{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "# Demo: Applying Quality Control\n", "In this example, we apply Quality Control (QC) to the demo data." ] }, { "cell_type": "code", "execution_count": 1, "id": "1", "metadata": {}, "outputs": [], "source": [ "import metobs_toolkit" ] }, { "cell_type": "markdown", "id": "2", "metadata": {}, "source": [ "## Create your dataset\n", "We start by creating a dataset." ] }, { "cell_type": "code", "execution_count": 2, "id": "3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "Luchtdruk is present in the datafile, but not found in the template! This column will be ignored.\n", "Neerslagintensiteit is present in the datafile, but not found in the template! This column will be ignored.\n", "Neerslagsom is present in the datafile, but not found in the template! This column will be ignored.\n", "Rukwind is present in the datafile, but not found in the template! This column will be ignored.\n", "Luchtdruk_Zeeniveau is present in the datafile, but not found in the template! This column will be ignored.\n", "Globe Temperatuur is present in the datafile, but not found in the template! This column will be ignored.\n", "The following columns are present in the data file, but not in the template! They are skipped!\n", " ['Luchtdruk_Zeeniveau', 'Luchtdruk', 'Globe Temperatuur', 'Neerslagintensiteit', 'Rukwind', 'Neerslagsom']\n", "The following columns are found in the metadata, but not in the template and are therefore ignored: \n", "['Network', 'benaming', 'sponsor', 'stad']\n" ] } ], "source": [ "\n", "# Create the dataset and import data using the demo files\n", "dataset = metobs_toolkit.Dataset()\n", "dataset.import_data_from_file(\n", " template_file=metobs_toolkit.demo_template,\n", " input_data_file=metobs_toolkit.demo_datafile,\n", " input_metadata_file=metobs_toolkit.demo_metadatafile,\n", ")" ] }, { "cell_type": "markdown", "id": "4", "metadata": {}, "source": [ "When importing raw data, two quality control checks are applied by default:\n", "\n", "* Duplicate timestamp check: The timestamps are checked for duplicates.\n", "* Invalid value check: All observations are cast to numeric values. If a raw value cannot be converted to a numeric value, the timestamp is ignored. This results in a gap.\n", "\n", "We can inspect the outliers at any time using the ``.outliersdf`` attribute." ] }, { "cell_type": "code", "execution_count": 3, "id": "5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "('datetime', 'obstype', 'name')", "rawType": "object", "type": "string" }, { "name": "value", "rawType": "object", "type": "string" }, { "name": "label", "rawType": "object", "type": "string" }, { "name": "details", "rawType": "object", "type": "string" } ], "ref": "de3bfd4d-b333-40bf-b4fe-9a91b9fc1f1e", "rows": [], "shape": { "columns": 3, "rows": 0 } }, "text/html": [ "
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" ], "text/plain": [ "Empty DataFrame\n", "Columns: [value, label, details]\n", "Index: []" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.outliersdf" ] }, { "cell_type": "markdown", "id": "6", "metadata": {}, "source": [ "An empty outliers dataframe indicates that no outliers have been found yet." ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "## Quality Control Checks\n", "\n", "In the MetObs-toolkit, a set of quality-control checks is implemented. Each check aims to find outliers using different techniques. In general, we can group QC checks into two categories: individual checks and social checks. Individual checks take only the time series under investigation into account. Social checks use time series from other sensors to assess the quality of a target time series.\n", "\n", "The following individual checks are available:\n", "\n", "* ``Dataset.gross_value_check()``: Checks whether observations fall between given thresholds.\n", "* ``Dataset.persistence_check()``: Tests whether observations change over a specific period.\n", "* ``Dataset.repetitions_check()``: Tests whether an observation remains unchanged for several records.\n", "* ``Dataset.step_check()``: Tests whether observations produce unrealistic spikes in the time series.\n", "* ``Dataset.window_variation_check()``: Tests whether the variation exceeds the threshold within moving time windows.\n", "\n", "*Note*: For a detailed description, see the API documentation for these methods.\n", "*Note*: All these checks can be applied to ``Dataset`` and ``Station`` objects.\n", "\n", "The following social checks are available:\n", "* ``Dataset.buddy_check()``: Spatial buddy check.\n", "* ``Dataset.buddy_check_with_safetynets()``: Spatial buddy check with safety nets.\n", "\n", "*Note*: Social checks can only be applied to ``Dataset`` objects." ] }, { "cell_type": "markdown", "id": "8", "metadata": {}, "source": [ "### QC pipeline on temperature observations\n", "\n", "As an example, we apply a QC pipeline to temperature observations. Since some checks depend on the time resolution, it is highly recommended to resample your data before applying QC." ] }, { "cell_type": "code", "execution_count": 4, "id": "9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "The present gaps are removed, new gaps are constructed for wind_direction data of station vlinder02..\n", "The present gaps are removed, new gaps are constructed for wind_speed data of station vlinder02..\n", "The present gaps are removed, new gaps are constructed for humidity data of station vlinder02..\n", "The present gaps are removed, new gaps are constructed for temp data of station vlinder02..\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/qc_collection/checks/repetitions_check.py:88: FutureWarning: When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n", " groups.get_group(\n" ] } ], "source": [ "target = 'temp'\n", "\n", "# Resampling\n", "dataset.resample(target_freq='10min')\n", "\n", "# 1. gross value check\n", "dataset.gross_value_check(\n", " obstype=target,\n", " lower_threshold=-10.0,\n", " upper_threshold=26.3)\n", "\n", "# 2. persistence check\n", "dataset.persistence_check(\n", " obstype=target,\n", " timewindow='60min',\n", " min_records_per_window=3)\n", "\n", "# 3. repetitions check\n", "dataset.repetitions_check(\n", " obstype=target,\n", " max_N_repetitions=5\n", ")\n", "\n", "# 4. step check\n", "dataset.step_check(\n", " obstype=target,\n", " max_increase_per_second = 8.0 / 3600.0, # depends on the standard unit!\n", " max_decrease_per_second = -10.0 / 3600.0) # depends on the standard unit!\n", "\n", "# 5. window variation check\n", "dataset.window_variation_check(\n", " obstype=target,\n", " timewindow='60min',\n", " min_records_per_window=3,\n", " max_increase_per_second=8.0 / 3600.0, # depends on the standard unit!\n", " max_decrease_per_second = -10.0 / 3600.0, # depends on the standard unit!\n", " )" ] }, { "cell_type": "code", "execution_count": 5, "id": "10", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# 6. buddy check\n", "\n", "# Note: This check can only be applied to a Dataset\n", "dataset.buddy_check(\n", " obstype=target,\n", " # main check settings\n", " spatial_buddy_radius=15000, # 15 km definition of buddy radius\n", " spatial_z_threshold=2.0, # outlier threshold\n", " # requirements\n", " min_sample_size=5,\n", " max_alt_diff=None, # Maximum elevation difference between stations\n", " N_iter=3, # Number of iterations\n", " instantaneous_tolerance='4min', # Maximum timestamp tolerance for 'at the same time'\n", " lapserate=None, # Specify the variation with altitude; if None, no correction is applied\n", " min_sample_spread=1.0, # Minimum spread of the sample (in the same unit as the observations)\n", " use_z_robust_method= True, # Use a robust method for score calculations (median based)\n", ")" ] }, { "cell_type": "markdown", "id": "ece6dc6c", "metadata": {}, "source": [ "*Note*: ``Dataset.buddy_check()`` and ``Dataset.buddy_check_with_safetynets()`` are complex methods. For a full explanation, see the API documentation for these methods." ] }, { "cell_type": "markdown", "id": "11", "metadata": {}, "source": [ "Each check tests all temperature observation records and may mark some of them as outliers. These outliers are not checked by the next QC check.\n", "\n", "When a record is marked as an outlier:\n", "* It is added to the set of outliers. (See ``Dataset.outliersdf``.)\n", "* Its value is set to NaN in the time series. (See ``Dataset.df``.)" ] }, { "cell_type": "code", "execution_count": 6, "id": "12", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "('datetime', 'obstype', 'name')", "rawType": "object", "type": "unknown" }, { "name": "value", "rawType": "float32", "type": "float" }, { "name": "label", "rawType": "object", "type": "string" }, { "name": "details", "rawType": "object", "type": "string" } ], "ref": "a1f3ca65-1098-4c4c-ab7a-96a5003feb12", "rows": [ [ "(Timestamp('2022-09-01 00:00:00+0000', tz='UTC'), 'temp', 'vlinder05')", "21.1", "persistence outlier", "constant values in timewindow of 0 days 01:00:00" ], [ "(Timestamp('2022-09-01 00:10:00+0000', tz='UTC'), 'temp', 'vlinder05')", "21.1", "persistence outlier", "constant values in timewindow of 0 days 01:00:00" ], [ "(Timestamp('2022-09-01 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2022-09-01 00:00:00+00:0021.1persistence outlier
2022-09-01 00:10:00+00:0021.1persistence outlier
2022-09-01 00:20:00+00:0021.1persistence outlier
2022-09-01 00:30:00+00:0021.1persistence outlier
2022-09-01 00:40:00+00:0021.1persistence outlier
.........
2022-09-15 23:10:00+00:0017.4persistence outlier
2022-09-15 23:20:00+00:0017.4persistence outlier
2022-09-15 23:30:00+00:0017.4persistence outlier
2022-09-15 23:40:00+00:0017.4persistence outlier
2022-09-15 23:50:00+00:0017.4persistence outlier
\n", "

2160 rows × 2 columns

\n", "
" ], "text/plain": [ " value label\n", "datetime \n", "2022-09-01 00:00:00+00:00 21.1 persistence outlier\n", "2022-09-01 00:10:00+00:00 21.1 persistence outlier\n", "2022-09-01 00:20:00+00:00 21.1 persistence outlier\n", "2022-09-01 00:30:00+00:00 21.1 persistence outlier\n", "2022-09-01 00:40:00+00:00 21.1 persistence outlier\n", "... ... ...\n", "2022-09-15 23:10:00+00:00 17.4 persistence outlier\n", "2022-09-15 23:20:00+00:00 17.4 persistence outlier\n", "2022-09-15 23:30:00+00:00 17.4 persistence outlier\n", "2022-09-15 23:40:00+00:00 17.4 persistence outlier\n", "2022-09-15 23:50:00+00:00 17.4 persistence outlier\n", "\n", "[2160 rows x 2 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Values are set to NaN in the time series\n", "\n", "# Filter to temperature records of a problematic station as an illustration.\n", "dataset.df.xs('vlinder05', level='name').xs('temp', level='obstype')" ] }, { "cell_type": "markdown", "id": "14", "metadata": {}, "source": [ "We can visually inspect the effect of QC by plotting the time series and setting ``colorby='label'``." ] }, { "cell_type": "code", "execution_count": 8, "id": "15", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dataset.make_plot(obstype=target,\n", " colorby='label',\n", " title='Timeseries after QC pipeline is applied on temperature')" ] }, { "cell_type": "markdown", "id": "16", "metadata": {}, "source": [ "If you are interested in the performance of the applied QC, you can use the ``get_qc_stats()`` method to get an overview of the summary statistics." ] }, { "cell_type": "code", "execution_count": 9, "id": "17", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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JiX+HDh1SnH/z5k3HY/J3/n2SYipVqlSyx5OVUo59qVu3brLPudVqVQUKFFCAOn36tNO8pEQwpcdslVKqW7duClBDhw5Na7cdYmNjHS28/21VVCrxRkJSi/23337rNC+tlvO4uDiVL18+BTjdRLube0myZ82apQDl4eGR7vUfOXJEAapOnTrJ5qUnyU5L0lMIBw4ccExbtGiRAtSzzz6brnWsWrXK0Yqb0lNfdrtdVa9eXQFON1KyKsnOSL2m1L831t95551kyzz//PMKUKNHj3aaXq9ePQWoH3/8McVtJR3Lbt26OU2XJFuInEFefCZELqCUcvxst9sNjCS57t27pzh9xYoVAPTq1SvF+cWLF6dChQpcuXLF8dbzXbt2cfPmTfz9/WnTpk2yZYoUKUKrVq0yKXLQdZ1Vq1alGWdoaCje3t7s3r2buLi4ZPNTe5NvlSpVADh37pxj2l9//cWVK1fw9/enS5cu6YqxTp061K9fn2PHjvHbb785xT5r1iwg8SV66VW3bl0A+vXrxx9//JFp4+vGx8ezbNkyxo0bx1NPPcXgwYMZNGgQs2fPBuDIkSOZsh3Iun34r4sXL7Jnzx5MJhNDhgxJd2xRUVEMGDCAv/76C13XM7Tts2fPcuLECQAGDhyYbL6maQwePBiADRs2ZGgbGXG377W3tzehoaHYbDZ27tyZbH7z5s1xd3dPNj3pJW1t27ZNNqybxWIhMDAQSByeLCUpHaM7p6d3SLKwsDBu3bpFgQIFUvxue3p60rt3byD1457Scm5ubpQtWxZwPidkpqTPWkrD4tntdtatW8ebb77J008/7fh+vv3228D9fT+PHz/Oxx9/zPPPP8+QIUMYNGgQgwYN4tKlS8nWXatWLcxmM1999RUzZ87kwoULaa476fPWrVs3LJbkA+KYTCaaNGkCJI4Nn9UyUq8Bju/q119/7VTearU6RgB4/PHHHdMjIyPZsWMHHh4eqdYxScOTZcd+CyHunQzhJYQB/P39ARwXIXdz+fJlx8+FChVy+j9pfqVKlTIxwvRLuvj9r5MnTwLQuHHju67jypUrVKxYkbNnz6a5ToAyZcrcc4ypuXr1quNNvCVLlkxX+eLFiztNS+3N10lveb8zMT99+jQAlSpVuqfxoZ999lm2bt3Kxx9/7Lj5sHz5ck6fPk3NmjVp0KBButc1efJk9u3bx6pVq1i1ahUeHh7UqlWLZs2a0a9fP8fNgXuxbds2evXq5XirdUoy843HWbEPKUnan6JFi6b7reOffPIJHTp0YP78+cyfPx8fHx/q1KlDixYt6N+/f7rflJ6UiBUsWDDFEQMgcezkO8tmh6Tvdf/+/enfv3+aZa9cuZJsWmr77+3tneZ8Hx8fgBRvdEHq54Wk6UnnlrtJOpZpnWfudtzv5ZyQmSIjIwEoUKCA0/Rjx47RpUsXDhw4kOqyGfl+2u12nnnmGWbPnu10IzitdZcrV44PPviAl156iWeeeYZnnnmG0qVLU79+fTp06ECPHj1wdXV1lE/6vI0dO5axY8emGU9Kn7fMlpF6DRIT4rJly3LkyBG2bNniOGcvX76cK1euUK9ePafz1qlTp1BKERsbi5ub2123I4TIeSTJFsIAtWvX5ptvvmHXrl3YbLYU79DfaceOHQDky5fPcfEXGBhIgQIFuHbtGjt37kxXpZ8VPDw8Upye1KrSvXt3vLy80lxHwYIFMz2u1OJJbVpqLWF3Sulix2TK+geCunfvzujRo1m1ahWnTp2iTJkyzJw5E7i3VmxIfBogLCyMTZs2sXbtWv7880+2b9/On3/+yTvvvMPkyZN55ZVX0r2+mJgYOnfuzKVLlxg8eDDDhw+nfPny+Pr6YjabOXr0KJUqVUrzIvxeZfY+ZKYqVapw5MgRVq9ezfr169myZQubN29m/fr1TJo0iS+//JLHHnvMkNgyQ9J3pk2bNgQEBKRZtnTp0smm3e37klXfp8z8/N1NdpwTUrJr1y4AgoKCnKZ3796dAwcO0KFDB15++WWqVq2Kr68vLi4uJCQk3DWJS82HH37IrFmzKFKkCNOnT6dBgwYEBAQ4nlTo27cvCxYsSHbsR44cSc+ePVm6dCl//PEHf/zxB99//z3ff/8948ePZ/PmzY7x6pM+b40aNXLc3EjNf4fBzAoZrdc0TWPQoEGMGzeOuXPnOpLsOXPmAP+2dP93O97e3nTr1i3T4hdCZB9JsoUwQMeOHRk1ahRRUVH88ssvaVaiSinmz58PQKdOnRwXcCaTiY4dO/L1118zb948XnzxxWyJPb1KlizJsWPHeOWVVwgNDU3XMkmtxBEREamWSW1eUuvHzZs3U5yf1Ip8J39/fzw8PIiNjWXatGmOJwyySlIL19GjR1FKpbs122KxMHz4cN544w0++eQThg4dypo1ayhQoAB9+vS55zg0TaNZs2aOxw3j4uKYO3cuI0aM4LXXXqN79+53vaBN8vvvv3Pp0iVq1arFV199lWz+nY9MZqbM3IfUJP29Lly4QFRUVLpbsy0WC+3ataNdu3ZAYkve9OnTmThxIk8++SRdunS56wV60nch6WmLlFqzk1rV/vt0RVYqWbIkhw8fZsiQIal2FTHCqVOnqFGjRrLpSeeLEiVKpGs9Scfy1KlTqZYx4rjfTWRkpKM7yZ1dag4fPsy+ffsoXLgwP//8c7Ibuvfz/Vy0aBEAs2fP5tFHH002P611BwQEMHToUIYOHeqI8/HHH2fr1q2MGTPG8Vh10hNGnTp1YvTo0RmONbNkpF5LMnDgQCZMmMDChQv58MMPiY6OdjyJk9QF4c7tQOJ57quvvjLsxo0QIuPkWyuEAcqVK0fPnj0BeOmll7hx40aqZT/55BP27duHq6srL7/8stO8V155BRcXF/bu3cuMGTPuut3NmzffT9j3pG3btsC/F2LpUbt2bby9vYmMjGT16tXJ5l+6dCnF6fDvBe+hQ4eSzVNKOfpe38lsNvPII4/cc5wZFRoair+/P1euXGHJkiX3tOyTTz6Ju7s7X331Fe+//z5KKYYMGZLqkwT3wt3dnaeeeorg4GB0XWffvn2OeUk3L1Lr93zt2jUg9Udkv/nmm1S36+Likua678X97ENqihQpQo0aNdB1PcUbCOnl6+vLhAkT8PPzIyYmhqNHj951mRIlSjhuEsydOzfZfKWUY3rz5s0zHNt/3e1YZeR7nR2SbkT+17x584B/+6/eTdI7GK5du8bSpUuTzY+NjeX7778HMve43w+lFM888wyxsbEUKFDA6f0BSd/PYsWKpfjEVFrfz/R+91N6YuHAgQPs2bMn3ftQuXJlx9Mndy6X9Hn74Ycf7ulphIx+5+/mfj7/pUqVomXLlkRHR/PTTz/xzTffYLPZ6Nq1a7IbeMWKFSM4OJibN2/y66+/ZkrsQojsJUm2EAaZOXMmgYGBnDp1ihYtWiTrL2ez2Zg+fTrPPfccAJ999lmyx+GqVKnC9OnTAXjxxRd57bXXUmzJPXr0KH369OHZZ5/Nor1J7qWXXsLPz4/p06fz/vvvk5CQkKzMqVOnnC7yPDw8GDZsGAAvvPCC00txYmNjGT58OLGxsSlu7+GHHwYSL7YPHjzomG61WnnllVdSfAkTwPjx43F1deWll17i66+/TvGx8vDwcH766ad07HXaLBYLr7/+OgDDhg3j999/T1Zm586dKfYf9ff3p2/fvly7do3PPvsMk8nE008/fc8xTJs2LcW+04cPH3a0PN150ZzUAnjnMb1TUj/CdevWJSvz2WefsXDhwlRjSVp3Wn1FU5LZ+5CW8ePHA/D666+zePHiZPMPHjzouLETExPD9OnTU+wjuXnzZm7cuIHZbE53q2pSy92bb77J3r17HdOVUrz11lvs2bMHPz8/R2tgZrjb32TYsGGULl2aH374gVdeeSXF883Fixf5/PPPMy2m9Pj5558dyW+SH3/8kcWLF2OxWBg5cmS61uPu7s6IESMAGDVqlNMTMFarleeee46LFy9SpkyZHNGSv2/fPtq1a8fChQsxm8188803jv7rABUrVsRsNrN///5kL39btmwZH3zwQarrvttnIem7P3PmTKfz5oULFxgwYECKCe769etZuXIlVqvVabpSiuXLlwPO391OnTpRp04dduzYweDBg1P8bl2/fp1Zs2Y5bS8p9mPHjiXb1v3ISL12p6SXm82ZMyfVR8WTvPXWW475y5YtSzZfKcX27dtTvfH8Xzt27KBy5cpUrlw5XeWFEPcp+19oLoRIcubMGVW7dm3HOK916tRRvXv3Vo8++qhjqCdfX181e/bsNNfz1VdfKS8vL8d4vk2aNFF9+vRRXbp0UVWqVHEMLZPeIcOUSv8QXmnZtGmT8vf3V4AqXLiwatGiherXr5/q0KGDY3iievXqOS1z69YtVbduXQUob29v1bFjR9WjRw9VpEgRVbBgQTVgwIBU40oaR9vDw0M98sgj6tFHH1UlSpRQvr6+6rnnnkt1KJxFixYpT09PxxizrVq1Uv369VNt27Z1jEXaq1cvp2XuNkxKasdP13X11FNPOY5fzZo1Ve/evVW7du1U2bJl01znnj17HMt17NgxtcOepqRhhCpXrqy6dOmi+vbtq5o1a6YsFosC1IABA5zKx8fHq2LFijliHTBggBoyZIjTuLpJx93V1VW1atVK9e7dW1WuXFlpmqZef/11BajSpUsniyVpTHR/f3/Vs2dPNWTIEDVkyBDHOLmpDcOTFfuQ1hBwb7/9ttI0zbHNXr16qUcffdQxlFjSMtevX1eAMplMqkaNGqp79+6qT58+qn79+o7lx40bl+6/la7rjqF/LBaLatmyperTp4+qVKmS43O+cuXKZMvdzxBey5cvd/wtO3TooB5//HE1ZMgQ9eeffzrKhIeHq8DAQAWJY0I3adJE9e3bV3Xu3FlVrVpVaZqmAgIC7immuw3Bl9r3LWmYqaRhkOrUqaP69u3rGP4IUh5jPi1xcXGqZcuWjmPcrl071atXL1WqVCkFiWPch4WFJVvubufEjAytlHRcypUrpwYOHKgGDhyo+vXrp9q3b+/Yd0gct3v9+vUpriPp3GcymVTTpk1Vnz59VK1atRQkjnWeWtwff/yx4zzctWtXx/czacjIbdu2KVdXVwWJY5j37NlTtWnTRnl4eKhq1aqpLl26JPubfvDBB456rVmzZqpv376qS5cujn3Jly+f05jwSil17tw5x1B6Xl5eqkGDBqp3796qa9euKiQkRJnNZgUkGxouNDRUAapSpUqqX79+asiQIeqVV15J13FPa9i/jNRrSWJjY1X+/PkdxzwwMDDZkHV3+vDDDx3ntfLly6v27durvn37qkceeUQVLlxYAcn2KbXPWdL5VC79hcge8k0TwmB2u1199913qlOnTqpYsWLKxcXFURF6enqq48ePp2s9V65cUW+99ZZq3LixKlSokLJYLMrb21tVr15dDRs2TG3atOme4sqMJFsppS5duqTGjh2ratWqpXx8fJSrq6sqUaKEatCggRo/frzat29fsmVu376txo4dq8qVK6dcXV1VQECA6tevnzp16lSaccXFxak33nhDlS1bVrm4uKjChQurPn36qOPHj991rORTp06pF154QVWvXl15eXkpd3d3Vbp0adWsWTP17rvvJvs7ZDTJTrJq1SrVqVMnFRAQ4BhXtW7dumrixInq6tWrqR7PIkWKKED99ttvqZZJyzfffKMGDx6sqlevrgoUKKDc3NxU6dKlVdu2bdXPP/+c4gXf/v37HTd+TCZTssQ3ISFBvffeeyooKEh5enqqAgUKqFatWqnVq1erU6dOpZpkx8bGqpdfflmVL1/ecbHOHePyppZkZ8U+3C3J27p1q+rTp48qXry4cnFxUQUKFFA1atRQL7/8smPsZqvVqmbNmqX69OmjKleurPLly6c8PDxUuXLlVLdu3dS6devS/Nuk5rvvvlPNmjVTfn5+ysXFRZUsWVINGjTIkez81/0k2Uop9fnnn6tatWo5bjyldFyio6PV1KlTVf369R1xFS1aVNWpU0e99NJLasuWLfcU0/0m2adOnVKLFi1S9evXV97e3srLy0s1btxYLVu2LEPHwGq1qk8++UQ99NBDjvNWuXLl1MiRI9XZs2dTXCYrk+w7/7m5uanChQur2rVrq6FDh6pffvklxTGkk+i6rr788ktVu3Zt5e3trfLly6caNWqkvv/++zTjttvtavLkyapatWrK3d3dUe7O+Pft26ceffRRVbRoUeXu7q4qVKigXn75ZRUdHZ3i3/T48eNqwoQJqmXLlqpUqVLK3d1d5c+fXwUHB6sxY8aoM2fOpLgPcXFxatasWap58+aqYMGCymKxqMKFC6uQkBA1YsSIFM+Hp0+fVn379lVFixZ1JKopnYdScrf6IiP1WpKnn37acSzT8x3dv3+/GjZsmKpQoYJyd3dXnp6eqmzZsqp169bqf//7nzp37pxTeUmyhcgZNKWy8ZWbQoh0iYqKonnz5uzevZtWrVqxdOnSDL8BNq+ZMGECEydOZPz48UyYMMHocLLV2rVreeSRR6hUqRKHDh26p2HAhMiLAgMDOX36NKdOnUpz6D8hhBAiO0mfbCFyoHz58vHbb79RpUoVVq9eTa9evTL9BS4id7Hb7Y7+wS+++KIk2EIIIYQQOZQM4SVEDlWoUCHWrl3L559/jlKKv/76i3r16hkdlshmc+bM4ffffycsLIzw8HCCgoIcL88RQgghhBA5jyTZQuRgxYoVc7ReigfTpk2b+Prrr/Hz86NLly7MmDEjxaF4hBBCCCFEziB9soUQQgghhBBCiEwifbKFEEIIIYQQQohMIkm2EEIIIYQQQgiRSSTJFkIIIYQQQgghMokk2UIIIYQQQgghRCaRJFsIIYQQQgghhMgkkmQLIYQQQgghhBCZRJJsIYQQQgghhBAik0iSLYQQQgghhBBCZBJJsoUQQgghhBBCiEwiSbbI9SZMmICmaWzcuDHLtqFpGs2aNUt3+ejoaJ577jnKlCmDi4sLmqaxZ8+eLIvvQREYGEhgYKDRYQghRK6S0rlz7ty5aJrG3LlzDYkpN9q4cSOapjFhwoRk81avXk3Dhg3Jnz8/mqbRuXNnAJo1a4amaVkSj1xrZA251hCZwWJ0AOLBEBERQZkyZWjdujW//vqr0eFkuZdffpnZs2fToUMHHnvsMcxmM0WKFDE6LCGEENlsw4YNzJo1iy1btnD58mW8vLyoWrUq3bp1Y/jw4bi7u9/3NgYNGsTXX3/NqVOnJDkwQEREBJ06dcLPz4/Bgwfj6+tL5cqVs3y7cq0hRM4lSbYQWWD58uVUrFiRZcuWGR1KnrJu3TqjQxBCiHSx2WyMGDGCzz77DC8vL9q2bUv58uWJiopi9erVvPjii8yaNYsVK1ZQvnz5bI+vS5cuPPTQQxQtWjTbt51b1a1bl0OHDuHv7+80fe3atcTFxfH+++/Tt29fp3nz5s0jJiYmS+KRa42sIdcaIjNIki1EFjh//jxNmjQxOow8p1y5ckaHIIQQ6fLqq6/y2WefUadOHX7++WeKFy/umGe325k0aRKTJk2iTZs27Nq1C19f32yNL1++fOTLly9bt5nbeXp6pthCff78eQCKFSuWbF6pUqWyLB651sgacq0hMoP0yRY5TlRUFFOmTKFp06YUK1YMV1dXihUrxoABAzhx4kSay3755ZcEBQXh7u5O8eLFeeGFF7h582aKZfft20fv3r0pWrQorq6ulC5dmpEjR3L16tUMxz5o0CA0TUMpxaZNm9A0zak/95194JYtW0bDhg3x8fFxerwvISGB6dOnU6tWLby8vPDx8aFx48YsXbo0xW2eOXOGPn36UKBAAby9vWnatCm///57in3V0+qDl1Zfs1OnTvHEE09QqlQp3NzcKFq0KIMGDeL06dPJyibt76VLlxg4cCD+/v54eHjw0EMPpdpv/ubNm0ycOJHg4GA8PT3Jly8fNWvWZOzYsVitVke51PpJKaX46quvaNiwIb6+vnh6ehIaGspXX32VrGxSa0ONGjXIly8fXl5eBAYG0rNnT/bu3ZtifEIIcS+OHj3K9OnTKVCgAMuWLXNKsAHMZjMTJ06kb9++nDhxgmnTpjnNT+s9IP89DwYGBvL1118DUKZMmWT1TmrSqg8ycs4/d+4cAwYMoEiRIphMpru+JyUqKopx48ZRtWpVvL298fX1pXz58gwcONBpO3fWZVlZx+/du5d+/fpRokQJxz63adPGqZX4v/VkREQEmqYxfvx4AJo3b+44/kn7n1af7F9++YVWrVpRsGBB3N3dCQwMpH///oSHh6d57ORaQ641RM4nLdkixzl06BDjxo2jefPmdOnSBS8vLw4fPsx3333HihUr2LVrF6VLl0623PTp01m3bh29evWiffv2rF27lhkzZrBt2zZ+//13XFxcHGWXLl1Kz549MZlMdOrUiZIlS3Lw4EE+/vhjfvvtN7Zv307+/PnvOfbOnTsTGBjIxIkTKV26NIMGDQJIdrL+4YcfWL16NR06dODpp58mOjoagPj4eNq0acPGjRsJCQlhyJAhWK1WVqxYQadOnfjoo4945plnHOu5cOEC9evX59y5c7Ru3ZpatWpx6NAhHnnkEZo3b37P8adk+/bttG7dmtu3b9OhQwcqVKhAREQE3377LatWrWLr1q2ULVvWaZkbN27QqFEj8uXLR//+/bl8+TILFy6kdevW/PXXX1SvXt1R9vLlyzRt2pTDhw8TEhLC8OHD0XWdw4cPM2XKFEaNGoWfn1+q8Sml6NevHwsWLKBChQr07dsXV1dX1qxZw5AhQzh48KDTBezAgQNZtGgRwcHBDB48GDc3N86cOcOGDRvYuXMnNWrUyJTjJoR4cH399dfous6wYcMICAhItdzYsWP57rvv+Oqrr5g0aVKGtvX8888zd+5c9u7dy3PPPec4X2a0b3ZGzvlXr16lfv36FChQgN69exMXF5dmy7xSitatW7N9+3YaNmxImzZtMJlMnD59mqVLl9K/f/9k9XxW1vGLFy+mb9++KKXo2LEjlSpV4vLly2zfvp0vv/ySjh07prgffn5+jB8/no0bN7Jp0yYGDhzoOO53O/6jRo1y3Ijp3LkzhQsX5syZM6xdu5batWs71ZP/JdcaieRaQ+RoSohscOrUKQWo1q1b37XsjRs31NWrV5NNX79+vTKZTOqJJ55wmj5+/HgFKFdXV7V3717HdF3XVd++fRWgpk2b5pgeGRmpfH19VfHixVVERITTuhYsWKAA9cwzzzhNB1TTpk3Ts6tplp8zZ44ClMlkUmvWrEk2/7XXXlOAGjt2rNJ13TE9OjpahYaGKldXV3Xu3DnH9IEDBypAvfXWW07rmT17tgIUoDZs2JBs+3PmzEm27Q0bNihAjR8/3jEtISFBBQYGKh8fH7Vr1y6n8ps3b1Zms1l16NAh2b4D6umnn1Z2u90x/YsvvlCAevLJJ53Kd+vWTQHqtddeSxbTxYsXldVqdfxeunRpVbp0aacyn332mQLU4MGDVUJCgmN6fHy86tixowJUWFiYUirxs6Vpmqpdu7ay2WxO67HZbOr69evJYhBCiHvVrFkzBaR4nv+vYsWKKUD9/fffjmlp1TkpnQeT6oJTp06le5mU6oP7OecPHjw42Xk1Nfv27VOA6ty5c7J5cXFx6ubNm47fs7qOv3jxovLy8lJeXl7J9lkppc6cOeP4OaV68s4Y76xvkzRt2lT993J72bJlClBBQUEqMjLSaZ7ValUXL15Mtp6UyLWGXGuInEuSbJEt7iXJTktQUJAKDAx0mpZUuf03+VZKqYiICGU2m1X16tUd06ZPn64ANW/evBS3UatWLeXv7+80LbOT7C5duiSbZ7fbVf78+VW5cuWcKr0kS5cuVYD66KOPlFKJJ3Z3d3dVuHBhFRsbm2xdFSpUuO+K76efflKAmjRpUor72bVrV2UymVRUVJTTvnt5eTldJCmVeOFgsVhUrVq1HNMuXLigNE1T5cqVc6q0UpNSxRccHKy8vLxUTExMsvJJF3KjRo1SSikVFRWlANWwYcMUj7EQQmSGypUrK0AdPnz4rmXr1aunALV9+3bHNKOS7Iye811dXdWVK1dS3cf/Sjo39+nT565ls7qOnzJligLUuHHj7hpLZiXZbdu2VYBav379XbeZFrnWkGsNkXPJ4+IiR9q4cSMzZsxg+/btREZGYrPZHPNcXV1TXKZx48bJppUuXZqSJUty4MABEhIScHV1Zdu2bUDio0kp9fGOi4sjMjKSyMjIZG8QzSx169ZNNu3IkSNcv36dYsWKMXHixGTzr1y5AsDhw4cd5ePi4mjRokWyIWBMJhMNGzbk2LFj9xVn0rE6cuRIiv2nLl68iK7rHD16lNDQUMf0ihUr4u3t7VTWYrEQEBDAjRs3HNPCwsJQStG8eXOnR/3SKyYmhv3791OsWDGmTJmSbH5SH6ukY+br60u7du1YuXIltWrVokePHjRr1ow6depkaPtCCJGXZPScX6ZMmXuqL6tUqUJwcDALFizg7NmzdO7cmWbNmhESEoLJlPLrgrKqjt+xYwcArVq1Snf892vHjh24ubnRtGnTLN2OXGskkmsNYQRJskWO88MPP9CrVy+8vb1p3bo1gYGBeHp6Ol6ikdILMIBU+70FBAQQERHBzZs3KViwINeuXQNg5syZacZx+/btLEuyU4o1Ka4DBw5w4MCBNOOCxJfGABQuXDjd27hXSTF9++23aZZLiilJan3xLBYLdrvd8XvSPvz3pUDpdf36dZRSnDt3LsWLhZTi++GHH3jnnXf47rvveP311x3xDh48mHfeeQdPT88MxSKEEEmKFCnC4cOHOXPmDJUqVUqz7JkzZwByxFBaGT3n32t9Y7FYWL9+PRMmTGDx4sWMGjUKgEKFCvHMM8/w+uuvYzab07WN+63j77ceyoioqCiKFy+e6g2FzCLXGonkWkMYQd4uLnKcCRMm4O7uzl9//cUPP/zAe++9x8SJEx3TU3Pp0qVUp2uaho+PD/DvSXn//v2oxC4TKf5L6eVqmSWlN40mxdWtW7c045ozZw6AY+iVy5cvp7iNlI5HUoV+55MBSZIqoZRiWrZsWZoxZfRufNJLRs6dO5eh5ZPiq127dprxbdiwwbGMp6cnb731FidPnuTkyZN8+eWXVKpUiQ8//JAXXnghQ3EIIcSdGjRoANx9vN3Dhw9z/vx5ihcvTsmSJR3TNU1L8TwNKZ+rM0tGz/mpvT07LQULFuSjjz7i3LlzjpeSFShQgPHjxzN16tRk5bOqjr/feigj/Pz8HK2zWUmuNRLJtYYwgiTZIsc5ceIEVapUoUKFCk7TL1y4wMmTJ1NdbvPmzcmmnT59mjNnzlCtWjXHY+b16tUDYOvWrZkY9f2rUqUKvr6+hIWFOQ0lkZqKFSvi7u5OWFgYcXFxTvN0XWfLli3Jlkl6m2pKFc3u3buTTcvqYxUaGorJZGLDhg3p2uf/8vHxoUqVKhw6dMjp0bD0KlOmDI8//jibNm3C29s71aFLhBDiXgwYMACTycTnn3/uePw2JW+//TYAjz/+uNP0/Pnzp3iejoiISPFcl9Tqe2frXUYYUT9qmkaVKlUYMWIEa9asAUjxXJxVdXzSI9WrV6/OUPwZUbduXeLj49m0aVO2bTOJXGvItYbIHpJkixyndOnSHD9+3OnuaFxcHMOHD0/z5Dhv3jz27dvn+F0pxWuvvYbdbncMbwEwePBgfHx8eP3111N8VComJsbRPyg7WSwWhg8fzunTpxk9enSK+xoeHu64m+zm5kbPnj25fPky77//vlO5L774gqNHjyZbvnbt2miaxvfff+9UWR47dowPP/wwWflOnTpRqlQppk+fzu+//55svtVq5Y8//rjnfU0SEBBAt27dOHHiRIqPYF2+fDnV1pwkzz77LDExMQwdOjTZo2SQOO5mREQEkNjXLKXxR69fv058fHyaT0oIIUR6VapUieeee46rV6/SsWNHLly44DRf13XefPNNvvnmG8qVK8fo0aOd5tepU4eIiAinJCwhIYEXX3wxxe0VKFAA+PfR84zK6nN+koiICMd5+U5J9X5K5+KsquMHDhyIt7c377//Pnv27ElWPitauEeMGAHAc88953hUOonNZku11T4zyLWGXGuI7CF9skW22r9/v1NleKfKlSszZswYRo4cyciRI6lZsybdu3fHZrOxZs0alFLUqFGDvXv3prh869atqV+/Pr1796ZQoUKsW7eOsLAwHnroIUaOHOkoV6hQIRYsWECPHj2oUaMGbdq0oXLlysTHxzsuaho0aMCvv/6aFYcgTRMnTmTXrl3873//Y8WKFTRp0oTChQtz7tw59u/fz969e9m6daujb9S7777LunXreOONN/jjjz+oWbMmhw4dYuXKlbRq1SrZnflixYrRp08fvvvuO2rXrk2bNm24fPkyP//8M23atGHx4sVO5d3c3Pjxxx9p27YtTZs2pUWLFgQFBaFpGqdPn2bz5s0ULFjQ8bKPjPjkk08IDw/n7bffZuXKlbRo0QKlFEePHmX16tVcunQpzbErn3zySbZt28bXX3/Nn3/+ycMPP0yxYsW4dOkShw8fZvv27Xz33XcEBgZy7tw5atasSY0aNQgODqZ48eJcvXqVX375BavVmuxCVwghMmrq1KlERUXx1VdfUaFCBdq3b0+5cuWIjo5m9erVHDt2jAoVKrBy5cpkfUtffPFFVq9eTbt27ejTpw+enp6sWbMGPz+/FPtut2jRgmnTpjFs2DC6deuGl5cXpUuXpn///vcUc3ac8wH27NlD165dqVu3LlWrVqVIkSKcO3eOJUuWYDKZUnycNqvq+MKFCzNv3jx69+5N3bp1efTRR6lUqRKRkZFs376dwMBAlixZcl/7+1/t2rVj9OjRTJs2jQoVKtClSxdHXb9u3TpGjx7N888/n6nbvJNca8i1hsgGGX8xuRDplzSEV1r/koah0HVdzZo1S1WrVk25u7urIkWKqCFDhqjLly+nOBTGnUNnfP7556patWrKzc1NFS1aVD333HMqOjo6xZgOHz6shgwZokqXLq1cXV1V/vz5VVBQkHr22WfVjh07nMqSyjAZqUmtfFrDWiSx2Wxq9uzZqmHDhsrX11e5ubmpUqVKqTZt2qhPP/1U3bp1y6n86dOnVa9evZSfn5/y9PRUjRs3Vps2bUp1SJGYmBj17LPPqoCAAOXm5qaCg4PVt99+m+rQJEopdfbsWfXcc8+pChUqKDc3N+Xr66uqVKminnjiCbVu3bp07btSKQ+LoVTicBdjx45VlStXVm5ubipfvnwqJCREjRs3zmm4jdSWV0qphQsXqocffljlz59fubi4qOLFi6tmzZqp999/3zG0zPXr19WECRNUkyZNVNGiRZWrq6sqVqyYatOmjVq1alWK6xVCiPuxZs0a1aNHD1WsWDHl4uKi/Pz8VP369dX777+f4nBASX744QcVFBSkXF1dVZEiRdTIkSPVzZs3Uz0PTp06VVWoUEG5uLgkOw+ndwivJJl1zk/NmTNn1JgxY9RDDz2kChcurFxdXVWpUqVU165d1datW53KZkcdr5RSu3fvVj179lQBAQHKxcVFFS1aVLVt21YtX77cUSazhvBKsnjxYtW8eXOVL18+5ebmpgIDA1X//v1VeHj4XY5gIrnWSL7vSsm1hsgZNKWUyp50XgiRnSZMmMDEiRPZsGEDzZo1MzocIYQQ4p5JXZazyd9HiJRJn2whhBBCCCGEECKTSJIthBBCCCGEEEJkEkmyhRBCCCGEEEKITCJ9soUQQgghhBBCiEwiLdlCCCGEEEIIIUQmkSRbCCGEEEIIIYTIJJJkCyGEEEIIIYQQmUSSbCGEEEIIIYQQIpNIki2EEEIIIYQQQmQSSbKFEEIIIYQQQohMIkm2EEIIIYQQQgiRSSTJFkIIIYQQQgghMokk2UIIIYQQQgghRCaRJFsIIYQQQgghhMgkkmQLIYQQQgghhBCZRJJsIYQQQgiRoieeeIITJ06kOn/GjBkkJCRkY0QZc+PGDT777DPH7xs3bqR79+4AzJo1i4ULFxoVmhAiD9KUUsroIIQQQgghhHHsdjtms/melwsMDCQ8PBxvb+8siCrzRERE0L17d8LCwoDEJPvjjz/mxx9/vOd1ZfRYCSEeHNKSLYQQQgiRy0VERBAcHEzPnj2pUqUKAwcOxGazARAWFkbTpk2pXbs2HTt25Nq1a0BigjxmzBhq1qzJ+vXreemll6hUqRI1atTgrbfeAqBZs2aEh4djt9t57LHHqFq1KkFBQcyZM4eZM2dy/vx5GjRowKOPPgrAb7/9Rv369alZsyaPPfaYo5Xb39+f0aNHExQURMuWLbl9+zYAR48epXnz5tSoUYM6deoQFRWF3W5n1KhR1KlThxo1avDtt98m21+lFM8//zzVq1cnJCSEtWvXAjB37lxGjx7tKBcaGkpERASvv/46Bw8eJCQkhEmTJjmta8KECXz88ccAnDhxgtatWxMaGkqLFi2IiIhwHIfnn3+e0NBQ5s+fnyl/MyFE3iVJthBCCCFEHhAeHs7LL7/MoUOHsFqtfPPNN1itVkaNGsXPP//MX3/9RZcuXZg8ebJjmZIlS7J7925q1arFwoULOXToEHv37mXkyJFO696zZw+nTp3i4MGD7N+/n65duzJixAiKFSvGli1bWLp0KZGRkbz33nusX7+e3bt3U7ZsWT7//HMArl69Sps2bdi/fz/Fixfnp59+AuCxxx7j1VdfZe/evWzYsAFPT0++/PJLihYtys6dO9m2bRtTp07l6tWrTvEsXryY48ePs2/fPpYsWcITTzxBXFxcqsfm7bffpmrVquzZs4dx48alWu7pp59m9uzZhIWF8cYbb/DSSy855rm4uBAWFsagQYPS/TcRQjyYLEYHIIQQQggh7l/58uUJDQ0FoHfv3ixdupTQ0FD27t1LixYtALDZbFSrVs2xTI8ePQDIly8f+fLl4/HHH6dz58506NDBad1ly5bl/PnzjBgxgk6dOtGqVatk29+2bRv79u2jfv36AMTHx9O+fXsAvL29efjhhwGoXbs2ERERREdHc+3aNce6kh45X716NeHh4XzzzTcAREVFcfLkSQoWLOjY1h9//EHfvn0xmUwEBgZSsWJFjhw5cl/H79atW2zevJnOnTsDia3lXl5eyY6VEELcjSTZQgghhBB5gKZpTj9rmoau69SsWZMNGzakuIynpycAFouFsLAwVq9ezffff88333zj1F85f/787N+/n5UrV/LBBx+wevVqpk2b5rQuXddp3749c+bMSbYdNzc3x89msxm73Z7qfui6zuzZs2natGn6dvwOFosFXdcdv8fHx6d7WV3XCQgIYM+ePSnOTzpWQghxN/K4uBBCCCFEHnDs2DF27doFwMKFC2nUqBGVK1fmzJkz/PXXX0Bi0nn48OFky966dYuoqCg6duzI9OnTkyWakZGR6LpOz549mTBhgmO+j48PN2/eBKB+/fps2LCB06dPAxAdHc2pU6dSjdfX15cCBQqwZs0aRwxWq5VWrVrxySefOBLxpD7hd2rUqBHff/89SilOnz7NsWPHqFSpEqVLl2bv3r0AHDx40NG6fWecacUTEBDAsmXLgMQXnIWHh6e5jBBCpERasoUQQggh8oDq1aszZcoU9u3bR506dejbty8uLi4sXLiQ5557jps3b2K32xk7diyVK1d2WvbmzZt06tTJ0fI7ZcoUp/nnzp1j0KBB6LqOxWJhxowZAAwdOpTmzZtTsWJFli5dyueff063bt1ISEjAZDIxY8YMypQpk2rM8+fPZ9iwYYwaNQoPDw9Wr17N0KFDOXXqFDVr1kTXdYoWLcqqVaucluvatSt//PEHQUFBWCwWPv/8c9zd3WnUqBH+/v5UqVKF2rVrU6VKFQAKFixIrVq1CAoKokePHjRp0iTFeL777jueeuop3njjDaxWK08++STVq1e/p7+DEELIEF5CCCGEELncf4eoEkIIYRx5XFwIIYQQQgghhMgk0pIthBBCCCGEEEJkEmnJFkIIIYQQQgghMom8+EyIHOqmus0FdZkL6grXiSIeKwlYiVcJJJBAPAmYMeOFJ96aJ9544oUnPponAZo/xSiMSZP7aEIIIURWUrdj0P8+h4q+CXHxqLi4xP9j4yA+HhUXD3HxoOto+fOhFciPVjD/Hf/7oVnkklyIvES+0UIY6Jy6RLh+lEPqBIfVSU7of3Oey1xUV7hN7H2t24KFYhSmlFaMkloRArUSVDdVIESrQlmtpNN4qkIIIYRInbp1G/uR4+iHjqMfPob92Cn0iDOov8+irl6/v5VrGvj6YCroh6lMaUzBVTAHVcUcXBVTlfJoLi6ZsxNCiGwjfbKFyCYJysoOtY/f9Z38qf/FXv0wkdxnxZxB+fAhWKtEiKkKoaYgmpnqEqD5GxKLEEIIkdPokdew/74N26Yt2DZtRT90DIy4ZHZxwVS5PObgqpiDq2CuFYz5oVpobm7ZH4sQIt0kyRYiiyil2Kn2s1bfwu/6Trbre4klzuiwUqShUV2rwMOmBrQw1aeRqTYemrvRYQkhhBDZQr96PTGp/n0rto1b0A8eNSapTg9PDyxN62N5pCmWVs0wVyxrdERCiP+QJFuITKQrnS1qNz/bV7PEvpZzXDI6pAxxw5WWpvr0NLejo6k5Xpqn0SEJIYQQmUq/dh3rwl+wfvsT9p17cm5SfRemSuVxebQ1ls6tMYeGSHcwIXIASbKFyAS79APMsy/hF/taLnDF6HAylScetDc1o7e5Pa1MDXHRpG+YEEKI3ElZrdhWriPhm8XYVq2HhASjQ8pUWomiuA7shevQfpiKFTE6HCEeWJJkC5FBsSqORfZVfG5fSJgKNzqcbFEQPwaauzDU3IsyphJGhyOEEEKkiy1sD9ZvFmNdtBQVec3ocLKexYLl0da4PTUAS7MGRkcjxANHkmwh7tEJ/W9m279nvn0J14k2OhxDmDDR1tSEZ80DaGqua3Q4QgghRDJKKWxLfiXunQ/R9x4wOhzDmKpUxPWp/rg+1h3Nx9vocIR4IEiSLUQ6ndD/5h3bLL7XV2DHbnQ4OUZNrSpjLMPoZH7Y6FCEEEKIxOT6p5WJyfX+Q0aHk3P4eOP6WDfcXh6BqXhRo6MRIk+TJFuIuziun2aybbYk13cRqlVnvGUkj5gbGh2KEEKIB5DSdayLVxD/zofoB44YHU7O5emB28ghuL08Qlq2hcgikmQLkYqLKpKxthl8Z18myfU9aGKqwyTLczxkCjE6FCGEEA8ApetYf1hG/Dv/Qz901Ohwcg2tUEHcXn8e16H90FzkpaZCZCZJskWusnHjRj7++GN+/PHHLNuGVVmZaf+Wt22fcpPbWbadvK6rqRXvubxCcS3A6FCEEELkUfZd+4h95jXsYXuNDiXXMpUvg/tbY3Dp2s7oUITIM0xGByBETrLOvpU6Cd0YY5smCfZ9+klfTUj8o3xsm49dyZMAQgghMo+Kiib2uTe41aCjJNj3ST9+ipjeT3KrSWdsYXuMDkeIPEGSbJGjTZkyherVqxMUFMS3337rNG/Dhg3Ur1+fK1fuf1zqSHWdfgmjaG8dymF18r7XJxLd5DajbVNolNCHv/QHY5gzIYQQWcu6ZBU3g5qT8OnXoOtGh5Nn2Lf9xe0mXYibNB1lsxkdjhC5miTZIsfauXMnixYtIiwsjE2bNjFu3DjOnz8PwLp163jttddYtmwZhQoVuq/trLJvonZ8Zxbrv2VG2CIFu9VBGif05VXrNKzKanQ4QgghciE98hox/Z4mpucw1MXLRoeTN9lsxL/1AbebdsF+VBodhMgoSbJFjvXnn3/SrVs33N3dKVCgAC1btsTLy4u9e/cyatQoli9fjr+/f4bXf1vFMMI6kS7WEVziaiZGLlKio/OBfS5NE/pxXD9tdDhCCCFyEevS37hVowXWH5YZHcoDwb5zD7fqtiF+9jyjQxEiV5IkW+Q6xYsXR9M0Dhw4kOF17NT3UzehO1/af8jEyER67FIHeSihB/PtvxgdihBCiBxO6Tpxb7xLTI+hqCtyQzxbxcQSN/J1bncaiC5PDghxTyTJFjlWo0aN+Omnn4iPj+f69eusX7+emJgY/P39Wbp0KSNGjGD37t33vN65tp94OGEgJ9TfWRC1SI9bxDDU+joDE17htooxOhwhhBA5kLoRRUznQcRPnQkyGI5hbKvWc6vWI1hXrDU6FCFyDUmyRY4VGhpKjx49qF27Nk2aNGHixIkULVoUgJIlS/Ljjz/Sv39/jh5N35iYNmXjBes7PGUbRzwJWRm6SKeF+gpaJAzgjLpgdChCCCFyEPuBI9xq0AHbrxuMDkUAKvIaMd2GED/tU6NDESJXkHGyxQMhUl2nr/VFftd3Gh2KSEER/PnB9SPqmIKMDkUIIYTBrItXEDN0FNySoTRzIpcBPfD45F00V1ejQxEix5IkW+R5h/UTPJownL85b3QoIg0euPOZy5v0MLc1OhQhhBAGULpO/NipxL830+hQxF2YG9XFa/GXaPn9jA5FiBxJkmyRp23X99Il4WmuEWV0KCIdNDQmWp7lZctQo0MRQgiRjZTdTuzg57F+v8ToUEQ6mapWxGv5N5hKFDU6FCFyHEmyRZ61xv4nvazPE0Os0aGIezTG/CQTXEYaHYYQQohsoOx2Ygc+i3XRUqNDEfdIK1kMr2XzMVetaHQoQuQokmSLPGm5fQP9rKPkBWe52Cjz47zt8qLRYQghhMhCymYjdsBIrD8uNzoUkUFa/nx4/bYQc0g1o0MRIseQJFvkOb/Y19LPOhobNqNDEffpGfNjTHMZY3QYQgghsoCy2Yh57BlsP60wOhRxn7SAQnhtWIy5fBmjQxEiR5AkW+Qp6+3b6GJ9Wlqw85CnzH2Y4fK60WEIIYTIRMpqJabv09h++dXoUEQm0QJL4r1hMabi0kdbCBknW+QZYfp+elqflQQ7j5llX8Bk22yjwxBCCJFJlNVKTO+nJMHOY1TEGW63ewz96nWjQxHCcJJkizzhiH6STgnDuUWM0aGILDDR9hHzbEuMDkMIIUQmiH3yZWzLVhsdhsgC+qGjxDw6ACVjnIsHnCTZItc7oy7QLmEoV7lhdCgiCz1tm8Bq+x9GhyGEEOI+xM/4DOs3PxodRpqCrBdoYL1EI+slOtiuOM0bYLtKM9ulNJd/w36Dstbzjt9n2m9S33qRJ2xXHdPm67f5Rs+biah95x5ud38CFR9vdChCGEaSbJGrxal4eiY8xznSrvBE7mfDRl/ri+zSDxgdihBCiAywrtlE3KvvGB1Guqy2FOIPlwCWWwo5pm3Q4zDfZbnDysplpTtNW6DHsMUSgBmNcJVAjNJZqsfSV/PMgshzBvv6P4gZ8Czy6ifxoJIkW+RqT1snsFsdNDoMkU1uEUOPhGeJVNLfSwghchP78VPEPjYC7HajQ8kQq1K8r99ktNk3zXLj7VGM/U8Zd03DBijAgsZM/RbDTd6YNC3rAs4BbD+vJGG6vFNFPJgkyRa51kzbN3ynLzM6DJHNznGJQdZX0P/TUiCEECJnUjdvEdPtCdT1KKNDSRcNaG+7QnPbJRbpie96manfpI/JE29ST4x/0mMI0VwoqVmcpg82edHcdpl8mkZBTIQrKy1M7lm5CzlG3Ngp2Lb9ZXQYQmQ7GcJL5Eqb9TDaJjwhY2E/wF43D2esywijwxBCCJEGpRQxXR/HtmKt0aGk23llp5hm5qKy09l2hWnm/EzVo/nF7M/f2Blov8pGS4DTMreVTld7JEvMhfDQNMpaz3PSpViydb9kv84gkzfb9Hg2qXiaaW48bvbOrl0zhFayGN47f8VUIL/RoQiRbaQlW+Q6l9VVHksYJQn2A26yfTZr7H8aHYYQQog0xE+YlqsSbIBiWmLP6yKamUdM7hxSVo4oK8G2i7S1XeGgstLDFum0TAR2TiobdW0XCbJe4AY6DazO74s5pqxYgUDMrFSxzLMUZIWK5XYefzJLnTlP7JAXjQ5DiGwlSbbIdUZYJ3KJq3cvKPI0HZ1B1lc4p+Sld0IIkRPZ/txB/JSPjQ7jntxWOjf/SXpvKZ3f9Xhqa64ccSnGfpeirLIUoqrmwg8Wf6flqmkuHPunzH6XovhhYouLc2v3VHs0r5h8sQIxJD5IGoPCmi17ZizbirXEz/jM6DCEyDaSZItcZb79F5bp640OQ+QQV7nBcOt4o8MQQgjxHyomltiho0DPXa20V9BpY7tCQ+slHrFdprfJk1om11TLv22PYqUee9f1btHjCdQsFNXM+GkmgjVX6lsvUkNzxU97MC7H415/F9uO3UaHIUS2kD7ZItc4oy4QGt+VKG4aHYrIYT6xTOBxS3ejwxBCCPGP2OfHkvDJXKPDEDmMFlgSn11r0Ly9jA5FiCz1YNw6E7meUoph1rGSYIsUjbFNk8fGhRAih7D9vpWET782OgyRA6mIM8S9/aHRYQiR5STJFrnCXPtPbNC3GR2GyKGiucXz1reNDkMIIR54KiGB2KdfBXlQUqQi4aMvsR85YXQYQmQpSbJFjhelbjLOJnc9RdqW6ev5xZ673mArhBB5TfyUmehHJYESaUhIIO7FcUZHIUSWkiRb5Hhv2T7hCteMDkPkAq/a3idBPQjvaRVCiJzHfvQk8VNnGh2GyAVsa37H+suvRochRJaRJFvkaIf1E3xqX5Al69aPxpNQ74TjX3z+g9iXRjvmW/ucIaFhynfjVaSNhNanSKh+DGuvv1FxiW9Ptf0vkoTax7EOPOsoa//6OvZ517NkH4Szk+oMs7Lo8yKEECJtca++DfHxRochconYlyah4uKMDkOILCFJtsjRRtumYMOWJes2VXTDdXs5XLeXw2VdIHiZMLX0BkBfdwvMqS9rnxaJubMvruEV0Mq4os9JTKL1b6NwCSsHFtD3x6FidPSfozE95pcl+yCSm2ybxXUVZXQYQgjxQLHv2odt2WqjwxC5iIo4Q/x7nxodhhBZQpJskWOtsf/JWn1LtmxLX34TUzMvNC8TyqqwTb2CeUyh1MuvuImprx8Apj75sK/8563nbhrYAAVYwP6/q5ifKYhm0rJ8H0Si60Qz2Tbb6DCEEOKBEjdputEhiFwofton6BFnjA5DiEwnSbbIsd62fZJt29IXR2Pqng8A+4eRmB/zQ/NJ/euhou1o+RKburViLnA+sbXdPDQ/1kYnwdeMVtCC2heH6WHvrN8B4WSWfQGn9LN3LyiEEOK+2XbuxrZyndFhiNwoNo64tz4wOgohMp0k2SJHWm/fxja1N1u2paLt6NtjMLXxRp2zoq+7neHHu8398yc+fj6jKLbJVzC/Vgj7Z9ew9jmD/XN5eVt2ScDKdPtXRochhBAPhPiJ7xsdgsjFrN/9jH5aboyLvEWSbJEjTbbNyrZt6ctvYmrpjeZuQt8XhzocT0LlYyS0OIUKj8fa+XSyZTRfMyrKDoA6b4WiFud1Ho0Hq0Ir44p9+U1cFpTEvuwm6raeLfskYL79Fy6pSKPDEEKIPM22NQzb6k1GhyFyM5uN+OnZd90nRHaQJFvkOJv1MDarsGzbnr44yvGouLmtD26nKuF2pCKu68ugVXfDZUnpZMuY2vqgf3cjcfkFUZjb+TjNt79zBctrhSBBQcw/ifVtPfF3kS3iiGem7VujwxBCiDwtTlqxRSZImPM9+qUrRochRKaRJFvkOFNtn2fbtlSUHT0sFtMjXncta5t0GfvyxCG+zC/5Y/8pmvhqx1AnEjANzu8op/9xG62sK1oxF7T8Zkw13EmofRxTTXe0/Gm8slxkus/sC7mpbhsdhhBC5Em2P3dgX/+H0WGIvCAunoRZ84yOQohMoymlpGlN5Bgn9L+pntAehXwsReZ41zKa5y2DjA5DCCHynJgBI7F+v8ToMEQeoRX2x+fENjQ3N6NDEeK+SUu2yFG+sv8oCbbIVLPs3yP3EoUQInOpG1FYl6wyOgyRh6jLkVgX/mJ0GEJkCkmyRY6RoKzMsy8xOgyRx0Sos2zSdxodhhBC5CkJi5ZCXLzRYYg8Jv4jGRlE5A2SZIsc4xd9LVeQYa5E5ptn/9noEIQQIk+xfr3I6BBEHqTvPYB9/yGjwxDivkmSLXKML+w/GB2CyKOW6GuJVreMDkMIIfIE+8Gj2HfuMToMkUdZF68wOgQh7psk2SJHOKcu8bs80iuySAyx/Gj/1egwhBAiT0iYJ63YIutIki3yAkmyRY6w1L5OXngmstS39mVGhyCEELmestmwfvuT0WGIPEw/chx7+GGjwxDivkiSLXKEJfpao0MQedxWtZtIdd3oMIQQIlez/bYRdemK0WGIPE5as0VuJ0m2MNxVdYM/9L+MDkPkcTo6v+q/Gx2GEELkarYVclNcZD1JskVuJ0m2MNwy+3rs2I0OQzwAVtklyRZCiPth2/CH0SGIB4B++Bj2A0eMDkOIDJMkWxhumb7e6BDEA2KN/idWZTU6DCGEyJX002fRT5w2OgzxgJDWbJGbSZItDGVTNnmruMg20dxis3RNEEKIDJFWbJGdbL9tMDoEITJMkmxhqF3qIDe5bXQY4gGyXt9qdAhCCJEr2db/aXQI4gFi33sQFR9vdBhCZIgk2cJQ0ootstt2fa/RIQghRK5k27jF6BDEgyQhAfueA0ZHIUSGSJItDLVF32V0COIB85c6gF3Ji/aEEOJe2A8cQV28bHQY4gFj37Hb6BCEyBBJsoVhlFLSqiiyXQyx7FdHjQ5DCCFyFdsGeVRcZD/7dmmMEbmTJNnCMCfVGa5yw+gwxANIbu4IIcS9sW8NMzoE8QCy7dxjdAhCZIgk2cIwB9Vxo0MQDyhJsoUQ4t7YD8oTQCL7qVN/o1+ONDoMIe6ZJNnCMIfUCaNDEA8oucEjhBDpp2w29GOnjA5DPKCkX7bIjSTJFoY5qEuiI4xxXJ02OgQhhMg19GOnICHB6DDEA8r+1z6jQxDinkmSLQxzWJ00OgTxgLpFDBfUFaPDEEKIXEE/LDfFhXH0v88aHYIQ90ySbGEIXekcUfLomTDOMRVhdAhCCJEr6CcijA5BPMDU+UtGhyDEPZMkWxjiIpHEEmd0GOIBdlyXR8aFECI99Ii/jQ5BPMD0sxeMDkGIeyZJtjDERXlUVxjspDpjdAhCCJEr6KckyRbG0c9fNDoEIe6ZJNnCEJfVVaNDEA+4y8hnUAgh0kOPkD6xwkA3b6GibxodhRD3RJJsYYiLSsY8FMa6pqKMDkEIIXIFdf2G0SGIB5x+TlqzRe4iSbYwxCUkyRbGuqpuGB2CEELkCiom1ugQxANOPyf9skXuIkm2MIQ8Lp53WSddJt73APG+B7A+kfwRQ9vX14nPd5B4nwMktEl8w7yu68RXOEK830ESev/b9y8+6Bj2NVnziNh1pCVbCCHuRikFsfKiUmEsJf2yRS4jSbYwxE1uGx2CyAJ6nI4+9QoUsUAxC/r3UejH453K2J85D+5AdVdUWCz2JVHoP0XDNTuUsaBWJCbV9oU34KoNLdA1S2K9lo6W7O3bt1OwYMEMbyMiIoLQ0FBmzJhBQkKC0zx/f/8Mr/fOdd/Nxo0b2bFjh+P3QYMGsXz5cgDatWvH66+/zscff3xfsfzXkiVLOHr0qOP3Zs2aER4eDkDz5s0zdVtCiCwWEwtKGR2FyCK/6rGEWi9Sy3qRebrztVmM0uluu0Id60Uesl5ktv2WY95r9hs0sF5krP2GY9rb9ih+17Pmhoy6duOuZdJbL2Zk+eyqs+9mwoQJUmfnEpJkC0NYlc3oEEQW0L++DoDrhrK4hpUHM9je/7drgL47FkwaLqvKoJlMaC28sX95HS7aQQPLH+VATyxrG30RrY03pgpuWRLrdaLvWiYgIIAyZcowduxYKlWqRIsWLWjbti3Lly9n2LBh1K5dm2rVqjFt2jTHMv7+/owYMYJq1arx+OOPY7fbU0yys8t/k+w7rVy5EhcXl3StR9f1dG/zzgrbbrc7zduwYUO61/PfZYUQ2U/djjE6BJFFbErxvP06NhQ6irfsUVxTzufd502+bLcE4A68qUdxUtm4odtZpMeggOV6LFFK54JKnFZMM2dNsNa7XzdeunSJU6dO3femclKd/d8b41arNdO3+d8k+05SZ2ecJNnCEDYkyc6L1J8x4GlCK+6C5m1ObNHe/e9dbf1gPOQzoRVMrIS1QBfUBRumll5g0bCVOAIFzFjfuQwauEwtmmWx2rh7ZXD27FnCw8OZOXMm0dHRHDt2jLVr1zJ06FAWLVrEpk2b2Lt3L1988QU9evTAbrdz9epVPv/8c06cOEFERAQnT57k/Pnz1K1bF39/f6pXr06vXr2IioqiZs2aFC5cmP379wNQsGBB/Pz8qFy5Mu3btyc6OvFGwM2bN+nfvz/BwcFUqVKFkJAQ2rRpw7Fjx+jduzdVqlRxWs/ChQvx8/MjKCiIyZMn88477xASEsL8+fNZsWIFI0eOpFmzZgQGBjouJObPn0+JEiXInz8/zz//PJB45z0oKIhWrVrh5eVF9erVGTBgAHFxcY54y5cvT8OGDWnSpAn16tVj+/btzJ8/n8ceewwPDw8WL17M33//TefOnQkKCsLHxwdIvJAICgqiTp06BAcHExwczMaNG9m4cSMuLi6ULl0aHx8fp+MghDCA9MfOs3aoeG6iWGkpzB+WAOJRLNX//Xt7aiYamdyYr25TRnPBG42Lys4RrJiAP8yFuYyOCXjFfp16mhvltfTduL1Xynb368aAgACKFy9Oz549qVKlCgMHDsT2z3KBgYHcupXYEr98+XIGDRoEwPHjxx310P/+9z8gMck+d+4cLVq0oHr16owZM8axjcaNG3PkyJHEmJSiYsWKXLt2zSmOO+vsGjVqsHnzZgCsVisDBw6kSpUq9OrVK7ErBhAWFkbTpk2pXbs2Tz75pCOx3b59u1Od/d8b41OnTqV///7Jkttdu3ZRt25dgoKCnOrslI7B9u3bWbp0Kc8++ywhISFcuODc9/3OFvwpU6Y4jlVS48LGjRtp0aIF7dq1o2HDhnf9Gz1IJMkWhrBKkp0nqVs63Fm/ephQcXdvATVVccfU2w+tohumSYXQP7yKNjg/1nYRxJc9gm1W5vfhVyhHBZeW+Ph4+vTpw+TJk4mKiqJ69ep88MEHREdH06BBA2rVqsW5c+eIiopiz549ACxYsIC4uDjq16+PUopixYrRuHFjXnvtNTZu3MjevXvJly8fu3fv5qGHHmL06NEAXLt2jcqVK3P48GGCg4OZPn06AG+++SalSpVi3759lC1blueff55ff/2V27dvY7FYOHjwIAkJCezatQur1cp7771HtWrV2L9/P23atKFq1ars2LGDiRMn0qBBAz766CN++uknxz5evHiRKVOm0KxZM65evcq1a9dYsWIFAIcOHeLUqVNs3LiR8PBwvLy8+OSTTzh37hzR0dFs2rSJ1atXc+LECQDq1auHh4cHvXv3JjY2ljJlynDlyhUWLlzIpk2biImJ4fz58+zcuZPY2Fh27NjB7t27uXjxoqMFwmaz8cYbbxATE+N0HIQQ2U9asvOuLSoBf0wU08x4ayaqaC78qZy7eF1XOov1WNpr7kSjqKG5kE8zUxgzTeyX8cPEGezsU1Ymm/NlXbDpaMk+e/Ys+/fv5+WXX+aVV15hw4YN1KhRg/Lly6d4s9Zut9O0aVMuXLiAUorDhw9z+fJlzp8/T2hoKJcuXSI8PJzbt287bozbbDbmzJkDgJ+fH3a7ncaNGzvdEL6zzl68eDGvvvoqbdq0Yf/+/Tz55JMcPHiQ3377jXnz5mG1Wnnqqaew2WwsWbKEixcv8tZbbxEcHEyPHj2c6uw7b4z37NmTqVOnsnfvXl566SXg3xvjLVq04NKlS+zYscNRZ0Ni8h8SEkLDhg2ZOnUqhw4dol69eiQkJFCrVi00TSM8PNzpxnh8fOLn4b333uPzzz931NlTp051HIeNGzdSuHBhbt68KTfG72AxOgDxYJIk+/7N2N+Jv+IbEXGxCKDQNEADk0mR+KNCM5H4s6bQTAoNLfFnTQEaJu2fJFNLLGNCoanEMknT0BLXwT/LaKh/786Z/pn8zzq2maZy8vZv9No+G00pFkV2xrtIEdpv/xQNuGo/yoqop+m0+03W3xqP1+5C2DziaLPtfegN9IHfJ7/DBbfdVLzUjiMXllOgXHkuvbGf/jUWgoLEKP75p0icgEJTSbEkFtL++dG5XNLPiWX0djpmc9qPtpnNZkqUKAFAkyZNOHDgAJcvX0YpxZdffkmdOnVo2LAhdrudsmXLArB27Vp8fHzo2rUry5YtA2Dr1q2MHz+ebdu2ERkZyY0bNwgJCSE2NpbIyEh0XcdkMvHqq68C0KdPH1588UXH+pYuXQok3vFevnw5p0+fpkKFChw4cABN0/D29ub8+fMcOXKEo0ePous6ISEhnD9/nhIlSnD48GECAwPJnz8/AAUKFHDs45w5c7h+/Tpms5latWoRExPjeBS+XLlyKKWoV68eAP379+e9996jbNmyuLu7ky9fPry8vKhbty7nz593rLNRo0YA/PnnnxQqVAg3NzcKFCiAi4sLO3fuJCwsjAsXLlCzZk0AYmJiOHPmDGXKlMFkMvHEE08kOw5CiOynYiTJzjAPF0zDqnK2fjCz9nXB1aTjalZYNIWLpmPSwKLpmDUwJdXBmsKkJdbjiTQ0Eqswk10l/tPBpCf+rNlBc/wOmp44X7MrND3xd81+5////rw/7Au4uIvfW80EO9j+nMAppbG57niwJ270k/CZPOxfn0nHvqCEqRC7a01HKSh9/FMORh2ke/FODL24hjr5mjLWZCHidgTNCjejvn+DTD2U5bwKUyUd5dzc3AgNDSU8PBxd1wkNDeXDDz+kYMGCyR4B37NnD1euXCE+Ph5N0/jzzz957rnnMJlM+Pr68uuvvxIZGcn+/fsdN8bHjBnD119/zTvvvEN0dDTDhw/n3Xff5dVXX2X69OlMmDDBqc5+/vnnefbZZ6lbty4PPfQQ33//PQ0aNEixzu7YsSNubm6UKFGCuXPn8uKLL6ZYZ3/00Ufcvn2b8+fP4+rqyoABA1ixYgXVqlXj4MGDlChRgtOnTwP/1tm9evUiOjqaffv24efnR8WKFR3XNpDYYv3jjz+yc+dOrly5wsaNGylTpgyFChXi/PnzadbZSik6duzI3LlznY7Dg06SbGGI9DyqK9LWu88qHlt3ipOVXVm9vzcrw2uw9ZQn9vR3nc10NtehqPhlfDvLCt7FsF+7TlyVF/j25+B/SgRj10eyePZZ9GtuXD21G/MjnzJ/SQ0A9JhI7Ov/RGs6lT1b1qDi3Ymr8hn6jpp8/UsNp21pGphMif/M5n9/vnOaZgKTBqZ/5msamM3aPzcjwGS6+8M8JpOJX375hSeeeAJd1x13vDVNw83NjbNnz7Jnzx4eeughR2Xo5eXFBx98wLlz5/D29r4jZg1d12ndujW//fabo+V70KBBrFixAl3Xadu2raOspmnJ4rlzmqvrvy+FM5vN2Gw2dF2nYsWKeHt7s3HjRiZMmHDXF7YUK1YMu93Ob7/9RpEiRRzTIyIi8PDwICaFi2ylFCaTydFX2/afR/nc3O7el75y5cr89ddfAHTs2JEmTZqkuL8pHQchRDZJRwui+JcWGoDp6QrQQqEXPYnSIiiqn2HtodEcu5Lx/sqaBu7uif/c3MHVTcPVLfF/F1ewuILZBcwuGiYXMLkAFtDMif8rc+I/uynpn+Lv2duI/HkXYyY2waopTvezoBUtQf8pjYhVYD+0F9sX7vzKbijTBG5F0+WDRljsCoveABcd5m7dwK0py4h862mujR+Ga9UK/HV+KZUmvoDFDmYFZrvCrINFT/ofTDqY//nd8b/9359NusL8zw0Fsx0ahXinK8m+U0hICK6urvj5+WGxWLh48SIFChRwtM6WLVsWu93OiBEj6Ny5s1P9l3jMNbZt20Z4eLjjxnh8fDwFCxZ0PO01adIkIPUbwjt37mTZsmWcPn2agIAAx6PjmqZht9vRdZ3KlSvj6emZ7jo7X758nDx5kpo1a+Li4uJ0Y7x8+fIpPqW3c+dOPD098fHxwcvLi1q1anH58mXH/LvdGNd1napVq7Jz504Aunfv7qizTSYTXbt2TfM4PIgkyRaGcCNr+uw8SLTz17FX/pOyYY0Z1nw0w5rD9dslWXfgMVaFN2Dt4QLczub3dphL1Mfm6ot90SOJt90tnpir9sU6uxzmzj9hCqiBqem76BtGg26F4g0xVXjUsby+ciB4F8NctQ92kwlOrkSfFwruyd/wrRTY7Yn/7u09IImVj9lEupI3q9VKtWrVeOONN7h58yZly5alZs2amM1m2rRpQ1BQkCO5joyMxMXFhQMHDnDkyBEuXrxIpUqVsNls1K5dm4ULF9KvXz8GDx7sqASjo6Np06YNTz75JJD4MrLOnTuzcOFCR6X38MMP8+mnn/L2229Tu3Zt5s2bR9OmTbl69SrdunUDwNfXl7///pvKlStz8uRJypQpA4CHhwcnTpxg2LBhRERE4OXlBeDUh6xVq1bMnz+fNm3asGHDBqxWq6OPl8Viwc3NjZ07d1KnTh2+/fZbmjRpQp06dbBarfz55580adKE33//ncqVKwOJFW5Sv69GjRoxduxYEhISuH79Olarlbp16xIVFcVTTz1FdHQ0sbGxbN68mSeffBJvb290XeeXX35JdhyEENlP8/UxOoSczcMF0xNVMPUqgB4ciXI/g85+pyImk53hzTby4g8tM7wZpSA2NvHfP1P+8/+9s5+vj37pfY6+fxZcfbEdOIQpXy/0zxLnawfC4PfVgMLk5o0efwvv4c9TZsj/sLiCyUWxf9p4ynV5HsJ2cdvsSu03vuSPTuXx93JHmUA3g/5PYh9rUtg0sAIJGlhRxCuIRxGnID6NXSlRKH0vQY2Pj2fXrl0AnDx5kh49egCJN373799PlSpVWLJkCWazmfz58/PII484boxfvfpv17T69euzcOFCypYtS4UKFTh27JjjxvimTZvo06cPZrPZ0Uf6zhvCd9bZAFFRyYcMNZlMKKWoXLkyFy5coHDhwkDiDeuLFy9SuXLlVOvsUqVKUalSJQ4dOsSaNWsc1yARERH4+PgQHx+frM5WSuHt7c2ePXto3LgxJ06ccLwjxWQy3fWFag899BAbNmwgJiYGT09Prl+/zq1bt5waEv57HB500idbGMIH77sXEqkqctMDbDaw69hrbsK0OfHxnfxeZ+hedzJfPt6RI2+3ZuHQOQyuf4Yivtkz/IpmsmBqOSOxznf1wtz4LTSPAmgBtdC8CqNir6Fvnwrqn+b268ewH/0Z26rHsX5TH1w8MTd/D03TUH9vRCsUDH5lMDednOmxuqazQcHDw4Pr169jMpkoWbIkVquVqlWrUrZsWdzc3Lh+/TpdunShZMmSnDt3Dl3X2bRpExcvXqRjx46YzWaGDh3K5s2beeutt2jevDmPPPII0dHRBAcH06RJEwICAoDEu9Nr1qyhWrVq7N69mxdeeAGAsWPHOvpanTp1ig8++IA2bdpw69Ytxo8fD0Dt2rVZuXIl9evXp3379hw/fpwaNWrw5ZdfsnjxYurWrcu4ceP4888/GTlyJN27d3fsY9GiRZk8eTI3btygRIkStGnTxqlCnzt3LiNGjCA4OJibN28yfPhwSpQowdChQ+nUqRNFihShYMGCjpZ1T09PpkyZQkhICKVKlaJQoUL07NmTJk2a4OnpSdGiRRkwYAB16tShUKFCVKhQAcDxKJ+rq2uKx0EIkf20/FnYzzaX0moFYP6qIeaIhmg3CqHeP4297m6U+5lUl+lRZxqFvHPWUGimYnXBxQfbD22xfdsQTK6YKnTCtqQH6tYFVKk2kHAb5V0Ku8kLhYXogh3Zv1tn93adHbO+5vYtxUke4/jJQty6lsCmXk2wW/zY/K2dP+bb2TLXzrav7Oz8ws7uz3T2z9Y5PFvn5CydM7MUl2cromZD/GegfQEe30D+H6HIcii1RqP87xpVt5soeDZ9++Th4cGUKVN47bXX0DSNvn37Aon13JgxY6hXrx5+fn5A4o3xyZMns3HjRo4fP87Fi4ljcfv4+DBy5EiWLl3KK6+8wsGDBx1PbUVHR1OyZEkgsU/3L7/8AuB0Q/jOOjsuLo6PPvoIgKtXrzpaf5NujLu6uvLII4846uwvvviCEydO4OrqyjfffJNinV2pUiX++usvnn76aR599FEiIiKcXliWUp1dp04dAB5//HHq1KnjVP7OOrtq1apcuXIl2Y3xHj16YDKZqFevHpUrV+b333931NlJN8b/exwedJpKz5t/hMhkz1vfZpZ9gdFh5FqhZ/xZUe2E0zTzoibonfbd0Un6X0pp7D7dgdUHHmXl/oocvJh1D7HYt7yJunESzac45sZvOc2z/ToMU+AjmCr3QFljAAU3TmLf9THmVrOwLWiCS9/NqMt70Q99h7nplCyLs5C3xrm3fNNVtlevXhw5coSEhAReeuklBg8enGpZf39/IiMjU52fkqS77adPn77nZY2UdBc7NjaWJk2a8NVXXxEUFHTf683IMRRCZA11O4bo/JWMDsNYbhZMw6pg6lUQPegqyuPvDK1m2qpPefe34LsXzEb6yZXYN48FpWOu/RymoEHYlvTA/PD/0Lz/HeFDP7sZfe/nWNrPc0yzb5+KVqweppJNUbZY7L/0QsVcwlz3ZUyVumVqnB91d+fJRmm3ZkdERNC9e3fCwsKYO3cu4eHhjrdgh4aG8uOPPxIYGOgov3fvXgYNGoSu61gsFmbMmEHjxo353//+xyeffELFihVZunQpa9as4dVXXyUhIQGTycTLL7/M+++/z+nTp+nVqxcbN24kMDCQBQsW4OvrfF1x8uRJBg8ezPXr1yldujRff/01BQoU4MCBA/Tq1Qs3NzdatGjBzp072bhxI0ePHqV79+6YTCbmzp3LjBkz6N69Ox06dCAwMJDw8HC8vb359ttvee+999B1HTc3N+bOnYuXl5dj/1Myc+ZMPvzwQwoVKkThwoXp0qULAwYMcFovJL5FfP78+WiaxpgxY+jXrx8AL774IsuXL6dSpUrExsbyxhtv0KxZM/z9/e96HB5EkmQLQ4y1zuA9+xdGh5FrdQovwWcNDiSbbv6oPvqwo6Cl3YcuIjKU1ft7sSo8hC2Z2I9bXT+B/c8JmMq2QV095JRkq/gobAsfxmXATudlrh7GHjYd88Mzsf/YFkuvtdiW98fccgaaR/LHxDNLlSIm9o4x/jHIL774gkmTJvH555/Tr1+/XJVcvvDCC2zYsIG4uDgGDBjAa6+9linrlSRbiJwlyqvsvfbLyfW0WgGYni4PLUEvdgq02/e9zqu3AgmZ+C2xD9ahzBRf9fPgsTqudy+YxXJznS03xrOX9MkWhvDV5HHx+1EkKuW7ufaRWzFfCUV//W/Q4lMsAxDoH8aw5mHJ+nGvO1KAW6kvdlf2P97A3OhN1IXtyWdGn0ZzL4jt16Goa4cxFW+EqfGbaAUro7nmw/Z9c8w1h6NHrEl8vDwLE2wAf6+c0WfoiSeecLxJO7dVUh988EGWrDe3HQch8jrNzxd1JfOHUsxR3CyYhia2Vqvga+gep9EJz9RNFPSOoE+dM3y1pWSmrvdBUMAz59XZuc3YsWOdboxnRoItUidJtjBEPumTfV8CbqT+4jj7pDBMV6qjZlwH7dZd15XUj7t7XYi3efHn0T6s2v8wvx4owYXo9Fdq+okVaH7l0fKXTzHJVroddekvLM2ngn917L89hTr4LVr1gZibv4cZUErHvrQ35nZzsG98GXXrAqaaT2MqXj/dcaSXv3fOqLCFECKn0/zy5ckkWwspjOmZCtBSQy92CqX9jZ2MPQqeXk81m8Gcre8jz5Hem2L5ct5rpHLbDWG5MZ69JMkWhiiuFbl7IZEq/xtpv7VL/zQcLbIC2jwXlPl6utfrZrlNi6pf0KLqF0y9x37c6mIY+tGf0I8tAett0G3g6oO53isAiX27fEsnvswMMJVrhzr7h/M6DnyDqWJX1Pnt4OGPueEE7Msfw9Tlp3TvQ3oV8sp5FbYQQuREeeblZ24WTEOqoPUuCDWyprX6bsoW3ka7ajdYEe6XrdvN7Yr7yY1xkbvIVaYwRGmtmNEh5GoFb9z9q6t+OIZqb0ezBmRoG5qmqBW4jDHth/L7mKaEvfEc73TaQuNyMZhT2Ly54XhchhzA5fH9mBu/ian6AEeCDaB5FUHzLISKikiM7+wfUKDiv/FaY9BPrkCr3AtsMaAnAAoSojMU/90Y1ZJ948YNPvvsM8fvYWFhvPTSSwBs3LiRHTt2OOaNGzfOMaam0fbs2cPq1asdv0+YMIGPP/4YSHx87sSJE6ktKoTI5XJzkq2FFMb8eUPMpxqhRQegZvyN/tBudI/ThsX0dPO5hm07N3I155wuXkKkl7RkC0MEaiWMDiFX87uRvnJq/RloWBjt95JpDi2SHin14/71QOJ43Gn1477zLaWmJu9gWzEAdBtaoeqYqw10lNN3fYyp5tOJ4yuWbom+5zNs37fAXPfl+4o7NaXyp/8eo67rmEyZc08yKckeNmwYkPjG09DQUCAxyfb396du3boATJo0KVO2mRn27NlDeHg4rVq1Sjbviy/u7SWGmXk8hRBZz1QqF9XZbhZMQyqj9fY3rLX6buqV+4E6pYez83T6xn5+0BXLJ2Mvi9xHrnKEIbw1TwriZ3QYuZbvDXu6y6o9l1HBZzDdLJdp20/qx/3F4I4cebsVi4Yljsdd9J/xuE1V+zneLG7p/INjGBBTQE1c+v6Oy2NbsLT+DM3y7wWGud7LmEo2BUCzeGDpthSX/tszfRiQJOX80z79JY1x2bt3b6pWrcrt27cZNWoUderUoUaNGnz77bdA4niU3bp1o0mTJlSsWJEZM2Y41jF//nxH+RdffBGA119/nYMHDxISEsKkSZPYuHEj3bt358yZM8yaNYt3332XkJAQ9uzZw6BBg1i+fDkAq1evJiQkhOrVq/Piiy+SNDCEv78/o0ePJigoiJYtW3L7duIbcGfMmEGlSpWoUaMGw4cPT7Z/kZGRdOzYkeDgYJo1a0ZERASA0zZv3bpFYGAgdrudcePGMW/ePEJCQli5cqXTupo1a0Z4eOJF7G+//Ub9+vWpWbMmjz32mGMczYIFC/LMM88QFBTE0aNH0/13EkIYz1QtZw/hpdUohPmzBphPJrVWnzG8tfpuRjRfanQIuUZxP0lXRO4jn1phGHlkPOO8otKfZAOoiCjslQ9jiqyS6bEk9eN+r1dv9k1szJoX3mX0IwepWiTtYcSMVr7Q3U9/hw4d4rXXXuPw4cN8++23FC1alJ07d7Jt2zamTp3K1auJLwLauXMnS5cuZdeuXcyaNYsTJ05w6NAhfvnlF7Zu3crevXuJjIxkxYoVvP3221StWpU9e/Ywbtw4x7ZKlizJU089xZgxY9izZw8hISGOebGxsQwdOpQlS5awb98+jhw5ws8//wzA1atXadOmDfv376d48eL89FNi//VJkyaxa9cu9u7dy7vvvpts3yZMmEDjxo3Zt28fw4cP59lnn031OJjNZiZNmsSAAQPYs2cP7dq1S7FcZGQk7733HuvXr2f37t2ULVuWzz//HIBr167Rtm1b9u/fT+XKle967IUQOYe5eg5Lst0smIZXx7ypGeYbNWCHFX3QAfQS+9P1ws+coG3wTMoUzKTxM/O4ygGSrojcRx4XF4Ypp5VilzpodBi5kueNhHtf6EoM9gq7MO+ri15yf+YHRWI/7pqll1Gz9DLGtP9nPO7wXqzan7njcd8vX/f03RmvWLEiwcGJL2pbvXo14eHhfPPNNwBERUVx8uRJANq0aYOfnx8A7dq1Y+vWrdy4cYNt27Y5HgWPiYmhdu3aVKtW7Z7jPXLkCJUqVSIwMBCAfv36sXnzZrp27Yq3tzcPP/wwALVr13a0SNetW5fHHnuMHj160Llz52Tr/OOPPxwt0j179uS5556757j+a9u2bezbt4/69RPfBh8fH0/79u0B8PDwcPwshMhdTNWMvzGm1SiE6emKaA9r2ItHoExnUNxfNygjmU1Whjf9g5d/amJ0KDleULG0X/YqRE4kSbYwTIipKj/ovxodRq7kdiMuYwveTsBecQvmvxqjV92TqTGlJNA/jGHNwhjW7N76cWe1KgHpq7A9PT0dP+u6zuzZs2natKlTmQMHDjj1FdO0xL5juq4zdOhQxo8f71Q+KQnOLG5udzxybzZjtyc+5bBixQo2btzIkiVL+OCDD9i5c2ea60naB4vFgq4n3g2Jj7+3P5Ku67Rv3545c+Ykm3fnsRRC5C6mgvnRihRGXbycfRt1MWN6vApaH38IuZ7Yt1rLWX2r71evelN599cmXIsxOpKcrXpRSbJF7iPPXwjD1NSqGh1CruV6/T5qZLuOPWQTpj9DMi2e9LhbP+7sVLXovZ/6WrVqxSeffOJIYsPDwx0///rrr0RFRXH79m1WrVrFQw89RMuWLVm4cKHjkfLLly9z4cIFfHx8uHnzZorbSG1epUqVOHr0KKdPn0bXdRYsWECTJqm3fui6zpkzZ2jZsiXTpk3j77//dsSapFGjRnz33XcA/Pjjj46XrZUuXZo9e/YAOB49Tyu2O9WvX58NGzZw+nRiP8jo6GhOnTqV5jJCiNwhOx4Z14IKYZ7dAMuJRmg3i6I+OoPeYDe6ZwRoeW9gaS+36zze8IDRYeR41TNQZwthNPnUCsPUNGV+/+AHhfnG7fteh735Jky/1ACV/W/sTLkf9wGqFc2eftx1S9/7QzxDhw4lMDCQmjVrUr16dV544QXHy8fq1KlDx44dqVmzJsOGDaNcuXJUq1aN119/nZYtWxIcHEz79u25du0aBQsWpFatWgQFBSV7e3jHjh1ZsGCB48VnSTw8PPjss8/o1KkTwcHBVKhQIcVHwJPY7Xb69etHcHAwoaGhjBs3DrPZuSVgwoQJbNy4keDgYGbOnMmHH34IJA7HtXz5ckJCQvj7778d5Zs3b86uXbuoWbNmshefJSlUqBCff/453bp1Izg4mCZNmjgSbiFE7pYlLz9zMWN6sjrmjf/0rQ6zog8+gL3kfjClfVMvr3i88VTc5LnSVBXLp1HAS9IVkftoKukqUQgDVIlvwyl11ugwcp1LhWIhPgP9slNg/qQB+pAjoOWMF5WdjqzFb+F9srQf954x3lQtkjmPn82dO5fw8HCmTZuWKesTQoicKOHrhcQOHX3f69Gq+WMaWREeMaEXj3hgkum0vLjgB+Ztl5fBpqR9NQs/D/UyOgwh7pncOxOGqq1VkyT7HvnFukF8VKatz/70FsyXa6O/egY0AztK/6O0/y6GNdvFsGZw43Zx1h3sz6rwhpnWjzu/p0YVeVOpEELcE3Pwvb+0EUhsrR78T9/qmjfQPSLQNXlE+k5PNf8f83e8izR7JdekvKQqIneSlmxhqI9t8xltm2J0GLlKjQsFWF0p8/u5mp4OQn1wFbT7fxQ9K8TbvPjzaB9+DX+YVeEluBCdscfc21W1sGSY3BUXQoh7oXSdm8VqoK7duGtZrZo/pmf+aa0uESGt1enQd/YqVh/yNTqMHGfbKG9qlZQXn4ncR5pzhKEeMTU0OoRcp3iUR5asV/9kP/T3RtPz37XssSPxNAo54fgX4HGQ5Uuincq899YVqpU6Shn/w07TX3vxIvWDjvPGSxcd094ed5nfN6Sd3Cf1457a8/76cdcvI5W1EELcK81kwty0QcozXcyYnqiGef0/fat32dCHHEAv9eD0rb5fI5rPNzqEHCefO9QoLqmKyJ3kkysMVclUlpIUNTqMXKXodbe7F8ogtegoqr2OZiucZrkKldz4Y085/thTjl//CMTTy0TzR7ydyrRo7c267WWcpt24YWfPX7Fs3V+eXTtiiYqyc+G8leNH42nSPP2ty0njcY9pP4xNrzTlrzdG8k7nLTQuF4P5Lme1xuXk0TMhhMgIS8tGjp+1KgUxf9IA8/FGaDeLoT45i94o774JPKs1rPgdNUtkzrtW8oqGZS2YTdn/clYhMoNcbQrDPWJuyFf2H40OI9cIiHLN0vWrdX9DowC0jSVR7mfuWn7V0ps0bemF13/e/lm7TvIWd7MZTCbQdYXJlPjzlElXGDM+7aT+btLbj7uAp0a9QGnJFkKIjLC0aYp5XTOodQPdU/pWZ7anm69k6PzO97UO2/J+qLN/oJVsiqX9PFTCTWw/tP23QPTfmB4ag7nm087LrRyMun4s8ZfYq2gBNbF0/A796M/Yt09B8y6GueMCNIsb+plNqHNbMD/06n3FejdNK0iaInIv+fQKwz1ikiT7XvjfyPokUe26BCFxmMLKoXufSLPsz4ui6T3AL13r9fEx0+wRbxrXPEGXXvk4c9qK2QyVqmRe67yf1zm61XmXbnUS+3FvOdqbVeGPsCq8BE0ruMhdcSGEyCBzqVJQ6gY6mf9eEAEdQ/5HyeWPcuZ6xh80NYU8BVUfQz+0AADN1QeXfn8AoJTCNicIU9l2yZaztJvj+Nn26zBMpZoCoO/5FEvvdehhM1B/r4MybdF3zcTc9qsMx5heHatLmiJyL3lcXBiuuakeZqR1Mb0KRmXP11adjMJe6TCmq5VTLRMdbWf7lhhatfNOtcx/jX6tEH/uLc/o1wox9c0rvDKuMO9OvEz/7mdY9nP03VdwD9wst2le9UtHP+4Puu/J1PULIcSDxkILo0PIsyzmeIY32XZf6zCVaAyuKdfJ6sIONM8AtHyBqS6vbPGov9ehlWufOMHsCroNUKBZUEcWYSrbDi2VbWSWoGImyheSa0ORe0mSLQznp/nS1FTH6DByDb8b2bixKzHYy+/GfCYoxdkrf7lJi1beuLvf+6lk47pbVK3uRnSUnTN/W/l6UQk+nXH1fiNOlaa5UsAjJMvWL4QQDwILzYwOIU/rU38K+dyzZt3q2M9oFbukXeb0GrQiddDc/AAw1X4e2+KOqOsn0IrXRz/8I1q1/lkT4B06B7tk+TaEyEqSZIscoYep7d0LCQDy3dCzd4O3E7BV3IL5UEiyWT8viqJrr3z3vEqlFJ/OuMozo/yJidGxJig0DW5ct2dCwCmz0BANzyxbvxBCPAjM1ECjoNFh5Fk+7pEManAk09erlEI/vgxThbSTbP3oEkwVuzp+NwU+jEvf37G0m4O+7ytMNZ5AnVyBbcUA7NvezfQ4k3SpIUm2yN0kyRY5QhfzI7giJ9T08L5xb0NWZQq7jq3GJkxbQhyToqLs/LUjlpat/30r+DNPnGNXWCwAb429RJUSR7hx3U6VEkf4eHqko9zCb6Lo0MUXT08TQTXciYtTPFT9RLr7dmeEhUeybN1CCPGg0DDhQgejw8jTnmjyHi6Z/KS0Or8Vzackmk/x1MvYYlFnNqCVTd7woWKvoS6GYSrTGn3PLMzt5qJunkVdP565gQIVCpmoXlQeFRe5m7xRQOQIfpov7U3N+FlfY3QoOZ7nDath27Y324R5cRP0DvvIl8/M8UvO/bU//uLfyvuNNwN4482AFNfTu7+f42dN05j3Q8ksifdfHrjQPIu3IYQQDwYXepLAPECG6soKRf0O0b3mRRaEFcm0dabrUfFTq9GKNUBz9Uk2T985DXPd0Ynl4m4AGugJYIvJtBiTPFZHGl1E7ict2SLHeMzcyegQcgX363GGbt/e7XdMc6qCyj13mV3ogEbWvqRFCCEeFGZKY6ae0WHkacObf5qh5Ww/dcK+chAqYg3WL6uiX9iBUjr6iRWYKjhfZ9m3vo1+cqXjd/3YEkwpJOLqxilUwk20wjUAMFXpg+2b+mCLB/+U39mSURYTDKqXtUOVCpEdNKWU3IYUOYJN2agQ/wgXuGJ0KDna2foFcDlg/PAp5kmh6K/8DVr83QsbzItfMFPO6DCEECLPsLKaWF40Oow8recnv7H+6IN1g7hTsIUfHve6e0EhcjhpyRY5hkWzMMzS2+gwcjzzjdtGhwCAfVwY2ugioHJ2ZWimviTYQgiRySy0QKOQ0WHkaU83X2B0CNluaH1pxRZ5gyTZIkcZau6JB1k0dkUeYbp+0+gQHPSP9sFAHzTdz+hQUuVK1g81IoQQDxoNCy6k3cdX3J9mVeZSvahx72HJbmUKajxSWV4XJfIGSbJFjuKv5aevuaPRYeRYXgkWiIk1Ogwn6vsjqA6g2QobHUoyJgKx0NjoMIQQIk9ypQdyKZm1RjRfbXQI2WZ4Izc0TTM6DCEyhZwZRY4z0vwYGnKSTUmpGznz0Wy19jSqSTRafAmjQ3HiSj/5LAkhRBYxUVRuZGaxzrXfp3i+vP/6JH8vjWEN5VFxkXdIki1ynMqmcrQyNTI6jBypWJSn0SGkSoVdQtU8h+lWWaND+YcPLsgb64UQIiu58qTRIeRpLuZ4hjUOMzqMLPdsM1c8XeWmuMg7JMkWOdIblqeNDiFHKn4jZ/dXV8dvYK9yFNPVyncvnMVc6YpGzr0pIYQQeYGFYCw8bHQYeVr/hpPxcTM6iqzj5wFPN87DOygeSJJkixypjimITqaWRoeR4wRE5YJHqS7dxl5+N6ZzmTt25r3xwpXHDdy+EEI8ONx4DpAXVmUVX49LDHjohNFhZJkRTdzwdZdWbJG3SJItcqxJlucwYzY6jByl0I1cchFzOwF7+S2YD4cYsnk3HsdEQUO2LYQQDxozZeRN41lsaNNpWPLgVXtBL41nm0ortsh78uDXVeQVlUxlecz8qNFh5Cj+N3LRV9auYwvehGlbzWzdrEYArgzM1m0KIcSDzo3hgIfRYTg5e8ZK+2anqFv1OA2Cj/PzD1EAtGl8ikYhJ2gUcoKyhQ4z5vkLyZb9eHokDYKP0yjkBJ1bRXD5kg2AnxZFUa/acbq0jiA+Xgdg0/pbTJ5wOUv3pUSBfXSucSVLt2GEcW3cyO8prdgi78lFV+ziQTTWMgJ35A5nEr8bqc/rZ4uktPUcA2xXnabrStHSdinZ9CRP2K4Sar1IfetFJtqjHNNn2m9S33qRJ+5Ybr5+m2/02/cUs73JRkwrQu5pmfvhxjNouXis9Y0bN9K9e3dDtj116lTHzxEREYSGhgKwdOlSPvjgA0NiEkLkDiYK40o/o8NwYrHA5BlF2HGwPD+vLs2rz1/k9m2dXzeX4Y895fhjTzkqVHKjfWffZMsOeCI/W/aV54895Wjb0Yf330lMcD+dcZX1O8oSWs+Tdb/dQinFx+9fZeTorH966ukWs7J8G9mpahGTvFFc5FmSZIscrYRWhNGWIUaHkWPki0p9GI+nTN7MMhdINn2+uk2pNPrK9TZ5sdMSwO+WALareDbpcQAs0GPYYgnAjEa4SiBG6SzVY+mr3fvLxOxdNmGaUx1U1j7+byYYFzrf93p0Xb//YHKhO5PsOz366KO88MIL6V6P3W7PrJCEELmIG0PQyGd0GA5FiroQHJLYuh5QxIWC/mauX/v3/HT+nJXTpxJo2CR5vebr+299FROjkzR8s5ubhs2mUEphsWgs+jaKdp188PbO+u5twSV/pXG5mCzfTnaZ1sUds0lasUXeJEm2yPFeNg+lklbG6DByBO/rtlTnNTa54/2fMaGvK53FeiyDTKmPr/2wyR1N03DRNII0Vy6QeAHirmnYAAVY0Jip32K4yRuTlrEK0f7kn5imlgOVVXetTbjz+l3HxR47diyVKlWiRYsWtG3bluXLlwNQsGBBnnnmGYKCgjhy5AjPP/881atXJyQkhLVr1wKwf/9+atWqRUhICCEhIVy+fJnz58/TsGFDatSoQXBwMPv27XPa3qeffsq4ceMcv0+aNIkPPviA6OhoWrRo4Vhf0jbuNGHCBD7++GPH7/7+/o6fp0yZQp06dQgODmbatGkp7uuUKVOoXr06QUFBfPvtt0DylvLu3buzceNGXn/9dW7cuEFISAhPPfWU03rmzp3L6NGjAbhy5Qpdu3YlNDSU+vXrs3v3bgAGDRrE8OHDqVu3Lu+++26afwMhRN6k4YMbOXN0kN1/xWK3Q4mSLo5pS36I5tFuvphSSfSmv3uF6qWP8v28KF56oxAAz7/iT4fmERw/mkD9xp788F0UA4bkz5Z9ABjR4ods21ZWalfNwsOVXO5eUIhcSpJskeO5ai587DL+rsnTg8DrhvWeyr+pR/GSySddX/SbSme1HksjLfHx/MEmL5rbLpNP0yiIiXBlpYXp/h7Dto/difZyMVCZP7SWC90xUy3NMjt27OC3335j//79fP/992zfvt0x79q1a7Rt25b9+/dz4MABjh8/zr59+1iyZAlPPPEEcXFxfPbZZwwfPpw9e/awdetW/Pz8WLBgAc2aNWPv3r3s2rWL8uXLO22za9eu/PTTT47fFy9eTI8ePfDw8OCXX35h165d/Prrr4waNSrd+7p69WrOnj3Ljh072L17NytXriQ8PNypzM6dO1m0aBFhYWFs2rSJcePGcf78+VTX+fbbb+Pn58eePXuYNSv1RxKff/55Xn31VcLCwpg3b55TQn716lW2b9/O66+/nu59EULkLS70wUyo0WE4uXbNxlMDzvHhZ8Wcpv+8KIquvVJveX9xTCHCT1ek/xA/Zn90DYCH2/iweVc55i4syZefXmfoiAKs+OUm/buf4d2JWdsvG6Bl1c+pHJD6DffcwNMVpnfJWf33hchskmSLXKGxKZSBZnlzqfuN+HSX3asSuKF0GqcjMVZK8bT9Oo+bvCmhJT5a3s/kxR8uAbxnzs9UPZqXzb58ab/FANtVvrLfyvA+6B/uRRvky//Zu++oKK42DODPbF96R0QBGxZEURFrRMXee6+xG0uixsTEKGrUJJKo0XxGYyG22HvFhr1hw4KgKNiwANLr7t7vD+JGpMPCbHl/53hkd2dnnl2Y3Xnn3rmXU1kUex2f4mANGaYWuNylS5fQs2dPSCQS2NnZoVWrVurH5HI5OnfuDAC4cOECBg0aBIFAABcXF7i6uiI0NBRNmjTBr7/+ip9++glRUVGQSCRo2LAhtmzZgrlz5yIkJARGRtlPINjb28PW1hb37t1DWFgYjI2NUaFCBTDGMHPmTLi7u6NDhw4IDQ1FRkZGoV5vQEAADh8+jHr16qFBgwaIjIxEWFhYtmUuXryI3r17QyaTwcrKCj4+Prh+/Xqh1p+fkydPYsyYMfDw8EDfvn3x+vVr9WN9+vQBV8yeDoQQ/cBBADkWAsi7B1VZSk9XYXCP5/jqWxs0avrf5/PzZxl49UKBRk0LLvb6D7HAgd0J2e6LjVEg6GoK2nc2xZ/LY/D3jgp4/iwTj8MK/z1dHBzHMLHl6VLdRmmb30mGyjZUghD9Rn/hRGcsFk2HHXJec2xIpHGphV42SJWByywd7plRGKWMxUmWhqmK97kuO1cVDwtwmCw0zfHYI5aJTAAuEOIIS8VGkTUOs1Qks+Jft6z6JxSsG8Ap7Iq9jv9wkGNRoa4DZCzva9o/LY5zM2jQIBw6dAhSqRRt27bFzZs30aJFC1y8eBHly5fHwIEDceDAgRzP69evH3bu3ImdO3eib9++AIAtW7YgOTkZt27dwu3bt2FiYpKjyBaJRNmuD09Pzzp4U6lUmDt3Lm7fvo3bt28jPDwcvXr1KjB/fussiqCgIPW2IyMj1fcX5j0khOg/ARwhw9d8xwBjDBNGvESL1sYYMNQi22P7diagR1+zPE8Mhj/677Px8P4EVKuRfRBWv4XR6i7kce+V4DggM4MhJaX0x/To3dAP9qZ5f59psyaVhJjUouwHO4uLi8OaNWvUt4OCgvD111l/o4GBgbh27Zr6sTlz5uD8+fNlnjE3t2/fRkBAgPr2x5eRjR49GuHh+jt/uq6jIpvoDEvOHKvFC/iOwStRXOEHPBklNEGIuDzuih2wTmiFNpwMy0U5rxtbr0xCMMvEb8Lcryn7RZmAbwRmyASQgqwv9RQwFK3jek4sIBKsZSK49AolWo8EIyFCs0It27RpU+zfvx+ZmZl49+4dAgMDc12uefPm2LZtGxhjiIyMxKNHj1C9enU8efIEVapUwVdffYV27drhwYMHiIyMRLly5TBu3DgMHTo0xzXZwH9dxj90FQeAhIQE2NvbQyQS4dChQ4iJyTn6u7OzM27fvg0AOHHiBJKSsnoQtGvXDmvXrkVKStbfQ0REBOLj47M9t3nz5tizZw/S09Px/v17nD59Gl5eXnBycsKDBw+gUCjw5s0bXLp0Sf0coVBY4KBlrVq1wqpVq9S379y5k+/yhBDDJEEfiNCC1wxXLqZgz/YEHN6XqJ6y6/7drME99+5IQM9+2UcVX/dnLNb9mdUtfOnP0Whc+zGa1X2MI/sT8dOycurlnoRnICFBibr1slrBBwyzQOPa4UhLY3CvW/qzW0hFyRjz2e1S346mGUuAdYPkeV4D/ylNDkL6aZHt6emJJUuWAMhZZM+fPx+fffaZxrZdEp8W2R9bu3YtqlSpUuh1GeqgrnyhIpvolI5Cb0wWDuU7Bm8EcXl30+6ueIcRylicYGmolRmFa6q8WygnK2JxS5XVavq1Kg7PmBKtFG/RPPNNtim6LqnS4cKJ4MAJYcEJUIeToEnma9TlJLDgSv7xwa69BmvwCoLkysV6vhB1IcWUQi/fqFEj+Pj4wM3NDQMGDEDdunVhZpZz6pZevXqhcuXKcHd3R/fu3fHXX39BJpNh+/bt6sHQXr16hZ49eyIwMBB169ZFvXr1cOzYMYwePTrH+uzt7WFjYwOZTIYKFbJOKgwePBjnz5+Hu7s7Dh8+DCcnp1xzREZGqpexts6aIqZDhw7o2bMnGjdujNq1a2PIkCFIS0vL9lxPT0/07dsXDRo0QIsWLTBv3jw4ODjAyckJnTp1Qq1atTB69GjUq/ffPObDhw+Hu7t7joHPPrZixQr1a65Zsya2bt1auDefEGJwZJgPDha8bb9Jc2PEqdzU03VduF0Fbu5ZRfDpq1nTcH1s1HgrjBqf1WNu5VpHXLlXFRfvVMWOQ85wrPDfIF2Vq0iwcq2j+vaUGTa4er8qNu6sWGaXzIxothhGOjb71c/dZahqm/8o7BEREXB3d8eAAQNQq1YtJCcnY/r06WjYsCHq1q2rHsTT398fvXv3RosWLeDq6oply5ap17Fp0yb18tOmTQMAfP/993jw4AE8PDwwf/589SCgz58/x59//omffvoJHh4euH37NkaMGKEeFDUgIAAeHh6oXbs2pk2bpu4RZ2NjgxkzZsDd3R0+Pj5ITs46dlq2bBmqV6+OunXrYsKECTleX3R0NLp27Yo6deqgZcuWiIiIAIBs20xKSoKLiwuUSiXmzJmDjRs3wsPDA0eOHMm2rpYtW6rHYzl+/DiaNGmCevXqYciQIeqecR8P6vrpZWWkdHEsv/6ThGihDJaJlhmDcZM94DtKmRIrBXhhFQfo4y5rbwxhsBtUlqFFeJIpTLALAjgWvOhHkpKSYGJigvfv38PLywuXL1/ONmo3IYQQzcnEMaRiBt8x9NJ3u7ZgzQUXvmMUSr96YmweXvAlRREREahatSpu3ryJOnXqYM2aNUhISMCMGTOQmpqKxo0b4/Tp0zh48CDmzJmD4OBgiEQieHp64vDhw8jIyMAPP/yAbdu2QSQSYdiwYejfvz/c3NzQp08fBAUFAchqvV65ciV27doFX19f2NjYYNKkSQCyCt4+ffrAx8cHNWrUwNmzZ+Hk5ISuXbti1KhR6NWrFziOw4kTJ9CmTRsMGzYMbdu2xdChQ2FlZYXnz5/D2NgY8fHxMDfPfinbpEmT4OTkhJkzZ2L79u3YsmULDhw4oN5mly5dkJSUhNq1ayMiIgL+/v64d++eehaRj7O2bNkSK1euRLly5TBgwAAcPHgQcrkcc+bMgb29Pb744gtwHIdDhw6px5whZYdasonOkXBibBL7wVRLBlUpKxXjjPWzwAaAN8lQVr0DwcvahX6KHPOKXGADwKhRo+Dh4YFmzZrhu+++owKbEEJKkRgdIAYd4JeGcS1/hS5MM12znACrBxR+NHFXV1fUqVMHQFZL8tq1a+Hh4YEmTZogPj4eT548AZDVq8vCwgImJibo1KkTLl++jFOnTuHKlSvw9PSEh4cHrly5gsePHxcrd2hoKKpXrw4XFxcIBAJ1DzQAMDExQZs2bQAADRo0ULdIe3l5YciQIdi6dSvE4pxTlF24cAFDhgwBkDVey8fd1IvrypUrCA4ORpMmTeDh4YGdO3fi6dOnALIP6krKlojvAIQURxWBE/4Qz8WwzJl8RykzFeL1fFCpxHQoXa9AdLM5lNVv57uoGH0hRrtibWb79u3Feh4hhJDikcEXSjyBCiF8R9ErzjY30a1OLPbd0d5BYU2lwI6RRjCWFv5swMeDaKpUKqxevRre3t7Zlrl//362rvkcx4HjOKhUKowZMwZz587NtvyHIlhTpNL/BsL7eDyTw4cPIzAwEPv27cPSpUsLnNXjw2v4eFDSog5IqlKp0LlzZ2zYsCHHYzQgKX+oJZvorH7CTvhGOJbvGGXGMa70B1PhXaYSCvezEF6rl+ciAlSDDN+WYShCCCElwUEOI/wODtZ8R9E7E1ut5TtCvtYMNEJ1+/yvw85Pu3bt8L///U9dxN67d0/987FjxxAfH4/k5GQcPXoUjRs3ho+PD7Zv364eTPTt27eIioqCqakpEhMTc91GXo9Vr14dYWFhiIyMhEqlwj///IMWLfIezE+lUuH58+fw8fGBn58fnj17lmMw0ebNm6vHMtm1axe8vLwAZB/odM+ePQVm+1iTJk1w5swZ9WwfCQkJ6pZswh8qsolO8xVNRl9BB75jlAn7eB0b4aQEFM0DIThSN8f9HGxghJXgIM3lWYQQQrSVAA6QYzkAw/kuKwv1XfajcaXCT+9Zlr5tK0Vvj5xdpotizJgxcHFxQb169VC7dm189dVX6sHHGjZsiK5du6JevXoYO3YsqlSpAjc3N3z//ffw8fFBnTp10LlzZ8TGxsLa2hr169eHu7s75s+fn20bXbt2xT///KMe+OwDuVyONWvWoHv37qhTpw6qVauGHj165JlVqVRi8ODBqFOnDjw9PTFnzhwIhdlPMPj6+iIwMBB16tTBH3/8geXLlwPImo7r0KFD8PDwwLNnz9TLt2rVCjdv3kS9evVyDHz2ga2tLf766y/07t0bderUQYsWLbJNr0n4QQOfEZ2XxtLRIeNzXGH6PZXQor21MGr4Zb5jlCnh2mZQDQ0BOCUAYxjDH0LU5DsWIYSQYsrEEaTiGwB0+KkpR4O/wND1g/iOkc1wLzH+GlR6XZU/HRCMEG1DLdlE58k4KXZIfocLV7L5lrWddbzh7a7K0Rch+LUqwIxghKVUYBNCiI4ToxOkmMZ3DL3SvvafqGqrLHjBMtKxlgir+hd+oDNC9JHhHbUTvWTHWeOg+E84wJbvKKXG8r0ODCFaCpSzgyA7OxciNOU7CiGEEA2QYiQkGMJ3DL0hECgxwfss3zEAAJ5OQmwdbgSRsHSPWUaMGEGt2ESrUZFN9EY1gQuOSdahHPRzSiaLeAPsWsdxkP+xGJKWNP0EIYToEylmQowefMfQG/28lsDGmN/jhFrlBNg/tmgjiROir6jIJnqluqAyjknWwQ7aO51FcZm+156uYGVF9qsvJKO06zozQgghJcdBABkWQILBfEfRC3JJAkY3v8vb9uuUF+DkJGPYmlBpQQhARTbRQzUEVXBMsh62elZoG8dl8h2h7HAcZD99D+mkz/lOQgghpJRw4CDDLEgwnu8oemHkZz9DVrLBvIulfkUhAr4whg0V2ISo0d5A9FItQVUcl6yHI+z5jqIx8vgMviOUDYkEcv/lkE6jgy5CCDEEMkyCFDP4jqHzrE0iMNDzeZlus5GzEMcnGsPKmEoKQj5GewTRW7UEVXFOuhXunCvfUTRCEpfGd4RSx1lZwPjoFkgG9uQ7CiGEkDIkxQjI4As6NC2ZCa2WgSujS6LbVhfhyARjmMvpGmxCPkWfZESvOXL2OCXZCB9BE76jlJj4fTLfEUqVoIozjM/th+izxnxHIYQQwgMJ+kCOnwCI+I6isyrbXUEnt7hS3864ZhLsH2sEUxkV2ITkhopsovfMOBPsE/8PQ4U9+I5SIoK4JL4jlBph4wYwPrcfQtfKfEchhBDCIzE6wQirwOnZuCplaWIr/1Jbt1AA/NpThhV95aU+TRchuoyKbGIQxJwYf4l/xCLRNAgh5DtOkXEM4OL1s8gW9eoM44BtENha8x2FEEKIFhChCYyxC0I04DuKTmpUZSc8ndI1vl5TKbB7lBEme0s1vm5C9A0V2cSgTBN9jiPiv2AP3SroHOONAZWK7xiaJRRC+t1UGP2zCpxMxncaQgghWkQAOxhhHST4HAC1mBbVF60OanR9HhUEuDLDBJ3ceBi+nBAdREU2MTjeQi9cle5GK4HuXPtbIcGI7wgaJahaCcaBeyDznQGurEZoIYQQolM4iCDDNMixEhzM+Y6jUzrVXQkXa82cnJ/UQoILX5qgmq3u9QQkhC9UZBODVI6zwWHxGswTTYFYBwZYcYyT8x1BYyTjh8Ek6DhEjerzHYUQQogOEMP73+7jdfiOojOEgkxMaHGxROuwNuawZ7QRfuslh0REJ8QJKQoqsonBEnACfCMai8uSHWjIufMdJ1/l4iR8RygxzrEcjA5vhvz3heCM9OekASGEkNIngAOM8DckGAUafbxwBjT+GZbF7AjX2U2EoK9N0KU2dQ8npDioyCYGr7bAFWclW/Cz6GsYQTuLP/s43f6SE/fvDtObJyBu6813FEIIITqKgxgyfAVj7IYQunPJF1+Mpe/xedMHRXqOgxmHbSONsHeMMRwtqEwgpLho7yEEWa3aU0XDESTZg9ZaeK22TbxuXgfFOTnCaOsqGG1aCc7Sgu84hBBC9IAQVWCMtZBjCTjY8x1Hq41q8TMkhTiE4DhgbFMJgmeZoldd3T6xT4g2oCKbkI9UFlTEEcla7BT/DleuEt9x1Czf69a1UJy1JWS//ADT+2ch7tOF7ziEEEL0kBgdYYKDkGAkqAt57uzMHqN/g1f5LtOsshDnphpjZT85zOW6dbxBiLaiIpuQXHQVtsZNyV6sEP2gFdN9WcQzviMUjrERpN9OhunDC5B+ORaclObSJIQQUno4GEGG6dSFPB8TWv+O3CbyqFVOgN2jjXBmigkaudBJCkI0iYpsQvIg4kQYI+qP+9Kj+F44AeYw5S2LWZyWz5EtFkMyfhhMQ85DNn8mOHMzvhMRQggxIB+6kBthPYTw4juOVnEtdx5taySob1ew4LBmgBw3ZpqgKw1sRkip4BhjOtJERgi/ElgS1it3YYViE17iTZlu+/YoVzjsvF6m2ywUoRDiPl0g9Z0BYRUXvtMQQgghAAAFbiEDa6DAeb6jaIWLYYPw9a7JmN5aisGeYpqSi5BSRkU2IUWUyTKxQ3UUyxT+uMvCymSbob1dYHHiTplsqzA4W2tIPh8IydihEFQsz3ccQgghJFdKhCMDm5CJgwDS+Y7DCyEaQ4IhEKq8IRBQcU1IWaAim5ASOKu8hk3K/dirCkAyUkttOxE+9pBfL5uCPj/C5l6QfD4I4r5d6HprQgghOkOF98jETmTiEFR4wnecMmACMTpmFdeowncYQgwOXZNNSAl4C72wVrIQz6RnsVa8EC0FjcBB82eJxe9TNL7OwuKcHCGdNQUmIedhcno3JEN6U4FNCCF6KDAwEH369OFl27/88ov654iICHh6egIADhw4gKVLl5Z4/QJYQoqxMMEBGGMPJBgLAZxLvF7tYgoxukKOlTDFOcgxlwpsQnhCLdmEaNgzFoXDyjM4pjqPs6prSNNA97TXVQTg3r3XQLpCEAohbOgBUZsWELXzhtCrHjgBnY8jhJCyoFKpIODpMzcwMBArV67Erl27ynzbNjY2iI6OBpBVZPfp0wdBQUFFXo9SqYRQWIiJoT8sjxBk4hgycRwML4q8Pf6ZQYzWEKEdRGgCDjSQGSHagI6cCdEwJ84BE0SDsF+yCq+kF7BHvBJjhf1RiatQ7HVy7xM1mDCX9TtXgHjUIBhtWw2zqDswObcPsjnTIGrcgJcCe/To0QgPD8/z8WXLliEjI6MMExVPXFwc1qxZo779cSvRn3/+ie3bt/MVjRDCgx9++AHVq1dH69at0bFjRxw6dAgAYG1tjUmTJsHd3R2hoaH48ssvUbt2bXh4eODkyZMAgLt376J+/frw8PCAh4cH3r59i1evXqFZs2aoW7cu6tSpg+Dg4GzbW7VqFebMmaO+PX/+fCxduhQJCQlo3bq1en0ftvExX19frFy5Un3bxsZG/fPPP/+Mhg0bok6dOvDz88v1tf7888+oXbs23N3dsWXLFgA5W8r79OmDwMBAfP/994iLi4OHhwfGjx+fbT3+/v6YMWMGAODdu3fo1asXPD090aRJE9y6dQsAMGLECEyYMAFeXl746aefCvgtZCdETcjwFUxxDMb4B1JMhQgtwcGySOspO2II4A4JBsEIq2GKs5DjR4jRggpsQrQITYpHSCky4uToJGyJTsKWAIC3LAZBqru4prqL6ywYQap7iEf+BbRdkgxQxGsulIU5hDWqQlC9CoT13CFq0wJC18qaW38R5NXisHbt2nyft2zZMowePRoSiaS0omnEhyJ77NixOR779ECyIEVtnSGEaJdr167h+PHjuHv3LuLi4lCjRg188cUXAIDY2Fh07NhR3Yr8+PFjBAcH49mzZ2jZsiUePnyINWvWYMKECRgzZgxSU1MhFAqxYsUKtGzZEgsXLoRCochx8rFXr17w8fHB/PnzAQC7d+/G4cOHIZfLsX//fpiamuL169do37497twp3OCaAQEBePHiBa5duwaVSoW2bduiQ4cOqF27tnqZ69evY8eOHQgKCkJKSgoaNmyIVq1a5bnOhQsXYvXq1bh9+zaArJbs3Hz55ZeYNWsWGjZsiEePHmHIkCG4evUqACAmJgZXr14Fl9uE0IUkhDuEcFffVuEZFLgNJe5AiWCoEAZAWez1F4cATv/mqgMB3CFEDXDQ7u8+QggV2YSUKTvOOlvRzRhDJHuFJ+w5wtkzPGHP1D9HsXd4jwRUjDMu2kYEAsDYCJyVBYSulSGoXhWCGlUh/Pd/gb2txl5PREQEunXrhho1auDu3bvw8vLCunXrIBKJEBQUhOnTpyMpKQnly5fH33//DSsrK7i4uGDAgAE4fvw4fvnlFwQEBODAgQOQyWTo27cvZs+ejZYtW2LlypWoWbMmhg8fjps3b0IoFGLatGlISUnBq1ev0LRpU7i4uODAgQM4fvw4fH19kZaWBjc3N6xfvx4SiQQ2NjYYMWIEjh8/Djs7Oxw4cADGxsYICwvDuHHjEBsbC4lEgpMnT8LExAQzZ87EuXPnkJGRgZkzZ2Lw4MHZXi9jDF999RVOnjwJkUgEPz8/tGnTBv7+/rh37566RcfT0xO7du3C999/jwcPHsDDwwO9evVCixYt1Ovy9fWFjY0NJk2ahPDwcEycOBExMTEwMzPD+vXr4eLigpYtW8LDwwMXLlzApEmTMGLECI397gghZevSpUvo2bMnJBIJ7OzsshWdcrkcnTt3BgBcuHABgwYNgkAggIuLC1xdXREaGoomTZpg/vz5iImJQb9+/VC5cmU0bNgQw4YNg0gkQp8+feDu7p5tm/b29rC1tcW9e/cgkUhgbGyMChUqqD/jLly4AKFQiNDQ0EL3DgoICMDhw4dx/nzW1FiJiYkICwvLVmRfvHgRvXv3hkwmg0wmg4+PD65fvw5zc/MSvYcnT57E/fv31bffv//vMqo+ffqUqMDOjQBOkMAJQDcAAEMKlAgFQxRUeA2G11D9+4/hDRhiARTtKkwO5uBgBw52EHz0vwAVIERtcCjZe0YI4QcV2YTwiOM4uHCOcIEjWqNxjseVTIlE53iYhCQASSlgyclgSclAegY4IzlgYgzOSA7OxDjrZ2OjrPvL0L1797B+/Xp4enpi0KBB2Lx5MwYPHozp06dj7969sLKywvr167F48WIsWbIEAFCxYkXcunULMTExGDVqFCIiIiAQCBAfn73F/vbt23j69CkePHgAAIiPj4e5uTmWLFmCS5cuwcTEBNHR0ViyZAlOnz4NuVyOOXPm4K+//sIXX3yBmJgYdOjQAX5+fhg2bBj27NmDoUOHYsiQIfjxxx/Rrl07JCUlQSqVYt26dXBwcMD169eRmpqKxo0bo0OHDrC2tlbn2b17d64tTHlZuHAhQkND1dcVBgYG5rrcxIkTsXr1ari4uOD06dP4+uuvsXPnTgCAWCwu1nWJhBDtkt8QOEZGRgU+f9CgQfDy8sLBgwfRtm1b7Ny5Ey1atMDFixdx6NAhDBw4EIsWLUK3bt2yPa9fv37YuXMnJBIJ+vbtCwDYsmULkpOTcevWLYhEItjY2OQoskUiEVQqlfp2enrW+CIqlQpz587F8OHDC/3aC1pnUQQFBUEkynn4Wpj3sKQ4GEGEegDq5fo4Q8a/xXYiGDIBKABkIqv1W4isqzRFAIQQwOrf4poGEiVEH1GRTYgWE3JCWIitgCpWfEfJU9WqVdWjwA4YMAAHDhyAp6cn7ty5g9atWwMAFAoF3Nzc1M/5cKBnbm4Oc3NzfP755+jRowe6dOmSbd2VK1fGq1ev8MUXX6B79+5o165dju1fuXIFwcHBaNKkCYCsg7YPLUImJiZo06YNAKBBgwaIiIhAQkICYmNj1esyMTEBkNU6c+/ePWzevBlAVkH/5MmTbEV2Xi1MJZGUlITz58+jR48eALIOxI2N/+u98OG9IoTotqZNm2Lq1KmYMWMG4uLiEBgYiJEjR+ZYrnnz5ti4cSMGDhyIZ8+e4dGjR6hevTqePHmCKlWq4KuvvkJYWBgePHgAa2trVKhQAePGjUNcXByCg4NzFNm9evVCmzZtIBaLceDAAQBAQkIC7O3tIRKJcOjQIcTExOTI4ezsjDNnzgAATpw4gaSkJABAu3btsHDhQvTt2xdGRkaIiIiApaVltlbq5s2bY/z48Zg+fTpSUlJw+vRpzJs3D5mZmXjw4AEUCgViYmJw6dIlTJ8+HQAgFAoLvCymVatWWLVqFSZPngwAuHPnDurWrVuUX0Op4iABh4p8xyCEaAEqsgkhJfJx9zyO48BxHFQqFerVq6c+QPvUhxaHD93KAwICsG3bNmzevDnbqLaWlpa4e/cujhw5gqVLlyIgICDHIDsqlQqdO3fGhg0bcmxH+tFUYx8O4PKiUqmwevVqeHt7F+6Ff6QkrTMqlQr29vbqaxE/VRatM4SQ0teoUSP4+PjAzc0NFStWRN26dWFmZpZjuV69euHChQtwd3eHSCTCX3/9BZlMhu3bt2Pz5s0Qi8VwdnZGz549sWvXLixZsgRisRgWFhb4559/cqzP3t4eNjY2SE9PR4UKWQNwDh48GF26dIG7uzuaN28OJyenXHP4+/vD3d0dPj4+6hOOHTp0wIMHD9C4cWOoVCpYWFhg9+7d2YpsT09P9O3bFw0aNADHcZg3bx4cHBwAAJ06dUKtWrVQvXp11Kv3X4vw8OHD4e7ujhYtWuDbb7/N9T1csWIFxo8fj7Vr1yIjIwPdunXTqiKbEELUGCGEFNPTp08Zx3Hsxo0bjDHGBg8ezPz9/Vl6ejqrUqUKCwoKYowxlpaWxkJCQhhjjDk7O7PExETGGGOJiYnszZs3jDHGXr9+zapUqcIYY8zb25vdvXuXvXv3jsXHxzPGGLty5Qrz8fFhjDFWu3Zt9urVK8YYY2/fvmXOzs4sIiKCMcZYfHw8e/LkCWOMMWtra3XWFStWsLlz5zLGGGvYsCELCAhQZ8jIyGCrVq1i/fr1YwqFgjHG2N27d9U/f7Bz507WtWtXplKpWEREBHNxcWGpqans3LlzrHXr1owxxu7fv8/EYjF7+vQpi46OZq6ururnnzlzhvXu3ZsxxtjcuXPZihUrGGOMNWrUiB04cIAxxphCoWB3797N9j4QQvTDh8++2NhYVrVqVfbu3TueExFCCCkN1JJNCCmR2rVr4+eff0ZwcDAaNmyIQYMGQSwWY/v27Zg6dSoSExOhVCrxww8/oEaNGtmem5iYiO7du6tbfn/++edsj798+RIjRoyASqWCSCTCsmXLAABjxoxBq1at4OrqigMHDuCvv/5C7969kZGRAYFAgGXLlqFSpUp5Zt60aRPGjh2L6dOnQy6XIyAgAGPGjMHTp09Rr149qFQqODg44OjRo9mel1cLU/PmzWFjY4OaNWuiQYMGqFmzJoCsaXnq168Pd3d39O3bN9vAZx/bunUrxo8fj9mzZyMzMxPjxo3LNogQIUQ/jBo1Sj3I2HfffZdtWixCCCH6g2Msn5E4CCEkHxEREejTpw8NzEUIIYQQQsi/BHwHIIQQQgghhBBC9AW1ZBNCCCGEEEIIIRpCLdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2QVo2bIlvvzyS42uMyIiAhzH4fbt23kuExgYCI7jEBcXp9Ft58bX1xceHh6luo0RI0agR48epboNots0va99ug/5+/vDwsJCY+vXJE3s7y4uLli2bJnGMhFCdE9pHLMQQrKUxfEy0R9UZBNCDEL//v0RFhamsfWV5Ymwj+V1suD69esYO3ZsmWb5FBX6hBBC9NWMGTNw6tSpQi1LBTkR8R2AEELKglwuh1wu5ztGqbG1teU7AiE6LyMjAxKJhO8YhJAyplQqwXEcBIK82x9NTExgYmJShqmILqOW7EJQKBSYNGkSzM3NYWNjgx9++AGMMQAAx3HYt29ftuUtLCzg7++vvn3t2jXUq1cPMpkMnp6euHXrVo5tHDlyBK6urpDL5WjVqhUiIiLUjyUnJ8PMzAy7du3K9px9+/bB2NgYiYmJBb6GFy9eYODAgbCysoKxsTE8PT1x9erVbMts2rQJLi4uMDc3x4ABA7KtV6VSYfHixahUqRLkcjnq1q2bI8/9+/fRpUsXmJmZwdTUFJ999hnCw8NzzXP9+nXY2tri559/LjA70T/JyckYNmwYTExM4ODggF9//TXb4wXtVx8uudi2bRuaNm0KmUyG2rVr4+zZs3luM7cW4IMHD6Jhw4aQyWSwsbFBz5491Y9t2rQJnp6eMDU1Rbly5TBo0CC8fftWvf1WrVoBACwtLcFxHEaMGAGgcPtKfvt7fgIDAzFy5EjEx8eD4zhwHAdfX18AOVuROY7D6tWr0aVLFxgZGaFmzZq4fPkyHj9+jJYtW8LY2BhNmzbNsY/u378f9evXh0wmQ+XKlTFv3jwoFAoAAGMMvr6+cHJyglQqRfny5TFlyhQAWd1UIyMj8dVXX6mzAUBMTAwGDhwIR0dHGBkZwd3dHf/880+2bbZs2RKTJ0/Gl19+CUtLS9jb2+Ovv/5CcnIyRo4cCVNTU1StWhVHjx7N9l5wHIfDhw+jTp06kMlkaNy4Me7du1eo95IYhsTERAwePBjGxsZwcHDA0qVLs3WpdnFxwYIFCzBs2DCYmZmpe4Ps3r0bbm5ukEqlcHFxyfEZ9b///Q/VqlWDTCaDvb09+vTpo35s165dcHd3h1wuh7W1Ndq0aYPk5OR8cwYEBEAmk+XoGTN16lS0bt0aQOH2pU8V5hjl+fPn6NevHywsLGBlZYXu3bsX+jOJEL60bNkSkyZNyvP4PD09HTNmzICjoyOMjY3RqFEjBAYGqp//4ZjgwIEDqFWrFqRSKZ49e4bAwEB4eXnB2NgYFhYWaNasGSIjIwHkbJ3Oa1l/f3/MmzcPd+7cUX8fftjn4uLiMHr0aNja2sLMzAytW7fGnTt31Ov8sI2Cjsl/+eUXVK1aFVKpFE5OTli4cKH6cdqntQQj+fL29mYmJiZs6tSp7OHDh2zz5s3MyMiIrVmzhjHGGAC2d+/ebM8xNzdnGzZsYIwxlpiYyGxtbdmgQYPYvXv32MGDB1nlypUZAHbr1i3GGGPPnj1jUqmUTZs2Tb0Ne3t7BoC9f/+eMcbYmDFjWKdOnbJtp1u3bmzYsGEFvobExERWuXJl9tlnn7Hz58+zR48ese3bt7NLly4xxhibO3cuMzExYb169WJ3795l586dY+XKlWPfffedeh0//vgjq1GjBjt27BgLDw9nGzZsYFKplAUGBjLGGHvx4gWzsrJivXr1YtevX2ehoaFs/fr17OHDh4wxxoYPH866d+/OGGPs1KlTzNzcnK1evbrQvweiXyZMmMCcnJzYyZMnWXBwMOvSpQszNTVlU6dOZYwVvF89ffqUAWAVKlRgu3btYg8ePGCjR49mpqamLDo6mjHG2JkzZ7LtQxs2bGDm5ubq9R06dIgJhUI2Z84c9uDBA3b79m22aNEi9ePr1q1jR44cYeHh4ezy5cusSZMmrGPHjowxxhQKBdu9ezcDwEJDQ1lUVBSLi4tjjBW8rxRmf89Leno6W7ZsGTMzM2NRUVEsKiqKJSYmMsYYc3Z2ZkuXLlUvC4A5Ojqy7du3s9DQUNajRw/m4uLCWrduzY4dO8YePHjAGjduzDp06KB+zrlz55iZmRnz9/dn4eHhLCAggLm4uDBfX1/GGGM7d+5kZmZm7MiRIywyMpJdvXpV/VkYExPDKlSowObPn6/OxljWZ8OSJUvYrVu3WHh4OPv999+ZUChkV69eVW/X29ubmZqasgULFrCwsDC2YMECJhQKWceOHdmaNWtYWFgYmzBhArO2tmbJycnZfr81a9ZkAQEB6r8jFxcXlpGRke/7SAzH6NGjmbOzMzt58iS7e/cu69mzZ7bPGmdnZ2ZmZsb8/PzY48eP2ePHj1lQUBATCARs/vz5LDQ0lG3YsIHJ5XL158/169eZUChkW7duZREREezmzZts+fLljDHGXr16xUQiEfvtt9/Y06dPWXBwMPvjjz/U+2leFAoFs7e3Z2vXrs3zvsLuSx9eG2MFf5ZmZGSwmjVrss8//5wFBwezBw8esEGDBrHq1auz9PT0YrzjhJSNgo7PR48ezZo2bcrOnTvHHj9+zJYsWcKkUikLCwtjjGUdE4jFYta0aVN28eJF9vDhQxYfH8/Mzc3ZjBkz2OPHj9mDBw+Yv78/i4yMZIxlHS/XrVuXMcZYZmZmnsumpKSw6dOnMzc3N/X3YUpKCmOMsTZt2rCuXbuy69evs7CwMDZ9+nRmbW3NYmJi1Nso6Jh85syZzNLSkvn7+7PHjx+z8+fPs7/++osxRvu0NqEiuwDe3t6sZs2aTKVSqe/75ptvWM2aNRljBX+BrV69mllbW7PU1FT146tWrcpWZM+aNYvVqlUr2zq++eabbAfdV69eZUKhkL169YoxxtibN2+YSCRSH7jnZ/Xq1czU1FS9A39q7ty5zMjIiCUkJKjv+/rrr1mjRo0YY4ylpaUxIyMjdVH+wahRo9jAgQPVr6FSpUp5Htx+KLL37NnDTExM2LZt2wrMTfRTYmIik0gkbMeOHer7YmJimFwuL3KR/dNPP6kfz8zMZBUqVGA///wzY6zgIrtJkyZs8ODBhc59/fp1BkB9sPzp+hkr/L5S0P6en09fxwe5FdmzZ89W3758+TIDwNatW6e+759//mEymUx928fHJ9uJBsYY27RpE3NwcGCMMfbrr78yV1fXPPfzTzPkpXPnzmz69Onq297e3qx58+bq2wqFghkbG7OhQ4eq74uKimIA2OXLlxlj/73/H3+WfPg72r59e4EZiP5LSEhgYrGY7dy5U31fXFwcMzIyylZk9+jRI9vzBg0axNq2bZvtvq+//lq93+7evZuZmZll+8784MaNGwwAi4iIKHLeqVOnstatW6tvHz9+nEml0nw/F3Lbl4pSZG/atIlVr1492zFOeno6k8vl7Pjx40V+DYSUlfyOzyMjI5lQKGQvX77M9hwfHx82a9YsxljWdykAdvv2bfXjMTExDECex9YfF9lFWfaD8+fPMzMzM5aWlpbt/ipVqqgbngo6Jk9ISGBSqVRdVH+K9mntQd3FC6Fx48bqro8A0KRJEzx69AhKpbLA54aEhKi7Mn78/E+XadSoUbb7Pl3Gy8sLbm5u+PvvvwEAmzdvhrOzM1q0aFFghtu3b6NevXqwsrLKcxkXFxeYmpqqbzs4OKi7xj5+/BgpKSlo27at+noUExMTbNy4Ud3V9Pbt2/jss88gFovz3MbVq1fRt29fbNq0Cf379y8wN9FP4eHhyMjIyPY3b2VlherVqxd5XR/vJyKRCJ6enggJCSnUc2/fvg0fH588H79x4wa6du0KJycnmJqawtvbGwDw7NmzPJ9TmH2lMPu7ptSpU0f9s729PQDA3d09231paWlISEgAANy5cwfz58/Pln3MmDGIiopCSkoK+vbti9TUVFSuXBljxozB3r171V3J86JUKrFgwQK4u7vDysoKJiYmOH78eI738eOsQqEQ1tbWObICUH8uffDxe/fh76iwfwNEvz158gSZmZnw8vJS32dubp7js8bT0zPb7ZCQEDRr1izbfc2aNVN/77dt2xbOzs6oXLkyhg4dii1btiAlJQUAULduXfj4+MDd3R19+/bFX3/9hffv3xcq7+DBgxEYGIhXr14BALZs2YLOnTurL3Mp7L5UFHfu3MHjx49hamqq3uetrKyQlpaW5+VehGiLvI7P7969C6VSCVdX12zfZ2fPns32dy2RSLJ991hZWWHEiBFo3749unbtiuXLlyMqKirXbRdl2Q/u3LmDpKQkWFtbZ8v19OnTbLnyOyYPCQlBenp6nscvtE9rDxr4rIQ4jlNf//FBZmZmqWxr9OjR+OOPP/Dtt99iw4YNGDlyZLYPl7wUZrCnT4tjjuOgUqkAAElJSQCAw4cPw9HRMdtyUqm00NuoUqUKrK2tsX79enTu3DnfgpwYtrLYr/L7m01OTkb79u3Rvn17bNmyBba2tnj27Bnat2+PjIyMPJ9XmH2lLH28j334rMjtvo/39Xnz5qFXr1451iWTyVCxYkWEhobi5MmTOHHiBCZOnIglS5bg7Nmzee7PS5YswfLly7Fs2TK4u7vD2NgYX375ZY73MbfPoPyyEqIpxsbGRVre1NQUN2/eRGBgIAICAjBnzhz4+vri+vXrsLCwwIkTJ3Dp0iUEBARgxYoV+P7773H16lVUqlQp3/U2bNgQVapUwbZt2zBhwgTs3bs327XThd2XPlbQZ2lSUhIaNGiALVu25HguDaZIdFVSUhKEQiFu3LgBoVCY7bGPBy6Ty+U5jqM3bNiAKVOm4NixY9i+fTtmz56NEydOoHHjxjm2U5RlP+RycHDIdm34Bx+PGZPfMXlBx9u0T2sPaskuhE8HCLty5QqqVasGoVAIW1vbbGeuHj16pD6jDQA1a9ZEcHAw0tLSsj3/YzVr1sS1a9dybONTQ4YMQWRkJH7//Xc8ePAAw4cPL1T+OnXq4Pbt24iNjS3U8p/6eECIqlWrZvtXsWJF9TbOnz+fbyFkY2OD06dP4/Hjx+jXr1+pnYwg2q1KlSoQi8XZ9qv3799