchangeably in it's input. The mapping between these terms is shown in the table below: + + + + + + + + + + + + + + + + + + + + + + +
SomaScan Assay VersionSomaScan PlexSomaScan Menu Size
V45K5284
V4.17K7596
V5.011K11083
+ + +[return to top](#toptoc) + + + +```python +lifted_adat = adat.lift('V5.0') +``` + + +```python +lifted_adat +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
SeqId10000-2810001-710003-1510006-2510008-4310011-6510012-510013-3410014-3110015-119...9981-189983-979984-129986-149989-129993-119994-2179995-69997-129999-1
SeqIdVersion3333333333...3333333333
SomaIdSL019233SL002564SL019245SL019228SL019234SL019246SL014669SL025418SL007803SL014924...SL018293SL019202SL019205SL005356SL019194SL019212SL019217SL013164SL019215SL019231
TargetFullNameBeta-crystallin B2RAF proto-oncogene serine/threonine-protein kinaseZinc finger protein 41ETS domain-containing protein Elk-1Guanylyl cyclase-activating protein 1Inositol polyphosphate 5-phosphatase OCRL-1SAM pointed domain-containing Ets transcription factorFc_MOUSEZinc finger protein SNAI2Voltage-gated potassium channel subunit beta-2...Protein FAM234BInactive serine protease 35Protein YIPF6Neuropeptide WLeucine-rich repeat-containing protein 24Zinc finger protein 264Potassium-transporting ATPase subunit betaDeoxyuridine 5'-triphosphate nucleotidohydrolase, mitochondrialUBX domain-containing protein 4Interferon regulatory factor 6
TargetCRBB2c-RafZNF41ELK1GUC1AOCRLSPDEFFc_MOUSESLUGKCAB2...K1467PRS35YIPF6Neuropeptide WLRC24ZN264ATP4BDUTUBXN4IRF6
UniProtP43320P04049P51814P19419P43080Q01968O95238Q99LC4O43623Q13303...A2RU67Q8N3Z0Q96EC8Q8N729Q50LG9O43296P51164P33316Q92575O14896
EntrezGeneID1415589475922002297849522580365918514...5761316768128645128386944138194224961854231903664
EntrezGeneSymbolCRYBB2RAF1ZNF41ELK1GUCA1AOCRLSPDEFSNAI2KCNAB2...KIAA1467PRSS35YIPF6NPWLRRC24ZNF264ATP4BDUTUBXN4IRF6
OrganismHumanHumanHumanHumanHumanHumanHumanMouseHumanHuman...HumanHumanHumanHumanHumanHumanHumanHumanHumanHuman
UnitsRFURFURFURFURFURFURFURFURFURFU...RFURFURFURFURFURFURFURFURFURFU
TypeProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein...ProteinProteinProteinProteinProteinProteinProteinProteinProteinProtein
Dilution20200.520202020202020...20202020202020202020
PlateScale_Reference687.4227.8126.9634.2585.02807.11623.3499.6857.2443.3...643.9430.0627.53644.5449.4953.31971.11275.64426.9851.9
CalReference687.4227.8126.9634.2585.02807.11623.3499.6857.2443.3...643.9430.0627.53644.5449.4953.31971.11275.64426.9851.9
Cal_Example_Adat_Set0011.012520251.016057090.950561800.996073500.940514471.053834891.172904621.070953911.034640921.07466667...0.980359321.048780491.035136920.963414311.014446951.045514370.982994220.974261060.968962720.96042841
ColCheckPASSPASSPASSPASSPASSPASSPASSPASSPASSPASS...PASSPASSPASSPASSPASSPASSPASSPASSPASSPASS
CalQcRatio_Example_Adat_Set001_1702551.0080.9701.0461.0421.0360.9751.0100.9530.9780.975...0.9820.9491.0030.9381.0170.9981.0710.9850.9600.974
QcReference_170255505.4223.9119.6667.2587.52617.61340.6443.01289.4441.5...700.7393.2612.63089.2455.1885.61389.7950.95560.71033.6
Cal_Example_Adat_Set0021.014762331.036868461.152588560.935812310.962012831.031339551.212503731.181925720.989267171.13173347...0.960757981.152506031.120135671.082964370.993149171.082680301.027845860.973517520.948289530.92900763
CalQcRatio_Example_Adat_Set002_1702551.0671.0070.9811.0260.9981.0131.0780.9960.9710.941...0.9820.9930.9900.9290.9780.9611.0220.9701.0270.997
PlateIdPlateRunDateScannerIDPlatePositionSlideIdSubarraySampleIdSampleTypePercentDilutionSampleMatrixBarcodeBarcode2dSampleNameSampleNotesAliquotingNotesSampleDescriptionAssayNotesTimePointExtIdentifierSsfExtIdSampleGroupSiteIdTubeUniqueIDCLIHybControlNormScaleRowCheckNormScale_20NormScale_0_005NormScale_0_5ANMLFractionUsed_20ANMLFractionUsed_0_005ANMLFractionUsed_0_5AgeSex
Example Adat Set0012020-06-18SG15214400H925849580001231Sample20Plasma-PPT0.98185998PASS1.036935800.857016240.777174910.9140.8690.90376F386.0309.597.6449.1396.64965.91106.7274.9786.3567.2...551.9352.5408.43027.5538.8686.35202.42188.412697.7966.5
H825849580000472Sample20Plasma-PPT0.96671829PASS0.960225050.848584200.852019530.9370.9560.97355F384.3292.999.1418.6382.62149.61307.8324.1779.4371.8...689.3358.2456.05724.5470.3663.01195.92302.713247.8824.2
H725849580001083Sample20Plasma-PPT1.00193072PASS0.984116171.032701560.915191530.9070.9190.91547M336.6299.02948.3420.1299.32306.61290.9348.6845.0416.8...547.0382.0503.93380.7405.3647.61552.41183.211072.11145.8
H625849580000344Sample20Plasma-PPT0.94017961PASS1.078398780.946268410.912467310.9340.9190.91237M358.5247.4109.9420.0331.72261.41184.1362.04348.0374.6...561.9384.4477.71361.8493.0643.51005.31399.49082.4804.6
H525849580000945Sample20Plasma-PPT0.94621098PASS0.846794460.929045530.774130560.7070.8940.70871F377.2709.393.3589.3313.11949.4990.0272.8787.7723.8...480.0343.0742.34846.0487.7701.41132.49852.938461.12865.9
.....................................................................................................................................................................
Example Adat Set0022020-07-20SG15214400A22584958001083188Sample20Plasma-PPT0.96699908PASS0.959932751.089101380.994919790.5660.9120.71938F393.3954.0124.2719.81284.41312.0750.7312.1727.7829.2...454.3301.8531.01658.5541.8861.51352.311604.645580.63687.1
A122584958001042189Sample20Plasma-PPT0.91482584PASS1.218801291.010226970.992443740.9180.9190.92640F337.4281.682.5625.526153.51856.41004.8297.4734.0388.3...636.7292.7410.79236.8487.6629.31910.91855.09778.61004.4
A112584958001085190Sample20Plasma-PPT0.88282283PASS1.366991421.162714271.196735870.9270.9810.96443M372.9270.8204.2472.6446.11733.81067.7354.3745.7410.7...566.0364.5448.22597.7515.6621.41113.31302.78766.2770.8
A102584958001055191Sample20Plasma-PPT0.95792282PASS1.305903740.983951660.974601190.8350.9630.94455M320.4319.1105.9527.1370.81701.9756.9266.4618.4453.9...536.3309.1434.05167.2522.8588.2891.12466.615455.91190.4
A12584958001105192Sample20Plasma-PPT0.97384118PASS1.307106460.932301231.008043410.7930.9630.93356F370.3288.1187.2469.9438.51777.9787.3249.4930.8423.7...601.9285.9467.02564.2590.0673.21036.72142.17950.7722.8
+

192 rows × 5284 columns

+
+ + + + +```python +# because some common documentation refers to plex size intead of assay version the tool also supports lifing by naming plex size. +lifted_adat = adat.lift('11K') +``` + + +```python +# Observing the Lin's CCC of the lifting scale factors. +from canopy.data import getSomaScanLiftCCC + +# the method returns a pandas dataframe containing the available lift Lins's CCC values: +ccc = getSomaScanLiftCCC() + +ccc +``` + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Serum Lin's CCC v5.0 11K to v4.1 7KPlasma Lin's CCC v5.0 11K to v4.1 7KSerum Lin's CCC v5.0 11K to v4.0 5KPlasma Lin's CCC v5.0 11K to v4.0 5KSerum Lin's CCC v4.1 7K to v4.0 5KPlasma Lin's CCC v4.1 7K to v4.0 5K
10000-280.9770.9820.9700.9660.9670.963
10001-70.8570.9610.8190.8600.8750.875
10003-150.7590.7870.7610.6740.7740.668
10006-250.9370.9270.9030.8640.9370.877
10008-430.9510.9390.9150.8790.9250.908
.....................
9993-110.8230.8550.7040.7530.7140.711
9994-2170.4920.9640.5020.7670.8090.778
9995-60.9750.9760.9650.9160.9830.922
9997-120.8770.9550.8570.8920.9260.885
9999-10.9090.9620.8700.8830.9440.898
+

11083 rows × 6 columns

+
+ + + +### Lin's CCC Between Lifted and Assay Space Native Data +The tool allows you to display Lin's concordance correlation coefficient ([Lin 1989](https://pubmed.ncbi.nlm.nih.gov/2720055/)) derived during the calculation of the lifting scale factors. This metric allows you to see how well lifted data is expected to correlate with date collected originally in the target assay data signal space. A Lin's CCC close to 1.0 indicates strong correlation indicating the signal would be highly concordant with the lifted value if the sample data were collected in the target assay version space. + + + +```python +# your exact transformation's Lin's CCC can be selected by filtering the column that contains your matrix and versions +# Lin's CCC are symetrical v5.0 -> v4.0 == v4.0 -> v5.0. +ccc["Plasma Lin's CCC v5.0 11K to v4.0 5K"] +``` + + + + + 10000-28 0.966 + 10001-7 0.860 + 10003-15 0.674 + 10006-25 0.864 + 10008-43 0.879 + ... + 9993-11 0.753 + 9994-217 0.767 + 9995-6 0.916 + 9997-12 0.892 + 9999-1 0.883 + Name: Plasma Lin's CCC v5.0 11K to v4.0 5K, Length: 11083, dtype: float64 + + + + + +### Writing an `ADAT` file + + +In order to store or share analysis the user may need to write out an ADAT file. This utility supports writing to the file system. + + +[return to top](#toptoc) + + +```python +adat.to_adat('/tmp/out_file.adat') +``` + + + +# Typical Analyses +Although it is beyond the scope of the `Canopy` package, below are 3 +sample analyses that typical users/clients would perform on SomaLogic data. +They are not intended to be a definitive guide in statistical +analysis and existing packages do exist in the `Python` universe that perform parts +or extensions of these techniques. Many variations of the workflows below +exist, however the framework highlights how one could perform standard +preliminary analyses on SomaLogic data for: + - Two-group differential expression (t-test) + - Binary classification (logistic regression) + - Linear regression + +[return to top](#toptoc) + +## Compare Groups (M/F) via t-test + + +```python +from canopy.data.example_data import example_data # Example ADAT included with Canopy +from scipy.stats import ttest_ind +from collections import Counter +import matplotlib.pyplot as plt +import seaborn as sns +import pandas as pd +import numpy as np +from io import StringIO +``` + +### Display the shape of the adat (rows, columns) + + +```python +example_data.shape +``` + + + + + (192, 5284) + + + +### Describe the sample types within the adat and display their counts + + +```python +Counter(example_data.index.get_level_values('SampleType')) +``` + + + + + Counter({'Sample': 170, 'Calibrator': 10, 'Buffer': 6, 'QC': 6}) + + + +### Prepare the adat for analysis + + +```python +filtered_transformed_data = ( + example_data + .exclude_on_meta(axis=0, name='Sex', values=['']) # rm NAs if present + .pick_on_meta(axis=0, name='SampleType', values=['Sample']) # rm control samples + .apply(np.log10) # log10-transform +) + +clean_data = ( + filtered_transformed_data + .insert_keyed_meta( # map Sex -> 0/1 + axis=0, + key_meta_name='Sex', + inserted_meta_name='Group', + values_dict={'M': 1, 'F': 0} + ) + .apply(lambda x: x - x.mean(), axis=0) # center features + .apply(lambda x: x / x.std(), axis=0) # scale features +) +``` + +### Display the grouping counts + + +```python +print(clean_data.index.to_frame()['Sex'].value_counts()) +print(clean_data.index.to_frame()['Group'].value_counts()) +``` + + Sex + F 85 + M 85 + Name: count, dtype: int64 + Group + 0 85 + 1 85 + Name: count, dtype: int64 + + +### Split the adat based on `Group` and perform t-test across all aptamers + + +```python +tt_g0 = clean_data.pick_on_meta(axis=0, name='Group', values=[0]) +tt_g1 = clean_data.pick_on_meta(axis=0, name='Group', values=[1]) + +tt_res = ttest_ind(tt_g0, tt_g1) +t_tests = list(zip(clean_data.columns.get_level_values('TargetFullName'), tt_res.pvalue)) +``` + +### Sort the results and display the 12 aptamers with the most significant p-values + + +```python +t_tests_sorted = sorted(t_tests, key=lambda x: x[1]) +tt_top_12_analytes = [name for name, p_value in t_tests_sorted[:12]] +tt_top_12_analytes +``` + + + + + ['Prostate-specific antigen', + 'Pregnancy zone protein', + 'Kunitz-type protease inhibitor 3', + 'Follicle stimulating hormone', + 'Ectonucleotide pyrophosphatase/phosphodiesterase family member 2', + 'Beta-defensin 104', + 'Luteinizing hormone', + 'Cysteine-rich secretory protein 2', + 'Human Chorionic Gonadotropin', + 'Serum amyloid P-component', + 'SLIT and NTRK-like protein 4', + 'Neurotrimin'] + + + +### Plot the `Group` log(RFU) for each aptamer + + +```python +tt_df= ( + filtered_transformed_data + .pick_meta(axis=1, names=['TargetFullName']) + .pick_on_meta(axis=1, name='TargetFullName', values=tt_top_12_analytes)[tt_top_12_analytes] + .reset_index() +) + +tt_melted_df = pd.melt(tt_df, value_vars=tt_top_12_analytes, id_vars='Sex', value_name='log10(RFU)') + +tt_p = sns.catplot( + x='Sex', + y='log10(RFU)', + col='TargetFullName', + data=tt_melted_df, + kind='box', + col_wrap=3, + sharey=False +) +tt_p.set_titles(row_template='{row_name}', col_template='{col_name}') +plt.show() +``` + + + +![png](output_71_0.png) + + + +## Logistic Regression (Predict Sex) + + +```python +# Import the libraries that we need for this analysis +from sklearn.model_selection import train_test_split +from sklearn import metrics +from scipy.stats import pearsonr +import statsmodels.api as sm +from IPython.display import HTML +``` + +### Prepare the data for LogisticRegression ```python @@ -2234,7 +6338,6 @@ HTML(logr_df_sorted.head(20).to_html()) # Need to use HTML here to display nicel -*Output* @@ -2478,7 +6581,6 @@ logr_res.summary() -*Output*
@@ -2491,19 +6593,19 @@ logr_res.summary() - + - + - + - + @@ -2563,7 +6665,6 @@ HTML(logr_perf_df.to_html()) -*Output*
Generalized Linear Model Regression Results
Model Family: Binomial Df Model: 5
Link Function: logit Scale: 1.0000Link Function: Logit Scale: 1.0000
Method: IRLS Log-Likelihood: -8.4167
Date: Fri, 25 Sep 2020 Deviance: 16.833Date: Fri, 01 Mar 2024 Deviance: 16.833
Time: 15:33:26 Pearson chi2: 17.8Time: 13:19:34 Pearson chi2: 17.8
No. Iterations: 10 No. Iterations: 10 Pseudo R-squ. (CS): 0.7186
Covariance Type: nonrobust
@@ -2602,7 +6703,9 @@ plt.show() ``` -![svg](README_files/README_64_0.svg) + +![png](output_84_0.png) + ## Linear Regression (Predict Age) @@ -2656,7 +6759,6 @@ HTML(linr_sorted_res_df.head(20).to_html()) -*Output*
@@ -2899,7 +7001,6 @@ mod.summary() -*Output*
@@ -2912,10 +7013,10 @@ mod.summary() - + - + @@ -2975,7 +7076,7 @@ mod.summary() -
OLS Regression Results
Method: Least Squares F-statistic: 17.05
Date: Fri, 25 Sep 2020 Prob (F-statistic): 2.29e-17Date: Fri, 01 Mar 2024 Prob (F-statistic): 2.29e-17
Time: 15:34:06 Log-Likelihood: -522.29Time: 13:20:02 Log-Likelihood: -522.29
No. Observations: 145 AIC: 1063.
Kurtosis: 3.008 Cond. No. 4.53


Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. +

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified. @@ -3028,7 +7129,6 @@ HTML(linr_metrics_df.to_html()) -*Output* @@ -3079,7 +7179,9 @@ plt.show() ``` -![svg](README_files/README_78_0.svg) + +![png](output_98_0.png) + ### Closing Remarks @@ -3099,3 +7201,11 @@ plt.show() - [https://tldrlegal.com/license/mit-license/](https://tldrlegal.com/license/mit-license) ----- + + +[return to top](#toptoc) + + +```python + +``` diff --git a/README_files/output_71_0.png b/README_files/output_71_0.png new file mode 100644 index 0000000000000000000000000000000000000000..172dbc14c5c7bff6f970a7816895b37a557ac19d GIT binary patch literal 128411 zcmce91z447yY;qP#spD7M+`v0AOtB31tg?FVi2WEy1_9R1q4worGc60 zVa_9*2lj2(x3V&~6yV}A`Qr_oW)^x}Jc%i>xX23gGpd#p3Y|9j--0NSNCV0O3Pt?n zF$KH8?s`Y{dzWTr`$t0${q)XGLaZh9%J&ufdafxcseRaJu*}w)BUx&^(&3|*nt+Po zzRfA@jW*(i$$8JaJ7ann^>rWnsWDrWS@4`aX2VoB#lE~n-+Xqaz3thC?V$(w+^Yur zAGkM+I@gannQlwhYp|@Zx^!@L-cPtG+Dl(nSeJhOFQSs7+v$G%#f|=_cZ+^}{dLLW zf%*5?Ew~~$|F!1-{o6y&sl70MSd(JZmT21l{q4#%Yy7;uy*KYu3Dpa6R`S(VWY*j7^1wjYkK(s$tG-X>tt{M+~M-#c@+Qx3ekwqgUf!;rqWHHXqOpOBCcO^1%B z4vxW=uC|rCW#hbBhaRTxmTFn$72;x(z-661vX)s;<@D`scZziHmiHz2=@i^HXnuF6 z6HoI@Dfak@6FiqbZ1lT#kNb<|lW~0$n+2ls2P~S;?AORp;PjWQuC5Lcw0~ZcY!KGm z+$>=t6C%7{OG|4*jIrj_^mI#aZ?7ij-o2#{59?XgnxsZc`g2l;uUxsJdrvuREt9|l zjfIrtBkBp~;}7c6U1Q^vS>NzW!BR?6_DGEpxwNKz%O;_|my3pN)Lm?q;vOfc zHjI>&P=}w!C$MN~H7>O;^7HpEypZ^=pdd*m3G*oC#rU)>*iqVF(;<3bV1V0x;No=S z>~zSX!-u=F*K%_W`7AShWtj58G?hb8P@PU>>h~LTEb+P1J!ZZ$wVB&@?K-8AX``s1 zaF5kslvdVZkpI`C~Z=9yu-nxC8yb~ii9IG|`!TDodojQ3Sc1}*4-qG%)5(!^* zPJd?Sp>x(9X={sIw^OXW?^_;ofn8gWEw}ks(ed%|j^~A(o538wCn7QT9U3;fo0&dqm@-MD|zePw--J=KH(mdb@%IVm6md@%k;$*wTh>b^imHG zJ*}~!UH(yeCBanJN&L7Y z;*qH@Yl>N;=4Ovm8+M=dQ5fHxwe$4t_7}CLcXM-d9fsN;fBbmXy0<}N)#iPDWAJq2v3&vr@PR~R46=+EC;-@B#QIZ$Z!*IyTUG4e>@S68lF`MJbpNOp+qVTFtWYmS zw~p>ptmn#~Lh<^viYqHLT0WAUgQJisU%BF{OTOn8 z+T9nXq>ltmW+t8XX7&x|h)+Ad+2gJAvzYi3Z8I*y%GM$FZ3tE~)04`EuH!BKT^*4j zBS#{ulk_r0%!GzYPY5_qBxgEXrt4M=1@FWj=4f|kf7J-y7--s+^& zmoHylxq7vNx%uzZ+*ucA3}wa4YL}V~*)KxQbFi};PEYW6h0IPxE~R7cE~eu(t!rjOuE zf}LI3jWt^%w5B_iC)&fjW2RLXm@ai2Bx~Rx7KyjDZQW(}gV-peBQIZyHqA`-@{M#? z>tMSS?A^bgC&Q}aLY;M$Mn1JZ(`(IEUIrnDp#%BeEM^Qhv;+Aq^M9{4&JXhzHf(Nb z*`nnF1ZlOO~XM9}^~f_TOK|7@ z{YAg4#pPo%VugBLrYE+H*4u_8+V*Pd%+5^bYt0PM>r};S;A;7wpGtc1n$$2TYuZ0e zv>(*f!Pw+iC~KLlW)}RCJxeYa8oFHv5i0-6qGg_=4UQ%44cVFfh((O}{g#%N{FEw9 zqoJ;<61(2)QO`xo)-t$aWqNgY8;@FkG3LeNG-dYY9By!(bw1(SU#%Cig*>Ut*tca( z5A}i%E?v#=)umWu>Kok+B%s7!UM z^lBLk_pev4dinaUx7{i(cIM1)cOE`8aGD;j%1<^Z^CZ*sB~d3I;rf@U;RIJ6)-8Cb z!`Px10*_pNePDGSgMd}kLFWmp(aQ+urs^)^E%}vk=Mgh(7!Z$mu=RvGw+cI@tz%&^ zGp>D6^d;9dx4%nkwx<0{V%X*GF9*p(k(*z*XiG0v2%V% zI8O{2gdxM_bGeR7HhFO69H8AgeeT$GGMQ=Woa7qmZNY~HtlEEhrk?)!OQvl?f9VOj zEys=>V=m#bYM0%)ckes9k!n4!>B&(9qy8J(i7K=isBd+uGS3_9O|c&9`tUfKkGC@l0UG z@<3k6|KP_#TXwm#)4g8KlOtQWvWI*>#VB$#U8NJo3>~=5EM$1*(0xt~Lvo`>9EPH_ z8F+H__$QrWmEsQJ4S*v0XAU`xQca$zCgp!gH4C|n`(ya_?OQ$&M2rv@MSowh=3y4c z?t?oI94NJ$ogR&?bBXULi*!_9WN6uQbkw$uEV46)$jWSbcV{QHGuicVA0 zn%2^m8`-eHBwKchc^>$A=T5J(NSVx%NUYHOudl9p$q0|X8EX@nHMr;Jr|3ANH;qMo z=*C(m!#c;_Y@QcOmN#Ev44l*rfAZwDO0G+`c8Z!85M_C`(2*lwreD<~G64gNVK;ew z{wz0|VcY0jMTRC&I+E;)6LKl^BOyzRDpYfv(mx@YjtjEiB~JYDg5%w6tl zw(7F(*`w^(jg`v?C=_c^i!iiCoNU7St`Taz(V0WS(?jy3{jQU>jSk(TWcO=iSfLI$ zfVb$4jg2wj9%4uMi-r74L}u%JE|Nf*O^p&|-x zmw*2GXU|g}o6}21eI+^j$6jw|V|$+l*u^;(xF9q=4cOwmS@xxqr%r7_7N=Ts`WN<% zj`ETF#3U_Vwrs0`fdREgWUBA#y3L!F*nD!azXUteJ7Z!!f!wod9AYzWNFKtntLq{u zee0`Nuc$2n@s`*XJi)Fr_M;X~PFV-FUtcq<4e7GYoecUEuW@wLdOUly;V|~srHvam zrqwzj<5IZ_)`YcoeMa*3l;li*^CinZslZZb?CaJ1w98E~al5cV8Guy^GRT@0Q&$gk zRP{ZmlfT-V_v$h_-rZ6G&55QT9~``q_pR?sZ@2qolA%M%K-qNhjfDx>BLP5IAw><@ zj=EcYUqj5^Jlew4NHV)vKC8^Dx1-v8$9&6hJfGpW|&e&1_{k(-(da4t49 z0m-<{>8Uo6(X=3T0f8EwZ8g}bhA-U~tV9G&*m~&VZ|v;s$!3kh*6pRo09Z?ZTeou~ z3roWFRrE?3yRzAPb7yl1rZBC~h{lG^z^7PadpIKrS5T82M@>ot>wL>TMehkknVMSaB{vGuu$Gw}wPb68?<y>ci7E+tiC z)r5ck{8=J3?CqO3X|v2f{S=Bk&m`oKTv?KYM@uoSSHo>tC3tvxDqyqK7tW3qh$yJ3 z#h|)znEHtD+uomq8_KMCVbY~Z#Rf(Z>(=@#zN*W0s)+^JM85WgNqw&EQLFY)`AF%G zmsdy`qjc`vo%oyy!%<-*r_Wd&>_VgIRV$+hdfRH$^SIKR*Pl9hQo-J{M!jvfbYK)R zjKoAgqyOEzVL&bZJkww9;mgLUR=$bBklF4W&R&eg6i4am4RR&V*9X!_1)hu_F#bU;Ir zLR+2dVA5c%xzy59g*R{BL;-a;v_8}mym2_X>tM0MX900sZ zcjc<$PHzhrzdIBuGA$k{9rPJ_#_!=n)egoZ0M{B8?{`sKzI;*fyMMnE)mKqxfMS{B zZG*Ci4j_OspB*QLJ{~SqSdnNdX`J^v?@vtHNdn> zULr}BWC_HbPp#ysQg70%LZ}7Qx8GJ!Rh25|T=7uEHOGcp7j4^Me|p*4ZKYTzMjCW# zoV%@;7=A;ZkrNZU;pFUGkz%BrV%jsV)mHa4`vp>M3~tB(xt$E{v&diviLR=IDxkab zmuO|$NUd2_9-YXud-pbyh0o$TmB{SWcPvQQxu(hMZMuY{WCap<&zHm#nA(9aHa5r0 zE%h?!R<86NYDzQ99ec|)1klUAXV2*p!9maG&!1bN1g-3x!Y}eTju_ViMf<%#s;HO@ z=c2dB>TfFO0*q5jGk^R#FYi){+NP~ryAIwC4VTzJMJXQbAqQklIt^DSGaj{h)>`x^62U#Cvdyt_ym-?1wP{fz)gL!EU&KCQKYUoeO4Bh8>qt>klY03h5NH&tSAydlZF)(_Wj2Ya z>Al4fFKcg~4mgKEJJ4Aihq%{S5$n%v-@J|#vtW6wmkp5Y_`-xQP6Zf^>;#GsX(1?^5yqeLZ1w!gvXmVOn;+u^~w9@Gt~6P zrR~wP2zEV3wV9zdmw3S2Y1DcXQ-dY-+3bS@16F`wwvSNEeCV)>0gX~2ePJ=>NN$E^ z0`^K2Vb?nA(vv1vb%d;3yS5S##VT(N- zWmrYOFs}X{9GD=`=rS4iy{X9>p}y2|N=QY6D)gTedvRPJBY}NrdbBaK%B(&^k+2eL)+mA_33$sB`=Xbh zkWna0Iv%?-%UM`F*K{6MlnN41L~!0pj7;ptkTA2g~po;{; zuVOM>xve`D>Ro52$!xs3x-7-6|3dxc0wzK_j`Y+Rl_3Puv>QVr|shI%QCgcX6Mn=YBEd?C9 zbSpl4M9o%I#Hey#y~||J%2lh%u!DE9u&_)wvCNjDQW&bUEHP*=eVp;_##Sq`Pzb04 zRv#{LoskCx1~MQkG-NWVL^zfp0#qDIz-rRLg3)AMAeF{FcSaHiEHWc`OaU~oudi=s zU70XAO8mZ2<+D532|ziM#aENah6nk@0YY-imMw;55ne7p;f_vS!cJr6*vMoBJAAuN zUmmN>H9grlTZv*l_GoWb(&zoRDQ+INDC#j@Qek3VpTTErT)+Ow)Ra@4db*sq(8z=1 z$B)yVJ|cqs&>=aXq{`Wu-q}vnBq>y$UC~NaeKk=<)~4Uz+{{3zf3xOc&Fd_2@vD)6QUymiA_WLha2tNQyCigShAkI>TC@cx>DKzkIXG~O7DRM>R z_wN_Tyn@mZFmn!Z8n~%x_ic$60u4!911*Ka2-d-);~1ME!u%<#U%pObZ&7lprCU5D zWuNV%BrU_$TMnI6id7`5vR`Nwg*aoQ0-hVW+o}q750stFO;or}CMq7&3u2gNXF6HdyvsF|L*+&rI?6v`VnYd5w*Y3u-HzrW7DMgm`mEz@{5Tez1M(7Q&VwnB=3__XO3p)ubl*AdPz?MFzc=)43M@bahT0 zzfczJb9(q1#C|J!*tFBPGGQ zjT{^8u&s1vNx zeAIwl!LkW4gFyfi_!Z3_{)M8FmmgPk5k?VVQ4Cmgb!>&9x=r<^eBe`0Y?{0SE`bM( zKip#zgG}%#$Jw!|zkr1gEU%6y)6q(2&ybm7K5%3_hW91|eqrFz%8L!KGX^BdmuZZz zvI>fgiaLO2654$|_I5Zsi(WzsA#^}MYcF2Bm;sTIhg|ANko4$GN;)TC8Ut8+^D3u~ zr~ZtDl|aFxVxmEK8gQsys6QD9TdSQ~>qY9PnCZwWJyeQ>5X`^iub~S@FTWjtfh-FL z3GokSbAxTvY&^elb5qQa_$#I@! zWO3@dk~uB2$C}48MvG&1)OA*`4!IDIVL9tL(%Y!jGp^7^D6eWjrJSxyHNeJ1nNBV(=#9c)dm8jBE+0ko9DQ*#uf!GM%BN_y$wYx3Y z+4k>OB>2^;<1>4KzsbrB+uryshjsNask;6PDf-7(=gE@n1AQvy^P2!t{@&cMC)r`R z)4^FfUX{YR_(Ubejozv6)iUG_MTkZqUZ0Q+QOXq92I8H{9UZOOl{Py1E0n z3+ukG$ELs2=N`!9rbFbJK&>&1gd7b>lhJhh=ts^K6iNcXz)aY)XZ!eriW%Ev7f_Pc zy<6l)kG&)&BiMf}XS{W5ib<^!xQt3DLIoZH3@a$5eTbvU;M|2k?jKrx0&`J?;H=ej z(WF61RyLGb$YC!l>q%4qM)x)(E})dk63Iq7NWcI@7m+8bTPQE>4_;jJhlKo9#|BdP z+$(wUUv%bUVJn*3iXQFpcx%z{FdB@VqK51AFu6ues#yY3a2GQAp#EX)*NdS5dl!Il z>{9U1W?*MyTNgG?p_JO0J1?b#_J5mLO%biT)2D_s3JeG>%v{ zaCeVPrAcai1fHwPzOgrFQW~|&IiN0r|#RO3hzXp&)sO5y0%@u+!d#UteA!L<~XDs9V^D zgftL>l4#!t?2~&+{lR2n80tB2!erzr(d68oiXr%!^kNZU=x+qStQbE|BU&Ir2T}a zMWj`Pnj=)XWbxuC3^H{X@tz2Sa`N)K#6gQ@=@tb%{UMx6N6PzdWMGH_%?2D}2n8!+ zlA3ubwbuIU%LPIsUvzGHdX|I6%5wa5{^}wn7caJBa5Es6mm^z` zHoc|Sy2qMgSRtY1)PJ4u&jg^*36F&m<=I?*+h$SBDG@h` zv3ks#+x;7(FQYgd;89_JUtFvNST$L6ja4;H2_*zk@;?+8^QIrCc&+=(C!B)2CF)Iw z75mRWzn<3pz7NCz3L8AbUG_z#5Bf8S-(~-r-Ye&n5r^C)P~NZIc4WJMVM}5|iv{7p zph|^*pm6I>QSnYu$vnqj$~R$HL)W|KJqCl1swJ~gA&_ZN!n0>**ShC5uUx<__Luki zy@eFh{WBxM9uUS?S=MB-Em06D|ZY-NNZ)QJw^gI@%O{T_L_p8<4v>D?|q?X~aLtDNg z_KAEKI$-EA_xAa4*pxTCh2oZ>z1kknL3?Gni89ZB&9&WU*^jSZu3Fwazf1ZSF8uqq z6K4v=EkE}6-(^9&paOYb+hcKL8<^9BnfquLa@&2A86(Qx(%igv$BtvDs6L@=PSGu5 z+{Mbech8=JZeq24>=~6bGH`!WKEef2;s;zqzY$YtYsNZVB_`7aUAo+fs6ShnAAkZudNGi|e%OP^9R{ zYVbwXLgo(4oKC*yr=8w{PaLV~r^yscNL)Cs+z!#!@9l+tyCG`*WY*+9tsHffdiNpM zf~J4yLAzAxciKkNH$d)u3WGyZVbr;kC$ACzlDEi=3Q#nmIjunQMI$%VKv1o22~t*3 zc>t*Vku$6s04s!4WTO^fWOCz(c0o!T@LQyc{_yc*dHbiZ6yWRO-p0nQEepwq{vv>Z z>U)k)+qHXlfJXij)l8eX>Rsg@fZ$=k;z}yiA3?m<=o(+VnNvLqBsp@exGy(+6meR) znq0Y4#4+S|W8VgHH8-)VSW;R0_U$|CLC?jT>8Vy&Qlcy&aVywqK>WJ9`y&nMxNFz1 zKh!wx(FaTzYg82v93yXR{0sp%cDfoao>QjU_7kr3An(GJAk303k=Xi zq1KF?S;?Kiz-NH|qfKC+hi!~$zxPoT%aLOKiTIKr#4OyxL2t&1cdbufI+!wUVy}-b3QxRzKaT=LQggl%9%Im~}s{pw} z>|{yObL%-l=N%(?O2k`6KGQ&OZxNDQ*$Pz}wm~mU>to2*z6!Fk+gUV_6~H6KO`!0@2Z7#^y1F`vE+E`6;Bs!+Q?z$* zyR257Hx&Ml%!OXNeL{c^_HFh648Po9gQ8Fwq!|&K07o!Sj>deePbBFU$@z0?G{Zke zup(A~>B|puk4~XPsfI0YPBp2GfDp;Hdv|MA53gCnGmK#eyb$G}eB)7V8-d9oL||qS zvG5@LWCKD>43)`jg1AFSV5}`e@#kuB_!Ch%|33YOv#XkI|Ac!~Yalqd74K@gj9&t| z0Ic&thb6N<{>hV{y{)lJkT$42dR5jPpWlWRwfJi_i0UCOePu$;EqCnLmFi2}M%voi z5w@GjG?qF&-29GiEAQD%+ujkC(U*(pqHKE`9H#mUIIj2mZrr*x7D6hivZ&UGg~|vk ztkG~<;WG#fKkCNC#`Y;P#3cp=K-#O~B^1ibtzf?3`P8@BQdILt#3K(=dKMpr)uM!I zXH;MPlcEO)PY|z% z!$@~D3Z!;8xs<><@W3gW5X=G~;k;_qD$CqngKh*sKVRP`dqSM#P|)l8%aaGz^~XK9 zS(^Ln=Y3y$uJ`bMp9C+&=<%^B+lFc|xEzoUWQ2zA5gl!~yILMn=*aRBV$|^S^J4=~ zxkoyXM)0K=RSmqxh)M;AglOIE%4T9_ZfG`y*IBgbmBy1b9!F1RC!AX{03_e0aX%be zS0Czi1#{koME&AG{(!@J(n88VfWga0X_Cp>m))aAd1C$m4#nR&&vEk!^YG1YGYY-O zA3vo0-=d2D0)zxy@$_6xYLC5p&%ohx%gakqT3R}8r0By3Ul=Np-L}3sL!qc0`2ku2 zt{^KHJ>ru&YSUecSZEEWqY+5EiGf0{lFUX--w^C-ozQVc<(^U~$?88!QSL=B)&b3Q zRwqTGD1QpIZpqT6hG6F_sPdYc@q}Ve(krP1x6=C75ZL?S55%Oe3(XcY@Dxan2&J{A z7(^n4K;(O+##Gf}5gi`>h7>Y}2`SZBfMk{@5>dwB-5{pq0cy%2T$QJqHL};bU}390 zzj)K8r$(`>De_0gQrHi`N=LE?Ui!O1fFv7LaXL?QL^{CD!s9Y!2LevnuO>*)UT(C} zHJ8LC_(-EG3uL6Fl`daSoV*Oj)5Ja&ikq%C5E^-LZ^+5XLHTlzbqyo;8Dz||*Vk7; z`1sk|hKQdSC}{J&n#$+S?GPsw91#tE`|UT0f>hf6Ut@;_#ceh}dh)1y!Aba4!f<(h zZmX8d%XBoqze|KjXd&5(KjRrz{wPk0L?Ma5X}EFo<_MI;L>0qw1n3B2Wdm?T9Vd^7 z28>gl>+0$~U7KRGN8GOxiD%-(oO50Du=!B?IiSjR@Bz=Ojc?t&`3XF%RpI{BGrrj1 z%}sd<78J^Zn{x}(P4}1gzPsA$gNf(2hj?dlFJM3TjTvsE4F>-6zqD?Dt)%(ve|dpu zhoJgMLoCTRB&4^0Pp5y8t~`Qo^(FF&Q9H?cEqy}h;+)A1R;|f}-EskB)g?*l->(@{ z8y-1tw*CW&q%eVY6k7%7kthez1Zp4Y%Dl$kU3- zT@R7kv>=G)stE)XE0R@NBs>H|Nfh~K9(WU1=fayjEpkC zKCo{G8_*nqbQI1H@M-|dJcI6U^y=3oiZ4__yD{5+UEpmEZ2=i!;P`cl>`{bAwJf{D z>PzJkE-pE8a&kjN1b{K8+rn_yzI`9N*Sl@zKzRfej(R|IqCfi!_)q-V4VW-^ot0v@ zf{bC>FJzfNIpwi&!v=YsS{OGVUX)}TC#o<$=cYs*77@waU3K-SpkUVfiq$VCVb4O5 zR;N9sid(sJ=ME~K-HJ;o`@Ox%Hg=1M{#O)`lRp9#38mxo^0jM)%^Xq7p#JkFk+iee zG_?yx4vYeG7t%dkOBYjXrD9f7h=>d@d2BaK*R`gZQlQuq6em$*0y%SltRngm=q3Ax z5%`<2&Z(#M_4S?afmbX2eq`HPkP@I&>X|--FrCQxqZkcs`DG6DVa{sOEhE7bDaDQe zCp*APxM{PO;@k(2Yq zdKdyMWdjQY{su;8c{#cD8!{HU(a&K*ey6eDBakA8yQ)wEBq&Y3f!@u_TbV5gSV>IZ z9-H@n1~Q7RD=Kg0Z}L^QNvp>T5=_ z9-{7Q=iMM32+Un%$qgfPq3E*n(#{&vam$6`DaNB|aNYH&;$o{qnXAdR6+J9QmThM^ zSR{gq3o_syhe_#Ew(y@}i`4)bAOoKLO?0)$IAG#GQK4FKJLlW3><1t@@-3hWF32=seN70bD;faqW z+X?dY8ioU+sDu0U`R008%Cn7A)V5Mt=PwwwM1IjYL}l+5M7c{BFX|(=DlQ!$UN)8D z4iE*^C8)#wr5!D!2GY#M}6|#p@j?#v_*gpFYgPb$$hHNPlCHsMAJvX1e!gp zsdcJkeIpxUHWCM!3;s;IvPh2&modCp8=$>G^<0ukqo?r4n38vVRh{6@ln{EewfV#O?%ms(-ESokx1rHmY zmZpNXpi&~{qS9bIF^*1#y#fMi%397T1rv}qGiI5YnBpEhV1Q+7FZgMcfw2QB@87=< z;J1u$Ob-t~35|;WveNv;?G8D=VygSn!%H(u-?##|J>Usb_$KHWbu^>_aL; zID*QRZ_a;i`NQZFm2jMLfI~(A7Jz9U4L*L49udi&R)vlCP(2?)gn^qAf`iqV?864FGIsmM$2tyIXj-MYDMPN`s z4@;-kS$MEUgF+P+4h|X{1@a(d2qbmQr%m(JX@gzU8sd1tkXN8tBPQLl?So;8LrdWN z?MK~;zB1*zOR_jqh>tJza|RqOTW*}YwW+f{Pq8# z>+Q!?{zql+4@8Aa*&Q=VT801DU+pBl>5;}lS&l3vlIA05XggUST|y>Kai96N7I7|# zO5x2>0@s*SNbW)QG%dcIS_SV%tyy;T_X`e8Rgo|tfFy5+!<}?*RJU*+#T6j#k${LG zdz%1SQ4i21XVa=hAyv+CLF9UFVpqg9{+PCZ;s^f=B#-O-PuR!*ovY8mv*D*Ob-sQ3 zR@eVicXL~tL{Sx-7N1)P?3-wF6^9v zE)-dl%$7o0t4}3xHi@o6vr~hpJ{mYS(mww#GOE53`;>9a^7e~1TSPq);k4ebmV5@G zyv-yP$$^-_011dc1cu3I!eg`*2a%lQA44lLUaFt%M8_-V83Ti8Dt1oxL}x5iwQ2iW zPW3cd#Cip!bmE%A#vv*VkrQL<{}MN2{O{a(j19SD$r3gcUkICE^P^u(L;Z>&L>mI9 zGF)an@WVKx+d}gh1K4_Zfd z0<;|{t(P*17-j@UmD&P4b{uf4c&D&%gAPC15Mk}9$*_){817Pzo`(8)+Pj5_c*Jm@ zqMf%C^@YOtHfV6*inBj5f&VLCGY1@i(~K~9YH<6bN@47_hxY*9#;Z&yv09&HWvLUk zN>%kC5-xmdaPCBs_DhK56)(gQzaimw#hyjky6wg@>?`Z%It6QCB36JqOo5b~8P-N7 zb!q21Iyy+{g#weKM<=xwrhw)|IP=Z`WS+l-k^8wD`3#sB0NbJcv3v55e5N!hjCMRY zy}In(!+`AmtN_`WC~ljtkP0wVnpmx&EjvDQ{CZ_sIr>vb51%0n3s0SK*W~d*Xyj#^ zPEQP{P!oY$4EM0JOQ7FR4h5ysGnL205eIFR=f=QbYY`IBeS%ILmu<8CeF4S%GA)_} zCI1thf-L68DitEELB<3uWH>>;1h3{eXKv=w>>i%L+!jO62Z&-5XXMuR0g8=))xq%7 zlT#Jc!S5bihFCKW@CyLZHpR)|?RVyuLMB)fCUn2ha3|G9uxez(Wl@BL#PUu%;cb`T3~_X=fxG48VPjGdnFdJm>`J0jW(E{j+2a zvEmJg@Y!2yZ(L1$Hhmfs}W;|$P8M!kevNu0h;uPN)`kU>)IaQmkdG9uH-goK3eqcdy6oJLuC zZ@=pE=B!#*hh?>hWsLC*NI$#&9qCmp9iUZ5*&j^sbSU+Raf^Jm_-E|*Xb_U%{?&l# z;u>kP0(sQX`;0~5@qqLnK75dy+f1=0s3BwEi@JW}2JvDMTBp8tju4FoSD9IbB&cCo z!~?V@nNnbtt`6;@-;OqL_>XMJS-NKMhj9>ep&^p~N&yr)rGvoU$4q&}K;?%?zk6X8hzHFNb-a!MMc@@kkvH*xQ z->A;tpSerKsLyQlty?S8)#KGt_H%Jn!4g*g&C#1#2<0f*@ie;>;g#B${O9>-w;N>9 z68rMow-D^k!X=@A<&DjbW(NUrIiNS^DPOOerJt-8#%B$UmB}Pu90MlF>l_ zxY?c=c$bVmhl`^oCsq-norCmqJiBlbP%|2pFbX}K5O6I%lPW+Y5^&d=A|mr6QGAHU zN9*~;_x7nUT{!G32@%m6Y%3Az6~+>^Z2kBNkHPuk4^Y@C6}I)nAEVLw+y6V)sqg&w z=;n>Pvw*)|4#l#JQf!K_(L8A%S{)_7-4(JAN~FDTVL-S+-(GeRZ0%KAuG#B1 zY#=V_!UFf=(fP*-RO~8u0^?4C9JWFfY0W3CZ-g;|O%hB$QMEF<;>%zI1ouI@yLc|v z&;L3%TMBgt3+QgMoN+NA_-Dy+&>D$%laQxfXxJoL7kVbOHLNQXht>AY|Du#)+@kUF z@^Up6Ow}EF1zL$reps|=QTF`vd|hH4P@aOWEVNPkRn{8w62Aj{4pC?_x$nTS_Q%EC zTAxT?nfi6fsu*=wIK4?b1RC}-Nz8`5Y$9sjN#v#*hWBAxm1It1?<*S`vi}L$Mb1I) zf_toI0?m4=A@1{4aj0rkl_<1*^ai8~)2;aNk)lbmk+5oD9jqriX4oD)GG)s34;g~S zH5G(Notl?h$s>s#R*V#N0h&;Z=i=n7gtwg>Dgj$%wC2i1ZmYfxPOnIkq!?bWV&^;w zF$2?8#2F?H#_A*IV`(I|XOIjZ;)n}?YTXz-2}u|&6DZW`EeiJ&e=V%i=eVvfczL}~ zRG|&GYfzI)|j=FDEh|Hv}2oQdcgQa-6y(ZlJfUsyEf-I{W8NGH@#YT83mn>UG4%wjSM|5s{=ZYyNn{nS}$rBZe zDD+QX=LWGa6rkN=skio&^XQ)Tj|TqLPr1)anW#iXgnA_?n&l4fevIv*|C9B~W)#BF zK$B5eGQQ!YLk>J&n-@82#ZBTrqb$b*SA|wLalV)+U@~44n_l-;DN?lIz-sRn*iDF7 zWps=@Xn_Apk*x$!l>TN;e;&ffiyNQRsTX49=jcb|2!ke0UT&VE4$c<>OORroeje-h z+=CG6X89j16Z6a`#VzD3C-2M2PQi;sILHHLf?c%MqZ4#O;b3#TZE*g_v)q-4N2M2W z;09rD0I_cU_8XBC2+UZ2_snvgCgb;0##WIIskrp^b>UX0MV;F*iyOjHXL@Y*pu z*5u8BbU|DNGiU>Y6K~=!dRb%9$1e*^=9io6dZL0nt{5lyJ8^Mw_%h1ST^kNw8qk2m zdVKS2`$~%2O>_+1gWVj-9n^|GiW34HQ0AZp`^ZU0QS-zSArvsgoJjO+tCN6A`_P+v zf=kh^&?q~Mxd>fx)5Aj^4$S9CNi9|a=nmp?&pXCIhY!G=gK~uxcqxfZd4At!BIO`y!F!3E)aW{!O(fzPq`wNIJGdZTX$St^>f&}k zQu<1kHUnuFDi}cP(YHh}+zOhSny#Bbwc_>lSD3j7r;oB`=RMnWb<%Z+ZrPg^3q%Xa zbHIOS93?<|FQt?MFAV(g#GQpkH+ztAb7mNuo0QTE)GvCpT`7&Qdx*6vx7S{%qXg%kc*Go{~A`0a(Y1fxjKkih91k8uhEA^F(Y zZm!T+@Y2JO>776Rx_x_S<+6AqN3v+qwn~acqSLL;D+Q1F7~cDi!4eU2qDoBN9+aw> zcuOvfp_w1(lhW@5w}5|}^DN!+_V&;Fw%v0Xg)7#2I|~?EB0XRS18qzCnc$M}xh9Z9 zWk{b1qzQGi>kHv}YKm;~j0g|k3v^AIj(B}iao$jEPs3h<))be6A-{0p36v9252Y?q zVN?XfTN~^=qDp8{a!N#oO%FQ^@k}Bv>LfRlS{BXD9Q^#M_xOL9a6l5Y6poHv%?6n%IhT{AUXtN!5gw2I3SCD3pwEbSmUi=GqF81NCz46 z9C|FHph0(G*E}2H?Eu&-3Kq)TA%pFLS3*o#c)TwW^T^R06S#-^pN2_<`uT4wM#UQg zU=x_L+m_KWKNEJIK)2PYfTOmienhVP7gOo%27G}24s5%6op-f8Hu-R@Z5Vr?fzQ+r zm@5vWk6m5L#>1nyXzA)wD40emX6P-ldb>$^FN`@gypV3l!4PDY)E@)}ZbM10UlhP2 z;4+nl)ft9^PheJiputE<-fKa829seg9Jy zLub>cX7&Z4m!isicyh;!%!Uw&jUbIWfXtyC^Frzu(oIF$r^p-b-MgpI)kI+F?%ny$ zTOEvzyY0>V98lj_qdbiT#3N9g^a_;-Pks!eCD%k1L1v(XXN3mXM2y=&ai9ny7H4AR z1*i2dY%ej)rix%@&{H3db@2`<1#CFhaBDG%MqK6sLCC}A?)`emsi4C%PK#oovIK^G z8sUrs%hh0*>J738E?%cNZ+bLc!OBd^4TMp05C}Q93O`c^r4d_BHYu@&qx+3`iU<%R z)^O6bgTXDTHwC68J&KOwk@VZ3(Otg3Pt~HKhq$5(Q7u$WjSp`9{b$^kLV;Ke z_qN=ea}=VPQR>-RirRhL8|n6LKo`4VYA(#fXhcjH?#IuubO`fD;4tDHaRDG6#2U|{ z_x4=wL`8xXA>@eH1qBt(1$Ydfi(N9}C$Z0*#>bVMcgJU;i>+V|YKQWhAK6BF2e9lM zi$juhNa#G6Ku57V7v%7+z2P0o5El1p5{U1u00Nayt$7U8;VGBqe?GRwnG(-A8t ziM7b_$(IT@lgRd=>933*n1afVAH^Ia%IrUN#xfzp1=@lXJLRB-_Toeg#oV>DN@5RJG3HT5k)N-c&G8FzYSX@nI$B|V!3u;70aJJ`_aBu6U|3Z&v72dKxdLM z78>o<8Lqi#96r)ch&`E6ItU+Wdl;fW5bqjca!J=6vB3XT(@|F-0h9Jp_Y|O0wG;+H zL`veg+CBdbc}K#RoTq`HDT$@hiN)-=dJ+)@_Lvv|K4OYNTlIbzyuezoN0t3emVewNsXWf$hv8m8PkOg<)tRwHE4!lAy6bN8f?=fLl^lwIZZ?`iNr(qbpEXW3Go;p~d#zJAhZKAbHi3oI)jm^z%&Ct6N9*w6}M0e zNv_HI7^9u&a(%bcyB+6T#ac{)U*gs;4Rv5!P3dGma^!(|(gL^z$jKN`azfV?&e`OT zdit|M0wiY>pbr{0c_jdp_lg7oy4iPfM|Xkjj7GJukckHTcLzK@I7!VW9KMAQScOhGbj889yoy4B%olvV$k(pes_$e?xGDTc|^ldhLAcd zN*enJEvW?F6I=s}Hvz361@X-Xr724$a|+hP^qJ{FEb(&65qU+AVm|bkhU|8r8AsK9 z_a(aaZ}z~pMYDeNiVeHluPkFuYhQ>FF132|clglk8~apk^v|Jp=lnVmnW3UC01Oi1 z;^#pAlA}1pKV#)Zz-(tY(EMJ&t}m3?WlWp&%%eY4E_*Y8zFYqOKP?A%2(MzWSLFN$ zEM9)XJu-LEqmL9$QW>H+5N8JLr+@1AtmEqMq`@o`6DUU<3$O75WQaW-1>)Ig+Ir*> zJI9@rONfcxAR!1xlYmEns|;sFwEc_U-0|H(Jg7P6UZ395$5&@&Mst~O(4!vGm7+p>OxYxybA%$56p(;;iZ5_ho8;4P`lshywhE4Q0J)$aM|W~_Cu?@0 z#VkEDlzG6H`{KKw)@(TxE^IW1ed)DfAVK!3!1+PME`=i~qRkp}6kk~X2mg8h-Me>r za7qn1fOG|+Ppr*fU2#I*g$p5jt$TQ0_ShCQH^X){G8;J zy=@hAw{{psvF#8_u#jfuAPt1Gn4Mp>W=#d@ONVdIVgGvCW0!vfkq9%BZ#ZzX0Vam{ z^T0wYM90;e!t8gaAOj3C>cfQcmDu%G$8_GwpwkBXO#t>DqOhU07RCZm(qslS*_kOu zyRP{HPy>RywS|ZUm)H2q*F+*5RovzW^5$$<0)&RiA&zr&JEv8_q;U?Sk&ZglIK0mK zzygNM46c({2GO>lfFw&6yEqX#&{ugcAb?$*sHa#uF(A&xQ|oOWp(;&wp0pwC*hi=l zp{m%V4TdS5xP)INn)NkqSi9`7?f`n?bXMeDPkd_RdDHY$^RD=Y zz5j(PUNp(}*p;cC)W-NXZ%#rCIZ2EjtQ|Ndq=HaNn9wlIRf}UV`(X(7$eL(NI$oP< zrVPal!D}Nuy`Bwi7``gPe!~AZuKKT$*ts$?GF9N2NUes02haF|O9?{_VE`#*Sd~Tg z>3`|C!#Ka>Pb=I;`DlCWZpI6vDrs^O51L^Ua8#Q9+gqDRcL_4-Q+Q7+EN_Zl`lI0n zhbFQ8Yr7ShG)C|Lyqp55ECMop(3J3$IEkXZ*TweRrUfZqL8+`;_ib%c31mxRKrQRw zjy^=LNMWR>9$My>A67ZXi^ke)_GtOlV}W7ep8)%D*1rI3{1R&OZjDykdTW28Q;quY zkaH3+MByM3X$>yBDap%I);5>)ETDT(^sh-Lb#jiTLee3hFB*oMBS%G%lcfHY^g~Rf z9x{7{)S^w`40mKz=Mt&Tl@CaS|0hza&T!7{HA}qY5G6rG7!aqrvANtElKzI#)iA;JfBcCQu9TND3^%^@?=i0&6*85DAq_4ML!{Q5 zx`RvBUl9yQ#?9rY)2e{4g1`tz$vy&%EW<%OLexWat5%UjS-tBuD@bC6b*1kCJ~qEC z=$>PPkQmVaL~2JOeG}51G~U9fMUI^%buxZhy=x&XpQP^vFE?FqeI#|0q(vIBMi~Z> z#bF3UJKurKlN9}fKfKYDfJEFH>5)Qd%;G$Br@)5?gZ1(4Qi|ru9}I5k$A98ycK&Ej z(_et|GUiOCaLgWz=AhjL{`3FCq0_nVZwz#n4bG%k!eLV|I?903MRpsJOX+)oO^9fu zLNp|}VbMIPZzE3bwsbE!W!p_))tsL$8FD}2-*7HQ5~)cE`T1dla5Xq_Zs_Y(x=!#} zRgif}?*M#h1%-ZLkN>u*u6*n|O&LjE99P7N58@WWs$nifK}n9cMJ%gG(8`tQ`Ad7s zzx8pkhvY#SK~nW69asIUOMm)<<$R2s1`Y88x+2lIJ4bdZ0f<#!qQOW5GR-ef5h?`d zhA6^{_T|eL_FChA@92v7VPscjXH>DVc>(WTy>`}o7bo}{IeZgUl2rV9SiIp}XM;2H z0j$%TH*ekz(hTd}&4K1P=6v@Ld{q~s%C>FYiJah6q$87Rno!v|UK_*OBhASn-#=~t zk9OX+=}{#0XtWuBUDdYq1NVb=exJ<#yPcm~3t z->(|nrr?^87SM(|FqUdbBV}W`%hy3oI|d2}(hTu>_N)#W=bb5QP zb^RMJnqVIaYja_?R^5|-DN!(!fo1HVzz+nC9Ynq!)=bCT`6bXSj0Jot$ULI|=l zqp(w&VJ!7%@hx@wUhrUP$YVo^`wQHfJh zjjQw!+Jtw}UNM(C!{ZgxAFTKWRdWZ{$R|+fCqrB&*zV@fp=V&fOK=xV1picw_9G-m z2TTl&7W?5h0c{=wbK4{90DV!6SrwdT@n*TxN??aRlQV)f(1}X=8RlMo*tvXfu9=fV zmO#~zqy1sPZYR<=(k*Ddw&B4Oc@D6Goro)a} zb8tr>oC`1naO0o`kNtFBUx*3_EC(%?6ePr0je#TneN17!(_qn@yodWKjpEKY*nFji zoZx#YQDq3HL}`MH_9a!?G-@zgvpJ3k2~D7G#{9{xy5`N{-EJWA>E=1&*N zfd|AEFpTc0E~0fIF1d^sYOT-5ka4g72a*K=Y$E|FsQ!E@sO3ZNkR!?du%)K{n=O?C z7n--F2C&VQ!)tc`N1_8yqIQ9F@Xo#d#afE?2Zau_Rw1?@fbz`&*9zFKIiD-u{?cQ4 z^EuLOO@oJGN#ty_{E5YL7gA$bXsn z^5MD5xZS_{PnOvoMnB%N`CXerV)ZUc%I84M*m>Wt=&B1z)#dqB?9NG_y5-!|jGB!6 zaQaTBrw6U|fc$Fm_CGkLIwuDvzNP3c05S3Du8eRrtWimY1~!NcIO@BIv*`)x&7i&Z zpEWl(Pg>5mH4N{WOLe7Z{y(EB+Kv2g*`xpFUnmhh?1NYt8=oP8Or;1zEDb>6gtGi; z@^6noARC{YBz-j`1wa#Pxqb`2LHi$YRevd=3*cQf0_j3{3Q}X?AWKCQ2^G}4u-TFm zRLQZX$v6|9lzN0v7)FG(OSFKQ^Y&ct7ao$c0pUjIK0JL9aEKUzDJE)SOr0KzUPc^* zOU@fV<4ev6BF)Gs72}@cC<5PkQBNM?S@LT9D;i|HLbrg4zR!wI@W(ae#NkRf^@q^u zE$&N>?tzqC_|06QS{M=-@1vsWy8zg{iURq|veo6}jziiMWdcb>Zo*Ah7c3WPlSa`!cdQQi z=K+S@MW&9CqiAq2`7r$cgm6`SfgTQo#Q`KTx0lc@s z#K>`Q${N;wk-AdW*T&_;IEEwLV8(XK-ZBN4;3yO{}Kl|R}XlS z^}TM=`^H8s-+Mkjp*Xgf=#akTNMo9Q40oPY5lgW*8&;7}?5J$x>Q|v6Lh&mV_ap8YxK< z)octZLr9J8#HJNP3Zb3m%Gb#*~s9{(q!CTFezMTlcX*B zsAtc+pOkSQ^xO+NR_NySb^5`zIR(nyLx-L{ze@EFz2>-)P+vPF7B+?JKITqYLt=}? zdkun{B?WaF&V+sa-=HZUHp7;-n%^*{q z+4igAtX@nM@;1}^xywzGYnyB*S>9i+ncO>MieC8EuvKIDhkXWpFSu((sXuV=NN!AI zTzLew(d>#@!OZ;FhGaskIKG90De9@d->BQawGPQ=zq9eTzBCTh5D&~-@Q$J$m3Tr+ zIeklvYq1w^2g^)pv@5dH*HX9&-fKfLNOi;axiy1eoF zrl?;smaQGnB*~=P^m|`gI6JF<#gdhW)6Rc9m|=Q7W+#f)T)kkgIyN(*#x(-ZF z{Xuk%Q4n2MC^RIB=NXOc+q3r9DW`t>I~&2jTPpvS>-vVpL!exo|^kEFa>a4vn<<#`I>|>zYQr3Y=jb5#I3OI?~l$9TL zDjs;vKF%J}w>YivmjO7MtPbD_R>V^Hi+ey+!oGzmb;IGBg9fh0@wXe^sB6dH*!sqY zV8sJjECG0qLYGXq`1}+TB{o7hk0MQ{oNcfGe!D>TDsWFzWw z=sn`cE4};f-Iu5}UiiMN{Dy}P*O{=D$c zr#tFJNs36X{D3dko7q-eP1>P5wii_XM8f2Wy_bDuP_*rzt`?jBf4N$IZ?0C$Tba@K zt229HPU=qI;v{vz>E3=bDtfWj~bB*Ir&eIiw#{nf0ultM1g#U*Tz@xBlt zb`t6#`HtM&K-qrw_4EE1*NV^|E_e=h2XzqiJ)|?@k!Hi$#0gP1cOkzh7X|LY!%e*$ zBi8C~yZmW#;ldI!uTKBTC`qOK#@KrnX!vA4Duv8l#EGwQ>Jbmta4Alvo6Idjb!7jq zm~-kgaY*EGW5&^*lg^FlS2|Gq8nD{|56*#oR}0NADZbByb*7w=$obq(oVxR+xy|6%m-&eSu7thO@2gUuRv?JnQHhcE$vwingDxidrM0MAz`(1*X zM!n+b4US(xeTY7<@VaP|g7r3@#>KyH_vg3E|o3_FGlgefMt6y{!i20 zBlepQ7vmVnV})bS$(>)E>Q{={{KcO7X|F8)AWzQpFX&fMS@RVl_iW$A%3`i9(?JIR zGW(5i4u+#8Q35uF%&m3Lt!Qah$7{B%E`40fW04m|lT_dziX9R;fF2uuZM9=ceb*Bg zg=?TwbzsusY(&2vkX6nsFdMq+W5-=IRP>_tHDXMP+q9%Lh^Qk{*gk>-(oLp~Yk~dF zDEb4vG@-bm5kDktaaBR0IWn2xzmOl5ukva0*2W`#y@>~2f#QOLo=ZakkzOXIfU0%wWqyiv7BXJl^?lLy8D>gI&q+_h z0``wu{B>wQ{WPfqJ-+$dI=|2+L#g!O3CGhf9! zuCNUs{oSX!;S)+CZ<p2~n~6xuNM+#tZG$Q}=ziPPgB7cT@#cTEV)S9*-|C&prN*l2+;0f7BG-4SwIY zR!<-!1``#4f~>yopNPs*@$l}j;}0{+cc#6@tdxFjqrwrzBjR1kS687#Vo5EcSRn$i zzUCy{Lx(CbPn=!W6q;ws6A5bR@F{S>{lu%7Y0AUgBtgx+!_L+t!NtMMzGXiXr2KVW-jvaa$$q4*cgxNHT>+ zQirM)U1~&j4aY0HvI&>R)V+4c)JUlucI_&z9;I5sc*5jW?mIw$JlASBWj@`w4l94X zJGs~GIQA29gOY(2*Jk9Y0;$+>nwum3fdpLch72s>2~oZIH&k7aY>yiL9s5ij1@AZUp??<+-^ zC+N40Sb6#@hwdxC$P<%0d?M=T{t!9*khWUB5d<;9G@u)t?!S<=B1QzTng*sq>V|BR zvYM9yZs}Ru6zDLus<`2;5WT~jCm1o(I}UV}pyRV%4bog;e?IK5y<1<%9k-7-kPtDA zELeI*MHT=qD$Xj!10@BQZa|yt%n7=>L8*uV;DA|eNsj&P?ySZHPo;>N)2<#BO~i&q zHbU=q-;Ehnp=~2~)=`8iY7A(gMnyOU%VEcD1p+tw=oBww&3N=Qyw0)DHTs4X-=!OS zk8~heU?F{#A$Cjh4R@lfQC?o&0Zt=FjbV&2-RyH+RPD@qj{y4Fp{;4a#Hdz;%&dUw zar9diY?BJK*0ghISeT)|s29WQgkg!x)j&ho<9>&JSDf2oA3#vbEV?z2#&AIq(XcpK z-sS`vVq9VM-XPz$O27Vcu?hdz4xQ_lD=9^7dW}2N#Jts|M&7hM5|rAvHbF4tz5nlT zRG#vG{PYRjrqZ7Ljgmp#XopvcRD)7*{hvWwrc^$dBX1r4b8?A z&wT{PbB78|NaFY|e6qnHY*JDE>(4$~oW3Eb<7V1KA?DTnSU+*&ZWx&iVC3s9(sKN& z!&_x@3oZIRUR)4d`EhI?gR0+pM<1vt*7a$0DZE(MHbVE{B3Jx7M=B9LE1?d_7Y({` zXF8v3YyV-Ha)B>Db}6oH#Dar1PGhSxT)XFW4teI}d3b`td_i%6|LfLvH2u`vVPXb^ zvt{z6w<-pvt1IRF-0~bsQQIotHT4*G-n7S`pP&_lm8bik?3w?Yui}5OCI2s<-r|;| zkg#d%?BO6kfykur9y5pfs>N=pevq1%JfW`1RWDEW<}>at@mEX_)c^L>?u6Fc z?BlhWtdb^J;e6G=tvw{9~{ONLZ-*xI37 z>mAdiA7f)E(PFckyHC`(8IY=7BziuKC+glhJlmqIbIpF#ZcT>FGJncH^lIYlT`N1d zt@$Cs4kTqanO9PvfY;_$xZH}39*=oMw#=cy10(P<6`?Qg=^flQzmvV+CI5iXpE(xl zB)2!QuUk>@^rw=^%h*>qU5HhS{mYJTSzE@~ehqVeiOI6{>^~3sF`Y>?f09%qG0~wN z*ll$WiNx^>7cO)-;?mCa0Q=-;!j13LPw!E!NV|NqSH@W}&$JJXy?ZmkS=jCi*4&z0 z-6t{0+-QnE%lkuKmwF>z?$ZUN49RGLsjpCUGNWk}Ah{og^@g zn|Q%B-EmbcqWbO&*6b9Gg4<@-B9Re_QwdD25tX54U8~ZW`7OXIQ3mm;!=4JIx_G;O zE~;a(&QRoCiLlZBj<`KSk}T`i)wKJL9aF!dF+(RB)E6g`Jt|ynBT2>K{-yaoDlVSq zUp0G#RqE9bzA66ryi2;Hp=1{=fWi+e)h4i!6E|NB9Y9mF6J3@!krg+r{)PA}qhoaU z@Q`mozE)Z)MbHt06w$=>*8K---RR}+XK6Q;#8ZSm{6STf!s%Gp^3&kpd7!qnQXb#lI>NAAZ+y|k7LUX?DSVI zBsD?gkdYj4q6x;D_;IZ@YmYI*4oKQj`tbBcj-s0L!=3n5ixTUYn`{;-hg=HoWtfjS zb{=R`v`B;pQD=5K6F!pPp&vMpEioOEClRBM^UV#>rRhPEL=`RT8PPeDh~BRBgvQ89 z@%Z>oeiR;@q(AyqEw5NWHmZD5e6Xgrt^3ll$@r}t%e!%L{I*|}T8#!{MG!VFb4f*goZD=ja z-4YvuIjE?#pa~;Q2}!%1VO_6J(i(Cl80*tz+9VB%q1VgBB0Iv-M7v7tv#3EIG70l@ zcmiKJgv7S%{Io=3N=;{%sRD5{b;(Hum4ov0sGnvd-MXO2ei=V=LmOR6MExS`O}=Oh zEuz_wbXLwpOF*y>MG)vuti({CyrFzlHd*RN6#0TsTtUZj+q2Y47o!p0MFfso>rsVI zzw|qU$#TL&PRVz{)KTGCY%`xRjTj0^m|;;-kp!#JW%ka$p454I$-T}4%UM#H!OgXU zN%oboyUa1LU4C?X;jOZn{t`MT2nh1nZs*FDt39@kdf22(oz@rjyi{=1Wa2kSU22nz z)pv`4ZuqKIt0b^(px*M#7x%U?D~O`|l-q{6lX$>PpOBJR6}L5Aa!w>(its%l7{h+k zr^WxF;MsK!99K*i%1NW$$+$4~eDiuSP4&~xs6Fl_ap{LAz02Y;^hf%4jE`U?UnFwK zHDVx(ge$-^NNs&l=E7~l1>%G-$ve7LFMRoLUWoQ^jvB_o6iUAcq!CGq`8>cn`Dc*@ zdCl+J_+S@POT^K*n0sW;C7xfVi};Bs2n%=@WMIS^?iy51<2whKo~L_*U#VNX_lfNG@OE!z0_$c>Bv}YF3?VZg6;trT2b$1^K`8#LFyWf>%nR zApdv8G5!Fa(!C5zSsA0RC_iO--@~vJo`OcOS99VW9H@lF$B&E^>_PrK54x6JPE7!X(mjX!sLLdN89J|J#F&)Q+{L&5$3I4iG=~qd$g3%bSejR(3X@!2 zE;Vv>_e7K#zhr7YhAmhNXWlWwoJWMIE!53M856{)m(9nHs83*8`W|91p`Mj}l zZ-e&ipNhB-4nR^3WQhjK55Pq0#qFp`_GozC<&2DsGw96*5yY@``EvQk1E@FmVfwcp zZRdVYwLnm#Kqkz$6j@@D?eqersc(3AxZ%v1ZrQF__U;?8AZZ`gOb0-L0?{P|g8#eV zTw>$noUJ1qX;7?FY;RfMp-^iH zrKf1-T?5)A+>6+eF?xD>%aG!cF`z3~{+MX3&>;FXq;5+-Q>@!~*UG|TDRd4;$AtUs zBo+G<^+Xm~3gHgF0V~YFp+1do%Izr?+5rx^eL|iXgn#Yrs%K{RwrQp)J{hJ#`#Hhy z7HoKW;~2wQzq~s55o3{Hn=}f+ZxAUV%1^!W(l|DCVn@nCbmuho;p4sF=&^;kZ!0-g zS)qnqX&U>6H$fr0fhhV0n|B%~>2eOZWu6V?gTtT4o~bd~6%b&1uIbr)Ziu{nEOhN9 z^QZvqGDEkxv+3P{X?uf>(4O3YFPkB+^|bMsN5tS0Mm_kZl~QmnLqEHWp4qR7#C2nC zX=AqSJ7+!O(S>SJD~*Bb7kM--a9mkN@G2puYjTzr6Ea8I_3{*lSC39*?58XY6FXp2?Cm5_OMCAhke_Vh8Sck9-#-!JzIOo)9P z+kwD5DbqB1jrnp&U7UXWg8jR9FNHu^@zFihx;G?}*#6O#m(H&+W(e#7TyZDPVQ(Pm zY&(~7WGrPsm&P1F4ODgpd4y?HG^%xn=EN7JS{Ji`mPz*HE-}upF0ez%V~>h`g_Miq z{UW_c`OC}8!(mtPHh3!m?k|@^jvvc$UP_G}YvCReJ3jubJ45!TI6>^=4o}hg@yOH0 z4b>T8?$qPPxC1M8TD*Q2OMQV^k!JWf8B1hQFbmb^6s#-Rc5F`0HAX!1g3|v6T4uSu zobQM6DEE?$~ThVF8R*EW=x4ihF!=v@_;R9k+H8w1q|dmzdDABCrq68C`uTnho`)$r=CM1M;wEcadh*bL zPt?@W1FY+JIhuGv0J_qWg8#1@9jI63Nz_;GsRyI_IbtqW}Dk62ORZv z%4$n}a|73awJYnMJW)r?aYfk%ErcVe-%@(k1r^QQq$8aDa-VrzcS}Qlcj{~$QDL<;nev(oHbI?}>n&3S9 zAg(Hqv40lbUg*!U ztJ+J=txPk>(?2||H+pooaj;(D$whKE)9Fu-srNyCdTW{nz{}VxyI*O~DRrOj;@B&8 zbXZ(IMZP`bl0KEP7tqZ;UNN?pjWJD|p^3@bVSD%Ppq_j@gB||{m)lp}OC@&%7{qFw zE z=dqOfWd{9h>V(oCeR^u8T2tWrIlN_h?_hq>?xnQWHWCj##Qe_FWbOL0Oqz@?e^UCfoJ=)fNI4L*evxcnTW-E8$t6hd+txjBe|t>crG>Cf|O!>6rCCZ zYwk!4axce(&j6VS(c8By{h)$}HQvO~r1&&(R^vR6xjhp};_T>ZO}*#8wrz2Tvm~iO zMoHKkrRx+a)PDocQHoWPyX>UuRlVA^q7a*Rj;=C`bBoSjC?HHZL#1TmkKb5uRR|TG7#@EcYK5yAsSYOWBvw|`{a?(pb`xE!g z3{m=q>c?&dMWF;T537vc@-#$4+&EbW(d_&Is$!cWrspPQk{(Y;-EnH!Ioj1**`~|^ zYNX4wS-=2w%Urgf95(i;!)O&OXt}>DdvV7#j(T(GIknh?iJW;^$bAPI(!7~d!pD*d z9j={zu83Z_k~(}yowj?mb8u6E;5_8g{@BGf%0*YtJOw|IHRy(V%>R6V%y(Dahv=>hIu2u4LTJ(TQd%ETNhPpjWizRsav?A^kpSI zuZ;)%r+GtVQ^ek zBX7ixp}!D01tg%}o9NnR)u;3?2B;Gy1H>)gFN7#0TRd>HW=bvKi*=(@5e&z{AuxkFTlQG?B+r>9mu^zU7q9~{l;Y;|(U zccR&aVrwBzN=N0Z5Hf3xN}NoCUf#QS@uJ;}v?PWADXW>l82R|lDSE!1v>-*+wD`V! z)2^dGQN|dOO!sNDDqJ^k{N*_dv}T>yzI|q5-J!_jBY6oLM$yG-jb@4)gT`Za$@;mL zB|-0+UCxV+y0Vt3jLtQZUZPS$%rg_EYpM z^#wy`0&9qSp+tTG?QL(yRoNbDN0?vNMR&&8*YsVqC-vY|d9z~nLIJjs6G=8Aab<*L zAC;!f?ozD0_xYF0y~dl~9WQZAVjggCyv*}0;nUF*Rqwlf>P%kZj~VlKrv8*~e{`dZ zz%T*`u$$nc|D`0=bu-bPn=?+;qw2VCv0OPA4%35_o}_g*HOq-TapFwPR^f{BN%W03 zeZT&3!Lw2h@8MXv%WI81^ZUfO{3+cQ)Z>p@xo`6fvoP&K!&miV?{Kk?&=rkeskZ9t zN{YkOd6)7@SG5*aDr~QDUe5%KNf359z4{{av<8@}LE)uMIRgdr=Ny-KR#UfJ68p ziIG}+TqkSWeV_eX$FkkfW~{byW78*UcruI{SF3mk5)$`wrE3Ai*;|xPu~bD-V1qa^ zdNt2uT}cp?n&nhiYPXf&`}l~wo&wq2e&mbH^jG`Gbq@8euax=TC5e z$8||S{2=sT;WDK>lXzOZ{1b>!kik0)qay_k?961@&c}=>w>+;MA8Gg#wJ`bR_4!hB zNbmyi)_tQC&(if9)*8!aZm?eG;h~17F4hg=s3n9V49UeW$xk`mxBOA@iK`43azLpC zmGg5gd$vZcYGZ6#lc_&5*-&b^a^|PEs2XGmHo^3W{r%~3pIe|<$7w|aZqL5u0T1om zc|MDnth-X|DFWGOdxP$NMvG<2RM*@X21t~}`(~Hxe*=rs(KDBVB2?dVyc?Es8kNT% zxo3j{h{qE)j^cZTYZSz=IROoNl*aQ>I>|wHbhC%;!Nl2VtmQmw7vE6*K~Hq&%sb)Y z8eDH3&~z|&6E^H1vtmUFw48;rpTo=X>1B84^(a|TEIGJjc$-Rc$mH%puY!w3PE0d* zdc%tvGq14r*>2P;m?iJzLl2BxUFPOmox!WlimaDfVg(i5!1NcIRlcld5N2XJ!!yrc znc&h}%Q+?@Lf0Z+j!Q6|6(y+w!tWi}CqxNVyNI$TWt;0 zAF7}Jii6Ld%a1X0a4nc#?rnD``kG1vU$MXv?Gr1)Mb-~PE_ z63iA?uDJseA}auu0ndbwH!k~bsNpVgTaj%;>Kht@C48aTC(kmLkqFHraI6Z~75fG> zEYZegLqJN|BZT6Qt6ZoQksRUU13Y*F`3hvAh?@*gUyDD@*GqVBR!oxE z`;IO@N@gq(?+1TT6&!6GFoPX6Ye4lI=ruQhmVKd6uVVke+7qdgRpvPZH*__{{~}Jw7C*r zEi6uIVDWTPtKU1SThLUBz&YrjBoLJTvVx;0hkCRuyGT2}NdpvAxI*l?5=|-b(_)<` zx*}#P*2{)*Rm8k;w9S?G#q1eq{zP9Y+Hj4Mv*|e-i(D*^70#Xyl6PF4IbkyKHi)AiF9b@ltln3HPg}VdLCePy^s)Nv^7Rke z)ZMyM#iDn!=N|DZdSF(P{ zV_}!F4{3o`scPj45GeQ?-NdE2!#>U;zMK;DslH#8D9`Xi8%>Wf#s39BXX?T1x<~EJ zjShVId%@hNH8l$ChLcagN@PYR-|b2o1boJU+k>9bMX&_~A=@Z8l*K6hwVIhPGOZQt0cGRxx4c{468g?*H=LG46$9Aos{; zZ-elU%Q3&ZG(Nyx*LUcPJ1@B!X>0*2;dp^{#`hp(0RV`ScLa_)2R-agq%MCiA{GId zvf;qKFlYTV^k2O^mB{o^;7y;sd-s;(1~-pUt4$*ko)xqdwkqRe2WmO@JxD5)^z<@G zfDd;ULq44u74|;r@QF2K1;~KqNp0!*f(}?A?uRj0Ea~JVP6&|jo z>tqa&6*GUV{F;P=3H%x`B$*9sz%}(ARXuEH6d+YwDsEg^?8^e1XJLU5zU4ytqp^f+ zx!@wIjPFhs4c1c`w0yo{`S~KL?{+R_@bh?XJ;Tu~fi2_`A7kSz<#M`yIiG=3B0~`Y zCK-RL%gi@RX&%kM6{yYcqEn#Y^T{U~rw=`)BlaY25$N%qqd-?sC=Qlsb9b&&BWq4}8?1h{9Y zxs0%^ZDx5~tbKGR3kP*Ugl>NqA!)BSW{fRd z$~>REgE5?Uj^9@%yaZvv3_x4+Gu_Unchg;EXLKMt?#SBtws$pvTXg1R$7){L z$Cl93(4_0YJz*LdcE;B#9VX|cS7gr*bU3K)Wo*?9|M$*l=$Mp#2dK6V2#09U;bB$o zMqRsfF{?Nmf295TuaYVXo-Jb(p}5!KS3I^cXyts15ldnzdKqjP5} zZ*q&K;qtW9>hy}m0-!b1p&WqFy?5T=T}em!|32#2du=DRG3et8;>4}EKu%9cUrOS6ah9_#AXTpiHB(fpvi+`TAcBU`+T*k!rlBH~_DXQ_zWf!@iSw`iq$ z_8vm*MW-o}&pwq=HHY#Bb?)35|Ct1%vo*Iyad=M|Tj2DK7?l9rx^0G8XnIt6QeT6! zGKm&LVVROITXsx#V^K0!cj};2@hv5kCF6%&7}nz1oIOpWZ`@-#C8_%qqo-m_*t|Qhp053?_!uUSoT=(5b6G z6Bf6HAzFm2)flY9(l||)qFL7(PIPk|{A!uf&JY5$hZGdRF~jQJna1)ToAC%N+a1}g z_Mo&>6^9*KAe=8HqVWCq*RV=Ztj8Sg=##oc5n;KKq6ZLT4wlv^`HY5V@t&j}TeRWH zcPf%pLuqbmY;2t9ir>%md-v`=`NwnRju5uOsZE>^X|2f}GZwRf% zcrQb#r}o_o5vrSxfA$BjyCMc53H%cUpZX`hM*x%={8{YzBy)#BdL$djz|>{7w&l3yK&L5Ug;)fqKL{D#_l%qYhmb`to;TK#^@lCwceP|1_3M#bYR*{@U^f~?2EK8LK zv!eLC5-?S`*di5Y@c`_31i9motnL(UhAOMDPaCCd;?tId-?vSFCQOEDNn;%g=K5c{ z>Rz`k$3BNM(l$OnsQD9iBd)>-_5NbDZ<=?j-4x56aOR=fRp838W5*8d?wU&3lcfXq z^P7#LNX*XoPKD+zGFug>YLWC%Bs=XLBzg9dhy!f<5mSLc)$wnazT(At=Jrt>a3{wyGU5K)$14do# zzJIN1m@0OA@Eizo`0*N z?t}?2EBkEcgzElzdnJR5EJk@7-s_jZiccy(c3|`u7rc!E^Z^Bt3W{c}|D;XgUNJoW z433rP2C_KVEc&+Y+7(}6p}Mj#$r5L#0M&kw-UJC3@IkowtR@0K=Rnf5t=@I;;4lt> zlmSDAL>&9&UEE?@w_SriZp80^pqcRXc!mvL=DT&Pp&%|Mbz&mNe=O zjg65J94dCEGuyBIHUiGKUn>Iq@&T^=psLYJ>Ex31YzGb`K3jw><#5Zcu7pRnMW#m3 ziZ!m&KcG?QxviIy_ohv)Jbc#zOd&#mC3IqvDZ7O^s*6oUw?V~W`dyyOCdJ;j@;k2E zH&a`$n|3TiXmM%I(x#A(v(HIAsfS*Y&f3LCT^}N$2ou@YvZ$UUgkD-rIiTHNA|3ds zRc*6EiCI&2#I08|2D%aLihHAotA&;+U=R?3>_v_~;@0Nd`c~^qQLQCjrwGmg*Im&4 z1F1H)ZfjXne4kHSzgYQ;edwJbI)O?`wKcnk`u?%h+Oe?zpCj+j_ z0aeQ)w%kuXxnQ>d9l8eGpHt4K5QU@Tx0EvYaF0w#i&x%dz0LT|c%O%7k$- zI=GTi-N}o~BvCbs>465#*)R^nG7kw@QapBF<4IS+l@b?3xI8WsnB{2{x|aokna|&X zm`A`45HFKTnKe-37@G06goB+*(Ic^gej2ZzEa98{^;gF-3t=ScW>r>Pe3T}7d~V90 zHg&m~1znTD$pObCLjnHIxS!&*>u*@|`|lFgTlY(ckr9mYDsV_XhpDg%dKzHKi~YuP}4cmiD-dQviNqL~5H`^k7gI#-aM zw5sB4g}8_J-E&N5xNUA9bl*=0C6+|56)f*|yA1^cii8$G4w(M6!utd-wif}rKaO8{EtOC|E?%)`6~WRJ^ue(V)Xy7cmGvOHLg^#m(T!Yr&sY2 zvX4{6hlX=m+Atmk=`p$wvd9l1*oo$y+7tr~BW(R__ne0ihyG>OZ_ZgW#*R+~H2Cq- zGm5C>-<pro;5R;3M0ggXxAFbS*k*U8h~G);)xya6SX4Ag)`Q%=OHWwZko&DH29`8_uCEs+9_~Ltg$kowui+rUF8Ax>;$NW75|W5Mb+$ALVIKM zmpzm)3(%W9|3-sTm1ef#Ll#_E1H5>GKy>OGKGP)f*nM>Em^CMXkJOH)&Pz9NjO zG#zq>6@r$qyE|J2{E97$23rmL znA#VAr^KO(jV57Kf^Prw%m(34FeQ12yHqyJV9B_7eQH(Bk+#dwCSSiyb?@3gY^`lRyhiv}!PzI;x3cOUs!ru{f5 zq=catkaJ3umC_4<8CWFTlPo_{CtywdV%OBit>Cb@RtvKPWt)8ERO}c{MyDkK=GZK` zqbX8biy1gvOPUOmm8oXUY05QJmVA58F5k)v{<_ey&!mO^q87k-)lk9Q=THT!v*X;i ztv2V{QeH7ukNl+pFyCwe%u8uN#JbAHnceNeJXRLjjrgn_VdOFdt2Jz-@!>O_II&Gv zg-6PY-{oMPLy5cvI+Fwb)qLMF8&N$zl1LVT7-=-j&HHn4Lf+@X$taSqTg)zPY%s~6 zq@mdJ9+ZB&0l56g(W9ag1w>eZP*Y$Pyl4j+ii!kW6wz?dGmz&!A{UlpAx4gL$+M6Y zVLx?a_)yM#(GspXLT3caZPPGfkl4AaJ1I8n5#tL z!1lvuE#lh}HI@T19ytPJ5-cWL%yITyUgCUB{q>n*+B1I8gXK5&TUI~I9JHik=gxc8 zk7d^s6&3jv)yX#^59?_?Ev>06TOJ2T{*89?LX6GTv7f_BnMFN{LU#^PkPmA|+V6qc zfGd7MpVs=rv~1@Nx5J#)4`Y*yYxC`rlP5*)Wn5U$XX4rHOIb(UAD^9W)_SUpo2l|( zff$&b5BjMxJFLm_QOVtk^_wLly}C78KdP2SOz{|T zDYVtY<3A})Eev7(i~C4fnW&99|A%U7o+{WVLI6>zv7D(PBoBoK*7`N9(N0lpTXs=a zj-ZB=^IPM}3NE_1GzhbnQZ?rD7wl!yfC-OB6jv|;${FL@7oAD0{6=A0aKTq3=iaK& zcwMbbjEu~9FPPYy+D~i-oW3QRT`77&dHq8ff6RG40f9DX?8$?{!CszUDOSp_%NTnq z4KZi5E?qP~D`wxgIk~z`OSte+w{GI0EVtX%t*UYVM*Lln1bhl0@pv6!yg66;E3V_O z8d8~ui8DT(h}_H{rp%4b_&CX$?z)6xz;%hcEYw-jT8!DPwT*5AC1Yaa_WXZ|w(#0(=X(o<*yLZsF zGWwXRv9Mvlcn+?)GV&fU;Np!Be<^I)l8zAyHH5^p*6abJ;rVm~R7r-^cWaMVLd{^4 z5R15|9f}*wNk_m!qaW~v!t?{)K?ME`WI8aW1EU#&$tT`Ah5dhPgTUp{=(j5GNCJcC zw|V=%J)3TI{{q6lJ(CJ4w0jIvyjjP|*q|G<2eT62LlBUv(VJfK|6-Vf;gy}F^Lc_q z!HH=JFsRI&F{8t1 zZVmyX3Kb-R<5of)0mUfY#|hY1Eq!an*}reXzCPTZ%F|Y{Fcx!1v1T%vY@ZM|$Kk_= zIRRz^(1Ev{h9xH&wCYY>9W^kMTOGgL);3^ncf7CRb7Y%+&KdKiygTq@kdb+giQHDg zbOU3b zL+q{Pq@Ieu%MGJ2I5eY;cJL_^&4TSf-vgph_ z!C@#V`czh}O%|6Wbg5S!^1P;d*nTRH9dOJf2eXzgVfXyCuoQ&26O`Mr=jdsSIfuIR z!`*oFP7hDdX7|e-lnf?KQmhhSO>NE_dd)swPBcrP;gX%fUpxBIAS+2&Y94h7WC!cW z8lX^QaVC}Q)~QWeOX=JIkos&72?=?+6&?SkO<*_PU04Vtw1iM%$#~xG{TIyG5eKsH zc*27vG`fs=57IXE7p=3$Au5jWg>{sVDkXf0Z8$x=%_dKss@Bq5)7DG$ma*~s*C-FY zJKSWpwuT5=Gn`7a7>QvdpS-BF-9PTQS89DaDpSrWDnql)CT1+7B9wI9v?Jx*lw;rSLG&ojkFq%!H@^@Ib2R0Ji?bd0CHo;5Zi!G-HUi_T9q!Z*?>S9_9GD-|93X27$tX zgID3U+1w7%XmuyqS`BoisOOXf`Cr4N%Fqn`RV`!gJ%JAeC=`43a96NjYAZim8y{i* z@b?uo+CqTiw`iABtaSXMRG&Gh7V!6qAnxSiDfi8aQgtFVzE&RM6C%A$EjU{WbP;(Epi|ca3ynt)0g6 zHfzAkWk5#hd0;?G`4!<&aCeg4m@&C_<6B}&@BXm(8({`l=s~f<$3M(b^U6c&zC413 zB`C-+ll@6dy~Qlpt-yI|WFxx({}ICzPuEWGDphpEtnB7Z)2SNG@8d^~EQa%G?BteO z&D1S1Zu84K+!>O-ig=x>C}3VSbR&_-nwpw!DXN7vvKNz(qbRZXO|DI?lWbUvL3*1*)v|@H~Z%gSt5` z`$s1KG7e(D>t{yX6V=Vfb3X}aMyR|AJBwX0&3@%0=Q)V@S#$Oqcn!X zk>9_+Vp?i&k4fkLy!r96)y|bWv@-h{KBL1SMq;L93w;0K0AanF?W%#Yqi4*x~A+oRxm_uJ`(35S{6(TJAq{vEN#^RU>J z-?gTUOEN-zne#lpDB0^$Znj5MyMqx0w#a?jKL_JkS&+au-#02|$6FyqOuEFiF8QM3 zDah|G*uP^YMFLTR%ss@1^hU7$BK!`7s-!Zs1-&)rI8Z^GXPAWAQKD7>OOXgohJu}q zv~Tc#!m;uew|v!{z(wD_4pA#5;X8_VFWb&^3&$uXFHn z*h(|VNmVww=%whnSd0XBRdPQkHB>|kIar2QFQ2!3BrJ(8#KCcU*v)t3~cposrde{K$&rjZj*FI^CT8+q!!_p=ydhQ4ND`V ztt>L3PGWD}Qa7mbU9$=m=>iECZnfBQS9nvmfv(2xENC;g1i-|BPg&;%wmTK(T;AHB zfKUyddB_4o?g2x+$jgvraOqOQ_=)lnzHM>559#!ee>20Hh-JUGcB|1)_J@Dh--r0M zB6hCRxRwI-DEil^uM~9!ulB$AzWxpa9I@I>A`T?Ncktj8IZOX+uEi^vupYg){oPs1 z=jqBt{B;Sxg`Q*+z4vLVPF0Qw8Hh5qD(GVp_V&B)ChN2uBi>yU&&LgubFCeqeBRR@k>MQCLeDBBwX8z^Tf`w@b^* zBN1Rt0lN^YhIkzI>`ahw%QGiMWzKub9UTQRO-x}HqN}XBeR2|SLR_-wn`o=oz*4P5 zoGxL)jPxuP2TA4+5nT|Oz~ks)!_v~yG_Gf~5|v@SNOs%`8OQ*E9TX(ejFZr0J7DCT zXQNu~4i;Irfa?B_0p?-DM>5GC_>-{2C4F6N7$j^go@d_gcR4~@Yr~hfHXl&N_5{_{LOu}pe z1jFmtwgqRPGe(m$qzR9el3W{5(cs|6wXIL16f(%t&Mc2B$I$EOrS(i9rHK_2K(^qy zVM;%(x);mL0}ze~yEz0=DCqlfkA=Sr=}R;key%LB+(peb-GwA1YBOYbACp*lVBTb3>(Ht?1pwY>n$`2p{%rsCZG5z2jjjgkJ}JLL=Po_E(0XX>V%Kbhc%|y*0X&ga!;X?V{Bc!P)x!mX70cto zccDh@Ur5QET}Q#%6UHE`HWW%(_Ove)Kf!-x59Zmun9s&_dwstt)ma5}so}bqGqsaR z#r!9VpHAHgL*}0_7zL2TR}s<$kn_PSitbrrMq={?YSnsFitN^Pu(f_s0Yue8f~;Isi)0oEXJm`{o#inOhrt| zvmH!jnjBI3sp34iijgyr4k);Zp*w9hMJyzgBz1{Ax0n*J{_1voctO(y$dw8oyBCoj zqJvd@O$ImqsIpbj6O?aXx`Fcw2tRd6`d8u>-SZ%-_qg==BeU z_Ej!h{+cywzH2;&)DJX9&{N_A%#y!qW1uV8Di8yXjVsVP0i;<{8u09rc|oHO{KU@k zp2g7qi+V`;jz7WdteiGL3371%?KZAauY)^-1THPWeqw~r$4V93x$T%5N$eU(2*Msd zSN|S-M$@SlgMh#U1G_9J_n>rQytp%#^2Qk2pj9(l753c>Ld?F3CBi!bra6D%wGzXCUqb?UFe`9@Xx5WkzKfD5vz+<^7T1@;dG z&s_l?33GP;v6;cu7LF(qwOJQg2~Qbd`iE{CktC|f*+3PQZJ_8Jib@Zyj5rZ9jy<-|ACPVGM&#UD-9cEK z#%Y$XXQCu%8B%~1IZ>8jgG!DbIdX7)Mm;5%C=Nk$aeRAVRw)J3++lGa>nkbMEeK1F zrAD%d{4Huv%ehcimKItGYf8+$L<-Mb(bE1N(y|ErbO4cKOW-7~NKg&hL1bwb{Npw3 zMH<(YZB8$_{GLFTT3T^a+O*WrIp(>cm0?W8GnvN-0mjPjJs^ST%t^URVMvmQlZkXC z97CsvlGg#pgwiEUh9>9{CEH2#?^3T21RilCfo)NSmr)w!Nh*vt4TZAL9lGY_b7!%t zWm=R38NR?>nd8oZS`z+VCF(Z|z;y|h5_K8Ubr#ERQ6q@nPi*sO=)q#G52!1^0&f=! z*UUQJLOG&FFdK6;B-!CJ`?0mhrWt-gl;(@*%+OeW+{BK1VdB(~qTf8LSIfcaZ68q) zTG>jja!~)2?CHS3g66hHXj*OrN$#VnQs2d#{dh1LYqZd~&}1Qih$4triDYOzdcO7;Wi zvgz+%3rtez>UPjmXQi9lkUGXY{>hUf_U>P2HTv;cH^bDnN>M6*-5Gng3!|_QEwt=~ zECGup`SN{SYp>l`{R~WRPp>ScJzDlE&sZ1VI>u?Gz56tJbi6uL_{LDA>#!hj69#-00Gq&UX zb7UUHOo!nVe&wt;OPPUv|9uGA3<=W$2D!plI*Yz~mqxr7i3*@_;~$5}(&3QOq=9-+ zSy?&l%5({1V!l#B$3w9*cIrQrI!@&rpUJ}VYRtbUQ8Fm)#`*R?4*(7i!k8-ZM1X-} z5h|Iwa{4h<@mu<`2iq?DWGi{L=OHSO%^iCkV}2<~Qz-VMioeE;lU*qc-#fnR9HS7$ zn^B6;2JFMR3-!Owz>onCXB* z6!iI2E~H7TCwEBof9UR=4)>gK^)bc|V++^pl40pCssVZYI^pxb9y>Ul*~+$-0}G<-eJ^7ulqqI ztr%AE^%2R&^YQz15x+to^?=xsFbKqdpHa$bRH_TSn(7quXk^4@*H0kZ6UTp%vQb!@ z$>^1tO&!y(aj7DZfH0ne0yK;!E;S`(Dm?@4*^5g$f7JS!y?f3M>+c{rvv;bVX~fq< z&*22&RsRB)KJxMpzTz~0$wWet^ALafo4mq68y^w9wDJ{qst9KVBl4U61E;T{#oOI; zbD^V~cB~L_`n8~)yn_I+hcld#G2h+KjXMsw6Pr%)u1j-jJT-6qH>??P65-LF=2S-IZLgDV@>C?A3b26 z{+gBGt$o6({fjrB zEHR6Tt*LqFYP}1pMMP+*iiGE~Cpf!}tMfa5-fPRqM6OuH(LY8!n3%sA@mz?B!ik2q zNvQ9XzG7SHA1d-00YfC?&g+#YoFAj}ubPw5wKcD6QWA<2GFLBn_p>0@Co+4;fu~$`(wxzF8d=u1GZ22?Q}E$Yc}7}KttFZ_PNLBCD#2L&j0gkD=5r*m&h37 zU)iFc%Xo9QI1mYMjnMTz`kvO<=*IDiSLS}l+fh8?qh?QR7X2-Cx@13&zp~>V-#;f# zEhvLwgUygYW}$oMXFv)|Ej$zuV7a6aN1V}L-u^+O{s{zEgxUb^q3`*%Y{fijUL;RR zAu@-as*XlPg!KNQ2v3BrMx_{_l5$h4_2rd9_P2L8l))W0@SI&IU;nk~DodUIi`WN5 zYEJ*s(oOD}?>GxugTpXt%9cmPHrCWBX6l@-B6;BU@(%?@;rf-MVV?!%&bM9r)*m)l zkQbq?BRoG2LG3jUci=S_MU5naea0#`IanREr@VRUGxl{m7RA{IK-UT3qG{(sc{gJB zU2LsrgyiRpX2l3(bPG2=qvOK=g3ghlGlYMcUSBc{L$3SQmwxi>;g5! zEYe<)f7jm-1Lvc{sSyiCt)8E-Ce+qFUQ|^r1AOXS>$om8q6vZg!bm$C8Khw*c5=r= zrU2G<;@Wcx6~Er&k03B|+dS)W?+NQ}mM_ZgO;^O&EJ5e}mtNu8*3nBImooW{FgCxz->2^?DU?ySkR*p~krmc6XG^N!^Iwp{_l67{k$87dmVgGC$ zcE0`fMae29BR{xYbi?wI%gNSBQ??D2D{b@95=XIK?ET6M342t(50xw?QQ%X=uV@FC+#~63F{2Rq*|39Pe7VAabrFa+^{`G8ogu$DkySM#c@}A6*RV7cl_|EqV zNsBz0X-A%mao{XtV~KJQ2nRd`t|K-4kWWAT`cRG2AB5?s{s0X$)e4^iLKd|*9T%N- z-1<6u=D;me_21h3>F0%kf;EUV0@QiY3~hyQ0F|71-fre8Zr>+dc#~q{ZNCDOT2vGg z?kz&qO~(WAx?_bNqbEtw`P}-8KN3=+en$M@ztqRsMI}P5HMf^bZ zsRd&S2nwp2yNJ}!>JOa1A|XR@34w{e0caFK2S*8*%tpp`9EDPk!|+81R3Sg!|4qA) z^8q&^-SQ9yw(Nms5_N*)McN^7Ltq!@fBq~_ot6!AFW>&;LB_&%=~LcN&J|Y>ObDmO zQ)2zYk@}FE{}z9g3q(`^x>wfLjzI~*N`bAe6Cc~zJ0Cn0SZv=W7F$tF` z3GA?irFvo(EhN1q8@WluD#|dEa1jY@46mZr%p``){ux)qAgByc>a1W z_P^Qf1aoNFN=zriiao(WA!Z%ubYo%nEf8$U5&IJvD`DIfR(*BX5 zK8<-IvmplzIQ(q4T{hEsmukP_w70j?4UfkQN=j~3CJf5C99)?@5Dc7R)Jc(VqZDWdRe$!Sl_Llv6|@c0UVED?ps-H(Z%7?lmI zz(_HdE3s%m%3BxC{+R{DL3Ev|Zwtwp)lb*;5g~uoKhXIke$k~yt};%MM?wA0WHzSl z*P6~GIEj4WgSq!$xcj}D3T&#OVJ2KW2++dDJ|es?UG{om(r@6PwJaV&vQK?;P78qt zjVp~ld*x2xZZ;ON)1gjM!=;6hY&Furo<1Eu?f(k(k^?kT1V64}=L3gBA43E`s%Iag218UJptt4RF@OoJ{BRe&`)wlHLT-w_UABZ5lP{^e4|i|NG(59k zP*;GSXiTNm*yfpuI{I}{>e&tj4_wI=bjCAfa>FX1jo?4x9XK_R@e6z4p4)B|b%KG2 zN8agXwnW62H#c?cB}}InLMBAsMIDZvpG9R#3m)av|D=LtI$T}b`|=X`SB3&i&%HOL zuylb;fuG7@xtoK@_TDZg$Fl}e&;UuSy}Jr4s0Qv45v%QqIK^6#v_CP%7Be0Jg>wWZ zns;i`;+9xVgKuEr#o>kvH6Xl>$rT)X3T{!@_Us$qd7k-BIBZ=inL%DJ$ji^4kH}U3 z-c7kg+-%>md&)Nrf&dofN;qB%DW|&Ahw_~-F;fiI>arNV5bIc0J*pyzQKNR#w*AFy z2;8Y$?d%9n8DWhvTY=_D0T;n4kP?2ma;0{BEp?6Cz$Uc` z_$ouM(HMAd4yG}()yhFX!ml?n%;=~^`=)39i*$0t){kR%GjoG2DynqE7O-%l1m&RP zl&Xjv;lloH48Ca*^v`QyH;I%@Cel1)pvlTN8ZJ(3m3VrYL5a>mo_Q8DgAbGo#c4tB z@zlX{EYFWxM3o|MQ}R>9xI$DHjP)xRKsY-;h*-&VPM)wuE2Lrwyu}g>*uK5FZHUvk*-F#r-0rzNmN z|4{ZefcG>3Y*I8(`rLtiCK~s=yw{_YxI_fKhJS@R8=B`scpDS$+>`3Gi@k{;pV* zIbHrv>;o7s6hN}cK&GP8R-M_QJ2aN#3ye}=o#>z6#+Q`&4j zmM{IG>|ZlxxT**Y2oqWEQnmmED*5iDT-q6XjClSMS4hnGKh(VkSe57Y?Yq<@8tc}? zSYwG|0TmmfXoT3ohEx@iSg?RJ5l{pnMU7FTL6KO&f>H!D2ndLn*hMTzQHt15sa8Ni z;Qr=XV4Ci||L2^0pL5r$@UIv$tF-+^^s>Z4iqz3 zZbCy7DQKH<9|06h^VPf@W)@2EbnjRRSxQqYqp9zqE;|m8)F|K*P!J|1Vx}Pd9XaFK zIrv8R(+93FCehsrEmB|7Az`cH*Yes1NcaAsr>f??OO_L5M6Pf7>J`{OU=toJxqCW} zocmI?9NS+a>U>qR(EB5$@;T_&|J0MIb_m(Q`A;G=Q${Zse@Wt<3fBGT(lz+lF(DPJ zUn2%jP4x0gfJrBccX`r8C}lP{g2SUgOZDBzGE7U#Ks*lRAuULqjmk#PC@r!7ldPBs z!9qU%q{m|#A4UYeC??9dJh`1?xt5o4e6R>#ZgtH~v(IZ4(;N9K zOE?1AvIa_I)!|E6CIt?--KbHcF0nJ#!-k?W*Ha>P(06~yfowXcGW@7ZD{E}rxNekB z|EfFB-&G-}sw=Z$g^lDJf5?tvY#)@!FDqY*8okZ1|D9b-U1{;ZHvz9r?C`qJ4Hu3) zAwL#gw`yYJz6GN5Ro<3e+Nui|tZC`LZJ`u;811Rm*DJ1h!@kLnx#7Ay?pWfF32(5^ zG29D$3d+e*(5>>sw)*w8czA5Y z!Ydtx3U z1KSf$*H3ouAxQ_OFZ>5H%Mv>RY$9Zq4hOg~saaB=HXO_Ewvq7ZF4lBvAC8*V zPnwPPIsz#vU)7Gkb$>wp6DG_80E4`3>)&fBVWaEzCsmede80LkF}R;T;K9}9e+<2x ziB{M&GX}x|hM<1rUuqWzM86?zOGOnmK2{K5Ccp)z&q0=Zbb3gew?(V(o%HWd3>Y`> z+=lB&Sbgb6Nf?R!2?JQs5tx&l1iNe|MJT7z0nbn|j9LuXB^q8S69e`v zwH-AQr%0b=IW8H)!XUgv%jCYdl;+f`cT$=U;Zdk_X+-s_`=V3jbQc~KP60EiEyYVN zth30AymkNkV=wB9zjZx>pI`e83yk|^U2WBUe0}qdjc_S2LCO`C?TMud$gDJ-^F4kS zxXf`6`kx8*>HE-JC>;RiD1sXN$3|zHw?fOH&s89pY$uT(R6#xy%8KOksB&@ZalZtc zwJr+|Ixl@oxTBOx!%LNp7r>)9$m|7;c3ba^p0A_T z_o(Dw^#Xodq@r@Gh7MoSsi~>?#N?y;?WTU*>)T!vYywsUjn&8+Gwhd3G3k9XMp+~+ z4O^yR_srvmQ#TH-vYD1NVoC4H8!4`qTW2NyG*dlz@rs$o#@AXEJ?PSXkz-Z$<3f*J zLmM?3RDV-t@eu8V+ZmN{4_%t|&$#S-`^8Cao=qr%`q<;g9|M;Ed~v={_wAE`we zKHnVb7jtqf#ZSd`ox;$ee=Qsq(40gxjggJg(kDp?h20=baQd3d@-DRoQPPPYqX^P& zTU%uqu9eB|IO_;=59yqEWeNY9E|y>n^yPP3ezEIJ>GQD*{S+n>EGsP4>MsAj-~%WC z$SMREM%jvlOKn5MqY+b{IJ$nUmoU1E3WPOmK`6GR^KzwMgP6@pUzLa6+`ld|NnwAX z^!Ztx7xh|wQ+p;DwrIU_@U)`~n=JIJm#Q%qw?GuRRJe)$zbVZb(yd%Rw@ zMJ5GphSMJJWxJkL78@TwJf2)dp>X+B-c_&f&vYRQ`<>bL%P)_MTB%zDB8asHpU%s0 zd`oF3r?w(f6>Bcu>jtZSm!)iRZ=DT#=#K-oIl8$md^tpZK6UQDQw9f+0K8E+lvNjLNwcsA!$ezee7|2FSj>yy-98 z&HXX55QknC0Wb5f=oLugb~7g`4o_N01BAkd4Z-{a9$(&vY2a3K(!k6%r=5$3#sy@; z1QB2wL4z0i89(|Zc>z&)X#9qq$J4L{Ufz$yC2pLR6aGXDs_&y@p4XBQ_x^j#WGBSsSIb2mT8K())uuw=u)?M zf=&xloJ6^RA;pIDhOm2HiL236u!EoHw4L?c$BK?W$TQ~^(7XdIQ?X5wL6Oo5g<2g> zL&b~{aE3%8P?raPd-p4Qz6_;ERoB(E5`rFn>X?6x&^IDcA-d%~Xk0I#+R??eHf0DJ z23#TzNO%TIrJLiLWhZ#77(@X`^IeAjeWzAbP$hWE@8njOX(9YoBVa2_f68V70dn(?gcEB*HW-f8)rdRaAI z4Eyq=XLCj4;J0kB2PGvXMFSN9Gyhe45hl~v$xL_4ljVz7UI?vQ4hu!dhqXt8UTYTK zA~vtQr$ixmZ)6<3;qBhaGnv5RkDN#a`S!#a%O^xFed!8T9(K5c!e+Sn!nbS*JaAzPgGGV#n2J76fyAzn4rP&+l9JD{c$9U9CpVGGhO-!F1eq=C_eZKx2* zRkG|^f5G{u>r%;pNmF)@UPY(aHA%zlupw(tTJU0i6=?s0g6CFWhA(BwxXCCu)L>3o znUi~LfuEpZGMC6zI4~Rb| z0B7UK3u%g;yzJRsP3_{6AzAh~Cj~QGy!K_d#-hh&O^_C;6485$OH%9GCBEjfr$I`< z9cHoZdcr$1K!w?jL5qdT7iqIw%z3k5YTvhHG<*khD)% znqb5LPn*$6f#HyylVevba)japQP{M>_bgYwt<5^TL!js_^qcl*{(=RWRqG4p4cQ52>^?g*``)gR z*2x?3gp1DuSKOM#6qC_Z4%*XHq1o{uzx-wOm=oc%doOeC?PA7pA2~6|xqa;RmnFI8 zEiW~Y{h=yry{#f=hQ+xD8v13GPCFWZ>sFpZ`@zhweNSfg3r#cV(js6M5m8=uwwV;! zo2jw@gRT!jMd&UGcz$!#Wipq_a6^x+)`SR?NA#9n=>({T(NzTd1`KmRL zR84<{z|`kLH}B1 zUe83COK@o}r#PL9x0ypjr1xWkt-Vb7Ny@%LdZ z+WyLhic{C+!u0|L>jbP`cxBhm-DMgoz&bkWN!znz=(muy;5v)(EW#niN~Ej40FpR; zBOckMV!W;o5lYcahO$Ux1~L|PkBlmNsHus|N7`)L8T}gOM9kgPqj|h;K*%gjs|O7Z zv^N53V~OyDyV7iNtx5lgd}osB!>{Fr2c)n~WXb_~e!De$$sBEHAi;jt3wF5UR-75g z=_ML6nFJ$l5;P|~VGD^D|87T4m{dFNmq`6#YFd`W4#8?iauz^;g0fge2n$t2`ocu2 z1_+g@3CaTsM~lfDJAT()mGiA{pQY<p@*z*~uP0bw`80?zyxFiS9nA%iGd5;VN-@vcJ+q-cY0sWj z6^qHSq&||jg|uaA*ZD|pQ`{w5S14@Kq7&=ww;#6g;$tcae$4>Inq#JH21 z*_OF>JBB*#1K7j@`6G$WSHw?+S4Y*;#g!oGl4VU{#OaACo4bw%mD=1sMEGtBZwvpz zjq&nt^77s}wl+8C-y76rXnY+-?fJ~l3{|vo5u&8`%m<7~!++QqF%B6BZY3HZw-hM+ zUE{A+m|;e3uPW%QP0a$OTaUB8Mp3!KccA~MdsLiD| zpM56O7D<{v32jiId0RJQ1eXvrvC)HR>RkIsPsu3kyON~~{}%FuIKA9V?ke;}Mz$^V zYm_?igx5z3laEx1accd4o4xmY+?dE1=UUGaiX*~I?F`dpF_tX6c16Kh|TqFs>D**20n8|f^VjRp5QuS7Wj)&1;)40Q=rgC(`Xh%4EPV{fTI{N%H%K2!T(=uH?&vgK zzJa{9-kIBW&E29e!bK7&C4*p;xDR;+dy41@nugecMn~tqd8l2G85Ihu)8};mR1&TP zM5FE$KWh58HNi*`&>Hd6(GKaz5H%uiF{EAH!Qn~4u%Vy_#zS=*C>#s#zGWYT?T%1-da+Nq+-Mfp`?lN(fk8iL}t2` z?TZ&LA`6*kkzrK6c;NQ=1Gg_p$~c&|u%Nv{&rU)Lg%%)z&Dq!O6oy$&t3FcPNx%R2 zMI@=@>HaS{7;M4BQTXtL;_eQCgd#>wUIlJ+1lxdCPd&k*7{=4%YUGE*IbIprQ zBF4SH7N~w=QjVcW3hN(5)O?Y)qwg1+n4HyL_r&oVGLEo}+Gx&B6$JooKJ#81{JNW) zXLOjd`#XzGF)`XxUG+pVFx8M8-tDYVumYHmFr-0i_P z1)G&?cvjEE>W{MwQ)_#D=2gbC8Rj)e=Rfv%PI#sU@Xb`lmzN)(5 z&pUe8VmJKzUjW1Z%YOVD9WjyNjIa%iUQ7!g8ie8AlL9Nvnl&r1FywHnTz_f6{UD4IKFB7Lo~pJhW!E*tIr8TXAQW*6SSsJ<2S7%gdvFrs9Ele5YvOC3-9m z?%msmT3;vr)6{w&JlAU$cWaB2>C_XVpN7OdGuTdYD8is=&=aPzN6kI^qd~@pil9n* zHxhM2aqOeA7Q;F50my%0G$X{_-lZ%yl&gq)VCLoQIVhz4VK14&h~jK=jvE9|aV3{Q ztc(~HeKhTA2OEFHw7*^nbm@vO;Aml-a7K00)YR0%?nb=xpouUdL)HX=+JG33bshDjL0m__@&|stUOJ9Dyes+R;zA6`L9zQkJve|A+g?GWD zygW5rnGEclX|d|`czF!?CQ#ty* z$DlfH_ zCT11H0R?ne5P2)yj)U=Blx~vzw@;Bhj4SP?r~9vZ^KAUQ2N!-GM<%s_r_>>_s@P#8 zO@+*|K`>PI^K8@#ej)F=TUcm2*f#yLoPYCY#V$RY-V=mvIazJe2?zai0Kf)chNG5k zD-^&1z=QiqpVu(eHtdNO?fya3fOfx3>aia>%{dC>ruyfEbK>zv{nuPj@OdD*YYrVc zbe$7^9!|gG@P1l%{$5zj?Sa5GwwMFAT{EYx&jzZt4h=qP+Mk}(29ki&H<=HQU*pI7 zQGlG2!SiFrjA=^&bu2znzQ{O|_YFL&cF^+s!zs0nneFoo7_S}SeGRLKQK(Bi=vTUW z(oLK{X8iaLK;h$n)iyF^G5ZzaJjtV@A|U#Qb?XMez_cT6^qpRgx}rT-BlF<~e0@q0 z?_wT4Yk+-X6%)W?a))qJNl|RGNwe3)$H&7p9<(2R>o^GP131cCJvzw4ZpZJFSDqu= zZW?)OiH!4V%Wx~FikFMCJWcYlUG~4QTO6Kql_sCftJkmF@he(QPgjpvX_t#uW8lo_ zC5z=|IzPH{F0r~)^K}2}a;@J1AU4WPdCJr(i2fU7gwo~8D%6!5bl==t0$BHAqcyy!ii332j%)8qN`jA;F68f$ehmwxP>TW^^ zl(p(7G5CaixQGeFQ#;QC7(0hvVk6hyL59xF;ew7%-@w++?6e6<@LAU-EM?7S@ym;! zow&Z@q&#PS-Y$vO@;FlRXAibaZI8*yI0}gk;+5wsva~ z1&nn~_pD)+8Ba8to$fE9viL_YY%4Lo9IU*T$qV?_?amR`H$n}#CCvEiaW1y;&OUS6 zp2I3_0}u#PdQUUEWgz=^NqP0lOi$>=myj9`rYo_LrgAD2(!MW_S3le2#Y)9Za_e++ z#x~75vHW`Y!{@g<3sd!+%=)IAdgkfVr~QG8H*)f(L|13VR{& ztvk<dlJ4f}hWRw2lh>v*yb`u7Y(QL%-AeYNJhaPGpjd{6&yuLyLbXYTN1J8j0K;q4?J_VATxKo>FkJl8Gvt&>&2u})KtMNWgV~T z6Ic9oBe<6)K0=MKJnpD;3I&P7_FG&0baYX8ZLj2U?qpVIAlpJb_(_|`Znp|t$$QzA zuc&^b^itpfm~h9EvTGm!O2Y-}Z8Gd^AwhBgb*~yYvkQs7FrLT&h3+V>(W5qvUQyW> zEE|-ylxHILsAAg3WJQgv`^%EWIz@PfOq06?P28>+a7YSRA;e2n;`QouXHjh7@b(qI zx@AsV@jzKp#r%W_diw>8fJ0=JLBSp)B^OF3a)!y?B6!xavjPJxvkT9@SXHYZ? z6u%k7V2LW$rC1u01-xV>CiQQcfRNQ5|ri_ynQ)11byP{cur zx6W{0@u+RE%_9qaNvef|Kp~}^&YIq)O&bk>4EY5aDe*aW)a1VO>AnfO%91^RDkY!k z&hbp>#l5nRe6scJM}4Gihc88Q4rHsAUgiF>V&m=3;?u&aydn1!bkbtYoL)>Q z=D|mmzGiakU@8+~&5CS`FE``fDk%u4WUZu0!1Wx2wMdESyS(oJ7$M>T$h#Ty>7_i1 zqnGa=zA&tE2i&Bp`<-j9i3uMu*Ef?n7lA3~EpOXyP8|bvR<3t+F`Q~6@b-m^Dyy9}K3I@`J`5HTj zTj`yLEj_b&eg~KSl68@RpW`VPm36!L3jo^UO=X3|?%sz0z;~h7Q_S!o$dq&N05&?A}SV+(prqrLiaXJ-T6)n~MXRokT=j zkNP*g@8@6!7W4abIqqFrbRL<#DE;vEpZ)zEY$xjL58$NQKpY~ceQkN1GqWgq=TN7) z>&_Q(8GVlCly=K$wtw!U*D2#J0P^0C&SRbKrzRN(H+1`Xmjnr6*p^9@)ky8EfFy1& zpG-1!EFSKN`QqBPI0G6Oqh^L!6X8lp>ut01BLjaN->&BC_lYW9SB zRVBw3S~-w$w&N5WD7!hUf^FCq_3N(*i6>Wm|3<5(x;&AGD{aJ0XG?Y0cGw*m;kSD? z@wu8Qg_%)qh3Uy<&R#`F&#QYfb918+vqX^|-z=Ma3Xpj}^YC1|l`)iPe)*0$G|=xP<=O4zv5fCC#>Ht)KXNKO0b4xDxGXIwayIH#;Qnw@PqN zds&9ga5x*{3Ot;^}WeKPjYS|>Q z?ZunG<@EZEo@8f2h@i){WTm|wi;)k!ZRMsN4Dk1rk)#lla`G#G^7M~t`W9qs5p=UZtw+&%w@TO&A-w6q77YwA-LAF-&W z2-k9cI4S=8-OL}JJ@2>6{Q8Uhh$j&|8v&YbuXyyieu`8CAmTREQF-Y(OtlyONOT@; zEs^*D%tc32O8Ny2_~MJ-?Nh&I!Q;QPQ2X~686oa_606;=t6G-Y9=lzce>V@0n>k#a zS&*(`LW+Y|rN!sygG&ggaAX{n(2hh4$_>w zX9V@m4A)9-c$nNTi<8%5j|_|$dugSY2ai;XSq9?2ZRZKQp>_NAHg4erUyWxo@44fp zl|o`(d}Re2AqCeb%aWB7AoJ?0mrmDkzjE?tY|qjhUu$kT zpQbgFw^@r>SIaXiUloooLXLJbO$LX7`JFAX@DmGrYQohgzjCdz{Q;=K6ODCi_hKi{ z&n1t9I%@DTcDA(@X{+Nj^Hch>EG;LV`1*LY?bp^9lajW8!DBGK&L!hugI>uInsafw z-^c$4R^lt4k1L2ToG2(*?x*9_<7<8l`KfA~i&JD_xo2@Rx5ak835m~buF&V_6xPCf zuvM1j%DW#bqNc$S2KG^3b~l~oSyi5<*L5Bn$Y?)NrIW31d6~4cOj0o5Yjkv*Udmu+ zwu2A(EMw?Q3aaT3rY5X(1IJsbmhS5|Ag#lfR(@_L?Lazm1~1B(+Is2!^)~Lymv4;;{)x0*XgQl<=Hn$`x;y6oz%I#kjuX5 z>9}%`dd0|NUqo~bcLUrB1qD+ZRYZT5ob2;u$n?}R)O|fR4#bU9lt?nGl4HVp;C2Sn zOe-1uZCdiQHbWzd3bmAH)|92Z2SXYr!q16`vaC5byCUzCasop<;8>hALu4`FKb}*Z zIqPWJUCbXN0S*rEr`a!e77!+Pf4S0(96dVP_Qi$U8%RtF*lw=fvL$T;cMIY8(@v;K zDS3jaz){;uidS_PD}0$m%O*XKhW^?fDsE8P;meWOVVF^4K_W^w$U!odgU!^lR+UYg zH;-QZhFz%s>_y!67mG=Ug^3Gi7nIm<`1ukof3NCTyO;jm#lDfM+%@+|WfXTI^Wl|* zljne!vc7%t>#8=NJMGb~&ULYuLGmQQH4fW5o7Fp&e4J}RK5kb&>s4X-Vbi0s(y>j) zi&>2BXkW56SKO$qI^DTCK#XZRuX;6Soy(dzH^XC`y0NZO$;%H@COpV|j?tiK{)&5W@0R#qR5SXp*hoag04mY%E>v7Bvw$1eyC%mw&|!_`nemfn_3 z=H$?(ACNDuR&>p!uOQ}Me5ufFJEVCnD3|2R928r3?+(M6kqv6P*h`cF{FFRePgoTd ztQHx-svj5J@>tt1#Mb=L7kSzd$xJKSu%88%P)03iD$XQg~ zVl<(HCon`XT!L3GJ=CW6)X94sDw+HUC}Aa&g@tSK{4VhvFi%7JNnX@NCtFWPsfQ4%x zr)N)}7jzi0{D`m~Jh6EZov+xzhO+qsXZMfp10>r1OZQ`9OT#u7N|ZZx52Y-d#e7lI zFE1PTM_Ms@S?C=QYhxq{ku@iuFFPCqnXH2)!QuDO|6gaLCaigNURQkZlp&Jk zp#^gyewCn~$^(Y4Ex(<~iE)b)$ck^w-RwQ`q*tbi;UY4v`A zD(xz9_LDOk`;m9=x*-@)Ocy(mcxaJRRMwrB?bJ{Uj2xRv$HW&PuO2F zYCiO>qic2?v0tEPHgG9I9i1T2jwVsPSNMU-@Cp(l%3 zl;re+v2gjvDv#X7B*F~5K(v232*=R(FTJ^9B#b;-^MXw0*hcMeZ}vgJDvtI2)nze> z5}QrHE?$D1nA!9O2Y+3bx0^Ri|SMkz2_xpOo$Kz@2%@8#E~E>-{?{( zPm(Y6vpRWLj%-<(AZNv8PFZ#_G7L-(djY(1p^l1LPbR8b_@~VNWLuulW;mgPWPPy$ zIb30AX@-ok1Hp2?Gd3?(i6BlQz~`av^D& z3C0(;Vx`Pj5-PH=rLMzxD?Q&jnkoO${8Z}?>R1tf>rkKklxI%A|MJ5Iic?|Vy%?lW z#B{oH74}{8Z#;TqtAzgIFbLYPc#QU*);KD;52qn1cwbVI!Fc!o108TffX&`4PCt$X zcCWi?SAnGbjZEn~oOLkiyIb z(2boPJEn#|2(n6Cg-%{(T^^Fn$h03a8Yhou$~PL?Qpu{@3SN}iw_5r7v^IOm zfENMeDR!`G`?2{yf~>%tSc^ zx*(@NfjAZP*d}8kq-{dX(RlP(8IDN8QmrO2vrnPk7xFCTlUqSbI0Iz5fEazI8VY}h z5-?S$up}cWsx2Au93_2h-q&|UXR_EHTY`JEfF3(@F{Oe`dKTM_;)P7(pe-OAT;RkV zu+POlS~Qsi{^(VhUPzbOZu<*OJb@o=YuDB4=c(mti#gQd?*B9#okqBdBX%oHyXk0w zbtr;q%R=`L7XA3wd0f0M1&NU2IM>AZi8Z{4DSUxtr7vC>gX^bq#TFL8-(>yLVHg@R zA42Z;#7Q>#Bo41__%6@1&!v1NdAi}B%AqO)Q{4&1rn6=pCZ1)M4%$8mI!{!N{V^*R zpi9h{E>_p4mek7tO|y&jThdaC`%dW$LJkaKrl1R4$4h(XSCkU zlKO`;3UNFZ2@NozMHWp#8F7ntVpzx+xke$nf)?`N4!?|+CX28F0D*5sVKak6wm98L z)^w7%KCqmAXAq!5dCcgY05R0Fca3QPvJZry4USZoF4jy2t-ewR1BORX_!dmF1q`wEec zb*%jcJXN&{?%jJBXU6SE-o+97UcXt##W#>%gq-LUVG#_$O^dM7)i(km6F|H$7d^0e zAhJFsE=mz5%`#1|*Xtvh=H)%}5oNSM{Q`pu80%h%uLYo#43cuq(k;6=59Dbxn4dgl zF>~adV1WgetX&@tY0i0<`?L&O|B@#>(@|CU{2^kPm+=ry8U<5Ug{_@+Y46EURcQQ7 z+nyq(2XqL{N-9!rp8_db1mLM<(vrKLODEC=$}Kx2Io*sxhg4QHZ-$6#a!O~0z4g&~ERmD05XqrJ zS-+&&$rkz5b|nb03vQ>6(bM!Ew88(cs*|UyuIwIuh+1nl-m+;%+6u*yN5}L|s{5Bz z{*?e7U7C>@?)6MY&7mgVHlvCEQ$LfpMA?OCsD@U3Cys+R?`t_G-_v@Uyg2*#Q5gvt zKZGqJC~kTu6~!&<;V+_GmRSYVuA!X6(GEYYT(JTqY$CCD2NPyGt$5H9LZ4KKf@nhY z=9J94+2HWmFV(JA&h5D?IX-?pKf9IY6s zQYy2VmTmleqNRjl;psx972Bt`ip^6l%bU%LZ3P?dkqTi1+1+F7ncp0BtbtN1( z${T~}t7|Q~rf22xY_&LN2qHtA7N!nc_iR9v!JXLs51+lM7tqgXK-1HXt}Qc0JU!Jw z$=U2Py-VCk6e>x&mKJtd=uBY_nL12<#B z5V<2%wBPayD46At4UJp%%I@?3Kc3xtGO)Mev;Uhpg8v_1yNx&qLAqU(ecUOp%z_rI zG)p*xWn2uyms|^*oxa94m#N4Y6^kg6sWe*C$$U#Y)H1!JF5t{A^(&#wk2>;y&bGFx z=uhbMtEFoOsgaLi9os(vJ4}I4Vm;en{tt~oOfdurq#u_GV6j1 z0|BqiZ29uzbfp8u=%T}rC61@AlQq=TY8ebC3d9A$%y9nv2hA!=VAzaFq_r%)a-U_O zbI3xnN(byrj>86iiRY>?Bna$lSB_mnCm|auU&oJP=qUxb0FJ9G7XDS2BM0%Nf)}1(C=-L z{cpmNG?rsFVx5P>XHh2q!0^)6!YeHK>eZ{^Q+Wgv!%nLtP3ODT!=35vo6bT<3=q&& zx;(Ch0I%ql4|3zSHM*}Rg(*d3)ZfX}QH5JnV{MD&lp(l}{hQ{L6W!V1E zN6!%?9J83h@I~k`h!>1)y5xda#pkic1VvVxJqt!&)>)PB9&dWQb@sqEE`1sL!u^Cm zq2clD7mEG-qvtzqfnjMGkA4;4L~tD$8w_Bo>8ATnZNRQo(=y&EH0xkr4&YIMVovxk zmMgih0t877ho(9vX(D_40`$G4`tfllsSI`iQyDW*}|ko2}6>2aKa zVyjLYu7cqp&@^SbT}JiId7Exkcg98n<4ZcFvr#026!&$p`kPcRd2&aU=9F(=wyV>H z_}JLq*qHlB>q`tPWatl;@t3lDpmHbWZ5{V`5^+3r-`FOYwElWo@AmwGPIt`}z0Lxm zhz^LPkn}?xY6{)jEB#ai^#HRt>xY{Y4^nV(xAMwna1?T_0+r@EdI8YgpzENitD9J$ z-VzT(iss%UN6tpjlqzGr$w}4uPcYi0uC&-W?7gj80$QR0iqM)};Kl7xkS ziFh9?^lLbM%UB5jHUo+IbfsW!b#$GDECTRk3OycE`ZF?F2!|1A2Lr;3fQlr!ZSPw5 z4gD#fccl;!37G~3rZoIGsYTJes;WZYhfHc2Y`SsxmFtyaZ zqZ4Ac9G?mxT2+Fj{n4uULT!P3>T=uu5=;)`oqL?6yBCEplh zfr_H(>0VKZkW1{AeMx!&+gyZEtvWB*F{uZFz8>g<^8j)+qq#SbaYh=|CS z(h5Y3F?1P!{0P{McPo@)^tBJ+Zg6YVYg^|FGV%@K?8Vlq>OOVkl-<~cINIXQlR*_G z2D3tXgFux5qla=fg6@O!SLVuV_Es0Gh^=_;%HXA1SsU!wAYfC_C3$(Pe<43|5o>=q zx=WQ}Gyd46zH_aW!QX{)|Ah|f&$_yQ^W)wIXxJ$3hSt>g9i^@;!vTr ztz{u%EwaA0lCBvpW@XDrb0P>^YozcD+tUP~Gh$TY3j61}^asJjuYTpLyj_lkN~;Xt zA*g@FK>~aYPPHL?5E-hD)OKKujJgp^cY2XDsjqya8mi%FtNcZ!HkQ3dXVo0S>h`Jy zS9S%ntffG2o#{aRM7zJ(UU`YB3sj*rXty+1`7R9Uk+Df)D+w9EptusozYNV|2<6wS z%l$zX+6`J@VoY%4HMFzDQa#`Av2g}`Vkqu4S{BMS0tNAyL=d!mOg?13gkX9m%WM9G z)r3ZRDBq;xPc20N{XTiAYn3!zII4w6799;lptSOEp$Q?Bjx*J`E==lS+^myo&Hkj6 zO@{Coj&fp5JSLX7;u~+7MTt*zP!pJ+2j*n5PW2U9D^ajx6o%L%_Uh6_513gLJJv_1 zW4(t{;HFLH#40cqvU)dBbh>6~Bc1RuIHpX}4gFeP7(SiRKNu@uAY+UzMsfAnQtA(Y zFDF)}{Qwdsagw6^)&y4Mgr)ut1)Hn23|JbhvOfy}$47(Fk1b9@EX zj%c2z*gRN}67OX-wpWW&SCj%$hojRkStg%VNmeggau;ub+E?>455nvIeW>E!EPvGx{Z)nf z-~V{_JzAYuPxnLPj~TU$o#&WVkF06XVnmlVZTworQ0d*Q*wA*szB3i%nBzMVyi3hS z*V%?#5*uogWY~<5)Wm(4(3TE@DFXafRl2Y4G(c{0Hu?=z(@<8QR9BXXyb;};?C2!} zx7(C-;TzOma7^4ku}=q>MLA0e=WvFiTYYl^+o*^Lht-9>`t&hj=hzL?){gl-%gjvq zz->1cC!WNP{#a$3wDU`bh$Q@$wc_~MT4x-?^|XBi#jD+ktD|QS#-)d~!reWy4!t6J zr9p8HV$g#rO)O1kT~#1IH#yC!(xf? zu+sIZ4nVN`13>UL65Dsq3mFSi>k&&N$nC$?irYiXTn1GjD@u^2=$f^7+%UY1zZWwQ z^5uy+ei!F2eLUjD*^&jVS4KPDtRkhpp{!PH*1<+mxdoU^U>*Sd6+}+mAvWm5?`q6_ z!4FGe*aOl$fo`HtoZFLdTI)8TgCMo~+q38+iV-qr&566!Sr~qahdsxJ^+y~~cOEJW zm(*6`X=AVQw4t`QSUl%oL*35TK+rTnr@h5s}|GBz|Jg zi{h!zsLTnHZ%v=xwp*U+$X8!S0P$}152^WPQgHro*Q~C}Lrbq%d6iwE7O|RQRzJ%i zng2(|gBsfSZ%5R=?AUd9jdX>0AHS2GW!d?i8tBfA6{)?kKagHLp{F>rNs}hx5l4Ef z6RbLDy)%=7zd37Pj+Yh9AaU?)V&d z8o9hUa-jXaR8;Gd0)h14nMD;Uk+cPTnCKw{!IdSk+|VyKyV1#~ z+~_WoBL&Wv!HY<*vK_NP9rMHEOH#<6)h-T+@gN{^*et06exP@gF|d4|QqpaIPk?5{ zn;m~Sv9I)Nc)V*y{m_?bt|-WrS!y?`xtf{Ev`J&gw~+iN0Ert>)^zVpU|?N~5T&p8 zRn=$$e5x#s)g%GxHU4P)jI(?C?y{6bFu**f%O&AsZ!z zsyq#NyTj51kDps?R{gxU&8RLCY%Z$?a=r2U_2NA5tjU{L_a{@5Rg?6&T5pu!&)69RF+ zFp2?New)~;uWi89o^3=*$;;+vSWh(m#7U8}&AJS?d1G`LfWXFc2Uo${l3p^LGK-xm z=L^XhahC>f+@8E3OB^rLoax7>eo~wJq}Jz1@gXkYJFtg2w*NS|g)}HUQE52Sb;-wW z#^(SCk-iV&<{Ve9JK80XsdY@|jmm-FXEAv^=w#KYty;t-Wp1LVW4T?{fKt zFSp`t8d}>b-mU938{a4tF*5EG=kM^Rs-H9yfk^t!k&;Aga|yx zUwQ1gr}rBu0!}J%2zK0O;==tOPfqn8hN&QVZvT7t<=4$stI}~IXBU=aiq^kBQTP5) za3B(p{f&AXT0D(+FMKvM;k0=E7>0#(ys*&Px;HmRI0K>?7s?w14INvFTZRq)6;v-M zZM}qiMD81q%-aI?|dkoO|4ge2Ct;2FTKyIg6kP3m(h~CI;r(ot zDMRZkei{=%tPfHD<3RR#_klbr!T7G;ZRUGhd6xQOBQblfC3Q{do$p!{;8mMSDIg9%Ym0(k4#{4H5EX!al%5<+|)_6YsBtG(Lh- z$65-wA+Sass43%m=OA4y{y{0>qDE;X8w{$LOn=ZBR1s=BZp z1|L3$veGN63RaCol1}cAyK=CEpE>a>S!0RQyHm!kv2`AtGW;Fthnq>T@50@BVveokLiy19AHt{!Y<%!>K#=hP@d%I^dx*%t$0x*UOQ}o=u+Vg z(&%3tV@X+xE_&A99XypZNFrI5-!gJJ7elb~tmyG#XBw2ycE16ISGFrit7g<$seN-PV zPw#w1mBJEN&Ppb6a%g*rvB84X(5E8kM3HIGE zX)8HMnBvp)ij_qDM?Vacv1DNupnl`fsWabGi-z^4P+pk^m%UCgr^bT{6x#PbAt}@EjLd=W(onNm^aHbFw+y?d%JCJ7DW<{09)#iyhW#NCrf3^>Z^rgs@EAA~a_5_> zu8I;n(O~0dHzy~|lqRlI`n}8F7@p)$AwS~JbYyakSg8t~97M#mN(9ygq5rD=eQ%ur zqi^1DIu&ojP}q3{%A;HLS*fjk8$aOSJWK^EePX-%?U~lM^QE213$&IF z(zmj6bM39Snt$a^Dd!a!jyD~;Ic9nvxwXRUCl3!ITFKo+9#aamTR?v+69;i3Nf5hK zrb%ec;55~XI`Su5<>B?3+Ixn7XqF#Z43re((dCKClK)4CfK+cRn7AYn-eBdk%ypQH zfnDWC7(@nHs&~Aw7G#{>h0LiE^F>kU@W|slUjHh3EU~N=sxG-CeBSSN9BxOz&uksP z(^OTtyZprTw7UzM$;d5AEfplAej)1D4vZ^#EPg03E@W1n;Qxp}!-K2j^xETtAQcI=}{ zGew_=ai_n;A{oPm#;bQ!A{1K4v`Ddr2;+yo!Zd!YlsR`Nl#v*s+0c8A+?p8m z5!T6CJc=~&6Q<0hO>N;L6%{Q@5q$~!F{+Jn-RgNt<1{``vW)`=giu;Q9l5TWd5U{- zo+Cd9gFIjbwMLY9VL1?UGBRQo{Kz?>W}>c~q)oLXj3%!2=8!h?0oFv}hAK6m-Hj!s z$;MBWwYQ$9IkZ%;w%P)@b>>50Cecr)32VfaGn=lfaL#3Nx{%dF@Mf_tVXna2vic~nWh6*##by%uj{vOkrf(^}O=GF)jd&noJcF5}{zoV_ zWrU^p4T7DrT-~;3ti@GQ8T<3-pa*SI*IN5VLOUm#Z|o{)&DeOJncPOjG%Tv^&-}HY z`*MwV5J=D!XLfM#uqt>iH&}-2Xe$+N^QT)5uH4JOYRB*pRF7GChPr*T7aIzHzy3nvpZ_=5JmRUh>xLOM3Dv%Tyv zw8NFkgx(9Dlumzb+C)yGPTEbXE#o~25TaQW@)RJV54oKc;)V-zkD9#tR)y>b%>8fL zI^7q;Dw2v!4CT;WX5LQxPh8&EepEMFK}O%4=q~aBNK_%~W-4!)Uhn@{!p~Uz&Xn@~ zyj(S`Ag|4%f*%>Ytkzw&qjdlC!fQ%bPk$S+vmU!szYO(_gCW}yg&`?v=#@VLXirjA zFA`ar7-o<9)g=HypQvkDCxe7fFR375E<5;R-QNU+hmeyw-W?@c9x%4R@T<%<+_q2o zHTg%7Eo-M?!-j<-0`EjrH_8xu2abV=ZNI<$p^2<%58MNedDT=8%!ogJ{6hZ?JNt34 zDqr4l2aUQt5T_s-i~}>=h}R%@b<2+*ahV)ge+5bVju2&ApFi=|2_u}Uex3gc2~KVF z+7^|Bs-nX@km}5wC=TasFLJ%-2b-{$m9Kz)K}KD4QNeQ1O9CuX&F&)pm9;3!9-03q zb9_Zb&6yE5vq^Z9SxpYtIo&JY#Jj*aP_LSplP-7;=}vmMCrt&V`v87A(%b_e{9<$B zPYCzBX>S3`U+7ogWIF$Pc|oLVv<`1%lc4_LbGm@2PF&ZOk=ThZmQQzxCBpenN;Wk= zPf7ilcCt^}rJ(x-VoLBAZ1oBpOcj-(HEkXyQhJP2ar@j&WAT*O6FIuM$0KofRQ>%Ob{)VK9j;`$-(cAr-!39pURd;ib z+)aj|Ze*$$iAH2{*F@%K;+eb{*8!gcXmUj5muB8uvGp`%3vu7lK4bjZl1WFuv+%e5 z#mN)Uj0mL zE0wQadktg{mgHEFi-liN?Lqz~C=#Fv?+G!661BAw@DYUs|2MQdTerpy%}shM=V^(l zHc?JEU_OXJ4uB*-&aJ7AAwpV(jjaRR4YOj+toOH>z5FY#Dg&~6smRAE$c)JhINwEA zXyUd}b!lWs?xyX#CVE!7iWva8VPq8iwOJs|mo@5=L%rT1gGa%>qYpn(Et6TDz>sEl zs}8&i*)AD^JxUrAvAY7(gR`KyO14j!(^ifynoJMw-rWoAi-ddM?^irQiQI;x)hefNqqkV@D}GgqppAHl^PWP7pBt2JN|^Lo9fh+HHu3{ch|>JeXY+6 z&&8^*xW=oh&`M+0DGEo7H}-z}ZGGUY#b|dVMGE$Ok03`1^Jf(1tuED_ej%p7Kw?N9 zN22gsZAIE&6{Q3EfSo^?1PzT z{ZXf*kx~;W7mq56fhOJcA%&ZwJQ?g&?a{1le?71`$zO4mQP20wU;6JmlX`vcIJvLo zW960VL_1VdCCYjq((V#f`h+&Mqy)eVVrL5r`?@6R$S^Z2CjHX?EAEZ#D#82Vs+%(q zdK>xI=}p|I)J}fim6#tL{|U{q?9EI|@$i-?lxoBWGgH&7#C`o)qkVR;p5a1G*#3{M zWx>ykDftr@%;lH==@0^MW6grbinQdvwINe=Nn8s){c{`AP@PV*%cZ=4O4Fk2XXrF) zKX8BjMdvQcBgF73{F)%+AHUoYbTe}G+wf&@XJ5GTR`QSkL`-vB|IX?q+wQ;ivG2sT zD(xhZBIwwTMr6Z!w`%9Iz>2YjeI%K@2n9v|o>~pFIfWudi@IGbVW3rr>oSZ0J5Rwo zp~FgqB8?U*3Y1|83wMG}*H;9nhM4%8eX^IY)hi3=3+6^BNRZe9z}5hSOyTG>D3+`U zP)+Ip(ZY*0u@oXQ`|V}Y<5wRx`D_s*Cj`DnXbO8r-4k07Y3?=H)Rd;yY9R)h%ybbK z`G9*gq-3-OuH$5{TQe5|qXJ(avt|Bh3K*E0{-LS<0)bj~Rxvcrrym;pmY$*T{!!WC z(hk%a^-aptHK-3(zOS9fd*DS^l*vDEO0h!<5q5ZFAn4N=KQ z6W?WeuMs+RG5yEleI*(8a#N&3ujgyBu$N)`+fNx(bnbR5BpO zZ8v6Ov-i&Nk|u|oP5xf)um{(fiQztl#eS*QV9o(hk{E31F0}8iU4KjWD!O@81pG3h zSxO-p4<)T&L@rZ&1c^b$k)LL6l|~vhRgh~rmufqBPCxL?o756^J>OSw9IzVoji|l3 z4=I{^_1<}o68BvfqaZf$LSF|E|=e6|!Fgwb>n$YL!F z@p2L0M}#JJo;}`aVV}gvr@Knkh;o93dRUK9Y;eQqKlo!E>NIadNTT6S9E6~}A`&*2 zcVlHcuXbOsHC#S_AEEngVqQ9l81f$Ot@cJ0F^=s#9$w7LSD!p%^wqUnfvNg`CDxi2 zj$R=w7ZB@Y-H#Jc_40o2td`pRlOOxbD2~BQYv9jf z>O;r*bFfn0iP9bK&+QHMm3v?|gr@6ogVjQPr=3reb|+s=oXIfX+HE;y_a9@#_!JX{ ze0uAwj(D~|`i@&^I%x0c<1vo(yRtqa@pHI7`0ulH$!_Ku@FaG_1%otWJ^H(*u;$Iv;T=1r* zW~yF7KkL|8KaQO->$gc4)a2Q&O7A!;5ct9=+Ay8LzYEMQn~q55A0Te7&i|pH|U*6=D8xv)#oQnnF1B| zs3r-zxtsC}%7vH&q<`?7T2GcV#`a-!Bh7=aihU6`!v=qe=2=hp3L-zOJ6CZ%#x{10 znwnZ(r=E&e~!i!o;d_ z*owlqB+N@yjDEv!*iRSd&;63~Al%!FiZ!pnx)<($vw>(YFHDw>Y}M2)NLi zdNs=|!_sXxLYs&v6V<1~D*JJ7w+D7Zc8b#zC}%IWt*A(r<^mO%iwh22jn-LvMyxQB zr$xaR9ysgm@9yAt;n*Epnr9$%9=Lh%K#j3=0TBAy;S*%}XU?1%=t*Nogqt8&zt52& zr9$)sP%c1#BX>%gsYD)IOpCQvO|E>>PrG7pK=u;0{B8+Ufetq>>?Y@T&-GB6v z(8l>rFX8U`4Lb;#ryAF?#bWz^02_Vr+mjG>R#a6Jn#7My0ciJnDwV|B5i7EC0y&N59{=)d4Li!ju)Ek zCD>I2CrQ9Gif`b0umZcq8KSFSxfA`J-z_h+{i!eWIGG%@`p2ohvSBRCh2dZV^uu-W zm+3~*$dcTKW=O23B<9GwGcywL3d>n`V{#ll-_J9}979xjo*>9+m&fvEwHIv@FV;DS zHSv#vS1Qv;#qQ1CALwWJVe&vRPPDGS0y^`lQ>WC^=0we;rYbIktz%k13AO569h+$Y z>(=Meni60Ai4$*#clLrYo-icYjp7s|rVSVgg+6UdnNPd3jPLNEpdS^e`;Q{1;g#C; zefx$n*2!}!De(6KJ(No?U0f3xZ6`*ilEI)fy3|qjj!a(gOu(^Y+~^fo@4ab1e8`0aAEqA9(euiw$>j>Dm5bJqPjs9g*N=7de zBWT&ES);{7Zs}i3M(@yF%j2M7kG*}O-$xyl>)@?PW<0FBLof1Dv%WnGpwlFCI&?6m z)Mj9o%bis;Ex9w}XnuaPYbO3oxwchrd@LE2311v&eJX$89NIm*c%hd4l|(hr>IA?5by=$=}_7Pjf=bzem<6a`^Y|@60Lt z|Lc!8+`vB0+e0M+B-7Gn6jQ4o4XChgj?OM|LBCcc6QU=C+%8CB5Nk|$?ov^#UAxw# zToi7w&xqJ5uBkSDLbYe z@(9b|TYZuY4+|4oG~JL_rC1}@J^}7p@`8q~O0`8d>9>`K$EX5-*%xd1;iFpdze42j z#?{fKg%kct>L(v(rjy9DzKyYFciM!4Te`h@)#XeQN0QixN$uyQW-iDOTtPsEtXAic zma{WUih;B`nakl456{J}{Wh1bSDsAr&~vzRNq7CPU%RwOm5K4wt}f`;XL&294#TQ) zw$>MOz!T$`Gb(4MSV`xlh511bI);TQn%Yz6hjNFY>+eX;m+Up~tcQmxc;(B6<)uZ= zo5%sVN%Nt-vh({yw>~rT@)-4@NO)-NMg8*XF`sMI!; zl%h5OqtbWuAq#0V0ZIDclqSfdCyofX9_|y707ZK0;mILKK$Sxlk-IsJ*jT4C2t?Oe4mO*QDcn zzZpn`JsLQ+*S1}|a!=gD2n>%IGgNNJ4+biq=Kt3IS}Qd|Yf;Ndhl4CJ{u`{F8)Z)X5ljtn-uRY=o>*hd*+VUyQA43c&az`*8~5N~VsDV$7{2 zIGurznIW;oYTY(?dWOJ5XhAj+n(bN zJU_%Ti`XF+?r`>Y=$2;|!IWZ9_?DQv8273nwk+Cgr>I{-LNu$4Hwug=vF*2KoDihh z>93dw<1Y;Lp`(nAe}eluqj6RSW8pEpgo2ZH?-(p#^8QIM3zO|@kZs>VT8g^m-)7!l zmcPM4OVQY2x*?(+AwCen#SG6&SDrhug3jMLX=+#FhGNslcY2&RM%jY*chhPYq9m)> zo306ebqqqURr=hrqHGwx&XZ~JjcB#!+A*O)p$M}lrLLo;?JJZRgJoR^91iR&IRy}b z!|Eo3nPn^5s1uUXK_?U z^eY7i6#0oYm^^)u4oZKu(6j~p>^I2n+|6Q@3!{URiaw<^2IAz}KKssb3txMeiI2+y(qLRSu6Pr_^ zM!#iHT|{9yE^$J(6Up+KDP5c0U38@zx%23#i(~$%WXDIgBpNs7&^3w@{Vicg;<31W z3Mwssw2iy>qTkBD>sMh|A(#uld1&B8@t zp)Hz|2Sy&<_09=a>`NIzRl*ukTqvK&MwD=JP*Hjkzvka7EY49VZ@_v_Y` z`P8EM6jG>EWU#2{MB;4LyN3%m!kJe8f8L6LYvn10d^Tc@EFj#a1${s$2rI4LLrp~= z0?w%N9nRvyKA}G~o$@*pFK!~5*Z<~}->CLsIYAWuxeyzl^bXWzMEQf%=+9}qb7P+L zmg|V@B4w<{pwE%E1GJCwnb-~X(I_9&ZUh22^3|8_v`$Jd-%a#DEdcp$&W;QR5hT6k zb^n4=JLT02OS}5SQT~g6!qNbJ`4@Tpshp`Xr;WED09w*E20WYse4P;L`UTomVmj56 zhgl73I_>D+rRha&bW~11$OZAbuLoC4&%hvs#NC>=xY(j6AM;MlPna1Pw4G2qd49bG}UWcjfx<&W61wz46t z5dk!+Dd%;(nf=e-e}G2dCh!tNA7;@fUi#u|2|b`_8Y6Z$dbZy$g;@anj7Y%uD z*>+)J@T5oiJcyt^*(h8kzXk-5=C&(83rflRD3Q6(!mGy1CO(hfHEq6iVoKNEda3QV zjE=fGr_X^+G%f4_+(p1IQ57$%0at6b^8jdVtg`ruoo)1~sO2N?lOAsj`XXa(R+ z$;fsvMj03|UB-lSBr0t-k7O+%Ol}?BLsPyCv=PX}BQ!KkrRw(BhIl5BZv;b>X#{atVd&azW2QX;Fw)|3Rs+9<-(O5L1c$mFOlFMj z6DE*!(q(4F2*KhQPPFi|Po0=R0e0CGyCTqgeUZx(6Zwu$C#4Hxv=bM49J-8r}` zJ5g`a-wJ>;1fn!)(jhPyX}M8G>^*W|*n?pJnL;WL3Oq~_NCOWX4zl~%z?r;d&To}k zs`#o0;sqTY@ZHT1Dt^xrES|j-hA_N>*>AW|K_fY-k{MJQA}0g-fzGAcV7rz<;bV1x z`%+?99`+w_;7~hj+pICOX)_}JEwi?*2EMGkDxTEWALQlaSoawod-}AwaL6c-{1mJ@ ziw_E+)N(%3|r7c8jNmlqQ_#2TXZXBq7LPjDtDsd&-PeRYuafE5rK=OQTVBdo&`(SaVdGB(XBC<2QTHC_o_`M~ zQ`2)NY`RWj~8?&KTKoVf!URLP|A zRkr@?tY7|djAZVj386Xc*}Off@k6=BTGhxf|NfuA`~Pcx+}xNNiCM8n^v+1bORTWx z?~#@~SVYt@ItBjFEe)lV(6+f?Fdv=}?Bsd2RoMnQ!`uZA5gp!V;ZY{8ah={%#izKt z#l^NX46SW|w7vKO5c@D`bHQ#vizEpudA1PxTG;HK8qIJ!7o52q23^RmTYhB>BsON@ zwS)GTWNdMJ0y|C=os|3=x__W*ZJs^dCaw149sehF)sNtHtwHE<>FyPMjbpU{OymcI#m@3@wjLoRt|#lsk`_Iw00KjScOh zg60c7f*Rh2Hy4br!GPdRR6my!5`NgyR;6X`z2d~y!19BvoU={awp}$YXJuZ19~!5} z4uk4=6mhoSVtbplynkos=S}k)YH4jpRr%QB z_VL}7mB;xO)Y`6zCuJxW4jYWLOzd*8wrX08{@ouO5;@EEE;)XsG@e~66uziqGs|AT z_J`qfy>o;3(2p)1o<4wML-J~r3;Ac_-Uh=n7CTEoCm9v7WL|$t1)EiGi#bY^GeL$D z##R+=UcktcRWebA*=ZfThgpYWav)!v=9BXUqK=E)!mPQL%2s@O9 zPu+TKHhj&|5F(>bINvPcbF(>`h(v_BJ7E->GOQSP^{TMaR(Q+_Faq&7EzVtRwLDGZ z@qNJ^iErnFCjr*~c^~ba)+Q z9f(GrNphik>0r6>qG>~%H!ChSi(w>QN5~i06AIDrR#t75`bgltprFKy7e{knOMb;Y z574wxM&e7ErbM=4%6JO(5#vv2jOCFGESV>*$#Ky7WM&?_R)(y2u87rr%j^z;G*|~x z)k#0t#I-S56K@ON-~C%OGhG%pq{a;oW$-|8NrasE7&5TZ;N3RH6fp4oAP|6qa`(tv z;G`RSw~g1|vxd{+OHqbEP!@B1W2;!tx7HTVLODK?>9G;{beT8qDqSaC84o3_SZZ%h zmi@~fwqO0*ZIzer+?fhmHa8>C1`WWw|#>Z;Vo*6)Td^Tf!_9&-l}y` zd5@dK?LYOnC`!@>GOhsDC_uAwUfudeZeO(9y!>Y#8hbLU0+MycGo4xAvNc+dYQS!? zWSr_@qDkzcd~KO{faubV;kc6Lk>FB*>z!*M^R7}CCk^ovm>9W*AR{uP)G}xDgj-4N z3y-cF9Vbqvv|F}bo^?wG4e_|25L6?EdGx?ut4GW$FS%jxh^uaKQi-#`;FUYu8H-;o zqg%ou-;0EVO_VCIj(jZ?GGMW{A*koym`i*>avUn02~q9~@r0-Slpy?OehfnzWaOE& zFRIxGjcjebWO!H1t6O8<{I*KKR5)N9$K4&rYl{y!u>xqLIgiB!a@ z#fUuzpPtH9;pqv?+&$*``37?440+nUTelQ~%?bm1^;g37lo4uO%#NAoR!pBhT`XQJ zi+tkD=O^wAJdw6Q9Fk%y-#GBY{#PrxJwePt6+9I_nSODUKmYY*p7kI8<*hpt`JqUSE zkheuM&o2ecOoo98{Zkl-!zy2F_P+g^iSM}}mA6Gu4}j$W0de+F)2eX#_TpyAEK{SV zm0#9U85Ee5-iJJ$w`uUR8*M9}*HxbX;KFl<363@|TErU4glu^hp|NjF$Vy{>Tb!3& zIHG&itJfSv1s8=>Lgjay041h}P4_3aSoVulYVxKmloUoOo@QWWxo1OF;Lml`pNJxl z=KCBB!4~8LGt+c(#PrgI5V{{T)r%pFOPZ*syV_iaGm!_ zvu1Nv$Zm=dUPc7qe|l<%G_-S0wpnb6abDfvIm8wabR%|Mdu(r$iV$D{vY|7fNSTsv z6O*UnO5~QoQg9?)iooRa&KZKo9df0Dd^X7`_F-0Rn^vtHoUu(v1$B1BQ$59#Yv)>V`naIPcq|0Kp(Co|syft;o}G;o1fgvUf&$*IW5 zs+^NmMcByDO~Y$pLDr7Fdl#%4|PQ;}<5!;}(B!LLEEPc!-T zMhWpVt%yD#|*AFg0o27@p1`geDb|H^c4AOcsbwUiv|+_BZwt~)Kx5_ zbht=Q^W!S5<^7CL33&a$5Hx#4)T&Xc8Qb;m202C)6-N2IeG@w|#ocO=aM&v;)-qB7 zavjdn5Y3O|yv>HspoV{1o*HVqaNDe@VROc<&S?ST-4SIXPkl}~ zMqx8oaGXGyx)w3#TFa>;vm&fquCk`n0UYMNEGdbQFW2$%oPK+Bp567SItO8XRyn7* zLph`#y|;@`q$O4ktSqYV*?h(|-*PHNtK*q_%Y!Jm7MH;O((FQ?P_}AVkql|it$mYkeiS+#6g>1-O;v}oZNmdCBg zrd-rXH!mJooSOA;1J4t`tQlc~SzkG8Yt?`AP8hQZFW=w_vw&W4qpTh>0zCrWN>Ux) z<=UTZUjDH0s@FeAg)NftTf*`|b1ZXID(62F(I@b*kiv$VBys#@t$evLVY4G0#(@Aj!zxN)U?M|4Q z4q7mnshe(Ybh?BarJIX^h@7Pfm!8_nkszU6+9V~8q!Oky81YUBs$X7lDn=KUyVcTt zacWwOl39zItmsOQV$3-(<&Cd=_=s~l8j@cJV{r#@JahLLr{a!*L*!)aPkFN|_gBc?^YofY=D*T%Fvy>21(r2n7LA}8se8_xYu}ywFy*z(l+z)Jv zsw8)ec*H}W?O#wHv^?qT0_qixyOFC)Qv$VdNGU1I3MFJHldUoM;M<1wE|9XE;~>TE z^j&hBZ0FE4?yGlFd3^20bkx3r%5xI>lG_T4Lc2K2w712lsCNdxD&u~Bs-siz{PWm* zF)M;joH%jofZ=PoXDs+ZGLCJuaiEL!&$jMEXr^`U+4IEt@@K5tzR+~|K}1Gka6*bSI9>D9#w;%9*Joc7C65urzIqeq5Nmk!T6kb$mc__b z6AZq2b|puwTKSMyES=b~akfL%wz-9^RQ5rMJm(X@v%JMu{H{6MfTVyb;7D(?qbaYd z!bqELa$b1v+_^L*)#>D9b*$S8<6#qYFsxZ2##~+cj7;Ro!T~)B5An*Ju-wh7Dh|sd z_H2A>DsyYIUtSXh62~WKgF5FML9nuLY22N!bD;87C(`GGV-JvU8xO0hvh`jNKczG{ zuXVol%eA&=;xavR#`?ag_h@1$H|cWad2ilP8eIf5Q}MuX-Ai?Q&#n@N&G+`JhEH#b z!pllV9FE&FCu;`;jO{be%)2>UD3;iGoSu2H(Gcp6rV%j@*0d6ii%>F3wk{FIs^kGU zz*yXw%YP$H4qKQJwRo<#eFHWJc~s(p9z9yGMRr0;;6h5=JFDyKvNEBk$&4)F29%e` zHX$)RKB=2`8LL`mL6v*Hhmp#5HlECzyz82pmJ`viL4$3tUiP1Z$;^_ay)wOB@^6nL zDo51qYW1+_$xmQ+K||}PA`^QQri45PbD7VPBJ92nZ!1ifgS*r(T$mlj7mxwGB#h~8 zezPpzUphu=Tngf+J?5QlM&wb8lKa z#Z6^S8*lM8LVY)2!HOpbJ=N@G++J4qY@@ROuISm%oX^SV`}ATqza7--HD|V2?u74* zEmn-rZqdlO$NNS8&1J5w@Vli1gW@AyO-T)xKUm#d8ra6e;wBEkEkGWnOaOyXpjbk{ zE>T7}Js6$nULa#g@k;>c@3~id5e3|j~A2IOcWOgB* z2DUO1MZEfXJoa=zF++-?-BS!V;Rz-fYQ{TE%3f?({xnSd{X_~ZoH-t^oIv6}RK7kh zM3)&n0?2?xi~RSC#KEi;a5;lM14TP6XtQAd0=& z5w%qtCf*ye6mvnv!Bu+locO}VVpS6SI*R3#m;3cP)7^?KIM{=LADG$L<=a6iwr6iG z4g_W5%8o;_>J0uvzHDbbK;_zCF(}$|)GTDmhs4){P&<(iHekwu47o39vsD&ZuD)N|9Bz=G89{Z)Z zPocb2m_(d%pc57Xsx#kag$)LYH<;BOAYynlc512e;o8V7&(xLAzzl-;x4dM(%@R89 zf{rSPUwICF7GVRoL|!ONFCK)rYS2asDjFy*(V{cp`3f%fYEM?hC{Hm0+##qHM}h+90)&h&pZJ`X1m)QHq#>o#R$pAnC-r5DhYTbE-iki>Gvs1}0Tr?^o8d zFz;!4ir7Oy_*`NBl)lVg;f$%Aj7R|slu0}?CQble&$&4=6qiPpqyRFib4an;tWn_? z0hhe@o3-jY&lkmu1GoYFs@bb+KTxR~wu!Kv;Pip-JrV$OuKctZROWm;@>hYl2;EUG z)({~wbxNgS9@*;H@mjvHZUov|o_o{>%R)1GTBCeu-N`Fbhi(V$Y%z8g0U~f!>YXuH zHGk>xMwyPP`Ga$mIGk-G#I1JV+Or&p-eW}TcY^J?bW(zA{$k%x00|T$_u)__t!Z>wjo1I zh!8e8P+!v$<3AWusnh6mYF=^X`L)YnW(vUua)5>XFcxV{MbQ<(o)7aJsENff|29e_ z4UrZtYxyEh?z!F?W*VLFBi3y$9bme=95STS7IV}qMv99%2bVv>ZW(ARq$JNa%fH&c zzo~5??uv|4MU|_0dGtxiGjbR6G;$BwgEXK0A-9PUC;bbV{7MeCJ$Lcj;?#WRHkeXq zi?$FFr$khaFoXNj$5&pjr@%w;A4{=`5qm99M;W*+7%UJHQ&xh`$Knf#ga{9AN1&k!O5w<;!t&OVyE|*EI8r_j{70 zw6OWokhH&@;pbbcAV3 z-HoNJEGF+1@k`T^DcArC6N@Qp(pbh^YBO+9*@ebN!RLoW&-rFm9o4jk&yoz*mxtvq z6M*FANOeE<7aAN9y0MmSW~-e0xE3V8{R?w^uik@CDt8z2keR_fT}&wWZINb(jGL27 zuH(vS+i-jDHca`7seF^KGLM}A2_1Fol>2G~N(N?1;(hp%*+__nBanG{WAT`~$xH-Ln5`Tg(e z!jua!Nt*eG7HPbH8TMI*+p$X#A za(bM;;KjyFBG?HUW1Tw?Osp8zpCU1=hgg`GYfI@t8-)Ye&0~*2`0=^0Nhb)S=3FSC z*%8;SUR8td6k|(c!NH!w?Uc0q+O9r+w-z(~0b<9%uF5`9&(>VoZU2ewrRlC2XhzqG z9d}Cxnw{RqsMS%MS_d$V_$x1Tf)-Hs7`03FId1>{4VvhqZfsZ!*1dzJwRPU}_io$D zfQu_XKI36~>F&8^`7m6$YSXDbWvZb07`l{nJP%Q=i8lm?(IjXGKnk6Wg(S_N8GYK- zSms}dZ!AZ6-j1nG6Cn)!nXzu(aGeZT&t9y!|> zsb{`eO}tuI{f#1jdIxp)PUn=FN+WzZqg?{kQ1%0TedFy|BNnOgPc-LIeE66N6H>u< z!dbt1;aNDm(4Q5HE4>5lu?Z&QicXY)AJt?G|A*551LetM58<{D`*k_GVh8G6IpJ|| zjMh8wCrRuiEH;Z9{r=n1^dk2Nr1MhZ2r-lXex< zaD3U#{&nHOWanNEdW2eAh^X>%LSh?stJrpG?8;>uWn7y3h0za{zv2J>L`KC;-alE| zaFCdV35;76bX#Nx{h~Fo0>_RYniTnm{RcX?yt%K|s7r^1VsWHd*U3V%7k&{p2^JWV zQt>5XhWq8OG*U{Y_0@0xXksVw_N+4`IEOLED1^pq?|y%($XA;r1ILn*{F@HWbCkygsr)v z^QvWy%CO0%qo!RwHU}~#(p>*-utSBQB!o_B%aM9u?Gen+GVFC%^O{K!{;t4Fb47jq z57b5OiRI^8M(=AzvP}3?B=vGF9{OKb8@%&}|AV}tc{5yU`R^la!XC#e83-?;)k=<0zE{}uUs1QwOTois-p?1cx1Hz*jh}+FeKi^$|PawlE;+Z3+l9g>2S%$WZ&VG^m4euX)bP~h2NHu~hHb2_MK2j1Z2y(itq2p-N;g zpKXxBQzdiUJc2%AsM3l3ShZn_4h|KTX#}0*aie^)AaQX$`rWw{d)J-o&-wb^ZyB^E z2%0^znR^<7x$kXdzJv2PPCCX3hOl3x(GehK1JBS$1F2Zu=}0VVw*J@HAAkIDK+r7t z;Odh&BoRQJ&T)Ih;#AIKg_%fWIOI;D)YHHgcnR(_$$(;n1!-37-T~j7pK?^mv}V+! zawS{qfM*u{5-XG}j3*x=&=X=iE3ItI0SG+-(gR7qt_&w07&a^N68E)W@g+R;dwVKz zv!Y5FFdSmSXcj@bUGe86uZyOSc^U$iN%#!5%P^|JGK#B{n# zcM_K7<^*^`FK>r^C{MmR*lDj9ZoF^0pzR1agg*d{h6Erz@|(l-H#+}rgHQ>?Tw{aK zYGUtc%%Pe<&s)DwY206fvFTu8U3=J%88arxWmSy}0&CR3yovn}aDN1t6-mlL){zC- z9aQgz#~aBi*lCi9bbX4{OhN zW_0`$#na#HyNY*`t8^zslIzy4HAQnL#0=TMJeZI!?;;sK(Tx6{3P?N=XWgR(9PLNv z?q4DvO>vq9*ktX9Q*jj;8ouWpvDw)T=hJ}8m;q%`g=xS@7OI9OM#U!kKO;U(N zV1$VI061L0TF_uvqRpvesj(y?%`42C*6zTrT~l(GqX7{9GP2fW*O9-!-v{R&XdHjJ z(7&?|;XnT)LLq5^e80?8pmRi73rP*|?78^BYQSd9g<(IU)KRJW<82V{_&naW&(iy$ z0}Y?ocK%j)k3Y132+o}HWKt%~3#@@6_pRAD*1GI*tIWfke;YX~?>FNYmKi=D+_rIr zD$|DW+}-AM-tdfAJp&9G>PCK!d_H&b4$j9YWDy=MDa_)#J&)fUy{4}Fw2d{!0Bfeo zC`Ls)bH>a*!e3oJNRv=$;c*ck{5-yK{5~86n1;=9lxh8rKM~GliipI&J&h2JF5d!_ z<4>j;X0zcZjq;J(5Wi6wX{v5Q%6)y~y+#ch1T8kG?J;;KxFvPDID?_RJdxQC?y6$Z z4L!(28L$a)MBG5SAODov>euAzvc}`((|0#L6R)JL@kB^M)CVFOkev&upnIVFo(u?+ zSAUs6Exi(2hW6myM;)`+Geat0Ka@_80Bdm&H!(L6pIsYsI2Xl@Yx4ikVde|L4wbBF zL9FoTM77G#S>3ttPUUs6TA~*DT{R9#UokeYk{uvTef@?nu@<4uJ08@ni3HOcrLt=Osc^^Kmo_N*f z5>^xJ*n)g`FUlmnsGK$+Vrf1Qfp5m^p^aFmz$+}IhGGgG?M^xEqp8BGhmG-u|Csgf z9HDvq>OrFOX0IT?+XuGhY5TyC^BLm=WGucr6x|f>6Q0PPeRcoR0GsG}2GO5N%Y2s0 zhfaQ2MOem`)j4SBVNyMy*TcF48VaB8)~*K~ZM}DQ8|71b+Sa+>#JY4H!{ef6*Q@a^ zu|GN~Y~;~j{p^UcCx+`I5dS8c4zv`ociF+H|a32r~MXXv;ilCo&1wnXOog4vC9W4 zO9ciO`}_JyTi@}>s6H+IWyWu$_l2wlz3{`Cj?>8v&M6rkFU?lc(@7YYL>&}y5ezIs znjWJ;C0!MV1u`PNhL1Fp!pBYLuJh_Hu{(I$yyVeGH|}X^Q^$Ga{^r+HavN`fId+8G zuNe>wThQU=p^>y&jCVzd(EiSegTj8v5LL8jd*}&BOW{hM@~-h;v1&3+=07~9R~&mC zqnzb_lIebMJWh?NiMVw^uPJ&}QC4ig7z8{EKGNh|zSAFw|CO&b(KMXHTL)Q*sG5NY z362KfNyd|4!t%ET1s8!h@m88H4Gye4#3Jq*rf58fQPm#oYi3A7=)VIb2chYBWE3)E zSmrW0WeP{f#7ic?w|~%~3j#W{7wS(Y7#{TZ?<_7w@~#Are}V*OM^L}WU@@{+{I$NQNnWP`(lw{!k$QB!rOmty ztD`*6Y?alcDSLb9TtO5$wECD)Id81@sG;e*>4`kK$d8n|U3rM{A7}zcvzNDKsT;~V z;bmGy-Q?VWXW6jTt|K$2jKbW0O2Vj)Q@WlrQ$S#kH{Tnz@t9h#UcDQM{j*HnhaTRv zuN$F}EKw3$R1q7xUkskywb^tuMZAoL;8z*%$S9PLoNoJSW<|A9rq=Rz`+ogvOqXBz zH;2+cJVoCx#R}uP>Nnq zan<9E-8y&nw}djF?k@^F5`BnG?dZxe^mZN`I&nmII``tjqH>sfG7hk$xai(M+6gkih3h$%LZu0$Z1272+PV!J1h;jl z|Gvt1|Dreb$`HAn$}HeMi5(9E!4E;HH!oWXf+zn0$)8Pu_0Xz{#Ug5ghw2?MX6#rO z|Fgcn9;OVY)YI$I<)(NoR-<=!M8`x=ib6vwZg?=6^+zX<8MbQ1P%4Anoq^ZSSf+Hb zJww_hv?>A2c)X{v=N2rAPLA-YH1)~)Oq z;^oz2M~`-ac+65getMr~B4o)6NE}JxHiF6kV+P?LR6~S`j;*S_V?eJYNDB!_M(SoE z7zfI~Qjk#hG0CT`>#>zKbY8>-Rr zlmEU!Y3y`c4JkizeOOk*A$UpHae_~OBY8I0HB+D2QE$=GPLbZT)5rh z_7)YJd{;p=m{_sB9Kvle1bg#4p5LCJns8)RIU4n`T(l>^D|z&M&*^WLwJ~Jb zGiCYt?tC`dY*F!m5c%jzUPxhg`_Rbsr)ORE(k~%i9Tarp>C>mXyMIDucR1QC_HlN$ z_cFgR6#IZEdQTI!FXB9CS7188$Ze`Uc z+hN9x8M|t^Nb119tZ*8QXB_nH&x zrV(a`7#b#CZCkjZOgab!TX*cR%&oLtHKUR-tWTJx7x42s-Xp8~gt9kdvd5LZxpH8} z9w4CTv?WJ5?z56lp0lE9KwxH1P-cpG95(fjA2+@Uspb&F(d`Q%k_iubv#8P`` z+&F}rrI>Du3K_FE=y1{?5r_Z5OP-p7V2W~7$iLSOhtzz2_ztt$Wq4$ZXp&xIikv|} zG4@EQqOtBLWf>$RvjlY8^4W+-l%wzFQ3Kx|4N(Rg2?_NLP94)e@l@JcyuI)BZ}R>y zWAa_ef@;g90Psdi81(gRCvsUxLCcYiGnC@s?g2`zCRY}|JK68}6k0kG(~uAdqh2Ou z>+WMfHay5lLS{!!Dx-U^4>kDX%MdaI+6PO!3039FQ&`qHuQC@W&8IV3Q+*M7e`V=V z*FvILTfcM|_Md`8g-y^P-kBS6RxbvWH2=^xNEMjKBa`85l)y65;_NDz@$|A6S1(?V zJ@YFl;6Nwh12{5-ZXqsuuxvm9@Aveq;30-%Do0(OnC8cdjO@64`V!2C*eeD{~J^BR0iKSS?aH^{hd4)wGB^!A5$A_h*#E-y6*(51J9ZMH3`n7 zjhl7Noz%)MGOFbB6Y)w#4Ue{~QH8D@5HdMMY#5=sa3H z<+~~$?`yf3L`#A#{x;{|_P^`04KCuoKd#!|fKUk`;rdWr%>}cq_jAcLSD~8C@m4V# z-pn>n&(XUIAltLmCFTe<7hKc-m`Tkq`rh_GX;g_K0Y?KbY2eDR6feo(r0@U<5e1WQ zw8aU3Im~MZ#rjG4b^FyV8$4nX;V~(YgkF|Vg5Sdv4$j-;rlG(f-KL-0S&cYz`jpsr z-I7KB4}V?TIV+%<6{FLi;w9~PR`aoACjQ~?R&>f|S&{93sCcz5WhgK}V>WYM}gjqQ%U22BBRx)4V6w z+etmI9UgXv#06CbzUxZoU5yDsw;nx0cN>DnYhK~wH-1n=3rNhuKm(al^_emL29{ra zwN~UL$P-f30X3__-__6|FCIF*Df|S{=mWZj^ z&7EU6khc>o8;?Sr`yX$0#N()6R8oKBQZ0%l=?V3D_H|9-J#B|kqtXT7p_4P4oU_us3oh$I;nu|F#Jv%)sOXe7(KWUzZheh{gO*Vhx8yxbuVay9elnD+ z7x@o9A?7rvW!SaxEwKzGbxTzfLp&Nt3QIN*)VKp_7JZq+NWZ)@mJqcF0pgGlw6X#n z&ycc5+Z6le;mhQv80~wkHmdY#d@Z|-U0M*gidoD1mf3TEzh+E;IOL!zweiWcVV@-0>L1>OFx6+*Tf5tbYGG0BQXlmudrhKXpHK$ zf@=APfWAQW72_;b-hiYA`0{||eEY`Q)xKTTl_t*#x9+6(-YNFo!eS^#HEo%9NNx|3 zZ~XV$RsD@7M>L8tn<=Ak60LrpO>#;BJO7wX;_QGAon#?&^kkxsfX#3?g}R{I<&S18 ziHG!jZp0Bkyv*mEo%lD~JUjBnvCX9J2GLsg*Wp0Fcu(Uk;9c>*0vqG}Lo+mGhk~kD z?AX2AL^V0#9|;q=IiZUg7V<-oY$?-SibuRnaj9XgNSWYt|7$voCgaBOIl|+H{OQ!A zhI{J$Oq`frYI-HUn*>Q}-e=FX4fiy8p1?Uc1cWUw|l7TTc3aTjL<<)D9DAN_cj{HhN1)nZuz;VZ)8nEt^Dae<4l2`sI@e z*znvL*_67bN?{lCCHjB#A1G0{WQ$_x6+~b}71IY{*d(()2!o=zs56Zf{!Bv`kvIDn z7L+@YCGYOpGcuCf*dAe7o2B<_L4vu`p_ux!ZLisy^xf&$f5{ks9tkayv{SeZ{)5E7 zoY(!1|A21{{x@t3LwBlUTzV|bvhfrwQP@HR;XTz&BZx8G=#AGA;)#POa)45Bvz~OUU_*;O;)%1dMW0b#LbL)p z0?T#a$SQi(b?}-bg>sehbR^&K!td7ypd@kQ+bj*yqO_>UOBZj3mZ1%4_O7k@)b9wT zQl+tX24UnSr71;*=)}A}{ev9q^(ned)c#WlVkx4igZwF~RS0e+Gw7!dXkNXlo$mj? z3?(%~1Jw(LFG>fjAU*#%i9BPe{iX(|O!h zSt9b|gRVV+3VWMkG@^IIxawm%f0zapXqV$CNV zHj!{5z3O00(Y53Y@0wpSKR*8bB9cs*f@Uxy-b24mk=XvSIlb|%#AnG=T+P`QA=Nsc z%%QAo%b*mo{J*b$Be{**ot`K)-QWA5sz#)|F&augKvWBSsUUSFk{vNUmJ~p!ia7U5 zu_hb_y4^c6I%&w@i{_-sRp#yd!#P&>F9RO~EX(DNJCbN&T#~eyvlA2dUexS~%+>M@{EM+y zZ6C?4GCj%R^tBeE)&5Y-%B=uW$N4G*Kvm6mdE^5~^lPi~wFy zP)48lTIFBP?ZFD(A7N?6h_Wk-W%hHIjvX)Dug_X_?l4v!Y+yH-m{N5xL~2%8+G%FD zHPjho&Uu;4*-1s|0cYTFh2PO9w6+tluZkO4B5U2W~AM}0p;eWIWHm$26magBp z(RK0!6O&0)HdGW-oZ4l{Y@lLPAoj3HP;pLOt>Gx|I0#2My+K`%K~5}$>MjZUU5*MU zrspArdkmtfN=Ai~+Q%{27-)1}ubO6Hj_L-uAX*Qpgze5UAcR`|%C4jD(SvQ&$WkG~ zvqbOfDVG(r=x;?{cI7nDg=auSL>Ki2kFh`)36^*MCCbETcHgw0lZ0UZ>jEwrIg@9`0xS1AZC*>usIQcb~c(+WW=& z7p;%dPSw+L&R@Q%o|9ikzdcUB+Bd$~EZ8qu$Hwl4G^c({O^YE z-jgx3ZO)@7t*PGpJLS@*GvF-!?SeJY(B&*H2rGK2b}1OlQqnR$Xs0 z`ozYen`YGRxx=*jk?w8JA5|NEc|WY?5vzK(srgHl>Z97q8!He07u9NoA})XEWrW&P z^D@%X;0!t9!EHH!CWYp#yAh??v^ARPj4Z?*G_wu zmv@K}12f+5%tr!Z1|C0d&S|)R#j}9}TQ_obbrnNGdj|(#z#VB#lw0_ieqf4PedPM} z@nSB6+EylRuj!gyUS2L|Gx}ahkA?U!wDR@LvX!xR4VESJth28lh~5UR)rMVj_kDYB zB1<(rBO{!#VpyC89z8lz)RFv0v7!?5z^6N9b$(<|s(FYvs>rJ?h!nyuhGOwd$l~WCS4w+L>KPHRIg<)Md z=#xb#o7qxUM4Qc{s_KuDzh{xNPV|43(?AR#oFpgv9 z@I>TV#7uNf4DFo@hL)ESyry;cp+}VcvdrAds`)_Am7PDGWM}tT5IeEw7b{krT{-js z7X#ojTYJ=_wpZPT9>8*D=S@}5b$HM(O26pf;4mSo2lW@Vnap zR6R$%DD9)FNWxp{2xo%qQwSJyE`G81YdM?-^l)=?6R(y}>#s(k>Smc#M*Sn50~t0PpXzs6S%>~gm#SfhC1@0&_)x%UXv>3{&^ef#!7TN0+Wh>7-|+}@*0mx&e@ z-UJ|Q;|4r+Ut@Qv=Z1L~l>|4wuN<%U_v!*}-~sH_ci}xlgT8&|Q6j)#Zd)>N!jR(a zVE?b!)=W_CV>wYtO4l}!Uu&nwF0X6zV{!g|yq=}^Wnf@HyVPB4oAOg1wUu)}ek~SY zUEp;%otesTb_tG-j=}c!_PWN?L&a!Ckb7NW{YX1ZPhZ~vKba4H_`=wWyK&d4e*r8o zULTE-kDT$#ph1Hk6)$(iU>9bn40Yu*<#^K#2oJaTq+>;4`U_5_yn+Hbx%xeEm8K3h zTZTJsD%aGrp*$w-lN^zIOJ1a>r+<-Aw{e@+F+G(JnfyMHH8>{5#y!sV=NYCPAH<99 zK3ASjR{ol7eBFn0?|ra#!goeSTzpDOiU^zu7um(j$tJFD(o_vJTW9b_0ld-B0~2@) z>IU`{hoSJV%T|IO%{VHl%mv*|9}^i)beG7$8S`|>iX$6*bQ5~QEbzr4;BsNs(@SAPV=Bin~X4eI=9{mTzu?9_Z{cg=?m9Y3Y^ zm_-Jcu5`HQVZ&n&9{d8L0pZo~VQeGM5zHpDo0TyqY~!51J2@@rhbKMN=6B-#A8Kwz z*q5KJqPr42`Q&gJdgoqxHf!HEtM**GFmi~jhYjRt19==jAmiOH5vJT^aHKLpvvnf}k_|t%jWjMzky&tnUpY~(z2>uoo`-g{ zI+=X$UYmidjwRQPaaZyoI z0DzZiecXP>KcA|aw;SIiRsRv>9IL|5cgfqaddK2n~}4$c!cA8Olrh$EKu%AtBwl0=D7h zo?6DX!5gZ6?cv^JS?lVb`RzlAJ`bGd&6r`t&um?M(Ua%l<1@NVHT}n9>G>`WGmM!+ z!)n>a+Q`ex+rE2u;Eo;5RuBJ74tLz&s*3EyO-^-?RO;!Hvl6PfYno6MHLd$QckR=n6US*|0%%`Sl1@FC z^KCYJ_ErEE+HlhjZSg$HukbB)>C{xG*Vq1mUHn(Ysq;ju$<}0cgm(h>-tm4sR+7N9 zlU%aL#Ds5W@Xvgbhpze`)w`5m92gyK4Fk@?)is<m8% zE_@nWn+u-YRvtxR=@q9lqbon!T79lyp*w>04XoKwA?Y0QER0uqyzuw)8_njJb8&z^ z^``IvXJYd>5u z!cU*(L<=}^V$1p|?1vdw9}MQC_b5)IQm%8gQImzy(a})!r4FN13wwCKFZEP*X?atv zI@vCRvR^EHJ>q@Uh0c%rs8+5nj9=U7>Rgp-)SBV$^;RC_V5;niJ=NM_%72{meOmQ~ zBfV%`19)(9*HY4F9*Ro!wTECS8@`${WfveFIq4(k0pep~)UM~#O4FTI8_CMG8lrFwbv_5;13ihedw7$`?g))yWH890*@)MfCSCnd_I~+xu&cSY!8P zL9z0~JzHrqH`IVcR%0)rK(1L+hk3bE*q|LdDI2t%`!@_8RXN{NGE)!0*I%ap>)m#? zObQMR^tv`Dd9(Yg!#5j#sEQw;R5?9ANB2PWv=tcW+i%a1j9N^c8bncK?3J2tL0cEA zmJY@MDl)U<^QtQ0mvZ486{iw;vU`X9+bZTn(qQPXB5RjPJiW#?P{qIgQcAB;M-Cqz z!GVsggGjbn8y03}hv9{N<;A8lusdJX=zO`f-{?bLDlwZdtJyUui;W#BX^+tAh_D=+CzC5Tke)s9kK_Tryxx#K$HwO4XQ9&Z zbF0YjP|ko2gPuKmuKS6{lFE5VB{N;~&`VB~i@gSQSF#xGvTyptI>B7tzx21C=8gJ5 zHDlVrEp5+VzU8qB+sw%+baR;Zbahh`3wDP`%CBD!?ccw@K6%TKAwvLT(qmSfp+#=+ zD3)mi$0%(N9Xoa`%>AvP%dnfb7O)|~8QFL7r@nq$+GlmeN6}}`b}%M2>e#84>VBrn zk|l``oOkN958RogQU$I5b>;X86RbE-SYzRfb42`a!jRs9N4FO~dv;q~=%p5gAecKP zF4j)Fw^sX8Zl~7%kJ_$2sOdTm|8N&vFhR?g?P}oLijx;3CR9@c zP6DKGz@TKDOd~pR2NX#3BF9S}oWuwi4wnc79EiLIBQZoy#f7&)NY7_5>Ab7+pZJ4= zyS@BgzQ51Q^Zh)}BNnij68r9CkA8F4w7*u&&d$;1^r3+LL;M>qOJr^_j>@pj@ zJg74;?_i7gLv6f;lM?@a$#sr^CI;b3sJseha&vM>lyp~~EB~WV6m}a9gAX;0CktJ5 zg66tdaKNVCL)xMKqd6yVt(^twf1GW8{}@}Isn!mk;uWC~?%9BE9$U29S7Bv<|RB33b@zZltHxY|70 zbfguF#Rp>JX`v~vt}*|wm}!gvQceL9GTDZpd-#3;fE*gG!0x8DYjB&3xf+gv;WK!q z0gQ2HM9ij74eYIUIbAyBHeT_nv)%ec|* zrn7e{u53U^h(pbwZM8#a-N1y8O7SBQzFJV|L4wKzQ@aS>5j$Y?=koe0CPO4(eS=dS zmN@07bTmjbKJSQ*F~gFQt$u)Yt5AtnET; zy9oy>x4!8t)!~G_Ep*)VZvs-vg$gc8&X&_=a--@g@{FS|2?g);W2v?)+Eil)1uWNq z7P070r~K%PbobOm^9OwR5-L$l_%}_sqKcyIII>*F6=xv%IhBw)9LOv2H|8+BXE2@h zud5K;hbw^`^)9E-V@j-fOZ!o?N_*ED7XW^7Zoi-)SjzY#oirxY`M=K)L;g#u3$Tb&6IjO3ee1DYoeA(tO8o}P`4%c-YaE4}bLG#G?H?1}XbBQ&F` z1Wk01RmV|(m2Vok!1mx%#b@e!iI^(8`>QsjXmu`t)}*+@-0k_bYr;^7KikzapeORCssB8d=fdS;jNd~MC^MKQkH_j2%;NXb2kgzrUh0;+(6_)e|JrrQc zo~ZQQ+F;C0Qoo0KnFI!iDhY_b9lcN2;9x1pgnP*fi=49pLKB7Lv$Q$+p@bBg!0V&! zY1+jAEC4Lwyi(aWQDp(#bMfm?r7c?tD2fJnU?^9A7$}ij^vGu<(TW2g7l{sB)gt5> z_xo4YCm=4yVYUUxJ*mn8YNy#);NFE$1j$!IuY7|q5VWrNIvo$y=@^EcHXC?L7?Jy< xCu8Uzkv-+<4@{38Bii!6JhGg(mVwainL`ZwhGlTQEu literal 0 HcmV?d00001 diff --git a/README_files/output_84_0.png b/README_files/output_84_0.png new file mode 100644 index 0000000000000000000000000000000000000000..4c0e38f8c0263a1f75d18effaeb06f584c7c4dc3 GIT binary patch literal 16438 zcmb8WcRber-#&b5*o15%lMTCwD->Dz#w1NK# zy2Kq#5GIoUb7+1Z%h^{{YpwQ+RdW)ooJV7Y7U=H}!o#LjO2KM$}u zx>&LER@4;1OE8?|bzKpNTPDaalzj0#c(Zu+Bk6}4Ua6b2-hPVOS7(OoS+Q6W9^Ki zljCq(RZSJ~Ch$Ky(#*dDTVKVD`9-2mLqmg(i~Ek5n}?_Pn@z4dBf@y+XM2*MD?Q?a z>&lRT=N2U`9UYOfmXI@9y~C`KlK`ccj}M<4!_$?m*-xbW4wR{>sckF!CbqVbV*aOh zSy+lQrJlTxBw;u0k7so9^bBih5fh+PE;+2Tn|kT7IsIaICEI;{0{zylvf8<9x!9j8 zD`B$HdIHkF8A1cdgJEJ_WpiMI2qg39gXFYOsUBxZ*I7nr?qyvwzD`Cd_N=ETO`78@8D5U z#ZZa*7{euKw#0UHNP2mDFC6^&mL%-SM$Dq~{PSn&gUuNdK|w*sC`Lv`3~Ij}lvk0F z6{cO7e!E>Hll9JYVrLswje)AT+Pg|2*x1-V7ZzTOjcGLO>D4*3kB+MChE57^4W$WV zBWCIxsjDg~O!ilX9ampJ)6mhG9HHrb&t-x6?b|mq&+WOA%I&Ett3&cgq1Kc6c_4qgC;LEEsw=+ zobJV49eMd)3bVc4T@w!v4;FTI6|GvEZ}h0o?}++n6bx%e%)5W=NU6lc#MCi0rG2cZ zXpWeCMZ}E!$0yHiDzm5xupv%=fB#zNMOlxtBYR>hsv$2CDq+{?H!6o_) zZ)zOp)5*xmxiVFI>6Mc2B{GnjvGDUJ&el5zEiErIQHq<@JSYOY=R$1!Y!7l-S{X_+ zLrj7>SXfX|Q4Mx>W-CxYtg%v7R<7xOotW5jaBwhLtXuWFzsr=9o0HSzHoc&Y_o!p__AtO{-85xt+kxUK_jy7-x zC%8TRMz=?$$`CN-e78k|!@{xyuP$|(eRx~W_a6Uf^1gkGTI>cw{vLtf`EHL+xiQL* z+1cH1D&i)m2Y-4820CkOzpoMMd3!f(Xl=!cUxu4>hN2*jHl~8WI&Yw&(u#;sUPr~2 z@bVJqj=96^>8GH8DIzNB{OdD@VyXask#<@4YZ|GY9_l~@;`DGm%<@Yz4HHx0^mbQY zABL#UK|ZILoSdA9*AC)=a;n#&)l`eWFe(mt@XBxo-MxD^;PhqS%$$Gs;x`Bd1O)ut z^}>sgP7-jYJ=&ZJgHTMz&##@iZMpZmFNxQd*ynI9WV}e*>_@$G_^VePaL1}zTJ*wV z^z^8k(=}3xih~qp+8SW!h!3{kOI?<>wzht{G*n)w7Z8GXYp$V4)H%$)h9Lj)kX>v9SQM!ypMy&zHL}}Cw_Gd?%l|qX>u|1nJb!zJBFLQG4 zVN;3dG`wXVDjEqhx3I*8=@R+s|r4)3M@iPL*t${JDB79I+6el4fq7fFR5cNH}VWxPb$IHx&0@Cc{C(p8CyW_1{26pzIm5e|`Te~|#ZW8M11Y%d`u0NW6wI^I{ zf7EmG*-zgq^4yr@BqSs>9!eF|q{_&Tx=%xc0x2ko%i@)O+QT5!Ok}?I+WAS*ngSn- zEE6E{(o|MeS)_dWB&?{Y=(P9yk?!pC=Ln8&JUl$rbt?_oM~^Td8x+p=tn7nj&=#R- z1QxaKRcTKY{1K_SV>DAy^XvnPhvw*DzJ>&C++86dazjJI-rin`r%%ZtF#i1WC&Fqt zec@zxv9b~Fd3CbFtYkAcFRycIipuB)MRi8e6y4jM*Zqy&pr*T==NH))I)DmCx~w*ANS8cZLRlw_pmGBsqV?i_vF)+k&$`GK&W*_c+%p3 zhIjjRP;ak1`i*M>f`ZM?uYW*@+uhw|U}g?#X$h!tXJKJMeCRjcU2hJZ)^GM9f>_f5 zZulE@EcT8ty>^+4*lXILGjK3zCnpXlr9$4kAy{2sH~SopkJ)q3*#Ba_KTr`eMWxQO zwGz#tyhln(UEn3`b?m&nnwfw3;77>Y8-<|Tc+55@34s$uL;q{Q!Khs2UU2XY`CRp> z0JcOdIG%g=?rGT2iHT9M>eU7p6xc+s{F$tvgXHu2^=pK+g#{+u3f-+J=oNw_ral*Q0` zh1=#dkz^)bTwI(>B7fK|>TZZL9M&Tr_`4TZR?s4(U&=%hYffn!8nPWfre$Zp#qT&5 zZ@^d70S9>N@#DwEMy-aWeix^Q99&#)&ah#BJ-Lq)e-mgud&Z=kDxhXzy7DE3f9X=3 zho3*Ju8u$8?-EJFr%RGISLZlK*q!#>b0(|jZeEerpv*M46#Ne6Q0rTimX>Nx&q83d+Zur4p6HYc4TtS&r_>-+gb%5X*~;om!>(eG{by10Pi~hQPI^AWameK92kJ0*YRX zNMcq~6F(@85IcC$>J{dPO0w zqIBX<%+O?$<;kV{_wDt_^kEjjT;LVrLT-gLe^Us zQJRX3CtIJkbzrGU(DGE()L4L#SV3s66w=kzwVNzA8SL#1*VWM}?|b{83StpsYB8zV z2CQIkW+vr*QW6JT6`%7j>36BA`kUe{@I-}*_(eSLv$62qzkbUb8-tQkQbpB_#F6iz zxaQ{PFXL+dKp%KllX^Omo<>h5XBclvK0fBPJH4Vf1HdmJy#gHZx@8WTAb8}CW z=<(OuerIbCfsLq1#gX38$*!619g8=b zO1H_29@8eQczSqPqN1V>_Vqe%M13rM;($us=?DE76+Ja4{!)HRn z@42mXhSNpKGKQ_d+*ueH!k1Q7T6g!yg6ADGJ5uPgx{lqXy}bqD+85T>BO%=IxC!K- zpwAf3Knw<3(fa8Rou`MzmMQI5h-YG*Pont<>cfTk7mg@ zxw<~_+Pu4moAv31^xG1nR;m{-Uf^MdocvwMpb(<``nvku;cm1peiq%0>j4_|4t=AJ zW2BE}M=b8rG)hYOD!$4xmkBQ&+2dsX*Bm4J@#<@b#XR4_@3`wL#f|kj1oAhrIIc3d zVHr&YHb0%K`nt7>LGx;Hk8nPokc0%y$jE4NW+td}VeGVaiM{olfD#w2NUKDh%`Z0_ z;D!ghLsd}U09IgI^O);GPf-z@O}}0>kGElNYCuA=*LF<6a%pk#IyH61({&M_19Yft zx<<3*h@KLxx&wAGN~Ca*1i(OoMFI{E&ioqDo>_NPI~X{$uVF$p4-;QNOMidDm?T1) z18TY%XP{At`!*?3gQX4Db|fp)P!f!Xnp zo&mODWS}uq12LJ@UP2YRAl7PqD$s96Ic>VgW@4g^n$}6$8RlL@5zVwYNz&6ryO_yJF zG}peD86{}9jW5GW6f%MU)M=FblwtM}d4;Mg7RLSn`Gm*(Z`?=N+OzcEEq_S=e^DUZ zL?k4Hr8@lo!-4(_G{T)uD*|jNi#gxwe?dsrXE~}qL?kpqlJB*h8JXGGa9dhh%IoUT z!a5(?*%jLv>FSbM4yWTlG9{&;=$xCQLKY;@3nU03aU-{2p|_f9YWNV3A)u>S7&$w0 zmg+aW92rs7Z*aK@?jr@6MeOhI+qpykt`^-rMi;_+TTf5kv_CkyfX7CX{?v4h?I<|) zkJdnHxE;*2|C~gG{(a&|8sf;Merz0^^>eM|?@LQdFFF@KsAbDyQcEE%1>J(}x(qG; z;Fm8;d~xzQZv+fm{2~BdFdNHPgHZA0MBtw##5Z7LV_?KJ=U2aB^3jB5eP@6Fx*0Zv zdF?eFq@SQ$gcfUf_h}b!sX^wr1x=c2q4rJWMOpFu&Kc>Kc83-di95kPE7UziUT(YQ zV$KLaDS*rL1q?w&3q>~zE31i>RTxAOq#+7G+i{NoBVEiN6H#7W9Sn{vx$?n0m)1{| zO}2ijy)zSk@UKs=mtoW$5^5UJy!vjlX@0(TomhJ7>G0UpEUt~m-mkv>8D3gD@T?7W zl%pZXIB?$f#;7&$3qRP@nc8H9 zJr-2&Bi#+G%Y!%}kMopyC$8p4JHye9qI+Vg+S@AxEpG${9iJW~Y+6N`%ue%8)_LB- z#M~R5D#2<=;iry?`C{R|=i*x7)<>Hv=1!o`Mndg3NnN$#hel^+<{mIs_i-pj6Z*fV zrY3W7?HEshGt4f}|4z0BivPpiTzUZZAb@h?$ttBAzp4!VvD@>=W=7hfxi0=Q$Gc0; zC@tIbn8dQD;}dn9oNXJop8nd-3rV`@QKD>&i|7-*^YfV_Q_;6M>zDIyGfao5 z3+j)vZn!q58FvRB3R~LM(K|Uli%H1i=D6y$*FitntuGsOpx;~gh9t^-$-US^{kXf^w%zk($7{x~?S`!nyeIG9z)0 z?m|0wi5yf1MYBDmPXyFZ;)^vTGkRX+nbAq#7wL|+lJU|~ebwBjvRf??bvZOKPPK1B zVQWtG&eW=dPNe_#;_4T>&+`Laa+@KQLP675&gUMu%DJLF*-eR)ewQc;_tm{>3hU=c zR$X@kn3>O0chCdHS*5%835u`QsZvAet?lhK*fW}GHh)y$NQIr5^yYQ`94jPhxuu5? z%ZQ!yZ`IZlUrWpwtvdEaC%wA)R7h~4$cB5Q)ZbV7>J;nwD?`n(p$txEm%B}K$FdYF zwI>g&DRtk!7jQmTLA0eExShKnVRsN;K37iDAMI*pULL%llEbBzwp_0AIooh=Utnml zp;gdgYFl(_TXa#SkLyoJeD`>PrTFsehv*Sf?F_=+g!|${aug}APDR+zSWBXu4tI-$ zu-nFaZd%(vi3@-FlM!{lk5?I)7hM`w=b9g= zzqwr`N`IdbWA@YWYv%Q-B7XHZZxD!BDlzEvh($iNKKnK{M#z??Z(&dW;6caOAod-h z#@;orqg4#H#K#==vtXPHAi_G?l>F}fC3R%U=t2n1d>*|mL{m>`DkS6V^>VP|JY z&LtAk%#ujUTZJcOV86?-&E{hCE?XN5tGa@-``b0=nx3Tn!`Irh;-&F=>bP{*sSdm; zlSp@9_pgsD6-$-p23#gn_E8YgH%=Me%B$(qdzUDak?$6@p8IJx_4=bkNUJZEzJUUk zi)%~6R}tFO;^N|>vEiY4#6Ce0WxF&g;IW;deA;6&@8;ymz0gduJ)p z$aHP201n8nWD`0O7M*g5QfTwAtvPj;IKMCJK4c`OR0_(ZBDvTV1&X@sCLNx(MWRu$RjYUn4^wYr(4h(!2PF89gC!Vk)Jc7DM0V zwroW!J)>pluy(wfn1cR5@n2qB8jv~yAc^4B0pOKa-)1UnOIQ0=%vajFWf`=48tnBD z&l75R)5Q~8&GZZnW6qmIbaZWx5}wySC_<&EQczaz9(>PTba73P64!DlH6kalo8Z}P zs2-Y{L>gG{-IK<_XO`7xlW}+?7=`2IWN-Q^_{@8J;!}cdaEu2)QfwX{>k~9@AYRLp zZT%+fTrzSOKnP90|K*|8H5MW)*u{`2KRP-jt<^I$h{s2dTA!wy^GoHU?g0)qxE9)H zBd@~&K*ngrE=7bI8Z~_t^M=y!0~cQEPlfESjQq)%`Jw!jZ#~VlkQPc~nCm3%hOU$56QWRTR0HFXKNY{1MLIG;o;|zi zyyt-nd&!b>#bOaoXS3b^d8nxPXEXdD)ilS7WFgx_l61}4!v0IGS<*OIeHUq6H{k3Jq=ZIX7PyAd(cIesQw`Ve-@i|~_eT}c=1DUz$zT`t zhr1OO5q0UuLVqKwJ!VsHG*88dQqT`Q(CAa>$X_fJjq^8@qLwUt_ByxZ(Byb*rU~&E zicIJTe_h;aLP4;mrH&LG`|98kzuI15mGJf^la3@Y`7nGJJ;d?yZ2EO|v(>n9-&%@e zOMA|vw@%O-`R%l$RenC$nBt}s51>rpv+sb8eo}RTQR%~QCxfT24%weDSdW7MZ=liW(1ZIq}!mn$}?!dxiQYJ;4t6(aY+eVq>wS9(Qh03(Qp zGQwWI^s9Gw?rFqHSqh+e_3i?F^p{K$PrDHxqnmQ?@!@g%x_lb<j=lE<1qb<9-olV=YXT9rzd4}HQTbOEHCw8K!RxG`}eT4Gy|!yhrPl| z1Fi{{_kf^0{Ubg6>`O8)Ccl9FbhQwg6uKHU>#*jl`$Y-N+Dv1lVV#*!&W3)CNY|8= z4Q*V!8=U|C-AZBOurU&kf;zE(;78j%41q)eja(+r|P{(W!m@9gfj1C*i$u@2evK=X}cIF&QRO6**NU;AV! z#uj`e@>;K?d?G80imX2!9UXPwH#7($Ig874?LR4GgwpEvE-=f=RKC|cn@x$yjQyFC zc<|tX-E?&UTNs=vx;9*{ynOhEOl|_XPuzgeeP+Osz0}u-9 z*+$+{gHK1xsOU5}FMF04nhMkbszB1K(31@G19XBT*Sm*O3eF3=jVP?8PNIwHXizSeLDNzLn*1rfXXrG^GBea+PZ)I5L<&xr{ovn^ zz?n_^3LWQL)?$M2vMl=*F~_Cd)4O!_^`p*?x3jCOHA`$*(nudxi)b@u6jxSO zaya}DpcM0~pT6L+lnJ-|Iz}WxlzV`E1c!K+pPvNaVW^}9Tz;c_Y)rlY{KgCrowe{d zysT^bxN-|hw;5-vga9zVJe$AD0>lW|DknF$&v5+cfW|<@fen1{9cKc`xi^*{?{>k{ z071MdA$(?H@}jty1@Rn=7uwFO=~Z+ZrfgT+a$#X%I$mBP#Lu<0S4bWl00^jN;(fD{ z@v?O5DZBWUatYsEuG-KU>*pt+5}WNbhSGW;oLKhQb38H!}I~7}e#&-Tu|7ss}OD;xWME zqacuR^k_r(PJY5t+k_?xEMk_|%ve}hoe*S- z#-d|lx&iyy$+$X4`!C`OXzmw8%vx>p^H=tr@6;G{ZL$-WaPGWtSXf87R#!$Ygq^1T zre3Sy^qZ+8lm4-|7%SnHF0btbHn55hRaIXXZy;kS09P+l_=&_*+Tb=va+DL^>3Uek zQ6eHDbSg}5cE?heecfkBD<-&odv{chI6sQsC?U4i%0K<0)F&P17$s9Yp>k3pc z0G*r`{eJV5;D4Kw7+Zf8D%s4FwRi=itEYU}EBzC)o-? zbiw&CjUU;Pl9Nrx3pMLOub`lyfMjfuQW(H3nWByUm?y-?2P5GtXv-nPn^urQ?(Kv$ z#0k{@e{9n}@Kf~HJ_Yc0z9f1=OlM>ceGX}WO2q5KKVRw8H2o&65UbnJ(6I0|_c1cO z0=OIr84yW6B4K~9u5o-i8tI!n)txyUxo=nB+<$EDSfL9+4>|xmQqpj6K)WCHYX3>f zGwjzBwshS$r!|kPGF8JN%H{Lil??Z>w#HQ_Rl>Y4Ew^g(mv#f99x?0FF`(wdew&P1`$UQK0Idug2!n?B(I7({UIIL=W5%TpNp z8ZV1L=v!5PZ!ZD?vK^E87JneaRrOSZ@y4I5sE$D?!Qp#k2ho=l#5308g+$_~yN3WYp0 zkN}h>Wg?qF2M`z<#FR*na3`w=2$l!D?4N9<#(Gq8X+_OvO%k>tcDkC)v?L}b79JV- zAos;_7HNIyUy_YMXE6W<9tG-DPf-F3!&FfS4A=gQg-I zC?_Ti06l#~keTEjLHmy%`VO}vq{nNS6BI^sACs`?R^9-TAc@C@fL=K@e{Tu}3_c_@ z)D#k~yoyQ>k{Uw@1e^;%c$8Vx47TR5VA}!#0v;tLi#9MUI`#&_!k?J#B*4!L{Q4Mj z-zGqGFf}u)0D5a<_7e#difKab9YE)=HvuG&pomb)E=$hTK=xQ|XY%RyTJ=BYfvEo{KXV2gCt%0gy z64WW6w|WWpaq{=?Ll$B>KE8KbHwdy8G>$q#P_vxQA#^!;c*ueZMyup$NKY&^ors8j zS_L>lc;^D}PP8GuT1a*hZVeeC;2w*(=_SL-tt~OtQ#(Y90HDbF@Bsl`$ z($Y$XCc#y6Hbt33-fBXotpGKbi1*$Nh?}w?p8#rwCPBgZKN^O7Ze`Fcs#~Idq6aJg zGC4_#l&664I)j+S@8a;gPNN%Rup|u7rr{!rQ#!b; z8_nN0TQ5;LiH8OOi%ckbo0t;$+Obu3*uh}rldpDg$dHV)T3n&{)1dY7E(~97rS7yV zR@q0to}L`7YvjhbMs`nDJ>yF6zCfE=3Fw$IvdnyMziG>abLb)UwPkzvSBHZBsXZI& zL8*_nFpm@7*102RdWO-9pg5!UzIIuM){yu3wX8=yRoqwYZ|j$IsE-0Uh^^<&(8qX( z3tRGkJJ84Wbb=PCJn$+&lP51BhEgn;Ix&*NTLCZY_;cG-1M9U1DiXk<*BrhjC^H@^ zF5CSxvM|}qPi(jy_?+xX5QwQ*b<^zi_)N6Nl>Mmrs9QHqalpi1yru6Iy`bVcqsYn2 zrE%HkD~<^NoDh72B~@HyGo!AB3=7-&aDr|SPt!k~3h|VurhB)fy*^==@H%~IXjle% zmXh3#y1tfK%B+E&aTo(a*mOAiEI;>TQG+W$j}v1vZNuEX1$U=AUd^A={t?e<)CIoG z{oE5eTJ%uVvMnWhy~@F$bS9<#~@1LUp&g?abfDbm3R-&R=W1t(?5YZz^IPWuK0-q~u5tZAMnV@CXGk zu7sV*B~2E6PJR=e_&jghEbUI^{r8gaPOCaLH}r*YWv@wL zr(8aBfBsFlMRu=5E~!?49O1MQ7+GPtf>Au}O^GnJ?C5D0mq{W#!aAaC#$F+gj;m%T zY?fv3NmxHdK~Nvrg-z~ARFjjwdZ6oFc+xx0^hm!*z=Q5f}Im>pk^@>oZyl zj?{POMTBeG`c6_@EP96KpIhZEBc3lS6&qWb#oWFsd~0+;>w0LT3PEBl}HTpafW^<0<>jGqySn~9cWq+Bdz#!fmK5vQ?H_Ko zQrgMy#CnvWD0`q{^r6nTh&3I zF@1$3dsn>27L&Y6JsU)NtDbw&~gGewFRMc%qF@hJ9z4g1}E&z{~Z7DM~RLazI~XHk<(ak#JVMNN%+O%KRD z=pH=y^z0(gM{i<+$TQWY($(0EF1~2-e0adTq_|}F{I6>RU;n^BTt*@qv+ZADt?kMU zk`M;ww?Dhn9=I$Oc&2CN=?##_`o2rMm6=cPdAK{O?7lo**82zcj+pa;hTBOXmE7pjt){<^c9V%QiiS}<{I6fH zww*`WB^g>o!fzVb>5@{&eG405{k590xWpchI*`hK zrsle8#pT6#ytyBrDIub5d>rTI-@o;j$Gp|ssueMlT_;$t6>^>aXq8 zb+-UWo!$g^42LXTz567#v!%J!B+w2U>EmG``$&BwO$P2wgdfQst5(_hBdx%L6*K3p zGVaL=e`c<&95a7ufy)*T9J;GA+6HF<$|x#s;uOB(o`Tyw&SzRoEw}y>^GRm1(A2uQ zNS4iQn>^HEDE*jocemdnoS3~sBIDtq&x3L?QY`F|0;St-&%WJ|==$lI$ERezpRcub za=R1Ft-W5wH_L+C)=x0&me|@ie2PHd!|vQKk=@1%W7@Y9={(XTuhKU;{Rhvizcq2T zq@3e7R(ndA9~Av{z;8|eyuprYs%k{yW^ED68rl8xkrovgKPn=}QlxXV^-@-P^(xaA zP42+SJ|e;OynJPqsAdkM7>iAASLrsd^>9D*ARuq+1|4tF?A1rZM0&E-eSAZaz!-Pi z?{|fTv4-qtOlCvBl%K9}?fiNB;HQh>g~RH`#LcWFansFYO?0E0Yq&9ADwssBmFU&Q zjg#@4&_eHmWXlK%e|MHd3QyQivV4C_$a;pK)fLHM^HRKCpH1wfTzom$&nS?(Dc#Lx zJN(K%o$bu~FMlTjA$)AqmQ!w2er1mNkqx@V-HY9Cb)C-ZhV-&urlVXRm4y-{Pd$}n z@;^NOBk6*AZP`IiXQW4GCxQLzmQ_2u7hP#yYh&uU%~=Kq0jcTcarQ{B#&g$4e@^aM z-}#(d*0{B}yw%n(7$8t>!jz*PI=T4h#HV4oIacDy_8w#5!xh~$L044h@<;`ojBCy! zU%dkDm}*|l?7DAyLTS;kw^q)}%Kc*Hk6Pjn8-xspwEp3z)mDd~LmqFO2l=|8!Bd?{q7={`!al?WD9m&79rGPVCMH@Vpak~1C%c0=2lX$@UBl;sC0YZ|q z+>_8ObAl!tFg6Tg;+irKHIjc~g#KbH&BUHbknn>3>#motZ_)jL|4`Xln3_kNwIDnM z3SOopwsABGsVj&W_>@d#Rx|{C4u}7#8>O%Zwx8IQJ#8`3KOUd!`UbCPw^rIfB0Feq zZv&JOm+DR}jr!->c#(_6Vt2F@bOoHyge2T! zdJa&Akd(n~5=AAY(F!xU1}@OI>*(rgG6quolYdN$zDPp~9kRrz>jd4`;`?WEkRpc> z(1QJwC;+CU2E4m=lg+q+lH5NaW2xa4@;4+0T>q^#^qti|aSOV=5o0{^<6d?nXJQ`y z?;n%Hv0C5!&)=|Y7?J_W0Q@bA9HtrB)0cslr)4fpAzv;eInz_TdOr`O0Pf9VhR{ZI zc3y{M2+A8$E^~DCCr>n~#Q$?pWwF}bP$c6M5(Wd__7fDVAbpeqKub+SBd25a57%qF z+02hcZAgUgqRIcv13g4izr~LX6wYc>-pD=D)hp=FM|7EjptFHXX8vnxVj>z+A)vw5 z#t-N^s4BP;U(m*(1D@lOB7e_kQ7}iH5s8Z!Hv1GD+{{C?nM83W)aKI|zTszFY-lkDy9h$adL7Z=YIf$%6zx~PqmV7t6&W>>41wv z?Q;N&LkbEQ|H&IbsuL!0S9QwUdhk{LjcDC*af_Z}susM~hOgquPZmBBsst*)@_a!7cl>Z>fE7qDR%<59Tf@TPGzcl%t;p`gP(g@;Sk?4G++ zpF$8ci=7}z_V)G$VTbLiliN!+{}q)zLKQ8K<>bWTRXFxLnVUsy$aQM}w?gLMEi1ew zB`2q4VcAHdULC*Jc#vj$M!vz*rW_vA%cSbJml<8Kd}zkQPK$&oyodi|4gY0JA+@o( zNNbd1s8Y|T&q|Qwm6n#ik<9OiE0%E!M1lHEUKN>AK6%i2w}1ama&&a`(@7vaI@*5q zbuWc#3J$Kl($S-IqWeXtApXMvOde!S0|_un zqEq{emZtDSX=3UGNh5_kNXN!la_%Z<;S2)d3a}EW-rh0?9&M0;fRciNX^-ve(S6fZ zuJRXTq@-<-E1>sFOn8*5jwIOt{j+ZC?foP>Yo@i99ssv?{RSGE*|(2M;3Q}cKk8q! zwMh^X5t#rRfOBVBxTw4w57-BJ1%+z}b93{%FnM&mJ?}W#HYT5Drgg}55sDuTqf0}e zcu#uq0tJwGicd}pl2Ty@%EI1z_pYm2>>nRHu8xd-tk>98(w%K|M~)FyX51&hsH&^8 zqK%Wc*!?DgR4H+llieSx$q!T zeziC8GAL+adpj10iY$Otb!wg^^ykfkT?RMR;M2+81t~vBL^{9asf;$bT2TtRiI@Q*3lI}#0ID+$UN9)== ze{mhn6aqKIb^*6lJV+!TV2ls48UC9m%!ppdfq>QaUh#h1Jz? zxJF1gNDv=kXwb-N*hC7J4}btF0y*LWz=ic#K0b({IK6g^{|zC01jGy6fSmW)4Hz-< zJKL=D^7q<19FPFi2fFrb(6@pJT^g9La*F|C_!SZu6F?v!^}(dxjT<)*`Smia1Q8=Z z#DMM`=|(NTctAP4zi?m?%{A?<6$>(GZ_vlut7#lL&kA0P&p5CncC&iNowGfHr=C%Y{co6dX1o#d2T< zNHGSI0fXHB9A><0?s!1Va$md zNw@%1jl`g*E`i(_OyR!;_&-uJjvR#mO3M`BU45odygPeBtgcS;si|C9558nGxYa=Hsyp_l?_1XqBy%@!eA1>XNxnyZ*{=s zEmlmUDgX~d4g+y_lRj2bvOqu>=qZe@a!GgzP-JgEu%mr|nol;kuKZq8PU3hGP0ss@ zvl|Bc&~4{intxn^X=vN5yCZZ!<{f=@wV!bXx^T~_VbG!@W#)h|_4ngaiw!~r>AUwE z!z_vuh?1lAvey2ZD(g|&iEO!BFqK3`Muv@m0l?zjrksV5qy$u?Fc01cLsO^)8n3R- zTCb37gvFVGzW(p-0w6)+-n~PG^KI}z$_Wn+++faR0p!krRmE?DPF)Is%_4nFEvRd+ z#r8;nYZ1i=v$Enq7C71IytUL1{`9YQ)P+s_1iZ!Pt0l48&{Cd7n|i7RN4w+#$n zfo3rbVj-YmnRySc063_q_%RHcR3L2SG&D34YC*NMMi>Oi_%sQKO+*{eKTB_Je3%Y1 z9L^Ar1tJVNXNxpscrpH+JJA^dr;q;V@Y_#o-1pw|5=rP%7z=xofXczgCkyUKSUL|7 z>c(6%1Ju9pn4vmF; zTfn?n7(|V&`Bo#dSYY8jDpPJI0NJs#eCsbeaIity*>o*uTf(|iK+hMBeS#4mD)9hp zUtixTZ@AOcw6sy+nL&=c2s8nZOV#Qt50YP?PS%Wo&6(KSN5ke80WyVwqPBu3c^vlB zJR*K4cnD;HixfY>;naKY(|=Tauf9%M00Us1^Yhez6v~0LwfM_?z!?tW=jtjtl;X%5 z2;wpvBnK~V7yrCp5JfE9a&Lg$8I+)d$-Gzv1qCM%17M2OBUj83 zaubqWfl(hiQPDfL6U7BbmM9s+VIcZNl4=kz6jS(cATm}yxFTWELBz=i184OUfYExN zLnc7%LxJ;RAi8C97f00kgobkDTmW#5NTolF_4WaR-MhE9M`}iNeGNi` zm8GR+G00(A1O$?z?+Dj+Bl!(xMn)3|ALcL?i=0udc{cvaezsAwHV~-c!HJ1?(6mnN zwW=4y!(`G)}X-OrN5)f2E5NRZ&1*Ah-knZkMQYjG-P^1*;?k-UT5$SHEyF=j2 z1;4%bcgER&e24Ms>)_$J*Bvvid0q47wW7Qf9?nf11OkEgL|R-Kfk4fKKXq6b@SVla zNlx%TJ|~H1PAax0POb(H#)zi|PIgwdPFCiIw_J=J9L;TQ9^U7@&(3no%*n~lk)Mst z`oDkRzO92P8&^?T4h({AC#~s-K#&n5|Dc#A_rOQh*gO$`tm>AyI_~Ngt#*#FDe(Ep z!7F?%Ze!_TIx)hLVx^#4p4YG2hte_e674zrVbwDUs|IiwZwP8#dHgm#=IJnNdTNdN zN6w!|r`d5LGzV1BM!NE_NIaKw|HC5iboGp)L%$`CbAsJZ93eV?f&xQnwy7*Xu5LK;2@c9 zjZ16TjfaF(RMsmTubFfv>=F-z14U76ZEc;_$8MCEbT*%!99ZjSkH_=aQk(oveErb$ z_fU0=h2_HUPd%1pHsjUo337jnlb?R%HkkjFFjQ);Qe`zcar@4lmY+YLc-R!^R2i{DXrr-$h4nEhPKS%ti`J+S#$o zC-NGUjL77ebbc@!DZRHmkY`zD{re*iL9*92Hd;0wt5&J>@xj_?MUm^qgu`&x*QXyh zf8I$}{peS1*otFhYARddd%CAVp|0Z1o}wIat0BK%zvQ&zp7zTSyxLczwyCg(5;X^qn`-dxTpn3-t}eOB$1l_yKf+-=4= zRBViU9S2>{V~GLr{$;F8*S|;g`y-YJzmO0t@^DG*_o}Qg$%n9uO+!U5QhS&F)Vez+ z@;PF_l%!_Aho>9E+andWk!)F#HigRenFO{e?)LiO}H`+L!e7rtWSc3LYErwUM$=or%#=ijUmZuY!Z6>Q827 zXSeo8ZRvS=$?xC4Z)b1+7>;bheSvDM#afN}k<5OJ!^6X=ZYi49nvHtx#j27A4<5KJrN{lLw12_N z$JYdA0yAjI)hv1Y{=NDXKY`wm)A6o3*g8g;mgNn#?U)o?L-^c@Asll?WN9Cg;E#3>=~N&B)wozcI{&v55+2T4i~*(rmW=LwvLBe7Ow(t+QcIQN!kaNugE!UE?OKr)EZ@T^?wp6>kc)li&K;x|!4n}44vsfE1-HqbFfcM24&-Vs4i(YY*40ffE`}WMt$YUOcvkov zMOj6KwcL4U{wbpI+v{sPpK7$l>2Ao^)Jr z<*DiEml0F~Ga1P~OuMH_iC~PfWoJ8G!V>odeEzw?talf?Thavi_-@d6?-GraSz@}n zx@M{}9iE(gR?AU$+iE2%@;yIO?pIfy*Q?*$wCgL-r-6_1*DLt3{kJ1jx8lo&=g!G} zIyzJ^-Wh-2mD+-hS0mIh2dCR9D}x2IIR*8ill9)nI9FL&+1TGt()p3+2Ze3zOYrB| zf7nb6J3IUkf_VA)4gVc(A!K~weIY7g;o|ydWZcow)$Oi!w)8sP8*Kae^IrGKCLD&_ zY&Z`gB_(omc?ASMYnGVAa~R76KJxiUtZM!3#}C{po%@K8g(S~>xzRUo-Vi4xC87Eu zZt3Xg1cZi$I*oR8$Wrn<-JSFRH;j8fTyFhwb8n9X5l~W6qL|a))sZTmk31N)p{(iM;L9;(8UMqQebt8r}Ha0e-6)SyN^uLpZlWptT+N8}BoL2_0 zF)=Z-B&DRJy6Ze$&4)h;xN2GT!n?3S97LLWp4QBuzHjV0vxV^dT1{1zW+@&8w;Xx+ zce+7AyD7h2oyw{z>~!UO<79+{x7Nq1RHk-3)<(Fx(|GglUc5qzoIDf5CLreQO!U4PY7F%XA=pLfP|ReH>&w`=~laZEe2H^T1~M?_UOM?JU(d5Tm6Fyb*@r z38GlECS6Ia|Ni~^qBS-?4sMv->g#T7V)Di`$(?c1QkOCMNriy(@@i?9w>z%(&kJv?|lv{#}XD6UV7Ns-Th#4@)(xz zw%l4zc*FAS@%%vta$^>~=ewd{5p$lMWV?d&0eAOSZWZL_vMiN!{;M=JGz^eqyarnb z_C{89rfpjnyW!dX@2D?Nn`djnbA#k))SPjxlvbn`3Ug#&|Q;L$Xeo}qOY8Mt*mmNRobP-KX?(;>TyRQ zDW+bh#%YNT;tvgN0HNe(CD;gw5!26-;o=@1)veX;EpKyjauz2W8Y=CkUpbvaUJWFy z(pLsgK=m{0&yMAFS&c7^1XF$kAwv5~6(*H{i(KtyGp^yrL>(O$mzsrwoZR)Dg|4`A zLEp1~UMur?-7xd3l)Q@BN*TSc`*Sp84P3`6?T-c&o<1cBr{H-%aK4n0EG{GS#>rPs zF6?mrqwTk`Do56V6F?AO2!6redWpimdgNCzV9GqU6W7@q{uN)h`{ldvj>%kvwR6@x z-kXe6vFnq-9o8MNW|_5lHZ=$d)62_Dq-=UD91kA`5{iyB`0C$gWW=EjIQ$!@|K+dH z`9DYdgLPdP6T|;;BCow@Kwuy?BF$xOp6HW_9U;J+PJ{ z_Z^e&LIW`rk*m~?cqgloTa>h;q3^9`#(5Jaaqr$eLjY=`-~o{*2L3J7ww<%5NuKL`C?XJh^;btL6g&uESL|oM;}tz`LJb`ZDSP^X^9kZT6@j_A zxpLbh2<$IcV)woEdp0!&{P-b*Z?zBzhjhfT$@)e^Dz#r7deB{AtG~2i?Bg5z^?MqN zem%s2$B!SAt|>g)3P9YdKRaF#9qc^u7Vy|LTdHAaW|sZ8+pEyr-K}&?^z6@xU00Hz z=>0fc2vbPJV1Ih-Y`~Ea@Y9Hxj7{%)OAubPPs~`Ydr4npcM{-TdK$0Im%Bl)Asz3z z=y`2PETMJ&OaGuTk+R>;T<~lx?jW=QqBy!wA<{0j=3!Gw4-y*sAQBAKdwagN4c{#wOm0#L8OQ1C*!V@*obDp!gF(T&&EuBtTX$UMLkz>4Dpo+&Th4>fSZwt zG}Vnr-1{FJtJHJvGLVNFSLJ`xv=MD?Msj^)23-z+V_i+)1t3ySkYmtw(LlC#r z^L36CPfCNr!mcj;7=lr4>?gtPAvny0vXNHWm`@&%kSK;4vXhJFsOMcl6u}NF4?c_e z^G6XylZ(eMm^Smv=Hn;9twNK3-GNxMw?2dyjQzD(fl=3JUsJ%H20dwppr7>3U7Ckj}j9 z%)~NAR(3jrYGF>j(XuLFJJqw~H1qFhXQpgWFS=O{vJoq4;SnwmFK^|awT}&nBY^yj zs2t~i5h26@r=*w9%^8_b2G#`!5T-dU{3f7MWCQP5wX9=jz|Nfivk7sEv??zn$wLM~ z2(U7}uN*u)tDIRQ|9Yh!M6=esICa9NU$d}IqC1T$jhxU1n(EB%JLeQ#wjDkkO% zViDXRwPSC&A6H~OkTg*DS#QycAE=|TG7Mf`UI>v9G6V#YCBqmLG>n+ad8B8NDa3r4 z_dPqpXXATT?G#m}oji>pOZ3Bosv5g#(bTSw4GqFjQKBPy z(4|GzSB4)UJT>(!(fJ(au>8iN9s%q*__IRx<6k8itCs5A>_mkv4Wi?RHMMOy6irw- zI81gY)YQ~&yWLW40PYhJ5-Kj9%t6tB`TR&IOJ>_QTRB$kvn1Zq(oDV_Xn7g=2Qde>92Z8({mB1cL9TKv(B!pSjKu^p928D z*!?-UH8`)NQ47Z4gnkLa7Oq+1OU-teY4RdmxwP!1J?zM|RH6vFlJWA{-hVJIhGF6b=?2c?0XAlGZhl zo11GGmlZbTuN4j`LG~QV(^5R#T-Q?|KRl~(VI{tHEw$ew z3Qq0t&@GfU`j=qyfa1tP|0BgRC{xAPmqc67H2&0X?%&@KIV~zG0%V2?NHGjDT~-^R zMxSNtzp-%g2WjG6qy8;cv2oizkqI;hPyx#9R(8^+rokCJZ+lCNc>dsZ6NG^+z?Nu* zlzP8@0o4KJ@^`3VH=$ssWnsDc`}gmVh=}jNRv`D%w*Kh*^4>hv^4+_4GaHxO8~$y} zA{v|gF^R5Sqi3}xNY0QL28!UiJcK{vL_tqd{!jQ|k3A<_ojj9Qo{x8lA%^NaEBch! z&3nF}CTr|OrNZ7q>HoEHEoQHz?8T1=hBK?YH{^;rQILj~;?CiGWXr;9>qI4})PH*F zD+xX!Xc-;V{;<7mfN%cDs#7MNcw%CLKuvqX`#RUYiNV2my|*@hZM8)|)1#eV505O` zMrRG4o}HcbG|Y6 z@3~LZi(}G#E!K{cFH8oIIKd6sofZ`lRSPP*P$qm^`QV$%W%fq|M_vN&k+o28E@VG+ z>IpWybmiChRQ!mxPx)nE0L$D#-+9+J2Ga^oIuYF1A--`#bI}14pYm?uDS)P)hEZfT z^Bz#Iu+d#o>_s}QBTKj>z03NT=KV4?wfTj0h-Z~h0*d8*JlNCuFsP;UYoQ}{-qs>N zD|3Q!XLh38dQ@z108kgAY9qE*@TGftdipfHL{PU@+uYo&2-Hfv9AmCdmGZH$;^Fkf ztGlr>z#*WGR@eq>=djB~D0y4McBX43F8n#cKx>SHOA0~V6-vG)WDmFHdRxIfH=;+(T#4rfU zG7S#K95*Dx$Wahb7a6>4cs@HbQwZq<(U__9Iall4u}csW0lb~m>x>UOySw7aLf!}j zGRWyXo&lRL=}JQ;kKk7fP>Qz4`-%C8E)DqwYYF?6|U~2F*_*kKn^2 zcMiX?;Sy4oXNq(CrCNCs8!82Qbzd5Hptd5d{0&5d?)=UcG6aU*K)Y43&^H#Ht$3H+ zV|NjCuzSfV&_*FoT~^SSAgM-+bY4$jCr}YGSKt|s!<=;6Ux#nszZ*iL@8Je`f+@3K zf#Kl0iuP7Wn}!pnCz>pofvx81#0i+=pc z)qIF}Uzce;QW|xC?qs`z4cE&T5LN9T>K<@@^HZKluacpJ{_IuLoLDLJ6q)CcVSCu+ zA>dv|!mHLoR%D&V?=0hWI33*cEd1xspFO8g@4p}M_xEQF8s_ynEaYT-ZjZJn%!+;0reAz-)GBtGo4oImA`-M>uYzuoJ3Ia(IFktqAycv@ecz- zUQyv*Z%@xQ-q0u4Vm}D1Zxn=%ZcmaInRX?`n%D!?hh*WSTM12E*T;xtGfox<3z83kq)VqY4wL-M>w8uk|IjqT45-0+ zd+PJ!6*lv>&xM8Tz{E<>im#u%0DuRqM@}Ew9@wqc&Fn0RP*Ov{W29(%G{QbQ9~9}> zcH%z*2y=T`B9f3``s&?JqnU7?2|{3Ld%TB-hi3o=%s?0;g#xOL2fx_eh2@{^>W`Cy z4P07>;L`*yOZ5bdmpK)?-HQq&MOdy=#XA+gQ6BPM(}7Sxa0`8e{{5FC`+DzMu_F# z>1n$0FMUe)j5)MMKP^9WT+(N?jQtkQ_4g!DLV%`O&~}CRN!si00qk{wprxGihlA6# zsVT)p)eI9%0_vD$rMuUWq+=SOz@z2&MP{CEPQao=Jn|o^U7M&d#nd z-n)Qv}Ot%=!GAZsEDu`cVH;IcqoKc;LCeDmuyLQ71IH z;59MW2G!ubr<~98{4A0RG7W=ZGGF`=gr16F2iC4}&cmwl@@6 z%tMtvJvDX9%iFsZS?7OMNKPuqXkKlPWu6Hn(<2PO$wh2Yrd3&8{RZY80`C7UZQ)iy zFm|Tsocv3uOQfMvV(zmj%hYeEciZdNkbvT=Xq4Y!F2rs7=bb=cm;itxqmALrx7R(B zsgKaI39F{3frPwHOG~SK3mXfI5U4j&Fwv|^`&r4CE0B|4^Eu8V$?4ZXQDOy((n8v6 zrH_0>hvcBtbDz=f`NgO@V*%_2KJjU(&A1li3|#m*ppV7DgIg^N>KOOe$F&!qk4r^R z5<$c!1dN4bcsR{_#F5(#>d}*Elo-Yo99kr+=yra3AOZLyoyHN$OENeLB3!cjESsmr zFMi;6L$364{7R;N5`cY89C*b5h{9kSgaFFuZr>Ka@NlJwS1h{Ks!q#&PXL@^@$m3$ z4ZVnb4XO0}8e{ZN3l!&xT6g7BD38$boovfZyQo18x{72uLx7XO21Xquk-Lx!k@PTY zM97@lh@Zv!9!s{y!DD-S`<}_UCTw&_RSm#lk|T-Zt5-`8r?;m(Ssy-B@q(>R1CmKJ zPaPNJ)b0!g8uRS2vfnOtCT`#=e0<@illF*5~eLb1Rjc1!y}2cL)dw zK-80|O*+b)_CrD29cKk*1K*b9Ujg` zN(AFmeW7^)3rho7gAD#iR-8c1(wOdA+M5Ukq@Hb*QSG$!ie4(>IfVJc%@zV{-H7pN z31y^WO|m%Eh&?HiD zKc2OtRQu641?14i$h;QxQ#q&K&c#I%NQ&#~pe05C|8QNv+t#`DLKinO24<@XG*~;J z2SEcQ$jZtB2a*C+5LuS}jK0$XnPR|rg!RAl_D7iimpb}gYh4kw*^Lc?JoQk(t|Qgg zk$U{cD(4ka5M>ByXwLtvaHMD@sOLxknVr{xRQj{+vWBxlo=+{$LFqNiq2)^nUOXqhJU_L=xol@pdQdNXCa5>O^~R|t!jnooP>QxqAX8`mhvP-p zL#E=n;J$us{fhIFi*96f$kj-3v4Wt#%`D$ zkW)>PlpqY5`clK+VUp*vKSDF!)9L=#^#rEz{0&VSrE5%#iKv%*9rJ@ns=i6vbK;#1 z&!&}M=H}hLgIs+BuFIJcA)fEklsvHB;9PP+>%s{6Kp5zew8vD6e`!C>8o>?C0w)tu zHaxo)A^z9!)AFUpaSAS*GcrG%Y;VTJ*ZWpG)kJB~QzqIGIzL(-`a*s2ZkolaaPXP` zjT2Mp3jbPv2@)r0`|5 z(}KI@jO@oD^M?Rcz{(vE-7M4w0+Ht;L4iSh=yV>-TU^BVpJZj{X_p2h`e?B!=GY}Ui zpcKmx&9^l}%22Wn%o`z6nhNYgyU0WuW)${;)SMI@1zw=4EF~>lu&bK!ZkBXChxo zn{kFhvfejpWFHL^CcHU(5+T8By*5~_yqowzt({uc*Vi{7I2a1BZnJMdBcUKbI1sNt z0hQ@hN=k~?TBOi%rgP|Rq$58U#gZF+i062o$Xr&oW$O>0oEqeaN1?uN$7C!5V&aYW zESkzw-oT9@hf>OrrwRxNn5*%HI2q4wAX+sb1wl-;JAg30+LLLX>f@cVvOU|-y4ij8 zY&#s)9zU(?jvGsm@^3}|w9>(YQ&u{@n@ zqL$Nd2v2NKF~dvQxZfC6ZJ$p)WOx3hal+maE*s;%E~_BtOtP}V;2+aG%9LQtDn z3x_bQn&oF9RI9JLu>@2Di;XYTGUOmZ!@^NDGzN(`n1PON+>ehZ=Y+cA+bAu}i3yMP zir)AZlh32A&wcyP8ea@Ov>|vzC1|Y?Pommx@D;}aWGp0CffI-d3Af$VS5c7=q$Gb} zt!e4$(V#~94muQ)ri6UG6N5mW1*cqd0C2>HMDhYxTr!ELuOo~^u?$w|at%Ofc3a7- z_yfAo>R46Dx0UfaPcl~Ra&bdLI#5xOIWaa1-?3{Mnj_jvsgRrYDn0<4&DQq@uEPD8 z5q=DpZ|g-h)6^KZBaUdy*R9FbBZHlaDnq_$?fH`~ z(ItBv+w=QcQI4IKy4nn7A3%yJs49SHYlWOg<8cby5L(;XQ)CBMu@s|0Gp@FNBU^@V z)Cm9JdYJAD*CyRHo0j(60+}nSJAn#fL04avl$9B`YuEwiY!18en<#h#*JKMF$eZF zM(c!tR#Q@0Yuy!>)`)I_Y$IOu>_)y!$m`9}&OiivTv%9$8V7wsaI!RSlag$@lcJ(t z0#}C(JvshBSwjw0CSte-tB(!oHu~nMom7IAq0r}@CKIfZg0q|Qfi2>upaN{cSSim>Fj6GF+OJO)t0E zt2Q`UT(eV)^;+F;&s4@#{Ujd@kOKt)uuyx^0m{2ZXwV4-apqbaoBsDGdZ`q}yMIz1 zqd|un3J`ycsAy=+*;dGP)7^L~DL3|rsN?L&^;PQnUiAy)$VzIbmL^QjBH%;PGBQjq ze1PJ-j{e4xD8kB!l!nQlN(R{C{CHEs{H6TuG3^kyg?1TMh6oAoWqi$MkH1RZU|tLP z&XQ2w+C#pR$(aDz#;2razXVxwEjUGeUp4lHXZAt5wC1QKk@ax~?6#L)iqdw;7{#VAdYJbl0{8!L}XO1@EeFHfLY*y4&H{|i1+>zbm)C|IVhElQxl|0I2P8=4Gc!2qNAhP)wcO|{N{;_wF{WnQoCMxS^32XmJ z3$Omds}85q@G4s-P0P}G;pK8rm%=^5ba;p<*lc1(j(OH2@mhF9@>E9)IZm1`1N-A$ zNx`53s))`wZdq#uZXe>6-~v3yLA9TLbvoxUr(fE$yqi+u&kZN?YLmO=`os6j@GSVTEQ9h4cv-Iy zY+aaGw3QflQ0@)z^JJTS&KC0rL;lF#M^*e{ykYWU4=fkG@q1->?nYQX6vq^l*YRPS z&K_Lg5lziqqHRu8@G(vZJWebXN2TnQ+DfYzo#K~Mp z^HlCxE_1W!R|%;mVkir@<|38FV0|f?U#M#kOL@6P_ssUR9#w5Wp{#XRw4fNYpd=;G z`emmj2?`l}_#&u)a)Tj!_~t; zczl^hW$x<6MffluPe+dWN?TtWmHWnq=KE6TJ6i8Rv*|nJqOSBfnJ?C)6-e-U=dU?l z&G_plc+r>ID&3o&y0Kl)>#>m8$DOryn}xFQ?Q|*S<_%UZ@1=`smU>)#)`7SxfPY%(;n=!{-pj_$|X^)+CMeiI(8IhkN8>+=Tf3cfW94SR^e^;=azv zwTxK>S!)%3`KAi*`m$q#Q0(yD)>y_?LtL8ks#ectIfwOIpL7$gv$4Q;GZ4iBs z^9FK_>ZXMjRQq8Up(nfS+b{85oq=nnGhNcwDgsYi$Ald7sO3>^@pB&}s+1`!nO(g8 zI8Rk1I=`i=k~3$}u;9X8GDoVD-Dw2h?-yca^ztjTBu+TCGbEylSjmvSEA=?6%#tmw zjr@2Mmc4%4^u4U$e#ioH%}Qlox-I^^FegZS%FA35>kS@kx(_Xo5X+;aNTgtTjrIMx5hne!kF3f{<|{S7Kar4)#TCp- z4QcOvzsqe5^t^FESk8HMfombXoFM5CksRo)ZU7iWr%$F7Yg0swMgz`{^rmv>Yzp_T zy+kM?(t>Nve9!$0(k`uAO~28z&|M{4*MB=Aw7gGb67(zgkDbLpT^7N+b27OXoHrDi zNjB|ITp8~@t;UB5gnQ|BbFjNs_bvxqPN1}A$(0BuK(?VDGa|Hp_5g+`)qDyTh*5zT z5LY6@Ps8;j2f3|pJEk_Kv1oX>w64qrsTgy8n7{rU*+rhlv}$v#8z31lqddcqWo>eh zaL7CNfO85Y zEAzg2d{1a`|0P~d+B?I`+5D9sp+e5aqDL)jZKtqnYvS6*a3PZi`Gpgz8js1>g~RLL zZvT+B*55ru?X8ioFi_hqyfjXk%2*HFRHD?%_g+sePKtlTxmB#xaOb{}@xRzFraJAc z3c}*sR|Zw`Wv%rO{@t{7bsr59u6-wzY5C1ZX(u+a>O4M`Q9GJC*k7f#$;aj#; zRlRP+p;>g^`GJdhvRd{%%VU5_Q_IUZK)vj4Ows`5RMhkt>io3g>L>>^TB7%Y8I!wb zLDQx0a$*ECfi;4zKekOFXut#(4h@myHiI2{GT}Chhiu=5e!9i+8lK{k66hS)TOBUJ z1Vq#Vc(J3#33j;n9mPE!)V&5 zf(e~vG4q4tAod|Ut&xr8z=cDj&I1JUA6VGffF~d3>o?#7*UPac4BgTQJHW~u*1^b_ z;wpH=FG?qB$GrExkGr7jk=znzD|}F3u~C|gdq~6G`H5cOu%yAp=YM~~MIc*^zu4g* zfX(|3{p%qyG1pnNN;3^Zk){>w!g_SGnr+F3NWNj^gsR1yL^&Nb8?Yc~6DSBkrO_iL z#l?10jVOr5hh2}NZ3P`i2lBL;Q)H0&BQO37xs!emRYk9jto7u<33Y+9S7(q~RGC`4 zqatnzkX2@7TBX*bq<~lBM%Z+#uY8inq@khd15s@f8cfU35Fn`wlc+O8>J?1Pd7?oC zHY#B5`lX!a_}nj!#&Z}>-aS(prQgd<*mmO{VyrsW6DuVJmIM9cn;@DwIB)cQaV6w+whDs2DfP&@T=A&Mq-GG=B``mqto11&`6#9Hn5zsiE?S+f9 z3`5;NIwEcFVA0iPQ*=SS7GHWWRcWt4?-zE;RLcosYHlt7^dLkd2va-bFeQFOBXE@M zSr?Y^dgsFq)@!UL!8Jid)%5P*;|4>+(bwgyVN9w}`utA`b2sqME4fenBnae%h-qNA zl}|w1DFRv%IMEsCi)TLYKpy1t1>)bdMo+MaOR*6SElcm3WZ6?YuZ)sPlH|j*c3PD_ zOGO6h=pD8!4VT>cDwhCst$3+Jx6szj8Up8nKEj!RP!0K}3zB6wC_Yd6WqNEDJ^(h5Ct^uShVreI#&ZyZdaUg)Z^FuLqxG8Kv5< z532o_@h?!|nlA?Ab`fQDVuT2-%JbH@B;?(O0pZN_o{bmqpJaJ=ymzsv6!Tq4G|F61 zZ>*SxA>d;Q4axm9W&PU{FyYvateTANz+N>mjR%SE&@W07r9j>ruEc_Id*XoP5F+<9 zW-3w}49s>?;m}s`FVJml%{BWwe=IfGz$T6p`pLK32;l@=US9<6_I~{$-_*fkJ?Z{* zRIp0RBu)Pe8h2P+RNZCbaBy7x{Q!yb%&R#Oe*R-9mcegdZ^D!RfX;Ce>_sjksWrK%;bC;js%Vi z7TE$-q|)iRBgeuf!aYXedG6)&KKu#ZkTd2J`iFO}!GVu+IN*A4EgR3aXL7tiCevb$ zyx)F{L#p4t8a=jUf1DokxjgRSE3~ocw0wU3x~M_=t-kCGDAWd&w7W|T6p%C4?RSqO zgd1qj{_n8y*x)^yN*{zmo)?a05DUUDx(8cZ%32~aND#Sk=ocwl{p|}*gWjcQiQ!LM zxt?P5;o}@uW>2TQrT<|j>Se)g!)OuprJtTpC9=sHZCde(*z%d>39^I&GqB#}4&cHn zu{Ty#y8sWGO--^lVH^p$SEP^Y^EaK;HODp<)50IAI{<-XF&@`Lih(cYXy z)nIt7zM29}123jIE7Tv?C1UvX`d$t4#Go|@0!{l}ZU$UH#(*ptv?hK$4Tqw`_1#0j zqbozs&SV&;+*tgd@f#baOSS84xbwrZnUau2uBxPmKelA_-7N_P0Cr)FD0NM$zhh&^ ze=`d_aNB#n818}a%V{SO_^~QJSgnhU#>N+>$wVKkj31~IMET+;s%b>`l|UVg*q-`^ zAXlB?D7M7)nX*32EyCctK>rS31Z%h-s97;R;e;L7#d$xt_Tfh{=9qvf-}Rku6Q*5c#8L_3C_Vgs^hECa_U3!>DjMPhk2r_ z9om)ajl7}F37*5vh#YhugK*@0!6c|k0zA~Z;+B#c$(+wwI4+5q>ozR6wacUf}LVS%}Bq6DL8(0Nx`+}$S^OO%UAK8F4054{l)p=>D3G)vI`5$PMA#d zZCTv=42n^C*$4!iG@T1cO*K51zXs<8PekC8Ir$E)mMo0@$jQiovpm@F?uLuXUG-`1 zqnaMN!~v)L*J#t2t>auX!k*%XW>D`I=AZV0SV$M`kr(VrcBQc|o7mx3 zJ1i`OUt|dZegKUK?j$KJBlG!%jb=B~{T6=~prTKvFCHYtk@!ycB6MY^y-(D9_4?x- znd!c+R)VPMD6DSeH9{KTdB(gk^z`A&Ot5EaOmMbZ!u zj)GLOOE31EsfgzMn22q|O|x2ew2nKCQ9RW?{5upSnO2w2vo<1qBZ0%F8_%EB!vrl3 zYa74VKuz5EQUPO1J*Pfl)0^A_DdQ|L1rdK0&jQri&C#aG>x+l0oZ-Lr!PfajZD8+*F zrrbwvJW$vJqoc1urwFn`trogeNjq3Ii?47b_34t065`3FS{iA;jCacM`<2G~sSW4H@6i4gI@p9;xd}FsM`{3pa zTq>c2!XTd4J}s{U1dZbAbIRjLAbz*;VdE`6EAOWy@!F#LuAPxzczBX6_9)lg`kT7+v5=)$NF2b#V2PfQQlx5buR zUTl0vs+}pGDKLv{-dK*5Bw=4_#MH`4DD~2FlL{TV%HTf;=R`(xM_U`4N6V+61@_v2%jGj zO!%IABO2kF5b{>=kD0USmf#mqy^(`<0Bs*ibLCJvZ7zO}oB=8AS(StF%es7mma!6# z|EgKD6E};5m8RzlR2k{-By)n`kRvq)tVW! z`JSDf*it@nBZOxA^2$jsvq?&$&=Q|h4}?gK%UZ7XU0~o)0tnsC8&3{rHp!H=AqZb6 zs=8j*&oqzP9(=Ide239(pY`X<%G)pfEoQ`uZN{4}O4HK6ypcqfv*^BKJq5`!Nz38kR;smMs^ee9d3R3PS1N!+y zi28893wT3TZ|#}JLo`^Q4L?=rWPzF8j3n_)Z}If>975Pt%8i%rmJk=k9h=+J2h2CE z9#Mr-e*QVY5KWaCqp|hzDd;)?-=IAI22Cyz;Fpwq4p*RK8*cwUf|j>C$UCJNWm@6T zg!UOUK51Fm7U&EoBqPIwew*B9MX1OM)$wWV8<-OgeL!Q)$wccaeMx$`x=&uA?U>ME z$ZTAbU?k1M_lEe_XOB+V#}$3SrfE@J}s z@gvJ>x-2i;kq98n)UDyxbDKu5 zJ(~XrZT?x|)aW3&VuIvaazOQqk6+5da&7SD$@dMhrwbprb94WhA&nt@<^v-dfM4_= z6$DI*wv7zLx5iP4K!6^biG3FN$_FVU^vI&C+aL7ha?_jhXM7qKma~%>C*Rk^@D^^u zP+n9u??YI9f6&4Zav7+j(i9TOm&x&`o zO6nUJXkgus7}ZV(HWrEsT3{9s*|U`gt_%CEH!edU@%IT=yNNe?WisV3n$(LMu=OVW!xN&hL+XW0=oQ ziFrFv<)IWNx=tUCk&vF=iJZYtlO9YYDCn6gQhCUfSo7*PpcIig8ZXsaXZ8$JaTt!1z;2km< zYbrDWL%{Bvb}T+2>DkCaBmy7jiW{G7@D|M@OfD5$zoxrWdkrn;@NKy=d?U|w|Xcj=0_i627NNIzcr0AaJ9|}3edw=1juqlM=N4aqG|5XQ9pWYk# zcv;dACV#+#r~>lA6%RgILV5K21y2T>CR?I3wl1W{;Redj*qChQgj8`jFpno%b$w_H zYiZ3<@h4_PQ!n3s6;fnk`g+iLTQ0uTn3yzKlcmf#ZZchm?76u~K#)-sxH~obL4eByzI)hb zH73^wh9u?imD+z4qd7HEEE@#%FL}|0bH9kQ)?QaDJO`!vYKD7dW-M|_P^V~IE5+KD zcuC8}@bKVFvOXWaZ4fv-8eDiMc!V zB@gCwh9MFyM~(MT$gzJAf6eCMpx9=>iJgPLYx93-`+;0oEx@7NkY7uz!;_U{_|bq5 z^aAUS$Ohl{cj&(%d1a&3QOIG0jkA;HbmhGt@!(#4-AT{$FmdF8C*}Jv>I(vFI1dxk zgDryVVqWAW23H3Xwdu?DEQWADO4$TOi#4HjMz3kUc*e0`J3^go3{ghA{N|$Ik9hwF z6yKk(9hE6-Z%Eb^nSWypQW4O2Z}4+y$3htCgzYyxU&wTkqSY;cN#)Tm39smO)d2Z-KSVeP>niSKuIlx0}zi{J>#c+N!ov$zo-)Qh0zs zzspYRNsP<0V)CaL;Mt>{0fa~!QoX+l9TT2PBYJaPm-Ou$&E6^U zIrPYkWxy3M@=T|Czk2M=TFURQD~I*C3c0M@UlU&!O34Nm)$T{WoY;e=ggmMs*0^$M zYqSqn8%GQ*nV<6hb^l!@Bfz35>4N|6p`(=$?UmD<<64W?Axt5HPrJ+&R*N(=P5&4S zjTj7hxaah77cPn9x|=*r$I5urHLPqN%;2cTY%eTkTY^n{h(_PAe3S{>8C56uKd&x+ zNFDMquIb~>T)LHeqa1@tqFb0{6{XAZcR^{(yQ8Wsd**v3&36K(2*R3?8>N{b2yff2 z=4tSaz70>c3^M!?OQk&8+nMy;w(Fnzz2N8^)pzY-a2vRKpy*!{DQOjDd%-Ys4Iijz#( zOs(KvbVuz(O-9@ZtsG8PZ&&D&jLL-^LTG2ZJg+EmER-f*<#Xv)Fn>sAy zq35F7@AjX~Q~mx$cT6JtxO0!#q4gq7IZ)+Rh19Ww7r%oXqmdaNAk(Jq#|A}VIa;q* z&#Cq`1lsKRgz99H7ZNqhgBWt!uxVGP&c?QW8LB( z{Nkv$gBkj5{C2I-z&ze&@icagKLFv}(Mb`Bs65Sw*%KTFbL6Q_o)y3OK!{pc0P|Jr zKjpklSDgB0H9YI8)o@N?LiFp$4S3D09a15MoDB~@74a|7HW=ve@6!!xA^7=8=sT#NcA7>m0l6M**glc z5=;crv#f`J_5=Ih+h>=+_zfkRAyE8(9L@Cin^u%v`KC@y)tmmI-2`P|W&ZeucFE;4 z2KiM`hKWYu&fBO-C%u$5xxgY?qh-Kn43P&1Yk#70==w{6FuvQdi>h>5GfYJ;Tec{N zfb7n&HSh$DTxDlx=YvStcr!{!Nc<{sI1dq=2E#}%gPOLwLDnY_#i*snNVNr>PBVRy zo~1706E+t>EjO!oLjsqIQ+Tc2@}tL^QuFnWnSpUDFmz z$8Q4(UuAVQK5Thqfz?2wn+X|=0_%xaxwbc;AaPB0nakvVN@wn{SDtyYv)6w3MVT+>tsj(?o?2)zCyJ|viAnZV=oG~+}lx+AHf0zC@frB2?>H}1qUoU>DEbxKVdhj zWAX`S>7Dwy*x}|1r;ATQo@H<(B9t^Gq`3oq!>Z)S}9 zp3D!vX4;(VLM}mVUWpQ(j!+c;JG{#wpw);~7>dko|bPa(o(SCCx1qTDBv?|z4 zXM+a>?aa`a0iB?6M(KTfi~P{&NC=#RyuuWdDqSR(fVywaam zlOav;@>TRRiH5Cy`)P}`8Q3ciZ0+`)k2 zshK+#&-Kk1NAT3C;r9|OP}Sv!3bZr0&A=JzlUvUMnvc_GxDS_xuT(;%E-|lDwB&_@ z%NReL%N0$M)S;T-tMc;1c~5@h7T$RQ2B5h8iZIw=hd{@AM5;e6B}NKTaOf6+f#)!o zb<1Iz>K_?-n4t=(XX5Mi@>0!7;ue>7Ket^>8anRWJ$BniEuO0${4lH2zYz=!I3S*L zU$)2rRghP(2hb&Z01H^GPHS(&WC$YH3MkwM17b%Xet*5$ZC8K)$N|^BE66lI6u02m zecrYzS0i*Tzxj?&tNgWpZVni;!U7C(EtENLzV!l00vpup0lbFK`x^YSad9lmGuBV-7!++C7LrR6j=VGeWpg{CL91jy%5;3*LZb?FH~(!{;K7>PmD9z| zA}B}&K9*|Ui16@7*>_+jYWRFNNY2x!HTgaKXKrcvEI(fe%I3cLeXhmjBl%{%0l*nS zSVM5@z}Z$nUZg=CkCIY5ST6mFmdqR2rEV?c(n^0)OGS`SzMA2q1WDuAx*X za-umeH3~rvvK$zJKho4VPqDKPbU!U?%-=3?SULv;7L>!$Ewa9%rA7OKS@H$YNQnC& zFPLTwg`TPFKR8&P7|}LyM1^(znOWrhGPyxjWyGF{w0{xZR`kPDxJrf^9t{qc(vJ*J zJ%d{bk4h^2ygJ$of3Wr23%jLPfz&B5knc~nrP+^08Y+V*A5(a1A?t403DB2&1O1IV zs|1&2EvgNmN%6O`^e9Rt;l6?bgN>V;1l&d6%02LSW+h#>3#wzQ6s&p2P?B0%S=s1>1f>RBiE@<$`{QFrs40D{-nup4de>q@AVIMe1KW?C=@lErqBTJ61^G8~US2Ykgi#JN2>!5oUCd$8;7)-#4se!g2$`MTDJ0fe z`UD`6vha<;9$so33sqJ^sV@Pv3vZZ&T-wHOEqboCHyth*L0V4Jg^$-2$sN z*JyKW@ZRoP8HFwhr3QJmZmPwpQ3<}bk0F1TwyhO?@olb@&==15`atayN)W=9Eq=u1 z?-`z)E{*L+0R12Y>$W?%zWQO*Vcd0cjo-t~LTRuc;4KiCI|(-v_?iIq{PFk#j8-n& zXh^dTfb2&Y@Bv@w&HBCsfujnUJCQRm(s)Q?TV^$_fJE@Z#3k5PUjP|h!(|G+R22`< z1~Q8+;5_nf0;%Y*tEejpAuq?Zu_$WJ>*+P6pPzUME>+i(+i=H8aVgnaP?c#zcJ4>g z4H}cD9hKmG22J}56r9x69Y#hC$iRn0M+d>!y|+F;Ktx3JGF<8U^$J)7Fc`?IH|CcD z+9VE)mjw<>96x{lgqK_|bLE&yb%WD;xtCccU#fy!XJ0@PV959xHKzZcrDz@hX1}Xi zGPJxsduyBC!9^}!k*w$G6w@((6=xIDWE#e3Z$iFR`OL=9$D;K4*BJnKfFV6Or1;c2Kf7lRS4Tuko`M7_WFoM1P>SIT| z={KsYihX;R*juNvNx0py3gt2;nx$6uQoOQ%D;n?qXx zcj=QM)#5RBUS4uIQ#n-40Z+;IXwiIy?i-4V1QrkV+-e;zr11cRg{V{stX58@de)*bI!wNF5h+}*=Omn0j4OGoC zLsgKA;-G%ba{Zmtrou};;_Z;f5~ax@PiKYGw#81Rf5C;I0hTXMco6p?9)Y^avm>|w zJslVrpcOPe4#WbS!jdOU`M@XmSq3PTH*>o%Djz`UL)d;ku6i*tGSb^jExl2E?mO^r z6mlu4ylw?|hyS_vtmTxvbIWT_DRPt&J^kCkO5HNsC>!oobyy;|YIn-}*g;RTjjOKj zvG1MKm{09xtzD3VB&;e9bN)8X>5GevrI+~=(}IJzIh^i=?Q`JJ9V^>eWq|SqikhcXLt{7Z+CnUIA;t81G zO1snYks$ERFm2jQ;EB8U96KkVD9aV#DfJ?zapy;&3RzU(jjHHjg_uzpS+14zik=&1 zye@+=>D;65w9lDD^Q0a60HHqMdIn7BPq<+;|6il0GIB|Cn z9Evd3KH<~k9)&ewsmF{y`8?j0VtA$b^$Z_8T^3}C^Yc1w7AK%qJB7|3g`E7e<_w7 z1+xn|i{DegeF{I2%zkBya_wC*@lj*rQcc5~gw>RYkB<*kvrSkMiV4DE@&E z&ZI*t4s>=W#l#o^86gW}e_{Bw5*uK7VE-fq&nU)i*CDV4_w7Z~0C)wZQ(6c7Ib$xv zkmI+XzX#54dVha^z;T*+6FkA5sJC1Z*1iQv$;Wi#9&%rJq1=Ho!D~N1B}JOV>#I>F z)LlM#mj(tKyO5e08_4)FQ|?4`jV{0S%r7o6h0<}Vz-gPca)3qnZ7hxHL(Ha?_k_-N z`j-bRNDtuY%&)F~gR@7E)uiKXGtfm_V3jy~r{KtekMMD4CKD>ufIV>R_AVfSz=?kZ zO&Cx*#=#&0GQt@viLa;^cF4CM%Q}(IT%w%tp!Zs#2Pgo0t`)N8y0mUFD9nhpgOaw< zB2}F0OyoJ{biM>c+tMqg2P9M#7?%nE*B90pZT(xe8E2Q8RNHd~+L)$+XL3T3 zoV`eROi$;cYL4ZP^g?Ez&*{22RGLaU(H=C$p$Y$sK=>w=P}>PNM$MZK>trCdcj$#F z7_f;oAk{P#*f*Gxf=k)4JolC1|tcH1>9q-P>)u9%L$7A5EM?MlBi%^Nog z_(8Y(6F-v>TloS#8Rjx?#I0HfY#zu79gJ)Uww=f66??8pos6x_8YHyj`{CbW5a;6Z zRBTU1dUaSONtDqMG{jQjUj4RRrfD<9U-|}eUu1zQ`%|vV*c{Xc-|ms+j;VfEP~{!( z_~k1-qd^H*IEQnk>vEmm zJE`Y5&Hk=kW;Nlg^bCN0o=!`0Vli-R`S?#v&c@UEN}_3X$rp5e7$8}Xp}Xs+i{e6EAf0CzRG#)F_S?b)KHFF(pf%dCy9dk z9Q;vT{={|c>^d6{`Ka< z%N6Eao}}O#!hhX$6Z?@qb@4IfI1W^5tO-u4?%HKPz7KO4xFzN-)Q~yg8P_Q%O|q8!d%Vx_-N2@aDB z56lmJ%RO<+Y%389Bd(B(6&rmeU+LyQqJiL7DF8DKh9#nol3y5C|8@{hzKd%6xA&{5iSkU!3Gwk~&48tG z5@t>y%a?;K010XWx7Hx4KvNFTmVO~3v)v6D^`zeo13%nmcRWA(ojdi29f@QcV)T4k zc&T?6pB;?HRXem@ZkD!?G4|XExF>rUF)H^Q~1= zlj)9GpvB=~5Hn{;9w~Yv*U#@OhCjW+V2C4exqUvA`%#|+g(#)QMKmpK9nNfdEN?yV zy5e3rGy}-Uy$!{USFLtR2{k`YTx(J!fTw+nT-Se~q6*Y#lo~>sq7G?*G5H0ChY;}u z6fA(!UZu>{Wj`DBp&txd8HC%?{p(8(pXbZBSvivYKi%0o-G*+Y&zQ{Ir$0b*Y(YcOfH>3tdX3D99{ z^RU;CSfbwtdZ`r1YXHQ8V&hY%PL%`44)sd_p?Ws#iMSXPp-}OSb}q<H)t z6R>1ro2xT{K%7R{(<*?3&i7AbKs@CRW|oeuyHEF1hKIK;rYHhq)WW2^gHB!)fSaZJ zNrz$*Sn&bV(@#)t2J|t!=5%55-e89wfOJ+z7Y`*R)zExK)p&k9Gm>y)a;1Xc!|`{A zT+!F3-qW1A5(JxkuoV!Kr9ATR@bC)^%;_-m_e&*00&d7q!m~*Zc}J`0Uz@4T6PKKr z7zetOYTgupA-;aCzkg<|`&#adaYEA<)JUr>W_f;-U?mqumyB#q7pp4}dG3@t=KdPt zy;GnZ&jMNNB)j=An7pME^NXx8Hg zs4kSZ*uNxkmPJQ{FXlxyZJH3WVK2Z-0HH8BTsV@BRXoFoZV?f)uu1y{EUN$@%abEz z+a(+9e#YDZ{HqwHOlMW%6h(PXRAmKw@@I6i?1t@WibAGcUO*aP1&c}f784UwHed@$ z8MSN-xd+r!WDK~svSw<)=KAtsE$)1o`6Wk&N_wx~1(3;nQUA&x&YT#7oD{!c3s-#ZkF-q zm(WWM&UAE5@t?9cS$7A4AXsbgDc}zrIPB9>y&|ceIIUv>i1o0R)lK}OExBg5&^xGZ zt66#tdkWGH1a@|72fv;@RR6+xz`FB|E@_I4`oqvPLK^_)Q0F&CiM-Bg{C@9TKS+kw zf%GJzEJ>+y#G4uuXr~S z*Vx{^V0jK2i7ZcbHpd5n_{*%d`X=oc+k)eY;%z4o_~Fta+mGmbN2-i(EnJn8(=kz# zky(~x;Cu3Q-lht?^BAy~01{&`ySxUi6)GFqkYR%HT@8Ijd;x|h72ywvPxKccVQHJ> zgFv?fMAm03(^3*RSA+U$%;jY?V%l*hAp)H5xc!t$#4GgOJBDP%=m1DPH|Z3!vteI# zMBnutFxewZ(R-oyOUR75i}3UQ%^Ybq_FV@lTkv1`Z*N|}5Q-zy57d})(c6!W${p)? z(6*^^j`$>sYZkVCWNNlE?s)l)Ux6v3)Me`;X zW7w*hGZbczH?B6u(Ri1}{IRe(Y=Br@`_ zq2U;AMBVrAU*Yd9(3S+PeyQ?WHnvpX%os^tpTofz3%8f&g%rPU_~1#FG7C=Iznehv zx@v?#+mH^r)w6w+CAMx+drU&M_ zOL}fQHt5e#dXk3bJCF@G3^S+S?}DN^?grVaPg<@39g*dg1R$6|CydE+;X9?ILqabi zD$_v1zT0ZUquOf1%5f!7P6Fv}aFArNIJF;)C?E!UJUoOP+)dw-2m9HBf|&6sLsqm` zPH{l30YLW@(Ef)8zS0+}DR>x2MSI4GI}K*ne2^?y{_$QKNdIrM#Lu1kSU&P^+?jTh zlWbfHUn7YSz5=(9Fxy$zIoovj#I{At;m!-!i56|VQ*yB7HsaA5M2q+!+<}Z8lHrJP zhWTMbEjMJG09;wm{+!wXQUd^ObM=piy?}&MZqKw@0gdeit~@||qF@%57hcPvc05AzerS7A+tefn zS+$m|yOJ?(@-ic{W3MIk|3l_4Zwl&K;zCjpc18)Vn#a!o1R!7M2{BtPY%8E5aRTqQUyp1V1vD0C`w(dd$7q#oza*dJ`ELX4M?%PV!shkq6=G^DIY-Z4=mI$ zUj=Roim`#vO^(2@5}V^E0fMJrAA08JA~ZVyrY1S;U3?*UWQG1W=x(EC1|Oir0sXl^ zzy0Ay&1D&lzW-ulSmfzu`+;{gi+vE71!p2R+4w@`>)NCZ&w)5As2{UtnHKF=tNG!g za#`uG9777I-{Aq-71BQyh(tL88;L+*o3rurQ(g@|Aq#HL`p<6UZAvnaNOpDHBkW4f z_L5tZ$iRc8?>y~XGb+|>57Oq~Z~u{zP2qTPjXPo!q&Ahj1e5tR z5VN5sNg=OZJ%e2oRk8Cw_&c>i1+XF-?U-*92Ab;}cq^#rK+_Ld&(EaGC@u8$u>j&j zfRqDiQTccnT0j*CDTa_N5*-3Zmc%qA2g&1X@x-?#rMH3N&9$QVP(b_rn4gX`6t*k| zzaH)Z@blLOyweMd5UFkKuCLjfj+y+Nxio8o3?g!Ws$*kk|DMZy_IH-V-+e?;qoID- zI5c+K-c!V|zFd-0)2-PpYf6O%oG*{Z z+dqEoHvdn3+u_oRLt&~fy7Zce$j!&TtH2g8Z1b2IEZ-Yl2ycW+vk+gS^7zTdd23+T zqj3OlTqUrNTR6N9O*&cep|&4yc34MTC?OS8_E)Ie~v zT$ndj#?BO`hQa&)E=LB|f3-<>dJr~SY{3=*slWMMHm#xk0*QRmNHWajCJ2y-dY~j) zN!*x%@ax*OYskV2be_ajWF>%T9CF6A!saYcStnx=`kbkqLjbjB-*@lceRhVj02o7j z;CUm51X66P>B^|PxHv7}R_HyiQKZ|PZ~|CoH<)0Lggu|GTipkkClDwQwzRa!@^(UN zp+f`&hZFguQFW#RA9-20(!B zEL4LZ#*8k9Ts=_%Sx~LPk=~x3d1xLJZWJpcL-BT}=1ED;9MeCUc10(=mGTv2WU6zz z)=!~L{=!gAHni-KiqI~yJ_DEF0|0L=6mVT!XdlQrTWJJ9K4IYj76_n2sI+Dn+fc8) z_wV1IqYnaOizra4JsejoDJ*(R9F9Skz$?H~fYx!)n<>NcON#iQNGi-p5x!+#pYNPc z><%iSXNA?|z_P=}w)KE!EY5b~CqBc)C*?WK5`n3yr@`p(W6+iL5Rk<@01T}08%273 zZsa?JbIkU4i%E62Ri5 zz4(L{L=qW=H((xE`aKsrP*v;3NoO?OON)GG)?>2apbap9*ef&;Ol{a?B?{Mo;CKl@ z1g5ndBK*dDPZ%;pGTH)^oE98xT;DiVVu8q#Eco`*Sg2nrqqcb5EbttZBzG) z`oeThv;5l3pHc=0r^Cp1j#2(D1_ulOQoq84ZO+?9G_PRtG2K+MGV0aZf^mwG0{GC` ztqLktAyBe}b~k}rChb^n;> zavwFj`R;|=zsx7eU))uC1`wJ1xe#avw`UICg%)nmVj&y!UeGGNlL>xiE1ZCSuUg0>1@KbSbcZG+;o)aS4__l36~avKj| zUG?TY4~*Ev060y!V{joc@Rr@3@BkV3WBax)LQyrq(fMCGeNA0|lAyu0^ zK7_+jfemgU;PnZMf^84#NC#{313=J@_Y|K0f|?#&R!|`Qva@>Ida8pAUec4$D<%*& z#eYzQ&n3uuD0wE*N95|*HB-~=?tZZ7q)yy92AX?#WMJs!ZCU-Nrz59Co`Vfb{lS(T z3(6N1(E?NM9ta_XUAKiX{SeDSIsXVI4)$x%HB3Yu8}GyhyTErxaMkRTs!Q~j67%wQ zO|!vB+h(4L^FJfKiwu9}DkfB^$Msu-eW>t}!vT1fjnZ)JDZ zw)?F$)3!LHN_WHWNtLeh{6Y`5lccv6VJ8 zM9%IQ_4kvn2GfVbR)dzk<@>e{{*NbZgL}y+t_DBov{SC-FEC{Rl-0a#9TUxeMH8{7 zh`?Ap4_^TRK&64e01Pf9*Z~$MI3G!_)@;*IgVyis*RNV8usg#Cn4wQUEAE3ex+ z(rh`W>2uO$z|Q~w#TP~Uu7H9ZHi@Y)oIV!tcwKgOF3G*9B(tmxrWu;NFYb30_tR?n8P*{iqm+tc*qgfIp2IPMwv=(K4P=O+jpcI#{*TuZN1n%|c!hdUjMoz7>{- z7OV!hLX&s5XCf&d4#5lu`<(TCti7?QT%f|-%Hq_Qeu_*Oj(Bp>jp0JAuI zI`*OJ?KQ_<DS2IcEFhj=QD z9`7hWVJ?jxfCcv`w+)3c68H%ktM|K%u73Xf`KMWoU+Oi2*Eq0=ufdLMsNUA{Jokht zm#T@pY5#lbv28dSL^$43D*Y~&4rVoHYvkDD7w>_`!?sH6gG9cL@zn2+oIv3Cj-DC5 zIioroRvpnBpU`>=j&)o!Eu~+r1bXAZaK8b%m$f?b;@?B>@cJrnaQDKFf|k@rHN#|1 z`1^5{jXM6(eXOICYeri~vC7jY^x6J!-nC7?4BnjS@5@%=HWp{YezANm0`C6f9e1_( za#zSE10f|{sWS0+|L9#%9CC1lY-K2;KDk^bvp*Tl#cQTJ&o&RpB(Od!r};*L8J-AI zkS9BWz;e06um;&CHf$xrM*rq1RS5EG-}zR$W0`kqme+b4-UrP&qbnUOY?3SGn^1(Y>3rsLZ1ji7{@1Uz)it( zV|Yxdcr}mKpGsO2vdfejR?}CKjBox^QTlIovx3x()zf^Ckf;4k1C@EkU46fTO@qsqq`AMgX^W%5W0Rr;N0! z8B*z;gJ~K{tdnw~Z5Q*}wa(IgK15ttY3mIhPUsh&WIWc-P6k;iHppAC+`VOg={7m$ zpX`*!I2a&c0Kmd9P&NH{hF&1&EeU^5AqsiZA)TPA!7G8FY4)p?N}8c227DL{>g6)n zNl_L2fvpuR^@Olzs)SC=P`s-F9RpW^<0q>B6Rwh>1JxG5QkKCG>vI%?Ax24+`g1J~ zqVwY*iQ4GG!^2z3Ed`b18%Z|_aMS-NwtEUYHhsu7pcDiw*uGH9xOKVO;6_V!;aC(l zEI_I%EixsC7+@fOY20Zei%UK%KaWt6u3PNUt zP`hL|`<&*kGbKQ_z{DStQJ+8@FZAZ#1^=UWmxtqCf(;vn-^d;9_SZ-XPlXCiR;ID~ z@FK@Q&j6FOGcVTuuVmJN{p>L0wYVPU+NW#XgtDMZ#9DPo z_g+k&I1oFxFZ6Tn-w4el$**OPTi76Wfi{>4kZ_^}qylPio{f5s#kEfK4-I+325PKZ z4sxUz3^d+V@@`YeJ2pOX2rRJ>bPtTpYE3WxGbSp;#ir9EeY~CQ-ED_4r8HB^;ySJQ zHr)O13z275mfV^?AJ`3oz$#Rj292PyaWMe&F~?~YamvBX0Whs=ii&d3g9!RQ2lPJu zJHz05Lke-n|2Jbr{NdALz>S+Sb0aS1v%A;RW+pg}olEI-Lqj?BE7y#W9OOcf!VDq_ zfTbOSt$ihg!sO7O3Q*rfsI6&uV{I)4BP>euhh+30(6+wHy5zsp9c#(b@cDy1yC4dK zS6g_-h=2dZwW5o5I}AMJ#@^T~=T{iCtk(%vqss`T4=ZJW{(ds!r|VP`NVf-VA%!^) z-F4rCWO%$ag#sWJ{-`klWYzAhx&h(KkYjKqC=$IKLR};f?h*kO6_q+9n;wl zSJ*{Ll)~PD4h|uiMn0gJ7al7Na@w1?FqS}#0V6*_7V4N90t!?{-M_i*=YCx4Y1~}9 zdi&O1wtZ0r;mbOM`8D&w?{^@7u8h5N8Q&f4m7taet-5$I*Jy6`7Fwm0j{u)eRaF(N z1J&+2H-W_igj0%WhW7Hpf(!6Md4bkZ{>)WVK10B6E`4-8+@pBCd}_-_;)r6+zy!e@ zh%~O77M`~nS=DkXPDP46i86?|Qn@zBpmagn-?t?dF1bKx{MsNzuIBw*p`RRkA8U8|sDu z10E71)H4uymbWTNl0gdzL^2`e7POgE#}rnn>K0nc8cRa7Ma_GM2(qkVYduy}OBg?{ z?5)VP7Q|5XmpqwkvrHF!WySC~*f! z^XND|m$mClt43W1;96Ab)a%{5pzBb{^3NO4NSPLz>++rA+G=+4r;v&cwpIyY+*YQ|8Mob`5thtSK zKN_e8HrwGW@lw4F1-_un5zZ3f%Ps9(5qG9ujkIn$V>k*>N)xas$K(DRx7B_S?>lky zLyIfN|MeTrKuAQ|Qjl25n=;#O9f|dFR_$-!jEV$G^auYwS{Z`@L|x?