From 541554754bf253a8857fb3273bc093e61aae0e6f Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 20 Oct 2024 20:08:26 -0700
Subject: [PATCH 01/15] Update coverage

---
 coverage.xml | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/coverage.xml b/coverage.xml
index f7f3de8..1ae6ff6 100644
--- a/coverage.xml
+++ b/coverage.xml
@@ -1,12 +1,12 @@
 <?xml version="1.0" ?>
-<coverage version="7.4.3" timestamp="1717638283749" lines-valid="319" lines-covered="306" line-rate="0.9592" branches-valid="96" branches-covered="82" branch-rate="0.8542" complexity="0">
+<coverage version="7.4.3" timestamp="1729480086814" lines-valid="319" lines-covered="302" line-rate="0.9467" branches-valid="96" branches-covered="82" branch-rate="0.8542" complexity="0">
 	<!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.4.3 -->
 	<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
 	<sources>
-		<source>/home/jvivian/covid19-drDFM/covid19_drdfm</source>
+		<source>/home/jvivian/covid19-drDFM/dfmdash</source>
 	</sources>
 	<packages>
-		<package name="." line-rate="0.9592" branch-rate="0.8542" complexity="0">
+		<package name="." line-rate="0.9467" branch-rate="0.8542" complexity="0">
 			<classes>
 				<class name="cli.py" filename="cli.py" complexity="0" line-rate="0.8857" branch-rate="0.5">
 					<methods/>
@@ -114,7 +114,7 @@
 						<line number="139" hits="1"/>
 					</lines>
 				</class>
-				<class name="dfm.py" filename="dfm.py" complexity="0" line-rate="0.9577" branch-rate="0.9">
+				<class name="dfm.py" filename="dfm.py" complexity="0" line-rate="0.9014" branch-rate="0.9">
 					<methods/>
 					<lines>
 						<line number="3" hits="1"/>
@@ -158,10 +158,10 @@
 						<line number="97" hits="1"/>
 						<line number="98" hits="1"/>
 						<line number="99" hits="1"/>
-						<line number="100" hits="1"/>
-						<line number="101" hits="1"/>
-						<line number="102" hits="1"/>
-						<line number="103" hits="1"/>
+						<line number="100" hits="0"/>
+						<line number="101" hits="0"/>
+						<line number="102" hits="0"/>
+						<line number="103" hits="0"/>
 						<line number="104" hits="1"/>
 						<line number="105" hits="1"/>
 						<line number="106" hits="1"/>

From 93d7befd6d32cfe91f8e62252c0a916629c19946 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 20 Oct 2024 20:08:52 -0700
Subject: [PATCH 02/15] Update Comparative analysis page

---
 dfmdash/results.py                                   |  2 +-
 .../streamlit/pages/2_Comparative_Run_Analysis.py    | 12 +++++++-----
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/dfmdash/results.py b/dfmdash/results.py
index 6c8aecd..2aa8077 100644
--- a/dfmdash/results.py
+++ b/dfmdash/results.py
@@ -57,7 +57,7 @@ def parse_run_results(directory: Path):
             df = parse_results(path)
 
             # Add the state initials as a column
-            df["State"] = state_initials
+            df["Batch"] = state_initials
 
             # Append the result to all_results
             all_results.append(df)
diff --git a/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py b/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
index 7fab578..82932e4 100644
--- a/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
+++ b/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
@@ -23,20 +23,22 @@ def center_title(text):
 center_title("Comparative Run Analysis")
 
 # Parameter to runs
-run_dir = Path(st.text_input("Path directory of runs", value="./dfmdash/data/example-data"))
+FILE_PATH = Path(__file__).parent
+EXAMPLE_RESULT_DIR = FILE_PATH / "../../data/example-data"
+run_dir = Path(st.text_input("Path directory of runs", value=EXAMPLE_RESULT_DIR))
 df = parse_multiple_runs(run_dir).sort_values("Run")
 
 
 def create_plot(df):
     # Create Streamlit expander for user inputs
     with st.expander("Filter options"):
-        states = st.multiselect("Select States", df["State"].unique(), default=df["State"].unique())
+        states = st.multiselect("Select Batchs", df["Batch"].unique(), default=df["Batch"].unique())
     metric = st.sidebar.selectbox("Select Metric", df.columns[:3])
     nbins = st.sidebar.slider("nbins", min_value=10, max_value=500, value=50)
     log_x = st.sidebar.checkbox("Log X-axis")
 
     # Filter DataFrame based on user inputs
-    df_filtered = df[df["State"].isin(states)]
+    df_filtered = df[df["Batch"].isin(states)]
 
     # Create Plotly figure
     fig = px.histogram(
@@ -45,7 +47,7 @@ def create_plot(df):
         color="Run",
         marginal="box",
         nbins=nbins,
-        hover_data=["State"],
+        hover_data=["Batch"],
         log_x=log_x,
         opacity=0.5,
         barmode="overlay",
@@ -75,7 +77,7 @@ def get_summary(df: pd.DataFrame):
     # Median metrics
     run_name = df.Run.iloc[0]
     col1, col2, col3, col4 = st.columns(4)
-    col1.metric("Number of Failed States", num_failures(run_dir, run_name), delta_failures(run_dir, run_name))
+    col1.metric("Number of Failed Batchs", num_failures(run_dir, run_name), delta_failures(run_dir, run_name))
     col2.metric("Median Log Likelihood", df["Log Likelihood"].median())
     col3.metric("Median AIC", df["AIC"].median())
     col4.metric("Median EM Iterations", df["EM Iterations"].median())

From 66ab0de52be6b36f493ad90bbeb7c4fd0db2f90e Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 20 Oct 2024 20:09:06 -0700
Subject: [PATCH 03/15] Update CLI

---
 dfmdash/cli.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dfmdash/cli.py b/dfmdash/cli.py
index 3bf360a..9a9e635 100644
--- a/dfmdash/cli.py
+++ b/dfmdash/cli.py
@@ -75,7 +75,7 @@ def launch(port: str = 8501):
     Launch Dynamic Factor Dashboard
     """
     current_dir = Path(__file__).resolve().parent
-    dashboard_path = current_dir / "streamlit" / "Dashboard.py"
+    dashboard_path = current_dir / "streamlit" / "Dynamic_Factor_Model.py"
     subprocess.run(["streamlit", "run", dashboard_path, "--server.port", port])
 
 

From 028ac8d5095159856c1ea89ca9732424a5069a74 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 20 Oct 2024 20:16:26 -0700
Subject: [PATCH 04/15] Add citation to README

---
 README.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/README.md b/README.md
index 37166c0..1011f48 100644
--- a/README.md
+++ b/README.md
@@ -70,3 +70,10 @@ make install
 - Documentation with MkDocs
 - Compatibility testing for multiple versions of Python with Tox
 - Containerization with Docker
+
+# Citation
+> If you use this tool in your research, please cite the following paper
+
+```
+Cooke, A., & Vivian, J. (2024). Pandemic Intensity Estimation using Dynamic Factor Modelling. Statistics, Politics and Policy. Manuscript under review.
+```

From 055033a035afe937cc4047ba08e92cb710927dae Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 17:34:08 -0700
Subject: [PATCH 05/15] Figures for paper

---
 reports/figures/figures.ipynb | 1026 +++++++++++++++++++++++++++++++++
 1 file changed, 1026 insertions(+)
 create mode 100644 reports/figures/figures.ipynb

diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
new file mode 100644
index 0000000..7bd8125
--- /dev/null
+++ b/reports/figures/figures.ipynb
@@ -0,0 +1,1026 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from dfmdash.results import parse_run_results\n",
+    "from dfmdash.dfm import ModelRunner\n",
+    "from pathlib import Path\n",
+    "\n",
+    "from datetime import datetime\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "\n",
+    "plt.style.use(\"ggplot\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read in Factors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Factor_Pandemic</th>\n",
+       "      <th>Factor_Consumption</th>\n",
+       "      <th>Factor_GDP</th>\n",
+       "      <th>Factor_Cons3</th>\n",
+       "      <th>Factor_Cons4</th>\n",
+       "      <th>Factor_Cons5</th>\n",
+       "      <th>Factor_Cons2</th>\n",
+       "      <th>Factor_Cases5</th>\n",
+       "      <th>Factor_Cases2</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Factor_Deaths2</th>\n",
+       "      <th>Factor_Cases3</th>\n",
+       "      <th>Factor_Deaths3</th>\n",
+       "      <th>Factor_Cases4</th>\n",
+       "      <th>Factor_Cases1</th>\n",
+       "      <th>Factor_Hosp2</th>\n",
+       "      <th>Factor_Hosp1</th>\n",
+       "      <th>Factor_Deaths4</th>\n",
+       "      <th>Factor_Deaths1</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2/1/2012</td>\n",
+       "      <td>-1.161055</td>\n",
+       "      <td>0.170095</td>\n",
+       "      <td>294888.4089</td>\n",
+       "      <td>22717.46446</td>\n",
+       "      <td>43092.70514</td>\n",
+       "      <td>135937.3315</td>\n",
+       "      <td>65810.18635</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3/1/2012</td>\n",
+       "      <td>-1.171222</td>\n",
+       "      <td>-0.025467</td>\n",
+       "      <td>295976.4376</td>\n",
+       "      <td>22726.87622</td>\n",
+       "      <td>43088.33409</td>\n",
+       "      <td>136033.2130</td>\n",
+       "      <td>65815.23537</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4/1/2012</td>\n",
+       "      <td>-1.171824</td>\n",
+       "      <td>-0.416690</td>\n",
+       "      <td>296195.7022</td>\n",
+       "      <td>22749.68458</td>\n",
+       "      <td>43109.43331</td>\n",
+       "      <td>136209.1536</td>\n",
+       "      <td>65859.15126</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5/1/2012</td>\n",
+       "      <td>-1.171860</td>\n",
+       "      <td>-2.142386</td>\n",
+       "      <td>297136.4557</td>\n",
+       "      <td>22827.90665</td>\n",
+       "      <td>43235.54277</td>\n",
+       "      <td>136716.8652</td>\n",
+       "      <td>66063.49119</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6/1/2012</td>\n",
+       "      <td>-1.171862</td>\n",
+       "      <td>-1.655460</td>\n",
+       "      <td>297893.9661</td>\n",
+       "      <td>22892.06050</td>\n",
+       "      <td>43334.97152</td>\n",
+       "      <td>137140.3855</td>\n",
+       "      <td>66227.08216</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Time  Factor_Pandemic  Factor_Consumption   Factor_GDP  Factor_Cons3  \\\n",
+       "0  2/1/2012        -1.161055            0.170095  294888.4089   22717.46446   \n",
+       "1  3/1/2012        -1.171222           -0.025467  295976.4376   22726.87622   \n",
+       "2  4/1/2012        -1.171824           -0.416690  296195.7022   22749.68458   \n",
+       "3  5/1/2012        -1.171860           -2.142386  297136.4557   22827.90665   \n",
+       "4  6/1/2012        -1.171862           -1.655460  297893.9661   22892.06050   \n",
+       "\n",
+       "   Factor_Cons4  Factor_Cons5  Factor_Cons2  Factor_Cases5  Factor_Cases2  \\\n",
+       "0   43092.70514   135937.3315   65810.18635            0.0            0.0   \n",
+       "1   43088.33409   136033.2130   65815.23537            0.0            0.0   \n",
+       "2   43109.43331   136209.1536   65859.15126            0.0            0.0   \n",
+       "3   43235.54277   136716.8652   66063.49119            0.0            0.0   \n",
+       "4   43334.97152   137140.3855   66227.08216            0.0            0.0   \n",
+       "\n",
+       "   ...  Factor_Deaths2  Factor_Cases3  Factor_Deaths3  Factor_Cases4  \\\n",
+       "0  ...             0.0            0.0             NaN            NaN   \n",
+       "1  ...             0.0            0.0             NaN            NaN   \n",
+       "2  ...             0.0            0.0             NaN            NaN   \n",
+       "3  ...             0.0            0.0             NaN            NaN   \n",
+       "4  ...             0.0            0.0             NaN            NaN   \n",
+       "\n",
+       "   Factor_Cases1  Factor_Hosp2  Factor_Hosp1  Factor_Deaths4  Factor_Deaths1  \\\n",
+       "0            NaN           NaN           NaN             NaN             NaN   \n",
+       "1            NaN           NaN           NaN             NaN             NaN   \n",
+       "2            NaN           NaN           NaN             NaN             NaN   \n",
+       "3            NaN           NaN           NaN             NaN             NaN   \n",
+       "4            NaN           NaN           NaN             NaN             NaN   \n",
+       "\n",
+       "   State  \n",
+       "0     MN  \n",
+       "1     MN  \n",
+       "2     MN  \n",
+       "3     MN  \n",
+       "4     MN  \n",
+       "\n",
+       "[5 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_factors = pd.read_csv('./results/factors.csv')\n",
+    "all_factors.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def normalize(df, batch_col=None):\n",
+    "    time = df.index\n",
+    "    if batch_col:\n",
+    "        batch_column = df[batch_col].copy()\n",
+    "        df = df.drop(columns=[batch_col])\n",
+    "        df = pd.DataFrame(MinMaxScaler().fit_transform(df), columns=df.columns, index=time)\n",
+    "        df[batch_col] = batch_column\n",
+    "    else:\n",
+    "        df = pd.DataFrame(MinMaxScaler().fit_transform(df), columns=df.columns, index=time)\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read in normalized data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>GDP</th>\n",
+       "      <th>Cons3</th>\n",
+       "      <th>Cons4</th>\n",
+       "      <th>Cons5</th>\n",
+       "      <th>Cons2</th>\n",
+       "      <th>Cases5</th>\n",
+       "      <th>Cases2</th>\n",
+       "      <th>Deaths5</th>\n",
+       "      <th>Deaths2</th>\n",
+       "      <th>Cases3</th>\n",
+       "      <th>Deaths3</th>\n",
+       "      <th>Cases4</th>\n",
+       "      <th>Cases1</th>\n",
+       "      <th>Hosp2</th>\n",
+       "      <th>Hosp1</th>\n",
+       "      <th>Deaths4</th>\n",
+       "      <th>Deaths1</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2/1/2012</td>\n",
+       "      <td>0.653034</td>\n",
+       "      <td>0.343526</td>\n",
+       "      <td>0.285676</td>\n",
+       "      <td>0.599939</td>\n",
+       "      <td>0.237297</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3/1/2012</td>\n",
+       "      <td>0.658531</td>\n",
+       "      <td>0.364740</td>\n",
+       "      <td>0.309120</td>\n",
+       "      <td>0.616711</td>\n",
+       "      <td>0.266172</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4/1/2012</td>\n",
+       "      <td>0.603592</td>\n",
+       "      <td>0.403734</td>\n",
+       "      <td>0.352081</td>\n",
+       "      <td>0.647603</td>\n",
+       "      <td>0.319136</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5/1/2012</td>\n",
+       "      <td>0.648975</td>\n",
+       "      <td>0.564603</td>\n",
+       "      <td>0.528832</td>\n",
+       "      <td>0.775285</td>\n",
+       "      <td>0.537231</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6/1/2012</td>\n",
+       "      <td>0.637306</td>\n",
+       "      <td>0.523144</td>\n",
+       "      <td>0.483472</td>\n",
+       "      <td>0.742286</td>\n",
+       "      <td>0.481186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Time       GDP     Cons3     Cons4     Cons5     Cons2  Cases5  Cases2  \\\n",
+       "0  2/1/2012  0.653034  0.343526  0.285676  0.599939  0.237297     0.0     0.0   \n",
+       "1  3/1/2012  0.658531  0.364740  0.309120  0.616711  0.266172     0.0     0.0   \n",
+       "2  4/1/2012  0.603592  0.403734  0.352081  0.647603  0.319136     0.0     0.0   \n",
+       "3  5/1/2012  0.648975  0.564603  0.528832  0.775285  0.537231     0.0     0.0   \n",
+       "4  6/1/2012  0.637306  0.523144  0.483472  0.742286  0.481186     0.0     0.0   \n",
+       "\n",
+       "   Deaths5  Deaths2  Cases3  Deaths3  Cases4  Cases1  Hosp2  Hosp1  Deaths4  \\\n",
+       "0      0.0      0.0     0.0      0.0     0.0     0.0    0.0    0.0      0.0   \n",
+       "1      0.0      0.0     0.0      0.0     0.0     0.0    0.0    0.0      0.0   \n",
+       "2      0.0      0.0     0.0      0.0     0.0     0.0    0.0    0.0      0.0   \n",
+       "3      0.0      0.0     0.0      0.0     0.0     0.0    0.0    0.0      0.0   \n",
+       "4      0.0      0.0     0.0      0.0     0.0     0.0    0.0    0.0      0.0   \n",
+       "\n",
+       "   Deaths1 State  \n",
+       "0      0.0    MN  \n",
+       "1      0.0    MN  \n",
+       "2      0.0    MN  \n",
+       "3      0.0    MN  \n",
+       "4      0.0    MN  "
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfs = []\n",
+    "for subdir in Path('./results').iterdir():\n",
+    "    if subdir.is_dir():\n",
+    "        raw = pd.read_csv(subdir / 'df.csv')\n",
+    "        raw['State'] = subdir.name\n",
+    "        dfs.append(raw)\n",
+    "\n",
+    "norm = pd.concat(dfs)\n",
+    "norm.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Figure 1 - Pandemic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Metric</th>\n",
+       "      <th>Normalized Value</th>\n",
+       "      <th>Label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>245</th>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Cases1</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>246</th>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Cases1</td>\n",
+       "      <td>0.033052</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>247</th>\n",
+       "      <td>2020-04-01</td>\n",
+       "      <td>Cases1</td>\n",
+       "      <td>0.138976</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>248</th>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Cases1</td>\n",
+       "      <td>0.072053</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>249</th>\n",
+       "      <td>2020-06-01</td>\n",
+       "      <td>Cases1</td>\n",
+       "      <td>0.016776</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Time  Metric  Normalized Value Label\n",
+       "245 2020-02-01  Cases1          0.000000  Data\n",
+       "246 2020-03-01  Cases1          0.033052  Data\n",
+       "247 2020-04-01  Cases1          0.138976  Data\n",
+       "248 2020-05-01  Cases1          0.072053  Data\n",
+       "249 2020-06-01  Cases1          0.016776  Data"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "columns = [\n",
+    "    \"Cases5\",\n",
+    "    \"Cases2\",\n",
+    "    \"Deaths5\",\n",
+    "    \"Deaths2\",\n",
+    "    \"Cases3\",\n",
+    "    \"Deaths3\",\n",
+    "    \"Cases4\",\n",
+    "    \"Cases1\",\n",
+    "    \"Hosp1\",\n",
+    "    \"Deaths4\",\n",
+    "    \"Deaths1\",\n",
+    "]\n",
+    "factor = \"Factor_Pandemic\"\n",
+    "state = \"MA\"\n",
+    "time = datetime(2020, 1, 1)\n",
+    "invert = True\n",
+    "df = norm[norm.State == state].set_index(\"Time\").drop(columns=[\"State\"])[columns]\n",
+    "factors = all_factors[all_factors.State == state].set_index(\"Time\")\n",
+    "\n",
+    "if invert:\n",
+    "    factors[factor] = factors[factor] * -1\n",
+    "\n",
+    "df = df.join(factors[[factor]]).rename(columns={factor: factor[7:]})\n",
+    "df.index = pd.DatetimeIndex(df.index)\n",
+    "df = df[df.index > time]\n",
+    "df = normalize(df)\n",
+    "df = df.melt(var_name=\"Metric\", value_name=\"Normalized Value\", ignore_index=False)\n",
+    "df['Label'] = ['Factor' if x == factor[7:] else 'Data' for x in df.Metric]\n",
+    "df = df.reset_index().sort_values(['Metric', 'Time'])\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Theme 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.rcParams.update(\n",
+    "    {\n",
+    "        \"font.family\": \"serif\",\n",
+    "        \"font.size\": 14,\n",
+    "        \"axes.labelsize\": 14,\n",
+    "        \"axes.titlesize\": 20,\n",
+    "        \"legend.fontsize\": 14,\n",
+    "        \"xtick.labelsize\": 12,\n",
+    "        \"ytick.labelsize\": 12,\n",
+    "    }\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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wAkYWeLLZbAgEAnLhLaWoqGjS7220F198EbFYDBs2bEhb1RwYmTp4++23y0W26RpvNb1bb7017etUQe9olZWVeOmll9DZ2Sn/DLI5xn/9618AgA9/+MNjHjv99NNx//3349lnnx23GHX88cenfX3uuefKC0YsBSxG0bJ2dF5UXV2d/HXqD2dDQwNeeOEFuFwuFBUVZXQchUKBwsJCFBQUYHh4GP39/XJRKvWHhIiIiCiXSJIEp9MJpVKJ/Px8AEBhYSEEQUBfXx+LUcvAl7/8ZfzsZz9b1J1Rk2UpzcSaNWtw1113TbldZ2cnduzYgf3796dNsfN6vSgsLJzweTabLe3rVI7Q6GmvPT09ADDufhQKxbgFkra2NgDAT37ykzHFqmQyCZ1OB7fbPeV4gJHIEqvVOuZ+tVqNSCQy5v7xdHV1AcCEn7uOLsBkSyQSwZNPPokXX3xRzl8CIE9tjEajczLG1L7GO2epgmJPTw+SyeSY8zO6GLgUsRhFy9roYtSKFStgs9lgt9vhdrvl6Xt6vR6lpaU4cuRIxsWoFEEQkJ+fj7y8PHg8HnR0dKC2tnZW+yQiIiJajILBIILBIMxms/whSq1WQ6FQYGhoaIFHR/PhvPPOy/oUuKWsra0NX/nKV2AymfDDH/4Qq1evll8bl1566aTPPboDZzLxeHzc+yeLCvnJT36CNWvWTPsYE+0rW3EkE30P2fKd73wn7evrr78ee/fuxRe+8AVceOGF8nTGbdu24YEHHliQMU5lJv8nFqOlPXqiWRpdjEq1vqam6rlcLni9XgBAY2MjPB4PBgcHs3JcQRBgt9thNBoX7ZUiIiIiotkYGBiAJEljOijUajV8Pt/CDIpoAT399NOIRCK46KKLsG7duqxHdpSVlQHAuMVeURTH7XBKXRh3uVzj7vO9995Df39/Fkc5ucrKSgCYMKR8YGBgwiD2TLW2tmLv3r2orKzEZZddNiZXay7HWFFRMeG+UveVl5fnZLwLi1G0rKWKUTqdTl4WtbGxUX481R1lMBhQUlKStsJFNuj1evj9/qzuk4iIiGgxGBwchCRJ8hS9FI1Gg1AotECjIlo4KtX4E5NisRiGh4dnvf+GhgaUlpaira1NnrKX8s4774y7kuUnP/lJAMALL7ww5rGWlhZ84xvfGLNi31w644wzoNFosGvXLjnbN6W5uRmXXHIJOjs7s3rM1HkZr6trvELcTMeo0+kA/N+Uyo6ODvzqV78CAJxzzjkQBAEvv/zymOOk7hu94nsuYTGKli2v14ve3l4AIyu7pHILjg4xT2lsbMTw8PC4VxQyZTAY2BlFREREOUeSJAwNDUEUxTH5mHq9ftr5MUS55IwzzoBarcbOnTvli9yhUAg///nPszLlS6FQ4Nprr4VCocCdd94pf25pbW3Fb3/723E7fs4++2xs3LgRr776Knbu3CmP4/Dhw7j55pvxsY99LG3F8bmWn5+Pa6+9FoODg/jFL34hdxh1dnbi1ltvxVlnnYUVK1Zk9Zjl5eVYuXIlOjo6sGPHDiSTSUiShJdffhnPP//8rMeY6j5LNTo8++yzePfddwGMFBCvuuoqHDhwAH/605/kn//bb7+NP//5zzjmmGNwySWXZPX7XSwEaalEreeAVOEjGwRBQElJyZJKy19sdu/ejQsvvBAAsGHDBuzcuRMA8Pzzz8urFWzZsgXf/e535ee89dZbSCQS4642kYlIJILu7u60AhgtTXxN5g6ey6WP5zC38HwuTX6/H88++ywSiQQuvvhiKBQK+Vw+9NBD6OjowGc+85mFHibNEF+P6T7zmc/A5/PB6/VCpVLJ+Wg7duyY8DnvvvsuHnjgATQ3N0OpVKKgoAAf//jH8cgjj2BgYABWqxVXX301Vq5ciW9/+9sIBoOIxWKwWq340Ic+hK1bt+I73/kODhw4AL/fD51OB71ejz/+8Y8wGo0ARqbW3X///Thy5AiMRiOqqqrwhS98ATfeeKN8jE984hP47Gc/i5KSEvT29uLvf/87nnjiCfT09ECr1cJut2Pjxo04//zz5Sli//u//4unn34abrdb/n5vuOEGuFwu/OY3v5EjTqxWK6655hoUFRXhlltugd/vRyKRgN1ux8c+9jGcffbZ+Na3voVwOIxIJAKz2YzCwkL87ne/k39O7733Hh566CE0NTVBEARYLBacc845uPjii6FWqyc9L7t378att94q799oNEKj0WD9+vW44YYbxn2O2+3G/fffj927d8Pn8yEvLw/HHXcclEolnnjiCZjNZjQ0NOCOO+7IaIy//vWv8dxzz0EURRQXF+Mb3/hGWsHqlVdewaOPPoqOjg75Z3j22WfjkksukcPqm5ubx/yfUCgU+NWvfoWSkpKsvjZLS0tnvY+psBg1j1iMWlweeOABfO973wMAXHjhhbjnnnsAjFS0TznlFADAxz72Mdx3333yc3w+H/7973/jQx/60LgrRWSiubkZ5eXlcvsmLU18TeYOnsulj+cwt/B8Lk0tLS3Ys2cP9Hq9HGCdOpdPP/009uzZg8997nMLPEqaKb4ecwvPZ+7I9rmcj2IUp+nRsjU6vDwVQgeMBP+Nrj6PZrFYUFBQgMOHD2dlDIIgwGQyMTeBiIiIckoqQHm8i3dFRUUQRRHBYHC+h0VERIsEi1G0bI0uRtXU1Mi3lUolqqqqAADt7e1j5m+vWLECLpcra8HjZrOZxSgiIiLKGaIowuv1IplMoqCgYMzjBQUFEARhXlfoIiKixYXFKFqWJEnCwYMHAYxcsTs6WDOV4RSPx8es1mCz2ZCXl5e17ih2RhEREVEuCQQCiEQi44aXAyOr6SkUinGXnyciouWBxShalnp7e+XOpuLiYtjt9rTHGxsb5dupVQ+Ofry/vz8r7eWpzijO0yYiIqJcMDAwAGBkufSJMjaVSuW8LhdPRESLC4tRtCyNnqJXVFQ0poW8oaFBvn10bhQwspynzWbLSneUwWCAJEmIRqOz3hcRERHRQhscHAQw0v2tUIz/cUOr1crLoRMR0fLDYhQtS6OLUcXFxbBYLGmPp6bpAeMXo4CR7qi+vr5Zv5FSKBTQ6XScqkdERERLXiovShTFSVce1ul0LEYRES1jLEbRsjS6GFVSUgKdTpf2eG1trXx7omJUQUEBzGZz1rqj+IaMiIiIljqfz4dkMolYLDZueHmKyWQas0gMEREtHyxG0bKUCi9XKBQoKSkZ00JuNBpRWFgIYKQYNV6ekyAIaGxsRE9PDyKRyKzGYzAY2BlFRERES97AwADUajUSiQRKSkom3M5msyGRSMzjyIiIaDFhMYqWnXg8Lnc7FRcXQ6/Xj7tdqjvK6/VieHh43G2KiopgMplw5MiRWY0pVYxiiDkREREtZUNDQxAEAWq1GiaTacLtCgsLIYrirC/oERHR0sRiFC07ra2tclt4cXHxmCl6KaNX1Jtoqp4gCKivr0d3dzdisVjGYzIYDEgkEmxXJyIioiUrkUjA5/NBFEUYjcYJw8uBkQt6AOByueZreEREtIiwGEXLztHh5QaDYdztVqxYId+eqBgFjGRO6fX6SbeZikKhgF6v51Q9IiIiWrJShahoNAqbzTbptlqtFkqlksUoIqJlisUoWnZSeVHASIv40SvppTQ0NMi3Jys0CYKAuro6dHZ2zqo7isUoIiIiWsoGBgbkVfJS2ZuTUSqV8Hq98zAyIiJabFiMomVndGdUUVER8vLyxt2urq5Ovj1V11N5eTk0Gg1aW1szHhdDzImIiGgpGx4ehl6vRzKZhMPhmHJ7tVqNYDA4DyMjIqLFhsUoWnZSnVEGgwE2mw12u33c7RwOh5wn1dLSMuk+U91RHR0dGa8Mw2IUERERLVXxeBx+v39a4eUpqS4qIiJafliMomUlEAigu7sbAFBZWQmFQjFhZpQgCKiqqgIAdHZ2TrnaS3l5OVQqFdra2jIam16vRzweZ4g5ERERLTlerxeSJCEcDk+rEAUARqOR73uIiJYpFqNoWRk9Ra+0tBQKhWLC1fQAoLa2FgAgSdKURSalUomamhq0t7cjmUzOeGwqlQparZbdUURERLTkDA4OQq/XIxAITBlenmKz2TLuKCcioqWNxShaVo7Oi1Kr1ZMuOzzdFfVSUp1U7e3tGY2PU/WIiIhoKRoaGoLdbkcoFJpWeDkA5OfnQxTFWS0AQ0RES1PWilEejwetra28ukGL2uhiVEFBATQazaTbr1q1Sr49VW4UMNIdVV1djba2toy6owwGA7MTiIiIaEmJxWIIhULQ6XRIJBIoLi6e1vMcDgckScLg4OAcj5CIiBYb1WyeLEkSnnrqKTzzzDNwuVwAgLvvvhvFxcW45ZZbUFNTg0suuWTKD/xE8yUVXg4AhYWFk07RA4CGhgb59nSKUQBQU1ODtrY2dHV1obq6ekbjMxgMfENGRERES0oqLyoUCkGr1cJoNE7reQaDAQqFAi6XC6WlpXM8SiIiWkwy7owSRRE//elP8cc//lEuRI1WU1ODZ555Brfccgtbb2lRkCRJ7owqLi6GRqOB2Wye9DnV1dUQBAHA9KbpASPZT1VVVWhpaYEoijMao16vRzQaZYchERERLRkDAwPQ6/Xwer1Tvrc6mkqlgtvtnqORERHRYpVxMepf//oX9uzZgxNPPBHf//738T//8z/QarXy41dccQVuu+02DA0N4Z///GdWBks0Gy6XCx6PBwDQ2NiIZDIJq9U66XO0Wi0cDgeAkWKUJEnTOlZtbS0SiQR6enpmNEa1Wg21Ws2pekRERLQkSJKE4eFh5OXlwe/3Tzu8PEWtViMQCMzN4IiIaNHKuBj18ssv48wzz8TWrVtxzDHHyB/YRystLcWll16KV155ZVaDJMqG0XlRqaBxu90+5fNS24ZCIfT19U3rWGq1GpWVlTMqYKUwxJyIiIiWimg0inA4jLy8PASDwWnnRaVotVpehCMiWoYyLkZ1d3fj7LPPnnK7xsZGOJ3OTA9DlDWj86LKy8sBACaTacrn1dfXy7enO1UPAOrq6hCNRtHb2zuDUbIYRUREREuHz+cDACSTSYiiOO2V9FKMRiMjPYiIlqGMi1GJRGLK8OfUdvF4PNPDEGXN0SvpCYIwrYDNlStXyrenG2IOABqNBuXl5TPujmIxioiIiJaKVF6U2+2GTqeDXq+f0fPNZjOzMomIlqGMi1HFxcV46623ptxu165dKCkpyfQwRFmT6oxSKBSwWq1QKpXTWulx1apV8u2ZdEYBI11VoVAI/f39036OwWBAJBKZcfg5ERER0XwanRc1PDw8rY7zoxUUFEAURSSTyTkYIRERLVYZF6NOPvlk/PnPf8bf/va3tNba1Mpj0WgUjz/+OB577DGceuqpsx8p0Swkk0kcOXIEwMgKefF4HGq1GgrF1C+BxsZG+fZMi1E6nQ5lZWUz6o5Sq9VQqVTsjiIiIqJFLRwOIxKJID8/Hz6fD3l5eTPeR2FhISRJwuDg4ByMkIiIFitVpk88//zz8dprr2H79u14+OGHUVZWhng8jnvuuQfRaBQ9PT2Ix+OorKzExo0bszlmohlra2tDNBoFMDLtLhKJpK3+OJm8vDyYTCYEAoEZTdNLaWhowAsvvACXyzWtUE9BEGAwGBAOhzO6wkhEREQ0H3w+X9r7lqKiohnvw2KxQBAEDAwMzDj8nIiIlq6MO6N0Oh1++MMf4phjjkEymURnZydEUURTUxPa29sRj8dx3HHH4YYbbpjWVCiiuTQ6L2rVqlWIx+MwGAzTfn5FRQUAoK+vb8bLD+v1epSWls6oO4q5UURERLTYDQ4OQqfTIRgMQpKkjIpRCoUCKpUKw8PDczBCIiJarDLujAIAm82G73//+2htbcXevXvl9tqCggIce+yxqKmpycogiWZrdDGqoaEBQ0NDsFgs035+TU2NnDnV2tqKY445ZkbHb2howEsvvYShoSEUFBRMub3BYJhRzhQRERHRfBJFEcPDwygsLITT6YRWq834ArRarZ7xxT4iIlraZlWMSqmtrUVtbW02djVGLBbDjh07sHv3bjlLZ9OmTTjhhBOmfO7+/fuxc+dODA8Py1ddPvrRj+Kss86ak7HS4pUqJAFAeXk5BgcHYbVap/38+vp6+XZzc/OMi1FGoxHFxcU4fPjwtIpRer0e4XAYoihOK9eKiIiIaD6FQiHEYjHk5eXhwIEDM7rIdzStVsuOcCKiZWbOP+XGYjE8//zzGT//nnvuwVtvvYVbbrkFt99+OzZt2oTbb78db7/99qTPa2lpwY9//GNUV1fjjjvuwB133IFNmzbhN7/5DZ599tmMx0NLU6oYpdPpYDKZIAjCjN40zWZFvZTGxkZ4PJ5ptaFrtVooFApEIpGMjkVEREQ0l1J5UWazOePw8hSDwSBnexIR0fIw58WoUCiE3/zmNxk998CBA3j99ddx8cUXy4WDE044AevWrcO2bdsmzd957bXXkEgkcOGFF8qdJSeeeCIqKirw8ssvZzQeWppCoRA6OzsBACtWrJCvvOn1+mnvY82aNfLtTItRZrMZhYWF8qp+k0mFgfIqIRERES1Gg4OD0Ov1UCqViEQiGeVFpZjNZiQSiSyOjoiIFruMp+k9+uij09puNp0du3btAgCsXbs27f5169bhvffeQ0tLS9r0qdFSBahkMpl2fzKZhCiKGY+Jlp7Dhw/LhcuVK1fC6/VCoVDAaDROex9VVVVQKpVIJpMZraiX0tjYiFdffRUejwc2m23SbfV6PYtRREREtOiIogiPx4OioiIMDQ0BwLRiCCaSl5eHZDKJZDIJpVKZrWESEdEilnExaseOHdkcx7g6Ojqg1+vHTKdKLfva0dExYTHqnHPOwcsvv4zt27fjP//zP6FWq/Hcc8+ht7cXX/va1+Z87LR4jA4vX7lyJQKBAJRK5YxCNlUqFRwOB3p6etDa2prxmyWr1Yr8/HwcOXIEJ5544qTbGgwGDAwMzPgYRERERHMpEAggkUjAbrejt7cXer1+Vqtnp97bpwLRiYgo980qwPy8886DTqdLu0+SJPh8PjidTrz//vs45ZRTUFJSktH+fT4fDAbDmPtT06t8Pt+Ezy0oKMBNN92EX/7yl/jc5z4HnU4HrVaL66+/Hh/4wAcmPW48Hkc8Hh/3MUEQZjS9a7znZ0NqP9naXy4bXYxatWoVXC4XNBrNjItJVVVV6OnpQSwWQ3d3N6qrqzMaz4oVK7Br1y4EAgG50DreeTQajfL0Qp7nxY+vydzBc7n08RzmFp7Pxcfv98v5m/v374fFYpnW+ZnoXNrtdgAjU/9mM92P5h5fj7mF5zN3LMVzOati1AUXXDDpimSDg4O45557cNFFF83mMBk5fPgwbr31Vnzwgx/ED37wA2g0Grz33nv4xS9+gSuvvBJnnHHGhM997LHHJpyGWFNTg9tuuy2jMRUXF2e99djhcGR1f7lo9LS6M844Aw8++CDsdvuMi6SrV6+Wp4663W6ccsopGY2npKQEnZ2d6O3tRWNjI4Dxz6MkSeju7obVap3RlEJaWHxN5g6ey6WP5zC38HwuHq2trcjLy0NNTQ1eeOEFrFmzZkbvq8Y7l2q1GpFIJOOL2DS/+HrMLTyfuWMpncuMi1E33ngjTCbTpNsUFBTgkksuwfbt23H99dfP+BhmsxldXV1j7g+HwwAw6Wpo27Ztg0KhwFVXXQWVauTbPO6443DaaafhN7/5DVavXj3hlZcLL7wQ55133riPzabS6HQ6s9oZ5XA40N/fP2mQOwHvvfceACA/Px+JRALRaBQqlQp9fX0z2k9lZaV8e/fu3Vi/fn3GYyorK8Mbb7yB8vJy1NfXT3gek8kk2trakJ+fn/GxaH7wNZk7eC6XPp7D3MLzubgkk0l0dXWhuLgYbW1tCAQC0Ov103pfNdm5VCqV6O/vn/H7M5pffD3mFp7P3JHtczkfFwYyLkatXr16WtsVFBSkTZOaierqahw+fBh+vx9ms1m+3+l0AhiZNjWRjo4OVFVVyYWolNLSUiSTSbS2tk5YjFKr1VCr1RmNeSrZfpFLksRfHJMYHByUgzVXrlwJv9+PZDIJq9U645/bqlWr5NvNzc2z+rnn5eXBarWiqakJ9fX1E55HvV6PYDA4q+WSaX7xNZk7eC6XPp7D3MLzuTik3kvZbDb5PVZeXt6Mzs1451Kj0SAUCvEcLxF8PeYWns/csZTOpWKuD3Dw4MGMl2pNTYPat29f2v3vv/8+iouLUVdXB2BkRQ+v15u2TeoP5NEr57lcLgCYsquLcsPBgwfl26mV9ARBSCtuTteaNWvk283NzbMalyAIaGhoQH9/v9zpNx6DwTDp40RERETzKfWe22w2w+l0Qq/Xj7n4mwmDwYBoNDrr/RAR0dKQ8V+OAwcOTPiYKIoIBoNoaWnBM888M+GKd1NZs2YNTj75ZOzYsQNr166FxWLBnj17sHfvXmzdulWe8nbffffhueeew49+9COsWLECAPDxj38c27Ztw1/+8hds2rQJgiCgtbUVzz33HGpra6fd2UVL29Hh5anAzfGC8aditVphtVrh9XpnXYwCgMLCQqhUKvT3949ZCCDFYDCgu7sbkiQtqTA6IiIiyk1DQ0PQ6XTQ6/Vwu92TxmbMhNls5irCRETLSMbFqJtvvnla22k0Glx22WWZHgZbtmzBjh07cMMNN0CtVkOpVGLr1q044YQT5G1SAc+jV7nbuHEj8vPz8fe//x2vvvqqHBz+0Y9+FOeffz4UijlvCqNF4OjOqFQxKtNA8PLycni9XgwNDWF4eHhW0+cEQYDJZMLg4CDKy8vH3Uan00EURUSj0QkLVkRERETzIZFIwOfzyQG5fr9fXoxltux2O5LJJJLJZNYX/CEiosVnVj21jY2N47blKhQK6PV6VFdX44wzzkBBQUHGx9BoNLj88stx+eWXT7jN5s2bsXnz5jH3b9iwARs2bMj42LT0pYpRgiBgxYoV2LVrFwRBSCtczkRVVRX2798PYGSVvtlmOVksFgwPD09YjEq9lsLhMItRREREtKD8fj8kSYLNZkMwGEQsFkNhYWFW9l1cXAxJkuDz+WC327OyTyIiWrxmVYzaunUrrFZrtsZClFWiKOLIkSMARopIBoMBwWAQKpUKWq02o32mcsqAkWLUiSeeOKsx2mw2tLW1TbqNwWBAKBTiGzMiIiJaUD6fD8D/TakTBCFri6zY7XYIggCXy8X3PEREy0DGc9XOO++8jD/QE82Hjo4OOfx75cqVAIBIJAKtVptx/lIqkwyYfYg5MLL6TDgcnjSwM1WMIiIiIlpIw8PDcl6Uy+WCwWDISng5AKhUKiiVSgwPD2dlf0REtLhlXIy68sorpzVtKJFITBp2TjRXRoeXr1y5EpIkIR6PZxRenjI6+L6lpWVW4wMAvV4PtVoNt9s96TZc6piIiIgWUiwWg8/nQ15eHgRBgNvtzvoMCZVKNWaFbCIiyk1znuIdCASmHXZOlE1HF6MikQgSiQTMZnPG+6yrq4NGowGQnc4oQRBgtVrh8Xgm3MZgMCCRSCAej8/6eERERESZSC0CY7Va5ZWz8/Pzs3oMjUYjd7UTEVFum1Zf7Ww6mwKBQMbPJZqN0cWoVatWwev1yivYZUqlUsHhcKCzsxMdHR2IxWJycSpTdrt90qWMFQoFdDodQqHQrI9FRERElAmfzwdJkmA2m+Xw8qKioqweQ6/Xw+/3Z3WfRES0OE2rGMXOJlqKUivpabVaVFdXy9PqjEbjrPZbXl6Ozs5OJJNJdHR0oKGhYVb7y8/PR2tr66TbpHKjbDbbrI5FRERENFOSJKXlRbW1tUGhUGT9fYnJZGJmFBHRMjHtxMHGxsaMAgoTiQQOHz484+cRzUYkEkF7ezsAoL6+HiqVCoFAAAqFAnq9flb7rqmpwa5duwCMTNWbbTGqqKgI4XAY8XgcarV63G0MBgOvFBIREdGCiEajCAaDKCkpgSAIGBgYgNFozFp4eUpqleFkMgmlUpnVfRMR0eIy7b8gW7duzSik0OPx4Jprrpnx84hmo7m5GclkEsD/raSXmjI6mwBzYCQ3avRxZstqtUKhUMDr9aKgoGDcbQwGA5xO56yPRURERDRTqbwoi8UCAHMSXg6MXKBL5VGljkVERLlpWgHmp59+esZZNRqNBqeffnpGzyXKVGqKHjCSFwUAwWAQCoVi1tP0UsUtIDvFqNSYplpRLx6PM8SciIiI5l0qL8pkMiGZTCIUCk14AW02CgoKIAgCBgcHs75vIiJaXKZVjPrKV76S8dQmnU6HSy65JKPnEmXq6JX0ACAcDkOtVs86BHz16tUQBAEA5Byq2bJYLJMuZaxSqaDVarnCDBEREc2rVF6UVquFwWBAIBBAPB7Peng5MHIRW6FQTLqwCxER5YZpFaNmw+fz4atf/epcH4YozejOqFQxKhqNQqvVznrfeXl5yMvLAzDSGSVJ0qz3abVap1x5MhViTkRERDRfIpEIIpEI8vLyIAgCXC4XlErlnEzTA0YuwDEnk4go9806dTCRSODIkSMYHh5GIpEY83gwGJztIYhmLFWMstlscDgciMfjSCQSs56iBwBKpRKlpaUYGhqC3+/HwMDArK8O2u12HDx4cNLATr1ez2IUERERzatUXpTZbAYAObxcoZiba9oajWbKC3RERLT0zaoYtWvXLvz+97+Hz+fL1niIZs3tdsPlcgEY6YoSBAFer1fOOsiGiooK7Nu3D8BId9Rsi1EWiwWSJMHv90+4TLLBYMDQ0NCsjkNEREQ0E6n3UKlilNfrnfC9SjbodDpefCMiWgYyvqRx6NAh3H333TCZTDjttNOgUChw0kkn4fTTT8fpp5+OdevWQaPRQK1WM8Cc5tV4eVFerxeCIGSlMwoAamtr5dvZCDFXKpUwGAwYHh6ecBuDwYBoNDpuByIRERFRtkmSBI/HI+dFJRKJOQsvTzGZTFywhYhoGci4M+pvf/sb1q9fj+uuuw4KhQK7d+/GFVdcgeLiYnmb4eFh/OQnP8GKFSuyMlii6RivGJVqMTcYDFk5Rl1dnXw7G8UoADCbzZOGmKvVaqjVaoTDYfnqJBEREdFcCYVCiEajKC4uhiAI8Pl8SCQSKCwsnLNj2mw2dHR0zNn+iYhocci4M+rIkSM4//zzJ50vnpeXhyuuuALPPfdcpochmrHxwstDoRAEQch4VcijpfYLZG9FPavVOmVgJ0PMiYiIaL74/X4oFAr5IpjL5YJKpYLFYpmzYxYWFkIURebOEhHluIyLUaFQKC0nR6FQIBqNjtmupKQEPT09mR6GaMbGK0YFAoGsdkbV1NTIha1sdUbZbDYEg0GIojjhNixGERER0Xzx+XxpmZuDg4NzGl4OAPn5+RAEAQMDA3N2DCIiWngZ/yWx2WxpK12YTCa0tbWN2a61tZUZNzRvJElCU1MTAKC8vFy+kheJRKBQKLJWjDIYDHA4HACA7u5uhMPhWe/TZrMhmUxOuoKMwWDIyrGIiIiIJiOKIjweDzQaDQwGAyRJgtfrhd1un9Pj6nQ6FqOIiJaBjItRpaWleP755+Wva2tr8cgjj6R1iTQ1NeEPf/iD/KGdaK51d3fLbd2jp9KFw2Go1WpoNJqsHEepVKKsrEz+OhtT9dRqNfR6PTwez4TbpIpRk3VPEREREc1WMBhEPB6H1WqFQqFAPB5HJBKZ07woYGS2hUql4mrdREQ5LuMA8xNOOAH3338/gsEgvva1r+Gcc87BG2+8ge9///vy1ZNUB8f555+ftQETTWa8KXrJZBLxeDxrK+mlVFZWyrdbWlqwdu3aWe/TbDbD4/Gk7Xs0tVoNlUqFUCgkt8wTERERZVsqLyqVD+X1epFMJpGfnz/nx9ZoNMyMIiLKcdPujLr55pvT/iiceuqp+PSnPy2vlLd27VpcfvnlUCqVCIVCciHqIx/5CDZu3JjlYRONb/RKeqtWrQIwkhclimLWize1tbXy7WyFmFsslkmvBKZyrzhVj4iIiObS0XlRAwMDUKlU87Kir1ar5XsdIqIcN+3OqAMHDiAcDsvdJWazGZ/85CfTtrngggvw4Q9/GE1NTZAkCbW1tWkh50RzbbzOKK/XC0EQst4Z1dDQIN/OZoh5R0cHJEmCIAjjbsMQcyIiIppLyWQSXq9XzosCRsLLTSbTnIaXpxiNxilXGCYioqVtRn9NvvnNb+LXv/41Dh8+POE2NpsNGzZswMknn8xCFM27VDFKrVajrq4OwEibuSAI8up32dLY2Ci/IctmMSoej09abNLr9SxGERER0ZwJBAJIJpNyXpQkSfD5fHMeXp5itVqRTCbn5VhERLQwZlSMuuKKKzA8PIwf/vCHuPbaa/Hkk08yXJAWjVgsJq/oWF9fD7VaDWDkDdVcFKPsdjsKCgoAjEzTy0aouFarhVarhdvtnnAbhpgTERHRXErlRaWm6EWjUUQiEfl9z1wrKiqCKIqcqkdElMNmFGC+YcMGnHPOORgYGMALL7yAv//973jooYfwgQ98AP/xH/+B4447bo6GSTS15uZmJBIJAOkr6QWDwTkpRun1epSUlMDlciESiaC3txfl5eWz2qcgCDCZTPB6vRPuS6vVQqFQIBKJyK3zRERERNmSyotK5UN5vV6IojhvxahUB9bw8HDa6sVERJQ7pt0Z9cgjj8BqtQIACgsLcckll+CXv/wltm7dCgD46U9/iq985Sv485//jIGBgbkZLdEkRoeXjy5Gpa6qZTszSqVSpb1BytZUvemGmHOqHhEREWVbIpGAz+eDWq2WL3q5XC6o1eqsv5eaiNlshiAI/ExBRJTDZtQZdTRBELB+/XqsX78ePp8PL774Il544QXs3LkTa9euxVlnnYWTTjoJKtWsDkM0LRMVoyKRCJRK5Zy8gaqqqpJvNzc344wzzpj1Pq1WK3p7eycNMWduFBEREc2FQCAAAHJeFAAMDQ3BbDbPS3g5ACgUCiiVykljC4iIaGnL2l8Ui8WCCy64AHfeeSduuukm5OXl4d5778U111yDBx54IFuHIZrQgQMH5NurVq0CAIiiiGg0Co1GMydF0draWvl2tjqj8vLyEI1GEY1GJ9yGnVFEREQ0F47Oi5IkCX6/f97Cy1M0Go1cGCMiotwzJ5c3EokE4vE4kskkAoEA/v73v8/FYYjSpDqjLBYLSktLAYxM0Usmk3OWrbRixQr5dktLS1b2qdfroVar4fF4JtwmFWIuSVJWjklEREQE/F8+VCovKhwOIxqNzlteVIpGo0EkEpnXYxIR0fzJWquI2+3GCy+8gBdffBFOp1O+X6FQ4Nhjj83WYYjG5fP50NfXB2CkQJSa3pbKXpqrYlRpaSnMZjP8fn/WilGCIMBoNMLtdsPhcIy7jU6nAzAyBTHbwexERES0PMXjcQQCgbS8KJ/PB1EUkZ+fP69jMZlMcLlc83pMIiKaP7MqRomiiD179uC5557Du+++m7bUfFFREc4880ycccYZyMvLm/VAiSbT1NQk3x6dF+Xz+eZkJb0Uk8kEh8MBv98Pp9MJn88Hi8Uy6/1aLBb4/f4JH099T6FQiMUoIiIiyorUFL3R+VD9/f3QaDTzvoKvxWJBb2/vvB6TiIjmz7SLUZs3b8Zvf/tbWK1WOJ1OPPfcc3jppZfSphJpNBps2LABZ555JtasWTMX4yUa18GDB+Xbo4tRqTdVqU6ibNPr9XA4HDhy5AiAkal669evn/V+rVbrlCvIpHKj5vtKJREREeUmv98PQRDkKXoAMDw8PK/h5SkFBQUQRRGxWAwajWZej01ERHNvRp1Ru3btwu7du9OCooGREOczzzwTH/rQh+b9qgkRMPFKesFgcE47o1QqFcrLy+Wvm5ubs1KMstvtiEQiiMfjUKvV425jMBgwPDw862MRERERAf83JS9VjBJFEYFAABUVFfM+ltTMiqGhIZSUlMz78YmIaG7NqBi1bds2+bbJZMJpp52Gs846C5WVldkeF9GMjC6Qji5GRSIRCIIwp0XS6upq+Xa2VtQzmUxQKpXweDwoLCwcdxuDwYDu7m5IkiRnZBERERFlIhqNIhQKQaVSye+bQqEQYrHYvIeXAyPT9ARBwMDAAItRREQ5aEbFKEEQsG7dOpx55pk46aSToFJlLf+cKGOSJMmdUQ6HAzabTX4sHA4DmLsAcwCoq6uTb2crxFyhUMBgMExajNLpdHL7ularzcpxiYiIaHny+/1QKpVpU/I8Hg8kSVqQSACVSgWlUgm32z3vxyYiork3o2rST3/6U3ZB0aLT19cnh32vWrVKvl+SJESjUSiVShiNxjk7fnV1NVQqFRKJRNY6owDAbDbD6/VO+LhCoZBDzFmMIiIiotkYLy/K5XItSHh5ikqlQiAQWJBjExHR3Jp2EmFBQQHsdvtcjoUoIxPlRcViMcTjcWi12jnt4rNarSguLgYAtLe3I5FIZG2/k62oB0AuRhERERFlSpIkOS/KZDLJ97vd7qysEpwpnU4nd7kTEVFumXYx6pe//GXalRKixWKiYpTP5wMwt1P0gJF8J4fDAQCIx+Po7OzMyn7tdjvC4TCSyeSE26RW1CMiIiLKVCQSQTQahUKhkLvJk8kkAoGAHCS+EPR6PaLR6IIdn4iI5s78rtFKNAcmCi/3+XxzupJeisFgSAvWzNZUvdSVyFRRbaJjh0IhSJKUlWMSERHR8jNeXlQwGEQ8Hl+QvKgUq9WatY5zIiJaXFiMoiXv4MGDAAClUomGhgb5/lT2gU6nm9PjK5VKlJeXy19nK8RcqVTCYDBMGtyp1+uRSCQQj8ezckwiIiJaflKxAKOn6Hk8HoiiuCAr6aXYbDYkk0nEYrEFGwMREc0NFqNoSYvH43Lxp7a2Ni3IOxgMQqFQzHkxShAEVFdXy19nM8TcZDJNGmKuVCqh0+k4VY+IiIgyMjov6ujwcr1eP+fvoyZTVFQEABgeHl6wMRAR0dxgMYqWtLa2NrkraPQUPQAIh8MQBGFeVoCpr6+Xb2ezGGW1WiedpgeMTNVjuCcRERFlIhwOI5FIjFl92O12L3hebCqygMUoIqLcM3dLjGVJLBbDjh07sHv3bqjVaqhUKmzatAknnHDCtJ7/73//G88++yxisRhCoRB0Oh3OPPNMbNy4cY5HTvMhNUUPmLgYNR9X9AoKCpCXl4fh4WE0NzdDkiQIgjDr/drtdjQ3N0MURTnD4WgGg4HLHhMREVFG/H4/VCoVjEaj/F4jHo8jGAyirq5uQcem0WigVCpZjCIiykGLvhh1zz33oKurC7fccgssFgveeust3H777bjuuutw/PHHT/rchx9+GHv27MG3v/1tFBQUQBRF3HfffXj77bdZjMoRo1fSW7VqVdpjkUgEANKu8s0Vo9GI4uJiDA8Pw+PxYHh4OCuBn1arFaIoIhAITLi0ssFggMvlmvWxiIiIaPkZLy8qFAohkUgsaHh5ilqtnrJLnIiIlp45n6YXiUTw4IMPZvTcAwcO4PXXX8fFF18sfxA/4YQTsG7dOmzbtm3SFcRaWlrw2GOP4Utf+pIcvKhQKHDppZdi06ZNGY2HFp+JVtKLx+Nyy/l8TNMzmUxwOBzy19maqqdWq6HT6Sa9IqjX6xGLxbjaDBEREc2IKIrj5kW53W5IkoS8vLwFHN0IrVbLOAIiohw0L8Woxx9/PKPn7tq1CwCwdu3atPvXrVsHp9M56apl//rXv2Cz2VBbW5t2v8ViGdNBQ0tXqjPKYDCgoqJCvj8YDCKZTEKn00GlmvsGQL1ej5KSEvnrbOZGmc3mSa8IqlQqaLVahpgTERHRjIRCIYiiCEEQ0jrJF0N4eYper0c0Gl3oYRARUZZN61P6r371q4wPMJulWDs6OqDX68dMTyouLpYfHx0cPdqhQ4dQVFSE119/HU8//TS8Xi/0ej1OO+00fOxjH5s0zycej8uh2EcTBAF6vT7D7whZyREavZ9s7W8pCgQC6O7uBjDSFaVUKuXH/H6/HF4+Hz8jtVqN8vJy+euWlpZpHXc659FqtWJwcHDSbVIh5lardQajpmziazJ38FwufTyHuYXnc+74/X6o1Wro9Xr5fZQkSfB4PLBarVn/mWdyLs1m85Tvg2j+8PWYW3g+c8dSPJfTKka99NJLcz2Ocfl8vnGnWKWKQZN1iwwODmJwcBBPPPEEtm7dCpvNhrfffhs///nP0dvbi//8z/+c8LmPPfYYHn300XEfq6mpwW233TbD72REcXFxWsEkG0ZPDVtuXn/9dfn2Bz7wgbTOpI6ODmg0GuTl5aXdP5dGd/B1d3fP6LiTncd4PI7+/n44HI4Jf7nEYjEEAoF5+15pYsv5NZlreC6XPp7D3MLzmX1OpxMWiwWlpaXye4hIJIJ4PI7Vq1fP2fuKmZzL6upqtLS0ID8/HxqNZk7GQzPH12Nu4fnMHUvpXE57/tJVV101pjC0f/9+vPbaazj55JNRVlYGm80GAPB4POjp6cHrr7+OhoYGnH766Vkd9HTE43GIoogrr7wSdrsdwEje1Kmnnop//vOf+MQnPoHCwsJxn3vhhRfivPPOG/ex2VQanU5nVjujHA4H+vv7J83OymWvvPKKfLuyshJ9fX3y1319fZAkCclkMu3+uZSXlwedTodIJIL9+/dP67jTOY+pAPOWlpYJw9jD4TB6e3sXRbbDcsXXZO7guVz6eA5zC8/n3BBFEd3d3RAEAQUFBfL7FrfbjUgkApVKlfX3UJmcS41GA1EU0dTUJOfA0sLh6zG38Hzmjmyfy/locph2MeqDH/xg2hSgw4cP45lnnsE999wjF6GOdsUVV+AnP/lJxgHSZrMZXV1dY+5PhRhOtLoYMNI9FQwGUV1dnXZ/TU0NXn75ZbS0tExYjFKr1VCr1RmNeSrZfpFLkrRsf3EcHV4++ucQCoUgCAJ0Ot28/XyMRiMcDgfa29vR2dmJcDg87ayFyc6jWq2GRqPB8PDwhK8lvV6PSCQih7bTwlnOr8lcw3O59PEc5haez+xKraInSRKMRqP8sx0cHJTDy+fq5z2Tc5l6vz84OLgoVvejEXw95haez9yxlM7ltALMv/vd76Yt9woAjz76KC677LIJC1EAYLPZcMUVV+Cpp57KaHDV1dUIh8PyH8sUp9MJAKiqqprwuan8HlEU0+5XKBTj3k9Lz+hi1NGh9OFweNb5XjNlNpvltkhRFNHe3p6V/QqCAJPJBI/HM+E2qQIqQ8yJiIhoOvx+P1QqFYxGo/z+GBgp+uj1+kUzJU6r1UKhUGBoaGihh0JERFk0rWLUcccdN6bborm5GaWlpVM+t7S0FB0dHRkN7pRTTgEA7Nu3L+3+999/H8XFxairqwMw8sHf6/WmbXPCCScAADo7O9Pu7+rqgiAIEwaf09IgSRKampoAAEVFRWOmp6VWXcm0Ky8TJpNJDtcHsruinsViGVOUPZrBYGAxioiIiKYl9b5i9AXn0eHli4VCoYBarZ40K5aIiJaeaRWjxhOPx6c1j7y3txfJZDKjY6xZswYnn3wyduzYIf8B2rNnD/bu3YurrrpKzl+677778MUvflEuTgDARz/6UZSUlOChhx6Sp/U1Nzfj3//+Nz7ykY+gqKgoozHR4uByueROoZUrV6Y9lkwm5WLURBlLc0Gn06XNrc1mMcpmsyEQCEzacsliFBEREU1HIpFAMBhEMpmE2WyW749Go4hEIotuOpxGo+F7HCKiHDPtzKijVVVV4YEHHsAPfvCDCa+eeDwe/PGPf5x0Ot1UtmzZgh07duCGG26AWq2GUqnE1q1b5c4nALBarTAajWlTsnQ6HW666SZs374d3/zmN+UW30svvRQf+9jHMh4PLQ6HDh2Sbx9djAqHwxBFEWq1etqZTdmgUqlQUVEhf93S0pK1fdtsNsRiMUSj0Qm/J4PBMOlUPiIiIiIACAQCUCqVEEUxrTPK7/cjmUwuugVR9Hr9lB3iRES0tGRcjDr//PPx85//HF//+tdx4oknora2FhaLBZIkwefzobW1FW+99RYikQi+9a1vZTxAjUaDyy+/HJdffvmE22zevBmbN28ec7/dbseWLVsyPjYtXpMVo1JddFqtFipVxv/FZ0wQBFRXV0OhUEAUxax2RhkMBqhUKrjd7glXNjAYDHIhbnT2AxEREdFofr8fSqUSer0+7T1D6qJWaiXqxcJkMmF4eHihh0FERFmU8Sf1DRs24NOf/jQeeeQR/Pvf/8a///3vMdsIgoDLLrsMJ5100qwGSXS0o1fSG83n80GhUECr1c73sGC1WlFYWAin04mWlhZIkiRPJ52N0SHmExWj1Go1VCoVQqHQmAUHiGj6wuEwOjs752xVVSKihTZeXhQADAwMLKrw8hS73Y62tjYkk0muGkxElCNm1TbyyU9+EscddxyefvppHDx4UF7lIj8/H6tXr8a5556L6urqbIyTKM3BgwcBjBRpGhsb0x7z+/0LVowyGo0oKSmB0+lEMBhEf3//hMWjmTKbzZOGdwqCIHdHsRhFlJlYLIYjR45Aq9WirKxsXnPniIjmQyKRQCgUgkqlSsuLEkURHo9n0pWyF0pBQQEkSYLX6110UwiJiCgzs57DVF1djS9/+cvZGAvRtCSTSXkKXHV1dVpWGACEQiEoFIp5zYtKGW9FvWwVo2w2GwYGBibdhiHmRJlLJBI4cuQIzGYzLBYL+vr6uPIqEeUcv98PtVqNZDKZdvEqEokgFostymJPKp92eHh4UY6PiIhmjsEytOS0t7fLq+WtWrVqzOPhcBgKhWJMkWo+HF2MymaIud1uRyQSkb/38ej1ehajiDKQKnJrNBrEYjEMDAzA4/EgEAgs9NCIiLLK7/fL0/9H50X5/X4kEolFWewxGAxQKBTyLAwiIlr6Zl2MisViePnll/Hb3/4Wt956qxx8uGvXLq56QXNisvByAHKxZiE6o3Q6HRwOh/x1NkPMjUYjlEolvF7vhNuMDjEnoukRRRGtra1yvpsoiigoKIBSqURfX98Cj46IKLtS788tFkva/cPDwxAEYVEWoxQKBVQq1aTvgYiIaGmZ1TS9/fv34+67705bTj5VCPjrX/+KX//619iyZQs2bNgwq0ESjZbKiwLGFqMkSUIsFoNKpYLBYJjvoUGtVqOiokL+OpvFKIVCAaPRCI/Hg6KionG30Wq1UCgUiEQiC/L9Ey01kiSho6MDsVgMOp0O0WgUK1asQF5eHtrb2+XuKOawEVEuiMfjcgf56LwoABgcHITRaJzXlYhnQqPRIBgMLvQwiIgoSzLujOrt7ZU7oRobG/GhD30o7Y/X1q1b8cEPfhB33XUX2trasjJYImDylfQikQji8TgALEjwsCAIKCoqkj+4ZrMYBYxMA5zsqqAgCJyqRzRNkiShu7sbgUBA7ipsaGiASqWC0WhEfn4+FAoFu6OIKGf4/X6oVCooFIq0i1aiKMLv9y/K8PIUvV4/aVQBEREtLRlf+vjrX/8Kg8GA//qv/0JVVRUA4M0335QfLyoqwpe+9CWIoojHH38c3/jGN2Y9WCLg/6bp6XS6Mas1pnIQlErlgnUGGY1GlJaW4vDhw+jr68tqV4XVakVHR8ek2zDEnGh6nE4n3G43zGYz/H4/VqxYAbVaDZ/PB7/fD4fDgcHBQXZHEVHOSK04bDQa5anJwMjiL7FYDHa7fQFHN7lUdzgREeWGjDuj3n//fVx11VVyIWoi55xzTlZDnGl5C4fD6OzsBAA0NjZCqVSmPe7z+SAIAjQaTVoo53wyGo1pK+i1trZmbd95eXkIh8NIJBITbsNiFNHUBgcH0d/fD4vFAp/Ph8bGRmi1Wng8HrS0tMDlciEUCqGwsBCCILA7iohygt/vhyiKY/Ki/H4/ksnkosyLSrFarUgmk0gmkws9FCIiyoKMP617PB7U1tZOuZ3NZsPw8HCmhyFKc/jwYUiSBGD88PJAIACFQrEg4eUpJpMpLdMpm8XYVL7DdELMUz8nIkrn8XjQ1dUFu90Oj8eDhoYG6HQ6DA8Po62tDdXV1WhsbER3d7f8Wna73VxZj4iWtFgshkgkgmQyOSYvKhVevpg7o/Lz8+XphEREtPRlXIwyGAwYHByccruurq4Fye6h3DTVSnqpYpRWq53PYaUxmUwoLi6Wv85mblRq+uFkbeo6nQ6SJDFXgWgcfr8fbW1tsNvtGB4eRn19vfz3rKOjA7W1tbDb7SgsLIRer8fg4CCKioqYHUVES57f74dSqYRGoxnzPmmxh5cDkAtlvMhNRJQbMi5GNTY2Yvv27YjFYhNuEwqF8PDDD49bNCDKxOjw8lWrVo15PBwOQ6lULmhnlE6ng8PhkL/Odoi52WyeMsScU/WIxgqFQmhpaYHVaoXb7UZdXR1MJhNcLhe6u7tRX18Pq9UKYOR1VFFRgYGBAdhsNgiCgOHhYXZHEdGSlYoysFgsaXlRiUQCgUBgUXdFASMxCAqFgsUoIqIckXEx6oILLkBrayu2bNmChx9+GLt374YkSWhra8Nbb72Fhx9+GNdeey06OztxwQUXZHPMtIxNtpIeMLKaniAIC1qMUqvVKCkpka8uZjszzWKxTNmizmIUUbpoNIrm5mZ5Rcrq6mpYLBb09/ejt7cX9fX1Y6at6PV6FBYWor+/H0VFRcyOIqIlS5IkOS/q6N91oVAI8Xh8XvKienp6sH//foiiOOPnqlQqKJXKSS/IERHR0pFxL+7KlStx1VVX4Q9/+AMee+wx+f4777xTvi0IAq6++mrU19fPbpRE/7+mpiYAI0HehYWFaY9JkoRYLAaVSgW9Xr8QwwMw8v/ebDbD4XCgu7sbra2tSCaTY8LWM2W329Hc3DzpPg0GA68cEv3/4vE4jhw5Ap1OB7/fj8rKSthsNvT09GBwcBCNjY0Trr5ZUlKC/fv3w263Q6lUyt1RXFmPiJaSaDSKaDQqv0cZLRAIIJFIzHlnVCKRgNPpRH5+Pnw+HyorK9M6tKZDrVazQ5WIKEfMarmxjRs34qabbsL69euh0Wjk+zUaDY4//nj86Ec/wjnnnDPrQRIBwNDQEIaGhgCMFEOPfgMTj8eRSCQgCMKC55QZDAaUlpYCGHkD2N3dnbV9WywWiKI46ZsxvV6PUCjEEHNa9pLJJJqbm6FUKhEKhVBWVoa8vDx0d3djaGgIK1asmLAQBYxciS8rK0N/fz+Ki4vZHUVES1IqL8pgMECtVqc9Njg4CKVSOefFKJfLBZPJhPXr18Pv96Onp2fG+9Dr9YhEInMwOiIimm+zTilcuXIlvvOd76StbmE2m6FQzKrORTTGwYMH5dvj5UUFAgGIoghJkha0MwoYyTU4OjeqqqoqK/vWaDTQ6/Vwu91yvs3R9Ho9RFFELBZb0DB3ooUkiiJaWlogiiISiQSKi4tRWFiIzs5O+P1+rFixYlqvj/z8fAwODkKSJKhUKgwNDaGkpITdUUS0ZPj9fjkv6mhDQ0MwmUxz+t49mUzC5XKhrq4OWq0WDQ0NOHToEFQqVdr7pakYjUaupkdElCOy9ldHoVDAarXCarWyEEVzYnQxary8KL/fD4VCIV/5W0hGo3HOVtQDIOfeTEShUECn0zE3ipYtSZLQ3t6OaDSKRCKB/Px8FBUVoa2tDYFAAI2NjdMu1KbCzAcHB5Gfnw8A6O3tncvhExFljSRJ8Pl8SCaTY6boxeNxBIPBOe+KGhwchFarlY+v0+nQ0NCA/v5+uet9OqxWKxKJBJLJ5FwNlYiI5knGVaO77roLR44cmfDx119/HV/96lexZcsWfO1rX8v0MESyqcLLU6vEaDSaBS+ImkwmFBUVyV8zxJxo/kiShO7ubvj9fkiSBJvNhpKSErS1tSESiaCxsTFtavl0GI1G5OXlIRKJQKPRYGhoiLklRLQkRCIRxONxCIIwpqMzGAzOeV6UKIpwuVxwOBxpEQsGgwG1tbXo7OyEx+OZ1r4KCgqmjCogIqKlIeNP7K+99hp++MMfYufOneM+vnLlSnz1q1/Fpz71KbhcrowHSJQyujNqxYoVYx4PBAJQqVQz/pA5F/R6fVrbebaLUXa7HcFgcNLVaAwGA8LhcFaPS7QUpK60p4J6y8rK0NLSgkQigcbGxjF5KdNVWlqKcDgsL4vO7igiWgpSneNms3nMwieBQADJZHJOV9Jzu90QBAE2m23MYxaLBdXV1XLX6lRS+3C73VkeJRERzbdZtY9IkoRHHnkEP/rRj8as3GWz2bB69WqupEdZIYqiPNWtqqpq3IDycDgMhUKxKDKS1Go1LBaL/OYu29P0Um3qk3U+GQwGBINBhpjTsjIwMIC+vj4oFAoYDAa5EAUADQ0NUKkyj0pUq9UoLS1FKBRidxQRLRmpvKijp+gBI78zlUrlhBmUsyVJUtoCEOOx2+0oLy9Hc3PzlB3dRqMRgiCwGEVElANmVYy6/vrr4XA4sH//fnz729/G22+/na1xEaXp7OyUu3zGm6IHjLShp7KSFpogCNDr9SgrKwMwkpWQzTdOWq0WWq120n3q9XokEgnE4/GsHZdoMXO73ejq6oJKpYJOp0NlZSVaWlqgVCpRX18/piMgE4WFhfL+AWZHEdHilsqLSiQSY4pRkiRheHh4Thce8nq9SCaTct7eRAoLC1FcXIzm5mZEo9EJt9NoNFCpVNOe1kdERIvXrP7y1NbW4rbbbsNpp50Gv9+Pn/70p7j//vuRSCSyNT4iAMChQ4fk21MVoxZ6Jb0Ug8GAkpIS+etsTtUTBAFGo3HSEHOlUskQc1o2/H4/2tra5Km6FRUVaG5uhkajQW1tbdY+aKXCzMPhMDQaDQYHB9kdRUSLVjgcRjweh1qtHtNVHovFEA6H5zQvyul0oqioaFq/gx0OB2w2G44cOTLphTS1Ws3fu0REOWDW7851Oh22bNmCLVu2QKfT4ZlnnsH3vvc9Xi2mrJoqvDyZTMpvXBZLMeroFfWynRtltVrh8/km3Ya5UbQchEIhNDc3Q6VSQaVSoaKiAi0tLdDr9VktRKWYzWbk5eXJnVb8e0dEi1UqLyqVdTfaXIeXBwIBhMNhFBQUTGv7VLHfYDCgubl5whXztFot39sQEeWArL1DP+2003DbbbehtrYWHR0duP766/Hcc89la/e0zI0uRq1atWrM46FQSM5GMhgM8zauyRy9ol62c6NsNhsCgcCkmVBcUY9yXTQaxZEjRyAIAhQKBSoqKtDa2iqH4k6UUTJbZWVlEEURSqUSAwMDvEpPRItSauXd8fKi5jq8vL+/X57aPF2CIKC6uhoqlQotLS3jLtRiMBgQi8WyOVQiIloAWb1c7HA48F//9V8477zzEIvF8Nvf/ha/+c1vsnkIWqaampoAjGQF1NTUjHnc6/VCEASIojhuuPlCMBqNc16MisfjiEQiE26j1+tZjKKcFY/HceTIEUiSJBei2traYLfbUVFRMWeFKGDkd1FpaSkEQYAkSeyOIqJFRxRF+Hw+JJNJWCyWMY+7XC6oVKpxC1WzFQ6H4fP5UFhYOOPnKhQK1NbWQhRFtLe3j7noZrFYkEgkJuycIiKipWFWxahdu3bhpZdeSrsirFQqceWVV+J73/seLBYLjhw5MutB0vIWjUbR0dEBAKivrx/3CluqDX2xBJgDI1NY8/Ly5NX9sl2M0uv1UKvVk4Z4pq4eMseNck0ymURzczPi8TgEQUBZWRna2tpQWFiIsrKyOS1EpRQVFUGv10OhULA7iogWnVAohHg8Dr1eP2al4Xg8DrfbDavVOifh5f39/cjPz4dGo8no+UqlEnV1dQiHw+jq6korSBUUFEAURU7VIyJa4jL+67Nq1Srs3r0bL774otwCPNqxxx6L22+/Hcccc8ysBkh05MgR+erXROHlgUAASqUSWq12zlaEmSmNRgONRoPy8nIAQEdHR1bbylMh5pMVo1QqFbRaLbujKKeIooiWlhb5/3VpaSm6urpQUlKCkpKSeSlEASNX7ysrKwGMFMfYHUVEi0nqQp3ZbB7zezG1yp3NZsv6caPRKNxud1puZibUajXq6+vh8XjQ19cn35+XlwdBELK6SjEREc2/6U/iPspNN9005TZWqxXf//73MTg4mOlhiNJW0hsvLwoYufqnVCozvgI3FwRBgF6vR1lZGVpaWpBMJtHZ2Yn6+vqsHcNisUy6oh7wf1P1xmvRJ1pqJElCW1sb/H4/BEFASUkJuru7UV5entF0kNmyWq0oKipCT08PXC4XSktLYTKZ5n0cRERH8/v9kCRp3L//w8PDiMfjcxJe7nK5YLPZstKprtVq0dDQgKamJqjVahQWFspxDG63GxUVFbM+BhERLYw5byGJRCJ48cUX5/owlMOmWkkPGMkmSHVGLSYGgwGlpaXy19meqme1WhliTsuGJEno7OyUr4YXFRWhr68PlZWVC1KISqmoqIBarUY8HkdPT8+CjYOIKCWVFyVJ0phMKFEU5QvFJSUlWT1uIpHA4ODgrLuiRtPr9aivr0d3dzeGh4eh0WigVCrZGUVEtMTNSzFqx44dc30YymHTKUZFo9FFlReVYjAY5jTE3G63IxaLIRqNTjoGFqMoF/T19cHpdAIA8vPzMTAwgOrqauTn5y/ouLRaLaqqqiCKIlwuF7OjiGjBBYNBJJNJmEymMV3jPp8PwWAQeXl5We8od7lcMBqNWV9MxmQyySt2BwIBqFQq+Hy+rB6DiIjm17Sn6e3fvx9vvPEGzjrrLFRXV+NXv/rVtJ7HpVdptlIr6Vmt1nGv4CWTScRiMWg0mkVXjDKbzWkflLNdjDIajVAoFPD5fBN+7waDAdFoFMlkEkqlMqvHJ5ovAwMD6O7uhiAIsNvtcLvdqK2thdVqXeihARjpLujp6YHX60VPTw9WrFix0EMiomUslRc13hQ9j8eDaDSK2trarB4zmUzC5XJlfb8pVqsVlZWVaG1thUajmXQ1YSIiWvymXYy64447EAwG0draiv/6r//CSy+9NJfjIgIw8obJ5XIBGOmKGi+YOBKJIJlMQhAEGAyG+R7ipIxGY9r0oWwXoxQKhRxiProDazS1Wg21Wo1QKDQnyzcTzbXh4WG0tbUBGCnw+v1+1NfXL6r/zwqFAvX19XjrrbfQ39+PsrIyZkcR0YLx+/1IJpNjfk9KkgSn04lkMomysrKsHnNoaAharXZOfzfn5+cjkUjg8OHDvOBNRLTETbsYdd555+HVV1/FRz7yEfm+q666asoP/6FQCA888EDmI6RlbXR4+WQr6QmCgGQyueiKUTqdDjqdDsXFxXA6nWhpaYEkSVld7ctkMk0ZYp6aqreYPrwTTUcgEEBLSwtEUYTJZEIkEkFDQ0PWp4Bkg91uR3FxMXp6etgdRUQLRhRFeL1eeSW90QKBAHw+H+x2e1a7yUVRhNPpRFlZ2ZyvaFpcXAyr1Yqenh65M56IiJaeaRejLrroIlx00UVp933wgx+ccoqEx+NhMYoydvDgQfn2RMWoVCu6KIqLrhiVCtmsqKiA0+mEz+fDwMDAhF1MmbDZbHLXyEQMBgPC4XDWjkk0Xzo7OxGNRmEymZBIJNDY2LjoXucpgiCgsbER/f396OnpYXcUES2IQCAAURRhs9nGTM/3er2IxWKorKzM6jHdbrc8jXoykiRNuujKdFVWVqK7uxv79+/HunXroFJlvEA4EREtkIwDzG+88cZpvck2mUy48cYbMz0MLXP79++Xb69atWrcbfx+P1Qq1aIMMBcEATqdLq0Vfi5CzCORCOLx+ITbMMSclqJQKIS+vj6oVCoIgoCVK1cu2kJUil6vR01NDYLBILq6uhZ6OES0DPn9fgiCMCYvSpIkuFwuxOPxrE7RS039Ky4unrIrqqurC3v27Jn0Pct05OXlQRAEJBIJuXuWiIiWloyLUatXr55WGLIoihgYGMj0MLTMje6MmmjKSzAYhFKphEajgUIx5wtEzpjRaEwLXs92McpkMkEQhElXlTEYDIhEInyzRktKb28votEotFotVq5cueiKzROpq6uDTqdDV1cXV9Yjonnn8/kgiuKYKXqRSARDQ0OwWCxZ7dr0er1IJBJTrmwai8UwODgIjUaDQ4cOzapj22g0QhAEaLVaAEBrayvf4xARLTFz/sk9FApNe+U9otEkScKRI0cAAGVlZeOuCAOM/B9TKpXyG5LF5ugQ85aWlqzuX6VSQa/Xw+12T7iNWq2GUqnkVD1aMuLxOLq7u6FWq1FTU7NoX9/jUSqVWLlyJYLBIDo7Oxd6OES0jCSTSfh8PqjV6jHZeh6PB7FYDMXFxVk9ptPpRFFR0ZQXBJ1OJ6xWK9auXYv8/Hw0NTVNeiFtMgaDAQqFAl6vF3V1dYjFYujs7MzKFEAiIpof05pgPZuV8zg1iDLV09ODYDAIYOK8KACIRqNQq9WLNsDSaDSmXS3MdjEKGFlhbLIQ89RKg6FQaFEGPxMdzeVyIRQKoaioaMpswsWovLwcLS0t6OjoQGVlJbOjiGhe+P1+iKKI/Pz8McWhoaEhxGIxlJeXZ+14gUAA4XAYdXV1k24Xj8cxODgor4xcWloKtVqNlpYWVFZWTtlVdTSFQgGVSiVHNdTX16OpqQk9PT1Z/f6IiGjuTKsYxc4mWgijp+hNlBclSZI8jUev18/X0GbEaDTCbDbDaDQiGAxmfZoeAHlVmckwN4qWClEU0dHRAYVCgYqKijlfmWkuCIKAtWvX4uWXX0ZbWxvWrVu30EMiomUglRd19BS9WCwGp9MJk8mU1QJ/f38/CgoKpgwQd7lcMJlMabl/BQUF0Gg0aG1tRSwWg8PhmNHve61WK7+v0Wg0aGhoQFNTE9Rqdda7v4iIKPumvfTEKaecklHnSTQaxeuvvz7j5xFNZyW9WCyGZDIJQRAWbTFKp9NBEARUVlbi4MGD6O7uRjgczup4bTYbjhw5gkQiMeEbQr1eD6fTmbVjEs0Vt9sNn88Hk8mEgoKChR5OxgoKClBSUoL29nbU1NSwO4qI5txEeVFerxfRaDSrweXhcBg+n2/KlfkSiQQGBgZQX18/5jGLxYIVK1agubkZ0WgUlZWV087/1Ov1aV3hOp0ODQ0NOHz4MFQq1Yy7rYiIaH5Nuxj1uc99LqMrKR6PZ1EUox588EH89a9/xVe+8hWcccYZCz0cmobRK+lNVIzy+/0ARjopFmu4sVarhVKpREVFBQ4ePAhJktDa2oo1a9Zk7RgWiwWSJCEQCMBms427jcFgQDgchiiKizLonQgY6Xbs6uqCKIqoqKiY1kIZi9natWvxr3/9C01NTTj++OMXejhElMMSiQS8Xi/0ev2YC17Dw8OIRqNZncLW39+P/Pz8KS9WDwwMQK/XT1iQ1+v1WLFiBVpaWtDc3Iza2topO62AkYiCwcHBtPsMBgNqa2vR0tICpVI54XsiIiJaeNP6RLpp06aMP+jrdDps2rQpo+cCI50v27dvx//7f/8PW7duxXe+8x289dZbM9pHf38/nnzyyYzHQAvj0KFDAEYCuifKIggEAlAqlUgmk4s2CynVtTX6amS2p+qp1WrodDp4PJ4Jt9FqtVAoFIhEIlk9NlE2BYNBuFwu6PV6OByOhR7OrJnNZlRVVaGzszPjoF4ioulIXaCz2Wxp092SySR6e3uh1+tht9uzcqxYLAa32z3ldLhkMgmXyyX/PpckadyQcY1Gg8bGRigUChw+fBjRaHTKMeTl5UEUxTGLs1gsFlRXV6OtrY0rmhIRLWLTKkZdfPHFGa9kpFKpZtUBcs899+Ctt97CLbfcgttvvx2bNm3C7bffjrfffnva+9i2bRuOO+64jMdA8y8Wi6GtrQ0AUF9fP+FVN7/fD4VCgWQymZZDsNgYDIa0N2zZDjEXBAEmk2nSYlSqKMYV9Wgx6+npQTweR2lp6ZJaQW8yq1atgkKhSOv2JCLKtlQx6ugpej6fD+FweFor3k1XamW8qS5WDw4OQqPRyCsid3R04M033xz3wphSqURdXR1MJhOamprkRWwmkup6Gu+9j91uR3l5OZqbm5mXSUS0SM35XJ1AIICbb745o+ceOHAAr7/+Oi6++GL5j9gJJ5yAdevWYdu2bdNavnXPnj1wOp0499xzMxoDLYyWlhYkk0kAk6+kFwgEoFaroVAoFvUHV6PRmJZ9M1ch5qk3ohNhiDktZrFYDN3d3dBqtSgtLV3o4WSNXq9HfX09ent7MTw8vNDDIaIc5fV6IUmS/J45JTVFL1u/VxOJBAYHB6fsXhVFEU6nUw4mD4VCGB4ehs1mw6FDh8YtIgmCgIqKChQXF+Pw4cOTXmRLfZ8TbVNYWIji4mI5j4qIiBaXaWdGTcTj8WDv3r0YHh5GIpEY8/hspgTt2rULwEjmxmjr1q3De++9h5aWlnHDEFMSiQQeeOABfP7zn1/yuSPLzXTCywEgFApBpVJBpVIt6hwkk8kEm80mTynMdmcUMHKFsK2tbdJMKIPBMCZfgWix6O/vlz8w5VrYd11dHdra2rBv3z6cfvrpCz0cIsox8XgcPp8PZrM5rZtcFEX09vZCo9GgqKgoK8dyuVwwGo1TxiMMDQ2l5Tb19PSgqKgIjY2NiMfjaGtrg8PhGLOKniAIKC4uhlqtRltbG8rLy1FYWDhm/waDAQqFAm63e8IxOBwOxONxtLa2YuXKlUtydVYiolw1q2LU3/72NzzyyCPjFqGyoaOjA3q9fswVntR0p46OjkmLUU8++STKyspwzDHHzGh6RDweRzweH/ex2a7alq0/gqn95Oof1QMHDsi3V61aNeH3GYlEoFKpoNVqF/XPwmg0QqFQoKysDJ2dnWhpaYEkSXLRKBtjt1qtEEURwWBwzGtm9Di6urqydkz6P7n+mpxroiiis7MTKpVqRqspzYW5OJepgN69e/fKnQI0d/h6zC08n1NLZSPZ7fa0n1MwGITf70dRUVFWLswmk0kMDAygtrZ20vMhSRKcTidKS0uhUCjg8/kQCoXkDND8/HzodDq0tLQgFAqhpqZmzPjy8/Oh1WrR3NyMWCyGsrKytGOq1WoolUr4fL4Jx5LqtNq7dy8CgcCE749o+vh6zC08n7ljKZ7LjItRb731FrZv345169ahoaEBjz/+OD7ykY/IV7OHh4fxzjvvIBAI4LzzzsvoGD6fb9wcoFQxaLIwWLfbjSeeeAI/+clPZnzcxx57DI8++ui4j9XU1OC2226b8T6BkSJatju0cvUDzejOodNPPx0lJSXjbpdavthms024zWJgtVrx7rvvor6+Hp2dnQiHw0gmk3KoeTbOoyRJsFqtUCqVE/4sJElCd3c3bDbbos7YWspy9TU513p6ehCLxVBSUoLVq1cvik7HbJ9Lu92Onp4eNDc349hjj10U32Ou4+sxt/B8Tszn88FoNKK2tjatiyg1fX/t2rVZeZ/U3d2NwsJCNDY2TvqBx+l0wmKxyLmxPT09WLNmjbyaX+pcVlZW4sCBA+jt7cXatWvHfW9SXl6OvXv3wu12Y+XKlWnvpY1GI+Lx+JTfWzweh9frxYoVK2b8PdP4+HrMLTyfuWMpncuMi1H/+Mc/cPrpp+MrX/kKAOCpp57Cxo0b00KaI5EI/vu//3tBPvT+6U9/wtlnnz3lKh/jufDCCycsoM2m0uh0OrPaGeVwONDf3z+t7KylZu/evQBGQjjVajX6+vrGbBOPxxEOhxGNRpFIJMbdZrEQRRGJRCKtRf7VV1+FRqPJ6nlUKpVobW2dtHVeFEU0NTUtqV9US0GuvybnkiRJePvttxGNRpGfnw+n07mg45nLc1lVVYV33nkHr7/+OmpqarK6b/o/fD3mFp7PqbW1tSEUCiESicjvhyRJwvvvv49EIgGNRjPr90miKGL//v0oLy9Hf3//hNtJkoQDBw6gqKgI/f39GB4extDQEEpKStDf3z/mXBYWFqKnpwcvvvgiampq5Gl9o5WWlqK5uRkulwt1dXVQq9UARrqj/H7/lN+bUqlEd3f3tKYX0uT4eswtPJ+5I9vncj4aPTIuRrW1tWHz5s2TbqPT6bB582b8/ve/xwUXXDDjY5jNZnlK0Wip1cAmarVtamrCgQMHcOedd874mMDIH7bUH7lsy/aLfKIlcpcyn88nv8lJXcEa73sMBALy96/T6Rb1z0EQBOh0OrkTChgJMT/jjDMAZO88WiwWuN3uSfdVUlKC5uZm2O32CVcppMzl4mtyrvl8PgwNDcFgMKCwsHDR/Pzm4lyWlZWhpaUFhw4dQllZ2Zz9raERfD3mFp7P8cViMfh8PuTl5UGpVMo/o1AoBLfbjcLCwrT7MzU8PAxBEGCz2Sbdl8fjQSKRQF5eHpLJJHp6elBSUgJBEOTnHX0uy8rKoNfr0draiuLiYnn7FKVSiYaGBrS3t+PQoUOor6+HTqeDyWTC8PDwlN+bUqlEQUEB+vv7UVtbO6ufA43g6zG38HzmjqV0LjMuRkUiEdjtdvlrpVI57ipdeXl5k149mUx1dTUOHz4Mv9+ftkxt6qp5VVXVuM979913oVQqccMNN6SNFwAeeeQRPPXUU1izZg0++9nPZjQumlvvv/++fHuqlfQUCgWSyeSscrzmi16vT2udn4sV9Ww2G7q7uycNMU9Na+zu7uYbMloUurq6kEgkUF5envPFGY1Gg4aGBrz77rtoaWmZ9HccEdF0pKbiWa3WtPu9Xq88/Xm2UhlQxcXFU2ZF9ff3o7i4GAqFAi6XC4IgID8/H8lkEp2dnYhGo+OugJyXlwe9Xi/nSFVXV0Ol+r+PKgqFAjU1Nejt7cWhQ4dQV1cHu92OtrY2xGKxKS+wFRUVYf/+/YhEItDpdJn/MIiIKCsyLkbl5eXB4/HIy9VbLBY0NTWNmXYwOoh6pk455RQ8++yz2LdvH0499VT5/vfffx/FxcVyCKIoivD7/fIf4c2bN4/p2tq/fz9uvvlmbN68We5GocXp5Zdflm+vX79+wu18Ph9UKhXi8fiSyD8yGo3Iz8+Xv56LYpTVakUikUA4HJ60Db2srAwHDhyAz+djmCctqNSUEp1Ot6hz37KptLQUra2taG9vR3l5ec6tHEhE88vr9UKSpLQLtwDQ29sLSZJQWlqalWMkEom09zHj8fv9iEajKCgoQDKZRF9fH6qqqhCLxeQ80J6engmnKev1eqxcuVLugKqrq0u74CgIAsrKyqDRaNDc3CxfwHC73VNGc2i1WtjtdrhcLlRWVs7k2yciojmQcXpqRUUFnnzySfnrhoYG7NixA6+99hqCwSCCwSBeeeUVbN++XQ4rnKk1a9bg5JNPxo4dO+Sw8j179mDv3r246qqr5Csz9913H774xS+iqakp02+HFpHRxajTTjttwu0CgQDUajWSyeSSmP9vMpmgVqvlLITRIe3ZotfroVKp4PV6J91Oo9GgpKQEXV1dEEUx6+Mgmq7e3l5Eo1E4HI4lUVTOBrVajbq6OsTjcTQ3Ny+ZVmoiWnwkSYLH44FKpUorbMdiMbhcLhQUFGRlSr7T6URRUdGUCy/09/fLK/c5nU7odDooFAocOnQIJpMJq1atklfXm4hKpZK7npqamuB2u8dsU1hYiNraWvj9fkiShOHh4Wl9H8XFxRgaGppw1WwiIpo/GXdGnXTSSfj1r38Nr9eLG2+8ERs3bsSrr76Ku+66a8y2n/vc5zIe4JYtW7Bjxw7ccMMN8hKuW7duxQknnCBvY7VaYTQax52q1d3djf/5n/8ZM03vyiuvxDHHHJPxuGhu+P1+7Nu3DwBQV1eXlrF0tFAoBKVSCVEUl0T2kcFggCRJqK6uxrvvvgun0wm/35/VbhCFQgGTyQSPxzPlldDCwkIMDQ1hYGAgo6B/otlKJBLo6uqCWq2e9LWei1LdUU6nE4ODg2lTeImIpisajSIYDI4pFHk8HsRisawsVhIIBBAOh+UZCZNtFwqFUFtbi3g8DqfTifz8fLS0tKC8vByFhYUQBAFFRUXyansTSXVAGQwGdHR0IBQKobS0NG2KoNVqxerVq3HgwAF0dXVhxYoVUxbLDAYDTCYTXC7Xsvu7Q0S02GRcjDr55JOh0WjkOd+1tbX42te+hvvuuw/BYBDASPfFxRdfjA996EMZD1Cj0eDyyy/H5ZdfPuE2403LSykvL8fPfvazjI9P82vXrl1yp85kXVHASJC9SqWCIAhLYol0vV4PSZJQVVWFd999F8BId1RjY2NWj2M2mye94piiUChQUVGBlpYWhpnTghgYGEAgEEBxcfGYrJNcp1KpUF9fj71796K1tRV2uz0tG4WIaDomyotyOp1IJpMZz04Yrb+/HwUFBVP+jurv70dhYSFUKhU6OjoQj8fhdrtRX18vTyH0+/3yRbNkMgmlUjnpPu12O3Q6HVpaWhAOh8fkSFmtVmg0Gvj9frS0tKC2tnbKfTocDrS0tMDhcEy5LRERzZ2M3/nqdLq0HCcAOPXUU3HSSSehs7MTkiShoqKCH3BpRp5//nn59oc//OFJt00FYC6VD3AajQZKpRIVFRXyfXMVYu50OiFJ0qQho8BI4cpisUya30A0FyRJQnt7O5RKJcrLy6f8v5qLSkpK0NLSgkAggN7eXmaYENGM+Xy+MXlRiUQCfX19yMvLm3VQdzgchs/nm/L3UygUgt/vR1VVFQKBAA4fPoyioiKsXLlSvnD99NNP4//9v/8HURRx9913o7KyEnl5eVOOYaocKa1WK/8NaWpqQn19/aSfP0wmE3Q6HQYHB9kZTkS0gLLeTqJSqVBbW4u6ujoWomjGXnnlFQAjqzOecsopE26XTCYRj8ehVCqXzIooCoUCOp0urWV+rkLMY7GYPDV1KuXl5fB4PPLVVaL54Ha74fF4YDKZlu0UNaVSifr6esTjcfT09Iy7Ii0R0URSWUk6nS4tc8/n8yEcDmdlil5qqt1U7+lT3VPJZBJvvfUWzGYz1q5dKxeiHnjgAXzxi19EMBhEOBzGP/7xj2nnPAH/lyOVl5eHQ4cOpT1Xp9MhGo2irq4ORqMRhw4dmvT3qSAIKC4uhsvlYm4mEdECmvO5TR6PZ8IpdESj9fb2or29HcDIKnqTZQmEw2GIoghBEJZMMQoYySpIrUAJzE0xymg0QqlUTmuqHsAwc1oYoztoJ5smkVodMlc5HA4YjUbE43F0dXUxzJyIpi0SiSAcDiMvLy+tu9TlciGRSMx6il4sFsPw8PCU3UORSAQejwd6vR579+6FIAhYv349lEolJEnCT3/6U3zve99Le4/x/PPPY3h4GIlEYtrjEQQBpaWlqKmpQWdnJ3p6eiBJkvw7VKFQoLKyEoWFhTh8+PCki7nYbDYIgjBuODoREc2PWc9vSi3bGggExv0gGwgEZnsIWiamu4oeMPL/ShAEiKK4pIpRRqMRZrMZarVaXkkr25RKJQwGAzwez7Tbz4uKihhmTvMmFArB5XJBr9dPeeW+o6ND/pBjt9uRl5cnX2nPBUqlEnV1ddi3bx98Ph+Gh4enXDqdiAgYPy9KFEV0d3fDYrGkra6XCafTCavVOuX7rL6+PigUCnR1dcl5eFqtFolEAtdffz0efvhheduioiK4XC643W4cPHgQNTU1M+6OtdlsWLlyJVpaWhAKhWCxWNDZ2YlYLCZfYNNqtWhtbZWD04+W6o5yOp1jinlERDQ/Mi5GJZNJbN++Hc8999y0pwMRTeaFF16Qb0+VF+X3+6FUKpFIJJbUcvAmkwnxeByVlZVoaWlBW1vbjK4KTtd0Q8xTUmHmra2tyMvLg1qtzvqYiFK6u7sRj8dRVVU1aWHJ7XZj27ZtiMVi+MxnPoNgMIi+vj4YDAbk5eXBbrfnxP/VVJhuPB5Hd3c3bDYbQ3WJaEqpzp/ReVGBQADBYHDKle+mkkgkMDg4OOUiK+FwGG1tbbDZbCgpKYHL5UJxcTFCoRC+9KUv4bnnngMwUvy5+eabUV5ejquvvhrAyKI1GzZsyGiqtk6nk3OkQqEQJEmCx+NBUVERAMjvZVpaWhCLxcasxAcA+fn56Ovrg9frhc1mm/EYiIhodjKepvfQQw/hqaeeQiKRQFVVFVatWoXVq1eP+ZftlcIoN4miiF27dgEY6R5av379pNv7fD5oNBrEYrElVYwyGAyQJAnV1dUAgHg8jra2tqwfx2q1wu/3z2jKj8VigcViQXd3d9bHQ5SSmo6m1WpRWlo64XaiKOLHP/4x7r//fvzpT3/Cpk2bsGfPHhxzzDHIz8+H2+3Gvn37cOTIEQwNDSGZTM7jd5FdCoUC9fX18ofI3t7ehR4SES1ykiRhaGgIBoMhrag/ODiYlSl6AwMDMBqNMBqNE24Tj8fxzjvvQK1WY82aNXC73XA4HPD5fLjkkkvkQpRGo8GvfvUrfP7zn8eZZ54pF35eeOEFuN1uRKPRjMaoVCpRW1uL4uJiSJI05nen2WzGypUr4Xa70dXVNeb5CoUChYWFcDqdGR2fiIhmJ+POqH//+9844YQTsGXLlrQVLY7m8XhwzTXXZHoYWiZGh1GecsopU3Y7hEKhJVmMSrW6V1VVyfcdOnQIJ5xwQlaPY7fbcejQIcTj8RktJFBeXo79+/cjEAjMur2faDz9/f2IRCIoLS2d9P/YQw89lDa1w+fz4dprr8XTTz+NO+64AytWrJDzTJxOJzo6OmC1WpGXlwer1QqFYs4jEbOquLgYQ0ND6Ovrw+HDh5Gfn7+kfrcR0fwKh8OIRqNwOBxyx48kSejs7ITBYJhVp48oinC5XJOushsKhXD48GFEIhGcdNJJCAQCSCaTCIfD2LRpE1pbWwGMFITuv/9+eQVurVaLiy66CPfffz+CwSD279+P6upqlJSUZDRWQRBQXV2N1157Dd3d3SgoKEBZWZn8M9HpdGhoaMD+/fvhcDjGvCcqLCxEf38/3/cQES2AjN+th0IhXHzxxZMWooCRPwKbNm3K9DC0TLz00kvy7amm6AEj//9UKhWUSuWSyo/RarVQKBRpVywPHTqU9eOYTCYIgjDjFfJSWQupcGmibBJFER0dHVCpVKisrJwwo2P//v248cYb5f+DDQ0N8mPPPvsszjjjDPzjH/+ARqOBw+HA6tWrsWrVKuj1evT09GDv3r1ob2+XlzxfChQKBVatWoXy8nKEQiG8/fbbS7rbi4jmVurv++jFXkKhEHw+X8aFnZTBwUFoNJq06X+jud1uNDU1yVP8DQYDent74fV6ceGFF8qFKIfDgZ07d8qFqJRPf/rT8u1XXnkFw8PDs/pdrdFooFKpoFKp4PV6ceTIkbQIBK1WC4vFgsHBwTHPValU7I4iIlogGRejKisrp5XVodPpcPHFF2d6GFomXnzxRfn2dIpR0WgUKpUKGo1mSYVOKhQK6HS6tNDmpqamrB9HpVJBp9NltEpMUVERJEnCwMBA1sdFy9vw8DC8Xi8sFgvsdvu42wQCAVx99dXyCnqnnXYa7rrrLnzzm9+Up4sMDQ3h85//PL7+9a/LH8j0ej1KS0uxZs0aNDQ0QKlUor29Hfv27UNXVxcCgcCiL0wplUqsWLECDQ0NcLlceO+997jCJRGNy+PxQBCEtILR0NAQ4vE4ysrKMt6vKIpwOp0oLi4e8/4qNRWuo6MDlZWVSCaTKCkpwcDAAN577z18/vOfh8vlAgDU19fj8ccfx+rVq8cc48wzz5Rzol5++WV4PJ5ZrZqqUCig0WgQjUaxcuVKKJVKHDx4EKFQSN6msLAQg4OD4/5OLSoqgtfrZQYuEdE8y7gYdemll+Lvf//7lNt5PB5s3rw508PQMhCNRvHmm28CGLmKVl9fP+n2kiQhFostua6olFT4cspcdEYBI1dLJ1vWeCKpK529vb2Ix+NzMDJajiRJQkdHh7z09njT6CRJwhe/+EU5t6y2thbf/OY3sW7dOmzZsgU7d+7ESSedJG//l7/8BaeffnpaZ6UgCDAajaioqMC6detQXV0NURTR3NyM/fv3o6enZ1YfeuaaQqHAihUrUFdXh/b2duzfv58dUkSUJpUXZbFY0i4Mp/L4ZrMip9vthiAIYy4YJJNJtLa2Ynh4GCtWrEA0GoXRaIROp8NDDz2EH/zgB/IK2ieccAIee+yxCXOrlEolzjvvPAAj7wHfe+89OaohUzqdDuFwWM6RKigoQFNTE4aGhgCMvCdSKBTweDxjnqvRaJCXl8fuKCKieZZxMWrdunU45ZRTcMcdd+Bvf/sbdu/ejQMHDoz5d/jw4WyOl3LQW2+9JYdXnnbaaVN2OkUiESSTSbnLaKlJdXekrgq+//77iMViWT+OxWKZ8TS90c81m83o6enJ8qhouQoGgxgYGIDBYJBXOzraz372M7mwZDabcf3116O8vBwdHR3o7++H1WrFPffcg+9///vyFHGn04nLLrsMX/rSl9DU1ASv1ysXbwRBgMViQVVVFY455hiUl5cjGo3i4MGDOHDgAPr7+zMOzp1LgiDgmGOOQXFxMTo7O7F///45WXWTiJamYDCIaDSaVnSKRqMYHh6Gw+HIODNPkqRxu6JisRiampqQTCaxcuVKaDQauFwuOBwO/PznP8fPfvYz+eLVOeecg4cffjjtott4PvnJT8q3X3rppVlP1TMajfIYBEFASUkJamtr0dXVJYeXp7qjxpPK7ZuL92NERDS+jAPMRVHEnj178O6772L37t3ZHBMtMzPNiwoEAhAEAZIkLcnOKLPZjM7OThx33HH45z//Ca/Xi3/84x84//zzs3ocu92O5uZmxOPxaU2pPVpFRQX279+PgoIChnrSrHV2diKZTKK8vHzc/4/PPvss7r77bvnr7373u1i9enXa1f9kMolEIoFzzz0Xa9aswa233oq9e/cCAJ544gm88cYb+OxnP4v6+nrodDoYDAYYDAao1WoolUoolUooFArY7XaEw2F0dXXh8OHDMBgMsNvtsNls0Gq1UCqVC94VqFAocNxxx+HNN9+Ey+VCMpnEmjVrZrQgARHlJp/PJxfbU4aHhxGLxWY1Rc/n8yGRSKQVuQKBAFpaWmCz2VBRUQGFQgGn0wmNRoPbb78dv/vd7+RtL7/8cvzkJz+BSjX1x4sTTjgB5eXl6O7uxmuvvQaPxwO/35/2Pc2E1WpFd3d32nseq9WKlStXorW1Fe3t7aioqJC7Y4/OvNXr9bBYLBgYGJjVz5CIiKYv486oxx57DE899ZS8TP2qVauwevXqMf8aGxuzOV7KQaPzok477bQpt/f7/VAoFEgkElMG6C9GBoMBkiThU5/6lHzftm3bsn4cs9kMSZIQDAYzen4qHJph5jRb0WgUvb290Gq14wbrtra24utf/7r8/+zLX/4yjj32WLmIVFlZidLSUlRUVKCqqgq1tbU4/fTT8dRTT+Gmm26SOyRdLhduv/12vPHGG6ioqIDRaEQoFEI4HIYkSVCr1dDr9dBqtTCbzSgsLJRXourq6sKbb76J3bt3491338Ubb7yx4NPjjEYjamtrYbPZ4PF4sG/fvkXZyUVE88vtdkOpVKZdKOru7oZKpUJxcXHG++3v70dhYaHcWTU4OIgjR46gtLQUVVVVUCgUEEUR3d3duPPOO9MKUVu3bsVtt902rUIUMNK99IlPfALAyBTAd955J6Ocy5S8vDxIkjQmnkCn06Gurk7ed15e3oSZmA6HAwMDA+xEJSKaJxl3Rr3wwgs48cQTsWXLlkmnSnk8HlxzzTWZHoZynNvtxoEDBwAAq1atkqeuTcbv90OtViMWiy3Jpc9T3Vyjrwq+/vrrOHToEFauXJm146jVami1Wrjd7oyXeE61rQ8MDEw4tYpoKn19fYhEIqipqRnzmg0Gg/jc5z4nTyk966yzcN5558HhcKCvrw/19fUTTt1VKBT4whe+gDPPPBPf+MY38M4770AURfzud7/DK6+8grvvvhsnnHAC/H4/vF4vPB4PJEmC2WyGxWKB1WpN6zSKRqNwu90YHh5Gf38/tFrtgl8hLy0thdvtRlVVFTo7O/Hee+9h3bp1S7IQT0SzJ4oi3G437HY7lEolACCRSMjT6zKdohcIBBAOh1FXVwdJktDd3Y2hoSHU1dWldSt1dHTgxhtvxDvvvANg5Pfwbbfdhssuu2zGx7zgggvwy1/+EsDI54rTTz9d7r6aqVRhzuv1oqCgIO0xrVYLnU4Hr9eLwsJCHD58GGVlZfLPb/Q+dDodBgcH0xaaISKiuZFxMcrr9eLiiy+eMrNHp9Nh06ZNmR6Gctyrr74qd0NMpysKGPnwqtVqEY/Hl2wxSqFQIB6P47zzzsO9994LAHjggQfw3//931k7TmqVnUxCzFNSYeZtbW2w2+0ZTfej5S2ZTKKjowNqtXpMYUeSJHz9619Hc3MzAKC6uhrf/e53oVKpEA6HYbFYEIvF8NZbb8nPGV2YGn37xhtvxF/+8hc89NBDSCQSaGpqwsaNG3HppZdi8+bNUKlUkCQJ8XgcfX19aGtrQzwel1ee1Ol08msTGFmRsrW1FUVFRQv6/16lUqG0tBROpxNr1qzBgQMH5IJUKn+OiJaPYDCIeDyelsnkdrsRjUZnVTx3Op1yEae5uRmxWAwrV65Me5/f39+Pq666Ci0tLQBG3s/ce++9OOecczI65po1a1BfX4/m5ma89dZbcLvd8Hq9E662OhmTyQRBEMYNKAdGogs8Hg/q6uqg0+kwPDw87gXQVEd4UVFRxoU9IiKanox/y5aVlU2rFVen0+Hiiy/O9DCU42aaFwUAoVAIGo0GyWRySRajUsHrwWAQmzdvljsc/vKXv2QcOD4Ri8UCn883q31YrVaGmVPGBgcHEQgEkJeXB6vVmvbY3XffjX/84x8ARvI6fvGLXyAajaKgoAAejwcOhwN79uyRM0DUajVUKpWc/yQIglyQUiqVuOSSS/Dzn/8cNTU1AEYKYdu3b8c3v/lNtLa2IpFIQBAEaLVaWK1W5OXlQafTIRKJwOVyoaOjAz09PRgYGMDAwAD8fv+i+H9fUFAApVKJRCKBY489FvF4HO+9917Wf18Q0eKX+ps+ulupp6cHCoVi3GnQ0xEOh+H1emGxWNDU1ARBEMYUolpaWnD++efLhSiz2YwHH3ww40IUMHJBIRVkLkkS3nzzzYxX1dPr9VAqlRNegLPZbPD5fBBFEYWFhRgYGBg3gsBqtUKpVM56dT8iIppaxsWoTZs24YknnphyO4/Hg82bN2d6GMpxL7/8MoCRfKINGzZM6zmRSET+QLpUw3wNBgOCwSBqampw9tlnAxi52vmXv/wlq8dJBTXPNvumvLwcbrdbXraZaDokSUJ7e7vcYTe6k+mFF17A7bffLn99xx13QKfTyZkdRUVFaGtrg0KhwIYNG3DsscfK/4477jgcd9xxWL9+PdavX48PfOAD8r9PfepTeP755/H1r39dvqrd3NyMb37zm3jrrbewfv16nHjiiTjxxBOxYcMGnHbaafjIRz6CjRs34uyzz8axxx6LsrIy6HQ6xONxtLe3L/jqSoIgoKKiAv39/dDr9TjuuOMgSRLefffdWXU+EtHSMzQ0BI1GI3dGiqKIvr4+FBQUTDuv6WhOpxN6vR6tra2wWq2oq6tLm8K2Z88efPKTn0Rvby+AkSn8v//973HyySfP+vu54IIL5NvPP/88vF5vRplNCoUCKpVqwpxMnU4HtVoNr9eLvLw8xGKxcd/TCIKA4uJiOJ1O5mUSEc2xjItRBoMBCoUC1113Hf72t79h9+7dOHDgwJh/hw8fzuZ4KYd0dHSgu7sbAHD88cdPq8tJkiTEYjGoVCpotdoJs2QWu1SwskajwVVXXSXf/8ADD2T1zY/FYoEoirMuImm1WjgcDnR1dfHNGU2b1+vF8PCwHBae0tHRgS1btkAURQDAF77wBbkYrdFoEI1GYTKZ0NnZibVr1854qoRGo8H111+Pxx9/HHV1dQBGlia/5ZZbsGnTJrS3t495jiAI0Ov1cDgcWLFiBVatWoVEIoFAIICOjo4MfwLZYzKZYLfb0d3dDbPZjOOOOw4qlQrvvfcehoaGFnp4RDQPRFGEx+NBXl6e/P7H7/cjFAplPEUvGo2iq6sLgUAAFRUVKC8vT3tv9a9//QuXXHKJ3CnU2NiIO+64AyeddNLsvyEAdXV1WLduHQBg3759GBoamnCq3VR0Oh3C4fC4jwmCIC8GoVAoUFBQMGGQeV5eHpLJJIv9RERzLOPMqJtvvlm+vX379qwMhpaXVFcUMP0perFYDIlEQi5GLVUmkwldXV1IJBI466yzsGbNGuzfvx+HDx/Ga6+9hlNPPTUrx9FqtfKVwKOnSM1UKsx8cHBwWkHzRJ2dnRBFERUVFfJV9nA4jKuvvlr+sHHiiSdi69atOHLkCOrq6tDR0YGysjLs378fBQUFiMVieO+997BixYopMwqP9oEPfADPPPMMbrvtNtx3332QJAm7d+/G2WefjRtuuAGf+cxnJixor1q1Cvv27UMwGER7ezvKy8sXPDQ89XNJvZ6PO+447N27F/v27cOaNWv4uiTKcYFAAIlEIi0vKjWVuLy8fMb7E0UR77//PhKJBFatWpW2Oh8APPzww/j2t78td1efcMIJ+N73vofa2tox4d/TlUgkxnSbfvKTn8S+ffsAAG+88QaqqqrGhJBPh8FgmLDABIxM1WtuboYoiigoKMCBAwfkaeCjKRQKFBcXo7+/H1ardcle+CQiWuxmlczX2NiI1atXT/qvsbExW2OlHDO6GDXd8PJQKCTfXsrFKIPBAEmSEI1GYbPZ5OWNgZHuqGwRBAEmkykrV/dSU616enq47DFNKRwOo7+/HwaDQV5qXJIkXHvttTh06BCAkQLnb3/7W/T29iI/Px/BYFAOL/d6vWhoaMChQ4cwMDCA3bt3Y3BwcMadeXq9HjfddBN27NiBiooKeWzf+973cNlll02YCWU0GrFixQp5+7a2tkx/FFmjVqtRWlqKrq4uiKIIvV6PY489FiaTCe+//z76+/sXeohENIdSf8tTF5ckSUJPTw/y8vJmHFsgSRKOHDmCoaEhrF+/Pq0QJUkS7rrrLnzrW9+SC1Ef/vCHcc8998BoNCI/Pz+j8YuiiMOHD8t/A1LOP/98+fY///lP+P3+jKZHWywWJBKJCaMJjEYjFAoFAoEAdDodzGYzBgcHx922oKAAkUiE8QRERHMo484oANi6deuU3RYejwfXXHPNbA5DOSiZTOKVV14BMHKl6phjjpnW8wKBAARBQCKRgNlsnsshzqlUIS0SiUAQBFx00UX49a9/DbfbjX/84x/o7+/P2rLCFosFbrc7K/uyWq0wmUzo6elBVVVVVvZJuam7uxuxWAxVVVVyR9O9994rZw1qNBrcfffdUCqViEQiqKiowKFDh1BTU4M333wTtbW16OrqglqtxvHHH49Dhw5h7969qKysRE1NzYyvyp9yyin417/+hVtuuQV/+tOfAIwUxP/jP/4DP/rRj3DxxRePufqdWklyaGgIXV1dqKysHNM5MN8KCwsxODgIl8sFh8MBnU6HY445Bu+//z4OHjyIZDKJ0tJSXsknykFDQ0MwGAzye4hgMAi/34+1a9fOeF/d3d0YHh5GZWUlbDabfH8ymcQPfvAD/OEPf5Dv+9SnPoXrrrsObrcbFRUVGa8y19/fD1EU4Xa7YbVa5Y6ksrIybNiwAW+88Qaam5vhcrngdrvlCxnTlZ+fD0mS5Fyoo6Wm6rndblgsFhQWFqKzsxMOh2PM70ylUonCwkI4nc4l/X6TiGgxy7gz6swzz5xWZ4pOp8OmTZsyPQzlqH379skrwpx66qnT/mDp9/uhUqmQSCQWfMrMbKSWkE91ehUXF+OjH/0ogJEW9gcffDBrx7LZbAgGg3I+z2xVVFRgeHh4wpBQokQiga6uLmi1WpSWlgIYKfzceuut8jZbt27Fhg0b0N3dLYdzW61WdHd3Q6lUoqioCL29vVi1ahXMZjPWr1+PsrIydHZ24t13383o/5/JZMJtt92G7du3yx9y/H4/rr32Wlx99dVwuVxp26tUKqxatUp+raZWkVpIqTDzvr4+uXNAo9Fg3bp1yMvLQ1NTEzo7O5ntRpRjkskkPB4PCgoK5MJJqrgz0yl6w8PD6O3thUqlSntuOBzGNddck1aIuu666/C5z30OgiBAo9GkFa5mIhgMwul0ora2Fnl5eWM6kkYHmb/22msZrWZnNpshCMKk3eA2mw1erxeSJMlT8CbKqCoqKoLP55swh4qIiGYn42KUKIq4//77sW3btkm30+l0uPjiizM9DOWoTPKigJHOKK1Wi2g0uqSLUUqlElqtVm7/ViqV+PSnPy1fbfzTn/6EeDyelWNZrVYkEom0KY6zodVqUVxczA+8NCGn04lQKISCggK5k27Lli3y9M7zzz8fV199Nbq7u2EymaBWq+HxeGCz2dDR0YHVq1fj4MGDyMvLQ1FREYCRwlBqangwGMSePXvQ19eX0f/BM844Ay+88AIuuugi+b5nn30WZ5111phVYouKiuBwOBCPx9HT07MoAm3NZjNsNpu8AAQwMoVvzZo1KCoqQktLC9ra2vj6JMohfr8fyWQSdrtdvq+zsxMWi2VaC8CkhEIhNDc3Q5Ik1NbWyt2eHo8Hl112GZ5++mkAI79zf/GLX+DjH/848vPzMTg4iLKysoy6LkVRRHt7OxwOBwwGAxwOB4aGhtJ+R51//vnyhclnn30WoVBoxkWg1AqDk/2eNplMEEURwWAQgiBMGmSuVquRn58Pp9M5o3EQEdH0ZFyMeumll/Duu+/O6A8gUUomeVEA5BXoYrGY/KZjqTIYDGlZBGvXrpVXFHM6nXjmmWeychy9Xi+HmGeLw+FAMpmcMGuBli9JktDe3g6VSoXKykpEo1FcffX/x96bx8dV1/v/rzP7vmRmMjOZJJN9T5qW7i2loFcFRIGLAnoRRX8KAuKCUgRFsMoiVxTxcmW5LCoXEFBQVLYLFGghXZJm3/dMZt/37fz+yPd8zLRZJlubpOf5eMyjnczMmTNz5nzO5/N6v9+v9zWk41tDQwP27duHRCIBn8+H/Px8jI+PQ6/Xo7u7GzqdDslkEoFAANXV1RkLH4qiYDAYsGnTJohEIvT09KC3t3dRwq1SqcRvfvMbPPbYY2Rx5/F4cO211+K6664j+8vhcFBTUwOhUIhoNIq+vr5VIfKYTCb4/X6SYQpMLR5rampgNBoxNDREjHpZWFjWPl6vFxRFkZKxaDRKxtBsSSaT6O3tJSXUjPfTxMQELrnkEjQ1NQGYEnWefvppfPKTn0QwGEQ6nYZMJlt0uZrFYgGXyyX2AxqNBul0GoFAgDxHo9GQ+eDY2BgmJiYWnB3FdPqeqxsfh8MhXfWAKW+oYDCIaDQ64/P1ej3cbveiPKxYWFhYWOZm0WIURVG46aab8PnPf34594flDCASieDIkSMAgMLCQhQVFWX92nA4DKFQiHQ6vebFKKlUmhH1O7Gkdb6sw2zhcDiQSqWLbpU82zbz8/NZM3OWk3C73fB6vVAqlVCpVPjBD36A9vZ2AFNZRvv27SPldnl5eQiFQojH40ScqqysRE9PDwoKCmZd+MhkMjQ2NsJgMMBqteL48eOLFlvPP/98vPvuu6RMFgBefvll1NXVoaWlBcCUcGU2m5FIJDA5Obmo8pHlRiAQwGg0Ynx8PENw4nA4qKysRGFhIUZHR9Hb28sKUiws6wCXywW5XE6Myu12O5LJJAoLC7N6PWNYzghYjDDU3d2Nz3zmM+jt7QUwJc68+OKLOOecc0j5tNvthslkWtR+BwIBOBwOFBUVgaIoRKNRRKNRaDQaIvozTG/m8v7778Pj8SxI/OfxeODxePOajjNiFE3T4PP5UKvVs2ZHiUQiKJVKNjuKhYWFZQVYtBilVCoXbCzIwgIAH374IclkWEhWFADE43EIBAJwudyTWvGuNWQyGWKxWEZWx6c+9SkS5Tx06BCZHC4VhUKRkUGxHKhUKlKCxcLCMDo6CoqiUFhYiCeeeAIvvvgigCnx5Ic//CHq6+tht9vB4/GQk5NDsqJ6e3tRWloKi8UCACgvL5/zffh8PiorK1FWVoZYLIb29vaThJls0Wg0ePzxx/Gb3/yGCGBWqxXf/OY3EYlEQFEUKioqIJVKV1V2lE6nA03TJy2iOBwOysrKUFRUBIvFgs7Ozlm7S7GwsKx+kskkfD4ftFot+dvIyAhkMlnWTRXGxsZgtVphNBphNptBURQ+/PBDXHrppaQTZ1FREV555RXU19eTrqapVAo5OTmLskZIpVIYGRlBXl4eRCIRyczq7u6GVquFx+PJCGh96lOfIn60r7/+OmKx2IL9AUUi0bzlfQqFAolEgjxPp9PB5XLNOk4aDAY4nU42+MbCwsKyzCxajGpsbERnZ+e8z/N6vbj88ssX+zYs65D33nuP/H8hYlQymUQ8HgePx8vKPH+1I5FIwOVyMxaSSqUSn/70p8n9p556alneS6lUIhgMLvsCOj8/nzUzZyEwBrUSiQSDg4PYv38/eex73/seNmzYAKFQCLvdjsLCQtjtdggEAiJOMV5klZWVWYnNFEXBZDKhvr4eQqEQQ0ND6O7unrXcYr5tXXrppXjnnXdQW1sLABgeHsaDDz4IYOp8raysRDqdhs1mO8ns/HTA4XCImfmJpYoURaGkpARlZWWw2+3o6OhgF1IsLGuUQCCAdDpNSooTiQRcLhdpEDEfLpcL/f390Gq1KCsrA0VROHDgAL7whS+QrNLGxka88sorpFOu1WqFTCZDMBjM+n1OZGJiAgKBALm5uaBpGkNDQxCLxaT0TyKRZGSaKhQKnHfeeQAAh8OB4eHhBWeiisXieUvqOBwOFAoFyRiXSqUQCASzdh6WSqWQSqWzZk+xsLCwsCyORYtRV155JV599VU0Nzcv5/6wnAG8++67AKYWS7t27cr6deFwmIgp60GMEgqFEAqFmJiYIJ+LoihceeWVEIlEAIAXXnhh3nTzbFCpVEgmk4tapM+FSCSCXq/H2NjYqsgUYTm9jI2NIZlMQiQS4cYbbyQCyRVXXIFdu3ahoKAAY2NjyM3NBY/Hg81mg0qlwujoKGpra9HT0wO5XL7ghY9CoUBDQwN0Oh08Hg/a2tpOKv/IFoPBgN/+9rdEDHv44YfR09MDYCprQKVSIRaLobu7e1WUvykUCsjl8hkzFJnOe5WVlXC5XGhra2N9T1hY1iButxscDodkbrpcLsTj8axK9MLhMNra2iCXy0l30KGhIVx77bWIxWIAgPPOOw/PP/888ZCKxWIka0mn05HSwIXg9/vhcrlIFpbVakUsFkNxcTH0ej0cDge0Wi2cTmfG/GF6qd6BAwfg8XgWNNbK5XIkk8l5s0HVajURoyiKgk6ng91un3Uuo9frYbfbV8W4z8LCwrJeWLQY9cwzz0CtVuOee+7BjTfeiHvuuQf/9V//ddJtuXxvWNYHDocD3d3dAKaMjHNycrJ+bTAYBIfDAU3T60aMEggECIfDGYJTUVERzjnnHABTn5kpc1oKjKnncpfqASCdxha7+GdZH8TjcYyPj4PH4+Guu+4iEeRNmzbh6quvRm5uLgKBAJLJJIxGIyYmJqBSqTAwMIDc3Fyk02m43W7U1NSQrpILQSAQoKKiAmazmZSCDA8PL6o8raKiAt///vcBTGUg7Nu3D+l0Gnw+H3V1dQAAp9NJSgpPNwUFBfB4PDMK10z2WHV1NbxeL9ra2sgClIWFZW3gdDqhUqlIt7nh4WGIxeKMznozkUwm0dLSAh6Ph4aGBuKndM0115CMqE984hP4n//5nwwfTqvVCpFIhHg8TrylFkIymcTw8DDy8/MhFArh9/thtVpRUlICHo+HvLw8uN1uyOVyxGKxjG6/H//4x8m+vPHGG0gmkwuau+Tk5CCdTs8byFMoFMS/inldPB6fNdNboVCAz+ezcx0WFhaWZWRJ3fSYrCi73Y7m5ma8++67J90OHTq0bDvLsvZ5//33yf8X6hcVDAbB5XKRTCYX5V2w2uByuZDL5RAKhRmp3zweD1deeSW5//TTTy8564jL5UIikcyagr4UmFIh1sz8zMZqtSISieCll17C8ePHAUz5cNx7772gKAo5OTmwWCwoLCxEOBwm5rF+vx81NTXo7u5GXl4eVCrVoveBMdavrq6GQCDA5OQkOjs7MxY62XL77beTrIOmpiY8++yzAACj0Yjc3Fwkk0n09PSsCi8mgUAAg8GA0dHRWccKg8GAuro6BAIBHD9+fNmzJFlYWFaGRCKBQCAAnU4HAEin07Db7TAajXO+jqZptLW1IRqNorGxkTR/+da3vkX8KCsqKvCb3/wmoyw6Ho/D5XIhmUzCYDCAx+MteJ/Hx8chFouh1WoRj8cxNDSEgoIC0oFbLpdDLBbD5/MhJycnQ+ARi8WkoYTP50Nvb++C5i4KhQIA5n0Nj8eDXC4n2VFcLhcajWbWUjyKoqDX62Gz2dhMcBYWFpZlYtFiFABcffXVuO666+a8XX311cu1ryzrgAMHDpD/L1SMCgQC4PP5iMVi60KMAqa6iyUSCXg8nozymd27d6O6uhrAVKcbpt3yUlgJE3MGpVIJqVS6ajJFWE4t6XQaw8PDaGpqwquvvgpgaqL/8MMPI5FIwGQykUwouVyO8fFxaLVaDAwMoKysDBaLBYlEAhUVFcuyPyqVCnV1dVAqlQiHw+jo6FjwAkIsFuO+++4j9/fv3w+HwwEOh4P6+npwuVx4PB6Mjo4uyz4vFb1ej3Q6DafTOetzdDodGhoaEA6H0dXVxS6oWFjWAH6/HzRNE6He6/UiGo3OW6LX19cHu92OxsZGYnL+wAMP4LXXXgMwdd3+n//5n5MM0G02G8nAys3NXfD+er1eeL1emM1m0DSNwcFBKJXKDPN1YKprn8PhgEajgdvtzih/m16q984778Dr9WYt/MtkMlAUlVWHVaarHgNT6n2iBx+DWq0GTdMrEthjYWFhORNZkhi1a9cu7N27d87bzp07l2tfWdY4NE0TMUokEmHLli0Len0oFCJp4+tFjFKr1aQV8fRFpFgsxiWXXELuL0e560qZmANTEcP8/Hy4XK5FZaGwrG2cTifa2trwhz/8gfztzjvvhMlkIuUWoVCIGN4zAiyPx4PRaMTQ0BDKysqIV9pyIBQKUVVVBYPBgHQ6jZGREQwMDMy6yJiJPXv2kPPQ5/PhrrvuAjBVzlFQUIBEIoGenp4FbXOlYLLC5stQzMnJQU1NDRwOB+mgxcLCsnpxuVwQCARkLB0aGoJAIDhJ3JnOxMQEBgYGUF9fT+wQ/v73v+OXv/wlgKnx4uGHH0ZxcXHG65LJJBwOB1KpFPLy8hZcMp1MJjEyMoKCggIIBAJMTEwgnU7PKJzl5OQgkUiQEujpAs+ePXuI+PbWW28hnU5niEZzIZVKFyRGhcNhEgwUiUSQyWSzluJxOBzk5uae8dlR4XAYgUDgdO8GCwvLOmDRYtSdd95JjBTnQqFQ4KGHHlrs27CsI/r7+8niZ/v27Qv2fYpEIkSMYlK91zqMnwtN03A6nRmRwcsuuwxKpRLA1CRyqd27GOPllfKLEYlEyM3NnbNUiGX9QdM0Wlpa8Lvf/Y5M6D/3uc/hsssug8vlgtFoxPj4OPLz80FRFCYmJqBUKjE2Noba2lr09vZCLBaTDk7LCYfDgdlsRllZGbhcLrxeLzo7OxeUIfiTn/yElH289NJLOHDgACiKQn19PUQiEfx+PwYHB5d93xeDSqWCTCab0cx8OjqdDgaDAd3d3ax/FAvLKsflckGtVhPPzMnJSej1+lmFIq/Xi9bWVpSXl5NmEF1dXbjpppvIc2677TbiTTkdRmQRiUTEzDxbaJrGyMgIZDIZcnJy4PF44HK5UFJSMuO+cjgcYmCu1WozBCCBQIALL7wQwNTcr729Peuuenw+H3w+P6vmL3w+H1KpNEO40ul0cDgcs85jtFotYrHYGSvGBINB9PT04Pjx4+z1g4WFZcksWoyqqqrKKmLC4XBInTvLmc17771H/r/QEj1gqrsL43kw3WhzrWM0GpFKpZBKpTIif7m5ufjUpz4FYCra+Mc//nFJ78NEC5ejO99sGI1G1sz8DMPlcuG+++4jx7y+vh4///nPMT4+Dr1eD6fTCbFYjJycHFitVvB4PIyOjkKv14PL5cJut2d9PVksGo0GNTU1EIlESCaT6OvrIxH7+dBqtfjRj35E7t96662IRCKQSCQoLy8n21stk3Im+2w2E15gSgSvrKwEAPT09LDiMQvLKiUejyMYDJJ5dCAQQDgcnlW8j0ajOHLkCIxGI0pLSwFMeSd99atfJVnLl156Kb7xjW+c9NpkMgmbzUayoiiKWtC+Mk0UCgsLEYvFMDIyArPZPGfGq1arhdfrhUwmQzAYzPCyu/jii8n//+///g+BQCDrLFSmOUw2qFSqjKwslUoFmqZnzazicrkkO+pMIxQKob+/H3q9Hjk5ORgYGGC7C7KwsCyJJc/+4/E43nzzTdx///3Yt28f9u3bh/vvvx9vvvkm20KaJYOl+EWl02nE43Hw+XzweLwMs821Dp/Ph06nA0VRGdlPFEXhqquuIov0P/zhD0syCOfz+RCLxSvqdZBtqRDL+oCmafz4xz9GV1cXgKmyi8ceewyhUAjJZBIymQxutxuFhYWIx+Ow2+2km1NNTQ06Ozuh0+nmLDdZLsRiMaqrq0nJis1mQ29vb1Yi0hVXXEHKioeHh/Hggw8CACorKyGXyxEMBtHX17dyO78ARCIR9Ho9xsbG5hSZmDJGq9U6p88UCwvL6YPxi2KypEdGRsDj8WbscJdKpdDU1ASJRIKGhgZQFIVkMonrrrsOIyMjAKa6GN93330zCk1OpxPxeBxKpZK8X7bE43GMjo6isLAQXC4Xg4OD0Gg083b7E4lEkMvl8Pv9UCqVGYGsbdu2Qa/XA5hqmpROp7Oev4jF4qwDBCqVCsFgkMxZKIqCTqeb138vGAyeUbYE4XAYfX190Gg05LpB0zSbDc/CwrIkliRGDQ8P47vf/S4effRRHD58GENDQxgaGsLhw4fx6KOP4nvf+x65ALKc2SQSCdJZUavVEnPubIlEIkilUuByuRAIBCuxi6cVpjtXKBTKyGior68ni2Cr1YrXX399Se8jl8uz8lFYCiqVChKJhDUzPwP4/e9/j5dffhnAvzxIDAYDJiYmYDKZMDY2BqPRCKFQiImJCcjlcgwPD6OsrAwOhwPhcBhVVVULjsAvFi6Xi6KiIhQWFoKmaUSjUXR1dc1b/sHhcHDfffeRrlIPP/wwenp6wOfzUVdXB5qm0d/fP2c20qnEYDBklaFoMBig1WrR2dm5KnyvWFhYMnE4HBCLxRCLxaBpGhMTE9DpdCdlktI0jWPHjiGZTGLz5s3k8f3795OsdK1Wi8cee2xGz810Og2LxQKapmEymRY0JjOChFKphFqtxujoKDgcDkwmU1avZ8riNBoNXC4XETa4XC4uuugiAFNzyObm5qxL9eRyOZLJZFam50KhkHT2Y9BoNPD7/bN2HeXz+dBoNGdMdlQ4HEZvby9UKhXsdjvGx8fR09ODZDIJn8/HBjRYWFgWzaLFKK/Xi5/97GdwOBwoKCjAueeei4svvhgXX3wxzj33XBQUFMBut+NnP/tZ1qaDLOuXlpYWUh62e/fuBZfkhEIhUBQFmqYX7DW1FhCJRFCpVOBwOBlthXk8Hi6//HJy/6mnnlrS+yiVSgQCgRWNYlEUhYKCAtbMfJ1z9OhR3HnnneT+bbfdht27d2NiYgIymQzRaBQURSE3NxeBQAA+nw9+vx8CgQB5eXno6+tDcXHxKS+5ZaLe1dXV4PF4oCgKw8PDGBkZmbPcoKKiAt/85jcBTC2M9u3bh3Q6DbPZjJycHEQiEZIhdrrJNkORoijU1NQgmUyiv7//FO4hCwvLfNA0DZfLhZycHFAUhXA4DL/fP6MZOCOqb926lQTs/vSnP+HRRx8FMCWePProo7MKRE6nE+FwGDqd7qTuevPBXOsLCgrgdDrh8/lm9YmaCaVSSeZ3ADJEoemlem+++SbC4fCsAtF01Go10ul01gGCE7vqCQQCqFSqOUUWvV4Pj8ezakq0VwomI0oul8PtdsPhcEChUECn02FoaAhCoRDj4+MragHBwsKyflm0GPWXv/wF6XQat99+O+6//35ce+21uPLKK3HllVfi2muvxf3334/bbrsNqVQKr7zyynLuM8saZHqJ3p49exb8+mAwCC6Xi2Qyuawdt1YTubm5SKVScLlcGQvICy+8EEajEQDw/vvvL2nRyJiYr3QWBGNmPl+pEMvaxG6347rrriOLggsuuADf+MY3EAwG4Xa7odPpYLVaYTabQVEUxsfHIZPJMDk5ifr6egwMDIDH46GkpOS0fQaJRIKqqirSBtzr9aKrq2tOAfVb3/oW8WppamrCs88+Cw6Hg40bN4KiKIyMjKx45mG2MBmKk5OTcz5PJBKhoqICo6OjbLtyFpZVRCwWIwIRAIyNjc2YcTQyMoKRkRFs3LiRCEnNzc245ZZbyHP279+PrVu3zvg+6XQa4+PjpCvuQvdxfHwcZrMZ8XgcY2NjKC4uXlAGO0VRxMicyY5iaGxsRFFREQDg4MGDpBPrfDBlhtkGw1UqFXw+X0YmFVOqN1uQQigUQqVSrevsqEgkgr6+PojFYni9Xvh8PvB4PMhkMqhUKgiFQvL44OAgm2HLwsKyYBYtRjU3N+NLX/oS6uvrZ31OQ0MDrrrqKhw9enSxb8OyTpguRu3evXvBrw8EAuDxeEgkEjOmmK8H5HI56RI4PRonk8kyooNPP/30ot+Dmahmm+q+FAwGA2Kx2Cl5L5ZTRzwexze/+U3Ssa2oqAi/+tWvAEwtlvR6PWw2G7RaLaRSKVwuF+LxOKxWKwwGA3g8HiwWCyorK0nZ2+mCEcTy8vLIIqS7uxt2u31GEVUsFuOee+4h9/fv3w+HwwGdToe8vDxEo1F0dnaesv2fCyZDkSmHnAuTyQS1Wo2Ojo6sylpYWFhWHkZIUalUAIDx8XFoNJqMcdPhcKCrqwtVVVXIzc0FMOWH97WvfY1k7Fx11VX4j//4j1nfx+12IxAIwGQyLSjYx3TPU6vVkEqlGBwchMFgIN1HF4JWq0UgEIBMJoPP5yOiBkVR+MxnPgNgSjQ7fPgw3G73vEEupmFLtp1TRSIRBAJBxvNlMhn4fP6c4pfBYDgpgLheiEQi6O3tBZ/PRygUQjweRywWg1KpRH5+PoqKiojf4/DwMHg8HoaGhtgAJAsLy4JYtBjldDpRW1s77/Nqa2vZWuIznEAggObmZgBAaWlp1j4C0wmFQhAKhYjFYus2M4opaaJp+qS2wl/84hdJeeLzzz+/aG8agUAAtVqNkZGRjHLAlYDL5bJm5usMmqbx05/+lPi/SSQSPPTQQ5BKpXA4HEilUuDxeIhGo0TgsVgs4HK5CIVCqK6uRmdnJ1Qq1YwGvKcDiqKg1+tRUVGBVCoFoVAIi8WCrq6uGSfVe/bswSWXXAJgqpzkrrvuAkVR2LhxI+kUuFq6SWabocjhcFBbW4tIJIKhoaFTuIcsLCyz4XA4IJVKIRAIEI/H4fV6UVBQQB73+/1oaWmByWQi2UOxWAz/3//3/8FqtQIAtm7dirvuumvW92AEJR6Ph7y8vAXvXywWg8lkwsjICIRC4aLHdT6fD5VKBb/fD5lMljGGfvaznyX/f+ONNxCPx+cV2BkxKttMVYqioFarMzKpmJLuueZKEokEMpkso/nMeiAajaK3txdcLhexWAwURcHj8SAnJwcmkwkGgwFmsxk6nQ56vR6RSAQ2mw3RaJQEqlhYWFiyYdFilEAgyKo+OBgMrkvDaZbsOXToEIm2L6ZED5iqWZdIJIjFYiR7aD2Sk5NDFvPTJ1Fmsxl79+4FMCXu/fnPf17U9imKgsFgAJ/Px+jo6IpPoNRqNUQiEZkYs6xt/vd//xdPPPEEgKnf0ne+8x1s2LABiUQCFosFBoMBFouFdFSyWq3gcrmYmJhAWVkZPB4P/H4/qqurT5lpebbIZDJUV1dDIBCAoijYbLZZSzx+8pOfkOj/Sy+9hAMHDkAul6O0tBSJRALt7e2rJjpsNBqzylCUSqUoKyvD4OAgAoHAKdo7FhaWmaBpGh6Ph2SeTExMIJ1OE7+oSCSC5uZmKJVK1NTUEM+l22+/nVQj5OXl4ZFHHplzDu52u+H1emE2mxc0V2dEh6KiIrhcLoRCIRQXFy9pXNfpdMQja7qReVVVFaqqqgAAR44cQTQanXc8EwgE4PF4WWdGAf8q1ZtelqfRaBCJROYMAOr1ehKMWQ9Eo1H09PQgnU4jlUpBIpFgfHwcarUaeXl5xDaCoigUFhZCrVbDYDDA7XYjGAzC4XCwJd8sLCxZs2gxqqioCK+++uq8z/vrX/+K4uLixb4N4vE4/vjHP+Kmm27CzTffjH379uHIkSPzvm5kZASPPfYYvvOd7+B73/sevvOd7+A///M/2e5+p4Gl+kUBUxdHkUiERCKxrsUoDocDnU4HiqIyhCIOh5ORZv/kk08uerFbUFBA2i2Pjo6uqFBEURRMJhMcDgfrJbDGeffdd/GjH/2I/O4+85nP4LOf/Sw4HA7plBcIBCCXy4k3md1uRyQSgVAoREFBAXp7e5Gfn7+oMo5TAZ/PR1lZGXQ6HaLR6Kym5lqtFj/+8Y/J/VtvvRWRSAR1dXUQi8WwWCyrxkdkeobifIsls9kMmUyGjo6OOc3cWVhYVpZoNIpIJEL8okZGRqBSqUiW1PHjx0FRFBoaGsDlcgFMNTh55plnAExlRT7++OPk9TMRj8cxMDAAsVhMBIZsoGkaw8PD0Gq1oCgKFosFJSUlSy67lslkEAgESKfTSCQSGQLQ9OyogwcPwuPxzJvtKRAIFtRERSKRgMPhZIjxXC4XGo1mzuwouVwOgUCwajJil0IsFkNPTw8SiQR4PB7UajX6+vqgVCphMplO6rTI4XBQUlICpVIJnU4Hi8WCdDqN4eFhRCKR0/hJWFhY1gqLFqM+9rGP4cCBA7jnnnsyOqUBU9lQzc3N+NnPfoYPPvgAH//4xxe9gw899BCOHDmCn/70p7j//vtx2WWX4f7775/Xh+qBBx6AzWbD/v378Z//+Z+4++67kUql8MMf/pDtGnSKYcQoLpeLHTt2LPj1NE0jHo9DKBQinU6f8u5bpxqdTgeapuH1ejMu5rt370ZlZSWAqc452YiyM8HhcFBUVEREr/HxcUxOTq5YJodUKoVcLl93aexnEj09PbjhhhuIYfmWLVtw2WWXITc3F8FgEB6PB0qlEj6fj5SRjI+PQyAQwGazob6+HkNDQ0in0ygvLz+dH2VeKIpCXl4eTCYTQqHQrGLt5Zdfji1btgCY8st48MEHIRKJUFtbi2QyiePHj6+a7CgmQ3E+M3MOh4O6ujr4fD6MjY2dor1jYWE5EbfbDQ6HA4VCQRqb5OfnI5lMorOzE5FIBA0NDcS24NChQ7jjjjvI6++//340NDTMuv1kMonu7m5EIhGUlpYSQSsbbDYbUqkUcnNzMTg4CJPJtOAOfDPBlMUx2VHTLT6mi1GvvfYaAMybwSkSiRbU6Y6iqJO66gFTwQe32z2r3QBT6m2z2VbNmL8YGCEqGo1CLBZDr9ejra0NUqkUBQUFKCgomDHzjcvloqysDEqlkthAUBSFwcHBdZMtxsLCsnIsWozavXs3du3ahebmZtx999346le/SrrpffWrX8U999yD1tZW7Nq1Czt37lzUe3R2duLDDz/E5z73ORJJ37x5M+rr67PKDPnCF75AhAuRSISrrroKiUQC//znPxe1PywLZ2JiAgMDAwCAjRs3Qi6XL3gbsVgMyWSSpF2fbtPjlUYgEECr1YLD4WRE4wQCAS677DJy/8knn1z0ezDmxoy/w/j4OCwWy4pNpAwGAxwOB+sdtQax2+245pprSFlETU0NvvSlL6GwsJB4JOn1ekxOTsJkMkEgECAQCMDn88HpdMJoNEIoFGJkZATl5eVrpmy7vLwcXC4XY2NjM7YS53A4uO+++8h49PDDD6OnpwcVFRVQKpVwOp2rRtBhumQxmWpzoVAoUFJSgt7e3gVlFbCwsCwfTqcTCoUCPB4PVqsVyWQShYWF6Ovrg8fjQWVlZYax+de//nVyfb3uuuuIr91MpNNpsp3CwkJifJ4N4XAYk5OTMJvNGBkZgUwmmzP7aqHk5OQgGo1CIpHA4/EQMcNsNmPjxo0AgI6ODvh8vnlL9WQyGRKJxIIEEaZUb/pcSCKRkGYcs6FWq4mv0lokHo+ju7sboVAISqUSBQUFaG5uhkAggNlsJp1xZ0MgEKCiogJqtRpisRjDw8OIx+MYHh5e0wIdCwvLyrNoMQoAbrzxRnzhC18gEZF0Ok1S+2UyGb74xS/ixhtvXPT2Dx48CACoq6vL+Ht9fT1sNhsROWbi/vvvP6k8UKPRAEBWXlcsy8P7779P/r/YEr3pqdqMifd6Jzc3F6lU6iQfgssvv5wIs6+++uqSTMiZEjomk8VisWB8fHxFJg4ymQwSiYTNjlpjRCIRfO1rX8Pw8DCAKVHxhhtugFKpRF5eHuk6x4jFWq0WNE2TFuSRSATV1dXo6uqCTCZbcNvw04lYLEZhYSGSySTGx8dnfE5FRQWuv/56AEAikcC+ffsAAJs2bUI6nUZbW9uqiQxLJBLodLp5zcwBoKSkBCKRCB0dHexCgoXlFEPTNNxuN5mzDg0NEZNsm82G/Px8UlYXiUQyggXnnnsubr311jm3PTg4CJvNBqPRiKKioqx9ntLpNEZGRpCbmwu/349EIjGvSLFQmLK4YDAIkUiUIThNz45677334PV65ywnVqlUSKfTCyoXk8vlSKfTJ3lEMUbms42HTHaU1Wpdc2NmPB5HZ2cnAoEAtFotioqK0NTUBJqmYTabs/6NiMVilJWVZZRv+ny+VVOyzsLCsjpZkhhFURQ++9nP4pFHHsH+/ftx00034aabbsL+/fvxyCOP4DOf+cySLlIjIyMQi8Un+Yvo9Xry+GzMlD1jsVgAnCxusawcy+EXFQqFwOFwkEwmzxgxSiqVQqVSkfR8hpycHJx//vkApha/jD/EUtDr9US4nZycxOjo6IpMpgwGA+x2+6pZnLPMTSqVwre//W1SEi2VSrFv3z6YTCYYjUbweDxMTk5Cq9XC5XKhsLAQFEXB6XQiHo/DarWivLwcgUAALpcLNTU14HCWdMk55RgMBshksjnNzG+88UaYzWYAQFNTE5599lmYTCbo9Xq43e45gyanGqPRiEgkMutnYeByuairq4Pb7Z63tI+FhWV5CYfDiMViGd11ZTIZLBYLNBoNSkpKiGH5d7/7XXR0dACY8nJ96KGHZi25o2kao6OjGB8fR25uLsrKyhY0R2eEFolEApvNhpKSkgWV92ULUxanUqky5j8XXXQR2d+///3v4HK5c45lKpUKFEXNO95NhynVOzHDiRG25jJE12g0SCQSCzJNP93E43F0dHTA7/cjLy8PZrMZTU1NiEajKC4uRllZ2YKu20xmrV6vRzQahcvlwsTExJr6TlhYWE4ty1LvxOVyUV5evuxeIH6/f0azarFYTB5fCK+99hqMRiP+7d/+bc7nJRKJWc2WKYoi778YliuCxGxntXWkmk46ncZ7770HYGohu3HjxkXtbzAYBJfLRTKZhEgkWtWfeaHMdRz1ej28Xi8cDgdyc3NBURQoisLVV1+N559/HjRN4w9/+ANuuOGGJZcu6nQ6cLlcDAwMkCjWckc8FQoFxGIxnE7nots/r2bWwjmZLTRN45577sHf/vY3AFPi/m233YaamhokEgkUFhZiYmICCoUCHo8HBoMBEokEyWQSk5OTxHPCbDbj4MGDMBqNyMnJOc2fKnuYY8jlclFUVIT29naMjo5CqVSeNDGXSCS49957ccUVVwAA9u/fj0984hPYsmULXn31VXR0dKCkpAR8Pv+Uf44T4fP5yM/Px/j4OJRK5ZwLyZycHBQWFqKrqwtarXbNBQLW0/nIcmYdT7fbDR6PB7lcDpfLhXA4jJycHIhEIlRUVJDr/UMPPYRXXnkFwNQc68knnyTNSWbCarViaGgIGo0GlZWVCxKSQqEQEaCGh4dhNpsX3UxmvmMplUpJxUUkEiHXE6PRiJ07d+KDDz7A0NAQHA4HJBIJySA7EWYbgUBgQb8btVqNsbGxDI8kLpcLrVYLp9NJyiNPhMvlQq/Xw263z/qc1QQjRPl8PpSWlsJkMqGpqQkejwdlZWWkVH0m5jqGWq0WiUSCzAcEAgGGhoZQU1OzZsr0zzTOpPF1vbMWj2XWK9gXXngBF1100ZqbkDIcO3YMTU1NuOOOO+b9DH/+85/xwgsvzPhYcXEx7r333kXtg16vX/Yo0mpe1B8/fpxEtc477zzSknihtLe3E+8EtVq9oK4va4WZjqPBYIDX60UwGIRYLCaTzNzcXOzYsQMHDx6ExWLB0aNHcfHFFy95H4xGI4xGI44fP45gMAiv14uqqqplzWYRiUTo6upCbm7uikRUVwOr+ZzMlt/+9rf4r//6L3L/9ttvx65du6BWq1FeXo5oNAqbzQaTyQSn04mNGzeCw+FgYGAAUqkUNpsNn/rUp+BwOEBRFPbs2bMmGw8YDAYYDAYkEgmMjY0hmUySLKjpXH755fjrX/+KP/7xj/D5fLjvvvvwhz/8AcPDw+jo6MDk5CS2bdt2Gj7ByRgMBiSTSYyOjkKj0UCj0UCtVs94Pmq1Wrz66qsYHx/Hrl271tTkhmE9nI8s/+JMOJ69vb0oKCiAyWTCsWPHwOPxoNPpsGnTJiLq//3vf8c999xDXvPMM8/gnHPOmXWbVqsVY2NjMJlM2L59+4Lm8qlUCkePHkVNTQ08Hg9KSkpIM5WlMNex5HK5GBoaQnFxMdLpNJn3felLX8IHH3wAADh69CgKCgqg1WpnFPtlMhkJZC5k3qjX64ln13RjdrVajY8++og0hJgJrVaLjz76CJFIBMXFxat2zIzH4zh06BBisRh27twJs9mMDz74AE6nEw0NDdi2bVtWQc7ZjqHBYIBUKgWfzyfddqfPFVhWJ2fC+HqmsJaOZdZi1J/+9Cf827/92ykVo+Ry+YwGsEz9d7btwTs7O/HII4/g1ltvzUoQueSSS/DpT396xseWcmGx2WzLmhllMBhWdX36iy++SP6/devWRZd72O12UBQFt9sNmUy2rspG5juOYrEYVqsV7e3tKCsrI3///Oc/TzzVHnjggWVd6Obn56Onpwc9PT1wu90oLi5etskDTdOIxWJoa2sj5bbrhbVwTmbDP/7xD3z7298m96+66ips27YNWq2WlE10dXVBqVSiu7sbZWVlsNlsiEaj6OzshN/vh1arRSgUwtGjR1FaWgq/37+m0vRPPJYKhQKxWAzNzc0AMGN095ZbbsHf/vY3+Hw+/PGPf8SnP/1pbNmyBd3d3Th06BByc3NnXcCcanJzcxEKheD1ejE6Oop4PA6FQgGlUgmlUpnx+UpLS3H48GHI5fIFGR2fbtbL+cgyxZlyPJlSurKyMvT29qKnpwdSqRQ5OTmIxWKYnJxEf38/rrjiCvI9fP/738eWLVtmnRv5fD4cP34cQqEQhYWF8xp/n8j4+DiCwSDxUmIaViyWbI5lOp2Gx+MBj8cjlh0cDge7du0Cj8dDMpnEc889hwsvvBBdXV0zmqin02lQFIXJyckF7y+Hw0FPTw/y8vJO+nt7eztMJtOsr83Ly8Pg4CBGRkZQUlKy6rKBEokEWlpa4Pf7UV9fD6FQiHfffRft7e0wm80oLCyc1480m2Mol8uh0Wjg9/sxMDCAWCxGfMZYVhdnyvh6JrDcx/JUJIAsqLbn0KFDiy5RmytiMxtFRUXo7e1FIBDI6MI2vYxoPlpbW/G73/0O+/btQ1FRUVbvy+fzV6ykYrlPcpqmV+3AwZToAcDZZ5+96P2MRCLIycmB3++HSCRatZ93Kcx2HDUaDUZHR+FwOJCfn0/E4E9/+tO45557YLVaceDAAfT396O0tHRZ9kUqlaKqqgo9PT2khXNpaemyCVIGgwGjo6OkY+B6YzWfk3PBlNXedNNNpCvTxz72MVx77bXIz88nUVKmfXUoFIJarYZMJiOm5alUCvF4HFVVVejq6oJQKITZbF6T3wfwr2PJdBTq7+/H6OjojOeaRqPBj370I9x8880AgH379uGtt95CZWUl2tra0NbWhs2bN5/qjzAjFEVBJpNBJpPBZDIhFovB6/XC5XJhdHQUYrEYKpUKSqUSOTk5yMvLQ3t7O84+++w11810rZ6PLDOz3o9nIBBALBaDTCZDe3s7EokEioqKoNfrQdM0/H4/vvKVryAQCAAALrjgAnzrW9+a9TsJhUJoa2sjPnBCoXBB318gEIDdbofBYIDNZkN1dTXxq1oqcx1LiqKg0WgQCoWIN5RarYZarcY555yDt956i3hc8ng8aLXaGbfB5/MRCoUWvL9KpRJWq/WkhZhOp8PQ0BAMBsOs8xeRSISqqiqMjY2hs7MTRUVFUCqVC3r/lSKZTKK5uRl+vx8bN25ETk4OhoeH0dbWBpPJhIaGBnC53Ky/r/nOx+LiYsRiMcRiMUxMTICiKEgkkhmPF8vpZ72Pr2cSa+lYLmhW+cQTTyz6jRYjRu3YsQOvv/462trasHPnTvL39vZ26PV6siBIp9MIBAInDfZHjhzBk08+iVtvvZV0cfJ4PHjkkUdwyy23LPqzsMxPNBrFhx9+CGAq5Xl6Vs9CYDJpmLa6a7HUZynweDzo9XpYLBY4nU4SjROLxbjkkkvw8MMPAwCefvpp3Hnnncv2vhKJBNXV1ejp6YHdbkc6nUZZWdmylNYplUrweDy4XK5lbQnNsnhCoRCamprw3e9+l3QbbWxsxAMPPJDhx+H1ejE5OQmdTgeXy4WSkhIAU/59jJhRWVmJSCQCm82GTZs2rZtyTMYLxGq1QqfTzZiZe/nll+P5559HU1MTRkZG8OCDD+K73/0uBgYG0Nvbi+rq6lU3hlEUBZFIREoSk8kkfD4fvF4vrFYreDwepFIpLBYLurq6UF9ff7p3mYVl3eJwOCAQCGCxWOB2uyEQCFBTUwOKopBKpXDDDTeQpgjV1dX41a9+NasoEo1G0d7ejnQ6jQ0bNizY4ymVSmFkZARarRY2mw1FRUWntDpCq9Wio6MDOp0OTqeTWBVcfPHFeOuttwAAb7/9NnJzcxGPx2fMQBKJRAvqpsegVCoxPDyMaDSakdEql8uJODaXDyKHw4HZbIZMJsPg4CByc3ORl5d3Wsv2kskkjh49ilAohM2bN0OpVMJut+Po0aOkDHS5A/GMp3A8HsfIyAisVis4HA4kEsmiPcdYWFjWFwtKS3jkkUfw3HPPzXt74IEHiPjD5/Nx3XXXLWrnamtrsX37dvzpT38iJR7Hjh1Da2srrr76ajKoP/bYY/j617+Onp4e8tqDBw/il7/8Jfbs2YPBwUEcOHAABw4cwMGDBzE6Orqo/WHJniNHjiAajQKYEiIXewFOJpOkbXw6nT4jL15MRx2r1ZrRxviqq64ik6/nn38e4XB4Wd9XJBKhuroaCoUCTqcTfX19y9IJb3oK6VxtmVlWnnQ6jbGxMRw8eBB33nkn7HY7gKlo5h/+8IcMISoYDGJoaAgFBQVwuVwoKCgAj8cDTdMYHx9HJBKBRCJBYWEhOjs7odFo1pXYyCwuaJrGyMjIjL9dDoeDe++9l2QPPfzwwxgcHERjYyMSiQQp81vN8Hg8aDQalJaWYsOGDTCbzeDz+ZDL5ejs7ERraytcLtesTT5YWFgWj8PhINdZv9+P/Px8IhD84he/ICKMSqXC448/Pqu4nUgk0NHRgUgkgrq6uqxtLaYzMTEBHo9HSq9PtSm3UCiEQqFAKpVCIBBAPB4HAHzyk58kAtHf//53iMXiWUsP5XI5ed1C4HK5UCgUJ3XioygKOp1u3jI2Bo1Gg6qqKvh8PvT29i5qX5aDRCKBw4cPIxQKYcuWLVAqlfD5fPjggw+gUCiwbdu2FSsnFAgEqKqqQl5eHpLJJBwOB/r7+0kGNgsLy5nNstfIHDp0CLfeeivGx8eh1Wpx1113Ye/evYve3g033IDNmzeT8ofnnnsON998c0a5g1KphFQqzSghfPTRR5FMJvHCCy/goYceIrennnpqKR+PJUtOLNFbLOFwGDRNg8vlgs/nr7kSkeVAJBJBq9UiFotlTLgKCwvJueX3+/GXv/xl2d+bmUSoVCo4nU709PQsywRCrVYTHzCW00M4HMbx48fR09OD3/3ud+jr6wMwNXl+5plnMroyRSIR9Pf3w2QyIRAIQCqVksedTieCwSB8Ph8aGhowMTGBcDhMovnrCZVKldHlciYqKipw/fXXA5haAOzbtw8lJSVQqVQYGhpaUJvx0w2Hw4FCoUBhYSF27NiBoqIiWCwW2Gw2tLW1obu7G1arFZFIZM2kg7OwnE5omkYymUQsFkMoFILP54PL5YLdbkdPTw/Gx8chk8nI3IfJKn/llVfwm9/8BsCUUPLf//3fs1pVpFIpdHZ2wufzoaamZs4Oe7Ph9/vhcrnA4XDA4/Hm9EhaSXQ6Hfx+P+ksCExZCXz84x8HMNV5sK+vb9a5hFKpRCqVWlSwTqVSzTheazQahMPhrLcpFotRVVUFoVCIrq4u+Hy+Be/LUkgkEmhqakI0GsX27dshl8sRDofx7rvvQiQSYffu3Sue8SYWi1FdXQ2DwYBAIIDJyUkMDg6y1w0WFpbsy/TuuOOOjK4SJ5JKpfD000/jn//8JwCgoaEBN91005yvyQaBQIAvfvGL+OIXvzjrcy6//HJcfvnlGX9bSkkhy9JZLjEqGAyCw+EglUqt2U6OywFTImS326HRaEBRFCiKwtVXX43XX38dAPDkk0/iyiuvXHYBgM/no7KyEv39/XA4HOjp6UFlZeWShEGKomA0GjE5OUk+D8upIZ1Ow2KxoL+/HwDw8ssv49ChQwCmItFPPvlkRqOHeDyO/v5+IoiGQiFUVFSAoigkk0mMj4/D7/cjLy8PUqkUR48ehdlsXnXlaMtFYWEhXC4XhoeHkZOTM2NZw4033oi//OUvGBkZQVNTE5577jmce+65eP3113HkyBGykFpLcDgcbNiwAe+99x7xn2HKMycnJ8Hn84kBukwmW5d+cCws00mn00ilUiSDO5lMZnWfpmlQFAUulwsejwcul0vEH6lUCpFIRMrO9Ho92tvb8d3vfpe8749//ONZ51XpdBo9PT1wOp2orq5eVNOBZDKJ4eFhyGQyRCIRVFVVnbZrtEKhAIfDAZ/Ph9PphMFgAEVRuPjii/G3v/0NAPDWW2+hoKAAkUjkJF9bJpvL4/EsOLNeqVSSBg/Ts4Z4PB5ycnLgcDiyNuPmcDgoKiqCy+U6pWV7iUQCH374IVKpFHbs2EF+W++88w6Aqfn5qWqsIZfLUVNTg3g8DrvdTkrAT5fQycLCsjrIejVZU1Mz62Nutxu//OUvSWT9kksuweWXX84uMM9Q3G43WltbAQBVVVVLKtVhxCimVO9MRS6XQ6lUwuPxIBQKEZH37LPPRkVFBXp7e9HR0YGjR4+uiEkyj8dDeXk5KIqCzWZDV1cXqqqqluQvoFarMTk5CY/HM6f3AsvyEQ6H0d3dDZfLBZlMhrfeegsvvfQSgCmB8KGHHsKmTZvI85PJJPr7+0kDCY/Hg8rKSnIuTk5OIhwOI5lMoq6uDr29veByuctmpr8aYUzZ+/v7MT4+juLi4pOeIxaLcc899+DKK68EAOzfvx//9m//BqPRiImJCdjt9jXVmY6BMebt6OiA0WiEVquFVqtFOp2G3++Hz+fD8PAw0uk0FAoFVCoVFArFGZnRyrJ8hEIh2Gw2DA4OEk87JiAz/QaAiKAzPb6Y580lKjHldEz2EHNjRCaBQJBxf/rjXC4XFEUhkUigv78f0WgUWq0WQqEQUqkUfX190Ol08Hg8+OpXv0p8jz73uc/hq1/96ozfE03TGBwcxOTkJMrKyhbdBWl8fBwcDgeBQABlZWWnde7FlMV5vV7iD6tQKHDuuedCLpcjEAjgtddew7XXXgu3232SsCGRSEBRFPx+/4JFDz6fD6lUCp/Pd9I8VqfToaenByaTaUHjm0ajgUQiIb/l4uLiFft+4/E4Dh06BIqisHPnTmJ38e677yIWi+G8885bcsLAQsnJyZlRkMqmBJQpjWcDHSws64slzxBbW1vx4IMPIhAIQCwW4/rrr8eWLVuWY99Y1igffPABSb1djHH9dAKBAPh8PmKx2Kppi346YHyWfD4f7HY7mUBwuVxcfvnl+OlPfwoAeOqpp1asYxdjRMnj8TAxMYHOzk5UV1cveiLF4XBIi2imbI9lZWCyoZiAgUqlQltbGx599FHynNtvvx0XXHBBxmsGBwchEAggFApht9tRWVlJMhSj0SgmJyfh8/lQXV2NSCSCiYkJ1NXVrXvxQa/Xw2azYWJiAjqdbsYJ/Z49e3DppZfipZdegs/nw1133YX9+/fj5ZdfRlNTEy688MI1+ZvPz8+HxWJBW1sbduzYAQ6HAw6HA5VKBZVKBZqmEQ6H4fP5YLVaSYaFUqmEQqGASCRak5+b5dQTCARgtVoRDAah0+lQWVlJGmowcwxmgcp0DprpNtfzmG3N9BoAREhibAJmEp0WuzgOBAKkY7RMJgNFUZBKpcjLy8PRo0dRVlaGb3zjGxgfHwcAbNy4Effcc8+s58/Y2BiGh4dhNptRWFi4qPPM6/XC7XaDw+HAaDQuymtqudFoNJiYmIBSqYTT6STjyPnnn4/nn38egUAA7e3txJdo+udmvlem++BCUalU8Hg8J4lREomEeFUtNLDAlO2NjY2hq6trRbrtRaNRHDp0CDweD9u3bwefzycdc30+H84999wV6/A3/dxKpVIZ/6bTafB4PBiNRgSDQYyNjSEWi6GkpARcLvek505/PU3TpHScycJdqc7nLCwsp44lrRheeOEFvPjii0in08jPz8f3vvc95OXlLde+saxRlqtED5jK5BCJRIjFYqumNe7pIicnB0KhEDabDQUFBeQifMUVV+BXv/oVAoEA/va3v+GOO+5Ysba5HA6HTBpGR0fR0dGBmpqaRZdQajQaTE5OkrbNLMtPJBJBZ2cnyYbi8/kIBAK45557iP/Xl770JXzjG98gr6FpGkNDQyTDxWq1oqKiIkMQHh8fJ1l6hYWFOHz4MJRK5RlxDWBKLtra2jA8PIza2toZF3533HEH3nrrLfh8Prz00kv43Oc+h+LiYgwMDGB0dDTrEo/VBEVRqK+vx3vvvYfh4WHSUXH641KplCyq4/E46c5nsVjA4XAgk8kgk8kgl8shFotZcYqFQNM0/H4/8SLT6XQoKiqCQCCAUqkkXkprGZqmYbfb0d/fj3g8DpFIBKFQiMLCQiiVSvT19YGiKPzP//wPKaHOzc3Fo48+OmtQbnJyEn19fcjLy0NpaemizqlkMomRkRFyjhoMhiV9zuWCKYtjOn0mk0nweDx89rOfxfPPPw8AePPNN1FeXo5gMEgyeYEp4YfD4ZAmSAtFpVJhYmKCvOd0dDod6a660O+by+WuWNleOBzGhx9+CKFQiG3btpH9Pnz4MGw2G/bs2ZPRnGShJBIJjI2NYXR0FJFIZEbB6URBlwlaMP+XSCQwGo0YHR2F0+mEWCxGSUkJ+Hz+Sc+d/m8ikYDP54PT6cTo6CgkEgkRpthrCQvL2mRRYlQwGMSDDz6I48ePAwC2b9+O66677ozOXGH5F4wYxefzsX379iVtKxKJQCaTIRaLneQFcKbBRCqHhobgdDpJCr5KpcIFF1yA5557DvF4HM8++yxuuOGGFdsPiqJgNpvB5XIxODhIBKnFnP8cDod01lOpVOxEYhlhutz19fWBpmni5SMWi3HttdciFAoBAM477zz89Kc/Jd89TdMYGxsjZSOTk5MoLy/P8NtgMvRCoRB27doFq9UKn8+Hbdu2nTHHkDEzt1qtcDqdM5Yja7Va0nwDAPbt24d//OMfGB0dxZEjR1BQULAmSw4kEgkpDzYYDHN6sQgEAuh0Ouh0OqTTaYTDYQSDQWJiC0wZEjPilEQiWZPfCcvSoGkaXq8XVqsV8Xgcer0epaWl6y7LMpVKYXBwEOPj40ilUpBKpTCbzTAYDOR3Pzo6ira2NtJwRyAQ4NFHH5217M7lcqGzsxNarRaVlZWLOn+YLqHJZBJ8Ph9FRUWraizXarXo7+/PyEbavXs3NBoNXC4X3nzzTdx0001wu90ZYhST1caUdy4UoVAIsVgMn893koCjVqsxPj5OSgcXw3KX7YVCIXz44YeQSCTYsmULOX9aW1sxPDyM7du3L1pkjEQiJNs1lUpBo9GAz+fDYDBAIBDMKCJNL3k9kZKSEshkMnR1dcHhcCAvL29eQY7P5xMhixGmmCxcHo8HlUrF+hYugHQ6jWAwiFAodMavsVhOHws+U/v7+3HLLbfg+PHj4HA4uOqqq/Cd73yHFaJYAADDw8MYHR0FAJx11llLHtyi0SikUikrRv0/dDodOBwOJicnM1rLf/nLXyYX8N///vfEy2KloCgK+fn5KC8vRyAQQFtbG/G0WCharZZkT7AsD+FwGMeOHUNnZyeEQiGUSiUKCwtRVFSEb3zjG7BarQCA2tpaPPzwwxkLPqvVCq/XC41GA4vFgtLS0gwz8nQ6jdHRUeLBIZfL0dvbC5PJdMpbf59uzGYz+Hw+hoaGZu0yefnll2Pr1q0AgJGREfz3f/83ampq4Pf70dvbeyp3d1kpKiqCTCZDa2tr1pkq0zMuysrKsGHDBlRUVJCMl4GBAbS0tKCnpwcTExPw+/0rPpaxnF7S6TQRU8bGxqDRaFBfXw+DwbDuhKhIJIK2tjYMDQ0hkUjAZDJh48aNyMvLIwvnZDKJY8eO4emnnyavu/vuu2ctv/f5fGhtbYVSqURtbS24XO6i9s3j8cDlcoGm6VUpAkqlUgiFQvB4PDidTtA0DR6Ph09/+tMApuaKzc3N8Hg8GXMjYEpQikaji37v2brqcTgcaLXaWTurZsuJ3fYWm8Xl9/tx6NAhyGSyDCGqr68PnZ2daGxsXHA2Lk3T8Pl86Ovrw/HjxzE2NgatVouzzz4bH/vYxyAUCklQQSaTQSKRQCgUkgynuYQlLpeLmpoalJSUIBqNorOzE3a7Pet94/P50Gq1KC0txYYNG1BYWIh0Oo3h4WG0trZicHAQLpdrWTpArxcYf0eLxYKenh60tLRgZGQEkUgEra2tsNvtaz7zlGXtsSAx6p///CfuuOMOUrN9++23kwvBbPj9/hXN0mBZXUwv0VuqX1QymUQikYBUKiX/nukIBAIYDAaEQqGMyVF9fT2ZrI6Pj+Ott95a8X2hKAp5eXmoqqoiF7LFtE9mvKOsVit7EVwiTFbTwYMH4fF4oFAooNVqUVdXB71ej2984xvo7OwEABgMBjz11FMZfkculws2mw25ubmYnJxESUlJRpQZABwOB2mjXVtbi4GBAaRSKVRUVJy6D7pKEAqFKCoqIn5ZM8HhcHDvvfeShcHDDz9Mou3Nzc1rdqJMURQaGhrg9XqJp81itiGRSJCbm4vS0lI0NDSgpqYGGo0G8XgcIyMjOH78OLq7uzE+Pg6v17tmvy+WTNLpNBwOBzo6OjA5OQm9Xo+6ujrk5uauy4wGt9uNI0eOYGxsDCKRCGeddRaqqqpOCuS2tLTg8ccfRyKRAAB85StfwRVXXDHjNsPhMI4fPw6RSISGhoZFC0jxeBzDw8OgaXrVdkJljMxjsRhisRiZa1x88cXkOf/85z9JZ8LpyGQy8n0uBpVKBZ/PN6MwrtVq4fP5EI/HF7194F9le/n5+RgYGMDExMSC5kMejwdNTU1QKpXYvHkz+S2MjIzg2LFjqKmpQWVlZdbbY87Pzs5ODA4OIhwOk87KdXV1EIlEEIlEKC8vh8FgwMDAAEZGRhYcPODz+WhoaEBeXh58Ph9aWloW5e/F4XCgVCphNptRX19PbAXsdjtaW1vR09MDq9WKaDR6Rs0zGdN/i8WC3t5etLS0YHh4GLFYDBqNBjU1NairqyOC3uTkJEZHR08SdFlYVpKsr/i/+tWv8MQTTyCZTKK8vBz33nsvamtr530dM6CxnBkcOHCA/H/Pnj1L2lYkEkE6nYZAIABN02xm1P9Dr9cDAGw2G/kbRVH4j//4D3KfSe8/VftTW1uLWCyG48ePk/KvhaDT6RCNRhdtMsoydb4cOXIE7e3tEAqFUKvVKC8vJ5OyH/3oR3j77bcBTEWZn3rqqYyyD6/Xi9HRUSJEnWiqStM0bDYbRkdHEQwGUVVVhUQigZGREZSXl5+x3S71ej0UCgXGxsZm/e1XVFTg+uuvBzDlt3Hbbbdh06ZNiEajaGtrO5W7u6zI5XKUlJSgq6sLsVhsydujKAoikQharRbFxcWor68nAkUqlcLExASOHz+Ozs5OjI6Owu12L3kRyHJqSaVSsFqtaG9vh8PhgMlkQm1tLbRa7boUodLpNIaGhvDhhx/C7XajtLQUu3btgkajOSlrJBqN4rvf/S65Du7YsQN33HHHjNuNxWJoaWkBRVFobGxc9PjLlOdFIhHk5uaumN/kcsD4RonFYjidTgDA5s2byXXswIED4HA4JFjCoFQqkUqlFp29zXh6zZSxJBQKoVAoyP4sFY1Gg6qqKni9XvT29s47vtE0jYmJCRw9ehRqtRqbNm0i2XE2mw0fffQRiouL0dDQkNX7JxIJ0qDC4XBALpeDx+NBKBSitrYWer0+43fLiIQ1NTWIxWLo7OxccGYXI84yWWYtLS1LGteZIEdeXh6qq6tRV1eHnJwcBINBdHZ2oqOjA2NjYwgEAutOmGLK7iYnJ4n4NDQ0hGg0CrVajZqaGtTX16O4uBharTajoYhSqUR1dTXC4XBWvz0WluUi6zAKY6LI5XKRm5uLZ599NqvXsT/mM4dUKoWDBw8CABQKBerr65e0vVAoBIqiQNM06WTDMiUkaDQaOJ1OhMNh4tdy0UUX4ec//zlsNhveeecdDA0Nzdh2fiXQaDRoaGhAW1sbjh8/joaGhgW1DOZyuSQ7ajV071lLMN5Q3d3doGkaKpUKBoMB+fn5xOT+0UcfxZNPPglgKoL48MMPo66ujmwjGAxiaGgIOp0ONpsNhYWFGYbyNE1jdHQUHo8HsVgMcrkcBQUFaG5uhkQiQUFBwSn9zKsJDoeD4uJi4slRU1MzY2nCjTfeiJdffhnDw8NoamrCkSNHoFQql9wE4HRTVlZGxIVNmzYtu8+MQCBATk4OcnJyAEwtloLBIILBIGw2G4aGhiAUCokpukwmg1AoXFV+NyxTmc52ux12ux0ikYiYda/n4xSPx3H8+HGMj49DLpdjx44dszbqaGtrw759+zAwMABgqmvlI488MmO3sGQyiePHjyMejy/ZDsHpdMJqtZJS7tV8PDgcDjQaDYLBIDweD/Hc++xnP4v//u//RjKZRFNTExobG5FKpYgow8wpfD7for4riqJIqd5Mx0+n02FkZCTD92spMGV7o6Oj6OrqQnFx8YzzolQqhZ6eHoyPj8NkMqGyspJ8Zo/Hg/feew8GgyGrDsvhcBh2ux1utxsKhQJmsxl+vx8ulwt5eXnIzc2d87chFApRXl4Op9OJgYEB5OTkID8/P+uyUblcjq1bt+LAgQMYHR2FTCbDhg0bluX7nO5bmEqlEAgE4PV6MTg4SPw0mW6va22dwfgwBgIBcl3kcDiQy+VQq9UoLCxc0PVQIBCgsrISIyMj6O7uJr5eLCwryYLO8oqKClRWVsLj8cDhcGR1c7lcK7XvLKuM1tZWUjq2c+fORXsXMIRCIXA4HCSTyVOyUEsmk3C73WsiUmI0GklHHgahUIh///d/J/ene06cClQqFTZs2ACapheVaq3T6chFlSU7mGyotrY2CAQC6PV61NTUoLi4mCxiXnvtNdx1113kNfv378fHPvYxcj8ajWJgYIAInPn5+RlGrclkEv39/fB6vfD5fIhGo9i4cSNcLhecTieqq6vXZUbDQlCpVDAajXC5XCdF5RnEYjHuvvtucv+nP/0pyS47fPjwqdrVZYfD4aChoQF2uz0jW3Ol4PP5UKvVKCgoQHV1NRobG0l3UcZ7qK2tDYODg7BYLEsqz2FZOvF4HOPj42hra0MwGERJSQkqKyvXfcMKp9OJt99+G+Pj4yguLsbevXtnFDLsdjtuuukmnH/++WhpaQEwlSny+OOPEwF2OqlUCm1tbQgEAmhsbDypjDpbaJqG1WpFf38/+Hw+ysvLlzxnOxUw8wQOhwOPxwMgs1Tv1VdfhVAozLAxYL6jpfhSMqV6M5UvKRQKcDicGX2lFguXy0VxcfGsZXvRaBRHjhzBxMQEampqUFNTQ4SUYDCId955B0qlErt37571+sw0Dejt7UVPTw8oikJ1dTUMBgPGx8cRDodRXV19UjbUbCw1SyonJwdbt24Fn89Hd3c3hoaGsn5ttnC5XKhUKhQVFaGhoQFlZWUQCASwWq1obW1Fb28vbDbbsmT6rgQ0TSMUCsFqtRIfr4GBAYTDYSiVSlRVVaGhoQElJSXQ6XQZmU/ZwnQL1uv16OvrY9fxLCvOgiTgm2++OaNsIxu8Xm9Gy3CW9ct0v6i9e/cueXvBYBA8Hg+JRGLFxahkMom+vj5Eo1HYbDaYzeY5O0SdblQqFaRSKSwWC/Lz88kk5Oqrr8ajjz6KRCKB559/Hj/4wQ9OaXmjQqHAhg0b0NraiubmZmzYsCHrMYPH45FWyYudYK93aJpGJBKBw+GAzWaD2+0mUduCggLk5eVlLChaW1tx/fXXkwn0N77xDVx99dXk8Xg8jr6+Psjlcng8HhiNxoyucLFYDAMDA4jH47Db7ZBKpdixYwe4XC6am5uh1+tnXDCdiRQWFsLhcGBwcBBKpXLGCOuePXtw6aWX4qWXXoLf78fDDz+MCy64AAMDA2hsbFyzEUiVSgWz2YyOjg7SYelUweVySWQbmIoUh0IhhEIh2Gw2TExMQCaTQa1WQ61Wr7nI91olFovBarXC5XJBqVSivLx8zf6+F0IqlUJXVxf6+vogFotJ97KZSvJ+97vf4Te/+U1G+VhxcTF+8YtfZGSuMqTTaXR1dcHlcmHDhg2LbhjBmDzbbDZwOByUl5evGRsEkUgEuVyOZDIJl8sFjUaDuro6lJSUYHBwEB9++CEJLDJBFalUCoqiFm0MDoB0+QwEAifNaSiKglarhdPpXPbr4fRue6FQCEVFRQgGg2htbQWHw8HWrVsz9icSieD//u//IBQKsXfv3hmFKKZpgN1uRyqVgk6nQ0lJCTgcDiYmJuB0OrPKhpoNJkvK4XCQQJfJZMpK7DQajTjrrLPw0Ucf4ejRo1AoFDN2ql0OKIoi2bQmkwmxWAw+nw9erxcTExOkBJMxYz+xW+CJ/2duywlN0xkdaJmukHK5HAqFAiaTCWKxeNmFfYqioNfrIRaLiWeYyWQ64wOPLCtD1rOyxdbzM90mWNY/y+kXBUyJUUwXlJXs1phMJtHb2wuBQIDi4mK4XC709PQgNzcXRqNxVQ6+TDe77u5uuFwu4iOVn5+Pc889F6+//jq8Xi9efvnlWc1PVwqZTIbGxsYMQWq20oQT0ev1aGtrQygUWpUmqqcDpvuJzWaD3W4nkxGxWAy5XA6lUoni4uKTvq+JiQlcddVVZKFzwQUX4PbbbyePMxlPIpEIgUAAOp2O/I6AqfNvYGAAyWQSNpsNJpMJ9fX14HA4GBwcRDQaxebNm9d1dsNCYMzMe3t7YbFYUFhYOOPz7rjjDrz11lvw+Xx46aWXcOGFF4KmaRw8eBCf+MQnVmz/aJpGKpVCIpFALBYDn8+HWCxetvGtoqICNpsNXV1dWfuTrARMiYJCoYDRaEROTg7cbjdcLhfGxsZI+YJKpWKFqRWAaf/u8XigVqtRVVW1qgM7y4nH40FzczP8fj+MRiPq6+tPGpdpmsarr76KO+64g3Q1BaYCOd/+9rfxla98ZUb/J5qmMTAwAIvFgrq6ukUv0JkAg8fjgUQiQVlZ2ZoL/jBlcdFolMwPP/vZz+KBBx4gY+nWrVuRSCTA5/Mhk8lAUdSSsq4pioJarYbX650xwKbVamGxWBCJRJZd2GPK9kZGRnDw4EGEQiEYDAbU19dn/Fai0SjeeecdAMC55557UlAgHo+TqhWmGY5arQaHw0EwGMTw8DB4PB6qq6uXPOemKAq5ublQKpUYGRlBZ2cnzGbzvDYMFEWhpKQEoVAIx48fxwcffIBPfOITp2QMEQqFyM3NJR6FPp8PwWAQkUgEqVQK6XSa3E68P33/sxGt5rpPUVRG6R0wNa+Wy+XIy8tbEfFpNhQKBaqqqjA4OIj+/n6UlJSw102WZSfrX9Rvf/vbRb2BQqFY9GtZ1g7hcBhHjhwBMCWILLR97EwwF/VoNLrgjLxsSSQS6Ovrg0AggEAgQHt7OykBcTgc8Hg8MJvNq3KyxmQgjI+PZ0SwvvzlL+P1118HADz55JO4/PLLT7lgIJFIiCDV0tJCIq8CgYC0/Z1pn5jsqMnJSZSVlZ3SfV5NMFFfq9UKp9OJaDQKLpcLkUgEhUJBRCjmduJ3GQwG8R//8R/EVHXjxo148MEHifCQTqcxODgIDoeDSCQCjUaTYWbudrsxNDSEeDwOj8eDmpoaFBUVAZg6LwcGBlBSUnLGLDKzxWAwEJN3nU4346JEq9XiRz/6EW6++WYAwF133YU777wTExMTJNI/H8xkOJFIEHGJucXjcXJLJBJIJpOIx+NIJpNIp9OgaRocDoe0RpdIJJDJZFAoFFAqlZDL5RAIBAseM3g8Hurr69HU1IS8vLxVE4Riylf1ej1isRixGRgdHYVCoSDC1FooUVrNMKUjPp+PdGlaySDSaiKRSGBgYAADAwOk1Km0tPSkRVt7eztuueUWUo4HTImnX/jCF/CDH/xgznN/dHQUQ0NDqKioQF5e3qL2MxAIoLe3F5FIBFqtFiUlJWuy8YRKpcLY2Bi4XC5cLhdMJhMuvvhiPPDAAwCAv/3tbzjvvPPgdruh1+vB4/HA5/PJwn6xKJVKDA0NzeitxePxoFar4XA4Zg1ELAWaphEIBBAIBCAWi6HX6zPEpkQigffffx/RaBQf+9jHMq494XAYNpuNdNhluuRSFIV0Oo2xsbEFZ0MxwY35WEyWFEVRqK2tRSgUQm9vLz744AOce+65p1QE4XK5GV6Fc0HT9Kwi1Wz3U6kU4vF4xmPTH2euy0ajERKJ5LQG/UQiESorKzE8PIyuri6Ulpaycz+WZYWVN1mWhY8++oh4c5x99tnLss1IJAKVSoVgMLgiKeSJRAK9vb0Qi8UQCoXo7+8nHVM8Hg9ZlPX19ZEL6GqKCPB4POTn52NwcBA+n4+k7J999tkoLy9HX18f2tra0NzcjE2bNp3y/ROJRGhsbERbWxsGBgbIAphZBIvFYkilUtKphhGqNBoNurq6MszZzwSY8jur1Qq3241EIkFEUq1Wi5ycHGKyOZchZTKZxFe/+lX09vYCAAoKCvDEE0+Qc4imaQwPDyORSCCdTkOpVMJkMpFmAVarFRMTEwgGg4jH49i2bRtZJCWTSXR1dUEgEBBxiuVfcDgclJSUkA421dXVMx6nyy+/HM8//zyampowMjKCI0eOID8/H++//z62bduGRCJxkqjE/JtIJDImuBRFgcvlkgUXn8+HQCAgwuX0c0skEpFmEPF4HH6/Hz6fD36/H2NjY+jt7UU6nYZQKIRUKoVMJoNSqSRlwfMJNlqtFiaTCW1tbdizZ8+qE3iEQiEMBgMMBgOi0Sg8Hg9sNhtGRkagVCqhVquhVCpX3X6vZgKBAKxWK4LBILRaLerq6takwLEYaJqGw+FAX18ffD4fJBIJqqqqTirLczgcuOOOO/DKK69k+P7s3LkTd955J2pqauZ8n8nJSfT09KC4uHhRgT6apuF0OtHf3490Og2z2bymS26ml8UxBttlZWWora1FR0cHmpubEQwGkU6nSbavRCKB3+9Ha2sr6urqFvXZmaBkMBicMUCZm5uLvr6+rEvSsiUUCqGlpQWRSATbtm2DTCbD0NAQwuEwioqKEI/HcfToUfh8PpxzzjlQKBSgaRo+nw92ux2hUGhGgXgx2VA0TeOll17C3XffDZqm8ZOf/AQXXXTRnK9hsqQUCgVGRkbQ1dU1b5CXy+Vi8+bNCIVCpFvg1q1bV2UmNnMN5nK5p7RE/VTC5XJRUlICq9WKnp4emM1m1qKBZdlYPStrljXN9BK95fCLSqfTiMfjkMvlcLlcyy5KMF45EokEIpEInZ2dUCqVyMnJQSKRQCgUQjKZRDgcBp/Ph9vthtfrhdlsXrRPw0qQm5uLoaEhTE5Okv3icDi44oor8NOf/hQA8NRTT50WMQqYykpobGxEKBQimRvRaBThcJjUwVMURYQQhmg0iqamJuTn50MoFGYsqIVC4ZqdRE+Hpmn4/X5YrVbYbDZirsqIBiaTCTk5OVAoFJBKpVl9Zpqmceutt+L9998HMBXJ/f3vf09KOpjOe4FAABwOBzKZjER50+k0RkdHYbfb4fV6IRKJsGfPHjJBjcfjaG9vh8fjQUNDw6oSZlcTSqUSeXl5sFgsMBgMM07YOBwO7r33XnziE59AIpHA7373O/znf/4n3G433njjDZKuz4hLIpEIIpGIREuZlH2RSAQejwcul7vgSbpYLCYRdgbGb8nr9cLv9yMQCMButyMWi4GiKCIgy+VyqFQqKJXKkwxSa2pq8O6776Knp2feRfbpRCQSwWg0wmg0IhqNwu12Y3Jy8iRhaj2MNcvN9LErEolAp9OhqKhoRRdi6XQayWRyxba/UEKhEEZGRuBwOBCNRqHValFdXZ2xwI7FYvj1r3+NRx55JMMXymw248c//jE++clPznveut1utLW1wWQyoaysbMHnOTOuj42NkU5Z62ERqdVqMTk5CQ6HQ4JxF198MTo6OgAA7777Ls455xxSxqfT6SCTydDd3Y3JyUns3r17wVYAFEVBqVTC6/XOKKRIJBIIhUK43e5l8zmy2+1obW2FRCLBjh07yD5XVVVhaGgIBw4cgN/vB4fDwbZt26BWq0nXynQ6jdzc3JNKq9Lp9KK8oYaHh3HrrbdmzPevvfZavP766/jZz342bwmeSCRCRUUFHA4H+vv7582S4vP52L17N1577TX09PRArVajoqIim6+NZQWgKApGoxFisRjDw8OIRCLIy8tblQIhy9qCotdC67B1gsViWbZtMYPC5OTkquj+9vGPfxxdXV2gKAptbW1ZewTNRiQSwV//+lfs3LkTLS0t2Lt377KZn8bjcfT29kIqlUIsFqOtrQ0ajQbJZBKRSAQCgQC5ubmIxWJIJpMQi8UIh8OIRqNIJpPQ6/Uwm83LMvFejuPY3d0Nm82Gbdu2EeHA7/djy5YtxHfryJEjq24CyqR5R6NRxONxIlZFIhEEAgFYLBYolUoSZWeyqjgcDlmYi0SiDJGKySQ6HRfHbI4lY6zKCFBMVyCBQAClUgmdTgeVSkVMMxfKb3/7W/z85z8HMJU598wzz2DXrl3kcavVCqvVCi6XC4lEgpKSElAUhWQyicHBQeKtYzQaMwSnaDSK1tZWBINB1NfXr5ih6GphqedlLBbDkSNHIBQKsXHjxlkn2/fddx9+/etfAwC2bNmCO+64A5FIBMlkkpTYTf8/kxHF7COTEcXcmKyo6eWwTCaUQCAg/zJ/O9F4dTbhJZFIZGRRBYNBItjzeDySRaVQKKBSqRAKhdDW1oZdu3atWIn1fCzmGNI0TYQpj8eDRCIBlUoFtVpNOmadSdA0jUQiQbx5pt9omkZubi50Ot2yC9NMu/JgMEh+b+FwmHilMOWVTPbyqSSZTGJiYoKItLFYDEajkXTlAqa+tz//+c/Yv39/RodJmUyGm266CV/96lezasri8/lw+PBhaDSaRbW5Z7K/HQ4HWcivBqPy5Zq/DgwMIBgMQiaTobS0FOPj49i2bRsAoLKyEo8++ijEYjHy8vLQ3NyMdDqN0tJSUs62adMmlJSULOg9vV4vxsbGUFdXN+M8w+l0wm63z5oVmy00TaO/vx8DAwPIy8vL6JZH0zRcLheOHTsGt9sNsVhM/KOcTifxPmL8oKYzPRuqqKgoq2woJmDywAMPIBqNzvgck8mEBx98ENu3b8/q80WjUYyMjCCRSMybJeXz+fDPf/4T8XgcH/vYx6DRaEgQhmV5WOg5ydg1iEQiFBUVscHJVcRy6wOLLQtfCOyvh2XJ2O12dHV1AZiKii9ViAKmoo5MxgyAZZtAMUKUTCaDSCRCS0sL8RKJxWIwm82kI5ZEIkFubi6i0Sh4PB4MBgMpZ5mcnERFRcWiu40sJ3l5eZicnITdbideBQqFAhdeeCGee+45xGIxPPvss/jmN795WvfzRCiKAo/Hm1VkZDyLmOMTj8cRjUYRiUQQDofhcrkyfiPMoMuUAIpEopMW68wE5sT7K3kMmfK7yclJOJ1OxONxku1SXFwMnU4HpVK5ZFPKv/71r7j77rvJ/V/84hcZQpTL5YLFYsl4b4qiEI1G0dvbS7JhqqqqMvy6wuEwWlpaEI/HsXHjxmU5v9c7QqEQxcXF6OnpweTkJPLz82d83o033oiXX34Zw8PDOHz4MLq6uvCFL3xhzm0nEglyDkQikQyBgCnrCwaDSKVSoGn6pPODEXVngjmfsrkxhquJRAIulws2m42IZ8DUov3ll1+GRqMh4nFeXt6y+AmuFEz2l8lkQl5eHiKRCDweD8bGxpBKpUj2rFwuX1fCFE3TJGv1xFsqlYJAICDl7Gq1GmKxmHQXW8p7MkIXk4XHiE6RSCTD34zJ3GQCQjabjZSoikSiDM8zmUw2py/hUvbX7XZjfHwcAMg+VlRUID8/n7zXsWPH8MMf/hBtbW3ktRRF4YorrsAPfvAD5ObmZvV+4XAYx44dg0KhII0jFkIoFEJXVxeCwSDy8/NRXFy87hbvOp0OXq8XXq8XiUQC+fn52Lx5M44cOYKenh6SVc9kc9jtdigUCpx//vk4duwYDh8+jLGxMezYsSNrUVOhUJDA5UwZ+zk5ObBYLMRbajGL9EQigdbWVjidTtTU1KCgoID8vmKxGNra2jAyMgKJRIJzzjkHSqUSo6OjoGkapaWlxLB9OovNhjp69ChuueUWMscHpuacP//5z8HlcvHNb34TgUAAExMTuOyyy3Ddddfh5ptvnldsXUiWlFKpxHnnnYfXXnsNb7/9NslAm36uTw/CMIGX6UGaUzHXO5NgTPWHhobQ09OD0tLSM8YjkGX5YTOjTiHrNTPqpZdewo033ggA+OY3v4nbbrttydscGhrCsWPHsHXrVnR2duKTn/zkkrcZi8VIG3s+n4+WlhaYTCaEw2Ekk0nU1NRAo9GApml4vV4MDQ3BZrNBKpVCq9UiHo9DIpFAoVBgcnISNpsNarUaNTU1izY4X47jSNM0WlpaEA6HsX37dnIx7+joIN25CgoK8MEHH6ypyWgsFkNHR8eMRrjMQma6cTOzmIpEIojFYhnPnQ6zyGEW6hRFkcnKdM8d5v/MYycKWScuDphjabFY4PP5YLVaMTk5Ca/XC5qmIRAIoFKpkJeXR6L6y3U8jh49is997nPkc3/729/G97//ffK4z+fDwMAAeDweRCIRysrKSJvqvr4+kgWyadOmjMWS3+9HS0sLKIrCxo0bz4jW7MDynJfpdJqcl5s3b551onbgwAFceeWVAKYWOgcOHFhy5hlN0ySjarrXFHOLRqMZXYCYfxkBa/pt+vnCPHem5zCPMSassViMlI8wZbg0TcNsNuPss89e8Ujqcl4jmfbaTMZUOp2GWq0m5/FaWeAwx+VEEZMZN5hy0BNvCxVCmKzXEz3PIpEIEZzC4TDxrWO8VqaPq6lUChRFkbEdmCr7jsViZKzmcDjkd8QY9TNCKSNSMQvWE0u9FzL2RiIRjI6OIhaLQSAQYHJyEiKRCNXV1aQ83mKx4Pbbb8frr7+e8Xvbvn077rzzTtTV1WX9frFYDB999BG4XC62bt264CxZp9OJ7u5u0DSN8vJy6PX6VfUbXa5zk6ZpdHZ2IhaLIS8vDwaDAU888QTpGnvDDTfg/PPPR3l5ORKJBJqamsDhcFBWVobCwkLY7XYcOnQIwNRxmt7EYy4GBwchFAphMplmfDyRSGBkZIR4Os1XvjadQCCAo0ePgqZpbNy4kfy+mHLL1tZWJBIJVFZWoqqqKqtxdDHZUIFAAPfccw+eeuopcow4HA6uueYa/OAHPyDm2ocPH8ZNN91EvkcAqK2txW9+8xtUVlZm9ZmzzZIaHh5Ga2srqVpg5lXTBagTLR8AkLne9NL3mQQsPp8PmqYzMvVjsVhGeXw23olrkcWekzRNE5GzuLj4tGVCs/yLtZgZxYpRp5D1KkZ9+9vfxp/+9CcAwPPPP5+RjbEYwuEwmpqaEAwGUVNTg5GREZx77rlL2mYsFkNvby8xpz1+/DhMJhNCoRBomkZ1dfWMZWyhUAgDAwOYmJiASCSCWq0mCxGZTIaBgQG4XC4UFBSgoqJiwZGB5TqODocDra2tqK+vzxATLr74Yhw+fBjAlHfUxz/+8UW/x+lgaGgIHA5nwdkUzMKEWRgzN8Z3hPmXWbAzN+Y+89zpotX0BflMptF8Ph9isRj9/f2k/E4ikRDDZJVKlVVpxkIZHR3FBRdcAI/HAwC49NJL8eCDD5LFB9ORhsPhkM42TBei/v5+eDweiEQibNmyJcNDw+124/jx48SIfjWUd5wqluu89Pl8aG5uhsFgQGVl5awLwhtvvBEvvfQSAECv1+PjH/849u7di927dy9oIbPaGBsbQ3t7O3bv3g0+n4/33nsP4+PjkMvlOOecc1a03HOlrpE0TSMUCsHj8cDj8YCmaahUKuTk5MyYkXCqYYTImbKc4vE4EWpEIhHJdmKaSGS770wm1XShaSbDfWYMZcbhZDI5o6DPLCJTqRRCoRBCoRAZo2maJhlpGo0GQ0ND8Hg8SKVSJNOB+SxMti2HwyFiGEVRZKE6vZsoU7J6olDFLFCZbTBZxxqNBsFgEFarFVqtFlVVVRAKhQiFQvjFL36BP/zhDxm+UAUFBbj99ttx4YUXLug3kUwmcfjwYcRiMWzbtm1B4y5N0xgbG8PAwACkUulJHlarheU8N+12O8bGxiAUClFbWwun04lNmzYRo/Y//vGP4PF4KCgoIOXoQ0ND4PF4KC0thcFgQFNTEywWC0pKSnDWWWfNKzYwpfZzeeIxpvHj4+PQ6XTIy8ubV9S1WCxob2+HSqXChg0byHzB7/fj6NGjcDgcMBgM2LRpU1aBoXQ6DYvFAofDkXU2FE3T+Mc//oEf/ehHsFqt5O91dXW47777sGHDBgCZxzCZTOJ3v/sd7rvvPtLISCgU4oc//CGuueaarP0uHQ4HJiYm5sySYsaIQCAAl8sFp9OZIWyLxWLSIZXxNGTmgyfepgvzzPyPpukMM/Lp4yPzOZiydOa2HkrUlnpOut1ujIyMkPnu6b4OnsmwYhTLnKxHMYqmaWzevBlWqxVCoRBdXV1LWnDHYjE0NzcjHA6Tgd7n82HHjh2L3mY0GkVfXx9UKhXS6TQ6OjqIEAVMlRbOZ0oejUbR39+P8fFx8Hg84h9iMBjA4/FIu2Sz2YzCwsKsDdeX6zim02l8+OGHEAqF2LRpE7kQvPDCC7jpppsAAOeddx5+//vfL/o9TgfRaBSdnZ2nvEPT9AyPE8UsRrhiFl3MRMfv9yMajZJypNzc3BVfnPp8Pnz605/G4OAggKno7jPPPEPOwWg0SiLkQqEQFRUV4HK5pIzA6/UiNzcXmzZtyphQ2Ww2tLe3Q6lUoqGh4YzpjsWwnONrb28vLBYLGhsbZx1nnE4n9uzZQ0zsGbhcLjZu3IjzzjsP55577qK7QJ0uaJrGRx99hHQ6Tcbwrq4uHD16FADQ2NiI2traFflMp+IaSdM0gsEgEaYYg+MTy0GY/y/33xim+zpFIhFSWjdTlhMj/CwWn8+HsbExxOPxDI8+JhsqmUySjAKmlJMps2MEeiZow3iRMZmZiUQCHA4HCoUCWq2W3JiSO+Z4plIpuFwuOBwOuFwueDwe4l/G4XAglUqJsM68LzC1kGUeF4vF4PP54HK5ZAxnBDYm44IZN3NycjA8PIxAIJDR0e7pp5/Ggw8+mOELJZFIcOONN+LrX//6rMGp6ZmL0zMYY7EY7HY7AoEAtm/fviCD7WQyiZ6eHlitVuj1elRUVKzacXs5z81kMonW1lakUilUV1dDJpPhyiuvJCbbzz77LBQKBRoaGsjvPplMYmBggGQLlZaWIplMoqWlBWKxGLt3754zwyOVSuH48eMzZm2fSDQaxdDQEGiaRnFx8YziYjqdRnd3N0ZGRlBSUoLy8nIihnZ2dqK3txcCgQAbN26cteT7RBaTDTUxMUGy+xjEYjFuvvlmfO1rX8uYI8x0DNvb23HjjTeSTr4AsGfPHvzyl7/MOutsIV5SwL98/kKhENxuN2kGwwQVmdJijUZD5u2RSAShUAjxeDzDf1QoFILH42Vk3kciEbjdbvj9fiKmM2WCTIdosVicIU6t1vNuLpbjnAyHw0QIN5vN6zKDbC3AilEsc7Iexai+vj7s/X/d83bt2oXnn39+0dtKJBJoaWlBKBRCcXEx8Y5gSoQWA+OHo1KpkEgk0NfXB71ej0gkAg6Hg+rq6gWllcZiMZIpBYAYaBcWFiIcDmN0dBQcDgd5eXkwGo3zRq+W8ziOj4+jp6cHW7duJRfwRCKBLVu2wOFwgKIovP/++ygqKlrS+5xqBgcHwePxiB/WasRut8NisWDnzp2IRCKn5JyMx+O44oor8NFHHwEASkpK8MorrxBPp0Qige7ubsTjcQiFQlRWVoLL5WJ4eBgjIyMIBoMoKytDZWUlWawx3fZ6enqg0+lQW1u7LqJ+C2U5z8tYLIbDhw9DLBZj48aNswov7e3t+PnPf45Dhw4hHo/P+By1Wo1zzjkH5557Lvbu3QutVrukfTsVRCIRvPPOO6iuriZjj8vlwttvv41gMAij0Yizzz572TumnuprJE3TCAQC8Pv9pGxx+vtO9+zK5m8Lec30jovMbbkXAvF4HGNjYwgEAsjJyQGXy0U4HEYgECDX0+n+ZIynC5N9BUxdjx0OB5xOJ8lGiEaj5HWM2O/xeOByuU66cTgcFBcXo7y8PONmMBjg8XjgcDjgcDiIOMVkNygUClJOyfhgTS/nUSgUUCgUpAyHKQ9kfKq6u7vJfEGj0eCdd97Bz3/+c3R2dmZ8R5dddhm+9a1vQalUZpT5nJgxxjQjmC4KMg0EBAIB6uvrFzQviUQiaG9vh9/vR1lZGQoKCla1aL3c5ybT1VCr1aKoqAjPPvssvve97wEAvva1r+Hf//3fYTabT/pOTxSl8vPzMTQ0BL/fj7q6ujkzn/r7+yGTyWAwGObdv3Q6TTLsTCYTdDpdhgdUc3Mz/H4/NmzYAL1eD5qmYbfbceTIEYTDYZSWlmbdwXZ6NpTRaMyqRDOVSuHJJ5/EvffeS4K0wFQA8+c//zkKCgpOes1sxzASieDuu+/G448/Tv6mUqlw77334tOf/vS8+w+AfH6LxQKtVou8vLwFjWeJRAJutxt2ux1WqxVer5dkajLjQW5uLjkW2XyvqVQKwWAQTqcTbrcbPp8PyWSSZMQz5cyMADZdnFpI1unpIpVKIT8/H1ardUnnZCKRwODgIFKpFEpLS1ekGoBlblgximVO1qMY9fjjj+PHP/4xAOC2225btEl2NBpFc3MzXC4XDAYDOBwOdDodxsbGoFarUV1dvahtMkJUOBwm22I8J6qrqxddAhOJRDAyMkKitBRFQSaTwWQyEUNNPp8PlUoFg8EAhUIx48VoOY9jIpHABx98AIPBgKqqKvL3n/3sZ/iv//ovAFNteH/0ox8t6X1ONeFwGD09PaitrV2VESebzYbJyUmyMFrpTIxjx47h2WefxT/+8Q9SmpeTk4O//vWvZLGfSqXQ09ODcDhMhCiKotDX10fMmBsbGzMuMjRNY2hoCAMDAzCZTKiqqlrVC5qVZLnHV4vFgp6eHlRWVs57YY9EIjh06BDeeecdvPPOOxgYGJj1udXV1di7dy8+/vGPY/PmzatWOBwcHERvby/OOecckhmQSCTw/vvvY3R0FCKRCLt27co66p8Nq+UaudZhFoaTk5NE0JmYmCBjA4fDISIOn89HLBZDOByGzWbD+Pg4RkdHiXdeIBBAKBTK6JS3HMdGJBKhoKAAhYWFMJvNMJvNJDM1HA4jFAqRsj6BQACZTEY8+xgvq+nNMKRSKRQKBVKpFMbGxogJ9tjYGB599FF88MEHRHAEgPLycnz+859HYWFhhjfN9O6VTBYZk7HG/H962eJiDJbdbjfa2tpAURRqa2uh0WiW/H2uNMt9bobDYbS3t4PL5aKxsRHBYBCNjY2kAcpLL71EMpNm4kRRisfjwWq1QqPRYNeuXTNmMzmdTjidzoy51nwEAgEMDw9DLBbDbDYjGAzi2LFj4PP5OOussyCVShGNRnHs2DGMj48jJycHmzdvnjdznyEYDGJkZARcLhdmszmrEs/29nbccsstaGlpIX/T6XS46667cNFFF836e5zvGB44cADf+c53Mkr9LrvsMvz0pz/Net6dbZZUPB4n5b3M+Q5MZSlKpVLSbCEajcJqtcLlcpFMJw6HA7lcDq1WC71eD51Ol9U8M51Ok1JBl8tFsrH4fD6kUikJCDAZm9PFqaU2q1ksyWSSNIqY3jQiEokgHo+joKAAjY2NS55np9NpjI+Pw+PxoKSkZFWWCq9nWDGKZU7Woxh19dVX48033wQAvPHGG3NGkhgYv4lgMIhgMIhAIICxsTFEo1GUlZUhPz+fpLq+/fbbKC4uXnA2TyQSIaV5gUAAVqsVcrkciUQCAoGApHMvlWAwiNHRUVJmEI1GoVQqodVq4ff7weVySZTYYDBArVafVG6xnMext7cXExMT2LVrF7mgWCwW7NixA8lkEiqVCkeOHFlz/j8DAwMQCoXLulhdDhgj+/LycmLouRLn5MDAAJ5//nm8/PLLGBsby3hMKBTiueeew5YtWwBMTQT6+/vh9XqJEMUYvVqtVuIPNX1CmE6n0dfXh9HRURQVFaGsrGzVR/JWkuU+L9PpNJqbmxGJRLBly5YFRQtHR0eJMPX+++9nRK6nI5VKsXXrVuzduxef+MQnVlUmIU3TOHjwICKRCDQaDXQ6HXJzc8Hn89HV1YVjx46BpmlUVFTgrLPOWhZRbbVcI9cyzPWN8cViOoIeOXIETqeTlNi53W64XC7SrGG5EQgEUCgUoOmplvbZwuVyYTAYkJeXB71eD41Gg5ycHCiVSlKuON08nfGtSiQS5HMwi8o33ngDr7/+eoYvVG5uLq6//npceOGFJCONKf1b6fGT8YdivDDr6urWzHV9Jc7N7u5u+P1+0qH2mmuuwWuvvQZgqpwyJycHGzZsmDPAkkgkMDAwgJGREaTTaQSDQQDAli1bTpqDJhIJtLW1LdhCIJlMYnR0FKOjo/D7/SgoKEB9fT24XC76+/vR1tYGDoeDhoYGFBUVZRUQisfjsNlscDqdWWdDhcNh/PKXv8QjjzyCVCpF/v7FL34RP/zhD+cVwLI5hh6PB7fccgteffVV8rf8/Hw8+OCD2LZt27yfCzg5S8pgMJAyO0Z4SiQSEIvFRHhiynDn+g4SiQQCgQBsNhscDge8Xi9plCCVSqFWq2EwGKDX67Nq4sD8XhgfK0acEggEkEgkEIvF4PF4SCQSJHjN3JbamfTE/QgEAvD5fPD5fERwYjwDmYYRjDAvFoshl8shFosxPDwMYMruYTlEbafTibGxsZOyAVlWFlaMYpmT9SZGJRIJ1NbWIhQKQa1Wo7W1dcYBlelExIhPTNtxxtfBbrfD6XSirq7upB/9P//5z5M6fM1HJBIhEzS/3w+v10vqwEUiEaqqqhbkxTAfNE3D5/NhfHwc4XAY8XgcPp8PcrkcUqkUHA4HSqUS4XAYAMikmClrWO4I4aFDh1BeXp6xGP3yl7+MN954AwDwwAMP4POf//yS3+tUwphw19fXr4rsD5qmMTk5CYfDgfLyckgkkmU/lg6HAy+88AJeeumlk8pBgKkF2nnnnYfrr78emzZtIvs1PDwMu90OgUCAqqoqJBIJtLe3w+l0QqvVYvPmzRmTZ8aXwmq1orKyMqON9JnKSoyvPp8Px44dg8lkQkVFxaK2EY/HcfToUbzzzjt4++230dHRMetzzWYzdu7cifPOOw979uw57Z0Q4/E4JiYmiMdPLBaDXC5HTk4OBAIB2tvbEQwGkZOTg927d5Ny08WyGq6Ra5VkMomJiQm43W5otVqEw2FMTEzg6NGj+N///d8Mj6TFIJFIoNFoiDik1Woz7jMZzIFAAEqlElVVVSgqKkJBQQF6enrQ29uL/v5+9PX1oa+vD/39/RgZGcn6OFMUBZPJBJPJBK1WSwzoTSYTcnNzyX4AwCuvvIKnn3464zOLxWJcf/31uPbaa0+LAJRKpdDd3Y2JiQkUFhaSphRrhZU4N10uF/r6+qBUKlFdXY2XX36ZZOp/4QtfwJe//GUYjcYZG9WcCCNKDQ0NIRAIIB6Pw2w2Y9u2bRnXTibzfiHz01Qqhfb2dgwPD0Mul6O0tBQymQxH3cAKqwAAXeZJREFUjx6F1+uF2WzGxo0bsxK4YrEYEaGUSiXy8vKy+j2+/fbbuPXWWzMCW+Xl5bjvvvuwdevWrD5HtseQpmm88MILuP3224m4R1EUrrvuOtx0003g8XjEn5Px6jzxfiqVQjQahc1mQywWg0wmQ05ODpljSySSJf/+0+k0IpEI7HY7bDYb3G43aaRwomg9veMy0wBBLBaTcj2JRAIej4dIJAKHwwG3201KBYVCYYZnHeNRd6Ip+lziFCM4eTweknHK2Jow22OyM5n9kcvlUCgUxNSd2f/pnoQikQh//vOfEQ6HUV9fj9LS0iWLZMFgEIODg1AoFCgsLDxjs+1PJawYxTIn602MampqwiWXXAIAuPDCC/HII48A+Fe3C0Z4CoVCM0YCKIoiF/zKysqTIvmpVAr/+Mc/sHfv3qwXUuFwGH19fZDL5fD7/YhEIkgkEqSlfVVV1bJ7kzAwUVuLxUK8JtxuN7lgMR3VnE4nEokEcnNzkZubi4KCgmU9ji0tLQgGg9i5cycZ+N977z1cccUVAKZMg6dHqtYKfX19kEgks7ZTPlXQNE0WauXl5WTytxznZDAYxKuvvoo//elPxPh5OhRFYfv27bj00ktxwQUXnBS9HBsbw8TEBPh8PqqrqxEKhdDW1ka8RGpqajImA0x01+12o7a2NmuT0fXOSo2vTObipk2blqUFss1mw7vvvktuTNnmiQgEAmzYsAG7du3Ceeedh9ra2tPqY8H4KzGBCK/Xi2QySSLdTNnKdD+zhbIarpFrDZqm4Xa7MT4+Tkx5h4eH0d3djeeffx5tbW0zvo7pNKvVaqHT6aDT6WYVmzQazawL5mQyieHhYQwNDYGiKGIWzmQtzXU8I5EIBgcHTxKpBgcHZ/VgmwmlUkmuzW63G11dXRmPX3rppbj11ltPyQR9JiKRCFpbWxEIBFBTUwOj0bjmggcrcW6m02kcP34c0WgUjY2NoGkaDQ0NiEQiUKlU+Mc//oFgMIjCwsKs55OJRAL9/f3o6emBz+eDWCzGOeecA71eD2DKK9Lr9WYdXIhEIjhy5AhisRg2bdoEgUCAgwcPwmazQa1WY8eOHVllpEQiEVitVng8HqjVauj1+qzmtQ6HA3fccQdefvll8jehUIgbb7wR3/zmNxeUsRuJRCAWi2G324lwdKKgNP1vFosFv/jFLzICKCUlJbj55ptJBhjT8GD6bfrfKIoiJXmxWIyU0yqVyhUpfWMa04TDYdIgYroP3PRuzIwPHDNnm95xmRGymMxLpmECMOX3J5fLibDGbIfJxmIaQgSDQbIfTIYTj8cjQphUKoVcLodSqYRKpSJZmtl+J8w5OTY2hkOHDsFms6GgoAANDQ0L7hI+0/fINNkpKSlZlXYb6wlWjGKZk/UmRt1///144IEHAAB33nknPvnJT5LUWR6PB7lcTrwkZrpQjIyMoKenB2VlZSguLj7p8UAggHfffRfnn39+VlGPcDiM3t5eSKVSBAIBYjjIpM9XVVWdkihmOp2GzWaDzWYj0RGXy4VkMgmpVIqKigpIpVLYbDZEIhGSor1cuN1uHDlyBBs3biSt09PpNPbu3Uv8Z1599VU0NjYu23ueCoLBIPr7+1FXV3fasqMYg2+v14vy8vKMi/Riz8l4PI63334bzz//PP7v//5vxoVTTU0NLr30Unz2s5+d9cJgs9kwMDAAPp+PqqoqeDwedHR0IJlMorGx8SQT0lgshuPHjyMQCKCxsXFNeI2cKlZqfI3FYmhqaoJUKkVjY+OyRglTqRRaW1tJ1lRzc/NJYiaDXq9HTU0NzGYzioqKUFpaSrwdGC8bPp9/yqKY6XQaHo8HNpsNg4ODsNvtoGkaSqUStbW1MJlMxK8oW1bDNXItEY1GMTo6img0Cr1eD7vdjv7+frzyyit44403Mr7Duro6fP3rX0d1dfWCFvezkUwmMTIykrFgKSoqyrguLvZ4Mts+UaTq6+ubteR1JjZu3Ig777wTZ511VvYfbJnxer1obm4m3kiL9bw83azUuTk+Po6xsTHk5+ejoKAA119/Pf7yl78AAJ544gnU1NTA4XBAIpFAr9dDqVRmNaYkEgl0dXWhra0N8XgcRUVFOPvss5FOp9He3p6VubjdbkdLSwvkcjk2btwIp9OJo0ePEq8egUAAo9EIg8Ew6z6FQiFYrVb4fD5oNBpSQjYf6XQazz77LPbv35/RsXXnzp245557UFpaOu82mO0wjQKi0ShMJhMCgQARXmYSkKbfp2kajz/+OH71q18hkUgAmBKyb7vtNnzlK19Z0PjOVCD4/X5iicE0IlAoFKdljsiIb7FYDKFQCJFIJEPEmt7IYHoHTabzHwNT5svcuFwuxGIxFAoF1Go1cnNzkZOTA5FItCwCXCqVQjgcRlFREdxuN1KpFDo6OjAwMACZTIaGhoYFZf/NRDqdJqWpJSUlpz1Tez3DilEsc7IexCjG7ykUCuGLX/wiiZQ+88wzKCoqIsag8ynfExMT6OjoQFFREcrLy2ccUK1WK44fP45PfvKT8+5XKBRCX18fRCIR6ezjdDohkUggkUhQWVm5ZHV/oSSTSVLKxeyX0+lEJBJBTk4OqqqqIBKJiJFgQUHBsgzQNE3jww8/hEAgyJg4P/LII7jzzjsBTEV3f/3rX6+5lNne3l7I5fLTksFD0zRGR0cRCARQXl5+UhRxIedkOp3G4cOH8ac//Qmvvvoq/H7/Sc8pKCjAxRdfjEsuuQSVlZVzbs/lcqG3txdcLhcVFRWw2Wzo7e0Fn8/Htm3bTip5CofDaG5uRiKRwMaNG5clS2c9sZLjq8ViQXd3N6qrq1f0d+z1evHee+8Rv6npRrIzQVEUDAYDTCYT8vLyYDKZYDabUVxcDKPRCKFQmGHCzJgvr0RWhs1mw4EDBxAIBDICGyqVimTeMNm1c30eVoyan+mdvpjy8Z6eHrz++uv4y1/+QkprgClj429961u46qqrwOfzl/zeJ4pQjD/kTAvJ5T6eNE3DYrHMKFJN96UyGAy47bbbcPHFF5+26yXjD9XV1QWtVov6+vo1nV2wkmL/sWPHIBQK0djYiDfffBNf+cpXAEzNeX7zm98gmUzC6XTCbreDy+VCr9cjJycna2+mgwcPYmhoCHw+H1u2bEE6nSalnTNB0zT5XTHm+ocPH4bdbkdeXh42b94MsViMUChEtltUVETmFzRNIxgMwmq1IhgMEqPtbI9/X18fbrnlFtJ1F5jqbvfjH/8Yn//857Mav2OxGDFs5/F40Ol00Gq1yM/PX9QxbG9vxw033IC+vj7yt7PPPhv79++HRqNBKpWa9cYYjjM+RxRFEb8mRpiKRqMrnjW13MTjcbhcLkxOTsLtdpOg/vRs0mg0ikAgAADkO5DL5QsWpRKJRIZtSjgcJt5WjJk7RVEYGhpCT08PaJpGSUnJksuBp/t/FRQUrIluwEuBpmnScfFUwopRLHOy1sUopk1qMplEOp3GpZdeilQqBbPZjIMHDy5oO8ePH4fJZEJ1dfWsg+jg4CBGR0exd+/eObfH+AnxeDykUinw+XxMTEyQtNfKysrT2l40FovBYrHA4/FAIpEgHA7DbrcjHo9Dp9Nhx44dmJychNVqJb4VS43qWCwWdHR0YOfOncQfKxgMYtOmTSQarNFosHPnTuzatQu7du2aMTttteH3+zE4OLjs2WTzQdM0RkZGEAwGUVFRMeNEMJtzsqurCy+++CL+8pe/YHJy8qTH1Wo1LrroIlx66aXYvHlzVsfD7/ejo6MDFEWhtLSUmKNqNBps3br1JBE2EAjg2LFj4HA42LhxIxuhmoGVHF/T6TSOHTuGaDSKrVu3npJFJU3T6OnpIVlTTU1NCypdkkqlKCwsRH5+PvLy8mA0GmE0GpGfn5+RTXXibSnZVbFYDB9++CHGxsZAURRpbOH1ehGNRiEWi+eMErNi1Pz4fD6MjY2RBebIyAjeffddPPfccxl+MkKhEJ///Oexb9++rDt7zUUqlSLleMxChynHm41TeTzdbjf6+voQiUSwdevWFSvtz4Z0Oo3Ozk6Mj4+jtLR0WXxcTjcreSz7+vrgcDhQVVUFmUyGjRs3wuv1QiKRoLW1lWTHp9NpuN1u2Gw2pFIp5ObmQqvVZjX38ng8ePPNNxEMBiGTyWA2m7Fly5aTrteJRAItLS1wu92oq6uDx+NBd3c3hEIhNm/efFIwIpVKkS5kBQUFpKtfJBLJaPqQDdFoFA899BAeeughkoUEAP/+7/+OO+64Y95M6Oml1H6/H0qlEjqdLiNDNTc3FxMTE6S0bHqpGvP/2W7hcBhPPPEE/va3v5H3lMvl+M53voNzzz2XmGyfeEulUggEAggEAuByucQLSaFQkO9mNWZNLZRUKgWn04mJiQk4nU6kUilSkqlSqYinXjAYJN8Dc5u+3qFpGvF4PKNhVCwWI2XYzE0oFEIkEuHIkSOgKAqFhYWQSqWwWCxkLFSpVKivr1/ynJGZx4vF4jU/lp1IKpVCJBIhNw6Hgz179pzS9QorRrHMyVoXo8LhMDEef+ONN3DNNdcAmOq+cd9992W1DY/HgyNHjkCv16Ourm7OgaizsxM+nw87duyY9TnBYBB9fX2gKIoYCw4NDUGlUkEmk80qHJwOGBPYYDAIsVgMn88Hj8cDHo8HpVKJ4uJieL1ehEIhmEwmaDSaRYtDqVQK7733HvR6Paqrq8nf9+3bh9///vczvsZoNBJhateuXafdm2kmmEW1SqWCwWA4Je+ZTqcxPDyMSCSC8vLyWX9Ps52TExMT+POf/4wXX3wRvb29J71OJBLhU5/6FC655BKcc845C4qihEIhtLe3I5lMori4GAMDA3A4HCguLp6xc5Db7UZLSwskEgkaGxtPebbgWmGlx1efz4ejR4+ioKAA5eXly779+YhGoxgaGkJ/fz8GBgYwMDBA/HamZ8LMB/M9mc1mFBQUELGKKYEBkNHWXiKRQK1WZx0coGka3d3daG1tJT5727dvB4fDyfCbSqVSkEgkyMnJgU6nI54ZeXl5rBg1A/F4HGNjYwgEAjAajaTxxbPPPoujR49mPHf37t34yU9+knEdWSwnilBzZUKdyJkoLjKZPsFgEBs2bFhyqcxqYSWPpdfrRXt7O3Jzc1FRUYHvf//7eOaZZwAADz/8MD7zmc9kPJ9pQGOz2RAOh7POPEqlUmhubkZnZydSqRTy8/NRXV0Nk8kEiqIQCARw5MgRAFNlp+3t7QiFQqioqEBDQ8Osc18mA5sJsFZUVMBgMCxoMXvo0CHccsstxJYBAIqKinD33Xdjz549c742mUzC5XLB4XAglUoRHziBQECaETHG2QKBgIhCi729//77uPnmmzMaBHz+85/HXXfdBblcPut+MtlQgUCA+DpJJBIoFAqSScvhcBacNeVyudDR0YGuri50dnbCYrGguroau3btwvbt209LFnk6nYbL5SLCVDweJ3NgvV5PDM0ZcYop7WM8qmiahkQiyRCfThxzmXNyYmICNpsNk5OTUKvVMJlMcLvdGBoaQiQSQSqVQnV1NfLy8pYUvGb8uNY6NE0jGo0Sf+RoNEpM6hkfrxO7qK80rBjFMidrXYyazm233YYnn3wSAPDYY4/h/PPPn/c1fr8fTU1NpMXufBfXo0ePkuyNmQgGg+jt7UUqlYJcLgefz0dvby/UajXkcvmcwsHpxO/3Y2JiArFYjJTvWSwW0DQNk8kEo9EIh8MBgUCAgoKCRUdlBwYGMDw8jD179hCBw+/349e//jV6e3tx+PBhkvI7E0VFRUSY2rlzJ/GfOt34fD4MDw+jvr5+xaMq6XQaQ0NDiMViKC8vn1Momn5Out1uvPrqq3jxxRfR1NR00nO5XC727NmDSy65BJ/61KcW1N0xnU6Tlup2ux2JRAJ5eXno6+tDOBxGQ0PDjB4Qdrsdra2tUKlU2LBhwylPHV5LnIrxtaenBxaLBZs3b55z0n0qYdLoBwYGiFA1ODiIgYEBjI6OLui7kEgkxPuHyaoqLCyEUqkkopRarc5qjLbb7fjwww/h9/shEolw1llnobi4GMDU+eDz+WC32+FyuYiYJpVKUVpaCpFIBIVCse4isIuBOb6Tk5NQKpWQy+VobW3F//7v/+KNN97IyKAoLi7Gvn37cMEFFyz5u0ulUqQcL51Ok9/FQjIUTvec51Tj8Xhw7NgxCAQCbNq0aVk7AJ9uVvJY0jSNlpYWhMNhbNmyBR999BFp3nL++efjsccem/W1wWAQNpsNPp8va2Nwh8OBN998kwRq1Wo1jEYjhoaGoFarEY/HYbFYoNVqsW3btlmzSphMLavVCpqmodFoSCe/oqKirK4RHo8H+/fvx7PPPkv+xuPxcO211+Lb3/72nJ6p4XCYdH4Ti8XIzc2FSqUCRVFEgPJ4PEilUlAqlcjJyUFZWRkcDse8+zUfbrcbt9xyC/7+97+TvxUUFODBBx/MurtfIpEgwpTf7yfrAiZzismcZbKm3G43uru7MTIygomJCQwNDaGvrw92u33W9+BwOKirqyPz4q1bt57y85Lx7bJYLLDb7YhGo6S8TiwWE4N1RvxIp9NEeGNEumzKoKcHLBiBdWRkBADgdDphNBpRXV19Rs4jE4kE+Z35/X7QNJ3xHZ/udScrRrHMyXoSo/bs2YOBgQFwOBx0dnbOe6EMh8P48MMPIZPJsGnTpqwmoR988AE0Gg2qqqpOeiwQCKCnpwepVIr4XHR1dUGj0UChUMwrHJxuaJqGx+PB5OQkJBIJotEonE4n3G43OBwOiouLIZVK4fF4kJubC6PRuOA0z2g0ivfeew9VVVUZ5tUWiwUOh4NMkjo6OtDS0oKjR48iGo3Our2qqipS1rd9+/ZlKddYDEy2hEajWdFIcTqdxuDgIBKJBMrLy+f8zTKm9QMDA3jsscfw9ttvI5lMnvS8TZs24dJLL8VFF120oHp5xjfC7XbD5XIhFosRQ1CZTIbBwUHSaW8m0XBiYgKdnZ3Izc1FbW3tmkhTP52civE1Fovho48+glwuR2Nj46ovkY1GoxgeHiaZVEynsoGBgQVFOOvr63H++edjx44d4PF4ZAGnVqvnHLMZ83embK+oqAibN28+6TXMYsNutyMcDsPtdkMgEECn08FoNEKtVp+RwlQwGMTo6CjS6TRMJhMmJyfx7LPP4sUXX4TX6yXPUyqVuOaaa3DjjTcuubw9lUphdHQUAwMDRIQqLi5eVMnC6Z7znEpGR0fR0dEBo9F4Wht2rBQrfSytViv6+vpQWloKvV6PzZs3w263QygUoqWlZV7j92g0CpvNBpfLBblcDr1eP2cDhbGxMbS3t8Pr9ZLFqFQqhdVqJQHVoqKiGV+bTqfhdDphs9mIbx/jYUXTNBz/f3t3Ht5WdeYP/KvNsmR533dnX5w4O3FCIIGWsiRDCUugYStdGCDQMm2H7QdNWugUKNPOdCiQlKUlDS0NLR0gQIFpVrKTmNhxFid2nHiVbXmTrF3394efcyrZ8hbbsi1/P8+jx7YW69qvdHTve9/znoYGVFdXy/3AYGOXoih49913sWHDhoB+Z/Pnz8fzzz/fY1Wjz+dDS0sLGhoa0NHRIStLDQZD0ARUfHy8TOwPRw+3rVu34qmnnpInFNRqNdatW4cf/OAHAzrAF9UqIllQV1eHyspK1NTUoLKyEmfPnkVZWVmv+7v9odVqMXfuXLlfvGDBgmFfJMl/tfL29nZYLBa0t7fD4XDA6/UiJiYGmZmZyMzMhMlkCpjWKO4nKnb8K8h6iqeYyq3RaBAXF4fa2lqYTCZUVVVBq9WioKBgxI4FQkVRFNhsNjn1s6OjQ1bXxcTEICoqalTtvzEZRb0Kl2RUdXW1PFtRUFCAjz76qNf7OxwOHDhwQDZ87G+SaPv27bKM319bWxtOnDghd6q9Xi9KS0uRmJiIuLg4TJ48eUztvOl0OhQXF8Nut0On06GpqQkWiwVarVbuuLvdbmRnZ8szVf117NgxtLa2YtmyZQGPE43o/ZsYWq1WVFZWorS0FEePHpVTY4JRqVSYPXv2iJ0ham5uxoULF/qc6nmxfD4fzp49C6/XK19P4mDu/PnzqKyslF8rKytx4cKFHv9XkyZNwurVq7F69eoed0iDESXxIgHV0dEh/9aYmBgYjUa0tbXhzJkziImJwdKlS7udxVUUBefOnUNZWRmysrIwffr0cXkgPlChGl9rampQWlqK2bNny+XCxxpFUdDY2Bgw5U8kqkTyIxitVosVK1bgmmuuwaxZs+B2u2EymWRiKtgYrigKTpw4gePHj8PtdiM2NhaLFy8OmtgVB3anT59GfX29bACs1WqRlJSE9PR0JCUlhbSXw0jweDyorq6GxWJBamoqNBoNPvjgA/zud7+TjcOBzmrN6667Dhs2bBj0FGgxtVlUQk2YMAETJ04c1P863JNRouL13LlzqK2txfTp05GXlzeqDnKGynDH0u1249ChQzAYDJg7dy7Wr1+P1157DQCwdu1aPP7440hISOjX72loaJCJrNTU1KBTbsQCOvHx8XJqnsfjQV5eHubPnx90n9fr9aKhoQH19fXQ6XRIS0vrcTqP3W5HRUUFVCoVJkyYIKfXu1wuvPvuu9i4cSNOnTol7x8dHY3HHnsMd911V9DPe5fLJRuSq9VqJCcnIyEhAS6Xq9cElL/hiuH58+fxve99D4cOHZLXzZ49Gy+++CImT57c62PFNODS0tKAS3+PvWJjYzFlyhTk5eUhKysLkyZNQl5eHk6ePIkvvvgCX3zxRUDT9a5EFaNITs2fP3/QVTIej0cmnsRq5TqdLmDKnXg9tLW1oaamRk45jYqKQkpKCjIyMhATE9OtMkz0X9RoNNBqtUhPT4dOp5O/T6zmJz7jm5qaEBkZCYfDgfj4eDQ2NqK1tRUTJkxATk6OHN/F4/y/7/qz+H60EtMIW1tb5YqR/n3HRnOxA5NR1KtwSUb96U9/wg9/+EMAwLp16/DEE0/0eF+Xy4WDBw/C5/Nh8eLFAzrT+vHHH2P+/PkB1S+iWbNoemq328d0IkrEsaamBu3t7bJEXKvVoqmpCc3NzYiMjERWVhZ8Ph+io6ORnZ3d7/9jW1sb9u7di0suuaTPnS/R5NBms6G9vR0tLS0oKytDaWkpioqKUFpa2uuB5bx582Ryav78+cPaj0gclIqVtYaC1+tFXV0dKioqcPjwYdTU1AQkoPzPOPYlNTUVX//613HjjTdi1qxZA/rQtdvtsFgsaGxshNVqlWdIY2NjERkZCZfLhbq6OrS3t8PtdiMzMxMLFy7s9rr3+XwoKytDZWUlJk6ciEmTJo3qD//RJFTjq38z88WLF4/qHZyL4XQ6UVlZiTNnzuD06dP4+9//jmPHjnW7X1xcHFatWoWvfvWryMrKgt1uR3R0NBISEhAbG9vttW02m3HgwAGZXJo5cyZmzJgRcMDUNYaKosBut8uFOFpaWqBWq5GYmIj09HSkpKSMqc+OviiKAovFgqqqKrmU/eHDh/Hyyy93W3Bkzpw52LBhQ7+nxPTE5/PJyoOhSkIJ4ZaMEtWuogKnpaUFHo8H0dHRyM/P77PB9FgWiliWl5ejqqoKc+fOxZkzZ/Av//Iv8jaj0YhvfvObuO+++/r1f/Z6vWhqapJ9jVJTU5GYmChf14qioKSkBDk5OdDr9Th+/DgmTJgQdJ/L4/Ggvr5errKcnp4uEwW98fl8sqo9NjYWH330EV5//fVuq6Red911ePrpp7sllEVD8oaGBrS2tiImJkY2bG9paelXAsrfcMbQ6/XipZdewgsvvCArzCMjI/HUU0/h7rvvlj25RF8ncTl58iTsdnufv1806J44cSKys7ORl5eH2bNnY9KkSYiNjYVer5fVMFarVTZdF1Mpjxw5giNHjqCoqAjnz5/v8Xn0ej3y8/MxZ84czJs3T/awVavVPV5Er6eOjg5YrVY4HA5ERkbKxFN/poGJWF+4cAG1tbXyczIqKgpGo1Emn/R6vVz4ye12Q1EU1NfXQ6/Xy1X6RGwVRYHb7UZzc7PsHxwXFydXpxSfMRqNpt+vB7VaDZ1OB51OJ3v+Brtotdph33cN1lvMaDQiNjZWnvwdK/vPTEZRr8IlGbVu3Tr87W9/AwD85S9/QWFhYdD7eb1eHDp0CHa7HYWFhQMqX/V4PPj4449xxRVXyIqb1tZWFBcXQ6VSYcaMGWhtbUVpaSkSEhKQmJiISZMmjbmz3MHiaLfb5Q6qSqWSSamoqCikp6fLM/6pqal9VrkoiiKr0hYsWDCgbfN4PPLD2Gq1wmw2yw//oqKiXs8QRUZGYuHChfIMUX5+PvR6/ZBW5VgsFlRXVyM/P7/fv7etrS2gssm/0qmqqqrH6qbeGAwG2cB51qxZKCwsxJIlSwb0WnQ6nWhubpY7iuJDLzY2FjqdDna7HQ0NDbBarfD5fDCZTEhLS0NWVlbQnWmfz4fjx4+jtrYWM2bMQFZW1pj5IB0NQjm+tra24vDhw8jLywva6yvcnDp1Cu+88w7++te/djuQAjqb/a5evRpXXHGF7KkXExMjE1PifWW323Ho0CEZo9TU1IAKzb5i6HK50NDQgNraWjQ1NUFRFMTHxyMtLQ3p6ekj3vdhMBwOB86fPw+Hw4GsrCw0NzfjxRdfxHvvvRcwNSUtLQ0PP/wwbr/99kGNzSIJVV5eDq/XO6RJKGGsJ6NEMlR8tjc3N8PlcgU03k9KShrTr7v+CkUsrVYrvvjiC2RmZmLy5Mn49a9/jV/96lcBq4gaDAbcdddduP/++/t1Uku0V6ivr4fT6QxY4e7ChQvw+XzIzc0N+liXy4X6+no0NjbKz2+TyTSgz+Xq6mq89NJLePvtt7slXRYuXIjvfe97+MpXvhJwvdfrhcVigdlshsfjQUJCAkwmE2w224ATUP5CEcNjx47hoYcewpkzZ+R1+fn5aG9v7zUJ5C86OhozZszAzJkz5WX69OnyeES8L0W/qfb2duh0OtkIPSYmRiaIgqmrq8PevXuxd+9efP75571uV3R0NBYsWIBFixZhwYIFmDhxIoDO8bPrJTIystceT4LX64XT6YTD4Qi4OJ1O+Hw+mfwS08xEcislJQVZWVly2rqI5/nz52U1oE6nk6vViteFoihoaWlBeXk5mpubkZeXh8TERBQXF8PtdmP27NlISUkJSGKJi//PYtvdbjc8Hg/cbnfQi9frBQCZlIqIiAiauBLXDXS/27/6aShWXXS5XLDZbPLicrkGdIwyFJiMol6FQzLK5/Nh7ty5aGpqgtFoRGlpadCz+eKMf0tLC5YsWTLgKVxtbW3YtWuXbJ7a0tKCL7/8EhEREcjPz0djYyNOnjyJ2NhYpKSkjNnljnuLo8vlgtlsRkNDg1zhpLW1FSaTCYmJiTCZTMjJyemz/0F9fT2OHj2Kyy+/fFBLVPt8PnR0dMhy4erqahw7dgwnTpxAUVGRbG7YG41GE7Dsu1hpy/978XOw+3T92tLSgvj4eMTFxXX7HeKAzH9KnX9vlIFIS0tDbm4ucnNzkZOTE/A1KSlJlh4P5D0pzjI1NDSgublZXi8qQdrb29HU1CR3OuPi4pCRkSGXuO+Jx+NBcXExGhsbMXv27JCtOhhOQj2+njx5EjU1NVi8eHFYNSrujdfrxeeff46tW7fiww8/DNq/Y+nSpfj617+OwsJCuFwuOJ1OeeAUGxsLlUolz4i73W7Z3Dw7O3tAMfT5fGhoaEBNTQ0aGxvhdrvlakWZmZmD7p0UKj6fD7W1tTCbzUhKSkJMTAzefPNNvP766wGNeQ0GA2677TY8+uijg2qe7/P5cP78eZw5c0ZWQk2YMGFYKszGYjLK4XDIVR+bm5vhcDhgMBgQHx8vVykbjyuahiKWiqLg2LFjaG9vR2FhIbRarUzmvPXWWwFJqcjISNx55524//77+zVdWlSe1NfXo729HYmJiYiKikJ1dTUKCgoCEhf+/adiY2ORlpY24DH++PHjeOWVV/Dee+8F9KJUqVS48sor8dBDD2HRokUBjxEnsCwWi6x0EYs9XGwCyl+o3o92ux3PPPOMXDCpN7m5uQFJp5kzZ8rPgv7qWiFjt9uhUqlk1VJfl7q6Ohw+fBgHDx7EgQMHAlYJ7Co+Ph5Lly7F0qVLsWzZsh6r10VVUrCEk8vlgkajQWRkJCIjI6HX6wO+7xpbu92O2tpa1NXVobW1FTqdDklJScjKysLkyZPR1NQkq/EtFgvq6+vh8XiQkpKC5ORkObaLfoCnTp1CUlIS8vPzcfr0adTW1iI3NxdTp04dkpMRPp8PHo8HLpcraNLK/zpFUWTVV08VVgBkbJ1OJ0wmk0w+dV1ZsS9erxcdHR0y8dTe3i7baYj/oUajwfz585mM6gOTUSEUDsmokpISXH311QA6m5j/8Y9/7HYfsRNgNpuxePHiPpMlwdTW1qK4uBhf+9rX0NzcjKNHjyIqKgqzZ89GbW0tTp06hdjYWKSmpmLixIljMhEF9C+OXq8XjY2NqKurg91ul9O3RH+V9PR0ZGVl9XhG1efzYdeuXUhNTR2S5bkFcUZJVE6dO3dOLnVcVFQUtOphtDIYDEhNTUVmZiZmzpwpVwATq4D154ChP7H0eDyyYWhTUxN8Ph9UKhWio6OhVqvlKnliByMpKUmusNifbXC5XDh69CisVivmzZvXr74Y1F2ox1en04n9+/cjNjYW06dPH3cHqFarFdu2bcPWrVuxb9++brcbDAZce+21uP766zFt2jS0tbXJhFF8fDw6Ojpw5MgRdHR0yObm8+fPR3Z29oBjKHbCxZSYjo4O+VmTmZk5apOFotGsVqtFVlYW9u/fj+effx7Hjx+X91GpVLj88svxk5/8BFOmTLno5xJJKNFXLy8vDxMnThzWaY5jIRklqu3ECYaOjg7o9fqA5NNAD3jCUahi2dDQgJKSEsycOTMgyVRbW4uXX34ZW7ZsCUiCR0ZG4vbbb8f999+P9PT0fj1HR0cH6uvr0dzcjJaWFuTn5yM1NRV2ux11dXVobm6WFZcDmR2gKAp2796Nl19+Gbt27Qq4Ta/X45ZbbsGaNWug0WiQkJAgq5/F/oXVaoXRaIRWq4Xdbh+SBJQ/t9uN5OTkiz7BN1Dbt2/Hj370I9TV1cFgMGD69Oky4ZSfn4/p06cPy6q0Ho9HTtMLdhHJEp/P1+02j8eDCxcu4NixYyguLkZxcTFaW1t7fK6kpCQsWrQIl1xyCebPn4/ExESZePL5fDLR5J9wioyMvOhpbCJRWlNTg9bWVkRERMDlcsnEm6g0Ej1mPR6PnN5pMpnkSd/S0lIAnb293G43Tp48iaioKMyZMydkn5eKoshKq74SVtHR0XLlu/4mzERTfDF9UiQsfT6fTDwBnav4mkwmGI1GOS0y1NP/mYyiXoVDMuqVV17B008/DQD4f//v/+GBBx4IuF1RFJSWlqKqqgqXXHIJ4uPjB/wcYrW0+vp6zJo1C0ePHkVCQgLy8/Nx/vx5lJeXIyoqCpmZmcjLyxuziShgYHEUS7rW19fDYrHAYrHAZrMhKioKiYmJmDJlCpKTk4N+KJWXl6O8vBwrVqwYtoFRLAcrmi2eOXMGhw4dQmlpKSwWS8CHQtczHF0/LIaaSqVCSkoKsrOzkZOTI8/g5+bmIiMjQ855H8zrqadYihVrGhsbYTab4fV6oVKp5Aoczc3NaG9vh8fjgV6vR1paGjIyMpCamjqgWNntdhw5cgQulwsLFiy4qCQwdRqJ8bW6uhpnz55FREQEYmNjkZSU1GMj73BWVVWFd955B++88w4qKiq63Z6WloYbb7wRq1atQmJiopxqYjQacf78eTQ3N8seaytXroTX6x1UDNva2lBdXQ2z2Yz29naYTCakpKQgMzOzX71ehlvXJbhtNhuefvppfPLJJwE9/iZPnozHH38cV1999YC2WSTQxUpC4uyvaKY83EkoYTQmo0S/FFGBYrVaodPpEBcXh6SkJKSkpIy6lZZGg1DF0uv1Yv/+/fLAuGsc6uvr8fLLL2Pz5s0BSSm9Xo9vfOMbWLduXb8PxFwuF4qLi9He3o7k5GQ4nU4kJiYiLS1tQJWVbrcb77//Pl555ZWARDLQWR39zW9+E/fcc49ctMHpdKKiokImRNxuN3Q6nXzvD1UCShyMi7Ggo6MDMTExsFqtMBgMMBqNMBqNMBgMiIyMHLaFZcxmM1JSUsbMfr+iKDJRJRI1+/btw/79+3H48GG0t7f3+NjMzEwsWbIEl112GZYvXz5k/VGDEYmmqqoqWXHldrvhcrnk9yIRY7fb5SwHkaxqa2uDx+ORrwOr1QqPxyP7q+n1+oCZD6KCyf8ymmIqGseL2SCtra1wOp0BTd2NRqNcTU/83aOh7yeTUdSrcEhGrV27Fjt37gTQeaZi6tSpAbeXlZXhzJkzWLhw4YAHTrvdjnPnzqGmpgYulwspKSlobGxEWloaZs6cifLyclRWVkKv1yMnJycsVpq5mDiKgb++vh61tbWwWCyw2+0wGAzIycnBtGnTuk3jcrvd2L59O6ZPn46cnJzh+FOCcrvdsFqtshdTT/Hyv16cURIfhF2TVf7fi9VfWlpakJCQEHCbWI1w4sSJyMrKCrpD6HK5cPr0aURFRQ369eQfS6/Xi7a2NlnRJkrrDQYDFEWRO3M+n0/2AsvMzAyYmz8Qoj+GWq3G/PnzR231xlgxEuOrz+fDhQsX0NTUBKfTCUVRoFarkZSUJKdcjaadteGmKAqOHDmCrVu34r333gt6RnnOnDm46aabcNVVV8n+evX19fJsvV6vh9FolH2gEhMTB/U/7OjoQHV1tVxoQq/XyyXXB/u7+8vr9cqEv0gMiZ5DL774It544w25NDrQORXkO9/5Du6///5eD4rFNOyWlha0tLTIs78OhwNqtVqe8Y2JiZEVaaFMlI6GZJR//x2LxYK2tjZotVrExsYiMTERqampiI6OHvP7JcMtlLE8d+4cKioqel3x12w245VXXsGbb74Z0IspIiICt912Gx588EFkZmb2+VwtLS2orKyUieqB9P+yWq3YsmULXn311W7HCrm5ubj33nuxZs0aGI1GKIoipy6J6csNDQ1yRWbx/hyKBJTNZpNjgsvlkr2UxKqkFosFHo9HVo10dHRAUZSABJVIUo2nz6/+8Hq9OH78OD7//HPs3bsX+/fvR0dHR4/3nzlzJi677DIsW7ZsyKf0D+Q96XQ6YTabYTabodVqER8fj8jISFRUVKC5uRkajQZGoxE2mw0Wi0UmbUQ/LEVRuo2Ropm5SFhFREQgMjISERERstG6uAx1U3Ofzwe73S575DY3N8NmswVsp2hmbjKZYDAYEBUV1S3x5N+/y263w+FwyBW5OU2vd0xGhdBYT0Y5HA7k5+fD4XAgOTkZR48eDRgMxJKqc+fO7feLV6xgdv78eVgsFtkPSVEUVFVVITc3F1OmTEFZWRlqamqg0WhkRUs47PANNo42mw11dXWorKyExWKBw+FAVFQUpk2bhqlTpwYcLBQXF6OlpQXLli0Li/+d4PP5UFJSguzs7AFV4jmdTpSVlSE6Oho5OTmD+p+IM18xMTFyKWGn0wmg84DY6/Wivb1dXhcbG4vMzExkZGQM+uClpaUFX3zxBYxGI+bPnz9m+tuMZiN54Ovz+dDe3o7m5mY0NjbC4XBAURRERkYiNTUVSUlJ426qj9PpxGeffYatW7di+/btAX1TgM7VPL/yla/gpptuQmFhIS5cuIBTp05BrVbLCgGVSiWXZ09PTx9wxUKwbaqpqZFTcXQ6nVyZz2g0Qq/XQ6fTyeawF0v0MPFPPkVERCA6OlpePvnkEzzzzDMBzXN1Oh1WrVqFH//4xwEr0gKdJwlEhUNra6s8A+z1ehEZGYmoqCg5lSE+Ph5Go3HEDyRHKkHc3NwckHwCIJNPycnJiI+PH1fvxaEQylja7Xbs27dPVkP3prGxERs3bsTvfve7gKSATqfDmjVr8NBDDyE7O7vHx/t8Phw7dgxTp07td3/Ouro6vP7669i8ebN8fQmzZ8/G3Xffjcsvvzwg+eRyueDz+WRDZ3ERDbcHuxiBWE25tbUVPp9PJtZEckpMP01ISEBdXZ38fDIYDDAYDLJaxuVywW63B4wtXZNUY23RoeHkdrvx5ZdfYs+ePdizZw+++OKLgN5m/nQ6HebPn49ly5bhsssuw9y5cwdVlXMx70mxyqTZbIbP50NycrLsKavT6aAoCkwmE8rLy6HRaDBnzhxER0fD7XbD6XTKk9TiZ1GR5V+ZJRqYd9U1eSUqr8TXrokrkbwSr0v/xJNYmVpUPUVGRiIuLg7R0dHydeqfWA7Wv8vhcAT079JqtTh9+jTq6upw9dVX9yuZPVSYjKJejfVk1O7du3HbbbcBAFatWoWNGzfK26qrq/Hll19i1qxZ/aq8aW9vx7lz51BbWwufz4e4uDhotVq5pKZozp2RkYGysjKYzWYoioJJkyYNOnEwmgxVHJ1OJ+rr61FWVobGxka4XC5ER0dj3rx58v9ltVqxe/duLF68OOx6CYmpi9OnT+/Xa8PhcKCsrAyxsbFBG1yKPgCiykp8UPpXa4mv4gNTnA0UH8RiNUK32w2NRoPExETZ/2kgvSN6IkrWi4uLkZCQgDlz5oy7KV3DZTRUYQCdMRZ9xMxms5xKEhMTg/T0dCQkJIyL1bf8NTY24m9/+xveeecdFBcXd7s9Li4OX//617Fq1SrEx8ejsrISbW1tso8H0BlfjUaDuLg4ZGdnIzs7e1DTWsVKWbW1tWhpaZHJMvE8/gsv6PX6gIuY1iJWPfJfKKK9vV0uyy0ONMXqShUVFdixYwc++ugj7N+/P2B7FixYgCeffBILFy6Uq2aJKXY2mw0OhwMajUZWO8XGxiI2NlZ+Do9Gg3lPiulLYswWY3lP/UXExeVyQVEUuZpjSkoK4uPjeQA9SKEeX0WvnqVLl/YrUWOxWLBx40a88cYbsNls8nqtVotbbrkFDz30UI+r5pWXl0Ov1/d68KkoCo4fP46NGzd2a0oOAIsWLcLq1asxd+7cbgfZ/peheh16PB60traipaVFVvtFRkZCo9HA7XbDZrMFjEHR0dHQ6/VIT09HTU2NrATxvzidTmi12oDxTfT1EVVUbrdbVq/6V1CNhqlOo4HdbsfBgwexZ88e7N69GyUlJT2+X6KiolBYWIhly5Zh2bJlmDFjxoCOkwbznhQr7JnNZpl4BDqrcs1mMzQajZzmLaq8/aeQ97Q6nlarlSsZilX4PB6PTFaJBJD/VEL/3yseB0D2wFKpVHI/SiSeYmNj5Wer/1Q78RxdLx6PBzqdTr62xcVsNmPnzp3YuXMn9u3bJ8eORYsWyRXoQ4HJKOrVWE9G/fznP8eLL74IAPjFL36BtWvXAuhsEnno0CFMmzat16XJvV4vqqurcf78ebS2tsrssdhJjImJQWpqKjIyMmA0GuUUqubmZrjdbkydOjXslqgf6jh6PB7U1dXhxIkTchW+xMREzJ8/H+np6Thw4AA0Gg0WLlw4BFs/evh8PhQXFyMvLw+xsbEA/tnQUEz7Ex9YVqsVlZWVsgKgp+VkRTkxAFndID4Y/asdxNkUcb/m5ma5pK5YPlcs/zwYiqLIaTQNDQ2ybD41NRWzZs3iAdIQGi3JKH8iMSWmojkcDqhUKiQnJyM9PV0u0TyenDx5En/5y1/w17/+NeiCCVOmTMGiRYtQUFCA3NxcmEwmNDU1yc8UkURWqVQwGAxISUlBTk4OsrOzLzop45/IFklssfKR/5lf/6nGHo8nYAlsjUYDg8EAk8kkk091dXU4cuQIiouLceLEiaD7ExkZGbjnnnuwaNEiWcHg8/nktIKYmBiZeBpLvYzEWB4XFyd7mnQ9IdA1kSTiKxoQiziLVa+CTfvw/yoONhISEji2DrFQj69NTU04evQo5s6dK3st9YfFYsFvf/tbvP766wFTXzUaDW6++WY89NBD3aqtLBYLamtrMXnyZPl+959Od+jQIWzduhWHDx8OeJxOp8PKlSvx7W9/GzNnzpTJ6eHicrnk9Lv29nb5ugcge+OIysuYmBjo9fqA8aKvGHq93m4JKrvdDp/PJyukxPP5V1E5nU7odLqABJVIEIyV8Wq4WCwW7Nu3D7t378aePXuC9lQUkpKScOmll8ppfb1V9AEDe0+K8di/ikl8b7Va0dTUhJaWFqhUKmRmZsp+YxqNBhaLBXFxcZgyZYpcqEU8X9eTwP4X0bbAP1klKqDEdRqNRjYT79ruQ3z+iuIHkXjSarUBrz2RWBWtEro2ixevWZHA3b9/P/bt24cDBw6gqqoq6P/r2muvxauvvtrr/3QoMRlFvRrryahrr70Wx44dAwAcPXoUKSkpsFgsOHDgACZMmIDp06cHfVxLSwvOnTsne+eI5oqiyWx6erqsFhGrNthsNlRXV8tpCTNmzEBmZmbYfRgNVxzFEt/Hjx+XJbRi5cEzZ85gwYIFMBqNMiF4scTBk4in/6Xrdf4/9/d70ZTTf6US/+/FgYfX65Vn/CMjI+UZFP+kkvgq+kmJv1u8psSHneDfqDAYcbtITqnVakRHRyMuLg4ZGRlDchDjdDrR3NwsG+SKnUSTyYSkpCQkJCSMyyTEcBuNySh/IjHV0NCAuro6OBwOOQUtIyMDJpMp7MbK3ni9XuzZswdbt27FRx99FNCM2J/BYEBBQQEKCgowadIkuWKWeG+JpIVGo5HLsOfk5CA+Pr7bwdjFEjvmovLJf/ECMbWhvb0d5eXlOHbsGE6ePImzZ8+isbGxx99pNBpxzTXX4Gtf+5rc0Ra9nWJjY0dFtZMY1/0PDLo2yO0psSQ+B/R6PTwejzxj3rUBbteDE1GRJqpKxLRJGlmhHl99Ph/27dsHrVaLlJSUgJWu+vN6aGlpwauvvorXXnstYCqdRqPB6tWr8b3vfU+eiPV6vTh27BgURZEVTGq1Gnv27MFbb73VrSl5TEwM7rrrLnzrW98KWPFvqClK5+rHogLKarXKg3dRTeI/9ddoNPY63l1sv1Nx4O9/EYkKMR1K7HeJHjx2ux1arVZOfw62XV0TZb3d3p/7+H8vTj6K/Tz/E5LiumD3GW7V1dVySt/u3bvR0NDQ431zc3Nl1dSyZcu6zY7wj6fYxw6WbBLfe71eOeb6J4LEPrFYWKOxsRExMTFy1oA4SaNWq5GWlibfH+I11HVqnRjrxb5012OKrskrsUBQ12or8bNarQ6ochLbIpJNer1ennQGEPB3OxwOnDt3DkVFRThy5AhKSkp6nEaZkJCA5cuXY8WKFbj++utDWsHOZNQwcLlc2Lp1Kw4ePChfUDfffHO/KjtsNhu2bNmC48ePQ6PRwGQy4fbbb8e0adNCsOXdjeVklMViQUFBgZwqt2vXLrS1tWHfvn3IyMjArFmzAgZft9uN8+fP48KFC2hubg4YqEVfjfT0dKhUKnR0dMizuDabTZ7JFX1T8vPzkZWVNex/40gY7jgqioLa2locO3YMDQ0N8qyUOOgBgpfI+n+wdE0ydb0E+5vEWWj/qiH/hBCAgCST/1eRSAqW4PJ/Tv/vxXOKlWTEDqZ/RRPQOZ5ERkbKXgXBDmi6lgj3dODjvxMiLhkZGYOKpcfjCUg+2Ww2qFSdK+8lJSUhMTFxwI1RaeBGezLKn8/nQ2trK+rq6lBXVweXywWTyYSMjAykp6fLs4/jRXt7Oz788ENs3boVBw4cCCjbDyYpKQlz5szBtGnTkJWVhbi4OHlmVDw2IiJCJpmTk5NhMpmCNjANRhyA+SefvF6v/B1AZ/PisrIyHDp0CCUlJXK6dU/UajWysrIwZcoUTJ8+HV/5yleQn58fsmoncUDhf5DSV6WSf4WSWDq867jbNYnkPyVJr9cjNzcXDQ0No/49Sb0bifG1qqoKdXV18mSox+OBWq2WlTdRUVGIiopCZGRkj++h1tZWvP766/jtb38bsKCCWq3GDTfcgO9///uYPHkyvF4v1Go17HY7/vSnP+G3v/1tQD83oHOltO9+97v4xje+0W3BmaGiKAqsVitaWlrk/oTYFxLHRKLyKSoqakCJ2qGMoWgg3fUikvQiQSD+Jv9t6O1k4WC3q+u+pv+JzWDfd33+YAms/n7fdRu6ft91OxVFQUVFBQ4ePIhDhw7hyJEjvTZDnzJlChYuXIhFixZhzpw5shLXbDbD6XTC4/HIfWT/fVzxt4lkYW8JIJ1Oh7a2NlRVVcleYZGRkbDZbPKYD4BMRBqNRlmxFBERId+nXStexfEBgG777f6JQP/4iTiJXmsi4aRSqQISb6J3lHjdORwOFBUVYf/+/di7dy/q6+uD/j81Gg0WLFiAFStWYMWKFZg9e/aInfhgMmoY/PKXv8SFCxfwk5/8BDExMTh8+DBeeOEF/Pu//zsWLFjQ4+N8Ph+eeuopaLVaPPHEE9Dr9fj444+xefNmPP3005g4cWII/4pOYzkZ9f777+O+++4DANxxxx1Yv349Pv/8cyQkJGD+/PlycGpqakJFRQWqqqrg8XjknNyUlBSkpKTI5nViMBLJA3HmVgxuIjE1a9askDZ+C7VQxVFUSh09ehRNTU0AAs8wCP39QO2aaPLn/4Elvvb1XF1/p7j0lAzqetAiEmhi+dVJkyYF3Ndut+PMmTNIT08ftrOPFxNLn88np901NTWhvb0ditLZ9FGskBUbG8vkU4iNpWSUP/F6Eiu+eTwexMfHIzMzE2lpaaOiQiZUVCoVYmJi8Omnn+LIkSMoKipCUVERLly40Odj8/LyMHPmTOTm5iIxMVFW7SqKIs/Qx8XFBSSmxAGtRqPplnxyu92IiopCREQEPB4POjo6cPLkSXzxxRey8kmsABiMRqPBlClTsGDBAixbtgxLly696JU3+8vr9creVWJlPbFaljgbrFare0woBUsqiR38i1kJaay+J6m7kYilz+dDU1OTTHSI17F4HYoDVZ1OF1AdJJLO/q/XtrY2vPHGG9i0aVPA+1alUuH666/HPffcg+3bt+P3v/99t/f1rFmzcP/992PlypXD0htJVM1aLBY0NDTIyg+VSiWn6Iq/bzCV26E4kep2u7slqMTY09t+63C9prru9wbbBxYnYoWuJ0P8t03c5p808f/aV2Vab7d5vV6UlZXhyy+/xLFjx3DixIluvckErVaL6dOnIzc3VyZSu05p7lpl5L/v7X+9fwJLfG+329HU1ISYmBh5jCduFxW8Op0uoDm/6GkoppbHx8fLVRzF/y7YCY+ervNfyERRlICKWfG5JCprS0tLsWvXLmzfvh1Hjx7t8YRWZmamTD4tW7ZsUH0nhxKTUUOstLQUGzZswMMPP4ylS5fK63/2s5+hrq4Ov/71r3t8Q+7YsQMvvfQSfvazn2HKlCny+ocffhjx8fFYv379sG9/V2M5GfU///M/ePbZZwEAL7/8stwBX7RoEdxuNyoqKnD27Fm0tbXJBFRycjLi4uIQGRkJu90uD7QByOoX/9US1Gq1bOgaFRWFlJSUAc3vH4tCHUdRKSV6iXQ9cyA+KMQZbv8GgeKstviw7XoA4l8xBAR+CKtUqm4fXD19iPlfup4l6ovH40FJSQkmT54szza2t7fj7NmzyMjI6Laq1FDqTyzFFByz2Szn1YsqCdEgNy4ujsmnERYOB77i4EskphRFQXJyMrKyspCcnBz205V6imFDQ4NMTIlLb4kgoHNnferUqcjLy5MVimL6W2RkJKKjo5GcnCzHQ7fbLRcpsFqtsFgsOH36NE6dOoXy8nJUVFSgvb29x+eLiIjAvHnzsGTJEixZsgQLFiwYkkUPuhJTd/ybm3d0dMipM4qiyM9kcWAupgCKVbNCNR00HN6T1Gk0xFIkO/ybb3d0dMBqtcrG9QBkNbl/rzXRa8ZqteKNN97Axo0b0dzc3OvzrVixAvfdd9+gVzP2n57k36rA5XKhqakJTU1NsupLTOcXTceHMvk1GmLYl/4mrPpzW7Cq/L5+DvZ91/v3dr+hJCp8Dh06hIMHD+LUqVOjKm6i+li8z0TVXnR0tOydGBsbi9TUVKSlpckFN/q7v+zf9qNrP7a6ujrs3LkTO3bswK5du3rcH4iMjMSSJUuwfPlyXHHFFZg0adKobIcwFpNRo/o06d69ewF0nknwN3v2bHz55Zc4e/YsJk+eHPSx+/btg8Fg6Hb7rFmz8Omnn6K1tVU2Oqa+XXvttdi2bZs8E6zT6ZCeno5//OMfslF2RESE7K3h9XrlctQiySHOoorVM0RvC5PJBIPBILPSNHxUKtVFDyxi/r7D4ZDLoooz5WL+tagc6HrwIg5cup45GeoDYq1Wi+TkZNTW1mLKlCloa2vD2bNn5QF4qClKZ9Px+vp6mXxyuVyIiopCQkICcnJykJCQMKgl5omCUavVSE5ORnJyMnw+H+rr61FVVYUjR47Is47+78eu01LF6jM9TWEdq8ms5ORkXHXVVbjqqqsAdL5HRR+Io0ePoqioCCUlJXA6nfIxHo8HpaWlKC0tlddFRUVhwoQJSEtLk7264uPjYTAY4HQ6ceHCBVRUVODcuXOorKwMWJWrK4PBgIULF6KwsBCFhYWYO3fukE6vdDqdAQknkXRyOByyGkSM2fHx8XJ1QfEaIQo3KpVKVuz5VzQoihLQyNhms6G1tRVmsxk1NTXyZJzRaERMTAxuuukm3Hrrrdi6dSs2btwoK8+Bzv2RG264Af/6r/+KmTNnBjy//wlA/0bLwVbr9Z/2Kqo8glXPiFkICQkJiI2NHff7FX31kRpvJk6ciBtvvBHAwJqhh4LL5YLZbIbZbO7zvhEREQHN9ePj4+VCLtnZ2Zg4caI8+SxO4qjVapm0EgsJ7NixAzt27MCJEyd6fK6pU6fK5NMll1wyLCeFaJQnoyorK2EwGLqVvolpNpWVlT0mo86dO4eUlJRuA1BaWhoURUFlZSUKCgqGZ8PD0OTJk/HGG2/gwIEDMJvNcLvdKCsrkxUvYk63zWaDy+WC0WiUZ5FEwknMxx+rBzHjnf+87q7ND30+n9yBE1M6bDYb6uvrUVlZKauqgH+WMYspf8EqosQBsZh+F+xguGvTWvFeT0lJQUlJCWpra1FXV4ecnBwkJiaG7P/kcDhQV1eHxsZGNDc3w+FwyIO8GTNmIDk5edzvJFJoqdVq2afP6/WipqYGNpstYCEAh8Mhf+568e+34P87u5bj+3/ftdpRJLD8E9H+U4D9+9R17cXWtW/FUH6GqFQqTJgwARMmTMDq1asBdO4Ynzx5UianioqKUFZWFnCW0WazoaSkBCUlJfK6uLg4JCYmyurTnphMJlxyySVYvHgxCgsLUVBQMOhqSI/Hg7a2NnkSSJwosNvtctEGkXAymUxIS0uTO/SsxCTqJCr7IyMjERcXJ6/3+XwyQWW1WtHa2gqLxYKqqir4fD5MnToV//Vf/4Vdu3bhwIEDmDVrFlavXo24uDi4XC4cPny42xQi//0iAAHjXdcpUWK6oEig+VeU++8vMelC/ZGQkICVK1di5cqVAID6+nrodDrU1dUF7BcEWzxooNf7XxwOBxoaGmRvtsbGRpjNZvm1rwpDAAFVgH0RK6KKiiqHw4F9+/bBbrcHvX9MTAyWLVuGK664AsuXLw/rNjGjyahORrW1tcFoNHa7XmQm/Ve1CPbYYL1h+vNYcRYiGJVKNajM6FB9UPjPWQ6Vjz/+WM451mq1MiMtyiVFlpoJp/4biTgOh74SVf4HtGInrKe53f7LcYtlz4N9OPo3OBfz28WOnNPpREVFBaKjo3udDjPUtFotLBYLDAYD4uPjMW3aNCQnJ/NsyhgTLu/LYLRaLXJyci7qsT29b4M1qhbvVzHF139Rgp5W0Az2c7Ay86495oL1nFOr1YiKiupxp7M//JNUHR0dqKiowJkzZ3D27FmcPXsWFosl4P5iqfSuoqKiMG3aNMyYMQMzZsxAXl6e7NfS0dGB/fv3X/Q2ikoOl8sFtVoNg8Egp7onJib2uDT7WBPO78nxZizGUlSTisVEBNFbrbW1Fa2trbjmmmtw2WWXQa1Ww+v1oq2tTSaWjEZjt9Udxck0kVAK1UpsgzUWY0g9S09PR1paGpKSkoZ9+p7D4cDp06fla96fWMSnubkZFoul2/f+X/uzb2+321FdXY3q6uqgt6tUKmRmZmLq1KmYOnUqsrOzodFo4PV68Y9//GPQf6tGo8GaNWuGpT9cT8bie3NUJ6NGyrvvvot33nkn6G0TJkzAc889d1G/NzU1ddBLvXeVlpY2pL+vN/PmzYPP58OSJUu4nPwQC2Ucw4XoO9a1rF0swdrR0RHyJJBGo0FGRgaio6ND+rw0PPi+HFldV9fsWq0V7GtPlVxDobCwMODn+vp6lJSUoLi4GMXFxSgpKYHVakV8fDwWLFiARYsWYeHChZg6deqwfl6aTCY57T3cP5f5ngwfjOXYxxiGl1DFMzMzs19VUL1xOp1obGxEQ0NDQHWV+LmhoUFe/AtQ4uLiMHfuXMydOxdz5swZ1sbjRqMR6enpIU1GCWPpvTmqk1HR0dFBV74RZzp7ewHFxMQEPSPan8euXr0aq1atCnrbYDKN9fX1Q1oZlZaWhrq6upA1oZs3bx6AzhLJnpa3pIEZiTiGM7VaHbTEPhT8Y2m1WkP63DS0+L4cW/x7XAmhiGF8fDymT5+Om2++GUBn8sxisSAxMTHkZyVFL6hwxfdk+GAsxz7GMLyMxXiK3sXp6el93tfhcKCxsRFutxt5eXkh/XxubGwM2XMBQx/L/vx/B2tUJ6Py8vJw+vRptLe3B1QaiERIbm5ur489efJkt2U2RUKot8eKktrhMNRv8p6mMdDYwjiGD8YyfDCWY18oY6hSqWR/Or5uhgffk+GDsRz7GMPwEq7x1Ov1Af2fwvFv7GosxXJU13MvWbIEAFBcXBxwfUlJCVJTUzFp0iQAnWcjW1tbuz3Wbrfj7Nmz3R47c+ZMrqRHRERERERERDQCRnUyKj8/H4WFhdi6dauc73nkyBEcO3YMd999t6x4evXVV3Hvvffi1KlT8rGXX345pkyZgi1btsglmj/55BOYzWbceeedof9jiIiIiIiIiIhodE/TA4AHH3wQW7duxVNPPSWXef/Rj36EhQsXyvvExsYiKioqoFmxWq3GE088gS1btuCRRx6BRqOByWTCU089hYkTJ47En0JERERERERENO6N+mRUREQEbr/9dtx+++093ufWW2/Frbfe2u36qKgo3HvvvcO5eURERERERERENACjepoeERERERERERGFFyajiIiIiIiIiIgoZJiMIiIiIiIiIiKikGEyioiIiIiIiIiIQobJKCIiIiIiIiIiChkmo4iIiIiIiIiIKGRUiqIoI70RREREREREREQ0PrAyioiIiIiIiIiIQobJKCIiIiIiIiIiChkmo4iIiIiIiIiIKGSYjCIiIiIiIiIiopBhMoqIiIiIiIiIiEKGySgiIiIiIiIiIgoZJqOIiIiIiIiIiChkmIwiIiIiIiIiIqKQYTKKiIiIiIiIiIhChskoIiIiIiIiIiIKGSajiIiIiIiIiIgoZJiMIiIiIiIiIiKikGEyioiIiIiIiIiIQobJKCIiIiIiIiIiChkmo8You92ORx99FHa7faQ3hQaBcQwfjGX4YCzHPsYwvDCe4YOxHPsYw/DCeIaPsRhLJqPGKEVRUFFRAUVRRnpTaBAYx/DBWIYPxnLsYwzDC+MZPhjLsY8xDC+MZ/gYi7FkMoqIiIiIiIiIiEKGySgiIiIiIiIiIgoZJqOIiIiIiIiIiChkmIwiIiIiIiIiIqKQYTKKiIiIiIiIiIhChsmoMUqn0+Hmm2+GTqcb6U2hQWAcwwdjGT4Yy7GPMQwvjGf4YCzHPsYwvDCe4WMsxlKljKW1/4iIiIiIiIiIaExjZRQREREREREREYUMk1FERERERERERBQyTEYREREREREREVHIMBlFfaqqqsJjjz2GdevWjfSmEBGFRFNTE5555hmsWbNm2J+LY+zwCGUMafgxnnQxOL4SEQ29oRpbtUO0PeNKfX09PvvsMxw5cgQA4PV6kZKSgtWrV2PGjBkB962qqsLmzZtRX18PRVEwYcIE3HXXXUhISJD3sdls2LlzJz7//HN0dHQAACIjI3H11Vdj+fLlUKlUAb/TZrNhy5YtOH78ODQaDUwmE26//XZMmzatX9vv8/nw/vvvY8eOHdBoNACA6667DldeeWXA/RRFwbZt2/Dhhx/C5/PJ+4aL8RLHHTt2YMuWLYiLi+v2O372s58hIiKiX8832o2XeALArl27sG3bNjgcDrhcLkyaNAl33HEH0tLS+v8PG8VGOpa7d+/GW2+9ddHvDY6x4yeGHF/DK54Ax1d/Qx3LyspKfPrppzh+/DjUajV8Ph+ysrJw8803Izc3t1/bz/F1/MRwPIyv4yWWAMdWf0MdywsXLuD//u//cOLECQCA0+mE0WjEtddei8suu6xf2z9iY6tCA/bMM88ojzzyiNLU1KQoiqK43W5l06ZNypo1a5SDBw/K+zU0NCjf+ta3lM2bNys+n0/xeDzKr371K+XBBx9UbDabvN+7776r3HXXXUpZWZm8bufOncott9yi/P73vw94bq/XqzzxxBPKj3/8Y8XhcCiKoigfffSRsnbtWuXs2bP92v4333xT+c53vqPU1dUpiqIoZ86cUdauXat8/PHHAferqKhQnn/+eaW1tVVZv3698sADDwzgvzT6jZc4bt++XXn77bcH8J8Zm8ZLPP/3f/9XWbNmjXLo0CH5d/7nf/6n8p3vfEexWCz9/XeNaiMZS5vNpvz4xz9W6urqlBdffFG55ZZbBrz9HGPHTww5voZXPDm+Dm8sv//97yvPPPOMYrVaFUVRFLvdrjz33HPK2rVrAx7fG46v4yeG42F8HS+x5Ng6vLF8++23lXvvvVeprq6W123btk255ZZblF27dvVr+0dqbOU0vYt00003yeylVqvF3XffDbVajQ8++EDe589//jN8Ph/WrFkDlUoFjUaDu+66C2azGR9++GHA71uxYgUmT54sf7788ssxbdo0fPzxx3C5XPL6Xbt2oaysDHfccQf0ej0A4JprrkFycjI2b97c53bX1dVh27ZtWLlyJVJTUwEAkyZNwvLly/HWW2/B4XDI+2ZnZ+Pf//3fERMTcxH/obFhPMRxPAn3eDqdTmzduhUFBQVYuHBhwN/Z2tqKv/71rxfzbxuVRiqWkZGRWL9+vYzDQHGM/afxEMPxJNzjyfF1+GMJAGvXrkVUVBSAztjeeeedcLvd+Pjjj/vcbo6v/zQeYjhehHssObYOfyxTUlJw8803IyMjQ1533XXXwWg04sCBA31u90iOrUxGXYRHH30UixYtCrguIiICJpMJVqsVQGep24EDBzBt2rSAMtKEhARkZmZi79698rrrr78ed999d7fnSUhIgMfjgdPplNft27cPBoMh4IUJALNmzUJpaSlaW1t73faDBw/C5/Nh9uzZAdfPnj0bdrsdR48eldeFU0lzMOMljuPFeIjnhQsX4HQ6kZ2dHXC/xMREREdH49ChQ70+z1gxkrFUq9VQqy/+o5FjbKfxEsPxYjzEk+Pr8MfyhRdewIQJEwLul5iYCADyuXvD8bXTeInheDAeYsmxdfhjuWLFClx11VUB9/N4PHC73f1KGo3k2Mpk1EXQarXd+hlYrVa0tbVh1qxZADrnjdrt9qBn8lJTU1FdXQ232w2g5x2tmpoa5ObmIjo6Wl537tw5pKSkdHv+tLQ0KIqCysrKXrf93Llzchu6bhOAPh8fTsZTHM+ePYuf//znePTRR/Fv//ZvePnll1FTU9Prc4w14ymePp+v2+9Qq9WwWCyw2+29PtdYMJKxHCyOsZ3GUww5voZXPDm+Dl8stdrurWrFe0U8d284vnYaTzEM9/F1PMWSY2voPifb2tqwadMmJCQk4MYbb+xz20dybGUyaoh88skniI6OxurVqwF0vggAwGAwdLuvwWCAoii9Zp1PnTqF8+fP48477wy4vq2trcff6f+8PRG3G43GgOvFz309PtyFYxx1Oh28Xi++/e1v47nnnsOGDRvQ2tqKxx57TA4+4Src4pmdnQ29Xo+KioqA+1ksFnmfcPhADyZUsRwsjrE9C8cYcnwNn3hyfB2ZWP79739Henp6t7P6wXB87Vk4xnC8jq/hFkuOraGLpcViwfe//31897vfRW1tLR555BEkJSX1uZ0jObYyGTUEysvL8f777+Phhx8OuuLDQFmtVrz88su49dZbUVBQMPgNpH4J1zheeumlePLJJ5GSkgIAiI2NxQMPPACfz4ctW7aM2HYNt3CMp16vx0033YQTJ07gs88+g8/nQ0dHB1577TXZq0qn043Itg2ncIzleBOuMeT4Gj7x5Pga+lgeOXIEBw8exA9/+EP5P6aBC9cYjsfxNRxjybE1dLFMSEjAf//3f+PNN9/EvHnz8Nhjj2HPnj2Dfu7h1L0+jwakqqoKv/jFL/Dggw8GlDSK0rlgmV673Q6VSgWTyRT0tmeffRaFhYVBy+piYmJ6/J3idgB45ZVXcPbsWXn7rbfeioULF8rt6ujoCHh+sWRkuDZ67Mt4i2NMTAzS0tJw6tSpXu83VoVzPG+44QbEx8fjs88+w/vvv4/o6GhceeWV0Gg0KCoqko0ow0WoY9lfHGP7b7zFkOPr2I0nx9dOoYhlaWkpNm3ahMcffxw5OTkBt3F87b/xFsNwHl/DOZYcWzuF6nNSr9fjxhtvxPHjx7Fp0yYsWLAABoNhVI6tTEYNwrlz5/CLX/wC999/f7cMZVpaGgwGA+rr67s9zmw2IzMzs1sW2Gq14j/+4z+wcOHCHl9oeXl5OHnyJBRFCZiXWl9fD5VKhdzcXADAfffd1+PjP//8c5jN5oAXm9lsBgD5+PEk3OPY1tYGk8nUbd6xWq2GoihBf/9YFu7xBIDly5dj+fLlAdd9+umnmDp16qAa/Y42IxHL/uIY2z/hHkOOr/8UDvEEOL4Cwx/LY8eOYePGjXjssceQl5fX7XaOr/0T7jEcT+NruMcS4NgKDF8snU4nIiIiuvWsysvLQ3FxMaqrqzF58uRRObaGT+RDrKysDM8//zwefPDBgBfaY489BqBzoLzkkktw6tQp2YgMAJqbm1FVVYUlS5YE/L62tjb89Kc/xaWXXhrwQtu0aRPKy8vlz0uWLIHdbg/IagJASUkJZs6cidjY2F63e/HixVCr1SguLg64vri4GAaDAXPnzu3fPyBMjIc4Pv744ygrKwu4X0dHB2prazFp0qRen2esGQ/xLC8vR0NDQ8D9LBYLKioq8NWvfrXX5xlLRiqWg8Ux9p/GQww5voZXPDm+Dn8sDx8+LCswxIFvc3MznnvuuT63m+PrP42HGI6X8XU8xJJj6/DG8gc/+EG39woA+T/vq7JpJMdWJqMuQmlpKZ555hksXLgQDQ0N2LVrl7z4vzDWrFkDtVqNt99+G4qiwOv1YvPmzUhJScHKlSvl/SwWC9avX4/o6GhER0cH/L4TJ04ElPJdfvnlmDJlCrZs2SKXdPzkk09gNpv71ZguLS0NK1euxAcffCCzneXl5di5cye+8Y1vBG2oFq7GUxzfeecd2Gw2AIDb7cbrr78Oj8eDW2+99eL/gaPMeInnJ598gtdee01+iFmtVrz00ktYsmQJCgsLB/dPHCVGMpaDxTG203iKIcfX8Iknx9fhjeXevXvxy1/+EpdffjnKy8vl/fbu3Yvz58/3ue0cXzuNpxiG+/g6XmLJsXX4PyfffvvtgEbje/fuxYEDB7B48WLZd60nIzm2qpRwq3MMgUcffbTbigD+/vznP8vvq6qq8Oabb8JsNkNRFOTl5eGuu+5CYmKivM/vf/97bNu2rcfft379euTn58ufbTYbtmzZguPHj0Oj0cBkMmHt2rWYPn16v7bf5/Phvffew86dO6HRaKAoClauXIkrr7yy232fe+45NDY2oq6uDh6PB1lZWdBoNHj22Wf79Vyj2XiJY1FREXbu3InKykqo1WpYrVbk5eXhpptuwpQpU/r1XGPBeInnnj178OGHH6K1tVWWr1922WW45pprwqbMeaRjuWnTJpSVlaGxsRE2m02WJz/55JN9VrkBHGOB8RNDjq+dwiWeHF+HN5b33HOPTCx0lZycjN/85jd9bj/H1/ETw/Ewvo6XWHJsHd5YFhUVYdeuXaioqIBGo4HdbofRaMSll16KVatWQavtuzPTSI2tTEYREREREREREVHIhEcqkoiIiIiIiIiIxgQmo4iIiIiIiIiIKGSYjCIiIiIiIiIiopBhMoqIiIiIiIiIiEKGySgiIiIiIiIiIgoZJqOIiIiIiIiIiChkmIwiIiIiIiIiIqKQYTKKiIiIiIiIiIhChskoIiIiIiIiIiIKGSajiIiIiIiIiIgoZLQjvQFERERE4WTDhg0oLS0d8OOWL1+OdevWYdOmTTh8+DCeeuopZGdnD8MWEhEREY0sJqOIiIiIhtiSJUtwzz33BFz3xhtvYN++fUFve+GFF+T3u3fvhtPpxNGjR5mMIiIiorDEZBQRERHREIuIiEBcXFy363q6Tav95y7ZjTfeiKKiIhQWFg73ZhIRERGNCCajiIiIiIZQQUEBYmJiLvoxq1evxurVq4dj04iIiIhGBSajiIiIiIbQjTfeeFGP2bFjB9asWSOvu/nmm+XPu3btwosvvhhwW2FhIf7whz/g5MmT0Ov1mDdvHu644w7ExMSgrq4Ob775puxdVVBQgHvuuQfx8fFBn//8+fN49913cfz4cbS3tyM6OhrTp0/H9ddfj8mTJw/47yEiIiLqDZNRRERERKPA0qVLMXfuXLz33nv44IMPAm4rLCxEQUGBvK22thZvvvkm1qxZA5PJhD179uCdd97BhQsX8Mgjj+APf/gDbrjhBtxxxx3YvXs3/vKXv8BsNuPnP/85VCpVwO/ev38/fv3rXyMxMRHf/e53kZ2djaqqKvzhD3/Ak08+iXXr1uGyyy4L5b+CiIiIwhyTUURERESjQEREBCIiIhAZGdnnbfv378dLL70kK53WrFmD4uJinDp1Cs8++ywee+wxedutt96K4uJinD59GqdPn8a0adPk762vr8dvfvMbAMD69euRlJQEAEhLS8PkyZPx4IMPYtOmTZgxY4a8jYiIiGiw1CO9AUREREQ0MAUFBd2m3E2aNAkAEBcX1+02MdWuoqIi4Ppt27bB6XRi8eLF3ZJNcXFxWLRoEZxOJ7Zv3z7UfwIRERGNY0xGEREREY0xqamp3a4zGo193ma1WgOu//LLLwH8M5HV0/OcOnXq4jeWiIiIqAtO0yMiIiIaY0wm00Xd5vP5An5ubGwEAPzxj3/E22+/3e3+Xq8XAGCxWC5mM4mIiIiCYjKKiIiIaJy77bbbsGjRoh5v12g0IdwaIiIiCndMRhERERGNU8nJyaipqYFGo0FaWtpIbw4RERGNE+wZRURERDROFRQUAADOnDkT9HaHw4HHH38cH3zwQSg3i4iIiMIck1FERERE49SqVaug1+tx8OBBmM3mbrdv27YN5eXlMmlFRERENBSYjCIiIiIaRlarFS0tLXC5XAAAl8uFlpYWdHR0BNxPXO9wOAB0ViWJx3k8nqC3eTyei74NAFJSUvDQQw9BURT89Kc/xd69e9HQ0ICKigps3rwZf/7zn3HnnXciJycnJP8rIiIiGh9UiqIoI70RREREROFqw4YNKC0t7Xb98uXLsW7dOvnzjh078NJLL3W73wMPPIDk5GT85Cc/6Xbb+vXrAeCibsvPz5c/V1VV4W9/+xtKSkrQ1taG2NhY5OTkYNWqVZg9e3Y//koiIiKi/mMyioiIiIiIiIiIQobT9IiIiIiIiIiIKGSYjCIiIiIiIiIiopBhMoqIiIiIiIiIiEKGySgiIiIiIiIiIgoZJqOIiIiIiIiIiChkmIwiIiIiIiIiIqKQYTKKiIiIiIiIiIhChskoIiIiIiIiIiIKGSajiIiIiIiIiIgoZJiMIiIiIiIiIiKikGEyioiIiIiIiIiIQobJKCIiIiIiIiIiChkmo4iIiIiIiIiIKGSYjCIiIiIiIiIiopD5/89X9IEeVwL+AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.style.use(\"ggplot\")\n",
+    "fig, ax = plt.subplots(figsize=(12, 4))\n",
+    "\n",
+    "# Plot the raw data with subtle colors\n",
+    "for metric, group in df[df['Label'] == 'Data'].reset_index().groupby('Metric'):\n",
+    "    ax.plot(group['Time'], group['Normalized Value'], color='gray', alpha=0.5, linewidth=0.8, label='_nolegend_')\n",
+    "\n",
+    "# Plot the factor with a contrasting color and thicker line\n",
+    "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "\n",
+    "# Customize the plot appearance\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['left'].set_position(('outward', 10))\n",
+    "ax.spines['bottom'].set_position(('outward', 10))\n",
+    "ax.tick_params(direction='out', length=6, width=0.8)\n",
+    "ax.tick_params(axis='y', which='both', left=True, right=False)\n",
+    "ax.tick_params(axis='x', which='both', bottom=True, top=False)\n",
+    "ax.set_xlabel('Time', fontsize=16)\n",
+    "ax.set_ylabel('Normalized Value', fontsize=16)\n",
+    "\n",
+    "# Minimalist legend placement\n",
+    "ax.legend(frameon=False, loc='upper right')\n",
+    "\n",
+    "# Add labels\n",
+    "ax.set_xlabel('Time')\n",
+    "ax.set_ylabel('Normalized Value')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Theme 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('white')\n",
+    "fig, ax = plt.subplots(figsize=(12, 4))\n",
+    "\n",
+    "# Plot the raw data with subtle colors\n",
+    "for metric, group in df[df['Label'] == 'Data'].reset_index().groupby('Metric'):\n",
+    "    ax.plot(group['Time'], group['Normalized Value'], color='gray', alpha=0.5, linewidth=0.8, label='_nolegend_')\n",
+    "\n",
+    "# Plot the factor with a contrasting color and thicker line\n",
+    "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "\n",
+    "# Customize the plot appearance\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['left'].set_position(('outward', 10))\n",
+    "ax.spines['bottom'].set_position(('outward', 10))\n",
+    "ax.tick_params(direction='out', length=6, width=0.8)\n",
+    "ax.tick_params(axis='y', which='both', left=True, right=False)\n",
+    "ax.tick_params(axis='x', which='both', bottom=True, top=False)\n",
+    "ax.set_xlabel('Time', fontsize=16)\n",
+    "ax.set_ylabel('Normalized Value', fontsize=16)\n",
+    "\n",
+    "# Minimalist legend placement\n",
+    "ax.legend(frameon=False, loc='upper right')\n",
+    "\n",
+    "# Add labels\n",
+    "ax.set_xlabel('Time')\n",
+    "ax.set_ylabel('Normalized Value')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Figure 2 - Consumption"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Time</th>\n",
+       "      <th>Metric</th>\n",
+       "      <th>Normalized Value</th>\n",
+       "      <th>Label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>Cons2</td>\n",
+       "      <td>0.339886</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>2020-03-01</td>\n",
+       "      <td>Cons2</td>\n",
+       "      <td>0.595546</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>2020-04-01</td>\n",
+       "      <td>Cons2</td>\n",
+       "      <td>0.831451</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2020-05-01</td>\n",
+       "      <td>Cons2</td>\n",
+       "      <td>0.345702</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>2020-06-01</td>\n",
+       "      <td>Cons2</td>\n",
+       "      <td>0.154480</td>\n",
+       "      <td>Data</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Time Metric  Normalized Value Label\n",
+       "35 2020-02-01  Cons2          0.339886  Data\n",
+       "36 2020-03-01  Cons2          0.595546  Data\n",
+       "37 2020-04-01  Cons2          0.831451  Data\n",
+       "38 2020-05-01  Cons2          0.345702  Data\n",
+       "39 2020-06-01  Cons2          0.154480  Data"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "columns = [\n",
+    "    \"GDP\",\n",
+    "    \"Cons2\",\n",
+    "    \"Cons3\",\n",
+    "    \"Cons4\",\n",
+    "    \"Cons5\",\n",
+    "]\n",
+    "factor = \"Factor_Consumption\"\n",
+    "state = \"MA\"\n",
+    "time = datetime(2020, 1, 1)\n",
+    "invert = True\n",
+    "df = norm[norm.State == state].set_index(\"Time\").drop(columns=[\"State\"])[columns]\n",
+    "factors = all_factors[all_factors.State == state].set_index(\"Time\")\n",
+    "\n",
+    "if invert:\n",
+    "    factors[factor] = factors[factor] * -1\n",
+    "\n",
+    "df = df.join(factors[[factor]]).rename(columns={factor: factor[7:]})\n",
+    "df.index = pd.DatetimeIndex(df.index)\n",
+    "df = df[df.index > time]\n",
+    "df = normalize(df)\n",
+    "df = df.melt(var_name=\"Metric\", value_name=\"Normalized Value\", ignore_index=False)\n",
+    "df['Label'] = ['Factor' if x == factor[7:] else 'Data' for x in df.Metric]\n",
+    "df = df.reset_index().sort_values(['Metric', 'Time'])\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Theme 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.style.use(\"ggplot\")\n",
+    "fig, ax = plt.subplots(figsize=(12, 4))\n",
+    "\n",
+    "# Plot the raw data with subtle colors\n",
+    "for metric, group in df[df['Label'] == 'Data'].reset_index().groupby('Metric'):\n",
+    "    ax.plot(group['Time'], group['Normalized Value'], color='gray', alpha=0.5, linewidth=0.8, label='_nolegend_')\n",
+    "\n",
+    "# Plot the factor with a contrasting color and thicker line\n",
+    "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "\n",
+    "# Customize the plot appearance\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['left'].set_position(('outward', 10))\n",
+    "ax.spines['bottom'].set_position(('outward', 10))\n",
+    "ax.tick_params(direction='out', length=6, width=0.8)\n",
+    "ax.tick_params(axis='y', which='both', left=True, right=False)\n",
+    "ax.tick_params(axis='x', which='both', bottom=True, top=False)\n",
+    "ax.set_xlabel('Time', fontsize=16)\n",
+    "ax.set_ylabel('Normalized Value', fontsize=16)\n",
+    "\n",
+    "# Minimalist legend placement\n",
+    "ax.legend(frameon=False, loc='upper right')\n",
+    "\n",
+    "# Add labels\n",
+    "ax.set_xlabel('Time')\n",
+    "ax.set_ylabel('Normalized Value')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Theme 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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xRby8vIDeDJ1zzz233/26glkOh4N3333XrTwxNzeXSy65hAcffJAXXnjB7XZFRUVcdtll3HnnndJ5f/nLX9i0aRMXXXQRa9as4dJLLwV6t7uuvfZa/vvf/7J//35mzpx52NfsqaeeYufOnZx99tk8/PDD0nOA3gE0w6nG+Oqrr6TMqr6uueYalEolmzdv7hdoa2pq4txzz+XRRx91C0YVFhbyyCOPoNVq2bRpkzRUzfUcXcPYVq5cSW1trRSMOjQI6HA4uPPOOzGZTLzyyissX75cumz9+vW8+uqr/P3vf+ehhx5yu51eryc9PZ1Nmzbh6+s75NdgshDBKEEQPM5sNh+V/aL6io2NFdlRU0hTUxNmsxlgXMribDYbLS0t6PV6WltbCQgIkJqYnn766cyYMYOCggJ27tzJ1q1biYiIIDIycszXJQiCIAjj4d133+Xee++ls7NzopcisdvtWK1WfHx8CAkJ4f777+e8885Do9HQ0dFBRETEsLOjqqurefrpp4HeYNeePXvIzc1FqVRK2UuDZbKcffbZ3H///WzdunXAYNT111/vNlBFpVJx4okn8uGHH1JRUUF6ejrQG4wCuOWWW9yCOOnp6Zx99tm89957bvf7n//8h9raWm688cZ+fbIWLFjAiSeeyLfffktXV5fUXwt6M8tvvvlmt+ufccYZbNq0idDQULfyNJlMxmmnncZ///tfCgsLDxuMstlsvPPOOwQFBfHnP//Z7TkAgw42G8xXX33FV1991e/8Sy+9FKVS2S8QBRAeHi4F+mpra6XMpn/96184HA5uvvlmt0CU6zlGREQMaU07d+6kurpaGpTT1x//+Efef/99PvvsM/7yl7/028dau3btlAxEgQhGCYIwBsxm81FfViSyo6aWsrIy6ffD9U8YDZvNRnNzsxSA8vf3R6vVEhcXx+7du+ns7CQoKAi5XM66deuko4cffvghWVlZqFSqoz7IKwiCIEwPjz76KIWFhRO9jEHV19fz6KOPct5556HVaiksLCQ7O5vc3NxhZUdVV1fzzDPPAL1Tl9VqNWeccQbXXHONFCyC3snx77zzDvv376ejowO73S5d5squOdRAARxX8KNvkK+oqAh/f/8Br79gwYJ+waj8/HwAKioqpEBaX3q9HofDQUVFhZTdBb0H8w7d/tdqtUBv4OvQDG9XIG2w5+dSXl5Od3c3y5Yt80gp3uOPP37YBuYHDx7kxRdfZNu2bTQ2NkqDmVyampqkYNSePXuA3jYLo1FQUADAokWL+l0WEBDArFmz2LJli1uQEUCpVLqdnmpEMEoQBI+zWCxSWvPRTGRHTR1jFYyyWq1SAKqtrY2AgAC0Wi3JycluG7IRERHU1dVJGxQXXHABd999NwcPHuSbb77huuuuo6yszKO9KgRBEARhotx+++3cc889kyozymq1YrfbUSqVBAcHs3btWqC3VM/hcGC1WoedHXXsscfy6quvHvY6r732Gn/7299QqVQcc8wxREZGSpkub7zxBlardcDb9c1KcvH27t297xvM6uzsHDS7eqCsLIPBAMCnn3562HWbTKYjrseVxXS4y2w222Efx/UeGWqW0WhUVVXxu9/9jq6uLhYvXsyvf/1rAgMDkcvl5OTkkJOT4xac6urqQiaTSUG3kerq6gIYdHiO6/5d13NRq9VTuo2DCEYJguBxokyvl8iOmjpKS0ul30dbpueauqPX62lvbycwMBCtVktqauqgGYNRUVHs2rWL5ORkvL29USgU3HbbbVK6+3vvvccf/vAHWltb+zWvFITpas+ePTz++OO0trby3HPP9SuBEARh6jrvvPM477zzJnoZEqfTyY8//khPTw8nnXSSWymYXC5Ho9Gg1+uJi4tjx44dHukdBb2BmOeeew6tVsvHH3/sFhxyOp288soro36MoKAg2traBryspaWl33muwNELL7zAr3/961E//mi5Dug2NjaO+WO9/vrrGAwG1q9fz9lnn+122b333itNxHMJCgrC6XSi1+tHFSxzvebNzc0DXq7X692u5zKVA1EAR9/cdUEQxtzR3sC8r9jYWNrb2+no6JjopQiHUVlZKf0+kswoi8VCbW0t+fn5/PLLLzQ0NKBSqVi8eDHz588nLi7usKWrQUFBBAQEuG1oXXXVVVLg6d///jc+Pj4UFxe7He0UhOkoLy+Ps88+mzlz5vDGG2/w6aefcu211070sgRBmMasVqvUZuLQnkTQm5mi1+vx9fWVsqM8oa2tjc7OTubOndsvS2nv3r309PSM+jHS09MxGo3s37+/32W5ubn9znMdQHWV6020xMREAgMD2bt3r5S1NVaqq6sBOPHEE93Odzqd7Nq1q9/1Xa/Vli1bjnjfribrDoej32Wu3lyHBrugt9fYvn378PX1JTEx8YiPM5WIYJQgCB5lt9ux2WwiGPX/+fj4EB0d7RbsECYf18YHDD0YZTabqampYdeuXfzyyy80NTWh0WhYsmQJ8+bNIzY2dlgNJXU6HXV1dTidTqC3R8ANN9wA9B45/ec//4lSqRTvJWHa+uWXX1ixYgULFizgk08+cbvs888/Z8eOHRO0MkEQprvu7m68vLwGPXAUFhaG3W6ns7OTuLg49Ho9RqNx1I+rVqvx9fVl//79bmVvBoOBBx54YNT3D0gZPk888YTbAa2ioiI+/vjjftc/6aST0Ol0bNiwYcDPXavVOmAQa6x4e3tz/vnn09nZyYMPPtjvoFxnZyfd3d0eeSxXL6i8vDy381966SWKi4v7XX/VqlV4eXnx5JNPUltb63aZ0+l0O8joamFSX1/f737mzZtHXFwcP/74I1u3bnW77Pnnn6e9vZ3TTz992lWeiDI9QRA8ymw2I5fLpZp1oTc7atu2baJ31CRWU1MD9AYPDze1rqenRyrB6+joICQkhPDwcGbMmDHqAGx4eDhlZWXS/QKsWbOG9evXYzKZePXVV7ntttuoqqoiPDx82NNjBGGy+u9//8tf//pXfvjhB7fzdTodxx57LP/+978B+Otf/8pnn302EUsUBGGaMxqNKBSKQb/L5XI5arUavV5PcnIy4eHhw56sN9j9Xnjhhbz22mucffbZ/PrXv6arq4sff/yR6Ohot2l5I3XOOefw2Wef8dNPP/Hb3/6W4447DoPBwObNmzn22GP7ffb6+Pjw1FNPcfXVV3PxxRezZMkS0tLSkMlk1NXVkZubS2hoKF9++eWo1zZUN910E7t37+bjjz9m9+7dLF++HB8fH2pqavjpp594++23PdJXc9WqVXzwwQfceOONrFixgtDQUPLz8ykoKOBXv/oV//nPf9yun56ezl133cUDDzzAGWecwYknnkh0dDR6vZ7c3FyOP/54/vznPwOwePFiZDIZjz/+OCUlJQQFBREcHMzFF1+MXC7n4Ycf5qqrruKaa67hlFNOITo6ml27dpGTk0NcXBx/+tOfRv38JhuRGSUIgkdZLBZ8fHymfA2zJ7myozyV0i14ltPppK6uDoC4uDgpjdrFZDJx8OBBdu7cyfbt22lpaSEiIoKlS5eSnZ1NdHS0RzIBvby8pEbmLhqNhquvvhro3VDesGEDsbGxFBUVSRlUgjAVOZ1Ovv76a5YvX86vfvUrt52h+Ph4nn/+ecrLy3nzzTelMdubN28e16PxgiAcPVyZUYf7PneV6jmdTuLj4z2WHXXrrbdyyy23IJPJePvtt9m6dStnnHEGr776KgqFYtT3L5fLee6557jqqqswGAxs3LiRXbt2ceedd3L55ZcPeJusrCw++eQTLrnkEhoaGvjXv/7F+++/T3l5OSeddBL/93//N+p1DYdSqWTDhg2sW7cOPz8/3n33XTZt2kRZWRmrVq2SMppGa8aMGbz66qvMmDGDr7/+mvfff5/g4GA2bdrErFmzBrzNxRdfzBtvvMHixYv56aefePXVV/n555/JyMhgxYoV0vVSUlJ4+OGHCQsL46233uKpp57itddeky5fsGAB77zzDieccAI///wzr732GrW1tVxyySW8884707JnqMwptmaHZP/+/axcuZIPPvhgwLGYgiD0amxspK6ujrlz5070UiYVi8XCtm3byM7OFtlRk4xer5eOPJ544ol8++23mEwm9Ho9er2erq4uwsLC0Gq1qNXqMU2R7u7uJi8vj6VLl0oboFVVVSQnJ2O321GpVFRWVnLgwAGioqKknXRBmCqcTiebN2/m/vvv79cbIzk5mbvuuovVq1e77YC98MILXHfddQCcccYZR5zwJAiCMFz5+fmYTCaioqIGHWTicDj4+eefyc7OJigoiMLCQgAyMjLGcaWCMH2IzChBEDxKTNIbmMiOmrz69gCIjIwkNzeXnJwcDAYD0dHRLFu2jKysLKKiosb8vR0QEEBQUJBbj4H4+HguvPBCAFpbW3nttddIT0+nsrKy31hlQZisHA4HH3zwAfPmzePMM890C0RlZGTw5ptvUlhYyBVXXOEWiDKZTPz+97+XAq+fffZZv14egiAIo9Xd3Y1MJjtsZlTfUj3o/X5uamoS38WCMEIiGCUIgkeJSXqDi42Npa2tTUzWm2RKSkqk30NCQggNDeWYY45h9uzZREZGeiRFfjgObWQOcPvtt0u/P/bYY/j7+xMREUFxcbEo1xMmNbvdzr/+9S9mz57Nueee6zadafbs2bzzzjvs27ePiy++GG9vb5xOJ+3t7ZSVlZGTk0NOTg4FBQWsXbtWut1f//rXCXgmgiBMV1arFavVitPpPOI2bN9SPT8/P6l3lCAIwyeCUYIgeJTZbBbBqEGI7KjJqaKiQvpdq9WiUqkmtAG/VqvFYrG4jS+eNWsWZ5xxBgAHDx5k06ZNJCUl0d3dTVNT00QtVRAGZbPZeOONN8jMzOSCCy6goKBAumzevHl8+OGH5Ofn8/vf/x6Hw0FTUxMFBQX8/PPP7N+/H6vVSlxcHDqdDovFwtKlS4mJiQHg008/ZefOnRP11ARBmGa6u7tRKpXYbLYjZkCrVCosFos0vU1kRwnCyIlglCAIHiXK9A7PlR3V2dk50UsR/r++wUGVSjXhwVS5XE5UVJRbI3OAdevWSb//7W9/Qy6Xk5qaSmlpKVardbyXKQgDslgsvPzyy6SmpnLZZZe5ZR4uWbJEakJ+8sknU1tbS35+Plu3bqWqqgo/Pz+ysrJYunQparWaiooKOjs7kclkGI1GqW8UiOwoQRA8x2g04uvri91uP+I2gJeXFyqVSirVE9lRgjByIhglCIJHiTK9w3NlR1VWVk70UoT/r7q6Wvo9PDwcX1/fCVxNr6ioKPR6PRaLRTrv2GOP5ZhjjgGgoKCAzZs3o9FoCAkJobS0dKKWKggA9PT08Oyzz5KcnMw111zj9hl3/PHH8/XXX/P555+TlpZGTk4Oubm5tLW1odVqWbx4MQsXLiQxMRGFQsG+ffsoLi4mISGBuXPnEhERQXBwMIsXL0an0wHwySefsGvXrgl6toIgTCfd3d0oFArkcvmQMqP7luqByI4ShJESwShBEDzG6XSKMr0hENlRk0ttbS3Qe7QzMjISLy+vCV4R+Pv7ExISQkNDg9v5fbOjHnnkEWQyGampqTQ3N9Pa2jreyxQEjEYjTzzxBImJiaxZs4aamhrpspNOOomPPvqI5557Dj8/Pw4cOIDdbic5OZljjjmGrKwsoqOj8fX1xeFwUFlZyY4dO/D19WXRokVERUUhk8mIjo6ms7OT6OhoVq9eLd2/yI4SBMETjEYj3t7eKJVKZDLZEa+vVqvp6enBaDQCIjtKEEZKBKMEQfAYV/NHUaZ3eCI7avKw2WxSwCcyMpLAwMAJXtH/DNTI/PTTT2fmzJkAbN26lS1btqBUKklKSqK4uBi73T5RyxWOMp2dnfztb38jPj6eW2+91S1wesIJJ/D6669z9913Ex0d7VZ+l56ejkajcQv6trS0sGPHDlpaWsjOziYtLc1tcEBwcDD+/v4EBARw2mmnERkZCcDHH38ssqMEQRi17u5uvLy8hnww9dBSPYC4uDiRHXUUs1qtNDc3U15ezq5du8TU1yESwShBEDzGYrHg7e09KTJLJjuRHTU56PV6abphdHT0pMrq02g02O122trapPPkcnm/7CjoDVz5+PiIAKcw5trb27nvvvuIj4/njjvuoLm5Wbrs+OOP5+WXX+bJJ5/kN7/5DUuWLGHBggUkJiYSHBzcL+Ogp6eHffv2ceDAAWJiYpg3bx7BwcH9HtOVHVVfX8+cOXM4//zzpcvuu+++sXuygiBMezabDYvFglwuH9Y2gKtUz8Xf3x+tViuyo44CTqcTo9FIfX09hYWF5OTk8PPPP1NeXo7VaiUyMlI6cCgc3sSNCxIEYdoRJXpD1zc7avbs2RO9nKNW3+bKOp1uUvSLcunbyFylUknnr1q1irvvvpvq6mo2b97M3r17mT17Nunp6eTl5REeHk5QUNAErlyYjoqKinjjjTd49tlnpQAu9AaKTjjhBG688UaWLVtGWFjYEQ9IOBwOampqqKqqQqvVsmjRoiNm1IaHh1NWVobdbufaa6/l7bffRq/X89FHH5Gfn092drYnnqYgCEeZ7u5ufHx8htS8vC+1Wk1RURFGoxF/f3+gt3dUbm4u8fHx+Pn5jdWShXFmt9vp7Oyko6MDg8GAwWDA4XAQFBRESEgIycnJBAcHu2X0CkMjMqMEQfAYMUlveER21MQrLy+Xfo+IiJh0wdSoqChaWlowm83SeQqFgttuu006vX79egACAgKIjY2lqKjIrbRPEEaqqqqKRx55hDlz5pCRkcHDDz8sBaK8vLxYuXIlubm5fPPNN5x11ln9yu8G0tbWRm5uLo2NjWRlZZGRkTGk7w25XI5Op6O2tpb09HQuvfRS6TKRHSUIwki5gknDPaDq7e1NWFiYyI6ahiwWC3q9ntLSUnbu3MmWLVsoKCigo6OD0NBQsrKyOPbYY5k7dy5JSUmo1WoRiBohEYwSBMFjxCS94fHx8UGn04nSqglUUVEh/a7VaickM8rpdOJwOAa8zM/Pj7CwsH6NzK+88krUajUAmzZtkjZ84+PjpawTQRgup9NJZWUlDz30EPPmzSMhIYE777yTPXv2SNdRKBRcfvnlFBUV8f777zNv3rwhNfw1m80UFBSwb98+oqKimD9/PiEhIcNan06no7W1lZ6eHtatWyf9DXz44Yfs3r17eE9WEASB3syogICAEWX3H1qqB2Ky3lTjdDrp6uqirq6OAwcOsG3bNrZu3UplZSUOhwOdTseiRYtYunQps2bNIjY2luDgYORyEUbxBFGmJwiCx4gyveGLi4tj27ZtdHZ2itKqCdD36KVGoxmX96/NZqOzs1NK9e7o6MDf33/QnXqdTkdJSQlxcXHS5QEBAdxwww385S9/wW6389hjj/GPf/wDuVxOWloae/fuRaPRiDIBYVBOp5Oenh46Ozupqanho48+YvPmzeTn5w8YHF20aBGrVq3i/PPPR6fTDetxamtrqaioQK1Ws2jRohH/nSmVSrRaLXV1daSkpEh/A9CbHfX++++P6H4FQTh6GY1G1Go1TU1Nw/5s0mg0FBUVYTKZpO9bV3ZUdXU16enpY7FkYRTsdrtUbtfR0UFHRwdOp1MquYuIiCA4OBhvbxEmGQ/iVRYEwWPMZvOkmkY2FfTNjhK9o8Zf3wwitVrt8cwop9OJ2Wx2Czx1dXXh6+tLcHAwGo2GxMREDhw4QG1tLTExMf3uQ61WU1xcTGtrq5QJArBmzRrWr1+P0WjklVde4d5770Wj0RAaGkp4eDglJSXMnj17SFkrwvTmdDoxmUx0dnbS1dVFZ2cnTU1N/Pe//+XHH3/kl19+GXAS4+zZs1m1ahWrVq0iKSlp2I9rMBgoLi7G6XQya9YswsLCRv1cYmJi2L17NwkJCaxdu5ZnnnmG5uZmPvjgA/bs2UNWVtaoH0MQhKNHd3c3MTExWK3WYbea6FuqFxcXJ53v6h0VFxcnDgpNAj09PRw8eBCDwSD1CAsJCUGlUpGYmEhgYKDYVpogIhglCILHiDK9kRHZURPDZrNRX18vnQ4PDx91zzOHw0FXV5cUeDIYDFitVgIDAwkJCSEuLo6QkJB+fydpaWns27cPrVbb7zKZTCY1Mu8bjFKr1Vx99dU89dRTmEwmnn76af76178CkJycTE5ODk1NTURERIzqOQlTi2vKT9/AU1dXF06nE29vb/Ly8vjqq6/49ttv3XqRuaSkpEgBqJFOA7JYLJSXl0s7aLGxsR4raQgODsbf35/Gxkaio6NZt24da9euBXqzo9577z2PPI4gCNOfzWbDbDbj5eWFTCYb0TaAK1uzbzBKZEdNHk6nk/379+Pj40NcXBzBwcGTaljN0U4EowRB8BhRpjcyIjtqYphMJqkXU3h4+ICj54/EarW6TVfp7OxELpcTEhJCcHAw0dHRBAUFHbGpc1hYGBqNhpKSEmbNmtXv8qioKLZv305PT4/bRtStt97Ks88+i81m45lnnmHt2rUEBgbi7e1NamoqxcXFqFQq0VhzmnI4HAMGngCCgoIIDAxEo9FQUVHBhx9+yMcffzzgwISYmBjOP/98Vq1axfz580d8hNjpdFJfX095eTmhoaEsXLhwTDb6Y2JiqKysRKfT8cc//pH169ej1+t5//33pemSgiAIR2I0GlEoFDidTnx8fEb02afRaCguLu73/dx3sp4IfkycgwcPYrPZyM7OPuK2mDD+RDBKEOjdgBbpmaPjcDhGlOIs9BLZUeOvra2N1tZWoHey4ZECqa5Sp74ld64pPMHBwURGRpKeno6fn9+IPk9c2UwtLS1uGVAAvr6+qFQq6uvrSUxMlM6Pi4vjwgsvZOPGjbS2tvLKK69w8803A70byA0NDZSWlpKZmTns9YyWzWaju7ub7u5uqQRsoNdlsNdqOOcfep5SqSQ0NHRafq7bbDaamppobGyko6MDuVwuBZ6io6MJDAxEqVSyZcsWXnjhBd577z3pfd6XVqvld7/7HatWreKYY44ZdeZSZ2cnxcXFWK1WMjMz+72HPUmr1VJWVkZbWxsqlYo777yTW2+9FejNjnr33XfH7LEFQZg+RjpJry+FQkFoaCh6vZ7Y2Fjp/L6T9UR21MQwGo1UVlYyZ84cEYiapEQwSjjqdXV1sWfPHpYuXTotd1zGi8ViGXGKs/C/7KiqqqoBM2MEzysvL5d+j4qK6nfk0m63S43GXdlPDodDanKZnJxMcHCwx7KOfHx8SEpKori4mEWLFvXbcNLpdBQVFREfH+8WOLj99tvZuHEjAI8//jjXX3+9dIQ3LS2NnJwcWltbUalUHlnnoex2O0ajUQo8uX7MZjM+Pj4EBARIjUCdTueA9zHQ+cO57qHnG41GACIiIoiIiCAgIGBKf747nU46Ojqor6+nqamJgIAAoqKiyMjIwNfXF5lMhtPpZPv27fzrX//inXfe6TeBESAkJISVK1eyatUqTjjhBI80aLVarVRUVNDQ0CCV5Hlio9/1nOvq6gDIyMiQ/g/lcjk6nY6amhpUKhV/+MMf+Nvf/kZjYyPvvfce+/btE5+jgiAckWuS3mjbTGi1WhoaGtyCUSCyoyaS0+mksLAQnU437MmtwvgRwSjhqFdfX4/FYsFkMuHv7z/Ry5myXDueU3mHb6KJ7Kjx1TcYFRkZiVKppLu7m/r6egwGA11dXSgUCkJCQggNDSU+Pp7AwMAxHecbFRVFY2MjlZWVJCcnu12mUqmQyWS0tLSg1Wql82fOnMmZZ57Jp59+ysGDB9m0aROXXnop0Jsh5ApwLVy4cFRBAlcvokODTiaTCW9vbwICAggICECtVhMXF0dAQMCElQc6nU7a2tpobGxk586d+Pn5ERERQXh4+JTaIbBYLDQ0NNDQ0IDFYiEiIoJ58+ZJgyKcTid79+5l06ZNbNq0yW06pIu/vz9nnXUWq1at4tRTT/VYKbXT6aShoYHy8nKCgoJYuHChRxr12mw2Ghsbqaurw2w2ExERQXNzMw0NDURFRUnX0+l0VFdXS5kN69atk7Kj/vKXv4jeUYIgHJHRaCQsLIyenp5RfTa6yuwPLdXz9/dHo9GI7KgJUFNTg9VqdcsmFyYfEYwSjmoOh4PGxka8vLzo6uoSwahRcAWjhJET2VHjq6KiQvo9IiICpVJJWVkZ0NuTxtVofDwDrK5spry8PCIiItymU8pkMnQ6HfX19W7BKIB169bx6aefArB+/XpWr14tBc10Ot2gAa6BuCYAHhp06u7uRiaTSUGnkJAQdDodAQEBky4QLZPJUKlUqFQq0tLSaG5uprGxkYqKCml0s1arnZSjm51OJ62trdTX19PS0kJoaCgJCQloNBrp/7S1tZVnn32Wt99+m8LCwn734ePjw4oVK1i1ahVnnnkmAQEBHl1jV1eXtOOVlpaGRqMZ9f9/V1cXdXV1NDY24u/vT0xMDOHh4Xh5eaFSqThw4AAqlUraYfTx8UGr1VJbW0tqairXXnutlB31wQcfiN5RgiAckWuSnsFgIDg4eMT345rO1tzc3G8qbkJCgsiOGmdGo5GKigqysrJEed4kN/m2wgRhHOn1eukLpKuri/Dw8Ile0pQlJul5hsiOGj8HDx6UftdoNPj6+tLT00NycvKY9rs5koCAAGJiYiguLmbu3LluO/mRkZFUVlZiMpncslCOOeYYjj32WLZs2UJBQQGfffYZZ511FtAbmElPTycvL4/w8HDpfeV0OrFarQMGnRwOB35+flLgSaPREBgYKJWETSVeXl5SuZ7FYqGxsZHa2lpKSkpQq9VERESgUqnGNONtKFwN9evr65HJZERGRpKcnOz2/+x0Onnrrbe47bbb0Ov1brf38vLixBNPZNWqVZxzzjmEhoZ6fI02m43Kykrq6uqIiYkZ9Ya+3W5Hr9dTV1dHV1cXERERZGdn9/vsU6vVqNVqiouLmTVrlvQejI6OZvfu3SQmJuLv78/tt9/ObbfdhtPp5M9//jOffPLJqJ6vIAjTl91up6enZ9Q9o1y0Wi1NTU39glEiO2p8OZ1OioqKiIqKGpPvwaFwbUuJ/cojG3UwqrOzk71799La2opOp2PevHmeWJcgjIuGhgYiIyORy+W0tbVN9HKmNJEZ5RkiO2p82Gw2qRcN9JbA+fj49Euxnyjx8fE0NTVRX1+PTqeTzlcqlWg0Gurr60lKSnK7zbp169iyZQsAjzzyCGeeeaa00x4QEEBsbCyFhYWEhoZKG0pWqxVfX18p6BQdHU1AQAD+/v4THpwZCz4+PsTGxhIbG0t3dzeNjY2UlJTgcDgIDw8nIiKCoKCgcQu4ORwO9Hq9VBqqVqtJT0+XSjL7Ki4u5rrrruP77793O3/58uWsWrWK8847b8w2fHt6eqitraW+vp7AwEDmz58/qmwro9FIXV0dDQ0N0mdeVlbWYTPVUlJS2LFjB01NTURERAAQHBxMQEAADQ0NxMTESL2jmpqa+Oyzz9i5c6fYLhUEYUBGoxFvb298fHw8FowqLS0d8L7i4+PJy8sT2VHjoLa2FrPZTFZW1rg+bk9PjzRcxGQySa0BhMMbcTCqq6uLhx9+mI8//liakvPb3/5W+tJ/9913eeqpp3j22WeZM2eOZ1YrCB5kMplob28nMzMTo9HoliUhDJ/ZbPZ4KcjRKjY2lu3bt4vsqDFkMploamqSTmu1Wry8vHA4HJNiQ9HLy4vU1FQOHDiARqNxC/TqdDoKCgpISEhwCxiddtppzJo1i3379vHLL7+wZcsWli9fLl0eHx+P1WpFJpNJTb0DAgKO2hT2gIAAkpKSSExMxGAw0NjYyJ49e1AoFNJG5FiVbnd1dVFfX09jYyM+Pj5ERUUxY8aMAQP6ZrOZRx55hIceegiLxSKdf9555/Hoo4+SkJAwJmt0NRCvqamhubkZtVrN7NmzCQ4OHlGwzuFw0NLSQl1dHQaDAY1Gw6xZswgJCRnS/SkUClJTUykqKiIsLEx6raKjo6msrCQ6OlrKjvrTn/6E0+nkzjvv5Msvv5xy2XyCIIw9V7858Ex2v4+PD8HBwTQ3NxMdHe12mSvDuLq6mrS0tFE9jjA4k8lERUUFs2fPHpdtG6vVil6vl6bbhoWFERsbi0ajmZRtACajER327Onp4ZJLLuH9998nJCSE4447rt90m1/96le0tLTw7bffemShguBpDQ0NqNVqadqT2WzGarVO9LKmLFGm5zlKpVLKjhLGhslkorGxEejNigoMDMRms6FQKCZNcEatVhMWFib1sXIJDQ3F29ub5uZmt/Plcjm33367dPpvf/tbv8vT0tJISUkhKiqK4ODgSfNcJ5JMJiM0NJT09HSWLVtGUlISXV1d7Nixg507d1JbW+uR7wabzUZtbS15eXns3LkTu93O7NmzWbhwIbGxsQMGon744Qdmz57NX/7yFykQFR8fz+bNm3n33XfHJBDl6qW4c+dO9uzZg1KpZNGiRcMKHPXV09NDRUUF27Zto6ysjLCwMJYsWcKMGTMIDQ0d1v1ptVpUKhXFxcXSdqdWq8Vut9Pa2grAH/7wB+lo9DfffMN//vOfYa1XEISjQ99Jek6n0yPZ/Vqttl8JtUt8fDwNDQ309PSM+nGE/lzleREREWNanme322lsbGTv3r1s3bqVhoYGwsPDWbp0KVlZWURGRopA1DCM6JXasGEDBQUFnH766dx///34+/uTkZHhdh2tVktycjLbt2/3yEIFwZNcU4BcRycUCoU0SWui6ounOlGm51kiO2psdXZ2ShuMMTExUr+oyZAV1VdKSgo5OTm0tbURFhYG9AZPoqKiqKur65cCvmrVKu6++26qq6vZvHnztGvibLVaaW1tpaWlRfrX9dP3dEhICJdddhnLly8fVrBDLpej1WrRarVuRzxLS0tRqVRERESgVquHHMRzOp0YDAbq6+vR6/UEBgYSFRVFeHj4YTdW9Xo9f/rTn9i4caN0nre3N7feeiv33nvvmGShWq1W6uvrqa2tRSaTERMTM+KNalcT9rq6OlpbW1GpVIOWHw6Xq1xPr9cTHh6OXC5Hp9NRW1uLWq0mICCAtWvXsnbtWpxOJw888ACLFy8WA0qEaclms2EymcR2wggYjUZCQkIwm80oFAqPlKZrtVrKysqwWCz9tolFdtTYqquro6enZ0y2eRwOB21tbTQ1NdHc3IxSqSQiIoKUlBSPTJE9mo0oGPX555+j0Wh46KGHDpsJkZCQwJ49e0a8OEEYK62trTidTlQqFY888ggbNmzgD3/4A7GxsSIYNQKu6VsiM8pz+mZHid5RnldZWSmVmOt0OpRK5aQMRimVShITEykuLmbhwoXSxnJkZCQVFRVuZQbQG1i/7bbbuOmmm4DeyXpvvvnmhKz9cFxBmkMDSgMFmfqe39HRMeTH2LBhA/PmzeOWW27h97///bCD5QqFAp1Oh06nk8o6KyoqKCoqQqvVSkdfBwqumM1mGhsbqa+vx2q1EhkZOaQ+Sw6Hgw0bNnD77bdLmT4AS5cu5cUXXxyTjWyj0UhNTQ0NDQ0EBweTmpqKWq0eUdDIYrHQ0NBAXV0dDoeDqKgoUlNTPfp35ePjQ2pqKiUlJYSGhko9p6qrq6W/h+uuu47169ej1+v54Ycf+OKLL1i5cqUo1xOmnYaGBiorK1m6dKnIdB2m7u5udDqdR7dflUolQUFBNDc3u/V7dHH1joqLi5t02xtTmclkory8nFmzZnns78BVqt7Y2Iher0culxMeHs7cuXMJCAgQ3yceMqJg1MGDB1m2bNkR/3B9fX1FU2hhUnI1Li8pKeGuu+7C6XTy7LPPsmLFiole2pRkt9txOBwiGOVhruyorq4uAgMDJ3o500p5ebn0u06nm7SZUdDbE6exsZGqqioSExOB/421r6urIyUlxe36V155Jffddx8tLS1s2rSJ+++/f8z6Ch2O2Wzm+++/Z/PmzVRXV7sFmVpbW6Vg4FjauXMnq1ev5vbbb+ePf/wj1157LRqNZtj34+fnR3x8PHFxcXR2dtLY2EhBQYG0cerqwdXS0kJ9fT2tra2EhoaSmJiIRqMZ0hH3goIC/vCHP/DTTz9J54WGhvLII49w9dVXe7ShvNPppK2tjZqaGtrb26UN7JFkV7gCi3V1dej1ekJDQ6WJlGPVBN81taq0tFTqtaXVaqmtrSU1NVXKjrr99ttxOp289NJLLFiwgPj4+DFZjyBMlPb2dmw2G42NjQMGP4SBORwOTCYT/v7+UqaLp7hK9Qb6/xDZUZ7XtzzPlUE+Gq7hJk1NTdhsNrRaLTNnzhxRmbpwZCMKRsnlcmw22xGv19jYKNKihUnHYrHQ3NzMokWLuOWWW6S+E2VlZTQ0NPQrORWOzGw2I5fLxVE5D3NlR1VWVorsKA/r248rPDwcpVIpNVWebGQyGWlpaezatYuIiAjpe1Wn07Fv3z4SExPd/vYCAgK44YYb+Mtf/oLdbuexxx7j6aefHpe1Go1GvvzySz744AM+/fTTYWUyDUYulxMWFoZarZZ+VCqV2+m+56lUKn766SeeeOIJ8vLyAKivr+fuu+/mgQceYPXq1dx8883MmDFj2GuRyWQEBwcTHBxMcnIybW1tUn8lmUyGt7f3sLOBTCYTDz74IOvXr3frTXXhhRfy+OOPS5PjPMFut9PU1ERNTQ0WiwWdTkdGRsaISqxtNpuUBWWxWIiMjGThwoXjst0nk8lITU1lx44dNDc3o9FoiImJIT8/n8TERLy9vbn++utZv349zc3NfPPNN/z444+cc845IrAvTBuuQHBUVBS1tbVERUWJneUhMhqNeHl5oVQqB8yMMpvNACMKUmm1WsrLy7FarSgUin6Xi+woz6qvr8dkMo1qO/nQSXgajYaUlBRUKtW0nCw8mYwoGBUXF0dhYSE2m23QXgLd3d0UFRWRnJw8qgUKgqc1NjYSEhJCZ2cnb7zxhttleXl5HH/88eLLfJhcX+TidfM8kR3leTabjbq6Oum0VqvF19eXxsbGSbthGBQURFRUFMXFxcyZMweZTEZISAg+Pj7o9XoiIyPdrr9mzRrWr1+P0Wjk1Vdf5d5770Wr1Y7J2jo6Ovjss8/44IMP+OKLLzAajYNeNzAwcNAg0mCnQ0JChr0xeNFFF3HhhReyZcsWnnzyST766CMcDgc9PT28/PLLvPzyy5x88snccsstnHLKKSP67JLL5dIabTYbRqORoKCgYd3X119/zXXXXeeWqZecnMzzzz/Pb37zm2GvaTBms5m6ujrq6urw8fEhJiaGiIiIEW1kd3Z2UldXR2NjI4GBgcTFxUnTKMeTUqkkJSWF4uJiQkJCCAoKIiAggIaGBmJiYqTsqHXr1uF0Onn//ffJyMhg/vz5YudCmBaMRiN2u13q0dve3u6RzJCjgaukVyaTYbFY3ILobW1tZGVl0dbWxo8//ihNih8qX19fAgMDaW5uJioqqt/lAQEBqNVqkR3lAT09PZSVlTFz5sxh9zcUk/AmhxG90ieccALPP/88zz//PDfccMOA13n++efp7Owc8caUxWLhqaee4uOPP6ajo4P09HRuvvlmjjnmmCPeduvWrTz//PMUFxdjt9tJSEjg4osv5re//e2I1iJMH06nk/r6euLj43n22Wf7TbQoLCzEaDSOSXPY6UxM0hs7IjvK81z9f1w0Gg0+Pj6TtkzPJTExkZycHBobG4mMjEQmk6HT6aivr+8XjFKr1Vx99dU89dRTmEwmnn76ae677z6PraWlpYWPP/6Y999/n2+//Vaa9NZXSEgIZ555Jueeey6LFy+WppeOF5lMxvLly1m+fDkVFRU8/fTTvPLKK3R2dgK9gaCvv/6azMxMbrrpJlavXj3irB5vb2+Cg4OHfP2GhgZuvfVWNm3aJJ2nUChYt24dd911l8caonZ2dlJTU4NerycsLGxEE+xcfTNcJZY9PT1EREQwb968CQ+QR0RE0NTURFlZGRkZGcTExFBeXk50dDQymYzrr7+eRx99lObmZj799FNWr16NSqUSB0qFaaG9vZ2QkBApI7O2tlYEo4bINUkPeoP1fV+3r776ipqaGgAeeugh3nvvvWHfv6tUb6BgFPT2VRbZUaPjKs8LDw9HpVIN6TZ2u53m5maamppobW0lKCiIiIgIZs6cKYYwTZARHRq67LLLiIiI4LnnnuP666/n008/BXo3Tr/++mtuueUWXn31VaKjo1m1atWIFnbHHXfw+uuvc+aZZ/LnP/8ZLy8vrrnmGnJzcw97u++++44rrrgCq9XKDTfcwC233IKvry/r1q3j9ddfH9FahOmjo6NDOgLy7LPP9ru8qKiI7u7uCVjZ1CYm6Y2t2NhYWltb6erqmuilTAsmk8lt9LJKpcLLy2vS9z3z9vYmNTWVsrIyqZwrIiKCzs7OAT+3br31Vuno3jPPPDPq9099fT3PPfccJ554IhEREVx55ZV8/vnnboEojUbDVVddxRdffEFTUxNvvvkmv/3tb4mKiprQz4jExEQef/xxampqeOKJJ6TeWwAHDhyQBljcdddd1NbWjtk6HA4HL7zwAhkZGW6BqOOOO47du3dz//33jzoQ5XQ60ev17Nq1i/z8fLy9vVmwYAGzZ88mLCxsSIEom82GXq+nsLCQrVu3snfvXsxmM/Hx8SxdupS0tLQJD0RBb8AxPT0dvV5PS0sLGo0Gh8MhNX8PDAzkT3/6E9D72r/33nvU1tZiMBgmctmC4BGuYBT0lm23tLRgMpkmeFVTQ9/hH4eW6VVUVEi/f/LJJ27bC0Ol1Wppa2tzK73uq292lDAyDQ0NGI3GIR1c6Onp4cCBA2zdupWqqiqCg4NZtGgR8+bNIzo6WuzDTKARBaOCg4N55ZVXiImJ4fvvv+f2229HJpPx008/cdNNN/HFF18QFRXFCy+8MKKjjHv27GHz5s3ceuutrFu3jvPPP5833ngDnU7H3//+98Pe9p///CdarZaNGzdy8cUXc9FFF/H6668TFxfHBx98MJKnK0wjDQ0NhIeH8+abb9LS0gL09uVwHREpKCiQjpoLQycyo8aWUqkkKiqKysrKiV7KtGAymWhoaACQSnscDgc+Pj6Tvu+ZRqMhKChIKutSKBSEh4e7lR26xMXFcdFFFwG9ZQcvv/zysB+vsrKSxx9/nGOOOYbo6Gj++Mc/8v3337s1H4+OjuaGG27ghx9+oL6+npdffplTTz11Um7cBQcHc/PNN1NSUsIHH3zAcccdJ13W2trKww8/LGVTH+ng13Dt3buXY445huuuu04KhqhUKl577TX+85//kJmZOar7t9lsHDx4kO3bt1NaWoparWbJkiWkpqYOaVvMZDJRU1PD7t27+fnnn6moqEChUDBz5kyOOeYYMjMzCQ8Pn3TlC33L9RwOB9HR0VJWA8Af//hH1Go1AP/+979xOp0cOHBgXBroC8JYcfWLck2A9vX1RaPRDPhdIPTnyowaaBp0320tq9U6oom0fn5+0lCLwSQkJNDQ0NCvSkM4MrPZTGlpKWlpaUP6TnL18Jo7dy4LFy4kPj7eYxnIwuiMuGg+JSWFzz77jP/7v//j+OOPJzk5mcTERJYtW8Ydd9zB5s2b+034Gaovv/wSLy8vzj//fOk8pVLJeeedx65du6ivrx/0tl1dXVIfDRdvb2/CwsJEGuRRzmaz0dTURHh4OI8//rh0/tq1a1m0aBHQm91XXFw8UUucsjw5FlcYWFxcnMiO8pCuri7peyQ2NhalUonFYpkS3xGuZuZNTU1SQCMqKoqGhoYBd65vv/126ffHH398wHK6QxUWFvLggw8yf/58EhMTue2229i6das07AEgKSmJtWvX8ssvv1BdXc0//vEPfvWrX026QMVgvLy8OOecc/jvf/9Lbm4uq1evlhrN2mw2/vnPf7Jw4UKWL1/O+++/P6rARXd3N7fffjtz585l27Zt0vmXXnophYWFXH755aPqt2cymSgtLeWXX35Br9eTlJTEkiVLiIuLG7B5rotrZ7a8vJycnBxycnJoaWlBrVazaNEiFi1aRHJy8rDL+iZCZGQk/v7+lJWVERUVhcFgkLIFD82OeuWVV1AqlZSVlU3kkgVhVEwmEzabza08OCYmhvr6ehFoPYK+k/RsNlu/rOi+mVEAr776qtv331C5SvUGI7KjRsZVnqfVaqUDDYdjNpvR6/WkpKQQGBg46b/Pjjaj6uCoVCq54IILeOGFF/jss8/4/PPPefXVV7nssstGFW08cOAACQkJ/VLAs7KypMsHs2jRIkpKSnjyySepqqqiurqaZ599ln379nHVVVeNeE3C1KfX6/Hz8+Pbb7+VNkJPOukksrOzWbx4sXQ9Tx8NPxqIMr2xJ7KjPKempkZKnY+OjsbX13fS94vqy9fXl/j4eCkTJDg4GF9fX7c+WC4zZszgrLPOAnqf99tvv93vOk6nk/z8fO655x5mzpxJZmYmd999Nzt37ux3X/fccw+7du2itLSU9evXs2TJkinfDHr+/Pls3LiRyspK7r77breN2y1btnDeeeeRnJzME088Mezyrs2bNzNz5kweffRRaQcxPT2dH374gddff31UTeUNBgP79u0jJycHi8XCnDlzmDdvHuHh4YNubLsOyrjKFfbt24fZbCYxMZFjjjmGOXPmEBMTM+WOGLvK9Zqamuju7iY8PNyt3LJvdtTbb7+Nl5cXjY2NUjmfIEw17e3tBAcHu33+ur4LXJm/wsBMJhMymQxfX1/MZjPe3t5uWdGHbmcVFBSQk5Mz7MfRarW0trYedgK9KzvKNb1POLLGxka6urqG3Puvrq4OlUo1LpNeheGblFuQer1+wA0013kDbXC7XH/99axYsYIXXniBk08+md/85je8/PLL/OMf/+Dkk08+7ONaLBa6uroG/DncdCBhanA1+X300Uel89auXQvgFozau3fvoDXewsBEmd74ENlRntF3QzMqKgqlUjmlglHQewQcegNMrkbmg5VnrFu3Tvp9/fr1OBwOHA4H27ZtY+3ataSkpDB37lweeOABCgoK3G47b948HnzwQQ4cOMD+/fu57777yM7OnpZHFnU6Hffffz8HDx7kpZdeYsaMGdJlVVVV3HrrrcTGxnLzzTcfMaumrq6O3/3ud5xxxhlUVVUBvQHlv/71r+zevZtf/epXI16n0+mkoqKCPXv24O/vz+LFi5kxY8agDdRNJhMHDx4kPz+fn3/+maqqKpRKJbNmzWLZsmVkZmai1WqnTFbbYHx9fUlKSqKoqIjIyEgaGhqkncCgoCBuu+02oDcr4rHHHiMlJYXCwkLxfS9MSX37RbnIZDJiYmKora0dUSbP0aLvJL1DD6Y6HA7pM7uvV199ddiP4+/vj7+//2FL9UR21PD0Lc87XOavi8PhoK6uTtpmEiafSRmM6unpGTDLwrWze7jaWh8fHxISEjjllFN4/PHHefTRR5k1axZr164lPz//sI/74osvMn/+/AF/Lr744lE9J2FidXd309XVRUlJiXR0IysrS5r2uHDhQum6RUVFYmd/GJxOpwhGjRNXdtRAG0rC0NhsNrd+MpGRkVMuMwpALpeTlpZGVVUVJpOJiIgIjEbjgD3vli1bxvLly4HezOJzzz2XuLg4li5dyt///nep/1Tf6z/22GNUVFSQl5fHXXfdRUZGxrg8r8nAz8+Pq6++mn379vHVV1+xYsUK6bLOzk6eeuopUlNTOeecc/jxxx/ddvrsdjtPP/00GRkZbhOYTjjhBPbs2cO99947qs9Ki8XCnj170Ov1zJs3j6SkpH7vW6fTSXt7O2VlZVL5XWtrK1qtlsWLF7Nw4UKSkpIICQmZdkFFnU6HUqlEr9cTFBTk1tZhzZo10sSlt956i87OToKCgigpKZmo5QrCiBzaL6qv8PBwrFYrbW1t47+wKeLQSXp9P5Pr6+ulcvYTTjhBqtL517/+NaIBR0cq1QOIj4+nvr5eZEcdgdPppLi4GLVajUajGdJtGhsb8fHxGfBvRZgcRnQY7MQTTxzydWUyGd9+++2w7t/X13fAvhauP9LD7TDcd9997N69mw8//FBKXV2xYgVnnHEGDz74IO++++6gt7322mu5/PLLB7zswIEDIiA1hTU0NKDRaLjjjjuk8/70pz9JG+JarZakpCTKy8spKiqivb1djMcdIovFgtPpFGV64yQuLo7t27fT1dVFYGCgtCN86L8DnTeS6/S9rre395QK2Azk0El64eHhKJVKWlpaptxzCwkJITw8nJKSEmbPni01Mk9PT+933XXr1vHTTz8B8NFHH7ld5uXlxfHHH8+5557Lb3/7W3Q63Xgsf9KTyWScfPLJnHzyyRw4cICnnnqKjRs3YjKZcDqdfPTRR3z00UfMnTuXW265hbS0NNasWeNW6q3Vann88ce56KKLRh34MRgM7N+/n5CQEGbOnOmWyWS1WmltbaWlpYXW1lZkMhlqtZrExETCwsKmfNbTUMlkMjIyMsjNzUWn01FbW0tMTAwymUzKjvrzn/+Mw+HgoYce4sUXX2THjh1SP0lBmAp6enqwWCwDZkPK5XLpvT/UcfdHG6PRKAWZDte8fNasWSQlJfHKK6/Q2dnJu+++y2WXXTasx9JqtVRXV2Oz2Qb9HA4MDJSyo1JTU4f9fI4WTU1NdHZ2uiUQHI7T6aSmpobo6Ohpd+BlOhnR1slQxh7LZDKcTueI/vO1Wi2NjY39znftQAy2wWCxWHj//fe56qqr3GqoFQoFy5cv55///CcWi2XQnWYfH59BLxN1plOXw+GgoaEBb29vPv30U6C3xGXVqlVu11u8eDHl5eWYzWZ27tzpNvpbGJzFYkGhUEz5vjFThVKpRKfTeby3meuzerB/ofdvKSEhgdjY2Cn7xW4ymWhubpZOazSaKVmm55KUlEROTg7Nzc3odDry8/NJTk7ut9F72mmnkZ2dLWUI+/j48Jvf/IaVK1dy1llnDfko49EqMzOTF154gQcffJCXX36ZZ555RtoW2rVrF5dcckm/21x99dU88sgjo94hdG1QV1RUkJycjE6nQyaTSe/llpYWDAaDVO6RlZVFUFDQlP0bHS0/Pz8SEhKora3FbrfT0tIivb/XrFnDY489RmtrK2+99RZ33303aWlplJSUEBISIjJ8hSnB1S9qsOmvOp2Obdu2YTKZplz/t/Hg6isH/YNRfZuXJyQksHTpUl555RUAqS/ycAQEBODr60tra+thA97x8fHs3LmTuLg48Tk0ALPZTElJCRkZGUMqz4PevxOz2UxERMQYr04YjREFo7777rsBz3fVZf7nP//hzTff5Nprr2XlypXDvv+MjAy3I/8uu3fvBhh0/HF7ezs2m23AKRKuaQkOh2PY6xGmtpaWFry8vNzGmt988839PswWL17Mpk2bANixYwfnnnvuuK5zqhKT9MZfcnKyVP9+uODRUAJMw9lh7ezspKCggLa2NjIzM6dkNpzRaHTrOxgWFoZcLu83TWeqUCgUJCcnU1JSwqJFi/D396epqalfdpNMJuPTTz/ltddeIyUlhdNPP71fvxHhyNRqNXfccQe33XYb7777Lk888US/wPDMmTN54YUXOPbYY0f9eDabjcLCQjo7O8nOziY4OBij0UhVVRV6vZ7Q0FC0Wi0ZGRlTMpg6VmJiYtDr9fT09FBbWysFo4KDg7n11lu5++67sdvtPPjgg2zYsIHm5maKi4uZNWvWURvEE6YOg8Fw2M9vpVKJVqultrZ2xJPNpyun04nRaJTK9A7NMOubGZWQkCD15CsoKGDLli0UFRUNmH18OK5SvcMFo1zZUVVVVaSmporPoT6cTiclJSWoVKphHTirra1Fp9MNGrQVJocRpTJER0cP+BMbG8vixYtZt24djz76KM8//zwHDx4c9v2feuqp2O123nnnHek8i8XCBx98wJw5c4iKigJ6G4T2bSKqVqsJDg7mm2++cSvz6+7u5ocffhiwt4Iw/dXX1+Pl5cWbb74J9G6MXn311f2u17eJ+e7du0XzxyESk/TGn2sKjK+vL0qlEqVSKWV2KhQK6cfb21uaEuPl5YVcLkculyOTyaSf4QgKCmL+/PkoFApyc3On5CQqk8kk9ZHx9fUlKCgI6M0UmqobLBEREfj7+1NRUSE1Mh/o8ysmJoZ7772XCy+8UASiRkmhUHDhhReSk5PjNnHvoYceYufOnR4JRHV1dZGXl4fdbmfBggX4+PhQWFhIbm4ucrmcRYsWkZWVJU2EFP7HVa5nsVhobGx06/Vyww03SGX4b775JmVlZaSmptLZ2SmmkAlTQnt7+xF74MTExFBfX3/YSW5Ho76T9ODwmVGJiYnIZDKuuOIK6bzXXntt2I+p1WppaWkZMFmir4SEBPR6Pbm5udTX14sEiv+vqakJg8EwrBJGk8lES0vLuLUdcDqd2O12zGYz3d3ddHR0iP7DQzRmTQRWrFjBc889x0svvcSSJUuGdds5c+Zw6qmn8vjjj9PS0kJ8fDwffvghtbW1PPjgg9L11q1bR05ODkVFRUBv34srrriCJ598kvPPP5+zzz4bh8PBe++9R0NDg9sUNeHoYDabaWtr44svvpAClNdee+2AdfbZ2dkoFAqsVisHDhxwO3IiDE40Lz+6eHt7k5mZSUNDA/v37yc6OpqEhIQpU6ZpNBql8qrY2Fi8vLyw2WxTemdeJpORlpZGbm4uWVlZmEwmOjs7B52uJniOTCbjmGOO4ZhjjvHo/TY0NFBSUkJsbCyRkZFUVFTQ0NCAVqtl4cKFovRmCPz9/UlKSmL37t0cPHhQasLvyo665557sNvtPPDAA2zYsIGMjAz2799PaGioeH2FSaunpwez2XzEz/egoCD8/f1pbGwkOjp6nFY3+fWdpAeH7xmVkJAAwOrVq7njjjuw2Wy88cYbPPDAA0MuFYPeUj2lUikNkjjc9ZYsWUJjYyMHDx6kvLyc6OhodDrdUXvQ12KxDGt6nosrI3Yo23ZOpxOHw4Hdbsdms7n9HHre4a7jOggol8vx9vYmICCAOXPmjPi5Hy3GtKNlUlISW7duHdFt169fz5NPPsknn3yCwWAgPT2dF1544YhNy6677jpiYmLYuHEjzz77LBaLhfT0dP7xj39wyimnjGgtwtTV0NCAUqnkpZdeAnp3pG+66aYBr+vr68ucOXPIzc2lurqauro60UhwCMxm85TekReGTyaTERUVRXBwMAUFBbS3tzNjxowp8T5oaGjAZDIBvUeOfX19p8V72N/fn7i4OEpLS6VG5kdLMMpms2E2m+np6ZF+vL290el0w9p4nQzsdjulpaU0NzeTlpZGZ2cnOTk5qNVq5s+fLw6QDFNsbCw1NTUUFhaSnJwsvR9uuOEGHn/8cdra2njzzTe5++67SU5OJiIigqKiIubMmSPKZIRJqb29ncDAwCMOJZDJZMTExFBZWSn1mRN6q2VcfYBdQYSBglGhoaFS9ll4eDhnnXUWH3zwAY2NjXz++eecffbZQ35MmUwmleodLhgFvYkVOp2OqKgo2traOHjwINXV1YSHhxMTE+PWvuZoUFJSIpWjD5XNZqO+vp6srCygt42QXq+nra1t0KDSoYEkV1WB63fXT9+qg4Gu46pCEIZuTINRjY2NWK3WEd1WqVSybt061q1bN+h1XGVXhzrzzDM588wzR/S4wvThdDqpr6/n+++/l0bcXnjhhYc9QrR48WJyc3NxOp1s27ZNBKOGYChH6ITpKSAggHnz5lFWVkZubi7p6enD2mAYbzabjZqaGum0awz8VG1efqi4uDgaGxuRy+XU19e77XxPZTabTQoyHRp06unpwWq14uXlJZWu+vr60tbWRnV1NTqdjtjY2ClxVNlkMrF//36cTidqtZri4mJCQ0OZO3euVE4qDI9MJiMrK4vNmzdTXl4u9XoJCQnhlltu4d5775V6R7322mskJyezY8cOampqiI2NneDVC0J/BoNhyGPqtVotZWVltLW1icl6/1/fqgez2SwFH6A3OFVdXQ38LyvK5corr+SDDz4AehuZDycYBb3/F/n5+djt9iG1BJDJZKhUKlQqFd3d3dTU1LBz505CQkKIiYlBpVJN+wBjU1MT7e3tQ56e59LQ0IC/vz9+fn5UV1dTU1ODl5cX4eHhUiB3oCCSt7e3CCRNgDELRn388cfk5+czc+bMsXoIQTgs1xSFvo3L//SnPx32NosXL+bZZ58FICcnh9WrV4/pGqcDUaZ3dPPy8iItLY2wsDCKiopoa2sjJSVlUn6hHzpJLzIyEl9fX3p6eqbFNDm5XE5aWhr79u1DqVTS2NgoNbqfzPoGmwb6sdls/YJNwcHBhIeHo1Qq8fLywuFwYLVasVgsWCwW/P390el0NDY2sm3bNqKiooiNjZ20Qcfm5mYKCgqk5+Lj48OcOXNEoN8DAgMDSU9PZ/fu3aSkpEg7gjfeeCOPP/447e3tbNy4kbvvvpukpCQyMzPZvXs3ra2tqNXqIZd6CMJ4aG9vH3JTcrlcjk6no6amRgSj/r/u7m7p+95VoucK6tTW1ko9tg6dqH3KKacQHR1NbW0tn3/+OfX19VIP46EIDAxEoVDQ1tY27O2NgIAA0tPTSUxMpK6ujqKiIry9vYmJiSEiImLK9rs8HIvFQklJCampqcM6mOR0OqmsrESpVLJ9+3YCAwNJS0tDrVZP++DdVDWiYNSdd9456GXd3d1UVFRQWlqKTCYbcNyxIIyH+vp6du/eLaXcnnrqqcyePfuwt+nbxNw1Al04PDFNT4Deo35BQUEUFBSQl5fHzJkzpVT4ycJoNNLS0iKdjoiIQKlUYjAYps3OZlhYGBqNhtbWVurq6oiOjp7wDTC73Y7JZBpysEmpVBIQEEBwcLDUcL9vsMlkMmEwGKTAE/SWYLua+Pv4+GC1Wmlvb8ff3x+NRoPBYKCuro6IiAji4uImzXvT6XRSWlpKYWEhPj4+hIeHk5iYOOTMB2FoZs+eTXFxMfv27ZN6eLiyo/7v//5Pyo569dVXCQkJYeHChbS0tNDc3ExZWRn+/v6o1WppUM5E/02NhsPhwGAw0N7eTnBwMGq1eqKXJAyR2WzGZDINawCFTqejurpa6pV0NDt0kt7hmpcfmhnl5eXFZZddxoMPPojdbueNN97gjjvuGPJj9y3VG+nBLx8fHxISEoiLi6OpqYmamhrKy8vR6XRER0dPq23x0tJSQkJChpVtbzAYOHDgAJWVlWRnZ5ORkSGyiqeAEQWjPvzwwyNeJzAwkBtuuGHYaYyC4AlWqxW9Xs/rr78unTdYVpTFYqG2tpaEhARSUlIIDQ2lvb2d/fv3Y7FYpkR5x0Rx1VyL10iA3r5r2dnZVFZWkpeXR2pqKhEREZNmx81kMtHU1CSd1mg006pMzyU5ORm9Xk93d/ewSjo8rbu7m9raWhobGwGkLCZXKryfn59b7w6r1Up3dzdtbW04HA7kcrlbgMnHx0fKijr0/IEy8Ww2G62trTQ3N9PT0wP0HvmurKwkJiaGhISECe2/YTKZ+OWXX9Dr9cTFxZGenk5YWNik+XuZTry8vMjKymL37t0kJydL/+833ngjTzzxhFt2VGJiIn5+fsTExBATEyO9j1paWti7dy8ymUwKTIWFhR2xd89EczqddHV10dbWRltbGwaDAW9vbykQL4JRU4fBYBhSv6i+fHx80Gq11NbWHvWtJ3p6enA6nW6T9Ppuvw7UvLyvK664Qhqk9dprr7Fu3bphfV5rtVp2794tfb+NlFwuJzIykoiICNrb26mpqWHbtm1SX6mpHoDR6/W0trayaNGiI76+TqeT5uZmDh48SHd3NyaTiUWLFpGWljZOqxVGa0TfoA8//PCglykUCiIiIsjKyppWEVphamlqaqKwsJBdu3YBMHfuXE444YQBr1tSUiI1FQwMDGTRokV8/fXXtLW1UVhYKDXAE/qzWCzIZLJp0ZdG8Ay5XE5SUhKhoaEcOHCAtrY2UlNTJ8UOm8lkkgIj0BuMksvlOByOafV95ePjQ0pKCjt37qSmpmZcg1EOh4Pm5mZqampobm5GqVTi7e0tHZF2fV4cGkwa6MfLy2tUgRlvb2/Cw8MJDw+XskFaWlqor6+npKSEAwcOEBkZyYwZM8Z1h9zhcFBSUsLOnTsJDAzk17/+NVqtVgShxlhycjJFRUXs3r2bZcuWIZPJCA0N5eabb+Yvf/kLNpuNhx56yK20H9zfR06nU3ofVVRUUFBQQGho6KQq53M6nZhMJin41N7eDvQ2ZNZoNKSkpODv7093dze7du3C6XSK994U0d7ePqLP8+joaHbv3k1iYuKk+C6eKK7m5a5A0OEm6R1apge9g7l+/etf88MPP1BSUsKWLVtYvnz5kB8/KCgIb29v2traPPKdI5PJCAsLIywsTJoUnJ+fT2BgIDExMWg0min3t221WikuLj5ieZ7dbqe+vp6amhqcTicxMTEkJyeze/fuAQOJwuQ1ok+kc845x9PrEASPcTUu//e//y2dt3bt2gE/kJubm2lrayM0NJSWlhYCAwNZvHgxX3/9NQBbtmwRwajDOLTeXhBcVCoVCxcu5MCBA+Tl5TFjxowJP1pnMpmor68HkMbuAlLgYzqJiopCo9FQWlpKenr6mAeMzWYz1dXVlJeXYzKZ8Pb2Jjg4GK1Wi0qlIiAgAB8fHxQKxYR8XsjlcmmjPTk5GaPRSH19PaWlpWzevJmQkBBSUlKIj48nICBgTNbodDppaGggPz+ftrY2srKymDFjxqTsrzYdKRQK0tLSKCsro7q6mvj4eABuuukmnnjiCQwGA6+//jp//vOfB92ZcQWwQkNDSU5OxmQyTYpyPrPZLAWfXBOjQkJCCAsLIy4ujqCgoH5r8ff371e2JExu7e3tJCUlDft2wcHBBAQE0NDQMCX6CI6VQ0sVzWYzYWFh0unDlem5XHnllfzwww9AbyPz4QSj+pbqefoAiL+/P6mpqSQkJEjfbWVlZcTExBAZGTllgpClpaVST8iBmM1mamtrqaurw8/Pj6SkJOnAYnFxMeHh4aJaY4qZGu9MQRiGrq4uCgoK+P7774HeCVO/+93v+l3PZrNRXFwsNYKsra0lPj7erW/Ujh07xmfRU9ShKc6C0JePjw9ZWVlUV1eza9cukpKSJrSHkclkkqbpxcTESFlRkyGbwdNkMhmzZs2iqqqKioqKMUlZdzgc1NTUUFZWRkNDA15eXkRGRkrNQgfaAZ4MZDIZAQEBpKSkkJKSQldXF4WFhRw4cIC9e/cSHh5OXFwcGo2GkJCQUT8Hp9OJXq+XXqeAgADOOOMM0Zx8AsTGxnLw4EEqKirQaDQEBARI2VF//etfpeyol156aUj3N1HlfK6eaK7gU09PD0FBQYSGhpKZmUlISMgRg5xyuZzAwEA6OztFMGoKsFgsGI3Gfv2iurq6aG5uPmI2SHR0NJWVlZOij+BE6e7udnuvHy4zarDXc+XKlYSEhGAwGHj33Xf5xz/+MazPcq1Wy969e0ddqjcYhUJBXFwcMTExUvlaRUUFUVFRxMTETOrtnebmZlpaWli4cGG/92hXVxcHDx5Er9cTFhbGrFmz3L6frVYrDQ0NzJs3byKWLoyCCEYJ0059fT0fffSRdPqWW24ZcCOwrKyMwMBAIiIisFqtFBUVYTabWbRokXQdV5mfMDAxSU84EplMRnx8PKGhoRQUFNDW1kZGRsa4l3babDapXwr07pQqFAqsVuuk3jgbjcDAQFJSUti7d6/HJhxaLBaampqoqKigtrYWu92OTqdj2bJlREVFTcngdGBgIAsWLCA7O5uDBw9SUlIiNRR3ZbpoNJphBxScTqdUztXd3Y3ZbCY5OZnMzExR2jxBAgMDCQ8Px2QyUVRUxNy5c5HJZNx88808+eSTGAwGNmzYwF133TXsUo+hlPNpNBrUavWwP3PsdjsGg0EKPnV1dUmBtOTkZEJDQ0cU7AoODqazs5PIyMhh31YYXwaDgYCAgH6fHW1tbVRXVxMbG3vYDF+tVktZWZk0JfJoZDQa3Z77oduwrswo18GUgfj5+XHRRRfx3HPPYTQa+de//sU111wz5DUEBwfj5eVFe3v7mE44lMvlhIeHo9Vq6ejooKamhu3bt6PRaIiJiZl0gxhc5XkpKSnS/4nT6aS1tZWamhoMBgORkZEsWLBgwEb89fX1BAUFTWgfSGFkhvTNdbjpeUcik8l46KGHRnx7QRgOu91OQUEBn332GdDbI+Gqq67qd722tjaampqk6LuPjw/BwcG0tLSg0+lITEykoqKCwsJCMS3uMMRrIwxVSEgICxYsoKioiNzcXDIzM8e1l9Ghk/Sio6Px9fWdds3LD5WVlUVxcTElJSWkp6cP+/ZOp5OOjg5aW1upr6+noaEBi8VCWFgYCxYsICEhYcqk/x+Jt7c3iYmJxMXFUV9fT3V1tdRUvaOjg56eHsLCwqRsl8HeN06nk7a2NioqKujp6ZGOxGdmZhIbGzupdgCORtHR0RQXF2O1WqmpqSE2NpbQ0FBuuukm7rvvPmw2Gw8//DAvvvjiiB9joHK+5uZm9Ho9paWlRyznczgcdHZ2Sj2fDAYDSqWS0NBQYmNjCQsLG1Xg12azSb0xR/K5IIy/wfpFdXd3Sz3xDhfckMvl6HQ6ampqjspg1KElqQ6Hwy0Y5fo8gMGzolyuvPJKnnvuOaC3VG84wSiZTIZGo0Gv149pMKrv44WEhBASEkJPTw81NTXs2bMHf39/YmNjpRK3idY3QcDhcNDY2MjBgwexWq1ER0czY8aMQQ/iOJ1OamtrpUoXYWoZ0hbkUKbnDUYEo4Tx1NzczIcffojVagXguuuu6xclt9vtFBUVkZSU5LYzoVarpWDU4sWLqaiowGw2k5eXx7Jly8b1eUwVZrN5wvsACVOHQqFg5syZ1NXVsWfPHuLi4oiPjx+XnXNXQ1+XyMhIaZLeSMcsTwUKhYKMjAz27dtHYmLikHZgLRYLra2tUsmRyWTCZrMBkJqaSnx8/LQuMfPy8iImJgadTkdjYyNVVVVAbzadt7e3FFAICAiQMl0CAwORyWS0t7dTUVGB0WgkOjpammiYnZ09YVMNBXcajYaysjK0Wi2VlZWo1Wr8/f2l7KiOjg5ee+017rrrLqmv1Gj5+fkRGxtLbGzsoOV8KpUKs9lMe3s77e3tyOVyQkNDCQ8PJz09HV9f31F/Vra0tPDKK6/wzDPPSDveDzzwAPPmzZsUO6TC4Nrb2wcMkhiNRhQKBa2trUcMbuh0Oqqrq/uVqx0NzGYzDocDPz8/4H8DeFzfiQcPHsThcAADNy/va968eWRnZ5Ofn09OTg779u1j1qxZQ16LVqtl//79pKWljevBCV9fX1JSUkhISKChoYHy8nLKysqIjo6WejtOxMESV9+97OxsqqqqqK2tRaFQEBsbS0RExBE/m/R6vRTkE6aeIQWjDjc9TxAmk9LSUil46uPjww033NDvOhUVFSiVSnQ6ndv5arWayspK7HY7ixcv5l//+hfQ28RcBKMGJsr0hOGSyWRER0cTEhJCQUEB7e3tZGZmjvn7yGQyodfrpdORkZH4+vrS2to6rTOjADIyMigtLaWoqIjZs2f3u7xv9lNLSwtdXV34+fnhdDqxWq0EBQURHR1NVFTUUVVeJpfLiYqKIjIykqamJqqqqrDZbMTGxpKRkYHBYJB6cnh7e6NUKjEajdJUn6KiIry9vZk/f774nJxEZDIZOp2OlpYWIiMjKSoqIjs7m7CwMG666Sbuv/9+bDYb5513Hrfddhtnn322tAPrCYOV81VVVaFUKgkLCyMxMdGjO4Z79uzhH//4B//85z/p6elxu+w///kPN9xww7QOME91rgzNQ/tFubJ9YmJiaGxsPGJmiI+PD+Hh4dTW1o5JH8HJrLu7Gz8/P7dJej4+PtLf2FD6RfV15ZVXSvsYr776Kk888cSQ1+LqddTe3u7WQH28eHt7ExMTQ3R0NM3NzdTX11NVVYXT6SQoKIjg4GCCg4MJCgoa8yFFNpuNffv2oVQq2blzJyEhIWRmZhIWFjbkx62trT2qe6FNdUMKRonpecJUYDKZ2LRpE52dnQBcfPHFREVFuV2no6ODuro6FixYMOBkGaVSSVtbm1sT85ycnLFf/BQlGpgLIxUYGMj8+fMpKSkhNzeXjIyMMS0dMJlMNDU1Sae1Wi0+Pj7TvkwPerMyEhMTqaysJCYmhrCwMLfsp9bWVmlEdEhICD4+PrS1tREWFkZqaioqleqo3siTyWREREQQHh5Oc3Mz1dXVVFdXExMTQ3p6OnK5nPb2doxGIxEREbS1tbF79250Oh1JSUlH9Ws3WUVFRVFZWUlSUhItLS3U1dURHR3NzTffzFNPPUVHRwe5ublccMEFBAUF8bvf/Y5LLrmE5cuXezSD6NByPk+y2+188sknPPXUU/z3v//t97heXl7YbDZ27NhBe3u7CEZNYgaDAX9//37bWxaLBZvNhk6no6qqCpPJdMTAaXR0tDRQZLqUWA/FQJP0BmtefqTMKIALL7yQP/3pT5jNZt58800eeeSRIR906FuqNxHBqL7r0Gq1aLVaKbDZ0dFBR0cHVVVVdHV1SW1MXMGpoKAgj7xvXIH47du3YzAYmD17NrGxscPu+dTZ2UlXV9eAB9qEqUHk5ArTRnV1Ne+//750+rbbbnO73OFwUFRURHx8/IDN71yp8i0tLcydO1f6sBVNzAfmdDpFZpQwKl5eXmRkZJCSkkJBQQFlZWVSmrynmUwmGhoapNNqtRpvb28cDsdR8R6Oj49HoVBQWFhIXl4eW7dupba2Fj8/P2bOnElCQgLd3d00Njbi7+/PokWLyMrKQq1Wi2DK/+facJ83bx6ZmZm0trbyyy+/UFlZSWBgIDqdjsrKSoqLi8nMzCQ5OVm8dpOUQqEgIiKC+vp60tPTKS8vx2QyoVKpeP/994mLi5Ou29nZyWuvvcavfvUrEhMTueeeeyguLp7A1R9eW1sbf//730lKSmLlypVugajg4GBuvvlmiouL+e1vfwv0Bjp+/vnnCVqtMBSD9YsyGo34+vri4+NDSEgIra2tR7wvV0Chvr5+DFY6eR1pkp6reTkMLTNKpVJJyRotLS188sknw1qPVqtFr9fjdDqHdbux4poyGxUVRXp6OgsWLGD58uXMmDFDGnRQWFjIli1b2LFjB0VFRdTV1dHV1TXs59DW1kZeXh45OTn09PRwyimnkJmZOaLm4zU1NURERBxVgdXpRgSjhGnB6XTy9ttvSzubp59+OjNmzHC7TnV1NTKZjNjY2EHvR6PR0NLSglKpZM6cOUDvF1RHR8fYLX6KstlsR82OvDC2IiIimD9/Pm1tbezatQuTyeTxxzCZTNTW1gL/a+jpdDrx8fE57ASi6cI1Hcjf35/o6GiWLVtGZmamlCJfX19PTEwMS5cuJSUlxaNlSdONTCZDpVIxd+5cZs+eTVdXF9u2bSM3NxeDwcD8+fNF74opICYmhqamJqlpbnFxMU6nk5NOOomKigr+85//cMUVV7j1RayuruaBBx4gPT2dJUuW8Pzzzw8pADAeCgoKuPbaa4mJiWHt2rVUV1dLl6WlpUl9op544glSUlJYsWKFdPk333wzEUsWhuhwwShXgEWlUg35vRgdHU1tbe2kCYSMh4Eyo/pmmg03Mwp6S/VcXn311WGtx/X/6ZrwOxl5eXkRGhpKXFwcM2fOZOnSpSxdupSEhAQUCgVNTU3s2rWLLVu2kJ+fT1lZGXq9HrPZPOh9mkwm9u3bh1qtJiAggIULF/YrPx0qs9mMXq8nJiZmpE9RmARGFUa0WCxs27aNioqKQSOjMpmMP/7xj6N5GEE4opaWFjZt2iSdXrt2rdvl3d3dVFdXM3fu3MOm2AcHB0tTbBYvXkxeXh5Op5OtW7dy6qmnjtn6pyKz2YyXl9dRsSMvjD1/f3/mzZtHWVkZubm5pKenEx4e7pH7tlqtbpNyoqOjpcume4mei2uSUldXF15eXhw4cACDwYBWq2XOnDkEBQWJLJ4RcJVYdXZ2YjAYiIqKEp+JU0RAQADBwcHU1dWRlJTEjh07qK+vR6fTIZfLOf744zn++ON5+umn+fjjj9m4cSNff/21lL25fft2tm/fzs0338zpp5/OpZdeyooVK8a1dN1ut/P555/z1FNP8d133/W7fMWKFdx4442cfPLJ/bZ9+m7T/Pzzz9hsNpFdMAnZbDa6uroG3GHv7u6WAiwqlYqqqiocDscRS0ldTfxbWlqOisC50+kcMDOqb6C5b2bUUAcXnHDCCSQkJFBZWcnXX39NdXW1W1bl4fQt1ZtKwy2USqVU2gf/e207Ozvp6OigsrKS7u5ulEplv/5TMpmMgoICoqKisFgsBAYG9munMhx1dXWEhoYOWO0iTB0j/tb55ptvuPfee2lvbx/0Ok6nUwSjhHHx4YcfUlJSAsDChQs57rjjpMucTieFhYXExMQccfKbXC5HpVLR0tLC4sWLpdGtP//8swhGHeLQFGdBGC25XE5qaiphYWEUFhbS1tZGSkrKqHfuTSYTdrtdamAeGxuLTCbDZrMdNcEo6O2Ts23bNrq6utDpdGRmZoqebx7iKn0RppaYmBhKSkqIjY0lPT2d/fv3o1Kp3D4X/P39ueCCC7jggguor6/n7bff5o033mDv3r1A74HZDz/8kA8//BCVSsUFF1zApZdeOmBvSk9pb29nw4YNPP3002470dDbj+/yyy9nzZo1gzapNhqNmM1mZsyYQUFBAcXFxZSWlpKRkTEm6xVGzmAw4OfnN+D2lqtPHfQGV728vDAYDEfsQ+Q6OFFbW3tUBKMsFgt2u90t49dsNrs9d1dmVHh4+JCDG3K5nMsvv5z/+7//w+l08vrrr3PvvfcOeV1arZbCwkJSUlKm7MEgmUxGYGCgW2DJbrdLwamOjg5qamqwWCyYTCYcDgdhYWHU19ezcOHCET9vh8NBXV0dmZmZnnw6wgQYUZne3r17ueWWW+js7OS0006TvuyuueYaTj75ZKnm87zzzhOBKGHMWSwWXn75Zen0n/70J7cPt5qaGmw225CPdGg0Gpqbm92amG/fvt1zC54mRL8oYaxoNBoWLFhAd3c3+fn5h035HgqTyeR24CQ6OhpfX1/MZvNRFYzy9fVl8eLFLFmyhPj4eBGIEo56rp5ozc3NqFQqtFqtVK43kKioKG677Tb27NlDfn4+t956qxQMAGhtbeXZZ59l0aJFZGZm8vDDD3Pw4EGPrbewsJA//vGPxMTEcOutt7oFopKTk3nyySepra3lH//4R79AlMVioaamhry8PHJzczEajW7bOZs3b/bYOgXPGaxED9zL9Fzlw0Mt1dPpdBgMBrq7uz211EnLNUmv74GtvgdUzWYzdXV1wNBL9Fwuu+wyaZ9jw4YNw+p7GRoaisPhmHatQPqW982aNUtqCyCTyUhISKCjo4P09PRRbX81NTWhUCgmtAG84BkjCka99tpr2O12nnrqKR577DGpN88tt9zCU089xVdffcUxxxzDjz/+yIUXXujRBQvCoX744Qd27NgB9H6JrFy5UrrMZDJRWVlJenr6kLMrVCoVRqOR2NhYaQNg586dR1Vt/VCISXrCWPL19SU7O5uAgADy8vJGtbFmMploaWmRTut0OpRK5VExSe9Qfn5+U/YIrCB4mkwmk/rnQG9Ap6uri8bGxiPeds6cOTz22GPU1NTw+eefs2rVKrfPk6KiIu666y7i4+M54YQTeOONN6Rpv8PhcDj4/PPPpSa/zz33nFsA4eSTT+azzz6juLiYm266yW0qnt1up7GxkT179vDLL7/Q3NyMTqdj2bJlzJw5k8svv1y67scff4zRaBz2+oSx1d7ePmCJntVqxWKxuGXxqNXqIQejFAoF4eHhUvn6dHZov6hDB/BUV1dL2/hDaV7eV1xcHCeffDLQm131ww8/DPm2crlcKtWbzqxWK2VlZWRlZTFz5kyys7NH1YbB6XRSU1NDdHS02J6ZBkYUjNq5cycpKSmceOKJA16uUql44oknMJlMPPPMM6NaoCAcjtPp5KmnnpJO33rrrVLPA6fTSVFREREREcOqx/b29iY0NJTW1lYWLlwI9Pak8uTRzelAlOkJY00ul5Oenk5sbCy7d++mqalpRPdjMplobm6WTkdERODr63tUBqMEYbJzOBwYjUba2tqor6+noqKCmpqaMTsgFBkZSWdnJ52dnSgUCtLS0igpKeHAgQM0NDTQ09Nz2Nt7e3uzYsUKNm3aRENDA6+88kq/VgE//PADl112GZGRkaxevZpvvvkGu91+2Pvt6Ojg6aefJj09ndNPP52vv/5auszf35/rrruOgoICvvrqK04//XSpT5DT6aStrY3CwkK2bt1KVVUVISEhLF68mOzsbKKioqTtpKVLl7oddNu2bRvl5eVHXJswPlz9ogZrXu7j4+PW5yssLAyj0XjE96xLTEwMjY2NWK1WTy15Ujq0X5TVasXpdErbsCNpXt7XaBqZT7apep7mapUSHBw8qv5QfRkMBnp6eoiMjPTI/QkTa0Q9o1pbW6VJY4CUcdJ35zQoKIiFCxe6jZQVBE8rKCiQNtBUKpXbUb6GhgZMJhOzZs0a9v2q1Wqpb5Rryswvv/wy5MaERwNX80FBGEuuCZj+/v4UFBTQ3d1NQkLCsI6GmUwmt0yH8PBwfHx8RDBKECaAw+Ggp6dn0B+LxYJMJsPX11f60ev1NDY2kpmZ6fFmtQqFgsjISGpra8nIyECj0TB79mxaW1upq6ujqKgIpVJJaGgoYWFhhIaGDnogJiQkhCuvvJIrr7ySiooK3nrrLTZu3EhpaSnQG0B46623eOutt4iKimL16tWsXr3abTulpKSEp59+mg0bNtDV1eV2/4mJiaxZs4YrrriiX4DCldHV1NSEw+EgIiKC7OxsAgMDB/289Pb25uSTT+bf//433d3dUklzY2MjycnJaLVakXkwgTo6OlAqlQN+T/Ut0XPx9vYmODiY1tZWdDrdEe8/MDCQoKAg6uvrp/X2rdFodAuEmM1mFAqFFMDtW+463MwogLPOOkvab/jggw9oa2sbcvlYWFiY1GOpb1bjdFFXV0dXV5dHe+jV1NRM6mEhbW1tfP7551RVVXHxxRdP678tTxhRMCogIMDtqImraWdTUxOxsbH/u3Nvb7ej0YLgaY899pj0Xrz++uulL2az2UxZWRmZmZkjmg6jVqspKytjwYIF0nk///wz559/vmcWPg2IMj1hPKnVaubNm8fevXvp7u4mMzNzyBsiRqNR6gcBvUcivby8cDgcIhglCB5mt9sxm82HDTbJ5XJpJ9vX15eAgADUarV02sfHx23HxW63U1FRQV5eHsnJyURFRXk0SBIdHU1eXh5JSUn4+PhIUxKhNzvFYDDQ3t5OTU0NBw4cwM/Pzy04NdB3YWJiIvfccw93330327dvZ+PGjfzrX/+ira0NgPr6etavX8/69evJzs7m97//PVu2bOGLL77olyVx4okncuONN3L66af363vT1NQkHXzTaDSkpaWhUqmG/Pqcdtpp/Pvf/wbg22+/5fHHH6exsZHS0lLq6+tJSUnpF/QQxsfh+kX1naTXl6tv1FCCUdCbHVVaWioN9phuBpuk1zegPNrMKKVSyerVq3nyyScxm83885//ZM2aNUO6rVwuR61Wo9frp10wqru7m7KyMmbPno1CofDIffb09EjJApNJRUUFH3/8MZ988gk//vijtG/6yy+/8Omnn07w6ia3EQWjIiMjqa+vl04nJSUBsG3bNikYZbVa2b17N2q12gPLFIT+WlpaeOedd4DeLwLXB7/T6aSkpAS1Wj3i95+fnx/+/v7S6FIQTcwPJcr0hPEWEBDA/Pnz2b9/P7t27WLWrFlHDCZZrVZsNpvUEwZ6j0TKZDJ8fHyOOAJbEAR3drt9wCCTKwDlCjb1zWwKDAxEo9FIpxUKxbB2fL28vEhJSUGlUlFYWEhLSwvp6ekeOyASEBBASEgI9fX1/YadeHt7u21P2Gw22tvbaW9vp7q6moKCAvz9/d2CU313vGQyGUuWLGHJkiU88cQTbN68mY0bN7J582ZsNhsA+fn55Ofnuz2un58fq1ev5oYbbnDLnLLZbDQ3N9PY2CgFK2JjY9FoNCM6+NZ3UvBXX32FTCYjMjISjUZDZWUleXl5REdHEx8fP6L7F0bOYDAMWopkNBoH3MZVqVRUV1fjcDiG9P2m0WgoLS2lubnZbZt3unBtA/QN3B26/TrazCjoLdV78skngd5SvaEGo6D3AFlpaSlJSUnTJiBot9spKCggJibGo03GXRMgJ/pAosPhIDc3l08++YSPP/6Yffv2DXi9rKyscV7Z1DOib5X58+fz7rvv0tnZSVBQEMcffzxeXl488sgjWCwWoqKi+Pe//01TUxNnnnmmp9csCAA8+eSTUrPNSy+9VJpoo9frMRgMLFq0aFT3r1arMZvNJCYmUlFRwZ49e7DZbGJjjN4PYavVKoJRwrhTKBRkZWVRWlpKXl4es2bNGrC5q4vJZEKhUFBdXQ0gNc0UWVGC8D+uz3SLxSL9HHra9WOz2foFm4KCgtBqtSMONg2VSqVi4cKFFBcXs2PHDtLT0z02mj46Opri4mJiY2MPuxPv7e2NRqORHtdqtUrBqcrKSikLwxWcCgkJkYJTSqWSlStXsnLlSvR6Pe+88w4bN26UhrBAb0PkNWvWcOWVV6JSqYD/9YFqaGigubkZPz8/IiIiyMjIGPX3cEREBPPnzycvL48DBw5QV1eHTqfD29ublJQUIiMjKSkpIScnh+TkZMLDw6fNDvNkZrfb6ejoICMjY8DLjUbjgOU/gYGByOVyOjo6htQvtW8T/+kYjOru7sbX13fQSXrgnhk10pKqWbNmsWjRInJycsjPz2fnzp3MmzdvSLdVqVRYrVa6urqkaqOprry8HLlcPuLg3kDsdjv19fUjar/iCT09PXz33Xd88sknfPrpp26JOX0lJSVx9tln89vf/pbly5eP8yqnnhHtVZ900kn89NNP5OTkcOKJJxIeHs4f/vAHnnnmGR544AGg94szJCSEm2++2ZPrFQSgt1/RSy+9BPR+kd56661A70ZhSUkJqampo04J1Wg07Nmzh4ULF1JRUUFPTw/79u0jOzt7tMuf8iwWC4Ao0xMmhFwuJzU1lYCAAHbv3k1aWtqgR49NJhPe3t5SmV5cXBwOhwOn0ymCUcK0NtwAE/QGe318fKR/fXx8CAwMdDtPqVSOWbBpKBQKBTNmzKCpqYnCwkK0Wi0pKSmj7h+iVquRy+U0NzcPa9KTQqFAq9VKO/IWi0UKTpWXl2M0GgkMDHQLTnl7e6PValmzZg1r1qzhwIEDfP/998TGxnLaaafh7e2N0+mks7NT6gMFvYGjefPmeaRfY2dnJ3K5nICAAFasWEFeXh4AX3zxhVtD5sDAQLKzs2lqaqKsrIy6ujpSU1NFz8gx1tHRgY+Pz4DfU67sxIHK9GQymVSqN9ThPVFRUVRWVtLV1TXt/l8PnaQHvcGovue5MqN0Ot2otguuvPJKcnJygN7sqKEGo/qW6k2HYFRLSwsNDQ0sWLDAo9nnDQ0N+Pr6HvYApKc1NzezefNmPv74Y77++mu3SaYuMpmMxYsXc9ZZZ3H22WeTmZkpAvbDMKRg1N69e5k9e7Z0eunSpW5TPQDWrFlDWloaX375JQaDgaSkJC699NIh1ywLwnC8/vrr0sbZWWedRXp6OgClpaUEBwd75OhOUFAQcrmcOXPmSP0Utm/fLoJR9G5sH9rTQxDGk+torr+/P/v376e7u3vAFHdXQ15XD5bY2Fi8vb2xWq0iGDVOnE4ndrsdh8MhBQJdvx96+nCXDee0qwzzcD9TrUTT9dxcASWr1TpocMl1GfQGS/oGlwYKMLl+nyqviUwmIyIigpCQEAoLC8nNzSUzM3NUPVdcnyk1NTWjGjvu4+NDeHi4dB9ms1kKTpWWlmIymQgKCnILTmVmZpKZmQn0Hn2vra2lsbERs9mMRqMhMzOT0NBQj3znGo1GKioqpAyrhQsXctppp0kHkzdv3uwWjIL/vd5qtZqqqip27tyJTqcjISFBZIuPkfb2dkJCQgb8PzcajXh7ew960FWlUnHw4EGpjcqRKBQKIiIiqK2tlbanp4tD+0VB79+kK1DXd8DJaLN4Vq1axS233ILRaOSf//wnf//73/Hz8xvSbbVaLeXl5SQmJk7pbWuz2UxhYSGpqalDfu5D4XQ6qa2tJS4ubsxfn+LiYqn8buvWrTgcjn7X8fX15Te/+Q1nnXUWZ5xxhpjsNwpD+gb5/e9/T1paGueddx5nnnnmoJH2k08+mZNPPtmT6xOEfpxOJ4899ph0eu3atUDvlMfm5mYWLVrkkQ8qmUyGWq0mJSVFOu+XX37h2muvHfV9T3WiX5QwWYSFhTFv3jz27duH0WjsN7TAZDLR2toqnXYd+TSZTNOyJGGyMRqN7N27F5PJJJ0nk8mQy+XI5XK334dz2tvb+7CXO51OKTDT09NDR0eHW7AGesutjhSwcgVpxmLj1xVYGs6PK9CmUCj6rT8wMLBf0GkqBZhGwtfXlzlz5nDw4EHy8/OJjY0lPj5+xM/ZlSHiakPhCUqlkoiICKmVQE9PjxScKi4uxmw2ExQUREhICJ2dnRgMBsLCwoiPj0ej0XhsYpTZbKayspLGxkYiIiJYvHgxu3btQq/Xs2jRIimb5ttvv8VqtQ4Y6PD29iY5OZnIyEhKS0vZvn07ycnJRERETOkd6MnIYDAMGhR1ZfsM9pqrVCoOHDgwrG216Ohodu7cSVJSkseaTU8GRqNR+ttz6fu6VFVVSeePpHl5X8HBwfzud7/jjTfewGAw8MEHH3DRRRcN6baufnjd3d1TNjvN6XRSWFiISqXyeHCmra0Nm802qgMFg7Hb7Wzfvl1qQF5YWDjg9bRaLWeccQZnn302J510khjs4CFDCkZ5eXlRVFTEQw89xKOPPsqJJ57Iueeey7HHHjvW6xOEfr744guKi4sBWLJkCcuWLcNms1FUVERycrJHgyRqtZqIiAi8vb2x2Wxs27bNY/c9lYlJesJk4u/vz7x589i/fz87d+5k9uzZ0hE5k8kkZVFC7wAOpVKJ0WgUmVFjrL29nX379qHT6YiLi5OCRRO90+p0OgfNKOrq6upXvuYK/hwpaOX6nhgoiNQ3W8n145q248pwOPTHFVw69Mfb23vCX8PJRCaTERcXJ+2At7a2kpmZOWAJ05F4e3sTERFBTU2NlKnkab6+vkRGRko7az09PbS1tdHR0YFGo2HGjBke/X612WxUV1dTU1ODWq1mwYIF0msTFxdHVVUVWq2WU045hU2bNtHZ2ckvv/zCcccdN+h9BgQEkJWVRXNzM6WlpdTV1ZGWljZld6InG4fDQUdHB2lpaQNePlC2T18KhYLg4GBaW1uJiooa0mMGBgYSHBxMfX39tBpFf+hr5XQ63YJRnmhe3teVV17JG2+8AfSW6g01GOXl5YVKpUKv10/Zv6OamhpMJhMzZ84ck/vW6XQeO7hiNBr55ptvpP5Per1+wOulp6dz9tlnc9ZZZ7FkyRKPHRwQ/mdIwagff/yRjz76iA8//JCSkhK++OILvvzyS6KiojjnnHM455xziImJGeu1CgIAjzzyiPT72rVrkclkVFRU4OfnN+Qv3aFyTd2aPXs2u3btori4mI6Ojmk3fnW4LBaLyIwSJhVvb2+ysrIoKytj586dzJw5k9DQUIxGo1uTyYiICJRKJW1tbSIYNYYaGhooLi4mNTXV45/Lo9W3hO9IHA7HgEEri8WC0Wh0O+2aXjVQAMnPz4/g4GC3kjlXYGk6Zy6Np8DAQObPn095eTl5eXkkJycTFRU17MBdTEwMubm5yGQydDodQUFBYxr88/X1JSoqyuN/Jw6Hg9raWqqqqqS+T4duu0RFRVFdXU1zczMrVqxg06ZNAHz++eeHDUZB79+RVqtFpVJJpXuRkZEkJiZOq8yaidDR0YG3t/egZU5Go1Hqm9PV1UVTUxPx8fFuO8quTLfhvK9iYmIoKSkhNjZ2WgS8XQcB+gambTYbDodD2obt27zcE8GoY489ltTUVEpKSvjhhx8oKysjOTl5SLfVarWUlZURHh4+5bJuOjs7qaioIDs72+Olu0ajkfb29kGb+Q9VY2Mjn376KZ988gnffPMNPT09/a4jl8tZtmwZZ599Nmeeeea0K1udjIb0blGpVFxxxRVcccUV7Nmzh/fee48vvviCuro6nnvuOZ5//nmWLFnCeeedx0knnSQyJoQRc31JDPYe2rlzJz/99BMAKSkpnH322RgMBurr61m4cKHHvzy9vLwICwtj5syZ7Nq1C6fTSW5uLieccIJHH2eqObT5oyBMBjKZjJSUFPz9/dmzZw8JCQnYbDapeTkglb2IaXpjw+l0UlVVxcGDB5k1a5Y0DWyq6js17nCcTidOp3NSZH4dzeRyOSkpKajVagoLC2lpaSE9PX1Y26WuTMu6ujp2794tHehyZUlPdk6nk4aGBiorK6Vm764Da4eSy+XExcVRWVnJySefjEwmw+l08vnnn7sd+DscLy8vkpKSpNK9nJwc6bT4WxiZw/WLgt6d86ioKJxOJ0VFRZjNZvR6vVvfNJVKRU1NjfS5NBRqtZrS0lKam5unRRm70WhEqVS6/d1aLBa8vLyk8/pmRo22TA96t0OuuOIK7rzzTgA2bNgg9WM7Eq1WS1dXF3l5ecTHx49LfyRPsNvtFBQUEB8fPyYH62tqatBqtSOOL1gsFq6++mrefPNNqX9oX/7+/pxyyimcddZZnH766dPivT+VDPtwXFZWFvfddx9btmxh/fr1LFq0CKfTydatW7nttttYvnw5DzzwAAcOHBiL9QrTlNPppLGxkZycHPbv3z/o9f72t79Jv996663IZDKKiopITEz0aKO8vtRqNampqdLp7du3j8njTCWiTE+YzHQ6HVlZWZSUlGAwGDh48KB0mVqtljJjREaKZzkcDgoLC6mvr2fevHlTPhA1HK5eVVNhx+FoEBYWxoIFC/Dy8mLHjh00NzcP6/aBgYGkpaWxbNkyoqOjaWhoYOvWrRQVFdHR0THgDs1EczqdNDc3s2PHDqqqqkhKSmL+/PmoVKrDvi+joqKwWq14eXmxYMECoHdwUU1NzbAe39/fn9mzZ5Oeni5lSnV2do7qOR2tDAbDoP15HQ4HJpOJgIAA6urqsNlsLF68mKioKPLz86msrMTpdEoZfR0dHUN+3L5N/KeDwSbp9c3s93RmFMCll14qZam9/vrrUkn2kchkMpKSksjOzqaxsZGdO3cOOL1tsikpKUGpVI5JeafVaqWhoWFUFVgvvfQSGzdudPvcjoyM5JprruGzzz6jpaWFDz74gMsuu0wEoibAiLfElUolZ511Fm+88Qbffvst119/PVFRURgMBt566y1WrlzJypUr+ec//+nJ9QrTUFdXF/n5+ZSXlxMTE0NHR8eAkwuqqqp4//33gd7shssuu4zKykq8vLzGtExUrVa7fUGJvlGiTE+Y/EJDQ0lNTcVut0s95sLCwlAoFDidTpEV5WFWq5U9e/ZgNBqZN2/elCsxEKYfV1ZQSkoKhYWFFBUVYbPZhnUfXl5eREVFMX/+fObOnYtMJmP37t3k5eVJgYDJwGAwsGvXLoqKioiOjmbRokVDbireNztqxYoV0vlffvnlsNchk8nQaDQsXLgQtVotrck12VE4MofDcdhglMlkkjIwKyoqSE1NxcvLi7i4OObOnUtTUxO7du2ip6eHsLAwtwEeQxEZGUlnZ+e0CCQONkmv7/arKzNKLpcTGxvrdtvm5uYRBZ6joqI47bTTAKitre03gf5IgoODWbBgAWFhYeTl5VFVVTUpA+AATU1NNDc3k5GRMSYHYxoaGggKChrxQAmTycRDDz0knV63bh3bt2+ntraWF198kdNPP11sD04wjxwWjo6O5sYbb+T7779nw4YNnH766fj4+FBQUMCDDz7oiYcQpiGbzUZJSQk7d+4kODiYRYsWSWPXB/oSfOKJJ6SjC2vWrMFut1NTU0N6evqYHo1WKpVuqc/bt2+ftF8K40VM0xOmAofDQXJysjS2OTY2FrPZLIJRHmYymdi1axdeXl5kZ2eLzwZhUomIiGDBggWYTCZyc3MxGAwjup+goCC3bKn6+np++eUXioqKJmzHvbu7m71797Jnzx5UKhWLFy8mOjp62FmfUVFRmM1mjjnmGOm8zz//fMTr8vLyIiEhgYULF2KxWNi+fTt1dXVH/bbTUHR2duLl5TVoKwRXtk95eTlhYWFuGahBQUHMnz+foKAgcnNzcTgctLS0DOvxFQoFkZGR1NbWjup5TAbDyYyKjo6WMv4tFgt79uzhwIED0kGW4bryyiul31999dVh314ul0/6LKmenh6Ki4tJT08fk20qp9NJbW3tqBIOXnjhBalv6MqVK3nk/7H33vFtlXf7/3W0JWtLtiXLsrxHbGd4JIQklA1JWyhllQcoBFpov/2Wlg7GQ2mhPF0U6EPLKA1ltnyBhNmSsGcGduxM7z3lPbXn+f3h3zmVbNmWZMmWk/v9eull7XPbls65z3Vfn+vz+99j48aNxBmfQMT8P8FkKzD2RHLgIcyGyTOoqqqC3W5HRUUFcnJywOVyQVEU5HL5HFvxxMQEdu3aBWDmM/b9738fTU1NMBqNy9J1IiUlhe0OMTQ0dMpYmKPB6/XC5/ORMj1CwuNwOGC321kRWyaTwel0wuv1EjEqRkxNTeHIkSNQq9UoKSkhnWYICYlIJMK6detgMBhw/PhxdHZ2hnRgh0OgW2r9+vWgKArHjh1DTU3NsrmlnE4nGhsbUVtbC5FIhE2bNiEzMzPqTCvGWaNUKllx48MPP4Tb7V7SOMViMUpLS1FUVITe3l7U1tZicnKSnBsswNTU1IJ5UYwgMTo6itzc3DmPc7lc5OXlobi4GBMTE+jo6IhYxDAYDBgeHl7y/3+lWcwZZbVa2RJeJi/K7/ejvr4eCoUCmzdvRlJSEmpqatDR0RF2uR0A7NixA6mpqQCAt99+e95ubYvBuKSUSiVqa2vR09OTEN8fmqbR2NiI5OTkuJW2Mc40rVYb1ettNltQ9t19990Xo5ERYklMxKjR0VHs2rULO3bswH/913/h9ddfh91uR25uLu68885YbIJwimCxWHD06FF0dnYiPz8fa9eunbNqoVAo5qxcPvXUU+zKxM6dO+F0OuH3+2EymZZl3BqNJuigfzrnRrndbnA4nFUR5Eo4vbHb7UETwJycHIyNjWFgYIC4d2LA8PAwTpw4AZPJhNzcXJKXREhoKIqC0WhEWVkZRkdHcfTo0agcD4EwbqnNmzcjLS0NZrM5rm4pj8fDhoQDQGVlJfLy8mKyOJSWlgaPx4Ozzz4bwMx87cCBA0t+X2BmDlVZWYnk5GScPHkSNTU16O3tXfViRzyYnJyct0QP+E/5WGZm5oLHMbVajTPOOAMikQj79++PqFwvKSkJCoUiqBPtasPj8cDtdi/ojAqVF9Xe3g6v14uCggLweDzk5uairKwMU1NTqK6uxsjISFhiEJ/Pxw033MCO5cUXX4z6d+FwOMjJycH69esxODiYEC6p7u5ueDyekIJorOjr64PBYIh6bvHEE09geHgYAHDVVVehtLQ0lsMjxIioxSifz4cPP/wQ3/ve93D22WfjkUceQUdHB8RiMa644gq88sor+Pe//40bb7wxhsMlrFY8Hg9aWlpw9OhRKJVKbNy4EcnJySF3MIwzitnZu1wu/O///i+Amcnk97//fXR1daGgoGDZbJZJSUlBO7HTWYxiDuTkxJOQ6DgcDrZED5gRo7KysjA0NITBwcGonRGnOzRNo6enB83NzSgqKoprZh+BEGukUinKy8tZp0F/f/+SnQY8Hg9paWmoqKjA+vXrAQDHjh2LWbaUz+dDd3c3vvzySzaXraioKKaNW7hcLivWMezbty9m78/hcGAymXDmmWfCaDRibGwMhw4dQl1dHcbGxhLC7bHS0DS9YF4UMJNBJBQKw9rv8vl8lJSUQCqVor6+Hq2trWG7e9LT09Hf379qj5N2ux0CgQB8Pj/o/sAGPLPFqMHBQQwNDc1x+UqlUqxfvx5ZWVloaWkJu3TvpptuYq///e9/X/JnPFFcUlNTU+jp6UFRUVHc3NBMbpler4/69UzTK4qiiCsqgYnY2tDa2orXXnsNb7/9NiYmJtgvwYYNG3DFFVdg+/btpOU7gYUpyevo6IBMJkNFRcWinw+ZTAaPxwOXywWRSIR//vOf7AnlZZddBq/Xi7S0NCgUiuX4FQDM7Mi2bdvG3j7dxShSokdIdDweD7xeLwYHB9n7UlNToVAokJKSApfLhRMnTqC4uHjOZJUwP36/H62trRgbG8P69eujDhUlEFYSxmmg0WjQ2NiIsbExFBQUxMQxKZPJUFBQgJycHAwPD8NsNqO9vR2pqanQ6/URfWf8fj8GBgbQ3d0NkUiE0tLSBYWKpZKWloZ169aBoijQNI29e/fiwQcfjOk2uFwudDoddDodHA4HBgcH0dLSApqm2ftP1/MIi8UCiqLmbQDB/L0uvPDCsBcENRoNBgYGUF5ejqamJtTW1qKoqGjRz6FarQaXy8Xo6ChSUlIi/l1WGrvdHvLvGOiMYsLLgZnctNbWVhQXF4cUeSmKgk6ng1arRWdnJ2pqapCeng6TyTSvIFNQUICtW7di//79aGhoQFVVFc4444wl/V7Mvis5ORlNTU0YGRlBYWHhsjUN8Xq9aGxsRFZWVlyP//39/dDpdFHPz/7yl7+weWn/9V//haKiolgOjxBDwhKjrFYr/vWvf+G1115DfX09gBmRQa1W49JLL8WVV16J7OzsuA6UsPqwWCxoaWmBx+NBQUEB21J9MbhcLqRSKaampiAQCPDQQw+xj91www1wuVxYu3ZtPIcekvz8fOh0OgwODqK2thZer/e0LFUjnfQIqwGHwwE+n4/e3l72vuTkZPB4PHA4HFRWVqKlpQW1tbUoLS0l3d/CwOv1or6+Hm63G2VlZSR3i7DqUSqVqKysRGtrK2pqapCfnx+z/BPGLaXX62G1WmE2m3Hs2DFIJBKkpaUhJSVl3pNYmqYxMjKCzs5OUBSFvLw8aLXauDuSeTweSktLUVhYiMbGRtTX16OnpycuLduBmUyprKwsZGZmYmJiAgMDA6ipqYFMJoNOp1vwb3QqslheVGNjI5KSkiISh+RyOWiahtfrxYYNG9Dd3Y2jR48iMzMTRqNx3m1RFAWDwYC+vr5VKUbZbLY5oqbP54PX6w1Zpufz+WAymYIC4UPB4/GQl5cHnU6H1tZWDA0NIS8vb95znJtvvhn79+8HMOOOWqoYxSCXy1FeXo6uri7U1tYu+v+MBTRNo6WlBRKJJK6OaLfbjeHhYZSXl0f1+qmpKfbckcPh4Je//GUsh0eIMWGdSW/dupXtQMTlcrF161ZcccUVOOecc07Lk3HCwng8HnR0dGBoaAhGoxEZGRkRTyaYUr2amho0NjYCADZv3gyVSoX8/PwVmZwolUqsWbMGg4ODsNvtqK+vx7p165Z9HCsN6aRHWA04HA6IxeKgySYTgslY99esWYPu7m4cOXIEa9asgUajifu4/H4/PB7PnAufz5+3dDkRcDqdOHnyJIRCITZs2ECO/YRTBh6Ph6KiIgwPD6O5uRljY2PIzc2N2Wecoqg5bqn+/n60tbUhNTUVaWlpQY1YmNBpt9uNzMxM6HS6qPcLfr8fLpcLLpcLTqdzznWxWIycnJwgJ4jBYEBlZSU799q3bx9uvfXWpf0RFoGiKKjVaqjVang8HgwNDbF/o+TkZOj1esjl8oTdP8aKhfKiRkdHMTo6irS0tIgiKiiKgkqlwvj4OORyOTIzM6FWq9HY2Ijx8XEUFhbOu7Cg0+nQ2dmJ6elptqP0asFut88Jvna5XKAoinXbBDqj8vPzYTQaw35/mUyGDRs2YHBwEM3NzZDJZMjLy5vjqrryyitx2223wWKx4OWXX8af/vSnmDVe4nK5yMnJgVarRXNzM0ZHR1FYWBg3Z+HQ0BAmJiZQWVkZ1++i2WyGQqGIepHw0UcfxcTEBADg+uuvR35+fiyHR4gxYR1pnU4n0tPTcfnll+Ob3/wm2x2AQAiEpmkMDAygo6MDCoUClZWVUecZKBQK9PT04I9//CN739VXX43k5ORFVy3iBYfDQXl5OT7++GMAM6V6p6sYtZwlkgRCNDgcDkgkEnR3dwOYyX1jJtzMT4qikJmZCYlEgoaGBphMpohWFmmahs/ng9vtDikwhbow2TE8Hg98Pp+92Gw2dHR0ICMjAzqdLqHaDlssFpw8eRIajQZ5eXkJNTYCIVakpKRAoVCgqakJ1dXVSEpKmvM9DbzNXOfxeGHvMwLdUhaLBQMDAzhy5AiSkpKQmpqKsbExWCwWZGRkwGAwLLjwRtM0Ky7NJzh5PB5QFAWhUMheRCIRNBoNhEIhxsbGcPjwYWRkZCAjI4NtTnLZZZfhhRdeALA8YlQgfD4f6enpSE9Ph8ViweDgIE6ePAk+nw+9Xo/U1NRTckGMyYtigrQD8fl8aGtrg1arjep3V6vVGBgYYN+byR5qa2tDTU0N8vLyQp7b8Xg86HQ69Pf3rzoxymazzXH0Mc5+5vvKLFZxuVycddZZEQssFEVBr9ezpXuHDx+eswiflJSEb33rW9i1axesVit2796NnTt3Lv0XDEChULAuqZqamri4pBwOB1pbW7FmzZq4RnX4/X6YzWYUFBRE9fqJiQk88sgjAGb+r8QVlfiEJUY999xzMbMVEk5Npqen0dLSAq/Xi6KioiU7DORyOWpra/HZZ58BmGm5Wl5ejpycnFgMN2q2bdvGCmRVVVW45ZZbVnQ8KwEp0yOsBux2OyQSCXp6egAAJpOJdfjOXgVOSUmBWCxGXV0dbDYb0tPTwxaXaJoGRVGs2yrwIhKJIJPJ5tzP5/PnCDo0TWN4eBjd3d3o6uqC0WhEWlraipeojI6OorGxMWKhjkBYjQiFQqxduxYTExNwuVysgOx2u2Gz2djbgd9/YK64HEq0mn1dJpNBLpcjJycHQ0NDGB4ehlwux5o1a8Dj8eDxeGC324MEpkDBye12g6ZpCAQCiEQiVmxSKBRBtwUCwbzfW61Wy2blDA4OsuVG27dvZx3qH3744Yo5omUyGWQyGXJycjA6OoqBgQF0dnZCrVZDp9NBo9GcMuK41WoFTdMhXTPd3d0QCAQQi8VRlUer1Wo0NzezLlxg5kSdidBgHIF5eXlzMnoMBgNqamqQk5OzavJCvV4vXC7XHGfN7M9xR0cHAMBoNC7p883n85Gfnw+9Xo+WlhYMDQ0hNzeXdWbdfPPN2LVrF4CZUr1Yi1FAsEuqqakppi4pv9+PhoYG6PX6uDvIh4eHweVyozYePPLII2xH9p07d5IYoVVAWGIUEaII8+F2u9HR0YHh4eGglbWlIhKJsHv3bvb2FVdcgYKCghUPGv7KV74CLpcLn8932oaYkzI9wmrA4XDA7/fD6XQCmBGjfD4f/H5/yMm8TCZDWVkZGhoacPz4cfD5/DkCk1gsDikscbncJYs0FEUhNTUVKSkpGBsbQ3d3N3p6emAwGJCenr4iZXF9fX3o7OxEYWFhzHJ0CIREhykZWwyapoPKbgNFKua23W6f8xjjjmRcSIH7EovFgiNHjsDpdIKmafD5/CBHk1QqZV1NIpEIAoFgyXMuuVyOsrIyDAwMoLGxEQqFArm5udi8eTPee+892Gw27N+/H+edd96StrMUOBwOUlJSkJKSAqfTicHBQbS3t6OlpYUNhl/tuX/z5UXZ7Xb09fWhrKwMLS0tUZ2kC4VCJCUlYWJiYk7+k1arhVwuR1NTE2pqalBYWAiVSsU+LpFIoFQqYTabQ7q2EhG73c5+pwIJnL/29fWxokVWVlZMtsvMIwYGBtDU1MR+lzZu3Iji4mLU19fjwIEDaGpqQmFhYUy2ORuFQoGKioqYuqS6urpA03TchR2aptHf34/09PSoxjs2NsZ2X+fz+bjnnntiPEJCPEjY0Ae3241HH30Ub731Fqanp1FQUIAf//jH2LJlS1iv37t3L55//nk0NzeDx+MhNzcXP/rRj7B58+Y4j/z0gKZpmM1mdHZ2QqlUYuPGjTENs+3o6MAnn3wCAFCpVPjWt76VECdDcrkcubm5aG5uRkNDw6qso18KNE3D7XavmtUxwumLw+FgJ5oA2JIXj8czbyYHk4e0klAUBa1WC41Gg4mJCfT09KC3t5cVpZbju0fTNNra2jA8PIx169adVvs4AiFcKIoCl8sFl8uNaP7DhEnPFrGYpiiBJXXL5YykKAppaWlITk5GR0cHDh8+jK1bt+K9994DMDOnXkkxKhCRSITMzEyYTCZMTk6yTWWSkpKg1+uRkpKyKjPtQuVFMYHRaWlpSEpKgs1mi1p002g0GB8fDxlGLhAIUFpaCrPZjLq6OqSlpSErK4sVOg0GA5qbm2O24BxvFuuk5/F42HMMADEV2UJ9lzIyMrBz50787Gc/AwA888wzMe9SGUgsXVITExPo7+9HWVlZ3P/309PTcDgc0Ol0Ub3+oYcegtVqBTDjRlst4unpTsLuUe666y4899xz+PrXv4577rkHXC4Xt9xyC2pqahZ97V/+8hf85Cc/gU6nw1133YUf//jHyM/Px9DQ0DKM/NRnamoKtbW16Ovrw5o1a1BSUhLzrkp/+tOf4Pf7AQCXXXYZSkpKYvr+S6GyshLAzCShtrZ2hUezvDBlCcQZRUhkmBO7wH1+WloaRCIRnE7nqugCx7gz1q9fj7Vr18JqteLLL79Ea2sr6/aKBz6fD3V1dZiYmEBZWRkRogiEGMMEKEskEigUCmg0Guh0OqSnp0On00GlUkEikaxIiS6fz0dBQQHWr1+P8vJy1p2wb9++ZR/LYjDB3EVFRTjzzDOh1+sxMDCAgwcPorGxERMTE2wZZaLD5EXNzuMcHh6G3W5HZmYm3G43fD5f1FmsarUa4+Pj8/5NmO55ZWVlmJiYwJEjR2Cz2djXcrlcjIyMRLXt5SZUJz1gRowSCASor69nA66B2DmjAgn8Lo2NjWHNmjWsU+v555+Hx+OJ+TZnw7ikFAoFampq0NvbG9F3wuPxoLGxETk5OcviPOzr64NOp4tq3zc8PIy//OUvAGbEVeKKWj0k5NLBiRMn8M477+COO+7AzTffDAD4xje+ga997Wt46KGH8PLLL8/72mPHjuHxxx/HXXfdhRtvvHGZRnx64Ha70d7ejtHRUWRkZMBoNMZFJR8bG8MzzzwDYGaH8pOf/CShnDhbt27FP/7xDwAzuVHnnHPOCo9o+XC5XODxeKtiZYxw+uJwOMDn89Hb28vep9PpIBAIMDk5uSrEqEAUCgUrSHV3d6O6uhopKSnIyMiIadccl8uFkydPgsfjYcOGDSteFk0gEFYGuVyOCy+8EAUFBWhqakJjYyOam5ujDhWON0wwfFpaGmw2GwYGBtDQ0AAulwudTgedTpfQ+3273Q6fzweZTMbe5/V60d7eznZ2tFgsEIlEUYuUcrkcPp8PVqs1aDuzSUpKQllZGbq6ulBbW4vs7GwYDAYYDAb09fWtiiZWdrs9ZDmjy+XC8PAw/H4/Wy4LxNYZNZvAMtgzzzwTn332GYaHh7F3715ceumlcdsuw2yX1MjISFguKZqm0dTUBLlcDr1eH/dxOp1OjI6OYuPGjVG9/sEHH2TF01tvvRXp6emxHB4hjiTkGeW7774LLpeLq6++mr1PKBTiiiuuwNGjRzEwMDDva59//nlotVp8+9vfBk3T7AeTED00TaOvrw9VVVXw+/2orKyEyWSKmyDx5JNPwm63A5jJaEo0m+VZZ53FXj/dcqNIXhRhNTC7kx4AtnQjVID5akEqlaK4uBgVFRUAgJqaGjQ0NLC29KVgtVrZrl5r164lQhSBcJrD5XJx7rnnsrefeuopdHd3s671RCUpKYnNvMrJyYHFYkF1dXVCnw9MTk5CoVAEzas7OzuRlJTERlTMV6JXU1ODZ599Fm63e8FtcDgcqFQqjI+PLzoeDoeD7OxsrF27Fn19fThx4gRUKhXsdjump6cj/O2Wn/mcUaOjo5iYmEBxcXHQ/CAezqhAmNK9n/70p+x9jz322LJ+lxiXlFwuD8slZTabYbVaUVBQsCyNS8xmMzQaTVTOv4GBATz++OMAZsp477rrrlgPjxBHElKMamxsRGZm5pyOEmvXrmUfn49Dhw6htLQUL7zwAs444wyUlZUFOVkIkdPa2gqz2Yzi4mIUFxfH9UTO6XSyNkuKovD9738/4Q58BQUF7Gezqqpq1djAYwHppEdYDdjtdojF4qDJZnJyMtv1brU7+yQSCQoLC7Fx40bw+XwcOXIEJ0+ejHpfOT4+jqNHj0Kv16OwsHDV/30IBEJsuOCCC9jrJ0+exMjICA4fPoyxsbEVHFV4cDgcJCcno7S0FKmpqUFO2URjdl6UxWLBwMAA8vLyWCGA6RAbyMjICL7yla/gpptuwm9+85tFt8OU6oWLUqlERUUFBAIBjh49ColEgr6+vrBfvxL4fD44nc45wt309DQGBwexZs0aSCQSdHV1sY8t16L3jh07WMfOJ598gn379kX0/1gqXC4Xubm5WLduHcxmM44ePcou/gdis9nQ3t6OoqKiZVmY8vl8MJvNUbuZ/vCHP7DxBd///veRlpYWy+ER4kxCzjhHRkZChlUz9w0PD4d83dTUFFvn/Oijj+KWW27Bn/70JxQWFuKBBx5YsLwPmDnRtlqtIS+hvqynC9nZ2aioqIi6zWYkvPjii+z/97zzzsPatWsTTozicDhYv349gBk1PtEPzLGEqbcnEBIZh8MRJEYJBAJ2YrpaXVGhEIlEyMvLwxlnnAGJRILjx4/j2LFjEWWlMIG1+fn5yMzMXJYVUAKBsDrYuHEj28p9//79KC4uRnp6OhobG1FXVxfX/LpYkp6ejuHhYbhcrpUeyhxommadUcztlpYWGI3GIPEplBh16NAh9vzk2WefXXS/r1arMT09HVSithg8Hg9FRUXIz8+HxWJBY2NjQrvM7HY726WSwePx4Pjx41AoFGw4NiNG8fn8ZSlDA2bEICZCxufzYf/+/WhoaFj271KgS6q2tha9vb3w+XzsuBoaGpCenj5vs5dYMzQ0BJFINCczLRz6+/vx17/+FcDMQt2dd94Z6+ER4kxCilFOpzPkCS/jyJjvC8vskCcnJ/Gb3/wGN998M3bs2IG//e1vyM3NxZNPPrngdp966imUl5eHvFx33XVL/K1WL8uVEeT3+/Hwww+zt3/1q19BoVAEdcRKFLZu3cper66uXsGRLC+kTI+wGnA4HBCJROxk02QyseH7p5IYxSAQCJCTk4MzzjgDSqUS9fX1OHLkCEZHR+c9OaFpGh0dHejo6MDatWtXRQ4IgUBYXpRKJdu0xel04v3334fBYMDGjRvB4/FQXV29akr3VCoV+vv7V3ooc3A4HPD5fGyziIGBAXg8HmRkZAQ9L1SZ3tGjR9nrvb29i0ZHiEQiiMXioPDucElJScHmzZshFArx2WefRfUeywHTSY9ZWKFpGg0NDRAKhUhOTgaHwwFN0+js7AQwMz9YzmYBO3fuZK+/9tprqKysBI/Hw+HDh5f1u8S4pNauXYvBwUEcOHAAdXV1bGOm5XKLMVEwBoMhqsWw3/72t6zI/H//7/8lc5lVSFgB5ocPH17SRpgDWbiIRKKQtc/Mh22+kwnmJJnP5+Oiiy5i7+dwONi+fTv+8pe/wGw2z2vfu/XWW4N2EoE0Njae1oLUcvD++++jubkZANjySrfbDbvdzrY8ThQ2b97MXq+qqsLll1++gqNZPtxuN+muRUhoaJqGw+GA0+lks5RMJhNcLheSkpKWpSPMSsHn85GZmQmj0Qiz2YyWlhbw+XxkZGQgJSWFnej5fD40NTXBYrGgrKwspiHoBALh1EEsFuPMM8/Eu+++C2Dm5PnSSy+FQCBAYWEh9Ho9WltbMTg4iLy8vGVx0EeL0WhEXV0dMjIyEmo+OTk5CblcDg6HA7fbjY6ODhQVFQUJJB6PBx6PZ86++tixY0G3d+/ejTPOOGPB7TGleqEqUBZDKBRi8+bNqKqqwsmTJ5GSkoKcnJyEyhicnRfV0dEBl8vFHhcBYGJiAhaLBcDyiS4M2dnZOPfcc/Hxxx+jtbUVVVVVOOuss9jvUn9/P5KSkiASieZcBAJBzN3LCoUClZWVbGleR0cHtFot6urqoNVqodVq41oRMTExAY/HE5WI1NPTg127dgGYydT8+c9/HuvhEZaBsPbG119/fdQffoqi0NDQENFrkpOTg1pyMzAtRVNSUkK+TqlUQigUQi6Xz1G5GZvx9PT0vGKUQCCY9wtHJuvxh9mhAMAPf/hDADP/E7FYjOnp6YSa5GzatIm9fjqFmJMyPUKi4/V64fV6g8q509PTQdM0fD7fKemMmg2Xy4XRaITBYMDAwAA6OzvR1dWFjIwMqNVq1NfXA5gR/cn3mUAgzAdFUTj77LPB5XLh8/nw6aefBjl0FAoFysvLYTab0dDQAKVSidzc3ITczyoUCkgkEgwMDMBoNK70cFgC86I6OjqgVCrZcxYGu90OgUAwR0QLdEYBM2LUQw89tOA5m0ajQVNTE2iajurcTq1WIzk5GcnJyZiensbhw4eRm5vL5jKuNHa7nf17Dg8PY2BgAGVlZRgfH2dNC4wrCoh/eHkobr75Znz88ccAgL///e8466yz2O/S5OQknE4nnE4nbDYbxsbG4HQ64Xa7weFwQopUzIXP50f9P2A6Np5zzjmQy+UYHR3F4OAgWltboVAooNVqkZycHPPqiP7+fqSlpUVVgfOb3/wGHo8HAHDbbbdBq9XGdGyE5SEsMSqUs8nj8bCKvEwmg8FgADCTPzE9PQ2KorBu3bqo1PLCwkJUVVXBarUGhZgfP34cAFBUVBTydRwOB0VFRTh58iTcbnfQJJs5MVGpVBGPhxB/hoaG8PbbbwOY+R9dc8017GNyuRxTU1MJJUalpqbCYDCgv78fNTU1CefcihekTI+Q6DgcDggEgqAsN4PBAIFAAJfLlZAnSfGCw+HAYDBAr9djeHgYPT09aG5uRnJyMoqKikhQOYFAWBSDwYD169ez2TKff/45tm/fzj5OURQMBgOSk5PR0dGBw4cPIyMjA0ajMaH2MRRFwWg0oq2tDQaDISHGRtM0pqamoNfrMTk5iZGRkZDnXEzpWSATExNBTTqA/5TqLeSOUigU8Hg8sNlscxpFhQNFUcjIyEBXVxcqKysxMjKC1tZWDA8PIy8vb8XniDabDWlpabBarWhubmYDywcGBtixrUR4eSCXXXYZlEolJicnsXv3bvz5z3+GQqEARVHznqf6/X5WpGIuFosFIyMjcDqd8Hg84HK5i4pVoaBpGk1NTVCr1axDyWg0wmg0wuVyYXR0FCMjI2hvb4dMJmOFqWg63wVit9sxMTGB/Pz8iF/b2dmJZ555BsDMeWJgp0LC6iKss+cXX3wx6LbL5cINN9yAjIwM3HHHHTj//PODHv/oo4/w4IMPAgCefvrpiAd18cUX45lnnsErr7yCm2++GcBMedDrr7+OdevWsUFzZrMZDocDOTk57Gu3b9+OY8eO4c0338RVV13Fjvdf//oXcnNzSS1pgvLcc8+xgYpXXnll0MGMUegTjYqKCvT398Nut6O+vh7r1q1b6SHFFb/fD6/Xu+ITDQJhIUJ10tPr9RAKhbBaraeVGMXA4XCg0+mQmprKuhoSYQWbQCAkPnK5HJs2bWKzZN577z2cddZZc8SR1VC6p9Vq0dHRgZGRkYQ4H2AcL1KpFMeOHYPJZAp5jJpdegb8Z4EemKkYYRbdFyvV43A4UKlUGB8fj0qMYrbX2dmJ0dFRpKamQq1Wo62tDdXV1cjJyYFer1+RY4zP52MXpOrq6mA0GlmXmcvlYn/fQDFqJZxRYrEY1157LR5//HE4HA68/PLLuPXWWxd8DYfDgUQimbdSh+kiyFwcDgempqYwNDQEp9PJLpqHEqksFgscDgeKi4vnvK9QKITBYIDBYIDH42GFqc7OTiQlJbHClEQiifh/3t/fH7Xb6oEHHmDPG2+//faE2s8QIiMqK8cTTzyB5uZm7Nu3j+1KEMh5552HNWvWYMeOHXjiiSdw++23R/T+69atw8UXX4xHHnkEY2NjMJlMeOONN9Df3x/UuvTOO+9EdXU1mzMEAN/61rewZ88e/PrXv0ZnZyfS0tLw1ltvwWw2LxpgTlgZaJrGU089xd7+3ve+F/S4QqFAR0dH1JbicPB4PBG7+M444wy89dZbAGZCzE91McrlcoGiqITKBiAQZjO7kx4wM3HmcrmnbIB5uFAUFfXJB4FAOD2RyWTYsGEDe/vYsWPo7u7GmjVrQj5/dumeSqVCTk5OQux7GXdUT09PUI7eSsHkRQ0ODoKm6Xlb29vt9jmle4Elej//+c9x9913w+v1hlWqp1arMTIyMickPVwC/47Jycng8/koKirC+Pg4WlpaMDQ0hIKCgmWPOHE4HOBwOGhvb4dUKoXJZGIfc7lc7N8wsExvPmcUIxTGKyf15ptvxuOPPw5gplRvMTFqMbhc7oK5mF6vd45YNTExwQpVxcXFi1Z4MJ0H9Xo9vF4vxsbGMDIygp6eHohEIlaYkkqli363vF4vBgcHozp3am1txQsvvABgJqLnxz/+ccTvQUgcovKovvvuu9i0aVNIIYpBr9dj06ZN2LdvX1QDe/DBB/Htb38bb7/9Nv7nf/4HXq8Xf/3rXxcNQxeJRHj++efxta99Da+//joefPBBcDgcPPXUU/jKV74S1VgI8eWjjz5iDwzl5eVYv3590OPMjjVerWSHh4dx6NChiFrdAsCWLVvY64cOHYr1sBIOJi9qpSdvBMJCMGJU4Mon00FHIBAkRGkGgUAgrBaEQiHWrFnDzvmrqqpYV/h8MKV7GzduBJfLXfZOYQuRmpoKt9udEN3gJicn2eNVfn7+vMenUGV6geHl5557Li644AIA4XXVU6vVmJqainjeG4hOp4PL5cL4+HjQ+1ZWVkImk6GmpmbZ/+c2mw0OhwMulwuFhYVB89XAmIlwyvT6+vpw8uTJJf2NFmLDhg2syHv48GGcPHkyLtth4PF4kEql0Gq1SE9PR15eHkpLS1FZWYnNmzdHLLrxeDykpqaipKQEW7ZsQVZWFpxOJ44dO4aqqiq0tbVhampq3o6+AwMDSEpKikrse+CBB+Dz+QAAP/3pT9mMMMLqJKpZ+cDAQFh1omKxGIODg9FsAkKhEHfeeSf279+PkydPYs+ePdi2bVvQc1588cUgVxSDRqPB73//e7bbw6uvvjrntYTE4S9/+Qt7/dprr50jdlAUxeZGxRqfz4f29nbQNI3JycmIXlteXs4G5Z8OYpTb7SYleoSEZ7YzisvlQqFQAJi/EyuBQCAQ5kcul7MLuk6nE93d3XPyikLBlO6tXbsWIyMjOHz4MIaHh2Gz2eD1euc9UY0nXC4XBoMBvb29y77t2UxNTWFychJarXbeE2qm/Gq2y4hxRvF4PKxZswZXXnkl+9ju3bsX3K5YLIZIJIp43hsIl8tFeno6enp65tyfm5uL9evXY3h4GLW1tZieno56O5FgNpths9lQUlIS5PKhaTpIjGIWwEUi0bzGCqvVCp/PF9fPCRNFA8y4o1YrXC4XycnJWLNmDbZs2YK8vDx4vV6cPHkShw4dQktLCyYmJtjvO03T6O/vn9cJuBBNTU345z//CWBG/Lztttti+rsQlp+oxCi5XI7a2lq43e55n+N2u1FbW0vawBMWpK+vj3XPyeXyoODyQORyeVwOZt3d3RCJREhLSwta3QkHiUSCgoICAEBzczPbJvZUhXTSIyQ6NE3PEaPS09PZFTQiRhEIBELkyOXyoByiI0eOYGRkBA6HI6zXM6V76enp6OrqwpEjR7B//37s378f1dXVOH78OJqamtDZ2Qmz2YyxsTFYrVZ4PJ64CFYGgwFTU1MrOm9zOp2YmJiA2+0Oyr6djd1uB4/HC4pIcDqdaGxsBDDT1EkkEuHSSy9lBZjdu3cv6khSq9URz3tnYzAYYLVaQy4Wy+VylJeXIyUlBceOHUNbWxt7LI4HNpsN7e3tyM/PnyPcMZ8jgUAAmqZZZ5TJZArp9qdpGjabDdnZ2ejt7YXL5YrLmP/rv/6LFchefPHFuG1nOeFwONBoNCgsLMSWLVvYpmONjY04cOAAmpqa0NXVBZqmo+p+d//997Of7TvuuIPoDKcAUYlR27Ztw8jICO6+++6QO6Dp6WncfffdGBkZwVlnnbXkQRJOXR5//HG2LefFF188b6CkQqGIuRhlt9vR19fHBmxGc1CuqKgAMHPgqq6ujun4Eg3ijCIkOl6vl70w32eTyQSn0wm/30/EKAKBQIgCmUwW5Db54IMPkJKSEpY7iiGwdG/btm3YunUrysrKkJubi5SUFIhEIrjdboyOjqKjowPHjh3DgQMH8MUXX6CqqgrHjh1DY2MjOjo60N/fj9HRUVgsFrjd7ogFKyb7ZiXdUWNjY7DZbMjNzV1woY8p0QsUTerr69nyMabUS61WB5XqLTYnZea9SxH7eDweDAbDHHcUA4fDgclkQkVFBSwWCw4fPrxkASwUHo8HdXV1SEpKYptcBeJyucDj8cDlcjEyMsKWmM4XXu52u+HxeKDX66HVaoMypmKJSqXC5ZdfDgAYHx9nu4qfKjDdAfPz87F582aUlpaCx+NhaGgoqm6bdXV1eOWVVwDMxC/84Ac/iMewCctMVAHmP/rRj/DZZ59h7969+OSTT7Bt2zbWatff348vvvgCdrud2OcICzIxMcHuVADghhtumDePSCaTweFwwO12x8SdQ9M02traoNfrIZVKIRaL4XK5WFdFuGzatIkN0fviiy9w3nnnLXlsiUpgJxICIRGx2+0QCATo7+9n7zOZTPB6vfD7/UtuQ0wgEAinIzKZDDweD2eeeSY+//xztLW1we12Y3JyEiaTKap9K4/HA4/HmzdwGZgpUXO5XHMuNpuNve7xeEBRFIRC4bwXkUg0Z+6Ynp6O6upqOJ3OFVmoaGtrg1QqDSmeBBKqk15gXlRgzuqVV17JVhss1lVPqVTC7XbD4XAsKWg8PT0dX375JaxW67xzRIlEgvXr12NgYAD19fXQarXIzc2NSUMcmqbR2NgIkUgEsVgc8vMUaV6UzWaDWCwGl8tFVlYWDh8+jPT09LjMgW+66Sa89NJLAGZK9QLLLU8lKIqCQqGAQqFAbm5uVO9x//33s+LpnXfeSc5JThGickbpdDq8+OKLKC4uht1ux3vvvYdnnnkGzzzzDN59913YbDYUFRXhhRdeWDDknHD6QtM03nrrLXa1gQnAmw8+nw+JRBIzd9TY2BgsFgt7IGJyZSJdsQnMIjt48GBMxpaokDI9QqITqpOewWAAh8OBx+MhzigCgUCIAh6PB4lEgrPPPpu979NPP0VycvK8rphYwOVyIZFIoFKpoNPpYDKZkJ+fj9LSUlRUVGDLli3Ytm0bNm7ciMLCQqSlpUEqlcLv92NychI9PT2oq6vDwYMH0dLSEhRGLRaLodVq0dfXF7fxz4fdbkd/fz+KiooWbQpjt9vnzYsCENTp8Bvf+AYr8CxWqsflcqFUKjE2NhbNr8AiEAig0+kW/RxQFIW0tDRs3LgRPp8P1dXVGBoaWnIZZldXFxwOBzIzM8HlckM6+CMVo6xWKytqicVipKWloaOjY0njnI9zzjmHdWi9//77cf0+rWaOHz+OPXv2AJjRIb7//e+v8IgIsSLqtkI5OTnYs2cPXnrpJfz4xz/G1Vdfjauvvho/+tGP8I9//AOvv/76gjXQhNOboaEhvP766+ztSy65ZNG6X4VCEZMQc5/Ph7a2NmRnZwetykRTqldcXMwesI4ePboiYZzLBSnTIyQ6ocQovV4PoVC4YqvfBAKBcCogk8mCnDZ79+6FyWTC0NAQnE7nio2Ly+VCLBZDqVQiNTUVGRkZyMvLQ0lJCcrLy3HmmWdi06ZNsNvtc8rEMjIyMDAwwMZFLAc0TaOhoQFCoRAGg2HR5y/WSW/dunXsdZVKhfPPPx9AZKV6S8VoNGJ0dDSsDDGhUIji4mLk5+ejvb0dJ0+ejPrzMzIygr6+PpSUlMDlckEikYQU9wLnr4Eld/OV6dlstiDXjclkwvT0dFw6MHI4HOzcuRPAzGfjueeei/k2TgV+9atfsdfvvvvuJbn5CInFkntcl5WV4Xvf+x7uu+8+3Hffffj+97/P5ugQCKHw+Xyoq6vDRx99BABISkrCVVddtejqUKxCzHt7e8Hn8+e49tRqNSYnJyNqQ8vhcFBaWgoAGB0dRWtr65LHl4jM7kRCICQijBgVuPKp0+nA5XJB0zT5/BIIBEKUyOVypKWlsbEcn376KQBAq9UmvJtDLBZj3bp1MJlMqK+vR1NTE7xeL2QyGWQyGcxm87KNZWRkBGNjY0hPTw/q+BYKv98/p4zO7/fj+PHjAGacPSqVKug1gWVer7766oLvr1arMTU1teRgcbFYjOTk5LAzuCiKQnJyMiorKyEUCnH48GH09fVFtKBrs9nQ1NSEwsJCJCUlhXSQMSzFGQXMVGdkZGSw3bdjzY033sieAz377LMRnYecDtTW1uKtt94CAKSlpeGWW25Z4RERYsmSxSgCIVL6+vrw6aefsgGC559//rwHhEAUCgUsFsuSdtJOpxM9PT3Iy8ubI34lJSWBy+VGLHiVl5ez1z/++OOox5bIMJk7pEyPkMiEckYlJyeDw+FAKBRGHJZJIBAIhBlkMhksFgsuvvhiADMn+J988glMJhMGBwcTvhMYUyZWWVkJt9uN6upqjI2NwWg0or+/f1kEAK/Xi7a2NiiVSmg0mkWf73A42Dwshvb2dlitVgDBeVEMgaV6e/bsWfD3EovFEAgEmJycjOwXCYHRaMTg4OCCndZnw+fzUVBQgJKSEvT39+Po0aOw2WyLvs7r9aKurg7p6elITk4GMCNOzZc/FihGLeaM8vv9sNvtc/KI0tPT4fV6MTQ0FPbvFy5GoxEXXXQRgBmx7FQ9l4iWQFfUPffcQ1zupxhLmpnX1NTgRz/6Ec466yyUlJTgv//7v9nHDhw4gEceeQQjIyNLHiTh1MHtdqOnp4cNWASASy+9NKzWnGKxGBwOhz0IR0NbWxtSUlJCbo/p+hCpZXnTpk3s9S+//DLqsSUybrcbXC530VU8AmGloGmaXUEOFKOYCT+ZvBAIBEL0SKVS+Hw+tgwMAPbt24ekpCRoNJqEd0cxiEQilJaWIjs7G42NjRgaGgKHw8Hg4GDct93V1cW6d5RK5aLPD9VJb768KIZISvUoiopZqZ5UKoVKpYoqg0ulUqGiogJKpRK1tbXo7OycV0RjAsvFYnHQQnakziiJRAKtVjvnuXa7HRwOZ86cgcPhICsrC52dnUt2koXi5ptvZq9fffXV+POf/7ys5aOJSlVVFd555x0AM6Jd4N+JcGoQtRj1xBNP4Prrr8d7772H4eFheL3eIOuiTCbDrl278P7778dkoIRTg87OTgwPD+PIkSMAgMLCQmzdunXREj3gP50Yoi3VGx8fx+TkJLKzs+d9jlqtjrgmPDDE/NixYxGtCq0WSIkeIdHxer3wer0QiUTsZFOv17MTWiJGEQgEQvRwOBxIpVJUVFSwzpu9e/eCpmmYTCYMDAwkvDuKgaIo6HQ6VFZWwufzYXJyEo2NjXHN/bRarTCbzcjMzITD4YBCoVj0NZF00gsk0lK9WIhRwEwGV39/f1BQfLhwuVxkZ2djw4YNGBsbQ01NTcic2K6uLtjtdqxZs4Y9d6BpOmS2FvMYM4f1+/3s/CArKyvkuQfjsAr1WEpKCvh8flDH3lhxySWXoKCgAMDM+cqPfvQjlJSU4O233z6l82gX45e//CV7/d577yXnIqcgUYlRn332Gf785z8jNTUV//u//xuyi9jatWuhVqvZmnICwWq1YmhoCB9++CF7344dO5CSkhL2e8jl8qhCzP1+P1pbW5GZmblgqZlKpYLFYolIUDKZTEhNTQUAtLS0YHh4OOLxJTqkkx4h0bHb7RAIBEE2+szMTLhcLtA0TcQoAoFAWCJyuRw0TbOLcJ2dnWhpaYFUKoVarQ47MyhREAqFKCkpwfr16zE0NIQvv/wyLguKNE2jpaUF6enpcLvdSEpKCmqgMx+h3D6BYlQoZxQQWameSqWC0+kMK3x8MRQKBaRS6ZLEGplMhvLycuj1epw4cSKoC+Lo6CgbWB7o1GfKGUMd530+H3w+H4RCIYaGhljBdL54kIXK/SiKQk5ODrq7u2PuWhIIBPjkk09w/fXXs/e1tLTg0ksvxXnnnRfkiDtd2L9/P2tqycrKwo033riyAyLEhajEqBdeeAECgQC7du3CxRdfDLVaHfJ5hYWFQeUShNOb9vZ2qNVqvPzyywBmnAoXXXRRWCV6DNGGmPf19YHD4SzauUQgEEAqlUbkjqIoCmvXrgUwc0CsqqqKeHyJDumkR0h0mLyowFIRk8kEl8sFn89HxCgCgUBYIjKZDNPT09i+fTt73969ewHM7G/NZvOqc4czLqlNmzZhfHwc1dXVGBoaiqkbhclSMplMmJqaCqtEDwjdSY8RJdRqNRsmP5tISvW4XC6USmXM3FEmkwl9fX1LKmWjKApGoxEVFRVsF8T+/n40NjaygeWBMA6yUG4ml8sFLpcLLpcbdnj57LyoQFQqFZRKZdB7xQq9Xo8XXngBhw8fxllnncXe/8knn6C8vBw7d+6MiysrUQnMirr33nvDEnAJq4+oxKi6ujqsXbsWeXl5Cz5PpVKRzCgCgBnLqcViQU1NDRuUeNFFFyE7OzusEj0GuVwOt9sdURtYl8uF7u7ukKHloYimVK+srIy9/uWXX8alnnwlIWV6hEQnVHh5eno6/H4/EaMIBAIhBsjlclitVjbEHACbASqTyaBSqVadO4rBZDJBLpfDYDCgvb0ddXV1MSk79Hg8aG9vR25uLrhcLiYnJ8MSo5jSs0Bn1ODgIJtttWHDhgXntFdddRV7PZxSvbGxsUXHFA4qlQpCoTAmGVxMF8TMzEx0dnbCYDCwgeWBLJYXJRAIQFHUouHlwMLOKIbs7GwMDAzExE0WioqKCnz66ad4/fXXkZOTA2Dm8/Dcc88hPz8f999/f1hB76uZTz/9lA1yz83NDXKMEU4tohKj7HZ7yNC32Vit1tO6zpUwA03TaGtrQ2ZmJp599ln2/gsvvDDkQWUhuFwukpKSInJHtbe3Q6PRhL0SxdTPR/LZPeOMM9jrLS0tMelMkkiQMj1CosOIUYGrlWlpaeDxeHC73USMIhAIhCUiFotBURRMJhMyMjIAzER3MI1lTCYT+vv7V507CgB4PB7S0tJgs9lQWVkJPp+Pw4cPY2BgYEnnMh0dHVAoFNBqtfB4PLDZbGHlRTmdTtA0DbFYzN4XTl4Uw6WXXhp2qZ5arcbk5GRMOgpSFIWMjAz09vbG7P30ej3OPPPMqASkUOHlQGhnlMfjgcvlWlSMSkpKQmpqKjo6OsL7JaKAoihcdtllaGhowCOPPMKew9jtdtx3333Iz8/Hc889tyxdIJcbmqaDsqJ+9atfkQZKpzBRiVFarTasrhmdnZ3Q6XTRbIJwCsEcyC0WCz7//HMAQF5eHtavXx9RiR5DJCHmk5OTGBsbY1cWwkEul8Pn80W06rB582a2bXxzczNGR0fDfu1qgJTpERKdUM4ovV4PHo8HmqbJ55dAIBCWCEVRkMlksFgs2LFjB4CZ+cEnn3wCYGb+pFQqo+qolgikp6djfHwcHo8HhYWFKCoqQldXF06cOBGRI59hamoKw8PDbCXJ1NQUJBJJWIt7drudFf8YIhGjZpfqLRQhIZFIwOfzY7aQmpycDIqiYpqhyuFw5nWChdtJbzFnlM1mg1AoDKscLDMzE+Pj41Hl2EaCQCDA7bffjra2NvzoRz9iRRmz2YydO3eioqKC/f6dKnz00Uf44osvAAAFBQW45pprVnhEhHgSlRhVVlaGxsZG1NbWzvucTz75BN3d3UFt7wmnH16vF52dncjOzsYzzzzD3n/ZZZchJSUlohI9hnBDzGmaRmtrK0wmU0QnohwOJ+L6ea1Wy3bpa21tRW9v7ynlCiRleoREhqZpOBwOSCSSIDEqOTkZHA4HQqGQFYsJBAKBED1yuRwWiyVkbhTwH3fUamxLLxQKkZyczJYaajQaVFZWQiQSsblF4c7tmNDyjIwM1pkbbokeENrtExhiPV94eSCBpXq7d++e93kURcW0qx6T+dTT0xP3ufBCnfSAyJxRi+VFBSIUCmE0GtHe3r4s832NRoP//d//RX19PS699FL2/qNHj+Lcc8/FN77xDbS0tMR9HPFmtivqvvvuA5fLXcEREeJNVLPzm266CRRF4Yc//CE+/PDDOS08P//8c/ziF78Aj8cjNZ6nOT09PZBIJJDL5Xj++ecBAHw+H1u3bo2oi14gCoUCVqt10VwmZtIwX8DjQkSaG8XlclFaWgpgpnNfY2MjLBZLxNtNRGiahtvtJmV6hITF4/HA6/XOKdNjVmdJiR6BQCDEBibE/Nxzz2XnBfv27WNPyBUKBeRy+ap1RxmNRgwNDbGlhjweDwUFBSgpKUFvby+OHTsGu92+6Pv09fWBpmkYjUb2vkjEqIU66YlEIhQUFCz6HpGW6sVKjAIAnU4Hr9cbsyyq+QhVzhhIoLOfcUbJ5XKoVKo5zw0nLyoQo9EIp9O5rNUQ+fn5ePPNN/Hxxx8HuePeeustFBcX48c//nFM/4/LzXvvvYdDhw4BAIqLi4MEVcKpSVRiVHFxMe68805MTEzghz/8ISorK0FRFN5//31UVFTg1ltvxdjYGO666y7k5ubGesyEVYLT6URfXx9yc3Pxr3/9iw2z37FjB7RaLWQyWVTvy1hoFxJ73G43urq6kJubG5UjQqVSYWpqKqIg8vLycvZ6Z2dn3A/AywUzISNiFCFRcTgcEAgE4HK5rDNKq9Wyq2lEjCIQCITYIJfLYbPZIBaL2Y5f3d3daGxsZJ+TmZmJvr6+VemOkkqlUCqVc7qWqVQqVFZWQiqVoqamZkEHvMvlQldXF/Ly8tg5qNfrhdVqDSsvCpgrRlmtVrS2tgIASktLw8rQUalUuOCCCwAsXqqnUqngcDiiKkcMBYfDWRZ31EKd9ID/OKN8Ph8bMZOZmRny+ZE4o4CZhejMzEx0dHQse3bTOeecg5qaGjz77LNIS0sDMPMZe/TRR5GTk4M//elPqy67jaZp3Hvvvezt+++/n7jaTwOi/g/fcMMN+Nvf/obS0lJWlbbZbLBarcjPz8eTTz6J6667LpZjJawyOjs7kZycDJlMhl27drH3f/3rX2cdC9FAURTkcvmCuVEdHR1QKpVQq9VRbUMsFkMgEERUP79x40b2ektLyykjRjHh5eSAQEhUmLwoj8fDnkCYTCb22ETEKAKBQIgNQqEQAoEgKDcK+E9XPWDGHSWTyVZtG3qj0Yj+/v45C5JcLhd5eXlYt24dzGYzjh49GjJftK2tDVqtNsh9MzU1BbFYHFbkAXNOFejSOXHiBCvqLJYXFciVV17JXl+oVI/H40Eul8fUVaPX62G32+Oaq7RQXhTwHzFqYGCAFUdDleiF+puHg16vB0VRGBgYiOh1sYDL5eLGG29ES0sL7rvvPvbvMDk5iZ/85CcoLi7GG2+8sWpiQ/7973+jpqYGALBu3TpcdtllKzwiwnKwpLPLbdu24dVXX8XBgwexe/duvPrqq/j888/x1ltv4ZxzzonVGAmrkOnpaYyMjCArKwtdXV344IMPAMwEBubl5UVdosegUCjmPbhNT09jeHh4Sa48pn4+klK9devWsQcCZoISqxWmlYR00iMkOowY1dfXx65OmkwmuFwu+P1+IkYRCARCDFksNwr4jztqdpTHakCpVEIsFs8rMCgUClRUVEChUKC2thbd3d3ssWd8fBzj4+NzGudEUqLndrvh8/mCSs8izYtiiKRUT6PRxFSM4vF4MBgMQVmOsWYhAcnv98Pj8UAoFC4aXu5wOEDT9ILCVigoikJOTg66urpW7LOelJSEX/3qV2hpacGNN97ILva3tbXhm9/8Js4+++wFc54TgdlZUcQVdfoQk/+ySqVCaWkp1q5du2SRgbD6oWka7e3tMBqNEIlEeOaZZ1hV/pprrgGfz4+6RI+BcUbNVvuZ0PLAwMhoUalUER2UFQoFW8NvNpvhcrlOCXcU6aRHSHRCddIzmUzshJ6IUQQCgRA7mNyogoIC9sT+iy++CIpPUCqVSEpKWpXuKCaAm8l9CgWXy0VOTg7Wr1+P4eFhHDlyBNPT02htbUV2dvacRbxI86JEIlFQcHMknfQCiaRUj1mEjWXJWXp6OqampuKWo7pYeDlFUeDz+YuGlzOiVjRVG2q1GklJSWF1mo8nBoMBzz77LGpqanD22Wez93/++eeoqKjAt7/97YTNcnvzzTfZz3h5eTkuueSSlR0QYdmISox67LHH8OSTTy5YJgUAH374IR577LGoBkZYvYyOjsLhcMBoNMLr9bJd9DgcDi688MKou+gFIpPJ4PV65ziPGBtuRkbGkt4fiLx+XiAQoLi4mL3d3d29rKGG8YI4owiJTqhOegaDAcBMhgIRowgEAiF2MM4oiqJYd5TH48FHH30U9LzMzEz09vauSndUcnIyALB5p/Mhl8tRXl4OjUaDo0ePgsvlshk+DJHmRS3USY+iKKxduzbcXwNA+KV6SUlJ4HK5MS2r4/P50Ov1cRFqmNK6+dxMTIkeRVGLOqMizYsKhHFH9fX1JURFRFlZGT7++GO89dZbyMvLY+9/8cUXkZ+fj1/+8pewWq0rOMJg/H4/fvWrX7G3f/3rXy/5PHEl8Pv9sFgs6OvrQ0NDA06ePLnSQ1oVRC1G/fnPf8Y111wDs9k87/M++ugjPP7441EPjrD68Pv96OjoQGZmJng8Ht577z12VWzHjh3gcrnsAX4pcDgcyGSyoAOmx+NBZ2dn1KHls2Hq58Mt1aMoCmVlZeztpqYmTE5OrspJWCCBbXEJhESDaes82xml0+nA5/NB0zT5/BIIBEIMkclkcDqdcLvd8+ZGATPuKIlEsmrdUenp6WEFcHM4HGRlZaGiogIlJSVzTqSnp6chFArDXhiZnYPk8XhQV1cHYKabWqS5RoGlert3757X+cREVMS6G5vRaMTY2FhYXQgjweVyLdhJL3D+Gq4zKlpkMhm0Wm3QdlYSiqJwySWXoK6uDo8++iibX+ZwOPDAAw8gLy8Pf//73yNq1BQv9uzZwwo3mzZtCir/TWTcbjdGR0fR3t6Oo0ePYv/+/Th+/DjGx8chkUhgMplWeoirgqjP2IVCIdrb23H11VejoaEhlmMirGLMZjM4HA70ej0ABAWXf+tb3wKXy11yiR6DQqEIcud1dnZCJpNBo9HE5P2ByEv1Nm3axF4/cuQIxGLxqm6xCpAyPUJi4/F42GyNwEmgTqcDRVEQCoUkd4BAIBBiCI/Hg1gshsViwTnnnMPOEfbu3Rsk3FAUxWZHJcJJb6To9Xo4nc6wm9kkJSWFFJwiKdED5opRzc3NcLlcACLLi2IILNXr6+tbtFQv1vNWkUiElJQU9Pb2xvR9ma6O8x3jA539gc6oUGLUUpxRDNnZ2RgeHk4o15FAIMBtt92GtrY23H777awoOTg4iO985zsoKyub42hcTnw+H+677z72dqK6ohjXU39/PxoaGvDll1/i4MGD6OzshNfrhU6nQ3l5ObZs2YK1a9ciMzMTcrl8pYe9Koh6hr59+3bceuutGBkZwfXXX4/PP/88luMirEI8Hg+6urqQk5PDdpb497//DQBIS0tjM8VitZORy+WsM8pisWBwcBC5ubkx3Ykx9fPhdqLIyspCamoqAKCmpgYqlWrV50aRMj1CIuNwOCAQCMDlcoOcUUzHTlKiRyAQCLGHKdWTSCRsPk1fXx/q6+uDnqdSqSAWi1elO4rL5cJgMCxZRJmcnAy7RA+Y69IJDC+PJC8qkHBL9VQqFex2Oyt+xQqj0YihoaGYvu9CeVFAaGeUSqWa879gYj+W4owCZkQ3g8GA9vb2Jb1PPFCr1XjkkUfQ0NCAb37zm+z9J06cwPnnn49169bhZz/7Gd57772YO9gW4pVXXkFjYyMAYMuWLaxoutIwrqeOjo4g19PY2BgkEgny8/OxdetWVFZWoqCgAHq9PurMsdOdJS0X33777bj//vvhdDrxf/7P/8GePXtiNS7CKqS7uxtyuRxqtRoA8Nxzz7ErYTfeeCMmJydjUqLHIJfLYbPZ4PF40NraivT09Ii7YCwG4+IKN3hRKpWiqKgIwMwqy8jICMbGxlZNW9VQkDI9QiLDhJcDYMUouVzO5kQQMYpAIBBiDxNiDmDBrnoURcFkMqG3t3dVuqMMBgMmJyejdrv4fD5YLJawnVEejwcejydoPhsYXh6NMwoIv1SPaTIUa3dUUlIS1Gp1TN1RC+VFAf+Zv3q9Xna785XoCQSCmCy8ZmRkwGKxJGxVRG5uLl577TV89tlnKC8vZ+8/ceIEHn74YVx88cVQqVQ499xz8bvf/Q41NTVx+956vV7cf//97O0HHnhgRcQcmqZZ11NjYyPreuro6IDH4wnpelKr1eDxeMs+1lORJdcuXH311Xj88cfB5/Nx77334s9//nMsxkVYZTgcDpjNZraVrd/vx9NPP80+fvnll8eki14gTP19R0cHXC5XXGpzKYqKqFRPIpGgsLCQvV1fXw+KomIaBrmc+Hw++Hw+IkYREhZGjPL7/WxAqslkgtPpBE3TRIwiEAiEOMA4o2iaXjA3CphxZYhEogVzZhMVgUAAnU4XtYgyPT0NgUAQUV6UQCAIOtENdEatW7cuqnGsdKkeMCPUMI2GYsFizigmZiKwTDRUePlS86IC4fP5MJlMaG9vT+iF6LPOOgvV1dV44YUXUF5eHiQCud1ufPLJJ/jv//5vVFZWIiUlBVdeeSX+9re/oaOjI2Zj+Oc//4mWlhYAwNlnn41zzjknZu+9EIGup2PHjmH//v04duwYRkdHIRaLWdfTxo0bietpGYhJkMbZZ5+NF198EWq1Gk8++STuvvvuVbn6QYie9vZ2pKamsjvzTz75hN1hXXDBBRCLxWzZTCyRSqVobW1FTk5OUAvcWBLJQZnL5QZZqKurq6HRaFZtqZ7L5QKHwyHqPyFhYTrpBU5wMzMz4XK54Pf7iRhFIBAIcUAqlbLlTXl5eexi5P79++d0217t7qj09HSMjIxEVWLG5EWFO/+dLYzQNM06o/R6PRsFEQ2BpXqvvvrqvM/TaDQYHx+f1z0VLXK5HHK5PCYlm4t10gP+44xaLLw8FnlRgRgMBvh8PgwODsbsPeMBh8PB9ddfj5qaGgwPD+OVV17Bd7/73Tl/o/HxcezZswe33norcnJykJOTg+9973t47bXXohYtPR4Pfv3rX7O3Ax1S8cBms6GxsRFVVVWs68ntdiM1NRVlZWXYunUr1q1bR1xPK0DMUl1LSkrwyiuvIDMzE2+++SZuueWWhApwI8SPyclJTExMBK02BLqibrrpJoyOjsa0RI/BarWCpum4vDeDWq2GxWIJeyWnvLycFcaqq6uh1WoxOjoat/HFEyYviqwGEBKVUJ30MjIy4HQ6iRhFIBAIcYLD4UAqlbIxBow7yuv14sMPP5zzfI1GA4FAgIGBgWUdZyyQSCRQq9Xo6+uL+LWR5kXNDi/v6elhuzpHW6LHEFiqt2fPnnnFJqlUCg6HM0dUjAUZGRkxCbR3u93w+XzzilE0TbNiVGB4ebydUcDMdyM7OxudnZ2rRnzVarW46qqrWPdTa2srnnzySXzzm9+cU2La0dGBp556CldccQW0Wi02btyIe+65B5988knYgu0LL7zAmhbOP/98nHXWWbH+lVh8Ph/bjTI3NxdbtmzBxo0bUVhYSFxPCUBMWwylp6fj5ZdfxoYNG3DgwIGQByPCqQVN02hvb0dGRgZbaz06OorXX38dwMzObdu2bTEv0QNmDh4WiyWmB5BQCIVCSCSSsLupJCcnIzc3FwBQV1cHPp8Pl8u1rIGAsYJ00iMkMjRNs2V6gSufRqORLTElYhSBQCDEh3Bzo4D/dNbr7OxET09PzF038cZoNMJsNsPr9Yb9GqYD11I66QXmRUUbXs4QbqkeRVFxK9VTKpUQi8VLLtlcrJOe2+0GMFNmuZAziqbpmDujgJlzAaZEcLVBURRyc3NZ99Po6CiqqqrwP//zPzj77LNZQROY+fsdPnwYv/3tb3HuuedCrVZj+/btePjhh3HixImQpYputxsPPPAAezvQIRUP2traIBAIUFhYCI1GEzR+wsoT837XCoUCzz33HC666KKErpUlxIbh4WG43W6kp6ez97344ovsQeCGG27A9PR0zEv0aJpGa2srMjMzwePx4i70RJIbFRhi7vf7cezYMSiVylVZqkc66Z1+0DQNn88Hl8sFq9WKyclJjIyMYGBgIOE+wx6PBz6fb44zKi0tjd3fEDGVQCAQ4gOTGwXMRHYw4v++fftCngNotVqUlpZiaGgIhw8fxujo6Ko5V1AoFJBKpRGJKNPT0+DxeGyTjXBYqJPeUp1RAHDVVVex1xcq1YuXGEVRFOuOWoogGU4nPYFAAA6HE+SMmi1GMSX9sW6ARFEUcnJy0NPTw54TrVa4XG6Q+2liYgJ79+7F7bffjtLS0qDn2u12vPvuu/jZz36GdevWQa/X49prr8Vzzz3HCnPPPPMMO2fbvn07Nm/eHLexj4yMYGRkBEVFRcT9lKBEVRDZ1NS04OMCgQCPPvooampqVt3KByF8fD4fOjo6kJ2dzZal0TQdVKK3c+dOjI6OLnk1ZzYjIyOw2+0oKSmBzWbD1NRUXB1SarUazc3NoGl60Z2ZVCpFXl4ee7uqqgrXXXcdhoaGYDQa4zbGeEA66a1eGFHJ6/XC4/FE9JPZb/N4PPB4PPD5fPB4PExNTaGysjKiiXU8cTgcEAgE4HK5QWKUTqcDl8sFj8ebd9WUQCAQCEtDJpOhpaUFNE1DLBbjnHPOwb59+2A2m3HixImQYdtKpRIVFRUYGBhAc3MzpFIpcnNz4+5yjwVGoxEtLS1IT08P69gSaV4UsxAUL2cU8J9SPY/Hgz179uDhhx8O+buoVCo0NjbC7XbHfFFSq9Wis7MTQ0ND0Ov1Ub1HuHlRABZ0RlmtVkgkkrjMFZRKJZRKJbq7u4POC1Y7SUlJ2L59O+uGHBwcxEcffYQPPvgAH3zwQZBgOzQ0hJdeegkvvfQSAKCwsDAouiSeWVFOpxPNzc0oKCggLvkEJq7pXBUVFfF8e8IK09fXB4FAgJSUFPa+Q4cOoaGhAQCwdetWpKamwmKxxNT+6vP50N7ejuzsbPB4PMjlckxPTyMtLS1m25iNQqGAx+Nhw5IXQiAQBK0UVFVV4Uc/+hFaW1vh8XhWlT3U7XZDLpev9DAIs3A4HBgfH19UWGJWnBkxafZPkUgU8n7m5+wJdGNjI3p7e5Gfn78Sv/YcmBI9AEFiVEpKCiwWC5l8EAgEQhyRSCSgKAo2mw1SqRQ7duxgu+nt27dv3s5vFEUhLS0NycnJ6O7uRm1tLfR6PTIzMxN6jqTRaMDj8TA8PAydTrfo86empqDVasN+f7vdzh6DGRhnlEwmQ3Z2duSDnoVSqcQFF1yAvXv3sqV6oZwpAoEAMpkM4+PjYf2ukcC4o7q7u6HT6aJyrNjt9gXn/aHEKK1WO+d8JNZ5UbPJyclBTU0NDAZDzN1XiYJOp8O1116La6+9FjRNo6mpiRWmPv3006AM6UBDy9e//nVUVlbGZUw0TaOxsRHJyclxzRUmLB0SFU+ICrfbjZ6eHpSWlgYdRHbt2sVe/+53v4uRkZGYl+h1d3dDKBSyHUUUCgXa2tpi9v6h4HK5UCgUGB8fX/RgQlEU1qxZg6SkJNhsNlRXV0MoFEIqlWJsbCzmB/V4Qsr0Eo+RkRE0NzdDJpNBIBCAz+dDJBJBJpOFFJRCiUrRYjQaceTIEWRmZibE5yJQHGYmm2KxGElJSbBarUSMIhAIhDhCURRkMhm76Dg7N+quu+5a8PV8Ph+5ubnQ6/Vob29HVVUVsrKygkqtEwmKopCeno7e3l6kpqYuOEa/34+pqSk2QzQcGGGEed/x8XH09PQAANatWxcz985VV13F5nq9+uqr85ZJMaV68Zi3pqSkoLOzM6oGR+F20hMIBHC73Wx5WKjwcqvVGvNM20AkEgl0Oh06OjpQUlISt+0kChRFoaioCEVFRbjtttvg8XhQVVWFDz74AB9++CGqqqrYPM/A3KhYw5RHrl27Nm7bIMSGsMSou+++GxRF4Sc/+Qm0Wi3uvvvusDdAURR++9vfRj1AQmLS1dUFlUoVFMo4NTWFV155BcCMQPTNb34TR48ejWmJnt1uR19fHzZs2MAerOVyORwOR9xdR8xBOTAfaz4UCgVKS0vx5Zdfoq+vD2azGRqNZlWKUaRMLzHw+/3o7OyE2WxGQUFBkCNxuZBKpVAqlejr64vJCu1SsdvtkMlkoGmadUaZTCa43W7QNE3EKAKBQIgzTIi5Xq9HTk4O8vPz0dLSgoMHD7JlaouRlJSE0tJSjI+Po62tDWazGbm5uVCpVPH/BSJEp9Ohq6sL4+Pj0Gg08z7PYrGAy+VG5IZZKLw8FnlRDOGW6qnVapw8eTKsiIpI4XA4MBqN6O7uhlarjej9GQf4YmJUUlISent7WZf47BI9YEYAjPe8PDMzE1VVVZiamoqos+KpAJ/Px9atW7F161bcf//9mJqaQnV1NYxGIwoLC+OyzenpaXR3d2PDhg1sjAwhcQlLjHrjjTdAURS++93vQqvV4o033gh7A0SMOvWw2WwYHBycU4b5//7f/4PD4QAAXHvttXA6neDz+TEt0Wtra4NOpwtaxeDz+ZBIJJienl5wYrBU1Go1Ojs74ff7F12dSkpKQlFREb788ksAM6V6F1xwAXp7e8N6fSJA0zTpppcguFwuNDQ0wOv1ory8fEWt3hkZGairq0NGRgZ4vJU11zocDqSkpGB0dJTd95hMJjidTiJGEQgEwjIgl8uDyqS3b9+OlpYW+Hw+fPDBB7jyyivDeh+KoqDRaKBSqdDf34+6ujqoVCrk5OQkTE4hMCOiGAwG9Pb2LjjnnJychEKhiEhksdvtQWJFrPOiGGaX6n355Zc488wz5zyPiWmwWCxxiWzQ6/Xo7u7GxMQE1Gp12K+z2WwQiUQLCg0ulwtqtRqtra3sfbOdUT6fb9Eg9FggEAhgNBrR3t4etJh+OqJQKNiOjvHA6/WioaEBWVlZcXW8EWJHWGcSv/vd7wCAtVEytwmnJ+3t7UhLS5tzQjy7RG94eBgpKSkx2+mOjY3BYrGwneoCkcvlmJqaiqsYJZFIwOfzMTU1tehqHRPIyVBVVYVvfOMb4PF4mJycjOigu1IwmUOJUI51OjM5OYmGhgaoVCrk5+ev+CqPQqGARCLBwMDAigby0zTNZkY1Njay95tMJrhcLtYGTiAQCIT4IZPJYLPZ4PP5wOVysWPHDjz66KMAZkr1whWjGBjHTGpqKjo7O3H48GGkp6cnxAIIQ1paGnp6ejA9PT2vSDM1NRXxXM9mswXlIMXLGQUEl+rt3r07pBhFURRbFRAPMYrL5cJgMKCnpyeiv1U4AhLj7F8ovJzJ6FqORVej0Qiz2YyRkZEVcbafLrS2tkIsFodVxUJIDMLaq1922WUL3iacPoyPj2N6enqOIHTkyBEcOXIEAFBeXo7S0lIcPHgwZis5fr8fra2tyMrKClmKJ5fLMTw8HJNtzQdFUVCpVBgfH19UjEpKSgqyn1ZVVbGrfmNjY6tCjHK73eDxeCsufpyu0DSN3t5edHV1sZkaibCaRlEUjEYj2traYDAYVszl5/F44PP5IBaLg1blGWeU3+8nYhSBQCDEGaFQCD6fD6vVCoVCgbPOOgsSiYRt8R6tG1wgEKCgoABpaWloa2tDdXU1srOzF81qWg74fD70ej16e3tRXFw853GapjE1NRVRObvf74fT6Qxa6GXCy3k8HtasWbP0gQcQSalef39/yBK3WMC4zBYS9mazWF5UoLN/sU56gRld8YTL5SIrKwudnZ3QarWrokJitTE0NITx8XFUVFSs+D6CED7km0AIG5qm0d7eDpPJNEcQevrpp9nr3/3udzExMRHTEr3e3l724B8KhUKB6elptiV9vFCr1ZiYmFj0eRwOB+np6ewKV01NDXw+H7RaLUZHR9n69USG5EWtHB6PB3V1dTCbzdiwYUPChbkyE6l4C8AL4XA4IBAIwOVyg8SotLQ0+P1+cLlc8vklEAiEOMOEmE9PTwMARCIRzj33XAAzLd8D3T3RIJPJsH79euTm5qKzsxNHjhxht7WSpKenB5WIB2KxWEBRVETlXw6HAxwOhz1uOZ1O1vW7Zs2amB/PlEolLrzwQgBgS/VCoVarYbFY4PF4Yrp9Bj6fzzrNwmUxZ5TX64Xf74dQKERnZyd7/+wyPaYL5HKh0+nA4XBgNpuXbZunCw6HAy0tLSgoKCBzv1UGEaMIYTM4OAi/3w+DwRB0v81mwz//+U8AM6Vs11xzTUxL9JxOJ7q7u5GXlzfv+0kkEnA4HNhstiVvbyFUKhWsVivcbveiz5VKpWxbY6vVisbGRiiVSni93riPMxaQTnorg8ViQW1tLYAZl2Ei1rwzbZl7enpWTFgN1UkPANsmWigUkpVHAoFAWAbkcjksFgt7O7Cr3r59+5b8/hRFISUlBRs3boRGo8GxY8fQ2NgIl8u15PeOFpFIhOTkZLZTWyDR5kVJJBL2NXV1dfD5fABiX6LHEFhCuXv37pDPEQgEkEqlGB8fj8sYgBlhb3x8POy5cTid9Bhnf+D8wGQyBT2PcUYtFxRFITs7G11dXfB6vcu23VMdmqbR2NgInU4HrVa70sMhREhYZXpvvvnmkjbyjW98Y0mvJ6w8Xq8XnZ2dyMvLm3OCt3v3bnaV6uqrr0ZSUhLGxsZiVqLX3t6OlJSUBe27FEWxuVHxPHnn8/mQyWRhtbqVSqUoKipiJ2JVVVUoKSmBWq3G6Ojosq7GRAMJL19eaJrG4OAgWltbYTKZkJGRkVBuqNkweR6LdRSKF3a7nQ21DXRG6XQ6TE5OkhI9AoFAWCZkMhkGBgbY24Fi1N69e3HPPffEZDtcLheZmZnQ6XTo6OhAdXU1MjIykJ6eviKRAkajEUePHkVmZmZQxcDU1FRYXQQDmS2whBte7na7MT09HdVJeCSleuPj40hNTY14G+EgFAqRmpqKnp6ekLmwgbjdbng8nkXFKGb+yjijdDpdUBA+TdPL7owCZv6WUqkU3d3dyMnJWdZtn6p0dXXB5/MlRJdnQuSEJUbdddddSzopImLU6qe3txdisTjkwW52id74+Di7krJUxsfHMT4+jk2bNi36XLlcvizWbeagvJgYlZSUhLy8PPZ2VVUVbr75Zmg0mrjW38cKUqa3fPh8PrS2tmJsbAylpaUJ2c56Nkwpak9Pz4qIUQ6HgxWeGTGKz+dDoVBgamqKiFEEAoGwTMhkMjidTng8HvD5fGRlZaGwsBBNTU348ssvMT4+HtOsTJFIhDVr1mBqagptbW0YGBhATk4OtFrtsi7iyGQyKBSKoDkdkxcV6RxvdukZkxcFLOyMMpvN6O7uxhlnnBHxnI0p1XvnnXcW7KqnVqtRX18Pmqbj9vfNyMjA4cOHkZWVteDx2263QygULhhmz8xfnU4nK5LO/n8wotZyOqOAmcXznJwcHD16FAaDgcxVlsjk5CR6e3tRVlZGMm5XKWGJUd/4xjeWfYXe7Xbj0UcfxVtvvYXp6WkUFBTgxz/+MbZs2RLR++zcuRMHDx7Etddei1/+8pdxGu2pjcvlQm9vL9avXz/nc9DQ0IADBw4AAIqLi3HGGWegsbERycnJS/7M+P1+tLW1ISsrK6xyMYVCgcHBwSVtMxzUajXq6uoWPShLpVKYTCZwOBz4/X5UVVUBADQaDZqbmxNe7HG5XAnv3joVsNvtqK+vB4/HQ0VFRUJ/JmaTlpaG7u5uTE1NBbWjXg4cDgfbkYYRo4xGI5trQSZ4BAKBsDzw+XyIxWJYLBZWdNqxYweamprg9/vx/vvv41vf+lbMt6tQKFBWVsa6ivv7+5Gbm7uscxej0YjGxkYYjUZwuVxYrVbQNB3xGOx2e1CXtUBnFBP5EIqJiQlwOBz09fVF5bS58sor8c477wCYv6ueXC6H3++H1WqNW/WBWCyGRqNBb29v0ELubCLppBfomp4tRtlsNojF4hURMGQyGZKTk9HZ2bmoE4wwPx6PB42NjcjJySHnK6uYsMSo3//+9/EexxzuuusuvPfee/j2t7+NzMxMvPHGG7jlllvw/PPPo6KiIqz3eP/995ccnEiYOdHTarUhy+QCXVHf+c534Pf7MTY2FpP69v7+flAUNSejaj6Ylbl4izwymSysg7JAIIBcLkdRURHq6+tRV1cHm82GpKQkaDQatLa2ori4OGFLsUiZXvwZGRlBU1MT9Ho9srOzVzTjyOPxYHBwEH19fejv72cvgbc5HA6eeOIJnH/++QBmOvykpaWht7d3WcUomqbhcDggFosxOTmJqakpADOTTafTCZqmiRhFIBAIywjjTmfEqO3bt+ORRx4BMJMbFQ8xCphxmuj1eiQnJ6O7uxtHjhyBTqdDZmbmsuReqlQqCIVCDA4OwmAwsIszkcztaJpmM6OAGbf08ePHAcyEbs9X8ufz+dgO183NzcjIyAjZcXohAkv1du/eHbJUj8PhsN2k4xmFkZGRgaNHj8JkMs37v1ssLwqYEaNEIhGam5vZ+2aHly93XtRssrKyUF1djfT09ITMBk10aJpGS0sLpFIp2yyKsDoJS4xabk6cOIF33nkHd9xxB26++WYAM+6sr33ta3jooYfw8ssvL/oeLpcLv//97/Gd73wHf/7zn+M95FOa1NTUkDt+l8uFF154AcCM8HL99dezJXpL3cG7XC50dXWhtLQ07AM6j8dDUlISpqenkZycvKTtL0S4B2Wmk8r69etRX18Pv9+P2tpanHXWWSgoKEBtbS26u7sTtlwv0Z1bqxm/34/Ozk6YzWYUFhbG9fMKzISihxKXAm8PDQ2FFUb+05/+lJ0kAzPBo1VVVazQuhx4PB74fD6IxWLU1dWx95tMJrhcLvj9fiJGEQgEwjIik8mCug1v27YNSUlJsNls2LdvH/x+f1wXXHg8HnJycqDX69He3o7q6mpkZmYiLS0trtulKApGoxFdXV1IS0vD5ORkxHlRzCIKk2nU3t7OhnkvlBfF5COmpKTAbDZHFQERWKrX398/b6meRqPB4ODgnBDwWCKTyaBUKtHf3z9HPGKY7SALhcvlglwuDwovD+WMWkk3jUgkgsFgQHt7O9atW5ewC9OJyuDgIKamplBRUUH+dquchBSj3n33XXC5XFx99dXsfUKhEFdccQUeeeQRDAwMQK/XL/geu3btAk3TuPnmm4kYtUTmczy8+eabGBsbAwBcfvnl0Gg0aGhoiEmJXkdHBzQaTcQHdCYvJt4n92q1GsPDw4selKVSKdasWcPerqqqwllnnQU+n4+SkhIcPXoUMplsRTJ3FsLv98Pj8ZBuenHA5XKhoaEBXq8X5eXli67wLYTf78fw8PC8TibmdmCXo2hhyk1PnDiBtrY25ObmApjZN6ekpKC3txeFhYVL3k44OBwOCAQCcLncIBu+yWSCw+GAz+cjYhSBQCAsIzKZDN3d3WyEgVAoxHnnnYe3334bIyMjOHLkSNiVDUtBIpGgtLQU4+PjaGtrg9lsRm5ubkwzq2aTnJyMjo4OjI6OYnJyEhkZGRG9fnYnvXDzoiYmJtiMSZPJhPr6erZcMBLCKdVTq9VoaWlhc8HiRUZGBurq6mA0GkPmQoXrjBIKhWx4ORDaGbXSnddMJhOqqqpWrBHMasVut6OtrQ3FxcXkPOUUYMlilN1uR09PD1sjHYrKysqI3rOxsRGZmZlzFOu1a9eyjy8kRpnNZuzatQu//e1vyQlJHNm1axd7/Tvf+Q58Pl9MSvQmJycxOjqKjRs3RvxauVwOs9m8pO2Hg0qlQmtrK7xe74IhilKpdE6IeeBjBQUFaGxsRFlZ2ZJEiVjjdrtBURTZyceYiYkJNDQ0QK1WIz8/P6qsAqvVip/97GfYt28fzGbzktsDczgc6PV6GAwG9pKenh5022Aw4IknnsAdd9wBAHjttddw5513su+RkZGBmpoaZGVlLYubzuFwsN+XwJXP9PR0uN1ucLlc4uojEAiEZUQqlcLr9bIlUsBMbtTbb78NYKar3nKIUQxqtRoVFRUwm82oq6tDRUVF3OZZTEOPtra2qPKiou2kNzExwTp+lEolxGIxzGYzjEZjRNsPp1RPKBRCIpFgYmJiUWfSUlAoFJBIJDCbzXNEPY/HA7fbHXZm1HzOKL/fD7vdvuI5QzweDyaTCR0dHVCr1cThEwZ+vx8NDQ3Q6/VxFZgJy0fUYlRvby9+85vf4IsvvoDf75/3eRRFoaGhIaL3HhkZCelsYe4bHh5e8PW///3vUVRUhK9+9asRbdftdsPtdod8zG63R/RepzodHR346KOPAAA5OTk4++yzMTY2tuQSPZqm2db20ZxMKhQKNDc3x90OLhaLIRKJMDk5ueDKSlJSElJSUiCVSmG1WoPEKABISUmBxWJBfX19QnWCcLlcEAgE5MAYI2iaRk9PD7q7u5Gbmwu9Xh/V39btduOKK67Ae++9F9bzJRJJSGEp8L7U1NQFBVWGyy+/nBWj9uzZEyRGSSQSqNXqqANUI8Vut7PlDIHOqLS0NPj9fiQlJa1o/haBQCCcbnC5XDYqgRGjtm/fzj6+b9++ZW8kxIhEExMTGB0djdixFAl6vR7d3d2Qy+URH38C86KA8JxRLpcLNpuNrSCgKAomkwktLS0wGAwRjSHcUj2mm3Q8xSiKopCRkYGWlhakp6cH/R52ux0CgWDBOYvX64XP5wtyRjHvGfg+HA4nIQwLaWlp6O/vx+Dg4KJVPwSw/9Ps7OwVHgkhVkQlRg0PD+Pqq69md0iMI2b9+vXo7u7GxMQEKIrC+vXrwzrJmY3T6QzpyGDECafTOe9rv/zyS7z//vt49dVXI97uU089hcceeyzi152O/P3vf2evf+c73wGHw8HIyAhSUlKWJGAMDAzA7/cjPT09qteLRCLweDxYLJa4Byqr1WpMTEwsKkYBQFlZGT7//HP09fXBbDYHhe1lZ2fDYrGgqakJa9asSQgBiBGjCEvH4/GgqakJNpsNGzZsiDqo0u/3Y+fOnawQJRKJUFhYOEdsCrwdaYjqQmRnZ6OsrAxHjhxBTU0Nurq6glYajUYjTpw4AZPJFNV+PxIcDgf7dwwUo1JTUzExMZEQE0wCgUA43ZDL5bBYLKxYkZGRgeLiYtTX16Oqqgqjo6MrUhql0WgwNDQUVzGKx+MhKysrquOf3W4PcnkwziiNRjNvE5+JiQnIZLKgkjmNRgMej4fBwcGIQ53DLdVrbGxctJv0UtFoNODz+XN+j3CyKd1uNzgcDng8HuuMSktLC1rgZt4nEebbHA4HWVlZaGtrQ0pKSsIsSiciExMTMJvNKC8vJwuOpxBR/Sf/9re/YXx8HLfeeis+//xznHXWWaAoCi+//DIOHTqEXbt2IS0tDSKRCM8++2zE7y8SiUI6lFwuF/t4KLxeL37zm9/g0ksvZUv6IuHWW29FbW1tyMs//vGPiN/vVMXr9bL/Vy6XixtvvBE+nw+jo6NLymry+/3o7u5GVlZW1DsZiqKgUCgwPT0d9TjChQkxXwgOhwOJRBLUlre6ujroORRFYc2aNZienkZvb29cxhoppJNebLBYLKitrQUAlJeXRy1E0TSNn/zkJ3jppZcAzOwDP/jgAxw9ehT/+te/8Ne//hX33nsvbrrpJlx44YUoLi6GUqmM+UTriiuuYK+/9tprQY8pFApIpdJlKZNlOukB/ynT43A40Gg0oCiKiFEEAoGwAshksjnzL8YdRdM03n///ZUYFjQaDaanp+HxeOK6HcZtHAk0TQeV6Q0ODmJoaAjAjCtqvuN4YF4UA+MA6u3tDashSSBMqR4wI0aFqnpRKBTw+XxsuHq8YH6Pnp6eoN9jtoMsFEyJnt1uZytpZoeXr3QnvdkkJydDJBIlzDlAIuLxeNDY2IicnJyEijUhLJ2ozvj379+P1NRU3HbbbSEf37ZtG3bt2oXDhw/jmWeeifj9k5OTMTIyMud+5r757KFvvvkmOjs7cfXVV6Ovr4+9ADMqeF9fHxwOx7zbFQgEkEqlIS/kg/8f9u7di4GBAQDA17/+deh0OoyPj0MoFC5p5242m8Hn85ccPi6Xy9lW7/FEpVLB6XQu+JkCZtxRxcXF7O3ZpXrAzGevpKQE3d3diwpcywHppLc0aJqG2WzG0aNHodfrUVJSsqTAz9///vd49NFHAcwIwK+88gq2bt0aq+GGzeWXX85eny1GATOr4H19fQuWbi8VmqaDxCjGGWUwGODz+QDMv2BBIBAIhPjBOKMCBYQdO3aw1/fu3bsSw4JQKIRUKmWb7iQSbreb7Q4LBJfozZcXRdM0JiYmQmbmpKSkgKbpkOdRC8GU6gFgS/Vmw+FwoFQql2WeypzrBUazhOOMYuavga7p2eHlK91JbzYURSEnJwe9vb3zxsWcztA0jaamJsjlclLKeAoSlRg1MDCAoqIi1krIqPaBQbrZ2dmoqKjAv//974jfv7CwEF1dXbBarUH3M+3Ei4qK5h2Xx+PBNddcg/POO4+9ADNC1XnnnYcDBw5EPB5CMIHB5d/97ncBzBwsllKi5/P50NPTg8zMzCW7OeRyOaanpyNeFYoULpcLhUIR1Mo4FFKpFPn5+eztUGIUMLOimJeXh4aGhkUFrnhDyvSix+fzoampCZ2dnSgtLYXJZFrSZ/rpp5/Gf//3f7O3d+3ahUsuuSQWQ42Y/Px8lJaWAgAOHTrEiv0MarWatdbHC4/Hw07cbTYbRkdHAcx0pXG5XKBpmohRBAKBsAIwHeECnTNbtmxhT/zfe+89dtFgudFoNAkpRjEZiMw5VTjh5Xa7HV6vF3K5fM5jHA4HRqOR7WwYCVdddRV7fb64EyY3Kt5QFAWj0RjkjorEGTVfeDmQeM4oYMZ1plKp0N7eHtcFvdWI2WyG1WpFQUFBQpRWEmJLVGIUj8djFXwA7I5h9km5RqOJynJ48cUXw+fz4ZVXXmHvc7vdeP3117Fu3TpWFTWbzWhvb2efs2PHDjz++ONzLgDwla98BY8//nhU5XuE/9DX18eubKWnp+Oiiy5iM8OW4mjq7++HUCiMSWtTmUwGj8ezYLZYrAinVI9x1jE5WIcPH553MqbT6ZCamor6+voVm7ABpEwvWux2O44cOQKn04mKioo5FvpIefPNN3Hrrbeyt3//+99j586dSx3mkggs1Xv99deDHmMmj9GUCISLw+GAUCgEl8tFT08Pe7/JZILT6YTf7ydiFIFAIKwAFEVBJpPBYrGw9wkEAlxwwQUAgNHRUdTU1KzI2DQaDcbHxxPuRH92J71wwssnJiagVCrnjbTQ6XTweDwRi0aXXHIJ6+Les2dPyL+VRqPB1NTUkjv5hoNOp4Pb7cb4+DjbqTFcZxQTdA0EO6OYjnyJ5IxiyMnJgcViwcGDB9Ha2jrHlHE6YrPZ0NHRgaKioiVVGBASl6jEqJSUFLZMCwB7kl1XVxf0vNbW1iDRKlzWrVuHiy++GI888ggefPBBvPLKK/j2t7+N/v5+/PznP2efd+eddwbZf3NycnD++efPuTBjPP/88+PaAeJ04Nlnn2UPTjfddBO4XC7Gx8chEomiXmXwer3o7e1FVlZWTBRvLpcLqVS6LLlRTIj5QpObpKQkOBwOVFZWAphZkWlqapr3+Tk5OeByuWhpaYm7u2s+iDMqckZGRlBbWwu1Wo1169YtWcz7/PPP8a1vfYv9bN1+++1sN7uVJFCM2rNnz5zHU1JS4Pf7WcdSrAnspDd75ZOIUQQCgbCyzBajgLld9VYCqVQKHo+HycnJFdn+fMx2+zDOKJFIFOSqDyRUXlQgXC4X6enpEbujwinVE4lEkEgky+KO4nK5rDvKbreDz+cvKkgs5oyyWq0QCoVxb7QSDWKxGJWVlSgpKYHP58ORI0dQW1sLs9m8LOJfouH3+9HQ0ACDwcB2jSScekQlRhUXF6Ojo4P9YpxxxhmgaRoPP/wwq+T+9a9/RUtLCwoLC6Ma2IMPPohvf/vbePvtt/E///M/8Hq9+Otf/8qe0BOWH7/fz3bRoygKN910E4CZEr3k5OSohaT+/n6IxeIlu0gCWa4Qc6lUCg6Hs+C2BAIB+Hx+kN16vlI9YMZiXVxcjImJCfT398dyuGFB0zTJjIoAn8+H1tZWNDU1obCwEDk5OUvu8nHixAlccsklbNOG6667Dg899NCy25Npmobb7cb09DSGh4cxOjqKNWvWsPv1/fv3zynJY1ppzw4ejRWh8qKAmbwqu90OLpdLPrsEAoGwQjBRCYEEilErlRtFUVRClurZ7XZ2MddisaC1tRUAsHbt2pCCid/vx+Tk5KJz5rS0NNjt9ogzVMMp1dNqtXFbcJpNWloarFYrzGZzWIvezGJqoDMqUIxKtLyo2VAUBaVSicLCQpx55pnQ6/UYGBjAwYMH0dTUhKmpqRVbqF5u2tvbweFw5pRZEk4tojpj2rZtG6anp/HFF18AmMl4Ov/889HW1oZLLrkElZWVePTRR8HhcPCDH/wgqoEJhULceeed2L9/P06ePIk9e/Zg27ZtQc958cUX0dzcvOh7NTc345e//GVU4yD8hw8//JA9+bvoootgMpmWXKIXa1cUw3KFmFMUxbqjFnqOVCpdNMQ8ECbQvKOjY9lX8Xw+H/x+PzmhXwQmILS6uhpWqxXl5eVLDt8HgM7OTlx00UXs53f79u145pln4tLGlqZpeDweWCwWjIyMoLe3F62trTh58iQOHz6M/fv34+DBgzh58iR6e3vZ8lHGHUXTNN54440576vX6+FwOOLyHZxPjEpLS4PH44FEIiEtfwkEAmGFkMlksNlsQVED6enpbN5gTU1NUCj1csKIUYl0Mh9YpnfixAn2/vnyoqanp8HlchcVZng8HgwGQ1A5eziEW6o3Nja2LCWPzO8xODgYVjOp2c4oJkOLIZwQ9ESBx+MhLS0N5eXlKCsrA5fLZednp3rY+djYGAYHB7FmzRoypzvFieq/+9WvfhWfffYZNm7cyN73xz/+Eddddx00Gg24XC7y8/Px6KOPory8PGaDJawsgcHl3/nOdwDM7CyWUqLX29sLqVQaU1cUMOOMslqty5K7FE5uVFJSErKzs9kd6mJiFDAjqOXm5qK+vn5Z8q8YXC4XOBwOG6ZJmIvD4cDJkyfR0tKCrKwsrF+/PiYdN4eHh3HhhReybqMzzjgDu3fvXlKdvNfrhdVqxejoKPr6+tDW1oa6ujpWbDpw4ACOHz+Onp4eTE9Pg8PhQK1WIzs7G2VlZdi2bRu2bNmC8vJyiEQiTE5OLlqqF+0kOBwCxahAG75OpwNFUVGVhhMIBAIhNjAlULPzbphYDZqmo2puFAtUKhXcbndQwPpK4vF42EUUIPy8KJVKFdYCrsFgwOTk5JyyyYWYXap36NChOc+RyWTLWvKYnp4ODoez6LmG3++Hx+MJyoxKT08PmkNZrdaEdkbNh1QqRV5eHjZv3gyTyYSxsTEcOnQIdXV1CSewLhW3242mpibk5eWROd1pQFQFszweD6mpqUH3icVi/OIXv8AvfvGLmAyMkFgMDw/jrbfeAjCTCfP1r38dwExOTrQleh6PB319fXEJlRcKhRAKhZieno650DUbtVqNpqYmeDyeeUUDqVQKi8WCkpISnDhxAidPngxrdSYtLQ0WiwX19fXYsGHDsqwOMKtKpGPFXPx+P3p7e9Hd3Y3U1NSYBipOT09j+/btaGtrAzDTNfTf//73op8Rn88Hp9MZdHE4HOx1r9cLLpcLsVgMkUgEkUgEpVIJnU7H3g43O4ERXteuXYvc3Fy0tbXh008/ZfcDgRgMBnz55ZcxnfjRND2vMyo5OZnNryMQCATCykBRFORyOSwWCxQKBXv/9u3b8Yc//AHATCfmjz76CP/93/8d5BqPN8xiy9jYWEIIEna7HQKBgD0Gh9NJb2JiAmlpaWG9v0AgQFpaGnp6eiL6O1911VV45513AAC7d+/Gli1bgh5nSh5HR0ehVqvDft9oEQgEWLNmDWQy2YLPc7lcoCgKTqeTXSQODC+naXpVOaNCweVykZqaitTUVDgcDgwODqK5uRkURUGn00Gn061qAYemaTQ2NkKlUs3RGginJsT3RgiLF154AR6PBwBw4403QiAQsCV60YbC9/b2Qi6XB01WYkmo3IJ4IBAIIJVKFyzVk0qlsFqtbOaZ3+/HCN4HxwAAhUJJREFUkSNHwnr/vLw8UBS1bIHmpJNeaCYmJlBTU4ORkRGsW7cOBQUFMROiXC4XLrvsMvYzkZ6ejvfee2/e7pJMWPqBAwfwxRdfoLa2Fh0dHWynIIVCAZPJhHXr1mHLli3YunUrKioqUFJSgtzcXKSnp0Or1bKBruHCtHSmKAqXX345gJnPMiNUByIQCKDT6aLqqDofHo8HPp9vjhiVmpoKiqJAURQRowgEAmGFkclkc+ZfZ555JoqKigDMHDdeeukllJSU4PLLLw97PhQLEik3arYwwjijOBxOyIVar9cLi8US0SJreno6xsbGYLfbw35NOKV6Wq12WR05Wq120bmp2+2GQCAIcmUH5g05HA4AiImTPREQi8XIysrC5s2bkZ+fD5vNhurqahw/fhzDw8MJ1zkyHPr6+uBwOJCfn08WxU8TiBhFWBSapvH000+zt2+++WYA/ynRi2an7na70d/fH7RiEWsUCsWy5EYBi5fqSSQS+P1+lJWVsfeFU6oH/CfQfHx8HGazecljXQzSSS8Yt9uNxsZG1NXVQa/Xo7y8PKYCqs/nw3XXXYePP/4YwIzg8/777wdlHATCdGPU6XQoLS3FmWeeiW3btqGyshKlpaXIy8uD0WhEcnIyZDIZ+Hx+zA7oKpWKdV4tVqoHAEajEcPDwzErM7Xb7RAKheByuXC5XOz3wWQyweVygaZpIkYRCATCCsM4owLh8/n48ssv8dvf/hZarZa9//XXX0d5eTm++tWvhiwJizUajQYWiyUh8nYCO+l5PB62K3l+fn7IufXk5CTEYnFEC4YikQgpKSkRlc0rlUpcdNFFAOYv1VMqlWwMQKLAOPsDw8sDzzOYfK5TTeRgnGolJSXYvHkzVCoVOjs7cfDgQbax2GrAYrGgs7MTRUVFCdntkBAfov5Pe71evPvuuzh06BCGh4fZrk+zoSgKzz//fNQDJKw8+/fvZ4Piv/KVr7CtZpdSotfT0wOlUgm5XB7TsQYil8vR1dUFmqbjfuBRq9VobGycd1scDgcSiQQlJSXsfeGKUcBM2eGaNWtw4sQJSKXSuLnJAJBOev8/NE3DbDajs7MTKpUKGzdujPnfhaZp/PCHP2TFHIlEgnfeeYddPZ6N1+tFfX09jEYjDAZDTMcSDlwuFwqFAuPj4ygvL4fJZEJ3dzc++ugjjI+Pz7Hri8ViaLVa9PX1ITc3d8nbDyzRC3RcZWZmwuVywe/3EzGKQCAQVhiZTAaHwzEnvkAul+Puu+/Gbbfdhr/97W/44x//iIGBAQAzXfb27t2Lc889F7/4xS9w9tlnx2XuxrjZx8bGoNfrY/7+kWC321kHdGNjIyuQzZcXNT4+HlX0REZGBmpqapCZmRn2MfLKK69ks71ClepxOBy2VG+x8rnlYnZ4ORDsjFqteVGRIBAIkJGRAaPRiKmpKQwMDODIkSNISkqCXq9HSkpKQgo9Pp8PjY2NyMjIiOs5DiHxiMoZNT4+jiuuuAI///nP8dprr+GLL75AdXX1vBfC6iYwuPy73/0uACypRI9xNMTTFQXMlMb5/X7WlhtPFAoFvF7vgjZoqVQKg8HAHggjEaOAmVWonJwc1NfXzyv+xgJSpjezOnPkyBH09fVhzZo1KC4ujsvf5Ne//jWefPJJADNZfHv27MEZZ5wR8rk0TaOpqQlisRgmkynmYwkXpnskRVGsO8rr9eLtt98O+fyMjAwMDAywZb5LYb68KJPJBIfDQZxRBAKBkADw+XyIxeJ5g7OTkpJw++23o6OjA0888QQyMjLYxz7++GOce+652LJlC/bu3RuXMjCmxGylCSzTCzcvKhoxSiKRQKPRRFQ2H26p3ujoaMTjiRehnFGBYtRqz4uKBIqioFQqUVRUhDPPPBN6vR4DAwM4ePAgmpqaMDU1lVCh521tbeDz+Ss6vyWsDFGJUX/84x/R1NSEjIwM3HXXXXjyySfxwgsvhLwQV9TqZmJiArt37wYwI4Z885vfBLC0Lnrd3d3QaDRxX53gcDiQyWTLUqrH4XCgVCoXLNVLSkqCw+FARUUFgBlnR6RibVpaGlQqFerr6+NWC346l+l5vV60trbi6NGjUKvVqKioiFs455NPPon77ruPvf3cc89h+/bt8z6/t7cXVqsVRUVFK2oxZ8Qov9/P5kYBwGuvvRby+TKZDHK5HP39/Uve9kJilN1uB5fLPe2FVAKBQEgEZDLZol3cRCIRvv/976O1tRXPPPNMkIP20KFD+OpXv4ry8nK8/vrrMZ3zaDQaNmNxpfD5fHC5XGw5XqAYFcoZxTQlUSqVUW2PWRgKtzwxnFI9tVoNu92+LIu+4RDKGRW48H06OKNCwePxkJaWhvLycpSVlYHL5eLkyZM4fPgwent7V7xkdWRkBCMjIys+vyWsDFGJUZ988gm0Wi1eeeUV3HjjjTjnnHOwcePGeS+E1curr77K5r1cf/317Ing8PBwVK4op9OJwcHBoJWKeKJQKJYlxBz4T7jzfEilUthsNlx11VXsfT/96U8jWpmgKAr5+fnw+/1s17VYczqW6dE0jaGhIVRXV8Nut6OiogJZWVngcrlx2d7u3bvxgx/8gL39yCOP4Nprr533+ZOTk+jq6kJxcXHMQtOjJSkpCVwuF9PT09i0aRNbLvj+++/PK/wajUb09/fD5/MtaduBYlTgZNNoNMLhcCApKWlZOk4SCAQCYWEiaSIjEAiwc+dONDY24qWXXgrq/Hb06FFcfvnlKC0txUsvvQSv17vksSUlJYHP5y/YeCbe2O128Hg89pjOhJcDwLp16+Y8f2JiAnK5POoSK5lMBqVSib6+vrBfc+WVV7LXmYXpQHg8HpRKZcK4o2Y7o3g8HjtH8Xq9cDqdp40zaj6kUiny8vKwefNmmEwmjI2N4dChQ6iurkZDQwN6enowNjbG5nDGG5fLhebmZuTn5xNn+2lKVLN2l8uFsrKyqNV5wuqBmUhwuVzccsstAGZWc8bHx+e0cg+H7u5uaLXaZTsYyOXyZQsxV6vVmJqamveEWyqVwuFwYOfOnSgoKAAwk8f1+uuvR7QdLpeLkpISjIyMsFkLsYKm6dOuTM9ut+PEiRNob29Hbm4u1q5dG9dOKx9//DGuu+469iB/55134vbbb5/3+S6XC/X19cjNzU2IXAaKotjAfg6Hw7qj3G43my8xG5VKBaFQiMHBwai3S9M0HA4H+78JdEbp9Xr4/f5TpkMOgUAgrHYYZ1QkJ7Q8Hg/XXHMNTpw4gddffz2o6UtDQwOuvfZaFBUV4ZlnnlmSm4OiqBUv1WNKxiiKAk3TrDMqLS0t5GJvtCV6gWRkZKC/vz9sQe+SSy5hnfK7d+9O+FK92c6ojIwMdlHRZrNBIBCcts7/2XC5XKSmpmL9+vU444wzkJ2djaSkJFgsFrS1teHQoUM4ePAgjh07hra2NgwODsJiscTUTUjTNBobG6HVaqPuzE5Y/UQlRplMpph1RyIkNrfddhv+8Ic/4F//+hcbvh1tiZ7D4cDQ0NCyuaKAGTHKbrfHJK9mMcRiMfh8/rzil0AgAJ/Ph8vlwkMPPcTef8cdd0ScASUSibBmzRq0trbG1PnFTO5Oh4O1z+dDZ2cnampqIJFIsHHjRqSkpMTVIlxbW4tLL72U/TvfdNNN+N3vfjfv8/1+P+rr66HRaFY8aDWQQBdgOF31KIqC0WhEb29v1CttbrcbPp+PXTkLFKOY/xtZVSMQCITEQCqVwuPxRJVxyeFwcNlll6GmpgZ79+7F5s2b2cfa2tpw8803Iy8vD0888UTU5yMajQZjY2MrlpsT2Emvu7sbk5OTAEKX6NE0HRMxSqlUQiqVht2ZWalU4sILLwQAmM3mkKV6Wq0W09PTyzLPXghmMdVut7Pz8NM1LypShEIhtFotTCYTiouLsWnTJmzbtg2lpaVISUkBTdMYGBjA8ePH8cUXX+Dw4cOsi2p8fDxqF1Vvby9cLhfy8vLi8FsRVgtRiVFXXHEFqqurl7TKTVgdCIVC3HHHHUFZNtGW6HV1dSElJWVZ3QsCgQBisXhZSvUoigq7VO+rX/0qzjvvPABAR0cHHnvssYi3p1KpkJWVhfr6+pjVe7tcLvD5/FO+1GlsbAyHDx/G+Pg4NmzYgLy8vLh3F2ltbcX27dvZFruXXHIJnnrqqQXFr46ODvj9fuTl5SVUHb1KpYLVaoXb7caZZ56J1NRUAMC77747bwthZp8xMjIS1TYdDgeEQiG7ysmsfKpUKggEAiJGEQgEQgLB5XJZp0W0UBSF7du348CBA2ywOUNPTw9+8IMfICsrC4888ghsNltE761UKuH1eiN+XawIFKMWCy+3Wq3w+/0xcUdnZGSgt7c37LL5xUr1hEIh251wJXG73WwXZAaSFxU9XC4XcrkcaWlpyMvLw4YNG7BlyxZs2rQJWVlZkEgksFgsaG1tZV1Ux48fZ11UzGd2Pqanp9HV1YU1a9bELRKDsDqI6ozzuuuuw9lnn40bbrgBX3zxxYoGABKWF6/XG1WJnt1ux8jIyIp0SYgkt2CphCNGWa1WUBSFhx9+mBUYHnjggahszunp6VAoFDELND/VS/SYkjemfWxZWdmylL4NDAzgwgsvZIWYrVu34uWXX15QABseHsbg4CCKi4sT7kAtEAggk8kwMTEBLpfLNjZwOp3Yu3dvyNcw7qienp6oVtAC86K8Xi+be5GZmQmn00k66REIBEKCIZPJYjL/oigK55xzDj766CMcOHAAO3bsYB8bHBzET3/6U5hMJvz2t78NO5qBw+FApVKtWIlZoFMnMC8qlDNqYmICSqUyJguFarU6orL51VKqxyym9vT0sPcRZ1RsYRb9tFotMjMz57iokpOTWRfV0aNHWRdVY2NjkIvK6/WisbERmZmZCRE/QVhZot6r/frXv4ZQKMQtt9yCtWvX4txzz8V5550353L++efHcryEFWZsbAxisTjiHXpXVxdSU1PZk8nlZDlDzFUqFRwOx7y29KSkJNY5sm7dOuzcuRMAMDU1hfvvvz/i7VEUhYKCAni9XnR0dEQ/8P+fU7WTHk3TbPdCDoeDjRs3Ii0tbVncRpOTk7j44otZJ09JSQnefvvtBb8LNpsNzc3NKCwsXJHvTDhEWqoHADqdDi6XK6rQ2EAxymw2s6u6JpOJtYgTMYpAIBASB7lcviRnVCjOPPNMvPPOO6itrQ3q6Do2NoZ77rkHJpMJv/zlL8Ny6qxUbpTf74fT6QzbGRWLEj0GiqKQkZGBnp6esBYxwy3VGx8fX3KTkqXALKYy4eXAf8QomqaJMyqOhHJRbd26lXVRicXiOS4qoVAIo9G40kMnJABRiVEDAwP4xje+gdbWVtA0Da/XC7PZjP7+/pAXwqnDyMhIxK4om82G0dHRFXFFAf9xRi1HLgCPx4NMJpvXHcWU6TFjeeCBB1hh78knn0RTU1PE22QCzQcHBzE0NBT94HFqdtKbmppCTU0NBgYGUFpaiqKiomUT3BwOBy655BKcOHECwIxw8t577y04qfR6vaivr4fBYIBWq12WcUYDE2JO0zTOOussaDQaAMDevXtht9tDvobL5cJgMKC3tzfi7c3XSc9kMsHhcMDv9xMxikAgEBKIaELMw6WsrAx79uxBXV0drr32WtY1NDU1hQceeAAmkwl33HHHgg4gtVoNq9UaVa7VUnA4HOBwOOx8i3FGyeXyoNIyYEa4mpqaglqtjtn2k5OTweFwMDw8HNbzFyvVk0gkEAqFK9qdcHZ4OfCfMj2Xy0WanCwzC7mo1q9fj9LS0oSKnyCsHFGJUQ899BDMZjPKysrw2GOP4V//+hc++uijkJcPP/ww1mMmrBDRluh1dnZCr9ev2IkiI/YsVy7AQqV6EomEXREDZrqm3HnnnQBmArXvuOOOqLYpFouxZs0atLS0LGkVMlZlejRNY3p6Gv39/RgcHMTo6CgmJydhtVrhdDrh9XrjLg56PB40Nzfj+PHjSElJQUVFxbJ2APV6vbjmmmvwxRdfAJhZOXz//feRlpY272tomkZLSwuEQuGcCWmiIZfL4ff7YbVawePxcNlllwGY+Z699957877OYDBgamoq4s/pfJ30MjMzYbPZwOPxTjkhlUAgEFYzSUlJoGl63gWKWFBcXIx//OMfaG5uxs0338yWv9tsNvzxj39EVlYWfvjDH4YsI2NKzheKV4gHNpsNEokEFEVhbGyMXaBZt27dnFK8qakp8Pn8mLqkA91R4czFFivVY7oTrmSpHiNGhXJGWa1WSCSSUz4PdTXAuKgSLX6CsHJEldh78OBBpKWl4dlnnz0lS3oIoYmmRM9isWB8fBybNm2K48gWhqIoyOVyTE1NLYtFV61Wo6+vDzRNz1H9ORwOJBIJrFYrO7H46U9/iqeeegr9/f2ssMuEm0e63YyMDNTX16O8vBx8Pj/i93C5XJDL5RG/DphZvZucnMTo6ChGR0fh9/shl8vh8/ng8/ng9XrZCwOXywWPx2Mvs28vdD+XywWXy53zN6ZpGoODg+jo6IBcLsfGjRuXXQilaRrf+9738NZbbwGYccTt27cP+fn5C76uv78fU1NTKC8vT/gVIyZvY3x8HDKZDFdccQWefvppADOleow4NRs+nw+9Xo+enh4UFxeHtS2apoOcUYFiVEZGBhsESyaaBAKBkDhQFMXmRsU7ryc3NxdPP/007r33Xvzxj3/E008/DZfLBafTicceewy1tbU4cODAnGMrI6IsZ8fa+cLL58uLUqlUMZ8TpKamoqurC6Ojo4suMjOlev/+97/ZUr0tW7YEPUej0aC+vj7k3Hc5cLlckEgkrDNKIBCw/1OSF0UgJC5RiVFOpxObNm0iQtRpRjQlel1dXUhLS1txxwJTqmcwGOK+LSaMz2KxhBR2mFI95m8pkUjwu9/9Dt/+9rcBzIhTtbW1Ua0aZGRkwGKxoKGhAWvXro14QhCpM4pxy42OjmJsbAw8Hg9arRZFRUVQKBQhxQGapkMKVF6vd859jItq9v2BuQSzRSqv1wuPx4OCggJoNJoVmRT94he/wN///ncAM+LLG2+8gYqKigVfMzU1hY6ODqxbt27V7FvVajWGhoZgMplw7rnnQqVSYWJiAv/6178WLPk0Go2oqqoKEpgWwu12w+fzsaJioBhlMBgwMjLClgkSCAQCIXFgcqOWS+wxmUx47LHHcM899+Dhhx/Gk08+CbvdjkOHDqG2tnbOsVij0aCrqws+n2/Z3Bp2u50VR8LJi0pPT4/5GDgcDttURKvVLjpXuuqqq/Dvf/8bAPDqq6/OEaMUCgWAmbnMcrrQGVwuF5RKJStGmUwmdg5qtVpJUDaBkKBEJUbl5uaG3a2CcGrAiA7Z2dlhv2Z6ehqTk5MoKCiI48jCQ6FQLDlPKVwoimIdI/OJUbO/P9deey0effRR1NbW4vjx43j++edx0003RbXtwsJCHDlyBB0dHcjJyYno9eFkRrlcLoyNjWF0dBQTExOQSCTQarVYv349pFLpohMaiqJY4ShakZIRtGaLWUz5X0pKyopZgB999FH89re/BTDzu/7jH/9YtJGD2+1GfX09srOz2QndakCtVqO1tRVerxd8Ph+XXHIJnn/+eVgsFnzwwQf42te+FvJ1IpEIKSkp6O3tXdQtBsyU6AmFQvZ/GpgJkZqaipGREZIFQSAQCAmITCaLKidwqej1ejz00EMoLCzEd7/7XQDAP//5zzlilEQigUAgwOTk5LItathsNqSkpABYuJOex+OBxWKJWXj5bPR6Pbq7uzExMbFoJhVTqud2u7Fnzx786U9/ClpwpCgKGo0Go6OjKyZG2Ww2tknQ7E56Op1u2cdEIBAWJ6qahuuuuw6HDx9GS0tLrMdDSFCYEr1ITvg6OzthMBgSwuUhl8vhdDrhdruXZXtqtXreIMfAjnoMHA4HDz/8MHv7nnvumfOccOHxeCgpKcHAwEDY4ZQAWHEn1P/Lbrejp6cHR44cwZdffomhoSGoVCps3LgRlZWVyMrKgkwmWzYXEiNoiUQiSKVSKJVKaLVa6HQ66PX6FROiXnrpJfz4xz9mb//lL3/BVVddteBraJpGQ0MDlErlsjj3YolIJIJYLMbk5CSA8LvqATPuqMHBwbC+k7MdVIwzSiqVsrkbidp1kEAgEE5n5HI5rFZrWJ3b4sHll1/OzmtefvnlOR3fAkWU5YApO59dpsfn87FmzZqg505MTCApKSlu82imqUhPT8+iz1UoFGF11RsbG1uWhkGB0DQNl8sVFFbP5G76fD7Y7XbSSY9ASFCiEqMuvfRS3HTTTbjhhhvw8ssvw2w2x3pchARjZGSEXcUJh8nJSUxPTydM204ej4ekpCRMT08vy/ZUKhWmp6eD8pEYpFIpW34WyFe+8hU2Z2dwcBAPPvhg1NuXSCQoLCxEc3Nz2KKW2+0GRVHg8/lsAHlHRweqq6tRU1ODqakp6PV6bN68GRs2bIDRaCQCQADvvvsubrjhBvb2vffeix/84AeLvq6zsxNutxsFBQUJnxMVCsYFCAAXXHABa4V/6623FhSaGBExnI6rgWKU3+9nJ84mk4ndBumkRyAQCImHUCgEj8eLeoFtqahUKuzYsQPAzNzq448/nvOc5RRRnE4naJqGWCyGw+FguygXFxfPEZ3CcSwtFYPBAIvFElbFS+Di2quvvjrncZVKBZfLFdfA+lB4vV74/X709fWx9zHOKLvdDh6PlxAL4wQCYS5RiVFFRUXYtWsXJicncf/99+O8885DUVFRyMtslZ+w+oi0ix5N0+jq6kJ6enpUIdrxggkxXw4Yx0god5RAIIBAIAg5MfvDH/7A/s0eeuihoANrpGi1WhiNRtTX18Pj8Sz6fIfDAZ/Ph9bWVhw6dAgnTpyAy+VCVlYWtmzZgtLSUuj1enJAD0FVVRUuv/xyVmC89dZbcf/99y/6utHRUfT396OkpGTVdhZhukfSNA2hUIhLLrkEwIwgHWrSH0hGRgb6+/vnrFTPJnAVeWhoiG3DbTKZ2Ik9EaMIBAIh8QgMMV8prr32Wvb6Sy+9NOdxhUIBn8+3LIJZYCe9uro69vg3Oy+Kpmk2vDye8Pl8pKWlheWOmt1Vb/axm8vlQq1WL3tXPZfLBS6XG1QOyjijrFZrWBESBAJhZYhKjKJpOuzLStlyCbEj0hK9yclJWK3WhHFFMSgUimWdDC1UqpeSkhLSEZKXl4f/+3//L4CZE/B77rlnSWMwmUyQSCRobGwMueLn9XoxPDyMhoYGVFVVYWxsDBRFoaioCGeeeSaKioqQnJy8aoWS5aCurg5f/epX2ZXAyy+/HI8//viiEx9mRbSwsHBV5x0plUq4XC44HA4AM78/w2uvvbbgaxUKBcRiMQYGBhZ8nt1uD9lJLzMzE06nE36/n4hRBAKBkKAwIeYrxde+9jU2w/O1115jj1cMHA4HarUaY2NjcR/LfJ30ZotRTqcTLpdrWXIkjUYjJiYmFhXjFAoFtm/fDgAYGBiY12W2EmKUUCgMypNknFGkkx6BkNhEJUY1NTVFdCGsbsbGxsIu0aNpGp2dnTAajeDxosrHjxvMZGi5BFKmfCmUCGQ0GjE2NgabzTbnsXvvvZe1Zb/wwguoqamJegyMsORwONiDtMvlgtlsxokTJ3DgwAF0d3dDLBYjOzsbRUVFyMvLg0qlCtkJjxDMJ598gq1bt7IT2LPPPhv/+Mc/FhXvfD4f6urqoNPpIu5QmWhwuVwolUq2VO/iiy9mJ35vvPFGyFJVBoqikJGRgd7e3nm/l0y+RigxymQywWq1LikMn0AgEAjxZaWdUSKRiF0osVgsbFe4QJYrNypQjFoovHxiYgIKhWJZFgMFAgF0Ol1Y7qjrr7+evf7CCy/MeVyj0cBqtbIO5uWAEaM6OzvZ+2Y7owgEQmIS1dnm4cOHUVtbG+uxEBIUk8kUdlvZ8fFxOByOuLShXSpisRgcDmfZcguUSiXcbvecFThgJkMhNTU1ZIcZlUqFX/3qV+ztn/70p0vKMWACzfv6+lBTUzNvADmXyyXukgj45z//iYsuuogt/ayoqMCbb7656N+Qpmm0tLSAx+NF1J0ykQl0AYrFYnz1q18FMCNkf/bZZwu+VqvVgsPhzBu273a7g5xPgSufJpMpqOSBQCAQCInH/9fefYe3VZ5/A/9qWZaHbMvylC3JGY5HbGeRYDYNJGEHSBhZjKYEWii0QAnQlj3Cagu0tIFAmpAQIINR5o9ZCMTZcZw4TuzEI957yprn/cOvTq14O7Isyd/PdeWKfXSk89hPcnR0n/u+H7VaDZPJNKiWASOle6nehg0bejweGRmJ9vb2EQ+idHR0iDdsumdGZWVluezX0NAw4iV63SUmJqK2trbXa9buLr/8cnG1vK1bt/a4plYoFFCr1R7NjrJYLC6ZUc4VewVBYGYUkZcbVjBq6dKl+Nvf/ubusZCXCg4OHtSdGWevKL1e75VlXRKJBGFhYR7rGyWTyRAWFiZmjJxKr9ejpqYGnZ2dPR67/fbbMXHiRADAf//7X3zwwQenNZbg4GBkZmZCp9P12YDcbDazH9QgCIKAp59+GkuWLBEvrC+77DJ8++23g0qnr6ysRGNjI9LS0vwm+ywiIgKNjY1idtNQVtWTSCRITExEWVlZr0FXk8kEpVIpnlO6Z0bp9XqYTCbe9SQi8mIKhQKBgYGjWqp3wQUXIC4uDgDw6aef9rg2cwZRRrJUzxkcCQoKgt1ux4EDBwAA48aNc7l+EAQBTU1NHg1GqVQqREdH93qTtDulUokbbrgBQFdgbevWrT328XSpnvP61RmMMhqNkEgksFgssFqtDEYRebFhfRIKCwsb0spqNDbU19fDbDYjPj5+tIfSJ7Va7TV9o1QqFbRaba9p0QEBAXj++efF7++///5+VyYbjLCwsH4bkDvvLFHfbDYbbr/9dpdeXitWrMAHH3wwqIBIS0sLCgsLkZaW5le/6+DgYMjlcjHQe8kll4iZTNu2bRuwQXlsbCysVmuvgdvuJXqAazAqNjYWNpuNF5pERF5utPtGyWQyMYhitVp7vVEy0qV6FosFdrsdKpUKhYWFYq/JU/tFOX9PztVpPUWv16OqqmrA7LCBSvW0Wi2ampr6LdN3J7PZjNbWVjGry1mi197eDpVK5ZU3yImoy7CCUSkpKS4fCIicvaK8NSvKyZkZ5Ynle4GujJGmpqY+++H098Z/5ZVX4oILLgAAFBUV4e9///tIDlWsuafetbW14aqrrsLq1avFbc888wxee+21QfVHs1qtOHToEJKSksQUd38hkUjEVfUAICQkRGxyWl1dje3bt/f7fKlUioSEhF4Ds30Fo5RKJdRqNSQSicvjRETkfUJDQ0c1GAUMXKrnDKIMdANluJyLcchksgH7RUVERHi8/Dw4OBgajWbAlZyzs7Mxfvx4AMA333zTY3/nokd9VQa4m9lsRlVVlfi9s3l5W1sbb1YReblhl+kdPHgQ3333nZuHQ76qtrYWNpvNq7OigK6LIavV6rHGis4Sx75KA0NCQhAREdHrG79EIsGLL74oXow8/vjjI5Y+LggCy/T6UVlZifPPPx+ffvopgK50/g0bNmDlypWDulgUBAH5+fkIDQ31yn5q7tA9GAUMrVQPAOLj49HW1tYjc9FkMonNXp2lwEBXvyir1QqJRMJeZ0REXs6Zme6pm4G9mTZtGiZNmgSgqwXCqTdAVCoVlEplnxntp8tZogf0v5KeMxg1GvR6PSoqKvrt7yWRSLBs2TIAXe/LfQX2PFWqZzabXVbl7Z4ZxTJ+Iu82rGBUWloalixZgjvvvBN/+tOf8MMPP+D48eOoqKjo9Q/5N+cHRIPB4PU9cGQyGUJCQjxWqufMGOnvwsZgMPT5xj9t2jTcdNNNAICmpiY8/vjjIzJOm80GQRCYGdWLw4cPIzs7G3v37gXQlV335ZdfYtGiRYN+jZKSEphMJqSkpPhto+2IiAh0dHSIgd7LL79cDG5u2bJlwFUs5XI54uPje3w4cN5JBroaujpXoDQYDOjs7IQgCAxGERF5uZCQEFit1tNuOXA6JBKJS3bUpk2bejweGRk5Yjf+BrOSnt1uR3Nz86gFo9RqNUJDQ1FeXt7vfkuWLBG/XrduXY8go1arRX19/YivYG2322Gz2VzGy8woIt8xrMjB7NmzsWHDBthsNmzevBm33XYbLrvsMsyePbvHn4suusjdYyYvU1NTA4fDgdjY2NEeyqCo1WqPNTEHuj6k95eqrFaroVar+3zjf/LJJ8WLl3/84x84evSo28doNpshk8m8usRyNHz//fc4++yzxdIwvV6P7du3i+WTg1FfX4+ysjKkp6cPqpzPVykUCoSGhoqBV7VajTlz5gAAKioqkJOTM+BrJCQkoKGhQeyjIQiCS5le9/JwBqOIiHyHTCZDcHCwR/t29qb7jaS+VtWrr68fkQwu50p6giCIwSitVutSVdDU1ASlUjmq5ecGgwEnT57st1xx3LhxOOeccwB03bTrHlwDuoKPcrkcTU1NIzlUmM1mSKVSl+uDpKQkOBwOdHR0MDOKyMsNKxgVFxeHuLg4xMfHi1/39cdXAhQ0PL6UFeU0Gk3M29ra+r0bqNfrcfLkyV6bPep0Otx///0AujKY/vCHP7h9jOwX1dM777yDOXPmiBdSU6dOxY4dO5Cenj7o1+js7ER+fj6Sk5PHxAXRqYHXoZbqKZVKl9V8LBYLHA6HeFHuLNEDui6WW1tbIZfL+W+XiMgHeEPfqPHjx+PMM88EAOTm5iIvL8/l8bCwMDgcjhEZp7NMr7KyErW1tQC6ri26Z0yPZomeU3h4OFQq1YDVLc5SPaBnI3NnltlIl+o5W0x0D0YZjUZ0dHRAKpXyZhWRlxtW9OCbb74Z0h/yX86Ggb4UdAwLC0NbW9uINag81akZI70JDw8XL1B6c//994tLEn/44Yf49ttv3TpGrqT3P4IgYNWqVVi0aJEYQLzkkkvw3//+V5yDwXA4HDh06BCio6MRExMzUsP1Ks6SVOcd5SuvvFLMBtu8efOg7jQnJiaiuroaZrMZJpMJSqVSDHSferHpvLD319JHIiJ/4rwW8lTfzr7018hcKpVCo9G4vVTParXCarUiKChowH5RGo3GrcceKolEAoPBgLKysn7L7BYuXCheO27cuLFHuwlnqd5I9glz3kw9ceIEgK5erZGRkWhvb0dwcDCvD4i8nG+kspBXcjgcKCkpgdFo9KmTvVKphEKh8OjduYFK9QZ64w8ODsbTTz8tfv/73//ercE0Ni/vYrPZ8Otf/xorV64Uty1fvhwfffTRkDObjh07BgCYMGGCW8fozdRqNQRBEP9vRUREYPbs2QCA0tJS7N69e8DXCA4OFpv697WSHtCVTegseSAiIu+n1Wohk8mwY8cO7Nu3D+Xl5aMSmLruuuvEtgQbN27scd01Ehk9HR0dUCqVkMvlfQajLBYL2tvbvWLF3cjISMjlcpdV6k4VHh6OK6+8EkDXQkZffvllj8dtNtuIXm+bzWYoFArx+iApKQkSiYT9ooh8BINRNGyVlZWQSqWIjo4e7aEMiUQiQVhYmMdL9bpnjPS1j0Kh6DM7atmyZWKTy/3792P9+vVuGx/L9LoaXc6fPx///Oc/xW1PPfUUVq9ePeReT1VVVairq0N6erpXlq8KggCbzYbOzk60traisbERNTU1qKioQElJCYqKinDkyBEcPHgQ+/btw86dO/HTTz9h165d/f4blkgk/ZbqbdmyZVDjc67m09raKvZLA1zL9HQ6HSwWy5gofyQi8gcBAQGYMmUKzjzzTERHR6O2tnZUAlPR0dG4+OKLAXTdKNm+fbvL4xqNBh0dHejs7HTbMbuvpNdX8/LGxkaEhoZCoVC47bjDJZFIoNfrUVZW1u/7/tKlS8WvTy3Vk0qlI9oQHugK4DU3N4uZ7M7m5VxJj8g3nFY33cbGRrz//vvIyclBdXU1ACAmJgazZs3CwoULR73mmUaOw+FAaWkpxo8f71NZUU5qtXrEmyqeejy73d7vm6MzO+r48eOIi4vrEcSQSqV48cUX8Ytf/AIA8NBDD2HhwoVuufMz1j/UV1VV4fLLL8eePXsAdJVWvvnmmy6rxQxWW1sbjh07hvT09BHvVSAIAux2O6xWK2w2W79/n7rNeXGpUCggl8t7/B0YGIiQkBAoFApx2+HDh1FXV4eoqKg+x6TRaFBVVSVeEM6fPx+333477HY7Nm/ejGeeeWbAc0ZYWBhCQkJQWVmJcePGiduddz7lcjkiIyMhCALvfBIR+RilUgmdTgedTgez2Yy6ujrU1taisLAQarUa0dHR0Gq1I3qTbPHixfj8888BdJXqnXvuueJjCoUCYWFhqK+vh06nc8vxuq+k58yMUqlUSE5OFvfxhn5R3UVHR6O4uBg1NTV9thuYN28etFot6urq8OGHH6Kpqckls0ur1aKkpARJSUkjMkaz2Yyamhrxe+dx2traoNfrR+SYROQ+ww5G/fjjj7j33nvR0tLiEjEvLCzETz/9hDVr1uDFF18UV1og/1JRUQG5XN7vh1JvFhYWhtLSUgiC4JFgmlQqRXh4OBoaGvoN+kRFReHEiROoqanptQ/XhRdeiKuuugoffvghKisr8fzzz+PRRx897fGN5TK9I0eO4JJLLhGzbtRqNbZt2yYG/YbCZrPh0KFD0Ov1I9bzQRAEHD9+HFVVVWJQSSKR9BpQUigUCAwMRGhoaI/tCoUCMplsSP/+4+PjUV5e3u//+4iICBw9ehQ2mw1yuRxarRYXXHABvv76axQVFeHAgQM9emT0JjExEXl5eb2W6SUkJIjN/tmclIjId/UWmKqpqXEJTEVFRbn9GmX+/PkICgpCR0cH3n//fbz88ssux3Bm9LgzGKXVatHS0oLCwkIAQGZmplguKAgCGhoakJqa6pbjuYNUKkViYiJKS0sRHR3d6/WCQqHAokWL8PLLL8NsNmPz5s1Yvny5+LhGo0F+fn6Psnt3MZvNLqWERqMRVqt1zN9kJfIVw6ofKS4uxl133YXm5mYkJyfjwQcfxGuvvYbXXnsNDz30EFJSUtDc3Iy77rrLpayC/IPdbkdpaalYl+2LQkJCYLPZYDKZPHZMjUbTb98o4H9p0c5AWW+ee+45sWzs+eefR3l5+WmPbayW6f3www8466yzxPNUYmIitm/fPqxAlCAIyM/Ph0qlGrG7cTabDQcPHkR9fT3S09Mxc+ZMnHPOOTjvvPNw9tlnY+bMmZg2bRoyMjKQmpqKCRMmwGg0QqfTISYmBhqNBmq1GiqVCnK5fMj/f+Pi4tDS0oL29vY+9wkMDIRKpXJp2H/ttdeKXw9mVT2g64NAXFwc1Go1AKClpUV8TYPBIJZzMBhFROQfnIGpqVOniqV8NTU1+Pnnn7F//36Ul5f3uzLxUISEhOCqq64CADQ0NOCLL75weTwyMhKNjY29rnI8HM4yvdzcXHFb9xszHR0dsNlsCAsLc8vx3CUuLg5Wq7Xf69f+SvXkcjkiIiJGbFU9s9nssuqf0WhEW1ub2J+LiLzbsIJRq1evhslkwp133okPP/wQN910Ey688EJceOGFWLZsGbZt24a77roLJpMJr7/+urvHTKOsvLwcSqUSkZGRoz2UYZNKpQgNDfV436jm5uYBG4/HxMTAbrf3+cadnJyMX//61wC6Ll7++Mc/nta4HA4HrFbrmAtGvfvuu7jooovEAMeUKVOwY8cOTJ48eVivV1ZWhvb2dqSmpo5IkNZkMmHv3r0AgGnTpolLLw8nqDRcCoUC0dHRAwZATw28Xn311eIYB7uqnkQiwaRJk8Q71aeupGcymSAIAoNRRER+6NTAVFRUlNsDU/2tqhcUFNTjxspw2e12mM1mBAUF9dsvKiwszOv6TEqlUiQkJKCkpKTP9+7p06eLGV0//PCDuLKdk7OMz90cDgcsFgtOnjwpbktKSmK/KCIfMqwz3o4dO5CUlIQ777yzz31+85vfICkpCT///POwB0fex2azoayszOdW0OuNp5uYq1QqBAYGDtirypkW3d8b/5///GexJv/f//63GKQYDufF3Fgp0xMEAS+88AJuuOEG8WefO3cu/vvf/yI+Pn5Yr9nY2Iji4mKkp6ePSOPRpqYm7N27FxqNBhkZGaN6t0+n06G6urrfu8XOYJTz329sbKzYj6OgoACHDx8e8nG7B6MMBgPa2togl8vHXBCViGisGanA1Jw5c6DVagEAH330UY9V39zVfLujo0Msj+9rJb3GxsYRK+8/XfHx8ejo6EBzc3Ovj0skEixbtkz8/u2333Z5PDIyEi0tLW7LanNyvl5paam4zZkZxX6SRL5hWMGo2tpapKWlDbhfWloaamtrh3MI8lLl5eVQqVRe+4Y5FGq1us831pFy6kpjfYmLi4PZbO5z38jISPz5z38G0BVcuffeeweVbdIbZ78oXw8uDobdbsddd92F+++/X9x266234uOPP0ZoaOiwXrOtrQ2HDh3CxIkTh/0a/amsrERubi6SkpIwYcKEUZ+n0NBQBAcH97vcc1hYGKxWKzo6OsRt3VfVG2ypXne9BaNUKtWo/z6IiMhz3BmYUigUuO666wB0ZR9v27bN5XFnMGq411dOzhI9iUQiZkZJpVJkZGQA6MrwaWpq8qrm5d3J5XLodDqX9+FTLV68WHw/XrduncvvTKlUIiQkxO2r6jlbTDhbLYSFhSEiIoKZUUQ+ZFjBqKCgoEF9oG5oaHBZlnsoLBYLnn/+eZxzzjnIzMzEwoULeyy92psvv/wS99xzD2bPno2srCzMnTsXzz77rEczYPyVMyvKl3tFdadWq9He3u62fgCDMZi+UQAgk8nEppF9+c1vfoMJEyYAAL777jt89NFHwxqTxWIZE9kl7e3tuPrqq/H3v/9d3Pb444/jjTfeGHY2U3t7Ow4cOAC9Xo+4uDh3DRVAV5CxsLAQRUVFyMzMHHbW1kjQ6XQoLy/v8wJdJpMhPDzcpbzhmmuuEb8eTjCqe/9Bg8GA9vZ23vkkIhrDTg1MabXaIQem+ivVCwsLgyAIp/0ZwrmSnsViwaFDhwAAkyZNEj8jtba2QiqVevV7WkJCApqbm3tkjzklJibiwgsvBNC1mFVOTo7L4yNRqmc2myGTycRrZaPRCEEQeH1A5EOGFYxKSUnBrl27UFBQ0Oc+R44cwa5du5CSkjKsga1cuRJr167FFVdcgYcffhgymQy33XYbdu/e3e/z/vSnP6GoqAhXXnkl/vjHP+Lcc8/F22+/jeuvvx6dnZ3DGgt1KSsrQ0hIiNfeuRkqpVKJwMBAjwYqw8PD0dnZOah/i/Hx8Whvb++zrC8gIADPPfec+P39998/rBTosbCSXnV1NS688EJ8/PHHALru8q1duxZ/+tOfhh1Y7ejowIEDB6DT6dzesNzZqLyhoQHTp093WSbZG0RFRcFms/XbS+PUwKtOp0N2djYAIC8vr9/3j950vyOr1+thMpl455OIiAB0XdMlJCT0Gpg6cOBAnzces7OzYTQaAQBfffWVS9avRCJxS6leR0cHgoODkZ+fL16nde8X1dDQgIiICK++0atQKBAfH9/vTdLupXqnNjLXarVobGwcsG/qUJjNZjQ3N4tzm5SUJC5MNNxkCCLyrGEFo6677jrYbDbccsst2LBhg8vKSu3t7Xj77bdx6623wm634/rrrx/y6+fm5uKTTz7B73//ezzwwAO4/vrr8e9//xvx8fF44YUX+n3uyy+/jI8//hh33303Fi5ciD/+8Y948skncfz4cfGDKA2d1WrFyZMnkZSUNNpDcStP942Sy+VQq9WDyo5ypkX398Y/f/58nHfeeQCAY8eO4bXXXhvymPx9Jb2CggJkZ2dj165dALrKzD777DPcdNNNw35Nk8mE/fv3IzY2FgaDwV1DFV973759EAQB06ZNG5GlkE+XVCpFfHx8v43MIyIi0NTU5HLh2b1Ub8uWLUM6pjMYJZFIEBMTA5vNNiJlkURE5NtODUzZ7XaXJtfdSSQSLFq0CEBXudy7777r8rg7glHOMr3++kX5wo3ehIQE1NfXu5Tgd3fNNdeI1yybNm0SV70FuoJDSqXSLQ3hncxms0s7GGe/KGdJJBF5v2EFoy677DJcddVVaGhowJNPPokZM2YgOzsb2dnZmDFjBp566ik0NDTgqquuwqWXXjrk1//8888hk8lcAllKpRILFizAvn37UFlZ2edzZ82a1WPbRRddBAAoKioa8lioS1lZGdRqtdctOXu6RqNv1GBL9YCB06IlEgleeukl8fvHHnts0K/t5M9letu3b8dZZ50lruyi0+nw448/iueE4ejs7MT+/fsRHR3t9pLV5uZm7N27F+Hh4cjMzPTqZYnj4uLQ0NDQZ5ZfUFAQFAqFy/+va6+9Vvx6qKV6zjK9uLg4OBwOAPDKQB0REXkPpVKJcePGoaysDFartdd9upfqbdy40eUxjUaDjo4OMeNmqBwOB0wmU58r6dlsNrS2tvpEMCowMBDR0dF93iQNDQ0VS/IbGxvx6aefio9JJBK3l+qZzWaXTDaj0ch+UUQ+Ztjrh65atQqPPPIIEhISIAgCGhsb0djYCEEQkJiYiEcffRTPPvvssF47Pz8fRqOxx8kkMzNTfHwonCc+XzjReyOLxYLy8nK/y4oCuoJRLS0tp92ccig0Gg2ampoGdUyFQoG4uLh+m0ZOnz4dS5cuBdD15v/kk08OaTwjVaa3f/9+rFmzBlu2bMH333+PQ4cOobq6us+LQXfbvHkzZs+eLQbnMjMzsWPHDvE8Mhxmsxn79+9HZGQkxo8f79ZAVFVVFQ4cOACj0YiJEyd6/V29wMBAaLXaPrOjJBJJj8CrwWDAjBkzAAD79u3D8ePHB3Usk8mEmpoaAF0Xm867rYGBgafzIxAR0RgQHh6O0NDQPrOj0tLSxEylnTt34tixY+Jjcrkc4eHhw86OMplMkMlkUCqVLplRWVlZALpWy3WutuwL9Ho9ampq+gzOOa9Hgd5L9dzREN7JYrG4JCgkJSWxXxSRjzmt2+433ngjbrzxRlRXV6O6uhoAEBMTg5iYmNMaVG1tLaKionpsd25zfigZrNdffx0ymQxz587tdz+LxdJnz52+UlLHgrKyMoSHh0OtVo/2UNzOGfB01vN76pgSiQQNDQ2IjIwccP/ExETk5OT0+wb71FNPYfPmzTCZTHj11Vdxxx13YOLEiYMajzvL9BwOBz799FO88MIL+P777/vcLzw8HFqtdtB/wsPDIZPJBjUGQRDwl7/8Bffdd594wXPxxRdj8+bNp/Vv2GKxYP/+/YiIiHBrsEgQBBw/fhyVlZXIyMjwqaC5TqdDXl4ejEZjr/Oj0WjErDSnBQsWiL3/tmzZ4rKyYV+634U1GAziRbCvXLwTEdHoSkpKQm5uLhISEnpdtGTx4sVisGjjxo145JFHxMecpXoJCQlDPq6zRA+A+Po6nU78TOMrJXpOQUFBiIqKQklJSa99gWfPno24uDhUVlbik08+QX19vXit67wGa25udksvTLPZ7HJDzFmmp9PpTvu1icgz3FID4o4AVHednZ29Zmo4PzAPpRH5xx9/jM2bN2P58uVig8K+/Otf/8Krr746pLGOBaGhoV61kpc7SSQShIaGorm52WPBKIlEAqPRiKNHj2LGjBkDruSmVCoRGxuL0tJSpKam9rpPYmIi7rvvPjzxxBOwWq144IEHsHXr1kGNxx1lep2dnVi/fj1eeuklHDlyZMD9m5qa0NTUhMLCwkG9vlQqhUaj6TdgFRkZCa1Wi40bN+KVV14Rn3vzzTdj9erVw14xD+jqmXbgwAGo1WokJye7LRBlt9tx+PBhdHR0YNq0aT7XcDMsLAxKpRK1tbWIjY3t8XhERAQOHz6Mzs5OMXB07bXXYuXKlQC6stcGE4zqnhloMBjQ1tYGuVzut+WlRETkXmFhYVCr1SgrK8O4ceN6PH7jjTfiD3/4AwRBwIYNG/DnP/9ZfK+PjIxEUVERbDbbkMvnnSvpFRcXi2Xr3ZuXNzY29joeb2Y0GrFr1y4kJib2uHaWy+VYvHgxXnjhBVitVrz77rv49a9/DeB/DeHr6upOOxglCALMZrNLtltCQgJyc3OZGUXkQ7yyIUlgYGCvGUpDLc3YvXs3Hn74YZxzzjn43e9+N+D+K1aswC233NLrY/n5+ViyZMmgjutvoqOjR3sII8rZxNyTAbf4+Hg0NDSgoKAA6enpAwY3EhMTsWvXLhiNxj775PzhD3/A66+/jqqqKmzbtg3ff/89zj///H5f12azwW63D7tMr66uDv/4xz/w6quvujSRBLqWLf7lL38JQRBQV1fX65/BNrJ0OBzic4bikUcewSOPPHJawSNnICooKAgpKSluC0R1dnbi4MGDCAgIwLRp004rWDZaJBIJdDodTp48iZiYmB6/G7lcjtDQUDQ2NiIuLg4AMGHCBEyZMgX79+/Hzp07UVJSMmATeGe/KOB/dz5VKpXXlzISEZH3MBqNyM3NRWJiYo/3XJ1OhwsuuADffvstjh07ht27d+OMM84A0NWfUKVSoaGhYcjXxM7M+71794rbnCWBnZ2dMJlMXrdi7kBUKhViY2NRXFyM9PT0Ho8vXbpUXHBq3bp1YjAK6CrVKywsPO1WB1arFYIgiDerNBoNZDIZAgIC/H6FaCJ/Mqhg1AcffHBaB5k/f/6Q9o+KihLL/rpzftgdzBvBkSNHxFKll19+eVB3Mvo7gflaxgINnlqtRmFhIQRB8NiHW4lEgpSUFOzatQuVlZUDBsJUKhWioqJQVlaG5OTkXvcJCQnBU089hV/+8pcAgN///vfYtWsXpNK+W8NZLBZIpdIh3+k7evQo/vKXv2Dt2rU9MhXPP/983Hfffbj00kv7PTbQFQxraGjoM1jV25++mrl3J5fLsXr16j6Dy4Nls9mQm5uLwMBApKamuu3fR3NzM/Ly8hAVFYUJEyYM+HvyZjExMSgqKkJra2uvZZDOvlHOYBTQlR3lLFfYunXrgDcLTs2MYk8IIiIaqrCwMISFhfWZHbV48WJ8++23AIANGzaIwSjgf/2OhhqMam9vR3R0dK/NyxsbGxEaGurVi5X0xWAwICcnB62trT1Wts3MzERWVhYOHDiAnJwcHD16VLx2jYiIgMViOe1G42azGRKJRMyMYr8oIt80qLPfypUrT+tD2FCDUSkpKcjJyUFbW5vLierAgQMA0GepklNpaSmWL18OjUaD119/nScm6ldYWBgcDgfKysqg1+s9dlyFQoHU1FTk5eUhLCxswH+ner0ee/bsgcFg6LM86aabbsLLL7+MAwcOYO/evXj77bexbNmyPl/T2S9qMP+/BUHAjz/+iBdffBEfffSRSwNKmUyGhQsX4t577xUbVA+GXC5HdHT0kC7uzGYz6uvr+wxW2e12LFmyBNnZ2YN+zd7Y7Xbk5uZCoVAgLS3NbQGj6upqFBQUYPz48YiPj/f57B6ZTIa4uDiUl5f3GYw6efKkS7B3wYIF+NOf/gSgq2/UUINRhYWF0Gg0bvwpiIhoLDAajThw4AASEhJ63IC+9tpr8etf/xoWiwWbNm3CCy+8IAaKIiMjkZeXN6Qbl4IgiCvpdW9e7syM8rV+Ud0plUrodDqcOHGi14Vhli1bhnvvvRcAsH79ejzxxBMAuq4ZNBoN6uvrTzsY1dTUJK6u68ya5kp6RL5lUMGoM888c8gfmPbv3w+TyTSsD1rz5s3Dm2++iXfffVfM8rBYLNi6dSuysrLEO+wVFRUwmUwYP368+Nza2lrceuutkEgkWLNmDT+w0IDkcjkmT56M/fv3IyQkxKP/ZiIiIqDT6XD48GFMnz6934BHcHAwNBoNysrKMGHChF73kclkePHFF3HRRRcBAB566CEsWLCgz8y+waykZ7PZsHXrVrz44ovYuXOny2MhISH41a9+hbvvvnvAUit3USqViI+PH9GySrvdjoMHD0Imk2Hy5MluCUQJgoATJ06goqICkydP9qtzU3x8PHbv3o3x48f3+PfkvGPa0tKCsLAwAF03HNLT03Ho0CFs374d5eXl/TYc7V6mFx8fj0OHDvnlggpERDSy1Go1wsPDUVZW5vL5AehaXOWyyy7Dtm3bUF1djW+++QZz5swRnwcMrfl2Z2cnBEGASqUSM6PUajWSkpLElch9udm2Xq/Hjh070NzcLL6/O9144424//774XA4sH79ejz22GPitZRzJd7TuW40m80u7SGMRiPa29tdsrCJyPsNKhi1du3aQb/g7t278fzzz4ulO32VFPUnKysL8+bNw0svvYT6+noYDAZs27YN5eXleOqpp8T9HnjgAezcuRMFBQXituXLl6OsrAzLly/Hnj17sGfPHvExrVaLs88+e8jjIf8XGhqK5ORkHD582OONpI1GIxobG1FUVDTgCngGgwH79++HwWDos8fQ7Nmzcfnll+M///kPysvL8eKLL4pZKKfqr3l5a2sr3nzzTfz1r391CQYAXb0V7r77bvzqV7/yuV4HA3E4HOLdz4yMDLcEoux2O/Lz89He3o6pU6f6XbZmUFAQwsLCUFlZ2ePiUiKRiKV63S9WFyxYgEOHDgEAtm3bhjvvvLPP13dmRkVFRUEul8PhcLB0moiIhsVoNGLfvn1ITEzscQNl8eLF2LZtG4CuVfWcwShn8+36+vpBX/c4V9Krr68Xy8mmTJkCiUSCtrY2OByOHiVuvkShUCAhIQEnTpxAVlaWSwJCXFwc5syZg88//xwlJSX48ccfcd555wHoyjIrKCg4rdWczWazy+rqzIwi8k1ua1Ry9OhR3H777Vi6dCkOHDiAuLg4PPvss8PuN/Xcc89h2bJl+Oijj/Dkk0/CZrPhn//8p0v9dm+cK3m98cYb+MMf/uDy55///OewxkJjQ0xMDOLi4pCXlwebzeax40qlUqSlpaGqqgr19fX97hsaGgq1Wu2yekhvnn/+echkMgDAs88+i4qKil736+1CoLy8HCtXroRer8c999zjEoiaMmUK1q9fj+PHj+P+++/3y0DUoUOHYLfbkZGRIf4OT0dnZyf27dsHm82GadOm+V0gykmn06GiokJMme9Oo9H0aFZ/7bXXil9v3ry5z9e1WCziv1+DwSDe6OirkT8REVF/QkNDERERgdLS0h6PXXbZZeKNk61bt8JkMomPOYNRg+VcSa97iV73flHh4eE+3TMS6Fpgp62trdcFaZYuXSp+vW7dOvFrhUKBsLCwIS9K053ZbEZlZaX4vU6n440qIh902mfAyspKrFy5EldffTW+++47hIWFYeXKlfj8888xf/78YfdDUSqVeOCBB/Djjz/i4MGD2Lx5M84991yXfdavX++SFQUABQUFff5Zv379sH9OGhvGjRsHpVKJI0eOuPREGmkqlQrJyck4cuSIuGpkXwwGA8rLy/sNmKWkpOCOO+4A0HUx1FdmVPcyvdzcXNx0001ISkrCqlWr0NTUJO53ySWX4KuvvsLevXuxZMkSv1ypxOFw4PDhw7BYLMjMzHRLQ9GWlhbs3bsXoaGhyMzM9MkV8wYrMjISEomk1wv1iIgItLS0wGq1itsmT54sZs7+8MMPvS5aAQAnT54UA1zdg1GDXVWViIjoVEajERUVFT2uuQIDA8WbJa2trfj444/FxyIiImAymVwCVP3pLRjlD/2iupPL5dDr9Thx4kSP6+b58+eLmUrvv/9+j8CeO4NR0dHRCAoK8vngHtFYM+z/sc3NzVi1ahXmzZuHDz74AAEBAVixYgW++uor3HzzzX75YZX8n0QiQVpaGtra2lyaJntCTEwMNBrNgIEwZ7PzvrKdnB555BHx7t5bb73lcjHkZDab8dNPP2HOnDnIysrCunXrxIBBQEAAbr31VuTl5eHTTz/F7Nmzfb7Zdl8EQcCRI0dgMpncFoiqqanBgQMHkJiYiOTkZL+/QJJIJIiPj0d5eXmPx5RKJYKDg13unEokEixYsABAVyCwryza7v8PjUYjWltbIZPJhp3aT0REFBoaCo1G02t21OLFi8WvN2zYIH4tl8sRHh4+6CCKc3W3U1fSczgcaGpq8otgFNCVleRcXKa7oKAgLFy4EEDXzbmPPvpIfEyr1aKpqWnYlQhms9mlSkCj0fht5jmRPxvypyOz2Yx//etfuOiii7B27VrY7XZcd911+PLLL/G73/2Otbrk8xQKBSZPnoyysrLTumszHBMnToTJZEJZWVmf+0gkEuj1epSVlcFut/e5n1arFTOiBEHAvffeKwa5zGYz1q5di+uvvx433HAD/u///k98XkREBB5++GGUlJRgzZo1SE9Pd9NP552cgai2tjZkZWWddvaSs1F5QUEB0tLSkJiY6LdBvFPFxcWhpaUFbW1tPR5z9o3qbjCleqeupNfW1oagoKAx8zslIqKRYTQaUVlZ2SM76vzzzxcXSfnss89c3ru0Wu2gSvUEQeiRGeVcRbm5uRlyudxvSspkMhkMBkOv2VF9leqpVCqxn9ZQCYIAi8UiXitHRUXB4XDwMyiRDxp0MMrhcODdd9/FxRdfjL/+9a9obW3FxRdfjI8//hiPP/44oqKiRnKcRB4VEhKClJQUsem0p8jlcqSlpaG4uBitra197qfRaKBUKlFVVdXv6915550YN24cAOCbb77B+vXr8eyzzyIpKQm33HILioqKxH3Hjx+PV199FWVlZXjyyScRGxvrnh/KiwmCgKNHj6KlpQVTpkw57YxOu92Ow4cPo7q6GtOmTUNkZKSbRuobFAoFoqOje83acwajul+oTp06FUlJSQCAb7/9tteL0r6CUURERKcjJCQEkZGRPbKjZDIZbrzxRgCA1WrF+++/Lz4WGRmJ5ubmATN6LBaLeMPQ2c928uTJCAgIQGNjIzQajV/dVImLi4PNZnNpKg50BfYSExMBAF988YVLSf5gA3unstvtMJlMYpleUlKSmIVGRL5lUMGoL7/8EpdddhkeffRR1NTUYMaMGXjvvffw8ssvix8kiPxNVFQUEhISPN7QXK1Ww2Aw4PDhw30eVyKRwGAwoLS0tNeG0U5KpRKrVq0Sv7/pppvw4IMPutTZZ2dnY8uWLSgoKMBvfvObMfNmLggCCgsL0djY6JZAlNlsxv79+2GxWPy6UflAdDodqqqqevzbDQsLg81mQ0dHh7ite6me3W7Hhx9+2OP1ujfQNxqN6Ojo4N1PIiJyC2d2lLMfodOiRYvEr7uX6gUGBiIoKKhHpu+p2tvboVKpcPjwYfE6zd/6RXUnlUphNBpRXFzscl0qlUrF7Ci73Y533nlHfMwZjOrvOrY3ZrMZdXV14s0tg8HAawMiHzWoYNRvf/tbFBcXIzAwECtWrMDvfvc72Gw27N27d1B/iHyV0WhEUFAQDh8+7NGG5nq9HkqlEoWFhX3uo9VqIZPJ+mz87HTttdfi7LPPdtkmkUhw5ZVX4rXXXsNPP/2Ea665xi0rx/kKQRBw/Phx1NXVYcqUKafdf6i1tRV79uxBcHAwsrKyxnTPvNDQUISEhPTI2pNKpYiIiOhxAe8MRgG9l+p1z4zS6/W84CQiIrcJDg6GVqvtkR01depUpKSkAOhaZKP7e5FWqx2wjUNfzcutVitaW1v9LhgFQMyoP/X9v69SvZCQEMjlcpcFcwbj1P5UCQkJkMvlY/rai8hXDalLb2dnJ1avXo3Vq1cP+jkSiQSHDx8e8sCIvIFEIkFqair27NmDEydOiCVvnjru7t27UV1djZiYmF730ev1KCkpQWxsbJ/p3hKJBP/4xz9w0UUXob29HbfccgvuuecehIeH48SJEyP9o3il4uJiVFdXY+rUqae1KpvD4UBZWRlKSkpgNBrHVH+o/uh0OhQXF0On07n8PiIiIlBfXy+m7APAGWecgcTERJSVleGrr77qccfY+QEgLCwMKpUKNpsNoaGhnvthiIjIrxkMBuzZswd6vV68JpBIJFi8eLHYe3PTpk144IEHAHSV6uXm5sLhcPS5OIkzGHVq8/KmpiYEBwf7ZeBEIpEgKSkJRUVFiI2NFX83KSkpOOOMM7Br1y7s27cPeXl5mDx5MiQSiRjY02g0gz6O2Wx2KQeMiYlBSEgIr7+IfNCgMqPi4+MRFxc3rD9joe8M+Te5XI6MjAyUl5f3qIUfSUqlEpMmTcKxY8f6XEY4OjoagiCgtra239fKzMxEWVkZmpub8eqrr2LChAmwWCxjckWykpISVFRUYMqUKVCpVMN+nba2Nuzduxc1NTWYMmUK9Ho9L4T+v6ioKNjtdpfV84CuvlFNTU0ujfclEonYyNxqtboso22328W71QaDAWazGYIgsGcUERG5jTM76tRVlPsq1QsNDYVUKkVLS0ufr+nsYdQ9MyorKwsNDQ1+mRXlFBUVBYVC0aN35LJly8Sv169fL37tDEYNpfrg1GBUdHT0mG2NQOTrBpUZ9c0334z0OIi8WlBQEFJTU5Gfn4+goCCPlQlptVpER0cjPz8fU6dO7RHskEqlSExMRGlpKaKiovoNhpwaeDKbzX55Z64/paWlOHnyJKZMmTLsgIbD4UBpaSlKS0uRkJAAo9HY553RsUoqlSIuLg7l5eUudztVKhWUSiWamppcmrsvWLAAf/3rXwEAW7ZsES9aKysrxd5Tzn5RAE4rm42IiOhURqMRu3fvhl6vF29UjRs3DtnZ2fj5559x8OBBHDx4EBkZGZBIJNBoNKirq0N4eHivr9fR0QGlUonc3FwAXYvEqNVqHD58GBMnTvTUj+VxzuyoI0eOIC4uTmwBccMNN4htXt5++208/fTTkMlkCAsLg8PhQGtrK9Rq9aCOYTabXYJdERERLN8n8lH8BEU0SFqtFomJicjLy4PVavXYccePHw+73e7SyLm72NhYWCyWAZtpnspsNo+pzKiTJ0+itLQUmZmZw76D5syGqq2txdSpUzFu3DgGovoQHx+PhoYGl6w+5wX8qf9Ws7OzERcXB6BrtR3n3ebeVtKTy+Vj6t8tERGNvKCgIERFRfXIjlq8eLH4dffsqP5WgrNarbBarSgvLxdvokyZMgUmkwlms7nPAJa/0Gg0UKlUOHnypLhNq9Xi0ksvBQBUVFTg22+/BdB188oZ2BusU4NRarWamVFEPoqfooiGwGAwICQkBIcOHfJYQ3OZTIbU1FSUlZX12uRRJpMhISEBJSUlQxrTWCrTq6iowIkTJ5CZmTmsfkMOhwPFxcXYu3cvIiMjMX36dPYtGoBSqYRWq+2Rqq/RaHqU70mlUlxzzTUAui4yP/nkEwCuK+kZDAa0trYiKCiI5ZBEROR2BoMBNTU1LjdRrrvuOjG7Z+PGjeLKbxERETCbzS4rxDq1t7dDqVTi4MGD4rapU6eisbERYWFhfr9gjDM7qqyszOXmbV+NzAfTEL47s9ksBrqcvakYjCLyTQxGEQ2BRCJBSkoKrFYrioqKPHbckJAQjB8/Hvn5+b1mZcXHx6Ojo2NIK5KMlTK9qqoqFBUVITMzc9Ap4N2dmg2VlJTEbKhB0ul0qKysdOkRFR4eDpPJ1GMZ7d5W1et+h9poNKK9vZ39ooiIaEQEBQUhOjra5b0nKioKc+fOBQCUlZXhxx9/BNB1IzA8PLzX7Ki+VtI7dYEOfxYREYHQ0FCUlZWJ2y6//HIxK2zLli1oa2sD0HWTymQy9RrY601LS4vYMyoxMREqlcrvA3xE/oqfqIiGSC6XY/LkyaiqquqxfO1Iio+PR0hICAoKCnpkQMnlciQkJPRYmrg/Y6FMr7q6GseOHcPkyZMRFhY2pOcyG+r0hYWFQalUujQalcvlUKvVPUr1zj33XERFRQEAPvvsM7S3t/dapse7n0RENFKc2VHdAyN9NTKPjIzsNaOnt5X0xlowCgCSkpJQXl4Oi8UCoKvf4/XXXw+g63e0bds2AF3XBc7Vdgdit9tRXl4ufu+8NiYi38RgFNEwqFQqpKWl4dixY2htbfXIMZ1ZWS0tLaisrOzxuE6nQ0tLS7+ruzjZ7XbYbLYRC0YJgoCamhrk5+fj2LFjKCkpQWVlJerr69Ha2orOzk4x1X2k1NbWoqCgAOnp6UO++GM2lHtIJBLodDqUl5e7BFB76xslk8nEUj2TyYTPPvusRzDKZDLxopOIiEaMSqVCTEyMy/vPVVddJWblvv/++2JwJTIyEi0tLT0y1k/NjIqKihLfu8bSTS21Wo3w8HCXG6WnW6pnsVhcbgTHxMTwJhWRD+OnK6Jh0mg0MBgMyMvLEy9MRppCoUBqaiqKiorQ3t7e47H4+PhBZUdZLBZIJBIoFAq3jk8QBDQ0NGDPnj0oLCxEYGAgJBIJ2tvbUVNTg+PHjyM3Nxc7duzAf//7X/z444/YuXMn9u/fj0OHDvUIXLW0tAwrcFVXV4f8/Hykp6e7rOY2EGZDuV9MTAw6OztdgqTOvlGnzuu1114rfr1582axZ1RQUJDYn2M4pZZERESDZTAYUFtbK2ZHhYSEYP78+QCAxsZGfP755wC6Mn2Cg4N73Fxpb29Hc3MzamtrAXT1i2pqakJ4ePiY63mYlJSEiooKsTT/rLPOwrhx4wAAX3/9tZjl5AzsDXQ9bTabXYJWWq2WN6mIfJh8tAdA5MsSExPR1taGQ4cOISsryyPZMxEREdDpdDh8+DCmT5/ucsyEhATk5OSgra2t3zdnZ78od14UtbS04Pjx42hra4PBYEB8fHyfNfyCIMBiscBqtcJisbj8cfa+cn7vvOMol8sREBAAhUKBgIAAlz/dt7W3tyM/Px+pqamIjIwc9Pjb2tpw5MgRCIKAqVOnMgjlJjKZDLGxsSgvLxdLJUNCQiCVStHS0uKyqtAFF1wgZk395z//EXtNGQwGWCwW2O123gElIqIRFRgYiJiYGBQXFyMtLQ1A16p6GzduBNBVqnfllVcC+F+pXkxMDICuzHOz2YyjR4+Kr+cs0XOWoo8lISEh0Gq1KCkpwaRJkyCRSLBs2TI8+uijEAQBGzZswB/+8AcolUqEhoaivr5eXF23N2az2aX0X6PR8LqAyIcxGEV0GiQSCSZNmoR9+/ahsLAQycnJHjmu0WhEY2MjioqKMHHiRHG7UqlEbGwsSktLxQuo3rhzJb329nacOHECjY2NSEhIwOTJkyGX939qkUgkUCqVgxqDIAg9glbO77sHrpzbnOWMg73oczgcKC0tRWlpKRITE2EwGFiS52Y6nQ47d+4U+5RJJBIxO6p7MEqhUGD+/Pl48803XTL/DAaDeIdapVJ5evhERDTGGAwG7Ny5E+3t7QgODsbFF18slpJ99NFHaGlpgVqthlarxf79++FwOCCVStHR0QGFQoG8vDzxtbKystDc3IxJkyaN4k80eoxGI3bv3o3ExEQEBQVhyZIlePTRRwF0lerdf//9kEgkYmBvoGBU9zK9+Ph4BAYGjvSPQEQjhJ+4iE6TTCbD5MmTUVtb22MZ+5EilUqRlpaGqqqqHg0f9Xo96urqXJYmPpU7VtLr7OzEkSNHsGfPHiiVSsyaNQtJSUkDBqKGSiKRICAgACEhIdBoNIiNjUViYiLGjx+P1NRUZGVl4YwzzsBZZ52F888/H+ecc454h3Igra2t2LNnD3tDjTCVSoWIiAiXXmcRERE9ShsA11X1nJzNy+Vyud833SciotEXGBiI2NhYsVxcoVCIzbc7OzvF5tshISGQyWRobm4GAHHV1+4r6Y0bNw5KpXLMBk2CgoLETDMAGD9+PM4++2wAwKFDh8TflVarRWNjo8sKvKcym83itYREIsG4cePGXOkjkT/hpy4iNwgMDER6ejoKCwvFC5KRplKpMHHiRBw5cgRms9llLFFRUf32jjqdlfQsFgsKCwuxc+dOCIKAM844AxMnTjzt4JY7SCSSQS3v63A4cOLECezbtw9arZa9oTxAp9OhoqJC7BOl0WjQ2traoz/E7Nmze6x8aDQa0dLSApVKxYtOIiLyCL1ej/r6erS1tQHoKtVzcq6q58zocd4YPLV5eVBQEDQaDSIiIsb0+5fBYEBdXZ34u1y2bJn4mLOReVBQEJRKZa83qpzMZjNOnjwJoKsn5VhanZDIHzEYReQm4eHhGDduHA4dOuQSHBpJsbGx0Gg0Yq8jJ71ej+rq6j7HMZwyPZvNhuLiYuTk5MBkMmHatGlITU31ubIpZzZUfX09s6E8SKPRQCqVio1HndlujY2NLvsFBASIvTicDAaDeLeZiIjIEwIDAxEXFyeurHfmmWciKSkJQFfzbWe5mLO8TBAEdHR0wG63o6ioCACQmZmJlpaWMR80cf4undlRCxcuFG9ibty4ETabDRKJBFqttkfGf3eNjY1isCo+Pp79ooh8HD+BEbmRTqeDRqNBXl7ekFeAG66JEyfCZDKhrKxM3BYcHIzIyEiXbd0NpUzP4XDg5MmTyMnJQWNjIzIzM5GRkeFzq5d0z4aKiorCtGnTmA3lQRKJBDqdTlw5B4DYrPxUp5bqOcv0eNFJRESe1D07SiKRYNGiRQC6rik2bdoEoKvs3NnH0tlH0ykjIwNtbW1jPhgFdL2XNzY2isE5542nmpoafPnllwAgBqO632DtzhkYBIDo6GheFxD5OAajiNxIIpGITcyPHj3a55upO8nlcqSlpaG4uBitra3idr1ej4qKil6XyR1MmZ4gCKisrEROTg4qKyuRkpKCKVOm9Cih8gXds6GmTZsGo9HIbKhREBsbi9bWVjFN39nE/NT/J3PmzHEJdhqNRphMJp8LgBIRkW9TKpUuGT3dS/Wcq+vJZDJERESgtrYWJpMJR44cEfdJTk5GSEgIFAqFR8ftjQICAqDT6cRg3dKlS8XHnKV6arUaAHpteeFwOFxuskZFRfG6gMjH8dMYkZtJpVJMnjwZDQ0NHmtorlarYTAYcPjwYdhsNgBAaGgowsPDxdp6J0EQ+i3TEwQBtbW12LVrF0pKSjBu3DjMmDEDkZGRPtfvoLdsKF64jB6FQoGYmBgxO0qtVsNut7usnAd0pfPfdNNNAIBJkyYhJiYGJpOJmWxERORxer0eDQ0NaG1tRWpqKqZOnQoA2LVrF44dOwagq1SvoqICMpnMZSU9vV4PjUYzKuP2RomJiWhtbUVTUxPmzZsHrVYLAPjggw/Q3Nwsluo5S/q7s1gsLivpJSYmun3RHCLyLAajiEaAUqlEeno6ioqK0NTU5JFj6vV6KJVKFBYWitsMBgPKy8vFABXQ1fvJ4XD0WqbX2NiIvXv34tixY9DpdJg5cyZiYmKGFIRyOBxoaGjAkSNHsGvXLuzbtw95eXk4cuQIioqKUFJSgoqKCtTW1qKxsRFtbW3o7OyE3W53ayYZs6G8k06nQ3V1NaxWK6RSKcLDw3st1XvhhRfw2Wef4ccff4TdbofVamUwioiIPE6pVCI+Pr7X7ChnI/PIyEhYLBaX5uVSqRTR0dEs0etGoVAgMTERx48fh0KhwI033gigK2N/8+bNACAGo069JrRYLKipqRG/HzdunOcGTkQjguFkohESFhaGCRMm4NChQ5g+ffqIL+krkUiQmpqK3bt3o7q6GjExMQgLC0NISAjKy8thMBgAdL3hy2Qyl7tJra2tOH78OFpbW5GYmIiEhIRBrUrnJAgCGhsbUVtbi9raWshkMkRFRSEpKUkMJNhsNlitVrS3t4tfd//b+TMoFAooFArI5fJ+/+7+tVQqFQNmDocDJSUlKCsrg16vh16vZxDKi4SEhCA0NBRVVVVITEyERqNBbW0t9Hq9y36BgYGYN28egK50fUEQ2BuCiIhGhV6vx44dO9Da2oobbrgB999/PwRBwIYNG/DII49AqVQiNDQUcrkchw4dAtBVoieVSn2yvcFI0ul0OHnyJBoaGrB06VK88sorALpK9X75y18iPDwcFosF7e3tLtnsZrMZ1dXV4vcTJ070+NiJyL0YjCIaQfHx8Whra0NeXh6mTp06pADPcCiVSkyaNAlHjhyBWq2GSqWCwWBAfn6+GGDqXqLX0dGBEydOoL6+HjqdDmlpaYPuayAIApqamsQAlEQiQVRUFDIyMqBWq4eUTSUIQq8Bqu5/d3R0wGq19hvEksvlsNvtUCgULMnzYjqdDsePH0dCQgI0Gg0KCwtht9v7/P/R0tICuVw+5BUgiYiI3MHZ76i4uBgZGRm48MIL8c0336CwsBC7du3CzJkzxXYJVqsVAJCamoqwsDDeEDuFXC6HXq/HiRMnMH36dKSkpODIkSP473//i+LiYhiNRmg0GtTV1fUIRlVWVgLo6tM1YcKE0foRiMhNGIwiGmETJkzAgQMHUFBQgNTU1BHvu6TVahEdHY38/HxMnToVERERCAwMRGVlJRISEmA2myGVSlFQUIDq6mrExsZi1qxZg/qgLwgCmpubUVNT4xKASk9PR1hY2LB/tu4ZUUPhDGI5g1NWqxWCIECj0fDiz4tptVoUFhaioaEBkZGRCAwMRGNjo9g74lRtbW0IDAz0uZ5lRETkPxITE5GTk4OWlhYsXrwY33zzDYCuUr2ZM2dCq9Xi+PHj4v5JSUks0euDMzuqrq4Oy5Ytw0MPPQQAePvtt/HHP/4RWq0W5eXlMBqN4nPMZrPYizUqKooZZ0R+gJ/WiEaYVCpFeno6mpubezQTHynjx4+H3W5HcXExJBIJ9Ho9ysrKYDabceLECZSUlMBut2PGjBlITk7uNxDlzIA6duwYfv75ZzH9PD09HdnZ2Zg4cSLCw8NHJVDgDGKpVCqo1WpERkZCq9UyEOXlpFIp4uPjxUbmGo2m175RTq2trSzRIyKiUdU9O+qaa64Re29u2rRJzNTet2+fuH9iYiKDUX2QSqUwGAwoLi7GokWLxO3r1q2DIAiIjIwUe4o61dXVoaWlBUDX6rxBQUEeHzcRuRc/sRF5QEBAANLT03HixIl+P3S7i0wmQ2pqKsrKytDU1AStVguZTCb2O5g0aRLS0tL6fCN3ZkB1D0A5HA6kpqbirLPOQnJy8qgFoMg/xMXFobGxESaTCRqNBo2NjX3u297ezotOIiIadYmJieKqb5dffjkAoKamBl9//TUAiM3Lga6eUWwX0LfY2FgIggClUokLL7wQAHDs2DHs3LkTCoUCYWFhqK+vF/d3NpAHgISEBF6DEvkBBqOIPEStViM5ORmHDx+GyWQa8eOFhIRg/PjxyM/Ph81mQ1paGrKyshAfH4/w8PAe+zsDUIWFhdixYwcOHjwIh8OBlJQUnHXWWZg0aRIiIiL45k9uoVQqERUVhfLycoSHh6Ozs7PP/xenNjElIiIaDQqFQsyO6r6q3saNG+FwOMRgVFxcHIxGI6+Z+iGVSmE0GlFcXIwlS5aI29etWwfgf6vqOZWUlIhfdy/fIyLfxWAUkQfFxsYiNjYWeXl5YoPLkRQfH4+QkBAUFBQgODhYXKHEWZYnCAJaWlpcAlA2mw2TJk0SA1AajYYXUzQidDodqqqqAHStPtlX1qDJZEJoaKgnh0ZERNSrxMREtLS04Oyzzxb7Fm3duhWHDx8Wy8gmTpzIEr1BiI6Ohkwmw9lnnw2VSgWgq+zRYrEgMjISTU1NsNlsEAQBpaWl4vPGjRs3WkMmIjdiMIrIw8aPH4+goCDk5OTg5MmTcDgcI3YsiUSClJQUtLS0iCuQdHZ2wmq1oqioCDk5OcjNzYXNZkNycjLOOusspKSksAE4eYRarUZgYCCqq6v77BvlcDhgNpsZjCIiIq+gUCiQkJCAyspKLFiwAEDXQhtPPPGEuI/RaGQwahAkEgmMRiPq6+sxf/58AEBDQwM+/fRTqFQqBAUFob6+HlarVbx5BQCTJk0apRETkTvx0yaRh0kkEqSnpyMtLQ0VFRXYtWsX6urqIAjCiBxPoVAgNTUVRUVFOHr0KE6cOIGCggJYLBZMnDhRDEBFRkYyAEUeJZFIoNPpUF5ejoiICDQ1NfUIzppMJtjtdgajiIjIayQkJKCtrQ1XXXWVuO29994Tv05LS0NgYOBoDM3naLVaKJVKzJs3T9x2aqme2WxGdXW1+DiDUUT+gZ88iUaJRqPBGWecgYSEBBQUFODAgQNoa2sbkWNFRETAYDCgs7MTGo0G5557LlJTUxmAolEXHR0Ns9kMm80GmUwmljg4tbS0QCaT8aKeiIi8hjM7Kj4+HjqdrsfjM2bMGIVR+SaJRIKkpCTo9XrExsYCAP7zn/+gvr4eWq0WDQ0N6OzsFDOj5HI5e0YR+Ql+CiUaRc7MkFmzZiE0NBR79+4Vs5bcTa/Xw2g0Ijw8HHK53O2vTzQcMpkMcXFxqKio6LVUr7W1FSqVin3LiIjIqyQkJMBkMuHqq6922R4SEoKMjIxRGpVvioiIQFhYmLhCodVqxXvvvYeQkBDI5XJUVVWJ7Sbi4uIgk8lGc7hE5CYMRhF5AblcjvHjx+OMM86A1WpFTk4OSkpKYLfb3Xocs9mMgIAAt74m0emKj49HXV0dgoODew1GBQUFjdLIiIiIeieXy5GYmIizzjrLZfv48eOh0WhGaVS+SSKRYNy4cS6/y3Xr1kEikUCr1eLEiRNob28H0NVAnoj8A4NRRF5EpVJh8uTJyMjIQG1tLXbt2oWamhq39ZPqvpIekbdQqVTQaDTo7OxEW1ubS2Zge3s7g1FEROSVdDodEhISkJycLG5LT09nBvowhIWFYfr06WI/qB07duDYsWPQarUuzctZokfkPxiMIvJC4eHhmD59OoxGIwoLC7Fv374evXSGw2w2MxhFXkmn06G2thYhISEu2VEdHR0ICQkZxZERERH1Ti6XQ6/X4+KLLxa3sV/U8CUlJWH27Nni9+vXr0dYWBhqamrEbRMmTBiNoRHRCGAwishLSSQSxMbGYtasWYiIiMD+/ftx+PBhdHZ2Dvs1WaZH3ioiIgIymQxSqbRHMIor6RERkbfS6XSYP38+rr32WsybNw+LFy8e7SH5rNDQUCxcuFBcXGf9+vUA4LLS7sSJE0dlbETkfswhJfJyMpkMSUlJiIuLw4kTJ7Bz504kJiZCr9cPuYGjxWJBeHj4yAyU6DQ4m/mXlJTAZDKJpakmk4nBKCIi8lpyuRzJycm49957YbPZoNVqR3tIPu2MM87A9OnTsWvXLhQXF2P79u0umVHjxo0bxdERkTsxM4rIRwQGBiI1NRVTpkxBY2MjcnJyUFlZOaR+UsyMIm8WGxsLm80Gk8kk9o6yWq1Qq9WjPTQiIqI+6XQ6OBwOhIWFiVk9NDzBwcFYsGCB+P26detQXFwsfs+eUUT+g2dLIh+jVqsxdepUTJgwASUlJdizZw+ampoG9Vz2jCJvJpfLERsbC4fDgYaGBrS2tkImk7GBOREReTWZTIaUlBTo9frRHopfuPXWW6FSqQAA7733Ho4cOQIACAgIQGxs7GgOjYjcyGuDURaLBc8//zzOOeccZGZmYuHChdi+ffugnltdXY27774bM2bMwLRp03DHHXegrKxshEdM5DkSiQTR0dGYOXMmoqOjcfDgQeTl5cFkMvX5HLvdDrvdzmAUeTWdTger1Yra2lq0tLQgMDAQEolktIdFRETUr8jISLZCcBOtVotLLrkEANDS0oKioiIAQGJiIjPPiPyI1/5vXrlyJdauXYsrrrgCDz/8MGQyGW677Tbs3r273+e1t7dj2bJl2LVrF1asWIHf/va3yM/Px5IlS9DY2Oih0RN5hlQqhV6vx6xZs6BQKLBr1y4UFhbCZrP12NdsNkMqlXK5YfJqISEhiIqKQkVFBZqamsQ7o0RERDR2/OpXv+qxjf2iiPyLVwajcnNz8cknn+D3v/89HnjgAVx//fX497//jfj4eLzwwgv9Pnfjxo0oLi7GP//5T/zqV7/CzTffjDVr1qC2thZvvfWWh34CIs8KCAjApEmTMG3aNLS3tyMnJwfl5eUu/aSc/aKYZULezmg0orOzE1VVVSzRIyIiGoPmzJmDuLg4l21JSUmjNBoiGgleGYz6/PPPIZPJcP3114vblEolFixYgH379qGysrLP537xxRfIyMhAZmamuG38+PHIzs7GZ599NqLjJhptISEhyMzMREpKCk6ePIldu3ahvr4eQFfpK0v0yBdotVqoVCrU19cjJCRktIdDREREHiaVSrF06VKXbcyMIvIvXhmMys/Ph9Fo7PEhxBlgys/P7/V5DocDBQUFmDx5co/HMjIyUFpaira2NvcPmMiLSCQSREZG4owzzkB8fDzy8/ORm5uLpqYmrqRHPkEqlcJgMMButzMYRURENEbdfPPNLt9zJT0i/+KVwaja2lpERUX12O7cVlNT0+vzmpqaYLFYhvVcoCtzpK2trdc/HR0dw/lRiEaNVCpFQkICZs2ahaCgIFRVVSEwMHC0h0U0KBMnToRUKkVoaOhoD4WIiIhGQWpqKqZPny5+z2AUkX/xyk7GnZ2dvWZwOEuMOjs7e32e2WwGgH6f69ynN//617/w6quvDnm8RN5MoVBgwoQJSEhIgEwmG+3hEA2KSqXCvHnzoNVqR3soRERENEoeeeQRzJ8/HxkZGS6BKSLyfV4ZjAoMDITFYumx3RlI6iu7wxlw6u+5/fXMWbFiBW655ZZeH3OuyEfkq5gVRb4mOjp6tIdAREREo+iKK65Ac3MzVCoVb6oS+RmvDEZFRUWhurq6x/ba2loAfX9ACQ8PR0BAgLjfUJ4LdGVU9dVThys6EREREREReRb7RxL5J6/sGZWSkoLi4uIezcYPHDgAoKt+uDdSqRTJycnIy8vr8Vhubi4SExN5MiMiIiIiIiIiGkVeGYyaN28e7HY73n33XXGbxWLB1q1bkZWVhbi4OABARUUFioqKXJ47d+5cHDx4EAcPHhS3HT9+HDt27MC8efM88wMQEREREREREVGvvLJMLysrC/PmzcNLL72E+vp6GAwGbNu2DeXl5XjqqafE/R544AHs3LkTBQUF4rZFixbh/fffx4oVK3DrrbdCLpdj7dq1iIyMxK233joaPw4REREREREREf1/XhmMAoDnnnsOf/3rX/HRRx+hubkZkyZNwj//+U+cccYZ/T4vJCQE69evx9NPP43XXnsNDocDs2bNwoMPPgiNRuOh0RMRERERERERUW8kgiAIoz0IX3Do0CFcc8012Lp1K9LT00d7OEREREREREREPskre0YREREREREREZF/YjCKiIiIiIiIiIg8hsEoIiIiIiIiIiLyGAajiIiIiIiIiIjIYxiMIiIiIiIiIiIij2EwioiIiIiIiIiIPEYiCIIw2oPwBSaTCcePH8e4ceOgUqlGezhERERERERERD6JwSgiIiIiIiIiIvIYlukREREREREREZHHMBhFREREREREREQew2AUERERERERERF5DINRRERERERERETkMQxGERERERERERGRxzAYRUREREREREREHsNgFBEREREREREReQyDUURERERERERE5DEMRhERERERERERkccwGEVERERERERERB4jH+0B+DuTyYTjx4+P9jCIiIiIiIiIiAZl3LhxUKlUI/b6DEaNsOPHj+Oaa64Z7WEQEREREREREQ3K1q1bkZ6ePmKvLxEEQRixVye3Z0Z1dHRgyZIlePvttxEUFOS21yXP4jz6F86n/+Bc+j7OoX/hfPoPzqV/4Dz6F86n/xiJuWRmlI9TqVRujSa2tbUBAFJTUxESEuK21yXP4jz6F86n/+Bc+j7OoX/hfPoPzqV/4Dz6F86n//DFuWQDcyIiIiIiIiIi8hgGo4iIiIiIiIiIyGMYjCIiIiIiIiIiIo9hMIqIiIiIiIiIiDyGwSgiIiIiIiIiIvIYBqN8TEBAAO68804EBASM9lDoNHAe/Qvn039wLn0f59C/cD79B+fSP3Ae/Qvn03/44lxKBEEQRnsQREREREREREQ0NjAzioiIiIiIiIiIPIbBKCIiIiIiIiIi8hgGo4iIiIiIiIiIyGMYjCIiIiIiIiIiIo+Rj/YAfElubi4++OAD5OTkoLy8HOHh4cjKysI999yDpKQkl32Liorw9NNPY+/evVAoFDj//PPx4IMPQqPRuOyzZcsWbN++HaWlpQgODkZaWhruuusuZGRk9Dh+dXU1nn76aWzfvh0OhwOzZs3CQw89hMTExEGN3+FwYM2aNXjnnXdQW1sLo9GIFStW4PLLL+/xc27duhW5ubkoKCiAzWZDQUHBMH5j3mmszOPKlSuxbdu2Hs9PSkrC559/Pqhj+YKxMp8A8Pbbb2PDhg0oKytDREQELr30Utx9990ICgoa4m/NO43mXB4/fhybNm1Cbm4uDh06BIvFgq+//hoJCQlD+hnef/99vPnmmzh58iTi4uKwdOlSLF26dESO5a3Gyjy+8sorePXVV3s8NyAgAAcPHhzS8bzZWJlPAPjkk0/wxhtvoLCwEMHBwfjFL36B++67z2X8vmw05/LLL7/Ep59+ioMHD6Kurg6xsbG48MIL8etf/xpqtXrQP8NYP8eOlTnk+dW/5hPg+bU7d8/l//3f/2HTpk0oKChAU1MTNBoNpkyZgjvvvBPJycmD/hlG4/zK1fSG4Le//S327t2LefPmYdKkSaitrcWGDRvQ0dGBd999V5zsqqoqzJ8/H6GhoVi6dCk6Ojrw5ptvIi4uDu+//7643OKqVauwefNmzJkzB5mZmWhtbcW7776L8vJyvPHGGzjrrLPEY7e3t+Oaa65Ba2srbrnlFigUCqxduxaCIOCDDz5ARETEgON/8cUXsXr1alx33XXIyMjA119/je+++w4vvfQSLrvsMnG/V155Bf/617+QnJyM9vZ2FBcX+1UwaqzM48qVK/HJJ5/gySefdHl+aGgofvGLX7jjV+kVxsp8Pv/883jjjTcwd+5cZGdno6ioCO+88w7OPPNMrFmzxs2/1dExmnO5detWPPzww5gwYQJkMhny8/OH/Oa6adMmPPLII5g7dy7OOecc7N69Gx9++CHuvfde3HbbbW49ljcbK/Po/LD06KOPugSEZTJZr8FkXzVW5nPjxo147LHHkJ2djYsvvhjV1dVYt24d9Ho93n//fSiVSjf9RkfPaM7lrFmzEB0djYsuugjx8fEoKCjApk2bkJiYiG3btiEwMHDA8fMcO3bmkOdX/5pPnl9Hdi5fffVVFBUVITU1FREREairq8OWLVtQW1uLd999FykpKQOOf9TOrwIN2p49ewSz2eyy7cSJE8LkyZOFe++9V9z2yCOPCJmZmUJ5ebm4bfv27UJycrKwadMmcdvBgweFtrY2l9draGgQzjzzTOGGG25w2b569WohOTlZOHDggLitsLBQSE1NFV588cUBx15VVSWkp6cLjz32mLjN4XAIixYtEs477zzBZrOJ22trawWTySQIgiA89thjQnJy8oCv70vGyjw+8MADwpQpUwZ8TV83FuazurpaSEtLE+6//36X569fv15ITk4Wvv766wGP5QtGcy4bGxuF1tZWQRAE4Y033hCSk5OFsrKyQY/dZDIJM2fOFG677TaX7ffee68wZcoUoampyW3H8nZjZR5ffvllITk5Waivrx/06/uisTCfZrNZmDFjhrB48WLB4XCI+33zzTdCcnKysG7dukEf05uN5lzu2LGjx3i2bdsmJCcnC++9996AY+c5tstYmUOeX/1nPnl+Hfm57E1tba2QlpYm/OlPfxpw39E8v7Jn1BBMmzZNjFY6GY1GTJw4EcePHxe3ffnll7jgggsQHx8vbjvrrLNgNBrx2WefidsmT56M4OBgl9eLiIjAjBkzXF4PAL744gtkZGQgMzNT3DZ+/HhkZ2e7vGZfvvrqK1itVixatEjcJpFIcOONN6Kqqgr79u0Tt2u12kFFw33VWJlHJ7vdjra2tgFf21eNhfncv38/bDabS6YUAFx66aUAulKf/cFozmV4eDhCQkKGPfacnBw0NTW5zCUALF68GB0dHfjuu+/cdixvN1bmsbu2tjYIfppoPhbm89ixY2hpacEll1wCiUQi7nfhhRciKCiI51ic/lzOmjWrx3guuugiAF3lKAPhObbLWJnD7nh+9e355Pl15OeyN5GRkQgMDERra+uA+47m+ZXBqNMkCALq6urEcpzq6mrU19dj8uTJPfbNzMxEfn7+gK9ZW1uL8PBw8XuHw4GCgoJeXzMjIwOlpaUDBhvy8/MRFBSE8ePH9xiT8/GxzF/n0WQyYfr06Zg+fTpmzpyJxx57DO3t7QOO3df523xaLBYA6JHGrFKpAACHDh0acPy+yhNz6Q6HDx8GgB7jSk9Ph1Qq5TnWj+dx9uzZmD59OqZNm4b77rsPdXV1bh2TN/K3+XSeY3u7ERcYGIj8/Hw4HA63js1bjOZcOv+vDKaknefYvvnzHPL86vvzyfOr5+aypaUFDQ0NKCgowMMPP4y2tjZkZ2cP+JqjeX5lMOo0ffTRR6iursYll1wCAKipqQEAREVF9dg3KioKTU1N4n/K3uzevRv79+8XMx4AiM/p6zW7H7cvtbW1iIyMdIlID+X5/s4f5zEqKgrLly/H008/jZdeegm/+MUvsHHjRixfvhw2m63f4/g6f5tPZ+PDvXv39hgX0PXm5q88MZfuUFtbC5lMhsjISJftAQEBCA8P5znWD+dRrVZjyZIlePzxx/Hyyy9jwYIF+Oyzz7B48WK/zkYF/G8+DQYDJBJJj3Ps8ePH0dDQgM7OTjQ3N7t1bN5iNOfy9ddfh0wmw9y5cwfcl+fYvvnjHPL86j/zyfOr5+byuuuuQ3Z2Nq688kp89tlnuOOOO7BgwYIBxzma51eupncaioqK8Pjjj2Pq1Km4+uqrAQBmsxkAeqTpAf/Laujs7Oz18fr6etx7771ISEjA8uXLxe2DeU3nPn3p65jdxzRW+es83nvvvS77XHbZZTAajfjLX/6CL774okfJl7/wx/lMT09HVlYWXn/9dcTExGDWrFkoKirCY489BoVCMeBxfJWn5tIdOjs7oVAoen1MqVTyHOuH83jTTTe5PD537lxkZmbivvvuw8aNG10afvoTf5xPjUaDSy65BB988AHGjx8vNth94oknoFAoYLVa/fI8O5pz+fHHH2Pz5s1Yvnw5jEbjgGPlObZ3/jqHPL/6z3zy/Oq5uXzmmWfQ1taGsrIybN26FWazGXa7HVJp//lHo3l+ZTBqmGpra7FixQqEhobib3/7G2QyGYD//UPqLarp/AfYW5piR0cHVqxYgfb2dmzcuNGlRnQwr+ncp7a21uXx0NBQBAYGIjAwcMhjGgvG2jzefPPN+Nvf/oaffvrJL4NR/jyfr7zyCu655x489NBDALpWlLn55puxa9cunDhxotffhy/z5FwORUNDA+x2u/h9UFAQgoODERgYCKvV2utzzGYzz7FjZB6vuOIKrFq1Cj/99JNffljy5/l8/PHH0dnZiVWrVmHVqlUAgCuvvBJ6vR5ffvmly4pe/mA053L37t14+OGHcc455+B3v/udy2M8xw7eWJtDnl99dz55fvXMXE6dOlX8+rLLLhMzqB544AEA3nl+ZTBqGFpbW/GrX/0Kra2t2LBhA2JiYsTHoqOjAfT88OncFh4e3iPaabFYcNddd6GgoABr1qwRl350cj6nr9fsftxzzjnH5fFnnnkG11xzDaKiopCTkwNBEFxKgk59/lgyFucxMDAQ4eHhfpkO6+/zGRMTg3feeQfFxcWoq6uDwWBAVFQUzjnnnEHdwfIlnp7LoViwYAHKy8vF7++8807cddddiIqKgt1uR319vUuas8ViQVNTE8+xY2geY2NjeY7txlfmMzQ0FK+99hoqKipQXl6O+Ph46HQ63HDDDdBoNFCr1cMen7cZzbk8cuQI7rjjDkycOBEvv/wy5HLXjyI8xw7OWJ1Dnl9d+cp88vzaxZPvlWFhYTjzzDPx8ccfi8Eobzy/Mhg1RGazGbfffjuKi4vx1ltvYcKECS6Px8TEQKPRIC8vr8dzc3NzkZKS4rLN4XDggQcewM8//4y//vWvmDlzZo/nSaVSJCcn9/maiYmJYlf7t956y+Vx5/hSU1Px/vvvo6ioyGXMBw4cEB8fS8bqPLa1taGxsREajabf/XzNWJpPo9EoBp8KCwtRW1uLa665psd+vmo05nIonn/+eZd08sTERAD/m6u8vDycf/754uN5eXlwOBw9xuXvxuo8CoKA8vJypKWlndb4vM1Yms/4+HhxlaOWlhbk5eUNqn+KrxjNuSwtLcXy5cuh0Wjw+uuv93p3n+fYgY3VOeT51ffnk+dXz75XdnZ2uqym55XnV4EGzWazCbfffruQlpYmfPfdd33u9+c//1nIzMwUKioqxG0//fSTkJycLGzcuNFl30cffVRITk4WNm3a1O+x//WvfwnJyclCbm6uuK2oqEhITU0Vnn/++QHHXllZKaSnpwuPPfaYuM3hcAiLFi0Szj33XMFms/X6vMcee0xITk4e8PV9yViYx87OTqG1tbXH81etWiUkJycLX3755YDH8hVjYT57Y7fbhdtuu03IysoSysvLBzyWLxjNuezujTfeEJKTk4WysrJBP8dkMgkzZ84UVqxY4bL9vvvuE7KysoTGxka3HcvbjZV5rK+v7/H8t99+W0hOThbeeuutQR/T242V+ezNn//8ZyElJUU4cODAoI/pzUZzLmtqaoTZs2cL55xzzrDOdzzHdhkrc8jzqytfn8/e8Pzqvrmsq6vrsa2srEyYOnWqsGjRogHHPprnV4kgCMLIhbr8y1NPPYV169bhwgsvFLvid3fVVVcBACorKzF//nyo1WosW7YMHR0dWLNmDWJiYrBlyxYx/W7t2rV45plnMHXqVNx44409Xu/iiy8Wa2jb2tpw9dVXo729HbfeeivkcjnWrl0Lu92ODz/8cFCZLs899xzWrFmD66+/HhkZGfjqq6/w3Xff4YUXXsAVV1wh7ldeXo4PP/wQAPDdd9/hwIEDuPvuuwF0RbTnz58/tF+clxkL83jy5ElcffXVuOyyyzBu3DgAwI8//ojvv/8e5557LlavXj1gMztfMRbmEwCefPJJWCwWpKSkwGaz4T//+Q9yc3Px7LPP+vz/SafRnMvW1lasX78eQNeqhT/88ANuvfVWhIaGiqv6DGTDhg14/PHHMXfuXJx77rnYvXs3PvjgA/zud7/D7bffLu7njmN5s7Eyj1lZWbj00kuRnJyMgIAA7N27F5988glSUlLwzjvvQKVSDf2X54XGynyuXr0aR48eRVZWFmQyGb7++mv8+OOPuOeee3DHHXcM/RfnhUZzLq+66iocOXIEy5cv71FmotVqcfbZZw84fp5jx84c8vzaxV/mk+fXkZ3Ls846C9nZ2UhJSUFYWBiKi4uxZcsWmEwmrF27FtOmTRtw/KN1fmUwagiWLl2KnTt39vl4QUGB+PWxY8fw7LPPYs+ePVAoFDj//POxcuVKaLVacZ+VK1di27Ztfb7e119/jYSEBPH7qqoqPP3009i+fTscDgdmzZqFBx98EAaDYVDjdzgceP311/Huu++ipqYGRqMRt912G6688kqX/XJycrBs2bJeX2PmzJniP0BfNRbmsaWlBU888QQOHDiAmpoa2O12GAwGXHHFFbj11lv7XDHBF42F+QSArVu34t///jdKS0shkUiQmZmJ22+/HWeeeeagjuMLRnMuT548idmzZ/e6n06nwzfffDOon+G9997Dm2++iZMnTyIuLg6LFy/GTTfd5NITzF3H8lZjZR7/+Mc/Yt++faisrITFYkF8fDzmzJmD22+/XSzR9QdjZT6/++47/P3vf0dRUREcDgcmTZqEm2++udcPFb5qNOdy0qRJfe43lGvLsX6OHStzyPNrF3+ZT55fR3YuX3nlFXz33XcoKytDe3s7NBoNzjjjDKxYsaLfeT7VaJxfGYwiIiIiIiIiIiKP8Y86HSIiIiIiIiIi8gkMRhERERERERERkccwGEVERERERERERB7DYBQREREREREREXkMg1FEREREREREROQxDEYREREREREREZHHMBhFREREREREREQew2AUERERERERERF5DINRRERERERERETkMfLRHgARERGRv5g0adKQnzNz5kysX78eS5cuxc6dO7Fu3TrMmjVrBEZHRERE5B0YjCIiIiJyk6uvvrrHttraWvz44499Pj5u3LgRHxcRERGRN5EIgiCM9iCIiIiI/FVOTg6WLVsGACgoKOhzv4qKCphMJsTHx0OlUnlqeEREREQex8woIiIiIi8QHx8/2kMgIiIi8gg2MCciIiLyAkuXLsWkSZOQk5Pjsn3lypWYNGkStm7diuPHj+Oee+5BdnY2pkyZgmuvvRZfffWVuO+BAwdw++2348wzz0RmZiauv/56/Pzzz30es7OzE2+++Sauu+46zJgxAxkZGZg7dy6ee+45NDY2jtjPSkRERGMbg1FEREREPuDw4cO49tprceTIEWRnZyMlJQV5eXm488478fnnn+Orr77C4sWLUV1djezsbCQlJWH//v1Yvnw5du/e3eP1qqursXDhQqxatQolJSXIyMjA+eefD6vVijVr1uDaa69FeXn5KPykRERE5O9YpkdERETkA9avX4977rkHt99+OyQSibjtySefxDPPPAOTyYQnn3wS8+fPF5/z9NNP49///jf+/ve/46233hK3C4KAe+65B0ePHsWCBQvw4IMPIiQkBABgs9nw4osv4s0338SDDz6IdevWefTnJCIiIv/HzCgiIiIiH5CZmekSiAKAG2+8EeHh4aiqqkJ2drZLIAoA7rjjDgDArl27YLVaxe0//PAD9u7di9TUVDz22GNiIAoA5HI57r//fiQnJyMnJwdHjx4d2R+MiIiIxhwGo4iIiIh8wHnnnecSiAK6Akc6nQ4AcP755/d4TkREBMLDw2G1WtHU1CRu//777wEAc+bMgVzeM1FeKpVixowZAIB9+/a560cgIiIiAsAyPSIiIiKfEBcX1+v24ODgAR9vamqC2WwWt5WVlQEA/va3v+Fvf/tbv8dtaGgYznCJiIiI+sRgFBEREZEPkEr7T2gf6PHuHA4HAGD69OnQ6/X97jtx4sRBvy4RERHRYDAYRURERDTGOLOoZs+ejV/+8pejPBoiIiIaa9gzioiIiGiMOe+88wAAn3/+OQRBGOXREBER0VjDYBQRERHRGDN79mxkZGQgNzcXDz74YK99oZqbm/HOO+/AZrONwgiJiIjIn7FMj4iIiGiMkUql+Pvf/44VK1Zg27Zt+OKLLzBp0iTEx8fDarWirKwMR48ehd1uxzXXXNPrintEREREw8UrCyIiIqIxKCYmBu+99x62bt2KTz/9FAUFBTh48CDCwsIQHR2NG264Ab/4xS+gVCpHe6hERETkZyQCGwUQEREREREREZGHsGcUERERERERERF5DINRRERERERERETkMQxGERERERERERGRxzAYRUREREREREREHsNgFBEREREREREReQyDUURERERERERE5DEMRhERERERERERkccwGEVERERERERERB7DYBQREREREREREXkMg1FEREREREREROQxDEYREREREREREZHHMBhFREREREREREQew2AUERERERERERF5zP8D2ssyl8xEYKQAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('white')\n",
+    "fig, ax = plt.subplots(figsize=(12, 4))\n",
+    "\n",
+    "# Plot the raw data with subtle colors\n",
+    "for metric, group in df[df['Label'] == 'Data'].reset_index().groupby('Metric'):\n",
+    "    ax.plot(group['Time'], group['Normalized Value'], color='gray', alpha=0.5, linewidth=0.8, label='_nolegend_')\n",
+    "\n",
+    "# Plot the factor with a contrasting color and thicker line\n",
+    "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "\n",
+    "# Customize the plot appearance\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['left'].set_position(('outward', 10))\n",
+    "ax.spines['bottom'].set_position(('outward', 10))\n",
+    "ax.tick_params(direction='out', length=6, width=0.8)\n",
+    "ax.tick_params(axis='y', which='both', left=True, right=False)\n",
+    "ax.tick_params(axis='x', which='both', bottom=True, top=False)\n",
+    "ax.set_xlabel('Time', fontsize=16)\n",
+    "ax.set_ylabel('Normalized Value', fontsize=16)\n",
+    "\n",
+    "# Minimalist legend placement\n",
+    "ax.legend(frameon=False, loc='upper right')\n",
+    "\n",
+    "# Add labels\n",
+    "ax.set_xlabel('Time')\n",
+    "ax.set_ylabel('Normalized Value')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "py3.10",
+   "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": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From f63a424b2f6cf635289636b9f2f105c66521398c Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 17:38:22 -0700
Subject: [PATCH 06/15] Update figures