nm16roP3qg4/3E4VCgRs3bqBmzZqFylGnTp08p+J4+PAhYmJi8NNPP+Gzzz5DjRo1crSgfhiB+OMeLYXZVwq7v+dFIpEUqhdNcdSvXx+hoaE5sletWlU94qpcLkfXrl3x+++/IzAwEJcvX8bdu3fzzHbx4kV0794dQ4YMQd26dVG5cmWNTqX28Xv34e+osH8DRL9VrlwZYrEY169fV98XHx9f4N9fzZo1cfHixWz3Xbx4Ea6uruoDdpFIhDZt2uCXX35BcHAwIiIicPr0aQBZB8TNmjXDvHnzcOvWLUgkEuzdu7dQmQcPHowtW7bg4MGDEAgE6Ny5c7YMRd2XCvosrV+/Ph49egQ7O7sc+7y5uXmhMhPCl7yOz+vVqwelUom3b9/m+LsuV65cgeutV68eZs2ahUuXLqF27drYunVrkZfN7fuwfv36eP36NUQiUY5cNjY2hXrN1apVg1wuz/P4hfZp7UFFdiE8e/YM06ZNQ2hoKP755x+sWLECU6dOBQC0bt0aK1euxK1btxAUFITx48dnOwM1aNAgcByHMWPG4MGDBzhy5Aj8/PyyrX/8+PF49OgRvv76a4SGhmLr1q3Zzl5/YGlpiV69euHrr79Gu3btUKFChULlHzhwIMqVK4cePXrg4sWLePLkCXbv3o3Lly8X6vmmpqaYMWMGvvrqK/z9998IDw/HzZs3sWLFCnX39UmTJiEhIQEDBgxAUFAQHj16hE2bNiE0NDTbuuzs7HD69Gk8fPgQAwcOLLCrKdE/JiYmGDVqFL7++mucPn0a9+7dw4gRI7JNm1HQfvXBH3/8gb179+Lhw4f44osv8P79e3z++eeFyjF37lz8888/mDt3LkJCQnD37l31aPdOTk6QSCRYsWIFnjx5ggMHDmDBggXZnu/s7AyO43Do0CG8e/cOSUlJhdpXCru/58XFxQVJSUk4deoUoqOjcz35UFxz5szBxo0bMW/ePNy/fx8hISHYtm0bZs+eDSBrNNZ169bh3r17ePLkCTZv3gy5XA5nZ2d1tnPnzuHly5eIjo4GkHVA8KFlLyQkBOPGjcObN280lnn+/Pk4deqU+u/IxsYGPXr00Nj6ie4yNTXF8OHD8fXXX+PMmTO4f/8+Ro0aBYFAkG8vsOnTp+PUqVNYsGABwsLC8Pfff2PlypWYMWMGAODQoUP4/fffcfv2bURGRmLjxo1QqVSoXr06rl69ikWLFiEoKAjPnj3Dnj178O7du0Kf+Bk8eDBu3ryJhQsXok+fPtl6wBRnXyros3Tw4MGwsbFB9+7dcf78eTx9+hSBgYGYMmUKXrx4UajMhPAlr+NzV1dXDB48GMOGDcOePXvw9OlTXLt2DYsXL8bhw4fzXN/Tp08xa9YsXL58GZGRkQgICMCjR49y3X8LWtbFxQVPnz7F7du3ER0djfT0dLRp0wZNmjRBjx49EBAQgIiICFy6dAnff/89goKCCvWaZTIZvvnmG8ycOVN9KdqVK1ewbt06ALRPaxWerwnXet7e3mzixIls/PjxzMzMjFlaWrLvvvtOPaDAy5cvWbt27ZixsTGrVq0aO3LkSLZBRRjLGnCobt26TCKRMA8PD/WoxB8GPmOMsYMHD7KqVasyqVTKPvvsM7Z+/fpcB0I6deoUA5Bt0KjCiIiIYL1792ZmZmbMyMiIeXp6qkckzW1whqVLlzJnZ2f1bZVKxZYtW8aqV6/OxGIxs7W1Ze3bt2dnz55VL3Pnzh3Wrl07ZmRkxExNTdlnn33GwsPDGWPZRxdnLGsEVldXV9avXz+mUCiK9FqI7ktMTGRDhgxhRkZGzN7env3yyy/ZBuwpaL/6MPDZ1q1bmZeXF5NIJKxWrVrs9OnT6m0UNPAZY1kDGHl4eDCJRMJsbGxYr1691I9t3bqVubi4MKlUypo0acIOHDiQY7+dP38+K1euHOM4jg0fPpwxVrh9pbD7e17Gjx/PrK2tGQA2d+5cxljuA599PODRh/fs4/y5Dd527Ngx1rRpUyaXy5mZmRnz8vJSj9a6d+9e1qhRI2ZmZsaMjY1Z48aN2cmTJ9XPvXz5MqtTpw6TSqXsw9dLTEwM6969OzMxMWF2dnZs9uzZbNiwYdk+Dz4drCm31/Ppa/qQ/eDBg8zNzY1JJBLm5eXF7ty5U6j3kBiGhIQENmjQIGZkZMTKlSvHfvvtN+bl5cW+/fZbxljeg/Xt2rWL1apVi4nFYubk5MSWLFmifuz8+fPM29ubWVpaMrlczurUqaMebO/Bgwesffv2zNbWlkmlUubq6spWrFhRpMxeXl4MQLbPM8aKty8V5hglKiqKDRs2jNnY2DCpVMoqV67MxowZw+Lj44uUm5CyVNDxeUZGBpszZw5zcXFhYrGYOTg4sJ49e7Lg4GDGWO7HBK9fv2Y9evRgDg4OTCKRMGdnZzZnzhymVCoZY9mPlwtaNi0tjfXu3ZtZWFgwAOp9LiEhgU2ePJmVL1+eicViVrFiRTZ48GD27NmzHNv44NNjcqVSyX788Ufm7Oys/oz6eNBS2qe1A8fYJxfrEK22adMmfPXVV3j16pW6uyohhiYiIgKVKlXCrVu3ss1ZSQxHYGAgWrVqhffv3+eY/5yQvCQnJ8PR0RG//vorRo0axXccQkgxtWzZEh4eHli2bBnfUQjJFQ18piNSUlIQFRWFn376CePGjaMCmxBCCCnArVu38PDhQ3h5eSE+Ph7z588HAHTv3p3nZIQQQvQZXZOtI3755RfUqFED5cqVw6xZs7I9tmjRomxTAXz8r2PHjjwlJoQUR8eOHfPcnxctWsR3PEJ0jp+fH+rWrYs2bdogOTkZ58+fL/QgQ5qU135tYmKC8+fPl3keQgghpYe6i+uB2NjYPEcOl8vlOaYSIoRor5cvXyI1NTXXx6ysrPKd754Qor0eP36c52OOjo6FmgqTEEKIbqAimxBCCCGEEEII0RDqLk4IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaAgV2YQQQgghhBBCiIZQkU0IIYQQQgghhGgIFdmEEEIIIYQQQoiGUJFNCCGEEEIIIYRoCBXZhBBCCCGEEEKIhlCRTQghhBBCCCGEaIiI7wCk8DIyMvD+/XvExcUhISEBycnJSElJQWpqKjIzMyESiSAWi3P8LxaLYWpqCjs7O1hbW0MgoHMrhGiLdGU6IpJfIirtHaJS3+JV6ltEpb3D27QYpKnSoVApwAAIOQFEnAhmYhM4yG1RXmYHB7kdHGS2qGBUDg5yO75fCiHkI+/SYvAw8QnCk54hJj0OcZkJiMtIRFxmAhIykwAAIoEQUoEExiIjmIiM4CCzhbOxI5yNysPZ2BHlZLbgOI7nV0II+SBZkYKo1Hd4nfYOUWnv8Dr1nfr7+016DBhjkAulkAtlkAtlMBObwFZqBVupFexk1nCU28Pd3BUSoYTvl0JKGRXZWkqlUuH169eIiIhAZGQkXrx4gZSUlBKvVyQSwdbWFnZ2drC3t1f/MzY21kBqQkh+0pXpuBP3EDfe38ON2Pu48f4e7ic8RqYqs8TrtpVaob6lGxpY1kYDq6z/nY0dNZCaEFKQ8KRIBL69hkvRNxGSEI7QxKeIzYgr8XqlAgnczKuhkVVdNLLO+lfdtDIV3oSUgdep73Ax+gYuRd/CxegbeJDwGImK5BKvVyIQw8OiJhpbe6CxtQcaWddFZRMnDSQm2oRjjDG+Q5CsojoqKkpdVD979gzp6elltv1y5cqhZs2aqFWrFmxsbMpsu4Tou5cpr3Hw1WkcfHUap99eQZqy7PZrZyNHdC3fGt0cW6OlXSOIBeIy2zYh+uxdWox6nz779hpepL4us21biM3gY98EPRzbokv5VrCQmJXZtgnRZ6mKNJx5ewXHXp/D8dcXEJb4tMy2bSu1QiPrumhs7YGO5bxR38qtzLZNSgcV2TyLiYnBjRs3cOfOHY20VGuCra2tuuC2t7fnOw4hOudJ0jNsjtyPAy9P4+b7+2Dg/2PWTGyC9uU+Q+8K7dHDsQ2kQinfkQjRKfEZidj5/Ci2PT+MwLdXoWRKviNBxIngbeeFno5t0d+pE2ykVnxHIkSnMMZw/PV5/O/xFpx4c7FMT4Tnp4ZpZQx27oZBzl2plVtHUZHNA6VSiZCQENy4cQMRERF8x8mXlZUV6tSpg4YNG8LIyIjvOIRoLYVKgX0vT+DP8G04/eayVhTWebGWWGKoS3dMrDoY1Uxd+I5DiFa7HhOMpWEbsPflCa05AM+NRCBGT8d2mFB1ILztGvEdhxCtlpiZhA1Pd+OPx1vKtMW6OLxtvTCx6mD0rNCWeqTpEK0osgMDA3Hv3j04OTnB0tIS4eHhsLGxQZcuXTBnzhzMmjULcrmc14z+/v7qTMUVGxuLGzdu4Pbt21rTal1YIpEIHh4eaNq0KSwtLfmOQ4jWSMhMxKrHW/HH4y14nhLFd5wi4cCho0MLTK8+Cq3tm/AdhxCtwRjDoVensSR0Lc6/C+I7TpHVtaiBr1xHYohzdwgFQr7jEKI1whKfYkXYJvwdsUcj11eXJQeZHUZX7otJ1YbCTmbNdxxSAI0W2ZGRkZg9ezbs7OzQs2dPrFmzBgAwceJEpKWl4bfffkPz5s0RFRWFpUuXYunSpYiMjER8fDwaNGgAExMT2NjYYN++fUhJScGgQYOwa9curFy5EqdOncLBgweRlpYGX19fXLhwAWfPnkXlypUhEAjw/fffZ8vycVE8YMAAbNu2Dc2bN0evXr0QFBQEPz8/BAQE4MyZM5DL5XBwcEBmZibu3buHHTt24OzZszh8+DBSU1PRu3dv7NixQ52pqIV2cnIyzpw5g5s3b0ILzmmUCMdxqFOnDlq2bAkLCwu+4xDCm3RlOv73eCsWhaxCdPp7vuOUmI99U/xUZwY8rdz5jkIIbxhj2Bp5AAtDViEkIZzvOCXmaloJC2p/ib4VO9JgacSgnXpzCUserkXA6wta3dOsMExFxphdayK+dB1Bo5RrMY0W2TNnzsSYMWNQrVo1DB48GOvWrQMAjBkzBqNGjcLVq1fxzTffYODAgfjnn3/Qs2dP7N27F9u3b8e7d+/URXZ0dLS6QB4xYgRWrlyJ4cOHY/fu3YiMjMSKFStQu3ZtyOVy9O/fX72+j+VWZHfs2BFHjx7FwYMHkZSUhPT0dEgkEgwaNAg+Pj44deoUFi1ahI4dO2LOnDlo0KABgKxW3AoVKhS5JVupVOLatWs4e/ZsmQ5iVhYEAgHq16+PFi1awNTUlO84hJQZFVNhU8Q+zL33OyJTXvIdR6M4cOhTsQMWuk+jbuTE4FyOvoUvb/2Ia7HBfEfRuPqWbljoPg0dHFrwHYWQMvUk6Rm+vLUQB1+d5juKxlUxcYJf3W/Ro0JbvqOQXGh0Ci/GmHoOZsaY+qzphzr+wzRRH25LJFlnX6TS7APw5DePM8dxea7vY1KpFAqFAkBWS/LHy4vFYnXRa2aWNSqnra2tOlN6ejpUKhVmz54NkSjrLdq4cWNh3gK1sLAwBAQEICYmpkjP0xUqlQpBQUG4e/cu2rdvj3r16vEdiZBSdzn6FsYF/YC78aF8RykVDAw7nx/F3hcnMKHqQCyuMwPGIhqLgei3Z8mv8E3wL9j27DDfUUrNzff30fHcKHQo1wKrPRfAybg835EIKVWpijQsClkFv9B1Wj2WQkmEJz1Dz4sT4WPfFMs8vkdtC1e+I5GPaLTInjhxInx9feHg4IBJkyZh/Pjx6vszMjJyLN+sWTMsXrwY4eHh8PDwUN9ft25dLFy4UF0kA8CQIUMwbtw4pKSk4IcffsClS5fyzeLt7Y2ZM2fi6dOniIuLK/JrmTJlCkaPHg0rKyt4enpmy9SjR488n/fu3TscP34c4eG6382sMNLT03HgwAE8fPgQXbt2hYmJCd+RCNG4NGU6fri7FL+FbYCKqfiOU+oUTIEVjzbh8KtArPNajJY0iBLRU6seb8GM2z8jRZnKd5Qycez1Obgd64TFdabji6pDqAs50Utn317FqOvfITzpGd9RysSpN5fgEdANYyv3xwL3L2EtpbGTtIFWDHymL65fv46AgIBsJwcMiVwuR8eOHeHuTtd0Ev1xJfoWRlz7FqGJT/iOwgsOHCZWHYyf635NrdpEb7xOfYdR12fhSNRZvqPwprmNJ9Z5LYKraSW+oxCiEUmZyfg22A//e7xF56+7Li4riQX+bvQzupRvzXcUg6c3RfaxY8dw5coV9e1vv/0WMpmsTLadlpaGAwcOICQkpEy2p+1q1aqFzp0705RfRKepmApz7i3D4pDVBtF6XZDKxhWxo+nvaGBVm+8ohJTI3hcBGBs0Wy8GLCwpY5ER1jdcjH5OnfiOQkiJ3Hkfgp4XJ+Jp8gu+o/COA4eZNcZgofs0ml2AR3pTZPPlzZs32LZtW7G6pOszY2Nj9OvXD05OTnxHIaTIEjITMejyNByOCuQ7ilaRC2VY13ARBjp35TsKIUWmVCnx9Z2fsTRsA99RtM706qPwc52v6YCc6KRjUefQ79IUnZuSq7S1sG2IQ/WXw9TClu8oBinvEcZIgUJCQrBu3ToqsHORnJyMTZs2ITRUPweIIvrrcWIkGp/sSwV2LlKVaRh0ZRpmBftR6z7RKfEZieh0fjQV2Hn4NXQd2p4dgXdp+jlYK9Ffa8K3oev5cVRg58LxjQKsfmcob93jO4pBopbsYgoMDMTZs4Z7LVdhcRyHLl26oH79+nxHIaRAp95cQr9LUxGbEcd3FK3XtXxrbGn8K0zFNNgh0W6RyS/R6dxoPEh4zHcUrediXAEB3htoCj+i9Rhj+DZ4CX55+BffUbRSfWllHB79BPKENMBIDqMNyyHu2ZHvWAaFiuxiOHnyJC5evMh3DJ3SsmVLeHt78x2DkDztfH4Ug69MR6Yqk+8oOqOBZW0EeG+AldSC7yiE5Cok4TF8zgxHVNpbvqPoDDupNY55r0M9Sze+oxCSqzRlOoZfnYkdz4/wHUUr2YotcWYhQ4W7r/+7UyiEfP1SSAb25C+YgaHu4kUUGBhIBXYxBAYG4vDhw7nOaU4I3zZH7MfAy19RgV1EN97fQ6szQ6mLKdFKoQlP0PrMMCqwi+htegxanxmGqzG3+Y5CSA7R6bHwOTOMCuw8iDgR/t5nnb3ABgClEqmff4WMbft4yWWIqMgugvPnz1MX8RIICgrCrl27oFLRtZxEe2yNPIDh12ZCyZR8R9FJwfEP4RM4HDE0UjPRImGJT9HqzFC8TnvHdxSdFJeZgLaBI3A5+hbfUQhRi8tIQKszQ3Ep5ibfUbTWT0/roum2PK7BViqROvJLZOw4ULahDBQV2YV0+fJlnD59mu8YOu/Bgwc4fvw43zEIAQDseXEcw69+Q4N4ldDd+FC0OzsS8RmJfEchBI8TI9HqzFBqwS6hREUyup4fh7DEp3xHIQTpynT0uDAB9+LD+I6itYYq62P0DwX0tlUqkTp8CjJ2HiybUAaMiuxCuHbtGgICAviOoTeuXbuGoKAgvmMQA3c15jYGXZ4GBVPwHUUv3Hx/H/0uT4FSRT0CCH9i0t+j/dmReJX6hu8oeiEm4z06nh2Ft3RJCOGRiqkw5MoMnH13je8oWstTWgVLJt0o3ML/FtqZAYGlmsnQUZFdgHv37uHo0aN8x9A7R48exZMnT/iOQQzUq9Q36HnhC6SrMviOolcCXl/AjDs/8R2DGCiFSoG+l6bgSfJzvqPolSfJz9Hl/FikKFL5jkIM1Mw7v2DXi2N8x9Ba9mIrbPSNhiwpvfBPUiiQOnQSVE8iSy+YgaMiOx+xsbE4eJC6U5QGlUqFnTt3IiaGzo6TspWmTEePCxOpK2kpWRbmjw1PdvEdgxigKTcX4MzbK3zH0EvXY4Mx6Mo0GryUlLnNEfvxa+g6vmNoLTEnwt+7LFH+QdF777D38UjuOwYshU6glQYqsvOgVCqxa9cuZGRQS1dpSUtLw9atW5GaSjs3KTujr3+H67HBfMfQa+NvzMGlaBqYhpSdPx9vxarwrXzH0Gv7X57E8jB/vmMQA3Ij9h7GBH3Pdwyt9svjOmi8636xn6+6G4LUsTM0mIh8QEV2Hk6ePImoqCi+Y+i92NhY7Ny5k86OkzLxv0dbsCWSRtUsbRmqTPS5OBnvM+L5jkIMQHDcQ0y99SPfMQzCN8FLcOt98Q/oCSmsmPT36HlxItKURegCbWBGKhpgpO+lEq8nc8cBpC9drYFE5GNUZOfi0aNHuHKFupyVladPn9L7TUrdk6RnmBn8C98xDEZU2ltMubmA7xhEz2WqMjHs6tfIoDnuy0SGKhMDLn+FpMxkvqMQPTfj9k94nkKNXXlpJK2GnyZpbhDhtO8WQ3HjjsbWR6jIziExMRH79u3jO4bBOXPmDGJjY/mOQfQUYwyfX5uFZEUK31EMyubI/dj/8iTfMYgem3d/Be7EPeQ7hkEJS3yKKbfoBBopPRfeBeHviL18x9BaDhJr/P3Da0iTNdjKr1QidcK3YEqaIURTqMj+xL59+5CSQgfiZS0zMxMHDhygbuOkVPzxeDNN/cGT8UFzEJsex3cMooeuxdzBTyFr+I5hkDY83Y3At1f5jkH0kEKlwIQbc8FAx4O5kQjE2LjNHOVC32l83arb95Dx+1qNr9dQUZH9kQcPHmhkWqnIyEgcPHgQ+/fvx9q1a3Hp0iX8+eefePMm58h/J06cwJEjR3DixAkAwPnz53Hq1Ck8f/4cqampOHnScFqBIiMjcecOdVUhmvUk6Rm+DfbjO4bBep32jlq9iMYpVAp8fm0WlIxaXfgy6cY8KFQKvmMQPbMszB/34sP4jqG1fn1YGw33Pii19afN/w2qyBf5LhMeHo5u3bpBKBRqfPsRERGYMUM/BmIT8R1AW6hUKpw+fVoj63J2doazszNCQkLg6OgIT09PpKfn7NIRFxcHlUqFTp06ISAgAPHx8UhPT0fTpk1x69YthIWFoWnTphrJpCtOnjyJmjVrQiqV8h2F6Ilv7iyhbuI82xJ5AF9UHYImNvX4jkL0xJ/h/+B+wiO+Yxi0+wmPsOLRJnxVfSTfUYieeJESBd/7K/iOobVGZdTH0AUlH+gsX8kpSJ06G8b7/PNcZNWqVVAoFPD29gYArFy5EuHh4RAKhfDz88P27dtx6tQpmJiYQCAQYObMmZg8eTJcXV1x4sQJXLlyBatWrUJYWBji4uKwYMECXLx4ESdPnoSJiUmpFO98oJbsf926dUvjczbfvXsX7u7ueT6emJgIMzMzAIC5uTkSEhJQvnx5XL16Febm5jA1NUVQUJBBte4mJyfjzJkzfMcgeiIo9i52vTjGdwwC4NvgJXxHIHoiLiMBc+/9zncMAsD3/u94nar5bqvEME299SOdFM9DE4krFmtwoLP8KI6cQua+o3k+3qVLF3Tq1AlWVlYAsqY9NjIywuXLl/H27Vvs2LEDa9aswcCBAwEA27dvx8SJE7FgwQJIpVIkJSVh48aNMDc3h4WFBW7evIlt27bhr7/+woABA8rkNZYFKrKRdT3w2bNnNbrOuLg4yGSyfFtkTU1NkZCQAACIj4+HmZkZatWqhRYtWuD58+cwMjJC1apV8fbtW41m03bXr1+nQdCIRlA3ce1x7t11HHkVyHcMogd+ClmN2Iw4vmMQAAmZSZhzbznfMYgeOPIqEHteBPAdQyuVl9jg79mvIEnNKLNtps31A1OpClwuJiYGd+7cwcKFC+Hq6oqUlBRwHAcA6v8/xnEcGGNwdHSEr68vli5dim7dukEikQCAXvVkpe7iAK5cuYLExESNrvPWrVvw8PAAANy+fRthYWGIjo5GixYtkJGRgaioKHh5eUEoFOLYsWMQiUQwNzcHAFy9ehVeXl7qn8VisUazaTuVSoUrV66gU6dOfEchOuzE6ws49aaUu1WRIpkV/Cs6OLSAgKPzu6R4olLf4vdHG/mOQT7iH7EH39eaAGdjR76jEB3FGMOMOz/xHUMrSQUSbN5sArtH+V8nrWmqkDBk7jwISf/u+S5nYWGBlJQU+Pn5ISws61r6vn37Yty4cZBKpbCyskL//v0xZcoUnDp1CowxmJqawsvLC5MnT86a/eXzz9GrVy/MmTMn18trdRXHDHw459TUVCxfvlyvfqn6QCwWY9q0aZDJZHxHITrKM6Anbry/x3cM8onNjfww2CX/L21C8vLtnSX4+SGNKK5N7MVWWI/+6NRrGt9RiI46/OoMupwfy3cMrfS/Bx4YtPgKL9sW1KgGkzuncm2Rzs/Nmzexe/duvHr1CrNmzUKVKlWwYMECxMfHw9XVFRMmTCilxNrF4IvsEydO4NIlau3SRj4+PmjevDnfMYgOOv3mMnwCh/Edg+SirkUN3G5/kO8YRAelKFJR4eBneJ8Rz3cUAsBJYo+poY4Y/MsNyBSA6eMrENjZ8B2L6CCfM8Nw+u1lvmNonXFpDfDzmIu8ZjDasx7iLm15zaCrDLrPnkKhwM2bN/mOQfJw/fp1qApxPQghn1oe9jffEUge7sQ9xFmaX5cUw98Re6jA1gKu0gpYdd8DN4a/wqg5lyBLSgfS0pHxP3++oxEddOd9CBXYuWguqY4fJ1/jOwbSf/uT7wg6y6CL7AcPHiAtLY3vGCQPCQkJuH//Pt8xiI6JSH6BQ1E0Qr02W/FoE98RiI5hjGF5GF2Lzac6Uhf8HeSOKwOfYOBPVyBOy8z2eMaaTWCZmXk8m5Dc0fdBThUktvCf9TzHPsYH5YVrUN6mY/HiMOgim1qxtd/ly3R2kxTNuic7oWLUA0KbHXh1Gm/TNDtlItFvJ95cQGjiE75jGKRG0mrYebYWzvV7iO7Lr0OgzP3zlUXHQnHiXBmnI7osKTMZ258f4TuGVpEJpNjiL4fNE+2ZZSdj2z6+I+gkgy2yY2NjERkZyXcMUoCoqCg8f/6c7xhERyhVSmx4upvvGKQAmapM+NPviRTB1ki6jr+stRLXxKGj1XC83120XVu4RonM7ftLORXRJzueH0GSIpnvGFrl9zs1UfdoGN8xssnceQAGPoRXsRhskX3vHo06rCsePnzIdwSiIy5G38DL1Dd8xyCFsOP5Ub4jEB2RoczA/pen+I5hMDoL3XFqpwv2DriF5lvvFum5mQcDwFJTSykZ0TfrnuziO4JW+SKlAfr9ws9I4vlhz19BeYHGUikqgy2y6Vpf3fH48WO+IxAdceDVab4jkEK6+f4+Xqa85jsG0QEBby4gLjOB7xh6TQAB+sIDlzY4Ysug62hwoJgnt5OSkXnopGbDEb30LPkVLsXQZZsfeEtqYt7k3AvZCKbAJEUshin+u8xqkyoZnRRvsy13WZWOyYpYjFXE4h9VMpSM4RtlHL5RxiGeqXBVlY5tquL1HMjcRr1Uisogi+x3797h7du3BS9ItMLbt28RH08jypKCHaDWLp3BwHDoFQ1QRwq28/kxviPoLTEnwnBFfVxfaYO/hl5BrdPhJV5nZj7Xb4aHh6Nbt24QCoUl3s6nIiIiMGPGDI2vl5SOQJplQs1ZYo8NMyMgylDk+rgLJ8JKkZX6dgRTIJapYIPs+1ETgRQrRFZYI7LCEVUaYqGCE4RoykkQwjKxh6VigMC4WBkz9xymgQ2LSMR3AD6EhWnXtQ6kYI8fP0aDBg34jkG0WGjCEzxKiuA7BimCA69OYVzVgXzHIFpMxVR08qwUyARSjEx2xxcrHqPC3UsaXbfieCBYSio4I3mOx1atWgWFQgFvb28AwMqVKxEeHg6hUAg/Pz9s374dp06dgomJCQQCAWbOnInJkyfD1dUVJ06cwJUrV7Bq1SqEhYUhLi4OCxYswMWLF3Hy5EmYmJiUSvFOSsfZd/xPT6UN5EIZNq+TwCryfaGWVzGGlapELBJYYLQy98HRflcmYrDACLZc1v7wiCkQCSWacVL8pkxAY06KpgJpkXKymPdQXrwOUcumRXqeITPIluyXL1/yHYEUEXUZJwU58IoOxHXN6bdXkKKg6zdJ3oLjHlJXcQ0yFRljeoIn7s4RYfHYC6hwtxQu2cjIgPLKjVwf6tKlCzp16gQrq6xWOaVSCSMjI1y+fBlv377Fjh07sGbNGgwcmHXybfv27Zg4cSIWLFgAqVSKpKQkbNy4Eebm5rCwsMDNmzexbds2/PXXXxgwYIDmXwspNefeXec7glb4I8gV7gGPCr18BJSIYSrMUcXjHstEgCr7d+hKZSLsOAE6CLJOcn0hNEUvgRE4ALdYBr4SmCKAFW/6YsUl+p0VhUG2ZL948YLvCKSInjx5AqVSSWepSZ5OvtFsawwpfWnKdFyIDkK7cp/xHYVoqfPvgviOoBesxGaY+MoVo/2CYfHqQqlvT3HuCkStm+e7TExMDO7cuYP169dj5MiRSElJAcdxAKD+/2Mcx4ExBkdHR/j6+qrv37JlCwBAKi1ayxzhz6vUN3icRDP8TE1qgF6/XSxwuVimxAJVAoJZBvapUrBBZA0AeMVi0E4gxz5VCiTI2mc2qJLRQiDFC6USM4RmAIDVqiQsEJjjMEvFQlUCnFC8Y2nlZfo8LgqDK7ITEhKQmJjIdwxSRBkZGXj27BkqVarEdxSipW7E0mCGuuhG7H0qskmezkfTQV1JlJNYY8pTFwxbcgsmMaVfXH+gKMRIxBYWFkhJSYGfn5/6Mr6+ffti3LhxkEqlsLKyQv/+/TFlyhScOnUKjDGYmprCy8sLkydPBmMMn3/+OXr16oU5c+YgPT29tF8W0ZCzb6mruI+4FuZMLtxI4lacEEuFlvi0Nt74b7HdQ2Ckvq+TIOdlGj8LLQAAPTkj9CxeXACA4spNMJUKnMAgO0IXmcEV2dSKrbuoyCZ5iUx+iZiMwl3PRLTLjfc0nSLJ24V3uXc7JvlzltjjyxBHDPS7AVlS2V8ip7x5N9eD8ZYtW6Jly5aYNGkSAGDbtm0AoB6wLDY2FsHBwXj16hUmTZoEa2tr1KhRA/Hx8eru4DNnzsy2zvr165f2yyEaZuhdxStJHbB2+hMIFUq+oxRNfAJU90MhdK/JdxKdYHBFNl2PrbtiY3Mf4IEQKtR014331AOB5C4y+SWi0mgmkKKoLq2AaTes0XvpDYgyInFJlY6dLAUKxhAKBQJEdgCAAFUq/lIloy0nw1ihCZ4yBdaqkiAHh9lCc/yhTEQ7gQzVOHHxgiQlQxXyCEK36kV6Wv369XMUzR93DSf6wZAHPTMSyrDlTwEsn8fxHaVYFJeDqMguJIMrsqklW3dRkU3yQl3FdVdE8gvEpsfBSmrBdxSiZe7HF34wIEPnIa2E6edN0Pl/NyBQ/jdQaFOBFE0hxSFVKuqz/1rN2gnkkINDCMuaMug2y0A/gRH2qlIRwRRQAsUvsP+lvHWvyEU20X/R6bEISSj5VHG6atXVaqh1Wndb8pU3gvmOoDMMqlO9SqVCVFQU3zFIMVGRTfJyK+4B3xFICdDvj+QmNPEp3xG0XmNpNew6WxOB/ULQdcV1CJSqXJfbpUpBn4+u2/xUa06Go6o0VOVEWKVKQkVOiF+VCYhixe/OqnpGjRokp0eJhjvg2fQET3RfrrsFNgCwZ9QjuLAMqshOSUlBJk2krrNSUlJoYBOSq2fJr/iOQEqAfn8kN48SI/iOoLV8xLVw5HBVHOt3F23W3sp32edMATMIYMrlfchnzgnwrdAMUnDozslxm2VgpMAYO1Upxc7IXlCjBsnpRWopTBunA9qJ3PD9FN2fBUX1nL6vC8vgimyi26g1m+QmKu0d3xFICdDvj+QmIoVaTD7GgUMXoTvObHfG7gE30XRb4cai2KRKxuB/W7HHKrK+Q6+p0vGHKgl7WQr2/1tIxzEVHrJMNBVIYQoBflMlohEnKXZe1Qs6GCc5PU8xvJMvVaTlsWb6ozx7mugS2q8Lz6CuyU5NTS14IaLVYmNj4eDgwHcMokXSlemIzYjjOwYpgVepNLgVyYl6OGQRckL0Ubnjy/VvUTOw6F1NvxOaq39eI7ICAHgJpNgmyD6vtAUnwA//Lvthft2SUFFLNsmFoRXZJkIjbPmDweJVAt9RNCMlFaqY9xBYW/KdROtRkU10CrVkk0+9TovmOwIpIRpBmuQmLlNPDkqLScyJMCSzLqb8LxKVrhduPl1tQkU2yc3btBi+I5SpPy9WRo2zQXzH0Cj27CVARXaBDKrIpu7iuo9+h+RTUdQKqvOiUqm7OMkpSWGYn/dyoQwjE93wxYrHcLx3ke84xRcXD5acAs447wHXiOExpJNnM997ossfF/iOoXGqV68hrFeb7xhaz6CuyaaWbN2nVBZ/pFOiu/r06ZPnY++L8oX9JhP48w3w278tLBcSgTVvgT/eAGmqrH//e5N134XE7M99ng6seJ3173k68DoT2BQNbP/3rPzhOOBVRtFeGAEAxGbE8x2BaCFDK7LNRCaYEe+Ju7MFWDTuIhzvvdHIepOZCuMVsZiieI8dHw1k9oBlYowiBmMUMXjAMvGUKfC9Mg4/KrP2xz+UiXjESjZYLEtKLtHzP/D19cW9e4W7Bv2D/L43PhYYGIiVK1cWJxYphvjMJL4jlImOotr49qvSG+gsr/06QJWKvoporFFmvc+lsl+naLae+rAPHjhwAOfPn4e/vz8OHToEAJgzZ45W1G8fZyosaskmOoWKbO3m7++PM2fOoFatWhAKhUhNTUV0dDTKlSuHWbNmYezYsTAzM4ObmxsaN26MefPmwcnJCcOGDUNmZib8/f2hUCjQpEkTtGvXDpMnT0bVqlXznd8+U6UofEB7MTDe/r8i+3oS8JUDcCMZuPbvF38jE6CBMbDsNdDc9L/nHo0HPrcFOABbYoDa8qzHLydmFe8qBpQv/iBBhkzBivA7JAYhRZEKZQmmj9Il1mJzfPGyGj73C4ZFlOZbvQ6yVHQXyNFRIMdIRQz6/TsI2p/KJCwRWoIDMFcVD29OqvG5sqHIfd/29/eHjY0NunTpggEDBuDFixfo1asXgoKC4Ofnh8zMTMyePRt2dnbo2bMnAGDNmjVITExEixYtMHLkSCxcuBDR0dFITEzE0qVLsXfvXly8eBFyuRx+fn4AgOjoaMycORM//vgjNmzYkG35tWvXIjIyEvHx8WjQoEHJXicptLgM/W/JdpVWwJ+TQ0t1oLO89ut2Ajnk4BDy7/fqbZah+f06M/f9OjIyMtt+u2bNGgDAxIkTkZaWht9++w3NmzdHVFQUli5diqVLl2bbB2NjYyEQCHDhwgV1zfbs2TMolUrs378fBw8eRFpaGnx9fXHhwgWcPXsWlStXhkAgwPfff58ty6efMdu2bUPz5s2zfc4EBATgzJkzkMvlcHBwQGZmJu7du4cdO3bg7NmzOHz4MFJTU9G7d+9smbp06VKot8mgiuy0tDS+I5Q6K3PGd4RSJRXTFGzarm3bthgyZAj69esHNzc3mJmZYc+ePZg1axZev36N7t27w8fHB1evXoWlpSUGDRqE2rVrY+jQoahSpQoA4NatW3j//j3Gjx+PVq1a4dy5c3lur0QFGsdl/W8rymqdBgCnfwcD+rSfT4oKMBZm/ZyqAuoaAUfiswrro3FAdRmwNxbwNgOsDOqjtcSKdKKEGIRkA2jFNhUZY1xMTQxb+wTG7+9DKREixlnz1zk+js2Et7EpYqRyKF4nIqZc1jaiXydCWc4aABDzOhn1bMthQ3w0yovMsDQ9DQ1kZliQmYHeZpawFxXvoNxYqSxUl0lTU1NMmzYNBw8exNmzZ3Hr1i3MmTMH1apVAwCcPHkS/fv3R7NmzdC/f380btwY586dQ5MmTZCWloaQkBDs3bsXe/fuVa8zJiYG06ZNw/Lly/H69escy587dw579+7F9u3b8e4dXbJSVlKU/LdKliZjoQzb9kphYSoEzCyzTsxzHAAu63/1v3+foP6Zy7Es+/jxj58LDq9ePkctSyvAxATC0HSgZuUPKwTi44DkZLCKFdFKocCfL16gqtQKq5KS0MjSCX6pqRhU3gEOMjnYh+Ogj7f9722m3l72rBnmEuTWpPDHH3+o99vBgwdj3bp1AIAxY8Zg1KhRaNasGWbOnImBAwcCQJ77YPPmzdUF8q5duwAAGzduxO7duxEZGYkVK1agdu3a6NChA/r3769eX0E+/ZwBgPbt22PQoEHw8fHBqVOnsGjRIty/fx+///47GjRoAAsLC1y7di1bpsIyqCNBkUjPX64lhzEtFvOdolQJLIcA6MV3DJIPxb8tF+/evQPHcViwYAEuXMhqndm+fTvOnDmDESNGYNu2bahcuTLWrVuHO3fuICMjA1OnToWlZdYB4IoVKyCRZH2MS6XS3DemKdGK/wrjGAXgIgU+PV9lJABSlAA4QC4AjIRAH6usbuWNTICbyUA3SyAwAehKA4IUBQeu4IWIQRELStjSogMSFcnwMw+C3/RS3tA5Bj/jZKABgOVKHJz6b5GzhuHIkCQAHLCF4eCYDABmWZ9p1jL8fTMR6GaJXwPfFfsz7ak14JLL/VKpVP1dkZycDGNjYwCAWCxGeno6GGMQCLKX5+bmWSOfcxwHlUoFNzc3+Pr65rltExMTCAQCvHnzJtfly+z7hWRjJjbhO0KpSlamYfMYYOY3JjDPyH8O+5JwPqTEO7OXkLYQAt9kQvrzVfVjkiAVRI8ZZAOeQwZgLoBtR5XoY8/h6PkoTBsuxN/7n2La8OLVRWKnfrne//F+yxgD92+BzljWAdWH/fzD7bz2wU/3/Y9xHJfn+j726WfMx8t/+JwBADOzrJkUbG1t1ZnS09OhUqkwe/Zsde24cePGPDPlRc+rzuxkMhnfEUqVqKL+Xw/KlbSLCyl1AQEBCA4ORsuWLXHnzh34+fnh3bt3yMzMxPTp0yGXy+Hq6oozZ87g4MGDiI2NRdu2bfHNN99g8uTJsLe3h4uLC/r374/Zs2fj2rVriIuLy3N7Iq4IH2OJyqxrqCPSgX2xgKcxsPYtkMGyuoIDwIZ3wK3krC7jALDyDTDJHuhoDmz4dyTzbhZZ/ycpgRcZWd3GH6YC+94DXsZFfs8MnUgg5DsC0TJGQv3+vi5TXibZP9fK8DNNxOW+b3t7e2PmzJl4+vQp4uLiYG9vn+3xiRMnwtfXFw4ODujWrVuO57u5uUEgEGDatGlITU3Fd999h27duuGLL76AsbExFi1aBKlUij///BNjx47Fd999l2P5Zs2aYfHixQgPD4eHh0exXyMpGiuJBd8RSt1vL8Px20tglH1zzLXLgG3GNY1vo7uPAF/9pMCx8yp08hbg89mZWP+jGFfuqPD7JiXeJzKUswF6thHifQJDSDjDgI5CXLypwpL1SnRvXYJhufI4Fv94v500aRLGjx+vvj8jI2eNktc+WLduXSxcuFBdJAPAkCFDMG7cOKSkpOCHH37ApUv5X+/+6WdMUU2ZMgWjR4+GlZUVPD09s2Xq0aNHodbBsdzKfz115coVHD9+nO8YpUb52Vt8Z7WO7xilSmg9FuKKv/Mdg+Th42tgysqxqHPoeG5UmW2PaF5Nsyp40PEY3zGIlhHvqEnX6+u4t92vwFZmzXcMokX6XJyE3S/091g8N71tHPGzgwCOGVcAlN512mVF7LIFQovefMfQetSSrUfiRa/5jlD6RFZ8JyD5GDFiRJlv00ZKXbN1Hf0OSW6MRXLEZyYWvCDRSgJOYBCtlqRoLCXmfEcoc7ujX2J3NNDOogGWVpCjcuYlADp8AlFgxneCHI4dO4YrV66ob3/77be8131UZOsJZi2AkNP/aRE4cXm+IxAt4yCz5TsCKSEHmR3fEYgWMhYZFb3IfpEB7IoFTARAbaOsLtIiDlAwYJwdIPj3+v84BeAfDZgKsgY7bGsO/BOTtVy7f4uAa0k0vkIJ2EgsIaRLQcgnrIpTZIekAhcTASWy9vF6RsDbTCBZBYywBaw/KmfOJGRdEmYkAPpbA/vfZ03PWd8YKC8GDrwHBtpo7PUURUDca7jFAU1M3bHSyQK1lJcBVrxBmS/cVGH7ESUUSiDkCUPg31nXNx87r8Sf21Vo31yACQOEePKcYfUOJeQywPcLEX7frECH5gK4uhS/uzgnqVDs55aWDh06oEOHDnzHyMag5smWy+V8Ryg1sQ6psBPr/5cZJ3bgOwLRMvYyGwg4g/oo0zvl5VRkk5zKF+fky+1koL05MNoOOJ8ATLAHxthlDVYY+1HLUWgaUN8IGGUH3E3JKq7BgGYmwNN04Fgc0NFCQ6/EMJWjE6AkF8UqsmvKs/bp+kaAt2lWoT3eHmhsAjz5qEiNV2RNqynlAIt/j4lTlEAni6wxBg7FAV34P3F2OTEaDe4/RsNn1XBD6AMmKPq4B83rC7BithgdWwgwpOt/x/8dPhNi2oj/bt8MUWFgZwEUCuDpCwaFEiUqsAGAE2tfka2NDOrIVJ9bsiPkb2AjMoQim1qySXYigQg2Ev6/NEnxUW8EkpvKJhWL/qTPTIHLScDmaCDx32sfX2ZkFdE2Hw3WU88oq5jeFJ3VGpakBMpJgJspWT9XkQEH3wM3kjXzYgyQPV2LTXJRou7iF5OAZqZALTmw4CVwMj6rx8oHbxWAiRAYZJM1a8jrzKx9+VhcVmu3pSjrOee14zKUeylxaP4gDLWfOuEC1wZMWPRjme1HVejfMe9yrm0TAQ6fVcHVhcPKrUo4OXD4ZZ0Cr94Wc0gugTk4oWnxnmtgDKrINjIyKnghHXUrMxRW+l9jU0s2yRW1hOo2B/r9kVwUq8g2F2XNFDDIGjAVAs/Ts1qvRnxyIkciAIbbAkNtAJkAMBMCrcyADuZZB+exiqwu5KH6PadvaaL9muSmWC3ZABCdmdUFXC7ImjLzB0dggHVW9/APLIVZRTaQtWy6Kmt0/Z5WQFha1uUhHkZZnwta5ElaEto+DEWlR7Y4jrZQCQt34vlZFIO5CWBqnPc0mOamHL4fJ4JEAvRsI8CtEIZRvYXYdlRZrKycxLFYzzNEBlVkm5qa6mVrtsBGgBdpb2Ah1POB4jkxILIveDlicCoZU9clXUa/P5KbysbFKLLfZgJr3gJ/vAG6WAALXwGMAf7vgBgFcCUJCErOukbzzzfA/95kdT/9cK32wbis57nKgL3vsw7USbHUMqvCdwSihZyMitkj8UxC1r4KABUkWdNvHo4D3ORAWCoQEJ/VW8VYAGx8B8QpAed/518+Fpd1As1FCgQmAlp6uPwmMxU9Qh+ifJgp9qjaQSnK/736e58SQ7tlnVT4fHYmAKin8NoVoMTek1mF9IcpvJrXF8DMGFiyXokmdYv32UZdxQvPoKbwArKmGIqMjOQ7hkbF1k7H74qdCHKrCjfFGb7jlBpOXh/S6vnPi0cM04/3/8AP95bxHYMUg4ATIKHXLRiL9LenESme028uwydwGN8xSDEda7Ee7R0+4zsG0TJpynSY7vag6fkKQS4QYalLVQwyegRxZgTfcQDQVLpFYXCnaO3t9a8lNFweBQAw4TJ5TlK6BEYN+I5AtFR9Sze+I5BicjVxoQKb5Kq2uSvfEUgJ1LWowXcEooVkQilqmVXlO4ZOSFUpMP7JQ1jeV+GP9DZIE/P/mcgZ1ec7gs4wuCLbwUHPrullDDczQgEARlwGz2FKF0dFNslDA6vafEcgxUS/O9KnT59c77eTWcPZiK7/00X2MhuUk9OAhoYsr/0aADzpc79IlIxhRkQoLO+lYnFKayRL+Hv/BEaeGlmPr68v7t27V6Tn5Pc39bHAwECsXLmyOLE0yqDmyQaAihWLcY2XFhPaCRGV/g4AIEPx5trTFdSSTfJiL7OBo9weL1Pf8B2FFFEDSzrY0hX+/v44c+YMatWqBaFQiNTUVERHR6NcuXKYNWsWxo4dCzMzM7i5uaFx48aYN28enJycMGzYMGRmZsLf3x8KhQJNmjRBu3btMHnyZFStWhUvXrzIc5uNrT0QmfKyDF8l0QQPi5p8RyCFxMd+7WVVB+uf7irDV6k/5j9/hPnPganlvfGtdSIsMm6W3cYFJuBkue/b/v7+sLGxQZcuXTBgwAC8ePECvXr1QlBQEPz8/JCZmYnZs2fDzs4OPXv2BACsWbMGiYmJaNGiBUaOHImFCxciOjoaiYmJWLp0Kfbu3YuLFy9CLpfDz88PABAdHY2ZM2fixx9/xIYNG7Itv3btWkRGRiI+Ph4NGvBfMxhcS7a1tTWMjYs+H522irZPUf8sYXo81YjACJysFt8piBZraFWH7wikGKhFQ7e0bdsW33zzDa5duwaVSgUzMzPs2bMHAPD69Wu0atUKAwcOxNu3b2FpaYlBgwahdu3a+O2332BpaQlbW1vcunUL27dvx/jx47Fw4UKIxeI8t/eZrWZaTUjZamXXiO8IpAjKer/2tvMqq5emt5a/egKHu+8w4X0zvJN4Ach7hHFNERg3AccVbiojU1NTTJs2DQMHDsTZs2fxxx9/YM6cOfj111/RvHlzAED//v2xYcMGHDt2DCEhITh37hzMzc0hFosREhKCvXv3YvXq1Vi2bBlEIhFiYmIwbdo0/Prrr4iPj8+x/Llz57Bs2TJ06NChNN+GQjO4lmwgqzX74cOHfMfQiMfyKODf6f5EelxkC4waF3rHJoapfbnm2PfyBN8xSBGYi03R2NqD7xikCBSKrMGK3r17B47jsGDBAly4cAEAsH37dpw5cwYjRozAtm3bULlyZaxbtw537txBRkYGpk6dCkvLrHlgV6xYAYlEAgCQSqV5bs/blg7GdVGHci34jkCKoKz36xpmVeAgs0NU2ttSfmX6z//tM/i/BXpZN8LP5YWokHEZgKpUtiUwyXsgQ6lUqv47Sk5OVjdoisVipKengzEGgSB72665edZ0bhzHQaVSwc3NDb6+vnluw8TEBAKBAG/evMl1+cL87ZUlgyyyK1WqpBdFNgfgRvp/r0OgSuQvTCkTmHfjOwLRcl3Lt8aEG3P5jkGKoEO5FhAL8m7tINonICAAwcHBaNmyJe7cuQM/Pz+8e/cOmZmZmD59OuRyOVxdXXHmzBkcPHgQsbGx6layyZMnw97eHi4uLujfvz9mz56Na9euIS4uLs/tuZlXQwV5ObxIfV12L5KUiIPMDnUtqbu4Linr/RrI6u2w9dnBsnmBBmBPzEvsiQF8zOtjeUUjVFFcBphmB0QWmLTM8zFvb2/MnDkTT58+RVxcXI6BpidOnAhfX184ODigW7ecx/Rubm4QCASYNm0aUlNT8d1336Fbt2744osvYGxsjEWLFkEqleLPP//E2LFj8d133+VYvlmzZli8eDHCw8Ph4eGh0ddeHAY3hReQdYblt99+g0pVOmd6yorYlsP31psAAFJOiDjXCH4DlRoO0lqPwUloABySvwYBPXDz/X2+Y5BC2tL4VwxyphNouuLja+7K0tSbC/D7o41luk1SfMNdesK/0S98xyCFxNd+vf7JToy6/l2ZbtOQNDS1wv+crOGmvAyOpZZ8hWInSGuFguNKv1u6vjC4a7IBwNjYGFWqVOE7Rom9Lfff9dgVpfo7BQ5n5EkFNimUbuV9+I5ACknEidDRwZvvGKQIRowYUeYH4gDQp6J2XF9HCof2a93C137du0IHyIWyMt+uobieGIuG9x+h4bMqCBL6gAlMSrQ+oWU/KrCLyCCLbABwd3fnO0KJPZK+Uv9cQaq/H1RC6ipOCqmbY2u+I5BCam7bAJYSc75jEB3QzKYBysloOihdYCwyQpfyrfiOQXSAucQU/Sp25DuG3rufEo/PHoSh1tOKOMe1ARNaFms9Qst+Gk6m/wy2yK5Ro4b6AnldJAQQ9O/82ABQXqK/RbbAvAffEYiOqGfphppmut9LxRAMcurKdwSiIwScAD0d2/IdgxRCL8d2MBbpb886olljKvfnO4LBiEhLQvuHoaj0yBZH0Q4qoV2hn8vJakIgpxlcispgi2yxWIyaNXV3YA6hHYe3GbHq2+Uk+jl4EGfcFAJZNb5jEB0yujKdbdV2JiJjDHQq++6JRHfRfq0bRlbqzXcEokOa2TZALbOqfMcwKG8yU9ErNATlQk2wS9kOClGFAp8jtKDP3+Iw2CIb0O0u42/ssk/XZSfSz4HiRTbj+I5AdMwwlx6QCnS3l4ohGOjUBSZiY75jEB1S38oNTa3r8x2D5MPVtBJa2TfmOwbRMWPoBBovEpWZGPo4BDYPRPDPbItMcaU8lhRAYEk9DorDoIvsSpUqwdTUlO8YxRIqe5Xtto2o+L/KA2eUmDg/E0O+ycTJyyocClTiy58y8bWfAmnp/w0+zxjDpB8z8eXiTCzbmDUX3pwVCnz7mwJPXzA8fcHw29+KYufIQVQOAvOemlsfMQg2UitqJdVyk6sN5TsC0UFTXIfxHYHkY3yVgXxHIDpomEtPOjHOo3SmxIQnD2F5X4nf03yQJq6e7XGBeRcIpJV5SqfbDLrIFggEaNasGd8xikzMAUHp2ef5tipBQ3a3VkL8b44YK74XYccxJVbvUMJIxsHaHJBJ/xtJ8OIthlpVBFg2S4zgMIaMTAbGgH4dBLgZosIf/ygxaZCw+EE+IbKdAI4+eEkxTHUdzncEkodWdo3hblG94AUJ+UTvCu3hKLcveEFS5myklhhbhVq7SNFZSS3Qu0J7vmMYPCVj+CYyDJb3UrAwpRWSJFm9fUV2X/GcTHcZdJENAJ6enrCwsOA7RpEIbTlEZ8Zlu89CUPLpzn/6S4mRPYVITAYWfSmChRmHwGv/zSX+8g1DhXJZP9tacoiJA6o6cTh6XoX38YBnbQ7LNipx+KyyxFkgMIbQemzJ10MMkodlLXQo14LvGCQXs2rSJSCkeEQCESZRLwitNM31cxrwjBTbuCoD+I5APvLj88ewvRuHP9hoCIyb8B1HZxl8kS0UCuHtrVtzOkbZJeW4z0xQ/MKWMYbvlyvQvpkADdw4ONhmtV5bmAGJyf8V7472HF6+yfo5+j2DtQUwvIcQEwcK8fw1w8s3DKP7CHH5dskLfqHNRHCi4k0zQAgALK4zHRxoTkdt4mPfFG3LNec7BtFhk6sNpem8tIyVxAKTqg3hOwbRYS3svNDajoo5bdPAkU5qloTBF9kAULduXdja6s6XdqjsZY77TLjMYq/vf/8oceaqCntPKvH3PhWa1+cw/RcFzlxVoV0zAXafUOJQoBLN6nEICVdh+i8KuLtykIizCpilfysxdagQjesK8Ms6JcxLNt89ILKHyH5mCVdCDJ2HZS0McOrMdwzyLw4cfqozg+8YRMcZi4ww120S3zHIR6a6DoOpuKRf/MTQ+Xl8QyfGtUhruyZoadeI7xg6jWOMlbzZUQ+EhIRgx44dfMcokBTAEveDiM2Mz3b/M/dysM24zk8oDRNVWAGRzRi+YxA9EJ4UiZpHOyJTVfyTUEQz+lbsiB1Nf+c7BtEDCpUCbsc6ISzxKd9RDF45mS1COx2HmVg3B5El2mXYla+xKXIf3zEIgIs+29HUhmZ0KAlqyf5XzZo1Ub58eb5jFEhgz+UosAFAhjQe0mgeJ6sFofXnfMcgeqKKiTPGVqbBePgm4kRY6D6N7xhET4gEIiyuM53vGATArx7fUoFNNGZRnWkwEsr5jmHweldoTwW2BlCR/ZE2bdrwHaFAr+wSc71fwlLKOEnpEJX/CRynuRHKCZlXewrsZTZ8xzBo06t/jmqmLnzHIHqkV4X2dA0nz1rbNcEg5258xyB6pIKRA+a4fcF3DINmJ7XGqgbz+I6hF6i7+CcOHz6MoKAgXradkZGBw4cPQygUQiKRICMjA+np6ahUqRIiIyMBAImuCkS8eAa8ygRqy4HGJsDOWExpIMLPX2bA9w8FJg0SwsZS965rEVj0gcRlM98xiB7a9+IEel6cyHcMg1TLrCputtsHqVDKdxSiZ8KTIuF+rAtSlfrRk0uXSARi3Gl/EDXMqvAdhegZhUqB+gE9cDc+lO8oBml/8z/RzdGH7xh6gVqyP9GuXTveBkELCQlBrVq10K1bNyQmJqJbt27o0qULLl++jE6dOqF3586IPPc4q7DuagE8TQduJAM1ZBALMnHptgrVXTidLLAhdoS4wgq+UxA91aNCWwxy6sp3DIMj5ITw9/qZCmxSKqqYOONHd5rDlQ8za4yhApuUCpFAhDWeC2gQNB6McPC642gAAGpRSURBVOlFBbYGUZH9CbFYjN69e0MoLPsuywkJCTAzMwMAcFzWh8u5c+dgZmYGuVwOYxcZmI0QCE4BTidk/fbilRA8z8SzV+nYuF8JlQpYsk6BpBRd6qDAQey0lqbsIqVqRf05NPVPGfu6xmg0tK7Ddwyix750HQFvWy++YxiUptb1MddtMt8xiB5rbFMP06rT+DxlydnIEcvrz+Y7hl6hIjsX9vb2vFyfbWZmhoSEBACASqXCiRMnULVqVVhaWiItLQ3hRtFAeQkwzh7obQVYiYCWZjB3NEKNygJYmQMPnjD4NBHg+EVVmecvLqHtFAhNW/Edg+g5K6kF1ngu4DuGwaht7gpfOhAnpUzACfB3o19gJbHgO4pBsJJY4J8mSyESiPiOQvTcz3W+Rlv7ZnzHMAgcOPg3+pkGMdQwKrLz0LhxY1SrVq1Mt1mzZk2EhITg0KFDEIlEuHnzJh48eAATExP8+eef2L/hIGArAta9Bc4mABYioKYcJiohAq+p0LWlECoVsPmgCvVq6MavlpO5Q+Qwn+8YxEB0dfTB7Fp0bXZps5JYYF/z/1E3cVImnI0dsb3JMghp0MxSt95rMZyMtX8mFqL7hAIhtjddjqomznxH0XtTqg2jObFLAQ18lo/k5GSsWrUKycnJfEeBKQfMd9uHeEVSjseG2FbEX1aXeEhVQqJykLqeBSehD1BSdhhj6H3xC+x9eYLvKHpJxIlw3Hs9WtvTyM+kbP0Wuh7Tby/mO4be+tJ1BJbW+57vGMTAhCQ8RuOTfZGQmfP4l5RcXYsauNJmF2R0UlzjdKO5kyfGxsbo168fRCL+u0Uxe+RaYANAOYm4jNNogMAYksp7qMAmZY7jOGxq7Ic65jX4jqKXltb7jgpswotp1T/HUOcefMfQS50cvOFX91u+YxADVNOsKrY2/g0CjkoWTXM2csTRFuuowC4l9BdbACcnJ/Tp0wcCAb9v1XObhDwfs9OCkwBFI4DYeSMERjTRPeGHscgI+z9bBRspDbanSWMq98ekakP5jkEM2JqGP6KpNX23aFJ9Szdsb7IcQgF1xyf86Fy+FRa5T+M7hl6xlljimPc6OMjt+I6it6jILoTq1aujS5cuvGa4L3mR52M2It36NYocf4XQvDPfMYiBczGugKMt1sGcBvrQiJ6ObfG/Br58xyAGTiaU4kiLtfC0dOc7il6oZuKCoy3WwURszHcUYuC+qTkOg5278R1DLxgJ5Tj42Wqahq+U6VZ1xqN69eqhY8eOvGzbggOuZoTm+bilDjVkC+2/h8h2At8xCAEAeFq540iLtTAR0QFkSXRy8Ma2JstoxGGiFcwlpghouQF1LeiSkJJwNnLEiZb+sJNZ8x2FEADAuoaL0LV8a75j6DS5UIZDn61BE5t6fEfRe1RkF4GXlxcvhbayHEOiIu/B1ywEujF2nchhPsQOP/Adg5BsmtrUx7EW62AmNuE7ik7qWr419jT7AxKhhO8ohKhZSsxxsuXfcDMr21lC9EVNsyq44PMPnI0d+Y5CiJpUKMWeZn9goBO/vUt11YcCu5V9Y76jGAQqsouIj0I70jo+38fNBMoySlJcHESOv0FkP5PvIITkqpltA5z0/pvm2i2i3hXaY3ezlTRVF9FKNlIrnG61CY2s6vIdRac0sKyNc623ooKRA99RCMlBJBBhc+NfMa7KAL6j6BS5UIaDn62mgUnLEBXZxeDl5YWBAwdCKi2bA8v8rscGABMuo0xyFAsngdj5b4hsSz43sa+vL+7du1ek5/Tp06dQywUGBmLlypXFiUX0REPrOrjSZidqmFbmO4pOmFljDHY0/R1igQ7ObkAMhp3MGmdabUbvCu35jqITvG29cKbVJthIrfiOQkieBJwAf3ougK/bFL6j6IQqJk647LMDPvZN+Y5iUOgCumJydXXF2LFjsX37drx9+7bUtmPNcbiaHpbvMkbaWmSLHCBx2QiByWe5Puzv7w8bGxt06dIFAwYMwIsXL9CrVy8EBQXBz88PmZmZmD17Nuzs7NCzZ08AwJo1a5CYmIgWLVpg5MiRWLhwIaKjo5GYmIilS5di7969uHjxIuRyOfz8/AAA0dHRmDlzJn788Uds2LAh2/Jr165FZGQk4uPj0aBBgzJ7a4h2qmbqgittdmHgla9wNOos33G0kkwoxVrPhRjs0p3vKIQUilwkw86mK/BN8C9Y8nAt33G01ujK/bCy/hzqmUJ0xtzak+Fq6oKR175FukpLj4V51rV8a2xstAQWEjO+oxgcKrJLwMrKCqNGjcKBAwdw//79UtlGpoMSScqUfJeRIa1Utl0SApOWEDv/DU5sX+jnmJqaYtq0aTh48CDOnj2LW7duYc6cOahWLeuaupMnT6J///5o1qwZ+vfvj8aNG+PcuXNo0qQJ0tLSEBISgr1792Lv3r3qdcbExGDatGlYvnw5Xr9+nWP5c+fOYe/evdi+fTvevXun8feB6B5ziSkOfbYGM+/8gl9D1/EdR6uUl9tjX7P/oaF1Hb6jEFIkHMfhl7rfoLppZUy6OQ9pynS+I2kNuVCGP+rPxcjKhev5RYg2GejcFS7GFdDjwgS8TY/hO47WEHACLKj9JWbVHA+O4/iOY5CoyC4hiUSCPn36oHz58jh58iQY0+wgZBFW8YCigAws/yK8bHEQ2s+EqNwccFz+c2pKpVIoFFkvLjk5GcbGWSM8i8VipKengzGWY35yc3PzrK1wHFQqFdzc3ODr65vnNkxMTCAQCPDmzZtcl5dIJOoshHwg4ATw8/gW9S1r4Ysb8xCXmfc89YaitV0TbGq8BOXlhT9xRoi2GVW5LxpauaP/pal4mPiE7zi8q2LihF1NV8DDshbfUQgptiY29RDc4RAm3ZiHXS+O8R2HdzZSS/zTeCnalGvGdxSDRtdka0jTpk0xbNgwmJpqds7du+LnBS4jUiVpdJvFJioHceV9EDvMK7DABgBvb2/s2rULS5cuRVxcXI7HJ06ciPnz5+Pbb7/FpUuXcjzu5uYGgUCAadOmYcKECXj+/Dm6deuGL774AjNnzoRCoYBUKsWff/6JRYsWQSgU5li+WbNmWLx4MQ4dOqSJd4DomUHO3XCvw2F0cvDmOwpvTETG+F8DX5xs+TcV2EQv1LGogRvt9mFi1cHgYLgtPJ9X6oOgtnupwCZ6wV5mg53NVmBPsz/gILPjOw5vvKzq4Ga7/VRgawGOabrp1cBlZGTg3LlzuHLlCpTKko36bcdx+LrWLiQrU/NdLqVGDDheW7MFENqMh8jBF5yQrvkg+mnDk1346vYixGcm8h2lzLSya4z1XovhYlyB7yiElIoTry9gwo25CE96xneUMlPVxBlrPH+kaXyI3orLSMD024ux/ukuvqOUGblQhm9qjMWsmuNoSk0tQUV2KYmNjcXx48cRFpb/oGX5MXNQYpr5P/kuIxeIEFvtabG3UVKckSfEFVZAYEST2hP99zLlNb66vQg7nx/lO0qpspNaY37tqRhbZQBdy0X0XroyHUvD/LHwwSokKZL5jlNqRJwIM2qMwly3yZDR4GbEAJx8fRFjg2bjaXL+s/Tout4V2uNXj1k0r72WoSK7lD169AjHjx9HTEzRB2OIqR2LFYoj+S5TXW6G206lM+havkT2EJX7HkLr0eA4uuqAGJag2Lv4NtgPp97kvIxBl5mKjDG9+ihMr/45TMTGfMchpEy9Sn2Db+/4YXPkfjDo16FRrwrtsMh9Oqqb0RSFxLAkK1Iw5+5y/PF4s96NQN7AsjZ+rvs1Tc2lpajILgNKpRJXr17FpUuXkJxc+LPkZ+rdwdnUu/ku08bCDgftb5Q0YuGJK0JkNw1C65HgBLKy2y4hWujE6wv4NtgPN9/zcKJLgyQCMSZUGYTva02Arcya7ziE8Opm7H38/HANdr84DiUr2WVffOvk4I25bpPhZV2X7yiE8OpV6hv4PVyHNU+2I1mhTQMGF52bWTXMd5+KXhXa8x2F5IOK7DKkVCoREhKC69ev49mz/K//Ks9xmFprJ1KV+U/PNczOCastL2oyZq44aVUI7b6G0GoQOE5c6tsjRFcwxnAkKhDLw/7GiTelvy9qkqXEHGMq98OkakNR0ciB7ziEaJXwpEj4PVwH/4g9OjXll1QgQZ+KHTC12nCabo+QT0Snx+L3sI1YHb5Np6b84sDhM1tPjKsyAAOcukBAvUi1HhXZPHn79i2uX7+O4OBgZGTk7L5i7qDEVwVcjw0AXztWxnyTs6UREeDEEJh1hNBqOARmHalbOCEFCEl4jNWPt2FT5H7EZsTxHSdPjazqYkyV/hjo1AVGIjnfcQjRam/SorHh6W5sjtiP+/9v777DoygXt4/fsy2kd6pAlN6kWigKigoqiHhURDwK9kKxIOoRFVQsR8B6xHaOiC8/AZEiikiRIkiVXqREek8BEkLaZt4/IpFIMSSTzO7m+7kuLsju7My90dmde8ozx7baHees6oQl6MFaPdTnwn8oNija7jiAT8v2Zmvinhn6z9ax+iV5pd1xzqpOWIL+mdBN/0y4mUFI/Qwl22bZ2dlau3at1q5dqz179hTcZzu5cZLez/37e/29lVBXfYPmWJjIISO0jZzRt8kZdYsMV7yF8wbKhyxvlr7bN1ff7vtJ0/fPU1JWqq15DBlqEd1IN1W7WrdU66TGUXVtzQP4q9WpGzV257f6atd32nvioN1xVDOkmrpWvVq3XHCdOlS8jIEKgWJYe+Q3Td07WzMPLNKS5NXKNXNtzRPtiVSP6jfo7oTuah3HwML+ipLtQ06cOKHff/9d27Zt05dBU/XN0Z//9jWf16qvO1yzSrRcI6iuHGFXyhF2hRxh7WW4K5dofgD+5M3zanHyKn27b46m75uvjce2lcmgSuGuUF0R30pdq16trlWvVrUQ1mvAKnlmnn5NWa8fD/ys2Qd/0ZLk1WUyqJLH4VaL6Ea6sUoH3VStoy6Oql/qywTKk7ScdM09tFQzDyzUzAMLtTV9R6kv05ChhhG11SauhTpXuUJdqlzFbbgCACXbh+3O2K9FSb9qVepGbTi6VRuPbdOujP2FBmKZWq++rlMRS7YRJMNzoYyg2jKCassR0lKOsCso1UAZSstJ16rUjfo1dYNWpm7Qr6nrtS19l3Lycoo9z2hPpC6OrKeW0Y3VMqaRWkY3Vt3wCzmqBZSRLG+WlqWs1crUDdp0LFEbj23TpmOJJTqLJdQVolqhNdQqprEuiWmiVjFNdHFkPTa+gTK04/gezTqwSIuTVykxfZe2pe/S/hOHir2z3GW4VDc8QY0j66pxZB1dEnOxLo9tpihPhMXJYTdKtp/J9mZrR8Ze7c04qKTsVDVyHVNd516Z3uOSmZU/4rcjRDJCJEewDEeI5IqVI6iW5K7OddWADzJNU0lZKdqfeVj7TxzW/sxDOpiZpKy8bOXmeZWnPLkMl1yGUxHuMFUJrqgqFeJVJTheVSpU5LpqwEcdzkzW7owDSsk+opTso0rJPqLk7CPK9GbJ7XDJbbjlcbjldrgU4gxW5eA4ValQUdVDqqgiI/0DPulEbqa2H9+tA5lJOpSVrEOZyQWDqIU6QxTqClao64+/nX/+O8IdplqhNdhRVk5Qss9DYmKinnjiCX3//ffyeq29rceOHTv0wQcfaPjw4ZbOFwAAAABQdlx2B/Ano0aNUm5urtq3by9J+uCDD5SYmCin06nhw4dr/PjxmjNnjsLCwuRwODRo0CD169dPdevW1axZs7RkyRKNGjVKW7Zs0ZEjR/TKK69o0aJFmj17tsLCwuR0Os+43FtvvVUTJ04sy7cKAAAAACgGSvZ56NKlixISEjRv3jxJ+fe9DgkJ0bx583To0CG99dZbatSokTwej9atW6c+ffooODhYISEhCgoKUp8+ffTjjz/qkksuUVRUlHr27KkDBw5o8uTJWrlypd555x099thjat26ta677jr169dPtWvX1p49e+x94wAAAACAIuEC3WJKTk7WmjVrNGzYMNWtW1cZGRmSpGuvvVa9e/fWgQMHZJqmQkJCNGnSJBmGoYMHD+rCCy/U+PHjde+996px48a68MIL1bhxY02YMEEVKlRQfHy8Vq1apfHjx+vhhx/WsGHD5Ha7bX63AAAAAICioGQXU1RUlDIyMjR8+HBt2bJFknTJJZfos88+05gxY5Sdna0mTZooOztbhw8flmma+uabb1SvXj1dfPHF+vrrr9W1a1dFRESoW7du2rZtm1q0aKEhQ4ZoxIgRkiSPJ39ghKCgINveJwAAAACg6Bj4zEJDhgzR119/LUnq2LGj9uzZo/T0dK1cuVJDhgzRxo0bFRwcrNDQUF111VWaNm2aUlJS9MADDyg4OFgjR45UpUqVlJCQoB49emjw4MFq0KCBxo4dqxUrVtj87gAAAAAAf4eSbaHRo0crLi5OXbp0sTsKAAAAAMAGlGwAAAAAACzCNdkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSDQAAAACARSjZAAAAAABYhJINAAAAAIBFKNkAAAAAAFiEkg0AAAAAgEUo2QAAAAAAWISSHWASEhL0zjvvnHOaIUOGqFmzZmWSBwAAq40ePVpRUVElnk+HDh30+OOPl3g+vsSq341V8wGA8oiS7afO9uW3fPlyPfjggwU/G4ahKVOmFJpm4MCBmjNnTiknBHA+evfurZtvvtnuGIBf6NGjh7Zs2WJ3DJ9UnN/NmXbQ8zsGgOJz2R0g0GRnZ8vj8di2/Pj4+L+dJiwsTGFhYWWQBgAA6wUHBys4ONjuGD4nJyfHst8Nv2MAKD6OZJdQhw4d1LdvXz3++OOKi4tTp06dtH79el1//fUKCwtTpUqV9M9//lNJSUmnvaZv376KjIxUXFycXnjhBZmmWTBNVlaWBg4cqGrVqik0NFSXXXaZ5s2bJ0maN2+e+vTpo6NHj8owDBmGoSFDhkgqvDc6ISFBktS9e3cZhlHw819PF8/Ly9PLL7+sCy64QEFBQWrWrJlmzJhR8PyOHTtkGIYmTZqkq666SiEhIWratKkWL15cMM3OnTvVtWtXRUdHKzQ0VI0aNdL06dOt+0UDAWLixIlq0qSJgoODFRsbq2uuuUZPP/20vvjiC02dOrVgnT65vu/evVu33367oqKiFBMTo27dumnHjh0F8zt5BHzo0KGKj49XRESEHn74YWVnZ9vzBoFi+u677xQVFSWv1ytJWr16tQzD0LPPPlswzf3336+77rrrtLO5Tn6vffnll0pISFBkZKTuuOMOpaWlFUxz/Phx3X333QoLC1OVKlU0YsSI0zKkpqbq7rvvVnR0tEJCQnT99ddr69atkiTTNBUfH6+JEycWTN+sWTNVqVKl4OeFCxcqKChIGRkZ53yvd955p3r06FHosZycHMXFxWnMmDGSpBkzZqhdu3aKiopSbGysunTposTExILpT343jx8/Xu3bt1eFChU0duzY0343iYmJ6tatmypVqqSwsDBdcsklmj17dsHzHTp00M6dO/XEE08UfP5IZz5jbtSoUapVq5Y8Ho/q1aunL7/8stDzhmHos88+U/fu3RUSEqI6dero22+/PefvAgACESXbAl988YU8Ho8WLVqkN954Q1dffbWaN2+uFStWaMaMGTp48KBuv/32017jcrm0bNkyvfvuuxo5cqQ+++yzguf79u2rxYsXa9y4cVq7dq1uu+02de7cWVu3blWbNm30zjvvKCIiQvv379f+/fs1cODA03ItX75ckvT5559r//79BT//1bvvvqsRI0Zo+PDhWrt2rTp16qSbbrqpYMPipOeff14DBw7U6tWrVbduXfXs2VO5ubmSpMcee0xZWVlasGCB1q1bpzfffJOj5cBf7N+/Xz179tS9996rTZs2ad68ebrlllv00ksv6fbbb1fnzp0L1uk2bdooJydHnTp1Unh4uH7++WctWrRIYWFh6ty5c6ESPWfOnIL5ffXVV5o0aZKGDh1q4zsFzt8VV1yhtLQ0rVq1SpI0f/58xcXFFexwOvlYhw4dzvj6xMRETZkyRd99952+++47zZ8/X2+88UbB808//bTmz5+vqVOnaubMmZo3b55WrlxZaB69e/fWihUr9O2332rx4sUyTVM33HCDcnJyZBiGrrzyyoI8qamp2rRpk06cOKHffvutIN8ll1yikJCQc77XXr16adq0aUpPTy947Mcff1RGRoa6d+8uKX+nwJNPPqkVK1Zozpw5cjgc6t69u/Ly8grN69lnn9WAAQO0adMmderU6bRlpaen64YbbtCcOXO0atUqde7cWV27dtWuXbskSZMmTdIFF1ygl19+ueDz50wmT56sAQMG6KmnntL69ev10EMPqU+fPpo7d26h6YYOHarbb79da9eu1Q033KBevXopJSXlnL8PAAg4Jkqkffv2ZvPmzQt+fuWVV8zrrruu0DS7d+82JZmbN28ueE2DBg3MvLy8gmmeeeYZs0GDBqZpmubOnTtNp9Np7t27t9B8OnbsaD733HOmaZrm559/bkZGRp6Wp2bNmubbb79d8LMkc/LkyYWmeemll8ymTZsW/Fy1alVz2LBhhaa55JJLzEcffdQ0TdPcvn27Kcn87LPPCp7fsGGDKcnctGmTaZqm2aRJE3PIkCGn5QHwp19//dWUZO7YseO05+655x6zW7duhR778ssvzXr16hX6rMjKyjKDg4PNH3/8seB1MTEx5vHjxwumGTVqlBkWFmZ6vd7SeSNAKWnRooX51ltvmaZpmjfffLM5bNgw0+PxmGlpaeaePXtMSeaWLVtO+w586aWXzJCQEPPYsWMFjz399NPmZZddZpqmaaalpZkej8ecMGFCwfPJyclmcHCwOWDAANM0TXPLli2mJHPRokUF0yQlJZnBwcEFr3vvvffMRo0amaZpmlOmTDEvu+wys1u3buaoUaNM0zTNa665xvzXv/71t+8zJyfHjIuLM8eMGVPwWM+ePc0ePXqc9TWHDx82JZnr1q0zTfPP7+Z33nmn0HRn2z44VaNGjcz333+/4Oe/bjucaT5t2rQxH3jggULT3HbbbeYNN9xQ8LMkc/DgwQU/p6enm5LMH3744Zx5ACDQcCTbAi1btiz495o1azR37tyC657DwsJUv359SSp0mtfll19ecEqWJLVu3Vpbt26V1+vVunXr5PV6Vbdu3ULzmT9/fqF5WOHYsWPat2+f2rZtW+jxtm3batOmTYUeu/jiiwv+ffL0uEOHDkmS+vfvr1dffVVt27bVSy+9pLVr11qaEwgETZs2VceOHdWkSRPddttt+vTTT5WamnrW6desWaNt27YpPDy84HMgJiZGmZmZhT4LmjZtWujIWevWrZWenq7du3eX6vsBrNa+fXvNmzdPpmnq559/1i233KIGDRpo4cKFmj9/vqpWrao6deqc8bUJCQkKDw8v+LlKlSoF31GJiYnKzs7WZZddVvB8TEyM6tWrV/Dzpk2b5HK5Ck0TGxurevXqFXwftm/fXhs3btThw4cLjqp36NBB8+bNU05Ojn755ZezHmk/lcvl0u23366xY8dKyj9qPXXqVPXq1atgmq1bt6pnz5666KKLFBERUXDJ18kj0Ce1atXqnMtKT0/XwIED1aBBA0VFRSksLEybNm06bT5/Z9OmTee9rRAaGqqIiIiC/w4AUF4w8JkFQkNDC/6dnp6url276s033zxtulOv2zqX9PR0OZ1O/frrr3I6nYWes/MUbLfbXfDvkzsITp62dv/996tTp076/vvvNXPmTL3++usaMWKE+vXrZ0tWwBc5nU7NmjVLv/zyi2bOnKn3339fzz//vJYuXXrG6dPT09WyZcuCDfFTFWWQQ8DfdOjQQf/73/+0Zs0aud1u1a9fv6DEpqamqn379md97anfUVL+99RfT60uqSZNmigmJkbz58/X/PnzNWzYMFWuXFlvvvmmli9frpycHLVp06ZI8+rVq5fat2+vQ4cOadasWQoODlbnzp0Lnu/atatq1qypTz/9VFWrVlVeXp4aN2582ngLp26DnMnAgQM1a9YsDR8+XLVr11ZwcLBuvfXWUhu3oSz+OwCAr+NItsVatGihDRs2KCEhQbVr1y7059Qvwr9uVC9ZskR16tSR0+lU8+bN5fV6dejQodPmUblyZUmSx+MpGBzmXNxu9zmni4iIUNWqVbVo0aJCjy9atEgNGzY8n7eu6tWr6+GHH9akSZP01FNP6dNPPz2v1wPlgWEYatu2rYYOHapVq1bJ4/Fo8uTJZ1ynW7Rooa1bt6pixYqnfRZERkYWTLdmzRqdOHGi4OclS5YoLCxM1atXL7P3BVjh5HXZb7/9dkGhPlmy582bV6SjxGdSq1Ytud3uQt+9qamphW5R1aBBA+Xm5haaJjk5WZs3by74PjQMQ1dccYWmTp2qDRs2qF27drr44ouVlZWljz/+WK1atfrb0ntSmzZtVL16dY0fP15jx47VbbfdVlBQTy538ODB6tixoxo0aHDOs17OZdGiRerdu7e6d++uJk2aqHLlyoUGT5SKtk3RoEEDS7YVAKA8oGRb7LHHHlNKSop69uyp5cuXKzExUT/++KP69OlT6Ats165devLJJ7V582Z99dVXev/99zVgwABJUt26ddWrVy/dfffdmjRpkrZv365ly5bp9ddf1/fffy8p/7S49PR0zZkzR0lJSWcdyTQhIUFz5szRgQMHzvoF/fTTT+vNN9/U+PHjtXnzZj377LNavXp1QZ6iePzxx/Xjjz9q+/btWrlypebOnasGDRoU+fVAebB06VK99tprWrFihXbt2qVJkybp8OHDatCggRISErR27Vpt3rxZSUlJysnJUa9evRQXF6du3brp559/1vbt2zVv3jz1799fe/bsKZhvdna27rvvPm3cuFHTp0/XSy+9pL59+8rh4CMe/iU6OloXX3yxxo4dW1Cor7zySq1cuVJbtmw555HscwkLC9N9992np59+Wj/99JPWr1+v3r17F1pH6tSpo27duumBBx7QwoULtWbNGt11112qVq2aunXrVjBdhw4d9NVXX6lZs2YKCwuTw+HQlVdeqbFjx553vjvvvFMfffSRZs2aVehU8ejoaMXGxuqTTz7Rtm3b9NNPP+nJJ58s1nuvU6eOJk2apNWrV2vNmjW68847TzuynJCQoAULFmjv3r2F7oZyqqefflqjR4/WqFGjtHXrVo0cOVKTJk0648CrAFDesQVmsZNHhb1er6677jo1adJEjz/+uKKiogp9md999906ceKELr30Uj322GMaMGCAHnzwwYLnP//8c91999166qmnVK9ePd18881avny5atSoISl/D/jDDz+sHj16KD4+Xv/+97/PmGfEiBGaNWuWqlevrubNm59xmv79++vJJ5/UU089pSZNmmjGjBn69ttvz3rd25l4vV499thjatCggTp37qy6devqww8/LPLrgfIgIiJCCxYs0A033KC6detq8ODBGjFihK6//no98MADqlevnlq1aqX4+HgtWrRIISEhWrBggWrUqFFwbep9992nzMxMRUREFMy3Y8eOqlOnjq688kr16NFDN910U8Ft/QB/0759e3m93oKSHRMTo4YNG6py5cqFrqE+X2+99ZauuOIKde3aVddcc43atWtXaEwVKf+7t2XLlurSpYtat24t0zQ1ffr0QqdA/zWflF+8//pYUfTq1UsbN25UtWrVCl3v7HA4NG7cOP36669q3LixnnjiCb311lvFet8jR45UdHS02rRpo65du6pTp05q0aJFoWlefvll7dixQ7Vq1TrrpSg333yz3n33XQ0fPlyNGjXSxx9/rM8//7zYZxcAQCAzTPOUmzOjTHTo0EHNmjUruJ81ABRX7969deTIEU2ZMsXuKAAAABBHsgEAAAAAsAwlGwAAwEJjx44tdAvOU/80atTI7ngAgFLG6eIAAAAWSktL08GDB8/4nNvtVs2aNcs4EQCgLFGyAQAAAACwCKeLAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBFKNgAAAAAAFqFkAwAAAABgEUo2AAAAAAAWoWQDAAAAAGARSjYAAAAAABahZAMAAAAAYBGX3QFQMrl5ucrKy1aWNzv/77xsZXqz5DXzFOOJVMWgWDkdTrtjAjhPmd4sZXqzdMKbWfC318xT5Qpxiq8Qa3c8AMWQ7c3WCW+WMvOyCtbxrLxsRbkjVDW4olwONssAIBDwae4H9mTs1/qjW7Xu6GatO7JF645u1rb0XX9sdHvP+VqH4VCcJ1pVguN1YWh11QmvqTphCaobnqBLYi5WiCu4jN4FgFNtS9up1Uc2atOxRP127Hf9lva7dh7fp+PeDGV5s2XKPOtrgxweXRBSWdVDqqh6cJU//l1ZNUOqqXVcc0V7IsvwnQA46VBmsn5NXa+NR7fpt7TftTntd21N26mjOWnKystWnpl31tc6DacqV4hT9ZAqqhFSNX/9/mM9bxHdSAmhF5ThOwEAlIRhmubZt+RQ5rK92Zp1cJFm7P9Za45u0vqjW5WafbRUluVxuNUmroWurdRW11Zqq5YxjeUwuIIAsJppmvolaaWm75+v5SlrtSJ1famt1w7DoRZRjdSxUmt1rNRa7eJaKdhVoVSWBZR329J2avLemfolaZVWpKzTnhMHSm1ZF4VWV8dKbXRNpTa6utLliguKKbVlAQBKhpLtA7K8WfrxwEJN3D1D3+6bo6M5abbkiPFE6eqKl+vaym11XeV27DUHSsA0TS1JXq0Ju6dr4u4ZpbrxfS5BDo9axzVXx4qtdV3ldro0tqktOYBAsS1tp77e/YMm7J6u1Uc22ZLBkKGmUfX/LN0VL5fH6bElCwDgdJRsm2R6szRj/wJ9vfsHfbd/ro7lpNsd6TTXVGqjAXXv0Y1VrpJhGHbHAfzC0uTVmrDrB03cM0O7MvbZHec0DSJq6YGLeujuhJsVGxRtdxzALySm79SEXT/o690/aNWRjXbHOU18UIzuSeiuB2vdoTrhCXbHAYByj5Jdxg5lJuudLaP14baxth2xPl+1w2qqX51/qs+F/1C4O8zuOIDPyc3L1ejtk/TGbx8rMX2X3XGKJMjh0W3Vr9dT9e5Vs+iGdscBfNJPBxdr6Ib3teDwcrujFNlVFS/X43V7q2vVq9lBDgA2oWSXkZ3H9+rNTZ/o8x3fKNObZXecYolwh6lPwj/Ur+4/VSuspt1xANt587was2OyXt34oX4/vtvuOMXWsVIbDax3nzpXudLuKIBPmHdoqV5a/65fleu/qh9+kZ6qd5/+mdBNQc4gu+MAQLlCyS5lhzKT9cqG/+iT38cpOy/H7jiWcBgO3VH9Ro1o9pwqB8fbHQcoc948r8bu/FavbPyPtqXvtDuOZVrHNteolkPVNLqB3VEAWyw4tEwvbXhP8w4ttTuKZS4Irqx3mj+vf1TvbHcUACg3KNmlJCP3hN787RON3Py50nOP2x2nVES6w/Vak6f0cO2ejEqOcsE0TY3b9Z2GbvhAm9N+tztOqXAaTvWr80+93HgAl4eg3FictEqD172tnw4ttjtKqbm+Snu93+IFzkQDgDJAyS4Fy5PX6q6lA7UlbbvdUcrEpTEX66NWL6t5dCO7owB/69Zbb9XEiRPP+3X7ThxU76XPaNbBRaWQyvdUDa6kkc2eU48aN9odBSiS4qzbWd4s/WvtSL295fNz3ps+UFRwBum5Bg/pmfoPcgo5AJQiSraFvHlevbZplF7e8B/lmrl2xylTJ49+vdL4cYW5Q+2OgwAwevRozZ07Vw0bNpTT6dSJEyeUlJSkypUr67nnntODDz6oiIgINWrUSJdffrmGDh2qGjVq6O6771ZOTo5Gjx6t3NxctW7dWtddd5369eun2rVra86cOVqyZMl5ZZm050c9uPwFJWenltK79V3XVmqr/7QcwojFsIyvrNvrj2xRryVPae3R30rx3fqmuuEX6j8tXtI1ldvaHQUAAhLn+FokMX2nrvipp15c/265K9iS5DW9emfLaDX4obN+3P+z3XEQIK699lo988wzWrZsmfLy8hQREaFJkyZJkg4cOKCrrrpKPXv21KFDhxQdHa0777xTjRs31siRIxUdHa34+HitWrVK48eP18MPP6xhw4bJ7XYXefnpOcd177Jn9Y9FfctlwZakWQcXqcmMG/XO5s/tjoIAYue6bZqm3t78uVrN6l4uC7YkbUnbrmvn99Y9Swf57WCsAODLXHYHCASfJU7QE6tfC9hrr8/HnhMHdMPP9+uVxo/rXw0fsTsO/Fxubv4Oq8OHD8swDL3yyitauHChJGn8+PGaO3euevfurXHjxumiiy7Sf//7X61Zs0bZ2dkaMGCAoqPz7wP9/vvvy+PxSJKCgop2iuSSpFW6a+lAv7klV2nKysvWE6tf07qjWzSq5VB5nB67I8HP2bVu7804oHuWPaM5B38ppXfmX8bsmKxNxxI1td0oVQmuaHccAAgYnC5eAhm5J3TXkqc0ee8su6P4pH9c0EmjL32T08dRLKNHj9bMmTNVuXJlRUZGau3atWrdurVGjx6tVatWacCAAQoODlZoaKiuuuoqTZs2TSkpKXrggQcUHByskSNHqlKlSkpISFCPHj00ePBgNWjQQGPHjtWKFSvOuexXN/xHQzd8UC7PSvk7V8S30jdtPlB8hVi7o8BP2bVuf7fvJ929dJBSs4+W4bv1D9WCK2lqu4/UMqax3VEAICBQsovpaHaauvz8oBYmnXtjvby7OLK+pl/5qaqFVLY7CvzM6NGjFRcXpy5dupTZMnPzcvXA8uc1esekMlumP0oIvUDT2n2sxlF17Y4CP2THuv1p4ng98utL8preMlumvwl2VtDoS9/U7TVusDsKAPg9SnYxHM5MVqf592rVkY12R/EL1UOq6Icr/6tGkXXsjgKc1YncTN2+uL++2zfX7ih+IdwVqrGXj1DXah3tjgKc09D172vIhvfsjuEXDBl6sVFfvdSonwzDsDsOAPgtSvZ52ptxQNfMu0e/Beg9cktLlDtCU9p9qPYVL7M7CnCaYzlpun7+/foleaXdUfyKw3BoZLPnNKBub7ujAGfUf+XLen/rl3bH8Du3V79BYy8fIZeDoXsAoDgo2echMX2nrpnXWzuO77E7il8KdYVo/lVjueYLPuVYTpo6zb9XS5JX2x3Fb31+6RvqfeE/7I4BFDBNU31XDtWH28baHcVv3ZPQXaMv+7fdMQDAL3ELryLacHSrrphzJwW7BI7nZujGnx/Q9vTddkcBJFGwrfLA8sGavm+e3TEASfkF+7Ffh1CwS+iLHZP13NrhdscAAL9EyS6CPRn7dfXcf2p/5iG7o/i9g5lJ6rzgPiVlpdgdBeVctjdbNy54kIJtgVwzV7f90l9L+V3CB/xr3QiNSvw/u2MEhDc2faz3t4yxOwYA+B1K9t/I8mbpH4v66lBWst1RAsaWtO3q+vNDOpGbaXcUlGNPrH6NuwNYKMN7QjcueFCbjzFeBewzcfcPemPTx3bHCCiPrx6mCbum2x0DAPwKJftv9F35spalrLU7RsBZkrxaPZc8IW8et1NB2ftyxxROJS0Fydmp6rzgPu0/wVk/KHubjm1Tn2XP2R0j4OSZebp76dOae3CJ3VEAwG9Qss/hk8Rx+uz3CXbHCFhT985Wv5Uv2x0D5czq1I16aMULdscIWDuO79H1C+5Tes5xu6OgHDmWk6buCx9Tei7/35WGrLxs3bzoEa0/ssXuKADgF8pdyb711luLNN2SpFUUwDIwKvH/9P92TLU7BsqJ1Oyj+seivjrh5VKF0rTmyG96fNUwu2OgnDBNU/csfUabubVmqTqWk647Fj+uTG+W3VEAwOf57C28Ro8erblz56phw4ZyOp06ceKEkpKSVLlyZT333HN68MEHFRERoUaNGunyyy/X0KFDVaNGDd19993KycnR6NGjlZubq9atW+u6665Tv379VLt2bc2ZM0dLlpz7lKeDmUlqOfNm7T1xsIzebfkW44nSxut/UKUKcXZHQQAzTVNdfn5A0/fPtztKuTGl3Sh1q3aN3TEQ4IZt/FCD171td4xy4/G6vfV28+ftjgEAPs2nj2Rfe+21euaZZ7Rs2TLl5eUpIiJCkyZNkiQdOHBAV111lXr27KlDhw4pOjpad955pxo3bqyRI0cqOjpa8fHxWrVqlcaPH6+HH35Yw4YNk9vtPucyTdNUj18GULDLUEr2ET326xC7YyDAvbLxAwp2Gbt/+b904MRhu2MggM0+sEgvrn/X7hjlyrtbvtDsA4vsjgEAPs2nS3Zubq4k6fDhwzIMQ6+88orCwsIkSePHj5dhGOrdu7fat2+vf/3rX5oyZYq++OILZWdna8CAARoyZIhGjBghSfJ4PJKkoKCgcy7z09/Ha/7hZaX4rnAm3+z5URN3/2B3DASozcd+16sbR9kdo9xJykrVI7++ZHcMBKhsb7Ye/XWI8sw8u6OUK6ZM3bv8OcZdAIBzcNkd4FxmzpyptWvXqkOHDlqzZo2GDx+uw4cPKycnR0899ZSCg4NVt25dzZ07V9OmTVNKSkrB0e9+/fqpUqVKSkhIUI8ePTR48GAtW7ZMR44cOevykrJS9NzaEWX3BlFI35Uv6+qKrRUTFGV3FASYJ1e/ppy8HLtjlEtT9s7SlD2zdPMF19odBQHmva1jtDV9h90xyqXdGfs1eN3beqfFYLujAIBP8ulrsuPi4tSlS5cyW+a9y57V59u/KbPl4XR31eymLy8fbncMBJAf9/+szgvutTtGuVYtuJI2XT9D4e4wu6MgQBzKTFad6dfoWE663VHKLYfh0NJrJqpVTBO7owCAz/HZkl3Wliev1WWzb5Upfh12++6KT3Rj1avsjoEAkJuXq4t/7KJNxxLtjlLuMVgSrPTA8ue5xaYPaBHdSCuunSzDMOyOAgA+hZL9h6vm3qV5h5baHQOSGkfW1dpO3/GljRJ7f8sY9V/1SvFnsOmEtChN8kraky29coE095i04Jj00gV/Tmea0meHJachVXRJXaKlr5KlXFO6LjJ/mmXpUtfoEr0ff1bBGaQdXeZxFwGU2KrUDWo165aSXYv913X7klBpf450zCs9UlEKc+ZPl5UnfXpICnZI0S7plhhpaqqUmSe1CJWquqVvU6We5ff/66ntPtJN1TraHQMAfIpPD3xWVr7b9xMF24esP7pF0/fPszsG/FxK1hEN2fB+yWbSIFi6v6LUIkRqHy4dzJHSvFK4s/B0v2VK1T3SvfHSjuz8ci1Tahsmbc+SZhyRro8qWRY/l+nN0jtbRtsdAwFgwKpXSz7Y2V/X7ZuipYcqSg2DpQOnjN+wN1uq4pHuqygd8UpJOVKGV7ohSvrthPTdkfydauXY65s+sjsCAPiccl+yTdPUs2u4BtjXvPnbJ3ZHgJ8buuF9pWQfsWZmi9KlNmHS90fyN67/KiVXiv1jHMlIZ34Rr+yRVmZI6V6pVgVpWqr0a/kejffDbWN1NDvN7hjwY9/snqGfD6+wboaL0qW24fk7xv53WFqfIVU55VafCUH5z405LKXmSql/rM8zjuSv89EuafZR6efy+//1kuTVHKgAgL8o9yV71sGF2nBsq90x8Bc/H16hxUmr7I4BP5WafVSf/D7empkl5UghjvzTSI95pbFJ0q5sadUphTnGJSXn33JQx/440n1VhNQ5UkrKzS/h10ZKm09Yk8lPHctJ14fbxtodA35sxOb/WTezk+t2sENyGflnolwZLq04Zd12GFKPWOnueCnUkX85yKVhUvcYaUumFO6QmoVIu7Osy+WHOJoNAIWV+5L9SaJFG+KwHEezUVxf7piiTK9FG71zj+WfTlrZIz1eWbonXqrhkZqHSkvS8zfI61fIv65z9GGppid/g12Sph2RukRJdStIk1PzN+jLuXe2jNaJ3Ey7Y8APrT+yRYuTLdz5enLdlvJ3nn1+OP9sk6Yh0pYT0syj+c/995D0ySHpogpS5B9nrMw4kr8TLSFImpem8j5m6swDC7UyZYPdMQDAZ5Trgc8OZiap+rQruX+ujzJkaMP109UgorbdUeBnLp7RReuObrY7Bs7igxYv6bE6d9kdA36m/8qX9f7WL+2OgbO49YLO+rptCcfBAIAAUa4Pq4ze/g0F24eZMvXWb5/ZHQN+Zmnyagq2j3vrt8+Um5drdwz4kUxvlv7fzm/tjoFzmLR3pjYf+93uGADgE8ptyTZNU5/9/vX5v3DTCemzQ9LHh6QX9uQ/NveYNHRP4ekyvNJHB6WX9/752FfJ0pdJ+SMUH8zJHwgJ5/T/dn6r5Cx+Tyi6TxO5d66v25mxV3MOLrY7BvzI17t/UGr2Ubtj4BzyzDyN3jHJ7hgA4BPKbcn+6dBibUvfef4vLOotfUKc0sOVpLBTf8Xc0ud85eTlaOre2XbHgJ9Iy0nXuN3f2x0DRfDtvjl2R4AfYfwU//DtXtZrAJDKccku8Rf2393S50y4pU+xfLPnR7sjwE98tes7Hc/NsDsGimDavp/sjgA/senYNi1MsvC2XSg1G49tU2JxDmAAQIAplyU7Pee4puydVfwZFOWWPmfCLX2KZfbBX7i3Lork8+3f2B0BRbQ7Yz+jEaNIxuyYYncEnIepHM0GgPJZshcnr1J2SQY8K8otfaT8a7d3ZOVfh30St/QpMkOGWgRdpIGHmypz/kK748DHpWYf1bKUtXbHwHnglHEUxcwDfP77E04ZBwDJZXcAO/x8uISnnd0We/pjT1bJ//vysD8fu7/i6dP1/OO19YPz/6CQEGcFXaU66rzRpWu/3qbKmzdKkty9q0nXXm9zOviyeYeWKs/MszsGzsO3e+doSOP+dseAD0vJOqLVRzbZHQPnYVHSSqVkHVFMUJTdUQDANuWzZHNtl0+p7qmo69Oqq9Mvx9V2wiZVSF9+2jS5c362IRn8yU8Hl9gdAedp1ZGN2p2xX9VDqtgdBT5q7qEl7DzzM7lmrqbvn6+7ErrZHQUAbFPuSnZOXo6WJq+xO0a55pBDl3hq6frdEbp2+n41+ul3SbvO+Rpz9z55f9smZ/3aZRMSfmfe4aV2R0AxTNv7kx6t08vuGPBR8w4tszsCimHavp8o2QDKtXJ3QfCvKet1wptpd4xyJ9wVqluMpvp4XVNtfaGCfuyxTo8PXPRHwS4a78Kzl6jExETddNNNcjqdZ52muHbs2KGBAwdaPl9YJy0nXRuPbbM7BophReo6uyPAhy1JXm13BBTDihTWawDlW7k7ks2p4mWnVlBVXZ9SRdf9nKbW32ySO7NkRxq9Gzaf9blRo0YpNzdX7du3lyR98MEHSkxMlNPp1PDhwzV+/HjNmTNHYWFhcjgcGjRokPr166e6detq1qxZWrJkiUaNGqUtW7boyJEjeuWVV7Ro0SLNnj1bYWFhpVLeYZ1fUzdwSqmf2nxsu90R4KOyvFlae/Q3u2OgGHZk7FWWN0tBziC7owCALcpfyS7poGc4K5fhUmt3LXXeHqZO3+5R7V9+l1T0I9V/51wlu0uXLkpISNC8efPyp/V6FRISonnz5unQoUOaMGGCvvnmGy1fvlzjx4/X+PHj9eijj6p9+/ZasGCB0tPTNWbMGHXq1EmStHLlSo0bN06TJ0/W0qVL9fXXX1v2PmC9ZVwC4rc2p1GycWarUjeW7E4gsE2emaetaTvVOKqu3VEAwBblrmSvSFlvd4SAEuOO0HVZF6nTKq+umrBZUftKr+zkbdxSpOmSk5O1Zs0a/e9//1OfPn2UkZEhwzAkqeDvUxmGIdM0Va1aNQ0ZMqTg8bFjx0qSgoLYE+/rVqZutDsCiik5O1XJWamKDYq2Owp8zJojHMX2Z5vTfqdkAyi3ylXJzjPzdDAr6e8nxDk1CKqu6w9X0rXzUnTp5M1y5h4qk+Wah5Jkph6RER11zumioqKUkZGh4cOHa8uW/GJ+22236aGHHlJQUJBiYmLUo0cP9e/fX3PmzJFpmgoPD9ell16qfv36yTRN3Xvvvbrlllv04osvKisrqwzeHUpiz4kDdkdACfx27He1jW9pdwz4mP2Zh+2OgBL4Lc26M9kAwN+Uq5KdlJXKdZvF4HG4daWzjjpvraBrp+xUzV+36ri5WTd6D+tZR4Q6O/Lv973ZzNGneelyyNC9jlAdNfM0y8xUuBwa4AzXq96jesQRplij+Nc35+3cK+cZSnaHDh3UoUMH9e3bV5I0btw4SSoYsCwlJUVr167Vvn371LdvX8XGxqp+/fo6evSo7rjjDknSoEGDCs2zRYsWxc6JsnU4K8XuCCiBzWmUbJzuYCY7xf0Z4y0AKM/KVcnmC7voKrqj1flEgq5bnq32E35TeNLKQs+/k5em7kZIocfe96apouFUlkxVklM/mpnq6wjXO3lpWpKXpTqGq0QFW5Lydu2Rs1mj835dixYtTivNp54aDv92KDPZ7ggoAa7LxpkcymK99mebOZINoByjZKNA06AEdT4Qp06zktT8u80yzP1nnG5uXqbqG25lyiz0+GozR987o7RPXn2Yl6Z7HKH6MC9NTQ23Jpsn1Mxwa6T3mB50hCnMKN7d4/J27S3W6xC4cvJydCTnmN0xUAKUbJzJQXae+TXWawDlWbkq2ewVLyzYWUFXqbY6/ebWtRN/V9WNRRtkZqGZpeMytdnMUQUZus6oIIdhKMFwKlSGouRQukxdYLj0L2ek3vem6UFHqMbkHVd3R4hmm5m6+S9HwYvK3HewWK9D4OJUcf/HmQg4E/6/8G9Hc9KU7c2Wx+mxOwoAlLlyVbLZKy5V88Src3p1dV6cqXYTNir42Pnf0uwFZ6QkaWzeccXKoYe9qfrEFaNHHOF63JuqbElPO8MlSb+buZKkWoZbeZL+Ly9DjzjCip3fZBAy/MXhTEq2ZTLzpP8dllyG1DBYape/HmvVcenHo1KzEKlzlHQgR5p1VPIYUo9Y6fsjUvMQqWrxNqaz8rLP+lxiYqKeeOIJff/99/J6vcWa/9ns2LFDH3zwgYYPH27pfGENBiq1iE3rdf6isyjZAMqlclayy98XtiFDrYJq6frdUbp2xgE1mbVN0m5L5t3LESpJBQOftXUEqa2j8O2uLjJc6vdH4X7FGVXyhWaffWMc5RNnqFhoWbp0WZjUMlR658CfG+PNQ/M3vHf/sf5tz8x/bnGadDBHyjNLtiHuPfvOs1GjRik3N1ft27eXJH3wwQdKTEyU0+nU8OHDNX78eM2ZM0dhYWFyOBwaNGiQ+vXrp7p162rWrFlasmSJRo0apS1btujIkSN65ZVXtGjRIs2ePVthYWFyOks2TgRKR5Y3S8dy0u2OERhsWq8lKcubLblLmP8U8+bN0/r161WjRg1FR0crMTFRcXFx6tKli1588UU999xzCg4Otm6BxTB69OiCTADKr3JVspOzj9gdoUyEOUPUMa+2Om1w6NoJWxWfGDj3Bjezc+yOAB+TlJVqd4TAkZIr1fhjR9m5hk1oGiJNP5q/Af7DEaleBWlyitQ+Qoo5/6+Vc5XsLl26KCEhQfPmzZMkeb1ehYSEaN68eTp06JAmTJigb775RsuXL9f48eM1fvx4Pfroo2rfvr0WLFig9PR0jRkzRp06dZIkrVy5UuPGjdPkyZO1dOlSff311+edF6WvvHxflwmb1mtJyjzLWSo7d+7U4MGDVbFiRXXv3l2ffPKJJOnRRx9VZmamRo4cqXbt2mn//v16++239fbbb2vnzp06evSoWrZsqZSUFDkcDi1cuFAZGRmSpF27dsnr9Wrq1KmaNm2aMjMzNWTIEC1cuFDz58/XRRddJIfDoeeff75QllNL8R133KFx48apXbt2uuWWW7RixQoNHz5cM2fO1Ny5cxUcHKwqVaooJydH69ev14QJEzR//nx9//33OnHihP7xj38UykTRBsqvclWyXSUc2dofrKndSLVTMuXwpkutJbWuJKmS3bEs4wgr3rXcCFwuR+B/jI2v00B1PPk7mAxJhpl/lkrBz5JU8Jgp4+Szpgr/fcr0xslxC/94nWGamtxgryKD3LqmVkX1Cz2uDy6qV/C6JSlJ2nwiXX0uTMh/rKGpKTP2qWrTCpq98JAe611L46bt1mO9LipYXsGyT12+acowDck0/3zeEVmk30NycrLWrFmj//3vf+rTp48yMjJkGH/8HgzjtOkNw5BpmqpWrVqhuwmMHTtWkhQUFHTaa+Abgp0V7I5Q6v5VvbZujcj/d6H12TD057iixp/rzh+P//mICl516usLnjMlGYamJu5SZKhHVzWsoiciTuidhk0Kpl96/LC25BzTPxvUyp9LS+nb6btU5bIQ/TR/vx58tJ4mTt6hB/vUK7xsU2dIoYLnTqaKLzw+aoH//Oc/evHFF1WnTh316tVL//3vfyVJDzzwgO677z61bdtWgwYNUs+ePSVJCxYs0OTJkzV+/HgdPvzn/dPbtWtXUJAnTpwoSRozZoy++eYb7dy5U++//74aN26szp07q0ePHgXz+zvh4eF68sknNW3aNM2fP1+S1KlTJ915553q2LGj5syZo9dee00bNmzQe++9p5YtWyoqKkrLli0rlAlA+RX4W6enqOAM/A2quOAkOeLP/zprf2HE1LQ7AnxMlDvc7gilrmOFPQrN3mjtTI2//C2p97WmnngjV8sWSbd0cOi5oT/of6+6tWRNnsaM8yo1zVTtSpvV/RqnUo+Z2rXbq/u6ubR2fa4++b+d6na1Q5Eh5z+isOG5sEjTRUVFKSMjQ8OHD9eWLVskSbfddpseeughBQUFKSYmRj169FD//v01Z84cmaap8PBwXXrpperXr59M09S9996rW265RS+++KKyGOPBZ0W4ij92h7+4MdyhBrlzSn05912Vv17/Ol+69QqHXnpuasF6/dUX+et1/dgNBev1/m1ePdzZpd9W5OrLzxLV7WqHquRtKfoCT/lMCXK/dcZJTNOUw+Eo+PfJnWSmmd/KQ0NDC/3s8eSftv7XHWMn53HGGH/sZDvT/E4VFBSk3Nz88WOOHz9eaHq3213wORERkb9HJD4+viBTVlaW8vLyNHjwYLlc+ZvUY8aMOWsmAOVHuSrZ5WHP+JqcaF1ld4jSZJSr/2VRBJHloGS7zcwyWU5osKFPhv55AWXPG/LP/rm8qUMT3y28MRsdYWho3/z18Zn7S7henmO97tChgzp06KC+fftKksaNGydJGjhwoCQpJSVFa9eu1b59+9S3b1/Fxsaqfv36Onr0qO644w5J0qBBgwrNs0WLFiXLi1LndDgV6grR8dwMu6OUmnBHrmTtWH5nZNt6LZ113X700Uc1ZMgQValSRX379tXDDz9c8Hj2GcZeadu2rV5//XUlJiaqWbNmBY83bdpUw4YNKyjJknTXXXfpoYceUkZGhl544QX98ssv54zYvn17DRo0SNu3b9eRI0fO+y32799f999/v2JiYtSqVatCmW6++ebznh+AwGCYZ9qtF6Be2fCBXlz/rt0xStWjVS7UiIgFdscoNc6KT8pd9TW7Y8CHbEnbrnrTr7M7Rqk63jBLDu8hu2OUGiO4qYLqLbU7BnxMtW/bad+JwL1tY2KTC1Q1e7HdMUpVUJODMpxFuxwEAAJJuTosGOOJsjtCqRt7eI9GRHokMzBH4TZccXZHgI+JckfYHaHUGeZxuyOUKsNV2e4I8EERrlDtsztEKQpWgF+u4AjxyYI9Y8YMLVmypODnZ599VhUqBP6ZjgDKVrkq2fFBMXZHKHVHc3OU7q6nsOx1dkcpFYYr3u4I8DGBfk2223DIyAvwku2uYncE+KBAvxQkyDxhd4RS5as7zzp37qzOnTvbHQNAgDvXzRwCTsUKsXZHKBO/eSvaHaH0ULLxFx6nJ6DHW6gWVA5G1Kdk4wwiPYFdst0K3OvNJbFeAyjXylfJLgdHsiVpZlqe3RFKjeEKnNuRwTqBfMp4VXfg3xXBcFe1OwJ8UCCv15LkzEuzO0KpYr0GUJ6Vq5JdO6ymPA7330/o5744tF+F75YZKAwZQXXtDgEfVCusht0RSk1lT+AepT+JjXGcScOI2nZHKFUOSjYABKxyVbI9To8ujqxvd4xStyvruLLcgbdxYnhqynCG2h0DPujSmIvtjlBqKroDf8cgO89wJq1iGtsdodTEuYIkM8fuGKXKCAq87RAAKKpyVbIl6ZKYJnZHKBO/mxfYHcFyRoWGdkeAj7okNnDX63h3gI9P6YhkYxxndEkA7zyrXiHwx1pwhLSyOwIA2KbclexA3jN+qvkZgfeflpKNswnkI9mxrsBbl0/lCGkuwwjEy1tQUhUrxKp6SGAOnlUt0C8DMYJkBJeP7S0AOJPA3no7g0DeM36qsYeT7I5gOUdIc7sjwEddFFZDsZ5ou2OUihhnYH9MGxztwjm0ig7MolbF7bE7QqkygpvKMAL/UhcAOJvA3no7g4YRtRXiDLY7RqlbkZ6iXFcgnTJuyBF2pd0h4MMC9VKQKKfdCUqXI6Sl3RHgwwJ1x3hlT2AXUNZrAOVduSvZTodTLaIb2R2jTOw1EuyOYBmjQiMZ3CMb5xCoJTvCYdodoVRx3SbOJVAv8aroCuy9Z6zXAMq7cleypcC+fvNUi08EzhF7R1gHuyPAx10aG5jrdZjDa3eEUmNUaCzDU93uGPBhrWKayAjAW1LGugLvPf3JIUf4tXaHAABblcuSfVO1q+2OUCa+Tj1idwTLOMKvsjsCfNyV8ZcoyBF41zmGGrl2Ryg1jsiudkeAj4v2RKpNXAu7Y1gu2hm4Z6gYoa1luCvaHQMAbFUuS/aV8ZeqRkhVu2OUuukpB2Q6Y+yOUXKOcDnCO9qdAj4uwh2u66u0tzuG5UKMbLsjlBpnZDe7I8AP3F79ersjWC7SkWd3hFLDeg0A5bRkG4ahXjVvsjtGmTjkrHte038716tHX87RXc/kaPbiPL30Qa6adMtWekbhve6HUkz1fTVH9zyXo1dG5R9pe/H9XD07Mlfb95javsfUyC+sOQLniOwqwxHgtzuBJXrUuMHuCJYLUpbdEUqHu4YcIc3sTgE/cGv1zgF3ynh4AF8G4ogsH9tXAHAu5bJkS9I/E8rHntaV2RHnNf1NVzn14Ytuvf+8SxN/9GpoX5cub3r6xk3FGEMfDHbri9fd2rozv4CbpnR7Z4dWbsrTf77yqu+d1gzs4ozuYcl8EPi6Vr064O4e4DEz7Y5QKpxsiKOIqgZXUrv4wBqtOjRAz1AxgpvKEZRgdwwAsF25LdkNImqrZYDef/NUU1PTi/W6Nz716qEe5y7Ji1blqefAHF1cL7+E165h6Ief85R6VGrV2NA7Y7z6fn4J99Y74zhVHEUW6grRPy7oZHcMS7nNDLsjlApn9O12R4Af6Z1wi90RLBUcoGeoOKNuszsCAPiEcluypfJxNHtC0n6ZRkiRpzdNU8+/m6tObR1q3uDc/3u0be7QV8PdWrzalNdr6p6bnXq0p1O7D5jae9DU/bc6tXh1yQZ3ccb0lGG4SjQPlC8P1Aqs8uYwj9sdwXJGcHM5Qi+1Owb8SI8aNyrcFWp3DMsE6YTdEaxnBMkZe4/dKQDAJ5Tr9tKzRlcNXP2mcs3AHb33RF6ujrrrKSp7VZGm//Arr+YuzdOxNFOJu01lZJpautbU02/l6oVHXFq8Jk9BbimhmqH/fuNVXp7UvIEhpzP/aPbbX3j1+N1Obfrd1L//61VsZEnSO+SMe7QkM0A5dEX8JaoffpF+S/vd7iiWcOSlFet13871asbPeTp2XOp9s1ND/pOr5vUN1ahi6On7/vzo35SYp1c/zl9XO1zqULerHRo0Iv8MlBcfcWpjYv4YC3d2se6+vs64ByybF8qHUFeIetS4UZ/9PsHuKJZw5xVv59lf1+vMLFOzl+TJ7TL0Sj+nKgTlfxebpql+w3LlcuZ/Xz9+t0svvp+r7Bzpodvz1+XJc7x68h7rNgMdUd1luOItmx8A+DPDNM3AvY9EEXT7+WF9u2+O3TFK1ez69dTWnG13jPPmiLxZngvH2R0DfujtzZ/rydWv2R2jxMKdbh2qXbKdBanHTD03Mlfb95pKqGboihYO3XXTn4X5nTG5atXYoXYtHLp1QI4+fMmlcdO9ql7ZUKU4Q9/MzNOIQRbuj3XGKajRVhmOwLp2HqXv15T1ajWru90xLJHRMF2GN7XYr089ZuqZEbnaf9hUk7oORYRKzz7w53q6cGWe1m429WhPp+4dnKOPXnLplVFedb/Goe17TS1ebeq1x53yuK0bUM5T9xc5QgLvdmsAUBzl+nRxSRrauH/AjVr6Vz+k5dgdoVhc8f3tjgA/9VCtO1Slgv/fp7Wap+Sj6p8cX+GHj936eIhbMxblKeXon/tW7+zi1MQfvXru7VwlHzVVMSb/83DLDlNL1uTpipaG3vpvrhautOaWQ864BynYKJaWMY11c7Vr7Y5hCcNbvDNUTnrjU6/6dHcq7bj02uMuRUUYmrfsz3V070FTF1TO/3d8tKHkI6U0bsofjNArKNgAcIpyX7KbRTdUzxpd7I5RqsYc2id/uzLACLlcjrA2dseAnwpxBWtI4352xyixKp7il9G/jq/gcOSX5+hwKfOUMZcqxhh65zm3Xu3vVFxU/jT973Lp1uucchjSrxtMDbzXqRk/W1CyHWFyxT9S8vmg3Hr94qfkNKy7dMEOFd0VJBXvMrVT1+uWjQxVic9fZ6MipLTjf+48q1bJ0N6D+f9OSjUVG6VSGTflJFelpyyZDwAECv9qXqXk1SZPaOKeGcrO888jvn/ncE6mMtx1FJKzye4oReau+ordEeDn7rvwNr29+XO/vja7ssdT7NeeOr7Crxvy9Nt2UxWCpOgIQ1UrGnr3y1y1v8Sh6AhD//5vro6fkB6/58/y8uE4r15/wqlv5+bp5Q+9qlm15Gf8uCo+yTWbKJH6EbXU58J/+PW12dWDir/zrPC4KQ61a2HoqX/nKj3D1Hv/cumbWV4FuaUb2zs04Qevnvq3qSZ1jYLTwq0dNyWfI6yDnBGdSz4jAAgg5f6a7JP6r3xZ72/90u4YpWZJw7pq6vWPa88dETfKc9E3dsdAAJiyZ5a6L/LfwfMGVL1Ib4TPtzuGNdzVFNRgnQxH0e92AJzJ3owDqjP9Wp3w+uc95G+KqaLx8cvsjmERhzx1F8sR0tTuIADgU8r96eInvdDwsYC6PchfzUn3l30pTrmqDrM7BALEzRdcqzax/nudYJzLv0+LPZWr8ksUbFiiWkhl9a9zt90xiq2KJ8juCJZxxvSiYAPAGVCy/xBfIVYD699nd4xSM+bwQbsjFIkzto8cFerbHQMB5K1mz9gdodhiA6RkG8FN5Yy5y+4YCCDPNnhI0R4LznW2QSV3gFyp5wiVq8pQu1MAgE+iZJ/iqXr3qXKFwLxecPOJY8pxX2h3jHNzV5Wryqt2p0CAaRPXwm9HJI4OiI5tyF3tLRkGXzewTpQnQs838M9B9OIDZOeZq+JTMtxV7Y4BAD6JrZ5ThLpC9EmrwB1wa4dq2B3hnNwXfCDDFWV3DASg91q8oFhPtN0xzltkAGyLO+P7yRF2pd0xEIAer9tbV8ZfYneM8xbr8v9NLyOklZyVBtkdAwB8lv9/0lusa7WOeqjWHXbHKBULM4o/UnFpc0TfKWfkDXbHQICqHlJFX1z2pgyVfITsshThsObe1HYxKjSSq0rg7riEvZwOp/7v8pGKC/KvHWgxTv9er+UIlbvmaBlGgJz2DgClgJJ9BiOb/Uv1wi+yO4blxiUl2