}gDHa9Zjbi7 z^dstG-h%@mEbH|7}%1p{@u9B#6QYyI>zXGt`{|H1n-Fzbh{!0*oBoP1(X#X|S z)(vW8Sp`e5>BN5AyZ7zbdHIr{f7wf(IWIMHjEv2mCTpYkN8}Mr2uLA~qs9Dw*fb3r3vh~${be)o0Pm)Q-$KQo)N z(x#mM3)c9vYC903+wt(YR0ORM`W1ABj`cQarnXtX?TZ__DM~Z`>q_rD?gDSYN(FQ% z!G<8^CEPXmzr?(!j&7c5(JA4^PX80xhTTD*0o|keP0)mTykuuBh;&ple%I~9`)7Ll zQCfbQYW@3{4KMZ2YWIKVe+$IkIMu~|=>9N%L+$#8tO&?6}bxH5e){oBr3ZD{OSw1or!sKo36fRqLV`%x`Fu7Ka}j#bWcV; z`Ah9XwZAL(zHf1`#bX0;!cvKmIC71>*FtnAuWhx@b+6il>26N_s_y@WHl|Q?0$82w zVE!Q$DjUHGE;N2QXI`|ex|Gc=$ot;|dot3TH4=u`KixVzraQsD~h~<&bB{7_fmi_hfTu*Ze z1?FYLupcd>M|Q@y@V~C4^xhib?@&#{%hq?yf^}bJ-T0zx0LVqDmsupB1wg!xj3(uZ zur6PudxWb3WaRY3!-wQ4`}aZo{$=)e$YIr~f*e)>-~aBg%6P{0nc1yoFX(S_$ymJ? zNG|En{kM{+;~%~T+Ey?YMGt?s%>4cZ)?m+%NqatO-U=RJ(wYxIAF26U zVvih_5hZBP@H_M`pGJ1jUp|dAxTO1$^2w2jK6LNuDGqrr!=3^{x@pllR1N)>w)Ij zQ0{C5Q>7OBKDjlx|Bw&ELsk#GOtHT0=CsDdBwJX9v;F(?&E{7}h)!LQR$==Y`k?&O zwV-=16;I;?JsYG7b1XeQlJX~gIS~I04V$daxYRW%;%lh#&JpTE^T=GurjOy3UvIY&RQ6pIwwX-nPaBR~qe&?yM|s?O&OGrMvtmOVzIajUqGqZ>@9@bEBbjFXUs&HlC-PkI9;P z)Nwc8;ljx2qTN&`MIq8(?yk)%t=)6`WBB>uy*a5*B#%e^KbPUQgta|6ZTewgVsV_| zxoQrvvhoL?r#yzA=UvwY-;GYzHl7^+QY0!sazf%uT}M4N1EHBrZ4RsBUhn<@$cBaZ z_ivrs@1L4HZ8QH2_;}}S(f-n&>4Ay(3tMyUlFm!#96!vyr&1Im>+H@@h9h&1^B^NJkI`;QuDD)^a$llK;u)U}`pEf{LR+Rb3<k_oQS}Zqfng8G%;ZsJL=63NUb7MnO z-`Xo7sx*lpk2KJ?kVmnSYuFbML8su&H$3`{Ji|k)kKz{7*nA zKyWnnc<>*|l@8(*QJ>k%orXpAJ&29#_%wVrc4V~ zu>?^o0B?L*4Fq0zk>ZYuc(`i^t>zJZ0UZkM-EM;Q#U1RvRovM*)( zCmBioS_1S}5x$^Dj)N*70uuJjyu|Nzut?Dqw#l}th#7D~Njbk5_v_7ZAo)24Wf<89 z57?fVnvR(Ho^5+UBKpHk+U>Ye07i^Bg=xy>;6b+Re!8U=>gseYUrqq11xOowNqTBcI{XVoh-?nWi^D$=f0Kcm6Ky-lXv}**%b3_{>MWs8RqojV)QdE zT@Cv;$LM^Wdl6(L5D^>tKf3$+UQPPb3NklP^bmr!UJ8u$FT=xqVB?G|NZ`Zu(t)Le z=QdZbXKd`}GBKJhDwq+I4}b`t1XZ`@5fHEhpn!nu?>|qr z0d?Y(S@KywCd$AL8=Zrvv%z0TxI)4zzjIw)9v1_$KKWcwFlZV(u?txp50g4mgsJ@XN18!STZ_+^L1doUa8W1jVs`(mxaJ{s2 z%*XTuhqoF9A;s6A=hEC+nu{0ZV4nJ>uz1`}19sp2Acn1hy6XaLGT$S_-_4t-m9aTA zNl#VhdeZgzFbIk*^X26XW+HQGvmYM1AccoXozObwbal3xB=_#i{b_CK5hYGLv~~sy z98y%G-ouEX*wN8}(^hS9gXd!Bue_hUCWul#^n?9LJaY*jld)XOk0XuX`yWctD zpqO#wq4>{s*!=EoG`o@Zgt!hLKR)zCoc67M+D4CK!j0b( zJ#9W;FD`bslgy)0?7qG!Wd!wk1Lvpv`h8W3a_^hE}6o+PwI`+e&~3b z;4eo3d_z?Mb3s7{`P(M;m$>hnn0mA261Y7Y9_rd*6stWWqhrRpnYZf0BW)a(v2Du! zr)M=;Q#gns@Tyhw=)rYr(<5rqZRaZgyYeiw6 z_m-cfhjbJR-o6dW$rpI3ru?K|@n+}Zv4-5rw1^y>uLmFsG(i388K zU(NGwx6a$AZadU-Gmc7*GeeV}UMhzl54OmB%LK0TxCLpd+^oY>A^W1!D#{<^9L??* zP9={~LzqRTM8m#4Swx>I-MY}2)z`n%J9i^%s<1;^N(-01SSWn|EH{C6e{wAGbH$QP z?>t0PynT&l&L@V85w6fF8N$E{y6dzlv?soJcUyl=GO=^z&J^o?bzJ9Omxt3(^7NCh zIb$ke;6@Qe zRT^2@sJg)34`*k_o$TczkK1@(eXA2xg5(5jA=xD}a{sa*<^K_4iDm2wEs-}?d5s_b zIpu@(fz!Auts%Yf7S1A`n7`!>?Y{+AZKI4)p4a(bCw7u)kcAuxcPGFS9DG?=g;j-t z?IY$l8B~f4Y4ofX>TD>U2=RvqF=w%z@9ureX@iLsxWp@isWNSL>3sUP;2hPdU>|gG zw{)-XO_3dTxhvm??`Y*w<>ri-=eiK#sA%xVz0zK{+>2O0HG6ErMt|+wHCj~Ak}&{W zeBH3impQ9#?%BIPr#NPBzC03+VZOyoSB%b`6TEdCrkaCio$2?|mW$G^s=>Xf>TbV% zFh-2d#l5O~8+q#^h;S??S!?7w~jc+TWpk%@GN&!0PQk-WV5`)xCunE~TuL0icF z(7=+z*{T9EG~^s!&T8W;V^9Y^OmcxvQhYm<%M5>*5&JGch5V2*|SRP=*bZo zgxN69%9IX8eDRaO+v2!FMe%be zn!=4y+$u8~j1%_!)e+p+`W*UA??qH+yu0}B&DEB|Os{ru;66C;IEXp;9oa^iVmRA% z9CD?m{j}_b9czC<7)nWpi^oL=$`Oe_OZ?P~+AQrlPPuZhbnl-x31I5wqyg=_>g?rx zm0CWxLob6;RDc?mLIGQt{AGO5g~8=6s0?L~cgm_}m`3OMouF*oe}wmGm9N`M5jlU{ z!gID-W=LCo&`U!J@r@v(@xgc3dEkT@pf;$*e`@S%zPvW(Yj-&efyw(%x9U1+;pFPR z$HIjes%0dq7Gp!xgS0C{@{{u5Z30EX2lesGh&GSBBeEc~iGsrQfA`pkMIWF$OCTZ)h~_n;1{ z@!`z3TAq^&t-oUvbt2?+KkAQ@?>}$saVWc9gb9T_uS> zPBr&*$8r5%qxXNAn|Z2FtttpTVfaKwo=1K#9+Dw98>16aL{xQ=qUu|pkbLg!m)>lf zdE~%?*GGUr-H}Unl8rQoF`#xSL^Z?rDa8}mXRTgb{p<4q@OdrxyfmBdy`_yt)eOU- zm|p_+Bxtgs6z9)b$F?Hxoo0p((t`p`qi`w{x_p8Z$`f30(6*bBk?}cb-|17;mQ+%C zzxLns%&jyse|>NN1RRYYQ7UtSf)pGq8U=q)%?(`oL!hZbxN;~L_<}dI1e$O|-}>}j z2Ek*nXCdtpCc3@*i>+PHWRdLEqaSB@R}gfywT%8Ebq;hY4nBer%?upvUhiVd`OAdKxaDND|b zE5P7gBrS)nNK)5Sqh3w22QuQpuB;0V7cFANk*QZ2P#s89)zOjn9Y86I2n3CxJ$KK& zY4KGTh*_6gQ|V5h=DoZ}wv#n3MPVU~FII z*m!dW%24z3<`APg1MZ3{(`{$d26I~QfF1=KB?!G=0?mSkCW1JBVr=Y|@eWu)=T}xT z=690W%7mGBI@YRY8;X;3%EmVD>+acn%;k0Jc#Fb<>yg8xlku{F=F8(M-($oXz^Xu% z850 zgYsoHzkkzVUcP&Gd-M`GJu%8@ty`nKS*Iyjr=&htPOy|+*`Evyj&KNh76Ba}ZUwkQ zHPd5aV<|A#u3x`$?;Z;V5i^j18jAA!aHF#}@8DQ4gsy^>>a0ZEDD?=NfiBU5tZ(wU z6|SDyMSaGfCK~M*AThndJK+Be~6bZi@0k4gvW0;?5JpJ$hMXYR|{Do@UQhus#uU>(7`OB9t zsu}mId>~mtNCx~SZv8?1{@`NGIcSt) z+kneNidhG5qs7Ee_B2&C%Io_Smhst^N+*xr21+-{?ET8nM_@-yWneP=QCU>Q!ET5?} zEL0N7ETh0G*EtByf7PGfxD#VYsLz%o5MPf~Gb>oIz?p??$l36+0v_$w>?$cQpO{B;0{BGtRTf1B?z4t?x z@cr4cMa}80!dDVf9%aod)Q%Yw-grXf*K%7jGGp19FCb2X;g}R z#yiyErA?7&suUoPx{}Khi61#$Sj0)*D|V{A^0x1guY_c|e1%&&^d}0jxW|=!gl>Zl z(r3P!!Y;*)-3PbY`i;Wb%h!d)otHkUGql>0Qm^S9Oj&Zi6JNh4jin@PP0k9xvXsG= zZVeW%&*skUPZqVO7wFZ`hsVUem`yJl8qY{johha1s}ic{yZm1HV9`_gE$sa$`RC%# zAEp{Y8Rnb2H|7rBot7a|ES=-aHB7IjO_hH)XJVIR*A5cvyZ7_`aoQy{>@(iO%!F=y?rb1CjRsA64y?Mi>2JdNLp1iJ9aZ9)CV5GmUR@>&7L_hW)e`b|7me{4fm$nYE z?f#-(n`lAMeyF$Zi)Wl4*cB}Nu&w-L2} z5#Mo@7T&#lWxiQcDw)`olI0u_=>g~~n4N2%m=md`k0cz{+{OA9<6fF zkD%uaL;*yVVV}8GXBv3#4#r0Bo!JlKWqc~!jSVsl?_7m5%1qV`Gv0Gpk$m&hC}2N` zr=%mt!%`N8yOLd@ymC!m>6P(ayB+%1+nja3p!`D_a-Tnr-rr=R^9U`a-|(_Q+Qs7T zCkoCE@lV9zr<4!_wiBI7;XHYo?HYGf(~JZSv)#7V7u2ZD&!EzsD<|>usY9}d26Vm& zrd`b15_4`_IC*eUuPE@a&*5}r(ODVZi7+N{JX^j_K6J28yQW8)Dp2^=mdb-0&*J2g zkNVcr=Dk7YnLXBnYg*L5999uVcnh7?yGWs=u6Vt`dDr5#5fik_tG%XG*Xy2CxZVFr zQFtf0Q)vIu$hZxVVsUhf+zz8Ft&)&I}yICl!{aL|vVU2bD{eryqzw5~E8T#tYvX{zHYjFTVx!&bM;@Jwa5 zSHr9y}N#0L(QPK$!sEeOgreQh9cErwV7T2CuagSzE^0~2~e8(4byA^QouqWVA zNJl3Sz^5~bv^_p*-WRY#n@t0HTIH3?84kx4Pj1THlWCw7u!DbO5-J3M117q+N4!e-O-_0FRM{ar;a@?DJh952h*0p?AHSG zJMuLaXP9baX=)O!|6gh60!?+=@A1dAC`A)RMKls&Cz>Q_hnj54*pz6yBtj}l3b_@P z3JtI82qk-pTvFtINg|g?36Y_i9U((Xh;Y77@4MDHXRUMAyVg0aTC2-$@BRP(pXc}d zZr{&ud0evxhvgi>b5J}jK);pY)$bT}1%;a^qtHL^Ks}XSVVEeeyZ9k3+5On`pZ}l< z>Lsqjf}*7H+;4xM=OhtnhU`4Og8%&;zR%24Sg!(yy$9@#+k5UvLD3_#@fc^Q7*}nG z7O^*jgY!?HK8^lk9_E+|547A>(Nxzw)EK0HW6fu0XitQPiYJAHg=43r0Xkv%rxXpZ z-Lqneal55#+;6{KMm{eUQ*6-l6;x8P8EVU5^rXcU&%k377Z)d%mX>HbR6y1fli%;3 zEorN$k7$6m)X-&zx%3Jzly2*Zh=}wA)I_D=UHVI3Uc1ULU9aAI!Y?=+L|)q{4Mpnd?@jpm3SH8m}imzRG6eKy!C5fnWI8l3e9#=g5m&VN+m z$dMx;B3iDAVSzz<6SPb^#)r80f7ve{;XSo4BK0flQs+lcL zhx28?dJrZjhyJv3ODK}FOFqdVn%d=aQ!A=#YDCFjC?-gdkenR%^be1#tLGBX_6z`0 zGs}?E_5P*3qeCQyr3hzpeoOw$o>QFP!AK*apx-ThuuVX8?p$$V2tSG2RuJva&EPqR zOkEb&hYZrPCDY1WTSwvd0e*g0$JTPtqe}#N?l#uknr$u zieK)YYAeWyXn?mNNT@zgz{`aL@P;A@g+x^(e8;L*wVnxf?7f=DoCt>QV^b1TTB?g` zi!cOwwP+S=usIF&3JIccQ#^il8T5e2d#hq7Yp&nd6J=v=YxYPlX?8N267ByDG&DTG zixlby=+sNAZjf!VUII)?>jID}JV(P)dUu|y`L_>tv-%z$8fdS&JzoAL3)k4sIwS%O zj_`SX`Bt^*33gjyJc@Yygbp{N$N@0H4!F7P@Abtq0RBUO%wM{W>Fi^4v^HYJq-#s1 z%4YSnhUPKJ=2(B5+t!|$4)Qft>w`h z)O$l-USG63MK2tC+W~kfrP`XF!TVGQ zx#q#5M=O+PxhY+3L*l5{EuD%@_pjOiD$)LZd&f$oQ(Z{jr4dpg*Wg_W+oKI zHwgd8KyTGl;!|vDjB$j`ClbQQ{P!PRLr)&dUY9_+%?Nh8B2A~vL*7^iB_fFxnw0RDgZEW zQtwu9a4I6>a?k!Umy8_>(6)?`w;Fh9hr}0$JgS9?=t? zo*qCY_(4;9H#heobh1 zEW|W1s{bJSp3bmaJ@|q^Ew!%+lhy`^mk!dxbveMEc#m~BN5;p8B8oT2+S@RCY4kmG zHnc@AGb;-u*PUD}&BU%}nU^7YX?4<#pzOhrXt zLg$yUF)3omVzImmj)=p|_7r)2i2eBSqd2L)VQ?`c*PNH@+$77#M7S53n7B3sSHV@_ zh8z1dy4rmOqcF`XF{gZz<@^iLU!cn6VEIqg7q=&Dw$ociCV|jNlv56axxVeD=~)tnDoN zjxWkTO?S78@UbJHNbWn6YO?+~o&f(9BH;Y`gic6*5<&N?ME)NA5>YbG3SK zfhK=XR3)aVwxg7KgPp$a)Zo4>Uu-wBQc+O|Dqa$VE%vaX!MOM>C6RKEX(}nr!SzgpkZfZgcbW8|j@xN_Lw@?6h8hz?IuYdJ~ES^-(W0YR6 z&Hj>;!DB~8eR#^6O35yom~zg;p`oy6x-+q%oP9zmz}8k)R8;i3g-U+xR_~9b@@B$1 zFo>`%dH6-wB$j7d{tP(aROYGW@~qNv_|2RQJ#|Tqxapo@q`HJi-^(1k^p^?N10&p2 zkMvOGzj0K!KMWD)&Hy9LNBsQ#xz=?R11pvm zQ#HIsr$C=54`owF#~;ay*LJdy%OYdO7ws?8x#%h*Mmp|tw>!IbiGb}eYjtXB;@SEs z-%VV$>jOK6Wp^PxJpBN`*14)#S6{#AU`-e{PF!5vle#($i;~tMtaJw)_Nj%1`|c!1 zNB`JW`U!-6H?{jA|2lwKm!g(gq4q2fv#8i=nyjmgWSmPf z;Lh$lI_h=-U%4oWw!YeN;J^)J(=Lp z6L1uDR6GkNq2w1LZ~OYzz+@Wc*p|^_{O*GXQu`kq(cs({w&*U5R`on}N(!h61uZQL zh)8!8A7rCp9-p}VLiQcgy8BDZN=pr)1Dq=+CW&2J)!l7N#8FlM3mZUZSabYe7gW!y zs;WwBl3c!A_1w90A?);4QHh6Txig9lf^Lr}!`2!Y`yD`%!&&(?nw8NI2( z<7dKUf|8Lz{XFDAwj*04L=L#SGax8;np`|N0x{e?;(&8WGTUwFzhC5(HWz+QD7rI5 zF$@kn(hz|EU6UgWNo9A=dQHv8(aPqAOeQruQY%^2!Rjr|vGC%k9X4V3+X)HQ8d?qfhz7&UVS$+*@B zU6qwg`eG#|%g&#AK2A(z+Ll?@><)eMCq+*3tx-{_`VP#swY4qu9#M!`zDdE;vSt-b z5Rj~Z$An4{J2b0KQ(gH%|;c z8^Huo_%SghY6|Pk>5Mb)ll8v9eJ|DX(`EQ*?F`y=%-tx!V1Cr zuf4X(^A`>$4BBz})mN|PC+H9P(dJP)kQRSOpB7=({RD-7{s8PZ_2p?CAS@=sOt*mh zEr6l!h9)MB<`EaNn`>^Rk`x@i>Ndqx=d$5&3-kE#brh@+v({4o#xL}|))`h-SFag= z9e5RgU)9-{dJ}I1v~a56$r-@k^+47dAT%PN{-vS#{1OESYXk4Kgqwfg8{5CA(b+}dRKvSF*6bM&c zTT7=EU{?i|m2JVJKS%p8Mn*>3?>WuO%+xN>cN`Oxh&&Iglt5O(M5Mh!8;KGLg^FSz zGZ1YY)EFSVs)mb|7wf7eL!FOE5)n!AT zNvDAEU_s#XpoJuNgrx%OJbJMS!=`w& zrGkf(ZYPUXML8bOy_sbcxIE_vei*K!C>Hg}ZUF*jQ%gs3c(@qc{2X)BojaLkW)jeh zh#=>l)B}4!C+Skab!lnot?7M+j_vaIu9kq_?>jyePT3npyZ7#GGoMXvJ``s>AO8nSu?qj^Il}Vv0C1KF z6Mbf^u0ya3UWXMohN^)f41TCu!7Z@9D?2+&*wa5mx}q+raAohJN;HkpxGKvD4PGP& zZE2J@!cG3It)L=BkAW`|fzP}VI6D)s>$4t9Q+UaeCHt(b4%9^{F4a6VKSbR0OUXP@ zQHW=R$wE2J{4?XnvU(KxwAZg+^xA)X#qt#^QYKEv_&tR+x&fwqPd3`&l|pw0z>GQO z(xDlU^9T@iyYetR!?Yi>5J$m|d0r@p4DeHcw(z)Yd$VWsC3)cSBJbojnFAO4*godg|J>GwjqXU>~6@InwTI2 z4qON#p)I>Q4IPEQKa0#L=QEgHB|!@(tnz}Hk(@ErO-W^rbx|xh;l#SlQ`eZk3;v2% zY|NO+i?FcyE?P1u8~&_xO-fSo06d|XfjbI{DPLh)ls*0SW^+WCQwg`>P7v9rnRJQO zz*qJffExnuqy|Q;!GBCu!b+G*kar?Ef+oWsh&>wgoU&gQc{+QaIm5%8t$&g!knRbA zS&3D*xr~CBTNWdPGBIEm)2!i0@DX6e)_ggQA{ZgPPm`|v`6nk`7R*zC-1{=^Fz&dp zsOT+jN3)obVu~xkTU_C;4BwA$_>k5Ra&!B@c0Z*8$*Oy0cegC^NQIv77X)40_;XQ7 z$*R?>cT7&UFQVfIP)<7efQRUh!h8VFU#fHRc3xJk4f+gQo*5hVUc`B+%EmsTwitP+ zRE)EN$L8cj>74@JTE^{2V`O4r5{_T6k1HDPhicru!sGIkX@?Hp8!D={ycW{F&jf`bL9vjCe(N4X$3c@9emFK(EhNOuVQrH@tf7`ROWq2b}% zvHmXvyoSW#%YK`M8_*;!|}Cw*fLL=nl2(|1BV4Oy)0;w yW=QJNlThk@p=@FHcEkTaHT>`0NW5Z4&n%yXeJ=kdncXP_Ka95THq6$yKldNWbL#g1 literal 0 HcmV?d00001 diff --git a/canopy/adat.py b/canopy/adat.py index bf41d92..ea04ceb 100644 --- a/canopy/adat.py +++ b/canopy/adat.py @@ -1,9 +1,12 @@ from __future__ import annotations -from typing import List, Dict, Union, TextIO -import pandas as pd + import logging -from .base import AdatMetaHelpers, AdatMathHelpers +from typing import Dict, List, TextIO, Union + +import pandas as pd + from . import io +from .base import AdatMathHelpers, AdatMetaHelpers try: from cnorm import AdatNormalization @@ -26,6 +29,7 @@ class variable and handled via the '_metadata' Pandas keyword/variable. On subclassing the pandas dataframe: https://pandas.pydata.org/pandas-docs/stable/development/extending.html#subclassing-pandas-data-structures """ + _metadata = ['header_metadata'] def __init__(self, *args, **kwargs) -> None: @@ -37,9 +41,13 @@ def _constructor(self) -> Adat: return Adat @classmethod - def from_features(cls, rfu_matrix: List[List[float]], row_metadata: Dict[str, List[str]], - column_metadata: Dict[str, List[str]], header_metadata: Dict[str, str]) -> Adat: - + def from_features( + cls, + rfu_matrix: List[List[float]], + row_metadata: Dict[str, List[str]], + column_metadata: Dict[str, List[str]], + header_metadata: Dict[str, str], + ) -> Adat: """Returns an Adat from the component adat file format sections. Parameters @@ -52,7 +60,7 @@ def from_features(cls, rfu_matrix: List[List[float]], row_metadata: Dict[str, Li pairs are column-name and an array of each sample's corresponding metadata column_metadata : Dict[str, List[str]] - A dictionary of each row of the adat column metdata where the key-value pairs are + A dictionary of each row of the adat column metadata where the key-value pairs are row-name and an array of each somamer's corresponding metadata. header_metadata : Dict[str, str] @@ -67,19 +75,35 @@ def from_features(cls, rfu_matrix: List[List[float]], row_metadata: Dict[str, Li >>> adat = Adat.from_features(rfu_matrix, row_metadata, col_metadata, header_metadata) """ - index = pd.MultiIndex.from_arrays(list(row_metadata.values()), names=list(row_metadata.keys())) - columns = pd.MultiIndex.from_arrays(list(column_metadata.values()), names=list(column_metadata.keys())) - return Adat(data=rfu_matrix, index=index, columns=columns, header_metadata=header_metadata) + index = pd.MultiIndex.from_arrays( + list(row_metadata.values()), names=list(row_metadata.keys()) + ) + columns = pd.MultiIndex.from_arrays( + list(column_metadata.values()), names=list(column_metadata.keys()) + ) + return Adat( + data=rfu_matrix, + index=index, + columns=columns, + header_metadata=header_metadata, + ) def to_file(self, *args, **kwargs): """DEPRECATED: SEE Adat.to_adat WILL BE REMOVED IN A FUTURE RELEASE """ - logging.warning('THIS FUNCTION IS DEPRECATED AND WILL BE REMOVED IN A FUTURE RELEASE.\n PLEASE USE `Adat.to_adat` instead.') + logging.warning( + 'THIS FUNCTION IS DEPRECATED AND WILL BE REMOVED IN A FUTURE RELEASE.\n PLEASE USE `Adat.to_adat` instead.' + ) self.to_adat(*args, **kwargs) - def to_adat(self, path_or_buf: Union[str, TextIO], round_rfu: bool = True, convert_to_v3_seq_ids: bool = False) -> None: + def to_adat( + self, + path_or_buf: Union[str, TextIO], + round_rfu: bool = True, + convert_to_v3_seq_ids: bool = False, + ) -> None: """Writes the adat to an adat formatted file with the given filename. Parameters diff --git a/canopy/annotations.py b/canopy/annotations.py index 93b21ae..cd19e27 100644 --- a/canopy/annotations.py +++ b/canopy/annotations.py @@ -1,12 +1,19 @@ from __future__ import annotations + +import re +from copy import deepcopy +from warnings import warn + import pandas as pd + from canopy import Adat -from . import errors -from copy import deepcopy -import re +from canopy.data.lift import check_substrings +from . import errors -LIFTING_COLUMN_REGEX = r'\w+ Scalar v\d+.\d+ to v\d+.\d+' +LIFTING_COLUMN_REGEX = re.compile( + r'\w+ Scalar v\d+.\d+ (?:\d+K )?to v\d+.\d+(?: \d+K)?' +) class Annotations(pd.DataFrame): @@ -36,12 +43,12 @@ def _constructor(self) -> Adat: def __setitem__(self, key, val): super().__setitem__(key, val) - if re.match(LIFTING_COLUMN_REGEX, key): + if LIFTING_COLUMN_REGEX.match(key): self._update_supported_lifting_options() def __delitem__(self, key) -> None: super().__delitem__(key) - if re.match(LIFTING_COLUMN_REGEX, key): + if LIFTING_COLUMN_REGEX.match(key): self._update_supported_lifting_options() def _update_supported_lifting_options(self): @@ -49,10 +56,12 @@ def _update_supported_lifting_options(self): self.supported_lifting_signal_space = set() for name in self.columns: - if re.match(LIFTING_COLUMN_REGEX, name): + if LIFTING_COLUMN_REGEX.match(name): supported_info = name.split(' ') self.supported_lifting_matrices.add(supported_info[0]) - self.supported_lifting_signal_space.add((supported_info[2], supported_info[4])) + self.supported_lifting_signal_space.add( + (supported_info[2], supported_info[5]) + ) def update_adat_column_meta(self, adat: Adat) -> Adat: """Utility to update a provided adat's column metadata to match the annotations object. @@ -98,12 +107,15 @@ def update_adat_column_meta(self, adat: Adat) -> Adat: for xlsx_col, adat_col in xlsx_to_adat_column_map.items(): if adat_col not in adat.columns.names: continue - values_dict = {seq_id: col_meta for seq_id, col_meta in zip(seq_ids, self[xlsx_col].values)} + values_dict = { + seq_id: col_meta + for seq_id, col_meta in zip(seq_ids, self[xlsx_col].values) + } mod_adat = mod_adat.replace_keyed_meta( axis=1, replaced_meta_name=adat_col, key_meta_name='SeqId', - values_dict=values_dict + values_dict=values_dict, ) return mod_adat @@ -130,56 +142,98 @@ def lift_adat(self, adat: Adat, lift_to_version: str = None) -> Adat: -------- >>> lifted_adat = Annotations.lift_adat(adat=adat) """ + warn( + 'Annotations.lift_adat() will be deprecated in a future version. Use Adat.lift() instead.' + ) self._update_supported_lifting_options() # Perform checks to see if this bridging is appropriate for this adat adat = adat.copy() process_steps = adat.header_metadata['!ProcessSteps'] - scalable_norm_steps = 'Raw RFU, Hyb Normalization, medNormInt (SampleId), plateScale, Calibration, anmlQC, qcCheck, anmlSMP' - if not process_steps.startswith(scalable_norm_steps): - raise errors.AnnotationsLiftingError(f'ANML normalized SOMAscan data is required for lifting. Provided norm steps: "{process_steps}"') + if not 'anmlsmp' in process_steps.lower(): + raise errors.AnnotationsLiftingError( + f'ANML normalized SOMAscan data is required for lifting. Provided norm steps: "{process_steps}"' + ) - # Get matrix from adat header metdata - matrix = adat.header_metadata['StudyMatrix'] - if matrix == 'EDTA Plasma': # Takes care of the EDTA Plasma --> Plasma conversion so we can look up the column in the annotations df + # Get matrix from adat header metadata + try: + matrix = adat.header_metadata['StudyMatrix'] + except KeyError: + matrix = adat.header_metadata['!StudyMatrix'] + if ( + matrix == 'EDTA Plasma' + ): # Takes care of the EDTA Plasma --> Plasma conversion so we can look up the column in the annotations df matrix = 'Plasma' if matrix not in self.supported_lifting_matrices: - raise errors.AnnotationsLiftingError(f'Unsupported matrix: "{matrix}". Supported matrices: {", ".join(self.supported_lifting_matrices)}.') + raise errors.AnnotationsLiftingError( + f'Unsupported matrix: "{matrix}". Supported matrices: {", ".join(self.supported_lifting_matrices)}.' + ) # Get assay version from adat header metadata. Prefer SignalSpace (created by lifting apps) if it exists if 'SignalSpace' in adat.header_metadata: signal_space = adat.header_metadata['SignalSpace'] else: signal_space = adat.header_metadata['!AssayVersion'] - if signal_space.lower() == 'v4': # Takes care of the v4 and V4 --> v4.0 conversion so we can look up the column in the annotations df + if ( + signal_space.lower() == 'v4' + ): # Takes care of the v4 and V4 --> v4.0 conversion so we can look up the column in the annotations df signal_space = 'v4.0' # Check to see if we can perform this lifting with the assay version(s) provided if lift_to_version: - if (signal_space, lift_to_version) not in self.supported_lifting_signal_space: - raise errors.AnnotationsLiftingError(f'Unsupported lifting from "{signal_space}" to "{lift_to_version}". Supported lifting: {self.supported_lifting_space_str()}.') + if ( + signal_space, + lift_to_version, + ) not in self.supported_lifting_signal_space: + raise errors.AnnotationsLiftingError( + f'Unsupported lifting from "{signal_space}" to "{lift_to_version}". Supported lifting: {self.supported_lifting_space_str()}.' + ) else: - possible_lifts = [lift for lift in self.supported_lifting_signal_space if lift[0] == signal_space] + possible_lifts = [ + lift + for lift in self.supported_lifting_signal_space + if lift[0] == signal_space + ] if not possible_lifts: - raise errors.AnnotationsLiftingError(f'Unsupported lifting from: "{signal_space}". Supported lifting: {self.supported_lifting_space_str()}.') + raise errors.AnnotationsLiftingError( + f'Unsupported lifting from: "{signal_space}". Supported lifting: {self.supported_lifting_space_str()}.' + ) elif len(possible_lifts) > 1: - raise errors.AnnotationsLiftingError(f'Too many lifting options. Please provide a value for the argument "lift_to_version". Supported lifting: {self.supported_lifting_space_str()}.') + raise errors.AnnotationsLiftingError( + f'Too many lifting options. Please provide a value for the argument "lift_to_version". Supported lifting: {self.supported_lifting_space_str()}.' + ) else: lift_to_version = possible_lifts[0][1] # Build column name & get scalars - an_lifting_column = f'{matrix} Scalar {signal_space} to {lift_to_version}' - scalars = self[an_lifting_column] + an_lifting_column = None + for col in self.columns: + tests = ( + matrix in col, + "Scalar" in col, + check_substrings(col, signal_space, lift_to_version), + ) + if all(tests): + an_lifting_column = col + if not an_lifting_column: + an_lifting_column = f'{matrix} Scalar {signal_space} to {lift_to_version}' + scalars = self[an_lifting_column].copy().fillna(1.0) + # I don't want to modify the annotations in case the object is used elsewhere. + scalars.index = self['SeqId'] # Check if seq ids will broadcast between adat & annotations (symmetric difference) sym_diff = set(scalars.index) ^ set(adat.columns.get_level_values('SeqId')) if sym_diff: - raise errors.AnnotationsLiftingError('Unable to perform lifting due to analyte mismatch between adat & annotations. Has either file been modified?') + raise errors.AnnotationsLiftingError( + 'Unable to perform lifting due to analyte mismatch between adat & annotations. Has either file been modified?' + ) # Scale adat - scaled_adat = adat.multiply(scalars, axis='columns', level='SeqId') + scaled_adat = adat.multiply(scalars, axis='columns', level='SeqId').round(1) scaled_adat.header_metadata = deepcopy(adat.header_metadata) - scaled_adat.header_metadata['!ProcessSteps'] += f', Annotation Lift ({signal_space} to {lift_to_version})' + scaled_adat.header_metadata[ + '!ProcessSteps' + ] += f', Lifting Bridge ({signal_space} -> {lift_to_version})' scaled_adat.header_metadata['SignalSpace'] = lift_to_version return scaled_adat diff --git a/canopy/base/adat_math_helpers.py b/canopy/base/adat_math_helpers.py index e18dc0f..531419f 100644 --- a/canopy/base/adat_math_helpers.py +++ b/canopy/base/adat_math_helpers.py @@ -1,17 +1,27 @@ +from copy import deepcopy +from warnings import warn + import numpy as np import pandas as pd -def calcELOD(x:pd.Series): # x is a pandas series +from ..data.lift import LiftData + + +def calcELOD(x: pd.Series): + """Calculated the estimated limit of detection based on x a pd.Series of SomaScan measurements of buffer.""" med = np.median(x) - absDiff = np.abs(x-med) + absDiff = np.abs(x - med) medDiff = np.median(absDiff) - eLOD = med+3*(1.4826*medDiff) + eLOD = med + 3 * (1.4826 * medDiff) return eLOD class AdatMathHelpers: - """A collection of methods to help with performing common and standard computations on the adat. """ + A collection of methods to help with performing common and standard computations on the adat. + """ + + plex_to_version = {'11K': 'v5.0', '7K': 'v4.1', '5K': 'v4.0'} def e_lod_by_reagent(self): df = self.pick_on_meta(axis=0, name='SampleType', values=['Buffer']) @@ -19,7 +29,6 @@ def e_lod_by_reagent(self): e_lod_df = df.apply(calcELOD) return e_lod_df - @staticmethod def _compute_intra_cv(adat, groupby): sums = {} @@ -28,8 +37,10 @@ def _compute_intra_cv(adat, groupby): square_diff_df = np.power(group_df - group_means, 2) sums[group_name] = square_diff_df.sum(axis=0) sums_df = pd.DataFrame(sums) - df = pd.DataFrame(100 * np.sqrt(sums_df.sum(axis=1) / (adat.shape[0] - 1)) / adat.mean(axis=0)) - return(df.T) + df = pd.DataFrame( + 100 * np.sqrt(sums_df.sum(axis=1) / (adat.shape[0] - 1)) / adat.mean(axis=0) + ) + return df.T @staticmethod def _compute_inter_cv(adat, groupby): @@ -40,8 +51,10 @@ def _compute_inter_cv(adat, groupby): square_diff_df = np.power(group_means - total_means, 2) sums[group_name] = square_diff_df * group_df.shape[0] sums_df = pd.DataFrame(sums) - df = pd.DataFrame(100 * np.sqrt(sums_df.sum(axis=1) / (adat.shape[0] - 1)) / total_means) - return(df.T) + df = pd.DataFrame( + 100 * np.sqrt(sums_df.sum(axis=1) / (adat.shape[0] - 1)) / total_means + ) + return df.T def cv_decomp(self, groupby=None, sample_type=None, sample_id=None): groupby = groupby or "PlateId" @@ -56,12 +69,110 @@ def cv_decomp(self, groupby=None, sample_type=None, sample_id=None): inter_cv_df = self._compute_inter_cv(adat, groupby) total_cv_df = np.sqrt(np.power(intra_cv_df, 2) + np.power(inter_cv_df, 2)) - cv_decomps = { - "Total": total_cv_df, - "Intra": intra_cv_df, - "Inter": inter_cv_df - } + cv_decomps = {"Total": total_cv_df, "Intra": intra_cv_df, "Inter": inter_cv_df} cv_decomp_df = pd.concat(cv_decomps) cv_decomp_df.index = cv_decomp_df.index.droplevel(level=1) - return (cv_decomp_df.T) + return cv_decomp_df.T + + def lift(self, lift_to_version: str = None): + """Utility to perform lifting from one assay version to another on an ADAT data. + Returns a new canopy.Adat object in the lifted assay RFU space. + + Reagents that are not in the prior version are lifted with the scalar 1.0, their value is unchanged. + End users may need to drop these values to combine data with that of a study originating with the previous assay version. + + Parameters + ---------- + lift_to_version: str. The SomaScan version you would like to lift the current ADAT to. + + Returns + ------- + lifted_adat : Adat + Canopy Adat object with scaled RFU. + + Examples + -------- + >>> # the adat stores the current assay version. This value is used by the tool to select the correct reference but you are not required to ender it. + >>> adat.header_metadata['!AssayVersion'] + 'v5.0' + >>> # the adat stores the matrix. This value is used by the tool to select the correct reference but you are not required to ender it. + >>> adat.header_metadata['StudyMatrix'] + 'EDTA Plasma' + >>> lifted_adat = adat.lift('v4.1') # lifting to the previous assay version. + """ + adat = self.copy() + # Perform checks to see if this bridging is appropriate for this adat + process_steps = adat.header_metadata['!ProcessSteps'] + if not 'anmlsmp' in process_steps.lower(): + raise ValueError( + f'ANML normalized SOMAscan data is required for lifting. Provided norm steps: "{process_steps}"' + ) + + # Get matrix from adat header metadata + try: + matrix = adat.header_metadata['!StudyMatrix'] + except KeyError: + matrix = adat.header_metadata['StudyMatrix'] + if ( + matrix == 'EDTA Plasma' + ): # Takes care of the EDTA Plasma --> Plasma conversion so we can look up the column in the annotations df + matrix = 'Plasma' + # Get assay version from adat header metadata. Prefer SignalSpace (created by lifting apps) if it exists + if 'SignalSpace' in adat.header_metadata.keys(): + signal_space = adat.header_metadata['SignalSpace'] + else: + signal_space = adat.header_metadata['!AssayVersion'] + if ( + signal_space.lower() == 'v4' + ): # Takes care of the v4 and V4 --> v4.0 conversion so we can look up the column in the annotations df + signal_space = 'v4.0' + + # go from assay version (vx.y) to plex (zK) namespace + if signal_space in self.plex_to_version.keys(): + signal_space = self.plex_to_version[signal_space] + if lift_to_version in self.plex_to_version.keys(): + lift_to_version = self.plex_to_version[lift_to_version] + + # instantiate lift object to get scale factors. + lift = LiftData(signal_space, lift_to_version, matrix) + + # Check if seq ids will broadcast between adat & annotations (symmetric difference) + adat_cols = set(adat.columns.get_level_values('SeqId')) + scalar_index = set(lift.scale_factors.index) + sym_diff = scalar_index ^ adat_cols + if sym_diff: + if all([x in adat_cols for x in scalar_index]): + warn( + 'ADAT contains reagents that do not have lifting scalars. These sequences will be scaled by 1.0.' + ) + # All the scalars apply to a column in the ADAT. There are others columns in the adat that won't be scaled set to 1.0 + extra = pd.Series(np.ones(len(sym_diff)), index=sym_diff) + lift.scale_factors = pd.concat([lift.scale_factors, extra]) + lift.scale_factors = lift.scale_factors.loc[ + adat.columns.get_level_values('SeqId') + ] + elif all([x in scalar_index for x in adat_cols]): + # the adat is a subset of the scalars there are extra scalars that can't be used. Shrink the scalars. + warn( + "The ADAT contains a subset of the sequence in the references. This file may be missing measurements in the lifted RFU space." + ) + lift.scale_factors = lift.scale_factors.loc[ + adat.columns.get_level_values('SeqId') + ] + else: + # there are differences on both sides. This is potentially a mismatch. Fail and inform the user. + raise ValueError( + 'Unable to perform lifting due to analyte mismatch between adat & lift reference unable to lift.' + ) + + # Scale adat + scaled_adat = adat.multiply( + lift.scale_factors, axis='columns', level='SeqId' + ).round(1) + scaled_adat.header_metadata = deepcopy(adat.header_metadata) + scaled_adat.header_metadata[ + '!ProcessSteps' + ] += f', Lifting Bridge ({signal_space} -> {lift_to_version})' + scaled_adat.header_metadata['SignalSpace'] = lift_to_version + return scaled_adat diff --git a/canopy/data/__init__.py b/canopy/data/__init__.py index e69de29..17ca85b 100644 --- a/canopy/data/__init__.py +++ b/canopy/data/__init__.py @@ -0,0 +1 @@ +from .lift import getSomaScanLiftCCC diff --git a/canopy/data/example_data.py b/canopy/data/example_data.py index 78fe632..702a1b5 100644 --- a/canopy/data/example_data.py +++ b/canopy/data/example_data.py @@ -1,5 +1,7 @@ -import canopy import os + +import canopy + path = os.path.dirname(canopy.__file__) -example_data = canopy.read_file(f'{path}/data/example_data.adat') +example_data = canopy.read_adat(f'{path}/data/example_data.adat') diff --git a/canopy/data/lift.py b/canopy/data/lift.py new file mode 100644 index 0000000..5c31e2e --- /dev/null +++ b/canopy/data/lift.py @@ -0,0 +1,172 @@ +from pathlib import Path +from zipfile import ZipFile + +import numpy as np +import pandas as pd + +zip_path = Path(__file__).parent / 'lift.zip' + + +def check_substrings(full, sub1, sub2): + if not sub1 in full: + return False + if not sub2 in full: + return False + return full.index(sub1) < full.index(sub2) + + +def getSomaScanLiftCCC(): + """Return the SomaScan Lifting Lin's CCC DataFrame.""" + data = [] + versions = ['s11k.json', 's7k.json', 's5k.json'] + with ZipFile(zip_path, 'r') as zp: + for version in versions: + df = pd.read_json(zp.open(version)) + data.append(df) + data = pd.concat(data, axis=1).T + data = data.drop_duplicates().T + cols = [x for x in data.columns if "Lin's CCC" in x] + ccc = data.loc[:, cols] + return ccc + + +class LiftData: + """Lift ADAT data in RFU space from one assay version to another using built-in references""" + + _supported_matrices = {'plasma', 'serum'} + _version_map = {'v5.0': 's11k.json', 'v4.1': 's7k.json', 'v4.0': 's5k.json'} + _zip_path = zip_path + + def __init__(self, from_plex, to_plex, matrix): + """Instantiate a LiftData Object. + + Parameters: + from_plex: The SomaScan assay version to lift from i.e. v5.0. + to_plex: The SomaScan assay version to lift to ie i.e. v4.1 + matrix: The matrix you would like a reference for. 'serum' and 'plasma' are supported. + """ + # instantiate these variables they should not persist accross the class. + self._scale_factors = pd.Series(dtype='float') + self._matrix = None + self._lins_ccc = pd.Series(dtype='float') + # assign the user values + self.from_plex = from_plex + self.to_plex = to_plex + self.matrix = matrix + self._df = self._read_zip(self.from_plex) + + def _read_zip(self, from_plex): + """Load the zipped subfolders and extract it into memory.""" + with ZipFile(self._zip_path, 'r') as zp: + df = pd.read_json(zp.open(self._version_map[from_plex])) + # missing values are nan + df.fillna(1.0, inplace=True) + return df + + def _get_colname(self, kind='Scalar'): + """Iterate through the column names and find the one that matches the __init__ parameters and kind. + + Parameters: + kind: str. 'Scalar' or 'CCC' along with the assay versions determines the column name returned. + + Returns: + col: str. A column name from the reference data. + """ + mat = self.matrix.capitalize() + for col in self._df.columns: + tests = ( + mat in col, + kind in col, + check_substrings(col, self.from_plex, self.to_plex), + ) + if all(tests): + return col + if self.from_plex == self.to_plex: + raise ValueError( + f'No lift is needed from {self.from_plex} to {self.to_plex}' + ) + raise ValueError( + f'Unable to match column names with {(mat, self.from_plex, self.to_plex)}.' + ) + + def _extract_reference(self): + """From the reference DataFrame scalars and CCC for the target matrix and target version.""" + self._scale_factors = self._df[self._get_colname(kind='Scalar')] + self._lins_ccc = self._df[self._get_colname(kind='CCC')] + + @property + def scale_factors(self): + """Lazy load scale factors.""" + if self._scale_factors.empty: + self._extract_reference() + return self._scale_factors + + @scale_factors.setter + def scale_factors(self, scale_factors): + if isinstance(scale_factors, pd.Series): + self._scale_factors = scale_factors + else: + raise TypeError( + 'LiftData.scale_factors must be a pandas.Series with data type float' + ) + + @property + def lins_ccc(self): + if self._lins_ccc.empty: + """Lazy load Lin's CCC.""" + self._extract_reference() + return self._lins_ccc + + @property + def from_plex(self): + return self._from_plex + + @from_plex.setter + def from_plex(self, from_plex: str): + # don't let them use a non-string + if not isinstance(from_plex, str): + raise TypeError('from_plex expects a string ie "v5.0"') + # always lower case. + from_plex = from_plex.lower() + # make sure we can interpret it. + if not from_plex in self._version_map.keys(): + raise ValueError( + f'from_plex "{from_plex}" must be one of the supported assay versions {[x for x in self._version_map.keys()]}' + ) + self._from_plex = from_plex + + @property + def to_plex(self): + return self._to_plex + + @to_plex.setter + def to_plex(self, to_plex: str): + # don't let them use a non-string + if not isinstance(to_plex, str): + raise TypeError('to_plex expects a string ie "v5.0"') + # always lower case. + to_plex = to_plex.lower() + # make sure we can interpret it. + if not to_plex in self._version_map.keys(): + raise ValueError( + f'to_plex "{to_plex}" must be one of the supported assay versions {[x for x in self._version_map.keys()]}' + ) + self._to_plex = to_plex + + @property + def matrix(self): + return self._matrix + + @matrix.setter + def matrix(self, matrix: str): + if not isinstance(matrix, str): + raise TypeError( + f"Matrix must be a string. Supported matrices are: {self._supported_matrices}" + ) + matrix = matrix.lower() + if matrix in self._supported_matrices: + self._matrix = matrix + else: + raise ValueError( + f'"{matrix}" is not a supported matrix. Supported matrices are: {self._supported_matrices}' + ) diff --git a/canopy/data/lift.zip b/canopy/data/lift.zip new file mode 100644 index 0000000000000000000000000000000000000000..618dbefb78d7708f0a2bc20612a05cc591256cf3 GIT binary patch literal 1010067 zcmV(*K;FMlO9KQH000080IhydShHY)6Bot?05rc900{sb0CO=hYc6VYZ*Emo2>=6T z=g(zm=g(zzcnbgl1or^|00a~O003OQNzyej&n&c+Kkk_Ki*j$X1%|AEAedbsf&eCL z9;Y(pBRyv(pDLGISyq$!|Nh(m{J;HQ|Ih#aU;p#}`oH}5|K%73l@>A(Gt|KEQr-~Iio`@j8<1`5txESUf5 z;1ep?|9Z13#0s@}sr>tDm*JvRU=kSwXL@H~PQMkEr2w{IhRVHllt1Y$U$TPqzNAO#8og z7L0#JkIo9)9f{9s*q>fm|IW5n4ZU*Ih;L3S=-v-ELnE!?iZ##Nr*(-M_>MOW!{2%|%fB)|!H|M-+Ec>~GT{)KQ z>S&y>x)15jR`63C?Hb8fkY4 zH13yH4@)%uOLdO&Z&=qGhp*iU8|+%u6L;})aP-P7>X}BT&HAr#ID2EkokVNtIFkjP z8{+%eig`Dbmitg0cLub_^ve1-xw6zSOf;Y1a&D{sE7twOX>IGSMjPSAA#Zn9?2Wt7 zNiWd8n%nUj%jEN?=y`SQOf~zk=jSd~P8p}Ym-%lU?tIdB2E_?B3l3{60~RM{z2&^4^(9MZSKk1J%dVEN26w(0T-wrOyx`dxOM?#3P0$K61k zBc~@C*ZyVbr2D^fINSWlxNGQ4E;~K4eCXKD`Ds^^rS`jU*|Dmw--TN`*C|_Z7jA8w z4ZWg;Tc_Sw|HfuV_|3a2vBB=>YP6Q`j#4?pcbN`0i)7>IS3N%U#kuwW9Xl@k;}sl@ zX4jgz+^F$r(3D?ZGpw0g&ECEfd;;!L=Ns(jUFg2@^?!F(a@f%`#GHIpoVP(ITXF6> z?A*hgv7@!#xf#Z%18ec99$%G!&^efQL5p481;YZ3b|IS`-w^L_WIf}G6dcQs9UUJ= zYufme_lzr3OtF7{_R186TaL}TA_bXK8T?9dZq=vW=;V=&>*%g(|LUhVw$@EiPioO< zRj$@?g^c?jWgV3)9ZOu_<8Ip;1b|WBlyOprOBq#z(~57Z#h$jt@z(J^t{Bq4*sA77 zQ0Lkl5HjqE-B@r>10JSaCgX10E~d+G+ykGiedvwx>5M9>b4U#IX5Wpx+3uqU8v20^ z!qL4OnJfP5dSG$Z7x~q=A_4hL(ZYHAn3CqeKIWF;C+{}y;%F-H8LetH&Kn-!WMKnR zgtc;0M7!KpQ(Ad;jJs`Tlo1BR2udd0Gvi7TU~0E#tn+SV2}fL;cbkg4sNMHC;_0v` z{EV#`yvGFT?jp75Es=QUntPK-VIz?CZYkrN=Z>^K`aOvpVESQq0 z%RDT&Yanp@d8Kx11CR1qK2GO7Mo9A%zHQ>}nGn%A_@AB_TDZ+$xyLF;s;dA;(1%JU z*Y>RMurGxLMT??Q4xD#~9WG_oaiw@nF~&v(cRP%5n$HRjMs7}4Fz=q+HlC7o=G}9e zbCTtsPIo@vBqmO-^?9ZE@rBJWo6ceh@w55y&rLtOw@dp{ftGgB zINf7#aY}iT&MAReJ8&+_4E2r-YqdSmDU(nU}4Va?&X`(bhAkj<`I zGtXOhL-Z21-Fh2BceB;})H)QxR>O6Hn|-L{PQm=0@e2!_yqL1zy0_BGwZq-My7S(} zOa8(cW6N!G#jbm%RP953rMrY9!E6oPZHu};{BB#+(tC&$o#Gm?F`ppDi5=VJWYRcA zbnoXqe)&1lo1UnAV{^AI2zy*S9P_(m$&@;G=h|;EQAk?27jnsxL#!*ANmalHp5Vm; z_f8&}?c$lTu{?E^8Z0Ppz&8v0dON0`IJWq{`-BbNE;>aTM|T&O_j$?RcP$mMEw10Y z2E|-E#h0ynOufyREVv)})DtTZyTv|Y%j?^EOHVBA_`-#-ow=6Ab~YFJ3x{)GfoAp~ z;p`{C=x)F7ax7X1oc4Qs>(C`j*nNrP^7Ptwv6ZG-=T{)Guw7iS`!2S^?fY>dY^*Ly z80`IJy3&(ygYU}^C*?gJnj6;u_MV$B{$!Wu7a)RvmPlqsm1idfn-ie+e98KX+KR5 zM(5r9Hw#>8!WYW-E?2hxZb22BRVxbkE;VV^^;^)@kIxJ4N?E)R*c_p2T3v0ZlB3aS zrp!T!_`eBn_vbpTVLb8vrdDjTm2rQr{+av+WM{5=UQ})sp9H|Z`PJ%kQmP8B?7V)m z!Y#O8`6zc5b_Ul|311wcdq17jF>E%y;i%d_27gPsM5)^OPID<{h+b|0_}F-CQ1))H z|4?aivys00)0Y$9fbNMRc43{}wfCj#3BRXNwR8(yrf#1qo!X8c=Nf0m`fZh4aJY3E zYaE{xXp^5D+>75E3RiMd(z^8UZY_=sG*dd(NpEL&g-sgA?~0vIOm_TjoAQK}DZ1(+ z-nfk}L)S^T*r?h4I?9zabHdGy2`Q7)6CCtNGX%lR#k%2R)Dof=c=`ShNXfxMJ`!!)sb|{o;5#DeI&t~c#0Pl_&s`oN`=juggjL3f2g)e}QK=NGT&LEEKzwS1c% zjrQdXWzD#7FE2Q{A+wIl40I*t`FijCl6AETE-#=`uT_3!f6l)|7cEu20CAd^81kRG z{U&0{nba0-^)3a z$7MsEtMxdW)~Y&J=Hf_E+PSv~9dJBs8YB}g|6$ViEfMF}c4%M<7+*QW=j*FbXH7Oygs6f>Zn zz&Bc#3aW5THM>so6O>Te__RSO5*JuhtM~%hKpU=~u9_gbAkdgU^hmd(@NNf<@OYeF zeYf*&`=!LoHupj?&QhgoO;5gSncvj1e|w40xpq?h3%JwX^%^r8T_0vx4e(ZEi#}DD$RB za=X=n{G{K*lR`%4wt@j!3S=<2N!m%_zCI_}=(cV_n{%XwEL?oOk&a;kzO zE0HdJFf#Kpq4S`3SA6xxD%|Sa{ekWWw(5kfiZjTg5>{v4;TAVUAD`Rrb@72!d7Bb} z*XUa?X_l+xAh0P@eA)WS-F7Wkal4|1vSCv?7+t?$Lq6fu=~LQ(kF2xLw~=|Kz$PrU zHn|QAzFbzMo@CDJO25aJY$KF`uL!SOlqT@5Z80E9-W{h97dLh7#SFkdg-n4NRbB+# zwJ4Crnu7_m=@GN7Ea)`ISJ~_f45vDntRFCGN*A|OP@W2~vB1S_eZ(0ycll^f$rG)_AYKd+?jz!=>j9@l442)MRLI)lY|-c1eps~P`UQ_14DaE zH;{1!xxNF78*_=dYwM4>qsH;xV?W7pjT;+w(PQV1ZbyYCB z`qt6^mrFNsR2$a`Sx47#wgB3fxF2DylpL~Eu*C+3+H_aG1O#4!rZ03|K&NX;XzVR8 zM_MBe8Pjw{i5BS`zMrWqy#-B&Xwx`dhPz}3WE-&X$&=UABX>8=phkm5Q+I71v@l@m zO0RZJ?|WArFj!i_)ClQLc7TyZaz*@+#;O;q~Ek2Q4HsnB`x78I_krcZQN zB$T5ET&y%Pv*PMn&u>Xo++C&e;%MUPx@Gq5ETCiwDUcr-uA-#dLB+LHP8w7xR@_Tv zmRtPpW#7DceYUhJE~>$utKwQJV?$XSAE>Um*b3{wHT09;3oDsVDOfp#&p1Du3byXD zA6FYLrhYSLf8mMA0uA!=^RI0-%~jZ{;Bq-}bNziUjdJ{8!}k*;HYZ{0GREt}rMraW z?FGZdQ_;_@vh$-`Ol}l@b05FX@eA-EkY1m(D+uS|I9y3y3fIX`T%N{h{hP*0=+*<%Q0~zM@$g*W!eJ{bs+Aqj_2RuPq)vA&vTl}Y%)b3Wa zud8IZQIRf86`t4>2MVekxG~!lVq~&SK9f*6hc2nn|wI+?E z2IR*mxEye?-oXrc3!bmF9=LNUR>IlEUEAI5SkSAMl%`Jiojd(o4-9P-@yHH2@choW zio160^XH0KaoLs*zOu8!FP#i;sPOrgN594kx@|cSvmwxn%@UXi?&p%IXiu(i`*y*B zANGinar6MgD%=sM;>Io~eXTHydgCg38EYG^dfA6&L)j_sYbZy~v z+>b*`#iLrZ)~G_m4Tm*e*;Jm?jpKHi85a`6WGWO7W*68?6-q(-X*FNz>eL^vGPm;< z_xowC$(0T8za73pE_%vatn&Y`WVCJF< zzjJvUb5qf+oXsGujxlQK(vZKn>dZP(Oiuf}WKU*;ns=}jI zXjZJ_dGZ|12rjqswa^pO!&X>DcNMUtGAL=>bD1q4#cvNBEDvs@J9Zu8^@IBsS{&~5 z!#0ec`!2_3Y`GGMp0)))-PS5}IJ}CHRYQj(;Z^_ZBG9#p=6;^1Y|=dMoaWkoj_vet zs!-5WxtVEyTy7&XvtH@aHB64n8m{tGE7p{?VtJj*4MgIxV?Ea^GAww*QzRzu7*}+X zZ@Z@FvK#s3@kAMLhogR7v^#+9#VRj*ndyxn8}TE@ebF0F;Bge%QM7iCdw20>bqnrC zBxjR8n&QPNhC}^U07PZMi~i(r!o{9da&f~$ULg~O^wdT_6ho)G^n6S7)}Cza#w_j~ zBKa8Z@y1+eG_3HB9}3f$EU5C^Z9{Lkl2gLTgnUC8Xl|7}o&6%c!3Vt(}?jAPF zT|Pa;rEERmOjNuaIxMdKPtyUxMK*YT<7pMBtGER|ql1?qsJUe1)r<|_GCFch&BZmK zkNBMX|62;H)!C>u55%z{L`1$((1Z%IBxl^u}^^ z2>Ue^@4G1Uo6<}dHBQHJe`Q8`R%p%SkxI@DxBe2GSZ{$lE;c=YvsN*xEZF90c268i zGEky%PMcPZ8~d7?1udG)flDRY=bz>S5pvvvB&RpKs$lsl(ev96_@+g$-F5HNVm}^M z(a9C(c@snd3c9-y;zuju6%@P7o}R9g(znB9NAnj_SE21IQw}+LVmU7!`l>ISt{reZ zw5f5aA>={Uj6vF?TzODhz=QN1dZFpUzV(2MM~ep~;vK}g8)@ya?lrnU`Op`)0wx$g zU7?hm5(I4|Rw*96!^I6P<@p7zRzyrR=^2h*>AJ)9$*&gQbGoou&_rOPtM~y@^go?# zaQYg3x#|ke;}t;`vQDudS9;oVRb>rz>NwZXx|WlI{(@hUOy7LINlHAFz}It2qPzbs zs4o_gBLz`Ou1q|#RvS@qUDwYh#vO+k4e~Fa4%k*l;E4++Fx|6{9%+7yEGjU~fAu@# zf{E*dLkdwGoMNv2H9j{Ta4-i|BTtuv7!H~CSR;fdZF}~8_;h`$al7M^f8zKxi5m)PevnOTd%cxOo`@)r5Y2XJ0u;b?gG+b0 z51l@_+yU`uXx4dqm<3QH8QbNJeQkHOtor7DKCQgtAg-iqzvzj3cvHcvWdR$o91=M; z+b4`??K(g34NlO}QL2^a9*>KocmLcQkeD3N>jIA1%d%*Be zG<%871{uX}E|XNsHHfB>YXeV;-5hy?yb8fIg&-u-n8JQicR0ZiOw*&xvAg!{$D?FF z-)eD^-Mu4HRBZQf++_WT$EoUwzOj99IhxOMQPs|&>m)q|FWsC2e!Mj8=WhM!4Hsji z(Ap5TINn*GaM*Ir^gxY?a9mGnL3#n&voe*(2Op*9Rq-0T;4`HXjH@rxhEFiSWg?w zy@4noYU!ndJ95IWuGu}?g%l|=U`~`1pl0~EC9i3$AWl;~$xGIGejRjcZQnf&cv0Ye zv;jV(sI<^*?dpd; zJHDGdFz7zt0HLH)Qq49z1o=;JXtw)R9S+5Dv+2|XAB|Ph(7@d~=pt{y5F6myy#?!8 z{1Ll$3Iur*e`JIaUIv zzXj6p(5>du9%V>-%`F&D+r>H|>eSe*drJ~W8+^k2x>;fj=9aijP}$X|Xrcn_7PuvM zm=UlcMr4Hu`i2;h8bWrP#fU5}P(A^)2co0ceeo7JfZZT7sAiP^!p1@jNYNF9E3p3H zve?#ocS;`|W2+WMX6=hj+HE@w@oVshmQ1@yZ)vF3X2CAc9H)ZrPE-u(Zm=s?nUD%U zyMMu)g9TeUk1jxZ$KNXT*IWpL* z=sVa7TY7TY`R#Xi)8@eBSTH{ByTt&qo;Lcsc^|8Uus`yk^c|O~Q$_l8DI`oYe%{fmSXN??GLtaUX)A6&)a#sT$ zOv=$l+Fc{HePE?66rIji6;sP@lO4luD;eJ|1r3H;a&Ud5=-xLfKLS>A0z(Hn7_Tb4 zi8n(B<2GL0_-474AgXtUhga#9DUTGwX*3vab^Fu zq{s6`)dNx>6n&z)d+SmoANq!BY)>yjrU|30zR96_FoBbw1TT_DGshN^tx)~AC}4vP z_(+%5#gSLAW+qvVt!Uk;y+*hn|14z|W`77JtXNv%y8mzN5 zFsbqUk{L|UMgS|-8;%4dh7N2p2g6~(<4Q$z@xzVcCycR7kK~)Mzl)%AL2Wz;#EubWGYdWHY;@d)m^AsR93t%$X}} zdPp@ffg0e?=;Ok0=7z`sYDLK%5E;PR15IYl(9a~Q8vXp&7>v+h-F5%>!U7L#c(j(I+hik;( z&pug<*^chP9EX)$`I$0z(eQQ0kf0}jLr6jq7&8loLymNgC-jB73vfn8bt5K+58zRh z1T>zbYfrM3u+=IgmyL4U>=^oj+r6h=@K_Au6tt<>oOg$`00rI|I}eTd968h|K&-{9 z79tj^03x|-VSJT>ed#mD;b{4l%R6X}n!KIC_^O)}88Si^f*<*%+XG|aSJ!j2sd{63 zWY{Fjn_D)k!NY8tLeW?jb-WGcSeY8g6X$jn`_Oki#%E{_J;tYLMz)kFzR4cYk(zlN zg0^TAogd&PKZ(1_h*!c%8ONhYni*TQkT}g}DWdI&7o7bd&Q+-fd~*-{z~dOG+F(kR zGg>FzU5#H!yBDq3N#RXkCCw?fk4s zgY@(}2^ZmkqYn2pC(Cr-0Z6n#`7N1(iwxTDEz@>m0q#ojw&G{IJ8DZjJH1DbqD$+l zKl~#woJqZ{C!RNz9&t-G@n9NM>HC0>d!noS>W52(a_z@7wpQ=SBSd;f*Ot)Kt3vTws&R*s*(?_28NtcsbP+xE{zdBqPXMkCU zH6{RO87(CrXKlC-YSk3X?`<2_0AE1abGT;bGfjT1V|I@l)g(-};!&a2&BPO&O#0^l zVO;|}9Rg0xhWIIQlT|JUXKPy1jIL~gBEfa_4h%xB47LG~*+FRQh^!;BTGtC( z%CfJkN64HkXuuF7=s}8qM_ruTrqOzvm*>(8gh;aEG7=4OPZ2M9ZGd+jNJON`7Pd-){?=aG0%h#n%gdm7QB(^b5MyHUJOn zCs!sGIMO9`;JpZYs7m_juw#kgaAB6>7dHB>bOT9LfHK=vrOseTc?SZbXO}1}sE*@9 zmxOMHEWs434u_)P{J@Yk!X7NJ1ovA*}ZZkW(J$HSuek;^;f3a;U3RTr|Z5xkNY zFOFQSz*LlSURAc?ad&Jc1Tk5l)X)cVI@J5#{sm=jFD^q3K7U0hMd^?UmhNb-Tkjta zn&$iCBUbe$<1IsOl9dN&8TuYQOfKy{c8A*waER=+uUudmt#Bj*J5T`QJWzoZsFO^c z+S5HHE1y6hB(HOWpFPVjk@g1Q^%}SnErK2BdLsyS9q4+xUyG)0&{tLcJa~iT!{nwt zp&M|WppZCHfUa{c%rDAkc(*55C#m)U1lpwr^U72ey(v_#G-xsnA%*IS<1NG*q6vpsI>V@wUomqC+9s6~)X4 z5P3$1L0&i?=q&ZJ9T6%Lixz2z!JDe#xUr7^UuLR{yV~$Gr&5lB{!yk+F1h(GrOgZ4 z3(Dgwtv}yrwyM2jyO4H!Jy#r5hgJ3hu9-PJG>0n&Art{OvRftuE_@y}7T>^6vSZ7` zOBkTlEo%X{Bbg;44TH+ORf4r{t=d%>p;6A&0mkod)n&saloJ(Sh2XE0^avVFLvIOvmGYB=e;9*J` zYZ`z@)SQ{h=N9P7$l!xZ4~MB*q^GP9+hqJ5XpboRo7bAV&5V7?pxRjj&POx998Hu>Xcs$0G7%5&-GJmp*Ykmyx>GcuTJWWghLJzY*|!0B3Ri_VQ>iyCHoL2hb~;FkD$@ ze|Wl`4Oc2czW|Q*5}i;$8^Do}9?c7Wi5yu60-ip_e6nG{UMs(IW&lQl3MQ?v=KlXo zC@_E`Aw9ilx6g6I54iIvQfTq358seRj{zJBISEw_7#w&su_|aT7JsZ{d#yCl4**B# z&P-d_X!{K^8?u*!>K~5SgKVi9(|wc*bF+q{Fv4?07te%17nK1p2|1Zf6%5D0TKwv9 zydgW+NB5k7G5n@M2OG^*8zhj$zcy=+B~F+0N=1-X@R?`1_P8?iz(f{lFu`$6WO!e+d<>7rLg^`T>(qj}UbUl_w3Z$!KPvy<_4 zcUjgzOn1s)zKH>6AOY5@2~VS1yau;dGxB%z7b#6k*MP&2K*YSjeL<$avfRu{N2mdZ zAs+2q`-aNE|5d|uA(oABt2*%zMt|GBspBsNNY}c(e4wpGqZA8pr(mT;B`;o*ZV|&^ z6@pH5bVtN%BKu3yKw9xF4B{N{<&hm%^h1}j!+ngG+Lx%*Rv?!pvN-tWwDU`UI>t*Y zHn;=fiKBCyba_|dL%Kc4A5J0sY^rc;^oj&ooqYz7pulOq@#6Kkp@u`Fa>tI^d{r&d zFJA!}CcJ7YVQ=$Eo964=K)1*MRzw`#;*=|(n$0@dgAF^2M14?{Hh$Z23%umi2E3Dh3NrOVF0XP zO4q=44F?J1VF2`kA%qapRjHniX2@`ybhBi;=FIzYc*t?nh|l9#M5KW@N!5-Pk_F9h zuXmO7r&VFY%>hO+5URy3iIq?I&g3O}0FA)$I7z#A)ZBXDMU4#(-+qv6>=@7rK6(DB z4);}Qn%3=F4k}{C;CbwcC5GV_>^L|;WtIAwUv>CDqu}kLcrA8gzJ1xqEDW4L_OrzT zcjTikegN1~N?gv+57?4i5DqU&5JX92y0@(k@L4>G9e2buWD_Zz8cXCL$Gp>HIzrx} z#DwdkuEG4jx^E~acq+GHptYjk$aZD&( zeCMx9YV=ul&o>+{^2d|<&YiwVO*Gk17$=~>_QC4SNbw0|Yi z5K}2kL-+s9*QFiFc{dfTUKyWqwq z7u3O8>I+ddnR~VuY{fdONAz>u;8;{-fbFn3UIKKkBSTRRLdG1P^UsdS3GYogEn6GG z#OdEt_<^0B|K`{V_5Jh#Ou4L(Yyr|c(1B{Jz|ka~?w&)-uB{UsTkiIaje7A#v`0-S z@C0OF9CrqV-6riggjBCh@N8$ zq^UP2U<6!MRaxL({Pbj;YdoDfZ~fDd1-^H_Odty!sTSFc>F%$pV!A?uv4^){IBLw` zSAQ@8i}ZO;{QSl*{hDZx>8C&ZT%ON_@%ZzB0Bn77KRmF`MjeOkGje}b*Gs!yPQ=cK zAc0GJx&lrHV&~-rX}6VWi6ePR^8tr2)6%xMc*XLN-maslYQo*W^7$cGHrQVdbYr8c zdsFF+<_U@P4bP~{(`N$WSHrmY(LUb%lU@(~f;A5JYd7`ZwD55X=v;G_-cf*oK&6U14?HFMNF7sixasa<-YM2vT{fn$JmED*R?US1&}EJl=MY|T(v0B$h3s{Pno@Nw zTg80^$u?Gb+7_B#7E;ftQF=fOllJljOKJ%BU$CU^Ao;HH7BAx!R(b4?_#_Lt=M-2? zQeWId70j3XP7mytl7yX@CAZOd-+GM33fd12b0M*u`@1a`IJWfRC#L7uYy83!N}I-Q z`So?H6Kg~z>!oJ`zgp#ZCM^cxEaYF~k;s8N$D_YYqFk1Kjiy-64YI9yPMOYvXQ;7* zWWoF^>-|<8?nX&8`@7p8S~#ny{ee;P0e70GW5Q~0QQD4OCKJh}X0zbAezKYEw}cQZv18RR^osZffm{~Qs>Kia|8S4T zw%DrSDktvO_F@pJRa|ZQ#nowr7=9YsIsA&iUQDU;=G5~Z1K;?(r3{esHru$Wr|oW} zJ^DwpzVr%M{`4B>5^d;TB)eE}G;j2WzBK6mlPC#Lg09#pIUQdN*Kbq^V%GurBN zM?{GQEwqGv0-G(1TjiFn{K)wnG@PRWtBpX}?PjwEZi!VvF`Fe0rC_Z`O)@^rFn82E$Q zbXl;Ag3fGYrsL-<_3Tu-vLggO|3)N1oZ4r1UfnGP|| z==QZ7b5zZ0?h{PmWI3V>9Rn94J~SPC{bgq0jel9dhjy?E=1YRZ(SJ5Jy4Eh-i?bq_34G`#$T=?T#JLXa^X@u6)Hn|DNO*gzO40d(~0x6a7!-1 z;bsADuLenCnY~^9)a>c>7@*2#&gofePAUES`XO?#evp%=OvDER@L3oB?- z7Et|Y7pLCn7Wkgi>OaSCNw#c&=_d?7t`g`ag!kG>ciMm|wQ>uJ34vgJs>02tpK5sd zeR;G1)Q@>tH67c}8XCeEF#UYHkd|ae&yaS`B*6 zyq!%WzmZs7nZ7$KD89#N7}!X)9<1#fnbxK9U<=B8W*XAlLwp7cz<+v)RX$kJqE=LQ z^q~9dEpQzo@jAD;sCV7|J4=>lj3}ht+($>eZ8{B#%rp;e%bhOF3l(^*3*nS*!2=do zQ`>_D#u^m|R(@N%Lrs@v1;ikXBwQD0M z`urV?8-Duj=MlY;@Z5dxSmSZul*$^9Cn{qLPJc1n9QpHnLi`D-C>VFT-302s#oIEV zOI@e}*MczT&$gWCa=!Rf()3Q%D~^3H)(r9Ic@WEbpbI~Z?lBvNR@nl{#^Dq!6AOnIhS#F}wL_ISm<#V4 z8(PN@Z@A$jEES=?0z)hTh{#c4h?S{U!&N=nf^In*dP$+qX#A>k$jw%OZ^(m&Eq~Dy zoYvN)K$x8sG|%L~548Fs7&)5FJ%Z`@v!Rykaje>Ypb&cFyv&wrb$CxPEYB43%C*o)=*Hr{e~dyu`GoXfm@f05T4IzI}pbo<=x`5Mu>zL7Mpd@@vX zlKtxNX~BEexT-1N9-`c}Ha%+`5h=HM`fBj_(epgU2Ak#C%%@2A%lb6@9%drS(Y+4G zYWAdlgKj|YDVGBkefoy=n^>T;dTfb0X9;jD{)O#9lipn zf89U|lv_SOsvTNojo)2qncSYT;ajY0^3p5Luf!<&%j8P{rrjM_m=SpU`5LPq#Vx@M zpx*E-?lSoEh3ZI2A9ouRo`m5fs=+p7K%MofwYkeIHI4h{bgL=p6rjPb*i1->)8gH@ zFb()z)>_gYA}r2~OOY<)pWbkHV!lv|ugXojY0`(Duid?o7U|>un5>|AxWE2yaz>`b zZR2h;#q3CX3MZoGY}{lhHGHbTaS~_}-5VSJ)4hRhattztOKo7B*Zwo&?d@<5WC{D- zGdBOW$m(Em+du;6i8=YrIb-nCrKK;T;eBt9A=1GDTyO=b@Ztg(a492# zYt&V5ewL7y-+3<_{l{b;fBpyxFkHbVe@9oxn#~Se>htKymF6^BrWDThAQwY z49%Cf;JH}yWI~={hhS+eaQ7VEcg;*LtktR~+_Q+mgByv5J=8)^Y|s3uhCjzUUhFrl z7}<<9Wy#pub@xm#aQ+bEj?xhT}8?ZALdyE>^(Jc$~Bfs^_reNq#&K zLYHoU%_#q*#;#bfxF+3jh~18Ku&W!EmU`!sl5@kV+YW{;5c%k(c_M&NfQ4Tm31209i3Op}; zXCt}?moicPEvOQBsjoWa0Sz^OqC4m?TiIVQj%Y{AV3WGz>CrZI;M(ENzmo;hi!M#~ z@W7~{ZV!*keFa-^3|(&=&)3P3bk7YQuLq7A5?wZjVY*(sXe8%$_rtXJJt=|5f!c{)m3^yVI)?b*C!lzeE4;p;WyRy_z{#Wp z$dm&`R0*=*sh>k4F4F)UD3+8JnYxk#-4eB7+(6asuoS|Msg|r&oB(K+Bt-H3BCmzP zwO(=iqv+2mtrpp)DmqJilXI+~Hwtkb$J9n4*8V_Aq$#c{aP&`xG8_OI2t;D@iS{$2 zvRyC0o3IoITB9Yu02R!HdUXs9fq|w+1+JjvQGE*>KS6zk{6`V;a1x85#_m^O+Mep5kzBAwO_ zJh!Cd<#&fW3eTx`Jf4%czGFJ8HGdJEr#h3K8urcplc|1{Q~IjUdCJ#))di&5wBa4Lz?8yx3}Rr8(xbCd(%4sIIcF z++@%W`L^T}kOImte3k`@2h^-yM@J@YM2}j@wFoyx&7y$V>McM ztif2Ag6|BewxBugERe-}PtxU~I2_Whja!r^$BVA1Du6e$RF&+fMSS*P!8nNU6lXSt z%`I?X5N=aMd^*Mg8%pqVcqZ{H!!LJQtBCk?+%pv*7YCWxVB4n*HDdOFOxHzL|3B5T zM(YQWF8YN@a{Lhjs?Kw*0wZ1b9KEtU-7DvKcwjc&PR@9zfw|fkG%3YAM<-qXB1};zu7c)q@PNKVwR(Zp7zeSF^esAE;0DdZT{u;RG$*0%)fzy>haVqJS zBIyrYs<1|!mm7kO{ZA2Xy`;{k^98utAB8ii#EmiZ?>`nM#PgX4A>5l}wBU|fbEPn# zv*vzIrL1FhCfT8h;#g`=c`LDJ(5uOiGFjk!ws5t-OrBd+oR^ict3W~leRd9fb{JY@ z6^Lqn$M@zm z++o4orBL7+ZZl@0!0}CRCj^b#fRt5yWpW>v+KplV?IzIw?(sTfPOB8=E#T=_ie$(2fc&u3ut$>9sGZL9AjsV+vTf| zBk}yg8r!^G5ro44^zlSOQ=K>t1=-Z3^Wp?*<47=Q7ak8*iGe{b`C&Jf3`hMMq^HF4 z${8{EM;UdDF0MSVSOgRlPvB8Vy9{ktY!tYaXJK{3zJb5A^vK^oRFZ*z*3IA~ruV z+(g#-05DrABrn!Ebx8H22VA41!CKEKyZOTUC4FH>Uv5wH97aKNr;*NAU^x86q@%!b zQMSfnzjWbydjXlj$DW>_pDzdJxSq19iWk&u!Kd|u{|zM(ZXx*Fcmisxv%;ZIE`WTa zG*`Ko!vc?fG(95<-cIhS!xL5*I{z)Gu9a_O4^(43Q!EOOuH{V)Ywo_(Sj8`<-$o0{ z1J1x=js0oZxC82g*)T*o6fBp-r+u^etPTz*B=eum3v_c+UoR?gJ)m7QQQ(MNWmgu^ z+QYLA^ma%L?HY*UN>R)e4lA^D7Doks{uM4qSfQma8>E}?G_`ABgqBY3Y!t-3NA0@O@>?vrfB9*S)U4yn<(s?W_p&2 zmKyj{FBFTmKqoY-Z-kAN<0rZ`5FRmWHKeo zH^eC2Lr8DGVUgSRckR|l13 zZNG>Y6g+rjJ>ctZeX8L|(q_L${TI)^VJ?4RPXgdbs3zP#58=qdI6ymuLYXQU4_IzZ zmbm-E(GwmK)AZ5pJaOowFW-TY(w2T?vcvBJ7DNYHM}DKU1oWe(d@_2#QCW*BaNS_&f*{?au8Cezz& z9!hThOal07iecCU%DnGDa+Q{y-Bm(_E zm2~*?2bh@J&sJbG$-=<@j~j}o_QP>3{;Cah+*6fO$9PBD=1Q3_|A^H%-E3UAP)?~1 zIzqkzR{-VRAR|J6ytWL<{nD%R|5|+MEz&g|vIvDwhb$7xQ2w3V^Dz5694Eg4E+PHk zWWn})-9=Bhvk$qaWlvXtE)Tf#Qiy5eo)?{^Tgq|7!+Jz}B3GWVNHU{VaFmQvr!*R1?Nn$qm}*~ zDDXQ+<=qHrW@`G(@L0vlYaKGXE1ra%9Z#3g^$~Z^mtcrgG{Os`=yT>9VYd9aEDs7g zNJYa>=$lZ+2~~CK6_1Q*T8>aQORq>V1S#WHK*n&E$HDXPMf#eM@(2YlYa&PIIZbM1 zEDv!!`v1t2rK%$ch>(4UpM)Mo7cecz{epfpC(o!X7HR2dWO(9dAdPat@v?cI#fJTO z(biS_f1bvEOK~s{b2FNs-9k8Cq|{76?F4VwxT^Y#30j9z)ZB2%19KvT~hVQmpjJ4;gJ*OUxxy3 zB*)6UVmQgHq5e$7e4*BVfyxt$LpK4`u4;6Lm1znhDBMRJqXtEXU8C#6}<>S&g`EA!=-9SI@ zXp)`yC%(1|GDnoHeXT0|0@B!t{xXqmRx+vs@otW-qw$z4I_L+=Kyn5|1<($ju90?w zHwA)XJ~5`mvSXk4byCH|DXIKU?3>=un$wi_OZp&VI(v!>)j?bZ0i{XwTRbt z0f24Xu3+b7yqMmGDNfXcclSQ5feJtv5!r_A87qgLkIHS(+w~SjU+^f+#bNPl_Hw$s zl+yg7BiA+d>2#OcRpD`b_rXn5A54V$fFP?SJA0AhEj_8c4@cs&UH zM{ksuZo(vzf>0cJ+jKqQNt3m349thHapoy;OR7r;JO&U~GvzbNSE^r@w_b1qpIL)Y z@T`baRXC64(E~pT`hs&UA&Q1jsGF?9+$6Ns+3xnz#;OtRCHLe>f~XjW4B`{r>);K! zSe%SJR|X53JHxOU57K}-oC1I!X`(o*?cI-?f8<42e|o}^j8y0FST(kClqmZn*|$8* zyrX`jHh&P%GODl54-OyO+4RDRhUHq!H-lSytH5K|$e`efA*r5ia%q`zZZYL9naAez zA#u(Oe6u|`V{r@Ue+9U%ey#EpZhFE|DnHRL-4z?L9FKzg7`k3LCb2>U90fC3F)xhN zO1S#}F!E5~IzC>!3V?{Xa6dgTJee-ruswXz0F+VS-q9ZqW+--*mPj8xZmejOfh;6R z@hJSrVN%PFuwW>7sR1;l=SlFK!Tt;L<5&7er+DQjsK_mKUl9z672G{Ym)FhCBOFIz zFWhrb)GDZibv7-2+E7Y2Z}guv8zs}TZw?hK%>mgB{8rpILj}i2oJ$LuS&4sa!~+j* zT@N_U<)AnR#cLP0;Sn!M?ZXAwBzN!tNsK{FV$J)xDt!vPnMq0<`dH~SbMTg9vg<6q`>0M z0(WWB8^vWip3~4GmvAH)Dw5o~S!4B$Gr1Dr`yH^38x2odSq7711=S7X&Gj{BXhFdcSVcsXfS(suN=|ClR|N8LZ@1P z7;q@?bdcPM0I}Bt8eE7yI_de*p<7c`4a4=eGX09-5Ljjpl{8Ocb*5hG9x+4Gm3BG`0LeaT95}3(CbbqUH?h`V3(FSb0;+M!$C!k)-^A$sZX8{|Uq2s1M zo%#SKQ`ps39qs|rc=rVqnexk2()-1=Sx*2o*2=@-L_zmu&`G~++o!O=#s5hNUnMISx!Mz)$K<(1lR zHMawi^{@8px*q6mljqI{BHH{p52L`3Yq}@^MpA*kYD0fW2oUHS#BMneMU zdL{XM%q#UaDA`YhFz-Fut$8yA{+Yw7^8-Uez4d{IoU45ZoNxw)Xg+a2)}>K3OxJCy zhV>F8>zmsS!6yYHqn*%ictu>#>O543xyN!owa_MGy@hs(0!Q>6P49G1T~PJJaD$MR zz;rN%PkRPhd)=L?O14Aa>y@KAwjOxKJQ|IF-zUvA|0ho9M5>3%SVRB;=$n9NqzOF)=&V9uuk zm!c={LKXzS$kEBuelX{Y%y%=O3bVXPF9*L8ZMwDUOBo5L#TN!?4GbsTqU5bfOOJb4 zG-ZM9=coio1kLmMr{=UT?r+4%OIb}Jc6%a|uJ1K5*umQh@WD=ee|k6%o6~e|NT0Ah zbaL=m-`x}M4jwd{*Y?j9@|(%MlvfD!lOoLCKVG962-BXP53BPtPGN6rPSKeP_ zF#89{uTjLkg%eA00WtClE#L`>82L&qkuC^`XxD{+T?IrI6*}M46H9&Tdcu=dQAR<0 zy3C@Q90ce{A5D6>K*4q&S6xkx9wLIq!~O*QQdkVqnoT;ol=HHA(95k@KGXms}LjZxe4`x2kwbe!WJwa zT0PNzm?zZ>s^&sZG#x3Ntn;&GkbS_^tEe)zs+$yk85CE<=^iD})vxX;Iq6tZ%=EkB z_2GC>@5kd9w%{d}uaC&6-86Rhlu?SwssdjCT&U+Mon#C+!;fpSn=^gFb@4yXErT9d z}m-ag-Jv$0a zr^1Qk&NvSlj`r;WOQ~@2I51~Ca76avxbBm#Nd;!l8HAw{{u3^>H zxN*gmw`-1`pKb)!{|<=riS~f%HQ9iwXrcbG1)l$n7ZOtsAiDY38WhCX&?vD z%>oDIR;OPgnx+?yyQEKkvq=p{w^wNHrH&Y^(B&ky$PIRz(*o1^2>Qxe-0i4ylNDx2 zP;Oq(T?(~M=2xEXYcv(O1K=ziR!Cx8@otD)X#1H*s!AJ}_TK7j9wXL2xfeJ+a=NE-cu(Y4xdsLpNOy0E1av2hU_3%eJAC z6oB@qGYjKH!F0Ph6=}ERNYSZg{9;47z7asYZaIg4II1l@F2O;{k-h$z%IBe(h zO=Czx?Z4ch9MK~)*5npJMh6eGCH=sL^hqf1ls{J!d*)m6dgMG+lC^4l?ulypjB0Vq z_jcJzdAL%Xh2*hd7rX&oO9nzZ$Q@sy`D^H!KkbU1K6 z%swKWik|pob7Qk@1<#+yY=xu!P(-8AwYb&1s=%=WxKqbFE-2xc1%>xbN^<5U&#g?- zb8Mw#x4SgDbrOzUOL(YgCt>JRI)7_)^EFu*pOV(f- zRVo6>Ie?nO>1d!+bW5_C`Kpthu$7aER=)o%9z)}y?r9xOKj5jetm7q}8k)o9qgfv< zj409W#zR|QHRp7x_Em7?^uQp%Iv(6^(-dxst-qD&hV?>O`}wCE_zdWGmFA{JoVhS4 zG#z_;#12n&n1*B|=g>XNd((zF%8kP)lB%pJpLZ0hK*h>%Q$iJ}<5>?>2dfdcL5>B9 zY+gry;>%%yC#$E2YF$tK<_=kR@YV=N)$+((Z5Sj}kgl2j~v0?~rF zrVu#oF6w&1Wo6Dd@+ByujjIYON(Itwt~3m`zm-xkgD9y2!2V2EEt0D}V3J84f2OZ8ku_yYUjbdPa4^(f!NyU#$)#dE#sf#(lI z{*2IsAIK?a_xK=lJ#L3@JOB`wApKEM1#Spqi`>A$=;?aqPa(yE%RFz+N zu&d-B2P|y7+`cGS0{os+PwW@3!bWd*D`ZS(g(59Dr&o(g_`(7_mU37lsgfmDTGh~f zo;H;|KZFvj1a(3|3D|_7-Nl3)=6F7CUf>(z396(r6%h6l*QvsS7k^Rogr{h?>1l{B z;92r(x7nT1oB?lpm0-2h(@NJhwZkkfY)8??rBecE-2j;!!stpqW>@wBf9DIuOie z6%SI)xP2?n#lRqOP_QL!@^EY~|K8EiAP>Jad> zJG5%RF;chd2^Yz@s47xbuHSyV1>0@e?AP#kk}lehPF3I`4)lC!!2XjJX|P+v^#WTJ z_|1)Mr5O}p|1q})C_rgUG}g})UG&je-gTO-o-b~JADNycWw3_3f*3zVD_pbm7E;3K zjVXXN228i=2{Au^F{-7(VvDo>M)#bEH zOHl(jU~pb;=98}TmgD`{w&ADUg8lg$tN}~^hdzXYD$tRo!6G1k75GGh&${qJ^uN2Z z5jCULJzXctk+6sjfgZA8`w80ghT~Zn-rX%YT2|fZ@)#(G=6JZcHsEossJI631m)M= zRK;^@AWTWaDQq=V+A@;xBS^&Y zrB|Ms%)jz*C@R}s9JrNhroGSH&{Edec=SG_a+-w;Q1IhqSQ-v{fkRbY>OXpZ zzBX|v9DJFQW<&IVr>*B3P0$Op!L{~KTI*r2egg1h6PnxA#ify#Lr@udV7dPTxd7q~ zbkS2mcPWX!i>*D8`E(U{fU=t9`Gm#Hnkx?tI~lac@Q{fkbYKQ>n1HO#AK_W!ze#ve*@B^e7p3aRI1l8 zUx)(f{V(yNT;=;BBvyou91Fk8r9=&&$B8lIe<%#0ypNPAm>Lw8et)nWWvBf||xQ9%7m1 z0}lG;dY}t|sfK%Og=b4@>Um>ik`Fa>#gZ3U!R5*G7XjLa=UZFcvcO0=G99wbPm?^j zsK#^XE~;@l)Q0}|;GL#n=+tEXnsj(odIjTqwry51ijoO@8vK!v@)|VHWOn|)L+R?1 z!?P6}(d!{+QA`HRN>jWd`#IdvkULzqwI>&7w$bZuxN!f|I^s>9cjC(>p^(C>{RLfOFS# zv>mpPZotjL7`VULZO1XtJ!p8;4}(UUp{goMP_2I2Z}K{5yLIYzRp~IGnxE}1H}pQl zAxszC#hcN1su0!qT-GJNj^kksU9?syo!;B{DR9Y?#(DTvJahru>d+@DsAA!TS9*Ef0ywi#4pS|bDuCObEwApJMqj{&Fc4b7IYG11UjXjt`pR-cjy|%Z zI%GOZjAUYij%9d&=$Fcq+7bZ8juBh%Qom4W22$*4;e-WLtTrq!6o@>LeS_lU>@Hmp zXsaO>MK~2~MSrLR`rqBpwTh-^%%x8M3Ucmw!TEe}Fp?YQkRZ=^+DlJ&o+kM)Er}l0 z=6GU*K5#se*hugo#cEJYL+pwh`bj^q9Wo_EuE_MQk)3X&9-52kiJ7ISm_Mw4Ekj_z z>|pr3C7$i9YAG+j^)wC5dOG+|1>Q2rGjloG8+-B`xwL{1O~v`7ygBVYAEkH1%k;G4 z_NQeZbn}3lr@Nky%{-3Stz8Z2QmKQz2KSihrqyJJsQM1&M=~?O(Tl|oKWty?`tHVc?X(xE~HRl^U_^ZhBv_hoi z-MMVV_4;#$IC@|?>;vhS@yYgdw`?%H^q9!ptH&p7R#?5l^|6JXMS-rG9dH+J$K@B0 zrA6*QHf}(x*fOHA3SQqo0ois#uaKF91*7N`p*5#Ng}Pbg$7VkrD#x)tZ0@0NI9fC> z!rc_23O8Z9J=Tx2ZTitKwQ9P;n-xw83Ow~Yw4Vw`RDJFq(ES0XD5}C6=+JGF$rm;W zs!TyN@eNbT2jrn{34AGKYdJh0)y9E&!T$6o?@%;$8mUOi1)6FrxNa%K-WL5SkYBwx zFMz)DgQv@$u{s;+sXlph!S~DcgQ8ujF-dw4I(Lz&=V;xoe4#x5l0v%E(~`WTHzhx~ zU-(qu`dj*ob|P_*o3jc>bRsNoZ$g3j6olQI-|GAu)u*DVU^?J4ce3Rg)f)RI(sp5gjlRLMU8nShPzNg;&NhKZk=U_(YxIV|DwZl_Sm?c$DY#-WB z1umfc9%?f^=Q-$5^<7uEcKiz}mtLCS#myk^#^^1SwH}8SMHPG~t z(VkNb>wK_*;Y*uy%N6I&d5Zdp_xx zXH1`dC2krDSJ1N)%TwQd+8WDEi+Z{~pFe(ad2|=SzB}ABrAp$41}ufrW9k9FQBl3o z;k79*ca7vGwu3Gn9Uhp9+|ft3JZ9)&*?~!Mg7u_#$FA<$D)6)739>mZ&T2JG&qb3r zm0R$DKQ*$Kw@$@*>lM%SKw-Ie&xKA1^WGIdR)z3*=gQsGO;qd1w4pT0<~!1-$M+G! zsZaM?x0`2wwLrd-~LOxtIFEzk>_ zrs|~%j~uTz_c{Xo8O6i(iMx{{NU?&EaSQu&4JN`=fyaIyZp`VRnDj*M z1`9xhgRR+E%b_NQf90iLr9e0z)&zZ2uz3ZlvqiggjGkeAy5av!eq_6PV{16KZ%?nG zd&Xq8dpkBdm8u;#C!Wts6+DPWO|h$aB&1GU`d!VpO9_hDWq< z7>?^hX)@|SD(Jzn;8;Jl5LAr)|MOw#4~Y^$KUU)3h93*#b#ST8LCEtwst1oE@u7wh+e$64cplWD55 zx^p3cnQlRoUQkPDxfXtqORef*lVpSl-{?OJkzokg-$r4*ac^w_L3d?6fbtBhgGpmDt>COr;Xc_3)uiD%fjG`~1c~6jHfb=YnR`NdF z#TA4|c>uw@a?2uVmwP{Xf%2><>!rtsC+hP8$qz$A+uVvnj&z=_g7PFVo{NHN+3D_D zL)uHah5G)o38KIy3IgnO%LuKbS0C|i^I`=UX!)*i)x(QYIwUS+cv1S<$e|q$CCOvv z=T=EQVuxF$G)O$k;8*F`qimKLEM^d%3>KQaPxNw35q%^kwgUar$Z@ph_c$MGn4TkY z>j8(iRU4Fl@QvM^X+GymwaHGEQ(9?9e*DRfJ#{hGv>f05C8fg9LmTpQYdEzgU)A^4u$IpvLDm zwbMoK2qik;E9i1DKiOUPNso_P;0fItKib{@m`cZ6z-uOSDT4(H)h4q<1df~s7yloQ zBur2ITTna$A`MpKdnj=H#Iu<#(fx%5ksco1TlBzUIzuMa8UW#!twHsBJm+2V@s5q{V_Ce92LPySLHfaUfz?USE@AjZ1|h zDhG$k1ui;jkB<=`^*>q>KfkfU1@ZH1(8%oKQJtKOmov7r-}{#@h&{zEL}ofR8+ipO zFibXkKl78S*zTU8R{cz3T9xNT3#gf=KD{NIb*O5%?IbDS=ymuBS28o6_tFnIU1NJ3 z1;GxXQN9Pd%O(`~6H`NDm#a};1}NV62ZD~HW^`C`v7ptr0$MP&{eU$d{HX@8#XTTa z1q3m!a$_ImLG7{M2vjz0d6m22uux_B%&86su(d?+C~!aKud7mrZltU2D9XwremF{% zCp%-nhXp5};Mh74ovb?(w;-aE6&}cMR2P`H#;?(#e`qK?Sor%$4>$H}bf?P^_BK+8 zOGjh+lu^qMbYin$#B1b$8hM8$04=g^5nC@jCa)SFxFUxMK+JLvnWSGEmkL%om*7|- z$1-*Tz{}xKAIJ}0e+TqdSP*;QRr- zH7B9#eP>Hsed|W-@_0cT20kt6n2kWd2G^h_c)4x=@T1F} zHmjD)`9Q1V@Pd%+q8cO*`%2%QfMgfe`Jnr{mhSN^CtA855wi5W=X@e#tUn)zrRTRI ztD5%GIZ;9z=Ju-qk;MWB7ifCGzUWL5PP{@C_5T<1o^G-vc=7HZ%Yrst9L}n@jBKGk zXwTU|IzSDm&-cgp{K^8iVs3I>=+8$ud!Zbs1<@J=Rk+_vRe*GB3UXl$mxs;3>AUb< ze)RSB-}!9(X~!oa6ptxJ=9+02dDK zl*3~FC77s!scZQ1CzgHU_1tk{wnlH2e{o<|eM&d|-~4Jx_SzrPk(SN&I~xZd0^E#! z+zLvf&4ewjdqTKh}P5?WUom7k3att>EK6GO#9J0eZKe9bvjD@$YtIP zKbn`9N6Qa@L8F)a(zNf9$JOHE;z;Ud`lDxBMu?kDeY*@SeV(8LKeAX(_aEKUGJ-^t z9^X{W{0j0aU0kL=8f-i^Us{hJ-7WI-N9Vy@%<=J~9RQDPWbYSC#Z!K77l?=GL!a%> zS<`;#QA_lT(KNOI2YERI4ALHU$g}DwZq(fohN(%VmnkgJp-Yd?0WGPdA5~H0nMEi3 zVcG6lyndeYU>Ye@pYjqp@T58ly{XcYkK;}*v$4`D4c99ApK(vfEWj%3i3xNDQq#>6 z>HTa@Y_^hUya&1z%9~R9F#y{T^DxeX&5$q(hb6`EvysE$=`<3a$8u0Xb=*g=sR?UhY=?za&NwZ+*D+k!rhvi0Bzs^r1uWBOPLvf-*F2 zb;rL4m*1~o+0Erg6FdLW=V|0Hrt@QHnf{)i&|iNvlUDrb5%b7Q_N0 zfAQ%)G8t926BvLsev80ik93_PZN~FsKGAjN@&-C@>q2k8mXGwRcOQuC`z~8YeTjpa1Tui`S z$8W>T(qeVyM;&NS_DxW$X_@EZz@9u*XGd9mJ|sxH_)I_wtQG&>@f@G^ON%S1*vgDDoEb7ei#EdY&MKZW2g zM1~4I^YY^9Sx9g9*5}rr4*fw#_9*~3*J)0K#Dq)yv=_ouAj-r*>0ZH>0cw#t<^uNq zg;6YsvvB7U3W#05=Bh~mLmG}Samcz6j6~+R#k7@!WK5%Y$*3`yz)p)y5YTDyyjWCf zJ#wex0Jv#!H!da<{gH_kKvNT?48urEv@kYb!O7K~l|IfJrIXt%g)J78{C|?aHhpRy z>3HD0;KDIYAcA%Snnd&-VhIT}r8qy(I~IKU<(#rQx+kr}6#q{pC3M_BXV6 zx-8j(J`QqCi`SIb(kDMU%atP-3#;xd2YJC>MVOBAw0xxRQMZ2Ubpak}2eL6M`J=m9 z!(gV9`e%!0&Z;vqh-DEcq4(AONs0ZtOgf0qpSZ)98zexfG)E(2v*@&6j{a0|!(iDW$97mn+2 z8C^JzQ|J1_Cu^jW{JC0hf1aOF@LHArYVLxZGD zGX(x2CllS5OgdOE$uRQ(AVrhFFZB3wpbA@9-Q#d=M>+=9GW!FvG0D4b^6&bfqxiox zQ)lq+Zp;mf%IY4Tyv`)^HC7Th7XsC1m_<`8hgE^7@Nn_9v`o~z4U!y)-{0vBT$5Sv zf8>cm7jil&A0TThE$#Q2FU1QNu((8DLh@=?gN18Ijjc&~q&2nS9^D?)4PQ6;IX17= zzXgdoLdxs$dwu>(kN4brk3=_d8F{5V(qr}JH^-Ra7TFGw#=(I_A+lyz2!ad>*=h(j%tmJ)$9Mnuxho@t%f~{n9-(;5Ibm5g zp!h!wQ(<%vUqX4G%`;!o(0urchN(S{=SDZZb>z4A`@g5=!x1z}bCCVC7$(~XJ7a90 zobrCO;@n@s{_+F6{!3&}``VB&V}Brn#rDAKzphvSQ{S(~{eAKH*xy$(xr5BLEnm!t zbZp%vdnRYh)v}>Jj@q_ufS0j4z#E3;vOhEZomjA=;%EcUvcv`|Q{RtHhwc87%Hone zZl?VyROit{-i+o0vf(!x2ZxTxk7UH8L+@X@M(KKgS*5W*0(3u8-aU`rUmAMMd>ooR zQ(N{8Y`ilqRhPa-e&y#7`r?G#?(w?4QX>w-D zsk95us94=fSNCmDs&O`Oh>Y02UGfV%sf;c?BbVAjQvH!9Ee;3r+?wnYwUQh9(nPj2 zcPDD6Hm)XdnHy$n;OHB7mGnREv^^H|v=6GKqnoi{M&V~e0UO^p7u^yIswKDl(Jeyf z?3#QhHvCfKK89avwApR=rN+s`WhrhAuv{YCOp+rtPm#($dMBP$6%@n(-%Ca<|E@~K z_@i4CtTuoVc5EB7rarRAOX;rZ3cKMbI%3mCOD`*x@uOWEMqG&v7thEN;LsUsH%O{D zPV>(^nzKXvAViteo8?9cvw&|$a{c|^lh%0GmB-%FE5s(OleRrFHc|i5*`@vG1AC=y z2Izwohr~ew#8wPHHMZxZOT>1kNT=KP=MaI5V{9-K)p3a4Rn@HP+it3nFF_OCB6$c2 z`wD8jId5p5V}GG}9816TTW6CV`SG4qIJ@)T_G;&C}9owdGkw@D_^-~hq4Uo(< zZw5dV`wm3Q_`W;CGIQ;2JMDX5QTFus{6pvCyLrM?GW3=iIzT7m=>dqz)Y_AmIRGWY zq60c)jT6)J9bp5>BA%AL$g^d0TLJ1ZasqhTwn+BGA}w9iiS?JL2ZxTev>y=p29!e_ z97A%5?QbJ>zqgsI%X`ecWn*u;!{C`m({@;g-~Tnug`qm^NXN_eC3ot4PaGRww(;=l z7T*_Z8%dS6;bYs=|05bdH(YK@s&Em6>Q|5(Fct8!GLNgScCEQK11L#%%F+&KpM{m7ZyzE)lc@XY^W`_@S-LqPA04%+6)8>=&; zW&ED9|NiKn=VH$!2KK$u(C>(2ha||3;lD}$nTfo~;qn_rU?4%HWqQV+*H=0V;Sd}} zNH_#X(Zd{qBbgLj8;QNr-#wo^me(tiGpc+qz0!4NxR!+BOB+eOO8UP=PnV7Or5>fU zA$08@oeW$XFs-q^nv_5r7_B{$(UD^t-fCP5*p!<*qLEH>W7w+c@yw9`t-2z)a%1|J zB(c%+*#+R#G<7}s(CpDyYE9o+Y#J}%b8xUnI=6vn8b@wqehJ6$)Ef99#N%KP7VAgW z{QS%-XXbS~=KMqNvwgB;#aR7I^&m#nBB;Zoi`kwg=f{GU`-|-x8`v^4n+{298sROchu^;~x?*kf zdWhngxjn?{N8bK(wA}rXyN77~`1c>l*HAlSYX#2qqm!yPlE~laiUN9+Ccj*?}9& zNdHIXdrC<$A_qVLL9je?e zo#Vh2^A$|*L&F%KxPtDE-D8rLA4v_;k4_4t1FM6fnf(e@+@=S1hY)RY%%`Ws4m)zY zSu0Pm>;Ul#qoe^DHP@dss0UVxo#>fR`VY($ab?2{G2{QU<_?-iReIs%As1j&v1`bI zT_LTe6)yq@j@EIb!HQ6J91i-Y{m7)dKCler{+wj(J7ydR6JF(!_M>Zhz6y)#N5io; zJ&<%W$1oy7i)ub#57N8s*Z`QlVtsIyjn5~+?vgzU8wVcP@$ErWSt8pvSQ@K`uS8qgwBn_B@a~ z-AWIX=V>yN8~>?U8FDP2S*(3WKd58L%VzrAN!OqwoZ%mtXyv;Tc zUr4vEV?OL9(lhx@oR%Fb41%8Ps7@{xV9`{@#R z;I@|@?`g7o(idHN=f3siS$>e4tghIeQ4=F;qvg(Ld-{R#BwEgHLGmy=$jlNMr===e zvBvplx@XJFarU(QXYxlsZRYWOneoiE_`tpr#{>5B^mtDaDe{fQd)6&TuFePMnbbY^ zqGGO$)0DpP_kT^S8_C6@V1eXfJAM!L`7b@NqEY&oK_|VCc_e?(STc+z~I zkyv;8qX9ZF@ub~(A_TzcUvgMD$RIW%35kBkf-D*IlAkXv$w{#IBr+*@PR~LwP*qN> zt-3RZ#gZOCkk9mgNw3$I&Z%xGUsD0D>9O~S`b!V&bbSKkeUzf<iQ+`ZIpt@F7#dOj0OJ zNO7dF*H#no1&E@cz2`LT$z#&(p^92i5qLS!zJMA+sRrt!BSRFJ@k@sF^sT@@1 zgnSI3CH7~hlhLd=U;00b1~B8K3EU@d7J(=fe(fZrk7L*^adDmg=j}hEab{x8hUD@i z$AjNDL&<^JX2rj=)MaLv66t)UgV`h=41miZ*pRv6A2XZ8oj#OCYL1RU8#DVoBzCTN1jbo-8@t7kmhPl${%oJ#KkkPHA z*^#V%7Wp*n9&s;ErICDePiiuA%HNSbX>S=Oeynap zb2S{d2_RW4c=1^NuqbfD?od+&DTm?9twfkwK>j+IMJ4^E#cYOz)ZV*#R&3B-c`h7o zj*+Ry!Y{-3*UQ_<4ggp^yuM1-Zmp8+lxO|9FRki~*<$k!b^WnIaLUL!*X4~p)sVDr z%TsSl23%bOMCY|*+WjaHg2=;+EA!}xB58^;l``~07+c!@-8rI9%&G}kc_qkU6LnqdWxQ^7C zmHj>sLSW-b2LnWn+to6V#iM)eXg9y)N|y%2X6*F-pZ*+AE>=iJ@0EqmI~rY`O<=viXIcte|IqF=+3=EFOt=z;-jN9RQxix0R0aM`Lxz z&zE$v0n#iA(f8!o^msGR%S(SrTd+;YPcJ0i3UAh2A21VBK|VX->luaC-O|yybJ)az zgI_x5wdVtc+;;&C28an;EGHe*CT<@z}JZ1g0i%(;F5 z6vMqvW^x4B&76yu%*vya{8y$wIhw1a=C7LO61tMun|lnLRM||&B-n16O93-J z`oX-KDf1w}Dt>N{WD~)r3x!(y?V8x$x0#>*Kn{?JBnZ)ZF^J&{v#`^JlQH zP!P8{!o7O>KZ~^I1dqXn(69N6xCb3YGSFcqfgE8hL5I8DC85GykuITepu=SdWEe`2 zQ6~c$8sZuXYFL&aYcwvQpoN=hLtg|D3&lgTzR+k5t8@Dt4#2<(8u~&o4giH*^2lS_ zsNxoEOV`joLjw)C@a#@VFq+m-8T!G;|Ag^ z0*7bB>ifx`8xqV7WD0Z(3KGyONT#57@Lgy^byMy^kUO4TD2TyZmtH+C6Eoa=aX0`l z9sBFa)ht96bTpNK?zufL=jX!YWjj5ukrJB<@!#xQO+C6 z>Gq>zyc1{`b5p@cn|wsLaF8o);!$>5g(IN@HN@=iu&YN+ha(IEaiq*35I*~H0vi9|4vvBmuhuA7Ng5pOq|wtB{>CAhe7aE3Q~Mpy!#wgpkKEpoSQ4Ti z;$bx&Kz6O9zqm@F&tLKN+0w3oLVu^~X5_cf=*O-t_xmhdcPn%Ak>aI5=dR*vS5m>w z|DSX{0ZM*68pkei&p@3&;@5Wz%5%_JPJlLl#=h@7Z^zBNg(G?5tr~QV9xEtlNlqF_ z*qL6)>wJDn&~4C!pz{Y1_7KI;`L(n!<~I`ewy=j1=@my4wt_hI@bxQHmsZkW+~sC0 zh>zEi_R*|=CJ(5UsW~lT6kNKmxa*N4H?F)nq`zNfkzPSN+2BGf49&&Snmrv4Kue5L z;#|5NnmQeHkH^Ja`KU8>{+9}R@Yex-^1hvZOZj*mMPxu)4+srN^La*^k7OJIebQ!O za$VrTb&_A=x)vG`KezJT-r(@k-z%-AmE|bml*?Mku) zyDaFMM(+xO`S1QOkt6s6fnI5?u71+gjXzx*Eio>`4om;%m9zvb`sn$^rN0bfE!H1^peeTA1>5Y|E0fMk`7jinFT%5^}>)qV`uW2kbps(kJ#jsS589h z0iDH4m|3E#18HUA83eP-h-5l3a~c`YJBhfvD7JA>NQKp8_W1uy)s>aj?XC)XsfT1l z7y_Leb8lxSe!QlEfkkDczelw1qG0Ed)$y;K&Y+RoGB&@p$Z?MMw(~qjc8Yjlo_w8w z+C47ZGxNp%q&QR10NEL_U<9W>&@*jwQ@r;`XK@I6_4L80SO-36!+h){}S+wCu4hDHI*_ z_(Ny?*ohG}tw5_@B3Ytg5(PEtzsi>^nV_SO59k;+0y+g9ods3B`FCE;)a*o8o?lX;DkCwPgkCM7RYU<1AX`T_s zo<@G0wCrMBI>_k$0($0-&b(-&m*OR}&a)thE&%hPAPO`E(pDnV4Za|R?!=E@-m&B7 zb{>dbGuiW;@4RAmUhpT^m7>o<_ta4Y*oKx`#*jouDYF2^E>3WPCM2i`3vlg%$WV%a z_#TZ2x)SLcC5VFjBC)y1FA@|x#qx{9`f9r4mJ%~IfQ%uvpnJLn6hzoXD_TK_-AVMy zJ;tdR_it(Wi*O%~ABfq~Kt|EEAc8IpPfs(CfVeogJt7f+KIv)Zri4pEA^oMjY|(JB zE$M(R0NIN>1fY3wAh1JXV^(hJT8XP84akW-!#a#?yd=r3SelR6niIWrTR|*ZTo}Nq zi(^qe(KFD_KqezssecxN;k-pM2AY9B(dqmaw3f!Q#_TVb?1`HIs;$SrM~kcsk!3xI zF2xe|e)0SBi^~Mrcvq}%#`C)vcH4>{0P`EMxijI2q97*50}abSEI{tv729CSsrV6? zHEV1%JiKBnFPA%!-swtS3@7}HpRmZ_R4}4)u^=yQJWL7r7F)fOv8*8IEbgzGuNMVj zWhJ!<)}A!+h!YEE7UIOh1*RA}dF({9So0DKV6IJ7WPt{uVkcF(VwNTp>=>?o3n0`) zw%JlXO3*d#U07^O{=dibiqT~8i)AIY+Om$hv;?Zy3cbEzfvzOKydV)>R#G22A^r_BqSWBNO@P?#VSnJyf#F~%i4A|?~al~yn;j!|qMU*^X{$ybW`h!mJ0d#ny= z_G+Xd-Sk)xV?{vE0H_Q)`#b?zLGJUwu?L+ZYEcj!84ApfslO392W0e4zI01IHD$CO z866PTB3~UnkKRa^H3R|0Z;g>3UNILm3Qk%#FcC&xUD~X;XBIAHeP6%b} z%u0r-g3<%&N`|1Dma2y~JGO7(*rAA=wR1tEft)^%l}yN3bJ{`#f31Sxc3kS zRMY#J)gxhI`k-p?{A!Qhn68|0Ta-%iR4v+70(cK%U40sbxjpU=>_cOGsaaL48z zM}IUc?WOaT5Jurt|H&6=;KfB(oLkV7n!%#Pdivr_6AXh;WDf+(QamfjFW;2bm$)I! z$dTPF3(%dhAn9)xeSZXg4El@tNKnvXUQZPCEElbkJqHR*$BEoAA0GVZ^@(HC^I^Pt5>sHPj&1MJ*Ql(%|Gb?1!jWcInUKtY zR$#}Ddw2ceh5-1Bn*#xUsWW5#`9H6dvD01#K45%${`tDHQvK+bj-{32UO>-$#W%xu ztYCRg@op+QW}Jn#lH|+vZVn3tmftA-Z%^`CEF_^ILM^gd&x!JADwYv4Wn@=E7)!R^ z3U%nfsjMVhoXPE|nQbi6(ZpZ&A1=ICUWNM)o83E$SlgheV}(1bC-=@%i|DbEDoiU4 zfQ0d)zn`}x`v(u_PF@F-s^5^dwJ>)Lk;-WkNJcvVS z39Zue$=Y|a`!rIaXjOcZ^p_5x6H@_$%!>+`cs*73$36gvxkS#i2~IW+p3917`un7j zW~P?%pE(N2yi5+XWb?#=v?@>S$yjn~ZX8_9A}c;MS;Q~Bb9E;g?2APa#$|*s!YJA! zjxcU{#1W>W>a=u2KP|CGgc;`QSGu%Xm|<*w_c$2p^v`A9QU8Xp!x1MJafh+FJ?rdG zHdZ1IF&=CHLRsnm6!uX76p}{M!-$GG{ujh4#*KnF#aP|Qo-E~1^)n~ihv0sZw$e;4*Tvj1;_Czg z|NcW21-vm%`a6Z<6~sM8DdqfOxp2QoJ9{ext&=b8ELd7ZawMbkOtCC;kxU#BF_4K| zc^U3MOkkfp(8u$ta9&PHEjdYZe@?oso$S|MEWR<4`N&1MV;B_J(0Bw-JN2psK*ql# zOcm$|^$j|r&48Zq@>jp)BWV^oIy3=T2z0~`0Ugucf=&?z^-BnD%=__HuZi#S8=>M{3MS zH-u__@R3Z57Wu$oINkobVsk|2@=O*=H|?kmr3&Us9y@^ ztZ?USExxWKB>iwv!VN6GzDw@xZmIT|#jqiDTG}wjGj@NhJVi@`Zu#w=I|`_(xF*j0 z^ZLrOe0J0vRrrd;nJC{s3G9U=mS~Irm*i@73zBn3h4)AzQ|I9-vLcx~3r~<1zgChS ztO9#ET=bDc9rRyMvUnp8`$7{_A7)2jlwIK4dr3=`-T;3h%u#Q4hiGq1WDeU&|pa0np(%)?A^ zVima;W93Vz^W79Il~{rGKf^A8Rk{d7jo6ZgF0>O`!aiO-RJd{0nlt@cjW4#Y+=yk8 z9!eW+Y2h2(G#Ccq@5j7hAW!1aFi+M<<|D>O+;m3Dr(ZiwIV|_&y^lBb`iS6*jgw zwg`8ek?u*mQ4v8HXSzo;vP-5*ZAC<25JYNU`R^RiR}s*+6P=v|Dq{8`Ux$S&zF=T& zacLMDTYMl%$aPqVN{a=VQv)w8F4VEU^nOay33^6%!%BR!&|_F)R(v7F7FXb#1(CCk z1P}x|@1v12K7p<=tgyn8lK)Ts-xY?06UoexU^j^DcqWJM3O#>~kGBK|QD^d4s!+@a zalInGC@!@*{!}-T39(MgHW4dGu#=!yS`BmN)ncmh*n7AR#P<^zI_Mr%#TB~hG#on} z%yVac40y4)x}lkl$A?89?MNrDz?aCbR+cvm!zyl=?bi*4 zd{qmlDDnSfhDH+Sc;Z8&7p2T?hP3c~L`cLl7^qMyzEGowaNTsa0j3F?(~?pR-e&~Q zycZ9nht8JD$B|tivM*pl#dCF!WazcrQ*jEBSSaq0oq$uD<*Nx8<<0VpME@c8ZUbi2 zA>Cp~MBRCjLX#KUcali55&IIiG;A@%Md8_On!OSKPwEHw(lr@#8tHt1K-m_z0F-Sj z{lAhe1Q`p`@pl}}^yA@vYTlDve!@}(Sp&LbGZ^N0xMOevwn9y?Rn35kBRfCYncaY5 zqmX6_okXYDU_&>pslOvezyl65Er;`Lk9(7DX?0t?OROLFmayCq-%=BurEO?X()6u# zAQ(_o9KE%pJ;3np;(>6eh=pZ~lau+cDM@1IkI;y?x6Yrl5?YWvSV<3Jh-Z;qLlLsl z`)Mx$J}I6iKu7xX|B7p)A&R61W@7+Iq5TGd6b}Ce#0)Rz?0Xs|CWwl_g%7%)lt zTu+8sgZ2oU#jr49?QqCR!<&#b;1Nq4E>q)uF7M((5kR1<; zphqPGTx_Gp2L7!vaal9JYu;~>EfVyf2K18FAv6Q21pu#4&qpP^IX$MSrav(zXOsTY zXpY=noM>rsAmPO7N6)Q=%pcik8SBsYcM?+JXb!fA)Yoj#%sU6#g%Kxg_SC<*Q-f2~ z7M#{`M%>Cfx7A7}VtQjlGRGg7??U>&N0WqEu+y&Gf0i|p@qUc-0)1roc~Y3+|X?%rd1QljcFspL~)k` zG;EXnQs)yhyBpw7cQrx!4GZhb802HRb z6IMg383i8&c_?Z=+iO#Lz{;~2_=ahwTFJ*1)LQX$M6^+CUh99}AMt8zTCSeHpA@&y zOQpf=^0b(mtKRb8Ju38|C(3^#wmAMjl+2zi25Gh8rmGo^p;?-(MCY-`(SBlQp{L5`;y?)2U{LQ8TQm-!ARJH z;L&M9T75{8{6bCsiNqsdV+gFn}Cfc9496C@=D#+e{&A=&R7h1y7Y)EWX61@}W zKul76J=qx=;*HYq-mRXRlj2Pq@=}dN*Zg;j2G<7U$;egPNNcMZ)>fSCvGU}PlSgYx z9|2@ykogMI^2TpjQb6odNf zV%K(VJKVqGzDGi;G_*U3c|g5Pt=%!Xnk|CXewvwvfTtY?Bk75nrJIV?oqRcJCTWE4 zcY3gY!VYf8Kb4j-;-yL?lP0KHxKvPPHlSeE7N02U0ihIIx47_FWlX*SGN~Jy0bia- zCqxVc;w|1d7wgZ?0~!BOGAfeE3#4`Um5xX!rq;)w)@9hrhJ;gbq{g3-PeFzaCaL)CDTqu$L$_{8 zCgMcRo=#lLHWfQFlh27b7KGkGG96fb)jX~1Pv1O7Z1X;7xufFq*l2O6_Rh;M`K$AEPSSt4Hqb5OB@71HxHv6+Rcrw?(kpggW^K$!AS*cU zg+OoaXASn-G#@Kp+hEX5WM+E^v}<1~7}43LnZY;qXZ=yiDifY#R<@CkWrW^E-ed`{ zq8`!`UZoe(y>Oi8yublZu71tz!*R4uOUwiI;u_^I#NPE(!A#9f>9RoY#0ySx5^vMZ zJ&UIlBJFnkJ1gc8XcybDYo@@46A1IkQ|m!p|| z5-(lS`kg&%!Dj}KYKRpa>G=ei*$^yPR(fEi>nD5`B02uW%Q!q3T3VnZ=HF;YkQUkZ zOz|+dFDM>`I(pGe-hmx~AoHnO~YM@VZpl zOw4|+m0wSs7-51@!!>u!doRbMG&onJro&boyAJbRS}UjK-XLdC{9sDl0($;=J}I46 z0%B}%rbz$BD2%pp3`j#nU7YA;J3UrcqZ4L>pF~`Thluv++xyV^ZHI~ZDkDmh9I;!5tdahRu3IO z{QPKto=@1VZ6%PYW^;$s!azI0osGxH_WF;zitCQX=`Mx7n$vt(8SMpshxU zY^^Mw18udY?yT%IfqTDvTn6VGUUX3=0;p8Q2o^*f1t5h;c{&@Jrg#Mcc`IyR`p z>qM`aeby8*e#w&_ewh>5*MyqYEgU9(DXAPf{1)O|!fzpdDusV{rHgdX#tx^0IFSZ% z8k^RleAD4n5S!M&s4MGmDo9Q32`-|;t01llAgHeR{7Bv_mrfUf4mW~ey6kWxXt8;B zFGl`jeg*OSIqActW9Uq;8J)hvt)Rx{-FwGL&!=k}%t2EYvPn8&@pgC$M3Yai>AK%* zj(+F>TTR2U5)eU$qd=@4;m(O}$se-U3^36RX*Ev%j@jiwpIqVj((Ip>Uq9(q(`!QE zxny2SxMzgM!L1OXS?yT+NVtw2R-#mUcEN$|lSZVi)~=+H z=&;47*&)CVJ>*eUHPpPwMXZ)Be-)+@Iw3&;cHL;`n3}U&nPK zRToWeK*f}aWRlFnE~M$mXL@nWZ;Fl(B}@8$q{j7>M5K2^*$rcXtx*yk?>5~m*ReS* z%b8dVabY4oV{A?Ta_w0|eCg=*2Z}3eoI*OOGdc{{>FZJD4< zN_5NB&&<@2po@}0XY-H*DSnRH6r2J4Uh*mLW^0bs9l6Ht%IZ$UX6qJR8OgM4#z(oK zncA$6lytNM-!lrXFxRwAJSUSvJ={66$*GzOo|LcVQxEW!+FBs3M1ygo!upkFHK9{fU1?X!iPo2N{!VX6`9w?aJ7Fkx#L365 z?k_ooUpjfocf`#{sT;r@R(&_uf=frg?QS-=s4$1sZA3EpVRXdZ_t^N7lQ{OB5oP&+zKMDB0?~@dQ`;SHq*beFK#F_!xx?RXaqLFsmIh*x-cR2C-IBbf|C8?QWbR@)Uen(#Kb^IpfDEniOg;oy zfu5p~{*qAukQY5Y|7T_{yND+XFfU^BVAzlC+0s9CD&x-1dJKSyMs8(}0MRT95R53K z8&qf{cl!LXgTvj0yJ2F)$CJuu7+U8S=@j`m{^U&^fV>ErgJFqNPkf<7$cF*HfSUe} zu%`on7bQKOT&)J+G=q>ZzMPjrfePUKi)2y_4nxz7WRHjt<4eA*18GZJs{BN2(0~tu z9fDWpCtXrkd(D06Jr8A12$lor6+O{A&5Wa27%<{MUeh4H4WMVnwqc8X>Gfp496-BB zBWXtD*!%f#mNw}c?;Qi+7wPey+cWc6;?@z@)!b>`*T3L9Gb~eTT868niCZbAU?@}k zk4$-whT(8Ta_2R?P8z!Hcgl~`nl!8fV4G>0?s+}Z>nnA9?>sL190e@pKt~@H2;HU!9RolJO`RkZD-*)kr22?SLCg4T_*) z$RCkR9`yrmEb-|om#t=~B*VN`;@{~M9dJx`05*#Usf$Zz0aGGqPE zan{U814tYB|AfhM>5<^QhM{46k?!%Z8F22XvBK$5dWZeb2^EF`XU5^qyAqBZaWrQN z{2lP?h>e>&F9qZ=i62|hfH-op)&Zc48f(K%KQg?sG7o^)$BvC%Cth-p4s7%vFxdb! zMijvY(!r(*4)IVa3y+fB#Rsr2V&|d1OOtIrVR3B&t2TBR3cm3D`nfxz=|Bg-F~Y@V z01P9M$p>Y?CnN~WL(!tRVUvtlvI8C=HIgGn$q#^61pku(7mzp`wR+ANu3Q62P5-CE z%P~@abn@CAK%WRor%^NP{xGzNFVgS`j}K%I^Gm0!tiu2z;s;VP+`;r!-+$H+RcYip zBF#j$rvGcpXqjj{YD(NT;Pa6N3V`>qr&rqCiLTL>Git&^9ZZTF>zkRM8u~;0KF+!? zjzj{K8F12=iH?%{fX_y0slKGg88zKbhvmzS-AR6?qwbRi2T%?1<0qZN@W_blv!0Px z$w?xNxnzW}h0&6VY6!9GM@IjS0T_o+H@qq0W;1t+&{ViL#J^iU=HSk-VpF<6D(-xe z&hiZ06(VD{B&o4JMkw4hxI5{d*8zYFqNv(N(qat6jz#>I(XwTDSmM+#(#Zlc%%vgr z2<$n2a3x&F0hfkEChwC=r<8jGK?!j~wyns!&n(NsJRsuViJ!n7B36z7gq>)8~`^gl0T9O{dK^!9S3eE{rP|yc}242kIxiTHTs-+T5@8%0h3r17kl>Vx%5n} z+3D`ucgs)j6jw6L_oAi;{xoOj8=fgn(gP4lzVyV(qj}Q885xah;7S^|I4+GnlJn2w z(Z6rxIQ=15Hkc3X7)3!CJ4E!l3ET3Jx9j}^CLRd0edLfMl z44d&1i2%RY95@riw_7rXk7YT*;{(9pi52ve73I=1M!XFR*b6HIR>}1I=()cmS=Yz< zBQ&ji?|{uQ|Gm@ntdv0S(pgzLU{j3U*`M;Rndjr!#Z_vie?+oddSVXI=oyu}4Rv-L`Acs~m%u}&^SK%FCxw>#ws~N|mqxzajdatMZP=B5enT3#W48o& z&Md}=o1G4hFic-rEjz(f90*d-Ors}nHPs?@;O4R!!e9!$sRT9mbDMN^kQ<9Lnu5Ya zME)^aNh2Dot4n(0#?}*r4yU?N$NOTp27`mAx0}h*2nJ`{hebEc))}YTH~$_U+|9SA zAnc0eF|kl@UhvFF1s9hddfHXlS~gDZXxHp^2mcmFCbVHC2qo02_P0E{T@^T$*6`9+ zHx3F}GmTzTn3mhzmFBZ{+7$wk%G3!>wq-x}R5LNTC&q1zQAf#UOcaFMg>n?yFf1t% za8GSUFNXxTkF6pc*kT6uMQ?o{Bm-c#+YBqO{aKqxQ+1Bj$H%uP9kh;uu`o<+*xmsr z;S3*(4OvRf3+)%5KU(}2u)c_HU6q~%&JNO**;)k~kcT>31Da;YVgFNekH(PnaQMpC zSCb*3*hOv~kLt3W0ps{G?aQ+BDZE3cZ ziv>}q0`|6TyIn>3*?KZmc|LtuoAh|YAXt${lEF_zYlL;2>%}%9Y~wSyH}5iZ`=B?{ zR@xaX346VM8b@k>H^fcSmbAxg<2EncS({lLJP{>Kc;;0)b99$w&&H$gIs?7mgGBI$sN zIkS)5t*K<8jkJ%k#R9?<%&ZC9x?=e|HE!K#@A|@KWN6}V$yj6}S5y)0Q+#lWb>KUb z>y=GpsY)$y{dD?^&Q&3=!mwi{5HMLzN@Yu44_Y-=2A+fW27M#dUH{p78zepWx+sx@ym z9j!)Tf60~K=uMYzEE=nR`{w?*$oBrH_#3PIR6kF;wGO&5TI|4PETRzGw-N@_A_C|4 zFm5g4Pcp4NUf$QH(Ul5UCAG3BJqj?@-fnU>Eh4KY^GFKz5#Fn;X z5Ov2`a_bm0vy7c7R#o@KYuUCspnDZ9VtWlSb`)pEBHcYS+bS1Uhj?O#dUc4l|L2l` zV!^5w)5aBMN1=tZ_4!U#i&@jKv!}~Xi*H!-HXXSzGB$2o>2ggAUWc{a8au_)sQTZ78me;axbzi-cm5m`b@ilvX90|nD zhS?xwIBkF^v2dqj$K&HkDp6cEZ$7pR~6RSGZa*}h5Uv!LU|4je_ktXjm z{CnzcTba<)@dQ=n{nJWs-QFIbI?`-wu z4~xWQze7dlfWP<@qKX!eC?xplrub)N#&1R&Pja{a6B3Q?sEJlIURx}KV{4xUzssEps8AY@)@i(6fdHyrGpZ);RZ-s> zCrLr6{Qke6XcDYgK>pm`N0qAdypJ{>ALn(o%^$M_IGh~gY_-j&2kZR*=tS9tq_5m= zC&2nVzK^>W@M@g?X$SF=$wk){i)N7<9tIj3SR8)!eyte2Bqy{&S~rSj%K=Igp2T(~ z?du^daOtmyd}xz=9^zOF+64;~plE41Ks!LMcvKAQy?NK`Y(7T2 zS0Sf#mxn!VQWI|coS$LGGyKoHoEI=UxPpfp1a9Dxf^263WJ+7nW^*ILm!oG32L9tx zNSPD_cW-G-ZS-)-6>O%p7QS6HnIFJ6s#-Dnyet z;r=X!Yz%a7zn)V@f`c;$#*PA9Q^_??x{mc-kXdq{nev3Mm&pKigoZ_?d2b70km~OV~~xxH#*kXYvL-oOLs_zEzqu zlrPF0oF$^!b~guRjtv{zUT2F{2fTx4vLH!u#+D3xdO3}DQ9MIRP2&Y;e(&J2w#?${ zSPtZ@IvOemZZ?-c?51}nk?e6lXMMv@(N5ar37i#td~4D0j6U;t+l)*Oza&RkG^kjV=o&1P9R7P0yKdqw(&s56+x8kr)rA`pVPf9)8$Nm-a+_cIPoSXtr(^tG~XXE;f`< z=<@T6v^?VqJJ)>VPaz$V@61cu@gMB%)}D6ES_8Lfi7Pg?%`tM1HSVR@DAQh_o|vw7 z8=L8w=324N&MI-ffA)Dr3%#)>8YlMt68S?)GRNW~AQCRCsfd`mtu=QyQ{FeN>ZPX( z;8wX(Y)JiO&c3C|j9{JJ^(`Fh%@!=%>+W{tdgav99bX4I{eN|IcWeLlmG>QM?|BJr zIai0e{Y^!z`TOcpTCD!lq|j)G|91_q=`PLxSIT=%_HpIBWxW`Nd?$4}>)V=5J6103 zcR7d#<}OTAmuZ#;aPTCDL5E@P!=A9U80{*(F-UtRCtI0-&68%9wJ#~x56SI%)lT~O zmBRW8-(y##R-=ojq65nrz|^A{)Y-Vwbs^%?0)$@svCn~|gj0H4(mpmOKA5+0`%N{} z(5Jriq~>j`p`XQRZaZ7)g^&Rs4aoyqW)0=Xzt7Y67~NiPY+pgEEVYPn5la-PyP~xY z)>e*XxB8nObEdK%Mezz!{hG7#n6APfWw}nCol#b&!pye=ndG$a+4|%5S9=_QY2znt z3?zcHkuwXaxxTvaVShhhFzynlFL}fHDrvuVe|*2v5nD3mFw`+}NaKKj9jia{ocX7o zA0UtUr}C=DnMZcCC5CLzwmBmuovO(8YM;N?_DMtNwCcMv_<@W1 zfKs$k0y);bmvZCS)WHWeTn7g7nQ4z&b>p3N*19odzA(+w01Vk?YmFsV7p}VTG{B5e zVN3oD6|3$de0+LBsy3}N(|1YZ*XMAwJx=v>v4KOkoC6e2&GJ~&YDXP%83>1r%LrNXUrd6N8d01}8{^M@uwrPDa6TyHUlV??%{QpE_`)EpqS*hn7 z?U_URVNtePJC0GEp<<$3D_F)mXVZ+>wkuAF+-)2;nZq}j*qq3 zE})a>?<|1Ub)MgjZ!Sa+c780G4EE;h+pkXi`)D3*l^_>`)irHaf&H&@#P+u#@7q8Y z8<2@Un8U9{mY(X89im(Ar)$r_l>HK&4;70HlML#t=w21AZL%jYo+foucB;WmvDV+jn499$^AF2D^b1fPUAJo) zYX+3H>WlHRzJ_1y`2Lztdun5`_EX+kUxkT)|BWoqvBCPjAFr|6w)-MfK0UR;xLy19 z6MFM$I(ju~4n|ivvaeX=D&job0o&gdg3=IFxn+f}9v_+Z*~p$3b!KfH&#}g&c6cZX zG7959>eM2twkR!C57lDJ{%_CI#^%vaZFkh>pL`(y7Dgm?_#!{ zDexoH-OOq~t|>Oo0k<(ZNw6ybh~^HmB?rhR*`Pb0_sy)=k7Zwj2NGU~n_2yBeIPce zskYycNF|D4Kd&>pQ4dS35@dRKYo7Y}7|@xTF67(jpErP!)k9Nk9^j)!nRYhP-3=wi zJOI`tJDKr0IIVRahc*#_X2ObXSD3KRSH`5R%Z#kG^&!xi>|tq9Y%G_pSvaxHpAqoV zQ_@7Y;}%|R!6R_MtF4O5vp&}rR$EB$YwP#o0Dsy+utSm*Uhk%w@%$H%zm#>KD z`<$PUyG^k=ECUM1l2bKZy;8U`XMe(q^>$9xZ~l(vX57N(o~*L<`gsY0ta;0`kFhsP z68afd`FfT|uFK_mPi}E|C2Jp;4q_^p26`vbPvypS&%0oyEy$dhbwG2I?&D@Jt6ew2 zDxHKuP;n;g=~H!4GZnP?KvUadH&-M>aSS>>KIDtptt)3sc351K=eRb;wzMTfDZkgD zzL&LfkoF|w)4FEr`{7F80qs3Es4)y6OP#kQ;qgdb)@;rIE2UT&d$-Kz%Gr%xuAUo4 zp0t}*)fAFR17m9K2Ms?KVcT&3G|Gdtn{B1Vz%eii{_USuub%s)h0B|pwoZEX1o7q) zgY5bCBmr9hs}*+xw4OCu%qo4$2Jok}K8&vbeoDH8#p+~HHZ$ubpS`a0Z@=_V?l9*} zY4xqO%AF*ufw_hIUA-Ay{d#K`g9Qw^Ag91{y zM8$+Sc$JF{+jcRmD_-YK#RsS>i5{HF(Zr^=?H72RQw7N37(;nU`r_X_j_W;@ta%7& zmlBTjQ+IONjpK5Zof>OaO?Kh%Os1Z#)QFoCd;f`D$OYYvmt0ICKH$;mw|r7VB;`gjM7G1Wb``{5dipd2$}EE}gS-vh~;d-_#GR^sV0QW>f zo9z$7Ir)D3;XHq}Zu=c(4yZ(a#17z#&7+eHvYS5{;@l*N5osmjYuoQ0513 z(g~ms$-)g}aoyC!C{NQ+>oDp@zogb+CDSz0bPQy5b$O<_Y5%toQV>k&i0Q~+mWWHs zW7u?@6G$7{EX&^RZVx)J7tN1u5s>q@k?zOvO{Jw(-36S^NCFEmk?VdA*}* zEuW6*HinJF^7Xa4jl>$xl#g}g0pc~*zTC-c4WoB?mp^-cPstQ!vYb$;Qn0trL!Y|7 zcLGi5Q+bQ9u0dg{8x95nXbaRc8B3c`aCWgctGsA64^~!Ow|lHD#bXOB#A2FT?a#+> z!ke@Fv|7{f0pycmuP=+FZisrAReo8wvO@Z}cL;{fG8}xeadazi|9jKST)IoQYato4 zDlB4CFr4+ZeOcG)69a64nSzn)(Z_aYYq$RiEhQ^oe0=G`*$e;n zxCL&HHszCPcnlLMTs@3|e@hnGg?~3+1H(SXG!Uk+KddFxiOGbGt_1*Lsy zQ%ZuJ(*ED>J7Ol^X%4o!<=dzC!=Y__et75=XJOBO3j4ER+a8e7+0^|sBKo{Lzc-HK z`P{0>SvuvJjP3bTT@z7y$$O?{4x&?~ z$yxAdp7JEH#?B$Zj){YIqPrh6N1PU`e{C9dA- z#!uUOFb8z0)JVH!m2)tcYl%3;mt{3=P5bsdZf&r~A)lVGzE*j5Tx;6{<*pp&kF9!O%ucvf3`_B`nu4F&S-})%UFb7DGG% zK(+aO6Ci;1bZb*7(TW3alaw}>7cDF?f&vi1v#+QBj@pu^?vT2)h zKp#Q1l%2}(Q>S3p`Su)sH?_mc9MSbLd)|TiE&6qi7je`$G0Q_^I>%`}qpk7Kfm2`3 zvV2}jJagHb$o)Z1#DjS(*Jl`z_8h|h#NkD{yj?)LNzPo2w5uR&3l3q7Ky0U887#=qTjzQ6;iyQO&n5qV1IO4h3D))HH3Yx zzmwml28J4sgSOEcMW$A=4_IcT6Eu;{9P0Ovky|zgtKLLcDA{M&-oSRIz-Olj0(J%T z(2QI<4=rEI1eh}qon@VamW`?^14x)~tPWvz6Q0vW?gZ87^HM?B^F@j7W%HWwjaK}; z)emjJ)){FP7MBK=Dj4qLLee#y0}9f4EIAsb1skp7V1V1s9&?ViO=w5Ksh%?0-1FzD zZWEvUn>dL+)KChp=PxpR{x?i`7hjW zDEyir1T~{nZT59Q?P;M{+nbB>yaJv6M0Y!8PIuQ<9<$I&Dv;Z1@9qI<_QH7(Dlp%k zK4Uy7&AvX~A<221uG2rZkj!=4=4JEm<`*o^8+?n%{Y(V_bmr2fqGEwOFFJ>Ey4I%~ zi!kqN?~P47p3P1eAX`|pT@l2qU-e7xyi zY$xPqS%~j3SNZr_M+7=v`-D1y|w`--a z=+^fsgu|?ZMhgFAfFvueJewEXnJKDRUe5KE?m#Y|eXI<>U-9u7Z*<-wpvZkc}9wtnsE-skr1?M`fF#a^F_1oiOg z;iLZ41u4dfRp*l-~|2#sB^4YsSk}>Ilc{0)#|+vd4mN?{f=WrTL}3Syd3- zzeS68QNezUW5LnauVmKJ2S(Wz-=Bnrj0IAH8MQnYJOA`Wt`Y8jqbnpG++|v~y7+Zt zx4Le03(PIrTWj0^1`nQXdWV3XpE6oH@;Z!m?{#z)MK6aeGR=ZF>M-^BhK7qIEcGRJ}tqpj~i6F z&PAJ6`Qb__y#U=T*a4%oJ}Io#xnD3G+F}VqlnN3rqLi30JYAu63h5cH6EH3(jB?MHm0~ z+n+Ul6>%526kCDxoi>zk$vX0qz{tY~OWtBO6Ue*QwcobUe)He9B@D2VqI2Q%OP)PE ze9f~-;+08-aAlH|!3NnShI`^;!E>#*wE|xzHIVOnXl-YM`fy*}W#lg$zVP{_s4COV zEx0ljg^(HzQ@9K!ws@Ag_P_X7qdm09+V^~!ETnI(=jzYn1kOy7g9iVnTvY8+x0XAg zn}T^+l0Uh2aRPAdsy|P)WzI|=-59Kb>Eeu`7cF=%$?d=n6kzXF^G&o{34%=Dfd<-*3yM&AwNMn_~I6w5+^^7^I<8 zD%MtMB zvEXl~6W@aA7aZ=o}%P-!xsfllTG9x+?nia<3-2oZMSXl zP)71TIoxq%pCtSl>i`%;m6xi~9ynyy)dhDy*?{=(I~q8UQ(zFbS+>QF$x6q!=bL6e zzC3=`u*VkM10_e=L@q|Fz>aO7b0ngsznji%V^hFL+;X}gEm^1=o43q-TvNv7_g2rg z$yGp5telp^HMX6Jk4~B*ex*ayf^VXm1xZio$}Gle0fJE$AUpQpyXa?r)Q`JsQB<2hEZOh9iA;`!_S2A;Ng0Wd$#{+G6vw}9c|J>77K-1u4njo=%Y#f>UbO2-c_V>A3 z?_hQ}w9WPBoVTHF9y&q!e}71f{C~I>@fb-RFb1a??W@nEfen3hm42)meJCMU9;q8D z=pz}Q^iwU_`+(FJb_tm6HVlm}?JNs?x*BFu(p}*N{J?P#q-`y(<#{hy z2Oo-t*$4Ocu(R#d-ayTelf8AQ9yjmfSlot^Aw{P>{&<10o(-4``Jt1PVZ!t?8xGLg z>DKl(#W*%6uX)6p-P*V5%zyq_8y?ZUJmcg3x=u24g5O9zC@GTvRu8zT))tdT6h6!6 zyG)~Y>))SWk7l*6b-9TizOBn?TQ+RNty@cUWu7mDZP>hx7Ney0r<5QB9@r8|gm)pZz_bK)Z@v+7-p4@{7KX z1_uXDf$Wcw5Kw;l)eY6Y&alIEwFtIaDI9L-`e}MBeBObU*0BDrNq=+G$85_+sH?N} z4|qYcEZFDw=Xp3dn%jLhO|P~Me}p`$TJQE$6xqkt+1*E`SiZ2`Er#_YGZ(vW?Kv-8 z__N^z5cF}B-2FYxLM4|u?u)m%X$^jav&~&~UZ4v{`?xz(;ookY;AB~PLfw3;(Us}# zW!>1YFGzp=k#>LjIavX{1S;Le_Rnve%MC!fg6grq;WQv=cN*<@1SX(t=-##tscN)e zj153wo3l8@C#%l#{7Tnn^|j}OV9OioxcVENdf7sk(+&Tg(x**p?86i_*rE+(U3DG? z+8pqHK1Un+If@7$$)+g1X`|`-IRTz*)6dC2kpEAQ+q2dnpo_iX*TCZYTRH~y%bmE5 zlytFeq1N%DR{8I6aLLcQHazphs@Bv&?yJLi8>j_&+O+DX8yPnzX1e#coo3MPxr4Oz zWHupmRAYf~O_vMw$Nz^TBu=&mp20ixeF8m23)eolXdJ#{*{s29Z+AB)t#718}B27@WcLIzfy7;hIHYN z7c=BImuPPF>zth{BzrTC9b|HIBwUO>oZaO_&`5{5!aN5Lyx(b#g}8(rXnd*1YbkZx+yF$je$B zMz=6CTV>4=t6q}bGat37P54D?0Q?6z&vT%iguuPx5=B;{2*FD zx8QB{PdY^Zt|4{=AYMQxnr#fAng~Fgiv#dA(x9=v?Q)z+ng(kk>x>PbS?%w)^btYu z%9?IlvwuP3#>Om2fM=%d?Y_cEZdwbWgcu(L$LXf-Q~`f+V*#_#P=E&P*sLLb&&0^f7iZaPW1%#nui5(7c>3$F(7f7XYFz@S|A13o)~UdU#ws_ zf~v7EkYjzzap2~EbkKGc2%M8$c0(FvJh;lgZ(Mv2llbXwc)UOnza}-pUA`-bf%Kt$ z1x*-U!0RW6D1xWWfA5%!yN*k1;c|dPJH6oJu229D(29&4{NIwli&={geB9qJRQtfk zUDq9xqTuB2pvoNI@N!?a`=F4G zmXn%sG~kza0n6}t_oOh^m=me<8XvprT7Nsb4^c#f+kCh&97}sVzs+S{=bu;rH}U=9 zYy4=(kg$^r@a0;F*O)cDx`j|>XHj@oTa4U+Z}jU32Q0YUta3Iw@K;t;z4a9i#xiUf z<*s0??s^1NH_kFWMH6K(tDp;E-A3Q#RgrXoAsm$sr`H{i9~1ZZf?4R9+<%+zR{cDmo$ zX}Tgj&WyQd1#rLmv}oFdZ{8L?Ke-oxC)$}W=^a7k*1!$>KKo?Vhx<84=(kj_45#)t zz$^O&i!Zn^VxVGYecYa;U#E_(w-t`TW|%v`4H>Ea4fih@B8|81$DLg*ZsEX^s@u4! zQ7qNq6%vBIfIxu{y!31bBjDbI;Zzz{KAjHHPCXI~r$Y|$uhDJ-cuBh9($GfFUXMZ} zhpnK!gidD>t;fu$JUItnU!gwd>)WMpHfMR}luq*M|F;8^U4HLa+qRuxHDzRwv8fHQz}4GUn@7ZwD~8o{9KJ43 zOj~C=_W8193o~f$2!sL$Mzyc62P|5mtRL-)0&~au(Y`G@*TMChuf@}z6Y;X98$Ymo zy8r7i+OrQBMB|Tk(4}oc!wGlzmyaEQ-5@RwETLC=3VR+=er8@g0B9G_wp|R{rx+s{ zFLJiYv}*g(a<=irVtq_t+6aGt&UdA-p+D}APBj2By2%hrvhhmMC^8*}@iiUa$9)ei zg7%z%v!aUT^avrb%072OTf?9~$@PTu`81Y!6t)nLM)bdPY?wki zwHb3Gvq}1Os0%yE&9KSO`FO@M=VK2(GylLF^o}O45;*V>6U&f~vARnj+PW z7r`hgFI}S??Atcs9j;raE&w*lwq%cHf%8G?Chia)wA{SsdX(Vcut2q-kYQT|uvo67 zrGv>*dLh2=u!rQM7Og^0iNorbY*17V!-Bb0J*y)ud}GYkfeBN2HB4H736nNEPU25G z7~dIV!7XfyHD-m|_Tk%_Gy^O-Fjq>8VNKbtq~VP3*Rg&`x~+;geuTNavQ=_@?yxKy z=QP_UxrAM~kcPkkA+0C-DvJTzdOT{lUD8eP6IA)Y(kT@W$zhvM4l2j;5Ofd7KQM%n z1DOa2L#Xl_vTX>n;d2{wb5_(9$KJor@D^Y1E?Q6@2Gi(D<}H{)zYwHjaW>MA8F|BO z_-ovyT~vX3ENGIjO@_NLjLP>AlE#H$RH6Vj-+dx8Y{wyXpU4W*jC`Me-_7(Q)J8(p zYh`^(0_$9=_e1@4aLH3XiI3A9r`|?KVn1lG`nQeQhH* z+YR@zT+j-|vgf0FQUUupJtJs@x?!&D93*8ke<-Bf2pTe@$wko6t2EV{1p$aXY*;>n z<*=sD;mU44j(8d_s2P@U4*ERqT+Z6V;KZIRPn!L5RF^>I*Rh^E$XDaP*U$pc94trI zHhy{^^PeIM8`jw`t(H~i!OVSFTX*+-(A)a5hr3K$ZP1hG_-}mQHI=5;xrj@WKaZ_e z_*Xr0GO+gv7a+*`3*)4Wm($)y;1Yk|NPBZOdjk&&h5K3aj$0kLUe5_!SJF4<@4Jsn zBQI;ej;d~#w+q{(ydSMEj)>W~o_{x8N+X90_HN$8CpSm15iSagbCQPdHM)iW!!&xi z*FUtT7j{VDfZ5JPpp(uH<0^`Ddc;ML%7A;(5K!(bI4r32tok3H@YHYo+&!u-2JZ&a zmubK+f}d=6SuFp3BVqL9-QlOQyw(^8$!n_ZglW(I z2E>Z@V_I(nan5eP+m9@1Z0mN%3T|h>ib=b_`P^NpjYV3V&G{C=yFG!_A-O%Ckd?(b zIIXScaYdn3=IKD~oV%|ddu+&YEuuMvUxd(nApqABz$)`JTXu=z!%KjXpMmZoqDGwC z+Iij5J8U`mnbz0~*NB@-!flaW%tB8u0$%zf#o4ujxSi^Qt&kE^s$7JusHrx?$Tlla zV7~u$P03+>IF_8PyjHM?-=PANXG2=Rx?SZS=zU~ohxk%@{h1VirbY13SXYbp(+I5&r+jwSjm+i>D z9&yjGjzru+*W(_62KM=2WbH%eklTiz?;Q8xIYTGEc1#=de!XU4-``Gxh5Znc)W%^3 zU^#~okN}^*>qXuOxro^?DT%ArBS`t=+Za#BVC0`7EevO1`hCd!r7z6!o$+!eS+t1z zeo2ON8E0&TBjmMVSnj1_0a+KZHt)wlzF?czhGAWoK5djNIUn`N9Ea^{0?z+dIHU>j zM&7U2dq+r;{ds$&Cg*eOR~*m)-%z_wNj!c5F-MEN9nL_QlkStVd$#8~=40O?%PRAX z>n6os0LqOIaz7Qj-|Xg4u+lAb@-99b?b?4N!Ab`P{Q zq~Z$$I^}ztuKxD0cpsw$H)lHV3v0S0V*VO=bQC9ljTST8hn0VMk3lxfw zfQY>fEWVXmHywjulk{sK?+a#2CzB@Wpu~34!jgVJ#@Lq!Sy6)Tp$oTjw}1Y+tb27? z8O<5`0(Tm}#W1dPcg2|(MMmJJkNb4MWL1>W9ZoEz8O9?Ir2 z`F#Mi96r{?%p6`XAok1*uKe4#pU0uDY-W!`GB1uLy!{!pr{^<8D_%p?qn&5)b)QG` zLAkK1ONiqBJZ`(%?A?7`1I5usIz9T9o3PsjC!rk77gloF5}>QNu!;{J={DTJ$P>$j zHvhs*?g8t==twkXo77US$VzU{Ux%YIu!}pIXZ|of;~kMA$wmX%Z$t1~cJjfb{r1nZ z?~XA7xzxVE%I5&u$~Ggkxa+bP<`W}kf5h=7PsL@lXM*EJ45(}h3Tym+`^nAMT`OkG z51?$ao7vx20NNkYj;~=TtQRI|$=5bIJF<5hQ-Oim1tudsO_A{sfT$_Bn`4V}!_DP3 zHn6;W&cqjKR%D)FV~>MocfRjnq=R#JL;f=+Ga^mBwe9xs=(Mg}KWr^Z><-tn8mQB? zl-M8tnNRpFlMG-Ua7x-%q!fqrk8!McG zF7Vdmcx#F!0IIznPhriEBt;yW<-iV93>fSgN7Cwt#Pw)R@i`p$d55rbd45xqR-GL*p&>Ggr${HQHG$+XEgBs89LHuvjwA;Mrc?urW#FGR~_6mnjKYbz0h zRkxLnw9$R$Zu5awpc!TgNitp@tlP8|$cr)7#|@GALSb6=7#2na(vf!7Zh|htw?ip^ zci052t%%f?A&yl;mDev(daU)sO*OpqSS&V=1-lKvgFue6w(;mez?rk901txwadyON z?-sU}i%@KNf0?)mj{=E3rU=?|W(d7&c_r94*6xwcc#^ z#vH6~hh5ZK8}2_d)?E`Hf@AYbDzLzKuhN}(nFri5OLun;JG1;bQ}#6kl+%a zh%1|@6X-(C>V6%mX!2`pBKF+EMI?8r*OwI>7v1ejjU4Y+rdIm_+b**ZKteDIQVEXmHVv9ASdWORi6@bAMdriQ3-5d*C-99sxyc=#1928fA% zKah$GcL13hU(z0zZ0ii>e>$SsrnVqx`KwrCXC%=(e0|y9oJk-kTF&^Y9hd;mcN)S! zK==(-|MDQ~m%Uw{d4XI2{s2wk3Z&zbYNtPZ0Cd?ft^%WfOINkCooP{z1TO&HT8(QQ zOA09I+uA3H1?AGc<`y6YF)P$nkcxhULdyx!4&!seRL}MwDaq7(+=XObx21So{Y;S) zZUj>xt}xo{kiw9UuxRh6Hi zwf24*0lZ-7mD(uXXxF1HTO4o}An>U1K==wsl6v`gyB`%5*f&I6>m7omxsC0>yAH%@ zv31u%qItG%>y5=kudn%V9gv`57c2M%tnYA#FM!fd*i0dYSz@F8{3jY*VcspHPsGF7 zPPpNUZ2b2|uDi{?^f!_=+3US2e$0^KFPsOIYH0KQ;hyg{^FXI;n?bRBz8&5l6mVP= zoM*NDc*>StS@7S*Z~spMp~pV3tr9ZG?5nG0`pUs!aE?T3E>rfR}jW`cq7*8aS;8=`TsfHeYF{C24n>y&Ou`nG4 z3Wg%ao4Nr7&?d$n#|C(SoT8>rwm$LE8^%3&=L6~JkPk-+GJ&Gf2U{__0=pmrfgbYM zSsZNoyFV7o3-U-IpiZssOF}ceq7$0ob!n$H9O56nA9tQolXnkqDprAOGS}`=zm*u| zVT3damYSi3$Xx80Pkun4lEJN#YCIM>`=dwGY)-vki1N0Oxh4DX!RJs}o|!koG*B=+_r_8I zkKTu8>8~Jg8rAHstbO?8WkHuOlGYHSzqlE=y`ZOlm2mlGLj_7BH8~2lN!Ab3PyY(` z6YXd$pmtReDJZzEuI+r|G}kq8_|E>qI)3E!8ZS4Tg;lYc?ATqhOb-qoq#CVF4vuMT zxhyyX7O13fUeedSF-QwcB{&TtnYd?7P(pzcWgTu=D1q5ZyR)D`m>-8TW|2;$`9b%b zAG-|}v|1zGf*xiq1${Jb+iQsYE9|)E_6~N4ydiIzz9EIdL%lHywoguHE8%6xR^*?sZzp8y->SYK5EEx{LKgc8ri#tB4Pa5ht8yIytdaMupq{P6}m zvbrbz@hUuwNzGi_G2ivVesmx;FYx^#R)TyVOjD^{iG&|ts3Yj*KP7h>W+Am#UM@|9 zM`=8{k%w*zSiFY?6iT1ptzK{Vb};<)U%_?PNpi zvGfF7P3qkB6;B>EA01lnOR{-tb#789yQhYWwDXFt52mA@@UXU|BRz2jW*u3Hc_7b- zn8&MvR~>mcp7U+)F3G`w*4zCj^~O*T5QlTV{#z|SD8jXN9-HUc{3qs#g@VT5Dg^tp zscq|I+Lyg2RA~Anc-XL|FkR3%lp3HC=R&Z|)+p#4@5RMrDb}BK{z6MGe!cX@6%V4| zfwUqzKKa4eep4iQoV{;$0@r@-qC@&k3F$!->m-h?Nek&Wa<~O_p6GgEbI!RdkxWGF zhWmDY`88Np591>Df@xbms^G0qI2Eca@(+*!SW$-9!Hl zTi##(V>!M2JSVw@(Y(2|VFut~tikQh4Y^X+kQgc6wd9-dP!oZIDFm#o7R5=rxSs(< z%S)7D1)$()DNEc!e4{eU@@((`#~7LQD&Yi|9a6me{?QB5#T2cgrKP=IeX*6}TO#&a z#|2By)^?HMQKNqQYw7C2t|OD*O#E}11-G-S{3|i|A-uAV+jKzbmIYK@T_{!Qjnjfs z!%|+mU=0Y5)God%cndq+kIOb}gymg-$V_-gLgw}Rrs3Mp3^79A96xHUS^JG#f57+_xcrJ3_kQp|+tP2C1d7k8p z4f=JFi!2K9oRZpDWr$pt>>4@BN7~#+U`tqQn*}Z>OP;c{<)Oy~eYN&1yYa8U7m{S$ z^G?SI32K)sdr z+I?J#rL=Wlxpb?mNFBu`>hzL&?HqluCA3~%6A*sac+b*x-vaJ92~)2~6E(Rzp%(WI z&h8@*lcYdiDGls1FKj5oTh@mF|FcU~!8*ot7dy3VoY-${`=Ap=$nc1W(`i7)VruTh z1)%0W8ZQ-GS_nc!wj@raw-9kxI+5>kNrb!yv29vTm(AFI-CLrEo1@h5J-y*P8WFK3 zt*5`Sec^i@A&>I5c9j77AxabqUR^`AHSVWnG2Z@KyiETNve)4ISOw`5YM4zr?&Nk0 zeLuC>VvR6XJ>#23E9sxA2czQ`|EW)o-%`=_U%?yqYtpSq$uF|Ni(Q$@l`+KY?8Q=&)q9?YO7Y)+<-=*ko`o66(C#pohKfLvobepMJCi7;3NI zS6;o&?|ua*pzrj>)jm0VVLaY)u8dc%{@?hGP~2;pM%>Y+-f(%EqQv_WsK@Lyhctm_m!C`QF`EgnBL9@2G%AG8Z#m z3kuThOCM~%>Zry0IA@sb)AoH$@;siba1BBn@7RWBTu9=RtGWF#Sst$3TO5A@uXMVcf;8Lix?*C$OZ ztjRR)({8DCD8XK~=_f1Rbd8CFT6X6EB$f&@F zdwUgevU4Fc@TZoxZIdg{Ba_{Wn53buv7vqYwV4bG*q$ob{L6T?#>t=%dZc?bR~urF z?vu7@8-7{m&G1FIQ7={OIF;G?;Wkp8A^`E!{giV!{otVn@U=i8_JbXpN7p{}{Krei z7XXEVrc-=zA9<|M!#vI?h)l%X5r`H#d3mqMna+P~->X`9<}8y$trrnOmn=@L*gNjT zs>8)yt>zsbEBa|f3J#9MdBxH+5T}KB$FV%22J{+6xr@HdFK9=tJWG0w?O$vc=6Dhs zs^`i>bKJ5aX3+q_!3DqA)7wHD$xlLSw>4!~%zAEBv6UoP{G~sB!Qd6-?S{g;(~*H_ zBXJ}3lVZ_J>Qsa+2f_>g=w`pci>0U)zlKR442b4 zI}3&zIlYpP<+CSq`8mSn*QfJ*38of9bdw}tK}0f(vC`#vi^b((pLJ8JK8b8mQJ;hD~=uEq{@9Er?TpqzgS*h?E2&b3|3w{hhNnX^~@3ujv z4wEleg43Y_^8!CIwa5_>IP)UEu0W^N__Zh@$qSsd>w>NJ=5@RNHdV(v>@x8t_Gpnn zJ8>oh#8h@a4ml7pPqK5pfW&kwEZ=zDOh})DpET_1I~o>$1sY5_MJY+;<-z>6srn4C4Wm$5$nnv#-rRxp1qc7EQM3cI1E_(P+i2Y(z zDtL=?!26k>xxx*tGcTnvj(Z6;eQ|Z4BZsg+r|f+34rQ)=sOWshlvRw&0;Xk3F@{5f zg5&#rs)GCPyon3JxLo?RhO;d;a!pVBEIM|wrW5yZZCn;Owu59yL&Z$yigzgeO)PIj zG3iFne+c*`WG_T2y;|O+ea-MxfGJf=#FQ#lAR(N))Z&F&Vy>{9$}UfS4%2CJDS2Vj zbm@&>bO-X*p)tG5+nk)~{QCF@JJkG*1xcsOpZaA|{ArH(DW_w`Ws?4EFXDm3T?YR$ zMsQL#Ys`OnnZa_JFVe7_3L=8y1#G8Ypc<|^rbf(2uB0kI{!X?z!>55e61LEtlxr`H zp%M+)h$XYwQ3c@kZ%i;Op);ufUxXpKQH5<>E||@!H(b5PkpxcC$iwpE^x~o9D=?iV z_1-&~e<2n&?4T<-FZ>GJ1kD=&AWe0q@%erH_RBvaO_SI-KM24g9xkwpy0?(NSQ3JD zJOTOCjm(z?p^s&qFpRoi*(ya_8@>4a9eziq=)T_21h5~ld*-X>dR=sHdVVZT zUhoK*EV*cx=o_ke)&NmQvb+jLQANKnSxOAy5`&F0Tl-!ZA$L#5)$(;d)J)fz=xBmX zl7cr`z;czz(NNCV&+6CgeuiqOe%y9TU7>>I40)^FzlDD&^>G=(tmz2GMz1&)xY7-% zwIz;fR!b|G)P=!p$r+-->sN4Hp~)LE?3VJc7%K3K`_UY3Kg%Tw!AdD%iF{*OF2$rg z0R*g00(SQ38ZJqDoiL{udHupBCJno1_I-PS37Z_WURXJ~&=!yS?HYLrO8dF$_~9@2 z8&0qiVE5~hnN*2x;n@T;JF&c_U4SJ?-0dZ;)x4=%JIcBG$bk03D3m3dBhUAT2`W&~ zwf=R|BY@_mPFi}a)4h%+8j|>v&ODfSTGkevz>MR443Qo3cjHg);}$YD>rPip@xX#T zqkSGPFLJKwLU&0w>AJM%V9z+gauH52M`CZtvF68uwGa^mx(hcIIM=5v0U!UH&T+G3 ze2xe&j1Vo0v2eUkUYoC_5=*mtgUK(oX?drl)qB?PSpqFh zxJeH!T*NP_&@m39-%ou)I^yjIKX}8=W=B(dLfb^9-Ja%`9r{l+ICo1jP!swixtiOx zAuE&)BmT8JlAZ;fLGAXcS$nHsxyWO)(}2O%lTEc5;Dx*!tzAI8NGreDjZ_z^#exyO z@hUj6Sy<-?mCDOET>HdBuoz7pk%_ezJHoLUW zG)K6z?xav}hHs&ppW1=wOs@Wiod@K_`!V;1J1Rw%#=m$9sYfcmhAXLSL)n)#-Q=u6 zHy7dLQr~*m=P8FY%Nape87?T?NwtPmD_k+3*vJiV7CSG7?po}9L@&!c^g#_*(DrTJ1`rFEkJ)*Dmve7wNLOwHjvp+eCM0tI&!NCVo1tXW)5!#z8Xp7){vX_n(bvMl%F00VHn zA`7ncrCMF%eSOE9DDo?C|LDOla7sxkYbx1V)YJHXgO9Z&iHC21CrDfzdZo)4f7N)v z)<2&Dv*E7nHbpk1`H0P}PsHOHsnSNcaz5<-kMYPwO6}@z_?)s`%2)Sww!5RG8qq)d zy}s}hcjzDP97aFKX1?6cMpWmOBgWw;qxtG%H{z1ROJ%dn7HN-IW{b>~ak*~NoOAUU zj>t-U8rN%GGY{K^MDdz6HUnDi_ANj|7Fp6o@V|3>QWSeX=fA9MY{NrI==j!fN%vf* zZ0e8k$Uk45Q)qZ}Zn?NenWYV(Xvw}|bc(TQLs_ljd_e&u^6!J5O)fv$MK#Uw`l1xr ziJyQub{Yvl?1+o8N!z>a^m2y`?aUnxyQ<++398`w7useX&0_KPpqt0!=y`VsYAx;` z6O;E|=g6Mre#sn$Bb_X@W(|sl+Y&=JZ*z{k=J&eO;nBLf;ov{@$%nVWX5OR2-G}Ce zW0JTnpj4<$8a#R7e=a2%Pf2q)|MoTf&HWxoIxJo$9k%K2uSfM=V&y)v_qO?lf%uSq z;}XYTyxqOP_>1=o78@*ZTdDu^UCt_o>Ws7Q=nY|o#5#iec~7SZywB5>paF@+-E{TA z=e(+dQ@n5*ywTn2z|rmQ(aeiTgXSjbLK_fTHnHO*Le z@K|*ffcLDE2j+}`m80sNbeXwNV;w zb4D*7wsIC-P=nq^!>xrjUHaAFE_VfXS`z!vAD5y;PSbP00`UBSR>u9-RN!}jN!FBH z+Q}%Ug|y2CuafRI=D~jL;R*(xDCXs^W1a2T9+0G=G(cK$7rk-9!-vyx9>4FhPJzdF4$N%)f8A``4m043*Hz^70I^i1xz<9gt5c`*uB~gAKp#+NBBlu^YJo==&rwLr+rF0~Ff&xf8-85fqxj)b0;)e!Er*BskHw=(` zqlw)N9%=B4R{#yShxx^)n572CcuEaUPvSy+9ce48B^&(W>5ITNgq?uSXKh9JEBV#x z9!F&;!YJr&(qj#M=pfc?AJ;65S;flk*@=(CUdpt_W-4 z3WCx~ER^#Pt<}l0=7Q9sCa~3?CPAOf77>~%2ybWoW%_mzV==`RnJhc%DZ8oLY4G0P zI@35ZA);)GiRP^@LjnH*!$Q7(uGO;#9qA;KKr!Z#5qcpMlO)xqwe&~1RvIoTXpb1u zDZ6&KDO1+B97r=y_;#0gsy2TG&Vf~@xdR2}Fba;lm{Ht=*37lUe8Z&_N!X?~n`Pae z;YlS$Pq(3w$s+lZ8a}yfj!(x_ohOcWEv(~Cdo)KksOQ92C}OYc6QtWL^mX#{<6(d} z1?nM>=nuW0^bD66HUsxFk7?6Sc7$ZGUDp?m*xR}u(loeB5$Ygi=OXQnl{_Ua(jhs~ zH-tJ!J)jC)Hd^dD0v)~xn;+?0Z0fOllGD`RpoV0mgv0^pA(wP3)~)@9desZud_lfEbzp#de;ELo>+7LQ%GKP;E|<*Nq8O?*OlhO;Ux)9f=k6m<$Rvh{aH3{ZT)A9Ex04`!j&)B*aJOPU<4;p!aKIXyPsX;+DeZ6bU_+ktXipf)e}F;Sf>tRh=4xOm39<^J^k zn(^JT3sl?NaS41NxBJeK3nMd_OaZ^Y; zb5pC`oFV>d3B+b;XL~%{gyid9qA%&@UIwe{3J}T?azcZFMDhhiHM5Z9PV~>V zp@QbhE*{N*B-3q_|Fry*5@I+q{glH8K{Rem-7JV>fFFcYwI=us@5dJH`V~Ky_3upd|~=MQe+QQ5%SOTp@@)l0Y=9J(8F9zChhmRt$|ukc8~kfp^YO4KOYtV zchU)e4en=4DE8!WTGuZO6i_T}n0TuS92!FhkAaB2xsL4-Ib!k_IV3Fzn*q7#gZW3n zbz?Z`@CxCneFB?AOyis|Mu?uSFCsrZ#}(&dW#>b};1}0dne=GKG6H2*g;*o0cQ`{4 zYD8Oi111E=n<{V+YeiQ%}}mQH7JGj@a*;f?1H0*UY?8wgKLiKc975FQFT!DMsY-+?O6=7e zt3(s^=VOYCe_d`2Xrh-mgV(v_h!Y?kuu6H2XMXU_XuoeE#70 zsZ6)<4%nnO@r`b%NLSZU)_AVVpM2wnrBtJRHB^T82YR@+Z*n^C3@0`Y_6=E0tL(?E zZUPADh!Atj)M9~8`6byshL7Qg9T8&gBHUOo6+~~!w~qKQNtk+mb+7k=aLHzbRJZsr z88o;`-q+0ydSQg|X0sqL*i4_-Er5*8S|)XN#E|LIO!5ZU4|@*tS<>BfBqvJZ+mDXO zLXIY~6^-&!$T>2Osm|-HY;rWshdU`wekBqK))gJ+v%1#9cx$YpBPxW`yo}v-M1^?6 zY?3T0WJ@G_S@L?s2A6B=K43KE_coNQ%mu-28E1MDfqM&(EJ^~sty7|(Itau%V~n4d3+FL-I62dP_`qb!;st@z-O@J3*aPu09in$zrv?jFWi3u zmtZp^RAF$%b=(e;^X{*}weh?tby$kszs#C3ih-rW)mb+blf1gwg;jD?a@;m#r)M|2 zaN>?I3%h^CVS%fHROjpQC?-~QbB*3wiT`-;Gi!Gcd8HC5@&m+21gXx=J2 z8SDuBo~7S@(zcQF34<;_n7W2))eH-XmzIV-pFPP5eSA>~TVHsriT>ahUF{*5SvA%i zs8CpP*}*mXe4j5l*ju7#(2m8&#_Ukjl0l76%GQwV4^v8?1SnEhf%jnPAA3ar8R;+F zTm{#IQdq-r`R!;)p5Ra9BxW-e-((fXQPPek=Exm%U9Q@*T_)Um!Ou?eFIZJ6b~^p~ zm4xpDAZ28_7a3wi9HW-X4KBn^eQqI|X=ojjKX@MzIPEP6orZN`y3Uc#82vN9(%RPn z0G4zf-I870G&Pp)g0j+LBRt^+)Ter7Ypaf_O8iQ+*owDY_Bu?m?GrjI=fUaj`~6F1KX_B@BAY!PP&Y-Nz+|fj|SGA>a`C7 zP)sMh*SvJqqqd zhb4AM)uS)mn4wc~ZU-FDW<+MSllytx)0J||{2Y(TnCFK{I`zhh_-VG{gjKZh6X!`s zJ^%3}N95(^13ZHQddSvbdCg8V9p3rL-L=CM+fp2DH(RV+?X3Xb`s>?`>xt<1m$WDS z+om|{>-k*qUoW^}BJ1mMhgv$Y^!2)Vo{N5cq0^!rm4a&W4)1@NulR#^>cT)(T{ny~ z*{^IUS2(I2PAE*digV`PTP-45`H$8eNJSrvQ1z(Fz`0WeN6{WcN$Ch6&=TRm^{@$X zTtlCzy|avA+}w}uxb~7e4dl#KjI3pZ!k2H1=6-%;WU$t9dkpn#xV=!kZ%s!QIig>e zjCk_E7E7BNrGJ=Wd)JMDou8hfm>k+{vm*^oHN|$AVsj*Kw}=CQCh(02zR~uu7zEuD zdGxFmroKsfdYVSH8=OPfB2y*DPwlNbB;rl-Xqa0SPpDbkZ(N^P#deI>t}k3`GI>(K z{3+R>pbOJw@i;Ho~4pj3^9Gh?Y&Wfuso1Q;gx!Mb6_IYO2`T0Ewl zi^0(O=7S7|&Nn}=@S+`d&zo--1|s()yGh^8^-gM7i+rkVL;w~Kl8&!(RN)SD(aQq& z-ts@XzJdDd4pXVrR#fnrt#ss8!@E9W7JsBmxf;tp0{@%8?1A3SHg;E&dVLYU#8Deh zaro~*xszAa(Hnl9lw=Mo>P$wHj-*Ns(88aNxHR$7vpuF=tUf%QtCw^`t> zB)niCkA#P%@P%q*?v_b{_qInbM4$>;A{5(A;e-z>?Zr^qEt^D^t}LBIa*6Mz>Q07} z4qdmqn=BT*Qfw{G5Ry#1j#8^{!Xta>8*j%Hz0wsCc_{jpMqseygt){S!z!)8m@bF1 z33G^qv5&>D^3MdJ#8HC&j@|v>M z^|(o20Xy7q$!`s^E3dM<1IU2?RF0X)breACdL7A%Q@(HBulINmj@S(HSF{AX(~-eK z+8K`AajZY-vZ421u^XY|cgH-oF$6^Y@rJ{*R>Sp}ovj4~oxg79{KFmYM5Ql2SS%Hs za&V022_!9JJHG-qW829+kes3?XO{uHf(FX&9RuM?Vk0Ku{R+aay;$&umPvnozc_#X ztGCrfBDILI@|S^7Ikd4JlyxxllH||Km6@yS8n`E`!=n<@xE*|tU0&} zp;QOrq~zAAH$J54qc{BKzS;7R&2|+`H>n!C8BhNJcPHBs0Si9JDSU71zoAcD?A?fH zyO-5|k=vTf(IaUE=|H1=_?O{uwd7eNrLoW#*9X0`;Kx0dEI1s}kUx*c81iQd#2zrn zyeZCo!2XgTvW!jv|3BItPJQ_-_i3G11+PauG{^t7Nj0`@!~d#=yD~B+-DSDPe*S zSen{*{~9nfy}74%C3$SX>~s>m)_6YIbnAmKVQ@FRPh^E**IyS-d1oB2-;Bv!2MtqP zL#n}Al_NFB8~JIsz6hiV{=r_sNr4x4BVf}rfO?RoIj%EP& z(5*IXp%QiaMQQ*fP?|cPb-)D7o+#rz5ec){CZj0mly`9mYe}c3)!$~BwPW&*e9d+$M68B#=BnU_dkX@lh^(L5}Kbq)<~e1y;lL; zjU_kR`bKxf+u+dj*D?4>!mgKjcK>dugS3a&+Kp#)+?sOq+vuJ_ha=hjisVi7`PAG* zpte1Qj+I-xk@K03H5u54C2^RF0k|x2y@^Q2N2d{GK;7vVRMHY|?J6^%iX7?wI-rY8 zAys32u(C~G$bFf-7^+Gar}g}1oV)==q=X+1;tK02uSWx#$DOoXW5s2ZmWF{Ck(PY; z22_pilE-HBII^4SSjBH}KyBD$E#RtO0d$~-t(KidhUGdK-`2HI23tMkQENvW373PV zC6Ee=Uz|_Qdsz@>8V#?n@}uE&7hE;*=mut4XMgn7@|t8&aQ^pjKzkwl^0ldUgc&W- zM{sona~RMji5GD2p*tFRzCPsxN7hq1$C}>(THQsj;+s5>g;~%X?@$S(HmY_^SeXrR z=T@ubbVY#-FAUB8(b(NdyZkG;0Y+?1oxna^$s+YD2-i7d*b~r)l8G8=SNv{$FdbNS zk`4{_P{9ebfo=tFi2r=y4dbqzG80&cTAIcLCb*E?GnPJ?!n5Z>`W38?ujmzbSn;mH z_r@bG_)&YaN8gVQTQ|wiQMR!i*ocZ^Q-N#N83;PT|D;Bos^mtVqQ;W$S9D8SiGsj% z+pMHVt{b*1vKRKlIe|ilQjq0FM#+j)XDV>_!2WR5Ba;b#x?GOp1#~cq)@cwCeeH&V$^pt#Kcoah8V2;T8 zviOq`hv;N0;V@L+@BkcdS42lM{C~nlC^N1xL+EBBrrWBuAq<+qy4o8H+%=BD1x$9_OH+K)yy3HBMdwI3C0{xN)3;c5EYeMDJoL}NF4llfLT4HGMy3sv& z@(TkHPF{}_ZZ@t&8!T`?i=#RM(4A~^dSss1_iO>T!;Un?67kA1;Z);Vc=iLRWb*tw z`Xnx{JiCC5AanIrfv(c8%c&Cf<0j6IDDy?Wk1uNKxY+#)#G@DXme z+{kdG@qNqj9y4&I+001QN6pQIXN)Hc;wLkdf#l{uCGfCm6*vwUSr}jnbbY!U@D+)B zG!_Qcl&MZ(ceUCzCg~0TW0VV8hJ&C5vEl--tV8 z!Jpj;+<}Y|Kj#VesLqy!LHlYrPM|KZ82}~_E)a+KL}b9LH%{@%nA6YXrJZ%(us`!3 zz+BzA6%Ox5m--237x@aY-Rs+&+`fiHkRY8Wz$+cLaInBZw5hb4A9y8sJRDwj3f7n_ zd~CUU*Xz0JxWt#in4FKvEccKTt6PDBcT}O{>FZd515AQ_o$JeBMrm$EW&o}u;1mda zjGE|a8T^u+aIP?0FeZHBnz_>c=PmQ*k?>R4$F9dFdDzbGG9Cef|eXy zCLCNi={*17oswLEr+I9YLmV!+J`n)@f)^?AWcbiVzv zENi*`IazSE+Fw>MLlwG6@9dDUU^Q{(Ve}5?Pk#Re>OTBndjfGj2O0@)9d_ET_U&NX zZVLeZjZW{2oiGG{_L^iMHT&}~Z2;@Mj$BCbf7v}(La)_ zyLK;Iy@eOq=6@o-O3yunUvr4laV0r-O;2@B31}HmGH8! zA+&Zp;ud)JnIHRG;Mr7<^9sGpOYuoc{{^n?fMzNP1SYm)`Q?hz4_Bqn5pHE?umnJtanH!E@2^e68sK5pXAg%>viTn*ZfO&c`jC6$_?Yh-i^sKn)lP z-D3eZ!11XT3qHj;*O4I!q)WmAmVm%;8oybR37Q(ZzKGnxf+>M#Zxy)0fJ<>NH_0*T za_ukE8mmmXlK9U^T+-PQkNZFR!-;sQ&9S)d2*No#j~hM23lK4%)KNd$%~pEsSJ}l1 zElVV4!^nUvGyC|mQ1}$RyN;#tcybedJJ=Dk_(}`C=;c3}dsT5IB37L`q$}DHV7R)0 z%(*503%=SN}CRm;Vp$;EChmQ$hTiXq{Ha^ z3xrkvg-iJ-R(V!Cjd-9#T+Qoo1U>OtKppqw#=H>O?P#v7<3>6|@{cc0Tg?4_$t<|u zZ=|7Wdci%ZOlDr!@$VQszK{;mu{G@qu@J@mdQ$h!l8|3nrzMC!A~>3w5g->E;wP(n&j#l5v|2 zld23Fll1F32lUTx0WW0wiY_oB| zPa|Ok{lmcANG0dyeYSc{cSK|xms=WDV@RgtslS4_%Pw|eyU)R9BX^j28+&ywO`A;NR(^5AT;f5jD#X7w)3sCs4ARH1 zTKFWxJB%x+N04Du;0_+93EgJE6rvBiH9n*$))^2XlZ_s32PTBr?#Ts9UpP?BRF&J~ zTScGb;j@8E?GWo6r|GVb^v2u$%lNE;`+^WTTYbfT<`)rVsG(oeQ*Lt@mMiy$o_k{R=#4hgP9`5l)h^i!A_%?;v9sxfQYHr=?E^~-|gu@;lu6{>EDN&F-r{;uj6k)?_o8nLf3Q>z{G17&7Q zr#lEOFQ|5!ZMtm=l-mxs&Avot3Sy@3vBHNyFSxjTNaGUw$Oz2N z?*K~RVzk^o-{HTZ0)FKNVE5QPabx5l4-=p^RJQWH=Nn*npUdJ-fs~hYAlz_|Stuoc zu}FuZkV_mI-jSd+_IzhDhVMuYB#w#D76prS6~L2Mcj>{B@Zlo=GO)p&7~1-d6E+iQ zgOt!7Q$20yLS$~>+ClV7hV$A8cF8kb?Z56Sv)vj?3jZB z(yM4Aaz(%loZ)o?GLgM*@FZ~4+slFxA?tc$WyGnC zKo$AvO%=qB;Xv((jN{S;cAhdWaI6tik{k^8_I!Ud#BGZpk(9JpP{IK>Vn~wBYa@h2 z*7>CmZbVk|jc_HQ?r~cPNdImIzk(HkE?eI?;HXBT`=wXS4onxGfrtUo7UsZ2J_dTG zZ3_XBFO%L_aZ8>oaLb#-KiraAUNpegd((#8Ez0D9W92d4@d05a@9WKAIRV%_ZHaoH$z4EBt z+cD&+f8IMVMzQgg^7#C|#e%!Hg~f4Q@Rtti zr&~mT`q2k?1Jv)$7t#$_zYH4xD+pPJq&tUl=>pTQr}*U!9ffW(o%9Gt9=rE#C@ExM zfAoq6j!?<~te;_Q%c3xE{jvKY&jXYmGKA_1sgq(?7&Q673Bz;4OM z4dssjFq9d9^XD2-b_@(Ig%fNjOB`=vvjD=Xc!4U}AvEX}$9h<*)UBzMB@O8>nOFDe zAHo`|1WVHiq=H?fxD%>&s@V4NbaWCWPvmX5>U-GvAJ#BO`1lSM%o0qwp-^!w7k%Q+ z{&wp+uLGrXj*lfn4+ckaeyruZuCU`_e~|fH-b&nn$F8G7XSGdwz6FRvh z&FRN_a6$EOvdMx_3vM=hyQ2(Gv4bnDqg<-e9Ufr%#BtCWbaRm4Tz43o!h;m&GeOz@ z3PLl;h9BqVQ|&sghJM)a<4D2;`8}2s-Cd~J&=2#tbHqOf)K`BEjlQ~aZUoeDKyTdW zJAd<~b2x12j|K5q8Elv(mYm=Dd5}b1sF90(xjG`|)+e4*;^?`fkn<=z$g(cEnrjDl zd{5D*f?&Oa^l(o4l7mRx1MhFg8*41^^-4;+aAEr=%s<){A9JX{gFcT|>2a0q(fs;d zhSBB+Zu{~<(m#$yYH|0%ZC@BHBqP>DGjpH9)ZxcZm$28^bT(o8y> z?>GPYhVjcz&4bM8a)j=Bqq$Jd;f1&GNK*=D;d2t7huPIJ&G}bci^(Tmwi`CNH!}j* zVQ+1iM=Wz8!FRYP2bp7LSs`Sw(&oeEqthb%!t01g6t=55cYO5xI7EgT?$H#yf}Y-8 zgP?wN&l=WPL2rR^#BOzW6V@NQr!d~CAYv1iUbvCUlD{0GwI%5?=-4=g7pbe`1sG#+pU z5a=p9y)pyym#>5?F5St_m<}7E7a$>~=v~j!>x{_Ejz<^K zgm8cm?(2?C*gXfc{pjJqB5KnPovqeC5W=NJQpdORuQl}7Q+!JgAi~d^hx@#RD}NB- zqC{mEL^l z!%N+{5#_@^fxAiRp)cYpI#m$bok#!h(@O_4tluYJd|>^SN`f5jro7>k1tZiymjy1b zEs}nVSzcxEY3>cA7uJ=R&AQ>TL!r_P<^o-1BR*7LQ$8Og9L~n?1AF;N=CX6c4Nq51 z*voUW-UA$T-%$K*D_N!w%;j&Ej&D1`(AYJANSt)W0f9#B>++M|K6hpQVL<`!JHVeI zFB&`%Zuj^lvBaNb?XoFr2sj98HO`IHQ0&HVZQFV|Hp6c}YQkr0wBzC;z+L>%M)M-T zy(h?%`#O9R8RmUIyT~T(GRLFm-DB7qf8ly6p0pRi?rs3r7cQsTX>#8Pcp3UbBuSa7 z@rI$$=oSh(^~w_jURKx~%!^0weFNypR{BL~d_rQs2#rsf67TDAwB9Ax(qDFEQr-RQ_Igc*r|U!!%tldbpNm#7iAEc}BFZW^%gJwfWEKXvoIz zZ#ZyJ{dnQ8krA{m)L#w^$r@I8{;E;y`UPb2ll>If>-#z!rKk{0w#FsQk6RtzpZ!bU z_!*!*0DL+7q8}9`Kr_z&3B&;Ht8+?X?fW`n+}0v>qi5e7%o}*}n(yndPih51Qe|gW z!EzY!$>D_BY39v+eNA!Q!qp@zIxf^u4w~3m5CNtpFI^~=UYEr;OU{=f{x-M6@>+FG zt;7mNd*X(dU%wvF%Dvri^-JN`w^_6s*Bw`C^X<(Fn;ZBiTil#UY7Id}htuK8jri?wDWo^o1N2bRb?A)|LL508R8wzD z$J&K*%GG!roq39YdreyNkExPNp_)hvBVK__l47iid0vD{OYHY5lr#H`qT1dg)Tq5Si_I|;%EYLyB zI$Ri76b^a>)AINL42L_}vRMvg-9@@VjcmLJh$HbPE)+u;m}tTHvTw158OjQ7C-|HR zn2s_}k4;Mn`1bV#iX8vC+=NNzx@$4(LMtEx>It%owA(?p>U0ox2H*b*!kdZ=2cBs? ziP^t`FA9pExUJl~<~wj{N@3ngZics4%&u#$Z6mSb4va3j5mF@RajE3)fjaB$Wt{~6 zD^DqCsC50Zo+8}Y!$2+zj^o~NEQTj?W-!V{sIvPKb6LQXswb{#5x6oM4HkGD8%<^x zDEkZsq2MwsO5O&CI}FjbDK_>Fcg&HDVX?Bd`gst}&}yAW1#al(I9Q5sPWU42ia71* z88J3Q`o9QkZ5edyTJ+~o6s7eP(VlO*0RIXC_mq{)RYKtJhl9>lfS?+O|7JVZhk(X^ z!12RFrd8s35qXXQJ3X&%x}={4#3Mpe|nfU z6*qT&UK>qSdV&D`^8_53rtpji=+zs`ePE9YBAFHWDuB;rROSoUEs0DDcGnYp)>PLQ zahy_RPST-9>3re!^T)3B_Y1kCkJw#tZ6uFG$Ys;r^-;<4=mh^Hbha;6XjC#m=5%L=@tLwhT6gomywAT)l zQhgG6&-I(_&M2HtOXr#84fy@IPHV9sxGaUS$lgiD0Y9Fcz4Pu*7+@Q&?njHa%@Y=K z2E1HE4)tVKxaW^L{UTP#(I1Rs@m&5QgBT8TkNfx80{h*TW@J0YWRrRW-dg5djlIE{}t>v+#?4IB3|C# z$SB01KR3d~zwB^lVKa85TV=zyd)Pv%|IsJFtRKE`dQuUCc1O8~tv;dnA$dKAkoi{s zN^T%RzHGvc2m!mHpd^BJ?GwX<+&Tj%OZ-ClUee1Ya%?dagrxIWI}PJ;#uh?>V|21( z&|rNjFhDyan*61uKZvL_6s#O2f`T2$0%}D&$rJQP913Z_iZhP;J>4;+P~e{Mc&Sn$PQ{pkDVNKzDh5ow&z6x3`5@U}_r zt04_$*W?@Zqr3MksJ?#pdGd0j#@8Z+CCmgLHQ#n&#EA z!iB9Hv_o@gZ+Dq?c(8#!k@Ss24l!KVZz?!nR#Q_I7MSuy&;1J8=Mc|Nng=fJr2==iS^kD=#@4b44_2i%?UH_ zN}~x>D7Jf(<-_coB6v{XC}#I1y@VIL9~HPr_2`!lm~4TtzXIf&)lb>c@rD+MgEd+X zctAmSH+=FXAV;P2ttgo8SHw9*z>V%!jzoA&a-+z7j_mfs8>0fOs2M zd$F$&2BekYPo}%qsmu{c4?JbVYbUEr!*qH8<#gUoj>6h3Vkd6dx!cKfpM_juzP!u#U25ls?j-@)> zY2nc)ksY3Eb+!{1Ja(gn6Ok0 zVkmCmo(fcN49U9tRTX|mqRj1X+WX~l+>wQa6>eA6ke|#QH&IRlLMwDnRDC{VV%Nw{ zHuL)4Cx^nK;0Ee3>x|%OQUSic^mzCvbLLNubRqqv@B$tAkSY94rK9%K6-Z4pF>Xt3 z))PkrDu@T|v&tJsDVr3h+ToeyD0ik+Xu$J#U@Uw8zOLEWZL%P;Z!EnL`-P(f%YMsk zfMx$PAA)w<5vgd=tAgPMFwO(a`~sICYlNMDd@lSbII*b*3w%eC*IB}J_iSggBac{r zS?L#%byYBvUms}KdcLY5TEW4$JTu9!`ByTeaP&8ZdcMeeZbW1qGBYHR@pF|w9Xs+R zvnS9ehLQV6!#9BP)#fU?)14@Fa@;RsR5SD;ar3V;kTUqw`9&wHV0-)s&wu2i@xf9R z?vQ^dG9Vqz_#!h=@PQ|@(r{JYytg19&F3%xdVjbts>2V~ONkX3YTOb)E`b#Bo`soB z-5vqoL`T?tXVdp|i!Fcqc}j8@TFx5oA$@RVmC?RMiW>JDXCt6T8J|)LB_8G@j(fwB ztdr2v()5pmBP-4Lq7hKwmKrv*hFPQF1EA9zGxFH55#~-QgbuEr8+yp8f*S@p6ui&# zg;%QJCx=MZyDD)(!8XqOm{64`#GLL1d$43*Oi#k7|hQFC^+nGx1}KQcRh-L+v#@A;6nLDl?UxrQB~qWVf-fJ}U=4oPRSQ0c z=*0>l4=t@qP6f;^M$tA*#fS86Ep8t=1b>OBs{O$Pq5x=y^maFi;BB5WMynd`F0y)Bpun%>b^kQ2u@*pc zlu+Lm7p8}Fb39-3;zq$MH4im!@8`5a>FJHc8#su3O=J`G+2n zx*CiA;nA|AedknLC^*j1)ynRsZz?w42z#PF;BB9qGOPS;KgV@aK?LlPwVI2H6f&Ey zOiypdJrB>2{dwo1;5vZP=IU>s_FJ!*ne9mjOQRE*uRU|ZU{4`W3vN)9ztGxFR*u9x}&E z=xZQ{QbP_FTu-tlrif^o56}j5^ZdTtNbr(qg%0Z;f7*67YoZ|X@92Z8j&60Ve~zh> z1#id`{G>mH?Mo$jgtOZ@06s+en}DIi#b&Jzg!gvmxzkpn>y^?fzNX+1=g$xvvpc z)IShV6dczX>4h7I9LEJ=MoFrF%?YEY^90)7{rNDVpvUfDrN^_isTC)3V5tTVoAlW_ z?heg6=?mSiyKAxM*9{ilksG0BWKhum%6q5jjSx|%3POZ8=d@4 zopsbb);e4*VCtNA1bnaN8DAwtB9L*tg6tb>RuF6@FtYv<2_XEh zZ1-4!V6FnUiE=dq%U&-$D!5_lCG-4U;oJzqe@@rhE_HSJj^K6fb4}tQZ?N<}nry{# zh;pqW_^nF*<3BzeuC8|NNE`C7R`BQ#74BC6H&Y3+to4LI{c?1UYkMiSLJ@f)mg7g? zr`!=k?MTbwj~1@Y=5Cmg(VX2{kHm{YpAF_GL56MU@5z6jd zmT>8rslG@>$bm+ht}l!ObY!3Eq(d!2MzrSpFRw4arz^IPhl8d0`k;JJP%Nc@bapiz zIsFP>X$`@Oq|_W_WC~MaM_o~u`ARDUogE8b>8&?HbH~XCD7$ByQ^AN7lv5=ulnU(q z_UL*F9xJYlhe8{m#u5Z83fw0|^LxI4C4K>%S1}%T?!KW{W=|sN^3j}JUzEB~1Agp0 ziQ55xEUPJB10d4@V{ZUnjK3Y6N5G5eK1T9Oy4_f?a_(6aL@f5y8^`B>Qy>xQAHbvpLwsoSfNSfKS%hNAE(JJuIPx$`1|`;c$e|hnFQFmV1Z*|9T<-oHZPxbH-XcE{ac0i6f9L^)yl>>_;!S=OQIKcrLn+ z3Fs5ph1%8zD8?6fg#e1Vj5m)8A`1t%t%bhtEaN4l^QBiD1eT)baW6HqAp&#A)tvmk zIdm?UW(tfaDJAEka14~M58MK@&e7HNTzNGYrypVRX@?^!-f`dcJjZB)7Jrq>447ay zf4{PC1z;*%{l(u$v?Q0o8J>Q3lB*rRxNpj@XGRtTwg=mYP?(VTRa{e;*D)voOwA$3ANq0mXInM&#&xRnQ%{Z*%Qk z59SqrfIWC;wsyx&ahDB&7=G4xG-7ti~7Zt#WmmK)m*&kWrOZ}^exq=D6S z#_4!JUj3+G>fDhH3l`NciW+nni{Iu2a!6wn9A!=|I(`e)=?UZME}aZKI7$t$m1^85 z+`ty<0IaO@exVH<+3O%J!{qS>LudO0s2{BZV@^HSoraBqC$$4Nb<*y2YrSqyY=oEJ zzu^IA2MSz!9pj1>M5;ME^Wb*-FQUOf1_sJzh0S^2Vtvj1(kz+vub@YI(${HWqVNaZ zBVmqe?BR`N%MD(WrnHDQj5oL`J84UrzQl*042Lw`dSiQ3iheQzCxxw?PsXBd=B%X9 zJWj;aLI&$HlkNISyYkI4zjpAtDXG7fiocupgf6+(2zW zN8)(Zc=H{hnPYx3RKSrY0GnCE4Y2XaR^M>B)O6km(b9xFCKFG(_I?OU{Njzojbx?p z$-e2Iu+z&=f2+Wq(*`SerOTlMHf*!mVFPy4tcQU~GCP_yGs=HjZp5|=fLPBX4V>MF zVfb@V@#up{PI>gk?=%=`1p%8vMx;&J6LqKyIH4rZvW-2U16gB8O5{GTOG?_iZ$K65 z`EO^=WF&2``ySDD1EsHfKd^;k=srR9EVQv9tg=ZX6246R6J9`HWDQCp!zL@85t~Ia z+|ypxfP0aroaVqx_Y9dYtDGJ=u=!Vvl+lkJ?#+@eCmm+%ksyhhl?KDen-244hLEK4 zXs~;XBz!eEzKf@D&SCjT4vh_-@N%Ru1xAA>yl1~r6%k9yFOH*Pa4;<6vdpfH1;Ot{ zhX-%d7cRTfHr8Opa4j_7h(ORovPU!!c?i-eC$Go`qsC6Gvpa-4MaE{S8PdWYAG#3F z6mw};5c_3;`z6uwz5zllDG3@7)TC23*{cEC?A6d+zVb$Jh$?Myo}1j+463Z>T6-iL zwDY_T6Y<1QRnpwOf?LAe#kp|!!t#s`ljDml2o4$YvS4dpQv=tK20?kBH6C`iP4*br z##_4jH{|psB8bx-ea1Uk8)n7UR%CAxqov<+8X`QD&I%1d#BzTjgE1?|qo_wV^@Ohw z+2S}Jed{j-6m?fY1itd*9gK8=j7v_9ln#!&Iam-lLyIki8jry1i^n;FlcmKZ>l$&f zUgXd7acwernT0Qp#EE8P@aBF--Uv_ms)E3udR0Xv3D*mLZRSi*$4k=T3vYWtmNpeM zS5cUDrJ1FK3xDd3FPv<$V7n@QQEY(AJy**lXEJk2{}?2!DI@Wv8OMg232O@7!!%Sa zgHM9?_%qJ&3|IqR`5OG=9j24h4i9-x@S|6nN9?Fo$Q?Wrlb$_{JY*}=J-j6C%mDT# z514irQbrt&|Eq@l3M+Z;HpDl3 z?&Hk@&tE^A-Uumtso(|%5I>0^U2+CwQ#fCS85H!KN*)F7_Rq~=$rE;N)`_%%OaBO& zS#Mld&M%%_&{ld}9dCn(v>x9jhY1t-oU|KpHn%9$nHmeq3fqh$WF}odxe-Bb-ynxV z%GH4a5BU*ag%Z?*GB*pttDC&~IG*u6s^Yjtjy&#s*may|s7+<}rhsrfa97;qIQSG5 zK<&6niAI}t!iY^t7AjQ10kMtma#2{{Z;$y}T}=qgQX4BvvCuxnWrJGPVTakKHgYB# z6fECTtg>YU${*d|aNXnw;b*H};dY+9S{ihzo=bvNb`N`?0BMM$k4G|4*2^c^p7eiNheU?mSK^;+O#+jsGu;SPTGAxIEXiF@~@u9wa6>j zVaVk#!rZa-!gt$X!Hy)0`~`AtCilr-frGAYb{l*wi+c!3@Yo3z1hfP9@;&ZiI5-o~ zsr7X1TZ}@AyJ^=_5I>0{L(R7Gg%4`Bgbw>FxKB|HHYncm)%iMr4#WA{jX;0nVjbZH zEd@$+1QWDCivsP@7$V&iXCi7xtikw%g#Ns7P)&aD?qbaT75LWX|C*bg2*U6y@GI12 z3tM<;n-KRa@X0v*WjpSYVW;b_z>OB2FSrZWy=*~13lGs@@_E>)?uRR5Z+NI3QVEhah?AdShu_TlT`WLa3F>Dy;<-@Ck+-LO@l1i{3fI$ zy|F$38UEE%8Zzj#zX7afD)9b>uK}-q9hN@HnlFD58AmQVcHAVfSmSY54Xy})AG*J& z3c~1Y2VaM~c+zQgIC@LAAsHcahjiT2jf?d!p9S}CZy)d|+k|`;4FBOUwQ!{6569>0 z!1p6l7Z+tS{FtYdcs^4764@$cAXS|wYuP$b0TVVtZ;tXw54PSS+F@{%W_Z#13$7WM z9EKU!Httlz15C`I0}s$~2ic~uNKXyzdQ0$N2mGHOf~32jf&A%j`3zZyICm@5FpmnB z+%&IdCz4{S5i78!xqsnkF8}w%c1OqM_p|P zKA=u!{uJvxIV|-S4EyMd<1UwET<}zP#VWrzftIfsay0&<3c{s;-8$~kcGyN&2K$6s z;Kt1h`*`FgZFAkw152IP!$$qEOq;n zetH8F!KTAQyy;caEe}WHF-XJF68{DMpvNw&AaLKBS0Rb9aaDnzc4>rFuyS5%6gYS+ zj|t1lk%ZRXKNM{v-zU5p`N12m@?OvawUv#6T021`bW6ga1DXR7dNLX=I#O=%2)DfI zD2N1F?0ST#=)6VLfIuj@?)n$R&nla%>uD42mV$#c$w>3b2}D?dE;ENC;ke86OzH?D zm}P>xFc|19(|h2w@>0=zNWNqf08;c69BgE-Ya2N^W(qs#2s`k59;+Bn27E_>3(Iu3 z>)jRRhVu>D4<5DBwTG*T_D~+KY{U?(WY6n}A&_20Z3zERe<70j@GP?w!a6wEFW7F= zMZF`6z$HU|vckpWRe=kajVA;2>)A9s4h8_VjIyCT8&|_>T6z&pW*i)!Ylh=Ch z5&R}*1D(90!uXF9F?tUt6_@)YHd#XC6foPNw0GMP#~YBWVqdCa#|F_S5e>`Zzk9Nx zt|_}dhoiG2*E4k-t*swho$1EVq1Sf+U!H1_ONIB*-jmvueUIEJ?D}=DV5*@zRQ)|| zW7G7H6kFOyAi45x-=XSv-q+Y#>ku^2Q{v} zVZioTyhG{~$Fk5Xv90W`-jOLq)>|%v0k$dClIma*6QA}GSoD*7WHdKwkiQrzkIZeX zvIPXE^>l{K(e7s*U@LUo?&bs60k5LP`jU?GpNjzKDrvr;Dt?o4v%~Ygr9Ee0E1Isx zf)$)xH6r@^rbPpFaR!a)P#5<&#Gop6w+i+u;L8{_)8VV1%#z&{!$R>QEq(Riwg;99 z=FK4IWyo2DCM2AQ(qoTmK^wR2|c76*`AZ#!^LWx&=8+qHevA#}j4XeUuzob$`3 zz*azU%`>lSE|x1;c|c93n~#1hT{6Cc2tR&Rfyc0I(cit4gNq0=U5z*$D;%xJG=S2g z&;m{P?(7&4kTuuwGUYW8(Q5)Bx0@vX^RB*gu`oeY18ow_mE}usTkiNGl&^H~{ zp8}jr1PX6gO0s9il{%W!6W%x4Zr9A`W*g%dp$gH;yfsSsR}jmB|Gb_J@Z}VT3RhQx zc>~SL^gzU4g59!D*`KSgL)_6*+H?o4U)ytKsx>zn( zrgCV3=9+Sqq2L2>>MX#mFhO1Qg!sz&TR=gOLY91FS-OCPWYYlyt6(VJ>kt#tKR==$ z9gYK6weE6xLCi=x+E-x4aI_6amJ$k^&?A>8#UQ}OX7|ay9MD?_4{&3()+wO?H`Z~2 zIsC)%JQ)%6D+u{Q;|Y&I9g(bbxMTQYE5aFFnt(MTwuYno`Czcdz=w$!B+ze7#}te7 zv7aBxCFzsH!GE;7d}>XB6M0qyHfeoqoS&=!OxB`+k5+O_=m=zyEkbKzd2;5X1rV_R zd#esyU%7a!5zDNSs=XX$unj*`<7>U zN7{R>gCis3rfjwl0(*1se`2SS`D$H2%#^FXTKeNqqin>p1K>h$#661)Wm!(EWbN$h zhH{PL5rK}I3Yc{R(_VCdo3UMYI^LUnPu^(+ri0g!`@v9i zv0ck2q%(pg5jCc(*Y%5&Zur+=Q?*ktAwQWr{E+Q#Ji;lIyL*_EXWG33UYjACc z$7z*y!q(+zBM>S`hW9LMoNpl5@|V+%Y17~6Ii_c{fb6zp3@Gq`{iYAX^L23~Jp}M* zpzSg*PgOQ@<@6k&UA%4V)pBov#x|^7EH(q`P?uX+!Zqzp^_6Kg%+!{?)d^XX^f>Si;nmn1bOo@CA~Qi$Fu$9ad_w)#H;`_<~~!(#wAg4`p7O z?YIC_bv@wa=+5h;J$znG7y)R#R1iu4O~&s;@z5mxV>+Tf1@c;x_6A>YL?6T0{ z_q&w{kzc_Vtg0$L#gYmfEc|Gz?GMqDld(fzyIF9E`k-6LfK#Scl-haRe@4wZk^N0o z2C#K!Kj3(k!fl2_zYd;T$!F7_2fUhw`o~*kT+|}GE4+U7#?BrLV?<;bBPxEsirl9p zXTTSA7PuPb(fd1lS&XjNKIu8{R@40anR0B;&N+@u^`iu5cYxnnsh5bx^)SE-x)YXhVezCvwx+NRQb_5Is`4F;Uq{zX6OVUiHsXJg zTor_}zHEdl-rVr>~I?)PAzp{lRIn zQLkSeo9JBv^9L{sQZUFc!~#kEFAE}MPHkxJZKyMS<6e+#D`SUVeu$pg)ejt7;nC`a zPGboGSaK&Zbi~-oj>yyX+~Nr^5OeFvA36(G4sRWn!C7iR71YRufeg-`rs-wDoBc(Qfv8)zN&aN>737>b`N;ixcl&}E@kp2i^9frSjerwz z#-2Gu1+CnprzHgYyo~1KS+XgH&Byi5KHT?gZxcKzzN-}gIBQ550H5C10XCTzF zU6I*^%Ix`mKF&*j34q6kwJLXunBsg}BqnI2yMyochd*iIay3-oI5byuz~r+d-97zn z&R>rvo@(@r$a2yV6JuO_BEh&K8tqOo+Z(ayT)EIHzn>s5p;i9w{}Vc8DaN^E+IuQP z1YEP=_d5UCitGQhJYD0H3?|^3-3^ytc&M@17vP!4cL+~p5Kkt;`KhJ33R~ooA-@C` z^Ga;KdDQV@_2bF+%h@6&5?eF0DYl+EQ`&0na3u@#woNz*w>)O!`Z=U39Jgw4#Y4yK zE>&#s>=7cw9?n24;RxXPrwhOuQPR@gewyR(O2+jG&tV4wWy`07dTBBIIJ87C@-=A2 z#bZ?IihZOn9NtN*0ro^s)u$@_BF3R#;i21A;Lep(t^5>9gQK%unM1cChsGG@Y+*zc&SVFeJq3S7DN=!+Bh7wpG}??(;}PvMdO5s@N1w&57u z^K^vs0|mzkM`1-=ZPgI!8Lk0y3{Dd8glF(b_qz$#;LrPL!pm1G2lDUk;Ug=N}=&@tkNXP|y#lu4!AtTyw_Js#;P@@O$v7MCRGvLX!q@eDZpAXO6=6jyj z{&wges_V?PjFZdnk1M*_M}+F8nf&f?Tnk$%NWbUAj{E4FVshbi=IK0M(wxWd`CDIa z8M1I9l(v`Gaoak%fXQ5f{z;oRfAG>e_0cWiB29$J_WXaE?LV@N1wvwb{u#mma^-F1 zYxq2jf(sIP`10qyWxK~jv}da`G;c6L z$E~Z8e9E-{4#iTr#m(iB)D88cS6M~~sx5u{@v!oHViJ7hYnk6adX!}Zxu(2+sG|7_ z>MGq_rXLMPo|`ZI$43tf3;pOin48H!K05r-jBT9b;a2qY{}p^f@nFGqpKh|V^MOoJ zcz{+lsYnf5;L`!l>#pmIN9K*7(n->N%Lu{pD{!T4BN?z~ls2#HzEzzCS7xQeeM2l} z1Kv;a<}bg%9DU&~FXH*vliU+bbQ*?XvXD)4FG>p>3GCLJ>64*E=2fDNcs||?k~Ob^ z+^!@Y-N4h(Z2U_b zA~3Fpv1fX`9%00OG*erA^vua-7TmwmR{PP-)F2-{x$?dO`uBV^Z~j5I3@P;^XMMfp zt-BDp{O0C&x$bd3e{{-TsNwDl|4>2O<63ch*Zk&Y;nuZig&eM?h!u?j7y_HKUM@}gPL&P zb|0NF&DSeI+jPy#^kyeN&0@xa&TQqn+WJ@C-X*kTy#-x)A@g1m2p2N%<=T2#Rxi_J zd}P^9uY-(HC%fK}Ws3DO0{tU*mRJ^W{d#^r9hAMXHr>nO`KR(Zq~9_wivjZ=y~^LW zEA&mFJ{P^T!e6^>rHDD3s#x%lv2k9VW)D15=&cE_vlBLzejvBZ}1ChqV?qGx2*5(3OKqMEQ|flk6RfD^DE7Kw~Og4 z(;2PavcY;;Kz6RK&9cN0ki9dx^Y*c%ZmH|YzLP9;3&GfVO?7$2ess(Cz=de;`u-@} zvk!;+W?vi(lKSKoR?J~n?iIPKXp)9sn1@IkZ*WulG#Pez%rcgmbCpcB9g#v z8t@1c9v@E=c7c5|_Wkv{SwR~o5YPEtqB;89-J-zBYe7SAXY7k+F|k1G%D( z8>sMO+VTwpZ?#Mi4uWx`S?Qgkm zU?-hKb|x?eo!dsOe5v2Cxu-eaFu5nLxgn#kMDAkpgge_z@BwgN zOLp)LD{E@Ws|)-`U-~mfK`S@44e2ZG6zK)e#>mhe@WNo6!~et zO4IVuS);RGyFujVy2sP*`6F*>OMBid@@~j1qtG+oVs}#-laHQxMQ;;Y^84-0GWbR` zPkG)wtb){KuHJYI&!$}c>iNXkZDroDE%+pLzPVrNHWkA**&x4v^XA@eMRK}_OCYJI zbR8C@Tv_*^eM$x!urDn?9_Bdz(KFvO!G7h=Xma&7xR#xtw|sruIQnlU^U=O>RHu9B z#!+0lHrzYs@Nc6CpSzF#=lzw1u5DRUdwyYMxn=`tq_lR;@;G8dxJ5?fz%?HyFDL#o`bl(q#X@}j+fhgx#>q}DVsjU({^;M&5!3BNwN93`I<4lxu>*JuU%&> zd6U?vkuoF?6FTv>o!8PfrS%FO&N}&VIs3M0BQkljyoH=k zo;T`{?q##DdLiDpedQ$@S<7jH*|>wW+?=99+DqFl=!WtRBv3)-DdD8B^QY*)kcg^(mtr8!QkzGm(uQAkIiPS6ou9(f1R{a5HqymF zw2_?brm5WlPQm|;omtOzX_S#!`}3GLX%RWE`loz=03}dBzJA&)+wJtYEZX1B44g_E z4A>DeTZUaA37?Rul#+n^@q{1k!{+>?gLLoM2-#!vO~t(}Sx|lsb5t4}M48aP!kTA} zqN(|C6ipL*9p`PD<#%5>?S0QjX+7LPvk(W7&$SAR^z(1$=E)!LqZRfZ1?QsUIOnd#iRA2}+yaw3-ly>ZsF z9fQHl)dBP{t(Nncz3=9NlXXT1Fqdy`pfdS=bUA3xQSac93x;U9`?y&CCZ{*ts*E^@cxk{dv7KHv-ZLS$|9)nxD5~7d~Gq zOFM54l$dE790aZNB+*JBDd`bMNQK0^I?| z=_=1pncFwA9hw;Oqn~^n9!To-{W_Tjh?@I{B<|(?T_$IhgiAl!=E)8ZKe}AlkKwE4 z*}xexbNkL)KR88M^rKhiQb+KrA9>5-xW%>aKv$YSzO9nI%-zj;se@ZdUgiemnmGEw zHKjbqWp?C(QT9QzWOXYStStH*=w9>p=9~NGf@aAtKe}fyozsfL#DPO<-pBAr&BnR| zkJLPwxF_YU0hUXb9Mg@R#^9yz@y_Sx0jg|fTFs+^2C1yzKTVk$Ke}hJ>Hr_%e5;y^qvv-Sn z;lLYmUcgbsnPcqG~ssV;9xTn4pC2nY=`cje?f1%?C>7++ir4 zXKr9Cb`QAwxF+h7E~h`V%5QFdFXBrd0q?m;&-(f(>YLNYt$%k{@=mJAS%BfpM-EUp z^NH7&EA+_p?ADtrU%iYRQgY|EDO4orNO{WI_ERU$5Q%c%0dtwZcQ;tVd7ggC#s@&< zD6g+SbUnYjgE<|}OXcW5qRht!a3@P^Z(ZjAnM|t=h>jD>3rAzk*9Qi6qXJ5+I)Hqi|)&{&7wy;aIPKY`OJpT17F*>RJe&r z^%c|xI28Y4XV+7f1{`s7?E?Jz=yJG@Vj@1Hib)3kuuH)$3}Nglg&LMau6~c&H-`9q z|nz<&8?kPKrn#Qd=yNAV|`?+@2|RWR$aDptv~cBoAB2f8CET-@tCW5 z{@wobyXpjcOzE4uw=1)pe>lc;tZHhQ&pf?O7Vc%GLYO?C+yaDI<^eqAHZ!lRXKQjT zL88q1nR#1n@vU6P;7Rk&Hu%vjiNKq(R8WPi6|s*NEqQ=e`aV0q(8^|A%&`2C<#2^! zJGU3EU_FyXFMXB)_RUKEG?qg6Y`Eg}6W*p9)b)b}wev60y0ZvN3 zAX}JBCMz#ApO7@wyO$$+_sW`JsLPKdBMa}=W=zXt3u{_tEPEDkb%YPNlfoojWO`tE zo{{NWw#kk}$b;ltB)#p>?zCbYSW)s=2#VpOdmY;|^O?GZ{zIhxgFJojDbIURqrhyD zFA(P`Oba1Dc~ilaq>SBpvS-TiTzNrz>ZxUcVF;Y?Sbd}K6G@2s) z`FdFxgu=*P(lc9luAv-^Oz-TVdZ9LNnar-U7akcalK>F9xuE5VzJ`a8tJ}rGbKy6= z^WS$-r(MH7*qJVO*9%ALnR{os9ddd(B0#d=K?ve&Z+Tp4>fVZuv-Rk3PC6k1k9O zhGzB^?7T}aj1DQr!q~sY&uFis%cgM6Q3fT7OZWUYICOp;rO!zpzo{g$*0T z%FkD;9W+m>^1-b`?!FVI%)Brvl-0EJMc~50I`1=>5Z;rAgHCB5S@hNyW`WwDTTFe| zECXr6oBYr|x|R2vfT%ti{H&L^@$KXWz~+_fgO6-}zX*0ea%5rS z!tpwP?Ww}d-{V^5w%oW`6eHIYu?4+K#KSen-=67Hn6%|T%k+;Am(J~CDY)>{E@ZLa zT_6^WJa#6?l^0G{>0MKuC-RhA>4oOJOlEQ4zpd&*u4OsPwV&()buFdYD!;qs8gzv; z{EGszxU+E9CUn1#-gR<;?RRtgZi)T8=5W?CU7Uq3a+%#s7CqMO zW&PUG3kz7Bxb#L~fQMoWPl>WC? zwyvco%l&J`7Jp%v80GuoWpZJc$h-=6h%8i?AtJX2{_*8`34y!4guq=SCd;i+Ub2t= zGa9`d`sR?A_r4`5dvf>7CGf&yue?6WWRIdR`q8KMZ4_tni-cuu=l0B27+IgacD@?Z zFDxh7Z1yWC&Se*wS~BCb>}5OGxc*G{>UBA;QI`KIKIpfvI-ZW`vMo60!nTsf1IF|6 z`X~Y^GLYqa)~}#AIA54%O84A@ik70=mDBNi-U{nRwy`W&Alul<|ATS^8XDPvJ|W$g~EK4_v)A>j?Z$1(-OJZz*QXjF95<*WZi|qDBlxcB6zFCRr?zcbsxCnhobE&#PnrBTkvWbL(CaYQog-Zo&4r z2G^1o*ByU8|1%nQ71nIvEgv}@f1g1r7gn2{A6Kc%tT1n;>y-{>lYB4$AY*=hLf6bD zd8bchQ~BsoCL77@%Hv&(0{|)&AcGmfuUSr>{5*R@URYAf*Skn{(_z?{YwE&s((;7> zY3NGxMwQW#buQ1AWtq!Am`}N(O#!Wb^vFiIYZ>G6_+u}X2F;z#5f|2z{QY_hYn-dx zi07JRF|1uiXO-ZpizIJvneCn3AumiP`QN)3wJ$JvN?&%tE4gMl$*0h)s^JUNoATD+H^|ymSAU<0v&0_1lh&+{Wqm(D=|9@0xZ$3lbJtlN&gSS@|NgCNGyAnNWFd z@9Khk5k0eW`+xJF#h~p-u9He?M6l%b1M@(hkG-n42O%J(eekf&?OV4T4co!I2b;UA z?sM<3(LceykmF5{H%|MbVf<21iF z8<#FD7MUCGTl4{lk|@2s#VUW#A9cj}W7EBejjbPyVgME_0>xoz^GKR|ED@0*ZcJ}9geuB^2_;3SrUdUnFm zGYhS!m!tF4n28JLzH-hVPl8Cy%WGI;c|MOvI#`U)kF4s8;~89u2z!CO)iU=xA4cvF zoyIp(ni|^C1w4!_{Kg8eBeRqB-d=S_x45%hAXw$T0f&E;=PQSa-up*+Vu)9%Z$AlG zY03;#`U>&tdtA&h2Dx7z&%)+_kCk_Vp=0INNM!zKNSrqpRK{_cX7eM9!}YzhI@sP@ zy`nFqfR@Q(-b_gV9Cy%R<3>h80e$Q5rpx7Uy$0Qrf&}zVf+^^eTo<~q+#V*y26^(?g@PQp^`rO5 z>%#N>g@%2Cig-vfW-Z??zC zbiM|G&aefbM_Kp?wr{1rlRc#R(>)=>y=+lyWx`-vNEbsCWLX__S#CYhi`yoh4kVC0 z?=%Z>=;iYa8wz?Q;RN(aN(In2DKPsJDcIH_`PRmctYQH@6AK1ims=l6oeDDh5OhHQ z5!l)ySU_hn9W;KI>z}92H~iajch@Z235gNuF*Z3n`>72mdIr!vsRcl%YbwZ9R%G+g8LVDN{vWz{^$R@R=uniqN{X$kbseI0LI3((c)ws;1h zy-Bt#DxsiqVuM6)`S)$t`fi4a?nrDysd=Z2YxlzU5S+1c14^7e=(jLBgi~b3GEQL(hLoPk zT?8ORSCq9D>CHJ9_bD?2AF#Ym?y7Ao2;vo+wAN>7;vE7SQ=8hj0|ke7Q!!F7n{)w~U_eVG61iPVwaKk5St1Xdafo2K21$ zorNbM{vjV%Gm`vJw4E8D7UY|*AfS8MHBjlFQr*f77drjiwJq-6wC;9g=d*-Mfv#P} z?d~lFr#`>sh5}^#d^FDU=1l{I{>*b%_mY2ifNe6a@Ivd;<% zdXbbSQg)UP>N;PKr|6!Wbo~JWAF?32o?iCFdS+qY7WnXHdgsxEwIEMDy#2URC>X8x z$-CUF1^M+h%RXA|&*TBFvNWe>h=LzIcHZ^KlABlFno{7KlLhFV^phPv#L8w0h#t_R z91j3V%yQz|enISm^vK7>+V!k6eg0DlM)KGJee1qmaZlmwLGH@S0kHvPI`1sgQLICt zZ`mu6U6+?m1JT?0aj(DI^>%MCc;)dfi)mLm4Z#EDvEgy#=Dbx~u-}zbDWL0gZDZo) zg_{9%`?GbcUc7fA@vHuSP>HE3elpKOmP%bwj?m zTx~FK+&4dNW%z!QV0}FP6>=tzAke$4)je*RyZNVUvlqr?$YJGqT}oScqCu}GFa2%! zYPr5O%kjUfWQ9nIJa6mNw;lY{lE{K?|H|WDq=Q{TWdpR^P*czV*_pXuCci(>tL$@AzK={-c?i1o^24lL2Z;g74cx1Ackgn4 zgEGDRu5LBpm}P+gHn!56Q~!SI*upxwN_Dd=)O(6}0Nwk}#)_CCd!2|By^fXBRq)n4|0k$kXd$p5kyypXOx*oOk5t^k--Q+-|{vyQYxtc z=%?&u3y8~YDF^fmkiEP^0GgKv0y`u(X4j_fUAQ_jfZW_Oti#O4-y*ramf<6}=4Mab z{vsSLFAU(+<*{gkdxtohG`%dAnWeV zZ7}6j{s|15EjJoIUb&S&CU-M^%ANc*i0~)>!a{>f!OY6V7YT9mSxUUO-0D-zWiP_c z^7d-=cJU&x>@97AwWmxxBE`~?g-EeJa?j7u=$${V6ZJ!RCxx$Vz*Seb9yEe zoE)$ID}YRsxn?gpC_%Tpbz!r8>+_M1E5?)MKfb$g)n0YXZ!egN{iWZx5}kv5>Viak z*<1Pu?1VhEh%igy@oQG#GOqAVFLVxg1bwsq>_v!K`9Vd%MnTp9y%tiI8vxtWEiW7< z)cy)?@?ZJU5S2=k%od!7briMHi$Jo{q*0WHFQDM_a)oiYzvY*=%=0WP*#g7z@8>B! zmW%R7_hNo~VH?g&&*Hvz?x1mz+yI;rWuXE7IsbF#hyl>>a?UkCX?;t<%uYloI2qjz z1yGgcN^ceUVdJfID+gV-`%Z2pEp|C*~vfMXdW6VohASyR2YX9JACupURKt>sj6} z$v3NBUYH=WcrY#GZ{&g;EdqKaJY~?;>j~Hj@}J)%OGqsWvLnL_t7GYIhRy+*-IITG zFHSY@>?89zK&)l9I!7J6S*~h`0?PlIv%b7@`ezi}vTR@>%&fp5%<}tt{GoS|JZDD6 z0a=_7-gzn~nWhLTFO&-zqHcPr9?I<8zEdw?u*=OtzhxVkoi3B*l!TG4aAQR6)arH} zu3IGsz?bFcD~G^=ta3ZR%kqf`quwdcGm0!|0Be^QcDc^Mtk-)fxP_JfG333-zT54 zy^pM2C9btsVbs8HYvud%=ld#>5)BS`MT6v1H{U6$3p46w0e1aSJOTf$KCegUI;Rdd z@V9ewuPg?14gS&fMhK&DssGk{GyvnWC(f^66eWX2iH-8dRVEnbpv)c!mgUa2?>3); zmY)}H2s3hKH`^j~S1u^p+x_ZT9A>5e(NE4sf`Xp&d7@xcv1q^5ao~mNxR56&;X^@L z)4M4pt>x+g{gewWBHc!LzxKF|!jR4GT%NDO{&ufY7wpb?e0mkVfqFN}^H~I)-K#bZ zcIe!i5}X417QO0rFvs0U7AO4|X6k$vz)XGf*o=A@?@`1Q*r{{dM|L%O_c(t(E{@^I zuPY0E=Sa<`?A`r`8v@`jZw^HGmCnrd=XqTx^OU^|e8Bwn`tx^Xr26Pyj-_29UqG*V z!#BHku3)?K=jB#7O7YyeEF;Bx=VNUBRNZ+4N8*xx3aj;uC_z)L>;Vt20F7KfNDVrS z@PlN}GkF{~^S&?XY~g>;A1-`$U4`cln?0wBSjV8KbA_jBC(o%K>n%B5zjqkS>BvJ3FQ0damyZZKf32tc>#Hl$I{YS zmG_IW?^ge5WI|DnxV}k0nH@#0k;-!jrn z)beZWnk4HwxzLiWn+wXayloU)$!)c9a52lg__ksY|Iw#bceB0zwLrqWju1(hWqX7Y z<~@&4!g5yKUT)~O7ygJy!&?0=msX23%*`K)grT>}kAAX`){Dr)nI{*ahq<|<>g;c| zRU#BIpKO3a+2wf&{CI&CQbscZiFnCIsAAqI2vyA0&FaYVUUO3_1yE3wKg>E{fAo29 zuqb~x|FZgy`Uv-=ec^9WW^cW9cyfS0$X<2paKC6-L368p2<{hUFRkKq{hB*Q{@k&^ zEhPu&R?Gz!LZ6ohykYa|`oneMe^K`Kk;B{}RYgk+O3q|y!xcU_0) z4;MJM4)m4Fa^GCn_bpAiMR$L1xv<^p+WuOQV(_PAs_0p$ex$ri}= zv~uh=cw)3d7hi^Ep@c~^Zsv-SKgij0Ko-qULuA`1&x>r^5GrCHSr@>s0eoOSCmDV`qfDe;^Q z{+zw%&y|E^+KsOP9=Yew&s#ftdZ|5UG3-d4RyK@h8!!NL&_z4;qkH{&)Q$qJDzAyV z{(QdcEZ>uLM-9Frc_v=@TpJr}z)pVC`S2@vi>KAEp!jw)IFA&v^c|ieJCn7qa0Kc3 zZ*NhAHJ~r2n?AD4DZ{Smb{ZTTPmqi4tUjCjTm6oewx^AOcQa*uhIjpe3lv1A;_wNQv!p&smNH82^ZoG=WcY~t8<=1;bglMaH zEH!B6leFFtUzC^Hnt!UB#e~?FrJKkV6yQnFyR3$_>S{4vdG0-22lDp?4juH!y5a_9 zbs3IR&gFF~I|ja3Ufobl=i|e|k4~nGQ*wi*IahaQoja4e^Kk#p%A1ars0fV#La9lnxXpin%UfRm24U7SeM`J^+clQ6LD`zw4FX>>yV_OUFcho2 zVa^k&sxIluQ4mg%lsU-ZoKJkH^sSFxnDgO|!C}axnI>96uIdI= zoZ0!UzU+n-n`Jap=oGrd1{=O>vWjWk1K8``Um(^|IF1dbOThekvcuOmE zmA0WjDbu&hfnZosdGz+l1_497%Ll?et|RAmxt0H#jwE;fdM38b!T)nuLJ3kwtEfQ? z^(^yi=s|Y*zHBByDCOe>2uXjQ@4PrVqDWfeHU@%}I$$VB>GbbVUZm;i2osr^JVle- zEl#8-x&_ejApO(^x0Dj08*Wj1^8Z_jS_F=d*p(^$4frR2-;3Q2z%M1L(U4zyZf^n4 zFldtUyHQND2JVq|i=koU+ToH@hPPmAz$I3y-k0Q)Rnq`9$boeIsdoKN6+&(v;4xZm zz$zX`-I6F}dKXLw#P*fxED7AZC2-)aWs`jVJZ^QgZ`sT6-(BrPk?L=aW$zY+u`-=C zUp?{=k@F$SA{zz}C6ODCn2NMl5I2zL25|#f?*&)?#HirfpBW=u`^)2|sDsV1z{NVx z&0C<$%u&A;y60fu{#GfaTNb2Dt}?Q3MH7Pycx_zW#c#*}20jJf>de*P*_?!GIyUF( zEWD}|jI3pVk8Rf2z`-@AF6-uaJ;DyzE&e0_f4pTGLNQPp0Qmaye%8U8(_@)w&l-0g zc6UByFlX&8PP8&NkZ^MKbJW&C=FeR8o%_%KPZ3h#Xg+0@C0X|kbPF?2*BYgJ>y-AE zm@W9Mcj*F177H<*F)~@B56pF;JRjK{VFv87CC{IAj0;D8|C}<^H4F>ZuB;j`Yggv4 zFfX;-oV)76xWyU;k9*46RD77GKaVW5<>`KB`sMn(L~=v1SvXcJ7&oShO!LGoj=1NS z*LS&Ghd8N$2H3Ti`EuesWOo@lmn#%mUU>}RC ze6`ZN)$7a`RU~v0g_$BMD$4|I6`2GvQTb$QmEE-Mhj3$C5MG{tzRT?v*XjBdl)3QplUdbA~+iTrdmrAUJfHj~*`U zq>5{zahd!v(#hqf@d*tsSV7nWOeu7FIWutvu6n*O{NUj@AlI#7nwfK6>5u zy-EoPTgqGjVM`~sZteQ|?=;De_fsn0CG4YH#8R0E#B!Gp3ZQF8I;z~aQ`-*Lue|G# zjjD|8DH0w4FH37r&a7suKtj-7q>EEb??pw_E!R}8?$&EjH!&mqe|*Vo59z0_V}we* znJh}6Zjn++kJ*8M*?NBCRSz~r^kEUJkKfxd|+DUr8|1vh@<9NML~{C#y(Y^3$vGXL`9X>RFC^^QBj#J z{vUn7sdQ$#u(dJ&w60=ScBGriLpA>leF-q^Fh}KoFX3Y{Vyq8KF_C9#jdI{xuBqIa zRlH5avs^vc0b!YI+pW&){?j*)4?Bw^duDwfJ1q~@Idxr}TNv=DvBrJe>gCyyEGlzB zL#fQ;b59Yur*E}A59y*`{m~_K=tpPQ%1+qIOt12LizzGBWn_Xrl?~^Z_WMT`|KJYP z%8{>nut>|0yGSEOx#t%O=RvNiyl??Dna{gfZJ|H9ZsXYtpP7GzXy8(o>PmiN&@+ca z{^;V?+AAt$HyFx7x3V;+slRS6s2VERK1XivY(<@jsI)RWGkc(QM5&e9R-IcMsIwH@ z96^T@Sa$Kw>0E!=wp=!@A=QmJPZ1)=Q85%GH8{ELRG9SGEH@v%LNm1m2DyyexGf2ybPw9(pj9&+>V3 z-Tl$GEZ)^38xxz;3bsf`OkSRy1(BdrS+1?^>W7L>bgQF^7tt<29VmP&I{Vf!|x z$B@`^2cf1cH1y56{$4y$I^z7w<6V?ni1XWpzV)*7;|5y_`bqk!GXV2I?!l-E@Ktf6 zIsye}dB5Ogc0>xkyS%W=?GyeAnViBdUyUS;Ddl-iztNE$Ewk@cf?;rBAaB^uOZqJ_ zRvpREicGqoc_=G()gP_`z1}^2nxynUaezO%mG$)Fer3AA>`HB`aQn4){k*VZ1PNvZ z*E+3kz8a0v;aO4I4nuM7J4|$wucioZE95O^u07m= z;%%fWhEhjBTITC}lx=PiX}Njh6u!1Af_+B_TAm0?DwnH=8X*6E_CN0z;MTqiz*M&o zwA|h5cZggOlE@E-ujJDNJ<3(w{82Lbr?=IksPA26I6$ptk!omrLmXa4C+bq4v-#RWR`c1XK`k3t$wO+DG+;f z8Q?lVs8_1~KGGCWhk}^F)R_A!zdHN!C*%(buVw!pe2j}>8p+?U4rQzHlCFlgyW9iW z+{B6G1Z_yj-&2bt~%Kh0aov-6hNW%EzC^0O?AepFt1ueTo4+E@RnJzGc!#pd}z8~*x1jRWozZ(0NkRR_Tc_2-vtOPUWQZo$ED7WxWVy%H7i=CTn zsPg3tXdrSMO#I0sZ%TqZE*^OCunp^}OAnWf(yLYQIev7B>Kbp2!5;>|k%w(Rbt3oQ zwYIaWeY^&NT?%fUhvQi%UalqZ{j%L|hVD`0%51*vx1Z zn0~;kpylTMt{u0$Uv6!%2d)0CaUiL-+&XNsCpW)b_D8FM4+A)>Wi)odAQ*5H$kijz zxzN3MLXK9!C5C~l=D9yPvpncqE4)vc{M+m2x7=w)D+oM4vaTdtGE(E?`GtH%8*tdmUJb*rQcH!|X=L=8$#wK5 z4t6cS#V}~pyqMwBlBcs555xhtgjVPhCo+10!W+FR7)IyLLl|)*U7Xy9*%x#5)#-io z5;i<6TV*1rEL20CgL`4FeHKW^0V7eVy*l8)^hq1ie%RVw^brHL_%i#u|Dpe^j-#7` zS&|2^MRSISVaE47dgqqj-apO1y-xitZVv;np*IgtHSi7GB}#SK;08QQUNkJT=NNw^ zU5L_|%Z%6EZcT+aAVrp^eSXxE#!5H%#67; z@9)F;enA*Z+2h7%a_Axw_qOg_xgoU6NjTh>(G49hkwt}>Hl+02Jh!?vtwW0riQ1IV6P zYK7T0|9UnhqGx>UfYml%$N*fvKX;D-t821)4VYQ;DuWp{|8A6^iD72ae00x|J%t94 zJ9F*xDYeZKay`t5nLD%UJ!G!327x-TKW;EftnZjL{$LTA|jVK%K+o>%3D*|hTf z7~)V`Gcaq-LKi#GfElYaU`hGIB?+rlnZKG)X&@(HSwKh%n5)|*L}|cEm5)=Hp<14f z{ilEDE&CNQx~)7vwSCuPB@DiAteR4CnBl36hehS)7UBdhP5L8mdfLEC_1gY}VKIRJ znAa!L2JS*vR&IF%XQoTi%z-?DS>LuDA!l29_5t%%&Ob1AMJOAF51AL;uIY*f;2{ee zK%j8$ag%DryweAwhEIN45D5m%VOhR5xW_Vptzb(G1QquzaBl|5LM3oWmnhAFpyNEC zhUkz-$Z+}dAIxK}{Gq1&9!i-9(dd${hZf9eEgvKm*Kxp#midO6!LrN_J6L`ns-H3l za~E07G7RR83d>iS)dEW~0H#}+=#mSZsg4qBhG zgm$?FSkA#b0lS3q57^1_*QcrnU=+(@GK^yRq(j!h+`8(QH})z1odZU(LLx{y|Nbhi z-JRTG)lYBi3Wqo>qhO(DU9bq$&1AXI?ve{_Y$^PmJ`(Z?A~Q|_PaFu4&s{xF@d^LY z#Y27|U_J}oK!)V!v^Ytgkri>>4} z9WW{8$zJs?e2N3hk1YOm0|v)@mIKV7w0)gA+K|OF&1hryfEi|y%&n`*8pru_)dwVN zQQ!lV^^^(cI0yp9WBe@^xX&Kx^H(Ww+eNfccOmHiLLrnJ!xhhSxl%Kwr&U<~}7k(g4Ck z%VgQ!hWC*71K?5f0tOyx{<}Hik6cg{vA{#kMxWbia)NOye*ymKEcF#N_O&b%xdDGJ z1i(A3&#TVkmJBDu@JzEs2yRgC7uhfXP@4CQnWA%pMzOx!dO5x|nc@ImY3}SOK9A;n zK9gnE;4AXr&B`tfzM_0zeEo-IcP-D0?(A0XV#!_0<6hscN>E^hwtOhxEscsncl^kw zSOkD|G0N+IX6DB&^2q|Qi`+U`^>cHM)K9IBq9(i}`nn0oUEZ-#o9@Cj(;afUmc0J?a~ z>&4A#0!A|l3G=BLDHNsPs4){b6>qM-XZ`yGXlC+9m``zJok&;OOXWA4f+qYAj7#>dJJHi|1Q$n5Ly%&1A98PB^f%qz0OX_mRosOh4hk zlHYFf)p|^YGR6K)+XSGaU5IOdKv-A^@y1H<}A7tdmWw?Q2kp}~?70LHx!u=ypM~eXT%i3GH4$f9m8&AhZ{pjMa zJApfqbWXEXxczB35l^P!44z-8&gDP4WMiF%4UvCPlHg9}t@`l=bKRMa6!G>~q^$&# zctF`YdU%etlCf>V-=ho^fbMfof3oH&bjzlk*$NKoWHQ`b->MANfFJVzanwC|Bnp(w zgonl|be7vE95&uw>MLrT*~;B?TAtk8o#JCU+qq?MfYOkEe#&cHUx%MXF5%PxY$D{5p2kd0L+}TU^uL);}TsdM7PN}VgC(mB9&P;em zWZ~4H1@iZ|igX4okiG{}K+j~)Hu-58Q}gT94`-V1VR>FsLC;ZO$R_+BGWQ$RR`{dy zb#}u2AwMm-gC`tUM*deddrx!L$Yd3b5yM~Um6gV`#`Mo&zN@+Iv&`$Lz?5@T(49GI z@Y}Q~{!A9s*9psZ9=KK1=Mz@soylH*zDhjR9Bb8SsTuJmEMi$+9Mz@gN3YVFQ?9P# z^!oNG5hc?+FIsuwPjgPa;F;Q_ya1WxDR1mLnzt;RS#h`~ZlrmORete6Y z;ao*=IkzPX*twvDs7?ST=RLM-K7eU~el63*<9k{nyL>s`t)7IiWcKnw84VaV^Cc3o zeYrXCCCFd*Vhf+!a)IX;fWVV07$q6Xk6t<0ZCb2eS{X1(miOnV{hh_QKKCD?Y1fMf zOpf*ODbuq{=DZ(Wb)^#~#oV3qDBs#O!}dI{dvux06w=)C>aZU>o6Z#dV|GSw2fyIe z;=T$bIp(M|uRBW{_!h$F6)|M4^NUi8hbzOEMqZzTbl0VgfqTE(fi!T-S_97+*$fS> z0FE%sRb-Zwr4SHQXXMhY<~3>u5QhCrS!ob^Wn>e)4XrXu@RxYZ=Smd8@FWC|?-UBY zh&|^w5O}n(BZL_+5cvJY`ydRQ4L3!}>f>L6gS4P(bj>~=O(Vkupx^^?4zLwvbaK$x%RjfqeWCD%@MoR_^V=Ewy2{h8b+C=^ z%hhb3Unvclum;9)u4bm|vk=qwb9#k2T&vxt;XK_Pcnw(cNVAQhoJKD}dY{Yp^}E}y zk;hRBEPnd9CU03V8d6AlPRVVwGTNJU2DWjI6I~y#$MS~rdcXBu`qEZuxQZOtBO!m+#U zIk3_N!o}w<$*8x0yW!Qvm?*+yXX^aCnz_y2FS%8i5A0dac-9^UwCbtM|gD{ zetsh1GONE@pnMDu>d9d@^5w4Ik9BN12)%iak9T(G$FKc-4tJS;`CM8%OYUqTk8;p# z{Mpvt(a%CX%*qt_3K`EnUy&cA+mcz%A^WhdETL)a#~x#IDQesn!J)VJ!vvQDS$lnB zTWikI+0(5xxA|FOZ$mGpqXa)gBq6u%0ECQ10&4wYyI7>(j1_@EKHm+f9ID!WgSlI9 z9(fL=m0=LT>Fw^^aCiH69|;Y{g6$-<*_1<3%VAvhHrCVotwyM26*V*X+!ycW<6tT_ z4G6Al3Qx1P&7p(f^6_!VaGMn9R+TlQSWEno{aW9zr|9ZapoDLDG$F7A+Z7(I64*cm-i z4O-g}EXJ@%!zEzs7i+U6)W7gnoKgdrusY%&d)|hFZ!Y^?Q!YSD$uNKkJK_Yk$Sy5F ztE_wQ@8Qck_O-n|V)@#vLsuz2F^#;EhfSchNT?xq4;u*NH{~$f<}l^m$7KMT;MXzh z`IRWNZ3Xu5T(Ki{d>{$CS=;Z{W?DuM`6=S>7>MDLm0bk}!n>Krkh6p^UvU|G+`4XK zleIP9$o#r_s_?_tF{~r~3=sV5<5GsO$+q$J5M7!*9*-ZB#;&1EYg$tFKA~@Ynk*uw ze`^5Bw4)=QpI;XPZT&-Cc2ezY_;#?793hRU`gL5ad-(o!>D@Rm)MJu-Z2OI^{V*mU zyX*7AzHdKPhwbjM1LN6FWeZHY-|mJ7X_t=OIuB?lPOPnq;W#38wXr}Y$)xtT->P8> zo6XK#zqxP`!mq}6CqKU)-fhP?bY&9AjTa!ei1NE7(;Q|2c)smBBirAFRB6#h0^NhC z_oGAnvf~V(jgmo(_aGXHIUOzJdLUsPSG8XEJ0w^6lzjnHZ_OLq2XB!UpZ34S)EQ?) z^pb>>3W$&d19o zZj&1T-+0=`0RZ3V_iw&`U0$=!9m&|OkvxuiYah$#gdGgpF7ub_9~1XjFusMy0;}<{ zQ;r4ckVHXysDufUjt3^gv4AHPuKX&n<r{ZLMmyTUbCt#zvWt&fj<4hX!J_zwmR{=PX ziywCTe7=6Ku*S|S$;`SA$fuPAH-mf%EDdwO);VS)dA2JOSvODv+IJAaJ(`a}9LL$P z1#nJ}Ba)9@!D(z7*VH40lhI0kq}#YTG-tL9Cu81n2g%UYnk;=E$;zf$8+NgjU^9(g zQkQZ2+{e#vJ7eIIEb*0Z`|)eqtpRYTmTm#}^&`QwT?0AlxYoHIEk~VXajWn3Bj;Xz zKmC$zeF?-C{{0Q{lRba^G;hY`Zu5~^CLF-SSwi2lo( za(lgdXDM*Pq4_geko=UI=F!_e4u7YMgdFGffpFR5^=hPEzP>!|${l>ayNbuQ)?Gt- z?`!Mx!ZyCsGFUE3JpBAPlQGtNms-QiUUm2-$wgr&Idb2r<2H-Chn#Q!0zT#!0B-)i z8pxNQUl)7qS^@vw^_}E!?@gc)LZIDN90dE@FQ2;B976n9LA)WTk`xa8PgN+Nl{{M$&&71 z#QD+9A*CPt`>S-2r}J^B@UcGU^L`HSR{iT;HBop1*^HdSyd})7Swn@3@I-z-*A`pr zn;#{1ssGWQfNw9p@9W>dK!0=$^|Aj$q5JJdbCZ@@-g?_(YUAH~8kS;8T8+7ABjHEb{=CcAbBuKfVrL zdH_pJ#>H`b?b$vtr(eH~TYWc_`>(zK$r&8a+ojb|i|>f>WqmVrw>I84%q(0?ck7H(Uk#fNjsJdXFr z6@a0qqhayy*Y6Uxl;MCZb*k-LgVd8;W8c3`a*(CgH4o$^tq$LxuHm{yE)5OgCs#$CAv9`ABIv@VLdtVN#gUBZd)5z}E zCgUn_XVyqQr2UvPc**%HULl4K`Bhe$*zMBuYpqjCCm9eXvdC%OJ@)!tj)RSX1zei` z2Ki$m3EcSFZaLsSz07O@3ub5Vgch?sABRPvG@a4*d7~@#LvY7wkYi5_G$6+$%^G!O z`rwv@O7!ZWvbTGv#ckZ1tHZeDTKKY=#(p-$UhZ#6K?yoOb?t-_l``oH3EejQevKCE@BwyuyEY>`;vvClkV?x@bJ?D=s^<+i>-NxHvN z+tP5gk9Qg%7I}~T9*MMMsMtQ_NnNKoWjdNigh0j3KHJ*|Gu+NuYw2uj{ za8hhZxH2b29T8UFn&QelQbydZc?dvDtIpUW8heIf(#R0?jQUub|HQ9{n4C}T5Tu9Eb9!s##UOw z&_eo!*Qz@{@OB5C@FGicq(L&ta%P|3p50F-)Rwwi@%K1Q(~<{dQ~yp=AT}M^=dC(; znQ74sBV*Co>53#OE`#y)8DXEz=+MYcet#v$@J0Z1rv6#jC!EqGDsU z(dgtwj+6H@K>X1Q) z?0We0gw$*ka`WMJ{%p- zhdnrfCN;jZ=*N|Pt=rZzKgf?C8?@A?KAO9E(l~2b3(rH7c6RG-ZRg{N&9;7dyck7j z08RNWvz8>UNgI|H!?sxYbr+v)wf7JK*wn73aZq~?xNqxrA7K};#`JJU=HK0hte$i? z&1q0ShaipvT!22E_1wyqPn z5O6Wo{lmV7MTn=e84xC%L^ZX?$R6%kMmHB&s91sDCXvjaZxy@o%2+HrTdO&WhWKu~>lav^3M^zbHG9 zbso+*ay_!|&-8U`ybJz|O`8bm97 zd`Rc-mf~(uMs{cL6z(q5xjb~cpTJ`AbC5KH0evKao^q2k2DlT+LzDD&Ln3;9KVLQe zZMpZZ$uqD=$k=YO9{@v=WAY4x0&i|+P~g0n0_@ZIQ(}P@-_^6f9k+n+AsZ{cU#6SZ z?P-Hh7G!)99C`ix8KmY<3cxDuEJ|s<^4t$ACM#L zK##S>y&w)N``piPY_G@N&FrSN0C^!l{b4O#3f!>phxPbY?~~*W3xfT7`wBB*X8}|~ z23LL_KzMeRE}%%vZ}%+#MYs*i{(d6L0A{5HHL6Tv%}9@?z~);}qEdyl_|#<`8wbEF zNW+B9v7po(+I#l;tL1DG$Fj5_;zRb>V+szb9$E*?ApAIG;F{JHcxy;Vu-bNWbw56D zpFb89Pz%nD-!Z-{t-YDPP3`5 z=CR)khvkAAaeX4mYR#SaA3i=ICa~@sHd71*6p85?w4g|o1L8~iGu|2L;*v@CtA$^@ zDH<1?FI^wR_m5i|ZOOs=a({l!tBvVCLq>T@Vzw=`jwT*2Xcfg|j`a;WM6?L_eCc!B z9LQTBFL|5gHr*$6*tUlrFH)s0heo4Fk)aJUl@}suX zVIj`l^-=cv9fcPl&|OjkC;o=E+V(mE+uv_pz%^7qL)&_sMYiBO?z^A#x!~#Pngsj$ zyWiT+fy)00uM0{}_lJCqZs8Pb&*$TAB{tHgq}0eZry~|{S+3>a=FnKKFOq7R#!`oR zH`={7HXm=dR$tbABNwdw+hZws)F5@M3pDn(HXe#l{r^G=V+S^Cn;J*I1op3evDy zS8!g-T*cSj`I0^Toq%V5UG0yvCbkW+#OLEC03Xm$*p43GrGm52U96e5Moje{&N4>I zT5baaP5fs*T1dqp-)*D1|ND@RD57oSgbW~`Rbe65L6?`Bb#0~`ltyWNSYuPf}G#+G3QP~?Pl z%>&0wC$L}ySf5RO!3faz$7kWH?Ph9_kWFt|0^1{?ud(e9h+CUwJ16Bh220}8qX?4C zmg6G!d2lXh@kO&OH?%y~)Ehdt)%D2#EaEssNXw4_?BZKq^b=hll*Z_}_ z+btS=8lE-Qn)!Yb+cnxf%bfNMj%@7=dq4RGV5g4s1NOXyOO)+&z%)^Ru#UAhZbOtH z4Vg&J56$T1(chcT-7l$GbAJNpRp1;*D3;_EZngKTZGfG`Hc_F zFV4sgvbjTq;>#iZnfx|!;LEgXE#0obW7GDIpeUP^?TQQv;!}X1&R7h-Ajw!}h|-ed z`>uT8--Id>EAr?DJvn7JR2RnPV29EIBN+kXT%ULQh1+g4useMs7oZMg05G0tc|pEF z;svwQlwT&_kJZ2Ue7XE#yTd?21f^ilUu6&-wtQh_QV6TbComkzr{3PiUi@5|7Ys%6 zc(twq{@@C*U>QAp{SDIY`g2*`ifpac__kdew^&^O%7N<6NK8AnU{yR7!(!^GamD7ZJDnt+S&8jBX|#?1IGFNxB`N6 z6H|dEt?S@iMqfW`j3Gm{CR?JhMEFp@Nt*yCX(^m-uQ^b&>~9Nh(1v2;d;osXNqB-A z^n22!{JwD)?0i8gqhUk@F|jq41Fe56_&V;NnJ|{QL4TX+Hct!9EB1B#1fJ6HdY0>t z9S_h0s%s=~4vbsS3*PyieK#B@seJ&bGZle`9IgJ$`{GzrOP@J`aZ2Mls1bmK9KY9jSgEe=4hoiM; zy%C8|S^;8Qw1&IP-ka16uk82JS1$lDzaudlxM_bT@CCQ*_cI?Z^R#w-iM4mTevkF< zkl-Gx|3tK@Rd-yVqhbl(%_AN4hJ;MoDEIg^r;!EcW}Q|1*e_m-BYy*9-cII=yUr7G z$%gy#8?WytfQhmF_Y<+9kb5_rmDQ4$A4iU_$=5wt0~^f96X(NzoQXbIlN+wfvT!_B z`8y)M{TeNIT06|P0Wiyb#VUV2ubpj}ZR+69pK?E+v3}Y2eYi^2{*HL!FE(^PuEMev zy@7eWV*l*W=WaG_++_OP&wRAJwmqHhL9x4y$_$m!BJH3Vm!mjCamaD{)W7y`k6APM ze8a6+8XmqJA!1jr2hP4d-)_3GoxK52tewoB?NF*NtA5Ar;DtD&MSJRAs%5_?`+!f zrD<#Loy}!_qg=CL`tc2j2ze>7sRee-NNVHPwowarN$bemf%;*?u- z{P3RkF=-$gzwWnW%?X|LYWBs>>tjdA#USmzqKC98uoWO|T|aR%Wo^e#3^o^@dQVG# zKjB93l6K2DC;hDNu(bY#e;W7B@p!Jy_S`Sz#CnUokTmmgvs`zAJ{&IG`ak3JewCk; z7q0y}mZ3E28{Xn6*nGd&y*t<(oR?RK8`j_JAu6^M0H*w19k)4~f2$6@=Gq@zc9yH# zP3hYT{L%#3ep{+;DRWqX+j}2=9u6P2quOVfHxAog_sQY!--!6IsRa14XR@@v;mmZ& z#6D$N=YM@CzR4~vkev9np`(A|@NVIHYZt-|u;%fdbg)_R-oZ&& zuD)Kz!!1MT|IgLC!rMejQ3fF$nP;A`1-U=m5WYv#QN+L^M-&y$|TjtB8 zZEaoXZv3rA^>|xb@MV&u%7<_4J4F-tGWCbKu;9z&18V=n5UwdOp0~`O{|3Dp-JVOp zdd^H{id*aX_uEc_Gn05K2XxG<<>m8!AF}0Xnf-J`m|zF^Jm+#Ms9I8m<1?>BWBUp2 zOS)MbHTCage?3Z;w+^6kN}baA_;Edzoz?4!ye6{(uFsuMtvBm_jLTtSk?JDr&i+mD{^BW%(o zpbBN9F`mBd{-|XIy2?Ar9L?9RcLy8O1X5v@*kRRI_Zj81!RKu~27sh~K_W9CLpe-X z?KlW^OEa=Ec_$igv_~SE5P%$felxaj;aC($w*QgdZ`Gw=S z@2NIe!E{@&&B}h6zpXFZU5ZrQxdCx@X9a+T4o%}bKw2ygo?&Bm+KnBz_8ZjV!=72D z-Tib=wNIXP9T2QZ=NcUF_jyWt+o1r#@caHT+J!D2s(`hS5onWkBh;{S;=Bl2Yannc z+@Qz*uYTCJuxV^d5ayw=t@6GxrU0F7&^WL2JYtOB0m|a}>@MhV`!l$#XWHWfsU6_l3gmH(yb5GWkIDYQJigWe#TE$-^O*Jx5hR1_P1?? zw0s^(V1IX4<*@Pn1$)`o`vnr<+Ym{`jqQJnKnzF0F@Niz6++d>_yU6xk1V1Vlf$QN;yf)YKy9bwjZeDh8w>+qb+XE_C2Hf$S)fY6v zvQ3D--{Z=FirBp_twBpUtzF23QuydDW?x)xF0=Z!1CK1$4{qQ~&xUJX(;pjn1Lip1 zzs;{(a3y_0tl)x5S@6lWRnMu8`fH3{5VNC|Mw>HG7$ zkuk{)z5Maxdw+g2oz3bR*UH6JW!Io_`S(WdLDvEBf#LFKv964Doxb_}2~2N)?iFZa z&;~w;Yrcwgb=HVJwJp`4TWYO7aFIU3yj)*E;}SpmDvBFlxa)}X3THsY)YumxpX{)% zAfOb*?AQlZy}}n?a7;_<@4C=RZ19?H{o&si29>K02tnEwAh$=YAFFylUsV2mj|lGh zJtOMW{_NtT2dsKXBr|L(Tz#}_$VJW*zev|BKiFtJ#R9u`E_4G&&j3f{d}mEK9_M13 zhz*1h-E*x$$L$k1F}I~8dC7p{0=eH-3Y;|p*>mvpfC_f37#`LeTLyFhJ&vKV1vrrR2A9T;4236KBy zf@B$^+6@LV@*+4FYd3gAjROOJ;C*>sod8Q&VH%g4hZ|STy3tr{{PN@)#_cUno3s~v zd_=IpUCqyz&MtPAS?0CtHoW1X?w3u{es|>2R4=fX3B5nsFRzmeXUix&S>16P&?Gsc zmUhEoy|`bTb>EGCcCp^b+_vAjiOg*>%-EWPfBOzgzJ1SF!Tj=D zrN{E89M=JNbzgFJzlN}^5X-;tp$AjdgnvgvJGlk+~5AM-#>36 z;EpdDif_YXL?S2dGrt1Y;+cQfhJXGH2YIUwSj_5n@Yes45MUL0Z2voaH+dVJ`xReq zyx5SNlVP4bGuCb{7LXSL;zR(Thhz8lJO7^{h-3rdMEl)*Z+-=iGs~eG*GOes z5YYij`?mQ1P1(W08jcsvlK}An5=)HNBS63pUe@P2ac=2mHhYbiy#N;A(MdL5FG`$q zJ#WlSwE>$~gfz*<(&Xv1v3=W2%~{`h*bD}g=f`(c@X`-$OQd%mCjtGk5pCts`>3Va z$fM_aN9%ynoPKn9+ieAa({0}W+~$irWtZ!MPr5qT*RYRozrShe!wT4gY-OqSN*Lko zHgWRQcKL+0=3GM;w^l&>v(<*9UusbfC*sX#7+yejT*vxtdHKA(tPpHUVH-xvm4)jE zF#wu9lTzXHFMwM+&HB|{P-sRJfKQ%v4`BeV46)O;f6wcOUs$fRo2xqe5cfa;@6Q1DX9(WB%Ue8ML9lkiP zG{e99)t*`Xb40Y84afH90=D7T?xGj}zLy-%FKi4Y+~}TXdlB6q8prO>tqAl#6hWdl2a~ebytvUO@UB_hj$|K);dF<_!895)Q!tI{Shiyhw$c99BTS>x8rtfB zX|#Bhm5q*DFt{NsvzbsWZGo>FOwRqiZYGmuV&7U0A+!0u<4oA84NIwZi+vq3K?&Ps zdGISmqGu`P%QFDT>~*)gnUOZ^p7J%dx*-raZk&z#@c>1$Z~W-195C@}o$IE=_x-lZ z&+Qu-Yf)JnmQH7))#!F%&5d+;C9|0C{ruo<-vo?xn`T%(6+vL~$i9Jn+&92ruR-2` ztZF|c3ZN|@dmDo3Q&#r{q9S%A6 z`vO;S4exdXM{KC~^&+J974#EZ_w_v|N7@QlxPSMX>xnPx0%+mi8@5r20k*$j8+Bi| zZH7@c%#I5fM&q3XhEWgZwpsj%M4nB;$l*SpHiz!!yGfO+9I|hXmz&1wauow_lCXLz z%u`BrqAP>)}{xh2?bYK zUCX`awf2@A{_I`@NPS`F9nu%ImoK~ZmKQ4+J$n!swtElSyW2I-#+~-t;>H2?l}tE9 zZo@F2kqv`o;DoSO3IdR1y^-zqDVQ|$xK#$2yDtpFao`HBlyl`jZntx;QXKyy_M|>Y zn;%^~w#4|V*)rL)ZREK2|8BI$8d6zip(-52Li#3%GU{A4rBz<8FM{zd7&hJRY~({X zL)VXibU$pO4Kt;@`t4&#!uS9f_6Z=DR((yjuMNYbW{r=Ze*&MiP!o^Tvg(^JpJI=< zcAXP!B%33tP8<2-nLDY&KV5pe$)_O?aZlQ|f*ta~w*JU@k4w^!F7{gnW|({-KR;T0 z(1OzT@xZ`kjLVFa9wuy$LlzjJb>l)@8xsJ4j;?8i6%6;Ev}p&l#RHAnuvvyI5F1uY zPc+K^&lT=K&I|rvAN$D$U15p*`}#XtW%K%K+qlmge#eI$z;Bo-1op`jme_Ky3NC?l z4T5Y5Jd8cLiVe)V@kv~B>l(9Ff!|*#)*;!zGq-M-J6#!K)$KdZ)0%_8f_L~LfJVEI zjo;&9I2-By)$GgmxG!FOExyM7FRab{6ScstaYrlG+yl3z4{%U^>)g4KzZ}bRqnE5R z$IT|%+z-s|_qjt`=nK6)Fop&Q=>ucvc{ZB^V`zQhf#-V(V6k7%ce8)sj`drZo@%j? zba!o>y$6=g`9l5=Y@P0OLHb%+`M6tJ4d?N|&?&%yV{L_AV&4<>d=7eJH`(*m2b*kN zz4>0PvMTjw+4imKIr~gwc7V_nFe%Sh-CJzg-xu@7SiynKQ%j5;zfM%0e>Y%Xs<=w>#F&j^;Y9+(vHz!#<0m%H`5e^CHuj+n z)BY~}`{HQxAN%!L)h(U3Gq%)4nm%kY`l=ZPSnN;9<&$a@`I2k87qu@ ziJ=>5NAs!nv3m6+5IGJaoE)RiDu=I>=a)6w!z65xAn1v5yrH!pAcINyw@BYD@mbrK zTe1g-W?gp*tNkYcD@5k-@#{X#kz4QXXq{OzM6~=!mzM^~ecdIkFZ=Vq?c1LF(>Txv#1xbID6ZJt(PrM*xhA#;lJxb{#wWS-IsQ9)evf6Bik=*-6DO% zYHeRvkBd`d`V4M=r#>W`V_%1MY`x_OtNLDHUdIC`H?rLXiTvB8i(afTO4zFP2y%o) zGaPf#Sa*F<-TM1pia2TGIzd&Nl^gY~Nu1ZItXf~@jdHM~z*0zv!&!av4uuW0N7)>9 zZ91s?XQbuedw%%G5=_|t#vXwa_d;2XJg?vDx^^1115VA4)Q2o9&Z!r5V{>usi{Hb= zwVR_0+1n6}Um)YDj=I6~3D)@MNq(v)SLf*q__+Qw1E*f)D~~f6-}P)J(sH7>MA$4lb*gfe)j2dgEX9d);_LVF`w43Q`&l&Kq^U3fn~x}yS508gX_Xg zZFt)A(X|iH77uB_?47{EVPAK?X>%}LD`HBJW7c#x$Xfy6YoCMCf%&}1)Y9z>zhl3D z&-!#=QRg95xW1Q%@@y`Pb&4+e(9^uy=k^HL496h! zo}bSFhF*a0J}{_z@F!nC>B<8Wx@(l}ePqp(w#|BTkt7Zm^?5E3XdX=B0t&MM1uULm z@J;ZCiQHA-)#wYdZzqqXR(UFf1MoSC(l&v;dX5i@0R83$x8?%xt-BAieGltg@d3r2 z=r=1sB|Y3z$tKuL&_W=#9>WB!7TeMWQd@mciw8(;CGdD4v9;&=bb!PrErboo@DszB zD}dNu%+2XHtegA{258R#L|UFr>dd;nfyNGDUk*{@2NvcUu3>;qlgw(13pV277bmL# zwwD**agb8Q!w>9(`$}xKe7Yl#@>sHzDNhajqdoM&qz+)OxqF~B=iIZ_&hDPnt;dpH zzkwgFJ%v*50BFsH+HUj>VdLKpSyXJCfwZRZJu}fAq+{uCpn+T9} zsMJ658eltV2SVd61Fl+Fq@%h8ftR#V{dLPna>fPtH_i{#wP&0?2CK%Gt?u@WKsHM4 zhL_m4+PEk;*0JUg2Nu%&quooGm=RvfwJ3>^L`Ty~4rmBm&HutV*l_ z8%Aab;{jttpqvBnGdFTri|6oUzE(d3E&(vHgGl_oALQ5>_oBv2<$!(id!f1~K%Uw0 z1Bf$^YO)$vGA|#)ICCsezTkoY&m4fB$+6x(xTTFYu$>>NKs^a^ppR;^=IopK&SoDR zoF~Rq?c*jrv*z8b!RqgM>2d7&*gM{AosJ(`+2;% zLuw3-7G*YM!%&EjjV{t%Ja_4X>=rULnS_q8Zt-^$2@$rv-rTHf8MK!X6M5coVlmmW z;C8F6yUAu6bGIODUej#l!H>W}+PcwD&jj@i{0L;pxA%wVTrgPyA=n zhGSA0Lf5f;5_e%C0J}a#DtruN>sI9#3yJjgPu9r%_9eF&$N52K8yiAyiS^u852CZh z)2wN8#YBGxJ_pk1vGQ}ZAy&J|Q7sJha$n5Bd0YJ=lJJG=p&|M>e6OubxDhB%DMubY zCFMDD9&;54dmJ&;ihl)lzAK!QZg(AiEVy!)eg3xxpYiMID@?RX#5$-{bIJY>#jcj>pbIK%=u<+lASk6u1~V|`5gMa;7Uqw!?__uxScv?^!Uv7vQv zaOCI3pR&$OkEy2Ui8$x}LOTxJ0bCP7XZijvH#bNA2Y?`UhiD9_N;4w zU2M!2vCq=R+zze+T9=*lx=vId>+^HXh6+*9JU96I1>mekO^>?ex5|q# z=Koi|Fzpds1Gt}uQRAWm@n84(WygN<0nb0p=le~(WA%gE&=O?S3SO=U2$Zt(n5YCd1GmB1$1XEj{M&PR+kQ1a z0!1HKQxIGvcM`ibz*E3CxV=AK_FB^2bz3%6<7VnL<^;z8MQYgRhA$~2E|#&ez2oqJ zl=3ZdnXAE`o;NDrK6H~GZIW`T=LD@U+GJq!*I{ALF5hz>|GoT=HQxXLwrXEbS&sMa z5#8Vz$Yl`T&i2$ov>=?To#0Y4oBZ?NKIf*XGzYc=8@w=Qc=949S#FxFz*UvxcxHsx zF#Ui3%YXi_|Kq>@@Bib!{^Ni9-~a1>{MY~WAOCaw`~62L|NTGypa1he{%8NU{Kxw5 z|M}nk-~TM%CpVw+@9&!+O(FH8FhZay$rL8;K>@9m<=+Cnjsga7mY<|`te{Zh|2={pkT-DGR|&Q9xJrUjR=)u)h_M$50?lv-0mZ*-)C{3neVjl~z(b zFTpBB;RDTe#rj60uXFi#R(|Bh5pTBBPJe5LMNgq*St#4DT|;$x z=I_lqyW@&m5C{s)I9=$x3%Ul(N6^j3qH@5MC9d+ug@R$0{a?R6_8iE6BfY|<@_Rx( z>&7~G#{;=J>lN%D^x@k44W`kfh1hz~oo&|aTqpO+*J+;r{k_?!~9DORHUpyt4pRaN+7JO8)UH=&baDfj3pUx$M5fIxif_#|i`kSO^(_ zf=bZeLMtjthE~6s;!!|%daQm`;?{d}Wk7*P-1-AIb*>E_!pdwcza`o)7jxTSA&bmV zy9Wz!k>WyLjU`hXYFNW9k&Lzb<7gpS%&@KvZc@uBB3cIV2ie(d!^Iez4Y zjyhyl7DaV=ENH)EvO0(|T$)@XrlRHd+F$|Ag};8YpGXlRPbsUh3o)h8sDpybygofK zIK!2_hT0d6tp9#hZ!BN^jkE(~Eq=0nUL*NVZ`B>3*lKqK+FX^rZH?OZ>4Bs9@5L5` zr|rgc@`+x#XT1$l4uGlfoBd(>vQ=;_wy9v2mIev{!2c6GW=-k^n1z^gvqV4ahmeZK;(iO!Xa9Y>N5U%$~+*VpIA z(O@%I(XRg{M{f}n?AI~9(O&2^$f++j&6in2jc4;zKsZ#{akzCoC^WR7fRbp{!nXw9 zCwA-R$r_@Ic68-ZN0gJ)IckZ7Q+Yg{cp#~~&vY*Mr7l}jI1PxVZJQI4sH=x$z zl#%H|$K81RcaGhV5cpB-8H0!>IKNrvwTP-0ko`H>8r-qC#X8qJQieEE7r%M8F?SU7 z=n^y8&slG)^}s!U$cM*;v^Vh^1xJ!>;lVlNOV^8U*YJ~b&=`$ zPW!m9^wC!Mji!b(<1T`z3%gtoa|7G=4z6jtudSIAV+;{ZU zIeJ@!i*n=ia5~1;I<9KdI5F?Wui$wRsFSledM>~5+bj-6#zxE`F7c7m&ztmW=ndim zVFDWqTv%2Oivq)Mooh0FyGv89jv`GTO+TzVkBe^+~WP+#Z%#T_!nyrJIfzeB!X+B8pN7L2`8+ zE_|bSroiO|*MVM_GGttT0KA|F$FouDK+1LZ66OQH?Xb9T$m)?-T^x^x$r9M!udn0` z>+J_Foz?urTAWrSJa1q(m0%<&aTV6lD@59T;{%L(it+kvcg{OFOY0`Do}GP#BAJW6 zHI-cXMgzoLmY7(Q?Pe}e0n7$1wCj2vY*nC>wQ~6}s#K>G-|!z zfX#;DQs<^ZB&SxA#(!UIBA!tQ-i&vXbtSHkY768b??I5Xj-a9B_@*p+0H_|Pb_ z0Up-<|7=)x(c#g!s)^pPVPTQfS#Z(F%a2?CT~33*#wlb&F+ zh9@4=?a=}h6@1Srf>lD|X(v7WF3n2}q70|_J-fEt=Ug{T==s|x7Q@bM+C?xtDyXi` zpn3(`dyct;b;SAIs7sJicNDTUsOt-5GX8(GTM7>$=<7LrO-(q%WgTvGi`L^Yql4*O z;Nrn8h=9HEz=lzbYdXR+&nLu2}2B zXQ-Otng^YA)rCM03^iQ3Gz6wm%~`qEjuJTEliEVnD1#2R;-z$^m>%XNM~W4& zsvlh}D5kxx7Q^M^U`(U8X#aovE&LlQxO%W=G;C5I+x-nMX-~O>!I2WdtypsR_N3BMEN`Ady&Fp|eECtqvBB|697?n;D(jE{ zje^R8=|bUT6-64KW^AYwgX*S&PIV&lEP1k;@e)_qNnQ|8B74MC!6Xz(kz%PJN~9iV zD?gIhVTD-(eg&|GE4kffL)s1RWS#Becj^Bn39aiBZU5sExC)L2LpAgZAW}Kx*PY+& z94NS;(uecd`_&h#4ws>My(pz$7X{H5l1<+@64(xV?jF7tG6lN2(^}&TuF?JmSI!vf zmcjX>VCmM(^XXUMIVE@q{tAv?4b{l`X`Kv?-E`~I<~L^5y_;uGK^~m-_}Y)w>0dup z;J0cvY3`u=G_u8kUst2M*`C$38p^0%fPud?&>r>^9k>B4>PMF+Ht2cvFE(Lqv4wKj z#O1fy!ExQ6bn0bt*nZbx$3kZ_5%0sV)WtgX#lB@T_eEOTtQ5y3d(yOx5zp$_-YmEl z@2Mwl!aDZtcmgY}m)^~4m1(|QodY7z%5TX4t5um^| zaOA`VK|?&+8p#Vs$_mPj_~#dk(uJA17_@7Lct95f5pjj66S98$X;G@o-#+D*FNfPz zo%l(IC)kb(;)+J(kih7aGEM_?6FIU^)tMd7xPn+B7xvl8x_#kmpkz0PV8K_wn7HA$ z3Z9z|UunLB&7~g&H#?;UryX(7GTHE6+}z8t=+)I4`f6v2_hN1jp#5t8X*j#vY8vOO z-=qg08_^xjmP)AtP)=P(^^J>GbjVRH28f~xn?1H}c|+s2 zoGodx>iJzrm(E7+>I;XbA_9M;!)h%76OS> zhn`s1Uud(yz2(WgTahNYI$dPBGP`m?a1nV!;{-NKGW0zqY_W)<&hZ<1W=p#4{?cLQ zBEO3iKy-S}WYTU6Ry(Su#KImyFP(yGs)8L*`F?b}e*b!-dGb>Ay!j=VQwWRc!wd$! zwb2K~t@b=$I|sMBw+TOBSIPSBtHmOKBysQ!1V)HCd@8vbY0k0%ZjwDT%DAwyDzclW zUmKU-Q%-@|m1oGFs&)VA{QPd-6czY#QUmf~hFY}xcY8MHwcLrXg(JugVbEU|Lh;1e#-*Qp1jPAQ-0p+V<$s30`xVL*U(CQmnzf>IvFbI>GPL5T#ON7LY z&XVfPk$lOJE~zD^;-&!VQg=ZzRA60>xW9XGo8X|Z*ROSncf((SMp#P_c4T%%UscZR zLNEywxPSIi1;@k<=oneh{0=dA40H?IjYAAeGB3t$^Q*0S0fkTmC2^9x(k+_%9j4{I z!*LJOGS}zi3D>)8y^0!oZO!TkAaBmox%>*Yn=mw-{YXNFoZZf4i zZo}qf)IcvO_>%i}<+G9Atsp=t*sn^zur7zJ05M3#mp8w0x<@10?7?y>*^4|M1rBDV zCz>*QQa@N=C^Z{=VKQly$Ou+Ap)g{GM6xJ&VLW`p(=X8MSq51)j!@Nb)f}AQ(f0NE zEPBQ7ksPhj??*f9=y&OIf)MRP2Gh6_5$z*XsG}zao6*(P?%}yh-&m@lbB(}Ox@AjK z!SU74j*jBjUw!j(_^Ecg0|W1HFnlgKoU%=`NH);WOwTPvnIDEv`tnrDCop`#0saA@y)AfT>iBR3ozlphYL7GMH82Edjt6DL9V(zKBG;x&XIS z+IYTjJnCqPE;oM&Y4L=v51xxaK{;(8Dj}E{3!qJ9QzmDc-&Mm>Fn}f0)jxW|<9TQl zDD$RgqZ(kA?pI{?bC&1te^}tcN7VzarrxSyTk<;$Ek9A+(so22>4pmr0wAU;B8*1` zAXBA+{`ADuMMYvRjFMeFlWm?`Bo zPpM;0PuM|Mr~*4Bg&|G(@>@Ht-34Y!X(ZIOwN&u=E1OYT(B!Zk+is5aw?#SrTegZy z?lt#yN#@-M7_S0bqG$+HXN_GyVyT1b2^cor<=sBHKH0lE*Yf&~Rwh~hD%anYZe?W= z*XkaK>%rAfWZT8P$#pQpdgKzB3Un9k?8d%%RHXxfCFlkG{^;l6K2*?r`LiDgkSQVa z9!i!}L?R)Ke?dfpT}P%l3a6W>a92Bk*bNQ^6|yj&@OH&B&a5LG3Z4wGV+3Rc6qM^t zq9<+wRjQ|9%AicW^uV?|-Teqsr|D?mrbMiOdwubh>YQH>G{iy&Olq6gPuMI!9I))$Mn|5)iz*iFxq!-*X)gr|$zh32iOUA?nied-u(Y{hTai`N*Ft%hhJN!Y3Yqy_net$=FR()CWH zihHS|M?0%{SuE|F4qJiIVinXt6~dN-Za4V1vcO?yCu>wVGDLbd3JNBPh%5kH4NdPy z1?A?3C0!K;vTPYu!>^Djrt_3yA$)X42oGW_Ib-uogqrYeXES6Wq1^5Bk#6?arFo1q#c$I=_C;znBez{jyX zt|BalHJt7aks6odS&)|I_}t7IoUe<=Xn1)jc#z**dcd-fZPNHx?O$%L^a8yt(tfC@<5Rt2@@o}rmG+O~KlH|B66$}Ojt*Nms_i;fcRhiqvIlpAlH8fGAu>S^|5zK}571Lv^-5-*DvNz#5OkzAd%jG*^m> ztDNi6uN85w#IBJzj!R0@Yc&`1ZwDp|A=lamYmWWas)743{A*TUi`%#_%ao;3u9A z3;3K14rG)0!|9wS8tbf%t3@dVXe+$lw5A8#VYTZUbw?~<6dY~R$z=ld4eb}5+yv?y zjzrM|Ro+FPs(@0^!|WGJuIIE~8B$(O(H9_=M-((Z@*!6RH$-Lef$j&?&=lfM%PE|C z!sEHR9@viWGgNTgFLraZh7V?CM~9Y8*`mD{8qDE}E;V|%ukKe>;6dG5Ri3GPsuRL30apWe--DcEJ+mpx~yM)+${d zZ9R@EU9=0i1*`%>Mm9kS=^BxAFr7YBLD^G`gGby;XE%HevrOso^K8D>lEQDh8n+ zu4p`~wDh0ajYxH!S?t&|7Ep$qHxh-X?rb-1iu`Z-9qZ%hLM`Q|FdN>aP1UhzzVy0P zcYVXv1+1|PhgpjiS}Up_^o5@kB=6<$ssWVAEJ_-{ab`h=W@}vPFI+`BZux znvSIzH;7>An%VMw+;xt80qVIH)fn^m3@xn^fW6IF#}Oy5A}>6Mwj_e{YhYHE)@jag zd9cJzUpVsS*#bg2;R}v;x*V)egSSw zD|T!gFVJw!&w&KH3d&Xc@uRcJcux5F2_M)cao)Av%aVHdy7m>7xzP5|O?-8|;R)`<^MLNv zgP-58V7pr%yLrAFnaV1TPST?PyHBtF9_hp~gfFtY#xEXMD>gD!fPQJiasTX#Uuml3 zicl7@P|oir65mxS0tih0vZ}z>AdRtg8;WHM(~Fc~T3D;~S22)VgCM~Zt?-$@N6&9?5an%iML^b_Im19ALk)#Fnff-47 zaB?KtjT_<}8R0XUPOeg*jqd*Je4(77k XGZ+8#k z)HQIscOx+Zs^Nu6LT59&-=U8_;RXvvs8v{QN!hjE^JF_;-@Ulge>~QgR>SHDTSY-F6%bnr%^rGUh%2(^gW1quD~BflT6$nfqpCfK{8)0P z;sevei=A#B6~`7#2OQwt!@`AlJ>~Pu1D~Ywu;?JUiLy!C!9^s+AGzOG7X|=i<>765 zVqcgtR(d|&_I>&wPt)qoZG5gf2i4&1L%IyRD=&_?emyLa^(iB zCIPC`jNbs(qzF(x;c`?ztWsWUg&?RX81AOF^u*1x+1cpF5eK_HtAoZ?(o<}qH&!v_ zi$i^Svjj$*FKQhd;FZL7)zu{ll8UYNt?j}uzp-V4FZzG;VE$eG)UiEo1h5JabS4Nm zessGpmFXoLG7E8k4lihKb>v6R1@svkfOxhQn*7JV#H+Po1|B~Q#AyLZK-+rjq96DKh6EQYKJ2uzRM^kHmAIpV5}*K7zGb2t*#QJbgr(gXd1yRypaAwYD) zYX~wMG79Ml&po#}nwTwJXjpw&|fw3xgQ=MBQz%Z%?8#8&n z3EQp7wBt8`22bd4gKMxk(=WH1#iPOK9C>iFJP1Nd^^(a<3T{ttuq%7cO48e-A;~~t zXr|*6r>>o+8yGBT?mIB`1a1+ljR!^8idbyj+(O0!&=qA?8AzNOOd}H6M1hOO-=&XYC{mlBD~~#RHEGolni1}^P9XYy29Dr&g zY%qi>RE4OKbHD`K1D;8P5q7@y4->4y&GglE^IqzK>PL_MZ+DBLx;GS6mg`7;kl}yEdq+PKQMx z>jfs3e2BRc5jYa!JQ}h{XfpV}8=iGdu`Ci?nVWQ#hN7v02JjP8u6A;Y;|3*hJWC`I zuK<=yLZ%y4dh?QTKB4?}I6S_BU56WcUGbWaIGifydlszffxN77HL3lb9*!tQq2a9Q-m2`SlFM8@0U*3ejBRYl zUZH3sBliV25#1y_Nl-!hiW+Y=XJ24u)wqR~KGiK)q2=Ywg7ZaVL^G}biVN{nnG&Rd zH#2~o<5b`#m{0V*vo}@Y$ial*@836`b+M)z0n zjNQ!&id)_Y6V|`tL4$PS>o87uOuL>qp3Bn)qr+Um$VD-A_0hI(vhG- zk=MPkW!1IlTsgl2-?;Su?PkKLZzul>jub{ssLr$c zH^1w6&#{0<;C`omw-g!cZr6?s84+9bS8x#wm!6mx??_K5rk73w9abI(YSA~2x=uS@ zN0yBt1RmDuft8Cdtc%h*Ib*Ab;HVBGk@5?xO-re`31!^Bm!egxV)?1E_`r6D0j>9a z-R`CyXnwO{lc6a;5`tB74ex5?i^w|sC{%6&x#JV(i@Cy3P(1cRJK}i861rD(n4Y9< zQcsS{9@=GR2BECO5aqGYs&RV;FK@)T`NM4R%J<1xk{YgFKBd#8d8Ze@AM@tZX{jPF zP=T1KDLXpMRI;Jy12e@AcG#^bL@zzymsz4=cNnr6CaK6lr<$*_?C7zX*m=ztCEFn;^9aXq5 zo%2;-3zni)<8R5lO5n#ZZSm&*@v}e1DL)3zAq-i5BO~41+Bo@@=Ex=t59`2F4Ccrm zjiBNFg!Nw94Z|Xv1U#a`DA_8Pp_p%}0}D|A9^}QPdlcKy3o^jy+$o;6^YCyhL+IhG zZs>EL24Oh(00D_QkPw-^M5{=tIb8tmfDK#$h`$3R(Bb0wgfcPTaYG2C%(iUO(H)+8 zmkwyX;4|NWtT%#Etpiz)Qi6$vKiU<8tLlLS;oYn7x0S-98)_Xzlg(8J*t!}lTfJ6S zldDlx8tTP^0|<0-q_D{cd|V-x-XI4Cew?E6Dy!&6Cq?DaTTMR_;srYZ<0QB>He*~U z2i5@r*1=Tx;VB&IW{S05SGlVrV`Y0J9 zq+5{})`o_Q(-ddn6Rn0sR=xQ(sek%=`Hb5jy!dU-4b-gK-W(NEvq}YEZMJLw=n_HX%Kgw^cu0xg~D&3M42v3=v->!WXe? z;J?(@EkUcXW7}inJ11y6mI_ZIsJBRy6Cp6bT`EA!W#2VbeSMNFsBi10X3}NQDu7xk zVw-j-k%WcG%Scc`Y|^d*WkgY5!}A@Jr^9<&xHoDPBHu8Qh~;Q3f#?>jQlla)T|Rj# zFzZWIVE2#477tOEzmjut1MJ`)fJU58EBd4TtY=W`05IYVP#wR5?tqzk!@Y4-;nib{ z-i|}SYw7@UqF7PqC(89lu_JZ>Dp97y!Ecm{P^Lz}5I`=hWgW!uQ%p( z5}IrU9C)NN;ybved@``8#H;01bpSZxqV03o_Z?*p&|Yro@BFafT3n|(;Nn9QExX1P zV88vwR#`^TH23GGIoC=*!_8HyK@N~wJ^i~mVnsIx|81ldfWfn8z#k~yq(+zguPfq@ zzPMq9G~gh3I89brrYt~I_K!}B`zNfCfed_d<65f24Tsatn$fERfAN1er_&*P!1>30 zNo-i)>{FBo%6P1mJZWaY`A0T8uHEjQp`Y5+WU~82%67mre!vr`KZVMGBakdR+=7Pr zzzVrr;0NS43APBjY8e4pM=yTVk?fAmO=bar2gOf!Rte9c5ts)MA7TW~=r3Mcvojn( zVDTfK;+rv5qbsSeD_4g>HP8&e71!qtBw{yay=k=hiQfjMj-S`R(WOpxjqgA{KDQ5X zux^<2Ca;0FP)XCX+!us4zybH6m?C1pTS#C&Y{v2fP^)lxUP!W)zCAJfVZZK zR#Bv-rS5nbHiAaj`ZcQGLdiKsbymd1I%-p>J^4DkY7|Y`Rq*?QFmF2BQ2pvk4cGu! zf(+JGAK?yYKUt2Iw3MbD1sBwv%)?x51mL(?;HEN-MZ10tYI*`>0v#tyGv26 z+haX=u^waBi>0O~+^o$g?}5C0!KY#vV!_u_r7QaO4fC0i5r7Tdt{-AYPVoy3nFw5D z1Ph~ib<{uJs|Gw?94@}F;Mzxq3a1hpJxpH`22Lf!3+iywhG?L z3tO;m3UOmi6Q%`;vPJ@;#MbDxF3qal>%#E_u74FI%~45ngo8rb0i3&ORwgdEj*+2) zi)CnIKkb6cBgdG?#Qm1KI9rty$p1XgnWAsD&tr9$X!j>zl-g|9e95TFX*XKdX}Y-y z#TjRVew4Eb&9eU6*-k_H|Hft1zXIoNlV2^{jlU*$Ou+nWJGH73_aWnso6WYQ+t)4-EMD8(G(<{z^v;l6nu|D0gr^6=fHuLGcMra71nyh_J3 zjb#UD1;`O zPw?!u!}c&w#c#foc7kn7U1n0+oY%d1aWT#!;ha^L>%n6zcbXPZ0Q|=2r$H6-fHOtN zgdR|FOh(r0sU_O;>n#p9ULd;4%x>q?5|#j+Rg%x;b*`1cT;aI(w>3p z4AmgG^RcvYVkK>o!B4G&pvRZm=(Fws|Ct5E@lR{$3K6}UgB z#u5IYf<3Mr7^pU7)#M)E&?8H!$VcXo$4=4oAz|(eLjh9db9`lcBA@x`iHjA%zU+0EAsc!e6`umfM2vS0hOS?MCpIJ!*Yt?(Ps!BhQGSb0 zz)tgg7qWhk-k$E$M(|u9JRT-U3n`>cMu|_vbC)5kCw{fegqb*xWr&t&%XXCGnX~yy z^$eCeOA++#(TOVXREIj}0J*FKgCA*%En`-lh4gj8PN8;wmF5B0b_A^=y~{^T@`coM zlK3WRIhauOuwYEx?@q8_OclJR@v~Ll3N9*mERdfZU036xDr5kdL;p`Vw%FQR&*Iui zPxtmdY?JZ7^&}fBX%7)|A+uZwcsjoV?`9|IHpY+dU!j!H`oDszwM_TG1*3293jWda zI`lO_wYsb;|nEb)7(j-wq$^p;hN zLxtN?U$r{^3w?K1b$Wg}hP4RW&|rh)&S_`TX)l%E%PP>P*j%aEqYIc$EL zfy(Z;=46$0ugL}dyt|5Q7Pwnj(+eJGNFC3*hD$2+ml-Y<_&Ztfu!`8I?pCOx2f72> zZg#w1_rO7Vx^$;+0%Rxz0xw`y2RGyesA|Ds9(H56+as}7RvR~UJy&v5Bw`U3!SD81 z{|N`yYV!g<^BZ%x|Ceat;*F2p@=$ojudZh40;tZJ{N(a4bdK$klMLm-)m$@3P2sX6 zMO<>M(PMeR#5pkAaa1}NVUq{^C->`x$Xw0_^Rq1gJXh(>IofAMmb;+1A5WfNfOlT< zpg1hJ(BgWaJ0~2ZT}HKIVs+0qK!CW_%jdycopiZLWG4&GMJM4Kb-7}Utg<)P!4$Qj zIS&{gD~0@Ugy_U(b)j~(!){!}zb*Rsz?hzKA^J5&0xU$oYGs@7w@ism1B2-|R=-K1 znVor=T3bP1dSd#?W8`$daeB}!Xtk9Ja9Z}D5ef7L*{K&d{ zy0d4;btw7Pk`uct%uD557uW#S4~J&%i>13!nn6C%-&l3Wc8Ej z6TKb$>{AW*Dn^#D+Rd0ro^4?t9)!uU0UwcigZpne^5`z29S`$U9e#J>dO+X@Ie_VU z*Xr#Ww%Cu}-GxFuMeZmC53&*0-p1ST!tGenh`KhoD1A3BmmR5aUbrpK{Vtim0@uj% z3bAlGmZLi73z-{E5LedAxpVZy#ZK2)!Cg#{PGlp%-IFDYWWRXapGt<~wz66Cif;VI z^cW4Q=a*fl$;&jn>vN8z+O3wQjw^v8eLo{T29mMDYOlesT=3{{inO zL5mC&>Iq7e904abBv%XBL*>}Wx^5-8L4L`=)P@q`HSow(92S7f6Z|HXhg;+c4%$B&S!dnQ}`8>h{5oqtK50|jei&n|7{kBv)6s!y+xEFJn75bO9VG#wu*2S64#c!#7I1NZ@Qm@cW(P!Gl=H$|;(7`nS&R&^TlX<15So=3QeAYEa8zwV_%)(j8+fJC|Bz%S=j&E0w4 zAzG-%bLMHoU1KOEf^B)wgYkQ}3nWB6f3Ck1) zQ}Tax4F=Pu<9o8;cmyOD1zdt<`r?cso4PCU*wP)A$jHD*K6w8#dP# z;H5TPgcW0bQ~*n2u#j$;VUOO?XOG`w*z#I#r5sXNW#t*fN^8>?(-C*WE<5D|&pPY8 zDP!3Cx?F3(NdWiYnX*-d0x62R*4!B1*{bG=9e6rGfhpb4<|mtb2Y0S6C@A~WM{Y}< zCnpp=a6G>ykwG@H>D8x+*sZ6i)osc2bPM5Nb_Y(N-{6KqQd&^0l+~QGiXPX-$|{z7 z+Z45Pdq%LOj$F?phSqN+kSm}3P&mAPhoJBHRthsM#KLLe1-LMEr7La$CMQt{Iyzs1rR=(O`jdavsP1qGnPIfx1z* z7@j83Hwq4geAbetmta%d$dTTH>%%r3FYZO2bxZI$};-5<4>wOCXg-y4Y48)!Ve}Hm zr@1RFqe`|r<3fAGCx)W9=wrUk!E_St)7oiZ=r1;QTYlFPI)clQtf@Rja2Kk{`Wv2f3k;K-$k1hGqobGEuER;7zPH}kO3 z*!5KH(1Y+-QXDRWqif9w6rW2oHkuIfLa12ow1c8eV6?b-U(_BImF>=(7s<*Wpl@(R|D5 zrxN$zr;pr54q~Z%KRvOf-4h=_^257Z9yaqDVrn*U(Q7BiEG%#z)S(C5D~M^ke+B#c zd9mRDkdVrs?P?BGMUS)%Gy9f+&{*JWZHsm^W8J_{^SGr(4*Av*95yQz+8Tn{P}fe*sl)d&T}!iff6R9%v3L zYh3-5tFN+q*g>$n+Cb8ge$38v$_1CKqCG-`0P_b3&XQ@2wH$=T%Rl|_iJLEQ>w$;o zr3XB7%h3a#g__j3a+eCEZTW22PpNMH{Mf^KE=B+gn)4w>3ZG)0y8Rs@r+D;C|2S;T z`5~>F2T}1dez1-0UZXXRj^sr5gWuk{;ijF<{4JLj;HORz^pG1=PU-UZCe-yQo@#kE zj(v9r)TRoy)Hz$LV|*7Nk976yWqe^Y->rka7+rEgQJcn=cVc0$h9e^%($lj$X}QhI z95qh!=DyM==GIk*d8>W}$8RC*_42HW3onqjl=IafMwy@|)d--#j<-i-!L={OHmPLr#`e zJ%h771*)lnC0sPRARV}zaKelwA9$QdmS>$%N;xa+ESMfU)AYphB*~4F3M~_L+{Tel zb(1WkoR2A)$SV2KBB$fVEf1B_dcx(8KJKwTft2C{LaPXai<`rLOoG+&ZV{<107doAKQT>Z7H#$*)|DG1Up56zkdIYOc*Q z!BU(2D{#nP?iZ+&Dy7H8l?R2A5NWvHp->W_Z&!imX(Q9GU4{=v3m+gZD4>Eo7>El( ztJj3V2T{TRU-@lxq4zZQ1X?K`92#MG6gW6P3x-b;&4mY=D#!0(SB3|7R@HG_E+s_C zsZ(2kXn3d2azPsS3IcXKi7ML;;nvx|UUK(xG6bl*6p_vGnvR1Z-diu48Fl&x`Ys7a z+*r_eDfaoOK(IlRdlmXGUZ^yH$jbgbP56QSi^`O)wSs$g4eFEw4H!qKvS-(JcQmof zajxi4dt60^ivp+VClGI57N?$Yw1>@aZ1*g71^{SFxk>4XqdJ?udfZ`E>+d*M?FiXs#H9Ke+)~Daqyb zSY*0AKx*9}VO8m&I5ZU=IJAjXa~+!h8b85x2mR0}VVIyFk_fI>AOn;aQOkl5A9$L} z1X?q#xf_+pesfo|Ri0qDau2rV_BHiVP>z?GKs|(kxh?3+J!SdAaE%2$o(`PP)(go9V7P^y@elFB>GwA(&QoCYJ-YVRzW3{<$B7co7Q zJGf&Eeq3gq$pW#4#RJN*eLjWTALN0q;gVv3mcrc814BMWbQ3s+(<9$uHuS3Sx@gZ6 z*j2-EFep~gT_eXc5YAV+I91XY*lv&}B7n1UgR`L=WJAA{%ecS9Kn+umbfuy zQ1-W&p&2Wg7v_hHdrc2!VYJg(^QJ}TN`p%hZ2{c0mg&>#0Yy1(H5W%MpL$c|&NoBNNm3C}-_q+9L_M+&wc#cMA%;C!BMS-m>N zv%mXrdibt!j^FLzYwi$cEDt5avu2W0%I@Hw7Qlf5_l($FXwcJ0Lgq(+-pV;uGo}&^nhh4T>yp@wYPjcb=czH^)`sD^S+&E6$=|I5^PI6AqKo)rjp*mzLXx1@Hd&qmOfTpQ3YNCMqZS z#y1ys1Wq_|;9^(ccB3q0oT3V!KH4d`prOwYEcnGqfnbAn zWx5JpLScS(OKvkYGH3_#ZF*tog|24FtqdR48;Dt1SI3VM>9xdBV3clB3-F^aUV)^W za6XI5Sw4>m74n!M&GdgS1NmqA_;sS=j*rk8_s70yNE2jMluIFau z(bVe*?mwVC6(w=+AjH)QOp;SW!!xh7e^!$g} zMw&X>6vnuVs&v@o%?SiLRFhhPRrKN*S9+kjoXyei(1#1fkR#KtAJk^QfVTMXF;MUV z-ATJ0wCIK7$RcVsLT|LAx=Na-3FTM~PvlX^jSWDmU5N+<&wrO+y_fFJ#oT9cKg-6h z;Z{-}(iKW%wXWnRhF3%$Mbh1lIe5dZHpTy+-tnUcWCSs*H)vmXmR|t{vN?0G#|<{= zBtK`X6jXq9By5YC<5$lcN0CSQfMx7pcL2_Nwk*eG-rB~JIc5yPy;UOz* za&zyR#p*q0=f?#F93%mm%)$aG7N=L|I=!;>z#T;{^U)lr#Jt>4;P|X;g6F8<@-o<@ z5nA|L;_G>np`fbEVh6}j=3!Zb1)VA8rFlfjO}%#X$aM4+b+o&yjOMz#zy9FB_;r*b z%NU=7$P7O3J^GDu9|sI0P)WnF0~{g;U%w zp{u}8P&V-%W`j#@DhbJ9g|pl)+aR9eh9jP@u>H#{-&Nqdrg?L8LfBd(6qZVGvBkMm%C zhu-lGQuM&|q&%u&3G>RJ_fT+{pVT)x63eV0IKUM^X9hdgJ+xI4JhI3*C@9;|uj3PM zsK_ECJV3Pq&H+Nz)%cC-8;?8j+_=$Ak@H+6?xtFYqh(B96p-HC{Rvga(q-eQ?c?eY zG(6*a=j*eu`mAu)pLz2IX)#@oVrM_6(Ahq;nJf3rsx-Kh!PL? z8C3-rlbt82<)q=7J{%lKp*t|>;})8tU2tQq3y)T$pm8W$HVjY&D{d`wrxaAHN-l~Q zncg|a?W6WY`96=eH2h=~{A3VHdBfIq`P_%nEP|l7Z-nFT_?6D=d%wHZce76!A1Oru ztU5zWF$1-nNm(G~+?|eC9-tlHpz;eI_igG}(4MQ>g4a=?^McxlQZB-)NsYx5KDaWd zzz3#pCWPKBaP)su>Z9N$j~V)?M@{gCQ;MT7e4B4nhvzB$M!nf73%^l4ci!SS)#flB z?B>g{$oYbDf}7i-#8I$4DpC)ee+1_L@d4Zebdz8sz%7+iv9Z~nGupf}K(`CHO4>09 zHMTF}Lj7!RiH4*nV`V+g%@^16F`A^mGpnris71U^>fUSh846soNvy?O(*@ao3pqUn+=-vAI~Mk z3g%6PsDS|vgrrCIYC1GgWgn&^N%+EE_1)!0a0 zx@D0B-CUW)`nD&o?D{`ywLyED8Uy7+fnqd|7K6LQEKUCLbk#i1OL6=(;4U*krz?WspjreFSuI_*D(B5 z1aMN>$o6t~tA_17UCnOiCP?BF-8~4aXcywRvk>1TfF~|fQ!z<Su;fis0; z?Qpm@(N1rb+ZS8=RK?A^O6FuCM-1oUmO&)X3TFudce>y}>hyuf`}MNSSBYI1jLA8aE{;up(h%@(j9^2J9SI9b0@dyPSBb_D0X#cCcPD7 z-2DLuHeTelQ2i= zETRGh?H|vD!M-2Q6To{A(p5V5;8*(R`XyQ~kgo1ppo}(aI9D1MGgP;mZl^pn5Qifi z3NizzYI#wdtfRUA0wwTnUg)|$be7DUfNrp0ISA&`6E~)vTN%n(&j@R)5z5&U&XImm zgsD0!hTSi10zcBPy_BZ_P>q_Rfw-Cg%}@Fhz1-GN^~6+=>EPxzKp`>9&Ze*FS8pz# z4&wuZYby6%2awJeB+v_lf5J-Ic>;D<>|o+w7%X8J^{nJjIQhjZY9!usensdK|3he`J{nX z_r-2jA8K#gYRUfW3#@@}1v`UN62J1>M0+S;uby zdpN(|cv*PZ`R=J9tKQfb%aOwg!AFNZ7xZs`Ira*l7}sjbbpzEXPcyyX?n&m~4H`^F zp_VE+_cqH{;JT{wjSYXmT$3CC>PC=RhwKFxx$p+aZJ6@Jf+pq%5!@JDo=F)xCbBg3P@I6 zJeC&}NkCPjaohl?@jUIa7JlPg7m%tdysvYrz^z>3ct9MZxJbiU0pggP;wEWNzHL#i zD3}gg@aYW?Ypi74%fQUfGkBCMN3AB>UD_4}DWI0^7pjATi|^tE_dMlku*z-6Qi12M z|B5Qba*`;;O6nESdAS1^nm*e|-y0Bl9Kg_IyPPWU5ER|F4gE~aS9K~mJk394@mA}L zd^OL|tKn-^4#(zOih_&J$Kw`gY3+F~qG0|rWdY|WFG#bF5MZH6nr0RKf+0|Vfq$N$ zSt(bUgIaKKgZxInUgl?cfnpsCX@?llfdMQuiF=d*3=EC;3RZb>bZHhSKn@>q zt>K=`1D(gga?_g6#&B1l;#F>07*Ep^4_%T4*Z5q?5DY8LqYC-iS+7Gs=Xg54Z`Zo{ zF%{)9(4@@^8LO_$dG|L56dHWpqO_#v7Dv^tm^bE}^6`>c@9G8tu_i-;md2LrPFI!N zae$<^0UVkT|5@cGUguqn+XGa)ChaIDQ#ZABT)_0bdxIHxbA$V$;90os_C+;pWS@pJ zCOiw90-%~xs2`L_fgkrfWG(V zKMxH8v`50KcQ<-c1J*qs@8l`AyMvQ)ckUrI!PfV&llX(j?z!(%z`+4POR8C!sMmZCtE?3d{yMAy0&lLbT1gx?tF~+Ldk{N)DzxW z3O@)^mlBVs8bZ#+o4BKQ2+09;uI~+KL<9+#ZIN~lQ0Kj!)JwJd5Sw34Vqj*lN@)H(ZW2 z%axovZMM~LU>{FLAr0}_ zo{6RMz=j=F7#QT3=YquPIDy$z5P3W-VHNcY8$WvH&1lcBp5qr@GhkGhJlzFpvA}^W z_5W};#Y$S11==d%*X&lmX*731mA4n|-{jNrK&qVqu82gEnw?|L(QcPpsk zdxp6I+P%|kThy<$3+sElU_A-&N8c>h{>JhYV0wU1RJRGeT;M6vSkm-5u!(?2oCb+q z0LrZ7JGQYO&)QZv2;=i)O_jYGWTRF37V`*Fpd`tQWOz6av%GAWAa7E#$xh6nT~pM{ zsq0}EeRHlJeqmkID$U$#J}jM|gdcuzd#dJ$uW%an^J1itzx)c8%UMfb^;@>;+*f$} z*l#6;b8BgZZ~lD2M<^H$pX;woY5x5I`BpW4ay!CVZycI)*#VdAxf$L_x^zR89Q;47 zwp<0>+Ro8)TJpnf$ZW%6waz(JoMvRM;%Ku04V?~X^eP}+cCX~2yh~bN(fH4D= z`RuEiOl?>@2i_7cm#28BO^K5HCS73|k>sH_uAj@`1310rlb$ME-p33Lh26v9_6rN9 za2O199tF!qhpIZ<&4FyyK-O#qxo<7qvT-!+TXSgVL8BL@+jco+=Fe`i;JiIn7%`-T z{@AMHxo?LaXpS;YDYzn=a-0DeHCEVH%`x4N|L>0DrgNzMb6&qmIs~w#Pe*}!Ch`7N zfuYvJst1Icr`)h!0o$xpiN7pZek