---
 reports/figures/Final.csv     | 1453 +++++++++++++++++++++++++++++++++
 reports/figures/figures.ipynb |   23 +-
 reports/figures/imgs/1.png    |  Bin 0 -> 155939 bytes
 reports/figures/imgs/2.png    |  Bin 0 -> 264864 bytes
 reports/figures/imgs/3.png    |  Bin 0 -> 107395 bytes
 5 files changed, 1473 insertions(+), 3 deletions(-)
 create mode 100644 reports/figures/Final.csv
 create mode 100644 reports/figures/imgs/1.png
 create mode 100644 reports/figures/imgs/2.png
 create mode 100644 reports/figures/imgs/3.png

diff --git a/reports/figures/Final.csv b/reports/figures/Final.csv
new file mode 100644
index 0000000..fd58185
--- /dev/null
+++ b/reports/figures/Final.csv
@@ -0,0 +1,1453 @@
+Time,State,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+1/1/2012,CT,238073.021,15285.2394,31050.91469,105935.1728,46336.1541,0,0,0,0,0,,,,,,,
+2/1/2012,CT,238702.9317,15278.43354,31023.35627,105961.8096,46301.78981,0,0,0,0,0,,,,,,,
+3/1/2012,CT,239406.8281,15276.55788,31005.86554,106022.3342,46282.42342,0,0,0,0,0,,,,,,,
+4/1/2012,CT,239745.559,15283.71351,31006.74904,106145.3014,46290.46255,0,0,0,0,0,,,,,,,
+5/1/2012,CT,240668.2439,15328.09879,31083.16458,106526.8143,46411.26337,0,0,0,0,0,,,,,,,
+6/1/2012,CT,241442.7706,15363.02455,31140.37551,106842.7044,46503.40006,0,0,0,0,0,,,,,,,
+7/1/2012,CT,241584.0853,15384.70858,31170.74393,107066.5146,46555.45251,0,0,0,0,0,,,,,,,
+8/1/2012,CT,241003.081,15360.34641,31107.8691,106969.6061,46468.21551,0,0,0,0,0,,,,,,,
+9/1/2012,CT,240500.2042,15340.88305,31055.00154,106906.3499,46395.8846,0,0,0,0,0,,,,,,,
+10/1/2012,CT,240226.6655,15322.45034,31004.30088,106849.8432,46326.75123,0,0,0,0,0,,,,,,,
+11/1/2012,CT,240827.6596,15359.80048,31066.50498,107182.1689,46426.30547,0,0,0,0,0,,,,,,,
+12/1/2012,CT,241304.6633,15389.2418,31112.70168,107459.366,46501.94348,0,0,0,0,0,,,,,,,
+1/1/2013,CT,240106.2968,15408.78288,31098.28979,107458.2701,46507.07267,0,0,0,0,0,,,,,,,
+2/1/2013,CT,238499.2157,15401.55799,31030.15804,107271.2774,46431.71603,0,0,0,0,0,,,,,,,
+3/1/2013,CT,238081.0311,15470.88287,31116.37944,107617.7702,46587.26231,0,0,0,0,0,,,,,,,
+4/1/2013,CT,238076.5903,15532.07719,31186.13621,107907.4206,46718.2134,0,0,0,0,0,,,,,,,
+5/1/2013,CT,237730.3897,15570.98307,31211.13421,108042.207,46782.11728,0,0,0,0,0,,,,,,,
+6/1/2013,CT,237028.1938,15586.39902,31189.19666,108014.3834,46775.59568,0,0,0,0,0,,,,,,,
+7/1/2013,CT,237509.9815,15615.91057,31195.64431,108084.6998,46811.55488,0,0,0,0,0,,,,,,,
+8/1/2013,CT,237920.2377,15640.72505,31192.85456,108122.8779,46833.57961,0,0,0,0,0,,,,,,,
+9/1/2013,CT,238601.4771,15683.35795,31225.70162,108284.4904,46909.05958,0,0,0,0,0,,,,,,,
+10/1/2013,CT,238530.5702,15705.55042,31217.96006,108305.2503,46923.51048,0,0,0,0,0,,,,,,,
+11/1/2013,CT,238490.3302,15729.67482,31214.22706,108339.7624,46943.90187,0,0,0,0,0,,,,,,,
+12/1/2013,CT,238347.4394,15746.9339,31197.05341,108327.4558,46943.9873,0,0,0,0,0,,,,,,,
+1/1/2014,CT,236843.4724,15749.80282,31237.84359,108472.2765,46987.64641,0,0,0,0,0,,,,,,,
+2/1/2014,CT,235653.3578,15773.28721,31319.43494,108758.77,47092.72216,0,0,0,0,0,,,,,,,
+3/1/2014,CT,234133.0954,15774.40683,31356.52848,108890.7336,47130.93531,0,0,0,0,0,,,,,,,
+4/1/2014,CT,235105.0852,15776.44326,31395.30734,109028.5375,47171.7506,0,0,0,0,0,,,,,,,
+5/1/2014,CT,236123.7802,15781.84462,31440.6556,109189.1439,47222.50022,0,0,0,0,0,,,,,,,
+6/1/2014,CT,237279.3711,15796.57398,31504.48877,109413.937,47301.06275,0,0,0,0,0,,,,,,,
+7/1/2014,CT,238319.6046,15805.29444,31556.24738,109596.7875,47361.54182,0,0,0,0,0,,,,,,,
+8/1/2014,CT,239746.4551,15839.73818,31659.31684,109957.8394,47499.05502,0,0,0,0,0,,,,,,,
+9/1/2014,CT,241082.5267,15868.19182,31750.40939,110277.2933,47618.6012,0,0,0,0,0,,,,,,,
+10/1/2014,CT,242503.788,15904.64283,31857.50377,110652.3256,47762.1466,0,0,0,0,0,,,,,,,
+11/1/2014,CT,244051.1617,15949.30713,31981.08434,111084.6234,47930.39147,0,0,0,0,0,,,,,,,
+12/1/2014,CT,245789.3919,16006.31436,32129.49291,111603.1669,48135.80727,0,0,0,0,0,,,,,,,
+1/1/2015,CT,248378.8936,16101.74206,32296.85746,112425.072,48398.59952,0,0,0,0,0,,,,,,,
+2/1/2015,CT,249417.6069,16096.42029,32262.06715,112543.9913,48358.48744,0,0,0,0,0,,,,,,,
+3/1/2015,CT,250384.7089,16086.73455,32218.61598,112631.8425,48305.35053,0,0,0,0,0,,,,,,,
+4/1/2015,CT,251021.9933,16095.52036,32212.22427,112848.6056,48307.74463,0,0,0,0,0,,,,,,,
+5/1/2015,CT,251250.8886,16078.22133,32153.7041,112881.9943,48231.92543,0,0,0,0,0,,,,,,,
+6/1/2015,CT,251590.6188,16068.15279,32109.74689,112965.4785,48177.89969,0,0,0,0,0,,,,,,,
+7/1/2015,CT,251337.2841,16075.97568,32101.60865,113174.3216,48177.58432,0,0,0,0,0,,,,,,,
+8/1/2015,CT,251288.2582,16096.84654,32119.54525,113474.8941,48216.39179,0,0,0,0,0,,,,,,,
+9/1/2015,CT,251613.8214,16141.74791,32185.39728,113945.0958,48327.14519,0,0,0,0,0,,,,,,,
+10/1/2015,CT,251865.0709,16165.15289,32208.34866,114263.8031,48373.50156,0,0,0,0,0,,,,,,,
+11/1/2015,CT,251926.0929,16176.34536,32206.97814,114496.1147,48383.32349,0,0,0,0,0,,,,,,,
+12/1/2015,CT,252345.7914,16210.57015,32251.46001,114891.4802,48462.03016,0,0,0,0,0,,,,,,,
+1/1/2016,CT,252768.8614,16219.5242,32263.58263,115029.9192,48483.10682,0,0,0,0,0,,,,,,,
+2/1/2016,CT,253478.4293,16246.86013,32312.26955,115298.7318,48559.12968,0,0,0,0,0,,,,,,,
+3/1/2016,CT,253444.5937,16226.57783,32266.26144,115229.4866,48492.83927,0,0,0,0,0,,,,,,,
+4/1/2016,CT,252884.2678,16190.31107,32188.5003,115046.3128,48378.81137,0,0,0,0,0,,,,,,,
+5/1/2016,CT,252783.8528,16183.4909,32169.30988,115072.0271,48352.80078,0,0,0,0,0,,,,,,,
+6/1/2016,CT,252577.0098,16169.85841,32136.59707,115049.0521,48306.45548,0,0,0,0,0,,,,,,,
+7/1/2016,CT,252591.4589,16180.30635,32151.75561,115197.2388,48332.06196,0,0,0,0,0,,,,,,,
+8/1/2016,CT,252332.4136,16173.21683,32132.07632,115220.4253,48305.29314,0,0,0,0,0,,,,,,,
+9/1/2016,CT,252013.8683,16162.28301,32104.77739,115215.9868,48267.0604,0,0,0,0,0,,,,,,,
+10/1/2016,CT,252191.8322,16143.68014,32062.26659,115156.589,48205.94672,0,0,0,0,0,,,,,,,
+11/1/2016,CT,252828.8465,16154.54022,32078.28529,115307.1678,48232.82551,0,0,0,0,0,,,,,,,
+12/1/2016,CT,253100.9265,16142.14841,32048.14459,115291.6195,48190.293,0,0,0,0,0,,,,,,,
+1/1/2017,CT,252160.2725,16109.15838,32031.7955,115160.8354,48140.96179,0,0,0,0,0,,,,,,,
+2/1/2017,CT,251771.526,16111.28477,32085.01468,115280.5406,48196.31524,0,0,0,0,0,,,,,,,
+3/1/2017,CT,251908.1242,16147.00224,32205.08094,115640.4959,48352.10687,0,0,0,0,0,,,,,,,
+4/1/2017,CT,253027.8471,16138.37822,32236.62808,115682.718,48375.03783,0,0,0,0,0,,,,,,,
+5/1/2017,CT,254772.5309,16169.7678,32348.00972,116011.5658,48517.81694,0,0,0,0,0,,,,,,,
+6/1/2017,CT,256200.6332,16181.11799,32419.26948,116196.5695,48600.43472,0,0,0,0,0,,,,,,,
+7/1/2017,CT,256906.8045,16203.76757,32513.10916,116462.5889,48716.93184,0,0,0,0,0,,,,,,,
+8/1/2017,CT,257068.7039,16192.14588,32538.05623,116482.0173,48730.26496,0,0,0,0,0,,,,,,,
+9/1/2017,CT,256874.7594,16158.24342,32517.93579,116340.5358,48676.24964,0,0,0,0,0,,,,,,,
+10/1/2017,CT,257054.172,16161.03131,32571.40312,116462.6935,48732.51256,0,0,0,0,0,,,,,,,
+11/1/2017,CT,257184.8974,16160.78477,32618.6052,116562.6648,48779.47578,0,0,0,0,0,,,,,,,
+12/1/2017,CT,257368.1062,16163.8624,32672.36867,116686.2965,48836.32455,0,0,0,0,0,,,,,,,
+1/1/2018,CT,257562.7627,16160.87784,32600.88144,116691.5125,48761.84466,0,0,0,0,0,,,,,,,
+2/1/2018,CT,258041.0376,16175.7801,32565.86914,116825.722,48741.72667,0,0,0,0,0,,,,,,,
+3/1/2018,CT,258783.2283,16207.28449,32564.53139,117079.7341,48771.88547,0,0,0,0,0,,,,,,,
+4/1/2018,CT,258184.7366,16229.82801,32545.40628,117268.9249,48775.29602,0,0,0,0,0,,,,,,,
+5/1/2018,CT,257602.864,16253.18489,32528.15955,117463.8917,48781.39837,0,0,0,0,0,,,,,,,
+6/1/2018,CT,257215.3956,16288.62505,32535.28994,117746.1063,48823.96115,0,0,0,0,0,,,,,,,
+7/1/2018,CT,258404.0326,16327.59776,32549.60784,118053.8031,48877.24404,0,0,0,0,0,,,,,,,
+8/1/2018,CT,259626.3663,16368.76125,32568.4012,118377.2957,48937.19317,0,0,0,0,0,,,,,,,
+9/1/2018,CT,260484.5592,16387.0726,32541.91267,118535.4476,48929.00826,0,0,0,0,0,,,,,,,
+10/1/2018,CT,259468.5285,16412.83525,32530.46467,118747.3988,48943.31522,0,0,0,0,0,,,,,,,
+11/1/2018,CT,258790.3899,16459.78061,32561.13359,119112.5534,49020.92185,0,0,0,0,0,,,,,,,
+12/1/2018,CT,258167.2799,16510.17056,32598.65493,119502.6195,49108.8255,0,0,0,0,0,,,,,,,
+1/1/2019,CT,258350.9058,16518.75319,32621.08059,119704.846,49139.83379,0,0,0,0,0,,,,,,,
+2/1/2019,CT,258101.1062,16499.62741,32588.78017,119706.0818,49088.40758,0,0,0,0,0,,,,,,,
+3/1/2019,CT,257550.5057,16461.28578,32518.50278,119567.309,48979.78857,0,0,0,0,0,,,,,,,
+4/1/2019,CT,257450.9625,16417.16767,32436.78266,119385.7715,48853.95032,0,0,0,0,0,,,,,,,
+5/1/2019,CT,257963.4552,16412.21994,32432.43428,119488.5577,48844.65421,0,0,0,0,0,,,,,,,
+6/1/2019,CT,258468.1857,16406.83131,32427.20699,119587.9383,48834.0383,0,0,0,0,0,,,,,,,
+7/1/2019,CT,258742.3474,16389.53228,32398.42771,119600.2053,48787.95999,0,0,0,0,0,,,,,,,
+8/1/2019,CT,259300.2942,16390.27107,32405.29546,119743.8528,48795.56653,0,0,0,0,0,,,,,,,
+9/1/2019,CT,259770.6135,16385.50637,32401.27669,119847.1513,48786.78305,0,0,0,0,0,,,,,,,
+10/1/2019,CT,260251.6384,16359.83144,32355.89506,119797.1437,48715.72649,0,0,0,0,0,,,,,,,
+11/1/2019,CT,261132.022,16359.39343,32360.41333,119931.6098,48719.80676,0,0,0,0,0,,,,,,,
+12/1/2019,CT,261488.7661,16326.30761,32300.33593,119826.3437,48626.64355,0,0,0,0,0,,,,,,,
+1/1/2020,CT,258428.0959,16346.24225,32275.59249,119348.6504,48621.83474,0,0,0,0,0,0,34,34,30,30,0,0
+2/1/2020,CT,255567.4199,16378.18493,32274.75166,118960.5054,48652.93659,0,0,0,0,0,0,74,54,34,30,0,0
+3/1/2020,CT,253561.5029,16465.13842,32382.24572,118971.2517,48847.38414,3128,3128,69,69,3128,69,7618,7202,2990,2868,424,404
+4/1/2020,CT,248152.2235,16603.68116,32590.7212,119350.0972,49194.40236,24572,23012,2188,1429,24572,2188,18643,16679,7834,7453,4869,3711
+5/1/2020,CT,241139.0115,16637.04204,32592.46841,118970.244,49229.51045,14501,14049,1687,1389,14501,1687,7294,6469,2944,2844,1725,1333
+6/1/2020,CT,233554.8914,16628.6367,32512.68669,118294.5659,49141.32339,4313,4345,378,369,4313,378,59839,58597,811,791,92,64
+7/1/2020,CT,239221.1659,16630.31637,32453.03347,117694.6185,49083.34984,3296,3320,110,98,3296,110,8034,7783,315,301,0,0
+8/1/2020,CT,244825.7054,16630.04551,32389.94953,117084.5189,49019.99503,3069,2899,33,29,3069,33,7025,6635,391,379,0,0
+9/1/2020,CT,250703.5919,16650.1886,32366.92858,116621.0925,49017.11718,4671,4376,43,30,4671,43,9173,8476,323,311,0,0
+10/1/2020,CT,251793.0161,16695.19382,32392.37007,116333.0885,49087.56389,13657,12390,108,98,13657,108,32892,29315,629,501,0,0
+11/1/2020,CT,252920.2562,16742.71936,32422.73088,116062.9317,49165.45024,46088,41972,404,317,46088,404,82662,77338,3192,2889,264,178
+12/1/2020,CT,252991.5292,16720.46366,32318.23451,115311.7254,49038.69817,68413,65188,975,829,68413,975,122539,118680,4044,3733,763,640
+1/1/2021,CT,252226.92,16925.49793,32511.19174,115757.0933,49436.68227,64315,60135,1051,887,64315,1051,75508,73709,2660,2440,389,305
+2/1/2021,CT,251590.608,17137.30107,32718.59314,116255.6251,49855.87946,29923,26238,576,513,29923,576,2310,2046,1569,1437,232,190
+3/1/2021,CT,250311.444,17302.96043,32839.71505,116449.7897,50142.65348,30942,26183,264,223,30678,267,17839,15043,1186,1031,22,16
+4/1/2021,CT,251760.4183,17476.61315,32978.16839,116708.0423,50454.75236,28345,24035,211,182,28609,208,802,650,32,18,122,90
+5/1/2021,CT,253249.2299,17652.2759,33122.37086,116989.0364,50774.61047,8273,6920,141,118,8108,141,207251,176713,165,155,0,0
+6/1/2021,CT,254595.0909,17817.21492,33248.41068,117208.2922,51065.58229,1846,1462,40,29,2011,40,11981,10375,17,13,0,0
+7/1/2021,CT,254926.8302,17997.54568,33405.00147,117537.5117,51402.49685,5397,4200,15,15,4983,15,23255,19258,37,33,0,0
+8/1/2021,CT,255409.0092,18187.16865,33580.34763,117934.6009,51767.45904,18171,15248,65,61,18737,65,33064,27220,74,66,0,0
+9/1/2021,CT,256093.3326,18390.09314,33781.48329,118423.8023,52171.51223,17273,14399,271,170,17273,271,39510,33358,55,51,0,0
+10/1/2021,CT,256608.4435,18543.17225,33892.56803,118599.2248,52435.66935,12238,11435,135,130,12238,135,258,236,22,16,53,48
+11/1/2021,CT,257008.9397,18686.60462,33988.00761,118722.4126,52674.53469,19109,17953,141,114,19109,141,19826,18428,15,13,0,0
+12/1/2021,CT,257577.8561,18840.97239,34105.23304,118924.1087,52946.12129,88496,74788,255,200,88496,255,314,282,11,11,162,159
+1/1/2022,CT,258018.1749,18817.00832,34145.74771,119037.5537,52962.6793,189212,169848,850,659,189212,850,1537,1402,103,97,784,734
+2/1/2022,CT,258279.6907,18780.62818,34162.79741,119069.5052,52943.35624,23989,20412,460,417,23989,460,55808,48167,32,32,240,224
+3/1/2022,CT,257613.2739,18677.6197,34057.37671,118675.0233,52734.9346,10203,8854,306,257,12644,309,67950,59635,15,15,34,32
+4/1/2022,CT,257771.3065,18714.21951,34205.58339,119164.6307,52919.74806,21506,19029,74,53,22248,71,122,104,2,2,86,76
+5/1/2022,CT,256884.7642,18674.78196,34214.15917,119168.009,52888.89343,42291,37916,91,72,50913,91,300578,268132,109,109,104,96
+6/1/2022,CT,255024.2891,18564.14761,34091.0195,118713.04,52655.12663,19774,16496,104,82,19774,104,10303,8936,14,12,44,42
+7/1/2022,CT,256853.8133,18654.13395,34335.58622,119538.7449,52989.68641,22925,19927,57,40,25614,57,183,154,38,34,48,48
+8/1/2022,CT,257754.2674,18676.72098,34455.95715,119932.1091,53132.65119,20494,18739,167,143,20494,167,111216,98765,606,602,0,0
+9/1/2022,CT,258452.0032,18684.87926,34549.22918,120231.3055,53234.08831,21817,16021,96,47,21817,96,12262,12238,369,368,0,0
+10/1/2022,CT,259645.1966,18686.53191,34629.91048,120486.8684,53316.42902,4287,3508,20,11,0,0,6691,6677,155,155,0,0
+11/1/2022,CT,261557.0822,18740.30682,34806.8177,121077.3464,53547.11783,0,0,0,0,0,,328,322,11,11,0,0
+12/1/2022,CT,263583.4756,18802.41008,34999.07859,121721.2701,53801.48867,0,0,0,0,0,,114,104,44,44,59,55
+1/1/2012,IL,715195.1042,46461.98933,97094.73972,315408.9016,143556.7291,0,0,0,0,0,,,,,,,
+2/1/2012,IL,718953.5051,46458.56983,97025.18124,315340.4658,143483.7511,0,0,0,0,0,,,,,,,
+3/1/2012,IL,722927.0567,46470.07069,96987.04066,315373.4897,143457.1113,0,0,0,0,0,,,,,,,
+4/1/2012,IL,724230.836,46508.98871,97006.3218,315592.7276,143515.3105,0,0,0,0,0,,,,,,,
+5/1/2012,IL,727298.5879,46661.19487,97261.90596,316580.7052,143923.1008,0,0,0,0,0,,,,,,,
+6/1/2012,IL,729919.0604,46784.63251,97457.42397,317373.4253,144242.0565,0,0,0,0,0,,,,,,,
+7/1/2012,IL,730136.7556,46867.74781,97568.93757,317892.6041,144436.6854,0,0,0,0,0,,,,,,,
+8/1/2012,IL,728172.1709,46810.52544,97388.52527,317460.0716,144199.0507,0,0,0,0,0,,,,,,,
+9/1/2012,IL,726444.9736,46768.12381,97239.33791,317128.3336,144007.4617,0,0,0,0,0,,,,,,,
+10/1/2012,IL,723774.9767,46728.76294,97096.83774,316817.479,143825.6007,0,0,0,0,0,,,,,,,
+11/1/2012,IL,723744.0653,46859.48408,97307.88664,317659.8681,144167.3707,0,0,0,0,0,,,,,,,
+12/1/2012,IL,723338.9997,46966.09108,97468.80996,318338.7512,144434.901,0,0,0,0,0,,,,,,,
+1/1/2013,IL,725280.5752,47001.86201,97395.299,318377.5768,144397.1693,0,0,0,0,0,,,,,,,
+2/1/2013,IL,725956.6083,46956.12058,97153.70319,317865.3927,144109.8402,0,0,0,0,0,,,,,,,
+3/1/2013,IL,730238.4605,47143.81873,97395.4446,318933.9309,144539.2881,0,0,0,0,0,,,,,,,
+4/1/2013,IL,730051.2165,47306.6915,97585.59201,319834.0994,144892.3165,0,0,0,0,0,,,,,,,
+5/1/2013,IL,728815.9588,47401.6764,97635.67964,320275.2615,145037.3973,0,0,0,0,0,,,,,,,
+6/1/2013,IL,726489.8052,47425.21832,97539.02082,320234.2731,144964.2885,0,0,0,0,0,,,,,,,
+7/1/2013,IL,727108.8133,47491.72866,97531.22718,320484.1036,145023.0134,0,0,0,0,0,,,,,,,
+8/1/2013,IL,727511.214,47544.01865,97494.63107,320638.5249,145038.7154,0,0,0,0,0,,,,,,,
+9/1/2013,IL,728743.87,47650.51699,97569.47317,321158.9119,145220.064,0,0,0,0,0,,,,,,,
+10/1/2013,IL,731210.3576,47694.95946,97517.54783,321261.461,145212.5892,0,0,0,0,0,,,,,,,
+11/1/2013,IL,733762.1343,47745.34342,97478.23441,321404.6698,145223.6678,0,0,0,0,0,,,,,,,
+12/1/2013,IL,735988.5976,47774.96963,97397.04557,321408.8398,145172.1132,0,0,0,0,0,,,,,,,
+1/1/2014,IL,734536.101,47783.81796,97374.44351,321897.3696,145158.3511,0,0,0,0,0,,,,,,,
+2/1/2014,IL,734049.001,47855.21181,97479.39833,322806.175,145334.6916,0,0,0,0,0,,,,,,,
+3/1/2014,IL,732525.1846,47858.75194,97446.24206,323256.1706,145305.0671,0,0,0,0,0,,,,,,,
+4/1/2014,IL,736533.2581,47865.07303,97418.90691,323723.2745,145284.0448,0,0,0,0,0,,,,,,,
+5/1/2014,IL,740684.1302,47881.60268,97412.49591,324257.8711,145294.1553,0,0,0,0,0,,,,,,,
+6/1/2014,IL,745261.7072,47926.43277,97463.77445,324982.9184,145390.2557,0,0,0,0,0,,,,,,,
+7/1/2014,IL,748128.7592,47953.03162,97478.0825,325583.2364,145431.1545,0,0,0,0,0,,,,,,,
+8/1/2014,IL,752210.021,48057.67435,97651.09149,326712.8656,145708.7981,0,0,0,0,0,,,,,,,
+9/1/2014,IL,756006.5114,48144.1431,97787.17673,327718.889,145931.3441,0,0,0,0,0,,,,,,,
+10/1/2014,IL,758118.6052,48254.87593,97972.54556,328890.0789,146227.4376,0,0,0,0,0,,,,,,,
+11/1/2014,IL,760622.5792,48390.52811,98208.46832,330231.5354,146599.0045,0,0,0,0,0,,,,,,,
+12/1/2014,IL,763716.0482,48563.6293,98520.30309,331829.5123,147083.9324,0,0,0,0,0,,,,,,,
+1/1/2015,IL,768750.5327,48965.04497,99005.63607,334374.7458,147970.681,0,0,0,0,0,,,,,,,
+2/1/2015,IL,768976.3301,49060.41533,98871.18304,334829.4587,147931.5984,0,0,0,0,0,,,,,,,
+3/1/2015,IL,768991.9382,49142.0875,98710.28678,335191.382,147852.3743,0,0,0,0,0,,,,,,,
+4/1/2015,IL,770862.8899,49279.88858,98663.00651,335936.6761,147942.8951,0,0,0,0,0,,,,,,,
+5/1/2015,IL,771479.9915,49337.47593,98456.14894,336135.7717,147793.6249,0,0,0,0,0,,,,,,,
+6/1/2015,IL,772437.7878,49416.77309,98294.00325,336483.61,147710.7763,0,0,0,0,0,,,,,,,
+7/1/2015,IL,774448.0428,49550.79063,98241.58216,337204.5739,147792.3728,0,0,0,0,0,,,,,,,
+8/1/2015,IL,777085.5165,49724.93442,98268.98165,338198.7652,147993.9161,0,0,0,0,0,,,,,,,
+9/1/2015,IL,780885.4767,49973.47249,98442.93681,339698.661,148416.4093,0,0,0,0,0,,,,,,,
+10/1/2015,IL,780179.5224,50155.63775,98485.63046,340747.0741,148641.2682,0,0,0,0,0,,,,,,,
+11/1/2015,IL,778885.0073,50299.86033,98453.96615,341537.8003,148753.8265,0,0,0,0,0,,,,,,,
+12/1/2015,IL,778699.1177,50515.72351,98562.46308,342814.9303,149078.1866,0,0,0,0,0,,,,,,,
+1/1/2016,IL,777184.8037,50573.24841,98598.08885,343640.6324,149171.3373,0,0,0,0,0,,,,,,,
+2/1/2016,IL,776551.0806,50688.09206,98745.45566,344855.8565,149433.5477,0,0,0,0,0,,,,,,,
+3/1/2016,IL,773644.6304,50654.32302,98603.43928,345059.2621,149257.7623,0,0,0,0,0,,,,,,,
+4/1/2016,IL,772786.441,50570.49016,98364.39581,344919.2054,148934.886,0,0,0,0,0,,,,,,,
+5/1/2016,IL,773329.6146,50578.49332,98304.34455,345403.4626,148882.8379,0,0,0,0,0,,,,,,,
+6/1/2016,IL,773544.3245,50565.10679,98202.97576,345740.1968,148768.0826,0,0,0,0,0,,,,,,,
+7/1/2016,IL,773010.1006,50626.95504,98247.89544,346590.3603,148874.8505,0,0,0,0,0,,,,,,,
+8/1/2016,IL,771639.9997,50633.87434,98186.36187,347063.6685,148820.2362,0,0,0,0,0,,,,,,,
+9/1/2016,IL,770089.8092,50628.66434,98101.54942,347452.4652,148730.2138,0,0,0,0,0,,,,,,,
+10/1/2016,IL,772025.9386,50599.3167,97970.26002,347673.9418,148569.5767,0,0,0,0,0,,,,,,,
+11/1/2016,IL,775363.7456,50662.24028,98017.81842,348528.3311,148680.0587,0,0,0,0,0,,,,,,,
+12/1/2016,IL,777579.3443,50652.18012,97924.33606,348879.7052,148576.5162,0,0,0,0,0,,,,,,,
+1/1/2017,IL,773659.1467,50611.73409,97891.3049,348465.6683,148503.0311,0,0,0,0,0,,,,,,,
+2/1/2017,IL,771437.6875,50681.28572,98070.79031,348809.6839,148752.0602,0,0,0,0,0,,,,,,,
+3/1/2017,IL,770826.9202,50856.44287,98454.58336,349880.6534,149311.0025,0,0,0,0,0,,,,,,,
+4/1/2017,IL,770977.5496,50891.83941,98567.73592,349990.3225,149459.5438,0,0,0,0,0,,,,,,,
+5/1/2017,IL,773038.6704,51053.29789,98924.96106,350967.1929,149978.2195,0,0,0,0,0,,,,,,,
+6/1/2017,IL,774141.3788,51151.44356,99159.47644,351508.9071,150310.8727,0,0,0,0,0,,,,,,,
+7/1/2017,IL,777055.0758,51285.23334,99463.0361,352295.7254,150748.2143,0,0,0,0,0,,,,,,,
+8/1/2017,IL,778320.4987,51310.3912,99555.79853,352336.6606,150866.1269,0,0,0,0,0,,,,,,,
+9/1/2017,IL,778503.8172,51264.56696,99510.56897,351890.9814,150775.0655,0,0,0,0,0,,,,,,,
+10/1/2017,IL,780204.4733,51334.82734,99690.44583,352242.8144,151025.195,0,0,0,0,0,,,,,,,
+11/1/2017,IL,781753.7405,51395.25704,99851.09603,352527.5997,151246.2673,0,0,0,0,0,,,,,,,
+12/1/2017,IL,783458.9643,51466.06842,100031.7816,352883.997,151497.7566,0,0,0,0,0,,,,,,,
+1/1/2018,IL,787559.0991,51409.37514,100063.1664,352875.2569,151472.4561,0,0,0,0,0,,,,,,,
+2/1/2018,IL,792505.4588,51409.8645,100205.0019,353256.7402,151614.789,0,0,0,0,0,,,,,,,
+3/1/2018,IL,798248.9771,51463.29922,100449.4929,354000.5753,151912.7226,0,0,0,0,0,,,,,,,
+4/1/2018,IL,799082.5215,51488.43699,100638.2808,354548.4992,152126.656,0,0,0,0,0,,,,,,,
+5/1/2018,IL,799957.1753,51516.33347,100831.9238,355113.9784,152348.2034,0,0,0,0,0,,,,,,,
+6/1/2018,IL,801427.3844,51582.66939,101100.3813,355943.2961,152683.0045,0,0,0,0,0,,,,,,,
+7/1/2018,IL,802971.2437,51660.28698,101390.6644,356849.6945,153050.913,0,0,0,0,0,,,,,,,
+8/1/2018,IL,804623.4785,51744.91407,101694.4695,357803.8807,153439.3529,0,0,0,0,0,,,,,,,
+9/1/2018,IL,805153.4882,51757.4353,101856.1588,358258.3825,153613.5712,0,0,0,0,0,,,,,,,
+10/1/2018,IL,805207.8207,51793.66653,102063.9773,358875.5769,153857.6286,0,0,0,0,0,,,,,,,
+11/1/2018,IL,806303.9335,51896.83916,102403.4205,359955.8284,154300.2521,0,0,0,0,0,,,,,,,
+12/1/2018,IL,807569.5241,52010.89998,102764.2649,361111.3762,154775.1649,0,0,0,0,0,,,,,,,
+1/1/2019,IL,809189.6761,52140.50518,102983.2136,361722.5806,155123.7188,0,0,0,0,0,,,,,,,
+2/1/2019,IL,809450.7968,52182.50478,103029.1842,361726.4337,155211.6889,0,0,0,0,0,,,,,,,
+3/1/2019,IL,808764.1055,52163.29505,102954.4603,361307.2101,155117.7554,0,0,0,0,0,,,,,,,
+4/1/2019,IL,808665.027,52125.18977,102842.655,360758.7599,154967.8448,0,0,0,0,0,,,,,,,
+5/1/2019,IL,810487.5777,52211.06873,102975.6075,361069.4758,155186.6762,0,0,0,0,0,,,,,,,
+6/1/2019,IL,812285.4414,52295.40183,103105.5624,361369.9004,155400.9642,0,0,0,0,0,,,,,,,
+7/1/2019,IL,814410.8065,52341.55207,103160.3145,361407.0855,155501.8666,0,0,0,0,0,,,,,,,
+8/1/2019,IL,817427.148,52445.12645,103328.3091,361841.2753,155773.4355,0,0,0,0,0,,,,,,,
+9/1/2019,IL,820165.9604,52530.98714,103461.4407,362153.5383,155992.4279,0,0,0,0,0,,,,,,,
+10/1/2019,IL,817751.8874,52549.54433,103462.1109,362002.5417,156011.6552,0,0,0,0,0,,,,,,,
+11/1/2019,IL,816601.9728,52648.92564,103621.9965,362408.9865,156270.9222,0,0,0,0,0,,,,,,,
+12/1/2019,IL,813825.5852,52642.95261,103574.6279,362091.0092,156217.5806,0,0,0,0,0,,,,,,,
+1/1/2020,IL,806526.2355,52872.4101,103627.4983,359890.9435,156499.9084,2,2,0,0,2,0,58,28,6,6,0,0
+2/1/2020,IL,799844.2724,53140.21188,103756.715,357963.1914,156896.9269,0,0,0,0,0,0,136,130,60,60,0,0
+3/1/2020,IL,795839.8903,53586.67798,104234.3491,357234.9175,157821.027,5992,5992,99,99,5992,99,35496,35125,12652,12616,2140,2114
+4/1/2020,IL,778072.6072,54202.27933,105038.0241,357606.1879,159240.3035,46924,46924,2256,2256,46924,2256,125430,124695,26088,26004,6845,6689
+5/1/2020,IL,755272.8064,54475.21439,105175.9883,355700.9249,159651.2027,67342,67342,3035,3035,67342,3035,101315,100712,13068,13012,3182,3072
+6/1/2020,IL,730688.693,54610.64056,105050.2501,352914.7328,159660.8907,23978,22925,1734,1533,22925,1533,45381,45071,4724,4702,328,314
+7/1/2020,IL,747133.451,54778.1319,104988.6935,350359.459,159766.8254,35880,35652,568,572,36930,769,85763,85197,6525,6489,330,310
+8/1/2020,IL,763392.8726,54938.23171,104915.2537,347778.5557,159853.4854,56607,56186,543,531,56609,543,120597,118594,7456,7428,584,570
+9/1/2020,IL,780510.514,55164.98974,104970.9487,345637.045,160135.9385,59038,58251,681,646,58996,681,125454,122174,7897,7843,759,735
+10/1/2020,IL,783101.4438,55473.78069,105183.5381,344017.0745,160657.3188,120796,117026,1124,1085,120827,1124,402065,383266,17832,17546,3895,3671
+11/1/2020,IL,785810.363,55790.87039,105412.0398,342450.246,161202.9102,309745,316004,2945,2521,309757,2945,612930,560928,21647,20697,7183,6109
+12/1/2020,IL,785241.9973,55874.72136,105201.5158,339467.4989,161076.2372,237085,237085,4993,4212,237085,4993,399496,339290,16768,15587,4553,3648
+1/1/2021,IL,790221.0813,56712.39589,106123.201,340647.1448,162835.6043,162912,162912,3275,2753,162912,3275,254724,207960,13842,12510,1825,1516
+2/1/2021,IL,795549.1718,57571.66928,107089.9396,341984.1804,164661.6236,60395,60395,1482,1273,60395,1482,100368,80942,6245,5713,434,374
+3/1/2021,IL,798776.753,58274.56174,107771.6224,342427.0672,166046.2062,57889,57889,844,785,57889,844,140280,115035,9500,8698,578,520
+4/1/2021,IL,802392.4614,59002.75448,108507.0058,343059.84,167509.7895,90470,90470,712,659,90470,712,162308,133785,12655,11573,762,682
+5/1/2021,IL,806145.4986,59736.26607,109258.4125,343760.7669,168994.7149,47131,47131,932,867,47131,932,63821,50845,5942,5415,248,212
+6/1/2021,IL,809453.914,60432.01857,109946.9937,344281.6002,170379.0556,9553,9553,451,400,9554,450,19108,14854,1972,1818,0,0
+7/1/2021,IL,810721.3514,61178.60489,110733.8673,345126.6748,171912.5225,29741,29741,246,216,27871,243,93390,74616,6489,5792,242,200
+8/1/2021,IL,812465.4197,61955.64678,111580.6453,346172.0655,173536.3494,101462,101462,580,510,103339,582,232148,182667,14233,12698,1074,904
+9/1/2021,IL,814851.0376,62777.07862,112511.2578,347488.678,175288.4006,104566,104566,1165,1023,104566,1163,186135,145304,10373,9258,624,518
+10/1/2021,IL,818739.0087,63427.22245,113139.6533,347885.6221,176566.9467,68016,68016,955,795,68021,959,143909,111652,8096,7342,476,426
+11/1/2021,IL,822234.8562,64042.8793,113712.7891,348130.7318,177755.7459,114351,114351,756,643,114340,752,309772,249964,17434,16104,1683,1491
+12/1/2021,IL,826244.1413,64694.59193,114355.9041,348607.383,179050.5802,371134,371134,1641,1407,339697,1645,1351667,1067410,41403,38577,5133,4589
+1/1/2022,IL,827383.2821,64667.61252,114555.6797,349612.2146,179223.369,739962,739962,3687,3092,771407,3647,918339,749022,24778,23268,2898,2398
+2/1/2022,IL,827952.0933,64597.34727,114676.0222,350370.2286,179273.4388,110249,110249,2206,1850,110242,2237,90158,75793,3953,3653,125,92
+3/1/2022,IL,825550.3994,64297.07141,114384.2987,349863.2965,178681.4319,37017,37017,757,614,37021,763,64307,54777,2222,2126,11,8
+4/1/2022,IL,828716.6051,64476.77336,114943.6917,351955.255,179420.5199,70445,70445,231,237,70448,239,211808,182063,4621,4477,58,52
+5/1/2022,IL,828503.2979,64394.07195,115033.381,352605.9553,179427.5007,163734,163734,237,200,163731,232,329064,279091,6979,6729,90,86
+6/1/2022,IL,825107.1151,64065.03012,114679.2619,351890.3426,178744.3325,128427,128427,453,324,128420,453,241652,199918,5160,4958,88,75
+7/1/2022,IL,829071.3172,64427.86291,115561.5412,354965.2882,179989.4379,132810,132810,294,219,132810,294,279595,226869,5374,5131,136,104
+8/1/2022,IL,830040.061,64557.82038,116025.7177,356755.3289,180583.565,123896,123896,446,355,123896,446,171117,136288,3914,3731,75,59
+9/1/2022,IL,830367.7691,64637.58719,116398.2836,358261.4737,181035.8909,74671,74671,370,299,74671,370,54915,45605,2905,2790,67,56
+10/1/2022,IL,832626.1872,64694.47855,116728.0117,359633.187,181422.5036,11447,11447,79,62,0,0,61686,49585,2954,2796,38,32
+11/1/2022,IL,837196.7122,64931.57988,117381.818,362001.6861,182313.4045,0,0,0,0,0,,75912,60530,2709,2592,53,43
+12/1/2022,IL,842136.0639,65197.46172,118087.3174,364529.0804,183284.7791,0,0,0,0,0,,81619,63741,4394,4186,103,92
+1/1/2012,ME,53751.46408,4706.353681,11829.32621,32880.07309,16535.67989,0,0,0,0,0,,,,,,,
+2/1/2012,ME,53664.70775,4697.85859,11807.20612,32818.87589,16505.06471,0,0,0,0,0,,,,,,,
+3/1/2012,ME,53595.52815,4690.905901,11788.96576,32768.46142,16479.87166,0,0,0,0,0,,,,,,,
+4/1/2012,ME,53758.23604,4686.746908,11777.74885,32737.56834,16464.49576,0,0,0,0,0,,,,,,,
+5/1/2012,ME,54051.86759,4694.005587,11795.22459,32786.42962,16489.23017,0,0,0,0,0,,,,,,,
+6/1/2012,ME,54312.3646,4698.357137,11805.39397,32814.98235,16503.7511,0,0,0,0,0,,,,,,,
+7/1/2012,ME,54206.3699,4698.658178,11805.38567,32815.24464,16504.04385,0,0,0,0,0,,,,,,,
+8/1/2012,ME,53938.81256,4684.919644,11770.10575,32717.4619,16455.0254,0,0,0,0,0,,,,,,,
+9/1/2012,ME,53689.61635,4672.715409,11738.68538,32630.40576,16411.40079,0,0,0,0,0,,,,,,,
+10/1/2012,ME,53308.03792,4660.862627,11708.15247,32545.81483,16369.0151,0,0,0,0,0,,,,,,,
+11/1/2012,ME,53121.2582,4665.992439,11720.28182,32579.81393,16386.27426,0,0,0,0,0,,,,,,,
+12/1/2012,ME,52906.86231,4668.714523,11726.36267,32596.99979,16395.07719,0,0,0,0,0,,,,,,,
+1/1/2013,ME,53169.32409,4676.074295,11726.39659,32593.02622,16402.47089,0,0,0,0,0,,,,,,,
+2/1/2013,ME,53338.3421,4675.303492,11706.14365,32532.68878,16381.44714,0,0,0,0,0,,,,,,,
+3/1/2013,ME,53772.01231,4697.766845,11744.10778,32634.15262,16441.87462,0,0,0,0,0,,,,,,,
+4/1/2013,ME,53684.65024,4717.764305,11775.86913,32718.3719,16493.63343,0,0,0,0,0,,,,,,,
+5/1/2013,ME,53520.21252,4730.991981,11790.73029,32755.63476,16521.72227,0,0,0,0,0,,,,,,,
+6/1/2013,ME,53275.87229,4737.078674,11787.84526,32743.60849,16524.92393,0,0,0,0,0,,,,,,,
+7/1/2013,ME,53378.35705,4747.4446,11795.66996,32761.34473,16543.11456,0,0,0,0,0,,,,,,,
+8/1/2013,ME,53464.78179,4756.378682,11799.98687,32769.34949,16556.36555,0,0,0,0,0,,,,,,,
+9/1/2013,ME,53612.11226,4770.728705,11817.7745,32814.77105,16588.5032,0,0,0,0,0,,,,,,,
+10/1/2013,ME,53764.6068,4778.858064,11820.18967,32817.51571,16599.04773,0,0,0,0,0,,,,,,,
+11/1/2013,ME,53923.46627,4787.570793,11824.10525,32824.43897,16611.67604,0,0,0,0,0,,,,,,,
+12/1/2013,ME,54058.52043,4794.189099,11822.91054,32817.18977,16617.09964,0,0,0,0,0,,,,,,,
+1/1/2014,ME,53964.6519,4806.361094,11835.17798,32775.0836,16641.53907,0,0,0,0,0,,,,,,,
+2/1/2014,ME,53941.67693,4824.796263,11862.91179,32775.99719,16687.70805,0,0,0,0,0,,,,,,,
+3/1/2014,ME,53842.48559,4836.361331,11873.79928,32730.56181,16710.16062,0,0,0,0,0,,,,,,,
+4/1/2014,ME,54017.21464,4848.163361,11885.33738,32687.21652,16733.50074,0,0,0,0,0,,,,,,,
+5/1/2014,ME,54202.85208,4860.958618,11899.37394,32651.01682,16760.33256,0,0,0,0,0,,,,,,,
+6/1/2014,ME,54420.05144,4876.595332,11920.41539,32634.2505,16797.01072,0,0,0,0,0,,,,,,,
+7/1/2014,ME,54567.07691,4890.347902,11936.89634,32605.1943,16827.24424,0,0,0,0,0,,,,,,,
+8/1/2014,ME,54802.74997,4912.044351,11972.79109,32629.26815,16884.83544,0,0,0,0,0,,,,,,,
+9/1/2014,ME,55017.68359,4931.881825,12004.15686,32641.0085,16936.03868,0,0,0,0,0,,,,,,,
+10/1/2014,ME,55290.00326,4954.20491,12041.57257,32669.19953,16995.77748,0,0,0,0,0,,,,,,,
+11/1/2014,ME,55591.02343,4979.097558,12085.21665,32714.21366,17064.31421,0,0,0,0,0,,,,,,,
+12/1/2014,ME,55935.39926,5007.868661,12138.23587,32784.43754,17146.10453,0,0,0,0,0,,,,,,,
+1/1/2015,ME,56020.13696,5050.862896,12174.11636,33063.33057,17224.97926,0,0,0,0,0,,,,,,,
+2/1/2015,ME,55753.61641,5062.292548,12133.71462,33135.59184,17196.00717,0,0,0,0,0,,,,,,,
+3/1/2015,ME,55472.86324,5072.303099,12090.15277,33198.57339,17162.45587,0,0,0,0,0,,,,,,,
+4/1/2015,ME,55729.43996,5088.102873,12060.57073,33299.4526,17148.6736,0,0,0,0,0,,,,,,,
+5/1/2015,ME,55894.98753,5095.615702,12011.55693,33346.10525,17107.17263,0,0,0,0,0,,,,,,,
+6/1/2015,ME,56084.69755,5105.363985,11968.10055,33407.39773,17073.46453,0,0,0,0,0,,,,,,,
+7/1/2015,ME,56182.07481,5120.761271,11938.06937,33505.66184,17058.83064,0,0,0,0,0,,,,,,,
+8/1/2015,ME,56324.99372,5140.304067,11917.75746,33631.05251,17058.06152,0,0,0,0,0,,,,,,,
+9/1/2015,ME,56552.10139,5167.539622,11915.18458,33806.77032,17082.7242,0,0,0,0,0,,,,,,,
+10/1/2015,ME,56783.31429,5187.914351,11896.68584,33937.59965,17084.60019,0,0,0,0,0,,,,,,,
+11/1/2015,ME,56971.55907,5204.363716,11869.21593,34042.75171,17073.57965,0,0,0,0,0,,,,,,,
+12/1/2015,ME,57240.95184,5228.225814,11858.63849,34196.39139,17086.8643,0,0,0,0,0,,,,,,,
+1/1/2016,ME,57255.75797,5245.056757,11870.66418,34345.38329,17115.72093,0,0,0,0,0,,,,,,,
+2/1/2016,ME,57335.45133,5267.833504,11896.14369,34533.31332,17163.97719,0,0,0,0,0,,,,,,,
+3/1/2016,ME,57247.12749,5275.147128,11886.74733,34619.80943,17161.89445,0,0,0,0,0,,,,,,,
+4/1/2016,ME,57398.4891,5277.186494,11865.61102,34671.47613,17142.79752,0,0,0,0,0,,,,,,,
+5/1/2016,ME,57652.91042,5288.75777,11866.02967,34785.58559,17154.78744,0,0,0,0,0,,,,,,,
+6/1/2016,ME,57882.12143,5298.056156,11861.43509,34884.61723,17159.49124,0,0,0,0,0,,,,,,,
+7/1/2016,ME,57874.90325,5315.212663,11874.49225,35035.3026,17189.70491,0,0,0,0,0,,,,,,,
+8/1/2016,ME,57805.04085,5326.581971,11874.66866,35147.76988,17201.25063,0,0,0,0,0,,,,,,,
+9/1/2016,ME,57721.58194,5336.641002,11872.00516,35251.47052,17208.64617,0,0,0,0,0,,,,,,,
+10/1/2016,ME,57841.63279,5344.114036,11863.68726,35337.94273,17207.8013,0,0,0,0,0,,,,,,,
+11/1/2016,ME,58066.76461,5361.305083,11877.00729,35488.57949,17238.31238,0,0,0,0,0,,,,,,,
+12/1/2016,ME,58207.9092,5370.749498,11873.22053,35587.8572,17243.97002,0,0,0,0,0,,,,,,,
+1/1/2017,ME,58133.91773,5367.998634,11883.77543,35595.58256,17251.77406,0,0,0,0,0,,,,,,,
+2/1/2017,ME,58186.4166,5376.906318,11920.05305,35680.48057,17296.95936,0,0,0,0,0,,,,,,,
+3/1/2017,ME,58360.18652,5397.016453,11981.14906,35839.69122,17378.16552,0,0,0,0,0,,,,,,,
+4/1/2017,ME,58234.63585,5402.292329,12009.28658,35900.35053,17411.57891,0,0,0,0,0,,,,,,,
+5/1/2017,ME,58253.65294,5420.947084,12067.13397,36049.86883,17488.08105,0,0,0,0,0,,,,,,,
+6/1/2017,ME,58200.53868,5432.878136,12110.00331,36154.65671,17542.88144,0,0,0,0,0,,,,,,,
+7/1/2017,ME,58469.98356,5448.593186,12161.28758,36284.59559,17609.88077,0,0,0,0,0,,,,,,,
+8/1/2017,ME,58615.27151,5452.763142,12186.76067,36337.58432,17639.52381,0,0,0,0,0,,,,,,,
+9/1/2017,ME,58678.76159,5449.380699,12195.25594,36340.08977,17644.63664,0,0,0,0,0,,,,,,,
+10/1/2017,ME,58866.5829,5458.330208,12231.26547,36424.70245,17689.59568,0,0,0,0,0,,,,,,,
+11/1/2017,ME,59042.79585,5466.229815,12264.87245,36502.23106,17731.10227,0,0,0,0,0,,,,,,,
+12/1/2017,ME,59230.60385,5475.229015,12300.89736,36587.02561,17776.12638,0,0,0,0,0,,,,,,,
+1/1/2018,ME,59635.71841,5472.7076,12308.47507,36618.08492,17781.19043,0,0,0,0,0,,,,,,,
+2/1/2018,ME,60104.34379,5476.25242,12329.61672,36689.44638,17805.88463,0,0,0,0,0,,,,,,,
+3/1/2018,ME,60633.06642,5485.423606,12363.3753,36798.31968,17848.8221,0,0,0,0,0,,,,,,,
+4/1/2018,ME,60762.27606,5491.566964,12390.26559,36886.72198,17881.86342,0,0,0,0,0,,,,,,,
+5/1/2018,ME,60894.35854,5497.991244,12417.73959,36976.82999,17915.76935,0,0,0,0,0,,,,,,,
+6/1/2018,ME,61071.57695,5508.507437,12454.4162,37094.31576,17962.9698,0,0,0,0,0,,,,,,,
+7/1/2018,ME,61180.47293,5520.221306,12493.77404,37219.77027,18014.04915,0,0,0,0,0,,,,,,,
+8/1/2018,ME,61297.64121,5532.678353,12534.79199,37350.15637,18067.53178,0,0,0,0,0,,,,,,,
+9/1/2018,ME,61329.34209,5537.415623,12558.28229,37428.29094,18095.76689,0,0,0,0,0,,,,,,,
+10/1/2018,ME,61220.91244,5544.67641,12587.44629,37523.30371,18132.19921,0,0,0,0,0,,,,,,,
+11/1/2018,ME,61191.9292,5559.096318,12632.83594,37666.6682,18192.01638,0,0,0,0,0,,,,,,,
+12/1/2018,ME,61175.87691,5574.680478,12680.86356,37817.89322,18255.63579,0,0,0,0,0,,,,,,,
+1/1/2019,ME,61472.35961,5587.623994,12719.06763,37907.80776,18306.77574,0,0,0,0,0,,,,,,,
+2/1/2019,ME,61665.35344,5591.18062,12735.89199,37934.03637,18327.14896,0,0,0,0,0,,,,,,,
+3/1/2019,ME,61785.40427,5588.18289,12737.74933,37915.78721,18326.00075,0,0,0,0,0,,,,,,,
+4/1/2019,ME,61797.13973,5583.166333,12734.95476,37883.82826,18318.18182,0,0,0,0,0,,,,,,,
+5/1/2019,ME,61955.65103,5591.433331,12762.42687,37941.99528,18353.9133,0,0,0,0,0,,,,,,,
+6/1/2019,ME,62112.24815,5599.53609,12789.51198,37999.04489,18389.09356,0,0,0,0,0,,,,,,,
+7/1/2019,ME,62512.76182,5603.552419,12807.24502,38028.3591,18410.83529,0,0,0,0,0,,,,,,,
+8/1/2019,ME,62981.24069,5613.718084,12839.01742,38099.40193,18452.76577,0,0,0,0,0,,,,,,,
+9/1/2019,ME,63428.0944,5621.988621,12866.44678,38157.58073,18488.45808,0,0,0,0,0,,,,,,,
+10/1/2019,ME,63752.41873,5623.058602,12877.37458,38166.8825,18500.44828,0,0,0,0,0,,,,,,,
+11/1/2019,ME,64174.08202,5632.779332,12908.09337,38234.89697,18540.88025,0,0,0,0,0,,,,,,,
+12/1/2019,ME,64466.47883,5631.231036,12912.96417,38226.41237,18544.1952,0,0,0,0,0,,,,,,,
+1/1/2020,ME,64459.81757,5658.169888,12923.10385,38089.60677,18581.27374,0,0,0,0,0,0,39,33,0,0,0,0
+2/1/2020,ME,64500.76528,5689.205006,12942.75382,37981.33309,18631.95882,0,0,0,0,0,0,48,10,2,2,0,0
+3/1/2020,ME,64758.26536,5739.370533,13005.86967,38000.43312,18745.2402,341,341,5,5,303,5,1366,1095,238,238,0,0
+4/1/2020,ME,63830.2022,5807.668931,13109.69396,38137.22555,18917.36289,779,743,50,50,792,48,1345,1251,144,144,24,22
+5/1/2020,ME,62491.54984,5839.26128,13130.44654,38031.64995,18969.70782,1193,1004,34,33,1230,36,2245,2076,228,228,32,30
+6/1/2020,ME,61002.74502,5856.103155,13118.26161,37831.43409,18974.36476,930,838,16,16,928,16,1740,1657,126,124,0,0
+7/1/2020,ME,62637.38836,5876.368482,13114.06865,37655.33468,18990.43713,647,591,18,18,659,18,1175,1088,42,42,0,0
+8/1/2020,ME,64254.96585,5895.827162,13108.37051,37475.89257,19004.19767,625,565,9,9,617,9,1311,1189,66,66,0,0
+9/1/2020,ME,65943.57288,5922.428391,13118.78993,37343.32022,19041.21832,855,785,10,10,860,9,1737,1597,70,70,0,0
+10/1/2020,ME,66471.49971,5957.831757,13148.80995,37266.8864,19106.64171,1262,1109,5,5,1273,6,3331,2970,159,155,0,0
+11/1/2020,ME,67009.29558,5994.125338,13180.8175,37196.16237,19174.94284,6942,6063,67,67,5095,47,14530,12747,630,618,26,26
+12/1/2020,ME,67266.25056,6005.349978,13157.91351,36971.19929,19163.26349,12350,9995,133,128,12444,153,24612,19838,740,726,202,197
+1/1/2021,ME,67236.79419,6085.784118,13257.5374,37188.85918,19343.32152,13673,10020,248,244,15123,243,26631,19402,535,514,135,125
+2/1/2021,ME,67240.28647,6168.603913,13362.90106,37423.06342,19531.50497,4934,3172,108,95,5311,113,10017,6457,191,178,0,0
+3/1/2021,ME,67070.3675,6234.753415,13432.83582,37558.61025,19667.58924,6567,4011,40,40,5869,40,13392,8282,305,277,0,0
+4/1/2021,ME,67231.86097,6303.710966,13509.63194,37714.01227,19813.3429,10833,6965,41,39,10709,41,21783,14237,377,359,0,0
+5/1/2021,ME,67406.32358,6373.328166,13588.57564,37876.01936,19961.90381,5884,3615,41,38,6574,41,10797,6815,292,274,0,0
+6/1/2021,ME,67545.08133,6439.008124,13659.859,38017.28767,20098.86712,1254,805,34,31,1247,33,2210,1502,82,82,0,0
+7/1/2021,ME,67762.11497,6510.189448,13743.49778,38193.51761,20253.68723,1529,961,41,22,1429,42,3502,2204,146,141,0,0
+8/1/2021,ME,68018.04587,6584.681621,13834.69021,38391.21523,20419.37183,7419,4560,34,22,5393,32,14237,9069,408,367,24,22
+9/1/2021,ME,68326.91254,6663.948531,13936.37422,38618.41655,20600.32275,13829,9499,90,77,14133,90,27945,18995,462,428,0,0
+10/1/2021,ME,68461.99463,6725.102642,14000.7434,38742.69728,20725.84604,13083,9427,143,131,14270,145,27121,19424,652,626,24,24
+11/1/2021,ME,68566.52566,6782.691765,14058.43204,38849.12578,20841.1238,21056,15282,160,144,15403,157,41656,30502,773,738,80,72
+12/1/2021,ME,68716.01552,6844.186771,14124.92322,38980.48653,20969.10999,28188,22057,204,182,27074,207,55670,44053,855,818,183,169
+1/1/2022,ME,68920.97532,6833.264975,14169.12198,39053.54109,21002.38695,58995,42595,220,196,27489,207,93088,69152,869,843,232,197
+2/1/2022,ME,69077.20215,6817.859065,14203.27903,39099.4608,21021.13809,14164,10161,314,265,51925,326,56519,37876,547,519,0,0
+3/1/2022,ME,68983.93518,6778.298893,14186.10546,39004.80955,20964.40435,8714,5726,137,117,9640,138,14967,9631,285,275,0,0
+4/1/2022,ME,69276.04068,6789.428801,14274.27205,39200.33234,21063.70085,9034,6660,84,74,9290,84,19365,13719,334,316,0,0
+5/1/2022,ME,69285.41837,6772.989916,14303.95884,39235.6296,21076.94876,18397,12448,60,49,17822,60,32820,22001,478,467,0,0
+6/1/2022,ME,69028.19159,6730.763003,14278.1673,39119.47827,21008.93031,6682,4744,72,39,7024,69,12959,9215,327,313,0,0
+7/1/2022,ME,69207.22006,6761.293494,14406.15115,39425.0468,21167.44464,5838,4279,49,36,6071,52,12098,8924,353,347,0,0
+8/1/2022,ME,69136.46601,6767.398379,14481.98198,39587.96715,21249.38036,7152,5031,45,39,6811,45,11018,7696,337,330,0,0
+9/1/2022,ME,69013.24162,6768.287772,14546.26915,39719.60227,21314.55692,6902,4674,70,50,6918,68,7097,4798,281,272,0,0
+10/1/2022,ME,69526.33142,6766.835442,14605.07557,39836.58715,21371.91102,1935,1341,28,23,0,0,7420,4926,287,270,24,13
+11/1/2022,ME,70230.95299,6784.267513,14704.34784,40064.15138,21488.61535,0,0,0,0,0,,3840,2518,154,151,0,0
+12/1/2022,ME,70966.0361,6804.717609,14810.06979,40309.35269,21614.7874,0,0,0,0,0,,5001,3376,211,207,0,0
+1/1/2012,MI,419194.4128,30451.00329,73667.01737,219396.5144,104118.0207,0,0,0,0,0,,,,,,,
+2/1/2012,MI,418891.6905,30497.56392,73596.24625,219612.6375,104093.8102,0,0,0,0,0,,,,,,,
+3/1/2012,MI,418724.6202,30553.71735,73549.38086,219898.3306,104103.0982,0,0,0,0,0,,,,,,,
+4/1/2012,MI,419578.3683,30627.74117,73546.11847,220313.0194,104173.8596,0,0,0,0,0,,,,,,,
+5/1/2012,MI,421454.0436,30776.35985,73722.01449,221264.3102,104498.3743,0,0,0,0,0,,,,,,,
+6/1/2012,MI,423070.6892,30906.082,73852.35296,222079.5555,104758.435,0,0,0,0,0,,,,,,,
+7/1/2012,MI,424063.1976,31009.17385,73919.03115,222703.4289,104928.205,0,0,0,0,0,,,,,,,
+8/1/2012,MI,423785.0279,31019.23557,73764.60988,222659.6053,104783.8454,0,0,0,0,0,,,,,,,
+9/1/2012,MI,423639.5063,31038.8129,73633.95232,222684.8245,104672.7652,0,0,0,0,0,,,,,,,
+10/1/2012,MI,422664.0643,31060.12297,73508.46436,222723.1642,104568.5873,0,0,0,0,0,,,,,,,
+11/1/2012,MI,423228.4388,31194.37625,73650.67572,223571.6487,104845.052,0,0,0,0,0,,,,,,,
+12/1/2012,MI,423574.5032,31312.61619,73754.93325,224305.2698,105067.5494,0,0,0,0,0,,,,,,,
+1/1/2013,MI,425276.1765,31357.45847,73740.71888,224487.8638,105098.1773,0,0,0,0,0,,,,,,,
+2/1/2013,MI,426232.6506,31347.80273,73599.01209,224281.0774,104946.8148,0,0,0,0,0,,,,,,,
+3/1/2013,MI,429304.9108,31493.94197,73823.36201,225189.2638,105317.304,0,0,0,0,0,,,,,,,
+4/1/2013,MI,429856.8183,31623.54044,74008.69129,225978.8926,105632.2317,0,0,0,0,0,,,,,,,
+5/1/2013,MI,429791.7368,31707.75996,74087.80484,226444.2299,105795.5648,0,0,0,0,0,,,,,,,
+6/1/2013,MI,429081.4794,31744.13206,74055.44909,226568.242,105799.5811,0,0,0,0,0,,,,,,,
+7/1/2013,MI,429973.5251,31809.19516,74090.42399,226897.4913,105899.6192,0,0,0,0,0,,,,,,,
+8/1/2013,MI,430736.0194,31864.67671,74103.40525,227158.7693,105968.082,0,0,0,0,0,,,,,,,
+9/1/2013,MI,431989.0694,31956.45002,74201.00935,227679.0251,106157.4594,0,0,0,0,0,,,,,,,
+10/1/2013,MI,432464.7241,32006.56364,74202.12278,227902.748,106208.6864,0,0,0,0,0,,,,,,,
+11/1/2013,MI,432994.0159,32060.59848,74212.70077,228154.8244,106273.2992,0,0,0,0,0,,,,,,,
+12/1/2013,MI,433334.8027,32100.62302,74191.25426,228307.6682,106291.8773,0,0,0,0,0,,,,,,,
+1/1/2014,MI,431865.1779,32215.38356,74242.31832,228631.7683,106457.7019,0,0,0,0,0,,,,,,,
+2/1/2014,MI,430964.6791,32372.04167,74390.46754,229254.4314,106762.5092,0,0,0,0,0,,,,,,,
+3/1/2014,MI,429457.1058,32482.51953,74433.04272,229551.3102,106915.5623,0,0,0,0,0,,,,,,,
+4/1/2014,MI,431772.3359,32594.45991,74479.79729,229860.4271,107074.2572,0,0,0,0,0,,,,,,,
+5/1/2014,MI,434171.4034,32712.95873,74542.30187,230217.5497,107255.2606,0,0,0,0,0,,,,,,,
+6/1/2014,MI,436820.692,32850.4877,74648.76013,230709.9529,107499.2478,0,0,0,0,0,,,,,,,
+7/1/2014,MI,438325.0961,32975.23985,74726.72578,231113.8676,107701.9656,0,0,0,0,0,,,,,,,
+8/1/2014,MI,440541.1413,33153.5129,74926.25941,231893.5422,108079.7723,0,0,0,0,0,,,,,,,
+9/1/2014,MI,442590.4286,33319.23491,75097.45356,232585.4869,108416.6885,0,0,0,0,0,,,,,,,
+10/1/2014,MI,443704.5078,33501.74942,75306.49596,233394.6519,108808.2454,0,0,0,0,0,,,,,,,
+11/1/2014,MI,445047.8186,33701.6722,75554.46436,234324.6232,109256.1366,0,0,0,0,0,,,,,,,
+12/1/2014,MI,446735.7684,33927.91918,75860.98698,235436.565,109788.9062,0,0,0,0,0,,,,,,,
+1/1/2015,MI,451127.6045,34265.41583,76185.22585,237327.3232,110450.6417,0,0,0,0,0,,,,,,,
+2/1/2015,MI,452701.8337,34388.91271,76032.39018,237734.5552,110421.3029,0,0,0,0,0,,,,,,,
+3/1/2015,MI,454147.193,34502.60622,75859.39551,238075.6046,110362.0017,0,0,0,0,0,,,,,,,
+4/1/2015,MI,455988.5013,34655.55664,75773.8477,238688.7248,110429.4043,0,0,0,0,0,,,,,,,
+5/1/2015,MI,457085.8053,34751.92104,75565.89857,238913.4983,110317.8196,0,0,0,0,0,,,,,,,
+6/1/2015,MI,458381.8066,34863.33643,75392.47842,239243.6337,110255.8149,0,0,0,0,0,,,,,,,
+7/1/2015,MI,459538.642,35013.20398,75303.35328,239838.8373,110316.5573,0,0,0,0,0,,,,,,,
+8/1/2015,MI,461067.6837,35191.37939,75275.45227,240628.307,110466.8317,0,0,0,0,0,,,,,,,
+9/1/2015,MI,463286.41,35422.28601,75359.74305,241777.7062,110782.0291,0,0,0,0,0,,,,,,,
+10/1/2015,MI,464036.7695,35606.23519,75343.47141,242605.8995,110949.7066,0,0,0,0,0,,,,,,,
+11/1/2015,MI,464436.52,35763.22292,75270.33718,243250.5863,111033.5601,0,0,0,0,0,,,,,,,
+12/1/2015,MI,465497.5642,35971.15822,75304.34951,244241.7169,111275.5077,0,0,0,0,0,,,,,,,
+1/1/2016,MI,465695.797,36091.26446,75409.89875,244993.6031,111501.1551,0,0,0,0,0,,,,,,,
+2/1/2016,MI,466421.8051,36252.28428,75600.91823,246023.2108,111853.1864,0,0,0,0,0,,,,,,,
+3/1/2016,MI,465780.868,36306.88242,75570.24961,246330.7032,111877.1079,0,0,0,0,0,,,,,,,
+4/1/2016,MI,467223.7366,36325.15595,75464.78141,246392.0968,111789.9053,0,0,0,0,0,,,,,,,
+5/1/2016,MI,469504.5058,36409.02155,75496.2636,246898.6971,111905.2451,0,0,0,0,0,,,,,,,
+6/1/2016,MI,471579.2657,36477.22582,75495.75234,247299.3041,111972.9302,0,0,0,0,0,,,,,,,
+7/1/2016,MI,471483.7168,36599.52375,75607.52461,248066.7847,112206.9924,0,0,0,0,0,,,,,,,
+8/1/2016,MI,470877.9006,36681.96422,75637.22766,248564.2337,112319.128,0,0,0,0,0,,,,,,,
+9/1/2016,MI,470161.4461,36755.36799,75648.74946,249000.6456,112404.0457,0,0,0,0,0,,,,,,,
+10/1/2016,MI,470600.6846,36810.94485,75624.12918,249316.5277,112434.9945,0,0,0,0,0,,,,,,,
+11/1/2016,MI,471896.2535,36933.45003,75737.36478,250085.8645,112670.7274,0,0,0,0,0,,,,,,,
+12/1/2016,MI,472510.4507,37002.58053,75741.45138,250493.92,112743.9367,0,0,0,0,0,,,,,,,
+1/1/2017,MI,470839.1204,37004.43357,75796.30262,250276.2045,112800.6492,0,0,0,0,0,,,,,,,
+2/1/2017,MI,470197.8782,37086.54605,76015.28212,250602.5228,113101.7492,0,0,0,0,0,,,,,,,
+3/1/2017,MI,470537.664,37245.90568,76392.54303,251451.0435,113638.3776,0,0,0,0,0,,,,,,,
+4/1/2017,MI,470704.248,37302.85721,76559.67872,251608.5704,113862.4729,0,0,0,0,0,,,,,,,
+5/1/2017,MI,472037.1001,37452.15077,76916.23941,252389.3792,114368.335,0,0,0,0,0,,,,,,,
+6/1/2017,MI,472784.6714,37554.97803,77177.33781,252857.2036,114732.2686,0,0,0,0,0,,,,,,,
+7/1/2017,MI,473464.7871,37683.93769,77492.07939,253501.2487,115175.9777,0,0,0,0,0,,,,,,,
+8/1/2017,MI,473143.4685,37732.99527,77642.38294,253608.375,115375.3468,0,0,0,0,0,,,,,,,
+9/1/2017,MI,472170.9816,37729.6673,77684.59306,253364.7679,115414.2369,0,0,0,0,0,,,,,,,
+10/1/2017,MI,473392.3437,37811.61703,77902.13287,253694.9747,115713.7343,0,0,0,0,0,,,,,,,
+11/1/2017,MI,474521.2575,37886.23138,78104.40752,253976.6518,115990.6311,0,0,0,0,0,,,,,,,
+12/1/2017,MI,475744.2513,37968.40531,78322.11628,254309.6841,116290.5216,0,0,0,0,0,,,,,,,
+1/1/2018,MI,478325.1678,37985.94164,78314.81343,254248.5625,116300.7628,0,0,0,0,0,,,,,,,
+2/1/2018,MI,481419.4967,38045.3736,78394.14634,254468.9276,116439.5354,0,0,0,0,0,,,,,,,
+3/1/2018,MI,484997.7268,38143.7598,78553.91224,254950.5228,116697.6952,0,0,0,0,0,,,,,,,
+4/1/2018,MI,485098.4986,38220.97517,78670.22262,255291.2052,116891.2287,0,0,0,0,0,,,,,,,
+5/1/2018,MI,485225.7848,38300.01325,78790.44855,255644.7352,117090.5003,0,0,0,0,0,,,,,,,
+6/1/2018,MI,485715.5387,38407.4522,78969.22921,256188.3638,117376.7276,0,0,0,0,0,,,,,,,
+7/1/2018,MI,485453.2653,38523.17134,79165.12171,256787.581,117688.3468,0,0,0,0,0,,,,,,,
+8/1/2018,MI,485258.5513,38644.01885,79371.62449,257421.2764,118015.7048,0,0,0,0,0,,,,,,,
+9/1/2018,MI,484390.5534,38710.84625,79467.29754,257695.6308,118178.2128,0,0,0,0,0,,,,,,,
+10/1/2018,MI,483165.9995,38795.18441,79599.07826,258087.2137,118394.3392,0,0,0,0,0,,,,,,,
+11/1/2018,MI,482569.2322,38929.54265,79833.57652,258811.9175,118763.2033,0,0,0,0,0,,,,,,,
+12/1/2018,MI,482074.6667,39072.03347,80084.77764,259590.7919,119156.9029,0,0,0,0,0,,,,,,,
+1/1/2019,MI,482917.2822,39128.52406,80231.15734,260269.04,119359.7655,0,0,0,0,0,,,,,,,
+2/1/2019,MI,482949.0163,39119.32946,80242.80933,260509.9439,119362.2151,0,0,0,0,0,,,,,,,
+3/1/2019,MI,482415.7781,39064.42166,80160.56303,260445.1404,119225.0532,0,0,0,0,0,,,,,,,
+4/1/2019,MI,482434.3232,38995.59726,80049.58402,260285.8141,119045.242,0,0,0,0,0,,,,,,,
+5/1/2019,MI,483598.9841,39019.67879,80129.20702,260745.4835,119148.9389,0,0,0,0,0,,,,,,,
+6/1/2019,MI,484748.8061,39042.66157,80206.53113,261197.3894,119249.2382,0,0,0,0,0,,,,,,,
+7/1/2019,MI,486433.2903,39037.22425,80225.40587,261458.5188,119262.668,0,0,0,0,0,,,,,,,
+8/1/2019,MI,488649.1967,39074.68613,80332.38901,262006.4408,119407.1054,0,0,0,0,0,,,,,,,
+9/1/2019,MI,490698.7759,39098.99099,80412.29232,262465.837,119511.306,0,0,0,0,0,,,,,,,
+10/1/2019,MI,491385.4602,39073.30598,80389.30597,262588.8779,119462.627,0,0,0,0,0,,,,,,,
+11/1/2019,MI,492826.7055,39107.81154,80490.0847,263115.7233,119597.9038,0,0,0,0,0,,,,,,,
+12/1/2019,MI,493280.3244,39064.17064,80429.94148,263115.9695,119494.1121,0,0,0,0,0,,,,,,,
+1/1/2020,MI,491115.5778,39178.54954,80305.66472,261710.9307,119484.2143,0,0,0,0,0,0,252,185,29,28,0,0
+2/1/2020,MI,489319.9184,39321.50896,80241.04919,260503.3312,119562.5581,0,0,0,0,0,0,288,154,63,53,0,0
+3/1/2020,MI,489164.8018,39596.61265,80445.70671,260168.8488,120042.3194,19903,19421,558,514,7951,292,27275,25587,10427,10399,2561,2548
+4/1/2020,MI,472994.3969,39996.28074,80900.75625,260636.6284,120897.037,34532,32213,3944,3736,35527,3699,33141,31257,7828,7754,3664,3538
+5/1/2020,MI,453741.7802,40142.85973,80842.37251,259446.0277,120985.2322,43686,38520,1430,1381,19233,1740,19087,18410,1852,1834,344,334
+6/1/2020,MI,433442.7429,40188.35895,80582.05262,257611.9679,120770.4116,27082,23586,377,371,8017,462,13573,13143,784,778,44,44
+7/1/2020,MI,452067.6978,40257.80575,80372.02595,255945.1752,120629.8317,41363,37475,236,227,19846,257,28012,26737,1471,1464,0,0
+8/1/2020,MI,470528.7329,40322.14054,80153.87469,254258.4664,120476.0152,39178,35519,290,287,22451,303,28962,27642,1436,1432,106,106
+9/1/2020,MI,489477.8386,40435.65714,80035.16615,252892.0242,120470.8233,36796,33019,290,279,24989,330,37712,36798,1733,1726,84,84
+10/1/2020,MI,491160.5522,40609.41531,80036.424,251906.7516,120645.8393,66505,60905,672,635,59392,616,87812,87697,4413,4409,680,658
+11/1/2020,MI,492917.2413,40789.27337,80049.86597,250960.2968,120839.1393,173167,163156,2377,2275,191536,1865,200689,200442,9116,9102,3334,3323
+12/1/2020,MI,492617.9224,40798.84084,79730.62862,248975.3009,120529.4695,107516,97938,3642,3333,139679,3454,188965,188576,7742,7730,2969,2911
+1/1/2021,MI,491684.2093,41332.72785,80389.35719,249878.8745,121722.085,63934,55097,2008,1840,81517,2507,161783,156040,5167,5057,1257,1193
+2/1/2021,MI,490996.5976,41882.90649,81082.4975,250897.6254,122965.404,34918,28652,820,777,35412,983,66722,62439,2507,2456,271,259
+3/1/2021,MI,489049.2995,42320.01109,81560.16791,251260.0324,123880.179,110358,93881,661,609,100801,611,168397,158635,5490,5398,486,459
+4/1/2021,MI,492190.7188,42776.30911,82078.90544,251761.352,124855.2146,157899,138908,1862,1743,190116,1634,248877,237239,7948,7786,1954,1876
+5/1/2021,MI,495406.8287,43237.20377,82610.15163,252312.306,125847.3554,39926,33951,1440,1377,55474,1623,105560,101109,3783,3721,696,676
+6/1/2021,MI,498340.089,43671.50825,83094.28537,252730.6899,126765.7936,6259,5211,438,403,8078,623,61389,60774,1117,1106,24,24
+7/1/2021,MI,497752.4874,44143.23711,83653.0702,253386.7306,127796.3073,13080,11019,160,149,11087,189,65794,64095,1217,1204,0,0
+8/1/2021,MI,497469.0839,44637.50816,84257.41129,254189.5389,128894.9194,46562,40150,231,208,49237,359,84137,78444,3162,3075,182,178
+9/1/2021,MI,497588.0077,45164.22248,84925.30477,255191.254,130089.5273,91984,77824,392,328,89721,808,123861,114184,3471,3401,441,416
+10/1/2021,MI,498285.1403,45568.27178,85365.38445,255517.2698,130933.6562,120455,101990,694,570,125039,1307,169656,156590,4791,4691,1127,1064
+11/1/2021,MI,498763.2826,45948.2868,85764.1709,255731.3593,131712.4577,209153,180423,1057,860,199950,1737,220260,201217,7139,6958,2935,2730
+12/1/2021,MI,499571.6966,46354.87753,86216.1207,256115.1454,132570.9982,226015,198475,1649,1295,235272,3621,261195,243230,6832,6710,3492,3270
+1/1/2022,MI,500505.989,46334.30011,86340.00592,256381.6346,132674.306,548194,473280,1535,1146,548140,3243,408383,371146,5614,5491,2825,2596
+2/1/2022,MI,501092.5461,46282.7223,86404.3197,256472.3577,132687.042,101934,76138,2242,1974,101934,2242,451269,438307,2281,2235,796,732
+3/1/2022,MI,499877.5974,46066.36526,86158.5587,255644.2207,132224.924,27303,22201,1186,1032,27122,1157,262121,255069,985,971,86,79
+4/1/2022,MI,502395.7674,46193.90769,86554.18727,256720.3014,132748.095,37419,31598,311,277,38425,340,210766,186441,1164,1135,26,20
+5/1/2022,MI,502860.3707,46133.4628,86596.32734,256748.7122,132729.7901,101885,85949,355,302,101885,355,172831,145524,1939,1882,206,185
+6/1/2022,MI,501383.7522,45896.55256,86304.77201,255789.2755,132201.3246,78600,66093,561,441,78600,561,106409,91574,1438,1406,137,114
+7/1/2022,MI,504140.3492,46155.31577,86943.92219,257589.1027,133099.238,65881,54890,510,381,65881,510,117164,99291,1597,1541,122,110
+8/1/2022,MI,505074.8685,46247.25204,87268.55145,258457.2611,133515.8035,98047,81248,610,500,98047,610,119255,99085,1702,1659,216,174
+9/1/2022,MI,505617.2173,46303.24033,87524.42531,259122.3601,133827.6656,65808,51457,586,470,65808,586,86801,68452,1211,1172,246,205
+10/1/2022,MI,506131.6129,46342.85004,87748.26209,259693.2749,134091.1121,12880,10118,143,120,0,0,69797,54914,1217,1177,269,214
+11/1/2022,MI,508055.5377,46511.55567,88215.83269,260985.9592,134727.3884,0,0,0,0,0,,296807,185647,1097,1058,231,204
+12/1/2022,MI,510204.5526,46700.87894,88722.28766,262393.8178,135423.1666,0,0,0,0,0,,53413,41704,1197,1173,215,184
+1/1/2012,MN,293890.8746,22715.3328,43110.97799,135884.8488,65826.31918,0,0,0,0,0,,,,,,,
+2/1/2012,MN,294888.4089,22717.46446,43092.70514,135937.3315,65810.18635,0,0,0,0,0,,,,,,,
+3/1/2012,MN,295976.4376,22726.87622,43088.33409,136033.213,65815.23537,0,0,0,0,0,,,,,,,
+4/1/2012,MN,296195.7022,22749.68458,43109.43331,136209.1536,65859.15126,0,0,0,0,0,,,,,,,
+5/1/2012,MN,297136.4557,22827.90665,43235.54277,136716.8652,66063.49119,0,0,0,0,0,,,,,,,
+6/1/2012,MN,297893.9661,22892.0605,43334.97152,137140.3855,66227.08216,0,0,0,0,0,,,,,,,
+7/1/2012,MN,298823.2404,22936.48486,43397.04899,137445.7172,66333.59234,0,0,0,0,0,,,,,,,
+8/1/2012,MN,298856.2578,22912.21584,43329.23641,137339.2622,66241.51886,0,0,0,0,0,,,,,,,
+9/1/2012,MN,298981.3606,22895.17728,43275.23685,137275.8993,66170.48885,0,0,0,0,0,,,,,,,
+10/1/2012,MN,298387.7152,22879.60507,43224.13924,137221.0965,66103.82709,0,0,0,0,0,,,,,,,
+11/1/2012,MN,298880.9152,22947.30094,43330.40119,137665.6081,66277.79324,0,0,0,0,0,,,,,,,
+12/1/2012,MN,299220.0253,23003.19108,43414.35289,138039.3268,66417.64337,0,0,0,0,0,,,,,,,
+1/1/2013,MN,300168.1765,23035.43612,43348.25755,138198.3291,66383.78462,0,0,0,0,0,,,,,,,
+2/1/2013,MN,300591.7593,23027.65036,43207.53753,138117.3633,66235.27028,0,0,0,0,0,,,,,,,
+3/1/2013,MN,302508.0427,23134.311,43281.85166,138722.9146,66416.2369,0,0,0,0,0,,,,,,,
+4/1/2013,MN,303524.3303,23228.81994,43333.16823,139255.5278,66562.05421,0,0,0,0,0,,,,,,,
+5/1/2013,MN,304105.0391,23289.99604,43322.28657,139588.3081,66612.34036,0,0,0,0,0,,,,,,,
+6/1/2013,MN,304227.4865,23316.02916,43246.3844,139710.5544,66562.46295,0,0,0,0,0,,,,,,,
+7/1/2013,MN,305894.7846,23363.13811,43209.995,139959.2024,66573.17422,0,0,0,0,0,,,,,,,
+8/1/2013,MN,307467.0476,23403.21151,43160.93653,140165.7965,66564.18087,0,0,0,0,0,,,,,,,
+9/1/2013,MN,309387.4938,23469.94092,43161.27523,140532.1024,66631.24077,0,0,0,0,0,,,,,,,
+10/1/2013,MN,309707.6673,23506.07538,43105.60482,140715.2828,66611.69658,0,0,0,0,0,,,,,,,
+11/1/2013,MN,310066.3192,23545.09182,43055.61554,140915.8234,66600.71554,0,0,0,0,0,,,,,,,
+12/1/2013,MN,310290.0552,23573.82156,42987.2458,141054.9156,66561.06736,0,0,0,0,0,,,,,,,
+1/1/2014,MN,309738.132,23603.01499,42934.01318,141302.341,66537.02002,0,0,0,0,0,,,,,,,
+2/1/2014,MN,309593.1456,23663.04142,42937.1299,141734.1717,66600.15504,0,0,0,0,0,,,,,,,
+3/1/2014,MN,309010.7565,23689.45223,42879.52371,141964.4686,66568.95156,0,0,0,0,0,,,,,,,
+4/1/2014,MN,310656.7908,23717.14262,42824.64815,142202.1504,66541.75832,0,0,0,0,0,,,,,,,
+5/1/2014,MN,312363.2177,23749.80162,42779.12727,142469.361,66528.88841,0,0,0,0,0,,,,,,,
+6/1/2014,MN,314249.721,23796.4284,42759.06245,142820.1582,66555.44233,0,0,0,0,0,,,,,,,
+7/1/2014,MN,315512.5174,23833.93901,42722.88981,143116.0561,66556.7723,0,0,0,0,0,,,,,,,
+8/1/2014,MN,317287.3153,23910.20609,42756.33135,143644.5784,66666.47283,0,0,0,0,0,,,,,,,
+9/1/2014,MN,318941.9881,23977.42798,42773.61123,144118.7514,66750.96654,0,0,0,0,0,,,,,,,
+10/1/2014,MN,319033.344,24056.73422,42812.44851,144665.5585,66869.10196,0,0,0,0,0,,,,,,,
+11/1/2014,MN,319288.7997,24148.48817,42873.33411,145287.2914,67021.73337,0,0,0,0,0,,,,,,,
+12/1/2014,MN,319789.8776,24258.98582,42967.26248,146021.9545,67226.15116,0,0,0,0,0,,,,,,,
+1/1/2015,MN,322605.2799,24486.97116,43082.31266,147193.8792,67569.19436,0,0,0,0,0,,,,,,,
+2/1/2015,MN,323404.8171,24561.98726,42927.37624,147445.697,67489.2823,0,0,0,0,0,,,,,,,
+3/1/2015,MN,324113.4483,24630.04833,42761.30253,147656.4703,67391.27792,0,0,0,0,0,,,,,,,
+4/1/2015,MN,323949.5676,24726.1685,42644.70573,148035.9861,67370.80945,0,0,0,0,0,,,,,,,
+5/1/2015,MN,323261.7589,24781.95645,42459.43846,148174.6497,67241.33836,0,0,0,0,0,,,,,,,
+6/1/2015,MN,322720.7903,24848.53322,42293.8678,148378.6621,67142.35265,0,0,0,0,0,,,,,,,
+7/1/2015,MN,323382.1212,24942.55179,42175.77331,148747.0716,67118.28482,0,0,0,0,0,,,,,,,
+8/1/2015,MN,324305.5045,25056.74678,42092.02581,149235.9648,67148.74036,0,0,0,0,0,,,,,,,
+9/1/2015,MN,325713.774,25208.46847,42070.91268,149948.0826,67279.35695,0,0,0,0,0,,,,,,,
+10/1/2015,MN,326544.4997,25326.75214,41993.54791,150460.9905,67320.2839,0,0,0,0,0,,,,,,,
+11/1/2015,MN,327128.36,25425.86392,41884.52184,150860.0904,67310.3777,0,0,0,0,0,,,,,,,
+12/1/2015,MN,328178.0675,25561.19435,41835.10406,151474.0492,67396.29841,0,0,0,0,0,,,,,,,
+1/1/2016,MN,327847.0434,25645.06579,41832.19432,151887.0798,67477.26011,0,0,0,0,0,,,,,,,
+2/1/2016,MN,327887.5199,25758.00869,41876.69101,152472.282,67634.6997,0,0,0,0,0,,,,,,,
+3/1/2016,MN,326967.8492,25795.33924,41798.49441,152610.0444,67593.83365,0,0,0,0,0,,,,,,,
+4/1/2016,MN,326870.7319,25806.87003,41679.26824,152595.6355,67486.13827,0,0,0,0,0,,,,,,,
+5/1/2016,MN,327365.0904,25865.007,41635.97078,152857.2024,67500.97778,0,0,0,0,0,,,,,,,
+6/1/2016,MN,327719.5104,25912.02304,41575.23398,153053.3237,67487.25702,0,0,0,0,0,,,,,,,
+7/1/2016,MN,329493.3697,25997.46845,41576.47112,153476.6227,67573.93956,0,0,0,0,0,,,,,,,
+8/1/2016,MN,330907.1225,26054.60491,41532.69333,153732.9539,67587.29824,0,0,0,0,0,,,,,,,
+9/1/2016,MN,332237.1957,26105.32734,41479.12582,153951.7001,67584.45316,0,0,0,0,0,,,,,,,
+10/1/2016,MN,332061.6622,26143.39384,41405.97663,154096.1261,67549.37046,0,0,0,0,0,,,,,,,
+11/1/2016,MN,332491.621,26228.99694,41408.46101,154520.9522,67637.45795,0,0,0,0,0,,,,,,,
+12/1/2016,MN,332442.5569,26276.69806,41351.40025,154722.6639,67628.09831,0,0,0,0,0,,,,,,,
+1/1/2017,MN,332411.2654,26323.81635,41318.59853,154710.7035,67642.41487,0,0,0,0,0,,,,,,,
+2/1/2017,MN,333101.1967,26427.78883,41375.59597,155034.4006,67803.3848,0,0,0,0,0,,,,,,,
+3/1/2017,MN,334484.9875,26586.76264,41518.80829,155681.0363,68105.57093,0,0,0,0,0,,,,,,,
+4/1/2017,MN,333517.7725,26672.56141,41547.92076,155899.657,68220.48217,0,0,0,0,0,,,,,,,
+5/1/2017,MN,333378.9911,26824.3011,41679.94936,156504.2394,68504.25046,0,0,0,0,0,,,,,,,
+6/1/2017,MN,332827.5764,26942.73024,41760.28918,156914.6624,68703.01942,0,0,0,0,0,,,,,,,
+7/1/2017,MN,332636.729,27079.8533,41869.72878,157434.2967,68949.58208,0,0,0,0,0,,,,,,,
+8/1/2017,MN,331744.0673,27159.44187,41890.47974,157620.1697,69049.92161,0,0,0,0,0,,,,,,,
+9/1/2017,MN,330398.9069,27201.05455,41853.27868,157587.3313,69054.33323,0,0,0,0,0,,,,,,,
+10/1/2017,MN,331746.0556,27303.91881,41910.85002,157910.775,69214.76883,0,0,0,0,0,,,,,,,
+11/1/2017,MN,333026.882,27401.34956,41960.39473,158203.643,69361.74429,0,0,0,0,0,,,,,,,
+12/1/2017,MN,334372.2191,27504.11292,42018.41466,158528.1361,69522.52758,0,0,0,0,0,,,,,,,
+1/1/2018,MN,335830.9271,27532.39042,42022.49554,158584.3455,69554.8782,0,0,0,0,0,,,,,,,
+2/1/2018,MN,337652.2184,27590.94077,42073.01587,158815.5633,69663.94115,0,0,0,0,0,,,,,,,
+3/1/2018,MN,339814.2461,27677.68169,42166.67285,159209.4556,69844.33135,0,0,0,0,0,,,,,,,
+4/1/2018,MN,340651.6773,27749.00915,42236.97695,159515.0387,69985.95523,0,0,0,0,0,,,,,,,
+5/1/2018,MN,341504.78,27821.60121,42309.35304,159828.293,70130.91574,0,0,0,0,0,,,,,,,
+6/1/2018,MN,342610.6705,27914.77792,42413.14844,160260.1161,70327.8802,0,0,0,0,0,,,,,,,
+7/1/2018,MN,343593.9013,28013.94154,42526.11829,160726.5235,70540.00603,0,0,0,0,0,,,,,,,
+8/1/2018,MN,344622.9563,28116.80891,42644.7746,161214.3555,70761.52206,0,0,0,0,0,,,,,,,
+9/1/2018,MN,345170.4096,28180.32794,42703.86158,161476.8756,70884.12055,0,0,0,0,0,,,,,,,
+10/1/2018,MN,345115.5852,28256.53667,42782.32223,161812.5023,71038.78239,0,0,0,0,0,,,,,,,
+11/1/2018,MN,345507.4379,28369.14627,42915.97457,162356.7941,71285.03672,0,0,0,0,0,,,,,,,
+12/1/2018,MN,345971.961,28487.67329,43058.60117,162935.013,71546.18271,0,0,0,0,0,,,,,,,
+1/1/2019,MN,345641.3127,28554.89385,43098.47491,163272.3648,71653.28464,0,0,0,0,0,,,,,,,
+2/1/2019,MN,344731.6133,28574.14228,43066.03082,163335.4864,71640.09675,0,0,0,0,0,,,,,,,
+3/1/2019,MN,343422.6035,28559.88962,42983.35663,163207.3088,71543.17773,0,0,0,0,0,,,,,,,
+4/1/2019,MN,343834.7908,28535.31305,42885.49827,163020.4044,71420.75059,0,0,0,0,0,,,,,,,
+5/1/2019,MN,345062.324,28578.62414,42889.89677,163221.5127,71468.46781,0,0,0,0,0,,,,,,,
+6/1/2019,MN,346278.7101,28621.09428,42893.11866,163417.8833,71514.16746,0,0,0,0,0,,,,,,,
+7/1/2019,MN,347868.3973,28642.67505,42865.16522,163495.0815,71507.80242,0,0,0,0,0,,,,,,,
+8/1/2019,MN,349837.4375,28695.68639,42884.35695,163751.7706,71580.01308,0,0,0,0,0,,,,,,,
+9/1/2019,MN,351687.0072,28739.00932,42889.13136,163953.2198,71628.118,0,0,0,0,0,,,,,,,
+10/1/2019,MN,352250.437,28745.52101,42839.12772,163944.7851,71584.63364,0,0,0,0,0,,,,,,,
+11/1/2019,MN,353354.6063,28796.25355,42855.16751,164188.6638,71651.41352,0,0,0,0,0,,,,,,,
+12/1/2019,MN,353750.4515,28789.37292,42785.6343,164104.1757,71575.00722,0,0,0,0,0,,,,,,,
+1/1/2020,MN,351659.6661,28863.18773,42721.44055,162777.9856,71584.62828,0,0,0,0,0,0,0,0,0,0,0,0
+2/1/2020,MN,349834.7889,28958.08949,42688.97992,161575.9581,71647.06942,0,0,0,0,0,0,32,32,8,8,0,0
+3/1/2020,MN,349182.2168,29150.29687,42799.77712,160914.9868,71950.07399,689,689,17,17,629,12,2496,2486,644,644,56,56
+4/1/2020,MN,341846.7181,29434.12829,43043.80562,160746.785,72477.93391,4447,4447,326,326,4507,331,16598,16580,2500,2494,966,966
+5/1/2020,MN,332302.1878,29531.66203,43014.66657,159553.8333,72546.3286,20072,20072,717,707,19714,707,36446,36424,3922,3920,986,986
+6/1/2020,MN,321970.3646,29554.88234,42878.07235,157967.2855,72432.95469,11508,11508,422,395,11453,426,23430,23430,1686,1686,25,25
+7/1/2020,MN,329122.4911,29595.78021,42768.22692,156486.2957,72364.00713,18472,18472,164,161,18160,164,40386,40382,2338,2338,0,0
+8/1/2020,MN,336193.5237,29632.98059,42654.04673,154995.8861,72287.02731,20676,20676,220,211,21401,226,41780,41772,2582,2580,138,138
+9/1/2020,MN,343642.9448,29706.37381,42592.77593,153702.9513,72299.14974,23270,23270,223,219,23270,223,52572,51884,2891,2889,266,256
+10/1/2020,MN,345657.2143,29824.04521,42595.3443,152642.6656,72419.38951,49338,48697,422,402,49338,422,124325,121061,6547,6501,861,809
+11/1/2020,MN,347723.1506,29946.20117,42604.39615,151606.1215,72550.59732,170291,164262,1141,1083,170291,1141,366503,350488,14735,14441,3132,2906
+12/1/2020,MN,348334.9978,29943.3794,42436.37985,149944.2711,72379.75925,96539,88865,1730,1630,96539,1730,157830,145014,8282,7774,1556,1396
+1/1/2021,MN,349315.0535,30234.84896,42718.2834,150710.3426,72953.13236,46505,40820,886,801,46505,886,76766,66562,4009,3735,243,227
+2/1/2021,MN,350458.1522,30538.94707,43018.9623,151544.294,73557.90937,22787,19225,283,260,22787,283,44225,37332,2375,2217,0,0
+3/1/2021,MN,350687.0424,30761.49324,43205.94111,151979.79,73967.43435,34044,27932,237,123,34935,375,82169,68447,3986,3648,22,22
+4/1/2021,MN,352789.9356,30999.05461,43415.41344,152496.8925,74414.46804,56283,47210,311,278,56283,311,109725,91789,5864,5370,24,24
+5/1/2021,MN,354947.9035,31240.90961,43632.17325,153041.8528,74873.08285,25638,21035,282,265,25572,282,39451,32889,2804,2640,0,0
+6/1/2021,MN,356904.7619,31464.51523,43824.72414,153504.1747,75289.23938,3915,3263,168,158,3981,168,8004,6722,1006,964,0,0
+7/1/2021,MN,356240.6095,31715.98296,44057.27846,154108.7502,75773.26143,7543,6194,76,73,7336,74,22234,18757,1760,1645,0,0
+8/1/2021,MN,355796.234,31984.38734,44314.34853,154800.8485,76298.73587,37056,32739,136,130,37263,143,83623,73762,4625,4425,32,32
+9/1/2021,MN,355641.3088,32276.64201,44605.27104,155612.6507,76881.91305,61130,51189,296,250,61130,352,138105,116361,6064,5632,209,195
+10/1/2021,MN,356688.4862,32481.9755,44777.06654,156010.6487,77259.04204,76456,64352,537,478,76456,537,156649,130449,6848,6426,469,419
+11/1/2021,MN,357572.4478,32671.15059,44927.89763,156337.9653,77599.04822,116866,93663,713,661,124820,713,246831,196352,10390,9565,1044,943
+12/1/2021,MN,358686.9851,32880.15079,45107.24413,156766.7724,77987.39492,109842,86499,1150,1045,109842,1150,268807,212654,9325,8702,540,494
+1/1/2022,MN,358706.4148,32867.43841,45272.38586,156996.0617,78139.82428,299541,240471,905,1539,299541,905,608613,489238,12833,12363,800,697
+2/1/2022,MN,358483.8601,32832.71481,45405.17677,157116.9848,78237.89157,91823,74930,728,698,91823,728,92503,77119,4088,3990,37,29
+3/1/2022,MN,356982.3031,32681.06923,45373.51324,156674.0094,78054.58247,15974,13353,349,299,15974,349,25862,21677,1631,1611,0,0
+4/1/2022,MN,359419.9715,32773.37677,45678.50963,157397.3166,78451.8864,22997,19111,140,100,22997,140,56012,46775,2102,2052,0,0
+5/1/2022,MN,360383.4015,32732.29763,45796.18425,157477.78,78528.48188,54621,45245,165,125,54621,165,115062,94381,4322,4155,34,28
+6/1/2022,MN,359945.6733,32565.98549,45735.87991,156951.3489,78301.86541,45672,37328,184,173,45672,184,85563,69933,3873,3759,11,8
+7/1/2022,MN,363169.1208,32751.36349,46167.95114,158117.438,78919.31462,37724,30444,166,147,37724,166,83071,66893,4237,4122,0,0
+8/1/2022,MN,365077.832,32818.35963,46432.84732,158711.5285,79251.20695,40255,32712,136,125,40255,136,73590,60023,3903,3810,26,16
+9/1/2022,MN,366695.5555,32859.83537,46660.59893,159180.554,79520.4343,33978,27981,222,207,33978,222,26597,22073,1944,1887,19,15
+10/1/2022,MN,366365.2777,32889.67526,46870.61511,159591.2873,79760.29037,5968,5025,44,40,0,0,23194,19166,2043,1970,33,20
+11/1/2022,MN,367058.616,33011.12679,47210.39355,160445.292,80221.52034,0,0,0,0,0,,23433,20035,2230,2173,85,53
+12/1/2022,MN,367915.6151,33147.20894,47570.84826,161370.0134,80718.05719,0,0,0,0,0,,24060,20362,2422,2372,70,37
+1/1/2012,NJ,510998.2246,37266.86333,80698.55421,247494.0011,117965.5182,0,0,0,0,0,,,,,,,
+2/1/2012,NJ,512729.8542,37244.19442,80660.45507,247644.6163,117904.7499,0,0,0,0,0,,,,,,,
+3/1/2012,NJ,514618.8399,37233.56896,80648.39324,247874.0663,117882.0625,0,0,0,0,0,,,,,,,
+4/1/2012,NJ,514489.1822,37244.97493,80684.01658,248249.2206,117929.0916,0,0,0,0,0,,,,,,,
+5/1/2012,NJ,515612.8409,37347.10722,80916.1788,249229.0368,118263.3863,0,0,0,0,0,,,,,,,
+6/1/2012,NJ,516417.6964,37426.1815,81098.40127,250055.4642,118524.6831,0,0,0,0,0,,,,,,,
+7/1/2012,NJ,518700.0201,37472.99646,81210.72288,250666.3993,118683.8196,0,0,0,0,0,,,,,,,
+8/1/2012,NJ,519424.1319,37407.67758,81079.99001,250526.1387,118487.7675,0,0,0,0,0,,,,,,,
+9/1/2012,NJ,520304.0477,37354.3271,80975.12926,250464.1409,118329.556,0,0,0,0,0,,,,,,,
+10/1/2012,NJ,517468.4387,37303.52182,80875.72137,250417.4406,118179.3425,0,0,0,0,0,,,,,,,
+11/1/2012,NJ,516521.7823,37388.53714,81070.75411,251281.827,118459.3906,0,0,0,0,0,,,,,,,
+12/1/2012,NJ,515307.3275,37454.29602,81224.04143,252017.039,118678.4369,0,0,0,0,0,,,,,,,
+1/1/2013,NJ,519458.8919,37492.53376,81172.80337,252030.0154,118665.4363,0,0,0,0,0,,,,,,,
+2/1/2013,NJ,522688.6855,37465.69655,80981.42143,251606.9075,118447.2168,0,0,0,0,0,,,,,,,
+3/1/2013,NJ,528508.2605,37625.09528,81192.89667,252435.0643,118818.0909,0,0,0,0,0,,,,,,,
+4/1/2013,NJ,527971.8128,37764.70122,81361.38189,253129.9202,119126.1822,0,0,0,0,0,,,,,,,
+5/1/2013,NJ,526677.3917,37850.11385,81413.09441,253461.4972,119263.3073,0,0,0,0,0,,,,,,,
+6/1/2013,NJ,524595.764,37878.4526,81342.41514,253411.5561,119220.9665,0,0,0,0,0,,,,,,,
+7/1/2013,NJ,524629.5821,37941.07781,81345.81105,253591.8086,119286.9875,0,0,0,0,0,,,,,,,
+8/1/2013,NJ,524508.2586,37992.31603,81325.1568,253696.6145,119317.5713,0,0,0,0,0,,,,,,,
+9/1/2013,NJ,524986.3122,38086.85377,81397.43968,254091.0143,119484.3919,0,0,0,0,0,,,,,,,
+10/1/2013,NJ,525904.6224,38131.77091,81363.94618,254154.8698,119495.8154,0,0,0,0,0,,,,,,,
+11/1/2013,NJ,526887.0545,38181.40772,81340.94352,254250.948,119522.4494,0,0,0,0,0,,,,,,,
+12/1/2013,NJ,527638.9052,38214.41166,81282.96305,254237.0989,119497.4727,0,0,0,0,0,,,,,,,
+1/1/2014,NJ,525666.6471,38196.23966,81358.3159,254539.8,119554.6452,0,0,0,0,0,,,,,,,
+2/1/2014,NJ,524387.5849,38228.1264,81540.0112,255175.0409,119768.219,0,0,0,0,0,,,,,,,
+3/1/2014,NJ,522370.3227,38205.87461,81605.93605,255447.8121,119811.8838,0,0,0,0,0,,,,,,,
+4/1/2014,NJ,523073.7835,38185.94148,81676.36734,255734.4286,119862.3737,0,0,0,0,0,,,,,,,
+5/1/2014,NJ,523886.4868,38174.24382,81764.00049,256074.6639,119938.301,0,0,0,0,0,,,,,,,
+6/1/2014,NJ,525007.0364,38185.17979,81899.79133,256565.536,120085.0197,0,0,0,0,0,,,,,,,
+7/1/2014,NJ,525836.709,38181.6552,82004.27205,256958.1516,120185.9676,0,0,0,0,0,,,,,,,
+8/1/2014,NJ,527521.4437,38240.30549,82242.13407,257768.6241,120482.4719,0,0,0,0,0,,,,,,,
+9/1/2014,NJ,529006.618,38284.49754,82448.88714,258481.5848,120733.4089,0,0,0,0,0,,,,,,,
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+1/1/2017,NJ,549025.1214,38488.64254,82472.44042,274644.951,120961.162,0,0,0,0,0,,,,,,,
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+1/1/2020,NJ,585685.7514,40228.68895,86299.49194,290077.8321,126528.1809,0,0,0,0,0,0,745,663,696,655,89,76
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+1/1/2012,NY,1279520.957,65151.72719,155737.3586,531171.1453,220888.9935,0,0,0,0,0,,,,,,,
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+12/1/2013,NY,1369492.869,67700.32522,160688.1588,550608.4205,228388.386,0,0,0,0,0,,,,,,,
+1/1/2014,NY,1367096.476,67803.91026,161040.2938,551899.4717,228844.1144,0,0,0,0,0,,,,,,,
+2/1/2014,NY,1366496.088,67996.01973,161602.4188,553909.9683,229598.3571,0,0,0,0,0,,,,,,,
+3/1/2014,NY,1363964.971,68091.48357,161934.5787,555132.0178,230025.9891,0,0,0,0,0,,,,,,,
+4/1/2014,NY,1367891.06,68190.54849,162274.8892,556381.681,230465.3728,0,0,0,0,0,,,,,,,
+5/1/2014,NY,1372095.208,68303.82793,162648.6444,557745.711,230952.4157,0,0,0,0,0,,,,,,,
+6/1/2014,NY,1377099.723,68457.22327,163117.6299,559436.0654,231574.8047,0,0,0,0,0,,,,,,,
+7/1/2014,NY,1383134.025,68584.3428,163523.7345,560910.5453,232108.037,0,0,0,0,0,,,,,,,
+8/1/2014,NY,1391412.136,68822.96119,164195.541,563296.3096,233018.4699,0,0,0,0,0,,,,,,,
+9/1/2014,NY,1399163.396,69035.5416,164805.214,565468.9059,233840.7314,0,0,0,0,0,,,,,,,
+10/1/2014,NY,1405392.901,69282.91512,165497.9469,567926.492,234780.8459,0,0,0,0,0,,,,,,,
+11/1/2014,NY,1412351.226,69566.15712,166276.4635,570678.5372,235842.6125,0,0,0,0,0,,,,,,,
+12/1/2014,NY,1420409.462,69903.4389,167184.3793,573874.8786,237087.8181,0,0,0,0,0,,,,,,,
+1/1/2015,NY,1429268.205,70333.62612,168129.8411,578209.0714,238463.4591,0,0,0,0,0,,,,,,,
+2/1/2015,NY,1429185.098,70323.77185,168023.1535,578928.0843,238346.9091,0,0,0,0,0,,,,,,,
+3/1/2015,NY,1428713.131,70294.8041,167871.0943,579486.9008,238165.8741,0,0,0,0,0,,,,,,,
+4/1/2015,NY,1435334.143,70346.51637,167911.9295,580708.6775,238258.4135,0,0,0,0,0,,,,,,,
+5/1/2015,NY,1439610.622,70284.18124,167680.8022,580986.4913,237964.9431,0,0,0,0,0,,,,,,,
+6/1/2015,NY,1444509.366,70253.39603,167525.3009,581521.6823,237778.6486,0,0,0,0,0,,,,,,,
+7/1/2015,NY,1446212.785,70300.79949,167556.4734,582701.9025,237857.2165,0,0,0,0,0,,,,,,,
+8/1/2015,NY,1449089.184,70405.25125,167723.6841,584354.3242,238128.8709,0,0,0,0,0,,,,,,,
+9/1/2015,NY,1454130.353,70614.8283,168141.2106,586880.4277,238755.9663,0,0,0,0,0,,,,,,,
+10/1/2015,NY,1449322.611,70730.38713,168334.7374,588626.421,239065.0438,0,0,0,0,0,,,,,,,
+11/1/2015,NY,1443423.137,70792.50414,168401.1132,589927.301,239193.5286,0,0,0,0,0,,,,,,,
+12/1/2015,NY,1439577.446,70955.42018,168707.2531,592068.3176,239662.5764,0,0,0,0,0,,,,,,,
+1/1/2016,NY,1454594.28,71000.26459,168750.7744,593793.0598,239750.9503,0,0,0,0,0,,,,,,,
+2/1/2016,NY,1471261.147,71125.57551,168985.5388,596190.9074,240111.0336,0,0,0,0,0,,,,,,,
+3/1/2016,NY,1483591.867,71042.41358,168725.1041,596839.0091,239767.4452,0,0,0,0,0,,,,,,,
+4/1/2016,NY,1484729.78,70889.23777,168298.7392,596891.376,239187.9128,0,0,0,0,0,,,,,,,
+5/1/2016,NY,1488546.794,70864.96693,168178.7078,598022.7278,239043.6186,0,0,0,0,0,,,,,,,
+6/1/2016,NY,1491722.198,70810.84713,167988.049,598897.6722,238798.8481,0,0,0,0,0,,,,,,,
+7/1/2016,NY,1490203.388,70862.16712,168047.6741,600661.3141,238909.8012,0,0,0,0,0,,,,,,,
+8/1/2016,NY,1487074.112,70836.67069,167925.2496,601771.2904,238761.8883,0,0,0,0,0,,,,,,,
+9/1/2016,NY,1483599.35,70794.31878,167763.0673,602733.8004,238557.3622,0,0,0,0,0,,,,,,,
+10/1/2016,NY,1484726.458,70718.35296,167521.4723,603404.9237,238239.8094,0,0,0,0,0,,,,,,,
+11/1/2016,NY,1488555.924,70771.43711,167585.7373,605173.7562,238357.1665,0,0,0,0,0,,,,,,,
+12/1/2016,NY,1490236.628,70722.64491,167408.8957,606068.5413,238131.5406,0,0,0,0,0,,,,,,,
+1/1/2017,NY,1491037.777,70646.64605,167422.128,606034.3301,238068.774,0,0,0,0,0,,,,,,,
+2/1/2017,NY,1495069.054,70724.29036,167798.4592,607314.8938,238522.7495,0,0,0,0,0,,,,,,,
+3/1/2017,NY,1502213.682,70949.3233,168524.2911,609860.4898,239473.6144,0,0,0,0,0,,,,,,,
+4/1/2017,NY,1498697.389,70979.40939,168786.7554,610729.3716,239766.1648,0,0,0,0,0,,,,,,,
+5/1/2017,NY,1498902.164,71185.3523,169467.0368,613110.2156,240652.3892,0,0,0,0,0,,,,,,,
+6/1/2017,NY,1497251.146,71303.02887,169937.06,614730.4257,241240.0888,0,0,0,0,0,,,,,,,
+7/1/2017,NY,1503119.933,71470.41502,170525.3271,616778.4685,241995.7421,0,0,0,0,0,,,,,,,
+8/1/2017,NY,1505799.723,71486.46313,170752.0132,617518.9064,242238.4763,0,0,0,0,0,,,,,,,
+9/1/2017,NY,1506384.577,71403.73365,170741.612,617402.4096,242145.3456,0,0,0,0,0,,,,,,,
+10/1/2017,NY,1516962.843,71482.79074,171117.1017,618681.7068,242599.8925,0,0,0,0,0,,,,,,,
+11/1/2017,NY,1527224.027,71548.21749,171459.3806,619841.1733,243007.5981,0,0,0,0,0,,,,,,,
+12/1/2017,NY,1537767.433,71628.1548,171835.8572,621124.5093,243464.012,0,0,0,0,0,,,,,,,
+1/1/2018,NY,1544701.788,71648.63577,171878.7839,621417.8278,243527.4197,0,0,0,0,0,,,,,,,
+2/1/2018,NY,1553302.547,71748.21525,172111.4983,622396.4847,243859.7135,0,0,0,0,0,,,,,,,
+3/1/2018,NY,1563469.943,71921.3051,172520.5749,624012.382,244441.88,0,0,0,0,0,,,,,,,
+4/1/2018,NY,1567824.234,72054.5184,172834.0186,625281.914,244888.537,0,0,0,0,0,,,,,,,
+5/1/2018,NY,1572248.728,72191.21539,173155.8419,626581.2406,245347.0573,0,0,0,0,0,,,,,,,
+6/1/2018,NY,1577835.52,72381.48213,173606.1745,628345.1813,245987.6566,0,0,0,0,0,,,,,,,
+7/1/2018,NY,1581698.934,72587.37867,174094.0074,630244.5727,246681.3861,0,0,0,0,0,,,,,,,
+8/1/2018,NY,1585774.425,72802.95909,174605.0764,632227.8545,247408.0355,0,0,0,0,0,,,,,,,
+9/1/2018,NY,1587635.785,72916.80461,174872.1698,633327.3327,247788.9744,0,0,0,0,0,,,,,,,
+10/1/2018,NY,1583642.662,73063.68049,175218.501,634713.271,248282.1815,0,0,0,0,0,,,,,,,
+11/1/2018,NY,1581707.152,73304.78546,175790.8212,636917.5561,249095.6067,0,0,0,0,0,,,,,,,
+12/1/2018,NY,1580106.614,73561.21148,176399.8862,639254.8926,249961.0977,0,0,0,0,0,,,,,,,
+1/1/2019,NY,1591398.736,73719.92867,177051.8167,641168.9317,250771.7454,0,0,0,0,0,,,,,,,
+2/1/2019,NY,1600006.597,73754.81771,177405.9669,642005.2346,251160.7846,0,0,0,0,0,,,,,,,
+3/1/2019,NY,1606706.505,73703.29761,177551.1225,642087.1138,251254.4201,0,0,0,0,0,,,,,,,
+4/1/2019,NY,1612276.219,73625.22014,177630.7463,641934.5661,251255.9665,0,0,0,0,0,,,,,,,
+5/1/2019,NY,1621655.501,73722.35775,178132.0926,643307.7241,251854.4504,0,0,0,0,0,,,,,,,
+6/1/2019,NY,1630977.305,73817.34661,178627.871,644661.3908,252445.2176,0,0,0,0,0,,,,,,,
+7/1/2019,NY,1632588.031,73858.49062,178992.7774,645543.6869,252851.268,0,0,0,0,0,,,,,,,
+8/1/2019,NY,1635989.57,73980.708,179553.6871,647133.6517,253534.3951,0,0,0,0,0,,,,,,,
+9/1/2019,NY,1638838.368,74077.96238,180053.7398,648504.7229,254131.7022,0,0,0,0,0,,,,,,,
+10/1/2019,NY,1638462.186,74080.36973,180322.5626,649044.1001,254402.9324,0,0,0,0,0,,,,,,,
+11/1/2019,NY,1640608.315,74196.77315,180868.2451,650581.0076,255065.0182,0,0,0,0,0,,,,,,,
+12/1/2019,NY,1639474.155,74164.77026,181051.4196,650815.1821,255216.1899,0,0,0,0,0,,,,,,,
+1/1/2020,NY,1639370.313,74149.95403,180682.3412,646355.5187,254832.2953,0,0,0,0,0,0,1051,1027,112,110,0,0
+2/1/2020,NY,1640477.087,74189.92527,180447.7657,642386.453,254637.6909,0,0,0,0,0,0,2099,1959,1705,1587,141,106
+3/1/2020,NY,1647091.605,74478.97116,180818.6404,640569.3713,255297.6115,32656,32656,211,211,75853,2767,259565,256294,56660,56096,19272,17975
+4/1/2020,NY,1605812.688,75000.58964,181751.6502,640720.0547,256752.2399,104238,104238,5134,5134,232456,21667,445784,407230,72419,71116,33508,26319
+5/1/2020,NY,1554127.814,75046.64576,181530.7996,636789.6961,256577.4454,30573,30573,2785,2785,65373,6129,268897,165444,12863,12534,3471,2740
+6/1/2020,NY,1498793.275,74904.78211,180856.9158,631284.6514,255761.6979,10808,10808,550,550,22227,1346,136776,83759,5007,4906,323,314
+7/1/2020,NY,1530233.122,74809.02028,180296.4894,626196.041,255105.5096,11591,11591,161,161,22235,599,117869,85984,4075,4022,66,66
+8/1/2020,NY,1561306.753,74705.10093,179718.3701,621064.7363,254423.4711,10653,10653,111,111,19010,283,88262,75862,3184,3144,72,70
+9/1/2020,NY,1594146.202,74693.38249,179363.6494,616720.6329,254057.0319,14089,14089,89,89,24383,367,95724,93055,3320,3285,144,140
+10/1/2020,NY,1600708.686,74793.41323,179277.9689,613308.2247,254071.3821,29663,29663,222,222,50224,401,149054,140175,5385,5342,179,170
+11/1/2020,NY,1607511.746,74904.78301,179219.6222,609990.8059,254124.4052,91730,91730,739,739,144652,895,343145,311979,9385,9229,895,872
+12/1/2020,NY,1607604.904,74704.41373,178416.8524,604153.6335,253121.2662,212153,212153,2564,2564,322370,3345,610029,554816,21133,20852,2512,2408
+1/1/2021,NY,1609725.891,75656.25657,179051.9365,606527.1992,254708.1931,263125,263125,3654,3654,441124,5651,682529,609083,35074,34683,4633,4443
+2/1/2021,NY,1612615.416,76638.10224,179769.6403,609179.0382,256407.7425,107667,107667,1783,1783,223960,3967,401042,349294,25950,25664,2539,2449
+3/1/2021,NY,1611320.139,77413.27267,180017.1827,610235.629,257430.4553,107227,107227,781,781,229271,2680,446261,384801,25398,25133,2095,2028
+4/1/2021,NY,1618945.155,78223.82511,180364.3855,611627.6254,258588.2106,92985,92985,625,625,175012,1958,289569,255771,16354,16161,712,666
+5/1/2021,NY,1626843.844,79043.03004,180747.2703,613138.4033,259790.3004,32062,32062,371,371,54254,1043,84762,76559,6209,6152,55,55
+6/1/2021,NY,1633841.83,79813.87171,181035.3115,614325.2092,260849.1833,6255,6255,150,150,12582,372,25144,22066,2676,2647,0,0
+7/1/2021,NY,1638460.102,80653.34035,181493.7076,616087.9905,262147.0479,15309,15309,55,55,35404,171,94495,80464,5059,4984,48,45
+8/1/2021,NY,1644024.223,81534.18524,182057.3266,618206.205,263591.5118,70452,70452,305,305,128200,613,262266,238176,12209,12071,302,290
+9/1/2021,NY,1650872.201,82474.44524,182763.4879,620807.0081,265237.9332,97576,97576,678,678,148093,1104,277724,254648,9305,9153,269,256
+10/1/2021,NY,1661674.994,83190.89653,182985.8244,621762.5845,266176.7209,97641,97641,792,792,132900,1081,241388,225684,6621,6534,219,205
+11/1/2021,NY,1671647.659,83863.71968,183128.1373,622443.8945,266991.857,131053,131053,783,783,170012,1095,364561,343130,8608,8465,490,479
+12/1/2021,NY,1682631.331,84585.28622,183392.0953,623536.4058,267977.3815,355100,355100,1390,1390,750685,1974,2002692,1865917,37574,36912,2619,2572
+1/1/2022,NY,1682520.04,84532.31243,183756.9509,625026.6736,268289.2633,629777,629777,2316,2316,1325136,5338,2146111,2039264,45406,44844,5303,4988
+2/1/2022,NY,1681275.968,84422.95318,183993.8952,626079.0938,268416.8483,76202,76202,1030,1030,119805,2512,190529,184384,4610,4561,117,117
+3/1/2022,NY,1674036.482,84013.25822,183569.0235,624875.7841,267582.2817,40627,40627,277,277,70513,609,137617,128413,2140,2107,0,0
+4/1/2022,NY,1670064.685,84230.92004,184509.5684,628317.635,268740.4885,108578,108578,251,251,172388,377,324014,301879,4047,3999,87,87
+5/1/2022,NY,1659365.222,84105.92123,184695.7959,629188.8662,268801.7171,151342,151342,433,433,269689,645,549008,504975,7441,7341,173,171
+6/1/2022,NY,1642453.041,83659.442,184168.7852,627626.6274,267828.2272,71061,71061,321,321,173282,678,335813,299986,7940,7870,112,109
+7/1/2022,NY,1652247.84,84116.59792,185626.9939,632827.716,269743.5918,86951,86951,265,265,206851,602,430568,379685,11418,11243,271,256
+8/1/2022,NY,1656069.712,84269.74223,186413.5308,635738.5825,270683.273,73805,73805,321,321,170440,855,284309,254339,7696,7595,52,48
+9/1/2022,NY,1658601.092,84357.47137,187052.6322,638145.247,271410.1036,71875,71875,297,297,132929,704,136978,124331,3664,3616,25,25
+10/1/2022,NY,1656528.249,84415.46371,187622.6031,640314.4417,272038.0668,16583,16583,85,85,0,0,136088,122233,4856,4791,170,164
+11/1/2022,NY,1659086.449,84708.6767,188713.2915,644259.6705,273421.9682,0,0,0,0,0,,149083,130880,6065,5974,257,239
+12/1/2022,NY,1662385.245,85039.4603,189887.0274,648488.0898,274926.4877,0,0,0,0,0,,201644,176701,7571,7456,418,390
+1/1/2012,PA,643011.7563,49690.10199,105846.4891,318981.3705,155536.675,0,0,0,0,0,,,,,,,
+2/1/2012,PA,643047.2985,49689.1858,105728.8831,318906.5582,155418.1359,0,0,0,0,0,,,,,,,
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+9/1/2012,PA,650182.7075,50039.25124,105672.6756,320675.8386,155711.877,0,0,0,0,0,,,,,,,
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+1/1/2013,PA,648250.7334,50224.49158,105699.6686,322026.2286,155924.0692,0,0,0,0,0,,,,,,,
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+11/1/2013,PA,663129.2063,50300.195,105591.5971,326110.1923,155891.7839,0,0,0,0,0,,,,,,,
+12/1/2013,PA,664551.154,50261.54931,105484.1111,326214.3921,155745.6604,0,0,0,0,0,,,,,,,
+1/1/2014,PA,663324.9901,50223.2396,105474.6052,326399.3886,155697.8448,0,0,0,0,0,,,,,,,
+2/1/2014,PA,662970.4183,50250.78661,105603.2298,327011.3089,155854.0164,0,0,0,0,0,,,,,,,
+3/1/2014,PA,661679.2955,50207.20576,105582.1948,327159.2405,155789.4005,0,0,0,0,0,,,,,,,
+4/1/2014,PA,664368.7424,50166.72831,105567.4083,327325.6961,155734.1366,0,0,0,0,0,,,,,,,
+5/1/2014,PA,667190.3795,50137.1224,105575.242,327561.5128,155712.3644,0,0,0,0,0,,,,,,,
+6/1/2014,PA,670398.9906,50137.28345,105645.5573,327990.5857,155782.8408,0,0,0,0,0,,,,,,,
+7/1/2014,PA,672974.19,50118.49501,105675.7599,328294.5699,155794.2549,0,0,0,0,0,,,,,,,
+8/1/2014,PA,676641.6288,50181.33886,105877.9896,329132.6878,156059.3285,0,0,0,0,0,,,,,,,
+9/1/2014,PA,680052.9054,50225.21148,106040.1829,329846.3223,156265.3944,0,0,0,0,0,,,,,,,
+10/1/2014,PA,681403.1551,50294.39701,106255.8193,330726.1954,156550.2163,0,0,0,0,0,,,,,,,
+11/1/2014,PA,683105.0716,50389.50804,106526.2986,331776.9824,156915.8066,0,0,0,0,0,,,,,,,
+12/1/2014,PA,685335.1467,50523.50884,106879.1529,333084.8067,157402.6617,0,0,0,0,0,,,,,,,
+1/1/2015,PA,689892.9716,50865.08401,107297.8009,335692.6837,158162.893,0,0,0,0,0,,,,,,,
+2/1/2015,PA,690135.4977,50888.51323,107044.433,336201.9571,157932.9624,0,0,0,0,0,,,,,,,
+3/1/2015,PA,690189.2425,50898.00255,106762.8196,336617.873,157660.8464,0,0,0,0,0,,,,,,,
+4/1/2015,PA,691085.2849,50965.82775,106604.3792,337418.6506,157570.2394,0,0,0,0,0,,,,,,,
+5/1/2015,PA,690859.7012,50950.93031,106273.8555,337670.6558,157224.8262,0,0,0,0,0,,,,,,,
+6/1/2015,PA,690942.5674,50958.77356,105992.0566,338071.8584,156950.8785,0,0,0,0,0,,,,,,,
+7/1/2015,PA,690830.7473,51023.24836,105828.8702,338847.8054,156852.175,0,0,0,0,0,,,,,,,
+8/1/2015,PA,691280.0088,51129.10294,105751.7578,339898.2683,156880.9252,0,0,0,0,0,,,,,,,
+9/1/2015,PA,692760.6037,51311.34487,105832.2038,341457.0525,157143.6213,0,0,0,0,0,,,,,,,
+10/1/2015,PA,693461.9879,51425.31841,105771.3623,342562.1002,157196.7614,0,0,0,0,0,,,,,,,
+11/1/2015,PA,693639.6128,51500.42257,105630.7115,343408.0646,157131.2228,0,0,0,0,0,,,,,,,
+12/1/2015,PA,694804.7999,51648.8625,105640.4172,344743.1067,157289.3766,0,0,0,0,0,,,,,,,
+1/1/2016,PA,694622.1904,51672.63599,105698.2008,345316.8096,157370.9175,0,0,0,0,0,,,,,,,
+2/1/2016,PA,695226.7488,51754.97052,105875.7741,346281.9072,157630.8092,0,0,0,0,0,,,,,,,
+3/1/2016,PA,693794.6096,51685.62345,105743.035,346231.4338,157428.7067,0,0,0,0,0,,,,,,,
+4/1/2016,PA,693350.0284,51565.38853,105506.1338,345837.7559,157071.5545,0,0,0,0,0,,,,,,,
+5/1/2016,PA,694161.2087,51538.96214,105461.1276,346071.2626,157000.1058,0,0,0,0,0,,,,,,,
+6/1/2016,PA,694676.4579,51490.85673,105371.7303,346157.8114,156862.587,0,0,0,0,0,,,,,,,
+7/1/2016,PA,696717.4257,51519.44322,105439.2555,346758.9892,156958.6828,0,0,0,0,0,,,,,,,
+8/1/2016,PA,698000.2044,51492.19793,105392.4988,346983.6038,156884.6648,0,0,0,0,0,,,,,,,
+9/1/2016,PA,699111.9506,51452.72823,105320.6925,347124.5278,156773.3729,0,0,0,0,0,,,,,,,
+10/1/2016,PA,698432.8377,51388.86238,105198.9133,347099.2626,156587.7121,0,0,0,0,0,,,,,,,
+11/1/2016,PA,699028.0719,51418.79559,105269.1285,347706.5009,156687.8446,0,0,0,0,0,,,,,,,
+12/1/2016,PA,698616.8906,51374.72981,105187.8267,347812.4494,156562.4613,0,0,0,0,0,,,,,,,
+1/1/2017,PA,696705.6264,51293.20513,105060.171,347619.6383,156353.2891,0,0,0,0,0,,,,,,,
+2/1/2017,PA,696315.6515,51323.37154,105161.078,348181.8856,156484.3706,0,0,0,0,0,,,,,,,
+3/1/2017,PA,697377.9286,51460.52108,105481.1538,349469.5627,156941.6038,0,0,0,0,0,,,,,,,
+4/1/2017,PA,697320.4469,51456.31588,105511.4238,349796.7103,156967.6767,0,0,0,0,0,,,,,,,
+5/1/2017,PA,698991.3036,51579.64729,105803.1339,350990.1637,157382.726,0,0,0,0,0,,,,,,,
+6/1/2017,PA,699795.6811,51639.03983,105963.663,351748.2871,157602.6556,0,0,0,0,0,,,,,,,
+7/1/2017,PA,703160.812,51734.46426,106198.083,352751.4204,157932.5079,0,0,0,0,0,,,,,,,
+8/1/2017,PA,705032.5029,51720.40882,106207.6669,353007.1415,157928.0443,0,0,0,0,0,,,,,,,
+9/1/2017,PA,705919.5613,51635.04428,106070.5834,352774.0138,157705.6042,0,0,0,0,0,,,,,,,
+10/1/2017,PA,706748.1809,51666.80732,106173.9086,353339.2875,157840.7002,0,0,0,0,0,,,,,,,
+11/1/2017,PA,707441.8909,51688.79788,106257.0325,353836.6409,157945.8226,0,0,0,0,0,,,,,,,
+12/1/2017,PA,708278.9306,51721.34979,106361.7499,354405.2159,158083.0996,0,0,0,0,0,,,,,,,
+1/1/2018,PA,709968.1762,51807.96433,106327.8286,354647.3225,158135.7929,0,0,0,0,0,,,,,,,
+2/1/2018,PA,712432.3035,51951.3434,106411.6763,355280.1084,158363.0197,0,0,0,0,0,,,,,,,
+3/1/2018,PA,715620.6797,52147.67529,106604.7951,356276.3623,158752.4704,0,0,0,0,0,,,,,,,
+4/1/2018,PA,716316.4734,52314.85597,106739.0204,357074.6132,159053.8764,0,0,0,0,0,,,,,,,
+5/1/2018,PA,717049.3162,52484.29504,106878.649,357889.597,159362.944,0,0,0,0,0,,,,,,,
+6/1/2018,PA,718316.1461,52692.46748,107097.7778,358969.737,159790.2453,0,0,0,0,0,,,,,,,
+7/1/2018,PA,719885.7498,52911.87421,107340.1619,360127.1095,160252.0361,0,0,0,0,0,,,,,,,
+8/1/2018,PA,721552.1987,53138.22172,107596.9721,361332.295,160735.1938,0,0,0,0,0,,,,,,,
+9/1/2018,PA,722211.7383,53290.11017,107703.6087,362032.1553,160993.7188,0,0,0,0,0,,,,,,,
+10/1/2018,PA,721747.3345,53465.87223,107859.2719,362895.4898,161325.1441,0,0,0,0,0,,,,,,,
+11/1/2018,PA,722217.8173,53710.44364,108154.1692,364226.5614,161864.6129,0,0,0,0,0,,,,,,,
+12/1/2018,PA,722840.418,53966.19904,108471.7087,365633.6762,162437.9077,0,0,0,0,0,,,,,,,
+1/1/2019,PA,723609.4772,54082.78811,108680.7079,366554.6476,162763.5036,0,0,0,0,0,,,,,,,
+2/1/2019,PA,723164.2021,54108.53352,108707.1904,366859.7261,162815.7392,0,0,0,0,0,,,,,,,
+3/1/2019,PA,721875.04,54070.88621,108606.4207,366734.4417,162677.3298,0,0,0,0,0,,,,,,,
+4/1/2019,PA,722594.9171,54013.75478,108466.6606,366476.2555,162480.4457,0,0,0,0,0,,,,,,,
+5/1/2019,PA,725028.856,54085.16604,108585.1251,367089.7281,162670.329,0,0,0,0,0,,,,,,,
+6/1/2019,PA,727439.5779,54155.00068,108700.4594,367692.3182,162855.5055,0,0,0,0,0,,,,,,,
+7/1/2019,PA,729030.8585,54185.33253,108736.5569,368026.4214,162921.9425,0,0,0,0,0,,,,,,,
+8/1/2019,PA,731420.2654,54275.14256,108892.0568,368764.2708,163167.2599,0,0,0,0,0,,,,,,,
+9/1/2019,PA,733561.6612,54346.6386,109010.8387,369377.5577,163357.5453,0,0,0,0,0,,,,,,,
+10/1/2019,PA,733843.4324,54348.55057,108990.1108,369517.5673,163338.7368,0,0,0,0,0,,,,,,,
+11/1/2019,PA,735253.842,54434.09463,109137.1561,370225.8929,163571.3337,0,0,0,0,0,,,,,,,
+12/1/2019,PA,735192.8912,54410.76073,109065.9767,370193.3427,163476.8278,0,0,0,0,0,,,,,,,
+1/1/2020,PA,729963.6754,54577.88013,108925.186,367902.8384,163503.1412,0,0,0,0,0,0,0,0,0,0,0,0
+2/1/2020,PA,725289.097,54784.79037,108865.2351,365890.8346,163650.0855,0,0,0,0,0,0,134,110,20,20,0,0
+3/1/2020,PA,723044.0157,55175.81932,109170.6444,365104.8284,164346.5089,4959,4889,63,63,4963,63,28638,27826,4646,4630,446,442
+4/1/2020,PA,701952.0971,55740.48036,109816.063,365442.2744,165556.5736,43175,42415,2229,2186,42990,2466,81714,80288,14044,13978,7441,7333
+5/1/2020,PA,676298.3939,55952.45863,109764.6568,363453.1232,165717.1305,27806,26821,3275,2726,27710,3044,46372,45690,6476,6468,2220,2216
+6/1/2020,PA,649071.0274,56023.51326,109438.9414,360564.0384,165462.4546,15114,14439,1120,1457,14810,1089,33668,32946,3302,3292,216,216
+7/1/2020,PA,667863.1278,56127.90202,109181.3493,357911.1522,165309.2364,26017,24908,517,528,25679,547,52074,50592,3994,3980,224,224
+8/1/2020,PA,686465.1306,56225.11841,108912.555,355232.3379,165137.6435,22644,21481,469,456,22274,454,42788,41250,3116,3086,188,188
+9/1/2020,PA,705819.573,56390.87741,108778.7489,353002.54,165169.5815,25399,23715,469,442,25512,470,53164,50348,2650,2620,188,188
+10/1/2020,PA,709780.7693,56640.63246,108807.9351,351305.4869,165448.5078,49597,44701,670,629,49513,665,108939,99821,5956,5830,716,654
+11/1/2020,PA,713848.1424,56898.89193,108853.6723,349662.7219,165752.4896,154983,138929,1571,1211,155565,1559,370166,336272,16222,15502,6471,5908
+12/1/2020,PA,714931.1636,56919.572,108446.9015,346574.4093,165366.3843,278875,238930,5595,4680,279558,5673,554742,470232,17741,16646,9300,8028
+1/1/2021,PA,715059.941,57646.55114,109182.4624,347717.8763,166828.9321,202380,158725,5624,4817,203060,5626,360678,287113,11110,10412,3362,2969
+2/1/2021,PA,715535.9519,58396.37869,109965.9027,349022.4355,168362.2076,86864,66473,2419,2255,87993,2339,161939,127088,5928,5574,438,423
+3/1/2021,PA,714162.5598,58988.70917,110458.5636,349414.9975,169447.2068,93719,71297,1072,1110,95393,1094,205519,160625,6587,6163,364,354
+4/1/2021,PA,716627.8296,59607.98217,111008.5669,350001.9842,170616.4907,125866,96894,1125,1147,127806,1120,242067,189601,8214,7713,546,527
+5/1/2021,PA,719223.6477,60233.8318,111577.0546,350659.1098,171810.8356,50716,38092,996,936,52431,1005,86937,66038,3787,3543,114,111
+6/1/2021,PA,721430.7367,60822.81003,112083.4849,351133.1393,172906.2516,9420,7008,464,429,10643,464,16677,12903,1160,1118,0,0
+7/1/2021,PA,723121.986,61464.07038,112692.085,351938.438,174156.1194,13522,10359,174,197,14205,172,35228,27615,1757,1666,0,0
+8/1/2021,PA,725233.6173,62136.84976,113363.2762,352948.4845,175500.0973,69312,53469,383,810,71310,385,159027,125754,5089,4699,213,189
+9/1/2021,PA,727914.0127,62854.89864,114120.972,354235.4548,176975.8493,129572,103163,1165,997,132222,1165,280026,225717,6953,6519,826,730
+10/1/2021,PA,732999.4581,63402.36695,114573.7678,354585.3869,177976.1206,134999,108533,2054,1496,137297,2052,262509,210943,7936,7383,1168,1062
+11/1/2021,PA,737714.9464,63916.56796,114972.7651,354781.2042,178889.326,155026,118632,1967,1587,155986,1969,354302,282308,9154,8455,2088,1888
+12/1/2021,PA,742872.9984,64467.90249,115444.5856,355213.6047,179912.4881,299504,244434,3284,2786,299504,3284,730634,606136,13514,12830,3805,3564
+1/1/2022,PA,739490.3001,64444.49327,116023.843,356077.7412,180468.3433,625057,532664,3876,3196,625057,3876,1115202,925817,16089,15501,4313,3967
+2/1/2022,PA,735646.8183,64377.90888,116518.456,356692.2676,180896.3787,95555,78955,2635,2571,95944,2635,146591,117605,4537,4356,145,129
+3/1/2022,PA,729230.3888,64082.04268,116588.6986,356021.4225,180670.7619,24317,18717,1059,1188,23928,1059,42010,32627,1611,1538,0,0
+4/1/2022,PA,733908.5632,64264.51031,117522.2724,357996.9782,181786.8101,38866,30780,402,287,38866,402,84356,66519,1888,1801,0,0
+5/1/2022,PA,735578.8498,64185.41156,117972.7105,358507.7542,182158.1562,105433,83653,353,243,87105,470,228822,178123,4648,4441,111,105
+6/1/2022,PA,734393.905,63860.71799,117962.3437,357631.7281,181823.1022,80605,63270,582,372,98933,619,146742,114679,3577,3437,47,41
+7/1/2022,PA,739165.4308,64225.66324,119220.6253,360609.4286,183446.3358,83892,67292,439,338,74336,398,180148,141101,3978,3837,34,32
+8/1/2022,PA,741264.1709,64358.45834,120046.9578,362282.0488,184405.4701,95753,75145,511,584,105309,552,152316,116802,2919,2753,48,41
+9/1/2022,PA,742782.9148,64441.19803,120776.3946,363667.26,185217.6531,68601,53211,497,347,68601,497,70589,53420,1698,1600,19,19
+10/1/2022,PA,742953.6816,64501.10868,121458.9201,364917.0431,185960.0956,12431,9877,110,89,0,0,55166,41252,1669,1590,60,48
+11/1/2022,PA,745196.2686,64740.67557,122477.053,367178.9291,187217.8021,0,0,0,0,0,,48504,36869,1456,1373,41,35
+12/1/2022,PA,747769.8724,65008.93365,123548.6223,369602.1921,188557.6361,0,0,0,0,0,,62529,49042,1887,1808,90,78
+1/1/2012,RI,51270.36705,3367.288208,7359.633049,27218.77947,10726.92126,0,0,0,0,0,,,,,,,
+2/1/2012,RI,51334.00305,3364.893599,7352.269493,27177.876,10717.16309,0,0,0,0,0,,,,,,,
+3/1/2012,RI,51413.84669,3363.58851,7347.295333,27145.86153,10710.88384,0,0,0,0,0,,,,,,,
+4/1/2012,RI,51461.72538,3364.274795,7346.677882,27129.98752,10710.95268,0,0,0,0,0,,,,,,,
+5/1/2012,RI,51634.95532,3373.156298,7363.957001,27180.20497,10737.1133,0,0,0,0,0,,,,,,,
+6/1/2012,RI,51776.35802,3379.954666,7376.684988,27213.60226,10756.63965,0,0,0,0,0,,,,,,,
+7/1/2012,RI,51806.56373,3383.83965,7383.054274,27223.53954,10766.89392,0,0,0,0,0,,,,,,,
+8/1/2012,RI,51681.87193,3377.600133,7367.341161,27152.10259,10744.94129,0,0,0,0,0,,,,,,,
+9/1/2012,RI,51573.93479,3372.443439,7354.003327,27089.50577,10726.44677,0,0,0,0,0,,,,,,,
+10/1/2012,RI,51385.71868,3367.518566,7341.183521,27028.8977,10708.70209,0,0,0,0,0,,,,,,,
+11/1/2012,RI,51384.86617,3374.855464,7355.099113,27066.75513,10729.95458,0,0,0,0,0,,,,,,,
+12/1/2012,RI,51357.45032,3380.453908,7365.22422,27090.65243,10745.67813,0,0,0,0,0,,,,,,,
+1/1/2013,RI,51639.82789,3382.835419,7375.165779,27107.98516,10758.0012,0,0,0,0,0,,,,,,,
+2/1/2013,RI,51831.29687,3379.351365,7372.29296,27078.32457,10751.64432,0,0,0,0,0,,,,,,,
+3/1/2013,RI,52279.87686,3392.668006,7406.060996,27183.28994,10798.729,0,0,0,0,0,,,,,,,
+4/1/2013,RI,52236.61964,3404.197707,7435.938078,27273.93406,10840.13578,0,0,0,0,0,,,,,,,
+5/1/2013,RI,52118.37112,3410.842161,7455.144705,27325.43808,10865.98687,0,0,0,0,0,,,,,,,
+6/1/2013,RI,51922.19544,3412.346386,7463.103094,27335.76678,10875.44948,0,0,0,0,0,,,,,,,
+7/1/2013,RI,52052.67347,3416.942926,7477.808802,27370.87337,10894.75173,0,0,0,0,0,,,,,,,
+8/1/2013,RI,52167.40551,3420.516862,7490.263685,27397.79332,10910.78055,0,0,0,0,0,,,,,,,
+9/1/2013,RI,52341.50665,3427.991137,7511.250615,27455.95766,10939.24175,0,0,0,0,0,,,,,,,
+10/1/2013,RI,52402.49569,3431.001488,7522.446799,27478.37243,10953.44829,0,0,0,0,0,,,,,,,
+11/1/2013,RI,52469.97314,3434.439853,7534.566471,27504.22061,10969.00632,0,0,0,0,0,,,,,,,
+12/1/2013,RI,52514.59582,3436.385722,7543.395635,27518.12233,10979.78136,0,0,0,0,0,,,,,,,
+1/1/2014,RI,52488.31616,3444.810549,7557.95479,27549.39153,11002.77349,0,0,0,0,0,,,,,,,
+2/1/2014,RI,52530.82921,3457.725055,7582.374094,27616.65592,11040.11543,0,0,0,0,0,,,,,,,
+3/1/2014,RI,52498.95166,3465.716821,7596.008504,27644.6954,11061.74971,0,0,0,0,0,,,,,,,
+4/1/2014,RI,52513.0586,3473.879556,7610.032898,27674.23903,11083.9449,0,0,0,0,0,,,,,,,
+5/1/2014,RI,52538.33921,3482.755047,7625.632779,27709.59039,11108.42831,0,0,0,0,0,,,,,,,
+6/1/2014,RI,52594.6523,3493.6672,7645.702916,27761.24618,11139.41864,0,0,0,0,0,,,,,,,
+7/1/2014,RI,52659.94767,3503.230287,7662.830701,27802.27412,11166.11752,0,0,0,0,0,,,,,,,
+8/1/2014,RI,52810.89778,3518.484417,7692.412069,27888.51521,11210.9611,0,0,0,0,0,,,,,,,
+9/1/2014,RI,52941.87184,3532.407004,7719.082779,27964.20647,11251.56245,0,0,0,0,0,,,,,,,
+10/1/2014,RI,53258.44584,3548.109882,7749.643816,28053.99136,11297.83447,0,0,0,0,0,,,,,,,
+11/1/2014,RI,53602.72104,3565.652745,7784.219868,28158.28952,11349.96153,0,0,0,0,0,,,,,,,
+12/1/2014,RI,53988.92559,3585.972411,7824.849427,28284.43754,11410.91898,0,0,0,0,0,,,,,,,
+1/1/2015,RI,54312.10657,3617.137559,7873.810569,28485.40965,11491.03759,0,0,0,0,0,,,,,,,
+2/1/2015,RI,54295.45765,3625.699086,7873.511702,28508.24288,11499.29198,0,0,0,0,0,,,,,,,
+3/1/2015,RI,54264.08379,3633.242894,7871.070008,28523.23229,11504.38584,0,0,0,0,0,,,,,,,
+4/1/2015,RI,54410.35857,3644.932465,7877.660091,28570.88718,11522.65734,0,0,0,0,0,,,,,,,
+5/1/2015,RI,54468.08717,3650.6844,7871.476211,28572.13831,11522.21716,0,0,0,0,0,,,,,,,
+6/1/2015,RI,54549.80843,3658.036302,7868.822323,28586.10047,11526.907,0,0,0,0,0,,,,,,,
+7/1/2015,RI,54509.68829,3669.43475,7874.92387,28631.8046,11544.3989,0,0,0,0,0,,,,,,,
+8/1/2015,RI,54513.86606,3683.803484,7887.41517,28700.72118,11571.25088,0,0,0,0,0,,,,,,,
+9/1/2015,RI,54599.3281,3703.685775,7911.684691,28812.53086,11615.39467,0,0,0,0,0,,,,,,,
+10/1/2015,RI,54798.40037,3718.651355,7925.421694,28886.02165,11644.08919,0,0,0,0,0,,,,,,,
+11/1/2015,RI,54956.01769,3730.803101,7933.170113,28937.67479,11663.98128,0,0,0,0,0,,,,,,,
+12/1/2015,RI,55191.90726,3748.268815,7952.214464,29030.53664,11700.48328,0,0,0,0,0,,,,,,,
+1/1/2016,RI,54962.24808,3751.823063,7970.511555,29072.1336,11722.33462,0,0,0,0,0,,,,,,,
+2/1/2016,RI,54794.85093,3759.629479,7997.843255,29146.68126,11757.47273,0,0,0,0,0,,,,,,,
+3/1/2016,RI,54467.29351,3756.414221,8001.710459,29135.75922,11758.12468,0,0,0,0,0,,,,,,,
+4/1/2016,RI,54539.00709,3749.490318,7997.61774,29095.9935,11747.10806,0,0,0,0,0,,,,,,,
+5/1/2016,RI,54708.99013,3749.378869,8008.004975,29109.02571,11757.38384,0,0,0,0,0,,,,,,,
+6/1/2016,RI,54855.29158,3747.684185,8014.974802,29109.71922,11762.65899,0,0,0,0,0,,,,,,,
+7/1/2016,RI,55124.89845,3751.567228,8033.848919,29153.70505,11785.41615,0,0,0,0,0,,,,,,,
+8/1/2016,RI,55334.31059,3751.381251,8043.989244,29166.04391,11795.37049,0,0,0,0,0,,,,,,,
+9/1/2016,RI,55529.81684,3750.298886,8052.173497,29171.36914,11802.47238,0,0,0,0,0,,,,,,,
+10/1/2016,RI,55339.54918,3747.431273,8056.483372,29162.75393,11803.91465,0,0,0,0,0,,,,,,,
+11/1/2016,RI,55250.60577,3751.399144,8075.461559,29207.29749,11826.8607,0,0,0,0,0,,,,,,,
+12/1/2016,RI,55082.41523,3749.964291,8082.786596,29209.74699,11832.75089,0,0,0,0,0,,,,,,,
+1/1/2017,RI,54689.30252,3747.462242,8083.376025,29172.24815,11830.83827,0,0,0,0,0,,,,,,,
+2/1/2017,RI,54416.8798,3753.102207,8101.496637,29198.22551,11854.59884,0,0,0,0,0,,,,,,,
+3/1/2017,RI,54258.18864,3766.562097,8136.491584,29285.05762,11903.05368,0,0,0,0,0,,,,,,,
+4/1/2017,RI,54289.3529,3769.670147,8149.114843,29291.4334,11918.78499,0,0,0,0,0,,,,,,,
+5/1/2017,RI,54455.00754,3782.114952,8181.910627,29370.39244,11964.02558,0,0,0,0,0,,,,,,,
+6/1/2017,RI,54553.13519,3789.869111,8204.55512,29412.93767,11994.42423,0,0,0,0,0,,,,,,,
+7/1/2017,RI,54859.19263,3800.2636,8232.908486,29475.99567,12033.17209,0,0,0,0,0,,,,,,,
+8/1/2017,RI,55048.62086,3802.607147,8243.804964,29476.65413,12046.41211,0,0,0,0,0,,,,,,,
+9/1/2017,RI,55160.90562,3799.687298,8243.255299,29436.61906,12042.9426,0,0,0,0,0,,,,,,,
+10/1/2017,RI,55043.07004,3805.369065,8261.336359,29463.31233,12066.70542,0,0,0,0,0,,,,,,,
+11/1/2017,RI,54915.29761,3810.320618,8277.814182,29484.40596,12088.1348,0,0,0,0,0,,,,,,,
+12/1/2017,RI,54799.21481,3816.040381,8295.943167,29511.49748,12111.98355,0,0,0,0,0,,,,,,,
+1/1/2018,RI,54901.14441,3815.068025,8309.271437,29504.55003,12124.33946,0,0,0,0,0,,,,,,,
+2/1/2018,RI,55063.16686,3818.319783,8331.707317,29530.26713,12150.0271,0,0,0,0,0,,,,,,,
+3/1/2018,RI,55281.27523,3825.491524,8362.637669,29586.29856,12188.12919,0,0,0,0,0,,,,,,,
+4/1/2018,RI,55290.98912,3830.549073,8388.895062,29625.97696,12219.44414,0,0,0,0,0,,,,,,,
+5/1/2018,RI,55303.73191,3835.799605,8415.516715,29667.14575,12251.31632,0,0,0,0,0,,,,,,,
+6/1/2018,RI,55357.79241,3843.902619,8448.350674,29730.37473,12292.25329,0,0,0,0,0,,,,,,,
+7/1/2018,RI,55311.89758,3852.839807,8482.986985,29800.05442,12335.82679,0,0,0,0,0,,,,,,,
+8/1/2018,RI,55273.72767,3862.294397,8518.736982,29873.73505,12381.03138,0,0,0,0,0,,,,,,,
+9/1/2018,RI,55158.91409,3866.357667,8542.551822,29905.71373,12408.90949,0,0,0,0,0,,,,,,,
+10/1/2018,RI,55297.21029,3872.179991,8570.195733,29951.29632,12442.37572,0,0,0,0,0,,,,,,,
+11/1/2018,RI,55506.76492,3883.000364,8608.870413,30035.53763,12491.87078,0,0,0,0,0,,,,,,,
+12/1/2018,RI,55727.90414,3894.633502,8649.338019,30126.06545,12543.97152,0,0,0,0,0,,,,,,,
+1/1/2019,RI,56051.79686,3901.350744,8670.116936,30203.01684,12571.46768,0,0,0,0,0,,,,,,,
+2/1/2019,RI,56281.25019,3901.517234,8676.329565,30229.21897,12577.8468,0,0,0,0,0,,,,,,,
+3/1/2019,RI,56443.90231,3897.119962,8672.368265,30219.95468,12569.48823,0,0,0,0,0,,,,,,,
+4/1/2019,RI,56379.57734,3891.328111,8665.269934,30199.7328,12556.59804,0,0,0,0,0,,,,,,,
+5/1/2019,RI,56449.44291,3894.803197,8678.785562,30251.3366,12573.58876,0,0,0,0,0,,,,,,,
+6/1/2019,RI,56517.66953,3898.167099,8692.045299,30302.04212,12590.2124,0,0,0,0,0,,,,,,,
+7/1/2019,RI,56594.9098,3898.691118,8698.960282,30330.61899,12597.6514,0,0,0,0,0,,,,,,,
+8/1/2019,RI,56734.1917,3903.497621,8715.420284,30392.46843,12618.9179,0,0,0,0,0,,,,,,,
+9/1/2019,RI,56854.2833,3906.988667,8728.937363,30444.05074,12635.92603,0,0,0,0,0,,,,,,,
+10/1/2019,RI,57010.61675,3905.481648,8731.272772,30456.62287,12636.75442,0,0,0,0,0,,,,,,,
+11/1/2019,RI,57254.31267,3909.988323,8747.039139,30516.03466,12657.02746,0,0,0,0,0,,,,,,,
+12/1/2019,RI,57383.05519,3906.678948,8745.304147,30514.37654,12651.98309,0,0,0,0,0,,,,,,,
+1/1/2020,RI,57196.75392,3910.035694,8747.513761,30394.86888,12657.54945,0,0,0,0,0,0,0,0,0,0,0,0
+2/1/2020,RI,57053.2397,3916.26902,8756.174785,30298.16032,12672.4438,0,0,0,0,0,0,0,0,0,0,0,0
+3/1/2020,RI,57101.07919,3935.654732,8794.236808,30303.04808,12729.89154,543,543,8,8,488,11,,,,,,
+4/1/2020,RI,55606.98011,3967.361231,8859.789968,30401.71025,12827.1512,7968,7968,258,258,8133,353,,,,,,
+5/1/2020,RI,53752.26168,3973.929118,8869.181928,30307.12048,12843.11105,5755,5755,452,452,6307,463,,,,,,
+6/1/2020,RI,51771.62155,3970.527152,8856.346956,30137.16071,12826.87411,1781,1781,231,231,1885,150,,,,,,
+7/1/2020,RI,53364.12417,3969.542279,8848.937326,29986.48024,12818.4796,2044,2044,57,57,2209,49,,,,,,
+8/1/2020,RI,54940.89453,3968.100098,8840.539384,29833.20019,12808.63948,2724,2724,41,41,2927,52,,,,,,
+9/1/2020,RI,56577.45961,3971.535574,8843.033518,29717.28204,12814.56909,2821,2821,66,66,2799,47,,,,,,
+10/1/2020,RI,56949.19151,3980.904271,8858.749522,29646.06024,12839.65379,8109,8109,90,90,8126,91,5924,5912,0,0,0,0
+11/1/2020,RI,57329.41689,3990.874572,8875.806721,29579.38555,12866.68129,22535,22535,166,166,23849,199,29538,27951,0,0,0,0
+12/1/2020,RI,57469.72804,3984.217566,8855.907267,29390.10254,12840.12483,31118,31118,409,409,31226,515,41228,39078,0,0,438,438
+1/1/2021,RI,57137.01595,4035.208098,8916.014555,29566.16452,12951.22265,24700,24700,384,384,26489,411,25598,24548,0,0,472,460
+2/1/2021,RI,56834.51221,4087.797263,8980.031456,29755.35804,13067.82872,10023,10023,344,344,11184,161,9422,6710,0,0,174,152
+3/1/2021,RI,56388.25331,4129.360567,9020.30238,29866.08086,13149.66295,10372,10372,105,105,11707,117,23551,20431,0,0,24,24
+4/1/2021,RI,56879.2054,4172.808814,9065.255578,29992.55939,13238.06439,10229,10229,59,59,10857,52,52318,49444,0,0,0,0
+5/1/2021,RI,57377.46656,4216.716455,9111.717863,30124.26079,13328.43432,3425,3425,40,40,3557,37,25630,24744,0,0,0,0
+6/1/2021,RI,57841.63938,4258.041885,9153.111954,30239.43772,13411.15384,654,654,19,19,870,22,40652,40644,0,0,0,0
+7/1/2021,RI,57808.38492,4303.026515,9202.849194,30382.39529,13505.87571,1864,1864,10,10,1726,10,36450,4722,0,0,0,0
+8/1/2021,RI,57810.1634,4350.216986,9257.697548,30542.40665,13607.91453,7682,7682,30,30,8278,30,196,170,0,0,32,24
+9/1/2021,RI,57858.45148,4400.576159,9319.609958,30725.87066,13720.18612,9526,9526,68,68,9744,68,412,356,2,2,0,0
+10/1/2021,RI,58357.18157,4438.991933,9356.622602,30827.42448,13795.61454,7333,7333,41,41,7044,40,1996,1470,0,0,0,0
+11/1/2021,RI,58825.35251,4475.077552,9389.241399,30914.74196,13864.31895,11643,11643,54,54,12358,54,7695,4661,0,0,26,22
+12/1/2021,RI,59327.75726,4513.762085,9427.806902,31021.86956,13941.56899,39895,39895,142,142,39333,134,23615,12445,0,0,22,14
+1/1/2022,RI,58911.7121,4508.401064,9425.408823,31095.73753,13933.80989,103453,103453,270,270,112683,250,55810,32991,0,0,0,0
+2/1/2022,RI,58460.58902,4500.061021,9416.684695,31147.82517,13916.74572,11682,11682,96,96,12146,96,15857,907,0,0,0,0
+3/1/2022,RI,57807.22216,4475.750282,9374.407563,31087.69298,13850.15785,5402,5402,82,82,5337,110,25590,1104,0,0,0,0
+4/1/2022,RI,58401.67924,4484.889865,9402.09329,31258.66149,13886.98316,10432,10432,18,18,10367,18,34912,740,0,0,0,0
+5/1/2022,RI,58755.00136,4475.804034,9391.503134,31301.74434,13867.30717,19979,19979,39,39,21161,39,60668,1600,0,0,0,0
+6/1/2022,RI,58876.7893,4449.648617,9344.962433,31223.76773,13794.61105,9409,9409,30,30,9979,30,40992,25924,0,0,0,0
+7/1/2022,RI,59252.81814,4471.576835,9399.330346,31482.26186,13870.90718,7828,7828,21,21,7630,21,706,334,0,0,0,0
+8/1/2022,RI,59414.603,4477.348162,9419.721755,31626.8212,13897.06992,5419,5419,13,13,6239,13,14336,11887,0,0,0,0
+9/1/2022,RI,59529.93862,4479.658328,9432.781062,31746.29895,13912.43939,8489,8489,26,26,8823,26,7888,2639,0,0,0,0
+10/1/2022,RI,59417.09529,4480.406239,9442.491889,31853.96489,13922.89813,1709,1709,5,5,0,0,7220,2719,0,0,0,0
+11/1/2022,RI,59470.54234,4493.649661,9478.498632,32049.98504,13972.14829,0,0,0,0,0,,169,153,0,0,0,0
+12/1/2022,RI,59550.59331,4508.889583,9518.704581,32260.09342,14027.59416,0,0,0,0,0,,6438,2675,0,0,11,4
+1/1/2012,VA,443875.6381,31705.99123,68765.33297,200332.1403,100471.3242,0,0,0,0,0,,,,,,,
+2/1/2012,VA,443238.234,31740.70353,68754.0141,200366.5511,100494.7176,0,0,0,0,0,,,,,,,
+3/1/2012,VA,442745.676,31785.45646,68764.80172,200465.1075,100550.2582,0,0,0,0,0,,,,,,,
+4/1/2012,VA,443234.4675,31848.84412,68816.18035,200681.7803,100665.0245,0,0,0,0,0,,,,,,,
+5/1/2012,VA,444802.8818,31989.80325,69035.18489,201387.271,101024.9881,0,0,0,0,0,,,,,,,
+6/1/2012,VA,446097.2479,32111.09885,69211.61638,201968.6773,101322.7152,0,0,0,0,0,,,,,,,
+7/1/2012,VA,447214.1902,32204.72395,69328.39549,202376.0193,101533.1194,0,0,0,0,0,,,,,,,
+8/1/2012,VA,446990.8235,32201.782,69237.60513,202177.2004,101439.3871,0,0,0,0,0,,,,,,,
+9/1/2012,VA,446906.9228,32208.80363,69168.77534,202042.0855,101377.579,0,0,0,0,0,,,,,,,
+10/1/2012,VA,445697.9582,32217.70282,69104.47934,201919.8195,101322.1822,0,0,0,0,0,,,,,,,
+11/1/2012,VA,446113.1377,32343.78468,69291.72175,202532.3861,101635.5064,0,0,0,0,0,,,,,,,
+12/1/2012,VA,446298.0525,32453.25221,69443.30122,203040.7682,101896.5534,0,0,0,0,0,,,,,,,
+1/1/2013,VA,447945.0723,32476.89848,69377.02779,203072.2299,101853.9263,0,0,0,0,0,,,,,,,
+2/1/2013,VA,448807.9798,32444.22806,69191.10087,202752.2012,101635.3289,0,0,0,0,0,,,,,,,
+3/1/2013,VA,451899.0725,32572.8547,69349.43033,203440.4294,101922.285,0,0,0,0,0,,,,,,,
+4/1/2013,VA,451885.3027,32684.32662,69470.99382,204021.2725,102155.3204,0,0,0,0,0,,,,,,,
+5/1/2013,VA,451222.8492,32748.8945,69492.84724,204309.3176,102241.7417,0,0,0,0,0,,,,,,,
+6/1/2013,VA,449884.7157,32764.10677,69410.29162,204289.7716,102174.3984,0,0,0,0,0,,,,,,,
+7/1/2013,VA,450053.5746,32809.0077,69391.02058,204455.7278,102200.0283,0,0,0,0,0,,,,,,,
+8/1/2013,VA,450088.9568,32844.08761,69351.29544,204560.7986,102195.383,0,0,0,0,0,,,,,,,
+9/1/2013,VA,450638.4047,32916.61743,69390.86657,204899.3353,102307.484,0,0,0,0,0,,,,,,,
+10/1/2013,VA,450985.3326,32946.2817,69340.30986,204971.2779,102286.5916,0,0,0,0,0,,,,,,,
+11/1/2013,VA,451388.6789,32980.05353,69298.76523,205069.1411,102278.8188,0,0,0,0,0,,,,,,,
+12/1/2013,VA,451596.0386,32999.49062,69227.49892,205078.2689,102226.9895,0,0,0,0,0,,,,,,,
+1/1/2014,VA,449782.9119,32999.5535,69200.12124,205312.0335,102199.6747,0,0,0,0,0,,,,,,,
+2/1/2014,VA,448563.2251,33042.82541,69263.42121,205814.0508,102306.2466,0,0,0,0,0,,,,,,,
+3/1/2014,VA,446712.4036,33039.26158,69228.61629,206023.7413,102267.8779,0,0,0,0,0,,,,,,,
+4/1/2014,VA,447563.9628,33037.64121,69197.99108,206244.6387,102235.6323,0,0,0,0,0,,,,,,,
+5/1/2014,VA,448508.0824,33043.0889,69182.26955,206508.816,102225.3585,0,0,0,0,0,,,,,,,
+6/1/2014,VA,449715.0483,33068.08366,69207.55083,206894.5019,102275.6345,0,0,0,0,0,,,,,,,
+7/1/2014,VA,450418.4514,33080.51491,69206.60917,207200.9804,102287.1241,0,0,0,0,0,,,,,,,
+8/1/2014,VA,451854.2892,33146.79305,69318.35584,207844.4162,102465.1489,0,0,0,0,0,,,,,,,
+9/1/2014,VA,453119.1923,33200.53681,69403.8933,208409.2274,102604.4301,0,0,0,0,0,,,,,,,
+10/1/2014,VA,454533.9885,33271.01324,69524.40951,209079.0745,102795.4228,0,0,0,0,0,,,,,,,
+11/1/2014,VA,456183.8898,33358.66522,69680.78915,209857.0858,103039.4544,0,0,0,0,0,,,,,,,
+12/1/2014,VA,458187.6821,33472.11968,69891.00447,210797.9405,103363.1241,0,0,0,0,0,,,,,,,
+1/1/2015,VA,461729.5662,33748.81667,70170.54604,212273.0363,103919.3627,0,0,0,0,0,,,,,,,
+2/1/2015,VA,462384.7848,33814.57412,70010.62026,212420.5754,103825.1944,0,0,0,0,0,,,,,,,
+3/1/2015,VA,462911.7679,33870.8901,69832.20041,212509.749,103703.0905,0,0,0,0,0,,,,,,,
+4/1/2015,VA,464855.3752,33965.89253,69734.33097,212842.3542,103700.2235,0,0,0,0,0,,,,,,,
+5/1/2015,VA,466040.3014,34005.60801,69523.87646,212829.3394,103529.4845,0,0,0,0,0,,,,,,,
+6/1/2015,VA,467427.532,34060.28678,69345.27265,212911.1034,103405.5594,0,0,0,0,0,,,,,,,
+7/1/2015,VA,468515.3534,34152.68124,69244.25518,213229.3449,103396.9364,0,0,0,0,0,,,,,,,
+8/1/2015,VA,469982.7278,34272.73255,69199.55144,213720.4746,103472.284,0,0,0,0,0,,,,,,,
+9/1/2015,VA,472152.9882,34444.05987,69257.95583,214530.9762,103702.0157,0,0,0,0,0,,,,,,,
+10/1/2015,VA,472431.5252,34569.63999,69223.90921,215056.129,103793.5492,0,0,0,0,0,,,,,,,
+11/1/2015,VA,472353.3358,34669.06819,69137.62737,215418.7109,103806.6956,0,0,0,0,0,,,,,,,
+12/1/2015,VA,472947.6141,34817.87454,69149.75836,216088.0556,103967.6329,0,0,0,0,0,,,,,,,
+1/1/2016,VA,472632.6641,34859.68869,69177.97611,216556.0568,104037.6648,0,0,0,0,0,,,,,,,
+2/1/2016,VA,472853.2961,34941.01238,69284.59348,217269.5221,104225.6059,0,0,0,0,0,,,,,,,
+3/1/2016,VA,471689.0057,34919.88868,69188.16015,217345.5997,104108.0488,0,0,0,0,0,,,,,,,
+4/1/2016,VA,471943.5,34864.2401,69023.62675,217205.6288,103887.8669,0,0,0,0,0,,,,,,,
+5/1/2016,VA,473050.0976,34871.89475,68984.6793,217459.0534,103856.5741,0,0,0,0,0,,,,,,,
+6/1/2016,VA,473953.1557,34864.79482,68916.72666,217619.7744,103781.5215,0,0,0,0,0,,,,,,,
+7/1/2016,VA,475032.3361,34909.56457,68951.42874,218103.7825,103860.9933,0,0,0,0,0,,,,,,,
+8/1/2016,VA,475595.1674,34916.45429,68911.41472,218350.7387,103827.869,0,0,0,0,0,,,,,,,
+9/1/2016,VA,476042.4657,34914.97298,68855.05236,218544.6894,103770.0253,0,0,0,0,0,,,,,,,
+10/1/2016,VA,477150.7008,34896.83736,68766.05653,218633.5961,103662.8939,0,0,0,0,0,,,,,,,
+11/1/2016,VA,479125.4714,34942.33301,68802.58714,219120.638,103744.9202,0,0,0,0,0,,,,,,,
+12/1/2016,VA,480406.9817,34937.48631,68740.10874,219291.5433,103677.5951,0,0,0,0,0,,,,,,,
+1/1/2017,VA,478430.0369,34897.24847,68747.1381,218934.6871,103644.3866,0,0,0,0,0,,,,,,,
+2/1/2017,VA,477501.2472,34932.91971,68903.25534,219054.6083,103836.175,0,0,0,0,0,,,,,,,
+3/1/2017,VA,477568.9969,35041.3934,69202.88688,219631.1557,104244.2803,0,0,0,0,0,,,,,,,
+4/1/2017,VA,477731.2188,35053.58854,69312.23836,219604.422,104365.8269,0,0,0,0,0,,,,,,,
+5/1/2017,VA,479077.1326,35152.63667,69593.16331,220122.0037,104745.8,0,0,0,0,0,,,,,,,
+6/1/2017,VA,479829.0413,35208.09904,69787.74276,220366.7249,104995.8418,0,0,0,0,0,,,,,,,
+7/1/2017,VA,481419.5058,35288.11026,70030.87936,220765.2208,105318.9896,0,0,0,0,0,,,,,,,
+8/1/2017,VA,481989.3553,35293.4061,70125.51881,220696.5587,105418.9249,0,0,0,0,0,,,,,,,
+9/1/2017,VA,481890.3945,35249.9507,70122.78033,220323.6658,105372.731,0,0,0,0,0,,,,,,,
+10/1/2017,VA,483211.437,35286.37824,70278.51749,220450.5945,105564.8957,0,0,0,0,0,,,,,,,
+11/1/2017,VA,484437.8813,35316.0855,70420.61003,220535.853,105736.6955,0,0,0,0,0,,,,,,,
+12/1/2017,VA,485760.1421,35352.96317,70576.74332,220666.1993,105929.7065,0,0,0,0,0,,,,,,,
+1/1/2018,VA,487101.3642,35374.27892,70544.09381,220686.3695,105918.3727,0,0,0,0,0,,,,,,,
+2/1/2018,VA,488973.132,35434.57995,70589.63995,220950.4297,106024.2199,0,0,0,0,0,,,,,,,
+3/1/2018,VA,491341.288,35531.14301,70707.71129,221441.031,106238.8543,0,0,0,0,0,,,,,,,
+4/1/2018,VA,492205.0907,35607.96879,70786.75408,221808.9973,106394.7229,0,0,0,0,0,,,,,,,
+5/1/2018,VA,493092.868,35686.47386,70869.41854,222187.8495,106555.8924,0,0,0,0,0,,,,,,,
+6/1/2018,VA,494346.6861,35791.42702,71004.82842,222731.7042,106796.2554,0,0,0,0,0,,,,,,,
+7/1/2018,VA,495497.6003,35904.08638,71155.67669,223323.7407,107059.7631,0,0,0,0,0,,,,,,,
+8/1/2018,VA,496715.0529,36021.51727,71316.10477,223945.6416,107337.622,0,0,0,0,0,,,,,,,
+9/1/2018,VA,497239.1436,36088.57989,71377.02551,224254.7224,107465.6054,0,0,0,0,0,,,,,,,
+10/1/2018,VA,497076.4631,36171.94864,71470.47483,224665.5466,107642.4235,0,0,0,0,0,,,,,,,
+11/1/2018,VA,497557.3175,36301.9452,71656.20498,225366.2051,107958.1502,0,0,0,0,0,,,,,,,
+12/1/2018,VA,498142.8742,36439.52253,71856.94232,226113.9911,108296.4648,0,0,0,0,0,,,,,,,
+1/1/2019,VA,500482.4565,36529.64234,72008.7572,226753.1605,108538.4072,0,0,0,0,0,,,,,,,
+2/1/2019,VA,501979.5809,36558.38663,72039.62277,227011.2357,108598.0247,0,0,0,0,0,,,,,,,
+3/1/2019,VA,502883.236,36544.25135,71986.10235,227002.7092,108530.3765,0,0,0,0,0,,,,,,,
+4/1/2019,VA,503105.7873,36516.88225,71906.66181,226911.52,108423.5744,0,0,0,0,0,,,,,,,
+5/1/2019,VA,504522.7995,36576.37422,71998.35846,227359.7786,108574.7706,0,0,0,0,0,,,,,,,
+6/1/2019,VA,505924.046,36634.78419,72087.96107,227801.2007,108722.7907,0,0,0,0,0,,,,,,,
+7/1/2019,VA,508798.6024,36666.44716,72124.98713,228076.1365,108791.4873,0,0,0,0,0,,,,,,,
+8/1/2019,VA,512227.0245,36738.33824,72241.18936,228601.1635,108979.5881,0,0,0,0,0,,,,,,,
+9/1/2019,VA,515479.9604,36797.82137,72333.01877,229048.9034,109130.9082,0,0,0,0,0,,,,,,,
+10/1/2019,VA,516044.5137,36810.16032,72332.24358,229202.9891,109142.4794,0,0,0,0,0,,,,,,,
+11/1/2019,VA,517401.8654,36879.11692,72442.78184,229709.4283,109321.9817,0,0,0,0,0,,,,,,,
+12/1/2019,VA,517722.7821,36874.27756,72408.43086,229755.9962,109282.7987,0,0,0,0,0,,,,,,,
+1/1/2020,VA,515929.4779,37051.68824,72464.80957,228524.2705,109516.5729,0,0,0,0,0,0,14,10,1,1,0,0
+2/1/2020,VA,514522.4633,37255.91969,72574.51757,227464.962,109830.4973,0,0,0,0,0,0,90,90,16,16,0,0
+3/1/2020,VA,514841.0092,37585.42825,72927.95333,227168.0322,110513.4267,1020,1020,27,27,1249,27,8424,8402,2232,2230,116,114
+4/1/2020,VA,507070.1912,38033.69105,73509.65042,227571.5655,111543.3717,14826,14160,525,516,14598,525,35807,33869,5370,5352,1203,1102
+5/1/2020,VA,496035.9332,38241.57476,73625.53956,226527.0843,111867.1294,28761,27319,823,731,28760,823,53732,52034,4519,4486,502,444
+6/1/2020,VA,483811.6952,38352.85247,73556.74246,224920.8098,111909.5949,18180,17625,388,384,18180,388,34999,33901,2273,2253,56,48
+7/1/2020,VA,493174.1873,38486.54476,73532.76103,223460.6081,112019.2908,27101,26377,411,409,27101,411,60566,58143,4133,4108,127,120
+8/1/2020,VA,502423.2496,38614.94825,73500.34258,221983.0478,112115.2609,30706,28833,406,380,30706,406,59857,56095,3523,3473,142,127
+9/1/2020,VA,512244.183,38790.12749,73558.29966,220785.1236,112348.3824,27677,25280,628,548,27677,628,53670,48996,2455,2393,184,158
+10/1/2020,VA,515194.7191,39022.95608,73726.16019,219919.9866,112749.0566,32919,27089,446,403,32919,446,68808,56934,3345,3198,244,190
+11/1/2020,VA,518222.2879,39261.61499,73905.16511,219088.7408,113166.7055,56645,43551,408,325,56645,408,128807,99952,5513,5115,679,508
+12/1/2020,VA,519083.0138,39336.06777,73776.28177,217350.8694,113112.2604,111749,82192,970,714,111749,970,237848,178806,8224,7564,1814,1400
+1/1/2021,VA,521084.8885,39823.13049,74238.87265,218458.7149,114061.9217,155195,111023,1432,1220,155195,1432,290423,212141,8352,7640,1972,1470
+2/1/2021,VA,523326.1037,40326.08599,74734.28883,219664.9729,115060.301,71271,49463,2088,1677,71271,2088,125841,89988,3968,3615,174,141
+3/1/2021,VA,524197.2332,40720.41766,75032.42925,220293.6893,115752.7809,42926,29843,1700,1268,42926,1700,87575,57803,3028,2775,35,30
+4/1/2021,VA,524588.4323,41133.51074,75369.92945,221040.722,116503.3818,40614,28732,518,454,40614,518,74420,47711,3048,2681,53,43
+5/1/2021,VA,525089.808,41551.28942,75720.35116,221828.16,117271.5898,15948,13062,416,383,15948,416,29248,18530,1447,1332,11,8
+6/1/2021,VA,525322.1085,41943.78042,76029.0322,222495.8426,117972.7693,4802,3966,229,196,4802,229,12067,7811,682,617,0,0
+7/1/2021,VA,525998.8274,42372.46306,76407.36813,223369.7386,118779.7953,15290,9232,118,102,14044,117,40492,25853,1709,1543,22,20
+8/1/2021,VA,526986.019,42822.98787,76828.43255,224370.5129,119651.3918,70805,45126,309,263,72051,310,151256,98135,4851,4333,282,232
+9/1/2021,VA,528390.35,43304.80361,77308.36073,225544.8043,120613.1429,100341,65103,908,768,100341,908,180898,119638,5180,4694,575,467
+10/1/2021,VA,530790.2973,43669.20897,77582.03594,226119.349,121251.2307,57995,38155,1157,919,57995,1157,112237,73204,3326,3034,147,118
+11/1/2021,VA,532937.4506,44010.85025,77819.67005,226591.4763,121830.5133,44345,27782,803,663,44345,803,92676,58446,2768,2508,182,141
+12/1/2021,VA,535418.7528,44378.20281,78106.96645,227210.7269,122485.1693,149402,92314,877,674,149402,877,361094,236222,8115,7647,658,576
+1/1/2022,VA,534385.6565,44305.23818,78285.83845,227809.648,122591.0766,427118,296428,630,494,427132,630,810069,573563,9740,9314,2001,1675
+2/1/2022,VA,533003.8776,44203.22355,78409.95579,228248.3622,122613.1793,94306,65937,2554,2036,94292,2554,166903,112143,2187,2089,149,104
+3/1/2022,VA,529736.4842,43944.6386,78251.68355,227863.8694,122196.3222,28949,26637,921,846,28949,921,51381,37766,717,677,0,0
+4/1/2022,VA,532156.4127,44014.70842,78675.19996,229172.6375,122689.9084,32556,24803,544,478,32567,544,70819,48865,537,501,0,0
+5/1/2022,VA,532403.1071,43906.07114,78776.89425,229543.3701,122682.9654,86309,58678,153,134,86298,153,84716,57220,778,717,0,0
+6/1/2022,VA,530598.4034,43630.29503,78574.0252,229025.4793,122204.3202,81475,55142,209,182,81475,209,41160,29846,924,867,12,8
+7/1/2022,VA,535278.3833,43826.16676,79217.9375,230975.1115,123044.1043,90861,60052,339,254,85485,320,143365,97127,2144,1966,69,53
+8/1/2022,VA,538020.6852,43863.71719,79575.17027,232088.7484,123438.8875,80014,53111,479,378,85390,498,138274,90713,1944,1788,66,46
+9/1/2022,VA,540334.5845,43867.47507,79869.33566,233018.0059,123736.8107,48602,31186,450,346,47254,433,46401,29588,759,707,26,21
+10/1/2022,VA,541696.3696,43856.06991,80133.8303,233860.189,123989.9002,7174,4505,91,68,0,0,31769,20142,644,604,15,13
+11/1/2022,VA,544562.8915,43967.06455,80620.62437,235350.7918,124587.6889,0,0,0,0,0,,30932,18725,688,645,0,0
+12/1/2022,VA,547669.479,44097.62117,81142.8663,236944.7716,125240.4875,0,0,0,0,0,,60181,35493,1156,1079,0,0
+1/1/2012,MA,437132.1513,27721.34853,58403.47486,203709.9749,86124.82339,0,0,0,0,0,,,,,,,
+2/1/2012,MA,437236.0574,27727.81154,58369.04583,203748.874,86096.85737,0,0,0,0,0,,,,,,,
+3/1/2012,MA,437479.8215,27743.14433,58353.48674,203852.9854,86096.63107,0,0,0,0,0,,,,,,,
+4/1/2012,MA,438989.9799,27774.81826,58372.45242,204077.1968,86147.27068,0,0,0,0,0,,,,,,,
+5/1/2012,MA,441569.227,27874.1454,58533.60935,204798.496,86407.75474,0,0,0,0,0,,,,,,,
+6/1/2012,MA,443878.0791,27956.30065,58658.62954,205393.6151,86614.93019,0,0,0,0,0,,,,,,,
+7/1/2012,MA,444952.2759,28014.36234,58733.08937,205811.7188,86747.45171,0,0,0,0,0,,,,,,,
+8/1/2012,MA,444693.0802,27988.50862,58631.79282,205613.3566,86620.30144,0,0,0,0,0,,,,,,,
+9/1/2012,MA,444572.8688,27971.46315,58549.24835,205479.7567,86520.7115,0,0,0,0,0,,,,,,,
+10/1/2012,MA,443345.4844,27956.18662,58470.68678,205359.2015,86426.8734,0,0,0,0,0,,,,,,,
+11/1/2012,MA,443733.7283,28042.64529,58605.01214,205985.987,86647.65743,0,0,0,0,0,,,,,,,
+12/1/2012,MA,443892.915,28114.67995,58709.15471,206506.8146,86823.83466,0,0,0,0,0,,,,,,,
+1/1/2013,MA,443749.723,28128.98324,58693.24251,206657.6047,86822.22575,0,0,0,0,0,,,,,,,
+2/1/2013,MA,442839.6404,28094.54374,58575.8795,206450.0376,86670.42324,0,0,0,0,0,,,,,,,
+3/1/2013,MA,444132.2273,28199.79114,58749.86389,207268.8398,86949.65503,0,0,0,0,0,,,,,,,
+4/1/2013,MA,445150.2153,28290.17409,58892.78544,207978.4831,87182.95953,0,0,0,0,0,,,,,,,
+5/1/2013,MA,445529.3205,28339.95809,58951.1847,208389.6644,87291.14279,0,0,0,0,0,,,,,,,
+6/1/2013,MA,445238.3728,28347.04825,58920.90133,208486.7823,87267.94958,0,0,0,0,0,,,,,,,
+7/1/2013,MA,446672.0274,28379.84523,58944.20381,208772.8161,87324.04904,0,0,0,0,0,,,,,,,
+8/1/2013,MA,447969.691,28404.16379,58950.02134,208996.355,87354.18514,0,0,0,0,0,,,,,,,
+9/1/2013,MA,449776.5633,28460.88134,59023.16593,209458.1979,87484.04727,0,0,0,0,0,,,,,,,
+10/1/2013,MA,450460.1758,28480.54829,59019.5664,209647.2739,87500.11469,0,0,0,0,0,,,,,,,
+11/1/2013,MA,451199.0459,28503.78546,59023.50945,209862.4866,87527.29492,0,0,0,0,0,,,,,,,
+12/1/2013,MA,451740.8213,28514.6546,59001.99835,209986.4817,87516.65295,0,0,0,0,0,,,,,,,
+1/1/2014,MA,449677.9366,28543.75656,59043.66042,210352.2181,87587.41697,0,0,0,0,0,,,,,,,
+2/1/2014,MA,448208.9742,28610.1611,59162.53005,210992.4792,87772.69115,0,0,0,0,0,,,,,,,
+3/1/2014,MA,446110.0221,28635.93809,59197.43425,211332.7336,87833.37234,0,0,0,0,0,,,,,,,
+4/1/2014,MA,447498.978,28663.28603,59235.65825,211683.9916,87898.94428,0,0,0,0,0,,,,,,,
+5/1/2014,MA,448978.5171,28696.66113,59286.40484,212079.216,87983.06597,0,0,0,0,0,,,,,,,
+6/1/2014,MA,450719.6584,28746.93065,59372.10657,212598.8742,88119.03722,0,0,0,0,0,,,,,,,
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diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
index 7bd8125..bfb869f 100644
--- a/reports/figures/figures.ipynb
+++ b/reports/figures/figures.ipynb
@@ -995,10 +995,27 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Dashboard Figures\n",
+    "\n",
+    "## Dynamic Factor Model Runner\n",
+    "\n",
+    "![](imgs/1.png)\n",
+    "\n",
+    "## Factor Analysis\n",
+    "\n",
+    "![](imgs/2.png)\n",
+    "\n",
+    "## Cmoparative Run Analysis\n",
+    "\n",
+    "![](imgs/3.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": []
   }
  ],
diff --git a/reports/figures/imgs/1.png b/reports/figures/imgs/1.png
new file mode 100644
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NKuTKo(03ob_!o4)-<1FW