x3hzNxV5a42wu4UCHA3Vr1KT9W71+4Y5yXM8NodofgMT/6GuCNwBnmC76kWUllfXPpvv9qBFunnO89cVd+QI6i23TEAwKdRss8gxBWsca3fVrCzgt1RLLXg2GHluSrZHeMvXPLU/FKGy7+ORMA/vX7xQLWObW53jCILMXLsjlBsripD5AhuYncMlAM3VO2gJ/1oB1qYI9fuCMXmiLhRrrgH7I4BAD6Pkn0WzaIbalTLwBs1c5/Dt/Y+u6oOkyOsrd0xUE64HC6Na/2OYjxRdkcpkmAj2+4IxeKI6CJn/ON2x0A58vrFT+myGP+4lVSon67Xhqem3DU+sjsGAPgFSvY53HPhLQF3ffbyTN+5T60j+k65Kg4o8XyGDBmi9evXn9drbr311iJNN2/ePH3wwQfFiQUfVSO0qkZf+obdMYokSJl2RzhvRnALuWt+wWjiKFNuh1vj2ryjKHeE3VH+VrCy7I5w/pzRcl/0rQxXYN6BBQCsxqgVf+O95i/ot2O/a/7hZXZHscQ3qWnqHmt3CskIbS139Q/P+Nzo0aMVFxenLl266I477tCePXt0yy23aMWKFRo+fLhycnI0ePBgVaxYUd27d5ckffLJJ0pLS9OVV16pPn36aNiwYUpKSlJaWprefvttTZ48WYsWLVJwcLCGDx8uSUpKStKgQYP06quv6vPPPy80/WeffaadO3fq6NGjatmyZZn9XlA2ulbrqOcaPKzXN/n2URmP6Wcl211dnosmyXCG2p0E5VBC6AUae/kI3bzoUeXk+e6lFkHmCbsjnB/DI3fCODkq1LM7CQD4DUr23/A4Pfr+yk91w4L7teDwcrvjlNiU5H0y4yNk5B2zLYMR3Eyei6bIcBTtmvfw8HA9+eSTmjZtmubPn69Vq1bpxRdfVJ06dSRJs2fPVo8ePdS2bVv16NFDl19+uRYsWKDWrVsrMzNTmzZt0uTJkzV58uSCeSYnJ+vJJ5/Uu+++qwMHDpw2/YIFCzR58mSNHz9ehw8fLpXfA+z12sVPKdObpbe3fG53lLNymRl2Ryg6R0T+eu2ubHcSlGM3VO2gr9u8p9t+6e+zRdttHrc7wnlxV/9IzvD2dscAAL9CyS6CUFeIpl/5WUAUba9pKtlVT3HZ9rwPI6iuPLWmyXBGnnWaoKAg5ebmDwxz/PhxhYbmHxVzu93KysqSaZpyOAqfihoZmT8/wzCUl5enRo0aaciQIWddRlhYmBwOhw4ePHjG6T0eT0EWBK6Rzf8lQ4ZGbvmf3VHOyJGXbneEojGC5L7wKzmCG9mdBFC3atdoQut3dfviAT5ZtJ2mn6zXklyVh8gZc6fdMQDA73DRXBGdLNpXxl9id5QSW5Nj00je7ury1Pr+b6/pat++vSZOnKi3335bR44cOe35Rx99VC+//LKeffZZ/fLLL6c936hRIzkcDj355JN65JFHtHv3bt1000167LHHNGjQIOXm5iooKEgfffSRXnvtNTmdztOmb9u2rV5//XV99913Vr17+KgRzZ/TU/XuszvGGRn+ULKNYLkvnChneEe7kwAFbr7gWo1r/bZcPngvZ8Nr35lk58NV+UW5Kj9rdwwA8EuGaZqm3SH8yfHcDL8/ov1Q5QS9E/lzmS7TqNBAnoumyfBcUKbLBYrq6dVvaPjm/9odo0BFdwXtvGir3THOzREm94Vfyxl+ld1JgDP6ZvcM3bH4CeWavnHbrEruCtrh6+u1JFfV1+Sq+KTdMQDAb3Ek+zwFwhHt/zu8VzLK7jRoI7S1PLV/omDDp73V7Fk9Xf9+u2MUqBoUbHeEc3PGyVN7BgUbPu0f1Tvrq9YjfeaIdnVfX6/llKv6KAo2AJQQJbsYThbt26pfb3eUYknz5ijNXTajhDoiushTa7oMl02nqAPn4d9Nn9ErjR+XwwduP1XF7bE7wlkZQbXlqfOTHCGtLJkft+FDabq1+vX69oqPfOL2XtV8uWQ7wuS+cLxcsX0smR3rNYDyzDd27fqhUFeIJrR5T6O2jdUTq15TVl623ZHOy6bcirq0VJdgyFnpGbkqvyDDcJbqkgArDW70mFrGNFavJU8pNfuobTkquX1z0D1HZHe5a3wsw3n2wsJt+OBrrq/SXiuum6TuCx/TuqObbcvhqzvPjAoN5U746py36WK9BoCio2SX0CO1e6l1bHPd/ssAbU3fYXecIpuZ7tWlIaU0c2ec3DX/J2fEdaW0AKB0XV+lvX69drJu/aWfVqZusCVDvNvXPp5df1yn2f+8X8lt+OALaoXV1JJrvtYDy5/X/+2aZkuGSj63XkuO6Dvlrv6BDMf5bRSwXgPA2fnep70fahbdUCuvm6KHVrxg2xf3+fri4D4NvtAhKc/S+Rohl8uT8P+4/hp+78Kw6vql43g9v+5tjdz8P5kq2zEi41w+9PHsriZPzS/lCGtTpMm5DR98VYgrWGNbj1Snyleo78qhSsst23tWx7t86MwuI0iuaiPkiivaWBSs1wBQdPZfeBggwtyhGtt6pD5tNUzBzgp2x/lbe7IzlOmubd0MHaFyVf23PHXmULARMIKcQRre7FnN7vCFLgiuXKbLjnH5wsezIWdMHwXVW17kgi1xGz74vrsv7K7Vnb7V5bHNynS5sS6jTJd3NkZoG3nq/lLkgi2xXgPA+eAWXqVg87Hf9czatzR172y7o5zTika11Sh3bonn4wjvJHf192R4alqQCvBNqdlHNWT9e/oo8Stl5+WU+vIm1m2gG42Zpb6cszEqNJa7+vtyhLa2LQNQ2rx5Xn3y+zgN3fCBDmYmlfryZtSvp/amjdsGzji5qg6TM+ZuGYZvFH4ACES+cKgk4NSLuEhT2o3SwqvHqU1sC7vjnNX84yU7bc3wXCh3zS/lqTWVgo2AF+2J1LstXtBv1/+ou2p2K/URyCMd1l7KUWSOELmqviZPvSUUbAQ8p8OpR2r30rYbZmtIo/4Kc4WW6vIinXYd1/jjrJQGa+WKvYeCDQCljCPZZWDq3tl6bu1wbTqWaHeUQpqFRWtxtbXn/0JXFbkqPydnbB8Zhtv6YIAfWJO6Sc+tG6Ef9s8vlfkvaVhXTb1zSmXeZ+QIkTP2frkqPiHDXaXslgv4kIOZSXp5wwf6JHG8cs1cy+e/vvGFqpWzwPL5np0hR+RNclV6Ro4Q393pDwCBhpJdRrx5Xn2+/RsN2fCe9p44aHecAmmNTLly9xRtYnc1ueIfkzPuERkOH77XJ1CG5h9aqmfWvKWlKWssne+6xheqdllsjDsi5Ix7SK6K/WW44kt/eYAf2Jq2Q8+vG6mvd/9g6Xy3N6mmytlLLJ3nmTnliL5NroqD5AhuWAbLAwCcipJdxjK9WZqwa7o+2z5BPx9eYXccbWqcoIScn885jRHaVq74R+WI7CbD8KERjwEfMufgLxqzY4om7ZmpdAtGLE5scoGqZi+2INlZuC+QK/be/J1mrujSWw7gxzYf+11jdkzR/9s5Vbsy9pV4fgeaxCkye5UFyc7CES5ndA85Kz4hR1Ct0lsOAOCcKNk22nzsd/13+9cat+t77c7Yb0uG/9aqrztds05/wl1Nzsib5YztLUdwk7IPBvipjNwTmrJ3lr7cMVWzDi6S1/QWaz77msQrOnulteEcIXJE3ChnzN1yhHeUUcrXlQOBwjRNzT20RGN2TNY3JdiRltI4RME5my1O55Aj7Ao5Y+6SI/IWGc7Sva4cAPD3KNk+wDRNLUlerQm7p+ubPT+WaeHuFF1ZUyoulyQZnppyRN4sZ1R3GSGXMTAKUEIHM5P01c5p+n87v9WvqevP67VJTSIUmr2h5CFcleUIu1LOyBvliOjCBjhQQsdzMzRpz0x9uWOKFhxerqy87CK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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = dataset.get_qc_stats(obstype=target,\n", " make_plot=True)" ] }, { "cell_type": "markdown", "id": "728e7867", "metadata": {}, "source": [ "If you need to inspect the quality control performance for each observational record, including details for each check, you can use the ``Dataset.qc_overview_df`` method. It creates a dataframe for all records, including the \"ok\" records, and the columns indicate the label and details of all performed checks.\n", "\n", "The difference compared to the ``Dataset.outliersdf`` dataframe is that the latter only presents the final label, while the former shows the details and flags of all individual checks." ] }, { "cell_type": "code", "execution_count": 10, "id": "a2c206f7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "('datetime', 'obstype', 'name')", "rawType": "object", "type": "unknown" }, { "name": "('value', '')", "rawType": "float32", "type": "float" }, { "name": "('label', 'buddy_check')", "rawType": "object", "type": "string" }, { "name": "('label', 'duplicated_timestamp')", "rawType": "object", "type": "string" }, { "name": "('label', 'gross_value')", 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2:[Insufficient buddy sample size (n=1, required=5) in spatial buddy group centered on vlinder19 --> NA --> NA] \n", "no details", "no details", "no details", "", "no details", "no details", null ], [ "(Timestamp('2022-09-01 00:10:00+0000', tz='UTC'), 'temp', 'vlinder20')", "19.3", "condition_unmet", "passed", "passed", "passed", "passed", "passed", "passed", null, "iteration 0:[Insufficient buddy sample size (n=1, required=5) in spatial buddy group centered on vlinder20 --> NA --> NA] \niteration 1:[Insufficient buddy sample size (n=1, required=5) in spatial buddy group centered on vlinder20 --> NA --> NA] \niteration 2:[Insufficient buddy sample size (n=1, required=5) in spatial buddy group centered on vlinder20 --> NA --> NA] \n", "no details", "no details", "no details", "", "no details", "no details", null ], [ "(Timestamp('2022-09-01 00:10:00+0000', tz='UTC'), 'temp', 'vlinder21')", "19.2", "condition_unmet", "passed", "passed", "passed", "passed", "passed", "passed", null, "iteration 0:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder21 --> NA --> NA] \niteration 1:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder21 --> NA --> NA] \niteration 2:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder21 --> NA --> NA] \n", "no details", "no details", "no details", "", "no details", "no details", null ], [ "(Timestamp('2022-09-01 00:10:00+0000', tz='UTC'), 'temp', 'vlinder22')", "18.7", "condition_unmet", "passed", "passed", "passed", "passed", "passed", "passed", null, "iteration 0:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder22 --> NA --> NA] \niteration 1:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder22 --> NA --> NA] \niteration 2:[Insufficient buddy sample size (n=0, required=5) in spatial buddy group centered on vlinder22 --> NA --> NA] 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valuelabeldetails
checknamebuddy_checkduplicated_timestampgross_valuepersistencerepetitionsstepwindow_variationNaNbuddy_checkduplicated_timestampgross_valuepersistencerepetitionsstepwindow_variationNaN
datetimeobstypename
2022-09-01 00:00:00+00:00tempvlinder0118.799999condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder0219.400000condition_unmetpassedpassedpassedpassedpassedpassedNot appliediteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNot applied
vlinder0317.000000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder0415.900000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder0521.100000uncheckedpassedpassedflaggeduncheckeduncheckeduncheckedNaNiteration 0:[NA --> NA --> NA] \\niteration 1:...no detailsno detailsconstant values in timewindow of 0 days 01:00:00no detailsno detailsNaN
............................................................
2022-09-15 23:50:00+00:00tempvlinder2411.300000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder2514.200000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder2613.400000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder2714.400000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
vlinder2813.200000condition_unmetpassedpassedpassedpassedpassedpassedNaNiteration 0:[Insufficient buddy sample size (n...no detailsno detailsno detailsno detailsno detailsNaN
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60480 rows × 17 columns

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" ], "text/plain": [ " value label \\\n", "checkname buddy_check \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 18.799999 condition_unmet \n", " vlinder02 19.400000 condition_unmet \n", " vlinder03 17.000000 condition_unmet \n", " vlinder04 15.900000 condition_unmet \n", " vlinder05 21.100000 unchecked \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 11.300000 condition_unmet \n", " vlinder25 14.200000 condition_unmet \n", " vlinder26 13.400000 condition_unmet \n", " vlinder27 14.400000 condition_unmet \n", " vlinder28 13.200000 condition_unmet \n", "\n", " \\\n", "checkname duplicated_timestamp gross_value \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 passed passed \n", " vlinder02 passed passed \n", " vlinder03 passed passed \n", " vlinder04 passed passed \n", " vlinder05 passed passed \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 passed passed \n", " vlinder25 passed passed \n", " vlinder26 passed passed \n", " vlinder27 passed passed \n", " vlinder28 passed passed \n", "\n", " \\\n", "checkname persistence repetitions \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 passed passed \n", " vlinder02 passed passed \n", " vlinder03 passed passed \n", " vlinder04 passed passed \n", " vlinder05 flagged unchecked \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 passed passed \n", " vlinder25 passed passed \n", " vlinder26 passed passed \n", " vlinder27 passed passed \n", " vlinder28 passed passed \n", "\n", " \\\n", "checkname step window_variation \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 passed passed \n", " vlinder02 passed passed \n", " vlinder03 passed passed \n", " vlinder04 passed passed \n", " vlinder05 unchecked unchecked \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 passed passed \n", " vlinder25 passed passed \n", " vlinder26 passed passed \n", " vlinder27 passed passed \n", " vlinder28 passed passed \n", "\n", " \\\n", "checkname NaN \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 NaN \n", " vlinder02 Not applied \n", " vlinder03 NaN \n", " vlinder04 NaN \n", " vlinder05 NaN \n", "... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 NaN \n", " vlinder25 NaN \n", " vlinder26 NaN \n", " vlinder27 NaN \n", " vlinder28 NaN \n", "\n", " details \\\n", "checkname buddy_check \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder02 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder03 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder04 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder05 iteration 0:[NA --> NA --> NA] \\niteration 1:... \n", "... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder25 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder26 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder27 iteration 0:[Insufficient buddy sample size (n... \n", " vlinder28 iteration 0:[Insufficient buddy sample size (n... \n", "\n", " \\\n", "checkname duplicated_timestamp gross_value \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 no details no details \n", " vlinder02 no details no details \n", " vlinder03 no details no details \n", " vlinder04 no details no details \n", " vlinder05 no details no details \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 no details no details \n", " vlinder25 no details no details \n", " vlinder26 no details no details \n", " vlinder27 no details no details \n", " vlinder28 no details no details \n", "\n", " \\\n", "checkname persistence \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 no details \n", " vlinder02 no details \n", " vlinder03 no details \n", " vlinder04 no details \n", " vlinder05 constant values in timewindow of 0 days 01:00:00 \n", "... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 no details \n", " vlinder25 no details \n", " vlinder26 no details \n", " vlinder27 no details \n", " vlinder28 no details \n", "\n", " \\\n", "checkname repetitions step \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 no details \n", " vlinder02 no details \n", " vlinder03 no details \n", " vlinder04 no details \n", " vlinder05 no details \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 no details \n", " vlinder25 no details \n", " vlinder26 no details \n", " vlinder27 no details \n", " vlinder28 no details \n", "\n", " \n", "checkname window_variation NaN \n", "datetime obstype name \n", "2022-09-01 00:00:00+00:00 temp vlinder01 no details NaN \n", " vlinder02 no details Not applied \n", " vlinder03 no details NaN \n", " vlinder04 no details NaN \n", " vlinder05 no details NaN \n", "... ... ... \n", "2022-09-15 23:50:00+00:00 temp vlinder24 no details NaN \n", " vlinder25 no details NaN \n", " vlinder26 no details NaN \n", " vlinder27 no details NaN \n", " vlinder28 no details NaN \n", "\n", "[60480 rows x 17 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.qc_overview_df(subset_obstypes=['temp'])" ] }, { "cell_type": "markdown", "id": "fbdad0f2", "metadata": {}, "source": [ "## Advanced: Protecting Specific Records with WhiteSet\n", "\n", "In some cases, you may know that certain observations are valid despite appearing anomalous (e.g., verified extreme weather events, station-specific conditions). The `WhiteSet` class allows you to protect such records from being flagged as outliers while still including them in all QC calculations.\n", "\n", "All quality control checks accept a `whiteset` parameter.\n", "\n", "**Example:**" ] }, { "cell_type": "code", "execution_count": 11, "id": "fc615b7c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING::Luchtdruk is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Neerslagintensiteit is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Neerslagsom is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Rukwind is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Luchtdruk_Zeeniveau is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::Globe Temperatuur is present in the datafile, but not found in the template! This column will be ignored.\n", "WARNING::The following columns are present in the data file, but not in the template! They are skipped!\n", " ['Luchtdruk_Zeeniveau', 'Luchtdruk', 'Globe Temperatuur', 'Neerslagintensiteit', 'Rukwind', 'Neerslagsom']\n", "WARNING::The following columns are found in the metadata, but not in the template and are therefore ignored: \n", "['Network', 'benaming', 'sponsor', 'stad']\n", "WARNING::The present gaps are removed, new gaps are constructed for wind_direction data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for wind_speed data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for humidity data of station vlinder02..\n", "WARNING::The present gaps are removed, new gaps are constructed for temp data of station vlinder02..\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n", "/home/thoverga/Documents/VLINDER_github/MetObs_toolkit/src/metobs_toolkit/sensordata.py:524: FutureWarning: The behavior of array concatenation with empty entries is deprecated. In a future version, this will no longer exclude empty items when determining the result dtype. To retain the old behavior, exclude the empty entries before the concat operation.\n", " self.outliers_values_bin = pd.concat([self.outliers_values_bin,\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "dataset = metobs_toolkit.Dataset()\n", "dataset.import_data_from_file(\n", " template_file=metobs_toolkit.demo_template,\n", " input_data_file=metobs_toolkit.demo_datafile,\n", " input_metadata_file=metobs_toolkit.demo_metadatafile,\n", ")\n", "dataset.resample(target_freq='1h')\n", "\n", "# Create a WhiteSet to protect specific timestamps\n", "protected_times = pd.date_range(start='2022-09-03 12:00',\n", " end='2022-09-05 16:00', freq='1h', tz='UTC')\n", "whiteset = metobs_toolkit.WhiteSet(pd.Index(protected_times, name='datetime'))\n", "\n", "# Apply QC with whitelisting\n", "dataset.gross_value_check(\n", " obstype='temp',\n", " lower_threshold=0.0,\n", " upper_threshold=20.3,\n", " whiteset=whiteset # Protected records won't be flagged\n", ")\n", "dataset.make_plot(obstype='temp',\n", " colorby='label')" ] }, { "cell_type": "markdown", "id": "14cb6d63", "metadata": {}, "source": [ "**For detailed information and examples**, see the page on [Using WhiteSet for Quality Control](../topics/using_whitesets.ipynb) in the topics section." ] }, { "cell_type": "markdown", "id": "18", "metadata": {}, "source": [ "## Important notes on QC\n", "\n", "1. The settings used in this demo are illustrative.\n", "2. The settings to use depend on:\n", " * The climate and season for the gross value check\n", " * The time frequency of your observations, so resampling before the QC pipeline is recommended\n", " * The observation type" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 5 }