-8Svg-_ITA>Y}m_POgncW*bzjxx^FBh^9H zOm|exRh(Zja(Z3|ZZKp+P*e_A5u$cae=>PRIs~CQamKq{XM;-*4C8+2@FUAMVU>qZ zMFs_7j8}fdOxPm~212uX*q8lAhSCMCB6^sb+ri~+){XCkJ=C{53XQEthQp8Xv)4zB zCY0K5qCpxwVbLeUZsbQu?4YAkzQ4ODJ~3hLSZe@9kb|(ewVwRc<2jk zlr7#FRt5a*xlAVK*i0z4O1Ls%LFsQHjyfC@Mt@I%BN$2-3j8Mbu^ZKc!+8{pdL24U z)UI%gFOD6pl8X#VS!N)|l*B211Sx~Z)8^FC+^j>*Y8~#@^=b5*ob)L0*I_rG2h)KP zXR}K!?H(yg;RhBN?iWjbi~p!2R^}` z@9ptAQ%@XE-p6Lj>Ry;E69pwrkCLW*zI37g)2-19N&xf)T|HY2wb2zh7N*oXq+J2S z9g2(!@^|9kt}Aj=tMe;3g0$6bWqCFaIt5kaQ=pZhk#ixTg0SN#KrA}@yC`Sr6L`t< z8a#vUN7ChEx1_tl>0Iz{E>^MO1Zv_Zg;3u<7FFvTO-KJy@Z(l!|<)U^`N8 z)9^o&G}k^dDAahy?e9X9vTM+FN_EV$1sN3NS~v8B<6jifTdajDk-9Hr9esu?w4=Sm zW_X;gWbf^8Q~n889eEqvYE3PAg{D+jbiFU#L+9xR&8cF%ZjHKjQ2|mdze0WL$qMbM z;uZBq?MjxgRB4?7+y!)mp8V0RTwl$~g6g51n{<;;+@v%IjcJXHd^eAE(9$)a(T8I2 zE9h6F#lr%~qKc@{V0T}tWaG$gDN_K+>!Qfh3R+UBvf0YvSw}SvvnCfWq$oBfA=v}! zD_v{2g)NLhp#auqgfU2x-~+>x#L}^;B8XuN-l?&mUkS0ZVED;RCJhajV)zbecLe=pE*x80%+=HAoY#%tfBh+KbhgtIJk>wX( z3U<({dHx>0b3RvbQ_6*!jSHEF(Q(Wi@r-jL`%OR85LO@)qpit?AcFcXXg_-17`Vj( zfwFI>J^rkdE`C3m*vYtg@ z*-s_eYVr9W#sQjVv~YQ-)eAd%)CjhSNpp|onCG19uQ z+1;}&h@9?HKKP05XcHV5AOVJ;+*TdnlZ>&|p`(+cX9Mb=E(@Lg9>a6Ps)Bi)9QA`k^}zJe@^9SZ zuXDz>-+DD;So(6LVNZ9JSGB?Ap+JK*w9Iz*n-@Q^>B#1uO|9-3O>wPS)P{65ykOu|6U^>{=z6bZHN$% zam+{sr^pkzAzVNktg@9Jy+0QFRc|CwQ-R#d#5pWyFqI>sJzoPo`CGfF%bjhmKAGZO zkaxxXSi{9iPXJb{+i+d4rmtyb_pJw(J3WX#y6o}x-YnigM=bk&CFbf++(=zL z;PyCuvP(_7xQr1yz}-h4f!KjL16M)pzzA3IUqOwIg{=+OD)|CI3SnJ?RmFC`L)in- z0}@8mjal5Xx!H_ar7Wh+r9n?FjAS)qcF)|U2OM6>|DTuTvRQLEFt|REKpuYu%TwbN zt;$uzllcV;SK}(M7VgXJt)7fN@qGekTit{m}=aPm?`>5>A)R@gegikPd3mE z(>^Hi8ZxFRjOeJq_f+BWg9IsEF%YU`JAk`s85&ZgwC5?-dcDvbTu8mjltGnCGZ-G( z*i;}ro;d#~+oK2;=_5z&!JYwBMO@o-g$=r49scCo09D}|WN=Ux%Q45Ra5Y|04emim zKbZ#ov5Us45^>);cqdD4-Use7XpC(F77r-sitcR6Q{Sr$=UD+Tjp)*hX8P z$Co67lYFqDEpCC+Ls#tH9_*)QU8BQX15U~bR=)O>$@K4TgZ|vFmwh^-BS)%x96qBl z8E>@IrtTQ8;D#L^c7pllT_MvDg1|F#Y9tX^ zMpMqv6UUWd$O>;@883ylML7W6}Zb1 zSM@9<0gbd-{16s-lbIgUH_Z<>_beB-iJN!ANvQ?MhUOTrSFD~uKd1s@Qc3kB&x}H7 zz6iX{(_D=wDCZ;;M6kEt{U`Ou`1jT|9FHd$+D4 zzUv8ZSs@3V%QJdvik3rKs4Ix3x+v73Hv?$yNsoA$u3J6_Xn$N<E=y(=MfQ22{wbi(7ucu~c5nDk?LIQOi=WLi zWNPvMAzdgcoIN?`I(S%>>+`(nl}Fb4ajc_#-C58aUP%wQs;!6~LN_HQNkd2ul_*nH zUd(RpOV|wsgiO&4CcCP!u{U<{%P0kyaVpcbA&Hxe7;m)a8t->nC7d&$MH=G3$Zm4?# zC})}-NuPzi#wyDeQ>(^5I($^OTvDx3Rko3}`G4_b)pXtNKu3LGZoNLI2;DBW+HCA8m{+s+jbtUE0^IoAP+WHlEB87JNf##9|&+Tq`S|S8p2WrKZ>VO|{|DUBs z_2r7W#*d65v|4HdJ9Md=9_C#IYG+kP1kl~Yse8SU(R%)xQU+h}a6c;Qx+zMPj#jOj zz8*SRfpEjyP$##N2)h&c!Eh@9XdE#t=Q>ST)#D!3S5)hx8Atm7ItCpt$r?fP0|hs zLrj_8c)RAo9;3p1krvew#IV?X0+nZaEI2vwp&$vUoOD;xJQGj&$=X41NV2 zYec+PU2oOXA+lNRszSORa7R0`#;&vj?l#vgp9qJaL(%=4-UtU099$y3yOCI*yw_gp zXFB{E9n6#T^Z-E(L|-?VtO`6e@25reJ5mHL!`%Z2TxEUMS1*jUAaB` zg+I|&=)-_?0kL{v|TZgx%WL&M=MO1Lvt-E<|3WS%PTJAPUt713b%zAGi9gdh>QA^+0 z({s^^Ub2jmdv`~$E}AO1T=l@-FVd^l*Y(q+B>yY8D4>mP{IS-l&{>YtnK!!zX_sQA z=o>pmo-?njI`=n{ZOC-MH>St-O%u5Lyw2-h!3{{T#eqxHRKaFJxr>}{+>~jAH|%z; zlGTN@ug9Y*ulld523-x8+SuidPgOvl{p!Tjs39!LO*V&1l-R%izwj`WALf|xmep~G zlGw|wj7yYM*{s18H;YStUesJ-ZS*-k(F0pBhXcM2{l7ebUITkQ-Nlclr~TEjXm=q+ zy^!{Nx{C+KT<#^UZ(@mm<6SBGT-W23U|)T%>)y86i~u&lo^L_xsH590WJ9y*=KrqQ z+^*wbY<9T2B@ZBTcYPai?BAWHd>rVTHsB}HmTP1hlq4_&Lc4Qy8DvfvJ z?bG67b`a*LLtg0oz-3AJ1*&0PoKKGBab%QFYv}lGw%fJk$HN>ZpW$d7mnrx59V~Fz zZLJzymR1WL1Af5_?0z|j3`0e`ffYO>LI+ks4O-1#fgF6eCIDSP)_wH82i9sFfJ>l@ zKIwXuBHUZ+qRP-2wF8zwo=p_B7p??5cJnIZr`~X%KXP+Ka8L;0HE0coGq*2d#qDs+ zB7kz!qjiImN{rBKX4lr3WvwjN*# z;!jB59hcG-q#C4jE)g@bBM!HQdu&Hi=b*a((T?&;)qO`?uAEmneMs`Gn=Yj-MCwXD z;|TyHXuWdu$`v{|`gU8U%8yARI`TgA;OdkDPyO8ciC?LX1ExzIz@Z(FR!=zKH2uXp zB6``CPj6hHr>O^yr`J(I(`AR&k$woC<;O38pA~1#(FFdxJSF&rCS$*v*ksVzya}J~ z0zP*VP@fguE7~&~ZG8YT=F2IFf@`PxROO8@);fb(mH3v1TYx*G20JM@MNvLdfyRBbvpf|#wI7vq@Q zl*J4jT1-aUZ@IS!+3~poU-ws}Ij0v| zcLz*|&+Qh(%!@1!w&SMdK|Th2XqiGORvbIH&bzuG=tT!?H?k-#B^}wuXPG#thOh4&n>te_W%m#q9|_iN0@FLZh$e}Vx26>P_@-TY+tVC}*; zTxCt)xB;aUfr~6-Bnk?%AY!!HOb3G_;@tSg#baTkMo<1*1DdT7{OtxpfTicw18#Pp z3+_Nru$+`O>ztl8fc#*5vv@e1Xg4U#k5x>MW9KL4H4q*Bzpq14=U80~ldbW;AiaEJ zd4ycmbl_T{c#x$MS8r|A;9f2wFaCPt^UuRU{oIA3=NxR4Cyk|aG!Qc^5&x)QxR(>j zd69@ouX`0zfjgv3P53j64UW|D^dL)ZIu~Q6>4_%hJMBmx-|3OPkI!|@WOP5;qtqz- z41^U+on{Y|?_StV&HgK>S`kEQ8s+AKqSVLx85@sD2wkeM{*`rmWaQji>_c;F|I$VMq1z`CoRaQwz*%BxY7okiSm z6j#~K#zw+z-~cjvQHPAUIO1^ejyRA( z+>a$5SjOrDu-p@3K(_+ zfXwdI&jODnKKf{@E}^l;=7~}C$(zxaJGZtQv)kFo<|b=$z1kfMi#riu%Th6M6neck zHh!UNQw;8PQ(JTARn_3Cl~Gi%FR-ubJPsSKRy!p$QptS}!A#qdm7+<8!jD_wHuWK8!_B(Bnc+b}Q8jXm|y zJmU2XcnvEVU-1&ZfvHvVx}{9EdwK>shIo#8wMc{87hb~c-BpIcP}3ZuDMr`^B@L3@ znKvt3!(l!(xa*!FT2#nAQ#hrI1zVn9jBFj2C%j+jYSiudPSvJegfB&@f52y0p{=4l zqrA4GaIWt`2%lj`nbaqy!~7q;;`mVHgYX$vl45=H!S_+JflF|3Ofgz!Yku>%lJMiA zI)2I!#9_c8SfQ2Lz~^czL7Mxo47G~|F9ptEfql~1BAj`nEAD6>SVDiC0dHRVv~meT zoh~h<{cpM1LWR(t3sQ(@Gt}o?40Jgd{b6~tm(ZWfphxn!cPN)El;J}+Pu2iVEzo7t z^9*ReXW;f-5HFA33`BRo=K;{*ssn?SHn%1-Tz5bb?b!5e7}7LsUAg%VZZlu}&W|_A zTa7Fky5`oOLVO^bnl8oa-EdcDYVrnD%RDI*+esnABhv0R#?>H5mTFU}!8qb4D{Imd=f*%EfgS$C)yP0%X;#8Fun6M-8ZisUJ? z0YCVlj%=M9K5>+N5#&$b#7Qv|LH?43*&=wP))0?4`tv~5BJs4mgThh28V(Bmh|gDy zs{Z%e4+HszAsQ1QPUCnSBwD)zcNh7c6w<{#b|jJ`G(@UlkT*nw{QJjQmw;((VuYG0 zjp~4kXFPYEvCP9ftozk;dQ&7>!^0r#+i(_J;Ur`2H{X@fu+W2f}7sdK@>b9SfMM<Gt%vn$g>w;Z#7yu1|nNiW01un{XhQvPsoEuQ%rmGPM_~R zb)D`~k6h->@MvCLF70jrh18d3eUCh>791A`QkT+4&$NmVKAXDs<6Y_NL?3u$v8?Wo z?r9Z4oJo&ws%2h5UZjhw^wHqpvH4PYJi1%-=cDsjE@t|8v@95%w}8EG0xpUG`(oHI zzGeWp&|SBALjb*=^2wXPPqt;tg*PvO%S4SZure6?>g?{LOJ9xgFQ4$qCKxjQJdukVYE0Me&IrA&{J-}U5Pb*d|!sD zy9Gtrn90kh;r{jbKap1+-T(ZbN5nK|J+`^fO84l9RX$5~NM%wjLU>H*%vK~vJS-6XI|8SJ~!mFkS=Na0cAKg_UtI7Pse~HsN@8uz*_O|9S`wYzr@u5IS?CD3D|wf z>SkEe(M);C-oKTi=h8i`Cg=&{w=%!|t<(|c47#`2ubDTlDbjYN;dU55F29jS*FSVi zM^R-$=0~Q*41HH5_m?(#C34~;D{+ioL7rsOJH`5FS9s(yU(rXWufHHo&jHn^)p&HCm{rMP0}0>PSlrQP(SyD{dc4*%rEv zygG_^+N8g7$ zJxsT*6G32hsS_EN29GZ)jtIDEaWqovSZzSgpzeP0|8?WC?d!mflU>K2zfm%@FPMMV zc{WbCZ^>2Pv^Z0I4*CYG|KY%yetRM&Cfwksy$~h?Q6`2>cMG%Sak+8*rlK)Q<*rq?tB`+Gd z8A9NgrWEL=n48F|5PQmwIuP81W+O7z-CL5e_i(pH%AVWdUgjX}X#n_jsPJ@KvITG) zd3%u{zwZTN$aiH1&pK}$i@uim+m*GXCsXp zXMEp-(@jAKzck(K?KoYqwTF3LFt!KQxge*{K(1u-gcqAUxNNN8wKkuTe8J2b+ER3d zfApan<1MJ^wzeREh3&k4BG;0`DC_Sd^3GM#l?K^-ly=0NKNoO~V{?)awTkkuJUZ%i zRfWTpG+rhk#OF`k;LD9jPPfm)j!hA~U{#8}hfyh3 z*UC)?)kw!%)k56JN{^3t+XNT(&u!9QnkRfln95WLv z;GdNEd~biApHcQ&mKn9h2WAv+7Enb}Yv)LR->4g7kE`EIw|2KcQYNP5WE22$GSN?% z3`m)V-Ki5PngoEM$348)6i}9riJC!sdPsaAFb{Guc?vTl>vi?BmxokS(}WF6%tVi; z#lIDBvi0;zGUr09`V6yZYUQvh5EmY9zLt}T9UUY&5by7F1TIrbMDj$r3kjWsL}&g! zKf0w2Kl8PC;T9Ix=yU)Sg5NFNMQUtL(j={^9e3&Gl9eg#7G>zzzE=MhB<2W7ugCB8 z`A>Sh=k9wr`ebjn`&4iP+bJ40{1hrJF@u0HI}{kyNtb*~;YK>{{nz9oy3c*0lc8uK z_1FnhyRJtO2NSC_v}UHnR8o0j1fp zhe;taXP5|r7z*KPC<4GHZy$Hw=I|hKP`H6CgzC{9kxSPy0mc7emS2x@1GT$CvUt*E7tuM>@PpC>pzL? zX=582X6z1Ru-G2>{MQu=VCj1`?(d7|$Ns*W$sJ^_ZRui0q+{!TWY6S`nOZg!$Wh<6 z4fQfs2av3V-zt+78Mbzf4RJ(u2J8hXrp9GX2-TlP+*19Vk3<$Otbx-F?n z9M{8$x<}8r&NgzYgbUX$+1|XNj2$b|QGNI$=by(@Yi}63Io@p3ipIZdvJdZaT?Oo1 z-cV(RO|T&=$5|~cE#e|E;L$Ule!KLQAKz&SA+5-cUmGQ!Zrcz{Pwf2YQKH*GG@a@H zoo2R7c~gDr9!~4npjrMrpXbu>PhBaZB&-6;IC%2-(Q8YV$Owq@tdGSLI-Qbc)Dvs0qGmqx#5I+bxCiP~y_y6I@ zu5^pt)%@(^@T@%amSrI}VV$(?k*`U?Je%~N5A2n;8Bh;a9FlXfRyygVVc778oUw=U zhjhAqf6fqiH^v4-RUL;&H`SulaNBOGkugCT-6DC23wsM{yg6?upJRuid>*lZHQ7Jl z_CxUBl;%D4W=FV;4aDs98Nwx|C`G=Oe6 z+m=+}A`I0l$PJ*1w*EVLBEc6ot_}F&#_9#}_2_iE_GByGJd5ZXI~+_yRL#_G&&8Na8zzmM*DF7`}vVBaeZ z{f=OENPjF%pBdJ-AwR^==S>cG-zWnE1|lufGyc53(qRZ^;3z}F7dXlu<_jFjq~O}f z?UnxS`Q)+WUXh$p<@=*oy3Pz&lF;9MBehpa|F`JsvJt-2qnI{?u>I&{-`YTGjrG-} z1KNOT?U9VG9NQ3A<5Iw;+)wATfv*~CYx%x1{%|CKtFB0{+?f6)QEc>lbOAawO@g zy3vdyE1EbkG|eSyXvV3z#V4~J!z7Jc+b~C?Gy=cMR6!QB=67L`2WhOg6(6W+w@#)| zeq=geq1=w`g;Q9IWYSIVX+V7=7R+dt+|#!5j0MTxX~V52k-zN_@0{?Si4CZk7eN~y zea!YWK|dC>++S?p*ua*V+3X%;*hnVc0>6hA`wtCT6wl1@Ayz-~_MfBW?vLC(MC!-C z{|LSY+ZkIcV5UbWUC&%{Ibm4mHn)TLdh+1ifQm_9+xZBeN^bn<`A-_^gv%a?ULoTzQMOwNwVH@G#loK|+4MveW-9 zX;NUeh>9S;FmEY3G|>73u>I`V}J;; zx|K{k2OiWbetjj4+A;Kl73p++J#eWWv3HiuAy$~?{(QpKeRSG3=gVrF^PT7wbKo}J zVt3BU-AnF<2N(vSGf?Zt#+EOQZSfFWh7KQiv5fS8WWJ}A6eV&16A%Q;10R>zRX9A? z_8f7aYVbErx$oIK={;#=c|LfiU4!4r!0B>G>)csz<}OHa(DZGsh4jLW^oXVGnY=?bra=y<&av zmyORS!R|-)C~X`#VaK;Uv9oCukELphjT=cfay;|erDuwLI0p6GBE1urwtQ!i{xRaz zxs|L12R_@0Og6j&*n%F%&IGyiz>aFYW9suj?sO|X(4MEsOs@Q=W@X5+q-L@99sQt= zWiXrRb0=McjxdHFndFBfaDqoB$?(93JWa+KiL+Kg`#pN)$py0CiS0Wn5cHVWS&MXX z7&^#Yb|RTnS*MvDEIprCwc#JnNW(rI#@lQI@r88jI_Ab+B0ZDa#A(@|@&FwJevsxV_jY!7_p)Bhk z88tDoHd^j{HmDyMPonAUSCAac4pOs3#%bxwR;+RUneN&0a-2Oa|C!v;Pn&r>9n^)` zK?nAgI36&dr^kDeNRf0bUbKD%$Jxw_r-~TnSZX_6sf&~(c?f5+y z=)d&9idN}k2A%Xm;b>7M?WUXC&6${%C*>Ogw3Ko(KSN`jwZz2xUhOL7t{K8Z{Up3}3?3q+L@Ypd?fVK@*6@Z&T6U()NfrE{uV-q%!s zdwT3W;{MVDJ6)ducORu_I=Qxgs|D+w-o7-Jt){64rg&szFh@n97xt){-aqNw?p+sS zCRIGJM@2CJ0ON6O8Vq_Qd#(;!f5z_{G-N86NeYDtDel!iQcRyE2xl1cAer3y4}if# zkllgFC|(m_Br1tcm(xD;N`wiY$%*2@u#O0CWQ_K_*qYtb$EB>8@F0;avNaq_J ztS0eX09XcLnk%cftfMjFQZJ(gke@XZ6uN8sU!Rhl}Hnt&|!x zRCeh zW;lt5(8!wM0|1{y?_@$eW+;iL?0_3vqLZuYf#D>QxQ?dTIm!Ne416NJunBVP1=BOV zF0LOKGNMppUi&rDJIx*}9Z`m5XocgYotcB*52Cz7n9P|a##$WMIbwIFpL>jFJhP_Y z&Vy`fkx#?!5jXQxCdo_pq$V?;{2l3&HkaYy$LdBjSHo|6Qe-k~`LPUQQQ(H%p{5E_ z9>beksTK~_zUjs$=`XEjGbE(;{+7>*4caSD#>M~V=$*VZ*Uj9?a{{31;q6tja%+`j zrabGXr-m{035?S7OaEVw4NuqUhX zL3B-AF3Xdjex#BQ?m_&_ip~Gcew2aMg>p5-vx5+pxO!k5h_kU~R`nnTB()AMwy|~d zq=R93q@%?l9kU*+_;>w7C&r1Gj?|i!y*>}ZU*kCk>qCuu)$)(UgM000H2;w+-53y- zvD5p1`g4SA%GJJ3G%X$2D>ZI4!`zYRi_*SHCRNQ=KFUX9ZO6}-bglu-EK1P7b3=ZchX41YzoaVICgGK(gXKFo>+!8i~t~hO~KNL1r6=i8UXY z{H@O!*}wLj>=b<<0n|t)`|bgJRw9$%&cTtGYs>N1$Ii5AE%X&9-4wtFWXZ6u(3Zja{xTR^10n>7SE(9w0MeeGsP zDI}v-6m*L>z#sXW?A{|CFF>FpZUN|?Ry{)PYpQQY*QoZjn~4E1jG$|pFBlcVl@J9{ zOb4A-TWdFwVJ97qBakg_GmCF%>GcR63VH^?1oRH-1kfjFF5Aa=2}K5jEV;2gDpx>{ zz<@#L<<@%8qk@di0}b$hM7B1s63|gZ2aV6g`p3@m4ac_F-8s^3LMlWm0zb~q`f>x3 zh5>X73IWjJf(mk`)!IzI5QiTI%E%qscCR0Pe}8#8_V_1}E2;xf05%#wuurbwd};L< z;&ANHiSeqSXX16Hbq{p^gzsm0eL(m0e*aQ~p>>b!0pR9gyn1o3AadTMlm}VU;xl0L zM9&~BfnKq*z2wCJEq!cDb#VDgvPMY>1(_2YD0+>buPfJgB35)mN*jsHn`70!wD&Bx z=lWv7Ob0Rn(&Hyu?tv$qtsK4nrLj*w*r4-TM$|_+vBNP27UWK>)$%;X(H;U${0hl* zt{J9!oQ#pThNWH0#25@JJ(4R)KZvVHOYOMkWNsE z$>_raI-S|jz^5Y&kq?n6j&JAZPZacqQn@`k#yWw9AvYC_w97{X3J1B;E*@p4WjGQt zP(!%>zIIrU>3oDWAP$vT1LDVP#06@|5Ty{8Z{WbE6IbSoiut% zb!_?DK_-7L6!g^o;YhKSb2&zC??^lekq_~_8W$UTSJGcxrcmau`1)*V+d!MYQ*|>k zT&VM7*Or^8$swSwPZOPDr9kJd;&N9~!Os7mbUy(;emon;E^*U9mp|gycMFukE|22B6pr9pDX&_T)dLgg#`6)-bsgOYD4`0`Qk1&LqUAJj`BE1JW5dx~@$Z&DxANWIfbi1aD=ns#5j>y+6t{}=8wkWC=D|&^3+TPY}$1_kR*Of-4Z{m6q!2Cr#b>)3wnO z-!j;+^nYGSOQ52co?l$~%h1(geRHJKe`U!EF%)sy=FU$$0_y6Vm{tEtf43wYtQ0N_ zdZz1zVSvWY9 z8W}BP^IMB7=Xh@`B|)U7hzI7$7aAzuL0aQFi~(>^!VdyjM$ zhoD(cAB?JXkQkuYz%^5M*Gl&{sM6Et@>TbprF3{75ZB(GA56hqcuQ&C!)?9r} zh|?&D%j`$4)O@Aaesp43<%^DsAX{|SLO~2f1wH@JNf}?Df2*ZF%|9$z3er zNF3}w)7bTBi~G@|q^^&e`Z9W&XT-3lksl{5yBL!WGP=Hip1GqlFWTs$_#?C0vmk&j zVDh0LN;C!HRwC04z94+=#E<`Y$Bv)dc_4PpWY2TH^NQJd!Jk}LiaZD1Q%4b98(M1V zLJ}Rt%mN6zIKc&)kf0+hz_be@Ln*@GyELNbN~CL)APSO;#O5NoNYLyQOD+=YtLctg zN=(=QGRD(_?&%s(5M39|Xa(VQC($eS7^h;~zoq3b!gV-)Am&K}8D-ak=(#jJJ?hqj6#eu*MiH%vgscR*!jx-=A z_6+MVvhk86w_<5NVrx$H(QO5BXmMcxq%Mv{^}MEb-7SE_uJQFh3&AknA{m3sK%eMv z{wruLjb)9wUw&jy+yppnJ^npfWMzmd>p^rWmZ&3gq$*cT(S(8>L)Cu;5NaaZY$+2Z=o+AD1hv z!>y!Go;1%R@nj1Li=Q7m^;q7?k8a8QR$v^COwS^|R_vg0k=Otn5^13U`Z<1c#b5!@ zaBz+_Kxuta!H7OYDA*C(4h2w^#Y#_>`C;VEbWJB+vkOmbC2l<7>RWos-T=C$#Ra^* zI4`jJ)_5HDtZXj8-y5mIop=HazctFrF#X24fT=ega4_{oV{C!3H=aQjk`*gJ7)W{` zxmbdZ`tX8?sv7r0_l(YFL@T{zLrp=x>z(K%PZ%a&6dhrnjmHOqpju?Ly(gvx>ufy2 zEGjC#?|>cV!3jD#5QCn1$Sr(1&?n17Ff#V^e@~kiM#uDbW}&b_CNf<(U}KC+ctkuV zkSncVSRA9+KEBM4N1-%S$d6%y?6ErJ*sGC-bkk!&3={!91DZ1E?Dhmy1$p5h{Q&3` zO^br)$xvW+O#O|pIUu8R@{exGt)`6DBclVlTI8#v=g}MKvW5tt_^mPW!z*TiM!`wz z1}4JD3kFR=UKF5wVl2TY0!n79D_G7XP0y{0(Fl+<{vbk3?AYcKSbJ$bts0c6wl? z3mxowt)+sKc=;boUO^&{xVR7k6!#uNfNFX_vw9>Pq=AR2Hkk8_DBN0fHn*f9st7{`(O*}u`qjyxI79O%qC`Qisg(oL3WTBArOb4-~LO10t2d+G(90{tZc%&e%X zMKLWB$ek`I6W-owwXb}r%#|-Bb7hfhu9-MBpxbJCfB$(u%cKN?bLWpT_m?-{PRa|j z>P886{!u*v`Yr#T&(OJd9&W&I$L1a(KOXZj`_cJI2&-_a|Ky7_z~Z7S&aa>+HG_qS z_4LJ=CKv{x$Q}rkC17HZU%n}=FL6WIkt4fV7M(j|LDJu@qH}R0Rs-}GQ<0#c#k8I% z=vgjWC3_AO*p3sqV=6urq&2;W)p(C)K-$F{EyCP-dOr8K_Qa6Q@SOgiiT$nYF5u z#1vSnW7~W5H7cv`KQAZOaHQE~5+no52mPhJyZ&%PfcwSGf%v}EnKA$TpV!IQX)gmC zFg`v1d|e5t9^KNhv{K{?=$WthX8Dd4EP0MiF2k*yt6G&e%{!vXLD!^b+2!T~X{5iz zX+0mxrKwl`n0f3+ccozz=b;W=fD|BGoXNf9RsWe+Zvk*({Ma8ZyjNa@`wyGlJBwJ` zV5nn-JF6%6&Qpu%v63oGD-B?T@uI)4yCmiRo$P%-GD|c&+XVJW0tb>$MUJ@7PRsJd z+({tIpTBE#k^9jtuF3#4dw z1_I#AC32=+aI$sq{CM$9f1fnc%+qqU)Ticka-b%gCl;h-d1_DAl2dcz;A0kf@u|rq z{-bxU?nH}yu|UGOju1&0WqX7Y#yyWv!gN-hmagchCH{y=!(9DJw^oZZjLq*J3$qsK zFFI)zL>`Vfxd=Us&Fxuff3md_p@{Kh0}9GY|EJK80-TUEnm3Y&JOrVNaibtqF;+LS zD@!@%sFVtzp-5jCdBFZC^x$HVzOes^`a3El(7s0U%d%s#g?d`2Nv`H$9mKKs6$>=^) zEX7Awf*FB&21SJSy$;fzreo!l9!1rr9@xSBUcd?9Af0hv@k6~S#i{hx%}ifFMN zyVs(GRxM9oAYFC^JOjvxu?xEVq2mg!=8G|7?LB&*)h`8JgO2*i`t_4Xe*9S&qebIE z{bB+FkRvr_q)S3ISNKS#MT`7loq78v$q4xgx+V)iHQ$dDE1W$q({xR*<_r?YV&>+| zlb18x<+Y%RX793*vcQNj}}zP?ND>~5*{n8UCkbz0gmo@rp4*j&F9F%7!q zw|nj=psM1UIP=fzE6?)TQF&D1E)r*=d~zr~lO&dCi~pD8ZS^Zi{v8z#B#BI&hquUz zWbQ1SL0bG;Nvg04=;d(NN1C}7q9-eyM|%7_NlVqRlhgan*g8Uo7wL3+tVp>S7Xr|e zV{f{nrx%h@Jg9K}=&`c#Md_qkhQ&A-Bc5Lsz{Tn95pbA5uK+g*dMD0T#-E9uN^-A> zji3l1|4hV8!D1E37h~niQRfH8-IP-GceyfB`iMdZ75U#c3N6PuNbM{Con!hcV)}NXvztIg z*j{AouyMr~467|J396te zmJlK8Og>8$s`((US40@ar8dW(>P9jm)@ivWVg(6w67))|Va~i-Oj#a#59fjSeu6>= z-J`O&LR+1NW2bX@?#zt=E*4iebkp(lumGeT>ExGOp=yrRoss9x1n)T9zq9g$=C17K zQ!_jn=yY4H2q7woo(UMCGDIje$uzg|3vhai>)!y(TBJ{kc&;l)b5>|uBfCNDOJr9o ziyH=F6*tWOTp2t`W`=@*ilEFv0_S+%L#G#I%x#vm@Ogwt!~+j&7@E}=9g7P&RlAS=C}wh{o8;$Z@Oq(A?!xHKBVNNQj~BzAgvn`$6B&`* zNs-(vP^1OAI>xanHyd;pslhcQLuiIuRKNKBn!*+VSZvxLSXp;1~o-DHl?h*Eip<%?@;gOSuH(_hQC3XtPvJsylHf5wZy7pzGexv#z zHV)_*HGY03ccW(6lOnwmq60$v(qyLO?adN5@Fqv<`}1$jLw(XVhVw3C9?6AT$${+6 zVlZZ;qtdG>{}67Whx8YX0*H}_ZAU~!*eHk^h!caTfvEC=qkrI0aO{sf5sv-o@2Z#s zOQjAvnO|B-sAcA+UlZM8sBbG-KxvlzD3UXcY{^h!@c+(@%Uihc{4Y!%4mwG=aBB|o zG`*T*brxKe3VPHpz`-^uYvA1)Q!UBMU8K{rUV(@+rK`$L39Zkj@(iYK0N!YxdN= zxl@Bv$QC@-n+a=^yJ98#Fg-CMnPU&kZz28PqbV;7EE1H zEnudu$X#JusNf*g4bq;#B6)P{v>)jM%abeYDay9kQj2|y)8Ps~EkWRWJ4g~d4+_cCq70+3~ z6Q;itP(!O3{vHK+C~7{|YZL72*EtjI%QMwVKC7V4iU%Vijbig!|MUKcmts?I_4NIu zv4ut|4Q7|m$!`gfZu##X6?xDQ<-ZYE9RD9u6Bf?=$eXTaD28U~wGy4j9_RXrorRV% ze(oYxld7q4v*n3TN=T?95-&waR1^v7Oaci4qTqGt*Z^2u#6ua=U02 z1~nqxQg93eytED>;l-7Opr@LiUx_0j<|)>17E-`OOp+yT5{Mxs3g--XYO!D>;6ZTc zG$HMRznfOsSZYu<8J~%-BavKeUrm0PXn*2y=s-ECAp89_L#B*fXbDKOA)Qr8^iF&O z(Ma+2WL;>8G)lw!+vuq|Dblnd8`Vg3&40IOXKjF;j6AiCw6>a|Y{khQD^LD7d9FCQ)M{Fdbege^rzfUu<nvBYeI) z6!10^T0_>Uw2TocRU(-*K+OWBf)cX<0JFCEMDY&r9@{MHI?3j(H>t48~V}Ft+ElbGSV}B-U7-}brF}K4JEJc zW;6Yf$v3zGva-jk9&FLX0@`e?!7{Y?K;k>dF%=gsP$uJHH?kS@N9RpETH-R}j|>e^ z%2ZuSYYckCSjZopTv}U(q-=&kndq99<}lsYi3M3f1+!<5?Hx7g5)qM>W@kk2vxW$@ zRNKsRi_>(Zf)k_XaQyN(-BdVP1X~(@*zaQnGr5g4OIj6M07dkQ9hg}WGZMNAj(cIx z^Nt3yZJLjj?`*K+CNi@N>qmAU?*UT&&N9(l2JYXiSQT#&CT~8Iv)ZCOL3-nIB;3V(xHr>iI z3|hD$#BRsGvrY~Xc5!Yk!Y+#Xh_I_s;+a`JFo|Ffvs)+qB>`!c1i#x5fEQ&B1mMj` z=0guw@{wLoZo5DFq{Ta{oZ|@<*m;PQ!w}lwLmFSc2N zxGgXeW$`RS60{g!)sO@&Nu(2+hqPj6{@_fw>&?@qeI!brtOQHf-~^E-3#=~HH50F& zYvtDyBSv^&)NajP^VZ98C=D(ZspYT`$DYG#mzK(@xi`ob6hD|Uwt$|0o=*y=l>itU zTqx4NG5Dgb9Qx4^Nf+mN*+!4m)#!QI;2jZ{AtK$<>+{dwxv8cd`7&;Z2G zkM`&J1lrnG0+(tQd=|T#{SA>P!WGygOXBGWHj9^V^FxW`pU!4aqPA8R;DE9k<*~K0 za1NB!ntHRcrv&c&YA?@FK&h4}5dllJr5B<(yIJbF*rJ^UVj`(VI$f@o8`Dqac%3i* zo$s^=riDe$G4+fHoEAL|0#bYkO>S+3*+GAk*`hq#&Mu{Z>QOlKBH5GRem-dl3a{k|77VR9#dE69K{|8%!{`!s7i#baiihLx zYn!8Cfdvf#VNpAC$l=|e3EDAh?QHxUQqIT6cha9AgeXp>rALeA3^>p8TFpB>TwJ2y zbu#8%|E^WfqG!4xtA+!t13Gm^awNf|^Ylb+1X3{*GUz1ec6hYZ;CImxjng8zQ}&hq zWsG~%?eWOkMs^SB)%S-df9po#h>M-U9V#5K{ZBAL|KlgoEw~_9sDA}DIzx9utDKQe z7=zs$E5g?AaGePE-j0BSIG*sO2!drVmVYON=B*zsMGTNwxE(bV~6uZ z3CyAwbMQ=0BoE0B|A}0GI!1a)SB)z#*zL%adK$8P~n^*f0yItz|IkF(~)*9}QJHmJnwM6a29))XoJ zBTstRb0(VEpx1_|Y+7rq_&0-{DkHWAlC&kCUEH*ESe~CaqT%+tdN0T4VFD&A!E4FsPy0{HbAOW4LkDQ+iQ|(kd>yxmR9&>V z0S%KEBZD#N{g12*VLI}eUfl0?^ZAnWZXH5RY+O&tLwYxK-7pr|8YR*3YSYbZ9h=j# zoQcH{7bfyD#@6&N*Pa!`KRSB+fuik`vJlMHao}OLP9GoR&;JQ$327ba*<+W+-t&#R z!xFs`-E#Fa^EBk;>NkP#kL>AAp#0_T5#4)oCGTcvj~3!fG2oJ*d?|v`;6UpsnE!u-AiR>M*(nqgRKOHLfvOQRC-&3Yh3- zC5=b-=+R541GF>NKE71jNU_%4Y?!e#Ghal;Oe+w01MI6ARr*L_zJ27-mrjFWm^K88 z#{ZGNGIssSwuR)E0K2<^WJWT%*>qUw;wcLd%*Z+n1hYrFC4}&9x$J_IY==#5rw4Y@ z`(P7r-ECgh{}|;ujB+K>HR?V(tZ*aI*}<*@1~cwLnCWWp2<&F3%b!eBW_G#Qg_@Fl zcG%(4z9VV}IlZVY~COSg?cQa|#^nX@v zm`N+nkAV$^H3O^GNOUp;by%@d1Li+M{W~Q8%wNu?)R7M`Eg&QWjMc3ap44Hciiaue zP&H1+`qRH%(tbsBZcYF1+`i+O0bHIrn`Ae`QyLBn$Bhld@ta!oN80p^fx2FxK*&*WAjfiaLNH z6Bj^)aO`oFYDJ0;#0&5Ecfum*u!lwQ+K?X82-XBD(GgDEqP)Er9(%9+E5~Pcgd4{Z zH7JKTM25*9zhLfi=?gjEcUQhVsE9eOJs(=Iqt$qjWJt#jGg{;uW(SKRI}Bm*dFX!9 zAdHnHHA^oTH!4hDX<8E?MF);z{`=3enmZ|7`qO!T33- zebO3Q=@MWG2jc{+6vW?QDT{CKtR8?_EDFgmi^Y=;DFy3VeY2dyuu`<>pB@H=IMonR9?LgQmk_m|wk ze{}MX?+BHT5;vea7O$FzboAKnW^jwTa+uskB$Eq9N2q;|jW0QIW8WD?w(pt(9y;<5 zmh^mbqwTQK#qQRGbJ8t4VI;GX7`X`}Z{96&vi;|tyjy0~I|C8^=#`b9yQSnJNF6X4 z7;heQKf0z}0GnYv8(<{tB^8{slJ;;6n~&3#Jp_MrN&O!^-L3aX*d2Z6oTdP3QJ~DJ zq|+q?M#VVUGhc*va$ot8$-Az@h^!Gqx-Km1a6!to4D7Ud^=&3n0J7LCkV6!GNUz+w#VkUrD(@NV}E546%dUk&7 zclP@sg?cqkuYsz86! zNPo#90F;ZKp8qp7KYkI97QkG@=E0~R+q2#Ao>W$107W!1D{}#e7FobvL>b+%K_j`- z$B!Kwu=|iKdEk?}XBar=7wHu7IR0cx9l*EfQ&iGJ`Y1_>vRrK%&x?DnHQ%==!xEGW*ol4JRJrynFir)04y`M4g2d$uP4jp0Ki2WNi!eE z-d}e)yX6cZV$L{tv!%hBJ-27(vBZ@luB*Azyf1+~8tWRC8#OJ%Rno+*6ihIb9R86h z)6p>KjY#gihSy0$w{@dj<`Oe9P{#naW}2qoX+6^GD|LMDJTCj>fjDxWDx6j*A!@A7 z{OscQ&Yy`#xLx``$!!Dpnz6z^E-vE_T;{NRt25F`E*>QVFbzw$8p&jw9q?bNK?^ht z?IV)Om43i~B|cr;Rf(WH<0EnX&%sF>9B- z0dS4{e}ZB8(IcUG4MV{ABHiObGvL)xV};XW^UT0BO3t7#3?(y;cHWfm;E01cQ@rnh zLq}}f+<7G+aY_8xik8EXv$GDMThv$^Zuyblm6cfl+&y+|>^kv+gZy8kKPZm@Jd7xR z4dj1K6`X$*mdfX|pZEaaMeID3cWJWC7c4GKAk)SUL%SEgUq5$5G-$8^M2v8089=~D zWO6}lK31cpJPrvKC7 z<%p<{PX4+Bm=i(cG-}4#ABGX}MH;@~@qz4H{-aYK)?u&^@dGLS?O?*H-`X&{(QuH6 zVg4qAUiDDPERi&19?nzB)i&Vnkwyv-_pz%#S#u}4Mnlf12>^944{oe)W`=685Apjr z?7lb@2}fqYKVv33%IyR08l|QBk{V~!bU7WCA~$v?d6 zMqVZ-$uQ=P5h4~wOB$*njIKvU*Ny@FhEO*gDdKiBPm0h~cs9hpTR!LD$*^Kmy3i?( z=`#jA7b0tgr$S`SmKQbF$KV8{#vY`5UI#!dh_Y%MNry2IH5Or8M$1;=VYyPjNGJQp zFmHy~BQWUr!Igj<2fP^)nH*1kbjq?f5RedeWZNEdXQ0T#oFC%fiJ`y~B36#zgPm$i z!O5fLd@}>C5m7ufSb_Nd$wHmM3WWE863`;qqD6jKvefu^_QDzFdzk)DS)fNxAY=p1 z50U-#Y%2WG@j5%;`w;(4X@dvcR(kwawt5fq)QDsjjuFA1=^2&ABS-X)ZoaFr?IX== z&xn+xXTY7&bLiW!82(5mxYq%@b{x2w)aL_6nU z=SR=fnw>7MeYgDdPBA6J94~5m;7@aQzT%nMBs~D3+!1jB!nTe zr5Dm@z^)l@k%;Y!&4DXHe7hx6_*j+(JU#&MomfFnSx|oTjL~kxV)eqxfK4(zKYH%( zNVfH{{s>Jg-#lP(%zy7RJuBtR`_WlfI$%+Z-Pz<4FqRlu+?&fh5s=@OPMAct0OYzH ztqrCSq4j*8t~!XFXRLm0cJ?2+N-wjcA$ESzbKZP9CxsS((QPBI8@Gkx!*gbS&ptfA zAq`x&*1~UQh3Ig&!7xeDGIQ!w1PGE5RHLVoI@rAiPA;2|n^WXeLYngL;QzG>-R4-t z#T5P}T-~fXI(C-=sb-ck0C=hs&2tWM;Ol#dhGy%`xz`6D zA2+Vsz9z?S;hI{MH$`)E$b^RrN0I~GRoQO*cglg$#Co{5xVOJmM(oL7OAXa$4o};r zx0T9J4peYPp=(;PKrT3!P=l>uz1GfdS8s$VFIF$weN&Hp&RsDOdo+wbTtkMS3dak1 zV%VQok+AK;0&e0k;KgW1e>GqIMOS?^tr@8xsL4OOI}2JooG}_3wQ9@F7)^b4Kya4L z#cu6xQxj}}&cHxCBoa>zN5BqEGyKB2} zOReIqt^Sw_`ln%H7oC{k{gGIQ&Ji9SzI4cH}U!`yd$*-Yz^U;3a8w zDaQplPsS@7u?w zT4VaT|J%o;26rV4;PUmq?S?HO=GPi~9WXasQ>NTSXe`f>&f1Ri436}?F4NX_9%>#e z2_rQbFMBpU`zTlU_Qc4QJ)^n|qfD~-nZuU-BvDS1?QsObik%pS7%a?OQjK%IJ?+`D zy@G6==Xhh*_l>!hnM0Xq}=7b6A0^lsDUGPv=WFIb`S5`G@t!h(sN~#pvcM3XQRVL{4$Xv~&PE z6Ry=v zSKQB$zC+0@A34#>RdafOyKtlTgREq+jAC=v7(%F%V_G2NI$TuN_1+u}x{>bgInJTQ z?&GSfe1BfrhT>wF)nP;550~_)HgfQv9`Ea;F#2|J97lC5W`1n&_M`*ZVjkJ=Gg+H! z?LKSkm}udkE^5-JSV)}$p_Q)4mbQ0@+L!EWRgZR}%E z);9LV#sa~4iyRnK^Au@(xsfGe-0k7kofR16DKSsAs+&?+7S@IJBrgKeL(=B4VW@p7 zlU4!S>VWGNW3gF7Y+Y4gg>`InMP!pAM2A>phiY|`Tw#2Acb&6_u-lOe|9K~)77K%!82|YiKMB!#FK~Oy>jgKR(sW1$z zWn04Q-1heIeRn?l`?xSHOA7ny8zhc>gV1RthV2xQQn$E+HWoD%<qi>Q!`Bn0FoocyJmaJGU{>N@bBq3Jez+n!!E|vm$h$?3A0s>C@S7h zYq9sYglrS=`|xwtS}t=_p@*|Yl$bL%x;k$`f9DkoRA0RX=gPWPP`~f-eHM_>BXCIt zHlV}SE(<1a_xA}x6O3AKK{#tzz?*X|w}4@JxKXNrfU!0WR!}MP&-+>3+~#d5^#)^J zx?A4MOOjLHzm=V|-&QsuD%=X2?%ejuYVH}w0hcPw1(8XVNZh`xg~u0ev3<6_rjx@| zWgXyZocnGaShBi+0~VtOn~Ag4^7}*xy}&vn{&M+anjePkaTg-X}eOH zH$3NtuU9%SE9-8@CH&pj%=uh`P~qR*uUNK3H)4A^awaXnd0f{=6Mo_AUCEG^eQq47 zR*b&^@rfFVWoNV@J{?|dt-85%kQLh^dr60ANcQF~{oJk1Ia=xs`*(lh#jI=J8@jP_ zxHq>aHQ}bZb$i1&Z)HBxjotj2brFVo(|n8{8kG4Iix-+idA`o`e|3^Wp)0fS?I~qh zBY6+-VdUm06;|!XFQ*8|P`V`B33$rQL~d*tnd!LL8?NN$z6`eAe)pqlbicx@wGALK z5*UxszPF56_kd$%+o4PBcs|vKsjy?U`f?=M{9^&^#cFD8gi>0auAuONr0!_ zuG;c~FY~ijkUVd-!kJf#&)%kq@Aqw!bkF>JifkvrmsbbE=Kr2<<=B1w%qGc$3+Bu& zsNc0o51pRFPS-OfNlcMj3#J;MJyWeAx6iJ=B*#0wknfJeY^&4K-BC4XTn3K6y2F|v zVfpO(+lR zJ=^;R1M=yMlV&Z4MreiA3%^6of*tFYEAKp^;|Qt%w;!wS40m7p`22KH*@ju>dg)IG zaK@BVr;;w*YNqZQNTs*t?aGg)Sg)ZlH{^bo(2tyci2zfeSMn94%_&(*#*cryZn)u2 zY);A2Ol)fmQjWc_^dH?k2aQ!H?LCeX{yoGU8l{pcp^z_!-cE`v|!+jpRc4HeY6Cp;~$I1NSn;^z9%@m8av@JBZn zO^;fh>Q0T`9m^e`me&oVot$ zipR-5jx)TuEzZ&%Z7o~(XKOMS*Zn!y2MRP?g~wZXz`h&ftu%NJOXCJ%aUiK6RcNO1 z{?YQvoG@TUCsHi?Z<+3uE?E049EPAU5!e*T!Wpprc@V!sVlP_s|)~(?JrE!yyplaF>siqrELMK-G)#2-3`@_*7p?Bl3<$^M3#IV`&c7ojaWxQo`cm^ zJmCI)Kik{Wtp}Wn-PDy~+yV6SY8##`3ie$4TZpo{D~|poIa^kS$@(-OqZi)*<`Oah zBPHh>V|H+rc)oqD2`2RRCQk$ z>p5H#B`SS6&Y=&(Eb5JKuon#N(H12+oOG!)(mFY`XCMA-1f~=~n#_ z$7w)AJJ-EDjK0QoQLyLNl*&{izqSio9LeqC1f^oATxGzp6R_{*QZXOzx(k=a$EPOt zbUv>0nNlpGnz@4(d!sO9>=3K&_&jfp-n~GW;(kDdTT~zEF1=sb_W9!hXWOQB$f3rY z2j@h2|DbiFP7k8AWoG$#8c*DA^mVZ@c4R7AT}ti$eVr(b_rhn)WvOCxcUh|Oc^~|Z z+xvhInYN%ke!hE!u+N?5`B_X(hUQY>35(B9nNF7-8-Qz)9+R&hOSy&BGhr`BU8XS&ep=v#QspxS^@b%~ezCbTkIQOj?*W)bL1?ykN`~z)ZU9**OFc zHEE+dpYLWS0k5~_6}RAzN}AF8e%}HtlO%{@bY)1|{Fl9}<=#Q8dG(H^@n(3i>BiGZ zPe~L<|GRr%Wp}DuKI$TUHHE`I-v~>-J5dJf<=6p}jf;E0fxJ12M9)v>&@}nP zvYyBqY|WX?9hJB&=eepL+SU@W2925R1fYsR3=!FYzTa8-^4v<_rBdCHby zNlvurjC75s`4yQvvUn-CgraD$zin)`>)T9k^rII=?7^l35@I~zXl{jl@?tm7ccmAr z{r~6c&5@>wVI{GvyckE0{ujj^lsl$m=n66wp~V=*I11feok#!#zV^VbVzF3UKp>I0 zmhO1-JKXNpI}V{c3}L0mL?l2ly^bU3E>rJSRoYi<#B4V0UiakbXVnBKc4{0d5AU~2 zdD_CSzBq+W(?oW(=U}ww?4sC)^HGS3(^j%izX}MY3`wMww;i?=-t8!l!@I9drmJl~ zJj(hxRC}=81>ULkqS6%6-JU*t#`DqXs|6^COQzy7SNdp{FUj>J z;57ZLu8*7DkM^od9B{|=)ST&X1g=uRi*JKa^Z#wfA_e^|c6->{3{?gWv%T87hfFZ0TJYhwo8O&Hy@8m92uBcIWIVqDXli?}&JQ?-&Uu;x zz@qkL^>z^EQ?1gDmL7V`ro006jHYU)5o?V;F2EfMp;@2}@?qLlc2z(<0Sf?111f2C zYX&e$AIFTFW))sw^`Q@A>9Qw*IiOM~M(Nl7lZ`u$2I5&!SG;up4RPq`S|<{*LLOx;%{e3E!~6^3k6mbE}1#=TDsZwpyq;rjLqY zNPvR1)gn!(D-Iez`8bFSJM)H-_yIUKjKq#S(WenGY{#w*nvMP-Wg9#ieE6FBbVoxR zUj7hhQyb%mv%`n2!0Geu{h21+^=hB#AlC^RypfP;FFb__ygh8@t^G(*i9`iU`{Gey|-yGDhij}-QpoO8MJnPZHMGafa)(>4UGH-DmjW2 zYs7{%(O!$9JBE0tINTM>{?;IOI}t-1pL>JZYWU=LEc_clOAjm3b`4jQ`sVdJ)*o%! zIDU>f`Z$M290^2dr(_qeZN3p5 zsmNJiKzPyGm&f@mos+O7I__TIWk3BvtKSZ!J8UfZ+)RDh0CJkii9LNr9J%!J;{bAX zFz;@$$2ei?gxL}*0>!(?d&_Xcx?bfCH?)jA#60i<7Kl0r5ai`ke;^Y z2>*{0-cosJR|6G;cY&pos!dnPv7Bq`#p^R%iK+`*4V65YoRA|9aBG%jE+N{K<=wh< zHmTW?wmjav9R{M$w$NU58~=`I3aGeyFq*>nk~WgInx>+YT(hR?h|-()@DZR(f*CCh zY_Smw@57yyZ4DR2Lay%(MZ}<(Dhfycww7GOq^a-dcO(y&#?ddvcOQoyE!M73-A;D+jm&!cp}02U=FPpU6MaYzLz(sj@U`Zm)sG;7 z#QZ2P2k-FZWLxwi?~Y&$U8E3aZ)hA{Dn7w(uQ$4nR+%7e%X>c zdAp6sg_H0GSlCRQo3|TiT94g7@dhah#P<2Ycd6+3?soWhcTbUSdO#lYRIcE;4d}7K zakcW_G{4UkzQHI!y}t2pKSirSVS`Y>e8pW~yc_Ypnjg333Zh2F+Ob`49aM+^Pm3dD8lBFz`A!u&29a!mip|uiu4ec^&8RpYZhxy; z-h!Rb|skOjonW6I(Stgg?%QNJ~7E{8$u&IXge>w_wKfaq9QXQ}w#go=q{h7sm%uW^4*#E~qw!%L zL8exr4TpfihWYH@s>MUMPDLQL*{iw-D!0LX+mHgd&5)=~H7;&D(Cm49MeU8(djx^* z@KcPed~v4XFvii%nRT1XZ0oi2318#}d#yIjXkg5Dza6gqk(+5N;Uf1eSZenAdPKKP zm8W;a;{Rcs)6u_-qs(Tix(W;gh|#-RC~m47t>y>-K|sF0GYyH|U=_3Lh5sK{FLk_u zdP=CB=yw3qQ!?IfP&FB9a8dU25VvGyCo+$@HutxK^T;oJevimieY>9;dM#*LUk8>Y zJF@8Qqj@S;?Mu_T8Nn6YT9q6$3vY^gtH zZ0wtI#B{1wt#XhB?6qR)(x?3<}j2Ez@{HtvsGMiFx3~`;+vZ;>FapplrEwx!i^f=^SCmlu-BhF!^xwK!N$+o zt!w%^5e}k_IqsvTTDeZxGjs|qBmOk|##R~w&I(<0)g?t>BWHn3Gk&VlvW#2=?nnL1 zqQ~g|o8H>^`*|RZ9vI+}vN5gia;GU zQl2&d)e5zd#>31LjrVUefKMHu@E^HFZmR6Wa{86wA2OJwPCqz=7%4c}Tx@>7$4@(I z?G){y&7Xd@;dF(MW<5{ihF1nU&9EH_UKu~7;(rCv%hNkFhXdcfs~GB_4r(wu6OW=( z0I|CKSH~1=YQwOJP37x$Ui=Lc+pu$0Q`uRv)cLgmn6{Nw&uvcG>?C3Ks7cW)88C;{z14O}(b#_!o-l`8+&S!5asVWgDGWMe*xVl_OcZm)=<;;FX%0VKj1O3k`65%BG9`fr4~)6i60K`}2FSrcJuvNBAnMdETy8be zd2_&NjCnAL2mZ-1nwH+bow#Rcw`@N%E$#B{oRWv41&W#0a{^u5mx|}JkQ&j;Pjd5imJIBn2v8KE(exkZHq<(9zc(6Wa-Tkas2$C;=YKk&-&@==E0r%g)F0{ zS=)}13fuSBe!6Dfu-h;B#5>jH1DG&Rs(h2{Fev?=00mnh74(b)Bej{#vCJNze(hO9 zMRy!3koG9dm#Q${45(hSE>N^JSunj1Oxi0HfdkC0ZQPfCA72NBvcz=OXZ4nj`v(|a zYx$)-JSYnL{%L)NTBFqkZ|K&x^<&m9?G|8qjd(;W^8jqsDGngL{i6w&AF(mxxJ^-|8+U8lrYD{PxaeqpYbrP&Wm~b8?&^Rg;`vGs zNFw^MRkB&Z%LI4YG=)MP2S;;Z@3)XChXnT`ZRm75qIM~Zjm^f(S9iiF?YA||ZfCb6 z7cZm9kG8e&j;T2JTM?S$CiNh8lrw_cgZ{fc3hr?5ZAUsBT@aKH`Rkz~9B>*po`gOQ zp|D%4uj+v0*sSFGk&bxW97os*)F?lMnz2oP(zlmpnzA00PZQfQK6VZed)6R!j|7Uq z?q7B^jA~`cpDWMm8p2B&=Skc0qopnNQd40 zXtM4etTd;8eq5Rq-Ha}Fxw*$w5jn`zolF#`hg<&ByPK`g8tH$)zHIifsdqPVdz*eo zbyykpQ+NCk=Wd{wc&@2SpKg>jX0<<^4(lr>!&icek}=Y;Ef_ornt;c$^(%s*RbZuq#d4QN9qG zA}E^WLl1&S!SeiudL(9n%DNqNv*lrf*Kf9lhtKH{SV5H4DVuSib-i23(K#FRX@uXcvg}QBU0#*_#J_p{*d7}&c>Qr6Kv)Eh!kMUCHJz-$ zFFDp)E6^hhr$pxkj;I$tVGhS?Hx*}C6nXiwg+xc`nHKtv9_Q`HLa8*=;sC$o3=a_D z{qD~Mc8&u2BjiJptD68I$(V?uwteYqAi`G3HvbUQzRJlADg6Z*C1?m8gOv$aj( zCPxuWAB+UlZGd3v<}l^|9+RkQHkkIhxu|%#%|ne|I-uipf4n{)&`G-H*qcw+6&3w3 z+f|v-gnl+WdHGvv_36h_6&W7+AcLP+u&6#?J|_oJ{q`6x=wtN8Pd0sb@cH5{uGR@<<9Jb|_0a@=27S}zQ8V_L7THaH)b>XM{mosg55Fs&hR?Z9uF($vb|?Q} z<=0)L=qa!enq^tlJb=X<1w`3{BQ%8W$Y+Sg#(({^s}RHkj>1Isc|b~NR`af+o7t3N z?kLiX57V}^ZY^DWRvU>E;DDgOY%OeB+wP_meRwR%D}?>fBQPBlZng`7B8nyKklv5vnDd}8SN%3bk?D%`T$rG zZOh*LdszhB75*QJkiO{&+?pP`MeN;{&UBC_c7B$n+nnMLZPlkt^}aK}_W+S-2WL(| zq~hC8T>I7!Q+iV6e4~Njn&%7W3_cu-~#ab;q3B!gPN4 z{|j!oDjz@3O#UxC@HCP;99U>OJv17~cVMI)j|Jo0K*Q+h1dqjfYZPp@b{-qN+EF1} zrC>VMZ3GGW9M7e#>BsCvv=<;_U-R$?yuMd!iU@sBilYhp z%qz+JofDR?KAkZ^c`6U`@tHM3Uu}A{m+(u?;|iu8F<`ZAU4cJ`J*Odv7P7#UEpS;Sj6)=`nJKDp`HNwy1P5o zdM9AX=gIlcDKHMuYv~k0Tt2ma8se1BC_C+^HH%C|?|n?0y4= z3SWGhS+jGPEca^-_M@JI9t)Qs@1U)zQyXvTKg=B7UscI1vPEFmxBmRJ1<+8; z-^B`#Q%;|*pXV3@rP}NSxd?~pAlkrVRtB-^C8(2G{dH>Bs~s#~WZlr~r8!QF{VU54 zx@?|!6w~EI(bJDb4eRKGPLgLP&Oe5(`t%drP{FP~0p!m?AR}Mc7CtT&ciJv8S-+Bw zjIdS++y^HwJXhR2#i@BCQUWTUXhK3euT7OZv)P;1PT*m%v-so%j-uCvuzd~>P{svu zu(%nt1mwAPxh@?FA2-~dsN91nc&h9=ruwi2#x{5TE|ooY59cE3n%B3#r3kQagD-q~ z{TOBu(+}Q%i^HUM6-RLaO5Ct;Dmni-+m2WWTgR3bDDcj(MtZ|^4pAM=u+DL~EUi4O zb6gA5I%i>G+89oLGh+%s<=u{qjgP}RZ!Q(c>vQ|MKHL=yrHPZiJXDn(yO!w(ezm8X zQ17b1T-V=zEJ|k)Rt8ZBI=$joZ{IC==2h&j&1`+uJ#2-)yn8zE+2rM9h=bn^kYEYj z{wISp#m1>tcphFr`|3m_mX2#++AXn$-hTp6^YL<5m4(e$m@l!cd_Re$jRQkG*_x#JPG^d&HsEmnOaTg-?35K?$f%j8^mvUhkCPs&61fzz@NcyS>Eo98kyKw!o%Z)>6bKt=?n>7yB2HYrTB4x=wq>g5n&jZffC+*d z&ery*vD3~qEV!X`u!CU!44yI3JbI>EPLp3UBC#}j1``mZ(K7{wm06n87?{VI9yoDy zzn^crMBY5p`#Dm7%fvMBs!km7Q=Hl;1n~dP4W;w_WxMLCQ&$oHhBVOz_&UMu7=V9U zb#(_B*Zn_gTN5DsoB8nA-3T`~j##Z9#2vhWA5dAw%*W3guu#3=WEspkZZJwg48RF1 zrvUPAs=2Pa^9x!4{ho*caOcI~{b3Usc12*g7v7!?&GcO5U25RiOP!^-VHRN1r{96>$l^# z`0ud~yj1~W#=h~s(0seLT7Cr(c{_Ql)(sT9`H9t1!UCfd;04Z(D{K(daAHDqj49QP z_J<17b~?3Y3V3eJ7|N$_k6dHjTU`I*_uX;a(W~KWaJ-SWEpYAXU66SUK+$W}vEQuU>e43cqS}{Tb z&Ya}c62RmGydaw4*l1MnufojVummjJco!D`_Eh28tKcZNF{mhX0gBtx2;tQXNo}TD z0T#L$eUZ-7rC2*7PeN;fPo8!X(hI~-P8z@XlN|`A&I(y~Wl~~Uo{;J2K?|HU&9*I_ z1%LsYm0s6T(8!qcUpJ23f)!8K1>k&57iNWh#!(YrT7kHx;_3e*V9Ap*@I1zp$pSEz z86z6L_O^-GNG>dZ>h@(QEp5_tWy;@x$&ULsUN!c~PtF{JQ%67J5`{k)2_=Ni{_S%EjPf|;V z+`eIfWB=T1TlLVb;{f~BADZV^(ETi@nhD&fb{IdDuk*31RZ|XP1I&QGRCYWt|D6f% zC(8QZN+k=nFBQ6Zs-Kk0>{jsxON2gsGc>X@V~3pWlytgHs1H@1!mm!!n;MU=F>`gU z7xCdZFnn*9fs?e2$4m4p=$o&!?-@$9j4ZD+5euMT29RKk6-zI9*;j%1WgbB|M{QK+Uq}!$f!PabCKyDSv~v;k-m-aM}Y@)nmt;@FwB4a zdw8^?j+iyw_}jHDEAa7ldqi01*%waD2jvk>>vrEVqU`tPX3(Z@hZ)%i-icRRBvysP z%C4{Qkl><_cT!V#=S;7Cx?vOe+Q+#Q`2~*i_tLf}C*X{n3D~gB-=)_(dQh>|0`KK> zt%|&9uG_7Ia-w9+B4RN=ig*$DE|WbTuFD7G74=-^NeuUfozW;y<02h)y8{t9POrG1 zbFjKcXN21kcVdJjs%qSyE@82ZdcArzbqZ2iHqN(BSg`t=rqlSpV=`!%0L`ssYx9{F0LtX1fAt-oW95jzqZvL z78HK+;}&Y&QsDRWKw-UIx|@$wX@i^7>^r=C+T2rSBGI%1);fKfIL5m3?i*86Z%2#` zH#GKyVijMcyTCEp-eRqZ1PrdizdiO>9j5|ED8~$k?+yP6Kbo=G87At|Eo#BKEa;9? zg4g@PFKS^O*qAQ-qBflduMbD;;Pn>qtpRDjg~$^wVn|+u+L&{xs~EYT`S2Dg=5R8< zU$Yn!HH}@5ys^#y!s)pr|1Ykgc9nZen#ldabAf&9e%*`?>RS7W7CfhWn^F#yBg(W<9n#w?ZYSq=YLQW<|~t3 zHM9F8&I!8KMe+hmqX`S&ZAO4awf`dSiTp&z{th_x)Yi50?`e@2aZftAwtj?W`Js)G z^CIp^-hzg(Co_`_tsLsdctZ^Na+}d)cdfqr)0#F88RE?^rHuhgg#kNNj94TL_;%c% zt-Hxj4q(O9#{M*5hREkB&&=qw=w@` zbUODvJLg`+(wHA(XiMbyA%k@ZV_RsHy@;LZahOsu?K+60u~uuRTzB$Pa;8C@MD1E^ zr=DML|6;Ym`SK#r<)>)!gEcLP^Qo>dh-BfWqmM?Yil?8MD!V;hY0EFj*X)aI%8Q;r zLkRo|HtE{T#Cki&moKMqup3RCE>hidY^sa;cH(~LZ#3%7kG*+N4*Y;l1!ZUp_2DW* zo4Hf?_jL#-J|VpA<`37=)cfUpZ%wUi*gi7Zv~eOOu)fHQQwDo-24q>K z5lC;ndrn{Ib=vjmd%OMZWDvSvcH^+|tz13pC)D-}&pH$ieq>Om{AoQgxWMe*WL)VQD5nW=iLq&kTek=4|lp=X`Trx`Pxy(gX49ngm~X; zpFnu(7J`JpN!RP=I(AbOyZGY6(Inyx(`R{# zb>XbI(=DTXO*6gv{si}X%5r{{M9#b(Q)Ne$a2^!`LAT$(yi#|VXr{WRS9%$;-$Cqeos z{%Zehan#lZudk9ZaIH62hrrGE{NPu)_x97R zG-n9cP3@=U=wjhFT*uQ(>!X*umD#JyQ(^J@hZ~~tqlP7%R|is;(_cO8=91HQBkqub=; zhdp*IQ(*W7sa~JYVswXu*;OwWXJHDF9De)i{nuU4>g&63iE}5?y#%ay>tO&cT;!(0>71Hh zBo@UOcE4 z6<-AO<;C?iPKN31qda+Q;uOldAkOPmJx8`>$8t7tIs$OY3{`{p~>AS=s!vkpvaG^s6pc=Np2+?7^y3x)2t ztGWACkt-Jt@%zFcFL>4L*uPaA9wn%&%<6tS7q!)cz+`L=7# zAH$~TqenQ?wWY(EMkf1ZI8;$FuNMiy4Hey09Fa;;cSSI+xy@FqhptHT%2qWO6l)g9 zuiHI1)EvdF4Oq^Tqst|D&pesCiVir}6B<%*D@|1PM`Ebd7gD3;w_@$x^>!u3pxgKSy7 zRa*rS8W(H!71nO<6~a+0%g*-pEnm)HcINf;I0_WF>#hLz>({xSf<X$y@6;y*0!n9X1$7)=*S%}nHfWT}s@~DQSf!L39Vuk z3*9~);;>C$(*+HP0uM*f>Xs8y(Hg9YB%V5mIP7lfql#f|W8;=1V7gA@V-V$!#9S8u z15Pt#SG#BTm}lDB?b%b=xV=2Om$iAECI=Gm1{Mpc4~I)ZQqQRlWphrSeuit-{6E~9 zx?G-s_b5x)MG&@;X z&Yh8?L@W4BL)#6seb?rVQia@zoZk9nfEqB^qt0=Oa3^K3y+8?ga%5ib6dF`ffeNt5 zLDm=4LOKo*-RyCYQ{~G|-DqyEhAVSm=;JlC&;snW{@*N;v}hoqyC|x z2%M!ZLU7$X!31yc{>8jDeOvo~dfbl&3SC4%TTXaYQ4s;{U@{dw{z}mV7Xi^0 zM53n~-~k+oM7epCvfjQd=4R^#pb^mf85L!@PNeAdi-_p1tHjnt3lY&CF|99;d2OjP zb*=y*Kr@n_`ZVg92WEEW_EZal&DkET#?y%GIHa;Y$7A(4_D%$oacmyn->6{%24DtU zomrxZ03RdZl}E5Z(Gzh|+YpBs^9YS7Xs3HsF@vKM9JNmGqbaRWvrx>#^?4zjC+ zl{^>f?Ent2E0s6<0xBTyb|3{TIPBx!Cty^U7ufbj^CQBe4Jo41NbFBngQ2OAa!P76 zw8a~X%C2YVlmafmEP^VnUt6DB|b^ldNU-{OIA%AtI3K#(3thd}G5 zavZs|*sV^pnkY|X|+$2|{nDuJD$R6$}(qqNlPCPT&(yi$FLEg{{$3Hb!wHv_kZ(Fcl zeBANKw>US{36&!hps|l-SbVc49KG<=H^V>bC&ocDsr6TmSrz!+68Kux7wDO1x9Lgu zM$$^nZG7R1?-u%@O9z6Kli&3|o8{&G9`L^J|Mx%sm;d$u_}~89|M|cD$N%!b|6l*Z zfBTRB`d|O+fBg6LpWlD9_CNo}|MP$U$A6#y+5Y4F&;R9r`hWjR`@RSFK_{cY?NfL$ z$R1;&>BCSEj>~QZ;_+TsqJIVLi|nb31(9b110Dr-u-^8N7U#=u7tCNguq&4PfYgfn zD|xwS_*A6p`ht=G1;h41h2Nkcl4WkYA}|4L=Lm)j{y#j1PYG;L;J7X^8M^^bzHG#A zYFeQB})JxG$?C zLZa-kKx>(MU#HACPPyh+oE|}DeEkz?GdVPdbSK%|l+O$9_=z`a9DMidxhpwK5jXY7 z>>x|n5to*z*_ONDCoBjj;<_yGm=Jc>G&U6w6*U(45~d6%DDeDPF8c@2P$d*NMdPq4 zeGc)pHI;}hHj4$_f$1i%hz)||NKXaRqQH}`T-HAWp3RO%vJiV9Z!n9&#~=k19RD=- z4nP@l5Hz-PkZmSzU*Sm0p6HvU3;6F5I5?H+ElHh&5VUeF?C z*z8TWV0YaBHR?mwXFJx%FNPc<=1^^vJrZ7%(4oNN#=L^%K8Ir$IPTj%In#{ndn+LgYV5}B!b8C5%7&@#o5*%E1_|hN(@-0$nKuQsd zrMHH4Hyd(VYxG!NzSj7j4;W&LC`&eL7!~uncEJp4e?DOZY}wv)L_o}76?5BW%IzCQ zZqJcPSt1Rq$~g2t_9zs%8pwB8-6`U%AC_Tq<(fQgxHrGRQcEg>5oF2Xe!qe@kNL!H zm0eiOxiK8;Iq~EM)NPl?1Bv}Dt}fWO3vGZcRNEbAmlnVV&J|Qm@+hze94_m~ z`Qhvcl*5C!tib%$eOm=ifyz&XB=p*AtC`$`%kuafd~od9xkc zdWeuh+mzXp$Q@$4567q`4@tvblh5C@9U%(QteV>juyn;i9t9rpZR!US%$q_;(J1zI zH`(>W!A6dk^M;KajyRoc)9_uN>(rj1KvEn|$;$zVu*PF&5I!Mx(8J{e1hhOoHLGKJ zBKc#VYhBOQXC1R+pD@|u3aASro4bbwQg-IK!$H5djp;M(hGQ5dg|(r;=`5`Y$2A2t zv7(^)2WJgP+qcqe-s-yL25H~>SS<49B8JrJ)83PV=ng+e@+hiYx;C&`=}Te9afqnM z_TtA-;H;i;g{w5w#WlscMQmHa{AWzX95UxyF~hA+3;$CS-%oB|Cb&X@;po5rL5%D=qu%HvmJUx9SiN#ZXH;!N8p2ZIvVJc*&i7D#gypJNZ+ zlV+q-VkO7s>aZH#$%W6r$>p;JpCxalWfeUp9>*tGUv0Yc6f7gB2Z0=sq?7V+8rN<& zyhy9Vg5!?*#n}zFhs_$He0-l{6&m4m-ZX<}!VTDbs#2uc++}wy&l<3}9>71b$|u>L zAkW_Y1pNG10djQMuwcW)Lkn%dOQ07I_d{6n-7CU&h>r{^H!$7zG^=2`Z{uO;QBvm& ztoI%-z;@jga6Ih}jodr-*&0jykTN-X5WHuDW!pW+cTk%I_Y3V+A9I_BB-8AMG*Lw9 zxx5{K#7U!>qJnYa7YQ1-b(AY{&xsd4@y3eJZUWrwP9gu=RQeAZS2yjkTdY04(k zK-dbXwWcrH6|RGDH%B;|C$eNakDu|ly~A|vS&7+QXL-B*3jZeF&=V<7IiWRf%~WSz z5ow;ystXIaMt`0Boj{(lIk>m}nE zcF;F&z?gP{6O8Ly{0ds=rHuv79L90ekm%hOD!b#Q^;j%ejKT1aiWiHKby;w|Yjj$n z#Qf*F$ozg`!P=~}d8QUkmxKa0_2>*}O)0!N2R7?O7Fy#1i>-}-rm>~- zMYOR$BBj8!mzyJke)y0X=d#6zgeJ{{S8Ff71z&AC0W#OvU%_>~jWsNrM?APUNOP_|yOoWI6E0}`HpcTEHH2f#J}#nw(qi4(i43qdmX9+f z#1&!RW)Mi-kKKX*pt(}VNhC(IJ5Cs>cn3C24|`|NA-L5jzXxx64saVX z*X@3`7~IHe)$M|?)T^ncAq|cxje78D8X{yNK9>dEy{*@-aBdy@e;Oy7@C)=W3~XYqptw&PFVRuA!Do%RD7r9T5vUm33eCz%GxdV$+^7yoF$equQ znGHcmWey{-Xy#!79#30GtzEOZ4$oJej{c$dtRdRyJ{CO`_z|6U!-fE(k;V~n>-dgr zb-GJbxG{mQGm*ce!1o<`1DeJKv2)mpCC*aaS@2s+W?m{l!)e?HAFHs?Ah?Oxj2+=> zHukokUre;b=(L=-e!iR&3k873?6eFcB*<8WwiN_6&987(*Shlr>8v%vLj&oBZHNWp zl4f&GoWF$bnTB8>>nj^-!Tm++W9xn{JBwdTJm_lM7n2i)K(z7xg5225@j_d)J!$noaFHFf4&@W0(+b4h!}_Yj zjd!+$4J;Oh-{>spzB=fUu?th#~8B(|_C>Q5SN&zB@Ougnv0X^qQyBi#*x5yHfGWMonVq+*FD#$vA z&(t%ext;lqmizHIFyKh-BkA7_(L&}QId%&M0*6Moo2GAx(+XBqXW)G`(*m`Xv4UN} zYTaKLiYdo{wBFbw(&MmUdlv6pQ+KS5F1tc}0J4Yo&8ah?+IgayO$B9yQqTT6W>h(x ziQ}wTZdv1rh<$6ri7nM?{7rw$=tBKrypslpnt0TOb%ccJtJ?*!VVW#%eB{hj2XH$7 zGz|)}6Ot9UPHTO6-HE@sIZZuD*nZYo(p`(;;X}zU&04Hpmj?DrAFz}oNeLC>8JT?e zkmp_E6qwz**R~D#kZ0@;_Izm^^(Tab(RY?#0+vaKlu_cSoRx zPb#*84S2~*g<>~KRYYfZiS)#4$ra0itxR5SOiRd9P{jM z9L4QW!5YNeUdKMUv`j&Sg6%sKTO`3aK-pMcLQ_CklC$(uky58`8dmU~j)cb10!N2T z77R=FY1$iHrRIe<1qII1tW3j;XIK7*u_ty5#ei+v-P_0}V68V>HRa_KjH3d9N4A4o1+JDI z9#!c{mFt8QVl^U8A?v3gI<>jNZ@0gQBmeA*9nMj^;slG)WPud(#%|M3$o#*B z6~La+d>Gp!+DV*GkmaAHHsYQLH)U4bH!_~=)H9$@mE_@T;7@fJl@&z3IgV;LCOwq{ zn>{1-D3zh@!+dkaFA|&VdJarD>j20QSBy#rdwsgI>j6?!>X(I`s5F z`cV$+ku^gzC$6;LgYwlhZPqDv3@6m)Cx;h>yEQ0Z?ZnosAUsZdv+LLb>(CnqV4gXS z8{6M&?-Ae92a3kaV8BKIBN;z8yf=)dVs$8;AUNr1F#$H+^g%8RnlH;) zDNxb_6HbV7|H32Q`F{%&%HjphgY3CFbL4+|jg7@sNE z+|fD`L8a}Z1Fg-GJ~x{+J#p~ataCc6Cp)8qbj#NoEl`dN>u=G5;kLHM3ox{6LHOlV zCG2BJB(TtCJR%Ew_YoGT!8>NSnI`3xm7YE#LYXtNYnq4zj_WwIT5`t8Th_xX@)^s` zl>X2a01ZyTjw5My%XQ_sXm1zlIHT@2Mf>oaQJ*}+s{6OR>K&vde_h8spgw%`UQEno6R3Qqgq z^-Laj`Ur+b&i+1bkbv_P+d*$(G~{X|@6*AYw8C`ceDDRs?${A|!H+yK{YTRLI#@8w zWXgA)t;KvlEQo*(e)Wlc%5tCZ6HPddsgdvt08&kDA_}@2T5MgJi1D!9jn4s7{bxF& zuw=Pgk*@U);B`v%i2_^akKf|DGUo~o(azySId%@d{!3TM8H*FNA$!>!Z;{{whHtrx zV`Yv2R@)7TF?&QCD7g;7;7d%`&g~P#F^3TLu9+;px6gOYWs#1F9Y^e5))8e7+4)6Q z95%NVG&B33k9`5lc7Iz^S3(hESGSL}W~frbN>)TT@O?degii5}gSs8V2h6DCfJueQ|7)qvmYFBYTGHdu+i^$(#?$ z*#QaXTW+xn{I%^XgWDll1v^0E3AxwjOIc@A59|)5%^txrIveH2GuywAHDjlMj1Gzv z!!LiVQnpiY@-;;g*W*tH_hV1Hy<*I5S>o5cfj2byLHhYx*EcXOT=RQgPwfF(6}uzc z(#;Ay2#p&HOgE-*d{*FY>CP%gkFaJd7=cf+rw(_}i}l7R$g~b?4;L4)R)FL_fiwDw z02OaWV0aGKBN%hc{ba8;9W29D52hJ6{n{PZRZ)ADW!-uCQ6rAcM$rnKL1T@}XE|3* z*ls);iT%G^`L&O}0|LyK*sig2^;?m!hf3&j6QYg6?I zPnc#T`II|g?Pg-&Q;tJ`y<3h4AJGokm-5ekxuNGViu29n^8+t0kjVXRT>&18lb#9~ z+|8XSkv^^Qb0FbGIs*3WbW7|Nv|hhSB20 zS3JDg8Chp{)8^uOwV~Q1mTHu^rCu#E9e{WPBQ$$zI1H#)>=*OOI)_J3oo)qw%(C7a zGj?LTzzj`X{S{O1*kv{<&ib6y+aq4-5$Z5qJxEqZYM`CY<$ZfFi>({5T-kx)Sb=*z zyc?jl*r4GR&zQiGxK{vgxOp?bP+AB8%=aWScFWGuaeYUQZu_86QLI_)n5Uv}EGtky zA@zR+-OjXhobDdT;4U}oYKSYSnf-+ zQ6NF%+3gDd9@Z5~8@$Rb0o=2pdn1yfvEetq5S2Wb>P?TD+Gxs^ZNNm5kwufQH5Toz84Hm#d_D{Bu3i3M7NX zI@rC+2U}qfp~`@$jh)sz4cai~?|pdB{Hbx?VtedzkI9-rLcg_I-Bv95^4r zndi*teaa4=Kr=e=Zv%H-c5Tgo5;Ire)_i*wJ)EaDEw< zj_-W~B;Kt?w<<;rHxf(f*O1SnK8DFHbhF8V;j4;W;EVXB=wpyLnJ!9dY2QtV?pEQo>5a~>QTj&iXAU)zpV;ejNalA1Pb<<%6K!cv6uPi`5a){#1Fq>%Ei z5i*kIJy^+X7quFXd&jwHs*@zY=m?EuTS4~&6&Ewmka2C|pivq!l8xB^5<3rDIeXv~ z*;R972Yify}Y@I?jbb z?{!z^usmZy71k37rfcAkxheTnXhmkmW;>5NYpgdN8$$5TPj2BkpzIM+HX^W$WNU(m zMBo7nocZF=prpye@(9orK=wtg#77<598pGMuX)W~J~^2*>PRb?RB|s4Q<8$wJE*># z!lR(duwcz_H1HuS(gE4KE~i8}TsDy| z%OJ}75w4pUw!OQb62xA^u^mLvc8wT%gbW=4LOxbm!PxxOZ8oL*ATf2?}Miy_0G^ii@L3%P|4TN_!$*q>yBOAZAQXib$3UMUW z$4B16`HuqYs&nju>Gr$?<3f%Z(-uqGKc_0*EZE`a)JFAb zsmXk8ADUyvA*QS)D6zOKj=m$QGFt+-@*`b`93CCD-VflPlkIB2&1`^N&KmfcXVMCW z=0k8_mtC?wqXL!30avoeZ*CSyL_%6E*PL4)<%m|W5j$`^*tv@P%<+84y~WZxW_VaQ zAOU!G$DUoV!__BNBIX;S5;W8^oSFg0up8o7Y0IgaA-g+@6I?OU$$~lH1U75RU=5b! z(+`aUKH!xnH2k|e;VlPX(g`a!;NbPC#`pM*r<3eJ11{eC_Ur+Vt|f}3CNMz0Wn1XA zO1Ghfyt_s+Nby~Ut$$)IpH5#fITYsO?P-)l-?si-UpRI7kmZL_>n@FnFP~%$*B02$ z7n>k_$nuyITZQ3k9bbOx{>n6%&unS`JNiOx$OABG8%b%bt zRGR_a3L@z3SV6o-<3mmapbdLU#GP;U#IZ@UxbZ6%+s@FuKw_n`hroN9xSR$kx{TYE z>m}T&H?6pUZ+i+1tJ4h>hc{dYgxd$aEwV+j1`wspQs6$U#m;Y9eJ zus@~~)|ehg?cIO<;H_Nm64svgN5nO|4c=HMd9V`iCTrr} zf8>*WfddZPk=WSAdW)A0+Y@$}ZCCh&r4)J{RTDU8r%^}p9ZtA5?4`~raJ~WGtntiJ z;a}qLS2prtk?k!LDXHBc5mC*am2i{V$Ml7XY92hZ9z?<$z}K)Ochy~?r|}`zPw_lS z!8hwiFLu@S&(HYw0RVsE5*pj%Ax$HLtJXks$1Yd_!f^S9!))xx&tyY*w=bJ0$9}=o zCI?Fe8`NgzKN$!IaAcdXAV7EA5_Z7W*l}>|j?#o40j}HburYo(#6Wb`k{e>Eqt~__ zyFx7fW3#6bQ;_*}2B^+b?8Mk%UcB}{mJ721uwVxq%C5L!Z{(;0+u6#mKD)#ItXXpw z`mKQ=1V2>risd{bhkXHiVZs3qIA(dGId%j5{~RLAN~T9j^BHi|<^z5>X6={+$E-!o zc_Tak!)l0l9GaAe1|{5)zM+FSNM<&aQq9iOb_e225~at0=he4u%BJg)T6nb@wx z`2bfysK1Ggzp>6^^sZ~z1#Uh$_DxS@WA1zgARDHi*l-nxG%b^%PIG*7!G$Z<%o)Qj z8DSNs>_cG#__X*yaYGs9Bn<0yl;eVL9LwwGEZ} z<8iK}O-1^&7vE_G-La@7X&cHN=S*2vvbjU~5(c-Yg8;3T%=s}i?~ok<*zn&1bhDj6 z+2p=bg(pA|muJLySRGDQ%oXT#HwM}D#|Jl8cBC@$M%Xjm^g#3Afa|m+8mOVZ(}YbP z@SR%dx)%iLIG;ME2XhUp({Vc8WGSXUq)4*0oL_9dxJSO$Y>tz%7n^>%ByZ_}U)3=K zd@-zX2?simSE+sF3Nr>VqI1C0YG+A^AjGnSD}%DZDGqg3q?72$T0ZWG$QNEPDoNka zgc4jLsr10m-A}?&kL%7PQy(>_M2hYjnp7g;s)m}r%N0-#P20AD<`Ee*ejwFEGfjqb zOi8$skLp(t96MHrANN1De8O**VpRudx*R0SI>S-Tc?$!3vO^+7#=S+9U0dgRcO!$L z_3m~6jF~xH-Uo@XR;}(*g2`7r%C;8MD$UXRK(-V{K!AfVaQVup_ z25qg_E#g6i6mN;?oZoNd*!EGZz_m|KfL}ommTIxiwc7GZSlRJeA*d=cbuSPv+nkI zO3hgW**RK=7tE~YO}K~7%%AjlBPLsE*;+q49{vg*xhb0|!G^}ZlO8;AtP(5MO7jl3 z@|%?Asp&XUApHCy49n*X>}^zMCnvxS{$A@XELx`FvY~erY|Vt*sVDRAgxkrw)8w60 zvI!@Yg*{utLp#0fyn743&TL<#g;CvSHrGyhz?dx##>eCle$c^!>BJI3*=?@NDvZOz zrW}M*i*lS}y-8u3;UEIdVgJ6jRZe)d+)%-X2HDW!{DBk8(K>cTJ*`dUMs&E87WB_g zfF`?Dc5~LM6U)QnSug^g!@lT#XgBdsSHJ^2Q{c^Pn$znc2Pd3bwz2U|f2*bwHL;En zvD|8moN!{@#&$w5_c`Z2Wjnv~bAwRN-g;4O07gBV8g_%*1eqXdc8^!yY(WqHZMwRr za@A!s{sdW_N1tC7IMpb-3O-50!LW+qATxF~NaGq$VcVKHBif7GRiBPJBDisOHI5`q z^8`(thhkfSZ#Uc-zzXNKXO4aKS+XH~lM~@u+~1YdEl~nZlp&r+GS$$$}a1M!f~c0CW+Y|qnmgR}wjjfB*v(VG zMSDB-0S5>|C+x-fOe8%pS}{K2g!!5`oCquFcEPH9FhUMo*JF1}@TV;+@PSTcZwDy1 zn`}q0wb`ia7Chd5U(}HPA1Hl->*k5LBaU*lFeN6T35$~3po9hC)~9a%j1ScRJ*%^8 z;wLz)`8WJ02?;ilhuNq)niW86Vi76tFUpwQ33L4`xj_`bYe0o) zUVJYIAe|2F1tvrf1KKQbyRT4OIg8p)j?Ao=vUp4>als2zi90cyEKno*xqY%=xDoN# z6+ugO*i4xJ6DsOguw!94Y-fA$mCgb%m)XIN)ploq*u0`YbSWF(A8dB;!I*};=khT< z!g7SKhuE)#H&{dYRC)9eHg@>&oXP9fNK|iD;FL6tbwvI`!WkFHDh4&7+4d~V}Q@jv5jSigdq zp$iLuAg2(~zL<||bn=eo@G=e!(m>dHWw-1&f?pQ61DERnGVf)Am8F^YEQpltPE;|J z-Ie~ahJGTCAq!xN_E@ASc?!(}{Kv68Y-K<~?Q(ZYb5#HuD1n$3us}0+)CkD$wi|-a zdRf6O0g6j06cgR#0yZecfiGoDTxlf&zk{O|t%?&v)vkzu9P8_dmbP{-XAfY|pM&A73MpQK1*}l*y3>NN&8`Ul zYO^bxH`ZSBI3l>)4Q}QXHZz>*n_??r{cA?P55M5oPnijAO@&X}p@g4HB1n>lwWT}? ziD_j`=f5K#_5!ZQ-;~d}D_OeNybe0GsdU}fy|`np$lXhOmlotb5}+KXke)1fxx=iA zo1K3PkQ*mpw1V*ne)y2)v4+$+*NU7qVz)eUcRtm_^k_0$D`-%;7_M$%MYN?ZplRIA zO!@Z!g8;HCfu=DC8&_$NB-|9uyA)qzaAw{zA{Lb5DA^U3;%i={?OJh~A9jD3ORV?j z=M$DU%pSCme2p2bFjSKOpK&$Ws_-;@Vy#{y=XzU!zqo$FR)C_(_$;7N7wllP zw<>m|?y=9MlubQ<(Y?bSX7{*?Bu1B|6a^>kPei>)xg_Ar z)}>NN-WC`L++bn_fr@H&M?{Np_dq(n(qZ5zpi7pCq83haj$&ckC2So2SPux`3Z$e3 z>2$aNjqwlx%D&xGMFh&l`QaxEMgfd1r6fqumI4L3eoa(5~O`44Ls@s63rK zj0dU>7YqmbrzhNv*p{Ra?$6VNk}GP%TXIuW(T1ZU`Ed3Z;kwkeH@pfd25!TtFp~Rr z_cwj@SiiyK-zC{7w^I32UX-1+nG<^Bh})idY2%11$;!6%gloV?tr7>^6uN4>~trDosq?c?g zj3>LT!&E012I8(7Nl(6`u z8K5@6QA>RIw$BQ}Q_4DeV6@os9;x+Iv)^D7@L{r9;P!A`**B6tQng=fCinxKXxR$F zRHYiz27!P_;a(Pm&D^GyQVOKtz70-+n;HrVf$r<>23E6O zH#?DSjf>!U36nUMPoyugj)>@g`#a*L4*$On{m>@<78K8zuB+}w%zQ$&{bWx~FztUo zy^{WTYmP|vnzmSiwQQRl_#(c7XfltyEF#jUaB2^PB%OYY&JeC9Iq44I0zhK}cTM$Jv3}0}vl5E75JM9$*fWVNP7+!w`D=75XP^8Px`=ph4@~SVh{TiE z3hX#cZtM+ITykF@jvwN#{6Mbp)Q~029XL9r#ld_~5{w zD#`G3S`1<8Sf{;3P<7LTq;qrmXE3O;qrd@FB z1)6%z!hmT3&!a^xL-O80yVEw{R|(LbYvY> zj?(e*s1-i3=AH3|r7i_$1O@oEJ6vCFyg|uilkf99&!q082S)mw@bgy?xG;{(5ut`W zPo8jJ67zD@eVNvQGiIF3_>D(!g$y=g1~#x+LBOw$RpFd9(yZV(4I76Ec&b-^)%E>( z=nB*$Kl+HY&)!=Ri^z50jP0|U6KX`L;m2oga|>$EoA*h|*Y0pMor=mZ0hd2mA zH{b(eXHQ!?SrDw^?1>pI!V(umZ;i*-|ps z^U$ze%b8Tpwt^k|58JiB!X1BL+xAd;wj=UX*yx@SIX0{caV~$}fTQg9m>`aZu-e|r zc3wY33R?vi&P*uDvv6v(F4mp%z+y{ZniA+KKqKIqp{Lh^Q0PrTi>p^6T5rI)$1rT}m+fLZEpd6%<*3`s* zU=QheFGt`@rV=}dbFrnIt&rel&yP%0mIjh+Bf#uMmdsou}#hl$P{7+F)PNp z%K@^l>&%=k+i^}d$9K@T+iJMqp2(g%-_wc)3r2WkCJUycGSzT&5XCanutkgt@7M}D zIp?Lp;Cr5kh~we}5(7dIE!1M8XW zoChDV8WfRi_Bl2h3(2=qB`?8o2JMR#G^QTc!x=|Hv6=^K!$&i0Qe^tppw%F#CD(mCJ&esp$_g6?xV(tHDjA^gkRmb>x92EvPFv6qV}l z*aFC>^j2_S2W)@F-^3jc=8~LX`GDl0)^Z#(TbqNh=LXbXAA(Z(vUnk3)4q%7yw zD6A%}6oe9UtRT=a)-KR~rnOa&=iFd#hi?{q=;D<+oiLNJ3lg2LwC?>1d~May_>+A> zUyXIj$RJcfW^@|_3Ih?%jP7SWKK1b)FMG(zkk6kS7JY9;kk}3u+;BGWsV}3$W);6B zi2KU4IyJ}S$_=~jpd>U=aKg7}Wr~qo+Wvk_(P72Y2DxJ3_Nvj^;BvyT4audI&k`I_UBl3`Lbx4J3yyg-9(sg-?v z?&y(6l)X11>cu|D2x^7S=eiq*>#+dy-jfGW`hz@B4A<@E4b!-Hnej+8)jIo|qSG;6 zexC?OI41i+qp>=yMKiy`3TW75jQ|?X+z&e}KGuXCwiN4rSa)r=wSsW0vx?(^9) zK-jyQ&O3ri&)+*@r#`E~15&Kr$ITv85~ROqPp)}Ln%-}I)i}<4CPy+xPB`R5Pr>K{ z%swZJb)H192`7EO{_(7z;Q_X;$6b~6eBxJp< zDbZ<9UaFu9fWRYBl!^j@ZP?ircCgx9-{3hlU!VOSvw^PyYy_|*0|3WNnt1WyWX zfp0aZl@MTsZC7HepsdJShT(g4esjv(eJdGe9^h^EX-aeo5Tv8A;XYt(eBTQ}KtM=?1TFAjeNAzOD-mf$~UqfR7zIBZ1_ z_-^Z%6TDe$wRjq^ZDS(Ak5~mJ<(K#sWyJYmvTraf8f`0Q8#PzDXHU0#j=wk+K{Y?_v{ryRa3?!~%$TH&3fPPcO|)eQ;KrWZl21uk zM7!m&OMevgYYdjNzNkAo-t-S)9r*U#xm9Sp;J%c5Iqy5;yfy3S0 z;pcM72rgKPFx^jSP!jaq&=<$C=cdgRha8WnvI}Mzi4w~I zhZPvj+uQ8nAx;6sf&-3ejMUDM71pv|TbqaDSJ`tiZfM7R0w(>J6jcd6GAf~9JhwZz z(#RusP;nQ3kBCNE?=+jh41Q9#ZPQwrm+vRL)yV4ipducR1U%vWos$Ku;F3ETK}X3p zD(V<^q9!W|I}#ORbrq*`p2*7rXSIq`2hl(vAPP^!coIb6{wqk%$`v?Bg~&o81!BP9`tM<=G$$ zzlf>Ra>K~OjRO4Swys!r-k{=D2#LT2ZeDYfTX-!x3*5%TL2(0-LA4hiavo*4e%{0} zrjJCb;Y=GVHy}GyI@M`z2sG|SH*x#&p)Cvw_EcodO}Iz7fyT2>0H3-0nb;1XI?V6E zI(j{ga~buw z8(a{_Wamdy8@7OB-GJ`f3Qh*?$bF7ReZoa>yPGIC3p}n#C+=-d-NY^JwnyDGtssn5 zlk)JHt@HS{FjgIkacJw5w`bL6i-J`0*!2;c;SY?BWw41oY;>DV=p~QVMO?fiSNM#_ z^2BF!$38EsV3m}Kw?z1!-+0N1=xz(zA@M8x%?Dp3QYgav1S00 zV!Nglgq_m5cSNX)iqQTtE7OHNDf{3q>`6Il?!usCRSM<6!LV;;9Q>_+*H`r9UqK5} zKUVph>29B9yI_?vMcE4G)9KhyfVg^INnxt8F8-`Q3Zvmw+tt~*KZ0eOOGJHCBI9b;e_F9?OjgjdBlD_B?8{#X z)Rqa;abYBLhG`buh$-f)-j>low|l}0@69lpZJTQ_llS~p0ffs-FpOv^uKU6wX6G=9 z!+M`a)C=2{?ZJ~bJXRjHpk0ko*A-edvP;VozcDB0h`1c?kASuL0&NAZXEOlh!b)V# zroI9zk%fV?Suv~Ec1ptjp{Ne{5Z{l*>82bzDgU#IT*YrwZWA^NbtmN@`S;PFC zdF&}W7}-B7xCNGbfm3tD1Ftx(7_RSd7rK9tKeG_g?v|g_`u{O_S^u3EA{^8K z54;0#5I1V_&9)~@=MD=q7qG{e&XrnIT&MWSi|A0>$gK0ugGo~k6^8HS z0oyi)*4qrcM$Z($X{>>vM8$EoAnY>(9DW7c?ZL}#IpGXs*W7S3+c&@NUfi57`-_E^ zDh=W~oq5u(2)hc$m1dIWQ+Y=OVcHpOKg`3WjFp(SLFzaf-t!qUngwp(<=IsU$nyyc zVVDU{cOS=(SSvST;03_5nYV#VH<|qVMx$?_Xy5gt5N)TL-G3YhzG14_IwU1 z;IAxZWl#=!J5~sE6^4i}<;rW5mgN%}o@o=f08cf~HpPN)$TSx0FUTG*3xew^tIAE|2px|V4J_;N#XC9 zAb+(hGOHfs2QJ(!@Rm=u{P+jkR-+?sH{U~o*t)Yu$>F7t9U^x40P$6Nuto6s*j7DR za)Ta{cia>-z=uXK@2AgDen=iCG|vf2{Ajs^^7hnJ^ROUNr?I=0@NvZ~ML|o@c*vnZ z^CP!diZ-9Axe!`zSAWT9ItxyCkvTG&Q|&1b>L=syIcKhRc!zT2z@}uhSc5GeZVp)X zvcu6ldT2wzjaVPvGJ^%wu9yyx80=!0Y^;0uDj;%wkZ=^(Hg!x4$0}QW+&8;9kXqoJ z#aj6iel~Uv4EGY7Eee(suiH0zi9I?il>lF^<^@lM`^h%|zx@A}STz*H3iW9#0K_p6 z7vBWX8_UwWw68j_ebiKBvcM0?);BP0B)S?DM2_)sSl}rv6b}0<=r05HV8L>8%iea$ zjl;RhBalpkEsaqB%gG5Ff<+cD$`5F21>PNp<3Mc)TrAo0@xH6x0o8oRo&b4-Rjmt4 z!WcO1mf-5zb_Jb2+}epP>=L2!_MP~Paro&-Ad!TTpu)qyv>JCJK=U3$B0@|oN zJK_6%iWlTa!^6P^U$BqQ%>rjNJD1J;X;#;m9<0DMt8P^Ui}Gd_$Vt1??9?oBE3Nc% z_8hu}g5eN->#Z5A3LH8U{EH7qf`Zr_#OiR@Xk)t&0N&H?pZoCmmguTl4XkRzp3zbJ4kBcC_izPGnk5PjI}3E{jrR)g@%8LDAa0j6i)^L6m+*V*-+V`9yBYMrtKc?e=GP7 z`2TTyCdcOa!W_=akF%=UV2y1U?=XL*6Bu>7!wn8%9}?Txms(`2$l;EJ zgS$tHu+zmduB!6_vU>}y1utyN>I)3;uo{`C+ILovH$8O4PrmLeJ~onW%Q;<9&>hOm zcYGV#r;l*fI~$5S0_vLf!EIsP;3EMCFm;tf6Cv{sF0@-BoQ?egXaDn}LUupW#~S*` zj(ZeL(}2&iD;$J(IGo}9Hx298HdHCGODK@(myg)6!X%HcD3Lx!_ zq@4*_XRHnOj2qcXsk0!-j4h{puh}1T5aP%tOBC!(k&J>sLUp@E+&p5f23la<-2Ka8 zl{TzzM3CAc@dhzBS4?D`p{3w>L4+(0d&&tyN51=#Kb^G#r_Ywd|6_0s-m#;5xq;pQ zFWc-wYMMv<0{H|LjP=ic5i(ZC4dzfzIi!zoL0JO1d1e9LaUu}kzUpziJT>|IfRo$q z2);OuW+YzSxe*AA$XX6k(==ZQ_$uPTKc=(X@G7fS7zGkJ6!;?0L?tcJ_vVyekVn|L z_>dco+H@>5;S?&8g=2ER&DEO%$_pxlC#8DDDNZY6S z?C`CqAw!Mlxj@63rX){C#nv7f>#-}~%6Om_l=$K-CQE_?K=uue&1@b4&V{Yv`0pHJ zlLfBt!b${rB%>VUV6kg_KpQ;SqG!y4fc6xXVV$W1<@2mK9SBGN7H z#zyuqE!qw4a<>X!wnaT{G?*w1^6>G!ySp^3AK)J6+G-t%bAWwuHUewqcXKm6fwbo3 zfjolPfXy6^Xy|N3L|^dq+gecW47(vXvs9d4j&4MO13V{NkRZ~0aVSLF(sfx0HqWF* zwH9>Zhu>>Pax!c7@(_QqLFOzyTnrk3FcSNHYp&$bI?-ChliAk^r}y9kw_~i8*Bu2t zVscpH9^tFBDyCBiPBv+K&)E>!C$oe83Qim+Cm(X$FQ}ku6i5n1`N{G{&=sqY$cTK| zia31RL){1{)=F`#qjiL212<#|wVxd+h8W_xr3FUD=lg9r=@<%vY>{ogGhzc+ zO=+|82y2XkxdJXw;7Z-$9UhWkD=>nc?A7gw!w!Yh#Bk8^`vSh=G=q}`r}i%3E7RDi z>=`!_cz0{!)gYn|DbB z+3?HTV}JX{HrK5c__>ZV84)$v;@SX~u)#B}z?W*y5nv@O%OoceLTcJ51ua}3mj&_i z)2@iLpZ03AoPQFc2JXpbo>tYsae_IG%|4zA%N7I}eNXQF!(%r-VL{f z4YV6!Y4)nu^IiHkzM-w!(7TaYiu>n`us{3C^9z1^tzxQYTr2I=E@8kW0JgC=5S(Ks za_*rp*anR&MAuipOBslZWPofi$J&{9Q9co7X$2ABzO3MShqE(apH1e0HiKK(-eWoq z<{oxKb)7aa91T+zx$J|e-`wvMPlOnK`bl8))UM(9S7xD6+I^hj_EN8!@IZWzxdJ5; z!B4y-sIROupwg_z`-YOBm*rXspp6+{*`E=;W}Bo^8hH{lD>=@a!=ui;Zo{&c-p4zo zZ@0dPgy0IXA~~LoP{4KO!%Cyz*r~#{qxA(pjNNgA_mg$P8EQ;Almpi^D39#5Y%n9Y za(|HGa&Lm+*R7AN5k7W9t8Ny|P{$Sve1OZbf`_4{eE;RW42IfOTIFE-)lA-QSLH`v zBM8^Ht|_nmNKOpo{RrDDpEBJ>N9_Q1ReLIjE9|O1k|>`SCk`DW85}8a1;Kn-Cx+PC8|*cPodL+(@FyI)P#}EH>+W{9I%43!TU$!o?HTOn0@g zD}XsQgC=j0N5jU)NEm%7UdP7TyWh_Nx_pFNA8m@QyR!eSt(WIquir1vIoB6Z$-jvA zpX?k4rr#jJ*Ul|Og0Dw!`jat6xZ3bA1aQyFHF};xf8z8weeP2G<)or`i#w|A6`_c% z4~FwEx$m1M|9bIKC@B6?5I#q$3;n#?&ylnng7VmtRr3UZ1Y*s19JWir(?%g`B|)^q zhV8K7ahU~ey9G`1O)+FfGFvsJE<3p)=LSNEb;QZhbSyBD+0tW=4Sa~$9ffeIgQV55 zw|2#C5w&3j;R3XlUmutIvpO6O!j&5AWGgxNn$nZCwCsX>%rL>+4?sSajXOwZX6Ni{ z1@FK)Sn#5>I}60WfeoI}qCU101ZLKM9Bm*llWc`LkFk!L!)Y(xmMw3Q^~_q@BA@-S zIxwD0_hM7~m$?j3;0bv+SU`)`ldG?R7tK^-Zqpz_vxU=I+T-?8vHyiE|G9%A<3BBwiA+2G(WxKPT3*iasX103d%mf|0kPeVwh0{q=Z1yTtk1`)H z!=%Tfi$eFx+KUn?w|LMdp$uR#%#1!LXpXt!9gkR-ixkMjv&IRupUr?{H3aC2eZK+` z#I+n;Y3^dQf?%3tqaN~`%Ar!H`Iz8ScLaai6_4(h^7OnYR00%om~|{AS9{T*f-XD{-2zB?Cn#MvUk|Bptb$`&8cPuLGWusS6cSeH)S;+X&_33tJ2CB z6lI$16!OcUU>8I@2VeZYlrh>$32sAE6_s<$IO15)f)Uu{Anu|bqEYcq{2?rHj|qKu zAf&RpDL^9}=AXradAg-$F2G0!GZdXJccxAtuqo z>iKFCDbzWlL7whr9sBZf{$-^@Jmk=J9)zpA`HpoWQpffc-tmCAc0pLM__Bx%G6(*l z>_AY{D6i-Hv<|*6=Ld(AhLYz4>-GFwW=+5CAq06xb8|bT$UtH84y}hx?2!buQFg`* z;SfX2IA`7AnHYZKUS6W#n5evBxQSluwMNNOih|*8$xS(!rMSMp@4M4ljOfmmSExIK zs%u(7~21hbXDJ;n)J+03>6eBiJ=nW}aJ!9j5c z@|RC|_zbHc0OcIXaK4%&iSk>j?fb*E%7Z*LJNQ;#oE&6VrU}{50!cf}4GucKlf*HU zdoSFmM$2K{^628MA904yDjA%jo<@$9-ksTZQQ+JyOZUzWk7veZ{|bD=&@lr%xF2&a zWslrcfCB)|`8eG_p9gg90=?|9U)m2q`2GvV6o@`E7V9I3%hpbSUIPg^w4l3bwDEb} zp=liT{TnZ3Y4?Ih*9h6;VvaRo1T4$1ATL!kVg}%Ku@O3^lS2lGxPNJH|H;P{jLmjV zCsCot=68+?zu?DatXNJvo3ZS8HZPyLoY#=2ZAG-4)XY7~zWXcim_{WdLxJNY?PEqJ zRzC0qja6qGPvqRNHUg8MJgi+o`8zi{DARnvoal*VxA@%bY?QeAHaqWl$>P|G-zH*) ze!pY+$-?j0?s7HR0}!o(TksiOVfx8q0Z@%A&x4=q1{3+@2feG9%K>W$_$(jlbWQZB z_x9MAIJ8@2btEtX;Oxhr1~ELSx^%*ooR$bUc@4&{dj@>8iMQ7( z*P4?_(i;L7p??^Yoj;Fmh^`*`7f+3X-+nMtFM+wjI>|0@_w3*sV~?`)11}g(Ex7p1 z(3RM!&2=U3qhK;zeBf_tuB2S`<~XFdAo3?roOYPltp8cS7W;fgLYQS&01m`ktVUN* zHk-7*GWd{e#5NZ$k(zA8Gu5ya%RwTWYZS7JOw-f#3iQ+DMymr<6EU~6;Eb0+Nj-fX zt`Ubz2n%ArU|+)VF>NX46$t0s>5Iej;pbk;+W-}|ngb4R8iX1;J6t2S*ishvr5@fO z4gxsKE?C*>)fL$up^}gzlxXrrZ;RBYydy$Fx5*>of;fV)kY2xSn-#TQA3< zdU9u8pBs}K#o))AlxK=Yh3te;rqitFbDMTW%tNceK`C}a@F?*U0c_v%A_ccew&Zs8 zlTdl!pkEPGb_SoRBiI%c7WhzEldb3_;|B_YgUT-O{bHNEjWdD1*shTIH#L`spxJ0$ zL2h8`ClK;2M+J0X^qB1&Q z@aC50EF#FAFUAitT~{|vd__2u?ISCh0r*rzaxett@|NZFarQw#c=DyVp$=&K&Uz{0 z%3E6Tfn^`%fB!%>uJ+7O#Ez81>jfC2z_kpq8+?biiM&!yDz@najlg!92PGS4ClEdM zO;1cxu43@+82W)11jC4}CUEY&Jin0LwL&f6fz`RC0G#fRvZibJWxKV)_^ zzSVQSQ{h**dg>TUrJ_e?y#V&Wp0`5S18J4w=SA)X4`RM8)zKBe=^6olYV8`^HXe5JdB@y zx@;_PhZj+-U7X{X*xinp?v+fmU4qe$j>8UfsfVXpfkp9{$|}J{#UqutDT$$xUBZLS z-4wRd=eg|2#xURHfF;$!y^g(96L$-%*lqRl&W0`3Ox@hS5mRnRwZj&7KW}|jMP{Y^ z$)kn0gH3dl?P=^roXM&0a(=;rYUliBcX-%?aHuN_Y2Hhebabb23D!|r`TM&6o3N^m z+?S@cSq%YKq}m3%DJ|O{pSi@Nomk=SkwlKIw8igZN5Pb3mPV?-8q;8iR(%3u8ur`h z5zyeC*$9jFD~g;@kbw>>h@cD|GXoYjGtD>3ZZG*Lx3^hQ4#k1@`}F1^eSF>hP7GxH74!_s z9bXTiww^721^zYY_WKox`{V{+tB1?tsvP(&yTM6^3FIDM1R%-gOAOy&m1zkD5hT*t z%Hh^7VJmsw#r~;N1;p>D5(T<$4xHuRGB)(!{-w=vC^;lwgQC0IiA@;5z&CD|O0oVc z3H3-n|4@+oE(LbfqyjrykUQy$Fj~M2Xo4GX^4*oM2s<#x1Muj{#sCSR1yc<^WQPG} z+a24v)~p*MPv&A*?;xRGd=cQMc+#-1^}@#NsmJ}Z!`|fhfZ#lVt~!&wYG|Geo2`^1 zxYH`w|1ywZ^tW1bfdEqdrmuxTpESgwX*29B&({co{$>{hj({&Aj%8D792B@t;_?ae zfLKWcZ&JK}Cen=&#Yf(kCWSqDJs8X;)(v|oA8;c9M&nDoK#plw$jcC8mt3>s5r;H9 z#G8?CLo;)v&K9{oIl-0d@TO%>m+R!S8wdfINqrldm?L3S$9NVp_BZly>@PR0-9)ka zlOsOGW;tR8Wcx`R)Q}!83 z_KSgV0pB&Oz!l3z-3E5@S^9FjDa}U24xow2yRM(GqbHZec#Mz7KE{b$IW|O&o!_?o zk5%88z}SZ0dU|a6WM`kZ?sLpIk)GIGI6K&G?G6bO2j%NNF)DE*0^dxJfF<5Y@z}ZI z-lb(D0O$IoFKL40baEXq)!WdwNey1sWHcN@o|bM8xg|b+3{PIPy2<_pr`35&;tmuH zfAwPpkH*&~)Qu<+lXpZKvRyBe3J214I54Tf22A`M71XiS!f*V%TqS4Fx$?*|VB$A? z<7ag^ijs%ifk23nwk)JlF=8P5Uve1lKq3{hHgLQnk&4Y?E_hSf?(^1+Oe!9I$cKcP zR_s-9{6FOu@t`KYNMlkH|L!yB=@$p%@5^K;!%#w=`?fiRa~M8XpSZ%&$OnRHg@EnB zPYP}oTerCw!7l7svxEgsIos`yhk_j}a0?#Ck#enA0K;LyOVnUhBK$i=3Je&FT^(aH z#^=sO-ZH`i)9eD*du-eQrk}8;Lk+{T+;KAAZh%h(pVT`WrecFHuT{|C$avI5#NUz;uuN>Q-BVy^oYxHE>P=%IwCX-2~G z{9>Mmh5@v+%7OsZ{8a2mW$!gF3Ofp>mXX%swIa`geNdRLSKhN=yq>vhn1eoEW7{F) z6+{5CjjBjO&o=C^`toE1&E(R1~9L&1kVb`}(F}YBZwO+8X7ZOIb3<8H-7Ug`h%Ms-Bz9h}K{Bp%z`EUAeyyu+ zbG2Uc8DR*qQFcd(iTM@yGwpvHrSv9^^$fT?YOfoF&Kwb7adk|_U_o~qJoN=cP|Rl~ z{>fqAv;Tv0hDyzjm}u@_yM+mHS%I5Usc3DtrP{a$rEAN_uib*di9==suw)5%)x|Or z?JGBq4JHI5ALj?&nmizAiBaGHwL^Ul!5~I-LcM19ARJ^vBGY8E|0Nqkc96!fx0OjY ztwVc6l21-~5XX85ncWeLMRtKZVQ4%bppG?5rM>4I;ozYBjz_ElKtOYYS{053XQKjs zPMhD@kw}+2?hfdMb$;-}*i6~W14XD5?PY7@wr{h7NqEaCo&a2DWs24m9CjgP<38ee#|Y zW_Yf5`|&w*rP;?%**2pB&gK7~oXQvl5`i=}a=`bWm&7gZV&s~+5&CNCgIzGJfN@C! zfi+gCSj&G4l#gyJI1x5r1#xcXP|!SAiHT)wCzUb9Xh(?Sw)G^^ciUIFc2wBQs&w># zEhkVjm-)N-=>tw_d(`}D(wcTj7G zPe4{J9fghq#o=&(3&ocRp0Yzd?eE~))kSP7iw38qzGe4xPz)}ZnkgnZSZDWG1uj|> z=2c6Js;kuOBQR5J@d$-s+Xct*G#rQ%92PHEH)N-RI()_q*z94QD_|0hbuRa&k=t`V zlj<-zc)K@WESRL((P|(~V1oG)r|^G0&8Nk6!aiy!6}!PzTkDzab`XAS7(+d;q!mO0 zqs3<&r?;{kmg6nw_^pV5E8$W)m@c=`Ea=b&cf?L!xg^oRh#Dq1@`sq@Rya=5Y zw6N$lyCQfl_;tr4eBvF!4nx289Dc~-wm4yXvu|O~*ue!2QB#qog>KHs7tCYhoF0W? z6Jy$nPj-o^$LE>+dA|~G!lC%v{t}RQ;xs+pb~kaD_PBt-0`J&s6-tDXSV3g3;tjuE z$@Fp)$8A$;J~pEJ9?aQ3!}~_#(8T#WofoE_zt`KiSa6f0VS*vosC}$Xv0wu3r!zRG z2&S8gEu?l~eLXzr!alF&Pt6Yq>DFbevZaH=0$LFU?y z1Tr~jP=?iTi&N*<%8C{uNVzOrc-giDWAirYEnunS^xa%KE!0Uis^hRQ0TVH4*k zcc)T*NGHl}@8M3lox{#X@%5hLwuzIHt%-v&qGQSsa`p=!llK`$DW8%sVJd4u!aYo! zr81Q9w}!PC_?rbDhRYDhiL=wlmEx#$EMi4i5cxv~=(w?a7WdQkHzL85#q`g&$(4`g;u5g=3ZIGgv&F7Pk~x;ZBDIH%b9iD=sd zKl#a#n3zigPNVD+O4Ip2_O_B07^=YnThB~cy2_?J99P{R&28-_=o!XqPnPKnu1k0C%XY={V-wPJSf;vRHOWyg93I zsv{oS7tn&%6WYp!m|ai*a9H5y7u}~9Vt7xA+4>d4>2kBq=@HwTRfe_N9X;(NX#XBc_ zV?GXUL=8;da(lSftibIIv}3L>(qw-e-eGFC>pf1*KjC%v4L^GO9?)sBp!=}UwP>}- z4P|o>(Z_yzUMyJuGB1M`ND5J0;341nAuU4IO?GBu@~5xIJFdo%g@|Rdm`~0rjahE# zo41$6#oGDc%wDN8IZ{(x%~G}4s<>JhY&)L;@W3?)wUx|rWLk(*HuQj95Fl*M!=@^U zx;xof9yUx{1xN#PDmlc)c?gW&kNn~mzR2G0Ew)WAdN3m=VuJ-cvQY>g%8%3TvLF_F zE?8h^W>2wi!Oon#olDblC6w3#J#$Z%OQ0-9{urQR&PyVahxatFpCP*2|GQ3lkS|*Z z6CdCK#+%;~)XOcmC^8`F?z3RFHZo%S-&ZC^fiAUM)3tH!jsSI9zs~F15f_c_6jhVo z9)|4$Kf5dB+a0 zA{SZUhj&^=x(DY82PNRco}$m1vEvwKRmL&Q#>75hUSJPDQ_{!oI)Q>^cVS`YC~Ist zVmH3rtmB@3E*n4xdpx#X5Zj406WM6EgbsUXbe44vyf)89wt7Gu>^;O|lxWyr01#7m zJ9dK)U2gZzdmYOk0K^%(voz~?!YnT!h!bJ#0)DuqAllU*o1b;f_4#9Cz@tO9jo#}B zF}C?Z9_%F$h@OnBOYQ#2HnMYP_`r-(1uUQ-Xf3t8cZvFuGT673R znA8)K=F)s^sXkcH*+eqFE!fcIOQUuMx3?`^Fru&YDPSUBDQH#ds_HOLa{YZ8AE)l2FO^zJnc7vNO zFDu;PWNvoBwnO>Wv(M60-ub&bb&PGouqfw_IYE&y`Gn)l(zdS5;6Gx=NgUufE)nog zm?CYA3jzO$0AOi!zaOuxB=D%q3S42~+BKiCgZemP^|{j9LvJNHTS{_F+ne7Jw9#Dp zahOTLFbk)dmVpOAvN;xB-`pcMHf#K?ujUr##|$D(9!wYPJ?lYt)=|KD8vDm-erTdm zJQ=^Oz7xP>C%qEFbJK@R$GJnfm6?RN*}k%TQzR~+W|9z)OJitT{=e1BdnPDch@Tzh zavZuO7chrQ$UmL)<{KLQQcv!Q18E^PcI4;NS^vb+7l?!%`C$P6=gRxe$MGc$dkYci z_wwzdXNSi^lxt}Wl3SGj*Ps8%e(+@KYfqN)_&Lj~6Fl|Aqp*f2^Bfa$sB)X)S3bL} z+OHZbmwVCA|Fn@g_TN+-NvT1}WIWfVvu zQR_Nro!l7fzEIL>H#n?pQn|Zd#?vj>O+9g$PTuS0@BQ(5jj2pgaO<{Futn>(P{76R z@t_=9&DQNfDZz($mU|LoFC{Kaz=5UUqBP8rzHYZHhZ%q>%e536alv$765Fi2wmWTq zH>fo1YXH5J^(ddig!Vj{R)CN_j!S#*C$4&V&+~U9Ub*Gw z55w(I+xf{o)0S_~-9(_Q94r9*Kyu*i>78@-0n$ab@h6^CcAVhLNx5#+=Bnb8<08 z@$WXXX0aPX&!2d*-m<~wH}d~0l1g>TJeuU=pCZ7kI^8z4Ky2nTk@WeXBkc~8|G)#1@|{pvr%Qk5SQO;*Qu*k zHOVqyi231$BYATFBagBdbtY?mVj0aaePvO;GR->)6`$D2YV-=~M^+P5u8*FECmuzP zKDj*og(mA!cEeb-zx@9#!+V4kj{Aj%edoV>=?O)Z=5=@YqNApxJ$iOtZ;i#y)%8_| z7(%g67Ehi&n#?V|I#TX%f#sf$IP5&8hCyPV-1A{@BaXXXKg;wSC4U!yVa77do^*%i zQeX0pd{tDh#zVtEbe}sjt?h`_R>dCxuw{0CUGe5KxbgB8Ru9&8B2-%^7kK1StZRyz z;q@!xbUw-wxP6FwWuMv(MmRboHzH)x34ZJK={q3iL|N*hKs+^?>aH7Lq>~1T#$hC7 z7PziV4YE%!>KBr8r0<4Y9LZgz5H7AXn_|wf_!G0iV1rLBFM^;`%iG1FRVzd(y8*b= z@?<>BHTuM|62MTCl?-J~E3y%9M!~Js-BTXUPc0ZI&H(Uk=In2qv+S-UctlKc0rEsND-iiGX(ND`Llj<9G?YxgRDpKx01%g&emmU1kf>PJMPru9rMC(;j-w-R}q?9iaT zuoGx*T@5uy)3byer^O<10`fB%?TfCJ$j`)K!yw1A%q-O=FQ2B+O;wVRtx4Dv9mMMt zZSx>>eW%Z;R^>D-5G9^Yy_%`%sbB|IoGtn9vI8EqM`ZD4jSFd>oRyB%wNYmLu1Dg7 z<5wP}FJrmtWCy2^o|{vQNN3xW3wZ>u#-jWYx%w{Xe+$a;2sLl!=gs}ETt4gTM{K%& z=pB4y95%X%rWwE8XQ*x=u+7q-xAcI20Ix3F6wac_kED8$B@^Kdqd1BV5|Z8YZBGDZ z)kS|WPE&J^E2VVUpNE^*($3e*6d{*tFDT4C<@JprML7+(r3pk1$P0a^(G=1Ca zG;cgzpKBn#_x~)-2QV~ibI|?VvcUGi&6wL~_`D}uY+vBOEc(ZjxkiI03x|hIG@r?pAW|{;7WjTMJYi6BJz;C+C|5Cneixh|Udf2XWgLeCK zef^e7hMM0G+1tzYr+k}T(kw~C7L}_z<=`&Lt(w0Ewvd(EC#~Kf#a{H2cV45!s8yeM z%h(9MY1NPg=F)ug?NuD*+udxM5}Zx)C|45Kw4MtNE9HM2X=g5&Wg2wNP`7iz&bp7l z{F?7qsBX&zT{B)jd1Njf=><3;K&R$u40LMt*9p+6`D5a=l&1z3TpqI3Y9yUeOz-cL zw@(41Y+kauhY0Bz`X^=^zjRB`_~ellD*-=(fA$bS9CL$VrOsUx zXH_C?MbD~vVS*icWbu+JHVS$^I}7a2`GsM3Ub%t2xIO^;>1GvQl*`@^!*a{bA4Pc? zGxF_h%Bx;JiwQ@@y!GjhD^~}Vj8)VuuyE!*2PB+%%NyIyrbBJ3q9@;6`yQq1kcm4t z<%bj#Q_U;#a?%5)$Q?2hU}`-vO~iLCBCY@j+2J%jNrzTsQDh5~<3lOFFnH^Zo(m z$Pti&QV5(-2So3>(8-kb#<00TsFT=B#EH()pwu0da#4^ z0NLivYih7xu5A@tngC)u%l|98J_U%|Rw_JXq$)}uUmRm^3ULeTv)yn@PgIokbOf&0f z%NVzxT%211-qu`SF9sk1Y3s~l#&C%8ujY|}DM^Ek8lVJhtGTvO4=d}>Y6Pm)lf_dT zGryvSty%Xi@TitgHw%15);y&(Q>xOmR%E50l*^_Kg45h{tFD#6gqPL;f{?d@MQW@k z_ImxUBWKrfyY~JgOPPef)|iL2v+GYiD6RA7aTN_KYWB^qcj|Jv{;U}*$g0)OD@#WG zSU8xK3gPKLHR|iH`g(}m&wu~XdX>R5x7H|{o?Hw)`$Pr+pX#Iy zRLOtWrAB?k`DL9l<;kr;{RNCE`GlYL8l)jTMBUHpQ<%R4?r#O(r1F@Lo zQSRr7_VmkKqpTu{JxFL);;)!cXAvwy zHy8B$m9KImTC8aN)M%1HJ$@*UP2;UA#UTJ@b5=Ke22p7dYqKaZOQz<$f3!^A$fe zSMuvIZOapBJbH4m9bI@Fl+o-JoIFP_d=4qfHYjiafI6g4p^0-Rlb~n5x`xYnR)Cs!QC3OQ8&=lTQH`2y}M!2p4`jz-B_uf3_xwUpcrMYazvyS^}4%WD|eE`Yk>x)+R6KB>mE|AyxZch`&-qw_DxpAx5MXu*y3wf82hpTkIBg;}2X-$2W z<=;A7UhWh(!39veh{bz%L0d3$->DW?E|6@`yJ|R3qLd@)h26Y-%!1#)y&6KUW;n~W zOU6K5&1SaC<8CSyrB({$on?5YQ-7;hAm31qTvxH{Ez7$AChn+E$_s|% zdc&=Aa};yRg_EJYfA3}LYHG6le!ckNFT4`7++PqT7hZ|HR>2FAl?ru3p zR@P5$&+26%8*9{;udeh9w@G%I{R#@U>>^1^UN|*%*~vBTKc9P#Ivn>b!+#eb`W?IW zXVAJR?C-*{lKTU$^K$tt3MulBe@d2{IhonOH! zTqG1*S%g9_xu9wWv(@X{C~6X1Jw+_moja?}3qqBfYwM2OQ}e?G2l+1lw{m+QWuKaw z|Fsn0jGo^f(SGFuDW@ke-e)D+0j`HC{2X8D%hAiH2D5lx$l!;{Ixieiz1)AxzCCB) zGB4$?r~%*^&tp@`(6cyeb(s1)KVOL=OTjKmD7;5`uFh2g`7}$of&KV>c7gO?@Pnt& zx(k0%J|@6J)QVgVr*qe#3Yg5z)xq49*WTY^=?SS0<>H6DQ_9Y$9-OcIUsVIRaLNai zTPKTCK{r0`7K)FntSxzT-TCMCKizS6S(}x^<%!D)_?Zv)!fA8z-&O5WCrrz7J<`Ex zl6MC1WUL25zUnl|Q+-)7l_$^gwUNrM{C$dR0K}z6(x%yRuKG>B{C|c*UieYU-KVH^ z%Ng0|G`jGc^n4;f0=m+?S(S98o6BEI)63-ttgoEVmJzQ$d1fEn)m(A8|1p_LgVxE; zhzs9IzJIr}Hm+Sx#A~lI81^Z>vrCB8MSizdzV^vj$P33we)cI&?F(w2@-C;)mR$9l z|_eamn`2hxs(<^SGTgW8klV-kvxRb|N45Wc#Ld5JMQQ8uzm*p|Lf&g|m2- zFM@0GcsY>?m3zsl5ZsISnUi1OHvqCCbez|fDdR6fSn>dZcOZX|v#Y%aF(9RVK-lK? z?OXPS6OoSWk5i4G=kz~vSvwKZQCf2<=<_1_HE(rrKlD6ZH4|ChyN_hI`A0X4$)*EJVf?oM@$lis+ zBQM7AcNE!~+o?H#>MY-F$tj4G9AQ7YYQwtOZq`H9thbPJs2g2XDn9C-P6`G4nV(R=^c zPn7g3z1vR*wk%~_`;GJJ{arjV%E4d$US*vFMOK~)N|2RXV@mUrp>y6`P*;x2M4L}6 zfa`l#McCe3VbK?QK+j_F@m{cJ6|sPKE;hzmTMfa!y0c|lu9It#O6`IrKR5sM@-1O4 z$#3)925zZrmu(WuZuyo*$ry65ylSx5MQl}moUGy$!MM-0SGe_0mg>{dVV+mv>tuC` zdc7Fvc~)Sgm*)RQ`pF;T{^{+XR*>g8LcM1Bzbdu&Ccxl8*q8gPFXgP0K~6&n;!2$f zIi2o)BCNP4%Plnyaykw{OnnJ4n`I!wNZeCFPva6|&+a7@jC3{~co)M;fG%(7yKqSY z6~XwN3qV(>fp_70Bb700me^bNzB_1@|k1M>&V{``jF{3VD~6POa}ro`L;Y zgYqo*&#yEX*7v+RfaE-N*KCdr+KY0_gBM{KyT~)`mymZ-mLQ+}va{8(0Be12i?O4s z#R6i_ni2}?Laf~AJwLvmTHnod(F1vI=40-F{FSMvnLf{#3wGI%NtB)+G3pyQRcbpF zztZ;whz+?8Wdwe-n_oCb!9tX>vTDx9+}q1p?Iwr9D*Kv}tLLw=>eNtMeG<1DTN}mt zF0fXWhZpWR$bW{$F6xGosOQFMx~BZC&M3Fl!J2uSlWdlR>LtYZs zC-wT9^}J;X-kzLeogl-XTMAa0|mP;``^NJj$qm$v>gNQLysS8U?2)gKON`f;RC zE86YLb6kA|`SQNXG}`^o#{*quY0k*}1V4G6Jm--nH;=r%%zS@1a5uJ&G^zIXL=J6H zo@H|YQ({&U_i-A-*(lGvS?p6cI<@A1rC=t&4&+-}A2WJ&JP( z@-34k^6OIg%8ILD0r_F4p6itdul#+=SUOclL)<|5Te&!LV_LNnoVJq{1#p z$W^I?mnB;|kWVJ>LGZe)ES4R!=8u6aMZuNkk&UBKZV6ogd6(+iDFau!r@>wnGr17t z+L+(j?B<8}(lKzTtn&BD?p+i}?OEIYKV}hxjQp0l`D5fY=la{qP_q)UQsfQu*24^} z?s??iU61v*M43Vc!OqGBE1~`%?=sKT?mn|z)ghSG%LB7r9U?j?H}LH8y62R$8|>)i zadoPJ!7S?o@UNA(k@|G0eGAXzF4e6vP_Gp20A}}-#asIl{AjtYw=6oavFEmwKy=9K zk6g`TH%HWr2Ag`zV#|I>6!dKVYF}|=Le3Z;$T@5Taz2u`uYegL-}3mDX`>+bavEu0 z0d+uLwK*;Kbc2yTO``@QeHsQ0e7)sud#}~^LO6|rJj{OLDb2T(+fObFR{Jt~5#q>r zEfnNXRLJ{}TnzCIwzr<^pY>zTVkvK5*}0qM8p)kKcj>#C9dSQ-wesq#mv>pSd}lyEo0CMx2VI1aVycNx@X@Za3nww#|qaheA4-9bB z<-X{iowhfM#mCk9pMjthZ&}QdW{_`2o&O5PD1F&;+Lxa=%W49awweE4BQIqLEt^So zX_~P2%g^6m9wtb}dvbj{@83;%+fIG}7QdC7y93Rbo)He|)kn<>fOa;v5I${M21^8D)cc+n77 z)=Hb;>nR@|fnsUTLZDbWz%->M&o41F(7fdWcxy`)RiQzw*ez9_oSq21yE}8 zvN=j3O2|FWT{vu8{eR~Dis5AWiS3kSbyN#;8--ADG@`zZ<_+Rk2PDGFT6stCCge|x z0JEeYH+2D*eg!hU$T{8-^3C?Mh6uCrfXaW3f@}h68c~)T0LRlU7YMUzzk-{fD?b^! zQfZPpf^)adVmE4tBP&gs#c0?-1)qm2Jj0`vN8a+CS6P!aE-XKONqJ)fC_i}=-&=!Y zI4^n{_I2_L>MD{OfK8$dG%!EsXPz7{02vtPTmy{Ow-l@lAVPs;W;+zXR+cNhRp*C? zx5~ZjbVCn3xs^Eaq@!<}C4B?rUIrJ~_VRau%eUw4a8_e;1N+`86-rqX;PvfUSBBp= ze+&3|^9Bb$Z}!ACczW|5q;Xlf0z`t83kt*%a<+#zgjMxCAEsq>7Qh!FR!2=k(rYPl z(I=FXFRPC5&F1X`kx(NqwR4t53$EF`g=uJ1zTX);G<_803?PQQYnN*bbCPe>hu~tI z<^NeGFIYWw=?dc2yag}xM9w!JhsAhUX~ zG~#dOf*dOXc_%Vu$QAMgW(7mft98FI@aW_VGK`_Y>sa15^X5Rz;N+h?3Z$m3G4nzP zezm-=u339;mBSi>fbz4}su!P}1R4dmj2pNJ^ID+%W%>Fu|H!APo-5PhKr9f1wxlj4 zOHD!Lf^sB7(9I~-!a=mcUk^_ z=Lk56RdEM%S>6)i)symnrjUgUTJ3VdDF-_E^~NX#x2)xVJb4X?Jo4Z|6i}Xfhyv>6 z{<_p7RbpPbL3WmpVF(M#TY<8l<@$RWpKv5*O=|x+po04>e{LiK$$As0&~kNS<)ewG zhI_JPBWgp^kUY4+g_akJJ*)8!F-y66gt+AD>IoJ^X<5(Rh3y*h$W(nO0F*C3U=`bB z+iEq+a&gDBovBm@j=Yyn$~`E5MFCSUYH3lRe$DmY^-hWORVC&hT7Ufrz0?mwm{kiXUc>mIsAYIlQuJ2&^bheW|` zKe-+W;S?_Q-+GV+TU-X>{0e3&8rDq$D@^kS@ojRDsrH~d0a%vnfOpp#`NiylJ-(j1E*a+ z(IU`omh0;q_gNNX^*opVcUk^UApE3JE~bn#s_qTSyIKBUMbkN>+T-Af&aEktDUffm zte#+U5=e+=q>YMv!*3J0LqNc!8o!dS$)~KB+e{L?Ya3t6@AAP6zm8pCF zEQTQW%X0(aedS%&{_}qwCQHgx1~*{7djEO4<)eD?D7(@rQ7@2pJ>je4J6CXQTr7p5 zHD;RqeHj&QDiqsE_$gx%`EW-?3g!z;&4wMwdp#J1y zERiHy)I?V0`r_-m6*`S1 zC^js{rTmrc=jIH+5bLM{Bi=04{qYWfV6KR}%z;~7gZH-(@ACI8Ju`J+Bg8r@^$3@)c(1`X(oyf1%-H)!DS$ zN>gsJ+}~SHYq!GMn?^TgvF^DDc1*njADWTaB4!zK*3G&?HCmQ4(KqDGHUoL*!(aaj zN>V*^7JfJ=XZ{e#Ip;0p5?|22!eIwF9~S%PdhJgGrTk?NWdC~EcRP?6y~qX2&^3xM zDaKu)82N^rIR|2~`*cLL&GLWIY&*ilB){Is`dQZ;eMvOMbt6+M#7wdax&4vz2<{5R z*tzzZp=bRoA=i+zak78&)}CK~2F4oMbI`w>e*oetjalV{&=m)t#WHA-J8aUDNGWrE zLhi---xc?9bA5Z(QCg1ZU4bCED|T(ozIBuophy2oC}#(pbBuhuCm{JaCV>LWw@a(< zDx=h%(-#h8O)K-o^9*QCQ^>_M_LE1wd)5~PQ&k=kcmKKl)Q@~68;&}lBKb=+2V5&) zyn{Kpr5)l|&19lCFSv}~0eau|h`m%P?HMwH$jFq>q z4&vf+_ewNOkWb>9ge+y@YwOR4wZqXJlv;U_{pUOE5+v4Of+sz)eMCXT@ zB48}gUWF-izChmIBT!gJ{0LKq4!JQsDWV?Z`Us_re|reT<$NjG!XVzVKEpNHvskwa zjcU!Z)ZJ;^QAQ9vdij3FQf9fh$2$CLxnmLNxU)QqWuqf@Fn{HlnaF-(Ins8-0wyh_ z&r|=dp?n>od{X2J5a@{3%WFEkTloehYRlt7nb`6LMM3UM!&62ssLM3C(()i(=PUP@ z^qi1)h8lKqo255~7v|&}N>p(Nw^`CR`zqW(kn0>;CD#+=o&yRyyeRemg8lArBHS$2 zc?e)RK9E{RWT`XExnRWZBjt>rh58L~cKF2S}ESmsitHRqTl5h@;7gvEXl38E%d2Nx$YpawdFYgTiYrBpW+BXzJjv!`{!of4V_3 zo+$})-rdnT_JKF$8~~>@#d$ry70IqNu~|b?gHDl4V6ak~_VT_f2fu?0vkZqDjz_98 z8vT;%-zBg~*%$NK8Nn^R$W_;d{iJ-pQ+5O;iORiqBzpst>n`sISKLD0DVFtDEhPEf zuV-MJlXBfGVFIb0Rg56Yc9z#`SV2y?zsw~tC*|z~#7KYsKY45ngpl;K+9>x?dI2Rr zO1uAn(152J*K-&_FhN0q39A zDd76^x(Hl<`MX=lft*gcIABIAjAe?_??oOt(s#6~r3}q~l*L_owpA7}z`twb>MU+g z2bh$LnhR8OQmP4R&edsbRVkR+!~lG4w$}jMnp2hy1zq!W+ZW|O4VbNrLzo3h3qW08 zuFp1jMLd>I9qHm0KhF9}Z?5{f*wM3|E=f$bP2MSy$|Ih4@Q2%wAmGWmOy~xcAh{;8Ylde}ThM`He zid_31Tl>u~3sYr&T&y6iQ|_gCd(=-~jFGTQl=T!*QCTnOyXYl|iORcEuM18;z7bnn z5MQ1je#!|KN9y`C4LHx8Q4%deE?7kzvP)+v&LlqoOHzJ-* zn3wcOn4f+N_F`xt)XMTG;W1G2%0PskmxmU@o_e|dlqCsKPr3ePBv$GWQ#~kG4);J- z(HZhIa=|LJgIJ==_ZW`=eo`*jL|tg|?Z_vW+t&*c6YVdH9A2Q^Qc#h9LwPClD~v*; zIgr(=6(<`dZjSi)xpzH+j5_g0)f5o8l-B_SE=g|PKK1h7hLZn2U#a|*z>lFZOXWi# zoV(mm_*@6_QRR1&+IGOd^1Mens?xVo)I1Pgmexv6t)`=38#)(@4*sFPUwp{MB)cV5yeHVhI`=E0wI70|c0TDC@u5Qouf{~S@W!-Ajc+S zo-)tHP)plDTvTaIh1?H~i^^ibfQ$)P>B@3h*5>-tx=L9&kZ&q?)%w%*CB$&RDV3kS zjUID1cD!bo$X{yDvgK;Bsr)j#AWm$}GK|;&gJrJl^!i!PpI3{N&dS?6G;>tG9uqD1 zlt>*Ga?AQVYq0T{w*ox}az*7uP)RCt_gpDT_j)s}Q7$&tpIkzResV@v4zgBed6&m) zP+6%ia}$i!Qo3M>1t2^?S~>G^4?bxw+3e1x)C?nEP!=Afn#$uAM3Z^DTh$@@lj|&A zqbxJ)j~WeL%2HiPZwz_mc*vhzkgcP#QV!*zEOIX+bEysN=7MUbf&+Bs_O4!Riik=p zUuR_y+CY?AscqM9i~V$!f}11gumKxXmbM3tVk_MbM}Dqg7x>7~+*P>+ut=Z$0=rsc zR$*AdhHnIeRN&yiE#KqRV;elWMXakHqU^?33RZ^N4E6Zt_c?!zvX%!ASOm_lx-BE_ zE-y`*?JCI77sX#dse^@csEN0yEM1t%7QFq zEw}|FK6bc!6b>^GW+(aYYM4WmUH-NjWtWwGMA`MM^XzIN*krJWa@{C@MMc`J5bzEJ z;bo-*L3lfhb}7UKL)k#9XM{Z<3h znUos*Cx7(|z(WzWqXnFbGB^n0j1+ER78X|I`pIN54Mx^EDO)2Zzsr>Z=F=+Wi zXiB+UJ*)uv@oW6KzEHQ0Qz)i}#-Qcbt;j=Uig3g@#a32z#GK`WxMEVW_~&ISs%V^3 zRXA|1W{vEes-A;uwU@U!6*Pf!zs0mE=k)-gYRfti7*$8PAv?B*CZNkLlByDuPc_Ts zbamXXPJrW2{_5ZLSc{;#{Cc;9zzl`(RWUceF4r ziaEI9CzinXQBul5++~N6Rxk-e5kdL?zRT^SM5_PfVjGrGZ8kE?SxW2_{^WXAlxioJ zKl4mhHR8+q^DY$*@{h@= zmYi}J(Fn+_?TF`amc*+6r*gOD{Z77S!mEhtFYx)4d!vRLAlhUQ1h9u0u#dFr6Y z98j06c-_i-H@~m!08`mj)Alt%pSrWSiefUqmeRCB%o&j(7fp8p+R_vJVj?PMWKl}~ zmHAbod$sOyP3kJni0tL_m&c_w6|uwRx4|JQ?XUAsRKom&mY5o4klfV2f}U~FQzM?PR}`$|1d5{8Uv`n%%2{I?(h}22D1QYKGTW#Wce9NW7d8QenE8dF8%B6_Ht8uE1W?Mfz{8`SbyV)nXr z_7X4t6K}cLGCYVLIcG0~SyMw{@{@|eVFI;~KP6BL`B5eIds?1I&zCp>Imq8p*-dlP zM%Hd7AO*Q;^UId92}nU{>MT?d6PSWLC_tWi^7X4=SAKFi226kmlIL;)L@;vmelszz zK8h;H&#ws|esYeSnY|LzPk;(~Zr<^1md zf@igK$0;lX6EJ~XJwly}JPI0e_DU}?m1H%4e93v`A>Ufz{mR$BquzeYnP&Dv!1EL9 zP{JW2H4dnPWJRB&Ch?i08X_k^1I7&n!y2Y? zrIrdaXk?C>#C4ADE0{e`5t3iNpnlF#P>2(-gkIzlD>6r6!keSo7v|v9`>EP`M4Y4I z+^2dMbM+PXK1Ycgo|>vMiOU>RQ^V{hJXVrxUxm_f!benUuK*l4KIuYQR^KV+hzU=8 z`TA%4k^hViv6BL6V3pzW3aHa?9)9KkdJxe*0Tc4->qhH}_9<@J$>gN_E-c z20~2gftpWa&Oe$iRO!6V%;t38{It*`Tls&L#?6vHWKJd6O?`o>(Tbc;HdEc!xjCb1 znHUUtU?MMLZq58^?bSZ~lQZTI(z5uQO}W@ICcM_=>1+M@zi=%fuj6_4{yFP;dcqNX ziacudyDnV8P4_hq7SKERRAFJ~f$L0?AG|XsCzd|oLJ|~=T0z5HJd8|u%>-$xmT z(wKouYZbZpfF@j6r2*Tser}3?zF$qJG?5Un3?O6#%+;L|qcq{6%3CR1P(6Q+^XL7f zmFbEg-Cq8e+P>?-65QT)%_lk4=~Vhd!*X*AvHO-L{ZTd}WuO99=J~^5F~R+q$0w2o zo+8(UT(btQESHR#6Ileat?f8L&Zcb+uB)7UV4g})HkBJP54uy66-`h>mSq5u!ugH6 z*;SUt9!Mc4JZg zYG+n9#HslNi@fT9MWAjL%W3wMOlb3%vEOAe1^;kGlfs=i5h0&nRlWiT|H%a(KM^sX z6>d;=oEO>glQUv_sJYZI)41GWl~%mQj~#sceKl`Bc-VjFMgi$pf|l(uHy_(*XX$ zyf?r>I9n;WWhBWmE*n`CzuMh}A7#RUC`B$59#d*kQ}DIenZgD`NoqRbPt4zX*JH30 z?8;9p(7Fk4W8TWaWl-9_rFJ$n@hmgi*!_D`-I2L`G>|%! zyUWrHveuKEcFS=LoDW%JQ;LV3|p^A(97SM?sS3bqLs@F$ZCN_GieFytLZ2# zL;=q3O|h5-my&2^ab_-v^%WHBLblRTD!Db5VLy-N*Uu9WA#TAGmuycr4Ifl*?yr z&#rxmV@DoWTgrDg1kq`Y;#bHW7c!*gXP**Huq;FT6HB_Ir3@TdlmKNwn!h@R&n;ai zcBnk+Q(2X-V}WF|e5T)qy~^#Uytqj17rC_~u2~7bOYtkv@AWCnEs8KA95*pmhLNB$h$)-2*~R$; zwgC7jJq51&{Hi~7Q;OWPH)r+2g}RswH`ll8f~v$1`T5xFzT6dsOJ)I~v5TBl_XWU4 z8>PNt$yvRePnYJ&&974+rmM>>odcSN{P0^gV!$!-0^0AY!{innM)4RaU}247q*_MS z^~4PBSfFr7bpuL~r<-CaQd5C#$bXNz&jHJDa#N=BQz%ez0lScwR$vwK(yYl*bA60W zi0KQ?f-(+3T99?sv5FmIA#5yDx2#d!!b=mTepxO)kfnHr{6<)y^8-(zbX>qQ6tO^0 zesW2*w-AqzXXFqMy5qD`_(T4?EGWQ2hvoxDcPJF@_e$m*#Q3*`H6RqB*j zAl(n1fRV+KUGhsarsm5l4reL&u>4o&I;-I$-A^h%Heg&s8>q~DOn1==;eYx z&5?S zRHo@=_g6ec3ohRLZo5QmFR(JFXKU)gd^H?B=}mVrYb+&E&VSzmGhDmaF4xg)0Vfxf z2-OAB=AikI8vCGHf)9X$MU*;$`l-_`AGoK<6+LxOHI6=O96nFSK znhQK%0REj^!7SNOe)7)2Zc9V;(#U{cvRuDrecx65>+Aecnod1=!0TB5mhyQ{Nu2kS ztGRT+tC(L$KFhd9+~bmFMzu{-jEp!ts0Jv@WIIR6aR8Xc0wQ|ec*`_!WL-l`9~xW0 zg-n;i!QY!&i$~1>PUEQ0uJW)`o3yF&G8^2{yd40~n6XyXRbXK(T~XKSEd<2PSerO+ z#4Yk~$1z@Q{I<+AaeMDZaHC%MZ7i7R3l%+A#O1}&7MdkH=8P25R`2GI~}SyRHX6TPkOr0 z^!Q|0SS&tGqvx=a*cVpg{TXrW*25EGhHdO?INc$$HD;Ph-4PhP8U#Hyv98PV-~wki zH_%e_NO;m2DtKU}%df|C>BxqA{IDCziEX$RNHD4srWmb7RRj z48N=JL@~?u`+FOwH@jKfMoGK9GRp6Vs}win9fblQg`^L^tFq;@r&AK%af9(|dMRnk zrh=#wLM-2muQ>3AThyUWYJs|G_$zH(@4f_W{y)qwsGkMSajQ;OD0str&$mmgU=YD6 zWnp!C`{*8Kr*lW$-8KTJ%KjNI|33U`M;BAXzM6A;>DAMcPu;Ffosp(;e7|4ods>X*u;ALZ|8-eGY%FJs4kCoc8j}q_#CF)U&U@K2 zN8rO%ebSKGC+ve-nde8gN7G>DFi!ZLmkk-M`=^WYYFz^m1?x)+|GtGoUnCNsEy_nZ zJ7S25KU_BUwdIW5B=HNi);9L+~ zt~KJ(nr;s}o|1vJ$CAZfTNd~F`zTu54$k7M*Kc1T_3G_R8lQ@oTLzxerV7E{Hn%2n z_WJnL%0&LX(LL4D{K&}|cW9;&d~pO4dV=Apa;%8@IGA?Lf4)>K%gBVOc06rCgYy{R z&e}!>nobb@azQ+UvM(!GjWyWLludo~uvC^D4+yp!Ej{WtK1|naTG{lmdqiuSzN%PL zk=tjaS6TDl&VP%q8dIy=&G%RxZ%UE-1~&|$mZd}VO^qtk)^?3m^BtVm`(7cuUx?z0 zt`N(SD{P!h+ZCZ1P2>czoj_mhPS*#HwjE1ae`98R4sk!A9AoU*df#|b_#c60_GmYwcVeoT|2>j*0F}(D> z5wvB!xU}xIJiMe+zNQN+vQWdI=1SKiz3F*hNiBEj@9Ptf^B9J_@rLUNBCTlMZf>?pRhYi9R}+$nmdaDh%ZC;D~1 ziHazs&7KvleQe&obajQH&Nfl~4jPrTVpE;4q;=Ch^nbG6+KxUoAjZb0wgz-J_P?ln zT?y1(54JLi5v4&y-&^qJQ${|meT(ntT^nQJ+8>Ww6Q(hX)Sp`4vFV`8=>t9weum>) z>ax3o-kGlsF9TPht+h$BP(fMRb0CG{68TYf?V3GxXn(F3OS)O+PU{9JFtZT%tB|mcHGJWRjb* zuaZj#HSBiO&5r6L;Bqw0P-oz>WX{q0-5s2vodb6lI|D~w4UBr~{8ZvbJNjztu%z?T zEXv~NZXLvkqjFVEUsg=R9z!pWomSVyW&S2u7;v?o;xFfnZcr?s?FQ#GE6^I-_pY!F z@>oIt$bqY)jRo{4wvgGQ=N0Gx>euV+wtRn41sBn=-xb=fuSXr+FGjpdw-j9ZU9_NU zyIQP&WuXCH9ab&nsnY{iI+W3=H$@N4{|u$4pi~l&luKKw9SR9 zJGj+so73vg=Rtm&CS-zL&0_+G%EzbLQPIp#qGJtKSZ;$$R~^_%OkZd!+Npxt1FR-1 zsi)`V`&8}qJl;bcst9ecX|EGWt&S>hu$XGBf~{G){vujn*!9}F+rw&z=PAVg8P5o* zx2+D(m*&jVRJL*GH$`73EB79A^7nQp!EIO5d z`L@TgIqSM{MgIoA>zNr9hHa}5tJ}vnGrsLHL!$6@@CNW{dIkbW+V*Ai6;RNAp45j+ z9Me_F0M7ZLA{FK=rtL$tBuMe9H;j8|8lc7;C0nH!ps)!1WK)+lIp5T?<#;<0QqR#| zHifcp;-^y<1KwF}z6o=i1wEAI{m~WbHs2dWCmb@>alr4%|08DUsOVeIRXy;6DdxG6 z73a)%vCBgV)y6d6(>q_idp|Ax2!J`;2-I%~lrxWq9PvOo+ebT;S14b+|9W0Kond#x zSJcOW?jW2N6mRPIwUZT7QM|T?YsYNo;i9euRIhc^;{Tp`g=hY|hZ}ly)BW|2Q~vVu zWt-@x=!inya_<%&F!pfQQU8Cg-X&Li7*-P7%EcY${IK3qZ=r|1f<_~=1OXaJPlD_{ zE*2@XzB4-XXUmeT2SpZ(woEGIm*V&aE7ISUuhUn{#|FTE{TOSTgC)1?-+GDUcD{;0 z+9f8P)oWk79qUCeIo4u|-8I6=hsU*Oniw;bhcjaX%Oia!yaaKwt<`(iS{Gd4a0q`{8u_K9yhkWz2W{PWf7 zv2+;QY{!=Xwp{v1rqo4;PGF!T`vB)e|ct!79%w$iK1%>-$WD+F*n<-@*P z&C0swNXlUVKfL`!KViBLq~;5zWUEcRTS&9o)X2Rzh80(1(3|e|%D11l)fR@_+)*_! zaVE9f>&@QYV#70YyTPM<@u^mu*21pEz5!nP+~p+j(lA6!6K`6LVecG^;Ez8#=_X`?<5ZAlQkam^gCS{3OKeHlZ{QP zq}J_g^|tc16S4V8)quZ#;4k(9;_zLoC-66NjPeCB@@$S6)HlxI_Q1I|{led`dhyuv zr@1x5jL!!A4FfUnAHFy*e$8{8E5#acmLJhT-#BXT1#?z133j zrTZa>qXDdW&2=>sXY^g69DQS8Cc_!Ka$`Tg`zX(!t5d#RZ>xgIC)K8g-^zL#_T?CQ z{Q1N{uU6R>jWJ)+fIT^!vUY!Kp)|8=;by%qy;0iT+!h}{zN;@b202ycx2TjAYBQF4 zgVB2JY?dQ=TsY_U^EQ@hj8|VB=S+h`C(ff&klRPu&XJ zCss$em~FxVk~%++&44kKW31Ykt6zqVhjP6}Jge;pKQ5&^hWzf~M_n_k4e*ZbnW}Tu zDZUKGpeKE%89Ry5%MrCo{m5oBl9$B!?baa&vF)fT!Hx4y}5zprr}kk%JF9F%qr zAFz(DZ!56uTlM>lMuT;}T^H%I!b3Am4l7`V?ntm^`?gisFz2Ua4WuOsW0#fhxi24@ zqei=akjeU7rz6)^19$pS(Zp+kv8A+mbnSiJ2;{=7R-I8|LfV%#CaUs{4CJ%g-#{cZ zl*Luo&y+l1Zw>pZ{oXFyoi){v zk2A|9l(k`E0B82JpKp>G`^Yf2CO4iT6GK_Dw~xDln-rO@7OX;sOq}0R15T%zrYDez zHSKSPO!N_LT``9*%3OVVI!^QX9Zli$YsA5juV10*QS4G=cHnCXz8{=ntj%l3)B{Hv4ox&fQ$Kd zKJD?{Gp*hLACvdJNy~KuTS$$Ji9K6Qyk1UgIV_gWa@G0!bSn-wL~u2^-eL_0zS9Hu z@iVYxZdW`e-ce`!A2O%75@xgcgPL)xw@fOZm((zto(bO6D9|#w0l=h^jWPqIOg@H8 z;{-6x>u%=Ndw^J?Q-Xp0aJ!&-q-0 zkX3J9jn{N9%Wsm-K1grk=`u~(G5V;UI(x1#7qa-B@pQx%&ooW00mtS$@|&bx#L}Di zB(bO0x|OrWuX|{>Jq}~NZ?DtD$SBUW$ZYjV z2ZXV{d}9c7Qa*kuc3;W3)PPJXeZf`c#c%TVfOoJeV3zX9XYZ=_3pNuk?yyt#!0+8C z-q36-ETYA@%z$Ug(U_I;hnTdg)Z1;7zn`#Mu&V890(@J$Y6it{ka0Hw?Ns@&e*>&j zDX`J7+~xa7t6k`n=}7B?1NrYK+yK^(o+%02kG;JIq=Gga%jx1LTYDRb}` zO$__ zh^Kn815;Ml-MQ^qcz;$p;s9Rim^53H;0;=?!=U4V5cThB`w0-DRqG`rdAjkGsF{bz{fR)*8g&&=}V#U%!Pl zey)u19N^pu9FSFZ1+c;&2NI{>Q3ui+AG9__fL*K~0%`zG=%KczJfG*eP_kumGtTbV zJI`|xrgXrm63YSQFo4*Mddv7rwjVe-e12Nn4pX^c!M3v7-3lo(3@|LZpiXg%g#A3O zrN}l)qc-tv+*)#BYJAs>HPkc~I3nEFZr>1GA<<9vvhXHQ0Wxm_jVrc`ekT8ELk>p# z@!1F_$UU4Ts+nBEE`_&EGfval4vpoNZw~9nZihbRBX*m-ZeBT)n_B=4lsRD@4z|8y za=?VKa80mlgsNH~_j->A%jBK*k5>%Tf*F$LbCG7%?jGZw2p~?6*jSIfE9Uv;&GX!V z46E6?!;Ag2B7K87(dV;-gnfcQ!Vi)r?yv^fCjQDdv;h0bgdvsvVx_^5x<26Ugdx>l z)-iY|45jT3?FoJbPw`Sryhf^Ncb64NuxVo0bS*LGED=e-4{kWxPlufVaK@TqzXPnn z@we=4%ae(8%<@?;7R%O*30&iMxR{pE;Bn*$FI>bumg`sU*Qnb}jxdM{#cI|fprTnr z3E*ck+agP|+CH%Sh@P+|_B6l%vkY&5 zmDfU9;^?j)Ccg0Zb(bubzXQs^w!?exxXf*`t4pS%%zASXvuCd9(c&y7OpEhF(M%W* zgWuHdAJZRiR{0S=Zd>wZ9RWz~HmYDuOs;?l%5y0+U!>-+TI@-E|90VyGVIl_sYdjAL2JUw8S}}+0CIL)SYV}e6tfL^vr>A$o{(=0;ItIWsV?K{ z4-cOXHFnuYgOT#nYG?Df-iM&I*=`_(*#>5dK#FP07*e)|ec75aT^lik)ik5!_s zEjhdq3GZeQTgQy)p9qk}m#utyc;)TmlV4#5x@6n07x`#f;cT(W8LVeo*2OfJfPekq z`mZ=bANQZv#ZXu;uYl?f7Jj1Ywhka_-pv5Tiraw~v6JsKbgd5oYx=$nw6+Gf9dMS# zA+sHJJZ+{TH(MM=C|{e1Nr8Lk8j0L!T>mF~=G>jk79}(Pe*K2S=x3Cl$WOq*Js;k^ zuhHL{a!z&u&hC6E4-p;{$;8~qZ}YrAF(6@0nlLWc&muaJ?911?a@rrXcunwI&tav97`s`0BWpgas9z-HH1IYD|FP09 z6*mXeisf{2xZX9%R@c6ttQvvFAo)cmjQQciwU-}1q;O+^Ek7bid3(e%+86tv+AREB z{Jzb@@!T^BY|ax52J;KCo1iQRZNg-zNYIY+$A%APycHMTqm`pwof#|<{}o?Z2#gL(T^1Q+igcMGtW zuQ21WW$Pw!G3gpKIEtP0^C7Nt8iB!+M(Ga2lz~(yJW?g~gY$}n{sWhkjrq=xey#9;D(PB`XfI@dJfUc#Isf-R=2W@9;OV$MCat4@o=%;x$a35e&as z+`16yV)CVwgVbUvq5ceq5cTV6pBza${1jy)W`1!V6z{HYr&+jYMw)5x$+)@QP9pHh zgh3FMG3fl~zM7W4;SP3~*L~rz%@AD9}&y8{QGwYl2?T-*=81#n?Vnbvh=iQ6#;S=F})S`?F znQya|5%y88x|Tk90_42Y7&~$F8eZIGnl~Np;Jow9n34-9=5p7r^?c;S&BPhgmtw5K z7H6=GNcr1$*Ylh(^&S_$Z@!*bMxSB7mhf|!O17SI$xoIQRz^e)^6439jb$}0k=brR zr&(qf=IpZ4uG`+sI}5O2ZwbX6@uAah4@;IA{T67CKZyIfX5DRX>R~~w_UL$GbXmzG zuoR0g9@lQPtq;d#&G5&s{czd4t`(R+N8}m{o3UW>w;LsP>~maju}Ld@H+BMBpeN=O zUXL|nUAyYA($+m&@awIx<~>&2cBgM+Gj`aAn|+Plt}V~LR_Fq@mMy@L_ZPCgo*fPe z+ai}S3a@m3oZ)RkEue&BrMGT4D>8apO;4bpY&BW{1^W()O>Mzgy}o^B0rh(seilH# zzO7)tU54`I_d>S;)ceieWz@m^0^P)LW*2)?nf~U*UstSx#fr9cUu-7CT2ipd0)RJM z6DGF!e#OKa2;TW{jM&FoQ7_`w_hT30yfpaxMN4h|93Ef)SpXlaey(|2 zwrVK}o3cQ?oXD9LsFxk$XFYFjt58cI*MQZTO10|8UbFf8wffr%ZkTwVv{v4wt2ump z|E0|uj;WT$5wdN&6}8#Z?J`ZU^IGg=kKNwy8f?Gz0B+hSs~0^oY#psVG$PilUycl0 zUTSx(-Rzjl*g|Z`O^V@xE4=yr;{Fv)iLncGFHS4{v*)p;)?suVU@KPVG-xAkHC4}TvrO#x-{^|i713qH5jA+4Wp4{SaTUcM-q zUT0V)YtUml4X{ie>CYF;A^R1$_G(f*Rz%2p^XAQFz4-Wv{e=T&eUzJ&@1d5jUpEla z1|;(O)wI8?rwa{Cu%%*KZ!%{WSt7EGA?jv0vau z`TO`w^Avgg+_Gbpg~jf3t1NIPG>>q%-@%3z$0KV_fRc`#G5z9=PrD%jgo+{Xg!&TS4ZuN%j~0%Bx97_Pk!eu;61h1K=a1@Xg-2#EKl zUjG(1ekAQnnCn-*DlvZ!jvTK@gbi_i0r2;66D{QM^ZlXm?w*J`*0%7mqzUXfFNDe} zYvC^Ln6?Y+k{4M&uW~Wg{Mio&)8;F<5+kXf75}a_`-^T_`#Q8Z1J=0)4J&PX+x*=) zZ~I4~T<_7+Dzih?FQ)$ip6JvBe*e5UY3td28T@ST2YivM#jwp7^c7)KGqJ?pX?hR1 z7E2hC?EU9b9oS|-vPJh2*$ZuV|9DrI<>vFV7v<}3u-)Z+Mtf@!NHBb4*+_%^wxt$; z)gmG{mdW9U>Mq}K+D-WeJNWZLMX=0X>kFoJA?&r)VL0}QV6jaW=XE}441c~9dBwyQ zUMlM%_{ zJu;SH0VDb$yccrw#aO2thZR#*EHz)+OJKkC(cq6mGj(H>z22e`>$evlLtVSu+=>`A zA7CsWU$XhY=Ib0uJaI%qzK0O@buRZ}<^7k&&zd(b!-Y*RU|K(f?6UlPt_j)gpyByg z(v~rIeBj>&ld!L2wts-TBSO8c{jd>7RG<~OJhAm1JMZdnR{H#FUg{8gU#vUe}CT3^JM?_hS535#Jb5B-LZIo&zyAI68do>9}}-B*rbomg1<(TksbQC zk!gf|3G%y4oOwHTKM@jQ%kqX9y19|W#BrSg!{qy!CQDnF{DSxIi)XX912*%;S8tGK z1a84IfN9X{?SQ==t**YE4yVlUe{$PIUP|F~2z{K}pH#23pAtNhxj@*`HmVn1Jo%)Xy=x`SZu9WWBd$Vn^7Pdhk0XZ6L?n7x}$GLK1A%lrI{!+1vKr z8>WqmeM6ZJf5)-MA=%cuP(@~{4-P&)X@)&;tAVkO zw6sQ?h;unyfX=?E1%D6!gdP01`>W6pQmW+*y{A1*)cZkeCLC+yfVmBK10n0 z332_vG#gA9HMelx{2J`Qb>TJBzQ?+%GJiL~FELNms=Q-?+k9YO3b@B!u;T>DZLwaO zFV2s;;|R;ov)wa1*&*jiu%ul-?ZV~B#5l33*6{!N=sB0dp5hJ5w8jAL?qCAj$J&$J z7TYfL3vA*Ip_%W-0s_A_{QfY@*>GsjJ;+&gTY0#xJ~lc)BU1dhf2{cOxg(3oBdBh8 z{|DBeCSNDJtv#(i;lZ-oYYf;TrX9^#@)*VUAxp$cs65+jSk<%FwWq zM9jD~w`Cya2HfA7T9n%O^O-k4L4lb_QE!=I{8?AVS@0ThhNJ~p4SGxoAH72hEx5*mxX9sKE3lT9gx4I zMBCHp-EY6vT-R0CUwy_ThxDgFd zS6XS>$%vMXXn=t850hh^t*`^`{+Tcq@9+2P*<43FKo~_D@3^Q7{=RM^q-k8M8IKbuIWy=cS7#|~~$AyosfA0O} zjJqHI?Du*1daDp@f+h9fyyz^OfWWxBqGHm%W)1rs^B#HFJUARY;HdLLVB8;D>-)N3 zFaCTT5VjnFFvq)xtz9RPaPNK*xYV4%m*cA$Z%29+_MQJ;T~nWI%y#!vFZ}tYnX$DK z7FoO2-?CSLL#TN%bxKyBQEtvrSy#C}r=*$F2> zs;w|sYTf&6w;ST_!<%eCl>@$omH}HFCn&4j4ltPM7vn_u6OVJ_=43Jp0r+dmOv?ZO z!TH1kP8qk=*p@zT46=DIHW0tTNn^j)elcJ84hG6?-<$&|w>X}CnG9^t2Q=8=X{ogJ z4L)(_A%`(wyOk!B@mLl5%!KJ1z+AW2T6VBKZ)hC%?Rkm%dH#ksxB2hQW#1|6g)^WO zqga)}+@F>eu$Q!T8E5yr$a5YMkgSXx=oV)C%5N9DJ&=98uNq=AXWq4bu?Nn)u0qP! z0%u)(E-$s!X8{A|&v#x3z$>j4@TK|?vdLk|1y4^UAWGn4^4aTh5!k5~zSGazy^RGT zusOvpd@%~c?z=q$Y!6_=PJUzxnyBsXNYMHn|pb zf>^*T8ftgf-T*F4cC3|~PFNLvz z0}LL};9=nH`*O2e)y8EZv8@eG&6d9R?3eN0-aaqW2M5r+@M2r$EZy7Ji?J?PPLWqU zDL27}yVDmLzH41#9QN7@^q=i|AlDBnGi%8TU#<}`ymI(*eSBck_HSl#fC;H0z=8RB zOZWaJI-kDU35_N@92%y^!Fzd9FP&iawEfqdm+6cN-(>`>*{i{Smkau$!Q$^f5a|L~d{PRXRj zogP;9$&Q8TAY$#TD*akk{CQstZPPpvCCH<#`748t+1?I)-~)GUI4paz$$?cTvFL0I zTKUKZHvE@orhbOiG1)BP!1RUS;qT{ac=r1Y_pg=yDhQlhv+>seL9(ec5ZvtL>ECRc zY6EX2%^1T5Je-vutZE~*z)4?tUFRSx4$yJbocE6mJ=o^jO#TdHA4oY$HnI=+LSRkV z&t(s=_wC!!wywa_xxR$~@icYk$0Ie^GTSvgq3-Okw(XOmj<~>fi4n3nQHj@L-Xi!TRlbb_*40e0q8I3r| zW%9`I_Ve6CASRVaytpXF`VCvzf#Y*NsV?Ql)LYS^N!V9EDgLHfO-j&RVOu-!d$!AF zcb-dyXGLA_#eDdy+Z-%G-z&NSv`#Cz-rSSTimqQYHh1@OLd;0Y&7yK!s9YBz75>|$@9 z&L?l+*7F3-*WqZHmxHfZQ|Beu9xQErfO6h&lV}aAe1tOlS6nT^zovc0YbjY)94sZS zP5R^4RM{!7j0HXLT87JM+NTY|fW_AD0Nu^TpR1Q=+RAx$)W??Z1FvNSQ1bckIk36= z;}o>M-gj4K^{zs~x1FF>-<&Qda`f7Vyp)(6gzr%|XwvzxAFoQ`-FFSKs#v&Fy-SGs zCO`c9fh*E&3sA!kT#@5j-4EiO;>3f7-hd~IPdrFs;Ik3x$0;8lmOcHh5`OHr${_-( zevF#ujR+{O3wo)1DWYvIBLwOTW;_Ui3R@m;9|4wFCc<{=li8|%N%9WG9csJ{ zAuxqSeg(>3=$*ZNg=5kSJ<)zW-$+!Vb?5yQy+`A`9K7(JR`l7RcD2wRQdFE zCfIaD@XfqKqC^@{+d@yddtS4W_m|Oyci+Gj{=6g3~sr(xv^B|X23PO|A7Pk3l%@+aCa@)Ue#k#S|s|Z zH|~HN5B%$qfRw*~v9(s0e)o3X9(ZNj^y($Fv9tCu@A~?7IXKsYF5F5VcNW`@3-`M3 z1jn8qp;$D21yA1UqYoQ)iok+4m*AZ$2&#K#>e9fE4wao+n!z#7s;`?%$FJMUh6W-v9NHw zvR%tx#d-FTZ&)q&W%A(%-R&@WIq*?dP*nEsU<-m8&s#*WFa&tXdkHM3E zzHtjjddh};;7Rwq5QDO>WNq+W=O)lVr@@oneJL?9AP)~~S|fsCvL$sT`0at)-06!d ze?E6o*zaGyV=KMgoHK(zj~t71ECF)+=3r}KKCXQHE&b`K+b_j37tYo%7j-f5YLboe zyH&*;x4!GwFxgn1>yBowKcMORBD0Rs@O|*uW4S}V^#pG9`q^@h`O)n=a7f(TAk8{< zoX_QU+Vw-&aqhG*gj1_*7pQA4vSSYR4?A+ex_3VN?}3ATB>f%!^dOe8szL_{m#!56 zI@^zi^1y*!Jny>AL{RPZ6y|o|Q|BI4I1<(k>tU5wka9gN@PrSXs&2dXajW2t9nW6} zoPQqkd!&fKV^n%Ib>_a`aZ=tHRDa-553q{;e#)g^x7Q(uo`XK^{>vx96%QWra3w&7 zN8EQJdmj9FBP}lQkOwgMnEa9MqkPM@QonHw7P@5Jdd~`x^Mm#8H&3{&x8Qy2K_i6T zg*&^n&kA&UzgYrok$}Itf3fVx9MDckY&`-GbXZVLESWs~fU&Kl9RZYVt)~i(2*kIw z7Vhbl-aaEr*FI*y5#H3};C)U68wdX9&zF6SQSFN{KJYGww#46Wh9bTkBk!YlIPedb zl8)B!2uHeB6R)Ah4yZ`5;@TQ-4;oUNdX_)ML4VfuH#fb_L@=;LqH*iUb77&jnD=XB zwSi#yufO$cgwd3HBN*3`P3VAeEdhSdxU~Pp79=pPMI>M01K|*`(wc}gJs8or;DKQ6LleJZyUgL!3lo!d1$0IK zknHOoJ|(VDpi?U&?N#H3iQ1F|16uNM9HTtr`|NQjT+io|I^aO7&bws8aD3-9`yJj% z$I#f`nOM&TZjnLC}jIljh&(%1{=VKo^ zphXJ^nl&E_IQNUOSil9H@q^yP!QR|+^X2dhpK(DVR{yhe9+WfUM8>HBF0@FlFiZ|R z&f?Eq)Z-ZxKU`8Kn7nBw;jb6!YIT|Avq+&W^PYj0&7*nM6jMtPu{}SW^;tI)>9S9= z3Eu1Agx?<{lMAEd?bsbi}O@?JQE1!DvIdD_6XOG zB=*DP{<%i%{(gNm%Zf)pwlBz5d=HBP7hr-2e1U~L;=E}}72>rcov<}-+@Zq9$2~2Z zL1K+yrs6TsQcLi5{=9DZGv9VCZtTo)>B7wlur5y7i+?93=UMaLYo>WQ$TYFO(3pd0 z?T^Og0CZ445}yOm!T8opfDU@H1T9mfz5wH6CTI-$zQY$#7i_}eS-k!;KH-FVIl>|pk1i$bsoIm zf(yqtGvTa{;8fmluHFn0Am7LJJ}a+XsO2>AOA|@?OEzk)Z6gEvUpXS}EuX-F`#zju z{5__%_4GEzpf6nL?8^XRdJ_Ei&dkC+X7`#fCTCyX1zYpB&1(nt+Uxrb|1q5p0nkmJ zUnz(9E8Zxq!q?x4#kY^^IA?E+8<%X~ZiEY;Uv~8C5d4G!v!k*oLYilqN0dALKb>=;&vTxUu5UB@F{|G6w+m~){KmkNX zVCzcD3AnyBbYGGMYIX(-@NZ$_jv#F-eqR`xP5QmVRZm3_Vb6TngmK}R*7QAZ=%2kB z$;Cg{`q`Iu%)isMd~lGRYhGYoE;h(N^SO!ZIEOBKP-F2Yu%lK}xc(d)H2L`LXggUN ze`V4Nfg7mFy#t`YrC>aO34|8Kr`Ls1RbGg_&GbG*M>~a%6;>{>-!XAU^zGvpZnUv= z9Z&-`E!IETXt9okE+>1``7p?~51%i|ooQUBl^efh#kYFt z9k$6WXQe)fZLY4gSnaUdtZ(%LJ>~lLNsv)Sh9whAaB#D9T}yx}AXc;U?u%++-4JQy zyRc1P00n}|+@2pbleiz?0=NtDJB>R%t*T>25=oO*qzmVdm)F>A6=z<&mUZ)V3p0l^ zAOPVGq?{#AwO$s(ETf*Su_j|1k>n?z{NSqr7U_&1s`m?@y2N!*0 z+O)!P&isJLuN(=77GM4uDeOcusEzP$fjTm1j` zzy0Tb```cP|MP$T$A9}D|NZ~?@Bi~Z{@3{T{6{JO^*{da|LZ^gSAYK>|Mfrr%m4eI z<#`jQ=v&W&}UhQmB$4}c9wq?1O2^FsQdFQ0hz$G@~_~V;ews^ zUU{>~!lUI|BsLFR2td2-b-3UpXYVZ!>vf&+on<0x*W+Oxe5M9p#m@1R;P)LpXvXK}OS(Cz z>%TTxLJ#Y3_21jo#`#ju8&}?Spzy*7jLu=RKnLjk&4%~ok9_jVb+YpWn#qoXCJ-Zw zS4Qwy54LJVK*eMg2z4+2dS?yjq<`P{P@Z(%d?R2+BaAZ%7Ys#ktF-PBsPYXf0AYRm z1(aYTw+!~w%?Dy@7A{QI;$f?A_I0fGuS{-|_j&Jm=LJN8lq>mv>wAG+zljoiFZi(B z#MHkHZG7eaU>$yeLAY-v{E0x49V-%{Wi9juh;hEy9Og(Zi}8qGxVVNvc?2-ue`g3tbiJj8 zsq6*&+-*HxiC)->RWqj?E)WoKt4(0#CoU0Bl;>mEqNr@MT$S?lsq629B9j*>v(cV3 z&nzs-tpbY|VtrkdojB!|Q17C}iP>*nEEZTp*)atI7t9S;m~;!W&zi#TVEIGbq{cTk zx5&-mHw5b+U(g8YL;;kKeEF2bd-8=n_SR03hJp8^a2d8hCvFbK?>IN*h<$iV^lf!+ zjqe<^Ilhge7|0^8F}Ov!`B%Rm)&Qziv+;_VP;aH@lRva&|M2~ZRr2#arZFo$TY?2Z z?m>IZDotX%u-UNN7WvQa11sjk;y!?!9wV2yT3)LV?^JDen5h#NR-h^y*9n9`m7N~( z1HmVU=GnRSSekE|Bf0BdD>Z9$N=%>S7kVHiCkyxt(-dz^7As__2Y8nDZm0I}b|a+m zIBd!n6(kEOpA`WYn(r|WHyukK!qv4=9)BhElBE;z=%vF8D`IdbKLj#}u-hglh@}v* zMzrD=Zo*%VCz!P3G{bt8?mLk`5O1B`e-B5y@4w?FGT59o!vX|s$)1f(snm{(VQ3-m z{QWH|jEXu}#}RtO;#ve_H>XiqY-li;jP4IaiW>i%uzv?GjMZ)t>|%ig?}dI@ciGS$ zp-Vo@2dsFm1h7n;=Usng5u^CFUs$VAZw7RJ(r|!sI~~yReNeF4!#wcy-+cTH+twE> z!hB*nTCMYiGt}>g&(DZn+Ef$9Z1?lB=PrxA*_UwPxVl=oB#sN`Hys%lswPIs{8OSCof)HjLrzQ@n8@!0+7N27`UDU$XD9>3>*ITnN~MmuOZw z>q-t0*tfZC+Q}6c>=jT8E9DCz=VY;PK0j`3UNC<&YF#LAsyB@*0y56q*Q{KrEyw&v zhk*+%>_^2fj2O54fb(Jxw!Z_jiKgLp_?CJ%;(!}CTCRETEWWm0tj6O- zVDXyY7lMI45^b?F+QV7zUktH{Nq3k`^!$mD+-48IJusylnDf$xarvGf2@tF7zyq9# z*f9XFQ@fax#Bvyf zd`0BBTKl@satIJFM@!CbQ+gaTKV4?6!aClLJI zYjq-Z%b@~be7TORVo%*^a?;NGmKFIPyk(Y7o!+-j5v8pP*Vp6sN=?uhi}&6k@k1XvO`qkt=1XWAZJBbBpx>x z@8EM;iYKQzg7JbQcJjjFj)_uuA-k|&Ip};A)eB^Sas!;pm->iDLCXV0YbMnRM9@{w zAV+=DV&*tD@GM5c$Ad~Sd6(2EO!a)!E}wDBENbX_0+w(HX>q0H65ey^2xL1%w}3o$ zmVYl?Djt?tE;kL&p#?eIxjY$85f^Ukdpt5CpklHT2o?#)jbAv?GmY;pk1zM8fxdtB zMv?I?Wx58~yv*XZoW~B#r5G7E2m54Akz1DE=V8Ta&H@d&x`TmxX|Yg{$L+R$h3vx6 zu36DaS}>Yh3R2>fh$v^h+6~w|eoOe=LtbvZFAtm6E*H(?cN}&`TkMP;v1yY{y*Pay zEDMs`xG~U6xG4fSi%YrsGR<+N1i=nZSOqC;oW|I{BEwkGzm!LwKLsgm==odKfA4-j zrEwK@cFS0PI$l1~Mr4gxULy}IyKk6mbzzzcTyUKv#7NshJ+>gx%}2Tfxu<9s$cq-q z(*5_H=a$9waO>gEZk2-bf-hX{j)fW*(gs%w-CMEB6^rCyjiZDWy<%H?LG(^7-!Z0? zfa`Cr2bN2RC*8#&-jnahwMGn2|02$CB|v5m4__sXiCu@c4y5 ze-1D52Flw0RuCDquJT+E81#kLLB6SqIn@vuG}D-=*P%T*sH%IkZyk{lr*m9;k;g!t z7-qasgClx*CEjJnGaS1d#;MIZ*I4Q*cL{_D1=|!WQLm4qco8QCmOp}ZseTGdsUPwt zE^q?hhP22#*%$k^9bZ15#tYp8yrQN3qIViQuQP%BdnV&zS^G%r8<6Lph&Q7_Wy^a| z*760TUZQmVp4f+2r4bZNToVx0(``Oc*)AZ}?AB9*`v_PxxoP{y@VK70v)L^(z;izE z5!iDBlp#*e@#W>Mn4nK*n+@6GDgsbser4^`=wE`2*M1IQX^qbxm;3u7^qO zF$gKgfqVO)yhb>>Lkfa~@_auLpGJFSX&#db&9d_XU_|V0z7&B$ANv^OW#13#N#TW{ z_2j5+w93Uh8y1N3?J9^B>O7-tztFzWz{)Fwuri#Vd10qC@sQ8WNVHjr`oz{T{eth7 zE)5QX59K+h@dX6@y4D>t2;ji0)d>Jw6l`!rU{_v{FgMK76bx0R|BVNyC7DB zIpV^KC)h|kGk#oM&}$yI3O(Mn2y*ZhfvOE6eB9vN`~rqRS_9xLP1$I0;R~c=)5Z)Z z+wn5?#h&w#`2<~(moZC(dvGs;Kh?3^UdHThRjHMYnK$u8+_8P^J>1QWBGWB|ykk9n zgcv^dLU~{Q)mA`&d?>DQ>6iV68*0y$!I(1LM!|Qy6Mwt!nPvEyBHTa)ZrbsksS6^1 zxCA~_4jZ%M;biY6Y&R;p0&lKdH_rKm;sGDVHG>PG!g7a#Z`V&g94y_A4IermS8A+_ z>?p|gb8@aoV z{`g{2`EkaVSI%43TdXcT8X#)NS5mGn2-`WS={<0T#b2?!faYD%ckntaFY$2X4}PC9 zifgLH?6_t4^8Sv(xWm^gS7qVTbbX4;D7>0nnVZ*QIxReX)CFEm2f=$QK+oznKrdom z5;1?tMftlN<~yDP2Dpq|MdLf)wccGb)9KjG2zTN# zjd&iFOH2)J`GcH7P#Rng9tj^&2rO7hVFN)a=L$P^J~dm&3LKoZrXxQboE~RGG2B;F zm1gO#)R>jD%o{jO7)OEk@}$W+%W`8A=OUb$`x0^BK!0Zq3q+cdq}77(bn}H=6~TDg z@@InIF+8e;7nq3`I*Q5trVOPxLdo%;r!P-b{^3>RNsK0g8Qfl*difkByKf5kQk~o5 z_zgY4-W++;@(n%7C}3<|$>;)ar7s}d*Vg0Ctj+`2dX5jv&SU8+4pfb%uHd9v9GB~| z&CnfPwvX(10G^@U(|*272E&!@8Bwpb3qGEe3>Vv>>GuJQ?sf-4uZ0eVyNwhiFO1S9O@z zSiq&K$0MaNKO^$9v0Z<(4r!lUB!X$M~zy<90+FeHGB_mdw4?2-1An zoV*a!jhr?0DY1!KKp_lePZ%vK@2J;LX0xOklA5!CV#Eq9-rpj;hI?o=5VZG9;|0=g zVgT@+?`%)T&1y^(c7vrSc`vjYzK27(nL3GuZScaS4`C(Smx0nYm>P5w7&46)$``Bx zF$@M=POA}4*gFs3d4q^~GO3ox!Tp6S5iB$AX<)5J$z!PEi0W}0{C-9|;pQ2>6!DVd zvoTa7qTnHdVzA}ePF>rV*U1ZjVcG)|{0`^ukEu}&zx#!2HgO>+7>Gr!IDT^Q z(*9C$+#FA8*=lZ&DgHqs{KDvbAWzE(1zU$-*pX9&W4nD+@f=7vZGKb%keRx^I553B zu|)V8>X({fM+rBI#$Rz_%Qf*tB9hto`=JrAIx?VIItD+7`-RA2w0)eNNQbd}SY7_a z;k|nb?qNRJtuI#ndB_FCN4C0kyO6ot`UUYR-Bx< zX^iGi1Qjv8-qk?Y5n#s)CqQzX;y5fjX@kpgs##ouE!%`U7Wm~llZ)N202ofPj#uON z@G)lcctWrAZ;uS_H7ydrWk)a!UurarAHe{w+?alzrz*hNv@FulTYJQL(34tmB=_iK z&Nm#%9Yw#qA`w)zeRRwxb2;Ne$&NOY_h-zh{Yx}eT3l$kGw5gw*ZC`(iq_n*R*~N# zK&1R+uWsoX$XO+j-+V^(+ArnZjvMA5ZAHZ=(ps6M7Z<{E;2i_@1wP@GzQHCwu=Y)} z%Xhx2sC!|&tKX%JC}diGD{KoKcs_Tx8(}LKBG?v=+g#c1Q?hTU!q(uGjvFo*|6#|R zyMOr&+xPYEtIj!hr{E9)!wF4CmFfeK;}{Ze_fNm0IWmqj9YFE=ku>2#IJJnCtK->m zQ1cQF>1!j@r;f`3yZO?09oz20;3FlV%P!vB6?PhZFAP^7XDku-&XL z)D{##s`+Tu7(VTjoY z$zOp_=N;7t^SUXbsWbwgUL8lzzBQWIy!(UxC0vm#WIq{mSBEpjel-KrL^5wzFu3rJ zQCZWy97*539!N_;@1=LJYe!Hp*#6U8kEhM1j^p7N)vI;JJwtgBD>AnDS3D=aGFL_* z;hmUq_=THSkz3h}Ou9bafou=2+~$QDhea>51hpu;52hdPz_a>=%g)381FoHelgl$; z?Tml%$!@UroiZOX|=tTG7bLPlz-=9@6Ul-@|av z9ROylLBDD966xiLooPaSY3aBz$7NUIPBh2;q+AS`3g|NkQ~>PV8PM6#;nAO^dJ+E3 zCr2|N_^UF+!Y|zTZw^Jn-1nq(Pq-62DwPc(NyS~@O-`x_EMpPdz`mWALge^6tXB2a zFZ~rBi`yI9=~-?fw4u(AE{z97OH$-f?X1MQ=yp!R8F8@D{f7JD9n^SWIwOp1d9~ot zcVIu|$fd(I$}DFNnTscS;+KLv9ND+J7jY>!eG*=N-|9E)%TiB8VD7->F+!}uKIiL; zkLGhfkq;E`waq+}PYd!*cE~EOCliwEH7ZV!5(VX?v# zIooGns_P>v=7J8}BxTMaggvx5(q~58Lv!`K@Hm#dYe0Z54 zFy;W|)I_iZ_gU&V2!)_uuX@{qT#gRTR}KSb_uqqSVexDTN-c(H^8OEg#Cf^e{T$ox z=n(_Iy`gQyv5hLvx;`-44=bWAd>Nw-v^rVKs-qU_vYb3m8aNh#vD4vX(dG~T6UFrx zv~jFy-x1Dg;_z|iiZ9r>>P*WV0y20%A0It56s{H)jls>+Z`g4-I)34158$x@;Tg?8 z4_h^h9}|3yS~L6(zP^BT%XbLAbbhq6US^;jy%sA*=HSwch>o2OH){p^29*L!=9RVs zWbcZEGhV<=7uI>l4%SK^g_o3v;cs>A&^LYKLy(B0RD2Teo1e~mVn-5Pdd1!g?rEow zsjd^o5L+d0ju3U)UeHq16Hzy{HYb6}!}k38{X=9p+rg;nQ&M&G0*X zd8^yy#Q;dU3#%phau`2vsE@nvc<|h{1SbKT1^UXK8(wb)snr3lJujA0}QsZ^HWIq~ogs(1*F35)^X(tX0Z#c^No^yH}9 zecY&gR)aXk;!!}=h`zF68v!;asaLyS`b-WQcyGqHsDRrm2tcTo>>&K`1$GZ%rN)IB z>&oya;&>N*GoMTa@XFUZ=f4M0pKtbiy8mT*Gv{(FT=DLoH`^mu5zFoMBsB$YC-;~5 zC|UuHVW3L|vzNOfyc%m>>m2I|-RSvLp}kJTn(~1Fg>Vbqmqp~E^033{=sKhEd(}M3 zE}OBRMs{#lxGH6tzMiBhZA;k0Ioth_7I@X9eT znpJ3#4{L9~-+2rMcmBkS#W@LPEJloUZ-w*bIc-J-mlf3!KkFeLD6)mH4kPGH+-HWg zR!;0^W8zG=_PGi8TrxYV4rjWPm@(?rqJcOex#lAL$G0!ePz(R@FV4Q)j~@-2zte&C zfv>3`pz;eGHgG2fmW+3taO5q&1L`!x1^JQ-;vlBFJxFyizrJbUcJja_+qoOKoCx@% zp4yD4Dd7$qnVSCdzjSg@H1IU-?~L1?8a^9;MP2a<(_`CH!^M6~Y;MLO3amX5y-g=a zgLBapn9Twij~FApfnv$o(1$5*4IE4Ei87Ho6oP%&B!{Z`IB&>VG}?FKZQw(St%h~< z)i8Fe_RQ*AOXCxBx&?o-qvvu~pTkar?a4uotn`W?w(_uqHDj~l8aFugNFDo#};qOC(z35nsQOt z)Y6*8e|hHL;qLByCFg>xuakC#DTA}2>8)hi^6)= zOS!oy-&8Ixhf#Zb=Rv{YF=+W6CllKPP5#^%k+J`^5xHUIo!C_bo++rkL4Sp zUpSdx_`QIaEPBywt!fDWU}y&2o9~4nm7{;;ooHVgF)tQpCufP*Ydq(Q(;qjMGa#w~-#l%ePpZh@H28*VUPpVd_7VEjfQL@%bTc?~f>$*-g1K3Ac0~6qoOhjs zA9(m?!D`pLzdU{+AZ{GvaPo#Lj%B_>iK#A3rD*W+p46)L<#C)|!U&rx2P1sEk!^wR zY&-l-^|0wJ@66P=VmW8-G2!7Sag;+M>r+@`MX514eRk(QR=>} zyM7(obAv0@$3EY%dc?1Ikt-U}t3Pp}CdVJSVdUKI;Y;1z8Ci=R3f$vQ>{z0_nsA+- z-1j?(&5GAz2NcvBzSqS+Qx4A&w{Q4Xskd@zhHKT2BHU7tCc@+8{rexEk7P1x{RS*@ zneFGg)*p_bixSyUmJ2h>kffU;HD7 zlx3voNwbNR6xePjFRYlc&0liDA8B0!*X&AT3a(i{X|R%|-UD#sg%-O*3`ulpaByLG)-d-|V<1iv~xmzmwzabHw@=!&2ndIxpdnOXDtx@Vrv(_gXS1Qn={b zU@p)50eeI|_~!w{*wHEMhwh4IiRZWLvc4$}%O#TrCV0Z!K*$=67AQEEd*E=m-N8@m zr_t^g0#iR&Vi1GH?{LJ96p7RTnP*4E9pPdcF0XKLu$l9QhHwcOD_l%#`Gp#5nRmo$ z!7;;cv3fY`xwF78+X?;hp}%IPAZg>~Na9(v!7F=qQjG?)A_YRJjSqnAzhC-LuhibI zAp3R)Cb3Aw&O2gh@)F;b$s>x`Oi(b4gxF|s!TKQdTAuj@|1~&d{b!$z=Qy-wumAw{ zJ$i_uhdfd#gLk%i%-GC`l^nPMupC};6-R>p}M`_K!hb6|0bq!w6BEQqt{mDC%sM-EFNQ=e9H|)qE!qY&60mVs#d|l>6x{tKN|VlllpNn6Tv6OB06{gS)>yF zeviPQ=`UFB6)M|b5LCe3<>QuGY9jE5rf{2P4$<5TK-1?Yw-#h4EU)!UB-h{^&4wMg zLfs(B`nMzX?@wrvoJ}C6Yq zBH#xrNg)HL*2w3bGoCOeQjAa;>M@9Xag+M+3&FkaU2!uAazemh?$8e}VFqXJ@DeVa z4)qN1Yxxnp`3)aM1mzRVP?gQPA(31>U)3@&(p<5Pb89Be=&UKN^dv7BwX6e{^gze6 z9qXk0sjs}NaH=+Bk#P0M+qL@*_4G%Ap>H04B&f@|#lwt0FK1Rep#UB(HfF=8Ro2^m z7@bq!Be!2@s^THjghQpgh$(Q{_reZGj}_6Mn*np0_42(S?1dd!BHH|n6CIud@2X9C z-}!TR;X1B6i!9+uW6WxQN`wH`$ui3I=51CBsj=H#6*_zm9uRJ)zHX69-*(X-2kCwC zjh&{$wm+ZOxbUTQUaDTda1$wYHnkqNCz)7wevwZdHH9 z(cXSnjhSC@bxT68-U~IhslyV-%~safw`1lwFq7SO#}P1yC%wPV$0y6!d<8 !A1e z%$xhk<*pxVURPY_*O)Ubc|OX5$%{nV9ln|rui25?VwO+2?8t60WOA%*wCwQhv|NSN z1FGWB&%f3409h-k5B>2Jsh@m;5^=GHyCf~H!!21n#&lP~DX=E{u0GqQCo~QDi#$I`63qpq{ zN@T>rK2N?7iB7q3_Hqe=I1=E8awi^pxs*73k+r=Wbz%7a*$LIH5~Ql_ASU#%(}#~3 zS24S#`7MzQmeAM^UzCp^irNuy;kr_C{QgZFUsy;xd{ZUuAaF#vhWD_Vjj`C(&-op$ zsFO@M9b|{@;Px`x2tu|+86m&@({*}jU;H-T(pyGY_Y%qya|U%V6&^Q5QO?N#I(Q1t zXIkjxCd-_B-zX7~=)e2xO2{)JVYwWEsW3oCly5#v|Kdn{<5c5p!MfS8JFDm!ki*N` zL9pkXBL2u(vA|fFpuTfWbyDtuc5i-z6Vq+(f%TaeMss)}(xG#AuTF>!J0&kb;r47J z{?fXFwAr+dULzk0F)AI7#S~1?!4c=P$(jXzw?eWzZWbVT8|k$7UI@gHPw#5hj`3;B z9i(mnp5ilihoPne4z~-A;vLh^7Ocf8VV>fIGYU4kBe<*?9U4_1FY@YuBkpi)FX_ik zPWvd>&}f0<7zEYXNS>e$CNq!iGb>I9?O1V^7*6{3oH(Ib=e97S`8aPp(^fyjc2I*8Sr9mZ15?rM&^ zZq`z2L2Q$yRbV9tKMkyzBk2=n%-l(Zg!M84%^NScB5St74%?z65^=j<^p;f3vq> zJd8=tdbUd}J-v*8C@gOp^8augF(Rr@G8hz(!tV%x@TT%5$UJS&%LR8XGaz}Ol=TWsMt)-B2!VyDrzrI9riQTc_mn`Hs?Q?7^nE4#At%dA=r+3L zI8Fh;qavo<%@ds$+=IeX|0`pDpF6qU3n#dP39A}lFPw=5@VyY*JkM|gI18lM;C5?27F`mxE>Z;Bd*xS_A6iCHJ_*sdJQnbuqAJQy1@W3qMKv< zkr`C@6b~~8MQq=|8t4Yx!VsARkr(5FGCMg>S{# zgbn$~cBYlUN)AAD%C|O-cHI2eI^SX0JKem*3pdb?-|gJ2@IL>}4mgK3tcNq6ITD8< zc+vs=y%3md+wKM+J&j((Y0inZ48yxuJB?Nm+jpfN-FX1+4*Nu<=Ki+c2%MK?ykSU0@bDZ2s%SeUIfZkzj2=rTWzZ{+`H&j8p5NDju3q69Y**U}0cp>WA%Wxl^e-Pkj zcnl_w;xN1n_t?@{M(H=^%P$NDmG`?6Wcwa||Bn z<0Lx_AHx&h;!FAy6nPYDpsJQ%=ss_WUKs$ylteo)zQlRkzsP9Ua?N*)YXGD+2BHCv zmi2m%07ZGz=X2?k*wR_A>xbQE98BCFI2-|S32PWX$_%&pjkkh z@-SWj$1OEp2uL2eHwG9eBOcky2!JHlS3p;mQ>-jr2+S;{mh;i$Lcf^~xTegDbmQ=x zm)7p_-*28cf1p0G`LWVBuNdR5$E+9h$#=qk;f7f68W1bBq)5zmGoN#N#Od<$9uJ-^ zPg*c$^EI9bj)AkKPm$)2g!1Tf-GC|<=;~_{Xa*dl$rS}q6{|SC2?IbA4_4vtb6%1F zmH-8ncTCn|25pJ2$3S^F1+5K|2&VtKcXg^z%e!WcP;ptnM@iky`lRfC1z(D zW0>PKS?KYG_#Oa^1T6|?YMGYooKZN_GvX$B3pOzz>r)t|nCmb&hZnI@^ zB0|MAalT?i@(~s=W91;1)`W+`X$UAry6(#IR{%*&jhOH!;OjQ3OSA4UQrdu-;NGtU zuut1@rjhScNhp**s^!WHq3h7uI&s9^$y+|{h|5OWVm5KYwI}TOHo?wc%!EZ>`D{-Q z&ErrGEHdL&W_u#hD?_NJooD-}_DxvLJoTWdShHOoN}lkh(eXPAY4bXR8+r)>zjFl41n>G{$}!k@yzujML*`J1<0LajU2?9lP#$cp<<+ z);YjnI$(tI_7|>@BjR)W1AAro+O##B#sFIbCf4ZX>Jgtf&P_7C1gzQpoADECwg=6` z9XCFR&4&FhmJ!Hqt%Fs0QVtHm7B}3immInVH+<%I!kk#NT?6o29HRWHGK+;2SIimw zGmUCEQI1Ws0lKrol!j^K!u{KBCai!S#>g^jB;%$@ZvuqqN-c*8m;ju8%M{iLyHfei zJrlVYUA-T?Fv2@T8up3c|DJ3<6XE~vE{aFoX8w4r;xs}4M`Rsd*q&9Ar^pEcfSSHM z!u?$j=FD4&BdFg#H*a|VfO;Gh4P4~cYh!632Tl<+EVTps6}Gnf_%nQt43Z)8eS*jwL?X&yb$aY-J4SVNIbYQ z0tCkqZWDhYyPOlA&~m*Bk%2MuSGks#!YBGA^Jv7E-^ZU1=3t06z?gU1*;{e*pESrAe@^;%0dM}&{Z{vmXgeTLgU2E{RFy3_4K*3MbpI0ls z&eHX{OgC~2$mE64+SoJgj>$4vLJgbd_6NeE()obV!n$3*@k-5W`GS?cCR)b#!lm5s zTHcsJ?%wMwmze*;s}6D(D>y6k-@39#utJR7iz?|xg6>=Ep7|;T~~C9-!bC!UMPnXk^PTg z6_5Gi>SW0?e3y({0>I@vkg*1?&ziF4nwg(xfi=)AY|Wq883DKu&r)XEl;$K^|bOr3y%zUVT7kR5|eu-;!|8P;|<6pOcnj{3qgBC*W+3@38?T?k84y?>hIn zg}r9sgzTU~4l&TK(o<;ad!gQZ(rnggi@W6>zY-u*PPJvu_nix!;pgC*0Kz;!r2Fq*Kn8nno^bt90l|qn7zy}2oF}w6 zZhe7L&(ZX(_zDP-uVmoZqn^~G%n=X@e`1DO>rGuNPTB0ubq%mwadB*S95I1Q@0B<| z#mL&tnKONy>>s^o?cfk@Tn<6Q=L!U?wF4LEpD=v+$GiJPDrN6Gi*j?k1WO23J|;<7 zmzD4F&x3to`4zVGuq*0!Au8bm>l}9`@)e-v^AH(xsV!J2dg@Ei@R>)bhGGO0g;QBA zf5iENc@keB=HubCbD)8jkJwOhU9Elhn#biJcv{>Os%h%R+c_S(>Ku=9Bpar(Rk>?1ECmcvo z=m}6Oe{a{1>~a9&>f}4Hrup&4FRTC>u*6w=pK*5ib0lFTd{r+Xe?nm;mA z8sQB*_gUY9wUG|pwP~Bi8)y5N#)}tP3PIWRapxPo(c5yJJFMBx{u_{Qk42`KLr`{& zv{S^qZrA}Fg0THU&B?f5ITG4%kRca(O+AlP=xM9j0F>9tJT!h`yOzwzt&L3Qp}gCY zvFoJ-eY{q+=b)8W9@mQEPfR9Pb~nndkt2*0QrmK$yK|2>SR^f1k;SfVH5P@qg>f$T ztt}W5ir2i&Y!BQ3x<|fd-q76|&Ya#GxzJ0BOxz&L+MkB8Ef;#4ZnX!plY_D{4B^&j z!~w%AfHf%D8{Z2T7UrJ=2tyCV@(bZI?3|8u#$l^?9bnOQsGr{vW=}3nmdu>|HJreJ z*86eRN9Fns-IQa{G>sfvjgj-3k{lBj#$ zkK-?i01AIcb02*1TD6j5=r@d(CF$=QHpvt$p3qihzqLfwfsuE_F5jda7>w+u=Uuef+4S`;^u zzLn>E*7Dur$Uyp*eY3uGA5=Snk)tbb);I6^eeRKh?>J#@A713~?PvNcPoT4W({3kp zMV~%Lf|s`Cc(XTfp@0E#_^dv>5Nmih8}sg$>9SFbn9Q;Kfd~`k!Dw4fb9Y1V3nPbl zOVMrHjE*y{v0(j+*i_zerzq(!cK6&$_~w40MF8|<%}Oj;K5~1x8yY8ZFEdQ?enae{ z$BPVq@Z>B8%$VAK^E>M0J>q5oTW53gA6o*Og>UyPqYXbpG;i7k;L;Yo`v_8q!5g3; zdLWL~(`d^REy1=_tZtiIyl_)Gai_)c$6X>^;BnYFY0JUUX1M>U@ zh1|P>b!b6!&T)cs%}mFXjdZR&ocdCZa||b?7jRrL=BaRRO#3Gtq2DVdICUvfm9BoS z*?SyWoA!kSaIxDKRGlIOH`u(_cN%+TC!HA6p9p*eRgN8zLbxMkuTSW;q{4B|HfwtOV$Rdc+fQY9mmN?3g;wT->7kqVV1swuj}@J= zud^i{h?5Kf4DW@Y3-b?xT)}?gm>H3J1QV1bCl83>(RVBld!CLC)J0 z>9&t!@Nj{zt$`(|{s_Pv3pGxc?rsS22O{wp&*cYU@sXg;FL)v>5|JK+#XHkV@f%ts?r}7Jkm5aLc|W$t=}exuQ0Uhw&bEHajh(4}$6Xa4)}dW{HXG5VuTM-E zeM&pojP}l+2sI`1(R-l=ridjtzYv6!PiNhsx$2nt$ve*< zIT`Q1KhXqEyprS$m*1ILSe^;B9X#a$M$auLYooi8trHP(8n7@9aNVrQ{{R5k%%1 ze`frCrLhE!`d*0GPM&Cv8LyT@P*}Gaet)mpyg4hll2^p*aP&>@b!fQVz199u4^9l1 zJ)@Ct7j*^&1|!!`{TRyz%UsXZj@Xu0>E+z+{>btq4*jrRD^db*iGcx(4EDYj!vZ$< zr`a5sz`Vn%f2p+`D!cuW%N^*0be(I!{+_4B|Tgcy)jp>K|Z;|(XF_JL7s zeMgRC@$j^f`3)uZ-^ofhr{gKHbXsIO6`M|Z-7sO68PPZ_uwMKehqGbVO8S1V5_!rT z&IwqFVrKFY=m3djix-lc_O#Fm`tm2jySZ5;bOd+dv06b(&A_tLS{U;=(wnn2-T?tS zQDRFyt*WJ$6P6bmpeo-7fKQ8&%Fb9q)^^&uqlEQb?o}eZ@F2*2C3Ed*A6wV(3!L}I z8I|7)Cumm5uX9?QGOLU2(tt0%Wk&`fzvBcmhq-eOLZ02OLyZSX4SXS>Qq_CpN9BTs zcx49_)1i6*sA@@7v_RbCct3r&>$vbcc7Qo;Ad4L?$CK2!%xy&dB z3kr2I#DBVv&+iXw78Mah)&!9=3z$#1{Jh=(fVf+L;}8L%jznWeOv&SWkc)cek?oA< z!3=sVIkf}RS<4k3x9FU8bu5kmV>tf|O=qkT255g^U)yZsh0q)Pojc-9m}KN2(9@H? zaithYTJOueUx=hsw9*{#mpexq2P%SqTyfw~pU=0*HeRT~EosKsGoLW25SM%`12hky zo3iBPJ(H(L_lh3`UDimw!B^No;`$W#tWfs&&idTE6@J0j1y|fYRv%_~J;>c$QytpP zf5(O+hH`RO<;XOG9zupWTV~kt9`BhJdHssN;RJWT8A;FV0i89A!vW^%b0M77h0X2& zPn8^#$B1l_=vkRR8AkGzFVGirgCpi6?)a?GEx!7D)fuZb|=Srb)dreM(oXMP44UK%d;du6~b4qbF=7 zWZJSnIT3amlOU%2~N;hZK*W?C}5ZLP9>&$0#1x%oj$kJ4hY(ljW5# z1g~74gpPq+{zRlE{K-pxw%i1{xT;^yY(!7Z7k2I)%jng6zR>jdo(R(+^ECg-1mb-1 zF=*D6J6StFxvD&lybg4$A}1;=h%0}2SWH@e`N|8%D|>RyPi|)B{^ao|ZQpr8gM4IK zLC&|IOohiOlotCl7tT=&XcIA`hini~eo~hm$WHJ3(K$ z6`97>qwufXOCI`mrqAVfZNHuIQ}Io|9#m%$8_iwch5n~9>9an0CH7Oun~@#g1%}pL zdDEou$$5io|!Gp#P<@pJps_gf%IZtvb&-btkOuS`4ICpH;;a2YR=nOOFdPhMxt zAAGW0Wu1X5S7fX+X>fIiP=4}An?2;2HZ;iD4F!4Ug$blh`PWwSw+2O%RJL^)c;<`E zm3>v4BfqaddHl#k13gpjY0JNsE7z;G4JPT_m%ab|J`w{TWL?8MgAPCO{N*jh0$%b& z=|i>1vXzXR@V-)f%t!zIT+C$t$yFQLbv_MC0xl2e&NvVo zk*m{1t*|6sNpy$IzyTKGqn~9o>A119G8uAQp^EYhh!Zx%BC9A)wksDtbMD_RYPrhm^fX zULkNUmUeh*=1)HI^m$|f0kwwo;gOAQ{OmkI6K4TL6%6>EP#)&J`kYebb~wvigK4fVr(ql_^l(Tej zttvY^a<=5+mY$X@WlI)MN)YhM2ocD)!@`g!HFB@yo%pzK^^><8E|H8SPt0?Qyx#+l zKe=mb5VS8c%usS+Yx|CTuJSxjR{CD~)eMrNRUU#0KXJ?OF37@?=611U+AGT=@4%&) zpLXU8c}*?l*(&CJsFd=^uchQwumA;;izcw=6MG(d1rU%fvJCx#leXT!f9}`1)kogu zIRZbq>d#Fd?sXVBU)@3~}Kzo!a7qGYG#^zL95Rdl7sQHvz%4jkuM&8p)8B>2z!Uy8v#a!-KVAot_cj+#rmdC8Hiz1bOFy^-fyeexlr0J>4qx>*n& z)I`pfVaQq0FBaO9%X=s1l;3r#d*+BMW+XktDy^-p%gfr(m$fNtu0`kM&UmL&UW0+Q z$Sa2j?|fpBu6d`^$ZzjU294n=N^Z=^J758nVddIjgFU$~)RbGQxrK6lm&`u{4CD%K z(M1b<|0-9RQwW&pxk3A9EU6WxSb$8D5q7e&m=kxta(QHff=fOr7zObnx%$S&H?n+~ z@#|iwdCM*c{m82u9Qg9{l>HJ8{35?^z5Qt8ns%o7?oXC~THB8P-sR+0;F;Iob!{~^ z`7CxBnxLFH^1B?EkQiM%w;yTUc;wTzQSyS;kR?!V&zd-rHs^U^fB?Ds$N)e>#>d>dFh1t$ zJ5TK=cUkUXTND|_mAtos_Fcp!W^&|V$zRh*YNS4E{z>~_Hh*#hK+KYBupcQ9dd0~1 zZ{2Kx+Q{$oSg21P%+c^&STdmc+0wwH6L&mCM*onUYLLZE@XAZ{^zq1KGQ#v!J>%c$ zS(Zb@D5B}WI4a`Ee$WDYrqms7Tlu|s zsRc7*UN~Sj%(Z)mro66C`S7EQG7Tnl{rQM%5tQzEW*AN;ch;1F?vR#G#4?dfn@3K6 zuD}|su>9t=#4Mq*9>9>O zJs)I|K&s@;VH%7!*I;(3{uFyv0b}>b1!7P%xiDoA&UHk8oim_SjLwUBwL_V3X#2S%zb<^8npi2J30ajJ@@O?OgoUZsz_dd5RRuCkLG9xID#z%qDN z9!$89YumThZU_>k7}-@8#ZX?r4J~&M8QDt>FQC1WfrK0w^1C32%2FR^F%B$g-K?TT zfK@uH#Gt+%?*WZgEBMOM1s>lF2m3%?$`XCa@BXen}0^+23^9VP!>SnE6Zm)kIrNZ@%@og@1J~R=9&L-s+^Zi1n7!5er^}N5utWOc_Szl@+0bm zMeF9;V8_U&fz!pN0{`PWSw8afyCdW^7v4kpkUut-B#m+M&tn^d3H@{lljWwC3s zn;>)mipz(4z|!(c2x!;aw%jpYI|h`Va{tNG?>(D{bIPDBE!St{;|`z@S-~^xL$2*? z`6Ivb(8kYv(yGsTR4m!}S^`H+A@T;Xi%>#w%rPt^vsQU zXTZ+IF{$(?ZW#yr=r}ksw}HFJ3JRbLd7T7uAS?cGjps!iuIfB0%OkF`S|0H@0XcgR zA!T`&Ad2G-KFiz|xPp5YhyI#3ez?Z+7%;bQ`iiA`6o%yrh5Sg_wMajh<2N@1G5>P^ zkeAo&5`?!SBZgs7mtJaGb5U7fNzKau{InzAEzlI$HTCYE^>vsXWh%gFTck7qMdX1a zoje{D1))?eE5no<1Xuv;Q9dY|$F5&qm0B%hZR(olIc7dtu*uad`1yBiHZ#jzRtA{t z^LGR|`G~yozFuL{&&BWT#jBR2R^*{~i%+c@(l}S<6j>P>!{$D*Nq9v?^4Xomti0ED zmc0DPqShZ>p$%tTvn-gE3fifjMcHR7$e>E@C~!UHg`ij2XsalsrK}6F)>g0=0w#*2yR~MVVG$l}~y>?dC4c^+#|^eqa}E zAH4p#eo)C!Zgh!ss(=~K{QP{R`m@M5np)cI(zrSE zDXoqvdp=wZdD|UJTwK-CqNk+j=SEz zTDiQNnt-bn=;3#Mem5;oP}kL{;8&KHsFiE0RtoC(ytctASM&xg|A>pL8tuEtOPg=z ze0hO5Ln~}^{tD|L&n zw8BIvH%}Fp#K=?-#pmDa&+-GSVKP}(M8xJP3N zo1o0AaU|xqcQNx+Fe2{UH{xlnNW>>k|5SF!QfwLWk~piZ`#Tb8bW=cJ)5(jMVaU_t zz>v=@R@ozgAkQ^FLznsEjP#$pwKyG70Ep+i^?-fE=Uage&(p);;khniqOa#ihX*!1 zzY7@vbJYZd^NL+G3t+*E{QlE#TaaWG1||9Vr=Kh#s$5vI6vD!kr#7(R()d%Pv8PHu zOH^_Lusf~G4LI(k)xNR--x~}}JBxYpwWr9Q(#&L(ODlSN71zis=i^9wsvLG+Svvle zCAj64^A6P>f%Cj#-f`Na;TsJGr?3A0p zkj<#)@(n}$xeajSk~XwfL``XiIF_IDNv)OD7UkxN{ z`7?lHEjc$EK)mVQfZ+BlX1GJEMZd8!=R+QOE;bP7r$CBU1qayxddF1?i9Tv^}w$-&UYe?lWe5G_* zVH=>s`F4zEkwpuCW$l{XrKwxMOs$G}vsJ^#%i|KY){Jm0mv?l~oFZ!;Qkdtrou(aq zy4GD0^9|X{OPBIawqG@gRc*%LpT(lTYDcxl>7l+0SyO9R1e2k<0aBgUP-F7X;{Map zjtp5qu7}7)tAj;$X1QmbzZqr!lV!0GHSqIKk+YAiH3k1S0JifWZ4z_b46r@2+_f}O zs2c#?QklA>E9=i^Yo06ifOQVCIP6+eJ+pyYP5QRUs0C+#vOhH7y`}5=qhC(d($>W0 z+nU&XTN6uJ1A04m%n;yx1A2Sp&njrY)<)NsB9o}dTR+Rt`3AgpUV4ydH18lV`1agW zv&)p2vP`!r+zk!p;QUpm9J`vayyeEMB3)sDJ-PDlLb&94U8dU_((g+k$IXnz^17oV zTqA=TtjW3dyXu6&AvhPeb@73;Hg^ay!E zc4MyI`9hPv?rMT;NQEG^$6_Z19<6PydVkFa&1S3~x%xHR1KJQ@R|A>D$v?kKX# zcjj>l`UbgOm0zHrYZe7D)?g0J!@%sHM~c^t1s2ejMe!80q0~hUXlc1!wU5!V^|gVp zA%8j8Kl9V?N;-30x@bZmWH`C4Y8-7tP`7R9u>z*jDus*9t{JjAA3MOvAjJ=H8Z@IQ z%%XmXF|=RDl%6oEO(}iLm>c8h+hK{#+Y)TCBFcFXrdiS6hlW+QF{gCa)FT~?wRwFp zYi)iUW`KPEyLcb@y)wo0cVT1~NrOFChJw(MHN%l7Q9`cUkZ6i#9Ef>GS8HyA`L>C? zWn}E5Bjb23j|YsGkc-@YerDj&mmM92YMp##p}A>bR!pw4X2gmk%RL*SURfsGe1yc} zl|@yWMRk)Y_QE#BUf95|m`C_5LiO^>I9KHxs_vN+0oqkAROVg%E(koS0e0VV73$FD z)+NoY^5v%RP_)^KG`>}_*MPclHO6xVgf2k5_xoWZ)UD9GS8 zyJ*x?eD|+d^;3+lcgxyl5dn`pE<5NPM+(PUQsjazycQymn+}Xl{%TX)p|3o2&^pcb zC*#~FFF2ykAf!NM#VSAYPlc8oOQ)iG8uDZ}xqVB7LPJD?%)0$Ze<9c}m;WkzDvzJ? z-W5iM?G~iME9;SETKbsWqe4>Arp9}6{0}ocI-T#_sj1-t}%l{7I}?kMEXWA>S=9@eTu`6xN0m)?^Fsmh_JP)#v&t zd}kG+!=`t#*z$7I%}BT8{*~uMuL3*lRfCl~>}+`q)t!NTK=XKND)Ux#r}6)OmSEs+ zcC%bNfe8W&|T7 zF49t3wlm1GrFRU3ylz_Zz$}Wzpj!xe7H3vPyK(C$vH!eG7{Yp&@XX%z;Mjp)Yx29q z{B}@NR(adex4m0{eCLsgr6J3q`ITiI>|;t#DB%BIIvEuj za)qYRu{}1$N5|wUQq@(p^wqQ{R@b^OVb|@3%#-Jj4$9s1`8{;d>?w`iEBoep7joEF zJo#|ZNx=BFmBOO~P6_*7xy#C85Inhm$-6ZE=KU(!{NF(=pBp*_Rothbio2dnI!+=} zWK}6<7X(eWlZwbP-f%EU=Bz%uzPw8(&Y!`KXk`&~^FXk26*=1(Iu0f$mp+dCEJlq! zmAA4_u|IblJG%TVT6dp{UFdT?QuQSUosKx>Dz|I5VeCF~zakg=RPxF`H5eXKaaN{k zpeR0^KE<=#aR||;b*{~wDU!OKN#t=sBlM{T=RU;<(x-4$bsSLgyN;+{(*h52VG@bo zaRSLZ7b2|XL!GU4J#rj;7a<{$?l_<{k%hyy;{=jmjvXP_GmF^*+bzC2i$5?~{NNqI)VU^Aj0Sxvc|}Job)GH@8n-;(kx*tf7JbOaRUB?-w!MHDnv-$yXw9eG8w_KyI=o<(NK{Nxf|&BPOSMM+VY7x)Gq5l_T)0>iwz$*eNrwTS!Nmx0X}0Kc<6kHIFzDu1fu? z@V9n^Fv`zD>(OzD&7%qtjQMt<*Xf{BJ#zQRfP@YL)%@-z!~clUy@O0O&sBss%7=hr zSLAu!<1IO9u1(jbBAP5W6};a0cbuQ|Kp1jF{ejMPKR<8;^K?#v^yNkW=mGj|X zAYyUl(z+be1|k%95{IAi9^^HHEL5JaT$pC-yP&TV&&~jmc*&K2hgdSN4a7T2>0&h> zh<_}(cJuj>i&TD!MSLJ0vgYEaI5Wm$343yN*H8J%kU0<{S#tfLv&)wky=OdvydRGO zipHaU^MTAUB5K!evEB^?NG8A2K!D_y`>bn^TnUv>G)!sUCBp=Vo)`;CGJTrz$f@&{t9<#Qxk&~BEc2+htTsP#a;gmw_oljnsW*QoSQcxpjwmhz z0h!qhJS-$LS68zTjG_qCVdT8I`kH89l$sCO!=f;gZa)x)DetR8@1NS7#*^qW;|jut zCS#_MAGCrMj0xcy@@QEY(O5SzWF1I7n`db)vabyoN=p_q=lFn~w8_)5I1iAY=Dq>@ zX@0y8eOZ+l1UT*U6b0L9zPsf}+M#CFQ8nwq0JmxSs&QtyCC)kLfO)`F{<#{447-XKoA@;#^r^<>mG+-+c*0Z@_5W zQpg>Sk>LR^2JG_*e$4wmGtPfVs2gH#YHP4j5XqHUXy2 zy7L8`7o@~@g~@9Gtf^8(DERsJAyCx;>uEZ=4OmZGe&LYA{(yZni&Ka?MweiK(IpyY zfao)K{}k8eK;ZJubq7pF3Kz8&*3w+~(zO@X(kZg2t;P|WD+5g`zid}|84!nglj#aE z9DU11(bXI<5M-RY`7|AgM|VUsaHjilK$ux9g7g5MiAj@Bv3-dk`FDGV@GgwW1v@SS z-Z83)0V_xz_R9dlsqRZSLkwG#q-};;4hC*1pMVeu_bJ1AmDH0$D0m#MEpr*T9@w*b};>2g15(3F2AwGE==&(J(wq=BdD4{y9to>?1N4Y0|PJvsqybQz_O54WK*Gp*iFgmi6^rTuS$O{{0RhzaYJYqm5@Fofk%HWBcdj_>o)<2HbxwmwZe@4n*D z+iM=<69JtiSHI;!^@@TgoCxXc^81j+H(_d^)e_w z@-(b%(hno+-xKDwlKUOWHnLc3?}%*dVXFtnQ7*#{6ehCJy*Gi z$7+IAEcI`xOdem1Wn-GTYUiJ`GBIJSnz^u=?M0I*pmS}7C3PY>R8spUvP0$4nvAO= zobwZuWBFOK8-=Dai&%JOk+|In(y*kLOmKv?{QI!I>s?oj-D4I#UI7wbEjoLdJ!uwU z6PQRIU32jQj01ukFaMsF6VXI6>HP58dHa}dbbI~{^KVYD+U9q|N6~U|TaqIKpUz0Y zVJx`QQY__;J=#@Af-EOl=Frcbq6C~x%b4_JS=KcKZ|BNXA?P(E{Qg+Jr$RAj)r=Pt zX1tNbF7MJ6_Z_RFeYVnBB?0)XO0hW2&b6})6kL9}A|s|*u0$4osaYlG=d5xbn=nje zaZ7%@S%tQ3S_E>D3;L1GR+P&V6aIvCXymREsa87xVCLG?Klm#yFIv zvIw)y9bst3yzDk#bRK_Ph(D*r!RF$su<%XiWmy@^0ty}!%sY@Hs#V~oN;G|fURrA;<>0G5BF+rr{0UI1*~CJW|c(hFVw)oFJ# zXch!3R#>ME2+Enw#ZEKXD;v}Sh$g2d?6#R8YsMrqxK$3kSLPk4)n4x56!?xNa_@S7 z9yVd%vLoATwb%I~_sUiqXR^ZH;qsHu=+o{`UjpF?nO6((59^_GV^cmE*fb5npR`#Z zl@j=DE}<=(pwLfU3CjF*`Z8P+`=V3K;GI{@7J&(NsJsY*9V+h^ON>+#6zjQSTPNd^ zgn4rbkJf}GCXWH5f)ZJI|K>Vc+*$H+IW*2~?zomO6#ZS)uPq1@17GnQbMJvUe3MY! zWpU;sj<+5=UgqcR6W4#H zRso3>C-+8KU}+2P>$GAn=;t$uN{#{Kmd|su7-KhEDp_LK6X%$VS@XFaGrwfrG^1G?C^}q(W@%u@N(x8+R?v!_unQ{yV32+ORF~tp%6Ju|&mO z2u@DR^DS1P7TbTO!!y{SHNqx7v z>$Fq~7Di~Q&KlXHwpJWpebEM)oxQ!A(hAjS+7NEds=uosCrx*x42j>~+HwZYWb!VxPj|Ud14tHWs47tm_BIndJbH|xes(Yr-$ae{$EV#4<<8ZD%(2`kwgR_@{);P|w!IZb8Q zz+C3e5tuG0RehH;{mwqa_`;$`n1gR+Lt zZ_CS&JN8Jt*9MHR%KbYZv35}x@`mj-As}`Uy7yO{KetPDJ)9ZZOr5_XeaK=g_b>T4Q=rMaV2{ehEjg=iW1q}l1DnXm z_1i@s*kU7kWr56XWuV+evP$i8;*@K<`-X)yKYXf+O}^d9=BSM`Ngn1#c9~Z6jYEq3 zj&p3!7rM-YYDuVOzA&@qvte<~&l>=?@`gYa1ZZE>Ev~3fWci9Bu$Rb5F?8 zbpxk4a@9tYhc%-pP$0B_wTD%ma^~28Rp!!-d?59-1E{PyWo+omitAJlnUM_LLu*$T~1URWPN!l03cR= z?y^Q&rkazBFWK@9t7>UfZVqJucyD7B$klIxQ{G+jaco1k%I!iD34j?LYs)N2`-f*> z1N@plg%J(xEa$WKD{g6gmn9p(*t~mn3w_I_4Kbo^AY;4yE*8lRq->D_m(UjNKC}Wf z%~r!`ZUAZXzyOdo7p@#oy9-u+ckv7Fu3D0@5-hnODWZ2*UiocA1G)IswP_Lzw~c2Y z*L^J=2EfWcxqj=&xDbunfVjCdb5Z8kX{yf+Xs&#SExAc|7j*pY5{iv9r?meR^FwcA zD#)+b2@c?HR)9fVAY=55pU0Q%gaGzt1rosCtauo*H;ZE2+Q>B|KX=`BEZI;NXSVdd zvd}W_5jGOeZzLNk^0UNCZ-fc;tfCDiHr_}tl!rX%HgkEJTxf%Bvu82GHny>6=8=F2 zxw-ak%JON9EmLmS)d+N%D~n4j(*w=isLx>%=B?pquym69T-7FnY z{#mB5QC8;K4pk70u`=%jLl~F#P*S-)rVgB`!*z1yS<7dSfx-pF1^i$zfCgs7^`Q!>9axr(`mb1(_?l&uyBMJIsK3ojVYQK$!GM5LV zL!Q^hG?~>904SvZRk7w1K5_GCZZK26r^I}N(2VRU=~efXG&mbp?Ob2LzgiZ>D!r%C zyp4Q8a*6M06M5zf0&LoV?}+$LhJ4xtN+wsJ>OurNc!rbhX)1oc(6qgnyt#r+SF+jZ zf-s-$p27;g0dQ!!`7oYkwagF>x%8oPe~zZDAKE$uvge*hT*E9!Of z{qCjv*&@$FbtC#Vwvha@E;Hs7&Tai61ldLik~JMLg5^Yj&U zU4nlu|4fep-07V%w!d7Pp@!2nB;FHI0geVRN7^=LQ~r77c&QDCO`aob{kite*DuL? zxfgl3F=tr%mNVv3&Vp?YlU(}F0mcYXINX~jMIi9xcZtQ@@L1%t!s8F%@a)F0WCmk49xktvPD8fkK5-1 zs&;@{8S;BxdQVXT#DggOq*ESXT5?l?Yp(hEDrkjM#Ql2!WY*ia{wzKpi;Q6=C)T~m zwsL@L&K*|_6e!QbvY799b=;ksC+RW{QY0rA>nUnCI`B4RQmzAcLzVI+H`Or=Pst4) z@;)PdmkUMuV^l3(45tUqi7oP!7|jFkL>}1iKFs|4tlB<bFsY=6i%pyPJ2GP4u)lA{1 z>h^k&6Km%Rz}c0{112`#FFM^T_N;0g;H>l0gFDJGyWO!ISGjUSOd{teZ`Conf&B6* z5lRPU@hE^K%=snv%R+5DyEDshOQ-%ehd_Qn4qV5e>Ltrl&=RL9 zdh&pYS06Y!H=CGJ4*Uz!{wiD`$C5zh_EmAhA2=ksJTLH)1BXOjtKfjhI)!;4a(#e@ zm)|Ai?KBB_JIDf+Yol49Uiqgtn(X<8!pn2tvO+z%`Emd}fa%HYT|RafL(wa5ZCe-o z_(7hix^jJnkO9AP)5fb8{lH_A{blb30hJx3;K&Q7rH)#;#QF2NXVc+0yA1y+u=CTV z_UCda)v_r2)0XxgyykLy7kw1Dpz zK>DYh-v_V!BR8zuwX#R(|#0Icy;7^A4xuO+K=()z^x;*^W>=D z(;tB;93*@iS%f~n^99umdeQrfaQq**c|;W3&grW1g7xI&(rQ3B%-4Frd_Cp&B9B+e z3wXNa$&?E?r03QnxKD1_a(Duxde)%>)Jp9C>5?<)zz3B-HK?ugLIxjHR(auss`9)r zZGvx+r{Zd{Fb7VktOkJWI*(1G;?82%;xP4Re!o#B%7rOPDEvlwuJ$2edzK8j5+1Qk_WXKsPq`IN^Xy26+Y&@ zdE|Fh4dA|!54ev`mP2G4*-H-mH79q^5tfVt2aP`d(;Y{6;g2z~eByW%jwF{xcw6&*Rl^0%@qVY&Pv+1bue`q2ZI$;{;s z!R#LRP>NJ&NQUYIuStG>3M z3Xl|ao|dQl>js7g8}8(~V5aF~DVcKDW0jWrzN2U53hkxeLKivs=YUlpvNjpL_^Cu>M)y`)424w`;7! zv0$29Lrt%95Kfba%i<=75ZgjokhcdxGb=aX{r*`ATGMw~;*JjDR`U3PYaoA*HPzOG z$PcL>fVH`PQZX&B9udFvlQ!j5a*irIrtuGo~@R*D(~BC zXLtE4E;%wF9%IY%KkYe;K_dOkS&{+lz*~_Q<0b6u2f-22+9S^Rvww^c`^TAk5Dcpi zba8*4{p1L}18+xOis9@KITMy2ke20#H4Wi0%z57Cz*3fL3o4xSvEF@yV9iYhbAzcN z-)|beJRmD80IXUbNDbwJ?wo*kW{q_>**LdGN*o~iWS8F~;*L1Cj6E!W&OPP0wlyO? zsEc5=tp6$}Klrq2Ui`L%gC5-%nXmGlDV8$qfC+}ONsUO#ZeFNYRIAYu1j_+ARc;uV z=%@TXb6n^-KV}mnvq}wnRo}%O(wwhH$*j(ijIYPI=jCU~H-Er=m1lubU**~iNs)An zTRt0Qj9p%C=+coxFxKY`#nhgoKpg3X>F22P>|8OD9&ma==)h#c#R0ylxAd^}(3Wr7OVtmA86w zY>ejx_{1^GC?5`nd7cs&=TiOCGFj8X*puFV6@om+5#H71chzQ3PK(wM>P6LYwMsc_ zW02EOf|z3kA*Vy#E5dlYvRqQ-Ag5yx#MGA%vo!`XY{NBOsA*h6tl6uC3oRW<8`|Pv z^TEdTpwxtOx;@+*%D>Z&iM};AP}{uXja|2!%M;@SAi4G!*LJFH%@E)A)L;UEo&#|t z>jvcfSzft4xoHTSC@aeuCj&WK?VCl(5y1yr0pv`20{Q6cM%bbn?;n}k8}dq8Dde2j zxjAba$j>^(op&x=$kAG_ym}rd=CgTncYx(Nx0hx`k86OOy(Eyk*5|nG<|!02Zm2!9 zY~irJDQ2@M)vw zg{-JUmeJNO(F_MC!tZl^Tgwy8q8ge!o>@R4&!m|^&iv_+PcmJ$hfxxUYnT*^R<>v3 z3gnTNV8}Y!TF%`CF=GcBNdET282UvytLTvNx?H}%9$y)tw%lCdOK#u}@tEH_C_h>O zF)=`H$szzb9Z?}p8LZ6=47vN^q0Fm8+kbi8LS%(}jy?WFT-hFg3s^|=3--|ha$YQm zCF^y#kmFP#Pg(2C?4INvpdaHLgWTo${z!#kcF(H=*vC_U^%A*c&!JrM=tbG;KlWVt2}*_(V=>B?=HCDrBr3H=dlrzCDk88ogTjHcarchau)6uZrW@djH9~-jGygkaLI=WVmwW!jNe`GUqqMCDVA6E#q(q z6;MN*zLWG$in2k%9gw@q+yVLJH4_0fq*luN|B&+}sLELv)DJ~ ze6EIEGgt)|nkY&G2`J?O9psaG0LTa%WqkpH9kL!epC*%HN_s-b`sHV~9z)#n<$?0c zcb6y6aPt%7yX%lSH0#f|11+W0re#ioSMDp%cw}_V<8BT&-Sd1lv2&yuH5nD}mR87J zwg%84W+ibhKO7z&p^!&4*M8|fXNLSoF7yP{fqZn%`jH5ev`{WO8W0g6U-Jz48sZj$ zd}OLHEv&mdAwII;T0}s8-O{7Iao)+#OUBYtB@H11^0N_eaO9t!eN50+oY1(MAZW&XU{H{Z3IdkZh=aa|&GBUMX z-W;;^FIB4$Kas!N+8W_JQ~Fe zeuZ4*iWU+oW1QE=7X^$bR4rvh|*;s;zk6h)WLq}+O zAgfXdA4|4%ATdndgWz)+S(F`96Tv{?O5OaVMXeckrXo5KBu^A&$*3#tiH%Pk@w4^hZ)%2 z^T0h*kM&1FOCf_)XXFbb!TlglndWAB?^#xD2!?feVYaM8L>TNtf5@ zOapIO)(7BRlh$l~`_{gNTXITqL&oXZq8-5SzOs0w09(ft5YiMS{;Ej~`j> zV<$(_v;wPo$zsV)NnEJe{#73FVnWXF9>_Ud1adx-mq$>HkdM5+WU460Rn8*i5kLpz zq17q5rwh#VX&M!n>C-SMVCI$9)~dx5L-rS;X)2U zg*<;`vBVb`-)b(u>&NV3DKC#~+{JQ=`mSeJ+$)bFP0ty8A$IxB2wj(+A4i5= z4n>EUkuQ*^HgxKs&G^JuRGVi(@LVF|!-cHS6sTJw%IUozbnfJrziY?NuiM%YyQAd;(#1R}|*Q!IfRPg@BhSalEyFm>%XksRtymt9T$_{exvd}yEe{Ov(&fIW)g8;5lK8kv z{TT;F>z2hFVFvkRwE26XHR;Nlv%9=vm&F9kY(4)xT3*QzQr45^QY=I6lixp|JW7xO zcjfYC-oA@bwXOUDtbHR_cM5GNF61O$kl_}{7m)ULa96J7yU3j^ zZ#j||BLsi)D=Z*bE{tqgEJ#qB_fqn^^)Ra8VFXR-{gF^~i@ufLPkH z5FnP0FU4rcb0eBXn3sG3&RQu#^%=y79Vv3%o<3?s{LEK63^rsn0+ghR0v!o58z9^#_|5@BUU+6cmg{Am$bmek{7E@0_bK+;9d zagLBrHlGzlmdOj0@fsJh0jO9cS*`&5PDgIoIgK?goP=F@WvEJ0C36JlZtY?~gO5{1da+Sdag1!7*;PI__H|%O^E+E_+Qs9;~0Z!kVRb{w+^S6MTH*auo^JYhEfulF? zK^Bjd3qS~n+#vW$$k`fR5KdL|eCW+-KuV>kPMU(G)LUdxCya$JYmRWu=IsL!P%SUD zz00Bn&urepEF>yF&-J1H1Gfgmj2(tNwZ|=VImt)0A-EU2{N82m!rdr8>k10*qlj|c zfOj#E;E`#VATAle@HJ+oeLT7xkK(!zQW-!j+4550e9YRxut2|_FXSK*$TQI=Lsq~O z2o)TFW3HdVfTNXf$RLIShoiJN^W{Lyxa3!Ef~YB@^}No3QY|m5qigRCIjSN0C%Cz08zL8(2j->AqU@4z(aCCzXdNwXX?Gpf96(r>f1f$>4WjDppexHeB3yb~e$S+_ zkU^v^H!L~M!Kv4pTsX3n|M>9=5_jamh4`O5_YnV6<#}D{kqniI6c3D9xbc6QwXjhx6IFn3qbPa7YwmXmT5MlEQ>Fu%*>tIaNs@lrVE4o zi2h|xRH;$UfCO>N`D6m>Eu($urZShFN9IzEYpy9PH8|Uhf%t+n}aL%~5Tt&2ZXmKx+A`+P?>bDz zmZ=O*ztxjpG9_W zRj{@ZPv-)++9vnbFN?UbA_dAg0|#L~m|OM+N_ey$lD_sT5~$^)K*+?STUO70g|-%;c=@}6*9jB+SHvj3c%=og|6D-hvz zDelKP0A4u}r%ZyQp22s46{pWBM|zrRS?WK7eY}zmlLHgkJo$o*%2T^IN>0_f0bZ6D z;#0*N{>od6JK0%ZEQBx*Bg7D9#U4R~dB!7%P&TU55q_D3C+2tv%;8t6}!{4OCM1@s`&n-M|8@Th_y#XL_C zq?n5v3Sue8AWCup<_USj&<^`C<^f$HZ`gm?c1LRj0`)3u{M|=8s5|y>N4xA!YIbyj#M~-VpG3~{|8?&gJ zE}|V%ufT`C3SiN%PUq@15$T{0KWZ8Bra2Qo&K{8YeB20>LH6TWQAm_?~D0ZKUptdf*i)LF9 zCAM?(TGr31<>gCaq-nPR#cC*w+_+wTayCxZryuS4@iQ<+ z%Z`KkH4kY)* z)auNm!$fc%^^r)<3NUAD`SC4d6d17l^e)=g-K6lXPamBx=O*Qzl*Kgm%1xi{+D;Hu zeuCgzR7@;lyUIb_LUJztQ1$0D2X*_TuD~sA#z(87l zTM;u@1>tf!=Od?FW5n+)l%G8NiYiOh7?b7sW{W!b=J|Y+lVe4G#XJtcnVefAqo!m& zcZiv4?v=-rb(3n@6mwsUym?j770c5j(Jw(>iDeSLYl*2rmTIt+rs-I8HZ(V+RQ?Z(nn2f8sU zbpt>nk2c8;2Jy)148LT)d+BCjA+1^7x;M4cWcSmAbUkQ&{l*2CKaUir9W#FUquw(7Fp2&6@hwrMTc)IKVbZ9c~lqyTfRZG z<2o!hrR58{MuQ?PkI}Ind0x_SLY^6BSV?J?S_~gd9+yKRiYqA1lCoKckOD#0DKsRv z6Xcph2`hXk`n$lsD_jUCi@F%WV~|(kDM0TE3xCbGH=%*3Q=m!}Ci$ePSHuuEbyz%cC1M z>AZ7T*wN0ipph#~%(=KT^xK)roxA(pCr_&GQglyMPBO@HP^}0YDk4weLZ}Q3N>wt8 zZGHo=Zh8D0Ygx?g8hv_)B06ogSEI}VaH z=gl7GysTetbD^d8BQhfIzMz6y`GJ~|!F3a51A34`Sqy4`oh^^JXLUzxEanD6ezW%z zA--dj660*v7&%h}%5JmXNT6Ns$H{s2TqLeI7Z;A*p>2B6lQqpTU&n%3yS-s(RU=tYJh z3<6REP}R%*+4gQoNBICwK(W8nksoeO4z%$|Zw_rP_A~i7P;PSZqib!U@8>nNNET1X zTNG5F%ZDA@>);2NI&olB82N+EF72CJDlCy&K&m(5Q1_%PzF}f8vZz4^hFFl_dv-*a z<636r{u#>NihDB4>tSYQFW`s;1inAPv#2Up%8V9S}%7qt!yPH`okE|;0R{PH5> zpw`etjPb$jM|ll`{U}dcWR=QWEjS6~XCY{4RXOi*LA#>r#$Fk=4_dZD`Oz=citbjh zXXVWiAx61+t^Yhf^0C+qTwUHT_FCAaq%+BgSpPj-1Z!{lbI*1>*ogFJ#1rS=hktov zJZngzl_y>)R~OJa>lVRfH@cMVzmtvkYI7Uw|bkzhLK_ zNzKl;MTXMO%qj?+DYlt!w&y%D&5mF$ngu|OEH?>@ftDu&5o%r@S_pTla{rPg3DHiu z{Nl`2=JhZ=C>IXDK-SM0>eTXuA#{USqUC$EAbqdK9%XB4vNzd6lOIR^xLm&~5KPox z7CAJa9J!#7zh-=txd~0^GaIs46_K|r9Ed~8kBfJqA;w6$_nqld9SJdQNJ2G4uKIJ! zUe*S($-JnxAw#Pfw^shxW9i2qM|*3ADWWvWdID)W@tbN22w2MN00NeFuH9UE`@5m! zpVuRWFNyeQ7ONy50#V%ZfY7)$ zT2-!8V6x0Zw>O=LUDK-KLXJtsJY{Z+`LH*7)7mK3zF9m}76tp!I`E_;%d)KX@l!ix zs%*$FmAh*EbiITYHu$6RyQi~aR!ShO&EIKu*>EkjRBp-?poy>Rln-` zY1vKT+>+(EBmZa!2j0qhcRfe!IpPw|*4g*^nA4uYpEPnS1AK(YZ%VH1ah!B!|j< zJst@edgTnNY-Fm;vUoz91(Qi}nUSCk&wfK-+baq%xPhp$=hGgX(dNZ%hYuJbL(4bF zx`WhGdDwzmGVgXnU7@e6lXx^)WyX&d4K7M4PLdfz9ytv1l?Bk+l!>w#^`yvEhUPE} z*vS{vNCnqt&-EQu?1_j*ldm%}_N*Z~O-h^kZLysWxo~pi9QI$|PoG2iXVC_oWj=$! z7n=vCC9BFcfH`{Q223@^4B=J5e($97o5N#0`aPDO+ThC-Q5QW#*R@A3j0~}9=IhPv zSw99@PkRU0{iH0rGUDy>+GOdivK7+OTgd}*EF8x{3uIVpL*RYQT*JAyPLst0uHu^Y zF9h6mDPT%%4Eo;FMYT$F`Uq#+b9f1C+@pk=wK zsmx;avN(j>u32!N)VRv$nc}B3h)Ve=8{0Gjw%kBiDn*9HIhWrAhtd$Dq>zHkcLdYh5zg+`d4@V{5C zGM?VWPd*pcIw@_+Vn5f?$7Ll(Y+yEU&0Tf!X&6cau0rY#H*sz|Tz4{9PSw^RPf&iL zA4h9Z6Y3Vbgk}2-FG@sR_dgNIJCU1uP)Qv0?~5y`j&NVDQSH}=vn>{ zmP9TW4;w&!{b)b;3tekl!YkD*^ei`55r@bRL4~{-&aW*=p9#6kIo!}FS^R0O;)&W? zs=|R_HEU#Rsd^5A)hf+dikHB#pA~+0YRXs@PrjkZvbT12YB$R{mus|DB_@e#mgR7@ z=u^jVo0K2@Sx>bHrpwJc68X{$ypt>Q<6!_+Csz(B<%-@gg&Oa@aCF%OxgGsq)QK!y zFaInN?@jW^L7cM3>>`MSW?-QFd!6!llMwY+7TfS{YO~p04pZAt;h(IB#jSSo{WH_{ zP$T{xKW$Mk$SVu_yzQx;!7aJSAWu1+?Wt$ez5Fo8k+Rp%Kn3t9Hy%f2`B@dNz2r1v zk&jv5**nbig`yr@_u+0mEE>02c@Tn7*=m@0FMXH%~{nf?U(!Q3_7Qf$g5 za6x%@eBZX+KEvm`y57$8ECPoomE-xap2FggY(C$<#eRYiqWmQ-Gg@|O06tGIwDILM z09~@~b(HU}KjGP1ouY1F9jvJ{i$heC&fW8Ety$|ja4cyccjP9UaytUNYQB)CQD=6t z{JZkon{|)2wQXXLklw=gJJzFAHV1oLZVgURX@~7U;RyW)EzvE!Ai1gE3pGQcyD?SH zEDOJ2H+V&w`5gd?bn@*8ImjIfL`Bjqd$Ghjxdvru6-(Atdnrm&1x6<-uZD8#ML~@n z7>be>i(U-pDR&4?vI9n;FOYqt7ddWpM_E?0%5~$l?D_7d%yzvri3jVzLG;{SXgM?Y zXcO-5UW`F4H=rH;$mE=VSBS$d>4I(R28_rxupm#lVd^JP;`m;=8Y_sY0IU*L1(5z!oeuUegSEG>56)O2K(W@?wy@yN}d z)?rPyRfw{>1;OMuiN&D0+gvM-#-Mo^2%}w=ztI;zhwu6pylelGchkdhAGJJ*CY?GoI_@M zRW|w#NI}ijdk-B)?w2zgTtTzZc0f_6cRN4=+1b;p9QAwEpob1}Rq2f-)B_zDfm}S| zn?-JdgzQy0CAu-I=5N1q9(l+|3p|f}{L}RDBPW_(g?8r^btK`4ktzpBL9(Iurg?jM zQ#)h_q9A!TI}ii<{1Jo&JaL@S(;R=DV9J(n$Op6z#9qcUbR$TW0yAQyH%;BzTlIj0 zbND`kM?U!m{hUo8h#i=ODze0g^d|gwy{UPjH_p6w8#VhuZwhhm=330fE9AX5i5Bjb zpE8NV-BW|BIs8>Smp+8YvBN_or7QXdUQc%*Sz@4W=_d2XSXICNYCrPN=-~DTy{b`u zB(Fm^$9wL+eWbbPr~aquw?6`T=pYL{xqsBX*Kv@L;=CjV#X{upjFyw)WT#UIk{n66ZJp9TT z@CS)GhCBOWh#{lHV=XTqK zX$>U6c9$KC$Kq7;?@h)ST&VeVT_PsBxk&TQJ$l9nb+C2j(#IpE4GFaF=D^I2nR*Br zQ$`@T25f$r$EObo^X)@}Upk$I>8l}7H2;o-mAU1|4S|FLc4oYj8?vFd55?GYxaaaN z3--&rbQt?(&vFxH@NOCG5=OSeBe&&-Efycl0*)^l4vk*?Yn(%<#ymb0X`DEsm%T1_~*R#V5C%0!{N;eN%?vVG)d-CtC$n6UD@9>aG z^O~ev>2P?-As!yDDRQRz@8-~|^1IqK%%PRPj}Z-}F$1605Lui+9X>3nz;wJMha_B9 z^8GZ4Qb!&@89+z`n2TEypw!`_%9|;CP&I#!_0zsxWWFLix61EZ>vud>q8gl}Pfa4( z&FdunVF9_hhS-0lNy;%KiXG{(d$b|5W6K26nW@)MU-w9JNE8 zZs(~*9scO2geU%!Peu7j0TL_IU@Em|fh zS!JkgHHq)TM4pRF@jg1~kC5E=eZ&^He~f8hbC9QHT?Rwz%2hjZ8Uxuw*4K>OVP;w8 z5PYt=Q^B~J=gfH|9a0CkL(QVhZ)1AM69SZ|c?5$5HNV{e_&r}xD=bJ*v%lw5O-Im= zE-)ZH9a5gyu#e@H$QAfG4uIrTe^-0Qk(?&oNKCUg2nZ!F82@hhT;+GMn;l(VES; zfPx^j<}LXwx2GIRf?Vxjx#)8D&xd(ei@dXd<|0=P&iq^($?4h8Rucy3L-Sf?zW?lr z1?@#v(2W!{i(B4)Y})|0ZKqtcm?Mj?C^01m)KD$GQmW|P22~lMft|H%UNgToO zgz%pz366#_Z)9=n5MD>Rjq#b zi-Mvbz^&xFtIbbvt~bhAXB`GoSy`6Yt^riZ5?SJNM$sL1fJig1Ho%n3T)u>B3{Y$6 z&%(j-%0sBUhS6UmIH5oG2H>6`?3BX{PMP~QP8N3Pu5 zIueksB)@EBx8cx?tOLvzHJ64HeqQa$(iH$mkDV*KPCnlt>lYDngVPXP7+L!o$oVP- z98VEvp1n~NAU;5LksA-goqTJl3TLf!+q#Fw&W2fc-*5!JQ1? zK$5OJJUkRQltDR@#ty(hY8FQhj31z@NT8De+(-T#HFBnH<0v1-hbq6z))jQ9pDZ}t z0ltZ3Z5mYx_J{F9JXr<^Jl~+8@>iDRtHUTE@(U#A?O>X!@~^v48M-=LY@am{BKZcY zi}~m^0Q8W40<(Q?=&NULk!yD1j4I@(gQ;(Gc~h5DqkG8j$4>X;jt~Z!0cge)IqU2L zNR85@JTc*nDhJbHS#fi71XnuhKGHcLXUH!V<22C6Sj<|9^ql>QJ*Y}>th&@A-4$2bAI6x62}1`gNTAT zd1cA0HxP!9=VRLuY-beL!*CDzXIV}Fg2;s<RU5 z6G+d49iU~gWpDhj{HXbM1>g(=9m?-QkU6>#kPYA-^5WOkOZdw9C_4aq$iGUa-~q%+ z);YR5yoZ4_vZ$Id;`UXZ*<3s{j(>E6tme88`L130C`VVSozXSsZCK=f7KQ3{z^9!% zZi?Z2z<<25*!1O7!l*`{Q$LI5zZ>v{Wo@x5mgkkH)Mm@UweO~PZwVwBhPkM6!%ua# z9`DR#A~!%KdE}0zy?JEd45i;1IFIHjjuT_g;{3TiqxyzM<`3s#gTi1F92ZjGS?1Ez z*!hTmXuz|Z+cqUodw_;Hz1uPk=DXqENiCgX(ip~?oPR!oFC0^hmSb6RfR!&uWaYjDOw7u zHa!ImvMyQSwK}2AKKz~W^>0(m|D)mK2o|TY_!x9!l5Y+XHQmJHEvW|EGTL`S2U&O% z!q3_A2e&xznM6T)TU0ke=$1zfn3mLq;wPVissoxO$W*Knq?!cw(mG&7g0|Ht3kn(7 zle7o`N|NUIbl>I`d)5zuBXK$+OH>h{3-q;#8B+v=MMTuv&2BZoL9v^>g7Mo9EUN_5 ztI?Y-V)F6yGSNew#zV0OCX=tOG?T+xMVSO@;g-Wv;(=&}B*fa0bd%NMlzqC@rAeZ; zCG6DzH4tdQpfybUbY?TrJ%aWsn&^X!V|l=P+`VX51~$y@K5pK8EDi!b@MWFYYei1u)KJUd%C+vMic);=ek;Hi^#8Gh2RdA2>1Of(xV@3}wP-wn-@#>hgsI=H;p zBCwgAAySXQ16~-2cPKMj8DGqrq8_RZ(x?>s0vGr2mRnQc)3)E6!A#-P9?ltIZEMRp zl`R$r(XH;nw&e}stluPoznWYqW%Ac$5tI0Yly{uL495<4Hh&)$<*?o04a|)-9aQK% zf^`1gBk-3U4>Fti4H-ngj&JZH_?4f{yKXvgVzFbnh25T*(_s}Zt_U(RyX5AMR{kxE zuG=(?A*RP#f^duS#hN0}m3Sq-`90EeF=2*K_>#GfZI-qpx7p-Z04EH)**FyU_Poo( zSa;wZcIUG#gK!7i&xkq?;hq=U?Y!c;_W! z+Kz3f`*<%e+jQXYW$DA}ZYeq0arQQ(;GEV~4fBCfhxL-USkU2oZXB%z9r7dNn|Dw* zbG0+_ev3h@lrf+?xSN@5!Pu>OaYA!UAKri5zPxsY+@5fuHWQ2g+=@MpNQrfaU7OaK#T*)C>AcN*_Ec z;cfiAhxw78ak!0cb$i*EUirn!kHz^@sttm%ebH;I+wj=d_jSiAKO+T5VMosz-(}eY z(@O^mA{GV#wfDicg$`dHGBVkt6(?7@^gng0}Q#)U~#a3L9Q$dYKjH? z`549ww1B>G*Jumaiz$K1!!q00m}!sK&Y+E9U1?0eTwCn!##IqZvX$0)io~|4y5&Kx z)8urJvZy+Si5L40Fv5N=|5xPrt^aJYfR>l4hdIV9hORaSI@#}|b4;u?Ox(V~bM(WK zItKS#%F8tqGt^qp8WV98Hq;3*V-%RF^SL4S7L-=L7>RCqV0?C2Q+K65pcT7)ci(9# zp6WTFZTeV9nR5?WVOZ8|2y)1@Cy?ybezzbo_H&^;Be0U<@!-b_9hV_q^&0mX!o_{r zO0SV@%z6&=$t_hKq_14mY&?PU_4|e}bj}E~>@8=4>#fDm!j5Z^S?odk+AvAR5@D|y z$Kict*n1E)@8>LQ6!Mm?ukh_^>#%_cMud?TAeijZ`qM5r#fIs}e=vvD`>e1hV&CZ9 zk%;f@z_RonN|j-pI%2m!*GxwYFL!6FI6_Z(?6L!4?-}UVVSRJ50KN*{*}v{Zl+on4 zdniv%xW{i_u2$F%V?jsbwhQL6&ktfjM5&sHb@4TPm^>_!&@~_nDRKqc`V8hUif~;p zMu_W(4U<0aamd!>KDTRgmd&zv55;~zw>`c}MBvwEvd@6c9(G7GKG-suTWO6>TtVDy zY10{T!gKu!K4DAoP6;8luY1WzX#U&xI@Zantv4=noGaLwS@#$Y)_GN{RqAa?&WA5i_*O^X3XBU8FB8+Mj2kH;O}J>4*9Sd9)w zMlf~sw|11b9kV@5$wH(&!M#lvznwm9+v2Z0SKUfAEh&I^Yd z|BMUpa=cx4?pt_VGiRk=X!oq?7rM>L^_9V)*zN`DM*Kd!;41ZZfomHifcpGbBk;U&|mE5!maOZkWD2RM_fxV zC1aJHRX5m5xDR(*b=IX%;HO;9Y6w-%9-qh8%(+coNfrm3DEq!Vbwcv zB0e?{3_;Jna(RV};&usA>1C4zr~S{NVG#4q&uI@gH;^2w3r^pzW81d{chq#72D)Y= zdY5W}EgJxc&-$(Zz;n|sYRO4DPPpGz1TrUb28?A-!yH2*G+Xj4OB~fTTkkh>4?_pB z%7GGq+r14d;GeCuYTp3>XAeT>)B7II?dd&PSg|RIBkHc-2;83A2vfzn?UXR7SW5vT zrn0q7it$;%i1x~zyZ;{inMi`_Ljnoq8dn^fA?LYvhsnpc8!