literal 0
HcmV?d00001


From 517b603afc61849f3c68f2c4d376124688bd5953 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 17:48:27 -0700
Subject: [PATCH 07/15] Update

---
 reports/figures/figures.ipynb | 40 +++++++++++++++++------------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
index bfb869f..eaffa9d 100644
--- a/reports/figures/figures.ipynb
+++ b/reports/figures/figures.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -262,7 +262,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -274,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -299,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
@@ -482,7 +482,7 @@
        "4      0.0    MN  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -508,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -587,7 +587,7 @@
        "249 2020-06-01  Cases1          0.016776  Data"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -635,7 +635,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -654,7 +654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -711,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -768,7 +768,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -847,7 +847,7 @@
        "39 2020-06-01  Cons2          0.154480  Data"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -889,12 +889,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -913,7 +913,7 @@
     "\n",
     "# Plot the factor with a contrasting color and thicker line\n",
     "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
-    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Economic Factor')\n",
     "\n",
     "# Customize the plot appearance\n",
     "ax.spines['top'].set_visible(False)\n",
@@ -946,12 +946,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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xRby8vIDeDJ1zzz233/26glkOh4N3333XrTwxNzeXSy65hAcffJAXXnjB7XZFRUVcdtll3HnnndJ5f/nLX9i0aRMXXXQRa9as4dJLLwV6t7uuvfZa/vvf/7J//35mzpx52NfsqaeeYufOnZx99tk8/PDD0nOA3gE0w6nG+Oqrr6TMqr6uueYalEolmzdv7hdoa2pq4txzz+XRRx91C0YVFhbyyCOPoNVq2bRpkzRUzfUcXcPYVq5cSW1trRSMOjQI6HA4uPPOOzGZTLzyyissX75cumz9+vW8+uqr/P3vf+ehhx5yu51eryc9PZ1Nmzbh6+s75NdgshDBKEEQPM5sNh+V/aL6io2NFdlRU0hTUxNmsxlgXMribDYbLS0t6PV6WltbCQgIkJqYnn766cyYMYOCggJ27tzJ1q1biYiIIDIycszXJQiCIAjj4d133+Xee++ls7NzopcisdvtWK1WfHx8CAkJ4f777+e8885Do9HQ0dFBRETEsLOjqqurefrpp4HeYNeePXvIzc1FqVRK2UuDZbKcffbZ3H///WzdunXAYNT111/vNlBFpVJx4okn8uGHH1JRUUF6ejrQG4wCuOWWW9yCOOnp6Zx99tm89957bvf7n//8h9raWm688cZ+fbIWLFjAiSeeyLfffktXV5fUXwt6M8tvvvlmt+ufccYZbNq0idDQULfyNJlMxmmnncZ///tfCgsLDxuMstlsvPPOOwQFBfHnP//Z7TkAgw42G8xXX33FV1991e/8Sy+9FKVS2S8QBRAeHi4F+mpra6XMpn/96184HA5uvvlmt0CU6zlGREQMaU07d+6kurpaGpTT1x//+Efef/99PvvsM/7yl7/028dau3btlAxEgQhGCYIwBsxm81FfViSyo6aWsrIy6ffD9U8YDZvNRnNzsxSA8vf3R6vVEhcXx+7du+ns7CQoKAi5XM66deuko4cffvghWVlZqFSqoz7IKwiCIEwPjz76KIWFhRO9jEHV19fz6KOPct5556HVaiksLCQ7O5vc3NxhZUdVV1fzzDPPAL1Tl9VqNWeccQbXXHONFCyC3snx77zzDvv376ejowO73S5d5squOdRAARxX8KNvkK+oqAh/f/8Br79gwYJ+waj8/HwAKioqpEBaX3q9HofDQUVFhZTdBb0H8w7d/tdqtUBv4OvQDG9XIG2w5+dSXl5Od3c3y5Yt80gp3uOPP37YBuYHDx7kxRdfZNu2bTQ2NkqDmVyampqkYNSePXuA3jYLo1FQUADAokWL+l0WEBDArFmz2LJli1uQEUCpVLqdnmpEMEoQBI+zWCxSWvPRTGRHTR1jFYyyWq1SAKqtrY2AgAC0Wi3JycluG7IRERHU1dVJGxQXXHABd999NwcPHuSbb77huuuuo6yszKO9KgRBEARhotx+++3cc889kyozymq1YrfbUSqVBAcHs3btWqC3VM/hcGC1WoedHXXsscfy6quvHvY6r732Gn/7299QqVQcc8wxREZGSpkub7zxBlardcDb9c1KcvH27t297xvM6uzsHDS7eqCsLIPBAMCnn3562HWbTKYjrseVxXS4y2w222Efx/UeGWqW0WhUVVXxu9/9jq6uLhYvXsyvf/1rAgMDkcvl5OTkkJOT4xac6urqQiaTSUG3kerq6gIYdHiO6/5d13NRq9VTuo2DCEYJguBxokyvl8iOmjpKS0ul30dbpueauqPX62lvbycwMBCtVktqauqgGYNRUVHs2rWL5ORkvL29USgU3HbbbVK6+3vvvccf/vAHWltb+zWvFITpas+ePTz++OO0trby3HPP9SuBEARh6jrvvPM477zzJnoZEqfTyY8//khPTw8nnXSSWymYXC5Ho9Gg1+uJi4tjx44dHukdBb2BmOeeew6tVsvHH3/sFhxyOp288soro36MoKAg2traBryspaWl33muwNELL7zAr3/961E//mi5Dug2NjaO+WO9/vrrGAwG1q9fz9lnn+122b333itNxHMJCgrC6XSi1+tHFSxzvebNzc0DXq7X692u5zKVA1EAR9/cdUEQxtzR3sC8r9jYWNrb2+no6JjopQiHUVlZKf0+kswoi8VCbW0t+fn5/PLLLzQ0NKBSqVi8eDHz588nLi7usKWrQUFBBAQEuG1oXXXVVVLg6d///jc+Pj4UFxe7He0UhOkoLy+Ps88+mzlz5vDGG2/w6aefcu211070sgRBmMasVqvUZuLQnkTQm5mi1+vx9fWVsqM8oa2tjc7OTubOndsvS2nv3r309PSM+jHS09MxGo3s37+/32W5ubn9znMdQHWV6020xMREAgMD2bt3r5S1NVaqq6sBOPHEE93Odzqd7Nq1q9/1Xa/Vli1bjnjfribrDoej32Wu3lyHBrugt9fYvn378PX1JTEx8YiPM5WIYJQgCB5lt9ux2WwiGPX/+fj4EB0d7RbsECYf18YHDD0YZTabqampYdeuXfzyyy80NTWh0WhYsmQJ8+bNIzY2dlgNJXU6HXV1dTidTqC3R8ANN9wA9B45/ec//4lSqRTvJWHa+uWXX1ixYgULFizgk08+cbvs888/Z8eOHRO0MkEQprvu7m68vLwGPXAUFhaG3W6ns7OTuLg49Ho9RqNx1I+rVqvx9fVl//79bmVvBoOBBx54YNT3D0gZPk888YTbAa2ioiI+/vjjftc/6aST0Ol0bNiwYcDPXavVOmAQa6x4e3tz/vnn09nZyYMPPtjvoFxnZyfd3d0eeSxXL6i8vDy381966SWKi4v7XX/VqlV4eXnx5JNPUltb63aZ0+l0O8joamFSX1/f737mzZtHXFwcP/74I1u3bnW77Pnnn6e9vZ3TTz992lWeiDI9QRA8ymw2I5fLpZp1oTc7atu2baJ31CRWU1MD9AYPDze1rqenRyrB6+joICQkhPDwcGbMmDHqAGx4eDhlZWXS/QKsWbOG9evXYzKZePXVV7ntttuoqqoiPDx82NNjBGGy+u9//8tf//pXfvjhB7fzdTodxx57LP/+978B+Otf/8pnn302EUsUBGGaMxqNKBSKQb/L5XI5arUavV5PcnIy4eHhw56sN9j9Xnjhhbz22mucffbZ/PrXv6arq4sff/yR6Ohot2l5I3XOOefw2Wef8dNPP/Hb3/6W4447DoPBwObNmzn22GP7ffb6+Pjw1FNPcfXVV3PxxRezZMkS0tLSkMlk1NXVkZubS2hoKF9++eWo1zZUN910E7t37+bjjz9m9+7dLF++HB8fH2pqavjpp594++23PdJXc9WqVXzwwQfceOONrFixgtDQUPLz8ykoKOBXv/oV//nPf9yun56ezl133cUDDzzAGWecwYknnkh0dDR6vZ7c3FyOP/54/vznPwOwePFiZDIZjz/+OCUlJQQFBREcHMzFF1+MXC7n4Ycf5qqrruKaa67hlFNOITo6ml27dpGTk0NcXBx/+tOfRv38JhuRGSUIgkdZLBZ8fHymfA2zJ7myozyV0i14ltPppK6uDoC4uDgpjdrFZDJx8OBBdu7cyfbt22lpaSEiIoKlS5eSnZ1NdHS0RzIBvby8pEbmLhqNhquvvhro3VDesGEDsbGxFBUVSRlUgjAVOZ1Ovv76a5YvX86vfvUrt52h+Ph4nn/+ecrLy3nzzTelMdubN28e16PxgiAcPVyZUYf7PneV6jmdTuLj4z2WHXXrrbdyyy23IJPJePvtt9m6dStnnHEGr776KgqFYtT3L5fLee6557jqqqswGAxs3LiRXbt2ceedd3L55ZcPeJusrCw++eQTLrnkEhoaGvjXv/7F+++/T3l5OSeddBL/93//N+p1DYdSqWTDhg2sW7cOPz8/3n33XTZt2kRZWRmrVq2SMppGa8aMGbz66qvMmDGDr7/+mvfff5/g4GA2bdrErFmzBrzNxRdfzBtvvMHixYv56aefePXVV/n555/JyMhgxYoV0vVSUlJ4+OGHCQsL46233uKpp57itddeky5fsGAB77zzDieccAI///wzr732GrW1tVxyySW8884707JnqMwptmaHZP/+/axcuZIPPvhgwLGYgiD0amxspK6ujrlz5070UiYVi8XCtm3byM7OFtlRk4xer5eOPJ544ol8++23mEwm9Ho9er2erq4uwsLC0Gq1qNXqMU2R7u7uJi8vj6VLl0oboFVVVSQnJ2O321GpVFRWVnLgwAGioqKknXRBmCqcTiebN2/m/vvv79cbIzk5mbvuuovVq1e77YC98MILXHfddQCcccYZR5zwJAiCMFz5+fmYTCaioqIGHWTicDj4+eefyc7OJigoiMLCQgAyMjLGcaWCMH2IzChBEDxKTNIbmMiOmrz69gCIjIwkNzeXnJwcDAYD0dHRLFu2jKysLKKiosb8vR0QEEBQUJBbj4H4+HguvPBCAFpbW3nttddIT0+nsrKy31hlQZisHA4HH3zwAfPmzePMM890C0RlZGTw5ptvUlhYyBVXXOEWiDKZTPz+97+XAq+fffZZv14egiAIo9Xd3Y1MJjtsZlTfUj3o/X5uamoS38WCMEIiGCUIgkeJSXqDi42Npa2tTUzWm2RKSkqk30NCQggNDeWYY45h9uzZREZGeiRFfjgObWQOcPvtt0u/P/bYY/j7+xMREUFxcbEo1xMmNbvdzr/+9S9mz57Nueee6zadafbs2bzzzjvs27ePiy++GG9vb5xOJ+3t7ZSVlZGTk0NOTg4FBQWsXbtWut1f//rXCXgmgiBMV1arFavVitPpPOI2bN9SPT8/P6l3lCAIwyeCUYIgeJTZbBbBqEGI7KjJqaKiQvpdq9WiUqkmtAG/VqvFYrG4jS+eNWsWZ5xxBgAHDx5k06ZNJCUl0d3dTVNT00QtVRAGZbPZeOONN8jMzOSCCy6goKBAumzevHl8+OGH5Ofn8/vf/x6Hw0FTUxMFBQX8/PPP7N+/H6vVSlxcHDqdDovFwtKlS4mJiQHg008/ZefOnRP11ARBmGa6u7tRKpXYbLYjZkCrVCosFos0vU1kRwnCyIlglCAIHiXK9A7PlR3V2dk50UsR/r++wUGVSjXhwVS5XE5UVJRbI3OAdevWSb//7W9/Qy6Xk5qaSmlpKVardbyXKQgDslgsvPzyy6SmpnLZZZe5ZR4uWbJEakJ+8sknU1tbS35+Plu3bqWqqgo/Pz+ysrJYunQparWaiooKOjs7kclkGI1GqW8UiOwoQRA8x2g04uvri91uP+I2gJeXFyqVSirVE9lRgjByIhglCIJHiTK9w3NlR1VWVk70UoT/r7q6Wvo9PDwcX1/fCVxNr6ioKPR6PRaLRTrv2GOP5ZhjjgGgoKCAzZs3o9FoCAkJobS0dKKWKggA9PT08Oyzz5KcnMw111zj9hl3/PHH8/XXX/P555+TlpZGTk4Oubm5tLW1odVqWbx4MQsXLiQxMRGFQsG+ffsoLi4mISGBuXPnEhERQXBwMIsXL0an0wHwySefsGvXrgl6toIgTCfd3d0oFArkcvmQMqP7luqByI4ShJESwShBEDzG6XSKMr0hENlRk0ttbS3Qe7QzMjISLy+vCV4R+Pv7ExISQkNDg9v5fbOjHnnkEWQyGampqTQ3N9Pa2jreyxQEjEYjTzzxBImJiaxZs4aamhrpspNOOomPPvqI5557Dj8/Pw4cOIDdbic5OZljjjmGrKwsoqOj8fX1xeFwUFlZyY4dO/D19WXRokVERUUhk8mIjo6ms7OT6OhoVq9eLd2/yI4SBMETjEYj3t7eKJVKZDLZEa+vVqvp6enBaDQCIjtKEEZKBKMEQfAYV/NHUaZ3eCI7avKw2WxSwCcyMpLAwMAJXtH/DNTI/PTTT2fmzJkAbN26lS1btqBUKklKSqK4uBi73T5RyxWOMp2dnfztb38jPj6eW2+91S1wesIJJ/D6669z9913Ex0d7VZ+l56ejkajcQv6trS0sGPHDlpaWsjOziYtLc1tcEBwcDD+/v4EBARw2mmnERkZCcDHH38ssqMEQRi17u5uvLy8hnww9dBSPYC4uDiRHXUUs1qtNDc3U15ezq5du8TU1yESwShBEDzGYrHg7e09KTJLJjuRHTU56PV6abphdHT0pMrq02g02O122trapPPkcnm/7CjoDVz5+PiIAKcw5trb27nvvvuIj4/njjvuoLm5Wbrs+OOP5+WXX+bJJ5/kN7/5DUuWLGHBggUkJiYSHBzcL+Ogp6eHffv2ceDAAWJiYpg3bx7BwcH9HtOVHVVfX8+cOXM4//zzpcvuu+++sXuygiBMezabDYvFglwuH9Y2gKtUz8Xf3x+tViuyo44CTqcTo9FIfX09hYWF5OTk8PPPP1NeXo7VaiUyMlI6cCgc3sSNCxIEYdoRJXpD1zc7avbs2RO9nKNW3+bKOp1uUvSLcunbyFylUknnr1q1irvvvpvq6mo2b97M3r17mT17Nunp6eTl5REeHk5QUNAErlyYjoqKinjjjTd49tlnpQAu9AaKTjjhBG688UaWLVtGWFjYEQ9IOBwOampqqKqqQqvVsmjRoiNm1IaHh1NWVobdbufaa6/l7bffRq/X89FHH5Gfn092drYnnqYgCEeZ7u5ufHx8htS8vC+1Wk1RURFGoxF/f3+gt3dUbm4u8fHx+Pn5jdWShXFmt9vp7Oyko6MDg8GAwWDA4XAQFBRESEgIycnJBAcHu2X0CkMjMqMEQfAYMUlveER21MQrLy+Xfo+IiJh0wdSoqChaWlowm83SeQqFgttuu006vX79egACAgKIjY2lqKjIrbRPEEaqqqqKRx55hDlz5pCRkcHDDz8sBaK8vLxYuXIlubm5fPPNN5x11ln9yu8G0tbWRm5uLo2NjWRlZZGRkTGk7w25XI5Op6O2tpb09HQuvfRS6TKRHSUIwki5gknDPaDq7e1NWFiYyI6ahiwWC3q9ntLSUnbu3MmWLVsoKCigo6OD0NBQsrKyOPbYY5k7dy5JSUmo1WoRiBohEYwSBMFjxCS94fHx8UGn04nSqglUUVEh/a7VaickM8rpdOJwOAa8zM/Pj7CwsH6NzK+88krUajUAmzZtkjZ84+PjpawTQRgup9NJZWUlDz30EPPmzSMhIYE777yTPXv2SNdRKBRcfvnlFBUV8f777zNv3rwhNfw1m80UFBSwb98+oqKimD9/PiEhIcNan06no7W1lZ6eHtatWyf9DXz44Yfs3r17eE9WEASB3syogICAEWX3H1qqB2Ky3lTjdDrp6uqirq6OAwcOsG3bNrZu3UplZSUOhwOdTseiRYtYunQps2bNIjY2luDgYORyEUbxBFGmJwiCx4gyveGLi4tj27ZtdHZ2itKqCdD36KVGoxmX96/NZqOzs1NK9e7o6MDf33/QnXqdTkdJSQlxcXHS5QEBAdxwww385S9/wW6389hjj/GPf/wDuVxOWloae/fuRaPRiDIBYVBOp5Oenh46Ozupqanho48+YvPmzeTn5w8YHF20aBGrVq3i/PPPR6fTDetxamtrqaioQK1Ws2jRohH/nSmVSrRaLXV1daSkpEh/A9CbHfX++++P6H4FQTh6GY1G1Go1TU1Nw/5s0mg0FBUVYTKZpO9bV3ZUdXU16enpY7FkYRTsdrtUbtfR0UFHRwdOp1MquYuIiCA4OBhvbxEmGQ/iVRYEwWPMZvOkmkY2FfTNjhK9o8Zf3wwitVrt8cwop9OJ2Wx2Czx1dXXh6+tLcHAwGo2GxMREDhw4QG1tLTExMf3uQ61WU1xcTGtrq5QJArBmzRrWr1+P0WjklVde4d5770Wj0RAaGkp4eDglJSXMnj17SFkrwvTmdDoxmUx0dnbS1dVFZ2cnTU1N/Pe//+XHH3/kl19+GXAS4+zZs1m1ahWrVq0iKSlp2I9rMBgoLi7G6XQya9YswsLCRv1cYmJi2L17NwkJCaxdu5ZnnnmG5uZmPvjgA/bs2UNWVtaoH0MQhKNHd3c3MTExWK3WYbea6FuqFxcXJ53v6h0VFxcnDgpNAj09PRw8eBCDwSD1CAsJCUGlUpGYmEhgYKDYVpogIhglCILHiDK9kRHZURPDZrNRX18vnQ4PDx91zzOHw0FXV5cUeDIYDFitVgIDAwkJCSEuLo6QkJB+fydpaWns27cPrVbb7zKZTCY1Mu8bjFKr1Vx99dU89dRTmEwmnn76af76178CkJycTE5ODk1NTURERIzqOQlTi2vKT9/AU1dXF06nE29vb/Ly8vjqq6/49ttv3XqRuaSkpEgBqJFOA7JYLJSXl0s7aLGxsR4raQgODsbf35/Gxkaio6NZt24da9euBXqzo9577z2PPI4gCNOfzWbDbDbj5eWFTCYb0TaAK1uzbzBKZEdNHk6nk/379+Pj40NcXBzBwcGTaljN0U4EowRB8BhRpjcyIjtqYphMJqkXU3h4+ICj54/EarW6TVfp7OxELpcTEhJCcHAw0dHRBAUFHbGpc1hYGBqNhpKSEmbNmtXv8qioKLZv305PT4/bRtStt97Ks88+i81m45lnnmHt2rUEBgbi7e1NamoqxcXFqFQq0VhzmnI4HAMGngCCgoIIDAxEo9FQUVHBhx9+yMcffzzgwISYmBjOP/98Vq1axfz580d8hNjpdFJfX095eTmhoaEsXLhwTDb6Y2JiqKysRKfT8cc//pH169ej1+t5//33pemSgiAIR2I0GlEoFDidTnx8fEb02afRaCguLu73/dx3sp4IfkycgwcPYrPZyM7OPuK2mDD+RDBKEOjdgBbpmaPjcDhGlOIs9BLZUeOvra2N1tZWoHey4ZECqa5Sp74ld64pPMHBwURGRpKeno6fn9+IPk9c2UwtLS1uGVAAvr6+qFQq6uvrSUxMlM6Pi4vjwgsvZOPGjbS2tvLKK69w8803A70byA0NDZSWlpKZmTns9YyWzWaju7ub7u5uqQRsoNdlsNdqOOcfep5SqSQ0NHRafq7bbDaamppobGyko6MDuVwuBZ6io6MJDAxEqVSyZcsWXnjhBd577z3pfd6XVqvld7/7HatWreKYY44ZdeZSZ2cnxcXFWK1WMjMz+72HPUmr1VJWVkZbWxsqlYo777yTW2+9FejNjnr33XfH7LEFQZg+RjpJry+FQkFoaCh6vZ7Y2Fjp/L6T9UR21MQwGo1UVlYyZ84cEYiapEQwSjjqdXV1sWfPHpYuXTotd1zGi8ViGXGKs/C/7KiqqqoBM2MEzysvL5d+j4qK6nfk0m63S43GXdlPDodDanKZnJxMcHCwx7KOfHx8SEpKori4mEWLFvXbcNLpdBQVFREfH+8WOLj99tvZuHEjAI8//jjXX3+9dIQ3LS2NnJwcWltbUalUHlnnoex2O0ajUQo8uX7MZjM+Pj4EBARIjUCdTueA9zHQ+cO57qHnG41GACIiIoiIiCAgIGBKf747nU46Ojqor6+nqamJgIAAoqKiyMjIwNfXF5lMhtPpZPv27fzrX//inXfe6TeBESAkJISVK1eyatUqTjjhBI80aLVarVRUVNDQ0CCV5Hlio9/1nOvq6gDIyMiQ/g/lcjk6nY6amhpUKhV/+MMf+Nvf/kZjYyPvvfce+/btE5+jgiAckWuS3mjbTGi1WhoaGtyCUSCyoyaS0+mksLAQnU437MmtwvgRwSjhqFdfX4/FYsFkMuHv7z/Ry5myXDueU3mHb6KJ7Kjx1TcYFRkZiVKppLu7m/r6egwGA11dXSgUCkJCQggNDSU+Pp7AwMAxHecbFRVFY2MjlZWVJCcnu12mUqmQyWS0tLSg1Wql82fOnMmZZ57Jp59+ysGDB9m0aROXXnop0Jsh5ApwLVy4cFRBAlcvokODTiaTCW9vbwICAggICECtVhMXF0dAQMCElQc6nU7a2tpobGxk586d+Pn5ERERQXh4+JTaIbBYLDQ0NNDQ0IDFYiEiIoJ58+ZJgyKcTid79+5l06ZNbNq0yW06pIu/vz9nnXUWq1at4tRTT/VYKbXT6aShoYHy8nKCgoJYuHChRxr12mw2Ghsbqaurw2w2ExERQXNzMw0NDURFRUnX0+l0VFdXS5kN69atk7Kj/vKXv4jeUYIgHJHRaCQsLIyenp5RfTa6yuwPLdXz9/dHo9GI7KgJUFNTg9VqdcsmFyYfEYwSjmoOh4PGxka8vLzo6uoSwahRcAWjhJET2VHjq6KiQvo9IiICpVJJWVkZ0NuTxtVofDwDrK5spry8PCIiItymU8pkMnQ6HfX19W7BKIB169bx6aefArB+/XpWr14tBc10Ot2gAa6BuCYAHhp06u7uRiaTSUGnkJAQdDodAQEBky4QLZPJUKlUqFQq0tLSaG5uprGxkYqKCml0s1arnZSjm51OJ62trdTX19PS0kJoaCgJCQloNBrp/7S1tZVnn32Wt99+m8LCwn734ePjw4oVK1i1ahVnnnkmAQEBHl1jV1eXtOOVlpaGRqMZ9f9/V1cXdXV1NDY24u/vT0xMDOHh4Xh5eaFSqThw4AAqlUraYfTx8UGr1VJbW0tqairXXnutlB31wQcfiN5RgiAckWuSnsFgIDg4eMT345rO1tzc3G8qbkJCgsiOGmdGo5GKigqysrJEed4kN/m2wgRhHOn1eukLpKuri/Dw8Ile0pQlJul5hsiOGj8HDx6UftdoNPj6+tLT00NycvKY9rs5koCAAGJiYiguLmbu3LluO/mRkZFUVlZiMpncslCOOeYYjj32WLZs2UJBQQGfffYZZ511FtAbmElPTycvL4/w8HDpfeV0OrFarQMGnRwOB35+flLgSaPREBgYKJWETSVeXl5SuZ7FYqGxsZHa2lpKSkpQq9VERESgUqnGNONtKFwN9evr65HJZERGRpKcnOz2/+x0Onnrrbe47bbb0Ov1brf38vLixBNPZNWqVZxzzjmEhoZ6fI02m43Kykrq6uqIiYkZ9Ya+3W5Hr9dTV1dHV1cXERERZGdn9/vsU6vVqNVqiouLmTVrlvQejI6OZvfu3SQmJuLv78/tt9/ObbfdhtPp5M9//jOffPLJqJ6vIAjTl91up6enZ9Q9o1y0Wi1NTU39glEiO2p8OZ1OioqKiIqKGpPvwaFwbUuJ/cojG3UwqrOzk71799La2opOp2PevHmeWJcgjIuGhgYiIyORy+W0tbVN9HKmNJEZ5RkiO2p82Gw2qRcN9JbA+fj49Euxnyjx8fE0NTVRX1+PTqeTzlcqlWg0Gurr60lKSnK7zbp169iyZQsAjzzyCGeeeaa00x4QEEBsbCyFhYWEhoZKG0pWqxVfX18p6BQdHU1AQAD+/v4THpwZCz4+PsTGxhIbG0t3dzeNjY2UlJTgcDgIDw8nIiKCoKCgcQu4ORwO9Hq9VBqqVqtJT0+XSjL7Ki4u5rrrruP77793O3/58uWsWrWK8847b8w2fHt6eqitraW+vp7AwEDmz58/qmwro9FIXV0dDQ0N0mdeVlbWYTPVUlJS2LFjB01NTURERAAQHBxMQEAADQ0NxMTESL2jmpqa+Oyzz9i5c6fYLhUEYUBGoxFvb298fHw8FowqLS0d8L7i4+PJy8sT2VHjoLa2FrPZTFZW1rg+bk9PjzRcxGQySa0BhMMbcTCqq6uLhx9+mI8//liakvPb3/5W+tJ/9913eeqpp3j22WeZM2eOZ1YrCB5kMplob28nMzMTo9HoliUhDJ/ZbPZ4KcjRKjY2lu3bt4vsqDFkMploamqSTmu1Wry8vHA4HJNiQ9HLy4vU1FQOHDiARqNxC/TqdDoKCgpISEhwCxiddtppzJo1i3379vHLL7+wZcsWli9fLl0eHx+P1WpFJpNJTb0DAgKO2hT2gIAAkpKSSExMxGAw0NjYyJ49e1AoFNJG5FiVbnd1dVFfX09jYyM+Pj5ERUUxY8aMAQP6ZrOZRx55hIceegiLxSKdf9555/Hoo4+SkJAwJmt0NRCvqamhubkZtVrN7NmzCQ4OHlGwzuFw0NLSQl1dHQaDAY1Gw6xZswgJCRnS/SkUClJTUykqKiIsLEx6raKjo6msrCQ6OlrKjvrTn/6E0+nkzjvv5Msvv5xy2XyCIIw9V7858Ex2v4+PD8HBwTQ3NxMdHe12mSvDuLq6mrS0tFE9jjA4k8lERUUFs2fPHpdtG6vVil6vl6bbhoWFERsbi0ajmZRtACajER327Onp4ZJLLuH9998nJCSE4447rt90m1/96le0tLTw7bffemShguBpDQ0NqNVqadqT2WzGarVO9LKmLFGm5zlKpVLKjhLGhslkorGxEejNigoMDMRms6FQKCZNcEatVhMWFib1sXIJDQ3F29ub5uZmt/Plcjm33367dPpvf/tbv8vT0tJISUkhKiqK4ODgSfNcJ5JMJiM0NJT09HSWLVtGUlISXV1d7Nixg507d1JbW+uR7wabzUZtbS15eXns3LkTu93O7NmzWbhwIbGxsQMGon744Qdmz57NX/7yFykQFR8fz+bNm3n33XfHJBDl6qW4c+dO9uzZg1KpZNGiRcMKHPXV09NDRUUF27Zto6ysjLCwMJYsWcKMGTMIDQ0d1v1ptVpUKhXFxcXSdqdWq8Vut9Pa2grAH/7wB+lo9DfffMN//vOfYa1XEISjQ99Jek6n0yPZ/Vqttl8JtUt8fDwNDQ309PSM+nGE/lzleREREWNanme322lsbGTv3r1s3bqVhoYGwsPDWbp0KVlZWURGRopA1DCM6JXasGEDBQUFnH766dx///34+/uTkZHhdh2tVktycjLbt2/3yEIFwZNcU4BcRycUCoU0SWui6ounOlGm51kiO2psdXZ2ShuMMTExUr+oyZAV1VdKSgo5OTm0tbURFhYG9AZPoqKiqKur65cCvmrVKu6++26qq6vZvHnztGvibLVaaW1tpaWlRfrX9dP3dEhICJdddhnLly8fVrBDLpej1WrRarVuRzxLS0tRqVRERESgVquHHMRzOp0YDAbq6+vR6/UEBgYSFRVFeHj4YTdW9Xo9f/rTn9i4caN0nre3N7feeiv33nvvmGShWq1W6uvrqa2tRSaTERMTM+KNalcT9rq6OlpbW1GpVIOWHw6Xq1xPr9cTHh6OXC5Hp9NRW1uLWq0mICCAtWvXsnbtWpxOJw888ACLFy8WA0qEaclms2EymcR2wggYjUZCQkIwm80oFAqPlKZrtVrKysqwWCz9tolFdtTYqquro6enZ0y2eRwOB21tbTQ1NdHc3IxSqSQiIoKUlBSPTJE9mo0oGPX555+j0Wh46KGHDpsJkZCQwJ49e0a8OEEYK62trTidTlQqFY888ggbNmzgD3/4A7GxsSIYNQKu6VsiM8pz+mZHid5RnldZWSmVmOt0OpRK5aQMRimVShITEykuLmbhwoXSxnJkZCQVFRVuZQbQG1i/7bbbuOmmm4DeyXpvvvnmhKz9cFxBmkMDSgMFmfqe39HRMeTH2LBhA/PmzeOWW27h97///bCD5QqFAp1Oh06nk8o6KyoqKCoqQqvVSkdfBwqumM1mGhsbqa+vx2q1EhkZOaQ+Sw6Hgw0bNnD77bdLmT4AS5cu5cUXXxyTjWyj0UhNTQ0NDQ0EBweTmpqKWq0eUdDIYrHQ0NBAXV0dDoeDqKgoUlNTPfp35ePjQ2pqKiUlJYSGhko9p6qrq6W/h+uuu47169ej1+v54Ycf+OKLL1i5cqUo1xOmnYaGBiorK1m6dKnIdB2m7u5udDqdR7dflUolQUFBNDc3u/V7dHH1joqLi5t02xtTmclkory8nFmzZnns78BVqt7Y2Iher0culxMeHs7cuXMJCAgQ3yceMqJg1MGDB1m2bNkR/3B9fX1FU2hhUnI1Li8pKeGuu+7C6XTy7LPPsmLFiole2pRkt9txOBwiGOVhruyorq4uAgMDJ3o500p5ebn0u06nm7SZUdDbE6exsZGqqioSExOB/421r6urIyUlxe36V155Jffddx8tLS1s2rSJ+++/f8z6Ch2O2Wzm+++/Z/PmzVRXV7sFmVpbW6Vg4FjauXMnq1ev5vbbb+ePf/wj1157LRqNZtj34+fnR3x8PHFxcXR2dtLY2EhBQYG0cerqwdXS0kJ9fT2tra2EhoaSmJiIRqMZ0hH3goIC/vCHP/DTTz9J54WGhvLII49w9dVXe7ShvNPppK2tjZqaGtrb26UN7JFkV7gCi3V1dej1ekJDQ6WJlGPVBN81taq0tFTqtaXVaqmtrSU1NVXKjrr99ttxOp289NJLLFiwgPj4+DFZjyBMlPb2dmw2G42NjQMGP4SBORwOTCYT/v7+UqaLp7hK9Qb6/xDZUZ7XtzzPlUE+Gq7hJk1NTdhsNrRaLTNnzhxRmbpwZCMKRsnlcmw22xGv19jYKNKihUnHYrHQ3NzMokWLuOWWW6S+E2VlZTQ0NPQrORWOzGw2I5fLxVE5D3NlR1VWVorsKA/r248rPDwcpVIpNVWebGQyGWlpaezatYuIiAjpe1Wn07Fv3z4SExPd/vYCAgK44YYb+Mtf/oLdbuexxx7j6aefHpe1Go1GvvzySz744AM+/fTTYWUyDUYulxMWFoZarZZ+VCqV2+m+56lUKn766SeeeOIJ8vLyAKivr+fuu+/mgQceYPXq1dx8883MmDFj2GuRyWQEBwcTHBxMcnIybW1tUn8lmUyGt7f3sLOBTCYTDz74IOvXr3frTXXhhRfy+OOPS5PjPMFut9PU1ERNTQ0WiwWdTkdGRsaISqxtNpuUBWWxWIiMjGThwoXjst0nk8lITU1lx44dNDc3o9FoiImJIT8/n8TERLy9vbn++utZv349zc3NfPPNN/z444+cc845IrAvTBuuQHBUVBS1tbVERUWJneUhMhqNeHl5oVQqB8yMMpvNACMKUmm1WsrLy7FarSgUin6Xi+woz6qvr8dkMo1qO/nQSXgajYaUlBRUKtW0nCw8mYwoGBUXF0dhYSE2m23QXgLd3d0UFRWRnJw8qgUKgqc1NjYSEhJCZ2cnb7zxhttleXl5HH/88eLLfJhcX+TidfM8kR3leTabjbq6Oum0VqvF19eXxsbGSbthGBQURFRUFMXFxcyZMweZTEZISAg+Pj7o9XoiIyPdrr9mzRrWr1+P0Wjk1Vdf5d5770Wr1Y7J2jo6Ovjss8/44IMP+OKLLzAajYNeNzAwcNAg0mCnQ0JChr0xeNFFF3HhhReyZcsWnnzyST766CMcDgc9PT28/PLLvPzyy5x88snccsstnHLKKSP67JLL5dIabTYbRqORoKCgYd3X119/zXXXXeeWqZecnMzzzz/Pb37zm2GvaTBms5m6ujrq6urw8fEhJiaGiIiIEW1kd3Z2UldXR2NjI4GBgcTFxUnTKMeTUqkkJSWF4uJiQkJCCAoKIiAggIaGBmJiYqTsqHXr1uF0Onn//ffJyMhg/vz5YudCmBaMRiN2u13q0dve3u6RzJCjgaukVyaTYbFY3ILobW1tZGVl0dbWxo8//ihNih8qX19fAgMDaW5uJioqqt/lAQEBqNVqkR3lAT09PZSVlTFz5sxh9zcUk/AmhxG90ieccALPP/88zz//PDfccMOA13n++efp7Owc8caUxWLhqaee4uOPP6ajo4P09HRuvvlmjjnmmCPeduvWrTz//PMUFxdjt9tJSEjg4osv5re//e2I1iJMH06nk/r6euLj43n22Wf7TbQoLCzEaDSOSXPY6UxM0hs7IjvK81z9f1w0Gg0+Pj6TtkzPJTExkZycHBobG4mMjEQmk6HT6aivr+8XjFKr1Vx99dU89dRTmEwmnn76ae677z6PraWlpYWPP/6Y999/n2+//Vaa9NZXSEgIZ555Jueeey6LFy+WppeOF5lMxvLly1m+fDkVFRU8/fTTvPLKK3R2dgK9gaCvv/6azMxMbrrpJlavXj3irB5vb2+Cg4OHfP2GhgZuvfVWNm3aJJ2nUChYt24dd911l8caonZ2dlJTU4NerycsLGxEE+xcfTNcJZY9PT1EREQwb968CQ+QR0RE0NTURFlZGRkZGcTExFBeXk50dDQymYzrr7+eRx99lObmZj799FNWr16NSqUSB0qFaaG9vZ2QkBApI7O2tlYEo4bINUkPeoP1fV+3r776ipqaGgAeeugh3nvvvWHfv6tUb6BgFPT2VRbZUaPjKs8LDw9HpVIN6TZ2u53m5maamppobW0lKCiIiIgIZs6cKYYwTZARHRq67LLLiIiI4LnnnuP666/n008/BXo3Tr/++mtuueUWXn31VaKjo1m1atWIFnbHHXfw+uuvc+aZZ/LnP/8ZLy8vrrnmGnJzcw97u++++44rrrgCq9XKDTfcwC233IKvry/r1q3j9ddfH9FahOmjo6NDOgLy7LPP9ru8qKiI7u7uCVjZ1CYm6Y2t2NhYWltb6erqmuilTAsmk8lt9LJKpcLLy2vS9z3z9vYmNTWVsrIyqZwrIiKCzs7OAT+3br31Vuno3jPPPDPq9099fT3PPfccJ554IhEREVx55ZV8/vnnboEojUbDVVddxRdffEFTUxNvvvkmv/3tb4mKiprQz4jExEQef/xxampqeOKJJ6TeWwAHDhyQBljcdddd1NbWjtk6HA4HL7zwAhkZGW6BqOOOO47du3dz//33jzoQ5XQ60ev17Nq1i/z8fLy9vVmwYAGzZ88mLCxsSIEom82GXq+nsLCQrVu3snfvXsxmM/Hx8SxdupS0tLQJD0RBb8AxPT0dvV5PS0sLGo0Gh8MhNX8PDAzkT3/6E9D72r/33nvU1tZiMBgmctmC4BGuYBT0lm23tLRgMpkmeFVTQ9/hH4eW6VVUVEi/f/LJJ27bC0Ol1Wppa2tzK73uq292lDAyDQ0NGI3GIR1c6Onp4cCBA2zdupWqqiqCg4NZtGgR8+bNIzo6WuzDTKARBaOCg4N55ZVXiImJ4fvvv+f2229HJpPx008/cdNNN/HFF18QFRXFCy+8MKKjjHv27GHz5s3ceuutrFu3jvPPP5833ngDnU7H3//+98Pe9p///CdarZaNGzdy8cUXc9FFF/H6668TFxfHBx98MJKnK0wjDQ0NhIeH8+abb9LS0gL09uVwHREpKCiQjpoLQycyo8aWUqkkKiqKysrKiV7KtGAymWhoaACQSnscDgc+Pj6Tvu+ZRqMhKChIKutSKBSEh4e7lR26xMXFcdFFFwG9ZQcvv/zysB+vsrKSxx9/nGOOOYbo6Gj++Mc/8v3337s1H4+OjuaGG27ghx9+oL6+npdffplTTz11Um7cBQcHc/PNN1NSUsIHH3zAcccdJ13W2trKww8/LGVTH+ng13Dt3buXY445huuuu04KhqhUKl577TX+85//kJmZOar7t9lsHDx4kO3bt1NaWoparWbJkiWkpqYOaVvMZDJRU1PD7t27+fnnn6moqEChUDBz5kyOOeYYMjMzCQ8Pn3TlC33L9RwOB9HR0VJWA8Af//hH1Go1AP/+979xOp0cOHBgXBroC8JYcfWLck2A9vX1RaPRDPhdIPTnyowaaBp0320tq9U6oom0fn5+0lCLwSQkJNDQ0NCvSkM4MrPZTGlpKWlpaUP6TnL18Jo7dy4LFy4kPj7eYxnIwuiMuGg+JSWFzz77jP/7v//j+OOPJzk5mcTERJYtW8Ydd9zB5s2b+034Gaovv/wSLy8vzj//fOk8pVLJeeedx65du6ivrx/0tl1dXVIfDRdvb2/CwsJEGuRRzmaz0dTURHh4OI8//rh0/tq1a1m0aBHQm91XXFw8UUucsjw5FlcYWFxcnMiO8pCuri7peyQ2NhalUonFYpkS3xGuZuZNTU1SQCMqKoqGhoYBd65vv/126ffHH398wHK6QxUWFvLggw8yf/58EhMTue2229i6das07AEgKSmJtWvX8ssvv1BdXc0//vEPfvWrX026QMVgvLy8OOecc/jvf/9Lbm4uq1evlhrN2mw2/vnPf7Jw4UKWL1/O+++/P6rARXd3N7fffjtz585l27Zt0vmXXnophYWFXH755aPqt2cymSgtLeWXX35Br9eTlJTEkiVLiIuLG7B5rotrZ7a8vJycnBxycnJoaWlBrVazaNEiFi1aRHJy8rDL+iZCZGQk/v7+lJWVERUVhcFgkLIFD82OeuWVV1AqlZSVlU3kkgVhVEwmEzabza08OCYmhvr6ehFoPYK+k/RsNlu/rOi+mVEAr776qtv331C5SvUGI7KjRsZVnqfVaqUDDYdjNpvR6/WkpKQQGBg46b/Pjjaj6uCoVCq54IILeOGFF/jss8/4/PPPefXVV7nssstGFW08cOAACQkJ/VLAs7KypMsHs2jRIkpKSnjyySepqqqiurqaZ599ln379nHVVVeNeE3C1KfX6/Hz8+Pbb7+VNkJPOukksrOzWbx4sXQ9Tx8NPxqIMr2xJ7KjPKempkZKnY+OjsbX13fS94vqy9fXl/j4eCkTJDg4GF9fX7c+WC4zZszgrLPOAnqf99tvv93vOk6nk/z8fO655x5mzpxJZmYmd999Nzt37ux3X/fccw+7du2itLSU9evXs2TJkinfDHr+/Pls3LiRyspK7r77breN2y1btnDeeeeRnJzME088Mezyrs2bNzNz5kweffRRaQcxPT2dH374gddff31UTeUNBgP79u0jJycHi8XCnDlzmDdvHuHh4YNubLsOyrjKFfbt24fZbCYxMZFjjjmGOXPmEBMTM+WOGLvK9Zqamuju7iY8PNyt3LJvdtTbb7+Nl5cXjY2NUjmfIEw17e3tBAcHu33+ur4LXJm/wsBMJhMymQxfX1/MZjPe3t5uWdGHbmcVFBSQk5Mz7MfRarW0trYedgK9KzvKNb1POLLGxka6urqG3Puvrq4OlUo1LpNeheGblFuQer1+wA0013kDbXC7XH/99axYsYIXXniBk08+md/85je8/PLL/OMf/+Dkk08+7ONaLBa6uroG/DncdCBhanA1+X300Uel89auXQvgFozau3fvoDXewsBEmd74ENlRntF3QzMqKgqlUjmlglHQewQcegNMrkbmg5VnrFu3Tvp9/fr1OBwOHA4H27ZtY+3ataSkpDB37lweeOABCgoK3G47b948HnzwQQ4cOMD+/fu57777yM7OnpZHFnU6Hffffz8HDx7kpZdeYsaMGdJlVVVV3HrrrcTGxnLzzTcfMaumrq6O3/3ud5xxxhlUVVUBvQHlv/71r+zevZtf/epXI16n0+mkoqKCPXv24O/vz+LFi5kxY8agDdRNJhMHDx4kPz+fn3/+maqqKpRKJbNmzWLZsmVkZmai1WqnTFbbYHx9fUlKSqKoqIjIyEgaGhqkncCgoCBuu+02oDcr4rHHHiMlJYXCwkLxfS9MSX37RbnIZDJiYmKora0dUSbP0aLvJL1DD6Y6HA7pM7uvV199ddiP4+/vj7+//2FL9UR21PD0Lc87XOavi8PhoK6uTtpmEiafSRmM6unpGTDLwrWze7jaWh8fHxISEjjllFN4/PHHefTRR5k1axZr164lPz//sI/74osvMn/+/AF/Lr744lE9J2FidXd309XVRUlJiXR0IysrS5r2uHDhQum6RUVFYmd/GJxOpwhGjRNXdtRAG0rC0NhsNrd+MpGRkVMuMwpALpeTlpZGVVUVJpOJiIgIjEbjgD3vli1bxvLly4HezOJzzz2XuLg4li5dyt///nep/1Tf6z/22GNUVFSQl5fHXXfdRUZGxrg8r8nAz8+Pq6++mn379vHVV1+xYsUK6bLOzk6eeuopUlNTOeecc/jxxx/ddvrsdjtPP/00GRkZbhOYTjjhBPbs2cO99947qs9Ki8XCnj170Ov1zJs3j6SkpH7vW6fTSXt7O2VlZVL5XWtrK1qtlsWLF7Nw4UKSkpIICQmZdkFFnU6HUqlEr9cTFBTk1tZhzZo10sSlt956i87OToKCgigpKZmo5QrCiBzaL6qv8PBwrFYrbW1t47+wKeLQSXp9P5Pr6+ulcvYTTjhBqtL517/+NaIBR0cq1QOIj4+nvr5eZEcdgdPppLi4GLVajUajGdJtGhsb8fHxGfBvRZgcRnQY7MQTTxzydWUyGd9+++2w7t/X13fAvhauP9LD7TDcd9997N69mw8//FBKXV2xYgVnnHEGDz74IO++++6gt7322mu5/PLLB7zswIEDIiA1hTU0NKDRaLjjjjuk8/70pz9JG+JarZakpCTKy8spKiqivb1djMcdIovFgtPpFGV64yQuLo7t27fT1dVFYGCgtCN86L8DnTeS6/S9rre395QK2Azk0El64eHhKJVKWlpaptxzCwkJITw8nJKSEmbPni01Mk9PT+933XXr1vHTTz8B8NFHH7ld5uXlxfHHH8+5557Lb3/7W3Q63Xgsf9KTyWScfPLJnHzyyRw4cICnnnqKjRs3YjKZcDqdfPTRR3z00UfMnTuXW265hbS0NNasWeNW6q3Vann88ce56KKLRh34MRgM7N+/n5CQEGbOnOmWyWS1WmltbaWlpYXW1lZkMhlqtZrExETCwsKmfNbTUMlkMjIyMsjNzUWn01FbW0tMTAwymUzKjvrzn/+Mw+HgoYce4sUXX2THjh1SP0lBmAp6enqwWCwDZkPK5XLpvT/UcfdHG6PRKAWZDte8fNasWSQlJfHKK6/Q2dnJu+++y2WXXTasx9JqtVRXV2Oz2Qb9HA4MDJSyo1JTU4f9fI4WTU1NdHZ2uiUQHI7T6aSmpobo6Ohpd+BlOhnR1slQxh7LZDKcTueI/vO1Wi2NjY39znftQAy2wWCxWHj//fe56qqr3GqoFQoFy5cv55///CcWi2XQnWYfH59BLxN1plOXw+GgoaEBb29vPv30U6C3xGXVqlVu11u8eDHl5eWYzWZ27tzpNvpbGJzFYkGhUEz5vjFThVKpRKfTeby3meuzerB/ofdvKSEhgdjY2Cn7xW4ymWhubpZOazSaKVmm55KUlEROTg7Nzc3odDry8/NJTk7ut9F72mmnkZ2dLWUI+/j48Jvf/IaVK1dy1llnDfko49EqMzOTF154gQcffJCXX36ZZ555RtoW2rVrF5dcckm/21x99dU88sgjo94hdG1QV1RUkJycjE6nQyaTSe/llpYWDAaDVO6RlZVFUFDQlP0bHS0/Pz8SEhKora3FbrfT0tIivb/XrFnDY489RmtrK2+99RZ33303aWlplJSUEBISIjJ8hSnB1S9qsOmvOp2Obdu2YTKZplz/t/Hg6isH/YNRfZuXJyQksHTpUl555RUAqS/ycAQEBODr60tra+thA97x8fHs3LmTuLg48Tk0ALPZTElJCRkZGUMqz4PevxOz2UxERMQYr04YjREFo7777rsBz3fVZf7nP//hzTff5Nprr2XlypXDvv+MjAy3I/8uu3fvBhh0/HF7ezs2m23AKRKuaQkOh2PY6xGmtpaWFry8vNzGmt988839PswWL17Mpk2bANixYwfnnnvuuK5zqhKT9MZfcnKyVP9+uODRUAJMw9lh7ezspKCggLa2NjIzM6dkNpzRaHTrOxgWFoZcLu83TWeqUCgUJCcnU1JSwqJFi/D396epqalfdpNMJuPTTz/ltddeIyUlhdNPP71fvxHhyNRqNXfccQe33XYb7777Lk888US/wPDMmTN54YUXOPbYY0f9eDabjcLCQjo7O8nOziY4OBij0UhVVRV6vZ7Q0FC0Wi0ZGRlTMpg6VmJiYtDr9fT09FBbWysFo4KDg7n11lu5++67sdvtPPjgg2zYsIHm5maKi4uZNWvWURvEE6YOg8Fw2M9vpVKJVqultrZ2xJPNpyun04nRaJTK9A7NMOubGZWQkCD15CsoKGDLli0UFRUNmH18OK5SvcMFo1zZUVVVVaSmporPoT6cTiclJSWoVKphHTirra1Fp9MNGrQVJocRpTJER0cP+BMbG8vixYtZt24djz76KM8//zwHDx4c9v2feuqp2O123nnnHek8i8XCBx98wJw5c4iKigJ6G4T2bSKqVqsJDg7mm2++cSvz6+7u5ocffhiwt4Iw/dXX1+Pl5cWbb74J9G6MXn311f2u17eJ+e7du0XzxyESk/TGn2sKjK+vL0qlEqVSKWV2KhQK6cfb21uaEuPl5YVcLkculyOTyaSf4QgKCmL+/PkoFApyc3On5CQqk8kk9ZHx9fUlKCgI6M0UmqobLBEREfj7+1NRUSE1Mh/o8ysmJoZ7772XCy+8UASiRkmhUHDhhReSk5PjNnHvoYceYufOnR4JRHV1dZGXl4fdbmfBggX4+PhQWFhIbm4ucrmcRYsWkZWVJU2EFP7HVa5nsVhobGx06/Vyww03SGX4b775JmVlZaSmptLZ2SmmkAlTQnt7+xF74MTExFBfX3/YSW5Ho76T9ODwmVGJiYnIZDKuuOIK6bzXXntt2I+p1WppaWkZMFmir4SEBPR6Pbm5udTX14sEiv+vqakJg8EwrBJGk8lES0vLuLUdcDqd2O12zGYz3d3ddHR0iP7DQzRmTQRWrFjBc889x0svvcSSJUuGdds5c+Zw6qmn8vjjj9PS0kJ8fDwffvghtbW1PPjgg9L11q1bR05ODkVFRUBv34srrriCJ598kvPPP5+zzz4bh8PBe++9R0NDg9sUNeHoYDabaWtr44svvpAClNdee+2AdfbZ2dkoFAqsVisHDhxwO3IiDE40Lz+6eHt7k5mZSUNDA/v37yc6OpqEhIQpU6ZpNBql8qrY2Fi8vLyw2WxTemdeJpORlpZGbm4uWVlZmEwmOjs7B52uJniOTCbjmGOO4ZhjjvHo/TY0NFBSUkJsbCyRkZFUVFTQ0NCAVqtl4cKFovRmCPz9/UlKSmL37t0cPHhQasLvyo665557sNvtPPDAA2zYsIGMjAz2799PaGioeH2FSaunpwez2XzEz/egoCD8/f1pbGwkOjp6nFY3+fWdpAeH7xmVkJAAwOrVq7njjjuw2Wy88cYbPPDAA0MuFYPeUj2lUikNkjjc9ZYsWUJjYyMHDx6kvLyc6OhodDrdUXvQ12KxDGt6nosrI3Yo23ZOpxOHw4Hdbsdms7n9HHre4a7jOggol8vx9vYmICCAOXPmjPi5Hy3GtKNlUlISW7duHdFt169fz5NPPsknn3yCwWAgPT2dF1544YhNy6677jpiYmLYuHEjzz77LBaLhfT0dP7xj39wyimnjGgtwtTV0NCAUqnkpZdeAnp3pG+66aYBr+vr68ucOXPIzc2lurqauro60UhwCMxm85TekReGTyaTERUVRXBwMAUFBbS3tzNjxowp8T5oaGjAZDIBvUeOfX19p8V72N/fn7i4OEpLS6VG5kdLMMpms2E2m+np6ZF+vL290el0w9p4nQzsdjulpaU0NzeTlpZGZ2cnOTk5qNVq5s+fLw6QDFNsbCw1NTUUFhaSnJwsvR9uuOEGHn/8cdra2njzzTe5++67SU5OJiIigqKiIubMmSPKZIRJqb29ncDAwCMOJZDJZMTExFBZWSn1mRN6q2VcfYBdQYSBglGhoaFS9ll4eDhnnXUWH3zwAY2NjXz++eecffbZQ35MmUwmleodLhgFvYkVOp2OqKgo2traOHjwINXV1YSHhxMTE+PWvuZoUFJSIpWjD5XNZqO+vp6srCygt42QXq+nra1t0KDSoYEkV1WB63fXT9+qg4Gu46pCEIZuTINRjY2NWK3WEd1WqVSybt061q1bN+h1XGVXhzrzzDM588wzR/S4wvThdDqpr6/n+++/l0bcXnjhhYc9QrR48WJyc3NxOp1s27ZNBKOGYChH6ITpKSAggHnz5lFWVkZubi7p6enD2mAYbzabjZqaGum0awz8VG1efqi4uDgaGxuRy+XU19e77XxPZTabTQoyHRp06unpwWq14uXlJZWu+vr60tbWRnV1NTqdjtjY2ClxVNlkMrF//36cTidqtZri4mJCQ0OZO3euVE4qDI9MJiMrK4vNmzdTXl4u9XoJCQnhlltu4d5775V6R7322mskJyezY8cOampqiI2NneDVC0J/BoNhyGPqtVotZWVltLW1icl6/1/fqgez2SwFH6A3OFVdXQ38LyvK5corr+SDDz4AehuZDycYBb3/F/n5+djt9iG1BJDJZKhUKlQqFd3d3dTU1LBz505CQkKIiYlBpVJN+wBjU1MT7e3tQ56e59LQ0IC/vz9+fn5UV1dTU1ODl5cX4eHhUiB3oCCSt7e3CCRNgDELRn388cfk5+czc+bMsXoIQTgs1xSFvo3L//SnPx32NosXL+bZZ58FICcnh9WrV4/pGqcDUaZ3dPPy8iItLY2wsDCKiopoa2sjJSVlUn6hHzpJLzIyEl9fX3p6eqbFNDm5XE5aWhr79u1DqVTS2NgoNbqfzPoGmwb6sdls/YJNwcHBhIeHo1Qq8fLywuFwYLVasVgsWCwW/P390el0NDY2sm3bNqKiooiNjZ20Qcfm5mYKCgqk5+Lj48OcOXNEoN8DAgMDSU9PZ/fu3aSkpEg7gjfeeCOPP/447e3tbNy4kbvvvpukpCQyMzPZvXs3ra2tqNXqIZd6CMJ4aG9vH3JTcrlcjk6no6amRgSj/r/u7m7p+95VoucK6tTW1ko9tg6dqH3KKacQHR1NbW0tn3/+OfX19VIP46EIDAxEoVDQ1tY27O2NgIAA0tPTSUxMpK6ujqKiIry9vYmJiSEiImLK9rs8HIvFQklJCampqcM6mOR0OqmsrESpVLJ9+3YCAwNJS0tDrVZP++DdVDWiYNSdd9456GXd3d1UVFRQWlqKTCYbcNyxIIyH+vp6du/eLaXcnnrqqcyePfuwt+nbxNw1Al04PDFNT4Deo35BQUEUFBSQl5fHzJkzpVT4ycJoNNLS0iKdjoiIQKlUYjAYps3OZlhYGBqNhtbWVurq6oiOjp7wDTC73Y7JZBpysEmpVBIQEEBwcLDUcL9vsMlkMmEwGKTAE/SWYLua+Pv4+GC1Wmlvb8ff3x+NRoPBYKCuro6IiAji4uImzXvT6XRSWlpKYWEhPj4+hIeHk5iYOOTMB2FoZs+eTXFxMfv27ZN6eLiyo/7v//5Pyo569dVXCQkJYeHChbS0tNDc3ExZWRn+/v6o1WppUM5E/02NhsPhwGAw0N7eTnBwMGq1eqKXJAyR2WzGZDINawCFTqejurpa6pV0NDt0kt7hmpcfmhnl5eXFZZddxoMPPojdbueNN97gjjvuGPJj9y3VG+nBLx8fHxISEoiLi6OpqYmamhrKy8vR6XRER0dPq23x0tJSQkJChpVtbzAYOHDgAJWVlWRnZ5ORkSGyiqeAEQWjPvzwwyNeJzAwkBtuuGHYaYyC4AlWqxW9Xs/rr78unTdYVpTFYqG2tpaEhARSUlIIDQ2lvb2d/fv3Y7FYpkR5x0Rx1VyL10iA3r5r2dnZVFZWkpeXR2pqKhEREZNmx81kMtHU1CSd1mg006pMzyU5ORm9Xk93d/ewSjo8rbu7m9raWhobGwGkLCZXKryfn59b7w6r1Up3dzdtbW04HA7kcrlbgMnHx0fKijr0/IEy8Ww2G62trTQ3N9PT0wP0HvmurKwkJiaGhISECe2/YTKZ+OWXX9Dr9cTFxZGenk5YWNik+XuZTry8vMjKymL37t0kJydL/+833ngjTzzxhFt2VGJiIn5+fsTExBATEyO9j1paWti7dy8ymUwKTIWFhR2xd89EczqddHV10dbWRltbGwaDAW9vbykQL4JRU4fBYBhSv6i+fHx80Gq11NbWHvWtJ3p6enA6nW6T9Ppuvw7UvLyvK664Qhqk9dprr7Fu3bphfV5rtVp2794tfb+NlFwuJzIykoiICNrb26mpqWHbtm1SX6mpHoDR6/W0trayaNGiI76+TqeT5uZmDh48SHd3NyaTiUWLFpGWljZOqxVGa0TfoA8//PCglykUCiIiIsjKyppWEVphamlqaqKwsJBdu3YBMHfuXE444YQBr1tSUiI1FQwMDGTRokV8/fXXtLW1UVhYKDXAE/qzWCzIZLJp0ZdG8Ay5XE5SUhKhoaEcOHCAtrY2UlNTJ8UOm8lkkgIj0BuMksvlOByOafV95ePjQ0pKCjt37qSmpmZcg1EOh4Pm5mZqampobm5GqVTi7e0tHZF2fV4cGkwa6MfLy2tUgRlvb2/Cw8MJDw+XskFaWlqor6+npKSEAwcOEBkZyYwZM8Z1h9zhcFBSUsLOnTsJDAzk17/+NVqtVgShxlhycjJFRUXs3r2bZcuWIZPJCA0N5eabb+Yvf/kLNpuNhx56yK20H9zfR06nU3ofVVRUUFBQQGho6KQq53M6nZhMJin41N7eDvQ2ZNZoNKSkpODv7093dze7du3C6XSK994U0d7ePqLP8+joaHbv3k1iYuKk+C6eKK7m5a5A0OEm6R1apge9g7l+/etf88MPP1BSUsKWLVtYvnz5kB8/KCgIb29v2traPPKdI5PJCAsLIywsTJoUnJ+fT2BgIDExMWg0min3t221WikuLj5ieZ7dbqe+vp6amhqcTicxMTEkJyeze/fuAQOJwuQ1ok+kc845x9PrEASPcTUu//e//y2dt3bt2gE/kJubm2lrayM0NJSWlhYCAwNZvHgxX3/9NQBbtmwRwajDOLTeXhBcVCoVCxcu5MCBA+Tl5TFjxowJP1pnMpmor68HkMbuAlLgYzqJiopCo9FQWlpKenr6mAeMzWYz1dXVlJeXYzKZ8Pb2Jjg4GK1Wi0qlIiAgAB8fHxQKxYR8XsjlcmmjPTk5GaPRSH19PaWlpWzevJmQkBBSUlKIj48nICBgTNbodDppaGggPz+ftrY2srKymDFjxqTsrzYdKRQK0tLSKCsro7q6mvj4eABuuukmnnjiCQwGA6+//jp//vOfB92ZcQWwQkNDSU5OxmQyTYpyPrPZLAWfXBOjQkJCCAsLIy4ujqCgoH5r8ff371e2JExu7e3tJCUlDft2wcHBBAQE0NDQMCX6CI6VQ0sVzWYzYWFh0unDlem5XHnllfzwww9AbyPz4QSj+pbqefoAiL+/P6mpqSQkJEjfbWVlZcTExBAZGTllgpClpaVST8iBmM1mamtrqaurw8/Pj6SkJOnAYnFxMeHh4aJaY4qZGu9MQRiGrq4uCgoK+P7774HeCVO/+93v+l3PZrNRXFwsNYKsra0lPj7erW/Ujh07xmfRU9ShKc6C0JePjw9ZWVlUV1eza9cukpKSJrSHkclkkqbpxcTESFlRkyGbwdNkMhmzZs2iqqqKioqKMUlZdzgc1NTUUFZWRkNDA15eXkRGRkrNQgfaAZ4MZDIZAQEBpKSkkJKSQldXF4WFhRw4cIC9e/cSHh5OXFwcGo2GkJCQUT8Hp9OJXq+XXqeAgADOOOMM0Zx8AsTGxnLw4EEqKirQaDQEBARI2VF//etfpeyol156aUj3N1HlfK6eaK7gU09PD0FBQYSGhpKZmUlISMgRg5xyuZzAwEA6OztFMGoKsFgsGI3Gfv2iurq6aG5uPmI2SHR0NJWVlZOij+BE6e7udnuvHy4zarDXc+XKlYSEhGAwGHj33Xf5xz/+MazPcq1Wy969e0ddqjcYhUJBXFwcMTExUvlaRUUFUVFRxMTETOrtnebmZlpaWli4cGG/92hXVxcHDx5Er9cTFhbGrFmz3L6frVYrDQ0NzJs3byKWLoyCCEYJ0059fT0fffSRdPqWW24ZcCOwrKyMwMBAIiIisFqtFBUVYTabWbRokXQdV5mfMDAxSU84EplMRnx8PKGhoRQUFNDW1kZGRsa4l3babDapXwr07pQqFAqsVuuk3jgbjcDAQFJSUti7d6/HJhxaLBaampqoqKigtrYWu92OTqdj2bJlREVFTcngdGBgIAsWLCA7O5uDBw9SUlIiNRR3ZbpoNJphBxScTqdUztXd3Y3ZbCY5OZnMzExR2jxBAgMDCQ8Px2QyUVRUxNy5c5HJZNx88808+eSTGAwGNmzYwF133TXsUo+hlPNpNBrUavWwP3PsdjsGg0EKPnV1dUmBtOTkZEJDQ0cU7AoODqazs5PIyMhh31YYXwaDgYCAgH6fHW1tbVRXVxMbG3vYDF+tVktZWZk0JfJoZDQa3Z77oduwrswo18GUgfj5+XHRRRfx3HPPYTQa+de//sU111wz5DUEBwfj5eVFe3v7mE44lMvlhIeHo9Vq6ejooKamhu3bt6PRaIiJiZl0gxhc5XkpKSnS/4nT6aS1tZWamhoMBgORkZEsWLBgwEb89fX1BAUFTWgfSGFkhvTNdbjpeUcik8l46KGHRnx7QRgOu91OQUEBn332GdDbI+Gqq67qd722tjaampqk6LuPjw/BwcG0tLSg0+lITEykoqKCwsJCMS3uMMRrIwxVSEgICxYsoKioiNzcXDIzM8e1l9Ghk/Sio6Px9fWdds3LD5WVlUVxcTElJSWkp6cP+/ZOp5OOjg5aW1upr6+noaEBi8VCWFgYCxYsICEhYcqk/x+Jt7c3iYmJxMXFUV9fT3V1tdRUvaOjg56eHsLCwqRsl8HeN06nk7a2NioqKujp6ZGOxGdmZhIbGzupdgCORtHR0RQXF2O1WqmpqSE2NpbQ0FBuuukm7rvvPmw2Gw8//DAvvvjiiB9joHK+5uZm9Ho9paWlRyznczgcdHZ2Sj2fDAYDSqWS0NBQYmNjCQsLG1Xg12azSb0xR/K5IIy/wfpFdXd3Sz3xDhfckMvl6HQ6ampqjspg1KElqQ6Hwy0Y5fo8gMGzolyuvPJKnnvuOaC3VG84wSiZTIZGo0Gv149pMKrv44WEhBASEkJPTw81NTXs2bMHf39/YmNjpRK3idY3QcDhcNDY2MjBgwexWq1ER0czY8aMQQ/iOJ1OamtrpUoXYWoZ0hbkUKbnDUYEo4Tx1NzczIcffojVagXguuuu6xclt9vtFBUVkZSU5LYzoVarpWDU4sWLqaiowGw2k5eXx7Jly8b1eUwVZrN5wvsACVOHQqFg5syZ1NXVsWfPHuLi4oiPjx+XnXNXQ1+XyMhIaZLeSMcsTwUKhYKMjAz27dtHYmLikHZgLRYLra2tUsmRyWTCZrMBkJqaSnx8/LQuMfPy8iImJgadTkdjYyNVVVVAbzadt7e3FFAICAiQMl0CAwORyWS0t7dTUVGB0WgkOjpammiYnZ09YVMNBXcajYaysjK0Wi2VlZWo1Wr8/f2l7KiOjg5ee+017rrrLqmv1Gj5+fkRGxtLbGzsoOV8KpUKs9lMe3s77e3tyOVyQkNDCQ8PJz09HV9f31F/Vra0tPDKK6/wzDPPSDveDzzwAPPmzZsUO6TC4Nrb2wcMkhiNRhQKBa2trUcMbuh0Oqqrq/uVqx0NzGYzDocDPz8/4H8DeFzfiQcPHsThcAADNy/va968eWRnZ5Ofn09OTg779u1j1qxZQ16LVqtl//79pKWljevBCV9fX1JSUkhISKChoYHy8nLKysqIjo6WejtOxMESV9+97OxsqqqqqK2tRaFQEBsbS0RExBE/m/R6vRTkE6aeIQWjDjc9TxAmk9LSUil46uPjww033NDvOhUVFSiVSnQ6ndv5arWayspK7HY7ixcv5l//+hfQ28RcBKMGJsr0hOGSyWRER0cTEhJCQUEB7e3tZGZmjvn7yGQyodfrpdORkZH4+vrS2to6rTOjADIyMigtLaWoqIjZs2f3u7xv9lNLSwtdXV34+fnhdDqxWq0EBQURHR1NVFTUUVVeJpfLiYqKIjIykqamJqqqqrDZbMTGxpKRkYHBYJB6cnh7e6NUKjEajdJUn6KiIry9vZk/f774nJxEZDIZOp2OlpYWIiMjKSoqIjs7m7CwMG666Sbuv/9+bDYb5513Hrfddhtnn322tAPrCYOV81VVVaFUKgkLCyMxMdGjO4Z79uzhH//4B//85z/p6elxu+w///kPN9xww7QOME91rgzNQ/tFubJ9YmJiaGxsPGJmiI+PD+Hh4dTW1o5JH8HJrLu7Gz8/P7dJej4+PtLf2FD6RfV15ZVXSvsYr776Kk888cSQ1+LqddTe3u7WQH28eHt7ExMTQ3R0NM3NzdTX11NVVYXT6SQoKIjg4GCCg4MJCgoa8yFFNpuNffv2oVQq2blzJyEhIWRmZhIWFjbkx62trT2qe6FNdUMKRonpecJUYDKZ2LRpE52dnQBcfPHFREVFuV2no6ODuro6FixYMOBkGaVSSVtbm1sT85ycnLFf/BQlGpgLIxUYGMj8+fMpKSkhNzeXjIyMMS0dMJlMNDU1Sae1Wi0+Pj7TvkwPerMyEhMTqaysJCYmhrCwMLfsp9bWVmlEdEhICD4+PrS1tREWFkZqaioqleqo3siTyWREREQQHh5Oc3Mz1dXVVFdXExMTQ3p6OnK5nPb2doxGIxEREbS1tbF79250Oh1JSUlH9Ws3WUVFRVFZWUlSUhItLS3U1dURHR3NzTffzFNPPUVHRwe5ublccMEFBAUF8bvf/Y5LLrmE5cuXezSD6NByPk+y2+188sknPPXUU/z3v//t97heXl7YbDZ27NhBe3u7CEZNYgaDAX9//37bWxaLBZvNhk6no6qqCpPJdMTAaXR0tDRQZLqUWA/FQJP0BmtefqTMKIALL7yQP/3pT5jNZt58800eeeSRIR906FuqNxHBqL7r0Gq1aLVaKbDZ0dFBR0cHVVVVdHV1SW1MXMGpoKAgj7xvXIH47du3YzAYmD17NrGxscPu+dTZ2UlXV9eAB9qEqUHk5ArTRnV1Ne+//750+rbbbnO73OFwUFRURHx8/IDN71yp8i0tLcydO1f6sBVNzAfmdDpFZpQwKl5eXmRkZJCSkkJBQQFlZWVSmrynmUwmGhoapNNqtRpvb28cDsdR8R6Oj49HoVBQWFhIXl4eW7dupba2Fj8/P2bOnElCQgLd3d00Njbi7+/PokWLyMrKQq1Wi2DK/+facJ83bx6ZmZm0trbyyy+/UFlZSWBgIDqdjsrKSoqLi8nMzCQ5OVm8dpOUQqEgIiKC+vp60tPTKS8vx2QyoVKpeP/994mLi5Ou29nZyWuvvcavfvUrEhMTueeeeyguLp7A1R9eW1sbf//730lKSmLlypVugajg4GBuvvlmiouL+e1vfwv0Bjp+/vnnCVqtMBSD9YsyGo34+vri4+NDSEgIra2tR7wvV0Chvr5+DFY6eR1pkp6reTkMLTNKpVJJyRotLS188sknw1qPVqtFr9fjdDqHdbux4poyGxUVRXp6OgsWLGD58uXMmDFDGnRQWFjIli1b2LFjB0VFRdTV1dHV1TXs59DW1kZeXh45OTn09PRwyimnkJmZOaLm4zU1NURERBxVgdXpRgSjhGnB6XTy9ttvSzubp59+OjNmzHC7TnV1NTKZjNjY2EHvR6PR0NLSglKpZM6cOUDvF1RHR8fYLX6KstlsR82OvDC2IiIimD9/Pm1tbezatQuTyeTxxzCZTNTW1gL/a+jpdDrx8fE57ASi6cI1Hcjf35/o6GiWLVtGZmamlCJfX19PTEwMS5cuJSUlxaNlSdONTCZDpVIxd+5cZs+eTVdXF9u2bSM3NxeDwcD8+fNF74opICYmhqamJqlpbnFxMU6nk5NOOomKigr+85//cMUVV7j1RayuruaBBx4gPT2dJUuW8Pzzzw8pADAeCgoKuPbaa4mJiWHt2rVUV1dLl6WlpUl9op544glSUlJYsWKFdPk333wzEUsWhuhwwShXgEWlUg35vRgdHU1tbe2kCYSMh4Eyo/pmmg03Mwp6S/VcXn311WGtx/X/6ZrwOxl5eXkRGhpKXFwcM2fOZOnSpSxdupSEhAQUCgVNTU3s2rWLLVu2kJ+fT1lZGXq9HrPZPOh9mkwm9u3bh1qtJiAggIULF/YrPx0qs9mMXq8nJiZmpE9RmARGFUa0WCxs27aNioqKQSOjMpmMP/7xj6N5GEE4opaWFjZt2iSdXrt2rdvl3d3dVFdXM3fu3MOm2AcHB0tTbBYvXkxeXh5Op5OtW7dy6qmnjtn6pyKz2YyXl9dRsSMvjD1/f3/mzZtHWVkZubm5pKenEx4e7pH7tlqtbpNyoqOjpcume4mei2uSUldXF15eXhw4cACDwYBWq2XOnDkEBQWJLJ4RcJVYdXZ2YjAYiIqKEp+JU0RAQADBwcHU1dWRlJTEjh07qK+vR6fTIZfLOf744zn++ON5+umn+fjjj9m4cSNff/21lL25fft2tm/fzs0338zpp5/OpZdeyooVK8a1dN1ut/P555/z1FNP8d133/W7fMWKFdx4442cfPLJ/bZ9+m7T/Pzzz9hsNpFdMAnZbDa6uroG3GHv7u6WAiwqlYqqqiocDscRS0ldTfxbWlqOisC50+kcMDOqb6C5b2bUUAcXnHDCCSQkJFBZWcnXX39NdXW1W1bl4fQt1ZtKwy2USqVU2gf/e207Ozvp6OigsrKS7u5ulEplv/5TMpmMgoICoqKisFgsBAYG9munMhx1dXWEhoYOWO0iTB0j/tb55ptvuPfee2lvbx/0Ok6nUwSjhHHx4YcfUlJSAsDChQs57rjjpMucTieFhYXExMQccfKbXC5HpVLR0tLC4sWLpdGtP//8swhGHeLQFGdBGC25XE5qaiphYWEUFhbS1tZGSkrKqHfuTSYTdrtdamAeGxuLTCbDZrMdNcEo6O2Ts23bNrq6utDpdGRmZoqebx7iKn0RppaYmBhKSkqIjY0lPT2d/fv3o1Kp3D4X/P39ueCCC7jggguor6/n7bff5o033mDv3r1A74HZDz/8kA8//BCVSsUFF1zApZdeOmBvSk9pb29nw4YNPP3002470dDbj+/yyy9nzZo1gzapNhqNmM1mZsyYQUFBAcXFxZSWlpKRkTEm6xVGzmAw4OfnN+D2lqtPHfQGV728vDAYDEfsQ+Q6OFFbW3tUBKMsFgt2u90t49dsNrs9d1dmVHh4+JCDG3K5nMsvv5z/+7//w+l08vrrr3PvvfcOeV1arZbCwkJSUlKm7MEgmUxGYGCgW2DJbrdLwamOjg5qamqwWCyYTCYcDgdhYWHU19ezcOHCET9vh8NBXV0dmZmZnnw6wgQYUZne3r17ueWWW+js7OS0006TvuyuueYaTj75ZKnm87zzzhOBKGHMWSwWXn75Zen0n/70J7cPt5qaGmw225CPdGg0Gpqbm92amG/fvt1zC54mRL8oYaxoNBoWLFhAd3c3+fn5h035HgqTyeR24CQ6OhpfX1/MZvNRFYzy9fVl8eLFLFmyhPj4eBGIEo56rp5ozc3NqFQqtFqtVK43kKioKG677Tb27NlDfn4+t956qxQMAGhtbeXZZ59l0aJFZGZm8vDDD3Pw4EGPrbewsJA//vGPxMTEcOutt7oFopKTk3nyySepra3lH//4R79AlMVioaamhry8PHJzczEajW7bOZs3b/bYOgXPGaxED9zL9Fzlw0Mt1dPpdBgMBrq7uz211EnLNUmv74GtvgdUzWYzdXV1wNBL9Fwuu+wyaZ9jw4YNw+p7GRoaisPhmHatQPqW982aNUtqCyCTyUhISKCjo4P09PRRbX81NTWhUCgmtAG84BkjCka99tpr2O12nnrqKR577DGpN88tt9zCU089xVdffcUxxxzDjz/+yIUXXujRBQvCoX744Qd27NgB9H6JrFy5UrrMZDJRWVlJenr6kLMrVCoVRqOR2NhYaQNg586dR1Vt/VCISXrCWPL19SU7O5uAgADy8vJGtbFmMploaWmRTut0OpRK5VExSe9Qfn5+U/YIrCB4mkwmk/rnQG9Ap6uri8bGxiPeds6cOTz22GPU1NTw+eefs2rVKrfPk6KiIu666y7i4+M54YQTeOONN6Rpv8PhcDj4/PPPpSa/zz33nFsA4eSTT+azzz6juLiYm266yW0qnt1up7GxkT179vDLL7/Q3NyMTqdj2bJlzJw5k8svv1y67scff4zRaBz2+oSx1d7ePmCJntVqxWKxuGXxqNXqIQejFAoF4eHhUvn6dHZov6hDB/BUV1dL2/hDaV7eV1xcHCeffDLQm131ww8/DPm2crlcKtWbzqxWK2VlZWRlZTFz5kyys7NH1YbB6XRSU1NDdHS02J6ZBkYUjNq5cycpKSmceOKJA16uUql44oknMJlMPPPMM6NaoCAcjtPp5KmnnpJO33rrrVLPA6fTSVFREREREcOqx/b29iY0NJTW1lYWLlwI9Pak8uTRzelAlOkJY00ul5Oenk5sbCy7d++mqalpRPdjMplobm6WTkdERODr63tUBqMEYbJzOBwYjUba2tqor6+noqKCmpqaMTsgFBkZSWdnJ52dnSgUCtLS0igpKeHAgQM0NDTQ09Nz2Nt7e3uzYsUKNm3aRENDA6+88kq/VgE//PADl112GZGRkaxevZpvvvkGu91+2Pvt6Ojg6aefJj09ndNPP52vv/5auszf35/rrruOgoICvvrqK04//XSpT5DT6aStrY3CwkK2bt1KVVUVISEhLF68mOzsbKKioqTtpKVLl7oddNu2bRvl5eVHXJswPlz9ogZrXu7j4+PW5yssLAyj0XjE96xLTEwMjY2NWK1WTy15Ujq0X5TVasXpdErbsCNpXt7XaBqZT7apep7mapUSHBw8qv5QfRkMBnp6eoiMjPTI/QkTa0Q9o1pbW6VJY4CUcdJ35zQoKIiFCxe6jZQVBE8rKCiQNtBUKpXbUb6GhgZMJhOzZs0a9v2q1Wqpb5Rryswvv/wy5MaERwNX80FBGEuuCZj+/v4UFBTQ3d1NQkLCsI6GmUwmt0yH8PBwfHx8RDBKECaAw+Ggp6dn0B+LxYJMJsPX11f60ev1NDY2kpmZ6fFmtQqFgsjISGpra8nIyECj0TB79mxaW1upq6ujqKgIpVJJaGgoYWFhhIaGDnogJiQkhCuvvJIrr7ySiooK3nrrLTZu3EhpaSnQG0B46623eOutt4iKimL16tWsXr3abTulpKSEp59+mg0bNtDV1eV2/4mJiaxZs4YrrriiX4DCldHV1NSEw+EgIiKC7OxsAgMDB/289Pb25uSTT+bf//433d3dUklzY2MjycnJaLVakXkwgTo6OlAqlQN+T/Ut0XPx9vYmODiY1tZWdDrdEe8/MDCQoKAg6uvrp/X2rdFodAuEmM1mFAqFFMDtW+463MwogLPOOkvab/jggw9oa2sbcvlYWFiY1GOpb1bjdFFXV0dXV5dHe+jV1NRM6mEhbW1tfP7551RVVXHxxRdP678tTxhRMCogIMDtqImraWdTUxOxsbH/u3Nvb7ej0YLgaY899pj0Xrz++uulL2az2UxZWRmZmZkjmg6jVqspKytjwYIF0nk///wz559/vmcWPg2IMj1hPKnVaubNm8fevXvp7u4mMzNzyBsiRqNR6gcBvUcivby8cDgcIhglCB5mt9sxm82HDTbJ5XJpJ9vX15eAgADUarV02sfHx23HxW63U1FRQV5eHsnJyURFRXk0SBIdHU1eXh5JSUn4+PhIUxKhNzvFYDDQ3t5OTU0NBw4cwM/Pzy04NdB3YWJiIvfccw93330327dvZ+PGjfzrX/+ira0NgPr6etavX8/69evJzs7m97//PVu2bOGLL77olyVx4okncuONN3L66af363vT1NQkHXzTaDSkpaWhUqmG/Pqcdtpp/Pvf/wbg22+/5fHHH6exsZHS0lLq6+tJSUnpF/QQxsfh+kX1naTXl6tv1FCCUdCbHVVaWioN9phuBpuk1zegPNrMKKVSyerVq3nyyScxm83885//ZM2aNUO6rVwuR61Wo9frp10wqru7m7KyMmbPno1CofDIffb09EjJApNJRUUFH3/8MZ988gk//vijtG/6yy+/8Omnn07w6ia3EQWjIiMjqa+vl04nJSUBsG3bNikYZbVa2b17N2q12gPLFIT+WlpaeOedd4DeLwLXB7/T6aSkpAS1Wj3i95+fnx/+/v7S6FIQTcwPJcr0hPEWEBDA/Pnz2b9/P7t27WLWrFlHDCZZrVZsNpvUEwZ6j0TKZDJ8fHyOOAJbEAR3drt9wCCTKwDlCjb1zWwKDAxEo9FIpxUKxbB2fL28vEhJSUGlUlFYWEhLSwvp6ekeOyASEBBASEgI9fX1/YadeHt7u21P2Gw22tvbaW9vp7q6moKCAvz9/d2CU313vGQyGUuWLGHJkiU88cQTbN68mY0bN7J582ZsNhsA+fn55Ofnuz2un58fq1ev5oYbbnDLnLLZbDQ3N9PY2CgFK2JjY9FoNCM6+NZ3UvBXX32FTCYjMjISjUZDZWUleXl5REdHEx8fP6L7F0bOYDAMWopkNBoH3MZVqVRUV1fjcDiG9P2m0WgoLS2lubnZbZt3unBtA/QN3B26/TrazCjoLdV78skngd5SvaEGo6D3AFlpaSlJSUnTJiBot9spKCggJibGo03GXRMgJ/pAosPhIDc3l08++YSPP/6Yffv2DXi9rKyscV7Z1DOib5X58+fz7rvv0tnZSVBQEMcffzxeXl488sgjWCwWoqKi+Pe//01TUxNnnnmmp9csCAA8+eSTUrPNSy+9VJpoo9frMRgMLFq0aFT3r1arMZvNJCYmUlFRwZ49e7DZbGJjjN4PYavVKoJRwrhTKBRkZWVRWlpKXl4es2bNGrC5q4vJZEKhUFBdXQ0gNc0UWVGC8D+uz3SLxSL9HHra9WOz2foFm4KCgtBqtSMONg2VSqVi4cKFFBcXs2PHDtLT0z02mj46Opri4mJiY2MPuxPv7e2NRqORHtdqtUrBqcrKSikLwxWcCgkJkYJTSqWSlStXsnLlSvR6Pe+88w4bN26UhrBAb0PkNWvWcOWVV6JSqYD/9YFqaGigubkZPz8/IiIiyMjIGPX3cEREBPPnzycvL48DBw5QV1eHTqfD29ublJQUIiMjKSkpIScnh+TkZMLDw6fNDvNkZrfb6ejoICMjY8DLjUbjgOU/gYGByOVyOjo6htQvtW8T/+kYjOru7sbX13fQSXrgnhk10pKqWbNmsWjRInJycsjPz2fnzp3MmzdvSLdVqVRYrVa6urqkaqOprry8HLlcPuLg3kDsdjv19fUjar/iCT09PXz33Xd88sknfPrpp26JOX0lJSVx9tln89vf/pbly5eP8yqnnhHtVZ900kn89NNP5OTkcOKJJxIeHs4f/vAHnnnmGR544AGg94szJCSEm2++2ZPrFQSgt1/RSy+9BPR+kd56661A70ZhSUkJqampo04J1Wg07Nmzh4ULF1JRUUFPTw/79u0jOzt7tMuf8iwWC4Ao0xMmhFwuJzU1lYCAAHbv3k1aWtqgR49NJhPe3t5SmV5cXBwOhwOn0ymCUcK0NtwAE/QGe318fKR/fXx8CAwMdDtPqVSOWbBpKBQKBTNmzKCpqYnCwkK0Wi0pKSmj7h+iVquRy+U0NzcPa9KTQqFAq9VKO/IWi0UKTpWXl2M0GgkMDHQLTnl7e6PValmzZg1r1qzhwIEDfP/998TGxnLaaafh7e2N0+mks7NT6gMFvYGjefPmeaRfY2dnJ3K5nICAAFasWEFeXh4AX3zxhVtD5sDAQLKzs2lqaqKsrIy6ujpSU1NFz8gx1tHRgY+Pz4DfU67sxIHK9GQymVSqN9ThPVFRUVRWVtLV1TXt/l8PnaQHvcGovue5MqN0Ot2otguuvPJKcnJygN7sqKEGo/qW6k2HYFRLSwsNDQ0sWLDAo9nnDQ0N+Pr6HvYApKc1NzezefNmPv74Y77++mu3SaYuMpmMxYsXc9ZZZ3H22WeTmZkpAvbDMKRg1N69e5k9e7Z0eunSpW5TPQDWrFlDWloaX375JQaDgaSkJC699NIh1ywLwnC8/vrr0sbZWWedRXp6OgClpaUEBwd75OhOUFAQcrmcOXPmSP0Utm/fLoJR9G5sH9rTQxDGk+torr+/P/v376e7u3vAFHdXQ15XD5bY2Fi8vb2xWq0iGDVOnE4ndrsdh8MhBQJdvx96+nCXDee0qwzzcD9TrUTT9dxcASWr1TpocMl1GfQGS/oGlwYKMLl+nyqviUwmIyIigpCQEAoLC8nNzSUzM3NUPVdcnyk1NTWjGjvu4+NDeHi4dB9ms1kKTpWWlmIymQgKCnILTmVmZpKZmQn0Hn2vra2lsbERs9mMRqMhMzOT0NBQj3znGo1GKioqpAyrhQsXctppp0kHkzdv3uwWjIL/vd5qtZqqqip27tyJTqcjISFBZIuPkfb2dkJCQgb8PzcajXh7ew960FWlUnHw4EGpjcqRKBQKIiIiqK2tlbanp4tD+0VB79+kK1DXd8DJaLN4Vq1axS233ILRaOSf//wnf//73/Hz8xvSbbVaLeXl5SQmJk7pbWuz2UxhYSGpqalDfu5D4XQ6qa2tJS4ubsxfn+LiYqn8buvWrTgcjn7X8fX15Te/+Q1nnXUWZ5xxhpjsNwpD+gb5/e9/T1paGueddx5nnnnmoJH2k08+mZNPPtmT6xOEfpxOJ4899ph0eu3atUDvlMfm5mYWLVrkkQ8qmUyGWq0mJSVFOu+XX37h2muvHfV9T3WiX5QwWYSFhTFv3jz27duH0WjsN7TAZDLR2toqnXYd+TSZTNOyJGGyMRqN7N27F5PJJJ0nk8mQy+XI5XK334dz2tvb+7CXO51OKTDT09NDR0eHW7AGesutjhSwcgVpxmLj1xVYGs6PK9CmUCj6rT8wMLBf0GkqBZhGwtfXlzlz5nDw4EHy8/OJjY0lPj5+xM/ZlSHiakPhCUqlkoiICKmVQE9PjxScKi4uxmw2ExQUREhICJ2dnRgMBsLCwoiPj0ej0XhsYpTZbKayspLGxkYiIiJYvHgxu3btQq/Xs2jRIimb5ttvv8VqtQ4Y6PD29iY5OZnIyEhKS0vZvn07ycnJRERETOkd6MnIYDAMGhR1ZfsM9pqrVCoOHDgwrG216Ohodu7cSVJSkseaTU8GRqNR+ttz6fu6VFVVSeePpHl5X8HBwfzud7/jjTfewGAw8MEHH3DRRRcN6baufnjd3d1TNjvN6XRSWFiISqXyeHCmra0Nm802qgMFg7Hb7Wzfvl1qQF5YWDjg9bRaLWeccQZnn302J510khjs4CFDCkZ5eXlRVFTEQw89xKOPPsqJJ57Iueeey7HHHjvW6xOEfr744guKi4sBWLJkCcuWLcNms1FUVERycrJHgyRqtZqIiAi8vb2x2Wxs27bNY/c9lYlJesJk4u/vz7x589i/fz87d+5k9uzZ0hE5k8kkZVFC7wAOpVKJ0WgUmVFjrL29nX379qHT6YiLi5OCRRO90+p0OgfNKOrq6upXvuYK/hwpaOX6nhgoiNQ3W8n145q248pwOPTHFVw69Mfb23vCX8PJRCaTERcXJ+2At7a2kpmZOWAJ05F4e3sTERFBTU2NlKnkab6+vkRGRko7az09PbS1tdHR0YFGo2HGjBke/X612WxUV1dTU1ODWq1mwYIF0msTFxdHVVUVWq2WU045hU2bNtHZ2ckvv/zCcccdN+h9BgQEkJWVRXNzM6WlpdTV1ZGWljZld6InG4fDQUdHB2lpaQNePlC2T18KhYLg4GBaW1uJiooa0mMGBgYSHBxMfX39tBpFf+hr5XQ63YJRnmhe3teVV17JG2+8AfSW6g01GOXl5YVKpUKv10/Zv6OamhpMJhMzZ84ck/vW6XQeO7hiNBr55ptvpP5Per1+wOulp6dz9tlnc9ZZZ7FkyRKPHRwQ/mdIwagff/yRjz76iA8//JCSkhK++OILvvzyS6KiojjnnHM455xziImJGeu1CgIAjzzyiPT72rVrkclkVFRU4OfnN+Qv3aFyTd2aPXs2u3btori4mI6Ojmk3fnW4LBaLyIwSJhVvb2+ysrIoKytj586dzJw5k9DQUIxGo1uTyYiICJRKJW1tbSIYNYYaGhooLi4mNTXV45/Lo9W3hO9IHA7HgEEri8WC0Wh0O+2aXjVQAMnPz4/g4GC3kjlXYGk6Zy6Np8DAQObPn095eTl5eXkkJycTFRU17MBdTEwMubm5yGQydDodQUFBYxr88/X1JSoqyuN/Jw6Hg9raWqqqqqS+T4duu0RFRVFdXU1zczMrVqxg06ZNAHz++eeHDUZB79+RVqtFpVJJpXuRkZEkJiZOq8yaidDR0YG3t/egZU5Go1Hqm9PV1UVTUxPx8fFuO8quTLfhvK9iYmIoKSkhNjZ2WgS8XQcB+gambTYbDodD2obt27zcE8GoY489ltTUVEpKSvjhhx8oKysjOTl5SLfVarWUlZURHh4+5bJuOjs7qaioIDs72+Olu0ajkfb29kGb+Q9VY2Mjn376KZ988gnffPMNPT09/a4jl8tZtmwZZ599Nmeeeea0K1udjIb0blGpVFxxxRVcccUV7Nmzh/fee48vvviCuro6nnvuOZ5//nmWLFnCeeedx0knnSQyJoQRc31JDPYe2rlzJz/99BMAKSkpnH322RgMBurr61m4cKHHvzy9vLwICwtj5syZ7Nq1C6fTSW5uLieccIJHH2eqObT5oyBMBjKZjJSUFPz9/dmzZw8JCQnYbDapeTkglb2IaXpjw+l0UlVVxcGDB5k1a5Y0DWyq6js17nCcTidOp3NSZH4dzeRyOSkpKajVagoLC2lpaSE9PX1Y26WuTMu6ujp2794tHehyZUlPdk6nk4aGBiorK6Vm764Da4eSy+XExcVRWVnJySefjEwmw+l08vnnn7sd+DscLy8vkpKSpNK9nJwc6bT4WxiZw/WLgt6d86ioKJxOJ0VFRZjNZvR6vVvfNJVKRU1NjfS5NBRqtZrS0lKam5unRRm70WhEqVS6/d1aLBa8vLyk8/pmRo22TA96t0OuuOIK7rzzTgA2bNgg9WM7Eq1WS1dXF3l5ecTHx49LfyRPsNvtFBQUEB8fPyYH62tqatBqtSOOL1gsFq6++mrefPNNqX9oX/7+/pxyyimcddZZnH766dPivT+VDPtwXFZWFvfddx9btmxh/fr1LFq0CKfTydatW7nttttYvnw5DzzwAAcOHBiL9QrTlNPppLGxkZycHPbv3z/o9f72t79Jv996663IZDKKiopITEz0aKO8vtRqNampqdLp7du3j8njTCWiTE+YzHQ6HVlZWZSUlGAwGDh48KB0mVqtljJjREaKZzkcDgoLC6mvr2fevHlTPhA1HK5eVVNhx+FoEBYWxoIFC/Dy8mLHjh00NzcP6/aBgYGkpaWxbNkyoqOjaWhoYOvWrRQVFdHR0THgDs1EczqdNDc3s2PHDqqqqkhKSmL+/PmoVKrDvi+joqKwWq14eXmxYMECoHdwUU1NzbAe39/fn9mzZ5Oeni5lSnV2do7qOR2tDAbDoP15HQ4HJpOJgIAA6urqsNlsLF68mKioKPLz86msrMTpdEoZfR0dHUN+3L5N/KeDwSbp9c3s93RmFMCll14qZam9/vrrUkn2kchkMpKSksjOzqaxsZGdO3cOOL1tsikpKUGpVI5JeafVaqWhoWFUFVgvvfQSGzdudPvcjoyM5JprruGzzz6jpaWFDz74gMsuu0wEoibAiLfElUolZ511Fm+88Qbffvst119/PVFRURgMBt566y1WrlzJypUr+ec//+nJ9QrTUFdXF/n5+ZSXlxMTE0NHR8eAkwuqqqp4//33gd7shssuu4zKykq8vLzGtExUrVa7fUGJvlGiTE+Y/EJDQ0lNTcVut0s95sLCwlAoFDidTpEV5WFWq5U9e/ZgNBqZN2/elCsxEKYfV1ZQSkoKhYWFFBUVYbPZhnUfXl5eREVFMX/+fObOnYtMJmP37t3k5eVJgYDJwGAwsGvXLoqKioiOjmbRokVDbireNztqxYoV0vlffvnlsNchk8nQaDQsXLgQtVotrck12VE4MofDcdhglMlkkjIwKyoqSE1NxcvLi7i4OObOnUtTUxO7du2ip6eHsLAwtwEeQxEZGUlnZ+e0CCQONkmv7/arKzNKLpcTGxvrdtvm5uYRBZ6joqI47bTTAKitre03gf5IgoODWbBgAWFhYeTl5VFVVTUpA+AATU1NNDc3k5GRMSYHYxoaGggKChrxQAmTycRDDz0knV63bh3bt2+ntraWF198kdNPP11sD04wjxwWjo6O5sYbb+T7779nw4YNnH766fj4+FBQUMCDDz7oiYcQpiGbzUZJSQk7d+4kODiYRYsWSWPXB/oSfOKJJ6SjC2vWrMFut1NTU0N6evqYHo1WKpVuqc/bt2+ftF8K40VM0xOmAofDQXJysjS2OTY2FrPZLIJRHmYymdi1axdeXl5kZ2eLzwZhUomIiGDBggWYTCZyc3MxGAwjup+goCC3bKn6+np++eUXioqKJmzHvbu7m71797Jnzx5UKhWLFy8mOjp62FmfUVFRmM1mjjnmGOm8zz//fMTr8vLyIiEhgYULF2KxWNi+fTt1dXVH/bbTUHR2duLl5TVoKwRXtk95eTlhYWFuGahBQUHMnz+foKAgcnNzcTgctLS0DOvxFQoFkZGR1NbWjup5TAbDyYyKjo6WMv4tFgt79uzhwIED0kGW4bryyiul31999dVh314ul0/6LKmenh6Ki4tJT08fk20qp9NJbW3tqBIOXnjhBalv6MqVK3nk/7H33vFtlXf7/3W0JWtLtiXLsrxHbGd4JIQklA1JWyhllQcoBFpov/2Wlg7GQ2mhPF0U6EPLKA1ltnyBhNmSsGcGduxM7z3lPbXn+f3h3zmVbNmWZMmWk/v9eull7XPbls65z3Vfn+vz+99j48aNxBmfQMT8P8FkKzD2RHLgIcyGyTOoqqqC3W5HRUUFcnJywOVyQVEU5HL5HFvxxMQEdu3aBWDmM/b9738fTU1NMBqNy9J1IiUlhe0OMTQ0dMpYmKPB6/XC5/ORMj1CwuNwOGC321kRWyaTwel0wuv1EjEqRkxNTeHIkSNQq9UoKSkhnWYICYlIJMK6detgMBhw/PhxdHZ2hnRgh0OgW2r9+vWgKArHjh1DTU3NsrmlnE4nGhsbUVtbC5FIhE2bNiEzMzPqTCvGWaNUKllx48MPP4Tb7V7SOMViMUpLS1FUVITe3l7U1tZicnKSnBsswNTU1IJ5UYwgMTo6itzc3DmPc7lc5OXlobi4GBMTE+jo6IhYxDAYDBgeHl7y/3+lWcwZZbVa2RJeJi/K7/ejvr4eCoUCmzdvRlJSEmpqatDR0RF2uR0A7NixA6mpqQCAt99+e95ubYvBuKSUSiVqa2vR09OTEN8fmqbR2NiI5OTkuJW2Mc40rVYb1ettNltQ9t19990Xo5ERYklMxKjR0VHs2rULO3bswH/913/h9ddfh91uR25uLu68885YbIJwimCxWHD06FF0dnYiPz8fa9eunbNqoVAo5qxcPvXUU+zKxM6dO+F0OuH3+2EymZZl3BqNJuigfzrnRrndbnA4nFUR5Eo4vbHb7UETwJycHIyNjWFgYIC4d2LA8PAwTpw4AZPJhNzcXJKXREhoKIqC0WhEWVkZRkdHcfTo0agcD4EwbqnNmzcjLS0NZrM5rm4pj8fDhoQDQGVlJfLy8mKyOJSWlgaPx4Ozzz4bwMx87cCBA0t+X2BmDlVZWYnk5GScPHkSNTU16O3tXfViRzyYnJyct0QP+E/5WGZm5oLHMbVajTPOOAMikQj79++PqFwvKSkJCoUiqBPtasPj8cDtdi/ojAqVF9Xe3g6v14uCggLweDzk5uairKwMU1NTqK6uxsjISFhiEJ/Pxw033MCO5cUXX4z6d+FwOMjJycH69esxODiYEC6p7u5ueDyekIJorOjr64PBYIh6bvHEE09geHgYAHDVVVehtLQ0lsMjxIioxSifz4cPP/wQ3/ve93D22WfjkUceQUdHB8RiMa644gq88sor+Pe//40bb7wxhsMlrFY8Hg9aWlpw9OhRKJVKbNy4EcnJySF3MIwzitnZu1wu/O///i+Amcnk97//fXR1daGgoGDZbJZJSUlBO7HTWYxiDuTkxJOQ6DgcDrZED5gRo7KysjA0NITBwcGonRGnOzRNo6enB83NzSgqKoprZh+BEGukUinKy8tZp0F/f/+SnQY8Hg9paWmoqKjA+vXrAQDHjh2LWbaUz+dDd3c3vvzySzaXraioKKaNW7hcLivWMezbty9m78/hcGAymXDmmWfCaDRibGwMhw4dQl1dHcbGxhLC7bHS0DS9YF4UMJNBJBQKw9rv8vl8lJSUQCqVor6+Hq2trWG7e9LT09Hf379qj5N2ux0CgQB8Pj/o/sAGPLPFqMHBQQwNDc1x+UqlUqxfvx5ZWVloaWkJu3TvpptuYq///e9/X/JnPFFcUlNTU+jp6UFRUVHc3NBMbpler4/69UzTK4qiiCsqgYnY2tDa2orXXnsNb7/9NiYmJtgvwYYNG3DFFVdg+/btpOU7gYUpyevo6IBMJkNFRcWinw+ZTAaPxwOXywWRSIR//vOf7AnlZZddBq/Xi7S0NCgUiuX4FQDM7Mi2bdvG3j7dxShSokdIdDweD7xeLwYHB9n7UlNToVAokJKSApfLhRMnTqC4uHjOZJUwP36/H62trRgbG8P69eujDhUlEFYSxmmg0WjQ2NiIsbExFBQUxMQxKZPJUFBQgJycHAwPD8NsNqO9vR2pqanQ6/URfWf8fj8GBgbQ3d0NkUiE0tLSBYWKpZKWloZ169aBoijQNI29e/fiwQcfjOk2uFwudDoddDodHA4HBgcH0dLSApqm2ftP1/MIi8UCiqLmbQDB/L0uvPDCsBcENRoNBgYGUF5ejqamJtTW1qKoqGjRz6FarQaXy8Xo6ChSUlIi/l1WGrvdHvLvGOiMYsLLgZnctNbWVhQXF4cUeSmKgk6ng1arRWdnJ2pqapCeng6TyTSvIFNQUICtW7di//79aGhoQFVVFc4444wl/V7Mvis5ORlNTU0YGRlBYWHhsjUN8Xq9aGxsRFZWVlyP//39/dDpdFHPz/7yl7+weWn/9V//haKiolgOjxBDwhKjrFYr/vWvf+G1115DfX09gBmRQa1W49JLL8WVV16J7OzsuA6UsPqwWCxoaWmBx+NBQUEB21J9MbhcLqRSKaampiAQCPDQQw+xj91www1wuVxYu3ZtPIcekvz8fOh0OgwODqK2thZer/e0LFUjnfQIqwGHwwE+n4/e3l72vuTkZPB4PHA4HFRWVqKlpQW1tbUoLS0l3d/CwOv1or6+Hm63G2VlZSR3i7DqUSqVqKysRGtrK2pqapCfnx+z/BPGLaXX62G1WmE2m3Hs2DFIJBKkpaUhJSVl3pNYmqYxMjKCzs5OUBSFvLw8aLXauDuSeTweSktLUVhYiMbGRtTX16OnpycuLduBmUyprKwsZGZmYmJiAgMDA6ipqYFMJoNOp1vwb3QqslheVGNjI5KSkiISh+RyOWiahtfrxYYNG9Dd3Y2jR48iMzMTRqNx3m1RFAWDwYC+vr5VKUbZbLY5oqbP54PX6w1Zpufz+WAymYIC4UPB4/GQl5cHnU6H1tZWDA0NIS8vb95znJtvvhn79+8HMOOOWqoYxSCXy1FeXo6uri7U1tYu+v+MBTRNo6WlBRKJJK6OaLfbjeHhYZSXl0f1+qmpKfbckcPh4Je//GUsh0eIMWGdSW/dupXtQMTlcrF161ZcccUVOOecc07Lk3HCwng8HnR0dGBoaAhGoxEZGRkRTyaYUr2amho0NjYCADZv3gyVSoX8/PwVmZwolUqsWbMGg4ODsNvtqK+vx7p165Z9HCsN6aRHWA04HA6IxeKgySYTgslY99esWYPu7m4cOXIEa9asgUajifu4/H4/PB7PnAufz5+3dDkRcDqdOHnyJIRCITZs2ECO/YRTBh6Ph6KiIgwPD6O5uRljY2PIzc2N2Wecoqg5bqn+/n60tbUhNTUVaWlpQY1YmNBpt9uNzMxM6HS6qPcLfr8fLpcLLpcLTqdzznWxWIycnJwgJ4jBYEBlZSU799q3bx9uvfXWpf0RFoGiKKjVaqjVang8HgwNDbF/o+TkZOj1esjl8oTdP8aKhfKiRkdHMTo6irS0tIgiKiiKgkqlwvj4OORyOTIzM6FWq9HY2Ijx8XEUFhbOu7Cg0+nQ2dmJ6elptqP0asFut88Jvna5XKAoinXbBDqj8vPzYTQaw35/mUyGDRs2YHBwEM3NzZDJZMjLy5vjqrryyitx2223wWKx4OWXX8af/vSnmDVe4nK5yMnJgVarRXNzM0ZHR1FYWBg3Z+HQ0BAmJiZQWVkZ1++i2WyGQqGIepHw0UcfxcTEBADg+uuvR35+fiyHR4gxYR1pnU4n0tPTcfnll+Ob3/wm2x2AQAiEpmkMDAygo6MDCoUClZWVUecZKBQK9PT04I9//CN739VXX43k5ORFVy3iBYfDQXl5OT7++GMAM6V6p6sYtZwlkgRCNDgcDkgkEnR3dwOYyX1jJtzMT4qikJmZCYlEgoaGBphMpohWFmmahs/ng9vtDikwhbow2TE8Hg98Pp+92Gw2dHR0ICMjAzqdLqHaDlssFpw8eRIajQZ5eXkJNTYCIVakpKRAoVCgqakJ1dXVSEpKmvM9DbzNXOfxeGHvMwLdUhaLBQMDAzhy5AiSkpKQmpqKsbExWCwWZGRkwGAwLLjwRtM0Ky7NJzh5PB5QFAWhUMheRCIRNBoNhEIhxsbGcPjwYWRkZCAjI4NtTnLZZZfhhRdeALA8YlQgfD4f6enpSE9Ph8ViweDgIE6ePAk+nw+9Xo/U1NRTckGMyYtigrQD8fl8aGtrg1arjep3V6vVGBgYYN+byR5qa2tDTU0N8vLyQp7b8Xg86HQ69Pf3rzoxymazzXH0Mc5+5vvKLFZxuVycddZZEQssFEVBr9ezpXuHDx+eswiflJSEb33rW9i1axesVit2796NnTt3Lv0XDEChULAuqZqamri4pBwOB1pbW7FmzZq4RnX4/X6YzWYUFBRE9fqJiQk88sgjAGb+r8QVlfiEJUY999xzMbMVEk5Npqen0dLSAq/Xi6KioiU7DORyOWpra/HZZ58BmGm5Wl5ejpycnFgMN2q2bdvGCmRVVVW45ZZbVnQ8KwEp0yOsBux2OyQSCXp6egAAJpOJdfjOXgVOSUmBWCxGXV0dbDYb0tPTwxaXaJoGRVGs2yrwIhKJIJPJ5tzP5/PnCDo0TWN4eBjd3d3o6uqC0WhEWlraipeojI6OorGxMWKhjkBYjQiFQqxduxYTExNwuVysgOx2u2Gz2djbgd9/YK64HEq0mn1dJpNBLpcjJycHQ0NDGB4ehlwux5o1a8Dj8eDxeGC324MEpkDBye12g6ZpCAQCiEQiVmxSKBRBtwUCwbzfW61Wy2blDA4OsuVG27dvZx3qH3744Yo5omUyGWQyGXJycjA6OoqBgQF0dnZCrVZDp9NBo9GcMuK41WoFTdMhXTPd3d0QCAQQi8VRlUer1Wo0NzezLlxg5kSdidBgHIF5eXlzMnoMBgNqamqQk5OzavJCvV4vXC7XHGfN7M9xR0cHAMBoNC7p883n85Gfnw+9Xo+WlhYMDQ0hNzeXdWbdfPPN2LVrF4CZUr1Yi1FAsEuqqakppi4pv9+PhoYG6PX6uDvIh4eHweVyozYePPLII2xH9p07d5IYoVVAWGIUEaII8+F2u9HR0YHh4eGglbWlIhKJsHv3bvb2FVdcgYKCghUPGv7KV74CLpcLn8932oaYkzI9wmrA4XDA7/fD6XQCmBGjfD4f/H5/yMm8TCZDWVkZGhoacPz4cfD5/DkCk1gsDikscbncJYs0FEUhNTUVKSkpGBsbQ3d3N3p6emAwGJCenr4iZXF9fX3o7OxEYWFhzHJ0CIREhykZWwyapoPKbgNFKua23W6f8xjjjmRcSIH7EovFgiNHjsDpdIKmafD5/CBHk1QqZV1NIpEIAoFgyXMuuVyOsrIyDAwMoLGxEQqFArm5udi8eTPee+892Gw27N+/H+edd96StrMUOBwOUlJSkJKSAqfTicHBQbS3t6OlpYUNhl/tuX/z5UXZ7Xb09fWhrKwMLS0tUZ2kC4VCJCUlYWJiYk7+k1arhVwuR1NTE2pqalBYWAiVSsU+LpFIoFQqYTabQ7q2EhG73c5+pwIJnL/29fWxokVWVlZMtsvMIwYGBtDU1MR+lzZu3Iji4mLU19fjwIEDaGpqQmFhYUy2ORuFQoGKioqYuqS6urpA03TchR2aptHf34/09PSoxjs2NsZ2X+fz+bjnnntiPEJCPEjY0Ae3241HH30Ub731Fqanp1FQUIAf//jH2LJlS1iv37t3L55//nk0NzeDx+MhNzcXP/rRj7B58+Y4j/z0gKZpmM1mdHZ2QqlUYuPGjTENs+3o6MAnn3wCAFCpVPjWt76VECdDcrkcubm5aG5uRkNDw6qso18KNE3D7XavmtUxwumLw+FgJ5oA2JIXj8czbyYHk4e0klAUBa1WC41Gg4mJCfT09KC3t5cVpZbju0fTNNra2jA8PIx169adVvs4AiFcKIoCl8sFl8uNaP7DhEnPFrGYpiiBJXXL5YykKAppaWlITk5GR0cHDh8+jK1bt+K9994DMDOnXkkxKhCRSITMzEyYTCZMTk6yTWWSkpKg1+uRkpKyKjPtQuVFMYHRaWlpSEpKgs1mi1p002g0GB8fDxlGLhAIUFpaCrPZjLq6OqSlpSErK4sVOg0GA5qbm2O24BxvFuuk5/F42HMMADEV2UJ9lzIyMrBz50787Gc/AwA888wzMe9SGUgsXVITExPo7+9HWVlZ3P/309PTcDgc0Ol0Ub3+oYcegtVqBTDjRlst4unpTsLuUe666y4899xz+PrXv4577rkHXC4Xt9xyC2pqahZ97V/+8hf85Cc/gU6nw1133YUf//jHyM/Px9DQ0DKM/NRnamoKtbW16Ovrw5o1a1BSUhLzrkp/+tOf4Pf7AQCXXXYZSkpKYvr+S6GyshLAzCShtrZ2hUezvDBlCcQZRUhkmBO7wH1+WloaRCIRnE7nqugCx7gz1q9fj7Vr18JqteLLL79Ea2sr6/aKBz6fD3V1dZiYmEBZWRkRogiEGMMEKEskEigUCmg0Guh0OqSnp0On00GlUkEikaxIiS6fz0dBQQHWr1+P8vJy1p2wb9++ZR/LYjDB3EVFRTjzzDOh1+sxMDCAgwcPorGxERMTE2wZZaLD5EXNzuMcHh6G3W5HZmYm3G43fD5f1FmsarUa4+Pj8/5NmO55ZWVlmJiYwJEjR2Cz2djXcrlcjIyMRLXt5SZUJz1gRowSCASor69nA66B2DmjAgn8Lo2NjWHNmjWsU+v555+Hx+OJ+TZnw7ikFAoFampq0NvbG9F3wuPxoLGxETk5OcviPOzr64NOp4tq3zc8PIy//OUvAGbEVeKKWj0k5NLBiRMn8M477+COO+7AzTffDAD4xje+ga997Wt46KGH8PLLL8/72mPHjuHxxx/HXXfdhRtvvHGZRnx64Ha70d7ejtHRUWRkZMBoNMZFJR8bG8MzzzwDYGaH8pOf/CShnDhbt27FP/7xDwAzuVHnnHPOCo9o+XC5XODxeKtiZYxw+uJwOMDn89Hb28vep9PpIBAIMDk5uSrEqEAUCgUrSHV3d6O6uhopKSnIyMiIadccl8uFkydPgsfjYcOGDSteFk0gEFYGuVyOCy+8EAUFBWhqakJjYyOam5ujDhWON0wwfFpaGmw2GwYGBtDQ0AAulwudTgedTpfQ+3273Q6fzweZTMbe5/V60d7eznZ2tFgsEIlEUYuUcrkcPp8PVqs1aDuzSUpKQllZGbq6ulBbW4vs7GwYDAYYDAb09fWtiiZWdrs9ZDmjy+XC8PAw/H4/Wy4LxNYZNZvAMtgzzzwTn332GYaHh7F3715ceumlcdsuw2yX1MjISFguKZqm0dTUBLlcDr1eH/dxOp1OjI6OYuPGjVG9/sEHH2TF01tvvRXp6emxHB4hjiTkGeW7774LLpeLq6++mr1PKBTiiiuuwNGjRzEwMDDva59//nlotVp8+9vfBk3T7AeTED00TaOvrw9VVVXw+/2orKyEyWSKmyDx5JNPwm63A5jJaEo0m+VZZ53FXj/dcqNIXhRhNTC7kx4AtnQjVID5akEqlaK4uBgVFRUAgJqaGjQ0NLC29KVgtVrZrl5r164lQhSBcJrD5XJx7rnnsrefeuopdHd3s671RCUpKYnNvMrJyYHFYkF1dXVCnw9MTk5CoVAEzas7OzuRlJTERlTMV6JXU1ODZ599Fm63e8FtcDgcqFQqjI+PLzoeDoeD7OxsrF27Fn19fThx4gRUKhXsdjump6cj/O2Wn/mcUaOjo5iYmEBxcXHQ/CAezqhAmNK9n/70p+x9jz322LJ+lxiXlFwuD8slZTabYbVaUVBQsCyNS8xmMzQaTVTOv4GBATz++OMAZsp477rrrlgPjxBHElKMamxsRGZm5pyOEmvXrmUfn49Dhw6htLQUL7zwAs444wyUlZUFOVkIkdPa2gqz2Yzi4mIUFxfH9UTO6XSyNkuKovD9738/4Q58BQUF7Gezqqpq1djAYwHppEdYDdjtdojF4qDJZnJyMtv1brU7+yQSCQoLC7Fx40bw+XwcOXIEJ0+ejHpfOT4+jqNHj0Kv16OwsHDV/30IBEJsuOCCC9jrJ0+exMjICA4fPoyxsbEVHFV4cDgcJCcno7S0FKmpqUFO2URjdl6UxWLBwMAA8vLyWCGA6RAbyMjICL7yla/gpptuwm9+85tFt8OU6oWLUqlERUUFBAIBjh49ColEgr6+vrBfvxL4fD44nc45wt309DQGBwexZs0aSCQSdHV1sY8t16L3jh07WMfOJ598gn379kX0/1gqXC4Xubm5WLduHcxmM44ePcou/gdis9nQ3t6OoqKiZVmY8vl8MJvNUbuZ/vCHP7DxBd///veRlpYWy+ER4kxCzjhHRkZChlUz9w0PD4d83dTUFFvn/Oijj+KWW27Bn/70JxQWFuKBBx5YsLwPmDnRtlqtIS+hvqynC9nZ2aioqIi6zWYkvPjii+z/97zzzsPatWsTTozicDhYv349gBk1PtEPzLGEqbcnEBIZh8MRJEYJBAJ2YrpaXVGhEIlEyMvLwxlnnAGJRILjx4/j2LFjEWWlMIG1+fn5yMzMXJYVUAKBsDrYuHEj28p9//79KC4uRnp6OhobG1FXVxfX/LpYkp6ejuHhYbhcrpUeyhxommadUcztlpYWGI3GIPEplBh16NAh9vzk2WefXXS/r1arMT09HVSithg8Hg9FRUXIz8+HxWJBY2NjQrvM7HY726WSwePx4Pjx41AoFGw4NiNG8fn8ZSlDA2bEICZCxufzYf/+/WhoaFj271KgS6q2tha9vb3w+XzsuBoaGpCenj5vs5dYMzQ0BJFINCczLRz6+/vx17/+FcDMQt2dd94Z6+ER4kxCilFOpzPkCS/jyJjvC8vskCcnJ/Gb3/wGN998M3bs2IG//e1vyM3NxZNPPrngdp966imUl5eHvFx33XVL/K1WL8uVEeT3+/Hwww+zt3/1q19BoVAEdcRKFLZu3cper66uXsGRLC+kTI+wGnA4HBCJROxk02QyseH7p5IYxSAQCJCTk4MzzjgDSqUS9fX1OHLkCEZHR+c9OaFpGh0dHejo6MDatWtXRQ4IgUBYXpRKJdu0xel04v3334fBYMDGjRvB4/FQXV29akr3VCoV+vv7V3ooc3A4HPD5fGyziIGBAXg8HmRkZAQ9L1SZ3tGjR9nrvb29i0ZHiEQiiMXioPDucElJScHmzZshFArx2WefRfUeywHTSY9ZWKFpGg0NDRAKhUhOTgaHwwFN0+js7AQwMz9YzmYBO3fuZK+/9tprqKysBI/Hw+HDh5f1u8S4pNauXYvBwUEcOHAAdXV1bGOm5XKLMVEwBoMhqsWw3/72t6zI/H//7/8lc5lVSFgB5ocPH17SRpgDWbiIRKKQtc/Mh22+kwnmJJnP5+Oiiy5i7+dwONi+fTv+8pe/wGw2z2vfu/XWW4N2EoE0Njae1oLUcvD++++jubkZANjySrfbDbvdzrY8ThQ2b97MXq+qqsLll1++gqNZPtxuN+muRUhoaJqGw+GA0+lks5RMJhNcLheSkpKWpSPMSsHn85GZmQmj0Qiz2YyWlhbw+XxkZGQgJSWFnej5fD40NTXBYrGgrKwspiHoBALh1EEsFuPMM8/Eu+++C2Dm5PnSSy+FQCBAYWEh9Ho9WltbMTg4iLy8vGVx0EeL0WhEXV0dMjIyEmo+OTk5CblcDg6HA7fbjY6ODhQVFQUJJB6PBx6PZ86++tixY0G3d+/ejTPOOGPB7TGleqEqUBZDKBRi8+bNqKqqwsmTJ5GSkoKcnJyEyhicnRfV0dEBl8vFHhcBYGJiAhaLBcDyiS4M2dnZOPfcc/Hxxx+jtbUVVVVVOOuss9jvUn9/P5KSkiASieZcBAJBzN3LCoUClZWVbGleR0cHtFot6urqoNVqodVq41oRMTExAY/HE5WI1NPTg127dgGYydT8+c9/HuvhEZaBsPbG119/fdQffoqi0NDQENFrkpOTg1pyMzAtRVNSUkK+TqlUQigUQi6Xz1G5GZvx9PT0vGKUQCCY9wtHJuvxh9mhAMAPf/hDADP/E7FYjOnp6YSa5GzatIm9fjqFmJMyPUKi4/V64fV6g8q509PTQdM0fD7fKemMmg2Xy4XRaITBYMDAwAA6OzvR1dWFjIwMqNVq1NfXA5gR/cn3mUAgzAdFUTj77LPB5XLh8/nw6aefBjl0FAoFysvLYTab0dDQAKVSidzc3ITczyoUCkgkEgwMDMBoNK70cFgC86I6OjqgVCrZcxYGu90OgUAwR0QLdEYBM2LUQw89tOA5m0ajQVNTE2iajurcTq1WIzk5GcnJyZiensbhw4eRm5vL5jKuNHa7nf17Dg8PY2BgAGVlZRgfH2dNC4wrCoh/eHkobr75Znz88ccAgL///e8466yz2O/S5OQknE4nnE4nbDYbxsbG4HQ64Xa7weFwQopUzIXP50f9P2A6Np5zzjmQy+UYHR3F4OAgWltboVAooNVqkZycHPPqiP7+fqSlpUVVgfOb3/wGHo8HAHDbbbdBq9XGdGyE5SEsMSqUs8nj8bCKvEwmg8FgADCTPzE9PQ2KorBu3bqo1PLCwkJUVVXBarUGhZgfP34cAFBUVBTydRwOB0VFRTh58iTcbnfQJJs5MVGpVBGPhxB/hoaG8PbbbwOY+R9dc8017GNyuRxTU1MJJUalpqbCYDCgv78fNTU1CefcihekTI+Q6DgcDggEgqAsN4PBAIFAAJfLlZAnSfGCw+HAYDBAr9djeHgYPT09aG5uRnJyMoqKikhQOYFAWBSDwYD169ez2TKff/45tm/fzj5OURQMBgOSk5PR0dGBw4cPIyMjA0ajMaH2MRRFwWg0oq2tDQaDISHGRtM0pqamoNfrMTk5iZGRkZDnXEzpWSATExNBTTqA/5TqLeSOUigU8Hg8sNlscxpFhQNFUcjIyEBXVxcqKysxMjKC1tZWDA8PIy8vb8XniDabDWlpabBarWhubmYDywcGBtixrUR4eSCXXXYZlEolJicnsXv3bvz5z3+GQqEARVHznqf6/X5WpGIuFosFIyMjcDqd8Hg84HK5i4pVoaBpGk1NTVCr1axDyWg0wmg0wuVyYXR0FCMjI2hvb4dMJmOFqWg63wVit9sxMTGB/Pz8iF/b2dmJZ555BsDMeWJgp0LC6iKss+cXX3wx6LbL5cINN9yAjIwM3HHHHTj//PODHv/oo4/w4IMPAgCefvrpiAd18cUX45lnnsErr7yCm2++GcBMedDrr7+OdevWsUFzZrMZDocDOTk57Gu3b9+OY8eO4c0338RVV13Fjvdf//oXcnNzSS1pgvLcc8+xgYpXXnll0MGMUegTjYqKCvT398Nut6O+vh7r1q1b6SHFFb/fD6/Xu+ITDQJhIUJ10tPr9RAKhbBaraeVGMXA4XCg0+mQmprKuhoSYQWbQCAkPnK5HJs2bWKzZN577z2cddZZc8SR1VC6p9Vq0dHRgZGRkYQ4H2AcL1KpFMeOHYPJZAp5jJpdegb8Z4EemKkYYRbdFyvV43A4UKlUGB8fj0qMYrbX2dmJ0dFRpKamQq1Wo62tDdXV1cjJyYFer1+RY4zP52MXpOrq6mA0GlmXmcvlYn/fQDFqJZxRYrEY1157LR5//HE4HA68/PLLuPXWWxd8DYfDgUQimbdSh+kiyFwcDgempqYwNDQEp9PJLpqHEqksFgscDgeKi4vnvK9QKITBYIDBYIDH42GFqc7OTiQlJbHClEQiifh/3t/fH7Xb6oEHHmDPG2+//faE2s8QIiMqK8cTTzyB5uZm7Nu3j+1KEMh5552HNWvWYMeOHXjiiSdw++23R/T+69atw8UXX4xHHnkEY2NjMJlMeOONN9Df3x/UuvTOO+9EdXU1mzMEAN/61rewZ88e/PrXv0ZnZyfS0tLw1ltvwWw2LxpgTlgZaJrGU089xd7+3ve+F/S4QqFAR0dH1JbicPB4PBG7+M444wy89dZbAGZCzE91McrlcoGiqITKBiAQZjO7kx4wM3HmcrmnbIB5uFAUFfXJB4FAOD2RyWTYsGEDe/vYsWPo7u7GmjVrQj5/dumeSqVCTk5OQux7GXdUT09PUI7eSsHkRQ0ODoKm6Xlb29vt9jmle4Elej//+c9x9913w+v1hlWqp1arMTIyMickPVwC/47Jycng8/koKirC+Pg4WlpaMDQ0hIKCgmWPOHE4HOBwOGhvb4dUKoXJZGIfc7lc7N8wsExvPmcUIxTGKyf15ptvxuOPPw5gplRvMTFqMbhc7oK5mF6vd45YNTExwQpVxcXFi1Z4MJ0H9Xo9vF4vxsbGMDIygp6eHohEIlaYkkqli363vF4vBgcHozp3am1txQsvvABgJqLnxz/+ccTvQUgcovKovvvuu9i0aVNIIYpBr9dj06ZN2LdvX1QDe/DBB/Htb38bb7/9Nv7nf/4HXq8Xf/3rXxcNQxeJRHj++efxta99Da+//joefPBBcDgcPPXUU/jKV74S1VgI8eWjjz5iDwzl5eVYv3590OPMjjVerWSHh4dx6NChiFrdAsCWLVvY64cOHYr1sBIOJi9qpSdvBMJCMGJU4Mon00FHIBAkRGkGgUAgrBaEQiHWrFnDzvmrqqpYV/h8MKV7GzduBJfLXfZOYQuRmpoKt9udEN3gJicn2eNVfn7+vMenUGV6geHl5557Li644AIA4XXVU6vVmJqainjeG4hOp4PL5cL4+HjQ+1ZWVkImk6GmpmbZ/+c2mw0OhwMulwuFhYVB89XAmIlwyvT6+vpw8uTJJf2NFmLDhg2syHv48GGcPHkyLtth4PF4kEql0Gq1SE9PR15eHkpLS1FZWYnNmzdHLLrxeDykpqaipKQEW7ZsQVZWFpxOJ44dO4aqqiq0tbVhampq3o6+AwMDSEpKikrse+CBB+Dz+QAAP/3pT9mMMMLqJKpZ+cDAQFh1omKxGIODg9FsAkKhEHfeeSf279+PkydPYs+ePdi2bVvQc1588cUgVxSDRqPB73//e7bbw6uvvjrntYTE4S9/+Qt7/dprr50jdlAUxeZGxRqfz4f29nbQNI3JycmIXlteXs4G5Z8OYpTb7SYleoSEZ7YzisvlQqFQAJi/EyuBQCAQ5kcul7MLuk6nE93d3XPyikLBlO6tXbsWIyMjOHz4MIaHh2Gz2eD1euc9UY0nXC4XBoMBvb29y77t2UxNTWFychJarXbeE2qm/Gq2y4hxRvF4PKxZswZXXnkl+9ju3bsX3K5YLIZIJIp43hsIl8tFeno6enp65tyfm5uL9evXY3h4GLW1tZieno56O5FgNpths9lQUlIS5PKhaTpIjGIWwEUi0bzGCqvVCp/PF9fPCRNFA8y4o1YrXC4XycnJWLNmDbZs2YK8vDx4vV6cPHkShw4dQktLCyYmJtjvO03T6O/vn9cJuBBNTU345z//CWBG/Lztttti+rsQlp+oxCi5XI7a2lq43e55n+N2u1FbW0vawBMWpK+vj3XPyeXyoODyQORyeVwOZt3d3RCJREhLSwta3QkHiUSCgoICAEBzczPbJvZUhXTSIyQ6NE3PEaPS09PZFTQiRhEIBELkyOXyoByiI0eOYGRkBA6HI6zXM6V76enp6OrqwpEjR7B//37s378f1dXVOH78OJqamtDZ2Qmz2YyxsTFYrVZ4PJ64CFYGgwFTU1MrOm9zOp2YmJiA2+0Oyr6djd1uB4/HC4pIcDqdaGxsBDDT1EkkEuHSSy9lBZjdu3cv6khSq9URz3tnYzAYYLVaQy4Wy+VylJeXIyUlBceOHUNbWxt7LI4HNpsN7e3tyM/PnyPcMZ8jgUAAmqZZZ5TJZArp9qdpGjabDdnZ2ejt7YXL5YrLmP/rv/6LFchefPHFuG1nOeFwONBoNCgsLMSWLVvYpmONjY04cOAAmpqa0NXVBZqmo+p+d//997Of7TvuuIPoDKcAUYlR27Ztw8jICO6+++6QO6Dp6WncfffdGBkZwVlnnbXkQRJOXR5//HG2LefFF188b6CkQqGIuRhlt9vR19fHBmxGc1CuqKgAMHPgqq6ujun4Eg3ijCIkOl6vl70w32eTyQSn0wm/30/EKAKBQIgCmUwW5Db54IMPkJKSEpY7iiGwdG/btm3YunUrysrKkJubi5SUFIhEIrjdboyOjqKjowPHjh3DgQMH8MUXX6CqqgrHjh1DY2MjOjo60N/fj9HRUVgsFrjd7ogFKyb7ZiXdUWNjY7DZbMjNzV1woY8p0QsUTerr69nyMabUS61WB5XqLTYnZea9SxH7eDweDAbDHHcUA4fDgclkQkVFBSwWCw4fPrxkASwUHo8HdXV1SEpKYptcBeJyucDj8cDlcjEyMsKWmM4XXu52u+HxeKDX66HVaoMypmKJSqXC5ZdfDgAYHx9nu4qfKjDdAfPz87F582aUlpaCx+NhaGgoqm6bdXV1eOWVVwDMxC/84Ac/iMewCctMVAHmP/rRj/DZZ59h7969+OSTT7Bt2zbWatff348vvvgCdrud2OcICzIxMcHuVADghhtumDePSCaTweFwwO12x8SdQ9M02traoNfrIZVKIRaL4XK5WFdFuGzatIkN0fviiy9w3nnnLXlsiUpgJxICIRGx2+0QCATo7+9n7zOZTPB6vfD7/UtuQ0wgEAinIzKZDDweD2eeeSY+//xztLW1we12Y3JyEiaTKap9K4/HA4/HmzdwGZgpUXO5XHMuNpuNve7xeEBRFIRC4bwXkUg0Z+6Ynp6O6upqOJ3OFVmoaGtrg1QqDSmeBBKqk15gXlRgzuqVV17JVhss1lVPqVTC7XbD4XAsKWg8PT0dX375JaxW67xzRIlEgvXr12NgYAD19fXQarXIzc2NSUMcmqbR2NgIkUgEsVgc8vMUaV6UzWaDWCwGl8tFVlYWDh8+jPT09LjMgW+66Sa89NJLAGZK9QLLLU8lKIqCQqGAQqFAbm5uVO9x//33s+LpnXfeSc5JThGickbpdDq8+OKLKC4uht1ux3vvvYdnnnkGzzzzDN59913YbDYUFRXhhRdeWDDknHD6QtM03nrrLXa1gQnAmw8+nw+JRBIzd9TY2BgsFgt7IGJyZSJdsQnMIjt48GBMxpaokDI9QqITqpOewWAAh8OBx+MhzigCgUCIAh6PB4lEgrPPPpu979NPP0VycvK8rphYwOVyIZFIoFKpoNPpYDKZkJ+fj9LSUlRUVGDLli3Ytm0bNm7ciMLCQqSlpUEqlcLv92NychI9PT2oq6vDwYMH0dLSEhRGLRaLodVq0dfXF7fxz4fdbkd/fz+KiooWbQpjt9vnzYsCENTp8Bvf+AYr8CxWqsflcqFUKjE2NhbNr8AiEAig0+kW/RxQFIW0tDRs3LgRPp8P1dXVGBoaWnIZZldXFxwOBzIzM8HlckM6+CMVo6xWKytqicVipKWloaOjY0njnI9zzjmHdWi9//77cf0+rWaOHz+OPXv2AJjRIb7//e+v8IgIsSLqtkI5OTnYs2cPXnrpJfz4xz/G1Vdfjauvvho/+tGP8I9//AOvv/76gjXQhNOboaEhvP766+ztSy65ZNG6X4VCEZMQc5/Ph7a2NmRnZwetykRTqldcXMwesI4ePboiYZzLBSnTIyQ6ocQovV4PoVC4YqvfBAKBcCogk8mCnDZ79+6FyWTC0NAQnE7nio2Ly+VCLBZDqVQiNTUVGRkZyMvLQ0lJCcrLy3HmmWdi06ZNsNvtc8rEMjIyMDAwwMZFLAc0TaOhoQFCoRAGg2HR5y/WSW/dunXsdZVKhfPPPx9AZKV6S8VoNGJ0dDSsDDGhUIji4mLk5+ejvb0dJ0+ejPrzMzIygr6+PpSUlMDlckEikYQU9wLnr4Eld/OV6dlstiDXjclkwvT0dFw6MHI4HOzcuRPAzGfjueeei/k2TgV+9atfsdfvvvvuJbn5CInFkntcl5WV4Xvf+x7uu+8+3Hffffj+97/P5ugQCKHw+Xyoq6vDRx99BABISkrCVVddtejqUKxCzHt7e8Hn8+e49tRqNSYnJyNqQ8vhcFBaWgoAGB0dRWtr65LHl4jM7kRCICQijBgVuPKp0+nA5XJB0zT5/BIIBEKUyOVypKWlsbEcn376KQBAq9UmvJtDLBZj3bp1MJlMqK+vR1NTE7xeL2QyGWQyGcxm87KNZWRkBGNjY0hPTw/q+BYKv98/p4zO7/fj+PHjAGacPSqVKug1gWVer7766oLvr1arMTU1teRgcbFYjOTk5LAzuCiKQnJyMiorKyEUCnH48GH09fVFtKBrs9nQ1NSEwsJCJCUlhXSQMSzFGQXMVGdkZGSw3bdjzY033sieAz377LMRnYecDtTW1uKtt94CAKSlpeGWW25Z4RERYsmSxSgCIVL6+vrw6aefsgGC559//rwHhEAUCgUsFsuSdtJOpxM9PT3Iy8ubI34lJSWBy+VGLHiVl5ez1z/++OOox5bIMJk7pEyPkMiEckYlJyeDw+FAKBRGHJZJIBAIhBlkMhksFgsuvvhiADMn+J988glMJhMGBwcTvhMYUyZWWVkJt9uN6upqjI2NwWg0or+/f1kEAK/Xi7a2NiiVSmg0mkWf73A42Dwshvb2dlitVgDBeVEMgaV6e/bsWfD3EovFEAgEmJycjOwXCYHRaMTg4OCCndZnw+fzUVBQgJKSEvT39+Po0aOw2WyLvs7r9aKurg7p6elITk4GMCNOzZc/FihGLeaM8vv9sNvtc/KI0tPT4fV6MTQ0FPbvFy5GoxEXXXQRgBmx7FQ9l4iWQFfUPffcQ1zupxhLmpnX1NTgRz/6Ec466yyUlJTgv//7v9nHDhw4gEceeQQjIyNLHiTh1MHtdqOnp4cNWASASy+9NKzWnGKxGBwOhz0IR0NbWxtSUlJCbo/p+hCpZXnTpk3s9S+//DLqsSUybrcbXC530VU8AmGloGmaXUEOFKOYCT+ZvBAIBEL0SKVS+Hw+tgwMAPbt24ekpCRoNJqEd0cxiEQilJaWIjs7G42NjRgaGgKHw8Hg4GDct93V1cW6d5RK5aLPD9VJb768KIZISvUoiopZqZ5UKoVKpYoqg0ulUqGiogJKpRK1tbXo7OycV0RjAsvFYnHQQnakziiJRAKtVjvnuXa7HRwOZ86cgcPhICsrC52dnUt2koXi5ptvZq9fffXV+POf/7ys5aOJSlVVFd555x0AM6Jd4N+JcGoQtRj1xBNP4Prrr8d7772H4eFheL3eIOuiTCbDrl278P7778dkoIRTg87OTgwPD+PIkSMAgMLCQmzdunXREj3gP50Yoi3VGx8fx+TkJLKzs+d9jlqtjrgmPDDE/NixYxGtCq0WSIkeIdHxer3wer0QiUTsZFOv17MTWiJGEQgEQvRwOBxIpVJUVFSwzpu9e/eCpmmYTCYMDAwkvDuKgaIo6HQ6VFZWwufzYXJyEo2NjXHN/bRarTCbzcjMzITD4YBCoVj0NZF00gsk0lK9WIhRwEwGV39/f1BQfLhwuVxkZ2djw4YNGBsbQ01NTcic2K6uLtjtdqxZs4Y9d6BpOmS2FvMYM4f1+/3s/CArKyvkuQfjsAr1WEpKCvh8flDH3lhxySWXoKCgAMDM+cqPfvQjlJSU4O233z6l82gX45e//CV7/d577yXnIqcgUYlRn332Gf785z8jNTUV//u//xuyi9jatWuhVqvZmnICwWq1YmhoCB9++CF7344dO5CSkhL2e8jl8qhCzP1+P1pbW5GZmblgqZlKpYLFYolIUDKZTEhNTQUAtLS0YHh4OOLxJTqkkx4h0bHb7RAIBEE2+szMTLhcLtA0TcQoAoFAWCJyuRw0TbOLcJ2dnWhpaYFUKoVarQ47MyhREAqFKCkpwfr16zE0NIQvv/wyLguKNE2jpaUF6enpcLvdSEpKCmqgMx+h3D6BYlQoZxQQWameSqWC0+kMK3x8MRQKBaRS6ZLEGplMhvLycuj1epw4cSKoC+Lo6CgbWB7o1GfKGUMd530+H3w+H4RCIYaGhljBdL54kIXK/SiKQk5ODrq7u2PuWhIIBPjkk09w/fXXs/e1tLTg0ksvxXnnnRfkiDtd2L9/P2tqycrKwo033riyAyLEhajEqBdeeAECgQC7du3CxRdfDLVaHfJ5hYWFQeUShNOb9vZ2qNVqvPzyywBmnAoXXXRRWCV6DNGGmPf19YHD4SzauUQgEEAqlUbkjqIoCmvXrgUwc0CsqqqKeHyJDumkR0h0mLyowFIRk8kEl8sFn89HxCgCgUBYIjKZDNPT09i+fTt73969ewHM7G/NZvOqc4czLqlNmzZhfHwc1dXVGBoaiqkbhclSMplMmJqaCqtEDwjdSY8RJdRqNRsmP5tISvW4XC6USmXM3FEmkwl9fX1LKmWjKApGoxEVFRVsF8T+/n40NjaygeWBMA6yUG4ml8sFLpcLLpcbdnj57LyoQFQqFZRKZdB7xQq9Xo8XXngBhw8fxllnncXe/8knn6C8vBw7d+6MiysrUQnMirr33nvDEnAJq4+oxKi6ujqsXbsWeXl5Cz5PpVKRzCgCgBnLqcViQU1NDRuUeNFFFyE7OzusEj0GuVwOt9sdURtYl8uF7u7ukKHloYimVK+srIy9/uWXX8alnnwlIWV6hEQnVHh5eno6/H4/EaMIBAIhBsjlclitVjbEHACbASqTyaBSqVadO4rBZDJBLpfDYDCgvb0ddXV1MSk79Hg8aG9vR25uLrhcLiYnJ8MSo5jSs0Bn1ODgIJtttWHDhgXntFdddRV7PZxSvbGxsUXHFA4qlQpCoTAmGVxMF8TMzEx0dnbCYDCwgeWBLJYXJRAIQFHUouHlwMLOKIbs7GwMDAzExE0WioqKCnz66ad4/fXXkZOTA2Dm8/Dcc88hPz8f999/f1hB76uZTz/9lA1yz83NDXKMEU4tohKj7HZ7yNC32Vit1tO6zpUwA03TaGtrQ2ZmJp599ln2/gsvvDDkQWUhuFwukpKSInJHtbe3Q6PRhL0SxdTPR/LZPeOMM9jrLS0tMelMkkiQMj1CosOIUYGrlWlpaeDxeHC73USMIhAIhCUiFotBURRMJhMyMjIAzER3MI1lTCYT+vv7V507CgB4PB7S0tJgs9lQWVkJPp+Pw4cPY2BgYEnnMh0dHVAoFNBqtfB4PLDZbGHlRTmdTtA0DbFYzN4XTl4Uw6WXXhp2qZ5arcbk5GRMOgpSFIWMjAz09vbG7P30ej3OPPPMqASkUOHlQGhnlMfjgcvlWlSMSkpKQmpqKjo6OsL7JaKAoihcdtllaGhowCOPPMKew9jtdtx3333Iz8/Hc889tyxdIJcbmqaDsqJ+9atfkQZKpzBRiVFarTasrhmdnZ3Q6XTRbIJwCsEcyC0WCz7//HMAQF5eHtavXx9RiR5DJCHmk5OTGBsbY1cWwkEul8Pn80W06rB582a2bXxzczNGR0fDfu1qgJTpERKdUM4ovV4PHo8HmqbJ55dAIBCWCEVRkMlksFgs2LFjB4CZ+cEnn3wCYGb+pFQqo+qolgikp6djfHwcHo8HhYWFKCoqQldXF06cOBGRI59hamoKw8PDbCXJ1NQUJBJJWIt7drudFf8YIhGjZpfqLRQhIZFIwOfzY7aQmpycDIqiYpqhyuFw5nWChdtJbzFnlM1mg1AoDKscLDMzE+Pj41Hl2EaCQCDA7bffjra2NvzoRz9iRRmz2YydO3eioqKC/f6dKnz00Uf44osvAAAFBQW45pprVnhEhHgSlRhVVlaGxsZG1NbWzvucTz75BN3d3UFt7wmnH16vF52dncjOzsYzzzzD3n/ZZZchJSUlohI9hnBDzGmaRmtrK0wmU0QnohwOJ+L6ea1Wy3bpa21tRW9v7ynlCiRleoREhqZpOBwOSCSSIDEqOTkZHA4HQqGQFYsJBAKBED1yuRwWiyVkbhTwH3fUamxLLxQKkZyczJYaajQaVFZWQiQSsblF4c7tmNDyjIwM1pkbbokeENrtExhiPV94eSCBpXq7d++e93kURcW0qx6T+dTT0xP3ufBCnfSAyJxRi+VFBSIUCmE0GtHe3r4s832NRoP//d//RX19PS699FL2/qNHj+Lcc8/FN77xDbS0tMR9HPFmtivqvvvuA5fLXcEREeJNVLPzm266CRRF4Yc//CE+/PDDOS08P//8c/ziF78Aj8cjNZ6nOT09PZBIJJDL5Xj++ecBAHw+H1u3bo2oi14gCoUCVqt10VwmZtIwX8DjQkSaG8XlclFaWgpgpnNfY2MjLBZLxNtNRGiahtvtJmV6hITF4/HA6/XOKdNjVmdJiR6BQCDEBibE/Nxzz2XnBfv27WNPyBUKBeRy+ap1RxmNRgwNDbGlhjweDwUFBSgpKUFvby+OHTsGu92+6Pv09fWBpmkYjUb2vkjEqIU66YlEIhQUFCz6HpGW6sVKjAIAnU4Hr9cbsyyq+QhVzhhIoLOfcUbJ5XKoVKo5zw0nLyoQo9EIp9O5rNUQ+fn5ePPNN/Hxxx8HuePeeustFBcX48c//nFM/4/LzXvvvYdDhw4BAIqLi4MEVcKpSVRiVHFxMe68805MTEzghz/8ISorK0FRFN5//31UVFTg1ltvxdjYGO666y7k5ubGesyEVYLT6URfXx9yc3Pxr3/9iw2z37FjB7RaLWQyWVTvy1hoFxJ73G43urq6kJubG5UjQqVSYWpqKqIg8vLycvZ6Z2dn3A/AywUzISNiFCFRcTgcEAgE4HK5rDNKq9Wyq2lEjCIQCITYIJfLYbPZIBaL2Y5f3d3daGxsZJ+TmZmJvr6+VemOkkqlUCqVc7qWqVQqVFZWQiqVoqamZkEHvMvlQldXF/Ly8tg5qNfrhdVqDSsvCpgrRlmtVrS2tgIASktLw8rQUalUuOCCCwAsXqqnUqngcDiiKkcMBYfDWRZ31EKd9ID/OKN8Ph8bMZOZmRny+ZE4o4CZhejMzEx0dHQse3bTOeecg5qaGjz77LNIS0sDMPMZe/TRR5GTk4M//elPqy67jaZp3Hvvvezt+++/n7jaTwOi/g/fcMMN+Nvf/obS0lJWlbbZbLBarcjPz8eTTz6J6667LpZjJawyOjs7kZycDJlMhl27drH3f/3rX2cdC9FAURTkcvmCuVEdHR1QKpVQq9VRbUMsFkMgEERUP79x40b2ektLyykjRjHh5eSAQEhUmLwoj8fDnkCYTCb22ETEKAKBQIgNQqEQAoEgKDcK+E9XPWDGHSWTyVZtG3qj0Yj+/v45C5JcLhd5eXlYt24dzGYzjh49GjJftK2tDVqtNsh9MzU1BbFYHFbkAXNOFejSOXHiBCvqLJYXFciVV17JXl+oVI/H40Eul8fUVaPX62G32+Oaq7RQXhTwHzFqYGCAFUdDleiF+puHg16vB0VRGBgYiOh1sYDL5eLGG29ES0sL7rvvPvbvMDk5iZ/85CcoLi7GG2+8sWpiQ/7973+jpqYGALBu3TpcdtllKzwiwnKwpLPLbdu24dVXX8XBgwexe/duvPrqq/j888/x1ltv4ZxzzonVGAmrkOnpaYyMjCArKwtdXV344IMPAMwEBubl5UVdosegUCjmPbhNT09jeHh4Sa48pn4+klK9devWsQcCZoISqxWmlYR00iMkOowY1dfXx65OmkwmuFwu+P1+IkYRCARCDFksNwr4jztqdpTHakCpVEIsFs8rMCgUClRUVEChUKC2thbd3d3ssWd8fBzj4+NzGudEUqLndrvh8/mCSs8izYtiiKRUT6PRxFSM4vF4MBgMQVmOsWYhAcnv98Pj8UAoFC4aXu5wOEDT9ILCVigoikJOTg66urpW7LOelJSEX/3qV2hpacGNN97ILva3tbXhm9/8Js4+++wFc54TgdlZUcQVdfoQk/+ySqVCaWkp1q5du2SRgbD6oWka7e3tMBqNEIlEeOaZZ1hV/pprrgGfz4+6RI+BcUbNVvuZ0PLAwMhoUalUER2UFQoFW8NvNpvhcrlOCXcU6aRHSHRCddIzmUzshJ6IUQQCgRA7mNyogoIC9sT+iy++CIpPUCqVSEpKWpXuKCaAm8l9CgWXy0VOTg7Wr1+P4eFhHDlyBNPT02htbUV2dvacRbxI86JEIlFQcHMknfQCiaRUj1mEjWXJWXp6OqampuKWo7pYeDlFUeDz+YuGlzOiVjRVG2q1GklJSWF1mo8nBoMBzz77LGpqanD22Wez93/++eeoqKjAt7/97YTNcnvzzTfZz3h5eTkuueSSlR0QYdmISox67LHH8OSTTy5YJgUAH374IR577LGoBkZYvYyOjsLhcMBoNMLr9bJd9DgcDi688MKou+gFIpPJ4PV65ziPGBtuRkbGkt4fiLx+XiAQoLi4mL3d3d29rKGG8YI4owiJTqhOegaDAcBMhgIRowgEAiF2MM4oiqJYd5TH48FHH30U9LzMzEz09vauSndUcnIyALB5p/Mhl8tRXl4OjUaDo0ePgsvlshk+DJHmRS3USY+iKKxduzbcXwNA+KV6SUlJ4HK5MS2r4/P50Ov1cRFqmNK6+dxMTIkeRVGLOqMizYsKhHFH9fX1JURFRFlZGT7++GO89dZbyMvLY+9/8cUXkZ+fj1/+8pewWq0rOMJg/H4/fvWrX7G3f/3rXy/5PHEl8Pv9sFgs6OvrQ0NDA06ePLnSQ1oVRC1G/fnPf8Y111wDs9k87/M++ugjPP7441EPjrD68Pv96OjoQGZmJng8Ht577z12VWzHjh3gcrnsAX4pcDgcyGSyoAOmx+NBZ2dn1KHls2Hq58Mt1aMoCmVlZeztpqYmTE5OrspJWCCBbXEJhESDaes82xml0+nA5/NB0zT5/BIIBEIMkclkcDqdcLvd8+ZGATPuKIlEsmrdUenp6WEFcHM4HGRlZaGiogIlJSVzTqSnp6chFArDXhiZnYPk8XhQV1cHYKabWqS5RoGlert3757X+cREVMS6G5vRaMTY2FhYXQgjweVyLdhJL3D+Gq4zKlpkMhm0Wm3QdlYSiqJwySWXoK6uDo8++iibX+ZwOPDAAw8gLy8Pf//73yNq1BQv9uzZwwo3mzZtCir/TWTcbjdGR0fR3t6Oo0ePYv/+/Th+/DjGx8chkUhgMplWeoirgqjP2IVCIdrb23H11VejoaEhlmMirGLMZjM4HA70ej0ABAWXf+tb3wKXy11yiR6DQqEIcud1dnZCJpNBo9HE5P2ByEv1Nm3axF4/cuQIxGLxqm6xCpAyPUJi4/F42GyNwEmgTqcDRVEQCoUkd4BAIBBiCI/Hg1gshsViwTnnnMPOEfbu3Rsk3FAUxWZHJcJJb6To9Xo4nc6wm9kkJSWFFJwiKdED5opRzc3NcLlcACLLi2IILNXr6+tbtFQv1vNWkUiElJQU9Pb2xvR9ma6O8x3jA539gc6oUGLUUpxRDNnZ2RgeHk4o15FAIMBtt92GtrY23H777awoOTg4iO985zsoKyub42hcTnw+H+677z72dqK6ohjXU39/PxoaGvDll1/i4MGD6OzshNfrhU6nQ3l5ObZs2YK1a9ciMzMTcrl8pYe9Koh6hr59+3bceuutGBkZwfXXX4/PP/88luMirEI8Hg+6urqQk5PDdpb497//DQBIS0tjM8VitZORy+WsM8pisWBwcBC5ubkx3Ykx9fPhdqLIyspCamoqAKCmpgYqlWrV50aRMj1CIuNwOCAQCMDlcoOcUUzHTlKiRyAQCLGHKdWTSCRsPk1fXx/q6+uDnqdSqSAWi1elO4rL5cJgMCxZRJmcnAy7RA+Y69IJDC+PJC8qkHBL9VQqFex2Oyt+xQqj0YihoaGYvu9CeVFAaGeUSqWa879gYj+W4owCZkQ3g8GA9vb2Jb1PPFCr1XjkkUfQ0NCAb37zm+z9J06cwPnnn49169bhZz/7Gd57772YO9gW4pVXXkFjYyMAYMuWLaxoutIwrqeOjo4g19PY2BgkEgny8/OxdetWVFZWoqCgAHq9PurMsdOdJS0X33777bj//vvhdDrxf/7P/8GePXtiNS7CKqS7uxtyuRxqtRoA8Nxzz7ErYTfeeCMmJydjUqLHIJfLYbPZ4PF40NraivT09Ii7YCwG4+IKN3hRKpWiqKgIwMwqy8jICMbGxlZNW9VQkDI9QiLDhJcDYMUouVzO5kQQMYpAIBBiDxNiDmDBrnoURcFkMqG3t3dVuqMMBgMmJyejdrv4fD5YLJawnVEejwcejydoPhsYXh6NMwoIv1SPaTIUa3dUUlIS1Gp1TN1RC+VFAf+Zv3q9Xna785XoCQSCmCy8ZmRkwGKxJGxVRG5uLl577TV89tlnKC8vZ+8/ceIEHn74YVx88cVQqVQ499xz8bvf/Q41NTVx+956vV7cf//97O0HHnhgRcQcmqZZ11NjYyPreuro6IDH4wnpelKr1eDxeMs+1lORJdcuXH311Xj88cfB5/Nx77334s9//nMsxkVYZTgcDpjNZraVrd/vx9NPP80+fvnll8eki14gTP19R0cHXC5XXGpzKYqKqFRPIpGgsLCQvV1fXw+KomIaBrmc+Hw++Hw+IkYREhZGjPL7/WxAqslkgtPpBE3TRIwiEAiEOMA4o2iaXjA3CphxZYhEogVzZhMVgUAAnU4XtYgyPT0NgUAQUV6UQCAIOtENdEatW7cuqnGsdKkeMCPUMI2GYsFizigmZiKwTDRUePlS86IC4fP5MJlMaG9vT+iF6LPOOgvV1dV44YUXUF5eHiQCud1ufPLJJ/jv//5vVFZWIiUlBVdeeSX+9re/oaOjI2Zj+Oc//4mWlhYAwNlnn41zzjknZu+9EIGup2PHjmH//v04duwYRkdHIRaLWdfTxo0bietpGYhJkMbZZ5+NF198EWq1Gk8++STuvvvuVbn6QYie9vZ2pKamsjvzTz75hN1hXXDBBRCLxWzZTCyRSqVobW1FTk5OUAvcWBLJQZnL5QZZqKurq6HRaFZtqZ7L5QKHwyHqPyFhYTrpBU5wMzMz4XK54Pf7iRhFIBAIcUAqlbLlTXl5eexi5P79++d0217t7qj09HSMjIxEVWLG5EWFO/+dLYzQNM06o/R6PRsFEQ2BpXqvvvrqvM/TaDQYHx+f1z0VLXK5HHK5PCYlm4t10gP+44xaLLw8FnlRgRgMBvh8PgwODsbsPeMBh8PB9ddfj5qaGgwPD+OVV17Bd7/73Tl/o/HxcezZswe33norcnJykJOTg+9973t47bXXohYtPR4Pfv3rX7O3Ax1S8cBms6GxsRFVVVWs68ntdiM1NRVlZWXYunUr1q1bR1xPK0DMUl1LSkrwyiuvIDMzE2+++SZuueWWhApwI8SPyclJTExMBK02BLqibrrpJoyOjsa0RI/BarWCpum4vDeDWq2GxWIJeyWnvLycFcaqq6uh1WoxOjoat/HFEyYviqwGEBKVUJ30MjIy4HQ6iRhFIBAIcYLD4UAqlbIxBow7yuv14sMPP5zzfI1GA4FAgIGBgWUdZyyQSCRQq9Xo6+uL+LWR5kXNDi/v6elhuzpHW6LHEFiqt2fPnnnFJqlUCg6HM0dUjAUZGRkxCbR3u93w+XzzilE0TbNiVGB4ebydUcDMdyM7OxudnZ2rRnzVarW46qqrWPdTa2srnnzySXzzm9+cU2La0dGBp556CldccQW0Wi02btyIe+65B5988knYgu0LL7zAmhbOP/98nHXWWbH+lVh8Ph/bjTI3NxdbtmzBxo0bUVhYSFxPCUBMWwylp6fj5ZdfxoYNG3DgwIGQByPCqQVN02hvb0dGRgZbaz06OorXX38dwMzObdu2bTEv0QNmDh4WiyWmB5BQCIVCSCSSsLupJCcnIzc3FwBQV1cHPp8Pl8u1rIGAsYJ00iMkMjRNs2V6gSufRqORLTElYhSBQCDEh3Bzo4D/dNbr7OxET09PzF038cZoNMJsNsPr9Yb9GqYD11I66QXmRUUbXs4QbqkeRVFxK9VTKpUQi8VLLtlcrJOe2+0GMFNmuZAziqbpmDujgJlzAaZEcLVBURRyc3NZ99Po6CiqqqrwP//zPzj77LNZQROY+fsdPnwYv/3tb3HuuedCrVZj+/btePjhh3HixImQpYputxsPPPAAezvQIRUP2traIBAIUFhYCI1GEzR+wsoT837XCoUCzz33HC666KKErpUlxIbh4WG43W6kp6ez97344ovsQeCGG27A9PR0zEv0aJpGa2srMjMzwePx4i70RJIbFRhi7vf7cezYMSiVylVZqkc66Z1+0DQNn88Hl8sFq9WKyclJjIyMYGBgIOE+wx6PBz6fb44zKi0tjd3fEDGVQCAQ4gOTGwXMRHYw4v++fftCngNotVqUlpZiaGgIhw8fxujo6Ko5V1AoFJBKpRGJKNPT0+DxeGyTjXBYqJPeUp1RAHDVVVex1xcq1YuXGEVRFOuOWoogGU4nPYFAAA6HE+SMmi1GMSX9sW6ARFEUcnJy0NPTw54TrVa4XG6Q+2liYgJ79+7F7bffjtLS0qDn2u12vPvuu/jZz36GdevWQa/X49prr8Vzzz3HCnPPPPMMO2fbvn07Nm/eHLexj4yMYGRkBEVFRcT9lKBEVRDZ1NS04OMCgQCPPvooampqVt3KByF8fD4fOjo6kJ2dzZal0TQdVKK3c+dOjI6OLnk1ZzYjIyOw2+0oKSmBzWbD1NRUXB1SarUazc3NoGl60Z2ZVCpFXl4ee7uqqgrXXXcdhoaGYDQa4zbGeEA66a1eGFHJ6/XC4/FE9JPZb/N4PPB4PPD5fPB4PExNTaGysjKiiXU8cTgcEAgE4HK5QWKUTqcDl8sFj8ebd9WUQCAQCEtDJpOhpaUFNE1DLBbjnHPOwb59+2A2m3HixImQYdtKpRIVFRUYGBhAc3MzpFIpcnNz4+5yjwVGoxEtLS1IT08P69gSaV4UsxAUL2cU8J9SPY/Hgz179uDhhx8O+buoVCo0NjbC7XbHfFFSq9Wis7MTQ0ND0Ov1Ub1HuHlRABZ0RlmtVkgkkrjMFZRKJZRKJbq7u4POC1Y7SUlJ2L59O+uGHBwcxEcffYQPPvgAH3zwQZBgOzQ0hJdeegkvvfQSAKCwsDAouiSeWVFOpxPNzc0oKCggLvkEJq7pXBUVFfF8e8IK09fXB4FAgJSUFPa+Q4cOoaGhAQCwdetWpKamwmKxxNT+6vP50N7ejuzsbPB4PMjlckxPTyMtLS1m25iNQqGAx+Nhw5IXQiAQBK0UVFVV4Uc/+hFaW1vh8XhWlT3U7XZDLpev9DAIs3A4HBgfH19UWGJWnBkxafZPkUgU8n7m5+wJdGNjI3p7e5Gfn78Sv/YcmBI9AEFiVEpKCiwWC5l8EAgEQhyRSCSgKAo2mw1SqRQ7duxgu+nt27dv3s5vFEUhLS0NycnJ6O7uRm1tLfR6PTIzMxN6jqTRaMDj8TA8PAydTrfo86empqDVasN+f7vdzh6DGRhnlEwmQ3Z2duSDnoVSqcQFF1yAvXv3sqV6oZwpAoEAMpkM4+PjYf2ukcC4o7q7u6HT6aJyrNjt9gXn/aHEKK1WO+d8JNZ5UbPJyclBTU0NDAZDzN1XiYJOp8O1116La6+9FjRNo6mpiRWmPv3006AM6UBDy9e//nVUVlbGZUw0TaOxsRHJyclxzRUmLB0SFU+ICrfbjZ6eHpSWlgYdRHbt2sVe/+53v4uRkZGYl+h1d3dDKBSyHUUUCgXa2tpi9v6h4HK5UCgUGB8fX/RgQlEU1qxZg6SkJNhsNlRXV0MoFEIqlWJsbCzmB/V4Qsr0Eo+RkRE0NzdDJpNBIBCAz+dDJBJBJpOFFJRCiUrRYjQaceTIEWRmZibE5yJQHGYmm2KxGElJSbBarUSMIhAIhDhCURRkMhm76Dg7N+quu+5a8PV8Ph+5ubnQ6/Vob29HVVUVsrKygkqtEwmKopCeno7e3l6kpqYuOEa/34+pqSk2QzQcGGGEed/x8XH09PQAANatWxcz985VV13F5nq9+uqr85ZJMaV68Zi3pqSkoLOzM6oGR+F20hMIBHC73Wx5WKjwcqvVGvNM20AkEgl0Oh06OjpQUlISt+0kChRFoaioCEVFRbjtttvg8XhQVVWFDz74AB9++CGqqqrYPM/A3KhYw5RHrl27Nm7bIMSGsMSou+++GxRF4Sc/+Qm0Wi3uvvvusDdAURR++9vfRj1AQmLS1dUFlUoVFMo4NTWFV155BcCMQPTNb34TR48ejWmJnt1uR19fHzZs2MAerOVyORwOR9xdR8xBOTAfaz4UCgVKS0vx5Zdfoq+vD2azGRqNZlWKUaRMLzHw+/3o7OyE2WxGQUFBkCNxuZBKpVAqlejr64vJCu1SsdvtkMlkoGmadUaZTCa43W7QNE3EKAKBQIgzTIi5Xq9HTk4O8vPz0dLSgoMHD7JlaouRlJSE0tJSjI+Po62tDWazGbm5uVCpVPH/BSJEp9Ohq6sL4+Pj0Gg08z7PYrGAy+VG5IZZKLw8FnlRDOGW6qnVapw8eTKsiIpI4XA4MBqN6O7uhlarjej9GQf4YmJUUlISent7WZf47BI9YEYAjPe8PDMzE1VVVZiamoqos+KpAJ/Px9atW7F161bcf//9mJqaQnV1NYxGIwoLC+OyzenpaXR3d2PDhg1sjAwhcQlLjHrjjTdAURS++93vQqvV4o033gh7A0SMOvWw2WwYHBycU4b5//7f/4PD4QAAXHvttXA6neDz+TEt0Wtra4NOpwtaxeDz+ZBIJJienl5wYrBU1Go1Ojs74ff7F12dSkpKQlFREb788ksAM6V6F1xwAXp7e8N6fSJA0zTpppcguFwuNDQ0wOv1ory8fEWt3hkZGairq0NGRgZ4vJU11zocDqSkpGB0dJTd95hMJjidTiJGEQgEwjIgl8uDyqS3b9+OlpYW+Hw+fPDBB7jyyivDeh+KoqDRaKBSqdDf34+6ujqoVCrk5OQkTE4hMCOiGAwG9Pb2LjjnnJychEKhiEhksdvtQWJFrPOiGGaX6n355Zc488wz5zyPiWmwWCxxiWzQ6/Xo7u7GxMQE1Gp12K+z2WwQiUQLCg0ulwtqtRqtra3sfbOdUT6fb9Eg9FggEAhgNBrR3t4etJh+OqJQKNiOjvHA6/WioaEBWVlZcXW8EWJHWGcSv/vd7wCAtVEytwmnJ+3t7UhLS5tzQjy7RG94eBgpKSkx2+mOjY3BYrGwneoCkcvlmJqaiqsYJZFIwOfzMTU1tehqHRPIyVBVVYVvfOMb4PF4mJycjOigu1IwmUOJUI51OjM5OYmGhgaoVCrk5+ev+CqPQqGARCLBwMDAigby0zTNZkY1Njay95tMJrhcLtYGTiAQCIT4IZPJYLPZ4PP5wOVysWPHDjz66KMAZkr1whWjGBjHTGpqKjo7O3H48GGkp6cnxAIIQ1paGnp6ejA9PT2vSDM1NRXxXM9mswXlIMXLGQUEl+rt3r07pBhFURRbFRAPMYrL5cJgMKCnpyeiv1U4AhLj7F8ovJzJ6FqORVej0Qiz2YyRkZEVcbafLrS2tkIsFodVxUJIDMLaq1922WUL3iacPoyPj2N6enqOIHTkyBEcOXIEAFBeXo7S0lIcPHgwZis5fr8fra2tyMrKClmKJ5fLMTw8HJNtzQdFUVCpVBgfH19UjEpKSgqyn1ZVVbGrfmNjY6tCjHK73eDxeCsufpyu0DSN3t5edHV1sZkaibCaRlEUjEYj2traYDAYVszl5/F44PP5IBaLg1blGWeU3+8nYhSBQCDEGaFQCD6fD6vVCoVCgbPOOgsSiYRt8R6tG1wgEKCgoABpaWloa2tDdXU1srOzF81qWg74fD70ej16e3tRXFw853GapjE1NRVRObvf74fT6Qxa6GXCy3k8HtasWbP0gQcQSalef39/yBK3WMC4zBYS9mazWF5UoLN/sU56gRld8YTL5SIrKwudnZ3QarWrokJitTE0NITx8XFUVFSs+D6CED7km0AIG5qm0d7eDpPJNEcQevrpp9nr3/3udzExMRHTEr3e3l724B8KhUKB6elptiV9vFCr1ZiYmFj0eRwOB+np6ewKV01NDXw+H7RaLUZHR9n69USG5EWtHB6PB3V1dTCbzdiwYUPChbkyE6l4C8AL4XA4IBAIwOVyg8SotLQ0+P1+cLlc8vklEAiEOMOEmE9PTwMARCIRzj33XAAzLd8D3T3RIJPJsH79euTm5qKzsxNHjhxht7WSpKenB5WIB2KxWEBRVETlXw6HAxwOhz1uOZ1O1vW7Zs2amB/PlEolLrzwQgBgS/VCoVarYbFY4PF4Yrp9Bj6fzzrNwmUxZ5TX64Xf74dQKERnZyd7/+wyPaYL5HKh0+nA4XBgNpuXbZunCw6HAy0tLSgoKCBzv1UGEaMIYTM4OAi/3w+DwRB0v81mwz//+U8AM6Vs11xzTUxL9JxOJ7q7u5GXlzfv+0kkEnA4HNhstiVvbyFUKhWsVivcbveiz5VKpWxbY6vVisbGRiiVSni93riPMxaQTnorg8ViQW1tLYAZl2Ei1rwzbZl7enpWTFgN1UkPANsmWigUkpVHAoFAWAbkcjksFgt7O7Cr3r59+5b8/hRFISUlBRs3boRGo8GxY8fQ2NgIl8u15PeOFpFIhOTkZLZTWyDR5kVJJBL2NXV1dfD5fABiX6LHEFhCuXv37pDPEQgEkEqlGB8fj8sYgBlhb3x8POy5cTid9Bhnf+D8wGQyBT2PcUYtFxRFITs7G11dXfB6vcu23VMdmqbR2NgInU4HrVa70sMhREhYZXpvvvnmkjbyjW98Y0mvJ6w8Xq8XnZ2dyMvLm3OCt3v3bnaV6uqrr0ZSUhLGxsZiVqLX3t6OlJSUBe27FEWxuVHxPHnn8/mQyWRhtbqVSqUoKipiJ2JVVVUoKSmBWq3G6Ojosq7GRAMJL19eaJrG4OAgWltbYTKZkJGRkVBuqNkweR6LdRSKF3a7nQ21DXRG6XQ6TE5OkhI9AoFAWCZkMhkGBgbY24Fi1N69e3HPPffEZDtcLheZmZnQ6XTo6OhAdXU1MjIykJ6eviKRAkajEUePHkVmZmZQxcDU1FRYXQQDmS2whBte7na7MT09HdVJeCSleuPj40hNTY14G+EgFAqRmpqKnp6ekLmwgbjdbng8nkXFKGb+yjijdDpdUBA+TdPL7owCZv6WUqkU3d3dyMnJWdZtn6p0dXXB5/MlRJdnQuSEJUbdddddSzopImLU6qe3txdisTjkwW52id74+Di7krJUxsfHMT4+jk2bNi36XLlcvizWbeagvJgYlZSUhLy8PPZ2VVUVbr75Zmg0mrjW38cKUqa3fPh8PrS2tmJsbAylpaUJ2c56Nkwpak9Pz4qIUQ6HgxWeGTGKz+dDoVBgamqKiFEEAoGwTMhkMjidTng8HvD5fGRlZaGwsBBNTU348ssvMT4+HtOsTJFIhDVr1mBqagptbW0YGBhATk4OtFrtsi7iyGQyKBSKoDkdkxcV6RxvdukZkxcFLOyMMpvN6O7uxhlnnBHxnI0p1XvnnXcW7KqnVqtRX18Pmqbj9vfNyMjA4cOHkZWVteDx2263QygULhhmz8xfnU4nK5LO/n8wotZyOqOAmcXznJwcHD16FAaDgcxVlsjk5CR6e3tRVlZGMm5XKWGJUd/4xjeWfYXe7Xbj0UcfxVtvvYXp6WkUFBTgxz/+MbZs2RLR++zcuRMHDx7Etddei1/+8pdxGu2pjcvlQm9vL9avXz/nc9DQ0IADBw4AAIqLi3HGGWegsbERycnJS/7M+P1+tLW1ISsrK6xyMYVCgcHBwSVtMxzUajXq6uoWPShLpVKYTCZwOBz4/X5UVVUBADQaDZqbmxNe7HG5XAnv3joVsNvtqK+vB4/HQ0VFRUJ/JmaTlpaG7u5uTE1NBbWjXg4cDgfbkYYRo4xGI5trQSZ4BAKBsDzw+XyIxWJYLBZWdNqxYweamprg9/vx/vvv41vf+lbMt6tQKFBWVsa6ivv7+5Gbm7uscxej0YjGxkYYjUZwuVxYrVbQNB3xGOx2e1CXtUBnFBP5EIqJiQlwOBz09fVF5bS58sor8c477wCYv6ueXC6H3++H1WqNW/WBWCyGRqNBb29v0ELubCLppBfomp4tRtlsNojF4hURMGQyGZKTk9HZ2bmoE4wwPx6PB42NjcjJySHnK6uYsMSo3//+9/EexxzuuusuvPfee/j2t7+NzMxMvPHGG7jlllvw/PPPo6KiIqz3eP/995ccnEiYOdHTarUhy+QCXVHf+c534Pf7MTY2FpP69v7+flAUNSejaj6Ylbl4izwymSysg7JAIIBcLkdRURHq6+tRV1cHm82GpKQkaDQatLa2ori4OGFLsUiZXvwZGRlBU1MT9Ho9srOzVzTjyOPxYHBwEH19fejv72cvgbc5HA6eeOIJnH/++QBmOvykpaWht7d3WcUomqbhcDggFosxOTmJqakpADOTTafTCZqmiRhFIBAIywjjTmfEqO3bt+ORRx4BMJMbFQ8xCphxmuj1eiQnJ6O7uxtHjhyBTqdDZmbmsuReqlQqCIVCDA4OwmAwsIszkcztaJpmM6OAGbf08ePHAcyEbs9X8ufz+dgO183NzcjIyAjZcXohAkv1du/eHbJUj8PhsN2k4xmFkZGRgaNHj8JkMs37v1ssLwqYEaNEIhGam5vZ+2aHly93XtRssrKyUF1djfT09ITMBk10aJpGS0sLpFIp2yyKsDoJS4xabk6cOIF33nkHd9xxB26++WYAM+6sr33ta3jooYfw8ssvL/oeLpcLv//97/Gd73wHf/7zn+M95FOa1NTUkDt+l8uFF154AcCM8HL99dezJXpL3cG7XC50dXWhtLQ07AM6j8dDUlISpqenkZycvKTtL0S4B2Wmk8r69etRX18Pv9+P2tpanHXWWSgoKEBtbS26u7sTtlwv0Z1bqxm/34/Ozk6YzWYUFhbG9fMKzISihxKXAm8PDQ2FFUb+05/+lJ0kAzPBo1VVVazQuhx4PB74fD6IxWLU1dWx95tMJrhcLvj9fiJGEQgEwjIik8mCug1v27YNSUlJsNls2LdvH/x+f1wXXHg8HnJycqDX69He3o7q6mpkZmYiLS0trtulKApGoxFdXV1IS0vD5ORkxHlRzCIKk2nU3t7OhnkvlBfF5COmpKTAbDZHFQERWKrX398/b6meRqPB4ODgnBDwWCKTyaBUKtHf3z9HPGKY7SALhcvlglwuDwovD+WMWkk3jUgkgsFgQHt7O9atW5ewC9OJyuDgIKamplBRUUH+dquchBSj3n33XXC5XFx99dXsfUKhEFdccQUeeeQRDAwMQK/XL/geu3btAk3TuPnmm4kYtUTmczy8+eabGBsbAwBcfvnl0Gg0aGhoiEmJXkdHBzQaTcQHdCYvJt4n92q1GsPDw4selKVSKdasWcPerqqqwllnnQU+n4+SkhIcPXoUMplsRTJ3FsLv98Pj8ZBuenHA5XKhoaEBXq8X5eXli67wLYTf78fw8PC8TibmdmCXo2hhyk1PnDiBtrY25ObmApjZN6ekpKC3txeFhYVL3k44OBwOCAQCcLncIBu+yWSCw+GAz+cjYhSBQCAsIzKZDN3d3WyEgVAoxHnnnYe3334bIyMjOHLkSNiVDUtBIpGgtLQU4+PjaGtrg9lsRm5ubkwzq2aTnJyMjo4OjI6OYnJyEhkZGRG9fnYnvXDzoiYmJtiMSZPJhPr6erZcMBLCKdVTq9VoaWlhc8HiRUZGBurq6mA0GkPmQoXrjBIKhWx4ORDaGbXSnddMJhOqqqpWrBHMasVut6OtrQ3FxcXkPOUUYMlilN1uR09PD1sjHYrKysqI3rOxsRGZmZlzFOu1a9eyjy8kRpnNZuzatQu//e1vyQlJHNm1axd7/Tvf+Q58Pl9MSvQmJycxOjqKjRs3RvxauVwOs9m8pO2Hg0qlQmtrK7xe74IhilKpdE6IeeBjBQUFaGxsRFlZ2ZJEiVjjdrtBURTZyceYiYkJNDQ0QK1WIz8/P6qsAqvVip/97GfYt28fzGbzktsDczgc6PV6GAwG9pKenh5022Aw4IknnsAdd9wBAHjttddw5513su+RkZGBmpoaZGVlLYubzuFwsN+XwJXP9PR0uN1ucLlc4uojEAiEZUQqlcLr9bIlUsBMbtTbb78NYKar3nKIUQxqtRoVFRUwm82oq6tDRUVF3OZZTEOPtra2qPKiou2kNzExwTp+lEolxGIxzGYzjEZjRNsPp1RPKBRCIpFgYmJiUWfSUlAoFJBIJDCbzXNEPY/HA7fbHXZm1HzOKL/fD7vdvuI5QzweDyaTCR0dHVCr1cThEwZ+vx8NDQ3Q6/VxFZgJy0fUYlRvby9+85vf4IsvvoDf75/3eRRFoaGhIaL3HhkZCelsYe4bHh5e8PW///3vUVRUhK9+9asRbdftdsPtdod8zG63R/RepzodHR346KOPAAA5OTk4++yzMTY2tuQSPZqm2db20ZxMKhQKNDc3x90OLhaLIRKJMDk5ueDKSlJSElJSUiCVSmG1WoPEKABISUmBxWJBfX19QnWCcLlcEAgE5MAYI2iaRk9PD7q7u5Gbmwu9Xh/V39btduOKK67Ae++9F9bzJRJJSGEp8L7U1NQFBVWGyy+/nBWj9uzZEyRGSSQSqNXqqANUI8Vut7PlDIHOqLS0NPj9fiQlJa1o/haBQCCcbnC5XDYqgRGjtm/fzj6+b9++ZW8kxIhEExMTGB0djdixFAl6vR7d3d2Qy+URH38C86KA8JxRLpcLNpuNrSCgKAomkwktLS0wGAwRjSHcUj2mm3Q8xSiKopCRkYGWlhakp6cH/R52ux0CgWDBOYvX64XP5wtyRjHvGfg+HA4nIQwLaWlp6O/vx+Dg4KJVPwSw/9Ps7OwVHgkhVkQlRg0PD+Pqq69md0iMI2b9+vXo7u7GxMQEKIrC+vXrwzrJmY3T6QzpyGDECafTOe9rv/zyS7z//vt49dVXI97uU089hcceeyzi152O/P3vf2evf+c73wGHw8HIyAhSUlKWJGAMDAzA7/cjPT09qteLRCLweDxYLJa4Byqr1WpMTEwsKkYBQFlZGT7//HP09fXBbDYHhe1lZ2fDYrGgqakJa9asSQgBiBGjCEvH4/GgqakJNpsNGzZsiDqo0u/3Y+fOnawQJRKJUFhYOEdsCrwdaYjqQmRnZ6OsrAxHjhxBTU0Nurq6glYajUYjTpw4AZPJFNV+PxIcDgf7dwwUo1JTUzExMZEQE0wCgUA43ZDL5bBYLKxYkZGRgeLiYtTX16Oqqgqjo6MrUhql0WgwNDQUVzGKx+MhKysrquOf3W4PcnkwziiNRjNvE5+JiQnIZLKgkjmNRgMej4fBwcGIQ53DLdVrbGxctJv0UtFoNODz+XN+j3CyKd1uNzgcDng8HuuMSktLC1rgZt4nEebbHA4HWVlZaGtrQ0pKSsIsSiciExMTMJvNKC8vJwuOpxBR/Sf/9re/YXx8HLfeeis+//xznHXWWaAoCi+//DIOHTqEXbt2IS0tDSKRCM8++2zE7y8SiUI6lFwuF/t4KLxeL37zm9/g0ksvZUv6IuHWW29FbW1tyMs//vGPiN/vVMXr9bL/Vy6XixtvvBE+nw+jo6NLymry+/3o7u5GVlZW1DsZiqKgUCgwPT0d9TjChQkxXwgOhwOJRBLUlre6ujroORRFYc2aNZienkZvb29cxhoppJNebLBYLKitrQUAlJeXRy1E0TSNn/zkJ3jppZcAzOwDP/jgAxw9ehT/+te/8Ne//hX33nsvbrrpJlx44YUoLi6GUqmM+UTriiuuYK+/9tprQY8pFApIpdJlKZNlOukB/ynT43A40Gg0oCiKiFEEAoGwAshksjnzL8YdRdM03n///ZUYFjQaDaanp+HxeOK6HcZtHAk0TQeV6Q0ODmJoaAjAjCtqvuN4YF4UA+MA6u3tDashSSBMqR4wI0aFqnpRKBTw+XxsuHq8YH6Pnp6eoN9jtoMsFEyJnt1uZytpZoeXr3QnvdkkJydDJBIlzDlAIuLxeNDY2IicnJyEijUhLJ2ozvj379+P1NRU3HbbbSEf37ZtG3bt2oXDhw/jmWeeifj9k5OTMTIyMud+5r757KFvvvkmOjs7cfXVV6Ovr4+9ADMqeF9fHxwOx7zbFQgEkEqlIS/kg/8f9u7di4GBAQDA17/+deh0OoyPj0MoFC5p5242m8Hn85ccPi6Xy9lW7/FEpVLB6XQu+JkCZtxRxcXF7O3ZpXrAzGevpKQE3d3diwpcywHppLc0aJqG2WzG0aNHodfrUVJSsqTAz9///vd49NFHAcwIwK+88gq2bt0aq+GGzeWXX85eny1GATOr4H19fQuWbi8VmqaDxCjGGWUwGODz+QDMv2BBIBAIhPjBOKMCBYQdO3aw1/fu3bsSw4JQKIRUKmWb7iQSbreb7Q4LBJfozZcXRdM0JiYmQmbmpKSkgKbpkOdRC8GU6gFgS/Vmw+FwoFQql2WeypzrBUazhOOMYuavga7p2eHlK91JbzYURSEnJwe9vb3zxsWcztA0jaamJsjlclLKeAoSlRg1MDCAoqIi1krIqPaBQbrZ2dmoqKjAv//974jfv7CwEF1dXbBarUH3M+3Ei4qK5h2Xx+PBNddcg/POO4+9ADNC1XnnnYcDBw5EPB5CMIHB5d/97ncBzBwsllKi5/P50NPTg8zMzCW7OeRyOaanpyNeFYoULpcLhUIR1Mo4FFKpFPn5+eztUGIUMLOimJeXh4aGhkUFrnhDyvSix+fzoampCZ2dnSgtLYXJZFrSZ/rpp5/Gf//3f7O3d+3ahUsuuSQWQ42Y/Px8lJaWAgAOHTrEiv0MarWatdbHC4/Hw07cbTYbRkdHAcx0pXG5XKBpmohRBAKBsAIwHeECnTNbtmxhT/zfe+89dtFgudFoNAkpRjEZiMw5VTjh5Xa7HV6vF3K5fM5jHA4HRqOR7WwYCVdddRV7fb64EyY3Kt5QFAWj0RjkjorEGTVfeDmQeM4oYMZ1plKp0N7eHtcFvdWI2WyG1WpFQUFBQpRWEmJLVGIUj8djFXwA7I5h9km5RqOJynJ48cUXw+fz4ZVXXmHvc7vdeP3117Fu3TpWFTWbzWhvb2efs2PHDjz++ONzLgDwla98BY8//nhU5XuE/9DX18eubKWnp+Oiiy5iM8OW4mjq7++HUCiMSWtTmUwGj8ezYLZYrAinVI9x1jE5WIcPH553MqbT6ZCamor6+voVm7ABpEwvWux2O44cOQKn04mKioo5FvpIefPNN3Hrrbeyt3//+99j586dSx3mkggs1Xv99deDHmMmj9GUCISLw+GAUCgEl8tFT08Pe7/JZILT6YTf7ydiFIFAIKwAFEVBJpPBYrGw9wkEAlxwwQUAgNHRUdTU1KzI2DQaDcbHxxPuRH92J71wwssnJiagVCrnjbTQ6XTweDwRi0aXXHIJ6+Les2dPyL+VRqPB1NTUkjv5hoNOp4Pb7cb4+DjbqTFcZxQTdA0EO6OYjnyJ5IxiyMnJgcViwcGDB9Ha2jrHlHE6YrPZ0NHRgaKioiVVGBASl6jEqJSUFLZMCwB7kl1XVxf0vNbW1iDRKlzWrVuHiy++GI888ggefPBBvPLKK/j2t7+N/v5+/PznP2efd+eddwbZf3NycnD++efPuTBjPP/88+PaAeJ04Nlnn2UPTjfddBO4XC7Gx8chEomiXmXwer3o7e1FVlZWTBRvLpcLqVS6LLlRTIj5QpObpKQkOBwOVFZWAphZkWlqapr3+Tk5OeByuWhpaYm7u2s+iDMqckZGRlBbWwu1Wo1169YtWcz7/PPP8a1vfYv9bN1+++1sN7uVJFCM2rNnz5zHU1JS4Pf7WcdSrAnspDd75ZOIUQQCgbCyzBajgLld9VYCqVQKHo+HycnJFdn+fMx2+zDOKJFIFOSqDyRUXlQgXC4X6enpEbujwinVE4lEkEgky+KO4nK5rDvKbreDz+cvKkgs5oyyWq0QCoVxb7QSDWKxGJWVlSgpKYHP58ORI0dQW1sLs9m8LOJfouH3+9HQ0ACDwcB2jSScekQlRhUXF6Ojo4P9YpxxxhmgaRoPP/wwq+T+9a9/RUtLCwoLC6Ma2IMPPohvf/vbePvtt/E///M/8Hq9+Otf/8qe0BOWH7/fz3bRoygKN910E4CZEr3k5OSohaT+/n6IxeIlu0gCWa4Qc6lUCg6Hs+C2BAIB+Hx+kN16vlI9YMZiXVxcjImJCfT398dyuGFB0zTJjIoAn8+H1tZWNDU1obCwEDk5OUvu8nHixAlccsklbNOG6667Dg899NCy25Npmobb7cb09DSGh4cxOjqKNWvWsPv1/fv3zynJY1ppzw4ejRWh8qKAmbwqu90OLpdLPrsEAoGwQjBRCYEEilErlRtFUVRClurZ7XZ2MddisaC1tRUAsHbt2pCCid/vx+Tk5KJz5rS0NNjt9ogzVMMp1dNqtXFbcJpNWloarFYrzGZzWIvezGJqoDMqUIxKtLyo2VAUBaVSicLCQpx55pnQ6/UYGBjAwYMH0dTUhKmpqRVbqF5u2tvbweFw5pRZEk4tojpj2rZtG6anp/HFF18AmMl4Ov/889HW1oZLLrkElZWVePTRR8HhcPCDH/wgqoEJhULceeed2L9/P06ePIk9e/Zg27ZtQc958cUX0dzcvOh7NTc345e//GVU4yD8hw8//JA9+bvoootgMpmWXKIXa1cUw3KFmFMUxbqjFnqOVCpdNMQ8ECbQvKOjY9lX8Xw+H/x+PzmhXwQmILS6uhpWqxXl5eVLDt8HgM7OTlx00UXs53f79u145pln4tLGlqZpeDweWCwWjIyMoLe3F62trTh58iQOHz6M/fv34+DBgzh58iR6e3vZ8lHGHUXTNN54440576vX6+FwOOLyHZxPjEpLS4PH44FEIiEtfwkEAmGFkMlksNlsQVED6enpbN5gTU1NUCj1csKIUYl0Mh9YpnfixAn2/vnyoqanp8HlchcVZng8HgwGQ1A5eziEW6o3Nja2LCWPzO8xODgYVjOp2c4oJkOLIZwQ9ESBx+MhLS0N5eXlKCsrA5fLZednp3rY+djYGAYHB7FmzRoypzvFieq/+9WvfhWfffYZNm7cyN73xz/+Eddddx00Gg24XC7y8/Px6KOPory8PGaDJawsgcHl3/nOdwDM7CyWUqLX29sLqVQaU1cUMOOMslqty5K7FE5uVFJSErKzs9kd6mJiFDAjqOXm5qK+vn5Z8q8YXC4XOBwOG6ZJmIvD4cDJkyfR0tKCrKwsrF+/PiYdN4eHh3HhhReybqMzzjgDu3fvXlKdvNfrhdVqxejoKPr6+tDW1oa6ujpWbDpw4ACOHz+Onp4eTE9Pg8PhQK1WIzs7G2VlZdi2bRu2bNmC8vJyiEQiTE5OLlqqF+0kOBwCxahAG75OpwNFUVGVhhMIBAIhNjAlULPzbphYDZqmo2puFAtUKhXcbndQwPpK4vF42EUUIPy8KJVKFdYCrsFgwOTk5JyyyYWYXap36NChOc+RyWTLWvKYnp4ODoez6LmG3++Hx+MJyoxKT08PmkNZrdaEdkbNh1QqRV5eHjZv3gyTyYSxsTEcOnQIdXV1CSewLhW3242mpibk5eWROd1pQFQFszweD6mpqUH3icVi/OIXv8AvfvGLmAyMkFgMDw/jrbfeAjCTCfP1r38dwExOTrQleh6PB319fXEJlRcKhRAKhZieno650DUbtVqNpqYmeDyeeUUDqVQKi8WCkpISnDhxAidPngxrdSYtLQ0WiwX19fXYsGHDsqwOMKtKpGPFXPx+P3p7e9Hd3Y3U1NSYBipOT09j+/btaGtrAzDTNfTf//73op8Rn88Hp9MZdHE4HOx1r9cLLpcLsVgMkUgEkUgEpVIJnU7H3g43O4ERXteuXYvc3Fy0tbXh008/ZfcDgRgMBnz55ZcxnfjRND2vMyo5OZnNryMQCATCykBRFORyOSwWCxQKBXv/9u3b8Yc//AHATCfmjz76CP/93/8d5BqPN8xiy9jYWEIIEna7HQKBgD0Gh9NJb2JiAmlpaWG9v0AgQFpaGnp6eiL6O1911VV45513AAC7d+/Gli1bgh5nSh5HR0ehVqvDft9oEQgEWLNmDWQy2YLPc7lcoCgKTqeTXSQODC+naXpVOaNCweVykZqaitTUVDgcDgwODqK5uRkURUGn00Gn061qAYemaTQ2NkKlUs3RGginJsT3RgiLF154AR6PBwBw4403QiAQsCV60YbC9/b2Qi6XB01WYkmo3IJ4IBAIIJVKFyzVk0qlsFqtbOaZ3+/HCN4HxwAAhUJJREFUkSNHwnr/vLw8UBS1bIHmpJNeaCYmJlBTU4ORkRGsW7cOBQUFMROiXC4XLrvsMvYzkZ6ejvfee2/e7pJMWPqBAwfwxRdfoLa2Fh0dHWynIIVCAZPJhHXr1mHLli3YunUrKioqUFJSgtzcXKSnp0Or1bKBruHCtHSmKAqXX345gJnPMiNUByIQCKDT6aLqqDofHo8HPp9vjhiVmpoKiqJAURQRowgEAmGFkclkc+ZfZ555JoqKigDMHDdeeukllJSU4PLLLw97PhQLEik3arYwwjijOBxOyIVar9cLi8US0SJreno6xsbGYLfbw35NOKV6Wq12WR05Wq120bmp2+2GQCAIcmUH5g05HA4AiImTPREQi8XIysrC5s2bkZ+fD5vNhurqahw/fhzDw8MJ1zkyHPr6+uBwOJCfn08WxU8TiBhFWBSapvH000+zt2+++WYA/ynRi2an7na70d/fH7RiEWsUCsWy5EYBi5fqSSQS+P1+lJWVsfeFU6oH/CfQfHx8HGazecljXQzSSS8Yt9uNxsZG1NXVQa/Xo7y8PKYCqs/nw3XXXYePP/4YwIzg8/777wdlHATCdGPU6XQoLS3FmWeeiW3btqGyshKlpaXIy8uD0WhEcnIyZDIZ+Hx+zA7oKpWKdV4tVqoHAEajEcPDwzErM7Xb7RAKheByuXC5XOz3wWQyweVygaZpIkYRCATCCsM4owLh8/n48ssv8dvf/hZarZa9//XXX0d5eTm++tWvhiwJizUajQYWiyUh8nYCO+l5PB62K3l+fn7IufXk5CTEYnFEC4YikQgpKSkRlc0rlUpcdNFFAOYv1VMqlWwMQKLAOPsDw8sDzzOYfK5TTeRgnGolJSXYvHkzVCoVOjs7cfDgQbax2GrAYrGgs7MTRUVFCdntkBAfov5Pe71evPvuuzh06BCGh4fZrk+zoSgKzz//fNQDJKw8+/fvZ4Piv/KVr7CtZpdSotfT0wOlUgm5XB7TsQYil8vR1dUFmqbjfuBRq9VobGycd1scDgcSiQQlJSXsfeGKUcBM2eGaNWtw4sQJSKXSuLnJAJBOev8/NE3DbDajs7MTKpUKGzdujPnfhaZp/PCHP2TFHIlEgnfeeYddPZ6N1+tFfX09jEYjDAZDTMcSDlwuFwqFAuPj4ygvL4fJZEJ3dzc++ugjjI+Pz7Hri8ViaLVa9PX1ITc3d8nbDyzRC3RcZWZmwuVywe/3EzGKQCAQVhiZTAaHwzEnvkAul+Puu+/Gbbfdhr/97W/44x//iIGBAQAzXfb27t2Lc889F7/4xS9w9tlnx2XuxrjZx8bGoNfrY/7+kWC321kHdGNjIyuQzZcXNT4+HlX0REZGBmpqapCZmRn2MfLKK69ks71ClepxOBy2VG+x8rnlYnZ4ORDsjFqteVGRIBAIkJGRAaPRiKmpKQwMDODIkSNISkqCXq9HSkpKQgo9Pp8PjY2NyMjIiOs5DiHxiMoZNT4+jiuuuAI///nP8dprr+GLL75AdXX1vBfC6iYwuPy73/0uACypRI9xNMTTFQXMlMb5/X7WlhtPFAoFvF7vgjZoqVQKg8HAHggjEaOAmVWonJwc1NfXzyv+xgJSpjezOnPkyBH09fVhzZo1KC4ujsvf5Ne//jWefPJJADNZfHv27MEZZ5wR8rk0TaOpqQlisRgmkynmYwkXpnskRVGsO8rr9eLtt98O+fyMjAwMDAywZb5LYb68KJPJBIfDQZxRBAKBkADw+XyIxeJ5g7OTkpJw++23o6OjA0888QQyMjLYxz7++GOce+652LJlC/bu3RuXMjCmxGylCSzTCzcvKhoxSiKRQKPRRFQ2H26p3ujoaMTjiRehnFGBYtRqz4uKBIqioFQqUVRUhDPPPBN6vR4DAwM4ePAgmpqaMDU1lVCh521tbeDz+Ss6vyWsDFGJUX/84x/R1NSEjIwM3HXXXXjyySfxwgsvhLwQV9TqZmJiArt37wYwI4Z885vfBLC0Lnrd3d3QaDRxX53gcDiQyWTLUqrH4XCgVCoXLNVLSkqCw+FARUUFgBlnR6RibVpaGlQqFerr6+NWC346l+l5vV60trbi6NGjUKvVqKioiFs455NPPon77ruPvf3cc89h+/bt8z6/t7cXVqsVRUVFK2oxZ8Qov9/P5kYBwGuvvRby+TKZDHK5HP39/Uve9kJilN1uB5fLPe2FVAKBQEgEZDLZol3cRCIRvv/976O1tRXPPPNMkIP20KFD+OpXv4ry8nK8/vrrMZ3zaDQaNmNxpfD5fHC5XGw5XqAYFcoZxTQlUSqVUW2PWRgKtzwxnFI9tVoNu92+LIu+4RDKGRW48H06OKNCwePxkJaWhvLycpSVlYHL5eLkyZM4fPgwent7V7xkdWRkBCMjIys+vyWsDFGJUZ988gm0Wi1eeeUV3HjjjTjnnHOwcePGeS+E1curr77K5r1cf/317Ing8PBwVK4op9OJwcHBoJWKeKJQKJYlxBz4T7jzfEilUthsNlx11VXsfT/96U8jWpmgKAr5+fnw+/1s17VYczqW6dE0jaGhIVRXV8Nut6OiogJZWVngcrlx2d7u3bvxgx/8gL39yCOP4Nprr533+ZOTk+jq6kJxcXHMQtOjJSkpCVwuF9PT09i0aRNbLvj+++/PK/wajUb09/fD5/MtaduBYlTgZNNoNMLhcCApKWlZOk4SCAQCYWEiaSIjEAiwc+dONDY24qWXXgrq/Hb06FFcfvnlKC0txUsvvQSv17vksSUlJYHP5y/YeCbe2O128Hg89pjOhJcDwLp16+Y8f2JiAnK5POoSK5lMBqVSib6+vrBfc+WVV7LXmYXpQHg8HpRKZcK4o2Y7o3g8HjtH8Xq9cDqdp40zaj6kUiny8vKwefNmmEwmjI2N4dChQ6iurkZDQwN6enowNjbG5nDGG5fLhebmZuTn5xNn+2lKVLN2l8uFsrKyqNV5wuqBmUhwuVzccsstAGZWc8bHx+e0cg+H7u5uaLXaZTsYyOXyZQsxV6vVmJqamveEWyqVwuFwYOfOnSgoKAAwk8f1+uuvR7QdLpeLkpISjIyMsFkLsYKm6dOuTM9ut+PEiRNob29Hbm4u1q5dG9dOKx9//DGuu+469iB/55134vbbb5/3+S6XC/X19cjNzU2IXAaKotjAfg6Hw7qj3G43my8xG5VKBaFQiMHBwai3S9M0HA4H+78JdEbp9Xr4/f5TpkMOgUAgrHYYZ1QkJ7Q8Hg/XXHMNTpw4gddffz2o6UtDQwOuvfZaFBUV4ZlnnlmSm4OiqBUv1WNKxiiKAk3TrDMqLS0t5GJvtCV6gWRkZKC/vz9sQe+SSy5hnfK7d+9O+FK92c6ojIwMdlHRZrNBIBCcts7/2XC5XKSmpmL9+vU444wzkJ2djaSkJFgsFrS1teHQoUM4ePAgjh07hra2NgwODsJiscTUTUjTNBobG6HVaqPuzE5Y/UQlRplMpph1RyIkNrfddhv+8Ic/4F//+hcbvh1tiZ7D4cDQ0NCyuaKAGTHKbrfHJK9mMcRiMfh8/rzil0AgAJ/Ph8vlwkMPPcTef8cdd0ScASUSibBmzRq0trbG1PnFTO5Oh4O1z+dDZ2cnampqIJFIsHHjRqSkpMTVIlxbW4tLL72U/TvfdNNN+N3vfjfv8/1+P+rr66HRaFY8aDWQQBdgOF31KIqC0WhEb29v1CttbrcbPp+PXTkLFKOY/xtZVSMQCITEQCqVwuPxRJVxyeFwcNlll6GmpgZ79+7F5s2b2cfa2tpw8803Iy8vD0888UTU5yMajQZjY2MrlpsT2Emvu7sbk5OTAEKX6NE0HRMxSqlUQiqVht2ZWalU4sILLwQAmM3mkKV6Wq0W09PTyzLPXghmMdVut7Pz8NM1LypShEIhtFotTCYTiouLsWnTJmzbtg2lpaVISUkBTdMYGBjA8ePH8cUXX+Dw4cOsi2p8fDxqF1Vvby9cLhfy8vLi8FsRVgtRiVFXXHEFqqurl7TKTVgdCIVC3HHHHUFZNtGW6HV1dSElJWVZ3QsCgQBisXhZSvUoigq7VO+rX/0qzjvvPABAR0cHHnvssYi3p1KpkJWVhfr6+pjVe7tcLvD5/FO+1GlsbAyHDx/G+Pg4NmzYgLy8vLh3F2ltbcX27dvZFruXXHIJnnrqqQXFr46ODvj9fuTl5SVUHb1KpYLVaoXb7caZZ56J1NRUAMC77747bwthZp8xMjIS1TYdDgeEQiG7ysmsfKpUKggEAiJGEQgEQgLB5XJZp0W0UBSF7du348CBA2ywOUNPTw9+8IMfICsrC4888ghsNltE761UKuH1eiN+XawIFKMWCy+3Wq3w+/0xcUdnZGSgt7c37LL5xUr1hEIh251wJXG73WwXZAaSFxU9XC4XcrkcaWlpyMvLw4YNG7BlyxZs2rQJWVlZkEgksFgsaG1tZV1Ux48fZ11UzGd2Pqanp9HV1YU1a9bELRKDsDqI6ozzuuuuw9lnn40bbrgBX3zxxYoGABKWF6/XG1WJnt1ux8jIyIp0SYgkt2CphCNGWa1WUBSFhx9+mBUYHnjggahszunp6VAoFDELND/VS/SYkjemfWxZWdmylL4NDAzgwgsvZIWYrVu34uWXX15QABseHsbg4CCKi4sT7kAtEAggk8kwMTEBLpfLNjZwOp3Yu3dvyNcw7qienp6oVtAC86K8Xi+be5GZmQmn00k66REIBEKCIZPJYjL/oigK55xzDj766CMcOHAAO3bsYB8bHBzET3/6U5hMJvz2t78NO5qBw+FApVKtWIlZoFMnMC8qlDNqYmICSqUyJguFarU6orL51VKqxyym9vT0sPcRZ1RsYRb9tFotMjMz57iokpOTWRfV0aNHWRdVY2NjkIvK6/WisbERmZmZCRE/QVhZot6r/frXv4ZQKMQtt9yCtWvX4txzz8V5550353L++efHcryEFWZsbAxisTjiHXpXVxdSU1PZk8nlZDlDzFUqFRwOx7y29KSkJNY5sm7dOuzcuRMAMDU1hfvvvz/i7VEUhYKCAni9XnR0dEQ/8P+fU7WTHk3TbPdCDoeDjRs3Ii0tbVncRpOTk7j44otZJ09JSQnefvvtBb8LNpsNzc3NKCwsXJHvTDhEWqoHADqdDi6XK6rQ2EAxymw2s6u6JpOJtYgTMYpAIBASB7lcviRnVCjOPPNMvPPOO6itrQ3q6Do2NoZ77rkHJpMJv/zlL8Ny6qxUbpTf74fT6QzbGRWLEj0GiqKQkZGBnp6esBYxwy3VGx8fX3KTkqXALKYy4eXAf8QomqaJMyqOhHJRbd26lXVRicXiOS4qoVAIo9G40kMnJABRiVEDAwP4xje+gdbWVtA0Da/XC7PZjP7+/pAXwqnDyMhIxK4om82G0dHRFXFFAf9xRi1HLgCPx4NMJpvXHcWU6TFjeeCBB1hh78knn0RTU1PE22QCzQcHBzE0NBT94HFqdtKbmppCTU0NBgYGUFpaiqKiomUT3BwOBy655BKcOHECwIxw8t577y04qfR6vaivr4fBYIBWq12WcUYDE2JO0zTOOussaDQaAMDevXtht9tDvobL5cJgMKC3tzfi7c3XSc9kMsHhcMDv9xMxikAgEBKIaELMw6WsrAx79uxBXV0drr32WtY1NDU1hQceeAAmkwl33HHHgg4gtVoNq9UaVa7VUnA4HOBwOOx8i3FGyeXyoNIyYEa4mpqaglqtjtn2k5OTweFwMDw8HNbzFyvVk0gkEAqFK9qdcHZ4OfCfMj2Xy0WanCwzC7mo1q9fj9LS0oSKnyCsHFGJUQ899BDMZjPKysrw2GOP4V//+hc++uijkJcPP/ww1mMmrBDRluh1dnZCr9ev2IkiI/YsVy7AQqV6EomEXREDZrqm3HnnnQBmArXvuOOOqLYpFouxZs0atLS0LGkVMlZlejRNY3p6Gv39/RgcHMTo6CgmJydhtVrhdDrh9XrjLg56PB40Nzfj+PHjSElJQUVFxbJ2APV6vbjmmmvwxRdfAJhZOXz//feRlpY272tomkZLSwuEQuGcCWmiIZfL4ff7YbVawePxcNlllwGY+Z699957877OYDBgamoq4s/pfJ30MjMzYbPZwOPxTjkhlUAgEFYzSUlJoGl63gWKWFBcXIx//OMfaG5uxs0338yWv9tsNvzxj39EVlYWfvjDH4YsI2NKzheKV4gHNpsNEokEFEVhbGyMXaBZt27dnFK8qakp8Pn8mLqkA91R4czFFivVY7oTrmSpHiNGhXJGWa1WSCSSUz4PdTXAuKgSLX6CsHJEldh78OBBpKWl4dlnnz0lS3oIoYmmRM9isWB8fBybNm2K48gWhqIoyOVyTE1NLYtFV61Wo6+vDzRNz1H9ORwOJBIJrFYrO7H46U9/iqeeegr9/f2ssMuEm0e63YyMDNTX16O8vBx8Pj/i93C5XJDL5RG/DphZvZucnMTo6ChGR0fh9/shl8vh8/ng8/ng9XrZCwOXywWPx2Mvs28vdD+XywWXy53zN6ZpGoODg+jo6IBcLsfGjRuXXQilaRrf+9738NZbbwGYccTt27cP+fn5C76uv78fU1NTKC8vT/gVIyZvY3x8HDKZDFdccQWefvppADOleow4NRs+nw+9Xo+enh4UFxeHtS2apoOcUYFiVEZGBhsESyaaBAKBkDhQFMXmRsU7ryc3NxdPP/007r33Xvzxj3/E008/DZfLBafTicceewy1tbU4cODAnGMrI6IsZ8fa+cLL58uLUqlUMZ8TpKamoqurC6Ojo4suMjOlev/+97/ZUr0tW7YEPUej0aC+vj7k3Hc5cLlckEgkrDNKIBCw/1OSF0UgJC5RiVFOpxObNm0iQtRpRjQlel1dXUhLS1txxwJTqmcwGOK+LSaMz2KxhBR2mFI95m8pkUjwu9/9Dt/+9rcBzIhTtbW1Ua0aZGRkwGKxoKGhAWvXro14QhCpM4pxy42OjmJsbAw8Hg9arRZFRUVQKBQhxQGapkMKVF6vd859jItq9v2BuQSzRSqv1wuPx4OCggJoNJoVmRT94he/wN///ncAM+LLG2+8gYqKigVfMzU1hY6ODqxbt27V7FvVajWGhoZgMplw7rnnQqVSYWJiAv/6178WLPk0Go2oqqoKEpgWwu12w+fzsaJioBhlMBgwMjLClgkSCAQCIXFgcqOWS+wxmUx47LHHcM899+Dhhx/Gk08+CbvdjkOHDqG2tnbOsVij0aCrqws+n2/Z3Bp2u50VR8LJi0pPT4/5GDgcDttURKvVLjpXuuqqq/Dvf/8bAPDqq6/OEaMUCgWAmbnMcrrQGVwuF5RKJStGmUwmdg5qtVpJUDaBkKBEJUbl5uaG3a2CcGrAiA7Z2dlhv2Z6ehqTk5MoKCiI48jCQ6FQLDlPKVwoimIdI/OJUbO/P9deey0effRR1NbW4vjx43j++edx0003RbXtwsJCHDlyBB0dHcjJyYno9eFkRrlcLoyNjWF0dBQTExOQSCTQarVYv349pFLpohMaiqJY4ShakZIRtGaLWUz5X0pKyopZgB999FH89re/BTDzu/7jH/9YtJGD2+1GfX09srOz2QndakCtVqO1tRVerxd8Ph+XXHIJnn/+eVgsFnzwwQf42te+FvJ1IpEIKSkp6O3tXdQtBsyU6AmFQvZ/GpgJkZqaipGREZIFQSAQCAmITCaLKidwqej1ejz00EMoLCzEd7/7XQDAP//5zzlilEQigUAgwOTk5LItathsNqSkpABYuJOex+OBxWKJWXj5bPR6Pbq7uzExMbFoJhVTqud2u7Fnzx786U9/ClpwpCgKGo0Go6OjKyZG2Ww2tknQ7E56Op1u2cdEIBAWJ6qahuuuuw6HDx9GS0tLrMdDSFCYEr1ITvg6OzthMBgSwuUhl8vhdDrhdruXZXtqtXreIMfAjnoMHA4HDz/8MHv7nnvumfOccOHxeCgpKcHAwEDY4ZQAWHEn1P/Lbrejp6cHR44cwZdffomhoSGoVCps3LgRlZWVyMrKgkwmWzYXEiNoiUQiSKVSKJVKaLVa6HQ66PX6FROiXnrpJfz4xz9mb//lL3/BVVddteBraJpGQ0MDlErlsjj3YolIJIJYLMbk5CSA8LvqATPuqMHBwbC+k7MdVIwzSiqVsrkbidp1kEAgEE5n5HI5rFZrWJ3b4sHll1/OzmtefvnlOR3fAkWU5YApO59dpsfn87FmzZqg505MTCApKSlu82imqUhPT8+iz1UoFGF11RsbG1uWhkGB0DQNl8sVFFbP5G76fD7Y7XbSSY9ASFCiEqMuvfRS3HTTTbjhhhvw8ssvw2w2x3pchARjZGSEXcUJh8nJSUxPTydM204ej4ekpCRMT08vy/ZUKhWmp6eD8pEYpFIpW34WyFe+8hU2Z2dwcBAPPvhg1NuXSCQoLCxEc3Nz2KKW2+0GRVHg8/lsAHlHRweqq6tRU1ODqakp6PV6bN68GRs2bIDRaCQCQADvvvsubrjhBvb2vffeix/84AeLvq6zsxNutxsFBQUJnxMVCsYFCAAXXHABa4V/6623FhSaGBExnI6rgWKU3+9nJ84mk4ndBumkRyAQCImHUCgEj8eLeoFtqahUKuzYsQPAzNzq448/nvOc5RRRnE4naJqGWCyGw+FguygXFxfPEZ3CcSwtFYPBAIvFElbFS+Di2quvvjrncZVKBZfLFdfA+lB4vV74/X709fWx9zHOKLvdDh6PlxAL4wQCYS5RiVFFRUXYtWsXJicncf/99+O8885DUVFRyMtslZ+w+oi0ix5N0+jq6kJ6enpUIdrxggkxXw4Yx0god5RAIIBAIAg5MfvDH/7A/s0eeuihoANrpGi1WhiNRtTX18Pj8Sz6fIfDAZ/Ph9bWVhw6dAgnTpyAy+VCVlYWtmzZgtLSUuj1enJAD0FVVRUuv/xyVmC89dZbcf/99y/6utHRUfT396OkpGTVdhZhukfSNA2hUIhLLrkEwIwgHWrSH0hGRgb6+/vnrFTPJnAVeWhoiG3DbTKZ2Ik9EaMIBAIh8QgMMV8prr32Wvb6Sy+9NOdxhUIBn8+3LIJZYCe9uro69vg3Oy+Kpmk2vDye8Pl8pKWlheWOmt1Vb/axm8vlQq1WL3tXPZfLBS6XG1QOyjijrFZrWBESBAJhZYhKjKJpOuzLStlyCbEj0hK9yclJWK3WhHFFMSgUimWdDC1UqpeSkhLSEZKXl4f/+3//L4CZE/B77rlnSWMwmUyQSCRobGwMueLn9XoxPDyMhoYGVFVVYWxsDBRFoaioCGeeeSaKioqQnJy8aoWS5aCurg5f/epX2ZXAyy+/HI8//viiEx9mRbSwsHBV5x0plUq4XC44HA4AM78/w2uvvbbgaxUKBcRiMQYGBhZ8nt1uD9lJLzMzE06nE36/n4hRBAKBkKAwIeYrxde+9jU2w/O1115jj1cMHA4HarUaY2NjcR/LfJ30ZotRTqcTLpdrWXIkjUYjJiYmFhXjFAoFtm/fDgAYGBiY12W2EmKUUCgMypNknFGkkx6BkNhEJUY1NTVFdCGsbsbGxsIu0aNpGp2dnTAajeDxosrHjxvMZGi5BFKmfCmUCGQ0GjE2NgabzTbnsXvvvZe1Zb/wwguoqamJegyMsORwONiDtMvlgtlsxokTJ3DgwAF0d3dDLBYjOzsbRUVFyMvLg0qlCtkJjxDMJ598gq1bt7IT2LPPPhv/+Mc/FhXvfD4f6urqoNPpIu5QmWhwuVwolUq2VO/iiy9mJ35vvPFGyFJVBoqikJGRgd7e3nm/l0y+RigxymQywWq1LikMn0AgEAjxZaWdUSKRiF0osVgsbFe4QJYrNypQjFoovHxiYgIKhWJZFgMFAgF0Ol1Y7qjrr7+evf7CCy/MeVyj0cBqtbIO5uWAEaM6OzvZ+2Y7owgEQmIS1dnm4cOHUVtbG+uxEBIUk8kUdlvZ8fFxOByOuLShXSpisRgcDmfZcguUSiXcbvecFThgJkMhNTU1ZIcZlUqFX/3qV+ztn/70p0vKMWACzfv6+lBTUzNvADmXyyXukgj45z//iYsuuogt/ayoqMCbb7656N+Qpmm0tLSAx+NF1J0ykQl0AYrFYnz1q18FMCNkf/bZZwu+VqvVgsPhzBu273a7g5xPgSufJpMpqOSBQCAQCInH/9fefYe3VZ5/A/9qWZaHbMvylC3JGY5HbGeRYDYNJGEHSBhZjKYEWii0QAnQlj3Cagu0tIFAmpAQIINR5o9ZCMTZcZw4TuzEI957yprn/cOvTq14O7Isyd/PdeWKfXSk89hPcnR0n/u+H7VaDZPJNKiWASOle6nehg0bejweGRmJ9vb2EQ+idHR0iDdsumdGZWVluezX0NAw4iV63SUmJqK2trbXa9buLr/8cnG1vK1bt/a4plYoFFCr1R7NjrJYLC6ZUc4VewVBYGYUkZcbVjBq6dKl+Nvf/ubusZCXCg4OHtSdGWevKL1e75VlXRKJBGFhYR7rGyWTyRAWFiZmjJxKr9ejpqYGnZ2dPR67/fbbMXHiRADAf//7X3zwwQenNZbg4GBkZmZCp9P12YDcbDazH9QgCIKAp59+GkuWLBEvrC+77DJ8++23g0qnr6ysRGNjI9LS0vwm+ywiIgKNjY1idtNQVtWTSCRITExEWVlZr0FXk8kEpVIpnlO6Z0bp9XqYTCbe9SQi8mIKhQKBgYGjWqp3wQUXIC4uDgDw6aef9rg2cwZRRrJUzxkcCQoKgt1ux4EDBwAA48aNc7l+EAQBTU1NHg1GqVQqREdH93qTtDulUokbbrgBQFdgbevWrT328XSpnvP61RmMMhqNkEgksFgssFqtDEYRebFhfRIKCwsb0spqNDbU19fDbDYjPj5+tIfSJ7Va7TV9o1QqFbRaba9p0QEBAXj++efF7++///5+VyYbjLCwsH4bkDvvLFHfbDYbbr/9dpdeXitWrMAHH3wwqIBIS0sLCgsLkZaW5le/6+DgYMjlcjHQe8kll4iZTNu2bRuwQXlsbCysVmuvgdvuJXqAazAqNjYWNpuNF5pERF5utPtGyWQyMYhitVp7vVEy0qV6FosFdrsdKpUKhYWFYq/JU/tFOX9PztVpPUWv16OqqmrA7LCBSvW0Wi2ampr6LdN3J7PZjNbWVjGry1mi197eDpVK5ZU3yImoy7CCUSkpKS4fCIicvaK8NSvKyZkZ5Ynle4GujJGmpqY+++H098Z/5ZVX4oILLgAAFBUV4e9///tIDlWsuafetbW14aqrrsLq1avFbc888wxee+21QfVHs1qtOHToEJKSksQUd38hkUjEVfUAICQkRGxyWl1dje3bt/f7fKlUioSEhF4Ds30Fo5RKJdRqNSQSicvjRETkfUJDQ0c1GAUMXKrnDKIMdANluJyLcchksgH7RUVERHi8/Dw4OBgajWbAlZyzs7Mxfvx4AMA333zTY3/nokd9VQa4m9lsRlVVlfi9s3l5W1sbb1YReblhl+kdPHgQ3333nZuHQ76qtrYWNpvNq7OigK6LIavV6rHGis4Sx75KA0NCQhAREdHrG79EIsGLL74oXow8/vjjI5Y+LggCy/T6UVlZifPPPx+ffvopgK50/g0bNmDlypWDulgUBAH5+fkIDQ31yn5q7tA9GAUMrVQPAOLj49HW1tYjc9FkMonNXp2lwEBXvyir1QqJRMJeZ0REXs6Zme6pm4G9mTZtGiZNmgSgqwXCqTdAVCoVlEplnxntp8tZogf0v5KeMxg1GvR6PSoqKvrt7yWRSLBs2TIAXe/LfQX2PFWqZzabXVbl7Z4ZxTJ+Iu82rGBUWloalixZgjvvvBN/+tOf8MMPP+D48eOoqKjo9Q/5N+cHRIPB4PU9cGQyGUJCQjxWqufMGOnvwsZgMPT5xj9t2jTcdNNNAICmpiY8/vjjIzJOm80GQRCYGdWLw4cPIzs7G3v37gXQlV335ZdfYtGiRYN+jZKSEphMJqSkpPhto+2IiAh0dHSIgd7LL79cDG5u2bJlwFUs5XI54uPje3w4cN5JBroaujpXoDQYDOjs7IQgCAxGERF5uZCQEFit1tNuOXA6JBKJS3bUpk2bejweGRk5Yjf+BrOSnt1uR3Nz86gFo9RqNUJDQ1FeXt7vfkuWLBG/XrduXY8go1arRX19/YivYG2322Gz2VzGy8woIt8xrMjB7NmzsWHDBthsNmzevBm33XYbLrvsMsyePbvHn4suusjdYyYvU1NTA4fDgdjY2NEeyqCo1WqPNTEHuj6k95eqrFaroVar+3zjf/LJJ8WLl3/84x84evSo28doNpshk8m8usRyNHz//fc4++yzxdIwvV6P7du3i+WTg1FfX4+ysjKkp6cPqpzPVykUCoSGhoqBV7VajTlz5gAAKioqkJOTM+BrJCQkoKGhQeyjIQiCS5le9/JwBqOIiHyHTCZDcHCwR/t29qb7jaS+VtWrr68fkQwu50p6giCIwSitVutSVdDU1ASlUjmq5ecGgwEnT57st1xx3LhxOOeccwB03bTrHlwDuoKPcrkcTU1NIzlUmM1mSKVSl+uDpKQkOBwOdHR0MDOKyMsNKxgVFxeHuLg4xMfHi1/39cdXAhQ0PL6UFeU0Gk3M29ra+r0bqNfrcfLkyV6bPep0Otx///0AujKY/vCHP7h9jOwX1dM777yDOXPmiBdSU6dOxY4dO5Cenj7o1+js7ER+fj6Sk5PHxAXRqYHXoZbqKZVKl9V8LBYLHA6HeFHuLNEDui6WW1tbIZfL+W+XiMgHeEPfqPHjx+PMM88EAOTm5iIvL8/l8bCwMDgcjhEZp7NMr7KyErW1tQC6ri26Z0yPZomeU3h4OFQq1YDVLc5SPaBnI3NnltlIl+o5W0x0D0YZjUZ0dHRAKpXyZhWRlxtW9OCbb74Z0h/yX86Ggb4UdAwLC0NbW9uINag81akZI70JDw8XL1B6c//994tLEn/44Yf49ttv3TpGrqT3P4IgYNWqVVi0aJEYQLzkkkvw3//+V5yDwXA4HDh06BCio6MRExMzUsP1Ks6SVOcd5SuvvFLMBtu8efOg7jQnJiaiuroaZrMZJpMJSqVSDHSferHpvLD319JHIiJ/4rwW8lTfzr7018hcKpVCo9G4vVTParXCarUiKChowH5RGo3GrcceKolEAoPBgLKysn7L7BYuXCheO27cuLFHuwlnqd5I9glz3kw9ceIEgK5erZGRkWhvb0dwcDCvD4i8nG+kspBXcjgcKCkpgdFo9KmTvVKphEKh8OjduYFK9QZ64w8ODsbTTz8tfv/73//ercE0Ni/vYrPZ8Otf/xorV64Uty1fvhwfffTRkDObjh07BgCYMGGCW8fozdRqNQRBEP9vRUREYPbs2QCA0tJS7N69e8DXCA4OFpv697WSHtCVTegseSAiIu+n1Wohk8mwY8cO7Nu3D+Xl5aMSmLruuuvEtgQbN27scd01Ehk9HR0dUCqVkMvlfQajLBYL2tvbvWLF3cjISMjlcpdV6k4VHh6OK6+8EkDXQkZffvllj8dtNtuIXm+bzWYoFArx+iApKQkSiYT9ooh8BINRNGyVlZWQSqWIjo4e7aEMiUQiQVhYmMdL9bpnjPS1j0Kh6DM7atmyZWKTy/3792P9+vVuGx/L9LoaXc6fPx///Oc/xW1PPfUUVq9ePeReT1VVVairq0N6erpXlq8KggCbzYbOzk60traisbERNTU1qKioQElJCYqKinDkyBEcPHgQ+/btw86dO/HTTz9h165d/f4blkgk/ZbqbdmyZVDjc67m09raKvZLA1zL9HQ6HSwWy5gofyQi8gcBAQGYMmUKzjzzTERHR6O2tnZUAlPR0dG4+OKLAXTdKNm+fbvL4xqNBh0dHejs7HTbMbuvpNdX8/LGxkaEhoZCoVC47bjDJZFIoNfrUVZW1u/7/tKlS8WvTy3Vk0qlI9oQHugK4DU3N4uZ7M7m5VxJj8g3nFY33cbGRrz//vvIyclBdXU1ACAmJgazZs3CwoULR73mmUaOw+FAaWkpxo8f71NZUU5qtXrEmyqeejy73d7vm6MzO+r48eOIi4vrEcSQSqV48cUX8Ytf/AIA8NBDD2HhwoVuufMz1j/UV1VV4fLLL8eePXsAdJVWvvnmmy6rxQxWW1sbjh07hvT09BHvVSAIAux2O6xWK2w2W79/n7rNeXGpUCggl8t7/B0YGIiQkBAoFApx2+HDh1FXV4eoqKg+x6TRaFBVVSVeEM6fPx+333477HY7Nm/ejGeeeWbAc0ZYWBhCQkJQWVmJcePGiduddz7lcjkiIyMhCALvfBIR+RilUgmdTgedTgez2Yy6ujrU1taisLAQarUa0dHR0Gq1I3qTbPHixfj8888BdJXqnXvuueJjCoUCYWFhqK+vh06nc8vxuq+k58yMUqlUSE5OFvfxhn5R3UVHR6O4uBg1NTV9thuYN28etFot6urq8OGHH6Kpqckls0ur1aKkpARJSUkjMkaz2Yyamhrxe+dx2traoNfrR+SYROQ+ww5G/fjjj7j33nvR0tLiEjEvLCzETz/9hDVr1uDFF18UV1og/1JRUQG5XN7vh1JvFhYWhtLSUgiC4JFgmlQqRXh4OBoaGvoN+kRFReHEiROoqanptQ/XhRdeiKuuugoffvghKisr8fzzz+PRRx897fGN5TK9I0eO4JJLLhGzbtRqNbZt2yYG/YbCZrPh0KFD0Ov1I9bzQRAEHD9+HFVVVWJQSSKR9BpQUigUCAwMRGhoaI/tCoUCMplsSP/+4+PjUV5e3u//+4iICBw9ehQ2mw1yuRxarRYXXHABvv76axQVFeHAgQM9emT0JjExEXl5eb2W6SUkJIjN/tmclIjId/UWmKqpqXEJTEVFRbn9GmX+/PkICgpCR0cH3n//fbz88ssux3Bm9LgzGKXVatHS0oLCwkIAQGZmplguKAgCGhoakJqa6pbjuYNUKkViYiJKS0sRHR3d6/WCQqHAokWL8PLLL8NsNmPz5s1Yvny5+LhGo0F+fn6Psnt3MZvNLqWERqMRVqt1zN9kJfIVw6ofKS4uxl133YXm5mYkJyfjwQcfxGuvvYbXXnsNDz30EFJSUtDc3Iy77rrLpayC/IPdbkdpaalYl+2LQkJCYLPZYDKZPHZMjUbTb98o4H9p0c5AWW+ee+45sWzs+eefR3l5+WmPbayW6f3www8466yzxPNUYmIitm/fPqxAlCAIyM/Ph0qlGrG7cTabDQcPHkR9fT3S09Mxc+ZMnHPOOTjvvPNw9tlnY+bMmZg2bRoyMjKQmpqKCRMmwGg0QqfTISYmBhqNBmq1GiqVCnK5fMj/f+Pi4tDS0oL29vY+9wkMDIRKpXJp2H/ttdeKXw9mVT2g64NAXFwc1Go1AKClpUV8TYPBIJZzMBhFROQfnIGpqVOniqV8NTU1+Pnnn7F//36Ul5f3uzLxUISEhOCqq64CADQ0NOCLL75weTwyMhKNjY29rnI8HM4yvdzcXHFb9xszHR0dsNlsCAsLc8vx3CUuLg5Wq7Xf69f+SvXkcjkiIiJGbFU9s9nssuqf0WhEW1ub2J+LiLzbsIJRq1evhslkwp133okPP/wQN910Ey688EJceOGFWLZsGbZt24a77roLJpMJr7/+urvHTKOsvLwcSqUSkZGRoz2UYZNKpQgNDfV436jm5uYBG4/HxMTAbrf3+cadnJyMX//61wC6Ll7++Mc/nta4HA4HrFbrmAtGvfvuu7jooovEAMeUKVOwY8cOTJ48eVivV1ZWhvb2dqSmpo5IkNZkMmHv3r0AgGnTpolLLw8nqDRcCoUC0dHRAwZATw28Xn311eIYB7uqnkQiwaRJk8Q71aeupGcymSAIAoNRRER+6NTAVFRUlNsDU/2tqhcUFNTjxspw2e12mM1mBAUF9dsvKiwszOv6TEqlUiQkJKCkpKTP9+7p06eLGV0//PCDuLKdk7OMz90cDgcsFgtOnjwpbktKSmK/KCIfMqwz3o4dO5CUlIQ777yzz31+85vfICkpCT///POwB0fex2azoayszOdW0OuNp5uYq1QqBAYGDtirypkW3d8b/5///GexJv/f//63GKQYDufF3Fgp0xMEAS+88AJuuOEG8WefO3cu/vvf/yI+Pn5Yr9nY2Iji4mKkp6ePSOPRpqYm7N27FxqNBhkZGaN6t0+n06G6urrfu8XOYJTz329sbKzYj6OgoACHDx8e8nG7B6MMBgPa2togl8vHXBCViGisGanA1Jw5c6DVagEAH330UY9V39zVfLujo0Msj+9rJb3GxsYRK+8/XfHx8ejo6EBzc3Ovj0skEixbtkz8/u2333Z5PDIyEi0tLW7LanNyvl5paam4zZkZxX6SRL5hWMGo2tpapKWlDbhfWloaamtrh3MI8lLl5eVQqVRe+4Y5FGq1us831pFy6kpjfYmLi4PZbO5z38jISPz5z38G0BVcuffeeweVbdIbZ78oXw8uDobdbsddd92F+++/X9x266234uOPP0ZoaOiwXrOtrQ2HDh3CxIkTh/0a/amsrERubi6SkpIwYcKEUZ+n0NBQBAcH97vcc1hYGKxWKzo6OsRt3VfVG2ypXne9BaNUKtWo/z6IiMhz3BmYUigUuO666wB0ZR9v27bN5XFnMGq411dOzhI9iUQiZkZJpVJkZGQA6MrwaWpq8qrm5d3J5XLodDqX9+FTLV68WHw/XrduncvvTKlUIiQkxO2r6jlbTDhbLYSFhSEiIoKZUUQ+ZFjBqKCgoEF9oG5oaHBZlnsoLBYLnn/+eZxzzjnIzMzEwoULeyy92psvv/wS99xzD2bPno2srCzMnTsXzz77rEczYPyVMyvKl3tFdadWq9He3u62fgCDMZi+UQAgk8nEppF9+c1vfoMJEyYAAL777jt89NFHwxqTxWIZE9kl7e3tuPrqq/H3v/9d3Pb444/jjTfeGHY2U3t7Ow4cOAC9Xo+4uDh3DRVAV5CxsLAQRUVFyMzMHHbW1kjQ6XQoLy/v8wJdJpMhPDzcpbzhmmuuEb8eTjCqe/9Bg8GA9vZ23vkkIhrDTg1MabXaIQem+ivVCwsLgyAIp/0ZwrmSnsViwaFDhwAAkyZNEj8jtba2QiqVevV7WkJCApqbm3tkjzklJibiwgsvBNC1mFVOTo7L4yNRqmc2myGTycRrZaPRCEEQeH1A5EOGFYxKSUnBrl27UFBQ0Oc+R44cwa5du5CSkjKsga1cuRJr167FFVdcgYcffhgymQy33XYbdu/e3e/z/vSnP6GoqAhXXnkl/vjHP+Lcc8/F22+/jeuvvx6dnZ3DGgt1KSsrQ0hIiNfeuRkqpVKJwMBAjwYqw8PD0dnZOah/i/Hx8Whvb++zrC8gIADPPfec+P39998/rBTosbCSXnV1NS688EJ8/PHHALru8q1duxZ/+tOfhh1Y7ejowIEDB6DT6dzesNzZqLyhoQHTp093WSbZG0RFRcFms/XbS+PUwKtOp0N2djYAIC8vr9/3j950vyOr1+thMpl455OIiAB0XdMlJCT0Gpg6cOBAnzces7OzYTQaAQBfffWVS9avRCJxS6leR0cHgoODkZ+fL16nde8X1dDQgIiICK++0atQKBAfH9/vTdLupXqnNjLXarVobGwcsG/qUJjNZjQ3N4tzm5SUJC5MNNxkCCLyrGEFo6677jrYbDbccsst2LBhg8vKSu3t7Xj77bdx6623wm634/rrrx/y6+fm5uKTTz7B73//ezzwwAO4/vrr8e9//xvx8fF44YUX+n3uyy+/jI8//hh33303Fi5ciD/+8Y948skncfz4cfGDKA2d1WrFyZMnkZSUNNpDcStP942Sy+VQq9WDyo5ypkX398Y/f/58nHfeeQCAY8eO4bXXXhvymPx9Jb2CggJkZ2dj165dALrKzD777DPcdNNNw35Nk8mE/fv3IzY2FgaDwV1DFV973759EAQB06ZNG5GlkE+XVCpFfHx8v43MIyIi0NTU5HLh2b1Ub8uWLUM6pjMYJZFIEBMTA5vNNiJlkURE5NtODUzZ7XaXJtfdSSQSLFq0CEBXudy7777r8rg7glHOMr3++kX5wo3ehIQE1NfXu5Tgd3fNNdeI1yybNm0SV70FuoJDSqXSLQ3hncxms0s7GGe/KGdJJBF5v2EFoy677DJcddVVaGhowJNPPokZM2YgOzsb2dnZmDFjBp566ik0NDTgqquuwqWXXjrk1//8888hk8lcAllKpRILFizAvn37UFlZ2edzZ82a1WPbRRddBAAoKioa8lioS1lZGdRqtdctOXu6RqNv1GBL9YCB06IlEgleeukl8fvHHnts0K/t5M9letu3b8dZZ50lruyi0+nw448/iueE4ejs7MT+/fsRHR3t9pLV5uZm7N27F+Hh4cjMzPTqZYnj4uLQ0NDQZ5ZfUFAQFAqFy/+va6+9Vvx6qKV6zjK9uLg4OBwOAPDKQB0REXkPpVKJcePGoaysDFartdd9upfqbdy40eUxjUaDjo4OMeNmqBwOB0wmU58r6dlsNrS2tvpEMCowMBDR0dF93iQNDQ0VS/IbGxvx6aefio9JJBK3l+qZzWaXTDaj0ch+UUQ+Ztjrh65atQqPPPIIEhISIAgCGhsb0djYCEEQkJiYiEcffRTPPvvssF47Pz8fRqOxx8kkMzNTfHwonCc+XzjReyOLxYLy8nK/y4oCuoJRLS0tp92ccig0Gg2ampoGdUyFQoG4uLh+m0ZOnz4dS5cuBdD15v/kk08OaTwjVaa3f/9+rFmzBlu2bMH333+PQ4cOobq6us+LQXfbvHkzZs+eLQbnMjMzsWPHDvE8Mhxmsxn79+9HZGQkxo8f79ZAVFVVFQ4cOACj0YiJEyd6/V29wMBAaLXaPrOjJBJJj8CrwWDAjBkzAAD79u3D8ePHB3Usk8mEmpoaAF0Xm867rYGBgafzIxAR0RgQHh6O0NDQPrOj0tLSxEylnTt34tixY+Jjcrkc4eHhw86OMplMkMlkUCqVLplRWVlZALpWy3WutuwL9Ho9ampq+gzOOa9Hgd5L9dzREN7JYrG4JCgkJSWxXxSRjzmt2+433ngjbrzxRlRXV6O6uhoAEBMTg5iYmNMaVG1tLaKionpsd25zfigZrNdffx0ymQxz587tdz+LxdJnz52+UlLHgrKyMoSHh0OtVo/2UNzOGfB01vN76pgSiQQNDQ2IjIwccP/ExETk5OT0+wb71FNPYfPmzTCZTHj11Vdxxx13YOLEiYMajzvL9BwOBz799FO88MIL+P777/vcLzw8HFqtdtB/wsPDIZPJBjUGQRDwl7/8Bffdd594wXPxxRdj8+bNp/Vv2GKxYP/+/YiIiHBrsEgQBBw/fhyVlZXIyMjwqaC5TqdDXl4ejEZjr/Oj0WjErDSnBQsWiL3/tmzZ4rKyYV+634U1GAziRbCvXLwTEdHoSkpKQm5uLhISEnpdtGTx4sVisGjjxo145JFHxMecpXoJCQlDPq6zRA+A+Po6nU78TOMrJXpOQUFBiIqKQklJSa99gWfPno24uDhUVlbik08+QX19vXit67wGa25udksvTLPZ7HJDzFmmp9PpTvu1icgz3FID4o4AVHednZ29Zmo4PzAPpRH5xx9/jM2bN2P58uVig8K+/Otf/8Krr746pLGOBaGhoV61kpc7SSQShIaGorm52WPBKIlEAqPRiKNHj2LGjBkDruSmVCoRGxuL0tJSpKam9rpPYmIi7rvvPjzxxBOwWq144IEHsHXr1kGNxx1lep2dnVi/fj1eeuklHDlyZMD9m5qa0NTUhMLCwkG9vlQqhUaj6TdgFRkZCa1Wi40bN+KVV14Rn3vzzTdj9erVw14xD+jqmXbgwAGo1WokJye7LRBlt9tx+PBhdHR0YNq0aT7XcDMsLAxKpRK1tbWIjY3t8XhERAQOHz6Mzs5OMXB07bXXYuXKlQC6stcGE4zqnhloMBjQ1tYGuVzut+WlRETkXmFhYVCr1SgrK8O4ceN6PH7jjTfiD3/4AwRBwIYNG/DnP/9ZfK+PjIxEUVERbDbbkMvnnSvpFRcXi2Xr3ZuXNzY29joeb2Y0GrFr1y4kJib2uHaWy+VYvHgxXnjhBVitVrz77rv49a9/DeB/DeHr6upOOxglCALMZrNLtltCQgJyc3OZGUXkQ7yyIUlgYGCvGUpDLc3YvXs3Hn74YZxzzjn43e9+N+D+K1aswC233NLrY/n5+ViyZMmgjutvoqOjR3sII8rZxNyTAbf4+Hg0NDSgoKAA6enpAwY3EhMTsWvXLhiNxj775PzhD3/A66+/jqqqKmzbtg3ff/89zj///H5f12azwW63D7tMr66uDv/4xz/w6quvujSRBLqWLf7lL38JQRBQV1fX65/BNrJ0OBzic4bikUcewSOPPHJawSNnICooKAgpKSluC0R1dnbi4MGDCAgIwLRp004rWDZaJBIJdDodTp48iZiYmB6/G7lcjtDQUDQ2NiIuLg4AMGHCBEyZMgX79+/Hzp07UVJSMmATeGe/KOB/dz5VKpXXlzISEZH3MBqNyM3NRWJiYo/3XJ1OhwsuuADffvstjh07ht27d+OMM84A0NWfUKVSoaGhYcjXxM7M+71794rbnCWBnZ2dMJlMXrdi7kBUKhViY2NRXFyM9PT0Ho8vXbpUXHBq3bp1YjAK6CrVKywsPO1WB1arFYIgiDerNBoNZDIZAgIC/H6FaCJ/Mqhg1AcffHBaB5k/f/6Q9o+KihLL/rpzftgdzBvBkSNHxFKll19+eVB3Mvo7gflaxgINnlqtRmFhIQRB8NiHW4lEgpSUFOzatQuVlZUDBsJUKhWioqJQVlaG5OTkXvcJCQnBU089hV/+8pcAgN///vfYtWsXpNK+W8NZLBZIpdIh3+k7evQo/vKXv2Dt2rU9MhXPP/983Hfffbj00kv7PTbQFQxraGjoM1jV25++mrl3J5fLsXr16j6Dy4Nls9mQm5uLwMBApKamuu3fR3NzM/Ly8hAVFYUJEyYM+HvyZjExMSgqKkJra2uvZZDOvlHOYBTQlR3lLFfYunXrgDcLTs2MYk8IIiIaqrCwMISFhfWZHbV48WJ8++23AIANGzaIwSjgf/2OhhqMam9vR3R0dK/NyxsbGxEaGurVi5X0xWAwICcnB62trT1Wts3MzERWVhYOHDiAnJwcHD16VLx2jYiIgMViOe1G42azGRKJRMyMYr8oIt80qLPfypUrT+tD2FCDUSkpKcjJyUFbW5vLierAgQMA0GepklNpaSmWL18OjUaD119/nScm6ldYWBgcDgfKysqg1+s9dlyFQoHU1FTk5eUhLCxswH+ner0ee/bsgcFg6LM86aabbsLLL7+MAwcOYO/evXj77bexbNmyPl/T2S9qMP+/BUHAjz/+iBdffBEfffSRSwNKmUyGhQsX4t577xUbVA+GXC5HdHT0kC7uzGYz6uvr+wxW2e12LFmyBNnZ2YN+zd7Y7Xbk5uZCoVAgLS3NbQGj6upqFBQUYPz48YiPj/f57B6ZTIa4uDiUl5f3GYw6efKkS7B3wYIF+NOf/gSgq2/UUINRhYWF0Gg0bvwpiIhoLDAajThw4AASEhJ63IC+9tpr8etf/xoWiwWbNm3CCy+8IAaKIiMjkZeXN6Qbl4IgiCvpdW9e7syM8rV+Ud0plUrodDqcOHGi14Vhli1bhnvvvRcAsH79ejzxxBMAuq4ZNBoN6uvrTzsY1dTUJK6u68ya5kp6RL5lUMGoM888c8gfmPbv3w+TyTSsD1rz5s3Dm2++iXfffVfM8rBYLNi6dSuysrLEO+wVFRUwmUwYP368+Nza2lrceuutkEgkWLNmDT+w0IDkcjkmT56M/fv3IyQkxKP/ZiIiIqDT6XD48GFMnz6934BHcHAwNBoNysrKMGHChF73kclkePHFF3HRRRcBAB566CEsWLCgz8y+waykZ7PZsHXrVrz44ovYuXOny2MhISH41a9+hbvvvnvAUit3USqViI+PH9GySrvdjoMHD0Imk2Hy5MluCUQJgoATJ06goqICkydP9qtzU3x8PHbv3o3x48f3+PfkvGPa0tKCsLAwAF03HNLT03Ho0CFs374d5eXl/TYc7V6mFx8fj0OHDvnlggpERDSy1Go1wsPDUVZW5vL5AehaXOWyyy7Dtm3bUF1djW+++QZz5swRnwcMrfl2Z2cnBEGASqUSM6PUajWSkpLElch9udm2Xq/Hjh070NzcLL6/O9144424//774XA4sH79ejz22GPitZRzJd7TuW40m80u7SGMRiPa29tdsrCJyPsNKhi1du3aQb/g7t278fzzz4ulO32VFPUnKysL8+bNw0svvYT6+noYDAZs27YN5eXleOqpp8T9HnjgAezcuRMFBQXituXLl6OsrAzLly/Hnj17sGfPHvExrVaLs88+e8jjIf8XGhqK5ORkHD582OONpI1GIxobG1FUVDTgCngGgwH79++HwWDos8fQ7Nmzcfnll+M///kPysvL8eKLL4pZKKfqr3l5a2sr3nzzTfz1r391CQYAXb0V7r77bvzqV7/yuV4HA3E4HOLdz4yMDLcEoux2O/Lz89He3o6pU6f6XbZmUFAQwsLCUFlZ2ePiUiKRiKV63S9WFyxYgEOHDgEAtm3bhjvvvLPP13dmRkVFRUEul8PhcLB0moiIhsVoNGLfvn1ITEzscQNl8eLF2LZtG4CuVfWcwShn8+36+vpBX/c4V9Krr68Xy8mmTJkCiUSCtrY2OByOHiVuvkShUCAhIQEnTpxAVlaWSwJCXFwc5syZg88//xwlJSX48ccfcd555wHoyjIrKCg4rdWczWazy+rqzIwi8k1ua1Ry9OhR3H777Vi6dCkOHDiAuLg4PPvss8PuN/Xcc89h2bJl+Oijj/Dkk0/CZrPhn//8p0v9dm+cK3m98cYb+MMf/uDy55///OewxkJjQ0xMDOLi4pCXlwebzeax40qlUqSlpaGqqgr19fX97hsaGgq1Wu2yekhvnn/+echkMgDAs88+i4qKil736+1CoLy8HCtXroRer8c999zjEoiaMmUK1q9fj+PHj+P+++/3y0DUoUOHYLfbkZGRIf4OT0dnZyf27dsHm82GadOm+V0gykmn06GiokJMme9Oo9H0aFZ/7bXXil9v3ry5z9e1WCziv1+DwSDe6OirkT8REVF/QkNDERERgdLS0h6PXXbZZeKNk61bt8JkMomPOYNRg+VcSa97iV73flHh4eE+3TMS6Fpgp62trdcFaZYuXSp+vW7dOvFrhUKBsLCwIS9K053ZbEZlZaX4vU6n440qIh902mfAyspKrFy5EldffTW+++47hIWFYeXKlfj8888xf/78YfdDUSqVeOCBB/Djjz/i4MGD2Lx5M84991yXfdavX++SFQUABQUFff5Zv379sH9OGhvGjRsHpVKJI0eOuPREGmkqlQrJyck4cuSIuGpkXwwGA8rLy/sNmKWkpOCOO+4A0HUx1FdmVPcyvdzcXNx0001ISkrCqlWr0NTUJO53ySWX4KuvvsLevXuxZMkSv1ypxOFw4PDhw7BYLMjMzHRLQ9GWlhbs3bsXoaGhyMzM9MkV8wYrMjISEomk1wv1iIgItLS0wGq1itsmT54sZs7+8MMPvS5aAQAnT54UA1zdg1GDXVWViIjoVEajERUVFT2uuQIDA8WbJa2trfj444/FxyIiImAymVwCVP3pLRjlD/2iupPL5dDr9Thx4kSP6+b58+eLmUrvv/9+j8CeO4NR0dHRCAoK8vngHtFYM+z/sc3NzVi1ahXmzZuHDz74AAEBAVixYgW++uor3HzzzX75YZX8n0QiQVpaGtra2lyaJntCTEwMNBrNgIEwZ7PzvrKdnB555BHx7t5bb73lcjHkZDab8dNPP2HOnDnIysrCunXrxIBBQEAAbr31VuTl5eHTTz/F7Nmzfb7Zdl8EQcCRI0dgMpncFoiqqanBgQMHkJiYiOTkZL+/QJJIJIiPj0d5eXmPx5RKJYKDg13unEokEixYsABAVyCwryza7v8PjUYjWltbIZPJhp3aT0REFBoaCo1G02t21OLFi8WvN2zYIH4tl8sRHh4+6CCKc3W3U1fSczgcaGpq8otgFNCVleRcXKa7oKAgLFy4EEDXzbmPPvpIfEyr1aKpqWnYlQhms9mlSkCj0fht5jmRPxvypyOz2Yx//etfuOiii7B27VrY7XZcd911+PLLL/G73/2Otbrk8xQKBSZPnoyysrLTumszHBMnToTJZEJZWVmf+0gkEuj1epSVlcFut/e5n1arFTOiBEHAvffeKwa5zGYz1q5di+uvvx433HAD/u///k98XkREBB5++GGUlJRgzZo1SE9Pd9NP552cgai2tjZkZWWddvaSs1F5QUEB0tLSkJiY6LdBvFPFxcWhpaUFbW1tPR5z9o3qbjCleqeupNfW1oagoKAx8zslIqKRYTQaUVlZ2SM76vzzzxcXSfnss89c3ru0Wu2gSvUEQeiRGeVcRbm5uRlyudxvSspkMhkMBkOv2VF9leqpVCqxn9ZQCYIAi8UiXitHRUXB4XDwMyiRDxp0MMrhcODdd9/FxRdfjL/+9a9obW3FxRdfjI8//hiPP/44oqKiRnKcRB4VEhKClJQUsem0p8jlcqSlpaG4uBitra197qfRaKBUKlFVVdXv6915550YN24cAOCbb77B+vXr8eyzzyIpKQm33HILioqKxH3Hjx+PV199FWVlZXjyyScRGxvrnh/KiwmCgKNHj6KlpQVTpkw57YxOu92Ow4cPo7q6GtOmTUNkZKSbRuobFAoFoqOje83acwajul+oTp06FUlJSQCAb7/9tteL0r6CUURERKcjJCQEkZGRPbKjZDIZbrzxRgCA1WrF+++/Lz4WGRmJ5ubmATN6LBaLeMPQ2c928uTJCAgIQGNjIzQajV/dVImLi4PNZnNpKg50BfYSExMBAF988YVLSf5gA3unstvtMJlMYpleUlKSmIVGRL5lUMGoL7/8EpdddhkeffRR1NTUYMaMGXjvvffw8ssvix8kiPxNVFQUEhISPN7QXK1Ww2Aw4PDhw30eVyKRwGAwoLS0tNeG0U5KpRKrVq0Sv7/pppvw4IMPutTZZ2dnY8uWLSgoKMBvfvObMfNmLggCCgsL0djY6JZAlNlsxv79+2GxWPy6UflAdDodqqqqevzbDQsLg81mQ0dHh7ite6me3W7Hhx9+2OP1ujfQNxqN6Ojo4N1PIiJyC2d2lLMfodOiRYvEr7uX6gUGBiIoKKhHpu+p2tvboVKpcPjwYfE6zd/6RXUnlUphNBpRXFzscl0qlUrF7Ci73Y533nlHfMwZjOrvOrY3ZrMZdXV14s0tg8HAawMiHzWoYNRvf/tbFBcXIzAwECtWrMDvfvc72Gw27N27d1B/iHyV0WhEUFAQDh8+7NGG5nq9HkqlEoWFhX3uo9VqIZPJ+mz87HTttdfi7LPPdtkmkUhw5ZVX4rXXXsNPP/2Ea665xi0rx/kKQRBw/Phx1NXVYcqUKafdf6i1tRV79uxBcHAwsrKyxnTPvNDQUISEhPTI2pNKpYiIiOhxAe8MRgG9l+p1z4zS6/W84CQiIrcJDg6GVqvtkR01depUpKSkAOhaZKP7e5FWqx2wjUNfzcutVitaW1v9LhgFQMyoP/X9v69SvZCQEMjlcpcFcwbj1P5UCQkJkMvlY/rai8hXDalLb2dnJ1avXo3Vq1cP+jkSiQSHDx8e8sCIvIFEIkFqair27NmDEydOiCVvnjru7t27UV1djZiYmF730ev1KCkpQWxsbJ/p3hKJBP/4xz9w0UUXob29HbfccgvuuecehIeH48SJEyP9o3il4uJiVFdXY+rUqae1KpvD4UBZWRlKSkpgNBrHVH+o/uh0OhQXF0On07n8PiIiIlBfXy+m7APAGWecgcTERJSVleGrr77qccfY+QEgLCwMKpUKNpsNoaGhnvthiIjIrxkMBuzZswd6vV68JpBIJFi8eLHYe3PTpk144IEHAHSV6uXm5sLhcPS5OIkzGHVq8/KmpiYEBwf7ZeBEIpEgKSkJRUVFiI2NFX83KSkpOOOMM7Br1y7s27cPeXl5mDx5MiQSiRjY02g0gz6O2Wx2KQeMiYlBSEgIr7+IfNCgMqPi4+MRFxc3rD9joe8M+Te5XI6MjAyUl5f3qIUfSUqlEpMmTcKxY8f6XEY4OjoagiCgtra239fKzMxEWVkZmpub8eqrr2LChAmwWCxjckWykpISVFRUYMqUKVCpVMN+nba2Nuzduxc1NTWYMmUK9Ho9L4T+v6ioKNjtdpfV84CuvlFNTU0ujfclEonYyNxqtboso22328W71QaDAWazGYIgsGcUERG5jTM76tRVlPsq1QsNDYVUKkVLS0ufr+nsYdQ9MyorKwsNDQ1+mRXlFBUVBYVC0aN35LJly8Sv169fL37tDEYNpfrg1GBUdHT0mG2NQOTrBpUZ9c0334z0OIi8WlBQEFJTU5Gfn4+goCCPlQlptVpER0cjPz8fU6dO7RHskEqlSExMRGlpKaKiovoNhpwaeDKbzX55Z64/paWlOHnyJKZMmTLsgIbD4UBpaSlKS0uRkJAAo9HY553RsUoqlSIuLg7l5eUudztVKhWUSiWamppcmrsvWLAAf/3rXwEAW7ZsES9aKysrxd5Tzn5RAE4rm42IiOhURqMRu3fvhl6vF29UjRs3DtnZ2fj5559x8OBBHDx4EBkZGZBIJNBoNKirq0N4eHivr9fR0QGlUonc3FwAXYvEqNVqHD58GBMnTvTUj+VxzuyoI0eOIC4uTmwBccMNN4htXt5++208/fTTkMlkCAsLg8PhQGtrK9Rq9aCOYTabXYJdERERLN8n8lH8BEU0SFqtFomJicjLy4PVavXYccePHw+73e7SyLm72NhYWCyWAZtpnspsNo+pzKiTJ0+itLQUmZmZw76D5syGqq2txdSpUzFu3DgGovoQHx+PhoYGl6w+5wX8qf9Ws7OzERcXB6BrtR3n3ebeVtKTy+Vj6t8tERGNvKCgIERFRfXIjlq8eLH4dffsqP5WgrNarbBarSgvLxdvokyZMgUmkwlms7nPAJa/0Gg0UKlUOHnypLhNq9Xi0ksvBQBUVFTg22+/BdB188oZ2BusU4NRarWamVFEPoqfooiGwGAwICQkBIcOHfJYQ3OZTIbU1FSUlZX12uRRJpMhISEBJSUlQxrTWCrTq6iowIkTJ5CZmTmsfkMOhwPFxcXYu3cvIiMjMX36dPYtGoBSqYRWq+2Rqq/RaHqU70mlUlxzzTUAui4yP/nkEwCuK+kZDAa0trYiKCiI5ZBEROR2BoMBNTU1LjdRrrvuOjG7Z+PGjeLKbxERETCbzS4rxDq1t7dDqVTi4MGD4rapU6eisbERYWFhfr9gjDM7qqyszOXmbV+NzAfTEL47s9ksBrqcvakYjCLyTQxGEQ2BRCJBSkoKrFYrioqKPHbckJAQjB8/Hvn5+b1mZcXHx6Ojo2NIK5KMlTK9qqoqFBUVITMzc9Ap4N2dmg2VlJTEbKhB0ul0qKysdOkRFR4eDpPJ1GMZ7d5W1et+h9poNKK9vZ39ooiIaEQEBQUhOjra5b0nKioKc+fOBQCUlZXhxx9/BNB1IzA8PLzX7Ki+VtI7dYEOfxYREYHQ0FCUlZWJ2y6//HIxK2zLli1oa2sD0HWTymQy9RrY601LS4vYMyoxMREqlcrvA3xE/oqfqIiGSC6XY/LkyaiqquqxfO1Iio+PR0hICAoKCnpkQMnlciQkJPRYmrg/Y6FMr7q6GseOHcPkyZMRFhY2pOcyG+r0hYWFQalUujQalcvlUKvVPUr1zj33XERFRQEAPvvsM7S3t/dapse7n0RENFKc2VHdAyN9NTKPjIzsNaOnt5X0xlowCgCSkpJQXl4Oi8UCoKvf4/XXXw+g63e0bds2AF3XBc7Vdgdit9tRXl4ufu+8NiYi38RgFNEwqFQqpKWl4dixY2htbfXIMZ1ZWS0tLaisrOzxuE6nQ0tLS7+ruzjZ7XbYbLYRC0YJgoCamhrk5+fj2LFjKCkpQWVlJerr69Ha2orOzk4x1X2k1NbWoqCgAOnp6UO++GM2lHtIJBLodDqUl5e7BFB76xslk8nEUj2TyYTPPvusRzDKZDLxopOIiEaMSqVCTEyMy/vPVVddJWblvv/++2JwJTIyEi0tLT0y1k/NjIqKihLfu8bSTS21Wo3w8HCXG6WnW6pnsVhcbgTHxMTwJhWRD+OnK6Jh0mg0MBgMyMvLEy9MRppCoUBqaiqKiorQ3t7e47H4+PhBZUdZLBZIJBIoFAq3jk8QBDQ0NGDPnj0oLCxEYGAgJBIJ2tvbUVNTg+PHjyM3Nxc7duzAf//7X/z444/YuXMn9u/fj0OHDvUIXLW0tAwrcFVXV4f8/Hykp6e7rOY2EGZDuV9MTAw6OztdgqTOvlGnzuu1114rfr1582axZ1RQUJDYn2M4pZZERESDZTAYUFtbK2ZHhYSEYP78+QCAxsZGfP755wC6Mn2Cg4N73Fxpb29Hc3MzamtrAXT1i2pqakJ4ePiY63mYlJSEiooKsTT/rLPOwrhx4wAAX3/9tZjl5AzsDXQ9bTabXYJWWq2WN6mIfJh8tAdA5MsSExPR1taGQ4cOISsryyPZMxEREdDpdDh8+DCmT5/ucsyEhATk5OSgra2t3zdnZ78od14UtbS04Pjx42hra4PBYEB8fHyfNfyCIMBiscBqtcJisbj8cfa+cn7vvOMol8sREBAAhUKBgIAAlz/dt7W3tyM/Px+pqamIjIwc9Pjb2tpw5MgRCIKAqVOnMgjlJjKZDLGxsSgvLxdLJUNCQiCVStHS0uKyqtAFF1wgZk395z//EXtNGQwGWCwW2O123gElIqIRFRgYiJiYGBQXFyMtLQ1A16p6GzduBNBVqnfllVcC+F+pXkxMDICuzHOz2YyjR4+Kr+cs0XOWoo8lISEh0Gq1KCkpwaRJkyCRSLBs2TI8+uijEAQBGzZswB/+8AcolUqEhoaivr5eXF23N2az2aX0X6PR8LqAyIcxGEV0GiQSCSZNmoR9+/ahsLAQycnJHjmu0WhEY2MjioqKMHHiRHG7UqlEbGwsSktLxQuo3rhzJb329nacOHECjY2NSEhIwOTJkyGX939qkUgkUCqVgxqDIAg9glbO77sHrpzbnOWMg73oczgcKC0tRWlpKRITE2EwGFiS52Y6nQ47d+4U+5RJJBIxO6p7MEqhUGD+/Pl48803XTL/DAaDeIdapVJ5evhERDTGGAwG7Ny5E+3t7QgODsbFF18slpJ99NFHaGlpgVqthlarxf79++FwOCCVStHR0QGFQoG8vDzxtbKystDc3IxJkyaN4k80eoxGI3bv3o3ExEQEBQVhyZIlePTRRwF0lerdf//9kEgkYmBvoGBU9zK9+Ph4BAYGjvSPQEQjhJ+4iE6TTCbD5MmTUVtb22MZ+5EilUqRlpaGqqqqHg0f9Xo96urqXJYmPpU7VtLr7OzEkSNHsGfPHiiVSsyaNQtJSUkDBqKGSiKRICAgACEhIdBoNIiNjUViYiLGjx+P1NRUZGVl4YwzzsBZZ52F888/H+ecc454h3Igra2t2LNnD3tDjTCVSoWIiAiXXmcRERE9ShsA11X1nJzNy+Vyud833SciotEXGBiI2NhYsVxcoVCIzbc7OzvF5tshISGQyWRobm4GAHHV1+4r6Y0bNw5KpXLMBk2CgoLETDMAGD9+PM4++2wAwKFDh8TflVarRWNjo8sKvKcym83itYREIsG4cePGXOkjkT/hpy4iNwgMDER6ejoKCwvFC5KRplKpMHHiRBw5cgRms9llLFFRUf32jjqdlfQsFgsKCwuxc+dOCIKAM844AxMnTjzt4JY7SCSSQS3v63A4cOLECezbtw9arZa9oTxAp9OhoqJC7BOl0WjQ2traoz/E7Nmze6x8aDQa0dLSApVKxYtOIiLyCL1ej/r6erS1tQHoKtVzcq6q58zocd4YPLV5eVBQEDQaDSIiIsb0+5fBYEBdXZ34u1y2bJn4mLOReVBQEJRKZa83qpzMZjNOnjwJoKsn5VhanZDIHzEYReQm4eHhGDduHA4dOuQSHBpJsbGx0Gg0Yq8jJ71ej+rq6j7HMZwyPZvNhuLiYuTk5MBkMmHatGlITU31ubIpZzZUfX09s6E8SKPRQCqVio1HndlujY2NLvsFBASIvTicDAaDeLeZiIjIEwIDAxEXFyeurHfmmWciKSkJQFfzbWe5mLO8TBAEdHR0wG63o6ioCACQmZmJlpaWMR80cf4undlRCxcuFG9ibty4ETabDRKJBFqttkfGf3eNjY1isCo+Pp79ooh8HD+BEbmRTqeDRqNBXl7ekFeAG66JEyfCZDKhrKxM3BYcHIzIyEiXbd0NpUzP4XDg5MmTyMnJQWNjIzIzM5GRkeFzq5d0z4aKiorCtGnTmA3lQRKJBDqdTlw5B4DYrPxUp5bqOcv0eNFJRESe1D07SiKRYNGiRQC6rik2bdoEoKvs3NnH0tlH0ykjIwNtbW1jPhgFdL2XNzY2isE5542nmpoafPnllwAgBqO632DtzhkYBIDo6GheFxD5OAajiNxIIpGITcyPHj3a55upO8nlcqSlpaG4uBitra3idr1ej4qKil6XyR1MmZ4gCKisrEROTg4qKyuRkpKCKVOm9Cih8gXds6GmTZsGo9HIbKhREBsbi9bWVjFN39nE/NT/J3PmzHEJdhqNRphMJp8LgBIRkW9TKpUuGT3dS/Wcq+vJZDJERESgtrYWJpMJR44cEfdJTk5GSEgIFAqFR8ftjQICAqDT6cRg3dKlS8XHnKV6arUaAHpteeFwOFxuskZFRfG6gMjH8dMYkZtJpVJMnjwZDQ0NHmtorlarYTAYcPjwYdhsNgBAaGgowsPDxdp6J0EQ+i3TEwQBtbW12LVrF0pKSjBu3DjMmDEDkZGRPtfvoLdsKF64jB6FQoGYmBgxO0qtVsNut7usnAd0pfPfdNNNAIBJkyYhJiYGJpOJmWxERORxer0eDQ0NaG1tRWpqKqZOnQoA2LVrF44dOwagq1SvoqICMpnMZSU9vV4PjUYzKuP2RomJiWhtbUVTUxPmzZsHrVYLAPjggw/Q3Nwsluo5S/q7s1gsLivpJSYmun3RHCLyLAajiEaAUqlEeno6ioqK0NTU5JFj6vV6KJVKFBYWitsMBgPKy8vFABXQ1fvJ4XD0WqbX2NiIvXv34tixY9DpdJg5cyZiYmKGFIRyOBxoaGjAkSNHsGvXLuzbtw95eXk4cuQIioqKUFJSgoqKCtTW1qKxsRFtbW3o7OyE3W53ayYZs6G8k06nQ3V1NaxWK6RSKcLDw3st1XvhhRfw2Wef4ccff4TdbofVamUwioiIPE6pVCI+Pr7X7ChnI/PIyEhYLBaX5uVSqRTR0dEs0etGoVAgMTERx48fh0KhwI033gigK2N/8+bNACAGo069JrRYLKipqRG/HzdunOcGTkQjguFkohESFhaGCRMm4NChQ5g+ffqIL+krkUiQmpqK3bt3o7q6GjExMQgLC0NISAjKy8thMBgAdL3hy2Qyl7tJra2tOH78OFpbW5GYmIiEhIRBrUrnJAgCGhsbUVtbi9raWshkMkRFRSEpKUkMJNhsNlitVrS3t4tfd//b+TMoFAooFArI5fJ+/+7+tVQqFQNmDocDJSUlKCsrg16vh16vZxDKi4SEhCA0NBRVVVVITEyERqNBbW0t9Hq9y36BgYGYN28egK50fUEQ2BuCiIhGhV6vx44dO9Da2oobbrgB999/PwRBwIYNG/DII49AqVQiNDQUcrkchw4dAtBVoieVSn2yvcFI0ul0OHnyJBoaGrB06VK88sorALpK9X75y18iPDwcFosF7e3tLtnsZrMZ1dXV4vcTJ070+NiJyL0YjCIaQfHx8Whra0NeXh6mTp06pADPcCiVSkyaNAlHjhyBWq2GSqWCwWBAfn6+GGDqXqLX0dGBEydOoL6+HjqdDmlpaYPuayAIApqamsQAlEQiQVRUFDIyMqBWq4eUTSUIQq8Bqu5/d3R0wGq19hvEksvlsNvtUCgULMnzYjqdDsePH0dCQgI0Gg0KCwtht9v7/P/R0tICuVw+5BUgiYiI3MHZ76i4uBgZGRm48MIL8c0336CwsBC7du3CzJkzxXYJVqsVAJCamoqwsDDeEDuFXC6HXq/HiRMnMH36dKSkpODIkSP473//i+LiYhiNRmg0GtTV1fUIRlVWVgLo6tM1YcKE0foRiMhNGIwiGmETJkzAgQMHUFBQgNTU1BHvu6TVahEdHY38/HxMnToVERERCAwMRGVlJRISEmA2myGVSlFQUIDq6mrExsZi1qxZg/qgLwgCmpubUVNT4xKASk9PR1hY2LB/tu4ZUUPhDGI5g1NWqxWCIECj0fDiz4tptVoUFhaioaEBkZGRCAwMRGNjo9g74lRtbW0IDAz0uZ5lRETkPxITE5GTk4OWlhYsXrwY33zzDYCuUr2ZM2dCq9Xi+PHj4v5JSUks0euDMzuqrq4Oy5Ytw0MPPQQAePvtt/HHP/4RWq0W5eXlMBqN4nPMZrPYizUqKooZZ0R+gJ/WiEaYVCpFeno6mpubezQTHynjx4+H3W5HcXExJBIJ9Ho9ysrKYDabceLECZSUlMBut2PGjBlITk7uNxDlzIA6duwYfv75ZzH9PD09HdnZ2Zg4cSLCw8NHJVDgDGKpVCqo1WpERkZCq9UyEOXlpFIp4uPjxUbmGo2m175RTq2trSzRIyKiUdU9O+qaa64Re29u2rRJzNTet2+fuH9iYiKDUX2QSqUwGAwoLi7GokWLxO3r1q2DIAiIjIwUe4o61dXVoaWlBUDX6rxBQUEeHzcRuRc/sRF5QEBAANLT03HixIl+P3S7i0wmQ2pqKsrKytDU1AStVguZTCb2O5g0aRLS0tL6fCN3ZkB1D0A5HA6kpqbirLPOQnJy8qgFoMg/xMXFobGxESaTCRqNBo2NjX3u297ezotOIiIadYmJieKqb5dffjkAoKamBl9//TUAiM3Lga6eUWwX0LfY2FgIggClUokLL7wQAHDs2DHs3LkTCoUCYWFhqK+vF/d3NpAHgISEBF6DEvkBBqOIPEStViM5ORmHDx+GyWQa8eOFhIRg/PjxyM/Ph81mQ1paGrKyshAfH4/w8PAe+zsDUIWFhdixYwcOHjwIh8OBlJQUnHXWWZg0aRIiIiL45k9uoVQqERUVhfLycoSHh6Ozs7PP/xenNjElIiIaDQqFQsyO6r6q3saNG+FwOMRgVFxcHIxGI6+Z+iGVSmE0GlFcXIwlS5aI29etWwfgf6vqOZWUlIhfdy/fIyLfxWAUkQfFxsYiNjYWeXl5YoPLkRQfH4+QkBAUFBQgODhYXKHEWZYnCAJaWlpcAlA2mw2TJk0SA1AajYYXUzQidDodqqqqAHStPtlX1qDJZEJoaKgnh0ZERNSrxMREtLS04Oyzzxb7Fm3duhWHDx8Wy8gmTpzIEr1BiI6Ohkwmw9lnnw2VSgWgq+zRYrEgMjISTU1NsNlsEAQBpaWl4vPGjRs3WkMmIjdiMIrIw8aPH4+goCDk5OTg5MmTcDgcI3YsiUSClJQUtLS0iCuQdHZ2wmq1oqioCDk5OcjNzYXNZkNycjLOOusspKSksAE4eYRarUZgYCCqq6v77BvlcDhgNpsZjCIiIq+gUCiQkJCAyspKLFiwAEDXQhtPPPGEuI/RaGQwahAkEgmMRiPq6+sxf/58AEBDQwM+/fRTqFQqBAUFob6+HlarVbx5BQCTJk0apRETkTvx0yaRh0kkEqSnpyMtLQ0VFRXYtWsX6urqIAjCiBxPoVAgNTUVRUVFOHr0KE6cOIGCggJYLBZMnDhRDEBFRkYyAEUeJZFIoNPpUF5ejoiICDQ1NfUIzppMJtjtdgajiIjIayQkJKCtrQ1XXXWVuO29994Tv05LS0NgYOBoDM3naLVaKJVKzJs3T9x2aqme2WxGdXW1+DiDUUT+gZ88iUaJRqPBGWecgYSEBBQUFODAgQNoa2sbkWNFRETAYDCgs7MTGo0G5557LlJTUxmAolEXHR0Ns9kMm80GmUwmljg4tbS0QCaT8aKeiIi8hjM7Kj4+HjqdrsfjM2bMGIVR+SaJRIKkpCTo9XrExsYCAP7zn/+gvr4eWq0WDQ0N6OzsFDOj5HI5e0YR+Ql+CiUaRc7MkFmzZiE0NBR79+4Vs5bcTa/Xw2g0Ijw8HHK53O2vTzQcMpkMcXFxqKio6LVUr7W1FSqVin3LiIjIqyQkJMBkMuHqq6922R4SEoKMjIxRGpVvioiIQFhYmLhCodVqxXvvvYeQkBDI5XJUVVWJ7Sbi4uIgk8lGc7hE5CYMRhF5AblcjvHjx+OMM86A1WpFTk4OSkpKYLfb3Xocs9mMgIAAt74m0emKj49HXV0dgoODew1GBQUFjdLIiIiIeieXy5GYmIizzjrLZfv48eOh0WhGaVS+SSKRYNy4cS6/y3Xr1kEikUCr1eLEiRNob28H0NVAnoj8A4NRRF5EpVJh8uTJyMjIQG1tLXbt2oWamhq39ZPqvpIekbdQqVTQaDTo7OxEW1ubS2Zge3s7g1FEROSVdDodEhISkJycLG5LT09nBvowhIWFYfr06WI/qB07duDYsWPQarUuzctZokfkPxiMIvJC4eHhmD59OoxGIwoLC7Fv374evXSGw2w2MxhFXkmn06G2thYhISEu2VEdHR0ICQkZxZERERH1Ti6XQ6/X4+KLLxa3sV/U8CUlJWH27Nni9+vXr0dYWBhqamrEbRMmTBiNoRHRCGAwishLSSQSxMbGYtasWYiIiMD+/ftx+PBhdHZ2Dvs1WaZH3ioiIgIymQxSqbRHMIor6RERkbfS6XSYP38+rr32WsybNw+LFy8e7SH5rNDQUCxcuFBcXGf9+vUA4LLS7sSJE0dlbETkfswhJfJyMpkMSUlJiIuLw4kTJ7Bz504kJiZCr9cPuYGjxWJBeHj4yAyU6DQ4m/mXlJTAZDKJpakmk4nBKCIi8lpyuRzJycm49957YbPZoNVqR3tIPu2MM87A9OnTsWvXLhQXF2P79u0umVHjxo0bxdERkTsxM4rIRwQGBiI1NRVTpkxBY2MjcnJyUFlZOaR+UsyMIm8WGxsLm80Gk8kk9o6yWq1Qq9WjPTQiIqI+6XQ6OBwOhIWFiVk9NDzBwcFYsGCB+P26detQXFwsfs+eUUT+g2dLIh+jVqsxdepUTJgwASUlJdizZw+ampoG9Vz2jCJvJpfLERsbC4fDgYaGBrS2tkImk7GBOREReTWZTIaUlBTo9frRHopfuPXWW6FSqQAA7733Ho4cOQIACAgIQGxs7GgOjYjcyGuDURaLBc8//zzOOeccZGZmYuHChdi+ffugnltdXY27774bM2bMwLRp03DHHXegrKxshEdM5DkSiQTR0dGYOXMmoqOjcfDgQeTl5cFkMvX5HLvdDrvdzmAUeTWdTger1Yra2lq0tLQgMDAQEolktIdFRETUr8jISLZCcBOtVotLLrkEANDS0oKioiIAQGJiIjPPiPyI1/5vXrlyJdauXYsrrrgCDz/8MGQyGW677Tbs3r273+e1t7dj2bJl2LVrF1asWIHf/va3yM/Px5IlS9DY2Oih0RN5hlQqhV6vx6xZs6BQKLBr1y4UFhbCZrP12NdsNkMqlXK5YfJqISEhiIqKQkVFBZqamsQ7o0RERDR2/OpXv+qxjf2iiPyLVwajcnNz8cknn+D3v/89HnjgAVx//fX497//jfj4eLzwwgv9Pnfjxo0oLi7GP//5T/zqV7/CzTffjDVr1qC2thZvvfWWh34CIs8KCAjApEmTMG3aNLS3tyMnJwfl5eUu/aSc/aKYZULezmg0orOzE1VVVSzRIyIiGoPmzJmDuLg4l21JSUmjNBoiGgleGYz6/PPPIZPJcP3114vblEolFixYgH379qGysrLP537xxRfIyMhAZmamuG38+PHIzs7GZ599NqLjJhptISEhyMzMREpKCk6ePIldu3ahvr4eQFfpK0v0yBdotVqoVCrU19cjJCRktIdDREREHiaVSrF06VKXbcyMIvIvXhmMys/Ph9Fo7PEhxBlgys/P7/V5DocDBQUFmDx5co/HMjIyUFpaira2NvcPmMiLSCQSREZG4owzzkB8fDzy8/ORm5uLpqYmrqRHPkEqlcJgMMButzMYRURENEbdfPPNLt9zJT0i/+KVwaja2lpERUX12O7cVlNT0+vzmpqaYLFYhvVcoCtzpK2trdc/HR0dw/lRiEaNVCpFQkICZs2ahaCgIFRVVSEwMHC0h0U0KBMnToRUKkVoaOhoD4WIiIhGQWpqKqZPny5+z2AUkX/xyk7GnZ2dvWZwOEuMOjs7e32e2WwGgH6f69ynN//617/w6quvDnm8RN5MoVBgwoQJSEhIgEwmG+3hEA2KSqXCvHnzoNVqR3soRERENEoeeeQRzJ8/HxkZGS6BKSLyfV4ZjAoMDITFYumx3RlI6iu7wxlw6u+5/fXMWbFiBW655ZZeH3OuyEfkq5gVRb4mOjp6tIdAREREo+iKK65Ac3MzVCoVb6oS+RmvDEZFRUWhurq6x/ba2loAfX9ACQ8PR0BAgLjfUJ4LdGVU9dVThys6EREREREReRb7RxL5J6/sGZWSkoLi4uIezcYPHDgAoKt+uDdSqRTJycnIy8vr8Vhubi4SExN5MiMiIiIiIiIiGkVeGYyaN28e7HY73n33XXGbxWLB1q1bkZWVhbi4OABARUUFioqKXJ47d+5cHDx4EAcPHhS3HT9+HDt27MC8efM88wMQEREREREREVGvvLJMLysrC/PmzcNLL72E+vp6GAwGbNu2DeXl5XjqqafE/R544AHs3LkTBQUF4rZFixbh/fffx4oVK3DrrbdCLpdj7dq1iIyMxK233joaPw4REREREREREf1/XhmMAoDnnnsOf/3rX/HRRx+hubkZkyZNwj//+U+cccYZ/T4vJCQE69evx9NPP43XXnsNDocDs2bNwoMPPgiNRuOh0RMRERERERERUW8kgiAIoz0IX3Do0CFcc8012Lp1K9LT00d7OEREREREREREPskre0YREREREREREZF/YjCKiIiIiIiIiIg8hsEoIiIiIiIiIiLyGAajiIiIiIiIiIjIYxiMIiIiIiIiIiIij2EwioiIiIiIiIiIPEYiCIIw2oPwBSaTCcePH8e4ceOgUqlGezhERERERERERD6JwSgiIiIiIiIiIvIYlukREREREREREZHHMBhFREREREREREQew2AUERERERERERF5DINRRERERERERETkMQxGERERERERERGRxzAYRUREREREREREHsNgFBEREREREREReQyDUURERERERERE5DEMRhERERERERERkccwGEVERERERERERB4jH+0B+DuTyYTjx4+P9jCIiIiIiIiIiAZl3LhxUKlUI/b6DEaNsOPHj+Oaa64Z7WEQEREREREREQ3K1q1bkZ6ePmKvLxEEQRixVye3Z0Z1dHRgyZIlePvttxEUFOS21yXP4jz6F86n/+Bc+j7OoX/hfPoPzqV/4Dz6F86n/xiJuWRmlI9TqVRujSa2tbUBAFJTUxESEuK21yXP4jz6F86n/+Bc+j7OoX/hfPoPzqV/4Dz6F86n//DFuWQDcyIiIiIiIiIi8hgGo4iIiIiIiIiIyGMYjCIiIiIiIiIiIo9hMIqIiIiIiIiIiDyGwSgiIiIiIiIiIvIYBqN8TEBAAO68804EBASM9lDoNHAe/Qvn039wLn0f59C/cD79B+fSP3Ae/Qvn03/44lxKBEEQRnsQREREREREREQ0NjAzioiIiIiIiIiIPIbBKCIiIiIiIiIi8hgGo4iIiIiIiIiIyGMYjCIiIiIiIiIiIo+Rj/YAfElubi4++OAD5OTkoLy8HOHh4cjKysI999yDpKQkl32Liorw9NNPY+/evVAoFDj//PPx4IMPQqPRuOyzZcsWbN++HaWlpQgODkZaWhruuusuZGRk9Dh+dXU1nn76aWzfvh0OhwOzZs3CQw89hMTExEGN3+FwYM2aNXjnnXdQW1sLo9GIFStW4PLLL+/xc27duhW5ubkoKCiAzWZDQUHBMH5j3mmszOPKlSuxbdu2Hs9PSkrC559/Pqhj+YKxMp8A8Pbbb2PDhg0oKytDREQELr30Utx9990ICgoa4m/NO43mXB4/fhybNm1Cbm4uDh06BIvFgq+//hoJCQlD+hnef/99vPnmmzh58iTi4uKwdOlSLF26dESO5a3Gyjy+8sorePXVV3s8NyAgAAcPHhzS8bzZWJlPAPjkk0/wxhtvoLCwEMHBwfjFL36B++67z2X8vmw05/LLL7/Ep59+ioMHD6Kurg6xsbG48MIL8etf/xpqtXrQP8NYP8eOlTnk+dW/5hPg+bU7d8/l//3f/2HTpk0oKChAU1MTNBoNpkyZgjvvvBPJycmD/hlG4/zK1fSG4Le//S327t2LefPmYdKkSaitrcWGDRvQ0dGBd999V5zsqqoqzJ8/H6GhoVi6dCk6Ojrw5ptvIi4uDu+//7643OKqVauwefNmzJkzB5mZmWhtbcW7776L8vJyvPHGGzjrrLPEY7e3t+Oaa65Ba2srbrnlFigUCqxduxaCIOCDDz5ARETEgON/8cUXsXr1alx33XXIyMjA119/je+++w4vvfQSLrvsMnG/V155Bf/617+QnJyM9vZ2FBcX+1UwaqzM48qVK/HJJ5/gySefdHl+aGgofvGLX7jjV+kVxsp8Pv/883jjjTcwd+5cZGdno6ioCO+88w7OPPNMrFmzxs2/1dExmnO5detWPPzww5gwYQJkMhny8/OH/Oa6adMmPPLII5g7dy7OOecc7N69Gx9++CHuvfde3HbbbW49ljcbK/Po/LD06KOPugSEZTJZr8FkXzVW5nPjxo147LHHkJ2djYsvvhjV1dVYt24d9Ho93n//fSiVSjf9RkfPaM7lrFmzEB0djYsuugjx8fEoKCjApk2bkJiYiG3btiEwMHDA8fMcO3bmkOdX/5pPnl9Hdi5fffVVFBUVITU1FREREairq8OWLVtQW1uLd999FykpKQOOf9TOrwIN2p49ewSz2eyy7cSJE8LkyZOFe++9V9z2yCOPCJmZmUJ5ebm4bfv27UJycrKwadMmcdvBgweFtrY2l9draGgQzjzzTOGGG25w2b569WohOTlZOHDggLitsLBQSE1NFV588cUBx15VVSWkp6cLjz32mLjN4XAIixYtEs477zzBZrOJ22trawWTySQIgiA89thjQnJy8oCv70vGyjw+8MADwpQpUwZ8TV83FuazurpaSEtLE+6//36X569fv15ITk4Wvv766wGP5QtGcy4bGxuF1tZWQRAE4Y033hCSk5OFsrKyQY/dZDIJM2fOFG677TaX7ffee68wZcoUoampyW3H8nZjZR5ffvllITk5Waivrx/06/uisTCfZrNZmDFjhrB48WLB4XCI+33zzTdCcnKysG7dukEf05uN5lzu2LGjx3i2bdsmJCcnC++9996AY+c5tstYmUOeX/1nPnl+Hfm57E1tba2QlpYm/OlPfxpw39E8v7Jn1BBMmzZNjFY6GY1GTJw4EcePHxe3ffnll7jgggsQHx8vbjvrrLNgNBrx2WefidsmT56M4OBgl9eLiIjAjBkzXF4PAL744gtkZGQgMzNT3DZ+/HhkZ2e7vGZfvvrqK1itVixatEjcJpFIcOONN6Kqqgr79u0Tt2u12kFFw33VWJlHJ7vdjra2tgFf21eNhfncv38/bDabS6YUAFx66aUAulKf/cFozmV4eDhCQkKGPfacnBw0NTW5zCUALF68GB0dHfjuu+/cdixvN1bmsbu2tjYIfppoPhbm89ixY2hpacEll1wCiUQi7nfhhRciKCiI51ic/lzOmjWrx3guuugiAF3lKAPhObbLWJnD7nh+9e355Pl15OeyN5GRkQgMDERra+uA+47m+ZXBqNMkCALq6urEcpzq6mrU19dj8uTJPfbNzMxEfn7+gK9ZW1uL8PBw8XuHw4GCgoJeXzMjIwOlpaUDBhvy8/MRFBSE8ePH9xiT8/GxzF/n0WQyYfr06Zg+fTpmzpyJxx57DO3t7QOO3df523xaLBYA6JHGrFKpAACHDh0acPy+yhNz6Q6HDx8GgB7jSk9Ph1Qq5TnWj+dx9uzZmD59OqZNm4b77rsPdXV1bh2TN/K3+XSeY3u7ERcYGIj8/Hw4HA63js1bjOZcOv+vDKaknefYvvnzHPL86vvzyfOr5+aypaUFDQ0NKCgowMMPP4y2tjZkZ2cP+JqjeX5lMOo0ffTRR6iursYll1wCAKipqQEAREVF9dg3KioKTU1N4n/K3uzevRv79+8XMx4AiM/p6zW7H7cvtbW1iIyMdIlID+X5/s4f5zEqKgrLly/H008/jZdeegm/+MUvsHHjRixfvhw2m63f4/g6f5tPZ+PDvXv39hgX0PXm5q88MZfuUFtbC5lMhsjISJftAQEBCA8P5znWD+dRrVZjyZIlePzxx/Hyyy9jwYIF+Oyzz7B48WK/zkYF/G8+DQYDJBJJj3Ps8ePH0dDQgM7OTjQ3N7t1bN5iNOfy9ddfh0wmw9y5cwfcl+fYvvnjHPL86j/zyfOr5+byuuuuQ3Z2Nq688kp89tlnuOOOO7BgwYIBxzma51eupncaioqK8Pjjj2Pq1Km4+uqrAQBmsxkAeqTpAf/Laujs7Oz18fr6etx7771ISEjA8uXLxe2DeU3nPn3p65jdxzRW+es83nvvvS77XHbZZTAajfjLX/6CL774okfJl7/wx/lMT09HVlYWXn/9dcTExGDWrFkoKirCY489BoVCMeBxfJWn5tIdOjs7oVAoen1MqVTyHOuH83jTTTe5PD537lxkZmbivvvuw8aNG10afvoTf5xPjUaDSy65BB988AHGjx8vNth94oknoFAoYLVa/fI8O5pz+fHHH2Pz5s1Yvnw5jEbjgGPlObZ3/jqHPL/6z3zy/Oq5uXzmmWfQ1taGsrIybN26FWazGXa7HVJp//lHo3l+ZTBqmGpra7FixQqEhobib3/7G2QyGYD//UPqLarp/AfYW5piR0cHVqxYgfb2dmzcuNGlRnQwr+ncp7a21uXx0NBQBAYGIjAwcMhjGgvG2jzefPPN+Nvf/oaffvrJL4NR/jyfr7zyCu655x489NBDALpWlLn55puxa9cunDhxotffhy/z5FwORUNDA+x2u/h9UFAQgoODERgYCKvV2utzzGYzz7FjZB6vuOIKrFq1Cj/99JNffljy5/l8/PHH0dnZiVWrVmHVqlUAgCuvvBJ6vR5ffvmly4pe/mA053L37t14+OGHcc455+B3v/udy2M8xw7eWJtDnl99dz55fvXMXE6dOlX8+rLLLhMzqB544AEA3nl+ZTBqGFpbW/GrX/0Kra2t2LBhA2JiYsTHoqOjAfT88OncFh4e3iPaabFYcNddd6GgoABr1qwRl350cj6nr9fsftxzzjnH5fFnnnkG11xzDaKiopCTkwNBEFxKgk59/lgyFucxMDAQ4eHhfpkO6+/zGRMTg3feeQfFxcWoq6uDwWBAVFQUzjnnnEHdwfIlnp7LoViwYAHKy8vF7++8807cddddiIqKgt1uR319vUuas8ViQVNTE8+xY2geY2NjeY7txlfmMzQ0FK+99hoqKipQXl6O+Ph46HQ63HDDDdBoNFCr1cMen7cZzbk8cuQI7rjjDkycOBEvv/wy5HLXjyI8xw7OWJ1Dnl9d+cp88vzaxZPvlWFhYTjzzDPx8ccfi8Eobzy/Mhg1RGazGbfffjuKi4vx1ltvYcKECS6Px8TEQKPRIC8vr8dzc3NzkZKS4rLN4XDggQcewM8//4y//vWvmDlzZo/nSaVSJCcn9/maiYmJYlf7t956y+Vx5/hSU1Px/vvvo6ioyGXMBw4cEB8fS8bqPLa1taGxsREajabf/XzNWJpPo9EoBp8KCwtRW1uLa665psd+vmo05nIonn/+eZd08sTERAD/m6u8vDycf/754uN5eXlwOBw9xuXvxuo8CoKA8vJypKWlndb4vM1Yms/4+HhxlaOWlhbk5eUNqn+KrxjNuSwtLcXy5cuh0Wjw+uuv93p3n+fYgY3VOeT51ffnk+dXz75XdnZ2uqym55XnV4EGzWazCbfffruQlpYmfPfdd33u9+c//1nIzMwUKioqxG0//fSTkJycLGzcuNFl30cffVRITk4WNm3a1O+x//WvfwnJyclCbm6uuK2oqEhITU0Vnn/++QHHXllZKaSnpwuPPfaYuM3hcAiLFi0Szj33XMFms/X6vMcee0xITk4e8PV9yViYx87OTqG1tbXH81etWiUkJycLX3755YDH8hVjYT57Y7fbhdtuu03IysoSysvLBzyWLxjNuezujTfeEJKTk4WysrJBP8dkMgkzZ84UVqxY4bL9vvvuE7KysoTGxka3HcvbjZV5rK+v7/H8t99+W0hOThbeeuutQR/T242V+ezNn//8ZyElJUU4cODAoI/pzUZzLmtqaoTZs2cL55xzzrDOdzzHdhkrc8jzqytfn8/e8Pzqvrmsq6vrsa2srEyYOnWqsGjRogHHPprnV4kgCMLIhbr8y1NPPYV169bhwgsvFLvid3fVVVcBACorKzF//nyo1WosW7YMHR0dWLNmDWJiYrBlyxYx/W7t2rV45plnMHXqVNx44409Xu/iiy8Wa2jb2tpw9dVXo729HbfeeivkcjnWrl0Lu92ODz/8cFCZLs899xzWrFmD66+/HhkZGfjqq6/w3Xff4YUXXsAVV1wh7ldeXo4PP/wQAPDdd9/hwIEDuPvuuwF0RbTnz58/tF+clxkL83jy5ElcffXVuOyyyzBu3DgAwI8//ojvv/8e5557LlavXj1gMztfMRbmEwCefPJJWCwWpKSkwGaz4T//+Q9yc3Px7LPP+vz/SafRnMvW1lasX78eQNeqhT/88ANuvfVWhIaGiqv6DGTDhg14/PHHMXfuXJx77rnYvXs3PvjgA/zud7/D7bffLu7njmN5s7Eyj1lZWbj00kuRnJyMgIAA7N27F5988glSUlLwzjvvQKVSDf2X54XGynyuXr0aR48eRVZWFmQyGb7++mv8+OOPuOeee3DHHXcM/RfnhUZzLq+66iocOXIEy5cv71FmotVqcfbZZw84fp5jx84c8vzaxV/mk+fXkZ3Ls846C9nZ2UhJSUFYWBiKi4uxZcsWmEwmrF27FtOmTRtw/KN1fmUwagiWLl2KnTt39vl4QUGB+PWxY8fw7LPPYs+ePVAoFDj//POxcuVKaLVacZ+VK1di27Ztfb7e119/jYSEBPH7qqoqPP3009i+fTscDgdmzZqFBx98EAaDYVDjdzgceP311/Huu++ipqYGRqMRt912G6688kqX/XJycrBs2bJeX2PmzJniP0BfNRbmsaWlBU888QQOHDiAmpoa2O12GAwGXHHFFbj11lv7XDHBF42F+QSArVu34t///jdKS0shkUiQmZmJ22+/HWeeeeagjuMLRnMuT548idmzZ/e6n06nwzfffDOon+G9997Dm2++iZMnTyIuLg6LFy/GTTfd5NITzF3H8lZjZR7/+Mc/Yt++faisrITFYkF8fDzmzJmD22+/XSzR9QdjZT6/++47/P3vf0dRUREcDgcmTZqEm2++udcPFb5qNOdy0qRJfe43lGvLsX6OHStzyPNrF3+ZT55fR3YuX3nlFXz33XcoKytDe3s7NBoNzjjjDKxYsaLfeT7VaJxfGYwiIiIiIiIiIiKP8Y86HSIiIiIiIiIi8gkMRhERERERERERkccwGEVERERERERERB7DYBQREREREREREXkMg1FEREREREREROQxDEYREREREREREZHHMBhFREREREREREQew2AUERERERERERF5DINRRERERERERETkMfLRHgARERGRv5g0adKQnzNz5kysX78eS5cuxc6dO7Fu3TrMmjVrBEZHRERE5B0YjCIiIiJyk6uvvrrHttraWvz44499Pj5u3LgRHxcRERGRN5EIgiCM9iCIiIiI/FVOTg6WLVsGACgoKOhzv4qKCphMJsTHx0OlUnlqeEREREQex8woIiIiIi8QHx8/2kMgIiIi8gg2MCciIiLyAkuXLsWkSZOQk5Pjsn3lypWYNGkStm7diuPHj+Oee+5BdnY2pkyZgmuvvRZfffWVuO+BAwdw++2348wzz0RmZiauv/56/Pzzz30es7OzE2+++Sauu+46zJgxAxkZGZg7dy6ee+45NDY2jtjPSkRERGMbg1FEREREPuDw4cO49tprceTIEWRnZyMlJQV5eXm488478fnnn+Orr77C4sWLUV1djezsbCQlJWH//v1Yvnw5du/e3eP1qqursXDhQqxatQolJSXIyMjA+eefD6vVijVr1uDaa69FeXn5KPykRERE5O9YpkdERETkA9avX4977rkHt99+OyQSibjtySefxDPPPAOTyYQnn3wS8+fPF5/z9NNP49///jf+/ve/46233hK3C4KAe+65B0ePHsWCBQvw4IMPIiQkBABgs9nw4osv4s0338SDDz6IdevWefTnJCIiIv/HzCgiIiIiH5CZmekSiAKAG2+8EeHh4aiqqkJ2drZLIAoA7rjjDgDArl27YLVaxe0//PAD9u7di9TUVDz22GNiIAoA5HI57r//fiQnJyMnJwdHjx4d2R+MiIiIxhwGo4iIiIh8wHnnnecSiAK6Akc6nQ4AcP755/d4TkREBMLDw2G1WtHU1CRu//777wEAc+bMgVzeM1FeKpVixowZAIB9+/a560cgIiIiAsAyPSIiIiKfEBcX1+v24ODgAR9vamqC2WwWt5WVlQEA/va3v+Fvf/tbv8dtaGgYznCJiIiI+sRgFBEREZEPkEr7T2gf6PHuHA4HAGD69OnQ6/X97jtx4sRBvy4RERHRYDAYRURERDTGOLOoZs+ejV/+8pejPBoiIiIaa9gzioiIiGiMOe+88wAAn3/+OQRBGOXREBER0VjDYBQRERHRGDN79mxkZGQgNzcXDz74YK99oZqbm/HOO+/AZrONwgiJiIjIn7FMj4iIiGiMkUql+Pvf/44VK1Zg27Zt+OKLLzBp0iTEx8fDarWirKwMR48ehd1uxzXXXNPrintEREREw8UrCyIiIqIxKCYmBu+99x62bt2KTz/9FAUFBTh48CDCwsIQHR2NG264Ab/4xS+gVCpHe6hERETkZyQCGwUQEREREREREZGHsGcUERERERERERF5DINRRERERERERETkMQxGERERERERERGRxzAYRUREREREREREHsNgFBEREREREREReQyDUURERERERERE5DEMRhERERERERERkccwGEVERERERERERB7DYBQREREREREREXkMg1FEREREREREROQxDEYREREREREREZHHMBhFREREREREREQew2AUERERERERERF5zP8D2ssyl8xEYKQAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -970,7 +970,7 @@
     "\n",
     "# Plot the factor with a contrasting color and thicker line\n",
     "factor_data = df[df['Label'] == 'Factor'].reset_index()\n",
-    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Pandemic Factor')\n",
+    "ax.plot(factor_data['Time'], factor_data['Normalized Value'], color='black', linewidth=2, label='Economic Factor')\n",
     "\n",
     "# Customize the plot appearance\n",
     "ax.spines['top'].set_visible(False)\n",
@@ -1008,7 +1008,7 @@
     "\n",
     "![](imgs/2.png)\n",
     "\n",
-    "## Cmoparative Run Analysis\n",
+    "## Comparative Run Analysis\n",
     "\n",
     "![](imgs/3.png)"
    ]