>FOA5VmQiz}BO#MI1F zBA}|7x`6z19PixJE&ts6e6vKcuh{QlfsYSgjCbMVle*n=tfggzVbR~7Q@SYM>)gB*hO1G#clQc0hKyvh!sl z?3irneEjfyZ0Z8B%Z}BoHAGT!Q(Ew8Vo@Py@-gMkA@0-s6j~F-qg~?^$;)%KOpzZ_t z^47fOm{;zeb=J9fgf^vX5- zC(~Y5Jkg_RRj(MlnC1x@k0-i?F2<`epPx5sC>hB9l-tk*JZuk&aipREQK=1FH)7e5Ll!wwhj z(ubdFdc@1_cKbVf zF=$!bCW|oEL6c96vt_rRn>FjPwjP@F=d052_jvu_r#K8Y!17_$KRs^=2Jqz?y_UW2 zgi(I8xo3r4gnfUuf6BS|{tV?aJg_GKuulnQJ1&jZ)qn@PsjZlp1M**SaFuO`H_y=Z zdGiX+xnbhI#@21}35Wq-_3pIWPZrJO5+NlI&(g=8TWyz4lUjVNGiRX{VW!3LaP_+T8vU`;63tCD*z8b5hp^&2?)-O=>eC4v1 zv=&DuTlRob=FZss`5o$z)!d^Hps|>YTq&tGBw~hz+zR*nOjwt!A5KedID^5aZv^tQ zMBzV>(TyfQ8~T>eje~_hJINP1xtdH=C+3C~S4Y&`Dgy>F9zDznGmJru7V>H3*RY76 z%JNURI$-ZN*r}iGY=|Ju8OQdr;+rcZ%VuJ|AT`dkiipZ}6&Ays_T1R_obCtZVy)@n z&@`2JzyR9pq-;msQ9XAC4810X1OD*!qxsR+Rw*-&esitR_B6x(ihvbPP_ zU@CuxG006E_O@Aq0;b#BCK0~PmnCE+o8#O5EG?Pq+`NB>ZP3J3Lld;!6gX3NJldiO z>uRXQuLyhSx(dC4Gm9GoF~W`Eir)o5h=H_N?uRt#lAqcNXJAa*3Jb+ceq&WbuA%-J z#7Falmi0XsS#j6(afa3HIvUOVLhPmo1yz&7{4x%IKmK91X(i1Gs@;4zEJ>AF!XCbF z)NpQ0-rvlO7ay9~Pd47lA0x`&d_JA0hvlsJEc6BpZC5KEFv|KW*X-x{{Q0}==NYa= zTOy4@pGt$>yqmYg)H#zs$lA~pP@|o@zFNQctGpQmY#7U`k2sXpOAP-r?0)z)c)~Po z4lu}%J7d7k>ULF|yD+3q$KlxR{RuaUZ3hNyj8JyNHM*13G?0EX$FMG=y1(DtVTL>O zg~_%eqvpBxM8h4@!fweA40xD=uLtOwrh9NrY%zSTE;H8WVyc{F5b~+T+gI3xJLMfM zVR37?5rX}?LbWr4)howQX4-h^`?*TF{k|hopg#QF*BRj-?d)J^(Uvhd*CeYPh+YDd`;pPnjhj|Iy34SP6cbwtuNc#lExY|=O!o!dpXaqxv9NGq z8cJj!!wEg2X3!n;?p&SsGYzUwwRv-{Stf@8uv_&*lGUwmAJCg$0xo&i=}S0{ zY!|j&Bd!9D{IS`)r+KI_x#m#lerd3&qec276}3 zdTiz#Ll<)fESsOxgJNQKBUg#5Rvcq-;Omp(cFpSH>-O>Wm-Fic7{St&595&H^ff6H z0UDAyjjto8E5Mr5*gV^Zi_e6UgAfel>|@d98SL`a9mB=s9$Hf4@5|45He6tqce^ z8A9B;MESyj>#MgmB`I@O?Pi*j5I27r?q>h3%YUa)d>n z0Fwa={rBqxJI5C)G0o^)Ke0aHVu5+(m2VU<_V8&&=Ja%3o)XT6%Y@O_?RCw>>39;u zOuh2r;4;j{1UUwe*$wB83HA%Ve865epFlZ`!k+`CYWvlEE_$rl-6MyrOce{ff5x2o)N&6rlzJp-x^ePO~x>POLK zVsnh0&DaSW>Gv`iL4EB(+2BWL>DMwGB5JmY2`eT0u-co-@dJFp<~K{k1`HSnrlDi6 z%WMLaNr+pAo--|=pAO_=@=Br4vwjdOD;qGyZ|GPWf`>JOscs_cfUgx;J6^eacuAf7 zeI+uJS#Qm4C7QLyd41c{wf%jr>REFFvO_Ha$Jvo^U-k zs~EiO*A+bhnEY0T3B05qf1C9}%TWpw_{mbPUOHh?L~(HFF0) z3Ah}30ejf*>@ctNE$wP7A~t3L~yp)VN1X(CR2rH@bg zHOEd)U@^mtWbIn9iJ8S>T7m!?6CbVYYV6Zry~TbfXN#G!Mn z+A(bc+{wnegzYw7!JmI<-L%sCb5l!glLM7$ zIM)gDqk}|>Jw8fo7j=hx&kWO2B69)hCPvRrR(6EN-nRG&<6}z?uQ*a#M|?36Hpkm^ zzWDlB&1azE>|8Z1#VJ3kNiFK>5BoPQi#LyJ<>1fLLOiK!OoX$$b+B1g=JwI=A`v5% zu&?*vef<=+^ffMRD9l>D+RdtBFIy>i^_4~-jZIo{Z>Q{N+rh8@ZVs%s85|}8-K#@< ztiyK@oUcl`h0DSwJ&dfy)gUW=k5HW--ap;LGOU~S%3BozP^Q}cO2?HK3&WZ)KiBzf1HF`M z38Gy6_hCH?2=V$hOF)QsSOX_A8Jy?apTGdHKi#HZR2qjP2mt)>W(o)Z$e%ZTT2h~S zb=L_%@@GbxFpSr)BJbW806M$5J?+NEa`E!H=S^lL7{s4CxG#0m`_AG9sbde@GB+{f3 zAcVntTbQV9)`DDsON6CzoWM)_Xe{=wF@5TB_cbFwhZ{dboPL^VfyPE}exqeeWuNte z@a^##&P+pSOqluIJ!q0UO3fHIVdJL}s8HPQTHNf0d9J&{nhK57RT>kEpRXHVeL1ra zd)X88*vV@4Sdq+fHv4`e{?Mdx@j)h^z-ZNFH929)ITU*iQJ&p7TihKmKjgKUYo{?I zKHmy49yx!2a=?+$HeA3l5UxEFSLg}0e3|`!fBNhwp{pIM&G38x@kzk{l{BVtefWk- znc#@pj=Zqj>l4W&_&a?3<69kr1W2)+90+Qb>5o0U)RSaPiAEpx^G{B0AcaxS)JjGn_oxUdMBI1_`@ z1gP8%-E3EHTi7;{H6Sx=7pZdvI-H|H?x?^UMj3=C~C4wjK_T6LS2^E7uzqVTG@&{SC?^SzKQ+ zjC2p54rjBuGv;uf8waw^;pChiS~iVrAdUask{xZr$5g%rYd8algJ>swOjMXmlY^5f z9Yx?|%2Vm|SRHNMA7{n++Rh&EDmio$eGF!T^|>&oW$)lrGi42KC6CvzZiHJY^p<7v zbhI(YixGM_2nAyC44=nNQE(!;mQyGP0D#L3yg*yzi@UaE1Y`w#o*xljAdWu^W1Gmc z;k%SA1aJ#&H!xc3>Wa|G#qu5gwr%N#*T)-Y3j^FdjPPUMV9$GC2b*?Io5GJVEe$*i zx5XQd7e5`@aE7O4*+z2A9spO1M?c!?Z4h|MRvXK(z-6PD7#g4%Qzsag%coNzz?SY> zQwLx-Yx~nBK(Xu~7F!iyN24u@!v<(*Kls@)1Guw$XgB2(=^0Eco^>8w)$M{i$oOFa zXD-{-2`gWSwkFJSpFen>5-~}2vouU)YK(*BIZNMSZENgh_MJ{GmvzP(R|7(09SQhy z0DA0gbtUBY1e&>g*8B-0AlK_+oAPOy+IE6|xjO*a#8|Ek9W>94q-4br3!e-eupzFi zoF4Gsc~seEY5M}=t+f8!fI+KUFA-YL;`?%s%HYozvuOPSXupSSP#&>7^YxN`a2nK_ ztGk^s3~CMW*yJ&CFSlK$Yx( z09yzEcjoZ2O$_K}-|#tFPXyx`24xyqu^*4@?WYDT*7isMl)s(goEyVt=L^7*iIk%e z>fm_uxbOR|%>n@VR((Ar4|XHtdLpLN0-qM(#_o5=P+vxL+|t7-+QKCFmlcRyJ$()> zK#xBh&U#9B@U6Ks7NEwy_wwO+;e^ZNn{%%4_7m>PY4^Ja9$(1rZ{ZDDR&Rs=b9LMH zGi_E_+^lYWy8e$-)N-pW<}<|;s_1|?p4hUii$;$K(qeay%%iqIIb6*BU_s@td~JmG z=IPuzHqh3?xHHFsEMS7&oyMCz%*)lO<(ObcHJ$SIh*~nW zV8KM}xW)!?yARiVLJNpteh?FyA8PsHs{$NrGLk!_`pO2PfQqc8XokaYM$l z>`iCJ>fY?}v;17T`E%fyY1lwe1(pYQQ(2>{n~p4Oc9jtGsM0OQt&tz6qL?C;I(!$DeM&J1~f zo|&f6WH)kIpR^TwhE=THwUS-dW49aDtRD0$rWP+GoTg%1C`m>Co*h4j~A=qrXZ>x60%G$^R>F{^NS_Xx-E}V^bABS;2 zeA>*^J&lzedgJC`$@HiTQ0k}+$N2sL0am?z-Q1i{+u2|r@?Na6!x_Zp?{mYD?EaIZ zlwPsi?aN+w0>5lA9}7_KN4%9{KxD@G7}ZZ8hyBIdxZc zB#0Y$R?Rs87kHJ!GsA~HLSxwWVw4_S;jNY34IJJ{0JuNv8*z5wTkWbF>=0UMoi>{5 zdM2!V;9PaMgT5|%vr(0oZ?0EI&H4d$fjXILij79Nq}=jsr3pFtvP7L882ySkK1SSG zGkJLYQFVF8q31Cfi5={uV2H5=sNHwyU&wmMkI#7ytXo>-fETM@;?4zxS4lsgoW^zm z#g&rDt$AipS-jFJzNYx$(JrJl08pyqI0y6tuv1@_riD~@uFTo5Z6uDnWkiwtTYiB_ za#)V(YlcZW9}~d>2+6zE#+ETldQTjaFZ7+2?P0Po?a)9-sqWobe*DK9nQr#g1q@P8 z>IOhag4r6zJ+U&H_ zR*N_r8_$+b?;DUvrdQM2xt3=N@?+IP`n>JjYxewp694jA4(xHv?<>1bd)Uw&1`C_1 z>)qvcI)5O0o+F}c%~_;)a0A1#?0MVuN*lE23p(yDf86rRLh$!@EL$fS^tj8db3wTe zA7A&Y^Zt}7aDfQnTms4ilkh9oNDFOC+`b8AY|MZ-&|MInkIy?{czck{72Y03 zH2V&Q6??wr7YX#z!U5=*gW~vWAjPQr?=r*lXyXsuf$qjO<$v3`kbBgz%2ba-rmnP| z)8FIf7q|nxa%_4HkSD(*kZS8&6p>AjlZ$nS1@5_rH*guGj|MJ-lrVGcfD#?{YTFTR z+WGYHxGtW8Ky~negI}?DWT1f?*LG-;=L0oS01Sg`3mG#eW- zdprR!v5p)uCJsBAEIy7IUmzajX2T(Hy;NoL?itoXe#Wcwn)_yfmVqwa$MmE<9mYLv z!v;o=GvBl#P3tLTJA3IMyd`UIk5n=P*8+=S?WR2NAYtgiG(xs$@<0=& zoy=0;x#^q_uj>r9s_wu9O*`3wQ6dav_B-f?+=^u)5Z<3zYJv4IY04x$9G@y|HrnTl zi&>Tk&v{CCL--9W{Ck~ie(!caSSi}a1F>L+O`8u`Cc4i}`?*|Sk`1CG!L19d5nS^O zq_8aY9rr5xkY;ubD==>W?)m%hu)9(LYStmgF)iLd;FaJ`X7dYX*zQ^Y<;%EXZ>wK` zbTxT~0jg3CFQD0g7xLtl{b_Ho(|!ot1-q=nPEE;xVb;5vUE4x6Hx$9LGB%>nmtR%~l6XY^jFd8TO@*g$Hs%7hZt1^;7VW`L2FS zwI#lDW(vw97>gEr*E8R}FR;!2j5wB=vEw+8-Yq@ICYBv3fju4WfVbOcsA$^`Mlkle zL*5KA#-ovno8ewqg}3h<#<9%Y>)r~Rwg9s>Cj{llepiL#)XKfBk7LiI z8LWWVL$?uHFkGmyv>O1lO+3_xD;aG!tjdSg$C|RA(vk^u!>rsAMcXzC3#Yo9d?5Uj z1-r+79K-39jT@Hc?(9ZZLBL+x{gxXX7LGk&gD!`K#SHDI_8Wx2`*(yqvpegFXpL&` zZ{ZX%ANGFkO7QUcb}f+Bp4NlYo)s$+xjY>;*M5!6ByHrP5G?_4Q& zo_q?UJU49dwY#a(|Q6#@6*<>v1QM{k)&>>pb@I9eB&l%It{NE!JB*B91D@ zsGWA6uXt!8#OZR(;<)3J=2&l@oP>MB;Qyt**pC|zT-DuR|M1;|{nfTw3SEy$Fqtp{?+lpP+zMy!dKZLl!)oy6 z=}tInS#7}swhw_zaJs z(Kv0R>g5=i_EFyjp{8!0Er;}OfXRF6IIIp_F8XHi+qZCwG?Rdmsk-lJ(Pn6Mimm%} z99He{xPeCZ057ZT38xMlcXEE*4Xk-_mjc@w9=yYc_s49vks)o)Payy>eRB}lWNyzj z7Mj6r1F0Ul2TUAcf}Q+1AZOFQv*l280+eQQ9NEmM{hr|;?x2&ehk4>V)NimDr%~1D z0EGFgn;6_K#;LZA|Y5tx2ogNHSJ45xxIo7D!U-<1)6eudg* zL((WkK6Bu1=66ru71Q7SV*GSp?6xVQ2IcQzCfIF;hHnJu+fvcdgSh!E%$mt%ngh*f zIGv*V9T#*a3Tua z?RF;4fGL^6VY%;o7PEaYJuoCS?l>uwZUeOM00nCvK>9uwZB^+{d~Gw9ZJ_qU&1u5{ zuzfRrc!2!wPoQ?TzhR{$nHxxb4=O?ZkUj6q#=H&vK0R8z*abgz#VO19x>*4OQ|(@Z zOV3ul9**%jD27SQS`U#fXiNX}%7f|C-R)@?oO}G(>%u2y-3>sy#}3-qXGT1C*o?T~ zAT?Vx0cvkfKW7!dfxV zl~>@<{Y1yM&N$T=3&REuy#`pwZn#Kv9~?Q8_U__W*kGzDpTBT}6TGK!;#gS#?yamH zsI_%M<~$sW_gB}%CkM)Ik@?74x+B*|d#s<*k!F#0lY5h_KSVS2LN`txTD&Z{$T*Q<A>DW>gl*!Tbn z*!>+g{>DCGF0i*~Vt)r8t!@_ za)6!Bk@d=N$98u@TV;0W99(GU3Adb)b8WbGxlu1$JEmiI9k;YW+0ol)p;>@y`PN`N z^LlDZE4$$lby@`LZOhX~n6y!k?FAJ7{0`DX8-wtWsPS?ix^YWR$S=J8XYZi6f7+q{Y!`oS$ zCXnx50gSS4wbWtG(a`z8aIOst1lntbdE89E?;m&VZvWZz127a>>Dy0QJkc)f{%&1q z{N1hH22tJa{d5HDhWFFiqS}_RaQlbLrWDhW9d1cGKh*9n(z=dZTU|>ApbqW%DQ4%pYdd+wf+d&k?rw4Y^~# zg6_OJoMfBa?pnwfmL53?r`4xK-&t$n!F09H&VBnH8MqVfl3ceNxzXHsXb;1k$zaA| z*2x`Vbr!O+cYp-Bi0`^Hwe{XD=h5A}1?{OpBTU}u*YLML?01hRxIYI+jjhm|C_qmh zu;J`1U#!E1vomdL=Ibn;Vq%&ze3>J4%J@L+)}`YHLfETjBxSJ`!&0WDQ-m?hb2M$r>n5iQ`P)@@ ztON? z#=n7G<3w-u+|DlLlj3gQ7HPk?>md%K+xt2w*hwb{8~N)g;Z(PW&kfV(41mAF!}YAH zAe!@mXMKDe>iV$eXZuNvhE)WIxawfthTstQAeiFwPKAgwv`xXhlziJUariK=laJpt zESrxn*Z&L`vO%5iwO{=G{KY{8wMX!XyT0xA5;+8Dc!rmfb{L*>k5OWuR9-dq+3FU3 zxFJ1As8jAYPKWY{gO+X2@H_g_Y>ll>HfRA(+oC}{w!l_H_#Lfr!{!y-j{A$h+U92D zsIi6r^vK@8x^^?rRacGSWsD=S)uoTbboh!9{Z1VYUdI}7w!E-IDYVt>^x*flP3T1U zo`unDb3sNzQmZ@^flqOV53)N!k~MW)j={>?M?`%-l&5=^3?Q-Ll3X>7qp@Q~@%1N? z0P;gjcj(%J1&^dpFOIU=xI8u+(jfZxLBv5eJxIvq(EtCMJ>_V5NKW%fia2d+*(6~l3H9#66Q5bS=QX9pN* zLo845)!VP71_H+lD=lTIJ@8}(%K?9O02-E+6Y(+bn>+AgI$y_R**gF_e7Xk7+qB28 zM`BfLC{wCdu7R&OVmY^F*BMAsC~yayNe&-aEX`4`ZCW!g8I37u2OiCUo0%AUce9$d z497iiQF`D{<RRJrmw_s(qx&_j~awnbZf;0!ic{~X?lr5`T_w*g6 zsvU&(l;yT%tIfD)!$SGuDjs`&M7$g;J4Wyk4*q;`73|j$s6a3M`jI$%<`V|hWyMXW zYp?vq!La4ua7KQ;`dCxvNb~MIhJxZMz?a`7RUCcmn(*!E)go-%x_L#&nsq8nBEJ7O z>!=mTPV>X+< z2jf2O95hSQd9E(P;dU-z`Lc!{KQM+kBEZ;c@*Zw?nv=)RRE^)y*AIsh9E(Kq9b=eW zgHPOs1N@5nv;QCX6{$QL0O}wVi3c6ixX+D6vcQmo+yGoFTesIa8x^U64`P#?s?2&B z!AbFUKEC1rI!&~=r^@^-r`)8=Y&n9H_C4Yq1Sgemt3HTE@;#?m(*S?+s4E++rLItI ztujcpPTBeyG+iF+%&wR@LBlC4{L?nn%ZfB6c6dG@^>VT-8_Nih@dK!Ra|?-K(<@~U zFXl8XD|Do4RlVDvr6xFtka4G`6&^V?{UdR=bMweS_=~&Q_))f}ac!&#aKPckw{AaA zq6{<9Rb%^xCt@b~5zb6T^;3>Vi&XX@P2QD&h*NKxt_GdrAUNecZC(B8AQr`kzI`GD zpD-faVzdvUOFW=pS^=d7a;2HrA`P*9Qj0!uV33W0Y5={@k$ozMm^T$(^Yz6VpIV>9 ze|2hgMnL=GwMH`C<8n{l*kf#IoM`sux{}HESOx_yKGv>Q0#Re5r?wQ}bSzATZ#q_w z<{UYdozQ#(SuAP=`>8EH2vg~fldwMN8Qgr}FL#)iE$HxuJfZGapqCoafHL$dNZc_Au-7Ij*(9N}Dq@Bii^02b(b|rP{ za{Z#SB`cy8ZB2%F(!(p6f)CQ``g(5FSn{GB^jq9m%)ws2B@O&;pF{G1-mRt{*|Fw4 z_BHknyS{Zm{05u?HV`!+rnb!@+`Xlqs)x)3^+Kx<&F2bG01H zBh2Nr^8O&^GF=S`I;w}4*z(x=2a~iLdXPUJ{@mhdU}`Iz=bdMZ-t2w-+94Ys2y$xP zKm6=qR>xxuc;CRabR4X^)pd;QggWLNXH{8NQ1vf+^YG>J;mtGn&MG_V8ogb-5fvOE zGgj(ht1US1PD%YRF9nb-WAKwZ5QQzl&hG?irX@8n$2u_3Is$es=YO+Z5kz;LsY}h8 zc;G7cOtm(-;2Wnt$r>(Cc4+bY2jq6OJ8s^7-w}Gqak7K__;6GLq;Ib`0Lg)8ynkD^ zaoIUu#VWJoI}R^>U!b^EZeQONr_d>3hA>SF>~%iwIL0r(!)9Yogz?$bhoifH8zac+ zysxac;rEUV;JiH;?ah32EPn}y^)PWp-UaK6UYSQDO3#_L4@lSg_$=`UKI+mwi_hsE zuk9eH11~gPB9{LAm|NM?e%R>^Ze{N*Qz^if=0RQ4#CH46%0o2Ux6ObHjRUvy;q&(q zUmZ}PrOMBbD&C5k!88=|j_hpKlJ!9dt)o^CE8k-kUy;~|$~WlCrZW#g#9k5pZ(itT zwCwLXYu{mClZ*{gBrNe!VY8?Q`=__%#JQ9kL_al7F%(!ZSbCT5FDnWb^!P znWWjaZlW7VsZ4|JjHet+ZhJs?7MWaz$ty3rpgXg;JDjnLT?mJ{jc3rEO%JTIpUZXM zY|6pi21D8_X5Z?8kNY?b24by2fkd(0eB9Qs8nB4XcU5=Am<92G`mCjfG)IDQVKQnn zN6=Vd&ErD~0CdMZ=Ka$fL3QRHG<#JGxSdz4=U+w)+u^!GA+wVX?R+*W7*&rHvBpYx* zKF&31C9DWZG1J=t$(WmmKy3eJhCHAhb4#|Bzl-x4m@+oDMAw;o z`~+&n@0(Dru{0ohxC`+6?Ta9@DK@?Yytc7{dn^!RR=snRlA3)E32q`Tg3q6@wBvSg zk-0O?rpXkgYd)D$2d)N&)qlpgq_CJ6FR+1vG!DidX9V7Pe zxCdfe57rndAnsVgh9q(RRc38JfDV)|?B!Ux26|?#;!{*|AP17ty=L$k80F1D@&->m zIw=RIN3m|2*LgQ7?~kqI07~Hgaa*vLDNHn3m>tQm1C9lt+;0X$6E8WEElmiN_GDV7 z`2rlUK2D1R?|<{-nym!p|4(h*CsKvkOte^M`aZ%h{ zYVl_I!12BLGg2PcKi1K$6zBNUUz4OCqw--s9+A^Q^i43mN@$byp&eDkr5 zo1$&u#5N{uo40Ubx1!oqf&<=>{x%tr4E>bv3<-yPc@B?6RzkbE#%!5}OTIa*)oRpk zRt8(75o27;2xN|>R}LQT>hikzmaM%kCNtlLwZO4XR(!B<7$o(;Enkiga(kfH;HR?Y z1Qi1J(`~akSqVYu z^M}dFYBSF@&RB6P4vSpk;mdcXE)K)hE=3&W9zJc`0=8w-`)F~_zU&9oFU{T0gL~l% z_FwuC`%+$*)ExEHI45>c!EgRN0yDMw^Cj3|S0Wj=+rVtdIolU0V9!1&`1+Wy-%kiu z_zCEnIav>4j@^3C8FlG25%j>*?bW=aOU z|8C~0CdTWyQo{KkxF}l@&Q)ej=Rydx^_;=~&nZr(XRm@el-egPQ5LZ5f#+6uxtY`K zqr=rtg~FC)%UkaT3(6khRV&5i?rP&5KNeu@d>M^51c11)a-JowFn_^0?Vhcgy}pG{ zu-a?`7QmDCuzK&(6Tl_P^M1;0au8G6Fai0a$2r%Ruelr;u)1vB;CxLICoX@Rq!3ze+~@b&j(dxo$7!)zS5`jZ9Zc%BIu!K`jK z5sR&<7H!PwLNTZjjOFBAOC0k^Z7?9|Mrjn z_22*TfBO6X__u%g5C8XH%JW4uq}!s03nLsm29bZSM7EdXVhzqcGiKsSP)kg&W{tFyW-h^n zf_b#>EBdAL#^Q|&#qn*EWp?)i zS{^{i%{!tkmUxq})hJ;^E_YTEM113}6S#1BlV^(yE7xg zZQO6O+_|%TKrJWD8UAf|Kzw-nCFScrBF#tcF&chl_^7`{%t++v4c(W=o^{%nu%BWi zqAm8}5D?~*hT?GulO>CNFZ6(m_NVd!&QFYCT#Hv`Sdv)AC@HfLNCx`1py96;OZdo_C8Q-#kj%jg-nbFx7;>`;= z^W-aMmPCk4#E;&IW6m;1cKVz4MireP-cnslDE(8pf%WS{)0877z3m>4??>JE@uBw(Lo6X{%fUvjcoAQn->5CBNc)^4GQ`8}3760XGqq&qT8}O926|@hZ*>-zx0cmC4B<-+3|E z>{S!91LT&MEJQ82v1$!oSb>%-@rsi&4!rWtQ6`W>|9m(`EloCK*eY9f0?$_YjuR%w z;Uf%wOh-Zb9oNwt7w**bCt!xJSEIp|JIt-C#^W25xfmhW3+kgBG3uK`$kKIiz3>M{ zVpW8E6C>`z3yWd252?1^D~J*PG(cP^-VQU#;X=Jp1dSIir$J}EO8=sEAl|nYFX4LB zD@&;Hj>Cm+82H~e1r}1TU5MXwkdpH@t;QFNdWS~AK>-uD$3l1|o16YSXPado|NJw! z5SxyFbJ)2Z+{ZNlDLOm~mQVB*py0+z!-O}I$^lDu`ye&A5P0$Ja=n>&`BJ(&?C4%NUzadE}=27(z6CVF!jUn?K-TI^T)e69~a`_Ik~Eg zRW44P@@5FO>uP|B(x! z0dNbkl<%FB%U%JaHkZza3grynQ0K0Mj2iXBVB^Ac&Dpos`8W`)cmWZzZf`{5cB+?D zQ7lpWPSYL6?}#)Qyl{!PI60?-4AO;7oA5)@%lAr+?f7ttBQ;0Oo2ljINQ#VQY-d+3 zFQQ)tdA19-z7IQs3lWjM*){F*#IwkjtW^+a-b0X9eOv@37*+K4=BRD_m zcku;_3Mirw2?8IS6!Y$!oMj+Q>(zQ^!TQ{zxNwue$Ay;T zC2@h%AU?-xu}LlNFvu6)xX4s486e<2dGUpdsHC9}!rfZ4oVkP{=k(8zH;r-+bD-eL z$x&ACg%Rnlsm{ak6A9p0DWl2#d_TBy7cMT~9vkW;L$7SXpeujG*fo5UfLDj-doHhV z+c*N-zah-LZeHXQTkR5S2Ly9c2|(cG2OfFlt764aJZ{jRoTK}49j#hiifN-wUyzZrW4e8;Rs3exU{R8rACkX)7)-I^AzAx~Ga3Y*UF3VPzOT`yfWP1ZKUD6Z;p7XsIbk~T<5*_>^NAAR>ySN>%UCW4Z_$nm>*jW{frJRT>b$754_QpyNaF&w@}yb8((N;Q zQi(+-BUkqphkmqNj@%MsSbW_-Z3xCgzA?CqItv%Wl=j2c$N=C#&ns*o6MA}iKRCBoC3JO z@9{mcZsuM#YVAxt_g?Tk$@hs}g8GFU#<|85wxL)k%eOxlqsn8yEt7XiZNfCqhwbv& zxh8Li&*|w`Q?m;#7w{fR{XD<;!n4CFfhN2ct{L9CrIbrALpw%6e)J&N^GEt^!{mj* zh>5T{pzkDvk;ftGG%_#?A3YlGjR>{G;2e&o7JJ$xZ%jQ-1%7fNpMZb|GzWrCcwU-#>!#qxyyL zlv;d0F6+)-Iq#8W=B)fccVrvA zRqur`vsnNzF08~32Kl20wNH-NpY`o;1+hQAW_HRqFEHm4qJKWWI^^rzjvKbD!j_zd zYNpreRS6x+$q9{spyB5>zVuyt-0a4$Uh6e*P@H#|cnK>kDE^KbeNBa~)Ot7a!iHmM za%U9leGxc5eGo3x(~5`~AWu=i@edNs{^1zk3q9uzg?wWU8$W1oH}f{@*+=5mfIR<1 zT-jBR3;V8)EMVLi+rd{{PNDU%8Dj;73oALcAMK_O!*>}8MmWA?UaBgtL|+(BU+k-S zsZO{CBakQ04g~V}IgH)EZss?NfVs@{MZv4>@l|}~T4BfTen$Y9hRcCA@g=-Q^q!Zv zJs-s2dTmiV`D^ZL*z<1Kfx}(?{dYnpK%8N*@PWS9HT3x_!`et=egS!A%lbn-Od)?) z*m~+uEv_XlpVZf2$o9vS4taqq4&nm zCv3n}v@E>G-GXf0jLg2A_3*ETam9-mIq?E6?7;PL88D_xel!zTq=4}`+CqUp+^>uZ z)4tHdDy+x?Lpw=9L{B;CldZdl`Zs%Lz3(nm+1q!j;Q9xLEl;~#iV)`G+~;v2_DFvx zLi9!+-zSXWzBpOv&d1=13nTe>3Y@&`>tP4H((T;f2B6L>^)Kau#f1^Zm9_n$d+6g= z2lJ%o0pZN;H%Sh^V85QD&hgl54e(9r%Lzi6#$e z-J)#Wbj!E4(7*fR&jg-`2lIk>qU2{Q@E3D2=>EWQ$Is%L1b=ayBUrC~Bg4HzuLGGw z&6qJy`e?mJB)V_-a3DJrbg@>5tVmY5(mloN-L89NcpTNASgyIyO;-A4pY@|0Vv+da z2ag_b5r6zJkb98r@)gsM{?XqvCNeE*1s>k+4n$tK91Gj!n`e>(yn8;Gd(=RXQ94I- z=U%xB5WCG6vWcd~kx2EU1^JdHv zYQg3cGtxS7#e!cmQh2i`K(*>;GcRI>vxJM-nCq@K?3#Hkcq|iaMLmDvcexKN6w6#S z1~*%}9J95(meh?}eMCl&csV74DTNly^{aQ$0eyGT9-3`1ivvN6@K}N}1;?K=R$r#s}Js?&cx` z7ejL46u{*9EvXb+UM_xHR^hJgouBRmB_+-M1%Pt5+j>V_9(aOr3ozyGW#-0b>8LzV zz}y)119aQkS)c3bu9VBQm&ApLfj|C4xh^#8yZT(~l5J!4sd3D)30{H5cB_sxq#Cx` zCjv`ou?Jb-R)DQJ%n2&0hK%+@JMZX0u}LFZ1q)U(b5>)ZDBto|K|$dgE_K~Y+&4&?cYs*N^+Xmq zN*+ZOCsk+i;pZ^EiTVX%7io@rZd>C?Udekp!3u`r96&0x%Jd+a#A5NoA zAvD<7O9D^uU&Z0G=7F#yp*)Q(^&^$=uet*lY4p#yutG~_t@p`}iHfr*2g-0c41$Am z$TBRr5t6SsHw#fba+BD3&s@I57%Jy-anqnzK|kSHb!@iR9`H<_UMmtU_({mthiZ8g zB3GW50W#SHB&}enaQo0xQCKys385(R zHHgsg_(fI(RPia!4p&Av52=P#z^Gj-=f?$%+AUO@@@0-O@m+anK;*_y`z4@{=C^vG zKCD-3*)#vju}o~vaU7(%{81-=F9g_&?z3u8Y+p$VtMzUcj-=w;!O_{_6fEPOaD3of z5()Q1_#Mm(cE19UImuRDjo`ygp={dt&Y0{yq*wQ7LADK+Y}eKNk;WLmJL_>CcSVZm zw+h6z+Zn5uG9#^mzvhNQ#1lIrt~ty5h)}ET<7EaH3Aei1h181j&VB9~qvA|&7h3L( z>v!`Zdckns^m+M68=L+rnXd0m4lPjM@STI7b=`(@A%R)Izma#}y7*f*e5pmS0tY^l z9k=!fMe(m5hBIHNk+H&qC%mKH#cVoyf^r!B*~i(r z2>s4Fot3%vaUp0!iTSGr8xOh)D+DYjG$u8QVI*tYe~)11<8r^m?~@m?9V9f7oY;kx68KN85Z?KcE{>xv62420Z@$Bj5y-WeCD(+2OrnbxUI+15+D zH~fjP`^H;wi1qcE6(8Q6$4AbMN2BUEMzn)taf~>WJ^p(v&d258+k8kSWD_e8RfSFpIWbmpnB21O_*A3^qs zl~%xURU=o=VE<`fq+1=A1C}e^$NaK=I=sux%pdH0*^KN4z~Wtz=e#z)mzk#TW+!+P&u*iCodU884kh@okW!5li zHm)TT+Kp2zOupqZZEk;LIUcBTJDAs1K&(cc5o1CF;wwiml$nU@jDwc1i7-oXCuZ0} zMSdO1lx84xeLBoI?R(GNh*j=pC*Wwb)m)-=}R9FDUU&&BY=haVQfXtHe%RsK- zC!#(wXP_m#4zp#~cZF3f6mfR^ye7%vMXvD6`3*blQ>^5S;Gg9sd^Bl?B_RD!GW}Md z^CNevUx?+G`7a5_y5D7cqh_!0WYV z)cj$8@Ax48!Hmgw^OUVe+I2E2K|SDr@WGBId|~Su)vk5d6@%>=OW85&Yn1 zx8_g8lp~U$TKoe?^QIg-N0b?$8lMjf48`miiX|wmDfS?H=Qg}*l)wD`II>rlFWUmA z54g1W08JC?BmdzW+Wij2FZ3G;&$$8mt=JCPh|l@ut!f`sh#l2~sI10?`ek$TD@}l< zb%mXOdPU&O%4;@aGG@{iz{7QN-;C=};Sd`>q})7Y@fd#iWEI8?*ayXZv$#?|aWbN! zfar{t;AIuT8QBZ?UI<@?6wpvtKpJDcIH8vNxIH(Qu($JElcG-raOI_7xVnRK(kCmTRHE-EFSHmy zhjJ|7$K@D-zO8TLopi;*nu$zZuK&1PFSh{YJIdMFaAdg0h6_3(UtF=?lmkQ8{db(D zKL<@kx-K_z@|Cp&7?ffS7JPnx3wrVO-Y-O+MIKJz8fnSnQ_VM$#sdh$To>WTLR5^K zxu)L{!@N=) z^YH@Wh~ftWIBXJWNCmrBiJ&~cBaqbGu=hn$Gi0)Y<0}+ozatKEzEi>rl#sZud@XTQ zZub|+@0}S(t>GVhM)XN^)r{PYe)hJkT`88Q!qwy|5tT(F`*N@iKjDf%np@#_zKti>!b2rOI&vm{<0Q6nz2mL;)M~`MILl5X;wb@TD%a?KwJRfhx3CkU)g5pA{?71qIVk?l0=Th^$_e> zj&b42aGW|XIB6;vtyZ442nLG4C-%))YDz`Ms+|^-6Ly8}{T&AcpAIL09E0nC1p|%T z`|DDox;$_62us+H#97vJLH5=AZZCmXS2z&84DZZy5sGo4#2sGmi{IchZ4WY8*cWQH zTQu-H(G+Vu^|)}+em2#cu{Ak`k6);lL62qBYjmgR9vUid4M~t3lWpI)J@vw1n#s+r zHZ+g4C&mChB@O;W-D&NnE^Rh7;gnGv^F8zsXuoN8c=eC#+48V3TF8@IcPWTUMY%D$9&q}h zQD7&zh#SJdX0m{_a^t>jEoz7Y^YA>zzc++|1qJ5f1<#Q;nm-ay;>X`{{8aDXxLh1I zm-1#&U@M*D-z(u~m@E_2BPj~AS!y6xGyDSl{-5i*AyUkb?W}h>v8wt7IM3WA&zIEj zpWCc`*AN2Y?ni!<+M>T`V`{Z~qOdrxG|T+rx*fklb#ANZ(mHQq zW9vbmbR0YZM+~7v`TnB_HHTaQTDL#J7 z4m5G`J5J;xv6i(Pn=m%(f#X36OMEYc6`mm620w8C%j}MReJh<}_Om1wW|RWz0*=@m}s9AECD`{rUfGjIv*lgj1fW>M220~(>!StLf#2~(BJdsK3or2t z*H-97%s9z-%dWX{uu?N}>v3lSBAQMNZ+9?-_?!e~mY-VulYfeKT)5Ow9Jt8h5Gs`4 zF|G%S@(rk6euIXRH+WBdwy@UwDsnzB_g$gC33 z-%8@PQASV9yUn7mvg^BV&F=N$ZFXf9CoryI+XdlHzaKk?EODFCWEa zdW$|f%#a~FWfL3Ggq|{wgVsC=Avc)c~dTd2EVd-WZgl;658FfIp;nHEMJM$ z$SuKaICR?PCry5V{)AtHVwjfw8#7zy{eZm(=9w=5zSv<-ta1;mHx~&wXG5d)3nwRL zK}eKq(KPHgIA?p(2jHAtd1rukHoiFP9H@HVN-jB=&uDYM#z~jep0}IW%IOC1!)~1` z$D}kkXd@Fb>v)&0RrtiJ*X6`_t|od9ys@Fu`4ho#Ou$%!H#V`5w6TI+z*Q;uVvn1B zSc{tn$=i9+$6R*Cr4#i}z4wim_6y+_b(L?#!nD2N@51EUo7VwU3?9(qAN-6v?kR^I z*c*Q0*yRK2#P=tpwE?N0ko#@ku*dFl51`!e2d>x4?80^-?b7q6OyU+W%M;FyMmdgc zJQaYk%(>jVUkLN5nJycU|1$;jHzO?bd1#HA7pmq{8?IcBv*C!Fwcgke)~fn2_Z0_x zWp43le#5xvJ}+~7qzAj9UJD%eKJbW3%)JS)gqxe(43Ruk{X6`NEHT!1rX9{Ky`tL77CMRXUMU#a1i z@!58d?uDDs+_4mP)`G!1-z&msQrWTlCS>OAN9f-gT&h7J${OHw;$J@=Y4V2CFH02V zP!W9Zg}bzVY?5s%b zm4MUlj&>d7wCY$y#yI(w2u7l#qQSLU^6wXDNM#M4&f{luz7^}sle%#+Il(8!D(afT zBDwJQ`_0;ND6i`x^85E?I-9%@76yJsI7d^!O*7|c?gn7#bDLX>@4(O0dS;bt@RTMp zmW0il{$aP5xbijw4{Ad5 zG|*Tj7QBXF5Lc`UNJk6!?Hi96;SuY|9NTcPE6 z_`o#Hay)RSqIeUS`|r^Hd|h)!T7yjif5#5%k$x_&M@JDB>Gm$_$HAiRiu8CiMZ>VecG&7!~ZU_TL_<3|-U z@jpq4Lhgx@`}^F;5C6vJvTm3<+n*=cvFP1th-B`%l_H$rq)=Y@Uwl__60 zwl%E7&k!+whZk-{$4mYrgGYaSGRK<$z~aqW%$hRkE8TH`G!yvN!y?L z*~j_TdgrabBO2mjkftned3&<0@|8y@HH$s^rLim92vBlm&$W4Z{x-YnMkFxm z@4etbdS9s@&Xyg~OI`x|BiXefM>^2Sm-caeOMGV!c3HME5=(H@^~W=6-}2sNW9IU& zVo9|2d!Yu9sk4UTYT2D%V$2)@W^%%^y)u!c_xBlK)pq!4fa-HXT#lD{Q$bC?(Dhr* zi&h<8M0n+*ox$ftjibJ+|wRW^~pOZHGM9h zAlN-VsIf}j!;$Y!VWVXc)m(tGt@Ts2D>u`M&wv+Yp-25!f zF9bly^r&8V+>H|HamsSf6@a&CWbxXmCgm_x*jf6OceWvPIHN>H6zucl3*|h+;le*L$}Fs{DP#=jm@lP4I69cQew_1k4B&z>3g;}qy{OQzqD#U zz?a(-4yzZ-rd6(f*x{Qhxx{ycboGuy7M>_azxz90?aJMS{zNd5Fd(gi^01{hK-cn9 zX!k2$^b|XyyGxp8qFzE(A_lU9t?)Q8i9e9@0d$ZRIyDksFx(nCydOvTODf7Mw}5i9 zxN-BZb3+7KVW5w^gdM9DpFkR%kLs_3$S)FDvC3cKV=hjh*mH|w;m16F79XaIb+F$h zm}Lk1oimP_rq#iIH`5fUPZ;=$Kd`0O>gC0rg%3d0cI{*Hk$N)~vS(_fMww>W>ToJD z%7j&D!6VGau`%&{HN3z+Z_pLr*#kGkv^Kq(nIi>ibx^vw#?Q}RV{@UGt%JcWtjJuk z%;#tmg=4a=a@RP&5H`M6*svXYD$g;!UiGi~4St}fJJsa0hk^}l=AL^OQO|QR`9`=J zTp5H6+Ofhx%aEP-%849kRzwT?8U0zkl}JltR;LbzFsIq}2kzmMgA#Gr9->YeC!;A( zL?WBxHw1Et6^gIvn#&EjrrH5JDJM4Bue%vaXBv@~S7A7ke)CEsYvx{KX3WGY*I~AF zSdyKf`wZ=sV-!Zko^vi+zz?`o0ow zkdx&lBpcll9H(gCQ4v6HB^Dc#qu#Xgwm!WwrnW=53a^|So*b>87&|`9Wd0^*Gs;tL^A8JYar~ZxU3`hzmfsM8$%n0N5$xGIYYL+c)gPt-9LW3@ zVPLG-&GOg0Pj7mW?jLrROXA1Z%yvmESr1F4Nt?CTWZq=7g*BP$s`38J4W{I4S0K&# z((75HL23Yo6O8FB@sbbHtu?^+aG^bHEPywD{9v_k9(fW=(J&~En_&4}u!O{}z&Gy* z3!N^9jdXimFSp7$98xfUa{6bjZ%>_Gpc;V@@ z8wTC+m-r1g+oInvf~|m4p-K$E=p}gJRy6wchO_Sg-f>=Q9E3cL}$Ur-r4yWjn@`5i0n z7<_AwP@3gm_{KNKTSs82{D#P^Jz3(HOqc7tkt;Ba)Q3m_ji--@S#N{^Yxz!NCzG9i zN0>{ucivnAn;-o~H6Q<4>$zZL7PF~4*VP_b;5L_Q*j~wI6;}vDx{2}&EAZJ=K@(u&a_%8eKEu~)~ ziBA1E4l=kF%X& zhrwjr&B>Rx=l4QnS!Q<|OvW(=e91k@a}PFHOaf{Tpkmx^$anU7LvLB}-X*Wz01~Do ztNZxU=8=bE0N7Gftk?jM#W$|vckCM{>vx<;vcNLu6DKE5888j_j>DE3<5JCiF#~e7 z;zGp94lnau6A(KCbdV{EY7C2ad2)ZP@RiNs7iQo>XhD3hgnN({=JBCbyu(Xo{mf&|-Dsmnge@VNod%1XRDV+LN9-jXp( zFEu6-NA)&d337Lio*9I81aA!-A3YM0Yad`NDW-GGn_i3ti!m>sKc@xA25KsPtT~eivxJq5q|G z@BqT(>iw{M$!Y#^E(h5>EO6h| zfUVpgB{82chA>WL4v7=3D161)iAjH2#&g;)ZMsZ2u2^ERp+4aS+TW%!Em!#S4Y~=3 z3x|3sd}54<^5qkexRc81gnPu-4x4`yo{7ZmF`pZ8%bjh)l|XCZ;R7HPVPv9B=~;hf z@C5gM-HDiH8u>m4Iv+XnhEN|~_M;;;3owIfGY-^+~5GnQQ{LM z0DiEbc&+9q!(D!7(d1ViLpjBuh z^xZQ=nesR-gCnP`)o2In7(;WX#kIT3ge6)U4p)MC%R7ZV9L^MoX(YWV^7g$Dcq#i< zh&x|tS>0_$g8M@`7M5qTl06I$45yoj3HLqmVYP=_YW!_Mo*J1YeOe)IJAmM+vHy5E`l@>@mZiPf$Q6S?MnMB`wRKsT-P)=;d>#PS^a^F=473&a!Q5w zy>O#Jhu`6A*78=Y>*g&i@ z!3#m#P1>jTLVzay1J?2c!=Tlo*301X@P>|`iN9#5$&>wY`<`$1}TRBl09kuOJ5aP$^H>O z`5kenniRta%=7tbAJWR!q6PE+bgwC#_58mdT(X4ia40=1~2%X-W-ZIY!F7f;3RXXw-xoqqJn!uC z2ZHmE>+cMR6P4#RFY!9hV{6{cka)+nZlZ1fb^s9cgdALmONrofzi>BkYbF9u_{88U zux<(qf}Ga6k!>8dAiyJ-pCLsHQ6jE4u*k^O=PQu~h4Axpj9!X7I{p^ILfo6{^1et^ zf8bnbhK+{x0Z7=n7T3}4sqvNP&9cJrvMyifVpp|$*!ADz_{5)kd`+%0>r1G>8uWgH z!Tf<4XJaq$y4;rcY`^JiIi^96mtdME^GxsW1S|T^A8TC0{Noo!R>K#L#vWD9I@~Nd zG;geR3D0@tTR1A0jJ;W)%ySs8-_gUPv*JqF>o{3KnU@z&oTeSt<_($W2G_FXD+u6y zb6S@nbaFERsh%^tuzOdNTucird#)f2zGQ{n(Z}ryF3;s(e65Rp@t5v<0O19A4^E0z zeXrcJ6XzhP_?(1`eQ|+t-sAh?u>B)%@0{fmFicXe;jVBUQ1x8r=4*4gh7ZI)anSPl zvU6$qXcAta<%?{p)Q~~U7k(%<>Re5b-|ILalr)SBw0t?C>w<0K%-Y7aXLA48Ern6DDk)hlnN^}HlJArN= z1d~?+?Aj<}A#sZUUqGP0dFKVmQnPU;^)NAi>BqA-y@&wEM76-z>83irW8KuRn-_w> zoL1tEMC5*IIlQnVMde{vggG!;wqqr4hehr{SA-lKz>GTCmbyI7cdXV&Rvfq7)C4w+ z-V0&IkCyC9KHFKZ^HDXk@uyrI55LO008PgRvuTzOG99=!lAU`PT=Qo};2ixeGbIt; zz;Yj73|LPbUP`)vL%oL<*%GxYi9n--8sI;A{I{h#_p@o?g?Sx>l^1gC$-e0CHu!T1 z?T|f(%;zcT?kmUqn*M^)9QJx8m& z@(r+Rl;_Q?Y(~gkuU( zO^}PdcYzKrhPRfw*al5j3cA^r2|a)Q@T^k#+LaLqw?bnCx}4$)tRokaIxZ~CHtlx_ zEYY#mFNA@Ie$rj%HJ(hC0c&n@Tkje~L&v|(iiq$rdBci?liU08GT`xS_FjkpsljH2 zd5rO;uN7F7duT z{_W^n-GJ`XH|140AMAzl1&7dqvul_pw$H8W1@$5=O}Q&kl^5d3$<)u=@|M$l+~bxO zY3PUF@@0cNyx_+v_6$6wT=+-#3)l6{VFFKS04l60Km^x>tJ}zSPP5(PHGh`{M?-YK zBM3K|7txIbEru$5t-%56CCnhA+kOG=!(>m|aK4_T*>2by6N$$LVmQ(>unhQO6aC4C zFV?-a@kqp5&;zz%k&FyM?BIHx?k;bSi)F6jed8zm_jb(&tV1g)bbiBJ>AXbVb#3No z!3}fd$7Z!H#a*IT-9Q`H$4L=cKJ!OGo=4M_j#-=B+p*iZ?C}4Lnuso9E3dzHbQf!+J)Vx9y*E z-;9nvbk8+5`R6=$`(Z6l0JMC?Yv)oZv67dli|d3Xb>nJgUmNB_H?x_EY%^;)d$;gH zWRaW{+vU}6yl}&Vip-Ga+pUp8Gow=qiit#`MBj1cZwFj;mf7OTH)BxQ(yKA zKXgT^-;}$R)2l~D0AHRy*m1n#S|7N`0%aTg`x984+}%_3z5Nz2aAmpkl(?j1LqxIC|qv--5H4a zUI@4>)#ZJ|sHh);ik!oMQXrFy%k{>}^YIpmm$+=;Aal|hyj$=g46frFv)s!5ql{o-Rb`UJG-?h@^%Ii&NjHbBkaU4+}spg*FifTQIeY% zLR~Y<&W2B%#~4zZzZYVerbTxnKX6ZGk$o;ohhNm(gMpYLdwXo@=!{OXa& z-tUO9=Ka}%tZqF1#7zQ34dd-+KQ?;r^gzdPZ8|rnQ*k+LZEQski~?2N^Z6ESk2?rt z_tnq}JcwlXP$TQ?Q%azCObI#V`a;OO#E5qgK9ak^k-sXk&T>6s63+1|Ws^1b07r!A^#OSGZrx$y&&CA2WO0*LgEE9V~ znR3y7FVuh%v4G1d#AE3xy=Q3aDgCNpUgEW9`TfC-N6*&*up=1<4{#hF!oeDh8zuFy z$|K@)kAIpGYS(0^jFWSBp9|ZdRqg{Zgj{ zi6mEx1N)b&Ceu6ax*fN_V_n~uf6EoSfOiZy;vB)~7ZN?0Uy0y(;;RpgQ+|Q<3eq>a zOHK)2XRoZpX}4CCdsyQA{^6)f;;|2`PAfs`kJ+6PQtSX-lDtR<;F2JL?7Z+{%{DLG zsM6(kteeQ#FYL(sTPYuzduCZmD+nx04kmK>#<3pCClIRsMvHOl-=_UuiRtaHtT)YB zqkPxN$8WfKfeT+!_dQ_v9VfE0a=IEldQC&SenH-g4Qm%X$VH-F+OXx_3j_++rS2E5 zeR6sk5t>r?Rw#ctgZP0h$(=ZZZ|U_8Betc7BbQUC_F!RX{`)=lb0C3ZVSHR z#^oABR-CkEj!N_^2b>I{%yI0&MCBieFC90H0H;G8`*x0(aY8ALre11nFZ1TI+TK#c z>6DX40yNv6!ut;_UGuBP45zja=Q(d~57y%HlQB2lftkydGauits_WJ^&i%R~C)?vU zw7d-;SiN=%IXEzTMM#O?G4F`>dAHm+5QFXW)GgL?1$Wh~{L0rdHvF}(D(q^KPrM!M z4xIdE3G=g&->@7ONvebc+nC!mA9ltG>SQiqu#F}3^Qq?ordZ2sD_d+i?BWjd@*C#m zcVHb(SVdTA7{c7COtE?AyY>K+)h_9VOTFW>(jw9!(^_$8ZgPO6RjS?a8+IJPYr%4| zcp5ZP?KURPUOF86@fQWa}KLS2{3I|q%N z=G2V$r?iIpKvCUcm2#K-a@bQLG)%zcCRxp+ms)%EY&kda-}S3c+b4& zM(S(`v#fD?<%Jm$35{z#;&qWpIVavE1$eG`Q!oWC>OW8d_{nLr1-ruUGedpn^!ztTgTo1 z6Hop;+nwT{ECBwq-FW`V%#M0xx{-6XY-tE`aaF&Z8Hb*lFYMeqmcOg_e4**@J#nK$=0X0G3BUQ|W00&XcQSN-a#eX8 zc^$Y_MNSM@5Lf>4u$Hv^@|72iSN5EmpWMv4{mJ7`+P?FG2KmUef}C$Znfw;=_>q?k zOyFet$nr3d{*?i{6PZWZPagVw(OC&=L>@}D7X95!4JThXc6h#WD>99%huvSfmpt_C zFrUls+I~CSr{bG_J*dtiHk!J=3;j=J(q?_~N>rziH$yqT3k;>Z@}@1}lk)}zx&G}e zW(r-%q@XY_3EBmT8M}A*_^7xU7 z22Q5j)0S^7SFTrW8;sGpFMI#_eI(*N$hwAi#u$F$`O901g}CI2(uZsz2yn@}uaPz7 z){ZT^XP?iH%!rLo#=y<(r3W=c;|0oMVh)Gc^Ov(TQpxiA6LJ6iETeJ+0t$*X#7909 z$b@#TO4X`3OTj0POlFJ=Q(972QmPuD;GX>%f`VrYnEef83FDjGVeCTM;0lZ zY4b;0I@A%QkXy2TI%#Pqtt|_-9e1-FfyX$FK~zl$hu_>Udr0AX(%(fOYn*V8H+g&|G%(~X6ZKS?X_hK{%zWXeHLXkEoi_COnY#|@R^;v2isbQL z@|pv;c`nT(mp*yQ#s{}~9#hDpQgY?tM$bCV8CB-f8BMnBGgO~Po|T$kFs8Qtol!&X z-#@<}*(#BSC9h0p{`96}c|TcBdX|Ev$pzi}kdmcHk1gF&&eFlPs%-5@(2|Q=dR(&f zELl7$8^9|gG9cd$6GNWV$g`5S;^U6hPu_C6MB0@+G0!RTevdT%wD!_HAtFPc?cx@#4W?SAm2)w+r_eHuPl$e1(#wz+LcW`YA)^OC1 zzr8ORG=``sxiKT}fCWH?m1~0y_T;`$TW+c57s~ZrGXD%PkSn-F7cKDpt6XJHAxfs_ z2JN4*q-K<2F)>L-sL9G=PSW|x<&g~vPWhx@6aKpyu$ns%ouX~~9ExRDxBd>1o z;LFcb_DlHhi~PRz_M?q!+L`9MKUw~1Z9DpVm$O@eV_tvPwbfYUv)E;5f@J2%?{Z>7 z9(3*8ex!Bdkx$!3$qQOTPC&UmYvM@KoacoB0_5%^TdLs$MAnzheEvc*R~bbxUFL=& zYfFCl%xRY@a)@SAZ820puH0(!@-?!SUSP`1Z(m2YAq#WKzi%-Q6c{p>+~0J}?=GKV zYt#42cGhBc%X~W~T(0~n+R>+KUmPY${A5)L5&e=Efc}W31k$)wBP2;7J`mFgU?StL?$qfJ-ORm9wq(JBuBj3MuvjuJ=zt7{JK6x-X!*^lH zfa+&U1CLJJ@e~>TLlUS#7C*r&FVWM-Ba_Kk(o^+}a;Ilm4iTe>rUUD!h$A~f3k;f4 zcld4P_b!Ui_!+vRZf#pVQklk-L!T@&7e>b^vg)5kdY-2i?2LKgfZZ_H?j4%)x<2K@ zk1onI_|Ns{Bfdotx#yW-IGNm8QwF+2T0RlWL@sR}IsL)7cXDlmvgy09vKyelU?(zA ziMc*owN^8_W$|RsZh_G)S4V7YuQ*hc4?8`D^(V`mo<&6jjP@*VDGbA)Wm(SDv&-It z>`nP$J$%is1_NYr&p*TVo7WP{{FF-{;-mx1ugZD=LsIs9kVWFCk~fEGAlh7m*`@kZ z>{SIM-6I!>LDA&GltDPx5&e1o9J)X~m6wkxcmhy<%HD(Q=viX|F;&(==Be7hN5>p^ zsJ4{%)4n7AmjaThCbFD{k+mwX2wYD>p<|7S)1f0IfWla3R;WZ>`-BEJ`ts zt1OD8ynqZ^?jAC_Zb&>QDQw7+1TzGV-ZCOi=g*vxytKRG6QlF@5o#4|T z>WO4K9o;8){k;e{qJRUciVU1n$rr@34+^0?bhiMNKqHgeifq9SU@nx4{wyX1a5m+l zb-P2*bNUR3dCt$aDhuLnO&)GtA0ASVHdU0helzCnihav?*m~IAL(~}%HjP~N5HL>x z?REb8TaT+78)KK>b>%_Sw0u7tG4t;T8_T8zgdgXP5Mz-o^zJE22(a=WWFK;q69Xc6 z^He&X+WnJ{Og(c!PL=b*iQrrj$ItDeIwI1p_>Ro3>yM}u7O9)7gH0ow2Tm8e3Ve|3 zWckR?@1~HKU3d`XOa9nlj`;t9jMmzygTI`qJ0cu@xo>|KS@Y-Rx2-8}TdKaALobP2 zYc;8a_72dYA<-KxV;epdll?CqgPaZxZmP@QX zDGLS)$jm&+%J>AK1*PDul&>YwPgrxQKDX1?7J0M>6shz&VZeZV=C!S+%gXK(Q$BO zZUcLfRTRJ%@d+|_whmPg!WwLIc=0(_RR6@(8#6z3iMmboo(2lp%v z{Wb6WaF69NV6NZv6-&_Y8Mi*IE7qU^I3G*BgX6j+|}LeQ&hwADDBa`{b8R<)akmEQ;gl>9)KzD2UrJV8MZFZFo` zN}ix#haVyz!CS%!>#S6@QkHoIHubJyc&9ZxovRtx3qSzc0AO42C?~WyY zu4)-kRm`JkEgiy3XB?anC%=4)Z@j`8krl-uKHRGC;R?L4ylpSpIpNA^a{rNjQWtME z{O~8<{11;E)+;PwS<8eaY-X{Nf#bW-OketBu~k&C!*`KY$z5+>tz2HDBrr-P$Tb_y zD|q3hJb_+UV}V~;UZPj7t!gP~-}BlA!(7oDwEQD}u4U0 zQ$dEfbKi)&wIctXJpEJIAxp94#Y^I>vhHtNyZ-JRg;gi7UWO!3&jU$5vsh)51dcpc z{R~~_j}y{=^48*XNC76E@75#s5zlW0Mm*0C1BvIlh@HNkA1xjT@%%1i{>xPpD9$T( zQ7wQ7FY^0Oziq*jRhX3I=bwJEEU0o}$yx{-Q=Z#Eh)d&7k;a}X{Vc)B4e;)?FgKvN zlV1DE0)KBXG3_ko+1H*Tn@TgIQ7*0M?N$6EubdAg?WuCyd1dMNSC$Z$SI%2hdj!<; zih0Xvj|Ooxn4DU!Y7-p(D~rtsseOmLIqgIbZfUYFJQRCAWH&qLCQM{A^0|D&5Vvjv zD!HUBtrbyJngNgH=X_XeWi`25eb^1Ir=;VxB4*A8pl~jGXY*GB&szQtpjk^U&IT-R zdN+``J&PIj&}z|-tfcvnN1lugr1>eHqE&%IHeg@#_^rL_&p-w}`9ju;UU6pF?<;5B zx`Asfw`^2tnZV2&XvLa5oX^j%IJMzJV!<0I#`1ux>iuls6O)$CsvS3FqJv3H`fZA3 zqJc|n%I`}WGxyK!Co4>?YLHC>CRqA;=~stQGrw(hZOj@{c?@4EU6$Ae1aZC{qgiCp z!(UmuW_M}o7EDvCV&QDnVDj>~1g|yY9n0k%9WO=4D?k@sh@=&#yQ?Qxcb(02*-Hd5|`VJ#L2E9$D^MnyAzbxNfOTUDB2H z=d(2@{Q^}PL~+@*rix|*znXMylR*o*{$zk?Kz&Qk^+!LP>ZPrT)weaV`nD#vvIY!y z?w29(`vwg6$X``3f31zKEky=Vk+*)8q0UrVZtL0ud$SB_a4?FzetwtGzt+wp!{+>asZ;gKyi1|9_H?llG*6rGiMpeDl7vqb zFlU2_x@EDFeDk}|vW2z5M4dacD^jijg)X8fO~$T~#gh-@4Ve-0gzQFLz4L`8ecjat z*^mZ7YLB%}3OridTJ`>#PnylhJ#zJHHVCvK-mV5thm(JPSJFHVVeic26f6#MyXwBc zK-Vk^Y^=c^numcIK#vr!`wC2;EsNqSXhRu{8ZgsxyDA@}W%FwTZ$tiaFo5Q#-<5Rc zx^z*5z{_xQTh%(+hG1{o&{G9$rBwZXILrX~{&(>{ z@_S`&>F>hGK9UB5t_%fXC2NKzPoe}~w;?eV&8QIbj;`k12K#LjdCSPyM@PmnzpP<^ z8ZQ*N|NKnBqi;Jp4AnmQ%0hS3z_6ISWz7f{N0xgwMZL1jxcLZ|#Vd=dG>a-HQ!IvU zip8*jXE6`)S%mWCm2s}hH&op;C*riLT&PUC`dtu&QUm(F)n}+d0e*8IgS*L#iYmuU3o21AU7Q_o&43NI7DB0=%97B?N7$JPhN0DpFw1S z%!*Zh9^YE$6K%`$9faY*f<++}TWDpc;(ydP1WkzG4QDL2GDh^TfZ#69Ta zf|PG-${GX*Rvs*HAmw?qi|1jo91OJ`wTS^wnpe0}g($Bb%g~Yf>S&ZrJ9-W|#$)*X z{_3`39qJ11>ju{wS(bpi4nSPZ_bZO3M`o2PW9aQ9ZwKpIGKbm$K1@5Op*8Gq3(9MV zIqfUt4BzWj{p;Og`IA_)BHt~;LcUv|;vEJ=DXa}CtjQkUE$cza&%Y~Vn)SVQeZC9w zu_GNp?m5^DcP?&d?S%0ba*i_YW(3ToNpMs*o8XgcGv%|x=qKWos?YUP_|7^+hfVKf zvE}8an~`qG{VUIjUIlsBtHvyM*xB+Jsyk!*0O(;7lfF5m&LbUnBqq3<-7MEmkb-~% zh4~(w_qdQ(pAO4auDhA4QsrBKX)U2FhEsNrd>%C}C zVr?i=`jN-qo=C3tj&o|uZ>xEe>|K3A9p~1aMKRw{KDjYf0$@8xDp!78B&D=m36Nz^ z?-&Sq;k49&SrnT=w@~sd&a8`eBiT=4|9P1(h4n6Bn!W4Mu>--@(ElqR{W3FK7&{m$b6uu5k2~OXGAcCk3QZ%k9@3yd zd~{5%B2`^gOJ7ZUVs)+i5}Ms^;5>Q$=%Cz9pWj0V&7RWOy|QzzcVUTr#gk7Ly?g4< z2I_f;j}AGd?tA4fYm4FVJ)5opMov!dN}Dgj7*VLtC(G2 zG~Es>BFl)w*(8~?`t17hF5NhPhCAYxMb!NRVarwIY-{K^o19$wIP$X?Hu_W!%Ra>h z-Es2h^0O%3eJXyT&-F;vml$z3!cysZuqdqjIyQ|^}MN3opt6?7w>$*&t?K=%2G~(EuUtq;nzxrzvsb2rdo>R^kgrPps&Kh> z#4^gyLh;dYlFh>kp^W)AizkHBVNAIm(BCa#!Se z-RCVsX|7GzrXs2=Hx(q``F9+m^FSDKPW=JUbpYt3V~1F``!VZ#uFep(;RtbIKZ5@2 zz}LxlnZhgj%2m2j^{+F<^4|ft%Z1M+Gi2(1VGOL&(W-x)AAJiUo4Ira*mVop%%zD} zvx9;)tMtdVm+!kEu%I%B)HJc=&1yWxJm2#LIm?Yl{6FIn?vw$XnB3jP==aL`fG`lb zxN>P-j%ovuiaUwJPkKnd15sE#U%4>l)^|bQChna9Qt^`O{*JI@VjBp1l+wj=J`e_3 za^>dpBNwUr6s!0^SY*w`Pw{As$CCHt>aL&il`L~0QnKXwL2Z{0FN)821b;ss1r?1) zo#z8tWJJ`i-D1HTh?7jtr-3-hE%z_2{1#Zlc+`P25IHH&pQ^oe;U>xx&nUo+}6G1yKJG`A641A2GE^dMY(%Q zKdKvj0NW{p=!nT;7?|^9S;C_S;G8pyQ~I?DmVdM-ANU50#A)5IY(O*1!WJ}O70%zh zD@*QxSy+mb%u54i-n=21T{mkBFzil|#m_QexXl5!10S1HW&O6@ z9(IsC@Rz}YQ|*_KhZw{tN!xRoM`=4-A;&tG;^k15IOBo1!8|9Hs(tTg+KuURH)Z{9 zTMQusL4?T-H4sGDs5L>*&1CfF=i-Lt42>i=q z6oG$vSZs+N8VLLw`SGSh9+7`inbzgIgC|UXmmu!3mDg`}DYFZ|Aml zJv?krwr%O4Axgl`D{H@6=uz&;pL5{WlrIBuhSIii^z{;AJ&c&_WVy>Qf-WMrZ?SW{ z7j%@aM@~W;-WwTaYEF3No&)Fxh|O|uEaAg{)~MUpK${>wY*+AYX;1X>3LwF z$plk2Wm#H}2H*`dCyFeUhcPj$FGozk!xAwyxuAOMDXJD94Urh9YVE3w9OE%NSynv} znUiLId($KKQS$i#i(T$2W2cem;8O1{}2B%+?Tx-d^(+ zs#g?L;Y4I-m*0mpz6oX9g#9kx-G_=uqVp` zf}Jo|Wj@4dNv9Ij35aAyYi(o0nZ_*E^Y6khF^j4)(=1l`jaZg@u5%He)das->flnT zgKoYZ2CJQa&C0}txoYOJYPJ|nCWOwF6~5GoOi@Ygn@AOvOKUQ&iV)CGaF69@$#R5> zv*u#snMI;^C)mT1UNS)z*7EPe_AYS7Hp+6q0x-O`)J?)EFp){R=F$Zn2N*fcQLmOt zxkyWv3~}T3%`MrEBifZ!+g08TA4SW>ZON1jkU9t0X`QklCMPIJb7hZ2T28XfVK-V7 zCG2ck_M|7vvaBJ3J6EO(Rj=zSuyphE&@6rYL9je1W*`zFMURA2a zX@;(yWgy}5%M}|j&2%NQ&`ixL2|#C+PMvccYaI2*yKMDvMa#+!2Oo%&TtmC1>MZ`1|p9ug8A(fC?NYtg3?>SDfI1N~&%Uu)6vZ_x?UjM{qu?x3+dtoCu;wC-i9# zqz{1*h0Lyn7>GrDB%gm3(FAOo2I5buERaeGd^VSGmrZc#r>+EdemZ&?E{UsHp_s8d zub9mN6BJQ-2?Rw{-Yk~bs3xe^bH%n!#U-ip<`Ock2{TL{1I7m>va$GAnsOK|@%8&u* z7N`2OMGauBbT?d@CyR1SUq&zc3dpKLq_=)tK9*gC zNH{})EVzJjg*zQ4Dh`-KH?S@OV^Zu&Nh8yS+Q#NLUDb3fNK^8`+cRjza3+Kdw#+KhdsQw*O6_G9`4++~m(`28%FfNX-^|%$U+g7{)9+v$H zCs2++?uXEac*x{H!0gXo9=U@~>b%wCP-+L_g)y3{vqpBStrbUD-~T{sH>ft-+u+o5 zMZ>DUtDq-MgR*fsZ1aZ-l~*cw3G%WGtAA2Gp;C?UVSu4hQI*|?uYZ+;bmCYD59|EY zhq6Ez7jU%c#0^GH8V|a`be6#>Q}uzTOw~Qp=VY&ovVhYT?8CYGKul&O4l1A96DHpW z$6>CYqT80CAQOgTfmcv&*f~sVfmbk3YoiIw?Sb-@>jP+e@;oeLhHpvN-_Mixj{Q7U z#S9vwq>$!S(ag3x+H(zpmm(``_kJb+1^I} zf}P(sgwbpp>*L9-A3}7zK?6DE_buPHOkeT|9^6P*Uvq_K`MF;|rqM>`_93gW+`r`G zOo1owf;}o1x8%gWjfOIR4QwJK*KZenV2hpTl?6Aqm5Oo~Nins{k+bfGl{7zms)|j% z-N`1Yjblk3=Ei!NR`iW?iu{hlY|j_E%!6tfsb;<~v+A>9b5UtN3Pmv@~~zY1rWq-%;q-Oz*^=d0ocl1y3r8jj+sB- z(Etqjg-~UrHOt3on|!0PW$tRo_1ry6``)PHa}|~_ts(#2uAd!n8zW|Z!4`n$My&nH zU2?*X*cN3mFKhr8XKtY)7k7JpHW5G(bA@4@&RulRse3QVSjTb!CHn=o1<)rJ&TV9k zS(K~-8}{arD_F(j0W^WEV0+NQ*SO^kbxV7hcj1B<1RdfA%;$)_~@52)|%XSkPznQ zw@)YU3t^$z;1KL`_xzD{|K{-vdKKHIE4pQp&!7Ett?bcp4obi@>Ok?A6UFbYhlC9# zg}hyMIZ$n|_T`lTpji32%MxixYfdh{Wb-#ntE7U0k<=rJS$2Nqk z+%9a9fS8T;88G$_-M|I_Hh&7^8`xRSXYE(q()cbbHo&oY^XeA;mP;FAM%zHgcKKaw zk{f8*A_Xp?FWP-*1!$dx0cKK`fYuE-Z7yEfpmrC;{O;l$-d)usqbFE$L2^d#t`zgz z7zc9kt83#VB5oVuK(6~*IuL-Ee{%iSk&z)PwZU<7Y38TQuhYbz8vtGT6k9Tt?k*Vl z-6bF!Nl*RovpDR|&xg<{4)|`?fWcoNqx6iQ$Cqq{fcIt%67b%vc^JMoi(=l|$U7uI zcind^@lY0Lw)VcVFf{J*8A%#topT5l%K9;)g?d)fhH@Nl%dm7{0$QLBJ_?|YAXTBilrVS8}i0@>`=S^T`as{fcL@{o$cBfE;Z$KSdZa?g2Sv51PLoR;kwMoi)chPmmT*JAoKg1y0h(WTh17?tXJhlj!Eb2OF zkdXADm++syqApDE(&e8=0AdUOvW z@+4V)cp~h3!$p(l^xA>vG4I!g6D9YBQWtFVndH)U4m3uf0+&=C(vfwnZ24Vc@;00n z`TVdY^k5^NCr>E=Nu=+#Wc%4aS-|$*;l5?xZ{q&ojoVd!cpI}|_ z&f*zv_=viJFmU>__uUX81*#k7j%p$0APQD-{FUPnAa&b%CI|p#- zmEXR^mUfIxU}aejt_S$(ky~ff`?)~*^yg77)?*Ore7hQK&La#t2N>y=n{$>nPoRYd z^Z=X> z**u9`&Z7rbbNQG8+CNpzAjc9%<EQ?>8_EiND9 zND7ZrmAmf1W-lKX+;u0{??_nZF|1k3vH*n+vPGRNiVf>D^MA?xvQQi4?#wbg)2YAB zCy*bI6W1}sddcz>z{F_^qC6nw)d!Bw%_g>#0~dp|zX~VFv4l{$eO3JM2R?}|&kMrj zz$cN{D)=C>PGL@nTpz&V<#!2uJ52)L4pKtp+Gt9sSN`dZCVReN@$%fa6j4uZz8nA# zzpJ0F2jEc{`|D5{keiz*id?>E$uxx&gJ$l`X~}ZsWwipipmu&A9P^Ldu(CJ$m?K9XkhRun(xB~ARDBhW9r@fx@=%=i zWBfVr?8xLiIW+k6M}P_k$)83Rq0aAoK^22u^!_4r{|BBP5yiH1x@x>2KRLOy8n``k z2On@?Px-yb<5f}wo^B~KyrGMe#p$)9xKhRRDk96#v`-zXz{s3j9IQ=w>3!Eq2Z1k+mo09{(CIAko$C7m-RuIeCzSCNk`nY<62Ci&e<9NGt5 zJJOaVOeDvACV3YcY8F1=;}Lm_^YECHB=52V@HLUQe%>ugg84w?>l|_X9;2C%2ey#? z0+r0Qby$?qffFMuHHOx&S>E#X;N{3V>~x!5xA?^~HO~DYpgYCJoGILd2R@G6oOw4s zn*64cN*^TF$_q7o9(gWL%?xP=JBx*cn89$a`Dl6RZ zIaDb?64rT+9$=c-Sv%rN_n|BiyT`l;Qr~y@tX!eJ^ke8sXTg@~_3Lp&`!xIO0eN_O zdT9=yvy`#zte@l3s=h97GdCX^`g4I;DD%p>-lefi31WKl*%vfLMv+oJ$lx*4epVzb zq$bx;bL|`i)#Tx_hM?HaQuOUXVUjxP_$ z$_fyxmIro2xu9DoAf8!g-A#7RtZHWp!x-l|&We~(15W=`?-$b|JGk*US)oyeI#BxAVm0Jc%`YFH993Ohl zkKx2fty0Tg?RVMhm-+aPl3JZ331E+r(96$~eg1$0D^CNXz{<55k}v5P$$U1;7|p!g z(4{Ab0Ikm%3amXx(a;AfK+U3fcMoW?L=?!*!Jeq4Y0UMpO)VR7gGg&yu;T%Be6Ieg z@-1N|$*p;}fFp%TKB$8wSH7haEM7UVtiupQ2SHW&bz69?4+ecMT~XGryw#UugFLUm z$4^>^2XBn?JSQ;FrTV93(x!v4C%ye@1bLDp#;eQks?VOBB&{Ld%Ma!__d?F<800jR zAm)HU$mv}7iZI`
u^mMY8saiYxXPQLQAL8hPHTQG|qv| z+VZJ4?TO(3iOs8_EsMI!H1Q;mbVJiTgn+WKZl~JT4D@YJbykprY$p&$GH^i7pXHU? zlbeRviL$bskus38-M(3<9H$WME08n&3FM=%8xd2q7v)Uy4S6NC6mm}U+?>4))(O7O z!XbM8J%?<)^6GhGGwCLfGnG2zlgyXxVXTC!`4Ed%wrBeaWdPf9bA>v&fkh+;9QcCuXa&T|0J$Zj z0OWK?g*aujHnTD0?uU~yFAr@~`8jJ+eDrhd@h9TSCIMW)N}6A=j~0+qWI-%hv%`fP ztqOU{VrQoJB=?K^sT8|B-XEziEbn=B01tWUu3jPxycWtO4_-uIOp$Yn6UZ~EOORJ? zYcDz$V5!e_seV9Pn_|tn5-#XUY%JzAzrHRl?_~1lhHNlSAXx|HN2Z>on_N%6Fl9?7 zt9gD!(-w5!x4854oG}SvHVHu1p^S)+a&m)n_$$OME34%u%)LE=#cp=WvauN6YUP9)yn(rt7_PP{W*84- z*|TAUmn{r&4|!1>&(`}-*7b(uG=rQ2ogl-RD;I`L^O3o~AugH5qih+6Lnwh7g7x=h zwty)6BOC&`tIQ#gUtTjIP(zZXy!{V3PeSe)362XRpRI9Wi9R^mko4tPRECuE>P|UO=J0t-l{RpMdW^Z;T`75rdd1Cm^?EI)|)!0&Mv+H+}0@J7MeI zg>pVuL#`RFf(uRbq=8hF@_-KVNi_g&)J<7mfOv1^MneWDd>x^XtnBbNB$}=9xUGun`Ba$qgLU|?AWCM8E(=x0| zxy#-FX2h%{&gG{=b4o()d9RpDH##%rKXRcbtPbR(lXl)i3bi`K1jukeP=I{SGvsrK zX9)64>CqFM4OG}kB1P#c~#=?S$?FReNr5GQL~_etZ1#~+)Ae%%8z{irAH(Xq2@@BrFi*C1Z8^T|Vh z8L3(>Zw}e|m#S5Wpvd2CZoNAgPZy09aC*qkO*DfgfwGXN94?IYGdD)J1R()!mI09V zu1Yb(Um+Jc_`_eKa?cbXxG;2BYyorQLQcB_S*)K8VFWyE?uR4is19i{AK6%fn2%iL zqeDlydLXM(2`5W7bs#}Z-h<$D8CjGaQxn2K-lE{{;$*SAG|DAm3m{J^t}Ge2ySmYT zZi<;#2(nh@J)E8V@+utzhsuzjM|SSw!q%Sk?H|tSMH%@abM zm`6`DFudoHd!`=ikA#;(2DQ$}7e+$-L7p0tm+Uf>+-^ET8D@Z$`#D%Ga)WH zyup+%uhXdp_Oh%Hz`Z7|+4}aaeGA9rl;VaA)U!oBfaQH<@n~Oy8!gxM$f5%?d#;N_ zphF%%vf9T^4yI`ZX7!TAlHHQHP_zB3JmSZMoDn{dbHoVbd?qiCAQ>Sad40)*QIM+~ zM#>|Q4#-2RQ*uui*y+WmAFEGB*g51b4Ml8is;Q+05jpFb1>|-40~eS8};+G6aA zdH$BBZv=QazaZy5gP3*Kg5Wvno-SV=v2eL_d!`_OeB^FskaT)f$dAlri-gN{kqx?l zS})HKQ03*0zzoTiSz6V#WK~DTkCR)5ahR9!BAQ#Vj2^i*Cu4M5K_FTl7+|N%eNih< zAlr;U1ti!tKmIcijNL7ZIm!(3$&mB+LTl2OHRpMG#V)G}2-G&AfjXV{BXb1z7w>uI?1}P+Z9Aydc9dkS`zw?#gvA<5YeL+?q94 z8u+eU%XgJKS>AFeFGdaihYo=rmRSv z;OmhOk07zMXCX)|9bk$PlIKP=i!v|y0^GGygeo+M6FXAm%ITPJVdp^g_X3ofylghf zED5>hxeJeN(cgRCuNX>}-&mF`t4$5er3sZ{D};P|$`FW;4oHNS6=@?#6Y{4;a9Pri zi}`@1Uja)OImbFeKG}d)5M3rOQ08k~$R?m-(PX&-@H`#4Vds?AxNs7B<&~i;NtMhK zoV&G)-KZdjOsdqyYFI!3pNA`4!>!0Gk9_ALYqG_J<=2lbEp~YFCpU4v6?lg8qGusr zD>u+qkz4_65;D-h`kddna44VzNJgf2FO(g7l`)qcY)8h=IyYnvAKYFZ%Bb#)&#hHYu1(F_|4w}j^4b% z!O@#tu?4Q)ya!oORxSWxAaa91EFoumctK26&GVr*x@iW|TtHMeO+kX{Ewbnn#>SUb zM>uEm_JJ^{mY3SzWzm9fHg91T7nPq6x{lKd<%}POJhjU$emTiU^&xl|yZqi|^1|aN zKkE_-2c(E{;DCcM58;u?m>@10!EiTbwS7Fg9*^QUJ99J@_#b;N4*B$ImZ9DBd?81Q zK%R+48M0!Yz^dR7oJ~=pX>lRL7z$jD(%j6M12IFBU%3gSri|9}ItO00ysVC{oj2sH zh6teit}*oHm6JN-!jWME2Vq_cjJPb{zxt27MDrY(5(lC{5X#uPk_@v1$qjNML&Qy! z;$h9s_1k&^gI{ilTx1%UpDv5COTtMft1%*Ww78|+byRZzYgzt%=IA$ws<(r)EboYL z>TUTwbH_pkpSIkvc)a3p3$YW|#0!FrZIH!^@^wFx9>xwtm+$s}^Yee%vW)Pigwd2oRR zEw2-^tL+W}OSyOixa8vW01Jw=tmaPPxrW>_Ngpl%%9md-#57r^8I7_m-k35ohib!# z_c(rMP<}-JGB2vsDCa_gxaE8@0rr;BzI0ESOV1;7sm3+el!Y3+ZB?G%KhLX5N)kBF z!3FWr$+yLJVP4&=z|J4b6L{bBcilqg-rC)u-OklL?lL$$C(NTKLO6w`{G;b+FvVpU z&U>MYmBB*9y1a492Zlc=FAt>2g4=jeeDt8S9$5|HN6yR5vf$jAFNpbe72g&+I2j>7 zISC0aw4A^b7rLrNt0;1yz;`U-&bjw+LB{l|o`RM*@B%)&e4s^`TbKK_#kI?VY>sF7 zeaiB;0^xTIi(BA$&i&I=^#o6HxrZRW|^WF33?UIKIa+6(YN!$zMsRw-Xd*=d{)@~C+Z(tB)(2K5MUtr#+!gjgX zqDA?UbvCk~T$x5?X6<~%?kQl5C$|;a&ta`N6kGm`d);KLjdJ$ym;JK@@1;X<|E#fl ztA4eOeL5Go)ik-cepp0~6)8}L8E6ReA%6!>vYV6tmBm)LkE%0U{Q>)kwt=Kmc{$u? z%b+|tWfH{l^K;GUxL0m@Ode1j>6L4x8^vXovk6^8l}qH|)P`yQ47z-N(^}Q)@1L7VVxK*$=U)VIAO$ znyoWOy+Z(B$XuENw=M?8$d9jp%8Wv}im$+e=kxFY6gH2ppH&y=3z^%SaJgkcG6m?1 zy!}`_auzdordVpZEXtaQAV?9H4#fSl4D6#leIf<6f0J|9VQZG~sfXrg%sDhj+z9DC(8OSpq{^}zjNpsMVE_WTunLGq?&T|V{!VBsn z^mUN)VX;1;*II&h$T{^kWZ8EsfEZO|fihGJBTR~MH6%uUAg9cMD0ZKUsJ1S@i)LF9 zCbo0)TGr31rRPhcE3Vxz@YP@#xpBSx$aw%)!(q%^de6wS`bf|<#x88NC`1B=^PC z>dd3VM1UUkkyy?OIA?45@hxK%Ah7)OF51@Jr0}gzADu6eVPJtw2C|sOUb*ShUE2wk zsyrml{CRxoM?O0njw+BM`9l;3T(3GQVuZH*dl8`3dqJQb71$9GrSSlYtSo9{fdgsz zZAHvr6{O4QoR8FU?Fj}2h)C!ewbNw$z?+w!XCP&k#WhypTg%;wD94%QE@q92 zz`^{Hd*&c}MLEz`!~rG^r1qshYZzZe7~d9I!2uPKdU-*IXDdHo6m5A_7zbOvL6qY< zEHE?+OEd&9^tV&a$A9D=f^pxHI(InZ}*F``so_s_s&7PgPbj$Z}4th#V>+PvJtSj0{RuGJ|b? z1E6ks{2Oms%kq&Z=ejh4v%<)lmm5U9|La+?D!y&i!PdGiGq)XERk3=FQD7#r*yld{;;06JUaV}SwYtS0Uga>ta4OBdn#0tZFtaC-V80><7jWm3wdP>fCQ)!&$p(%#=-v`Am4Av$Daaf=DLS$IfGa&^kZZ62uxtA$j!rW^>(xQgnN-(MwI z5!^jB7cbs6Ba5lIHO8hPH;8@TxJ+_!3al}LkS@QAf6NFla_PX~Nbd@r25_)+zV1r# z$tG#g807G|_NX(z(Q=Th2S$vVD=-CS)GTLGmY1+NAfivcrX*``mau`Y%|-F~`MGLu zADPJj?auss(E#>lu@^JT+2GY~+M&az-{O)#0HG1N?g*qvGX=o{`O_d+AX~eD?@y}~ z@cemI1fE}ht{!SICo5CM^U{itl^Hs}irjL9Z!4;yG)sAu#VH+Ils^oxZ>^lp;c^v# zNl`RhfSHp%O)PUR%|fc=LeHiJz-qId2AI~IrmPv(x~KQ|pZE77gAn!rsQ}pO<^F7W zH=Lt<=*SQ^EfgNuKs3wF+#)a-OyWF+lOtAe1J(rFjxz&(%5 zvLlF#X3%H8>lApqS}Uxt!C6(`D2fzAAcO} zt$8gG{M=KIA5CX|Q$+#MN_inbw9?MCn@ewh_mlkddZh3r(H_kLmE=PphFcyG7T1OZ zRJmkiOYp7_W=C4IX^%LB`$)OP1wYBma}2NAj45aP6RXNZZYS$e5l+|h$kGesl4 zzu)AwJhvj>l#F9UNR=##5vW;!R5D{W&|cP-?A z4>h}NxRzTgw`B^*#22iqdw{eum$s^Y*7ei0hzZ+^9lM9#k7<^BYHuAD`^f6sHNLp@ zqu|bl+)#N5G+N5sJ!gx?Jz}0s?#Dq=OA!Z1v3buPE735@v z-&VfI(nA{@xgzSShse72$c2&NHO(BoxjpO08tZxQ-o>a)%CadV)-JD2mfk8`AT7O> zJRqmSaU8SIX`&kf?Q7;2&b@V-EFSO^*Q|aa*serV;u^?|*3yuK8+k9lQAhK>} zQB86PtjnL)0_(D-kHET`6`rZqfl1POtYn+=Bl^)S!noTIcb7E|#NEv->XrvDxiqH; zVE2`ejNMs-KG?i^4PNy;_Yj7cKhA_g(6ZdrP-by@SscP_*DNqkYFy>>Oz~10K7~hg zBY14n*w=CcVWt!r*5+J(6A(&6XrKJN#I%Lbz9sU}qtd$=P-WWOil$-^U%ANeon6h} zQ@NrVVgrZVFC3W-!GUGT4NDH6fGT8hI9a&?#2bJMO$O-5`8FDoq2<+kN&pNF3&Zhj zhjNjys)pQWqLEG*9%RH$ec=?Y^%mLE4lPzcp?|MjWjwu$pL{N?byC`t#eS}(kIPDo zxWH`Rn!D=c(-@QnP=(YTPU75l`0Zq{oT{xsmZ1DX$$k!Ur)tm&~75p5zKadNF5 z8tQ12l{cv&1}!h^tIIUEAhcY)zGYooN?G3!c9uVc<&ew8!vv6DKibdzLe|=rkV-WR zJIl>gxFM25u(`{UO|&KHGa+|5h8q+mi$ASZFi~4eRXEVAW{qquRnI}MTBSKl(GocI zv%-}p2ym#DtP_DmwaEk7qung!T&~epm6#N&S(ek)y8d*Y^VfOwXFb*;kS;gxNYqO+ z4kADG3om@F&lq-6}6kfdd!qH_D%yu*|S~Oj=P`&)KM7uXhBL{KH91P z^6z!Z<4wZTUs-I!yQ#@$cR5ULKZbv@9u~Kn$@kAp+e2;md;GLTfgrCe$n&pMG=Hq*Ji6;%q39v%fa zZ7l3Cm3|&K6Kq;~5h<7|bBbqE?=1Z%(ht_I$w2qU-*GZbefhp^b9WyU)$ev@q!94m zBN^6nC~n!j5It0~D6vY-(xPRD29Wdi_CZwzAeXFq9p$>~Pq_7XaO=jXnl`Ww%G8;~ zA*xA#+-$y#{JjIjk_K`|X0j=_Be<*P3wauK<|fO(E4#fJ_t<@WU%%nJ-DJmkECUO4 z#8C9y8l0li4%>f15&92MqFZP|a#Ft+YQ{r%qp6%(7IMLE$ci-cJHQj^S%jzDF!dWKZ+tIZQa_qWITG?xtbg)Ne==!x#8#|aV`Gw+Ct!fcRWS7@ zcf8pMa<@zwC-c#9hckw>X$m99D@!C-FB*2=jdCM*+IsXeuHTWivYovbW4)FON58`M zL=($a-dBFa1qVaCE3}nEO=+`wQ8wxBtmim(R?4yszOs4}dVNHP>xdxBEizEU&T=-| z^!gkTBMgP6_ik}cCqHfk(z!w{m4IKWBWnj42q8=b?D}I&z-lAH1_;d|1|yZM-UGk zM4>15j=J|cP7+dFcDI26bA3Mb-hb3w=+SwR>BT{}%K|kzl*l5#52;+2gdx2fqi*U8 z%!?v&KGt+|TIcFCRWUIX@~}iE#$22JXz6Mme&r1JgXE6Sr&AV7Mu*Q@-af|9@4~Kx zOpYr{szksIy+m$W`qTvt$+)uj)E1YQkM17+|0SS6Nt9jC}$qFZUL29 zluI}mIWBZWwq8(J8S!adMHotn%q6776P!>LGU;*|@Yb9K+$>r7IW6gsMKGgiW zF7XoGe585f9zA1(I;c8x>En^ohJ;yn^I+!2Og)5*DMJuM18hrSTP4c34-I|kbQh-2 zhB(puI}%prrk_i7M)47r?rzkWSrm*-hkq{bv7o-pYll%^_AED{1@D%?E+z?sebsglFc^1M;R}&tvo10EwDWA;Ta=8gr z(t38d;pFxVP3h)h%N_EbdQbkn6}erZ{v9qdXcHQz&(00h9rRG=RCdCDBP8KB~N% z!UUxt*jxEF3r25F4;m=||a&Jb}j`E`9yb zR&)?P=JAO{flFjv$}Lmi$g*U~?8qFLZEY)9ah4^j=x|=;gadskD_J)}$UNwlCMfFQ zgOp_e5yH8})$J;ib```6@BFiH5p;ONvUY6*kJ5ux7$rKwiCb2;7sF!#``DBvK(iy< zIQOVgIpi)fCjR^egUiVqG{txKEO~)k>Xv{ocOsOJypt%CV}}zhFC69t%PKqEVEKMn zexwt|5?#%b3g(##$CrFoA*ATwPt>1(hSl6+dV-@X5A$^op!~+G>KIws>(VW&V165n zJ~D)soB=G$VDA4VG5j4~vi$T`;{aS@SxbgXEbny4Gni|qpuE1eU^_cpVj?0sI=}vC zS1CrXFJ(aNmO@bEp~Dpsx>=ON?2_bXeYveaMsN ztZ{>=V|~F-ubko9-CS+iOb%z;$f5u+Is)x`u6xmBjeRS1Y~NL)9XfIj7P((Qv>o2L z+}tWGC*3jM|K$VZr0=G|l++drq|-E^VeNBP(OG|l;=b=ArojDU zO9PvOJS{6T2wGRJ+L7ZJ$R4u7X50=l%QA=Hb=NH&W0nZh8B$jRVKDO1Ws) zi@|3YFXxkGiFh182~r10E|TG3SccS-A1ImSVE_(L<>yRrIzVwzpB=Gw^1CQ*1I(Ja zz#n+a_#w(1mSlBiSrp?@lz?eij@2xRYjyy;Qj-;E7}rM@1xY`EUCDP>M`}HWV;+W8 z$v?{;Isi;bE9C&NWQi;>I-}?wJHVuwR~x`eW-ebsHU`Kw^k?BFpavB^}G8vB`MEzue>JBhYBzx1S%CA3+A>zq0aNzj{#g)IZ zLwRab796iIueEJ%|dPq-!+CDe+RW-NB zHT!W!75dY`+_$;Bsq3k6KIHdft9x=+2#L%9IAe;O)%F3bMrl%>m~lpxv+1z3xVbrk zE**6r=^PL=TEsUnbAaUfKKwr9ZP%j$iNv& zz%_6l%~KpF#-7Fbb9;vM4UNtp&cqfuX9g~$zO&4wsj>4B7tw%oH@9s{u=W5Cb9%RB z8q9aY#gke(#iTKeHaY)%1YkI(m@UV$=NJa%z3*D`1ulG^g* zFu9lS;c}yXxL4e73gMC5PUARA+5k_8n&$!39-UNJLP-aRCM`g~%<#C@4DK|a;ifl> zX$D|srAQUvUlPJ*YShOhvirT+gmt+uO!o9MZ!L?7HHZn9iOrRfarkpSi6B&*)mR2w zoFtozi4GKtH^QLX#`w;ogDKkx{LZy*`BPgI_)Mapye+1iYl>M`0BA|QCrxF)#(k_Fh}HOJB6|UkO4eN(;qmJG`pueHm}&TVh9ik2TQjB5r_-8L8r+X zQ3QO211>DEew8i>DzR{o?t2>l@+z0)6(eL3k^jESOtr?XZZ}VgJ^V_8GHvAO&TewB zCGTdxx5wkqwiVuH)=E~3^Yyz;m@FyUmhe^s(LkG+^#M3|z5!(-4Q7uuipF_h|LtxM zc8|MPb63H(p}fvDYudvAbJOZ*v3cvbVQ?GP5e{(oa@c6J7*ftD>l66Am)~DZZVu7i zoAQWbwzV1|rR3{ow#FTHNV0(&Sv+Y8`0L@X!?b)PhKx*+$7D}ZZxaXp@6=1XjC;bc zntBeIK=H%fJ@?lU8#*OrOW|kk@1APT#0(K}3Ga8=A7~Wr?wUenwtA;FIHO8@P&l`p zveA}A^JY^X{C!?ZM-vx6*|g;bfvsFI$V7rjR$nqHM(R=j1Rz>)OUE>Md&e|mZGt14 zzfT*++wI)Qy=7wapGoArucE>c0mn6eU&g?Wz*kNZ-hKR&O>>vRZEcHN=WyZ1g^_G` z&*{I~>ThmnUxlpZk??qPu+Sieac^ZI%7R06@aOL7k@zf59MvB<#^4)PPQt?9+^+J+#|Bx1^$n|lv>w0q(qj_mw zxw|iOV0Lwwpo7np@&#_N>n=&z!R)lKMUGPb42U$hq+?APg;ReNior0y`1EM8a2%`6 z=mCmuR{Jr+Mr$20rdNJ$>$tIk~-CO{dGSrNN>J zSsQ~xcBJag^qS52RBg+M`nLZUQmdnTug4R>RtVQ`s z>lzmlkb?I11csdpi3NwH+0$vQlSRd_e%OpYzy9-50K?_tmp z$FB7fY-OJp#Da)YMG@=bAQRp^ERN9WhApJX^*>w7U<=!K`)7=huO=qm?`sQdpF0AX zyOrjV*cf^ECNO>F#i=i!2W{K!7t;JJ-X0rj=j+yGZXPDXi{QX=tKBXh26$|x?O=SG z-@efIb?=*)-3YJLJSokvx}0!&9$TIOm+?7C@kC2)!GICW&wloi5HduSy;sV&<0j>s zOqsGrj#0gQ#d15gm|R2kXuLg=Gxo{fyB~IN$g+SV9v8VC4|f~jy9|?81V-CeAKg<2 z+i~R;?`In(k5EMH2-v~l$hQxQu{d^H=V6qaeqyx7j99w4*bdLjjL$~7`uMhdRMtLZT#_SUnk=Hf}RP!U5} z;~3cQ1@Gu_FIa)4d>7cYD=yTBmJIuJyg)~xjWk{u-+I6claI8x;48L$AYNcds_lNf z;Qqy12KR_szA_Fw>Q<~;#mZMGTL1SJ@?GF!VS}6(7-w6)3*%dZ?LzaD&21b}uygl& zfd?zwZ9w|wn}BVG^V+&NiDxE&?BGlr=lh=PiP*h~;M@+@G=6_>mCJo9vEHr6%}iVo zU}ANA@>2AHh;%xaA>?7XWL&E!A~;@Z?hipQ4>9$vQRG(yYmZRgtYaELVk zv3>Lbi;4k;{n%zzKaZ=((|;ZjmSWl#QpvUP&4}~F_We}K+ZCu~QtZEGV(cJ&@_ois zqEl`xm8m62JXc&nA0|g2(ph{y_MKy0bHM-N_8WWq&3(K1_|-gZ2R@RI+`!AlP0LoB zT4MmRwzb8vkgcgbzFVU_E-Qh(4w?|Zx*cv#i`JS=-O$RPM}i_JzkN8sb?di9pAq_? z_4~Z^S~m9p)@4sUHu-?ojjV3gle2|^XHf2L-1e@4=bOfE_S_7vF zM=Cq&gOguyht18u*uL}Brjqe|alEn5cY;F@^Xqr>UCw~^uqChtt#5e*2G|cKHZd&` z9=|X9#hD0Vi8?3Drpwf7WX79r7v=pcj-&X*0~})hi7_M$RLpI4@#i4OKNPzs8@JJA z5M$r!mx(j1GmUbXg#GT|S>8}}Mpw)uVQ^s`>mdpUvE#FwC^Tt zwX2SK+w9kNyZxaYyPo%Ct2Z)*zyE)(-X-UH7*-P7%EcY$`(eGM-a=0TWCa(Qb`T&5 zdJ<&saj{65b!LY?wk+#Ok;P(*EN{g=4sd8Mp7%TJZF{U2zmyq#eBK;$#r~g>G|tXP z1PniS)EQtnMjf9YZlet8qdqdcaPiq?-8fHh@mtyNOy&@p$65w+)psUq8Bdtu;rIsP zEuX{sm1BoDIQ1(F$C{yfi`&htX^62$alCz#KG^prgZ26-8}_Z|nx@$F=bH1`R-cB^ z?DI}@JBFDk4c6;^rp5b5?6igVhe_U&;tgZ5yJ}L7#DB#|$pnpIfd9@%U7@_Z2$JVe29M-)Vxov8ZSKGyVZcLvbw>W|Hm17+vEaw zSo8Is|F63+Op~uc9Q&}rO^=%Z?0MiJ{C$+e2+pRi&D9Y*TNwJ(!D(oyicm^6^sv7X zI_cbhCQe@zO+7KFsVjoELBRgWqeVCICe7%>ZXciT-P&q|)7HkPSx3)Z zNo>2J#9A^mDH}2%3ft~rq#T>aWL0Otdi&x3cWx{zeU7j<4y)U|T7qqjmO#wsn!SBR z(5T(L!y{>D@Bw3}H{&vK#dwE8Vt~x<=kH?j{ZwlSOU>B7719uxEfwD`?TsxX$THMZ zr#H`J>5N39eV&g(IsA-f^d@4{%bO;zYqPTQJzy3~p4EQ@I-#<@qr`l)-OR|P$~Wkd zpUMq*whR*T$zjFvMwD;WAL%qbEL(-o0ITc>5Qe||ct@IZa3Gz6`_D`Y&!TB-1{L+m zY~pVIA&U>c@&{BKn)_+AbJthfNcyL`SyhZ*wS9|VFL(U&ez-Mg5V5ra;Kz?NW5C4f zCe>h*4Hr!dA#dsRdwR#VPC0mnS=+sR`cNV19##xp z(Z2RXKU;+N==aFrwLh_aEq>j(t;6!qOqejx;7{2cf2{}$f2X<~PO2)B(!U94Sxw3}A%IK!=$c+}h8AIC1VFV=u$IaDcA|-w*UU};0IGG@uuUv} zzCQf6aF-qHRKVE2u!=D~&2p>-(>+1=?=ZAeDFt`a_J&|-J5F)dPIv3#xoh?oemtwn z&A7&G9ay*OE)09T?-U)^|9!s(CQXLx0~uq7v70tuArq zqxJ+4@*LkHGxv!+eD?Bt;_Dob$7i~sJqL1@tn^_g8G{BAn4|+1@XTp!o_)DN>?=-= zJ}`8%)6HA8V3@Dpj%$=segax1hoRlzSp#6B1a+a3Zqs zlMtZ>u+Hk&YCf#Y{6D}MHPg#l9DmFRK0p~2!_3+&+{EUAe8up>vA@=Z`_Q~)NK1F! z*!`aBh$eSKb0-DLQnK_^Rj|G}NQSou#$X@Hcw6Bb))M7sNCD<6>Jp8B%${^2P^eEf{N@eaz%fd*0jz5rVL+L4jzW6c`f zY^FfCeOz5El-(O^yDQSS#6oBCsqRv@s>VJ|Z3-?P_kP(f59FwCwYEya<>OniEy4hQ zdav3d4e)1dM<{;RP*DsEG62vF!=l~a0!m^g*s(8SgU1~Z{=^8j`t%I?A3#OUZ%Y6Q zl6Twbe~)l&*oFc&p7ntV#=c+z_R^l~z6-Mld^z<4oeje#mTx};felS_Ue`S?iq`Jm z`zDUDZ#yg6#?+MaTn)>XEX%*)iorDb+?)<3mkVOEF@C~1ILxT?ZrQ$a*meqEMzZ7` zreO)a7c?q9!VB+aARo`XpgnQRgPj4uQxb}#)f{0jZqBv;KLncf5_}n4mQ25bzacFo zVEXWOvZ{o?fclR43!ZfIHx(eB{O<%U#}^|p&Fox1vBn{8;7It&H~tq}_%thXdb+Og zo}xb{?7lp7;h-~N_w|(;Q{$Bb|7$|n^GtJ^AiWsZ+&3QqIK1Kolc6W)6W}pZ9VR#` zzQB_S12g?f)ue!0@I~`ndzwAFVo=$EW`YFbYy0_J(mEUC6QmF0!`n^JI{3M_+uQaG ztp+x&2@5Ifg6(L+Kz${yFou&pp8`RI4on6L-Bm&2qBIJ1FLM?gx=s6SyJ3|N*uJ+H1{eUI4m zl{%lSYqvMwRo_?HVo$Hw!4^wf{Ti_Ceh(3LO1X(hb6?GxHN?IXu-fyxWEaaso&c}? z=KW!|Iuu9X1UDZKER-1_CSuVYtZUzP0$6Iw<}@g0xvIcKEP7a9`1rL!!&y5Kd+u$A z)pr8g$!TPdx4Y%6X}9AnJMI7kQZtNw+vIz8Jyu%trnb$0!gd+>OS}EzF-?7)usu3L z#5&e&kB*8hA>ZS|v{cC7r^6B%hOBCG=&P2XYQpr`(!(n|o@cuu5yqA`TZBZIemRj^ zHF5;9&RmTcic5O+>A`KW6auX@Q;3zj~}{&^+e1Xt%i&o82o0U}P+7 zw+mym)5>hiGaJpvo?h*u9PDi?#jL*4xW*2vD#ovm02UT#+s?mFRGsazKispuY+rKo zWxW85tRKUzxZSU(*vi`hPl@{-J3Ory_R6~z0^;kZ5ltX&9g1KdcAmTF+q=%)ylhP} zqb~2Z!g1L2y^oKN%UxonpM7!4HhRywkz^>YJGIHf^rsUkzt)FSp8bjOXk!2-?3knqYgKtv|R#=LDb_b0kx^6&fQ(+VqLG4{erK(x72z#i?#--q{KWDGR83H z)@P(KaD}f@c2a9jrG8;)W^kB@{13Rgl~$b}zf`Miz5QTPOGcy#%eebX>`m|f=j8V` zo?t0&zKPkZ5cTUdwMK6(bU5p@{v99+pAUtm+uShI`lm4V5A}cSaah_vPt-)l1oxTQ zhxZmT=LtVmbZo+-VddjJD*Cdv{Jql#IcaD8(6Zae$qONL-x7AMn~15u-(Xz5zBKIe~y}VEW2GO%CJR_S;v) zR&2@_DPxr#C6qR9*rSxYo;H(f)||%mU z-s95!TFeNH5Qv+-Qy<(5D(TZmVT{{cKnk{3p-uozu|B;=++!7tQI^q4Cm#17>F{BXCRIL-I673!o}o9 zKx-8z|G)-rRo#AO?(DvkZ4?tOrY~M`!oxH_Kg=tyz|2@Poa1(B6G2L_lKN+9aQeS%t<+YE|^{j7cVx(Oh39K1~os3FuN3F3!B#z&{hf8i z;pX`ikp=Yet@?U`G1yk1^?VVX+r(IT&4sm$-MFQPQ>cYW4h5bNW9cj=)C9s=Pw4@b zomQvfP*_vFmXRWJ5w2E^vhPO6|IhWb+pDhU-Hh4`K;AFbV1dWj!#S({9VRPNg%)^- z9o$WEha-++aFi5lf$>BHt$o+%5e9VZ?vbg}7D$GDQGEFK4J71;hJ|;r@CZ5EeD%C* zB*h!zg$cMWB-m`p3kKi_iL$a+@dNv?ny$}oYEQ3u^-aodxU-dJ!5&P!%CwqoH~+Rx zF~DcX8aOup#aF$0xx)k4T|0aXrdcdw`Q-#?_WwPu+tX*p>hAxpa9i1Do^ykQUlB;& z<~omw{gMn#lSeF=!^9a_NGsdGxvaQ7UBcjQBf-dg+5UEO8EH{iz}mJi5M#lN?KX?e z!gkCZR;_xATKE82K&HRh0`~SZiZ7V8tK)jR$^9;#R+pghT>Ow47WPgt>_)}Dy19mH z5d#ZQ-1_(_uK0!hy}AVq(oDFkI2q*qduD1zll|Oo6>ID7)3%l+ns(5Oy}QSDXG6pC zOn(@dg*?+9PRhHp`+b4Up?aViE8crzUs|Qd1hM&IIjManPnSo!`TEE!3*X`SqMWl1 zEl@dl;DIeMpmHG8$e=^32nU#nG`SCJg&QDL>?=pG(bySbm3c$ftn3+(1%3vAbWiw%?Wo(BiyWh3f z#PD!iio{oT0$5kBR@nh?*%Tx4%3^d^IXOb<6^rj)#_O`cI?+5H#43j)J*NdnpXUg@ zZ&Omi1)z6?OY{E~;VxENY>wxG4;Dy{zi$Jju`4Lk#BfAe9|I&_IIG6yg~lW|53!@G zK5-_3-DX*?Y`4>}yztxFf`C-n^8>%F`gz#x?sD-o6ffbCO)M}VyE%<7!xrgEh*hoz z6wZ{2RWHYkK?GO*Ec*QWqKU27>!p-AynDw+1?gQ*TsyaEi)_~kQ@h}B@>5cyd_HD? z1&5LwTbqd`xpG&%_>XRjQ_Wfb7I>5$6Y39V&+RfU4{om}MHK$DS_0VqIP1fV3*S0d zubIw}?F-2E{HnXPTZGK2muRV*Xw>A6OR|st;IeGd8Fic1qSFUvGmWPT8Tqo@ob6jx zad0fI2@I1XM$iZemgQ#r94-q0J?^R1S`iRC4|GChk?AlD2WT2V+|uF(oLK#GbuK`= zO8Wcc+_eknt&~7+&3m+i17)pp7Zj@s)ejahxn{Wme9$E_sqI9+o$6JD9_sKM`>}Y$t;JQOYli zz^BpC`tjPTsl2aqX@TrzCtUX2CD%zQ0vAXDX(~44$O6>M6>JzNUOCX_W{X+-9tr*L zIL$8G8o(Lo-Y{zkkOYozBiYx0W@f`>Krs)FGBH!@FTlopQSBy<>uoJ2Pd~$WRm%z| zQDbSFX|~_eA=ZdMwh^#v%w6t@;0$Ed?5MnuLeJ5iwxa{1#x471`JYJkGaw zo@9WJ>pptz+j@AGz0-S`3T*)G;cEHd-Qx}k4gqraVCGoiBSO@d?REQlsLXk=kR5NN zWoUo;E}L##(i+|$@jS+jv4GF>&CDt@+XZx6WoA$^@JlVKYko`go--EF#^)DfS)D9p z0nhj849I@xI)femcW?nsJ5YkRFeo4FTi;b?e-72PuS@FT?Gg6q9kcz@rtJWrF|6J3 zG4{4C$39DbH}rVAe5kyY}#f8LWw>;MGUluC6o}W z?aAqC7HJQC!RG&iDGTnPKcNTu1U=VjU_E_4>E4eM;E-1dBnz1@5b%M#?x zZ*2sUGi^}Ff9L+kV#W6!7;k%d|Dv(1^nL^TZ3}@lws_Clx_&G^ko&;o1(;kvJr6nW zeBM~~N4wjxH7<0_bJ3qGQr^Xed4l|qhppp0dbjZ4n&8q7;Ay~E?e_VpY4-IX#0lf^ zG761U*bMIiEoY$62o4xNe3*19);Hi-Te$zNG2cbu_*k$PtZ;W3o9zP9)q}omUjx*& z#-7Uy;kq+#@j5q{ZBd+l%=HTF6C)GS370;#{d1i3kK^cEN(EaEVIb}$b<9U*VGEv- zSCq7BAR}IEy6@}u^Mtw1KzkboWIt?d69brG<8*`0!rKaya9hT_+fy4BW?wL|mu#c6 z@Usa2kLVwN*$I`{&=DJElC7|8+L#Nd(4nzK7-Laj9SKdz?L5E4B+@;;bnzLtZB=?K8l>d*=LD?x| z1w^}9T}P~ic6UJf>{gs<+@Qs0XT7tZclUefVJl(v@F)$Apo`)&h2@pk$0ogz*)M2S z`R@t!ds+F=M)uv5H|+GjYc)=&738Ly1+0`HWh2*LWcRgZUE#4|-PYwFwLSqy&qfo-tw?>xJW_k;aV`F{i&ZGNg9bDZ12-Uk(Arq;tj$L9-6I63e3hOPfgb+Mn* zZfuct-04@zw)zCb8gCH1R5vgO7(}%RD99fZeREiIz0? z^PFrTxz9Z@Zy4HqY2m-aLqN?|u>tJfscs*Cr}ZVwaP{-=ZZpJvhW-uH+qoLUhUG1w zuJ*Ri_GSx}+1@^~<6V17<-P#~uW=@@ra;n-NU;KWgc)#IWv@12-B3q-X|sn%5ZLX> zhgTwv-mt~h&&<1xR>CI*Rwe_EbIoTv&+?Z%*&D{YnwojGi^bY*_Z3jL@QH zHjH;}q+Zr?6VxT^n}uNg4LU=s{<`tp?3ooAEG9d0eSjEioE10`JCp2c*xdcqXxF<4 zScP^3#cj6zj>DoIyI*;wW5+A*yukyB?$JwDxf328N;x0y2F$z!uFT}?9ikYN@%Gs# z0wis60FoY@Mcw3UDdg+`Mm@Mrx5<~J$X?bi1g}9O-( z)riw?8W+!QcdA>+&Tg@_Q{@8HNKM%n-V2FHqiRfeI~}*YHYK+Ukim9Y&OvP z(Rqc>Uz-QNw_j>ki^|wQ?0+dSHxT+hPtm$amiHxJ-iCUg&P3Mi!aZ)8*LoXA_w!kt zcCQhpZ)e%vuT$JK6hP72x0XYs=h+s`j&nWtj>q;sTyVZ|wnzBHERJ^r$sWct7Iy+1 zXH2xb!0vubj|ZCFd30?Z1l-(RCf)%fXCvHw1W1i4TK8=A55vc|@yvX8!`R2d*j@92 z-}$x~FcrRQ?l{buJ_!7|pJ-Tn_z*sK_5SeZ)l{aQGiUEE9)%5tnv`8ZD8HmSj0W0Ry#7IyQ^+3F8y`)6O+V5|8u;cYD*_C#EMiRltbd zLuacEkiV{A+uAsGV7It5j&sA3YxTZ0j|GKGIPmR(^4Vii zJP^5G=-4*LX%btxz_DZUWkBtefx>ZomlX%28;y9wR z%X!9ac1;i#cX!nfyKvPG*8eWm?b;jxSBE2zZE!50wUSToy--sg z*$scF8?0^iTV_5Yq|HD3o`RkTZMFBW%L8C$1o%H$`a^L9<+<%8aDTeF*>o;*cyh7e z-{&IW?eQ65i-V6(XMi)b-Zp3Gw@sR}^Ru9CI6JulaN&oyvwvC#yq(GAvf=G44rLkk zso|F}@c*{NVPR9W+IWEXLtxxqH&uvHa=x-VcPBsY(-Q3UJC0kt89G2%SgiIDoodGI z{dqq(|D6GNwRZgGINx5ukl{r$Ij2n2$SC5E- z;7JL-$&ZR^Tf(&S%?o3fZ=X71u1Lp3FPFc)b;pV@{o#mfG4mNY~X(3N#l@#PC0+n4=8`q#yM-oX<)G`g@6-FRz#_d&j7- zy{W9g8mzPCNPzp%7K|wxMrw@QKz+2!XMxKOBFCF!Yz%x11UolIzMz{goXW$rv*UR9GK02?~=y9z}L zL;JJD%)`O&z7>AzZS^X_EOmJI4#!ltHwOcaoz>2Boe^W$ zS4Iw1)5TxW?VHcGZ>*6B&s6OLmZUhxTU~14zJ}d?NoXv9;lPjS33=E=frl~^_JL>8 zkD=BKEhrdl=pXY;`Xsh5vE0d=INfgOKKd5hDbNkJf}HDmG=u$lJmI$oL!TSdvspDj z8=TE(+oz42?`B!;KKCQLfAq*MYVA5A-o+HsV^KeT5@2zT1zhZg8w6w^n`1#hJY%w3 zW{Frxd)d6^AFKNeF!kWe=ScJJJO+MpVgswpO-yBK#d#v8*c*N|cSrlDM<^QyD-0se zyWe?x*domya1b@*gMyz5bkyUVBsL5pWPh+}c5z+YV2{V*ioQU-^9Whn56s-B+WxX*JUx`)zCNg)s1j`nBaJiF_M+5C#=muMR6?}>gA$Tb7>$gLj-7q8@tjGw^Kh)DHmxYQwhOi_a@w-(WaY?~v zN;$$T8;kRhCsTS(xp|h&o^lYDZIZoan*FDt7JNP#aJEl5<&qBQB*qALYwI7)k^WG?Rnw&`xIuktOAGCLLsIb#Ek; z!vh+$pt!RaU{7)fj%$wLTIJg-LA&t6;WT*arAame;)(1E zQChvG2j0Ds$@W<41pM12@u@u{n-ARO5t}_tz9Fxh^2k-`fi?EBf=|XGh>tnT-5g^z9Z%xmJ_uEb^~OFE zvH9#le%J`DqD{&pMQoVpMmLj!?$FRKr;cDA;heP$w;s7-?J!PWvg^#p)C1qS)Arcf z2H$za8QI(B1)Q*lW{^}^*%1|ESn>l$dirWhYUdbw8(1qK*L--*#N=h-Ne{1N2tLTG zds62tdC?BqEpL%696ATgZXZ|B0kK<64HDEBW^g!guDdhI#7I)w%Jnlh5x&8hqdm z_e~9FlXG(gdu3a@`>%a!yLmrw*f^Fw*jEh`FEJX$xA4c|mv-S27$4TX2k)b)G_8Nw zHLDDw&z&sF)>F94L)*01_fQvYRD&Fkl`)|jfG9q6#OabBGVY0wqBpt`4xXE2gKG-> z;z>Pf^SQf({T;?`vlpLs0k(%NKJO}ROAeUsg2UEcHZSAP;{Rd&pjv7!@}PdS8^9Io zd%M*K_ARa)=C(dyx9g9GD_Ip*9Ks44YDEYR-?(;gt6HnBL$7ws;uaQgb2}gNg0r=3 z*EIe*Ki^t?_DFmt$LQUR@`da6KBh7Vte$TkM)BOIK zVz&+`(2@!Sm$QG2y?vHk`x|XdO%5JqkJGpL377ImJ#&n~%txL5z53OTtnl@vG%|5V z!Xs0j;P)+&JHeU;j+OCgL&#GSVFM;!<;?cS9<-m9E&Ny-5+5e~`-Uu7yPlhXbnx%k zU5(7*^mCU@h?YG1E*B%rqmQkUAUN|8XhQ-7XAv=QOkR1-1;3ex+nEjVAjio^1aQD_ z7Vav0TM4htu=zIv$8A|IUorbt4}9F`JD!2f%rVkdR&6;t;FbF&z%?-(Fr8v#Wwn`W zTxQ=^VpL`ydBU+=ENlh-9g%p$q+lGVoBy604`~hDBR7QgmeHI!aL)!0XwCvkLm8(E zuMIDRv&g8*54g($bj>1f2&cV&2EBp-i;mHYeZv7ctR39JRTz9@b$@8~GxR_<;B<5> zjP1jTVvHjQeg=;nutBk|zt|2ZMk*HmD(kAtJAGKC9S&_%Y(X-{Xm8Vw#+INulaGHr zZ@)?8?5u1oWRcRE#b4|g$M{XTOEm^mV{rzw20IZ6P4x`fY$BP6y&%qBM!!$7G*<=}P z+2;?w6WJ!bq0DV_kY6IrHzbg_P?v*z5wXTuaV?f}u3-qPUf))_+Q}9Ngiw2zn+|I+ z)9s`AIEb3&Vn0}0L`m;&IR`2r;I74Fm|wol51@dRq{w8zmPCxSXXdu81sH+$S?tdm zBgMcSOVN;|n141M0T>8ln$>iiyLemKQ`B()29mwJfMBG;j@UYu=}R9B@)%%%(2Pm>`YKu13)C@wnuGA@V97OkNBr4fI|3Wxn~CXP z=Jih>yMr~?$J_~T94)ry=I?1IH9!CQR3P~IQ)8W&Ew)OpVCJwCx(675z$|u?Z%oqQ z|971-OSlCw`w-eD-$)qB7u&lj&Kp)xO+K-UcbgFwN^HY|ueaF0FO>ek@$Rwajq-8z zn4beze0i=b^Xzuhi`hB^UwrUiHj{hKHG2?U>@IRXe)+epYv7M}?b5alIOJU!=igWk z{D1`cQgGP2v1xg9o2^v4Uo1ZV4+;dfjZNqMt*LO&e~_hv$Yl3}vZ?!xmU;Mc36MI7 zR1Qp*y?tCixXoYq_rGBRcfQ}uKM9Ds|6c2YZBGbPb}*>5>R1WEbKvYRJ1OPx_J1(@ zV}Zy{MMe2$(zJKah$N%Vy=R<459M_e-I#I!4}SfiUuUnonfd?ynr5vbEPV>>9eg90|B@T>sf0 z#}`N7Nio;Q{QS-kV=Z?fKGb^X-M`Tv5H4;=qKA}1eT0fyp!cb^R? z<+k@RYjSOYU+yLj*Wu@(97Hj;lEKkWe>InN3o8zIxXBki%x}MW;pn+4C7KDs~2tb;%fxND7%-?hZWk%oyO18S-} zVuI>NRCD0__l~uu89{1n(0~J9KUd|>yYKw8-5Rd`3p+b-^!ox#@lpnxrh9^#uiM26W=*90Je#X9#*N6Y# z6j-b(PL%yykI!BSk$%p#L>N25p|AZrAD^4=k$VYT>&^-@Y-KkfpM4RUq=VN7s`|9Wgrt~ z_CA4j#RWUsm4CDHorTB9LIe*k5R6{fjkw_SVuc63_X=I?cxjUBz>Nk*20#7tv zV3x`9Z~3R@)NZfXp2#M^5*s1QZvm_WLw?`#7b|IdztzEDP`I)z{tS)jw=j41eMJxY zZbQ)Eg1MY4kx!7r3+N^G77bBYqNiPZpJ@KXFo*ryxPzYw@;$cp@jEz9-lpm+F05Rs z%^o-V8|1@rSr~ZmUKx==r?BCMMM9ube1cf@O4|tJ&Au6fEjj6ud8@<$E_@8BxFr;v{L1uJRAx|VO zRPyZB+gqF1ullcambnRvF9fCI!sV`Ceh1@ZF=|-PeSCg3Ya7IbeHd8CJYKww`|v`q z-k(11no+ddK<@1FM!v;6uq|y%8rew9GFFzk?-uF|?}f{YXb>b^AZ_edi%G0-p(h>} zy3dAqVqA)o$3`duXkEX*RjR++- z;c#kymS}V3;zCTzhnrM4mj8M+GF+!SEU=E6v2W|VnT zI}cviIi%sea5D#NZcW30|I7N7yBRWcaCh?N8YJbs-&QY3i4$skiUsd)#pl!TT99g_ zFj5k7*@7Z}7+$SD6_=##6+*OPs`a4D+}*V#*+IUup^m#n- zp10K4kZT*fP<%u@oC}tjg9?=2(4v2r7eQbKF8C8zzvkCJu+ZA5X7Ktdp8TY{eKsyBV14C* zi6a(?&#O-?)?ox5-B*zLVFbK$X2bi&v%qa z!8eazxG?xx{EAQc!f#!)YZr2NK%T)q#rX<;-DTs(5*Xk@_08+ysdzaJ9%eMF=~E$k zWOl?+KQJn^d{nr8$z;h^4Femoq%{J!bK|$#~F}bg^|e4(bN*@aPlkjvH13Heaj8 z)>zE}?31O-AJ9&g1B+TFsmLY%Z{sC!p<=NB0B@zSrE?mfD-DKDQ!JwnkJI zpNLV^*_N9rZ{89q%>Zw3f3=84b_P|G?Z=f$G(RpJ`jKxP?)rMTej#wtryTbt(5*U0 z2`w$Vg{PS7K3pW+o7!MCTF~?yuh&&q+T)Kb`rmIgdSss1gYxoKwz|9tY{8^uEe7*> z6^0hzLcOGud}d@yPsk(TBwl$k%&fhQ!w1$Q))|=f+e6iWCL=T5@BFEbK*VapYQ3Yx z4~SmR9UdQVt$o;qmFH&I=S%a(;Sbx9NvxX4f8t9XV3Ht>sonP0szB2Q}LW&v2oms zhu^WYW(AXXI9B*T+r9=?>So5R>9w-Pf|;8`tI*g8x=oK5@*9R9Z(7{2eQ_V0`G|5G zhh4@CgWA`-V{>mb`*nT?h;Q72R(avj_J6zG@*uHSDOU69!$jl%i`szzw0s^iqRT9H zKY};!;5EF?ovRaK%6iXFtZVh794e=;PRFw(-v@T&CGhjsxyF-WyI!$~7Iud1CdCNz z=ut3nm-I=POtvS^)v1hPGK6Uf&Cc7K!S8HuC%_NGanuG>)Va7VFCL#t74X_5YWjju!{_ z+ibD8RewVUXrap=x7CcvB0?phrSO%jpRY?}Q_e7f9adt-X8-V`8I)QGyM?^-{IU=p zPEQlBd8+wjSj~q+FFh`#?X47gy9yJ|LLPpyVtpN$k0s6j-?1S0a9VDv%TKan76 zdCOk1O7mu7@;#;=Molf0hiz9WS96|X-Yj0A>+gGj@$#4!ofn4d;=WcP*eBV`3$n~` zgP@XI5dE{#5JdFP4cLcB8xVXTl->K(hCd$N^-R{;z1z2nNKC_Bt$B&Zpqzy{pRmFN zm$ShtaG?g+W&0gr*m(Sg8DpgQg>}u-tVIofM~Nb02XCCZ6^l~MO?M$U$D69v1c`$j znI8M%m$c)HXWe|Fdl=W^&_zfPZ5NNXR%ep*!f;Al7>QK_^86Dqat<6$UIYg952W>8 z7&XqF-a$?%gaZTR;8XH9j_t>}=?}asNcS@%+iup_v$+C93=hT#%bb_tr1~R%NGW{B zwD`5^=9W@d%urhHOEsv={EVmtu{$RnV+sOvYQ#N2^ixjpH?E5}@wVSj_*8hqE`NC$ zv7nvYn>&oO%^NCFaQPDnn*fntWV-G!n}{_4=~> zjus}v!Xi%p%d`Ego66f7t$EyOxKv9sdRw+MKN}H1>^d%v;KcMH=|${xOfIcF`I{RS zhm%$dLSYbf#ed}j%%;c0Vn+Nol~IOiNW!xjaRBK zi3Fn*qn)G)cvXKWj(df>2Z$%R4mYkKy@ao?vO&AMjovlNORe6*Pso0nF5TsDI?$(9 z;P!Q;<@g=PRScTO3tYkMq{SVjTafKYy#(j5t5X~ay%AGXiR;G&_khQjGz-?Mj6H#T z%;|%ZCvSj$Zx@Wl02d-Qd~rSg{Ku>VNNJp7)gRby-t)l)_pu+_sOwk|QZmMs?%7>y zs04kud#f*(m-`QW^mXT+#n51TzWVxhECAm+-ON(C?Z6?-v9$buKlIZoS^B(_nZpqd z-tH?n-x(AO)MJc?lB2Qk4W30NOe_U4M(GIAoqPq`4&Q)%Xy#?#+_}_btpqqlIZC*| zK+Y<+1@rh>%OB|Us~7W*6nH>gA+Tu--=ynnRDB~1=dK;21<-^2Ke%8Q5*0!Ycu`q? zVSki%{*pK|vcw+mJXG;Vk6~M>(IZ~R7Z-nN4=On$LdJ!JS%(<8QJ24Bc>$Y!1@|W} z&GQ4Zs3$1n-_{N%!9`axHBC+OR-sJz5gHo zfB4*L)SVC~)IS~>Tv!*f>hFm76K)0rR7E~)S<82+=PF8%c7gws{mEm%U{(XDUu=BP z3-J})(nn?tg1CH*^@cj`Un4f_mCMzP{erIti@FhAn_MvpCnubnPPA@*p)zkWv`x8mKMhl>oi|RJBMi<<-~YapyZ+dla@v*AaimRfmMo*dy$dI{NWBEC~LyNf`%z45)P6ZyG#{`op@H}!R&h9tVd#s^+%|kvK zECpefx$A#r?2aOZ@pk_*V-X?lf$oi6-W zK0YJ~)heshoc942M&3}?M<~NLZXeWfKO90l;uAz$ppVa?w)6`sr>3}8QRS|pPMk;G&xI@xJH(!TCVIadP!7tz# zMWQl4WOu*e<|XAS4X*^PTvWUO`XAg%xbGu3+3rbw2F{;;YkE4$sbRX|k_sfgTckGS z6KFRs%J3*8k4*tQp8vC%ECrXzT=$Q!>LpH5Cm1LX?ZrTnyEfxr;neR~P8Khm0BG_k zXW6H!BezkjdXe1pIM?TK1EPWSVe<+jNw*cI8V8y~L|8(ZH&^lGh1f;;*80>q;81_8 zfML5k(fXqrs+y{st^O5xmDt*YMYQhjt?5tn;`Q2I(LR0OtbXC0@5!=Rjdr4ZnpXwy zL;~4XJB9j%!wdbokt#3j7-+U2)F78Aq*ld+;%+)yKdaG8uq|u_uf{L&A+Bok5Mqp7 zz5_NS>VxK3s5qzY`OS`M=hTrtY*Y{8FcxfFaFB&Z1L4YaAKPFb8To|6Zu#+Jy8>7F z?I{rx3x#1ice5QiAAYQtG3O1X;kR4|J5S}+axr{lEHK*f5MJN0!jA)f@<|`JV#lN7 zv$il$Q`4x(zp%%r9#tGdSNU|8+IA=oJgHTjIUV!QKG@72-`;}*n`^t4-@4y$spb#g zv6l~>;jeJrwHChNluIY%7s3!|F-y46{cPfuJi~kW@dxH5Q}qisbrePC-oE1moD&X3 zHEpH#0Ax}Xt;nt5>xC^@)lw(8ZDRW^V2}L_P!-G+&bGW+Xt~T76vaFD%7ZzPpi&iH zSw5Z#I;;Rg7jKHn3zbF{OehgNW5dlwyon|xgKR<1A8FWeYFzO*^E(Sola_lt;U>$K@hA5nnsg`0<*BErFZjqxIm z1Ezd!#6j7;TD;*q)cF6yv1mNJRZAIhQWpSylPu%a=sbM<^TS6RDZP@&rOwsYy9j3M zgu$;y@G)J5<6B1$<>`66)SKUG`z;Z0z@aj3)PuMGyX3g}vipS_TIH{uPxw&1kA=R9 zvSVafaZe2ux`$n8xh=xI);sG+z+3fAw<1G@PdlF@uUgsNA;&HT(G5)mh2Q10b^!#a zFadZEc^9q~T0CFkS>USsWGf)we8Nb);74%$;Pf8bPIKYwIr3Am$7=Tr-G|ZeYVH}% z4pwTr2{v8{`bFP@`M@dJGgM(_2(TdA_Vi#`^|n2+bw$&h9ZnlAg9Z_Q_NU}jaGGp0 z)ANK~ff~oC=%ET2N}M~WKhZBd*e~3GP3i_CFsqM?hwQXa=B$TC2|PRp9x&qD*Bief zh?+Pm%pNl3iSUB*-g3hM%^;`)=JoE zb@XKghTMsHtKY%UvFZTM3QLVUDcH}j)DT?56$*qYjuYYvZ?N)6dC3NDfqkYor;Zi? zGp|<*!q(+q0)lzQe)tU$UP3Ex9T$*8&_RXmhQP+!+3lBN&zrCBNIbH=h!aR-F7L3# zc(1Y&!v_u(@H$3(#;Sh7k7C3RRG4Z4p}|*-9dQ$UAQE98)_J9&)3lLYN<8pD`*;Qj$e4;~H ziQ{n?-9O}v8!yE6dKVmLCifCfL=5r<;NM+?uYRHH);DjuThS&9oR`T zP&yB#9of%|-+!)G(7pm_cIps=VsXgT;4n2TJFDb%tYOCVwPixJX&xc!Wd^I}^fHzK z4eoJix?dmyU+ZKv3G{v5&?4}Ow$eK90gLZ!J!0B8_K`}*O<#N^PWkQ+jUrtKE<8@n zUIJ~yB71Ws`f<5m1{2C|ttSM(!c;X9POHLJwbM~xLTz#57jGB=w)GWtj*F(DM#qFc zwy|>L16A)1c}_61XW1y_z@8(z+rJx13N2GyQ0G-rHs^++?E7Z}dN0(-lo%I0a%Xst z&z7Ct73MJK^5T9pXCRLVZ>f_^o7F>xD`5B@jmt{Si1dj;wJywKJx` zjy zg;vBIM3kPFIT?!fjkUAlc;%z<#L#(obe)$7gYj4uaSG?2r4Xdx2B1l~UJQia-u#UI z_yeIDaTFjzfpeB;we|Q6EAjlg1eBW>w#PWozgS^?oGodE>#`3Y&SID&&*v$v2y$rC z_g%lE$Kj2Q34^7xcyU9rFbCGlpNPHV;a;(Bmhb7+04cFgAr?`KpOV-=h-Boww*(79 z;6lLch=f|?-I!{`NE!e`9Q@_Pc{6scX@NvDqpjr@TpJ zh=radl+c4Xzjmp9A|Py|TB5Gx$EfgQIN=h%192`?N~sm?@W#=zS}j$VWA-cWs856_ zvjmcv-^C00x|)ZBvxpiwi{qVj{^gYk&JmA?WhGmnzNue;Da>OTIgSwr6QROs(fCpYvyvo`t^hYVkwaoO*DU;#st^55de8@mIX%PHH;t-U}m) zH(XIq$q3qtEL(KiOtwGRwuVnxK45lUE);%C3k(LG=G6j(*q*eA!WBnFih37Fv0NkJ z5_%$B*Oi)}#ljYOcp>mDq&lg`S@WQPm^`{GBn(rji2iZY3}*xgtZ1Smn6M&M6%8-k zrVp(P)#0S|#3{l1^h`Hb`@pm4pOL?NjXPE;PltZFy9&`fJQeos7p8B+%ll_v1%>-E zT!<$Cg2 zVt4OgT`UlKn4eV|i|oD$4(rhN3|G&mztZt(KG+))5z*zdir+B9;MXXhi~i+TPWJ^2 z{y(R$3v05D(@{6W>j;aJ$M#lUSr@e2_}$C3M`GmKvs|qr*F^)L(fPF8hJdX?T=ixp zc5E+Y_!9^sV-QziwRX_(dS{&*0@7H<@s=X0t|7+DX_+>weJ&yBVKqJ$6`f{lKpnNV)*(zQx0=x0c zEb7ZyV<*cf?s1@5vLQi`2VHU`T1KF8_s(WvVaajb5EnK+RLUzKUsR7*8xFJ->CliD z$Q5=zQ6o~YZhlA|4v1)Ger*UGb9&g#FRPIQZhN&1v;Cw#Dc7{TSm?De@m%*_2;VKu zhz)TcD=8KYaUa!{T`R-lJ{AY8?I{g`A0Cv!0a#nK*JjVx{v`h77TU{q^a4V;XwbrgzhXE)JVCVKJNeymh?uL_}4>z;Nn{YZ?jsoA6ITqkYuI@Zy z6Ty+}yj}bl;F~?XvHBf{(HgXhwRYnYhSwbD1IHvzUI=SE4b=_4Vz;zH?2i+*O-@f> zn`far>hQv(w=Y@?ZsFt`YUUNT7qAL&3P+}=%?mY5xfEw`+gJ?^2)(||vcUz+En~5D zyQkL-*hzy2*cAh>b&Xxdn;TGQH@xx&M5L$itOob)>YvKl;NCsytD2{11YVd8(E@+X z$e0HI?nt)UW)58s>Ghg7hl~zRZy=%FEVNk99^SyldM0g~C5(V@li;aYx&`()Yhgj{ zoLC%2eYpK^h*4u0j;w3qka3O1;RC9HlGD8CTjaJ=zX#FfPpVKyR0tHF($EC9{0*8S?h z&9Xf>gNNVH1MXP-j$k!oELDRW)z6$RuYg!JR$@om7XPdhaBm+Dr}&|ydqaTVBn2`x z%L-wYsxEt=A`Ks{pSu$I^gID{cpfiu{RP#Zzckq4I%|C*n>k4h+MwaFx%sSx7Z%+; zdBLeN7?{*7`^5RQ*=G4CdeUwp0Yxw)Hp@Vfa5xQ)Sx3IJ66J~AmhZ$W;=0G?g?ed6 z7caEf9optgU?gy+Jieri4B&5Y)ONRq`4fTL;~qcCjsO&Y$46|*3$BY|FJTGwqCWhF z;pz|wafI4Q+k$`ANxFQ%1eTs=sdkCL9zf zEAF~g{5w}<{yE;;D`-xAz^(4v4Cz1`9J1ZK_6(_;lSBBrQJ<5Y&9}U3+ZcFjDYS-q&mtM=_;=V9# z)o?2;3-!bUcMcj)8I$snKcIoBERD@~?RIVZSuCP=pCQB>G(;Sb2gT>q9FKPiv84@e zSt?0v&*5mx=uvPzImzJh2d=$_?}U?<&9~VW;glUNhPT@ftrl_M;7Pv2qi*hJ!I*ej zzL04-n-QT=e;I5REF2z8LZu5X*MxF!aJeRV!2d7%<}`rXmOSMH}Yi^>=$-x9G%WKwMK zahCjlkhpSfg~#)_&7JpSjd@Z#E+!`UL@uQ@Y!i!|!r%X4_<8&V%bntlHWwrnDk<`$ z!AI)GTWWOhk*1KFWSPy@OluDlb%r8*$HtExTgn>M29Fqg}`4E!TMhCN=&Nmr_aBgYTe-#^R<9Qsr*-SH7p9tw_=Mw37)6a;O@phdzaqjR3&OO?( zS#C_Ef71%ktsj|#KIF}6)|ssk-8>UDRl6Ry z2Mz1cj$o){t9<2>m)#CmM$KZsf%2?C8<+9g3!FjgN032(+PY9_~JmX?AR^#0nZQBE#Pc*>c(8QsFwBM6t8_|1AzHjTMCL`*?sEU%BaU{>qp-eqc!39|*F; zYgAp^hD&J6y%{8SLA0PH^Eg0m z+NrFUr$lnLLAmCZrPC?PJy!q@r;)`AthZgQ!vU2JnyJ8TGmO>bUmTh&yg}knPo}u#0DX>BcI@xkyl9 z2d!N2#xGuQvv*y5Np*uW8HYP4;>ril?4WlmJYW z!|POd;kL}6d;&ek7vOkA6+4QIL^hUe4YE(K&gs|KrPbqQ`i;MytO87@o-fZ#3EfPm z+)BCfSXKqrlAfs!v!a%>I z(uWsrM6o{+`tx8d5NJZm0(J&WjJ$!741Hb?sp~#4DK2L(<2&x@lgH7HAP|2Ehbl~n z9^^6n!ljjFneKdloc6ZE99SLI!WC==k3oF`*CL=m`R&m|3U1fG`5WgqQy+4Olqw%i+F)v`DEt_Y)5O9~gz{fR`sJM#V$FIB^# zyq$fHaHI~Ck=wQTO|TI4WTEVCX$ap&k1WdJzv+wg()X2cj+`tnVcqDK>^Q{%kBW%$ z6yiTB)5}-7PhS!9JMqrFR}N$TV{!~o7|s-Y`Cf?p>*N|3U@-K~8h)Y2;j&R45pnBs zq(x=giec-_v&jay>`HljDPoB80IwnS(OFpySoM?dXkaPwc|QG)@i&vF{=G0`Z6RI3 zz;fl5ljhHWa*V#$&ReQ4Ck*L$l=~wQXhXE;z#^zMGxAf8 zmcfd&IFJ)*Ia<50)WTM7!8CN(QJzEaaRk5s@kAq?Eh%*d^1roPzL4O_=8ZLAuDjLXthfSfs z`^w~n@B_}uLKEQ&<$%?5f&LgIjP=m5eJrCpt1a2LhOr#7KRJWI)lfYe z)Gw?EEcYk&rTb+|^^22#*x19V02s+MdZgIi-oc($_YP#^U10ZlkuyxOUa9%PELe$m z68pI1B<|OC`gjT9e|pU zu>HaaY@C-6M6}*^Cp_4M2aMslbA#N$E>r>tI5dH^A%290vN3KNFXFfdpfyPW9e~ns z>86)^7;?tRdKNEqH=XeiI0m!GR0k&yV>qavy>^Tna<^DQja<>i<>rxrAx9PgW;YtZ z$yBGT@jG~Stxh&IKzQJ6Gh8{^gV7eLK zFZgMd>oUj(hI?WuSJ%82>tOUtHR%8VySO=wtLm65BCJ`d84w*VS4IozWGAeoMZYAl z;xM{_^)G8Y#n{UM zqzUbo4?lbcGX`1d2g2&xVM-R(VqPCOmwTW*{Pe;bZd|=D);O%Xy^rr$BisMRyliB& zC=K8*dO}hToK1t0fbTG_u;&Aj4j?E_TCo6-ut0p~yPTHzoUvM_drr8qSSCGs6Fwm~ zu5XijaDg#p(uD7&+gi+&R1?uEZUSVHBaYM$ADE9P=Y71$<(A8Mo;c=i_w)KA#~1Hu8^XjP zw|`+F6Eyv#!?tZ|w#Us}M2OCIvv`m*akgh&yNZ_>*`&yIGGRF*%^fX(vz74s^E-@} z-|4glA1TYVfX823f?bKxtrNWb9_>RKh}mj{0TMJaTZBz9?c_A(e%idN?Bap#7>sF)=EPFX8RKs} zen8n?L#*6>pk@gtlxlLg%yEN-cyOJt;5ng+t(o&0?1pVH6Dv1K1cxbQ6D#*}qQc1w zUs?oqGS=>rLMrEUxN>#N@SG)7^X_uLOsjt322gSi8No0WyX7wlq7SotP0N)!Kh(km z7SXj@(_ts*0XR&iZ6OnuB|pX#$|tmY&PxyixB_~3$7q*=vhqTtnc;z8u5m5rj8T}z z5#TmD*5e&0$1PqgWSUyg|G5+v4dz;TFN{dW$SHCI{z(k>%GVdSSp?IeVNK%=H@DH_ z-w{biiq~L!90i#wrUmPNkymq_>OAVEsLcJ;2>-A{#Y7l9*A_Ozenuocba}ZN$h?=+ zayPQWc|$Ofb&e2=aZjesxh)%q17}!?cM2~b-HjJ+i~`5quG`mk+rB4a(0!D#)@>$7 z*#tdrf*F|yVC#cZtNW4SCACFTr0EwTB_v&>6U@o>4#o;iVBnlg0uL-?mopBO>WG$A z0vJeV@G76-Wm0xGKUvOK31A6xsV_KHlcK)hRCR`8TO(JwPak{WE!}f8`*1f7lFH zIc4(M_X1C{o@Zyl^Xuj)e<1w4QR_1@*Th1Sv@cTO6;BvvtzRrdnspQdJQq@;IRO{n z2tRPld%qCe-OPFNUO0DlSu@n~IHH10U27L6o>c<~zs%OOTJc4eaPnn(5hvfF9Qs;| z8)8Hf1HD?kfhH6q8!Nl28858s54@wfzlfP#7VPsi87|%n<1eT4Ud5we}DD|zF-Ftowvdlm&;S$f^DB;aCuvQsCNJCLn680hg#rgt`6;G zHP6a~s|%+4;mevm0e)uJYfUR%Fy5ChP^-xk7AGdm>3h?RPOR)BEnD$Gt z!-g~~Jim(n*P#Dm;P2`;?u-`hWj1l@+SM;i#!b|>yRCO&;_jbHw7RqQLA&5r_2Ugg zgXlsytNW!na1qWL5zKx^fP)AOTz$mK=Z$MdZGO91^Otc8y8(hVozEo>;T{A(i^jE8{LXC#v4x&o8*Rr&eEy0e;3oF~G3_yqhn?)bOE%o;c=dbB!+J5044 z%1ot>#R{UG;>*0B&$jBx(01~U9jv%yr|#d*c+0vtef4ZnQpcasp5fO z{BX;h;rrv`SE7eVO0|qWFp)E@dAAZCJs0=`shlwp)q*7?0RR_*S==YY;fUCkyfYwl z#rIqmuszoaIS!XavN+qLeb@|E9G*p&CF3ACWKeElfZz*Hcc-b3yLo0#!LVkaoT#*| zc_K8-$JD$VA~(qOgf_(VsSCgX_r{nqxe%K|C}!{eh;QP9D=vahdJ0Kgt6U-^&hvFc z+}Lj5!gE%N=@-I9#A>e^PC>5&B171DT#1}5FW~+Qu_5I{$u5M3ki^Wl+;w>yd~I4E zaD=P2#dbI^EvNm$T0#?tZ@ViPMCn^ui2q2ajZ~SrLnUyvQK;tnox7hGp)vSKgNi)nvF12qSit zb?tj@^1;1Z1d_NMYLSoK9dK-tRWC5|`6-ECzJ0LIkX@Z5+x1$fxc7%1y|paD&8?Dr zM^N+?Z@ZxA^V0+<`pWW15x+8>0)F~HJgUTiqc2fOE>QHfgo{`(PIx%=rrfVTi0db; z6V7VY{gKeLnm=;WHF8>mq>sqZwfut5IM?1m(&rX*FS10s=;HFUy`;uy2T31oqXZ8u zvv9Z-#vchL3SYL3wQsp|XYxu|`e~V2Anx;=w`@;XNw{k6?sq^>Eot8bb)TP9z3z2K zE-cn8)P7oymr?f-80gJ&!El`ml37-Kd0{nL5HfKZ?rUcES+ygfT=C}lQZaA=+T$LE zS>m|Ke7T;0TF;~87r%6bCi=vM8(x4Xb{U@b&W6Rdq~&*oqsTg&jcS+a=PxR<8!5^i zp2XE?+c}ibGA?rao7QOXpiI@g6txjYQ-$5IuwM0DY&M zDgBWZgge%uyIfjx`mi^0kvsjcf7^~cm7Lt~g)j;7fgP)Pul|3FgB}}i_X|Ap60yAa zDz|xM-uQ7ZBOs@oMel`c$v>Jc z-xB^wf`~Ux_dLVcNqggTzf+%_U=^p6bt5DCNI1uh8GqmVGD3$HisVapQrr0uiS2eZN9QZ=!>Z~8yV4^n5I*n z9z@24bt40M_h4gwB$gk~jl_1VmnM{P*V{}ICDo!1(SEjp)jcVQzn3NkfFZny9q0(J zhXvDeHRian4Cn5p;I}o#yWH2d>s#@vhx6t>aLtgFFS$^M!q)HQ9%%eR{re6$+cKiF zH7VXeeSQ>!5pI2kA2jG=-$-sg-Gs|#83DaG-jIM8_RmGKk-MB7zS;CMPFy^^ycd@1 z&y`gO;vvSeZcAovCMjR6fUS>&tcw?JN-j>N8qrcDTG(~DReyVlVe#-0c7r-+;qyC~ zGOM>*9Aua&YXhsloUWf$*xpcU_zm7~46xZqPVVUNhb5jTY$Pr_E|p=68{qw#G>#4M zuWJJghuQTwEMWS8JU7{nJz?3(Z9ySqVzC0(8KErQmk&8ZViR5sEplqOh zeJc44D~up;-T33MHyol`~vOH7o6hL8O3r3~sa!C>N8&*rVNf-8cn>lW9!zS5tQ@8CFBW4!f zfEimd$_QoI$beTr@A_`{jK*PR3Gkdzi|x|Cq^y2nyXBJ)tQKe#FTojjtLHJ>2KY^; z(hY;(qT{vtg+Ls2A0n8MPu3>dmX+c7GY)IHwKmOJjrIaKhfibH=`D z$A>re33wKPI=e-j3G@2x7OY*x#golb8}>tYkh0;JwmdEOJs2;!wZgs#ovV2W=7xbW zak?2;*KjN(wIo15)wUX_3@y7FG*33vTq?>(v4~OXiT> zZ_=UWrH&o>b@{E(553~{7Napwkl$_TSpAIKd12`+#{tM)BK%k!cbs9GV)KqCl=;2T zgISBOh*iJ`7D&n6ZA~#)&$)TvTth{Xu>umk*G!LHF%; zP?w$Uo4ddc@5J!0+INzA_wArXWAM_3b2;$=n7lrn4P@c&YW5c*keY^4`a?J9!;d4r z`Qbo5xH-r#+{m!v7kb!M`4+5hjD%7^PzMo;?$IQ(Du0my_2;p z*N_lJ?#SKA4e4C?9gX-KUh=xqW&m3AYG6h(qwP~8H+}Ob)(so-8v-Y_IZ44SQ$=~-V5R1ey!S$c>u|IlXMKS2k~j2V^)u(%22nb0 zXzwua8&(j{^A*>{h~_?sXm?g&(^(Ee+M924%`OzzeQotR<@!UI>F|_mqgsA{ikl@Cy{i( zEN__}EO|tR93VR~Ve0{s!`&;a^=Nmp`h^>t>$MynwM+)rSN4c}!mG{&ZZz-Qd6&lR z7sB8ZO*sSeyM0X06ZsMSyI15xr2piU%PPqSma8U+y=E=k^@!wKe&Kq*e4MUGyIxoZ z$l}t8@4%Mj(Jh>t2bL+J7^7c%`52m9OXBi#(Trf;Wuk@-VP*fH?GX2|xXv z=QK)FRX=8n^0Dd{I+ZynzFz8xPHNr>W8GjZ)^tQrXZ4~~7bdm-4YVz{_ddg07CZ33AITn!4 z5$#Vb#s>%d;IxRtnXCkWY<^I5IW%k^HLwp24~q2?PRvZUtwGrm#}+Se)#2Q1p%<`o zTBwZdUhr=?2j1`tfu#4_Ltpd?I7efkS`X|)i6-^5z5F5HwwMb{|8w;X*j4-z(>`t5P>?al9Pff7s=t&;1U^ zjSVjFuvBqDWAh=<*_mGs}ZuHsuIE%w%3uPk6QimkfA z^?)^>K6%cCZn5$91T|)a*>a2V|7S#Y*&8fGmd@`(`EuY5$}@PUd4F+xxfyGZ#kRWF zsPRJVd5gmu!K~HoIE6(T@3Di@tp5<>8M$>>i_3gMtphQi9zq*WgcFDxI)Z6jmEi+3 zD9?QQAiAbTvU3(O!$DJBz7EPwIgH9)?HN!WDg>64+9OU_zpK z`|iQUS`j(V-G1CXz|Suu5}(k~`8c0@8wUNur`0`SD%bdrV(R@iq z&`)vVE&I^<#QIvz^>7ft$)$&>+|GQ$kV1FavE4!Z*oRdPcfqpnG!XJ!6m7{*t= zK=;d)r%*~CK$-FuwI%~rK6z&*$^+a{E^c?}Mc{p;_`Nb~@$m$lS3F(6jywM+p4>g# zJ>s7%82+=}eE!Kym3n2mk*-*aygY(`KDmEQ{ho|QPmoH;v|oR6;sApPRX<;tq~iW$ zdR9JprP@Q@iI5ZWNqK=@d687?lUr&X$Xfk1GU+HTXnj}e8Hh*3o!O@$x4&FB!n{6l z$*bYMS-EP5#EzfrnE&rWf;zkl{Nv{8@50D+2bJS~vb+*x;FZgh05OoupNQ0fKY7XD zmXaVBSGDKNLiE&pVdvJdY+k+R3r+v;i6R{`&+(s3?9C@117uyfldJQStIFfZ>%g)q zaw5NixN^_KSkm&#S6(n)*%NGjax?4pCyzh*_MI0r$Va9XKMEIQhb{v-6c(k!f5#^#01d1e}lj%Yp zKetbPzXgxv@7-I=JBgvxhv>h6Xu1pCIqNFoC5h|J!QrYj842Wm}hlXa3h**;lnW^8fmi$B#@j@G<3< zw$y96a=q%e!5p32viG0=N8;RrtZR5@nBga$zr3YboJ*c4eaIGqD3`qZ8c|dJ+OcK# z?DP4N8MpDt7`XX+=|Bz9NP)7LXv87*+;etBDp_8CBJQ8RWmJwDNQOr7k&XhD(9Tt< zS`}w0_~emUjd5Yhm(-P%D#%-g6IUfyIQ2ES0=Yd|kFvp5oeIOLyZ zYjg#CvTP+IlHTK>4e>G0{P%Y;YxyTv{m`!SX;><7c|do@fp~~qoi1vHVK1;iq&D9*Jj7d~~*#<@1DmSb)i0^uhrY{>P-Ep4T>WyQARZk8REFe=B_R#gb6-`p;HNa1_rH3BDN`4G>~{K-e2 zK94LR;L?y*JhIh|pS_2~aBf$tpuYD6Q#k+D=aee9!*iaML`0M4$pF82)}!DSFIlX) zArLq&rN65{RypAzZ}Rv`P+-VgX6mUj)huoJnEArb*R(EeciPbBXKp&AU6HqAFOtW5 z$%_sg=eaZwUHarHJ0HB}c}yXnO39Un7d?~EF9 z|Ni;^$XhwLmxT5Rc_a+VIRRb_8Su9jTf(({sK zYRTeBi2+_2aRK>u*ckGpM$VPI7a#Yme)5*%B~q~DiFrbt31z>)xKALb%Ug8m4{fuPuw!R3zDy-xm_%m_R8|edvGb{q@DRfUQ|nYwu*Tt zDy2N~Zz*{dEP#OIqKWAF#GZ#<0sfm>mp>F5@vB*8SWpavRh|MgopWOBDkyn{g+LX#Rt&As@`s5;oby?2~ zupVW~1?+A4V{`T`h)3IE)O^k@Wi%NSBX8=ZjH&-F86qTH~P_rIVGP_ zN;&$j)AOEN0PjfaWT}sAa|HoH>2O;Nx{>EveeyA*0Jl-nx>*nq)I`pc?Ad&Y<>X8b(FDqmY$mzTAnFKbiQT#LrZjqy&Wyaoekkyj26*7?LDP4iBt zk>B2z3>w2!l>9Lx?|=m`hLvlB4ff==P-AYX<`>HKT{8a+ERZX>MHemb`>R}KP9aLB z=MUOHV@d5O#bRQTj8K!6#hkD6mCGX=6#Vf?!6*n4$<;Uhy^-a^L|^wp&0BUsyhmQ$ z;JlZ=r|g&T-52?P>+MHBu4!YM+x}$v=WE;1|GS*s3jFf=zpkxDAD_i8LlaapNB)-+ z6Vjq<g6%SY zC^EO?m(QGlsUnwXw$&EH1mw!CCNEzjYv~2H%>4FsWE-+Tm;C=0`#^yubIJWp$NcWn z4O>5buWV>7X1L6^W5VUipP~(YspzQj*fl@ReSc>(B;m|BnrO~zz5_iHK;w#mJ- zEC+EUtjXgB*2k7bIP~ShOle>tFKKPyB68ot{Fqx8=Eq!pr>FhoF3UZviz36klJ_<+ zy^FZSP>$Ryxi^iRM(VTXpL`z-=TH6sFtX$t>_-ZOUNQ3hTQ^&vHuC#C0_u|o6El1l zmJFzVwtV2xi94Pmqkl*)HOS&9c;zK}`gmkA8Ap1mo)Pc#EXyHc6w!2G9u;w9PiTQf zQ|b=Kt^D6b5gI>3chs%lR*zJsG2_rD%glwG;t_nFjm0{(Z!`2p;!5GYlt_8*9oycSy@8VwuRL%_FBj823)DZSXdI7gqKI6d3G8 z1|l)nXRFp~Mz<`U?Ak3by5;JKjqMeOiqf&uQ(1qq%;{NFM8s&%@|MCd3|f}uOg+2o zJ;>aYAJ)Uy>}oJTQuq8fY`=Lev8+$I^dVk4@cgQ*2QVaP&j(o~jVgI_m{EI9m;xvO<)`dD$djHmCU8?_Eo7dm?R#|0 zfr@HNc|YHG!~s)4G}T0w(=aktLx7wunFC}!qk^Ssi`=w+ zMRz+(kS^sfQD7}SdT!8FRRad=ReoR9(}bl%uUVe5;u*zN{@^NeeCa_Dna{IoV42Qy z^R}O_MVdOff6C!tHQhBhT`0RA|8ESeM{hDlXL4L@1wJ=L4I_kZCOc;ggSrTR;|~$r9M%WI)SG_)bq%8 zLb^}x`hO8@L;(X-6&Wz6k}rr|AN)aiewCo;e_=%6Z*HaIT2s=XOyX5ohO7=7;hl`h*4Q=GtJ($hLvg#i#-YX8};s&Gj%_Nw=XyC&k}3Sy!^H`dh^6hSvS4r4O#RRDOl4Ep2$OoELbYbW>%4di|4!kBB8=QV_@l zSrAabW&VknM?8R&TG+`d6mWolxt>+vN%d(h4+)c37Q23S6OayYartx)WLjPcf$n<0 zEjLWph5?nQ+<)@)dk-h#oia2_%k>%gyaOym*6e5P0 zYc47aOsRPpfTMQgy9Jv9!=~Qdv%(I$qf7;OZHtr!q=-Clq>;y?qCk|YrDB+JgCGlF zKFTLWbJ_JvkXfr`sZCAOJh99t3p}}+2|xdj&1Pn~%gO+oeeOr#laI(N@9Pyd{apOc zZoF!#X+<7-w>Z_RfsJ!zPLY+NF>dY?n?zVtq@3MZ%-VZxXUWTtENcDH722T2HOm58 zsi2$cS(JUYf&{AMh62Y^UI==XjkX%2Q!c;B!K!vsu<{$hf07^Q(zZx*nkOg-;-x zJ752nlW`r7Of1;BCK9U6dB4gdT|fjSz@1CVQ9MXejUx|{vK zWO?b`Ia;TVD#(Be$Z{!ip~#vzkWweV4p~xj(=~BN)FD8hI$A!(*I{RiTwK>BlDOk6 zi%MLFMugO%XXXlr!OCqnwCzThXr~IO@yyT9N2))IjH9Wg%`P7|XFjIYF=f+-vmx)h zV~LZiT0T@2^C((Nhw#!F2T#PwFW=%Aukb`nH0xT?V+e>y%_%WK?f25t% zzgrDF{E40dBGAAUcCf5v!VWgGSV_O}U1+8+eX^J;D%jz>$g1S7x2;w#FLDwXH9zE< zE#?)(@KT=OuB*|&uPiUoE7w-F6s+%gZG&B|=nY!_5hqtQ#&?mIe!dy>L`ztJiJ>M?@igg#++qRfi>K1Qlg^^Hho+>Vh zlc}JH&;Qq-oO?BVOMMe0ZK71`yA65hHy)KT15%;rU%i`5 z+9QCTSIj$3do+Nf!Q#|%RhwY&Us+5(NbBnf*THL1K`R|Z#M9)S&)Ch*xd{*1jCwBL zFvO+XfJiQBM{7m&lxCn~`8%K0T3Jo*R{wQ_-zlkht%#Mg0VJHu-r4%qK(dzm0UT?| zzuAD}P45N@w`VaU9$GEh$;y@wdF091K$f3kDOwdMWCQLskKfv>{tZ;nlP_eY=oM#% z{JwHlts9ue@|TS&UnUUq21>Ce59j0aD^C6JA%WlxmjBqTMcXZI4B8wi8w(}ru5_sGUvpurhwKUPF8!+8c znYyGY>rc0}$Ug|yBgo>iYfTl+25L2F+a{wHWc|qi(E$0Drt6RPoa&{miPg6?vHG?q zwz38QcW#&=*!ufS`*gT9a{WWbxz!c|&4^JR!R=SMPkG zNn3ZdK{g~oklJIhlLC*{wpP8r=96YKYL8s~nhgSNh_|bO(c$F3-=#EI0c7; z+^)(m0MIpy0vc&5~TXv?Db3ffTqq6WaU+^*WkXxaSQz}k>|4hGQt z^t+PIT$e7I5Lg*b{#Lb)wjsdVHuP8lTWOWT#c0oz2yq8Sll-qF>Z+hD(KB5xTP`{>9x zp2owH3_vb&`}vuHM_+by6smdhm4)l3fnG5=%bKw(jx6_ViF#$3aPtu!i&qv^X%^K@ zrWg#{6oX*{$6_Agvk2eIE8|?1Z>YLwPQ++exloyL^}8Sdr3U1E%T=gDKesOV+$udc zg^HrhR^;Pb6@v}<8%M5v+fsHDpFsnAW1fM4`AczKcYNUfyT}=@`-%b%ZnKLEvFU;tzf0p@Y_0wm%u?K6$|r zbp}xdGAma3k$)<*eMt1EKq1+JjAfnot z5c8mq3rxPPDQgh?S9!3&f0XCZE^ZzK^=oZMO=19(<^}FlA<1jUQgo!IIvQZpj-En} zaTtF8znZNWhq^-hx`FjZmL=A%0}fa7{feULkyho(7MDqW)ggIZKiZPYM5i{I;4m$llc-)Ny3pSrp3+<&!_AO5ke;JLSr+i)56R zh!wKz=N-c!ubP%KFpFX?=oUhr#hLZcZp8XY>_0CPhOpixJhOK_HFkj4n*1*@za8Y1 zRo-^=ZSMvk{X8seaomBdlTo1|SNOE` zaRMzys{VsPwrpxHVwde`z2fdJILkpr%r(t_bIUAt_PEjgUA$F zRf^dKLDTJ^BC?D)oJ*25tIw`4@6wF(XSgF?Sw!7D5UyNB&Sr*=bIHl2k0XDJO`}ic zuIy9H&mE_ZE`N*C-KSy~`dp7xeThA%Ba*qw?b>V@y^q|l$i+UDzp_sahsR``+(A~S zEIyn*#k1UT2+_xNy3L(glDeHqj;QOI#cYA?7Gj;npO*<=MPDT! zz4}s;@Q!%uT$3tBgT9o%q9dF-&zA+2Tb}RowmL-Y4$0>LT9Fo|*pi0fw3&hAnEak8 zlf|%aAyDWDDa>mU5{-%|aIC(Mpu{_Jie~j6A%;DR%#r!YIf|(x-)QC`=mN_?ZSvxrJ+^*IzQ?bf;DsLimmGwteHy_ ze`W{sYS!qF?Ji%xAf&)~DVm8T?^WY5#`&Hv$U$yA;`temP^Jt(#N_TS_P$rn=YxTm z#g$9za#9b>i6>U=uI7^6wB!=Cy%{M=4#b<^vIs zCD(2~KXQ@EPqBy(L`2qH{1j)#cr0sAuI~CNUr90tf+S0>AJlf~c~N}EBhdTtD4=LO z>Ng)qA0whR?H2RhK!{}WI}LsKfYqbM-abz$i7JvxmiDCgpx05L4b)hu%N+b6TX?ohC9m5-D?! z$-|SvO{534IHIwbZ4cVdKt50?TWI!2Ro1QnWM@}V?w-<) z>OvpDb;=+*VzL+pZ#dmtcU=B^+je>oYh1 z6xZfJ=^Z=fTDU+G>WDq3({9EQe0e&cXVTaS;A+r(x z#6(41^fUw~eE(m+0zYlw>E%U4{{K5xISf zq2s-vqjWuT658KaE-q2p|+*%nmVuyD{vE-X1sSU6}d;8@j>koy(q zBN0CHQHsY2KC!d`P7sRqEEln1y>iW_h6$3eJjf5;60{;8bwMI-h(m9$ zd5BMhbe3HGmdDg93ZQTzsI$xeLq5I5hzidC+5WC5jNHpDqEi5;=I`HPBXQ=t`Xz+fCxqBuuE$6BoIVwz8zT|H?_`mWJ zOz1RYR>HGRBMf`8Ecn+6YgJ}KoR(`U!JGg_W}sHB6l-1!CMd;veqI%sY4)o8LM+NX zSGkDGYJylSwQs4^K;LD7V#}-Kgt=;EapdiA!dxYHF9{czMTk--5=14fZz4lfF0IM9 zD#ANI!8(?oCBISm*E(x1CZ1U&aCd??EU6_EG+{0OKWyu&|DIYX%lQhJ@Y={$v?&*9 zmnl)kvj{W}5OTac@Qky_k!T{Nbbfg4yn9Tyx;_5}KXg}lHGC8;m$oHCGVtlEeus={ zS(b9U9&M>3L6(y|b08)y6eZwnTGFH^%d)H?csp073P-OY;WwiSDrISys!1;<%y=V< zUEZY&?mJY6b=hLkk_3EK2VY2#XPthZDcSqZ^}|xMA_zs zFf?Ocbek``TwE0z-ibKamBsA3oR-QceK}HD@Cd#5vL z7Wdk-y@hGtFryY|K|RejI`9y5E>Jeyku-x#4(~qx=F0WUBPsAQyM1umdesk#+tISN zT>0Ym-u&2CIf>O<*yjI8<(kHmJ&-y9feD#X3y}}&p&zwUJ{i+A4ZEMTSb&rg?rbh$ zESuoZPwfc4{B-IvND{ZWO)u7Oj$;;)iIJY_CTE0;9f6=?PU`q^k#nEW&>A+oquIueGi%6KD zPtRY<5A}G335!KuO?Q`=>8V-nfy&C=OA_$6!#EgWlH*LEigcPYAGT?8+95kYG1^#1 zG7HW!o0BK-oCW_P%!7MzGmU3~L?%Hm7D!}v5}V}41;~n(8Mdvg$BvcxdF$f(Z<>`2 zAgoD+^ze045NQjZ>$F-fXy!AC%8LQe7D?@kIRF9EN_WGVd9o-6^ktl~Prkp(>1;vc zN)vg#I@a2p=oE!zY$?|&l5W)e@X*SL#ML;hxn0#N?ew!OIgn9Cm7R3=s2VqMo8wV%#^nO76%Rhwd6 z_!$;a$oMpto$b79xV|u&tu#ZTT9HS^hm0v3Ycy&qkMT=cT9t>98`f&Wc0ts`YB`oD zmC3r#t^Qt+g%O%v&+qHPGqIqo<@XyL z;O%to7*lwhmhGKsuFu0EvQ5PVPbSTGrdch3hGhV2K$O3G!pU>6XH0B93>LRDO#R&N z$Q5)_)2;3bZ8d#*VT7j2tdYHG%dy{Bwe4;&+1bk{2O)fUR3r!guY#I1?aAiOFfA48 zQ(mUv9LS3@jQvUPggP~-#>FF67q$lqsBr=n6>=iDr*@)^8fHLrN%)tgniz4 ztnCd(nW_&QWvcF(0d+qtUNLVAX5n0YASJT`2X&9AmdAAd1#slb^;1yWGW27DZY)p< z$_+b5XDv_(=1FbLfcbl%dFA>5(ViR*3yI)cQuO!pd&RDz z1Y&L&inC#D8yjFQ4$N?Axa`Ngcqd9(v4xnYlldu>1ntK7fyA!`?P9&eak6Z&BnA$xzt`E$Ee*JGKHw`5V4xbuzV z2YK9iGP(DD(|$IrmT4MnOI+WwEW@~T$@RR!vqX~66T_hw$RYGYXcD2rmY=jp-1qTV{gTfLP`w0g%dEx)BfMhM7P8Xt;&^LZ~wGHOt4T z*+ljaKjyB6SI@1pwCRl-KG$FgwHor>Z8wy5%0DmI0_)reuV1-EjvElW;YPO6ROb2| zIY8_myy9-p&mIB*Vy-Z((z%818MU@f8OvBMpk#NzwxIdMySa^?F^iH$V8hNlas{h6 zI)LG+)SM4R+52HfF1hv+`U=1g%{bG59J^__&?}4OX19Lyw>oTDUC%9TeD3wrwX#QtIVb?rpaZ2}&I-S~9uYR^6Y^%+Gmwj4 zT|Z9Z;I^?0YOX zaq7^R$&NTb9idYknBA=Zg0w(J=@~zdFWCu!>CO5hFuhstFi>w6#k94NXGs3;y6sq^ zp)Ag9>3wBkWZWZ6Bx6$4DTe@|tQ;dksAmmrD5vp8YN0&n!L*sn)5Jm>M4LT}8L+X9 zI5Up~Ovz1rbE7O>V?>#9yRJuI%3N7oTA3~|yFHZiVS@`(daesrW)C5C*p?Vb8Z$6h z#mrILQUT?^WeOWxWv=Z|1;NNF^IkB7ZD|kXliOqJz?nL1$DBX1pe=!`T_Wl!X{?{O zDX?{$!8d>1($#YOtQbSLhOwJ=6%J)m9(c8)?Bqiy9Igkoe*$*sDlq`=v*Y3KR^_|>u~ zHt9W$;%(#$l1Y3|o5(X?5J=Moa!15>GUUT105Z7(RTm;y!84F-PgC*pg{I$&$(t+K zbS0Y(l^Eua*i#t6H}DNDe?N?8Su-<)LoR;k)}Rf{ zLKX#3vkhaApB9Mj2I+~sZ0qhlH7DwZLtI+=$QA=$MCq!N3D7qjtiimXKsUg>Q4 zB{?tmA_Mn(%rgkkhW{itg|ZcFbC=}OcMdH^Xaa!LaynUOYKi)JpCt@G26X$PQ{A^+!v_Y~zmJcz$fD&+yBC4VXa%{4z?1*>q1_h~FXN**}c z;#tE#@FmDtTKe~v#r?o@PhyQS8+R-T?iaBObnE4uRC&)xl?XGP-xVV$2gi#j5O8bt{yKS*Fz zOJ@pB|5UYs97_|GOWzswbSx{>l-C_O03BtpJ;oj&e^)6_mBIsrxOB#md>yAM zTit=ZUOE?Sbtl*FNFe7ij9JUFAcPKbL!B&&0qZn#eaZc@P#eYW%rczPslCk~kROoq z)-jZN$?_De#AyniJRsrK2ae9oCYF=~_kw(X6&8?V>7VlVRdK-|_#?VJFW`~`e?(rZ z;DE?Fg?S)yeE@}*|0UM#G>LUP$p4gUqxqj+`KL9S?D>Yl%X8oIK|T5N<@k31(v#b} zbaodz(JOELwl4VbgA7r1<@yX^0)FMDAFn?21CL2|m%SGRQFf4gBQKnmG-~A%=TCRf zro(Y|8U9mX=ci3=&*dRN%K&hvEp0vc%;okj`Y5tM)5g zfnP^v=gHB)r#}KxI7sz0vIu>C=L@PC^rH6{VfR1q^N1*>ozqq21>ecZrPTm%7zXcv z_Ik?yMINt`5%6@&kSP~%M$cc5s6M%2%i#%R>RE>lNGma{r%Se^11D7OYVca;g$z!p ztn$JORpoi%*aXv}pNi|D{D>L=rt3U5jfXpnU5mripZWbpmM9mdD4}p1<+<92#Oqle zWP)EOMS<`iuvMoBx&ud1J|w_3R794eX`eb$0gpMkIM|x<()+HJ1b_EVQCyIxOFH3W zuA4{xSH%Fn8|l7%bgJ0Gg^0dFQFuCz5w7I1b^6caKdo_u68;zi%O{S<@zcY=vIowZ zmH$?y%bYJI%X*%Jw1cmiro+$K>xNE&=d%w!+YsLAl7b zGFpZ}9{5k>=_NYd=yJM%yQJpR08)oZ?Yb)H$Q73R%Cdvy@`q$)J40zl5Bw!Fmp=rr zd*DDRQlTNKsSjKx`S~eqTxUo+idP&m6y}n~nG#HOkgTgnUrW~R1BXd|_YzPskI&9H7BvAnC(B-f}VJw#PCp^?irW$`#s6J3|*bi?B?uUynoCm!%^=APY}V zFHP8UmNK-R^>bKS)q_<@!*FQj&jn(k%q!=5m&Pt7h~dp=A9NmT-^Czd#0W0R8s~5< zk|x(s6YCtr(&XW?M&Q?2o}z9K;$>E@|J(gp1zIyUS&N@J2wBO)2abW<9c!wk2SFcF zJ%DO+^`>OI0kWUryxzV`t)6SuA6ZsTgmFl1mf}1QqFnPn2hT&zlhyK7<$ZhY>??o8 zB?kt?Vr+T-=X(x^e={J{S(5qdz*mtM<0Y)@2Z0gtwMRVhXaATY_Kzp`AQV;~=;Hf4 z`^n*X2fmKH6vNdaawaN2peoA`Yx==sc=No?ftxJX77RG4v)+AUGd$MFT3-1PL%}xv zULKHz72s7Z4`haNL3d7IJF~*Nn{1q0qa+USe6q{$5g|twyLpT=EO+Oga#-7%i5`SS zuvylB!@#x&ELt_MeOqEdkM4`iQ~8dpVTThCzz{ZiY*%7LHDI-kqFRlP09X!4sq&|R zgMP~YGlzwq^J6wK607uSukyR-)uQ^UBv$80uGeF%^YXW3nm^#Y%JaY|uX1gMV2Dj}D`6waAM@@2N6M1)PX|k`bfxntUO7;#ld3#|sq*W#&{!V~`dqrgt6zDm zBgY1LUV%@Xv#4ERoaZ@#fiBfQEt51I3_WS=S0Tug9I;(p{#SMOhat1MJTEdudbzppRm9kwETRo#R>kjN}P&#tgNG zcCCkiFo@YG3c2MY;4300d(Uz{0YT0r1(3T8d&JdODQ{;?RD0aS54dHeT&2I@Q%Gk* zT*!JlWEpKOIA)$PDW~lSV$1W)Vj7w}p1D6E&!m|^&b;Z6PcmG#hcObb4qf>6UbM13 z8&@EYv;src(bjU(E{GX9(7^4toknC)&MG=&ye^k7n8#NJqAh=}@FX`dhcE)a04fFf z(F%x(0dh+g0m$iu3USJ4ZDwG|%@6-%ULD$Y)u-|U_oLmh$DfER+XHX`>u7$#K3YJ| zhXt`@y$%<0j4I?QYn>V0liUOHW8@}~yFA|?sW6Q0d36Bmcxta+91`?!x{6I6VwJ&X zq~jvbq%1*R`D1(0!2lzDu1n<}Fngm|v!;X#x)K{_dCjk{OUpZ%>bW8Li?d!#wpDv% z?pbol_2dgvc4Tsx=T|iSg6`B4Yf^lq?FD)bS;sO$J<7=+oTFYLZdqC_6Jc)c;jD-a zR%^(zu^Ih&?v0^y!%Xx^oNi_{EE#0|7+9+0?LrO*`DbiQQ8W7Uj-bO%^_c zW6WFuiOYvvWTiv=L|$3?mX*Oc&a=2g|3Nr~jI|TClf$+>k8};dUwNRMsg)BV@CKq% zH$@bR8Nvfu_H0<-We-EZLtYifv-SRyRlOl8%pm6oC&+N*%7r1*d}O9?h)bsNC|kzi z5FVh07=0(5Hei>B#@uw!D#eka=V`QL9isn zb((b!kHqk6oRa^p(s-{LsDJlA5l6xSL0&RcS3lBoxlV!_D!sLG)NXuzMuRNbT z@|O{*j0E4iOEME0}X- zLR@logCSjBr&A4_Wmz47b4|Wx>)W@sE!>h*iW@Re&lcqXcK4OVqiqRBv|QICiw=zJ zxh@iU4te~@Y9Bi}j;0kD)k_vjc1q$x&GxVIh!+!bhW9|u!6K0Jk-R*DVT63-^(E6p zL9TKZDUaYeAP=oh$t_)ArBBnSz)GKnK>;tXd~K~-d=*k@T*$-h6_-?Bl1oFD1*<$6 zv8^1F6s7fX40WaBQDN+dUSpVD?cJK|n>6#4X=xff!W zen#B7wEQ?S>~b7B#0-3aJoQ7T4%!S)d_}c+7KF|v5f}G?GVpd%X;^w4zy7WB4;Bw>k%sl}4$lXjA2|LK9{K#CkAh=u? z*`Nyu_3{h>L0)bM%#d7}rBz)^R(0g}IQh#k4)ZczL~|>aza!V?WPENbh(XH(1DtfZ zEo$WfWP{fVqByxq{TT?x>6XPDUKcY(4)yT3*T!QPz{{ zQYbXTtByULv`Z#j_{V*`KkD=Z#ZE{tqhEXYioH&e2^<@r_hcu^2e zR-{hw^+?AfJ}m87h!0B#m|`5{`6HSIn3sG3?pi5A6&i$y9Vv3<=YjzkccWP@{OQN$X$!L zvZNmu^8rh{0+TLs4s(QjviYnauuNW{Y}dGu?LWl=$#MnYcsg>!&iSix;Uw(JD??Y3 zDw!uZH)|K8Q9<~aRH=*2uz>SD4_CN`Tai~D>E|J9vW0`?*N-h{l<6Hhw&mM(c3AXgb&AlS?O0+(;i+hJEza{=MrkOH@?3Gn*XtSiIsoBINO z-n_xV&zn851)ko#2U$2)E&wqga)SUYA!loNK{Qp(^Px9SZP6&HlcpdU^%hyw2_xal znj>7ZdG|p4Q_CxD@3LmWGn;oX3y8|kb9t!$wt-Aa7p`c?Q(N33my>){9fE(c%l}>G zF8q!1x2~XYKZ+>l4Y(Kc2p*Y)3F49g3}<83+Q*~I@hDV=8b2N0$DWHr_Pm;9C^tP{ z$WbDYXW~wVtcWM@DL4YhFffG?M=RfuQ49qhNBQ2&mIE;ZlV7h+JeIn3pb#vP;56C#x~Sb+ovp&2?0B09{%Bf9A+Hh^n`P ztSs+{aOrLNKXb-H28*`bu;e@kr(SDv;mA_{lzG zgWoKl!VnOYcLF0k%jH)YpKv2)MQZ+>PeFHgzyMU@kfu* zV2H~gocBT(BZGy9b$Q{G{)IazuMQ;00@QI)eDs{O9$5_GL(Z$svbfxtFNpPal}MAc zD&;3<9>Il{({Tj?L#R z|4&)`Rtt8t-6@M5V>MO0L37vT{~>zLYHEyw7dqEQ!crg~F{`fb3Hb_JzY9FSz)78V z0ywEpZkw)K@#>3!esT33MNT80_v z0bZ7u;#0*P{>od6JK0-bEP^nPBZLrU#U3$)dCDV(PUK5QAN5os1~G4JU_V*%zr=hL@PkNe(ydyV+7Gh0 z`wLXpO)|yeK}}d$VZssK&1-g#mvQ(oZA+% zL>JUYnCl?t!(x3xv7P4es{mfi{Q4^UZUqpdiY!ouYEgtqHLixl$PeUHIS|F}QxVnH z<$uv_E5gKf{=AkIv}#HDlIX1CH z5G1$7)auNm!$g1{^^s7{3N&YH`SC4d6d297WFtwRzrQ{2inNGVFhJ!{u&uI zC9}Ch%uI8yJf5tZR7<6p+hXL+tAedqo*s#R3GzxLlaRNpdu9Ce>-2=nb~vgfb0I+d z>4zyHVij2ybKxudWNRh}Y}HK>I0f1w2SaE_<{}2q)mlBFWw-D*M1{L4!=e+x^2^+E zj{#6?yJ6jp@|5u=>A@f#S)bvV%y%!{E-b1w%UgG+cAAVJIP~)K45iGnxW_8oYq?<& z=Qy+6#kNrqI+(k;XAZJglrwEbBw$iPYG3-d2J%$|@@f>T<)psO@k(())B>yhUr8zkwWb z$U2FJ;++E|Cimrb)<4M#G#sTFgwIzaFT8{Jij=L+;s5Tw$k{=Gd~l&aG=P zIK}elhE+Q69Ts=Avn+t*3M+Fi?hNfaQ@V3=zdPkg)m@73sme+QS&pg|kwZn~DRc;x zkwK|SX0^?40NO2&f8#A{Sw0fyT$jdhR#;l|a)X$cyj(3+HjKI|Pni9YxhPlm&mfnxxh`j%T4Qk~FY6b__O`Og1Z<$fda!KY1_70%+@w7GI z&MG4f_n?eeh+KbU4A@x~FRvw<%6*75LV1d8VM}e6peFH>H%ly%u|q$|whBAm%3r91 z6n4B^y(8+#M%YW9(s0B)1alP1f}68MCAl)ExH?5DnR<$DATYJ%DF9R3lK+=DLXf0D zw!ae$rrl1-;PjU{!{G9QY0nOc@L(+>X_J0o6iZa`{uDnv8WZpPUidQbkrx8^#mqy(RmBQAFj& zTRS@gjO8xx2WN+YoO;>O<=5;Z`Qwk%5be&s`q?XC0MXVG6Nqu0<>eYSkR{K{R045Q z-c7)Z^z;A9W1}H}q^8BjsE^VI823@y{2L4xse2kCL`D|3n30=>h_obEYu@^=TI6nn za@2?WC2>za$ix;1p5ysT~HAbi*H;9ej_)Kzf3a&AZkS_m=m&`aY za_PY0Nb3rt2C%SZryMpoNXw8bGbDtrJ?hYJv>xQ@ffS?W3QU0-HA|V4=ZzJ zM6NudDbiFy#6a#FL=0q;7eM}LodT#ouZsZn%ilHP4a}_uOuqC@5xz2m=vR?jj`D3q zb(Cf)kFq$WWs7o%0sF0$(@9*Y0n~qNH`SN{Xif?>@yxj}3#*a~J)0K*tY3wy>b!wnVdUR|m>YS-VSOv?;1??3J=T6u3olu@o;>p#zrd@eQ%SC{vT$reT_X-u*r)_dmHIFNR3i zBxF5BKvdQW>J+U6;ZS*Rs=DCR<=Zeh_;4cEZ(nk{#c^8SX0hhEF(k7hWWg!ofGv$> z7?b=0EJ^tVJ7-O5cEBw%ly>G;LF`N+w@9V<$TT~GyJ!{zHL~0!G6qVX3`A&od1xWx zsmlFJmLvo`x^7Y9Q_n2|K^JJY2)5@ypw>nOED#n&!6I! z)F#rZ8t9~f%QBDL-gFvvO{__VWl#VRRn%2ip z<&>(jA-z;?sqxeB5?a{cjmqzyPK!CHC3Z_Ik^55emRQ{MLP!nIU;OS#OF4?d8 zs@kpV=i4HOv)5)1y&cmmx76M`D)y1Zw`-7b>qilu4auSM3TV`nxp~eOjeBsOd3tZi zVqJY@i5Yt346AJ9s?4%DLYqaCNpYEzppBdV=1>%9a069k&u2Y&qaV^?FUkl`ZutgT zc92{uk6W-y=DlvHC-jwd4v!{_%=pov!A2>?Nit)|Bga9$vOrp!a#1!TpA@;u$Q)+= zI{AWHsNnhRxxS-{H4))x(mNxA&lr(P-OQqHdGM3V=M+KhzVeZ=JF8O&lM27Vub$@~V)1h4Oy~nG z%S{bs7Oa=WA@p|5qVuH2Rk~-2o6-;}TzmJX{HVeN&d?(=%+0y{CNPwS_&)i2iD?V* zeM{t{C#82Wpu$x4r2J?Pz&nt?psW3RDq&PZfZ&k(g(b5gLa;2kVaeGOV1+CWvN*rT zPl|A*$p1OzMngKZyn0UwgTY~eaVV1-9I~I~;Hrk~XQGczm>p!qPJQ7NzV${kL%_(| zPyF92R~b+5;wRmOwN6T#ve?hH^l@2<5geG!TXR>Pd>V+-0IQI?!%LjM9gaI0ET`(% zAWu+!p(Ja8Jb&&Ni_;SJ#ReFK{F|dM+S1sMhCsU9)61rMF0N+mWdlMY4@5+|$>a0q zZ>_4Ql6@$Ek2Jrk>7f*1Z6Y4=ajova=|y`7;?gpBsUZ+8FY2qyB)3SkT)DnwRa;70 z-w=A1yTOvk<>GPv t=YFAUZA*BinuVU_&sD%7@|Emh9Juv+DFmVza4=JyKILIE1pk~Jdms5W^ZJG7hSoXa)Zst}V! zHOq3gTH#Nx)L+(l^lv@WB9<0fI7KyNGVtJhAGr|?}ej_Cdlo2 z+SM#tFaIq8?@jW^L7cL~>>_A{W=Np?f1UDplL+-!7Q66nYOvW|j#Ast;Ge8V#jQ5- z{WH_{Py_xRKi{H2kXIJ)dD~OHf?G0?L7s9p+fz@bd-+k0yUkud0~M&F{P8#^%ipSQ z?ImXsi+s%5&W@DL4AX2|VWr^dv6H~0&_!=QkJ|`3kpPGlOm#WMQ>hn2WVN4IKbX2E z-2UBHQ!*Yrtz+f9&yq(gPoeS|pC5sZR)GRGpc4h!OZ#}V$ zdAR}NlJ%~mY7z-*1sF4YTCUzNKzNVM*h-BQx2Q+Y#PX z^MyQ%I&+id|CQa|EPK}a)uirv)atChgFKjNtRsk`=a0b&D($ZQCl;aqpd`A*79
;|hy^S%Q(kxsoG@dmj)fuu-!WiOU?C)c11tzyY~YA;1OszB#t zifc8h=w1}h*nyoWX{qSNAf9rEKqNch6Z!(#MS78=Mt6W^c}G~G{0J7Lm!`yay)+32 z>%c(t{Ke36W^U6aq&U(1D~-LO5=#A9hWUilIK8;tN&m>A90i&AIx zqJ+}jiO&HF8Ey?aLpoQe z;Mq7T)lTH z=H*=*F#@JAda)@{o@fcpmBf)AaEphnil6dFK^% zDB+ZmDhEVCGNSjUnR|LuLu3b_AbB=B00a8`5r73;ahTKfU$G2Wok+@-Z^&n~4!~Z9 zG<2g#l>#$hq&H38+FSJ{?5UITBQV$wJWKA*CJ4k1NJ14^Vnliq2E5+X!q6M1-t(^= zzFraT-F%C=ctyPTCh@}EQdA~!xPNMRV**{6OCLhz*x@3Q(iMCIx2JoM7Ry^=kmzv3 zOYg7tBmayJZh%-*H|0lCJ9Klr=jPi-KKK08|1|CUBZ!9%y3mu`NBw&phY2Yz``bW- z>DZG&QFUD?(|Mig1Vl%aV}~YLykF4cjMJfZGov#M9xQ>Zcgi5ou+Cg216d0 zNXM9K(;qEe?ZdB}@qUmz8?`wfJDk?J<>9oJw~z7jzpyMJo#V=q>Je~5FOi#;K6On) zLM}EvvaUn!awzb;ay_mH*YcVJ@xQKgKnb#tgh# zLu7FSb$GF)0@Lx5ozhSDX&$AHM1V4WkO?rCwj?~M!$*}jQ#he&?v3^HdArDbMR;zN z|F_ofc&NlQ%ECT1jbt~slQf3~&6P1huqR6MIEG&vIrnVIDc?;%gQmpa!0`M z&VLITL5DLetJg;JC=FPJRH7rExMh8NF+3Iq%t2WKG&|yrbBh|6LvA8t z(|mW&l!vsjjk0c9aHG|{ktm;IhZij`8|DVfDm(mO`F@ywq!GpvP0jKO=6MRwmvpNz zQgo0g>fb-ZYHqPT!PAvT`QiyQGJ^KCst%Hs{Vv^73+C6s>?31n$sxc}4dxD562;%) zC(BQ7H4nfkmX%~U#qvgnWP`bO3d-wi3$nArDJCMqqx0*Jwv}S^`cfLiZg~Vn9y(qT zqnkxJ&MwJ-)|Z?6L*9@3J&f0+Zy`1L9Zjx05Ndt(%-J7k8gLJO`yVvKf0S>}m6HU{OgB-U42EMS<3J zxEu3M4iW>Y``p^v(8ROMKw~H-tlSbGUf-IbvG1RAKA2d=d=D#v?F=!UIy#3g|;Z*qDNHFrg_-o0?1_&&2-Fww<>0O($3ti;^Uqu&rOV2p8 zp$&f85P#hORc5XmCfFm7i|2BH-$Gi_yvOJ6{Q$l?Q;2gPfbL&Vz%98xDmHmc8v$75_Thv?{&iHw?D@#`Z zfIW7u>^k{;gT!B>)AhF~S5dzP^1ey|hphM2h{Z-xi1+~6MgDkL?xe2`36_T@Xle5Y z!?c&)U!R}}Fzm_46t8_DA1DuC`eM4hX;rTk@x@>r02h-xxrqM8v}F|33oC8 z{m9)>BksJK8)q0Ls{AioS1_V}vS4)w_$HFQX;kIdAI1;yWEnv4e1ihZUs>|64x@y~ zFOamigPE%8zgnw{B#1D>#2}y^p%2|fv+^!8!j39Q+6KTL(o&$e&!76Lnp@2^82yZJ-I1_LuLS-F-6X5`v6#@G$~JvIHStZbXaQK{5gUz9d#dR z9MCi5mmk@O0maDcXFWrQ$q^04uox*^VKlK%4X5b(#OzZYpl(QI14fajo8c%@Re@{B ze>dIdfMZy>D#TBN+vZSKeFiv%yfj-r)Lb4T6M{2)fU7{p0murnrrL&>Fa|=#GG)tX z>JuK8BlXF$ct3_=8S)olfzB^n!s9rAWe`zdC$B8&^#+0w@{DZT1MZIb_J%G|e?L0F21WsWA%V=a1@i#wd`U2SGr~V$1&cVM$W+?TWz}hCG!2 zg(GuxAs`!oKIG-EtDo?d^J#Vf`H=sWbio6lm8^Ai^?47&X=G7#V+8N3JhRDoXfXfi z23*Z`AJVT~87W6svYpX2?rm83einu8b-=5g8*Ym6e87Xeve@+HQ$ndmpHsUpN?16 zoe*x!CJ#t!z^j=LkqGR|)d7wmKi$L;K9;5b&NqN}Cl}Bq1IjDU9O*VJP%n)PcqHZi z(e-naUNxz(ye~FG1t2tO{Q+Wz=QX})K8!*w z|Aw7OfR|Y*2mtVx1hAPJ`7w#@Mod*Rkp|iKD^0_go`vSEi`jdDTp^>)v9t1Y(#!I% zn@Ls!$Pq5is*qlEl5Y;DCwo~X&g0dv?Qmnf?~5K^E4&Ha=WMyVEfRbtQLx??*G=ch zuvhhLlAGcwpMt6bn#I{v%p^5QH5pKYIU-5hHpZiPN+*uqPaoJ-V=1SSNho9J^NM6Eqmp zXg}cd_K{soY#z?{9*IpJe$FoDn?q133A>-k$K4cp{O=t+PPVpe+UtO}w$e(_nKvUn zfe)N>*4h9b@YF=R3_oO$<6wI#8R*au>vJOu?QbZR`wQJN|2H4E&fd(;fR_yuiLAz# zRFfI5{C2J_AY1)Y8=O&vRkymf8mTcm<>Bo*{Qv1}CY8mv#Xci%I>K9h?XyloJZt3| zYcKDSh16;es)hL>QW4F{HNnEM;K?47(+i?oy6eC95N2}ozj?sluBj9UUcz(D(z~&f zA@udrVJmXyg2~M!TY%nWkRLT;1@i9ZKKA}?=+;e>7+T1r77fPt zzRKqQfcgk=B|&qsIRF@H?gJ9+uQcGcSbUtZSw7erC{u!bU1oh`n09O zvT>eoG$8xt{6cUUa>%wo{IEqF5)5%%jvnp+Ja-T_bD8T{>Ma7%hdLIJ4#wtX^;tk@ z_2N9{Z`*dt$L-2%+x_jX8PnDVu~iNzL2S1K$tadAIA)>gfTGqc#cG4r^{ zbUq&h$+F6_%@^Fhf@zy!0&{5*F1 zCYl>FhVqI~Xltjvxzcwl>r~%Ho@VU;%NJKLOb81U?uCPEqAHh~vm~YwP)`Txm~zKed?H8L6>gjOxbjYZ0`My{mCOL}7M!>zwMFH%G!tOU2${ioL78h0?Wh z9rYb{*U!!WiX6DF@_VeX9;-^BjD$VbX2!8)k#byBtj($ua6mt{n$B{wVN{cst0T+i zEli!u75QZ{SunAJT6t?mEWVB9>PhH58%Ve0FDrbM9k$HIKCo}w-8aN)BO9qcxYOI% zv^X+q9X56mIEF>3degKg(Cf{*+#;S*{3y+U45u( zbr8K0p0#c8f-{+vniC6l2h%H08c=~ch+e;5gl*HC$)3$A;CgE@j_vqk5m{`+`B=$= zNHsM2H2FBJk8{{qVZQy+LYO`{rA09LB(>5`OggLPas9`-r#U3WlL+*nK8R%yMm)D6 zT1~p+53%Lp|4wZRExb+4p=2GwyX$K}#GJ1589l@MIxKEZ6fmu5v?oJvZG}g0(d1yT z?lHzp>QcNt6c*F78EiDDxmnFeMmkyWP^u_`T>NBa?*faBM=9HPjT4%)?N%^?`LH#q z$I4@)xL+N_Mrofr)VRink8A0p+U=`&{@`v?s4t%chLGq9%WRXvEMPVXp3eVIKCLm* zh&y?;*YD!-f6E>R(GzLdDsOkqy;98XgI8(>o5rqbWu0($ax|PB3evJJImf@W+in5l zm(%w?CgV&xiGDRP+KsI|ZqmNTiW?p;1_kz*e6z^fum}AjbqdCnjH$?J|ZpT=Esj%8IS+JoN#V0 zJ|7D=|MsNJzQ2rF=|5{W#6ZkQZEo92XF2k?zu1?~>6XAfS=cfv;`VPY`*b*tJ+P3a zAJ@(*@86yKFm-?t8*Am=;zP0+5rbDh^w;@?&lBty1}}_zf#<~)kJRUjLhuV@4%p*f zU~ks%4sPf+kL&{1?`a*#3#^#+FfVu?eizt@wkq(#xqE=g@M;Vmbp1l*3F5nhYsLL~ zLn*d@?W+cL$J*|vP%Gk4-~~4++_yA-n@w_%y>SPqk3Dg1T*iBDQ7x%QPK?}U%hP(A z?-vCT7aeSA?0yR}u^1JuI17gXi&5crW1AIBt94VwSSBym5t=QvtN3ZHJ`~T5A+ypi zX96|Qb(st+Ycr4UA!ZEhW=mx2u)H;V!Rj`+f&Pzttq@PWhqnKpt1nl!7}k;dl~x#f+@1^0);|zNaT=~=FGIX8RRUZ2fe7~n(UeF4xZ@OI zVlv-%5I9XAt@bM{F!mLvEpL_Abot!{uUvotFkLC^L32HR5^p(E_>Q^Ja3Edg%WIfW?R;n^s6Zv4x3I6F*IC$(va z405!IQAs?{3TpzN-jN52Vr;$-ODoZ`wym^sL#S*HBi|fHyREa9Zti`&zZ%ap`R>-H zg&gp{kPcw*aZh?{CQJh@(~xMUjD92&xj~k_qfEaBX4!|IoihPh=2>vs+yP{nU+u8+ zH7wtjZIF;;?;5+`(+9X!z%a_68-gM&OxtQVZpL2gy5W{fu1seJuhwIe0T^BORJAP& zAYI=U>|kg*(;E33MB;Gcdf!58Z(33si9U1JP3%;x0 zr?T$JeeliBdN$Z2umCN7Y%3a2!ul<=mi+E~hJ)kW z1D@RImBUinIXIx6&2J4j?t=GOJir|0+4`_j8ht#4{qRLnN4m0=Rm)t_HW^i7&qIWBg*m~F$>}^n9ebYYH_`~A>}zi34;{OFAU~wZh+Ce#pgMA>L6_)d1)jiukHwRauZvb&pn=`OX0Jn%zz=rwisR2c3dh75Gu~bX?65}~@Zs%N)IIt0 z@pHuC%igVa`%2kOEonZ)NVQq6G5gb=ktx;+WPuy0n@E?0cVh&A@hpzT+vMtQI~%T+ z!i@uF*w4=Fh2eQjCXUm+egk>Vyz0Y>uS8Vin@*FLuMK8&9pDY44r`m10Zq?$N;jbC zIo}vTVl!W=Y+2zHYmet@^>5{MswQ>yb@NvN6O-}Tlr2)jn8bq530eH#+PBNQrt7P zwHF3GE)F)RiS_(6A6Qtue4Ar!r1SK!JQdG9zZejd-_?{olE25APpzl#OU!F}1`Ms#FsIG2zGJQN+q-w|U~~5LFWV-6 zzbwNPcg!Gucn>KKwE~HT29GKB^F2CPO2h%nEjO^oCJ16ry>m?CgC+Na(;3dt`_?K8 zprKa=FB^5nsIryK^6YR_S=Ymo>)vBqD9tiUb=N8n{8!yq0|flb-v*1&fceo?C|l&g ztHhq?N(VSt`|5haENmc*0sNO|S+TVN=E@H!G{Ct;_vrE4V=~*`3(lo&tLVfDdH^s+ z=ZQ^bP%gPe#};K|L2*-_&A$&oW=Mu%Sy8AO4?cgwg3kNP6NA!rM*z%d`Y<2W0Kbxh zUpnt^QTxu{yLm-$%Ch&Bi&3zJ9vHOl05;wqgSOiQHa4Y()n`m=ZoL$8!^*3-Gavq* zvp2rtbY;RUivu7v*H+n_8omzh_LkFx_Ey{TfKuxm2&^8`IkxY}Iq5dT6y?t?MOKXI znU-&7xJ&5%92WP-CM3w4_6O!0NO0noTN{S++r;dcGnoU`v-OPWeD99d8GyP~H(8sw zV@z+#$9+f^A~}G4j@aH&R8kl4N3rDB0*w`X}fJ{$+? zh*QqCBj21%(9!7Z9G1R>s<|x?maN1rD)#*BVNofRX9^}Ytgvr0EIm_W5Gp*cc0HGG z1B)HGhMQk(F|b4>4#lvRtZ!YmmM@;vJy>W=kB2EV;0>fIDGs-==kNK?+686@H@Wg| zhl82bY0P{0Tm0t7ru)0+u$N9|0W=VE8ed0_T0k_Xv3Yi|gK#FC9DiW=X7{VxA_Wt@ ztHJhSqm}C4fy7Mol^qiG8ZNLfTV~b+x2TwM>`6M`~A*|im zXkT_UA618qZY>dM4X{SJ@@=~{NTbH*7BxV&D`k8-ym2%_tc&-dGHy6acXD8mEzfo2 z*f7I$Cq2s2vbf{G9tZ84ZzI-EJ)i~;yRnaO{+aFrw0BEQ?>VY+uF{4TKcDgdHY>Mn*|7*@R>T{a=gqL>q4`kG z*z~bx4f8$+?`(mCwsm+hO{?P&2XeT$3d;|B>R%pG=Q^iQces02+VFrLrOAS775qQT z)oqjx{HHtP_&dn%-7bi}+%;4c_7yOiK3nWdS&opM<#6uXh6T|y=B9asPjbeSAS^JPD;fcnfv`S`(un=3eMTL1Pp zkk;@($z=ohM9&^$9|Dj;$D!G0Jx?fF*3*`RgNxAM&+)oywSyxidiI#?Mvn*Xta0k{ zuWo|?j*Vp0J50rb<!w|Bvdq6F1I|5fpXhHTfB450pt!fvCHdvQw z>u04=0Ir9$l7Q^PT`;DSx%Z&>dCj~BPr7?&@6&+I{`+}?oa2j=m}Z5ppIDy&gJZ0} zat#zB^zLa!=k#=40S&`uHem&>*ETX?1rGSPJx%;CDQG9CF&v>eOzz?Au>-|?0`9OL zE6j0aZityr;K=r|yGIUJnJ_r}QOqQt;HHC4n1^``G!=V39`oh&=o4fRU;oeNa@S3J z(+bqqWW{#zdYg~ym1np~arT%nn7Va&o7e(uS16~PKNI%Q5BD>{jnLAsWjIK*c6+w? z5H=k9v^*X?{TzV-^Rb@+k@eHA{XB}>tp_x^Y0>_v6QB4R_@;?mR8?Fl#Zw6fuFpV!bcft>u7g$dxKpMr}uv*jp-2_&T-1v`J2))06T`2`$(#vU92F5Ub* z^SQ7{d-eSE1uJ}J>bP0Sz2?&im`q=2`LR}uLlxHPY1sijU1e5}6D|zSn20y$f@Z(& zdwjMrk7NOEn(O>Mb~H0qbR-kmg8po_w-n9n5;J-Q%mpYfLcb zAMCevo7f*eKpKP3{BW6tw~xosA_jh)W`$(O&k*l%VOla|DlWXadB7H1GA;<*MgT03 zEj_#ZTx_s_*}jMf8`*6-QT(u#2)R`~o(byawB)9?v{&BU;v;m*{z*G~afS`S+|bh~ z`Q0R9?Sk6D!M&{)=jQ0NFt%4DcBH=NGkbi6zryg0vvFOkbjDB1kI0qj@aGh?`bs14 z#(X!%F4x>;17bPomYw$Q4KzPmzUhew_u8&v`pVV4^C7p0(12lg!q`gmSLfry^=5;$ zOvJ$Ru)}`YEALYXh_AMOn@xHGcFPmASM@wsbF|8y;-=fqhM(%bI1Y83H61xZ`Ht;k z-}FRko$dFZaP8Sl>P~Kg!ArRWHmR9dedZMY8eSnYpiiXb;_7A?uvd0?(6RLmxL@xX z{<_0A&xfPs+>&90=HZsBT`wi}1Xc|Ivq|SfH#tBub~>7X5$~(APh>GTeze{uPjAY@ zpYQUAY+2}tCikcz>-ah zZNSb|6SM*DI@tVuN8L@M10p&#{Dx{i{ILWe!6rEn(ym6a8{g%t`O0ez8^cHA;s_Zt zW}ZL4!gy}GN{^EdS6bttHw-1Uv_7l5uTHau&+F9W2%0@KGn1yzB!2O^!USZy01W-^ zV_ep@8LP%N&Db~y+(2UYuM*a7epF}7_LI!)E0)v#@OfX8D#zn?MsYj(PjC*554bX6 zsdt$};zW!fhwlliBbAiyge~sHm>&e&Vj!k5Bf7g5Zy%4GKfpKOm}u)r5Dd6kWSh9c z+-#rG`~W`nAeP6~nrb~a$_0#B<-q=xRHotnd}o}UV2IitnPj)u$8$*-;&Fme$zx-y z)%|iHS-8+N5+NE627jMUl(+_ech!>{&3IMM!}G1Jhyw;B*Y2&cjYO+BcTjF_&@~wB zD@Wc(t~(%5IS$)}h|Cq+QPbAE-rZqUY(kA5E4H1tCjjOjgVO}Q+-==_eZM;5Tp@od zz=*USn{9t5gMZ+iC_@$zab72xL|j&P1|{;{hg;?kh=bHMUIg~GO7;LUlI zqzXCakPkg`hNC&wlR`1(@R%VCSu1?i>sYgXTUQ4(wQ69`KdCgg)ERnuA}NO(y4lMs ztQLi1)VVq1)N5P=X#(t)OlcFYrjn}W{2%WpH01=Irb)N5i6oDMyv8f9c2)P!JdnQ$cS zIGwc!Hq=@|sy04{S1Gsd(e@b1X4(tDVpnoT1( zT2`kK&59pk@S_@LV0Z>Z+7f8_71*yPg$ii?feE%{nl8*}f*@N*cytq&?}FSJK(E|B zm-2)K&7td+a&TA`V2>w&&z^ke;qNEVFE)t*Z8o+U4|$ouHd6tx1r^xlveWKygko#L zBuCUz=hHVhn$@vHWsC;vCObhN)jGpAvuvwOEddVe{JF)!-(Fou_<(HJg}sko*@P1( zDO>qr{o_(?ewTS#=Cqw4UhW=kY-RgOecRn4P}@E!c$iDFZoqozAO({!8cXWc7Ea2? zM#$-p&%|c?$mu2Gj@Zz?B8<=;@5C>9n9)1{`SYW&BgVLUs8v>S4^9JJb740H)IirZ zaZQ;pV&t0c9uY}uhXxQOm+nR<>$&OPFN-;!09iXwh9k;o)4xsVkcSo8FMp0OZ8Mxs zfS=hETfu;J_Wj}`5DV93p#)E3Bwi}@b>*BD359=`Tn_HKlq zwPn?qBT#h|J=zPkwmu*}*yG_B?7x-!C~LM#_~oa)d$q7IZr=ZmLhF+ic02ayF22Yu zyL&sugAbw|NHjB)u4nhKbW$9#byfR(I~)y_!|Xhg1+Z`Pg^BX|+p%Xa zKzsd2ZoLR>ZyfK6$^GJ^j>*IAG7o>AzMGhew+yYz13#ql1bxRg(P?Pbv}en3MvZBY zmU-W7;tIfxm$d_qSM2ucAee2{sySigf?eA`AKzT#jBA_PD)oj5@ag6LyUwEBcx2F@ zRhnzLhOt<{<<^H<&%Lm}SGRyfmSeAWPRRT7%mj@lvp?DWZ3Vpt#cKn%aRkh+$1hk9 z_F!LuzO|5VdZbo$_rM#Hd4bZQM##zb3m^T`Dm`Y1|2iGwV2i%VBi$U7LDiNNWxi!Ts1aIfQR zGJ@jAhoSWv_M2X=dj4L>8p#6bu=lx1+t0%6@^yUTb9PzsXxEpfRd0vtXsY5WnHqHg zR$ZQ&hR42`01kjX`~YY^l~;BqSO+AovVE*pPLqAyonXN|@1Gp9^ok`mFk1$}K+)DW zZE&!6<GJ@Wl3bz5tm8wqxpU_9a1X+~ahy3^aZ< zqy@});k+_%@v^kpK8ugZaV~<)N zYb53V`E9s3bk?D_3zW%8Nr6L(wmv?cS;?2B=;Wj`9R+8{2tqq1N6;X5Sj*7pz&NxU zC_QYcjfa#4oE_H$n?=ZX=m15Vbilc#3q7?9X#oI|$_-97MFE}q5;QI3x$AEJ>L!oGZ?}vhlKZCZFn}a2ca53|JBK3+ zAosBEKhtivQwn>c+XKB`vx>d0x4*P>8w4rUy$@gNCLi_~briqt!gAu4<~Qt^b2cOl zbL3&THp`bm@V{{Y*~7k@)%SvsY*?&u=ddkbz##dgJd`scYAr&=eYLV|dSPCMj5AfJ zlvbI^+`x|OTYw;OA2WdR0_Lc=snA-70DMLh+6uH7$qI5sid*^)aL02GU2A;`tt}uR z&*O2G!)WD%+zYAn{4i^)z*?Rr$njAN$@8{vvR3?l67%v}4(o9w_$znT^)bN}jln0U zn;fZ`BXOR`quZjgNb~?@%X-N$=8mnfqR)*!w#f(iBb8qkiod@T$2!5DXM~q)odD!k z_RCorT)fsvSppYm0k@kCi^(NGJa)XNW>)<8Gyu_G$so$!D0_YsamliXa|SUK3& z)ORzrd|x8HVGZ3o5W==^fLUVh@FXt~OZ23Qfc3Dr>cLrma=MyD)Vip@#Wj<1fa?NxL;yCc z$zk8MoCV7auI|m_%Rnvr(bz7STsg!!fSafO?YfWo`k?!`o7F)ViwT(C`7M6A5 z2yBJ*;4+xqZtrmbv9D&S@3j-;6Lk9@#DZ9rtCM&#>|~XW_Em zn3k32Nh_?p0;5)9v^~jgVv&azK3o3^7yIv_zYG+jFfG( z7F;bU?$FvP9;(5WEA@sk`M7<>iYxBkFT5W#_3q|FZ*AkTaGpE3c(xgo&s`DsbJ?ip z;_uttWrN}gl*h97)qofDVK2Nq7KO!MermHyZ17gN#mA)Mrl*btWgAb$r<&~NE&-LD z)xrnVt**`82Zqw#z$brSavMIGYyIHED>?SInZ7+rfwv!%-PrRUYJAtSb$cU~AH#m8 zwe!_Iw)?~FY12JOh{O*8!u>nO_jAubR?|NJ+zo8)h%=}0s=TUY2|adOFWFINd^I1J zmxaCL88$q2bHldo!0cjg8xfOqtY!h`d-%a|n0cI)!Cp6O%>H4;BP_t#_4!S)dhn#V z_*opm=i0|BhrQP<92>d)oc3x`KBjuRg?__A9|1-7Jk*hJT3H=e5S;Q$u9O~SBiEm6 zC)Ga9a_fN+J8nzv=Vv(^V_@s~05ThVAns?hy6pg2dTD!Pkmd&d+p+z_inB8gmv$3( zAaglRaK>?K55$ubZf}_Pza$s?IW0%@Z%}`D2p}IGB%HgqN9@V-Sht-EJYu(=8^wU_ zdt0VI?}=q{Ws-PD7Hv2P!UjD}4y^mY4!ny;`J+I{0qdr6wZU2Ih%g(+hVu4v>o&Pw zdLk3A7Kw#>!)zAZR@LMa*a<7m(&f5W$nI}M4R~+BtVXNbwwJw&K_{dHdfEn*JI&YH zf&~5cJf5Xz|j_+<_b5rfGr6){nj*i@BYU8IElv57(4d{1uJ_J?{ z**4s@$+nG1D^aX=SDQHY_TgMbcDmeviaS5fpu7@Y^oI4#m)v5XX&g5n@FULf5RPSa znE}u?cl3s}uBL9D%@=f|t=+(m_tbA#8=Sv`Jp=SE_216oL0z)Gp10NZyqPeagR{pyN?sLTMCVhWN1!~U@Zq2eLD$EG5MMYn|&#u z)16vnQV#u_yJveY!0fPq70g1%#5ktekZ$F15ci>olhHS3!CssORinf2AP%!-Q(!yhXVZ8ujEij9CeI6%W_c^L{cU|kH=iSfUJ)wm z_a$0ODXTVM_j!p&mE3+w$2I`y&Nu{_Ww4_?^ z&N$5&3FQXp+{ubLaX!?!onm`Vn7zBW5H_f3+<9W79vtBARksi4kl2TI_zh+nhvxA+ zB5_Io)=zMPlUHMP>-pVcFR`lZ$n7yWP`1NV+QYZ)lmTx8!2Zo3OA^cphc_7l+}dar z0b={hI`)dLV4B}}gAY9X`FIiV)g|2>2xsasfGC$h&TqSL?&LJJ49MZ`nvj*Z<5Xlh zL|*xX;$>fCoQOs8=Of9HacFHY#S|wHvXcoQy42p;?ci>q!=3|rmf)bXK=%z4?iVk% z%~6`fc6p7>Pym>$FAkM5U^n*qWr`ozQ0n#xkM>NTfKebe#gD&YgU^JBVxDpVlr__9 zB}c-ZUx=EWQ>U}wJA7ip^_o7sF^+JxDkcWpp|Uiv;#c@}yUk9JgtYZVitgz!@WOOQ z8wtOT8;(qTdp9;VUI>-Ln|nT3nLU5L!%{c-8r5v|1Vab+Ws3yb3+Sx8IjpCq1hN|* zP>1H(#%dY)j>l49G%q0boy2>a>|{3Fcj57LEx(#Lg7JJ*{yu$$;Bsb8PFsAvv~W5$ zzJ4-TvHRy=OvH)h$tn*I=(kUrgVPPDRvNwrx8cLv9Z6`JkTyJ=uB4as98n%b*i%s8~*2qh;?1 zrK9C@N0RS{WnZQ!o{@LUIdk`JL3?VR4wHBK^=gH7+SwjLaDVPM2AvPDh{Uy;wyF?@}zMCvn>HmNe|Mr9-rM!!Nz^GjbOgrNo_7jKmAsh zzuk4mf?zPdS3G}7%ZInp4UE<&tK^*--b!}h;;%j4%Td09A=d&xUO7CmMzgu$y(CE( zA1BDqA)*`pN3QyI-r0A4bI7|g;vl-c!#80+p0FUBsT{sXhoMmn?3RyEI4a!4WP=R6 zayIBD$M=7w96L)>_6 zHaPP+mAiGKg^t+$)P_Nt@3r5QPw?Q_W`HS~Lh-Z<{q-jr046hzI$=KHI`S>K7Eg;cBESz;;%68iR+J zKaU{oVdc7Kvb5A+uUJXyWsxZxu0<*i#|Aoliw+AmDWcuEM#I%u8NWfRt@#?c33%y# ztfF1>M4X;YcXK;Bx8dQ1nkeix{EpN~EmD7jxyCnIes%Zb)}0H5Rvmv6(;b z;HqY~Lq+@0ARB&2_i|Y2uTsGMs&bIb<~CSs$?Tb=V#5nb1C*)1a65WNG=9VNgo(%Q zUWHr=T*(l4;(jOFst|ZmRvK_?Tmm#c9=>UFJ#R4j(=AVR37r011?;E`7iKtw?RC3G z_8nW5;j&z*p*X^P`-gG*w{P=-N3*71kIzhFTiX`(LWP9m$1sIl)Y;Y(D-?SIS_9W* z66cBR8hu!CQyt^F`0f^= z%(g}xcrxAP-6_Ym&389H>os;u+ZRD&ErrTp)XwZv%b4r|6ujWW&-CB(^qvOqxxPmu zjyR8}`sNmPJdDRztAj9}66pf1;p5UwcYD|MKKeHs!I8pV9U~G9vufi)DL4RzV*n4w z+YS6N=Hz3MKkHi954@8fzsq^1ed66y)|Q)?s&hm{BynL^ ztmf`$BceM`M6a1A|A08Egc515TLI%VQq6-%q4L4l4_uEmK-6}_j`uaI{w{uk-yGkF zCE_l|xh7oA2d>AH#fUF4VP6a=-xT|CVO2vHsn*a_Z={e_i9!?VG$O+nr|R zacrz{sGjF8AQL9nV^K%0s8^G#BN!Tgo`J^4c6Z=Y^kh;tJ`i=(KlsJDaYx(kF6HJ? zwZbp&l)vmr!fQY$Fh9;Y@2<#VIMj@-o>ebqqsv5Q!AX5XvLa z3C*esywm#5hNsks4Sld=4V1nB5iYpK8a<{+3rtHVL+$cGu#-I?VaI<@ugXkd4rF>CR2T?6t zySlvzpx@YG?Dz8|ZZH#_!o&(c9$4P0^~njh?ZanRP~_O>rMbH@58bIZH| z2Pykt*@b@T`M1erIPAWtBa+0ky4X65B(3#}aXg?sbJL`)>K1C^5!J`!NuD%MwQwp2 zm^T&v^7X}MpIW`?2HZWBINibU=~HW@&Nb5b6PXpFu~DMH}f?kAXBB$AR-a zVd+k7DU#_}L<)zF&9WNt&X&LJz?IH}_OwoE!I8v)hM1I~t)raL%m=P=8e=+}(QkmO z&5GJbu1deWsaBJZM8?LBIm*|k0>DqcQwNWjz}&0gD0hS~A0PdaAlL`+%%}J9h+-^O zvoT{a;piD3-w0oR&p_M?K2+Ma$iQqB<+SW{k7p;z$jqT z%+1d>{JAHX;i)^;9CrTRKJiV*sW(6Qv0qP*XcpTy>NT$#y6eD~9_cJ_zfre+pRzqc zNnwdb51i*G{mO)^S9C(3h11|^+;XZpP!Am8#F0#jkt)eju^jlt8B%D~gkRj%-@>wH z#HibcYq0_On}VOoGGQM0#XETxt6vE8f{`{J_`%)YU^`TcXjd-1aD#s|!3S<|-_O`b zktLYpwY7Gsfhb4Dk5(v$Cz*OcYeBoRFskiara1wjbCt`%H z*)t-armc4^EZv8#y4YHyxIgAGryHsB_Tjv>27o#6nEP_s`21y3XE$QkcPA|?4}Msu z&9H8Vd24*JQ3sTEow-V>g26}5bSQ)0c}3ifWeGTNit`B9?TzcusqJ{Z)4~F70VcwSNY+zip=xxRiH#(+YH-Spbjmn$f;#qo^Ne;$1c=Ep_xY|G%QM8?b3$HS;6R;N9V0vXoh8 zID5W#ELhFT<9?Z97u@1+evboMvuUNvS0PU#eLj1j+TPO z%q=R_#1@APTXshcScI|BoI%R`$EOE4&fMu~Eon~#@^%x0ai#L^=ACR7?PDHu|Cvt* z6KwO_18F$pG=-{rV#49;tDW> z?W)E%HoonDma9Eb*5l4>I}()RvmkKVwJzI&mS^v5z7Q@0E`O1!2YDvEr;PjlAhSf8 zbjTgydp149U`YAWuBD=a~&Jc#S6jGfkNXA zEBwBLzlY(#;KPT|fNu{3GGHZ%DGaKgBM}+x!OT|ph%+(A+!`ZAz#U7@kfhIL%bUZX zX4wFbrDkYJo}!flG?4V}HNyqQ69FnO@DJ0?&UdAHDA}-+yZCj;!~Ffjt)8 z?B;2EKkWA1BZGLM2l-Fq10&5JL^pq7PG^3viu|mu7A$tYBS&B zm)%;#`y(2r@%|w688(6ub4)z0;cX9G^Cd_Y(HRy*4AGFz$D)LtYtzma@V{?A$WuP9 zC7TWicYJxy*Y@4M1Y;(K!P1Zq$17bs88=+gT=<4?~Y$vrcrL2&W-}L%J-3gO9xTO%|W2u;L<$K`u zxzr&_+4Ul}bzEmSKh-E{n82mqzLm+Ml4tt$8X0WJAxfF=I;_iB3C45a@h{tlxb@8R z04zfl9t%VMeEJ7*$nGSug$h3Yh~Ki>%zGf^C|u8FT(#d<4Qeh9ixnGMVR@^^^S1D9 z%c19(J6^a+v%G+t#)@B_(4T1DegdCjIwX?TSGUJob9V6l*(nlG0OuNdtneMi<%i<{ z$+&rtIV|qDBiQgPXP*>veazqQ;2$gPd<^YY)f1`Ss6TJ#>+zhH2Y3KZ7<)IodNUnM zfd`=fA02DVkgkZBcn#fVvxoQpi~l@u{yWIw@aYwhC@wxH6k40hh*@UDqRq_{43~yS zKNh4+f0H3vjzuXuZq3B2Q}E@rg^|MUh8ymqz&;2n_UNu^;xdP|0|}1B6em>OISwKo zbe^8$DdED+ciKH**+(=k$Pcw~fCcDZJoiD=vBTAE3V{64!&ywH1^wd(0zDvmWDY8t zr~w`D1EDoORuYSpJ%9>)BgCKq$;1WMe|3n6iRBVJSy?0Kj61tx1h=@U!f^Hb+_X~$ zT>WlIHOb+`HcgJ_lPF|PK4*p##s;>97k@X;7SQ9)UwcH%vB#%j;=5(xI&k9?kYLtd zxbeBqbc!+KSk#K8kG7JtBd3WGmLIs?&qwWa;CFYwDL)pDly0gvaV1FlIr{=++56^b z{|?9}WqP!?BOK3}0Uti#ndW$UIiE>#Q+5o&sQ>Rj{>y*;AOG#&{^x)D$A9_n|LZ^e z+duyGU;p(V|Naiif0Xi{|M7qR_dou+I;7;A&Cn&y<}ynIicGtHn$0HuSJV6J8yW4RDYOzkg@y|pwifm zcRC(NjmQQN;mW-3V}E4bv;=(Xy6j7pa>S?jCx_kmI~l%mrbC3dM7(59n`6|1 zpQsJ7xHG-Z4?7wvOkSkS6nj$7TSyV-JHIxPZ}_mb0o0w(<2lz zzHp&LR8pR37L=40D9gyfZ#Dfw_0jUMN&)Oyocp~6PIGe-SWb@g^&{u?!*me1;BZ!7 zvASCW9%dxNg>^p+i}bAY7=L_Z1XiHNh3d9lR(ga7zw(tJ@$^~a7hnYN5jA)vB}IP4 z`Q(pn2{n9+VgWbfl&@iCZI%M=i1i02+zQklky6@^3D+^kVE%;xanC|Z0jfP4Q`W0Bl#gtm>d0-aAI;vbUBV++dKZ; zSs5k52>*po;!1?UKURnF`2O^8??48Q;+y~Cg@{e}mD!SVq**fn(MvsLNjh3ucbTSR zCJh9cIef7wd`Srk|A%5E$vs@cV8iwclhrH{jxt=nFMYhk9V2G4h%ZY(pSZ_7Z)yK zmQSpHqaoRd8_3VOGzeO_-*VqrmxrCOt8WIwN7!zGEMyh7vr{eqFxdFr#6&sv{m%Q% z9%nKkhrP&+XanI>_H6DBt&s z>G%RHb8HiE_mu-=^Fr*K-MaxtV$Pe%GDaj>pW82-NIlHmJAx4J)`>*t?g8dY-l-CE z$Datow;6W?+Juu8k&2%4nmWgvJCt|cu&5#2u6pOzbR-eG0x9oCT4Sd9Vy&9~wU!%; z2KP=R9_Pk1IibN++ui!)7eCpyrg7$ulDZSw$sNq&k2q7s7%op;e?g;5BHXq8!rja` zYnSuh-G=#Oh!3(_>{Ok)HL`;@t~JIxk1MoO;b6)#+fFFCR|fxk&2pv=hMY4!L*BH> zeO=K{MDtPUTO)GtalwP*$ItLwVo8dd55H@~0_L4L9P+cM&@c*=d$7MGwhmX2;nVR+ z=fAHQHr&SHm+^A}H37t5X0?Cq0AUXQ=sQwiaG_sU%i2Ehj^`5ggXg|PN51ca+ckH# zW$~_QoPnS+1-k@ZpRa^N#DN>WOItLfeGjgf`yN(YB{HAMlhn<97g^v`>HEvc?pXy_gjfxV>Mzk$OC?-&$e)+ zmF7MC4a-jttfujk^|WHa>rm1Jf!kqZdCtg1X5xCpCIc&eBaAkxy~F3>_KJOxhpYI7 z5#8O`7dr+;+z@dN-k0!wyJ?o2^*%mdqJ)#-i;zdy<#;l)7`s)|K6;!q`1vQlIil=_ z+gT_t?wZ82A?jN35#6YqaK>3$3ema(h3X5&1r`OL#cAdz@=Inbvp3;#ho{UUp$!Q|mB! zm((cC@_g1VpM}dt5&Av=O1qD^(sBv!xzuTOP1{B-|I+7tFT}~|m=03PrIsZP9O8xxBsSG7!jkgti#x~?GJgCmu;l47Z6Qco2l z$L0pM_)a8jb%sp8kn<`-u78mTgJnSVbw(pQyB0)txKoHdTvf+L4(e?hJo&xpdV=qL0u-aqp6DM%gT;Iqy5T{|`FGe#^djTIQnl`|u$z=cTH zKzr_cAtSQz!K2O7$HY}g3QL%gCWY%vK~fnuq4S;7w|e8sg&c?H;_}Xu%c6GJWD`HL zRQC%l#scS7arW$6!191Ou42Ukb&|eciX-yx>_l{qpWh0*dEKKco3L-%D2hEBoQp;1 z_$z#1>@STNOWeVJWGr0o1#FL=zI3w|2stWB0 z6>b84zOmyx=U?MpMEXjtp21MnxfXxHJH7cGm)eA@3c`1G?%6pboQ1DgF-2(}Db=to z$;4g|wL^j*nm`Idb0X7&U)Z4$@g?hA<03ov#_f4Eck#81JB9`9d8jo>b za_j$_wZ)R~kd`f1X?=pyhmqn|$G`K9Ui+<3W?`2|F^n4V*=cCyeA=ncxzw z-uu)<5YXd8d9a~&97rnx+@^u$<`=zSHrn0_9I4zq=J7Hv*8#_(#rB;1(dQkDTxH=} zbv@0SJNq@bQjSE)D=zF%s<=BC!KFJxSmug!FT=b1)8F~Ta-+%e?pY(ceEWqJ_E_!? z#&fyS;(-_*?lAMP&+oA!zU!`{Un0z>m)wvY`(*V8cKGif-f+SoPA^}v&>gR*-!TH0 zz)GBO$4@E%-Oddq4QLC{ab?DD8DU!S0R`eoAF_?|m-K@dZc3ca{_59vw74tv8a-?d zivrKEhhk64*ZaV=7mnZ9O#O-Ddd8wA3RiHKwpoy^A7A{I(7$QQdM`w<*z}6FaDsCo zgS&X94urSZlkxC7!(BYwL%^E%@b&ts;PW4Q=YWsKZP+Zc-#GNgpE%bX#yb#Jk!*6M zdp6fNih$+~@m@yq=uxecrk3 z-Hnqs$E%6kU0REZiLp?6Ob_K5`_k|S5-kc&GS8*$;iteRG*9lQw@%`-h*S5(Jv*^<97s?+=>ectqyU9PEB$7^S)le4eA$$-x1WcUZ+v+ zDabF})t#SXjELd#cObEW!@($*Pzw0P;n(z?jbd{)qt*O@5f}tc9mEIq!;vn20+nUVj@m)lta zHA};EnPpsBJIXV(7K)*<7k_?RX1RxSlQ`7JwDISWNhB$@pfBA%D>^Uq*rnNV@ISf+ z5*PMgBK(A1pj|zcWpIe2uldAf5ayVMgVEYVRbpP_2=~)DN_OECFrfPGNgEm%P}j;; zvaCRK9&%R9cg!=6!a@;o;cC}>>Ac$ki$=7Qgn zvmbtuG}q1PQPP-%098P$zlWk`%@Zlg{Pf20bIMIby8S|=DW~!Z$Ul#7ogI(7WWE`& zTY&Np6`Jx2pp{h;D143$nk~#jQPM^W??Uq36oBLTCE03Az?J&_+=ab!@}A2;NtGN> zaBEb$9Bo2{*T6`W_&;YKXt zT9)YNs!xq0jxmwpLcO*=KGGgnrx%}S!Q*MCkqVSGM|mGCp%<^#^mg>1)QpC_^F7%( zt1(YF_|wV+^+du4Ry&1$oEx~%LtV3}Rol%CNuxjwdWkRv*A|v0dU>lcOeFoR8pniH zJ08%Lu39FBWDl!2sP1H9uXa!!sbM3`k(+&ER1-C!8Y)hqj&#~y#tJU>$%>Ah(Ym#z z6il5pg^k)rTjPasBaitF4A48j#i_RIX{Q~mS}F#Dve>wFPvKrD5R^}9+`1c{S0hZ- zbgxxpU+|o%e8an{y94L2H!k%%=Rn1wvwmxG1((FBxyN@n`Krr-h@>5$;#BJ9d$xO@ z?2@QBgL0ho$p=o@1E&{xx}QyGk*_$V##d&w&%D!&)xIQ&%j0L96ys!d1?i^dhdhS02oZ^e}W8SC)_J z?p3XU)S-)`;xt@(TC?9PErJS{U+Cc|o9s0lk;7})SlJrgc1!Vvo=BS7>(!1~vv=hQ zs1t8!m&IZDg)ah-?`Tbn{ML!WZf>#V(%|)8SQiK5MIa`Oi_PQDoQt3`xrb8DWw(Ea z8%`z59pQ)n$qP&acE1APILT06joD*<`c1`|x~F4V1xT9){>gz0kaif7_?e7q(YGxx zq=y={wKGO?H;s!*G&U=vj>}B$W&I8`A#l*-E%~J zMb4Vl@!G@ZMjz`dhpNUp&U1A=UU)Ukp7i?)aJK{29=>5kyXjA@Fb6mwr|=`Li@dF@ z<@)?SUd9P@2G`Uc0Vozu2H8z!#x?=DNz6nAhskv3Ase=5>`DHFTVuPAH1IIGsfD#X zC3}i0tPUPDI{k)=&G!#{Vi$`Q;q2JpAHMXQ*enQ+tl&4H8L6A`r2<9nkTt%>P~-Mm zGZ9pP#v_SGaF^5M(;f>U@r7M%+Bkgv=rlC0wgPG<=gcFt3^ z4@6|0bJzjp9_X^cR;(fDjS9GW1aWzx>-vMZ4}tw9D2rH+{rHjB$At62y6?0C(Vp!A z75ptt=G+c&*Yu_!;Y2zm*KyS&0+uT5KjHV{TTjn6`x>M#er&GDLlb#eSnU&ujA)sw zz{T$iKd8p^l4sa_{IGR6Ie>Dfxp8vX!TRF~McMze+%T*{dB^_C^TWKUCw-U!Kx$Uc|ToBVNmK)1G&~W2Oj{I&Z$~=|69`QcZ96 zRZ@KD8}PoT-F(8IP;=kS7Wnge<)oCrG!|M1D>1K8(qB5gR%7`MJ3>m>su{sQbokV{ zF7nt*K-wW!Ay~^55cl|AHz<~?x|z-##On8jtVD_1Xc><8}iJU650gc`vMeg`NWE#1HOV% zm>s51H-y*w2FNPmm^Npw^;y@k?C*$i6Vv|kU`$R)ge{~!5VuK^=SkxoNqH(&y1zZpATHPAF5%7JlQq^J0w5n;J&af4KYni6^2Q#Gs{F&5ZC?1 zNsOq6Si9KF5)+QWF4f{5Om2R|-8xu{61W;S11+!vphRAB5eBi7(e1t9ukb;( zu5r_Qss`bLZw%nkvIn^Ttq**}MSQgj3}Ka^B895USF~?O^b6Pf#SPc~|*cw|_0V!0I|-Afd&&f}6|n(X2%P8|QI3RCBKTM$W|tXk)dIl$o|j z@O3#1pNrWJ%1Ku)5Tnx4Sl>^}Fq{eoFHYBZK8E1npxs70nXoJs3A&t+k0WB28pacf z?dJa)ybugzzE&aZ#c|CP-7V**UCY=NSRmd}pX|7MM>LS(rjB&vcfj4Ob5tz~-jVaS)Z2>kOiAi`pLR$xH# zHPb%6FLIjBLEMP^T%^Lp1y!JT1V}~2WKj3nA&GyLC@+yesV+X*lS9m>^$fxejair}AMYuLOnZ|n%4*ntS* zVsm z!}{?;4c%bc7i(l|`i5EqS=0V@^7hogV?AC%0J8}lZ%-Ke59`nZcVdVB_QVJngO%>r z#Onn{BqGqaA2_nJaXjP5Jndeh!v!QP@5N zECS4N**hO>ivt zw79hE%^?7!0q~sQ;SHW}C*- zCwQ0XGUo_vUueSM6F3xwj;wz9ccNNX%cjSonPb)$V3s-J2ea)&OUBexaYiQrNV039p6mOxt?Jg8R7#;wXg*FDW!%lhCe1K$ddY4Tn+kZgq>;g1BK zd9vdB=B3~&2A^s&M>qIXsn9+w;FM4deFlQ<#8*nn!JgsZ z?2bKmRm4Z%SH}15oTDSmj-8eM9I&JMg&Uzju?ZxlSrUq#w42C60X@O*SUzVhTNy6I zp~%ZD;cr?L%Y{R+3MHJBJe)UU@mhIdHxF%foc-pN5daM@^?E6X-*Cf9D&?I|wXdAm zE!mK(i_&V)Mh(yhz0=LISgF9hMG*Swya>YQ)A)ES&l=8#SHmj?H1O`H?$bH94; zVKqttH4P|wPhUap1pZc@f;e49_d_Fb6>Tt0=ly^^K#UJ-0C@3AQx>3k_7vA~cxPRo z9jt++k4bt4sKOjo=W^Jwyqj={as`-G9)W0GKFk7CPpn$I)L`)jcwa}NhH5~~Ckl%O z(0szVG+^dE9)+WF-pCODx_9l`Ua1wvml*rYC#%0@9J_pNGH)z92O_Zgd7GX$?2$V?oU_$oU6mKE$%x-`J~@!1%_pF> zG*h)%!nD0zt{I@$Kw0K75>zq){`V>s%Hv{KDF-gc2gJO1H9CG8oVo62b9iBUut)bIul0>R4ZgAzyWZwCEBYyG+KS=l0JgNv`*Hl4 zb1jXmSAYJ}uzbJ4h5ND0epw+ngAsGU4U}h*Ii5I}@eQyMx++cCw~@|O44&B5+?d1e z9zB8&{fQAKS#F2d7wgLqe6iu>_9sqI?@=S29(i+{1ta2V`9kLAY{rQ;(yD`?gzEgl z+#lg;O*r=kSF2MRvQqD&v6IdWM{7@@orahM`n$X%S6EG^f6q0qCht#d27KKzci@-! zfEf`vvVG{k+KoG9T#lnV=_1?QcP*s2OSn0S?gqG>|U&3vCL%R5u6 zv_-a~PrR054o&zy4RZS3(XMlx)7C;V#>uxtED}9}4UWx{e?Q{&Z}4+^LM=`Z<9~Zn zH!h|m_{3O3T_Ig$75;vo*-zTw2JK%=SVJdX>v5etnJ)&Y$nXwVZrh{a3FI23pTX}^x8L#(}N_( ztI-8h+K?BbtvriCu9dN`?OgXWRTCJ`v(AR_mw@&8196`8dXGzr&IjfNws55}rY*OW z@D%~^^_>hvTTR+I*R@yioxtU#IOO*$RIv)36>wWObQ}BD%tfsEmk&wD^S#^!5$szf zVikGe1iinByWWF3JA1c_mt&DT$aU%KeJ_k_!e=#iz{GqQ!MnWj2fTWqe~lBS?|Z`y z(c$iACjM+dMD7WWf6k|KZuH0UGB53h84&vO1UDAl2JeMnCb#XZBWpwu6jHwFwQS++ zh)(jrg6S8|J^pXIP(H&F%Pch!5p}p7Tz6yvNPyk$Zqwm~*a=A1EmrBEEJRGXLP zk9GKB65ZeHdH7zC5v-)G=e+v3Lotj~Ljojcog z-Lew1>(`nWuR1vh=e!0zRw@|1wzqrk9JSez>tg0%x}JN|X8|jlE;~FtE!SZ6OfA{r z@CmC4+ptzrAo}B}Q9oJ1tQ~xQBmKVXUG~^QEK;uH@Y}=q?NqvrZP@fSe`QP^J}{yY z7uQ+o^HJ-vm#|9JZx85jB9(Ml>2M>}bVlxQBYm;Q9V~+Rm1m`#&5%FP1zT~hd&1O+ zUY?tr#WsLmo-oaF_7|RZqeQx#vfOh8;BFdOyaxczAh@6WWJGai8$yRSN@PUBK2N?- zF7NE&g&+wc`EZ9bDpEIWUWmgN8Nj?9>yLqEL#JllVP^6`#(y}SFQ2RknmrQyF$kF6Ppqoe0^03Bq74kF?G!_A?+vO=R| z_2ZSp1MW>8U-EShkg=l4%P;I$t86}i+Rs;DZ@}8(fbM1Ac$URBA$rjruPoyP2H6f9 z9sGAGX1Ig@&h7dfw&1^;pH}tCVd5)nXN{=i$=@#_HZ4Nkh~<19`V%!8>dHlpv?x3l zb~qLZWntHXCeGv5SV`Ul0U zpNF#{Es~%eE5|4J;FXipJMqblZa-^vjvCmj zD6^~2%ryGlk@lZBvPZO=@yPkM?CmfY#d_cuu5X?%T)|A|!#olvhiS7fQcT}h!W(k3 zyo7C|TYlpd_d6;=$*si4RJ~Cnu{`O8Um4TeK`o0{&ZQ5A4DQ02I0xPf*NHm)LW_8h z;TOV$yC{yZz)#B83~ejQursdRIBKbx4DcEHn4GL<=~u0;yfBn&ulW!t{u)q?(U3b>*%~}BUXdD(YevPr7e3T$XVowV`OM*K>J6&#njms3 zojXP|=2PzWg~hfwgtzS%?qSu8IRiw9E5Eiy)MxR2hUJDzP(6I4&%1lG({8H2_ONC* z#mK09?feueJ~G>-t>Pn=P}BX4?4vpE!smso(B><@cp&!)0U6+a7@txw+I6upqG14$ zQ__kvJ`Td;T?m(&>t~yV0E6R}Q&t`462?3(|1$d)>o3LtN z!$@a9hXGViaJ904tNU{#^x}FO;gW+q4l{j3z;+z&!oKQ7e6a)h@8a0!7q0);#E7tqQZU}*LzAX7H%%BRi@fOrCv<4;_6LB6v^xS`j%MV>F)F9$$9Nf#Nw z^z_g9H;k>Jq;6`LIi~XhjL|EX&`WGGF5lEdi%sY^9V%B`!vH1g<^WqmWawlqzcA;; zuQMX@pEItH_gqwv$7-yRLtO?yKOQ1ZIUM6$;rgBPF(_{)j{Csd zRcqx}8VcG0|Mi*^=O`o8DcgUrIv0_(W{V;#(pi_FVh`Cmh$baEx*D z=90tEF2p`rcp-Q{$ZkBwP3T4B`v9aSg%=KBXnghNf@hGK;9lS(rC$}3a^NMlKM@%5 zWwZzjdD=~uCtFg1@=T+j-`6bA?d!tBg4_J?v}>#m2I z=beEpdAYm5FhG)@My&@YIiDompSVVj>UW%AUS+LL2~5#uW5Jv1(0*1cnEGf)900B4 zR2O63ndyq8aSEhRwE+%F=ek&aA&9VvW*e7-(v@J~R^p&mc_9dqIdx}=401$(jcIfw z$pkcJkyKP;mP>fVhLm8#XG4Kx>G>5mwHQyVV_s5!?slLYa5^zx#w@R10z-{?lU8nT zXlp@Jz)ITjGSL@}8JqC%8*bQ2lo0Bpe?o()^fa=-G7t_a%00e0OBlW=5d<_0(BT0m ztTi;$leTRDJls`USgU!09FI4AvGhC{;J})Q3 zxWZBd{{VvGr0oy@3682)nwIsPm98e&fE$;|3oX(BSU*h57M`&36FwIX_2*%cBg~+7 z%$iT+?zG)u!a>57gLkip*4r*ez%9>l6TSpLE3r6minyN^-8$=?z6>m#VBfEiUzE3; z7?joT2&QEQc268~BdU<{O>eRNiC}A>5qsj0n;rl?e@Q2r*`Av@5dbG{3Y@?ZCbQ6z9F!xT`0^p}wOF(xK?R?=80F5E%s5vO(K?N4*v|`v7gEfm7aGI&@gjDP zJe!s;HCbdP@Q1F^n$|GE2M{I+%3%*Too^x+BX#?3O2kC`e~@SJi4nFc+NLH50ODZO zc;VX2X*Zn43GjUT=maUiNs9$20Js=<5wpqh;Jq+H+j;zs8{y9q=Mgph-Gl;H(|N;} z-iQm%ij*VXc{hNcrvGW-`6*;$t`jH^cJ6+{<3VLjm49zD`93Fjc_ReV zoL{&bVrK#4i2#4z0Pp+rZAH`aEI!{3Irq4*FN$HV9d>@42>$kHxrddy$WDJF ze84`*{e}~yRn#EgEws7rM(4tN;bUdt=RyA3WI~^a@AkMW0@o)3x`V`s@A>jsaONW( zyMBy}uN(`Q~U_{g~=_TD|`a!L9?I+1da2CVr-T>D2oUor~L+wuv=^g@-;e1CdphT;<3v}v^Wz1*^d7+<#ry+*qmHG6NJbm%Qf;!@~a?b zJNB*33qe3ZO7029WGX7GMY{|^C~zUUoO7PgmA*<~0*{>{S4no4#S51Vo8sj{swR)1 zzB;`99lrYu|5|0}wzL^k)6(q3{__O6Eh&&oprGF zZ`~1Z7usjfU&#FyR!_EShF4{Ii8JXf?;aF7DR<`gLY!f})hpJj!ROZ$g@2V3Ij6bt zF62maEte&nb0fLz2}_a2Kv4EHQlhmBvRZHeXQ=yv12_|6ycYs2N#D?`D#ku>_(TmY za{GnAzT3%twHS`1JX)p{rI5L02KcmXtX987rJWZd3W$|7hG=_(&F|HW36=xs@hjnz zWZ%O+ALtOiquo^K+wTYisvW7<^;!=99bQX!#rTCw_QVo{gC4pBDtu4(@4u$IZb^OZ;kIFrmL=#$@&zB35uTevRq= zAR@ySsG`#WakY6puYBJ4{S)!oGG=JLfhDf+|9VG#(K0Rz>D#Z`>+IohBw4s0#0T>0T#-a5u8u-OQN$~4i&Zd1EF~HjlJB2 z%e?QGHsW`R%4whJb9clO#=xB3kuMFay1`Gl4c319rqf;~Gz2Uw|DWe;Ed zW|p{j+$b{Y5^TN>E(N6-UKVG_Du}JuZx%uhizu*b>JyJZa)bQ(OqnTpiR9wF^(E=%6f@hlSfFIruM)a&h zu5lCGb4SOS_&f0|9Ec-Bm;WB=ap-(m>yn+v9l(f1#H(Mq;rh8oE@hn*D}Dom!g!``T`+3+r4j&_juw4VSAA)I|g1kPBlJ0PNZn_ zT3bAuN2B>25x?xy{U#W${=~RRRQ(<2@|gO^I05SQt~)21Wt9XEUxdOGUI+>xI|42c z@45enN4f=rgc~5XKjI3OPexGjzc1C>o&R^Qkf@N9GN7EfNcjqDVSw}pD(g& z@VzylC*JmYU8Xi{jGnK43)TL>Z=8WBvu_D1U zDVKJ+tmR|+BbWBKvC#eeWk2P6Ay!mx`;KM2PnNmEW?R_O-7oQkmw=@uakuSq`H5*w z-sK`pqp^G6_!qx$>1H>-*|{DizU6#qU_S9KK+`?a{zMCW41pjUDb883>0jxL06DTZ z&P;iOH{jc6<<7yOC83u#j`KAc)OIEFXOvI_>_@G6TYhtQ5!$-Bf$)x~g2oFu-eh0E zH%;an$A5Pk+4ixK@I0m3edRB8&E$n1U(_E6GY3aAFyy`(ZGT|jv?P2d7N4AMcGpV< z$^~ni6{4hC)N3_dlxO5qrp~hKO$%21CE?#&l@}~<)^%~dq}97Nu=^XMTJBrhwYLL-3yi%*k$H)WNOJ2m)POsWx(%JLq!y z{YTuS?+RTa`ol-VygtIt0XDDUq_I$#aNXVOk6exx)^SA~`1B#PBF*IXA};G4wWRk# z&pxbOuVu_f$OtQ=lA7eHa%4Fqrkwr?ajcf2@PI=D|A{J`x7 zh+rRAi*h&Svlyyyuez4XbsuAk+10O8e7?C{ia{#heB>$A3nTc-E<6o z$7R?Z{0!?7TzR+e$kf%nA1<_r-Gr(5B-ZWSzT*Pl8HwFU6TAWQjc{YuAriZhL~$Fc zx8xhnrCH=ccC(Am#yXwAVJ#m`=MpAS3{oy1z{k%Y?0HxVN8SpUoILHLJt!@Gw8Ea4 zo!}exMBlqjP285eJcmSYBr9);Yj2y4(L2IRz2T?+nmaWM2W7vBlj`yd?S=?+UbrjO z;9G8j-PQe(nXDB1!xno>%C$Mz*8rBdyD~a?;j$ZfZ?#BQHvAD-Dg12E{Ys!@No=t{ zobBLd*vAeXm+gRN=+nb47)QBxdF6$EW6}IVq-*lc3J0Iy$F-W`nBzlpQf~g?2WQl~ z2M5yM>h7I3 z{f(HSFYbMt&W9RsdHcG-p1V}u%O8ksic*(j z@q6Ls@GX>A4)!9A){>{~k?xLmnrBiwLqw`7KXFWejytT*_@Qa0i!FUbr|Szu_|<_=O$GIlYz_W9J_j&hSX9%US@d z;m!><$KS*Bij2s`h4 zAr4{w${r9n=AYUp5;sk6RS)ypePU&#(>_10#DjqKP<1Frz!Lf9PAN|qN;c)s2j>?; z)v)#YfJ}KNgWD-#m*NU?5Wk+09mnF=Ip`|o>-S|H%gtkAYwH2Ia_lRtb-ihX8s8BK z{J0Pv1iVKk@Wl(k1K#=08X4i1KX57Wi{Bs&O{ZLo{9!BW$E(N^S}a1VvIGO+exy#P zT)OkdX0=!e4<8se25PVhqhBR~awuH><;DqAFy)KS;QQuX75({njknbw z_!12JBPZCFefX@KhIjad07dziT30Js{1VB>=y!ylYkLW?1NbZf4V*pD4sY0rg^XRh zmt;vlFhYDSH3szh?W3pO z@a=oyLIWSZ<v2Ueq+?1Tq)qhv>a z|Ww&b1QZi8afj{&&{hONXgaA4PRn6$qnm@TL%oI1ZC zJ(jti9Gi7u)|%-&@?NMB4#1`@Vc$5ga_uM0bC|iphsk&1Xq{=!4h&uW8^qT$7wud} z7|YLR2OB;QUk#Wl()35RL!}sxbjW$y90{Pgz%oA2j?l&-nxv7Sq`IH!KEaBWV zc&x)UjZL5Yu!Gm!Z~)ufB*nfu(QYnjuzTfg+``$c zOumA!&>LXG0S%;@FU-R)gkIe_&tMT^y$44xOhWEV0)0}`YxG@fFLW%zLv>sWqe6w%kqln@YBi8r9HK^Tb z>tngi=dOHyA-tBf@f?dp_h>p!p!Sh(QRi%Nq-3JjW0C1SX&r3_Vv1_)0s1WBHdxao z^lPWB`X^0`Iq0hkLf4nW8Tro3zvXpW60Y*f=klg{!{SVNj>|2mz3J0G?Q*p)R^rr{ z5B5&PF}o3mMIcu}1~Z%4%g?CyuEO^y%D3cdr>zh;(5UyH- z0>HZ8qB?nMY>N+#CgczlaB<`@FGuO zO<1QLE8yT{LHuT<4P;Ls1N})8f83N)+|s~G?rvo6F9_{%mnIkH`4q9i9K>h3v4QQF zms83YVoT|qK48RB#vGpCxp7j)GEDmhk60F_!_b4qmLN>WO-GdLRbbiQh^9;)^z(7` z_(Fhm%r#Y_1=MS@^AHyq{$7^Y!s;@4dYECiW3cusN6x;G&pi^cBf@y^y$@K`=Px*` z3q#!jW-56fk1^CF(K9W7GECwtU!c$B%2Oz#53oylr&^O?DWAME%j5ylC>OW8d`2LA zr1-ruG4b)lnpZqsTSpDx6Hop;+a2MbEMWb!-EjWN%z%1jx{j_`i@ZESd_K8-6XY}p2KaaF&ZS%;pQFYMeqma41we4**@J+Yue=28BW z3Ay>?V<4<6cM@@aa#eX8c^w#3MNS-75Lf>4FqgFa@|72iSN6=ApWMu}{mJ7`+P?FG z2KmUef}C$ZndKJp_>q?kOkiXB$nr2i{*?i=6PX9vPagVw(OC(bL>@}D7X95!4kuqY zc7(oiD>99%ht^-Ympt_CP@l{1+I~Car{bG_J?PFNHrl$r3;j=J@?w4RN|dIMH{&+G z3k;dN@}^DUlk)}zx&G}eW~N-oTiGi~fA zpS;eP|Mz6M$~ptjt;kqs(%|Y2mi*+AHhai3ZD^3Q>k0DC3lpfA@~^GtZw=xlsch>q z@XYs`EBmT8M}A*_^7xU72HK_E)0S8*SFTrW8?4c}FMI#_eI#l<$hwAih7*3``O901 z#k1sz(uZsz2xrN=uhB8(){ZT^XP?iH%n*%F#=y<(rRy|Av_Ium$a0m8w;7GJ;PYnY0)ernIE4q*OuPGOR!plz+bGM@o;p zyU9Kb2BEywfIw(waU^PR$UnW-=nME{*-0W3wjm85KIW4DelBJ%|KzIe>^hx><@c5c zbYmQde#q77qE%RGt|W#l21iebkA9WWq~pfY%4BeHg(muWJRlZXL~*WNx$vo5HqNzK zvmA5F2yicvf$ShYvPj`fo4?x9p^m_W+>-UvOG|rcZCSAGxSQo0v%-(MRTIMDH}}gP zQurQuiNL{F8seFkKl#Yh=aCfzj2Y64M|QgLv-Je~o1KR%SnVA@d2FVfQss8|&9jb( zsPQ}*;1$nm6rAEEi#2xy!o#KXcM-@MC;a109$yLn3wg^-JyoWf(Y0p z4Sjy*u0vWCc{{cudAygr=D>5FOY=abPoA>z!EK($6q2QsTzR zba1UITRXC_edmn;WM7EfaRe`N#%0LeuY&+~~r54{5TM;BR!e!)>&@83W7Yu)N2 zZ}YT&pIr6lrVsbLK^Gk3tH>!E0K{YN@+(8z&c9=kdved@{KXKP8D2lR>(3*vGNrUB zm2FxX&l~m0MGEV(o);iJ%9IP(+j3)bdM$`Y`(o65%q?X!85ARL>ZOdSzb+XfGoQhV zVLasLnyoLzKp(j$KwgmhacW1+rQN*bOjcmOkd~}1Ro{=+W*6;AIj@$obx7^5;`(`b zXDzP4wvjviXvdtAk0_-aeb?!E&n>`rq;;~?N4B|wu%L9dEr#F7bFDu4lu-cQC~4g+ zhyrRNXVWm`tmzjE;K}8^lXJ@NI@LWT#1%7c9%7Z&*4E`^ZRpF|lr`6aaB^q7(%!(((lu}Igv(`n?l_a%eIkQF62X5<~P0L-v*ZLqr*hW7!*7 zKFs2EFVwtc7X*3a)eSy;`FYBI2@ige-?!d=v~f*4)13Dw%RjAcM}O~fb}R7B>+ia@ z8cTc@y9`ZG${hJ!PE1I5uASSDv~E1|Y1=4yL2F3-C%0!!9LbpTyf8?B+&P}_0WSIX zE%t!|L*|nEn~wS2lZ^wkol|My0`c&utSTV_U-AObA2GEc z#hHxBZtmAqAWV~cXIT#7NJ^8(4UCU1i}2{ng_#n)LSE9_07v9+3+rR^K<6&v5<5BatK_d~G&EA5HUFf2u$w=*0U%$=HQ0|72)$zD`?qek zKyKvsdFaz859VI@E-V>P{cLIA(TO{rBBOsuqBO|jCwS#0dir=|G8qecs-7|I^eoFE zVieJIU>y~4WJhR$K~w4uzpebNrJK{nJ>@^VEW& zF)ti29Ol}+LsMSYr+oO)MVSV{x&C~_w+N>8JTnX^lRIn5KzB&XCt{h%rOhL!KN$B; zu5Bh(Phl=uHr{}8vWSP^msE9bx zp5-ltVHmV5%b9w1*?W+kDL<@-ui4dLfRyd|XV`x8T4I@w7mhyhucf|ivz$w*4meVluQsor^1XH;+NP3<>&oZLwd_zE; zA3$v(>lqb{R9obx^((sDSqgM1e~AKX3D9$guBsX^7_RdBs-7k+-+9gQloikTta5{^ z%<-iMLF6{is)6M)&)wU8T8mV4a{rXW!D_mbg4Zg2+|@H63UZa5+yGfwR0Edbv+`iV zgd&tOMYIp&=l?){0wvgWiLR6MIIg2q}N$X}6EdqSe zStSP-*2yoNL#sch%v7MuiVVfM|3p0cy!w{Fy(Z_@MSjOWkmYw?cyy?3SxSv-I=64D z+Us;upQu`$z|$b=fn+=P+$VSay$CjQ=9vR>s+`wN1m}u4er^}V5s`L=uy|^x{D?kbk-E7y z*fO$h;B+ynzyY~VmXG}WZV7qOh5Jyx^HD_La z+nVyWrMjzm^OCs5aCf#I<>0zoxoP{SG@N>KPo1H4KWgcN>n)XE;c818-Ye(z9U$FQ zS%6;u-}Dtr@a|dC5Xg^|U5oUCd46+45b!Ve4|#db zK0&xUGG-Vib?K$1H5ZKqrqsL)z)?H$-GWVlVN>t!Sz(9WQKkaCwna(#65Ckr~cnh8Juj?HFfxy#A`n|=O{ zfF~c3SKikvZ2GzQo!xlVvd@Y<^lovgRl^$R%A6uALu2gRCpHPNsK_b1vzV3l+Rl=f zA6eA;qbsx_jcb+#v{Jz{)w3x3Yz6yM$sGlDr@RpKDjRJzGN)XAlXF$=reNhag8n2w z(4}vY%QR0=P{B)m-hq-QD45`f$VbqY@W2Kc!J;hl3e53IF{s@frnv!#Z^;krq78)K zKUWZ{`;&WU3!3DWM;>ckK}xlIR<$c1kG_4tkqTLCJhh*q9|$(ACl`384Cbzf(K?=N zDXkXB*|VIZgDOb!^=CO4*YU{2f_*<1US!P!_BnSxto=n~fqvJa@i*1r&yN(Sqrp4? zx%O4mx}mGP+5bzHm)@O&b?T^s45)xCmm(L6tce4ebMotu2Q_zH6L&-%0`#e)C!ZgdHDs(>2L{QP{R`m@M5np)cI(zrSE zF|Cd%n?9TkdEXsNoLtoso~oEf(ONo$m(DnNB2Iq!7RPvnCn76~LmaqOvBMQ$VR_qL zvU9?Z(d7Ok{iOcgYT)5dyvZIOgg3wPQY{m9u$je55{~aeGkxik#Zpm02j4|jC3n4j zwQ_lpfM6AhH5<$;nBb*2fn8UleP3B#qE@c0S}ADW^U?;ZT+th}{3AZDY83AxFKxZq z^W_EN4XvPj&mVU`5<*d7=qn~CAT{_YfoQ7126h9XbT z14TZwSY?j{hCEmO3|;1r6VQM1*5Y(X0V1C7))V#-uWtoDJkJjUi08V9k-nZEB_8PT z{4Qko%T*H?&MS7&EPw_t^7~J}ZNZXNSd`@FpMJ7Tr*dJ*QV0`Mp4&i&OXE+G#-1wu zEP=@l(C)M@Hz2u_TKmcZeQ&TZ?JVZm*PbGKN;8{LF0JV8Rh%QQoX;cesdCzRW$E}= zmhhHW&O20l1km$}dBZ3oLa7G6Ab<N7xm*3$4SuJj;gjH)W!ONlf}}ieaLGNo>mROByrx&+R8GOs#5wO#>cS`g!SBhfOoTZFOzT8d7-- zUnyOd*aq})z8#}kWKqLkS-WO;Y3dd{Q>$X&Y}Fw0^0)-9H6tF&mhQ{>R^$bS?*csZ${7mWLa!P4OIM7IO`=RHiQJ%KG!!S}=Yg6CGr6*|nycW&^*P^lg(-3zGh1fM|exOV{;Bznm(j zt%=pQHL?1(CbqH$0C(<~A=vu{0QbnBRRDjjjjk<4wos9`ewLy04Up};^dOgL-a%mU z?YXCBmnku2nQl|~8yXD4`KwMjcr~MX%Z*t@y24_6a^>HJaLMz!Ot&?p--m+*_%L@^MxjT-PH!!ko`bvkHt<3JX+gY_5PZVn$4I!a`kJr2(%&It_DJf zlYf4f(mW1f@66*A6b^E`D!%|g*DMNXtic|dhk+SDj})&P3rwIbi{dM2L+Ohe0Ml~2 zY9FIz^J@cZL;i9wfaa&)m2~F1bkT&s%5ZX9)jHaS0B_sSV+CxbRSFlQT{CcXK6ZeX zL5d&ZHE70Dm__{%V`#sQDLr9)n^O9gF*nB1x5E^hw3MU(>}Y_p=h4~?vBV@~O; zsb@M^YxDYI=Gy!?>;U=xckw>*du0~s@50DFk_LmW3%gESAN5=8|9dy^UAy$Gm&d&@y`m&>=Q0u0kE!+`6Q>RleL5DvCB+k;b%;Pv!Ab-n+ucu-$@Hcx64ZOiLS+dsKKT+SHJ*HU+EPESGi`htwXrT~-FCBIRDi z`w`6T!<-r06Ql3Y_GzpCAW)pmJ zZKiy782vOLv?3pAMiX( zVKPAY5BZUfI}#7v&2E-!CqO}fQoMyEuShi8}dbvGsHq zo^oYK50GSGh3QR+Cwi09QitIwcRWVy`8dS7<>O2D_ea39y$kN$B9BQc*C-Z=$9yly z+i?y}i2sgrXv?Cw;(9OIlUN#xlz!y#w@aOH-`Nr_MevtNm%a^q1n40 z96Ru9O@5cK-wt}pDsMabws#AV?>sWOG-Nq6zp|`@eN5>Ih5Wzr(JwQzeX)a_GS_8_ z@3;e8C!<26uF$k~6EZ-2bWE-yRb5p}Url>rb*=jnhTU$^JbC`;pxjNL-$Mt@p3>O8 zvTv?;A&7m&lMffYN5;>^$*(ZHS8m!h@4A@R7DM65{Y&1aAvo`M$qs-HdimVcDahhJ z1zFtnY|?QSnIfxFF}t8>x}8--mJx@eNit~l+4bdJx^eytcZ4j9sM`l3maE9w($H}< zIl1(4yfH2G3j&!GgrA?yA7lFk^2?A*r!rh z_Nfu^n2b#IvN!~B?ijg3;#}@Hhv?%v-R90jN!^Ym^0*)p`c#{9pJE5;Qy8l{&M5g^ zN3^eL(FeIOiO26agyhW&an|ys&epmfIT60=kZ?(NoKc#{LS@@=2uV=Kz8={imT*>d zi?Yt*&&!0eqOX!qUwtV}ct=Qeu1OWUL0?K?(GgLd=gWf9Ezfs(TOA_yi1h5H+bz$H zVmZ+&m_|H{-?3d7VT8$Q*td`AMG1*UMHEa{-$#(*9a%;52>?-sJ&R0}`N=tw zsUzcP<|62bLd??-DM#gPVg>97N=%ORj{Ku}cq2+ND@dSO)%#Tqu#;w9xsZ-DZ!f22 zpG*hsY94anU6uM(p>gd9WR#zU-J|0mn}-$R81wDIveUt;dgShrK?xl^s`=eb#{Ut+ zdk3d#o~#IRln(*ruE_Jc&s%!ZT$`>Ix}fiUEl`h%bAz|Tp?4zX?b zW48BPogr$&5zfMX1pLlUz?OB0`F2m5MP>5pwM-*-V+0e36pRjS|(N}JVqjC8)|3v!klk9dE^ zBeW?4FfqBii_Pzq^8sNXZgJ((x*XL8;uLohN1XI3>pq0h^OXw|ZhaT@b>iI_U=%O8 z^6wB!Cbog7M=4z_=L1oYCD(2~KXQ@EPqB&*L`BwI{1k`Acr0;GuI~CNUx_jY0wqhX zAM|$l@}l{SN8tD4QBcu%)OS9RK}JOF+AS8mfiTJBdm0Fn+;acY%5On6j7R-91A&wB z{HfYoM~>y=IoTpH9Uo=O_K$vA7^_Jb{M^28l0sh`p zR}l8*?*!{&&D9ajWgsjwn}UZ0X6EW@HiA(UhB}O+H&y%X438lf-&WN zb?E(5o6`blZN^Xp578AjIg3l=(O$-LfncJsm=z4_&p;B|JWXqnjcveMTC$kA#|Mn1 zO`ew3d4L2pcMe!k^W$~s%c_JTz;mDHC|FPP-7N>y4z;z8s`(EFI8M`Nt=)6Ec4V)E z{75@BKgXzDM!eZ&<>&QtyTJAa0@~8PF{<#|4A^aJE`BuaHldvyu-lf=^g%u{>;9#0ZVXh{G9rg=h8u<29^Q1XKoBu;#^rE z=H>P--+c*AZ@_Zg}GWVrrjyBI9diww>iLefWfoo zH#Tu+4p>{WIswMcy7L7b7^K8^g~@9GOsY~vX!!Z}A$ZjR6KXoU4VX|{e&LYg{(zA* zi&OYIMwf_y(IqBkfbcVS{}lh`K>YH~bq7{P3KzW=CevK_(zO>R(5Ne#e`7|AgM|VWCai;rmLYP@B0`~x@iP@8Pv;BE` z63=PUyD}z6?6_2Tdk&MatEDlr3>KU!zl1x)5JpMbp3Qu(Lphrv$GVA!%c3k{#shJK zc}gr*``)j#8z0}4^|NiUgbV}`CO_0b5Mh(sahTcpf+Qpu2pc^4fg;|Nfw;kyMLj@l z@e&V23eGGF6mB5!FAq@!{^e1zC3%P@i}BDZfbbi5aIl&(ikLL2TI8D?rvc;%i0=muELa&Ii*!hhu><7n&QVDF!C z12?t2UMXt^?2YMpK%ftiA&0W8tVaXzhS?KEmdeALn6;N9HsE1Nn3`Nrwe=L$ijRg! zj8nCCRYs1nn4K)Enux4PGrzs*5&J0d{D8?Wca>37&U`_r00vMoxwuiZaiiU zM9Ypdg&<_WB9@gUn8b2N&8{6cbxzQYhBIBI*t4%|96^STv!!NRkZHq0LLa%Xem;8O1{{=o z;%XF!-d^(+s#g?L;Y4I-m*0mpz6oR7gaI$#-G_=FpK`A13Mb0pM_)N8Zo*ntb7fXug(qxd zD>p@0@+Pt=*Zi{mXh-ZOEs>DA31e99a&_U&N6%36;n4u&V^MyjmyaA3CQM)QvmE?i zc?mFdnl&qdTBoswJy{kI?1Z^0(;-evIF+DIKqN1R`xVMHuLcvuVm%k2s?0QtRemFu z<(}(Y#A!7_FP1vERH~q_)VK2%f)6IqzSyNcipqdstFTCdk5C{(acy^{%?RQ{q` ztO65xq-!o-@Noc=(;l@3pO!PxL|*Cq@Y;F*m~M7MOIf#F<=t>ov|QYlJjsBmbBG;2 zegrZ(K|q@8dL-0xl5Gwy`a@B|&ZebKda^9*8bY{pU8)fE8Xn#^yFpnxrfTYo2|M1% zVwZR6iu(@L!B57DOD6DHm1%LBooi%l5=jF77MycgUXyL)I6eU=7wkCStE7yF~ zn+T@W`@2ld)?FR3%%#9I1y>MXH+|-ghrct^OW<9AYRVl?FZA=zZs4=Yz*(e8wVQi$ z7aq!JVH@UxrQkpssUCRVc+*$H+IW*2~4!M>u6#ZS)uPqo8!(X{w$HpA&;lAk}%HqzO zY$zawyuAs&aqcbw)KfFw1D}<@FA2e+%h~XNY0kA&d-rKhgE))^aXNMfvW;hCwpbrD zXdZ`l+Gs`02e)Lp(iRwH5(Z;|QD!HxNupf9tyq~=CuN*3^Yg>?Dw`~TWAW^Mtm773 z*y$rLxUkcrxuBuXBq~V;;9J9AkG27@mF|XD^JGy@>dOdbpL~CnQ`&;!m1gpKRjsw@ zPFs|PbZjZ}DpGLN{PfV;h~~74rd4?5Y_eI!P7nF_!!>ejHeBh;R(-^fzM!sjkw-qj zuBv$m7CfS9Krho*^8HnaP!~c(Z25+nwVDO) z2dV5F@-t%ySID6Dw8!;WN=~L~>&9$k; zmz&ORNvNpzgO#mqV(UJR)r4O!Iu67$H`<^|%qQbKU|x zESnRKpEmx^wgCrSh?>}-D9)dSv_U6z-Rf~5HO+Hjgr?f8k$q}w#qss9b|AI0mlrc* zLwB0(+t**^Nx+k)JZnbQwu(VyduNqpVUrhQw%6WvV{ll&QLB`iy+o^+%y^3)bOWeE=r2{swK2ip%C= z0gU9z^;2xyG7w|}a4fJ2$_+b5X)Uk{=1FZNfw?`G}J4^0u*` zr>dB-1KUzdj4bEcy<%5ULNYhZ#o4^JjTkT&2a>onT=rwmypu1;T-#v(E4hN2V{033 zGrv)66t5`ZAp6l+6L>zkte6tJ0lUndBS>9vt8xjPV^9{_oBgN}V?RPNydMSIY?xy6 z-T3mkYlOaR!`7O`VDWyJeaad|zb!#S?${$?UmHlmD);Yv#@a=F$Q#Djgn`∾8=f z{@gCr^{8g7sE4wIpl{?s$m7oQ%E9|SDGL|WwjA~?%QB2hm$c6tq>fX5UwXTw+1p57 zu=Cr7@R@Dnd_1}JLs*VCNFb;DzUAAN87sc+%^Qj8Yp&2NKlkg$G}6f2KIAi&`f6V*`;aZA?7UyY>0WsYtxUU?cv*J(b5GKxIuO}bLBMX!jl(5Ev5A6cQeMC+;;E}=Et{B zCi2=cx_GzPu0s5Gy}-Ss^W9&B?`=Z1{#zl?2jzOv(cA-bO8utKS5tyt`!O*oJPE z+l46-_%dJiI>krZ-X%zP8`;3laz1Cj;+D2|S+9YM&0ANu(6?OL5c}B%Ft*F@VvO7X z$`&bb33bu#Ln}bDEVSH3S)y4tkhHmYWrEsW!1B9`TX=U>l8l>R$py(3y}Q!OZ=)N? z#jmc7lW@3gYy-LOYw0)uSpLcNTSo?lDAb0;&83--GQUnUer{lMyPCe*v3|nU#~M9$la{}g1kUR=@~zdFWCrz?9KWkkiA*&FlcWU#k94Na!7ve zy6srbp)Ag9=6z)$XWZkONDMc;k#wlY?-Db;5h&ENiZ+zrcq7eF9`#_|%;jm4p$*c_ zp2ZB?*hZq6hXUp#EjEYMZSrl5G*fQZ^$4t)D~n4j(*R@M6lR>w=isL)aa* zB?*$w3@Fwy1IxCwK>25x!^T{hYdcg!FyhL*7Yrd@+C#bJ_Lw?yrjFY&=Z`F?OW*s9>aNTC{&8=IyT#lb5W9Zf}cGFLVQ<;TZyq$ji3w-c!?~Zn(pxr;ltgph%QYbut(FhI?GP5_V&e zkGyR?;p#KA$6f;b-AgyLMXCq*ITvNUyXZ1wF5%qPA5xHQq##+<0V_y88(Z*87Ihgk zC`kIyOQ=s@QP(B7=km|Pkub}=WZS%Gxo_b|%d5&767h+!0HOg1h1uq7%0I6hF}2~Z z$&+OH(difjbi+N9=k(eEiWBTCmMuk_+EC#26t8_L-YGV>a@Ql`X$ZFy4m4 zA|D>M1RZQd^5hu>{D^ejmOMZEC;!*pJ8;hi217_hO9-ib9tZULusp>9CIi(6;mT+q z2FgMl#szsCpe&Ma=NM5y&+^K6)B}5Y&0>bi9)K`r7QvEp@&(~{ImRlGi(BH_IRHwp z{Prbwv|}^^E6Z|fJwQ&6+&bgj&jre-KaaAo9s^J3+tpZe9wEm$Ku5RSoU^of0xCQp z21t#8H9uFjNQ~&Y=J{o&kOR!hkl*vldy3K^9>n1%mGS`5lA8)xbIs3JfhwFL&ffzZ zv);b-XL0#hWX$I=d_~z+4q(l>yL0m-X~sdSMBNQof|9ItJh=xxqu;XVmXs>O@l^uRZCamh_XF2K*|{@zCNp_OF<2kC1GG6uTztno0_k&C$DVz%P3RwSCHG&*V8I?=l8T524L)4Vl9XS9UC9^$7A|O9kDNnV+1Dv>gj3c=_ zPF32v1AD!ET+r5?T)!g$oyQPnEz1HCI>-}svM3g;)6DlJ_sc?UY`Zhd@JgrtHitld zKn`5Tu<9ktQ@|3ZDR%OJk5?Z!IyakGQV#qJ(*7!BAjeWc<@Qza!5=szx;!uFk^_fC zUaR1M$U232AaZ>Gh?n0bH=6AEhQZ5o-*Q7ex%qPbI{@j) z?Oi^07dz1_Z*5x_{P;n(sJe1}hEM{(a?{4E6aBzrlHFzR1%Z?uB;v>mrzMbDxy1SN zxo6YiIJ*r0DX{a?ruOG@B-MKkrL4UNr@7qTMIS{*sC>wJF9@jlz$YWk3+U7|4&&1_ zJKjMOsJwI|2~<`qkOXSy_rWRu$PFudqK|oT@CVq zW@$cP%FmBi$qsnBWy_QcIHTv*BeqX&*m8IRuX@&@1JlX~y3-|d(t#5ye`*k1=YLpa8) zlG`K6g^zh}9{F8W1GsPG1MZ`fxmBjlDsp3_QGSOHf8K=JKrEAeg_m}`D-H)nf$!OD*y`5 z#$Yav7IT?A`S%QiJaD1N(@WI4(dB>vk4eo30%Q`C+I7{@kvc4YEK3%a%O8@Y?F?lg zJ#d-KT>cQu?tu@bNQH)Esy^_VOyk02k5YCD#iDfd0rX{ql!d{(Z|UivX~rL!Q*^!oKU zoPBd41#x(KdTIKevy`jtte^AJs=h9}RzO34E)WZ4UOCshGtuU&CWqQO&%_5L>R1@+s{(y?LpAY$_;qGe^!Im^nG@Cg%F>x^Y0QK z{mN?XLFk9n56IeFzbVOY0PkO4q{uPn!OB0^A6b@8#BxY&mV!MGB3<)F2k%48v(@rf z<(+%&>@R=CC5HwCWNdlXU7LkBB?6*qdYgVfl0JDF?Q# zndw1ZMDLKHEe{B_YF_)c1cM&k7n!!w1Go;DVBD{73)68M{bXMm`=GSBV^YXLgoj+i|%Co@8uX1gMq)Ix* zFQ3ga#xO58bm_?P_rn`-2;Lw5e2YwuqA3~8f$%QPs>JJrO-NH zjnCCzRlX(6B)K*34sfI}Ndx#lYQ-xDl6CvrcbC^~VYEIN^SN|ISikaCUycp( zyZ|3RXzhn17YD0c{ZqC2r)9dPgRv*Q{VD``jw8OS%kQero}3=7A=Zn!qa8CLXKf5} z8cGmzups1gtb0Y6Z&#K}svP8W4uY8a5@NQ;K!$a=rVBNVONcf5m2jb@Luo@>KD2qW zrck*7hd_HG=6@|V-FN0Q`D+AeB4odzWe#}8iqjrr+fJ3O8RXlZ8e|}?Qyj^>0Xct_ zS8h*k8Nw#Y%5uiZK+b0SW>IofVn7Q8IrE-CKKi=hI{8_=e`IoR$SWzOkaK$H=Cp0t z7Y4ANGlI^lR43oIS!Q2M9u00!9Adj>H zL)OvOasn@i89dOy^0#^9S&MSk&>`b>xqN{=zA{j4xw*oa+`t{;tPPFrS&vpgObn1) zvIsyQ)59aS*yc^ z9Ht6+%2H=$_ayfV`YDHUm*@K<6^7Y8FAks|PuQ)91R>IGt6BHET+^pbN2)m)HFIy0pBLNuL|iz&I}cOv;Z;Jo_t}- zhDfmTcI?w0u*@dFu zxp1LN^~a4%+?0n_cgUKAkcYfo4IL*VbJ0R9>HGn?$)tfXe@kiePfF8av4Y)WvZ_m0 z^C2NpkhP^a+ZDO6_4gyk6A<0!t#RZGVh}Ui1muE#$$+EK0RQ5`R?-M zDQ<3pe0Lo(iDv!zb|9vd+O*6`@XCGVDUYd*a8#F4N-ke3YB)sK9;@zb=?WZ^QVF!^1F(sJ_9E6*p7{bgioxx6`K z^Ixi1A%G%(x4HH1U^-o;Qm%jUa}(WQNti6;DaQ*V`^=5eJwdoXo8|tyk>(IH{1tMM zlRw-gD)&tPfeS;2#TGC(F64YWkj47h5JnKkO^%$STBOB%WNQgxK5~_h4jtj?fvjpJ zd@R}4fz&X06N1lWWKp(EO$7sai;BC8lf*8bZ{RbTJ^wzXxUyv6?)vvR^B`tUA;?;p z_jq>l%d2z@{3%0z9@)2x3tM~E_y4*Adrq|0ICozed7bj_dY*ydJ&)Wo z^<;k}xD+yIbw<8065 zWsLydHEGS(w{PuR_$8+lH)NomE&2g0?<HnCOD2ngT;(`Y9zk?K9$KA} zd%D0*pQcfPojwhN0&ZSuZLL~-6=rE%$iwUvmsDReO+%Iit2`OG2(e|X7B1ud5qQa?3Cd^DZ4&X>y*5@LBVoiWaDB%mfF0TlHx7bdW*ZPAmS{~ud2t3f|#-*b%MJ`K0JcN(w>DN zv2=hbMnj$((Jacm}_ zgnY6EtsuHgUZAAcxR6ai#iGe_1>k!+a>LHKta0Ha^vWwkSCT53FF1E=7rRkG44G7^ zi`lS%_&pC-IEP!2S04G!L)K)A3Cph^TUzYsilr>s$6BKYj)ttwZw@h9eqoe zR1J`;3@)(j)wz8x2y?p{MM{1!}XiL1zf#(gM+I#J7Wu+y?GC^ zn5y;GNA|n1w~<=Yy_e8)&I?p^Sz+waYDjImt)$A@~@({N82q!sjSI>k^7%z>Dp$*SO zfn+XKx#pU(QiHdx%Jci@dDTft0tXP$p!n$I z+hV*hzi!rG=a1x=jtB!85~M_AcRv`Ngn_5Jg(z`~J7H$3#L+<0W>uAj9KyncCdAhu5$Gv?3lI!?xxnG9OM zeE0l$yJVn(++H**U-noFKwcA0!uuY6q?&op2ij`$Y8rS^{%8#tGkpkt) zv?_c4&{yuB0LBdzw4lEtg_ghLUJg}pQz94>^Q(SV;JtJV?w=)gZ&k0haZl$0x0)vR z)(?xwu_6V^I0Fq~KIHE}O3qm*i>+`U)n>N(1NISR0|}?{dbrP)L3whzB#7nb=bG_x zuiWyOJYYJ=eQEittQKXMtKTCE=J4CTYj-xjA?k4C zkBhLwT-~k)`=g#pgdygA4HPI#ewV0^0*Vmn%?Kj0bQqAu-Cq!AhDn~5$=g4X8D6YL&fMXVQ(?z^v>J|9VQZG~sfXrg1 zsDhjsz9DC#8OSrA{puqiNpsLKh#4ufA!qIo$T__&WC<{+kI>ga&S%B?gkn2wJ*@y< z%>4Q)`)&mgqlzq0hH7zyNi(j7#K;fid^r%s>{Aie*5!9mZ7TxBc5YtF`dPKqd`Wc8 zwOasYH5f*2TrWRz9>CRb7&DjNGxDrH5_AnY+a~MNkM{id85pBw$3cB^)&Yn^Dl_DW zPz?v4MH#b57)B?y0Rk&<-%Wn5V*Rg%`#8D4*>#x85xp7^B=^PC>dd3VM1UUkkzmdW zIA?45@hxK%Ah7)OF51@Jr0}gzADu6eU%>JyLl(=}D>r?*Ydb+wm50QcKaVf{$Y*D} zQ3X;Ye~1!@Ycu~>a3+_uLA)1=0Il8&0_~{4j)*9Y2T){XQ5y>!NXu_4Vg;)pT}}sm zq?KzlJaksKK6&;PRhFu;Cd>0J0QX?9gDgkKiWG}^9Dp}Dw?;-y$&~I8Gu_-Pk0RcpivTMPrj!mG0l*?!V`BtqmG*=}67;ZcFm$iq!igh4#A zJi{@W?_RoFSXgV8w{A}DG#Nnf=jG=aOqpeIj#YTqa=#+dab~%TWuqc^Fn{HqNyuJN zjf$)c`C@EGK!cnZ|J!opwk?M;{<>J+R}g-JfC>J_m?d8p0tQ``{eVV#y>A{QWR zlaQB;hBu(Rgn1~D&rxmv1g7hI7ru=_j(xfvU<7AftKEm z$cVi8f(vTp2WmzJ*G-TO%)p(p7}S6|bHdDK`_3M*v6M*}fe^X=$QiJ+EFNAmV!+Xw7yc>=)Bw&eFEUJ#@ykj?L02Ghb9RGpC=eBsgnv3R0%Y{tEu zw{~<6i+dX79Q$VM#Cb743Su{Q*sPwJEk|St3N}X5D(xLP@*NzQG8)eHId(P&ib^hj zN=%cnF6MJH;##W6s%OJ=BA;)`c3>1yx%bx2o&Y1c%iF=(VIDWSnR;~fHS0)j{Bas0 zTKenx*(zcF(B2XQh>@M;)fyI%CC|%T0&!B_Ou&ou^ZUw!qal2xrq#x{k5U7S{3z}H z4Q7kEPd=t(YHyaYf!qX*;`8%!)!sfblY!cu9t7PeO9*?j z;ES2%Z1HM0?+_OX1XpB_0D>cOd9Ts_!e z^+{QLFRch&nc?%R$SueCwxSwJv!q8^oYJ#JDZ~K$*2?J|E};P|J6Qrzo!2zrnUg|I zICCz}qN?OV&(;MXYqO~au-2TZtQp+eLo*KLp9=IM;}9kRsR0P<<^F7aH>{(4>YF5P z4a$%7=FsM1Lz9mK{U#Sby4Ds7e_lk3r1FHkMMDL?+!wvoDeKIESz+W4HoLTMZmF;Y zYXPg?sIN`7c8PPCFpMl}*nxo-I%n$8IO2%{)V`+;){OkQYhfr)$2&7E>+cf74V$JcT2;7h%nX@66lXbX{FUM( zjf357<-&^q-pw$UM^+V&tJ#lcetD5`Q0q-w&?pyKgJ40*(-yg<@?HyKLit%p8d_E2 zdtA`2sJgS)=8Uh~ScMvR4dqLp#zrd@eQ%SC{vT#TG^>>C7I0 zlZU<4oBrIhB@ad-{TU&}`S;;p-lD}DQfcK$SCxgKS!ykjwePXDpWIlODf8>T6=YDZ zQoY&q(~BJvHVIiz5f7F1f;vSnK{Qm}ovJQ4b@@iT4Pt>4xwd`D`4-1%eVc`v=gyGq zijW1Rhy%8CmO)JN3$P^R7wnulso4>?$WYpuT?L^trBgBC8gd?)XGd@s&0?TNmYYPz zK+ltr2t_ZCEkrz3xqr!;gn*}9ehHfGO0nc=0#&4B4V}?WEngTyI*2t|K1jRF?{=cJ zMKxKRY^BMMBaK|HUlkB0>MyGt8c>d0P}pBHR?6IjCLEd#$*hXVTUHK)BIU=$!O#$9 zB;ET?b*YYonKtC28X{Nyxn)Od1Lb61RojrU)r?{*f9$dJgVq=`GA<*$@vUby28&vv{a13ihLQ z;7Lc8Wlihjr*g_x*^px@chvalcnK|Ra7X2LPiMv)jXh&|CGvNgT{c`xFqIoK1#038 z7I51fCQJ6KzN&uJ_0zVS$l0)E&C*5X`!UUOSM9B%Vjo$3yG9weeiY)_kRU2Afksc6 z`{!)YxyPMnW|3{k5S4p-JQ6eX${APL$XA(VafLRECX?baDM1@0Jo}xZK!Y3TDtkWd z!5vL|u#wTVVVn#t-yq8l@=N7`3x>(O*$wrDzOqi@(PWhwKUy>xDWy0`X$*PfK*(1X zOlwm<%4P(VB3Buj!%Sc&Ur;L*e4jnncT_PbA{aFRfE)|QaoEE2 z_6oqSnQu7v)@ibMz*k(e`h|$QE(J`fu4Kr9yk#vo0uOKVk;#Jax}8Ne%OSche_D&K z%bGr->uOebrrHN4x$9whE0iD6k7g0(-G<=1tZ^XtZe~&UJb22bIYnT*uY6?e&Keo2 zERLYTv!3T3V)63Fna~GXmYbT&ELbm#L-_5QMdwM4t9+g*u1dqGluyB$M!}Zb2ScUE zusG-9o8V9y!u#asCAKYu_bri+o|N9TfC>|F&aeFF2Y`bhH=wHtd@5m7Lww+n`-Ld8 zAwaM!xnarK6KI7j4$oWhaCiZRE#q_Kq#F$h(emOwB?<;-1+EO$0)`s$pXK1HhWuxu zk51SfWWY{+;S|dC78%oycc+H`y>gY|^sasKxvX#`0P*(D!hDfx$ zs;@57+(OZE_4<}&Z7FkoL+n}p5SB+S7Y_?Se*I`a_X}fdTf!{WEcPrnS0RVU5#i14 z6pJkCh&9WHa08=c@u#s0Cu(b{0tbrKtdFgw$~h=jtF&e*U;<};*0)mO1&?aU8WD(8 zn>>(x+Rd`g+r!9&Fd1XPLw>{M_xFs7IE*!~la z(0{NJ-NFl!llr|-Ga|YhRprdG5Daz$SEQNW0iQ_c-j0xi+@ZizB-OGPOTLq9P=;2q zWL347qBK=tbfVM2w!K~y)!2ccC~2|i#bBOthX5rzKot4{*++Vj!$x75f>cn z@Il7K!LH<4y(p)2ckXj69~5ODd}Z|{^!kVr*AYgR8)T@4o#kw^>Ge4x-bfVNIJ*Tq zo&315NaqTbe46N07tbn@;;(q*=1A>e+GMZ7l+`T^CcjB64jrI{{3!ui$gh&9@9sGw zVfo&a1;5vg)-+eGW%Z^5QIMlt3;XG0q}40Ymnx#1h@uRrAN+Ih#D>qXnKvzW!oghufo0aiaL~V%t)03rXX3-d(-qiy{RR#15%J&n;nn=ef|i>0?s&}(}!Y_fcCDG zsU48LjA`h`kt*e7$VhLRzqPj-3s~KhAA!PlAX@U*Y=S}Tz$8?WB}$|>VZiH64Gg_; z<~{!`Mr75Sg50|~7jy9ndhbmFhP!2{OyY3=R55^lhr?>;(uYtvcDRV7bcNr*?@15R zFd~m`NhkBiSXDp%YCrPN;Mjgt@NbRXXvpv4a_KmkYt{c{s`isgD&*s?osz% z$5BFx%kDPtVDg+{3D0`}QFNh6=T)W`2i_iwPU%o1i~K&Ma$VAf^lrSmsV^`wipcp~ z)6Hp}tJ74+#8}AV5*ZnDZTh37t9|&DGvE&r2i7##Oo!7t_dJ}|^7b))eixD@WOQ6v zQY`{*=p}N~(xPbOpQ7F3x<88zc^ zrNOXp_fZg15`bzm`=9bG%sFL2Z!wmpZ zK&`(gw`XihHy2y(koVYo^6#z4?TYsA@R3RLnxtImaCyl&9zL%ra%TJQ=F+P2yP7u4 zrIo*raSf$01FzN)S=>M!UM#7=bSD#MFPv8L{WOtMM>0SeK*$D|i(3++)ZwJcyD7X- zHGhuv)4p9~!XiMo%I{n2cRW~vtc-nXD#>nsC+QCh$;~yy1}s(j(KaJpAWeOJ{g795 z@IL18iFAQWWL?TFU*O2HB+Kl`ADFFeE4XodpM&=*ryb}^xyicmLgqoYG)++lEu<_1 zh!V~%u5MWA76jW7GraT9!bi~I4$JDb@jOZoR-u*X2q|t^-(HN74a&a0G)l80iEVtRtBD-ZJ(C(vaXX8T%I2g%Bgmu|@g^Xp*s zkukL76ky2)^9NWG$lu{8%TI4L55Oyy)ns_Z@>Yj*gSmE!%Ij+jwzI=4CL&^_^XrfH zm4fv8QX<4|nFK{1I$jZ{n?*U!F3Ew`ms|To-l5|gp097AP3(w|&n?}Lput~R;PD;t z@>%BwT}M`NcFBP4Ztk{hDu=^uWKl2}9r5-(SH5V{#=ez9w(lzO4js7%i`*|L+71t0 zZf+H>lWv&_v#2Iw8LOD@LC3nK z09h6GI?|UrqE>0xg@-a*3_;E+q8^*}7DW@xtTNQLTE+MAgr1!P=jg0I!gSyF5o_T7 zF{gplL7tYS8APosSMA7&44e;HWiyJ0nPr(n@Vw?u1@UU0Gv|?{NF59hHH$L8jqf2( z2r#4O5ezES{B{H3_k2MOv7kcDKA%%HCqX~Dz<~O6NO@w$K9*b}SK#MF0IE~{U2Psm zGMjXxGR+Plz@X@Pwy1^M#6$fH5e2bZrwSrTn` zV?*I8T z?|PB<7O-99>cOd>>m$iM``K#90F7u~tqcQ@J+ffG$XdFQgJyBd+mCG=SRnXmPSLIx zlg}`I&L_(f^EiGIr4CSCB-6pLOsOY7P%_!W03@Kw&zb0Sfas#g?Siu!Aka)&!gw?h zg~uqMv6Z4&28Z!yX0c~3i17%Jbs$e^lfqAS1r5Lt9B9e6^&(B}Rol|Lc4ZgN$^qVr zF7lQy6X1qMNj!D~beXwom|%}QExyYEnhWVjb06o%&l|roDc5}L7+}4S+q>3hYFFaW zk%!gX^4T3iH25mZUy<)#MLye-V1nV9;XhH*91Y{&$l}%!ypHtT_9Nvi{HS7I9bng# zkM!==Lmpq!?!C2J_R)SgQZ*PMYA(%ScKLPZ=d&Z&PJS1?ZGd1i7x;s489#iP!*Z?8 zEQ?+|iqbF*OSPIsan26FS86f?4I})>qCn{f;4As=>R_$M_OxMWmHe}8p##vAv``K} zOP0tIq%(?cu>*XXd9eYoWajcEW@CU~Lw^<~mRBA^={1Z4T*`^*5Qqvisq9||nZ z#VDFSVHizju8+=0;5Tw#PKov%fOF)!&8-6gSxfTER`whYP0TvLZc%e-IOONGt}LDZ z0DJ6Q*>&>y2C2X3NM)A$0X~eZeGR03l>!cl?@3!TilW2^2rqKuVY`!0ZAh>@GQmun z8w}%KdVhU1!Ev)EVH(Zre5J; zSyG=Yi~D03m?5_a>vMkL5;DgDFoTGKJ9%ZvuQw2lkY{Au5^*;S{E&Z^1qDcmTsR^R zwv;B3$)jnunE_}-R!xmkAU}Upqcci@^gJj6S{7UO$PY`Cnr~MS&M@Gi{4PY9qYDe! z0QeypJRuKSSh z+Le`ZbmiL_T_fLy1@LE42ww;M+PUMV7|#cM$SaFYUp^(6YVhbiz+w#RA=ky&TJ-f19Xx{?pWHJM+VMN4z7XYXrAIYF!n6Y zpW8FAZ)kY_a56UNBi-bY^X?4GUz!>_AMp_lcz1K#rbKHGkTIusTfV`3H(WfarBf^# z!?=_4&qpAJV~W*sEXxtF@&$=c9pFmNb8KlEfMHR7HOqqb9+ti?AB|Vloe*x!CJ#t& zz^j>$kO=I{)d7+qKi$L=K9(f_&o_X1Cl}Bq2g)nY9O^bKP%n)PcqHZi(Y3upTBq}CE#4NjO-Q|Orz)r>pJD>^78v> zo=4<-*2Iqkr5E)_kRaEO?PgMG0TQQ}Sn?VK+zd}_(>O!sGu-$#3!h$Yq$Q~rKrjhr zGd1{Q65kz2FaTVf0s}Rho{9#cN+wokwOPizHl6!2>^B-ij)-xuh}DCfbEp=JK5_6g z-ZkTXPp(D8f9Gnq{Jkw0d?r!A-WJ;3Ki>>sEvf&+RXzn+2SAI*Dj7N3B;Dkz*$;|0 zd!J#Xre-b#{3NXbK$D~?KHa%_#h%qeKuLVWV88|J!Xrt6y7*cEjD>?PELeP%exX|? zE~ouAOvoz1^=k1s{8XRb0-d{}lbYe3x5$7%1=YtA$dB}U*y;?AbT7bYhVcE2i z3?KM%+=_MZapT~&un#!FedrpKx`mRaATYSS{dXfj-cNI!F4OI9H(+D^;Qce0yUjqp z!xnk0rA8Z1Ro7~>X|V&u#eOayuX!=K#hkUfL5KVG(=NkD|Kh{UClidVaCx&EEx2$) zuXJ&lTqAgpRbz&Rh*g9Gyd+2#Jl@qq9jz|vpxPjgD(UuCgSyc^gSoURQw-VyuS{Ei zegZHlRt%zI5YbxGH|XQ0-n6QKZ-L*yNHr1B>Iblgk01ZN8JE*`V>g;&y$m*VXN<6K zdes$1{=s|gzjw->36%Ir1i(674TsEh|rNL}F&E8g@GN3J1)I@PTE!6$t-l?#0u6o^qybf=tnHla|M{#ogY=Lw3g?QAEuFhq{_HVWr`FV?P6FV5HAJzA_9$3E-m*Y-%+&2y*m@#$4xjc;3j zcRE-|qpNb;I&FAx>suN7ea2?Ht?U`=V_Vjzv&D95HOJ&y)QGGjHX+@2#O#>Zwjg#; zEc-@arJZ`?J?!N$e|iRa#&$49iS|tu6bd_#N19^_iNwX7u}_eD@0Mg5A=<@Uvp? z=&)&W2ev_Ath6-Lcau+i1`~Sd0(>{tw0c*(-kw0QPn#PSALetXo9uZ6IbskFHqKrA z8Q$e14Pi~^_Wjmu*u8r+wx0$%tY038&t6}*e zu;yyB$c$n3iMy@aeFb~-w*Akdj(8fg$9M5iz*qA#xq3g^A-wnC2;pwnvnSz|nkT23 z%iev$@98~p?t#mu3G865x#HchgM~JScOhHaxC4OP4xuLF%!qEPTgY59Y`8It$XF|p~ZJ=+nnAJ%RVwF8Mpo3 zHXq+N;LB<^PpD|Na)a~GDqn2F9Cv@Uo5h=C;UWgK4yA?{_!+D%ykO-$=exrXL~%!b ztb3X*puFIKf^#oWN0|Ly;K>6P8(#1=yIk4oRiVNA1-cm19rh9HClg7t?uBaAD$jif zC)-nR#p`F&@(T>L1!O$CTc2Dqb~Khi{m?zV6B12WuKL;Lao za{vFXt}R=39fghPtQ9{ogS&I@k_6bhKdGb=#}AA_i13HfV8`M1Zb9I33ci3zai{(n zZ0WYzz}Oa59?r7?fY5=YrW8YHYRF0YjOdk9hjLm404_(n`Dmm+_uB4Glr@5B#mk=i zlk?vI4{LsKrQ-N#_gwvx!#v(>C{L4GFoWU_*Vu@M<-XmIuAgvTY)ZNF8mBHepK>c* zlxsuK(_1FCPF>CSPD%nc9u|;BoQ)gBfx^iMnDUK9NYtw5766=XJe*RPfkp-5JGr%t z8#7S4Ex5QS_A2T|aimXY=|xj3-z)1|I^Ze$v!>hr_&I<;qQr3b}|F`s*_$e zDkeaC*Uc^?w6}$me}+7tN7d0?W1ZY*T_W5+VH&ef049uB2E|^Ci2TYRAV^){o{mzT zmr)ciY&u##9#Qx(+ZM>fV!M|ZokFW>p+ugA%WqSjQE8kJM&gR&OyCrE!r9Tqf*ETT zOH6v@ee|?+0&|3jGL}3y8-q$>>I&oiEvh>nwe@=GKfb+cTlv)Eto)Dqd-}WSS|>`m zT|C4>y}k4b^Lnoh1S9j4M;xK&*7cnGtPS#$v#Ym07p~hFXx$%Zw|M->p5GYRpPbtr zkK9B(hZ(5mjgdv(8v7nF=x_l^4#L~@>GoYqjqgF$hm9dsnWN%%i;J-+P) z^1D#z9138EH4Q#pKDiw%Jh_(bkxqa_??k;fIWc!M}d^5HI{z&&elX#rr4AhD#5L%mwZ1- zq6?H~t4M4X%D9DPY7}QB#!xP1FDhNQD0Pmpt;=<=j@t#Nj??TSYuI;t6|`aD1IKxd zIMax3;Os@5sr%KMC~aof4qJWftPaM<6)25Crqz)`X?ME9%{kxZ{f_3+iXZm~piGn7 zvr$emO&X1>-+~!>{>q3u4e^CyWKt{?Y6fxLf<-KXaZ9o)25B!|JuRuj{RSjqC(a|h zymSB1{y-RN*hXyn{<}0-iL5_eu}`@)c-?B*Q%M3=8d}PE{bV2#t$`QR?yO)Ptx*5C znVeSF7rjsjD?ar|PIq5pKM{O6?#tk-%&^m>Tr_^L^wx+nmO0MjhC4o8U$0M3V9mfT z@qO3lawK~W4R_D65|S|38LUjj_OGMsJxw&OFqEb`aT3=3Gq(Wa^ViDfb8N?Y&e4mN zD!!*TR~)Jsnp|+iY9x(o0HqYJM|pv}f3@e|JEH`;`;1h2di77fAhq?k@Y5Qe3f4I5 z<~87O>|LZ+eYV!waslutvOo%zGOzcSc7MUQx(m}zB%_XKoCO3jhNsmjw>1B`?*hpv zb-rmo&MFu~n*^>^i;m#aR~pXFK_DX!MG9H6YI383Yc_ z@=UXfqjq6qQr|3yqG6*&0JLRPbEn1vx6-(d+67qIFSgtaho1ELaNs@Gp(;bf8Mn-=+B9SBpi(R>et2s z!1`iAiLZ`x2&buyG%a|3183BJUN-U&ByR^Oqau1u%fm86tR-%vU{Oc%DY!Df4A7qS z^kURH!k4obXM2q(7G;@t2^nbLq?)(nf*8;<1+2H0@Z!1v)_XjkKHrSig_12jj(>WZ z=Z;L%hul;F&*9TnMiXMbt*m+9)fa0PSd!0ME2@Y{A%V*(=EUT{AqicbF?D~QQy3y& zV6wW%^kusz;#JMrBW*_NBij*+m1_qjT;glEPa&)ma5#x+d2?wY$deHUr#v$3OQ#ru zK1rm&`&;4AX`TT288IrFVyBn6LW>pf%#0%Nd84o-hho8-ISWDflkg$lK3~-T0wQwX zfdT+BQ-%4m6#cXUwJ z#Cehy0C0&>J%$cPUsT;-0VQX?;kqE>p`zUDeVWQPV_+;tFk zcvK0PK2rVia>fmetAlZa@3}h{1Lq6e_4n!qFUQT2*z`d6EA~9fEzF0XoDKupDVq-G z=il8jeu{Q)IDi${cmDg=X@ModI{V3q{l#q9pv6e@l$U1)dZ-2VS0IO@%Lz(gAMUU4 zW0?3GL=`vtWW(7k9Li$D|19wh=Ws%c_-FeH49*X+^$fuNio1@x&Ia|vx~HuTa)&t2 z7{Bc7j03>6vEeRNufk&4aF@!yV(4zeU3y;zcW9iRA+@(g-G=jW-YsgwT{-Unu#Cs` zUhbBe0bIYE;Mi*jZh$gFmrPy<5+ja@=q6(--ZHpae_eg1|zgL-eeo61Ox$@sVFqt&lc7F??Z8!|$vrIP^^4}?D=^vi?H}le; ze~&Lg<=AOA+=Vkh;*IiKb7KQC8E0XfymudOlEMarGJ&jo8N9OLm|@!xmJf&lug^4& zKDM=r2XEbd-t`98VVqTse@3;BaJ=&NwbKyem#hq56Nb3^N@(fW{QFK1mZk&TgE0n_ zUh25r#l2R;`BVKXAVd7Giq<5frn*pRetJnh&1LSW1((7b>$Y-oCy> zBT?@oo3`2NnUli+olgBx|s0audv!PPwHEpZ}j<&P0=#fgx?PsLPeAc2Evv(1y=+ z1Mi!y)8BI#U`+nR`t-%8we%co&CXU-<3n=K>w}GNiICCU1%6n!$KzH;oj8uj{*O?I zQ?xQ|bve&(G-Ws7#~McNBCP5YuDL~dJpQB&7kR(i-~4TV0lUT=fX6%nW=(R-h?H7B zM*35zTW1|1^8Peu`r-ZXv0syM7Ve)8mra*@xGC7tGZ%H!<&ke!zs}qVT%U?^9pio6 ziPp=`0~q@G@=VucEN{b|AE`>zAOJ^eJKa>wU>1;$VAk#iSUNq;dU(POrHSe9znJl# zoChFkTGG+ayW!5=3zEQZ*%{g7v3kSjKLeen>k&51+b#D2b^K3dDb&bRlMV27B9{3$ zn58$RaTAO!MNi#*iLcL(9nF&y$sp3*pdJV-R?EvnkF!dA!N;%f&p`yV18-k|XCQPcyM6_u*e5{6W>6rgVMtK`*I;kHIYon?j%P{A~Lp@o|nZf zUE=xY>n@oESCW)Ew=&eQ=z+$gIMTnuaa^M^A54Egp?hQ?u!cpTSJavFW`yX5RS78+ z_e12gfi6GS;jsZH-|y=oUmIX$c@G-6z?ysPocz=^Dj$J8z4FyWMsHxxHS9d}t-Am@ z%T}gb@>%ddSnadGnP)b!F0Vghyx%HEzj4Ufu0E=KA(?Q?(ug7~^(W6l)Nz7g&-dqP zJCT3!{d> zILVGye|lwmAKh(L-ExOPEUIKA9{?(jmKWzfxW8L67i!5A)1t)sAP&sm7TyA%jA;&h5MZek+xaZJrY->^~qwRPekjE$J&G8 znl2z(KH(bRw*lTCM=iEyt=vAj8~dN~gPWLZ*`wUQ2)gE{(wReMX zFIIg6bbTG}8zAd+OY!9-PQM$FTe$M*Lf_y?PGgwzNlzcuKETfJ2?}^+y`28gO{U_= zH{#ztLA;Z@9{|gDn{dzb)}qb=JUM{y@${q09-jc`21If--M(ZFrpB``Gdl@F667Sjzt^BsO`Re&5ecHFa*slivyJqGC z8DF(t5;X(ea4Z7TzspUiSErlTLafX)cK1#t`SH&;(~I`FJs4p~mXR5g*phQaU25q( zsaXtI-++ZUyVNbYBiK;)vJLTcV0$C28>euCH`*?4&4Av$ET9JT?zjnCM!2qK zJO&@=+!*afF~N<-o7+mV2Z=j3?2oU4PdI|0x_(Nvns~!}aGLwHrJvviSQ%iu;!Amt7C>^>YZksCtKU@kXYcm%JXDRDb zM`US+yq=pgTuyV$$N&*)n(|wK$iV0jFg{HT)W=msh8n5;VFRNmulrgYfXo=;3@5)s z!fXRH`@8aABSo{q8CATjU`-~3i1Hu^#}4HOVNW(Rwb&T4h5 z-ha||WH8FwOOR^7R%dfGyH5I8V~9`1yG_@F5B5{U&)UhD(5J`y>pZvSZ`RUJY_Wwc zKHU@0%(~?UXt!VFleMTA8tx%$e;Ec1*ze41)Aa;w#O4k&@T>!%)ea@VQw3Qa73&SJwWi^USu-_gjz4ZzO)FD?Xgz*u|+P!@VoUQYTyDw z9+fV>IJ!QOoBxr-UdILf79VSGUqOENFY)@p@dI3U~y7{dGXkbAyVslpH0hGu8Hpm#-4y^$iWEE!386`Tb4LwWBz5d!zmr)q)YsGv35Az&1T<3M zt|+~w#0^lS(2acitPFLNY?1jS!xvbjjHU5o5Yv{rVrr8aark!{Kpp|vrI=VGsah*o z{?WfzW`lIeFEGk1@!~R1SyL|@B?!$|i}o|$;d4?k&Y=(~SgTpsZymv4q!oF&Txi%=R1=tVq_+W;%(wYzOV zzU1=8RD3x+^)cnF*1lj~>_C+44gZ??Q!CKG3@Bgm;K2-tukfDGt~_7j&t>VHDkj4( z0dZi!TKJ_P4$S-?r+l8paIOoD)17cJ`M}t#D4+M}4WP%a7u>)g@Z`Y!v#GIsmI_FCP*UcuHp4Ni-1`4l3V;dgd+z>OjBzV+Ov13ljc`E#M}kmb7!hMVvpt$;IAIjE(^) zH|N!{;2O+~3yNvf(Be8PjPgYt12To268y6meDXvF-ofxO=v@`1(!mr}@&dP}mtAw0 zMn1S1BAb&I+sW*ntx?@A12wu@jAHuKJ=1%}hcn45;^w-(Q{xRbp1CQJ9LgK)DS>9F zg4Z5%@gyVA=3WEl!g2E{3{-_DObcC4n@6+XDhrZ3**W=Xjo*S}w1!3No)E%kj+{Ss zJOG8yPR1H|v2(F4$0~{=Igvp_jq%D~qd5U`iFwmC49tfuK2FW^w{DGz`B0rfrAIIA zcinErQh2KjEs!6E;ZI%R<$sq}1V2U0E7SEqrWF_`X1kLdepx-PPswkptARlx8I6o` zx_M=u((jty72N;;^c{LQUdN4jn-{J{YZ4?A7o}zJ#Kxh^+4|(BV^?_bj#BZVEM6PW zySu#{Ylb>`;S^?g(%`MFY+8eJHle43a^|XNc@xhmMfd67=@^c_82<0E0#F4nCOMxz z%Rj@m%vDG@wtZUpL)j0oNpf8I19JuY`vd%~*T6&JyNg{g*1ZdT!jXY-8LnxK^r|(h z_9g+Mc25s7y?S~PPq4YWGE%uDSqD$kXzTjOT|$lBFE5S3xf{WSq1!KWpKf;*pQ`S# zC?K6@Ksb2)v64WXk(?fsPceef1qHxs*nm1{v9?`UGVGsBZ;KZE)_tCEC1=!&Dhdu_ z>9?uT_5L1M;UA847|rV6s*Y)VbbZy_&~;c30jlB52GQ84xplrT{dF!eIYAEw_rQf5 zS_#iPptwkKokMvg6mn23*DfrdLyC*b=5gR-juNh0vZp~ztkZ#G*@Gp5H)Q$-v9Sl9 z<*_csmbv~0l+yDV=%3MGHj4{qJV)v;&K#|^iU2|yYx`z!;hueX#J`7Jyau_9%jjcsyMg6=b zKjl&mD*wekt|?+k$Qe&Nm7u1}UL>pRp7Xt_;)nR}^sB~H$Pd_Ca{v1Rg1=*~8|9)Liu=>1RD0n^ zi$Lzu{W*O%FSCYjzZwCMZm)CmfuF6HKL3d;GecqZ9U#0Tw8n=QnJ2Nq2VS^-G7Ix+l8Z|gTlb;w&91iV^C|6q00{5T(cr+@)?zMVD9N&08{_HMu4oiT z;s_-spB*Db2fnz=AAR78i*Ccg;E-)1m{xfE&Zr^jhz==x+ucdvyX#Lk?@`!2it{OK zbKuttYC`%C4!n1p3k1L!=H>G&6Q>w-K0u`B36RgTLdKZ>pJ)-X@10Jd z?zs&*snkg4b^tNYItm=9vtJI_pKQ_0A~T8M)0%9e{--7QDp+9!~B9X#YD;fbEZOY zY|kJkr#yd}4)Ai`Wy*?mplNrU~AkHNZcg*!1sla#ddBtt@_)n) z`vsOAK=^N+%mc`N7^Qq$J5NF8LlFFq%trpZ*TGBOLDKGwi){Xo>H9K^XNAYP_X3(e zuGs=nG3ZXUIdRO_76Nw>$T9!~=}_a>1Y22USxv|>BppT~IejLv4pi6Bd~OTm}Y zPjD--b+PvHdDs;%y~P3JNst?>?bz6Kf}7NAyVBN3)OU8#;u8dT5RQFDos=Z%n@KSt z5L4d{mi!AOJ0KAm0X?U=VihtP6j#!p zORFOW8eR{YB#e6AJrL{*{n_Jf7iF^=zk?T!_`t)6=-nY1@w~3ngNUaVzqUlgJm*#6 zh+jFU`1t3O@jz%MW}uf zBFXV;-d#DWRAUtZJ?f^j6Em%U*Xrhf{mFv*Nnp$gCl>$gnMFt<+n-z>0KUp=HBia} ztxT$OvsXjTN(BUy9|SOi&!4LPd_{IdMRW?P&M4t|c+Efk{}dr3zU5Tr9jg}{@SbPl zKc5FUL*}6Jfi2TlwAZlynY6GjTgJHu#XK*_s6Fk8-X0W33+NReg@|UH224LxY8~62 zAVHm+PLW74qv~g}zjbuaxxl}Nb*K-n;Yr6V7Ry^v2b<`s6!-u6CA-ZtQ zr@Hw$t8!4)XUi*9oVV|hRu@NeXO0Oo;t#pzZ>aS!92uH?hI}{Glj>k=ytb#g&sQPx zaIO)=*yZzQi#isIY7i{;mq_k_#eQ8N$xp7rcpMOH&l)g3`t&@|^D9mkCv;sc|E88i z7$NC}J{h54zSuz^@=`$_#3AF5!JEDE^tB!ku<)y}5r)iD9(%#uDPor6 zrc)opC?hz)9m6hZOc8t{D(TszzqQ=yCY668>em4Nk(J z8Y&JCUTr8UNCP(1R;GhBL+yz+9I<(GkH6^V@kn$!M?^{i|ri z;={6>s_qQe=EolCRn4*U3;IoomYmQpc1ID>FzwS3#~e4e-HTnx*~U@zX8EX*R19N6DtgQO%ar1yF0_&Sfs0MgG&T}OJ4mDwiMrWM<$OFELMuWg^(vrI zk!9k1K_%>e5?k2eOYcKcQ9!Tw?SE*S9Z^SrMSBP;93jVmm`t|z)IO}nl?k%>Y%kVw z_Jq&OBW6c==JjYM|BkcgS&SZss82&wdP8q!0#a=8opO~oZadTm8SMHjFmCn>0c^!Rq+&w5-XTC%k*^PM;*t%@x(H0j7m zind5BfB53dU~a_1k_?Avdp^Ec>G*CGSdYUmUk<{E0IEuU%QXBnK~bLb;Z_-=oG+mB ziZmALOk~A8VOwVwOr#+5+pLm`bvd?KW|n)aeUBbQM^em17AJb7SlANJ0sPp`baB&o@P3PQaiSw3Wqf`$ z4)RYDDxn*!crfrh#U@JtAm}6xOq?)ImIWb$(fuI zikV_EU~%3fh8~zxN|!H*eLh>|lk?B>1vNWD9$vhp=}&X%vVBLLEEGL-<4e?@q$bw7ucHb&Qusya&<({pU-AtyGSJ92w2({T-#u4 zvulY!^ykm^xPBdlb>sY{d;h%Xw6~m}GpHW!7B=goWk1LnJ*5e|={PECIg^+nwfJv+Ib4&rlwlZRrVH_`2jw zH!!Ndk!i1tu{na@mp9lE{La$C=<-`Fc<^CkR6!}pSpX#EiXTt?y($s&Qvj8TloIYh zqgafi(`S2Jq&^CTtJR5E`HYAezh$Q5k?tNxY& zKA@KyRuw~fv zlNXKmgDy7wvlKA{WD~O+e%t)~9`g(_@gDIs{XcVWSPRGz1i#@o2cumNK$O~>Zf~hr z#=I|H)5&0Gckf0F{2lXiW73k#d)#&VDGnNT=6T~#ju3cO`DJ5KjxJ8f6lX!lbh)e) zYBof)=iLv%NVjf4+7aMRzJW%$sOn?T%ytBjpZYqE2(q{Vscy+#c5yI{_;8p-)JupEr#F>7iAfg+4v5$& z65>sHR<%<$_1ts;_RJ}(j7QFygr8fD^Qwfzli;j!?n7eLAf=Wix0#-%f$}OjfQPem zv?jr(7!J|aC01T()7_PJ!A))jn||~wh|MC;PXG2NzUAOG3r`s*9C*!oVAmq8&}1xo-qN9_v(p%;1H}HJ`>rspg1eUu#>^;PE-<@J&T+*S?*k6 zXk4v!$w@RYsJPciWT8&FsHNRP=Hs|fq%ygzL2&kH*&9rR=EBIKO>W7;7m&nW98PR!N1s=6zS z94upr3uALVlb>UJ{S@gbUyx@mX-UwIr4xQrer>J&z3dsji&BTL+Mvgdar;cXE zZk4%1jlTaLaduiHL`pjnr?c*oQ_gd#HC@NBhNeJMQE(!JrG{+dqz3AgJ@;^8 zH=OCi5IfCxrUz#xkA66rE6VAN3h3Uh(nIvU$v3m8CeNtS#CpN##cjj~j;zC=of;{{ z$wJN#9GUX2(-dOxPeBVu5Pn|ma7fK_o(31^hD&Tog(BPbWQ>nk6hFm#5VvDFKXC^H z?5 z#*-W}lrLz<5#n#LVbGvLj6Yh+SMN%A*4y^2sVUjs3RHf!mk*X5Z^d{uBv*;p=)%3!lq5t0kTI_hc6|MAu^Y0mlQ#96k{28U(*xEB60w+i4KcSNp)1R!M z1E2u&@!Oos?nQs|@h98b8QZsO=$wn};k&#_z7733xqAB4b$bIK4E^tm&2Ys2qj8M; zkQp)zVWV8`ZCy^5xu&c6Hjle45m55E_%&wv_x2^Py~HF+;QVEJvh2@Ka%BK>Qn12( zAa@}4pgxc@n+59?1?J9;eByamI^z0@P*2*gOeanxxbugC3hP^{KAh%|k5=RbhjK;% zrD_rU4_TLI+Mo1Yf&EeAIELh;qU2@@vd0J|aT@?sAOdRono=Zc++5EbAsFBZTOrur z6ClNJ13f{gJ;|5Nm~UHwfzn|K(fwSVx;?#tRH6v(KU=$3RSEgGJt_H!Qg$X6Kd;`S z!h4eEo4Vx)-Uq&(53?^FZM@rBrh>5DmQH82+sdfmM(qXGXS$Ok)b3&INv?1p{Td{e z4B#+3{n&#)cP~eT>Fv*y45+kg7s|MP$Szy9@~{cZr43hX zeXm;F#CbO19Bal9Hd^WGuV*mX^T*3Mt&d)3L$ z(cVw454Mgg-qF@{e>5vvpRpX&#ykF%9dBA;Z5FSv-u2X3{{U1#tG^m6-v3qceiN-Z zHTixLP3BQmewR?wBq&2Q@A&c|{v>U#zgabL)D3*a!r?k9*T14y+iLVY?q|_dYp3X& z?V}dXR4?9vM!A>yw~kuqs(6QY>H`#29JNpe->cV@1(FrL4vcqw-?OT$v3eK!P|UF21L)}rn27xqk5@oj)} z=uwZcK=(CD{auji!qobCpUhA3{Bw>g-l^NKCf)@rA)qzi-vxU#Z~a!|{k(^rTJH8c zWrpt24C(KbDP1q7dt!=A&Fubu|FJKz`_5?3y5W!WF3C!9CK1}#`(~Ij;~g8-yen+H zjrMnhGLsm+a{8l+h$xTOaUrFQDo2@RE$tIx%rIwflL$c;_cO%~yC5 z)x#GV52bK_CBsp%V%oQj(68X z$LA~DeMR*e9aW8#ShQpNmM+12Buqw$$6Dx(cfIH%PQO|$9-Zzc-kq>aNvz^a7G>|- zsy^eW@lCcC`iQM?E{#tsoUxdX>UnDz(Dq72HTmw9{lTK^nvkQ7m@3;%zH^*c6s^PY z$~cXVJMpdxeYB}LKHhChBCYAekMUUa#`p~@B4w!;?<(2*n+W4wCEC%q%bnA;zJui! z7ryHAZaHpXdnK2yKFsI$J+X*5P?8PfT|?@0*K8gsc4xFOJhqmRV;(D0-IMQKRr-W= zxT0D+dX6i)ziIK%ynCYr#^ZVM?tN-Q@Ad9E1_}ESA(Ia(f?Cz19{(XDjJ6%H? zyV{h98mI9AibZXB}<6OUCa#RNjB*T0paS z7H-MeSz^0+mL3T;QH!v+VuWPXlzDsqr@8-rdsRSqb1av}a@O3lqM~>b_)Xshqz^b< zZt+FkPiT^wsDAZ#f$gQSP&eN7qzn9}ubwy_DRH`^c~fed6SKvxr`0q2qdx4W7k%|a z>85kL;?c0}0LfY7|n9hA&uuOH+UO0aoFxna+19=yUm8FyEyhC9p_`n+vnb zf>({cd(OGG%6Tfci+BI%daZZr`t%_MY+?hcccbt2Fz!{n-pTDPMhe)%hVe*bPF2Jf zUx&)CKKn>*P^0hk`a9*C-s@cu-fuO0>z(fs6_UE^o$r1%&9sH>KnkmM;8nP8-);<- zhxP{_C)PXPoApBV^PS9#6QycHUN!cddVIw@JlZ{_)vXpgNYMto8uZgc>F!s-IY+H( zzOGkR*W%}>CpctiDf+>~C!Ok6M;vwHF|Twk>e}NrMoJ7xfQ2c`3$y_&h-aPhnmZo? zx@yY4%1_+URbKwoI*+Y)f@$@4O~HjzgXfd(cr_TW5`8u6Cy;Au;%u#ot{r$|@~96w zi0r3X5>|c1{hW~a`Ubm%I9^L-tDJr6hWE1;35?phYE}rTqQ`iRP@iUoYNlODu;7p z59gF#lBWBeCq<+4=uEI*F*3RMy5#GA)z0>4I3%O@yZ<$xqxG`y4(OL%t{C1DeWra+ ziQavRn>beUrA+KsFD+h6zT?DMUF&tfazp~ONa;D)6D@_8Yby1%_p5A`n+3lWj03gN zRtC+l^LUPXZXBqQ*Vb^}xuSmSd~@Ep0XqgJtSc6EF}$f-eD|knMP5to;LH1fsct}@ z(?Y6RY6m+~yWaL-OHxN9n-7jX){*scFkZ}SgMW9wI8katI9=N6+t;d>d8NeAxkVG? zj22huGpuER$ykEgbvaOmK zhqmEMtSG3(@)S$iMx)4EQNz%}SA8p5tYJ=%x1z@eP<+e#m6mpZIdH;M2Z(ZGhBKBND?``6-`k^6zD_+Ix67Fxs+vsD{ zmMY%0qK~5CDep-}hp?eG8)WfiqIhdMcXCW)HQI)E3=R3amaQ&y_Z%xhZ9Z=F=;fcG zUc3uIqcfYD!1>?j&7uk!AE7R&7rm!~;fmDXjz;)B9%-3Jo6FX$qF%vfATgi;A2G*k zQLn;=CmY{e9k#I6CQg?04AE(|)G^p59D`p8~6(bvu@^S5%*$RDnbHzGwHVg;v{b_1r^?!h0n1 zig}m1jX)lo6PCtCCG=e%#XGvDM19x#(o~lGc&EbOey$Z%pD>j)E&lqh?DliVwy4x# z)DkCZTC(1GFO$Zs z>h!zpZFcl6wMpj9s!rFCEluO{?q)U#`Yr1>a&95^uBz`-As6&Tr`mwhtB3leTR7e5WH_(Tf#Bzv{c{eOmJOc~`xTnvaBYeb=zJov291h@?|}S8=m`phibXYn=ez z3Tsp{8NKCg_5JZIc^7S8T0*X<-nqt96YnC`rZTiD>+J4%^$1Vuyt!uTtASb3(VMMU zGuxl&U8ZIEyX&d%!aV){itoy-Kf|-EfW=&U7p6~>Zem;W=|_X}?zr>XLh24%%U)_> zckgx8U-ezM%hF%v6-Th{Cd1%k+5YOa;ee6Yd?onb;zQP>TTUFHw!2}|2UnjC zeo47kR}Jy6$3y;^L)QyDOm6sYc_| zU>=bv)gq&4t%u{?dV>30-wZUw@ZL`7Q78Z4`;62Gij!D&Hyg zegREK59kO}-q0T1U@a`y1Z^XvX?&zt7cG<#PqZ51G`;~WDApR)#*FDC-L$|@Gw3qZ z1_wWlHM++YBi&eTb8|Mq%;F}FSC(8(g?<`;c=an3Pj5zW+}K#8cgHU3kLC+j*tjGC z+6s{xSG_ZJK22`*YKNg=dbIZXv-7|$Y#V!IbT4!#S@~C!?_!*m z!5YpJ%A4oP3IClplTHP>Tq;S2BBXZ|FyZKJ$daE#W-)IZbih=v)T+@G+P=1?Q#OXr1n69t$=lC+A zYk0w_0i6D=e5jK^YgoTlAE0g6_Nw=KXRdebtt;N6x_vP!&M;89>?7`IF8iQ9-G$M- zhk5MhEB=-b%__s4{rueWE(Lq$eap$+LifxN%S}^c&UjHzI{IQXv-Mh-mFJrJ^VK4( zsz`H#Gp6`VtI=Mua~8kq3Y&zFtaHJrV+W~vx_Lta;mD8D~UYy7Cth?VQ z4fM?w{>D4*h_l_J!}tmVs?QngIjPaI4{(}zZZDN*cw}|_fw_HOp2`B#d9`))sA5@I zY0>ZI^49m*w4OfKzPM+=95nIvvS9JNqcK@uPzMj#eQhvMv4q)9rji4F-}tDmiWR1j zqVo1Jq&{x(gaDOVcNzlRM%(kt_eqc_`T~BZZ)m>3T&Z|Qrz3?!%bB3 zbE-lPhIr4nV&`skSW!cdf4JLM;0uj#TdDwL!s|OX6!-+%&2j5jp_ z)R*@bzDav^KwFf#*}Ml9uO2tSvy_$-g-yj-N?M85TgBn2dco<69!K|9Tu}mnsAu#z z&I()fR#;c6N4@GHIpkxkIBv=G82x@vTb5Tx&lq8;lBK)iC{<(Xb=6F}Bs3W9m3iHI zyPh(vt7=(SoTO|F7Fed@D5a;&=}T~6yPS@d7&rUP)sgfE9(`Dxu8J`vx@A3f{R&9+ zR>X$jFWtf>DdX;2e#M6-`O-sPvA9ag-io7=RmG~8-*Fyuu~Y4Pr+D1pPY~Z|2jZz$ zedcZXGao&1pKxyJcQ`G1!P$Dmso|@C^xm&3DjmBw-!l9Wi=KI=S55cmp3s?lbDMw> z^-tfb{RtNl^~BnRyNa#vEjO=zDZmvcF9UnKI@+|)Ay>A-#`ajE`@Kx8& zrEFE4aRbGtCQl$!V{A@rAH|~$IU;+O#|CmlV*Al*9j_dbU1HN5RRQ3%y+yKzfK7=2 z6}u&Dbpzp+kO$|ju$5BS!nX{~#>OXBl;`%8RDd@(;Zt%||EC1u|ktj>Dv&HMccSMqs8bkzr%#w&lBx5~|~sHS)qPk3U5V zn_!awtxAEGNA9hNWh{hK1&r027M}qSYFn4$02>9?c{Lua&OkcopjKg|7(za8-x2UH znG7l*sC=)ZF9rmvLwa-`Ap}*rnD!H3P`9C&z6IeNdR0HR+SWUd+gL_Z6n&y;lQU+H z?g-TPqt!B71PI8TR%ae*^a){2arA~h;cPaIG&eW{(HEl`=Va@9Gs2;cd_xHJsIlsNYK5Th~?2;o_`mBpu!qs z=YY$bmKFG8{Djaiyx9{sYcPi%3G=kt@N3L)ar+rFj;M0?RbXqwwy9ptB}p-+M$> zuI`%H_7t;HS9({319~gsy{z*s_}qrzu6hqRQ>M=!dM<1<(w>GdnE^>tqi~+cUKMw2 zqm4XP!}DxucUU8X9{lRV^J;2I5uI)Hx<1f|54K(2KH`k(N1Uk8VGd|*NA*5>(;35A zJWFQS#+!$48hx-l{b!i#Z8ll~AS-^aG+N8aTmkUDqHW%Cgr<(J7M2lA)w6vG+f|KA ze=Aawszq3D_yi5i4uqNwYHNoQX}tvqa=AnW^nWYftyz1LG}-k^G#?MONv*xZiJ%Kk zm@BGB`*@@DL_Fcsi=PufuJ+E19mrzhgw4*zv-L_MuUNeoVC>`C_VyFzN~%Vm16z{=Z3-Bq@a$T}c^ z@#V%CzeD_l%UVrVsKQke234;bNZQaBC)X(_xnyjvQog}TMkgX4=DT9kLJFo>naJ!)vK=vsg{i0tA&qEJLz75 z{}+I^GA`l6KE35_!({gdS@wQZuZRQ{c@z&m4 z5VBwZs0SYygz-7t-ip9?c?M)qgKf?G*lR05d1a7;&HqCcut7-8X|9zZC}Zc{!YE+JYnLbK)pq zNpS)#P(4yhovg9nAa=pdfbA=$_Zv^`vm?aa=9rU!=H)N8Q!CMi0Y{wMa5s)TU{Cm- z4m9ZVZ9yj?1M&~F=av8Sf)+NgencF6QAHxcj&7-m!sP;KqVW*A&=p~Iqh9lt#~sD< zmIGod>-k#|_I7^L_e0i*v~<~XKq_8?SFT@2)b>O~la6W)6dlFq6Dpz&939@XSPacc zhrPEvB2>KU9U$){dLBI@<()+Rt6|yvF8YkOJh|*6xT_(w#3p~=00WJIDr$3u8&5h$ z1AT^#4(jF#&1q}owsrVc^~{|*roY9G&7(H8z@TCKBVBW>WxC%doQ;}AZ$%6HrTYC! zpLLx<--_X7FOTM1kx=`hZoKm7Smomth=B?1SmpFdca>WN2q_4#Aq2)KpSWa1AWl`; zfKnk>8scBJqXzZNMBgg7xiJ7Hm@ITpX%5xYJSqs~*X-w^sUbwBUcvnhAu$(t^erFC zNciYDS_p`7NMF-4Y76V5o>3#NN#>EaV%RuU|+uL0z$(WCm*;HK3+rhdXrYs95`1;4D3If5rNIAW{O zUd1@R6Y?;szwt}?uFN&+F$PUw<2uip004TM%+6;K@abTOezhKRv$1P zR~&CLl8SJd){DaDtq1}p?otg1S3AyiLk-PD4wD9dsieCQlMU`t1OBzv;V$)3F1{r; z1oyf|2-DOJ2tV~fYpdd2W&Qgg@N^b~n0Oj!;ASxpYN|XFdha&VHq<4?=yr*aLT<x zqos$;Cm;a2Ak>8FH=hAQaHr;oDWOh9sQvV7uP~GfEcsT1y4ySsD>zVu+&;*uG^p>^!D)Ggd^a%8#C!RI8pc6C;&^=t@zQ$4Zh2y#kSv1Cw4PXr=p!tF zY%xaai{sQlo%r6e6SWbBK)IM(csv8b+`w5=r5R0?Gu~Sh9TYXe1k+WqydVW*Z*Y3* z15aI0p73@Jl}lm-k1E0wsPjo9Va;;Hs@lZ)JV>I{(c*}a;f|K@1wL*xKxY#525Y$EbrNW!_Jo-fRYc5$&WCSB5^Cw0^;nxdM|VW%yO$Szo(8X~S1q>IcJvzI z;(VsdGvgmz0XKk|rS#PPL^Qk}(o2;6dk-YGiX-A*)rG!7M*H?1iskhEC&EwsF@|;5 zCTR$N=M_xd;O{gchqgrcJMHTAG)%;_zeYxY>U#JyZCvrNOb<)(J5HOMy`F)F)|ssN z`VY#lC!}Dqj3@f}-lyT=w4q7GP^`ReLR;;`CUDlo3?2!JQe0FnujVdk<4&=yRRn)6VgFJ7J!Yw1hv? zKok{^W2=siT=OwJz%M={s!SNf2JfcPfK%o4D$%6$RwTevixV6?J_ZhzYiPC5=%-JoS)v(i!Z1F@ZIWD4JV<74g5Pk_g6QOoJ$hW zaCJr)i*HHCx(24jN|Y8i(>$l(&NjLHH6=7HC)po0sr2et@3z=!3d~nUwOT9D26v`W z!J1dVlAG>8cf6{Fre;Z^KU(7OUbct=@)bR#irx+WOpTYDj7WT~Q1~xR z#4_B#2@XCfpd|J&s#FifqBg)z8v)#nI;u#chjY=00OT6ndSze8RS(>3>RM$Mj91oR7;E+~@|B z6T>Uw#IE{y4V{lyiC27VLf(B=TFTYtD)Cq!0Z9B~q7^M0xWnw?JiaF&X0oC-xWgP+ zt=$0bF9D^erV89&U1vcRm$e*!vsJglWwxd({9$$t>ZrGxC9iDj4c;wlQhGwOZR^qZ zpexJP7TwUBH%V(s3oBw>;(zr}jhDnbJXby|@)-cFJJieN6EG1C#A%7Ncey0@=ut%= z=PUhw4Ti(IIDKV(ZzrtrLdP~(4)xV{^(`x6bhMArmS_}}uE1t56+=ottcga5YZV=w zV6{kuz-VMp+27W7dJn*b+YC6Kp4s7caBze#*a82NvUS4G_qc`8eGqgLBP^OlTMo>V zIydO#2zr$(Hm|{48Qyr^FoS|btU>JrI8qMhx111vcXCD)cJ)92<|L(G68$XOzhta` z%K=oBXQPp?<-#;I*gWllRwuCK%Qo-w4oI-Ps&7ri;Vsl*vBS1&jr-9p zC4z;tPCJafv9-D4gxzSW(Rb%}6ep)v2Su}^9iyx1iPNs}R>Z;-jbx|2*D~I%2CaaU zqRv1J2UQMLi~s;Vx`ntUdD50^lCrg{BkiO&RIS1+tWiB`wFljnjJh4X%*zKMwGq6` zgI=xo&=q^V^q9AzhEx90fQ-;|bOP@%CEMJgJEkynRROb2RpA1CPZ6!`O2l=$*Pjhy7E_VAsEKz#gJPlSd=o8MlpwR6&#sfUy& z7{2A|>M%!3LF3N-mP4-@aY3AbG+eMH`_$%gHJ7R=(X8BLua4WLA7^DV)-F57&EFek1k~kw`H0DyhNs&{^hDXaXz`1@yXdLc zfcNuvS?+ro&z}iYGfIpC(e{hgy3F8<6aGqC)Cm1De-R)+Y}8vTyeq zk#i!p>eXzL7;3cu-7BmhdPrT#Ony`mOs2F|cUb?&CH29pV{yZgs1TFKU{_T{+=Iue z_VCnqiTKJxl5VMb=*V+z(VK)^^k{+dVid5{Rv~ip-$D4FB^_oZ3 z`atu^tJgSgc%_4GW`0Qf4lWrPY#!~26?Vjnd98!xr5vj%Q#B_zj8%>Uw(u8kc?+Go zdD`pXYmtLT0RV5sylHkif(jkm$|AI52Z3mKTkxOD*VS9-!ro(=zTo>rDy`iCgm856 zcNkB+gf&rVJh7F5T_TyVJ4vmx!?0nqQdc?HL!}sXSTgKPn697_)9h63Fg$cS4vQ*= z<*tmleU{HSJyc=%pQI`*6G7mxRB>XRv-k=~D^`+KGaVeFrRXp-EMv=bMIJq(mo3}S z2s6=+y4C-jt!k!s*t9b@^@x0~`d3xVTjQ2S)I6 zoRA&#E18ZHvYlkoa#wHwiNdPm*cfIc4D6_gXVl(KW7q&q69anWuX@W^d$PGxseNls zgqR8?Jiz2Mja@pbh>cZL=>tSg)(5CMz70hKFa~BC)?$#S}n1SikEeO`bh=_g$KM9GuQoAMfh!3_buRQk*iGos1X(y zu9x?9>FMk7-jHP}+sjixhFbsCS+S{x)|d|EJv zY`t1jgi{kc%s@nQYicuUruR~TyGP5MDY6uemgLyNstkl1n^W#lzh-bcuHlLv_CJB= z2I7yqO>ye!t4l*?9Tsb&1$^}>x?=@V$K!I^zWwO|Umf3486S01%rE%hf@fVFgCF~{ zHw`c`)yK{x4akmWW7M&{%LUUPaCJ+Q(*W(2F%7;WLieBIHjhZBrn|0057nmR!Q3F8 z#!a*KD4rzZhX-Pi%NG); zET)E9Wac3|tGa5!!@Ra{v4=z>i3BD>bxb|8oMb^!#m5{_^^EXMDdu&+O>Rf5BnbTC z#aMXiCIgP~cJUpJ9;hZQZbS%otsxa{Z&XmhfY5*Bo`+mPgn0FVoCH2N35r}BvK)#-ACBl$~=@cYPN zJs1ismKcuHvC7otZ<|1 zpg-Vh4?ZP5W%bA*q<*du>Z?B3n&H<`i{Y;-?vz*flan&(uXTnT2=#3a$lJaLy1W^D z^d>vQd&C|wn2Y7PBu5XPpdRI(gdlp(i3l)lp>TX(WPXFOz0w|e;vOTDhj|+wPguMJ z5g3T&Z5LtA7@0^yC({8xw!{Dt`vZRKw!VnsK{xed2Ft3N2$LCZLzL@q#2l3aBI(&U zBDzG@g)xHSO(4s+Y&g6QQv*(E`+Bsl;gqhTN7zxLgJYbp2BLS(7^?Y5KXt=~(UvM& z1Trb$VIUaSPGUc|b)&{;haMvj(C%kDN%^W9x@k7$93ABDQfx@~1wBNX%OiQMRgOe0 zE|289_Xis@_b9ahE)R7|-)EdVbYLKi)+jaY&xoTnrb9{q)2cjvh$?1AUFaDz!!X_E zNyj70VBOME*X}cj@Al~Hldo`2$Z$0fDjP0a?NDQdi$nfN|!#fHiXCE(1b$ze!6K_8x>tdQ4Gf-%P@Qqno zayzL>M%mkls*0c^-7c@7N%alM+AC!U?q-jriWyH=U14062*L)!Xw6hp+y^jvSi|RF z&Q=l_t4=hdTs6~l##1MbF9=e52^*a8g8JM|u5bkDgCPOTpzQE2gUH!>ftCh*%lziU zUvRYB^E2qP^=Vaa3T0F_!{dqw!GHW>)4rdo{qzeVmHfi7v8B6X;Ls>#R;QAgv^Uiw zxAmHjQ_u{Y61}^6AV^Ci9F*SbH2JH1XoGWgesX*=6Qp^x1}kdGCRNd5hS0<^nPO1` zM|;OaIz;K%N~$se*w)miGBZ6)S0orz(QPDlSl1ay4Ji#9_9lEp~#G*h(Ka z_t`S%+4l8`TAZ#3KhaZsM-mupl{0isW8F+z)@?1Hq$GZZT=u>sgxl6|)52wc70UpO zm^$*&V``u^6rVL)LocE5=xOtx&uvpb?IcnQr{37wRX5U5-Kkd zJz+(2Rut~!bB58hhnWgJu7oLC#S)b+EdLjh2dYYGMT7RdIfAMH;K4B8~^L)=fmgp36Wq5%g+bLs2=b7qzNi z0P30+sjDJ#B0O#(TuwtRtiU%E_2Ej9pgsg|x{?{r3|QTM@g2-G0(;MO>~2?h-P}(N zM37oQsHgTT3B3IT?Xo62LOrbkMn(96s6EUbY&zQcC!;vM-c;UUk znXJgLU3DrLWug=5u@%yLBG_@APnmlwf=UunPde1 zgh;hEuK@;6Ouqu~C!!baU@H2k$@#6I)rsK4>S#oDZAapO=~gqcS+3u=B3VVXK#)aA zN3rAAJ;7!se&V+xQvhkjd;x~uW==A8dp4cOV)00po+Or~CO=P5GsW*E^XdqYKM{Ud zMh2}+BvA@R1C^l)SrAUuct#J&`%`OhQfn*_uo&~xSA25yybo8bzE>|YK`y!v*5}!v+2<@zX@FQ$P|LI zH7w+jxniYONoPa+9>lUDEn1hebL$y1f>J5ESD^^J&a4Y*Vysv`deNDFcohTYFx6rz zqB1_d6>(;jrDwsx>bNpr5bjiYoK`s_;~#X#nZZn|KAlht#Wu9+6X7XJ=d_T2MZ1_@ z91d5%76t8s!!5m?(A8>2{;QWQIbLb}TO=9P6wwXjAKafQWTit;MBEDo_?YQS6&Y4e9ecG5!;ueh zeLh3YTlx%T>Fs((*E!6I(pFO_do|zcLXPY>h3T0IuMxG-f=z#V)ABQx!@0DjEbx@d zNT%WlMMj?!oTS5tP4&U)2hE_NBrptD-Oh6U08t~@e|V!=qGG%)Pk(7D`HKyvIV=nr=XTvOU!F`Ip~lcf87%- z!Nv38#2MSKfe3MXEjY5E{ahD{e8Dhp#2+Q}>VbgO;dS*;Oua68ayWBST)jkQLTcly zCvk+J){AEL^$FX>wBIJUU^xRi9zUXe0zjRFzHp2#_f-RW~Bs#uG zi(QsHSVq~Y9D9dnD|oQvl2p#d1*m#tk8(xCAP+UMTO^@Z3!7&0$zYdxXgc<%zyR5*#6 zD!O5PLY^)#OZEE#BnhO#y}Fu64s+?#Yh`*dZJ1zi+8@8tLb6)f2B~G7wMQtNX{|3d*-uP7hVV;^5O*7t+)2m@Gg0`(gVnA^Bf-Vy zfe4NPOE(ZYd2wo7l5$&7+KZ@oqo{nv^l8@8Gv{oZgx_ zYi9g~pRv*ftKnKZ&EL9$nS^anbIo`5(Rl3^L7p1WM40#E3zFMo`HC4Er;3qZSH0dr zXyW;PBAw##1&n9eACh||k(6X#5=j+508)NkNS*~MDf>|*QP&AXpFhVrLCAz6c%%YX zKUERr7E(yT8)a9HHxif^>;czM?q~k=3QSTyRcfw+NJ@6AsV}}`Bas<@fk!H6AobJ| zx|$?1az5CzBYDRR%T_RlDgs$v;+7Lh!F@$FNkKCXae-ROR(gFAa7#I%tL72x95<+T zfm^CYMn6?#_M_r9cF@@QvFGQ6Ms6vaW%UUXQzl-!MbpT-CJJmLL;5)v$W9}yVhfcA&OPJQ= z!rjP5S`=@g;FZl|q_cl*RYX?Rr7}dv{JOnykX+Xeu}iW(3H7v*fz$>Z?lBuj&1p5> zx2*K$sAEZ=TZ^v40*DTo zL5ADV%B}Ar@jU^|?92Crsl5-4`3^=zu}5!aI=#*;Z$(LVdbRP27$>=^8d9dcvKdV; zcM{O z!HJ}DEP>$`N*Y334if|A-UeD)K{C?HH*%kL$rx8aK15Orbt0+e6lnZbq;GxsiWxZ@ z=i?e5;D?`E!->}YW;nt3i?ishiQItzEZu(d3Z{M4V2 z+QSANi^98#9v8RXyXz~8F6XxQfRw?D}cJN42hu@nlF z*)>l1HE#JbCh(ceXnH=g?rt9;KlioG6sJy&A#o05taIpWR|Ltir691dUga(?3u7e_ z-|#PnbJzU{oVerypt8Y!t7nwp`Bgfu4G-kJg6=o4vo=+!Nd(uJ)laX6BjvdJ4QJKQ zo&Xo+*~#m^VWl(emHJ(a+tk#h!_vC89$I5;s#~lP8Q@s}JD$TLj$WjOS92wW)T1!an`uvD0#wzkm_dF>%mCR=Hdv(WHRnNVcQ3aZ zn`(EKj0jNN0Myog=_x&dcfx`0UcRkJPYEXI5@qjqJDNPf38)Pah*~Smx}XLXhm1xW zwm+FiG|R{%<$YMXC5?d>YGi-d(>c}e;dr4jG&s<|reNuO4>Hx7B&e#QC&$)SMdap? zk!RxoVgG>C7#tVQeFsP|>or&3Z8Q$DYT*m!VYk6M>uI23WXyJZ??6Zs)3NBS$ebE9 zBWxT5bmo8Dfi^le6mnRk91}(+WU{M;-w$Lbq#)(i>{~uwHzH#YM-JP50=y zUnA4+R6hhMkv$LflwBN1sEsz+T%$=@>mz~bTh2AA1-JJ{$D>|_EZV~@L|W$II}ilx zNEvM$poBeEw)GTv`}ZZDzzJ(fuhp<4##|&W8=SCq=Tu)1M>i2Yz7=T=sctiNqxi@t zC=_K!*l_b2q^o6oGNY&hP&bHW?Rb!YIsrRSB-(}__}IDZJ5n@D+8~LdNdYw)C$TBg zx9J*oBAVq}l9o~3Dl3Bue8ILEOdgbd5^|PV=*H*&T#e+orX3ON~4x zU45#-Ohd)>Ah_C5B)&cqYpO>z=#Zm}5w#hk6ozam;D>?MqC9g&3*pl|Ohl#jZwa0f zK_X%vK8Uq;z6uXiOQ*Rnh?KrMDIA1aYknL(qepzB4hnBYjdTY`cO;{Uj$Ee%$C)s} zr$ly11uMN}tF_aYCv(%$NRB6Im-OPp=ESBRjEDgesoep7!GWREErhb=VHvhpidgg{ zTtReG2XF-e>P4P;U_>h8?$ZpQ>neKYj6CXV>6R7Ati)(?N^qFTadBW(3YBE~3Y}&j zXEHc|FgVEBpJ!z<9TvftMDioWY#x}1BA&zZcCWO8s?EK#La!2xNX>I3ynfxkp9HIW znw=g2A1)6=3Y%vxkmZ^*UeK`a`0(RfVpeGq0ca8N!mbFAid_4renFGIU`5(UQC1yT zcTA+?JHmeH-%BzqPnBCF!1nLK2(0B*aia6tlmk;4#$`utQBCkZYb1c>7}uJoX~$y6 z6`4$oI{IPke7Qs&g69JqZC#r!j2NVES;Di!8urT=x6?bCvOcW&UXylpX)rQni2_C6 z3cUOId=YO=3-g;yJO`F4$+YS6FbPvMnmh|0@?=PoGycF(75NM`5nc_~fwTUMkxyC# zHK#_7cpV523|ITPL^Ui|GK5Gh!gLkGRW)_iaui|r75fKl^j0Lbj;Brtw?4so%q1Mb-^W04UTaUIh@blRV_VWZmvI9 zMB-(UK^)k>OuENj!kFdQxuJ6N=u100usen7UsVy{Vu8gDp7aJz;QYIpyX=nD+yoJ%MnaI;xIZuRhe4Az06gq2*A^DJ~V}s8lB*Tj_3|0v@ReiyF#9UID4n0tnYP!c964l#JUWQRtl~!9dI?4?`Yfp36>*Br zcQ@2ZKwG`@A#O1+hH5p~aCPE82nx9)Vh#cqt7eHlD8fXl$4*0mP(}y#G?ims9si!3 zFvCrRe|@H?YDY_@D)4c*u;EFYSl#*)g}a`Z#nbhE7ICvE>2D4 zrLqrxn#YI@ti~JZdol3jc|MoiLEy=_pHV~iv=l~w;8L8Ap7F83Xe!Rk*FF4L#1@^a z8*O?{xP>sWX{_HD3R1W)sIERqEss+|eUxme>PuFHvhhQo zqhe4EOcjH)rK@FH)#@ub*i;0|Ge)O^O3uWbIH}dLN~CSZq^fXo4-+30l)>pHa|D~i zNy53lFe57c#5VPBmOIl9KB7pk^$A8nVguj3!2wr1_f;tH9_7uS!80XJIczHxD(4k0 zQma|~4eqSfs6WTxRVX*}Tl^IvdHU{9mnvf42H$o;iKwJtY2WSGN!J&}Q`-qJaC^cIu& zuCTctCr9ie%H6IR#;aceGrxGn3T&v&e~Xu|5twv*$e!2*BFdSpTd)j%7@$HUiw5o< zkr#!*M$DV-3<3Hz36UWdm^6DBTZbafR5n%OMIeApFw3tt0#VJwjnX9>zQAJeanfB; zA?C^#-_5MX+bl)Aeg`K&XKV1Q%DBNd(J4GkS1bxor{i9wCG?m=iC*9o4 z{Tu6)ou8T3tnl_3&}|+Al%-ePj+>89Jil(=0j7~~2aMQB>hyM-M}+pO0=hg=z5EQX zM0HvnO_}75eI_3UdU<`9#VPjgz}qfi7Q?rIn?YKQDbu99)0jlfCH}mEy;?p!bbM6@d2`4K(ygC-K@wJ*04dp#gw=;kt}`TI)$hZ< z2lo|2nwW95)(j1J<#X~ub69}JH6nmgfgIJEQ7rXH-^1y;(!kB70GO?c+?4>TjikUV zdUM{KtB5DH?fcQs2APtyxMrv*N${8*Rqw%gZ6!yQmyCNmfV2IRvw+1Kz|G=Pj6i;` z#KbnvWI$jel#vf#J(k^3IUNw15Bmulg`S>?o~Z{h4XR8!tEe360BJfaps7w~MR|ve zrk){`Aq1X2DHVV+)j$q?h7%Hu>|}KZmnDsF6#!8SSI%X`pE}+osRkT(>*Yd1=$ynVOt#I_BO~<6N3M6C6Ie8w7<-sGWt_{;zecKw|ZPVJ{>FQKP__0jK19z})itVB&s z{T}Qfq_|>cOuf3a`V$@$t)>&nsfvDmcV83sAC)r=hQ7m2TNfuN*xWUv^e(W0H~|1V z7YrU+3?On}j#pGUv`OwHpm7h>x9*Owgs;+`B%;KyzQyDK!1R5~-I^|;2JLwgk)&e0 zHzrU6o4X%XQ7li=)S_5}jK8ZG;N8wAK^FjBK%&3&IjgXonU*$-fdlZPa7^)XE3)55O)h)C+g4o)V30)808q_Y*dhr1oSlYE|tiy-L(VBT`U- z`jP3=)MQNbX&ARJ4>G~YuD+V&s#j;sDH)^I6D#$wweduZ5Qk~hATMCgBS$iwW=a_< zR#A0jWKuzm1NgEWR>13LbzuUvV?t#+GC1#u3}bEZ`yN|-Ro)Q? zyIDNhGrTu^zQ*mcCx}G!22)uM?m=~JXV%agZ9nKKub(QqVkL|PClwW0l|R|{FY0Qbm{V%(u{K%Fnk}{DGX~1 zfD`Qx4XAu8qFmN+r-hEfm)V(OdGPuj*>hpHX#k2x%mW{Po;+^w@h5Of+^-r)rq;+< zuvR0gl%(kmelwe>mM)L!&%mt)eyPwabbUDLnBAnoX{ODVaPHQmvin@$+H>x)B*}42 z9jUd{pa_v}#BDo9valRu!F0L}jK|gnIm1aTrQRQ1udTnmr$n{4%)Q7d3L*ttsc@QV zKy2GXaagSJt{ghzwbi>vzxOz8u@pJ*riu|-Mh&UKj~9t$^z29-#61vRyPc=_2A|zn zi4tt&R`4WYF@UOsvov6`y?JZY;h|%h(4+>8wmsYw^#o~aSo!cC$1o;4ZD3VcAM&`h zpxGv;LTf#==%ryB@${~z4J(86dcMUPlng~b=ewvgBljf@Ynu0pUTy@w&-c%O3|9RP z;`2{UZ{%n$--3eQ(5yH`-`B1u~C1Oj<0piVG1bi>(k= zm6y-Aof{Rb>>ej>54{D>#oa+>gf7GtyW7GpdLCUL3?w8iQ!-+!Ivk81yn(#BC!|9! z*P}HpJs9o%d)M_5RVcL#R(#3ZNd<#xinVv~VIx_TG}J)Q*d)TSgN|uWmu^2Xq4oPL zactE6;bE6@-J$(>PVw@9WOGV^0@>?9Be{}zo0~Rr4Ldi|(cKvuq%XDd%kbwN%CznV z%4B^~i8+Hk?!0>|h@}3bS+G+c`{xyS5bmS!ZqE-$`<87vpl^oBe;p!9f!vd%T)G%2 zkAvHcojqYv9xRV1Ko^vW@O=-5o~s-ShQmBA%hqN&yusAH$Fpr%-MSm=tBQ4fu{=E# zWNB4$U7svi^vUnxF>%xkLoF&Nc`en-k^cF?SOjd`tax}ccux#8S7&>~Dib%x1f-gb zdRP+PHFbW6Od<<*gPq@pIgSM>Kg4my$1mrh2;~K7EX}}wR6e(+1pbfl?JO%0Q8ain zp{0*{oD(aF@~axFp^)+$uS7%>TE^s*AB0j>D-(U~V2(||Ew|xo} zU$A%EU&fC1I8%EZdiWSfF8r2*&6c*x26MQ55Imxj{LztwDo1itQjoWuGK<^H{`kdM ziUYj5_E~f&_F*b_2!e`{F_wxc;-S{p@Jzk|eQnt#AZhtpE2uCi>ULUhJb=rfnXU(~ zV3O2CThT8nqKIhHqozi92Vp(=VjHaL!o6z*U^j61G@o^zVCQB>Pk?;eRylFR)B+Hg zWSAutPsSw~zoO=*g0JZyYY0NJ^>^rY4>98%8fYZd`sA>kCoC>RcQr&8#hbrRQ;NLr z%*O(~;B$WdqLM&u2HKHdNEy?_O%fQvn@($7L-@^&-=e3Xt9Tr69(!=lV zl^J|q3wqAN=2{Df+GcaPqw@8bIIlmc3wN+hnoIJqyKQHJ4n98o>`gzv+G%9Q;OM;P zM(KO}R!p*IjtfYzj<}9Mg{Zkux`wZhlOq9QOu}dE7B7dn)W!!EWtnTyn~^?W-96Hw z=j+pJJ9K^MB3nO)>xdhT687n54$X+2f_9yb2oZBYG3dC1dF0wPJD5izK#s*YDNg>1 zHRL!zHvg)pW|lmB*PZKka%ciw$x{at|2g_WBbj(+%4g>NyKH@(Hm;ASve!V4kcj0i z=8n&+>l0D=SpU5$!j#9@UfZ1~tiyhF0l+)#R~F@Ls)Zqs)J`3N1Gb2B)REawGjMUi zFtK0%W*~w944&k;0n%^Bl8PB`sh-a;-!siw2WWoV*udVxeQ4Apf5(~Q3&QFIyg#|G zb;8@NAMk!y-&Vr(yP@kq5VJe`BQfF60ePkAkg5HQ`_y2ZWmLn$zSlvRU{$-R9L*6$ z)ms=YA+(tVaGdm>GYg;%`h42QkzUkV4ND`fUCavTOe2-o*B!_vUf!xrbI{zG;V+UV zU}Q+n`Q(%VQD$(dvaxr0YXSpf{yBKQhnQ_8GBt06uh-drITtPx;{SgU7XPR$iVf%QVbMv zQ+=c%o#eh9DQ>JZF1FTFjp1h;UWxh17jWx0DX^1F<*%rIa1Tb@RN5pVsLBZh^j z#6J2Cvy*N=cQ`{wu7UMMd3E5@o$iY-GXfB|^y(wjoTko>5Tnu)fI&A;4rKuV=Q^ar z(B6SJH{On-W6V&Bi>?j~NPqY)kgEJFB*f|;`dnMzNY^24iyg>tqXqctv6pG{0UoX> z;V;u3xIzbYK+9br^uzfotaC0`m@A%sTvybX3@UoZYgwV4gfmmAP<&F%TOvd_pHaHV z;lX=Lv>nA$D5SPWQ<1`4>XfS#c9;K@+fE00|rtQhuhapD6@RX;AO zzGuSWx5_hY(;Rpl@@!?~hu)EUN4gTgP|ik4?H}l;#yl%}nH`34TIxEP{0;qAc}5;e z6@#on`xMS?!4l8rPMC%GGtf|W2rL#g=bR6xgU4ZgpN;1%N4%&!BaJ8@exBGHfmd!pYetYa-S$KlyAC8r!2v96Im5g2n^u3=|by!}Kp-OyJ) zBa@u5w@{2G^1lr#N&tpAF9+-d<4H0oW}tk_Manw~bKhb(cu7Y&2nDk;zgaeHn5U$- zID@Nw>F2N{Li2fx+m7wypHGHRv-J{@e`B&UCE~Pwe~C!&rl0$5KN?SZ=^u5ruV#yR;9?YRMe+|IbRwjRVi{T7sije_O*R<=Mot=p()!1Rj zcyiXi<;YK8T{gO$*vCN(nDzCdiU7n`jwO=i0wwE+&lfR!I0LFN}l!b?%B6stxiFhIf&f=Fn5xJ}{b0T(nYGP!B zchfXIAK#9y4<>73Uq(rMFQnO9tbxddX7ZMU8+1X3e#;INnl1+776zKPX!klv?FSfe z9NEJU0|K1ta~1|31UTEl<%{JEj8w5&vEX@llnkJnlTRywoTq1EluWHPJIkV~i6sFm z<`inj<-nb4mXT=29v+TN%ic_0--0l==<&$TEdg+JeUHdB3Iv!L1G=cP=zr{19tO5K z1I7S{i2)^?WhL@dlGuI#3}ykqv8ur>%~Y|2w6G?u!BE$9_>=x=z}V$Pnnk|{Q0+j0 z9Uxx~Ae*jV4zr?lV1Tg05j9)aADhD&L^xnS)6r#fQiHBzc_-oX+Kj}2oyDEWM0tCU z1T!R?c*`U4W-Kasy2wZ0VhYQty937YXsi;OQ&bE;BUQu!Mhz?9Y<$GFL38o|n}+=~ zRpt4oR3%4urz4Lq21ABjr0mc1H__go-W$Kw1nOxC(HS=T+l6(ev^)QfEK}#34C1` z%zOkdECwuv2>}LqGJB$2n2_F?6SyljJE9(Cpk#V_p9_cXk3-ukx;{{hqyZevWMdcc zW;udQxv>CsRX$71040N1H#a3n8xbSNW9NW9%K~&cB?UF!ceP_TCp|0ld87-4+ zR~5tG#CVy}g4=I34(-k$d_C+`4=v+}#z%cg+dNacdlp0eAN>QX^Kk$e2?!u@2!o!Z zrWUVnfh0j^dJkR|?E}Q%7&otSi%?h&O%FU90Yl749vFT;Y=kDMcO|AqD^QmoTVW@6 z0+{;@B-s3Y#u<^El5aT@DN{!uum^^RN!KTl37?inM8C|;a92(f#_c|NzE)OoOE)&R zLNqh7gIUIVMlLbQc$sN5W=e5ug8I2fKp3?fpltjhDSLZR7gh}&;;TEoS)Ahl*_4l> zaUk7{Lz!4ANhiQ!i)=reH=iCxC@!#(umo~*FhThG_NdC%+@u5j4<;-A5pCm?K$C=M^Uzb1_S}v9xa;6j8?e zQtLpQ;HBPJtck8?F_Mr=>H4rL+RaI+@G;#CL?H{~OPVWYX!Z;nDyPSmYada`K4;sg`8ZJqBA2%zavaKGG3?6|$eWaAwje9bV>GsgJW57&&Hse9NKDFAe34@KaL8yyZ|E>0E!y$sliqbx|M7}Z#j;Uj2jwA-(-L9Qu#{? z&ZqBS6`)3qtksSRpdg%)b>-2k=SimN?%<~)rdb)Rje*9)7SOahs&LDJMK(gn3(Em) zU-~&if!G`jvfhzUDv?lz(;x7w{ju`DWuN`4ubxJ0>4-;kmKK-pKCyL9KB@*_ieB^q zc-BXPH2}}DPo4)2Ng0VZQI zEJo$vbm8P)nOs`i6{E&A+qu*kHm>Q-uQn33u7QOrE^YNubJ||2ts2PFB>(HEx;~X> zeW+K>XdgadFtFTgv@G^3IsIUMVq2Qoxl>`;mUvL!*G)<()$ zE>(cC%vQ(NlXpyN|4x4_Ck;&UzFY6Qp0GCQT^y7Je=C3Ak?cdJHe}CLi2R-^?+D`L z6bGKkV}ZxP${wb-%5wWVvr{94hj z5aeFJtqwH5$M{5i)-(Ez1AWUY0;xEsP6B46fx+6WH)UxjHPB$|Va}D>{MldeRVIyo zH6`GD5|oS=dyB!6M~CHng2IkTHz%xY7Gg&~8!<>Gl(%@|sD@2@A|^DlbF=ky0?(nRMz)2e~)Lc>u6?JWA zVlH;QJoN%KP1vlK6@bNZBvBsxxg-NV#|dU5A3+<70R~`j!7PE)rT=IW8+TG@OyISg zmjlylB2?0I7iOJV4cag{&SV_k^MraaNyjSNCU&Zc+&j)&3{S|cS9j2RMBaUll1V!c z--QpW!A-)bpIK|+;06s5d7dijAE;8P7fRbJ#Wfp#a%-^BlVq);&_(OeD1l zQ^aIBk+JA}OMyy0&WR8~gGBf;z*yO!%`ew{7J*dK ztdskFQF$jnpPEac4i1E~XI@6~I!r|MtuO9mBBRXyL@M*gXnz>GJmeBjWN$gLws7+S zDo+F9hk4km8_QQ`TbZ?~su<8nTIDB9des7%ZI>2lM{!i0{ic1Kh#Ax;qDf;Sos2EP zd@Vy%9;K6+2qE-IK*J#Fv#O~5$p}JCkfU-$munPWb<{z09AsD<+lMroh#<60e(=SU z&_d&o>MQYqZ#lMjhSSdeA!wl}O`0d|PSx+mZ4y{KX|24Q>xq}A1S0L9#Q=NPgPeoZ z_p?Xv4~;1k#?I-JCr5IG22phTh@`268&04bHC9L8aR^IPmDh998tQm-_Fmd{lSyDQ zz_6zmZ8E8~$GWoI(hAPoXT*v&^*(|k22}!BLnGIXn#)uvnvzpXzy7l{I4j7BJgZho zE+v&CWYMFuT4J44-jN=VkJ}Od$h`+4h{hPGHz%MR+$#uOq_uQ^`yR4%50h*0{u0m;X8d`};ZY=x zdm^TAUn7AiLM@6}RnBz0TtinBAwN8$2n{VMEJx}cqL1EkKuwN*-p(IDa*8=%H?Sp( z#U$8b=aOHGtZHvL27~9pT$Rg-OvL%O=ry5l@D7plx$tT?0%%*XM$bR1Fya%8GO}1?Z_&mS+gUN z8;_h5A(;~Lg{_@n;iIxOPWQv6zA{kY*Y-p5O?_278xflhMWB+6kWJeOD0pEPw=ALL zgk9YGJf|S+;x-=*U4POO!|Q{O`mj(vg=l}7FlyVo$Snm%Y|kjp2pF*)+&6fAjr-Tq z_1$xXMvV!&O`m8vBVpv;F6;UgWOsVGM6GbBW^%=D3NFxb23Zgvk4;5lou3&Yp|&vc z`~$9mT&otavA!UU<+sslH2OBqGdS)68)nJTVK zoVZyImNxQlP9~9J-w%fhP{W8_Tr5Yn3$+IuiT4cdDTm30qy=&H0xc+Am!giuZAR>O z{cdZ*;2b|+FpVyMbuJs>xe1+&uh!kw>yP=WCK5+QQeR%3836b$nG;Bo3KknXv2<~w zW2yH5EO;DI$XCmpuYT2!Xpjr+MDPyL`x6!)?T#7;kY?JN#90DTI%5$vGCj1_L0#kY zk}Ur0eGmHq*Dpxtj40)1eMT^M3~IAyL^cXHH^W3)sHPFFsNfs+c8)|V@^*lmy0=I^ zK8S!dhXF^7XmbwUvY}>i1%fBey0Jdn_Rq8*03WDHq=7t7__V0j0Ph#cy?FVlX-?%p zpA55Dx<2RzWN87@TX}3?cptEyr(Fiv^(2Lnehk4!y?g5ikdcLCAn7(f*xLpQ_Z))STvzUTr&n#o%D zurQ_3o3LO?vqha3kLOC&yI@({D|g)mMzjb@RyjT}W9ZgrdMkWZ1UXb*Jjdm^Ue6a{ zz!0RB$T+%5)|1Jb$j0)PgQb^<%LP8PnL=OzIOhyI8kJ=O51De;6Pdl&;;*}YoC%9; zXWv|U%dux_P+l!^+p(;lBLPc&*wYhk4DQ(Li6diG$B&Y&*yp~Upd2KC@GS1 za$$2&pk6*+QoOt+6p7!cNRZ-8#`kP1LY~=`mV$^Y5K*>9&++CS(eLCAS;(g*YR}Ct zkV&F;*aHmE*&OIy#W~5= z0)E~o8yG|D1XC>J}x(o zG>whk{8bT(PgjQlSaF_f&6AxjMUL(czZz|D3#53?^GvFZg+N_juG<5yU-bguSF>?R z<(ibTd;uKt9P-KglO~Vh0t?tiZ?RL?+a2qtW1l!SHt_u-ZyFJ@3u)6VPgP6{y^2uo z1-yb9xDYlR3A3QrErKOgWGUbVRInE;_C~m=xp3anP`0Z5c<;%BrEqyu(j%E#Bxcvo zJFF(1&%!oiR|bkTbANGGR|no(gPi24A40h$jggxJ%W%6f) z61GIZF4*^-G=QJEW|nI}hgHXc%EIIgWzoz$HGcs_!#23BBm_{L--DXxct*mxW_U5jvo< zI8v3^EbpM|q9g;n#nD&jE8r=n3&1y>Lm?MV;k)LU!B&p0uaZksYX?w-ND_$VK=K}{ zMPWH|!O;D`;O}1!8X7F)FlzJxx(5%x-fnQ;UDQ|0)rHJ;Ix3$Ktjc5Z0o@D&B#(HD z8Jgz~LEp9ci5=+M-aKhy^!e8>6mr4oAAU*}!{;y6Yb7YNA6-7ed^J@L1-I#PsOKNc z)LKkbr&Hm>4oq=d_J7o$8GEFJ58V90t-<1qpScKDCLwxsb@18IpSM=3NR?NwJZo@~ ztd-a$U7abY1|{7B@v<#WygxnVgmu5=9y|o>+>ULIa(5y5(1#I!%j@^mA_jH1@e>vv zDi>g)H`=1I^;44`jMu02O{(WQ!5cte$|BW|pii7Q;PSCKjH?ik2>ZhM<@Qr=1nb(N z?lU}o?PnwxugWu0Emd8+jGbTr|vyyZ+fc=UVfPn4Ko1ae#>H}D;> zY7)IIU{ieNU{`05fJj#ZRK=)KmH?-h>NeHbOkv03QerwBQh56c;y3Q@d)3g+`E2A) zlCW<2d3gCwbu~=kU0q!fLLym>VAONXP;z0KbAh*mjM&r}ynhE%4S_Cen;o-?{9++G zHQXL-|JB3HKe1E>oKGFl1IQy}H@2<-GTQ!B_UWv|hpC*lO*VO+$aZnI$`N`jdC0uu zUyS}@K7gaVFN@`nAv6gt*pY01WDjXb3X?x8Y8bj66~p(;*p7wBQ%mc^V#}Pze0;TE zokr(%>QAWFLN;E610rB0)#rCCeIvlFcClY0$JP4&Z)tdmJ->GE9!7ukZ(Vi>j_ zmWZCL)}N5fz|oNuFvwfQTE&P19YuZco=An*`{@*$ipbuJou}6A;1co6R;&oozIfR)sch zVC}pQ@YPxbGHi7g_Cf2k>yiGp(-Ol&Ey2kCi!JM^*F6imX z~E1;o;of*b}SB`q%X$Ujj zN}Xu80q>rXRg6dX4fCXxb@mOh_S(Tb>k>mVeSg}+RMZry@sWX{Ap)&xAYPfVKV->< z0n@t+lg(`;c#y7Av?^8*6=)HxfU&T%D|onwm)pQ4Hh(sj_mlCgDhG6l{12Of!p3>C zIFpMQ zlQ4ku8uksTSHv`Jrip((5s0W$n`K$V5_VE}m0N6By!&0F3UVPTV*J}#H5-8r|9|od@|OY8HJZF-`@9_74t14Q28^z zZSc$KRaC0!A?C0y(e_p)VBbJaMudRM;nbzxvB54^zMzr~?4t#@9>3$P!uXwy{G{p) zZE73X$PZ<=0gaT_p_jp#HF$k^d6@o51GJIL;WLnLq;i;-^aC<-dzVx>%{5#iKuShV zg2i$um{bsVO9Tq7g&Xm=-R}0z@(HY(+AEJU%0Ro_Et~^{$ZkaAT7}}n%1-7<6ly8!L zEw;ExS&2yCpny7jUM?U)vUbz11$&^bU$LI(mfcLSVDb@_YoytuummvF`sBm*#&BS^ zvj71fBciCVDaxoTp6Ah|Qeb~SZ^@g1L8}Lu-k2g`B{oB7)^8Y_2dq|(kLSn^qBt}c)&3IT0AGd|?9hwpsej8K zegSX$9=XFX(NqqKN^Uz$K_Ak4vSNBP7?i#d-mJ4WBS|*$CYLY5XMefi$rrK#wF-v~ zi||9+5ToBgTj7t%9`wMSRh1#WTm5$CIl^VR__b#;h|;UN8Fwq;zz585F-n{xtX6Sc zM3QdA(Y9st10M+d{I$U$BeD1zi70%_?}&6eYWTn%bgVSp@0s#W(j1PSV6V~dVeeq~ z&&lluts(1hvs040Iov3hEpH=|vIrc<7eM}9iw6}A-{O2@zFqB=gT)a%k%aJW1Wx+= z$!87w3HR3JCvz&|)sdbzcsSXW87bQ-7U(fC%!d!hP)j}Jr&!Z)7mX9s^*Tb1Wk56i zsd#&sTDpsc)3WHKNcrGXMJcMtKQ;OW%q0+S_3{ z)mtR|C-uW}ZTL^7-9eM(?nOKJVYcyzMR~~f$NNZE-iAZv@VNM(l(7iJ&~IiA*7m|B z&(y&dO4O)!>0ue51ZDaJEphe^<{Tca>6F+zwN>h8NTwhG!a@z*v`3#G5jHX){}bol@-TjJ%HO z$_#WbxeNCGvaoAl=1M#QpB77V4qbktYrGm3S1X8okyV3xfX`k*NJDqV1{0@&lbU`@ zex0f;5gX1CoxdliKca$V|K_hdnG9H32?yeszPhI78lSY?&rVGoZjke>T6jSW1>-xO zz%B69gVYN3T+uyQYb z=|t=T_kLh@i`kI)-lLfye{&`y2wYp*)SCg*tMXEL+Eh-A@rEbG+{9ef$Jzdxg7G$7 zD;Dh3RpDA`89=$=ScbCt_Bemh9F+^C)2UP0z=dtze6!cBA zbq4|e+WPrKY7aFBgtEUAf5(<=lcr|PiLAITw%D>Ct)J5~OSj5l@|D^Mr;II@*z=E^ zGUoX0tf-mxnZ;&LJ$bPXoHAY#N57Ax5z_BFg7OE7#qLIWxDGf*?KRM^iSC4OI8SWA z#KD~p<6POZ5~K=TPY3Rm=3S7NXCyhM#d&Otb(H0Kl+6eMHhl4F%M>Fw4){ckiE1iG zWY&OGJ>(bFBw=4N(ws)S180jD5T6zBhoM1kfgRJJv`G0t9O|Jn#eP8E%}if5bnsQW zClL(;=LyH^(4eNXL^n^X)%B=+0*Z(de5%W_1iX2C^nQHL&wHXzG8}6#G{z%f%=AYe zg1HU3WidG8eRG=6A3khGO0%Jd&k{Z7REp9b{BK{0K>C?{|q9sivt2 ztb@5J*j_{qw8Fc=sbA&^5uMj6zv2$2nWh=GGuhze?NSPi(LMl#x3u0IcuK}KCC&(F5xaVPh~UxdJh|vA z&KQUA@DHAI%9GiRAtVmmB0lW0Ik-j4XwJm~e0VpL8GjFeIN`hpw5KM!RP#vzK^yV` zVm#8fsT_#Fs>_X6Wwz}D#Q4X-dP?Rj;~C{3*OO7&DkeJ>mpK6AA^r=?u!(7F>U>(T zsW3_T0fgMl^bhYx>}mOy6H;lhzXEGuHK`Kl{6 zx}wI?f~$eqPD?JCQCL@$VVq&PTUllm%a>E;=Xg;E;ClARoGuir@f#TF@>sbKF}L4}h_B zr?uezrE+?hy~-X0HrI9p2kG{=^{0Pgs3rH?v-q;TL`V)_CIM-LOC5OVdYj3%d*G9c ze7|Zh(zkK%0F#S!b-nBG4C(r4BhC%9Q6Bo=BvV+j?@A&Bv@PeG`0&NG54Lw&8YDaW zmB=$PHXnNG>~YrbgZyD;lReCSZqI?5&osz-FIeB5@=u@f-Noi-@jP(U6*F;hzJr{l zKeo5CEVaM>qsvzY2&rtP|4^zhWqP;P$cmk8TD*KW@1e}bc}T^wuI6?GAL?y)IMy^N zc6_w0uZ*3{v2YxW9hUt~p#{HPP%@}o!*Knua~b4W^wm%9x;Wb&u&bEygewScIlJMg z1@_FVAlX0~W7}v|4o(F64G)+?x)HnF*5O4f?F;ohaGWihgg48>_UNS^K&lVfJ-O`Q z_lk&K-T*PLSKz_{{fC1^DHK5GVWb&5FoI*3-@4DFvE;IW*Xu$Boj!MLXngnzObki1 z4sw$j!=hpsMX1$+Yh&6a%&tNVN2(xIblRsL;-3$=h{NQ|(c3FCIP>=;lHx=r+i=s! z@Ntpaj{utkvW_^m@nI)6AVN7#m+h=t1!w9q3CGH!;FZf_9&8;}p@uFGQ~smk7c0S; z2rgrdBc&h6Ih4+8AC)te8C9?$JYp5n?7%~3@(ju!aB=8ODf>nZqpfbPa=uoXu8#A4 zhmr!K4qL17-X!AC9>SYjSk4JGIAmG=CIG#E*5_G_SVdAHQm34Nu>6GcpSTZQ!@GNOhjeQ;^`U`IUy-pFe&N1inMkr^#` zkQlA*4+nP!TsDvG?YtuSG&JkLr(wn>z2aIo?){KZBisS1$bFW292hpnrznAz+VYzt z^e&3yLpkr>k(q(<3x|9hmd-~NferD*&8$yVBYeWXS2R;kq|qTE;Q>>%YZ`<<_(^uZ(nrMF^h1 zF8apQ;?L)3JYb_Wyb99~WVEu{)8lYJHyc6!d|(Szj@?<|E1{e9AeJn6oOm~r<8m32 zB<3KRtePZ-_al1jBWgKtd$vmnS(ze`Ba2|MP+3&&d8}viBc{5}oA7Lw%l5NI_{AT+ zO|k+KL~=j@yFPA~gWxc`ayXhZLRAPFIPhh<_dGc*Dgq8A58Vi)pPS z4&dH}c(D07bPha}&IU{&2Nz^B1d?Y6#B@bAD-@615%r&?;e&y*k8f?z=V*&6J9K8m z&hq&YSxX=Gfd?|&6^G@-oO8c`$MGV{ISk?YAVLQoMq@g-1?<4H@na$ctC`qivV63e zRY^vMR0+Ywn;EQOw{~a6j^H_NM@U?!D9}mGe93K3L!z7CHY%V3+ zdDL9^dK$$pg19WVId^y88Ih)P&VB0Ga75a@r_mVBAFJ~qvbINhSr(NfwRx|HC$dOr z5}$P7inM8+x6h3FQtxKatZsemxspqQZ#z#UGNF`&^U)KPS}&8iOK;_-x>pO1wW)IV z{Y>G+2ipXsJ zF}|Ihd=*VI?L>wwk9|S`7WZ7lW!bIZ-)H)PSqx^4qSjt1H@#)6A_kMx>W6GWI%06@ z!Atr3yV+4DX9m2IVcONtD{vAzk(^M)w1pt(>wLzsQ(903s|bo3^4(3o3}e3Lx4Xkh z=};L8ZFnI+`k%vOf#$5y&mpq-u5dy+4rQslBcy=DhUX;gj(m3KWU_-v_5QSy!I$iB zt3eLWmj`RqM~`<9)1@tDE#0mhxYegm5D4+h9j+VD1xaXeTEnTiL|)Esks+jO@YxKZJ#a*-wXI^TIoZtNhg{!g12?4hx~5|Aw~>P795Kn5 zT>YF`FT#%VrA?$`?;KNvSF!saxEXEZ=Bq5*M+f&scp2^H;~1{Ur`}ZzNhQneNu=uJ z#sRP35wM2a3|NaS*D1QlTVzfg{T^pp>Ha74jvOv0c>NqhUiFpE2$Ln-O9Pa)HF^Ox zQ04#opa1PY{qO(zzy4qU`d|K!|NDRXfB*F#|KorB*MIB(JpUU1{;&V?|KQ*9ul4W$ z_8D9(|L3iCzL>w|K0 z#z-C?P|+jVEIt$}hHTmJ?dd6U1v)tx%2lqLM+1hM=HzAb=&`j&`tYe%+w*7XdQ|RS zh1-oPWC~Uby$Lth5`=-MSd2r!9qLwpg7|gmp}p7`>^JE)^^w33<;bf`OgSpL;r0aI zpkjn4-=E;!RK=1?8y6~8AoPoG**1PZE<J6xWo^lEwyx&0nV zjJG_S@pep8g^Hei&=u=(1PDbMDq2>kO&qzry$!v)34*_li`5X_aHCE@H@9xsA=TYY zv&uZO*rB3|Dh*Al8+!y9%F(Ot8JS|b?@9ji<|`DFWU^>f9FK2j8Ic7oh(S<12FVei z@K*HdFGd$EDsU!{gJVzCc)%HE{g%fJK4N|KmXtk5tEf3s#6uQelw0K2)QbV_uRUd| zTd>7DonP}UGl)NY$BH!X`XFsR?!|6uW7UYQ)*5OjuJB+HM6Z5Vm8W~r`3Y$(JJ&?% zMIMdl1W13~CpG{SyH|*&8hCvj#i|Bs3{~?D_Ji%NVoY7FK+*u~opgDNpjZu4Z_XD< zyaviUqE4%x@4RF-7ox&R+>d`B<`(b6zpogy;))Zmw}9j!gWTKuY2F>NW0kg3l5vMy-LdGoepBJ88(niI2yu<}@RYc*c= z(_YT_S`#=@X||G8GdGweJqe6n(!rayX{3bHJhTu%Y)Zdoz_hl^d5IDY6MX9S6ahr+oQav~wF#S2cV)-ov+-hHYfH~6YD!25~uKt&ICt(3F% zj1<&O6+0AcT~MCbO7+ZQn5TV3sEO1adZz4>kKzYVo~izEWY#;CmuJaQMQ%5eXUohp z4x)K0TI?Qv4J1vJTxe3hK;34oLX(@>)527tR{M!{sD2EeaIBNV9&YiqeE}@8_r8Z% zA4>~KxG&mA2QP*9tZNOekj>uUVI|ilr*1-*saL09n)5M0PuL|kK`mnh((L;ir(R-h z2+7p6AS5ZasR$ejgNi)hXnO$tmnVV5>dsH9d9_QZnol$u zp9>`Smf=ThR{Ye&iTUf#dPbT=*d*gA*1g*uv&KD&B1J`uT;-C53YxI8;d_GkQgh)% zSp8PVPw7rgpkoM3l(t@Ik0-sk7cXB0p%7IHyhokE595;AFcf+nc^?3ExK)_yOVSkS zm+QeEs($nqBdqmJ)+c^_#{8nz-kH0yF>;rZ4Ku;?&5|*#PTJ|%Cpig z#bPQ}oa7h_AqF&>=ye{_sw&dZf?|0>71y?0ibKXxQB@I8Nu2-+7*O0LzCRe65vfqo>=^?chz0fBUxKTG2Lz&244_7#ubnV|_y4aZ5tBA-H7wXEDtrnQ+fA&$&%{tb1sxP4d?b+9>l0`N$ZMCk%5k*!TLF5l^`;eBOOAih zBS0A4zZD52_VIyMeXNl!eoj}^w3N6aj;nrVP2nP8Qk^$6=M89<+NT|t`Z>@%Fpvw^ zimdjlhjLb`v(d&b^;VpWCen-b;;E=f0=gw1k%l_am2l2Fd;x)UBo*wcNLNVLGe)&= z@&_M14G3y-MEc9_3wBWQJ?a#awXRE2gIL-}c@>*C6s-;bvRk_(5fIt?nv_6ftNiGR zD^|;PpXtS(*K2~*(3-FYX00>}x{Xk}06aj$zx=^hW~hDC#I~{{7g4E7D*MQ}i*guN zmM7K6ZQ+lxXB;lOp0QUNR`jAf%{%eXu)4;yJH_PUGVr_=abk*hPdi8~m$RG)P1c&y z9B7l1qLGnoT|EOKlfGDSdBr@Uw)0kO+uyVeHmp&J0k=?UE=pg~6#j743?Vs;6+q2V z>XMWmU|+JZ)yhOxOq;%49=8#u0Q;>CVs2O1YO^)Qt>qa=n=SC)R@@{{K*F@HFAZ18 zxfU`2;N2omO&Xq+6Snmg&(xdpa8a+XL=^X>2^SDA)v#vhu_H})D)#Vec(6vw(d8>< zisG({l%$&VM0i_XsQk?)b#yk{(=9sTkcpGBdNoI^wW;zBHDc-A=kdzgzG6KVF|v@9 z7W$?&ITA9l+aBLFLaG(tu=2d9_gE=P-K%$TN}w-oQ|;4&RjhG-^v`KlXucr!AkP|v zR*Y-kqtnPtHM#-_ZaeZ+9=Ch4z=@=>X0}6UWYCK*w@x8wd;L_5I80mr0bA0({9gr$ zFvqQQ^%4#anXOAt`?^I$ul4ViWbjT|>Zr*Y##-sC@IG1S&}>k^u%s>A5*_|1eWB@F z7;bcr7hF_6VpU(#Tp@GFTM=Hish4ltyLR{Q$HwyQZa}Bqmk{c`{Cz}9DF4{J3b~%V z4)x}J+h}8T9$qbT{%P0l&I^=Ntq(f^hMNGYSHnHj2{W4Ih6&)hKJ#)nr%&fwns=X( zxOe;aI7w>R_KUMuH-InmbJiB;f_xOff^w>;nv30x*D2DvBe+xO0drnr`l`_rvqGZ{ z-;ig8%Z=Gv9vhbmJU@2dX&%A#v#xCgKALu)Bm=>n%EoA+Z8kk4C2jQ$ffDd!AMG>c zN!u84@UeP7dir2ASI2koQLlOnQ4x3a5Q+M^p6+l$$0ttV@ci`qi>?-jCA}7i2HHJI_WF^Ez<`fWXbw=TxBH8qdV@9! zygJ_X{4s#6z0YqT*)l_+J}~?^v8J0UR;(v|jrrK9zobvj(nHDc9VO4D)fG80i^|q{ zt^UAmv+s=*ITbHtPXTk+mc-PC1MaSNnLOW$nX0;;*><|_)Mk&wGSU*s)mr4&`&x!X`153mb;Vmx95$Cxh!nSTX zqmkLpnUh~^D~Dqq4|a>P^c-?9d3VzA@0nNzz7_z$7EJ6kO~>~p3L~$dDQ%ZIF54v( zkmIu7ra72-rIYKJ3M8sCF?U~ZekCfvr}aV&lv6`KN@qNg>|WmBLX+=({sw0ALj4r- z?yJoAKA-S=ToJtU8cLuWt&#fz6LF?21K!a(j^riD=sh-k^ZG##xxv*ZU1;3;D`158 zIjWLu#Hy_;(xotcOKvt?FBM4>y*ykFhk|zUN{pZ;9_^eJB~LzIw#T#<{e%FkaAOQyD0G z0Y_@<)|2MaGkXY*6%FjLH)^JNK)L255AU5yzz9f8qvQJd9*lG>wO;(&2k4IQFyN z9DSs_RR9-d%3V`!z`|KCLBq)8SuWv)V`1nM9>9^TlG7DN!%8^eoLH`7VZ}MoAkyVF zPgw3GY5IJ^)>75Rv_K>`E6O!2DSBkOHkKQhw@e20Zy>u=@#<0iQXk%m7N}osHhslg z#YaR;>GN&874S(9XHKr=ws zO%;Jq*G>UEX1$JqRR~NyWUC?|Wktm!VzvBaqdY;(qCOxWvv%sL7D_BbZT>u!Uy#AK zBD_(1s+VQP%5J{m1D>eg#i7TcfmdKQr9A0_0J3@ct?Q_1CUl!M0c2bKs^Q4nam&dA zu7%Y!Zxt) zO%*87zybN5k*+0I%*5_%^vQPi{5cV=2dz(bGC`?CE4abu{;4=2J~TOjP~Eq9o=;D|aZ|;J zsm5*racW~1O}!O%iaxHkK67Z!as|Ai`8o;IjH(9EviLR@v2z%P7 zzG5h%HoxMmGjQp8CSnVv2R?pETAVd{GvM7iTfgOq15iv-oq43u2ZA|e-7_9k==Usu zc_k2h#WgD|0D5MGJ;~-%VQ%S{-Y{R?W7=k?1_B>01Ym`|Wn6%XI-z>ps@xn2(0g2w zA5fw|1ns&-V>fb*NI26bBiY~!0>l!}*a_Rv(4?N>`A?YaWpI8gYB(7@nlqi-z93Jj zIvdQH1~Sjx8S`xGJ*LCCmOsZ#aJ@%+r5jG#52@o5vsD43jd`iTjJT@k0znn`@d8Gl zdBH3yY(DeCU)PzMhZHCpea5^$$nK$=xIDt$qF(G7-Inq=lfh2CB7@zyD*~pZP@oFK zQk*07h?Ac~gAaBX9}d;)V_`k~$kTrU9xL#|R-mezoEhoiRSFK7=bqgsr-|p$3E2P8 zbOy%wT(SiaV+)_6a$Vv=cYgP0_O8&qzw zb@=)oVnJs};;=9A2N<@`INBq@P15h}AHZyf?rvA)a7v>?F6(Izoq9EYLQN}jGqfur ztgZx&X@^^Bv5qga5@D{zwR%GQ^Kf&G`+>n zpd4urfQ#E5s-1zE7s|CsBKLyF%6G)q^7lR&c3>HCVvp3Gx&l77qnv?>n#m^-!5+zz zCOd8Hpi1##)A!p?c#Je}nf|(6?+FaMO#(&b(8QLCF$I0F+ho9Mm)t>41_#m+uklvY zv}Nd_B`3O00f5EZco|oOY}+aZC`zA~X&Q_XQALfwEtx8v2Rr8=ayPV(6A={|JLC%@ z`c}_}!Q93Gy;OU`8KetZ>K^)b0MYxDAuS9%En5E`dFIo(ym6Hovv0i&sQP}vs4Cc1 z9M$D=9%ZyLc8}Lsey=`%jxOX|u@*rp|+;xqAf#mp!GGFy2 z1;K4%6-2W8L^R!SH_UF5$}ad#0y&}b@cgWPHMnle-Q<`t-MT9xP~H;~=@C5rG^AlO zSZ*N>0dh~)6KDZ(Q&eV-wkoU(*8gziMbd&m&#PiT=`B_p31aU0@MkA4gkNm$#Jp;_ zPq@E4SCEY$P(ErjF$0>x4M~`#4KoM$TTx1cyK`_F=sb)EQFzX+NfcB)mfr} ztHUBjw((0ihr-joljj% z<>}}S5GTuwH+;eTS-R~>xhGY(A+zwsKhlsn*oIZT^)$X?`R6TSx?rn1P6+Gb<)$=T+zaOsba8u%2wY< zTz}2v_MFhhbd+g`c{x{bWJA=;^Z|FNB9JW9Asd2TN=P5ylF$gs#fGRC2Rb#C14ha{ zrXl3T=k!M{B>CuOAWsP#rlG?3e0 z8~9t!7$%o99HMF@pt;mfQa1$1^b23u6e06m)1ZVcc)HOv2+2_XR-`|aZ31n-e8*D7 zNu;~3z(dv*FWdmQkJ#(2iX0q`R_)GI5&CKa!oFBhqt&M&(Qm&r)&|e)g%)e=bFvU0 z(SUEgAlwa}+I?-94X)Zi#HtDC_SO|74d9He{bE39@WzfS-n0SJYI)Io#R(Dxj!65k z*4PkaZ)`xgUMGSEcc|xI)dla=SQk99!QEL_ zz2B@Q=fUwk)36sw0J=NFyW^S=R8#NXBZ}J_RsSd_qT(dUwcc$66jy-@jWo-e2I>~0 zR;^sA!sevuPxj%+{URg5{+bu?R7P;Qo-v=F8QtekFiZo&)goHMIY;#Wki z)*Jv=HLyOSAa!yj*U3^7D}#QTuZY)J(~Zsq@#($RZ)j)A5y7c#9KO#$n{Z@C*aC;7?dAHcz97IOlAL6vKG#qN4fWf^P^H$E}V#Zl%E)8jzu;iULNsrA0)kC#mP$M`fuzgq1HH_=0D#!Tp;d32XFrz`YAHMEi8?o#aN`n*Eo8XTQ| zrn~hqK&eT{p3jcf0Fy4k-=sTw%sY=&&nRHMcu$w0iX#GFJ=#5xy?&|pm@egV95;9p zn4>#Jgy0`dqLB_3mwRAPmTyQvq&C|RH7&U_K1K!g8E#Dbat(e?DH@)rD^)DN*BU`Rq_3Na3cRbrr+I80R1-=~kP6cH zz^U5X$H(`!e8-Nn*Y*|ZU6e>2A!oeC;nEDBo4SQK?})GPB_lOC&6$&=aW3Z}r|PLE zzB!BYsS!iaSnc8~hla?9jdGiUJ=XMk2hd!^(3yb5$gTpr@$5Pd6A#t0mU{Ydc zO{11nFQ$Ih9cnYJbu!ntNfB_lQ`$6-@)Ji)lJq>6<)O`9L&Mc4hEwxKzBORVeO{Ar zf)g_g(OnfK;t8ctz=>(NsRj`2Da}j5SA+pX8Zn)k{ih<`hbpE&xVV91=zxqajZ8k5 zqq_lCUd=M#nKC2)liOIiu}YZ-irk=Aea01bgWqTZd#l$voPG5^8+`mhL#tw? z(OfHgB@vu(b&X^{^Hz@F7Q5Lj8cFfbUGc7@b6I8^{9yG8t!b-rt(S5JRf?}gQt&9a%25di{dNGnT7!j)@f}};9&pcmLo*7@P@(L?P^92d* zkhq0eF}4wP1Bh!wA$1E*vxaH;iVu9Ma+=cB%|3suVBlJAGDIq%pn+Ot+=j3dF25MO z5sHR;IYu5ox++2i(@>4%O3-`HkJLzgm_a~d)$z=A-lB7(Lz_NTzzZ@EQo3&1<8tu_Ibw`-|?RYtViPisl== z-k8euXJYM$veXU$d+NME+UV7g zyj%Twf}2JAd`HIC`fb7;6wStpJ-#3)AteVpLMy7zv93tZA-mCG<&6wZdTPmdTMDQS zvu{|eeap!ZD?Rqz`|Y`JdP>cx$K~gyV@^lDj;yWsOmkB)LFU&szVxf#MxB z&gC;_^@s4KOG@=8(bUpPIt<7GGgL)yF&7@aZcmymcfAMQohE7jSeT3M$h}_1_P3%2 zM8hvTQrDS!l@TI+tDiHlbln#KezfmzJzIVj-;$1mM-Q1ZjU0NlAZ?L^e#!LK7Z5N|#jX%$F+AAeFUFqjIa)Q)>{c%ahz; zR<r{>B(BK z4TmzjRg)nITA83)x}3DV^xVl+oJOxtKeO9LD&pB*MnYWmTBF2fqy~~jcIy6-@Dz{C zSU=nmy*PnS=#U+pMV16x&sd*VS6A$Wjr%DG-m%!%YaT1{3UTfA$>89nau0*FS^yK! z75@E}XL_@{Dt2h-YB32U6_wM;x)bCQRW&QW=u|~8mlhRmW|FJ5*XG$jHSa29q?Fbv z*@A4Q;fqi&dN}SyhT1ESNOp0kUn3P=3DP=}J4+WpX$c3TIzFva$~V`MShQY1=T1@^ z5nXC!lX2#XdgwK^0e^rvYAj6yrw`2~1u~f+h;~H}Ydv+f4w{#8>Lo4Ob8f1^-r{&Y zd`AgWA{E3Az7{)s+(4-OUV?}$yyb9%YHZa?)1n32`EfC^0!`(J#nu92C6pB$vqxr7&3f_XewKMsnRrHba2pMbHxa$OPf!hNk(S{ z2T1LU!>Ge95#f1N6+hPM4y!}Gx44;Z4*9b>tPJad`1P5`4rzlOFluk-Mdc*oa}zCr z7!rT;bBU>&V2-y_d8y5j2Qc+>+6c7WO|bHMqty*7ERk9(a|O^kUTmcuigRpcYEBDj zpmbf~XXZ?Az93>YAHC*nMPc*|IP=bJQd&B;(ximL%Gr+Lkiw<3KQ9J~Q4 zr+FDI-ik2BaJ{_canq>{K1lJLUDKoasf{}?Nm-b$yA%L!tHOs2gF3b46_5| zPc|nsbsUc9c`+gkh!RsPH&=kI#Xt_dOO3Uz$JTHgiF)O&_@H1#kHI1_MVjwPp!v|t zAX>pMD^Y$5(+A0>_4twzNEg4|t4dpEExsoS5Ou*y0H(T;25|8l z4EVPr0?=0^fzx)yOeeWN13cQFk~x@t_qlxDgD&oi1!o}qxZE_(13vGcnY&j8Hn@!p z;XkejkjKQ8dm1LUM5)IiYi6`4KYMZcmc27Kt3nPtF*9xQSiyOu1M ze)0AZ6YztPCF&yX7;vi3>x+^V>gPTB{Glos^txY|m;v6XzU~i_A$`jqd1Oqh9ygo z=%K6RY13DvYr_M+f(%bWnGwQzQU4zHC5fP(uB)Y9=R)6}n8|-F?Q0uME>^h*xwv1n*Pj@)!353Y9*UkeGZiB}i;V6A{^sDJ)_aXKD{1RP811~J<{0O8 zau3AS`ZVLQn#n}3Wy^Fb&(Bk4ARom2HAckBN&g*)t+gaxY7{(NUogR7=4UVLp;uYq zqFBCSrth}7Cj2DU9Y3G47B=E!V+&E6`#0!ejC5Tcw-AQtZ*X< z!Qvsnp44ly&IF}tFe80*N~p=O`wPuKX369XZgYhnYN~vGqHzZN&Q_7s%P$v3Q#n9Z z+MW?rYw8+}HnX}&P0%cvnH0%eAC7w$-fZZ&XH%0#vn7hzP2>{MY(~^f3KVSB7xAVkeu4D^4UDQMbQnQtgd6L*6`YXZXEa?5#(VF#bOe5T~!7oN|GxD_fx^ZDY=sxLUV(QYCg zp^pQUPP2Y%n7h~n<8a-VCu@>&_!H%Cd1fS`%IRL4YV#!jc2hY*l$jZ~OdM z*(t>@4!YvfuA|Syku-1{Du=CBP1cA;75Br$ws@Q1=7>a%be2p~OG_!tJIJYapBz=5G z+G)8fPMYO{v{cV6F?maK8{s2!x&G!>oWKjMi#=i@DmH>ziYj(sK99=Bs=chx6JfC7 zgHaPB%u52#O$5UBOFX?5X}Df-Po58&9{Wy}a~VG8n$`(Mb@}s$stEvh%}b_^eSxkn zhx>`D%UmlEGEx4bQdv$Gb&1G~V%7Iyi0Zi8KjC+$H*xMKoDNeT4AGyLvF0rY4Rdul zPOX+_%y4v#?EV;b)L;n{=u#IDx>+Nq4`(y-7X{M76`z4p-K+sR(R(5Ia$SoODeuem zHNo4c28w1b!z9Ni=n)m^joQ5$w#taTVloKQzztWV;Cb|7nLpRXFrq4*>qHP_P-v)} z#1iTfKv`xYtbWA#DBX1rY`YgYeE0|$M$6(9O}jwv!i*7RNGe=)oK}%vvtE9H~Y~7CF#5$8G)S&Nm%d# zlzmy>7yJO@k^s!oaJP^K2lsjZa7C;uhAqCu&d`6gnAlg3^~n?~e#FV-&QmR%pt|ync?oj5KMJu?^PhAz*1U$>sY7euYzJLF?r!);2C}!-S8Xbvy)eK<*?+eMYXtUPQ zf~V6(*2{5C8d|aKC-*I1ifJ`E<0*oFEoSh(cG1<7|62%w)iVU6>ZvmT8$&P8QJ%$9BCG8 zw-I;MR1xr&?gr+~iM0SoANLKUHQ$#taRHLvOs+Om@p-yk@xgMADuTnM=%WF&9)6v! zig3ylms{i^RloKKPM)dqOm&OHJ%ixEGn&-soHtVq24U6K_5^^sbHo%^1ecel;yg*B zrPuyAef2Tswd1jmE7Mnc)_{Dff5-U+K)dmM>NLovE@b&aHe18mw9wbbYrb5OdB)Ua z4YahZP7B#;$K8j>O{DE>A+L%)xMWSzK1p3%K)c&@<@R=*{g+!fH}GMt3!b4T5+-^p zNeiOl`Skp?g67VTeDc1mB25RT)R3pE+*p*K!R?WNuQ*#r>Fcf zMK7FvFF5T2>C<&IT{sE{E=;}5#OZOzO6p-P=an3H%ad?L76MPw^s;6S!!KS!L@S}@gqy-H*pIk^t9#{ z=IX3;)zfx6y`v}{UPl51)?+~=sK+#C%HY*TkusRa{<<3OYffNrYw3tYRv zI29*VjZTfoW_yUzbjvrqz1F!GFY3oN7+i4xQaJ9>?e>wCB&B=l0B zN2V6kqyZIF;M??pMrNXrGPcvi&M&x2a`9FbcP78+te6?Qxm2!!9+H^fJVEXYBDb$I zq#A|bxD0h0hsbsDkL>a>L2Wg<5~o6KZsVBgaEQ2NrNc>2{it-SZwanS0SGtJkb3eB z-SUyn4V6Pu&qp2IVPN(3JrTXW0fNH^5shauYRW>i%LmUazGwe16}}b0k0=FWGu7$1 z2lOO()*XKZjJAvsSF`}HxT`1JhRP(kaSYcf{Lx^XV6Bzkb|V$)_@Mc_W}agYa80Bg zW!7fqQwOJN#DRDY0>!BcuOS6dZydrShC>f2u?E(1MFci16=SQ6>mwVIUkkZU`{#k! zNOc;zGDXg=AN8D?te-(nZ31=eHdKydd(nH>45H>h(NG|rbT+lnGPj|JrX`_lTrn@u z?*>deA_~;0ga<5jx~H#ms#86(t_@!h&bsCX;^X+O$B6TQI*oOIg;~B8>89^`0^oNS zgmEKrX#`*CYtA%3Okc55EA#l?=wYVu4KV>!3PXX% z`HMo+Bt}}(dU*`riU86S^>9a0C>b%|3J=uK(gMny9rXO#8U5fvIPs+1{K|>2m?>H-NEm&s0VKu`_QVVeO{z z9V?{p@&)N5Zhq{^pe)@|(mA9LfJCYNawl#09j*N?wNWCPytq8lMW}w_9C@MBH~f+% zcmaJ+G73;@*s#rgTK@)aHW=vCCft;lG=!V-riutQ*%qet* zTWx}DFDurDEzXR!5-doxQ!X`Ux8z)$-B%>OMEesgU()(kbwy%r{1hxQ2k(34gvzaR z{mx`N-b;XWbwH%n>6dJ$xqN<*k(+Ez=UVESq13~B0++O-A{jk2Sjh_GDR2V3qj?Bh z+PEM^TNzHTW!awu>~2|ZIVjecB@TO;APq0AM$kgWycQ6WtE|U%}aojyVfd!EBa5++s2V%d>Dm|1B5SN z$8lP?*he-F2jlW*zZID=**D}$*8^H|jH(AMAi2%I*JNf=gDsP6NN2`Tz$enGas+5k z=>r=p|GA~&{s?V!OHZqU+x!B_x#V_g?z(*Ydw%iXaYUXb*J-mD-S^sdg(7;UV?4(cVobUc1bq(&~6!T^HTbx()n zchyASpPjy`9BcIW`efzldhL`%nxY_tZ9f%=f|UhvJ$lBg1Dsp$h4(eIQoZTmJn@OAdz*75>ND#go>IYaPbC0*A?X_$ZCUU_I5eE6`^lQ z2*L+^j7=-5_)-<}smQ3@WIDJbVzO|9TExa9=&53XlYvv6C zZs9w52^M;Hh8l!j8G1cWX(q;%>Z4+a~ShE0Xm|Z_nb3FmJt9$uD4RCOah-Zv8y86_)CCql_ZmOQ`#ttg#;OCNO&hG) znuH@8~Cdf*Fkjtr!2m)|QI^M)mbAVl_m$r6bWV&Gg2Nom^ zc5fQI{qYEOy~~b>?d5s6_fHDiQ<4)&H-xvZKl=G3MX*2Mi4Qt_!3Zp&iZfGZs?)IS zSo8H0f{2Au?Eqg2_^jVc3*EV^ zJgyVmTRchlt@atdb(yc09Fpkz z#HH8B5Mx>V-iidvc_5OvNI=`e5PT~&z9kKQOC4(whN0h~>pAeO>Q#CMp1IAQ*_t(6 zJrbTt_SL>_%9?|i{;<@j#gPoK9xVXuF3yp+q6U-B(lbHBU^l0R5B~E=RiJJFp%kP| zdY6&R($kkj%%afnhjyoR5!{}d^sC+F@)H#FR^aU~*7Ucgg$YhV3%06TsKHcq?ioI3 zQqb#lKaM0br*UKh>?Kl6N zTg%S~W*vofozK4IU9Tb$_(i01VDM_!PF*t*wD)q*CX6r6>%hVlSVERFr@f>k3|t?k z_0%96k2RF`u2|VHG}mhn1b%*$`{SH-qhJq=Std4WDmRb3I4BRyPTQEks)`R#>Ew#hx zau58ddlf{dN*#AvXouTF14&>#c&j24qewKgkwyqfPJpQ-yQgMZ8|zo>HJl7BK6J$l zzn&*11FeI0N00ePj5JqUoE9w@8F+n5{5BIQq)q)w`m769p43zf7=H85J>ZVo0NTfK zkIaPp!jPrx>MWp zR5?$*nn&Yv_3DBW)B{xwlr*PF!j23M(cmKzvqt1NUyA{YX8n@}jS$6hf3cBd8d1*p zPffF=#FavZXplG+sGBnxsGlYc@K@8)?#dg4=d%;u=l7mK?sH%$4`?t$qh>$w9 zQY+9W2WhScN9rj_a<6GOBCJ?Oi8C(2?iQ>9=qP#^zNn#-XhC#hkRGX5NE&=GaGdew z7V#%L>1OqtpK!-1&+VB{icObm7$c=x&ZI2z9>$cM*HoT)?i>CcQuGUsI*d4ZK5yAU zz{$9z0QqPyBFKZlz{?DEE+QE1c{6i&>tKHn)i)hqqVoKm6f?|g-eBINc$`1{`$AA_*x(T{n&VkwX#m>4w!+88MD7Bkj{7tfnIvVuu2mfSm* zwJhmDf6qS;RE`P{x3HKGe+Q#m|C+-=VmM-Evs@ki8|CiwgAazO)+bXVK{czj*e=Qg zbcF_QSQ0)=CDjxk_h56Y&^hbJEnTa*{L$UY8;tg2MPWq%!XTt7Lh+Vg57#5=ZN&Sc z2jpRCdLl1??rm)dFWg2@BtBRY6~caeBvch75ySEbza!Uz%yw8~wI{9Vgf7LT@w)xt zmu1fQ6*HL$;QQy}sKBgRC=?dM7sE`|6%bZ4>hNJbaw1{-tU!fMdkWY!2oS4+gXIV} zSiJm0E^zEYU~k}RWijGINNUV1+Dk7oS?nIC$(u`Bq@aK^gSOE!n`IoV3{Yk3BlRGx z@j3!aO(cPGC)X6XOldqn@J)rNyK>7h!}0!93+6BWb|xh&_Asj)fyOSL=nOWlI+LD+ zpM2&>4F9}hjo=_q5oKrPm+wA-XtM2}_h)1@$C&|jJ4H{u*tR)^Anh(B8S@j5&yd0V z#8+MurYBzC(WYjQG`DSLBQ|KG>gSPi3f~oy(18)0H8bK`X5;NG9T{7fhcDg5h{dGe zLOFy5qgwiXg*BcN9zxNGk-}n}=nEg#BS?w*8uJNRgJyVqMD^G+7X2d@e z2Y>$BN`mckeFhvN*Y)f=uJ zba|k8)zw$32IfKKh|!RcLH63}ot(G7oA6%Oj60SKlSNQhYsQcTseV9TK5d0Lp6WkS z%*NtqEbk;VMX^N60S*Hgtj+4eUxPb?N@XQHSJUHRTPP+%>W z*X{d!Ps3?BnJOnRfMS3=)%wJIGbH=sxYVJaLucOnc|1X#sA7%mZ<9rD&=2=(1e4kZ zuQweAnRZTx3=>_PsDRE!!Zp743|lu-l~w>}zi96YSZw?D7=U6Wk0vF+hlxF$%7DNI zu7G`6nZ~r}{*(|J_5EakC-47~K3CqKEEbgINNF138623M>8;q>2{r@r9V(%zQR3|F zJ2^FueX#ZO$uIP72c@O-BH%->40sj6r;bA4WZp?5r?s%JpaT7#+>=G+lejh%YY?&Ng#;WtxTjU4XzWIc#WwE!5?SgqjgEUL!k5ie&AkU!vjwwL>(Oqut3qx6$@w0zy z+|2K3I3PbGT))?GgULI+(lHC*$PJJb-{qaN%i@!rU*n<*ViL~CL!-+xrwkvSdCE1% zkdafop4^mnW;~o!MmD$#*SAH&n;JPzShQ8K~UK@=P61)IC6QMlGl=#ylTt>AJW*G6+r`Z3BV=r+&pKHgLLs=hXI;nB4UAFe&F}ylUiT*C48GXoF8~ zE$vA{JM^3xIpZ*|)=uD=Hp`K;p%1p!!U%QL)s{i$EG0Za_l~e_FFvb9_EknmyyZAx zZ?@IHHC|56+{{m+pVytN z;4OxuwR0F&vhoggcG<_#8=t*GrDk9fQ;&L7_^fx0Sw-r6HCRHm!W+jWGn009<<%=L zNPYvgyD#TlEf>Kleuw+rLLYrizc=xzjZSIKTnNqv7jv)?;n@g|xBAYuM+%$4yJs+n zAGJ2^Yh=7#gX`DYy?$PSW*F=l;tN!K<9|VX-(b zZjuJCut)7-UrrEoYYvea!e=uYz}kOjxkvhB6*KeAVKEdEdP*8`|N5Dw z8jb)?9{7gmhjnW;oH<;hK=eljLEc?6VN+o-jp>^=x9@ZF_m&7JmvfXjF7T*%I_O1r zhA?rB5-{#h$bs48Ha0f8%kK700+p72uQ$6&s}W7AMGg0v6&jaw?yI;{VyN|W*1-bM z;5r*02S;nkK~EvjlCqK0mqf?)6MrqWCoLUS5 z6|~3kGq+^hUTSRTxr;xKc=(!pw-MA8-0~W>yh~AlM=(@F-5$G=KT{g`hK6PY#E;PE z2KS)hIS=m#1-h3r@1LouYMKC8Y7@VHH`Zfo7S8Yo&!*Dq$(cAS5&0zCAkR4l> z_e>AY2j;`NC!@KEgaiEvOQThSgI%MnA%^UEs< z%7w>keP+UFJ`BoFzdDnkY<-xO+qN28!M#mT6cZ1xeZBe$ODpmAN-Auu81LUtgxj-J z;#K@>NHGaXrVrlNQ0$EMeK?Xh$<=FQk;lN_oloD9DTa%){~q0#3b=d+Lni*UWAITq zjLOodN0O;=e}NA?xbg?fu~%089D-%Cl!&Uv;*N2niURfw35KVuJVTySyJntUO);Ju zN0?&ujYoa*e9WHKjHqF2^*ep*XIrKUKjMguuTYaiQHx>5uZqaR{1}YE&`M=fILUq5 z)5sts9psR-Hl!sR+fPy-^1XKCSeaGj7FPbLavZ3J-g^hIoAG?_&SJs9j8YBMi|f;N z=JR~WNTyfSm=4Z9_;$i)&{&T6HJ!!h7t+E~(h_lHz}2EnZ}MahUyEa>^=vR%UPnRD z&jwATt`DlfrRGj_j*8a=bbO_NgzqGf4}6!N(aL=B8JrOh7tTz&JH7c%fyAp}=C|I) zMNhI1t#Zo0^`)cWCWl;>ku_Gory7V-b(-NxL%<4P)K=SwjQh|l%wZYUn9A}_Ee+$c z5){4EdW)IQG;Ixb|G*ZpZzJ$C8X213bvrNr3{9M1AV&DOjT;QsiVJ5ZiguAA@Zo3w zoMKn9pi2SXA72v1ALtg#wJq*U*sIR&G&f55-#rFDhoVE=Q8)bDOAHhI#zM!8AlI z1x#-MngkX*FEU~bvKSD%r`K_$nLNM!`&W6-SY z-hCOENC2r@IjCvFkrf6(QQm%83OY&YdoZ1cvxs-^lIJD9)lTMmeS+;rYbC?99=J&q zPw>)Epuw^}E(MVckyeFOZkZ^C#V=ur%7JXrD4c}FQTQSl$yz&l4lYSG-iOL*ba6R} zH1TFim}dz$SPt1wg_7y=ye~n6>#{ zm{?E0w!_}Fh&5W!+nH7`)LpjzZK`@&=J}vl>foCU1DD#*>?MtF7oPU*VhQq#%Fe!L zNBe{eZ|}+JTG<^et{uB56Yzz8s>{>*c67O|?+lbsIzA26QrX72uB%5{7%E3QJrkeg|^&n&8*Pt0AfE^XAjfN^J?B3FHX@Tv#k;b6m|WY?pK!GbP~oEaOZG zSU!tgzgW^2f3NjU4#pILf!tJi|J}E@dWESm-QT@9$t2CjyE( ztODUd>NxYS59rc?w)0L%2@SMeu&k>*GQ^OL1*bFtu^mVJ*wFcN&lCxiT0CX@EU5BG z;sahkBFm*V7%)42i1)XcungY)?eUFIpZiYB)OiZ`rqA*U{e9@^K_5GgC-$AWohoC}?nK4tqBm zAJ22=2kj$c*U912d7%9K2z`9^bc#$Qy0P()?>>6DeLsC<+&cBfw;aZQ9)&yd;8-c1 zEXGlYXq~q_^PE*#j%b!ObbI8o$LZrO=7(Z&#Kt~#_sECq?h%4&QtASZZc8WoIzoza zbped-q`ur-fIQcm`{$Nv1vwId!Z^PA3mh9PugG5S-+y4}eSFTt&Fi<7)OJ*ios7Q% z5@(K8tzA{vxZkrv@L7H-RoH72ZI~*)bMsb(%^qKc1^>==_JsKNyEyJv+uMsc8u&qVGD$621NxKsyLn2TzE74~xHc$kbr{YWwu zPLKInGx+OS2~0pI!RZ;Io5h*jr;X*HtstP7Njls2@Ri9Qq)6e6uPu3SovxA!IPWfD zq|~}tpVy36r^%jPvkp|7iJJ7Zl~{C6M({M6xwWu)CQFjMWN%K*SSdViKZ)7rC*;BT z!|`+=#q2KOSdn5QgW5aJrv2L_aWu7hK?NAdEiX&%V_?g02rTstaAVAC&jp?;tXO>7 ztO=^)_3%j8@TlKE8Xevr>33-2=m137j0qP+2Lj4lG_T%a9H&>Tlg|IrhITMa@#NHT zYBTypugz1|{$__MEq~X@@xpy43m!JZQzyMP~tiO|vU+%(S zg_s|LrJoujqa}R4lu{HNNDQ#9t>)DJ^PPYO3xkP%KVjYBq$T~sXD#Yre~1Ol{)~Ac zf!|`NS{mD#z9OzT;{c|FTC>9Se&XN{|51%*vXFnfZYtz#% z6JH0ME9_S6+lqjDy~qj>DHDfw!nM}*9af&oxVnMYYIk`DenYK)fhbft-jknoF=DLx zNqSX}%$^tIuLIwuf$Ex+i5QeZe!?dw<>|nzVa6A>ellE`hil-$;&wKFGP&8%{b}Rt zD$l^tbPmpm{2bU?#`DoaVc_4g-<__lw-|n23i&}mSiai;9?WR&#^OxMH5S(e*?Eg! zphaalt(TRTmxuyXW927e`z;5u0Ppn{({smq0Q>vPTOqb@B6duvO9ZSVJmMDs^f<$c`ITjEsfSmtIFYM zeTfS-mA>tK@_8o{;dBnq$v9@c?-@yY!Tw~(H-qKha#HVTa-CqbUR*^bVZLjqT<=5& zZ#fgmaV3=Jjv0E3Gbf8~kJziNpEGehOTo3JzJLrT96u~(jO1in@br0NvKX;cRKo^{ zZo=50+w)C1(n(vx7@Pq+W(05ymJ>#f?R$`O<{DTs%=pW)_z~x_IV9@#8G*M0(q6x5 z3Pa;Zg*Hm2?dB0+eBidhciBnoqG63>mDIWhAYrlP43_IGY>fX~5j& zctM=xM*ZNdToa&S4NAbp@`@!#2>|wvNRZ0n$tXYu9x=f>jO^?-8FL_F#T(cwG+y~f37G{CN5QO@p+ zm>1hWk7U7SaRwv&)Xyh?ge=0CaetXvGP8(&4}UWAE)23|jBkOE*!7w=pm7b%4aa)r za-_7Y$rjyfG~nSMJa(m)M~vX9i$o*UPp{{>?-A07rsW;N+Kv$t<9# zh2;cLQ2LQI^Mk4~H~n&ZEQTwJr~ziG_vK5sfBYEwJ+O?2w~z4b(xW|qy&9iZH~_x# zrd@P>3qusQ*)}3hjyAUe1K<3V%t3IL?KSNE2*0y0kC<0IEkcN?kPjfS#-&lTp!nMw zxgGKNTd#UTwz2Jt0rRk!K`S`9kDhRKCfQ+Lca^JdZ_m#TPv(U7?eM)P!wR(@!f@8N zBoIM6ZMov}N3uk*xe>BYLZ8W6J{&JokbBEu??y697Cvo0DNfkjtQmpJ>u07@h8j3v z5&YD3rYpZ#O_ZG6OG3?M)T^3XUv?&3NdjygWh@Y5W|- z-L!Ah0nWw&JSt|?L1%F%Z-yE>nQw-dpXZK-XEO3g1Io^wcBdI*F7k10c_YyYWvCoP zlra1<|MvJ8X~t+VZ5Y z;n`rO=JweL2f~wWI#7Eh^4UudLjus?PG);0Q@(9ov#-edVp9f38cx(}(E!l% z#g&f>(8C3dB+<29ANt(|?7yS9nBynb@hvB@xhBF0q}RBK-GZDyuh*W=TE(AnAwP>#lGWfnT>k@I44Wid{YB>f%8;1r-( zmBWlfOZAv>nDLqdNYKu5wjSA6w2RF1VWCuxoDP~baCc--#8^Po+D2bkPO=dS+AI8; zD}qMZ@hx~5Wj`zXSS4t#dCUP0YhSWzl?WYP`Z*DXoZy6M>1X!kJ#j~@8Ot@1Q&gh> z)Uqw1vzTy3PAQ~gx*|5l1>B+r%6RY3Q8NJC3h<`N0V1b@dnIS$+DC4tK>D$F;h)pE zek@5-jis`_boa5K(zD?tTHo{qNG#a8R1WSrsep(MzkIH5c_f0Dox$pSzO{}F#1S^i z-!sj$NN2BLW?0-X4e`_xW6}19e;`djDstF^R+jW1&XE8_F02%a^(_$cz?zm(L095s}7!RPD40fTK24j0z z;2O)#6gq?<4H(D+f{*^fpdA}rVR;A56Pv5a_lKvS46-~b<{rS8M>ul740_=GJ=ZDk zj5NXwl~*VqoW$pY&hS&f;(R{2dUn`|DJavX%NURG8DR<0m^A-sMWS=_sXqb2Z+WFd zsiK_3cAKS{qKtPZcJR^9C;97H?)5ffyybA}PChHaEW||2C&4RF1m+X`4vf)wi(Xx0 z@#dLKqYumLxfv_xvwlu36LFN0HyOqK9rskud_Oq!%o2PwJRMFLt{g@QsXEJ-Qkhqm zv@&p51YYvO0vjVKllcRol$v@F`JbY z35Ugunn=d;fyHOd?objLgz?1>8@&6K_umP9g5z}L zQEtK(GwqdPc_#FGvG{FmDhHb{XD5(UqkLDdcE^@XkcwKBn(PXYRNk1_)s^~*y1G+f zEjEwoTD}Q}=tgx`E058Q-&c6Wqt`~^)At8+LGe5n1;#|AV;E`q?2`;YdKRGDA2M(v zv@zmU@jJ5I1O@A1IdjFKGwqY5>?)!KgV12HoR7msH(MS?DE=n6HqSSgVHNV+-uyX% zRwVJCu8+ZRdB!D)dwrZIH3B%z^A zYcj-6(pbfovYJoN)D4`1?Mq8v`7U6)6@Y@X1`&2PJ~aKl!)m05hXtRgSA0=Tc=}<@QNP=900#!rPHaCPO18(=1!8 zuyZ>-+%6l;H#NsT@@-9u9r#d!Y9<2w>!}TYT1S)=Eb!zR-?L3iK z=6?4tuZ-3+Q$2sm&xC#N_xE(K7dHRp0AOjPcB1n9d6k5#Xe1F(7>H2}bPp!9N3GSQ z@>5@GriJ61zDnu-T%QxB$BX-7BA{^YYurC_3w8ZdV%3`#n|$Z`>K~l8vv)96+9by3 zcP~#VL$qA(Pb&A`f0P1p0s6!6aXoWM9d_{=W6e0)lTevd4we*8!^Js-6BtmcYlrG#uU`YKAu@eD_7lLELwCR`WeA)?> zShFnYvGnR^q%V)HeNaknA&ft?1q#0-z|il`9SISI0dCjtKdB%m4X1{5;d#i}ZN-8+ zAaizG6jqkM1SW;$9f<%q7KkeJs^GjpRAJ=j<@H}$R0>Ci6|SqlHPZ1AGxwGw1`?Lm zx44~GKzr7J0l~CUY%ck>mb#mKTRhjk<$0q@CSngIF(#)ukf3FMK^YTJ&cvKa^=}>j&BuhmE&wj z0R|#s2cJ^-0{v;-iDREsFWe}`1(;`7lTnyftO-KlVCP|LE37U06l-Oqk6O=jEG5AB z(jZb9hmpK|;tn?QdlN;JrXarR`iYndU443@UiI_3BI+j@IrUX>HDWl|wO|p&S-u$H z2@|=NAj6U-OyuFh9xTtWByHV)!XCkqm_bzCxq@L4KcC%p!oqEuYMu>Y(vF-+yuAjF zgv_cFVW7UBr5;m+D+&ah?K)?`;O)2vY9lasM$_FpLR;&TdO5Z^yRs zIhiM-M8iCxa+()3mVhtY_sEwUEf)mZTVMWFyxS^wCZP#yq}2l+bC7b%b84_S1I5@_ zTz5{ziR4nj!i8rux74-Y19%wPJd5j&f}gOI^e?n+9;O_+lowzJ=Uv3KvFI+WutA~o zkbl158crKnTFSnJ#VLs=;_Wpz2HsvvTFH2IW(T0;J72CK?qV?9dbMTp;Hj(M8S(TdZTXw!goSD7d!|>= z<%uOyYopw@{kI%xDrD&)ZqbKjzRYwi0|6})xWp^1=mgJPvCpaN`b=}JVi*l3HR`i6 z(ulXO)Ll3-JAdU+?98Ff^#$x-zos;>fAtbg!2apTNshb;@;8GlskZ^!*Dh%Q_P6qU zI_`RsGN7{*tVS5g1-M=WnX2qSI#PkICnQtF_OXD!3;vnSa-_Of+vSHUY&}U8%*}TZ zf7eoOuIKX2@%I)+guw$-zKE*)xtKusSUTFQcTEnw?> z@K~AjLcga~=4#`q+=5Y8(Lc(~wx94z<5J{*=KdlF>x0{$)X{HeSH1ddk$!c8hS zpIwq86FcZCnPR)^;$YV!Hh94#d7YpaGPgw}F3U;c1T)`)P0~A}%l+Q|R|$5Ct)73m zw$)e|CN_&L6u82!LBV`hE>EE09F@qKSyGPjHCqhvP%)<|Cn92QKS=aqqBZaI>}L;Z zZH+>t+omsiAp*AsB3i$Xm@R58&2;)+{UcFOd1u0Kwl~^^4q1q)Jzpr$LQJi!p|oMI zl0fvK;>zG>c4lU{!{Rt)dNoGNyycY{sr7hf;kKim<@iXvd?iwsb8#iNo8E;cM*}MP zO?Mt!Dq9D5B@$q>!JSA!eW@MZHAx)MT#PU6y z;W*{(PcB@C`;24vS%=N1)+SZZ)5P8!OtE zMoTw@a^6`=Gv-n2|36pnu4_xIY=`~I!A+d#Tr}ULQiXCLz+Z6T$be)4mY_t?zk7~H z6}hy7g_V2cPzVdIZFZk7FX!^W(m7Jbb)fZq1=R(^Sh~Hn;0-pcKk~%1_2!Uw&9fwiR zXABy6`}KMg=lZp%uzJEx79?h}>4xwm6*i!c$haag1N9jGwZIi`bULRH&;Su9f$pUD z-|%$yC*1#$$ctjq9CE!}7ou5o`N;KzFPun2y+5)OluPTj78BTwyFe2Fzy?b-1OULi z=~Z%sX3*>NlQTaq$KuM^ANJNfN#D)KrH-IWW@Quul}UQ zjtq(C7Q7Q=&5Z>hmFL8Q#OmXjZosVApT))yTYoW|3&Exj;9x1(wBH#4I{w(#c*DvA zIC}d3|$YFN57kIr>O^MfJ`HE|CMmL#jvT~~*z z)|I73rq*B<8g8P?(?>8=-L-4+i=Cix-|7ue6Sb$lo1d01-(o9UTOwIPllrtH<5D>|fp`ieJ0Cym8$h{$fbt5<#>_Br5?rwmQ(K;Gm!_*He0m|Q zwuNI)1>>J*J@2z-(rNPd9WlWKPFTOZ zaPZ=w2iLI$ajy>p!h$W#1CvVRjf35KTW+K_1hTQ`ym^u~B4NW)-zf(x*4EGIV;%ZA zouK+T)CR1{8>Y1gInvKLl+e13SXk2?xb_n|98Dk_*0y7u|E3&J+{ydPZxtRFQL!2R z+WT9OP7t_Y_LroI{ZkD)03p~VHVks>+A1~zV8@N2+;0FZ8<<3j+@v-FULyr(qkIyd z%NJ-Rm0&*q&g{w_Xlb@#bXC|&mGu%9 zK=#aUFE^}tNXBOF0B_cgl=BzdvcFK+xg%{@A8(M-{^E4Pz~Z0Im65${*=X;nZX-p* zL#MQ1ehf?!D<1&|=hXqLai21!V$Bt6BaZhWw%V{xhN?bUJ;Lr|1EU;J8ZMX{866^| zfsdatN@y9{uwP33B;(SC0n>f=@qyUfwYzln{7Pm+b=FGK0)5F9>{M0v#~QWOK7{65 z_hI+#41Uw7-4~=KdHm_^ok*e^FspXHvNHUX7En>Ja{Q#woKwyp(AW=TwF zA!i;;9tKD7=iXlb;C?J1NAk!ZcwN7P7Ki)QW?uO4-Lk#oy9SzFb9d&NQpex6kKlmO zGQiaC{&M>LBNa)!sEtM*wksGL1HgK&~Y(hZwQjk(Ci0jB1;#|I+yT14gZi7VVc z)NVH7RO?lZH_(*(hI((HDZ|D?alE|s8?<5CL-o<11>4m zSj|6SVeWiA99$!gj@73Rpz8AdFp_O#dYD%c-#|+SO^oDgRpmejeDZG2-?iX z9;(%0LD*R0f*D9V92+*XIoM{a>%ECAHK*OMe6|)gs-U0X_3aNXX}8?))O-Yk#k#5A zb1LZtVh_`Pi6CLmEZ0BM=&kmT1kb5IM)DeSY9j1+8>_qoQ}qjMqg!hsBB( z%MB2yvtDvlZ$Xjd=5Uv~!Au)j8jQo_LIo6PH^P--o)frfw4KL-uHVxsRoVMF6S=Yg zPuN`aQyO z(+18nx?gghiH~o%h`vcVJrMX9L`P1u;IV?5y1bUQUhfCywhcN)Zyg^m2nUxMkQumo zi1I(xDH%(P;F=tb{U&?m`-bVAKEDn4W5nR<>J!+HL9MOdZHav78-U1m$!9hYi{TMc zkB&fKkZfWTwYcwe1WM5sUXDM6Z%52B#qbPsUjRtaIvCYPfE2AAA3hBh)=1~b3lgQM z)~pst<_%r7s%A@8D!Hu5Q#tH0b#@$5OktzuBHHllv*^I0qa zkAmryFGl~&TWzE`plJ1^8l`%Vz?|Tyr?dTLAy7(%OD$Z z^Zi^|;7aMwI*-80V3FhlkeIh$F0j2a-f!yXU{dGf8Atg&S`0!dJ=6Gt^rcXw2D(PN zI=B!ab#ItUBu7T~BXP#%Y8<*-9z);$#*uBN^1U1l8;+FHE&%se5QNU$CYYOGU614j zE8;A#ob;i3z*=Fs)&0Tf$SohKe(##Un0M@A&i2aC94`6kb|JiN!|mdW*-<(1IF1)K zxCl(-?@T}0t!sz@7@`j;QC79yx2EPEF6At%83-_G-7H6^@hY1%1cvqp{&wOw~=X~-tCx< zmEeb@91tchLOUTW+?#ij94wv^cA`==r1t~<%4?P-cu(|YnlaJ_}wrCqqq-r*vruWj!@deJ($nPkD8%DeOYS0wI)N$^F+Ng^Fq zJ|n#akAqC2@K`2xCTZ94hkg%RUnzQSF8_KW-2h(7S;e3KO( z9@n;R?hA_B!&@g&gb7=@;N3fHX*_xDyQ$Gs2^UBN@v!nR$}TnayrwkxL##OR-jmUQ z`hX|%$?EGPftWp8eD(=^ls?!AMa6x3GKz-t9-!Pv5i%&3K;5#slNrPsr4b_&*7^;0 z(0M`Vn;72m%9pnNP|kcyT$6y=truvv;b{p|7V9rTVxf*Zq!7FTtoz&qxV#?;O)kc9 z!*~jEL*#UhLZYF5l;-7*kJ$_mg;zeKL@NUmXbE;&{K0mye+5liGpE z@Ro5bn+V@aMzY~lIrHg9m{jZ2Q<)EtOcEPz7B4#bt~265sjS1xqS?fof2+WS-EGjC zJ|WB-J{Kd|bajxj3@%vku-p){4c=1E4pz33MMa&CD2ZTPX6-B8TSYgdcde~0Re?f240XsoBF4?r2Kn}j<6MfEywZQ94H7&6amA%v=lwD0} znGmAs?h~`I@OS0{Glq|i?H)!{2+r60pEpgkQ)N?emX<2iB?s&9Vde0!Iyle;$-LcJ z`}L<(cFl+kM4hiT0@qC3@*%qW!ux-6z;{0V9M*IyFNa|7m7Cvz!=*iMI@7Aahs^-^ z%_(^$Dnujda^6$Scs+eMASFKYRkI+X z2Pbbw+64`{!N&tIuCvr;>-MX-9e7G?qpJEjc1La)=S#g{@iU*yKezbo69%=#jy-|O z)bgF#m0Xd_3YBEA zHM##--jTX|va*}^Mq>NZQ#%Qqw|+Jlg1F+tR7M^Y9G~U9Sx*m8(wBne0Q9`?H$3aH z*qxI0OgyM2nZH(3K$_ck?obDU`3YY*z$`x~7_Xa?CWo zH{t;eWMgF`cI2V^NBD5`9Y(P7&;fUdaqf33VHPL@L0SDwgoounRHlbCvOZ6+d2>FH zkCUKh?e~=_CbZnDx)r2m81hE|CjCzOME}7Gs{k}77eev$y!tN}5g^0& zjzoFdF~MVEn->?`nl?1eL-_5=HKiZqU_Td)c;IL=EC!diKhZY_-Cb;^Tm zQ(kTk#Z<^R=izpnPp`CCTl=TVgU5hgx&yac|DH_=$*S}&Ts`4sGcubaqD454v?}CG zug?~jxvMmGTT6y#N=XVl^=o>t^yv1Q_6}Hk>vyB;PfJcXeIsO4zX4aL^@|H(M&h~U`E`xd#_+6~K@>ND0Q@G^79T)CJHh!!i4B{tF5?+0@aUKNdfiEs{ z!&59lx~pFkgf{i_U5!}TZ`PcPHa$#_?$uEDXOd)YkaW#O3TSrJZwvDl#d!u-T^Uwu z_{86y)jyADT@h-3L+how^QS;Arok9lb%COE_DW~s< zQ?TE(3!H=GIlc(i17;H|cAWnp59yIM4KD~^T8Vf(*3gsf^OHOR{M;!b3dcd|Y|)4a zU#;^X1hHz#X$nG+Sb-$Rv@Nq?fesltE-vjLd0BnF zHkgfVOOv>hxtz6QA&wo6^}&wqU5CB1^Gwdx?a&pNxajmCnIa|GAsMm5(%G8K{YQ-n z1RjypRF~%#^s(no@|xmdOm24P!3cBM$6*crj`FDJ;O_`~=%IWgC#nk4&&T_JYL49j z90y1e?s>tU905_B+^ylNI~Ol=K+nq$_M}4JYi_t}HBF2Kl2}B)QYTMAy0qh}J#X(9pjgX~=bG(V~s04V>u^%(B`rv}G zR=Q_6C|A1j=@U7K3Ja<;$~yuJn92IU0ohDgFmyrYC*(HHz%KPAuZM9nzB~K!q?Vw8 zaWW07ezpmmoicWNs9tJr{kyJNbc(sGY9!@i9q6^6Hdc+4b_Jk?)>|p{MRsx zWb6(#vwX8g=z+oTa8w;8-Q^59J3?!vLcx#d5NAKX*C+bx>*~X&KqakCj*e zVm1x}wAN#W+8Hh1n(hxWRbT#F<*Ws94TX;~5;))j5(nLQxC0;MYs7$8(jujqBdJqf z0h7>JIjMsc-d!SAj}!AG1rl$D9Z5PAbIBdXeqC4Zfrqj_Y6v`#rg5M&tZZ`BB6Q2% zOxE=~J0BbB`7l840(Ho?T*w`V&3V!v@KsxA`RX{b2;DHo0|#Z~E~nUoH9@c1A~P-* zEU*Z9edN`M!S*g*DVN|Bq*k8pOzqdyKq20+SEx#U7~!>2}YTwM@5?5EvcnToK-)WoZ0eeDCp47D=dXvsNrC| zSd9aR;-!r|bPsAca2-2|Qq`^jf1p-P#%>(27e%lozX6Uq#_H+%^Aa4KlgUWPL2%&j zb0qoJkU4=wP(NMEQ`PfuwBPPH1Yxa4*!ON>xy`6Rc?-K!f~c-6E{ z^z`P(?}`52?3SCTZ2J+t>a9PGh@QvBtrd_6ca4eeJC3J)(V${7GrzZ9bA)kdf4(BT zeYHsL#%jciGB{f6mlg(6_xh}@dwhh%P?X#sBpc+!TvXM$%A2PJ1wl$Nj;~k(8&%;O ze#)U?K(qGEec<4KLx{A zD4h`&-=%^U1=Y9o2(Q&+iyr&CK#MCZgZhk`M8l+|m;*xvHGuLS9N_BJdaUJ`NdLns zie6ru;qMvxCNK#);znZA5Fb-bXrg)kO+$?X*a-hDQLqX&HOfusWF^a;4n{tIu%l3}(MLb*s)1cy2A$V<__Y_Y8^Q)LXv1bFlte?T#9D^L4jzWR_2Vi}~p_HBDhx z9B;?ZAnx2AGBdtiX})7*gue?;s8dt7tjsl}H51&v^AdQVAXL=lahQRKwEzDK_80S5 zb#CFfe$9}kGPXaL?hmN=^tZ*9#*bf?FF#W8iW+c~2eQh<_xqsVO_@1W&@K`NVrJ-^ zzF`KeVl5TWVTLhoneJLl0zML%?bJ(JF`3EEfZnEpmWSS>f{0&S$5qJpiLa$+V467Y zT>S*LUvI4Xz@Ynm!Uj=L)vi)}L2|{YZ@|4}JD49^GnB1x`XX)Jcpus>y}CN5?EseQ znJpJ8$%;Kh8}#aSZT?`Txv zLr%DJW6w~KlvJM!w$*EO?kbQVlImwmPS~jB8Gc?L+!&Z5jjs5T z%nYHmW9Ry`G}aJ(5*fmE3sCRt*=BdFPd=)_wrn@#ae)HwvAd{>7N;gJaWMa?O3lli z#JfhZ&^?^5X)@1W17I-tXO9%=6abGT29 zI(d@sX+GZ#cERxN>Xx1yNm~9$`s8&*uhs(=Hnwj$FPijMFe1;i+Bw2;t}ncrITSSE$yKQ6;L>DjBp0$pHgc+gC`))5vGk2ujieUUX0M_NmWS zF81vBhMnWyH`r~U=~h4ot=_3_=;b8sE=b-z+6D_qpsiah^~Y7*x_Y#yhrkyE)!aII zvxxJdE957SJId9p5oCf>H;nWHx^G4>OOK@hT3hc%+d5(PtV@eMuEj5Iq$6rluhr8ZQdQ@O@S&x}rY38^87_zjqOJEBiB9P1f8=hpBS?45>LdMk z)Qk(p);0n(cC_4eSmPZY1k;FrlD7TibZdJ-tMp^*t4GOj1m@OGgnW}e*-TdwVY}UT zoHY8VSsCJR)T+ocE0bgaP`msYHkaVSeX$d!?$Nyir|t!WL`;e*)Vc~LruL_Uj}q;{ z0&-N4Ryy5rLS;Fs@~k&WIrg9kv2n8+iOKBMA1cXsjU#zQh);DvAT6~LG)z;gEUL3a zwlf_mN+UV<_trrkL*r_;N=_y*p<-A-zT|aG!ydUZ6PN_iBV&ggv}02%lG&B8hp@+6 z3ruL&U<34f-+&_&be|af#5Pq!t^R#`ChC}2+J$EM3MFL?OIsm+J3uA6VtlqZei9L= z(eA1T&Lxe#qKSy4oZ-Dt=Z!QoOPn^6%E(!O^Y%Kb>tQxASD_1H95rbL%*?r;fd#)z z@-RUh;j_|G4LG;nYWnld<0)0$>XlF@X*(@+&gzl3!dLG$tPxsQb3p|0dG#Ru(nW+r z9s0POW8G6btqNlYa6zyROB)2pyO(S3DJ_yRtmX@L;Cwv^)7(h&pDyA2y%-- zbY|EswcK>7#&!c7m1KHQZH44Y8aHYkB|2WD=8L?Tn zkj7FUb_96!Vg5-kKYGz5GmHNJ9RMS*8s!;ACe45zNt3s)4=Ci)+R>A_*V_=>SluQ$ z)wpf=|E4b3>G&GHAc?O%NHTg`KJWspc~Gut;?a$z6BYXk&LNC~`de>`3YrtSSRsMy zr<@yGfs%+8(giJCBHnQ?bbD&u`$X@4r!Hh&OySTvC{!bGG?i@24`1eTp=v@g&^1x&r6(lyWx?tPOrD=@BjzNf| zIy1H7l(G%~&#O5Di+*wbIIz{o%jfsn0e)9Uo$xpK0iak{KS=!`irP!su* z$gFrlh&Y1&M%;Nu9LT%c|5Cf*S6Mfl4FyBPLAIQk$8*1Ak08PA z`_Dh^T~s%XOgA?57QdBmy_0p4uKc^2)?c?1?;KMVQR#=iPR*w{?0$zeao|m0IzA< zhbr08L{ro4_4>Xh2NeQNpPpQ&IiWP(dm%7+1cW9YY1-RnV!R5+|q`$D>CD)%vqS zR{#g)U!87ekAzKv3{_(G%H0+!Lubpis8qzxYV30btUN(oN(L14jI)_4NP6L=f{c)r z{#;v+kp7~F_Bh1KqE%aFfo#5E#lf(-${qB5T~{C#x!3Wn0vV_9W=#e5+5!-#mj6~g z`60+yiGpQwhP$U_#_=OLc-aF|RdJ5eW6JU+PhJoegt@3nlnbyZsT~S#*r-~*B5#MF zOcimk-VZ)sVM8Q&?jcW;w{LaEZ&6(3EQ2=dIV1&wtcZM-zBl|0cV^Pl6HQzj z+H}P!O2gu_e8Oa`C!S(^BUgrsU|0LE)q)euXEJkEoT;|C8}!H%hum+dO=c0gL-Qo5 zqwpXV1h#e_G#8Wrkao!}4Dk9~WT*`wMO6uC(yaEol9Mcdx~XI&FIR|P!4Q3VI1qj% zD+j2aTq724X|Um_R)T_GwE!9Hkuy}#(=j$&%Sbm3cj^k9p=|-%mn>NZiyyP&Q|lqW zMPuCUZ-*tx*IAA|ik2J%Vyt?(A@dB4s9PeWDa-Az&GVVfh4LwG?iZkDQcJhi7 z-2>&Rz4t!|*h;cqqsdfhPqV7uZN$-M`c;q|?=j_8pcieMQSXsu$OBtX85z{Lm#-NH z{mIN+-Kr==bU$tSrS3R=8|Ye)(h_YGo6?VM5@)@6Nl6?t6sH$yzB>s$z6e(l)=4dBg8};vQP34Z zRJJuq0MgWPqibEp!TdoIR-Vi4B$GS>1vXqmM6Jtf_A7|}=lgucjXBnU2W+!Fs~b?8 zwz8@U=f=fB%>{uZn;J@^rZZ3L7GRyW9=csEkb*@EChP?U4yh3>sG#JZt3-M>M+c}N z{h0180i^GnHBpe|h5-}9_E$bCxV)5lNWuz)cc`!+7{BC?CZd}#5>?m-mhm=fc#oXO zp4!ZksWn_;#5njhMxrX+y%A)j(^?%jg{QQk5v(58uSVo~laaKJ3^elf(=nja{ghUz zp^-ZSwp%m@i4B!0KnwiEhE5M=p2 z>Dio?18cJU34Tk?e0)E3oFINb`s_fe?guyjE6AiMx@BhODa|rKPi5|s!MMU!A^&sz zTo4I>b*6x|LOZ6GsF^usWI3q7oysd9{T8rOhw!NX2|KlMOI6mE26)LsA+=%Ms#7dg zfx)W4p*q;itw@{mRQJw^cbZZKXN!Px9V_dMbB%B}6*d*`ukOq?p2V?`XJGlFcQdR| zV{c~olN;5WOrrHuPyDox`KN+DBYZ<`>Ivo3J~W|xSW8zG0j(&A;20l3 zfRMF%>h2znG@2nNlts;kreXC?@(K5#FPK5n?|+Yv&z0`TyQvKuW}isB zqNjxFv9viBL)z66e<)KdMI$PuQCOg1N)s>#_;Z}eg z-(zY2fUzlB<$~s2tox3hQQdkG1Xmi+qc_D#$;cz=^rXvwPb~AqI5{5gC*c2G-vEeX zeRu6b032&Y)4LOI?C8m@g7yY-)phkBy*l8=My*MVFpKV=FNV|?Y~z&|Z9NrMG=0)l z^vLAnlil)H5D8R2%K!n6M{NUM*=H*0u&~5=7t#zNWchmCD$+>13VosFgnDw{)&+ko;M$knMVyVojBjl>K|AKJr^z6VXn&(h{wC3LX-vk{(2T zYcG(U2T2zkTw%F*2)OH&yF866gk<+enc9w&~Vicbq8jOTY%&uhOU-*Kd<& z7{_H|u4_ijsmI4md%fC_xG`x{%SLNx!!D>k!GxTVvwq}Co_39gwZebuLA!DZm2w4C z_yZ8A>oP02CwE4Vd$#S7kre8PtrQ`*6+8224cFn16)VDJ@A1GsEr?unLqNy`(5uM4 zP~XvUGVfS%L0auJDb`nx7YZ(t)1LVM&%kIEL4a2dSs0lw7|t`6oIRyzPl&@^%0JzX19RXsP~yxC&{Hy5XnsS zy#TN8uNedUD)thojR`Gn+ZT+)2&>8-Gg!I+8CUFE@g2#RskiExozFFlJSa+R5kqc8 zY-iB82T@{AZHxyGi=)&eo|xbo=X-uHHo78l_8(<(XSizBLbY|G3I|aIGfRJuI-q9p zc|fWklV$txDp`Tk5m{PE&Qji1tr5XeQYRURVEBx0*-56Ou3F*y@aG9Ifmf=%%S!-* zf{35+biyiP$d2#W$vLRbJ;8R_EoUwc_Z7+EJtbWd*kF&c6E9Y^{eguaJVD`=kqaKZ zs-$)IFtLgie|Ku^=Ns1hY#H5ObAocXpyZ z+*5nIilyO=mSx}OIl7@^1MvwjkF*NdZ7%j6@ z5QbM7RvY*_`~@Y3XN043ZoIT<uoXghEp=ZKo z6u@4UtVE(t^^`IIhk>+xnM={{wNrW5d+*dPr@qa;n}=#(e6VB2RB*hD4#_8>!ADh` zIHdT+Pm+2rUodjkt0zvP>$?lKSr9cq5cU!@t^iIzvA;tF^`FnNr6KAi2$WO>!d~ok z7`|l$)ozy@@uQqz4KXkF?6Rv$0&ZnnZj5;`1b6EhCHw=Qswk0Gm6?Z7Ff+cPsUTQO z{QC)Tjrs~PFp=R|SJZGX`;Ho+OnUDs+jG0u&tTSb&(ss!qH7>N*9TRX#O_}8T4@XN zSS~G{p&BJX+pmXmqycU3Nw2X>w0$rS>yqD7OcWU5I8H*J3`vyF_z<=N;O9I?S^Tzpf6iwUmK z0B8+%4PSAdWX(VM#OYB!!CyfOy_~9JL*h^y%B!z98RZVShx0?rc>|g?Qtb>CoXAwk zcEe>F*{`Px0;d~t@cQdJ6WY423f15*m61b1NUdj@B?W3WxJ$=lg>7(!+Ag9`26StC z8-b8hd+v0{Z(uB`h8mCXbvjj#e47n4EDjtlYDWv=>!nw1whGx5*XZhedKX~UFof%l zo{lzm?^SxWD$%ofp1DVAW%akj8U|0f=30*=XmZH6e#r>^W+PGle)kclPWgEooRsPd z{hn%qrWL@g`)%|LYD#~wh^v>exq+ZLEDn09)OqDtZE#VJ$Mn*`;p_!N6SuEn){^Q* zt@$S~w83dP9}ifAkJ23Ax?o>UVO6nniP6GGpX9mvQv-8MAlrRQWL2)NGpVWF+dCrb zi)zT6+J3PU=@tC7Kp5b)Lu2M7bEUc_!?ip;PCBJO*O-}-rwdk`DBV>VzZrJ~5lYia zI=;yCqV*|Up26GGz)T~Q$dQ;a-qSZE@$~i$%kUyCqVRb7=uNQ%sht)HxI63P@^56K zw$FO1pv6+IxROQ>Xaq~R)`${Wz9KRaMXO3+&NR+PiSx#?oU~-#QbsC;)4KAl)*AfqXF4u; zNiG4owcG=Qt^NhlbX^~610MRpIyAUD0~4=jk_2Aetvg1juUco|@3dN|j==fFYMw7h z-cR>L(!xs{x@slFo85qMZ8FjdqKZ9J53dM)}Jo~?&@iXRG>Hco^K z=tKlpreM3RX;>o8+i5)gy-qA{UMB#%eztnJG9zGJU;M-u_k^2YjjTIca>U_o%b6=i z$Fh0TwP`(_nYzGR!%R9=;@oS zuo+YjoE5vn)HIy?3xAMhD5C8il;BwGhQz8nci4;N0&j2}*0=L^m;~Yx$@W3Ek3DEjuDQqA_4uCTo zebQg2XOa=w`omB`;^w6r!*E!IE9%E3f2d9yX_3`)+Vx0`?DM;t)lR^6v}wVX_(vau zEis(^YA6n|4xm@1Js_vT5;f$56)wWB(q|-Dah32ol)ILIRV8x3s97V7i~4}DSLy>x zF#=-WU>fz!uoK1VN-x~n%*nB`pRM;KG*WxqnF;at4J+*ZQRRu)G_7VQ zLY;&PZb;Z_+^E)NlC;cc{e#8xJS+P#6?%9b8c16L609u=tjtenUqhDG$Udh!b~2i4 z9RM$LAaT`~djuDRRP+<+)MFIEhi6lvnh^?t=NpZv>zTpKb&NHYq3?+d*)Jd!+J8xO+B^;(Ou)r>ZV`D zOw%2Alb`AzZ1O%SsbM1=pIR$BEXfXr)HCL160dH#1g6-{oSAEc3(Bt`eFs~un&~^J zE?D7Iv>a)i1<3B;aQ0+$2e1Ap(jA89^}q&x1%Z1b6Z@}V*Qmim1yj%4jQR$aw^OeD zsnhtZSL$75R86&1!P9{yPz9Pa8rE_+epUYJx`j@+SwB!6WW_F}ZH7G_i z1@>qos*B`6z3Q0JVO)Mfq&ker1}!xg1bc(LB)w!tWW_mmq)N5z^XMT=ihQ)svr9pt zRIeh?nIH9u;psFdoA_LVr(~umagcWyl(miw%P_0>1f-TRIf30NDhMih+KW5v$7T%B z*nk1KKK_;t1M>0FPETn)QZzT!nW-`TD%gtKV`=Q=(vkU+ZYNRnac-krr#l#xj;X^` zLqD&@zn5WC$a3F|68t23Kv2kPYyZiCN*P)~L8zqn+?F$Ik2+>Ww%es?25zDkV9?7= zaHcf}EJCIP@<2H&j@2Al^=sPE6wcm302GYkLj{rVYFo~uJ`b?HX5bu^hhCFEQmCX( zvYp5|qJou-iK-%aw8c@=VgA3dP`xVYbuj}-uUICnvUXL_r%|$s3GYZ(I`^|0S00bN z`KZ=$kF>rd7DjCXAi^;sOGt-KcY%hTs#uY)b@|O!OCS*kJ1J)Dgj2&(ADHg09d-_P z=gutks^PaHjjL;QqzE+#h}VPIrJN^d_g7+Tsld9umB9Ec%fVW%CV`>F#HH$)7THCZ z?G17ShH3q8(2ax5eXFFJr(TOqOH|789bUhNuaD@#rLP0Ki8l}`TAg;22eR798|+qU zkc`MnEtE;8O=CY38a9kLUlkQth0%Gd!{FdpL2WXyIQSr`rD-M)ofN4Kc=i)3-eHo6 zsJyL$=zJ{-us2w-ih}TPh|{pc!myrr#6I)rA-hKhc3O2TKehGb`PQ3d0#uz0`)rwi zT!R4if@*?sZ89^$ZZ!^pDxMd-(#gu}VBpm&!Sx#V0H4~Vs0oeZv15Lz;ddO5ZAMnFtR7BVEmb$^ znv}^=k8;%ic4Ds4qaG7M2x0k?G5yXpWBp2w0!%+c+XwiY40Pu3{}mJ~poNR-0DaSZ zVkCYA{WbFbWP6+CLmWu-Tfb{i9b5(!{xrA~43sjjH$Gjgpp@m~sy9$b=cT-yL^ zRHTFU1=E>nb>tb1{A}w^qk&b*HlC%=kd!uZArBBmc>_?x+A;k>=kOQ^YHkAP$wD@e zO~V`temN&d!7)f3GE)6p`q(qn8J%?p;*Ir~delkHyy6~&wJm6{_32K8lgzjzaz9Gd z9|%3Ra?5A*aD+{@lJ4+_)8ki=)|@SQ1RV=MNxv$$Ybb%On7VH{d;gV6Fqsb9aRLo}t6iFs54FPIB9-04Bb5ts(>dbO#=&&Yo2G?z)~E znwAJU+{fKK2H2uZHKXOM_XLG%;em(UbxLe6b^7Se6c*~<=$VvWyZ`6`y4!y983B&6 z=MDJJ*Lmx_b}SE)84e)@Jdd7{d(zMclOTKT*Db4VIU&V2)X+>BFVlhS_DPYg8eNbrdJ zRjcYa0m{}2-A@qn`5T{bGBMR#8RLu8qOygtz-d+0a>VpT6vb3QQo>V_9Pns6wo-D5 z1$%5&Q8I(CP$>f*YwdC3;u|CQ)}?a~#_T>JKx5PrzkG0H^(h^3Tq`j)qL9GQ} zI}!ZT^XjvM3|^0yd@v<5?`Uzw2=J12=9`^Gku3ubXB*@+l;B{F%}Q?qS`Y7UYUemF z>TDpQ*1>(6ya=ha)z9CEG#~XY2+HOBtaKyd;8e3Ey1iS&6%QS;#P20}57Kv$K=N6gO2H<|wN2H8!x6AbL* zh?_9R!z-pTL;d7nEkAnXj738P8uN?9pc*jqyU}KxNfX9z zSzS5mC$bUR<)=s1oV;9QCMbsM_As9+3FIFas-GMzl|?n2bg)ssnmE{Qhf{YIL|ige zwuw`%0SHxcO=L?^LEt$!nP`u&FV# zzmkNysIO@4vgbxu05lSO16?H<@Y3|0h!+r~YLdhF34xl}6sJ|_rh)+6=pkg3loCxN z+Z-df8+l-v07PjdbEr=&;X1wh340_%xo+4&W7vJc4rHIc2i9kMb%)w?d>#=Y)Z~Kg z2m#-baB>Zsk-&LvXA?HHh<)KFvk5I=KocwWwl*L+Gc$1|n}h{@HtMK~@+Fau?kS-~ zYZ;ldgktVWOIT_J5t%g0#hH4lWTkCG4J$h+11Z+e3Y&5*O(2D=&vO5ph=aAtt6N|T zD)*E+k&Z~Zz1a09LSG$QUL=QgN!(8pv9J9Gi2Y>Stqnt&jD>vwXA{A&LD949$oIz^=6%7i4Iw-eRWnNiV*Zfevy7|Kv=OAX%j8x%On-sxpjDMx{P>*SSvB zR-}wzbAL6!)zsZ40zUgy5Px!jj5R|M@M(tumD0)VM$Z)9L8&8?`D84oPvUw4&doMU z_?f>M96=&S1(`R~&8$I)&VECr<$BxDW_#ln$ zo=8b=poFF$A|KadmYqyG?|=o3DyEfh&la|m_SpC*NMOT_q0CwA$uio zSkE{?4eXD6lGDspoRc)}{KgSv81a_#BxAS2;O6;~IDAOnFAMlQ!Of&a1euad)h1Bm zL=0jvc((YOqzaA#C_#_of1YA$?Flzk7dHCuVr3*GSz7G?F3N=y{yO}*5mQ~bj6I=)K8D#0_ez?rjnjeR@E{6UVXcYaO)Ly z)#Wnz^d74w9;h9>^# z)$TYPz9n$o$9J4JL}fKH5$?CnNP#T4#DW$6H46O-0-f^}7ep|Q43;ashnsriqWADz z^>?)%M=;T6trkJ;)i?BDlM_nelSgXBngu>FwZBlhRl zLa_LF)&+2YE|1iuf|jR~rh*>v` zTjR86aEI_8i*|4y>s2Xq2H{egmMfUG``tHJ@5$U}`GikFUmQVVj(^i4%jDe#rmD)( zGAV-U80pwqYUmh|2PdwG+|sg)FW9l|8J{kwiCfUSUE=SdhGqCgQ!{32$9gCe3(u!75Nxvs>FA0Q+;LQ@R;0iV;(^6*BYmVLIW%U0 zi55(^-R{Vv0s~xRuv^ZGP)q~6fJb-kLv4g)G~bV*djXNIZ_;=yT4clW%ymI-A!;Y+ zu&jn@00OgK9(eu&M!j6+ZULfhG^MKCw3V-a9olS(Sl1~@tIJGY2aRZQqH}O+MKeoP zoYxls>h?=&8j_Ss<4CW00{tHqL_CI0y=y-E9-FW-eWfBF78s`@`j=B<$P* zH-!oUTk`pqP{{O}k;>Vf4Q?kJ zg)HY9>9+uY?TH9kIO2v6$5*WIvT0dW65eNNUcr zy~j+#+77fBtzBa;Jua|)GhY3{o2$|tU|mn29S&m;{_U~-dE|!Ke{0oXwqhwh606)7 z5#F>erBui^`zgkIfl{hO{%F0{xjmu2J7L@M=Q!u(W?JBsY7gFX!N%|)(iS+R?8;HM zz{cRvrr|5X1*)zEsgyyc8YAG8a!jMf`p%t1`#&h9BK*CopohtBNS@v(KmKNAL9Edz!0L4?orl_fP<%!dk1d)fn z`c6GwiVJzBjDuD)5@9Ac>Y{<zODWYQ#;4eE+e+`Dscy7fRlQc=@XQchmCZk1`&y$eDg5r@Pg%% z;LGDSym6eg)sHLS#&L2P>wZ+wGBVP)B=>1iJHRGqMP4mkkv#H?D}qE<;Np!eq%Zt^ zBMoUlru5id0#UCj_Vs^Cws~0U!cPv8$~k-iR*roq%`VBNDQ4bXcJgCa_2Ay=_m&*I zh|$b*LxF}0O0HK8> zb}}z-<~+4pPVIIB^c=eEQ9+Oc=sj^3FArbSub};*P~FITYK;Gs92=$H60m8ts#RCH zt*8!-BV;+XzAU|D*JPZNrSw;D?Q(h*V6Uz2HrKLVEY)VFQ=iAxFdX3{XOkY&YH;%F zmX>U68cH?1A3ES|0Je=-8EQtiQMtNzdN@3n+T9~FdRJ%l*wxe(-IQGYsJfAubcxGg z!0qctVif$zfx+_?YVqv3zUdujo>scv0anllVzz5=VJtsnCAXr+8PMQ13pF(}>6Es= zxq@6GZ^*7PG?iFe>I#d2mg!v`k`_wDMoLrj;A^$1yS`qE4Sc!DvzuOQM_(1!5bS;K z>V5tYqWyM)FFIG>>O`7awfO`(?bxwDt_g<&k`ONaM32^n6r0zWz zG^O5({G_riZKl%k2~%x|@Q0~K1~W`F`h*(KllX>7ErL9z3QAJ7`HDz6z_Z|n&CRea z9(guwZr(S$s~BO77l30U-Kj@WbwR{OcxwQu)O?WbyO;3HR;@SP2{S&!v^Q|IX68{l zO0racz9YFPnhRn-^2?Xl^VB&o_Psjw2CUYWC|^;7l|$@e8`eLk#?yL3R;l12R6($Z z$V0y${Hf*)a?02d%27a2C0~6?sUvIcc&@+^qdp-l8%K)qFnw&CAmUV_f?D1TB^#%M zVW6|Br~ww$BVwXUjo+Z4^%E_Z@CWPmUq?t+6$iwxAk%BO17W!4PmX_?S?8`cV?W(L?{ zV~R_T&=vPIREO0IAPM$_kpX|&SC8pC-aJWGY7$J_`V&FcE6p)FWetf|1G>?FBb6Hg1fj(-of zBt`oE3Pwg``x$X2a(`wj-y!YkM1qdb;_&ZX>jH@>^cHGky4ZBi_K@(_4&so;g9(AjMm+AbLhR=czunBG1t}?e1X|B^in;;9H-vuH(sp8 z4t?FrY(g{EDM58Mhwliz%Pr_ZJK%onLEg07)8k8`EWOk)c-nB!B zg4SHMVVuaws<#fr!c>!H#%><}9>z~mRQ(Ee;`V$+q*9+r9S^2d)72$O_*_FL>E5}H$ezcXlCVtNXODhxs-9T-kIW}cLL>d=Z~ ztBv0KL<%dHmCZ6%)u9R zMhr&R9Z>XaxvT2Eo&;@O?dqARSylApJoWG4dONNl4((ph5!gQ-=-;oP*fJ_I=U+h$ zLLIHI6+{dsL2yA&-L1Ql5g$nh_X8u7KSEQVkDcroYC5b=>(BU0_EldoBMD4(pCcxv zJPhf-k`~rC`Kk^~RR(?Nb*5vayr$I|d<)ZEI71r{lIy@y72AV4@u%H7dRA3rR%x{= zv&6fLk*n6{a5V|`YA+WqnAu$(!)rN+&|UHPwtPWS?D#WX)0P&1iY(ys?TK9jz2^&N zlJM%2fJgbk;vE>bT&G_x6WY5cPGn{A4JUV6y?R=^bhtS%cR3fl-{Z`%E_+-Yzq!oM z2gWSBaf{^U&KLgm!0cqTUz<=%b{83Z4#Tc>epQt;B58G&-qRxHL<1T?u4l0(YD=?7 zODU{9!yawPC#I$L?)F5aNDkwGrhW_MaO&fM@WCL`?i(T?PGhLGj8|3#SO|nv+G;{y z5hmSKrPGbs;xp8V7DhNeH z=Z>)=amMiPv8XSOAK z=U4tP5FErEwpRg|Nm-;=$HO$7vPkHHIP{5r;vgolh99k|WJX$38Ac8wPPFUNfON=3 ztEWowLtLOv@#_D}1S3evna=#8h#T5G7T`8eQoizIKAjgM1hY<>pK@g#?=xiG@ELbCN6ayko10oZ}+xClr zt~~K86;dXBcfuYF;tIIx4VC+e>3`wXeTCJDmG?-3Q`xlN@-nST@n) zFv++Wi=IRsi&PSZ!^kk~|`03!j*&iBIYaOe?&tnK7lX;l5Zv z>r8fjoPL--I8sJT%FBJ)*oz3R8QWIN7?RAl5kS6h5rhSf@F*K&&mxN?Ck(%Wx=m^Slu)e3ce%3&O9M zFIZxwl(|Z_e!bheDqHq~)8SUJ4z}SJ!wyXy$#q!O=3q)L>DM{3= z2n@VDLd+3t_5DZ=S2cmpO!#Y{ZsGIh2)^XT>u12ViJ((J974^tWotZz;9r+1N9eICksz5ljQ>x!>lyp9KeqU`Mgwau8Ny#8icl z*9-1tY!1`O%A@GZ0~}hKe%?uDijF|ySG#6)d$Ikn7XBQR8H1mJpj^X~(N<(&9U08U z1gwrPYm)0fg=4IGm?gOdk;x4BYF6u`Fz!g7p|qFPD`rS1_`xR9{uAU8jbnc&lO;zV5TX5|Z7ZTqtJMt3 z$sR|AXJ01bCV3{NxKKU@-d4%Ag~zf}j7hCs0*FjQ7mMU=4;N$3E8Mc>#z!g>=;a=& z`-V|*Ek_FD`@mKKHcfTxTTB;>$n{I$Du=|I9$OPqH@y_SDL#PcDFP z-I^gGn9fq&z>NTO^4gF&pWuJf{Gp*ic`6-U4)M2SMWQU; z-R(u#TpPd|KX3461#7%Bza7cxOKH0PT#AwkSDjWo`p18Ar7;-TB19lV{=eA)~ZoK`w!yPV(M3cw97jc{3U6mMRT(h8dmZE<0C_Vbu$iqrK?R|% zgb7442jIEP9h4$<=+=*+O%~mo^Z4lMbYA@WseNDc`oO&Y$r<~P74|3hP<655x9>AP zk-$CX=5)Ic#c;n2{#w2ys^!hKKF04xT6Qz?QXFqYZ2L0Tl5Y+K07qK`A-fMklb1K| zp|oWvL8m8*er|CD;N7i9)FWRLlrHxy-@w%FWUKffKY2&`1K!;~YuO*K?l<`~uZ~=w z?v>sWx~;o|MsVovVHJH@o}L(U>h{1#kCe8;ISFL!a!{In%+T>sO2q|9-y;?+=RDQTX_kQ5w8@wTx}l z)j<`mj$2ZztL#_IHCj>&Zs5T2N80RH7(lM5vID2ip z8Wc+~B~JZZlU|f}uVhZvdj-V!>$*L1qtZv(Xlr@J6Gvf=C&UcI9wE8f15XCs#ux#q zXiKsk6P?ozK4OiBqBq?M_WRgRr-Uy1@%mH$*>1lf{&1!~+TajYWBS(JGkBEr^K!ot z5!nFqzc$$h=de$0I4v|-h1^jb5R3xw9x^EhR{@R-t$t2=L$`jT7uaxPd}ptP+vEXu(I zJ~$caw9^pN&(jA~#sD=q@vIxN=g4@hck6t5OHOsZdaKFzp`YWtLLI!d%to?wd(Z7# z*TX^Q^9-AVZSK;THG;G6bOOb~l#zn#6bKb;*<@>yXuC?>aZrVwvw=)O#v#4>D3152 zYzj8L@A+yYUuCl?Bex~J+Q@*PPjaTFo2-5YR`6J^5zhOuz8T6Y-Bb-;!vL4^-IA8U zKhJQc>g8t88&I=pD@+62n3!SMBsFYY=3S>Fff)xXzA*R%h$~jybU44lgDr4rX485lm?Dc*xM|tVG4qN7$ATkskDi zFe~w1PurkmF0I&nw~>c`YTJDVe}V>d4-Y$eo_^x-5=?!jhYG1f1-OsBm+4{a=DA^I zzsa@I+R0?Y;<4xw^RsXW?ciDDkARolQ=C!;e`#J+#^6n#mil4O9^-!x>P1J>?`if|+jb(kH`{Xp2*{-sY>PhFQCFB>aBOoA0{N{*7q=LAcI-2#l2QmEMg` zITS$MTuYb@c&}hk1`9BgWvqLLaxx80-5ts(^@?Q>Gz`p@^3GM9mqP`*(SHrx6?Ouk z8)$vM-(al>=9wJK;6a#ozQbA_RPp*b_Hp&XN$T6e%9HtAhsd22NeuaGAX$unr9(Ml zqV$dSwKQ(sACKdP0y>0s(Lv1=j96CDSTHbJ zd=9PTG%z5eQLdhPQ!f{u9fEY)u7PIuyVr2d(DT!18&}_`bx?iF-LYs3ztE@#W4P&$ z)ORfidZ%uW*`VDN*6w=e5{Mt4v_cKMkH(u0$wBDPXZK?#1UqI#n4dITGCo?fWIub& z@x+ zCdPsicZ^$sK_k5uB&%Gi1W`Et}CR`hvOh;(S{vhYOyx!X058 zUKI-KYXSr`8O@YQ?;c&4NH3r^6k|)J_QkAu-9Gw5IaEEyfOK$7+C5w-hnt-|)g2KY z=DGOTn%|Le$*3~e+J1Rl*&CQyUMBQ=oPb?>oQ(M8nSalLyX;$7O6@-6%g88KjNI%r z%UNe)YeqBnur9vr2&Ziwx<1Ir)zxE0FGy&PepW09b6+}ERY;) z9@qblKoMi-`8Z4>xh(Xhe%h&7#v5C|FGC1ho5;$;t~^O;&AV^VJ|+>f{zV{Fr5sBh zciCPOII<RwL*boeZ+RoCO)0VOx20n1MZPlAf zGyG{hQbX;e|?(78e(rA-(N zd3!H8xOx8#PuKmug?oDG`W~)NT^=W(qt^5Y#%o)0gst%9hH}@_5bzV?D{03@VgVmB zIrITVm#2YzKAp&OhePpIM(8)xr90B(ghia!{|1mrYW47G#~0TGK+Na0(e)9)i=}>< znMj*o4M<9PzFX1n2|4Fz9`+a7_}>8sf7>2=7{jMJaB!qkHSXR8Iw!C*RKOaT>)r+W zQa$RZ!GAupz#DhX0%2;o->5(;d&?_=nsa19OQ)O**f1JpT_Am$LqG+dK3RvLc9p82 z3iy;>v!&YD#>%H?*wORif=6j!fs_vBig!Uxh1CVgoz&+FWDl{6ecFm)D^&-;FCwab zBIrA}ag~emOhB>Zpr>e@80*Vy1pGNOJrKFuak!5|X`^iA`;!!QNt$^3vP~AJN>-j` zdLnf?;A}RMQc(bY&9bgvBUoDbkrtC8v3{I+I;ai98H(Tcm(;sdzIkMJTpYd_0Alix z6b?@^X|!BlaVqsWguk|Mo6!Z*0od}vgHH!3hG0uflh{FlF`xAn7%H2uRQ;@vZL{Na z=MTlM#_=v#fzcT|Q|(mV4W=o1Zn-P~^~6wwrN-?qT!tLJWbeQ98h!8igfw*=*&I;G zT?|Jy_dGY$oqk{G&VWHl)8MfJr>ZcW4a)t}_H~}Io~8pcr3{C@I8c65S3AECVQ?Ls z4z@hN6wpEGpp9a31OjknV>J&~Adr%a0k4O z4?+`ua*3oM?5Wkl#Kg%*h?dM7>WLL*>#8yKQ%}6lQ9U_3Xl=NYoSh2hklYRGr`5Zk zWKpG=`zObABjZ8`rb`Q9*W)fukgW|boDOpbCXMxs$`b)G^w@Vm!1^Ve>V$yJt8$)` z1bpgBXh#$I-lpZq#zBkL_>%mIMDst{copKRe`30Jp%V5FR(a5;1?|@czjep1mlxXHfpco`-&lnby@mugDlzCEpmvK{?p% zsOgQbCb$8^XdvBJ(0fR3$tX%OhBWb;11L4?_D6E2oUZJO8i?x7r#b%S_ucjMmVr>4 zPir+?Mu)cp)Vp%e7{IM9D-C?RW^RF|&S;tSo>$KRL(nxd5O(F-Iy)LWhK^)Qa^|LQ zy55AvQ|~sN4j3Pbvi(_AZ9&p9&mi8tGHPM!_W(3|)a*3MZVsv)M%}H}?4XZrx*V#b zjGax_pBOgktCRMW%I9Z#!lPlAyLsJwofCO)Gzw3Ta3$X!5!198|KxD$6IJ|^Ge25o zbIwllJ$k2n-|HRv$<@nOqtqf&owb!nSHRf7pBPwMg1vuoW|>!AJHmQ!G9O^Q@$qBx zas-f@Sf^0Vh{&nmYcgr@=@~$E^tdv^iaFVwvfkunBl&4~m>Mu*3JW#(w7L`7&eqlw zv9Ih|GRdelI5-a2Ann;0l3Q#ulWzwkdrh@>z{qGT_tx*ndm;}NBOz_nqXw8u{2?kY zkF1o;M=}5d^PGXzZ`99@eMU$OQo(9H;9^$o=*OHXlzTA84gDS`N5=9D@U1==wgILN zpIf9PY^APGY@z;`XIw(e#@51Q`Dg;fxsmoiSF$mvd+WA4GclS*|`j38H9qM1S5W+eT-X3!lT$;rgVm7^!-bnE^kQDqu# z<_|BaE)QaDTFw|iYu1e~Vk&VXj`%RdRO{f*Aqr$oxd`fk#4-VQlAP)^^&}V*BegNR z>hv^2p)bZ4)pTU<p^+~2u-$trWJMBJQA2~{CS!H(S z808cf+1Lz99SBK&JmAdDT%J#ZET8k@dzG5mUCsLHjI5ALzX!%gwWYzlP&^5(qzuEq zWwx~iajlL~Qy!Avo}phO4?SUVi0gA#DHx_J^W`TUbH&OSm!HUSz)c5=mUfWiVC z$NGAZ%eBV(dQXBOiWzq_B=1;(^i6tDxNP;zO(e~+%xLi&iZmE4UUDBtw75^@RhN$l zjy?K4_LedDc4I|K6s`k+v_%9tum5QoM$B=mWkk7sqm^M$#I zrpb4Qfqh+M)c}S~?xeHyd$2grH#LAlv%7<{2Pib-Mfm9eBXfwp?yn;u7ibMk?p{VX z%63aw1J_`LInT#91hm$?n*+dE^Lh;j&{#g|Q8d|@+{RyK0WC#Hrp^>c9hv0uUKdmO37ri~0KX5ySV5eynJKm0v>x#UEipRp^p)XXoiD%iB=7i12z@Z#BnfT>YD zaei2A$@+pjt@HN;yDwI@68@n_n@Z?Ypx{r=BwQE(vjp`F;i(fAD@P?_0iPu^Cl_8_ zlI$KT_Jql(=jfW`JicTwvk0bZBd}KNpXxI}Gk`G{WR^v4cU73u&6B`#* z@<|fbFZb+;WIK_eu~5!fDfTo1?yg2XY2{JZ=+_y|Ym$RKx$$8&Lu@cSCyX{u{K}u< z_q+5k6L6vDYD0q`DIADSp%geDkdG$2>NuFVgZ+!8! z!oxGzG5gD?M>ZZK*6KIw-!0UDDcPvAsWI?dAfLQj6WpJkxrdKCUnB|S-6wEhOWl0Z zuA#04T-$hAU7tBU_?eN!#uS`evQcd$M4PPymT|!}F%cVRhzLh0&{c5~DU?HD=b3ea zQ1is5M!|%od3mw8*v0KCiikU^*we(ZgquEfJ3QlXs*B zWZP#X23V>tK}^2=a&fY4tEK-`^00EJPG2j-+jRGid`;~23_%}ywH;eHolTR8Vpb|k zlWAh!j@v;5MQ8Iw+8BGbIbo1CMl+qSvUi50Q4Bz+n+~gh23(UIc08KRCv9Vz4ZIz& z=(M;@rk8On9-DRo3^+Dl?L=fhDf?!321c9pCPMj4vcjH2@)*-0>F1v3YTX{|5|y8y z9QXm(zO2;Nt)F*fbC#H|E;;iw(cm(f%vs1@E^9FBIX7q5_2E^gPjU9-_*dh8Q}r0H zekezP+E(pxh|)rU(7|QZh_wgr*`$!WEay_M0hn5>>!*?0@yk6M21h5lfYLS*H)vuU zwj^mRG@AQWV7UhMrait2!aRFIXSE{JKxs=;r)-5*%LMI})`!_|y(d$S&#Ql71`zYbe?E1BNALG$tB2RVm3dyb+BgrFle_)At&YrY~+Fi+)mAc&oFr5r5 z6c|d6n*qJo-UWN8%-{ssP1r;23(@V78d4tu%Z!(2{T%5*33QqOOKR$qNpUhvQRk|` z>sLwdC%fv#DRSx~PSGcE4WbobTIzu?pIRT`)zJ0r5#ZC#g>mp{C*or`w|f#{9X0M` zIF7pJf+s&+pYT`C2SgJ_`pHc>Eh3!F3?TFxtl!gZ#OaEp+~YdgCzEnt_Pw8+zEjIp$=(?^*+rwcoi;#|V8D9d zSUJhXM`ZWLW!9?tJ;20T)e&cStorh85D0HiH^&0dpR(MOPjHS5YoJMW0`9rnT@(QE zlom!_#W^DWcBuD%^Xgn^${eF*)R}(2Q4?%$5VdM;9XXA*K5oPi@r*q|GrVrB-vr{* zcvH!d7l{hwFgRY}Ff#~)(KYP46*^S$&0%Wc@-)`+3Q>yW9mWYNh$9)`byS04+#zwS zZAa=h8ha-KGQAq{=aX^vZ0hNLSmzu9@20be`SQqBfTkc?(+15Uxh2am#U4I2i6fRO z&TbgRZ9`(qU=+76hDU&zEYw?K4ZVO(g;iVL#l{T@R&2xRj^s>_xG2`xuk>r@_=s)- z(Wa@k^z)3&E*u^(aofIi*wz{>PTW#vQp6UHF7R;n%ceFbwv_Lx(TD|gI7Q*pdor4G zGQg5-hK(*c4hhnGmouw^br>(VBB3JV@F#4LHh1wuAeoe-9wpAmVOuG#P#&A)lZo9S zGi%hv{Z9Z5?FwaI0ZSO)byGej6=0bEJj^C^qi`nRg7Ye`q-)!TBkA{HUrXilGmeJF zy$K^rajrXE9fromBCdIE5}-vfd}u{=B^ew~6hI1|akrS0 zIbMnIoTnudC{^Lpdhp`&VQoetG2M+p<(aSQLwVH+|MV|37v0~>i>I3~5j|rVWOMJ5 zdPWI~RDGBc2`C7RnuIF$yIm8i$Z?_XK7-GVxT*;{xnegHXWW_gz0!s|0Yxm=NITE! zVd-OIS7K=~ry1fLB> zUFdWo*47uy0DSZHeUbS|QY?CG+5#3&8XMN<^%WCx5G=odwW}+wQwv}_eKU;KpO~cf z=*9Jwgrti|jTaTnvyu9s*_&NMJk~#4Ru|SNLIQ3;anvGWrcC?xc z=mJUF4e?sAs_h%5xIlyEFsUUutwD{qhuw`P`1M7Q19kKTSe#upyg5P)^0j9qt1tXL zlQr>p{F8&8m!9L7iUJ!!UYT*mdh%h{Pi6Z+Z6W8Ihn=`!vP358&dgE$`?Ud z1f4Em-hA|_6ldi7;KK-V%RO=d)25bwth_j|zgUdysBAX?Y<@HcF07H^QP<^>s)xJ# zDoNDDE{8eNpA6G|m82>pBxaSMq0kg7HB6z04X-SOd z8rdp;@=~VhSiTDLYg--Q9g&}cCcQ;u;7Q$OA*MF$y1btTM^7Ji&`#y2^9G<+oZFi7 z4NSZkVYi0nMY z*GC#8PC2Ai3xEO|Tho^}*cnLDAY%ZhAhM_hg9IOjBjaTzT{P%B7=g<&DfA49=i_S_ zIcH@B*WSv(N8o0;n^Se9y$_YEMzkv-@(V_NCrT}RJ^~7*d47_6Bn{}4Z)$6aX-MZx zWI}tBf#~-UaT#oUw;_;bos~Jzm{DpGrTMMY)m9xz|HN?)Sf;5z_$ni^#kp(Z1gMRc zM*dUomQxcdcJ!_@qKfrl=L+K-Iv&SU^T=`6$8jVA-74jX0@2zGP>qSY_#psvY5q`@ z`+m36IU?|4a@5Yy`1R_m!2Q3xMs>ijFI;H7fG;ot5Wy1GO3KE;+UaKk%bysNsM?jb%8zA;a8 z?hrr#_nYp;JksQ}kfP^#lL*CO_?-VGkC^xlHi{ih~R zwtgRZmY|sQ0bJNf`%}^oxxnjV+t?>L**6QtYCGe=F>dYD{`skPrkf#TVS)80bhJe| zj6c3R?G)%J;w#)XiY<;chvJB!B%Up{(}ffTd@qpx*p~h2cYG%+fNV?+N4=i*keu>O zYXDg3gp-iQ4b%8h?JL7cxWFSc^*ke-beR1a zmY^iQJoXE0L*}gE{M;tUw3}feR@F`rz5P!s^RaaBdN8SYJLI8BghDo`2~XH!DnEG(B1iQK(+8DK$Tyydmq@f5wKb&CpJ4 z^_zjP25snZ7j#YWgeJ$)yMVn@I>2#%qAI6Xx;~O@zIK+X04Vc^1VnqW7 zm>Oe#`9i-%!?^Ip-?6*j3&xIO%bethHR1R{x`A$c0w2}_FS96R z)<8}^m_DuzawEUHKPILA5*uvVLCl^uDDNP}p-pTv{d>KL^G)`*=f#KZ<3;z6BoolD z!2rX&KbtAsg?c)YBh{x~bVfAM$FD@{IGfX1`)nD$uir=T@n~it3e~$`Wj`a~TJSIO zf)y@38cR09RD=JKZ?~EwyP3jl15)WVx$6EA0lVsror?pdkylg9BTLiIaV8?}U;{9@ z?=%Ho^2X0^;2(>l=s3;lc`el&i5-0GW#63>{9e!-H{g=nknl$NnpW9#;3os8Ferxw zu=3lq3rb<@5t3`W$xwwSH)CF3oJWNRu-!_eGGg-(qbp5H?@ltjmU}NUJB-^EOzdz& z)Hk!O+bvyLT}>N{o(2T578EXN%-vvG8j9O_D;vXYKweg`dlXrWZdxEiTt#U3IoUwgAkYE3?JW=jJ`5@Qukxp zzcWWk!i?(MfO;CSQ6xuH4e{u^=kb*x4;xs|=zFS50DJO0{1K$S`+Zb=H)OZi9n&ot>xzIuIIgoG&~6m% zKqoS90|OapANBM30|8Niz8>Wg{^Ccnf|)s_ zsaON6c+spIP{n{nvBmR*uFUqqysBM{YJDITvGVb2t(kN@eA-VN)BCG&#$>hMGR(&9 z%$>ru0J1ifrI&;8)oT+)CmAey`0g1lL(wi_I>7cQ`wdsz#09FK2E|A?%^d`!jh^CU z8Q%$flhQR{w{kcaSHVG4haGIZVkH7W73_2yv*X83Km$xgzuA~*as7V6F9TP?W+M7X zk4AYq;+Of(He#K9);^MB$KvUIM?Uya+5o+Z49bl%+|oA|dm{^SeWG|bqJE7-<30tj zm2FqVSnN5HahWU8G@Yo7JDYL1S{NjT!%+tTgxP9oY5E-rVk7$os|TF^JU9FX$1xug z-x#!U-4GJqu#=dTJIBnWPGcM19_z(jzo)^&a!~HkM!k`MxP>zTeF$&LW6j$LuPo;x zNj8%4_IbzL8WFv~4rBJ+yNfWK^0O|if*F%-==yLQy0()+dguV8>($inN3!#`>*Phx ziPd)2h7P~c@IN_FFl;)sNo!2J8&FMuFRs*U84aKuyY2*G{t2NOj8dYl78b|HbR9pjrr@2JR?iu-P9!S$m^!T9u`^Y z?r?{A!D25R^B~axz3B|`c~w7W0$HwS@Qp;KHvJw@DcS<|*o=b3ps7UfXgro_n0LE!TSxHr^bd|`lhZEE0l3pb1XK2#*( zRuRgAIlA^Cb)Xc_rUEAflHv(Jig5b`I&An+oZejG2(6x50~{y9A?WG##QI5*CYcM} z+9wi}x-VK73jDAZlvFa#0&jcqwHvvhtx@XN{!eeqTXH72V`V*K^0;WgZ&K%tHQy%_ ziuw11l(X#-&!EK^Sl;50KkhT|qI8D@R?101!?{GTuftU+PFl@j5T&?+u~_};4g($PsGss}5|=8u*^I%R0-UA++~LD#q>52pNy@^>1NX|g3L7X(DRyc< zpe(gPoJ$H&#jzjz`b2R1hMBvXs*iKD2Ji~QG4~C)YHR~k)4{NAW0rnzK`JOQ2>FRq z-SEt4vXT9D6Sn;JEB53t+wz7}!=F0~=M&$TC%!IAs%*tw{yEuGyU9Zpbka1Mw z6H<%FtD`0>ejADIrw3mjI@9%~Ww$+)mXuZkw3p3S^p7x{YNII*MoPz)A` z$)<(ZgfX87UK1zIIDBnkw(+@G7ksPhGQ}PGQLM|ey6Z<-Z0(2u>#h5Txp3&!I0Sj0 zT+V-TaNQjCOk%!C@qdWlSOlj;tDhfjojzEME8@|XBI>C zJ0K6{lws|W`I_80KXD|)i%nk%pi)<@^?H~N94Phk0?n@55v0|5KXNUYiIJ@VX#7IH z4jd$o{pG9gq@bC6yPdfQHHbnbSgP$L31sEv$Cfm1;s->k28Zd_7j1UFob)_D9fHQ~ zQ6H2u(=k+^1INg|RB#855kq>1u%&Q8j~(t}Oy0F@kYh(m1I6EeAW4Dwx4kLYvWnC(l{Sx%Jc&*DF^QIAR$d)>Lci#N z+s;@Tju2v$ed3Ya9}mre8}G)>9s2F0rtu@zo^xmNReK~DWMZQO*Iixj^?}FZ>RlZx zF6_gh-)`k$?EtdusmA3Pjyf->Me?O;V!w=V-*5p1uZii!K6cDlvASc(M`vCMLq2)?;x1dQn1JWx`Y;bNL}_$yzS+LH z5cu=Xxb>>vTP)6$Lf_;*1DBn#)Q}=G-lrc=4=yjgRT|H%%%NBXBk)6FiKfA6upf?UZ}GWTSX>u}XO+kGg)3aK9n(M0hPLs~CFUUFDIQ%IY<{C`E_NpfF^k*SJCw4WHn0JTUCDqxKrX0p0!`cK{w!>QVSl^cG{g|{Uk z95eJBBu+1PXtumJVEU^N)-b zpkIxw{WdU1<7m9WCNj)ktqXqV!p~L|T@f08U3}yUsP@v&=3}EV^)PX|%p@QCb*E~; z+INu66@50K#J#=i_b`;{v+r=LF+S!n?YeP{d_C-9`z|5y;W;2gpYdeew7Lr^9xj2( zX&Lva?HyjazA zM=vlll9kJ7k9?(sbRF_>7%;}4F;pCYb108=VzO}C zY>P9O98eU86_>v!yHw}%POz6Z|6Ct?-~oY0(BkrGCpRFr=6F4u-29l$OpiVkX$EVs z;C0G99e|5+GRyK?gRUb2CXQ}6VFPCMKP5*Nk}+9-3G28Nv=KC+ZAlD14T5A3=sC;` zG%1GBmM)o}9R62k{63igoEF6c@{WW9A98bOOt9*f!P0v37QM(7iXK2yI_T#czo_3& zIQ2Ovk;YAfgj1Tt9Y)V^g#dAfmju-ZSF!W&a*Tqx!}wt8JYec5Cdg+`kKle~{WF6z zImO|S6e5M27?P*alWZQ4gKTMapF4*K95w=$SG73#HFRVKzlN>x>iZS$G#bng2{wZ3 zgmUb&GA4j;ml3U$K>i!M(v7sZk}bhvHLW>1}VVFZ%d zcgy*{Zlakg8TJEfQ|Jw*8u!~b6@+sR)q|t9n$v^zw_HApIb?;SWOI2!OxeTX ze@G&$mz$E)^v&IZL1aE8>Hat@k}~tGn>DaX&QD1x4?$GM5g`_&vATLEJczZA6Xsra zO|k^)%mYqXdx0g!M#_GNPcukb*=?|)?yIsassT18vum73Jrw4(f{UecnyvKWAALzg z`Fa%b0XrzhiOE0kJvN(Dwl0XQgjz-z(IrX}&N4b18p#=%N-ZDmMaN@sx!w``PFBQ&Ff8rc@$=D6W^d79TvdK7 zhE3TPMNJ+azzDzL<8Y`f_iJt>^ZibYmE8h;M8xKS!_Zk`_4pRtuJofF=3e&_s_G(4 zn29|PbFXWS@bx?RU-UDk-M+(TM__H|B!>&pLC#aX9i9z$W;gz%asl6*N7ftIoE~}b z7%O-X#^p7;OWrYBITjGs6+@rTA75ar*?FVs(=(jmAb)#|H2pkdQQ!gyA7t6zU9;eX zbm$GG2>V)U{TvRRt$O%ej=)pfXC8aF@5AX>Zs6x(PIvQjuy0o`0-UJuLPnkfwvIU< z)?J@>Mq+Y5qg(Q_(H%r)c^T2$?r;w3@jG(HQy77p&}ZLidgCepucfUIY>J61VrQq{ z(PkD_cY?x_>J=ig)(wz8`$o#En@@0T@V()fh#aZxm~$c%GQR_9gXT3o!!KDcdE$X1 zQoA&T8Gh!iAD4g;@r_SvU({(3?Pae9>kj@SG6WsQdYMCkDiMRd=G{2pl?)C_{$3rl zNf**#!a%ddOv-_7)7`&=^Kl$H#r-G7|C~hHH9h^NJmB;?Ep+^?>RTqR<7b3h(hf3- zJwTX4mrpN+oudFWLJsj{Pa*XBhEg9mF?A%Fy8X^|O0lsJ!g=6!tbwNC%OL2|Ku5M_ z)TEW<+m9Y#alYG#*+vS?1Ha>Xe>Mt_p!jn}W>Ba8aAptyaQi=zR@a~PrcPA9C0Y2V zrpyyIPgcIdBC5((iFiHUypo!Uy|iM9@;BKfPo}JF3x-ydvhskv$Ob4j90wi8E3>IP zQEF60&PkIb=NjC6)w`hv(TVg5`iR%+WI4Q+_581Y_b>nHKmXf*`!E0YkN@-k`G5b9 z|Mrjn@E`ueKmJGm*Y6+WKmOyt|5yCC{A2ycfBEpjrY;pkL=@e8zk-qgl&(4>@BP4dg&c<&CgnjvVl%t17-_w3dP;i#K3xG;dM~3x zmDFaZN8i3Avz|bM_!YE7KB`?U`67m1wvF&09m!al4R%nSzqw@gkfNvdZK;7>#iR)X?+=It}9kc9vaEG!@x_IB=EDSO-XF%*Nhx= zB;feT8Kitv!47~ukJu=vB24?l9D|aJ2hp4CnO;2K6D;UdBvFtgrA=M4U(m?!aM{wQ zGbR7gwSNUY$cVantC73XD3`91K-CsL6kva6(DemL+r#w-1(7p?+bIfec-2-x5~lfr zkulao4a*pFuC^$+nRL~T6`6c#hDAYI#EPDBzVvwMic^9J!WYbEr79ndWG9zh6oeCF zYvzLc*Mm)W)L0IdsszDrduyoCTeZ3%eF>Js+S~ZzWCT`?rK%u&YZ@m#^AmiQcjkI! zXWlGjRDMv9K#e7Nc+(!s7bHQ9R+H{LfF`B-6^w}OtbVT%HljY&?h!sewF*>F#*w)O zghtO)9eyP?X208g*!ptlQxSd^AU6huDi;|p@;Zpl43R+r>V z{GnY3#zB9>PcIB5tplpr1#uX1I7&YH}}IVk^0oXCyA$YkC7`c;qNF&Cd{d4=Am(F^#;Xn zAl@Vgj4VF!>aVjD1tawYb?(kI5?b_NNz^(zwK0uI2YCGb0xiC@3J&aS=T8l>vuW{Q z4m>`hXfK3uPz%zhQ8g1R+ARkn(%TfnGtAWIE9^U~T94*u$L-OOKx#X=K=t0tWoI|z zQb7wUtSx!uj-)4CH|X>gSiHYykbwKw+nO(_8E~UriuAv1hBQ#-w7XO`DCl7jo02n@ z&FySq_SHZ{?l~uT@SC>Ksj4rC_+U37!|k;P&C9#tuK@t5gE3tYTg=dO0z#4=dDG zLG1B$Nd|8J0v=J)ZPz=^w1ZI& zSTwcot>0*Ns(I;#NEGKCM&D#5{mgb9Eq0KhiHrPhO{+tbdIAzR=@!#1h1t#{QmZio zf4qmNC7BdOm5!FIYPx|mYVBF15bI;rSer-&`z%dWMfYfH(>z$QKzlugsocAa?^x-j z)eW%G-Kd0L!H&rOK{ z(>;muS<=p60B!FX2yq$x{V4l9)CE5o&NTC_Xn)!#N3i7pvPcJKI7Q^w8!8F*xFRJI z5fu))U%m%16Lul`o}}aAo1BQN-a{#{}r6mI3-&cuD;|4z$8|B$m*G_b*Uipf4GxZvg~U=Whj94I2G(n zw5#>)OEW-sL8KkiP%0%dml6mB zdFQgt#p+i@re$@d(7CR^0R=OI-u*H)S>BfK2?h+hqJ9PNq?sCWxg;FoQbB(O!E4Qr zSjxqs6+H#hVBRTRN;r;>Yv>sfFeN92*zyHod?e}*1*y+}>d{o*q_&n4A@Q1e1-#Jq z2Ol*v1Ac}s7%{?S(<>!ycRpgY@ zOYBT8yVVL{r(LN>>z-+@S4Zq*DA0>xqo|Mdv4B{*C|)Z%Fa2ja3>9!oKdVOp%Gzji zch99fQl*4epJy-wTWw_Xk{q#sq|`*g1v$B3{qq_d3Mit3n@%;9I8ke)0)4%n356_= z0a2D5k&o0{escQCiYwfK|K}E3fW~%iAax$#*ajbPZ7yI^3Y&>4jjS6ovlL*m<0Jcm zNGR$l3bG}8=zT%%T%VeSh2b#@mf9kLz1IIyGgGbSXw7usTQAZh!;HQkSeM$PycWQ> z&&8diAPG~ut4O{$O&D+~d3749BiRGulaCdBVL6}*I=B=tDE0Mr&a9CIy}BSM_lCc~ zOfbq&2hS1d*z{`C0RRj!{mComjBlV{dp^qz0NSVDoeG&JeX^-~_Z8S3w`ygg1V1F= z9dvjqHImLw56#^Y7vKwe=K0VwcRdo!odETF+_a3hk)~Q2smX2_EJ|YC)JF!wun6GV__*)JW0& z*xCxw;Q{I>Dmlt(^2sayE2)tSYUt&WFw+<%i5?X?+802;y+2H~BhxZy`ED(bK^oq` zfm?HvUH}@V=loINJ$bAg1winab9ytQwC*z^IqP!g@_6ARqUs!9#?j~!pk#xhSp_u> zkCKBbj{JZqNOQBFI)Vst4BwKGmOO?QBE8SE%n|C{o~4voI-lclfr};*_V|j-x;9+t z4n;yMBM{y(tJJU+$R`=bOG}Nj=v7u8hy8md?2Zdo#)wKzkC!j_&CC6q$xBN;*s2G} zm@bP2_s-<=sLtsMA*8x^NIe}}*A zpa|VE!>6t_q(=(nrM;>rI8uvkPX=FWh;V5IW&5tlK|VgKzAf}E@VKT zn}1Elm_nb{Bg0b^>Yoc*q;}Cp0#A_rc}uz!d_n73+2FLX+M`MEpt;r3(b5gPB?r%{ zD_E)Nx`J!fQ+JKz7tz6O^z_MSeHeNC@lpuT_co$KmG+)2O|D};;fIiy@9@b0o*)-2 z7n~gW%cmPNNscdR^XD&rC8I1@n#X zL_sJ$)6WdUj=Kuv1=bbxT2A&DcCG?fkUPS6wD6Sb31A$!#1AM~FO;JI5H5I)#_j;u z`g<-M$tmzzZhy?7zk(SGC1r4KnOITZ0$!chxLM%U@xHHVJ|hRh(wv>8C+U)^$lx{a zba2~T`b5YPM&EqH&V<>jvc?e7WC4?xf&J1qLFMJ|t64o;Bx(>uqQC_c9%H>}kBl?% zV!va$#+0jwQ@Z;OE*BketL0?n(Dfq{ky%j#IhakKS_LNA%jG~hzGperhUYZAH0@o6 z;gl(lYp;+*tlnjpJ{Tc_G$Y}JasRtJ=Ly@EP7(0J_^9drT(Nm}DcA71csJEyW->|0 zc-yf{u+-|79ht#h#r|ucF5n^yaFg0~Y61cD@+Ve2trYOv1oJbWxx#k3q$jK|Q=jmL z6+9DL3*gECblJoUEbaTTJ(qp6>1c=Fk>=4m=WhSI3>DPpJih1-0u=eN3t+(-M}8*E z$mJOqu=s|tps65<>Xxs_Bs=;*u=!d$FOs*2@9y4bq@sTdrGon-cR{Lg++bTE-Y*I&Hd2-kA)KM=e zu}KW0Qqj*PkL4WemCPe2XGaCqNQ9LY6{N{x=#HAYe9<#%xE8bwSAqwnR&(91U|w%m zr>H;^+UL(9QHcb!Vl!1RGX{ZIFr?NCu?kw)VmKEnPg8ect~g8uliyasj*-h@Rd3v^ z22E{Y!_X11GIG|Q1U)k{L@o}A+AOVRuw_;<)A1K*a@Nq&jZJNdK)+Vim`! z`D_@KF||I2>)l2$%eWoE(f-*=U2&YUE$rwq^Wj8QOJ>@QrfN-Jptkf%Qd^^3)Up+a z$Fud|m3u!W( zDXgdVz+0_qxrHXLW|OowU==C=Z<<#qS9&55IFHD+mx%GzCjKiJL8LCn^si)jglabT z8lHWvA2_fTTjAVNfQ273bHy3X?g}RUMaj618a=pX7Y)f?kA;`2J+j-$I8|||i<|^5 zNHQMHik{gVq^wt*>Gm`9`knA`LF`=`-@PTu&@V#zA>%Q8%Sjio-mHhl*(`^$uI;aq zyw}H57o>4j3n;>pefsgIMz%bC6Td6$oF4P4gUmzL@O;k=b^P=;VbnbPBuSP+Q2~*B7XX|lZL@WUg^xo%zMmW#Nz<#%+~yw}|QASv=Ls2fh8fpiqCIOCqjsalE3JnwWp$%m!x#yavn82XAx zY}qBc#tv|s<=wA|)6~L$B=<1t9$&EjSpVxtnAzt$P7H}kG#9L}Hc5FI ziK&*2u#UtQOl=P^Bdp8nfr9xW!z+vg>s>HlBnYM@=xH^gUVbyRqP^_zkRv>xX@<-=)II z+BspSwzWy0CjyZ@l3~Ru?{t|n5ggS8Zp74*2`H`Ovh^01t$gW*^}X~|C@7IoO!_pi zwSU%^nPFERL@BT&D<)gfiI)6S0 z!%FgeYmaK_iE$F|eli$IM_KmHs59X~jRpFCp| zI+ByYWVm1l9YM4y=pBYmtgDnamKFtJD=(IT1JuSvKVt=KxxH%(3~@$^Ye6G$8FJsQ zBQx;mJu*LS6Edi?eL+CG zzr0(Yr@q6;fCH(b(56eJIf4iW&$8zJZm0&f2KcN~;~lpwiWtL%Y0_V~<1-sfq-lZp*=ZAgFr60Nbu>7l@^8Kf(WPf^dWD{1Kh44YH{e44xbE2IM16wEAlF!@3A61g-1z( z3bfSij8_-lyzcOpDNLf0zvY2H*M0d9Rb#|jFHeP&!^~|WU%VVo+NVL{VylL#%y9Q7!D^^sa_+1yl7n;q=&4BSU>bXkJTR(^$K6|* z0{gQ*p?g|5{B;sx_yV6=Wu0OkYu=#23F4D>IXh6`2)m)B5MT>Vm-a>a4$bNI z<@cYGd)jHI+7yvY(kGj87(Y>+4eT6`{k?suG&MB=6v|Q{Rl}HRKk^N^+;!DB!}?y- zaWgnj1%zk_DbYM|x4>lN$h@hCuJGY4j+*9Nz;QNeUu2ace>c#jH8MHt`kmPZb^Xr# z^L{2ng>6ajEho59B%cHbyK|3wW^O(6^t9EfCr(hX$t%{r6N=dOYy6g?Ut}*r{z__ZT z1T6zsi3SFI+kV`L5+pe~0yIR!7$$4^!~!`~Wvy?X5fr2yrb&))CRuVCsP7{%Lh=kN ziJDzcl6|SKh}C@}l7A)M-MQfY#N21M??_K5uLtHnuuDw^CmO}YsS$L)-r)_@z4@@Y zMKvTgw%3sDuH7jsV&80l*_ZYJtQ%7P+SIN|1edJW?IL+(!kMXpeJOC!y&s&v++ z(7_wrrQ-?gZSaLUE~~pBfKk-a8=RpYd>UMEhI*uQJ*3^tJx2|1BX>3zBpo*Oibii| zxOM!TSf^BJkC^VJm8~ZQ#ag~1bY6L_8-1IP#j}xfSu3688Wv9-b6StAXjAKNPc*p> zh>f(&58$-HP1*i*$NU0BY&jxg+^X4M&v0Y@QZ>qQ0Py@#*Y_rIL_rb=X^Ox}8Hqvl zh!v4P@!3~`;{BD^4a@OU(t@K!22RR-mlWb?FX1-|>K`hTMxW#p9NNGoV}@%F?;QYE zfAgKB)ysEekeRAHUoaBshLai3nhR{wbD`$-xY%elN1jj}{bXdxuG^tFqPfuS$>P~xfgAY`5(nB3SPak7dMTx8! z(y!q0G)D0A1>pyj#h{U?#*%ZBc+o z7cEUgHFl3Vq1xMsd#|CsAaIZ}j<$=J*4#|u8(9n+eVLA!)-DP>bbYIw;i>6rFX29&uK93 zqU2A#!p0FDyTa42ZdsvOML(?(Bt+XctVGE88QT;KK~OuHG9#-odKnTVhpa!YaJyZ!~6sekSxx z`<%C-$tA${ay7ICFRwLl^7VWVzgU~SCRR;N?U`ipQ$u<<+jPEfa9x&%iLSwQ>0m+~ zTH(61%TJF5he~@0sT%W5>#6EvxH7%Ts!P*#`T3#O3+y{iQb+0aLF%JhW_fqWcSY-khG43aaC*zb9At_+lyLC%Ifgvd*^^wsI@X zD@oyeekSct@T|CGCE#+X;Nr|w@S9ALBtmk`c%L0s5E08K)ZqT=PxwLuo&M|AYjB9^ zAnMt+TBt&Pkv9I=RN&0oZ;kL}m8bXMxf%~Bp@C+rd{4mEZP+W4 zPhv!P!wIjQkLYAfR#2I=CsHQsXzMDGa(TT5tCJS_EpdjX>KayXQu+6Qa|qJcU`%v? zs8%)@6T_0=E1>IYRA{XudCJ>+$PxR5>NF&UH6YJ2JP&XGgI#63YtBhOpT0Rvmew@X z@DV0WufWXZs@|TGgD%01oCzV&(Suwo*MZ$m;3K^74?>D{PP76G*~^Y{i?=?Cfyh8Km~gr0cEo--+IQ*6pLC}!Py)k7^-v!cc6`4 zOy~N5Slfvd>(O`c;yuBm?SyLJNli

HvbWMDxQv`iGKcRyaQFWAP3_av1;m^mMM8Z z^$r0`Phf2SE{J-#AZ;*BJ=P=5(%7n`C(%|@Lwm5^X;$>)WR5Cwqu+XY?DO;OuhG+@ zswziXb@i$`iD!k+f zKGd0@!}M&8NnbDb@3`S)4h9w=gX(->pBXZ1lPL4$UE%Fh63qD;8Y2h zmMhtrI5(afOqG85-*#(%_@@h61o6oa*eiOqBPqy08dq16>3-@%~t1mX2EYyfG;@|(XMayXzgIm)>4qg@3nRNCQ! zNa7>lXa`+UoVr!#N*AtQYbQ$Ftw5}f?X{}(1n5r#p?={CpqAIc0W=D=KlR5Mp3Z;e}4oc^0zzT2O0_+C>7 zXc`nX4j9v~p2sed<>tCq^II;v$3bA7;!8l1E>bXZM1eYMiiYBHaJ zPwrr~vTKnYf09%~J{ft(*MI>d*!o>yy`^eG!`$E)L47UQ8+?M4HZYThPS}JFSoQ<> z>o7>vN0ID+WvdaCY9>UiF6h}NRZs)YDPDp;^Q@thTnA#>a7=X;YzgH7&h>edp&s9o z{=udKu*cipr|n>7psm|IZT%5`zmu0&Yri(?8QIZg?fuCCt3K|lHPYX%zRKjB$8wU< zsD}MlH<$@o(-^?fTI;WtbeyCmYq?zss;?5aiG76E=r|KQQca@{XX4mY`A#dSf2?EP z3~V||j(UbwN+!2Kfo+hs8$s^b;EYCmChQTGkk*YKy3?u@chOuoGq-Uf^ZZT-M*9e5y(=F4~VV8u9UNKHt&FPK3gd-Sp-XYr<7Nv&kb2 zp11aZ@&`TGHhk+IDAu3jqg9Z#`hpP$AAhGE!B1Te*@apv+3ne&EX>t z%%Ls-TEZB5s<;DAaW8PkmjvKt_<{(YDgHfzqqcvKK=NWa0c*6<4h9TAhwuT1`HNiu zOF*>09b|>NgtP-L^mlnA2b2e^x~6AJsNsT@(3GKq{RjO#ddBSuqC4PIxBc02i-D!S z8{-e~ZuCq}A2kHhPOmxBm8o?f{_^$U;YUxamFk=62GX+EZ=|03X?+RA(*-Nsr!oNy zc-UWh^Z|$ZdX`p30rPiBLD!{4px;#5YEe#bzroFE-_@eugm3Gy#0}^F->*sPzN@d-{SPntL z9QqzTz-4W^AROunX&+3={Ddx#o0vr~;Q{w@_=D6LBTY%F0{k6je{ey-p*36)Icr*e zt!;>%t&bIWFpo;;W*P-^=B#uj5f`Rr&U|(EKlrvhSk*bibw6SAgTb=4UZ@i6t-*t* zmaUT`Ntfi@lrDx)*w<+}#;!?htcIqe%G(;Uv7C2+BUV=Y60NFXJMpbcJ-E}l;69J- zcX|My5`HMp5>U?FxVkZdOiAMvE@X!ksKS{O)1QEmvHMx6LH%Xii6#Z8zZ`eR!^}wP zFCB;nyvpm{&}ZV$v;sxa=+AJAF&SEK5ZqBo=3`JhgZjw3F-~#j5|=gvKl5XB95XXu zXp+q&7?#d}$XPSgh*WSeq00^D95d4)>C8NE&U=FBhK_mXnIkhc-ytmy$GrYTe-A{) zMxtC5V6T0Ej03T~PG;YYK zV0Qy2$0v?*;NYmRJvS-&ZmiG32iwp4`F7$yTm|`PzGr?Q^ztD>7;ve2&B6zrOaUq5 zCs&IJ??HP2<`ahfC*Q$jX2r*dJCOxZqrDW}F~a6JbU~zs(jGHmU_XAQ8WAZ%_5J3T zv1O~fAiT>q8q7H}ixE>*cYYE$PbQ5hWu! zH2vrR1J4?D)h%3W-((+%6!vsQe;cAE<|ripcWJphbJk^|`gYV+xT zLX{^L?$=8)M}p;LshTjSg)f-}X+6^hGqG~-aVO!#%5Ac2jS2#SzQ=Mrv38qryGsr= zT6rnwjFXfOZ<9Qa-eHOgp5P#t#PIzzNnn$ExUeU)b3IPjquJ2C=ubUvD>4G3lm)mgOXw{-d?xdxm7BSZeU%STI z?+hGyD7A(7U&Tz)|RRT)PbipzJIoWzOmap|Bug?=TbHhY_`_nSOw&V3spbXAwA)<3z=t1Bs3o?iBUdu z#bbP_DzFhgkgR87$&tCsND zt8Z#edIE0jt0pv6HMAIp?tZF7=WhIq*7nD_uv!j7X;G^s%WL%op{1%#jXZ=lo#-Kd z{euhE`1&k`zk&>rr!8f*8;W!Ekn{n6x&to6a~G}Edd5O&D7TDfKb8}IRaE5#*=V-F z!XM}q-?IKNVJ(oAz8@J}rR7gwj6{}E30f@^5Jvw#u{xYWNWDGo`n+0%;tY*tI0Ve9 zr$@{%>`7WLebs_9pak`%OENx7^{;@ExEsRw5ZCWO`VV#N6S~&a3wtFnR4P8_(kjKE0$Vh$F_KVNQ^1v7m_4;~eSX_}hh>ZzY{t5`jA;OUXQ1RF)O zoCH~}05jup?k=YNzCGPDszZeEi^g!r!TJj90`EYFal1eBwS1yK!*>|899|?HX z9pjRE`hu1~9zAvRKfvBaW43@Q+|d?kF55E|V9d4~T2q>7yw5WTdNO`TcSr1nkoSxB zYwb-GnPAuiF?z;|DXk3Aizy8>X!K_A)Y#L-Q^^`QCaR0O)&-bpb!^xC%NV1$}Y?=j?$oY6h;0E#JN%^QQW# zJG#chB&elZka@0)A^|~?ih?7i=z^t!8njhiau1)57-<&F3;KSd`~4LJs9v258mR~vQ2{6!H0-MG$W25# zGDxIs1RpMlERq&y>=M2|teeU?v}mBH?|YS#kzBf^CQX45D+{brUR<_b70a2Ht0;&y z)w(^1rCPAwAC*M*BasL#m_3Xg@l!HmF+TvAr5-ci+6gZ6?nT3hRui?Ng#s!CW?wtG z)RBEN?NGej-hO2G=Dnwr^64QpSm1oJv)wN-Zr%w!A}#HllDj1BE+^P#X3}xhgk93I zHYC;n5NS+o9w7I#2kv`@{B#c%4j*)N0Tv45gNh1L_gHGyO0rX5Fp@FNbwz$VNP0Pmu~3ic8^XluR_>lr*}elShYw?VXwqj2@3~9DGesBh zE7*DLl$=C}TLmYherSmN6$!UQ`lL4=D(GQb@C8so9V2*Dl9W5e1v@Z+Y!!~+jmX*rZ}~+NbSbCy*ut* z4Q(}f_^S#s=C}Kv(3#whcKO-Wj{dzU&yA#~Pr~U9HWrG)4s7N;{d0YPcZgj_&@Jkv zF!LSXs?HnfvUdZ3!F$+VHjN2wz~%Tg%p*|?4`2g996j@CzjWj zniNXMgCxRQw#P`?mpm|6mo0C92&}je85?lf0BY-&66C(!7t~OI zrwhVLqTYl%vc2mt(6SNX={w+JE6*ka|Kxd>78vIq*VP7iHk@$kF1Rbl``Ft4kfv|= zD}%nLsvtuny5#gqyUHEG+S)u5?(fAONmw5*^@cIe_E~>JBs$g<)CX$`iq|jzwzfK1 zyI-t_+0u=OLyf>{n`wl;x0QYU(Hu7{ar@7xSS>vgsv{W|#s9wvay`#l0n3*aKaJ>i zaW`5#kXfgEkC}0|P`vYs%x~l>A{tU>z@52uw!3rR99Vj_leQO6fyhic-OLjxB|$-V z%g_gp_sa&OzByLqI}gGe#1#dPJ7>E37QD0e6%@(k&r*TI zf%Vm)7PQEy;e8K>0b8cjqLz`_+P*g?{`YuRekJ8`)ojqxT3?k?w=;fR+t^Okz3GN| zGly%t27l{%mc$*&$A`9y9W3`cD*yh*YfH%in`_uM^oW(rk(PU~k-5f|hD$l~HrQNk zbE$sFN<6m<(uU@aKw9L-EU-c7>Xl|Mcjbm`a2H%bDfxrKf#%^%JIzGw06#?b~*KJV38ic0BeWy3Tdi_4@Pu$H0 zX>5BBba3;AZI7=8H?M7Xdg{rfqH+~)5X;slOzKxKUcl&vA6TaaZCfY#YrM20hhk*l zalxOQe4CzOC!uk{4ZLzep1-@=jnshi`DiC`XWnk%7p{-BZiBkE+Q6)4WTsL{iB#9( ze(L_adV$Wus-#vD@LBZtfC5KyWXDw<83&+^5o{J(d#an=GA5_GiZ~UijhVx@X&RqM z%b{$A8&tT4j7j?>7lqaqUGTWpaKZ0uTwC5y!O4WIiv{J2_3B7Yw-g(3N*Z=JOAnYf z=VP)uB@H{D9#InJP+c&CBH52fU#M%$P=umZm)uLJu^mKN2LYq1j2uncHV>k#jn8O$ zt=fW`UC*om_5JkBIuhXIM}#ST>aDIJ+ZA3!w+dP;Jxfg@IQ2O+os!(QQ_pNYquTV$ zmiAxYkZ0QMX9Q!Td#*>IqqLS^LH%qiM=w8M-ScU zGf<o;$4gE^5xVpbOla#Gk_MoXZzA1r)S(aB^cjY)4O7c!ZGWtOKRH4&TmzInD~!6JXZ)E49;`q0IT0L~e=aWgCkE=H>COB3 zb8tBb>yN;HRREOTqmup#YH;Yp741*nqyr{^(B8Id9r1~_zv2jd?5yhHk%@-=-C=mL z9;(fwCg*C`Et#!Ec&=Xo-u^-G|4Lez;Dj?euvVFjN3EYD@|vshGsqUCKb)HENJ~|& zG;OGYpLXk+t?i{oE@?%^p1S^MIR~bz?X$RR9AOKQIJ2{~?!tEUpdNnmr3LdNgH^{{ z+BI&82H{swLQk?B2%`9X{-MG<;7xFr4uAI@dAmK7B9DE1(Nh8`pc;cq*_a_ z6F(NfTedlACbXU@Q2bh>y(u3KU{uuvwrXTfNNKshzh5k9mcy&31HoaawL-|03;wjr zU!;NC;-sjs(8JK{SCeWpFha*~lIfkd`(ousw;Zv-+D8$KZ5C>6YAp$ltT_>%^&m`s z1t%#4rTDZs844|TV3aan>~TSYpD3Q-_SDaa(hZ>7Qo#+^V~ zl?#E3J`NAv0MtX|=~F@db1DII?t>sa$O0N6DJ}?zpY{Nz1@#`tkA*l!Z$;Y$iR1N~ zuYlL-bB_ov_7XlG%z|Dc($gqk-eC-*dak>mXJ#Hf6X}7^vv!S}O2o}P>0{NTM%;=$ zfIP~c`Q1p2p@N!hbVUWpR-|#s`Y>5s)QstZpexb*nJv;QZU27a@G{joVP$6{ zDk$N+%nyn!T>q3Zk&mv;K!05u;1P>HXmNf2iNQsO#iD+h!xo)Y!6WxT#A{ih27PP? zeB1(JelTNJc&rWm#l~B4kQf)#Q|TyHQ;+2CY=a;6vs%BB_;HBEMo|KXE7W&qh{MCk zH1&JfKYw>a#jMacBSMn5o4+3y@CL*EAY=SgC^z#$=qp0 zm}tz@ZMC6O%=i$FtD(Fo?8rsA+Z;WsoYS> z;pI6_X(eF-W9Js$ynLlDpyt7TYr_t&-vLNwUobVX^Jwt$^p&zQ#Ian6QJu+BawtVl z3^s*9(n;o15ok9qlfdtsQ3AZ%DaN*{%1Q!0IR7roHa%&~MO-ibhN*}RIa#_sHZaW) z1WT`HnaNmb25>X)u+RN`u^JhTxOr8qgHGIG*^T8vfcb(=PNr9FK@VB@rWuUMmbTd6 zhu#Fx%9Wd1#d@eEcd)J=k!yN#kN6~#`Z95FK!+)Y8GA0>oheBUAC4eFhi35lk*-?y z%1EcRdJX4Cqq%td%$#PNrU<+?V;5_KmFUK=DU0qMx}dfWjv78~hr3!!26?SH^3^es z{#I}HTTl(f-K;w)V+R*lWT}-dKGgKzCcJ${<-^a4tiiY)WYrok9LX2x%U}RzlO4BZ zfc-i_2ewk?jvYO>TBd!CsM19_S;6q^6&xA_<5WU)ts_EgvB2=jEg4n#g^+!97_Pv& zl0=d$+sw2YFh0uHV)?Q5o}J8oA~m(%j8gY-YS^BcQPqqAeE5j5xcFMIQb-l$7h177 zb16bJsU``}a1~%%fo3>KGEQ{q*O|$OI_sKY34StU`*AMA4fMJrsG=I>JBzbVpJ;7q5kNfe$IS7-2Zm6$nor?grX(aRzg1w z@Sc=2o`b!`KvXrJch`)>nEHA7a zS-tr?a^2~}^Ib-AlJPsj@2iDDGXj3!KYcO16VND8;l!=?Ji?Tm%Zt5!k9b{oRUW&i zzC>j7iraT4oT6wef1}Q~Z;C^%6dP29rW#~NV~k!v_f4$XISSysjPTJ;c}Bu!UVbif zA&%$ugo#;O0~~@EBwaxzAGv)d<(NR4z@(PHezOYKoQEtg&sB?y1t{bF;`%kxzDcJ# z=~AIR@+U`t4#zK?cHTp|Ngia88LTZ)cDDvN`8EkvvXonjFe^A zkK31gl$^FdIT-*x{obwSk{Pjmv0w9e!_1s3cY_8d_q(38uYB+N#w47VFRqc1U46($ zLl@M@+^jp(EMe(o{>^qHI2*Xw$MqPtFVZyh!iKjnK%K*9w~RNp9JmDa1NdF8=b(Y5 z-Kkc6`HsBM{JH0p?viinX;yc0eJ+aa<>q0c&-QfsPnnFMXZ@Vql6sdONGU?qerHHy z@G6E+!%6-|rL{b}A6=Vxi;pcGkyfzjlYuzvvZXZ~*CUdd&z^xw=gP_qqNTp_igQq5 zee-@6*7pZa^AkM;rkcKzm3Ogq%l?g~Zd{>NGsQbojrwYK>u;9Ldsc2B#IagjSli7+ z%DaEMMWnZ&eByGhX02R`Q``;D`;Fag*XIoduF)N>4TBf=*aOtf2#q)84R0Q?+E6iQ zaQoULhr?=v+t-*3iN`G?;-bOldx3}zHWMFZIbINJ@Z_gx@CdsxU`}Wy;Ks|fMQ&7T zs*NTWeNjqr_SA4f1c3)grC7ra-y|oy+hpazV6FGw5#g#80B+%FZv!8F^1QeCuw?b+ zG=niGK!g-?g{ZoEKHjhfhp<0CM-TA+Iy-#2`gkS`EXoa*p)hq+%9noTPj$G5%;f_O040Lf_0+7FYMil-BiPsv-xX{=*FX8Yk4gtjZWfc-~)+YFCEWM z&UmjWdE}&qxNnk4$q~WCR56WUaqs$_a&Vl|ZPDl~`<{0_iBjU=2hEi4SA7vts_z2d zS(xnjcIOU$Rkvf1Z2g|TI?e`o&U`Y%R^D3Z>~zDlmgJ3mS#lj)-jqv*r%SG$<%^4N z%Wy8bG8&kV1MlA`|DkqiEyKH**{;C}7nxr8d;MOvxCYdAy=yrz+g73UYYSJG-tAI? zb2+60Pm_<0srhgh0#uA!aF7U&eLKIlu1#D+?& zv1KnlZRE?SZ$|D+UB8Ecj|nUqEUV#gV&}}n3|77@NYFJfxTKS<+0U2UbOoeAr69ZPtDBu5$rEMqzi&r@K#{Z}|I7eX4iKa8AAY4n5u9 zZ5u_~xO{+EIrI;{NfJ1awwsBCBi@%!`%UP_Q{4bb4@{?i50E<*J0=-c$KzFjKY!O< zz|U{=1v3y^F*_79`7hU=p6MsJ#rKklDJg|DLhlWDcz+fypu@v8#%Db)zePC?skBD? zhW8ilb2as@%SE!a8C~406B1dhEX9VJv#BkU?^&){x#Vv5^2gy05V?l`#}NZJt;YM{ z_QrI?m%+1vO4$l7f9`?ou$Z~y`AuQDH}GTV?uaea=!Y%e)_Cq2OjN9%Vs)b?)u4WE zwgS>C$sEL9X@-7}o}~iZXD}&fL+jyc*M8Qa|J;}><`?!!QDW@eJgqa^u*m_avLM;; zx@SS=8h-dJlt|d`%9q*Eb6jM>g=~u^CpNPNU-mX74VI#?B+q}2cLd`&m%cP+40cab zHRwAsXmhje_xPqUb}7qwH)5i-F zCkCY*)>XJ%n4(wf0@X}-P}C1RaVxj3o(Th`tbE{eo0^}#f4m0nL_f4wJ zQ(WOjY zA7o|y4j4FdZ2ec$cL2MkQ;cB2BdoiDfN?zv&-{|$w@_^ESK@k@O4YstF2^$i*tE0E z3~8|#>jJfTI9#R~f>?WvOmw8&X2#QfvDXb$w1G&}?}5(Y2tjt!FsPy{C*b3k8n3~N z68IE0zDLk9e-(2CotKhB-`B(jcZoZWYas0Xw%Bu9B<+W0IzQyPX(_lSB8_Fl=kop% zx*#_Xkbu~IR4E2Hlbb9UK<0BaUP+m+^CH{_ad_dw+XZOx;Vs7hRAZnG?K_h}XGwTByl9dmY`WhrK~0vDBi36nS%!Ma$U1Le+a zy_z69ZH_elww(#aINm{$U{z=6_Hgv7_LAoV4#Axn5V+j#^u+3rkIng49`Z64~oLci2a$`oO|&>?GG)SlIVno?&2jujs{2W{jg+ zh#)0Te9lD1DA_s7uX1jJ_l9t!`JC(#jdU&K4TO@;(#AeLU)o+cU=U{%FaB$rvgXx% z73R#dT^ci!Df0qrTqq~0D?Vv2b>{d!lp}TQaD6*Zg!(=F@jOX%1b4({!soR>2Yl#C zW!JMt&F8n4i=2MXtrhc)sr34t`yH&4am3W~cG`zJhz;SIb zOb!?%>Ad=qrbDCZFkb}`MWLMZJXP|Jhz(ZP>XXigng3#XvbLUskc$oYGK05-zyIdQ zUU&M_N;2+p(K5;ir-BYUh1V*6=XO#LVQu%Mb#(cBwfYXTg{J_v{*DlKw~kXH6FW^_ z4&%VH(Bb$mt$pCQ(}BDjf!z4q*BHE=NGtEi5I8A>h5N*pCg=0YZ(vZ`}QB%)-Bphdq;K$ue5yHnYmQ)aVHNI z`uV&xx_u-QFKL$g$T0TF#fXQ?3x@6^jq6ZXJM!PyjL6wOdb$<3p^gk;=P(&P904>* zb!5lscdZy{rs4D(eP-6eMLFVHc!cRAlG&>xM?aYt8saF4C1q1bJbQ5Z5u9!g;!b&` z#Z%YEI!bM|1DhV-g>9d~Idj-JAdAY~p+;abG?|fJry7vSr(s#upx|_TVCj1L^(5-u zx3$%(r{#Xe5ebBx*;a|ya)COYi-igVEk3tEpX!S`%p6btAs5&TQL|v&526C;5H%{T zH-VvLG3|_eh*K1ltU@bvxleTxm27zxvghNVQGsE^Jqvu0zE|)ml_N<7_CVz=?YsMo z3XD3t1rB=RyCkWKHo|%B8qljdpnu*>xCDac)5|x`upQ{W;M6^oSGpfIVfXwUtvJRubw=hSt%eLBEgfoI|6u=ZN{oRn)u zU9tL6l6(NYv1j1qrHA9N=apngUVrwNee?40@nEF75u+W5DC_0CdWWH0n<3f#?V25w z=K~DsIKSg7M#gW=c0zG@1(9hnj|#4lq`rDS2~A`Xg0d!t_k2MpwE34MJU?7z57J6Mo>M zUqhFpBjxwD(J$<#lX<4Jrz1yz(+ukBp6Nt&`FOFBKlud5H6PZ}xuMJ9pRkD@1N@9= z8VAT3CrFwg&2SlMYam!lI<1~H!_7$_?oW4_a+ZBA_?1)tYA;*@lj5TM|Rt5rarks^#Y#wER-SWKW&T@8%OvJ1$15)VS{>eQ_ ziu8LJlo%BFlV?JO{(r9iW#@vP=Muwi<-}$C`a}PuR^JF@m+Q(EV@70Z;zALPYQ=Gt-XWru#(2S5`T{I> zczH(VEH$@fpj2n`THqG8ZU@@;2Am84+H6YEr)hRa>t)l^&ol1;%xl)?!_5RXH@*zE zi!X=CPtMf!leJG{&X@XPJ{g1gvNN1q`tZnYmN?R%cq!<4`%0kmX4mg)q-E>&YvcWi zK{C7bFBC^}MNrORRM^&&@Ruz)4a{m>?&RFeesZS7nQYzZdBW!NP6SmiO^O@&t?Dx5 zez3JCn5`KfH%j7t=@Wk0T?=YiL6nuw@z}WqH4RDuc{3 zJ|Xb`c3Z=qXvv{Vsm1xA@Zo^ByDfZpyNp15)6C(mzXRpA_3ut@7Y^_e$txL7JOB<0 zs2RojoU;abV%r`5HC_Kakq%h9jKt@&>xH&{`afv_Ki$7#wsH1=!NW#VsH%em9^do) z7P$k}k)ZEb7hgI^)}g=oxO9JNI)P^+IIr2fe)AnujEw4^`l9DT$=M6@niT2E0b4Il zhf+<#X8qeDRRo_ka!hb`fLxmCv7C{oCCJIx$ks>watt0qPU*i4TEV49jQlgr0u>^ z4g*x-X9H2fx?u+c=CS~!9?A(%;pGVE?Kv4++Rk}?87+NLo6>w;-b_~?3>lIG&!{oM zTsEprFFGRZRC_VdSK)EwyTBghDZuBAo{=%SKLVOH28qrxf1$3ATy;x-pM)Lrg!3eGI>9sIG15*Ad1%EU5oc8ux+q;qb3K`qMRC}svi+<{^{-j?J;_Qxyc_( zJ+qU0tLLcdvnAIL#hzIMB?qwyF@wrg{yuI-;H%{o8KN|Um}&ePE`M?^%X--hM&*p^ zPj=%jB|60zNK7`u^v#i# zwNVb-3SH;S=KO#X2Lh9g`_=!*OsKof)4UAI>#qUQY>|+ahPZAD_X@((Vz=9Q2@kU2O4c4mFCITgBA3>q+k*F~cO) zx;``8pyVCnki#C~%==m%25>#zHTf|vtcMF6@KEJzzp=ujLYNDmp$q znOvoy%yp80m>*_mfU4eo*Vm&xW}Iah7rbMw&?7oF^G3LmV?$s~Ay6Q3_L{IBsh716AKWK{tpVeslU?&tB&ho zG9<2eFg??Am_R;a?>Sr=R%V>$ag?#-?dj+d@eYmqF`~%>+r^%OLVjXZX5yxK*Ae7x zakRLU~%^{!s^m@P0!Cj0CY??UOr+0=Nbm2 zRv1tu?M@V23}|jo^%Z-EU=1)K?Yq9Gxm5)D5qoy8NL))h>d@Rl%bYKV(Lg-We}0v z>-}z^{yjI2<9C=z^UIdJtagxrWSqp!NUeaW*;o?1>e<&g%*Tg0S4zw^zcM0m(&~4; zlJmPL=+ymPDl4pn-#!t?) zKTt(y2~HZO*_g0eIb;!EZI;Zd%-RuK85#c?>&XMpsg7<{{fb=6F5 zr@ND0x#{K%k;k4pVY&%5m$$?1H*{XjQ5l1F*)Fe*1COzhY4OHeI}O z$>N)?SdYiyo2*1(>dgV8x+u;G9#Ior>CJbpSsYRz3AGv5a>D903U+_uVn{JZ<$B7CaTXal z9)YoXqCaQLqX-EhCI~mZZ?WqBC8(-V4v-2YjPWQ8AZhH43=x#+} z()E9`FhTqH$-#-IH=p5lW<=lb3{_sI$h>Tw{<|fBfN%CY2|T#J32M%W(q-dU&}^zB zGCG}cKa-i2FQLk0HktMQ-@Nb9SvHwz+17Jbzr(LR)SPV~pKH74PrmC8cql_5CSv>o zRmj>-F7FzF$L~J%Zh%N%sK;a$8c$aJpSVDc(Gy@D+5%?JRE-?6i1D*!^V8ok#$ZL6 z%qMfhLMDRzViD|=4Id!fdjgmjHX(|C`W<;?;>~&W&F0i3XY3jK5!SunWY_=URd-u& z7Jx}{q%EFeM6MP6n@6ajzw<1hj;P6l&S%y93LNjf2B8_3y#7;3<@_anf5Px+zX3lg zLJEV}i%q>G7fsjqOs~eLx7gzw=XOsZEn)bRhRS+7wtI3;UEK0v6f@DZz9FapeXQoQ zd-8Q~F7`+w%b5(5r=zgd$s^Q<$>EGN)|%NvBVq&$p8E5IO*H8CbpLwELuOBPn;RM9 z4Ly}9-n^E)dWQdIskRw$qg>2;21cltvC3Gv*58pgg}~4Wu;kl|E2xS{T{MZE)LhW3 zWb`7BsuR(R;}WdR9?J@ksuT9p3x1pkMzq?dA#qA#Df#B-%}_Oa@?+5rHkEc;Z_0;V z?4+tcE9p8>J>m=F-3#S3hj6?zpwJyJIeka4rc9*l9?xWC%5Lw%h zL{On-#Na4HP+>D!62;Kgj~-ud`fc4FiFkN+_{o7YVQ-9|vUaX9XAW2mwD7R@B;4Yv zG?H&iYUyav7wSty9eP2hMh)m^@&3ba1?*>lrzyr7%NW}Uu;*@1ieB$hS+jz9TB0+!|@ymk(UPk z5DHISo@|O7W@9D6v~FK{@X_CKeAU`AZuUbpekYj^rI{(zSljj?tn2R+aTHXj$LWcy zU{iqt?@zCvOk;rAi`dO|y(<&Jo8e$MlzT*hFa4h*kP`$(aT|}g+rTJppCC2x87$SD zF0g{1=aa*#U3@y_|CkPsjsYvS5xtxb2>#UljFkS#-DAY{A*}W}UBJq1iy=24Sh;OO z@%0hn%dK`Md#v^+@N-JFBq8&h*iU>oksP}tbq-jSBi4?!1Fw7oiYLs-v@1pu=oK?Jny;3O)-TS={zD$xN73_$3>A`rLpTE(Wl$6zkbb*ZWhDm}?R$sCQ@e zwY>Cu^JHRxkF{lzART^Su<_|d;vbT@38)|Ju$B+oiHPQ!476W2 zfR4{P@fmfd1=?@g(andSI3wsx4K!c7zTOG)xAGb8_bXW6m#MrC#UM4>64yIw765rW zJAQq!HkHbMK^=VkDhqf!EA)%R6J3=U z01+Zhe{v*K*7y2pl6EQT^X|0E4&HvgggQ$OQhUAFnQvO%^#u)~-s@auAv_EqIEV0I zHT%gCn?IKrensZt25QMt_G!;YU}zx*xHBg zPU{>;CbF$Hhk&t{F$FIeeIb@Mh$bm^V*xtv2Hoq-b!?Tuo>RMA45hv3(}lEZPlC;L z)2dZH449R#K0V6}+~ux=B@$S;qt|{x+6%$8fl^~{(AKDhSRZniJXo+kpjN(%?OF)O zEms-&$>CP>sKUx$uEAy@Ubo#v3QT!nm4gV%H7S1Tzf+SpOmd6FoSc1^IZx{h;En$H zUDt;!s#zHc207+pf$*)=9QyU4EsD+3ME#v9#~k=GKUsNDgl#v`9?9}23ys8 zN2hISA?ez@=Ac!tCl9;cLK24yfnUh6R<1MZC+`GiJ5bJdK&r*mS} zYjCw3NIFuwt(r0SQD2OKt#Yn7a!dOYw5$9f!^2mW_!7+lBU^RL%kyx{eB=tI@@IFrg6z+neBf4dA@ zYf){zYVKN@1(n8$bs6Hf{vNRa=--UblWG9Uc)`+F*Y%m^Pcpn>rlP1SsNU%4y;;}u zzxBo!qR9@0=RY=C$?G}!F1Y%u*F5zQGuYj5>_z9lJPmr_jIEL(hYRk0nGA>CXhwou z_h3Z*&`Y-vp!aYQua&wIV-yw$bex=p{k<}qW8v$sOj1SL)34wpv>0Og%(djLP=^L5 zHNyR#-E$#5(LK)nzVraC!(#mAToMzKi?|taI__@b+f$t_HY9d z!n#24BfD5**8&?6$5s7blT=)CW`}MR<5aSA_snEWgYteT2iCqe3Mw^3RtQUXD8>@P zdrQJ7I4t)~Ai_lg>_1@_u9Wea)H9rz;QzV!(Y5QHH53EAI;egli@EcoPRUjr>CRuE z*td?$H>sJ=XYozKd#_UkIPdGDUW4t&%KKznepA}qSsZdZ{r5}N!NTXAMy~Z809Y}Mjg=EuKkqJv_|kGMNlWpi{cZ=KeCEdv+8U39WXzOyj0jcZ z{xwK{`dGImi`RorCH6vH0QZO%H+>$=@XvM#zR?LSg0{E?VxgeD#T%ZqEYb|J5ZCJA zzymZBl50tz#?Cwea_&%}JU74H(f?_&^8Y(@S{PZ|ckZOb&+ zQ`etZ2-x`Ea`f@?9tx^z>mv~)e7BylgHg+~BH!9E&4>|kCz zG&h1LT<3oTy*}u;1+!QTP5nO-OfDI_>2+T$WJL%9?O$^?qF}A+;Pp1*Ud_V+EB}TW z&C3Ngv5h#`07n(daahLa*f6tMo* z2zHH7C%zFJ2kszmW87s%PYb$bhQwVu`j_{Mi>fynls8PuT8fT^%NuL^wOH6L%} zZg{(@2S?W8W$Exmkahl|YxWmf`_aJZ0iaSh#u@sU6*(o9&9&~J49A@ zJt0R4M?LT~7ree<%(O0c*m>CEwZmwZtf2WKZf_&ogZIqE>Q_)x4OMp+DgAvSCPIT` zNBo;7=?);%(U{yBnWV?>o7<2gH2BLpu@OgX-!yv%D*U=p3>$I5!RSG;=kbHLpTr+8 z4uuo20C(oeG}l}NU;+)s4at}TcI8hN^rWtAloNpo1!9*BHe_7pesGH%9^hb$xQIi! zq+hg9uE`KrDUUoK>HnL%OZVp%iuS_HQ4FBw=Z2l*299kcA#lXYV)ZSMGLy9>!4=hq z4YP-54jj60`Hb+6b5~5gyZ)0)}N;Y zPD$p9fcSC3wR9A4y+C-bm8dOwC;bXqk4z8ul)Rbf!SM%!a!Z|xUk14xydZGb2aePK zOI&Xp(r)1^pet}Qt-6Mds)v2bkW*FH5|#w}{%*O?ahxJNxQ1VYos)A&TYSr{OU*&* z+Z!jknSJ5v_Zu+LfX%V~kr}i;T^|{hwt5SJ-TRJP;6@|S5Suf0o<4X#=GA;uj&{Sk zc>heGwEs?xwCVnp8adSlfI(w0>4tMHf-JzyI?o$r(rZp!5}j1wNdWb`#8XD zU_5;u=9y^s%MLbFLt;(vLWD*}3P8%K!*jg$y8o;d;9m@#pA88A)}hcZb1NlzpW4S; zar(oW`j4|Rv&7J@t~)|g;nWBAF)Y1o8}=W8KgQPpRY0o0qd;Hp>ukUXBqy;e8+gSq z7IU#dRJV~lT&4+G+;^}7q8QLkRxroQhOq%s^jKyCW+Z4QEN}y(*sryG1Ed&f&egq% zQq&u+7>%@lY*0A%JJ@>yvL@#Og1R5`3T4fO&vLaYH>$3;DV*S!jiB$)>{R{u=b0)a zQ(n_HvAYfNV#+J1p=)Pe_0SAlut|3q|L)ZhmE%&q|{P5_kEXNw;@ zp$r@y<0MdgOHQ8*x|Uh$BPedLV1{DL1|rt^To~_0PUZ3}R5x3^mQuj3OmM|FnuPrd zCen2QSS-X5z{M8vzGjnShXZM4^HqnlWzR(U)0n4blf@_bq z$Bm@K%}I>8cfyzQ9)u86Y4S+=Mm7@kc8B%yf{ga-5`#${){D&;$}d9OH-ad`9Kpwr zuwC+VuaWt#IGm8cHxj$>_8BSN*;F`9j38;0m#3CrWhNykp9Ou=N<1qEP_sQ7!3w*p z)Cy)Lh;-p9h@3gvmsheIcOHY*3Nj`hl2#G}s=qgp+C;)tR>X=juU%|aVqlsHBl%Izg# z{K*lePdn4z2~d>I^>9EI-5-cxU!S1~WTV(jFKja(pAV;H1m9E^^mNp0%F$okBjH<# zjKGU>CiUUpH9m%(4$n&D;AL|&`k?6Yz({Oe9wSL}VkDg3ri`eAASOh4>ZiERzE z3iXGb*^4yp;A**euMK+3NEFD+`wfX=V|vm$e9u0lFJ;!jIVvVZ!#QuxUBJq>;f1;vgO_ zOgoISQ*V0WfI)K%Tq54o_^5M(0r{*GnPrKf*>I5feDJBZNV%*Jd_rNNCv5|t>phht zANX7ok#pHQ$maMQA5NqZTe^D0*yN51PEe;Za&4)=al-&7sNp_a*JsuxPE??G?SeHMHf&9s*y zqWf1em+E;*LP;qTlyY5xqvi7XZ1`Ea!{8{kz{l$1#E9$B(_d+H{T-YvL>O%NSk7JS z!CHFZFdM9;^-=PGD~^p>V`_~zZf(;g)9zjiUQ-{a{kTwz`R~pI>iQQP>*LNh_-EGL zddX^fy>lD>nTY3R;{jau@sGWVt@%l+u;H<}(dU~qrSA5rf($GglCSZX?L&qmuQtC2 z9(ic)aq+-KW4#9B;=o07k}U1OLlax;pqwrts0Qat7T`m%g!l3A?oxw~R$|80>DjRj zbC*6B`An{$17}MlWz+vV7Wu=bMu0hw7w1d6>`>Dq;Spgxhk3Hu)6k#}XhtLOK!0b} zf~v|B%Rw>Y&zJh4)pz=wbUM<#Qa?6 z3pXp>W+$B|#MK=*Px@7d&c$u(X82fxMu@LIE+Z>HL%LJ8>KhScy>$P`{9UYmq!;dE zYevxBsM{0wO&;Jw+_&*pynUMNl4p+d1?_};Y9@`PqgQYAVO}32cDB=xCHA1aNJ-F$pJLh zklM*W)A_i4cSpW^DhBGA6O53gL^yDqjHk8}R#y$FvmUG4`EuSSsW?Q-TK`;Y@F}_Z&;WD*puW7(r$ow| zqnmTH`Ph=3#LZk@0gXH2@Sd}w=L_o)rSi``(j5SwFYVd^?%9Fm62qp+s_W(O zpOUdSTDjjW$cRl&Gys?9-3AYk$;M>y3nNQXy}qRb;*r>e4&`zEC5r_!s7kc0!Kt^N zj;xV&=BUL9mgD%W$y!Gn^&vUQU2n-F3$b&W!-H2Zb;BW0*-A5?6=7WT^&B|#boIx& z+seFryt~KLp~K?9gBR5ItgUCb5C;%|%g?4+Z@jp=8YYc)qW)oYWj&5H`$f3(KNfXy^xa}ND&&dWdlOX)i|LI&Fk^^Wsb$Q@-xJp&# zme7jLxlUf$r*Bq7$Z1%uaQ*Pjc1f=n#SC88lXobg`bv8}JX8nnJ3EQ^+{~26PB=Zy zUix>6T^!$^=7Ub5?iJ=;p1BJ z0;{%my;*!(3lkr|0+@TNvB-K{a>8l&A+!1oSvu{)(~jid;@d8Q>A*YpgqIxTPB+w> z;`kmL#UVMbmH|o`{K-{;o;cq7vFc>vrS1Semm5rd;FgOOP;wY2Ir>@x(cCXH7o;wE z1hJS#)V%xwsxFfya{;B3&Tc-+zfCLxbND>iM>J2DUiG(Y_3s`$4!n3ygrnD6E4j7# zrB*OSP+wqX^~WZ7T3RqI#tJ_5rGOguf=qEdIO{`>7O($o{?5YfU&Z% zr{rOlPe--~?Yg`?!$0Hi+;#bJK)Vu)*ra@&NR4t5YjXP_(Q&==8{{VI*_go}(j(>Go^KQ$wMFP{#DM((9Yg0K$TIRi)3l4~lgPEMQW1w6Tf&(8`2{cz>K@ZXc z_14Y9d#hWvynR;tC%G&?8b~`FIl&YL2Q0_lD|!7-%dr_8uIYn3;U;2)ulXmp2f1+I zt~1t^J2OZ++FiLv4bv@+^glVgvFhi{3$6nzC_Fra&}*dVxa%${IxhO?TRvhcergFG@IpgE{&Bv=7pt+heM|Xrpo*sh(&W`eM-=1;F zyxH~h25Iu|85Y{9zh^j>x4tYA^_fP14S@S5yy_}QrVZ+kVA?SI(O?&>M4fQKCDlft zQdB|m0`k}k?hT*M*nn+YA%mxXVzncWzN`ZRYcG#f`pDFw<(YX74^pW+d$~SIrh<}Y z1bU7Lg5c;l5#}|yPlLkRI_xL;g!+TqLDvzOK#KD*yB=g#_qmtrAIUf_sQk>5+b~tH znY%h?8Dh$U^sQ5lbBkv_c$+duB=QRNb})A^jHbV-GRf?Y5*5z z#EOLvlZ_cW1JzaA$+eJjQUz+JffqJ1Sm^&qB*Ya9PR>}1*>5nV?&o%@0XKT?+~n%A zXsp%WJf~-+OJD0LV#7S@)mJ;h3zq(eL)v(Zt%4*x?*m6wyCqjz(jiY5LlMY$IOfASNpkfKWWK zlWARKkQJ9jeq07owZ~)wSD=xiMb{r|b;RnNjr6`gH&aj8EzwBaLEt-lwMb^Sd-h&t zW%s&AG0E4vs=LQ-JumqlbUEgoEh)S{B5buNz?tZ1XJQ`D?uiFwYa%d{9*46zk@j7a z5Y^Q#cIqIiEBt1vE)k-J;E?o+skfcy4Rk$lL296mDY?F}5ofQPhlg(qy~zi2HlGP0 zd@NK28STwIi%!bRnRgJY)gFZa$pa%0iVfb8N`6Tkfu_)0*fTwWtR9K4FB#3*$z$QM zck&!+IY9w5zavmzG4&}6BP`QC)@&aNH z{F0GJu~A-um(UJ$zI2oG_F_w`&d4VTk=PTA0Fx^9aUe1TED`PpUds5gyuLb+Qyszl zf%adq_8Md{9G37w+OhUY-WguNjy)HFr?zJb1a0M~l{aAbkX0zV7EVe_OaJzOm~F|C z8n>ynEhvn*VuD1-CUo^IGR@lq%%06D&$jp6U$`K^30WQA#X%1@WCT>{f+U*LyN({F z5B)t}PQL>uq@kje0-ML>=p?Hy;}FgXf*BbqPGs5Dso}|_$X)y-bGX(*co}7N;p~Q! z(HuQ|)(YkZUb|vu>DHB-w7NJUtJ2Nj6EsPL2JcQEhu#_o9>ezdf$wQnP0w^B+En55 zb40n!tBBK@cjY?Q{6r0fK0wc{|NDRXkN@_+{`dd$fBV;e`+xl}|DXTmzyIrh^nZW< z8vpfQ|HuFSum3TAKTG+q|M5TnU;k0QFM$HY5~6?>i}LSpT2A0{T#()r*c?z0VJ{r0 zzk+fjBVACVTbtxO(_phlf#90Ir&iTT%da`?3QOb#{9Q5B4Di!`Y$;hyP@FQBn#}^H) zkgFg1=^4GnyEYfZIGKJCSOxSA;+7eB2X|9Niwgt+ssH|#3vh=wB0a-|!RQFd zVexKivQpCFYw4vUXnFf%CCQ9Cg>E?kIi}uf2QI|JY$uYms0mx1K#X>^VP{m*(hyO; z(W30Qzr$sl?l%n~CLPn~)z<`{^kB2w=_>ZBzdL%BJOo)S|BfmWFyDN~&8DlTuHazcDvbi!!+w<()sZX>9%h8m;{w7S zAcsR`^M6{%&NJ3~ksG7P)`EiLX9X^U`sOqd=|4tW#`)f;#k=u2D z`&?nw!qHoe3YTR18h$USA<$butF~S$@|EEw^j5v9&BgDKC&#&cNAkpIx^(9R{8ga~ zMmQIjRuLpMtJgA$f~IlTiZAHIYhW310b-=5E>Sb4%$azI3+^dWkBvd1MHU7?126oh zE5=>(o2_7{h~9_md~#k-_xF|>RR8V%-ttKQ>hJ}!<6#i#f)h3z9@bFMJ%xtWs<7V0 z(CtS<7w@h?LK0GbG@=So66hTb-SKe|uKyku)+gUj*iq@$4ut{WYz$>Z=iWN!KtGdW;=RZy~SEuWQ`f&@uJRmus}EuW1tl zXKzjQ{wGhOJnC zPrgDyCCM@hhS!RseGw+b2wYViyT&5wp}76Qy4LBDxg7ifv8$<_Tg{4HZE9g)CcKWm zI2x%i4AvWLi~^scd$l~g;g`8pFsal18dZEnfIZHU99~>#DBoo{;Zu(^b%T z@Wmif4asCiD;5gm1T9LqfdZ`E9I9@1%^l0FswEe5y=iq|?UW|P%y#N4zgU$Q7!T1? zt0LR5*RnT}yly<-2ifO_W`o<=w!TmGGh1$YdW2#TLsy&W-XxU?3P#XJ_&sxjS=!V< z@6|c@yL)?xGvPLJ2woYB>a?da)o0|1QTkT0L-{G|iw(X?1azMdnbH7|8t&+dxMajUAAZQzu4gT96{WW*iXcLP zA)ZBUB9wHWytId{uu4vSL8Odp+MV?Yf9j(-*QQoDWQp_sq78kSga+#}<;sM@yPR#nx?>0U$O9bFH2YEGRw^dj-|U3lR0C&U zN&=}BOtGeRYodb+OzWuLW0zQnwH@qYT~muF49!I=#iw%@LsYapbzc&=AFu7ZhJjI!B=?st_#B#7)fI_|*^+6+}Uwz z?I^Y$s$r8Hng51F(F~x+T_Ce+V%ob{Bli3 z$U^JwPwt;JyV}(5-rU30mG+ULt}e)6kmCZmM2mP1e+47+O>3E_{ZDJQT8`j%dkoZ0 z81erYna<5(dUOf2vkOlA6|BsXqa~Q!;-hLM$aMxy_c=``B0M$>ANaJtf)bh#O-iLWdOSL; zl+5i&7YYh`eAu{U2oC$(vp5yd(oou$FFEnDM^}{Z!7)G%jqGD@6ySNCy>+7+7 zbHq(Oq-OfT&jpoMQgm@s!HfW8CNoD#rejnGm73X5n_3DFng)OQbWiJX0&!E?@S?}# zK`9AAi?_pE(Cc%*EhQYrOg;OP`{(`{MR%B?)JK#8PH3B0x(j-o&YE5}6*n0~N>OAy zdel{lb?$z*2=~!)RDQ)A<~UC4)zfe%DPe(2jUIo9rctoHaP&_FGeR7OyF0d4nY?~- z^-1h=Pfgn*G@{E4J!Sg-z&0;GAo7x`!K);Vsa|Qd{JgqhC6Ly4j0`B3eEl+N!HO6} z>B9wt)ape~hn+cPx2gbUT3Y-UmrQS){&su$uPKTz-xU%ZXE?F9yLg`G8Q1O=iShL^73TqTExgA-Jfv=Bz7dh&=vKIU9zaz zwc21(nr^8+wh|2vIZ4y2n(b_&MXVVpNb~G=o#8|~8q7!_X>Dk#FYH@?3Y0qJr=t}Y zMBv%+6}{L#q9qI5OFoFk1(Azxx<9*!Q(>V}Gy3+ir23PL>hM)6!^BA_unrcZaUCBdrI(bN(GIRbIcIGgEkJAs6{i0ej11%51%X!Y?##V> z{L%;8Y3b>{;iOGP?{zZcp4xcggnNu)GP)AKCFz=%iCz)?X{07TAx0>gVoj-%ixsR^FTf|}`|x(kBd z#Z^>$*_Y-eu;1Dtx*IO8CFp>XTO5RB@GiiAZ%;BkqQxHJN4BXNdeNJd~&P4kSz(c}1TY**R-@=4l(Tlzy5Z@WljA zlCOxhR7d?nh__m*{f-##b`NodX*zAm($JWh1Vfqxy)#QE2)!Qm%!`>p!SSq;@v+c5 zqcx|wz=~(nGDdzTHOv1Gcd-|FK)Yqx(qX8OlIa5Upb>pu)a9uvZI?{P>np;O>(1E8 za%*`-)Suo9@fG7yROv#}#L^Q0;g-9g`GU~fr2E086zng2jZW=YlexL1CU(pPBXQKr zC3(V-u8Sm@!Dvi5dAPeYvwm}hsinO}|7yO&Q+4^mAcx(yYKw#?$_3RmoQUanLHm=N z8wD7`&$*|-TUG2iQmrje0t|me!HgIui4mz=UF8X4v7&ZDt<|Eh^|?ENR1s7J1vY^ zCQ#Pc>j8>9!}3mZjVb_vW_ykvP8NxcUXR=*{Tk~1%Y&`C-W|w|Wl2|Hqc9JfD>+@; zU)Q*RpQzE#VEvf*@A~K$@B$U{*J_!EA80+V3Xjbnl{|plVOuSuS@HbzuA`Z*ZXVyT ztOjW!k9MtkL+#AtkJgvbzgQir8kNT%FDSr!2j9CI(R(b7nlo?%t>-+%oQ-}+QGwLR zu!|ICab&x7!W<)c&^41sF3?>QVnon`H9)v^tg+}L!ms04v@H zKr8ut|4A+}x~B^wD&IroG;e-GQ*HobyB;+O)LRc{0ty0K>EkGzI@%3;b-@m&8DC?T zo*X->(}8Q@Q!a4YoM(_Khgdu7V`1Q_mt1rVJHDt1K+Pj?9&~BP38Sg-n-@!Ix?S zAgb3Ujpb9rJfN`(tf*$7_5vD#H3c=w0N?a_SS61?3c*Q?v~WM=h^7f0tv2uZ$5r?% z*xs+?DK7v&TG8=qVs)}Dg$J2xBw~E;`hCHj)+LvVlAkKbl<=;h$i;wR>RV#FDeRhx zw2D4LvwJIGg%M(?N?VZb%579ZzV6m6=b+9qq9-q>G}ByJ&v=*Rdie6E9X{iJys2=-4*Ap zZqEw)0mrRvYq6>rvQt5GS35^KZ`;sge@mV{5*!AVv9tzbN!~`SRlR#~w1+NQahB3k z>eMas5~ChfI%gVk_1MQ3s2-o&hV0?jUvYLEZpg|cWW!hVFqHU$X)#%n5|r9(`ttrFi1HT^&oiPZ-CSEc<^nK6{PGIIT$)=e1%RT-7ZA2x~u}s!?%- zvzuA4)rv!$y)`oWR^ScISrHFf#`F3PD}G$pDvosPQ5|bH8z~mku7VmT`|1LRpR3t9 z+uL$MY+6$Tr?=(N+=p63+93@UZc`P9zG=I(D(TiXt6QC#datS!6uw$2wWcr@*<(dj zjNq_}uZUcEKJ@8TVdJbTrN#90@9Lj1f?-rX>`)_?E!vw&KU^0G0Z? zI(jawoVCv{99JGJvjne$ssMVxP7&V`6f2tkeOei59v3q(boEmY|Fo!XfP$Kd$ogwq zt=)t$;YzGHeVV7jGie1TP7s~iZ$<|XCIpw7+Cop=FQ*{ns(sfp9z?Q-(g(hM`hJM%D<8lWd#(Sw(GXzId*pu@UONp*qAuk`y*ju17fUAOAFOE~$OJwetp zZ_Mi3m1q#Di9nh@FrPY-_)MaZE%#5xvUwRr{TQO9YEk{ zB&p$3Sce>$uv2KqoLcdx6U^A;Q-M9TA6$>9k$}fDozTc$a#RQ}q-AGd2K0DM+v72%!hygG(^X%-{2imQZq+96P?^9CNP&e=nUa7WBA zjeSw4;WX{|jvXgp-;iwOQtPHkT8dJ%pr9BdDt}f5qSk}bt%@iscP_CNy1>I2L@vUI zXa$6=XWIR(VH#S8_fZ;qj3knZHh1@SqZvC9B%&j3_XRT=?oYV=0pw!*$y>X3F^Ke6 z5^yD-*8pH@87#o&^$Ql^(X zF;;|huhUV^MIqVns(TM9AxA8uUY2;{%X@@^7S{YCx!W*1v^fKBe0iQAJKn-?zP?Nd zuzbTdV!6c~LFwSdXPKNYydl4WFq3Oi1F_uZcs?@_%aKSxPbskrd5I%tS)bK+1V&MC zre8q-CA=CfF!-5C&IQJ$Hx2QHl(xD+=a5zX4Bqf@9Z5^)n-Prs9q2x)2d< zl}L77-Ysb{eP(?>VH-X`3D{FtI#{xjcr&Xu$bhZ&zfBj^J97dRBd71gG3T+pttp}Umy5!_4CPOWX=EYAcvZ+;DiNEE6Wb*D|xLeGh@qIsZ9x(_SYZ^ zE|tfLT9LHD-WPqTO*$<5QrIlyX>e{|o%(kP!rZfbMT~R#sw#l;b~(r(1f;x)p)A`= z)VF1vm9?m96e4|t^&UO6mWYUz82QZO&7FZawO{bKxU2N0Fq^Np@7fpas1idB(QpB- zzSyXsN49`!YWR@0MbYG2%QQ1;U!FuDooeVh8ZjVS(Wd9mlMvIcv)}HSNZ3#5!8|KV zF6mcZYw_+rC@apbf`7%)#u_xh?)xOD7lStCwN1;=4iKuB*gaB{@r#Y*I`G#Sac=8c zbocxsz*R3g(@y5@b@XZkT-H79wh;WSf~m#S-oqChp9^eGW)f{9C)J8oGta7eZzTbv z>RcmSM$=WyFqElppdCHILlvpDjZ0UJfhiDBvhIvhKU$Y|xXP?1lCY(|!))(7lIo6# zvi@`+V(y6VQIXSnU{1d1&PWqN=EVsgJ9S8!t@NUrH5e*@0p#+tfiYvoHpy0 z<^l%;PnjWu>;x;nZED6Cb*4r2Z7&fUonqDclf zT;w#>6({^(T1}9cKo=|x?~|YbVP6}PGaHNFRZx|>R2s*027 zdbRpQ&osT(=|Suv6o`XO`1dJi3uHpo0RdT{_rHwTPz$_cPeMu&4P%}%9$S-Q}jgpEgYg;jT(^m%llkW!EvjkJ~blm#YIf+Nt6`B!bBH;#}7=S>ZRGjw;q8Gy9SZbPaA(Z|Yjt z;1YGB;?H#iI?4}41gg(DT?K{tQDIzgf%Es^&0R9mkg3PEX$ZdfH5&b%<%u6}^n2c8 zMFX_ek==fmXKZ;`nj|;^~{jHeMOSrFBhz|RH+#w z4S9aq`Po0KDc-|&7(G0Dq;1e6r%}?{gL_8W7yZ4y2zEQ_Dl5LB*EYB-J({ZvdW0JI zEmm?U`=hRz=1MhkWx(n5Q-WO0ckGhOh)YU8tZ*tA4l|7X`M1Y?cdO6qHJR9ipy9l=Vivt)xq)U$HC3WKt&b;13) zo-qXXXMODYjYQQxjcygRSkl*UNzdFmYDS45dVO*@L=DT(^npiI3z|0eQGD>|%M~P3 zne0n#)SCO99$EtuF^=k}BTfX{1v7Rt%O})Y>4zgi;DtVH^nV&fYEj@=%r`E z`u(X^cyp@XY6WS(us{vYPP^^Z#uaJpt=z_n&}Pp+cs7rxtO{M zQ;QyYnczHP=zw^(ET%Db1fRMhRvLjG8$6p1GSlh?M`nr4X1-;_F!N(i(6xVhlM{i2 zA)kn}QfJJsMtH}N>=-k#mo+##oknK4AR>enr`D#k8Wb};wwWxc8WXd`(MaPKJUmXd z$3tTS##;(Px12czKNn==g_Mk$;4FD58+@Tbg6JzUW2x44_(JWa^aV)}?Pk>xpU`iL zRBqaSs&7e8yS7DUhJIGSnHIa^-sLjjW!9I>Tp09jnD?J87a$q#L676eHvv)*dXx`54G|Kj70xl^sx+Bb3wG~mIk4Yao#EE9or@xzTID&t!i6== zV515!8?+*AUlB2vqEKy2FaFGI0NCx`ACga4u%#TGaNwyzG9?S5JzP+OKtQ7iCd4YL zBta9~3EO;?O@n;NI*?31WBuW#YP2fq3h5~@EBfFr>kaIRhKlAEGL&W zo#aU0n)G0DNqn$xIblVixHE=dZP-C`9{sX=Ms(>#ckn88EgUD)t!u8qm^vRGmv%xS z_%!=yOkMA|JP}+VS9POx^?S#|>48g;IR5|;8}h!|z|P^&zb`miIu-Jc%&nJVs)Mb$ zJ(R2+_S*>6l)Q8DxFB7IQw1eF7|V5*n(P{?v!oZL`j!)LdQQ;}6L2IK-73hK$L)L4 zA6KJbCI?|x!H%X+HKYc2J(DB<3R)&9;wb1KbS@9tvVX)bJ<$UFYf07`m!#RYt4n*P zS#qcM7#bpy?%-oy4=Z#xA9Gk0`j`8=a3#Nj8tbmB7~uicajnCg?1&jPYknSXa_n_v zST*(V)XUBmRrrGRAWRp`ux%VQE2vw})-z}1ch(Ny!RtK!44>7*N3Om>YQFyV_=>!+ z%XRJ=xtaXxn0i*rR41%&PJ4D-veTubTF;lWQ*sGA&QYc3GE{49oD4*4E(pZm&?h?k z5B8@cmugrv`4A*i6+}kF2pvXg14)|XP-g@@@31hJs|j{kl*_YW_mYGTisI zkV3VYg~%7oq@m&J*g>ge(m7pGBNkXT)J}_Xa}wpENS0c?RaF&i z9rVL2(qU8faYv8+?Yaitx#=w!_r!VFVM9L8$*zN>$#&PScC``2HA6B&*ZSSvdTBQb zP+i<3T4L&g*g+NL+QG1-FdI*2Fe;sU^yp=LFIMp=;6oH8WRj_tDn6BA|mf#1u~jc z%K=z{G#06S{N#*&)WTkal2S~Wy_!!FM*_-FyG${m3u-2A>5_w|Op7{P01r^N*OsH7 zJz23#iWA5m3rS7KqXl=QF*TG|Q>yZ0G_KCnL6j5t1-)o2j71Y0yf^_*n5uPJp%hxK zBfn^U@LZj=HnKbVRd+1$BIE2e)q$-wziuP!#NXL7k?3*_zZGdbHr|fxp^klFBS7|2 z6k8z(#INK;lpd>Sajq6o)=zeScPcp@ye-Z@sQYV>iD}b8U}3*U=-!|gPlMCDN+Pi^ zJz%}H9;tOyW8^a*noN!({A_sZFq_yttc99p6X_#rBbkKNNPUZOR+#3B9gn&t4HE4Z5CwM{hl^tf==)Ffa(^zIMt}kn5%VV28M0L|B;%@pYM2# ziGIAVK-x>i?LeYN#ynPlqp?+St-v@Mhm}CL^hhd18$gd-Y+*(i^(c3JM4pWr2_MN<1Id9s@lSC{hS9hsa6=my z+ST|PF>*&&)N~mg)lm%t3$N7Rg0%1EJisL7v!C0Fa0Le*>upHbX0x|mxFs~htvAC> zXc`0LQ4fM@Am@hE8=;H`!ke3rNu%nyJ$U!z@*S-QJa@R#5hfgQpAEzw8}8TD0kZ|y z!dBavOXzVf4Fn^5X*%kFpF$1Awf(yG__G~ZqL+h;?N}eb-R_}@Hs3SiAXMX~$ilSL&3oBVCcSbr2k{4-XfPkI z)-Sz%q-aI62%7XmdLYUb5;uAV^@)CR zz{jqo=hH(*D8K$3P9Sza`psAG8X|1(bJxxEZN>#7z&^tTGvVNR$Xs!xR4X%*ulb?t zOKvVzvC^YD)$Ub8J<=izFS{9ce1Ulwn#C|N4ass_g@bSOoakfgwUQBgX}3TGa9itH zE|_Q8iirpBUSWEc&1Wzti(RgI&+&2~H8A2gYz7 zvCz?2;L`@r9|Ix24kqlrW%?|vG!+9L?RvGe0S~s0pyI3=bXaSD)dCHFb%Z}iw);|K zxP$S#jyvK98WC+GjKdhg`ld7&1L>Hp0IPx;zMg9N_W+}1ToA{{UR}cqcadMShP}zF zH`%@%Iijv=&8}i;z=Q5;fyk<_7+#+=66u}R$;%h?NCfQ{?=>(CT5OoB*>E~_b{~;q zN=v~_*&<-XfV>icRlfe*eS zIH>)I8D8?CMUGTlf^dI&Rf4|lu+(E$kG=o+o*Ay&?QgKcQR1Y>fS8O8rQrF7uW#?%H}LrcJkuRr8x1A(*c;h7mo1tZNvu~Y-0wDkd#4S1JzM%Orl zZ`cTKb?uACmD`3K{#dm zV|5!iH3q$-t{_{DF;Qy8@r!u*hm+M77QEPGPDri2)Ey_B3K5BUSkOF3#K%6FYEko? zr;mxWh{l>!T`~M3vf}*Ypn2mIoiMs*M@nhP=uEO)ZW)9m9npD<_{ZaGzuWM(?sO|li6Np7fJC6>7E zD|Q46sCz(PYz+MBYI;rBhQ3mZ@Bu}HP7)m3zQaDp_Bh?6TLqEEk!$lL&7_x$se(We z9Nq9c9X@{ZiN)NXOi$Pm0i_7sNz0fGm)mq z3cjWULSdyCh{kpz6t+Lx&O|J%y)znVYuJKa%z8E%9c!RRQNeb;Bw0Y`nh7=21v8wZ z({}*7Yqd#rhK)ekPk!o1Np`Pw7U7%qd;E11d5s)k;5zEH zRJy>(6Zr%u;xB!cQk&b1n4cjzuykEtlcAFD{6T1>_iI0M1WZ(Ol#!5*w9_4F&pbMG<9C}=lrYL`con)gLy2!5-OdNX33AQtB5y${P z&hsh}co=@hdCcY=eye%D21u6ZhE0Od`R@aG0#!!>>CN-k5l}d0j1w22a){PC-#^+o!~LP8m14}F1g24ZPkaBf;HK9WoDD|bEN4&dc0A|_>1%UvaMwJZE% zmGD7~c*G1(2p8HF?$1DSEF_eE@4S!u9A=mB&bG&n#xXP9h=TptPfjP&OTK7?Ultnk9K9^p! z^@xm8h~a7x=B|U&LelJN*qUC9P-7UuEqOea#NKeg|QMyE-D-K69NenDOhnL%&`8t6$;-S<;wl^@&^v%Z)mwylnoy z2p+fRpH+Yq)Vi$hfR*0*G!MF~CmvSoP!G-YEY}eF_R{~wev&mT2d9L{eiseyhQ9J+ zF%P)Ne)yifh5bdiqeW}DfgF;t30Sq&72Qyfe2V*f)})fs%U&Ar<11ncc2^PFu~w_jw8Pe0 z)g3FRbyF25=q}vBaMjq`rJ*%&M6}Uxs=xqoaj-6j93jeYNKO>A78`~fN$!#pNvKzc z0oQ5_)%-Qeh!eWya1Ls_0w&!t7ur)vZ|*%%+Y3Zm{2SK?I-cEs*6_ zcZk}0trDyrRbzW)<}u9%usa27nyRef`qAfGwZE>PpFF$~%Z|59|CB2tFz=6(Yyt9a z4}0+=1LvoF5NoxYJW=upl6MWlg_Xiq3$1TUgm+<*SU|;F4^yLVhG(_9CmFP^PeN`_ zC8FdVZlw1{>WuZim)&S#epyP)t7TaQ!+G7KuR+lJM0+hH>a_!R`HDE#X_(@4Yn~=; zi7QhSRDan`bKwsIjrlAk^r+RHZYte0fV+Ixu!0nmzAb+yAPtBYc;;s*rY1MVA zSU3a>wDv<7hWS^F2HEf6{W+&g81@yB&IJ^#uX3lj^m?1OK^ePb6EM+XXco8N<&A ziYafT$uV{O_fW>SICn3wOsOlnr{IZ349my9Kz21KrrLvfSg&8jvPNkTAf2+&;&VZbWUpHduPx)OrwX8TK0cfU;weKMhVO|O=cqKY z8f(Ikc}gwU61Nj+w%i+7!F(2x9I>XVAPwbKGk1?bdaYkO$-iZ!SbIbwu;U9N)1aO= z66#icedv^e7p*NzdoiQ!F2imqk>hRVEj5f_uwZ^KpZ-RgQX`23*x5Wr?hCoxK1YUs zVB;JaIfGqLt+(o&xXTLckp|*MZc;35iWcL_)ww-(HTQmx z(A2IcjL_KqM9lohKKCm~u!81o1prk*s=pM^u`lYonO?S{*PL-!5ewC?V1;U0)$F9i z&=g~8Q!^|`E^!)^m=&398 zPXZ9FJ#hLTu1etqw>qOn?+7Eg;j47WRr4*GCqfevCcJrUY-=uz!D|W*4=r z8XE?^^60`F<~bki_2Mnl1$}OIOomqG0_8k!) zxuYOL2RyKL0@?I=PMDsjKhGIq)6;vMnW5mmAV}SgFZdHivzcRu|7&G|G0ptvQIIjX z8iqZ&&@_QyZL`+jTo7@PI#_IGM70gxSFCvN;ew1T)jS5VRKxO z0Bh^R6t#Pa706?=m)wo?eR_%0dpu;lVNM%nzG@CJ)$p59)|RzMf@{k5OsyU;{6%JF zU4iqx_u}PCfKJC1wDeL)WbMVMA{DDax!j= zmEy3VqqO!g91X_fdifOuT9ilBy*1MVR<%J$>#k6REhuk~?^*~pv58kyF?GZ>K&8D5saP2R9Wju6vgG z$&P@Zz9E1C+QN1OxX44lLGfx$SqcysT_4=uPwv52srgDrsM(19rB;|)tRm4hYO|(V zv99qXBNB5p_U{cTKGSn=`0a%Wl4Nq&82~n`F z4VqY!-grF0%fBCm13aJl^!NLvD>ClW12WPxwlkuJ>-G2jfQM9JYXm*aAS&9**7FZ)!VYQ+Sz;SvtWl;l7K z$yl~QZQ*DiUC@HQOy=wjC$iH$YABru08~Kn3DR6oCiZRG z^G=T{m*p@^b-!m1QZIj>^sOlh_xCj-IZEXRJK)-Ek3M}$`NHgEITTCzHcu&`ViZ;R z`=Fl4{@?bT?Y|S>u=T_eEFwIj{p1yIZ8@S4Wa~U&=5z}<>kk60+vD;-r8=#N+;<0o z)(sekNyhe6llZm|bUp3aJW)Ncf(TK`j>86~px zqOB)8qbhA_^{tZQFe_WyLD2PMZ~9H0lB<<2_>GwM06|VMu?gN>pCic5re7=)PJSK_ zJQl#bX4qsniy5R)N(kC%8#%?_k@sz_03x^)1tXipP?u&_CbN2LQh&r6|ns-q`AN4WnARwR-Xyyd{Iv#&0G>UZ8O z=)d*agGMIa12c~mCN-jr&@O!ai7%{iSsBIkptF7@Em&Z5OO5;pZc@G3s)h=JUqtYj z!!UZ=dtK!*Wr30%98&4ph~t8sfEwJj1zJuflT+JFPIJ9lTN%geI?~>^e1*gJwF@5@ zeyWXke%D?S7N}c#P&{lurQ0p(CA0Q`E4V{@M0>|K9G3}J%>u;k;UM`H)W{g7;ax$< z@aG}$pa*-SnhuQ8-_JDGAJpZqAc7ZbNrD|T6+kv6#JX=PcLAsy-yHk@cN#M={Lse);YUoeJou!e*#owXxj!0=Q-N^q^8%~#ad=z3}< zg_Z^2fI`7oz@^UHk z>yK6ddzMXdLvnNH3r2KcdD;ePNiJz-Zz>2ry5SpE2EppBT11{Kp27}LT<^i~5VTdE zF9@5DjN(n(Cu}}3Gubt*g^fTrgbv^#(^{NAXlXnkelUQv`TjtP7he#`wlz!v;qn34 z9o1JHNPNX;Ny6!ZnZZjghzvaO7C0R~evg9~?6sf$lOflRx!3yIlGLd91H^&R+a*J= zO+cjHoPiYbDu1&-%XoO&%8#z6E_+)nbz^H}p*!tz9{Gc=(CQUX^D8((Dd=^t#rbf1 zlwi;HH}*q!B!rN{14GliZl!}*-B}(D2=v#U)>7Mg&!l!+^3G(&+7E#WYLDi}@X^QL zeEM$bE$AxP0ZCL14C&?_8cB#09Zzrfz@cc0GRl*S0v(BG*fJIH-7`Kzoy_AzT=2+6F5hpMX>x~S8jawZ>yDwek=Mlx&AY;X{|sI^}CXpWh2aVGK& zaZ*!OmV?kmAB{Dd5h79@1ERh`G^5vDwPI$bMLl!|MU2O?*>j824j(2DHJnKGziF+n|8i4)(GRU9+?Zf&>Ck%{u;To591hF!PIC+l%hSmQdb6Y2z%K+D#$b= zQp3QEYhEm=7KmI4(ib*kes|RzDyYFzHzkKXM1Zx!1f6V!P8_pDf_CYb2oS76%dUbc z7(KK-)mdza74gU+EA4z%8^j2%XQ95dFvkzQ$-FhK5#Tqy3w9NR!NlD+!^9>G!B37f z#Yf@^l4or=vwy*N@T;(bCr;xOr=0o?Cop92U;Rd=QIqIH7WvBRH;k)ca_5?{ZKq14 zWvwb;vVNK878^nZxtxYOW729_p$pOAQsLw_e>}!=g~!?iw)h?u2MYa9ZJ^Rste!i( z9w!P7eJC-tekB822jt>-tAc*2P~_*y#jlcjN(xKm?L8C3@a5{wX@%C-MEudiRH5E@ z;_>et=q>gtBHs-A?37DQ5Zi(b<=eqw=(;wJ&8$cF|E7@cZ`iXc$RdX4B(6uw1u3}L zyKAq36CaCmizvmX`~>B{hEjXu~@DuV3B4SD$;GfE^7IIr&1Y?t3gL#TIleyF~O|eGr0AQaU^2hFy@$ojvP zIKWN*pFu60w+M-LaGM(6f-e&L4^s(SiQ$l8Dq)d8=-q&;wB4Jv_h6J^$Mza=A-uUq zd=foBOe}2h&fv5AaKAIWi;0CJm8+^dVfQb*euT4@qn#Anm+Xu=fgR65agOwD@y+K9 z^RYS()*_Rw@c*@fEQ*cU38vwQ1b%orc9Z?QoiB`}DK|eZ1L&C9)+*>^zn&n|AV`CG zY@OCbAN{uhDEy5lIqS3!2xVGzuuoTMty5Sg4+|7$j_7Iaty=`#_lZ6%HM+j!|{ zcV=Ckm-mx7SI2vKk5t7RR4Yu~>Udym?GNFWOzl?}a*PAAy zt+MKwS&6vfF=?u?x9r8~-M#9)r#n@f3?Q*S*{T~ZB39iDOQbywY|DyVrW${Qvwrs@ z?e8InWNK7Xp>h>i$z?(GEEAg!d!QvpmMdCynCMg^gj*ajr&i5)`EPit8%bDNfiQKp z4UWeh+?GrMRe=tTIK)QzX0XKVI~nE3yr*=d*Zf%t{rv7{qG$G*x{O6t*DQ)Lvx%c& zV$i_B>Hi&h#Jc3=_PLQIT3JH1LhA47Qyz^T6)xM0hi3*+>yIB_ ztr;51sD7poE%(I7^r6FuGQMdKvmrGbz&=gepf?@)*%#Y}9C(_0)Di*nj2)l%LlgSR zOUGO$`HVO{wr=(?7xMNM2q~>faOTR2OvX!Q1<1rVT%PB3~Pk0(U zgC_n!W56!&G_LF@xa6cFYJQPy-uf(S`z=}?v0JhiEvW#Yk)IdXT0tW}9DX7>+$-^a z*vYvh!hNSTPa5e#UKuO2`oG!f+bZ9E236wZ%5`QYD3w^l1IgMD1ZNXD8#}E`5zWFx zm`<9kj{6OYnZXwoWbwmsUKCq~g7R4_kI-C@nKjc<%@hOVO;Uw=mg6?IE)D`#u0r65 zcPt9^elWndi+*4_O*^vn|M3}xz{U!8_i+(UOr2?G17G{};7GB&B9Q{ya$+LWlKhk7 z6JhwZFWD&>vj3A?CU2tHt?n`tNBd&K9z|D2xC*qe28wsBA(c0mFCNWD)zGqZZ|%u2 z&#R#jet9HqUv-EAm0f1$Y!^q=z|lSuX57B^T|}$WcKQ^^XSLMmKK&o~gvPqS?_$d~ zo6=Tn8*GV=)}Lro+Sk7%8s(#ViDTHO|9#pgyBIToYE!8n+tMS2?qO4Y%H+DlE()7iaF6q=wD+|+)+P2Ln z{btzolwxHtgMLr1DLZL?|DRg%;PD%1-hDZqT}*V!jg^Tr%@T_~DSyZj8$Hsw#y|jV99VA~;s6{2Rw+j68@@MP!9JrvERn2>4TC+&E`ZLP0WPt(*HPMl!uJQ~c&ROui*P;zl&@apA)~>W7O9OT!EvhLNk5r61=%$xfJ(G%Hc(6%+RWRJt%zjlZE%}uwc!rj;3PAJKIaO^rGli7 ztvlhSBiyvXXQoY-iHlnM3}ffHxwS8%mH1i7cx+$~#nja~;E3DSF-Mh^NFlW(W(ew_ z7#d=?to^*h(cp4$&LasR^W{F%WY#K<=1)-tT5|Bu-$4hgpnvo&D_nclmM`2Uu3U3p|fa_>l zG1IVEO}W;#%)n0UF%t_19X@McCn7%74LAQO_kkACn}xHK352hig!zNn)-CaT`APWn za}jdZT1L|Dw%Did~pmX)i(BF~1eo5@^ z$NuT+jLL@;LEbcVHNe7$LvK3e9#P_4jsOa`4&QZqQowz>KDZre6#R|rFVIX}`FpO$ z^kFfBv6LwaEwn(+QRXTZ(wj>)tm~$F=1}d$@x<|4UAev|%WVVuv1fxm>#E5%&DQ-U zm#l(AclY!}>hcw-3iR;(MRHSK4tR+aYAOp%9eim_lsR|{yUw28aq{DNiiv}pL;iIA zj;_|2-L@7qYF#}~YgLa=o^n49G0^%lMc1F;r-Q+Z`Fbxzpuz3!)(na zWvX4Rc-^9W2P6J%cQu9RusybuaTj-Zf`xJStLcswAty!MFe2?DT@Omy>Qjy6;;A>d zeu9HhFUr^4Y3*-(lf8VkQb=Q)0``Gwz=&jtzZyasiqQI)TN+%Ros%o+iY zZI=14&^OZ4YKh~+;be(ias0nVIy%ygG25v?ym~co&jz8YZaqf$mWyuelRAZr_}`_nTAZ70cxc114NtMte1$268^ zeB%NN)4TK2RbDAy>A_!hw5@pHb%#L6Pu2nl-uOtI+ zh*UCmjPD6ngLzF;jid&4`?9uLy=C&r;m*-S*VhF?to zCj|ya7wq3QKkysD{%uRAZa=XN@apa}A+y>yFg`kskKUw*UqSYz-7kYJAKs7ur=`D< z?$LV`s~?fvlxz-dd&M%0rR}5?WAc`^BiW{g-%c}*`)YcN>zo>}jvFk_t7i~(t1UBm z1~dZZ4hCA@yzGN!&|BLpvMNb=L>QFzURAb6*kz~$$YU zn9k~SUWF~)n<*y_Z0R>dyup-imo!&Ll0w?-N3liz8ZMTMO1d0CZHuh03c=72f@DjZ zhVyYJHyR1SAF0Y2nDZw;NOC8Ckt`{mAglLOG%* z=tX8Ky*2V^#7uhOHeQs&|4yuJM?}ZEp=8XfhyR;A2TH5Aatt!7o^6GN?a5u09!loW z>pmvv|4{n2|KH&(!`9PF4{}*`$4^6D7h}(Sd+V*f_l&dA|HFqEzfO-c@c7t0d2(F3 z{XD$MO2%hH=cFvN+z@d|r(I69VZt#vpX0t%-3V{3Kh_xG6y?i|>Bcv`>&=R-t9Kk6 z)Rj1RHv8t-_cQD=TYWzRGNXc)tE%GC{I@RQ&D@%Gj)fp%||SajKEfMrDF=f z2xMhr6U|JV9WwyhwuUoUr-kdw&9B$s)aSzc6LY;lV_?FHu>3;Vv85C0a<3Um$`^$J zE8Hl&y7f2>>hCb*O*IW;C~-ne^QR%$r{oii4}HXR&hI--zmm?8*9ntDe8O~|nL!TkreTPB7#`{9CSyv}{UI)O= z=y~if9RNF%q_Sslq>li(O*yFaV6Nym;hQIv-vK9jZ%-UAJY{`E$U4N&tuD>&MOSRz;Ze9zvZk05yQ1tj@ez_ipY~$WK5)5gxYI^ue zlO!iL5q?^tI(v4P1WxjLpp-OKr{vH|xqNq|a1i`}dnLf&KAL{4?j+WSQY4#Vv{fHp zTCv%<;c)e$D2C4S}wr4ZpvF^MMN^uMt z(6@ea#O0C7<0mh76{AD@P!@Xt5>@%hqX)hdG7JRBkBuAg@T$j+SfvJ6CE(A^Z>#!7 ztf92PcEHb_DVO^!u;#K%b65asEU%9(KCyQGuVA63w&U|S7@y7 zodu3S8d2aJ0enjp7%+Vcj3ZuIu$*UzUC%lKWpi)w;VxfJ zibuPZ+FaFY7Tn;1K35`p^!C@D!I=w$-?%QN4l>W}<3yz#jBqsO{p6L}1;vQ};ox7H z^g*8ohkWnJjhC1GC_*^$kIPQhR~l&b>6UHwpSa38pln9Na0LZ+EhhS*tfbi0YS&_- zB%M~+_EXbEjpyyJB-Qhzyt1!wJ@8@8!5zH5CKW3GZjl2F$exZ9s&!QABLHm8i?r)t z$yg3N;Pt&GIX_wt5S95Rs7vh`Q23?R!Y6U=fdmJ=2xsB-k$i_-B^@9rXTN0E1NGF9 zMe0*)_80bRwPweWl_?DRPEILF$B-9|DjeLbgIX?cxMl|mN_rqW7H6w<0bLzL4#t`f zio+&d;<-97Q=)ks9CIi0M(MkO+JD~l86*$pFI9CV?fzU+0lD(gf^+qhAUYaqU1`A= zG<1J|nPU1$IKiL}b24(TNDOp|A78U?I7Loolp=vZM?!$*xJ>;Y6ul&z=zxHE7N~hp zOD@W)llr0L{sZQRarJ;R!XwR-%o$--<5mYmmO~Qwm5Io*xssR9`WnuDawNe1^j&A* zhZyqzlSiQ0n&e0f&9lXsLGMu1))}nwe6ba=A0%}B$#xD(7bJvBXF5uW``?n&gvWIY z7%hkMaUVR}zzw4I`pLMH#+~W>cBb8KQ+7rRsvq`@O}k50lyvnO>Lf^TYsBv4_hQpw z*YH`KPd_Dj=_J<|vd{?uyX;awIc$8IE>Mpq<}RVo9gwhcwXgAg5edSh{!e!9%?2#S zPpm=bgCQ~q0z3H;2S8xbNQT6jHf71dHG#?a6T=I;(N*L7!hE?Ymg1i5e0HfBU%|>s zKnl>0KQTO~)F;MgKfS$;KRMo%loLOBM;>@AYCrk7qsE|ILp3D2av=4WR&@6iBDL%& zqu3ooe$=`;Lv1a5eBB-f^z#pZ)NHb5YaD@71^4;M84T6*e_#}7O&fr%Ra+tWxYkXQ zOg!=cZjFC0eW!HnH@)2aykRiK+d%A9SbSJLHVmVUc>io+u`0Sgn2Re%$#j0;qIlu~ zxYq^952i2^n%eTr%qEfp&P+qX07lCe+RC@tVc{i1=T8nU*`v#$Iy&5my|sg@r*B?x z!hb*q!T2&|A=yxWay*Yl|DW74K{R{!^mkqU$q_zHa=M=!7UQb1b~3{LV|SjQup4+XiTG zoVbnis+5wvV!R%{J_A_ve}qxd&p5zxF5D8XW@z)T>6Va?FFY!w$Bi z>cVJB2Dw4Xj;jj{n9qEC;b#P4hiTIJW~ArP5N2c3^I270&+IalkMEh^mKIiHYlasmUOpp4w&=}gpqj{$Gf0qeSvCimT&;mp++mjD2!S!rO44LUCrc#bV+V|P zkth@|1B085?S*2beW!7LFd?D76PH%t#~d8Q0p3c2X85w8MQ}s{*E(3u=CiZ{lNA9I zydTlK0tRyWwzQrT4Lw>qq$YRtmhl%yV%QYsk{lpL;?o9m*vJ?0NiLpmq-Gz$U72Bl z`x-bIB2-)dM}%C{^Tvq!tK=1^Fz!S^W?fABh(K36AxBfpuu;haP%PuPEC+od=NKsu zdfKK2Y=mCgxUTlpcC_{oW7O_a*Au2ryD#&)>wjV_m_Xg(AM895CKv#~>w6Nb3_cH7 zoQp6S2%I&VoRhEzrmb-80=UN9KyWn-W@&NXRmu@vuGWu0>kWe#zSxAyFSFK zeEyDvr2Ov0-bl$_eEbgfr>VyUc_G6C2cR~_Z1P?ACG%zFC%$Xb|0hFvxxd4x81c{S z_|r2h51u~0G%B)lkc7t8VE&!aTl8L!(Q?>Kim9pc=`<47s~rJ!64-6tzFVH|B`5Ev z9=D^brM)1OIFiKkd8eh3lH#;+q3GYB<{J`4Fy=730onwaS8-lu>gFf!AIW8&r@%anX_q8_7R2eSCe68NDjyk`OybZGx|1D?^93k z?sG~5Hq-5n;r}fNZAn2kW^;r=Q+KzX=^`o4w3YDbE&NjS-w!Z7)C{W`Gq;MVmkH{u zBPro*Rq~ANf>c;0lD*gi$J*dWwW`F24bwLiUH)Kt*!0md+E{XTUoofbbNfaf>d7Q{WO@X^Zc1lMAWTb(u&zE{wtC~UYapi>BQ}83viE_P*B&!TZ&EYgH-~co zx8jJ(An)(?8-QCO^Kp^+F#hgguvOz*VEc4_Uy7tB$gE8YCagtji zqSzNBAnZ-Ij~7%vn4`%7cDj8(4A|Wbn&i$6Seh;2{8E6W89TzB1F)># zaEt*gnJop}UtoC;%L5;mK5P=z4n#Y95#=Zae9QQ~N-?6&wOs+7^%#ZrjFdukN$%;D zXq59z$hpqw<;&nOwj;9)sTiPuwi$-fhzNOpCLpNlxkewLnv4`+V_|9cUdLeoQ+p(r zlAIhQ-0NV>c3(D%d9vo!)s+8I;7*Ga9h?ED`+jCvVFRYT%KPKm>V(X^9$Tc!*HBm z@HrGcOEU|~3R^ytTeMPMUz)`z2K;^M#a4hpm||{zNh(B7{!b2eTApTR`AnBgq|=1a z$`OjJu6#io@bT{w1o-&C6IP>3K`_aLtfuqXB`~{KpC$ov*LN_1*)kWzX5BOSO>sz_ zHNhJ+c1(uieGYD?++v=wmyvo$SZJ;qvu0~JZ6|{7N-C+7mY!Q#oq1wrWswbV`|k|7 z;k&?YGcINRgx#iJZ`lOyDR@>E<)AR6rZQ{B?UN360tmHC_#xSwu&eLR2wiydh$G-? z{P(xg>tSO{p8wofF%Uwsx3C^^oQuexF} z<{5H=Mzmzi;3SI5d`x`W3J00_>WKHRjZWQ78hpcz0s02vD1_>e&5!c>Tyg^(8rJ1a)~!{wFqe zq~&w4HOSd$v^QIGQOAXkpOGJ?Neq+>kzJGFb$3wGsN>MnO4;9yRN%ACIO1_jo(QmO zJ2%OR0J|{CNOp`qNnt0rIfXl6SoZG-mC?)}FV8fN9O8`6yOCZKIb(bP{n#~Yg>LWa z41t?Xe@8Sr&1;j%l#K)6|2yKR8m9o0$GA0o{JxotSp6Q>QX; zl0&1_XX-7Xh59>?^Pj#sxc_cU-9$X0n@eq~M$3y8@T;$q6i;kS#x8#PZYx(oN;{I5v#$L`>^SZE9*murL)M$|9GO!~-fpsjRY z%?=5=jlkiO#01^zZbc*AiDgROB>pdqww?$kbbzV;t~U)YtE=JsA>?H;n(!XICv3Bd znrz(KMrv!meLIN&m8}7zfdk(8a%R>FrFL9qt)>5GX0zeb!4LD@t_A+H?CWuu0D#(N z&sAc>b{rcT*>t+ZRrapw^h4c< z-1Je0DhEP0jo9Z#2&=fk9!vknAZ*kEU==r>?^Asz5{_~d&S0b_OVorB{9JR-gi+fr zbAC1$u|23J#l$l5V1~%gbEBeva`zzl{Qrm@;OPGu318G&#M8;L)+Gm*Q)g>hOyH{4 zf%v_pAz)5yC_=BQx*j&h!pnQuFvu}6VMo@!&)}*FJF>QF+BoLQOsmv*R>?G15=X|` zLq>Y3ay1adb*X6_-%KsF@6L-vQtfi`Oy-gL?kEA+(B~U!V?YxIS@x!UBL18ctiph>u3u9Qd}W!wjM-V-?h z=-`{@CI*_4*8`-SrzRa-;oX26m<6p;j;ybz>Hk;>HKQwY z(FKN-7xXW~R@l0JN#H3uhk~|Nkj;4ls4*kyJGjW7F~Vifm5EqIoyDr;2w~va3sA&z zY1Jm^ zpA(HxsR828NHhJN@fKWFf#{30SE>%|5Hl6J^?mIjTU%cQ1QDjc0MWC<4&z_}ljqo4 zNG14Vupum9?y8%vzsJK_^%H~Po+EI5$qW2hKH&(#61~23#%(^jg`K$a-?nXarpa%8 zeMF9TR@P?_Vo@^B)6%6Uv?u;KBFBeb`KMzVVo51Nlk1e6wxG_dGr!>AW0PM}&z-|t z;NUAnkbxC~WnkQ=WC!cJ*_-&RReU-mZf$`G&2}$#?+O4tcgO_;o)t>I0cV3kStdgY=qT*x5VmvAp+uIYjy36WJ>o+jV9vlj^eI86<+`Ck8Ho z{LKsKw{|!BpWHJAl4PeyqJ?w;?dG%}SUVQsZLD3jm7uic!%9iqK%qE-YFGazh2GH3 znYBtyDVef|pQ{8}Q{}%k^NpzT8i9Hmf+ff(7_qQQHCHHs>4dQv7VJ#2IA6a};_M9@CLZVM5#!T>CN1W>wqfnuj$+&N!-tjxyFo|+}+ z4FAt8YRnJvlUJmiKB|w2wlB5CDw&}|A9-z`mZrwvIz}uW4Jq0g{jK-{J2f6o9%e)H z6V*feIulvr4u@LN5XO>kGqx2V|<>PF1*R%gFFptJV!bbs!3B|*Hs)BSE}lZru>I) zaFIw)eZ$dLYuGlKs9{wbTAf#Q5x40$Wj@})_OS5r0U7hkPYZK?Bq?I^5K$eH}Ipt2gYKT~Dt4K6vI{W64IfQ{u@nMixkIaF`890y0arli^@dS0=hy^IZv9l7DgW=t} z1z!c;enYUT{$JrB|0LrqdP6Z6Jp6t;Dp`yA>a)SF%y`;WLyz-k(fuR%aVceR9xYJ| zlCqliQw_K?TQ0y4X3(rWl+v-rRL+9 zrp`0Gv!Gf77^-hZdT_EqFZlS&rIz{0kqDQ^w4dye%Om4LbY2kfv%0G$>3gooJ>a)p z30+eA)=fj@8;dOHQ9;*h7mPZ)V< z9$28Fk1#7f?F7YyRPc3z9Y@RcIsx-y_`o9Tk3JTA8?-*#c9}*wlLT{#+g}aSBHwl= zGgy;2GFi-~Jag<0%0VFmyUW^XoFFoD5mI50f@G(}qwR5l>c7Ng^*Z(f%?aO zF%E^zLxC1per$06n1-5C@SI9{1ow}%fz9e`VvxAE1HiHFx&R`54g0EpGieWXg&n?o z`YRWx?Hz;06%bTEG0XY?Z&oXGg1DTudysb$)v(BY@1q{~Mv&ci2ZFG*nGb{}uLbrW zJ4pDl!;~0OOc2Ity;@y2OkLc#h=CfYkQ_?e_)c3n)AIi0$UI22@=p#$ibmuGZXi30 z*p^7g)Vb*co8nkNiIL2KbhQgm6%&oHZer@4Izs=?@K+YeEA!JG-m!|cNFp)U4jKWj zryvt@8b$T|Pi5P-R_Om7IwGYLY)|nxVdnKwhvs*^Nkz4U9rIEVDmPS`;VW0dcME z29ho&ANRE2^(73`jQ?7v#1gVN3t>vK%BuP>>%x@98){@IT&mFi=T8aJ7eY_?8I*heVD51(a8vRMa}cc_ur?KKPyBXFMef5g=Pi;M)T@Uf zmqE3+km3j?f~Lle>BcieVx3{dsj4|6!cm86pUIuiy$i;xI7{$x2z3|Y=+pmUo zk+cs|cF}qzn<*hk3&FI_Ay`zVV8A*ybF#)Y!;{7R2kG;BEp@k6GagS>-fH~k+{S}1ZgoZ6dyhbV&)^;K*H@&axM!-skX2@$e z!P&ZVl0NX)AsaEUW}?7pc_Zl6nkfd?h5;?;ttRDkfnu%N2!c&B?1p{KoI22&H)CLR z+Qir12!b{6x#?*qR5|Xi8#cFN7)+(y9uv}r4Xy=&ivAyAtz;zGrWwu=c&ady$yBxg zY3bF0OY-rNWvcKRz}#kRtK%2gzMS0r9viW( zR$W%k&KDG3rO%_K_DzdM#C^#x#sI(qW*{>7nzQnA&SU-7q>EAYXs=3d@_EM+3m zjqD8P>JIyp%5G50hW*i@__{h!Cyfmm>65{b-^i*MgOY850^Xi6_FDtiB}Ck`LgwbV zzo7A>(|s#-qG7E1Kl6%d2u$a%{uI%&VW+G*@pKJ(qiB3w+eqM0FLv-JZzG17uYJRi zX&v-qg}+5(-;m%9Q)c8K*05cd-%E0j)8mnBB+JwbuN{;}`dA3cKeX2ayUyua%D z00Vq_{>fz4P^UI*pym41HnEg`KaMsSMcw~H7bN(ys)ERXy7+wpvS_c|2KidB2lIb8 z1y3H4Hu47qh3cW43f8CVlT;dKl8x|F@1Xn}bJ!F#&`me&95#cn`rkC|(q9^HZ^7%V z+FHwdp6A=9{+qe@bFItw#_8)!Gq3%5nQ|2Qg)3U znq;=SMvhZP9&Df@O?1?Cbu4HM0@{p6)!Zq(ex~1|u(}yQM0NFSZ%omK-K5&0wb*bt{pJ%^AY6n|~xugRp zxgF3lDW~m*-tZ0Jqywq>b&&hPW-DDE5RA!n2JyIk-7TVhaaN!`Z!~m65tLSF9r{jV=V6zv!KAVoe)91*qKg{_VWB+_ zkh{&$N=at9fdehw9x%2Simyge)lee|l+ieR1m=|$Teeu4tv@CB*+|AvuU@=?{S+37 ziu-OWD6^?I5$hTAh}G?qZ@}mOreU|af%oq`C=@n$&pg%ed3y(2`IH>V#JI!*-03}@ zYi`S^)~=axdLXZ+uAkxK@ea`NclT zJ^dv7q`-LcSp12^arZBL;S6ZpJ<^8JP_~JTltYx7Dl#jSc*0`AjwcM=kfbi$<$8F! zCb#|G!-%2gfQ?Tlrz06Fi#l8{oatRVM^q2{yE+uuN5?2mReu8h!8A20u-3vk1~g+0j-nj%JY==Lq7MSxC4o?scFY*b z4TPe}>SzYu7o+G8ymCOQH9w`SKcCZxtZE$?G2ONaX*_`9nQza;6&uu!(s`IKaUKjfYx$kDW$ zF$9-Sl$m$$cElh`>n-d)L{WOS9bF%h0#(RJ}UEFtUBa=W+?3Ha#ddv$JjJ zZLKWq?lpHX3Ra58<~<(&;7}=MpW*JiRv-d6xS5u~VU|=Sz=!AzNE|$CrHewM{YCnA zYdL1K>eaTDZyi+@Q;iv`!>4T<4+((U_P!L+yKH!0%mAQ^S9-EoId-{+d}+hGVrLas zxpk7Zk~0OFfPjFVWcEsk1Wq??$Qx z8)x`8{40(ERCN)3P}Q8kv}oDfbtjKLc zKB?{>G6>qn(^z0WF@_Co_*9I`rnU&5N&uzVJ|HB<)yCmO@xsXFR+G>SDlmr@8e1{g z+{jisEvC&twYA`-B4N)4;q> zdUU!KeQg0J!y2YUXiIjm@$%73pifGHjqq^O^Kyg}@cUikB3vxCp?|7ynIbRh+nJOOEzl0)s}m+py#XE=pX%ATnG9Zf*zz&G>ccEMUK!%O z!Ch)=J7+7v#l^&{`p_$UUGzq7dS@K7A~_D$O^;vJjJZI=ck|>#+i=yGB>a=?#PmmB zVh2e-easuK8mIoCno96;y*d@?N+YuhU-o$I;lr^t8(c+;2Yfg4(J2XDwqn7KKPS%k z*p7}|H7iw#17D5M1@wC!_-cf|C9Cv-uf|7c^yc}T0?9zh^L-|0pey4bPqp`M-d$?= z=Xr5S{AXunC4vpG9-M$b>nwWUc5#Gn)7?AV^^?!4K}gbhcN%C(sdv6edepI49p=Q= z0H!p(@-e{VfTO@J%q=;fT#c7!40=^BwSeyw^ zI1GVjo&z_F36s?4BVD`d)e%UZ$$lDXR4@F5^9$BhHGP`ua_JKV>x94HjBFY_Po0kt z2+iEa(VLX_M~_=+NM&Pyfw)fY<2=|!v1mVW$Wd4XyFT9vP}R}!T$#e6@MVFS_%1oh z`4mN1h0Hndp~Uv2ziTAJ(|F!1(EaR;y+hS&x;^s|sy9+KQ0*rvA=!1OKY33N7*%}~ z)4xmkmxexzr@cLxhX`^n-;#qXo_5s(XUV>ymdT);M_aynqfaBLU9A<~9x{Uey*locGypPKX2G$V&~r<}OK zAvq39+xO4FY3TM)Nw%JrHr>gq_h7yRz2}HSu5-1150}NM z)r2;a%UrFIvr1bHDM~b5Dn$pOko5k*muLSw2P`4Wx|?gLGcgI7b>P`k%$Z)Lt>DSx zT&X?g4n1uLt~^6OD!Z=tWSZ9h!Kv3D`)on|!;YHC!J&7V0TinGYIBBqz^4TOy6WASVxl~+ zzJ^vEf20)w9*vc+01$M(*-j>6&U?D>>YeByI|<*)Pgu{1?!bTN!2&5V<>|iDZS-my z8)-#zkDiD%rG@<<^Lo$_AIcHfH~4o+Q_rSo9+63*1&)S~LbfRbVRUQabl7UR-b|>n zb-Cv(xmbVVF)D=_VGf*c-RWBnpIvJtYUlO{XWL^pIj!bllhywwg;#Nog%(VVbW{Gs z(Xm3`&osj}lf%hIF4c z6RoRmn6VJW<-?R>e(jm@^3?X=qKj;-><3ukg9U`o|LtF96Xy(u$F4Y;1I6FD@H6mS z*M}2<1SbbByLyep2QE8>LTP|xj%&ro}Ii|9xygrsNT(}!lqwzbTkZHI?# zON@_3P|1NmFUaNef7E6;D!?#}fN9pyySFLEdLKBA^3hk4p~X zb{FD)YADF8{j>~Q(&Y(oYO2i3;sJc7NMqT?sv z=v*uaM;{*s&JL&gDiqU1&W;^P6UuE7p1NbVIcu-gmQ$`7qqa!+M%8B2@WRrWaGVbu zx|Hsok(-FmZia7Y!5~40UG8jnGi;f`28V9IepMUrbp%<7Y71l!<5CXtxs?mKIOOjL z@;?<^djg*im+^S^4G?(9oOv&FkO zm{Pa@X2mhH7{y@HCe-?nq{AuHh6(~CQq?~<9aNPZmObLs5B#cDZF&3IZ|d(e0-->{ zh6ADw=LO=dnGx(Ra{yAR`@~D>M9>m@YL@nAaLm}#>CZa|DzgU{=Hat4;S3|Z&LSdD zgNI$i#N*zaxZr@I);>D^k8DiBYp~-%LEE2$B!bQ!YrzU%33(8<-kWZc@ z*Njj{>Ed98bp{)LDuj$VTts5}G}OB=qV9VhTvP-cZcVwx;?9kHt)AIA_z%~Zm2J!>1W4TV6!{d`b9xtDPoGR%q} zlUhE*sDfsR_5X(M_Ap?{}`czFSi4vwz??G&fw;|4H!5-IGb#btbnQ zgoj&~uOu($^IJ?Mww}@O`|4>s!fcs1;lPhr&IRI~9o`L637s9mnc8wTr_y7kL0DIF z1RZ;~r^`%#?|^5jaXol0NThn;h-~|Qdw3q(-5-(CJ+cSu@0qYF-H!Oe@9E1KfO(EA zhGsdOf^Rc3waeD!E6@9E-i(tE1F#RgkH-0N9b}$&=@y*Hd$l-}(>4Kjq(;8f(9Kj3 zH$46949}#~_|QM8V<9ysglqX^rm?b{my)IT+d-A-zefNms{W2(UDA*rI52I3(BL(f zg-N;&y^v}@XYxLQbD2Dq|cD2nEwb<1TYb(z{fO;I5h1%)m%6t5=h9 z<_zFU0WYL>P<94W2+n&RL?oA%Wlk*kAmv!&Zq7KaNHeN}0N`GeKlg@Ntb~aa$QXePRQqIeN3(k+X)|*+|FE+PGs9% zO=6}~q@Cs@bvW@r2Tn#!G3rV1F>1ZnzssR7Tc2&k1UvdS*DH2%!dA7M!6kT1p{M`T z&!Nh3@VW6o=j5@rX@H-WW;AvSVkxwsbQc65L4zhuP@m-!J<_U77Eg#f|-tjjFiIU_!X1@q>LyCCMi9l1R{l*+fdLWF8_1EkR99X zx4)9~16r)%wIP`4e)P=I!^WqM5$aQ>Y>2j+@pSc*XNyC%uTK|V@t9d(Sn{WyureO~ zsL?oYg*!-3Ny=dNcJLf-kBLZ0H~h6CdfAunfZcZwD*ELF6*G`~9%F#~8%W_QMnG1Nrfi#uP>xGhBu^@O%8Hb}OJjy6L|aGM8SQ*Y zmZY~mCHRljj1yF2dK22oJcV7bW1nbE1(CzWa*btxECwhTq5gNt(OXqL4ye1gmLfS5 zpzDz>NVTT=zc)MA$chBn)G;1)y(Ji2Yr;)dMgS@b>Ob#N)qCKl#`Yaa7;}6@qy_ZK z#Dr#g4fQQjn#ok8??t{}J;QQ0USn${c1BCvKA}2iST)ztC3%wcVDB+Z{6S#{9R9-U zo0UUvsNrjd610X2mJmmuT+F|cJ#2vc{MC0jrAO6c)1X&X#|hG{;g1Smi#=(+B9o>? z!HxKk3=5{+o_hO}BZ==eJ}<+JU51>IpF?s>F6yZQcMbtEkTY4?E-JvQd-U?vLD}oX zajmN$qFH&uKtWA7S5rZPZoAr1B9ulCDf!gm8g_idsv0hfsV4s*Qq>EgDyhi~rf)>h z|9Kl48=<}`tb@fy0~h$@)HR}+nvD-7C>sTdxvRb-fz+B;qt6H>)Ezxw@AOchV8^ni zeGewUW@Nq#tcVb(4*7;6>!IPl@i&E<$>ubOlzF{2<3jZ-rhY`;O0Cb=e7*9AR4s2bs@L|JTp^8Ruj>yDjZF27eM z1=Nx?BBO)XpMhQN{3%EWfo?dF5RwXg`CuT_dh|*0nO}?uE#;u@^@gwgoq-zt*-&QC zmlanKG=F>|65L5G(#Fe#cKeyYurju5ctXL*E7Znxgk}MjZadjkNzFX`?-ql_!et?p#9ypkx*`7_mzT&zVtD<_So?q<+`!f*pfUO&E!+)D||=U1?nmY2pmLP-p+fd3fl2!SMW^ ze#Q*9yv88HT7)53%T??!t?9j2@#k8aDiawc#`_F9mfHI@){68Udh=5wd|J;q!Kv&) zct(&)s8Qz{BUu50TRhp8`&T>*B2~RUPO=_&TGEv zEH^uqswfxU>1Gs9Sa01c%#z(T%zqv$@`T~-~Im{{wf{12oa;z5n#?l^u z%x+DqLe(4xo7;JpN9I#ABaDt7jQ!c~C6N(jOKXHV+y^<0EHSG2grvrgTq(3fX2j3Z z3{!~DdOJPVWiP`plIx_W^$b?<$kM8I!ZznnbKS8^(2HmvMKq0#O{(HtDp0lRm@0Q_ z&TLZ?KvAzMNSwPA9Wa8KK3UD$`B^mub_rcm%M;Aa#R*}y?+C9`mFBY_m09=X0!3R3 z3UbWrOM}eI0Fj|OVuji|D8t5FuZsZ%8Hq2=aNq4+a?j*1YGyDhF4sudy3ee-Vgx6? z53LL<2{vecRD^=q@vBb)duVeyDjn%)0euydZFr9px1eA||7i9hEW=N66~S>lbORh| znoJ&C`@|5I4hB1C-B0&0o?=})I7)&^uK0?UiG6$lVkYLFTOw11?uhXE6|z&5jb(Y- zcCn)%thZhx5C&0)xg@GeBJqYlBg}-JNK;xF_{6QhEXn7^1^)_q1WRvCPLM)b+0dXS z4V2V(O?k#F*qGB)5UEtGZXhhdpI#Gz7C=4K@-(@DKRk?nCT7vDd2Sw4sTYhjF!G1; zioEhi)06b#7if!uNI&EADI)+Jo5axti=M#*S`kkkdG*vntn%G(%D3VO%!RyMgTa&x z8~WE%TR^+xl(tmE*>Rdg8-4|$i|ai~`D!jRTLpoV%v=6M?xA2L8kXM(4UNxQTyWx5 zy9&w|2?Hcvee9?pAOX~*N+~{g%b-vS`3iLm@gwS&@f^AYy4Lj!qhLl@x>m#joNh2& zHWi#VmH4j!9<)dWqFP#yJ=`7C0yI7KE*FI6-oPxlA+sn5*MXnfzeJU&${qkNjhzB+ zXd4@kuLw1M>(iH1+qS<-4;MlALn2Fp&U(Ls^MHnb@`xd>g{YJ?+qo}BLIYjp2+HZc z)vB?>=i^4qcr&*$c2@dmAlKmO?JkHQg`#Ih*0JTDi69uXsxD~I|<$NEIDCfnR>S~)2{70(!j_SxDZq=#bmpn+8Lvn2vD_x0c9)y6{H`O z`+KQhAU3-%2qrtmg8T|f9Hc*0S%RmY2Z(|^kIq4<(GB3WCLPzopPamealv+G$muqe z6L~N+rGUg9*5&n(8aWoFqL!M8H!RNl%&uW2DZQRiqwl14l$u^NZFmJqB*QYUcG|t3 z5*^xK)po{R*h)zOFt1GDA>8+=!#LpIxw(HPohJ$+iIV&R1;Ffg_yU-1dQlM zuQaf@&am>xtXaUz)ZRT7IV(**?(cKze|l^hL_*GVhJ#(%9BPw0eIrwuclM!@SUG*c zimwq>?C5>Id&4Z%2j#J^043fpvmOfC&DT0rGKA;|{Q~fBrZveW31m!K#)if(Qf9Vi zrh{|^Q=RDPM`7I!xvIA)WajQV;w&x*HXVLOec<+ zQg_YF-l#FpJe~fql6#(+UByTsi5`MI)5cPD;5=b6ptutC=VSX}h|xRw%GC83m|k?65FoL2N^QCc-PmJA6+V6}@~A z$n70geVO5Is_}%oZtx&cI+bIe>$^&7ELmDO$(>~T+xAU)xX@QelFV^w`xCLHUN-W0|uYCflWr2yUoYa$M!{F77V^$CN(N)X}0d+~|VQP!dXK|9nr2 z91P9(gvU)&8_p}u{q7r%E#^yW44he^JgZ%qK+3wn^=@gXk^JdAAB~wS`?JTwyQKpP zY5Sn~M&clEkbT$}Fsd(D)(zxND18J%-^UXm*!7)<)N44i>>|>O%m|WkcP1<{R<9_7^@5%O!0d>YAj(wsze!h}-K4z~|;-+y00rGL38BfQ!gFj1D-&fWI3e z96)yDdBKJc$Qn57gtNvQiy9VS?$nS+P{GO;Uq-ICQ)1u+WIijSUAvz2)DZ_DFN~wd zGrdEOdjQg=0LZs^d0v>a@rE6sAe2a*`U|r-s#SW?Q9|w9sv?)? z>2^opgZErGbfmF(X@y6}`}Ecwvqq4gdKatp<8m%=>DVheT*VBdvsR&zKtXFQM4RhP zRVSDW`uj%n!lLKb2J^as33`bWvseoQ96a{! zdtd@)Ym+nY0P|LTJ0A|6VE0@qSg{p$UlGysTH|Kvak6WY<9O=X0FTXiA5kL7X!ZZw zSv{9DSfpI^VUzC-HZSD`)G!5`S9{g_+2%igbO3l?JZB~M$UEZ=1l|?ZSbf2aq(1)N z=i71of8+ovddbmZ4|5xTtDmETq?k#DcUq5wyT#{b9nB{bhIr)ZWpW_%Mg!=U z<@BHF`jf{N8E4?a@krFF3Vt#l-qqnJ4s|lTmlc-NsV}y^U<6yzz*g`}ERD;Rf#Rn?iv)^uP1Qq;y5-Ox@9G)-DyH`SR^ z`$)^L&ebDx@$2f#Go1rgX4V3jqs?)C@g2$Iggz?(KH8n7oq<&Kj((;=xLyn**Pi;N zPpwKW7bfq5h}=59qoj9%eO13SS#X`N$g0@96G#r%f?lK&E$D%#8d@yU?8^%HpvIZ- z29?-9pDT4mk5nVF#8gJpmb-jZgwuMHT#{SpP8=l_XDO>Cam9{EaW1>{#>_6?5*7?u z3M!*!wN-aj5h)_Oug|5UyT)z9qlSOQVQX6zQk5f&RPJsD&-%#n=~aKr-h2)Wl>xPn z*R!?}+UloDgRcEEPNm`~wI02&^5|q{)a^^I*~kUq3zVI;lHb-SJ+*Ab(NUm{ittz` zXD@0=m?ULUu3)&`_KFM@Z0BZ_p`*54-f%G##F4=tdiPNLxD!>!#D4ba*2`*3Br^(D z=z(hGKCk__;`F3}Ff50WX=qN6*!G4}qG0$l?zkmWAh;(^sLe4Hj>#UwNL0aY>u@m6 z-r56drSnz=y{(mb&i6|8+Va3Ieh;K z0IpBjTP*eQx=-R3wX3z)3Hg&_+HcKS9QC&2{9R|DK;+e^L@s(|C~DSkaW~{ba|4IF z8?OpEbaoGPGWpv0>?^K`RV^R)5TwpQ_B<_<9w0DwT2=8aEh9lRX>mfdULn*=1)kA% ztm;~flbzjz&=$Mgvrh$EI}@QwRzHv zqF4LrRQ(1_p`ZmMc<8G<%rJTe0!_cSdsZUj^kVC;$*F=)cszE%+5-vgj~130ucP1# zHn!Itfy~Nw14|COZ~VVsm`%k&*K3vg;UpZ$!{Q_!wW|#$_7GWue+Apysjxhi2u&~D zJVI6kW6L_xB!<P-kW3AMqJkg?p@XpwM)LbmuZNUitkatTvbi5T zaK!=L_EgIeBOoR0R}lUw?@2hX2gR|UkvovKPk=be`ic=@ZsXA)47frjzxG8j{ z5CPK}RxP!whG)-v7C@d)+R0x*3*6w+egM0{qp4K{flGf`?mpO;jE&eTNT=rTErDR! zzF>L@UQw{Z;-sB&B%XS?GZJAyB0m%~pV{Sot)tHugjHcD@afqP>E{iS{1ps$=kdtN zcn4`}W5j!CERKvg`uu;arN{DqQWXE>nVem!KZ1_B2gwYMRBf~)tW&OTCWv?V`Ut7k zsk2^`s4Ss%Ft|`X>vu#l3op&;rj^-jr|%hQ689~EmY>a!S=WJ}&Rsj$eYA)8EV4i3)*RitBKs*RQS7EL2 zLjL)JOg62xAMjJ*kv~;gOMuR`eGq+m1Lsf>R<)+J1nFN(&>`w6)iz)6rNE;KRZ+G4 z&$K(=t^0TuVw50guvHq{{L9PfObBf)z9x+A`xKp|DE?axjPknDSauQbbO$@N1r zl0*Xn`o&{+s5AA87!b1rMoTrqMr}KwUMvHU-G&*5RPPjXriE;{iWQC=U$DcxqDCcO z`Em^_d~ve`w{5!vC~uAP~iKJ{-f+4%rDNo6nNya4mGBVvW6SSQT+lO;QgZ|BBeC7-C9ZeHZ`CgPLmkyW zFZ(qLs<`XJI9QSP`i0xo6=vw^hQN99uF1e=&qo_T5{C2k%}9H`hFByuw>5^iY@Y?y zgfRmaAaVO-;~_bM&DJMYptRcq0jkP=ttPr4Oygc+S0=|@meX4AZbir{v*Z9SdBm+ib;)N@!DkW)A9M!{H*cepWFb0wXMB!F)eh(S(x%N!3})Ro|)^M3({iesQ|*CCoHAzFTzwb zS(zN$eLqzY`7<>FL8ao2#d3^5Z`+$}SXLbPn#j>${l;=K?JTF`-z zx8l4d2P~@lf1Hi4f1x66gKdg>WH5dn|6SjdbtuRvqUwVAFziBJp-Jd-13llL@c_n_ z$UvyKYBj7*(^teWuM$TPT*h0rod|O^vj>A+e4QS%)gR}gOWkul-edSpdxR$Ip|I)N zbfJ#P#GA(zoMg?{BS*woNEKlk?Fgpv6#+lhhP@Mhs?eqiMwU>3eMKD9yi@M^1tv

xerP1Gf1G6PJE4s!$i5-? z&3HWLxySE!?U!^?yXzW7$m&=uOJaJ8asg9FS}xv3QmSvsQ^z| zH+rZ6c5iQak!jTxzD0LLvpyToBHn>68qf0kWtSk)p~MI2wC5HD!4dX`7x&K1TFg*);=r#EoO zSTSh6Wd^#}bza75$+6wJ)hD!X?HZt%@gc#}1H=KYz*mHa$U`$u+=BMDp4ks|JZe3m z67hXu1@yqwNXV};2V1enh2*X5(`8rkrGYD!jh zB|M(~;*v|abM!Ib@2rpGwvnWIKU)SVYSzOW)aU~B;vzi?K2YNud{4Roy9*)~p!g{} z$dUD?=%X7fQ$U!Z^CMvxemU4PQv1M;dG0XH?OM{Vo@?bRXxXJ;swE;wN) zcN>S5SQ*kAoSpsIui@-m?@|wMXMAEcGU?*AHze(iXDr>Bak5miXZDL;Yuey^)Q@w$ zK?4mAPg~hM40CB(MR%;4E*(8{wLf|Zyqlq6`Hm4wm9(FcISZ`Xz?XS!R?$;;=JeDB z2~O2AGLrqx-;y2&Z9Xmtx1v?B5ev=si~bfGZ&z*u0=^w#;SYR94s6L`XZ4GoIOTZ6 zocP{CV7B?y7Zu-T#+7x;kvc|vT5W#mRifRs%`ZTnTEk~hqk0>j84oHg9NarXC;7Ah zWVg=(M{?v5^q3>{j%OC%VkQ*JlNG*CM?z>w%~})OuU1u$W3M4#-mwX#`GS#XHP^Wf z)z^F1G-+w`VlrqwQWd17?zokl{{~5`E0Rw+UKKO`dr<0a_G;zU2Rb-3?f2-aq=(CG zx&Z9VoW!5wyd;8P_vvqWhxSV=pq z(FzY(I0k&dPTrfTf;flj)mLlLaJ@(iScI={Vc}96;maz|z=h{(ycQA=>_7Ix27Z0_ z#P%H-BTN~Xb?=}>@(I(mtOO^#b_)G$WJi|nt)WkPWSvky7a%U*4$!8Ou*qvlBt!BA zB{VW5YXOrOP>${Yd*%bx=?LaTqr?3gIKRg1P(eaXrSBm*YR5kbM}lsWMK^^%ZKBn0j=NOGZ-_t>T{{aObsKu9t@V=ZTzCMWU4SdA~BK27bL#F zxgZ0uwQwUMpgzE}-)T2tr|OxN0LAWtAd&RZA7;<oZXjr`K1S#R?VwUxu5-_S9tTH*B{eALRFL|BGzuD0*E_gRL={*k zrDgSd_Eyk5m$$!90^0qJPsX!Tt?A#*SHzXOBU|gkwb((>+#X(p4(n}nR#(AJib%=n zF64`Kn0F%-=%^qAZM#}g(uqO^?N@Lzv}&^8x8>Vkzg0)gSVtia`&X|SQnl8cm#!lk zYBBf(mfx&Jaw2l#qhJIYv+7j|SF)m^cT427qJKK<#(^hPLwgIFDb>+On$%TA54JnC zA_$oE)%%y*yHKUSf*OE~t|yFCZn}D6{9%Xb$f>HK){b5sXd@HsslR7t9+@skl-%$w z;XH_T1zC%>wV!;#tTfdVE9hagz;w_yKW?fH!}EGh_rHP!z4?>wn%p_M1@ms)4fT~Xt9OoXY>K&Hk2%pdmN#VfkE-2`K{LdXpQw^iw_Si|Z4@kh_ok9x*bM;p|;h8$bIc5Vu6&ZI$U9&8ML5h_VCk-wY*mzik?7+4py8e z6DA76&GqR5Xe;Fb33mDjI2AMqkxeuf4j06kzZJdMj;#9l2x=gPs>34lY_OKr_c_H7V}y9hSc*l3K2)> zkV?r=iRYg?g6I7Bf`A67LGk^se_B$9#G<8Ko*=Z@6&k!VI@Gw+$t7QH2SO7Zh z7!OfThuy+303KHQ47Ejr5=MspC{rC)27{XP&{_VfMjepsC%&n}4Dm+cbwIKmBc&T^ zdr@(Hrb|OM^bV6kKsi-q9yVmg??6ijwo-CXIr$Np0##OuKGXMgTmuN>HG;fs%?PsH zZpEwt|4}1A$9oameJ-n=ij?`u0jXA;Mkkf79f7)IUt@}H*7&mW=3ek;V%GdM zw)N}oHXjeLu5YmtPp`!skkjFlrwU4-{&y6FTg;DK$@-&pD{`;JF<{g)tWh#05ejU{ z6p6}D#?&*kp{V3!P$^fo0qUl}^DY&{ekxn!0CSVOlMVS5SVup6*PlE>-?N-nBYv>K zB|yPWhcf6sHO{IF(kW6^1#E8n&YyubA~<{`50kX&8xJG`uJ18wU>SKbY7CG;RgKkl zR8k{+-|ej7Arj5luOLxh+m&F7m=H}Zt>X_EVPJ7GeQa0D$jhdE_fsV;&P8*mi<8P` z`GSbFJ9^s|(M+wYr8rGX0a4lAjVC%Bt_lXdyjz1=LaxO;fil1p|KU;4)Q>N!KL1^FX|D`oi_H@LXGo zR68hzmxBD7YXDcJzsi9&Rrg)dzjweuyu~bTz(UMD(ntLQgeYU!WIjQ1Z0>WaJg` z8E~p3+{#j_M-Pvcryp{a1Y@c%NI%S{N|P`^TgB+kJ#LMuNm+PFlUEj>8KwqB#XbmJd%YzwPPk=?wioNRS0ikuP zdrugKdbj6>)_lc^D~6uh13bR`Ni$+Eo;orCtu7d$^Qy)%{zNy9KElY$QmuNgyy25?xQM2kF2G#+Gx)EpUiIq&p zt{@n@mab11mHQ>o2lde2WccTYGkXH{l zz{8y5f`DS{A;){O+j-KZr1fZImM}ReSP-Y{p@IlD7vt6#H)TZBkzCz;CY;snF}Dr+ zroF9xdP?a@_SjWmrP50&qjNn=)r<%#iH9b)n>HHcUG@=DVoz!^-~W4naWQ_6nukVB zd<5&-L&Q_$pl8~C4?VPf|GA)rUs$i+GS*omZ{*=wn=U=k4^nZ!5p4^Tp4n>#o2lWw z|H;`hn3Vake~z1yMUmtKuI2hfM+~@=fDp}}ZbYalL|;i;7=YapYu`&#|}V&r}x-5jz>dbM2>%Mkh`2W05lNw>jZPTay>@W^&2MFlif+glGwo~>CU4p6j&4ARykc=UrDy$5 zGkAhuxbBB)VUl2216{YAnL&d`1=p*#RS^7D%0DuBvbC1WcHm&!?;YfM{aF3G2_@UUD*dN0Pw^a~08}&HJB+Yu|f;fhB)$ltUdcl*tBRYX&cVg*w z>TN%A+lW?q@|j$?HCQ!ruuwaogfncC=RluOcbuD{RL?kxla4BqmVUU3^T(?^(~728 zvWbP;Tvc0gxT?CZPljlLFeVo6Afg*82wi$KUlGvstvX8L5UMYDqJ-3p662RCh*1ze zGR;fo=6Xzu69^#_Cu+na1~x3UO9hcit64r)@rOPsf?ll{XmTU!^^J?12z&LxLSovj zbvU04gMEM-6M?YiXehd8S}UkLc}#@4mdEn-D;QRJxbDvX6xI5Z!|&veyjGxMsI33w zj6qe`tYl4Bci*5@%|eEx8bzo!o$$D84*v8xpEK2y2=;s|Hb2?WVwr&^f<2u`g39A$ zZX-=uwrB^Bj)Ku9BRTD~P>nc0n`*?D{HCzuL#RMZvM@feX1{{Kn($j8(sDh^DstVI zXUc=5QTKmajqG7*P<+Wm6r}gWPt6`S&G>6G=+Qftnmuyi(Xz3FO2&)oPRFgcCC>JX zS)Dws5V#o7OtrjbR;IWmEY?~Wfkd)p4>c^Lo^hnV*05C)PsMZiDrtTh+-4T?#yl3c zpS<5BVhb)!Ye1^-H-tU9e8U~WoZPGAA}I5~Dv^(UEMMS9awA-Df?AP}M}|Hleu;&w zG4^|_LN0;p?!F6YVys)zG50Ho*Q&lCk!xy0Dx*?xe+3yIHGGBFsO46#bgULtc_I&@ zwu6Q2D?ZMuYtKo(306_Rh)@xs`a<%R_7IUS_+I11h6;k$Rm3L0f`F^}gVpi{M;2RA zYjPBPx*%bxkXnvHDq)Mt&_l$rXm2;qkPC7YQUzEoNnX`PvW(vOvKr|JA9}%+-a&au z7R>PxnyD&U#>sCNWE_sfa3HED=|J=F z&vU;;Eaz4OFsk0A7}F#M)4c_ewS`6(rzQ#@2=S zv&c51Mx3Mx?vj1XUVaP2iMtp0RFHm}?^Ml(jo!x-D(I^xUBvVqsh0YN(6;$;d+|oB zv*_wc9ij8jqPhJcvs}#dJ@00_4dhERtKg|JAOUuv%R((|9*kMe==n z5$F+e;R#FIwN^*TOe-whg5Q0`l-5ygF`t1ZoL&`& zlILy#;%;}W<((Kt-*6K9z^}h9LPMQPjC;#d;7^`ObFcBSlF@Fdt6Cmj{eK*X^mmW1 zsa0fM#%;9#xHWH=zG22$*A=DyIgm%0Hb#As&@%VUQTWPq;8CSz}#c`j;xnB*hn6uofd(1l-c~ zK_um6CW)kE(p?~uij;2BctIrljig;;;oGsW+?Kf^Fflv@P&P*`Fh~ z(t>fpZl&ddps>^#2uxCjWoV3mNXqbP?e#l%k!d;enP?w^{o#q)Ur6~d9y8fuX65>) z%ANU5Tt&ubO93UflsF28FR5Xq*P;x1DIcKYmi8x0?*hG4GknA?t&#l5CqP&|+S|dY zy}Qnq9$;z8`y$Mwl+rM=?l6O4WIU60r;&Vh7et~REr>fwy?t)o;htZ9!iZFY;&NHw zesUXhsDT;8L%q2m?CgAvU4nC02g1$Nqz>P$EC{l9-aJBXfAy)7z=t-; zSUGIs?kcF(TbCblsh_5A3Ajo$0~B($rTL1L+3L0mGKq54tF7RrRPSsgAob|eyN10k z-ekv8-Hxi<0e=WNXekvyu$jR$4rFT9<uk`0^Vf9SNS|PWfARO7v89 zL0C!TT-(Es)ovAgKs)9JjDW&9QepA_8dtA~Y0qyW5HwVvA zfzK@J8Mqg<7?19P^cQQGz`YnK1ilJzv-JU^Z6ryR?dx;Pf0}_I1l?Ce7VU)YiQ32^`$8$?ZRbV70`@tIi}_RCdixw5yLDYS)hZDNSoZyTBW*Kgh0A9Jue7 z3)Ne?`Ofq@ZuriS$WQHz>^j@uYiA-XkHwQF7=N#m8-!YU0;c38tevFtP$QENMiZa8 zbhJG2bHb=*;}Z=>Tj@>JyF~?&jB844$*0;>kkOCDHHG@Qg8oUx%ZvO5H`TG?FXjD4s&gdQ~VW6PZFpw1Z++w+A?5=Kakx)bH0*(Xc zSyXq6`0SyDd1KZ)9gpVMP8yr#D?(wlcC<5&T$<0G>GaSIGjoT_EVDu6`d~SKvZLSo zbPYRJGyNYiE*=q}b&V(uy~avNh#rX`nEC8-bcnu$ARD}{%YIgUycNsW{9KSkCQ{u& z?7GX_-Md5ty)Q^&S9M()?ERj*=fTqzWO~Bt8iKZbsSSH)sHNTv(Xgg?(NY6)*puNU z8&24;q3T6X1}W*85oE6O^9D2Qct{w21$lgng0P3kjkUoY+nz(?hNIUE2%24R^hR`r z3zCCe>p19TBRX%ZAoMNTLpD6YIx2|5_E!+gvh1E4X%zcoOxP!}Df)tR4)3=!&gEuQ z%aK=cy!tVG!`lH@eEXBQGrv82!}ST5+TgG?$$>VY6S+#a#lXKlrQSRkY*4n;Z#peMO8d_h$=|r1ANVO!gp^;n&YTi@A3)kFVCElesyH<*-ocEqZw7 zrK_InVdI|m`xiko}wxcE=aBW6>mJ7lK$H99L zGX0W9ABIe8adM5(>gNBG%bxqw0U2i`6I(2(iN|hwuSn3O>2MHY9rkQ3RjmQwrcw{*K+;KH|pSB9xm-Gou1tlFF)t6+NUx~2-Mo+bzUh2t~IeoVp z(M}+bDE0_;)FS;Wr~#l+1<7fmgXAf_zktqDda7NnF|9zpJ}8^y4?2J|JSMdR^nwEy z)Pj-0K%bgCB24u7(~MBFraEPuH^u2mu!3w^2Vey=;7mPorY+cSJu|zb#G6H3ZC;VW zO5U4Og1k(t#eq@Ds>pQ5rSon387n>HuT$_*xDi7C}bVRd5kj zTLl?BxqQXSe335Lk#4a{K7Zz3En$Jy3Ibb?AvBgVT=Pgify?w08Oqh~CjBdk>Fr0> zOlQ+1=Q{cMf=tI)^pLvqK;bJ+WYyDjC2ekfhIYNN#!D~O5;CVnq9$$8a`(1K*(}zy zUqKrErt64+jH0JP*?SYS9$0@O`?Q|YGe@(=H_Sh7xn8A5^ndgJd2ZK0LTvxITu48; z1SyE+8bmspv=u}Q57ov27eFX)8hfxY`6KC}BiW=i9qQQGIj-Y`5*n|Xl&h{YbCzts zDWX%#c}D^?+5SYCADF7%QW|ECX@br zL3_911GCkBfc6J=s|cj<6*EV)=iRa~AO_p@Z!NWR1-H(u`pRkA8h$L2f15&1-MNEg zK$E{_?q?}12iyt6D~hj(XA^4I@iR^wlH)nOFJRq zTbk{&NeO=fB(7kK2#JFP=uZ&$&NEKc{gTb{>~_1|K9s9QjZ!Pi*tPZMFg6?PLsdtRQMMELnEFO6=}@YY(tFo#%5wk-B(RGVmI*tP@xEBf|pOs9r%Q>Nr5S!mhDZ z5be4j-w~6zmulF0`o|S`dw-1sR|QEz=w_61xGj%hNTqr8kejw``FtZIE-+ly@bxYF zs9Y%0iux=AgxWN-bPu<>=H&4eI2XDRs$!LEPdg(cuGc5D?e^j^@>9f?fGJls?3U!$j^=`F zVN=T=LNeR)T_qU0sAJ&dA^IXz@%fyU{tD*T`gRezn2k{l4-2l$>=*GMVF%S6t4OFU zgJb=}pLG$-_#Mk2&V5N&F4BO;vZiJiPp$?P6N7%DCN2UQ?V;0h2cFz-2G&bnTs=}v zNPuyAvzB#h5A@=aBV^uV^Is+pBhWVRFG-ger`-_EW?h2P`k*LVg|^X3^d|;6j)u11o5YsSS>@ru$Z5}(D)gV< zfB!I(8{FK0WTF6CMuXQn3*H0yCa)c5Wuve7T~!-T6OU`e1?^X)f>@_pdu$lxA-h41 zUoYajk#fo*M0h=Doi-9T{$DKqKa8N(3ikJ7d!XT%bOk$PLs;JS``~}XzfHd}A4pOb zz5ttx4b>Sy@w$DABayFz_rrSc^c#F%P)5x6wA7GdK`13`I&BoMDdXRnB|eYG7OyPv zMmj!}D~gou2YA)`nZ)>Fs4_HQSsf^FDJCIOW8?mon&oAgm17<8iHEJ(!RK%O{XsCG za&Xr>WI$p9ML2|K(xd1_0O@oFV5nS7nH{%lqr5^n!EuWid*}5W{C^fcp!5HLs+j{! z$&#(Kv-%xY&d9fh8F~U?+{gAJR(AqT=CEUWVy~F|yPT!ai3|$KH>tj>D5$+Sz6VA9~_b&U_}mAgQ7 z?~3;0s{m?1mA{PSO6HSBPV|j+jRY$37{L_6Rx_I}k2!m&lSdMh@Rac<-`M?s{C~Cr z%d&0r^<1-loFw0<59aCpcupIFucy%_ydMT5n=l{-)6W9~v*#w_oOhqNtZ5ul@?3W7 zWMh*D*8}WtRZThuR$c_MwD~e&Z6Mlwx4*6U*o4luUoQ(}s%9!$W0jzEwiokDC!-7RYnhZC}~dX3>Kf^4iISLu|S z|6g!yF&V2D9W}KF(nmo1-=Vn7Cym#SRtQ-(b|jSVCvkXCbxw{QTQ~VEnNZb`EdC3N zh2cPKT(;@PUPfH0rwT_9u(vkeQH*P=VWA>zivOsS4jVdX2VF`OGf$i6%s4ft5C zNOYjL7an`{iD8X&z!0CdD|sYW4I*2ApO1Qygibofu58a&JyE0HrT2kAXLqKZV!N*sw+t)*MK(EcvDz-zXb2B9%XwY_TvoVCx(%%J?BZwzHS6+iMkLP=G6(06(R%emay?2MjM3THb~hpKhHIR;)`JPK=Zc{PT3e}_DhgxZbUbbZlj zaHT>xY`#42NA^1bF{qmY^%;#s*WaK6)w)$I>0Bq_^L6tm?iiG43}B{CS(8U+*X+da z5<9{)oL>640G!J2wRQRVI((UvQ;pGwsI-SmwSmCU?nyo!!}KK#eiLqXZoTkk#!2{4 zULN&0(6n2ljya{;jm?>^7N)qgRS+!)y}Wfbt_N_-xw0d<&<(8oZ{?b={i5BhT+$gp zB%c@8<;er58FODJ%hv75Adq`#qOzQCe!Q=&&3!6!TU#>1HJn!J}{=u{HQ#jb~pNX z>Sp)E;+_Fwchi7!Hr;yz?D+e;|B9!QE5o1sW~P29kEp#}{|BFhH)F=m*R;^V@cynN z{rCLJtwy=EPvAf&Q@fgq5ysSY#L5(Ro?o*aByuPm%r@(EKJ-*nWx=Cem43%Q%UIY0?*VG2;|?~Tt6#k4!( zPqVZJz4)vmojm#oqrg+DE`-y}FyC>uKef~LI?Vf<%tB%OBq!CNngS}V7lhDpfH$0V zvho$AI>!$ai-xF%Zw|Kicb<2!z0daPs25>F$s>Sy37B%!5s95m-*$S8p{t`|Zw-(g z24i*l-z>B3`Nzv)8hsrWpZuhYZ}O*M*daIg#cwXBW3xXm_bK*V=FWVnsCv1V>lqLP>Rzt)!_@auFjjmq4d&PcesMR67yMzO_a91 z*zjGfgd8q#6uT{3x97~HrtQj@+9@W%AK!A{`jh{j;;!JFgn7msQxZpk1zC4!tqJk! z@EzyyrrI))2frX90p<&)?oa4`C%+JEJN?^>w-yMFO*o2Qj@=G7vA_RhW9~_=r$I56 z9%_Ugh9Ym>aAbGJ2S_R6^#~7;0?B#QDol}`O82nox$rQC0#Izc8g|BC*6a>v@$!l1 zP)>Rw4mE)M9V96+nH>%r(z22<=Ar|dpYuB}?*({L<$V_Bm-nAv5pGcI#Wv5jout&& z769mY`>f)0p8ej{3eL0m-`Eqkc6Pl?qD;9}cKFh)g>c!1>&#>Sk$kdXG|6$^vGH)E zIS`klw?}WMfwA{ubL4m=1@b@gQ@M;Nwz%Pz>yR}y!)|j&89S3>N?Qdo(%f8m)}cwk8&yM{}_5|BE}43lbpOAEuK|ubmF6l-hsd@z&K*OF6*6y09Fd#LhRWy3hN8FnuAXy|@~Pu<7t3+QrJvxJNI&`sl&%5V@pe!#<+3vP#5G zV={9Kn<8I*vukeXGreh0xxV&9c1k;A65)5T2KwCgEna+!N>O8^7#)T#zhyz{l80T^ zTmXSgpD)b;(+wM1#An~QmM1#~IP@H_C3}D}7KEvYt>H+lEWj|EC^fO(8%-Gr0O#NY zRNT7=)dV2L$43tUQ2b4u&_{Xx$ne!i(LEAk|2MdQwJ5MHwHj+Uk7%)D>hB&3`m5Ww zkGETo>u(l5wzg85T#3W}gr@3x%%f^d4;{%=$MiC*uouTKcxP5Ng7F{~$)B9ch&*PF zVq-wM{y#-C!P@^6O)oNyuR3kYrO{9ciVZ*I(}AbipI3uwX-u*Hzom#kTu;IBB*)`U zWnn<;@j;w&G)LkLJ6MrDfT)jw71_9ZedWKYwT+G9yX}};x9_j-!pl!`*0L!8o$Plh zXZGNix>U)7&pUC!hU}T8F@h7E6*|c$x}-Y#+>aBAiGWRVNri6|dpV7iO#7SQPyK(( zj*aSPF{|-!c*DbT2BCA1m44zT#zpQw1c9!Fv3O z>sJiigJO4|c1|StceYP-6cfXy)o&%Rg;hPfHbBZPIlS0PxLXoAPqDjCbbJF3t*r%I zKvv?y)hEbq>V|PKTY!(hq+A^iln{opx{0d5R zpnc3FX3JxZkR601kQ&OYt86xOLnr-7)yVI1ctEFy#ABtcPJ29!hO>yXMNC=Lrg$>&DYHK=QovDk(X@girId0gabwIEuY;A%)CuwoWOw0 zkJsWj2!OW}d{HhcbG;iZZ|aJ{`T}LAt(-{#y*d8av9}0u_%{}-Z{u%V5;WQj&?gwW z!0FyAy@Do4FN-B>?*$Sf^$_y|KCgvod>GSpeJe8~8&5X$my>V+P2N6YkGXvE>YhQu zo+VSK?V;!ykY+wF5MsbAbKaoYLCc6wM7%#iMoYKfOcy;Yl;_OvKKkntyOLw7m>j?` zRcQQEl^Y0OcjGwuDzlTuI}8Fg)bU@q^7T`x4w8gFiK{|U6hS&9z&NG zFadhSz>(fVlyA;Mw$Fl+XSfeKtDE-=-yUFjJhi|6iG|A;6zj8aSp#CPz2>dKL%4kj z=vkb)ze~divuHoOybjsqG#to0)NJb0!ZH-KI+AItL{AdShwEICWH| zh|CU#xKPZ|l%%A8a*h*MVr8M??43o#OM-_nD};SC$<NG z?YEOyz&Ng}z@^(k&hLthI&psS`oB@653?;N4um}kDADV49y1UOnjr^r>qM_%+pw%E zn1yfh0@Asz&5z5Fw;yY(je5h(UPi`?0a#r4R&hFZfqQmV0c&6eM;F-DlLGU`_kOED zmIn?k70h>5t6=Gto&v9z{30rl>5hAk3T&{bIEV-N%#?Jek6jj8t+@NO*;7dXw9TAN zoO-~ry(rNE+D4CcE}5I@lipn&1c+f0!^@ms!S~s}JU&-M#sE~zG6GQuk+|0lH;tHCHL{W;o+LXA4*|q6OgP0H;cNC|CCl2BSFpi){3gWnd^v2LeMJU3+>CM0w_0;`UH~^nk{$JWX2jEbK zr45R`l07|?M|iRI_l!lC3Jkzgffz2z*;#*0a+1w%O4&DQx*Fho@NPj31lTLvqNo(y zC&ur=MFm(aFTh*(XZK)a*0=>HAnsz^a`_(JUdkMI&fC&8oeT1Pb4;mu&^lhk-=7@r zURtOJuwZdBuzqMIFJ5zy2;z;u9pHfosEEy-Y2K6=eTzN2%2mV(L~xd{_?$sRXL(Gr zuU7J5llWgdDU*Xhb<9q5Bh<5)ue)=}%1X zHVxH(aw3+R{w~Y#Pk+B26#ZX$NpKeWlVhLd8viGU|BmX?{I#-b4*uV=##0~qlY1!J zANEBX)jZbUs;4QP+8)`u7QO=YYp-tqNv)hAvt3VMC|6i3O`|@_|7{3~Ie{!!;r~3^vSL0Wu4Zi$tD@+&_R$s zcEv7a^F#S$bEUKDPc9A%eaMq&yGMURcbv6H{1s#vF-PnC-7>7GFDs9sU;f?9JDY!# z6^AyoKe+;$x2{iAHQkJVa%{$gko?IB* zRI)9G?$4LKhJz5sOs@{?SQsbg>%*L+o_R4(lSDJ~)4JXYp2yZ9dACmqtRIl}_D&*L z8$HT7!=Fm#z15x<*T&0FC|;NXWj@JXsrd~s*nH1^vlZX8#ZeAfbX6;-KW!ruCa+Jn zt=S67O6I=_O4bnM>Hl3*Zc#4NDR!|*8jqKVZo-Dw@?~-9g^kU5y(ktyhrqZAnvHlI*;ljh$!yxpxY)XSCVob3 z`O`a0_i)&gQ9L*(K&5fs(6mV^4b3Jsb;X@LuKuqfyjlCId@qx2Tebgk(}6+Hv$6B( zMH|VhPn=aeX-*j2+>M*!F3xOJ#x#XKWj>VaRoN5$O$W}U3RDTZf2!|=&fshZC~JH^ zI(ai+bO*E5+kpN^jz@~NQ|7J@I%rWYo{S&sAGhMJ*!~&kZc}?_g`RSs0QAZ`HU~Y3 z8f=N;YSm{2%sr|vQO#VbiOlktXY*!U&wkqVr=#O&_KGBCU8|77jcp0hA5A+$7K!Rq2(fY``FxugdyX zahn|7zrS?d%vbIRfW@xcl_`p&p2^0I&0>4@yDszp7k$cge7rQP+!say6SeXYdDB0S zKOuwaLvmndYAwR8$Gg1)Xycdy?ukf0<7JZ}(aB{_>LB8#MSkHdfooE;m$)>S?Q9y%vrGx;zS3pYol7qA(pP2|&hxNWaqCaw~~ z`D4}S^C zsDGaF%IZ77D4)tPs2RlkVrS;5uq>_d;Da_fnHmRRrIj{b4-&8!{5%0{N)!#A4?}wr zN(OLbHNVtA=_A>2>sZM7a|(n+@tGb9Jmr^;6O*W2Rgws;X;7p z%iOdO-}qr3S%hIdwWlqRf#yK0+sn2G7t%tSn-Eb=%E=nX+j}jgO!lx4B^V|Himwsn zP_C26Wodor^QqU|0*YR)l6pT7X#q-@OdjmgX|Kz9F<;$_h?Xoc|;o(~6 z`Z}K=n+3j3=~{EMYYNIl9d{L7Cz(4IL-WSxGya_g_N(kKaC7>9eV85i+tANyv&|PDjA=nSlt=ruws2D&h1=pFyCUo7YDc2F~H;O=49Jp7q#}$dwGSefvcUE@YT7#IsWzbpqAx zwKhRX{gac&MOSC{BFo8ob38BoU2ncvStXWnWzU<)_o3X1GGEu1Umfbk8bt`nbri9K z_YIU?$T4%?`7sKp!UN<&EMWkntSwwxy5e+ub&8N?TCj^?}IR7N0S zl2EaiKZF*%|5acg-JflKaJ-KfN_%-djFhh>{!h;2RL70b@@OF%qoDKrrXT`*Av_DA zgh^_{S4||4G$~j-ZEzX-yH~6}UuGtk>QqP0g2Mmwe*i`PY;%9PLe?mKoByr?1hMI> zaQIYsU=p<E@**awIo-ZNmV&?Asu5z<{iW`Q8h2X+7KmWG^ zL~x8FoX`*-J--xo4J(Ed?zd}Upw%If?BaiN0ZnxIabf|gSQDlLnb!66V%b`%tys25 zS^p-Yd>B9dD@l%Dbcw4@<4pv z@veNcc(k;ef}2>CPqjWguG*^SJA?G{2`C~AZGne4Jx8(E0hS$^;9RL8vw-s2*wV}WclsU-RIB8ewJd%-SlBMo2WtV(3hryrlghI;iTmV!&m zycGwyCGWV+`6~B*xQ`biH}^*)Lg;2z*+F@D{!NKB0O1W;FpGz6o8pZTf?`;zNhY>n z1Gi4VhQp}sbd}t9VZ}aWqF*p#yOX&yBJ@+YGn(N~9v&c4v%$QXY)h(c#bn48A4cv3 z#HzkT_Hsn5Vve2EM8V8C%+|uzVn5O2DU}Y-;Rds^aTgrDup{pmH?d$xPA~)HUAb3v zjNHk%sKE^jWUzl&(vfS*CxT7UDg-^Di+QGA`{hDbDRXc9NlYpA8ebM*hB*{c+?Duv zP`>3o=k3fj^akTBAO+XEDv-3zRM(rbjR^hG--XEM2!d(lu>qc6{U*Sgp+$>8!FLHk z5~(Cjqu4(N?R6_b5bcKxhMN8M;(hboaq9s{@P0nptt7Bo5N|DjBwt>)Vt3T^9!$m6 z-55_cOgt=jy(YY1l$xr?ji=5&i*k}G@H7s_x$~mo)}594i&C;vXe}j1k#|e|Ax2T7 zmtSGc%Dm3D1J>lQ4W5kdD&P?xwr-(cD2J*_8yg7XV%=fWPvVZ$ac6zqj0-?NyR*0t z1L$Ytrf$DMzl|n2r-P}Uxy3i2)<8r5y&LiV{rZQ5cmLi{phGcB9!>HaSUiK{7Q`$| z4}}r5*ka93lH6~J;R7QmVgHI9nES{k(C#%4?O%D~XbjxIvb`wT4VpE_{WShPilkJc z8K20~xyy*QRo6&3_`|oFzl2lqMgCMwW7IFNo(WB+jctPo&F6N#S)~eBZHaL>de*81 zM`DE-VC?Tg#nGI%e{V7;b>a?N?_|^VYxUyYyK=2>$w{vGP)w%pXR&3+_PKr}1{QMJ zquDFB9`&a`+L@^Db7G9;R=a_p^GNOdzmAH$`&RB1{~OxH#@D<>BZPJW`xcHzilb-^ z7UfXqU_06XyBVd#x`}R6!+G};6DU9ZQ&gBgUYx|*oUI$!wf-WCH;j-zFCSG_S$x#A zP&G09VZ#b(_E#+V`zfYE+5+|yB8sh+w{N1+4dmOcRcs>)*I>>~@ku^hIyyFhZz0Iy z!?KDJRkRUh`|2ATFgK4urSGHitf_EhD3vgB&5Z z!4vaUM)}^F?mw~QOP-+^)?`Nztv~>D>Td+m$^<(3E`>RN*w&d~erlu}Io0B8qZp5- z+6J786Hs%>dzg3osj>R(PjcQ(IN+_VZX=@Bwp`Ut8>1~OY|VMT2Aj>yXi0d@zC5E= zHj1+n8Sw#F@{?hPFMld)io^i)8G*IIg{LK*k?)&act#lW`8e2_^^NcUlH;j*B-ean zS2x)3447tfutVJPOzt;@8XAuTYTjuV#Te!Jos>;Ys^3vTue@1X_eUYeX??%h)(Cjm zFw=XxX%x$4%gNhb*B!5Z%F`{eI3GB~8_tOP^Dyi%-h0`&7Gw$c(%mZRo}ilDUJI-K zF4P=9YpWpptE*3zeMo7QR6NC`H=!XrPzBP8v&Q@7CxM;O<2M5jSiM^jNDPXwkz4}^*z^|{rhZvz z%woSR53kN`ABWN8w#3yqdzdg6Cc%xfM{@xCp?qQk;W`COi#C?Vo&hSw2zRt@&5E<& z+vdQ*)Dd1A*X#fz)q6@;+V^`G%7}tRoNQoj`}C>v8_P?|u!pem6G(E1;(O z#+L3~DNl)&+(iRVf9!@|U+uM65qZ*0KnoufdZ%1@{m?sf^S3t;cEiu#pLa&Retv@P z_AV$U57ZleevezVzc7VA-44Zkzk_8nW!-Do+;sFiE^$$=9g>q0uKlF2rnpMqVRt0J zhsMH`cJO)g!_!h<*m@_f@>7%J?_yKn#M;Cd+8xXLZ(^&Mf?zXXP?i^Vei_}Q-R(E0J8QrHq!`>_ z^N|gV?%fR_gmo^Q2mj<&eCzuEn_YLGUrr)SF0?`R^I@snVE38tYIw>bLDR}6jKWBE zinWLgip9;&&weUZh}-rg5xkV0!_$CX4q{7m6+h!CVpFZ;Ap22Uc*@yGS#H=7_aQ(w zq`-5-2Z_Gti2kk2J)Gnx&UyyeZIIeKh~}riuOam`pKW9#Kej=!F|WU#LyENbHc5Bg zuzZFiQf;5g2jcHGVm{$lKhuiZ)YY@Ts=ne3SuwXn&;fnT=VM%t2p$B_>pFN)-KiS3AU%dU@))eGx)KgIFOEUu=9ESUC%^J!oqej&yi97FSk zWA9VEn3}%`OEuFa7jJ~6I{o*O3>=^LLNzGg%& z=!j+YaNzJ@26Fc>#aN=di-jMmIi_it5FVa6wB$%!!4ps=jZ8wnSSa2U24stTqZ5`&h3@go!FUB zR&HUCHbQGd*QVR|$M3fhYHKVPS49Av0+-_d>s2lIdWde1*=xg0WkPOR8W201@NQjw zEAu5+0>sbuIP%y%f0OU}>$1ijYdR_0HV{?eiRBZRY3TPE4yV!wKDwcQw@cW*?q}&j z%&Qv+=@z>x6~h|}aE**xVV7KJU>%XTeT8Xs5c2w>%n!_JUYM{-ABMbIZPov$n7S$6sB!dq9vIrL&cmJe z2X;#nR6vl}2XpZIP4SF*bVMt>X%BZxsZNW#zn4t~5)Y z-%FYJ2!$UA@RXYr1eMkEF)xCsy*k&-P}eSHXS+UeIQ|DqOto;hVfE_*qvXFCzH~A zYBi=QTauq_EL}5ZhtBJ$f?d1>iygOPc~)z75pc2B z5q^I^k3R`<Op*Oe<7j=CQsW>Ij~^!OxCwX8B^dTZaA=l#uO}Z_eS~o`aTbm1%#D|Vrf=Wx4-<+tiC1a;Gu{KoS4PQf(j;)I33u+W9~uR z>G?F~<+9@EfW70^&U=vIJ$NtH_L@JoE{~BwlN5odEm|$#2I(fl;R|`jyt4WD+Lzgr zZB`-z-aJF|LiXyzOzy9R>@f1wLlY|iL62HY)i>+;&&Qi}kh48bYu1mM=c)MUf)k6~ z=IbNFT8g(52dZKri=v-{4e66LsIoiG`=R zgIuMb%@4RpW5oINTm0LUpv06X;Ivz2X^G(s<%`^ed~gr~5t*3(LAlH|8ijyJhMDV7 zE)oDftQYL0L*YD#ydAcUZpw8);7-Cc5N}S{)8ic=1oI#eH>XrS?m3mw3}Q>Rc=i(0 zIM@-v%HU#MFN)(JQ-dwF>_PmF^*QaOak_v$!;P#=+J%d1Y@Lt9a8}OI*cU%1^L&aS`hFgiUhqC$iJWO^wd;REAT&@!vEYZ=Co6)YDta zl3eEjeSs5aloXwwdC1(G2Vl-NKexZ6F#2FOiEX8nf$cC(8H(ty{Vvi#b2e{jM-OmH zFpWTF#|*%@_m9w@%L6p~ts}GVQJX%(NT=+*NcAa|TnB5szbbxe> zu|w6};62DrrUHGyAC*O5AI+x5^#%H*OZ(%mr-}0Gin`z^M!5n3XdwCG!Nmpp|6a0)_KS&mwBa)yzll@Hb9XpuhTS z^*IP?jt`DEJg;F3)xU}1rH%n&<#912!w+o?gKhv{g&N4k0MWf>W@HBfR`rDHZ?Rx} ziH*)G`cTq!9LC$K1^j!(%Q%PR9d%c4h_tW{rnoAY##6Hck(StGjU2fP1aZS2vdMzl z9o67k?MN?v;OWu!L;ZcdNG=Y}bwjSlw2=pyhx^BsaNtR?Ess+P5tL?&q$}qj1+T+$ z_`qFpeLUMS=Ps-JNt_{ytvGobVp_TBwPM4#9le~?(?|x^Vo`qd5A&4qS0L7MA=Qf%qkpI`Q z)*Od$x;O-%o6f1I9J)mgyeK(o>iMt#npj16>N#s-yw~oHQ~&Pno;F5m{h6SaD%+e2Zvb`?mJ>n zC1lq&ORtAvb9{Pc=knzN64RiBkX{>V)r&ify1IIgA}XO6{|>>n2U&?*VH^$|B;&kS zpBB3srP$Hb3Gd8Wl273r8g3T@^aMxa6Rafln z55-EVL?se9-R7~y>Yt)Q?UIYBf-BG^MWDNi6(%v5jHhs-7@yC+fD^^K4W(H=X4SUC z3BtCv5Y6ab+GWN&7H_hVPEH$mOum)^dPwvxlT91XhtBLE^|Nv1gW~X}zV+r~e!{~J zGCzCda+`s}q&X64>iRd0*raR)f2bo8w?Ojc1K949co`Lhf{!Z(0>F)p;7UtiuVZ}m z|FY3s#|gMoys2@Yxs~xxIwkxoQHj`fE8(8p|KVO4Ci&v+e~W<4rF_~dFgT?|7F^w1 z)GO+UowK>Q>2opubzJea^ylVboI z3o`XLeEGmH^G3=Ya+eyAroV4Na@Y~TD6@4xjVbKNNs`Ux-WGCpz7BR|8^|=I@2Kaq zJvX-B+)zpFp}SuBW^9jYENFqa;RPw+N&O= z%pV*}E<7!9$LjC+c`yU+2jqO%kSBBsS682y*ash#C~}@U?ypR;bMm#4(})`CW!h_Y z^WjUiWVoO{dci@Evm)Elg5Q|DyrRqrRlRVznCn}85)=eYh8GkCK0)!ldm=kIfG>S2 zo{D@E=KC_y1TPpKLtFh6*D5FeEvE@Bq8Cn+;d8LA4v(*z2EVGA1P)(q7P0nb>t08S zzV{qS{=V8g#0s{l@BzSxzu^xTjuIcED4p_P>+aeb55H^a1f7k!#rW9Rm^(g^WfzpG_L)-h z8RF4gsYy@k&m~6u#dY83_a?KZxMGWA-SCdsWBHSO${~SnD3mw{92if>3zN7{(Ld-T z05z_|EAvrbz{W#PB{=~oUDX+pPJQD(mAj0m`-^l>Mn!Cjb$Gvgc$?+RrU5DkLND8jSk4a4KvnzN;_5bOY0XXwrc0mOBjR}wTyQ;oGDw}RE zeMDkeaXG#Km-ftL0ULd3GWRjS) zq3YI~Z}ekJ%9shA?6#MypI;PE=Kg!*y)Tf<0j_q+yV6~oU676My8>ES+jzbizb+hji5FXxD>mpz4kFK&CnlUh zQJ3yJTLjpc`EoO}v4{aw->R`QyK-NW=)MFvk9UGF*OL*;e3@18@?0uF zS`r*M>s#epR@be>sOs*3b`D>SDI|>fbwO(O2 zd^R|4-$0nl1nNE>Hp(G_=@LsJ+q!&(I_0OzJ$IWguMAaO7~pvuzxRZ9k&;U9@_TrH z3$}HsITeVrbpOo)4UP9!iYm9R_u5PNZoSBVq2FGnu<~4@ScD%E|0@3(xx|8^e!FVy z2$v9d+&*4Z2pfaQHZvx0<$z}{+7BN;qP}o|fyqUUp^!t0T0ZOGAkp1QI-FZXyPAdI zZ24^FaL8o=m9e&Gl)!JRvbC@#faQnASge6!#g$ z7`KPSWDVk!A`Qp8ij#%o4WPUvS=M{%??hKjN{Lu(NB`c6Q(+g5(8uz7kfFm68V(OI zbi@}g8LF#Wqkbnxz zuIY-@={ol=O7-=rudb)|U=HF{TRJ-*VPxy`Zo87oNd4W!;(5@c?aVO#dyVH8WVGcu zzo4ScTEqK$R!*%Y2s7L7PPF^|o;DFuHeXh~ORm`dM(oi=Q{k4o<1c{mchOM2ifrF2mw^l;l{*nT6On0#rT_2F~%>Tj+D#?_Q3;uJNv8J0Z5rrgY(f3=C*cF6jBx|245`MPwkC zKi{ET_-DxlYC95F0aF|0o1JWMG%~u1UsI1~(8e1Cc;N(e3|*Iet=Z{y4)XZ^%6oH9 zFDiXbWVj7OZqzA{Z`z^D?CZ8vQY>Oa_CB+(`)v784ngYH-AZ^)V!7<=QQwXNN&ob;e}L~7v0VXb@Nu)8dz?yeJo;~mb+qIf zjp!|7s@PMQN#~;!!V&r6IxoYqOtT=l^0%<|71X~}KsX+Kj*+~JlbU-V6S}_;kb8D5 z>HdF|U5hWrj1NAxu{Ymv%%vN`>8_cF_$=E8xnmFpN?Hd%Q6;7s5yolU-!(=a}Fke2Ll`?whokdn5deBIKdw4maceT)m$F4J5`(vUPDSRr-d7R=s+SQ<$`${x3>; zH5CV*@h+9O4zvvQytk5$XdQ>w&#~l_(;G2b>+@C0{zUifr58{m{QvvE{U86w|Lgz! zfBoP7=YRd5{?GsO|N1}wpa1p0j{pAs*Zg1p>;L`#_^}Z>x&0M9L89P$LQcr)%&Es?NW4R6VFGV%5P3OcQO&wu|ORnbT7qPnA^rkZcS;{5tH zQL+<<@Y5wjJcrMJKN$EZc%rH3)kgC}yLxZD33XkNLDK!EFbcemK@_a8SG)g4k=b3n z`mpx9)O*-cZ59}Mv&l{SuN7CVoPqUT-4V2BcVEWexBQ7$tkoU^<-%JYH9Puwp11`8 zdH#EJUx8cPcP`4QDzkad&%U0{Cyx*kmKR z`FfuJZtAQ4W{2=oRzQ0Utw2Fo)Yg?e1y@B&T~eXu!kiBeMC^*Hm<11>(;`af9-EeKqCs6rzja*+)UA29|&emc% zLwB)n$^H9sLZG1e18SrWx%K~^uzka+C<)4yk!)-5gWcDV@F_WmM`D0bP-r%Ny-{iZ zj)pR`mifJP%PbSo)I(-@4x@)MrPV}IwrGRCj~@DDJAic%AMvkB?I^S58PAm50+nYD zca%h1oBC=5`(M_fC277}q28=l+>O53On5Op-jK!X{P)llWMy5cA_(f`hL80@#z7X| z9TQD=z^I}sDB|E}N1qxwgXs2aO$8qRRbaW`WqKf#Om+5h1$Oo|KX9HREY~B~PpjAC z&$mL>rFlD7NIQ?F`t+*%cZWN&xG(Q^L7j25Ux3dyXlYftgC!#x0R>S}*YFh;jHq=P zcE$K#)%z!Ku4%dZMch@vi?6O1#in*kb439+wZ9wurnh^PJ(_|r4w?*ALwUtU-Zer% z&#MjoQ6m|l@t%NC5Z~FgoN&F#HXx6kX1zWS^VaG6j;4a1!>?AjRs3b{sbw!HZjp?& z+dcaW=(OmQ|#_onj}^<{&WrJ^|JhlJGnfMbf<;95e|`8 zo9I%~`Z)9+;p?0_8LZp9S9l>>H{8kITi2~bwcS^gF;ZJ6B3r_;(Nquyp>yWJbEDu`anUf^&(EvV(DWeF+T^fU-6cu3qA9jxmYlg`alyot;}_e1 zgIQ#2Q@aTg!aXl876qZ7Ap-cXpc14X4FhCx>&CY&Un0{*omrSVEm>t$a4VQf&rR+V zA8KF^?=OB81+d7zm_U?dxzLJK;XXqnTJb$ExhG0$byh1@`~SOR*LT*d!8+$a6w2o* zCMfmaiGk_phSE&v5k^5Qr<&>Kr6d@V3+S%p1{`2oM}M6)oP1MF%kxCpl(gjU#pQay zvnym+aunvS4|-~On%e#mf8ycZe8u*f*nEqYr$;%dA-8h-s*PRY_q9Hq+T6DmMc9C~ z%=)1rP&_)39>UgNUZcN~S)}*N1x<7p*uM3Yl^}!Wmj!O_XT&Xs4b7kD+th;hEX_Mu zJU;>GC^%Zho@F^%uvGzkXt8{`#AA2+6Wm}|w$?$$QtYyjqo7$w`$?5VG=)E-b}q$B zm^ssxg#1$T@IFEPP1X5~gc0fbrw9f##Yk>$wU51pAc&THEUKd=zTHP17zsItaE{a^ zy@H)IQ%U%=K5I5CgP#y?6o@1VYLy;5;%3~wAm}g+7Q`&rnJdRDaF#U#SKJ zzT2RoR>6$#R_L?dN>;ixlNfBEJyN?1jCHn{YC9s4xY6N~D^aJ;9Sj1vpXm*Q-u&wK zx6Zp#q#k0Gjr1QZ*ggPv&Wz_5#j3MA(Hp@EFryzzR%OOh6}LDM(Tcxw@PO1GeQ>&6p|(Aixhza#Ak8 z&qIPjo1t_=`+ZYfqM*@0`ZpXO7c7Mx|BY(b(kk7euL%Fea%aGI=2L6eEnRMKyooQF z*(jRipwH;nN5LsH{7`{C2h)8qe(oH9#>b?jI4ZcHc=xz6Js^P2nN@X`&UVz{qulFi z_NZhCe)Yuq5Z?4BPmS=0t}Vzh+PU-QEEj@4`V6PEcJjZ1<257wy%OTE{G!=Y=^ld| zs^p{53aV(Y>v~2Ki|t2!n=qdBQ#ULl&-kZFyAtE1 z%ETV(An|~J+8wEHbK<3AcmfJ$+|An19#Tr{;O?P$65)1L2lfej+NLT&jE-Zq{3>>r z{dI45fh`D3unt+==`n0P0AE0$zmF-8FjOHEQ|-5`9E1PIbrshTCMnPlkl5NH z8;?K_$dqh1(r9kYN7kmV3NZGEhyn$>40lHb=j)b7LG~^ww-53}+V0(Sg&phIsnt-Y zqHX`J!PP3`H{)df3dW;DY1709?^0axx??2UoJTy!q?;!G)qtJZV}n z2VD2x+&;g%`(^+N%U>O-THlZu6toJec0pmXHP->k*7>e!>H?K*ufHC$R>F<-s^#3? zu9DvDRpzV*$n5*khaaSu)S-rUhX>$nZ|r)+zBxkrf&@F{n1&&GxHhwM$AVOmcjw+)`B*tVb3+)3pl(zns8m~9RaF%EwGQpis5tJU4H2mGXMGlJy0SQJ z)p>9bVHh;wZcxyj$3+I}2M(ae%(Ys8;R5<@!*JGE?@{l4VBE`B#P=)3Xm%6Tt;g~U z6!8tV=wTA68Fd0uGe@2|HPB{dWsn==0p2@{g$qRUf}Ps8tmv6n^7b85hiN!~&WrLy zfdR@><7m#ORDTy_d7e5g%mh4;vF}d?<*PK7>4K+%Vs*!A+F2gyb8zWQt6DCoOp>l) z+2Z`u+B{d3p5O5u$3{I3BxH2F9*cUf%IT=J87?3%9;#sX_$t*#&<*$rs`2bkYWF|+ z{yxDEke^aHRYM2`ytcr<)3h9U$N*rw-vtbWTQ)pue!-n%$d}#GZ^J3T_$Bd{7ajbY*V{jNv7QC$splH}PBY9L}6+NIQip^6Po|o~4 zn&J3bX=Z3>d*E7;ZgPD=aD4td=UYkFMt!w!D%n_E#t$gL9POQg73lExEt}Bb=kLp? z%31oU^gy^_v>^Yq=#x0i%d2jI+eQ9ecih_6@qSW1*D5k#%|*Cg9DD1Jw`~F%nb59x`TntSSB^>IHB3xmS5MI3a(BqIM+yyK|UY&R)nNlb#tOyn!Y<`Q+Xl( zHgym?5%Wb2Y^4C#qC z8eo8Zgl7|IKmH)R9+-MRY5!1A+;r0gN~(in>QaF@1!gWd4h3Ax7hJ!V6-K~M9TMMM z5VL@4NV5AgEGM{45U>Z3P089%NxiQdC>An$$r^aY$@C~@3YLxJv-3&%zFeH!R}{s$ zmSR%UJLZ)Wx)u140fdlaO=90RAPM^iYS_p&@^LCR@QbY9I~CfmY!!NHL)t{o4PVh( z#T9lI^pNZ>-O;l=yH!1?Za;G*W78a}V1#n&sF@6(ecpAcA%6A+l{KEA-bhIljIzRC z6@*||dq#U>WS9D`56AZJre}_vVj1g+f+^kPml_h3LKH3vPD0C60}_v~cc?cUs5U!y zbQjoPi|tgc_*?LnW0)Ql?4tG4yC%Olk;8v-h}mK1)D^4yF+VqK6%Q(tBBNyeC;E$? zTh2e?p;2&*CTLAp>>L=!)a&hR1@io~UU1*;3ziw&w;uYpBANlf?JE9G>6oo2f217y z4H2-?_S*3s(Nf)ACa}fK_XRs4n-T+Q_j}*RCda3%f*aeCrwlo4`?r5@@s=+aETe%Q zzqi?h9>MrgP|S`R2_UjHFihU{!YcWk*U@vX&O=fNi!&KxP`Fkk`9kHAEr%*mL#akRMN9MPjQ& z1$q&(4OxeANyRqa>q=*U9L)s*#ZJpFGFS5X2En1=#_8oAUx}8!e(Lg)xcm))7?3~2 zb;i5lHFPZNBVHmv|7+mfqc{K4qr&Rsf?jbO8ld~-^;aE;D*b)Gzz*@Nd!iCKjNvM- z@5tDzEKMH3vcq7}RU`fsFVn#NTrfNem_Q2!D`suiK$~7SfTQ7L>-3^qjl2c^@p!)i zphh!lgkaupSKKgQU9TEgMx4q?i!#ElWsVqHAc4}<>}}mwIJ|6YQ~;D2%-&JK&dNVr zMe-Z+)X^rx_O%6RGo9fp^Hc>&^SmL}DCkyfr!PokK;2PJDLvy^!2xO&non&%S|9=2 zWb`pkg(_)J;<_caSZ>sYPh#9h1woN%QJyW%yx(z!H)&4w)nOc<1=3&Y8Z{@SU@Q5_QAOYsduHW+IH-6K}$5joleykL#{flDFV; z+Dw#@Fd+?A19kne9QFFqE38884z+mQxZk%5URPe})8-R%qqWx(lSJukbB1 zo^S0Bh+x+-Uq;3@Np|+n2i?Um>875LCi#OF-`P5<1JS`i7q@BVbkx!~R!hE*;u5U2AJM3@0S?BvrZm8b{IBkHaT8q}|vVP;=ooxMl zS`<#F0di{7n$}5JD8>hO(w0CD@-8)4C^uOKiGArP}IYG17v#dcpu?scY*!&q%E3@}^ez z88eM5SOM=@rCNz5)B_Xqw54&v#$v5S-{nu`usLh$iGhZ1S2t?)bPJ(z*d^zJO2)01 zp7r6hl!={PYM>f53#^)399}fF46Vu?=Pv>MLROVj8U5msyu{BBtco51le7lM)QcwA zcxfMj<>s+n#upT1!`~)cSY!B(isVwGikCd&J zf>WfZT2$8wL}|D;Zla-u@cb)C%7p7?fE7lwMO!=I!3G2C)$XW>ZWqh|6Nc|tit;E; zo=o|s?QuIYRMN$cY;Ms905QIwgA5SHMhh>=t^C|u1<4M3eZwewtmGN{jUSMN?>|>4 z;OL{Q!YDWfDDUMOL*if+Z<~(~U%&-6jsJWH@b~MxuL7amzo#IW-?{@{jtW9Rqh%fW zqmv#}a=;P8HGs3vlSVZ(v!-|yY^1K$1zKKqO9WnX4YA<)k?jquRY7uO4(Wrt=oYLp zBB^z_g?z_Q1Z5n<4TK{;Hfaj%@~H@k+CV|#Fj%c}$aJm6|8c{}$o~7Rw8(Akkca6@ zY<(uN2IOsvw^m9(v0utU05U=+s*?bSNt#XWF6iDpv_uhzJ-*GJ`CuM5fS%X_p^-U@ z$X2^Okl9`9pv3A;=~75&Z6c`Vf}s!AwWlICgOMrP;&wn|+i$TmGKaQhAh};c6Uf83 zo<}Pd(=X_emiIrN(*_EYkbkKWu-!;K*IN~{LPqW>RanOvpvC0~^#;Mb3o<_YJBZgvTRFc!3ousVDpVh zu=_`C0*L*77G|)gcti33H3qk9JVmvnBP?<$tIc_ZO3P4j0J&0J% z1kki3>4EO(twQnCq8@CG^h*-8{Jik15xw%5N(}+DetZzw4FoGXU}-Hn1uX4SV$Y~3 zC~1VGT+!gSylo`>>6~zqV{@mZ+$!$V*mp!Oe-ljo8nBzHy@szL}hF zT@V0;Cm0x6jiRyt-geL(4+O17bDTd%|*T?Mn;ic+JQk-?01x}+DImUca6t=3bPbn~z zBzMGpi9OZoE55btwEcIZj%`8H*F8LNrRTmWER-MI&m#q_#3wj8A^~h%=&g-g`PvsWizSt22W3RX$aRWzw zbU{m!XSvBcxb3ZfOROlStw%JOo}09kj*ywjomqSU9T74P@))X-_}t&8`=8i><%#-} zEBBDQrpFbkBU1;~et$HC4y?V2$~1wAwKw~)<{ZHGLdI+D??`FvObOKMdmBzu5iDT` zy#8_2_|-Kl+=D~&4qn+$Y)uIp-$}uBVR-9f^NUQRo*g{4^?qryEd;FKlAhqeFk7zMW80v zP^ZgO>l|x<$5d;z>>Yg+*OI;gkgaBVkldcA-Ai)I+O8F3RIa6+D@Jzk<}0!txH|!D zwFaw3A>j1)S&iWe-Q!gTJ3O7v*CU3Z4i*+$F@L@%?AMwYbagrc@KHOu(SnNd=|Hj? zfuaRrj5yl1AN$dJ)!*}1ENXh{e8MKvCAW%Oetbo^A0t;hj#hbcF#B-if;xI?KZT!C zy`hzCL{ZR$2D0^hwkoD9#pQCX_mQZ2O(D=U$L`>QD7{Tf27Htr%38p|zWeU9^H9n(`!aI5Z^6N2jF z&vQ<=d(^cz5Z^g5BW-9kxdKF+t=0{FD{A42^0sY83PL7iSuA7s>s3U_y3^j3ScIkQN3(sbB^-ZS|LmOEzTa2FJw*EgKt;XP)^1h4a(u9yWFv)sLg zXe)uo(=LP8L83+roCGF6Ydf~89NoM+c@ zT0KF}!*@cSN-FJVWS!9}0dHpat}A&YCi!^K-CEkTegbd(@u+loGsEQXI0UH`cND}YU!dPq?y-xOR~?*5i>4XZz`E@^4~2}WgCRLe&kZ}KyAcrl$d z)7=9zn^k7L%1ri1e>3o=ID}iTHp}v%H-lGmeC9`aF|7o_i`l(4Nxqf%Pc?$XN1dhV z0W^6t(q9?{oQ@xpa)*mC$P>NkPKp9|@S6}zI|W>hR(++btrNGnbfQHYnfySxqWQ$$ zwdt)ox>`kq2hpxP%L%*qSx!zoZOm{E2Fs#1g@&&F-ySIU%~7CM+?|uFR7SY^w2aF8 z)Ia1wv=jCHE8qg}*w4$bqdQ2I|KalJaEfVl7xh&q9sb9}-r*HcJ`f+XD#Y`KG2 z-zIboM-c1VLf(BvX#KTk0JrYw+$H%Y4U+om#(B3bKH;|0!boD|k4>_}df0?763VaN zvdXJ3$&D-r7NJ?40G2D)& z4}xs4=iBlD2ZZO5S~^ZnQd;V6{C$eT>abeg&l(QYegN`n=d?j0FEVd}vM8>=3APRw zny3-8zFH<;zss3YC-lqZE=-M@mH$f~7+zrFvw zz>@(&W=A>-<28Qeky9|#R?gdJe=d# z1OGdIOfN%>x^VO|U#rp)mMyJQ102lzNT*QK#lZ}$ik{)UK737o1 zTvq9)YFxjN8`AwUkXF@^h(mX*I7*J&yl>2MdHI4JhM08t9*HYg zjY!A$^5~-=5V-07KCN~Iy(ng$w@B3i`H!*PZ`LTcqeYjW zt^%eNt0^itI_}#|Ibc_Q>L5N~L-y9b)$ZPkSyP?!xA7*w(N)2S@9C#!BuAz!LVq%X z)~pcgO^S}}xD_KY5?4>n9y)!)-yV9+vZRNOSV)I@VusqqS5zSXKfz))m<#G@-J)tPK`17t$omMh8O(xNsz+Am%KtyrJ| zvI)=shpJvPs{Io8C}P^t5;-Re&}in43?JVh-;Q%0HJ8+j{`8PgX){$fWE+{LMsDk7 ztzimDP$J-@=F`hmNn#&#HXq1ax<1hnqw$QS8RJXl_-CIUZCcaSjyb@E6DyLw2z>_Z z|E?=`QnyMi8f3CD)J<2MEbwc)Aj-he*lcy$&~UHJp-bZgG%{v~ZY~&=^^JFc;N`jP z^{oAs*k&s0^5{8WPpwD&aff#vxCf|OoN-VacW>1ddPKWHsPHX1wByyjRfg?ch@{b@ z3wsOh$zm>V%cv;ArO^-L$uRCsaG+hutvJ?qeCYqfCO9k$FVO|H!4!%HxdzG8x`T}7* z0pa9}t~z;WKmbMU8nhI_s_=Xjpw(X{N#C*(1fUNLlR>jnS%ZC5*sbnZ?LQx7aFCPN zHU?d=zZj@LaU@fh209saf1ee0RZ`Bp_?eYP!B^~XH0i|)#O97TcK6IC`L+xxzV`m* z6*L=xM73Q}TM16cwq0pJ;DkIrMvAe=PE57#sQhcPz|MA)uwD^5vn9Wy0y6$&Oui3K z&tJ(^oN0#c1dG#hY|&Q1w*@ykz6Hz1wHGmEHIPn(Z@A4!5!rwmQ=F-Z5S!q460*6&k1S!ilVg9vN=H(rRBe? zzq-Plp8t0L;aDvaz2P?*tI{jzD>y;QBaX1yiwry8bw!!cdNC1lY$l1WTbMUUur3!= zYOSHK^ruQgW$n&HF?*p{{nd7Ij7~jc7t(L(O@Lz6N+~h;QiTXj#2?2w{^$;Pvgf-C zO{Uy+O7!NEQG`|MV9f95qmNHGyM4CPgU=4A^yga=x-W%&GWG7O)y`hIS$zXcZDwIx zYWq!4iA-%1VaRTmC)+(AV%|C81XC#Hq$^xI*OhD#u~xzf*SMo;Ro^I0TZi+%f`qwf z^bTejS})db!a44Qz0@w}Cyj$0R;z9bAx?uu?-kK#@yyyqSS>WcnN2MIaIwdZk#yA08;A$$ZfT29hJ?N|Mo zaHbpMBXN8)LZTqp4jG~+o$arNI>8cUf|=<@1QGi9i%v(e3b#LpGW`L^VmYoKkK0jc z>6JNQjv(&Rs8wFgM~(WMv>t_i&$3>L-D)BSicgV8Pp!zkp=r!C$Qt|-pKz`C89N>g zajs8z*S*5&5!<{A!y{mqRY`JX(e_)^B$u8&$4h$c8vbT|-}|*xP3BUzl_<4Tn9uSj zy_G!rYN(1NC@`T3U$~cIPpLa|mXa7!zOEO&@i2K;p3W7Pz+@Kak;)%45zcFGt;Y7O ztPw)hO?a|Dy5NNC+AMY2`{=3uy}1u29M#&`~OA>qROl%Wz-KUa9}| z)LAB_rgnnR!**1?$@DoD2+jvBte?xu2)iI;a}T zZ6#2|L@t)Ub`6`1CZlJ~2tHgAU$BfblMZRKEc>y6x4O%3GG)qDJK=#g-qrngi#m(X zfIE3uYnPmvDJrJPSXs}iqk`Z50^aA)MWWgV~JNerUjG3Z$E#q|p*b zF)C||UN6GLSA=v!Qyr%`t4OY~B}7A`b+z_SVE$Y!A(>hW5KZe0BZ7lWrgQ19nRTv8 zhNM&W#7S?}2B2f!{V2*y`)_k>-o!D_Gi3XM9lW}Z5lHwV#X|&%6Ct#LJL|=U-2!gY zOv-qTQ#x&JKhh&svULxAy;a`7TyXz6sl0)t(@og_Sk@*^j{nMGzY(rt!XG<6Fr|ru zVnS|JKysSj3(%Sf$Go2v3+`1#o^mQICVn)U=V3vs)GR+;(We28OY#Wwj1m|uWIxnM z=Zdy~+y0o|{^XrSQcqYvXI4}6#rh>DXr8z$jpxu4_Dx1))qse3QxfwL&GR>l{{qEu zI}Y)L*6Ya5|%~d2FDVvGYtSkdmjut41%@xWqwEEB1CZVxb zFD7wO2d)0wW#RA@$?PB-*Mb4d97<|sf6Du+-X$^#YqJlD; zx!15_pZTgv3oG_E2i8(S(L;0NU0AXchpajZ7^q;)wH|Bb&#_$Q*+&m~DojX;+7@XY zrPD1xB~k5eM*AgLnXBCbOvw5y_4I`}SgX9W04-R6ypA`?H=4aZFd|>AdlKHX5cwK5 zvquHtxp)8VS@vqde;0#cZ7n-0IOc0`yOMmk`TrH`#rnBmRuUq~F$!ql?o}=)Ds^k` zU(U5^Lgh!0{_wZ#MycDDpEq4Q#GOVE(k4a9poQg29}$qzIoCym6Q zdc2s_NMBqRgimK3%SC7ZQ;j$_|9+n#fwVqm@TB$&Eo8X4*Zlu?f#-`rx3qECGGI^mVMs5k#Iw4CUTO66z{V2%00glXPAKW zb&IZB2@=;${tD{k>qegq_{{!V>K9YH-xmR}F4F>jJiqHc zF=%NH+}6UH=jXJZtPc9J%j{|Tbr$h`8|OaJ6sK@x0s`z1zYP|MrMyyCGT|T; zttq8jo}ZC8Tu*juqlhN>#an=>lUvg6Nq;=48f|JqrumQ@6-}wXcdt<>=gRJ_P~EN} zAV__lP8LFqI>~`LaACPwBT+D#ZXhf5m{66o@)G~lQCfq-Db{KR^5r8|0tXV^ff1 zu?k??BM?|wH1~*ND)7M`mHbXKemtS1P!mScM|ft@%&zyMVz!y(TU0=r8Ka^){D__v zU=CFQeL--Pt~CKB?eXeCdzf_!Duv!_+zd%_G7=7E&*u$n@&(CBq6sq#GbnS-hUxYj zZnbBnp3-vm=0c#tu>nPQpv78 zZl{j=8{l-W{8w`S?xJv^|9!9X-;bsck?J4D@4Z6kpu^=R5jyYJJT8_hxg$4l>GFAM zM39r}-4<5RLJGXu>n0B4rXbs$0$BF`MZeLQ1KpH;D^ewZV&8W84HYENTyV_O?;ki_YF*qSGmFgDlD)X!wqk1B5>iGY32LLH&2? z-X^me-q>ofKa?h%hL_2a8@AEQzYXds74zs#pCYhk(cs2;2 zyf_S3u_~HET|NtHjw;VHoet=s!RIhJspHru3sz1~+;I+aks3Rs1?cb~>8wyk1;vJ< zXJGlT!Y#Rl)Mu!Mm;Y(`j^I?T8UZ3X8HpaXV(*Yg{9Hu{bmg%=NIz=G{G&Qfa%_n- z`L7@*yQ?Zrt=2zPae7W=kK|DZFjtAi5OF4s|FwIE?GWG4;ejsj6(?{5$vDDW zKjkj@SJDy$Gkr-pCo}|GydQNz<@z|PqM!mA_sDyiW54=uBrQ5uvctTmpNZ2(MW#xg zGXVzb8%%#&KJ`s!1vqPvH-PZu&~lqr%q4P2own-G^79ot!6*L8;lkMN?w#mNh2b1P z!ISk(?RpuNwz?((E(#t#ZQC5~b*k;y4df&^t%A`M$9Is_)Sasfa$1;=YCOpbB~q@x z0{7K)Umkxg#d{p&EHzNg!|En&st4W;cGDH!QK6k0Q?~#WJ0*6dD<|BE_b|%YVNO#` zb?#KBzdRN6JRBxDmF;ytzNGt}x+M8{1lu?O#6GWDbl_vOF`@afaT<#%{J_U(0EIpw z0JH7mxID;|YEq9!b^PfE%PQYgK@2Avd+n58_`B?P2=R zQVRQ??X`Y&WIX75u0Xm1{>68L(Hg=W7pn zbL}k4!Lu!Y(Hld|^fPa55&B#=C?x?_PEYK^_FxV{WQ{UM811q38;8Z0J z{8qPrE(wTq`6-o4Lf(dhyfWjngb`f1-a5%#`+>e595x&$#WT;r;o_fJjI)G21yXHs zauBDe6j_`T95bWc^=~^3y^EfaY3^|aDq4LWX@BsJem4jl5}bDH@dZh;v3-FfD!j{` zo*?b(He=HNT!k(PtBoj24w!0<3fDk8^JeYQ1#ymFzvb$6+SGanO4m;?`JbE= zkl>89dg^B0icr#WbrNg7{QnFciF@Mp4Ya+-G5+XFz64sxBy_o;S|FiCY^5Ia@Z+Co~2?>8<_ zn>P2q50b1XI#*sWZT1g>;XaS`SFy?6r#uD9Pj#QN@X#c8!MtgXLE3BX6AO>J{~~JI z>Z`=4nXYbsF@G1doDN24Zon-+nF?AATUvqdlXOjESZ-B?-l>HJwObD9*H#N#xRFH} zaGwg^+-g*dscrcQxBTF`q5mA@rihmN5SjV`KinswBHDQ_LasyS=z^MGU2>)M^?PUr<|tAyeDV8v$U@3pOt{3+X#bDr(~I=dW2sWRzj-74@VeU5DxmLi9BrvP|E<|ADd3mnU~IepkN^HiyfF^? zf5vi+S9|y?$sAXOEtwIPn%Ii5ySpI7B63DthS1xd?kleO3dFm9$)jr`p{;_NfZJE} z${wyddRS7VUt9*_TOrY_^%r96TZ$i2-4AWgDZ9AUTo`~HV(X@l;&<>Z_EE~M^(XJ| zQRX7FKcok$asDd!UsnKc=VOT4{Wr~>rtqqRLB`;r>RX1?H)y*0BtR_rBX!qO*JRHD=?wAKnu4eRlElaQr3Q8F&EY=hg3{80w-&amY+*@ z66~l|JD~!i`Tr{j$If;^8MuaFhF41a zV>!-7t*z}Q2*Z=TOkO&!T$sF^g;bk9Aob2gkb?c64^h>HJ!^j!Ek=8f&qRaeNgJ?; zS8g}G%g=!vmx0%x{a9us>(nf$_>*S2KxA5C2;h1?qXs4)QP4e_t1$U^X6ik91*mKd zqaH0_@+5G3v_zS*E=V6txV2mmf!=j<-_|> zm7bMxkp8K-zw)^0AuDb^Z|aP>cDTJ?#C%3c;(U7!jN4+!cq0clB(U^-lRhsEvmW=c ze80EXe0u!<_)mzbRb}xV$xLyH*+mYq1_9co4l6f^CV4wK@!ZkX3emK1Pt*3prGfNUU*PaDq%^zYIon ztI2xAZ3*^jl9N@AHo(hJPdS1u7cbXz!3v=%D`Xbd&xB``=EpyCXT^zlzeiYRi|1aK zkaE*-D_t|oyicpeUqP`^=$4sa(5AzRd2u1ThEuU8lvkLjJUI|4(vpJKCGnN`Ro6f6 zyo>ChMl-5SD@Ya%b7l*51ch$czidZ-^Nql!wMOUg z%Sc9UtP1wIh*PwS*R4d(U#E}3%U60USBk-jDGW^7`2AZ)5Kbh|eOitSM=^Dfc8qlL>6cvmDBJOhL z?q>hYMS!2Zpc>pHadSNt8> zlF4xJ@4pG;L>$m58@M8-HC0@XObf4(u#F-%C5I97#rxSWd$RK2O#oiy z)wHYqiE+WurPzRF-EY&G!d;doNPo+VQd}}sMFTq2h;FRyOj-Was>*ERvo=}g?AB{? z009;1s83iam^)i1R<;v}&fq6H<=CTi@d{w($GUN#GR*}4pV57Y5o}Y4YQ%W+@|~=wzuahPMWkAOhX(WE8ne6W0E`D-V+$L_38<2VQ>ud2hSHf#RS53!tmJ@ib

4O~>OmWBl&N+*fu-9k<%eI*f2gL*_Q9EWT;ir(W4g6W^bS80PBH^_Pxc4VtKZ^<_ z(*}D#Qd4K#)lB-t9Kh`jyl1}NfD8F5Yh@YVlK<8d(LHhfTDutW_%bJO8ph8ujqWnv zDaCG9`OC_Z5Lcc2w~|Wlq(M@NY)y#3M}c8p6HOiWxAi*t^@0qXDNR2>ZpE0f87h|8G=*4YN2yfyGw_tN$L&a8IC4h|mzbz7;w%*PtG z{6jg}DXtoe;dZoMv2nfVuO8hWFduO^e`nxWOn9PYo>iZLb^qwmm3TW6eW`2sQTNy% ziae%NeW5cA$XYjE4@>?RI*pl6Rkm-f)4<&-nqu?OafvaRH*=+ij#YB^cqOGm1AbP+ znZpV2SZic#*{(nVj@B0&OFw)A6xP|vxnnU)>dS4@2y1nyJfC)wfo|!|-?YzH{}%&0 ztTD`HI&Dm5>rWAiPyT;@o{d*;3-qZsDYox#hE-xB6viK^+=<6+P1cCbXFXamF;O(t{PH9R8s=b2W892>kLpYR=O;dVVcxYpt zgji!(l~-6*<9dz6pwo7pLD^d_)%OMjr$%h!5QVo^AD$~Hl7>1xNSA!QC9@?XAwJr_ zkucQpkZSpexv(u=f3tJ3DKlT4F)hsf>8zSZ|7W8+dKKtFm$|OFN5kvuHI!Qse7v5V z6nAV#T;$-v-423hJkjJms2pXv4jT^bTxN>4xz8{BMgUe1!9xai7atr*4*sYzn$nH;gzOc6Vwy^#p$1NPV?sH)K?(n2SeW@TjE4~aM#M7CgAdz5QTt7I z0WP?F-#wzl4_zOQ5b6`)iubGQ-F95*TX&oIQ_|lKd|J6S8YthrgmSAw{!IC=Inlu9 zZZsS3h7H7UH{Sh{c5T!fdPmVtM)893VAN`$ggih_hU;3Qz{y#ZH0F2=NlSjzs zr~a>?*iF%|O;WfHM)w!5-G5I;HZ4L-$7%G(Lva{Q+Yc*)KKKUL_g_fuxKS_{r;qV! zI*w_tv9|xZISm*UuVkG*1hVBlN*zy9{g?Ev^xJeYyjauW)A}y!CEK2}HA!##Z)8qW zH(~0}WIN;S$^6LxW+wg&mu91!C?xgzpGLV2)lhBWmgI`j!7k&$sK$m~dh;920?q2r z5k@<Ve%Thfm&zGgr^hp)0$aS!VM?GeJ|tb^QL zpM@(>{}oqkNt zj?rgc(*1&qI@sMEYrzrpnBWv$MY-8PN;Fz8x3?ZnkF-`VO4$VHkM4+)e=(IEzGaWT z!@pNCi1RDK@B2EZJG{P9@qdkf?*OM4??ynPl*!A>cPnHM8?$?{rFF_9RC8?1p4I8P z{3HaK(k)j2pM9S4sPS%iT?|pZl#@J-abx`vhc%)IS>36C*N1IC0sS3aejn?PBwy-J z5&L%5j-W)HIj7_-5<~rdZQ#ACZ2OB+8|wi5k9VxXK|Es@=r9Xe)x(a_84zGQqW&L= zvD4p0gH7osui)mzPYrWk42$Bg)T0isuq+h%1T8Kco|`%_{o|!j_>+^fiKnzqC$XV; zcxzzs{lVEQtyfkN7!^98`SZmrcKFi9XZZpXxxDp#@p&i7bh-O=V8wm%=Xj)_>{o*w zZnDr{>F@09%$?oawI#7}u)}L+jYh4%8T?ysi#@94gxUcTx0jA{10FNSRk5>rXy{2t z+k3bh3HR${I#$>6=2u_86kDb^Cvkt0L~3xfg7nx}|0_9~V&{PBj`8Z!OFLX|26l2- zfJ?zMkKY-1ZM(!-9b&iauwd%|*0xz#w}%hBU%qN{mKANNL~iS|H&wTb)0*$zl0oRF z$Mqog)fc@Y$N1GrvS6-L$+y@c+4zzD`>M0xpwkw+**a`;R`}Sw5!LizUk{zc9vL4y z=oRec;;8B2+a?^i_gXLn;NT8y1GJd-%=Hsn~V4>^Pu6TOK%-{Y`lDo4rg^?UqsF zVQqgi`8WoWVyKLHJY}w78-yvvg^Y7e2kKn!NxXgs==_v1ky(h{Zc4))NSnHH62E%q zsHkroRXbqe(|%ydNi|Di_6}6|dlu-Ue0=o3_VMIws+E3#Da-&jKCM<`jg`@&!*Jjt zdGY)VWTq@_`WN(G~cGj>`Hre2aU34 zH6J&E=Fr+d#;g+n#e_(4L8KG+jmTlP;t$t>k`=2f2E`&$n)>i?r*l$1K2LCT%@|>64g6b_D+-m99;C;iuGRmw1yQkKrd^JgX~{7_ z+oJk_n;}F2WvKH^hFxf@eJD>;RZ1h96?63CdV^%O&6GlX*eM{TntC2jJE9So!PO2c z4t@A>=J<5-*`ZY7n_VAnxv_(F(T*2>q4f*N4(A1kaMh`*3w|93>rGvrfHj(w`brcF zF}a-#wc1(H6Y#S*-2rTtOn0h%n)xJ|?ex6RoDT9?n+!MrRy+BIeAu5BVKxBZ{_@^Mey*9?7Gsr?`v8 zNpjRbE^pxf&|!od?{57=ZpMU`Ui|otcMIzvgO-@Sa(?FU?iGZgw)MCq^qpYzH=2lB z9{4PRnZcK!>0KKO|9*{3+&{sL;CU)>nGIw5?_jk#ruHo^Tz2d(CUhAYPEjV&ci2I> z7-B(+vy$i>%CR%b9CNZN{PgdMZbx;i=op!*wu6l^Rs%jeX%EP${3p)hk>%abwy8%g z!+^COD>=;4+RsUGV9yU56W0#oBKm1TG&9t_(`s((FRO!DT)G`kFNjl`uhv2{xZ!b& z@~RA@tga{NlKQP@IvhQ1+nC?HLLCHYOA-rgnQmsUJKA}qPRxEfLV3s^%Ww9s?#BkWmj?I2NEzuLq;KeL@Tkw}AIsRjY zZ83+Q_V2cNf6ux=osCKL@P8-!gi`8xOJ0<-@BIdw`|hiY&2^#=yq)B2V-(Xn4iHY7 zQdsp5+hyrc8wmB-FNA@)_O^BttOd-qXU*rb^_X8;I-sU8_n!T*H$Dq|&S>Tl<{9yV&dtw(Wd*k<^ zMlk)K!@3s5n_EVRE{64m)`H!GY6Hz!Svvlx<4#_Kx3i zm}6GIq_kq~ICL01#D?$n#Yhg~+KskneXzV~a$*4xF$?`QRS z>F;l0(cZ^%S7l3}Ls$$+yGk?O`H;($FyVmpcd9xw;&w;OQW-)}H<~5fy2DRfH`S-!0zvA3}(mk+A0Q4*d}G` ztbYCC{$p#_DD(v{uN|K1!2n9ns?wx*lT?%+1t)G>+aJlnV{^{GC+uglw!JFFv;Mzz zQea=5pW$gg?CAqX?*3u|2N2^%rabyT3b6VHc^nK-W@~O8O*!Po4dmzOWp5>%;^Sx0 z?~;RYOoyxE#K-^p_{L|BSypsLaSvp=vEs^SHYUfzon3TkmpOa-NF^{|1%80 zRCH9JhJ6Y={;Liz_kC5teYX=92ysV1ybD?>;VyWgV=l0>s4BGvRu`Cma#zc3 zs+#rG_}2Ne`1mJJbN8D|;KK6V-ENf9ytXLE)OHFXDkPP_8}QKPJ{G)s@oOiAx> z1K*)fIqdH93mY#jUW3Qx{(e#b#AJM7nyEoj4TID1GB})iFB%jJ6yv`WwLu!f0fvnI zQj87oVFZ`J|7Z9awVA8jXGshVhuSeE1+(uWN)~ZG?r9b5s_VO#-{$LU>)^D# zl`EAA{l<;ImnO0SE{J81JX_nUZ}c{;6@eSYo->nL)56qCj{X4m>H)!jm)ur>Xc z;A|=tpnRAwK49D#Z#1{zI}^IiAqrfULlXGmh|4nANpj2b&E@5;?6=bt>{iR0pN zfp0cyNcVe}pX!_9YvodMR~o}12^^OL9=MC%9k1Y(*kfp-hC!T`l{Ni;{?Qu&)G|N2 zhRq4ZjhcS`J&xVKok`e!68Mi>^s0;v_>(i+u14M2jt%G%>#S<|CQOEngH6L=D?a@u z@_^{;0VG&*Ww7x#@pS&|_a)@h|BLF>-~8n|3TT)=43@U}`&BduM%|zMBrn#b822uN zvnR1&#u4lCFfKHSt8CVXa>bkJ?sC9R$+wtkdHM7B;LV&re{%Dv;miKXJ+5&5T~^`4 zcX{GIAqCl=oOf-m?gRzz>aP2W%r^7aN;kv~IFSM@eBFFI#A`{0&N2aBa}>GWzO8VF zOv%TpE`x|B&}t5)pjd%8tFf5H=XLtjNTSL9Pb_En z<=d=)BDOAHg^JLZ$FA|qdh;hHQ9TW=6Bsa?XZh}{QUrS>tPu9TgdP zLrNn{v%bVl?DWyVxN+@!U^!(P0^{_5D6KmVoAdbv#?Ue6|K#QcjM<$2@1sNC5-1d0SS&ZZ|oEk95}}dSf`xWND_@tP~hy>_cI?yQe|3!;>Nwf zS^GTowz@uqHT26*m@*SeCpqX-lEzQ6%{Z=$kMGqS4kXwjW2&Us!z;+UfoHcNRB|zU zFZNZxl~0?E53bFZpCotIlzft{k_m1n;9y<>nq)il=+&QOhjlz8L_7T-<({4}cR5n# zO3vAlgb@=AtkSSAjOP=i9m`MC^|6`~);mer@lusc*v~$hMkfe6yZ{W|-;KI!7Q?ki zwQz!0!_;1U_cms-HS6(XdA%W~;7=|`*2CtETZ94ZoEd14<|Ifp%w)9KJ=16o2HQ;9 z;EY+}+knW~>k-8jCM;hbpB~p%@Mat{^{{cP*5;r7k5jp;Z&n5|8JZ^sRsDN!}j1^I`p?pp2Y^Oll*Y zh(j5`D@{9c#7`ivjI4h2f450$>3!zNPX4IAnfmp9bK9^?Rel1RWq&ZG8>A#BaZkGK zslQj8PTU83xc!b^`a}RT)wnr2o8+t&SKN|S_sUEpT=bumM|+HN7t*Xo1#)Cf{D#jNWBiQ6QdeA2APm~zEgGHOf?Pz zL>nI?p7D4vCkVRFrz7}yy$EP#Yc@wXrNXRGQ6j5?!#g(RYilj9M*7B9r~iq_Wao9} zAV6rc(Ft4E_q2TK`VsnNoUE9%Id%}X74E3#-MtZ;Y-bjgKoT(&%L6oxj zc^7G>Y_>+M>x1@b>Z%sQIeC62Kr@D5P4*Ss0O!?d5#4+~BW1~3f*How?MhLP*X8R} z`0~}?JEVMF@(Disr_0|hf~_ywEH!2%CX#@OKY1np+F*4^{bG0q8wVe%NeOuUG=D?W zmwpjFlef>DjgI>MZv)s~AK02oKBdFTn!Cak__%rE+W$$8LjQ32S(U4*Q;A)x2$6U^ zS?fLYQye+-Q#V;Fp|<)`>)QL%^tA1Dm`DOjp{nd@YILg)z-GJZcoN_zDJ#77(PAMHI{t%?-P6?*Mbc^?eiWPVUrEb7sVjk zwJOslJ6}~CHrY4iXzr)ylRp%PSBh)dXMgf}{)vg2rG2apBpI__#6452Nc( zQulJEBL%TfR2;qADW)GmcqSvqU)20$hMhdaVy*p{P+A~{^ppqQTL~OU-M&y z#o2h#^k>lLq1*y!g6i=nznQuyccYYfR9>*P1p~S$hYG2)_ToGz^V33Ps9D(YYJal* zy2K-`pV2Hnn6F>ZD~~EKYKOt5W_pnva={K~_E@ZZi?NpuLhxQN?V`O$ z1D02}N^Q4TduWvzM!#Uq@nliGrhi-86b3z4F_XK-MR9kG4|aN3mL4Nh_x zsX0P{r}8qQ+jozi-1+}b>QZ$C;8dEcKgs0^e%P_64m^V$i4kic0z2kpiJofBiG5(} z@);k6Z@*SV=!aW~bL_QQF2p&``RR%q%LZeo7uY}T1lWAJTgg6P=32;ZqrRdcd;y+i zwTFLuN%f++5G?pHeJlX3yhKBhUHv_iaJqwGQz6Gt1s3c=K9=kDLR?+_KYvL_4a@bS zU1xq;TXE!ExM0@#ut6=Fb^80EVa7Rc=;P{zJU(je`h^>SPg?=Y(Eqa-V5i-VQZJSl z{p;^WdWF?1JN@;|>zi(IA->MG8IH2P9IZbeiOCo+)D!!qnqp6dpR-?yJ?_*;@(c!0 zweKBN=Vjx!fpE;Ew0cFQbAm9xa*xKem_cTjQnHvo#s^J4?2Hf5#6muq=yMd4dv56B zQ{k%=3m&S5!8~AvhE2Iz-F>#}gsID?Kg;i;rx#*{`pZH@p;5;VyFyH8 zk1Vo_0fh#Lv-UQ^a?QK{^wLx2wgtnZ^Ivf5Lp-6)(VhKT%oa!Ap$AiXC597@EPiVg zmX_zAMLT7CH~BGI7(&>QqZh!CpJ~*BJ@o&Md5(=6m8^pUcFaO`NPObgk@6b4g>4>sD&$f?3oyRt<_Z zqO#~+SF&qpj9`_~tE;iA@}&&PnfMQ<7sD6rBVud!Q+%8hTM}<9U0!RTUM9;5&Grjs z)Ta)P3*m@~I%V7MQ`lbCeiJjp6>}6V79*RMGH=J?yIv?I8+vzk4j8W%;tP#r}Eg$37ERwB0Bv%YHR|0W)%uZTmgl$y;HUT1uIrH*rTR@G9I#L&#+yG3l(hR4y59n9Y=8u4cVKJd)<3S{GI9tK*FsP zv!(Zj&KJFi@J(AZxqu^n)29*Ym9UH(?SZrUf^A&u)Zjt`+qmP2V1rz+jVJdgnzKSn zEsY$;a36=cGQhZPf?U1~jM*WS;^SJ-BR@5_wT!{8>xT!47Ai1rcALc5{J$A;43yUY zJ2o!0rxmXgq?a_7vl+~s(kq!Ocr9!wg0ONGMto=p&G@tt%Yp_t%*opLX&6~BCwr^r zx7w9;b-?1b_EU+j4#j9lMDH&on0nqJipVbeiWkM5q>SuZB$MhdH}GOEDf^lal@}4bXwc0T<$1DPWJ<(nAmG zm+OfD~tz`yaCp8)>ZW3P_7Nm;Tr$Znkx^p$U@2gn$^K>GIlj5hhZVE>9Q z00+nYOIQ%MxDBM9J$IOp8_+y&AqQd>r*U{QSc7-Xs14+ukI)iBbx&B}{yoM2*;QMm zfQ6E@f905C@cIU_&9ED`ttVkOjdS}~mJYb-Hki`X?~@N7CriVi7#zvNrc7u1IC_yk zUDFXqn|00P(P?VQtZzKnEoFO~5~H*?Hf)8@`tVr^Iru4W&o)NRVUPRgG)`Vb|Kukg zy{`Xz3`~u;?{~;hjD@GMEy?vw>WU3OUHg3f6M)E8x13~A)))KJB%R;<$48$s&K~}M ze?@T3H@!YBvlH(sDkwhdn(2lc-=A2CFR}J-py6`(*px@19waAQ5{`@;=(ldByGi+k z_Z!ml`_H=z?kCKcodfHs%-To)u798WB!d-w;Tzf7Jm*wfvoD+(nK$f_{$BpO0{1ZE z_tOG~I{7^G&jjG8Aqj;MT48;j{t;4Alpo*HxOveu6~TH=7mMe<`mDc2H|8pW3#(m4G@6-NU@wFV)3shgA^Gr|EVeSAOmDrB3-4eZlnMLEi%FzM)f`dWhJy+c{_O4K5GoQ@r;RPf8dPgp+IqjA+xh~WY&CQ-`OC?YtiC1sPUfr0<8BZd)l9b z+-Y7i8pY>7ubXcxk(!yl4-0xyX8m-#b#umk?BrRq?PtSU?^XO#j0cy2dApS(Z&=P; z&|=yo<;ZSjXeIOLCV102q~x7sXq^v8 z~;2Q^aA&+-XKIQ5@b88GN=|GF?+y-_0IkTN^iX+?z5-m(Li7*jK}QH%ZfX zB}CI&O`PWMrN-KA2In%=w&~<@M<1g0yscNM^B-%2z2y2ksvzmEs10u<8~be5F!n1* zmwOn_rsk8w#W;l|{Gd@z9EjQuNX;;;1h)g^qOGNKOaY~0g9qMZ&BR`4ax5wO#;ol9 z)ZAo<&ju#pmVb1E?|sFLl7Jx6c-Jp-MlXMFw*dt37-iSf@$ZG5wF80svT^L!@y|%$y=TTa z!CV`Te-B!&`s{$@)Xx6933byir|z7>W`!cjIn|IHdT#l&Mwz2AD%;qvhb z`eDGrMwDK7hxxcyJ<`|Qm54xMJRw)LZKt9#?%=QB8d1E}*>;v27WgMy1)3CcV$_F3 z3Zl;6q}!iNt5>Yq2)#Xd!JN-WO?^G|zyD;p`xj|mRg`ZnXi zkZ6Mv;g6fdK&IKkC^*SLN4BR8hWobPa}bz*?tOJxWK~zLd%9USIq>Z-XJfH6 z8)C)AzKKED7b6?2o;EAHI&YrEsY=xs;1UO0v14X}>gbQ&rwrxV7S3G7=_@&^)7E#K ziG?2;27y(p_VvVR%NJk0f}!}Z0gebjUdy|(^A~YO-Drd2LHZumr+|d zMI)eoLjomx_jv!Gl6GD$&V6DCr@vzZ2$Qflw(b-{oD$B?hOhJ8z(;JjvE<^bnYz6a z1M|3xI8~=2(EWc(n6tg9GeD!_O>pT3ctm_Q;D^Qp|G7%O(2f2etr&bl23>JyxMfb{ z`FQ zsd*lBc~9cwE_uXkB(dVP_`Q&n-09M&2QVr5ONPCfliVw;+8^q6BI7sAOvaPyag~df zP^3+8(Tly^NI#y0IecEfIp6Z_M=wkPs~@o&bBSW=@!zY|!_M@)j+6~c)1%&I1lMLN z@{bv8Be6mIe7#v#v8BIf=md)D;_1u=7<(Vf;$AH+E+T!HL$|2zvG4;O+@qnCFHs|A*#o zGwAhs$uT!FAS9CW?}mdY*l-ne%HhLW{=eL-hhqGn7aQV16s*GoDTN)MaF@d%SS?Q2 zyAPsZtz{0?cB930eEb7r+x3BXQtnx&2gSdY*crY$A4sM>TdCOGCtqvp|Ij7QtNM?P z^-R2SV2+FXme;qq5trraZnn1w6jd7zLf%o?JU9w$bfMgz?{yYls^@HAM{9!b8Y5<41$=NG5O;HWv3Y(v$Z z`2{{5z!sBhh_6QlUJDY%6Kgxp(b z`Y+fEt(1tw9Xm#h(|LO$ zaK^^N(`uw%SHaAxFm=NUl8>t#lQ+DW#na^@$RuR?bSu5A4)&?_qLB{6gf;62>mLr% z8tPnxfO%#tUhlb756B+Iygdg|!7Z_gkY_MDgxDXTL)BcWjR)}17bKuGt? zOLu@4^`63q&)D`zlyU$TePns}>#iJ$sAv!mI?7sg`YN4NkH?X7Xj448;AEGSc*`@u zJs6NrTju$HGFu=0xnh0NINRF*B&`E|J5Gg0k3)o~{kL2pk(1$LpgzES4!cZsL;q$J zKKfFC+>itNcnv@m$oyS0S zHt%Q}8_E(U{M7-lGsw(N`HiD#l&=rZ$r!O?o)qL0@|9*loWt^owO9|Fp($h7$RSiw1jkMC$ihDO z4OSrx^mqKh>d%!#?6g%MAQPn&WdWG1_WY9g|{+g;z7u_mR>&WyadSlH%?%R^GOC!GOiuM0X0@7R@!NF zEJz#UljD|Ih&OGy6UM6`As-gpnhk6$aA&3-qFbJdcgyRd+pTaNn==#dx!`Y0Cy*j}( z{l6aL9JsvDdGgw451c37Z@T_B?1iqM!wkN^cLuhkXIA5;b{H)~7qqGYl#wTH? zGgTCqN%&U0k@$i)EiKz}-(X)h=GJM2Tj}{Fm&K3&!>3#A9z>pYe_%HVF@;M9;Or4KGWD9crDlK2K*}+p_AmNXJ!RyZMuI~lqcKs zB%Kc;~IP)kNo6O5skBORXTO$Oh+%He%XxEgZ3*@{S->DgT_4obH zN54dQqnrP9PbZJz+Hzu@)yfU;h~8V{^_mKaAgV*($aetUq?5hsW#kW&-+`78qH%S* zYCGYRrdAGct}T94ngGrZ5aYfKFG@3tx=~Jy194P`P+pl{sfK_e z)Q#8W*H#|w7(nj&DE>%ZF>3K}3MWe_KiL>E2x`^l9(I%dR!a$-Dn{;8=Y~^dzKkb_ zSY2&#SJ&?ViP^k%6PrSjMw%B!a&EGfG8Fj0hY}(fp^6g^d)&G9frP>GXXwI7I)xoS+CRhz~5q1FFW>65g(=-*55q_E!@5Z~I*vO$1;swXuCm9@&_0*Y)vqX``lV=5?eU(3_f} zN1u6D)*fDdeqYztfuqJG;apMSsM()aJ)!8=@()MNFbIRy0k&-G8mq(Z9Ckt0ceC

y-cZ`d6-+U0cG1uf~cfRErB=O)xqS<(w?g`}g;z zK-#)Jq`-&b^UG?)r#&qWdP)WO#OiW?wGm@B-@u+_4!Ll<%$G9m!tK&uoYnm$x}4UL z`zs6Wkl2G2mYAg5o9${ze?j%@f}g-Uo0`(jCx`p}^#osWZeRFdJb!+?Jah(+I-v(p z*4SnJl(U_$jXj%RfE?%d$7Eo}&9bq>V~CM0_cuZWp|;15!dUYQKZ>>N&2Agc^1yZG z0TfNv*-U%WgK1&mz(6K5QSSL1K5 zB0J&B?Tmt^sQ}PKkbu14)K+~x5l$Xo+kR=`pmj((sM(&gp9YhW1dRWOfTVuvn1T}gK}}x zcin%yfa|LlYMk4_1tV(G86C>uh4AD4=DCluM{;n2JWJoAwa^F!j9k-$L-6@Gv)M&1 zD5J)CbIVa)Jp&YZtBvv^^V4I#0$AGa(;Nds$IS(-ygQ1GwId+aN-Hnlahx^1+YZMv zkL4G6!)@B9KM z{Q)Ul;G(tYs272_%f`jquU(>as9xZtZ4lw3Z?cLu{Tt$up?~j(<@&bb^PgN&0B!ES zcayw;G8-@l{o(?%1>!Cwm=Xv{BkORL~1&o-_O$$q5uXdht=jT5QW3Dc*GXt<5Ib1oOg| z=c58^pDWW=Ut#_eVtknf%JUZD>IQ`|X7Pf>BxqY+z5){Z>1iuKL%rGx-x=48#vBt4 zso_`J++&*@$QLXp{-P2CAJChfA|hUrD{7r@cA|h@{hLXs(RsZ7P~W^QY4RG^X%Ltg z^sLt^Ga4Zl7ydi5k>OFuynbKe-3x!4Hbn02{jqU@JlYq$w~h^N6hm1~cIJz0Q|9E* z&83U!Szwy><$PAwRd#THLSoR_3GluR)B9Y?t$3|@cUwNiK59(jaTup@ktp3`>qj}c zt2h{XuY}G+a`=Gv)T=S`pz#TAS@6HnY8 zyW~#;;Dw@bw9#oNt0z|s(6(G7t5sda%2Ne`lP(e8{Aw`8+tb8dqyKGS=8c|`@tI## z`~_9Z_|5Mf(fGSwXzx;M*raWhpWMxt$<)USg}FV(OS<+hJ$0k@IFhsQ@q0v@ll$uy?q&uIn8< z;n0o?l4BbyS^b}avur1mTsCsv9;Q%wPA|N5*S1Yo*4l@1_)qLsS#`vlEuL7$gkL8F zf0UN&g1h4de_oPvXc?#UR6_>k7LGQ)cds}LUmk8T84G3)x`$4%i*#-u9PA}?N3Zy~ z3*rtN6F6Q$-0}D`T@`F&3YxkC1KzZU+*oGC*zhxhUBhX4)HlnP*`e2gj`6djk$raS?>+NMF$ z;nYCX;nqJT$h3apxC2wchOTwxFr?If2au53QkC9G(a`vuA5jj0c|TFoMgHe}aEAZSH;75QLWn zW5V_!o=oZ)Ump(8ZY_e%sRV)qB45OhIRK0w3m(t@IXWO-ES@Kdv2JM5*)vXZ%PXD% z_s$yO+oH;hcrnLs@o8(@J}rG4E={+dYu2VB@X^6OsnvZ!95gbL?Q-f9D0dMcwtOJv z>!0wAGojaoAF@BMZ{Z@$%jXY0;Qm5l&CQjb$1&d>hpxw6&ajIxFMnR$A0s#y6F4H< zXEQy8LZ>PC!trP%HJ1{Gb$yQNa5OqZgGc65(eE5=h|6*yeUp5(o%!=I&Wc})Gm&vr zj_a0uj2P8f4N2{!*x^+Ua{K=7`>LlG$v!n=_znBJ`!UCz0|*A?90i6N+Y{Z#Si#GL z?4NZ3endH1j{e5XJDCM)RfJU`$Ak52}0JTE+A?@7bM1$k8ztbN1+!HJzIXP74Pq!ny@b@Y@@I=anuFhBq z1f!?%A~?&|;UPHz08CqP;d=C8MgwVA_ygxXlf3uW-gS0Xb;1ZQoRP6;@%c;!Vfc&+ zid^0m6x%zOX@qO}Xhua2Sp?h15P42WWH>S5t~9Z~`sc*{cGZ3)y|$N6)m{6lhOWOk zhLWS|p8L{Ra`4`yF_5Bn95nCjDHkqEdu%BEEpzL0BEcN%#@a)LBsT)%z?_|$3IYScY(=J68z>iH zxFCJ(ofK!l+IpAvh3Q{7Ag?L4*j8ZhKA4(&3xkKAxz2zPyVvbcF`4WCLZ$0XK_m4B z#a%>s1)<5u^;LQ5+4#Qy^P;vc*n`9hPxAsCnl_?Q%8XY-M>))SEimJL6vd}#6nOOv zz1-r6g9Fm2V)ojs3D+dsxFeqx+>iHN%dXjUbEdn?YZci*?@gLrQfA(yQnU~F-b&}Z z^$C`Np+qHJco($?Qz3(Q(R+Zznpo_Uopnl@`8{D+CNJcLGw{Bw3Ktwk@dWAml^tD8 zKLuOkj(p!-B>Mh{q6mczZ@A91z)j%3rl%&^uFJn8&;R#-`#=7V|JVQd|N6iE&;R;A z{9pd>|C|5UfBoPQY0W$PKwNWS{6Drxk6dAh^n3Iv=8_zk}8Z6cl-I^ButtXke1Fw|~|ek@mj8kiU}WSJ}r@>61X#pTt(+ zR@M2`tX*o>6G#8FTo3)Z#<<<+@ct`kd4#6NBtlgtb`4+9^?Kda1R>zxUTf7++o0Ar z*aZ!c*XlA8W;`|TnU+mT*l`WB#)-P3-(us?Lx+jUv|Yf|=MT1<3QktEp(}9gd!y)4 z@Fa{^kC=%;rf(kwcHHow1$lU^KK|%4*s|stlH`-#n!kb-h==-NMgP;~tJpiWDbDo| zSQ-Uk!Mv^@XT>Q60|dW8yQy1tOO%@K*p&y}FX4bhxs?CpQ|Tjqdg~Ji*Yp@Fwg64) z8MyfNm%w&r${ES`V<-EQZ*oBXv_8TvsFjF@Kos;S*-i2+OWak#vO0IV3+yy&+6UIp z9$PC($ZjW!OszZ2W@jzQ7xW-v_EbS}W;`y4|MO}_BZJ*z?6`(8Xn))5zd^zC&GL$Z zmZ&FRkn_Wp!T}C08>xmmr|sgJS37!O(|)xchUh(gLA;Nej;q&FrT-In?=^V6?oG{% z1@x#a99jcb?JmRbg(H`SF4)QNNv|>rT8K*g+38ghhCO!;mX zRPtI^abH6u3lQ7lIj0S0|3W3C^>P1NkY*Br+BeF`Hw>HeeDv7ASv#!@;wILPwVz)h zRn>^6u$}Hcq>Otbn<3A@5-qQPSIob~I{D_03u?d7wA(Kajb5y0^B7VAk=w0naUiZ4 zB{5no={iiP7MqBgK5ij9IrH``ke1$L=7@8(h>1(>drCsQj}L&p<$S`>|6~UEXj}6` zRxv8770V`yx%~gmXV%ULlXrU&r+)<}VgAz}<;-ML(*>oN91n~e4}`Y8^NUl|J1H}) zwa<449au2&e8#D-s>St$zS@s~q4`Pn*QJv9oU{a;QkktqoLZzbJ`scx>#;A`nP<{V zPS&WSHuY9cdNraa4*zJ+IJLiDX^t=fd#Xx+?g-H$LGmbBNxVaa z4v+oMr$_$^o?-`^DtI|9x(a%s^sfpMwZ{a0D3}4lo|Nowu16Hyye!4%mypOMxz7IV ziw8K~u!5D4{(n>q5G2c8EIT}MEv2cK3X7+Vd2 z_bh3^hDs{JW%-i%Aufj;0Gd>)zk*W`G8f#Sy!3LTf&e&Jo@WHQ<^CKoHqsi5g3{zA zMro6A<#|S^U%MJT!a29q6$$cTYJfj^W`yg&|2$=~Qv+t4fb`R#Ak@-K$$^4X(O&A? zm6uxn$hD_Fx?{CizPj&7fXmP`l4fi!y+lRtJeEuCq4=5;h6^gbO|#)C8++3OfuR2A zjL);*R5`w*Vk{qZ)UNZ4+IT9Xti)M31Aod>oMZkpr?LkgjRtHI4j?{yDk5{7C&t6S z{A99HJYbWyb-=e2fqK_-i}uJfpHS-iDhCg+)Io?nDoFevvHd8RbzbZ$*y(X!5c)c1 zu=p!@a*S@4y_4$<{2;HRM+r|C5AfEuiK|f`pO_0yGC^wS0)TzzXMq9&dph((x3r{G zJZ@(4Y{*{o0EQhFI#-b-qW9;5^qy>uPb=@4CkT>8S~<|V(8{fz3o1XY`=Zi-dtCrT z+b$o8t+-#+h>_%T{yrmwsa_=k()LQDQ2|1woGtXsnYEf>EhyNrfU5szArsuaNZz_X zud$l^HO@w_aH$ZIzusAtl=W`vMdzr%ZGE9xc4lq*aKprV>|3&!dN2{+eZL=Z)nL-X#>AX&C@%^s zyP)b^m252q=RY5MToe@H=A$}yuujuG{A!)LV~4fPy|KeG?bQ^hZrioAAd``4f2KEZ z+*;I$(?CI#;e5u^{!yv`^&ZdnMUtFBwzCKDZF~2Ay5PpJCQsbX@W3Z8RbYBvsQx=N{sVjq5RYQ9mZd#b&yIP+P z1Ss9KV*1YTWjVi{rthehr+=V<+BL&%guZ6B3^S zUrm3b3{X(Ht~9!5NMJqCW-YhcGiQH+A})9>dczMXwklmQ$`|8@*6Am8jGm~^pRX7} z3#TB-%=D(n()co6pdec0oxURIWH(|yrTM#{mS^?%Ou)nTGeG=m{D$PGc+&MjR?AK# zu~%X}-;m^w9{YflkB?vCuOLc~?9UG|=AR7#86Lw@A^8a12U z-%&N5WKz?}1PWZoyhq;~eCs{}sL^2&uu=;Lk2gN;;1kH&@6iR6TOkCWDhR03uLXzB z^YK(Z>lb8(7R2?8N;Y{_Q1NQ2@>x+MBu49feE&%j34L7TSag)K?uVM;aXnNpD!0l} z!K(BrE~w;6+8W?miR!01{!ZzRvC|znqI9j}oYLG0Z2$`Qf4kTpfGji8y$vLj4o^qb)3*PtKqITX`|x zcFd+ip8d)H(15|dFcVgKBp29Kt3J%@=VR)AP9@Qi^Wr&ef8d9Ia$u6`7jiK5k5}RQZs`H~-@pq16b1tx;>`58b|9YBU&99b>Bdg?WR zJ&n>RIRTs+c0h-kSV%SYifz+Y1k|R(8+5@ez793IR=%OhaMz8lrY4UM{+RTW2%Oc%uUPhG2ZkdtdbG5hEA~#gwTG#I*rFDp9@?t zqLFYcx9;>SIj6QyoGew!)?>bqd#W)~_M?%so@|gSH~hPDG#s_QR>y{u*7;aU8_rex ziHk_jjayY(c`>3EJPV4i0(Q2)Sqdn8I;T&aC7?-fdbJOp9#tH##Z*Ue0 z;sTVdrIFNDcnrPFu4AJs-L)b3v3q=|5Fjs8xnI@zw<_AMe)aa}`4TUpAkgWn8qcuK zmmWG?lG*B@+Hj7t5mxVc?$>hMaB9*x7)v+Y*qD~9ydgl7nYH0um9MB~-&NB_ z&Aw$fbi1z!9&_MpptUu8T@4ulS-G>oYa1ngs$d1htEKO+1Z-*Eq`OLP82>aq$CIdD z_u#-H@3e-)CEKHPxM?jeeHo@3&TG&3tg(M3J#in~1tb27rC!1zF3y^+#5B>@Rp$m$PR7l%4Dy4%549;}_RQb;PN8Q@9hsgr-SFpkV6GhB za|>!gc|_~fvN>LLT~mbwzCNBV6_j)EQ6JAb0BMu~!YHHe(l`W!F_sK{1=0<9S8*j3 z<9JdM&J?eEqxfe%9%kWl{SE#WkA2_0t&NJE^D;M9G9%07*Z_?*Plu`ic;NS~B90Du zs{Z6?CThdFrP`?APoWwg_4Kcx2bl6xjV~9>RA(Tz^yOwkL1E&WTD4!>z3aH~D{ILc z!9SCG3UVTNx1RB*f_)*q4Pn>I9vi*b3D-;Ruyt>Epn#dkXL+^q1_wl*2^16()gSEc z$~*5X!hywjH5A-R@I<3`LkPC)5=`lXf`X>#F$8Gxu{@(T;4>4y-c?Y3iRC&2GLt4S z8NP26gC0_ZWm=7Z*E~K!x*(83x9UlNfV?Gt1@TYapRXuJIrYYTUL1-GDhhe4oh`gr zP3>$gLE36Wdo6~(A&@emLjMZNvp0Rk^~|&W0kc8e@@jaut52qghS={f%ApbSY3q}| z8Vn1ukGj%eS9oG?ur!P}e4@e9U}KY(i_wi zGXLa}yqkK5RS*g7n}mrvqDF0eVWO&mF@-uLdLSZ?g?+h_!zfJ}MHI|`eBceC?1?FG zrMvtG+BOi)?!Bq29mnxd%VVNA&pfIS^!qv9HbkiRf9Bi?3}yLMkR9%G2yC;o7vVA* z%oA~p=&4~p)5)a0VeQ8^Y^SQf{>1m@6Z53n09ZZc0{#dTQH`f)E+|4Xjm7mwJgMD1Apzv*LqW_>({ja``vzM`7%>TX1jz>*U!LJwUpr;{EM zUaYx&LD;FZ{j8U%yy=3XX-N&BlDA5rR_$5DU20XuSZUR!<;UnhzX-Toy!z-VaMZpr z*eD49ieCh#AA5^Dn$Jk&mg+>5h=+-9DJm^bm~hznn7&A2H^1#Vfh=h|fq}`!04*i! z=98!|z!LL4AOb9`M@Y&ket9|}z|tF>nuJr*THjWKNyd&xKO^HL)B4`3mG1$#@n;VN z*!TlqX#^X8&uV}hug?>9DLzyBFTlq4-7NMmDd2N|@S{G{!isjkrU#hO^f{;2{ryw| zES*XI)a0~TbpnoWZgEXgpp~;W={28BFoDt=@ye9DFQ~0St*Fd;wyJFK_I+Gt4FKow zlDd)1_G7d9D+t?-2H7rKo_nelVU!mB-MuJlf7>rWM2j?%Tn8d4c~l^!)OxUvWXE$s zxmR?+0}qMW&SZ5!;%lw^^SGcDX}uOBq`D5;P9Hsn=6B+6M zXY3N`izG772b|*{or8$%&!!4Q_W0nc8W>8(*Zc&GwlUn=c9rv5UEwQYAKxC!NsKG! zctfIwL?K9y>LtB)m)%;9s0L8?`Ro;YkHS8y4Lj&1U%&tJ$;*O*T0z|e7;wIWtmqYl zENx7EZKILC#hL#&L>qH3JfDRMX&Bs9e(E{NBClq>Og=h(gAK(fQMDpqvUM%b4+RJ0 zLI}%bNvQhzY>D7Y30E|$IKP0vwc0T)_GhdE%l?6BG%%=Wy5{~2!Kp!e$bhf);`>?L#1JF@=b_mN|Aj4E4~S03Dz4 z0I(llg#|1t>$8ua!k5Zf+0LlsZa)_!Ecv>IUG`$NGif({`~~xhzmB#JVD{%{b}@;z zmp?5lCm>X-G^bFg)|)`b@_djH4SX#B82nDsbLw=2RNBu!gXj~rs#fJZWlanWEk;IZ z83#p+4+Io< z?ZjE;orW|m?QL^W9i~YYS?$?)GsbM{IV6X-<4ND^|Yxzgkg|$iX4_T4_L=67D4z%%b|@p2=(s>(jlA zUf^RD(bky5n%aaP(pTvpT?G!S>sqD5Z&F7eFq{}QuNp?O%07N3oVOpyX+vN_Ab7fE zCSu-G4!IH32#u^8Q^AmF=hg{86YK^pAO~n;F6lQMv>|9Ak3{Uj2Mru3bNd3<><&Z{PCi6%Di}cv7Q!686;qls-d`foM524nCF1ipBU<@VE`#9=D5vm@>$ z1WMf9I|5&Ndl#dQz!w>Ej_ce}YL4Wa6sl7-6ztZYoPjR};<_16d;{0FB+IIdL7f!$ z^D_t#3S)$<@3`e8q}*Daw{$@(jx*KRMp3=04XxrL^aLm^1|;f5+bxr@svt~PT8Y~o z6Yy}IWebuv_E%8eP`x=Y_XaQV%+`Uqce}a@@RU7X4WR>c|H%Z7g7nVz72}ho;!z2X zT_1I}Bk`~8>>Moc%Z|@l(aXCc{6h!A^#lLyaMT)ZsW}5jt?9G4D|K=cTM6%~1DL<@ zl8>RJV#YLzfoZiFL&K#~jZO`){({M;?to_hAr^ zwXy{p^{5euIkm!aRq!|~swM&aoXMj1=pj8IT7|-Pcs_%>cco<$QlM6+qf_5qSB%7R zH;t50%oAxxX}$6gbUHS@UaHQSBcVS4BUeA*v_2{s+VLI#hUIi}G562H10SW)F&eP& zQGVc$eMD6d16BvX^?YUx6PRkHlbG0gtwG>xj*Zj>MH!?C01u@PXYR~hkw4eB)LUrd zU{=#l_-BX9@{8=~@KCaqT{{b5wBs`m$ph_~t*62x`SBKZ@W*7E_bmaiE;an@;t^I? zoLC7wZjxnNuGbENnNT|F2CxPcD>>w_VflmSwCy=ND(hhy{lX=h+5|h`_;yvIIO~!5 z-b0ge#tb;r=-1&nn+pnJF0ucE(C9A>^=K~Go|DX)jDnm=T*VW2&X)KT*hf!%;sey# zxRak|f7f9;K%LB$r;H8{==m(~aDa}Fk+s7CYLiZre7=XuKlwvWrWYyAP>1$DTObf} z{&uol>s6);!dK>&w_DkH^wbJ@*Yu&k^JD(#@NTwGuz7#Io9;a~Z}J3qGv|i`r2`fH31062MSpN09hhhb3}_gx!t(ob*4lL3 zs2yWR#`gAv^m+>Srm+%Q#o^vG1CfVeKaa3phLTm!6#>rIPF*~5lxJ-^pc*#COD@M@}LRP?##BtYfPi>8Ky*4|5~dNK%dfW9Z~2o&S30ca4&RloPFv7A0pRF=TFErhJQV-b1$!MV=jbZtu@1MP z7axf+3Ajn2``8{Mw*t9zJ=Ak|zBX!l0mo+{fs1c`tb-jczV=yJUjCr1>9J!emqNdb z1XjwN`@orU`RVRAa!}Yn4J3 zAO&BqC33*{dp-c20V?JMI{th~`Qescqt&GBzNebWiTzg)LIDMR4#r`8U|9nM&d(>n zYy1dT@<&ubVW)FNnO~Z&7)h%nd-(t#bMh?tiV)ptR*vFdmJ4zGYKPx`Dzd2!T z_V}`A4H%wtK2#(2zp%Ff+jC~J8i9G|txnwuyPMhbx*mIy>{ocB0c&&nD9L{XPrPN1 z9&>w{Dpbc!{GrtQ0R!|KMK^x;b-1b-w@jJby9V;6n#r4s(tthsgJK>?oEjJVR6!0t zy8d~J9qy_i6b_>B8&Bm#mYr=NS*jE{5n&FpESaxis9DYD7%?ahW=Iv4^pf0)=(+ih zkgLn{HDFCP{LvS{pz`~ClZUAZp3h){J^2$vI$%5wJ*z6|3FgzmWWaiSE5Leylu3iH zX>dKsj+s_r6aKp9$Mf=$xuL@zqN(1>{yF{cGE|)@+ffj^sK4m6{bMw>U_Re%=ueIV z%I`P}jq=kMok?9HoAG!mYY%sX0lFfu1a9#@|M-K(Q+dv0h!|iJGE=}&9XFUi>UE?2 z5^TmDVSoe3b~}wTZ~%QsO#kE@@gKcsOVHfX|3w_B6XGD*j>o?5XqBTyt6~d@wp82! z!@pd|>e^OWueEqLtdY`Jr=L11+(8c=anj4(Ga8RY|Ge0YitDavvr+)5RZvy}*wRzh z2{uEO?x(^ab-~WDziXi-$&AezdPwO3^u>&p6NXM4<4qW$YfMz=;Lx%Sb4jM}R6)Wmq=60c2CJ1#ThzRXRM)OYONMMunqaV9_-Lg%R#cZq zs}2ke4iwbDgr&i2u4cn38agi;KxW&8t7kkf0nk)|JAY}@gQ4N$j2o+58-n-^*cJA7 zL0xs^@VWrdw6}9Nq89;Q_Z7ij2xT-@dBMCt!Aj8LOIBx8#I5C3mLJRA2fU%_uqq>Z zLz6RB<>T}x0xUOdG?KsBaUln|rp`T9vWG?uj?^KOV<#+BKOrX1mj>C36I#zy?jR4*toQes=n9mE2+(gbenk^@(Zy zD=4qUazPK^dAcALm@RR}Vzwlg*@!cKat&~_DtCs7x7@%#}(fa%aL3- zvsdK)^#nQh>)Dt+DILUJJ(&l@5S6PcZsJH}e4PkE4uz}lIp4Fz9Pxi?6P$E|_gZ`Y z3ztm8LZ5O~x7XUC}7(A7M3BP!}-oB&=nDmgI02(*4CusyXunD*MM>&}Anvd5y zKN&9keEOvq6~Rye?0WlK!+5glTP_y-{r~Ig%Cc=&aoC9NTA_!*)!b`KvJB^aIt>9r zV{BPgoqMK$(h^HA`(tMsAc=AkBh~T-?k)X};n-D8vF<#7!uE{*|;UY}tArYdv$MXqv`9UNteWYU=8yK2kN- zc){HRZuJOyl$<%V)r_3v9)-zzoiF^lYOVK^gaHPEQnlJQtf#2lllh~MT4JK08Qpc9 zGgHRd0Y7*wNczfgZnmW#aO_#q!F`O(6((9JUhu|Pbisk=VsIQIb4LjJIpD>90%``_ z*0Ee`g`=0+(ZqVC^wjwz+he)o4TB_4)bmD`=!K+r)AQ9(_#U_a5)2RcqiXEz&Lyaen+3HlQ zbF*Zsv7nv{Y^$neY9-mn2HeOm1@@RZGedJ^lN_7l941}q4mPC z?2}W~1#?Df>OMK6wSr6r*gr;?G0UH%3}cpL+)zWx$uyXhtBK3w6PW}Gfw!t;%k0rIx{v8ic*FyV+ja@o7vmQq?Tfv@s#nkD zS@rJS|6C=ESd`?YA9UCT;##$yPS_pWHljzvX;oCKdCab)2X6GJjsiGAKB2h-2gvq} z)S2`*u{gsW8*4$db0_#CiXb`76SF!Hg?XOs5dKw-s-HBO`B9awl&b-KW$HpRmofWc zGNIywCY{KBsGz zt+VFzRVdX2!*F%(Dm`*MC~G`nc1ndZPMm5TMUG|DFrv9hjl_n5F_wP&H4Es4v7RG6eBR%C}D^S>*(xXpMc*+Hl~ zPEZs(6+4I7#EH}%bT!7I0s`nwk{Iv1Nlk2wGhEY47YwuE{xQiWsR?={=jnqb0tTfq z&?Il$hE)Ts+L3d6!~$cuWSYTI6rVmoWludFy#(AOW z!V@JFg?jjYQN(^jFD6rSJtmk5fKX_()EXutU~PktY>PB?zKJYE((OByh>3_-hl}ft zVcU{yNfRNjJ{UD!NUOCBd6QAF-`z(i!eGy{SgdJxOcXKOpX0&r!mzgU#S@S(=FTjJ0A&cESw5 z;A3lF@j|BQ2U9v4CIXUYwNWv}Gr;)6y#^d4Z#QPLi3$KswI;Ba79%F^2I|&*kgZ zyggq=ZVbuB3&#uQWLjzmawP>zo9GKBA`r`Xh#)2tyT`%5=>k-t#|JY{CY}wsI;WHV z3W65BZ*5(0$hA0BC-b|r8mdK0P7D;dkaQ-Z{N+Gi#dxa2Q{*a--DT-Q(wRz3_K!+= zn9Swq@!#;>H=<&d@ps!?<*tAnC960UyOJTVVwZzb#w>V1owX*4v??>>jcH6}R~@+i ztsL3yD`+!dn(xt}pgz8Ot_V}`>=n4ksj(dR(8 z+DzA{-p8nZ88;W~|M3Ntxa@$9j=FgDkpIvotv6h)YshTJ_n+v>a|7Swf?1H}RPUdg z&RO+5K3&JKM2L7agdYLvXPo$o6yP{_-$JGC&1^lrcFPOkf1ea>U!leB;+g4AKDcKzs!@{n+VIeBaVArk- z$>gb?8HU*mdL|dSEgwtJq6Isa+bF{6o%O=}5^1bT&H880UOlP4^NFNQk0Oj5h~8#C z;m0+-7}WJ}8!RR=cm^WVZHI453&+68P#xU3IWE{_AG_kp$Rcg8>n6V5dcIWKaI56h zlGXjN*an(SpLEix*j6$P!ldT0fIWB4x1tL`L5AHp9`XO6%DPB=wVq1M+&E&Sf%!^` z*SA%~b_S`KQGla|bFoV{fs|h`JDU2E==AlB{%IPASRP4%u6D)!3?v+q9ndT$x|3V-~?Y^~%km)5sd z29Rhc0&$a>(3&n}?wBq)X+$KB%^zso(W?fqxHdglcs&H|rbSUIWdnm2}(F5A*~tsPB;!V?7N|x0%ciOWAf+ z2g+9YR&+f$cV8V4xp(X1uUa_M-V@8hf!0Y%;=c0_$a%6>(&_pMpsXA-7FRMLR$~84 z=els{ZO^C#uTvO-REwE7_8u>oB`s869D@719_7ZtCBxm1!5$)obVCs|(B*{QivX(@tm&;EH-8EY`Y^@~(F8Oqc36GHx-7T(4pO zC;LnD zwMg|a9#6tzBIWu_F4`m>ApGybNj5*dQj?mX(FM1_CuOK)T&O-af2v1qnVVNKl+7nB zV1ZG}bnN`Q!#DGhKD)p!wxub($42_mfDCC> z*gQM#i?QB$c$6t@Tw;l=?on9{nwx|}CcBq6&b zQSO-WN-|M46}rEFuOsny!AoYeb$gxeQ)O-&Rf}4-dj?}i30ONGcA;I8GE?T>T@sV& z#_pY=3UMJB5VwBHxhc#gU%;&1_^mKAT*mQ6Gh#(Zjg3sFs@ROba)x1n>W!1UwEoJr zrpsBh>&l>*~ zqc8M{;r-bD|YowZwAxHZ6hGn>|vfo zE)N@7Oaq!Y8njt%VLHz8KxR4lg=K?7FiVyZ$#d(mSZs{4tqXs`IX8TY>zXt-T#DufIJ$5Wb-?ZhPWFLkZ{$S{)U#F} z_#6WdG^~I#jbMwbbw}Catv;ICOKu)s_^PMRT;*HoYqrmL|?T{1Uuku>5ChF~GGx{tlAIXi?ZK`nFiDZcj zI3k7fLS5Uv|8{+&r^clsdrK3fI;Ce8IQ2Yo_{Dh811o8_IclN?_pcr?JC{+rt|5D9&!WS>hMR^!TEGVwzUanE$;&->A18qWg61iRHtJ! z(u(17lDI>n$zNhbp3vge^RS_fckxyh(`PH|W;%=E2rJv`3f{1?#ePX;YctE~8=|?9 z)wDe%PMemu=!hsa!~NnjIoFCtUC)FVb;X62$oQ@cx%3QuCG-3#NBr((K4<%VA+^zx zk|%Zk4M1pnXn0c>l650`t2wRAh*xm74-LD=6=Ove+P*K^bZ9$6(wP2i^@LEy^xy?@ z(?*w9UFaDT6&IX_BX%DgA54?Tn&Pk!Lvu=Q@#BYP)NdCxz&+$+tEA+XY_=gAh$|Hu z2Lr3BTNj)_L$sh92Z4t?=_flDyGxVUnDpO+Y5rX)uZd}cidL^QtyDW>#^VL+?K@gE zpJd_cnP~)Ubd2+j3#t2)4F`yJW+Y2IzcL_0%N;0N_p^&{gu2|Y-c9#seU*4nxQ3}k zqL(fibN0?;JFy;v!F9hU2XMH?x}ly+3fC1cc;AuK{~RuV7cv)Nk?cGP@h|sIT&rq? zsMkpB72WdN_rqyf)NgR?Ke68%EU+;h{e;!DXattBS1;S?0+7k!cfp1b_2ltJwEaR- zCeo6&;nHo7arSp1xyDs*@W?*N2!C?gq~gBM2TT9^T#6d)8_1dHKnHy^F(_I_=mic) zRn>(=&%^`w&>a`HbD%{n6Im8N6fR(ABUCMbPzV#h8gi48hMbV}Xh_}Zf~EYM(B=+N zEt*MGWS`$~8{3X8IsHDWLo*c;?KwYr{9$eUUGOm|KAE|Cl}BVBC*YXTs&1oHzOi0> z&p!WgsQrFMn(vxq$K{Ck=#=u=ys#x-PgGp6YQgpSfKzimW~x(c&C!Z+5E=dA84e?( zHR!73^nR+2CHd;PmL8C9dLL1(Yo?26`i2uRY2iBvrFO#7r3e{{jB$GX`@YH9wKE;ejI@_FL_g;^#IfkQ0EsxRY zC7vGv8C)@-fEoD0 zs@;tOGXEB8kC(15mS(q{L`P%JkdJ@v*82?8>d%0vp4l-10oNF}%GE2Rpgso{n>eM? zJarf!{{-tE1jt8fcl}&426&J33FTUbfi;$t+ z&4+H|z|PYi{rbSp<8{s+n?HywXC6 zIMIP{mdAd*qmYq5DgNs){&nmqHZuzQiIbXV)a}x$>WR!rvSRch_~hlq`dw+ZwkhuP zz%uoOx*r&(0vsG4F{6SMg;VDZO;efcdn1w#>{9bNfBY^u6}={UU4K{~4$M^hd*(Up zRQCMon>b3pG)o7Ts(uIY`pf_IyKw$6;ht;A8Zi%%;ah(Gcx4A*NKrVaW{zj+;Roah zf%ofCrc-n)p6FDkt5+Q8fi0`P;K7O6f1}d&9D*;XyCPCVIFb8dUe-4gNaA=9vZ!{ z@q`OfYjtbaCfjwvmc<#ej~prhxf^*PIeM|c^j9m zM^6kd-$P4G%UKyiwc$8e-~OI<<;i4o7*8D`VwxZAaurFXY(60>pWb17b$^tKHVq4s zmU?b7=N)ZX_1~YScuK`$fq?537(IO>*^HtN>rc$ZPd-T&7!C1}@SKpFDPiTitkbDojTNjLn)Bj~=)n^r81ZIFQrY?9Vo7(dc zb6Fj@&hBSuq7H#=>7~*BP$v8?m~cWWK0*_{KgJvD&jN<9j~7*W5S$n;do3mi1gW9U z=%j&g#aEjJLvGkO)wY?Y-WEmtA;djQ0J`otL#Se@Z)dE8o$H^I|MpqBM@A6qmyZXl z5JesXE>x%O1#M_@APCXfp41aa1bm)}J~DBLb|{eDhHF*Z1>#e}?Wc8ie&vq|}s{>jdzWclO~MlH2*o!wi(02fM?#GFu+0uDv% zWktN2<~s&p{W2joO0F5bMsL$kOpp@a&1ALc;0o5baFC&IYFSo?K5WMoo^7Bn{~=he z;{y2GF1DlMI5A>m4azlweV1n(eO3D>Q24Z2X*iK_d06ed@ zVID+%4$FOHBE{ZUK?f0?0i~=Wk;3I-u06R+2ecz5gOATwKHl6pOV4MJsQw)=s#+4U z<^4pvUsO9lR#)zbO3=pJ$o*^$B z@)JO&7&L|QySG*b&xJ*>QZ|=1F{VsCY+4iD&!FoeId`zG=Z|BqDLNdQIzE#O$LSwC zH**S)^v+Z)gb@hA-!dJ;LOus32M!)GzT6C-;94>>=8`!ml^R%@;-~v7EbtnUSP?H? zqk>5Lo?e(HSR-a|yfXaxLOd(@vefMipJbNcd3o7>^6}TyuOmIQs_jTuHAgHcvYj0d za~*`(_B*ruX{Ti3gc`#CjT+LS9Hl4v@VZT+?yqbJE zX=2G)#LTpjIK8qlzpZ#*M-tQ0#;W_1Ku|p{T)SR?FHiJLAbXJ+OduN&QC5|#UGX>y zN2*u5Xjyy-^Uv74ZL*BcrVyGN$_-0vUTCNdG3Tn$6BKLQ*2cJ!Hd3Xv#PD(Sug7}H zkN526M$yUN^>B|N)e75fJ2#J8OqqIv1}c!Ws`!lCu|?NUqV4dcv#P+^%66yQiDjFt z_so=PP>qxcHSmuVQ=em_rwwX)csVYhtB(>2%e*)h(ASY@d*wit$eBVQ>qQz=gpca= z!sTy0*_ye&9N;$``ipvlx2FNk>=eX_}rT)}#=GT5}Pm3o*6T)K7EYOwnbv?gHp>mQW{S;q!zt@t>Ca(TWDfGJ(!$_Rmo(F5#-7ZLYJ->X z*=pcQ9dBhEhS6aaWa3MQL{!Q%Mm(!>9+tvEIrF%q=I{zW-30RZP_ZWqZ=OD6hF4-r zO-Jr~@XvYn@@rnRwEu%7e%>=w1xbAD!Cm+5T%l?8Cp$EUzX86xvF;XrkT52;LDmjY zOJT5JanoFgojb{~CuL0C&dMGZkGQvScVTe9Yx%A0$eH>$_bKGJj1XAWW*Iykja>=4 zi06|^RgGVn^Mk_xwD2Ri{B(ak{@8k)jY9Bd2n5YIq%1wPld`q-b=43I~--c;H#pmibki?#ChfQ0h6U3%}Jf+w|bKGQB5u ze`fdW7mdT*p0Vqxv|+uuu-!={x%ErB!BS_kIFm`Y!G0J{L|!DCoN%+SF>)8!l$}Sg zP01(sEPiZehNQ*&(~xwAfiY>QEk=5Nd4L?<&%dIMym%Tu?)(d5@#&Q`yo)`vOh>H3 zR;KnVZ25AG;b6!8CYgT{ABRmeLa$hwvyX25@}G9G-j5wWPQAO8+BVj>WX4d2P* zrhYMLwO)2?YxLpvP@a=jJ1(5C%~s6f%N&*sHl23uX$>CYsLN(uj_C`V9$)^UOY(kB zpbgIAaq-j*79txxI%W6cg+VHQ%kf4;=k<{>= zDRUb?wv*4a@a^-Zo*>z9C8DSrNTuTaBH3>Vs-pj`IBS6>;Cp2;X)38cw`6U zh=dc(2Q!Ke(B;f(Nz%xkA-Qp^Ka#CM>0`ufYf!-O)>_7L5%$u+bR6ej{#MdR#f~>9 zd*3I_vB4eZh&0}>?&+v}HABu}@rc<99g5WhSUXH;QUN2KiQU+R(8eE8x50gu7vu=9y^h(=+#GdK_ z+j29lv#HBHQ`OXU@_56#+(f6`=9&XJxyUh1@V*-`Am^bx@Z0B0nibwo;)Xf+v6EH} zjo;r~4wRVcdd$jkxU994mSNWI*snaeXaaxUQ?qSApI>rArW?NAszyGCi?verVO0g~ z><;y&0^fiS532~ZCcwk{wM8_b!$XUre%Ppqh}f#bK^-yW|+^@+-}F;*Zoz`%JNHX5~MnQEJ<|Cn1iJpP~V-?$*j{xM7>-r#*$ zcbNg>@qR16y@=5ks}#Y3VPkPS7i4t?4sx-#>HY2PM#E;GhtHSkej_M}D{8;gy zAT~S0kF>NSF>QdAIGo9=d%gV)4(pgL>Nc>G1xA!D-D&<0+3;@t;$h0WrP`kM=J06K z?k%F=nM8F40o0;A;t$WF$5%!X^ZATvVb_q8R^t;NgU?0V9`|$jT!IRk+63Is>Kcsz z(9K5SEIWh2rwTj%<5WH-5aiEXffvOfl}*{f%2H0I86&4XhvXQSdCb43MJbp7|?d`J1|Jia|{}_ziq$K}A<0 zqv`WwGD`b@C_@d}cg+Be#e9@BTHrPQ`1!OnF<`ZU79q@weEOKjPs({xBG9<`6B8~> zU413-xi-n2EJ?(SH1I1r3}8|oneA53+u*1bWoITawguz}q2jSN$-dZGcaSgoWKbw4 zAcap~U#y-^>?%7B90xN4CmIP3ZX9qUzd?WMV)u?zlbvb%v~kdU9;ysK4)b_umA$w(J|AFJA))6*t<y~7dZ{ykZjzlTc4BR3;yfP(7iD|nX)NoA z?^t*EGmW0^7Z%qXaYV~5bLhn)hd;xdd9kY=J@3>W)Q3AbCdVb>>R_0B%tF2N%+tc+ zek!V|FIb!3(J_25i>>b_O;TkszvTEm6s>g;$ltH=jktTJ-wTr{--f|d`$1#fZJX9mrO~p#p=Mm35eYU@{UvTi0@nrD+^gg#)_Vk+9 z7Q1aW?_{hw=8vEWhaK@#Po2J=_qXRR*SuZ~x8xz48UK82;Kvi;%mX|V{>Aj<^R#h& zIi`CxfP`4TpSa$GYljglSZ)trcZ_M*ZHJWdRMKI?(wa9pVqn7xPEy@YW8Pq47(f^1 z%&dM+a?H~E$wLq2@g*q?-ycprsk)5}y43Ay6F%+Q9XR@Z13{V2Z(XQD2WsAw&aCb- zAj#_k|2~r@;|ib9X2ax18bCfT8Rqf?I2vV97d-3e68h>-fu5P0XqDNwUvr@_vXwieMNd6@E)UmMPAsh$O?eQ--_g8wYIYD z%ldm)UzkR;>-9WnR}OHb7K-fXTs8a6&&v&lus@v^`1(#xmd>sPYUvV-^lqz`wwsR3 z4Z+yNuN|LGqwOb86CATRI6FZ8Cyu1uC2LY28N9AP!87Hxc=vJb=`0@EZ6Y2B7LuP_ zUhhvI8Mv;eZTsKxboYF06!Rc7^zzKDnBvNgVqKiKUJKdi{!KIocBB^wBx%U$cqo!D zHm*{(nnV8Ij+{B6B&n&tQ4~LhGYA-T>3dvz06`CrPSxX9j62&l6A8lK3Us9$;ce^n zOi;o3I3D*Q8@oeQE!?0+?q_%yz_{R6mDZpO>UUON7lfld_lb+~;e}v_Z(P1~Aq*cU zFK82?W*M9z^OkJH!dkFZL~*^U!y%0Ie^;&#!PhvXg0}=dhH-; z4Bl2Q?~D17R6fLW50EH+eGN_E&TeQd^;VOsIX&Fiodk< z>21?^G<@f2m3#6wtCSQ1oZ1Y2fq0TBOSjVpOnSu*NR);ErytH$>mE2e7#%dgSWzCc zGz%I<$3wO#%v);Ry6+4>lahB#hIn*vJ$MTolyg~E>BW}suG_XX6PVGJ4?xS4in~ct z_58G}Qliy3+D!YY?wG2&XZ|S0;C18ySb>CR(`$ci%^hek`xsbTXe0W?tW8UY2FDxt zA7biqsXoKCpC4kz-do#RvPbqV#}lldfF(W=qMnZ*Ik&7!<2^l z^>Vc8H_Qwy=iBQ`lNIZ>%o@XQt&B2Xx;x*Ll0P{QWIW>lsTGrc@cnI~8x4t!LW!U7 z+mNJ#vG8P7_L5 z_<5+u2eX#Vr}ULD=eVD+=8yko=eD|de~&!9@_RcI8c2l3IBs>4Lv1y_eiG`k*f*J= zkaO}U`*TaxInH^*gZ@v>NaoGf9Y<3$e(@*UPCPY~GCdmoWcyetHl7-O_*<4_spe5FyKhq8iG{@Oqlb!&<9MC7ZpB8Ia71}8YGyBW6_{&!dxDI z2TYKTtFe~=V5 zJZY5E-_PX?mad?Zo4S4RSCZ$;h&RCEVRu5OoYqpDN(MPRE@RMu=`0e-b3Fos$GVEi zAYX^}JQkNOPr4%ph&F=anxm@rOlYj?b*D`KxcdIKqeOia%7$@JiyHNUb5#DQNzu&m zhGFUya#U~vfnCFdyOO7A;90kkISpA9j2NMV^Y--0td$oe8n%eC>htdiCX;J@x?*0O zChxDDj$Dmu(nRt=I$*a874av*(srZ$1~^5daIQT}LU>J@1K_cT;b^qX@?F?ZAW2x4 zT57;nW(P&5oR}0SMuRk&{r=~6t>&NZkJtXhl=OCW^Ly8nuq7MAsC|j~Yh-<9X8?2+ ztbtqi6I0D81&W4<+-`c_k#dAH4A}OfeEwUavc9MPh7;0p6yKm%rnDO^BZxU_fx&Vf z6uxb0zpkfu<~-2Hj@LF)P>hHB62~`Yaew!vo@jNd-%R3enfF^F zr>CW-W%+hSfZKIrt$N48NPDSe~ z`4xgCWm8TTDlR3+?b)tja3D7Mu^BKwbD7Wk#gtTZkT5-SzfKG$XLfKW#T7Jdz36iu zhm3AxZsu|!%>zk3<7m!t$kfc`X?``=Oy_i+nK*&;>jO|3n?MTXld(_`Vff!q>zdhY zHJxYrNMIRa66f}8=Qn;?Ljm#2;fy+ZeVY@4I_=DTLhJtQd0JxS6N$U@@46eOg>@p; zOTfn17`RWv@W9WH@83Pujtk_8z8fvW9Cg1t45P95%rzB#HCAR^VfBVFas+n#I%)O5Xml7oZQPxC?N+iRF{OLr6Cs>&vND*+Ba zIZu)rC_9sBFUdCI(5g44Pcu4wAW3zoD~oM))|JEMc;;cIH_4u)oZ`$^{T%cb@U+h% z9M)Jzl6T4mw~x4Q^C}&<1J>Abm%raG{O`s`3_!4)I$F1F0pR+xN^(e0Gb2RnPGA^o zWBF3ywWi;qQf>~`(CvgWvfq)1$&0BTH)x9pnZaQ1N3{TGD>Q5lisht-I(s}xnVKHA z?Ton2u`r$9f%Kijz(6m z+j7XL(!pd*aX8WQ=6E3}XRORAz0{nM+$j3d!%+@Z%^N*oT`Uhe`MFb=xtcED=s>Eb z$PU%@ytQb0BFFk^908%z_u&;;sjH^qcCa_AuT*`NqMK5{K@ z6mJYVOCS45nf%+t|0EY0`+8-$*ugFzrE^=@j`2Rf1P^{JJ*m&BicQ3aMidaH z-%qwnckA{^mcR-*p(_}G^E1IiAFSG+xiw*pGva|yuP*_jta$?9x$aH`QI4yj&+jq~ zE!O>}`oWoY7IV@J?4}d;tB6#@=}H#ns&GAuE|Q&Q8gKsIRs$R85e{$VZs@gUUI^O(*xpJC}-dqPEM1ItFZ;?{bYP9 z{2cs&;mqXyq(c7q`3$e(_^wGQLd9aj2;(RV-Jjm-S-D}i84*PjMwuB-a=t#lm->6c z3KKm?$;7_uW-uxR!hjDiug7%ZO%RNl@{%nFlxpU7FhM3dZlwQ&NhW%xva%Sl0YT+& z++Lu`Dn1$BnCr+ybmO|`qzRr-&E27{I!-9Brk@0c>9?P>adg%W@a+qHoQQ4=VoT0H zWVbQyrBV)<8{_qc$jEh0-*$t^DJ4dg!-Dpm8;&wz&)FB%Ia}h6wbnG_j;9{KR5YBg46@U7=htB0 z8MzJsK~l(JGh5Fwgb#Z zvbEWgg*(Q_HbRuz$wYvkslX|gG=j0VCmKFOY#Fx3%AUmCsvl261G#Y_zR#f&kbCB5 zBw^r0fZw_S0TbC}G`yBXo6WTsA;QmVV52-8W4|cgpgO(oeut_vkyIv{K3H1jl+ny% ze&^VvC0E~XtbDP5UBk0yTE{4E*e1^(hwL(8C_WU|n>~6Wp3p(jY>Vm87<@h%PZ;)* zLD|W`xXSdOP8ujk{AJi4ok>V?CSO%mFS!Mm#GWdwpZ6wTH=j>1EziW0*2*|ovMal1 zX3_1I+*Yi7_lkYg81MnMx428yLD`W&^j=KZJ_E+ji4R<(wzA136X~lpwHaYGfpfH3 zPQ}g4r_9!lOoyX!k}5aXKn5K4yZ14-b+|WK`)OYe4`UMs(n#T>);T`Hk1wy#>f7n; zDa2?`;3f?{WO2)6MGWYf#8GMq<|2C|7_}86f>8r$Xk>VG*%}HvP}Ev-5s)};bmfGJ z(`Z5V#c__R!M86%mb&uX2pzqiILat)C1Ms!6oFOpghj0AF1 z^!BPX0#MKSes3hhJf-sQ#HPi@B&pU>Uk(>e)Z!c_b7eY?IqoFlNEr?(Vp%w~uH5hd z`gFt_Z#zbJshx?HmkM-Ag^3@V;1o7$hNEJc}`_$KAD4ma*qL` zO#=*^?HaizY~EpIrmhH^ci2(ld58G2^rVnwEa?P8r!-3~+7nxfjtu&GPg^5(C>WUo z_CZwwR^z-vE38&bTxi?S8#91BpI*{7MbXI>nw~a}h%`s@jHK}3 zLF^2tsUY>rBxF$<7}tJc7TFdW2Y^W|j~xX3a;0DN<~$|_*4YN2MB6S{ys4{bq@3W3 zvwlZ;+lIpx6G*}L6aeU751s&i?BqYBMg{DjPMMus14!QjFV3X{*uKDmMtLBJ2<7(I zob`Q~%&Sv0nGqbD3urwPHde}}uN!>X3)6?5T|nOje(bQYG90)H>s0EllBhv;j-zA zJIw-!?s9G{81XL9YJE=eT?<>i!$ik~tc$#7H%|X2JHa)-{8J#E*IaU1WgFXZ?8+GW zmQReF)C+L9@CzUI;Yk`sR`gs(A(Rd@TtxBV1o)F3pT*eWdI_M6tx}UJ zpLKC&?WMA|2_5-t`)mf~U8t4cx_u5LocBsr)e9+o0t>OW_i(p>d$Tc)4e804!qU6r z;MFVL%O2-)adK_0Lkn@YRsMv@QH{vk3mRXDybX8fWL3J|aMU>#BXMt(@H6^dj&@) z5rP-Lv=ClvPB%85mPYl4KDe#)&=kLzCM~|GKf8OT9p)EyI@Xr%&&>CHSfg!w`KJQU zYwKJf$cv1#EbbV{M^dAOlxpYV4Aw)KryfCy&GJl`W1no?M)HnubFjlRpBk5D2|dT%4_`>29(= zNZf|bS5_69%(y|Ui-dafuGTff?}?dOHSMgLqC{}UtYKp_+@5Z}RWs<7;~dufb~VDq zjA~&K;o~hc%yadq&dEVld)4$05A|g4nMj0UsE0g;E`~m{+b7F*mb7R(z?$EBnv&)g zZT3KC&Zj5uuBV<#E(uN&f80#{p*>3pp83PP@^um#}UF65Y2_$r^PSIf? znyvuV^b31gfVtS?hlT>D5|PBH_#7F0v3c7%z81|@?%afiwg5;t-e1A0y`23wF zcT!%CfM8G1>3?nj&VrZUsh#;n>Z_sP>Vaf!+2CY z0et?kLGts{AsLKD`N__TJL0}$e)unDlG;&cS*aco2E0I;6Q&mKGi%*cjubO9l@|I1 z{^hHV|L)sOPVd=I?v6NOTef#OH3b=o+VkIbo`ktdFNdL$gKRCr4kH?w#T|!QX<=mK zpzJ!TZd%>6)UC|w&Yn5z^)M|^`p5{@sEq>;5vS8n_iJ*9H_AR4v$8u=&yXl@f$_&+ z?L&D#gK}S+1VI{mqlbD8~F~E zj`y$Eo`0Dn_;JQ-x-jDqrxj@TOJ7XUn=7~WJwiEWrpA2R?l( zZR9#`?2+_E`q)*SsP=&pD8g8%DQsh_r~cD)zIgqnnM5FJ>g={RuyBIv!`Y_$GwEqr zdBTVzDuxfNl6GOqPVd5{7%W2VVqX_%gCaxr(S7f>8nP=RNw~5jAXSYitUVbq`<;(W zfF3J3i{C5F#FFi+Zz}&J=%2e9LR9;O(k>7Sm8h@2NG2gQhzknMPv5mZELfb(eorxN znw+F3Es0uj5Y`%_fg_n&$jcpzObj50PM4f32!9|fNY2-KC~s@BM-S9AaaGCoJ8Lo^ z`1FDu7HmlUhElI%Y8N){Bo!Ce5acE=?fuqz`AZg4lZW4!-FHmguC{}UD9qlCa%QJ( zlD(1XB!)cX^;u(>=HTvo$Z8NnkEQoK{jx57BxZzl?<>tf><8?+{!_fb7>W8`sE-$N zA+3RZn(TRKDPcs@uNyg6R6p|tX>UQ`ZR}L6&&*I8&IDMkVsn_f-@L%8HZv`oP4_R) zjqV>Oz>EeWd8K0~S%Kf&JI}_C09pt0Qr;N~%p?0@zM)5zM#yZ8MXIaE82_ljZ!-GK zBH1=}E(NfB1xvU7mnp%ebs*@~NvZU>^K;YEx^57xHY5hUKDn?L@*g~D7B`|`L(h>| zGa1vN+%kRGpq#ExEF~LZu%YoaifQ}8&c7K3dn0}~;$VY6bV@!};s`z1FtweCB;^Cf z;1b=nVR~!haxQH~zJ{5yum;7y>!^Lnlvs6p8vvpT!A;$AVsAvg`bfDCVO5hFT z2dXH!{`~-U^C=dEC=zRV*3-5y2&YRNTv!@N<-r| zv6Ah}dvSEN8`@P_;7pKolbpKg)bq>AInk6GFwhuJG;?hxZ`XyX zUyA7!ixKOP39t3VHPhuFdD&+evSU>^d5HGxHxg$fJ3}P7+U$bgY>e?a`2J4Ambzs7 zbfATq_|E=}7|+H*^%U^V`t0oOM!0G~9A~?wJ!XUdF#Iziqr)OnM=xOZ$B?D$q;9~+ zYydo;^q?Dn&R`|u(%dg1rcmrTosZtnb8$Q{UnIruUt&yHJW!F5`H%ZB@+uT#1ax6v zEAQk52jofj>gnL(-qM|WOZzND`JXD+AEZhsT3ulop#0=|{mJ&5tL*hU4K@=Y3-{6b z@`d1J0(<1~Z|NQ}@@a@&cRa(=2;y zT0}gC*KKB~HwRYXg=rm^2Q36V>(~v0&qgw3ldwX} zJn{5YZlJ9$tb0%5eS?Yg@B(Nof+K+6@5Y`jeI844V^@8_CVJ5j8&S0_FoG0^vDGT=H!{TB$n=Rn`PUnU7U_Z9896a#E_9PyA)Gzo zUQqikqKgw_9+T}&?i9#G+*AM=rZ(Iuw&_jE$J~(=fvpTQQKg(wev4vKs5gqkq>)I7Mg5(b;w-wQ=XnSj!>I9GWZ10Xd10<2P;Wdok5me40;Z zFb-FUbi8c!%XUJyPjBa(YSW`^zAGE(kjTiF94;hyL-?`#U*&Q2U+X2;_0y%qARgOqK_KrK4?FU@%r6VoLE3@>GbV@TM-om`N#8#HML&!TpixW5$!Im+pUnybdwm+>%doq>GdcTKw@-W1m-^LHbE;qG zv3AMAVSL?pJBM3D-{ztNQqD^#vO&r@uETdDQE{A9*{j&Gf28{Q zG&+BJX1joey=|2xGJeA&a*2F493r8_^5K)=e;S&{No2J=!ad@10h@i+pFTZ1+4>}B z=nU@zj$3cc@=q?#J;1H_IBysOEH->6HSvZUl%SDehdUp^yXEd=padS@8^m%EX9M-SVCIMqrV z9V6U8{gg??q`e(`Kc$bH%qd2F0N~wXI$M5zBrTt+KFmL(b3f6&m&0Vkt8zlI*8OEK zh5m9T0MzOXH%qKJTwLL2xl}$IZWhfYGP`fMSuQekgV5AthF_cUlNjN;;bd|0BHmt} zJ=B#zSQ@&JM4Q-;s)FzcldbY=D;-?w%9Z{#n$tjO8o&{*BA_&VOf+!VlxOn7KjY<< z#qUTRm#oec<8?a7fs9w6nMT&c|=$2`OE>#k#&%zx@G4cFpn0` zf&+g`oM+Ma^LY)0~k6N_q&@Z^E>(5DhB4j*UIuP{II zYduEKTrAw~RSwOQP7?-H9e7Rpr3*V3pWP|Kx4N#K{?L)qycVCwk3y-NmXx0w1~PAn zNdc>h4RhOQ&?L5db{00B+-&Mc&!D#KeA(O*JWC#VSTy3;X@on(F`U0IY3*rMIX4To z`V4S~ID4?JjvXK^-%lKg?3(PCG(v6tvz0^#>PEmL0ziEDfeaG-B$iNJhrS1Zc)%~% z*u9=m)&uWIxUf6xvvWt(=TjM&eETH(BinkqW2V>@$0%$K&J%}+Pu-l8U7sR8Ja*Sg zIdhNjb@)Y|{EP>Fk%ztF03dE9A74*|I2i>G_)q&~F*_w0AZXn?fQ$zhfQl~{5~$)b z1ckLNhNH8aOC~U*ljR`gQ`ALb8Z!q!R&SbR$*_f$r}0Ur!fzuxUmW`Qam1YlOpNkM za!8i8%1az@kR?2@&0N`ljea~%htTMVuVQ0XMoj5;>~M^eJ0-Uq8k!D}($~RxinH4s zb#v}8T#x{Yjtyf-cE%+AGob4p7xpRV^9IGoPjR>EZpLBr)5pK)W5sO0^b=Df_&gmY)`(&lNpzY0XuNw1;~ri z-Gx7O|Cj29_gSDxJtst z#m&8*`7*5>`09+KLpzaa{oG)l1Lsn;@1v5Z9QhqWL>JgnqQSXGu0^zaQqD&2?vSMox=+Kc9T>! zzTH~#wM#Y&u;p}Ib-kV`uUL2RI|clhi)%~%x9G@T9y8Zz2}#pvhg+_PTY#1CHYL$a zaF855fZY^_HC7IGvhb>~PBBjlN3z2#Dy7Wv$}f%c&;uMe;GE5#?Y13K+ht4e*@?$< zG13tD&6^+(Te?3Vo|FS;oITa78Eo$6`{47xEi5RN*f3Z_f`yCi{%u+Pdz1T38G z^uBT0r2IZ`&RuuJVdnIJDX6}-RccY9FYaQS4yjny-G@NM^8Vy~eQA=@09f_-&ggJ< z=6+532d+A&tYT%6-XYFi6f<#k*X`VKxvGF#Wn9nMfhW$vi-mHsXzKY=Ga$85o~hLF zJ{0|Mb#W1dcvBBIzz{wH85_%aTa*-{EBph0sI~8A~N#Bk9mI~A_WV%xiDebt zhxH&PFh0)|bDHF?k2EWfzxomK`M88W2aOKP3f#bg}K( zw-HJf`6t-9j2%mUivwS0jBVb%DFRiwku>NWsc>$_8Hn35LcX z3J=_j<;J2NhHu?4^#iwJc$T?dZzI^GWFP>`5%ZPu@jgah@nJ+2#7b3@5mN?i>%w;E z4Tlo4)}3-!iH$72Ur-M6i!HNM=>x51$Uh5g=5f_-#k}hQ24w@AL;0lYGx7Rmz&&st z_B$0fquuvY;S8lc5{qM+rIu~GHR$_3J7X~8aZIJhW{V)M_UK6n;xbJDtJ4!6D)F*e zP#)>gqXrFc<6}-h;&xMzvh?9Bsf8yAcppnFo74>8evGfPxS3&JDsSFQE|S;F#eU## zv;m8~x021FNlrLEr}AF8tn=$on%>Vb{X-mP_5P)jXYZ}c?al&r5(28g-Et{m{dRw- z3=W)>#wSs<`Av3KI4%2gF5j1{g628;9oOBn_XPm3^piOYnjUv_eC@iwUMnx%lJmNT z5B!o*9U8Yu6BJt8qMY_W-8L;s(OrM-#M8^r2%W~yRmAvu`ONGo(NUcocMSNFD)mXu z7%TpGxFzGq@?$l^Hf8){sz5ocxSt_ntKTUJpQD^)W3Qe(Fm7-Mx#6kLxtw}ab5%(kT1cmvWD>U4g;Wbcea>lE2J@*%N z4bb66POvoyy^Iw}@@0`@`6Hkb(&gcL^qkY$8D|Pp@KlGV8r;-&4I;ZqwW*PeM}(gg@{Do=|!ury_GXaULPjK`_2syK29mHnMyKtXted5|c$6rj||NZa(P)h>@6aWAK z2mq~qP*|cD)w;C%1OVy#4gd%M8~}4SYc6VYZ*Emo2>=6T=g(zk=g(zzcnbgl1or^| z00a~O003OQyUs1K&K&qE2Pc`t`(WuV{i#Dw<|i-)4hFD2fX8-X%)3t)t4LA%i#}>~ zt97L)UW)(wpa1bc|M&m-U;ptR|F8e_U;fj7|HuF8|0@4j|KT71uWX8nLTt)Nz$-}a~Wyl5;c5^iq^vM=2)LB&Y+P50XBL*w)N_vcun zE8Dcc6~qOjf!p5_8l29qSB9;1bW{cNPdgk+4&7ersTS(qf0|W#7KdUV?WbiOYu}pT zNN$qnPv@fB_I&&1pR+f(3fni~jl1KN!jkFRhfj?1XQXx9zR4OZ)88`X^zivvw1ekq zEU15)6&%%w`Qw)6hHT&baVMzR^V>PxTwdol`1Xyx*~q#6%*sW^Cosi@aF_fU<*Hvqn+DH z?>}UNn=Gh*>nG23|M*K~m$+4Xuf8i-4a)iI&chV2$4r ztxpA7p|i05Z~YB2(#=MH>kr!~URbdU^!vB*a)sbPnVj~$Z~1bmtZ&%3z{^p|v4M;? zK7P}3g+*2Kz9)%Ve4PA#8riMPZx`?tcmWh$9RKV95n{`ABU`|-Itz7HqQ#eTjO z*m+;)`*PPXr)KT4S+5V=ZPqe#5xC_jG(B!pIWA_+hYg zbh6G*M&Rg)`HoLWU{A_mrJs;M9yEtuai+wBZ+t?6@#ddM|EM?n+ud9;gL`FE|HNFC z1>Ywox%FnxuwScH%0_(qHFvD~jE%t>Tx8IhG+MDWfUTkj8V9=-(ccVO8z@qYHhdNG zKp7Ai_<*|oaeEGwYW(&q=W~*ej_))l_tu#-#!qLEWTi1A)9oSplQDK$B;(t^oG_C@%D{}lij7Y|Xp+wK#{83b<@h!zYnQJvWKfe!DFR471IA zhRjbE9~4519(O5K{cL{PcXq1(*yL}^k#3UzwY%qcb}k;rT%=QH=hs4RoR3xME<_$Q zu}`>)`HAs~dt&)4m_MHlz42`vU4=L*-$v;Yv^WUgMgfEP4uzsBrq&!~j&CvlS=`-f z<&+>Saepq#2r*FK&f&jpla_jm#6)?-z&JVL?$>e@#zFn34FkzTH!Q{0i6M$1MJwlJ>{K+0>IHvAzvM z#zQf2eH+HR)>wcWFYC|~w(D^w=z+n5r;@p?Z@)Cj(`?qa85X%Cg@sl9EL%%Ye51o- zn!@YSZtyu-&CjaM-SG*4-$Jpa(|K!NxNGt&>Iv3&+5qdjTGpCr^4v>L<3*SL7HfIh z-H)>d?)x=#JJkkQ!>^~_%>!nD6tRLHM(QORcfbI!-rBmS3w(k%G@^ zD5fm|l!(EbXz~5IoUCSn9dmkzUXUthc?COGHyi%R#FXtgKVJcd-v_HeB);d|M}MFA zsm{WZZ_`R@W&F^;e+0L$;0ns@>L+S&3V-^>lJ0e@=TJHYJ1S-5&GM1H z*C@h%1=2?^wHf-QnP&&;B@@zGVUs?oL;Oq=K6pUKH>P)+HM$V;38AE`F4ap*Y`V@% z!#KO^z(g-sl5hy7)Fa{ z^hkl!$#u%dB&2fG{2o`MFT0C1u_`X@bb|A7nu?c*z+nS#Vo9|I_J{Ltlv59Hl)LXJG!bfj^V{u zz-Bb-q>IZ%haYX+kukd9GQ6Es)o^dRY}R)hA>U#fKCYsRucqVUDo2Xx%>v$~;}d=U zdB~*$l;ZMN5Ozp4;o}-DNl9OU9~|5cbx16whVi4fZe`SKe+>F(wzY4MlJ!+^fs^=g z{kXtbxtp`AUzB;i0=sI&maLzckfgm*m+#4;W%u!cvYu7)ZT!>olz$t)X8u=~q*7m* z-@cdDfb^F1M^;n6Q$2Ib3b8lO=63DeXnLUQ3|>bC)~ox%l+Iyk*@8>(1+tC0U1K=4 zq;{AY24DH^V2dB!?9}mF^XS|hp-rQb=_}}e@)kdzgwzwy{iJ=JR8%p11)p${b)#R2 zvvF>(1}2b&i}rDWoy3tw1)G1ffhUj=ar?E8DRf;j*a+woeiHTgO=#R?_3L_R+hV@8 z;$lbL)8=QPaXXyi!h$f#9@2iL<@Ract{;=egTaE(6dKuhr7hC(eFaTI@DZ&8ZD^$0 zlzPm6-`e3k5Y2LV(spWn{YmDHkKS%H+>=j?p9?Qs`!Hozu?6znHbQeeI1nbxCq@8s zr|TkB$z|*+m^v)_)_0w=`y4?HCsCT8oxT_;?iZLuDR*^E8BE$5a5fAY?4`Gw`2-5>Zi{^pio&*Mt4)TZse z80yvz&6L*JUUX0>S|;B{Udb9%%rKj7Qw4_EnUtJgL5QRz-H5Iut=ko#q$8_C(Z_z+ z749n-p&j9Y-+z8*o0Ky8w{yjcdAWhTS0+2Ir7i;y3i#ow@twS^z`iS06-hTB4Bi1? zzLmO5^pQ+Kt_OQA=Vv!Ip}qHu#P4dyMG?Cf-fqhtg>uvQu@Q z5HRo#3A`N5Z_{zJ9}UhYfos-P#gwMRJN9icjwX3vpSrdm9uR%THs&UUk=B*Y{O10- z^_w+pH~RV~zJtr{Wf45@pc_U6w_gylu*Z3f!CLG2*Eh1OLt{IKOs&B zI1jEdLn7lI9Mko0Mtz)K5**JcSTo5*=_gcR&7_KoBl`(~)S_#kJ~lmNLE!UyCd>3k zE_Ze^^0=jp2gmqWvXlVaDdUJE_yWTft=#=SJ|5k(+U7eAv{4R^%=xQXzg1wVbPYJ^ zKnguLEJe~U!|qRlK!i1~sxKmOd3TstA+ zXzwl-bS(w(B-juofACfTqoG@_S@5lSNd{c9lS|yqh95m$xyV*_DFWtTuUyrkV``3) z%`hL`{P@%tKUTX|;!zVz-W4vYD}x*`7JvSkotM zoKMnpDT!MRmc-=pQea6eSr-6HqU(87u;O4>6;PwmRX{6k>!Mio%Jy5fehw1{MT2>M zTB_7b7uX_e=KAw!Sqw@Fuslk)$0K)zvYZ0T`W;urP}cqK6Z9_ip27y0whK&v?yX>L z*jn8FJghrA+40NfT8`g8QKL##-dV83DamnQrs-*@VU^h})8Cp%>f!>U3_DF}e4Fn5 zm!tsLTxxE^boV22_wQiW_TyH7X(MfTvs-XQaadtukeX+zptz!zN8`cWNG_X|1IiC}XE2zu^9BW)b`Hf*GXtf*XFWKX(x#6mv{7Bf!M^z=;?Hq%j zT|YTlw8AIg2>DB0TYlhaQ8d>}lh=Lp$J;1;EVk?8>8sq6q~g{oDchJ)#jTU;?8mecv7*T{=!#ov7l0`@{`f@D`~QgGtQ&p za_oK@TeS?g_HC|dI6zAP;BtclG~Lm*Xq~iFH&oo1sW{w?y=x_Ov>YS&BeZ*FR9u*M znyDTPf_nUl3pADLrLk4bU7Q(oQO%9Iru$UIrCM$giv_)E1rD|=ZZ`C+sBol~dl~D5 z*mu$_z?&wi$SbbYZg^uyhTkp8T;XT!ntcuq6xiA(D!}D4ow*g)aEVV8(kfi7c{S1c z@mP(YKI#DrOYQ#Hjue<0PZ-8po}>Bm;UnLHcXo0qthl#JkEK=YwlVS3P8YQ*m$i>} zKiZ|y{RBr{H#Tedn2tQ14;!((TmFrY>x^e#EO(5hI^in_^?`|O8;a{1u>8(_m59;na~zpp+DH^py*pl*2<25BGXBdWi^-XmKMcn;myl79(SFe zS{26+r@i#Vwo@A#Irj4$KL!q`aD0r2Dx$&73?FZ4zSwi~=}yZVF5TkL+z@oxwkNvk zRL|%p_t6lnMw&!ZeDH}*y6Ae=njUaBuu>WU*YpT#0yp6rs6@q4YzM9av8c(p^lLuf*TX+n2}EZ z0j4FV237$rpPU3W7|o65Lj&ru9%Adz;Ph*>snFnTF=Rd9!600{BYbDPtGKG_*j0f- zq_n=FZILdQ%NN=fcMfJNhYu!2rQv~LgR654?}fNA)G^7PQlX8}a8JGAk}WHoKbP0p zf+=yFdXWlU3q%5P<19x*?^p8I={LrafM%!Jk zbOb}uGwC;{RTQ$%Ca;BNM^j4HI*!LpEYaamr6K<~&eWmJF*gQdPk@Baxq zCY`mMzS*QZQUh>_cYeoi_$^)%Adn*ekd{4_GNgqMXm@oMG=;TtVXlyZ zw4)I{aGn=D7^{j77ww@hZjV3ssfJ@yipz+N?kcV$rIUSyZc#iz55VJfq<$g*L07S@ zSA2(weOd@Yl4-u1kj@F(Prm|pj+vcrd<=9k9G7H-oov!wwmFHEpMc;}6)Oz=B!$og z7b1x-9PIWJr)r|Zg{YB^$xw?R5Gl0XAMxXl&Kh-v5lcrXLLS_%!Dhi0I_#>!ufk+C zbxq)BpbV1fhEwMHdYW23ddWy|c;Q4`guK-_HpAnDhUn04@Q#J32rddzJt9z4prIT* zB@hrH1vaIRg(x8vu+8%q0113$`e0IV`W3j*fQGlPK<*(!D|fnKgA8rCJL1vO57qtj zf^b{su&f>~Vf^HhbK6#%mOBRO(Eb>sGf^H+2*cp~l0&ZT9*^R(AGdcwqj0EpI6Uw| z^_}j2cmbxK{3}>-b0odp+G6DS#dVjzA03!lV(y8!RR4*n3|4=pb2<&nan+!fky?F|b{1Y$L9D-{2Vf$RuaEWWle;AC(3$EhsBYILtJ}p_ zIo(|=3=$<76e{9RPLdq98`pTMBi5v3FZ#Nx+tSJVb}b%p%?dw>OMyN^FO1L|G!_WB zfNsJSHV%ps61dFBk+|t@A$zDwFb!UsyuiJnxa<*|Qhw5q@S`n4@W_!7oYM0tu)A+p zF615V%;H14dq>DZb`M_2v4Z}1CH9N>mb{mC_dAJHrZByTJ+q^bp|qhj9f7!^RdYR@ zHC7O+Bu%Iezq<{+GJo#C#g5NVt#PsM2&x}iihjA`Dw`exqWj7Iq#`-?YN@V>sHR*G zlaX$@WMz9bSKMlqERS}Pq+n4w*Dvj(x73?b0PZDw%jN;P!>2>DadA9`3S?2B-&sWr zPY$81h~d$EvXPD?K|^#!#EzJTYJk(n&_zs-xC1)5;|=1GUSc0dA0dObpdNLzvH*Gr zGCK;j2ioA4wM!?qwHDSv&{#sOsHbG7*m`P_`DIcbJk?zpG$F@ywj=H9)54>IvubfW zQs1!>oXliMdSH6k6pzdkk+f z&Da_4naKm`OaZ+7$Zn2b3dB5)yJXNIsaix1FQHsn2*Htm3pc)n;N<%^B5d4gm5mDb z_(4JU>xw!)ngww2@jg0g_nm+eTI^l~!(?k1xC&En5pbdyh4&p)Do%VSD zX@-te@1|*lN1`{Vo^V}UVHI__38j;E_iAp#ufRudvBu`HxP0H2!1%HL9va;r-}jin z$>$-4>84_9qygDzT#2OpT#C{l$l**&{iBD2ObpfthA8gDCImyIOw@i;I(>o=ee^WO z;PI3V;ZVtv@X=7==tjXRmYWhOe>9*DNiiYX)mxpt+AiJO<+ve&%H2jc3nKi!=m~^% z$t23I@8bd}>Ei}ZE~&4exsH<`g<~9Uo$zI`)j2s@;5SAq&RaG8cXT(Etj12-W?@^&0NoI`m0W*6`WQ=vZIExk6ehPr6}T2>venf?_qO_7U2WaHiYX-v zy>A-gxcn$(yUqJr+@H0&3Yi+Nj}B!LS3zlEhh?P*<4~ABwMxGcW>FlgUtzQ% zj^iY|-&YW5Zv1RDW4ffD!4h256kWi21t{f1TEA`5Q?O)%g;-7Bq}_NkIPvgXR#)`E zmI9WCdV|Hd%iVplpu5kLCJr{?DwEJ)EjuD4xf$WB>^$bM;N-aP)*{3}+q2<%kSzaS zfot8jzY<)<{*D~Lj@yzvInae z#WA(?Kn=(Ou1=U)1-Tq^4<=6IHn z19ptV*O%*L>GRrph}l}UFqi5=SUKa%L(zyl)?hznA1XI7?5BRA;JB9f2}Z*KyUkb5u)%0k!0jf~=%|@tXi1 zA#)<>cFn^NMx-HmHvqFd@`fJ_KM!vrw2r(K4L#uj%j(qe$);ASjnF#scy?p!Pk!qS zh+0%{Q*?syRlZw14PbpOJqb5J&~m7%&VuD~JSPX{SKSQw(Gtcbegj-2MI$%hY3YW- z3ZNla8hd^NDgr_D6_qHai185(=2*qN7gg%scRW4DJzOX0i!8|(YPbqi6}a~Xoio3J z5sC_avfzhQ3VQH1dN3%OMOnb0R)3x8Ka4uJ`i@p&a{6a7;9RcR$ zo)3OlUZwovCzs1}I(J}s)rKcIGYCk7*;R@!EwE3LAOh>qM%h1gLY)f#;lm?lTnJB% zb}?%O<<=@a6t_?Vd4jrkIZhXOSuYm#6NWw zxD22pA3$NxM?;Oc^bz9_CoSD+*uGp?DmbB8c*kp&5pr9}Yvp zbv4J&CxqJrwpIy5JW*k6mG=Xy0N#?vld+&X8&VC!m9Uyax3!Aj!q%z@n0n*5s{c<~&SXB05 zMX(A_N0?f5F7b@EsDhcK(Ya-f>OA(RDGhHdW`m`*XCZpVMV$d{ZSLTHdSgA)zg<7V zvvWEykS=F1qSidDr-V?+PU0>yl2x@$3N!Z&55i`UM}vV>cmQxfkH5v6Q+F=hoa(fZ z_8Kn2n$A)fNNfJR`>8~7<`AD|*3OmbodHhTBF4}qqlaAHuymTg=zXGvNt|~Z7%u$+ zuvieTg50VwTnZt9b8X;izcfw&SIf<)WQ^rsLlumqGHozyS_?Xb1sFCdP!8^gRks4n z3Reb9oih6BiS~rSG&6PPZo@w`d)rr+4@9VN1K;&KtklVdPRcl1kjWi4OJcxIy`lsY4geW|7k% zBt_TFr2@YoQsM<%m11#O;rxZu2OBjVWNB-F1HFby9)MRlRtAS+27m*33&LK+eRxYf zt9slk-&pP}OFLRKM62sW*Pu;Ljt&igRx$+*)v&{H{iq6$mD8l}KnsG(fvbUJk$7PLDOmc_&HX1TztIDlv2(C{0Jn^kM!sCzcLwKCQR68sv zLVqeMaN9-E3v~R98s|@2qjkOjH@s^&?Uv_ZU7pa9=i!-}85XsoH{7B|oo)XGOqQ1M z+&OTvBT>Xm2IP)Z5#lO?1HZD~vBN^sauWcw$Jyrx00P}F3+aeZoB8?uXFl~EN$qvA zkGmwPti!?Jn;*^c^ss6s}W#I2}-5I1mxl* z`*}RPnlf>R4M<=X9QnhT;rM709@)wh<^)q?_VV-OCA3fXLh%vasFifhLrDu!rhAHc z?XV7wOoqRERqd``SfY2n`*&E69vbndzh5qJ%to5ldI@Zv&IJtfktaVO?bjzpRd#~` ztS4~)J5c_lJ)WdPDXK9rtY2<)ZZoqVvC^YDbd5gT*{~nwe!%qVIAVHWQ#0pEu?~Zh zyj=Lzj|WPGQ!`q1C^#=@Zs21hnqz<*{XX2&pWlQ$)hOi^PX7h#>>RBw8!{2QdI?cT zY+FR)UcUcO*$aH%8}ezS>kp=Znx%&FCDGG>!PCE z1_D@Ia;n$weyLjB$n?+`a&{ zrna*QrQOt;Iwx&%EEj>S(%f-SIgZ5NP2(txJ}ZEZQD#EcFnwb_0e+mI}gpPI+)S1RTK-I}``5{$-s+VvbM3W^ppT9#o6I47K$>F)9MLg~Tyg zAS;KlkB`LO<}pM1cvL;LYy%*HiaXdU@FRVgf5!kupyZxGx_jaXy)YaHRKL6Km{!bT z4Cbfw2v$&jVnO6`1E_(HcFtFzdzZOxvB1x3x(g1V2vT>(i|SV}gQ=)t#XUsm$vS{5 zSh*Jlzgs<&*OtsjhXZF}rS*EIR=v_)-Tq@!t4F@fr6;CZM*aI}hA+A(cv(U7J9XRq zO!J#3eVzu;26c3kJaR2+m2(0;OjDKoYIhJ>#+-~6dG82yKU!qtAin1S#6n9q;sJ<- zCU-v4-If0Iz#PC_5NgBbSH24jW%a_*2*-LYhUNJBoPlcr(=@K`8c$70fc*I^!sg{k zU|0#fW3Hlh0JN|ElF50Py9__8MGfXrX6o8@tRxNSUg7DkN*%`JsOeiWXVX_bT~+U* zOF;Hde)KTj%@Gm?U>4NbsRC)unZ#{$H3N1w7TI&8BheUE;DRF(>4v!`)9rve zO;OwcXBqx9vN)>_cd(>?%>eEJ71jQGcgQb(qd7XBTG`xz)}MEmKf1~d_}2KP!f5D` z1*@R~dH5f4N`no|vj@xrN9!lOJbt_D0S|4Vx8vwHz?jPr-Zu(9W1~hO&X9ETueWK0 zUb66;9zaZI*T#24;+o%kIQVid&T5O zmYXrR`n9^}ePp|rBbsP-mSRn5V;()s)Pu9BEe@vmrw0ese^ME9&V7TwBBgNEdQxNZXAC%>fT6b`H3%cpP3~!B8EW%_#1tt%W!|;Ef8E zF&qk%P5>XRC>>tX2K-dy^;7r-Aa)V{rBF|ixREe+t!o$OG9VL?S zv#q(Kh}zY<+*8HzhTqe@q3r}pIltP4^~@X9Fw{oQ+0p}D?2JIm1KufefFrph9Vojx zJh{!%XpZoU=dwUhza%7*e*07#=kM`{9fGH^bm0k)jR?3 z!2*CRO4?+*E%@a6$qx(bU%4aZP9ppn4)1c~o(9YJr8WS9_H(9zF?NJrkqrNCN_NN@ zcdmF~A^pV6IeLG&V+bWKb3c(ahf9FxF5(5)Eo@?GLf9=JkS0C;7!G*H-2umuZVQtU zhhxU3WcbRk2!2UMhXvslXR`hPoa2xuot|)4FN&6MCeb~Nr^Spc&!&JHv$R0nW0eN~ zA%(Z<82Q>gro+QAn0er8sBl0&U*%^>^u{qG&lVjm$8>D`cwjmz7cu*XC7F|K&u_Lc zm67-3`Z&`vg zCkH$~WFutP=ZsV?{3ztmbDj4Fye{PEq&M71$Ybz^v@Z?L>V92h1xuVpSCV;Qz4V36 zegYn!wEKUNv)g@>V(HXCoJPxL;|T?a1vx6Cjnndc%LT1kK`l`wpJ={Bj4Mn_kj;VX zeBhHXx}YJ76^y}dP1ZP;f6~YqOv6t03Ht)?w6f$mk{SbiMHY1df3!mr{M+poHJ0_k27i|K=A z^Q5ixD4p%5zc{MFEsDIkOuM!AyFDkgVh-2NCj!s0>LVqh%lctEinBMS$(^P;6Q5v1 z;36g*l&KPT&td@lY#yv+TzeYyz4(MR3}@oJ7!`9oNw%k92J3>lSm1b{Rv#Q8&y9_m z;Nkn`ot)s=x;mM>KTWqrn&ftO3A=<$aA=wQ2Wj0wTHy;PGSMG);LNZY@e2{3Lk>Nm zn`^xb&)L;!wC z-tQ9u_&wx-7px^neC)c>y`8E-L zE-cJRdboRaC+$~N-k+vrGQ1Mdcg^xPFVUe*-K4iGBZx;ok(JQH(MXSc3;F2nh<>cG zdA?!}{BG_}RQP^#SJ}=M_VM^iPXuJQgxfLq2p4g78n*IZnkh>+sF~3l?xUqPgz=m) zAQSP|>)hkGQn>?u|~j5 zvC_y1!6^EPcxZ*EYkYSkt>G5j0kc4r`BxCo&l=+M(;e(rIbbJX8QHKCN%!m2hRdnQ*W1P-JG<0#LJnJkoe1l0t2HI&u0Z^E{gv{pq zc%&&%LCD5O1vfRK3UmkV+);2=8^I(O60SMqh+X?uasNF%5PFtldi#ZRX|l{W(hf#s z6S!a*)&5`w-|7{ZbW_1yy{s`9Ak_;C3DZ(!<|<*m*s8(7zZvMdvhB25!SsL!eZsh3 z((No{Ky&5ZU_tbY{g`eZ+^jMrP^uiif*RrpZS``{@A} z2f1ICWfDu#n+uu4ghF9VdBK9~@pOv?BQnfv7F>TuK2dZum<;-jSjddFQdgw|I%IQu zz7<{Rs>zhgWT4~%xJ;+cTVW^dI3#rRUM+C1*+#=vwq9|1n&GI*LbzGt)*miIsN6mK z3>(n`uY*Gc}h6tP`&mRP3sPB2mnYHtfyD3lHswAejy&)#qP zXtuI@S|+;iE`*GFw7d!&Ipye;;VwOdr(J!7y`{2m!$C*r(76nUH<>OL6xZX5wF`=C z>FKzIdn9C_bg=r={`)o6;7%W06VN$J!l%}GS=48O?p>D8h8*m(t=6`_WdN!JKJe}XYC3pFIWT%=u4=3qfv+Y^NI8lESSFw*O$zu^IifRK@d zo@IF@bOiFGKuic{q;csO9-q7&7YqFC&}s!BAEmF(l>r4ua?4u?8u5$BW`RQ>kkueY zq~;p8wB<$ZhHHxMOExmok!HBVEK`N4Cb+BuHShe`sS`Omx(a5_fU>4LBWJ5!oFAEwo=nN8SN_p?A0ObrnqAeHo3lR#?zz@Lah2))a`kmJ5SA z_;LC5Y^!>}b?e%%xa*Q-4$;%Yw8_R-WRIb;VXcb^&V`JtZ;^+L-kE+8)s&f~e5b@5!<*{*kDz`4mCI%1@%9Dc@G87wc{eRSnF;n&*EAsAb}m-7iCCwPCrHU zfFrT}RH36QX*V6u9Q-32Sr$3AukZf~lshrlfVn%`9$@<``3fxn-Ff6Dr|4EK+O#Tiu7){@1fgdbQ4|pJ; z#vZx|jsqtYX?NULMKwgN>78#GmMlq-Vf$7Q&8L`0zhW&!z5%KENHswX+ucWW?J zUZ((k*F3juWl7}6^IEr~%Bj-xT-gl!PWsu#g1{W(`DJ>N%y*$E85G#rw@{W#7TW!I z);KmQQWA)FY&Xw)BZsHAU0x8bb3DVK7twles?)vHY#Hq02;n>|wq@q#nPnZ_#r15o zdo35vRpDC5@hG+GW{|Uze7m{+NnT@M@P42|I5=+x-sP33|Oc}i`#kX30 zR5HWGRW;=3j~%|))M;#7>>b}t1vO`-{%GG)6je5ofNR^b&BgVrl`SY!aazRY+Qr-v3^9qXHaCk9FlN^xeU%`v2@v-IN@$ypzuDUtu)VxvCU1|}&v94gqIz32+(l-2!Fn8)Hxhi;q>bLyuPV$?vEeo^NmFC9 zHCBwS*>Iz8iN_*8w`RAo#^Zh^Z1R!kD7{KHyz1S{nv;9NrDLmCu5j@65=P8zGWoWA z-REkVce{B@IDwYHTPcT{9%-J{OiwuUyI3x~aZ6hHuyZacUsQ0-)+%s6crp!m>pCnr zt1OOx&Y+(SL+DI!9~ z0P=xaJT#eW+3cv2{5K1Htd?kxgwUdZno)L34g6$t-2jgO zs38-#gbvd4L6V+1SZ_naD81Jr9dWW<1&4_kT}8Z+{Y_V7w!kl8J_y|de=5$6$tvZ|E!O+|UaPz8xni-_$J| zFnY-YZ9{)42XnG7gUQoruZA~wd6f`(eP)T9zLBy^3L16^&o%lfPR?b8;o! z0L4z&6(2q29YPklJ#`3`gnO?i=lBLlwl{%oTyEGT)dSpDKaapwRfRM1|EfmkVBU$y zbjEw|21d5hH}D_@NH$$)$;SgD+pDC(!P9Jiv~SX_QP>wvjIDBJ#I(H|pxP~|g}0@P zRd^5&THtKU7^@`&XN8^k6M(io*o!@LBn3h(Y~XCmCgpYdb(5J>zXI3cP&2%N#4R?e zDL#%mtMeYVYU&*-54CfXU31$4tXn1m_V&2fglUKA>;|kJ*XYC2! znxY4ATasJTU`b%va^)ahu7^YDiS21CP4Tl&_{%Xob;G``N#ODV0JzkH+-1j;X6teY z^R{P8e-fI`z7ZUue#HC_J5F4z>Mm zz*8c!rL)fFERgDmgIM&$&W^>ROYx@y$AzivclVf2UM;?Y`X~G7o^o+}4y$m4Murfa z;yHmCWA)LVwp|_XfilN_j$Z)8v4Y`vID^Y$cD0vZu4J6Pp#VN2sMq+%uV@(Gs< zLgO8{Trd`ZP{9XUuQF1brhDiz-Rf6xJQ3t%!TLoe3fAcWj8pTut~}D%3fT~gpxqCg zFl2hxMp!FL0tZSij&(1bo*g(})XW^Hq+D~Wg0OQe4u<2WEq%l-mo#l2Q#b9r&QAAG z6;3cBL$6=XfwoDAZ`vHtHzmW!fv-s7ItQ*Ij-Xgs;C?prPB`^OdYWi>XvYdZe7`t`I+t0+txpGwO=-2@vz{AK1391lsE?Wcn7T-u zM-MpM4GloY-~^JD;{Z>95%NdhXs#HeiQ&{6cHQ_&bFV-87@ZmjUA#LU10`VJj-GJ6 zB;9+yg2?^BuR`FX&^XAzph9y0M!wQ(M761)Wdy{JcIRETyB{s@AJ+|V4kQ|L+f_IV z$~>)t>RDj5E}({@{zj7qcL0x!V>{t+rQQ$regp*nR)Ggx`aD8gC5f2d30!Gzni^@K zC}eyE===#2%2&`_t9RIr>2BbphLFapDh%j}9|tdBz_jh4+{%e!50qO9_T?K(2@kfv z;0kR2z00A84yOmYE~T41dSk{=u~kc20cyuSIwBjq4Gs|H>n7A;TO;+!zi#5>IP981 z{g0`?1bN4y0leeM9R)+;VDa>YLQMQcw3|dV!Jd_Yn&5LaWOO<`(2%wIJTcwzM9kqV zS0mXQP=6`ruaa&We9k{KRWA2;76b$ix0nTqQ)pq0re~t)&sMdFnIRX1E1JCDiV9r9 zmW%+U&`|I;n}ImDyeZoas+nw;ivSdcPiwk=6s}vqU(Dosaauq&>l2g^W1%*I9{LUD zwC>5Js5<&&%odmqq@8zDopRdUklgqUcSCu6v!l}ul8mrC79T#_Rj8a6h*w?=6` zDw+&HTn(-PN&#&bM-ykOae!+^DFif!J0-f*f$B-R6ng{F#Q3 zc`~+4+n1(4@!1J$XKYrVjej^VSX$f_pBQ zgr>eU?IV|7sr8_D!mb2;Qcj$YUc~IWbW5WH`fdIi8J!aaZ+lmo8Ib28cZO>Q-TvgZ z(LL*u>-jWnFe^9h5G3)^a>Ty{$!DSd3?y;QTrhIm0gJeQnO@2E|Iy`_99uw_KMzT{ z_R{P5+3@*ub@iP&)A#&pF4%c=ERj|3xuCtj_k2i;3v z`gSwV_4l{`c2iH)w|Dj+DL-VR=IR#oKQB#Ks!MMMRonu`um!!T3Al7VkU-ZzJChlC z7WDY*@tnH^G(tFX|Mq_CI|;}Aqp1PAWP27HY`g2BnMn20C-W6E+@4I=hp)io`q1Dj zX)$%VI9__B!yNQX2N>v;t}&o@W<&r)%D=Xn=N8yUPh(qu7Mj^ib7Mcrs{*zC&)cne~r?5M``VcW7}mm({dzeFb9ErMIT&k^SJEsRLs?%{ zK1Vr{mgMTzdmXZzC7C=4L;s`Uy`LY43L)=dWFN^#?~xt!()+nRA{j~Em*-`zf10Cc^70MNqf6kj_8%?k&oO` z%%VDTLFS>Q{Ps)cgQt}8dwwk?UoHzgHgeVUz`114ORvCTqd)Ys^b4-i@ALbw=ij!~ z-}5zP!n<^Re{S!~J)g$~*Yx_(30fcIG1GR?kgoIZU~<1aGC6rK$Yxs9OZWHZk-1DM z1ZcVB+Zd%;x^#Ie>kmIKaLg$4DZo*dJDamnfjsY6jGC{prHuA0ijmLoQpS9LUC$Dk z`Oa0$BjfqGX6;Hb4~;w$020XKINyPq>mBCx+`$U;6Hiapewx02Z)-*c=L1n#7}YcaoyytnEv-y#Z} zDoWy$1#vp1}QO`B)q8$J%^&tcA(s z!T7dM=DBc!$ecn^G?y&T(0toxTW`5>FCCL1;#9t|8Wq zOdqDOih`QY;DRWN%&uTRe}10N0SN1Pd4AvTnc6l==1>iZ@1DoAXpIEJdEuMA{(1U5 zXQY|$ANu{+%=af`C4E*Abd9;ANL-RXK6CP+ie#8sw_40%pj`+b2Xay`$tcg^qqOv8S=zE@U^7E?Ut$FbpZ<4<`9`qXzU4l@B>`jznz zbdooG|2?V_B>j5UWH;kzst~%xy)*q>q>;ZRuN!C&TP9&}e+p*GV+wjbqYc-EJhxCE z=Fx@vFgIUVu9xl)KZkbkp`jkhhZiu>A96j4ZDb?KvuPkNPkYw<^Yjl6AHUoI0G;F( z?B7!%1ci~G-|uM(w~G8dg&kdbFk!(hSkHp$XFnZ0@5UX!@~r;xkJ%ac6 zJ)6n!#8dNtUz5+<@!kqXc|;kgHy?6j%VmK^@@YE^tzXB!m*yp}~OEohNDE@NmzNPtmuFq%UM}MSaAcem_pT`&o#Phr}%#S4x z)_fMaJWehNHj!(a=ef>7Id^hv9slSStgOc`P`EubyaIE3_A8bG*!3Y#HpLbw(Q-KR|9~YR zxy~YKQ|15wZ_2$v4(~iY%Rrv<14RyNmS_z0d&vaY(|+jowy(UW+bVxGpsYt=T`&mc z0bTW#cmW=jzgOSef~EJanVt`aGpMNC;ri@pMylz8>wS739|T{kCpA&LPFXqB8lYwhLgApQp#Ol-H{& z0c_N>a*zb#`TcR~DeE;u7K4y_dN=DMCIDbL%iO@2I{AZhyv?8U*_!b8D$m-R`_Dt3 z_x;!S101ugJ%#pVnCGUYKmh%Fm)3q*rTL5Hp9#uz$yZ8y{KG)L7mO|7woCW-_wqO^ z6o4nyhlZa~$pw$*9Y8#JrS8X32w*I^Z%BHp2){i z2?C3s8N!_~|Bg7TtP4PpZa&EX+x%!I47NFwZ}-ltaYig{W)}NhfC!V#KO@?Kkz(VJ ze%$6h`kANmdpD;A#QsI6#+~xY(XbhgOpf>I`A89PJ{Mp^A>AGkA3?8qvmE6dzw~)F zml*-)OJ`1qfYyf`e?9)ldI(G_%pl!J{~nRRqFZxoa0uk<{OOM#1V+GhGJT$(KPI2q zC`@?IME<2WIgh;^j>d0mUW0l$^F85Uamz#d7t=I@TK?La&)3!~Zkk0ck^9lLo&Dav zU_M*9Yx}R-a8b=8b;jHF^D5_H{z~;%n7h&u_R*Pz!x1($7LKKVo|n%<7J0`TN-F5b z=?Jcme;zWgcsK)Qu?N0&e{#d>;{sHFt>raf^vYy^``I2x7Z_fc+ z`8w%o9k~qo@^BfzGKhhF)lu28J! z>UTDlRZE=u(Bpmjv1C>A*v*YO<>3sC(PfuxPgp`lKGdDbEOFO%*7Nc6Ftz@BS+e=- z)=WRHAQdo6J(JJLSpj}j@<0LGC^LdypQE!Hl2NX|J(r)_O=QYn1PVxgp+94bw48Z^ z0`2^1&$m$W1_jvpcwP*0xYSV}>wAUQZz)efc{t)gI+*-9r1Z=~*B*;N9gp)&9WCFx>#(~* zuCBiflCHa%eni|l-XMxP-aBxG&VJ>w8}HbS{sahBcyRL)cU&LR`}aK zU)$?BH(^R>&-3RQr`N<<%^&xYN^YPWgCD(K855eSnaN7{iCfT2TDtV3dZ<7`?+^Wo zxa%9MmFsi3eG5niU9%Fq0t5Z2?{QtOhIqa*y&kD@?N=xTz|3fyb~^4bA+a z*V|uHsy{V8CddkO^E{pV_XHkPXyeL5KUR>sf6vlH^k(J>`}bJbE0lLVKmP>r)m@&m zY(Kh@x*rQ=g&yyDc)sL%VoNFj(DU!LWHn+%plIHr05Z=FZ{?AY_Txub4bm^y-ug3< zyFI?x)e!#j*ZQM}setp_x$BSlvLX@O^Y(ftWjw6a60{|9)`ySp&1h-0K2t!F0dbLPR%I=B3cmu(;6s9$=&)x8S_Zq)hdnGN#wJciT?AL_jN&51g<ANQ;ZjnDJ*U*lxCIG=*`ur{cG^3H_^ z_0#!Np3a{7jPnzm+u;73_-uo>a}rWN`f(3$&;adB=DpQ^}=p*J>xbXy+Q*L)_i_nPiN-->+zEXo>t$elLn{R zXPnnN>rhGNudV)eW{s!uSiVo~4^M6IxXq7aH9zztM}PD?G`l}t-H%UDtB-!NRf~Cl zUVoywn&D>U`p&y(PI2KR#&+>*$*`+`AoveUrPtayF#Q98?_t$rz z+D|Y@w;+pN4QwxInj1WmGuJfe`AqIVZ*AvUvhZ9U4_)5ofUC|-_bjzH1DXG2`cd&T zAj;2&&StCDUMKkmzvsM2+Y@}-%?NQpc_NclVoS^f-jK_by!3lcg zX?>jLS{wcCDbiU!^nRyhy!#Dq&zbcg*=0UKpt0?Fq-KA%#C+Ivn-7RVgFZLU>U{1| z&CtwpXI6QJ!UA4$<3C2Yp7&oi-PU-zm;HFZmv!0`tG*tLfwGhpEqDPwB?-(+B4SuRT?&6^*^l# zbITRh`u<+?)v+0TMQ(1*7x*?FV^jlb!O1^=tTL}NC?xYb1Wv*8_$%DPNw{Y6@w;kJ zSmtRr4dr>Ne-94mC|f2URel>UCQpM?@$>jAU5u9XqYWC#{Pf2eXa077BpVbB<8uRIx;XgjL?`MIJao(>(^_fo* zC_f+aiT-P2&Zn>Qy;DK^nYX{GKlAIjhv(-%UV5J2E7K0&f{{%Q4GPl!{Jx*|tmlF_ zp2*-fo*02+g9BPxb!L*#Y$3$JG6i^&R`s-=`nWGsla2*5-K5uQ|?BIaon? z3SPEoe(t&JaB0cYG#~5XM~`<^3Yq!RxMe*bIFB#^zxZd_uksiDSA*7b37oGJOhdBd z_B_5HH~R*+`e$41-!oo_P|Njycg~j{f7Q3=yH59G*#GGFf-o)JNFLD#Dxu9cNU6=o z8@E}i38+J9ev{Jz_o57U9UCodM5 zTk<~IMX7o$vwLml)j+|SGPAT(9~`!JET=;ntMkT$wDSu6$6)gA@1J1#=wkZo+Sbi? zZDjfh59{z2tNHoY=cIckj-avhcA`Cx{R9qe?Qp$I=c0Kw1n@A(oEj8#_HFC+wMKUf zEl*_4Qgk;o{`~ag3EiQtdn#+=sjNLGbT@?jlHdP0WZLz;_V@k%xB+%R*XNOghHmHT z#@o6FP!)8JiS4Fx%e6hBJ>4{LzucPnOgmI;4>_Nv&-GX3J4*;18nlzimf1}=mDqZo zUwKdT`grN}`bOAxXtnYhsyq9^!TCj5bO3J+`u7anc_LW5X{mDS9Dzlyr zB~fm;X@yeDoBNS&^L6gf`kegpqgUxr^5mv4oITMGEJ<%K5<+j!&80)hlZPGa^+ejE zZ*~4wR=f1B+=`dZ$EHQfl209y<%u8s3ZAdy4w(GiJMMrjlaHON_wtS;7(;n#KhNvm zNF=Lt$BnV&uho1)_Ws&iI&P3VlaHc=^vRv6PpoDKAmYlO^Sp%{DEpwF1HEG*WUgtc z_d1^Ulo7y1WiF#N3wo7-l>C(4JNC1`(lai)YUw`Fq#o zDo;~aeQRIs9f{T7wyy`mwVNB;^Zt1kizIn*X^$v9M+_m{Q-S+u7-S+n;(sA>c5B-V|vp*gt z-EJli{j4xtM3OS8&;EYAKf^fxTHXk$eaQE)KtyeQ=&UyAxQLuw`#8_fj}D^G7apkH85`aMlwkN%}2__jWezr%*r`g@*#J^T86Arkw1Bet>mm=?q$ z@H#FTBe&2?QsUVp6neZK15J|CS%pATYE$Au(+>pY^?G{5{@ z*%L0_apTBm6~cm_i8}jj>v^t!AKQ7biaRbO?V%s2)Q%fRas%w^_nZgofmG-g6r9Pw zKK39g^i}dztFIS!x+4NOx1>Hwg1%mag^mE=yj>O~?C1Ude65a$>>jvSjXy6t70bU$ zu|pQ?X)}<_en!k(((v{D#Q1lF&}E*4Y?KfAxHt8E9v|wC#FJUvM@U`IB=aaiqt_9Emu%J@87lMgMo32hi| ze{{fn<|PN5&!>I$feq~l+IxO}z$ZFxt$A4?W-mVu2)pO!kq!JEK%Mzx?OE{WQF?cP zcIMrQ2)<|JUqI+?`6=_q``Z>nIf7Sm2D~{iKf@KCm0N;s! z1efu9T+7Gr^|u+n*Q`8{QRE@tq1}(VZ6E+J*?|TE0Qd9!dKU8z~}u_ z-_bhHEqeS;Rv?Vuqx$^FCvIgRKrl^B`8^lKkFL+mmp5m{KmcK0^_K1AFFF~y2Jl`} zTLJKz=LxF7nw#@T9s>b~S#LWmb;%rt>6)8g^F4T2RACav2f_-U`s;X~ zpKtS4p){b!ESb!})B|eF_PqUY z;sM0WJQ9G+%&*t+eylzo_ONj04GDtf+MnfZ8q??J_1EK%``SQYRyrd_eIQf@G^#aMKiWHN4}{@>MzxIg7SxAcPXOkC z-(%0+8yQe$KnMFgJ|8Eo0XN9p+$SDqzzZ^4xdwE!x$|?rvpm+x3`(CN14_w^jWrqX@rleOKWJ|^n{H^`Bz-|x`ucTFN>CAWS5wcugk z&VAkMnV0#{x)=?pBU`S2Ja_2e2> zAI{z1+w?#XYaYkb-j#FSBgzzn>3N9fGn3_Ug@F6ckiOCm)TsoDmTkJiohBJA$MRgt z!#qsKdN3!X4Lq9tfYJ|)Q&!hYqmhGcG1@94f%6r0| z*X?+m`nIk%h%vW*u%^jcp9SG$D4tgn7@U%5^_VekZ#r(DKqv5qwBcJO>w(O5E@AVJ4S}UBE zsP-C2^!?FC$*rfojl^;CuAWAFmfUVnm#*ZdYcHdRP2l%&xxim=$XODlPCew-%-D$qA-*8bH)|&4YXS6r|XN?1b zD)*j=&9ExeNHJS2=V{45^9~Q1wGj&#sjQ8B)UK0iA$-ezrB^siv(~TPB(V<*>Noc$ z&f&CiLa+^=FQk`oTbJ-*H}G%Uw8(=A36bshL3gQd9;$T}w{BXgIdF4$!tr74QMk2| zfmiqtEt{9l-;q%7?gdlMGdZudZWqlmlXF42&VkQfD-$`PE0o)ppR8{$z@Fk`47kfAj4YazzouBWszsA=`B%4RE3FrWviY@EnNXFImJ;(H{aGqb*;{Y6zUaNlj*9w zx>8C{J)M<+YiQkn6J_M%1PNG4C2u!xiRFpY2FD*LlfOs{TmdsF?qcM0rQ5b<&ElOl zi|Tq)ZU7^adxmG-n#w)K9?vIe41kYhB<8JvDEdL|zi~;pRkaZbjV)?k4Q0z#ci!;h z?<0#dYXzG#Mg(}sHhAh=(;!SWZh!k6HjFK$#!=i)2pWRm2{-vO@nvo5x3Syp>u^Eo z*UJm}hUf2cHpIZoR%W{!G4R|L!}cpe);Vyt4G^)eBg0yY5OwakX^U&irwfbI$mV(O zZ4V;MoMW|(r|)vaEo`Z7NcndnEFCcyrcut9PUpkR^G;9xzD;)ttfy}DQC4vFbjQBo zfoiV`Q$83)RlCq|^k52->HGIizJE(zBDV|&Sdz|y^=_j8gZJHre zooJm^XJ*sIgZ4YN7Jox$jhm1-{wgW6?^?O=--KIG_5)1U)9dSEubcd$o4Vh z#_N|E?d79vt9h^OXP-$ZkdRrsZN~`e}0Wh>_7KV{i z9)i@4pIFAFkylrEx}52G9~WRiUJ6)^ftje^znU0MhAqU^_NzLf0k z)g66AKM!BVCJO^$lA}WC1{j4F8Jkf@QZ|>ugV_s%5IGGcIG_#iL?BZ{`nH}QUs{F7 zHk83nULi+N1K+Rw)TzEkZB3t}Wp<2fA$QvzLY)9KNEl zWIq5sK*GOzCTZM23EI40Qj{lNwof(56{B0-t@~vbLbX6gMQr*o=&$89Ch^ zhrRZSA?^1>Dm2*IxREFOJ*V^{hf{{cI4iA=8B@6IbMz3x-Oy@ZekJ1aSWVYhuDfM1 z7=`?<0a=r)xE}tzHNijo6tpHhdTj`i1cxHW&px#)=XY0oc{lARla?FIVtO1u!xA)k z5aU;*-{V!u#uWMRf?u`5q)3n(?b*)5sD4Ys9;QhEAFf8$Sf%#!H-d*uW!dX<|Jiqd z%Qt{(m(5pUT61s>dwUfZ)7fr$40_X6EX&Eqb-gudxgn#yk2l}WnC*spp(SrEU#?`Z zC~JekZ~@rJYTCVTZV&11A|gbgkDmH=v5xJfm9cE^Bct5B*WZR5a;)9()EiKoO@Np- z+m=I4S_D2mbk83g^)oeN!@hQwhVeVsjNX11C+R?y6*8cKcBFwoh(H&=Tt;)0aUmT> zyVk(AEArFPiwMU=s~HWi!7fKJYvVjJz>gB5iUEGK-<=X5esIGrT%12TX`mXcc8RUP zYInT=TFtIg4JNwInr(w1Gy#3C-wlGavs3O680DnbvH7jasxB>NgIP{8{j@=N64x2Z zgx?s9q{}20rqvGTI-M~_4zJu+ra9QB2{^yF6xyJjqER}PG=&%3eynZBlW}+Z*tb{| z^TDnk-*czh*KvAEa4oYDkj;oCfkG6BrGr zp-SQ)UBzll!(E+mhJZ#*roAT3v?=2&% zcfIrR=0b~cKHxO)7F_xB&`P&c5-<(YK`heC`_@=HqZ4!_BR!qAjs4nOlKWK~sTQ|H z+wy>2XuA1X?L9;dTT_5t;O~PYjWd~>-lny6iBKBY?pNT!>H(Bq?;>hUbpz5G+x=28 zjDG=`VMwiEBQqrNPLA^+$epfk2E?Gw*rAPlbTje&7WM~|)(x0J>Oa0ebH)bZG_Y@W z_yMP3-aAZlWL@8lz-iD}{P_HEiNd}>LJ}&<;w#*it%y) zD~RS2Uq|w#39kmE;MZFF`gYwR7uDYGSJ~}z`^Zba+1uym^JH>g6WA$Kx>nl>MHYwV zFbWENMBjARIwuz)==`~Y5S!sf0%;P47T91REtnadlkk~O^bcH{+w~xitJ+Wy8jX5z}EBO z&rK4peYq~_5=^7l5I>?pvnfaXi1@c{CIpZ)`@P$OLI4SO$KW`8;x)GeMJAY86|iFK z6(J$1HrRE?p)Y@W@ogG?T#Q5{0@-!9GZg_NWUzdER5!$07$q~#yWTYUX^7?a5ou*m9O%_T4=7YJ_-2>Bqt=IZWC2Rz4h72hhXY*noQb2)A> z!7eU0JIO4>gR`XCe4f^izn_#*uE9hranQb|6lS`DHkf2}mo_O10U$i%+u`%h&;57C zUP8vU*1=+{p|rkk>0vBbvh}#6nsU5Zs=p*b!em>t$c)U63JnI_weDsZOs7C4K?4M_ zjvAAjMr^dfpRa!ehUgc!I=MqV=xQS|)s}H)XWARwk0t@k%+~*ACd=PFa$vLM;xH|)0WGX@C3Z7X-s5tX?8#t23)(b%*qM{b z*sw72Xda@g;> zc(n%mqZ&~6m~L)cfAK?st>ZJXHnMARAD zKuP4vv5aj#X%m}8(d;yTHnIfMbSz~}l(Gq#;AGyhQv&8V3C1Qhz#K=Zf)~s;wcAHJPcSP*v&?RH z0j}(a&|rF7Ix_6rBjaU~FfSxJnAp(kDW zfpxqjH1O>ZLyemO>R5V5V@Uhwfu}s(4BD71X7hPho*O6K&W3qj0O^=gshPyv{+-OF zJxdv`K1NEhVuqXsB;zznTOP3Zxf{KtYBcR^+x6$x5aU+BF0L9?{_a`I2HQewEauyq zDnvRo-N+^DDNjOJof5k;BU9+V8-R`_+}o<&O7afIY2R)xew%%)ZN}F|Ph0Q|6B1x1 z(z-UvwKg23?v}gFZ};uvVv-uHMzZYL!rh~~Lfm#BtVVjjkoH4@=hK!m|F^!3a-9%c zcGZV=48v$dE^YG0CZfCRzBaRHOB8|y$;DUe7d2lvqOIyxbv|(6UELsuaCNaP+rBU; zN&B~~vgHlq=Kt=_F4f!P2yNvE8zr3^`>>A-IVL{BdZat9)r3=Sram5*j920BO|MUm zw{q;rL8U1Q41zPscYISbj{pGhepp@gQza=_t&vrYRz|q4j*)v_?ppI z1eiuU7Vod}{i$_s-Z~$>q^B_rVn^y59bY&aI&$Bv{JrMc`D3K?z(2Nhg!{&@%14;YyESgO1BNNg zI#TPj5al`$k5`ZN{n6nv!`l5g+8jn`7nUELM;0M0>}u zzQO-lhHF~}du0v5N4svGUpv)re_Tbt=$gU1J3x@HD!H4El#k;O>eW5YOv7#%D?aWR z3urdm2`1Emio8NQ@!fOX=0GagAC84yoA?Mj0!$U@+xc{Io$QDuklDsw?IZa%cfcWY zsWzK2#0Izx!RkVs9*zIaK1GNrU6y)PYGj#C3^2ukYV2!J(TEe+^DwDXcyHEg+$4GM z7aNr|ea!W{p9`m3eNfO!`*w_$f}LZ$-Ee1eTCd0b=BD-SbU*glx3lEDRB}7s zgyYgsOx$a48|^Cc&Bu?7pXR+{s3kHh*{*L_^I;3bz-764x{+Nf&mXHJ%r!3P_Hza^ z@6bB(IJ2erK)-e%zv`HP?x{nis6n)))({*inZ&;I?JMaHs(lKYvJnS=M+&L4ZuR@P z^3~oxvFZ4=;{p$^bG^lN+U_C!DzcV-U*W-r*8#60{{d@EcloJVPoZqOSoj8L!j|Js zWcVeET8~aTA)0kS+(=(&I}&gsomZk^GtghxF%2`JDpO*SC?$RGfr`|Kf zt-*Wjb_WS?9$S{#ZS)C0HmhvvxaJI*hx{+ZnchR{;I8aK5`w^Mg9h~t#Sl9rps)dJ zstm(2Ob%Kaj9*;+jHz`Ea)VxXjU%&M1HNn*TMRi@x*ZbG&`^)Y>fkmxT|_bjj&gTR z&v{=AP=i*Ceypl9gKOH$=Q!!^+|74)0}o-eM(ztXEhQPNtwyV zkKd?%*4E)-$2s=+@Nb)1tpnVXI^@<#yA)=ogAOoH$$&O?0P}49GN3Ul&lK`*Br=kp za3}2oI~zaUt!uHeWqu@;9xNTuo&s&Mvv^#iIR|b_iXJwv!_U@b5}V;&UJhoL^CLHj z83j_+o+zLQYOQAhXAVN971W=k=N1LmY@`C6$@d8zXT=M|v&)PEPO&wd1#DQquUtn5 z6=>F@j%vGc|DvUoSNE+{?twch)iT8ONd@B$uN6=>8ny{pQ18BD!MxJbRD|%4-pvNz zAs6{#Ri1pPzyo=tUKrfpy3Ew@{A49KMlV?jdgbq~Q9}CxpCRKjOxXsQAv ziD_KMGy?4&74RITvW@FzKQ7Z9-kkDBv5kt0wlt7ddvmWf4&83o`^&xtGXr0@-XKMg z)J?`<;X+yEn6`{gp*I~#f23@;#fAH;Po%xAR5`L6cic%^cz^e;2u0`>t!qp3$P;#N zx7U~#V@CpST`Wz+N1P9vZtE7;(tTZ@JFca2C?2F;X=mD4gAbA2Y8uHU3USZKu8Vpn zIjpBx1=2xS))jf<6mjztZV&8faaS&r=n+A5V+#ydMB`*re1s6=axs8J78_?L_JJ^| z&Clmu>1`fSh9n~QP}=~fd1oo50a-+g#MldhgyfcFj}I3C?M?|lN*z?TV9k$G_ILaG z4Ewxo4+G3NcY7jgXv&&Ndgy*V`M6tJIa2U=mtUs!b-Jqp8?!u%JL_JuaBCJZ8S&k~4F(n#V*N$sFO*z$(DV$;( z4;^@CmJ`h#aKO|oqB{eb!|e{zu-*p}M@cP;B{a+*Q?DE8Q458YO}`ePapM;{)E=)=i?s2v8;8?hrP2k&Cjy2 ztZ&U-Zw5!UHQzke*zYi*y2vzt11_ZYYqwbmZxy>L8fwXuLCc<=;Wp0NaG3mJ{STxq zcln640$ogkH58Mgn}Kz8hReH=h)?B6Y-`QBQ4-dbX0g_v$Lq*YM|ff1{MkQ0ICh8GG%+!xdyY;q z)DhQ$8X4+yy}taC)vdK>`^0q{tdl`f4VA?28qMhHe)y1w4VA>@K_hz#=r#&!>Hcgc@GZ`Y6VQ^#)ta3V6q5~@2V)GUTrqU{9{!VpW=4N5Y|l6m8946!6l zD*#Kh27i3r2WI}PdIr<_?t-%Tre834lKB^TsMF!gDbis;5v-sIn-eI4wVZ!ece_0~ zMpri^@%h$V=;h;Gdgx;PY&+}JY$WircXtRbwkZN%djdEHtm<_mw zt~>j1?$kcEDS&h54V)VA?etpjRG5%!HqXC zJ|5ir*w?zdMwtXKYPi5{{yyALZo&!SO(;p(*G3#;%f2>-Yzv#M{UoD3-3iFBOKR#G z^f=O3+sCF~Bs6c6eiZdzb@O@O8Wsm;U?oKdnUO9LnE!~OkGMlWX?KM&*F}Q|(O5tR zHI$6&*=V2`0t7G?120Zj92TRauam!r?#@m!WT0B|(j@IZP3G4#EajBkgwZ?rKGq(d zW21%b!Y&V^$tVa7L^aw~4(8Q1TIf%PF(PE0Qe3MI2fQ1FCuGai(oS8mb-=w*${t%; z4O%(svG}tGFPnfhpeLO-!eq3OF2uupA%FK6Z^JLRopm2)awdYn74mu+4Y)eW{@JbT zQ&*Y6%61F8u+7xYII{yfR}Q?zRgQi|GdnxXp-*cXJ?S^T#RkR!PT(tq&jFF-Cb<|; zj7mZ=25!j7V!0S7s6Mqr`MF*q^v0_1Eig>c`tDw)B!Y(yt8BOw%#r9r7#7DQ4nr29 z&%CvCMj(~_I{hkaS3E-&srRN~&?0UbBt3L5;^yyh`BhJ*qh4&*hrp{}C>91Zqf?B~ znzMHJbldykFizeC&1jjS=lE!kyE8G?T-i7;jXzJ1Ff;+F@8u4!HdIL1YpbGF8_Ino z;8fowY*`BC|P3Q`=v193I3J$=Fu zIgISdoo66_j;v0`r+`C|ByIpv>?Fm`U-8RtH8Ntq4}b2Gv@D8aTrV#Q5lF97uZPnB zGR2V^(%%0zXS*Sf172Vwoqtm~5M4@!TbN9;wmX4c(ItM7c56CE3XWo3i>?^Gb-43H zvjjYxIlHML0gwCg^Y<7_TUYQLyNEd-ITeb`H4RrXEre#>t<+>tXEWeRCX+F1Z^YKb zOxb9);+7KYd{fYpdB+bpnq8Rn0Y|fT;&wi!OgQm#AYIsb0;G$5Jyr&wE)>Ddk%{w) za*RP_^DwragzvqX69?SU)N@XRaMh#?7y!3WSGW*{jsQJ=9n|bdm?N%@9I5X(T6tiH z@3={F#cjkIKfgu&+U8 z0HecIvDVV9b!ks)jtXh-VUN!pzOeCu?jnmJS9 z0C=_BZ8txZV}S;+t7Qj=m2*Iwt`pVvpaXh1}!`er>n{l@(SYC21?2j@t#*VkuBBs=Y-R0)pW9tk^BQxA0 z#=0&!B#-l4TXhR&!=x8kimdf-!{XlWDg-Qv)ZQkBtRAibqCHY`+K~dFl9oE&SC;+& zR3g5^+3&}1v3z?Jzc91sqefVS4eRjWtijF<53}I~3}_|7J>X&+e)KlgzvLf4H4a=o z6=Y<$$Mqx;90q3+-ju`OOym<}q%5fBvNHf~A}9(jf#Xrb#uJyH)E3%4V3%=Jr)_l8 zQER*cW}0=qLk3(kWhk*5ID9ilVxjP+l;43k_^Dx>TVQ9*UyG27V&rr-4JJN+?wo5f;si1`Z{iiV)d?g3eH^npf8m+1`Ez&@ zux;-3Wr4}l!u8v2n!_8hD&OF}TQ}y(ivRgrzOLG~hOUt&VEz;;q@dV|0C{Pyrd1b- z;5Iw5r)%u61!wtHcPZ>fHpx^LL@`UwZa&Lzr7Qd=hi8P}2{omnoVHb6dmD=_ zZ!K#f4uFYx>n(5UVf0F&zq9_;@>>16K8*?|N~^mjIQj|2ple|G@RIVZSUYP3MM9pM zPz;vzc5@iBVT%-s!G2?3C)^w_SD5f}l)C6xQ(BH8n9L*>vd63!nPypIU`D4#eAp;- zNkw3PvwGmH3B1#_h+enwzOY~H=WoTYJfZ|q^xX!CW4W8#GJ{r7QM=7vpC0sLTLfA_ zi3|Mr%qhYrl!7OC<%AEVR7cyMUM+4^$7uJ}w&Q!652fr)_O%tV;+i?!IiB3Q_M;Sx(ZSbmOEV@s!w1HKAbS_0hDkvqhMK>6T{m zFa=I~3lzD*p3Rzhv?&~AbZJJre{tj6;etO|Ibm+46PbvucIQaz`4rNOY5YFY{W|P; z|1J)3w{7;dRULiDzP8+9-mnNJJWlU=Z{HChyPRHL;RnvjcXB|TEih9Cd%8mqs`mPh zP}$1go68F%!}*a--@}!i#Lua-&AfiJ1F5BD>MLm`uxHH*+@UE#vxrj zl*GP_>m_C1VwIf`p{6YlB}9V6#@fTh4pyBBEwH?hj*-R9ZiBQhMv>hiU-%|FWBR=@G;3>f@nvult~0(Jwx&tHjtd_xKX1;sDb`h;eZJqY99Fk9 z<&&T5jzu*%t{x(3n!E|Uyj%xt8(I=V$q_ayLj4x3<%HL=hOY2=_xbB4#F*+{+HfOv zp=m!G%ITr}rU#nP-OIMcX`U^tJNC8dxB`o<@xUv)P)w-q=e5mF%UZb7ZkWy%+O)|K&SasDgM|lLN*m2RrKWFryt*a(+3_?8^_En&D=95oW3=f z)|l9Ghl4l5an?Q#C4yieNV}7w*~dP5JX1R}lK32s`e31Ab40L?;m3cp3q!mmj@83Z zU|qvGeo}4IuNBtP<;G&OVNL+fyVl8S+rO-jnB&Q9G0k4I66qR)!-uCI>PG4EYx=G^ zPF6O|aRM{gUOgUC-MGBZa`TOyiw0B9<%4De0l;IemeHyWtGoD?K@U6D`b48`=dBOM89q(wzy$H zQMjzJcvwty>oTSbi;2fFf;Jy?I(J%Ym6Z|Z{bi&}c2t7wGg1t~+{{Sw9Z$wbp#N&} z<0tKStOhVYp%9aUm7N!sVn7!YBi)&E{`m8W(+s2~cyDo5p5oHFHO=r@6(D3ED>*sY zgmO)S-!d}vkj68hYb&}sEEYJrhl#l6O>8Z`wXk-t9a7AG`;as*=4Sd1k$1E6T-#B7Wj z84ZQo*=!WLJB^yZ?X;YPcjE(UR(r>eLF7%SvV+*~V>oAKbz>!mylGC)y3^b1Q!!T6 zE~3yf-t2S}F3!mXdLBzdlth5zsXVw93{O@u14dhxzvVLJjH`By|->ob_)~mKC^>gKu4bcLY zs({g~ldgU>$I}J%tL)JBFg)0J*4YS+E_q8MG-iUTUjR#WNC|7$h+sa_p{=bX{rMBR zy`VzNuutz2UB3_jI?17fYjf`R5#QO(hV+C1uaNeu_|Iy`Szxnmo;K^}NX6#%yx@x~ za2;&71!r6-ExI?SK>LDEw)!1h7hAb$61EYg~+S z5MC}MD5d2#0|nMXc0X;OX1_afqVd}W=h>^`UQklkYmi+fkdIBhyGnH@{!P*W&X!EKb{{o`Ij`ME8)As6DSLuFN zv)KcJg2Q+ksi^S5XLV6q>_k_tE?Jir@DzA<9+FqNIz?X=Q+nX>OxCvj^!wTHkD8wz zk?7&r=zkkqjzZl!2`Kz|Sx$+d9OFoao*<*Ly*?QhrW^wcXb8-%V8`c2FJ{Jbo&=!X z(j~y#gsv=gEFkT2BsPED4)$%k7w`%W3TyS7URe^6HE_qhQgl8B;P9;GSnWH^_gtyl zjnbQI&k{&oz4I#D7bAZ@0pVjKe=-u~0x)lrZ@zu))BxMJ%5YsL(=_&Qk$N|`5k$x9 z&#~Z+EzzU#bM8{Xw&4Uk(hKo@mzyzDhSW=H85x$NX=LTn$32S$2)Y>eaH+rUf~-;Q zmSncP1>@0m%3VP6l@i((bd^yYftvPv32!%&9z=mig~ zB>lnX$|TF69U{->ca>l%+~!NrrFwiRd%Gg&7CfEy{TPxHNoMOtj)WMu;6LQ>9nx061IQ zm!gsE2C(2X#L791<|HJRWg87%Lhevt6@-`2*6(3CGnofoLejT3(%ENeEqCKy91Y}Y zDHj-X0S``0%(RTlvmX8aRaxJ3S!9cjY%A;#;@M?LwDx(Fs2TRwdeW{hM1%{?*AAx@ zg6g)9uegUc{+tsPePnog8WUq4B)M4G$B}Ylrn%m~l=to<-S@`Ab3VEY&4-QI!x7|2 zPB;88i1&zN0^&!WRHXFOug@hbW`xIby7aT z1u#8V_YR{S#+*mn{?%{{Z$`U=piL97_B@%wF?u??!KHiwT`#f!9qKUCZ!UA;(nKwz zbK3I-kFI%phB$n;i5lry{3hRB9@SJ?H)b_mB7nB1NwwcExcuPH9&A9V^ShbL?ULft zuEW(8{CTERdMlf>^n?qT05>D+0wzF7yl97e58rN%U^Z;faLOgo3y1;NU3VdYldwOH z^X%*GGx&J(L!8nQ9M`B1AaB@_wr_Fdm|;>7uHW)?J+bXf;1PJ}p;bSWwSt!;VD;%h zG2v*3m5I0AJt8oYKZjUr0twI!JTBkb=7BZC*aY0>bi=f!O$X&7mxdReT>Y)77GI^T zGWPK~A0A9}1nqQtV5KDC3n`&wS+TaR>UT3f+d|4DJ)BFJthB?Bt+ze;P;K2FGQ_2B z0OXuTR=1za+uo0~4*$M%Tmgu|wRraJ?HF{X)muC8%R3u$e%aKxfXtx7&^RU#1B*Im zf*v3PlSE9!K)IpVDzLNqdP6KISly?VbQl0^;?K{M$Ng+H0q-Ee!WKC+s_DQ1UV|<# zcB!_ES6pUxMLbWG=>q(Mn4WD`OX0fW_%s!&o8o=7TWrw^2@^*XXGXjwhb z**@1o1}}Vm=w|pcN-px4wY7x-J{$Ec}rpe9df_y9d)#Wnjr^Yuf(Dg7oTL z2bQ0sITC*6Y%pu z!_WEyXc>0DlFraB%M#oQcGE^{?f|m2(SqJqeiNKZ$?f14Tk6BJA@0`#F~8G%EZjpw-&|k&rK2q`Hh)7yd}f@h`&X_n@P>l8c@E)Y1;dr}>P!hU zqc!J3IqT=`?qU2qJX3V-x8_xM5->gB&cG4Ynm~6pZQTY^gyZ*GeXzdW7}IUg5GB1I ze87aM4QL3B9!VJm`m(Wao-OldooOBmvHw@sm4T$b8!DDL4jx{-P8UVXMD z9y1)YY3=^xk1dt7Rc-PIQH3U7?_ra-f%3bK8s4Y-YVudVVR8;f0Aw7}*wN#*d^kfh z9rcFyvLw)-%`!4f?lkH{{Lu86`{!+mKpEQljfr89KXhS1^ zl||dqlPL^_-#S7mHD`$pNR9*rvCSQOq_N$8I&5yx9T7m)8fRAh-&9S1yx|^x{fald!zpcXC?!t#%g{_X zs-O*)+u;m^a3km0HBW7%Je!HL!&iJuJQzlYK9KAP&f}h}s~hcdxCzp`g(IEm$~OQr zx=gJ`9*G~7^_QP=J>rVA0jE*!oqk&qw30{}@=VU%0M}?Y>~b4i@bzok$blwKO!6l5 zwWh*pL*6Y`U3K*wHzyq3^)o+Lm&^Q}_3b~2v0Ku!>lV8k@u!2j4u|$}=t6}6p#pc# zG%BP4<7t5Xa5PJ{J+?Xzp~kI_doF)ozSk#zPI%VaQkV$_%{n%!ClPO?J+(wJYB(T^ z?R>c0>+m$L1E>3bRmj^=J>+z6B-nMDQfz%1y$mpGw;M-oBAU6`b9dP8Ytto0a{=G* ztJiJF^gz3r-ty{Vb~7wXshRARRsEjKHr07zAl|3tWjBo%`&s$G@pFRHoWA8Q(+U> zuRmWgvIh&XeF(RCS8E(r5J0HLzu`E)?{e*)dDwJ>8|l#6JsiyYTUdIT}T_PG7pA}e zy`ahvW*r#eG0z8Z9d`qe)0fZmagkf?aY)m0y0Q<>b|c?5T*TWA9@>C+Q8b`&G5Cnf z<(ofmzphPd+w@Bd?^AFQuL;+6yN|eUy-qJH|N3Jj*uaKy1BrcY9S?D}y278;pq@6M zVWfGSPIDhNlOlkkEm7M9UqHv`CTz9u?pR9v+Lp3ekcBKl-_I2HcxA|yuAdZnc zq@iQ4cfE{@S-wVUsnoNcVaMQ147!tH?_Hy-0j zV_)AY%+oj?5M=huJv{x7Azf_XvlK^vGQM?N#(gvh856ZRQ-b)v!_b~unzoyMX#n)8YCR}c7Fbm|i3|a!=ZT#KSaGK}% zUXe<}!0A8Q4YZZ-n^@49|98WHc}-g%31jfQQpEBgQ0fV;1=EIkPX|`EFU9tzWDEP` z-4P2XzPxxjg~#Ld8owQP`q}uq?+8lyFlY81p0;~OglM;cg+a1j*Vzq&r1F#gNOxzn zwxf1{bgXaEUv1z{4Wx+>q6k?!JR|rdSFvF4$(|(lX(q z+HnmSo%JPS>_&dDdfB>JC{qU1y*-+(*=F4CzejGc>vfp6Z?#`mrtEOZvp}AY4#{s= zQ(Az%n6h@e6W(D@B3mj2M;IwJ4K`5yr)lWMs$is)1%xl5rp)H*NPByFh{xowfmdM% zy_pc@L1i6{jsD}?#~W_lf_*^ZxBa|IK5JoN)TZXs4)nLUT2`b)<_s@4o_4$J!{XR= z!L{0Vbz6^7fy`tN-+gNvaZ9GaSwUJYr`iJ+Lm7VT*CTFd4z}Cuh1wT33NS1rZ4m5* zx|ng7o$xK?&n~(dROLoAhC~8ex`@W`MDNq+65$r4BX1(fks)+8pyK5eXD5M0Z=HA3Go`bq1qh7y4bF1cf*`W|E^*~c?>dI@qxz*JkKahyBqdGMTObCo*K#D zE8idP5@OsR2Ev)TS0nkfJ#AV)>BfxKtXq1-4fCMx0H$L!bD*v`Mt7wvu(b9c>5v*W zGq49rATXT_41(8_@*^XV+%^mBgH?v*%J;X>vw!;9`IBV76X9~UTg+G}#7E8yPWUT? z!&=xC*KVyD4$jBhrv-7yIAF~KaDyZSer^d-h=VujL`}*v$jI1})r;T+5Tq@hXd_$QU1W5L#73pl*x^Qv!Hk@@O0BpYQaXW`? zTW(aQY64LA$&R=Ib=)p>4Jy-6yFLHprTOJ)RDa zbtC#jBBj-BK7Uea*z2eMDVc08G4QB>QBsXNq*qc9S@?-+q}T~~U~ZIO*CD;N)yzTr`~t_N*vDi#AQ0pEF;ytk2HQw!BTW%|08-y0 z&hP+jNatte(~jo!v#JBg#k9HyhDYCZ#b}RLYu3=__qSr-YMvO)bY#bDiBfP|ZI&Xq z-%;yYdz%v&4hfA!*PWmFD%Chc&o6Q^ zsc#<7yEsy?1l}ve`FRYPDFP3Wn2P6iv2hR0qS@vS!gX9%!{4_@c$hu<{5(d!HJegcKzv+RUu>Mk4_szR*G=&jG+#Hw*C3M@Y9Z%`X6?8`O zIXnpd*=biEzbI|K>+HiIf{(@iq}6LCK|$7Sqo;>wSyNyEl(cB0hTtC=*=%3l=pUF< z4#4zBAte9Q-q$> zaA`l5H`KEeTW!aYdTdmVq7u#Ga1c5ogMqz#mIv8bFQ~0Xk`?r^Mj|RM7Q}|MpFBTV z;I~V2F*ykSVE6^e66R!U3zCw$sJD%7(khy_LpI)g3=VioV|Yc z2&&A_sKmFYxwE2&$LB^lrpSx=fr8gfEwOTk6Q!bHkF zup(iqn%Rc@S?zo>!}h%=AH<1h4{}s`b~-*VWV-{F4N31x`&T$-edMNecLO%2R|BHO zoRE*%u~!_tuww5tz9UkQ*fNG0TO7aJ+oQ{8vasbNPIW#WsDOvHuY9dJmcI2Kv@moh zhFoX9iXIrU1yINtm;wL5w#@Jhv^|9=6geGQf*pw_u5ZVW8 z`X$5aS}SR753|26KixFkheaD^rLD=_6try~QaqjjFtc zaDlecv_OA$q`@#P8>Tg*xInA#A|Z?FCcSti`yE#9m_`)9V43c}-<4vJ=$73!h1`KD zT8FVwy6BrS|G*A?k#rC2&`K0&GDmYfa7%&tk&YQ;PQIr#Pk=Gmw&vzsTkoxHk9@L* z!C~dsFY|2y>wB6FOfMcdYPDTg*kg@B5O9-E7)(*ODWI&CJ2G5dy!3G8>s#n*2V6rZr2%Ham*L0@dq$mL+c9oZkwO}m| zUgeTq+i~Do;i1v_XK5i$+o1=w+P32W4}Kr6@#M&?eY+l%%VN6`*_{3lK;CqHZTx+^ z2G1@eFkwp$Z#K=R1e%i#FEX!5jJMAPK*Ht*Iw5@6Y{3TI@3{xyHespR=U|eS(a9vp zev_dY*RgCK(pfB{9YD!Eh`w7Zvr2gNIa%}pB3YNk*SIAN$VHwb#ub;(%LALmP$LMY<$oBCbdwyLK?;Db3TP&0aEo(p`ih;FM^AkDocxH!NEW1`?<3J~Cf$-rW>G~9{08`m5qTR;y? z(Pvyf2RJYegPldAx|-h{BtF_b7J9Xh)c~a6+miCldU6a5j11Q(x5b#V&#@dOcYT;$ zTURNot9dN{U_V><`Pn&$+|Wu*V8@3cg~|QEb^?&X#C9fW+!JOPx(~3yTkw);3 zkt>G`9Yg4H>ymwc-IL$w?KT*@CIPWaPL(99Ovz?_JwWjCh*0|+n6%O{b2zvAYE3Tk zNESTaliU*NtU9!fL4%;NJARM)HF+3u%iX zkHYoHJjk0s#%2)P2Z78zaePE7%R!9fNk+nhsALB)GqStoq7SRRyD7!c)s6)oUx>K_ zi+xK%6fO4mw1dTdCCU-~%`@d73fUzxBg1%VtY?jpg3gX*Do9l9w#A2UigH%wZYJj5 zeAax#Zaj|trdO{cGw^Qd0w03fx%wEb*8q2NxnH)pH;9k2KYe`v8U*@=a1XdnsEv< z!uN4^vsvMFDX>NLZN4;EXZqH+);QdS`Gg!;=-v8OjP@8HbGtpT$R{AdV==?mrSQN4 z@6mLa$nBoAw!9JL+q7h?Hf$e(HroodxLrnHTWuC>C$|v(zCBFS_z2Q>A8EO)x$uSk zQM+i}+s&O8$roWb&q^3e=q>ru`rn3J_IhQ79$wD10z>*t7e83i)A_p%-DU^d-aULZ zx{<}fMl6{9Y&Y0x^aEDFR{gdOt>8l&uRfAT(LpS*^qV&Ehy~V}#LjgON}7B-HkAqX zu*^YFJFYN5b0{Teb)<ItxZJZXnVjIR ztU(D@fDbHPc1vLe`%jvP{mY3e4^pjHS#YfRJCM+=GTd<@-uzhn@4gHH#(jsoHPQoJ zsD|1ng*hKH)~_^);es>l!i3n~l~-KA;Y`sE>}3swK~5excJjiQueO=kW6+8e#D1j9 zU%v~f&BP4Y?%hnWj9%`mWS=`Bz1nGqIN@`ZwWkQ4fOSE=NpZ8<6j@mCygj$P?AL$y zz)&v{$$o|vO(JA5+WDX<7Gb7WxS?@%i{q7u*;(Muyaq~qPGm=;A?>shr~&-l!-079 zf+^oK))?7!0**;~Y96~CQb157-!+vS027-8T>JUsB#VYxo2P5}w^@ay|E>`;?8`~i zUPk_w%h?~*(C2#7bG>Z$Ms1v-?It~{ z#0{BI?u=IbUdccFoX|W_zNe}DUWrfSJscbe#J`DW8BapI?!4x`#5A z-|#S7v+07yAy9nbqhJO07+a~l(ea7yh}UPaP2DqMtE1hmc!Q(eTZDMAQIUVle9ciX z+~lqq1CHH|LPJ65s*7F;OQPt*r6_RUuVhHjFl1xU9*ZzU2b49t;kI&<+dg`_U1cv0 zMA*M~(Gw{T&PT3afW@%mt3?4nfeWt;D1$>0$tJuX4pY6=iX~SE6Z=2fQ8|uU9jJDu zEJQ(dSXv7!K*`8H(I^NH^{#i^lx}erDDXhkGdQQ)HDTRogj^}GgX9UvBWoryl_(WS z;|m63t_#d$$@G+5))UKKl9n>klU!GI&;fGCMbd;Y_+#o`6nLt)vq-z^?qmdgxmp|?3Ow!l zQX7X`^PB1zt~Q)}W5~#^<%sMP0yUZ(RlDr7RXj$dEsj>tU!G`7I6Ez zI)Vy^4jC$>!}5Yir!n=0#(Hm(BcTw2b}wp<3v*a#@>zmt+nPAH<*l%OnDHA0o*Pzm z6lX`~p^k#?CluRM!gc%T0XK+?m5&Rk&s96j`8S&cyW9OAuOY3H5`bz`A3Kh zYIbv(ajQnh?dV%C+{`F!L>s|~2MZ#4gnI``D&*(E2l|S*Nz&Un_qJsO)wGZhcv=G& zlG{^_7!KlbxN3&mFAtgGfILqV1&40PbiRweu${+L7EFifrQ8GUw@id=<8KL3nB{K#lpJ^ZQk_-L4n6VigOuE|v5=I;dU6pVCASOC zHZp*sU0OAV1#y;ASEe)ivp%AhpDI!s|9A>P>9l$}Gy92PP zd8jRQbw1pHe5ysqQ((su;yT`*1V)zt*gfQjagIvdfIEIFhioB0u3^+DrYikfD|M8>|X) zdExnF0e>1k9yYKol(aoyTo{?2H|H9gwSJG<1={-d`z0C4H1d+9*^KK;$fXJ;yat>L z1u=AN6}3UoyVtbXp?8-tYV+9Ko&jBK6}tDD+kHkT-|Q0>3b*p{e*%)XP?AD4oK_0C zJ>%UZjOiV1GF_5Sk!QtbN05<7R^mh2VSo;W9!p9j_G4W`3|mzyGtQbtt&MalK_8wZ zD`>N|v32kv#g8ODp8p0`Idflo0E&=w_(m}t!>g20XtUso_$qL(28+e}3WkecI{HjE zoz4d+ru*C_v zZ+LPosoyOAOG2N~$^#rPY)A6fNqVm01QisEH%Xkj81!7Qf?}Gns1N%*U$)EDXxRqE zz`NVgAwA>zURe3QWVMQId#un?GW)?JjvVlR{~ zW2(gQb9t101rCR`Stsn)+JJncg#(S9q+fyOmYJdh4T)1)+V<_{PaF?d-~;^^i-wH| zP34%8`bPOID%)5c+;~nE)XD1b~a&n1gq9h!0>Dh!|<%MT@UQQl46@bmLMQ9o*Te{ zl$M8NgwL?aGa|Rh2N6HB(;7$o%#9QL=x|5bYP0#D%rpvsmewtVXPTUx8nieP}|1=9}-NjPoEp;)`0q(jux;E36sP>q-qpIF4}TL@!^ICKi4L z@;~1^vRnD(o;UCV#cZ&GQiB2Lh33I_Q8L{1Yn%95026s*=0G1$wkS>p;7A<|k(|)ikFTO_MGd1@_D8YA}9wgvOX8RzczeuyD$jsL>3MGchyRJpG*LEC{yF zJ!PRbVpgQ@Vr0u_iww>x=%Eu~GpFYSCc8s?jk>xx7&AcB^~4GfO76qvqPL`01BtX| zYrvOhLODe*thng2A1nB}TJ>%HeSslS5ElZHk?cZ0heE390Y4D6j1Vk0(jje@Sn>w) zKntXiah>$Y9s~uJSw)cBC8u<|10+*uv0$0?6bx63NSFgc<4!i`0*Ju>@RD2c0_DG^*=bOT&4D1v1akx`81M>P#OshwdT*{@%@LNfDzo~Fmd-ou3U0q=L zb^KwD1)?01I<54`SgN(xJ(J;3onyHjZm?AW!>aQcfk9irrhH;n&)&**PQ^5?t>695 z&VAfx>|=Ed_vPzRQM!W{3^F9cYaB@k>5)-IOb-D+=}yoC)L2)@bE67IZg>bKSv$xze!(+hWVN>>Cp!(PwxT0D9e&5v;oE1$X?><{0fN zc`5shK=$IA89i)=T-)Pb0@Cxp(N)bZ}!A`6B2a%Uj{_RF0&;ONH% z7k*)s5T04Z>n81KF?M{09Ty)fPM?gcK8 z&7xOa?Zyo|fB~e-FW>kWz56Ta2}h371h3{7MRp6wJuR=948{X;JvVUj2BoA{Z_&@v>gU( zexobont( z`(%Nsu%rw9v=n^FajyWXRQDy(x?f9oHFuacSmTKc8n+g#kDl?6jX1$|^oCz`7w2=i zlAM={^$UPdRw)tg5b(sW$+f4PNM20|8ou&UpH0#yoS^tZ zKiTk7;J=>y5Q`H)k|t^> z65NB``fGDNlNlzf;XNepuWEn~HlvH*yz#tV!FE+MhaZ>JJ?{)wyQGfPt>KDC8nCM2 zKIF?s#T``ecANBaRa4a~+ogW?>*gfljlJRyx;z9QWPsLl%T;r`m9V2n+(u5_QMJSb zfdvJnT_nKMXuJgbIb0i&RXl0i>6;;MnmpujWm&Hs`zk}fKMB2Mxuue~@>MHKXu z6cP0B{6H4-jgqAmz4c0U2b;+;!&SKSq;~mAngbCo6?8Xvd57Uv@YCJDuq5){={sWa zRJhh&-Rpyk0rzDApQ&Mi)$R{O7DTQF+?ID9p35M-20v^UC#tubcUuJr*h+SsiW~Jz zYLki!vzRBzd$ZwJkzwHiXrX{Pv0@J3M3eO6)c`hUr~unj)~^>t00 z%TPCFN!$>Za2KF7!Xp6GrV11wKyHUyc}bV>id(t-;Fs!rqMx94cPJ2Ar7L{0FTy40 z>WVCWGR$I270k@!k+H!YJX!Dwjy=gg6&}|P48x5Quy8)hKsor`lfJ?UTf^xES2w^Z z0?>h8VKY4lq^nNXg;6lCNY)@b%VZ57s}hEiI<`Zb&vx(apc(uE01T6cshS^mORM6z zOP_!9^uQ_QsyHhyNu(WTlRDOFPTV>M$jpEvLj4eV8Qi)(E~T-+V|sY>z>B-4Yjvfc zHb1gi;I5^Gou!iFMmePhPJ(4H!SKyXS%j)%(Iz!bFu^mOTt|D8ucr*E$dkZxR|!YU7&7}qXk>(v0%L6*D=ECui^IqPhV&w0!p~$h67$5&GC#l zEcVKSJeQW$Y##H%_gx{#@PP_Viwk$`^>hpmb>X^-cNO43nTbI{*Ru1e4Cirou+uw{ zw79BZM)(p(-%wP4&v$m6p72-P)oN&|Aqj)-d3+^A zpQ8wCU~ApmuQ;z z3dN3)FW9x|-ZfiQ;w~tCe_=s*QnJb_hQpNxr*n6VS}dsH7F$^m0O?gv4985+EKbL& zl)w$IbNcJhwfQRu0{};FdejG%3m@&lNsQvGGwx8FAn2P`Uh&8^lUIRxuDg%0N|viY z_)QNKrIM^dAJvl_fn+sPI#5>NVIy?Ctx!mfx2akXf73io8M(xIdMDV~58Ohw37`a6gzod{X~^1=Vdp8r>O=5PINZW^obB z&@gH(2Y}^fKc)g=m!{`taM9=o0GXsC%f1u7iWUCxzD_x~9*XKsFo&IdUx5~ECKsLx zCD=@H8FhwaLIKOPU}NS9*$#%RW+K9D-9rf}f7EOWmvj5@vsDInJ95DZ=rVruM0kSs z@QLZ*-~; zUW3>HF{45{obbus5j&vapQL-Jx*H38kCJn&Uu-B<5ExrqFKh)L&}3JkRGil?RaZdx zYA~T>ln{PM!{t?SJ3m@_+{aYlJ8W#dGd-h;J`$d}6tPyMvevz40ohlkDppZF>d8P_%-uRQ39v_pz$B!?%Bpdzwb zKty7Hh=zy6$lxrO7ios0JYK%<|lT^Va#>y>+;B6?1vr{WDm|Af>U(spi~BAF7AJgyrnu!=FJN8N6m5?f>V0(p{u~tx)4C1<7&g5 zvHOU$9(rOvR~duUl2puQct(34>F!q(-3VZUk!J{72^q>a7Yls*@_5|g;w*I=u(YyA zTm^cT{0}vMp6K3}%nbb+l?D5T(`y-q&xM*jJp@Do4G^{bg1~}x!>L*4as&xqx~n~A zmsOFR{)d67(ucwi|b)9EYIYFyOVr~xUc|)rNAhi^yhAC zE`(DeE6~;x*)_HzGnKIRI9Ncq%4jC_nCez&KGsspFEvx&EO3W7Q)G%Tu9d_T0Yud< zv>FN&MLX20fTEJ@3oI)4TOmEPT&sFIx*HEv<0T7=`a-XWO3c7nVhx@oW zPD=+UQ0|k(O2a3E3%dP~27-}*Hk=J`N&@h(!D)a`a!kc;1=U3aD%Bdnk+|A63tTT} z2D$e0?1G!0sNrO73%LDUgU`L*ex8PmGG6=n8ZdC&kM5z{{jo-m3*^nE0oO>d;_*Zr zgluBSQipHI^GvI~A$^Y=Mlyd5ufs9Vde ziu%HGpO3*lc!F*p=3QNJ#SiS8k(yJtG) z@Kja-lh{e$s4XA(A05$qq9Zh?a%dpw)XUi$V!3*97i|pY`lWSIT$emmX(*JaX#Wbr zAZv9Zl0z7=oFIg9cvu9Vz(-aB5@-nKa14jdf*36hU+s}mi}G!=bSV<-Ol#DtkfeM- z>)a8VWc`P!IC=B6c8xgZ@X_GDoE-ccOvgJNxDB>rcX(zMxEn~;Ap3xIxH?oZYuOPa z+4RzOT}aatp1s}E7hUhK%&WNns7=JPsMHyGcci7Y@t1qS&d@%+x#6 zaKX}>OhL`;ysVKglz{x%{DfoWsTc5XPVrUE+?!K0T7ykj$`lSnkA#$3!Z7KIA#B!J z{fME0v%$kTT{#*Iwpy^24}5EBCHL0`i|t9>YB!^yMxq52%TX1Pn1bzYR~O|a&iN*X zqB|UfPQreXaJ;~UZ81wTx9Xb7I!Eygm~55>n@gBufz(%1Q+&e;)RD1rehw6bvasp6)`;k}o7a*yE1x6$U$+oSp0Qu~e|!D}JcJgO@26!1n6yGd42A zb&rGGI+Lu+{+2qabYhAu`_tT&iqb=>j=Fp`sw za7*=&Tm+gyYONGL-^@BI3)fGzjvNQoV4Za*sm1~i6zS|~oUbNlfAocxq=YlBEUK>6 z9u748XpNW}el&CkJPyn@oBT4`2pkKFl4grd@tX~nSAA2>x~O`r63pl-@*3RYi(}yN zjqVFkW7Q*Io*idq%b33&CQFjTW56}|-CeiU$G#=aj-&cdcpmYM;m8_?i)@4eNOX6n znxz-QL6wL3^^zxF8W(DXU4YqD7hRqd@Pe-oJ##dCgAaV>=`hT?%N4s7tc#9g&0OA7 zv}S`HmV%7d?FyMr{aTJD%nb}HYytymV|moSPHos=kF=Mp(lZQ6ARE`4n6ksT5S~kK zY`+X{JrUMWvf$x-Njw22Sho?fnSey_@EkodLUQDiI)MW!I&NK+Up>ACjD+vK)@UIe zQH+ChcMmuoRWs7tO3J#7ZEzwW$-7WPZ3kOsW4v=V3cq;HyW*krTkUqj4*C+*`$#xL~dodw0C zSt*ae<|_AGjweu;l=8rza0LwoaI?Yory#7IB*UCtRKf8)hFr{3;WN=Os1Hxe1sNN& z86sJ->o z`24G+Js&tdFq$~I#{~m%BA7~Rz8OvC&hZ*9%G%%-hNZOT-@{d;ke)f>r5Hy8pvP&0-7^KoG_!l=e!}VfWZETFwW#%s*w$bJ z%_j;ho+G zSknXHQ^a!<3Tu}K*bKxH$S0StKn)`QKs|BYq)CU(hRy8r(XS%ILZgbCku?q2RU@ld zkK2}gFh^weWGlyrduL~Xi`pEjn{SW(o)@-`ZI}+aq$|Rip-mJ02DLN;vdWh$gu!TR z$>>i+Flyvhdwe^ZVO#0Kpf^0YkBWn%#3{GmVB0m>iW?F$aE5t!pB*`RG^0B(W+?a| zHA9ZW_zD~f&llGAXlowj(A3WqUeJyUc)GHgqCQLT=R_n8#cR{tC*P-r3=So)qVoo7 zd<6lIVdL9>H(jJn>Q^xQ=-#BKJ1PG3fFl<31nCGOQcj<)f-q5AGdk=Cx?T-_wM5*# zan}xmg4;s$%8B4de)bdMD6M`4imAJmUjJD> z(M#rn{r9At1|3;6e;n=}IE@;b?f|abB>g6AD0<_(qy6!YnLiOyB+X1;L3Ljx4fY73 zdU7a-AAp-3A9M(fDyKW0cD(?A1If3HGMVGqte@?!<3{8iynB#0Y=!K?vuS(&Z*3pVOuI!Na!#mc>+Dw*#aL| zANd3*+4>eMZH@|Jsm@R^+LNu~&3z~tA_OAnchpy*|2E6IGxCcTR`NBHi62#TtM+m+(41dWJttXTkPME^7>IX$A^*!+3M_pvsaJ z6FgbqAm@do^u+Ye=s;{E4h>f&;MR(g`jY7aaLuigY(;n1AL6F>YFY~!J=v}i*DIb- zbp-GuAAmIKJ_&62)a8NZ`(9UZw#ErCOf*{-%sSEype)5z^%`QHCcrP}i^~9bWXZj& z18mF_Q>dW3z0QR24&1MDYGOX^cQS@=Z>|6vdZV~;z$E_;gf5wXRe|3uwIdM>oll&G zJC9^$E{odoZi(=92%kYuHj<&Na6%}oWvnYd|X`wV1NNv??fNDz1(nnRBmt}J-$PaS%}n$P+f zc1&8hJM@4nISKa}_eqNR9f28=g9_jAsymI62h-;RoCZmY4_#Ej~B)~BtokH+RccTs*NC!+0*9S(p8&a?`@g0Onp znpg+CaN+}N;4 zgV!48I&yPN^=`WKM6A96>;;K%`ikY7q}utXM?6>SR`2F=dA;bJfdAzKD_q3cj4+82 znr6U*#$%ZEL?8fe70htU(KNtk=8Cujh<^2#ylRFy(Wq9vG6FchaD?`JSMFXBdZju7 z<>aWq{r-NOH_u?TRih=jOmS)hAPny1#g?A&L~IXWE~MM==x#ixj62NfCh_dAz?E-H zFASF?ethGib8_Z;X>JK^q=BW7?AilvHbY?-s>2Q4Ugv)DHVsQ0r`=`a+b`70Qi0pC zMLJS71?>SZnrS+Qk9IOvJnclQXMn&avI54;r*xZMcEl{>eG{*yxMKoYqelQQ}ZJSM$;20zO^tTaRsHj0RV%xt`Gd^=BGUK z`0pEySh*NadAu@4cdR(3Zy4~S@rA-Vj)#z_VV)>@`R{IP?mWXrWRm6JjbG?XO#&Ej zf{}CdAUz*L=77&jO`{DTmzFwe9xZ;bc9uj?A2+~=%q!f41~(vX!#X_{j!N7yE?OvS ztj#@`SV46guf_%5D^>n>M^(Jwas%)KG8A)?&7&pD6o&nn0>uW<1mr-%SvHrJ8?>ke;mW3c`08HpaF;zFIEa9#vAT5h6Sc*>9H%z zOG~a^ox+&V6X6jeI@B24 zrNhtPsR2KpZe3?1+)#Sb^Nta~cy_-Ta4N|TIb)`6sV71?W*5u>%tx)9rUFNurUr5Z z=A(ZE&S^C*))`){9L!l-Tv1ifBar|_uUR5*lj>Y<4xOaW6E8U6c_I;st-NWt8fkaS zSyyiZ(f``tVf zkoYA{*KD5B)i~sAH$#SP*xAC)NX|3u5-Ssvstm7K8@d+2k8ALOa)Zw}+N}h8Gihm> zGELS@n{fc(mzJ(Rv(@XlMcQ@2tg?E%Jke?W9vo5Qnjo7HL>xG?2L&hQvdsMCa( zB-fnXE+)8m!d;r++GJfsz@DaVvo+cI1x)ylOU^n4Caw5;cH7`u?!h{ZX=}Rlz?G=^ zjdR6zegr5Aob8aFzGb z8=(ibQ*oNw&rz)T-QtV4G}Yn8P0{sDU_Ie6xDwvYMBKi|*%cOS_Yyy(k3@TFxhDek z-2%iahU=&3PCF5*-xGV9YlLEa`8#nxX#DKAR8CT?P6X={`=W}zhICc|SAVvg{3wOu zi*{3+i7s<3_gQoL#?2cYNj}ITBhH@lV?p#I*MHn$!_2&M|J!GpqYPv0n%eUujeB=AK3z z79ioWg2I(+f!yOVdcpx1&m^){LhVB2frZ>^ zu)1J0-3fbSmAimVG+8BhAf1_*t)F3@~|= zFCFx)P7{CHC4dDwHCu+m%r(af40bhnH?3=WG}&cA5AT;j(h;wG*v1sa zrvi7@;F>b)#lD%=`I8=7&X}du3`Rd`-k}Ej^ocVAcb7FBNAlHr0I)@JXIel% z7IXt!4eh-9j8+zeKe^s;!IaCoN48pS#$I#~Q;oiQz}>J@re{wA<$@l)Cbx>!Bm9er z%$8}vb${wCm<(v}Yr=w3JI{Z=Xn9B(BV1}=ySwKX|!K{?Ax?J!>vkSM-AQXqgHaLwu<*`6!Sg6`HMH5&`u zeWt5|nNj-|Vn#-O!7@?oq)l9i8fk)q94xq&bQN5;pTh!2nJSz#s5+9v-a=T3+j%+* z+(=VIH&0>CcJARQVw3a?@ymvPIwXx&xMjDnbu?L_L+ouHR|pDG(y^ifM<3+UoF`!a zI1CrooRc%t321Fxk#}0F2p$3bUhfyeMC3WiMk7un1xzf&fyl{@8-Lx@5K9G-MUz!l zce|$+Y9Xj&bOEsMAXt7pu2jLgZK{yLd z3#{XJ<^HuCs8gpl!ZcR?*{?_3IEcdFVo(zzQ320O3&JS*gUFvGSzI-^HH|4+7H+?u zm4p3uQBcDIh;fOADhMTeWevkGdHf`@7Gz0dMWPvXD$v7uja<0+7I#qKD>DG!IQC{a zPpavKyKwTGUVy1fSJj29vHPL1mD4dF{f!l1>fGKdP&tTBPgx5b+}`^hNsW zat$K4|5^c|sR>+>RaKwZPi)e{72G|1x!u-|s}N63px==Lkm;;&Wb>82-Bp^0B(U#B zUSzIg+WMqRisUfslm{MvEsHBl!NBWc;qg=mEIg{c7O?ODmSXA-OG-wGS-{83X$luq9ttR;Yyg0~){}4V z0!E(STsb<`u@UqQm*&;ZcKr=VUsN(ZFg@@?gVWX{n(fe*OW4>q6C1m6vlk2%IEP+r z^N38iTr>c$bALKc(1>I{6wY?2+-(MT2{iFaa!3B4ZUr-iVRJ1mMyId^0&5x|`V=-xO;~J_s8-HbmL5i)o;NVrSINB~9 z7&nr1YcUSKa$z$EY3JPY$A)iL!0P!P9>sbAj6@d|j&EQBQ-ie2bq_6iXaC7qt6za5 zyi(xUmiT+*0Y2fptA>9JheycpCz?CAsHw-zip*WRaZTqf{l~#LGv(af@U}h)Fl-}F z__$FF8+UYVT#k1o)TUQZ!%xpR+_o&>3U23oz#rQIVkZl7G{_G3Y+^KQ+~_@$hfOFo z=dS)}-%xAm0gpdfB>mj=_dT1Q#sq1?`!#QDWCeFY-1yh77kQIa)}F&hKKg3^_zk#_ zt4`9cBPblT8W;{X%%+u~06ZIOXpx#%BiR^m65nirx9xAt?v6-BW}PJ>ZtYrV4y+H7bk{hz5<}cN6vrJSRn2e+A(((D^~Q0w#CLjU3+|LCCc+ zLlrXh#0rU6Pq-RlvfIleuPKdexV$?uGwHZHcfHYFWuzB;y^wOHg{I+#QgVkN19(l= z%U%6u!hpIB2YShti&bn5)ZjLTN4+&r%W+5GhX&#J#F1OW!(R3we(;2siiYuAcMh_& z8Y+gRDlY)M&8_A0PElgJ{ob48wglh56il$;r0efY7W7Bwz2TKBlabz7&heKX2zzzY zXHSFz@|6;XDoy~>g7;+F+OUC2@?NZ?IJQL*-3?*P7b{h$M^#lF zfp=mO%!c0Z-as~ddL6Knb;5+2I5AA98EkvQi0UwAtg(7X2*DUP6pP8LZ6nRNAS5)L z5#_)QjJ)I5Q)@%>nD`{rj!GHH{Rp*Uird@JD)w~xT0S^kNK|l`t`V*<9G33t*2yOJ zn)OcGGQ_1Qxo!TzNddQ^Mid-4*%H#Cl_Zhv7J#<1>xpoU;n4}D9R<`?RS<4M`U>`> zkVmx8{B}T<#E#TxI@jQ)s~})*>zf*_i9U~0=QgOjlQ=_U=hko^cd6Q55b#7CtboAM z3OVj~#AOOK;7Hz3o7uh7F7ChZCp@Iv;~ll3Cv>^HuwcBlgN5-sz7BV;qg{6Gr;XSSfZH*wSNHDKsiVT+7L6z_3s z(dD_4c2I&zX<}pN|1#6u7p#k~^iY7P&I_JkTW-fCgU?%Nvrs2knT2lU*BYNj9fe8{XQ`I?;g8ZTX;Vp`Qy!t2F}av^y8ugOcLUHbA_iwdD7} z#WOKMn6Hny)fGK>iD_9Y^5^#S$#tmFwTTw(9ZYolJdE3EpIkkG4l-D@w*~uiA)Mzs+VZ+*l&DyWIF2eIWbUEo1* zx#`wf9B7ytJ*6<3`SIO~r6g%Q`)-R#hcj7mJ~h zo|ii=6)>O1+P-k#+-;LJkEa#fdazy&TP=`veVdHF(ulklPPsNiAu}DgUDP109q7M8 z#KM7cOM~5;25&#$udcpq4`yGs4);z8$4|M4YWlzpmHpG-=K`$T1RkHzVJ{4KgA_S$ zqGL50S|*cxtp*1lB3C`JUuOH}<46d+>zG_w#S+1U3 z|Ci>na~D0r1@A|mn?6D1Gx98G+J8@Ova2Tg8s$}Dbv`Lc@jxqN1KHGudLc2JRdPJb zDTReY#BsZEsT()?TFS@+J<%F*ATCyye1s3t2~4Q5Pp&RPo*c zb5>?|2#l@a>YiOvys!2ZVVVx$4qUOL630cqw$XxbV8E&QJ*bWzwNxkcPiB$T@WJ%& zd0^BGI9EAPnffv=F8{PwJls-_{D*2P6Na0fT&(GCbV>0{zX#}j$U*UY(p;e@rUlhj zWNOfCow&m1ya_$j-G>Wi57yO$=nRBrYxXcr%M+d1a4Z*dY*vw9JV2iwXu4c;B6_|h ztyV8n32f{6v%@W`!_lG?k#?Rs%uc=f6MuI=dpgjMwQy2X{q=>j9EcL*g{U1U#M}*% z^!cLa(Sbhfx#OPdsTzC_UGYx zA*J1%A{x7PrNe1-ch^^Im4i4dPv>ba9c~*M13>&NHQ{OfW}OmiXyYmv&yCf+@@ z%Gy|&?KRvCjeY2i=_W{9n2Zs3bR<>tfUmSxo8K0VF*0U6a{M;0lamg0xQls4M9~T9 z?6h@nZX!LRpxNu)JvVhAvuNkJwO%NWqEJ;px#~4>+;QVvH24TAtsVr= zZZY=KkS`@sBigdW85BRqfz z4<0rLnVCH&U)2M@2W+EXw38aOu9ToD2O_u)j>J_WfQMx_JVIJZiZcSEw-QVw(AD%X z5>rDbR)auG$A?m@kik8mk(}`|H`$b(YazCtAGZxE$@rPyWurz{S58XQoEP26&NSvj z4olgC9(@nbdoLXJKDg|Q`#KD!`JQd=AeLqXEzK_&^qvOV0$keBgCd;`>vPB9Gn?z45?7C>FPSnlm`&q~iCApufj*QeN`(Xem8Q zr}-mKoQ-W3?MKUd@zFa~j!>MCMB;22f-YH0s@%hF9^Kzi|L!@X2R}#9(my|XzS2QL zbdL|FpsF7&+sLC=Xg%m1KrBI@kSga#FQIomx`ojJotwW#1nR_t+};&t2INWPj^NFp z+rQX0`C~nDrK(|nS+QwHc!`fT$NTpnxGL0-fQf6y2P3u}5Q+PX^a@7*A6>rS&H}pp zOQgiwN3ZlZA^T%-HP0NCJztFvb{rihxavJVX!-vhAjCoIQvPUp&OG|id+O3%h?kG9 znI0!q2c*(O2c#*GE6zMrA1zkCBE$I6mT~gYjq2)0kAJD}mR#b|Cv7Xx@%0nYV?mEU z^hyg8PA+{!deB||((sT=v~H%49{Kx{cO{eyaVgbW^8eHvocQ4IE_~@$(l)LZ@P6rD z;?n2sJeJ>c|9M*v#kV|rkdqVHq_=tx`oByIoa)hAK@{(SqSh|Gr3`p;*9 zfEM)l^Lor?0vaJ3v44B#@=gGC|It!_J+h_62E*=3wDPMy`b54$tL=$&O?(CR)_7LLKs~VH%1@n$UtmKJZ*`G z6ni^%IxV~1V;`;HiAQ7M#{SCU=_IjtA{mgjLH0Ovya1I*uYZZ$fBsIZazxJokYAc8 zAolFol$x7jhyafs5giy0X6i{@L5Kpq)3O3qPyD+*Loui?)!ov$3lN`pv;f0rMsftm zZP0&4tx1pn=yY;;+Gt{%gZyYne}5OMx*uJ0KYQLzgSoKN2l*fz2uz60=}C%U0;@n? zLyD*`Ps(U%+{Vgnkz>Op-5DMiMvx`(P+VG9EPUn@8kg26NRGMF0x%N~L(4&aiAUkS z8YgY#m5%U%*pu~VkX9a~wG+SQRW{NW8bQOhv*3e^Z5)?9QsIg-dgRO<*(beyzQizq zQjtdOq=RkzIca9hUQq!K?;4K+`jnbphn+i$fQZwMYacf3C?&y!T_Ray#}Sa7O8@Qo zC{V(h-O}eP`00Y)X=9$6b{3Olj~O5Q=}qft>`oi``x%E08A(#@IC;|Ny+jrRD|al- zB8DD4(>VtdcU(irG*V*YVe^h6%^5ZApEFuIrO(LXIx>;eSizXN_rD!9();_*|0kV{ z$W#(J(V2fn(>!e-oi1|BQqt0ceAFRpNl7EN@(FTQURorVsR_qhM2)5k|%)a z|7f`E$Je1jh?^LxNaD$R%n17Eoi2~aOcFQdIVII^LA{Uexi^T0Pc)QD>A}wZJ88Pg z_kB^w`_Vs1AP83FldIn&cUs;B8A-z4E=(Q0B0b`XTM7-TGd_q+w3KgWG9EmolrQ~T zO1xVZcx%L><$v?Y9+zH$t42?BTKWYy>HPlw^L}ny{Zeg~8t>6H|K0M(J)Xw}xAdCm z0J0DA(6W7L2-op{Fu5;|OibwuvQdfp=$`)`k;{}KM3zV9##qXwN0(GsPyD>VEu+lz z0B2e3Y|Kmr^5n4?HQr)N87(b}5fAZF#?1e&v_xjSauxbxq`zxat`z!b#E}4SKpe-J z2WqZ7%qv~N3e*#+Cu^ss?=QDzmpqc`dRofPOKSH_?kJ@ds4C(hpF9w!#2ZK{CzpMC zJYx%7F9KgI^-ITELAXx1x)!=s#JyF&c!?-*swja^7DVT?L`O|8=qSh+hStRLew%To z|MS+i#0r;;9_=7&>TPX3Rn|tXtj)w@86gt~4YBQ}>nbtBS8*{tq^8qeT@2#d(BU_VcP&vXF7dS251 zJHLK%=UN^-TGCIX|Ma$<{C`iEFXWW}^M7WRgjSDaPiqeVEhqh-t~|);od>s{)VuMe zscoY~4%LtbFTEZ`Yor{G3!mot^!7<-B(3*}&Xvu0fkKwjw2Gi=j2%S=lUVtTd59`f zV@B0#q0K%vZnaeT8d2;nP({Yt*GcCJBTM4{JKgUK6p<^v-}0K@Jx#;TUEeF}MGN(g z@pWvt*!WZOK%bh&;wUlTqqB^MfRni4`X(V!q>juih z7D<@f(}NkZnu1!W+(=THtN8v2oVcmWSRkt^x7k(VUS zCJ|jyd)EAy`UiK9FLnT^Cb0$kO9etu81em`Pg8hR#QH4a=+Q$N3*Lj37F0hwb@1ek zJHC=u|41ptKqtNak6uae9$(r_L=q3p16WNwZ%4irjFLndXg3o%qT#YYA(`3^J8SyC zCrM}gS-PX{+_!pCW14dDJUZ=MXboqgvp}iT_Ob83r5YIr6o0XGzonU~>oZOK=t(*T zN_hVJBwHZB&g0IY7fT$hnHIV^oIDb2B9=B!y3Rp6cVcTD?C3pMQH@`qaZ5CO0%Lo2 z7E6KVn#dC^u?1SR*qo#^D@XyK$TYFjGBZCq?de%Ei6G4$>75G0GH8)bm*m;g*@LV` z@#B1(nmua(kfc2R4drd*CCrEvOCLKO1~cEFkX}6AM3F$L#KU0HV>Q+|dur}X3a0|} z>JbaXB53KsOp9)=lLX@V=hg(orpPX4viAcGGo3X^^BpB5;5kL9W1gDF^W-%K_@?H-*OfAvrI*aU0kplp!DfR{#z2o#OLOaJ7B)9zg{`0|o7Z36+6VOgO(JeQy z~T$-8kxM~;m^$7aX{Oj z?jb{4dVePIf3`2nRQO9ucY4OgV@@>bL&QO4k?6(ie%Dl z7XTxtw?|sbE9**t6qNu;K(@b@4l+Qb|C3WsS=kI(2pg4pH*1m;0I3{>Zs1CtSm7MG z`E#bd34gDW*52Iz5_$6X+57|4vZy|V`bFr32p|Ia<(0J)tE9VF{97nYkIYh9at{NU zFBscE+8*8W|0Ve<6rd&5M8nOf#0N?94)mS4P3y8&co)XRIm~D*XOVDmS1T z#iH}+g{a{$=m-jq3~slU-flg=JyXRkG3%`$u}k)y=6C1Y=^jb`0D94gWsl@7Q-J9l z=XdA(<;Ka@)Bl;1Agnme5blKWe*{@YT>v6<<4Fdf=A@Y*P;(@6_fFP0Ba$}qik%lA zf@I_0h<1?YErLxzC$G65o#yF$d2cct_75EzcS@F{VKW?&9Qo~;qzJg4x7fDYl8BFx z*SJ}Zr5}IvNt=sCz?tdD2ocPh$nod(BG^oYe)=agnEN;@G z7Ra4+ZD;4(7tCiXc5VMD4HwloQfK70pRAmN`74xPVeSei*pH4Z9DcB&vG6PXmp(p; zEbbhS_%6`N=LnvU{}LHjJbVG8)C1SLf3aaTc>vX~wYUaIuSoXX&zAgP;OrGyU1b{k z6?@)u&jC}J-am1FRphJ>8UlKVv{?U$cMv!nM47B2+kBX|isbUCcQf91>bJg3mZ$=) z@Fh;2g)eb>KkerFt>nm7kv2YccI~t%c9L@Hx08mo!n=6J&ivN&j>Rdl@gsMd=za1; zpR`-y&Jd*vcmzbw2ZMZ+#$j=eY#A2dxM<6lEKs$4$*=>5Q^WgSB9lD~roh-2SXg@` zNB%b+<*-1-B};2+n8o6lbBuNX{iU*NN#j6!YU~Jt-qZUdRbHc|4K|19XbZh|8l{$7 zo`ewSGvmgF`E$g#lg9_Ni}~#yWojt@(pG>iw4~DDe~~^oX^_X4$>jJ`nKxjj7m~dm zI-GcWqhXAK;D9K*3#=kg1 zJNan*=n>ai&#phUTW+vR%l96Nm)i9pDPC$nCC?BvOJ6MU%(R+&zCzaVMSW#usAG?G zjH#(Web0ZV>ueog+F8)D$HGfudhj5QqYs^XNpy0ct|LdSR5}rVsldD(sE3cOuSrrH znY~jBUn0Ho+cCtYj+zYc6^_59qz5H2#eobku{tF5j6>IwQJ{|GKT}7GSMNG_U5Lf? z%p>K!8|ftF){(;~>d4pN3bp-;V>j~Hjh;e;Dm->){C<9^`Lm>TG;?XQr_Rk8Z(eoG zbm~Lp9}nKKlBuaOcV{N!Dq1Tq;gz=>>;WfMzLR;n!X6MM#gWXYHM`(e_}r%2_DV-5 ztO+f>f6_Q*D{G}s?jtRk0og<0gO%k>D63{9t3W8;gGPzz(MkPK0e;>SoyFYs8>|(} zb9{XSPJ^sbk6i(Ko{CHE%atJKE7B_omTPCZ6rkpjw?Ua!@(anfREc1o=#{%my?QD! zSs^PB&Es_LFNGddDCA0_lOd$;FD*^PZ$_T5zhq>u(BJj=ehTBOyQI@>C-q3($w*nD z%1bZLOs*7NQUQ7%|F0!#5-UPQ;}!*ad2DzqNl4nsm9P@hFP7eVn#kRfJ9Z_)U#zVs zRZIn(-;P~R7R-v=Z|UomCuJno%Cu~OoHg%xmVb^esp*;CUvr}*3k z7wEue8$6zap!%bei+F<;Xh$+`uJ)C5Nc`w@Hvj1SdQBFIA02NP?W^hj@}twh|L7ep zG(S2XIqge+GCwk&AnnV64h>487Mt3VulkQpS{tO59d1d4b^rj$!W)o)+jv(Eo`a15 zYA4dkR@&gJTf&*tN)k01-Eq_3@xIl{YU%B47;Z4{1SzeRq4t&v|94CW}J7>BW}M2nD-E6&}#B2Z150`E4KEU|Au?b7av5q z=10!x9Q&iAbliZL6?-;n>REEWZh*#W>En0>{*g0xe53&A29T_{#A>!MHXvf9p3a&F zZl{#1r zd7w|vZO`uI4JooqPvxDcg=#5svk`PYk|qC}2daIBg!CRn;j4k~1$A?Sdvau(1fP%O z{+CNTY01KUc_g~z=76itNcSkVH=@jckxqJ^21NOp=xDoYEqls0I6ucl+EM^+qx18K zbkC(F8M(nZIyI)QG?ewvv^4{^TC_U1){-HuwJcjUfQF^9ZE4j4Xg=r=8hoeI(Dg6R zToy%JOPbr(lIFIxr0;6*gpLC_Zk*MbZc>eSX0bD?q@iHcOKkj)5w7%oX47qrH0~?8 z?>4G@Q*|e=@EkVNpc9U*-!*TTotX`E#Ayu!H!#ub&;Ka`uC?=}Wpe(^%&B=Me!MUB z?(}r8ZwBxG$b5tvn*Sq{3uJ>@xka)HFY-NTQ7hV@R*r+$v%gt`?{*@SltfI4NS=75 zZUFF)8?X~@dB+DWjdjmz!v?Va)Os+tSYWOB{~9lkjSv>Gxiwzl+ej9v2IPVh|NgPc zxXz%GjO!3s1?lxH+`?11Ml$(cHK;7(v{OfUQt|oVfR?gFGU@Z%$hbTWp2g|)EM1Hi zHKYwX$@un)?JW?CHj$=!E3KwX=6G&f=q^NHM&x>Rp*D>-i zjhQ+|49HaaP78dDlWT|aGoB()eg&vxD(FAs_NM|gevXTHeE-KwPx`+q z)$n^TqS>KAMcUKfc-6v1%v1||@fcij} z^!oX;VNR~>ibHK{~^ z3piqP+fIeGq-JkG1&mt={^_Z>o=;pjtoKAmH`E`Qd|un^NrIip;{79Q9{bVr+llwg zk}V(lu~qUzmmj$t}IUlec|?cYWGc`%B}6K($!@@79^=@u$2!^E%zhzW<~16=5>x zNF33Gn9yd9RcbRi&QUN{-);K0iyfMY?% zw4k7)i(9YRBHbBb9>^Ny=uTAr_;zxL?oimJ!rDlMwRA>zBITF({f|S2UEgcZ-}mGV z*nwdmM-Do=9g7>ebqQ7#bPSE{RJz5|QiM;Z4(^MsnQ7XgWJ}~sO`q#e;XBF*9XhlV z$rjm7r&4UC_gCB#y(VY9UUQ&rhh8hLp}M0x9DHDu_F@859`u(6?xaB0PCZp@U2?92 z2aWdUM-;E#k^@GEq9`__lx3WdBoHLaXXMMHcp+?{yt6UoHKg!c{w95o@aL zn%Exo@|Z8`AdHxE(2-homcyEc>aZJ){cw&$xz$JJvdI?E8V zCpVMMt4X5M3d2n#=#%>Fx$>TdasFA}2(3+IJ}nSgTN52M2OT$&6H6Z_{hibheP*1* zK9hpCGBOX?W4^A_6c5drQ7r-CiNtneQSCW?K1ew}#=LpV#eSPUbSP5I9GdMVse=1AR z3VoG$+3G99Pj^HD$ClKjCg>|eEp!9|$NjP(W2f(Xs;!Phc5__cNJmx)qM=kH zTNsy=%@8~nw0wQ1VE>L-y2zA}lroXY$*J#?oT)qVPey?sv2{I?N~ZYe7|qj>n=;1G zcf{Vs?T6fyskWrm>j=dQcI%Erm2r6^HZKZ9!1v7W=VPB2%gDKqwK5(rr$!S<2i|8~ zasd2H?W+ktv?F>i{hd%KI_|A;Ss{2Yz78zA^!JEH{tm>>SXoO8{v^eB2YP4Roe1Si zBcFkxJ9AXV%6sk#;;3R*fD;}6$CWrv^hmePKMrRd4rgiLM$$$1LtS`m&PZaxNnm*W zByYJ6f3!62GhtQ!=$b|@%TrJu#DSZc;S;tq?)H-frt?QYLYQG}TlP5X3^RXJES0D8K_#{bq(P>BtM@}<&~YI`8G zuf*2P?+;y4<7ZM^4@CaeSo};DhVe0@OKk4?Q+|e69N$V|GXueZdFGSoGQQ+tKECX9 zGrnwF9!M>c$UL+=Y1{@v0fRAUAQW(?_g8NGPFDZ%WrNB0y@};ZdkFIIvOHN)f5K0(VJ=322p@XGs0Qohv6;Q8no}dk^u{lZf z7zjO#s@uWf!`R#mTR%#6%p62_jm@v|COjBl7{u{`0K-&%9r^v4o8NR@{E+vG;V?3V zArn&t=#-@cLncT@#|*_1Z_-FA8aHJv=~x=jWtK=rjOqbZW=mfuUOWJv8HWPsnep>F za%DAn+QZHrcO=j<olY9W}$^4`5@4Nvz#+b27Oq=r8p%r)?Our}a&(Y5IHp zc|AF?4TNZgQ)1KvrZS*at+Dvg@~|Z|!vU>o87)7kiC!rdbHMwt$L@^?Ei<5pO|Q@7 zsx{yY8JnBpat3@Mqor#=Pa8WwXP)J`@*>Ilj{)b$*ctHM*jRXsr`LO$_m#ZX2K2fu z{lC%)Oto&JPtP``_JFHnT0|%57zTYCPoz`8?|^sWNbg5o%xGV{k`1VB1EYXiHdYS3Y@F1d zp;ZSIv+47cZf8Kz8V?w1R^#d4nTI}B*pj>9pdLDY(2^K9faF+reDLE4anC|SnQDZ9 z9seK6+j2l78LmbH8p#&RAL%wdpmU7mOc)TOCx7&fW8UdLWoJj^k;0<(zy(QAZfw zhk!mKS&};hoOmolEwU@tF)f$k{CIx;cvUc5j^%lknF;epC-@0^)C6jKI%vk_jdioR zHlE$Taop`@>SWMhy@?+YBpB6pWAEfM{-g5&2uz>o5;t}RbQn-Igzw>OXoi_BI<2si zgINYu35iZS7K(((2~Sf03?}|)=|MgMPsu0j$f?(UDQGJ^m$ag2=AZD`d^OK|{~Px9a_BB({Ql9$vs_cQgeQ|_4_+*;c*0yN!U#;c zZ_>~TN2mGe|3>=e46XWqnTWO*t1CA#?Wg~bRmU9Wbymx9&V0O;eob3edi_0ahEd#R zXZ8SxpOUh-FY1NisHA<~SQ^k&)wiv$`@cjE3u#?bUwbOwvGl)ifgNICwxoKUQVoHr z6q41lAQjf#o5}1<(_HD~RBrOr3d@4#g|h&l)%n;2Ob4o3qi9Y{%IaQeIXGdGaOqy5 z?m2GCcG1&DaZuX{FQTPMVat(M?`;Gs=WiO>O4YiifSOb2)-A7dVMn&*4`23rx@SR^ z9?KSDnI*NY@XoPJ)mjawd5Uh$h^bjEWp^cb<_e4VnAL5PggcHF-=tv~x^5NE+Td<8 zWJC}-FRyH*x2uTxaf#CY`t1W{0_O+<^fCw{OBQA5i}ODyJ;`9{l6QmOf5R~^QBi5wmR--b8cwXlsBv_=D5kH>AI=wf? zC}-XPQslIop#Jt0WaNp!eT;pYHa&8TLL|Ky>LkyCUsclxaeEEmo~Vrcf;H)K5sJvZ*bc|+*A9ew0f zyLnP|{X1=&{B8lHJ)=7LHR9COxNRRFKRZbFgg>%-vshQo5`xsNXHB%CfDJqWxRf<~ zdwhR$|L$?ui_y&*I(dZd;U~P#3dFbvMH*o$PauzRxxodo=NB`q*FF7Aq*Ky{q#WAz z+c^QGVz19foI7bRS#of&a8wMf$%g?6@=W&7>psNf_IqvH#9GS`jahi(>Am;1eoiXM zAPTqjM2n5BV2vSJ%u9i64JJ050vMr;Eojq^LXRsidB*0BT3<6CM&lU)^c6e~mj=Z0- zLHYUkjJr=xFHA&BGos>$v~y4;PSOc)3u3KmA7r}(ha|}zMk!aEap>=9dP`1$If#OJ z=wF8nS=@2T)%NOIpRuk@-T{ySlbCoS(Bw11l&o&W9eaP=l}vKlz(^Q?Nl46w+uML9 zUHm!;yBGE#=QJdT9|)S^J)=YVF`yS`qC}y5GLE4QI9CJOzz7@e9G90mKmIZBC7Qh9 z_*Gzaz3psB=kYl<-8@SOR$yCb4$>{M#2?-Lwp#SRi9ibzM(hIpixF=?u(bWje~WLS zz4&)^3AeGV+Wj0;*^t%0dyM{QOXYdca$*xS6LD4Av4wp$>1MJ;A1tj^KWWs|=JNC* z)t!~=+d)N?O&FmIOyVky^tLJ4EUQ1xQAwA3=CbZy|2;<2V1TnLl{(rj8!H8>25d~b z(rlGBeTxAxMy!p9U@ZC$cuqlJ~$Zr;~(Sn?PbhMCe*Vz0;X z3HjI%7;H@r;^Ilc3Jtb4ZRRyOe{;H8#OP&fX|wcs=TCpjMF?-RvSo{f{uT{(H_2Q- zjzqd^9rwnjEWiKkkK?em&9CMUN)t(kogGI$9I=kZLEP2mx3ej`*`A_8r@<~}uXAC; z7Bu@ko*Q!U**S!^A~~ME#x<}NrAUIbSV{V^ba0TgBC7zF9?Kq=iw%DL8^vQ+9?{!) zB-c{;jiOz}^tW=HW0=^oRjjnJSh@KP;(u1Yd}(TBmu089+OmcZIymT$jsWfiz!-Nv z;ZAQaFBZMa746tE*fOo<`oEi~NZwI|5MX9!!exx7R%l2sr%f=`@Z+W1sGe$reDrs} z%tG|#EsNx|QR*U>58}tRNGE1#et)EcRt`=-usgyqAWp#KFE#~G9@Va2owSYVJR+wp zY__yUSiAte2l1lb_+P%GXQH4UlN0ESE$tX1z3X^&4%dyqkW{rsNlmN1Z09YNaR`EgK+9M zO#shGfH|~q^uUSVXM&{r)pHu*!#|#0n_vwtK(lt3Q_DL}fYx9GyGYJEGHgs;-Z_?maS3J8{c^C^6dvy5#S)x`_40H86r7_86zWVC6z=7*u78OQeD z(Nvo&mnohAZ9zPz zvu(?@OGis|U5xV>2!52yX>w-p^407qEwlmIq@iB6PI z+VRxlQ?qznl{E@`dK3o*_Nw=%^EoXt*9Y46JI4l&m!sbj^X;;mXj`%yiOq?9U{|9; z@@|ho(lsYsGO&eOXb`D(MXgS{8$;gqzpI+H(R&GQMT9Moq_wubK3Dk#vVP7r3ah@{ zeODIla{1))K)i}+`0e#&`h?9p0Rl*D(71XLKw`!7%t8c75wQMpo^H z+1QtM^&$!W_~^n z>{jsQ9cY+qZBei>`}_;LyyshLW6HmGLvFCwYM!XYXg#?pG?;JAlERHRlvly!4ImL) zC(sS} zHHaBeEFtEFF<}#93%}RA76wW11Th zwnZJwlgbhp7bQ|`HT1_QceqXyGvSq8y(PLWBL`o5D;|gm))C5$uuRr4HFoQR~crvI<{P=IwfUM&Z zs4gx5JN9i>Nw;gJ@1%!wHg;uS?YXXW`@1&cLvml?e2}(?LB`rQ&sFxBx(-$(+e&;J z-mh<*_Vs?1cuV|Zad--OyMA{Z+16V8Hf!`vR>q@oyERt4avLU{4=k-tX4w%Pk>(qX zOeTDDq*`^UkRs@|Z0{I37T@O8xv(_~u=V2#W+b!MsWaWpFRZ&?g^h;2yY-Hi;l_k! z>{?T4{kTJ{`ZB7C6pKp?rX&BJjk)Ks{_Gn7u-D z>ldbATh-ziup@~@P!@q1$T$cORaWMpf5&;7rMzWkd!)|(2e^o(&OsbMNeDnPA^lf z%%k$$kz_-T=*WX(&Ow9kx63w2x$96nY+b8vQp5G@N4I-VVd+nZQEhGdB?(NcBae=& zPF4PPDW^y+FrZa{PC}iUzhoo~r-pP7(hck-Y#90Z-#SYbGv##*<+MNf1YJLU7MWREoX;&&R zonBja)kh=w^u(;I1>ebzV1gF9g>ZrA-P{3-9Io^o(E)x{Wy27wXG&CddzgiTH~wBN zPclkpTc+Ebv>f4IZ>kM$H2|M18yAw55u+wN2>8VAd!4kO47>4v=xAj)IHFCzepLE) z+a2$sy&m`aTYUR;KmHqQKkLeKm_vA#yNA*ueT(DHZ>}S!qXv;o#`x_J}fXpRh3Z>pddf65?Z<;y^F|Hr)xG9LI${o_KxQX)QiV7y0ip@&1I4 z#-lw7jM^e=?eIHta4x6iyxlf!cE1&fRi3KloPpep#syTnZz*HQU(u&LB9Jd0T$ z&*DQCJ`4v2Ymfi;5{;f6fS=VA2zuWwS=5a5p)4IHviEUye)R6^K>YN}awWZNE%ec?vLpkp_ot9nQG9O9ANFjB~PU)2zSK{%-EX zvN;m&FLmr~_v~5_E;}L(w)rvY|Lx%cnwV!b-+X_Y4Bd`MKUwwfiMSe_SM<{!OV9%| zF!lRDpqiXGJur*pum|ZDMPbr=%sehFx5EjzLY*UQ>XcQJ+16co`BA1~)PA zGDi5ixGr3qW<8@X-@aBO8hyJbKR1I~Cz{~XeRg=YY9G+n(&3kCW>~f6_{CS!I`SjA z%D0eq6)-g|9j>Ehz~jj6N}v!seAyI)|JW(Rfq)OC+tc`daq|oB${jwH#<#crzo*Vo zdDjnz%=2822cG8ex}48LtRs5pg%%K1M5Sr-pX&K$X#FFM$O>oHffO004Q`ySC({4N zbzEHFr(LrfIRS7*e6zE8V}@7;!DDDF*w}eZo7|oBq*TZ^?{IXbylQfxWyr>1e_zKv zGSoAN->nNPpI6_iwL>!x{5AC3YkXFHa%Xkuco+(mIFgEWcp>W@*6v(k2npFpxjo z;!pIq`z-Ky81%-xeH(DbwCI#Za{7H>kzBzAZXmCehcs5wSEF0`dMWPX!`Ie02XJWME|Ml^Z6J}AvrN&~?MBtL=AJ9+?e8>MCrn#22Z}b? zyXUGhICk@T`RMg|y?iQ*$8qxAMK_SX+!mb%bB^HhM+}o<`=_aVv$b;X62iok>79SC z7bd~)*A0tM^AJM%qA&?M;%+^BA9wwy(I)DME5O;@y+XtvK}O1Y4pl@MDR!Q*edj8d z4oCA`{kxXh6BH)vKh0DTbj=~^hz+O4;|xD958HEGgT4#vKg(`eON;Mpo4uu7b|OwH zaY^j10X9!u5@UW~FvKNsxn_~>A*7oyBsIQ0?^07~j`O(n_jWE%>iA`VEd^$Y8yHEJ zD^{>97^iJnlXMUeiho2b3DXL|64$|~v^y-EmZDhNPr;1?s^XV}f$${r4|(1ifueYZ ze{bvygo*(*a0xR8#jo3@NY<;!VAZYNI}bmH@w2}D0llv6FE+d#JC}Kf8PMyF(3tC` zIyfqjrqnh~&}qSJHsBd*UJ@8n_;&iaI7ru^m>O{HG#Qp#tzOp|D(wc8jh18@_f|rm zgkyFP*V#n7MS3|WAY)=;wi~xOkUjl8H_ZX;BPKg{|tENf=^d^;!MNB>{KR zjIFUa;O0LckikT5x`QotzCQybd)M7Piu(FdpBEe#AOKEU3%wa`YE|cluc2*!4>vBb z^q+XN=UWBU<)cNe0rZj`XJ-15vGn?MXNpnv|J@zjdCc7w78QV_-H(l9z3#Rr69&SF zb1Bl>t%!@gflAZP%SCcs!GUyf!C`V`z*94HmX4ZI^>I}q6P3318=XuEbny4Q?$un!^Cr{Jqu{rK!Dj5lS(e(sjLW#HxG)en0J=oac{x7qj`g$BH&xhiV+7Y9;EG2OM*F=JXiX7& zWIavl^UY zGB(Ba4^OQbggs{539AGtcTA_;Nrphh0W=WzO<>*US|Q0}p=+MY;{Z%ye)}*JAS}htlRaTq_0@|3J<2>F%1)&Tg%l| z=>HaDDh8a#9$wCmoGv+#!NZ%(*1s*_ ztPePwwdX}JrrB@q-`8}=tqz!rU7i>Lm_+&gJvfpPeALJ(=J1=Nt%~1KWF}nlA%J9u81jJxKJ|eg3_xSd=OH}i zb;YNlWFUi22$33q(RR_6ou957(bW?;+T(dh45*J^zPte(?dQTf=8XB62b1+^-qg6O zhv}?qxr>)Za=A<)$(OhsW>+KWcksnKG$FCg7$w@(VYC&D>DN5lo^bdz=L(j-k6RvC z`guNjqKhk(*whpA`V1(^!vZ_$Mm1x?!U6p1c_X<7;HzIO&;WY%HtS0v-TX}DK@ku= zxJ#)~ACC#GFWOHA0I2QQ;nzQwumf{l#Ze=c{=R<3+-0j=uoAWfnNls*mUInp?gQx5 zZlhYHn=5xZ$?M|Gb-e0GAJ4nR^zZdrq$ExRk!PO!(I>cW4mdHo^Edx)9=<}kf3=7Z zG*;_ZIm0n*7l}swa`P@H2xueb!8BF&z0xdweT?m@WiTABx4)K!)_UErw?C8U05*wq z8Iqe<@6i+BM~@pkz_#`1DmwsHG9$U2_Y{?OE(QR<9>t}{A-Z0Vdk*{X@GP1@1|UmJ z6QjP5;nCHk{ODc0p{yV4=_8hYgN(?^R>~weh-fmxz{1eD9@k#8JDw10n{Gm-N9S0_ z2W1Kj&8yR>Y)2IecB$wS895&6IlR)P#Q5Sv3p0F1nxob}b(H;{+N&P+!gO zIwwq4ef_}bGBm&I_XX){GG@QMmO0E31Kj54n|v&mHILr`Kho>F(h3V(BaHw2R=R;s zgvr~Lkzen3%@;jgw!sB<76+1}R$xLgYEkkyHfD)=&S&{9JPyAt5#@J6SJ~eNpHNP| z@Rc8Vu1hyYytofPx%{LX>l0WfoGJYV$Cki}!ZgAxZUvmcpP+vIqBwsw=9-#}!2ZnR zy7Iwwb;lN%2)cfuHM3gq!TtQY_pVLCsc#|#Y9bbIzF~A;ppghV3IMGU@D*7~6z~cYi z}!xWDBYvnM<< z_vQPuy)%bRWx6*LJ{IX)9pr=A?)8=D!ta9V1I<0tx|`l2otf@?t#yq&1onYjKG)(t~R|_)BoGmnX25KJIHa{^*5yX`A0j@jK*QL zYdL3OE2JsyhgZieg*+L$5na)2v$3dlL{R9CJOu zTBZ3!EPb8(4z;r*`c={;%99gn==}fnV<{}Y_||6Wzn$$8p6Hpna(&1&k_at#w{i@0 zcl^~)rPZ55R&A**sE%f@?)*rG$kd0=$zVc59w443BF*Ox)9^5y)RT8>P~)1*FP(d_ zKac#*#zLcRnp@W2Z7WMCq=J1ve$MoSLEd4GKAR_2*By~+9X8*?CAa2nJdGb;A5T8g z|J_)DRX=X94LJ)G__o1#>QaGkI&snNY{k-M^xm6L-`k2-+oxM5msap}fB_xZ-J`Fx z0ieEj{?4``d*OP_0FKbc95nCCQ31DB{PKX|qZNN+*=<=Z=bCh}o&EA2o<4nlK>;xl zj2=9vCc(hXg3sEH-!io5E~cfre#SL)v$W?6&BKSW=cdoZ|Km#+3j~+jQ1EC&G`R=Q z==J5ch$7mpq=fL9qqrodqjZ#V`DP_uqc}94S)Q#!Ncnz|lM^xIwr99%5JPTgp?d$` zY;>?Qh$kr2Y%%Kcg8#YM*EC6jm6?FX691sFJ>my3_p5CU$2Qs zbFr7nO#nylvR_Epgr~O$Rr7-zR;85%SMQgpVZzhf)W5t;!L{4wnk;2Fpo7*KT)oeW zg`VSLVNz}WqwhgL4g}Y4lcMzb-Ev#BU$x2n1~dulF>d&Jn~27#z}X*Wc1AeyIWFEA zkDw9ab=Z-0MI!F+v95&0-49gxr$POZu5{Bhu61J+*_3s45acZk@HZbE_9P{^n6w(L zK)TX^Y<5_BLqE!4G*WDUM&U$_!yLzB#q{y%*Lz-XuYmtD30AJ9>HKl?h`-H0fj&gf5Wu-uHUA%QB~WEkG!_HnFS z3jF&_cX4hcmmPiL68l_eR-Rr^iM1elax(p*f`6bDwy*^3c0ADa4S3TtW&OgAxo?G^y25WT-_<(t`{kmjjtDMokuP7 zcTbHw;Z+=>wkGs>XT0O%w3w0hM^;ndO=_3U<fCq?)MiYMiatujipk8ztJaCh`l~(aEC{+QsLYH|YXxdIffU zTC^1%*d}z1FHzlu$FqanvvMXRvPGoN-66tA*VIg2A(S!jojhmVcuW?zuC&H+-S=M( z+@9Br!NQJ*#A&<0ueb&-2xX?O=fusO@GE{t1u$OCxtnq;yog(1LjZX#-xK*49EWeq z*LTr!Iw{8=#GEX+342Jt=$Is9!A*E3$^>Lq3)5k4(Z{* z@RQ_p$HpOgdr%9y0=HV-U08Ry$lZ_u7F5xXEiAarnv>(lra-^@G!qMX{v0xa^uN!%yi1&mxb!c?gDfB^I3OH5)jg|mE`J{iuh}qkp%r!^zS|jc<<@yv!C*6wV8_TtHEflAPw0Rc?gN z5VhNnP#sQR!}SU8JtF1y7gyY~xdO2@wK| zxi(ECE2Q^D=40VF2TjsYdG#X9aQD^vjN|+u=;BGb?=LUZt6t0&8w&?R*ra|;!z6L8 zLZsU?O=s2r?qI=a*B>2n*Dn}?YWTR9V1!-uI&Toe`9}vKXCc|9hf;A4x(VS#&RT@e zP`w<4?(u6}t#n1V87$o&Ja$%}E{;4OuIT0xz_;HSPQF_&ju9#7(vIEL`TBEqr8t3H zmp%S%YjcvP!?Qe$0#p)ywxKDwC7SAtGk{y7#kTW^ho@hEI*0}LIvt&zrvMz}%(}+c z$Bl>M^us~z1wAf!c`-QK=@WBDFF0Za=?|_~6f7@2J>d99t#Ww^?_qopc)+qW?snN& zaCq9UE~F`n5*z%89)R3}8&Q484GWG$77W+)I#e3Qv9RvpI;4S}&@8RR%ZTxe$p_a> zz3Brtz7{sG#{|O*u0s}{tbcDLI75gRe1|M7iA({`Lmohfd8MH~S`#+-V(puM@Tcd-lEyn)2eSi+gnDn6&6eKBrHTTPen!K`$iVnBnvN zh4gnn(mil!ll#%et-FfbE@M*^U6v)=F1bJYs$B*(w{gz@6tW%kqy~(}}3C)(L3^7m)R~;rfugVCF1*f9?)`NVyV*Cks&bJYSt& zo)_+0^kr+Eq$|U8Bcl_SsT^5ciMh`ge7asd&O$tX@bFywW%BDPZP|%VFRUMpNj1MI zKB(^Q!((e-ka@}BfZbE;h(PqC-T6|?W>=H>nFnPd8PqdCuWd=CeRl#M;3Z~Vzy~OS z7j1X&(QO9Fn;geX^szuI-9G>y@Vs^xk~wWV065Oi$Oo04QE)($cbu~U5 zryo~oLB0mi-+uAZYhSApd$!J1IFR1fGh*1TO(61cpQ2x1SRy+K>+tdmrxidMYHaDg zNYP!TySENC$qOhA7CxpG1^Axlh`azBSX{@$zMU2votJO}Zy3~~zV&-PPYWtmw9FrxsMIcCYGs+nq2}_=D_JW5FxT?@g~?6W&m9 zPr=KzaXh!s*4P24u!ZuPhmKIfrjMl<9ZxSPS=}J7(vDkx*p==W0#Z&PgI9SIce+PP zNkPXnwI>WMAInPVO+pxg43;*irTa3iGjvcs1b5NKfy1IWgH%qvoobhmb` z1OukKg*kaB^%YiakPBf8T|N)@^8t4Q|LvKQ8c6E4QH@J{DWHNqaQK}|sorRF0H(?`Q zFwZ7Vgo%c%|M7v!5olMF$l{vW1n6S1;Y2*c@HLN?qrAQ0Mf}WloBHf$LEG>uHd>?C zKL>pvRa|Awf%*v`7N{~rLjp0>6jt`*F%EIdp7~{m2j_;m`~}tS&##z7>-b5T7cPS> zWAyKMEgvmj#`qnR{hl@AVD68ZvF!ni2M6(^ zl(c)?k^63>A@j&NRzH0aQ6IUXahCv2)Wr>zyN%_?3L%r|=<1q@bwQIgc&q&j^SCZ* zkfwb(v}ILk&d|163v3({=Qz0g26k(S@8{L$;2ZhBEizD>@+&GcK>d%g9zzs#e9aT8EHx&KOkqT+- zu;-$?q4{_5w3EI*=|u&&#h$|z+^@;vfClSf$%k~g%9l?1;``vV*ifGBCmC!g%RE=F z%Ja2L3jDzs2uBxQ*5}@mHTeSD@pkF(p#|5>~`ypTbhLd)6Ww%}jcYm%ln|QUF2vROnkk{3bdpaB&PW%Y^ zwui*Lp>8v;jIP(u1#af7OgH^?RW{2-h~cdKctQ=sJRM@27K05h?;get48l1Edjg+Z z;}C2e(mgvs58JccT1$a$0~?~gd&h>O_$zxHKm zqh>wD{LM02VcVUNN84@+%P|26m(R($*=PPjpN3v}XaU z-aLOSVs%#*>u=YNQft5AOuyGV$eLq1T61`ezj)q_v}fkPPWB3K`fhOpB=4P!=On!6 zYkw@G?RzEbdjDFXD`)5O0CGUM%e&c`#XVR%O%{&z8rI(FF|Wf0w6t6IRUXE3z0&~> z^mT>ydzxW_^=$ah`|MQG&Oi&-UVq96Nasq?{G9+ZlD^avT_l9PXv59iQ8)DVac{Ok5xKvkn2C8d9M9W>)7$V2ciXMT8xJ0%>BD`>2wS!3 zEWY2)C)Ue*8#=x6mNuYX9N&bbdzJ9)gQvJj!xZ4*DQ@?c!=}J8;HmEU!gUo_Q{`sm zbtgN)21<;lp!*3s+Dp_JLpeRE-KeeFIb zLtk&+YOH0<{PnD=n{L`-52SWTzWO6wY9uQKc((H%E*SVgm+<;?O6I>%s=5O^OQ+}B zjU3x>_U%Ewfq$;MtgvnS+)Nf&KI7cLAc{NV<^p2zz-cM-In{1B)jB>1UnuRL+uj@L zduF3LIL$shwoQ9yAlrp{oFp$^2IY^*5Dzo#El{KfajsDN4W0|01vy+@VWw2wvdkW#!tdFv%8+q+o&1wN|9VBu^f*3!YT=J$d8$ z4SOxm%IWk4j#mY1xw%5$J6ty5x1BG`S}6wb)!Lf!d)XKU5+=5nD#Qq z?QU`I379C~mRLCL9YKI^9}nH5!eYHky{7c^KlHt)Qu5k2R+J9S8#YNtlWU|OR&{&GV~xaF7-Ok*Q*xn$Q= zoZkYd5&qG^9=nk(tUk$vR!YbIChhK=WQF_s?@>(I7o}1*fZ)oJ++kIlG zCEqYY2Cl)pVKxCQ>|XziNJVMfxA*nsVmHUR=!C3#dU`i%1DGZ(sKki2{_OXgHbk=# zkhD#{?BC-Fwb*Ug2TX&`rmYf>S{N8*Y9+e?aJwV?vD?dyr&joSx!*``+bGgY>|I@< z&abyCfO&V`?^vdOeVasKwvN5slCaeB6BWL&7n=OdZ_kZ$*KEVG@Qg$o=0dxTX^@UP zmTGp73vD*U=SF#wpCBH?Q{)ZO#RD!_+_{;L8>!*T7zU{g)cE;AnKr{WN~B-zp+ov+ zdnKryBo$uSE;i6;uu{TxI^^lhX=8bCpebG32WhbuH*Yu&j9cAxDFwrmq(B2 z^W)ycY#o(;W;f>Rt$IdDj#YEzkW{3!2AVqwzwgDp^V!yJinOJXg><78M#^PSO+$Cp z_B#3&vci7H!g=YBHB#T<gjcitZXW@7n07pXwPGD zSU9{9EbQGL+`KQHr9X3F<yNzyvs+M(QB?r@wvsqJLC+DR(DM(ihIDlN@HOo+`XtujHoBJ;HIY zZDqTXh=sk>!d#t*1~O8AUuDM@J={N`uyXh*t>@Qt%Efk5uG(|b`q447 z!70ma$+QLk=-+3DWksu*7?I89eM0*@WcX%QmlGjwY_b*==Bja#J$U?`>R=M$crb3;RS=Zt+Lq`5 zkTX+O^5m#j7b-3STXuO?oI{YatJ?XI7p;N21;*KUDgs!X4I#X6ysIbpOKPjC{B1H;)aNp)C-GtFn0% zsYFp&p&z8~ffc%jlmF(w)n04urZgdSvtUg9d#$)?NsH>-gESTOd)PatU3gzjZ|gUc znErmQV;naGahqj}A`*<$e)(a0x=DY7vL|rk>^i`%04DCOTBfCVtQQt)x6ZRKV>xOe z7t2jMp(!0FIKH1YJ=lmRZ*#r04)XS#T&Mnie3*s(cJ6sj_6OE#PbH`CU85nnf!1j= zplaLzq|P&l&#!B+aB@GL~MIV8V-!Iin9y$+{6 zmF5X3xK;rq78-wJnzch=?KK&a8xZE+hX`?q1NJ;-53IR0EF0K!O<^i>-xNSB9Y=+q z^ehiX5IbNwbo**r*w*dB7gL&^?x2{2YCX)~LS|NjYVdXaqg5MxW-Ya%rxBP1f&Tq%4gkX3y2JKh zueiB@FT6ZBtZ|lWj2NVcqw4W<$W))5IIIvU!3{fTtAKRL8ZZ)mJJk1pySR#ALeP#O zwPJpPL!7PvllgmaA(=H`+ZUnceVg)lQW-LS`{z7M+5wK2yUDO~;L@K(4e0~-($e8S zZt_^Fp#aw9u@D@MbAyY?R*~VwF0AUD-=%an0(#d7V?C3AHNS{Jai-(aXe1`^q7Cz= zkoJ{A?6ot?jhZ1Nn)&iFuOPy8hsfml!m-YJ`6?-BEcyxC?govElMNIPB;;EN8w?2* zOiRhnVb^=Ea|fZ!{W_)`get$NjI*wtj-!IGWJfpT$56Mq4>)Nzr$~>(z+)3O^}gTw zbtRO^{vCF(*snm9mvQhQ2-&YgY|FT}+f8zWptHk_1%bLdjaw0>{CKruzJeE>an?-I zH%$3KzFrThSwlE)j!jC~2v4@ZNv(K}z_33;QOETZ6h0P(Bik07uI0XpgB)(HYhmQJ zS=WJvcD#e|V~39=y*=J*@hE^Xz8QAW&XxP5ZkqKF;8|!jx9$ zZ`*~DI=)e+UN)N!0U8gC^X@q)`i20p?=Z%@Xd`;uY@eOK5+1-L9u1wGc3ww`XcOOzds{ z57OCQu$xDgFQZ>_IaTOLP)Egq4?IM(vmMbwawn|lhBIRI_Zk9+&%TfXWMZ3JIoJ?j zRe#Pz2Z6vLIOHG@*fefzT)**1+!KfkcIk(&k88{(mxERQtrHmGgT97=z%%@N6R@e} zz`Bv4h$k`Pf}d;6fsMZGAeq5PU&6T08)iI3j|jL9Xr1=Z-jNI0#j zG)LFB*Wv0}-thoizGsBP3&d7@A=wAE{HXGR_1;KQ^RCEFdbyjD*4(*rYvI?$!^OGZ z&qayk$Ixv`&}6#p!?57z5^1{RnAK`4je-n9W7xnW*POVr()JpN#) zUr)Y(ojypM=Vn--3*I@7XV+BKbZ-Yy?K+aM=$l(d#{~@WQlIMY<=ShW2C&0Fcc=rq zyD3xIu64N|x#PJm^g5bgHWzDV9NvN5+~fT@Be*-7L$BUn!7Kcnt8$RUCrkOe37?z% zkO)HuhH*n&*;-%6-Fq~QPx)9?-gN@#|KI=c-~Q+S?Z5wD|NDRcum9zL{qO(VfB!%K z>;LKhDgU+pr~mrD{}259{%ibC|LuSLfB#$gzUO#@HHioA06C3zQHB;vJdhEw{HJ0} z@j&s7<+tZHACxaZw}8H$VK8ao0k3es4~EgYE|%X_SCtldg#R93sPMqhx?Zg>&xtBU z0w@EgTWV-^@P@52s`4$C|Fo)VV~VpM*~m42t!jF|c|05Q9^nDUzX*yRG)@3E)4y02 z=S9RcJW%H7TSa%UYsx}+Kx=W4^DOA9Hhf3D>di%OEAi$ZV~`yl4BFa@T>tT4@=o*{ zsjg;st&`sy!wThX0YhnD94$n=p`jb?#h8Qi@B{0({KeaUJ}W>baty30m@=pQYB*|w znY}T#>gNn8aDL>{_2yT?r(Uh=k!9V)CD%_Gd*V*zG@J=+RE{gqMejib>nnhu0nnbN0- z)@7o|LHqZhU#Cqi+(ra*?T@kaWZDMO=rDarSjxyx@?6wG>yZ8RW2=sbENGQlvbSH6 z<>-NYc7G3+z0tM$HOJ5})6E^rsOgDfCoqZjU{Q4bHCubMEdd*~|8%QlNiF(&W7-=r z+v1Oo7=u63kdexNx)v7WjL7bBfPej_9H9wa9yuBjvAo z8ZoA%2vhAzp0WMA9$X($6==78yr2^LvPl@jzBt#)&rxL}=r|@ry22l=t;Ea|8dS9s zxR*!07L9AZL6GP{NCW&M=NG4$sU}q3)c5c1u0G5buD_sdZGK(#PkC0MK`LNHJTK72 zHuk4oiu@5HmbhAEP>2hvV$|9|o%TwJDN}W>6VUg6^p0U2pk27^TANG*eFDQW&+o#^itfCpEfY^^%J1;3@$MDY7}f5a1C-kR+3nZHsOTSan;qLKORg=Xi; zr_+G>D)fSVF#`M`Xt_^=bJzzjfz*EKiDr3g)a3cAPfyD4raaIww51F$Bv# z>EeOfC!@SXgZ9BSg^NFpi>1GH4i387udq3ht3u~cmmo5PU3t4!&&9q{neB6nUlm zIDI;|cIYrPbu_|0xz|cDnPHyv;Jj+Zl3Odp47Fl)JB+(dpkaaWcteHC>)_7keo4vn z!M@(3A{~ln8r?OLL-paTx67znw6EtjN$TCmBQ!J6SBr7lc{gR_L4iZ`um$*ODi{hU zR;x0nL%|*$%ky(j35f>CN^bff)lmG1ts)z_(q%f+&|$$4?1Om|xryG=_Cmf_FRGuy zO-Br}RA@PPp|u8h7tqa5EuA2U(d#B|*aL8``KAWy_AMz@(mFDZ>kDlZ#PtP9VJa!` zBb8VMEa&Kfox4Sn+-#Q*s(24>_a>XCz^?$2gIet?=goU+7O`{SqIw{lY8)57NXrv} zfBgYy{2rK%|DJP5?rm0imHFEx+BU|F=M;$AZ|KD*r>9jS1|sN-eWRmtN^^}WG&M`| z!5ygIt`ZLvmz>D>W*?|TT2!r-_6qOsSMWowZJbL#_HgV$vm2q^lnC=GSy8RF^k-Pr z>^PzZ%YzHTgJK=+Vh8KHZshg_LYZ{TXiXvY_R-}ZR=J6HbwwcH ztSPI-;E|DAJ6_b#VD`@nn8teTCIkf9CB`U*gRI*Uqd#l6A<1Ef+Z);nJ|V05F-0Ih zJb?Ibez*2SnkWc~qId9S`_aHhuaSnOZfRb+uuyY>Bc{+)}ZZD+s?!$HwLGu-VuZL*(*hV}l7Lu3DkxkC4YG?yp^p z@icKaL^;|8Tm85~mfi4>r&=6Zx{Cb(gX+|Sk_MZZt7~X9P)}{yX$@>&L$(EXagknC z!sJoJtn5b42*MXThX;O3Y0b(!vI5^`To&84#}FxKmwK%uAePRj4EsH}9M#HfF4i+y z5gxRQ6Qh>5dmk24hP9)#I2!%tMN}Pv(Z&Sn0|pFfG_-JFQ-J!p{={B;P=$Z>>uk}8 zj);s2dIVR8A3YWS)qbO+BG#AmF3{Dt&n`WDuw~f5h-(hahY+)94~9zuV&{mS>tWwQ z=WfHRB4OD!W+3r=pXy?jzBthl5wv{WZk>#Rvr|Ub!((W?#RVw@!i_H+gNk+2g--(F z`L=Hwl`2FVTy^w+>Hi{EgwkAkvEEc^SvQxS-hfxH-KTVvF=9;%;ZwWnj)E0b*}k>y zg|=Ov&{RY_e!yxWK!aUv_p713*`hDfIS{E*yi)=g!_V0CC5DXnvmq%`0u@5a^v2Y| zLfy2cafzM;7{Y~G^pRE{wW^3&>_${1Vlhx`#u1)L_CRb{ybuvGGLqdc;6*1aGyRxO zLgg*Z$opcsN^hx~YnvL%Sjw?X!1s$S2>-kJ&()l0mlcMZG?xntLFXjAbke(oE@7j` z3wQahpvy}N243Dqn3|&})9&!J#NdGmV3jAz?}1;Hv>-|`%ocRY-e@i@b6g4&ez$jC zl)`Lm;k-si{62N;n{(4S>zne~0@$jhT-Us#BFeOd$?RNsU@9DGSW6+$^ty_E6mhfC zTN#!@!N&`684eO!^@)6}mC#wPN~%1d(~{2AwS1vyoU zWP6)Og^l7msj(Pw#}wpPu?_dB04bzVpqem-cgu!qEECL@jqbQf4wgDPqE{6r{btd$ zp}ew4RSC2Dt=bmwG^JOur8n)Ew;fg#BI@kFFnH#1jZ&@-s_FaHYys42FLakx?1k|! zcyZvtvTj=o)^=gW=6@a6%jt#v`M@8Q@Vn3k#c^R+OgF`tir6n`(aKo1Aj(u3IQYy@ z=ja=Rd`^jvT?_Tvp#2StRNL0_bCVz~d*EvHPa6gaR>othg>f{dFX(zuY4CKlQ$dcE zv*H&DQO7DedN52~U^@<>HpX5=Ze#pS{0E^owrur&sW#(UhP6n$15VNOz%6zfhWgCW zRt0jg=y+P{=1;CWs`Jx>df|;fRa&cQ)r;0)^>ly4RRHZSkQ!@5-Ix+&TaiAtk^oAr z_bBFl?YE#mmmNixD@v*jtp;Z`(4N3>d{%(2x~M{5bPt%aHuUOOU+o5j;2e|CR74*E zR1x(2m&oO(s7+pXGvr5|Q~_e7-IeW)agUF#=@}-R+E9<}S2O$I#}i~*lb*W(2httq zG}abDgORgO`t6tMn0DcqN3ELkpY05FbNQCEk)t2VbCk!EK{Nr}CsgUWt}a~-UnZJ1 zr=L5BmcVuqPvdiQ~eYGldiK&x2Id7m8#Z%_2K*vm4=FjY}Uranpsy z4)~Coz^Vyp-!>_p3iQ&-7kl2o6V4Nj3nF#I1a$o?jah7r@u(HVq1N?7{0~5pFK!O> zQC=Jrt9I4z!Ufs`I|Dz-HNc8gJ2mGB%8>}z#r!WgXdK+ShK4Gfu8!{2laBgDq=Df|Hz zLEr>1cA8O8XGeRUXPC#No9jR#VB2;qHXVD2rICuzHapF-;!s;fAetsz!+sA;F7=gl z9O2EFT<2}T~m^aL{7A;ON4i^*pic)79^#PpPDcW-+V^ThrZ zeDPeOZQTb^$Yy9wP#qPRGRv{)9(poO(qt7dGuo-8eeXdr*b4TB8)fbPsgY}1E~B{* zP|>;{?Wuh2fnNkA6OOJbtILGrB{$RPBXmZxYbo~0g<+Efj@X$K`rWNlMQjeVoM6cbd7wc0rQJ>bWFlCB^4jb)N|JgObzG!yAwFLkKpWu!2 zdk`W3K`yiMh-D+pW`u)yAp6fl9KwU@<}kJRwClEFUrdvIO@9NFPVJN-1~b1J)m#Op zN>hZ3W585df|0Mx@7kg`^s{uk@!A!6mV1xax`i=PFC39Bu%*xavhwH0KxXKP|Qa3fgSL}Za zr4!t!)1QCLVFNpJ40RJ;)4`k zcHeIHpqka+E?clP>~O%tJ%5<^CHnXgBe5JV`SrPI#^3#3+M{X#s$<=q@R7U zeV_0)SRL=d#opSaXu^Up+I0p}S5`tk=nPq+UzDNfZOUdz3>8<@Z3eWa2PLkdiYux` z*J}a^{9qS7H3D&s(#tP38&D9YsZ}e6$@hh;q_&rqNOO++r^R!0wR0L|y(^q69dOOb z(!N=quCuG}bGyH-b!GYWo1qzaP(y}Y(0rk5*8&b3rPKXdVqt zqPBK>DYnnQPt{nUgilw;!Q|OCo1Uz@oK|P>)yQ zYnWK8I)>jWhYcsvhXxaOUg*{D9V_GTlWG^F+V{<6qZeEWCWCrKt_Dp= zUG_qEKe=TkIOf~Y=x$T5Ry6_mg*9%fQ=$pILXqH^$<&L}JqNH&=y4HTu9?3F+Yaq! z-8#q50QvS-V2JGfq~8kvZcX|W*+Rl1(A_--##}$xs!?2SJVuv) zo)EE2<`S+8YMkCe>VpqQw((*bB!+OzX<<@f>RR zjR@0uHb%c8Uh2oNjjmg3g(Aj7d+Y_5YQ+hL@;*aRt!_=%NZ3FqN6c^Zm(ecSOJIeL z#r*r1rg$D32DyyZ=P*9S76xO!%~whfnwx~H8oBxf^RqH;)?!-~%R{Mrr4dB+i}SIr ztCJ1)_9#@_lLn-EIWzps*Hfidpr+Uh)~@aTR>rBJ;1N4oHvT5|ysjMg^tN+;91EBj zIvX8p#X~_V(y~n3sP@J214H6B+|{=^6bwD+ezIvq=V$jPTQ_h&m*!Hff$T{H|b~FC#C_AgYEAw zXghLjqdoH7M)oJC%v68^M~a#EDil#8o=DI{?I7zr7?zHpNpbR>zIP)^S0ncyrma2i5G9#YXo+MX1R6u-Y^< z^QskX!i8K}eS^YD-nu37xUep1U>fS!8(U=Eu^?M};J)V7`svZARs4{;uNi{oDwJQ- zf@st#Smj$_B-4eGV#^T9FSFg*_S&|mec2(%%ybE&9k5ao-`qC(Qf2?>?Weg3_H( zzo-*Sr6PntlP=u>A_#O3rCzWyfWX4k?Lo7EROqjbNFb$jrRB(<|RewvoeDt=ge z)hfBJF(d)$%VwIM08tD5DPb!@5@eX`Vu(u!ZEkk?(XO3b_W$wt4rxGE``l!#CIyt8 zqX#!G;@E?(AavJQR$yG2ldF~KHmoL@9bpfNU#%`Uuw^dAbukBxoz3=2bFrk`15?-A zJ_Y!dBug2>DuN>n226uFe4R-s2i}z-tQl>PB8s=I42xOqg=h_rn9^WvPqyZ**vqevwiLHb zm$QZA>WQ#oarbz6;#5Y6%&;zjNjE|X`!nNPm-Y`4BQ0{C z{drOVu?awCSyYAn?`u#2nROG)F@(cbq^KIfmiBv4UHa86nMtdH!%Brs!mTg%!1$Z- z*zMLedEr*(t&%^Fu}I{qGHtrZ;`!%|t{$u?X@D^(rf*bFt7RJO5`$poFtjfn1+;UB z`{{*t<8!ps5v1Z#yy|#!KPata0(5<50Mdhf&mYpgI$nuB=#Bv-mb|Y&vzW;4-U$=N zclRA^->;j+*FM;GZrJ~RFZs0NVR$k2tOh}dDp4}q7jUE58!o_@1pr`L<_RbAT(DsM z?@8|EpZ}w;ZcVbrz7h4y7U?tuX;T#gPs^^uMjyKznCQpER_0NyMy~4FD8z&asa3+c z0t~GhFX4>KIf1hQHOu(5PQSg}+@j65-J!$S)HV>0D+})J0Z2Ob38hs7liAyK;C7zw zQ~b)J7fyAKVf|pr8rzSW(&PT;HlycutXdgv=@y$}WRKQ_&aQ)tlU+R}+yMy7BBM;P za_*KkqrfS{Rq5*7DbXjkA}^I(7xZs+PX>8m)kCGNEk%{s%9V`uO}j8?-5zw$ZKpEY zyyA$x;IKoQQwO4YUG46xB42}g45QA#q<#-ZH-SX1UKK$(-RxOS50<0wSv!Y&WolC& z*Cq@b@Yy`>Os$%3;}utDOpd{C>VtJ-i@NA(UR);qA;iX!I`qc%jNdlA`#Ra^-T_-+ z4{kUWQ8*H5#~DPtOxGRU}kQ?(eN4*7ZPc8kyx7aob+lej2IB?ee{-D}6Tm`<^XU9w7xRO4DAs znXdK5xenu>x^Zlz+EgW{U-wM=Vq89;MxGnOv9thw?CMC8)(Syzmhs_X4{XMDvuTLU zvM{-iqFF<5mRT&wBpZUW%$Qq5TiCd^WJ6?@dvB7yp44h31GCJvn%wI5#3OD#d!w5U zxB3IeCKD1>W9U|}K{v#1jacV#rzYzcjA3Rdw+F7sv0hb=-s@IH^{5qomjNiKrF2iNO}*N%oDjuil#8iF{CFYu^r4B}WJCa)om z<5)z5=$jA9Ug$TM)*>5hOq60WogNsJln-c~+m-j)0Wc8j{c5zEZ*);;@L4to`!0IB z11(RG28(eIs@_KIf73SeKG|Rtu02GgHduv691nOY8;9X_y;;io%W>NAE2s>T4N2-v zuy1PmxvF|(}j@3w|>njJOUbgl&3*sG(DKI+xd9G${Wl;jW*t}H(}y6otqe8 zcd$IEaT{Ekci?+;XLuK}B z_p55w6SY4zYq&3V)ltVx2HFAkLUp~XZTLRS?qI_|UXYmT7#<+P>qCRhwAtEJtEMNt zY(_T^d{v3lJSe=;bGS#5n&^lf#VS}&Eo%>4(3YXM!DKpu!lxlCf(!5ViHAfqu~H_w z57E~RHdMDTi1yv0M(-=csZ;whD7_Bz=y?KK1Kd>%ZD_EUp1{%IXkB|4=rOB zEv?D%eXhq}qA$pl{cp}L0!C^~>L8J@h=z73$TgnUp_tcvV_t_6STZcIc2;oUV1G4v zKt+Osm@-Hol$X!WzG!|jC?cuRBx^x5;%qR=nqaa;&#U!NyNY|>(WkkM;#VGZyj)O8 zW60x5p(g8$+Wq*EoXWHiriWJ{b-GnvU8~mzRp-EP2#e2#yZM#LmNo3HwhV2+9Z#<> zbpw1Tav3yU@9eQ;50^SiOwjrZ+8UAZA1ziVJzo$HS1bbu+?g7=|bFQtscRy zR#scst=I=QQGvaGQR1u@$ThZuGzpJ?TN4rifD=|?qpkw+SVzesOyzG+rq72u2A1%Z zXTfhk3kwTz_UggQS|l*Wn(kX{22lb!FNclZ`1}s0J2Z@~7QCtp6^yM~yPtglgT5)l z)XveJF==#Qd^IDaed6Gw;#@GcdhnW-$vE!spi_8Syv*$x6o;q92N4*v5s*xtty=5| zB&g=lU|qGiR5kL)DRz*MVOzCruWJh82!b2=kG`=gHkQlJCfTbR;|gYw zN9XpuZDPTbYQq-f71&y(vap-{+^#?OPt2U|)1#1^SHle=5P8voG*u_Tt~FRuZ57%F zxQ&=Vtn0{>IP<=^iL3pKTmU9)|VxUvma=ZiwS-Vm^Or$mb?`8-sa@add`d^Cf zNAC!7(w2aR9$Bs)b?ZTu&**!jU7L8WKuw4otK~V>d0Bc_urzJ@L zM~X96JE)f6df(r!zY!yaWz#aF9jnm2t@f}7Cua5gJ!mNorqR|JdkHW16KNAujX}Zk zS>rIbjR;EV3a(WB>^UtV zk~ii?FtFFI2g}qWP4WuW)Otg;LZ}OZIJDH}RN@bC!!b!*58Nx-)T*bO6<})ho^CgD zlX#F-p_yJ=rvUJ(Okrh1H{1zMQWiAfq_y}EjbhR8+LBOvYk%mRIpcWfh$@)wsA7U1 z!K-!`Y~fd@OOf@{gB9g_`J>%e){a;LS_KcR24%W-u`UPa zV*hS#NF7DL2j&tgLwZNX z1xvosM6VlYx%EJ4e5$<7e)RFXyy)UaGI8Sm6_3nQNPmY7!K@#}9-O3a>@X_GC#3QG z>x>|Jr$PVB%kI%Ps9C5Z{WEK@WlO{Z-?hgdZ10)%q#oDsG>uLBqWbYim&klOEE6@7 z{bGt$Js3AH=+XlNo^?Oc{ez#xXJ=lcn*D!`YFmw*o{U-4j!}~xSt6#%$a-OYep$Dby`tK& z!#vYs{j108Ux&43Jzt#uDWm**UD-k(tuv$kgm%5ZOAyIAj5{N^t#!iWY2(?5L36GA zWBx#v;#b7XD+O9G4Y6&B^H~65wWR}|WD(06)YGn^thx`4((!OrV<2aRw8fxZ zaP(%MXG`E0<@?N$O$j7=`Am;m$@Y5D1=UNGc_`97gu8Z_hDIdkO%E!1c@U<^9k2Zz zhNDCy@bvrQ14nG+eXf@a$s?0#hvCTJZ8fN+_{~XB6rCV|7{vM;6E&*3D&aG_Tr6+Z zLa1MzH~z%)+9-EUhw(_(Chbw!j$%h(ceSfew-UDN<>dU@VN5cSLT~&SpaH&!!@+c9 z7G&))n2wHN2Mj&vwhPBnv)YL6eLosew!vi3%LVK7-gh%0+Z4Gd)UBgGQAp7*Qi}f` zL?HbRz`tM%>}8k^vx)EjF0`fx&km-RSnlzRpghkuAndIU2XM zlWS5hdtPu!JwW83wv8BQIiByHa%u;_92+sThyXC>iCcyq3ADC%_>5o|x4`j{m(CcMen$!0EC$0M-c*t`U4v ze-EZZ)Kt;Ot)coKmmN=vbM(YhCp&#{y}D>)h7yeX4RCJMfOV)e?M$uqU|pXcc8X~T ztd){ipl~#`xkyL*wh4uL(Nzma4@@K-5*45el+THj+#Sk5Q^BZN^P;FqFzyKSSV5qK zw$S7gDhE3vJ+wPCbkGHwpez|_Uc05#;2p|8OEoJtGVfJV%N~3xs z)rvK1U(1Nr+1xHT+2C!DAJ-`W{gd{W$Wz@PSWP-Jg3fpIg@5E#K`hbRVU>9o?$GUs z1t{@ShbqU+LmD^J8MwN+dlKP$e^>%yzE#3xaU#7Ephai4-w6_9_Q18SoH!&y|@*ta0 zl%~{=0~msyeBBk}&Z0Lp@*$)va)&3)^eeX-0)=?mmq!sPEg;4)(;>{3q* z=C7E8=>WDKj23r;n7QV^`}CoM!Rq( z%|>XOtKV!Y;h1K9TOG`5X#snB;Gu7$sK_(Cx3)UYj)soW-Dcj6Y>t3S2K#$(m48+A zaQH1vbAR%_y4j0knP{v8n_w5orYCYo@i@=XuX$Sofjn_I7^*qV4CaY5UlWc@zmO{G zXLsYZe7pv{Y|KA;s$)Z-fPm1SMr**&#zZsK+02tu4*LUM zHZ~Gn{cP^~H$DwTJ1$aMzo1Vx4{CkV4J@`=zxvJHQ|-Y$Gqs-Smowh!G=PX;Nh-U2 zavj#225)$%TT{nwZfPUOh40qDjEgV3Ri`@u%Y}XrnLu)qHR`u-E#JF}e2UL*FSsdK zR`t z9$W>ajwb*WG=m4Tbw+1Z{;S5I> z9dNQBjp4~w1V=LnE)c>K$EbGI)P;JC>WPw%(alu!*2vn;1!!w5;k8obU^k|HGOyZR z^l}`RVrBU9*CZ0(v4t4}aKL#0kb`b4R9(v>WQ==dA4WSj()__^#nz$7>(;833nvw^ zvu)GWhv$P3SAA*aguOK2bRywe{}0#YNo6t+;BPu2e{iBx>p;Z6rSH*xLdd`Af2~!- zG^&9Q!0p6rmct71_+c;9J1#5eAlTxGZ!iqStS0Y?(Z9@RySd3U9(IfEhnEK>Ueu#Of@J?x8R@xD^Nj0@{Hbtu8J z#A9`r9yoJ%+HDTC1zYjkTi}Zr-ixFPImm z))hkjEvuQXxPuAjObezq++2<(apN{=R~)1J4G)kgINNa7PYqSO`tD+%tfbx@bR_9W zT~w{7-NQR<%Hc|)U|s9kFn*-udxH)aC5S@^ZWmh>()xe{hHZXTF|W~(WIVo`(41F)zfI5(*5sMwmiT`w6$vXjB}$e}2Jtcfh+rW_9rbI4?|@u+YuPjNdQ% zcf$T;&c7U&2}@20P@PPb9dNBCEGC9|N1C+Of3nXq>p3wIoRuv{xS zRKSaY?P}CIc2-bvI$<@>wd9**ypy2z@1XtBj$y1IxruA78Dy)K zu?^2c*P6*|tv=CM;8v>xiR*9z_THVp?1B4o4WqA@Gne6P*T$$YhsjH<;eA;h?)PlN z*9_g!l|+*;_n)B;Og*^_jw05iKFz#pR4QD?TJXu8t=@1v%}Vp=rB>DUdIRJ&J~$hv zNzq#m+}}=>5JuRXJoLhFyk73H3HM0tAaczKUd|d8h2{y??I|{z9yl;9Z{CxPTS7ur z2}o{G-f=Mr&%z?7+H^cS{phOWxKyp%+Z;D)M{IRMZP$X2?ldi(I{{9xZejEBUOvIO zEjgrSnNER9Ga%j61n+hPFnv>8j-FeU6qn3-j7@_01~|(}&7a?@?GqQ)m5N|O_h+cC z91La@HPk5;T8m@eYNsJg-!4~L;?O6RcTt_lSSayc8Du8n@-3V|90Y;+-TFH9;Cjg~ zd&9Kj79KPis~-a4CW7@1TSjXQvH8Kjdm<9wCh1cV@a{LE$G&i_zq-1n+uGEI^?44O zE!u96gD?Rp8R5GGO;TIiD2CDCt9K2{s6xjacen1}*ju@PjF9vk}W;Q z8dk-XRINmqcFluNt%6F^PDSz14c&2oiuyem7Z_0V`nQ7OcOvTABcZhL5oK+n&$3rM zNrcRw6EV_;fhg{@ce6Xc=3`&=ll5({8&aSWjsw!$44w|xSJ%A__oI55U zhRw*Qc2>{0Sgf9U1>~hNssln8ZvqA}dp5+);J+3STo$sh848IY+*WayKKV_oVmcSx zwTd2?#a?R2Rk|@uc~~vjOU+iIDt^n?p!7vvkc6f3F7K0kypTc7xY87THU9R2S{@<`>i4J*`aN)8EolK)yYYI`RjzB7lz+scUDD!SR7CeHSZ}Jtfi~8% z7rJ9>YcksNit6@Yx&x5)1L!=qldMeR5=tbu0M=|vVrVeOaC9myiFVTxckcMrZa|;S zXPdr%w|eFQdrEG$U;!}Rr@@>CAGdAn=C!V>jReZ)?mJfH@|aE=yJch9Z2DZ;Ao!%k zlss&K*g*)06+>Q7+?$uJEs;~Mv$wuE4%Jruf#=4NSLR~4>$6)e=;bY}Py+*y<7F%L z=z%A=moT`xyO7(C?kol| z0=J93zJRa*2bg9t+zT4*{!Yx*`^6Wv|IaljsGs9A%d_4ej;7Kyf7Dj@r=DJYT#HT@ zJv<}ZQWe1FRTb8z=~YM%zo5W&j|i3dQZ#gXaCe|8nO7uMGjUzDBw|{*3Ot&e=tCEz)+jdsvf2aB;jMm+>uM@rp#_z#B}1b$ zw?;9y8L8`*CByj)(t064#Ih0V@M5Bg9rW7^AtIU(U9T4L`RvM3_28Zz-9A|^dU>fk zy6P>&kQjH;7DLF01=EOZ0u_`&Zoy{H`IALrF@QuDCD9jmMlC#5pWBgbFnafFL;Q!C zCbde5nirPTJSJ}rFW;Bs)=DSEqc zU30%KGJ;G&Yc;>4$d0oZa?wJR-|xx1P&xk5a;=$K(Ht{U`(m{deI^#dE^0V;R=>Pb zOrCKU=FFuUkRNGekc+NIRRMVpX^%)kXqF z03klgfc|?@U8X6jWSgE-(f@0OCh`J0A+suHW(k+<#MtE+FsBBVM98vqSVB=gI;Io|!epkAQ+_na@>3b*8E`XA2;B%??>{QNZBY zrE^-L4kM)fvt6FAR!6((TlD_*WBaT`@Gp~_>V?f4 zswjJvmx6Ea1SS2hMP-J4?$ir>m&Aeo6+(X@O!`|@x z#}d7Exe(xTXx_-g9YX~+QgNHbaoB_6S2lgIuW{7BFpY6n729ETN7HDLk(eN*zF+iT zVMgz=9o>I#4f)<~(XavC=SHgNlanLLeh=Jrx7Z8y<}1@+Fhin-N3*4^Y+TW62%gzhc$!{7bqBr9o9bqsZnZP9luc}Ug)0mI# zQa>KNCb__-W}$>u)TjBgFQz9NZW{YqS9I6f%mp4U{+r4PPyA<3st25OmD&_=a;t6Q z2Jzb$Ga@`~c%hq{j5dDlpQnFUU%Q)Hm2+_ecFN48BAaLR((w20iX@VX4!G?Z*X`c^ zUgnM{LF@P6`V0&;5PpF6hK6Oj&Zb)n=Dj)Dz(EoF+}w6`)E+5aH}iUbPafQGc{knE zQl%G5&URK+w32(C?kaWHZ}-~NEZ1Dv#;F!YX*ZCKG~brEu4_^48jU0yKJ=Dn!2b7} zR#gq#kxgw}_DS%NKR*1q$y6U4PwQ?iI*y@jEFMm}?s01+EDw@Z71wqtjrV5GZi`MS zdf=K2>Fzg^c)R1o)RSi4NT;*uqkEogx8alxM3=}7i)ksr(|*HbdQ2Uq z@hQi#KtxwJLMz^9(}Ef#$_)#uIbIEW&`rS-w#YcIYCt_zKGg z>c_w>p?x&B7OTI_7`L~fTeM4y{l8t5x56D7OH041vw(Pc2IAW6iGv@>rCEEY-)E=YeKU~65SJj^toPx9NmqrZ&_sRfoay{KPqrJkbpP`z_LAGw?0^I&HU_xZZN;fBED(G zHN|$ZSEL@g7XsRKB~*6x^QJwMxpM<8dj}Qq23)orXmwi(XxVC~8yak!wr^5heD=P1 zZvBOurdDm-+wt6OU=Y46t*6N(fZIO7Wp~4N>@uq8c6Ygb;Q=>d)Ii%dUwv!!vt-!p zoU6F8;XU`nTK3?W7Sir?uumKMws_#V`L6B!2V}RKtL%;ID`B*!4N?x6--FAUwPlea z*Mc^v3fSj5(}=gzsJ+dyyYiGS{LZw02?A-X@c&67!UMwN^LxE4%mx4!9wD z=s-W!QzT0|f<@b5j_rkgy&*^gh9NbxIcSptDmIMZmdpLv8yB=aLd*Rpv58}|aJkL7FW9cBY+)@d0y&lAt8)q)0i~CXY z9(T$GH4@a+DXxPOM*9Iq@eHnYr??JEH;IE#bCW7QwV_N`92@O^5TDiH!4uMa9)K1* z^1iC5SNqoOf#r%4KRXCbR}m62PN|;zrmK!>xHG!F90aD<;1_mEy;u=Tw8Q@`ja$9Z zFhwOaXFb+SdefQ`QUl>2;;Nu^8@EyIfeS51eQGzoJh$*E%@JZg(ftO0HdXmsFDB;N zY+nQ)>D^9osK!z4h2ijXR-{K+dKDLK&X&jcE*i92In3MY*f5M6ywo)E!y{*lnlN0{ z8meL(KX6I9mqlNya9-wU?@!m%wx-oF_w_W?IL~7!#>F8c#OWnhzx9} znBB1cT4@j5mi5^pU49Ud0^FMXwVQ@zU!*TvPkSXNiUUoQCx=$g9YL+w8a|)ht5uPAcWWy_PZYvH z5A{T0Z$c>)(?TD@3Ygrm^x$}wX01ztiw9tyQ$y&rK56ddC$NiC4Wr8;{tv+kp8oeo zyECwHq1rrv#JUba&rarqS#7ny*F;cLJ zqA+NxnYEv4i6t!zD?d&sI^S2?De&4F^P znUX?Pz+KH2g<5&6<5GnmsJ_hT+(kE6ZBnm%prkU1zltt5v{)q+L(SM42Pv2&3~KnB zN6N_g_Q3lrv1&S-X%8KhS+_wDD%JOaKFEBGHG%EM(ik&te)vlzb(%|u;+qZELSr7H-2iDL1ue1V z_Z#-)a#pe8HZNMg73m1$ONVcp?%?#<48j5Y3;d?71aWqn+qs8z)c2Q^We3sZ%dR%| zf}>tlTNKOobTOst@5yoWQ6UbWwy(>zzQGCJf)eO7M?4i)%7NNx22P7mW6Om=E&l<+ z|Fqj9>Fy~qtH>>f-p{ZH4ji0}b8v$(_|>?*J-C5n+CTu2H?dSNFdAJ_!_WgWV#+Re z`k5|Yk!FypSh>-D0~Unw8E&N(s@h?;Yn@SD^u=#q_P|dyA)_1wlvWejBxf-8QkGAF z3>?H-8l-{-XSjc^u`5JhdKhcd15-)~$LAoV#r^+CPsb6{7Db3lbx5b9CpG5BIKTvN z;kZTuW(%v4gk})n?x=H^k=a~i^ulr>!HZnkss0f2TP#&|EYC!wPFzMWch56C9hhQH z52G+;Be5@bztDVY6wwUwE!N8wiMOEeK@u>g6RH!7b{U z0?z6QDDDs@CXkka_|Z^pulPU~luOTqvwYxqRO0(nks^=Y5xMceNhlV#dzv=*=A`2H zidetLvQJ*}^k^wPOUL;mPn?czcI`*YiSf}pRgO@ckUHXQ8G9&p1!>t_CF zdCxrh(1GgGU5J;Du9+SuRR@&PLbM~{E0@0L*F z(I;&y(DC&Xkz+xRKlDlq6Rs|OM0(I+{?hP~OSJB$j~@B^l6NJv3vnscTJrx?9h~^! z@HTwuR?;@E7V&=RUgFZ{^*ol}bN_i=55>1Udk~fr*`&F85Bk4M3z_QCTY(hsf#TLK zy`>I#bUcti*MB>b5r7u-`15+qU;-Lp8?k?T=kiX#a{tj%f<3aO#RkLfO0?3cKKewy zLaXhGbWMB(_SQs$uY|?a&9m{*BOKuW*wAy(1$69#Z_b)i}3+K1z*kJuNgE zOk-nzqRUDDuYc+DlQtG$kK#x(*;s5`ueoo~CC9Ps{m=g+;MsxBJi9BR?~&(UJVF>^ z5;sO4>BvBUNjzY+@;l}>T;OQixcOn^Jwn6qdbG!qUNUwj1 z+<*Q~t8%zm02(QfUz#Z3_3YS`nww&10FNFK92gH~>PcNehyuOSvI103{M)XFOa>3~ zOO>~D@B+mro-IJ}nUNd;ZyWTVVQbRlKRO*9o+El%Q{Yn6Ph9d_<00wPp9 zE`1oWqm%?2c8O$-9Y;uZD*djqtUUV+CX8-v2hxNbm1I|DSX+B1cJNL}&gPO>?z&iEiQ(Neyh$$0LRQoi(WDe-Pu;I0vimjBHodt7=2z8XEzY3Uc-r1Sgx&-=M; z^-Hx`HoQmI{CCSA_jnu^+|p~J1HwMYL*w?PAza7*!Q{R;GBJZM$VNr#qkH~)L@rZ` z5Lq6X8)M0q9$ivlJ@NAbw~R8=1Ds{CvoRwT$dkun)Od?6Wwf*?Mm)qz88iR8(h`~R z%2nu)k^Zhxxl-t$5k~^x0dX8>9;mtUFt2n4D^O3Qo~)gkzQ5d>UGhk#>uD)FFR9%# zxucL)psI+2eDXk?5^o@-oLu(l@r*6-z6gA=)Gr-t1wlLE>RRYo5%*U8;w7TMt)c`z zSrDVs5*;q5;=m{#B!+^pjM!Yl)Qw0VrLwvY zYCMAr0xTlCf(1SOJ<|aQ`*}(K@BI47oojjUXiGnl{?prb^8Y>Ey^ulv&;OZO5?DQw zJ*_=}w4C&Ry7C~AcOKk+Qt!r>rnZd|IaEUey!3h$t&wLqE_@p7)7vMVku=~ZI#)L1 z1qzu-(<*|hF?JL=Ok(9TrXi}xhZ$9?g?9VcxYbhSYeccTKouElUniX_j4X-&?{vK{ zP(-fue#>iq_cRSVcYUv@7cJB~#@DgoV&hNA1AS^9i=&i)kIph40#4$F?_biCAoW*T zlbz<#P#{!`dq+Cmq>;%bt{W&1TO?s{PY-5DWeR$w(T3|noLguQK{BlzSsePo5U9EFBJ$uVZ`@$K270R z5$m&%qeldwgj#5lB2V51=*iydC*g zFiH|-pxsR5h=$7og=A_w?5yeko+O>|XX%c*bKmMojcLlo^XRm5p){O{&H|;<*~h;B zmTF`i(EG*K{g!5`uFo{_qbKPYDB=0AiCEe^={g7P z+=;Dq$fNgQMKykb#x2qC3ykgASu6#RYa&my#1?4LVsnzxtRV4wBGbf9OUL}^w5Mmu zBtkTMq<1O|%b-O%U6N-{XAhDZ#gFrCYWA!FKxXpzH*~j=moOnxEPd>B7|eWwLQ3&? z6Gi@{5)Xq(r`1^F?5VjkDVz!btVb*mi=d?kGcCHgP7;XcpIZ}N~G_^#h>nxHtMGgSSrq~;#@s888i0m9+ zDA7R*biQN);%O(k<@S|)x~=l30c9nDb-^AK2Xxge@d7d`)>rdwfhoRgq-WxA1c-_q zu4zvre|J3lnXfyJXZzDVBxpVglfl zqs$FtsS_)lBR7A}v^C-GRnpp<`(GkY{ytlOfL<20r_jC(Mlmzf73eQ7t({mU-NoYH z!eM%3meP`Y7|49V*ap}3=$`*C$ycEOFR3OPZbl_ONSb#b@Whq6lb;Z9SYqFh`&Qu! zaI^$n^5042285$nbUwWhG#o}9F~O0+?bg!Ut>?FAs<j%4oM z$r@)w(ne;n^8!SWZ2TMX4nwdlO?2{_`_XBh&X+eQ!(so>p>d~VIT|*@5y_F?o=J*; z^Z5()1l^K|kC@lES&ro%fAmS4i$=hi>BtEY&YH;a=k+A(AvTRp4Rfh={YxSNLtA5O za0tZf{OL�wdr$kv{3~ACr%46ehehk$?0iC)wNKX`EY=4eI60e8R!v7Kio^)1*Ny z*0yGA&>xNo28jH~3P6OfE-oeEgTlxZvRm7^NO~*8Pj^s>uPUeyznNKzc>8=We#- z1_NKO$muFG*ss{}o;wbx%Jlw;+p8j7eNYh4KcvO_N4$c--yq6l6`AJ4tW_kIPraM* zx>LXPWwJyKXoV|r>MUG|)B9;N*KZ|1wu-dzsk3XRHL;VFQ@@=QtQF41Gj`^;q<1V% ziH#q*(?su+C;Ft#3U7ueRKOu1GCtVjqcjeKbL7e}0LL|3zGQ%^kr7<Z3UP@ODYZS7wLnO26=p$ zOnyI=sRL$uA(`u;!il#x+Qk&m#s$C(s$pcByrj8cx z-F5J;5R2=XMapwG(n-XvBgatGk?+72I{OvJZsf5WJ;euAcKtv{qiiEAKcM15T`bC);#|F(Ar`BiT@E_P?!g zxJ|X~l@3mr5?Xryq;bk7)=G!mM_NLIN|=ftxw4E2Mb(UC6#~V3&?qfEI%ys%u+Mv< zvxvKXL$zXg+ky8ad;#}-$M1K`6N6)wX;wPNb|_rphzqEg=AN%1TatZ z%KfEIJ(ZX&kQIpLaW?mt!VW5waV62o2vYZ#RwiOMBTLv{GO$+0Pf49U zHH~u$&28|04t%!3**Qq5KRS7bHz38i8H(8wt6cYXmF zvXVA<>6UOLwUXqFMn~NAcf4!0vRZmOn}i!IJ3&NiC21WS9A{(M zJ8G*MaKhri112n35F315L*4LH?U9U51Fe=ks~O}S^oYB!0pmTy7qptZ2^)Mvl4QWyPM2ntGPpt{Y&nTKYI%e}Cl69Um$5xd9+6uCSVo ziw$sCsi(8%ftzV(0|+aP+f0gu1|+PR{$HsxbN_k$M1iN(9CXs)Gn>YFP{{}ttS0stBiP0pQm81M&PVi-pPyR zl*HwbB0JW0S{~@rbKA3Hc|&&W(o=aSYM@#Q*=&THk7UXJ=7DOTp&-2nQS@qHdqLCO z;Fuh_CSm6zx&P(TPFk{XTpo!oxjEpfGtxau?Tz^IU!;?crvXcTCOTTJTFXB24Q|hI zk+u|i+vxT@BHeRoNkVRLi%yNHD-C7+Gi}Wik}@v1wU$h1t!2rw0Wd6$ZA+^b5c5HS z(BL(lhOU2k=CUB#T2k7!mXx-wC0$p84|E)uk=)lCe4t01*5otS+UU8b$Y7c1ou_5w z{RXe+$a;|9GM*q%+4eY6v!^XF6Ps=`K^QbBbmOefbdPF;GmD*BB@G4RU1H;ZjBusz zGn;N}q;X%#ako+3o2ol`h39~o27PdB{jPb#?96PSA5Lo+sDX)IfBsLgZ>^m#EtB(S zW=_pB@#B4|cc-UoeKTbLN9H5caQq*coF5xh$}N&rV3F@ZiyF}em2w=so;}SPytWgW zq$HwAMDoN7bpv#N+<=`(%R4@3X{>wJ88*Q5r`ChH#R6;1|JQhRYy_`}&8_hQ-$pV< zHDDH;`1g-h#&rgLWL$?pDM+tp;TAr^HIm8gszF~Fr=1GQlZwv=2UL_Tl1Z1}Mn>dm z@F`BOXX#?Js2*)lNXEB+oN>mwdy;H`GjL+xvbM5~yBY0T6y;yE$-T@XhK3~nQZ2sA?P#RE2LM;p|kEzvto>^^y7 zkEMZ-HMfm)OK;=+*)S(pcJd<1+P@#2z*iao{etbO5zlW#I_-z~B`Ad-og|f6vS=`q z{;kcVe``STiz{}P1UT}eajl6j)O=)3gbmm9pei5ddyxEf8hpoFY(h;Y+#kJCcM}{! zo2{hYwwg2|Km;7IxoxMyTGFvM-~q-h1kdzTT+b&iT-AG`qX+7bOzy62_9Vg1WbFQt zHIM!1`R&Ae=E%5bZH{z;&2duUU7|YKhY{ll|~VkGv`koB7eWXQc{G z5+~popO*b9f9O9ATIm`%vl~o9hUAuB-^tIu!LL4TtNo?%LWo){|99)m^!QWWo_U?_ zWZVDI`HC=^Y$T3o!b)f}M=79cPQ*qVQr+sS~{aUQSwXt{>LH1 zuJ5(y?|X6t?7**&BL^Mbj>V1Kx&){SItImdD&1mfDYmCm2lvI+%rxy#vL$k+rqA`K z@Ev7@4jtNwWQ**kQz^F6`z!8=UX!0*uQ|lFL$4LrP~FiJ4*oAndBI#tpuaS5Cxx(f z>ZxMul3yLXXQUqoqA= zEt1L9)qBY!3C>Vb=_h^u8;M|;?zl9zSX+%pWbfJJ(s7C0kxaT0(Igf9Q`mdH*LApiwe)`q zRP6vntf{t>Yx|u5X`V-fF9x0Nus=Gn!9HdhiR|(Iqfefh8P$0maEP%jGudW4e9_XX z$YDh2+PdkqKz?~mu9BL%YA$`XJQAztwy%WY+Ud!bzCU?U?vWSCo~d(tMblUB34-)T zo_Klag892A=N~V%AKmg$Ak}=FrZe-jpOtFMAt%3ii2C&ofb!V2nfz}1On$dLUqw2u z9y8HdhL}A$nRH%F5}j5UZX!XS)Mw9?_cV<2&+g6Rmqt?BhVY*?*ddO!R2^_fu;`^+)h z*nG3z^dq2?m88#PyY0AkmX~CbQ`0l{% zjJp#-d}-t}By?wb%2;{NT|o#{>4*7?WZti#_d4cth&=zgdRkIflL zEI0`Uub<>A*Wr$q#(gG~${$_R$Yps7%7Zv?Gc$YwcE;U)vcPoy2uKJpjBU#fXPp6t zv9x6K>p<*`GWg;7@CF`k^SYprDDkWrA5qDBe2}hQ<4d-a@g-c20k5g_c263*A06fS zfhfEcOY7-oH4t^T13B)+tcXq+kUzR8IaeONU%nU>U=6O$o%lMLW`S`NS z&G@oqc_5`oBJU87D{~OlH8#J-d+=ajVGza#A`4Ubb>#PFZho_r+?`Z6I~X(C zSAb1fBCsu5j`K(t2iasGooL*YwWLF7K$BS_8L_Dc6qzl3ojCCTXl5J=pk~I;>&TVW z_2>2E z!Zr|`70!rJ6N<`!PPNA3N6W*OPz(ojs%5nNpeA~yAj|>Z#~!;kBBsoM7B;;;lcUyv zD`aeL3dtGpgp78s0WEFp{G54~=gNyDYd;2DA7f|0cVlDWE}mZRY2H`zSsT#mw)Fo> zCoq+|i9S)^J!&#r54b{(Sp3dIv-6rn*h*~s{dG-t9E4#dvx*!Bd6F#5{O z5DLbb=p;503o_OQNhUUR*Hk)u% zm~c1c(PdfN64*`#K#ZL-(2c#5zxa>N#~+Y~=5c%Lqs-MAhA1yt|2jD6Bd_CFmc$}JBSJRRpR!`_EuH{km#zj1Koe*g= zK1czt1Gen=`6#)uqvyZlHGP~ELpIJ#VekVN-^f*Q^Nk&!Jr9KC1HSZ9T2LnB{E<6V zeJne4LuTd*uO+Uig;d@@vPFM{d2fGJ|1Q&cErK`APaOD1Z~l+Oak}RAMcNYOO3ox2 zrCQcR4^H5(^1-$gPZU~^dAu@L>AZ=L>oma<`%c9x-xaFo`_*%sb6?V>Nh-J@dhobG z25{`+nVrAkqNJqljE;qilG?6u0)lE)mS+9kEphQyS;JykD_hoH0$-9s0!CpRx0Y0{ zQz{{}o86RG_^&7uIw5|2)R6Y>>5DZ+2(<}sFLK#C;)u!?dtu4ux@4(uD-8xmkW%~{ zw{5;Y3oDxn6M~_Jf|L|v$9=$b`QyF8QZrCQ(A%V zKaI!>Gbg=+0zDQjgfeuC6@&Y05U8YphTLEr$X2H*SFx}-TL8-pt{YH^%htxa;e<2T z?MCAOG~6n_lcU4Sh9C=@Uqj(Nk4$wWw}aYsmR6#ezkYi_>A$-^E=ljZWJv}(8f%uN z_%|P1-~gReLi0g8H&G|I7A600#j?wn!-h6VM865*6aaOyADv_RepzDb*4WfujQ&Vf zOSN58dT-hh%<29kyRFQakv*ot2ovXPu0fhTEs+o%4vglQ@X z=#pA>hs_$iXuyqueVDFk)9BA)UEaJKubgTF*pPER7pFBX@~pq`D3YrdelbdNr6ojLkMrF6C)w?75}5=h{Jdxp;3yYVx{^!tx+Pk%nmhCW2Xr zmB^f>)ytPuIW!2Q8~YBR$gO2gwg;q0u|0L=?HY1tgqv5*8yzMPZmtd8XxiD$Ej=75 zKu3y^9rdO8!e?9BwziE=l^t82lq4CN{`ST0QYZdqsk5x!?dy*LOS>!f7yq+qJ;rGQ zhq4=*6Fr~Fr<1qYmFWgy(Y!50l0#lwq9%FNha>bsXjbbOS+S5+N$-{X= zMhF;glULiw)T&zvce(ml3 zSv3uT!3a?MS22IH&|4(Bk{_ z|Muf!iay%YA2|waMPl%SGYaF-8WKfV+mL1sURUh*NGMwnYQu)x z@B*f^Bu6pdP)M;NA6ST9Pl^gyd&ItUG6G&eD$Ye9BwBmM<;8#(P-!0z4H$oHEpxd6 zT~Z@c)ws2c;n?TL+C~m=5@0V(LE<(=lemX5@=kVw+-*I+zHBizwR|USsR0dO!?UVW zeW|h`$Cg^vpPfkq{DeODBEZxA9A`znvth@kyPy|DDX{tKB%5=^x=DAxsUFcoYwdt( z60=}kNu&X^Qd?$#D!zkSW!Xx_h{;$al`+jSqW&^)pB?8RzXODre!@R>0@rn zlqQHt(6kF!S*w25>_fV__ItB9c?a3y@FNG6P(Qk}bojGXHCDxKn-EpjKf3}Q$c_!h zw_!p6OYhakg{A*?s7YYu{XK1q^~1*W+FsA{+ zSIsdJ<7hbz(RUILi^|45AP56iV-H$xp5za|bW^)`&q>AzL)A_c!41xjZ z|K`W!$I7Hr|Gmx`LQ?x-`$&aH+;)OrXuh{TKCUu5tZe)3x-3=(Qzk1PdVhBp7`bbU z@Bx0yfr}Mj85WAbZH2UQcHidPr`Tb#xjum8Y|;cPKSJ9#$^A!*!PMWd>h)=Zu2DbB zhOt%A+ZSIY>1dUetPjW?VIUACpkdT<0g#7jJvfK;GdZb1dT7W|Ctlb|1%a-?E@uk3 z&3}t+in>^m;iNiC2I|KYPhNUG=%5;`cJ;~%4OYA72GDABooX=A_3z3s4Z#WMa{Esa z=`6Lf9nE|A;h<^NvZ`a%vWw06c_Ej}nd^u%VJ-$-Sk>?}u@ppi${jeIS=}CXIiS9T z&=4hz|M^_7;BJP!M59y-i#yedn_L|5xi@vKUhl@h3pXSTD7NJ$8;?`eE|~gXX@TnR zoJ8?Jdw}RrDgP7f;aTN~?I1>lOCGTrG$*JUNDX%HRZ&;4Ead(`Y7nFOj{es`VH#Lh z=~qZ*>1DXkW93g%2XNg2$f0qXIPCD>w{=V2V)^ON&rY&hzj?zWP=m=WY7C62;@Cz1 zo2vR-BE9azI$20pddOp-*_iGUJ9jLy)lF#_R6T&wO&_7xm(GW(!nSJ|Ch75+nsHISXmZj8 zC*#MXntWlCHf~>dTp%5t9gLbZvpqOhW_mi&lqis%?%5)R(;y*UZHLuXd{{#My6*UNM*Ja2%rFy28)m<5xCSlDuz5xH7BqG$V>`x$c`pJ+MpuVAqbz zvsT>kVdJcH0};adgwx|974a8wcFYCz``F zYn+#FTlO+Aa&~n)_uFdvR@};O7FpQ#tFbl~B0pNyB4E#9sMQ+MBG{&iIa)JzM}@q@ zfjqA0X*^b7sV#O(5gi>A8Vt9~WLR{4D3gM19iR`JzI%!Gea1aKu9C9q+hvTIyO8Pr z*s)D%YQ($?4Pe8vHFa)y_*ey@4=z>GKXi&f4lQi4qlEg<)tiR^kUne>IVwaR78lmv ze%^_30?MO6`udEJ4WRpf?Xk%rC-tgV4I}veiMy?soJIit45r1!WDx1Xu7srbXLgfH zb^*8sZQ#Mv0@$|JOWqL)X4_Ss-e30qQGF*mzP54fQb&^-;Ti1m%h{XmGg~>;z*~6w z@ATiFjeZ(rXi$h@*R`2MDGQ{E0~&flN4jZ8U|Tq*YX_!!(y{B@1&az zYaz2BRKhE}E?@Ebc&n<$Ap%Z9uz@xhB_$ViP8sZuvE418sx??0U!-4y)$w^X2qht~ zv>DN+h>;LVO1u+hMB6C5M*;!C%t#!M;kPXfeF~x@!axb+is6fGrd)}QaWgxRm!)$w zU`w+w9WJ2t1)tG|*byDVgL2!lJqZ=XChc|r>U|rGYbGLK+7J#ho`4Hmn@tlxwp@u2 zzFBo$rpA-p1zViU!>s%_aS|w&zE2t5exzFkJGT}Sy1fOsqW3|A2idF}Eooj!iNjdfg%gH>EbuP6nQENH@FZ zQvd~qaTuq4{a$r_CTg+H&B3qh=i|sJ1ZuI})G2?^>Lm8Yb9cKn_ET33i_VoXG&{)x zqUvgdmv1yPNtdUQYt{8Byp(Lq@9r8B*p*E1-|Un?=pbjgHL7jRxa<9k$Gi3av<2_wEjJKh#df5>F{3XGDKzjuaFB=jNsx3l$TPmz>vD$M z2SHYhcTB!s<AR7rQcdUK>|vwIka8G22#3gUd|RXHPZm0{V<)x?DzL2$uk_Z_hW z&Ga;^sgK~?+<}SQse-0x-4PrhPC$KF2Pm>+mjV9T>*#KqCAIBLr#*y_DQ0!j*U;05 z6HJZ@%9~o3>ZuE*{e4ZpD*URmsv2{a?;>s!z^j-m zB}8WeqBI>eon#Mi_yjarF7Fe*WLZZ@20*h8gd0^@?gl&#Fvxsbgq=r0rhE82HOLyPjdw6tWViFzzix$zaoAdd0>53 zYU1Xn*O!f5wc@sY{^@m}ILQ>i{xrSu;pf9`Xq&tT=$>|;QFX&bFkS*W&^%3oBmV%J zXX{U<8q=)5{nOvgKBs254|kg4iUhQ$^e=QJ>xeUeD@mg@xC7d=*v8{fn9bZwQGEz< z{WjeX)=xb@5mKY`ntseEQtt!SKDbKtKmcg0Uk_~Rrah?N_ZFrem~b)f1C_Dg8@gx| zueMsM`1gsa0Q>z!+hff4Kv#hAKCun9`~iIUnk{-gsJzeg`-u+N6&`Tr=DD=VHMgOX zi}tzAXwQ^u56q>8%~HlZ*UQ5?s+PkMvWel4at~n!4-h0oA}0AVFhWe(!fqn^ zN5{PzSFpP`4zz@-7P=kCRL)Lc&!Hv_dP*v|A_Yh_6&8JX%19&3iyaj>a zAafWb<$@pQA8wR3CEPf4qtvB#>wmY)>(We=47+LS{p+_!zINuYOEp782%}Nr-`m%R z=6Jf!l!rU~EaeqOw;qCOm>Uk;zM5;;xJ&6rDOHYE&~mfLTKfOkY1!47ZTDU}W)W3m zgiH5{8FV_5Izit1U7^&L?FzI{Bei`W7W;Y`1D#q?*DY9*!f}i8BtJ#UCo}nJft_L( zi}wF>^)5TR#JY0Wt8AP}CSDt@yX2{dCxZZff`cG~0Co)cHZlC}`KpSfsI>+^7W?Z~ zt97NwVv&b#Kr!tct8W7qb6)imNy3XcS13-yq)Dv;IMYDr*j@(Um$sR2$p!>t%*jB` zsAYO{q1+9PePE6rfMc2qqEno99w4eu;S}Wkwb|jg zs;z2_@sHK3)8XKS@2lHa4)f`sWQY0anv|C9eikaAj3$}#@jSZ_wj*M z_;Dv}OPjwRH^I|nPs$Og30yEpInw2dJG#FIj~m5dn+k2};vCWIs%~F?&{}Msv)%cj zk#I6aDmh7#|B{>}TKyO_LrxO2l-ch+g>#dFgl(%ST0V#07w9NI*&rr77m=XEf+tNr zel99}{I_9l)gAgE8B5G_{zRv0n6@4wQ->8;D|+5wsEZnqnwt!X9Lhsxnq9jgH@Aax2VLSrvv6bu_Fv}IvYxLQC<;}wJEy+yDi;+%r!yR#(?qi zSbz?HZ*Ic=*rT->r1q$G;r#Dh8o+kaG_^QfVX*9992f?(xb@f{NpE6^s>M)E{*W<&7(8oalx)ZaJ=;ul9?PxsLlC)!hykwj4jfGD?PJEPv zr)V~{Kvpshbi$^X!$DJAM8O$tCJHVqFqeA74?krMcNA_`Zo4D#<8}#yrVuq8kRZj- zc%Pgdz;UX0{ai*wVK&Osk6xTENJ6EFJ=k!tJDSO1NIv0PKy842)WXrG8SlO9MsWvT|pF#wKEC&c;O1tQE7vR8VgyIHC{R5VE8m-4p(Pl z-_{-9;7y)4j*vtn$kRu=00gc;y2|2+*jBYA)4~fwc_h2)&0xhbj6V{} zC*@tt{h{dw$d+yUOLBLOi31NAchvS{>-Q9|IKT*E=LGH<<9Hk|VUPnh#*6M5NTFle zpFZaJ?B&7&E{eUcUNDt6(W?q-3fEBdbN6ru7&OO)d=W4)kYUFaCf$GB@Xd~xzZvSo zvQZA_eCPWt5hAwpLb;h!_HY9OeMP^9>OuO7G%bJ{>!z#f`Or()w9LVix(+#b9HGkk z)d-5_sRuB!OPTW%r>PIL8Vumd98JsWRCiHyE6y!?9JTjSv6X82aNg}HI!XSb4feR`As(Sj%j2rn#TW9sqPvZ#xYC7a`fgKl;YMrWSJ z0d$)2IdBJ@#;jIElQTebv2R4k0AB3|bdQ8rQ%4U!J`%Js0ATZgE{fB6LOA7+!l&-L zet;!oCdGUXKhqHLI*`K$yUzIaBgf%%^;W}ndf>j6ZV+i3N`a?KSdnkSya6KZ8!tBI z%=wrHv-N1qaxt3AgAIm6!+L#G>43#EdkS|EGIWf5`|%mT#et;Q2CwDsyZSj?GiVzR zl8)(Mv9=Qj71XKR7w}Q?={W1DQ;)@$)WK#rIkC@xtvrpd^Bk;Z&R94=U~PJ`2HVN; zKm+{M@`W=FdBCo&t+i6>t{icRqE%g{3l63AnG;2J6cA8b*!rf}Z3WX%SjDU`(yUgQ zZX%-Oq$Rrb_$J5IjpWp~($x`w(ux31GYwq$kfAE4{U(R9;r#fg8|BtmOj0&tp9BQdhlD}omm%MIDqn$qjGR7gtx{Z z0bDqM(=^{%mE3$UVp{=OS?kr?0j2EsqzwOzEs^}x-P{>Z65;`xjG63%PK#kp0qmlA z;SR;vP4qEin~|A|;QlSoil*S4-81|O-1XtTF>@SuZ8BFFp$Ff+oKS0UzHC5a`cP@VI+iZ!^Kz$J4okaNI~Vy8C_Gx$AhDWK$DJ!jCV(o?*_j3iJ@w8MF!hM*X&_g-I0(Ci6X<9qX{Lih(<*xo`8*MUpv##vt0d2 z*l^d8vp+v!Q&%%bKoK+Rpd;W*ckdVv{H~LKo}@0=S1dX8#H4ZAjMo&aM@1KkJ@J%G zrW7-1MTguxsu3IDglX5DQk&wkk#!`x1&=T45kT1`J20WJWCMVid2fCW_@eSV8Li)L zy`1G}R=#N(MuPaj2_vu_|2AJ`IsCA+@b)!Q9INGQ01DjnX5XHf0;XwXo=NaWV_C5d3D%oy4zd z75RAkC=Srpcoi#>MMoMCD*^!oeaAT|+ft#x7z-VRm3w0X%Z z1^&)jBEFT~U8_6JFqx*McQZ5mtTmC*PZ$R0btunT&6z`c&4gXhRuC1HQ$tKx1r6AZ zX*^*S?3W^L0_1qtgb9qJ8;kg^mV*hV63K;SY}R0?S%am)lP=c@M=_0vVdj|CBWFw1 zuRBk+8oXaqJ@6az>mpNU6^WvO|0f8J4J@Wc8^?A90wN}Cg5Ko(@)_E~VnfZGC49mt zcw#x5fKVpe(FEhLZDE{pU>tU%HA@GC(v~d!?)({ta}G8_J36b^cCqriYQLN9Gp(?x zwjomo$1Z~2-J!?VZO1VcecbsBRKUWH<3Y&*If=kDEsm8z42VJOB~PPNA;rN2?XQ}u zv$8;BTHpkVYsJCNt?+i7WDW0jDEBzYZpwasqlx5qwzQ@mZ0cs|T+y_Pa`maD;)YX= zH2pq`bDL3e&E?aNE#Pge>u{qy@t(8goL&?5MLPv^HnfOSXnH#06xa+wCPxOO*=BW3 zf>MhfXHBN{;H>~r zEdU9u=t}8{e$p^4o9^15y!`H_!nOg#^_4-FG6!$pt^v_OIg#()lyt6T1hT3PDFw%5 zV~cJFk!T*ZZTuHJa!y2jr>zN5-xjbuRGNd!TV-kIbHD)$J8p`e`jTVKLhs}RXf{~_ zf3oXNd+T<`4s$<2(6{G5Md`2rw-$$+iJ)&IEvu4!B*JDpVIj8j12=p`eXkyx zRDQnDf_m|AW%h6n?AYLhL{zz1#wKMaUZo{!GOFC_&bro?j776o!#px@X)@iR0a{qI z_SsrQ2>(Qsxv|!9?drkbqf8zG~3FtmDUG}|6&sG83AExySK#Ilnh>1T)hX>!nRZ_ogK zjGtthK7D#T{^qaK!+Sn8-1Kn%rQtfeJNOpsuCOcAU8OBw)QgJS&YH*d2@q&o7F7KD z9OTg@7l#^XMBXU&Cb_w#MekcS;ECIxeLL3;Z^kLgOd7oT1ca)ya>qmSxI^?{v;5SM zCn5odeh&<^M#%{{JgPpv=RAS1a<^;g=P;x3(HW3-5z<=e)M+G1^oG0l-EY>t?3T55&| zH8TEe4pR-1L54pC(6_D>#9zs}4cK8H9TWOkUtB6JK|{gdmX6O9!b9JPGV$X|2m zPjow*8g(sScdYd7wx-SR+@BdC2wdM%_*e`O({CYSM?VJ< zJU4APNu-_7G&|uWu~Q{GhVXN4Rg)9lQZX8n%!K9Jte-4yA0x??p=2M^b$ZvYD|FvN z`8f83suGM~?S>~!W)|pIR|3}9yIJ=iP+GoPYKwRN?U18YetA1DF&q9B&f(+^+^g=racu z7akZGZ)Um)ptAv?xf2~`ATlQkyJ0SmTh-%kp`mkNDna1gdX6|I-Sz~^SVO&VV*?u5 z0_^zop1#L(uK=33-#DZRG_kFF_Iq`6y@t?9iLob`T@5V!>24?8sodg0?OHy=ll*G8 z02hv`ug_U>7)i3eh^K6nd<7=7WC0s|?MDmH;Q2^qE9bq%X|J$pEx?3tnw14ua9v^2 zT!00eok|Z+hXJx4B?!>B3OkObgD$;3bDu*W^EEsalufnpIr&J)2W`P!UUc~zX+Sfvc^wn$qxiIYYZNppaDY5>! z(fNzCr#&`^^<6DMKM&iy$ilmT?A6LsRhRSm5{=omK0k^R-oAj$)e28$+x4C01ZsTQ zaYjGx+Y3ls3qQiHrqU?0;(3O>x>;g%HqHlyunk`2{Ggs;a_^GrzD^VT86= z=|#~wcp2HhV3W2r@UU#elJrnfRtet3#+ufgE_uO5?LDZUBi7k&A9<>RQo;CeSeLqe zIPm6X+Ahgb7I3sbMO6orY8Uo>b#oLWO@^x&J5>A(499w8nXkGEcj~_*@kE3;<^FlH z55BnlTE>si6|E+dE14(EmHEXe0yW|`65P)z8t!lgRW0P#G&4`9ID(gmmBWGGB9Hhs?1aNiW_+MJ za*e*IRjb>)2WMZs_IHk2BF)W*%mR(5#XKjgItPO8{;e9#kOQne0=~tVz(ENYQLz|b zKHXBb`UMYAjnm*yEXn!0>P2jD1*<)&ISUCkWk_jUznEcDD=#Ip6qEF1G2N!xT;i|4 zzZI&lF5Km;4oBP35V!z8*Kp%E+b&)dExW3p^rbz}b#%(zI%_~&KMk+xEY2n_H{NnQ z%$)CO!78E6t@3W16FqwQQ1%c#;v^T4eZ~OFHU*kao_6wQEWqJxSHRom@Hn_J`S{GK z_!dB249Rx+Fl7cyc#>T!$5k#c7e0Ylb}o3c~aY~7!8 z3NOHg?EFp1;=c_au>cq9rgX46eTQ!p-9&(pmMm)R3kach&-=>}LS_M7Ys9qG_l@Bb zaY)W^rL`QzO_HDmd{A|5j~|QUQoT$H%X1&WLCW_{*G1Z=2S%{UutdbOkC-DXB1KKy zPh(9d^JNV6T31z7<(HpCi<)!gd__MoT!eZz(;=C+M9&`!0I|m0UrKuS6RT5XPzzYD zt&){=F*}l0^Gb34@$);yIWZ>~o4{H`fY+;NA$gL;Wb^h@BMp~iw>A@Fy+E;N zCmZf1>$nsBsNYXYCAh$-w+#!hC8tRr7HGM7hCm*uG~Ko(k}e{aSl|S>$ygUS0ZLkownKZ! z;JT2wNr%_Xs$-KoF=D_Na6!5YX`BT9nCg>+^LUME!RzZ zS$g|$eqgoBC?0os^s^Oh zk_+^HTU*4D>|WH)FJBRPNJS0g3Mb7KGLRc6OTRydx4j=_9nikCU4e-~%0HUED$`{4#zbdX4SOefU=>N(8rkfO8!JP)_DR<7bqCar^Z#0>08&;$Z141 zKUdKW03zS6hZR+|>9iM}K$*}By};67yA#U;L|O(3j`~xbyQ1moh*ai&f_$(>&&81g zyQ@3#D29nwy6Ew&LNZXm&}t#*>}(iXt*NO%5?iU-ubWsNe!91Y?xEW zM(VEOPPU&k9FwZTdTsT%jhaq}3mMdnb?N^IKDlfBlvGOCV#8vWe<{wSk zGiEHzeBp5YR$XaybWysqIxsSH0SW3s=WM&_%Y4!6z%8RCVz9WGxm_01+wL?fr<30? zv~JOG>&OYd54qz_kx_xaRpFSX#^zbmUDbMEJI4mu)Yf6DQZUp%tEd8`04pzbzc0O-#TK{Kc5Obc3kD@YJ)t& z2m>q2zvK}`vU?Wjm0jhVYi7Gc4^tWI+u2l1}^i*tl6cAG}+Yv$ZQ6f4B+=v%t&U);zylaG-CXRu{{TFBn9;_i=H2qy~hPaE0C z%wgHswD-WH=jWfh%IwdNnN)&*dS);_P2SD0-*M|cVoBQ^C^*enBqNJMw#gk!-lpMP zZ)5R}yeo@$<1k~)Vuj5-BbV`D@l1+s7j(mK6;S{MxiI!;fIDHFHZqX;>5GjqxABzH zy}Ds~H$A+vJm@91T~jP>eET#GSM^i8`f9a5sV7%AMP(J;J(I;~Geg-8nAm_|Hv`k~ z>-HB^ysX>~!q3f~+aurtEPi|B(b6pC3Fn3}Y%p^ecveG)X$M=H_9y4$-7w$ZWT5*y z!EE;NeW#m2Y--Ywh$DUeS&_FvzdM+S@g^Jgev380=fT`>%>h+o6Jp-(Nq@usU++Z%+SPJGZ+=O~`hFvcHkoQu%MJG;abVQpOhNjx z;k0lZg)qBa4(1K3n=z=X)y8of0(Sx;x^=#6l1pH;C0C9@FK)Kr?cvL(n26)&;S7IT zfncVyZCnkHe9zW2lTEqYk-s$xRt*Adip>~Wm?L=uB5pg2-oJ)3WN`Ja1k&zXq3uhW z#_S&cI7{1cWQ1PulUF)@{KPn~s;>JaB;p1>T!EpB4R1gb{sz`Q=HyM?7yNEg~AWUmZFF3A)aGPYNG>D6f z7YH@VJ=$+3LMuu1RHf87z^@^7Q!PctVB45jc>U~lF3rq?cIjs}5}%p6Nxa=grn8pT zHlW=NG1v8gbMG>|W;Z$U3p^TTh(Uo2kq$vB?JX-k>Xd*-)m5Dy?~g+QaiZ z>G$dSh(-k>99!!3;dX7V>CAN2Q?Fw7Pt)Ysus4!=u>9ErV9m24BRs{-2OdsTRR zwUbBhc9Q8Tpm(R_ZYG*1nd>*wl@;F}Oin1`-MgW3s@=Z4Z>Qw*K-zRcz0GKp4eYtC zYg`$C4maJ=Ay|F7B&x7u?F<{&)*E7-F2CP^BHU9lv9HZg~=;ZP3FQ_j$a-wku*X;sry6k&j|fs>o2MG981sHz`hZQWwwkz6+$rhmPc$PC z$@w;zv;B<21r1>6l5Tf&vX)oCi;IOpv&{z)Y&IeI{0dAIdlX3Bn)-0;fLL+88YcpS z^!sraE1LrREXBD*8!t>_1!+{%!I)xp7EaJveA_Piy=Er1O}}RnTTlS=`+#q?`N-Co z4D`5!FB>EzHSvDzX;aP%#9nu4BQ|J63=GVj91vGCuo5%2=ZK^pMK>G|J>dccPipFH z5`CyOCPhau=)ef(4lI{de)0`&j^=s$_&URIn@4RUH`cKk&fh`p+YKSd5_Yioa|4{Q zpli~>IcujN4(%B*TVi@Qm@&G!y>R~ms>%zXEcB>-9~_#=AiY6=P|k(T?FF>`yrX>$ zkB4LP!Jm2K5;h4B41Yok0{oedh0){NGu!EL_b3uYvDZ|XV3j?6!@qgq(3{@PyEoE# zX(u?=6}_Ro_fu)x^F6XI(DhA2WzztiZ@tNRzgG2SfyDvHV>UyTXED{jo~`BPZ<1d9 zj>%cDWH6`DKKmp`~O&GEpx-D%EY4R__86$`t* zfqGT;slkgYx%nyUu=EqNqNzAPt#&Tu+k!V5A( zmP<`=>TkpJZ+I-vjVa#SLf<}xC~r`Mo7Tfs2Tsaj(LY=UkrvFj!)YpFUa-54!b@p> z487mZ10am4l#_dQBWYN@ODbKK7SBkXYgfyfP70E}9nVJ()80YSM9!z5UixLT%5F|D zsy%++=o*uQ_l0JY9iTi;xE%>pH&qNcEe$o#pZjMW!Td-YUP~PvI)^O0mL+YJ@LHN3 zzv*{F#Y>^t<4ar<8&1izcrbz3cMSpC4FPTGZUt_{-P`eks><-_1Q{FQWxTMH&4gjn zHaIy+xo#c?-M->vz~bi4*0w#5&qa0$`~|j4v$R$6whNb|j?SDepl^3ZHa#62vuu^M zT&ew3*ye1pz|6h3m!`qLhr^IqSlXdknyDAQFl_fM5Ye&WLbMHpZG4P(vgqbhgVI%Z zx1b(jRlwF}=PkbMIKGeS{ysZco7rl|$$7{$z7eEh@En?p4-(&hSJ^p{1eqpEI2Ua! zb5#O+yeF`mlwINN_V^Byo#f+mZye2t;V{D#w*&Ya&0ESL1plG{Uz2wGLlS9)opZlF z)zXhjUx)utv0~eP?jB{%5z9CY3pe2Vs)ao*4jKe%*b2?kXaVeZZ-m3pT7#uEw-wpj zTF{-Uw!NgtiJ#~k8*F*#IW;w9kF4D+t9xX5QOn>|KQG73J~tP#D(h$iB8m3#Ai7TD z44sD-xy}U~-owicx8XgM);XJgcAh?M>x}BK;7S!g=@7!0rno#ShQ@&&?AWI)P| zS>4At*@|G#M?T66o;z?-dg>J2&%zRb{XZflshN_`%AI;A>uNm+L(2 zeA{pWlCIl_ar&t)Y0ge z&bK|Pc<}dK?1WAm&tZ(u1&tmA`P_)D1GnMHVg%)|VRjJWvDx;`#m>69GSW4Tj`Mw2 zefTlkDUG-1I~HZrG;4lG*PZ6%$=KHO#qvQw$6+{-`UG3lp?`3PMt9&2+?Uh$z#V9G z0aL$k+cY#hBOr*;st45i-425kgW9P`9`3p33V{eAqXXB|PP&Fo;vhaqR6AU`N)1BZ zBe|Liza@rE8(Z~3JW#!Ox`Ujn#nOp$rj#0?2NJhA*wkm>yt3#e{ycMngHzV$%PJ>Q zS&{bxO3eX7)->Cges{z&BjXOkRj!5kC(lIi`xBSPMCxwe{-}Q*#IM}F_!Lhn$piN( zzS~(tYzHSZ!SF#aikb3RGeCAVM2NmS2uIQ5TwoB6Vn{dE?3jm@PLxxQbr}QsPm$fa z%H4Hp)4Pe8OYhX`$z!)FYiS9*tZKFdYSo8aVJ#p0*(#?M{JLv*pn0S!0Bxv;gjNu1nCgFPeB_0PVE_peBji!Y>nJU z;nbE}%bp&&9(|^i=BFBGOA#yXp+|egLH59*y;I{3Pf5ajh6f&PTkknXkhs9fD%l3Z zy^UP4L0V>u#i!esZ$?}Pnab6iR;pG6N`+QXtM`SiR@TYTFb0X65hO#Aev zx_MlR785wQ(}yyJTM7H*VVVOf;@l>|aCUJ52Lxx=dV7#ERx7lI{CbMs!NANFlb&vK z?NDsC&!`EY*rq1fuCntJ_I4#0lIPnd*5QEX%s5lI+|@9MlBEB@t!=s-_Z9M-g>C02 z)|~A7z>j^>ugWJHqSNJ2C21w%eEDcGE-2}%t$50y&gBXoYHO`U@v5_%@{EK=`rYH` zxm>m497kJ^S4@`g?r%tXYw#9sNpMM<8G-HJs*_4{lYmG1(&`>~q-{Urpo%QGw4DA# z=MmZ}ym>YZjcDe@wNnyb*0z%=bc(;y71_a-2#R0w&-~=#AbvJ$0AqQoKk#37J19(D zSaHT;@qH)t8`N>vXLiUHcgHL)^nJ>v~+f;en@mJ~Gy&W$N_UzNPt4vgy>8h6A!R4H^Z>IK8^te_P zzTK0|_{#&UC^uQC{@16%D zw~=%-IHv9ORkEi?Be&yWa*ujfUC^cF!)&k0FyY1Lw9y9yWj%pi4&2DaLSxx?@EjZI z4VNK!isi5*Sp3lQtL1cZxq#=_J-35$F-4sa)&trxTlR+JnPR67XvNxXO!$RYXtN*{ zOO=lRXA*!Mczr$R0;@I+C`6F`At#u@TP1hreWs!fx2_`q_-YKgbCo{$W=pwbvIpK+ z*dV(t_{im9z5=QV$mL zHQ*`y%mcvox>Q~o2yh_m)EUdYyrh#mB=0gnnYw!U_Ajdt*t`rP#tQAoearg)=8$=n zyY6m53c~7OrT#`Lehaqci}5%?&q^f<6ke9fSFb;jcazErvb@v_^gctUDKljsP=S2uvL`efXg$` z8Y4xb9i}cw(u%|eY^1RRHOLPe$0M)UsPoam;nh!C_6pKworICbz%UaMU9X_l4JUuS zfQbVq|43yWxB74-F6v0e+r`pW^X-Z=X{{cbu6}nw#HRrRLXI@j;kI8lZ0f)--^^S` z<&>WJ^sUg&ET?QLxakc{$gkfP z7W64}^1vVw!{qujBdkG5`egdPU-ve((x4AwP6 z=+=epp_^Rjk<$AlD=u8+#jGwA9lS^w`+@6RL)63`Y|H%G<|nMduG}pcJeo>hk@jR# zwyDh2j%SnZX5W#vo#tY3&4Vl5=tnwNqU{blYs_w-vc;LdIhR!&#gTAD2f@J>)XE(V z!NHyaTu*Nw<=j9JENl}>-#R`Ibm5K$&-@)FaKszBfi)jOEyb@9YRH;_{zl)a&l)R% zY!2M?Wq)@;hM(SIqxk0Ok;hGAa1Lj(_#`h27~l50pFA0KdEl8ZmjU6x6>sZ)+fd$KeAK1A!{=jt6S1D`&Atw=Y^_Y0NdU$^~8XER{Se_n;cIS2<hhcVX3(m7__za(yX-zG?D^1DZw5f#eVoPoX!0J`& zT)}}azwUcFB;n$`4i@dno{;^0Ix^1Dvi);O8QPn;ea;D7 z@8&9dB30UFvLC1Dn?EF3v0p#^QgS#v;`PeAW<{|D-J8T z{&oCguC)`se|a0=?7strzI}s?^5YPVQ?C>GzC`_wn=#Bc^>QSpFY2Y6Xs1X%ZlP!4%kB4^+VI3nHKWc6&-+eI zwtNM&9@-`B2fTd?m}=D52d;CoKXOGSTcbv#K6I~y6+dSOj#bSn+o>c799mogu z-Gv@koYh6S@=^l8yf-Hn#*9RkL}R8?zzff<@jka|vYZ1&ZQcdc|*Eo*g3+ z7nDgl-qAlNx$XLnUhE|N>80JAdAq2@-mEFSZMt)3(EyDL!$UqkeHO^=)I-xA@leKL zo!YnKUhSnvqtVuz-<4t728Sc$?x%e{At1Tf1t2=zjl|gkMW`xGuQUT4a3Q6}`H9QV zIsOf+`Jyx>qX0ub+m#WTvZ^Qo>-*JfJ7J*Y9bru>AgJ!fRCm&|ts<zaC>_wS5r%E&&FCQBmC;x(IFp0_bm-ml3v3 zlSfG@b|B|uhmd`<^#Y7_@Kf4(T&RI5P_<@2cr~jL8l_F3+6_a{chezpB|<9N(S>FF z{#2%Z7uFY?j=Ez-z(~aa0bpxp>Y%H^gZX_a6LiNRI>78AvmTrmFTbnL!Tri@+-AvvNd||^eUxi96RTs>* zX5+924Cgc1ag{b1n6e^uxF>%$iw!PRhkGx{e)1p7Zg3J>TikjiW1kuTOc1TlvhN(# z%w~P+J4SPVmc(w^8j%=uB|nvpPB80xBw%&DS3M9@lk%*|KqcLhzclV_y5_n zfNk3HbWOX%+Ip+82LN@ct(fD&R*y)NeF_c6l@&);y+!Pn@n!WyRH$m{n!}!I%ob6Z zn!ux(VPD z>@p00#f9NGm#KG7KW0wtRAYJ4RO|6oO}q3SUp)idaAAZBrN$KuA-Z#av8t#kceO2H zYR?`{)^n^ow-G}vE#L#2{&`C9O<(IAvz+r4MQQ>}*jhV3jk)QrA8T8rq44~sRTrki zvZmc(u&t`aaef{Yt`UM{45iiBP<7ku*^nv5V&)tRVjzeUDx4P$BG zhzs;oylR#inZdO3A?J6`AN`vuHg~Kc=ddMW4tv7jBui%xL=Rf9peEOx+m&|7OIkv- z)Ng9d>+r{g>M3Pxh|t^Gw368^W+u{#jvUh?eNI-mr6sP^KO^6kTR3wUyD540ziC(zK$g*(PsRaK4snj+SA z80E5&w1?w&^dX^Z9gT0KvF=Gv+MnYQOzi==YHn;Mw$2+f_)$v`*8F52MPwd<95HcA z@^oy*S$1XFn%eZ?yWE^{cHziF9JRQsti~0h2yNPFVuIV$CcC<9$EvER9X7SM!3*J?QS1B$O3UY8#MSlO&D-M>WL$zZ-n>(G zdf6xDjL8|K2zj_Ij?K&HIE!nN?s|;4_Y)`y7n<#D#P#69(&h<+l0DLce}9MqAP6|VQqEf)?y%=27;Dw7|4@`1@pF(<7@Rr8X$*jZCyC- zcemH}FYJtZNe_<4Vs{KXPb!5mDCuBZNKU7B6w14#kHS>X2k&yNTvO%2+w`fWRo?GNdXuC> zHYJQb^^^U?#IavWB6gAN;6Uxpg*m}*h&e8d2y6K4mK7t&E*wu}&BYv7EFS>%o!`GO zM|Hd4&?1f7!qhFgL2o4=wOJ82uhh?Z^Q=%ywct&KaE)Wm8+&2~XOMkdjbwYv$~cyD zgpj7+1-P<@Y4diayOK23WX%J^*yp7*=StGd|6SNV;0tzy+_^^@e-1nN2 z1xZ-iB^|(pID36+;ZT)zrYNOHvR-|B_dIOtsG8j|2SYcEJY5QMu^1sIsrx9(ou)fBs7*qKRMNGS%T{{(=?g$RdlRz%EDeZ-FJN?Wz~9cq&i zxiDPDUSflN-*j7Qm>o3q`cUk7iR}tkU|iX`G0iXS2itq2p z$iy=4idq<5bJAQuc#UEMxxE+UVmT{6&<&q9jy({Vg<%&Q-aaI5hY)I%A|A&+LiZO_ zbZmas(j(!9WOE%!>HEpvU-DiQW^CzKTPTRgIU_9-h{@6BuYIO~VbZNbIS42v8A2GvuiawLK zpUb+w;C>!s!2@fCb=Z7JLvX<%5SnoatufD!UK&^xe}L$enN~Lh)SQ0z zO@z?cskQ3cm-AFut(JpCw!LJ3P9LmV?()ZMUG{rTK{=4!M7R8bK+D?X*a=Pmahlm- zG>y|8*@&k-5OzZ=(OnHPhWwV0VmY#9qWN9$bMv<85(YJ!k0+(4hq#;>O@pvmxTkCU zrI8QT8hh)CFX9>!V34$NDRH}vmsM)z%U|8FAQ*aDa*bU^FJzvZWYR4R*)c;tk6Z;j zk~feJ^6{jMBxL(tsm@F`)Ksn7_P6bK8)C8v6@=;7UN%)Pr;fC(hFp<1ejFECWT;gU z&8;3wAKqp*j}-*x`25zFUf8LzvIU-xD`V$__>hVUpP{ZCW83Q1# z0`Pg-*?;Rx1Bd3-7*6ImhLz!~x}3L#5jZEUxeUQ+Xj{zkuR}7>v zfBMvg;pUO0nuEmAMr^fGmY+2=YkFjrk=f^`$huWcW2IMXV4+J2e7v?|sel?T1oaSH zxGfot3z!`Z@~*K2r*5}zQyGkOHGN8jG}otxeMyVJTCIDC`!RoMk?bK=YC!mX<-^%h zCE@t>3?X`=yVrJ0)w!Nv%?grCo;1IE_xNuelHdrgdHga~C|T7?x9p~$dGSjh=B(-( z2ypYd>S8zSnD2VYPX|}OPt6**dTnXcOJ}z=L|bE@Bb#4JpD~xEsK8b0uq0h@UV~Lk z4&SfU(z36FW`a=g-x(`>iCRy_O@pT4 zj-VQ&Ce`3ZP>pf4c^L_54$*^OHMHT-+&1h~&F&hpZP}wc7pz9v7{%3F4doFF{L~;B zV>!4=GBN@r#RL9H(+V^J;h?mgOYMN=zT}SpXQ^qgc44|Re%K?fkxhH2+uy9^zz<}q zi9YMM*e^R;3Y?YM2wvcd6p*#rB}Hl(C7Pty!3#caN5R0EYO7_JRFpT;VqtE;;wq_vL8Z(($M~=W_Wh{$> zuoVK{#+Ek$I2WD$R@IpC>1r$Z5(OF5{Dw2p`p24k-ux1JWPKU|aO{VM{xnA4TgX_FAx1F=66|rAGM**R!qajt#Qv*Gt#yGy7YT<$Z(FU5{ zx!hvDq_wQ?M3ySbrRHo2xG>zItOrVDousd&Y#ZGE09-sfxirewSdQNJ z({!PP$=~j%?)cXLfv3R^FGce9tVhdkINokr1Ax=FXbzc%PS6q*716p!F?7i%Fp4U& zpX`JwK)0(etxm)HR^`R&Ze#d}2r~37;K19Lmc|o|>UPcq6x^YfY8WiH&L)MI)(gUJ z65U={^m7S|3Fl%Z|JaGyTR}KBFHs^cgmr1?i5e%JqIXnxcxjiZL__P)!ELD`D^a@& zRs}rTkU1Pdl~88W@}@30ucZ`|3ht@oh^wTDu#JW{fG5I+X_MR>`Y|PU*V$-{sO{!h zvzsQ#9CVO_%=Op}J80NdBJXk*NBXYe_Qzwj z8iAV-aJAwvI@5+&Nflv65Pj>|uI{K_DSy$@BQQIgqf@V$k-pEXI>Q7wRciRmrO{Mo zFfgo|YPS3=&Ojkts3{{a91=Hcp1_KW-6Rs?q5VRvh-glLitOA{E3@OP)A! z*b~NW?Y4mmjtGs`rMGqmS*~hw^J9>z&3puoj?x9Nx7rG4g&xniMT0}_rTAp0lJdLI zQx-+YL#c!uAo9DiY(#4{0L0le2vq}%fmu+k<_M-p9*Bw)vN^sMH}8rwa=83dks3`l zB-{EfRAlXSJMuxl|CStQH@6EV;4=EwR>O3nS2V{gYAE)*K==*5)oT3r7C2}75Rw=g z07XE$zi!GNIf0DOmvvXjo5_B((e_-Kh`|p3c0tLrq6>hiNmlYo0*;whXdJ4YkX4O? zY~$)QYYZ5%ZIb9EWH>Yx*q-U3KYjY#F(SG^4dj6vj5>uJ0SsR1HbbT@Onn5!zqRpn zt`KQZ6*%p@f^KaQx zdzY*r5Z$ev*)hg}4eib-{Nt(^>%cu6C%?$_2c4OFaa*_k4c823(a{S4?I#R&|H54Fll6 zeJ1Ly?F*ekg|^~IOBK;-gcYk6u=JT*`q(2qK>T`31bt`=gB8crkY*Q_8~>yojR*^o z$+nKb&`j+wu+o@6Ni%WunS)&_j4mrLATYYv{xkKhqd4)GYT=P$S}n$i&loCT_$l1_ zaIE0!w*p+d{ZxhN@LT;nT_M*NFqBg!7U$uHLEDyLZ?V3xrk>{s;;IQjUhD#P6+1Ai z5aeO|()t5XxyQijwQI!It@*G#>cj&r<|)#yO4?{w;} zBw;bVv+IKAo6zJ38eJB}sc(mQN0WVNW1bGR5e}`wzGL%JtJ;i=jH)KE==`jvkqRif z;iPoNArw8U)WD)kIT-fD5UE1+`>bYw-&Sozf?H69DiMwVYwmfYNL51fn5Cu}GW{Io zZP&VOxH6?yB&9KPt;sX6w3-9cPxE%hnI1%XOl)pI)OY{%m6=Z7b$T#~%nubtDO*OT z-Eb0@E*#gNn+&y9&k+*pY>)&q^b=nf_KcNZdbP9y_U5Ny!6(EcER0slA0K++`{*}VslzS z4?lT$ES>#6z1r42+ozi~1nF?|vM{&9=WKg{tGcTpA?E?p{@i3@1pKvx<0vnbx}% z+K_bzq6rel;9s?o(G6S? zkI?d314E>RglK_dL;~c#tqk8Sv=*%rvHOz2`&)8})uT|R-O!yjT?_qkCb#7!xS>(Q zYSrLf)L;jtm6iqj?h7cA7)TGDtq||vvFXE}h&|9Mc^z6Bma#%TRoDCaRrdTpaqNf#*F%pzz z20@5~8MC_;dHh_YX^o%>qfW4w&S*~Qw`;ls!A@u3zq-)2iY!+xp%Lo}bfS&ru;ZKI z4^b97?N@8{c%{B`IoNI44Gt5Ov!{af%H6+|cXeJBQD;xnPh^`Z1M%q=um38??A$JdVvhyXlqlc%pL!-|L_ zoYiXDv18j4GdwdkOe4hea3I4I@VUK2Ew%5*Hm@Ep+i(?8sfA(T#id@L!g$& z2uU913!o*TAxbNuhZ};l%Uov8h$ z+A1m)r>BeQb2kx?9O!>kFUW(VZNkX{qeNjI);A;X1b5?v1|IWN~fGcA%xx z`=oa+5t;%W5@yc4appoKyT}>(1V> ztdG~V$?A=vVcV2~)6~v_n*2zf(DU-$SHwtIr>`3_W^W0LkrpX9P4``rh@w`9RXwol zL%7uFBTYfr4GdV-Ryn#f7_TnhKZVzlglF{pZVO zp*prWFiDK4do3g3ZI$o2!P{!F&)V|JyahGCHsK2IV2K;+66*YKbO_443z7viHy>K|WhCMOdex+eldz2GGWKmSIVkkV@Z>I6d`-z5NKd?2!|o8GVH>NOGt( z_*@-ut#$w(f>RONBfbjy%sWmDsvQMhS4Yv<6FvZh^KL-hC+A9=5y7aYgcH_Sqq{v2 zrXqXbM7$9{eHJ%iYY0sbYu53+fild48&pE^byPDQsC_#iXqhBsSUOL)8CWwp&>Gyd zEqVCctTkez_10`3Hi4cPx2?9;#*R?>W*VL!BOYjTA! zd%h|fg#V`TlQ_)M-Dw*EbyymTv)91tsph>0t)J@E-8U%vL!0AsTe%iKcv>x#RflSL zTFpbLT7Y}08Op=1cw$}aRd`-)k5&tZr}eX!UMIFaae@I)tznTf@ntX>o|Z3UqRd8e zGEHOc$OtH?nb5Amvzj344W3n_+E82lmWrKpWcXF>xMYKI8B40HOF!9dB%)<&@Uyz= zuI~l_V^vlF z4L($xAJz^yk=O{ZX)I;tJ`tI%WfOsi^f}nWL+T5^Mu-yXcnOzrO|Fgx4{6Q6yAeie z1>BwG`CVr2EALEs(v~=ft{9)FMuw}C(9wHG3y=7;TUMZLhb~;qpf3CtmSaaw$yEl; zC{&#PSM=4<&T&gTzV~;x;b@y*vF7Ap8UQ%FpsuQPup;O-~O zuBBQxw4RCE8a$ubz6L+%&NXW1`GWrWIMBcW5nRhn&~+-ja&vdRY%jU;*9iOl9#g@+V74d61KF#Ol^VU+M-~lcAJ#lfkTdFj5aN@Q{}!m{o$qg$$<P}T^9G2B#0ReX%d$*Fn{H)82fa)xuhSS4p*RdnVgnbk!~wBtZs zTcbf`WrtX6+8JC9_L)G}Jv|=Li`q4RM>xmK>MPgylaVS7_H;Y;s6@-Ca%+uMyC!5% zL$U^QvFIJU21rpYwJ*tx3f<0SYv$9lM-ZD>8IJU_wu8Gk1(CPoI-adaw9(u8p~gEA zLgN>jD-6<>kkvsa2yN8o+~^GT_}RhRje7U*y9DWy{g_fEPA4y?X4>Hva3cM!3!dp` zaOwYD2%j{!%?`&wNdyo5D>vj`Zz&O$K2<2PMO$kQUij&7I{~da!-?*W&_6@kUHOJN z7b_x6-rFw3w5@t;^-r0qXANqTPoLJlY=r#DB`?1n?unX3PbIn4)>vKB*`$AM2ASTm zTOxX3*aeHDyM=}^u&GCS$tz(0o;1{un~G)9z?j;| zo$gkXqSQZU&C+?O!|jrSC_7R}%rqf8l1SLfvh`Ujn;$#8G%Z(Qbx$^<8h{qszFP81 z`a=IKv*?vC{8Wv$OH#`^d^~1Bkl4awYqw(xm|0jCB4@#GOz69j>ECMhNQn%SFsxqrvM28kKdX6l(y4fS1@J37^9lj%j3#!@b+YoTPy4%~z z+-{URUJYllwwC`beg>iWbVKt%Xh9b`oJS||&~#7;Y6{k67e;n*{bYpOCLm8Qm$uVB zt(y;7R?c2r4H`CLerk{cV8nUyyO6o{JLvyXm~k(|EST+>TpZi1$0Gr^R*f=l$bQ!a zPkkp?Lob$0@-rxU2brGR$yDYF5Qu$c%jhYf3(fN{?J2TO8yN0jzu zFwWV~K9b!wXG?DNpx>zigIik7Ms7EE#@iMDP|g18Sw>c~-;dKkP;3tB()tUMwW9OW zSgLc6h$<}?wL8eihE%1oVx)JD9)asB!#5J4fI4W@0?wpD=XQ{Rs=10UYWB!-`&_e{ z@AmMQ^cu=t)1at+B%k)_du7_34t_C<_AKfRxC2VsI>7c-PJ+b$t{ivIu*~L`uOa0F z++8KsV$gC~n61WTt23hvIzpd&ej&~|GlBAZ^CU2~__a9IsG*v7plzTL=sal+?67Ov zY}PtNyXH&-pIHf1%dQOoHpc|0>NGj-^cgTQdWs~wUyifT5bWiPxSNMknmRwg+byrrZ*wL zIxIUDORGT%Lym9Z{N&|aaCWxv6vJ*|=u3>u@kaP8PL|ihY|)tuIK|qIipXu2$SlaX zU|x>FuKmfF+ZR{(yKsVlmwwR!y1?u%|6K^68kfESwm=KW7dlIQQg9m3cI!g;Qj6pkIXAm5^zdZcg<%}+$BUS;t~4toFe1xt0l}B-R#etU zt4`6$h5skJXL+hgTfL}Md!jop(oscf1ijb|)5+tHK9*FYwzaE4njfeYemmNwL$fw) zp5bEJ6CQ~9ZB-Oj7->CSukAr5TUA8l!ea*K--XD`p{;v>XTcPwtxuWGax7JAkn`^| zV52=VeASy8FLRl$KCC?)Rllw3EBurCJ^Ww_JQ@JZ_|~c-FX^9+FgU(i3L6^4$e8O( z&*0GU8AXIHM5%Ve@FTAE)An%9u9s}LddjUiTJV`1f5J0KH5KXUtCo#7rn*ep?f}_> zg_t*e{25-Wp$|E3G}o~1;VajWCBi1f7XL1|wN330$c+;P=)&dWtSX|ohW6PFU`}o}22;mrYHeKzRuy3%Mh~F7z8oMMM@8!fn2asThZ^+& zs>W8xW4AcwZrBYT?pN%059i$WyK`q0lLJFbN6H{4LbBcrKx{I)evnph-GvCCo4h=d zM9>DSnx;pV&|w!=fZ>KN>?b~B^oTT85WxTn$6QDzHy>DPyGS*w1Npr*ozj8`_OfNn7}Fb4q8EWT17 zU1+hTs<{DPajIdv#Q_XjL`f-NElBwWys3a-23@LlZ8^wm0H~6gEC+xp)sS_^9+|-d zZMQ6U3x9Uu4t>?4MPy~s9nI4ZOK%zku$bpvALeIulL9O<^c~%3pXX42bceIHX%`%E zBT|k5gi0n`7&pV50vQGXC+^Z!V~nujsR&RQ8R3mx@PG{sSH${T1|O|$i1x3^eK431 z&UG`5f;nSWS|J{}s%p;obZdVwF4|yK<1q3h5q}JZ_nWaqg%DJdfKk6ICq|NPiMc6V z48i*uwlK!7LF=!IhU?h2HRO>yd4MCjUlcm6s$x4J_e(9f!+K$D?%VIQ0en2~`m$L9 zPSP9sJBIV$X}khNVnI(TaK^;6E?_MGPAfIo9Sy0bNdb08iwx#rX#~5Y4%`E{l9e~~ z830zTK(ly`HQ}+wBpHaoY>%!)swUOb+2U+B#wpPfZ%7*g(j?hu$Bg7#nq)KR@})B% z*563FL_#~5dF}?Bj~RI#btWG;N2V~}p=0Dpb7cDFJEXSDuJ`zoEX%%W((iqw)c||Cg-0*Pt4UfG=>V$p=?|I0#KN6D zNOMHIjx1pl<~j!<@IqMUw82cQ+}s@seEmRDY}rt7ww7<-%pbSHa|0C>814x8=xv$JujTBh7;lWHcs^Muq0W8qr_v% zy%LX3gyU!D&qO$WPc)7b@%Wyz!7hYNT!HA55&EX?>8-zUa?%zs5s{yq(i8Fbo{M?w z!f>7EvkQ)HpQ`ALn4PJYuJ38!b<+bi-QYPr^q@l6)I|F;N zZ!KboLr-ehPY&k(A=%HZa^p;9IZOj<2leo8LA0)ixljtS`aVTGPQRQLu+D!7}#U?^~ed*#$k6v zT0Uyq^M*j%2tPOLL$^Ct_NUF`3Z`%}^Ej8BoLv)H4ULSlOIJXIbTOw-(@RRIvD5W%<*KtCK>AlXZfTSj&*cEbwb7z<(hvn=z5dk+({q`iAaE z#+RxKW`$RVfK?n1vULCOY~-xLg3HvI^|vm>7~b|otc24p7&Jnpd8@c*Lx8viFRN#! zR29OhD%E)*XPT*?x`E4JvMeqnNpn-=)P<2|?@x4(+0f6SlWHFQF8C2vkzost++FxOmOP%8dD}aVo8y+AIOmB*SWGo0Mjd@9Qj6JE<`=F<=IFv@!mhgD7)QmQty&y0 zpth+s2voSSuNvTVmC$?`TJuvSI(Oq=w6-Vb!fG)LrA4h4#Msqta4l7JYNT2<(}`a4 z`X3jp@ii@lzY9U)L0igdH+b*pCE;WK^aNa#=Pp{S^@z6AP;SAvaZC=}UQv-39i`a< z3%|pF?2+|w_bu=@=S~KFb9vfg1SFA4&}xyZ*xNTn_i+lf>9e?)Y{7d&V;K$s;|0|# zrW^JotxUML8maT=b0q>iRsM41i#3BAAN>C9u|Go%n}TDTT4Aq%JL@9@Xs!}Z@U;!Q z;N0rR+U@v(TgwQH^cmBzz;~S4qZZ8c9k*rp)?8W(Vn#n=w zX9biK$TfZy4C?i^bdRtvr36_thFd7U-7yu(5Ca{??Vjdu4|Y6TxfoDtz5{*u2%xo| z7?-!$ZfF4`(pyJ=;OvXWY~ftf=GoHt-0RK)tju??IFcV}Ezfsn>Jx)DlJXOLbn&}Sfn)M^OMu@H zr!9TLMS^H&WYC43`LqfxEEz_#J?x&98I=|SGZMk|T26#w8zTZQ3^S$5YUAc}wB9KsFXYcJh3l9i}sw%a>3 z1J?~w*mgr?IJdWMZyFmWZe>!Aj-MQ-aQ%Kf$JsQwUblu`ae^yWpAp%3tuwIT+qqJj zJ!tRTzhW1BidhGr<6$c79gyC6n99O^~8a(5q(IJ6eb4eCD;mj5nzbcPxi#CIN; zqzhn)(Xgv}A~qH2%%Ht9qxi53o>SSx>AQwK@77M`tXni#)cjrLL@=iwsX>$?1j_;s zo-Hn0pNi#7%avd7HPv)|P~kOC1afr6v*(HSY{3j-SQ2}S`$g4fI&;3;M~s`gN3RIWJE!C> zK^)ErwwbqkT(x1Bu(S<{)d58s6PpLho%X}~+9PcnvVWCu63SZ#q5y16Oz&MHn#FQGb6PtLK;+~4N* zQ}Y6g?Lk*|AxDDjfMyR4{*Ci|Ng#oZY~U$3?N5$8FWm1p(u1c+jg9o+iP~WU?QP#6 zal8Jjxqw{Yu7-1d?HUxD*7P(glvIZr?)+g-%t$|ctkjhe#+%u}%`&C$V*IMHaH!&~ zM%t393yL|3*S4S>=vIa+Xjad5(^;rq{mT&6jeOxw%q!XGX9Zl?Oc(y#-}82~t0DxV zLc_^v_03pyEWBQAJpw*p^#L9*ab0cX^|pCny)nZOqECV;HW7aB>eM|_k~R~4%c^u# z|$4b_$JX&2mLqt*nJcc*a*S82<80Fb;MwrnN9{a4b42jA(*3l|KB$*r~l>~#mB znh&njk*iVLlY(Nym+ItYRTm;Gq)QHuxfQvcJ3 zE^af&?QK{UZN{p9Tf_@!)BqM-m78kVcXzkAS{?oTC7j)6Qn)XFL|>1RyJ1A!&mdYY zoGB_J=xdd1WfPx!($WH>o$08W0PRACwALUGTKSTNbT>aE#2t~X&Wi8|U>#R?WJ254 z+WTfa)Tf;=8`+HUtlZP8c^qIR6zgsg6=KulQeUZUj-5I>&+Hp^z>&1Wt+d{$t-8}j zN-f?n6uN7B>4L}R+Lp?+-yZ2ub!GXNt0`za%ySSddLGrILSmLyzu+l}s=WrMgcPu} z`vnjV6&iVI1)tx&1eCyv@LklZRouX!Fpv#Ua5vPbo~V~jNX^qc)z`50fl;F0v*e~3 zQ#*({@uFv~4~7#lXc`k3s%p~^x=90mk>Hy-O08B~7go&krVEY=wv_;CSE?%+(&uD9cq(ewZ#n`heHL5{uBin-@>N=db}rx4Mp{`c2ETPhQ% zvfT`$SFGUSHMu(zqm{VA<|;qr235A1hpN3~1r*&bgt^ZeVtxmTD@^WvmcGna^ z_Pa1L)^)>$t&@wktrO&1wzMN-uBSV*3s1(?O{cbH{IUx-Ce1E{si3RgNc=ier=5Vz z*=`J%c1?!G4I=PrwsBP>@@Pv6ki8c7Q}?@ifx^W!Ppu^2aOwH@10T4jc2^k@!k~>2 z3@%!Gs#Uv1I8n7C{0yc#Mn3wcX?#2fl5){*5Q`hyP0A|ySG2b1hU68*4F}QXZgw2H za3VeU;)U}0dUYg+M~#&@C2UZfr3XC4Gg;S82^-X>SCl|#RJ$;pf8JgZZd@xdq9}@L zU1BexLU$0J?(DQG(i7ro+dK$QH)u)IXVvC;FZ9mpDCJM@tRt{l_6oQ9Pkq(3xm$r3 zjIImKm!7365m%eeSf>P&_|!XFkAOVAvxTYJ9*7h3ws$yNt+ibD7*J^~zYFy_N}LiD zJ_=quV%4ed$82+e#BczUN*r$atZMraaZE!+3=f~xA?*-Yk%!c9 z<7!ihfwQpBo-JVN`l=b`TD@`xQrAYzJf22ysSYc$1|Hqvl#Kq}E3^@7sOvUVCDx2J zMY8V$HYP#4#{2u!1N-uQ*^t;PLXh;*9qtWPDtOe2es@o08zwv0UIa4-hNi?9c3@}P zhH+NQ02ps}YJC=LO(WOg90vk?3qcvk^VWeSskqbDZZWivRkMC! zY1Qw=hs-j$xnFTf_BhjNzn`#J^0O*q(DLM}wdHgAfvISu2~JayQ3ps4)*GS`4ygr_ z6Zn8z!16U0eP{c^R;YK}5bSOj0_~^uwgyet(9kDCfi_GnpS3*($)D`eBvt~HJyRHU zLyyoo4LsP6YB~`d7>_Qb`6oJHrRmH2c@8cIj0et%paK98Oe*Q`LUrCKzoR`#=?+K| zTzlJA>hLbw){DcTy|b!?N2HOreutgP^iXXcH3+7=9*I;?f};H{;OkTH!S70QgPtH# z2gWTUpi=Fpxv7^`emW0@^oLV}5p1c*6_yYc@Y8N>W@~$?%k!FPTZO4BX*ma$u5D*= zD{;8#MBWX&xaI~v3TAWjm3j2|X$TLNH-us*KZ|ym@IzwH6LCc2+aqLsw}}>ycl|K5Mj`Pv-yuR*kJ& zm5d1~E%*2L^99XhcR=bua2O@7=(nj2rd`e}4cz7@MMbn8MvZ4ps!fMC9s3eM!EHm) zYuCeZcG`+TV845qv-VYll^X@WHn|q8SEfl3YL>t?%1I8m{FM!>OS_LeSeXO>a>ch5^~izuRn4bLmH%K^42@h=>P!ln@X)3=9|$vJ+& zB5(F?mC3+#-Joinz?w*$*_nPAv6?z~eE0l2bs>_)>VXn83RUt9+^uBa&(yhyEv+T* zXpF(snXpT(LCmF7Lf8eT(dWZKrW?Lt73?aP-V1=Zcd-u&+uGe zN=|whj;WUGcA-ZaG`$nK+D}@`#!b{@)jZ)I)+9#=jyWrNv_12?K_x>MYA`YuT?k?) zjZ0=ePOF)RKKcxvaVAu)5cgOubV5U&@ifNj(5y_i&}tze$#x3RKZt!yOrYnI=m`3A zkhZv{N;Jo54GkN_F`6e=>NELpRI6zhoY_UwYc@}Hx9#`iXPv3GbECY~381L!2RN%g zTycj?F-f!x#8-w{d*usqpoBahqU8hFQOWmDMT=Z{XX3^Kh)^zW_ov$c&3TI7D|7uG zOFtRn>Df)^?2l89}H8MvhF1+n23j71#4>IA2z-+7V&ml?`@(FC?%+{YaR&X1*|T-9eGKzbvoh z_5aD`OL!K@<z&+(mhL<@(CwJg);y=_4nuDTpigJj@;~zkKBd<0o5o$tyQns;@l$Jl}44C9Zs) zX$3joell?^?~&XS;*tB+jANd$cWd--?#T$-bq~UKUwy#E4F8_!Ku3*S-DiNeDbT;gn*PrL{^Gqy|ALW*2#<5(vUf*wn9XYpU?|=P15~UsFcg^k!=ey$hleZ8C zm*k1j$FpT1v?TAgWJStfJNC0%c00&kS>Y2`#=yT^51+*t=i zpmrYoaA9XP2_Ec{#hO1H0ohOKze%4pN;tFI^Y}_oUC8^HnWsKei#f5!%oqOpn%1AT zJ8itr&)jrKMe@8IThH@&FL{lDn>&|gVMAA*&qfCycOFB?Fj8{m;q%Tq%^CHXKWDUO zn?B>!*O7sw<`<0le*JF-jpzRT*YD@q8j+wRFGXkm)tZL1z4CLCV|J4ETzL07WGg98 zi>-GHIqMxXIy;M5q6g0o%{F!-SA0F>;XPt@oG{^ve4=Jt8GZ zo|xy9=lvGad*%Lq4Z`6c8Fr=T!hXN+Jl$2k@5@@=PyVR_NwX@SaDG?Z&+sltMv~@s zVY29z<&n4CQs_^e`9fYqOZoOI=AEaM@;$$nk`I>!XpLO7&^K4?dFT~DHTokzL%-lC z{ocR-y8o?P{hqg3QoJkI_viLL-1CN9a7?d{oH+I&9{ROIhIXBQ$0GOTmdSa1AvRi4 zuiW3CM_y%05i83T-^y6Br7M@Gu>P#)1(=L7p9|Q_^2g?kR1nYG7Nh24Y$>BXgJR@O zyp%EDU)M84W*qL4ZzsPI{A~!_v|=ui6@Pr zAS@$Smwa_2%SVZ<;zG@Pa6y1YUasIje}10N1_oLtk;EjweCA9<6&W$JZMD#ApDVZ8^YS&a z+Ff9a%x_=k*;g1>l7HXN0l&Z!xt{ymJLY$Px?#VczE?Jk78)M&?U-=6@~6BFed^m5 zM+pJ1{OWj!Hpvsde~+yMiNBsP+36om1;Vztcb1=%G*Y?baRcjN%OYIv&xM(inL=Jq zYXiHG`xfTI+`2Fy=IR@p>y`Vnp2Ir$$gq#(%?q^XkGLMgHWHKM-Xx{VQ=c{eJl_Yr z$Cp0<%qF=8`+Ew6qA>FP``t}}tH|%Oc%v&1r7gG@)-#~`+0O@_cjAt(JfnX+ImIA9 zhW($s9>sfn&txL0c&Z-QYVv+N-c!LSk17N6<|B^mxh$|qK6Qtq_4&O&n$GxZ=#IMI zZ>#62Oj99rP{f6fAx;~$dAN|pe!59Aid>&^Y zc+d09Ad)3F)_exKp-!%dWg?e0&vTrEb?)TaI@{5`u(BP$z~c7Ezy#*{>{l%XrRyV} z?20Y0qUGv5MzezS?~nL&?6ic;SAOR7EU$RWz8WtGqw@Reds<+U@0#WLtZ<}<${$>xIgJF~dGBY!?%ba3ug^n{ zw&(u&X#cCdTP1j*Qg5!FAxeI{oON#SN}c?|Io|5e`AkjV zy~;E8=Kk}D=Y9V5{(!nHTTfwq5jEk5=vc_#JGAz*R1zD;C5@z-L1cO&*#PMS**80#6s-*>EQjIPWO295AYX_T=sb2G6k&8xqtV2 zzTDW^`t$p{lpw13=^>m6^Y4hU%C-Q6=jNRZOwEsFf=ta>d_V8J7H5Rf=EY*a0}v6i z`Da8sT+%kk4{YuyKmByRcXBcq_AfbA?vz)LhR<+halCiWM~eXZTn_Q0y4Cim_=tGT zljT_E@hhKaa?uGmUpcRYh-Q7n@z?E-u7|L+qAhhx{vMTpp{=<#*aY%%{`AKV0w>@) zSw7FtzePSTqj2Fp9r>5tsZ>WsJU=QYm3{gukEaCfCG>?h|X96;DqSpZA_JP)5o zEWw{G@xdGc`S|A%^MD5yFl#-4*8R!#st*FFey!ypKzU`czn|G291Or-d8Mn&V88N* z_xHoWRQcS0^7N`mSDy?7M2NKf{*jL$z#C+ptRmHX>a~i@^3T`JeB7zu`d+bQ3upzF z`1x31iJ$wQ$y~qn0NE;%#y=ms_A@5-qvh0ZKL*wcbn(m|^BdAT7pKg|SKLoW@AG!_ zc_u5+3|XlFARsS%@W*Fu91iEaD#HPs$87l?2UIQJ>e}A{aFfNH_sgjOz(N* zl{e}NyLv8uXJ1)m^3+Ej@7<3hs}iuAD|5=TGBib(U9mk;2^CpUcNVk4UE5jD%g?i@ z_3vGh3D>Pzevlv)^h!O8&&F9ndQ@^lfzv221id~xXC;GCF26lzpW3N0BtOuf zwnb*nJVU{3{?z9;Q1T1~vH5u9^FS8i=JXV5L-I4Rz=WQ5`r7HF%pZWDko>?d?+3z} zo+}7t{L3x0ABe_J9(kK|*n3Q+D*3Uy)PBm_L9i=*xxh1@!Q9^iWF23& zR#wJ3_AKX+nhMhQ_vhy@TgUfIEZEp{;pJKM03gnd4~u(wE9OzO);omPJLBLDIQixKaZXow1G1tx9w%yj z0k{>2+vjb2JzFPy3GKQ6Jni)QSSt~^SF~&fSRD{k`n#}RH50a~nZ+swihH3^VY>2T ze5hbQ?~nXyx$D-}Du)t?d{Cu9YudG62sJ)s8`_PFxMj~}G&?-`qj-^`1`{vIEDh54@M z`=2nry34bh?Z-M&_v53iu;e{A&sSVebV&v6dH%hYY)GsK70q)L^yRtYtvpK7evpKf zgnqg7)}M~t?LlK#^84kt^~VxZ!REK~r#}wNiu`ZS)9dY&@vN=P%a+7hpM`vLF~XcH z+>&8;$;%PJ*6DeGt!EbNv+DtBovVJvyKo;PP`~nii+e{5kkt9^nSJv0JigQl7`lcM^QAB1>=5ol*IPps$Z4XraCqGsj zB$vg>k7q+@jq-1_B@=A zz&~-mA3mM{=mv_cJjCkjVQk>TdcJhlx8de9wZVk-wA*})3k^(I^Z9)}A2at~x1X%? zwE9M#GyrFxc3y9%0`X|3lv-|U@`@sdZ z`WPu&W!(Go_!H69NS&3-JMW-5G9olUr=O@AJCzj_@~XrokqhYrpF| zVfMS&z()LxVeke%^7`xdCjhRs^F71l{M9q3zCH0<`<|~m{W;h-JkDT~%;OMT1<&oTatokv z&EkW-YOq=6Zl{s*JjK5o2h5Z$i;q3OjhC0F0a*Op{%RMaWfN(GQ8M5CTN!75cYib+ z&<&jYZLh_$jR%n006NY!?N78o1D(M0^mq*Qjr@68eA{)5x0%L#K8z%gPwD#^;A5Qk z?XZ64T?F>eM|>gx+nDqD*7+W)U;xe2pBB*kI1b|Z{@+@9p5LqT4BrbQyB!*Ar2YAQ zKlNG932{8p!EHQo0*wTGd4qi|qzxv~_Q?C`*nQrPJ@j?b-g0!IJolf!X3TltcHU9+ z8UTOt!@<(P>z5o*jkJCv%g= z-%#H@Ya)2KJ{PKza^4FMYNr7~-f|V{-pS=6rs&lp0927v59~faOCQ?{S?+7 zLwf@)V4g$3r$5E@cgqD}y+3lsq5i}N^x9^BRM`3WynkYS+kW)-?q~6tQeFM7wnO6II+6#edx%}U;^OeV67)BQO3fAV`qn9MhlTl8T} zX!DI#YV!f*Hs)B);&^Hg_aE^!>;Sy~KK{VJ+nUd! z1D{VGEbzJHd9;fq>mjLoZRa&Y0aKZmv{N5Cwsx4*A+^yqvaFi&F5dUPivf4=*{Lw6YLp2FIA3Tw|E-AR*Q^7Fq1GEMqk`}=%<(10Bb z_POC;quaT-@z(C4RfU`*V>^v*xwI$1r_%=a<=V`r*I{IP#Q9WxuD=T3Sx4xwp`9$Y zyxMdc#nyBG%2T4(2dvlY8)w^L*UCev?hJEPaJEfohsMv0oMUR zqv`o^diM4pFggrHx$3kGrMfrAlQOLYp#H^gjTVi?Q2!9uzx8od`aPJ-Gz?Q|w+0}b_ zTM{cnc}hRetzpHRqsz^Vejw3t^@Pcp5LEv)ec_7 z`n>JDZ~N^4Pd|^$Vhs5?#Qx-G9qeO1E%D;sfAV>IW@dX{2P8fwxtGx}e`djt&Fu8W3*`DXmJ0|yd$H<<~x9yc(U%fv>q(AZG zvqSHe404eEt^b8o`^oKX2_&4)y>#Z=>t{W0d*e=i-H`3;9W>?n)8>P|?ejt3_V*;x zaq^gt{HhSMKQNQdlgT4L0}Ka|WKZg|zc24kGtR$8HzI2v@!c&DSX&=CTMjx7A}5zV z&hztQhUoL9N$m46@OB(C`t$RnW%v2w0s36uQ}y+jU^-%O>vQ|tY#6QIbN`F)>+_{b z?DGxW#@thSko|SZkC&v+$9LOt>UbZ2r`Oz>u&477@;v^y`1^cKynQ})jXoddq>d9w ze%E=Ftx14>F6;>#?>KVgy$a#MPfwlw*7ZE+zu&s^a29u*NZKPml&Kv@j)Vs6>wETt z^-wEx1_x*Hua`Z{3VoG)*6Qn}pYDhR&NZozm7uSeX`v$!IM0^_9s7B{KX0q!5xWO4 zPA+0=c%o9k>p+NMdESta;V1u2k;%%}_Y>>i5lWXAB_yPL#0TWm_j$n79l0m7!jI6p zo<${7ymF4_>Bvi&L+Cp~@AC9RUdrcfk5#WD5-<6!JF-;f;f>I|tPg?S^S%Gw^?9z$ zD;IKB=I!Ow>;mba`^-ZQe4kJK>O&ve5xn>O{E$#|99#3SLhN3?9aMJD&m%keI|w`T z%i1&G&tv%RAn(kx6OnvR%fH0XojEG=%lrE&h@;A%0-osnJ5I#8qsMdV{0nf_0XTaa zZalW=erOBN)ftaka2_taejc=32OjNd_xVs&{^a_!+^bH(c90uxz6(BCJM(NmuflZx zQjid3nCtc;&N`zEb7_yyuYE3B9}mO$n9(Iycl}lV z%dj}U^@Pm~1OvW3|EMnGdm!fHdqFqjdwt6TsYM>~ZQA`9+y+7clQU=_6mUQHueb91 z@%oSNb*Kyk2R_fA`nJ}2j?v>g*@7^>$N2dZp8%GDP{GtS<$F$wKe;|VU*6;u1EGX@ z)HChLUvlzv4G_Pkx`OF7_Y;hPHCN|RJqAJ#v*mU$_%K)ZrL7<31!fMCyXNZGd=MTC zFih(BK!o8_ejV@q^R0e!s4?v)2#8Ud%ULCRa^!`4TMUpHI$jcfKaf*2Ps>`KjcLG| zS+bZ(st1gj?RolHjR)8>b7O!$Ge2I(`?C6A?cwRpa}so!`RGSjY>-Go6HV~wh_K8s+I+X#tYR$!u_BPu?XELafw9CHBw*z@O&OfEBEiG6OL4_Ipe4wt0X4?1z+n)R!V^0Pfgd@wt0G?fCk!2f&WcAUcngVG!MTvi!vS z4&W2VbAPtRjP~V2*?`?PEflcJ=9j}Tn>)3?+^PeX+2`>m;m&}iHE%IAt>*o|GZTG& zVS50FgNEq*KzkIy0V>D3^M&7vkmoE+l+PQXV&~t-gSQ+oNv6ZmfJw6D^2c+Y9xys) zaXu^%qd$oD(Vr-e0piEpn)7iN4#d#zT=$0;Vf6JbhA=YDM}8DXl0xRUL6^x@-SsIQ zIJvy)_ZJv9`hHgK{+_4@;#qS$p7xHM^KMbJ5~lm1qR%Xr2M+-lk7d@K+(4(LQ=EnS z=Wne_p34y=XiR7SlOF;KVrr7KEgkgUEP6#oS83e8cHE46_#N*kTPj;-=R}-fHr$Q9 zAJq6yem6jn`eabt*e|8SfUzMx54fQ`Gpfyb5P##m;Vgs3ghzg6EKCV`B|MJ-XfX3f zdoH|N;3@A8dtUhQIQ6YveFg<-d(x-kaGup~9LMvglPzuL3s30lfI~Y!KFV9!(cho* zVSSt@mTa8)1jG*8qz{~v-o^x>bymx7zL1i%64bPVrqZFoQ{CC}qK^kK#bY{_fuY>(A-$|{65X3+wMM?HHpWqlmhq<2p= z&9V?~!`tW5(~IjY`jd4*e6}3Ddba_XyuU}cG`ZHMIC1Ot&By2PZ0&S2PYb!m(SqXU zvCHx@S6KFwvxb)WyKK^~-XhI!g<;*YI;-$)xx>4f?ahD(J9;i#Y-QdISpQ{_-K@xI zk)NBdG85}h)^~z8Q(ZDxwPOx9=6V(kBhNK-!F3Z&{=#}ui%+vB^zfdc_Q_V{B;(`7Ic>N z=G*{Dq)nGkKYRAEs;8fjF;G6XJDw3mucg#JV=3{UrGsYF{7AE7t?mn$`eTi(#HGhnO0Bl*ZX@*3u{RE&P2wn)LuCcO@r*ziH0{p}l8h$Grt>3lv zAqHN(@NtSE23~VwbM_)+U8^&<21Kme;QI9Qu^A^=#x^*YC3$BMy5(c<6sNaUo0N}d z9cNo^DEGG~n2}iD!ouo|+|jyw+0%nt2{oGq#?=&kfb@7;gVn{$)7IPL+b6Qbqh+&^@M7=ndJI=S zsKHI!9B1yvTsU_>hr>=g5r-E%Y^FPKfu~xly7BfCV|&d-*)}q5n#@=i9}Xqg8#@=2P!epQS~M*F~_X^zx$bU5H2H|HoQGnXfAeeAX%g6*Xc^klDvKQ=!Npp zjGmk{@E4ipLDd2dqBVT8Vd^)1ct2@UAc_C9-^VVBGPd8brYST1W(S@EF zgdtSsl&9^!Y<;$LZT3DG22}IKr&qI~bf|cOVPKjHtlx)^{K76Rk97Uxg>Tb4}fmK z!r~P0@vF~{g@mGYHje=$Dsa7VP;NdwKmFeAoVw86?Q<1~3@+p?Sh4dpkXPR2xPh&5 zWVyPETUb`@wvi3K8k)Ms_-5JFl6W3$B%~#1Gj>(d5@=MP$;X@N7QL|It-8K^`0nQV z^ftNMTva(!aL-~>{AMUiuNYhnzPBB#RDHvuaU3emfV@23OFG zBXL6_KHG+HH!|btVd%)MC_fVRFy7pKTT&+!c?8hCe0caWMxCf3|J$)M&!W6-A?gy3 z)$BArt_t+Bbsrchrxx0SuK~v6eKX=Bdxa~u6>-Xaa2TnoIJ=lpGdJ5?tu1}8a z4yKM3ihdAa%Ydw5n!G8yR!KFIWDU~{T!V5n)za^7rJxc^@&+^Ya3TQHZaz8zaHd`m9N8N5G?!73HMlK8FI#>bT>AZ(k6Ic8 zGS%(7BD5AuAvbxDF<3uSM*#amGYy@;_t4l?o8P{y-=(jBePO99ID1-mjUCESL*hCq zl)dWqX&dwW`0>hm<7-HZb-Z)w1V4l6JL<_{%I{Xgj_Nwb;@d`ijM`?z?%4IayB`L3 z5vHos0(jUsGbe8lU4tFe`R#DrYMgMFah6?Ipg`APZK0kOUxRP$;A_y^t7_}2`Qd5{ zzJ+n;Bk2}SthS(6umzEe2j~^7r9M4<;uOf=ck$D$K5d%?ajGS@pIEFL_fb_FmmaVq zxcsG-{#gz01>IZyk|GsCj2OGk^BbuDL zEQ^afxDRYgw|1Kb#o{b``6owTgLl@(K1=`2Lo1ydB^|7HpG3%qFV}1s*LkG^ zBgR98(caO>NUV0EN(KMxx<};3AdizOyP}_{L&HCNW7``1v+FL;-Ex`v8UTN+7C_BQ zgn*bLvn0>>Ha)NCOY}O$?F~<5rEfFGXcO=Eq^bdUe5caWXIVEb>b?B|DKt25&7Hzc zdnm1f8N?c>h|Q|8CHtmZB>IXpID*FKE6kv@-8c`hW*a#RLj&`$))#8fz*!~b53nk= z8EqKNX@+52Zj|j%Ed3jdAGVe?$ufeY5f0_p^7NV2jE-D5hi|W6ohGvEvRu@hXY^>mXmfKhw`?cp!Cy%{rC;Q`+oHIo3#SYZFP&FSmeF za{)EONX>d|z1dB_I#ZLBuIcz$9l1fhaINNz9!t#&Y6@^!n!}5G09=+f*0`O~M|n5P zSu%`)R0}QN?28l6Jn%4TW1iee;bJtcqVrw9wNmZ6*ej$>xMkOdi5e-7A) zN#1^w_H|1dF*x&imrnmF6kgV*3Vkq_UD18(ojfnoU9Q$Oz3oy{A7C@U6&1n z$EK4GJ?>G1D!s%pj}sHlq;~f{FdC;;+JS$Sy@(vfwiC1P`ng&tvG{>jpH^#VIDDDA zWS8D;v~<=mbUj`7PJ`D|xy{FFYTbl%?Ghj)f<-`+B+Y(MtRcz)mL;XpFe zEngQ_#7PYa4kWVz@@~<)o4NZZP7i|RyJjp!Te4ZdWH{KX{z;q04jbW|lDjGAR0`l- zvgL%|xx&23Df~NB`ufo%|IT|~`p)f^H|nf#CuxP4+~43%+IKr-_}5Hh{kV#}sNL_= ze1YM#-IjL84`>z-M!!o#p0%0mK>O_E@@Yh5>ATsci1u>(%AtHe{8zVLY7MZOWZzC{ z0qI1doAswq9$~4SlxGb0LwT8jWmtJT&iVS?K|4GU{th}{Y|ngOa|qFgrtC1Fx@(Q^ zZ!K0&{T`|ere8-ooqkt_j(j?9IMDlcm>N6ftQPm;SR7Th7h4i}mg&WUXH2)~NU&py zYLz@prR$58=`)`Idb0O!m3MpyQ-nER`_RX>b#riUtm<&%(k^`42oL(v?>&wq{M2DO zq5bOqQy%hu^75!8y?cj0fK`Q!L6);o*cS84C;1M#WIfOZYcpHIM3PR$VN3iOAm|n| zsKcn6JkLLQ`})t?p6c62VN-yu%QRFx4n|~~upD+YmR{^cuMR!a<1l#kyN-3(IGdRr z7Uiy`X7KH`Wm9X1g|is6L9(qSXYk>6O~#vYf>3tE6quj1vgUmxkaGt=ayR2OYuZno zZz&^a&)Th0?rt_m;Ks5J8<=VrrIrsu4y`x7uYm= zJ`Z!P9F`nobys)v@%HVWJRTE!J>Cr*(4;i6x3Q&;JJ+b=2lS#x>H4PUI@yB>1=yaJ^^NTe5v@vww8Tzj=3JQzd_g zD}5|{+McZyfna%?)O^>~KJ@dpZC0x(jXC@F5v(@`Qk#-(A`BRJ`Zd-RHO%r|bg-@~ zjN#a{I|IrM)x)>%Vm39a9DtODVqQR`2{w+c{CxMBv2^m~Cr(=W`MAQ$ zF9lTIylq@jke_H7YGhE3hU54d;r@Yg-G@=am`AKLACYwnA4d$d1~;GX?$x5=$m8p!( zuCDui>83K>LGJ0j#JW%O1<%9E&E{^*qT5|{=NbX3&uT$?d>dAB4G~UjaD7^!fZl#x z==%0;%5>G+Vt?iMB>UxEz<5$WX36MrLH)obNf%h)ckTuC92fV=Bq3~{1|`}qn31Z+ zg>m~w7o_4;FSOd4-9m2CGU6qg8efSbv`3WtR?V$j^C~po$1$V}Rd$RX7tGjj@8DZ1 z2bM0FcQqbq-`(kS!9c6`f+hwh>0ANq39r`x8v z^MYx^9b%iZ8<(g?fJ>vAU2{-&d_i(o?-+pSuB%nBCODbtgqj5kxHTxJ?(q`ry{{BFyJK&uLPEm2K{7I@U zj@+gLarfP=2e^#4!{cCz^Q7!>WGyW%mK|}I-HZdGb zudA?ci&V5zZU?T>P8hs@`*BicuGt6Xl6VzAN7lzjiy@_|^O8ulg9 zhB$7U4;S~vOch?-{Xr;H(1^GSb}lT3Q~Edn;^D?{7Z@Rq|pXpQ<5h!G~$xhLfzr`P?dpNbn5LPLD zT<@Chq$eOjycw!0^?d{m$%1|K^KeeWs^Uy>SSIdlX6t}mTH$Q-sk8$JYpMQD@ufS4$9pmDZ|UK2Of5(~;##+Fo6{+s$ZaN}hq! zW25io!--~&698eI>5e;=D|KY#fHL=3m+T>aM~|NxS`5Dp$V{`d>3+91cR+JS&;{rJMvisf)1 z$CN4QsO$JXx9n1x9N=L!jcu@QfT3I<|M-eSXg*f%n%+$g-=3cKFJ(6lq^$B76V@GM z0R~=R=`}39o3*L2HEb4NnyFu`@*Jspcze)lE>*Xch&f~R znqzRb9&gPtI+dUE+e^%1q^@a(rO?L)YK5nF@|Vn-I&MacMB~R`FZp7a45Tu*VK-U& zw9uEOwtz}z8t381PItSi;}NGCaB#AbjQs5@f+RMZ9d;w0D^7FVTD)aLr36FNcxd(3J`0L@Rgbd(iv`K)ucHy z@JSSxb7BnE_H6flXvUq)mr8yTcSlXi)t5e#n<+GEOYoE2z;4o!*bY%C&S!cTM^6*5 zO0p6=h#dWV{3yVt1bd0uJSi2o7B4;xCw03+v;-Rn^-gk^q+SJe$qZ-JJp-228=@#>EVng55sDyW9N`wkh;9^%$k*=bgfe!vAUY zW<{ItRhmmM?6%lA2MoI-)y3heTQ@_EYImZQ(~{$C03&LC3cMO9Plu3Ftm#xafble= zFlS{A01Z#$1GYvBE@I8XEX0WqkP;qq4)omFgusAnQL<+ zHtj*=M7aikQleOdCucQCPnxwes|Wi0^syjez2`5IoXqQ35y^?rVw@QDLg6U6!<+^| zah%+tN#mwforRBKW)UjGq&V5venrkio>w^DKTkqGD9Oea6h--ogxS zHTA^Yv8%JCS4?_+`x=3uW_jEFh?=J`XWHJdC@wFazZTaSxCQ{NS<}mj)?`B$b{o=B ztsC$(U~_cb`Jo&jFW%li_uKH@;kn>}Y_xC;Zb~!bJw^+=$u`-c$Ql#CH)@d>`q1HA z@lp{0aCGM|zXi59n*w~_=n?y;=ZBa7Nlr)MK{%vFVAs=jBqC0Ic;*i?jt!t8tt^S| z2;_Nd5bemSQy+k-wV3OUVrH8iFtsi-i{Qii)yw!H1ohc58-@1>bZK0|oZ$qKfxN%= zlPA_u#A7O=rF^8Bti@oo%p* z&TIYs$+5ueV=r=?vkyj5)45@&{K>wy*w5Y1)JVVdqgntZAjnS?=lGln<+P3 zg+W{Fmd8UmNI&%T$G0nOg@C*{a$L{nK(H|a-tuvi0Pf5*0*VpeN=U+Bl6bwHA2%Yh zdvf*1I zA^7$CZ-&}oosxUzsq9Qkhv+&bz+vkia0eJH%zwf8N(PI1Cmi5nU2&t_zra{wUH~pt zOvKYth-u=@pwudK$P{%OFO`M zVcarYt>*P{vG%PczV!jXSv#q6=DdlY!*i&PY3_L>4rYM#!fdQmYi8_MQyty?7}+F7 zG`i~E{o83&8Pmwse7=I`VqY80094JkZuZjY?*P7Mr;{4%WbFU z+lS*@XJ^X?B43r6UtqoY_$=Y2)$eW@p>Jw{Puo2ARN-JdzIpQo__R%L*3&sJ^I*=N zOJOkPV}%)D&$cZ@Vt51fWorc{j9;?+{4MR2+}IkTYMEU#BGv1`mW7%~+#kUQTc%%h|S?JB{Lrz;((s z@wyMtRIfCJ0ZqIiKm*W3o8g@CtB&Vke=}jaBLNqweUnVY%n|ziB>3h4j?oStJV>tQ z+670_YMCl%tmem_qhCjOoeO1i?b@#aVp2^4m1ExlRF1(I_-c3!wI6bJFAKBvcf;S_ z^X<(n8B=!$FhD)f-8RgSh5_c1mcF~MtOJ6%q^9%P>c{tDE_5U>vHqqQ_J8%~@F=ZD zwFUGgj%;M3kKqw8lw#vmL;V(>Zpy8mjw8vZ-!pCEAiIf$o3l9h7+0$6boVK%I!Anhc-uyxop4)(`+L&bwX%r|5<>$=ji?eE7FMuXJ$R$@$Nh%{YP3 zTtM!MmWq#XR~~;hKrz<=@RLWJ8}<7Ro*otlU!Q?|QJwRBv71P4%oXbEBwQzMh(k}n z*D;c*?39SbMaTV4pAN5w)V_pA9Vf!ykA4kBlPe$iCVIWS3R1LlL)A!fW*X3zyi7eK zXBT#Ect|4b%hXQNkE&%C%bOC(nZl4Pb3m>FMh@U4J4E7aEPC_wh zSHAA_`Q2y>yn51(oSv@B9iG@B=GV-ihp8}O*ERG9T6}&1(uKA@LDB6f*#fzTlcw-p z0ZYJgHNSv>5#l&MhkS7~Oh)dvTQlc7VnE&ee1}WWTM{* zGo{&`(7O|c$r!~y$q_R2Jax+9|0 ze>JC@nvBE#E=S8mYFNTMAK5eeZptYS`#t-gk^AE zrFPcpFrTKPg3bk6&4gjFq^H{#XC0OeulS6~Hi2@y3&RA+(GI|irMDbQFqKtKbz#MW zsD?}E1ne=|zKxB;?_7b^Rx<%Wd9mJ;Ov6%;)h;{M zb`EP&2^$t%a)dK!?CqYyA1A`!lSyYH{9P;0bTv_ItdXVD^>ou z>6u4~3HD!WDLxN8=G`V|i+zVT<1jm7+yh;iXaZ)7!z($GeuqnIXBzuw>t8@78)b)3 zmd@XY6OIrnIB9Y;3%+FMKB*EzJ*X^hxOO@xE1Q#hO;{KWE7(}~h*O}sWj2pfATVsU z;FRM4YSVO$#Sue;qd{!-b5Dk)iRfxalkmglG%k$V^?MLFLWTRu+e0UHyCXUn%>6rM zm+Vsf$xb+9Keqtx@XJ=pRrHfaMg#xk6;u!Wl(qj{+sSOfoWiKi-&x7kAY#aWa>UEp z@6D72I-Vzts|H5cEPgwHWT}g`nM=Ldzlu~{`qi(Id8&FTyLPMb{Ic00m*e+CB>&3$f9ju&bv!kiJRnzJ7%-O2yF&}t=}EKVs$MJXXk)KY`OcB zD0>YHA24VQs2gjb7kn0ABbSjb^V-qsqmS$q&^@+*x5CH&+<@7_sI~ z7|NPoE~lpZ{mejo@lSU3rEyj0fyHN-&!j!Q-gfRbk*98M@iL0O&|8-xMW0z^`0gIG zRGhbccnlEVG~Cj+)aJuAqshVU#NQbEY>DAvHawwBnC_hxTF*P&kC7xl*$*__5gB@J z)1G1t&lB&S?vh+8Z92UGw}BpkS88RfNOpYD&)YnNM2JsdpK~iNX9Xln;3O1UQ$wE; zf$X$8Oa!uzOU*jFFFG_c%)Y;bWu6E`H;q(7;*@|!^UF_5-k;fn)RKZ<9p5&h%NV~D3rsR#@WDNa_a}l;T?rB?$_6$gK?^kQi5TiQLb4J8sUtm zop2(ee4E1(UxyHK&6mM3h!FB-yo40}OmkElSclea9C#HhRGR%hT%ROT@h9#-=b8rR zXrHZ0)Y(RmW^xG|!I>$Qdo*tvwKQVPZ8P9e0?6)SI~jWt&~6XMpy&%S$rvWE-8V(U z1hjj%^ez2FN3$iJ%0Vjuu-(VbSo+x~Hw`5}+27Wdehzu$2U77f&+;>} z+Vq@1mvLZ%17KZWpy$cmG2zEKJ(X8Sz^51G>Go;vgK+Ga?ac0X<_IbP zGm6fdGFGCoF8B-V& zH@KX``aP2-w9ojHO5evc9S(L_zS_Ra?LN-SDyorp0KR3pBww(+%Q6}Nieh(J2)&oZXHFE%t;)v znu2euB~$m#<2(a2EKlHuO^@T*4t6^`oJoABUndNCwmfqoI4x(R{fX5qcMLE2$-!yN zb>&15V^L{O+QkV&pfxNT9#r8Y4OtM=*1HxUvth}_^%CX*zP+3EMs^J_&+dz(n8=+_ zlf?|V1sxnNc_lR7BxUm39+zp(|cOM@UI{(9nISrq}%AAxVdxGLs zpCW4naKr6FGA1})%V)si--QLJaMXN#&Xhv~(fWdZa7$cycrE~gul;BN7d#(nNB^$R z*UwV5=kgxW4eBW9ThFZtW{1?ueyi z3%KEl5e^HKs%BE=-EMldH}{CNqzLdD2g2aZqxo-Z#Uysi4GnkIDUPu25fcTPbD``zdC=1&tUNJ^F`=}1(UKF#Gs@uCIXBFc>!r_XvR&nbJK#ujuYQf2RHt!zwNAp3>jbfGVTi#&3yVIR8 zPX8x+9PFpN-IG3bw`J`56k)PJs9<`Lo(|(GM>Y8sZbiGhx5s3E^=;#jF&~Tk3HR<1 znIBm6Z*B`G)LAl!@nleoczmRM5MiMQi+PuEpMQ+|3d9>(1GK(7b4bt;oJi)3# z;6lIIs@D#0vLk=V^15mews?7Nekl}xONaFp`wsawQ*^FXD~K=rQ1 zwU^|BT{U1EgDYh1N!MA(wpp%!YBAlWmJaq)H|2!}w8i9`cV!?9{j)JJ{K8$-YS`mw z-dzBqTNov!*vVB|&=@r~8O&+N(bKC2(A9sQ9)86ZnKnAdVnt?7{B868z2xwmpyI)KvXY&WC22C zL2%so2_cfgL~p|aX2^nsad=ycN0NJlSwsz)>QE^=lkL{eImPe-Xvq3WH%9=t6fmHM z6pysJ9^WzVD8mJ9%uH1ms;Lw7TCNKe+G?H)l4s8XDCDY)&d~s5D}j8N30e4Dnr}W zT7DemlD}5YUGx)uO(kq$DK(P0|5-WY;IQ6@xWAPD?k73`M;pL$g>`U=W1^(1qby65 zZ8n0R9M+ev!nbn}>-OV@%c*g6JfN4`1B2Oj>gO;y(=fWgvuCFpd)z(gOXZ)GR&aq= zPbS~SUI7ZrEh2?-jnp)f-5SG{3$%L{�%TuQoh8foAUl0@uD)F>0N}a0$PBDCYF% z3y3ar&QJ>c7RUR(+5EUFf^^UQBb73`RL#cK0HU5;)a#cmnC39nB`I`deu( zTz4U%ld*tuZ0~^kEWI3-Z`;E4Eq$6zKu5uSbNK0g4^eG=`!EfAa$5u&fm12)?ot0F z%?*rw=8fTK+~H`lE+4@!$kDs6W~-MEr+*=H&DtJa!!Y~>1{P-F z46vG4Apki-xrWara)f?&OCas8N`M?u4zA#!a8{kEA@f^PY$LXxhbaHE`>`%8x z{2>n;;8xJ56~3BOe{{0-__I@;Wfc(;S1tJD_%Ca4|^U&Ft3MO-%guu*Tv16JI z;OsFYE$;^*nrj)lp(Tj(5@(>6XLU3;YqO!THI6HKG(s;B2YT)Tw9W~WI!$;B^bR(# zXoi7pHSIUxYtR9P#C(f6u;gpy3E@0prVIQF9^Iqc!*Xl4Z$H7vPy zt&~dy?;XlcHOAc&w$*O-6c*m%@K{I(u3^;I%d%zT0I zdNtLTnB}X%M>q^up>}?B)4ae%0CFk}yROpSQm+7&YNK+b{~-%7l%1gH6IQorSX7U@(?8 zjK+50!>YK+CUK#B8&>1GWB1#nlSr{;8>ZqTn1u?AXo{tue_MtJpR&GW@4e{1O>?mw zkyL<_JJ%t3J5;Q*hJdJCrDuaeA{kTmrI6rKyT9OjruMi&8R3z+{33Yctbri55{e2x zAl8Dd$D4b3^tR?`UVcmS=p6eoV&&8rZ6(j$rfs{VF9$mNdRaEIk>!@_PHR0WRS#29 zyHgF(ns)eIzg6a32;Tnu#B(%`x`Qs&s(#QUQT|WQ45Ez5pBVx?Zq-LHqE!7p!mcZM zd7w+@%g0GZmi+}&@ZsG!%-B&=qiog~v=n&68?ZZ?JvK6u)spHrV-Rst z0CsodoHoqwrhXnaCNvXmUz$YADMJZ3-mu4~eq6yAwD_{+yp}_S-xWBS?}(&TWp*TCVevfQTo$MeY7RrCu&tPc@CL_iP;p#8$AW(D2fX+h3K zvB$xVg_DOPefx17C@$qPLgwHxKYq(kr7CBp8> zP_PpMn?nm+upXRuD3^dW6v{Q2YAfXtM^F8J)As85*vnC07|@CZx^SofXMN(JykStg zQPLaPvMfe(@omlFcawz&B_`FH4Rc$)Zre?R+cn;AnAmL6vaY@50E?Y$Y?R#ABq=4V z-#}tEq*j(`&D$+eJkjKM&{j(}w|Y8_2z%2p*A@>bk;Dvki=*v$BmLPdRy_wDIo~1UR_l_^-+eW0@ zh+h)uCRNs zpVu__PWLT`>kas%&8^D)u#rj2uy%YO3=4^qVK+}T%<2O%z4WM|x&ZrHfxUu^#wS7Rv_4xu?`O6;{!3I5yvyiaU*KxovD;~hs$vFsim}HNm ztU36ZTusLwRri}Sh{(SU_83>WRs8sqrYP8A+Epo-`RgLeHgVcoFC^}ie)T6hNdm_^ z2(tq#fG-0Qx}@6!n#_|8z{SNO?7W@uwF~p!!2FtHjS4Mrx;3dwV+X#9gK(UP3fhvx zwTeyxK}+$V^1%z!k0-1zSX0i8%J|8#ZL{rwp1o9Tn;y?3wi4*BLpfMP`Mr}d9zw`< z-2fIY@fLCam^SUaK$xlC% ztNXkNTTWRpV`#IbfqgIFsj8u73NHvZYF`I8W6ZL;>1T`F(hU)L-z9oZ zAK1b+*$zJE-`VhCx^auO8E&EHNCLZo!%!$s4-&M>%;LO!l$2H4YYu;=Zp*K$5g9;#OmJFD_L zlH9Q{ra?CE8cW+@zvjod3)9}ca}w*l_Jd5@@KD|fv9RHfbP9mS(#df7>Gwp>^=h4% z5Nh`0XH;#-JHkY1f!y#(`pNK6Zkb^FCp(i6O`3ZLqFm}~qWdm--a|+1{s?#@_tpj- zxaTP1`vFAo=+DXvJ=~s~vbP>J0=On^q;Lh@aTM74IXPrEl7-b&7q}@cR!<)nA#I$k zJ79cUw>xZ_L|s31^2@fAeW7_A20MYaS+nMRFSPvc?O;4=Ry$IsYKX#5d6BW3Zb}0n z@b-QKc3HO`>{lud$?7#>)Qt|nVNDzw%V^#WFJxLZm^aKk2>RKL96as72|3bNk4UD$ znZ`6>@;Or7hF8(dQ4&4YLpwhi)^iU`NAE0sw@-B9Kz^c|<9SqqhtU>D+8XF%yt^%2 zjA}D|=jwm5%@lO)&PuD&Rft%OeMbsD)->j=6x(fTg+T@Oc2C08 zhaW%X(JTm;p>4~2)wyBrd>0%GYBp|6@EF>$>{DsWTbb=}TzR9DdLuN$v;xi{gl1Sa z9WJN8=@5yxI%Q9ysJn*`Wac2jLCX*oe(AU^v=} zp%@;`#K)U;yS4(j2hBvp1(oi=dPnT(p0I#}==AETx_CGAn`9k>J1}hxr@Li)6%_`3 z!A$FXdt^bDx%oK0fS%}mJaUe>w}J*((yHmYZ82icEI8w`)&E%qP8hE4@%I@5iO)wPwTYN^|Le35f-%J zCp>o-0h|2=;%!8M)TEap3dHw+4Y4(HnDwSxvE3~leD`M7u-CcT&tLZ!K3x8~t1r$? zzc=e-?(m2*x#TvRbobXiz2Sna>DLofD*Q6UpxB9-nKtI=~y>-X)O$6?K#&4nke^M&hR z=u13vC=q`@(JYb$D&7HAy$7%9=Sa*|Rd|54C2Q=cuxl zn!z5|ShqRS)H@#`OMap`-%ZQJvOKt#Yr>%$aKxs0z7^C?`gsIKRO9Pf7C+q(;pvri z0ix-fDB)1f&b>JvGS@cj3jlUg4c%7BmcTZ+Rg*u{U zJkIq^dZGiz;7Fw%H^*!I{m!jB&C9crh4p-~giyCRi~_O&RVhbmKb8g`prPis*zflR%7RfhKzWa**=T?Qs%hAD89Py&T?UEl=U1yL|_w4elUn#g4fA*>g!AJsdmU z$C~WOBf^y$5hwv{Jxm|!Fcenwd~TqlRQ}up>p=jCdVuS2Io^azqMNH(biK)_rev(M zcK+DB5X1$XqzC|+ce_1^@GuA_I~=)5>ve`6@Q3;Sb|{bQgPi zrDm<3qVcHyfve@oR$>@5RYXHA?E+_D9*UOu9YD-Z@hoK^N z1Yo^9;+U?;15dY}{aBB-BFi?*>OKeQAv?8a@bQ5s+w(oK@E#$i9Er7$T$Miawq7q+ zi+T`7t(ATsUt+L62o~|gp{xob;?;p%c^pw0yxPB=HA&n}zU2)gYfOeZ&V8>yrQS=zj$vQ@|Z8q-d zVXxG$Gx*sguWXDyq&N%f&QGjiYU-5R1wkA*talc@IjCW^*hFxUIdDhY$^TG{OhHq3 zJI`EUJ&G%}JYF2Qr!9|BlWc2LJ9_#=h6cW@Vz%5U+Jj`b`tFbI0(Z1U!%$mn5m0(` z`%Z+q2kz*4gHg}Temf+#NKVMNw@8Gc!rS%e08&7$zw+hH&ARMBq^hVE&7rpky{~3O z>rRTe`ML{-J(7RBPP-V$1Alc2Up(+vTVxHz@g@7wAywQRwoFc;6^~MoFmM5+bDBkc zd{g9}p#BBd^kqOfZGN#6NOt=)hjj~}t2NV%rMOET&hx6VIWN1Airaw%VY6c|H%~WZ zu&JKAufc6yv{o#A`EU2`-#zFZII=Czr9N-1$SuQ;TTUxQH3|f9HCcX73#+w>zLQOL z93b+x6;T{1Hsz4+&Gtc7e@8Di-M+IU_`r|tczss(l&~!D?MT8V?Sr=mSAzc>+6Oxa ze&~KTJ}|iXx;iOePiUhY6z|+encAb?l>$6zE9on}D!+smpA$wO5R-N5T8?;lk&D4c zIA-BHUY8~7z*B57BCI@iEKkFWu7Tq>q4y66$6Q&bcr%Cbc?6H$O$BsfrepHk$8n1i z%bF$EJz|>~fq3BbHT8uRpW9PNQd}2ZC%L=w!*vZ_T~G1DcVWa`f}#VzY;j;|;f3z} zNNVRDW)`l5$m21uS@U$K#3XR@Fi*!-r+XwQ=gW_0)1+nXkS)v%>a5HOB7S^1Qz5H~ z7e%vpGC}SESD0IL2IWYQz#bh&GH=ZasxS+2V@9%r6dUmlu)Erm z80-Sx4wIEc8`Hh5daGHQ$MiS$*JzIQ(+LC#qKok)u&SIXwrcWqJzVoe58$9+Jbrq@ z-8*zY9Z-Xnl-=Qsn+Jy-GcRWWf1YlnpZa+^2xF_?kqg{Ngjj+1h&A9SbhrwCzYJc~ z*Fo83e2s%GvH~i`WuBZ}4kc3o!OBeg1xUQ?u*~{wvmTSBHrFTE~ABixa+}#dd`;{c8_NQt3AQZVc5ct4_Z(0rajx|P#JUdKTkfiXX zvU}mtcj6gVWSm&8DbGj$hDSeX*ej@-wHP3Of#RW9Yp(j)VS8>;7qxS_bly1jTU{*Qa@5B~b)8I-s z$`OLJ&+dVKXKkEXfG)J3h{?R~k_y-Qg%lkG1h)&ZJO~JOzpzRVeEin$f#Bk_fOFp5 z5j#tvwd%nP)@bO~40a-Ina7MCS7#u8p^W%VKbZ|r@9j0e*>HccW18N8+ zTsOxqORvsr#}N!)y?LBJ$vc9>*s$k9dR6zxlO_e{w368<4yhHRY2nN_Y3bMQ$kQ!( zS~oV;wmGdM7h*6cnoCG6`&&xPHAdw+od4WT;p@L6gs%O1R~@+Ss|EgYdcb+_p|rXo z7=iWWqr1sUKaWh!eBi4$96KdP_j1iUk!68VWal`&oeWHj>eXkl6>cJWsw*c_>}bJ- zGhWs*t^@GJ8(|>dwVb1g_b#7xdUSQ;+LAI+o3??QL>>#YXw<}@Z=9CA$I%khe z&!JN6k>DLR*^Ug$i#!^NX1MuX8O`CgCR;$lw9j(zc--%n(y4Zs?p9%999-~PkD>3J z=E|Q^?nnm6STtE@>mlnI?2y;>i;lgx-ty*G51}lor%t4D2WRE~%5?@@X zPEXsdyS4+ihBfYXlsfr}aN$zD+Z_>!sxRBe&HF48QCDiq(<(W`RjVGPAwy!UPZ}k?nh$a|yFXfc+7s?&R;3sXlzNyM zD(owoF3_-6{`qygVK_HommD!Me!;VO3@sct>GRS+MOuoBR)*{+|7pKF-gR%g!E>+^ z%k#T1+^cW39&S5SD-8FvZ@axa{%Wa8Jn>(CW?Wg`aFVB!615{atm&G5Jx=mueZU3B z(=BWJ8N|sFSMdMq_a%<6U(;%fL$r`PE7Up5xv-|S%(7D_9ng?xkmRb`^k8avvobx+ z^U_k)?+HLp?9essOZP>$sc~-(CX>UQsF{JB6iL0rg)lP@dn96;j@M3^QhlUrOK4P00XQZ4_~=74k-cF49e zN{N^U$u+POO&4NuQhUNqt<|eqkuzrt!G-XS57i>b_HD5mgy74Tq5U3-EVKoYj~^Gz z@@Km{L$1#4)!`b%w$^NsFK*ZcJJwnqnkP*0N;ThZ=CTJooMdRmAb*9bG*s*EaY2O4 z;lj3sTuTqk)Xs&kB8PhuRp4+wkEJTekBRA_wuf$S)+u|y;jbEp$YN3Nk?(gQCb89E zn$|sz$u)?bRbp&4TT14*RO?!KMx5sfNBUh@ku6orKJr`4tP9XQZfdArYXS2`p?bKG zjwL^Fd-w^73vt2mq{A;b7X4F+9!z7S0~`M(HNyq&{J$4g-A_ZDhBdzvHf(crO8uVh z`{~_ecWWKZU&ZojUAy4_Q-Ks)IA#1klHAb8I$ly(72*Gv_w3WhHKtQsT8LT>%7 zCz?~p*_U~yU^`SGk+?xex?R`_$qG3LHz<1S`;baC13fS_UJwwtOsiIbv4Jj4Ua+Pb zenA^1@_pA!>4Xa>^6;wA>-sNxWYP=sYbgyfCO;X;w7aU(+=% zINESZzlNP&&2B3z0`1IoCh<77STBVK+>Er^2)Cz7pW3crn>YPWYYB|=Zu*DJa5-ZY z)FyL`x%amnYdj%h&a#X(yRc#}t#-v{8>@Ys0Ov@DK=vXFnzP?U6@(Q}?=0?sux>+~ zTlI(*U2rCut>p^Va`s}^dIod1^W)oFT7=7LM<<)*4U*DQ z(@$N%AhoP7Axg~AR=ENtB4 zY2q-i@T^uCmU10yrI4Xc)snnjW)EP_+i^jLy>iW8R2|R*4p7pdM`Oex-!6FE4V9wb zg*Zm>L{Um`z1UlkA>7g*HM0(NfKs%S8>|C2t?)I+py3@J#kv{!6)u7gR0i%IoR|g`pasDVj}JoN|{Oy|~~E zTEpG~KevH_re4z=ZKJd4@4|4t34Kd|ZKW*yE^Ple`&x&VOjWc;5=wjE65-p|cQ?Tk zG>r>AEEJMmgUD*Pt9W z9uP`nN@~}4ZI5&GS+_kN``84*7O0vJ8;1xIwYcJ`a>HS*b*vzf%Tx8^8IO zl?o_f{^34S5VB+8j#fbUul40jY|f}ouB5y5X;GMLzx*BX%=>lN^P%Wx2 zVm4F|tmCm>s(0Nnp7qx7blWtnSa0&eR|8k05s#1_+Ypak@EnNSFZfYd{)U3c9a$>$ zie7`nK-KJ?7JPp8fFHMKQN6n-7U_0_)A!5HSP;Nt?5x(lqh=O-T(~4Yc84phYRuty zreW3mtqq>PL(Myb5lYpLz#Dn73Lk25e+n`WR7 zU&{}*)yi;1)mml+Tk24yJf=>*(t^O7!{@)YRBVj8Fg4-rJZ1=etWB z<9dvupxG4mhWXl4^cQl)&SYnQ+ve; zzq@8#=b^xC2UAy^e`=^X$?&M7u#7JS6pxm3M{5o^9>)a+{w_qmnXYB4-=xf2vM05) zmsCG2AG?3VBBc`RcE3Zh5{_vWQ>_E*-} z@DQ8xLap=LU(L^>lN%hwo;t)XgzZXWD?G+?ncRKP_98q=T&LIqm$C8bXfIp%qDHi}_Pu|)!c5bc*DPHjC znx)=GmlGfy9Tv&^XvQ$LeAHf*nQ2^Ma@#*UsG$Ht zmgTu<*JW^yt+!hjx_i{S-{MX!Y3*=HwtV(TVKthoBQgo-Q-`nFQ(gG~bM@v*6ZE>0 z*sGivM~?m*#hsLU&5@^PkRd}-gqCq8^zQ0JW`g{V(-CA>aVst$kVuS{stOg58sV)1 zd@tlQ8QoRVbn?saraj7y0`Hsi=K)6#E&6|15H702lCf6I=yDg) z9cl~*{h@xZjJv`634;-M7Qv3W9_>E-B0Y~!(E zjk9zhgpdSpHqo>`bLxSNIHwr{4+73Pim>4NG#2GB!>UwCU9f9PqcfDTBx-y-Af{uC z5fAaZb0wTIMaE303JS^dH}Us;RAVqp>Vn-_&CK8=JWYb0R2M$>3|2?({6|mNgXd5Q zGN;2&&?He{cceVjG{DQZ^seDrKGAi{fR(ZQ`A8AbPXIl3W{abvYM$)8bn}g!2x1m_ zd|?ZZ6lB(=zue3WJdZyGI{a+QRCL!F8@(E zm0<(g4*;-iPiEaycgFYB{TkLBnNe6mg3)Pr5Rr>!>NN@_}agfqO+*BFa-hx5J=rcmTwgXK*9b)y0^VliU2{ z_IAu3sYwU$xJH&&wR73mxibJiZapP?g>AQnA-Y7fYJ#^3ys4jU+uVIBaM#+N8XqV< z*TQ6m?PSrf`lY^!w%+)J?y{}Abx z{3??fmMUW}uPq&fIV)!Qp{ET6%bvIg<;YVnq!suf!#mn)Y?-Z)$`)px*Ydsq5a%Suuc= ztcGtapMDfQYO~gwLR>`zgssh-?fPx+VyRM*$-mA$sp2YH-yz-(z&_M&vqcaEP;Zz6 zYLhGOs#-N{~UwM^cJz$?Wk8Qa2V)BcvQquRLS3NNt zc!<*bFK205_svpk0xP%?;f`F)+@hRj2fo;HE3VD5jGduJMh55QVgQVq9coRFn5Vd_ z;`GF3%YK`WpiWB}d3bP!^&3@<^BnhRF@JJc??$1Pw>)~)h_+suX=K0=Y(3u>cWr~_ zSZx%Q|l;Pqh;!Qp$h$q3L*56(U{~DO3n6HQljyetEs3>ygT7VLY1hDc^FvMc zZWbeFS%P9O74i-t!@QA`B^u?n{6bRuapMH6yI+DUWHfbySm)Z;zxN9a3g4ApDsbH% zP^PUnAXcCP=Pj%Sw}NgLlcA+SO&M-6Eb%9O3hL~PuBkHh5%;9_Kf;(G?MUo{Y0x9q zXFCdD_@&W6Mzi`;>*yp9f9REz&AI3Gb7?%;igN)(p(3eZDcP5u3>j98HLm)AhQ|YJ z2aw^8PCA&8Hb}N(7_3S+qB?>cXIwd{j$~owR0A?xK^mqq3|D3erKfpU|Jx8s#Z85R zL{pKCDl2V;hZzqK2Op{4dU=ikDL$X237V54bn;?`v8IdbAHZ>W?DCiba$Lb8I9;Kq zk&&5Ywqig#i)=|v$psKla_I>5L0Tf7xj_s&jZAg5nNC%kFjPCz2^MA8t%TOYIudd- z3P%Sw*asw0hdJ>i6+sarf^U5RTv_!ES;R0;D%Z%cvl(I2b&TwX#>W1mI@h46d4aZd zkWLHtSC+`=(wG!{!A_(^>D4ji(81!ZE#!5fLIq=tD2t!xhQ@#e(Ae{%9)>r$pb{KM z1aA{blrl1$2hW*6qsyAi^pruOYE*)w^?Q4{5+J3FE$>#IA>*>NYQ2F-Lgx}&0l=D+ z=xq5mOlxS(BE-X=S03qym7bR3I@1nfrF|l4T)gUkn~g$J>jB3K;<*pZyJYpacGe(o zkr`Z1m`#~`JwWWT_j7ci>FJUiJ2Ntpu-@2SkWCL5(?RH71&E#d3jeQ;g-MW74G6nF zF^jC$VM_RzkYAc)iN>5%$?J(_jDea}lU;>_JMBQCV{taSJ5d*2r*BiM>xG^tEz{B` zX>A1x-m#HXf-m)y=B6D`3E8MnQ9WRniZD2GSXC43fwDDJJvUHwv)jHw-2(VDCbWY z5gup7I?X{rkGcw-mp4b1kXRz_`_rtL)NWKD?WG83(#|}TPG^#uxz~v5BLp9-T!yP_ zB-6q5=mngpm+cEVTTn3GgrN?bl7Kl5w%t*QSwkNt>z+RFHp8-u80qb=S28$|Dm95N zVXeRP_BpOoVs2yWG`7cn4pdYBGVa&l*nv{*apbIUA*gRNj}-}P>49O{s&MM!-Ziz8 zsL++Wt_txqnOcEKXrZey+z`$q9>5Dh+#HQ*Lk{TdQsIR#pAB)P7&N#(;DhjP)9bTB zo+*R7X`-x9FN(uvs=(w6;-ih!4obOxbKs_nI_esnj`f>@Ts_rf=Kr~zc~0KDYIE6fJqMqv4SzndTvhS z`Pr3BboH8Ewvbq*|0f56`3Ck>b zJSq_Gs=TT`uw{7(^Nn3B<#K2)xemLv6LhMXya|cG4Sba%aFxE5e5`n+98!TczZd+y27Dt19W$~Yet>hG?5x>xSD7S9eTjj zjl7(Ki|f@BA|BQj8b>c|QxHmTiV#?w>oh0-GHOQo)Dt(39!o7fqh>OlyIW;imI^

L0Cs>c&>;Dn^jcnBUlBr`4lFoE)LrVk71?Lt%pki zt}U7(JdHs6#c|<;2-+_*S}Vt{d^*73*&>w}w{?(p@%-Xev=jWSePs9S$EPB+h6z%t z!Pm9kO8fTMDxDV--jraEkt-U%FvKWFWo6$J4?Xop5}Hvp1)?q^=2*$_{Y{G+HXbS4 zmA)1l){##7bRela@fbXqLDwa`8&^5_x`YAd&K}{j-US9jlH8g(Rx9x@s&v^?W~q{8 z#L!uKW!niz3uf5}!&}=X=mXbCrOgi_S$Nx)NK5-TXSObN`1dCHC6F_~eqYF#^y z&wlMi2z#YSYJ(3{108gBoKW75>s?(VcoioWlV(_xo(ncM?hDizg5OHUM6QCn5Bm!Ubrg%2igtE~pZiJ~qfLwHbmm8_g+n z5}rZ%rhN!3AxmaIbh-P|HfYD z1Gbtg?bv2K&D!Vh&%Lj~OlW;B(^`w1PYpy#!BTE>XaiG{4$vNH%TPhfiFB7sdBm?m z#&A?V)j1qdl2*g^-MvsxOe^*~TQyBaPT+Kd1C{h=90w?uq=T6(VkJbmv5aL5Nae^l z#AhFD#I8Q)S;h8|+|=2U+KB59xVr2>y{@SE=^ z(3(Aws!#04iRK<7717gtRLVbR?~FFpKJ(bzgolH2*A zU@LxCMN8|=(*Nt#j5U~!_jl(GEXOve@d4Zm%-p3%rsEPs><#2xm&(G7EnNtu(*|oX zts)$bmL3RgDx;+97=Mi#i|NsANTE|^1CE(Cx)EYt3sbMGcARoB_0kB` z_$kBE%ae_-6wACv=~M&p`Qlhc{Lle=maJ2mQFUt2d7$--bxHk8gGtxn{n)7LgC?Ii z<}_l*;9)K#G#~g)CPku9Gh2O;I1T1mhfCxd2QyZCJW?ABwu*@`^+al;2v2WepXFR) zsol&Hly6$UtU66koTN)*5#vk$C4RJ_YpBl99&YOIS z%v(1JKy^ zFVG9AnPA6`0p9%kWSA&tRO=%L+jMeKGHIGIeX0y*t^KDb=;LrNji?W@@ac*Dw+SaT zaPf79HIJ3c=^9)+4}OqyJsQy#ks}_Tx)!k`y0DANarB5WRLQbv-<09tz?>4Wz)H?y zE3lEAXIe)D33){`-F!rl?xclLRw8Iqq4ot+LyIkwbP8y&%Ib3|t(n`l(n(oKbz~bU zk!sG2+EaDGme=tIP1=U_21nyrjZmfcLK~L><1n4t5cRC3mp)6lG<|wuT8Yi|1gyLm zF{XOfQ~kjr9JGjcuQoDZCO2w8<UP1j8|cbj&ACKj)OeN04({A2+2 zO9|SUcGPF>>%l%I36&X%JtI80!E$TtI$KrKRh5?+SZ@1s{D6E+cOR~pu;hxBi_Jn< zGk*0@<23jN7y!(Smb4gbR%#SIda+Xoprlt!A;0y+v5xVm9o?Q7>_~S|xvdY-Ge)-h z-bb=yGGmzVgU&n+mRGyGvW!t*lVyY9wMmIVp$!fM?{p1QtQ3Uoh)u7O_hEX~7WXN` zo)l`P9BYg%YT;gRw1KeeiO^89z;gE9vEXk|P0pxSwpHrfLSSx{0g-+G?HF5IE!(j& zJ}b2v@HcpH;Jk;4Ir{D2j zNa1GMLx-?|2J`9z^J_DChIsP9xGLb4*4epSmwW@al=0pLC&e4PfV8l#K5W?yrc*kj zeVUFZHQ-wQ4$w1rBfSJ}^fYZSoz_3;ZoPeF`s%)vVFftxoDH^6k)^Oz%hW}j11pI` zrSpL$RG?DsgF)vei}}$bD`^`BGm?Xtn=1^Pj(T;NQLna>g*cP|ov|BCor0HZFia6F zmB4avfnN0g((Khm5>bG>38{+IDo{#>HMBf@*e%SV0wyhHR6CkCWi;Oh^oGNzk)G7*;TLWjRYNWGD4?q{#ZT%p95`bY$!A(+@ppX(i2IodVBw)`1tKA zlC7PFIZSG64oAOeC{}Cp^U(vN6F*S6BH+#<4Fzv-(35lJE*0QNf9l6fUOdjLV94TJ zRSAD7aT*A+bk*es6bxDYSwV1_k-nc3=Pc=7rPn^o*jk+kL7DYVHK^Yugfi)%Eo=hz za;*kl5)l$Y7FIs7GZs0&-%h3)>O>F|LhhX06VEowo(?wX_hs1U*MVhOlnJcE!k;9b z(C4q`G(E>2H{{J|q2L#GT(9)U)A5(g3%Os|Mi<1#=-&-e`6%)waT>G&P^sm^rj|%<{ql2BSCNqxJlPcpU+R5*Gvf6t61DQ4^ zkJGLr=7apBM^nx|`a_XXW=>nURFIQy=B}88mj^?sxD2&`SxeRcE?Qu~VabU9UAF-4Q&eK3(?=J^J?D ze6hqT^b8k4(%SyrFxQRE_-!BaPbDd3ZjC9V%!faw!}j8kt}Jwz`AY*d5;eN`#{6=j z@Co4e?>o z$~bmQW*xtcu|1r!9X2T4sERV0%!EhHXh|}%^u(~^n;wAou8aiCupgA_=#v1cPMUmx4$!-dAK4w5zpJX$PuiV%&Q_Pwr>!DrdBWxXDKNO};SJ!Bxg zrtGH$Q+AQ_Z>cZi;sGfb52(;2 zbP#^Mr0Ty62lwP!fG2f-K3Ky=NRdo9(OR=kgtA}rwTC*rU)rBAW=VQYQ`y|15A6?r zx`#gWafRoqO8mqj>{3ffErOzMh_n-L;EWace%sm#{WLrxialT}Yz zqS`o>XIj^(?(fj~Rq6M6zRcmcW;{sY*zlmcdV~SDe|Jy&3~;Uo-M<`s znXyx4%JUyS0uO$qPtSE-5atEYD(#yUPiiQnw00)b>CwZJB~kUdf-L(4(Fd=GW=Qfy zv;e9gYhVU5(h$#2eANn{(mOTBEHjy)xtf5nt`D4~BTBI-GdQ^;EV0m6@y@951uwU! zqdNF|8+rhX{6Tg8a!&f|hZ=W)lW;zQ%r7HP_t+Q)I0@%-L;q!TN4L-e!|XPd=_!Lj zt;*O*0T9b=*+) zhSisa7?4)&9ISTKj8%3x95rFCymyb-_;e_OD1o=3}Qe*_E;a7HxIZ&g;)FLy1=P;fq9>PE{TA&hJ=z~3Mt>f;l$y|Abe z#DZVBJIw%}gEl}tvFz?KRi?vUR6ek5=`0-LG^TOI55RBAql6xpSdi9=0rCccdX~lu zkQ;qkmWsQ`C)5&qzg_H6#n?zB&1npG4l?W6%WU+Ys@W;(a(uR=P>Lm^Ih0mw>`R2+ z)NPYr<=BnxXaLVJ{Zv(k;fh?6{Y&17!*sKimGioP_LYe9VgSTr=7AW%o>ISFD9xZ- zz7R|dqGf8#F|wt_?PK(`l5ah*bvO_zI3kdp@cgXg(zP%-Ujz35Vn_H7t^pu)%9OEq zGRO8c!m3A4;3kV~=|9MUYTW=xy+0h$mrZO5%H`?~eueT5ZA-S7$s(b2epCSi_?^c) zW&}~;xV`Kbk*4RD!wsp5Zf}{RR$ZrMb!$|Q6uZIb*Z13G%-f~3)t6Hl#u95I2!@0G zZ1TYB2(0+Aid2biHGA5WtdUPgWm=;K@I0dFaz;riDyD4Aw=MlPqb*}t6oG)uS zL^9Jhcax1^^jzXR5=Xy5GNv+q1GN@S(|QN@2DO62ztfG8j*TNo4IZ85=q8=xC3*mV z<4^`1-(w~zN49!cBT?*z*coz?LMWAkEQN& z0OTT|P16&pFXeH4!`yXc37%P8s(9P_5In@n>-~XH_($Pg5Xx zk|e(H1I+nnO%A&N^Aa$?9bl@TNQ2K&iW`o0II@W9nYFGoh-oGUEJX@By<}S;wL2qW zC{xpWU$#qrkZtG^jo)MJ>&V4)a-OL~IE41Qci`eC^_%AEwiY8Zj{Il1MuR(GKVt*F zQz?#FrKXLfb9e#ceZBNb3{8mQTo~&Y>7ez8*C*b$( z@%?Ab^-HR&3HJQDv z3{9GLR5lYpGdu3EowX*aW--Hx;E!cgJK2+NW#Uwnp{y&zUfZ$cW{?y=BE}q!i$`z1 z31Fo_#Ze`8aUKjDJM7xV5YuoFT zX$$PMFij}z|ja#bVBqPBpBw z^gjxq89F})a?m55z0}lCX#Io)WHYLfR1_m8(1j9aIo06mZ8l z+8@X7U)nJNxM#wl-B3k6;AqyNU6?!B!#MWgtKOcm-w{MZ_YCIz*04Z3gJsr{V$WuV zAyH~Y%XrF48+^o10Tx{iWMe=3u>FropNX`9{SH3sVz?EBQ#S>4e!GZ(DEH~f3?rSp z(pJxE$-=2yA@7%pNTwPNH87i|WLM51|J3hDiZrywkHh6J!*nZ4Lx(`K^Er~>vu%H> z$wJqKJ+QACjbdsNKu%p(hWKSTUJi9NbMKLIy`D%mJ06W78J5ShM*Nud@o2z~qW}_B zKkY|tF8+Bkm;^DZ^JKIqj`6vC+)Pu=ZVyD^zEW#ajVdF-Kb)_?zI9!tnYNajQvt{}A+wNPi2EislO9stD#rYA?^q?( zEi|_*gl&5owTb~EG>R`6Odn7D1%v5+#NSo!1XdMy51h*ACiP&IwrTJrU9hn_a-8bi z8T_M1#w>pu89U&*`^`cWHiOhAGtAojsR(0I*y((RAY2Ui*<8JlEaKI?E3heqpNl#Bv2(1`#ocY4$N)UN#%NeM~R?pN_SI>7+5K9D{_T z)26)OBkSN{9F&s`?Oc1|G|Ty*2X^xFMI*tNyvp6t7Zma~R_O`T0dUfF3#B}YR?ncg ztg@HS=yd*{+&I)xu28P4U(r!$&&}GzD$`#~Q!bR>Z%3j14$lWL0rQ0OzU>x;^GNyHNP0sxUfpZS1VSoY3`>HLx&yV1F*`7>O6Wja5a=#YbwXCy&Q~m zUnGcZjr0)ce!zyDsk9|!9ahlUiYBSk!`B$+%1=E23EF{9~Q)EBW(5 zg6D5tZs#@grwIVXcjcTxxkxwH9pAqr&9~EG_LJs~+jFJmXKINqs^7!LXv_8u_q?1~}0SJT^ zLezp2$$In&3tl8zKv5=KM0B6xq*)nJf&kaGZd}f27I^Cv@tK=A{5_TH#Q)mSC6R+5b~32fI3nOWeqtB<6x!dxzvCYCv^L*!usUOTx) zDxD4!T}7HDk}iV_mt!%7b9t^yy&%y+`SbM%+7KO~J_pu&@WP7`<8Nt$Ds&Z%5& zV8+vRx$1%aS1iK?Tu5IM6aI3N{+{9`$nxas#C}{5+fs%x({wUgAj^~Zp%N?|XkOa* zPTH5>OmXD2r4JasXX+Sxeo}y7D>L4&<{h^EbyXw_?0GV4t5GLoJL!SrOAnHu&TH>3 z0#$=(RXfw&cAd^+0J;WYOq?M(iZJ;F@;o6s*h+BcEfJ(MZBrdZS}^B%Z4_p7bKWaG z?PaQF7wb7C3xv8tGK=a=&HxJDL8eEpm8y)?*>i4#PH$Ykz6FJc)lGT>@~51@^oS$! zX{Ue+M6*a~8$#8rmM8-aR>If@#|E3%L%Xw}BzZjS*6ugD1>4|oZklHM#yX(zutyS_ zDBaV7&qj?)5XVLg3z@`BuWg-sY-YQdcAOxA9f85e9jRTcWSdG>BZ%k=y5mAA#?u(N zomWaCh&Jw&{bHB*jr4u|K($Z z82DmyYIKM5`)kN?ZYC0*`>>`65>CvPjeCOWSw4LMdvP+<aOJmx>onj<# zr`K4ifRYHV*cyHrxuljd?28g-*hchmX)ly^OunruwjFL%1vVS)6e=>gItioQp<2*v zWwWa_fLr|nioEM4&w8yZ*e*1w9~R39KUYEZlv6X;4uOqx=D z>TlZ)K2@=_`?t_JY*;!)`B0cX+9uR-fOd_<;S;5#Dvo9THio(1HWl+>gg$2j#H*+v zoHQ_(nk-yJ%rue=X21j}e3l+DQOZ^`>>MD-SQ_1$ zt|6b^u+3aO#m1ong=srGXlRL{%$dE745!MS=Q=onh6M)9EAZ49A&h?DsYRPdiO89)I7!mtrR(iQ@U zEA$J$XQ&Y$b?OEapJ4PH+@4FcH)S}e5%nY+P+*By6v%qw232dux}_|;yBT}wP_`2p z%nQ$ku2R>4&Q|@FTYrr98{B*vZLS_DFGX`%mC^IK=LZROrZzk_JYlm`R&GQB6SEuJ z0XZ=m-uOW9iR+%#m~owUH#0Jr5<8Dek5NU@4BT-vH!IW4p$b)IHOh7Cfn!u93utzL z;ar7DSF4!s|As=|>_ZPY3KIEgHtsJ11hI|HWCgTq{=7{8m(>$CJrZ}V5P#B}`Of&lBbv@zW1!Llt)CaZ*J z(0mTwFz7lkI=i*3B${F7-(lh%cQ@J@M2*p4HfXmujVKgt!MnYlX|`_&U$)8y2m0y! z(z#5PHa!{fdV6~>8hYPX_n|h!omp0ARr!+_bbN87fK^bD9LkgKU)&(~C0)=P!%=9b zD)Du5xy+URMk>?i)z(m*B(&woz)Y={hgI{JQF6Db%;@R3IGHib=hvCe+sn`ciHxRj zg%G?i_sKqqtl^z1OxvO`)dMqiJjz(<4WW$fkeEE~Pa@`cf8Vfd*LP)ln{Ndc3OH}ioJAA3q5 zY6ZXJsHAU;pYZPveX?IKB^iHU$D2H}^6w_3b>*>^tEaguC z#~OS5uv!SS{SkK$lw0q%2HnQMiADb8TdwV)rkk(FA9`8R z(cfKY9ty|@x~?ft50yA`w75G%+tuF@Ppcdq;(i$?!}GF?REKp@9IN@ zMQr1L8QJ83T0(fn&04V~vCPRQj=4nD(_@Xk#@_)Sj#`-tGE(6lD998#TH6DlYl0NB z&a?iUOVECaQlT*2H2S~je?eYZavn*&06?(V8IoYG^_bFRbV^>Lm*{eo#C9S*DUJU7`PWffGxlNqvD zlhg7<>}(GHVmi6tIqygMyij#@;9XjES68LMFnnzi2X2=FjqpGjM(Xmubl`?*euKe` zCC}-?T8D3KnyYZbbU<@90{{+rR$ex7c73MnBIh04GSzkN zJYW;|^@Xo2M@8j49QKr68vfkpk25S1aAyjaOs;A!4tQKPjzrTFQ;OZGbVjCRFOQAI zN8jf-K9MHo{IU)f36Dx{Hfq)UQa2Jtixa_=;|)qK*ZYw=?lXBaw8PMW^JA6$_)`(n zp{lnYv7%PZs+LYkVt3&GNVwbL3rVI!-1|Ww(qNcIvtcjU}&pYP3AW_oF0 z^FYQ*GE3GnjpvJrfDA))LxKFuSmyc);z4BCTRjZc$mqV%F`0P3r3`~npyxw+|8utj zq>X!3BX@cdVv-=kg3?slIIhKhZ|idoyA6Ad@Vtd>KBilYO%oXj+uweqi8#1MD}r!w z(J(uh;Rs$FDG)5~tB^y6FB@U0{bdwu0Rl&bjN+@-VcNoQEEr^H_u2f$B|-#f`)3h# z+UvMiW~{XSev>&{z95A?!7Wm>GlTCmyKEP>qxDyTiHy9~cRi6noWj0g3%b0?zl@$V znrdk`uwiMyhK*b&MjVP4A)+=Hki4^tOA1!xB?3v7cpL_HY&~%vD)Rb;nfRi$kWurhw3xA9kLOlEBrRBD zSARm&(YeI5S#y@sNj6+qB%-h;qylNfoDX->-VOcK(bu8QzE0Q3NYK(z#xNX69qV}p zaLRW(80wqC%)GAl;+FxJ7oW*&hp8y025&f?h0eDiXwof%T^ZZ=C!QNUZ`E%3q+B63BHWvkQfPCR9LZY1y*em_zRS>s9Q!vc6=~m;RrJ74SzN6!`iCco zBjJUP21#RLxLAfGS1#@>;2RQc2zL_j4N+XJD$jbkMR97h97pboquJbWT*M0os$a&% z=3)wpB2H`;_?zgfJqsF~MUq}QY&{8LIa@}=`_>_+DlSQ;3Z3REQKgn#G_c)t%8Ny& z;fE>PE_8^F(HnM#NLDz#UuKY6|#ZLJ}IfE5pIgrb09>8(WH zWLx5LpLWI>Weqz+C|0L0j~mjygLloe{h9)P>66x6P1a-L`nY%^!$49^-aNwwdpR>a zM-(tKnom4_N;RcNQAUQP;I0kVb1je3nUUP;JZoT%FVDsgYrF&m7Fqx8SVhbg3Adl# zxWtyqSSE8~vtgchsOrKD!*J9QT=L}$%j4x_7%i>Rla5ikgB;TduBEiJn1^yag0QF+ zpNc$=%c<=QL02SSv1{GD6h&#PxU_pA!ir>W4R}w8($Xv23J)IcVbT{r?Z-k!O&$;y zl3tpfo90Ox>$UYtQcRS_Umqp3`6K8`XN+{NVznEGl$quq+2G- zoc4F*qKrr_a)sex8*$OEy$2b`dV5Kah?VXP*0St$PT3IAU7oN&$jFF+Dj`vgTW{FA zP!kYgM(6tmycW)Lpd(yM5pG-!-S)wm8n3ke`b%!J$f@^`KXqJkc+#?>cBgZ*=hrd6 zo9-nCtN?$;FOZL~7<^7zku(QSx#!vK+a2G>dKI0uJI+QQO*!HIo z-`luzl!(Bs>rG+C$m@-sfNf&_$+3rdXdX&2Q$}C{kxrJDNZQXjSd)-;pyq((B15M{ zj~%!a!;!d+lp8J~9I24uSga8Y85y}wii%8Gn?qC5w;_;k$Z#VkJ5^03Gg(5t=3KU_ zT8|nZwGltkOXFJ{#oBNasmWSOessc~w~j@fXV0(q@Kl z9h3d+C&Rw+jbT4}ZjGgw@Mfr$BRLRQ!mx5nb1K=?8XIi`HKl+O@Rd+g@pe$)%hiNE z=D19U0t~bRGP*&#OJ!)}j;7@_al_CQT6vAs(50_*IL4a>;>&|l zK(RALYNL#m?mfz|9H%zeJ3!kUe2&`XUPXrPew`~JT#l$ibcVUYv;~CEk;E*fxA$=F z(14Y+>nQfiNT;O2u{DU8M_hr=(YQKvWMsI7sW*9G|!y-iER zS5lwNleE+@m&wb%GRHTtqm2EB`2-nh(^2DhP20VmNWy(iwtBTcJUqhBM}WMj1s*i- zE(?blxxa+wy#RF3*84`us0>pX_F0=;L_rSt=nYE{;)rjJlOFCY7t?`sm6B=m(*mbZ zpAQM=6=_J1GSb-B*m55SI#2*p5cYboS?v>vXknerdaKPBS_VYrE(d26JBYJ{?i(a; zO9j{jYd4jV3??eHH$zdBHc7xzs}PS`DkU~6FS(1$0RAiXD^y0Z0kO>Sticd@?KH~3{RiO zx>W)zp>{G|wG|(IzHN0K1@!_pA5L7=$@{QS21uvZqFTL;O+MUTprKX79*SeZ|D#Jd zJ9hFe#4-;fIf4yU8A+b6j-4x(N5^_P*6EA%kC^lv?;dt*xmra_p@JpiR8ti`Fy?uP zrbFc_V+tQ=#;X~cuupk=_cl8gsG@MLJhdyIpYGWfsAe6UVej<>pfl= zpPdi5_l}GUC#eWnnl6u2rk6Ee?E3h$@;DEI30{QH(NEA0)l1`q3}cSC^^PJzjmqW% zMR0kJgCH3aqM8}ii)K%FCWVnyT&Z#kUsP>kwWVwu0$D?r}V8-}}`tv4JLu`2Cp zrY$BEr8?$01;(hpmT>rnb+4PJCA6Em95d;aO~E2~++U3aSfG6`<*^0r<&pmYTX7k! zboGULQW(`w?;HnF+x!B+dP-_!L$;;msfKPVZS_@u`>Q~y`bJ0l#o(>+n)^yk**{S#rFXgXTG}+us7GW^Otsr zK3ZoAf>_OGADO%n3NwbZwH=ekE8^HkpBujgn8)Q_ceq|63f3hEM27v&XgLJQu;-!D zrhPhU6$m{@*-|Jx&p;`QC4dGZ@-U$Q6zbX^n=Lyug*)};?$na;@4MGsiy-%8tia8A9k{Ry=AB{r4+XcV6L7T%W!;l9Xbn!I1Mo~YTj?SVSq;Lx}ziQ>kX~1 zC4$7u4#v(_`+ZR3TY@=EcQv-WI`lbZ1;l_C;$P#}YDVv6`gT5VfDyyXjB5iIu>L~8Hx*O_^X~iU4J&ezhfCFl=`3k#;?^gfx4cX2~ zKWc!D*p6wk+d1?^H@E-N6T=prscKAhKubR8{}=!^)uuoN%3+_KnMY+*p7kq@Z?yS< z_s*Js9!`s#nuTQYNPme~Wv#myQppmw{XRRd7s=!`)hNXa06!{+=lTe+gp(8}9MF9U z|0pO0HP?6~DUf<|ECy#Zh_|Hr;ieNln^=45f$ELmaGa$e8w5AQ9<3u~=f2 zFRw)O^f({f_QT^m(wrw?%vx8t*ghYn9f1G22vPWWOXhQ)Jlml>rs{9rHmR%vf0lG^ zN_+cPf79!bBG>L2PgX79m0JMZUwSli9m#|F!9pwCDi=nW zXy-FD$dIm{Cp;Xe<^IoP+85O9<|_x~A^1YZQtj0BpPue|RMvz)b$^bZu*a@f{6F@H zJ$@zW?zvH&ZmjsQyg#JEM;#Jr`2Kkg{NoY{J#SC$<-Hp}d$5us7(cg3;!t?P;59kZ+9L&mg-g^YBP z`|;b%45>9(>9k`XVaoM0N7&%ESZ_EAq)VER`22EY2m%pnVA&<9u}#aHz}8SCN7!Z? zmODOOgfG3Ft==hTX{a)u8E>@}_;y(ti!w$?{lGUVW17C0?cUZBZFX#%;ENXY8u)hU zl{xySN}Tzav}m$51&*&})Q$ixV40Lj2S^J+rIsWdqMTey#vBYz<_b*ndA=1);Zj_& z0@%XqJ=bA7b)@snwAVpVdfL=FnKnmoW700hL-m_Ik(zi|;=GXgLN#3+ZMQYd-a1qC z#BYNa@KQw#3#xj+@l;&pF|eDX3X}B%<%23+%7M-TTXG$-0Ncn$98u8xIyCgw0}1e9 zf#m&HKv|@_lw8E3KsWlj;22WC5 zh(EyXg-I<;UT-Uy#O4F^t)TcSlB85eS?Plnjp&spv&jCCane_S8SS%?iKjsid96PS z6sU3Ge>u4We*Nr0h(oIw1?Jl@D(mp%t?g;zbL}cavpOr zAQXVXr1S)QJv{+bw+-)6Lizb^OMxSI75AdKjdP{36J|_8Z=k zCw@ONDDkRa5uLzZjd~z~nfg9ZsflTvJ3gFvJ=vK)so;rM#%HW2H{9^@mFQZTVW6^} zA1NW||FnC3dLow}le*gS+E#~|gN7PV9JG@N$_mSc&jglG62M>eN`@nA%2-r{=UEHb z`Vg*!kJKXLb!9WEed?#u4o(oN#u~N^u??`qsyo`LY-Y{y5=v-Ct00PApQn++_(g&HiSk6{*TYM|6`v#lc?Py8mMTIrQ zL@jz^rR73T?ED~1A88GT+C407^L!iQ#)n@l0(huP@%hV`W`g6%0xUR>btT&$aV&t} z+(VRRxRBr1+{#F~f+ID3s4vaRjGaUmni@fF+34=Hc#>GcGFC?4f93Mz1_09vfd}-R zt0Q?emgd-|pn7MeZQBIs*Ti~zVsGDvHLyFG8Z?gEQHXVl!#E>5H6KXZw*;^Ne{-os zw-pJbG92(Py)5VwCtRVWdmvyHaRf}*!l6VY0fk85P{AMA;tJCau}A`|`0PBja!|X}R;T8`w>GV^fuTCHR~D+9?{V)hGFIc!ENi=r}^1 z@0|2iBe?)qm zSI9WY8_MFB!?}0$c`eaa4<1n`V-mQD+c3SYPVeFf1FT{vLjfn?iO{ziNR_dCd*!5s zuFLvO_T!ituXC+K`E|MWkTz^Xf13pv6?wJwjNZr z!6+!dV0v7h1ucf3oQA;H%rVI4Aknk zn#7p|r#8f3pc_or8wUMKcgaB;a%40b>?J2HQAh`ll=7^20H`t=cFm;k;pDe;Kpn)t5!g z3*l$0rrnG?i}=l-E)<~V~VJdN&H=wWk14?Z5x=!hHEgL}l z<|``^Kuk7A_tTVF_AKk4inLQ>V?Qy?b+D=m@6WU-HlVrn21~%SzoeGPsN&e@A4kFr z@?G87-TYP@m~9x?(7fFiIf`CbzR?ej)!sfSrz$mn13ly#@ZnPHvk}J(Wm~l#2g%b& z9P2N&Wq=4z_(Q*u&=5@<$e8`|Y$NA*Hw!VNUH|66#dMPK>Hqr2+pD!NDb09I zZ_N>8*3v6UEHw4XG^|uFnE6yK+Fm}~Hd@j^AJtI4Jc^GpZFJex;}VLK)+q zCu$usQl}NS+lDw1W@9MKNY+u-nw}dvLIJh+Y-Y>tz)qKy7EpV!1hI}PkQRY^EyC4a zem7*yY?X?1P_x2*)bmD5uV4UN(yKC=MoZ4Kc7|Q%6n>g%CL4aHX>|PuoEZ>+)nq6BP zJ^fkOB80A$*^O1eXevFb>bMJ(Wz39ErlFq}C41+DfbOAOV|xRa;RBLtH{k77k(X6O zB_yK@4( z&7pL3a6{W}&<4|vB*Du>gSK4|_@<2Hn5Cw)WvCBtEvXhgTGI~gkq;O*OCUmn0{&qh zXrX_X`IY-bPr6Y8+#6Kz!Y)uo=?Olhg1y0KfTsl;j^G}TCu$4cm**r#XpjBy9W;dY z=npwh>p{f+I6pMR_AqM$TaoHi&K!jD5G-pmy-n550xnPbQAX-sm>fPlR6w1Mt`uWA z(&k5L01P68U=$8MI72iODU(83YfxrkhI!EslZh1NiUAZ|N4Fj@^lm9_;MmzJ5dO_N zRn>@l9`TX(JpsFrHcmmO=tu%C4L-o@H1cyng}U|`sgcopIJ2RymH5Z^e;ceL4l!-k zNj=`=g+w@9dvv)Ji$}tmIgEXpIzoTjiG_ID21XCl9Vo+Aj?O(l=r&m*n>g&Wp${`g zQs?kX40GZarI(dz+d138F*QuX(4PaFb7Zh{&AM<}EYC+x9r9EGc?R-I2_3NXcJ>vxg(FOf?zKb zhOHapINcZ@_VGA4T4M{YQgo^W^C|J`fhF{1=4inZD)rB1hV^JgX_K6AxlZGCBw@`` z(iFxLQzgkxPOBuT?rdNP6{@qUgrp4Op*;cFQKKkKUKUY;n|>KUaZv)|eSQYRy!heu zQgYTDWpwjWa*fSOt2!{%Y^&oB9<@DbN;sE;i!`RPo^KiLaVle3OQ<@N0h%>7TPmoq zZD1ai3Xn;YLlU6y%jkcoE*ktL`a_8H%do>cQ;D5c6Ek|M2G?i=K7Of4xJc%(SHo7? za8rtPb0l5jR+mPe*LvgF-IbpgTZp_1G^J)q130@dlW~{x8qOB73j2v`!DTn5gY>$e z$q6qJc7lmyU%TKhBLiWvh~?`AcO3+8_gY~INdzo00>Rs*8dV92aIDH$8QO-OkIVBb zD8s{}|5;%BGaEF!3ct+r91RHGt|-^sl;HxRLaAA9h~I95rV2?UM%NR*#_-&p5%*|6 zGc&nMiXN!R_MivSw8(ZJ%i>JQqE2L3gTqJ__)IGyp@Pz0tuN#FQaVAz_al*YGDEs# z-8$exV)DJhjA7Eusxs5tAk@)qnf_T?8ranAaTC)O)+{YyPK#|mKV2ctmz*Q<0>HNt ztoi?60%K$x6aEku(N6j>QH|eDUQ0ONPY`cDWE(#j*ZQZ}`Fo-q`8|7}7{@)GI$(^R zXv`QH0%5a=#1L^S=})MjP)>A21C};pGGnLB16}JtWAfCcb|YXZJldJcfZyx|Xg9Sb z>+ysOgap!qyMZf;4`gJZm?J&nhJ1Io>owu_G0!^mm+did_G$wD5DPkp7i{lj4G8EV zpv+{ee_QM>chUCB+w$*No-DGjRC4o;LHs}!$3%z5auW#^@?%ex~imFEX zbeRj9KCoj!@&p4e$_hCqy=}$P>rjq4D${005?{u-5I8Dnf)CT3AVl6jdlQ*{;W^Wx z*Ao1TUy7U&92RDnQHa}EZ(<~YO^ik6C5sCSdM*2!vxJ#(z2kw1MftwbGg>UquHNlr zu=yo=;T(^hwZ~;uUbJxu`{h_W8V5$l<@L-fnRHxUAFX}I<@GsUd(RN|l+ZhN6Af$} zQXP>g+p`(`wwI(ZQ%2fo{Dco+?nhk)EnsT&z%Y#-xVya&( zJP+u8qq0_ZtRxPK}n>5teaz z>$n*EC79t@4)ceqpO>FQ^ELxtyIIqrr&Pjp=qY{TIg+=G&7LU%Prczw?b29S9nQVE zFI$3-Ch96L0<;6OXj~izciEe1sfv|~91Z_6-}F|MGwCn&hP9zvGj|({Kh&}9pdV_* zb|5gCCwezO@=~h+K+=)Hq4U}+J;v;^0!MjVIS>FnmvHIP1k9hWB48L`T7sq)xt^U_c` z(Q#=yTCc2g=$b}1mp-j#Y21EiGO|v}YSXH4x}$bni2CDL)8UVf>X9+X@T%x^-NSka#)Xh|cZx@je7`5>jnage- z51eM{X$GCMhVTxN>X(f$5raf;T#t+=WtAssMy8%f!VW)iQu!XOSYJs_^~MbQl5(HJ zb;&}f-pJsBg=wEM`r8D#6cEFkp6i0;my!r(R$yimUTgZwaPo`gC&@msgdLvqx^wb@ z`lYw?W=8S@>5ZBQJbs&n3&4YT>dQLt$w|7ZJp$F~E>DS1y)yJWQkZVC-^Pc6hp6VV=>h7;;ocQS!$SXcxK z&JhY&&;yo@kn8rHchvdWSfFDXH zM4<%mL#ghk%7h6)%3Kwi@K!b}*)*5lc;g@;eRXWCV}7}>vBX(l6I4Hz=jip&p&F6O zThH&btVBArcI%ypDXuj=;R8XvTGD85J)UtyHE=79!dig4JjR|5?qCs>sL65SoI4}n zxk2~B%4E?QMoN+KMR6aY#-EGM_|itjMh|;Q(vN09 z1tq26REG3F#O)1mv}+4lsx#dZ8_S#tdOU2y%-D8JTFK8tZ@|gbD)qw*n`wB}9bZJ% zdOS?VciHOMtmJP!e!wnXq-7Xze9f4;Y^a4Lzae!@?;NTNtD5ZTwfSo>cd>6GJ90yT z>V-eyV+Ool4g29xAgG*#XT6cpH8!Wf-ick%6KSH-aG!+4ANJ!^>lyjRp1^fJ1MAN@0~mrZR@^^9(fb_91CgHVJ#WWV6CW0sQA4I*@ciKO_J!SSakps9+B5Xc zQ2QLXohaxLDrG*v4)xS~G!^Ku47>>s_#Eog;a*!!dPFvj0iCnRmerhxXA$fz1zXaLR%h|R9sp=@fXVA}is zzTwLf*Df^KC$!Usb1y@L*BFG9un{e|u&~0kz))(An`lhZUf+4@JiSa#r6%FLX0asF^!gM%5cL z=MB^5Bhp0Qj!&U!m1J<_DI9>sJ`8`6o^LPDv^NHm_e@cN+mT_03OKJkHUa`G&xpzl zJH*qJF#uo{7bV4lX5Wc6l+Ms#Q390P+SFo>L3wSG>dp**ZaR*So=ne!bwYhT?qLeu z^msH?1G;G46!`%5VG9~;1b|GRgaSU(5{}Athu*$FyA1Ta@+S*{dVnIf?)_}9(Bztr zZZjhpG%9-w$zP%epBP5x(vCNvsMTeT?HJY!M7UC9q-MZx*b#&q7$RbslZ|hro2bSk z9gWnpnW{hz_#BA`WqRtCJGN>t_Xv0BzG|wg*yz=KPvf51&45Fj^9aV-@~lvJiqHA> zVpm6(Qo7rDK|*g&lq8iyqdPomWjw z_Xojvm@I~}kkS-5t?|lj={Uf#{cU!u-q@QX*`y_5E%LrVM2n>TGnCv?`qCF-WE(#Q5_s)}*@*POI0vHKbDL#_qDRdDZ(4st^PT@)` zqhDj%X5yv)t2Z%z#!!*yPB)pM<-L?l#vaa{V_jG0XO759?Uh?kN%k=wuczc0t~wIX z-nsryTC>@xs+mF*_6W|cL#}I9(eh5fPXWz>JYm?%;7)vi!Q-SyxQ;1c4dmw(p9^XM z5h!ut9fv!kB6%Dme3p`)TWZt%60TL5QIjZ`X&+H+@=Q|*kFaxt$#X)b4S{?2acpKv zG4P+z-5GxapT^Qhq?(aK@$}3)D|cyt)5Zfnn_q^qjCldDnqU^uT13Fstccf3Pa!O- z0~51wNla5<@-;q!UCZf#?{5LICEvj)POBUo+r`uHWGfrv^5aaa?KPW{7<0l#+Db2;ZPN}1 zB+P};Mc0P7=?83$$bBYgd-Ah($5U=>Y{oW?gAC>c8uM#x z9CI&|^+j87TxdDOP@I+&YcVCIUq)l1ZD8JA izHWFNASzu<;xj|%uLvHoet?jA zD7;_+m@;L|NSmA^b`NOyb?J%1f9qj!qi+1$y62yk#DOH^qIQ=xL_TGAeuV$k+_|LV`4ngI^b|GOF0N7w8wBltaP>J z-*+9exU}xY0R`GvU-jd42w+-C(Ri#J_B{q}k7SvR#&6@zc!OR0h-#^@uK)wlwT8Wc zz52Un88{(y89hv|91J`U_6BOyVv7TJLq9j(JE$6Dtqw6`CkBsGbeC)PkK&4{d8y{# z#ZIK$1UIe>^3sZAbKnsE>phC#IuOU|a4CFzo0B}gESO`<jI@bHoo=b zW{TnrIiax-G_q4ys^~in@xPIcgs*V1T?RSBWu6Xd26i(J+1;BESUh;Z%pf>_Txxf> zV|$Cu9E`LNRswvq);mW_hUZM2$)Km5`v&vaBh}QCk1vNY34KD4(`tv~^Cxz^Dv!TC zt>>dbVmtN)JwG-?Yi-v|AMgFKZS8df)Wqw{7A&eac9Ntq*eqCVxgXQ9Xs_j1aeVxG z_%Lltb4=*H?VnFi7>Ledp@|8;u^{+Ahx#}sR7^ma8XcrHl1X6^$veGEBpsHbMarH9 zgU_nju`Ul8nmActEz=$l*D?sPBJqpe@ucN~dTSWR95FMJ+NWC#04!x1kk~APcB5WN z0P?Pmi5UNr@b*}eu!;#n7AF>rU`r06QQJs8VeGCDhGme54Gz-o)Q%I4oeqwwq}$Gm z2iP!rN|wkwIN?E17OgfbRvS@O1GYkyZ>wLVr>ShB`5bj!q}+!A2flFLfW zZE(hpM|S{Imp(9y_kB5b!(&Qs9xO0(?Rt6bK&oLUj2QWC%ponWCmE4?TnvLvmJ~}N z2PK~dL%)GeV>~GK<6v@=sqS#d@l}0CphN$;Dy7N4_0hv+Ft|A8m4O;4XSGHb|2M4Z z;48JyGEqQEf|x_HXQa+Q&5VN$Y_r-4u^@wDBUzz>PeaEU4%=UPcxq4nKTSEqq>*WH zdIs6Xxahbb+t7g!&2DLQYEgQ#j2(J2a&Pc$K0c)4ipda69Fj^{drOx1=x6uV5lEc| zgQAx0=KuAdD|R-R6Z=IF{L=l|#~SEtb*n zzC6_%OoaT#E1JF?Cn&Hn4aU4B_&th)#cFCKQ5yo8&Xh{{um;fsI!&KZGE zTx_2RKx1&UXtrW|X^4@jz-_Ts%G?*J`%4|4;<1FwGM5qyTLhzsoTZgSWX5GSxLO>( zA=+YPe(a;ar1>QRu=Ptj+CxADgUMy&nbP0}AsqxH^x$>T3~DiKFvRY=juB~7Sk7o% zl2_~~ZCj!U>~=%g&ByzxAG5OY(*9w|ygfXnb- zE7D@wm2)f<#zz4Ijbhs1($(PKA$bGROfb@zos<82Tw{JAcxTVExmD9m#(o3Cp{|-I z($=uWy*IdPHlzwm3!FR&oL7^uKzLO=N=V;%~ zn07IY`-m^)W7p4@vFPIQlQGL$Jbx_I1mjK+m(-LZg0|${$ziZL&uRz*jTA*J-Vw}# z7$qo3Bt^t70R|F-SxcntXi}K8zh7)Y;11Ci74x@UDRV~Yu%lln%rAZ6x=~z71xDlh z!@Rb*12%YD4BiK#cc2w%Jh0>2!nZNcvh(Mm1ze(3`24dhDf_vnND># zlPO`vf&yEJdRL?MHJwLd-XbukE-&$S%S|y#YZ=>RFm0PJKQwqhbd!pW2ecnzE!a#~ zyDG#+)iU-@j70bCn44%s2Xej-=LdI}d|cP=Z(+$#k*HLUep2DkZ*+b*K#JEqrepOuXx9e0QMLKY5w=8}N;1ep22LGCMi3?k| zTLBLQc+;q~xKafJxOR%D4TL&EI7KoY-b2(wq*1AZHvd1qDTe$5qwgbT_6({R_OAvD zuVO>QT85jAj(X10FQNjkTN(10X; zI=`)CRNZ0jv4&rdl}mya5aaMdn!R!IZ*1G3G=NdyKpKK_gDrOwA2wHpMkbRKp-YfU&yYVBn*ogH@~D6>5YU5tg)I-?)4qLB6rM3CG*jhOmh97$h1JFydqbg@!>IBhq%Bosn7@ zhL&&3XmVJ#Nv(qCqrse6uQsZ|Ua7lloVu`A3h^9O{XXhS8%u+^vR%a985ySjw88MnR1UKZ_0QW8#Y*?7Q8gYO}dM3+C%%5mHZ%7i zUg5$cNpK~m@7aO(VT7~Dd?GDCY(Uc*+;DtbossS-e#GNtSw4>`0J|LLTkOAZsTp^m zV5XxSwV3R=zcFpF%8YdlGv2t``UW$eNj0J|8A39^Ex)u4ilL!y5kOMcgLvPFh5&pw zSnae&v2|nnSdLvM(%i23zun?u04)p!md6M^|DA&bKsh{5iS;3mt+--zx!3~MA8<& z&8GLA(9x)@A9L}=HnNBPjUoh5gSE*qZFg8hT z6{R_LLTr$GYEz;@43;PB*O}f9lorFX%)1-wcBdYZn!%q4u8Sr|ZP}-Z$`{y`G@(MH zv3Ck(v62us@o2)u`&%xsB`$-oJ9(Fg^f5l069Na|qodmA`sDKQraONLxn^hdtQfR( zpo^OyA}|``6G@M7i2Z@|;_(-%7x>0KR*42rxOtJ-z0?eCJec>RZIm$ar!WejtE)HbSBI~?ngNXpK~jo}D;d`D0$ z+N{}`VN+{}!@u-0wJwtxtf;cK!^lt=n`qtiIlDM@rgz2ArvK7S2PuoklF}s&Ng%V^ zGf}peb3mScY13qVQP`>J7agyI*-ds&v<}qYT(CV_AKKI}<>y|FT-!=!ZSmot0X4?D zM_NwNsH--+FK;GI*Bm;oULA3kGY*6~R4KO^Eom8_FaGYI6)};r5o+sSPuHn*26KwX z;ly}RWxbkxjMJ@V-1gW5g9JzTkR82-7DpDccpk?1k>_3q>R%Lqu~>t^<|^`ou14Cr zSd5{^)s`GdY2r`3ynA}cMpqnZEMf?ehi0Zc(1DAe*Q=oeOnKtg0fS7M*k*_C`!j=@Ai9N!%NmCzx z9}7N_@MSw>$!=YjT+ez$Zku=S1SyWV^>D%lg$G!fkoqzyDQw4dN=*@V&kB| z;n&sUzg72ayHMar-ix``9V8@f1U;bn-yO$(C6AbFJ&BK|A}t&PxN-!v#OKpTXKUL;9ig=nT-8GcPc~gChM;e2I*zRO9VqX4cSs z1%rvs`!8xc2}_Jrx;w`42_U|M;h-*r0b4T1?ntMfVQihFr7;czIg+I({0(}9{1R@R z|JMw|JR@zJ7mv^3m^J~C=tEjTj|50$#d3R?UXE_L_`HpMO!=#Yny!OTRyVQ5v?~v- zUk6>RmNh#wmNf36A?@IXowB*bSimDh&P_eiX)Wg8hH3}fNFRx_s?pVHP?-9Ptz2?j zv}R_EuNgy`R`$jBcZMO0+I+f(k3kQfRL;3*Yuwn$yBTy=%D6fqW$0U!%s6)u&4`@y z-Brendbf0DkQ<`j40(^_D{{?g|j__u>tHmrpn6Z-P-yW)gi#_guowi5l-WPQp zLjxeF04yx7nLi}vIbb*5#MZ`}oJS)tRx$;9k1x z-H&lE^&ZA_Nvq;72|T2*oRPYU*%N6K2gNxPH%Ve1V@&`(sepemq2WR#bZ?B?`I26m zulo!RQ$P@`=uq8E`)r8aIQ)$g5!C_4aN zj>M=8VEL_ zw)VSd+D@`}eu6z;N2d;OrfF{Ze+K&EC)&q>Goo$BgzLNr0lR5{OZ4qH;1+M<0p6VV zv_2<^kl7qaU2;<3|10Ci{JJxM*dz+0V7~s+#q4J_l8I};=`#Yrd2&w~0B~NN$UvyI zb>Us(OFI}kGZ1J^D#F6bF0WxcUP|IDqjn%vC(EwXOq`%qn#p@YW zD_D$v>1yk2iTAOb-?26mKnNYd+)}iLHp@STFh_B4gq^7c4bByNB1Ca3T`GDs2fnI; zgY$u1bE-szxbu(xbTFf;Y|fQ!Z%Oti0!LpK^59d^+=}u~0>z@VV?BK6MT1+#z{BX? zY4%brF&E(PB4bQ6@7VKf@#CGehp_)=y~GK>^iC#mzVEA8=xKv_#eN?v(lz;?`F~3w zT8p$5a^b5KBrBR*{ClP@m9H;p!#^gsRiU`+|I(&F4oBo*WU=b=M7kIW)}l5Tuw_i= z^QJagdf#!E7V9h1S3jtB$;Q%CmC-$ITw}A$8GA5 zD0c&jVQXxnH!XX^=OMOfro{6t**s#Q7MMpRt?+rDT^ih$ab{cerhl?@aBf|UE31QG z)t<*sOUJNy{Mcd|Umn2FaRr6}V5q1?W+YQj9BuBv-l-BUv(X=Z>Vi8c6C9;Ld(GID}4a9W50q{O|~qX5Ik|H87D1b`(2SL`jS02lvAOC{nvU zA8%621psG6(6oCPKyzweTt05X_Bd(-L8)6LE87M{^X=o$$Z?;F${5rE1NcZCB_-aT zy4;KrZ|@A4%9ihxDp=a#-UE282q3lRejOBHLdYn zOmFL3W3TRln=4*Y(3}{05aruHJ?^zZax&!%AKlyLdf^i7+sAU@+gppKvGv;we4M7B zk=Cc?XysjjGEnfJtf#l9CxRqedlI!4A7do?CG-sgFg1Y_BYE9q(f84+CSJJLjFE2Q zp+FcTsW-#lW&qn&_fz_A$yXKc?;EX=X^Yb*c28ivbnlAdPKKn6yTwSdm!RGmP(1F- z#x@X;N#`H7XEOCIDGYHY|?6NJ8x{B^NmD^j_e#W@1<3*r88 z2^;gbM%%qv4?xFkwdemeA$w7KF}pjr6tH8+#t|Pf*fHuob%8DGx?Hn7ODL6TC>^5n zB@TVWaI!5h%BxA_yqLBtXjt!lX$KgHa}VgV2emhVJ~MS;biZ217begF{8`^u<^Y|B zuGDG!?2=|fn(KX^~6RhQ& z7}2=I?r)aX-FGg+nRIcyXn{aO7NJ=4K(y)PVKRM;V*8&XT{_~53xwOce*6P;NZ_ViYT#p8E%y}IZ zShxv)aBSJj zF@LyCK^Olnq@V!58#D;O$w3lM2m|;tjxiSgTngd~`J zJaw9!b{V`f06!y`Q^q|#gE@r`>-@IU!BhF^r>(6uG-b=g@4?12R-W9kL&ApRfL$Zf z?X_nP7|co z1`kKz9A&IyGLIL&KDL3fk^Jq~vOdJfZvh5`{U5OL2-+Q6aFAkL8EvQkER_WtI2x^j z=qvEg;#rC3w<$Y9d<6jTVfY^>`GCWGFkrV)2%iujVQEoyF>7HP8ENJTRyF~eqqMqA zEr+hcR-qLdJKf0$Ch-|h^Fc^y6l4}+F^m-nLbjv*1Ib|>5f=!^)Y>H{2{JWbSee#F zIzm_tJ_s(55T(zy0U{i1$2A$S?K{~h^!WC@Am(ULF5Is?gBL-LXAS9c1A-K!>t{*5 z#Pc;Z2WagK)idFII9z9hoV(b@`I%EUq|*sy@Djmz6lY*>C^sh<&9!1`{M~KZi6B_> zBbq@*)cGZHjBO!OOq??_I04#IxJi{%wwHRyBNJ+4VYz!0mXRRGik7e8eff)~qz_Vn z5hmR5W%FDya5rWkzT*V(w!{ilSIA)p5Xp?B9UtNhnn7NDze4%U#1nrOo1#0u>4Z|V z-%V~pi7Ac5h@>^TN2+_&X=D6zqAi@+$d&E z*Iz7#86MuBOd0WfF-HC{*`?48zlmAXaiQ?_Y4CZ$UHIMj-WJU`P zZ^n6{m_0rv6qNnm+h!;zpRsQyS_xC-go0AeJB8`~@{i7z(b{5cppn##IVN$t%qp=c z+WgFK8kNoKV-Sxg5%`Faf`*dcJ*HJ^DE;(E(_wUFCNb}3WhP``L@f_66>+;&&+NteH-f$ zCfym3SY7U8oOimwc0NDs6jhlP?S@8T+hJm|tNSWKqB%Q(>OKBH89{?XbxN9qqclm%uzmZj3~SMpwpsxteDv{3SIp z?fXuMT;br(6~*GForZV>LE&$%tZ3@&cEX8)u_Kqp89P(b?9GTrDa-@^_U;gb%ro5O zImIT^B`vejnDmzq&yWd!c}=R1>4f&j>kcPQK?DBo<1!=7pfBg%!mb|OKvdXe)Qq>! zNYNk$BGJ?o@x#BJkH=yipKlyIZ{Wc0Afq$VY2RCXe%W#nQ!Z=)k{ysNU&7?$?~=j0 zW8mS!E<K}Pi|6Z?z6tSvP4?5+h{wI~uzVnw9C*A&tp<`rqF*yJrzkGpnKxrXP9pJ?!ryc%3eA$d+C;;Jd(niuG6N^K4J%2`Yb)}CA$8x3Vwej_l+SZr} z%l;XIf7{R;UdwWY8(9N{KO~=WCPkYp+T5n7jPU}{@=YFRQ^9~ylYHPYa|xa z$L^3ZP_QBKBef{*w;<2ObIo}v@?(X-1Z2E!BollVh1GmJBn23Nj<9G^c}+l13^NQu z@X^ZUlFaX zF`;2&k%lk!zCg6^yVYi}%z#u*D9z`yn76}bh1zOvM_mbC<_R5HyOb<*-;ff~7wF6s zcs+Kih=*`J-6p`xMbFnrpO=(n0-dZ_CZXe>$KkI6XFG!|RxU@d0?z;_i*aE@dORSN zdD1^|vUn_J34tt6D8)FG0-nsqN8_sbl%na?*6o;q03+9VhZ*`kPT&*ms5fpNW+3!^ z=h-OE#XnZ2s}y_z82+VA&mIuNdD1yDDsLI`ax6Y>QQ$;dL0axf60K|LS`||ip(M+t z7oO*a_4}A!Qi8<_0Q;>J`uxnpELmL62;gWLEM6b?K#bl`E9m*vr#-jgc!W06ccv(9 znqD?Q#`8oRCTW|ZH;zLRU71$j@JhunjOt4?-c*<22R1=oYi%Qv+peD>u>sI*j*aN) z`7&}&ynQ?;c$Pue>Cn}DUh&X*>j%HAgseC(07!N)C#JUp7ss7z0fNja7>Q<`@r8~qMqR^`DHP=^^|_1vurpc63JWk{UR0v&>$w#+ z!F5r>ky^?A6JKXJ*h47W76@ABRc|d|h$VAQ{=e*s84b(u)ba4H4^(^w|LTRatzW(Vab`yrW}Ksf*N)K+pEL#M6#y} zoM{8OV-x`0ZP)U*3PVGSWN`tSd-dI`6mQ8fE1{#lzE=ylTXD`|r7x(gg<7smZ!hJT zE5(eBhox0VwGKMU1s%58n`)$ejSVB@DjENoEw70lh?Jwvd{K7$OphA>LO}l(jSf>8 zJ9mu*jIJbr_`c;5QB^(;49NPMAyo>W&(Jr~(v~|Wo9du~;nuJ~&LDH?iQ2mz&RaCL zo1~@imFsLdUJ}JIPTeVfly`u9+KY2bGGQCuoED^onFLw0uUgdKE-`vjr}Tq9u!q=&H7O1?qQ!Mp)pc z!SZa=TC8m+77CrMX-bcK@j^gS*<2$vl2;)rhYsM9hODqM$yhhyfod4s<_pOX)8pIK zRMAfsP!mMVrRwsd1H zgY$jW1bj@^)+P0X__q*+^j-52g_PfgrA>=9ky`fO=DWX7{)ro|Iz#IHNT-5s#0~;f zyR1yn@;uSmZ{PkW|AmI_=m@S>yGYL6oB9bHDy+3#tkc=R(w6xH;;E z9ordhj)L{nNN(SDVz&S`Pq(FL4A6DLUZA!)M)J_0@qo8!@xo%Ld5_Bc_e8<>5{^Ih&BN|(uTqZno$>#vioYRSm2J@ zTX=e#bI|~I)TL*O?sS`_`;PZvww8$_)-ZrZcJ+x86KS;A|3u#N`~cEOt1>WC1*DNYwmbhHi3f<{;XF^^p#Ha4D)f45-H`Xu zxS9Oiaaye_z((JfZ>SVdS4N;2oI5Lb*Qh%}HgV60WHWWVH04I|%PDQmNIv#50beXP+81?@tBr}{{x;W;mfDU!)^7Yh-De!kpC z(nj~eY2s5W6zK~Lep~cwOed{+Y&rYOps}%Pw{Ly1XMo?&VICssFuRm_LFgw-&xquC zqm!+Ge|-tr|E0ZLM)U-5Fn)#D0O0a3jO*avj?~Qa9Rz=l#>(gMQJ;YW!=K1ATiq3k(EB7aRUR9E~9=Yo<(_99bNB zGJr(-x7P^i6O#t)*G^gY@XHTV&U991zn#sYo{pLmg6E#O@$*AX z2k+!(4(BbYE%<+ioNp{{*@1QNTdmKi#wcLXbwu96Yn#g_&MA-#w&$J=RzYnRv9)ZQ zp2ER$0rw|zlPGI{j)Bf3G&WMI$K%_Z_T(Damf^Vx119)Hglo^Za)5KtrS zkm8}VT~NA;(>BBqP(&!$dfciaK$naZEz;wmC0XEnu*X4V`%n zf2W2}02taGoE1{1A7lP z8#Yc2_ALC1*_Xx#+Uu{h0fW{xEgFZ|m@+x?Z*7U;%(6e@^)|mLt~K9P%Wbf87{SAI z&wI}ojmH+Ed*+M^5~Q~{_S34~$5bf^H+1v+YDhPf^Th@$W|*%zTy@PId&vSvJ=YJ+P;(K?nEK-%XzYi;P-t|@mTidPprCW>zg zV-lkEuF1*CJqen)>OBmj7rMCb!h<%nZ&ETv0lmp-E^P4I+Bfly?9jdmugCPX7hR+_ zN&BRO+0eHY*+tl$VO?O4;w@f`9*>W7AZ2p+9?!uVj@2;utp;~s9mYFIB_#UAx0qiB z`HkA9QP@mX-vHy~*-VfT8wC*JU6chXl!&k&^Au_0op7p=R6!rBH2 zh0cpun828C!SDIJ&li1)Wl8z4zChrL@GrWzb89;>JUcz%Y81Hh3i(9?E}s@hduIUp z=)jguHxz;!7;}wvbU&pF{|!NJ-HoE23>zDTABRTdGC6jT3_)@Oa&E7_6X|P>sC=ON z(iojVz_uc>zen0QGYT)@=;+C0z1x>eHIXb1#RzrN27^b@ZNEfqrJG_r)=i`JPbRbt zN)N$2islddhQ1KLAUXG~NCWRs6#;{!9<4VX?6;5Y-DEq)q2 z>>(P>I5L{aupWv=;P;8fbn3kd#j!ub4r+y{& zfxy~JT^i$`8v!Txv8tB)P`kW(oUAzEO+OL!pPmuxqdt&jXmpsyc&>zrZJ_U~&iokz zkg<_tJ^_7i2m;gIN#hc~`*&UOSEPFifg#lZe=n^^AiZ`^W>zjRAn@(gH6m@TYkXkD zacg<0+ks&xZ5D4v2*g$#T_n;wC&Y*b)a#QUCD`sA0oQlWK*ZI_K9hT8BeGgi^J2zE zs5LIoSn%COu<*s$K&h9Km)eccY6im1%rJ>_)HuG3>KqT?o~|P5bcXa+QDgckQw|8U zxemh^foZwVz1=^bvnMw27grCYUZD}&*A*j4H??!wEps7vv6lueo!|iMX zpIjd5fIR~LCYd0fSVmKYd+r9zS8F|%=GX>j1>?hSwvUXC5y@r!6-E}+FhvJZbRW=M zox|~EK-VJmODv?B-o0UT-@x8Jp=);7NJUs16||D%7B$kjGsMO+!(D_r4*m}!FfBa{ zz|_+7& zfH=g?+VTH_EnZIaD>6ogKSA<0IghSq(E*SR`@R$n-j*%G)VAl{-uc4u^(Y7q_Dq!S zVgt`f#4(;~Q$mVda!gXhwQjrY`(H1BtNo z-VXBTvYc?k|=6icKaUciM=ntFElVa(cipmfQ93Ua=EtweZl6xcLsgshlXWS7UXDJ zH@yRurZ8;kuEEl~3Ani2Vb~O+FSe`QUrhbphS*YD2fJk#Mke|)Qk#DGcr)Knv~Ae) zgM#!P={2g-lU0L5GaZQ~#Ha{mCP6=nn@N-rQeYS!HBvD&cd@fHyQ#2n*b)TVik>gy z)S0UPTtCDOMtLc4+3}UJohu8o#Wgl<7%8<_V%=|J`Fh-TVP)i*5zWq(OAY5v86$u) zdvCX!qi}5EefN6P2H3yh8Nz>{ORU!_P?r*e?ke z53zZ~VRU{1f|()szd^aNtYCcfROa7y<)iv5JVFHJsF8MTr0{CoFjg)d=4cH(Ks3rB zUcee@TX7_lAq=S?wH6^+q^tF^Q5WJ3N~DgqC0pcTTkA;3Z?vU4L?G*`$ru=wgDl-)gd8~zMBP2(jPu=8fX9-D8L>)) ziDTw;?{0_1X>*H6v-{Wsj|$H)Db7dd2b1D_^k}dt>h{XwMo)t-)58w_hXqdAiK1uF z32HBmqWm?XZz@3imt&^+U$Ehs>Ms!Sw@Ws>LBwC^UKiEvFU^!u+^(W% zphgB}$P4M-@KdQf(IY#U_*?p~Z;D;%Ub;9Z_{PeIBc-8C8)DuNgV4#h_H9S7#)XEhet52lh!VyUMfy zPnh2a7DqPhMBOc8w>74Z7IFV#m?E^Xko=MM1Z2MmT%e8Uq&aa#QBY=(^!tmN(Wz;xKIhwur{pponTz%_{N89N3C=mwcq`Mym8oKbrx z$TLQI-@x(lzXg%a(vBI&7h7{2E$hUzFnMIC_zoP2wgmi0F5aqRgE?RBAe`wTUwd6p1I&Bcqx{GJ(v| z*rdY>_4I*j5&5fjJe_fmL#1=zTC^pj9QYMUV&${L$Ij-nP|(a5QFp+dF_Q3r7Z)R!xnkMzh&R=UzXz{^=SNBcGY8P zc>?m2?9VzrCKcy$DcKwcDT?0K03LQ^XIRx9$!*t?!=48li)aDwdY1f2*RWj9A=!nOlBml z&DYa4B$6#17h@gPlyX-L1>kbJ>GE+CQ^j@)W4P`$Ba$maIz_tYWg-s9n(%(kDA>9U z=#Sz${Zw)A@c%r@qw=2NFPSv;OQ29sn7Y?pJFs+f3+b`w;cBA2KW0B{-QxmJ4Bi;`oIoSM2(4f@Hz5E%5} zQEPY5+Gi{WS2m2?qW9w8j(8f-kpq+VHK?Cv|5OT^uvt@N|CnqUbNfVEBx})2*smqw z#%zHB+n(k8Ut88-SvO8^q$?JVxPhYK)kuRt9vs-KwPk($-~Or5uWB2{)Y~U7`H?nB zc_?sy$(F(Qn6{7TK99vN95~&YALSkq`XK-NL z?(G`W56s!Vdhvz*0QC;&>2yj(sv1omSBVIh!L~dY|%M;z0soPND*uG=}jrYOhdY&l* z1s1oA&KdVR&bvIuSj6%*s~x^!#~EIoVAkdZ`s3e+W@&|sKF!+e-J|?%HsVk~pJ0@e zM`m<*kL&q&f=^DUxtQ_WUoq?`2S#ptSVv=b;`}+-$HXZb4@8S=cZrC5f#HG=EY@=N z3c(o`Y92K`J}mg*44vJPu37tvbcWOlAt6GI)O)yqgH57w9Gks5+(r1tou0vfVyM7+ z)@2Yz=V4wh?SkkIEXtzLVf!%YbsX@2IFw538zqh}8ypYd^wMQA8ZaE>jJGO~m9_p< zIF^rQCavA#zti5Xu`2pZBKH`3Sc3&fh=U#G;QhS4ZlLK%_LPTaq#cikUl!bA@{{J+ z;=r)&I?_D@u1C_E7v543S;XPpqA|(68Ao444v{xY)aHol`q!a9xp@Q^nP^L+aBE8g z&~_qp^WAyImk?q8o0N*Nv4M!pQ1caObNjSNrH|ZU`j{pIsh?0OPNdkA!9r$hOO3RT zsu$J$-0qc(@Xj+H&CU+;(MVeM6vRweicXWt3RG0xSfyCq9X ze9wrU!VeH-wWN2eeA^rW0iXS)6BNj%_mZxKOgG2R+Z@K;lXiSW8g~aOBsw#e5w5Wo zKsi>PkaK6;&^$;@Qy}n;AEaO$%6J%()z_X5A#%AwF2&j!4=GI)2&3V5-L=jo1`Dj- z0TGxiJnYf3$(J%vFoBs1I>s!ypu?tnKn<22R0qUh{q8;Ew|0{ zwy*G35I)SZ{quk81H#Aq(3a1S7kepe`Ri`vE5o&ijpV?k*`nEwbWaseB*)7scOrNK zI~TPN8(CZ2OkwHQjf;abk|-#?{Yv=n=KsHixWyk4)g?!Cxb7UpQcz^cSefv6zWV{z%tB{;?P=YedM=GsLkf!f!{-lgZO{9jENof z1KD9qEi>%z5*DTd&twS|(Vb&kTjy{>E8oXmd10YncN>F+{#hGvR2C;qly1jlt`wN> zHFe_K?Q|yMvW30gpu-YrGf+^80t3Ar^P;@u--&Mr=V2jcW8%Z0u0wppCK=wqOh)zL zxF_M1|8EQGaR)^Jas^-r2@OW{@;%p(-4f;)x(ArmHCGp3aF_&sPB;kL{VH0}?6OXA z8D@4dfK;ZvvSX?4;L*9rle3dGg9CtL>j*O(FW96a_#2l??{Hwamyt039>qayqx4~y7CzgPZ=4UO3rh49#5&I| z0dHgB+(RCK6~E{Ri31R3{BjTI@Fy0MB$AFUz-<6le9_x={-4)TKEHfloSaE39kpUt z+A9yZxctI&ulp%KR7Ad$upJeOtUxhhPuTLM-(`iq_3`iRYhKVbAB2mSg+0y~xD@ZF z^SJg%T#2NW$CNN({8#V!H@#(`dXCOm!4VV~C#?BW14Ug4(g_m(19xEobGayza>wtR zNbK-$phPd=@4(#et3Rp_O2=oBz}{b_t*Mb#tmHV3VBVMH6k96H`vNpg{%?^s#2mOD zi*F$QH8&-dPT^_X#oaz5BYk-fpHD%9ZLOj+;MpDlI&hzi zyPE+YzzgAtd6EEuh#+`?2zVRUSBf3cS$Oeij%$zxadN<-|ET|9(C;$n zvoxy%V`GIy|J;M(+(-|xI~=p<^~Iz$#*N9Accf_8G-*o^{2W;A_uUI%wb!6U%T{@i zF$Y$9Z4}Xxm0KYHP8dFSWEk0x5O6UCwyl2@9)k|D=Xs3q_99$q{5xG%qO>roi|Hr^ zHN!Mg!vQ0DB_U4X3_ZgDzG!YLCpBZvv2MNofB)lu`CtCm|Lgz#-~aVL|8M`t|L}kR z>p%bVKmYaL`hS#vt^fM3|L6bw*MA%T@%^im|N3A4r~m$6%J(Hk=b+ulFl2HlZNVlW zmdHrEW789MnT*hVzl`EbK)@c6VHjC}M37+;hr%L?ab&nuA>A#Cy2zvlixc&iV_SMy zKas9BcLw7aa?A}8LI^S(9x_~{ks%vEz&d{EW(9F$t<3=BxQ-yhAE79X!+@VngYjFL z*KZ8z40`?Xfo{s};K@Zs`RB@YNLQ~;r8B^#5{(MGl;UNXv^Mdmo{s#Vcor$Hot6r(zKRWebOn*f80`k>E+wc zRvT9av0W?zH(?*{dSqm{0uH8GvOV)0Q#|g{zqA=YHb*X5^gP&M1ef^1er_YXhUV@z zs{QDJL}F+b?euBYEZNqNu>^Q*34+p@_T^$k0f?ERm?(N6Xw;=GWrhczLlsd}glkZS zgE5Ak4;eFQeVHLf!)$iTV03Y4Amcjs>XnxO7wKVid|c0wW8aH2^~iFdk;W(1m+h#` zNZ%5bx@^r43F((%IHbODOA4mLB^5qPY!`cSbh8ZB4y3oQ6Pu$E8dw>x2Q$*%r?g!! z^#A1{VJqP!WaGIqWUky?lu+ujl@X*E84fDRPZVxMO!I}7^ry8mqy8;1F+1xpyu)C1jkmCa9(is;biBjc`1RuY{2k{{SP3lN8!*7$TRmBOTrgj$tQUpsOP)BS-4 zAU)D@+nJI0>!yrlM_26@h^FDNVahPQ#K-X*CF9$2FrdmVm-Yl1-L%eZS8=tPe$Z~0 z3nchuB*%YvX(6N9k!f;p5Jp4Vp~K#rLo;8=O{>RL7#1Zq(e?ucxr)>z+lfHcP?`8gr|ZZFZ<^~60sc&fD+2I=P|tCBMWdkU z<~I6qKFl-^u?>iOAu5SBm|>%w%A6*pEk|h~Ez}D{SHJ3Br1Ru$lNrr>Q`H;ER6F&A zkp`L~h@fsAF~2#S_;fl`#zF`U&5F^OAySIL-72E0OEb%~aT$^b5JjVu`KOX)1mEO4 z%|7~@EpO6TO{X2!m|brfZHZGGs(t}v^niCm&eWMs^xV7V#TjsuhAW|v>S|G*q?79z z9Id=2g$W-S=1h`&1!qEqqvP3dy$Llk)3|?5J47k>`q2a9^-x2GZ{J04B;O8Y>N%4Y zl3#0CWcbvm-};i(g97nHT)Oe>pEFFdGUBjSGtdu}ag4;*JqmQQx-zQJlcxoxhM6(i zv^BsJv0P&WGRmLra5)}=gr5i?{t1>pn9~iK;Bc*Pq!^)h>~Y6+yvmnig)$QCE-3+_ z#bp#}OdGddl%BZ_vyR_-P)un`;)oxvBaBzsl{9wTZPr~7yj-me39@+mLR9a@4X1Il z2VbsaEWKiaS`Ikqado0`t*@R3=~Bi_T>WImwt`OA%CHcLOn?LG=#5&ZFbQd^Wlw_T zR<-Df+{KC>vC&N(371Zp-8g_gMYI-S=}}MEDu{a8DLKH<`CdorU&hY4#5#9LDm}ij zha(lR$P~E_w`;`OzQ(2U?aNbC7c(p;OP-4G+nUf!r`>n32u~!*xZCk*H1%L45sHI* zR=6cnDf#J%yu@(h3_A*K$rMxe-DTMRHQYRZXV>HN^&}^iDO*Vmj~SaSJV14>nmM>``C8pAn^?$S^B`94z9Q#bWDzqj(_0 zOkCX13gX8UEy&H@HbZjazVu5EGn%j+iOA*t_RBCk3Mj#L;z152R^SOGW~sqJx`{q$;+eID&Q8|2^Y< zu!NH4KBd!*f_qd%jS)DEZTJa$=Q)cCTz$s%nnFf(!1ALEt1-AL;ojq5w;Vh`|8)~l zMurM@5qUK8!&huL^;w5Cp*FOt6}SP35{AnRu06WoI&rQ@=*mR{_+!3TOxR0T() zJ3zVCUG2VY^J-V%;M4vTvGQ1D=lf1dNLD&(Vi%cC?jN3r;ibcVuwx@pPE7wc2hlBk ztaF-7YI5CNN1b}~M1L8hkTD**Hl(LTMb?q{7EQFkvplj=fqRZ(l&TeL<)v0-SYFla zT_$05rP~CHog=XwyFml7YszOF%bj{Wm(c%QCQJ1VYpa#p9#G3~*ab>QTM$~#cWAav z6WSc=aoqMm!Xl%lI+3rW+HL8R9qqnjsfhG4<9^c8my~yi(t?3@J!b$Mf3)K$z3e~3 z$=N=$Wkw@f$p8m@9(%(jF+zspY3pEW5p74?!(z@bpp5tA0@g~+XMWWdm%mHa^2@2F zk{Miht(uvRYXZ!bLKZ7+!r94Mlc|zhPB2rB=Olr*&wdnA1!R@l_w<0tC0PMraw1@2 zMuJ$W94YYEInQnq{yH|O^NC^89B(ZJ#?b2BfiI0@t)ko%q?BIl%;>N8Dl+aC&z_9r zALsOI$#ySEGdz0EbF_y`kL+43bT;z?a94*#)y7Y~;)oJ^sL*Z6NdquXdj0a1Wo)J< zc}uyRa%AvTKC87Yhi;)VqrjEt)e4lLsMMyyjNb;ZuLB4&uCU5x?F{{=bn392;UiL$ z9KLzuo#ZE}t+@?_(~jf=elnzNprDaaz_VaOo|TjYKW zRRwgBHly;1jBP`dz)!qQ)^o~Oy*jF9WwLui)$U8XWH?c#jp=M<`he9EyZpFOOdZ>MKGq32{_^!8qx>=Fmuo-f3=b~L zcPjO6A9I?;3+%^6nnoJ#6faz&^bEYpO{F^$Bc}yy!;X2xUM3?fZTAK4N8)@?9W&J_ zd|-BOTWqAE-yWtLM?#+y7iukBW^7Y6@T3XS$j9DLdPaWH^oC=RuH>vESyd!^!FkBM zwM=`?@Kk^;R8u6hB9S4Xo2xXucaqur&mmfmwGWwZMD=bdISeZDti zm_E0Jg~^Pa87je~vueahVtW;N_jhiaBS8sVkuYYiM>|$v%{0iGY1y^53czk(@&m(^ zIUXHefp3tlB5dQuG7mjr{TxRUEJXbsmfudluJ;o%>OYTut_%ks(8Puzb3W*UUxsbS zya9j#RA(ChKcBC&tPwGaw2kwH;~jyA3k;ja_vno&Ay~%~XhLlzKFmmkD$9gr(@3z+ zjC9Q5PB$}_8UHUmLDj4yJ*3qS7%tzd<}4Q7tNz~(3&%YHHb=23Dt%J7&JrN%Tn}1g z^gp`f0-K}65Kb`|8DDcR;8-tsLMMFs%dG8p@IDS^XLrD_TSK z+iivUUdou>keAy1oA_H;Xx1`P&}Mq(vA~%gw5IjhQN!#gbSv92?cGC*)i1+=Ep#J> z;n5V2%E(v@`i9GAxkMqD86_-n-=TX1D*Jljr42{StS4o_z1lX0NQq*y-WQ@^fwsU$*n*dXgcDKUx zdZKp!(iu#Y7O(=V&MVRE#HVj=pfKX>N9$bR;8Gl-t~1AFRHY$_f6ti*8%=$+1$%xk zX0*WhLVz_^avY>v&5Cd#&w&Mlgt_*aPBy5+bVd>72Zupo=avi5za6IsGfo~0(L&(- z9kx&z-t{R<0EvH|b39BD7fDcHMX0YB3v~R0vn&xr>-oATH~FbHnP`#*w*nx!?b_^9 zGPo10TYx2RuSPF|M>*I73ayFaK1`(!u}8XG^$F8GF93X@q@gU1ruwC}iJNx)sxLbP zKvdwbB^js*%|RfzTq|NC=`dog&8{|evWQ+@CoE)K-pmylzZKseqi7BG3BePiU7(+M zW`2zusV-EL89m|a%E&+&jb&bniNYtWec~ZlgJh!LlfDMaMC^9)No(u5+r_M@5i>#O z5sLtS%maa}acLdTH^QBDJsR>FY!kZqsU7g36zL>84+4sEH}{G=s=QKI%MGA()KsXW zrTt`IX0qvP&;!)_px$ds13TrA8X*(JC%_R~Uj{B^slZZxxsWU9CDuC`+Dh^trKjR9 z@xZ9KldcDnQ`;_o^g$I@(0Z3{1*L@LWA@&h5){Dd6DpyyRoh$KREa6dM)H*OdQ?Wu zsLULQW8zmDQ!1{k3K--Ji<$a{$%aTUXKm*)XvYpxK|kSWx{De17|{Rij{>Ad`~%6d zT#FqWfc1*ZIMSDDcJ*S042mMZ3`?iaJ+w4fmv}^wo#A`sUESh^ooh+_!W9$F+XR3rV&+!Y&L~SD~^9V_?`AV;zee6bFa(Jn%5%=L)BN6xE-IZ~#MOD&}!E^0fXy9+}nlqj((*m_I@Or_fo0T^nC2gNFNAp z5xAraV6V=l`?fkazhqyo%qXwhOYIrJN#{wo;Y_Q!8`|b?IIrIT8~GC;`+9l`N*nD` ztTHL;oSsHZXyvU$)T)H5@>9m~8(K#8FKL4hSS_~we>1{allQkt30~JYa(fy$%x-V< zWpRIiBH`3$!wxt&M^@kO7!|lRZ%!ichhFjdLbZ{O4AKso*0`Txh*R`8+-EK12I@Z-`4a;89cBQKYtM~ooT7i-goH+B`=@bdCr%t$_OjbGwy z8ka3pHL@;kJz+S@WFva2b-OZ-Wlg>?%4>zM!+vIzcIz0~i;t}we{?++dKnG3Cfdj_ z2~0a)b*4?Ht{NS^W>@`h5ufJ^v@QmgDI6m%EKeY z9@+;hbUgl~?3>A3DO@}xFKqU2yOCL6?`L=+%B{eK@DP;`K;{eXtal?1+eQ< zDsp>*f=4SoG+T8VfU`OIq2bZ#+Em0z10$cP+HN|JECAQ#;lkw+!1c$er~1%KYbxCwFNwqQlT#GFZtH=Uo($>SLizonmD;Z?IU$v(32gP%6zG*v z(`Ql{2}f2fBSVvSJ&}x^?C9_Z=N$y_`lU0CBaUhvLaPUg zF1soyBNdHIF2}!64QA}=9Egk{qf>Pz+nHqdhyXO+54|~}&R{BV=UB?qe+u2NB zi_TRE-vcQxC(}kc@>C4hg9p`K;d`L#z6!7`G}(1{9$c4~UvfSK4M=B*$e|jx32nNb zFn^G=D=UeFw=-;xprixWg(fe2KVfPWO?PM_9SKhv({y<3SMgyXNpfY>Z7B;D_=T^Z zL4~)&gYc~IW!M@!WlT#~EHPD;gUO5$Ms*EHve+aQ_`r);K+BIoAqLJ7#as!>$wQFS zYF)F|R)+hvl+n#ZMlXcAA{5T|oFCyqp}ELvti4|pZ9uqX$&!QBt)5Yt!`|smXKXr+ z#xQFMH~a9X(4~@TgPiz*0Z3Z+;01?PfA6Spt`H@-Cdtgvta>612x{{*W<+Jqv~nyx zU~!Ch#dY=g`r@m;kfyqpnE^bI%h)&Wx(JIUd4jtW$g`e!82~Vea#DB2by;@QjeYT^ z{1)3Fh|TL{1jv%TRT(P>ORxBAajcW-&W$)eI5lOARg`cB#;wObRD*J>|0%#)LS65{ z!X@lH)ezehlKk9oGO<=i|2skfs{k+8qg$>BoV6b_Ox?jF+1^*mm3sJ2sTpTrGvnXp zIqVZsm>#CRxvAAQPiTLQ_*vsmJL_lv46pls0!FZhyP(40A$fwL zSy(*YPPA*QP(}u$;?WEWFx@^`XM|sr(87^v`_JJ6uNE6e7c=r0;0uX*)(75wJdFNG zd;N0C1#g#*U6r{1NO$`&Kk$L!d!v#qc|Ev)?#tuBqy-oq6X5HzSj@EVZ%YF;zZdTI zOQ&{?JNUlN`CLgm@fTdr;Ox?MSmQJuMNtAuMAy>Zstl7;=->(7uJV?#>>{I0K3sXE z^GY)AB* zcdLT)kJLH*Lh1WM+jRvG7cXqQAcrpyt;Sq`2e+sFn2;*Cw&YJmJVZUYs-@IF#bnl6 zwZ~^a0r(XWvK(%$F~j%#AdP%Oso$aOCN)jsdJxieg2v1(BxqGyjft3PECrv_qHi z3_C_@XlPb8lF5-cDn7nawHwL(y$1Gr5FzPC~3;??2un74A9`X*AN1rO$KB zo$HKUi7M9?BiTU9WHvfJQA>bH zu_fTMf}O!|KQ?;%Y~jAqf|p3~cRNem$MPqiIBEIRXdew#u%IGsHf?G^TEywm+0MZ} zDXVFg{dTMKFm^P!aM{u{nc+`z{;q|Gm*NSA)Y;(VrAsrDC)sz{bC|;(T}?wk zpGSQArPI}qqlpkd{ZFNkb7bsNnHjxpa5Mvx{U}O)ImPkmmCo~7U2AEKjjf`=%Y&ae zSox4~vSIO&!pmbxBrD7*_Q2qDt<3{Q(|oHvV|!5$Y!S1iJtADQ z2ShzM)y#A~=$vs4w}S_a`^&KQofoAB%dhcb(Tx7bpwa+c)(s^juNHP*->-o;G>COit+Ioh@q|DP`(lr?w`%zaqC9)OO zu6x`PV6oL=J8brEGOd131sH4}AGZekY_ZNpMI@;U>ufU}IXW}0K5D4Y^IoPK(9WW4 zQ~CvkgQAcq*s!qs3{|39;l8r(;;J8c zV%(lpJ0k!G(vC4fLrH@bRe)}e%=sK}RcS|) zQX9Zn(%*FZBSZA`L)28sc-I=I3-i#IhSu@HcekFN&2B;JG@=XROTOE~bopc5YhdJh zbRI3@Nu1}?L_~=$?$yQ|$CQXbcgR>;s(q*sUx_ALQT|-^8ceYD3LOzx;@u~Mj!WkP zcdf9=*5?k?V3bWlXC%`q`RV`k6k)4+NCx za4tQd;K!Y_FvZ$)f(?i`Fzghc7^dOi?gLw_)bFej7bjiD*rYL&@tJKfNM7q88NPJF zhpqKxS!jU4KUd}k6#QePZUDjS@X-JJbysgAH!bQTT43HEFi(T&RhnA%V)Z{n7!8(J zg^rtg!^RAqiX(#?X)z*b*?#-!XhxD-#sv~{V;+|kbm)nl{?Ba1PAh2TE8df~dj8v! zOoGeB2fhS3=x|$urS%2LG@$Jt_-cdcwLX5aEo`rX&PN8&_w%mC`K5b$VY(-W_-4k1 z*6Rr)Vu?^`(@fo3uk-pkD{Wo~>ct!2`?6QD#NwFH)XlYE8I!>(#%?CkZ1W4kRx3wk zF1A_IC6#s5W-1fC&{MagB9m!O1#G!%kf)@<13+_vBh}If#DPo&q87`H9pb$G$fyAl zG=pZ$Iz^V!Q^U(Ax}(fdf7f7+<$CDqS+{{uo827d_Si}ni$XkVU~Hukjp9CRtxe$+ z)cGN;jHK`|zV>Hu{@Pj_Y^|>=ZVQ(I(HQWF^q$dr2qywv40+bfnYO*b^f0Tr+KsJ3 zY#&28+sE`$8ItJ+H)YsYi7 zd)y4gp*AVy)IXM&HuJh(sWF)L#L;-!5l34y%&D)uJIyJiV-~hlqhVR&NqK>v5Eqj1 zxTLjdnPzHHou152?C4o}xmP7Sw|^C3uPV-@OVXyRJ1nL3`9ACWtBZl*Q@}Is&0+b} zeWNmCCoxU5YMG>npry8wBUI-i44*=f(v_mFWflf0XmpI={Ld${#uP&1Z3bv?9&73Ny04; zn(8WlzmJ8sKbFrHK^b0gDWWnwnDrLA>&Ft(pu9GIWHO^jQ#JX85UQb=2UhPSWP0iy zw__+hpF1C-IkcrKerL{3`G+N@nOTD|ELgG$W27E}9Uc3REPQUfzevu+uuuR95-ci1 zIFZl%!;sLxfhC!a1g5PrlB(UeC^$K>B|t8% zD6Xuf-bJf-+?S<>RkNRvthB?CNw`csak-qgp72$CvE_H0ZORz7k;Zn@zji5Y2iuVz z1s>$bziz4CR1i+~uBSU(VX@b>THmrelILPed-6SgtfiX}mU~uzB17m6N4}=`)4$*D zF=dkBkfwaOHO7!HA5ZBH3rl$%(K`$(j|cuQZG@<&%QOge9Ay-{AXGMdwk(sgWA;=X zvl%n3Zkj(ct!`6gtbhJ2jhS?6&NvAQVdvNPXPfzDNHeLau}pZ{)YH`;7w!(5&bok| z4u>`s#|kr?si)G)BSgz&C;KUrHN_+S-!iU)p1`7bR82iXTI@d=^WUZo)McC%gN2++ zgv&36t?JM#{OEZZHXqI&OB9hRc<_Vn1xm^PaJUEy-+i8MNJx|c6Qr?9WZ(j_l_ zz4$K6?X%OA#7UzPyjwPuBK)iezo3Sbvm5+@+Jcp~8kG|-j7_hvWG~f0c9z~qt_N0H z9h7gg-7wX@IE`K+>{WRd9n4P;ZBB=+sXgHF4r7x+?JV^tSDlA_s)LVEOeg&AAS4tB zMrruy_CGn7bc|i;%`Raq(;^ZD=MFMKI?c>a8NN>Wf#a}LOgq%&WO<`l{9w1ujPHpy zGGuyJ#!5R2TbSW2k46fiYxZ-PfranIj`WhTih1+t;K!5x@MANM;l?2eb}-jTEUrxV zj02_uo?kU%ObyyQJY;~9p={pgrwjA7# z4Z?Y(Si}5u;Ayi<6<_HF2T`ZhYv?zm4q`t?&r2hlJ(4#el8{h+?6H+oH;T^rP*?dA zKcokb+C%TqgVOAQ@AaC(U)4zX22by#4hA#c-Wp%{ZJ7=v%+AAzP@YzSD6Aa$OjqWd z*BsZIRb`!H0oE_6k0J@v+q)~bd*|#-+oLt^Fuma(^g5*V=BP6qy5>udo9GXykCDF7 z@h{Y%T+5YPU8q4H8+ebv2Sc#@!yIcmlr*O}?HnB%Nnbgcmbe<1lMdx!e{Q55+QY}o zsn1KzTJ?qy#@u|NT(p3!|IbTJ*P%L;IKx4lY2f6Ar$bk`9=%kbdA+1Dpu=sWJ}|ou z<)Be>Y(~pNxvGr$2in)6=&MrbbDGcO7Er@xeeoPU;sf-%R>RvMW)C-|xze?R(;=w* zr8MFj`$}$w8EHw;@OqYS4X07EYU0+Nsu%u!97~)#67c!<(2EBWIcoR87ymyzhU*r5m51|zb z!Ix@zL3h7&nxmP#Sk}sRU?Iw}Oc~aN(>HTq|C8cxsF0JfeJXRBFWs}UyO&07v5=PW zVc4#W>DM;D2~;!`d-~=peP(ztWf;NNK8|`u|6rxlf)lTd1H=q=5!Dmjwt}vf&kPo; zA)St`ONiKLf60Rfco}qgV5`!0wlw6+9QsG?zGQ)meTA*e(im$6o<VMJ6o({$*G^p)#u))}b< zW+RTpLVo$4HujMFMj&#Y4fB_goYIZyk$f_I<8pbjie4N%xhV~vh54*5KyY}UUM|B% z)=%ke>@H_{M5}wO1*2awme>7h&)`~ld`yHoX%Vl^9)A#Sw-g8m@7+A1>)7harbL1yrHst+J@q^DQW$+&nzwRN)8$k1v=Ylr?-g)S~vS$>ia1PF61NTlv_N)0JeFt{-d9CFky229qnU_ zbPvVZ7#YKsm*>b(l{`s+l_CCv`lc~%bS(}qkTLby!GMI(O?U8(AnAROhy&0U>%lrR zjD6TDBT3S^PY!#_X}=ydDQ(!1D*ql{N(O)~R;05ZVEz&sZ|jx3n)0v$JAo|9OBtU3 zyu^>7iEQuaG&7=e*9+{6wk-BEuk7l1yGRq3&~3EqY>^dna#|2 zcGS%bpj8}Ehp&v(?{WJEGk{%}m0_+eZegGb(0%D}z-LCc(O3i>(sMx?0IZb9e{>8x z{Zb$UTR?dn>POHvo_Fem@5;NlgB(DoKN}W^lvm~&>!dFrGyZLL!uS7WVjp8CWT~-b zX>&drj-AX0YzD{y#J$5I-ig*PdSd^9O^o3~cxq*xk|tu-0bbMfw!##8gt-p@P=w!M zyXRe;T)x2u@X#g?5JZ|9urtF%)l|!kOAyID9+;H%I8cn4xL2;;Ssc)fQ+x)M$iAD* zG-^#--Atyrtpd$iuVV!mm4{k&%p2y5;@eF2ea<6r1&H8_%Ht}-W2Mzo4`|Dwlh2sR4<=C-fQlELJ8&~?-#ZjR z-}OBkG$0YrO>qG5@Q{Aa2t%$7xJE`bW;pK46Na9B*UOCH-Kuji<7l=Q7BEuTIhkHB zreMMl;>{z{D*>5&|2ofpd|^4PHvb1B2(KA&+Rl1ca4fe8lKe^_`eY}9C7-=!GTD&* z|E1<yYo!2=<|r4@%?9W_*fO$ZitPl64D6S^+wXPgp50( zD>ENuw4xh%qA zI?hMVox=gZDFMwOBj&X==HVRU587t}R;g*n5_h{M|A}pzdzb%}j;^wkv1t=B_VEP- zO3?b8%#eh;_yYFq2Z24YXY0oCu|etP!^JhBwlhj0x{zu*9&r$;0H82L;Gj6iOTTo{nWBzi|1q+_50(uGXX9% zXKpkdj{UatFJ@Q`8<@z6z=%sqDrOAZfM`^n@Z|3gN6D&Lus391@8ua|6R#*o0XmNKj%;8a}GMmKsw&UM3)vB)Rh5bMm~AdMZdFaA~y zJAIfI$Kn{v!Ed%dn>Dl-z>EFSKmF1+OzCgmT_+2SP>TE-kxbgKFmcatPk%gW=Z;Vr z-`j-W3N~vMAE~JbJ*=Y|7{!?g|8Xjfj?!jj;p_%mE(>6Q-x;pnvNiIJo@XLgH@hcBR3wlDXFu#XYMq!6Vx=}%dK1H)EgO*EeF;hg=_uKhAH33J{>6oBl~le^nYs|8O^zImX|o%}ZnI!Cl?7ukUCisRI`0IYdLwti7>R`# zZ35%y4OL0*&jmy4x|gkW&8jqcEW}?E-j{8T9q?)-7UHehV9!?0VeBB=G;KRn2`Pzk z5B+82-F33j%P4}yMy)j5R`%jJ7!?h*3t`K~)24IMg&~GMf|hX+vQ7jk)6@eeQNE?T^HCENJ63(V0v@7iUaMN53qUYc^az zTH5Xwbod5Dvk@1Re)#py4HU*#P7<;Yw(9tvJ(b>nToM=Pkwpx>l+ph953X*|dA^aN zDU%kqLqWEBamGG?AMtafHCoV-wGo5GrX z$!HJcAzytaNI(x*Jl;&>()!8D%g(PPE8t{|cscj5Ur_lL+4b$exi9qo|tE|G&)QwG4cx+{0) zBnpfBRS^8GX9Jt}_+T@^@J9*k3)Rwsu0!So&J{SIycAjs{wD8;!`!hQKcx#CxoPy)srwN5xFyb1n3F4?(`MGNLsN z8Vk?>+tLa%db)}0iTScTE%=HEX*ZOSD})2J(m9P&6?}DyTEMY}+s6YDT+1=@Xjxm~ zV=cu%zPrTA=E9d@X}~k^8aPb^hH^E$E2PbiRMeK znw>li+Akif2t3ma92nZ`X50DIXfnSGt*1^cZPmUMBYupQH$I!9$#K4Yt9 zdQdEOWSSvztKG}I>(nQ&l{}uy84f-3DV>NQ9&Dh&v+}2!h(FLYFHG@gdZ*F;O=S<`Or~I+V zt`(kWoENOp#Cf_EByk>5y9>m5<-K4oQ0Kiw?7xhZRhTrKlT#JEdF}BLUeGz{X407M ziNuL}+=9|U7V=Mz*q4J+1gP_5vtc*DoVVUtwexsUD@w-3;&B1Z#Qu|>86xa3!%EMs z2d?9V9!Nr2?%TnnN0JrF1mM!MhLat`hV~%*7nC37bXd%QFsik$LRJa|dc=GRQ-#_( zN?9@3^d58R+U>HKu}ExTI&qY-{zz#%Rp(Tht?dwQ5*2sGIymZk+U-A*m+WGV8&C6%c;CVoamDSpUyAZHR^`4o%)v6S zd0gAmz9GH|HQl&z+NEnSBlUWV?OcYo@R-`TlbSkGg|5VG=@pZS)A3~^>bEW>@y#~k zevgMA_Lq^WJvMxM`yOi7wjTLo!?)>q$(*|*P`FXfZ0IEtZXDtZ87-;9VMA&TUZ_nX5(%GjT~I&b@yl#JHvM*sFKFRGm#325-0rH4XdfBOv7tFT#w(JE@2? z+!YoPZm*(jQ;sA2F4fY~9fi}qw&X4Nlwq#T!CG1d#fbBES7R2qvJr#)C4t*uuX?uo z9Wlr`Z&_ekNj3QCG_d)#hiPsbE5P2Ps{$(+3G3nmzz9AJvm4REy~{G4$`KAE6tj;e zeb7T(`cj zFDvxu-ayt1M5H>lMrv~P0%9FrU2#RXk%dZJni=kNmG+n-Mgc<w~HR)c8F+d<$KI4yZNTTN*zpX>+9|G z8m_A1b+g!k)-7+VkJU(9H9EZa)CxNWT2YO(n>|IeKenXM^8dynQ8t5SP#QFz5{wVd zvER(dV2w(*hv02PaVXzl4qHSIm+FsG62ZdFf1o0+J4s$yVdD6snz*NA1{ zq98qnUh#%Sv+eE~;I?v~?q=(CyNnqo)^kH=`O;NwK!kO2bJGMV-=7l`N=&MBDi63| z-Lno(kBlVJ&W!Zq<>rh_kZ<35r4m;2AGF(26RG3N``7HMb^if}Zt!mJ@(%Yde|F`| zyUkR4VavaCdfRiw?LGhaH}9Qs9lIXz)!iM3do%T)Lqqoy8O->_bhRc}Z>0K$m$-e> z4~KogZYHgU-pIS=P)4e6KGosVN(V8_)%(5Zz+5ez19!CZ1k)bO=&9d1%&>emne?q? zy2#v@xfT#}S65s%>ma8c?kjSQ7|($W{{ zni@Fu%2D+W3#=x{;!%4_k}JhbKk!z6=*$ni)t~T!r`XfgU9#H!umd$w*~(~l(_sOD zt?hSCo{|nPja4@9eq1UCp6UgCM>t1a|{Ew0`qHHV-Qa=2JlS(8rlQ^s+$XZ5`u}-u8{E*AFHyG{+Gk^Kxt%{j^43l zR%6@O-?8n!;Pda1RM~^?10^`$M*LQ|6wr(F0eUCtHuOYKp^ZBmR8gfq$J&81%4$1~ z&e(qh+7sF-5u_D9lH}B!y7dN=(#(W+jprSk0vYztz7L(&Lq2t&)6yFp(K-LvWll}< zFzqH#YDqNvIM;q+tpnuom6f5ka<&OJ^w6 zrB)@aRO3uYH5elv|1ye%B&vrG^kR=>a6;|%m>~}sCdTz5JWzxw?!4N03@PP)1w~kW zzq{i*Xj8n3F@I7h!Rxy+fm|zZ$Bz{tECO0DSxlI08hawy4)jy9hEQ~9NspsLGknKm zTv%YJmij&ETl&pRrAIQ5G-g<^9xAa~Gfz0qff`8e*_8d@ zGW>qwG%mUT?l0|O#bVlKjioY8R8H^rUq+&xxSs$y)*dPPmvOz4_=;`a?wS|a)E9%b z>VW~C_Lmmx1oW&wJ8c6EmSBE7@mt;zxj3MmD(%lSNXk?mLQpvAb`?E^`?1|J4l}ly zW;hnz!Hwx0a^N~_Y%iw)kWTH{6vHD{HlWT7`<2lGcEChW=M2gvJ>1k|aJYcr{rdQ- zo^BwGM2PTRjmgb(ZlscGf6B0-n&S{*v-!a%)7GnL$&U1SAshaIn`wP%u10>Ah>yAjJ- z-_#jNC$4n5KXGQkJ5#17SmvzdnLg|`O+CyR7j;opq)GHu=S~7JeZt+- z!B$U9V^p^?GT;-pO^}1jM$89}4TB7vb>^4bXlSAj{3@lH989NHr162`<0WqG=ej@= z({*Ov3b`l31+waD`YC7HTfncRiZ;Gi5Ou%X9=sqgMee!WI^1j!|M-=L!r`$!lN;`g zQzjIqQ>&s9+aK=OU)mA#iV8T^O>ksq>f?FX0~sZ(_F+1SpSYU^eav%+t_)^OnFgSy za^AZKP)&mNQ1%Qzo%wVN03^9?aO+ufCDEr|$=KhjW*I!f&le#sU-1Dr9jmA&Gjdm@ zY?To$xlsUj^G38h>z?gw!_jqT^76RTz)gpf1J9lISOw1hH*NTVua4OlB5kV>_he{t zWkln-dp&dLj&io~cQK)Um!FXlfU&rck?ah9!iuAz2O!s9GVWi_H1qXbd}XG+L}kp2 z@IA~hiZ85v$S^uL_U&KBDhXfg%t(KAKk*XzB7I?gleMgbpRgG#Ly)rJ%ZOJ9>A&>8 zf$90cZjXi+X#?9nwtA-?hsoo(I)Qcm<(%YPENsF_#C}{jkdscc@k+2RE}eOUIldp3 z!}PR(jU|PQlx)6eXRs)aTtdh&?Ik+~h13lTfwVWC!73v{KzfBCW4>M+$XMywuU6Fk zAT@t!+#ux#$#f1Ti)IDh&A?tE!$5}CSjjM)P8|ag zsxD?MVwz@U@`afm#F1QSbLLbo7jHb-%?xv?k%E5x3Jk~?vLFZ56*4Y42}ggQ_iSOt z^?~}OPkB8#k#Rl3_(311;>ZA4=7EwGGkwFSRc3e@hY|o8 z4(bq!&0j`Mg*u0es)!4%LeB98n{zKz3m34BjP+7>|1!G$cllA{(tiz1$nbDPxF2L# z`LH-STXNMdrkBwvt25oK6VrE%NNH)RM%r9hTHA<>=D=qhVu;xyS5wBmk+}vlGHz~X zE!z?qH#NxNx_ljFjMturjMN8m7o(d9JIf6MqWjKs1?iJkR@R#C0j%Sa&kp_n+c@RM z$`X!)zjl5!7>h3#cm2XPthG9rkzC53p0LVEpClYZuD9ARqh5eIU#WH+T2mQD$4ozA z#nxPh8D_5FL;x|6GJUGjoWtRG z`pZDfRaMH4_L52%4py(P0|GLdVe#CDz|{1FFh#~N42a(p4llYpagXRpMP2p4(Y0}L z+X;Uct|RRLJ((!D;NkCLtrh!UaI}grky%GUbu9aoI*LaFLUn- zav;{)nXV6T5@}1;Q~zHA=E{r&RqFxIy~(i|mYX((i(v>AM`i>t@7cz{EF>xscH&YC zaqf;}EzrOOm5|smrphqJ;L|G^A)Rw|)SVYNcB3ZdC#H#`-)U|SOZ)5S?+jkeHn#Q# zwME8DS&Xz5bNW`Jc_4Su8@4rQ=KwX4+^izmAHXV-Uq-8Ax>y}gi44R=jz7yb_9Tks zHZdZ|_ajur-C4uLaf2ttBbwZ}T}^eI$CO;Zkw_apKE9V~0U1^yYY>K=tF@3uf-rc3 z4FmZ9f3DsoXMhJ?69ZmB!P7Pj*hWtb@7-T8A}IYelrmGV)Po{} zLGD4gX8Y>MbTyEjVkd6d4u`2Xx@6l`RD|zDl(7w?UWL9j0{jQ^+v7_ zjtUI%^=$(T@z>giv`sxsWs8b3y6sgQcUa{`-oUL8X8C?0^~l({h&wa90=c(EkZ=Rf z+3XCZ)d~x}9#Kab0c-|vi ziw8?Z7%#smA|PT*zn+oExNO8MG?B!M_Y#C`x%Pde*X31F89qo4B~k=&vErV)0>Yv@ z@-Uma>~UU|PB-_)rmtZGE33UgMy|RD>%ujp4~~o|TBnHOVpumD0X<2-N+#sk?M6H7 zNyD#BzKGn??v9PXE&VzRAj5_gHuJArGcqp0o8A~1>V=I6w4)d>ID1a&6^AlT+S8Cx zzVEs>D&r@2NVYr5v0xAjr+gvAYIf+2yt~DeED>&74cW{{Qqx_T0n5atDMn6)o?J}t z_c~sRDOv(r@k^(Vb^O%FP__(93Agi2e{8^cv@$b>LLAR{BNvIQmA$)^%Bz)Dk{ zJHJrId343UbTyHT+K@p82ZtM=6{-sLzRluFCPhP0hA|0YhC;@+M?I5ArhY0tN?=qZ zGqZ)*D!;^oAR{fA`l7wG0m#VMPW+eY1`*!v$grPotd{~75UE31zztc|S%UAfYQe=T zPZkLIXKGgRSHO(2H4@4(T2j-epQLT#P>gh-XTMB!<5mwVKlSS@(r`|fbmLMBY?&S( ziY}mPJGJFg z89wrdrcmCt^|!3w<4vu=;i^18C*!zKy;Pu=(R7I9dBaH~od8hH@T7uMeaAeh`NgG5 zj~3R;zQ8Ks1z{yCRXEU2_eWS33mY%X2i+1^4+0nM% z=u^np-oe$%X3I1c7bU%rc;7GeqJ~-IZ@HN#Ng3%s$E`FFBvQC6zA_x~i)$Rfjdj6u z$T%h>TAc0mYP0o9n9089APGPAm>x6a zSDt8anOV;+4iA}rDXo4P<$`86GZG3^nYN1>Z;>Tf0i`$W%s37#rdFSuZ zTq!^))IaGozp>J~Ub`bQG9-;YIO^z9$Jzyk4rY`T5co;Ut`}C)GOA@vCitFMch9s- zpnO%r8|BhOA)^_`pmfp#s0u`(zD8SQ#p_t{*&I+7_rU0i|3c#P9FB?YKZA6s0 zfN*3OaT>mq6`@R%KAUeW;hv(h6E5k7K$*I}HUQG{{Cr4X%aUJ22lTqG36|wva)U1{+Gz10r$XsOWPsK3rT6#-?0Sc?A|6g+Ad*CqJi)md)F9k3kHj`*XUG<58KvQlrQ z;okFTYD&MH(wtC0z-VRhg>($lIUL+S?G;PF_}(7LxgVpgG{h&DJ16z{(%*oG!pP8Y znxlZx$b3RkYy5-~-SOhq{LAp_n=0bu&61VCXeo>m%k(8i+tx5{){Q8Z)+&?96H9>t zN?UuIDWe%V%`b4p(7-V539hv{>Q1dYdsPkX<@|+;b-XvTVNCnr%z{SM8c_~IOJ*|u z&>(wnH?B=Z7>o?%sf_+AAQ3UawX)rPCgry>Y{cYj2Kl>Q_>^(dHp|WPcPFzIgLMw8 zU8lM_y&`x&yVxNf^1bcZDSqkm{kim|9+9TNUs}X5i>qN|lx}uwW|VH)0>Db`EkBYb z1<+*b;q26O_qx{JCfMsr8iRb#-9z= za>rj&M$agWLpd|G0_^Rw_c{fQnRmWTAq`wz4@W674BF8D+}A;fUw{Zz8x1>mN-Bog zlMF1p^$(6Gp>D+B@7mw9yG1nkN6%P-!Al29ya9eLR@?dCz|W-%7LzxybY;eT{#+RryWf(@S(O6HUVU>{xAtv+AvGlLuAhMvgA4OdeSsv>?y^Gi`9ez35QH|41| z9ekYm#ikFafLJh$Sc z?^RdE@J6G)<{agY3x8`vreiqaJ|l(gWV$3WMj7pognw?>3Z9zbUj03X%lT6I!E`Av zARQT2b+eJjL8B(m33yxEHqMM{>5C_KP=m{qU6^6&`9UESM%%}?8W{#fYpI1zR?4UC z44Ea>Q@GEuh{m)H3q*Cn-{PN36;Q+TvFPMx2|d}Ww%*9VlSLWLWOj>l@7VuUI{<95 z>)ohMKaZ!>%iYj4@zo*SfU6JmJ=b|O}!YqF-StrpDy2hQvYU}KP<#XhDckb@{ zDP!m)ksS$E&FgrKbQ)|+b%sD-Y=Vi{)S~T+qs~JZFxQ_>CS@As0N5)vZj?`8k2DD> z%RJXzfFpa%W70#Ut}r&%D+B$~Iugdvb6rE&D4>W(g-Lvjr%qVEg>GNUFvP2~fFgwoVau?1zAy+_ zBVT0*41X_tqlT&bs+!^8JoJuuhccc&=fMc=Qkz#)tlhQx$M=Z6f^VFh4x7zzY1h;0d8ssPNKs z%oY`q9+&)Ln;L?H5rKha+^o#V9bDT+VmG9z3O=u* zp*wt~q)UYgt$9L+Bw2%>tG%VR43QTnbnPLuX+u>`HE4lLB0$%iIDBC`F2UgVg3I5$ z8HE{3>zZn@3Nn9%C)Rkx{qr%3zye*L>v=^aTGC=TZJ#aPqiPS+v6dox3(qE1%ioYr zl!OFSxY`O-!VM-&4WE1i+0+}op4(#I8BAU;B;j&XM!JXcsO|I*fz-;K8i5H+Hrbhx zWIK~Bg>H@X;*;k$TzI8gmGCa9IkIyPy?q%WR+n=3iWT0uTXGA}6pi*Td2~$xK z8OvHP_^Qi4Jxm&;!xxx!@pM*YRI3p}15(3W!HGZg#&yCP%vjckPl^oyu5-2w?o46R zXm^8zNuxje(#T^&&4fvVpeqekeHj;#w$~Q_@krl(Ug9cH=H{m4ZwJoYVQTbBwcm?c zg^0J~*`!BHOAEJ^Vce9Yossm_+yh43ZseFznUg#2$F6q!TNc*QErSz{UPn3sY59(O zz27S0NQ*c>Hhh?;K)+~Y)OcPvE70M#&ax*nS>RafH0;IC^A9oEU#MS2JX|SqG^V7xlg z%&lpYcyCSRJ#&Gvj%~sQEqs`1Y}sK?_j&y}>$rCC!6HtEc!@S-D3FhPJ`{KL6(*p# z;~H&DRui`n|M-o)b&yIMoQsR87GNw_({69a%VuyfPLepAfvqj z(2-&AJQqWR2v~2kb_Tnfsv~7)y>YBDpFF#uVYGJ|?{|y?zzn8sN?BZ!&^fB}6b@FH zD7bqxm3q?AI=(?@fF}e6GVCd%jTD+n`z|hKBsiLz^EPYm*(zdNsm4uhU&c26Sm-uo zZKg!9?cb{HW1Dh`I-I(#6{6{+?lc`!bcLQ%BsgqinU;O^{j#gnY-&O>bH-Rf)oCtW zHlg-6{t7atmkdj2B>|3nAX8F)Y1sZx75^8S0N!AmZZ#I{amrIdrkx%kkYMz5%#z4+CW+!2y@**~aa4{t0Nk z+H;HtlK=5esV4&Ae$NgIMc8~Va8QIj6sNz8^ZilYRj9_^tMD;x44vHSNq6_yl^Q_! z^>HU?fZW%lKtkF+3rgDj6(VN?BER25zkMYSp1}{w`eQNvWq9SXzWQb40)F6-Mf?}- ztBGX}q3oC8pRrjbERD};`OC0bq45RdqRwFpk{`D#oo1JhooYTT`MZA^_Mo7g_shs= z6P+2n!a~xHl?$43l!=T`Ik&ice~)&(1)HHbsuwe^(@tjwf(yt#%x_Y>(Hryfq_7%C z)}!xbD@hL)TIp8Og3r5KgE>vYVqp~-C*!au+g5_f61M>loC2WmGwM0atQGT(L<6VEq9P(QQq}`s~+Qx-#w$a*L|Ii?wIPb*Xc4(xztOW<& zpE8fVc(jyGvX!Y#$270pnLvtXV>r_e(m-`wtJmjYun`b5Z4y$YC#eDAci7XJ(2W++ zBc445!6WLk;etiaF1*S}db8>xBmq{=Dr}%lDqUsFHykoDOo7UCA!129LTGE33p$eJ zOKc!NC%=m?$29EenO(els`D1v8pg!4v5#(84b)00C7EU@>Y zQslgA*O#3|R_ohorfm^8f@vl*+9ZDtH4gNgTP0OOB8Kd6a{fRL2dl5Lci zgw|5j{;+tnm)EYNUPesFha# z&8qZy-Sire`13KbH6Zb&7*QJ%W$70(1P#x!h-9mSgZ+Xz^|@&`VDT*q@{^gkj-m`p zla(g}6yD&u&nGIS#w+^br+ zb8+-08}Zvx*8?tT!MIZ2A7rXH@T;f9 z9XnmuKK|6*|M-nIXxVM-;rN0`RNIw4S-BweNjin{xNi=r)AWmu|56L*`cg_Ks~*x*(R3jOl}GpjTTRxPJusjO<}7q9&7M^lYS2FfLpToFarbw*Zng zu!uNBJkxo;^QVJEQ*J zdGu7^__GTG?fza`pyquUk{TF3Y*1#E!^V%!Jv7)ipXCWP@4E{J`2E43Hn4HZV5}FG zwQIcNH;{yAAyB#-<5Kvu6;KrOh-w8W33pqA$o6=2%qd60b z#5E1>5aH$Ze|{VDdEC)kD3k>PD0*ecu0v&4gGyOvX;;Q}!}Nu9w;G=tNtMsjuSMU7 zD`R=i&Z|)78ixYeIzRSoTdAUdwiB+R)p5cc9kwQZk*Wwytn=5m_Lq^ropm0Elq>v& zsUekwK2CBhgn3%to7PQo zD8U)}1h_)Rr4ee(z@_XVTxt)mDF4@lZ@%=KT;?-4=O2ER2C`9k^zd2*$A)%+H@|cm z-j7OMf9?)5sY^JVK~GAFfOWQv_(-t>Y@{!OuubzqYvTtUsU|Ze0??6~ewO3iO&du+ zmS0Am?;1dW;&eo@&~CKzWGfP3t(*7k=@G)=yr2b^m^3B%f&}QL@gLg4JlNxsDKfoZ zFXdm_s7FmAY$fK>XOrgLX8FlX9$w7?fSMjleuF!PborVD(=mIu{&yucG1ytnZwu;wR^DF8v!FNfUc((@MkJ)iJlN(*WfsRH z-SZX|9`htMy3)z1#de)xT1`F2nJ*Q&axz33cf$4E(7sGpM`PN`uzH!7UwE46C-E48 zuZaVKZf49s6gO>|8M<+0!q!$EvegDF*Pn&AlkSg2p6`zXSp!m6ngxpg=dv4fvYm)R z^RSS%lfF*6>KtEGbfZ4O&Z(7xAM%rV6N(#m(Vn==qa;x(s~omg4ZqP|N0nZa89F%rkzqIUst*zyIysVdWZN3(xI7Em z$wtmMr~}d#KP!7RZC7z5v?*KBPxfa*}J_Gxao%nIvdT$*bcNmunoPq z4RKm`+-T3ENbk7Oa%of*agC0H8976$iroKPH?fY0l@H%e|7|geDNu$DH^f_X(663n zTzZqSrVuOxe1XZNxYy7&vl~sex?hQfFPPenxcA=efIIcK^MXoMaR)5WXm6(N z^sOfJ$|i z$}lJO)>2!SNRmHerG9iVV;j7G)UIv3iJGx9Mwp67{^Z7X1DW)Am~=CYcAirYsL{`p z)k{PB+e>A<)1*5yVX=B+y^w(3)0v7c2fwN^LMD?VNp>1DtQPt7{(4~xJ+DqWw{TMu zDIX`)>{n=E6*t%xr&Qdf-jy=*K;J4N)ow1rH^8M2JhGe-^DYE-8@}r0893aW%z4E0 z_~TdFr@3o*0q?jvod>Yead-Ojf|V|`?Dcu+S~>0K%(w!2!PIyX|KPV?Unyfg_zrf{ zkzuJO=y3_60;=$fb%U-d{Bun7FgCGl!vs}leXgsE% zKGV{^^@6n*W2%H)kQ5W=HdXUvPq!($CE4QAr2EZLMk>b}e_<+eKD}UMt$x@sptA7& zW1){N2#1n~PPb1JHh89=)KF3~h3|d;`$qD5P#ne;N?R5CxxSM2r_PL;F|Rf=lJS{6 z#}!Gm9aR}-;g~97zjV$$eDC@DD$_|0&+T+w7DqNJBh6Q(*B|fl4o~~XTcU@by`=oY zjPw#y8>-QHI>Q(40go-CuhfforN;}6!wxNbN9Vm*$l%O(d0*JYW$crNL9AdppE6Dck7XULyr8ZQ!eNOs8ecGt zYxGz}TQAn6BM$I-*3L;Q0!3)h4J%9`cL{jAIvfm3NQQjf!y;7hD^s7I-BNnxaI1)I zB@q`Gz=)a!yugG%>|11_6D5TMpZIqyhjsddKlBr}1*$dlmxm2Y>iebNf!k50at54JF>=Ki-c;H!Y|X)O2#dDOUr-WWp2u z{WTbKXl;kpg%(7^vY${iIC1nyF^Edx2wC8y64)iC)c7Kl1LsIr&dl3|GVJ`& zSVS`Ie5|2app7tXa2rYOWgLjV4BtKuOYFwz61wus$h%?e0|V}<`<}V*JP|8SV+kW! zYW+fSm^==}_(pw^UE@phmAW<3$I?X%qXU(eHfT=vd)P$4BXqz8)>a8-%p}36tTPGz zG<4I-e;(5VKC+Gwt2YwL5WjqU5reDTMLfQw+SnZKz91NLq)cC9@_Hdu;oyA6+G`~a*<@-`KznD>T zT6AV)5TUqB4S3#qMGa;Q5h6|wH!`-=Ey{4vEiMpnSC_{uH=ryv;R4INyl-p;2(^Zc zQ*3A%Nqow7WdsmvpGUc<->F)XNAP2*H3{r1)6JxN1979}qZgNeQA>JPbEZP=Tkgp{p!U5N^Z})>G}oLWwd}te zAZUKY>eg6i{R4g<5wEG=qkMqo*SJ)EVdq(GSD^Ln_f#DS4E@;f#?>2h*42zL!u=5( zzVq4EtNmyvi|^liAsjVB<*+pl@V@lao6u5gyR{&U-!*`mt?!uqwr8C?D#C0@oiiLt zXk(1n;L*|thCLj~s=*P!c}^qz?3q)a%lHT+?R?DJ15jG?OS0v|R8pD@za3d36!$Tx zuC=GA(3$H-UzlV_vjGM_hip?3zBzH|XF^t+GK@AHYUS1VbdJulww0Sy@ES+6tA-Pv z403X0E0#emJVAk*b<{o;nde4lr3hB??v3u1lS8xZokP~00cfpu zCH8b@9C0=RE?Ex+<^Z8^F0rDZmZ7*~4OT2{i||pFD7(?3RB- zln7n6JQ$lY{L6I&^kj(E?}0Y^0ZtAmtL5>mKpNprZeJmlF>`42iq3+rsdbeF z+&thM{?Ja3P_*jY*B3qlX`~vVM}0IN1J{W6hv6P!pbJmcv2#Jh7j`e8P7Hvm^{A6a z(ok#8ER)AjpA}##{v1Bu)&#Q)_hQ7K_ZwFSN{IK9cM?aunco<>E3D(8= zY@8>Z$0aBLdmtPgUl^B)jIDHZG-7ARNz@PT0LQMBR630_lSYuI7Vhyn_$dG3A}<39 zhi<0MV<;oT&vO$@s{%KpW7R89Yq(iFTR*^S52$DY{9A5=XI@?D`w8UQtIC^S?&26@ z0NE4_HnMPYMO$FP7MKP z)2SAX`N_G$NyhzPrUL>uKtR*R<1z$j8UY)FuQxNsG(PTTnd4(KmQX~Tsfg&Y$Y-*g zQ*8v>jNJgDbJl*1n0wQH2|OKPh8Z$YMqhfOcVflEDkIVe4m{YPCG5n11M7kAF;Uxv ztFbjB5pqiJlv|?wd7a zTE^yMU;SA3wpSd*$(gK%@hy&v2Vo0Sf;5?(Y3rKl4G^ro61rm&9*J~44n5$ibT^6D zVFFk>R(qr~=v}1dyNyEoKOS!eX!{?n!|yOt$D?FOA3m<`X#CLS*o`GNi6FAo|Ba-sH$B!(P|!Yu zG&5*cOuUsrjCinves(_Al{Np6CxS;-4jTO0LR@TT;G*Ex%DocsIA6_~Zf0kVdAwGF z-ubzgFd-!Cn)+gifpNCo%@lmIau4R~STm0dzxGHE^=Rxi{!D*#pFaVW7qCIBKF(K! zw&&)|b#Ux~IYOibafJ6~3=J3_n2g;I{0^F5F&3b6(9{kYW+x(#BscpqPREY{8H1@6 z;`?&`+@?1!3ltk;_l=8zDH@%>#rmFc^OoJjX{ zJd4^5KVfZPjDDp5hk=$!U*PDO6$B1<(FcD64+56mQym&>3G5B-TZ~+{^ZR5{PRRV$ zZ2a_;-y`QtwB)yv*wDdmhYx#B3GhCwhf^ha8)kM&H!(-{Of_F92DigyP=~r9 zR5Q(<{gw}_uOT(=l?*hTL(5jI9%|lw+128>Ft9gYB%tm z-rX>dNf3!ahc!%8IBd*FqP>{i5QrV^CHgkgUor%Zpo-;ekK$*xy)r%jkc=nRm*#L- zu`F~&+viF3cKn59cPx7PfplX$H?Od1Nh=Y_BrlBx0t=VTrhMJ%^}$K7Y|-p|?E5lH zGb1>+JXpK5>2M^rq4!keAf~2PUzDBXNz`HnAFb55QCWJrgd7jf4NX_hKZl{yK>c>} z^*|YpFA0;gH7R^$@oQ=Db<9i9(m-2leswLe-=V(v zxO^#&vw8a|zh+p$dW^|&)#|{<|pzh#%5nzR- zr4k}`h?1)MP;xf}6;Ke)!RN`o!^hJhj-%~+y&gFY5j&;B7*X3vLqLm>I*vg*W1x;B zesBhqlRFH@`OHWA_DfnQ3UTh2-nO_z%EYrR7BzTk91y2OIxiqKk{;%Pv$<7=73#50 z5cl&M3tBZl<%oX-+u^+OQZU@;ER0lMZDKxv;6?ytoTR_B(dIERVOG>WIU~6&Tg3{m zMwtcaX@d!|r@wB4r-^m8(aW0KYV7f_7h3TXZGq~fJ*77fd03^}69qK(KA3j;J?w%L z#es(+*)4;_qJ!P0UWq#hPI!!WND0AjqCd>)Plh_{Os7l}69#S)x-CTUzX>DxE7k%` zHs_)sg4@I)jrhK!o`q-_OeGeudZb$h?wgT*y-$K-M7n1*1{5RG(#Lk!QqW}UKrk|; z*5v!`Wl{~k5i!i2Nai*1;$e?!8PhZL8^J0fQF2A$H6tamr!e%& zR29jDvq!&cRy|qx#oRKTo+Po>5X^JmrnTG-BbE2Zn2}%xvB@{;>Q{V^_kU-zoEA7r zIGeAkCTKx)xJJjiFULGYB7$eVTX)O&Trq)K?&P6)4AKx2fJW&?KnD^v7(@1DfC+*S zEsw_Mc|4XVKCKrsmRp4Gl)fy|Gv_-8cAB3#6rDjHVzHO$wD&K*-|fIrV{l9z5_*ha z4jFPtkFidFJP!3r4ytJUvgRqSWkK*^CN)0ySVicKp!d+Nut(!|23+P~Y-tv`*|+W6 z3uRT%a%iaH?PE(0|6?){^W$SJS7$Pv*?M#g=o%R$qv=)^asnQ+=!UxaH^XwR#IgtT z#=a+RP+;Hf86+E88qj(L$;RcbXfU|)c#c7Vxm8D63^}Z={W6KQe&Zs>rqFYD|CmfH zbm8Y2wJ#pmwDYkixxI&qlspR; zp;mcyY%Ms$r6-7Fvy%gV(@IjV*qjlXRKIC3eI&|;g}%Ysd%-BJXAs6PT{W0?WxOd- z-A)e9Sf`gL+~3=ymfJ$ueJ^6a^>hh{uk*gj{Wt=e-pg`>&G-6A#TcGe(Jd2Z^#_i?>fg6~5sFP0Ygq@`ev>u=CUi_{|83Nc>(%2D1) zuy3rbVdTsVX#mU~+R0;2n}!PWi~>uCudqxz3<{4G7&bXWX0!%|&2>R%LCLYi4j9SA zM#S62D4i0imFIQTRc-v5Od96Ql>kx=Au|S_+xaL?88B!(j=>F~L)-o1Ak=v5;0;zx zISIzO0yCwRwvp`rJmMX!l#*-Mww8={Y)k)=!7$pIX2@97Fgr?>7;W)p%0CLDqmGd{ zKf#d^b2og28~nT^hJ1XSv_r89VN2iB>o*`A;0Ez4i%uX$jXE21%N9DE?y&K5q7L4E; zw`hA!w)!|Xzz1F*En66=`qOqBaKpg&OWqK?EG}K=W9`98 zk95$8^4lMjU)y$q4hT?#-AOxQi`I3kboliRI2|G;SiwzB7p?2|Js)w2hOKGHP!NMR z>~b_?j>Fg_gW=|LA0O&%`Y%Mhqy}Ttcsidd#>MKVq?3@twj(TXJ^XH2dKfzi3{MYP z^Dn*aeilV7L14o0`Ab@VNTu%Y>T1v6NZG3?fD{c@CEd+JJ@l)=+el~ncN4t8h_>x# zJXrX4(3Zt1biN0O*}`*f=0UTQ@qcmpo}}uFwYP8JEv^Q;(XH6*5xh~>l90r=;zDDR3*0MzcoGpus86=di?IcHj=gzj=US99KHs6{eGyWJUSV-%50g&f425_RtRf ztv%7Ac@9t(FmIC5$XXtKKP$Z=kOsV66MRK7OT$6aTPo3`ZS5i!OFX_jqA`Wq)s5g> z3hEeh;>B}F>-UECOPlpQetS#a|L6*|lA3@~STY!IzML_&7 z>f`&z@_OvRQ0z$7iRA~y4w)ndA6t?0vG2|xdF zp@#VG@*Qa#3P;O6lDa2ww>@HnoqL>tYgST6>^HFB1NX|`S# z;SQ!*4c=thq+I$ue_ia1pq-T%@-dyY$LN7n)~H}UPmv5lcn5>5;}OPl_=V{7jpohj zc^%)^*Hh5{Ts< z*Y_iyf}I)tPCRBriC>&@%ySL+qd{Gh+I*kr|GWo#|**jn%>o z>b-VW!ULm>tb_}!g~$^b#Q)Wjg|hFp-#6NwR?LW6>d9Jainoyz2YGC8%&2!JFhg=& z6q$a}oC-4)U=&G%B=R1rz%d&TgvY`ECLAnwR+1`-vqX9& znc;|Z#zu~mmF7Lx%(~{`I5O80j5WSa55u^Z^x&10t}dR#U65DJI2HkIwZA=*CtW6@ zF$hN{9ezl8p(1E^hXVFg`nb+?!meZ90u3seGpfVATYAuV+-x0Qe43cC*t|FF5zkcs z;kWEn6`zli(KaG!s-oyRVrk7saKlY@q-Cb>3_Hb<#NG627W=+#lyMLN0?Efn>`QDB z$t0Vve4HfiQSwiA5Jf>OG+a!}y?>L_<=K{jhvdDsGnv}ikfq@;BoFZu$)Rq>9lHZP zDc0G-=RUvVj5+B~e)zVJ-_U0T%SwH20l;2LaF690-bU-rM}RTcC8BsJSI*)02JOU3 zI%zy(?Ip!e_PqEs4?fZ$V-cZ52nXlV?SwD^>Xr3K0|x?Ss+K#zpO4ljh*yLfi@W1# zU$PWMV_U{>j@b>5qk6aWV;W%%?7a5Rcs%XERQUR|1wT;bq!FPOC)N_YkL1@86Y@;c z)9b&RB9?m=@R{Q|%z@98-7#tdV*c{B1>=ai7XN9rl;orEmEQAlS|I+JVc7gUIosmm za7^;Rvl;-*#}FB8BNqbI5gUy{Uj$<95gM&LBe~}rEV~1sDUY>~F;4=DLt)mBEzgz7 zlcemN@+W-=<2Rm~_hi1_k`g?UBV#Z`;~;ejejoqgIP7*H?gk*65AN}o)=)I2jBbd_ z=m-Gk$tgVm;JjD#*7Za+4E8j0&4PW@8c1LQD z5DC9zD&jE(f9Y%bi{i_l2;&2>-R4EQ{nE!nh0E`qxBh1H!kWUV!d%MntVUe ztexo`>K*mh{VuqXk>57QuI0$LXnsqIz0Kz}CA=uUC3}$G@7^BbS2bZR0-_)EHjnfi zoGtT8d_mb_%uI9+=gGyv{L;;{u19Ok1`uRN!QWEa^}ZcIUf#Vb$XnKYIH}U|gRQhEMEO4QZztaFPwBNP^7h0}zWz>Y+#JM`4iZquYpC_O) zJ_oV4pu>E9rQ>ZRQ@I_fBZ~!>EcBY^a;W{%H+;;Bw8@tSlZFX|qCLo4Y+;V)2)%H1 zt|MX`@;b)q`c6+nes5S+s98r%>|7u5d?bljjlP*EEB;a_J~dEL+ZY*cf~8H9u(LB6 zbs=^O5U|LyU!%BLQXv0ujvoVM5y8|nbZ879 zll74bTG}+$$LBT}hSqAdbW98Q=4h!&2@?K+NNQT%C7usM4;q_0%AW-ZROG`O`%5<~ zV%MOq6mV7o)t(?_Pq)_3VwVq*kT%6JY*C`;$%!VDG^*|p=0 zgf`Tnha*{%s5p{_x{PRizx2HEc+`Z6MPVbw;@E3?G8_yhPXcQ(kWiI+*yHo*>v3>d z2G7Y88#s7Q45p6qrkS02hV&;8GtWD0YUx_f*yX8(a~2EU1ga6Y$F zRU8=sfxBSA;5L!NV&&)Q_{7IM{S~8Y`y^pvyna$N;4H`+!sdTENs$qPE--SIG-DQ> zMAG8*k@%M$BL|$?RltvtKC)rYAES9r&DhGu^$_R#Nxm7s8R#xMh@40#Kq?v^v7Izc zqPXpWkBj60+UpS5TFPvpiHttK^HV~$1JyRYm7wsOOV7Va6PXr)H@CM91V2_LMHPCe@2_s8+eVk4fv_2~$XEz)VWZ%msph&wOPWGfF` z&|)}#dbFmDR}2EWtUn?%STHzgYn(|D*h!m7BuiofN~Du6C-xek&9phhHax4N3{Y?Z z{7iyN+$aD)v$2BZpTw*p*}mkKiqD%l4Y~Ks_BcEZfYU5LMqhya)gB$mwCZ#go3l5Ru<&t_XL=U+7G4F0DR5lM0}n+ak0yTG(&xf6B2l~tE?Um zo{h6;q#sADXW-l9Da2VYa>cPaSkhG;%QGT&vh@k$kG{_&@@C^_d0|-tv7XAcNexh% z8yOm7J7*s6eBWN_kx0RW6M9~9fJmoehAmx|#5bSL!~jHTE47sR+Bb5(zQ2UgN7DMS zsq```B?<#h_R#+v~Zd%Y~92pVVf-6 zVQ9iXU;yptVU6bw3CBTgEnOF)+bu)VgqXKl!iHIU%g7Ea%my_L>ILp_901(8n&z=! zPLyaCjk`{|gU_p>3^6;we6p{3bF5229jSEp)YF95hBN{q6a}W)Oz$KP=!BbODDBJoZ`WkB4u=Z z5BuYK-k&Cp*Xzl+6q>)4yziXCd1%LSf!$_3A_SnIx^TqTu;Z-jFg*a~)UVxm}L>!;Ln~SiQSlXc5KcQ*Ez)_PiM;~=N1dbb`bd|sSgyb?YW>CA zzwO#i1JRnq2t?4E0n3hS!`K8F#`C9ly3A5I+O=})`oAk)Xx zg)x%gVLOjB1_}wuLxX9@28?^@xd=1XHjT0kc_t_zqk9<3t{K?GqlgTJuRfGuXX|UpI0@PjH#rHx9|3#+)zO()XiOn%@PD;n<#^L1J;!nn40U^+1o7no23$ z6z1op-UgE=Z3I#G6B9Bzvh0zj&(r%T&e93L`*By_{4#XlVeLD;0bnYc#k_S368ePN zRDSm}lA3X2@@X>gU>r)Z{dr(tFH=I`_na~@S+)*d=h87c8b_V5$p@8P_xdu&W4h0)5 zOkaasBrPt5bU$n2*F&>78Ei0*-dQgXPE0vqCfCIu&(Jh-2m^~ zX-z_WeebtXd2415j}5oo;K4CXE(9}tJSMb~4%`^eN6C?m>XKN6Z>P)<+jqO6tZ&_=4m|0U^+31hr{e`ZAHRhd%o(1l&I);609Wi_$Alts5jyN zt;3#=Pg3keuXf5s@pz{LZgdg|SdBj)8!EZ=`bbZxX!RC0c=BiN^>FA+_>wzd1HV4W z-XG78LsQ0Dp4X z=3=D!XW^Quo&jT+&iyRbWdEikp3O*JpY0N9{{=q19Y@QckJd%EL{m!oF~giY>3p6JnK6Mw zwg25SvipjoDK!)3x8py}OE4bQ&oo-bRtwd>d>EoLcG`-2{)A$GUc>l|NR;btr2tLa z){Nvb_n`jrviETiq|fUdul2CJS#soZ*WuF)CC--Pa&@tkGdRl6GYL*=ZlbA4of!bb z8P4lG{2O1N@6B?CGyA>p%<<(Nqch!81y&-RhP)lgWh(`rCLShQGs>01PNb8wT4|GB zu(czN_S_oap}uwJkLNXkOtF~Zl1`n#+|k;+;ZQ0JmvkW*YNV$z6h)Cq{?1*W~iDTs}6&wxmp&93n6TyRmhT_VE@F$Yu% z97z87nXtwv3kUvw{@YA4^O$ubS=8d~>*5oK(^x47@#PfZLI?xH{kn`czqGY*Y}#7s zj}(7l?Icu*W+LpNP$8?$_sQqeGDR#0*p6gJ3sD=kB4VXu zzQR-_f6#c)NZHu!`5K(PiAi!8LHi4lpC#J^wn>2J9RbHTzupczb7LtQgkquqxa|pbitkT=Z;b#E8%WPw2;F5R5%A;vGCH0pODz z!J$Ulfgi(&Hi1A^s1oi2C*xa%KooSa`?*;M1X&(=d_j7j9*OiHVr$@{Cc{+a+s9mP z7>Yn3-^GML39??sj6NnS;IRzAu>d=99zdC=t}%IDpR@_(o`O%t(mjc9qzd66HWV)k zu@#)$pu-7yp6dr0wYQ9J8BEX<+QH}a0QqelkJ16`w~t|YB5I`9V-%R-`>0@xh>v_d zn%^(=b2M+17p^oBs?ppC(cE!Q!)VVe>GsaFg9LDNrp*IEGctjXE?4P1PlQ`~Hk&hF zeB%rP+iL@y47zxo{O2*7B_(Yz)LO+CIBJIgLhjGm4iK_b?2$4sH;^9_ z7-XGQ{MeVN$&o+F=o3dVNMseQ7=LmBWnA+0^(6-nmjC+FEfb>c0;X6kDf~Ezm+>f1VNNa}jAf?yqVSS|)G?5O;8Q5>oL<2YR%Zq#jeu@J}?z`#<|@a6Q*I(j`Rn&SDg{UuiRFYTxfgFRcR8J$u5 z%IidlzO7}cIX-t_>N?`ALBWV|QKv@wThrS^)9t6vZ*Rpl)8*KE5JCBG>GS4BMKW#DOq%wWGXlD5v#CX0@J7*HBT6$v<6_Hd{pX3hv!K0}?^BK9l5RQ9j#bPN z#fM3-&Z4Cu;_NB*e2%;60{pgq`rStvcjI4x<4SuwqqL--3gh@Hf&I7_!pIQ#F;XTO zHE-`P6}G4L(eSl+vw}g%O*?PJ`>nn0P4Q_ z)V|Z&UzoN5o4+*zU0pELDhVUw>ezOcT5Qi{dM(jgFul?m$K`MgPTm|YT;#6}dA;1g zksLQZanuK&%kqroF$jar!HIY-Q|AIbuvQR8BiMmCrDr5<7&{q^&yjNuS zS_J8Rfi75g;mrbUmi_p7;xb~*)N4PFJrtowHI?G)lAajxD}w@9dV{D9r=n$#_@I`w ziA3*`4<@u%t6t4~jAnq;$+!pNGCOkk@z*VZ08ERt0qD=u6zp-KKnh(U|QnMfT}dLbd{??n0)1f-kY5~AiF4A)WvL&IDt7hg+FHVhBa)$~1Qe-$R=!x{weI^Xc3qUDK z5`iyTh@2#8E*2T^N4^B}`Fu&g763@{t%HcY0)Rv*D!}0jh@&Q>PZSszmg`Tq0&=8f z9bLG=mLk>P``7~HNU|tjPRDWzAAlV7OK7kFIr4zUbJ(jL)iDNW)C?>TA0);oEM#k4 zoPDeuV2n)i9Q_$H6}5cdH=LM`fEZOB2_dS1ea^d@GR$0FI36=)lvqDN73r=Vsi~)v z{j&!u?-48G+y_K-!PnfeE28i##D)~QGL$2Cxs^d@IRDnlJ(i;rQJQq6iuAEV3DY|X z9AZAN#O(yjGRFWa54;7iQcDX zntKh%{LEa!_gCVC_}u!SC=TR(Tf9Lf(n+K~B3TpY(;{t@VGKQ}{Tz7aMB34H!#1+O z<@bnHI~8Xk!3X+Fgk4ct$vE<{4FV1}Z&QlFUx6iC`-U0}0TI-GvZTbOz2gd~d4zOz zD7H{N#K4?sB3k_&f%aG+RA7iqfy z#wm|@Qoh_qT{!o&<;L^heq$>T)5VC9xMJ=^2?aQQMZl@Y4731z>lbRacE%Q*9NP?v z8FOS0+fF)@IVWl~&s00yuRsg>CMQmx3T9OwqQY*qA1?qxocOZEyfp)WLV;)6z>j+8@+}m$_wyg7(u@Gpal*aRJe!lQsi9K3DG^ zD-;wGzOtW4{|WlLKnfwl&1Tw$qY($gxvs0xK(IX62*>BC;*BL7O4ss8>rlE@po0X-}kA zv7nW$mlI_{D=S%>ZErr*CyQ?x?~`qBM%~AF`TmtXlCWEGMKA!6?@gH4A7xuH2W{G>-ZVG&sB z8*~*H^1q>3_SVVAIr}E7vzt#0&JMnc$Hi$wn|#C|!L-#wHB!GrW1OeHpb74|ckj?A z>jaMeBqnp{`8K8u_pcMJeLyIfQe4^fVa(Y$lT zFQ)4orEq^&bHMJMKc!j z%PDMuuS{61qF09IR~aJ236Z+2-6`OZ9u^#9c(_% zP!XLUd;5(G)D8}b@%)%+b79PbAlog^>%V?RoqJwI zNNN)RMd`~H-o{z8(kqIMUk*kQyFGyAW+&q7B| z9!)h#vqI?orG0swoH$!{-O1vP%{Y_E@v31rfaAqjw&=d?c5$)Zh{U$mdUrC8*5f$I|UzyRBh0u?)K#!E{ZP-x%kC)0=ACgYks_5 z(u(-;g<*35KTniAlr1}minaU4^ZNaBe?&xPThG@3eMscQeP$#0T9YecG#s^E*PZnSVE)oBW!48$k9BHW(uXC8Jhqmc(8U+`bQ9 zmS?3mmvjVRvx{tefGxmYLNQ*~TbuuSrteFQ0h=j8hGYYDzHdmeZd>Rz>pc%!kZAJ! z2q_kbeEWVzCs(&RE#6-)pG9u+xNR`w%iG#H79LVTs#kZUd$&P?$UH}z)r@UR(je9%l9#!m;Px3 zd|!3iM|&LsnKK07d;On~LjkrI0c@OCJ+%`Qivhp)?}_dKe{Xe1oTvS}&>YsVtd^TB z!CE!+9}(M3d5X~q5W8ZpZ)W5ri^50>t(Bf&HGyU+nF`t~Y5FBe`uA2@M7_bS;Sr z(=|B&L_5&t`>AoJyu!yl^uQB|;FdLNT&UW$UMd^Nd zFLu9HglNplxgYx%7`yvj%01DsDUjg0U;n*@QgHa%9HfU;Thb5wnjvaB$LGkx{+VnVq{Ef&~@A1hRT4a78OzymH_AYslX_g zc^P>22>hEi`lxOtm@4`XsITup(b{cn)`V*2cNMwbMJ3W{j74!Ef+;3DI*~DbYl(Rd zY8F}SW17wM=M5Cg1_0NzZ#&W%oFIh5z{s|z{FWO7%MX7Mp1bk$ztc?SWE0lixCG-R;t(dLG${Y#R$wKs}D2#hRL-Frqz|cJR%#sA*P+?jV8Iv89~jw&0heoK=(&|?T&ZB;;NcrE z_`LweQUS4i)@KCjjDrsrPhYF!18hC!B}bDNF#C^WwbHXcBq10)rMQmI!KvV_of-3= z2SKyL!g&uma46JEL9*9OCgl)fVgHnEC@PR}q%FlGt@8f8NSFbP|X`>`)z*erhOyzqy}v`%7+_`Pqi ztZt{*X?RC%STDT*NIk|sf)twz4wKu$GUk~$KyA{nkis^NFY0X=(ujc zN?soc1NKXAjg2q#Kl^k=X&KlbKTp*dwTB-@k(g|CQW0|cGxpn zcbo{YXTDbn*fZ@59Y5+P=QxByB!|(K@tX{=-At9#=|o-Q24sn{tQp`15XMS*v>iT9 zhtXIZ5wuJ)OcXcUyI3M>+57pt#2C@knepZZ-#1j4jh)9UF~%G=1bHsS*ULzCO{gX4 zU0guG951rD!*uf6@?)D>c>{uVvOiM5HjXd8-BuCDmb34=jb*)4z~G?R*br!r4a?%Q zy}__3&O9b-x`Iblus!JYC=9%C-!lluOb?tJC&f6fp>tAujpy+5sFwrgmoE0>h|Th3 zkmlHHVRN*hzDL@QeAH@%TL=fSFr9IbB9%dDV@1LVM4*A#kYItdfjE+v4h&sC!CQUF zeD-k|W?mp*Pdt~gV4sH-GK#N%j8q#IMEy0s?m*eGd4^kuy`rM{=IK-7_0|$a5F^>l zH5zfa_i;!{D%($&f^G6`2svDZv5;Ueyu_xz6peA@U?r6paP;UpLzIp1Sb0^(uIhH3qg`zXZ_6;rW%l`JO?$Bs? z{aO#KmJiADfz|R{C~osVT;eC)%m=u_Tyu)t=^HaLu)vCrUV9?{$&lw;*c=Ybi$--t z?IX?9{H4PY(JGVY^^Z8=$|DAucs|9gKCyVtXBMnj*oVf(cwG26nWkBJV4Ji>vbYQl z#lM)b=dn~zSPCUKMQc*s(WC3ocSu0oQQXxwax7L(3RVa7(drPKF1#R4 zcn94} z*WdkBoZ%&g_ADUN0BkQ`6RlP|U*xV1cNW(RI8lC~qY?Pe0_ zr2{vXbbUH-V%hJ*c^QaK$wMsGeX$xlg5RB*p|LpG;9}Cg>(h7OQDQm-rdQG%;E%#b zL=G^xEdmxMMXggaYGkamN*L}x-@iXr zpXA0o9c~;1&c`4yySrTQmt7I~M5qHKdmL-9fg5KNrCa3Xo)r!!+SB4|dor(>jj)Kz zV8W*>NpYiNJr`meRrNvn$H?|1c3VuR&uT2>Y9BN;rq2hEcj{$=IZ-=wTYe*PV^Fu88$`gv1tfnbFSA%T95PE!@o2Vk5uC~qz|?J+Dv>`jmFRP zFo?}Q!YF7Di}GgnJx10ZEr)%X<~jc&8NuW(2L42lg?JttAgI%>W9R{MTCv&lAdu}P zcKIb$bi{%=HCZb*=g&^U8_u8IOve*nL)^W7fv1|af@cm);TOhzsw08(L>GG?BChAZ9KM z*XH@Dkv<0h&FFXr=#34gHFFekSX)auDGt1d*qiiYzvO;}Q-sW@at4Vrqb0lWVdJ{x z>Nv|=zY-!}|D8ZmzQ>G$VcYJIQ9<9ngvU?~-y|!OH4#7Y_V7)TrH{n)@@)+}C8!(! zqB7~gPaz<+G#Y3eth5gO-f0&g8x_y?9=xEQJI^i+cP_y^OPj!Z<6@I<`)S3&v@w$Bs)#ShKIs z#0g$G{nw~&kB8gf1g+c!*&Oi7Jsj2twr;yt^7HfO8UyRLRlo5)g2PFJ7QIO(hQmpH zF8%<`gSA@BS}~xYiW3)n2=lOBTUT8polNs_xI}!Bs}?vQWRrLtKd@H^y5K3_Gpuzq z7aVBa0OF_*^IYKk5^waR#;;5d!-V1ohjmyqywPJ=ht=Yk+MqV8mwxbo+N?agI;hLq z#T^|`mr1h_12TL@#O4a-vg`12dOA&WKZ9-9k#Cq5tVo?%3CxS_5T@V9C;PzoTc4{H zxW*)h#^i$ew)ip>1;9vhohuIFiWvJJ748(uV)}H`Z}M1*xFJ`y`%ByJAOs7Ll^L5C z%{h6x#%bOEs8CPDYrX?NtPzEx?tq!hf@+U+`j7FkDSt|gGpNbrEEl%4gP0`!4m7CA z=Ce_NnoO~r<8$M%gPQr5OiO8J+RR~GWgsGZCh4fQ1MuQCsy~mQ9A_lUeeC?8DZ5tG z6Fg-6ILdC#C-=rtWE#Jbh~l$n32k(IL^bY zE@$gFiNH%H^AAhFf{`&H_JA>7qL~BoFqXAVfigldlpw=~Q_R`W|%*_|m* zgF?&_a3lf9p&+2rMuzr^=460d_3zx6F!BDe=Q2+SM4WN7k7%uLT3j}u4KrzFkF@nM zam|^RP%3udX*L`V<^*B2NX1xM&X-tNv!vh^6#t+sTnTg zX9d)F+<%355E?DYXb1rzf1DUy#CW*aL25@k;Yg`mJ z@(vuE+#2R^3P!6FK@@Ug!M(X&WhjjQGD55HW~7`I)&JJuHGmy>EBAZurgL&I8ywj4 zjX;cKIu%9BV84Gn#7=l4Uzgqkd;Jr3>Fn|<`QSfnUx26#D@cCkAu@$Wa3o{FhR3h& zz;WAy1zocG#}|%e7ljtY^Vz`F1+igt!X_V-tz7vcz~z z7Lfi;Yj@-;`=>z-@To|Q&4 z&f5rhr@LAF`O8=kH{LMqzoV5v-`H&7Xe?cKY-orRZ(q$A{M{eswFBF~mPw4(p1Gp= z_OjNCy-Qv$twL)#!p3&OyszCeic84O=HQ+T%r==e|4y9Iu>N0j=Lze-46lpDpFg_w zpn05kC}94t7sGR4@85T~gSlVxvNOFB-Sn|MpKCExa6#s|!OxShvPNp!#g%oH>(I;R zDPM%P2o=}(ixE}#`$Cvx8Q|1r}=tCc_K(1 zFMYy+_1{sJ`F_u6Gf_Tv8(MQBwI0Cf0b`?VH6bbiDquTWRF<2`;$w%Xj`bQ?073nu zDe&YGBqVMLu=aa_$M@sLXl1%vmlZ=bG9GPgPB8AvEh4HLo>GxWvftSDj_LF$)rXrf zXG6R_(*-^%%7{OkN#Wc1gVy)jRbaQ*VG-{xuepy;bN^$>iN$BDc0yP=-n+k40w+iz zAK?vw>}7FX{NCCKPPMSBUnuoC8JjVXWe0Y2F}m>Ng#)nglPtihN$z-INY^m^fB(yW z{ICDxKmYIl<3IoPzy0t3`9J>i|N7Ve?EfzRTL1lD|Ih#Vum3sz{r#(y|NbBU?f?Cc z@_h-_S@_M!kP0fowj*s>CL(VmW4?Y^$gsa;XxDxj#WH_ff{*<5aOWpq++|7!U-I^8Db$}f6VD;itb z9akr$QDk`LwZ&#Z&vUWN$e0eNp+C^m3$k&9`?h{wl^#yVU*94aedK`XF z#QE>})^nTHv2p&=^9Iymx6@R<^f#s{Ia$EsUFSDWl^?98437hDzM89SLx#Lqot2U< z``4(cB8-VB{D5p9<=?$>RFXz-Z2r%%e^V8#er&_LBJdP4jBH;T+D)7LubpbvrbFwm znvef$hg$5{tP_6+Zd>=ZfHdzDzYka`qNR+t;VtOYg{|Jq5#oPtmN{*SJ)2pB9=&A!+9!hX%9a^R%t z(|pcNUu2*@PF-l1b>wI?S5ka7c72&Z7^GL zF9F=JA_7LVvoB?M_Pb|PLgxa47Fw(LuuNDm>mCg+Nk?WU5EDip3y)e>|P%k71+eIw;y5gG{a75JLW>J|mu|#9n zN2#gv(Ffk2CPxpdYgwZf)2#GYqF~r7z*p6z+c(G9PXG$gr zPc2SxjYTtm)lmA%ku1T)AcHbP!~~aihvVP!(4im##WuGeSK6l=!A5qw6P>M$t=quj zKZfSo{DI1_t#PrAaY;gy(I|&}Y6K*F&UlT?aG1o+W&@|Mh0UJdh0Kml(~?k>9J6Mt zm60b7_q-vZ_uo|2B*}YyNa4SX2anHIETdzWe)`HA0?*$e@B81h;7&UXR?vYAmAJg? zD3U=7&hw$GXUY7-Eo`I%4ma8X8Q|XRkYUr9esSpJqC}oa&}?fXWs%b+q0#ihuz z89sLXDRY{bc5n{NFPU1R7l@}$F=O%l;W+cooLQgDl^eA-H?_H%}$R z6OZw&oZQO_?WJZzr9C*YnDJW4wc_ z1{N+l#StpC|QldGl)}X%;~~^w7I!r3bU40 zH8no2cQ_)>tD;3ldPS*ka4^tKf(JK@8~UrP#Qfe8LU%YLy%Gux5Nkaug772c5NZ;` z3?XgRQAP&v=Aj60K)ZNEdVSK*6#YrylNB47D>iiZ`w<{^A`%xDJ=FE>I?*CybDOS8 z+Q)%=EcElTTX}Ze815XeV^pIq{LsC~Bm)F_?V3 z(+5>+52g2(WfWHW;Gns>_1PY_#G;we9= zIsUP=6}WsH?!mE^OE`6ynMmL4#3nUnn21Xw24nZ2fIr!iM)XY~{R}dOcJ{#mN+9m~ zSZ&*hGS(L|#znBYU%G#4`L~r(HMeSES9;S9`+aQZ<=R*8Q*`F7q7>5JpiCx7Z-)P< z413+{pA4;;KH2KQRaZ#QhK&CBjUb(5s+%1j8C^!BJGM5qvQ>nUSpkm4Z?}ux)c8{_ zv6||ab{LeyR?Sq6u@Md>y`A=bnrkQ=bKap|sjw}4VWkmyvIJYSW@U@udn2iY>6P0k zJGIiazOl_K@2PC_w%t5zxyb1M3~e2HV;EhsG?sfxmam1=ZZ9hhRSV8P!+Y3Lc$H4h zRsCZbts#Z5*drZN(Q-f2!sTH#$BOrl4M8B7QJ?OHqmJ%_E>h%$R<~ z*8=w*M-OC2>nBm*o*hK9)->YjA~@GsGw-K^&6q?V-AYwa$q1N+S- ze?ms_rH=Ctu0MUIdbz-xNB7;K3_D(L?!NHv;jCyZpp+ezn ztkn*9{C;P^27bPi6@+^hoO5)GRDq(&@=dDLZQ#LR8@Iil`cjR{mvWxk!DgvS)CyZA zls=BxE@7n}U#T~D%9`r7t^aXy?`200{mP^yFYWq|Dh<4l5Ddz(&vWQ*3TP_%|9Fx3 zWo+wDBUuuYbC@nNLQyAD;Qk}`g2{BFPoMRvC0u?4(NrD99=A04lot2Bd2bR01eW#O zmELN9+_90?{}@~En`CxOWo%kaKW>phN=c#NV?!IGbN*(ohNk%bieL2QDm&BLhDP2vOZezq+FfM8%TT&wwqm4qnR{UHQA)aLdZkNO*_vL-&3*B& z4KqfLrh0bvo{fi!j@{#V5KcVp-ggS@sES6-2@N}{SROSu=8%9>mfqNsnVQ-@j}~s# zZ(NDPvE>;EpHgD>KgbLhzAM?3GmYh9RO9Nnqa_V_Sk zq~{A;3Zh8e<)%t;tPU;kp22J;W%8cJqRm2Uef(RH?nZA{rpFud2^m{wDot7i%W7)&m<9?rAx5W_62do2a9-dbjCW;hh8Mx)6qOFIwj#QQOZ7TAe3L76NsCLbAT zHf90fnK{o^*SlTH1K^B|49CqS9-c;8SH9nnfj)CBD+5>Q2j)^b`4X_U`NFo9m`a7xZ@?E`nBYb9n4?M; zp9*#^7Kx*1UOXjoI?rJKF4#dOd2xqE21V}1nHe5CEHez91%}T;Wa8jIhUrscdo&zI zNy)~XdUmz3Hl&PZ6E63Q(L@HkDff<+iVFVY(WDQ?L9Lv;8%D=Qzm>9#^v>40gh!5e z6DS+QBd49`vIv(PF;sM>WzQ&Gb(r9F`2!2bhduA6oaG!DBMI$`GIEP&n+!*w61%{P zNvWz)tc4jAvK`ErqQv2Xff-ZqgQYK~toF3q{4%a!rZTLUQxTvb>dz$r zhEMOL9Nbkojff&D!(j(J1wb3bBSh)>w}x#BLQQ}pt?#F9BREmJBGNDs(A3{PEe(Hc z02~P(V_^YJXq}JbFh46&wN=5UX`PPVSX!cu-JT3z26c8+GK(>?>gJSRG`h(zio_49 z(SKstl zfkKH|rC(sq(Iy-twS`Kzd8fd7<8X*962@|>`Sr{8#hU942;|>0ePNuDjg2SJHXj@J zNH|<*ACKfQ^#R4eFmLEe7d5~Tp>8x~Bn9wMMopN&W`@{^CKo!e{^HX13&%$TZ*{=; z8^l$Z;k{okw5~ z>vsw9t)~vYQLA)4MC#N4Q*$5aY(?{V6q`*2x|$ZPre^n&loQHG_RLrv75rB1F;&*! zosjI?BBNEyJxn&?M0h4uTurG%Eo(DlTg@25SueQ+A>Fn0;)^@W?9KWKrH51~L+@YL z#l?(m8_;2$ppBVV>Zx&grOGg_4i$IT#UH>rMj|W@TM2K;aaBDvcqbn4bHzn<-rcP> zM^5raP;oC6UBJgeXR_&QVg#O7dUBSUwsoFkH6kVme;DcYrP~A3)od<C=V_rk%We=${`EXk#d&S`bb+l$A1yRhf(F z=4OOsQX~99x!gL)0Zr^>9zf3d=X_7ay%eo>Es`$x3(TFujNvdwLE49$r8zy>9U!FT zsTtP#ircZYEr)Zq!y$uzx+|mG@LTw2ab=cOkkVNNj+z}})2jA(!mw(u5|b%WR$QP3 zZ>sEnGRJGec7T$|DYZ=Z0(BOgwbKT z85qN);hHMW0NkR{|4ENhzAN4A*uGi7%06{vOaUc6&APRWtK+HAGc4Pf98AzCd{>I9 z-JxU$kGpQw7>!^R;Une)wW#1DnbP00BYVo$p^3OnlcgyD`b5DGSi&iq%B|>)mf=|R zMxyU|Oa%D*Vl98^tz*0C_nrg{6^<6DN~kXC+-?C67czV4jb>c$V!9g$%&rpbP4Qtc zBfEB(J{dKTogKw6h{7*^n-qoA;THr?CT^^T4&ag4J##5z5*>Sd<=)G9y_I}UoEl5g>N*Y+th-V%$3~Z z13oU5AXflXHxIEpGRDKRg!Gi%t#ZqPGG||UOJrP1??`taJyS2>zABdr7SZi&r6M~u zyB5bQ6feTA7B+KuEH#gY9ol&ujNxu9XIP2Fy$G5a6Fjj|WY@wPWO~}ci@WHUi3rtm z(Ff4o<(E!MHC8y&KVa*FqqAVB*Mgg4$+1o0NG`w#yM@?q+7bD~)}PoP$QV*&Qp-^R zK&R?tYMKR+s|*pUc-sW2;obIarF=J%%a!-r3XJ;Fsl+0HQakVD+(u?iZvRmE=-kqx zO2LPQdDCvLo5PFcM0jCEU7``a(#`Fp<7h6 z61a7#6*&~p@N}X6SO5_?II{J^HrksT(!5b1xjO^3&fR4(>A0H2Uev&>3kSm@t2LL0 zvwK2x5xu&~Frf*jJ230#vUMTD<^VM+9Y-jI&Sp2K#klMnGD|@C8LMTEFAbo%52y6%J zn$q&W;MM{?m*sc1dM5uO_vM*{nfiUxF1DI6H--#LT(+Zr8cPHL8jq9+T)hyBJc{SC z7lS$xcpjY|96GR|5xuX)1&h5d|7>QO>@?U=gNZ6!lYe_jtD*2xBRq2}BV(+(Os_Ys zzo6P3j|4FHF~E(3aqJ2woy0u(Kh!tytIbCygU^6DZjkCylo489;XxpTi{GCaO;O9^ ztaOfGnzQ67~rI%15T zCx2H}6+4_3Yyhm#DRNDIJOx)VcwI{lN=6DXegW86;e+%>PiA_yv-n6NFrDS}R`3ee0CMl&><<30KxxN;3w3igzv1yIs@J2sNXU&A#& zIbVFddBL^9T0Fhc%&O=&y8an=Vg%BXK)`)*8MR16P+iNjlW@2SZw%SOSmNrgv+D)p z-&DoQ_%A$_z?bz9a{|Ov{%pM~*>$K^uWMf)K)o?^ziygZoAKXr*8|6vtN~k}*o;nL zX+6|-9NyE+v(6HZ+57#$_;W}F(H3P%ULnJ&gjIB994|Wlu>IL4$6pLD6KQg}|L-Kk z)BC2>UwYrOkml98gFCW4KNu0SMD5G5+of7%N(EBH(7I$r$mquBR%K|Dqbad&o7|@B zz-?N0c79RqDoS~4R|Cz|FR)H>rt-2JUMu?%E5HR7&2BtAVfJW`)*#FtJUdxqOOGCB zWK=4OPayx26w;X<=DglKJ7ETqQwC2MIJJ1|U_ZLg11dxI#XeK5SCdZ($@D*-j)0m>c&dsi@r!&X-)q% zt!AU30#+`mI@OP5^NTv3fDg7Z8A6uk#IDA0^KW4vN!paUx3%GX``AfBojy6mG;9$) zN0t}%;TWFR^-1DGJfg*!N_F3A-S z7m!@ZYnt-cNfNxFo(+fpc00$EMyB$D3NEVo7;P&8O$i>w(VBMs)#xQP9WPC1?$;T= zh6j&~f=nmJDK8`8v7=p@Z)|gaNQ^(*k%hWOYA1mY4=|Vo1)WyE&X*xqSq3C(np{~# z;xo|7_8|rZZwj%aHn21aOBz$JftE?2=E^r}k|h?FQL8?w@xK~4mxNE%7wJJYnO;UM zDy^Xlwpn0m9b9U&3I6|!^>u4@i<;Qe+{gMMhViaaV(vGPC5GhnIDj zPjG4^x9sV`tBiEZ*b@9;k95vu$AXhU_c&%8pRp|R*zy@MW|5)8i=f*EpDn5Q^n3`I zMz67kpgc0HeQd;UvpVf692&g19P_O(%eivvrT-E2&QQ8yWg>v7OEK zSn3TM96i>}y24_ZXCW#xN!D+SMuwF+wxT^KL*|&Nb zs#xkYO)j088!W}5i91YZXrYk%8z9Zk#jU||OnfatDGiq6cjs*pa)9EnWvC`?fIQ1viXXtY{Cn0j47Q3=!TAV-t$=ZQLE#mx5out?63|*- zOgVGVHrK*JE5C5gwXo3gh>n>9%(FC%+<$vA>d-T;^+(KRq2tpDTnoE0$`kw->6+?S z9-!TUZkNV0-3_+-I_yM3&|ZV_RHg!^=l9QbQ)%6z$X3s1(#SF?_s*jqYOarn*#kF= z@6UCm^%SwIe(*BW6NT`GFbpziajy5}KG09E!I)|%L#CIZDlSv2MF&%Ws&(1m3p?)) zn%FRvo~ylWAkMN^G+VLfd%b9YVGA|I4G6|mZniugVNB)G#e)g9RL8+&72qtPLXwAe zM0j9{{CU3KYpvbD*G(lF@lgi51@)sgJiTGk#7{N&XA^GT#wW?M@m#u=SHip-n7Qf| zpj*U|c$_?1gp#1h)R=ZCiCOf*(t>3pVTm1ATyC(#KGc#8c37!acuGYyiT#{XLCdAn z!8zS=3pYh5*k;8wwU~BLNIDlbm}cAEMn>_(oqGS$RdQDtDT;DnYT~^3HzE!Ng&Y3g zQN>`HFC1IPxL8KAUT{{1Ay(248`aV^-*5a;@HCiRrNU;FkY*+4s~_F*7`bH(M>3+9 zN*fNWNh@pvJYJez)&S7(dZszx@Q-^>&46oU2)W{nxOBl_**LvQCs3HEX z!73}wyC$Il^Yn>mN%JKUFRZQ(uE@VTJy05kInDXPDyAXYtYF&lg8-#A?!Ki)u4)%f z?(ZfglWuZXf%S6$b zwx4=eI%DQFePDGF0j6y#(otTKra8JN$A1=+y|9sB8k27oH!i^V=Ofwy#XleAPYa^4 z@$Ant0cYCkV6&Aum51Z3c21St3Y%?zeldu~j4D?Vj!8isdxME~$XiuKWXKR6O&}WM zRArG;BHH%SW^57^6ZprbVg^VV(}HR2i-r@a-oP~`Qws;9S0nZ~Sp5dlR)z!PERFB@ ztQq4fhtYLB5<6_JTyd4n1XELcKs*iZ0_7bF*kEOD=*+OabLa)f3*qDq-+}p5nSL}y zX&45iyyh2%XUwBFh82EXQt&OP_A6u0aYwi;A`M2?hy1m{$f|I_lty4=)s=~B4z2|{ zY4n2Qm+CG9qbtEPbXREMYB0|`E4H!jT-YSGGi)^yFO7nXtlT*fef>J;TIW+g|_RQmd5vP@j? zKl(y(CIxNV)RjOvEB$x}Gm^)XeTO~s$PPZ4Q4Nlix@$Rlz@RJy3#Y*3MP&?6F1=u_ z&Q<|S)0ZA44H1B}0}Z{AY6KP8>@1_LGmN0(1mu7L1Am^~U^Ppw+>>Awb>t6a*b9a0 z3>HwT;$5dMZG)>U45H6X9b|H%9aGx(#HoMSTe8G3-AyLJ%>==S%0s!(R+n0b5Q7GD zX@B-r@Ju-zTV+O)e=B|TF9^VF$Hrq?URp$BkfTy#Mzy|$!vKACCFrexD#P0O&E&Mx z6_p1OlR>r@wxXS67~~s}_|79FLWM0yWNujq)KEkOFxaqe;B?_=oo@RLr}yu-IdZ5z zfbFY1J15Am#(P?xA!I|Lpa?yAq=^k{a9nvp79+z!kn{tF2%YF=*Ptc0SfLE_-qKII zo#ek!x90qN=MFBc_udZYm?}g(M{gNNO^N!f=J-4s-epE*_jB2emD20UI4zUQ9OPK# z^*L+^1fhu%$(@uV+?f#xqCSL#4WS_Fb6Yt(8TB-nTa@IZsK_mbJwhYfIp1qiXra4b z?^HbYlXrD*IWf(OY-Rg++Alzas^A3}N zC}^9$*ml>9p8qng!FokTNdsD}p#GJbj(f_;xEF)%Lagd`|3`<}L1*}6p*6h$JKG^J zUJ=PiN2mumM9-r_QXT&38?W7^bcREUyVWnlL3NfI*35}U{^DPTDapF}(yGsBy^tI2 z;`m^rZFi^bUrTCRddm0jx);P^{$$%>q&;mM%hewTr4HN9>Q|N2;nzmDTfeZS?I?g4 zAI+mWlT$Zz4$`Q4ZG8-#NBi;Lwn^c zDsecPiPAGY_6{?|_f+E)`K5guC7*PM)k$iVxHNar238@sIoV-{GTQ{dNx~oM;yTPu zCgf%{CGT9^lY(oIvy%YB4k|%eP+3MTsrY1Hf?oJBi1nh7two_JIxJ73eo&d_Fm@Ws z)bCy#dWpza5NmnH7syGEbq)Zx`|VH(m`T(!R#FrcH=6;IvDK4 zHL0`}dM(7-UjMRS|JLO+pn=OF*y1RCjJQR2(8blq7S(IDZkwwbMnu~3xa>jwCd32l zz=3q+al$Y9OqV#;(T|P?@^17RT8?zp>!4|qV8#_zM{+2z1jwi+G2t6iJkIpN>UG(r zid=9#NY&1jFnchZJsz;Vru0X5(_Zr?&z|n(;pWKv_DuPTD&6yZi7G)HRyawi_y6Ub z7c$wKwPl3GbkKlNhaZx42glc_&-u}+4_b2Qz}omH zphSFqpgXjP22?U_nONfjM-gsPOqpnoTrwSQBKw&gP#`*#!DdF9JC`yNQqF}j^OnhZ z4<8QQ=P4UNL8#^JFY;I}dc)uY!Yn$}ebv-Re8n^a+{NI_@VF%P2ooT`jz}+EH;8ch zrMm;rat8@Ue|c@Q=i91MZKQAtP=@-kmm?|iZ*BXZtH^D>63z%{qtpeZXQCaV6N1uP zv((q;NaAck=!Lj4BUwuFg%)NslTC7ZJSqjga0483-&;eT{JMAmP%Unmt&Bxt47*qK z2t?c;v(c#V{JxGOqdM?AgO2^uSl!v~U;3n9ejLXG+=KH`V*WCGrpI17Ks`7gDvV!7 z|L4(s|I)_D#H{?KQ{{YA!p^Ybg_Rad^IK(<1d3E;G^_s9tm5;U@xTW738$3I%9z|% zjAPVf<%oo;rlwOSj#^}_r|y1%VL zPX_r>E1K`ybif-eN!4h>93U|ieHzp^S*?Qb6-A00E#rT5 z{rQNxN+5x}aq?V|9Bb z4Siv>JlO{aI2sJz>C6GLX5navt}a zUxqv)c<2lOb$myP61(JlUH^V*6QRUzJV>{|V~KwZKpZOShhJH$gEI#K>x8e0vvEYg zI!aH4MN}({C?t-a_HKPqmjja=W23={300hFWDi z5VOwq8&;Cu$%VTX;5+5d4_YMy2D6q`|HMrgfbR$}s~3FaH9dFmL~bUXMsCAqM!(Bk zGx3Rq!AAWSep8r^#Xk~YW@;Xb-no8@+=GJ3K>B}{Yj!!Rf(Fnw4lJ(>`I>&Kk2 zPNz*egyJz2$=2j%ks-iys5=J0GD78sXg)@U*diCu06OM9dw_;%&;4)&_{9gSa!iI$ z^ofMl!E-iP3FLAW=~^s=u*&NF=jeH3KY76%K)TqiR2jbtj+8~r$U7+)6<7+6FavC3 zHTbZp(&o5R+QUFPAm`=Kxr_k6h!v4(Te^5o2iE1`F&Kcl%;$dv7o_ZM$}nWdJ?&Rn z$}%&koi;gORit0#_6}@{18A}DU_oL>8apzM!6_VzX^wcB=La|gBy4d>L<~AbUKsku zASya(jA7SbdfpAt25_n|;Lr&6M!K76R)p)yw{0_^8Mf+?~*EL#Iik18q zb2iP=d^_am&7c(FAJ7|utvPAJInE1Q7ahNy1yrLoIX$OBePLy?W6H8dOCvqC%j;i}2$98GM8JZB6 zC5#6I02NXvaxcJ*RIr&y28S1yAX{*>v+7?Q`+LS3o)Lpwj#kX5#thGo8O=e%N+f$T zoO3JVNYHMvX-@c>5G4{VoS!3V@_3oBe;nPgdSqlk`?!oFO#zj2}Mcd1U0 z>GLcfN_UTRXWC!@`iae!hDT2N8TVHf$&rMH%mJFC7p>Ts&&Yi<$n(E(ckN$}H#SnL z&QPP(D|Ae7=W8v|1~^+azKhcTZ1#AfTf+=`{fF#*;$W1SEF{=D9R8aGk245~AGd}% zM#kidb^=d%?zuRzhhLtNi5**E`93|DZm#p6$A*TtJWUA&!tU0k=i_~v1O><+ejern-^PaL3`?Ze$PZ>rUGs5Pa z#bS9;x+mmgFk?D~98cyM=$Aw_QDB0k`z8l zABpyi)G^`8ulsaShTTEv<1pdNFUSX%&>E=@=kYbeyZ^DlOt|+e#3LsHy!i%;{h6f2*V5TQNy(VV(*$cwQDvl8x zap=z9zLgNy&J15FxvB0iLsT`U9jR&XuSXokD@gqWon#JUvL~4gYmAr~kE8cQNJJ^6 zI_s$854hr&VL%k85uC@@^K*8a4pPsgcNWq{&G7PmWQ_^0Zbyw^3Bzdfk2S)W{{HR= zb|_TPWJaR8^g^m=_Dz^15#hrT$bouWhK?+k6eD=!u@hY&aP zyqIw07BQH{0*qMV+tW8|7@nZcD)fY9%n7&ZDuo=oza1WDR`%{8Y~VcEX0rQK?=jmv zMUDw?>-yNSei;tUe+u&2$gUZELV z2=pcf6YAqvY4&=K*|Ul?FGaE97NWFCDEHfwes-T{4(6F*bIK@`37)U zCFM|}-+vj^a-b?%<3;NJ(le>r_{DKZDq8p!LYGO=#xITqLjs6bL@wh765GK-pfZOa z>dg3SkXf+mO5%=9?3Z!0rWhCGcM_X(Tj`p_E78nqC_91AtK~F|+sg`RNZu!f86$jRVzgkZ~-(Wxbv{1*X3*G*HJaHFDpT|`UEpR@IAfvF(VWi?# zKSsuLS3l$o_=yr|wORjpj;YmVGAFZ{a~QJ466dt9JF84Lbp4Is-KP?VBeh(?UPfDDl;>yXRmT%N$Z5Y>1 zZ&tie5L%%N=Pha~W77Qrf+f4r#h11C|9f)lX$KA$RGErnWZ;7O!t)ngP#rjzEgemh zYN(QokW4)J3SG9GuQ)g$_d=0#h?~PblrO+e)6;i(4crl>+TxHyH>+D@3{HA3(lD?_`RhEn!gGb5@|vuijqqgH4}*&)z=!MQ{lJ5Jq*TOnjBe+b-5_(SL#wSwf24w~HAXC5C^ zKrXQSQ3e}TZ|wBI;~U$N7dOk?R-SWrg0qRXT|IZK5mgDq3hy{Pv8IV@=;ys65(b4B z_KRG6HsmZgj>sI^*`kwSjw{n<2=w!G=bFkm8MZO1T#9CG)y4uI;Pud5a3xv&nKSSu zVVdIvM-g!hg-&U$a#@P_MTX+!jta`UEjSp9sFs_!YFAB8D19(8W|}@QryYMUJUp~D zu?fGM1bN12hg+-Wor{xfwG1}N6&l_d_J35)OkDSbb2@=Pswa7a}0G^LB5@CaNM2r1+*T!W{GRM_>Aapbwv;MObj zIDZeK9GpiaSs9?F>V+g5*T?|jB}y*tHK4R(Pnqhbw!ljr$O#fr1Y^HR2PWXjm z9E9e?`pmkmkw_v>ZT_IV<32%&B(Bi}aB(9C2cFb)M_*Xe+*oP4r;^cbffP?ah#TZu z+dO-$1Ga#p?Tmx9YsL`dC))~7?wBi)Y=lLuwT+&Z1Ob*jUVyl)*Oq{wr=Db$Z9I;a zCOK<`2bz##5vDK#?c&4zF7a8i$u>?3ZCCUwv`oB(erD%*dCoGs7o~3Mi&tYE>_EQy^@nr~OQs zTn3FbJ-4F;gG~N1k{5#anjp|y+U(fOnmYTgSE^}Cczi+cA*~Z91UU4Xz$EHPUA}ty z8-q!PUO4J1ms7Cl$sWwUB%F;=T~_Ey9undOZOP+kzjo@)wNLB};ijIA8&i+NGc31K zgbaSW2RXbzaAy`Zj>VV;X}AcZH1T|w;V^UY2X}-6mo;KV#+vP-fE z6aBPHVnnHq`ep32Zs?8k-dK0U5!YYg04gGasMj{2(mX(V)e9{_E|ZlUbNJJ8uyI?L zVTqLZUTp|BCf!D7gfvJrP&$O64!Jw{xsHelcN!Ln|| z9e<-1ZiE@PP_A#1r<3u^b|@LtS2ny_8Aycn4lsFtYyrDgqn)bCxcm=%AzWU0t(0; z0X87^T%%pj9f+@L?2hdclWjcZ<#gNt-3v;g#c(dlqp};vp@u%CZPg@Fa7T>r$ArCG z((_QaxFc%#CmKKHH0%Ajr3G~N-JOBeEzdNC?UP5q=*qAen?%GLwomRAjiUi9uWVRx z|J#T)ZoM2^`r8}?Y^ZEkF*OF4I4=c6w`&qqAg3YO54@8Xn28ZRMEMH?s*mg)OnO!>A1Mt#SbYBjlHlWoNK-^RQ=*@ z{2LZIi< zcyskYktqZ^Wz?YG>*XDwW;85WU$^nJC^c3TVuEqS@i~OWXg4F3?O+stoK<&3JuOd9 za3j(!oPEays6Mdwjq8paBl!ggiXUjqFQa=VvJP$ohB$5zgtJ@xA+YiC7qSz$**J&- zYiJIM@Zuer=iq3Qj)|4u?X%;?}X(PYu3S_Zt9wh;E2%Bg?^??a zv!A}n@Q0Nh-DK)13S_&%z5S;jrru_B-o1AM1=z2h&h{=~`qJ0g2=7H}DD8{9q@{>T zYjXuV@{=3RzW3}6qq1rK^oDggTG=~^7?d1lUgGN5Y2Toc?3a3kUylUp}fz*P%Z_W8W8hJI+nwtXIMxnD*Cruokhg4fV`7ExZp+8x$z z3JJwI#@}5@&ti?u} zV~Lyu2hQr}u8jj{^*aA#*nnR+Om$iH%{JAOzWaQkdFP=|_$h(0?f2|BC3(qJNAng) zwCaJYy384@q}{tS)26*`>_tzv(9Sx46UL}r4va{DJY!DjLTV4S(s74}2Fd~A>78?c z&k$AMVxz~G#B*%asE+o72O1s_xAVWvJrreMnuj_vgxyvu5r{g2B#(DQfrjuk* z!!)-qH&b66-#hfiav;L3ZZ5-~HaoGpbr4;XGHr>Qy;w7Y*eS!tlFB+j-$p;Y&Vkqu zT^I*{FQY5i&TV4{ac!rVj&1Y(BgpGujVD8JtlrZD4TRh2Ofcs=@LIb87Klz>`Ec8JaN@#^FAQs2ANfl`SJqv^Rk zPbp9S(#KHK!56|WP3IwB$pv1O?j~ks6*a>ra1ug2BqaxT#^4$#_t-fg8(^eVDuhok zmPbwvEEpYUcot0n`5VHY?`TaKQ5BD9GhMMZEvUG}L8Wi( z_N6~N%}sGMgD;7gnz4M-I$9_{0e3za;9rLLd#H3c(0K70rDcK$<=<6*A85R$NW?f` zxLVgofpVbp>d$(vX`cJkv1NKGB4LlUVh%C<%P0yH-!-AOIT<=9$4&w@^$eVmLOSV< zW1S{TIClN5Y{W4;<6r@f_&_?JbJb)LF`y=Eq5#ty)BMqg_Y|%w8SjKi4bqhM9p@LRO zQaHz|wN&_0kZ2YHG)-DF`iaK~C^8)3SuY4?v?)EcX4{zx5N)D2kk*$Ftb|$oWK8QK zxZ46EW?V6wGz`Nh?&vgJ4hvbAwjX}&RPT7^fsX!tmq z)A%QebwHBIwT63RTXs`w`a?_8fQEw8yv7JvIPf`F#7@q%CXy`QQ%``=G~W8;kk9l^ zgIyeQlO4f1E_C_P8}{zz`3CjVeD+&-Br6PD+^-Kp2Ut_eH!|*V+=dUliH-RUeaHd$ zNe&)-WBV>3$*k{Yy$u%;$mw+jXQkn{9{-t1nK$Vyd%D3jgkqd_n2gnlOUnMv;>u480 z%Jec9xju0GyruV#`IurbXE#imw`4%2bSXMaUp6_t;E0#p_SbM^!Ol$wIHw|$u|65L zrjYFFgzwIL3z^BU!&$IqdaF_LSu-Pob7}%aByE0lEP`Hg-E$HEy(3A82T;Iwy$Gu~@@N0I&^@W=@hV(|3{A{ee4Adpr})zN&HV1MuGw*C~aNUE~Sc zIVYgmm5GuE@%7h{B)*Nxi`b99i_qu^_vp+RW}d(ah79YFa5N(g;r^u~W&;P>UT_aXFH$Z$}r!}5v+;h2WVSPzi!myTcoI)hne&A&MpGnNg& ziz8F&Ht8eZz$H?AG-`Nr_?@YAMoKuWrRBB$Q^v{wR7@Yo)~+m~n^7~ge8@1eAqXFS z8RNBZ{nFq>Uyh5i(h_mfzJuS8R?~Xcy#A%Z4^{G9A6q ziw>p6miJ_q``C_4ez93eU-_4!Va>la^eDgdlJ+;^Fd^O2P}e$htj?Qk7G&%xp-pdW z(^6FKKM=ANskcN+VKlZHn)U7*NLO!E2lru;Y`B%@5;BH)lv#ytcabtGb^F~eRz+Mj!Bx5CFC8RoIz`UOvuG^9*cZ~vQV$Dyf<>2zjN ztJ|{Q4?rfHT+G$VL|xGznn4G`ws8#cVC*>NM&EweGhMvSf(JoV<$ z3$harwtA!o2rCSv9ydb1UyFG~{DC9FY^8g~;;qaWW^|M2FzU23getM4%HftYssj>k z{xJ{@t<;*=Z=@Ru8`X@8>HOZoD-Y*3ScrrMQm>oC265L6vIXhcRYDFVC)H@C2?=l- zGE9Za<&mMWnfL^zbqjwJeYJajgT+X`IYXbf^o?Q*BI0*T?ICh96xmcQ)6^xJF5Ms( z{q1gGJx|8usjTev_{`tZ*(#5#4mDi09oL9y<1sj+heW_&r9m=pk34&D%@)9212Fr>VuJy6(+o&;uLj>oi#%N7h7I+LHUe|d4 z{7Q8K53aa~GlN^w@NS|txQiX(RN_{+(WN$T+xRq@w^h*^_3c~u(Cpqe2yh>b@Lnu(Pn8Ob^KsEc=ptvUsXld#6aYeIy0;Y`s7M|PCMQv(rQ>ScLH25iVR)p*FU zL(b&Bes&U^cV%po@D}zABIsq&LWVuh)bR9l-dis?3euv;c|a7f-nA9*M@>l%=()UE zdgWL<7$Q#jzAxc;hZ#TNg92V~Js>B;tm~8QmB53!Adrh=L!j{`;&8A0ZKa6i^rLqX zGGLpK?8S`bC<02qx0$JRx3?;gGBm z4;dLVA>5rA8Ehp)-%`@Wfw!AdOoDJ&M-{nDRU2wXXsql-bvU`k8fr5>mB|b_I8>m) z3E{Sd3|T06mn?v*h!=mqbXD8R|395^>pLN&H9f+@36w@=zvSJ790%nxYrxg zY>2AEEDoO6%h$*N0U#r-e5!Tnw(D8Ctu_CcOhoGNZbv z*IN#g0df4L6T6}%a2%hR$9E}ahzmyuq|KW;wbakdAi>e2dI=dgtKk8q>-f?eAPnS= z8{$-{UqT-`)0>9N+>_w*)Y|iRYROoqRd4vd!IcpXOTs%BW)w%_I!x#7n_FYXt=N@S zG~?Aime^|Y8nVQut6%5nhTqXecOt|5VbpV#a6FPcznHPTgR6*>@r3w7H_%UwOcXH} z5?qhOo>cU~dSY@TeH;*-@_7N|Lz@cUK(tQXitof7RL$jWf0WLHBQfvG&it)2LDu6kV z-JG)x4ltT29Kv7=yl7Zt9LE@=BvRncq8~e%uAyR*6%HA?msLHt4UT&30+fOgGEDFP zQs7ZXx&6U&<ntMw!sQZXrKeMm-KX#61n#R*DFe*Pve2 zC2}$iAcXD#ojLOj#fFS!2Far`(wV&Llat|4`AIi@JlAAT{#`1*O3>avih%;{X@9gE z1>8VQUN~y{upyh_EQ^&3g7W8K#d~dhGhqm9~@ErkEaVKqAXptOZUKkM-`CAq7;|WH`CnIm^dq`re34 zhYTC`d3P@W()993LgOcr^!+TI@kxg?Rf6Gm>IgW9 z>0!DUZUE5R`U26I(X0nM`~+7F>8%PgJjrz&j=KLGGtkOjkI9PYCXQ;vc`=M`Z(Hdp zSE!|qx1=iL-Wc@nc68+{zbUP-o~*QYhoEAazX@zFdSztLnxzs%(a_ZFzLN!!l|rh~ zIj`{_)ij74iec5OW;`^TI?9x`i;Kn%HhxL2ykdac-PclP06i)JkKbH&tNAI%oTZx! z9=b?nXuN>+6u4L!$;d+i4J^KY#_PAm%4n_uJ=!w{@7JkI)J=07QOZni$-|MmB?!#V zp5U6?;9S2zm|wbdgGHl>2!5qqpXVilU#UdCfNApT9RR%<&&-^T*4HT=BCwTs_*g(* z2q{L)Ze7RZRR&@0qtA`o5opNk_do?oM8;CL*{fmZsm*CM4O8Z3gs}8mMv2Od>R5+V zzm*v%WsY@MPJeB&1#IV{TA^qNHgj19RVyZm!ZPxcH9a+XDW5B28}iyU^WL|)=Yhtn zp648%+df1^>HVU^D;P|5lc?M*K=dWV0!5N}Y`CLN6x5-)ohT#G8q~`~ka+Hb++Tv+ zt310LsJkd24qlQ#-6g!5UU0PO%|8z+FLmwH8|gsE)xUxQ{9G$VN!f`fGuXd)=jm0? zji;7iyOQvY+FKBc>JY7JS8+2wm*IfzXR8)WCrMB7XID+3oRa~hVyadzfauCnhA3_L4!53g zHs?Xcq#cd<|F;iD+AhH*qU~?QuYzm2+4d?kl8~15HSd=^2*IIsNfVIv#?Sg%x`y%f z?vS#B*N5HB+Qkdq9*!8xbqRVbF=g}M2<~vMb+u^hR0>4ecV($yHcm}3zf%#mFC9HM zN;s;^ilsk`%dPGsOarefy)?_%8SY!vfL7{=`9(R&G^tOLpp0ET>4U{99~`u`!yLWw zdaxjU673Q%z==knfXQ@5a9Dbw8H%N}16t7FRKnN#k_s~8`Xy9&&KiP8Ef_4hS_LeD zVWe!`gy*EK0x=BmYv2*W$JJyKTaQgh&$|z7w$?$i$`NcE_O9{WA=(OZ*hfaELjc&oIb}5c1OtCVQdu z@{`ehPvk6wEmh|r1;8^Lrt#Ci89Hn$58E?KdYG|Q)9^^H-ZN7Ttq&agSOc>%+N3^! zNmGsD7t21(8kuFm_h^2sBW;*woZ~KNgF4$$N0#R7zBK*(84s5ldx1;0@Xaja4BxLb zxMyZ$cDCXi-%djssxUPg@UxgfVIkXfA znW^8@^=#^AWuVYc>7;9#EMYbGe6muY*B|6i4fwj4keE(xuumB)MIokr&1DVSvQ_v+ zAfuWhaj;vzBVk?-9b^nqOmx-Bc-+t%D7~!*tcrz|7PoF;SBPZ!kknUyIWe*6#;L3R|aE z!l(DAnVVRD2EGYlu!f;~Um*pa-cy({zED3$`((0sOjuuactz@3Y7jN_D*(X8^v@%& z!jPjqY_JD7a#%tnn@AG%6H0RjG(47hjs_$H3^G;zc~LgCB$kI$wRF3>vUk0k-RIN$ z_O(2EA!C-PJrJrCj?k~9s1eCw#b;xaMlp(BLynt@f~jyfg8jNlp{Q4e?wb+ZpoTfJ zLqz8}T_ZxUw&2E$A=Y?aYAehV5+%5-!wex%d^8MJ2kkzcZ@|fIJ}rgW;bDzO#uOVt z5A{WbccyIhONAOT5I33{++s2R3zIgatIBOu4_8Bg!eudHjoaQfozn*v1gU@zhvGPD ztGX3<8(z&DhvEnx;BFlUOyF+Q%u>!J6M+Ue1EP=p^Tw_z7>ID{qXyGP`0##I!5!A0 zDG%x}$Bl?Kg43&1NwkwWD=~enwdT28S!g{5dquK+7Uft+2x`<0e0rmrT8u|QK&^R~ zWS!H&2?pmO2>t7N8~&R_r(ZFzQ_Y(7(^SFAXwve75@Vw}fABe-_2~3{DQg zvLXmV?N^gj$9D;s3NsS8vzazw%V3GcB&QTa092=lS5*ZdrPQAmmQZ@mc~+6mSCWSU ztNzVrZUC)5R+ zmKReeGb2ec^$B7mNrYm$CF2Sk*=$*%qO%UeqzLV(qZ#t1Ud4q*$|N?sd#mk5uh_$K zY`u}#PKp*I9e)UWspH<}^%LO-(Vhto{I@Q9O80bsqtpaMxFegg+9?*eV2MN8B$)ck z(?zOP)3Ls}`64E+0N~uEhH2)u8aeZH*B{F`N^>hiqp8gkX-zaXX)PPm)TWh@Xpb_^ zKMJW*SVVGa5N1?iR*}kUa~5nHHMBr>8u^(t3k;o`Dx9&+(V#cBU0>Afeg1h&q;<&j zouXl&zMsFNh#>8E6_25Xo=&$xegHk)d_)(76DU@`4CXWmYt+|N_yWsd+?bw*6b)rq z?xw=#mvO}B%KIP)OXh>asR$piRRq(`Bx*|c*9EIatN`BKwhC~}yN^jr$OIWyLY{Y*WPAXas^iYY+n9$T8SxlK%FU!zS2@3 z5av*!-jrWdmZ)o%4m2n<<<-Z#AY7^yw~q1~Vgp<kH}Vg+(vPETy*v>OAjK4%&z%?mGJ`}GooA!DTn0@I>MI7JntuYh{BKHHL& zt|sB*8Fkhh78mJmLxDQEjJz&W89Uv7S;RI*kB0UN9han7COvMPkSF5cav-@QLFY9e zoO6ZF%K>L%z5uhY!pz^q6 zG^o6IdWTfe0KR{mOnx%EkDMU$K!yc?U?W7v_Hr+gt~Trt2=U8sJdDLEt1nyIU-);h z2{0$>YR+C%(-jtW(rucVB88WcY^2I?PhU z8P&=)((`A*WOjt3Weur_fwgZ*H&~eAHiTr>fO^)Y zfX|E3-zuQ^XUAdC9D%_iOsmP5Nn1`s1O`zI99Ci6DYx?$a-rs4KjRXz6wqH}_5Zf3STfndZ#H_Sr7MC^DuYrA=*EPoQ(8 z_n-CClK#1H76BtK6kuhYCBfxG8TF5N)&QFCk1ef5)QImHtoCTP*zjT+2EsBMVD&m$ zA}NmzVR#!b_L|Gwikkh_sTgR1v6pG~pWgW1cK71DqpnHc` zi1aLJWMrkYO3&N$1vC%T9Cy9Z9cxNOm`zAY(}{d)^;~wU<_vq-3pvM@1G!MO-=Gj5 zSJ~NGxNHd-&3^s1)U}?iKe$!ul_XnR!%VpO&`a)!3=85_|4__5rekT%v2>0`u9-r14y<>HrOE6%Tf_Z~3zCGJUsNxl=zADE=qlaSw zWqi5bf2}9z@Wd6j!C&A#EfCg2*Z9KpHua<4KT;JC$legtLlMpSK@hO(9>gL`v$qX9 z-cy~*n^Hpz4{E5YT7ex>qsdQda!xdUQf+16ya|#S*}n9JG;5@gYNKq2Rv1hlL6|3{ zZ_tHkSLWD3VarpGD8~l65FJQNCQ6iZ04Q`}>6JF^$4Vz|PM`_d4`IwNqsX&N0$ga3_e>Q~15wD31%u-W)#rR#Pqi(f|41yR79K<~7NG@zM4G{xEp2mJbQ0JRwm^YYTE%rQPo zQYbtZM6j{+#zUl#DB5jr+{?VWzjU}nkY!3N2oUt-yJp1ARA)02O9X;wS2djJC z(?_zwJ3>CG`XSw?yS5VeOV}5M{pb!}%$vqc^t99slc7|LJga`9lgUoi&vD)G^nwHO zeoAZiA`0-A7Hy)P=-YIR2&zbb>GJ|I8~iPbw28dg!R11v%k1a;%k|RWaN(fNY{g8I zF6GQQhbJ#L&H3=cs}fumB~!3r)6uYW-or`5kp@`JN*(u9M$!RO|A%ny`XijvD?@To z--F=oOJn6_JiR}1}qIq?Kf>U=&G~y@krVcK; z-UWRu5epYklxCN**eyDcjXH%kOBnXoAd0Pj2`(bZO?SW`Z!r@MtUL7B36_#If1rC-_Q!m(< zPB;Qb$-&9wPA&=9z}eplZ_a(Q{f9` z*n+2iCjoR*zf4HXJ82JPWWPIg&uAKiyY)~`Dq!j0CsPyR)8J1Fo`Y3PE7T@OW+v~1 z(izi6KX=*N)l=lM1_QxIcgx;K#%Kd*L8^{6vxWs$l*GBBwKf8NH^0sg>ajdsWIfW z-ZQlQaS=N?)l`J#aSqIHk1>@QH$L2d?T?{1O!BFY%erN=O~-|J--#aA;qlDl$T;d4 zn^~9Rlns5e9qdtqV}c`^^?JbY9;1B6B+>q>TACR43-^SGq$vd+JJyU#+o~di)OVGT zl)r3LPdXbl!UT2%!}V?lTTSGims1|E9Z10TfN(p)TZr*eU#tu|sxKVC^{9^Du_782 zZlB;>U5|%e@5x_xG?*rvIht0(M51bDQgvuC^kL=Mt|syZDuZw#9lH$F3k~BC2#c{aHRh1>d7Ul_b-%@M^nF?lN!w5 zemcdI!Zw_l(QVmNhsq{CrT6rh(k4F>%N=^kj-U;uyi&%r0ZM6uySc>k_7tkpj=Rzn z(3bD_#9#7v&Wx-@D!m@JDRw+8(0y7RP77AY-HD1f@(c9Ybq6F{OUGsEK`ivyQ$NLV zfj2tUY#bKcowVt5zlAfpC`@S^A^<*s947jz^E3I1W~L`1`_dWIs~;G%JHn4P22NS5zggq?Kg9&rWL-)4s+| z{`2*f)F>`y)WpJ0W|-Sqvj&$WMH^(l;BGI!DivWgCq=<VI(({p_0}3;yqpfYG6Ys|38lI&l`9~UIeP#6H z;)7=?Td3y@Q(HtO-EkFt6!{%df6L2H*x`Cw@8z{4?C+yP|D|_QLmy@w!#YE8(h&w& z*IWJx_@+uAqj&|{VSVzk(2_cEj(l8^t02lMHP0Kxz?DJ4V@tAj-bE9oKTuN z{d<64in!14rSI`wTFYj_HNk9Z6O;yTZ)1Ol;^w-qBP z3zbgEMco)4$;x>NNaB8Ql>LNBA(}PRlVQv&g@j{fO&Y2CNnmAF9VdNaS-?!XT=i@^ zzBf1glQNy&UoWP$1EXk<3)T?YJF(~Tm1SH7H}8`Y+SKn|!xulL4HqTXY7f6#T|U_; zTVN-(51f%1wS!ds7IgKSh;C;I9zk-{Ig4S%dVSM7q ziHL#7C=7yUo74DAHbzFX@r|ScQIY)*&S^jyB{bG#$H#hA(*u0%VjNaShdmbQaxlP- zu8hr&&0>j-&79WzQx`bk0_!laD#E54-f+hkQMM#SuqR2QQ4UK@LRSy)N;j~jH@ZW{ zO!d|z)P zmkxj6Hgbbd>G7q}YH3y+hmfd?V|9||Uw)*sUiyog9#I&aV()Prn=rZ6n z+wV3r%I6!enq7dmmE=;H;UGb@5Doa%+LXDOF~oOBoJ(Zv^`}sW)QbD+05!D~-&Gl= z#MP=yZfXtC z4an37J1tHK6|~N>%~qN)HPcXwMVX~_=hO$OI08dEAN~9Q zh*lhuU8OjT66ZPe){2VDeI1HxLBhDEfvV+bI&G_xlHGyXwwg74XX<(*Q5{WnIvSbw zuA17O+1ZHoS--$;U=OF^LQ?_`3}R^E@GV>1^?aB;k}Cj$>_}dT}zEUsJ}mub@`&NlglpfscI{$p-+k z)?zGX%s<%F(bB1cE4(?5J@rWgnr^|YV;G>w7I!s=0h(<7@8OIjfS$^*ZM`aejE>~A zgkD+~Mo#3=L%04Mnb0DKleGN-2KZ#FHu=E}TW*)qmyw*+fQx_Yp3Bbtb`ycKxC=vx zE0zt;MFhsu&6Bl`n%shHD(qAI$&_KBvu)yLWSPS%0`f}^=w#WGNKF&75DPbYx>_v0 zo=!-VO2IYzIL(dlL6=%XAI!My+Ace~=}G7=KKe@UdyT_tzO6N7SdL{E_LnXJ$|&a3 z-uz&v<4k3`)32e(FK+aUpVYWGWa`xayIKP7_3#9j8zeh=d<#*X$0uOtJ{;Q9^-Nye zAuhsc;1(f(i$vp*vCL!S(xreq@NcUlT)Bk;Z-^(+TFJ4RPRq_6eAxq*vlwWp_1sx> zCCdH$H>d(ZhLU1zX#*L8Xl%zLrH9Sf`$i%w%t%3qGaigxMon^~+?QQNg&cc8g$5#A zY|quBj+5w6C9AcblWD_8Xg~O6I8MY?d5&bJ7Mx;8#$mGhRzU6XI3=0MD6E~5C-`F8 zKzBN{jAP68WRX?Vgk&Nk7`fy+&H~ysA;!Q#yC4r4CYSH%ga?h2j^aeT48RVw`LK>r z5=O(cmB(s>!9HB^XXM1<>+?%z3BK?<$;IK@m0^+^-dZB0P<@9jL(3O6VL9vbpo~OyM|5 zfo&5+Hhv(mZ8Fv^K3{flJ4`zs83E$Jw%LmyYD;<@cCA)x-3}iQK_gZC^*P}4mJYme zqXZyLx1bftCYv{T%wdpuEZh-9TjyzubVh`){M;1gElvpjW zyzp#^sM0lHY})$y`mi20jtAfa?>Z*TSq`MstRnzX ztvnd`wb7uHPcz_qJROFm7bep$r$@3%D4|flhPFiBz=NEYy0;JqKu-I3V+6M>%ZkFL zV`9-CER6*X5MXtfcbS9Jf!@U}eljQ=>Vx3g3CAPyX_vJA>-lsbz}WtG zF|`4O)s4#nMbD6jBc?rPNsFX6DZ06VQP#>&zP`;;9`gi@vW8|xby`24cn?9wKp~HG z4&Y)ieN&X*#tVuBzbrR30`bK!3qvWt&I{b+*M|7U&<1UTM8Zfm^Hs$Z2WNwhvcuCW*~7=j`+qFCy}lgzXwI@7i&p5pJg+GifaG>PSeCuK*Tl5mE4_dC zqt|hav}o+!=>#8-_mP&D6rCHZLWg6F^$|pY^yM%(4jpDa($ge8v8|qx^zgCfkHb~e znDh}%l=32zvMur=bIjpXLmGqe%&6`tt9d~a<8j(aWM`E2+p@jw7 z5+SHLIBg=ebr&bY=1JUptY+BA#Lpk|9VRgaj*pEpB5+bfiBlVbvB@;!`LwGfIbnkm z_WrbxgTE`HfN*09jLz4Mmx)swrYzy#8$VBVNIYJ4#-eBlvJEvp7D$-29!E}aZHT!i zwlY|`O7iZ2T2?A{Hho!S;4m&xQ&W|B_8$u=%w5`c_;i^2h|_6%(d_{nz;VuvQamE@(O=obYR1 zw*t7{zW!Om^+iv?sX21zY%nZd)nS8Ov0n$iU)r!*cJwFa3(?NP93?n*rUsj%oj{`S z-x3vRU$kY^$8OMIPSl~muZMkt+43=b(_7J$kvaxGPUjr9WjHjnej#kr&C|Sn*FS|F z1F)LYL+Om@x1%@&0uwBQ#o2+pu<=Xana;_%Y>nUySk2lTHf}k#2!F!z?WlF8?QX-O zkEERXMPUf`b%P-^mp{2MV6`HZWRG8r=%(E8v3?r@jdFqFWNpQ9 z;o{C2lr1`&usgJ33q^382Y-vEYLBmfqj)q*HPViPspPTM?nLR!L`x@9#-!9(b>*Tn zS@^nhGdi-msam6HYh=VDK6Vg@ahNs}XlK%Th+xMH(iaPR(KZ-kCCl=;0m*Th|D~t# zuQ3vPX^ltxyoP|B^Inh}0&x0{z;p)kiob9i$)oUTZZI6UV~imyJ69Zv%1#3GS=iCa ziG>4t8V*EQ{2Kf{y0+*UY13PU-niAz;~G-{Q9Y##t&z;wwtQ;It3?9JcVnTtOL<$i;w%17{ z%!mwmASgw22aAf^y+p+X0HMh2d8hlOO=YCdyObk=L<@EiS)Uuz)2_dZX@mGfvmIO_ z`Ux?LH(qCrRCTvEpEfh7Kqd?xks(|SOLGK<*!;jEqG5@B8YChDy-z+*9}<4vj7^EP z&{_(0F~L9(Vljcwj~xQER;aJDU{?H+BJ#fvkBKOUqC^aRMS_r?}EWAc_E; zT$+>V<#^6~eW#;ols@v_uwtx?e4cFVNUF&AdSvVx{?_61vG702ejx!iI6~}75q+B( z@g=%GO~V{IvtSIFI!~ESO6(Os_IH7k>qcy+;tMJN=F8J6Wj1|U0gc2Gd^fOIE*}MU%s@%gfeF<_)g#=+@3F3;*y|?BX!$1q+9i(;URhIL!HU zQo|K%KDe%h(2Lptt?74{mZoy(i`|T1g(mcW>br89?TjV#Lkz8 zrSC`lDCmus=;``R^UQw7%Jw204D`Cdmh4I#0LrC_| zn8)Zk*e3cto8g@^t`fDut}6h0w5>0_9{wc1v{7UF4Iuc5DbZtVhNq4IAMqoGF%O4r z1vBNkQVqOtMpAY(*n2&_qqN^Ld{nY6?6v$4F@Yej@%-g~u+Upr`ASXZ;p4;*^RI(o z=Mmt-ndaQ-j=-b#0ExbWzV^CzG}w9r*+fC4XM9Edwr%ZTxc@Zx+0=WVY?l&zbEx++ zv~9AyZE~3%&2bF%!XI@ntL)9mlPXenA3b`S>NHOAV~a=NQrmD46>d>r0cYE|8IMm| zn9ww~@!f4{M0(jJp+<6RV8cbPjqlhFABAJBO8XXH7w>uOI3QpmDT=+>)ZRXGNAcYl ze*ru)+S6hV1@E^sM$wq+J3#nu21^Y06(#7Vse~?gLrE@_*fY$`UFaMcye|aG2hH{` zy?tcFV>qNqkcjmD(j6&E-;Qj)Vzz)adR%I)79`O;Hv>1ojRo(&OA1$5e(f zbwTDq%U{?c+WbB{BArOy4U3O6z)5@#t0reh1nLMD4$d_+HEfvNO*hlVM1+@UP;j(+ z4}z6)>uM2&R~x^Ar!~kl1Q&|C2B<*cvBy(n7N9 z29u)?5zKPXVu(SJ$-IDl@wyxuy%oZw=%Bpu{+bzGD{9N#CxVc+a70r1k@T4nj-L&N zHyOv`{9NBLNfA=TSF+e@RxZ$RR&U{1qpQP-bc*0;I^1YvKx9$}dB_w?5nZjgK-@`l z3Pf3T`=T1VB&>F%)Ci+UyCEdQxb;i#yi`R;nr+@;VQk9?22M5@>10u4b;F#oTqu#2 zgcOZW2BO&V*Gy1Y?2~I{M4FiT%N#k>eZe3^08~J$zY>k$aA`0IT?0-7bGQza$*)r= zjV%Vm;p@74{?aY!h)1L|@=@dSRIP_3u)pQV&n1#u@_Hz3+jbzV&95`)VVvZ!HtF`s zWcNVD{M(7!4P12#{_m^vZM$YP_QtfMK7^-43*!`bteAkiCd&zvCcFsEehcGNeY#%r zw=&Q$1byVa>yLhw!9W({ckWX@gN!e+=|8U8EvpFtvjJNgDCip zx2MFr0Kzs{nxx~5`Ms?W3%bQ-{PfcctX!>dTyoDIB6;8|A5joC% z*Cr*(-cTsAH`yZU*taq%D9;xL1HMW#H9ez%|8H(Gq(NFP6F`~-?wIQfJsX> zVa@D_iY2+Zu=r((O2zM&4)vF|oLozEHVN-WyxvWz7nZAD(pTu?=iS^Iaiagy$+iYj zrz2{X)BN6wgWwS9r62oG#b80nKc4D`ASS{6*+WIVbF1jV@GUG3(}ryXl~PBvESafe ztj08$=Kt^N-E}VLdG4@V`QRo^-XEj0l-8wF6obKjv#$Q7^OP;^!#XB=6-?kJv_7o6$68W8 z-j4XimMUhi$w0RFo|(U$egX2}$d|)|Bw1}t-otJOiOsTZ&+Bo}bbW06ni*)!cU!?n zLOV&P<<@#8uip_(r^oLeF=rg2_0(qr5EqS}cK8`iINUhd0cL*8XD9+^;B>%LQc331e z7gbrCVcBQPTaIRqFW4I$VZoabFxsBWe{*Y_nUk*qQ<}co;O$@smpO`Gp+(kShEjK? zcI&Afbui4fJGk3DZcqIkwywsh#=LH}7~<(*#&Jm4rd%TZF>i-ON_ivD6d06jtSl6R z`Ip17*WiRL`Zp1(oQ7b9>DRqNikEOi^U0Y(s_F6oB{7&+1TS_xpeK_aJ z;d)35jz6&E-^?@bm~KB|BjgI$XKdS3Vn)hwEcbcW5Xn2Rj9evX;xWjA)vuB{%K37u zMzR%&3DoSoeZ@}7XiSoy#LVN%?ZB=q&P3R7nooFa4v?4T5Mbx+P~bPe%*oRM|2;|6 z%0&w#Cbj_SWzIz;vi6f4o&2%@;rrz{b&(xR3OhMFJ53PZt$$pP5L-JgR}a^FW&*nq zgbrd^YaN62_v`ICl%45@mXbbtoEf#zf>pL&a*GaH*@#YI^LilWhyFf!)Pgulnj~2J zXaQK^Fb0FH@xY({U$)U!iJ7KPGJ-+uMC9!=$bvcSkW0*@x_Vk7tYAdw;ElDNoXZsA z8Ma~Bx;@i=Rldtih(zW8+gddl#rw#8mI@J>Q;o|<$MEcKN?Fcm6{xSyy~5E$Jqxa9 zn+5gz?y|1}t@F@mU0?$1dxdFevmg@dtt{|X)3Tud`xX3(<5p?{lP|A`JYZRe&uaND zRrZ3lZ-EYfDVnf7-^6ZN>NzU77I_!Ury%2@87oItlyGIRgHO1_4}0_E(B}?L=J@ zs?-4lHFSkT0;lhLQ0q8+TN~m&yEBPSI0&LNag_xbb{)&SS<~L2W{9uUdGvz zFS;Xrb(7dL#V;SW!>A@b6UfZyWIk>GNhM^|8OTi! zS3V8EP2UO&A`RZUh(7WpXnn<6)`)gq9iJ}`!?Pi+?>#IT5$LP)hc&WQu z&8<5yw!S{Hl~z7Jxl!Fat>lq_x3~Hl{zzbBwX^8{Zln6A-fWR!TW^0+EscL)a)83> zGvn6QePmoHIA96exP zF_3oX{}xO_RsZ*}iQ(KprWMCdP?{cWZR>7BQixF^3yYU}j?MA~B{G?g$jV|))NIas3-9HVF=t8(6DEA(`E5?Q087-4Y^vJ@R`G!R4vjfCht%1+|=ug z@Uat%C!!X$j-54PcViePX`8sy?(7wH7v>@A*_SHV}8#OyHqfGjo=3 z1!oFF+f8)+jX2`HY_ z=hpuxbPo<5AS27=bQ#Q{#?R5!-jOLJyRL6E(S_>6lxqH8*N>n!;9zVch{E`>38fU= zUyU2kotWv7(*(9v_f6IPBhI>d zT&7?qc8_EyGbt+uxk>Fq;q7bM_UW!)JK@5V6K~F-5;C0xtt6YfBZriv?!&BBETG?( zy@IOE8*{a|J!b|NJb>Sf2hfK+@tubrmZycHzB(jGg-JQNUig(^d^8Mk@Nw8iz02$VV9jJlf$w6=Jw$bOMxxNh+ChI|je~2+1g-D0 zjXp>*Dnv-&RE>Sr|0hi1hxh;HrxS})djytjcq43-gEfeB9s}4i8QM#y9WI#j!&IbA4P7UA*>|$MNRzT>R|TJ0mz#J$yD7)77cDC$O9EwBXxfQWQ*$0v;mUm=dEXG?9GyHUB2E7 zI)I|FHsd5gPR#)$vt15N|Hnks<7eUyK2>)z=QS@6Tg|60yCV2sm93c&Ob)CScFUuQ zv`(z1YTW+9ltb+poFIXcki6^&v$%6t=DX~mEp)Z;c#WgK<3J>v)N09{ zQFMKnC$GR3aL)#8)T3%i&eR`z{;ct>xzLhCW!-IRP1DG0OGj3!@px@CG<6Lp7j#b3;;cafFcda05UV&caw6GU9d0U z&k3^jO?my%f562NUo}pM^2+krxI|pw}m{X0j z!&jfAvX)Y_DO%_0lmC|ROq0TN!oF#s9qTTU>KHTsC!XMTKKwfZ17?xf!tTH~0W#AN z@=6&X3@_4b%Q6=P;|hM7d?2jGkeo?C(GQID{(O8sEJ*ZxmE0X?vQ=LR{v-NJXU*0V z)iGWy<{HF@x8%lE!`0q zdctzJ9LvbYB)y~hbcDzx#jmb?jIrhN~p zeziP(v2`mz;Pewu0yBNuWc4d>8&hw)znA)Ck}TPClaJrA)lG@vzpuJ_gjbLg9})J; z#A}!yh_Jumg%c6>p+WKX6K1-i?~d4#m8$6^2eM7pcv(;y+myB?cY_V|cWytI&o?wvt=e>G84}So7q|Y2znDL4U;xX^=#w)!L`C;^Mr}g z%%w+{|4C~#TV`)Ne3#!a@~N52bGtDRoKS5Bu?t60n;Ch~_%6W)KGZWXQI0&wO`9l- z@{&))a>o$YHN`w-s!oguYLNhszMWb$KwgeCqW51%If-8a6WS6a>hs7uB@g^W4U7x`&l$`ZRv> zj6`7)GlW8)e5Wa7s=5HLYd1i&xtDt`|A;oX`Es$o6UkcCtvG`wVa`t+nL0^-XUw)< z?gSx@)BzZdWn3kJ=tQvjx`yJPY!#acktgiRkDX^C+QPR>=JeQn(wdfJY3 z?UYV1$LQJRdz0HuB*6^6tV+3tcgS+UVTh=j01rEqO5%t>n#Q&lM@e@M=U!G)aqv~j ziGT>zmaMRoO|RiiV9NCgFtUa>*+wTB$E8l_@?qEp56}}9^>*nYCxYAUsp6pNttGP< zTXRnn>YJA8OkwL1=})Zvqy@g-UAuQf$O(p?G{}2U>GI40qwj_sj9zs0e`GH|`tBp( z%3N4r&$p(>*~`3>KHE?X2J@wtA0vYoRol!Yu6)`^7-7@>f!N{VPkI;R!73-3}yX5UNH9?CL&}y4bv34+c{?ZpsBCXriwyu!9CJ4Bh6%}}0=j$pEKi@#PtJ%^HvXqs9xE`sy?tT# z;2J!V^OiQJIg+!pahV%!#`aV7|Bj`FV+M%vVxY9%zDK-A<1uUWT$Z^70Wb8d$TGJa(@o^0n5U=`wt-F zk>`>h8vFjU!w?hh|0!n{%f`lJ5D;UtesX3JUwryXb&k3!IPllG+v8Xnra>uu%u)_P zkstK*tbKp4p<<4t2V>UsNhgz3ARfiwWYWXAH;>FhNx1xkk4bC1=0FnNazh!BVp8+# z^k|v}^jVRph>IK<)U^?#TR}ZwzBg_+;2J2G_F}@LG;S2xghwf~68%2|$v-Hbz}9oE zfCGuO4X&v0AK3=N7oACwPlXBYpKYT88&?B+MlQPvE&`ADPycrhK$?>#DAI#bkm9r@ zdmjD0(zK?>od_00x6YPGQuZ9YJKewnUXHzujj#Iu3BaJ3l!6>VaJP)>IGpgWNJn8l z(+U4dX#BXIpmtlv(N|8GX+PtHq1@^nRnZ-Zvp5y^G4h$o&2FFj}k)^OT?wzpfX$bSf0iGPl zXt#`0$=^c>1F~F&28_5*&f#wTK_eP&>Nv%X6*ERd>R<|aU= zgOP`=XBH+$0kNm%inWFxeWuBVyOXjpIt+-<3!=-Zj$fg#(PlXTalZ8P6NqMSzEm9m zQFh)Ow&p~JHtklhaN4M^&N`79U43C{@(-mA26-Iff!<%7PX6r0%l5NL0<#sS6llk1T$Yoe}o>qC5Nw8azMU z-2Pa;_CB%ts2k3gvw$xe$%cG4Hil1gmQ9KDD(z##PbQJ$Z~?rxU8lx^z1ik(SmGBm zC*}^ifZsJkBG#)_KBvQF`27Mt*U>x@lYx*omk}8lSanG{;E#2|;A;=6F5fwySz9gl z5Wj%MjdVPcTf`~xiTvLGHdzA=_rhjh%m|H)-W>=@Q zV8&xRTf!l+&a7f)s!v4Zs}KdU?({D$n26Mt7QEI=VhnSA@6v-sjYA7`4L0Kx*4~2z zz+#--mae|}$n*_*Xc0yK&p2&y^pMO!3pU%*lMSfp@5m6k)vF`IeK(srS~A!3_TLN_ z+KBY<3uFy_-Wgv4*{Gp6GNH%E+Ga$aaUlcsf;aV{zn78(S_xPn{4KqtKDSDmmp^^B zWmEc5SF9bOYL%^9iR+xaoYrP5NxWf~;4)`d?;6vVQp@IWUV;q54u39ZWsgYNw)Owi zW>}PgWR(P#skJ+TsD`@ZL^N{Orvd}4Hp?lwnjMSa^acF3Q-w+l%3!iWEpP@qL9NzL z;JY0XrU`WdiJ{KKc6e6mrwg>f?QTP)4VGqcD3*uMWdR-TIlu$a0=Gq}mjGtfFHS^T z|6goVr)*ai6^#X2;cIhPHGSxexnIahdVQ6P8A(lMF(~gal5rQKYspah#`|jtzX-oY zt!WQe1!0mkp>k1ao)Ywbz5AYxvJjsz#+lfRv z6uTE$#@qbFNbWWk+iIi-+QQm;iy%k#b5DAT#t+p;B-D}^ii|!(w>^V1hOqX}){qkg zGM7_ZsJ72J3+Do^-4HBF$w{S)BMNu3a#+`n{WHAWcv&Nd7IJ9`!Vr6|!Z94VaHoHyJaqW}NUi0#~`q3%hoe$jw9KR-a6Ss{-qniN|F znIyaD2AeHDwzu~*6YAd)Sq}8KW6q11pBErU&d)b>{Z4WPJ`LXLU~gc9M<@t9e5{Kx zBD8a@5p$TP=mm^XkU#7Hi+Q3LnefzINGVgUTWW!s&I=l?1?whiqTyr#W8`F69L@k0 z#R*ye&j{=0X1XFUb#VPgBByYd^L=Mf4Oe~NtHJ7ftxO}P&$HrjbVL8-TwtlID|wUE zYra3yf_MNx++U>at7UAVK zwX?I%m%1UZKbahiC#-eGd$3(#`t#_bp1Lw2?b64O&5IE%3(S5t3UhJ-!ewZV|E~!v zZj>WmF`owFKl>T@tw8+uP-reN{h9Jgmxs-aylsmJFj;;1uo67<1iLH%!fwR_aS^PgNO#CQEG-uo7s7|Q}4_?s9CzZO@vLY8{a#sL55%=46XuuL~aeP5ugsVhgL6} z{-{lrb&upZ{8W3eDC*P+ZUw_2DMsiHgIgA$cj^i1D0>Dw*wLHK;AQ3VwHd@^7_Y8> z6QV2;GZ>%1cU#E}L@A<2sya4_eYiM)deD0_wFqzxZrcOd*6@7m7y{Uz!DPC9`_1%? z$&#+7=%egdx@8gBJB*2%5IdYOd^9p^%)4=c$IwCd)TVZltTRw?ffT~w*VN5G3SsQ1 zh7?%Y;@w!miLd(UE0Vf!yagk&*V68_V2zC^35ww?pi^_5G`Umr0I!7UL5ltkrAmDZ zq6o)OP%~kME+HDa806%`ehmp$pKCw z5z+!b#JCF-tgk+IOLI4MSSJ%14bGMml!oM-_=!P|w=|kY zkV=qJbOBZBu-+=UrbU_egWP7OS%vHvtZq>4Vz%D>428Kf0f%l!TtvHyFkq_9Va%Tj z26^6WmR%sluo0PS18}S+qB@dGunqZ*c6jbQydvEyDTEiS!anCx(Fc!(9?uQvWO8mU zE$5iauYLOW#=P)Zzq#EVCBn)sjfI9H^$7bsRd8bW#pK%Hu`p8+Oyv8^Jk<06Z`h3^ z4c(yJlOKno)h4|8hE+LI%1DmU$IM_Gc4h1AM-M-t12^mm8>Zwlb1B(h#Aa}2ZkUpr z=>;oWLl$9cHk$?cu_~XKpiH**x01+V#^BNo+p-U`g>p?;0Uwvd6`wAz;kl$0ZiA>I zGPvsc6V|8B*0(%D;p6Sk3&AI3`vx*MsJ57Q0PWHjae zy3Ld1TKj36;h$P;8RLsDz12phG%u)w55vjE)=r8mpw}9LBY3A5uTH|^!GCeC`L6wW zgPVexjR;B}FUyU6{ zlB3$rYgX7qge%aSYdX1jeR|~mzty4MXrm2;xYqcgzMnmS$e;cnK{n{#2V8esx&KMv zFj;Bs+~D>N&p&%(WptFDzam=&gBCU*=JS$0Y;aW=zsR+;5`!yvCf7TV{d#%h0sz#w zHz{@R&I2Tu>YB7#+t+6<`ocHZC$f9_Z?TE*BMF2 z%|!t4eQ&Ay&0llx@GxWvw4Ar#gf*s40`X^QaZMneO+g7XrcEX24tJwy) zzStS3_MON^ebfN(Wf)%1?jx(0ymQ>6fxoYgGTnUTOpnZE7Wn&hO_&>a`=A)wlw0O7 zUX*+KAEqiuqlZ3e{}Nn1D6UwDxexX4Jj975Jo8M2EOZyZv1l z#qKqD^Q40JaDCGuu=~wLyeukeiwP(;60H?CkX_8oYcg=Nf#C?#It-w?J}@C28;RBe z5a-)-Ti&W*1oEB%6C2?2@b{{{C~z3R zgvUx_12>J?*{j8Xk+F8z|85BL26c^&^y>S4b9w1@TcnBQ+2E>q98;V5%Iu4VScCMH z0}&AIl@UHaF><4^p`i3G!RidT-!waTF+-efblt!x7jpzrI~YX3nW2bJUxBAuT;_oE ztv5RGCkH%>{LXuvk?g&da(IQfFo7PXMB?enf*JO9eh3h@oOQQ?S#l5OFaQGA+AXIA z-K5?od4EfCVs5j*$l8ZXonSIv#0Cx(fDFuRV|=0~-Y43S4HRv4;1SO!pfPcv62Crh zvNpgHM7-xnBn5S-nVj}SR&4lQn|0D^dE65$ctoseusxu-w^GEb7rgPd-tv_b3BL6L zztMRvEchq?x>$P`fg2lKA3@PiIahZbNZ`qh^9~9oQ-XsUx8&w^;LHAYQ>E=97+wnR2TV1F+)cfG(v>TZ718&aJE(6f7phiL^whka5 zn-jT@tc=$tl5ej}{y`S6pB$uLzWn8K*zkI4By#L5=5W5egnLDZ>8Go0y>r`lq~X?Q z&8bd9=!Q?zG4K2vI)IN-`Yb01pr=Mb9{f4c*6GRW#}_+sj3vBj?~FesGHk<#=~a^} z1ALecWT)L{f5BzcEzjgNEtFS2zER#`!s4LXH;RrM4rt3A!`~z~t&PU}ZKN;@FDV~b z!uH8&2S29W9D4peAPn6e_#-Z?NN{%1yPICk>4mhj!0=G&V>{r01Rw2PlMb6UuHC+j z%VA$$h~Ji+`XI+VI5;BdC0`{VeN%6CQ@|F<&hEz;yiKR(W4MG12E-C;Sk0le2QL#@WQH>jN8jbomaKq@H!jfN(dWJt7Mb#S)={9Q@}C2TGwdJeElV zu|aEZ6^7%5p&?Q^s{W63dhA4aD{WomW`Rf$o2$6$!5i7GKWxMM7zP>MPj+h^mJj8~ zoXUQKZ}D8v_ddxON&m}csK*78Y&a7yAblg$V_kKQksVgj^?$2@UeN!|aDvZ&2Nmg{ zrg3_vR^a8`rZ(vv@Ev-amKe}!-I`W#?t}0o)(DMNL8NkK*ziw|2pHWTp?E}XY`PU4 zc&m?$E#5W?K7F)EV#UD?_L=6-%Fl?<5RWjvDwrXB8c}^KlOeD;z6tw2Z1d%g;t80^tkip zl4;hknxC(XIGM36j&sq5e&CoK`~7=|+PV0!8tiNz|4tXf{P^%{+W~!GKhcp2)VvND z^^FZ}sw|U#JP+%hpKYQHr9N;x+PBQt4mPZ#Kf61LVJe3{M}vG+*%I#S6R+y| zGJ_QNJ#=VyCYEGw~D59S8A5 zeLwd{Kv82`!S`=|t1h|ceqAY#p!DIOL5NX+npK^{C#gRkL>RF#Oh#}@jm!&VvOEYe zx`^n52qT+5HXjDnqun8fG_l3}(pcvyDk>3kdrAT*{1|IcViMr!|l!u4EL z-AecaTlZ6br|q2-TjbbLPp>=<`tG3Yapm4|)y=sHGPdI&^yLzsoT3Dnwv?WtJGF=!UJ zlvVS;#I{Xmx0h`;d<0tuk)j6yC-oXV4!qr7_Er4|B|`fI+~2muvDd~7{#cH%dgG%l zXX@~y>W*V^2WLW^c_3A{&qQ}|Nr1Q8*lKmg9H}_4XJ?SUHi?m~*tMO|Em;}U%;mxD zFzrGr@CW2+>+bvDPP3)z=)z(p+nhqS^Ppa-i8a2BiD&+)oaE*YI`$lmexU|hf z;L9V{k^{e$u;+0FfYaJdV_l_%Tb3<{3;SHn3Lb2C>8HDA5caF7LAN-X{?6RJ`nzJ< zc;2wS8c>5}dB)DH)3rMW z8(RyGEUtFQqESCDf2=+khG{MN$-$?+Bqr!gk4K=mr!uEDoZ4~jV(0cZN#_AW-E~19 z64K49F)?YzT^-@kwgYKM_Esy^(m64*qetX~;=0_@UqF_G)6!zCmM211lb*h9>8+~m zH;K=q3&OV@Bs~<92Hk&S3A4G61t4mcc@xa%ubCz}@c(*efSsjjF-u<}3z|CBYpOYLk`TD%@BX?iV=VJ>q z>V^{yj^UtKV+Gj5e0b3Rk@1XlbO)?u&3Yt7uL`8}IPe;;J8i*PR_}(?9W?#@2d|w; zOQBbp+s8MK3sR2RQObs_o|pi3#fmgU3@JOH7@Idh<-l!QyuEQfg`?JXNv;t{GV(3~ zNHSs@l-@iUIH}SyiHM`F*!&Z&o++^2Yd})i77=K;Tk1Mlj5% zD`rWb8t&Qy1( zQMMZ{~wWJfb_oyvCY9uq04({l3eK5Na7~TK1^yyLTq!js;KIA zvVpOABS0zYT4R8VNURP#{+d%HBRgx>BtT*HGctr0eY$BL4mvCDeoeyVOqsG({* z(N*j@YD+e$v$oYji`LUucpx_y&y|Q9`gjiFn#~Q%^9X$U;$M|97hd~To=>$`M6GBb z?qss%DS)BLa`x)&V3YR&N8NLJ0OK@Pev{CPKRfq$+K?;xWMuN>o(C^}*!DW*h$o`& z_`qu)Np>dXV4~o@1t)!k=0OYw9@0}DgboLr55=SX+w3rhp}_hQl(2g{Vx6`9X3&1l zLr6p(*%v4SMf+W^=GiS_jlrmhavhY_6zfyR0kv)mp88aoi#*CW3EyXzOc z_y#<){@KIvu32X1_`+;ND*Zy%YbAg&04lj8?|dRt0a+sZ_y)WzVpuLjfV z|B-}Ae49&EpwGTmy0`WJe$UAWE;a|MM$r!6y3BxxCf--whMPa82>WJF*Iv{YzxnTX zANoJSWtzV8`GUQTwV$*h@YPRZ*EC1Yh~zI#cTbO!>FZbUH}PTc*qLsV`y5>Tk#r09 zli1N`zeYI>V&vmI@a|s%zys%g#9ry|m4GJhisw6#LW%#E$R5craZ2zWaL6;#SemCM zBtwl|8y{CfzmO9L-h7(`csbl`j{N22)v;LwJskM*<&vhcj&Z@(AgCRk1OPKK_8cd3 zgUOU)o~w%F^!agDgR|d>bksM$)u-OLodfDdEw!A#;BK@fl5Ge5iRnK0@ZVyxYzt;> zy#{?!rReYA&(xFaN^L_7PtbW#E-#70fp_0$-YMB=CUU+WIP*P5)z4!-1~|C#^%2!g zndD*duyP_Fii`ye5az$MxWaSqlMz+KGlRE9#$ovCMbbwF9IkpPtlZ1ttM}fkf5Ts> z9$zOd39Rd)@HtcATtBXjy|mNor{Re6eMb*=hj^rqM6-7;4rv8xB} z^J;VRP=O&pI)|NWo7C%^h$P?pfBdii>Hqk@{_B7HzyIsM{`dd$|M_43+rR$vfBw(^ z`tSWe%D>is`PcvV|NiU0kN^1oRmy+)PygHh|DVeDeW5eZeu{#C2jTNVPNfDj1qBh{ zK->!oB5acC@~@zz?vI&_f?`Anjs7Tzuzf$I1dfcxbrkeaLzl0(Bwb7O<2kLk=;x{!NGuHJYPJR6e z{QoQHpOrqI4p3n4GSM=S!`HXfh#r}B7$1Rx7<bPD(FCaf4eC_oiEmJ<{tCVi>S2_>CVx$w;;&7fc@~ z<5l;{v#u)%Lj9=p1TiL?ji{~mw1Rn}Z4lQ5Jy4z`=|%yLQQ8ixOXi>N!#pZh9+nFF z>j6SRZt&{gW?I8fu}CPW_V&{?gMy6k^;2e`5j1#Vfewn2;W{GzA|4Aw)eR8(6|7`X z@)axWrqMqu(Lfp+E%1D(}Q`5_y5|QJ2#+eUO5#${Q3fe}?N8{@~oS`5SK8&M+ z6Jv>Q){~25X(A$0$h=--sUVrdEJu&msVZwYq?@aZNu&2d!3I?pY+o@B?*28Uu#ksb5&E-r**YFZ^1}WbJKPa#$3*`)Rb;LDXh& zZ<^jwT~8appRNu|vZR@a7+pWp%&q~`@3Fr6ibUQOR}te>6AJd`vEQCwpLd+<7hmP| zWS}6Jwno)^tbixGFV{@CpX3!l$l`{tld*iNb0<@srXaIlu%Yx|pdg0+(597^Xs>86 zMO$z7o4|{Cqr_2=N3iZHa!Oi;@m)*rQFn#=HcYqM-g=j$plxP+dK@L@cHT#wa&Kw_0A( zkM25aQmm`P2l4vS^`sUcl}6CP`jX(3(zIr%*1KMfP$Z-#z_J}&>S|W-gN)+~B45ka zx(aJ|eV2FGx9y5*s-g#eQ~NdS)sDloykjlbd*WE{Eni(VLebMZjN}P%Kct`YSniPp zFD|gFomn6u@1VbO6Yf0L6KAO4njT};H*^#Q8CN0&Z6wV*t&u1=iQ-ZtR`AC2Ac%rM zAJgE7f;cAlJsfv$s}~Ap=t2~CW}1^a3sZPAl3VW)v_Dpn$L;~Pk+?%Y@VCqDUoE6r zPP2;zFm7uFrS}U3VFS^!j?5QUgnYvc{MK-R{rz>if`nM`osnE!(e=f0dMY(vVFI@! zy1O6(@-=*BA`FgpSmaMHhCgUML;#;RW%VR-XoN?ish~yzG&Q@noHwep_TYG*F2K?? z?~VrBykUFNH;^|yooNtlt(w(xCQnf#TO?ZA(hOkSHy%=L3QjJsQ?sYWC^5kW8h{8Q zTs~#!3AuwVEgv9g)%mEnjuB)@%b#l`%G@23xPXvLP~q#Pe-kB`*d>opO*H6dWPDoP zHzd=}r+x|3w)f<@LQ^1#0SZcdaMgfxbmN)LlRj8&kpA95JwLUGAz8RX(>0yJH0zV1 z4x6N!^}tr8PR^Fw9U>6J{aI9y#D{T3s5DZ(nKay}jd6~vTRXRMMiZPze!_2m}?3GTW8b`<1Z=3A1xZc71KcQWYsvoagV(gKT2 z-c3tQlU56^++%JjRnmf-cIrEV9QUF8M8Vxd)zq7oS?d>bYR8~ghxJr!bogG8wJ~01 zwAYP<0(b{r)n|=Z#I|(!4DQ@Id?=jLXb`n5HV}<^cz53OJ=`}jcvJvuua5=ljh&-O z`oh{l__N)|djtxUVrp9+eaCivFTDG^K!v7)(2m_R%(-1}4WL{NQhi;JLrE>zk)Ot6 z53UiTHr$ttN95;duHl|s^bDL_J}>wxxht)zs5$X8KEami>8@k%&UIC*7(68Q&UeW{ zr(;EGUzJ7sAbcXlIe|61;nnc0*^-0PTPN$yz@v;*`W1}G#N}m*A%ih@)mxR|? zcp%1~PckEn%YV_T451{XYhhrx=)-I)PHb@ z8%nSJa-Y9*1_pX}pp2qXQL&7B4zC#Y4p{+^7lu6&+8W0IrgVrK}TZPuMI|nf3!^xuSQ}N}#ivAB~ zZ)yDKizK0R!A?Uq0vZZ3i6Z(qmkr{M(63P6y}X9_aov(awHuUoahQp zBa}om@RFP+s;NrLO%bGKlrZgZ#Fs*{YmND-I+0HG#uB0+K7bBP1z{dRP^!m5{e378 zQF0l4U2rnVaAyI0-LI{qAPr1=3dZnc1tbrF?g^x>4(bI-VETmtpdgLb zs$e8;T2B~}Rc389a_m^zx?Uqg!?qqdGwJ82J5ndnoG7z~?N@^y*F9znW@W5UTJmG9oPZg@TRUo45=fJn{Kkt`i_YchCI*qGefbgz94Pww7nFh ze|aeIQ4l&F=^;>111EcYMR@o8e}uem^?3c#qPF~uuvc;mEl2`mwBgYOC5$Wj$cX59 zPOU#V6ZCTZE(qz-uo`;g^VvFN9qr#HC4zYRI}E^M>4nkl>KTfqSM3=n zsHGHeS3Zk1_$xg)-FK%XUS3t4I8%Guu4!u9?*HS(w|nNF<%kJ4vwe9u(5ltQIeRG% zQ4;>Klm zl8CjnX4H7+0R_=AhA^LDl$$RIx@YYIWTPC&F@?AgEl= z?gdxp`6KT%b*VQmUbVX*5*WIXJQQ9Y4`?r$6hO~J*g|_0=z^FXJ2;ka!9cjsER+Ow zu*ZD6$TiIp_)BdYkowV*;QqK)nCZ^bkeLJ0y)j$np;p6Y|KnaObf9{4`HG$SEF_

A`&tFom%>KH|6_lvMZS3Ag*y=G1vK@P1ZR5a0^#wa*blnd)zqG{kvHzZ45NG6kViaeXQKXQ=_3QW< zz1JN7yhqMH_ZwS;Q^pM4LE2ppiiG7)zEcC2GSM^9i#82J5B=$fBu}xXfB>Q5(Je)a zUfX9_!TH%9{0s{M&(T%Tn8Gr(H~2d3Mz?|jZ|AE#!wu=JOAUWQY&0xJWG1lkJaW0# zz#A=16`HrBU0ZN-NyZ=O8U0Izys6-(b>jn zcspI-M@0CDcET}Ao`57L3$V6>5eS6nDdZk7)Jr`vODYCx(+qBPE!=Qk+C`v8f(3Oy zqXHp7-oaf#X0XtaiXlOdo-jZ*)SpQXXXo;fOV3>OpI2oXnQ%a39j;4*%{+*b^+%&_ zM+}n(%!!yFHxU_$+B+VC^(T7eL@K-O8WBVA>ZjlZeJCkW5T;aN2MWBI^|7%PcrzpZ zrmJB8u~*Cz_*m%>^M*tF86}3XA5ntXM&Am~%WZ>)E~xX5rD`JK$9#GQY@_>e(G}2* z2Jp!R88fX>4bP%i0d0!#9j^CiKVz6rO`Vwrkgh6wm(ug5#Ou@6y8WLMedB5JAUqV^Q4P%4OzT>;PV8-$`CC7Ny zP}`Y8)ayFjIdEWv-|SaILqtoGIk_b22pNj__Y4fUXF`XjJj0I7?}K0q zN0;mJ6G1Q9uIS%*#}zyg^+v&C&$HzoZFe=z@}2Xt_F7(3sgxM!l$hX>ro*s$b3H zPLo{I;-@=WqdqU}*m>NXHsg!rC&mqdK?-qeQ-YOAA!f9X9P06ZNSMz$b5p4;19?_ocoh zOP+5d;0spC#k1%8Q=TmG2%S3Q)4;4g&K(X9%!SEe3gCq2jJEnhoG`|Wm z3Y$#zuDz6;?@I+4bD^)^u}_(1L7%9@^XoV$z8^5rj?;{S8ip3HD;;4N-re*Z5W71| zk$MehX8Q%@8?Qi4#|!x;uk$Nz30+xp1&8QmM4RN7E)a4C{%OYI1Z`-py5lYqdO(XU zcWA8imdI$|fFQ8-OeCDKX9hd{^0qo8^T)s|Gr>oLpwkw%8|>vUNG(vFw}y>BKM=xWHwsE6w3Zksi| z!u1T+_KYX6dp|o0klhZq)QJ0=vk3*^Jkv7+*5(O~)DfZ2=?On2vR|xa1!g+}@q9s& z(dhwTQFyF=6)5fpT37o@bAhK8cohD$F=9$uRinZ<=KTpdBjyt#Q9(vxfbpj)cjWof zs*b!7*5dURpiR8=CnzWhJ=fPd2?(@&G530{6C0Ekrhby!v#AXyF+(0lped2bNXL^3 zRCrAGp@R13O@RWB1-hspy;z#2BY~+);)#TTGBVXsz8eWpfdKb8jS78*5oABx9c>_w z3FKFhzEACCu!#iIiyB!jO3ZbdiR1I}u>un=zq0lfK*Hzyp7j#K>ZvtRrQ3I;AGx?7 z;=r_Vz%&zS!d(!4j2GdKJc74Z5$_KS`lt{QEF(S)6ibethifYW5QLT!w%|v{V z`aemv{LwQ#wHBTcfupiU*D>3Rc>2lx&nTS9Bkq2jq2enHr#>iisa1n<>nxKtq44K65tYB~g@H_RJ$sybVQH?8V|I7YemTF;%<7ub-b z)t{jE02ixKd6w6#o)L5^k57eZ>SCxWGUd$Y++Alxn|R%TWy%MF<$~~PL^nV!@u1Na z*I1yDI7cF7w0SGt&a)5zIUoFMzGc4QYjuwGkeEZ>wnJ?x6!WSe8p}k|KT!H#LG_tc zj*&WpfWpfej9ukjUFJ+{qnR8XM#%%-QnXMbVvb*9g*`~N1!tJ@XZ)7od)iQu&Le)S#cgJh7dGYEFK zyMhe6 zt6?XGN-P&ALW=|wst7%J++7us2jy9d8F=7HB)R=FUon)S)m#vhv`S0@eu+unrL`Z1 z#RyxF9Be^WDOSm3wX$Ns()d>fK34mf@923H(=$p;u(5rGVKYOk@G7}mEZ3RA{<5Vk zPzhi6W<{Vwe_Q#}mG%>t{41Ejk)k%FsnXq4PeRivw^*b#H)?2u-|Lkf?6x|N*C-G^T4UlaJu+_gl<}dtL6mnceB{Gt-Bl`3TaicU4B- ztcM&H1)+{^4)B|n1Z2Vr9JijZatZa^+vSg@yLMtCUBynN zQaU37I}AMW2i}qF%^MWxwfYkR@hgbWjN&I+)ibwcoK85^hfK8f0{ zt}(2HS;GkfpZ3I^T#?OkNnNa~AhHouUl5DS00RX*Q7bNpwQaeIi0sgmWXi1ZuBOP6^@JS%e@bLUYjdrjP-x~jL=pcLeT_B- z&~infy1Hrx?VnB!d!~I&ef@;w`+|UBG*^&8BYMI-aYpb!UWv5vd#zxjkT<%Lt?Qk! zpy#R&sHHNJ$8JYG6m32il;bbzk{ESr^SSicdd*|^ch_WM7!WJyQfdzlPy2}uuVB|I?e%D!oYYHS z?37GKq``m6o0kD#%3u`PTE4)U<$~#gk<6A_u9(*9A)KfT^kF-iPR?+zxx>}2mf5Jf zt8f6W=p<^;Tcx%KeygCc)ypRRUDL<`C)IjYHH7ha@cCUwkdiDdn@B2U$T2^{36sL~ zyT_?u`!xcqAw+Ct2+w6msEF8!v8oEzOyHwlV<+NAQ|u&wzG*=NiUfQHt*_968Izfk9RZ6Ifo&6O;2C`d3L_nbziC3O~;|0b%XyPz~s zEj{+I_SJBYO;uSh`dSZ7^Zn2TkrhHaW&2_fa5-vl6NZ~!5A5mllh}f|TzgmpNz%3E zx9=)a5(9;{o1TZDL1~#&4;V9TPHJJUh-6*+70j^i7t29TuE_F+@F{Z-S>D0KO0Gfx zhr_El-L4e?kfB?WPw-Pe?D`n48se?Wep|hBk1YDyXGLH%2nxcSCRS} za(`3$p&*Gpi@N5dy7swX2YE10mJLx{UWWBzC4;tUmTw5+3PwFHiVb00_WOP=7%!Hi zA&ATRoc}*@kmu6VO2VwQR5u23Eh7?+N|LHZ%>sRh?NqK~{^8+h4D)I}?yDderj8$S z@*Jls;1Tnb)VtR9>g+!`qy3sMNE`N6v!LnJw{vP_Yx8hd(ARfIcnNdzP_x_L?fF-b z-dKnT^f0oF8bL##M@>5CpNt1McK}z&hCq+=J(Ik)nSM()s`kv`rM0~=KTAMHRZEgm zX<2M_?hIbyJ#Z8EyQ8#rJvg-1H{h8cTUCSG*Z^D28u*R-qZKr!8F*MqQ8JaNAe6@j z*Kh<>P8IA7Rdg-p8)SyOpPbPL9dMwe|FHIa*nt{cw&(8I4IbKJlTBAcTVSovaiuo_hAVvxQhJvb zshiyL9()pAL!nud=#jI- zK(Tbg34pgh;JImORRfqy`k#XESq*hoh9!EO-IUk9{^CCLp0GbYC#=>Z&^fyQ#0S@r zxs5PCir1iB@2kL74WwM&@0#QUH)=6qDvAEMcG^uQp@`YWY!aeqs4mF!k>nCN()4-Y zk*$vzr7@wzewJTya(NW#@L>_Kut7!a!EllTnENr9ntkuKTCgx=tQtq(a(yAD`=bvR%jT45BN z;KZ03yl}Yc189Pb9#&>)x}*PL(`&%Wzk{7n`6qa%0UQ6A0~-9ZR&70ym+u(f-)&-YDH@S&({+qmB-(Q1+wmtM{ZQRAn z!*-<|X8MYlu#!@*lWGEItZ9n19KsnJJ{cFRKk&Q;U#zKJrSOl;Wu!)4Y_Z?+p#}8~ zJ0qgivpe0Q{+O{aNzH>NHiANQ0|*qxe!J?7)YJ5k6Q_8cq~MEXxUvbjFs9^@avGKlo&n$CpR_}iZuo|KW;uNVXMlgLW^#u%s50JOP z^Qt4v@(pnCYfKE6MCxAcnDoTHC;Iff`dkFhtHa)+5fMS*8Zw|pHsr>rg43RF7$^ zHAWp+A@OkCnJ~^W^k7MN^vdDmOsW1vS8=qDgCHZwsy}m)xACzUcx9 z)v(_JbKZkL`P#le_tdZ{h1@d;!*v85uvVBANd=CtUom*KR3i^iG{VmeTY~I;4ZhIw z5G^%2Lm%*PgEQ2zrzT3@8!z(l=Pj|>6Ug5W8g z4>M?kqclJOdNHhF50JAVDN*_UToKtPwjYwjYY;&>*pioqj0BS7`rzfk8>xlFFre-YFZ*2_UcM7dWwe+;LaUOaI`4lZ116=nZz%Yp%rA`k^b6 zc*GTXFjSRJ*OH?MOL^oKR6nc}4nRF~*Ef9?3X-5kTM#lqMB*}a?G9=^DG4y^ziT9n z`14iRPbz&Ju!g`j@FHHS2!`R>`%n zbYyvm07%K}PmpFufRQIqRGF@8T2?w73nf`~`d8}fS?h2!l;;HeD>ybu%7EVCci4~9 zr8D4Yy^TmXo)8rsDIOdXEfa759=EY;%~{J0qth2*yu9AEp0wnvpan6Sh--fZN$7mk zke2zHd`GOZG7EQPjtFd6zu(F+{ZU*H+NCDIub?ImwAwjR)vkJz5gXyBMvTCV zZa;MfCUrF30ob0e(5udtqsg}@LcdR5m zbN5DoV_%ko^|VDnf7P}Q|IX^~CtT5pu2$YercuMC3sp0B@{OtQc1ZMKyz2s4LS#IgMY%1tM?XV?>m2|km)b^+3qDHuP)ZF!wuz~OKd3`$nCTLl>arHA(Rh7tA>+L3JU9jt=qi4y!3>=!iL!76B8 z8Ff@-xSUo0k3cj|{~r(Zw;73t^8-fY+gqAWC9_z{Hrc_@w;nT22O-~!BIzX)6nm=! zS67P>}~M(qUf=k`fo3msF_3dKe0{YDkBt9CjVn z!k}hW6?ww6c7`a9IL&VrBvY-X55hQ}^j3YQN8KwhOnueHe67+m*akE}5Y6Bh*E5kQ zz)W6x#7YaZZde)VQGLPqyXhh-Ahb7i_fE>P;er_GQs-vkW~*f%s>W2KPT1UZ`?-NU z{6B&8!oT&Ep+Fktvt{0R~qq$zwT9S86_Pb~HzE8%#S z9&jiGlF(JG9Gku(gJj&f8L{kkj)>q_Pe#h?=$6cJ>z*BHy7UK6@UY)%CPu>lj~Ij= zV`&Z5E6mV4ZSAyqF$pX^NRE$Kw3gCb`_D! zZoAc^y$R64KRo@vdTKej9%-(jwLOi_V!QF5eSQ@Zwt% zTA?+T433XSZw!X8Jgg~$Gy&_`kc33pe=bQ#vAcBtAyOM)0SJ?b3lgbRd`CubX}dtq zx<4HTo&b4Gl}%~j=oZKlwSA`*BOV(deXT$w4tS1(18|jq?MsgRT{z zGf3wIHW@fA8eps;4S32uPKm{Iz zz9$~wHJshl70z%ZYGmKgc=zToABr$lxbI3JIiX`(BzgG!zW13YUP8Jo zP!3+;AWxwc_|lXUr#hvZ;J)`Xro z)0S&bnmE($$Bs66q&3)(RpLbZIBh5B^vz_=O>DL=6MXoFL;`S3&2~MHt|2rb9lR%u zWPuK3vs;ox3gI?Mp8q|hC%=-5it8#!KBP}q0AbedNSdwIKVZGtZqQSc9MSaxgiLIW zVc)ANn6Hs`l9gC&BAl^vjD-2HN+2m8y<}n;e~54s@hRIYxSiHHiPh>`vYCqIW#PkQ5u?x~RMU819s6QfOj|$Q%?rFs^|0m#XBF_Ij z4MkXgjdgb-gugti;;&$YwljVGA4L35PFI`0*~*k;S_IckI;63@GDV0xA|vwscg8R+ z{eJ?z!6yC|lt?SiRd*te{Q;l-lW{y&bZq8Oe`q^MqFi+3`IP0I-p(kpBx%y^e& zWJP@OI+HxQ-&;uyFqGw%d3~zn;APRO0nS`iPg#A-0KNY`4y}eh4+);-hIp>6Y<_bJ*5G#VL5(SRDT5{ zY3$TcT&<>{|qr-ZRd>mp*XBUrGiAhR9?#J-6N)BP^SgYJckhnGbi?Io>UzY=P)^sd z#_PNK$?3Iq*PhHv)pf-QD_r*l=kEnfU*-^KTLJ2-C@Y7zgp62Pu~&xY0(WNXnmZU z>$)Dfb1qon-z=EFf`oEu9JUPi)A@0we^RiOMgQb8?^o-264N(s$=A`;h@No1;(|m> zEmsk|F}t{61@)PR3Amrf`>Nynw}*}dD(a)R%!M4imGOX@_p8mA#hO4Z!~H%zbK37S z{RL;(@|r4)V04*gS0nxY<7!$YY<|D!N?$LO3w|b%{Ar8+ItEYAva_HP#lvgj2 z14FOT%OwTW4dwia99giW+tR15>lr8}FYTfs{06)%7{Vj=LF*gL+E0A;>PfKYWt(BB z?U|DZLk%3Zo;nf^*jx~ZA1@_+To;VmHG<7#O&84EZ`7{&{o!L@uw_R$yV{YtA3VBy zMsGD&v4bC9H{j^{T{ecrFjDWOYUhbV<5sKSqv;Q@aSfaj-NoD~7c8`LCVsl2CZ4ln27F}M3Jm@Q%UGOR|chNF#>U&GlTh#8Vlm5XJ+<1JrU6z-eg@c-!s)h ze1}ikzJG@~zz_U;=349GL0kht!?wSv(O5XX@l!BmmDA$NI2R2md zH8Mwy-}+LGYfZuVw}kCk?VfoaRh@L5d+MlJGi-1gm*BN~U}Xzuex%dTSm#Stw~;f2x2b%rgmxXK7j-5zEubF^w5TI+Av(85tX5Wkwk zYu7(6=>@*LCo*EK8^zGn(4DE&wZ4KbZ#)Xc3QLo4_CGm1@zS=}$@CU(0|U^k@aY*r zpBKHCLG_-ISoR~esXpq-&QK#xOtI}dg8D)O3G8_hzEME`MSH7TEJ5VaZWJf9c*Avin4)FxL8CG!#jvx4hu#DYg6oaxF0GnIlO%9LyhY65<6$z4m6bUEtL7O00nbgGhTu<4(0+ zUzwD8_1W|G#k75TTP$G@m(zmH#Oti8xYlzmT04`uxeYhtfzKTIHRc~Y``Xt4k1BRa4swo*&BWlwA{7>d#ci>IjlADwJ{!vB@p50d#J=atqAIX_ zJkIg`r22L%uzZw11*xSh7bKp=?E;tPvzTrq|29x<=~a?cd`G3h(W?~X8`;0dv(Wtt zVln0L`^m9_kD@wvdtsv+>B9ZhiR0Kz7aoT zpy(8R+O7%N^WV^A*RjuCG1>!&6>E4sXFS7fpQ%)k{ahFf6_2+CLp)g zt_v9ODz)p=b6d@1o9exmktqHkE%^$no*RA`Ex;SF^fxj6t{1Z)F@3L7H*^!)DlO1v zK63T9#NaqQ`aT&kuq?+(qNqA7KK*@#kzlT_8UYRLZ$Hd5;kXGijU(=Um}kAcx*$E{ zs$xa3w(<{bfZ#(9*B!}E7w?_%OrNWWm=U*og&jj$!LB#rQfnSEi`VnMYMxg<%bBrI z6Ap>PpMdWTn7t;8J8$2V^m^urkLRvBnafMBc@n|$x!@u_if;+C!_X8>x2DG_(}X{o z#%{^ZXS~u1`Db{C~~{y$W2P0SeGl%jE&s zDhPIU@mg;YKJ6rku^Za!)MY22R+yAGaIT!;DrfhqAaW=i;T|PuQ@#Tk=j) zaW!gX)`X>2BrEQ8$E+lyQmc35%9Ge21q^S0TcR`OX2KF=VP7N7cX2SrmaDr9O&TwK#(^0`Cjwwh7r?5m#z}#iMXe! zB!RG>Iyix}Q#(9zg7s(ZB}8;yrGd=iZ;vzeslSQj$gE@~5GS9oHt@x9&Uu*MH%>JX z1LX_)pOLt88PKo-O?bJRJzTs`knhHc#u}rvGo(&+YG}8)1prk&x7$hWSWm#D{~kqk zC&`zTP|%3`4y`o%5-d=he;hb_Gx~Wxvk7$D>*=;>tyRhEesY+FTz`ZC={&SSzFqIZ zc!O$tznzRQp~v{S>Ddi3B$uS2NQyCiz0bjJ@0&`^weFzjkwsvGefwdX+sVEi-{LwQ z^oX5gCesxpH(7T<*vI^_cOKt$uwznM89;{?Z4h`LbMxpPKo=gegbfOB&&J|gk}k>e z2q2vYRXR4TKJSxO9Bm9B`Sv>E?mNk6OU%cH&)RNo%O%|oRRv+h(I7Ypp^%yjm$r^B zS})JT+r>vB|L)7Zx=&(kq-4^|ZOE8*pYssp>Y*hq27W5i$UZ>DeG)$BPXH%(IEvH` zz%cB%P#yK}X&gRoXL2fPSlxe6V;g)gp?JFBGC!%Izj?hMFT*|=%`hwnX`EN(({5HC z7sNSC`r1kUg=IN7$7qz^ASyR9eY#-1D4Tt*r;txLh&K-#o>B<3NlN}iEwS}jUu#^viXm?9pS8%a|WYZ~FEno$2FpE?Lt z52%Traha9$j2d9&;R?o|JcFlXm}^xV!t^eE<}grQ>#y6?a^-1y1mU&)?fQ&$iCc0B zTzY65Zy?oSqoC&lpF_er+L6Pa2{LGA#M2+Fna3c{n{=_44_(- zq+ZL-0H(ydrVG+8>F#YATS5`q-phn^U_W}DY6teCH_Yw8faEH-6d$igGE0h&u7xb&csi8n!)psR@Y06#vxnTcc2|Tn_t@-vxQdMh- zsF`9azBFQO-n7`il9p7($2WyDC@QtzTD*2Yd1m;cE4?~_YFHP{t15ms9(M6DKDJo)X4e}y_rU`>A428czwSrkZkV~45Qf- zd3|63^SMi6bMMP&dSI*a9^7@qCCZ`2>@bR)D>OB-BTJLMu_kBBKpO3jz@^0k?Sjy= z6)|#P6>_tsufQtgKy5Ya2HMa}bXq6^UddYOiCR)Xk@51-ofa(6+Z_>VqO6IhC1K*y z*3^1tuF}_PBMlK+UI7r(3O@Ax+MSo$6&j9+_1P8>O}_S9DNM$ZK~R-kiYzxIj*ZJt znaNuIx#0YP$sXXy0->NQR{3LxJ}q3}(ck|z$q;VtoSp9POOoaOS~u#%4?W3cs&&4_ z!SQ&oVK0v*S3Q^vs&3W^swfRUgd)#(FG1>nNKnNZdL}*&dEcz{Y&nom?HRuekS$O5 z^&PQhYBq@J4Xl;Scy$%1#*-KnH7c+*^0FUBvTCSp$@f6)3(|ef3Yby*4tB<%e$QAP z83!X@;6c!74HFG}pW&H0CMy5bK{#f4wS$qYB>q36CbYdJW4M=5#J#+cl?UOO0a(x- zfOCY6Qg1dRsi4LcXvU3xQ=Kyn##)~)tGE_orhR_m84sd0y-&IG)`cxgP7Oux6#>*9 zL*uUXQDd;_YZ^09Q>Zn~7KCBG0EJ({4D;^rEh~L{>Y9^YV}J7#-omN*GQV6$rLiE+ zGRPc#MVd)8u9#g}Pt_e66zL<_yqJX}84ImUeNtfS#*N?)LzNu*e7g zb}q@zb}L$voK?vsJ=eMe5mt(}Q5#yAS;T34W=k4b*BJTdEuJ|2==?O(Jg-3oyp&@| zn&c#uQ-vgwd6waoS&ntYKL9(G$iSq6^rsXR%rE&8j|!4t=kpa2RWe=a%)H>*837}D z>~)9fFTKSq70fgs`-)stb@0e+mwu6x2{g6Mt=!(#wZPhFbCw>s)9vl02N6BqJT!*( zzgfl)LU`=UrGez^@Ds_dc3|6ez6wpK8?iHeM}YEh#QvRx#!U@;R4`u32^54W311X4 z)cb3<{FTg}=37-d(|>|_kAn4D<53XMKI#Z4I0 z5H0U&`HBxVU1K0%r`}^HH*{5v`wj1e9FVT12kcmtn_2{yjko5ml9L3Cy5l?`emyjU zX+J)L42(J*F!u*a;-omXX1_()<-V6^h`aI=>p2z zu6h%+R28gr0&8THAhRQI=_lhX+51~Iy;+%?3PxB@=JX{e&)Sq*0+E_pnxXbb zlM^NZNA?cM7Z~b-=#HgvK$CzLOSQb+@5(!%iqG5=Ah$G<)vc1W?RDRhJ>>I_g zR1%?c+tu!{JkV{9g4psr>ft@!&s>8t?pRNKCOD5DA07(QM!1U#5IeG-K??o-8mJ&g zehI4lzk&=Jn5yC-q*Xg%S+hS`Rh~=^+kH!T-6YdrY+R2EQlZx%hO^fN>Mll$NPpHc z-Y>{fFVbrS6fF(wUK2Faw+h0}MeiL7BFCUM6EHQsvk|V^t5`wKR5Th)aNWjuoGJ*~ zFebZ4!89=|!)s9xnp1TZNklwV1@f}aXErjE+IUv>-s>AWg@P84dG}UN76T2P4uZoA z`#?c%2HSOnC$p$s2)M4#Zox1ZO{K0u-IJw4-yLBv_1zdr;MATC1#WBWGO9BV*Q=?@ zd4oMv1x_F3-E(?)WVd>lltFrtDmff88qnkVVf_CeQf3qc*jds}>!{>VowOv4fK{nA zgK)iPpn_~jm;-9EDEPPbB%OiP1JVn9-!lY8Mm#i$nLs_BvGWw?8*+l_CGzyDH%xtB zi}h%K_j!;JJ?U;y5Jo~huZ4MTPFIk9Sp0siB6*R=wB!=j`R;=B zU43dpkGVIt-jNx=|MWut6ZeCH8Lg5S+Kc}^|GaC?NY*aZHoi;`p$CqP_)!x_#9YTn zOi+eDqt(DIEe1#J=fIDG8kQsvm6_^5aY46syR_epP}?k{;MU-;&{E>IeAduhSE9xP3m=P}}QgM?trSyN0g_jNH=jg|FTuG7@*r;h}=_ z&#P23h4^@f%gMA_y}IBAO6g6LXi!5QnOXL;6Cp8++u&!M%+M(v1$kJ!eCoY=y~sX@ z?KMH7V7{EgC`h1E^({Nh9d0$8`{TUbKLYjWVSF-T(}%#5)Ye)dk(fo6fE5K9GT8i- zm4u0U_p$%2vqr+`)pEFNjIPifGrLzC=1FX^XA`owTw)c-E2&o8Kl4VcxQ>%loSI@t znO>3-1ab*(e%-M$@ZDc^g1xfaQ)fo`NJUks1OGD@?=v90g0c?54|Cz%_9( zC@6`=cw63&_a1U=XliDOh-)ou1;_i~@aifE{T5ar$n7z@K~9#q;tMhzD;JeQ6pPI- zYE#K3j9e-{oeH2&vy5WWj=?#h?JUvU7hg zC6pRjA4m-Pt=s`kbVp=rm-sx}fF7MoNEChU$VIM{%{92$e{PI8_p-9aRc|ioKUpGZs-# z!PWJVZsbHlhn0V`k-+UXF=nnO0;q$RVfXkhf2>>uPzUd} z{$@J{lMaQYUc-;ueu6ZA=_?_OWn!e(r&)RG3|f&J|~&=epKBHYbaMC{t)NwSbI za6BDCik$OqdkAXLr}blh8^W}2)dg`d)6_%+%WEPn04sQObQi?ht4RQ?f-@^>mLP;B zGR?c7q_5(rAYZ=wicEFsSL=TdkOlaJSmJ%fpTyTF2-3i+{=2LJ(^U+clf3)2d&Jdf zK^#kcwU^c-l32STSaS?v@kbgF$K}tAoQ3s$_c$33zt{*49QWQ>uNxW#fo6~urw~N3 zo7{)ekZIZCKChsZ4P(Z&U8IXv_f>?THe%IiIId#1w1@MyoF2OLcwzo52 zV13T}r6(D$-=ha_3WY=i?lbWafY4-|F z*ds-$1D*3-Y6z6<3^vjw$sOg+fQ~XQaT-dJk5y|WkTABMsy{PY%)1~tfg&%MOI8rk z=vqgb9{7}ZA~Eg8$Su8|17JzfZ8#z^C-p3=j}CT#$QQ9o6~6^79mNs`x%%Z8W( zO)CsdrQYpS!3cz>wgdu`-s3E6o3;a~35g=oq$9<9m@Qm#GLfX}1d7yHXw`WMuG-KS zTA6D@izm#H;VV&B0P|^!q;A=l$4rmeX|5oTphUeHhDdwtPKDfG>utz73E@#4dGxbR1u8EuHGXUYIJWQj z!(ddwVj5UiUvWxCNw^?=c5eBJaX3HM5qJ%)%*+!1c;pKCy~?x9g1yTaT&@3L?|Q8> zNbu!@@^QgEK{gfKDCnw!9pAu%CAFqc?F0ju`%j|_3}E{;BdtsMCQV_L8_%kim&^m^ zmX^%fzFY^!lXWdMwSF&G016^wjRp&N#p>gmD@+{kajllti~(^=YrejY4&V~&PoE<( ze59t;tF-Xh*etVdPAh*EWcK@e%M5q;aHY8^OMJQdE0_}lvY-lku#R|o5-cZK59n!x z)7fP8b#1~UO7@>yA}Uf~1MvL46gem;fr8Q zVhy&ja00p@xfs=`i@lciNAj^41bXVsXlh?^32-I%$P}Voo*=+ii6TAOg@b_$FjB(W zxC>O^dA`RyxuEO+$L*%xUVk!;S6H8*mi_aaM8yS3f$Ool%j-)o#1&c(Q11n)7ZZ9y zzBvSZK?X?ZMbAx|!dC5M|FiB#mM*iZsh}iBuH~eKKIaMdZ0&ZD;0hjZqMUhb6|} zcCUY4Jz+2!fEU@Uy=iCX(jMP5=(dRxp^%# zU>JSgOUGFFZtI_y zs3)hQu4rK<-+rz3C-o)@TDS(Mg;^TtR}iHIm@~ zwKGTZU3~rh;oj8QTgn;yn>Vx!a_GN;Nw8o)d&WtcHoeo%lcRQ1xH8RL;cmH%YVJoI zyI-vej>$-srb^Fz8E8=u^d^J5VTIT6#XkQEVoTtd0p>bRCP#7vI}&675b=8gu3yXp zxmSS@j`%6|15mX8B&i6*m>EO$J(MAh1vSiMkqow4H{I&&K+vAQA>VDiY!;xt@!tz|f`Gb0>1h+qK z13*uY}Nn^BnVXx4UQsts%yEFLmI3la}f$|07&yC4TG3|NiK$P z&_0tMu2X}*xeLJa`B1h&o{y3U_uoU44LJji)oUdf6y=hDBQ8FSg(@UUla3}eKaC$bqF?Jp6_`0A4pWe_jQ~Ob;me78pkCMJ`=z+hvI39JWmO%I9 z1(^jvVz=y1^TIL>*N4szTon#Fzx33p?j^uKM^2=t%BSE)R*u+bT6*D0zq%{`QmUt z#9>tOG)%$kGvYO^6VTdN;h*qoDtU*;a_NR0uJtv1!FWwimH6-sD1@8=I9)G#N+#^o z9T_+|Ew_xO(LhEf;0O9v;aOOJ?g%APv!AI4?t0U|8x=5Bkd_mzY0O0McnK=l#QNP^ zE6Bux(vD36%U225gKjAqR?+m7nj7?xoU4|;Fthj?Q>KPeWwQZ#sibCZLCSr+p0|qh zw3^agn;R(p{Xw-4A<*@h*+x&rp7E$?zk-vfS8Y7~PdZ7+o`Xw^DbfO%w$ATP@3Ao+ zdMqNGbdTGS@sv`kDk5(84V^+YG%$K@BES^!Q2WiCr}5hrA%c0g z)b^91ja1cYzo{;k3u@4h54Yn)uEgnH&Vz8*&OE-b=oX1d3fCp~CuS3JuqIh)8Q1aE zeMQbg*AUPT-;iWN`b2=N*LRVE@8UJ5Ryr%BJZR9548>Ya&*TX9f}(;LDx<3v^-tak z6eJOoFNpnOTAn5jkVCW*cz&nmh`=q6){znZRw#ipFE6&f0%`8_HGVN&TwdLM~! zy(#I%S~^+cmVo~hUto)ZJDbOvC$^yiOm5$>W|5%cdNF;F9@@8c>ybe~-bcoBu-8)& z51~MgqgzIBrul=6%pvc=3V`^06;VWAmuJNXBE0?iKR%Gh)$A|8uOd`2rXm# zhS=dfk;ju+No`sgY(GQR(Z}O#C2q#wbmb(~Dh3yeAqcu4X*Rr?z{7I0(?SmahO~eS z`PP;Kh<7~F6|77Gtw-+t$E#D}q_OQwZ*@K3((nlae>%nqLU}|V}e^bAIr<%-+r%E%xRX1Rrz08j&$S@}j zvlRe(?@P=d@YotF0+3(#U|pH3GOjpjD3^G1C%evb0~gh-GyhHx7#ri&iwbs3{ibQU z(kpCj1xW+m@StBogvwZHhlMiEi$w+DW)c{*?qKp21hyjdc|3O0x|7FE?z#$_W<+ti zz`-xpQFk&h=?t~Q8l(uqy3=p0?Gpyh>o2TGGSKgAfVtCAQp+z@b~s}x)=WdF{TY$g z#(OO_u*P{xLjc5?;bBk<0*ktedI^VU>93kEFlzc>UVKLc2W$;pQfa<>1DP}DGtNMr zxySqY!l^8*Qbh(vYhkV-L4H!hVA+&)`O`DUju;?SIBTXhQ!Blged-t(n`{e|I!olg zai4qwkpJ^;+<^VZw(9>|yo0p5Gh!nUl%bw+vnU)D>^G>l0@NS8fU06fjG$&L>{aVo z15P@+HJ1SCuaEDm64S3nX~>*(FKBw6=jgxz06_n~BM$g|YsgxdPLhghjX&!qes=}y zrL#uC{uA9$&kp2X*WLw_S9`j4Cu_m*4I{H1>g&M>7R#fWwZqC1%{brRMFUo`^HzGf zV^rly`gin90}wyBc)ALb;j+0PLl-z^8f;)To)^hs|M(=AyZJ~?ML_q*?A4*WeKmYN z3h(xboSIswAe7o zFNA^&rKoCU3v<<0D|LRwe#of;_HtB-0xpY4L>;!UE94ll4L+H{aaVVk?sp(2O3*VnEBSOVqR3gukdmp-$DbGonwre9x~H{ zGJVGk3Nd#>rfVGP>Y3EZLoWgpl8y@gS~r@?PhH^@ZGMv#148oz%4UBIPL0_eJUu06 zjH4@<|GeJ%R`2qx6#@9}^L#A~`bWiUO!nZzxLzY^<%=&!XT4rx2O^A&FenJ6BjlCm z`|Xm9X_R>WZ6ciLu}&H^^?;LU8;V}y#yfOhv2R`zUvg}S6S}8G zq_YCT8uLj!%K_3!Ja)SVF17X;0a4wnt6_=x0kLAa>(ahP4g z-r22!i>yooAWj`uw=j8i4fu(bpQ&Njyl;)~<<5{f+Dq^Lras&O;RX zlQWFNvmD6#{$RFR%UE_zA0qD`D|=%$2~ANoqGp7nW;w9=Zq-(AC8e-?ubxaUz}W%i zw%(nqUFK133GFJo?#(umc+j`R*w*wyc8T#AH5;J&;ULl#{mb0IdeKym-MJaYsx{!I zyIuZ&MA~J2za9ZE8rlHi&&MUz0Kzvez;`6VQj1?3nV3fV5OdqscZ|T1>cKBLW~fLY z8bJ3?7IqYbCRwD+z|h_Q^yLg&m`B7+bcf~ncm0GR{P8)oOKiCOF;-@H@eo-)k4^uN zRo?_yYQt|mU0y!b+3T+R8Z*Hcw>=luOwLx{vC~E&`GiwTT3gF_FzXR8rJMUrox8(5 zG&}-!u2x#*VO#f5_ap|J=wsz;u&#$1?n=*}F!9zR#m=af>=0P1tknY7$2&fUfk^k7sgpD@xBs0V;hM6l+jPY4PTugh9&V7QH3 zPFn@Rlv;hq#f~-=go#b#hLj?P`7agRbONptQO^&azQLLs>Xw?(zVQC(mXd z*&HLu{r!DlDjx3^17mT2-~5KjdJtr4ay?_F6;%fn7>k3Y$~7iSqf}e)hd6v#(|Y{Y z=JP~3H`%qLDGl}Vuz@~k;5LFzPlx(Oh`yeo8#4U9SpHs6StGY+xEWNC0aJRw z&W$i?*e{l{!CG9)`&x%?Xj+5yj5I`ekev1>(BoGS&-DKuWb)3maqXiz`Hqt`!usOi z4(*S@t&uzQJ;}~5?P->i`9wO!%*b7BC$prRlpxRhdn%fVe~SOto8cA(JHtUda#rR<*P6#f@6V!$Jn!D+sxN3R zP&7?Lc!(?AZuxHois9^nl~{NePzQ=5x5p zaJPH?fSNb#Al9c(M4>mC^<~0eE#62F?*xO}1(~m^O1{Reu7VL%6mr&UGJLr{Kg*jhiPeE<>q9FQ`L%c@|>bgtkp4R^;qLl2{ zgxM@7J@nLzC1J5Tng+?o``&N54gJs4^Ru{i*dq<=@C~7Qx@TtC9rUqbe2naaF37Yu zL(f>jUb^)Jm=fDtB@N;ak3(lBSof9Wgi~A2jOImkVzGJ-Nxf!<`KkeRQma=Dk>X;z zXHN!#`+J_tYvqCy^!t2diy*yEAFEx2O_QAOP+V~S=wHNIT}VNP^~?QqBq!Z|RRtw2 zsKr+#JA=M%ySziXBS}l-7w#<%UD_5qY+e2qe#T77VTepv`7Ct3XI5Dq<9d%k1W%0a z6!~dJg7F$XdQXabPaGz$Q0G$Y$#J7W-ILj__=04UP=)to z>d)Wbgujq8)Z0zy>(4&cd%w9|)lt6<mc*XLLn4Jm3hA%L_S_Z$L zd=f0Ht~oDPY=6**Di^rXqsXqh+TRurWFTc2ho3f67xX>lvQBa@c+hW*-n`nhOFq5ZIZNiZLp7VU4D>0$o_Ga?6dcl~N zAmP(vcM!q2j-9@!?hDdorYd(BE_(9?IT^JQ&K)^(wPophmPTM3-MqUG(WQ33W8A8F)5M%OO!=&W(hljs2*8ag2bex@Dtlw|VDmn0{ z3L?~0QGXq0rS?{eqtS9m$5ugRnQW5NRLo{F)Lz}RBqt-h7MPWsC%V66UR1TQQ+`#t{|{+ZQ7j> zK{_rLyYJ-gJrZL*^H~G=f1ePE&TPN-F8PAM@yo5yk?r>h5bp>uec&BGIn&o_X~5}I zT_ULmYsH){83{^iD)4${<@9`M;p~1yU<|w@B0umu{t=-%44u>+z$kvtkY~bRbMCtU zb4>OCy*UyF$9AP!Yx3Kv(i&V{Vf<0#Hnh`n4 zw(E%1LaO-*JZ1FMxVh+6Fq1#meKj+4pk5L*k+ z+3fncnwhFxVb%6{NGRgcM#|vZhgGnjopf~S2JANvbU?g_SXAPhCq1S}QAfrA_EKv?Q}qLO|Ec^sUo zvqzNiRF!F7_9MoZiON+2^q$Yn)Qbo0n1;mouBS?k8W~7geZk1ERlVp4^H23d!zCci zXCTlu5&-L&GZ(9&_n3b^*g&4A$WNt*&bvbTiuBkFeGlf{Qn0g{aVa&HuDBGhO?9k{ z0`n)s5x`kR{4OhxK6;gibV&ub7)0!n{^yJ{5P55N zyDvx>vgTc(4nc>bIwt~QWlR7U-J4Pj(OwbM!TXUm+5vg$-CABNB8S* zm2U4MQG*z%>)XTf{Gv4mEYA@Lsa6Mnss{rs&t*JYH%sbc$s2^vhF+wGjr86}Et!}` z@^4-C9bI?KMDJ-)1)z35%SMfGv#mi1JZ+?Eb2Db1n_Oj{n>;4wN_&8M_}Y3tb=OK* zsJaUaxkg!0yAi$cz0F$TYu7RXxNJli`-0p)+)QLC(URHx(CjRC4%{l&h&5`04E!ED zqH<(;A3)Sf8C$*~hOV}E0BVC}M4h+CAFRt@GU*4zI{>MDct{5TwdDy59rcpNxob|$ zACG~EkC-04Cm>X6^93FFB@kNuSV0F3^N;av5FdM<9Ss24NI_Fo5b3D1z&5C%-MwXo zdx|h}Ka7k6Hf*&)L}CM0?EO8%vL`3BS0aYxbvYc0lU;tAInI8Kz;RS)o1ptbqt5mPW#<8Q&U zBUxW72^4ko8!L!nWWykWO5cV}23%@AEq=~N938)Y-4DoaB&CC%zE{#f@#%X<{DN#o zzk=Lk^@3pW3fQDZ!#;lrFbB*k559rnwokahH~|n<;P^N7fRJ?U6X$!eGXpl0 z$d$vlI$`>npRQ+s(i34aPHBH|1ml$4%eU_dz`IV= zyay~;8@y#oTybdkOgkAj?%oCR;9Y`YDe(T+T@aRJeeV;XpP`NAj7-6$zMe@Ps9gc4 z`f-ok1E>1;*vPa)p1Q6fv(NjA6;W6c6F#TgFfLaT% zz5dU|9Q^|jTV$!{<)y~KTVjw`D98*Dx8VL~Z6y__E_uCiZZmbVD(T$<6z`u9$o^k7e17bd|ycwBUMAtqu3F^|n^N(MD zCWj%XA7EBN9>&X0tj=Q1oM~|mc?J=RUiG9>hw6Z+8uQLx_y8Q5&4mtdsRxS>kAP!l zxh%o~U~4)16$XD}eOTLXHpmObXO(pB@tm>3mp}QUD;)KMV;ju2cJy#2k=gc9^j1sI zIfoF4Zq3%Rb$t)G1MNU0vGq}k|M#2fLvns4YPTS*9d{L3nM_4=0pPHW^L6ei~ z5|iHF$q3$safwa9G^@KiS1C}lt}4Dtr=WR&KcIsqiMPp}#&Y;A~U z)gwlX+|XdObuw6v*geLdta6}z@akUmf5u*MK5e+#^^G}X_Wb_j&DoJDV_RGq56CzB z%^y8pNh|mI()_~5ukdOOu5&wC)nsY|@$GuHzP;A#PueTPe>BFHUC&jG-4VO5%6A+d z#C@|d9j*lv-b~GHnxo))9FH@EI`GKPa4z7K+QrEP7M#gUGOCL=MYo&nIzi>6X$U8p z%`#jdp~vb;bLs!{XO)1@Eb_9j@>r~wS_0la&w92Li?wI9F5ejh!s-L~F5d{eWm@YM zQw`^sK}%dzn4Qyh3qEdynNK4Q8m~`|9Q&k*)i>bfvnHbotDiHCt9*PweTA8aQ_E@> zKavt?-th__*Bd4ax(z#HIhE+)ddMlkwqXjNqx&-+OmDlw*sef#c)%XR(dC+@&F3T! zxVi>>Ko4dRv>Rc?)#V97w7fC{m+sHgBX`1N+|YOh;l_A${SztZ1cO03%}58#rpG}+ z$GmgROI+MfX1>6hM7EBYN{4cLbCCb!KsynN*1ph<*mN>?nA=Kszx!qbS8ZfTFQHL`pV4c?90uGQuzM-pKS)dmlw z0|I#SZ=ULmZn0j2PJ?SPa&xfRd2E%G2MWF9$P9I^E8=swnKshr`e4R}!Bu@tTYJJGudrK?A8h4N{K^0J2@`BZAs7-rwq<2bp2oJUh+$XNE6zr%^U*7r zG$fwXa5ylL0nDorTe35bo3-u8DMU|CgLBVbG8oz#99Z+ZsvEMO&Rm=t(vV)Ip_R-R zhuKZemdM?KH!I<);Hi!TE&(e+ry#H9xgiffc|Uf5pLjBL8Jb>JvMot0>7!!p7o@4i ztQ?w~O<%dM>+j4-#D}d&4nao@iC#49DV(%$@ZPl6bAxC|BG5eD_5Y>Z;iH4xLSGP^ zFu~qRF=hcd3L6r0y7tD}j-9^!@C%*H@4-$yxwK6Eol%&4j}zL^_T{#uaS8p2CrBGP znm|uu{bEVZ!w0k#vel@QX|ifHatTcwd>YbyCK*|)K}*Tp2Ms>Nc>x9_wz-i{`>=E1J_Mprdiz{FXVyDCfdM<w2WL)Ga2}&MUA^Aw|xtZJ|s*E!O z%pwl~4v9tT)d$EcVh&rF+<)@zE7o3mYRjtc9uIYWa=ISLH(MFT1)?nCEHNo3T@xRV z6Is105@IZ@zOZjVCla>DLOB_ACFau$pI#GlYdOP6__P*46;77cu42b`ZTI-7|F7ql z|M#oDv-aQC+-^`3IYHKZ?$0zm9Hz+SDZP?$|BabD@3HGAuM2W*Etm31Edqog@o?6b z7-+R^ByXfIk9XPnZX@?cy?gpFhB|hH5S;0Qn{&m|3P2;>Rw63HXY)su1r3Ua6;dgY=0{>kYhqI7aW z)5 zxsv~Webm*#t` zwv6E8h7K|rcO*wENx(0pkyJ7f;K%B#t&ra+7S$HcbBL_GQgs=D?Js(<%hb&^1@tew zKhFYw!Y3(SkJz*eGZfRurNAK5hoK_s=AYsgugb^oYwKoLK#zZH0$}m5w!jr|1bk-c zGo4@(qZ6#n?@b*+hK^WuD&B+o){h!=kJQmqFjM32F zu}IO-PofQ5L-cI*ss}vMKFLG&;rRmM^_Y z>ydJecmF=Cvm5#DB)nr&dJ-gZE?!q8$1_}y_MhqMSWKt>jbk4TQl!Y(&b-0OMzSSS z@0c0hxT(9twfNY#8e^hHETA(Np+Rkwfk~Q)MRNLgsV~C)HZLIYC!aV@pHPIREjt%}f4_5t~SzjB)gllr1!hL5=8Sf46oz)C#EjP!c zbkWsvmEg=}j>!wXY%6dKTwUR-^U|-Y$4-;~3Hh@4wUtyvU1Df+(%M&ANPYPkuMGn} zAw^RxuI2CvS!1HKb6??`T*w-?NU(^90cBIpAj(PcrbN=;X=7(M?^v6)@Pj{mT~l-0 zu{M*Vy4{3`nn>_CwYw{U8a!xr`S67C%7jTW@QY$^yWT|YtgdDr2sN%|GQ_F>gYcA} zWha@URw#O?>U(=83t>;Sj8LO~0NU_C^0DHIOnG$= zFazya`=*#?Q~Js{1O2^ot69N_`|p)pL410q>Y;IfC@=oqxLhJqF4n_EIo_R0TQBwIK%SIihvgdA39I+2r2jL^ zl5U?F*wra7+g&DF+mY_7-tX9v?rL4*!tVr>E63pDT0oCRfs;M^A65x>sF((|Gb_+SQjKCi9)%r6;#u*WVF6MB7A1=Bx-~WZQetu5qF2$fOmB zSc+)~-jdIAQs_vUwH*7-yTeYr_}(KdPIS+`$bRn{|Ee9hmvx82Gfmh@r)E)v+)|QqLE?Fcq{F7S?~%OIj5eO@!4bah zS8AEfSAU^Y%4q{j*3XS{k3Rf^~sQrQF&4!6Ui zv@6Cl ze*8bVnG0)&702U~tpT3Q|8L4C0gHUsn?i(ABD%QX^{ak-to@QiRW=4@9$SG}+e#2> zXMM}lfy?PN<1~GS6`Sbr-Dx7%tMBkX6RXi-$7wfyzXP;yr~W57^l9}}=3P?9o}gL^Xk(bb{K02oV&2Y)YKw7p!i{t$KS{mCT(3)mj(!X>LjOQ2&ch5lCy^>^3KFy zmus|xT~-Rm*pl0ukiL&hd9x&r7r)a%EnBa*qJvuYiBsvwA$E^Rof*V#z;6f7>~ee- z-)^MCZAwl+Fb6f$i5a-Uw;8Dmat4AjHt1*gyjjBx#m<=t)W%`AkNGO_9qh5jgmJY% zRD+|Bhvduy#z8!;hn=g@hztX*@$%ehxh|4FRR&}ZE1uh(MT{Gi3S_Op$;<_;v3&Om zZ;;CcRT)YeN1F;{zA7nSQaBfI0M!$9RxjUQR-r|-&3gsg_0_CH`$fxFsrDE0yRbmW zzml&~_4Xh8P6h1_Top*m=~-!HAInOe0PsH6`Gv2n$-&P*Z-6uvuX)X1m0~1*(|ev6 zyF7Pv5cGT$&EonCOsg3RseT~;S=b5jJmeuO*Id?VBk)#-=L2?X zQyi7;eSz1UxIlsic!hF{MUZ0(=Wc65+*tR`am_)v;f}CwzbOZLnHG=^0A`Rlu{pt2 zq^%KYw4QwQ9j95ZLaHwFO{sTrKy@THZ@3tb}wQm^L$A|Acm{Z9>G|@Gr zcbrd+S7YTT2xk1M39aA)2|%Pq$)uD66gB`-tz38*c~)$c;`j!7(#Ym5IW}?TA0_RI zIiGZUY{J@R5nyCbH&-a2FN1#JP_A#BP6rxuC8Nhfz`~F^@~?zK-6@Ce=F3wFWn)V0 z=~b_uL_C8Z;au7senSwktjo;ulY8b-mz?mcru#F~GiTUo`4#!NmU)}iH)B4AN)d@@ zgs>-OxIm>`5q_zj8Tvn*_&U~;Rpi-a5r1Ugvn~&A`YAD-CER0y&h!ZJ!$T?Mx(INl zUyQ>M^dseV>uT@8fXK@maodsgEI?|KgRhNOC)b09&rVyM8WM@62r=qNh_>ykpqL!+ z?7ebl_Mcp1-A&HN@f$ElEaLBboq&X!W14z?e-wKe)7$q%huFD z-i*QOYK&{@V*{wtd1D&}V5Q^js7&)lDM?Xz;2B8r7NKgA1DV5Ro+LIAQpwi*c9BR} zEqR1-VNy&m%b%bJ%=%A4 zEjDjBX^JoUKXrtU_n%B^+xR>Lx>%di^%-@h&v()%QuqQV@}Y5^`^iBm#p5vhUe)RAOg8S9mkgIVHC#G_=RP>ALs5laMN>R~~JZ27lW+Vp9; zBys(uTq9sz)n9rOjs}2Q9lNW`Gb>w>9DPGSF$q|#q44kDW_S$Wl$>49Wq|T|T2sT_ z#GZy(IEJ47P9Da}#R}F zmsx5cU!hyaXtx@U~Y+=&%7MT7M^Zp zLc=c4Fee;{TIO}Mh^Iv=6~|n?fVod{(ui>{sX>*co*FrZe031T&^AVbmOY>5q>7}6 z!J_j$pJ~R{K>!q)R~(Pa*$k$Ym>?8KQUvf_W~v9B)vY`E`Tt7F-O0Y#;aB8gnj{|U zuKi%_h#U}T4M3m9t8mN#)ESPIK{-r$75d;nLN!ls?xQe7&Z|carcZO{vHqTko{Qwn zPptN&uTX1i%W$;A=3Fxhmr~?Ti^Q_Ld<5WNRyJppHwWMV7BaL7UEk6iN3rKlz}Eae zwX0WaQyFf${LTTkCRz8Eu0HW4)i*OTHS$XV7a15m{p~Z2dwyr08NJ$0m4f1lb(O*K zqhC#JQ|t*;qnt4@jmz+*UK!k@!ICnr0eHYl8dg#M-x7z%cY_)9NnbDsl=HZv*fOG+ zeYlmcwaJO`vWnRjgg2lagBBM46Fv!TI=>YhXsL-R!cev2DJBAb?O? zcSjr<7^}`3Eh&B2ypf^d+!03-aMHLn0PA{C4g;_*@86TR@BYF&2l6?&??oF zQw~U&_I9LfiVXLS@(HLv^``lopgy)!Dz7PJ%$wtrDkcDA5hlsnaNN1@xj`-rYZ|(K zMW%bIupqy%_mT@6Q#pA@qMBhre?1?b8{ zcVSn-g}(3V2D*)~{OkWesrv@9J_VA8&6}y>QrSX=r}7+jKxQ6+VQkNwiA7^)&xn!M zz`W|olANRfnkH$K;d}>e`Ll}vq8El0-n~{fjxWFRSkC2vgyh#6JV5_pEH9Ox87DtA z9YEpnjJil}!exBssc&k6M$#qs`^nr-deIXJUNqfLb`#gZnTa*kOJ~1umI2D}2h%jb z7#=CHI^`q}ofIR~Mr#o*?2pp7G9M<#5V*cQekFFVWLj!g=7M9}R+)*j)a3!nP*acz z*prXXs`&*Q#mjy#Ifw(B#Dqt)vYLsgD#hedcuhQnjE@#3Y&3fHeb5@<|(J9VUWVLSf+gz=vJ2#=ysx_o+u=gLY0BxM|B z`7|U2d9=xO$*B3RJ*>v7^65RGwObwEBW#B*z5yDP$l%M?^~~T%aRezSV^IfrP<#xb z7{OiiZ4L0C*hs_86Fevppsnk3Bi^ch89+cl)c`EigKFsi%PPS7XQnt*YvF-h&lsKk zVM-YwP6@3BVp6|TSzWnv^IrID)^nx-4Aj^$u1WCWn8AoD6_A|%uG~+64dXw*x=ZbJT6Xp2wXcz!*MsZv(JD#}H6?K9>!c785vX zPPuz0Tq_s*Ip7M3~uD8Hl~L_3J^U6vZinsy+(a18{`%9LfRb z#lkf~XdbF+f!s3^6DEoIC3c~)w#19kax}lhhgDuZMxF>D27?mWN9GsveCy(Q{&`ZE z&F^m_$O+nR`$w1l{}UcI5pjP>R_2%K0=bD#P;SRj57m|6tDCG1meYu8-;_PxItK47 zk-ULJ`=_FZ>lu6Ugdx*bsmZHL(8gnU{lqZhGU{@cK>X{26YqL;*a_HWtSS5-5DSgJ z#iuPt@O8}cpZXpMDy|u`W~eV##K~~(&v+3PBr+b$^+W)7SaBQW2v?|3tY$5Lpg^;R z5}?m?^ZqTiCPIVgC7LiD&a3iHm=0}T)78lk!*2}JVK_K>d;4DC@`UlQKLZTl$T0u2 zzLs&x9NqO|*NgtYH0!EA2ynLE9X|IBnGZt4pleR|2L(H1|V%$t7tc4MI z$LoW_k&FEVne(`DP!q;OE#IA^3f9BN_CH}Qw9HWko@VW3j0K*s9-jB|WIx_~_tg>` z%<5Nv2_q-bm-YuzOl*d_cIR~DxQ5hUKS@-mVTI5U2j;QoPgYy)bG zBg~M-7#_(PM=;o$h;SfN`fQi9j*DWONoOswB_{zJ6J|+`XGCk;?!ko%;o9QY7)uXZ z?{VQLzl@oCCr|a2Qbx(qyLE`6mb8Ye4?EBi2lB|>)9?H z3nzZtp&Bu@m^@A&lG6x6=_Ex8 zAATaM#Z=Fn@^YKa7VO3Tx8=UaN1qtY^V8MI2&z{<=XLT;Sc~oP04`%9ntWXvjh`F? z66T``YjV9N(1~#Jp!ATO@r#4vjR#ik`!S$Q(t!Kb`FBZMvYu8lmYGt`v_Wio3A~GT zMxcZD9TNyvKleyDd*nKxu04CA&D3#-Ru5k=+Y+p=;Cu%dfOQosGSu6gZTvp@7ueB3=rbjhL4Ob+ONq5PIh8X?*7JxJiy+8%U#G)hdS zolHmZWUfW88x(`;iblKH$M59~u#p%+4Us(L za0O&Idw>3(86Grv`%Ibu&V1PTrF_xqJ$r_2sUxr``NdV;_F0;953uRzMs~~!+CfGk zPQs{7XvNwyJYHjF#fmvKB6Hc{0@@>sxYQj)w?Dp)NuF|_toiU0NmRM^_hil7zC3dY zP)g9WDnE&&=TsYCo-<%ao`_bTH@s~kJUt9Dzk~+f#$$bn?r*A?f;m#1g&r|BR!&+FKJb#>f9uOW}mc z13pKKoRxH%{p3q*J17S)r&Ny7qI(!SJrT98#f33N6QJI9XGfUk&%m& zZosl&g^F)C1J_{eJtyI_{t2c ze6y9z8kEv1p<%m|=<`UvMs>DzwFDSTqHURai`qt~Bo-o6eeZyCN1?M3ToWvkM&8;Ql zK^o;CAL1$r#BpE)_%<~>*wjq{Kn{Z?D+e}c+z)dS?Woy#kSR*GFs}J07ip>O=LSPk z%4C5iDIDzY(#wsJ zDj54_+zk=p46FR$ASPZ~D>5se;UXAZ6oHS9++ln-=3Kh5^YcW$5s$MOW*erPn##cF zGc+F%e3m>igP!(1B>>25WtWZHGdEw}e7?+*!^=9mX(!Ag|&5e5|A#o^k!3o60>OB)$C$z>3gS*W&yqHH<6e*=q4`@ za}+Ii3$(2ld%n^(yZNLZX28l@fqPRsSn~)##L|OD8hAZ%-rO;LQ3lL+$fo=LVl zd#Oh}t?usaA?RKpW^m>)BE=S%8LT3!@|0A0WnXZzy zWgbQrSbcq#VP~xU1{y8!HO%vTdD@!QdxcNjdDhem?AQ-j9Z+>{kGgO7H$>wn-^5k= zf8M=NH3X8y_eY%6lAKhp^cpWv0UJiBkAG^?tMhenj^EGok{j6X2aPgL9qe&LUAjFK z*8_@PAO|kzl7KDH1E)5;NDi!FJt>xl#byBt99Q^_QUDu#uqdZJeCz)-&U1|>R^8K* z^(Fhu(e3-6XFG=fs6FEdnMZB=Y`nWAje|O`#a{LC@}8?K|LuXVVGS*}9b&S_>94kZM`g#lJ7^uShk81@Zz;)_zTNdee~@C0?HU`BuLq zF%l;rT}$@eH$FarvRZnP;nRaa;(9!}3&3>qfO0s)RuNkrF2~_9AWw_(c!QP}FoJ>V zM{9w~YuE6#fUCO<7i*4;s>7=T*7guuEg-`j->sJioa^x(E#S8zu(wejp>2`~YR#KK z6Q6yRyS_}zLDnRB#VLkb2VhdtBL*iZawY}CMxh)hd)iAEutyIPb^(0k&^m5C1RpuX zz4L)RO!(5?7SAc36|Aw}wAh<+IBD4-gd1JkzyjXL9sxeTXHdC@F7QU(9tg=ht7m=i zSnCrIWw3xSl9Ir|c@ak1zShOsAN@c6OiLh)B7cgiOH4T52B~8r`5|8yM=38t)YNV= zrjJ?*AVv7is)0nPA0sU(vL{+PQ)8BFU zqiO_ZzsRQ7C})0Mz8t9hE?Ro+Yc=EUMgW+78LYj;%wZ1I1wh!mJ2_(f9~!E)Z=%7W z>Q;Dt)HFWN_T>M1Xp`NWC+zaJVvBbS#e=!SIQva}@S0=9W-&XgT{b7My zFj$aT{cm~MH_Bw~bV6wctdlkg*0%j_el~f~Z7ro-^K{6@?9k;46+FNM9p~@sXX2IF zvpX5@xVi6SQXkxHLH-bCF^VNNM=CbpCM;nK;`2}P25|KkIiWo}d?2^)%Tu~wl8xvN z$>}oSc5<%Woo@sRiAdeIDW?gSZvak+h@e=M!*$dxXB_L6oIwY^|4*3zqRG_@Cc6+O z*J?NnKM{^P79sPqvZ5*qB}(Iy&gw`!*M+R@1FU; zdFGj&Ewi)p`OVJ0+uh&yJHt!LY6;>BASh<6`N3G)Y_&x>6`2~=v+WTl@W;xG8f~Lz zk;!}MFP1xfaU*=9>cz@$Cd_ZHbR24TUa@mhoi4}HYE2C7Gl)$yIuoq#tn(M2Soe7x zG4g#)5*IkVl|b}|>{qVNkinvoui7-r6Nwt~8AT6heg*VvA^p6Lh8_(u(_s40-}7@K zhu<5pWlNqco+uZD8_OhHb9+aeD{~<|;{x2;7&EA`_fK_qB?_}v8U$;6tf`zBJk*mu zS9=vZMj<%FoU&=pPxAXK=K7_y;)H<;}Of&ftQA#I>4UcBr1I83~~<4pFE z!M+_4{lfh|l-jqdUH%P6PsSli1a@9$L#-krJeZf$-OkkgE-^E&pNLJ3!q{+>YuV{& zR=CXwRD2(hzY{$1$8-*xZtGZvq06{fJJfvx5w`QpOO@(vuBkIjg#ELsx2~Ldu!Oz( zM^k$~4RIuu&@WoD9VZHHSxQ7vVxU&ODOn|By~T%%%shQ6_VQfG*c&iXL_DLdMQpEX z9w8njkeW%^42^2|5c?tt;?c0Y(!k7Ly;gw8=9hISD3cV;#5SG+Y$bCumyz#>b8>V%qB^Kdfj4E zaas{ZoL){^0XY*fbAIp-sZx0Tp(e#_XqYG*)CNwYB#XheuMI-(?{_AXqz@d`>b;x3 z?O7vhG??3bM7}spDN8!3pkUQUs<&XHMJ6x;ZQdX$AFVrF%-&Btk?$`sulBKK%2@tE zwD8;v%qq|OWQE%v%wSMh)Ea* zl6}!_H&?`DzHt)+F4+3ccb=sl$DX+4%(|E-S|b+87c{;9*#=mL9wWb3t1vq}Z1UyI zED~H@CWZuM6_{-7i)4Ut8BPE@z%-ehIIpXzMq+nI(=SWnJyn^;W0n*5j_^E1S#Ijf z5G4m_ckxW_+^i4l1Vjm5+mQOpm<;Z9&+};8a6qG|FSd5vG<61*m9uMPu880)@6vf( zO+K^md2Qybg8Q(w21fbd2KLYs;8VS3XuY?9d-x=!>gY01Digm4Sf@5YPa1zGWT+3& z8niaGz2)#Vy)YiL=$?CCz(Y*%r#iXwbIEE#BJ|xPENLGSej4JrhfeoOvwdhIIUu+Y z36p;=82mD(sBl(dXK^~Nl9{I416+)75y7!c1^RjQM z)!}BXsAHnIlaP2)9L?HxCi!H1;3Uyai7FQA_R45u}Q{ibs$SekY}Q&J^8y;>T3Bz+?8 z7E)9x8WsoD+CBL}z0x@}Pc%ef5@3Hn1GAn!c_yQeAY_)-$+SD7gsf6rBlw&};Rm_l z1jFnu+)Ah%Qj*kp=ofPvLI)C*&W(4i3uJ#IyNqyWaCj=Plo+WQoV!_HRvW7$`n*n_ zeC*lE$~$T)0~7XDyff-`FTAzTJ5gsq=T$1VLv`HAjs`u|*r%@L55^=fw5+@0=^rE^ z3PzLZ8{!c2bDwaYGv}g&G%JeCtPIC`8;Kruaz72uvTx`^$0_}YA<(gR z%**z0OG=#I;^j?$`!!40JBOF`-akR5p%x)+psJbtAzR-~f&$wKFkxduaYwlCd4{9>z{n1G+i_Vo zPwown+0U)OAT%=+kR?6RUd-98nkPcgXE*j>_h0sxP3L)aS|HluSfz0XhRhK^f?zcZ zDB{1ScUn|^kmZrpcew63(LDxTaJPAsV3IXO_lxPJqkcmX-=oZFm#aL)$0>z;xJ8&kv(eGzxww*I_)2f2$?nH-OyIOh8p ze6J~7dQsy)EG_#zQ9I`gPQ>@8(%|kiS{pXe_onac!qd~zzvJDgfLzOtXjSz%ZN~b( zFLmWhfmS$nm16n4m3qMheIxi^_ z2O{92#J)IE8d7HK-V23GNNn-AU~m>|aJrnR{t43Lgx~DXwkK)_EYqeU9BLJN#m2_u z>cukgA4?hsBgVno6QjaFh2Gz=xw)C*Tb(kO>)?pol!jZMK&`5|Q&1<(S((__pZ%>p zkVI*9XXWnZ9?S9ZQ;W_CqK+HC_T$$=IS;8WK=o!bP)5$0y)Xz1FmE+j&)r$~IDlid z{6OgY(PeA)qY-aH!2xeZqMoWr+%hXu4MY5}o5?(Xm+!(3>E05B3r!iUh0h5y1ipc) z#C&2k!Q`HHGYbyS%5qg3W!pFoZJbJ_Qc-S~D*s^IkO=S?ag?H zPa$2g-s11=zfIG(?`vZB^5>_+eNdsp^v`E6hLx+UNp{xyqrKY2!Oskd!y?})ujDZF z-K7BWjR4MVE+TjoU6eP3+Hh1}i_X}VW`&RZ#N)3HA9ey4V`(Z%t`O3BGfSyopn+|k zMusPP9ODz()KHLCD&2s?B?nANFYMSii1M-f(t()%lV+J2YKicCmFKC{GBiT8xK0Ph zFnli*Aa@O3e)ZD%EsO1O0h3veaVH=ncvQ87t=R0|lVzMKHzdVjgWAPFh;XZE(>QA( zO2Wf*?9JA;!nT<2a?*5Kiz1`Xs zf+Yir)6wHLzr1vtyGNf2Fq(Xh0*+k@qqqF8g8#)md+m%QQz_j?*JC|p9#hzFC-Qwg z{ARlQq-p2*bSvl^oq09~7dAkxXW(rYX`h#>&?{gO?QbsGZM45W=Y`303Nrmv-e9RzO|E55L}Hn(uh*a zC>yy8qp+1ppG(GI0W%lz2nDZjQ-SU8{==^#{BkoAgAc`zA!;^SxL|IjB3nfOF^e2K36*?*Dq=r1SMl?GsL4s$l=qI zFdpCNuV=~I8Tu2i231%Rj(A5$IlgDaONV)M%eW;;yLsoDGP5jP`Mr^9%pD!KQR2Al z57~IHWeaWi_9TAR*3C9oR($Pu5bY%^yf&M~S{-9E6_MjD>Ovqx>3V>k3bk3KRA{JI zz380GoIJC#1VW~_uS&63oA8}m$#+7ZKy+hkr6UZXD~s@W_NNm0V^`?iv5Lt? znamm-pw?XM2v@z@%;JcVhwDjeS`p#kQUPg-EnneCgtxu)mF7wgEi9g`pKD; z2xkemzM}0u{13MYm-0E_7A5~Ctk*X3NQ(Q2aXe@hMO8?0tH>?ge<@WMBewo+hLE0A?Z7B74;J)WfQuFF~$`^*kG=9-K&5i_%<22 zU_Gn2+^#t|<4sFSHelzcub&|8oronfdC)Gi1iw%K0dlP-Oz)Xc7zY2hi5~{fEv?~3 z+)bHXcIG`eVdmuY&cEn7O@5>JM`oAEHMIc?Jfb@DGBNZ(^_W#ENQvXmZF;I2u&=-6 zJ}Gh4f?m#sXja2lrzD$)mf&6G6dL{y&2n%l>9aKDo+w$Lz@m3Mngn(xoBj4`IXxdd zM2?)Kwq986Z?^=+3xD|tB2byL-I31Y3m9v3;5rXn3nhs88I{T3%rT6WdmCEdtiV97 znudyL=4slggpGHdy6wJ!O`#6+d|$P0PLg zJjFt6bL5E{|NY(mK`^H5E{`Vbn-z7y_5H{sYkyWyWXzfQ&NzOg@pBMOgNDxIB*d9-g?;+YQm!G>fs(hen+M?>Dq zXvs+4h>5KAQhMBaiZ9kzX?gVF+k?PyG1}@bOb(9cR*I9#B!g^~DmLz3n8&P5$_+aB z{wh&3=BEYO81 zb&54)fg+Bb@k=q85e-*>a0Y=banqxF#6x7J727{eIoPp}&ymeYxq8;F(XXIDUGz*_ z7b@V+;ksN6T*qi-xPo|^M`*MhC{&WD#==pmT&X!*)fC~lqx%PZ)ejJkC;LPIgK7H= z7v~L~oe!?s$O}~3?+<@vnUfo+CLnCVt|(8oe!S^uujeD)qo0mfl8y>*ujeIp{Oqp* zq8h{7sQUT>aN3tqS0c6KxU6*EA^u^h<4>;iY48i)LMZ2?^m-~gnuKSfmVx!!P_XE7 zEOG@c`q^=74MEVd^W`XBszfO_u%oj_sTkKB#-@FBa`Q;cL7f6f%}XnX74c%&q7YtR zK!jVmrtMjK{iJ*q`H#{iB&|p8fLWQ2*q0?YBKm$IepWG?CE zCety+%o+Ci@=#T3`OHpDM=>6)O$R9EzLyw(w26tv+a%GQzKv?W%|YfKy1xb9?2JTdmYYBAYLfw+JiHFC zOm!D&Xh!yZ*AY^CUj^Hj;rU??Y?m~xxkSHJw>$LC{T=V1&$B$gnA4cpI!a2RqWlTl zCTQS(DSI=_Ti4)3#m%Urf5vN-<@{vPm*`M)Dd*7$jO&t>O@O-n77KS=JpfHR;6JT5iZ^|?1iEkV@38{z=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"] + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "et-xmlfile" +version = "1.1.0" +description = "An implementation of lxml.xmlfile for the standard library" +optional = false +python-versions = ">=3.6" +files = [ + {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"}, + {file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"}, +] + +[[package]] +name = "exceptiongroup" +version = "1.2.0" +description = "Backport of PEP 654 (exception groups)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, + {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, +] + +[package.extras] +test = ["pytest (>=6)"] + +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + +[[package]] +name = "numpy" +version = "1.24.4" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"}, + {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"}, + {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"}, + {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"}, + {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"}, + {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"}, + {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"}, + {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"}, + {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"}, + {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"}, + {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"}, + {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"}, + {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"}, + {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"}, + {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"}, + {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"}, + {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"}, + {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"}, + {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"}, + {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"}, + {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"}, + {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"}, + {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"}, + {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"}, + {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"}, + {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"}, +] + +[[package]] +name = "openpyxl" +version = "3.1.2" +description = "A Python library to read/write Excel 2010 xlsx/xlsm files" +optional = false +python-versions = ">=3.6" +files = [ + {file = "openpyxl-3.1.2-py2.py3-none-any.whl", hash = "sha256:f91456ead12ab3c6c2e9491cf33ba6d08357d802192379bb482f1033ade496f5"}, + {file = "openpyxl-3.1.2.tar.gz", hash = "sha256:a6f5977418eff3b2d5500d54d9db50c8277a368436f4e4f8ddb1be3422870184"}, +] + +[package.dependencies] +et-xmlfile = "*" + +[[package]] +name = "packaging" +version = "23.2" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"}, + {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"}, +] + +[[package]] +name = "pandas" +version = "2.0.3" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"}, + {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"}, + {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"}, + {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"}, + {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"}, + {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"}, + {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"}, + {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"}, + {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"}, + {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"}, + {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"}, + {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"}, + {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"}, + {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"}, + {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"}, + {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"}, + {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"}, + {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"}, + {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"}, + {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"}, + {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"}, + {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"}, + {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"}, + {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"}, + {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"}, +] + +[package.dependencies] +numpy = [ + {version = ">=1.20.3", markers = "python_version < \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, +] +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.1" + +[package.extras] +all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] +aws = ["s3fs (>=2021.08.0)"] +clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"] +compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"] +computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"] +feather = ["pyarrow (>=7.0.0)"] +fss = ["fsspec (>=2021.07.0)"] +gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"] +hdf5 = ["tables (>=3.6.1)"] +html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"] +mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"] +parquet = ["pyarrow (>=7.0.0)"] +performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"] +plot = ["matplotlib (>=3.6.1)"] +postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"] +spss = ["pyreadstat (>=1.1.2)"] +sql-other = ["SQLAlchemy (>=1.4.16)"] +test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.6.3)"] + +[[package]] +name = "pluggy" +version = "1.4.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"}, + {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"}, +] + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + +[[package]] +name = "pytest" +version = "8.0.1" +description = "pytest: simple powerful testing with Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pytest-8.0.1-py3-none-any.whl", hash = "sha256:3e4f16fe1c0a9dc9d9389161c127c3edc5d810c38d6793042fb81d9f48a59fca"}, + {file = "pytest-8.0.1.tar.gz", hash = "sha256:267f6563751877d772019b13aacbe4e860d73fe8f651f28112e9ac37de7513ae"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=1.3.0,<2.0" +tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} + +[package.extras] +testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] + +[[package]] +name = "python-dateutil" +version = "2.8.2" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, + {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "pytz" +version = "2024.1" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +files = [ + {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, + {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, +] + +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, + {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, +] + +[[package]] +name = "tomli" +version = "2.0.1" +description = "A lil' TOML parser" +optional = false +python-versions = ">=3.7" +files = [ + {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, + {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, +] + +[[package]] +name = "tzdata" +version = "2024.1" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +files = [ + {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, + {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, +] + +[metadata] +lock-version = "2.0" +python-versions = "^3.8" +content-hash = "c66eddbaae168736744a75af7b7541d45ffc7df2cbdbd8c4cc702601945c7f31" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..ef1d8b8 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,25 @@ +[tool.poetry] +name = "canopy" +version = "0.5.0" +description = "SomaLogic Python Data Input/Output Library" +authors = ["SomaLogic"] +license = "MIT" +readme = "README.md" +include = [ + { path = "canopy/data/lift.zip" }, + { path = "*.adat" } +] + +[tool.poetry.dependencies] +python = "^3.8" +pandas = ">=1.1.2" +numpy = ">=1.19.2" +openpyxl = ">=3.0" + +[tool.poetry.group.dev.dependencies] +pytest = "^8.0.1" +codespell = "^2.2.6" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/setup.py b/setup.py deleted file mode 100644 index 043c2e7..0000000 --- a/setup.py +++ /dev/null @@ -1,28 +0,0 @@ -from setuptools import find_packages, setup - -with open('README.md', 'r') as f: - long_description = f.read() - -setup( - name='canopy', - python_requires='>=3.8', - version='0.4.2', - packages=find_packages(), - url='http://confluence.sladmin.com/display/INGEN/Canopy', - license='', - author='SomaLogic', - author_email='helpdesk@somalogic.com', - description='SomaLogic Python Data Analysis Library', - long_description=long_description, - include_package_data=True, - scripts=[ - 'bin/canopy_concat_adats', - 'bin/canopy_check_adat', - 'bin/canopy_smart_concat_adats', - ], - install_requires=[ - 'pandas>=1.1.2', - 'numpy>=1.19.2', - 'openpyxl>=3.0', - ], -) diff --git a/tests/data/test_lift.py b/tests/data/test_lift.py new file mode 100644 index 0000000..ddac5e5 --- /dev/null +++ b/tests/data/test_lift.py @@ -0,0 +1,57 @@ +from itertools import combinations + +import pytest + +from canopy.data.lift import LiftData, check_substrings + + +def test_lift_data_all_positives(): + matrices = tuple(LiftData._supported_matrices) + versions = tuple(LiftData._version_map.keys()) + version_size = {'v5.0': 11083, 'v4.1': 7596, 'v4.0': 5284} + nc2 = [x for x in combinations(versions, 2)] + n_choose_3 = [list(x) + [y] for y in matrices for x in nc2] + for x in n_choose_3: + if x[0] != x[1]: + # the case where the user attempts to lift to the existing version is a failure tested below. + ld = LiftData(*x) + assert ld.scale_factors.shape[0] == version_size[x[0]] + assert ld.scale_factors.shape[0] == version_size[x[0]] + + +def test_lift_data_type_erros(): + # if we feed the wrong data types we get informative errrors: + with pytest.raises(TypeError): + LiftData(5.0, 'v4.0', 'EDTA Plasma') + with pytest.raises(TypeError): + LiftData('v5.0', 4.0, 'EDTA Plasma') + with pytest.raises(TypeError): + LiftData('v5.0', 'v4.0', True) + + +def test_lift_data_negative(): + # these are all failure states: + # fails on not an assay version: + with pytest.raises(ValueError): + LiftData('v5.0', 'v99.99', 'EDTA Plasma') + # fails on lifting to self: + with pytest.raises(ValueError): + LiftData('v5.0', 'v5.0', 'EDTA Plasma') + with pytest.raises(ValueError): + LiftData('v5.0', 'v4.1', 'Girble Tears') + with pytest.raises(ValueError): + LiftData('v5.0', 'v4.1', 'Urine') + with pytest.raises(ValueError): + LiftData('v5.0', 'v4.1', 'CSF') + with pytest.raises(ValueError): + LiftData('v5.0', 'v4.1', 'other') + + +def test_check_substrings(): + input_text = 'this is the test' + sub1 = 'this' + sub2 = 'test' + assert check_substrings(input_text, sub1, sub2) + assert not check_substrings(input_text, sub2, sub1) + assert not check_substrings(input_text, 'not', sub2) + assert not check_substrings(input_text, sub1, 'not') diff --git a/tests/test_adat_math_helpers.py b/tests/test_adat_math_helpers.py new file mode 100644 index 0000000..931ee57 --- /dev/null +++ b/tests/test_adat_math_helpers.py @@ -0,0 +1,33 @@ +import os +from unittest import TestCase + +import pytest +from numpy import isclose + +import canopy +from canopy import Adat +from canopy.data.lift import LiftData + + +class TestAdatLift: + filename = './tests/data/control_data.adat' + + def __init__(self): + self.ld = LiftData('v4.0', 'v5.0', 'plasma') + self.adat = canopy.read_adat(self.filename) + self.lift_adat = self.adat.lift('v5.0') + + def test_scaling_math(self): + back_scalers = self.lift_adat.divide(self.adat).mean(axis=0) + # theres rounding error but we're lifting columns. The Ratio of lifted values is the scale factors again. + assert all( + isclose(back_scalers.values, self.ld.scale_factors.values, atol=0.05) + ) + + def test_processing_steps(self): + assert self.lift_adat.header_metadata['!ProcessSteps'].endswith( + 'Lifting Bridge (v4.0 -> v5.0)' + ) + + def test_signal_space(self): + assert self.lift_adat.header_metadata['SignalSpace'] == 'v5.0' diff --git a/tests/test_annotation_lifting.py b/tests/test_annotation_lifting.py index 0b6ad4e..88df75c 100644 --- a/tests/test_annotation_lifting.py +++ b/tests/test_annotation_lifting.py @@ -1,19 +1,27 @@ -from unittest import TestCase -from canopy import Annotations, Adat -from canopy.errors import AnnotationsLiftingError from io import StringIO +from unittest import TestCase + import pandas as pd +from canopy import Adat, Annotations +from canopy.errors import AnnotationsLiftingError + def build_annotation_example(): - s = StringIO('SeqId,SomaId,Plasma Scalar v4.0 to v4.1\n54321-21,SL054321,0.8\n12345-12,SL012345,1.1\n') - df = pd.read_csv(s, index_col=[0]) + s = StringIO( + 'SeqId,SomaId,Plasma Scalar v4.0 5K to v4.1 7K\n54321-21,SL054321,0.8\n12345-12,SL012345,1.1\n' + ) + df = pd.read_csv(s, index_col=False) return Annotations(data=df.values, index=df.index, columns=df.columns) def build_good_example_adat(): rfu_data = [[1, 2], [4, 5]] - col_metadata = {'SeqId': ['12345-12', '54321-21'], 'SeqIdVersion': ['1', '2'], 'ColCheck': ['PASS', 'FLAG']} + col_metadata = { + 'SeqId': ['12345-12', '54321-21'], + 'SeqIdVersion': ['1', '2'], + 'ColCheck': ['PASS', 'FLAG'], + } row_metadata = {'PlateId': ['A12', 'A12'], 'Barcode': ['SL1234', 'SL1235']} header_metadata = { 'AdatId': '1a2b3c', @@ -26,7 +34,11 @@ def build_good_example_adat(): def build_example_adat_with_extra_somamers(): rfu_data = [[1, 2, 3], [4, 5, 6]] - col_metadata = {'SeqId': ['12345-12', '54321-21', '23456-78'], 'SeqIdVersion': ['1', '2', '3'], 'ColCheck': ['PASS', 'FLAG', 'FLAG']} + col_metadata = { + 'SeqId': ['12345-12', '54321-21', '23456-78'], + 'SeqIdVersion': ['1', '2', '3'], + 'ColCheck': ['PASS', 'FLAG', 'FLAG'], + } row_metadata = {'PlateId': ['A12', 'A12'], 'Barcode': ['SL1234', 'SL1235']} header_metadata = { 'AdatId': '1a2b3c', @@ -50,7 +62,11 @@ def test_lifting_correct(self): self.assertAlmostEqual(correct_value, lifted_value) self.assertEqual(lifted_adat.header_metadata['SignalSpace'], 'v4.1') - self.assertTrue(lifted_adat.header_metadata['!ProcessSteps'].endswith(', Annotation Lift (v4.0 to v4.1)')) + self.assertTrue( + lifted_adat.header_metadata['!ProcessSteps'].endswith( + ', Lifting Bridge (v4.0 -> v4.1)' + ) + ) def test_orig_adat_unmodified(self): self.an.lift_adat(self.adat) @@ -61,38 +77,57 @@ def test_orig_adat_unmodified(self): self.assertAlmostEqual(orig_value, adat_value) self.assertNotIn('SignalSpace', self.adat.header_metadata) - self.assertFalse(self.adat.header_metadata['!ProcessSteps'].endswith(', Annotation Lift (v4.0 to v4.1)')) + self.assertFalse( + self.adat.header_metadata['!ProcessSteps'].endswith( + ', Lifting Bridge (v4.0 to v4.1)' + ) + ) def test_lifting_matrix_error(self): self.adat.header_metadata['StudyMatrix'] = 'NotSupportedMatrix' with self.assertRaises(AnnotationsLiftingError) as cm: self.an.lift_adat(self.adat) e_msg = str(cm.exception) - self.assertEqual(e_msg, 'Unsupported matrix: "NotSupportedMatrix". Supported matrices: Plasma.') + self.assertEqual( + e_msg, + 'Unsupported matrix: "NotSupportedMatrix". Supported matrices: Plasma.', + ) def test_lifting_assay_version_error(self): self.adat.header_metadata['!AssayVersion'] = 'NotSupportedVersion' with self.assertRaises(AnnotationsLiftingError) as cm: self.an.lift_adat(self.adat) e_msg = str(cm.exception) - self.assertEqual(e_msg, 'Unsupported lifting from: "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".') + self.assertEqual( + e_msg, + 'Unsupported lifting from: "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".', + ) def test_lifting_signal_space_error(self): self.adat.header_metadata['SignalSpace'] = 'NotSupportedVersion' with self.assertRaises(AnnotationsLiftingError) as cm: self.an.lift_adat(self.adat) e_msg = str(cm.exception) - self.assertEqual(e_msg, 'Unsupported lifting from: "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".') + self.assertEqual( + e_msg, + 'Unsupported lifting from: "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".', + ) def test_lifting_to_space_error(self): with self.assertRaises(AnnotationsLiftingError) as cm: self.an.lift_adat(self.adat, lift_to_version='NotSupportedVersion') e_msg = str(cm.exception) - self.assertEqual(e_msg, 'Unsupported lifting from "v4.0" to "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".') + self.assertEqual( + e_msg, + 'Unsupported lifting from "v4.0" to "NotSupportedVersion". Supported lifting: from "v4.0" to "v4.1".', + ) def test_analyte_mismatch(self): self.adat = build_example_adat_with_extra_somamers() with self.assertRaises(AnnotationsLiftingError) as cm: self.an.lift_adat(self.adat) e_msg = str(cm.exception) - self.assertEqual(e_msg, 'Unable to perform lifting due to analyte mismatch between adat & annotations. Has either file been modified?') + self.assertEqual( + e_msg, + 'Unable to perform lifting due to analyte mismatch between adat & annotations. Has either file been modified?', + ) From bb7a611b50dc6109e0c0954d516b3a16f191c2a4 Mon Sep 17 00:00:00 2001 From: Ted Johnson Date: Mon, 4 Mar 2024 10:33:12 -0700 Subject: [PATCH 2/4] Updates to poetry configuration for pandas and numpy between python versions 3.8-3.12 --- poetry.lock | 86 +++++++++++++++++++++++++++----------------------- pyproject.toml | 4 +-- 2 files changed, 49 insertions(+), 41 deletions(-) diff --git a/poetry.lock b/poetry.lock index b03a9ef..a4d6bd7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "codespell" @@ -66,39 +66,47 @@ files = [ [[package]] name = "numpy" -version = "1.24.4" +version = "1.26.4" description = "Fundamental package for array computing in Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"}, - {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"}, - {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"}, - {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"}, - {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"}, - {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"}, - {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"}, - {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"}, - {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"}, - {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"}, - {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"}, - {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"}, - {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"}, - {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"}, - {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"}, - {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"}, - {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"}, - {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"}, - {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"}, - {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"}, - {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"}, - {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"}, - {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"}, - {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"}, - {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"}, - {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"}, + {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, + {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"}, + {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"}, + {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"}, + {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"}, + {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"}, + {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"}, + {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"}, + {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"}, + {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"}, + {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"}, + {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"}, + {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"}, + {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"}, + {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"}, + {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"}, + {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"}, + {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"}, + {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"}, + {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"}, + {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"}, + {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"}, + {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"}, ] [[package]] @@ -163,7 +171,7 @@ files = [ [package.dependencies] numpy = [ {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, ] python-dateutil = ">=2.8.2" @@ -210,13 +218,13 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "pytest" -version = "8.0.1" +version = "8.0.2" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" files = [ - {file = "pytest-8.0.1-py3-none-any.whl", hash = "sha256:3e4f16fe1c0a9dc9d9389161c127c3edc5d810c38d6793042fb81d9f48a59fca"}, - {file = "pytest-8.0.1.tar.gz", hash = "sha256:267f6563751877d772019b13aacbe4e860d73fe8f651f28112e9ac37de7513ae"}, + {file = "pytest-8.0.2-py3-none-any.whl", hash = "sha256:edfaaef32ce5172d5466b5127b42e0d6d35ebbe4453f0e3505d96afd93f6b096"}, + {file = "pytest-8.0.2.tar.gz", hash = "sha256:d4051d623a2e0b7e51960ba963193b09ce6daeb9759a451844a21e4ddedfc1bd"}, ] [package.dependencies] @@ -232,13 +240,13 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no [[package]] name = "python-dateutil" -version = "2.8.2" +version = "2.9.0.post0" description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" files = [ - {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, - {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, + {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, + {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, ] [package.dependencies] @@ -291,4 +299,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.8" -content-hash = "c66eddbaae168736744a75af7b7541d45ffc7df2cbdbd8c4cc702601945c7f31" +content-hash = "df1b6caec948a9400f71eeec18b72a25a568f914c97da5e1eec035fdb1473726" diff --git a/pyproject.toml b/pyproject.toml index ef1d8b8..be8a5de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,8 +12,8 @@ include = [ [tool.poetry.dependencies] python = "^3.8" -pandas = ">=1.1.2" -numpy = ">=1.19.2" +pandas = ">=1.5.0,<3.0.0" +numpy = {version = "^1.26.1", python="^3.9,<3.13"} openpyxl = ">=3.0" [tool.poetry.group.dev.dependencies] From 23470d29c8b02dd37dfc9576b2e22b16be6fb797 Mon Sep 17 00:00:00 2001 From: Kah Young Date: Tue, 5 Mar 2024 12:54:03 -0500 Subject: [PATCH 3/4] Update pandas for 3.8-3.12 support and fix breaking test --- .gitignore | 3 + poetry.lock | 302 ------------------------- pyproject.toml | 12 +- tests/tools/test_adat_concatenation.py | 5 +- 4 files changed, 15 insertions(+), 307 deletions(-) delete mode 100644 poetry.lock diff --git a/.gitignore b/.gitignore index d2dbac0..c0f4084 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,6 @@ +# Poetry +poetry.lock + # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index a4d6bd7..0000000 --- a/poetry.lock +++ /dev/null @@ -1,302 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. - -[[package]] -name = "codespell" -version = "2.2.6" -description = "Codespell" -optional = false -python-versions = ">=3.8" -files = [ - {file = "codespell-2.2.6-py3-none-any.whl", hash = "sha256:9ee9a3e5df0990604013ac2a9f22fa8e57669c827124a2e961fe8a1da4cacc07"}, - {file = "codespell-2.2.6.tar.gz", hash = "sha256:a8c65d8eb3faa03deabab6b3bbe798bea72e1799c7e9e955d57eca4096abcff9"}, -] - -[package.extras] -dev = ["Pygments", "build", "chardet", "pre-commit", "pytest", "pytest-cov", "pytest-dependency", "ruff", "tomli", "twine"] -hard-encoding-detection = ["chardet"] -toml = ["tomli"] -types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency"] - -[[package]] -name = "colorama" -version = "0.4.6" -description = "Cross-platform colored terminal text." -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -files = [ - {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, - {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, -] - -[[package]] -name = "et-xmlfile" -version = "1.1.0" -description = "An implementation of lxml.xmlfile for the standard library" -optional = false -python-versions = ">=3.6" -files = [ - {file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"}, - {file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"}, -] - -[[package]] -name = "exceptiongroup" -version = "1.2.0" -description = "Backport of PEP 654 (exception groups)" -optional = false -python-versions = ">=3.7" -files = [ - {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, - {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, -] - -[package.extras] -test = ["pytest (>=6)"] - -[[package]] -name = "iniconfig" -version = "2.0.0" -description = "brain-dead simple config-ini parsing" -optional = false -python-versions = ">=3.7" -files = [ - {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, - {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, -] - -[[package]] -name = "numpy" -version = "1.26.4" -description = "Fundamental package for array computing in Python" -optional = false -python-versions = ">=3.9" -files = [ - {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, - {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, - {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"}, - {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"}, - {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"}, - {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"}, - {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"}, - {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"}, - {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"}, - {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"}, - {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"}, - {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"}, - {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"}, - {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"}, - {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"}, - {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"}, - {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"}, - {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"}, - {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"}, - {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"}, - {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"}, - {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"}, - {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"}, - {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"}, - {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"}, - {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"}, - {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"}, - {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"}, - {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"}, - {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"}, - {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"}, - {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"}, - {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"}, - {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"}, - {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"}, - {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"}, -] - -[[package]] -name = "openpyxl" -version = "3.1.2" -description = "A Python library to read/write Excel 2010 xlsx/xlsm files" -optional = false -python-versions = ">=3.6" -files = [ - {file = "openpyxl-3.1.2-py2.py3-none-any.whl", hash = "sha256:f91456ead12ab3c6c2e9491cf33ba6d08357d802192379bb482f1033ade496f5"}, - {file = "openpyxl-3.1.2.tar.gz", hash = "sha256:a6f5977418eff3b2d5500d54d9db50c8277a368436f4e4f8ddb1be3422870184"}, -] - -[package.dependencies] -et-xmlfile = "*" - -[[package]] -name = "packaging" -version = "23.2" -description = "Core utilities for Python packages" -optional = false -python-versions = ">=3.7" -files = [ - {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"}, - {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"}, -] - -[[package]] -name = "pandas" -version = "2.0.3" -description = "Powerful data structures for data analysis, time series, and statistics" -optional = false -python-versions = ">=3.8" -files = [ - {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"}, - {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"}, - {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"}, - {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"}, - {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"}, - {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"}, - {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"}, - {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"}, - {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"}, - {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"}, - {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"}, - {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"}, - {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"}, - {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"}, - {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"}, - {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"}, - {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"}, - {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"}, -] - -[package.dependencies] -numpy = [ - {version = ">=1.20.3", markers = "python_version < \"3.10\""}, - {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, -] -python-dateutil = ">=2.8.2" -pytz = ">=2020.1" -tzdata = ">=2022.1" - -[package.extras] -all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"] -aws = ["s3fs (>=2021.08.0)"] -clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"] -compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"] -computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"] -excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"] -feather = ["pyarrow (>=7.0.0)"] -fss = ["fsspec (>=2021.07.0)"] -gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"] -hdf5 = ["tables (>=3.6.1)"] -html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"] -mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"] -output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"] -parquet = ["pyarrow (>=7.0.0)"] -performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"] -plot = ["matplotlib (>=3.6.1)"] -postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"] -spss = ["pyreadstat (>=1.1.2)"] -sql-other = ["SQLAlchemy (>=1.4.16)"] -test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"] -xml = ["lxml (>=4.6.3)"] - -[[package]] -name = "pluggy" -version = "1.4.0" -description = "plugin and hook calling mechanisms for python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"}, - {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"}, -] - -[package.extras] -dev = ["pre-commit", "tox"] -testing = ["pytest", "pytest-benchmark"] - -[[package]] -name = "pytest" -version = "8.0.2" -description = "pytest: simple powerful testing with Python" -optional = false -python-versions = ">=3.8" -files = [ - {file = "pytest-8.0.2-py3-none-any.whl", hash = "sha256:edfaaef32ce5172d5466b5127b42e0d6d35ebbe4453f0e3505d96afd93f6b096"}, - {file = "pytest-8.0.2.tar.gz", hash = "sha256:d4051d623a2e0b7e51960ba963193b09ce6daeb9759a451844a21e4ddedfc1bd"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "sys_platform == \"win32\""} -exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} -iniconfig = "*" -packaging = "*" -pluggy = ">=1.3.0,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} - -[package.extras] -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] - -[[package]] -name = "python-dateutil" -version = "2.9.0.post0" -description = "Extensions to the standard Python datetime module" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -files = [ - {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, - {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, -] - -[package.dependencies] -six = ">=1.5" - -[[package]] -name = "pytz" -version = "2024.1" -description = "World timezone definitions, modern and historical" -optional = false -python-versions = "*" -files = [ - {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, - {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, -] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" -files = [ - {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, - {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, -] - -[[package]] -name = "tomli" -version = "2.0.1" -description = "A lil' TOML parser" -optional = false -python-versions = ">=3.7" -files = [ - {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, - {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, -] - -[[package]] -name = "tzdata" -version = "2024.1" -description = "Provider of IANA time zone data" -optional = false -python-versions = ">=2" -files = [ - {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, - {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, -] - -[metadata] -lock-version = "2.0" -python-versions = "^3.8" -content-hash = "df1b6caec948a9400f71eeec18b72a25a568f914c97da5e1eec035fdb1473726" diff --git a/pyproject.toml b/pyproject.toml index be8a5de..bfa36a4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,9 +12,15 @@ include = [ [tool.poetry.dependencies] python = "^3.8" -pandas = ">=1.5.0,<3.0.0" -numpy = {version = "^1.26.1", python="^3.9,<3.13"} -openpyxl = ">=3.0" +pandas = [ + {version = "<=2.0.3", python = ">=3.8, <3.12"}, + {version = "^2.2", python = ">=3.12"} +] +numpy = [ + {version = ">=1.19,<1.21", python = ">=3.8,<3.9"}, + {version = "^1.21", python = ">=3.9"} +] +openpyxl = "^3.0" [tool.poetry.group.dev.dependencies] pytest = "^8.0.1" diff --git a/tests/tools/test_adat_concatenation.py b/tests/tools/test_adat_concatenation.py index f60901a..4a880c3 100644 --- a/tests/tools/test_adat_concatenation.py +++ b/tests/tools/test_adat_concatenation.py @@ -317,10 +317,11 @@ def test_smart_adat_warnings(self): expected_warnings_regex = ( r'(Adding column to adat: \w+)|(Removing seqIds from \w{3}: \w, \w)' ) - for rec in records: + user_warnings = [rec for rec in records if rec.category == UserWarning] + for rec in user_warnings: self.assertRegex(rec.message.args[0], expected_warnings_regex) print(rec.message.args[0]) - self.assertEqual(7, len(records)) + self.assertEqual(7, len(user_warnings)) @pytest.mark.filterwarnings('ignore:Removing seqIds from') @pytest.mark.filterwarnings('ignore:Standard column,') From ba8d0d6ee6795d6f03b826c2bf09409ebddb1ec9 Mon Sep 17 00:00:00 2001 From: Ted Johnson Date: Thu, 7 Mar 2024 12:56:32 -0700 Subject: [PATCH 4/4] Update README image paths --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index b755ae7..d4868c2 100644 --- a/README.md +++ b/README.md @@ -6274,7 +6274,7 @@ plt.show() -![png](output_71_0.png) +![png](README_files/output_71_0.png) @@ -6704,7 +6704,7 @@ plt.show() -![png](output_84_0.png) +![png](README_files/output_84_0.png) @@ -7180,7 +7180,7 @@ plt.show() -![png](output_98_0.png) +![png](README_files/output_98_0.png)