From ce2dab90e4254b3c980961c2f4f3861f39c4a43d Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 20:10:44 -0700
Subject: [PATCH 08/15] Updates

---
 reports/figures/figures.ipynb | 957 +++++++++++++++++++++++++++++++++-
 1 file changed, 930 insertions(+), 27 deletions(-)

diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
index eaffa9d..697cf46 100644
--- a/reports/figures/figures.ipynb
+++ b/reports/figures/figures.ipynb
@@ -9,31 +9,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 125,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "from dfmdash.results import parse_run_results\n",
-    "from dfmdash.dfm import ModelRunner\n",
+    "from datetime import datetime\n",
     "from pathlib import Path\n",
     "\n",
-    "from datetime import datetime\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
     "import pandas as pd\n",
     "import seaborn as sns\n",
-    "\n",
     "from sklearn.preprocessing import MinMaxScaler\n",
+    "from SyntheticControlMethods import DiffSynth, Synth\n",
+    "\n",
+    "from dfmdash.dfm import ModelRunner\n",
+    "from dfmdash.results import parse_run_results\n",
     "\n",
     "plt.style.use(\"ggplot\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 126,
    "metadata": {},
    "outputs": [
     {
@@ -262,7 +257,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 126,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -274,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 127,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -299,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 128,
    "metadata": {},
    "outputs": [
     {
@@ -482,7 +477,7 @@
        "4      0.0    MN  "
       ]
      },
-     "execution_count": 55,
+     "execution_count": 128,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -508,7 +503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 129,
    "metadata": {},
    "outputs": [
     {
@@ -587,7 +582,7 @@
        "249 2020-06-01  Cases1          0.016776  Data"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 129,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -635,7 +630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 130,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -654,7 +649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 131,
    "metadata": {},
    "outputs": [
     {
@@ -711,7 +706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 132,
    "metadata": {},
    "outputs": [
     {
@@ -768,7 +763,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 133,
    "metadata": {},
    "outputs": [
     {
@@ -847,7 +842,7 @@
        "39 2020-06-01  Cons2          0.154480  Data"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 133,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -889,7 +884,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 134,
    "metadata": {},
    "outputs": [
     {
@@ -946,7 +941,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 135,
    "metadata": {},
    "outputs": [
     {
@@ -994,6 +989,914 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SCM Figure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>GDP</th>\n",
+       "      <th>Cons3</th>\n",
+       "      <th>Cons4</th>\n",
+       "      <th>Cons5</th>\n",
+       "      <th>Cons2</th>\n",
+       "      <th>Cases5</th>\n",
+       "      <th>Cases2</th>\n",
+       "      <th>Deaths5</th>\n",
+       "      <th>Deaths2</th>\n",
+       "      <th>Cases3</th>\n",
+       "      <th>Deaths3</th>\n",
+       "      <th>Cases4</th>\n",
+       "      <th>Cases1</th>\n",
+       "      <th>Hosp2</th>\n",
+       "      <th>Hosp1</th>\n",
+       "      <th>Deaths4</th>\n",
+       "      <th>Deaths1</th>\n",
+       "      <th>Pandemic</th>\n",
+       "      <th>Consumption</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time</th>\n",
+       "      <th>State</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2/1/2012</th>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.653034</td>\n",
+       "      <td>0.343526</td>\n",
+       "      <td>0.285676</td>\n",
+       "      <td>0.599939</td>\n",
+       "      <td>0.237297</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-1.161055</td>\n",
+       "      <td>0.170095</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3/1/2012</th>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.658531</td>\n",
+       "      <td>0.364740</td>\n",
+       "      <td>0.309120</td>\n",
+       "      <td>0.616711</td>\n",
+       "      <td>0.266172</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-1.171222</td>\n",
+       "      <td>-0.025467</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4/1/2012</th>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.603592</td>\n",
+       "      <td>0.403734</td>\n",
+       "      <td>0.352081</td>\n",
+       "      <td>0.647603</td>\n",
+       "      <td>0.319136</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-1.171824</td>\n",
+       "      <td>-0.416690</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5/1/2012</th>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.648975</td>\n",
+       "      <td>0.564603</td>\n",
+       "      <td>0.528832</td>\n",
+       "      <td>0.775285</td>\n",
+       "      <td>0.537231</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-1.171860</td>\n",
+       "      <td>-2.142386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6/1/2012</th>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.637306</td>\n",
+       "      <td>0.523144</td>\n",
+       "      <td>0.483472</td>\n",
+       "      <td>0.742286</td>\n",
+       "      <td>0.481186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>-1.171862</td>\n",
+       "      <td>-1.655460</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     GDP     Cons3     Cons4     Cons5     Cons2  Cases5  \\\n",
+       "Time     State                                                             \n",
+       "2/1/2012 MN     0.653034  0.343526  0.285676  0.599939  0.237297     0.0   \n",
+       "3/1/2012 MN     0.658531  0.364740  0.309120  0.616711  0.266172     0.0   \n",
+       "4/1/2012 MN     0.603592  0.403734  0.352081  0.647603  0.319136     0.0   \n",
+       "5/1/2012 MN     0.648975  0.564603  0.528832  0.775285  0.537231     0.0   \n",
+       "6/1/2012 MN     0.637306  0.523144  0.483472  0.742286  0.481186     0.0   \n",
+       "\n",
+       "                Cases2  Deaths5  Deaths2  Cases3  Deaths3  Cases4  Cases1  \\\n",
+       "Time     State                                                              \n",
+       "2/1/2012 MN        0.0      0.0      0.0     0.0      0.0     0.0     0.0   \n",
+       "3/1/2012 MN        0.0      0.0      0.0     0.0      0.0     0.0     0.0   \n",
+       "4/1/2012 MN        0.0      0.0      0.0     0.0      0.0     0.0     0.0   \n",
+       "5/1/2012 MN        0.0      0.0      0.0     0.0      0.0     0.0     0.0   \n",
+       "6/1/2012 MN        0.0      0.0      0.0     0.0      0.0     0.0     0.0   \n",
+       "\n",
+       "                Hosp2  Hosp1  Deaths4  Deaths1  Pandemic  Consumption  \n",
+       "Time     State                                                         \n",
+       "2/1/2012 MN       0.0    0.0      0.0      0.0 -1.161055     0.170095  \n",
+       "3/1/2012 MN       0.0    0.0      0.0      0.0 -1.171222    -0.025467  \n",
+       "4/1/2012 MN       0.0    0.0      0.0      0.0 -1.171824    -0.416690  \n",
+       "5/1/2012 MN       0.0    0.0      0.0      0.0 -1.171860    -2.142386  \n",
+       "6/1/2012 MN       0.0    0.0      0.0      0.0 -1.171862    -1.655460  "
+      ]
+     },
+     "execution_count": 136,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result_dir = Path(\"./results\")\n",
+    "factors_path = result_dir / \"factors.csv\"\n",
+    "\n",
+    "fdf = pd.read_csv(factors_path)\n",
+    "cols_to_drop = [x for x in fdf.columns if \"Time.\" in x]\n",
+    "fdf = fdf.drop(columns=cols_to_drop)\n",
+    "fdf.columns = [x.lstrip(\"Factor_\") for x in fdf.columns]\n",
+    "\n",
+    "# Process Data\n",
+    "dfs = []\n",
+    "for subdir in result_dir.iterdir():\n",
+    "    if not subdir.is_dir():\n",
+    "        continue\n",
+    "    state = pd.read_csv(subdir / \"df.csv\")\n",
+    "    state[\"State\"] = subdir.stem\n",
+    "    dfs.append(state)\n",
+    "df = pd.concat(dfs)\n",
+    "df = df.set_index([\"Time\", \"State\"])\n",
+    "columns = [x for x in fdf.columns if x not in df.columns]\n",
+    "min_time = pd.to_datetime(fdf[\"Time\"]).min()\n",
+    "max_time = pd.to_datetime(fdf[\"Time\"].max())\n",
+    "states = sorted(fdf.State.unique())\n",
+    "fdf = fdf[columns].set_index([\"Time\", \"State\"])\n",
+    "df = df.join(fdf)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         1 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.12456D+01    |proj g|=  5.00000D-01\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      1     17      3     0     3   5.000D-01   4.125D+01\n",
+      "  F =   41.245615368651137     \n",
+      "\n",
+      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  6.67586D+01    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   6.676D+01\n",
+      "  F =   66.758611291962936     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  4.36631D+02    |proj g|=  0.00000D+00\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      0      1      0     0     0   0.000D+00   4.366D+02\n",
+      "  F =   436.63099371809011     \n",
+      "\n",
+      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n",
+      "RUNNING THE L-BFGS-B CODE\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Machine precision = 2.220D-16\n",
+      " N =            3     M =           10\n",
+      "\n",
+      "At X0         0 variables are exactly at the bounds\n",
+      "\n",
+      "At iterate    0    f=  1.14206D+02    |proj g|=  2.13081D+00\n",
+      "  ys=-1.418E+10  -gs= 3.667E+02 BFGS update SKIPPED\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " Warning:  more than 10 function and gradient\n",
+      "   evaluations in the last line search.  Termination\n",
+      "   may possibly be caused by a bad search direction.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "At iterate    3    f=  4.12456D+01    |proj g|=  5.56677D-06\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "Tit   = total number of iterations\n",
+      "Tnf   = total number of function evaluations\n",
+      "Tnint = total number of segments explored during Cauchy searches\n",
+      "Skip  = number of BFGS updates skipped\n",
+      "Nact  = number of active bounds at final generalized Cauchy point\n",
+      "Projg = norm of the final projected gradient\n",
+      "F     = final function value\n",
+      "\n",
+      "           * * *\n",
+      "\n",
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
+      "    3      4     40     10     1     3   1.000D+00   4.125D+01\n",
+      "  F =   41.245615251205507     \n",
+      "\n",
+      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " Bad direction in the line search;\n",
+      "   refresh the lbfgs memory and restart the iteration.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Weight</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>MN</th>\n",
+       "      <td>0.058439</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>IL</th>\n",
+       "      <td>0.098993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>VA</th>\n",
+       "      <td>0.161583</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>RI</th>\n",
+       "      <td>0.102443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>CT</th>\n",
+       "      <td>0.214926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PA</th>\n",
+       "      <td>0.057350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NJ</th>\n",
+       "      <td>0.078189</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NY</th>\n",
+       "      <td>0.108720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MI</th>\n",
+       "      <td>0.058789</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ME</th>\n",
+       "      <td>0.060567</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Weight\n",
+       "MN  0.058439\n",
+       "IL  0.098993\n",
+       "VA  0.161583\n",
+       "RI  0.102443\n",
+       "CT  0.214926\n",
+       "PA  0.057350\n",
+       "NJ  0.078189\n",
+       "NY  0.108720\n",
+       "MI  0.058789\n",
+       "ME  0.060567"
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Select Variables\n",
+    "treated_unit = 'MA'\n",
+    "predictor_vars = ['Consumption']\n",
+    "outcome_var = 'Pandemic'\n",
+    "treatment_time = datetime(2022, 2, 1)\n",
+    "\n",
+    "invert = True\n",
+    "\n",
+    "\n",
+    "df = df[[*predictor_vars, outcome_var]].reset_index()\n",
+    "sc = Synth(df, outcome_var, \"State\", \"Time\", str(treatment_time), treated_unit, n_optim=10, pen=\"auto\")\n",
+    "\n",
+    "\n",
+    "sc.original_data.weight_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>MA</th>\n",
+       "      <th>Synthetic MA</th>\n",
+       "      <th>WMAPE</th>\n",
+       "      <th>Importance</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Consumption</th>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pandemic</th>\n",
+       "      <td>-0.23</td>\n",
+       "      <td>-0.10</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               MA  Synthetic MA  WMAPE  Importance\n",
+       "Consumption -0.15         -0.14   0.10         1.0\n",
+       "Pandemic    -0.23         -0.10   0.31         0.0"
+      ]
+     },
+     "execution_count": 138,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sc.original_data.comparison_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = sc.original_data\n",
+    "synth = data.synth_outcome\n",
+    "treated_outcome_all = data.treated_outcome_all\n",
+    "treatment_period = data.treatment_period\n",
+    "treated_label = \"Treated\"\n",
+    "synth_label = \"Synthetic Control\"\n",
+    "treatment_label = \"Treatment\"\n",
+    "\n",
+    "# Determine appropriate limits for y-axis\n",
+    "max_value = max(np.max(treated_outcome_all), np.max(synth))\n",
+    "min_value = min(np.min(treated_outcome_all), np.min(synth))\n",
+    "\n",
+    "# Create x/y\n",
+    "x = df[df.State == treated_unit].Time\n",
+    "ys = synth[0, :]\n",
+    "y = df[df.State == treated_unit][outcome_var]\n",
+    "\n",
+    "if invert:\n",
+    "    y *= -1\n",
+    "    ys *= -1\n",
+    "\n",
+    "# fig.add_trace(go.Scatter(x=x, y=y, mode=\"lines\", name=f\"{treated_unit} {outcome_var}\"))\n",
+    "# fig.add_trace(go.Scatter(x=x, y=ys, mode=\"lines\", name=f\"Synthetic {outcome_var}\", line=dict(dash=\"dot\")))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2022-12-01 00:00:00')"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = pd.to_datetime(x)\n",
+    "x.max()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Original"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(-1.0, 12.0)"
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.lineplot(x=x, y=y, label=f\"{treated_unit} {outcome_var}\", c='black')\n",
+    "sns.lineplot(x=x, y=ys, label=f\"Synthetic {outcome_var}\", c='grey', linestyle='--')\n",
+    "plt.xlim([datetime(2022, 1,1), x.max()])\n",
+    "plt.ylim([-1, 12])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pointwise"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(18993.0, 19327.0)"
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "normalized_treated_outcome = data.treated_outcome_all - ys.reshape(-1, 1)\n",
+    "normalized_treated_outcome = normalized_treated_outcome[:, 0]\n",
+    "normalized_synth = np.zeros(data.periods_all)\n",
+    "most_extreme_value = np.max(np.absolute(normalized_treated_outcome))\n",
+    "\n",
+    "if invert:\n",
+    "    normalized_treated_outcome *= -1\n",
+    "    normalized_synth *= -1\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.lineplot(x=x, y=normalized_treated_outcome, label=f\"{treated_unit} {outcome_var}\", c='black')\n",
+    "sns.lineplot(x=x, y=normalized_synth, label=f\"Synthetic {outcome_var}\", c='grey', linestyle='--')\n",
+    "plt.xlim([datetime(2022, 1,1), x.max()])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

From 8614926cbd349719b15d2e880192e277f2fa7c59 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 20:11:57 -0700
Subject: [PATCH 09/15] Add results

---
 DFM-results-no-batchvar/df.csv           |   37 +
 DFM-results-no-batchvar/factors.csv      |   37 +
 DFM-results-no-batchvar/model.csv        |   17 +
 DFM-results-no-batchvar/raw.csv          |   37 +
 DFM-results-no-batchvar/results.csv      |   26 +
 DFM-results-no-batchvar/run-info.yaml    |   21 +
 DFM-results/AK/df.csv                    |   36 +
 DFM-results/AK/factors.csv               |   36 +
 DFM-results/AK/model.csv                 |   16 +
 DFM-results/AK/raw.csv                   |   36 +
 DFM-results/AK/results.csv               |   25 +
 DFM-results/AK/run-info.yaml             |   20 +
 DFM-results/CA/df.csv                    |   36 +
 DFM-results/CA/factors.csv               |   36 +
 DFM-results/CA/model.csv                 |   16 +
 DFM-results/CA/raw.csv                   |   36 +
 DFM-results/CA/results.csv               |   25 +
 DFM-results/CA/run-info.yaml             |   20 +
 DFM-results/factors.csv                  |   71 ++
 reports/figures/results/CT/df.csv        |  132 ++
 reports/figures/results/CT/factors.csv   |  132 ++
 reports/figures/results/CT/model.csv     |   29 +
 reports/figures/results/CT/raw.csv       |  132 ++
 reports/figures/results/CT/results.csv   |   38 +
 reports/figures/results/CT/run-info.yaml |   45 +
 reports/figures/results/IL/df.csv        |  132 ++
 reports/figures/results/IL/factors.csv   |  132 ++
 reports/figures/results/IL/model.csv     |   29 +
 reports/figures/results/IL/raw.csv       |  132 ++
 reports/figures/results/IL/results.csv   |   38 +
 reports/figures/results/IL/run-info.yaml |   45 +
 reports/figures/results/MA/df.csv        |  132 ++
 reports/figures/results/MA/factors.csv   |  132 ++
 reports/figures/results/MA/model.csv     |   29 +
 reports/figures/results/MA/raw.csv       |  132 ++
 reports/figures/results/MA/results.csv   |   38 +
 reports/figures/results/MA/run-info.yaml |   45 +
 reports/figures/results/ME/df.csv        |  132 ++
 reports/figures/results/ME/factors.csv   |  132 ++
 reports/figures/results/ME/model.csv     |   29 +
 reports/figures/results/ME/raw.csv       |  132 ++
 reports/figures/results/ME/results.csv   |   38 +
 reports/figures/results/ME/run-info.yaml |   45 +
 reports/figures/results/MI/df.csv        |  132 ++
 reports/figures/results/MI/factors.csv   |  132 ++
 reports/figures/results/MI/model.csv     |   29 +
 reports/figures/results/MI/raw.csv       |  132 ++
 reports/figures/results/MI/results.csv   |   38 +
 reports/figures/results/MI/run-info.yaml |   45 +
 reports/figures/results/MN/df.csv        |  132 ++
 reports/figures/results/MN/factors.csv   |  132 ++
 reports/figures/results/MN/model.csv     |   29 +
 reports/figures/results/MN/raw.csv       |  132 ++
 reports/figures/results/MN/results.csv   |   38 +
 reports/figures/results/MN/run-info.yaml |   45 +
 reports/figures/results/NJ/df.csv        |  132 ++
 reports/figures/results/NJ/factors.csv   |  132 ++
 reports/figures/results/NJ/model.csv     |   29 +
 reports/figures/results/NJ/raw.csv       |  132 ++
 reports/figures/results/NJ/results.csv   |   38 +
 reports/figures/results/NJ/run-info.yaml |   45 +
 reports/figures/results/NY/df.csv        |  132 ++
 reports/figures/results/NY/factors.csv   |  132 ++
 reports/figures/results/NY/model.csv     |   29 +
 reports/figures/results/NY/raw.csv       |  132 ++
 reports/figures/results/NY/results.csv   |   38 +
 reports/figures/results/NY/run-info.yaml |   45 +
 reports/figures/results/PA/df.csv        |  132 ++
 reports/figures/results/PA/factors.csv   |  132 ++
 reports/figures/results/PA/model.csv     |   29 +
 reports/figures/results/PA/raw.csv       |  132 ++
 reports/figures/results/PA/results.csv   |   38 +
 reports/figures/results/PA/run-info.yaml |   45 +
 reports/figures/results/RI/df.csv        |  132 ++
 reports/figures/results/RI/factors.csv   |  132 ++
 reports/figures/results/RI/model.csv     |   29 +
 reports/figures/results/RI/raw.csv       |  132 ++
 reports/figures/results/RI/results.csv   |   38 +
 reports/figures/results/RI/run-info.yaml |   45 +
 reports/figures/results/VA/df.csv        |  132 ++
 reports/figures/results/VA/factors.csv   |  132 ++
 reports/figures/results/VA/model.csv     |   29 +
 reports/figures/results/VA/raw.csv       |  132 ++
 reports/figures/results/VA/results.csv   |   38 +
 reports/figures/results/VA/run-info.yaml |   45 +
 reports/figures/results/factors.csv      | 1442 ++++++++++++++++++++++
 86 files changed, 7614 insertions(+)
 create mode 100644 DFM-results-no-batchvar/df.csv
 create mode 100644 DFM-results-no-batchvar/factors.csv
 create mode 100644 DFM-results-no-batchvar/model.csv
 create mode 100644 DFM-results-no-batchvar/raw.csv
 create mode 100644 DFM-results-no-batchvar/results.csv
 create mode 100644 DFM-results-no-batchvar/run-info.yaml
 create mode 100644 DFM-results/AK/df.csv
 create mode 100644 DFM-results/AK/factors.csv
 create mode 100644 DFM-results/AK/model.csv
 create mode 100644 DFM-results/AK/raw.csv
 create mode 100644 DFM-results/AK/results.csv
 create mode 100644 DFM-results/AK/run-info.yaml
 create mode 100644 DFM-results/CA/df.csv
 create mode 100644 DFM-results/CA/factors.csv
 create mode 100644 DFM-results/CA/model.csv
 create mode 100644 DFM-results/CA/raw.csv
 create mode 100644 DFM-results/CA/results.csv
 create mode 100644 DFM-results/CA/run-info.yaml
 create mode 100644 DFM-results/factors.csv
 create mode 100644 reports/figures/results/CT/df.csv
 create mode 100644 reports/figures/results/CT/factors.csv
 create mode 100644 reports/figures/results/CT/model.csv
 create mode 100644 reports/figures/results/CT/raw.csv
 create mode 100644 reports/figures/results/CT/results.csv
 create mode 100644 reports/figures/results/CT/run-info.yaml
 create mode 100644 reports/figures/results/IL/df.csv
 create mode 100644 reports/figures/results/IL/factors.csv
 create mode 100644 reports/figures/results/IL/model.csv
 create mode 100644 reports/figures/results/IL/raw.csv
 create mode 100644 reports/figures/results/IL/results.csv
 create mode 100644 reports/figures/results/IL/run-info.yaml
 create mode 100644 reports/figures/results/MA/df.csv
 create mode 100644 reports/figures/results/MA/factors.csv
 create mode 100644 reports/figures/results/MA/model.csv
 create mode 100644 reports/figures/results/MA/raw.csv
 create mode 100644 reports/figures/results/MA/results.csv
 create mode 100644 reports/figures/results/MA/run-info.yaml
 create mode 100644 reports/figures/results/ME/df.csv
 create mode 100644 reports/figures/results/ME/factors.csv
 create mode 100644 reports/figures/results/ME/model.csv
 create mode 100644 reports/figures/results/ME/raw.csv
 create mode 100644 reports/figures/results/ME/results.csv
 create mode 100644 reports/figures/results/ME/run-info.yaml
 create mode 100644 reports/figures/results/MI/df.csv
 create mode 100644 reports/figures/results/MI/factors.csv
 create mode 100644 reports/figures/results/MI/model.csv
 create mode 100644 reports/figures/results/MI/raw.csv
 create mode 100644 reports/figures/results/MI/results.csv
 create mode 100644 reports/figures/results/MI/run-info.yaml
 create mode 100644 reports/figures/results/MN/df.csv
 create mode 100644 reports/figures/results/MN/factors.csv
 create mode 100644 reports/figures/results/MN/model.csv
 create mode 100644 reports/figures/results/MN/raw.csv
 create mode 100644 reports/figures/results/MN/results.csv
 create mode 100644 reports/figures/results/MN/run-info.yaml
 create mode 100644 reports/figures/results/NJ/df.csv
 create mode 100644 reports/figures/results/NJ/factors.csv
 create mode 100644 reports/figures/results/NJ/model.csv
 create mode 100644 reports/figures/results/NJ/raw.csv
 create mode 100644 reports/figures/results/NJ/results.csv
 create mode 100644 reports/figures/results/NJ/run-info.yaml
 create mode 100644 reports/figures/results/NY/df.csv
 create mode 100644 reports/figures/results/NY/factors.csv
 create mode 100644 reports/figures/results/NY/model.csv
 create mode 100644 reports/figures/results/NY/raw.csv
 create mode 100644 reports/figures/results/NY/results.csv
 create mode 100644 reports/figures/results/NY/run-info.yaml
 create mode 100644 reports/figures/results/PA/df.csv
 create mode 100644 reports/figures/results/PA/factors.csv
 create mode 100644 reports/figures/results/PA/model.csv
 create mode 100644 reports/figures/results/PA/raw.csv
 create mode 100644 reports/figures/results/PA/results.csv
 create mode 100644 reports/figures/results/PA/run-info.yaml
 create mode 100644 reports/figures/results/RI/df.csv
 create mode 100644 reports/figures/results/RI/factors.csv
 create mode 100644 reports/figures/results/RI/model.csv
 create mode 100644 reports/figures/results/RI/raw.csv
 create mode 100644 reports/figures/results/RI/results.csv
 create mode 100644 reports/figures/results/RI/run-info.yaml
 create mode 100644 reports/figures/results/VA/df.csv
 create mode 100644 reports/figures/results/VA/factors.csv
 create mode 100644 reports/figures/results/VA/model.csv
 create mode 100644 reports/figures/results/VA/raw.csv
 create mode 100644 reports/figures/results/VA/results.csv
 create mode 100644 reports/figures/results/VA/run-info.yaml
 create mode 100644 reports/figures/results/factors.csv

diff --git a/DFM-results-no-batchvar/df.csv b/DFM-results-no-batchvar/df.csv
new file mode 100644
index 0000000..cf45b74
--- /dev/null
+++ b/DFM-results-no-batchvar/df.csv
@@ -0,0 +1,37 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7,Factor
+1/1/2020,0.0,0.0,0.0,0.0,0.2045454545
+2/1/2020,0.0,0.0,0.0,0.0,0.0
+3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0
+4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711
+5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198
+6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355
+7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868
+8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975
+9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545
+10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934
+11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719
+12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314
+1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397
+2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645
+3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562
+4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116
+5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983
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+7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223
+8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835
+9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083
+10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0
+11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438
+12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231
+1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256
+2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843
+3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25
+4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736
+5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496
+6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322
+7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165
+8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322
+9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479
+10/1/2022,0.0,0.0,0.0135738176,0.0293797606,0.041322314
+11/1/2022,0.0,0.0,0.0134850999,0.0054406964,0.0289256198
+12/1/2022,0.0,0.0,0.0121365899,0.0087051143,0.0061983471
diff --git a/DFM-results-no-batchvar/factors.csv b/DFM-results-no-batchvar/factors.csv
new file mode 100644
index 0000000..2640484
--- /dev/null
+++ b/DFM-results-no-batchvar/factors.csv
@@ -0,0 +1,37 @@
+Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,Factor_Factor,Factor_Batch
+1/1/2020,1.610883028959816,3.3573703827006685,0.0,0.0,0.0,0.0,0.2045454545,Batch1
+2/1/2020,1.8552851540307875,0.3182710830321631,0.0,0.0,0.0,0.0,0.0,Batch1
+3/1/2020,1.6552691511663973,-0.03496464325158444,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0,Batch1
+4/1/2020,1.5060327578318145,0.2609625484854403,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711,Batch1
+5/1/2020,1.5822915162968254,0.015742107064223687,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198,Batch1
+6/1/2020,1.507393451911332,-0.057169118188309664,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355,Batch1
+7/1/2020,1.0166573716212814,-0.23198058139077582,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868,Batch1
+8/1/2020,0.6581833928406112,0.41636855808248663,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975,Batch1
+9/1/2020,0.6802475877868829,0.41386016910983087,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545,Batch1
+10/1/2020,-0.00669797508764125,-0.7212222820800565,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934,Batch1
+11/1/2020,-2.0062125701213525,-0.44540808983743296,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719,Batch1
+12/1/2020,-2.567583222537974,1.878666814467182,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314,Batch1
+1/1/2021,-1.0516351565514146,1.1968316193892663,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397,Batch1
+2/1/2021,0.4841344871542008,-0.08100831316992607,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645,Batch1
+3/1/2021,0.7055592591405191,-0.23103088476876787,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562,Batch1
+4/1/2021,0.5268222312557367,0.015071472916055484,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116,Batch1
+5/1/2021,0.5839591823975601,0.8983534551514998,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983,Batch1
+6/1/2021,1.1755209395673514,0.12650751235319618,0.0723684211,0.0529801325,0.0149666865,0.0957562568,0.1301652893,Batch1
+7/1/2021,0.6918526870812182,-0.7474570982086242,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223,Batch1
+8/1/2021,-1.4286438283886889,-0.647399457682832,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835,Batch1
+9/1/2021,-3.919084663048424,0.449752563922739,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083,Batch1
+10/1/2021,-4.566727694386866,1.6630387285634711,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0,Batch1
+11/1/2021,-3.330557990239016,2.3433690196172745,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438,Batch1
+12/1/2021,-1.0106386091513873,0.3152248657130795,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231,Batch1
+1/1/2022,-2.5775837369971053,-5.440350565039624,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256,Batch1
+2/1/2022,-1.7916992413114525,-0.04747365929138772,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843,Batch1
+3/1/2022,-0.3750866152544976,0.17207154446381345,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25,Batch1
+4/1/2022,0.5070492328366724,-0.158650866200451,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736,Batch1
+5/1/2022,0.6310723249012429,-0.5066951180553934,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496,Batch1
+6/1/2022,0.7050883292912593,-0.6271550100461651,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322,Batch1
+7/1/2022,0.6424414238000056,-0.6036074724851817,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165,Batch1
+8/1/2022,0.694448495845538,-0.20531585345548342,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322,Batch1
+9/1/2022,0.9872153072524922,0.36946909355209284,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479,Batch1
+10/1/2022,1.4484401123669604,-0.02160230913226202,0.0,0.0,0.0135738176,0.0293797606,0.041322314,Batch1
+11/1/2022,1.6052565274113881,-0.019551791345665842,0.0,0.0,0.0134850999,0.0054406964,0.0289256198,Batch1
+12/1/2022,1.7005444671143124,-0.12157200258452772,0.0,0.0,0.0121365899,0.0087051143,0.0061983471,Batch1
diff --git a/DFM-results-no-batchvar/model.csv b/DFM-results-no-batchvar/model.csv
new file mode 100644
index 0000000..ed1e6bd
--- /dev/null
+++ b/DFM-results-no-batchvar/model.csv
@@ -0,0 +1,17 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,5
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2020-01-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Global,Pandemic
+Pandemic_10  ,X     ,X
+Pandemic_9   ,X     ,X
+Pandemic_1   ,X     ,X
+Pandemic_7   ,X     ,X
+Factor       ,X     ,X
+Factor blocks:
+ block  ,order
+Global  ,1
+Pandemic,1
diff --git a/DFM-results-no-batchvar/raw.csv b/DFM-results-no-batchvar/raw.csv
new file mode 100644
index 0000000..683659e
--- /dev/null
+++ b/DFM-results-no-batchvar/raw.csv
@@ -0,0 +1,37 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7,Factor,Batch
+1/1/2020,0.0,0.0,0.0,0.0,0.2045454545,Batch1
+2/1/2020,0.0,0.0,0.0,0.0,0.0,Batch1
+3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0,Batch1
+4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711,Batch1
+5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198,Batch1
+6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355,Batch1
+7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868,Batch1
+8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975,Batch1
+9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545,Batch1
+10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934,Batch1
+11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719,Batch1
+12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314,Batch1
+1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397,Batch1
+2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645,Batch1
+3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562,Batch1
+4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116,Batch1
+5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983,Batch1
+6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568,0.1301652893,Batch1
+7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223,Batch1
+8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835,Batch1
+9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083,Batch1
+10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0,Batch1
+11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438,Batch1
+12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231,Batch1
+1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256,Batch1
+2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843,Batch1
+3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25,Batch1
+4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736,Batch1
+5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496,Batch1
+6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322,Batch1
+7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165,Batch1
+8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322,Batch1
+9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479,Batch1
+10/1/2022,0.0,0.0,0.0135738176,0.0293797606,0.041322314,Batch1
+11/1/2022,0.0,0.0,0.0134850999,0.0054406964,0.0289256198,Batch1
+12/1/2022,0.0,0.0,0.0121365899,0.0087051143,0.0061983471,Batch1
diff --git a/DFM-results-no-batchvar/results.csv b/DFM-results-no-batchvar/results.csv
new file mode 100644
index 0000000..9422400
--- /dev/null
+++ b/DFM-results-no-batchvar/results.csv
@@ -0,0 +1,26 @@
+                          Dynamic Factor Results
+Dep. Variable:  ,"Pandemic_10", and 4 more,  No. Observations:  ,36
+Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-155.781
+                ,+ 2 factors in 2 blocks  ,  AIC                ,359.562
+                ,+ AR(1) idiosyncratic    ,  BIC                ,397.567
+Date:           ,Sat, 19 Oct 2024         ,  HQIC               ,372.827
+Time:           ,16:43:12                 ,  EM Iterations      ,204
+Sample:         ,01-01-2020               ,                     ,
+                ,- 12-01-2022             ,                     ,
+Covariance Type:,Not computed             ,                     ,
+                    Observation equation:
+Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
+Pandemic_10     ,-0.29 ,-0.01   ,0.62                   ,0.49
+Pandemic_9      ,-0.49 ,0.19    ,0.00                   ,0.17
+Pandemic_1      ,-0.39 ,-0.42   ,0.10                   ,0.18
+Pandemic_7      ,-0.49 ,-0.09   ,0.69                   ,0.14
+Factor          ,-0.50 ,0.24    ,0.53                   ,0.04
+    Transition: Factor block 0
+      ,L1.Global,   error variance
+Global,0.83     ,0.98
+      Transition: Factor block 1
+        ,L1.Pandemic,   error variance
+Pandemic,0.13       ,1.70
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/DFM-results-no-batchvar/run-info.yaml b/DFM-results-no-batchvar/run-info.yaml
new file mode 100644
index 0000000..9c7c007
--- /dev/null
+++ b/DFM-results-no-batchvar/run-info.yaml
@@ -0,0 +1,21 @@
+diff_cols: []
+factor_map:
+  Factor: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_1: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_10: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_7: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_9: !!python/tuple
+  - Global
+  - Pandemic
+global_multiplier: 1
+logdiff_cols: []
+maxiter: 10000
+non_stationary_cols: null
diff --git a/DFM-results/AK/df.csv b/DFM-results/AK/df.csv
new file mode 100644
index 0000000..dcc407a
--- /dev/null
+++ b/DFM-results/AK/df.csv
@@ -0,0 +1,36 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
+2/1/2020,0.5249834241681198,0.639810426576236,0.0,0.0
+3/1/2020,0.5350496971873824,0.6682464455081445,0.0042229655,0.0609357998
+4/1/2020,0.6301003819548583,0.6255924171460637,0.0024131231,0.0282916213
+5/1/2020,0.6318655191323951,0.6445497630291054,0.0025728151,0.0304678999
+6/1/2020,0.5777526986231899,0.639810426576236,0.0108767976,0.0631120783
+7/1/2020,0.9256247781692474,0.6966824645116171,0.040277864,0.1828073993
+8/1/2020,0.31842053044995583,0.6540284360779722,0.0370130504,0.204570185
+9/1/2020,0.29015963927537214,0.6303317535989331,0.0532484009,0.1566920566
+10/1/2020,0.4188699423378682,0.7819905213073427,0.1582192571,0.4243743199
+11/1/2020,0.6447862893178639,0.8388625593142877,0.3026162868,0.752992383
+12/1/2020,1.0,0.5781990521879855,0.1744191205,0.5571273123
+1/1/2021,0.9935075459161131,0.40758293838184234,0.0982904087,0.2176278564
+2/1/2021,0.2171088088183265,0.5829383886408549,0.0558034724,0.1523394995
+3/1/2021,0.0,0.6492890996251028,0.072748565,0.2241566921
+4/1/2021,0.30496192420701207,0.5639810426862493,0.0778320928,0.289445049
+5/1/2021,0.5051223816513358,0.7345971564208285,0.0299511165,0.1284004353
+6/1/2021,0.5264904042441626,0.5781990521879855,0.0149666865,0.0957562568
+7/1/2021,0.5257364189156271,0.6587677725308417,0.0817711614,0.39390642
+8/1/2021,0.6094489185049698,0.8151658768352485,0.26157545,0.8019586507
+9/1/2021,0.7459529618788955,1.0,0.4060079669,1.0
+10/1/2021,0.5161371004085843,0.7251184834435256,0.3689594294,0.8335146899
+11/1/2021,0.5195901425932368,0.6777251185570113,0.1806914662,0.4494015234
+12/1/2021,0.7534522362151508,0.0,0.1362261238,0.2655059848
+1/1/2022,0.5399408704343176,0.7677725118771704,1.0,0.478781284
+2/1/2022,0.4589196901361835,0.8056872038579458,0.2854316563,0.2491838955
+3/1/2022,0.4004988448856724,0.5781990521879855,0.1077388504,0.1284004353
+4/1/2022,0.3158723696850353,0.4454976303626177,0.0940142126,0.0718171926
+5/1/2022,0.4042656813546738,0.6824644550098808,0.1257574279,0.1099020675
+6/1/2022,0.4749865559784121,0.48341232227182906,0.1572433617,0.1077257889
+7/1/2022,0.539145020682225,0.7488151659225647,0.1569505931,0.1088139282
+8/1/2022,0.5600719174336509,0.6682464455081445,0.0951143128,0.112078346
+9/1/2022,0.4910380706080559,0.6208530806216302,0.0211769298,0.0402611534
+10/1/2022,0.42459223238006044,0.5213270142526044,0.0135738176,0.0293797606
+11/1/2022,0.5249834241681198,0.639810426576236,0.0134850999,0.0054406964
+12/1/2022,0.5249834241681198,0.639810426576236,0.0121365899,0.0087051143
diff --git a/DFM-results/AK/factors.csv b/DFM-results/AK/factors.csv
new file mode 100644
index 0000000..be8f2f8
--- /dev/null
+++ b/DFM-results/AK/factors.csv
@@ -0,0 +1,36 @@
+Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
+2/1/2020,0.04527204327406025,-0.6311005422233046,0.0,0.0,0.0,0.0,AK
+3/1/2020,0.07688896175549678,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,AK
+4/1/2020,0.4499336774656316,-0.08951772903944236,0.0693139098,0.0198675497,0.0024131231,0.0282916213,AK
+5/1/2020,0.5425651431158636,-0.06144584133074608,0.1379229323,0.0264900662,0.0025728151,0.0304678999,AK
+6/1/2020,0.47257098242751205,-0.052878533145120483,0.1734022556,0.0264900662,0.0108767976,0.0631120783,AK
+7/1/2020,-0.09883897521868851,0.10034418260401007,0.4814379699,0.1059602649,0.040277864,0.1828073993,AK
+8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,AK
+9/1/2020,0.2859518054989112,-0.12373240395548166,0.1459116541,0.1125827815,0.0532484009,0.1566920566,AK
+10/1/2020,-1.0397676571986374,-0.06803016671869833,0.0773026316,0.3112582781,0.1582192571,0.4243743199,AK
+11/1/2020,-2.600625550164835,0.11755469478482498,0.155075188,0.5894039735,0.3026162868,0.752992383,AK
+12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,AK
+1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,AK
+2/1/2021,0.754472011098265,-0.013467999040589013,0.6719924812,0.0993377483,0.0558034724,0.1523394995,AK
+3/1/2021,0.36723975460936603,-0.19497187243926759,0.2319078947,0.1125827815,0.072748565,0.2241566921,AK
+4/1/2021,0.14504731601185394,0.0068054274224537276,0.0838815789,0.0066225166,0.0778320928,0.289445049,AK
+5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,AK
+6/1/2021,0.8707895105201184,-0.08592790735182523,0.0723684211,0.0529801325,0.0149666865,0.0957562568,AK
+7/1/2021,-0.5341674400168254,0.07575463723416342,0.0728383459,0.0794701987,0.0817711614,0.39390642,AK
+8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,AK
+9/1/2021,-3.6449845826393164,0.11367564223498003,0.2814849624,0.8278145695,0.4060079669,1.0,AK
+10/1/2021,-2.603020667472522,0.12861231455200028,0.274906015,0.9470198675,0.3689594294,0.8335146899,AK
+11/1/2021,-0.6446206514350425,0.0022656209467696448,0.2709116541,1.0,0.1806914662,0.4494015234,AK
+12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,AK
+1/1/2022,-1.295076038746597,0.13339600324906487,0.4642857143,0.2847682119,1.0,0.478781284,AK
+2/1/2022,-0.12576436064851126,-0.17789726818101623,0.4090695489,0.5165562914,0.2854316563,0.2491838955,AK
+3/1/2022,0.5975477657235448,-0.11530705047413342,0.3106203008,0.4304635762,0.1077388504,0.1284004353,AK
+4/1/2022,1.0230054373780837,0.009337239674233215,0.1604793233,0.1589403974,0.0940142126,0.0718171926,AK
+5/1/2022,0.6367619775099977,-0.12661974670509923,0.0817669173,0.2185430464,0.1257574279,0.1099020675,AK
+6/1/2022,0.7202838193469983,0.04735833996428815,0.0507518797,0.0,0.1572433617,0.1077257889,AK
+7/1/2022,0.45931284469289,-0.15359505427241749,0.0594454887,0.1523178808,0.1569505931,0.1088139282,AK
+8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,AK
+9/1/2022,0.8327502043218972,-0.13550379310693184,0.0601503759,0.1655629139,0.0211769298,0.0402611534,AK
+10/1/2022,1.0071822806601058,-0.04270526993394214,0.0,0.0,0.0135738176,0.0293797606,AK
+11/1/2022,1.0296511151910714,-0.10729106051629682,0.0,0.0,0.0134850999,0.0054406964,AK
+12/1/2022,0.9590231403770624,-0.13619559876359177,0.0,0.0,0.0121365899,0.0087051143,AK
diff --git a/DFM-results/AK/model.csv b/DFM-results/AK/model.csv
new file mode 100644
index 0000000..e4d2884
--- /dev/null
+++ b/DFM-results/AK/model.csv
@@ -0,0 +1,16 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,4
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2020-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Global,Pandemic
+Pandemic_10  ,X     ,X
+Pandemic_9   ,X     ,X
+Pandemic_1   ,X     ,X
+Pandemic_7   ,X     ,X
+Factor blocks:
+ block  ,order
+Global  ,1
+Pandemic,1
diff --git a/DFM-results/AK/raw.csv b/DFM-results/AK/raw.csv
new file mode 100644
index 0000000..a0f3499
--- /dev/null
+++ b/DFM-results/AK/raw.csv
@@ -0,0 +1,36 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
+2/1/2020,0.0,0.0,0.0,0.0
+3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998
+4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213
+5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999
+6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783
+7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993
+8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185
+9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566
+10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199
+11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383
+12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123
+1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564
+2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995
+3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921
+4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049
+5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353
+6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568
+7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642
+8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507
+9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0
+10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899
+11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234
+12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848
+1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284
+2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955
+3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353
+4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926
+5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675
+6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889
+7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282
+8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346
+9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534
+10/1/2022,0.0,0.0,0.0135738176,0.0293797606
+11/1/2022,0.0,0.0,0.0134850999,0.0054406964
+12/1/2022,0.0,0.0,0.0121365899,0.0087051143
diff --git a/DFM-results/AK/results.csv b/DFM-results/AK/results.csv
new file mode 100644
index 0000000..480bd66
--- /dev/null
+++ b/DFM-results/AK/results.csv
@@ -0,0 +1,25 @@
+                          Dynamic Factor Results
+Dep. Variable:  ,"Pandemic_10", and 3 more,  No. Observations:  ,35
+Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-160.323
+                ,+ 2 factors in 2 blocks  ,  AIC                ,360.647
+                ,+ AR(1) idiosyncratic    ,  BIC                ,391.754
+Date:           ,Sun, 20 Oct 2024         ,  HQIC               ,371.385
+Time:           ,18:29:48                 ,  EM Iterations      ,164
+Sample:         ,02-01-2020               ,                     ,
+                ,- 12-01-2022             ,                     ,
+Covariance Type:,Not computed             ,                     ,
+                    Observation equation:
+Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
+Pandemic_10     ,-0.20 ,0.43    ,0.32                   ,0.78
+Pandemic_9      ,-0.46 ,-0.54   ,-0.04                  ,0.65
+Pandemic_1      ,-0.58 ,0.03    ,0.40                   ,0.53
+Pandemic_7      ,-0.62 ,0.23    ,0.82                   ,0.05
+    Transition: Factor block 0
+      ,L1.Global,   error variance
+Global,0.67     ,0.86
+      Transition: Factor block 1
+        ,L1.Pandemic,   error variance
+Pandemic,0.42       ,0.19
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/DFM-results/AK/run-info.yaml b/DFM-results/AK/run-info.yaml
new file mode 100644
index 0000000..1cdab56
--- /dev/null
+++ b/DFM-results/AK/run-info.yaml
@@ -0,0 +1,20 @@
+diff_cols:
+- Pandemic_9
+factor_map:
+  Pandemic_1: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_10: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_7: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_9: !!python/tuple
+  - Global
+  - Pandemic
+global_multiplier: 1
+logdiff_cols:
+- Pandemic_10
+maxiter: 10000
+non_stationary_cols: null
diff --git a/DFM-results/CA/df.csv b/DFM-results/CA/df.csv
new file mode 100644
index 0000000..dcc407a
--- /dev/null
+++ b/DFM-results/CA/df.csv
@@ -0,0 +1,36 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
+2/1/2020,0.5249834241681198,0.639810426576236,0.0,0.0
+3/1/2020,0.5350496971873824,0.6682464455081445,0.0042229655,0.0609357998
+4/1/2020,0.6301003819548583,0.6255924171460637,0.0024131231,0.0282916213
+5/1/2020,0.6318655191323951,0.6445497630291054,0.0025728151,0.0304678999
+6/1/2020,0.5777526986231899,0.639810426576236,0.0108767976,0.0631120783
+7/1/2020,0.9256247781692474,0.6966824645116171,0.040277864,0.1828073993
+8/1/2020,0.31842053044995583,0.6540284360779722,0.0370130504,0.204570185
+9/1/2020,0.29015963927537214,0.6303317535989331,0.0532484009,0.1566920566
+10/1/2020,0.4188699423378682,0.7819905213073427,0.1582192571,0.4243743199
+11/1/2020,0.6447862893178639,0.8388625593142877,0.3026162868,0.752992383
+12/1/2020,1.0,0.5781990521879855,0.1744191205,0.5571273123
+1/1/2021,0.9935075459161131,0.40758293838184234,0.0982904087,0.2176278564
+2/1/2021,0.2171088088183265,0.5829383886408549,0.0558034724,0.1523394995
+3/1/2021,0.0,0.6492890996251028,0.072748565,0.2241566921
+4/1/2021,0.30496192420701207,0.5639810426862493,0.0778320928,0.289445049
+5/1/2021,0.5051223816513358,0.7345971564208285,0.0299511165,0.1284004353
+6/1/2021,0.5264904042441626,0.5781990521879855,0.0149666865,0.0957562568
+7/1/2021,0.5257364189156271,0.6587677725308417,0.0817711614,0.39390642
+8/1/2021,0.6094489185049698,0.8151658768352485,0.26157545,0.8019586507
+9/1/2021,0.7459529618788955,1.0,0.4060079669,1.0
+10/1/2021,0.5161371004085843,0.7251184834435256,0.3689594294,0.8335146899
+11/1/2021,0.5195901425932368,0.6777251185570113,0.1806914662,0.4494015234
+12/1/2021,0.7534522362151508,0.0,0.1362261238,0.2655059848
+1/1/2022,0.5399408704343176,0.7677725118771704,1.0,0.478781284
+2/1/2022,0.4589196901361835,0.8056872038579458,0.2854316563,0.2491838955
+3/1/2022,0.4004988448856724,0.5781990521879855,0.1077388504,0.1284004353
+4/1/2022,0.3158723696850353,0.4454976303626177,0.0940142126,0.0718171926
+5/1/2022,0.4042656813546738,0.6824644550098808,0.1257574279,0.1099020675
+6/1/2022,0.4749865559784121,0.48341232227182906,0.1572433617,0.1077257889
+7/1/2022,0.539145020682225,0.7488151659225647,0.1569505931,0.1088139282
+8/1/2022,0.5600719174336509,0.6682464455081445,0.0951143128,0.112078346
+9/1/2022,0.4910380706080559,0.6208530806216302,0.0211769298,0.0402611534
+10/1/2022,0.42459223238006044,0.5213270142526044,0.0135738176,0.0293797606
+11/1/2022,0.5249834241681198,0.639810426576236,0.0134850999,0.0054406964
+12/1/2022,0.5249834241681198,0.639810426576236,0.0121365899,0.0087051143
diff --git a/DFM-results/CA/factors.csv b/DFM-results/CA/factors.csv
new file mode 100644
index 0000000..858ad44
--- /dev/null
+++ b/DFM-results/CA/factors.csv
@@ -0,0 +1,36 @@
+Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
+2/1/2020,0.04527204327406025,-0.6311005422233046,0.0,0.0,0.0,0.0,CA
+3/1/2020,0.07688896175549678,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,CA
+4/1/2020,0.4499336774656316,-0.08951772903944236,0.0693139098,0.0198675497,0.0024131231,0.0282916213,CA
+5/1/2020,0.5425651431158636,-0.06144584133074608,0.1379229323,0.0264900662,0.0025728151,0.0304678999,CA
+6/1/2020,0.47257098242751205,-0.052878533145120483,0.1734022556,0.0264900662,0.0108767976,0.0631120783,CA
+7/1/2020,-0.09883897521868851,0.10034418260401007,0.4814379699,0.1059602649,0.040277864,0.1828073993,CA
+8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,CA
+9/1/2020,0.2859518054989112,-0.12373240395548166,0.1459116541,0.1125827815,0.0532484009,0.1566920566,CA
+10/1/2020,-1.0397676571986374,-0.06803016671869833,0.0773026316,0.3112582781,0.1582192571,0.4243743199,CA
+11/1/2020,-2.600625550164835,0.11755469478482498,0.155075188,0.5894039735,0.3026162868,0.752992383,CA
+12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,CA
+1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,CA
+2/1/2021,0.754472011098265,-0.013467999040589013,0.6719924812,0.0993377483,0.0558034724,0.1523394995,CA
+3/1/2021,0.36723975460936603,-0.19497187243926759,0.2319078947,0.1125827815,0.072748565,0.2241566921,CA
+4/1/2021,0.14504731601185394,0.0068054274224537276,0.0838815789,0.0066225166,0.0778320928,0.289445049,CA
+5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,CA
+6/1/2021,0.8707895105201184,-0.08592790735182523,0.0723684211,0.0529801325,0.0149666865,0.0957562568,CA
+7/1/2021,-0.5341674400168254,0.07575463723416342,0.0728383459,0.0794701987,0.0817711614,0.39390642,CA
+8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,CA
+9/1/2021,-3.6449845826393164,0.11367564223498003,0.2814849624,0.8278145695,0.4060079669,1.0,CA
+10/1/2021,-2.603020667472522,0.12861231455200028,0.274906015,0.9470198675,0.3689594294,0.8335146899,CA
+11/1/2021,-0.6446206514350425,0.0022656209467696448,0.2709116541,1.0,0.1806914662,0.4494015234,CA
+12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,CA
+1/1/2022,-1.295076038746597,0.13339600324906487,0.4642857143,0.2847682119,1.0,0.478781284,CA
+2/1/2022,-0.12576436064851126,-0.17789726818101623,0.4090695489,0.5165562914,0.2854316563,0.2491838955,CA
+3/1/2022,0.5975477657235448,-0.11530705047413342,0.3106203008,0.4304635762,0.1077388504,0.1284004353,CA
+4/1/2022,1.0230054373780837,0.009337239674233215,0.1604793233,0.1589403974,0.0940142126,0.0718171926,CA
+5/1/2022,0.6367619775099977,-0.12661974670509923,0.0817669173,0.2185430464,0.1257574279,0.1099020675,CA
+6/1/2022,0.7202838193469983,0.04735833996428815,0.0507518797,0.0,0.1572433617,0.1077257889,CA
+7/1/2022,0.45931284469289,-0.15359505427241749,0.0594454887,0.1523178808,0.1569505931,0.1088139282,CA
+8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,CA
+9/1/2022,0.8327502043218972,-0.13550379310693184,0.0601503759,0.1655629139,0.0211769298,0.0402611534,CA
+10/1/2022,1.0071822806601058,-0.04270526993394214,0.0,0.0,0.0135738176,0.0293797606,CA
+11/1/2022,1.0296511151910714,-0.10729106051629682,0.0,0.0,0.0134850999,0.0054406964,CA
+12/1/2022,0.9590231403770624,-0.13619559876359177,0.0,0.0,0.0121365899,0.0087051143,CA
diff --git a/DFM-results/CA/model.csv b/DFM-results/CA/model.csv
new file mode 100644
index 0000000..e4d2884
--- /dev/null
+++ b/DFM-results/CA/model.csv
@@ -0,0 +1,16 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,4
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2020-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Global,Pandemic
+Pandemic_10  ,X     ,X
+Pandemic_9   ,X     ,X
+Pandemic_1   ,X     ,X
+Pandemic_7   ,X     ,X
+Factor blocks:
+ block  ,order
+Global  ,1
+Pandemic,1
diff --git a/DFM-results/CA/raw.csv b/DFM-results/CA/raw.csv
new file mode 100644
index 0000000..a0f3499
--- /dev/null
+++ b/DFM-results/CA/raw.csv
@@ -0,0 +1,36 @@
+Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
+2/1/2020,0.0,0.0,0.0,0.0
+3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998
+4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213
+5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999
+6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783
+7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993
+8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185
+9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566
+10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199
+11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383
+12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123
+1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564
+2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995
+3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921
+4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049
+5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353
+6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568
+7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642
+8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507
+9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0
+10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899
+11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234
+12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848
+1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284
+2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955
+3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353
+4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926
+5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675
+6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889
+7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282
+8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346
+9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534
+10/1/2022,0.0,0.0,0.0135738176,0.0293797606
+11/1/2022,0.0,0.0,0.0134850999,0.0054406964
+12/1/2022,0.0,0.0,0.0121365899,0.0087051143
diff --git a/DFM-results/CA/results.csv b/DFM-results/CA/results.csv
new file mode 100644
index 0000000..480bd66
--- /dev/null
+++ b/DFM-results/CA/results.csv
@@ -0,0 +1,25 @@
+                          Dynamic Factor Results
+Dep. Variable:  ,"Pandemic_10", and 3 more,  No. Observations:  ,35
+Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-160.323
+                ,+ 2 factors in 2 blocks  ,  AIC                ,360.647
+                ,+ AR(1) idiosyncratic    ,  BIC                ,391.754
+Date:           ,Sun, 20 Oct 2024         ,  HQIC               ,371.385
+Time:           ,18:29:48                 ,  EM Iterations      ,164
+Sample:         ,02-01-2020               ,                     ,
+                ,- 12-01-2022             ,                     ,
+Covariance Type:,Not computed             ,                     ,
+                    Observation equation:
+Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
+Pandemic_10     ,-0.20 ,0.43    ,0.32                   ,0.78
+Pandemic_9      ,-0.46 ,-0.54   ,-0.04                  ,0.65
+Pandemic_1      ,-0.58 ,0.03    ,0.40                   ,0.53
+Pandemic_7      ,-0.62 ,0.23    ,0.82                   ,0.05
+    Transition: Factor block 0
+      ,L1.Global,   error variance
+Global,0.67     ,0.86
+      Transition: Factor block 1
+        ,L1.Pandemic,   error variance
+Pandemic,0.42       ,0.19
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/DFM-results/CA/run-info.yaml b/DFM-results/CA/run-info.yaml
new file mode 100644
index 0000000..1cdab56
--- /dev/null
+++ b/DFM-results/CA/run-info.yaml
@@ -0,0 +1,20 @@
+diff_cols:
+- Pandemic_9
+factor_map:
+  Pandemic_1: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_10: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_7: !!python/tuple
+  - Global
+  - Pandemic
+  Pandemic_9: !!python/tuple
+  - Global
+  - Pandemic
+global_multiplier: 1
+logdiff_cols:
+- Pandemic_10
+maxiter: 10000
+non_stationary_cols: null
diff --git a/DFM-results/factors.csv b/DFM-results/factors.csv
new file mode 100644
index 0000000..220b550
--- /dev/null
+++ b/DFM-results/factors.csv
@@ -0,0 +1,71 @@
+Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
+2/1/2020,0.0452720432740602,-0.6311005422233046,0.0,0.0,0.0,0.0,CA
+3/1/2020,0.0768889617554967,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,CA
+4/1/2020,0.4499336774656316,-0.0895177290394423,0.0693139098,0.0198675497,0.0024131231,0.0282916213,CA
+5/1/2020,0.5425651431158636,-0.061445841330746,0.1379229323,0.0264900662,0.0025728151,0.0304678999,CA
+6/1/2020,0.472570982427512,-0.0528785331451204,0.1734022556,0.0264900662,0.0108767976,0.0631120783,CA
+7/1/2020,-0.0988389752186885,0.10034418260401,0.4814379699,0.1059602649,0.040277864,0.1828073993,CA
+8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,CA
+9/1/2020,0.2859518054989112,-0.1237324039554816,0.1459116541,0.1125827815,0.0532484009,0.1566920566,CA
+10/1/2020,-1.0397676571986374,-0.0680301667186983,0.0773026316,0.3112582781,0.1582192571,0.4243743199,CA
+11/1/2020,-2.600625550164835,0.1175546947848249,0.155075188,0.5894039735,0.3026162868,0.752992383,CA
+12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,CA
+1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,CA
+2/1/2021,0.754472011098265,-0.013467999040589,0.6719924812,0.0993377483,0.0558034724,0.1523394995,CA
+3/1/2021,0.367239754609366,-0.1949718724392675,0.2319078947,0.1125827815,0.072748565,0.2241566921,CA
+4/1/2021,0.1450473160118539,0.0068054274224537,0.0838815789,0.0066225166,0.0778320928,0.289445049,CA
+5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,CA
+6/1/2021,0.8707895105201184,-0.0859279073518252,0.0723684211,0.0529801325,0.0149666865,0.0957562568,CA
+7/1/2021,-0.5341674400168254,0.0757546372341634,0.0728383459,0.0794701987,0.0817711614,0.39390642,CA
+8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,CA
+9/1/2021,-3.644984582639317,0.11367564223498,0.2814849624,0.8278145695,0.4060079669,1.0,CA
+10/1/2021,-2.603020667472522,0.1286123145520002,0.274906015,0.9470198675,0.3689594294,0.8335146899,CA
+11/1/2021,-0.6446206514350425,0.0022656209467696,0.2709116541,1.0,0.1806914662,0.4494015234,CA
+12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,CA
+1/1/2022,-1.295076038746597,0.1333960032490648,0.4642857143,0.2847682119,1.0,0.478781284,CA
+2/1/2022,-0.1257643606485112,-0.1778972681810162,0.4090695489,0.5165562914,0.2854316563,0.2491838955,CA
+3/1/2022,0.5975477657235448,-0.1153070504741334,0.3106203008,0.4304635762,0.1077388504,0.1284004353,CA
+4/1/2022,1.0230054373780837,0.0093372396742332,0.1604793233,0.1589403974,0.0940142126,0.0718171926,CA
+5/1/2022,0.6367619775099977,-0.1266197467050992,0.0817669173,0.2185430464,0.1257574279,0.1099020675,CA
+6/1/2022,0.7202838193469983,0.0473583399642881,0.0507518797,0.0,0.1572433617,0.1077257889,CA
+7/1/2022,0.45931284469289,-0.1535950542724174,0.0594454887,0.1523178808,0.1569505931,0.1088139282,CA
+8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,CA
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diff --git a/reports/figures/results/CT/df.csv b/reports/figures/results/CT/df.csv
new file mode 100644
index 0000000..514ab1b
--- /dev/null
+++ b/reports/figures/results/CT/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
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diff --git a/reports/figures/results/CT/factors.csv b/reports/figures/results/CT/factors.csv
new file mode 100644
index 0000000..251ac08
--- /dev/null
+++ b/reports/figures/results/CT/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+1/1/2017,0.8500476352643505,1.6197328582972768,252160.2725,16109.15838,32031.7955,115160.8354,48140.96179,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2017,0.8500476352643493,-0.009763537606827466,251771.526,16111.28477,32085.01468,115280.5406,48196.31524,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2017,0.8500476352643473,-1.5676771008962294,251908.1242,16147.00224,32205.08094,115640.4959,48352.10687,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2017,0.8500476352643467,0.4967974638746142,253027.8471,16138.37822,32236.62808,115682.718,48375.03783,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2017,0.8500476352643529,-1.357368576362492,254772.5309,16169.7678,32348.00972,116011.5658,48517.81694,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2017,0.8500476352643473,-0.4230593283504791,256200.6332,16181.11799,32419.26948,116196.5695,48600.43472,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2017,0.8500476352643511,-0.9423162167524419,256906.8045,16203.76757,32513.10916,116462.5889,48716.93184,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2017,0.8500476352643501,0.6478252588305582,257068.7039,16192.14588,32538.05623,116482.0173,48730.26496,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2017,0.8500476352643502,1.6846151302343408,256874.7594,16158.24342,32517.93579,116340.5358,48676.24964,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2017,0.8500476352643536,-0.013156524110262247,257054.172,16161.03131,32571.40312,116462.6935,48732.51256,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2017,0.8500476352643509,0.13087495522384496,257184.8974,16160.78477,32618.6052,116562.6648,48779.47578,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2017,0.8500476352643535,-0.020141363016117353,257368.1062,16163.8624,32672.36867,116686.2965,48836.32455,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2018,0.8500476352643482,1.9977289101628593,257562.7627,16160.87784,32600.88144,116691.5125,48761.84466,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2018,0.8500476352643449,1.1626953506852762,258041.0376,16175.7801,32565.86914,116825.722,48741.72667,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2018,0.8500476352643552,0.38950513939703324,258783.2283,16207.28449,32564.53139,117079.7341,48771.88547,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2018,0.8500476352643529,0.8010047642987836,258184.7366,16229.82801,32545.40628,117268.9249,48775.29602,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2018,0.8500476352643483,0.7596888887452765,257602.864,16253.18489,32528.15955,117463.8917,48781.39837,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2018,0.8500476352643473,0.19962066199856565,257215.3956,16288.62505,32535.28994,117746.1063,48823.96115,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2018,0.8500476352643496,0.035737021935908886,258404.0326,16327.59776,32549.60784,118053.8031,48877.24404,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2018,0.8500476352643509,-0.06543934171476729,259626.3663,16368.76125,32568.4012,118377.2957,48937.19317,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2018,0.8500476352643493,0.9791323275033477,260484.5592,16387.0726,32541.91267,118535.4476,48929.00826,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2018,0.8500476352643459,0.6345993940779326,259468.5285,16412.83525,32530.46467,118747.3988,48943.31522,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2018,0.8500476352643471,-0.33410346522077816,258790.3899,16459.78061,32561.13359,119112.5534,49020.92185,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2018,0.850047635264346,-0.48932621776745194,258167.2799,16510.17056,32598.65493,119502.6195,49108.8255,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2019,0.8500476352643507,0.38039210170315774,258350.9058,16518.75319,32621.08059,119704.846,49139.83379,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2019,0.8500476352643491,1.6387639596052743,258101.1062,16499.62741,32588.78017,119706.0818,49088.40758,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2019,0.8500476352643479,2.5144855638771104,257550.5057,16461.28578,32518.50278,119567.309,48979.78857,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2019,0.8500476352643522,2.7821959459518375,257450.9625,16417.16767,32436.78266,119385.7715,48853.95032,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2019,0.8500476352643557,0.9958514261946232,257963.4552,16412.21994,32432.43428,119488.5577,48844.65421,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2019,0.8500476352643552,1.016118346686337,258468.1857,16406.83131,32427.20699,119587.9383,48834.0383,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2019,0.8500476352643522,1.5609353087872895,258742.3474,16389.53228,32398.42771,119600.2053,48787.95999,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2019,0.850047635264352,0.7361607694337968,259300.2942,16390.27107,32405.29546,119743.8528,48795.56653,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2019,0.8500476352643515,0.9880404543814474,259770.6135,16385.50637,32401.27669,119847.1513,48786.78305,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2019,0.8500476352643521,1.9458783889611002,260251.6384,16359.83144,32355.89506,119797.1437,48715.72649,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2019,0.850047635264355,0.7901326394407362,261132.022,16359.39343,32360.41333,119931.6098,48719.80676,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2019,0.8500476352643491,2.288084042508209,261488.7661,16326.30761,32300.33593,119826.3437,48626.64355,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2020,0.8500399842943805,0.9299457669704125,258428.0959,16346.24225,32275.59249,119348.6504,48621.83474,0.0,0.0,0.0,0.0,0.0,0.0,34.0,34.0,30.0,30.0,0.0,0.0,CT
+2/1/2020,0.8500427496703075,0.3764667589544253,255567.4199,16378.18493,32274.75166,118960.5054,48652.93659,0.0,0.0,0.0,0.0,0.0,0.0,74.0,54.0,34.0,30.0,0.0,0.0,CT
+3/1/2020,0.17359601421215842,-2.134563315776668,253561.5029,16465.13842,32382.24572,118971.2517,48847.38414,3128.0,3128.0,69.0,69.0,3128.0,69.0,7618.0,7202.0,2990.0,2868.0,424.0,404.0,CT
+4/1/2020,-20.56674556839444,-4.451081794130752,248152.2235,16603.68116,32590.7212,119350.0972,49194.40236,24572.0,23012.0,2188.0,1429.0,24572.0,2188.0,18643.0,16679.0,7834.0,7453.0,4869.0,3711.0,CT
+5/1/2020,-15.663649017178983,0.32243888281874433,241139.0115,16637.04204,32592.46841,118970.244,49229.51045,14501.0,14049.0,1687.0,1389.0,14501.0,1687.0,7294.0,6469.0,2944.0,2844.0,1725.0,1333.0,CT
+6/1/2020,-2.851084751290365,2.201862236824736,233554.8914,16628.6367,32512.68669,118294.5659,49141.32339,4313.0,4345.0,378.0,369.0,4313.0,378.0,59839.0,58597.0,811.0,791.0,92.0,64.0,CT
+7/1/2020,-0.2268626535743497,1.7418030030354237,239221.1659,16630.31637,32453.03347,117694.6185,49083.34984,3296.0,3320.0,110.0,98.0,3296.0,110.0,8034.0,7783.0,315.0,301.0,0.0,0.0,CT
+8/1/2020,0.5268895293501168,1.824934673298742,244825.7054,16630.04551,32389.94953,117084.5189,49019.99503,3069.0,2899.0,33.0,29.0,3069.0,33.0,7025.0,6635.0,391.0,379.0,0.0,0.0,CT
+9/1/2020,0.42913693844649553,0.9003222172494983,250703.5919,16650.1886,32366.92858,116621.0925,49017.11718,4671.0,4376.0,43.0,30.0,4671.0,43.0,9173.0,8476.0,323.0,311.0,0.0,0.0,CT
+10/1/2020,-0.2073137380163541,-0.2203338135634576,251793.0161,16695.19382,32392.37007,116333.0885,49087.56389,13657.0,12390.0,108.0,98.0,13657.0,108.0,32892.0,29315.0,629.0,501.0,0.0,0.0,CT
+11/1/2020,-3.105214329907888,-0.3321645784446239,252920.2562,16742.71936,32422.73088,116062.9317,49165.45024,46088.0,41972.0,404.0,317.0,46088.0,404.0,82662.0,77338.0,3192.0,2889.0,264.0,178.0,CT
+12/1/2020,-8.694791364648562,2.7921874374060014,252991.5292,16720.46366,32318.23451,115311.7254,49038.69817,68413.0,65188.0,975.0,829.0,68413.0,975.0,122539.0,118680.0,4044.0,3733.0,763.0,640.0,CT
+1/1/2021,-9.438184323492306,-5.202438476040758,252226.92,16925.49793,32511.19174,115757.0933,49436.68227,64315.0,60135.0,1051.0,887.0,64315.0,1051.0,75508.0,73709.0,2660.0,2440.0,389.0,305.0,CT
+2/1/2021,-4.78889061066077,-5.472342885949734,251590.608,17137.30107,32718.59314,116255.6251,49855.87946,29923.0,26238.0,576.0,513.0,29923.0,576.0,2310.0,2046.0,1569.0,1437.0,232.0,190.0,CT
+3/1/2021,-1.7486633210712328,-3.4412281182414834,250311.444,17302.96043,32839.71505,116449.7897,50142.65348,30942.0,26183.0,264.0,223.0,30678.0,267.0,17839.0,15043.0,1186.0,1031.0,22.0,16.0,CT
+4/1/2021,-1.2012165779167736,-3.7929530707873274,251760.4183,17476.61315,32978.16839,116708.0423,50454.75236,28345.0,24035.0,211.0,182.0,28609.0,208.0,802.0,650.0,32.0,18.0,122.0,90.0,CT
+5/1/2021,-0.5303547268277669,-3.8785696847397615,253249.2299,17652.2759,33122.37086,116989.0364,50774.61047,8273.0,6920.0,141.0,118.0,8108.0,141.0,207251.0,176713.0,165.0,155.0,0.0,0.0,CT
+6/1/2021,0.45849919778790127,-3.424536281837338,254595.0909,17817.21492,33248.41068,117208.2922,51065.58229,1846.0,1462.0,40.0,29.0,2011.0,40.0,11981.0,10375.0,17.0,13.0,0.0,0.0,CT
+7/1/2021,0.7031405641166426,-4.07038213854374,254926.8302,17997.54568,33405.00147,117537.5117,51402.49685,5397.0,4200.0,15.0,15.0,4983.0,15.0,23255.0,19258.0,37.0,33.0,0.0,0.0,CT
+8/1/2021,0.21367518132443186,-4.444269045573561,255409.0092,18187.16865,33580.34763,117934.6009,51767.45904,18171.0,15248.0,65.0,61.0,18737.0,65.0,33064.0,27220.0,74.0,66.0,0.0,0.0,CT
+9/1/2021,-1.8021154112204893,-4.968762285844072,256093.3326,18390.09314,33781.48329,118423.8023,52171.51223,17273.0,14399.0,271.0,170.0,17273.0,271.0,39510.0,33358.0,55.0,51.0,0.0,0.0,CT
+10/1/2021,-0.4717251622601855,-2.925788999700517,256608.4435,18543.17225,33892.56803,118599.2248,52435.66935,12238.0,11435.0,135.0,130.0,12238.0,135.0,258.0,236.0,22.0,16.0,53.0,48.0,CT
+11/1/2021,-0.5301488844380238,-2.546770257964052,257008.9397,18686.60462,33988.00761,118722.4126,52674.53469,19109.0,17953.0,141.0,114.0,19109.0,141.0,19826.0,18428.0,15.0,13.0,0.0,0.0,CT
+12/1/2021,-1.64631154799111,-2.9948573296465186,257577.8561,18840.97239,34105.23304,118924.1087,52946.12129,88496.0,74788.0,255.0,200.0,88496.0,255.0,314.0,282.0,11.0,11.0,162.0,159.0,CT
+1/1/2022,-7.4705062583101105,0.6223335730290174,258018.1749,18817.00832,34145.74771,119037.5537,52962.6793,189212.0,169848.0,850.0,659.0,189212.0,850.0,1537.0,1402.0,103.0,97.0,784.0,734.0,CT
+2/1/2022,-3.652900005022513,1.130011273405239,258279.6907,18780.62818,34162.79741,119069.5052,52943.35624,23989.0,20412.0,460.0,417.0,23989.0,460.0,55808.0,48167.0,32.0,32.0,240.0,224.0,CT
+3/1/2022,-2.159500253315799,3.813552375000249,257613.2739,18677.6197,34057.37671,118675.0233,52734.9346,10203.0,8854.0,306.0,257.0,12644.0,309.0,67950.0,59635.0,15.0,15.0,34.0,32.0,CT
+4/1/2022,0.1396797572794748,-1.7676193094662391,257771.3065,18714.21951,34205.58339,119164.6307,52919.74806,21506.0,19029.0,74.0,53.0,22248.0,71.0,122.0,104.0,2.0,2.0,86.0,76.0,CT
+5/1/2022,-0.04113818563306165,1.2927559791750607,256884.7642,18674.78196,34214.15917,119168.009,52888.89343,42291.0,37916.0,91.0,72.0,50913.0,91.0,300578.0,268132.0,109.0,109.0,104.0,96.0,CT
+6/1/2022,-0.167871980374231,4.17658286254289,255024.2891,18564.14761,34091.0195,118713.04,52655.12663,19774.0,16496.0,104.0,82.0,19774.0,104.0,10303.0,8936.0,14.0,12.0,44.0,42.0,CT
+7/1/2022,0.29202413165363317,-3.8943533608988457,256853.8133,18654.13395,34335.58622,119538.7449,52989.68641,22925.0,19927.0,57.0,40.0,25614.0,57.0,183.0,154.0,38.0,34.0,48.0,48.0,CT
+8/1/2022,-0.7848331350226601,-1.165379326843623,257754.2674,18676.72098,34455.95715,119932.1091,53132.65119,20494.0,18739.0,167.0,143.0,20494.0,167.0,111216.0,98765.0,606.0,602.0,0.0,0.0,CT
+9/1/2022,-0.08952566221780256,-0.5753084195748432,258452.0032,18684.87926,34549.22918,120231.3055,53234.08831,21817.0,16021.0,96.0,47.0,21817.0,96.0,12262.0,12238.0,369.0,368.0,0.0,0.0,CT
+10/1/2022,0.7485676036870412,-0.30419714703461675,259645.1966,18686.53191,34629.91048,120486.8684,53316.42902,4287.0,3508.0,20.0,11.0,0.0,0.0,6691.0,6677.0,155.0,155.0,0.0,0.0,CT
+11/1/2022,0.849693876584184,-2.382649411602179,261557.0822,18740.30682,34806.8177,121077.3464,53547.11783,0.0,0.0,0.0,0.0,0.0,,328.0,322.0,11.0,11.0,0.0,0.0,CT
+12/1/2022,0.8500211038515721,-2.698768168265974,263583.4756,18802.41008,34999.07859,121721.2701,53801.48867,0.0,0.0,0.0,0.0,0.0,,114.0,104.0,44.0,44.0,59.0,55.0,CT
diff --git a/reports/figures/results/CT/model.csv b/reports/figures/results/CT/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/CT/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/CT/raw.csv b/reports/figures/results/CT/raw.csv
new file mode 100644
index 0000000..1b7eb2a
--- /dev/null
+++ b/reports/figures/results/CT/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,238702.9317,15278.43354,31023.35627,105961.8096,46301.78981,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,239406.8281,15276.55788,31005.86554,106022.3342,46282.42342,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,239745.559,15283.71351,31006.74904,106145.3014,46290.46255,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,240668.2439,15328.09879,31083.16458,106526.8143,46411.26337,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,241442.7706,15363.02455,31140.37551,106842.7044,46503.40006,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,241584.0853,15384.70858,31170.74393,107066.5146,46555.45251,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,241003.081,15360.34641,31107.8691,106969.6061,46468.21551,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+3/1/2022,257613.2739,18677.6197,34057.37671,118675.0233,52734.9346,10203.0,8854.0,306.0,257.0,12644.0,309.0,67950.0,59635.0,15.0,15.0,34.0,32.0
+4/1/2022,257771.3065,18714.21951,34205.58339,119164.6307,52919.74806,21506.0,19029.0,74.0,53.0,22248.0,71.0,122.0,104.0,2.0,2.0,86.0,76.0
+5/1/2022,256884.7642,18674.78196,34214.15917,119168.009,52888.89343,42291.0,37916.0,91.0,72.0,50913.0,91.0,300578.0,268132.0,109.0,109.0,104.0,96.0
+6/1/2022,255024.2891,18564.14761,34091.0195,118713.04,52655.12663,19774.0,16496.0,104.0,82.0,19774.0,104.0,10303.0,8936.0,14.0,12.0,44.0,42.0
+7/1/2022,256853.8133,18654.13395,34335.58622,119538.7449,52989.68641,22925.0,19927.0,57.0,40.0,25614.0,57.0,183.0,154.0,38.0,34.0,48.0,48.0
+8/1/2022,257754.2674,18676.72098,34455.95715,119932.1091,53132.65119,20494.0,18739.0,167.0,143.0,20494.0,167.0,111216.0,98765.0,606.0,602.0,0.0,0.0
+9/1/2022,258452.0032,18684.87926,34549.22918,120231.3055,53234.08831,21817.0,16021.0,96.0,47.0,21817.0,96.0,12262.0,12238.0,369.0,368.0,0.0,0.0
+10/1/2022,259645.1966,18686.53191,34629.91048,120486.8684,53316.42902,4287.0,3508.0,20.0,11.0,0.0,0.0,6691.0,6677.0,155.0,155.0,0.0,0.0
+11/1/2022,261557.0822,18740.30682,34806.8177,121077.3464,53547.11783,0.0,0.0,0.0,0.0,0.0,,328.0,322.0,11.0,11.0,0.0,0.0
+12/1/2022,263583.4756,18802.41008,34999.07859,121721.2701,53801.48867,0.0,0.0,0.0,0.0,0.0,,114.0,104.0,44.0,44.0,59.0,55.0
diff --git a/reports/figures/results/CT/results.csv b/reports/figures/results/CT/results.csv
new file mode 100644
index 0000000..5aa2d2d
--- /dev/null
+++ b/reports/figures/results/CT/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-1003.279
+                ,+ 2 factors in 2 blocks,  AIC                ,2116.558
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2274.694
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2180.816
+Time:           ,18:48:33               ,  EM Iterations      ,261
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.10      ,0.58                   ,0.66
+Cons3           ,.       ,-0.48      ,0.87                   ,0.04
+Cons4           ,.       ,-0.52      ,0.87                   ,0.02
+Cons5           ,.       ,-0.44      ,0.90                   ,0.10
+Cons2           ,.       ,-0.53      ,0.91                   ,0.00
+Cases5          ,-0.24   ,.          ,0.50                   ,0.56
+Cases2          ,-0.24   ,.          ,0.48                   ,0.57
+Deaths5         ,-0.35   ,.          ,-0.05                  ,0.00
+Deaths2         ,-0.35   ,.          ,0.04                   ,0.02
+Cases3          ,-0.24   ,.          ,0.50                   ,0.57
+Deaths3         ,-0.35   ,.          ,-0.05                  ,0.00
+Cases4          ,-0.13   ,.          ,0.05                   ,0.95
+Cases1          ,-0.14   ,.          ,0.06                   ,0.94
+Hosp2           ,-0.32   ,.          ,0.38                   ,0.23
+Hosp1           ,-0.32   ,.          ,0.38                   ,0.23
+Deaths4         ,-0.31   ,.          ,0.31                   ,0.22
+Deaths1         ,-0.32   ,.          ,0.33                   ,0.21
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.63       ,4.80
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.56          ,2.41
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/CT/run-info.yaml b/reports/figures/results/CT/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/CT/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/IL/df.csv b/reports/figures/results/IL/df.csv
new file mode 100644
index 0000000..7fa0e57
--- /dev/null
+++ b/reports/figures/results/IL/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.6925804659570864,0.25045372985259,0.19474955490044024,0.48893226629655495,0.22091550523534448,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.6974646085891172,0.26638171365966623,0.22136992367389405,0.5073703001100136,0.2424843322376093,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.6304377837477828,0.295627340732172,0.27008473635114505,0.5411958882116524,0.2819925619212286,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.6742530759663572,0.416165257365252,0.4702631796844854,0.6805039994313838,0.4444784615572727,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.6628635863174703,0.38514638026340475,0.41898991051059165,0.644697095000688,0.4028039942352826,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.603270551404276,0.34214536584865823,0.3478358456389004,0.5950453651152918,0.34498790642372684,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.549202747100101,0.1935076287255917,0.10141694434264559,0.42333651195260347,0.14486964368364635,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.554976306326793,0.20915454936690223,0.12756465171613954,0.441448544109005,0.1660560293980684,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.5313544293731298,0.21234156271733803,0.1330388589497189,0.44516369485606944,0.17045725270239673,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.5971111281908358,0.3926674097460692,0.43240626486058037,0.65355194769061,0.4134786998137797,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.587767890589852,0.3668208267713467,0.3897082910408492,0.623720110312521,0.3787679835758969,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6463144722311919,0.29186797306938583,0.19163639038232388,0.5083581526153685,0.23743367306406285,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.6147156867702126,0.20580980003925195,0.04933581307133075,0.40909603975418557,0.12180249816350386,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.7041361712392881,0.45198070043481353,0.4582395256394448,0.6937034852751974,0.4537099598612626,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.5932494001000127,0.4251717776614233,0.41423462420549495,0.6628978502480312,0.4178885841722648,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.5672863133960545,0.35359659009162914,0.29595441149189644,0.5803663400182886,0.3217615017649111,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.5401245480056216,0.27873262252678227,0.1722148647334703,0.49403362915207283,0.22120215338938698,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.6132707521507491,0.32361773686421025,0.2471503496326097,0.5460626153913043,0.2819530570556622,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.6078790683877292,0.30868700854067543,0.22284151978764705,0.5289767868550086,0.26212507137793406,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.6284695782745872,0.36508668760545265,0.3168754366022331,0.594307824464503,0.33838325891868326,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.6589305151365412,0.30034472117487854,0.20991842638811764,0.5196658266624522,0.2514517067945411,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.6608251490087138,0.3064744814140878,0.22054317693083797,0.5269106782228551,0.2599884471575635,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.6526223828412285,0.2848726737714693,0.18515533146945373,0.5021122853316808,0.23116666567320215,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.56219066278968,0.26329012877078317,0.23462663896461985,0.5884136199846022,0.24855656107399754,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.5858974970612385,0.3281583871923033,0.3423791137101423,0.6629462886737052,0.3360120760562638,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.5603372592507712,0.25777356493787584,0.22573012556613709,0.5812056524792407,0.24126988409091865,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.6964714754454824,0.26065520968847083,0.23063811734568299,0.5841234874326837,0.24522342941953468,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2014,0.6994200599740933,0.27123067037954,0.24831030744044522,0.5959344680899574,0.2595407374100948,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2014,0.7092002931982377,0.30052283211012165,0.29703498884314705,0.629374821290302,0.2990705069749371,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2014,0.6672560530728698,0.28162513778971343,0.2658063846497244,0.6071381029938913,0.27368424677404196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2014,0.6961787339304366,0.3622259643949899,0.3996567516907531,0.6998691804189902,0.3823302720898655,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2014,0.6888424721810098,0.3432702992860434,0.368330550946796,0.6775720133513696,0.3568651011572977,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2014,0.6482886591870093,0.3680576620273346,0.4095784823833942,0.7058205186513753,0.3903248969605874,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2014,0.6574594066594815,0.39334588999151887,0.45165672579219907,0.7346509255542085,0.42445913934550006,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2014,0.6712149229225628,0.4312200384068656,0.5146157961362152,0.7780267515146859,0.47554720447818244,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2015,0.7165948883022902,0.6624118736368632,0.6581310211553333,0.9392862481998896,0.6565122651147822,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2015,0.6031888079965506,0.3506200206563727,0.14189171470171486,0.5792527941153428,0.23724070373713044,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2015,0.5982495022039598,0.3366083226309367,0.11969688373351842,0.5632840584452504,0.21909786332971606,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2015,0.6417876302486657,0.39299849816162175,0.2142993693299925,0.6286581837348373,0.295786416316286,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2015,0.6123406840895912,0.3120334970855976,0.08100618162611015,0.5353246434801673,0.18744047068809278,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2015,0.6202998358646312,0.33376158330420475,0.11808538858368511,0.5606446044038952,0.21742491534767822,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2015,0.6448421890984349,0.3884402862006027,0.2098261421441138,0.6240348744486048,0.29179104583957854,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2015,0.6593094346567715,0.4281200908458703,0.2766747669433405,0.6700928006876585,0.34594682941564114,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2015,0.6860181062108092,0.5014069962427695,0.39927426507835273,0.7549795655737493,0.44536864532199794,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2015,0.5815415413963217,0.43458428033066776,0.28940858390950414,0.6779762830671563,0.3560458588903116,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2015,0.5678792384350573,0.3965283391328407,0.22726329545971383,0.6342092478231495,0.3054689458183909,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2015,0.5935702452973041,0.4665142910084735,0.34436510711117185,0.7152760302630182,0.4004280510292305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2016,0.562713110960851,0.31055588410121315,0.2834663688726058,0.6392423438343029,0.2966282527331565,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2016,0.5831443341146763,0.36661325887004825,0.37663316958324783,0.7036823407447905,0.3722375934301642,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2016,0.5301332499432676,0.22104837586654635,0.135284727957238,0.5351625373071739,0.17624484815643554,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2016,0.577829658754011,0.17194626626583004,0.053978542285428616,0.4781018236746925,0.11019495620596265,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/IL/factors.csv b/reports/figures/results/IL/factors.csv
new file mode 100644
index 0000000..6d0e96d
--- /dev/null
+++ b/reports/figures/results/IL/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+11/1/2016,1.2042547467094438,0.6552488832051879,775363.7456,50662.24028,98017.81842,348528.3311,148680.0587,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+12/1/2016,1.2042547467094438,1.5414051726456104,777579.3443,50652.18012,97924.33606,348879.7052,148576.5162,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+1/1/2017,1.2042547467094435,1.4191366404970995,773659.1467,50611.73409,97891.3049,348465.6683,148503.0311,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+2/1/2017,1.2042547467094435,0.08786852219229213,771437.6875,50681.28572,98070.79031,348809.6839,148752.0602,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+3/1/2017,1.2042547467094435,-1.1848938031056007,770826.9202,50856.44287,98454.58336,349880.6534,149311.0025,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+4/1/2017,1.2042547467094435,0.5093272803478357,770977.5496,50891.83941,98567.73592,349990.3225,149459.5438,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+5/1/2017,1.2042547467094438,-1.0062560493628538,773038.6704,51053.29789,98924.96106,350967.1929,149978.2195,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+6/1/2017,1.2042547467094435,-0.23792927695622312,774141.3788,51151.44356,99159.47644,351508.9071,150310.8727,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+7/1/2017,1.2042547467094433,-0.6603401865317859,777055.0758,51285.23334,99463.0361,352295.7254,150748.2143,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+8/1/2017,1.2042547467094435,0.6450056341182386,778320.4987,51310.3912,99555.79853,352336.6606,150866.1269,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+9/1/2017,1.2042547467094435,1.4970591004391005,778503.8172,51264.56696,99510.56897,351890.9814,150775.0655,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+10/1/2017,1.2042547467094435,0.10918586777182737,780204.4733,51334.82734,99690.44583,352242.8144,151025.195,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+11/1/2017,1.2042547467094438,0.2298286129252516,781753.7405,51395.25704,99851.09603,352527.5997,151246.2673,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+12/1/2017,1.2042547467094435,0.10873875054197135,783458.9643,51466.06842,100031.7816,352883.997,151497.7566,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+1/1/2018,1.2042547467094438,1.2322167970400186,787559.0991,51409.37514,100063.1664,352875.2569,151472.4561,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+2/1/2018,1.2042547467094438,0.5535380952307734,792505.4588,51409.8645,100205.0019,353256.7402,151614.789,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+3/1/2018,1.2042547467094435,-0.07458077488676085,798248.9771,51463.29922,100449.4929,354000.5753,151912.7226,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+4/1/2018,1.2042547467094435,0.26761856924909677,799082.5215,51488.43699,100638.2808,354548.4992,152126.656,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+5/1/2018,1.2042547467094438,0.2388334605759621,799957.1753,51516.33347,100831.9238,355113.9784,152348.2034,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+6/1/2018,1.2042547467094438,-0.21493039331165453,801427.3844,51582.66939,101100.3813,355943.2961,152683.0045,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+7/1/2018,1.2042547467094435,-0.34418944854091804,802971.2437,51660.28698,101390.6644,356849.6945,153050.913,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+8/1/2018,1.2042547467094435,-0.42220006888635064,804623.4785,51744.91407,101694.4695,357803.8807,153439.3529,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+9/1/2018,1.2042547467094435,0.4381996849607491,805153.4882,51757.4353,101856.1588,358258.3825,153613.5712,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+10/1/2018,1.2042547467094435,0.16067216652460337,805207.8207,51793.66653,102063.9773,358875.5769,153857.6286,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+11/1/2018,1.2042547467094438,-0.6281308331036202,806303.9335,51896.83916,102403.4205,359955.8284,154300.2521,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+12/1/2018,1.2042547467094435,-0.7506897280750242,807569.5241,52010.89998,102764.2649,361111.3762,154775.1649,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+1/1/2019,1.2042547467094435,-0.24402406674773536,809189.6761,52140.50518,102983.2136,361722.5806,155123.7188,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+2/1/2019,1.2042547467094435,0.7897491437095627,809450.7968,52182.50478,103029.1842,361726.4337,155211.6889,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+3/1/2019,1.2042547467094435,1.5100779115061211,808764.1055,52163.29505,102954.4603,361307.2101,155117.7554,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+4/1/2019,1.2042547467094435,1.7323708281636752,808665.027,52125.18977,102842.655,360758.7599,154967.8448,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+5/1/2019,1.2042547467094433,0.27215525245232275,810487.5777,52211.06873,102975.6075,361069.4758,155186.6762,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+6/1/2019,1.2042547467094438,0.29165925864133624,812285.4414,52295.40183,103105.5624,361369.9004,155400.9642,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+7/1/2019,1.2042547467094435,0.7407688745155043,814410.8065,52341.55207,103160.3145,361407.0855,155501.8666,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+8/1/2019,1.2042547467094435,0.0680434666382761,817427.148,52445.12645,103328.3091,361841.2753,155773.4355,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+9/1/2019,1.2042547467094435,0.27715696498081427,820165.9604,52530.98714,103461.4407,362153.5383,155992.4279,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+10/1/2019,1.2042547467094438,1.0645889360183953,817751.8874,52549.54433,103462.1109,362002.5417,156011.6552,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+11/1/2019,1.2042547467094433,0.12072344083877318,816601.9728,52648.92564,103621.9965,362408.9865,156270.9222,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+12/1/2019,1.2042547467094435,1.3504407173817168,813825.5852,52642.95261,103574.6279,362091.0092,156217.5806,0.0,0.0,0.0,0.0,0.0,,,,,,,,IL
+1/1/2020,1.203098462583912,0.03340687384721264,806526.2355,52872.4101,103627.4983,359890.9435,156499.9084,2.0,2.0,0.0,0.0,2.0,0.0,58.0,28.0,6.0,6.0,0.0,0.0,IL
+2/1/2020,1.1955911291915025,-0.41333974143537355,799844.2724,53140.21188,103756.715,357963.1914,156896.9269,0.0,0.0,0.0,0.0,0.0,0.0,136.0,130.0,60.0,60.0,0.0,0.0,IL
+3/1/2020,-1.305472350386074,-2.463580879120324,795839.8903,53586.67798,104234.3491,357234.9175,157821.027,5992.0,5992.0,99.0,99.0,5992.0,99.0,35496.0,35125.0,12652.0,12616.0,2140.0,2114.0,IL
+4/1/2020,-5.021280240104385,-4.354473110360646,778072.6072,54202.27933,105038.0241,357606.1879,159240.3035,46924.0,46924.0,2256.0,2256.0,46924.0,2256.0,125430.0,124695.0,26088.0,26004.0,6845.0,6689.0,IL
+5/1/2020,-1.3459262452043816,-0.4381033186532912,755272.8064,54475.21439,105175.9883,355700.9249,159651.2027,67342.0,67342.0,3035.0,3035.0,67342.0,3035.0,101315.0,100712.0,13068.0,13012.0,3182.0,3072.0,IL
+6/1/2020,0.9424406153461069,1.107755396507422,730688.693,54610.64056,105050.2501,352914.7328,159660.8907,23978.0,22925.0,1734.0,1533.0,22925.0,1533.0,45381.0,45071.0,4724.0,4702.0,328.0,314.0,IL
+7/1/2020,-0.273685528654396,0.7371075193063973,747133.451,54778.1319,104988.6935,350359.459,159766.8254,35880.0,35652.0,568.0,572.0,36930.0,769.0,85763.0,85197.0,6525.0,6489.0,330.0,310.0,IL
+8/1/2020,-1.2006482649126033,0.8114172526635911,763392.8726,54938.23171,104915.2537,347778.5557,159853.4854,56607.0,56186.0,543.0,531.0,56609.0,543.0,120597.0,118594.0,7456.0,7428.0,584.0,570.0,IL
+9/1/2020,-1.5375434658518965,0.060224579469850714,780510.514,55164.98974,104970.9487,345637.045,160135.9385,59038.0,58251.0,681.0,646.0,58996.0,681.0,125454.0,122174.0,7897.0,7843.0,759.0,735.0,IL
+10/1/2020,-6.543038712564384,-0.8515498802116491,783101.4438,55473.78069,105183.5381,344017.0745,160657.3188,120796.0,117026.0,1124.0,1085.0,120827.0,1124.0,402065.0,383266.0,17832.0,17546.0,3895.0,3671.0,IL
+11/1/2020,-11.181844200655718,-0.9371154035345332,785810.363,55790.87039,105412.0398,342450.246,161202.9102,309745.0,316004.0,2945.0,2521.0,309757.0,2945.0,612930.0,560928.0,21647.0,20697.0,7183.0,6109.0,IL
+12/1/2020,-8.406767147373479,1.628007266483821,785241.9973,55874.72136,105201.5158,339467.4989,161076.2372,237085.0,237085.0,4993.0,4212.0,237085.0,4993.0,399496.0,339290.0,16768.0,15587.0,4553.0,3648.0,IL
+1/1/2021,-5.032802006810894,-5.525950438945582,790221.0813,56712.39589,106123.201,340647.1448,162835.6043,162912.0,162912.0,3275.0,2753.0,162912.0,3275.0,254724.0,207960.0,13842.0,12510.0,1825.0,1516.0,IL
+2/1/2021,-1.1883020767636636,-5.702404039185241,795549.1718,57571.66928,107089.9396,341984.1804,164661.6236,60395.0,60395.0,1482.0,1273.0,60395.0,1482.0,100368.0,80942.0,6245.0,5713.0,434.0,374.0,IL
+3/1/2021,-1.7895137599375908,-3.995826632844936,798776.753,58274.56174,107771.6224,342427.0672,166046.2062,57889.0,57889.0,844.0,785.0,57889.0,844.0,140280.0,115035.0,9500.0,8698.0,578.0,520.0,IL
+4/1/2021,-2.5156318628282635,-4.242500282384401,802392.4614,59002.75448,108507.0058,343059.84,167509.7895,90470.0,90470.0,712.0,659.0,90470.0,712.0,162308.0,133785.0,12655.0,11573.0,762.0,682.0,IL
+5/1/2021,-0.42759987251379605,-4.272848943774109,806145.4986,59736.26607,109258.4125,343760.7669,168994.7149,47131.0,47131.0,932.0,867.0,47131.0,932.0,63821.0,50845.0,5942.0,5415.0,248.0,212.0,IL
+6/1/2021,0.8363434099955984,-3.862655280601831,809453.914,60432.01857,109946.9937,344281.6002,170379.0556,9553.0,9553.0,451.0,400.0,9554.0,450.0,19108.0,14854.0,1972.0,1818.0,0.0,0.0,IL
+7/1/2021,-0.5474821441930346,-4.354772686113424,810721.3514,61178.60489,110733.8673,345126.6748,171912.5225,29741.0,29741.0,246.0,216.0,27871.0,243.0,93390.0,74616.0,6489.0,5792.0,242.0,200.0,IL
+8/1/2021,-3.397270859385839,-4.6254778247375885,812465.4197,61955.64678,111580.6453,346172.0655,173536.3494,101462.0,101462.0,580.0,510.0,103339.0,582.0,232148.0,182667.0,14233.0,12698.0,1074.0,904.0,IL
+9/1/2021,-2.5833299894006116,-5.020825384728711,814851.0376,62777.07862,112511.2578,347488.678,175288.4006,104566.0,104566.0,1165.0,1023.0,104566.0,1163.0,186135.0,145304.0,10373.0,9258.0,624.0,518.0,IL
+10/1/2021,-1.7365392528662233,-3.3144439996920365,818739.0087,63427.22245,113139.6533,347885.6221,176566.9467,68016.0,68016.0,955.0,795.0,68021.0,959.0,143909.0,111652.0,8096.0,7342.0,476.0,426.0,IL
+11/1/2021,-4.822191913331885,-2.97209358785293,822234.8562,64042.8793,113712.7891,348130.7318,177755.7459,114351.0,114351.0,756.0,643.0,114340.0,752.0,309772.0,249964.0,17434.0,16104.0,1683.0,1491.0,IL
+12/1/2021,-18.804139440363873,-3.3083241525849725,826244.1413,64694.59193,114355.9041,348607.383,179050.5802,371134.0,371134.0,1641.0,1407.0,339697.0,1645.0,1351667.0,1067410.0,41403.0,38577.0,5133.0,4589.0,IL
+1/1/2022,-17.18430669517016,0.5544750213526406,827383.2821,64667.61252,114555.6797,349612.2146,179223.369,739962.0,739962.0,3687.0,3092.0,771407.0,3647.0,918339.0,749022.0,24778.0,23268.0,2898.0,2398.0,IL
+2/1/2022,-4.094837173273014,0.9751115934693044,827952.0933,64597.34727,114676.0222,350370.2286,179273.4388,110249.0,110249.0,2206.0,1850.0,110242.0,2237.0,90158.0,75793.0,3953.0,3653.0,125.0,92.0,IL
+3/1/2022,-1.062099743655591,3.1778957044279688,825550.3994,64297.07141,114384.2987,349863.2965,178681.4319,37017.0,37017.0,757.0,614.0,37021.0,763.0,64307.0,54777.0,2222.0,2126.0,11.0,8.0,IL
+4/1/2022,-2.124934863014368,-1.3889960457422728,828716.6051,64476.77336,114943.6917,351955.255,179420.5199,70445.0,70445.0,231.0,237.0,70448.0,239.0,211808.0,182063.0,4621.0,4477.0,58.0,52.0,IL
+5/1/2022,-4.181092477418992,1.1221946682887585,828503.2979,64394.07195,115033.381,352605.9553,179427.5007,163734.0,163734.0,237.0,200.0,163731.0,232.0,329064.0,279091.0,6979.0,6729.0,90.0,86.0,IL
+6/1/2022,-3.3906403033466224,3.4887472400464423,825107.1151,64065.03012,114679.2619,351890.3426,178744.3325,128427.0,128427.0,453.0,324.0,128420.0,453.0,241652.0,199918.0,5160.0,4958.0,88.0,75.0,IL
+7/1/2022,-3.6558115548901897,-3.1176607329898154,829071.3172,64427.86291,115561.5412,354965.2882,179989.4379,132810.0,132810.0,294.0,219.0,132810.0,294.0,279595.0,226869.0,5374.0,5131.0,136.0,104.0,IL
+8/1/2022,-2.593161342732184,-0.8781840575752604,830040.061,64557.82038,116025.7177,356755.3289,180583.565,123896.0,123896.0,446.0,355.0,123896.0,446.0,171117.0,136288.0,3914.0,3731.0,75.0,59.0,IL
+9/1/2022,-1.0619041846773742,-0.39069378621157896,830367.7691,64637.58719,116398.2836,358261.4737,181035.8909,74671.0,74671.0,370.0,299.0,74671.0,370.0,54915.0,45605.0,2905.0,2790.0,67.0,56.0,IL
+10/1/2022,-0.14982447030113544,-0.16453997187610747,832626.1872,64694.47855,116728.0117,359633.187,181422.5036,11447.0,11447.0,79.0,62.0,0.0,0.0,61686.0,49585.0,2954.0,2796.0,38.0,32.0,IL
+11/1/2022,0.21742216224351166,-1.8629612852658632,837196.7122,64931.57988,117381.818,362001.6861,182313.4045,0.0,0.0,0.0,0.0,0.0,,75912.0,60530.0,2709.0,2592.0,53.0,43.0,IL
+12/1/2022,0.06801219235480288,-2.1179687491731896,842136.0639,65197.46172,118087.3174,364529.0804,183284.7791,0.0,0.0,0.0,0.0,0.0,,81619.0,63741.0,4394.0,4186.0,103.0,92.0,IL
diff --git a/reports/figures/results/IL/model.csv b/reports/figures/results/IL/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/IL/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/IL/raw.csv b/reports/figures/results/IL/raw.csv
new file mode 100644
index 0000000..af4f0f6
--- /dev/null
+++ b/reports/figures/results/IL/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,718953.5051,46458.56983,97025.18124,315340.4658,143483.7511,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+8/1/2012,728172.1709,46810.52544,97388.52527,317460.0716,144199.0507,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,726444.9736,46768.12381,97239.33791,317128.3336,144007.4617,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2012,723744.0653,46859.48408,97307.88664,317659.8681,144167.3707,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,723338.9997,46966.09108,97468.80996,318338.7512,144434.901,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,725280.5752,47001.86201,97395.299,318377.5768,144397.1693,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+7/1/2013,727108.8133,47491.72866,97531.22718,320484.1036,145023.0134,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2013,733762.1343,47745.34342,97478.23441,321404.6698,145223.6678,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2014,734536.101,47783.81796,97374.44351,321897.3696,145158.3511,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+3/1/2014,732525.1846,47858.75194,97446.24206,323256.1706,145305.0671,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+8/1/2014,752210.021,48057.67435,97651.09149,326712.8656,145708.7981,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2015,768750.5327,48965.04497,99005.63607,334374.7458,147970.681,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+8/1/2015,777085.5165,49724.93442,98268.98165,338198.7652,147993.9161,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,780885.4767,49973.47249,98442.93681,339698.661,148416.4093,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2015,778885.0073,50299.86033,98453.96615,341537.8003,148753.8265,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,778699.1177,50515.72351,98562.46308,342814.9303,149078.1866,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,777184.8037,50573.24841,98598.08885,343640.6324,149171.3373,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+7/1/2016,773010.1006,50626.95504,98247.89544,346590.3603,148874.8505,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+9/1/2016,770089.8092,50628.66434,98101.54942,347452.4652,148730.2138,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,772025.9386,50599.3167,97970.26002,347673.9418,148569.5767,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,775363.7456,50662.24028,98017.81842,348528.3311,148680.0587,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2017,773659.1467,50611.73409,97891.3049,348465.6683,148503.0311,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+5/1/2017,773038.6704,51053.29789,98924.96106,350967.1929,149978.2195,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+9/1/2017,778503.8172,51264.56696,99510.56897,351890.9814,150775.0655,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2018,787559.0991,51409.37514,100063.1664,352875.2569,151472.4561,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+8/1/2018,804623.4785,51744.91407,101694.4695,357803.8807,153439.3529,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2018,805153.4882,51757.4353,101856.1588,358258.3825,153613.5712,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2018,806303.9335,51896.83916,102403.4205,359955.8284,154300.2521,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2018,807569.5241,52010.89998,102764.2649,361111.3762,154775.1649,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2019,809189.6761,52140.50518,102983.2136,361722.5806,155123.7188,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+12/1/2019,813825.5852,52642.95261,103574.6279,362091.0092,156217.5806,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2020,806526.2355,52872.4101,103627.4983,359890.9435,156499.9084,2.0,2.0,0.0,0.0,2.0,0.0,58.0,28.0,6.0,6.0,0.0,0.0
+2/1/2020,799844.2724,53140.21188,103756.715,357963.1914,156896.9269,0.0,0.0,0.0,0.0,0.0,0.0,136.0,130.0,60.0,60.0,0.0,0.0
+3/1/2020,795839.8903,53586.67798,104234.3491,357234.9175,157821.027,5992.0,5992.0,99.0,99.0,5992.0,99.0,35496.0,35125.0,12652.0,12616.0,2140.0,2114.0
+4/1/2020,778072.6072,54202.27933,105038.0241,357606.1879,159240.3035,46924.0,46924.0,2256.0,2256.0,46924.0,2256.0,125430.0,124695.0,26088.0,26004.0,6845.0,6689.0
+5/1/2020,755272.8064,54475.21439,105175.9883,355700.9249,159651.2027,67342.0,67342.0,3035.0,3035.0,67342.0,3035.0,101315.0,100712.0,13068.0,13012.0,3182.0,3072.0
+6/1/2020,730688.693,54610.64056,105050.2501,352914.7328,159660.8907,23978.0,22925.0,1734.0,1533.0,22925.0,1533.0,45381.0,45071.0,4724.0,4702.0,328.0,314.0
+7/1/2020,747133.451,54778.1319,104988.6935,350359.459,159766.8254,35880.0,35652.0,568.0,572.0,36930.0,769.0,85763.0,85197.0,6525.0,6489.0,330.0,310.0
+8/1/2020,763392.8726,54938.23171,104915.2537,347778.5557,159853.4854,56607.0,56186.0,543.0,531.0,56609.0,543.0,120597.0,118594.0,7456.0,7428.0,584.0,570.0
+9/1/2020,780510.514,55164.98974,104970.9487,345637.045,160135.9385,59038.0,58251.0,681.0,646.0,58996.0,681.0,125454.0,122174.0,7897.0,7843.0,759.0,735.0
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+1/1/2021,790221.0813,56712.39589,106123.201,340647.1448,162835.6043,162912.0,162912.0,3275.0,2753.0,162912.0,3275.0,254724.0,207960.0,13842.0,12510.0,1825.0,1516.0
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+6/1/2021,809453.914,60432.01857,109946.9937,344281.6002,170379.0556,9553.0,9553.0,451.0,400.0,9554.0,450.0,19108.0,14854.0,1972.0,1818.0,0.0,0.0
+7/1/2021,810721.3514,61178.60489,110733.8673,345126.6748,171912.5225,29741.0,29741.0,246.0,216.0,27871.0,243.0,93390.0,74616.0,6489.0,5792.0,242.0,200.0
+8/1/2021,812465.4197,61955.64678,111580.6453,346172.0655,173536.3494,101462.0,101462.0,580.0,510.0,103339.0,582.0,232148.0,182667.0,14233.0,12698.0,1074.0,904.0
+9/1/2021,814851.0376,62777.07862,112511.2578,347488.678,175288.4006,104566.0,104566.0,1165.0,1023.0,104566.0,1163.0,186135.0,145304.0,10373.0,9258.0,624.0,518.0
+10/1/2021,818739.0087,63427.22245,113139.6533,347885.6221,176566.9467,68016.0,68016.0,955.0,795.0,68021.0,959.0,143909.0,111652.0,8096.0,7342.0,476.0,426.0
+11/1/2021,822234.8562,64042.8793,113712.7891,348130.7318,177755.7459,114351.0,114351.0,756.0,643.0,114340.0,752.0,309772.0,249964.0,17434.0,16104.0,1683.0,1491.0
+12/1/2021,826244.1413,64694.59193,114355.9041,348607.383,179050.5802,371134.0,371134.0,1641.0,1407.0,339697.0,1645.0,1351667.0,1067410.0,41403.0,38577.0,5133.0,4589.0
+1/1/2022,827383.2821,64667.61252,114555.6797,349612.2146,179223.369,739962.0,739962.0,3687.0,3092.0,771407.0,3647.0,918339.0,749022.0,24778.0,23268.0,2898.0,2398.0
+2/1/2022,827952.0933,64597.34727,114676.0222,350370.2286,179273.4388,110249.0,110249.0,2206.0,1850.0,110242.0,2237.0,90158.0,75793.0,3953.0,3653.0,125.0,92.0
+3/1/2022,825550.3994,64297.07141,114384.2987,349863.2965,178681.4319,37017.0,37017.0,757.0,614.0,37021.0,763.0,64307.0,54777.0,2222.0,2126.0,11.0,8.0
+4/1/2022,828716.6051,64476.77336,114943.6917,351955.255,179420.5199,70445.0,70445.0,231.0,237.0,70448.0,239.0,211808.0,182063.0,4621.0,4477.0,58.0,52.0
+5/1/2022,828503.2979,64394.07195,115033.381,352605.9553,179427.5007,163734.0,163734.0,237.0,200.0,163731.0,232.0,329064.0,279091.0,6979.0,6729.0,90.0,86.0
+6/1/2022,825107.1151,64065.03012,114679.2619,351890.3426,178744.3325,128427.0,128427.0,453.0,324.0,128420.0,453.0,241652.0,199918.0,5160.0,4958.0,88.0,75.0
+7/1/2022,829071.3172,64427.86291,115561.5412,354965.2882,179989.4379,132810.0,132810.0,294.0,219.0,132810.0,294.0,279595.0,226869.0,5374.0,5131.0,136.0,104.0
+8/1/2022,830040.061,64557.82038,116025.7177,356755.3289,180583.565,123896.0,123896.0,446.0,355.0,123896.0,446.0,171117.0,136288.0,3914.0,3731.0,75.0,59.0
+9/1/2022,830367.7691,64637.58719,116398.2836,358261.4737,181035.8909,74671.0,74671.0,370.0,299.0,74671.0,370.0,54915.0,45605.0,2905.0,2790.0,67.0,56.0
+10/1/2022,832626.1872,64694.47855,116728.0117,359633.187,181422.5036,11447.0,11447.0,79.0,62.0,0.0,0.0,61686.0,49585.0,2954.0,2796.0,38.0,32.0
+11/1/2022,837196.7122,64931.57988,117381.818,362001.6861,182313.4045,0.0,0.0,0.0,0.0,0.0,,75912.0,60530.0,2709.0,2592.0,53.0,43.0
+12/1/2022,842136.0639,65197.46172,118087.3174,364529.0804,183284.7791,0.0,0.0,0.0,0.0,0.0,,81619.0,63741.0,4394.0,4186.0,103.0,92.0
diff --git a/reports/figures/results/IL/results.csv b/reports/figures/results/IL/results.csv
new file mode 100644
index 0000000..e63994b
--- /dev/null
+++ b/reports/figures/results/IL/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-1200.816
+                ,+ 2 factors in 2 blocks,  AIC                ,2511.631
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2669.767
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2575.889
+Time:           ,18:48:34               ,  EM Iterations      ,241
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.12      ,0.57                   ,0.67
+Cons3           ,.       ,-0.52      ,0.91                   ,0.02
+Cons4           ,.       ,-0.56      ,0.91                   ,0.01
+Cons5           ,.       ,-0.29      ,0.87                   ,0.22
+Cons2           ,.       ,-0.56      ,0.94                   ,0.00
+Cases5          ,-0.29   ,.          ,-0.25                  ,0.15
+Cases2          ,-0.29   ,.          ,-0.26                  ,0.15
+Deaths5         ,-0.28   ,.          ,0.50                   ,0.36
+Deaths2         ,-0.28   ,.          ,0.53                   ,0.36
+Cases3          ,-0.29   ,.          ,-0.29                  ,0.17
+Deaths3         ,-0.28   ,.          ,0.50                   ,0.36
+Cases4          ,-0.29   ,.          ,0.15                   ,0.05
+Cases1          ,-0.29   ,.          ,0.17                   ,0.05
+Hosp2           ,-0.30   ,.          ,0.75                   ,0.07
+Hosp1           ,-0.30   ,.          ,0.75                   ,0.07
+Deaths4         ,-0.28   ,.          ,0.72                   ,0.20
+Deaths1         ,-0.27   ,.          ,0.71                   ,0.22
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.76       ,4.19
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.64          ,1.81
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/IL/run-info.yaml b/reports/figures/results/IL/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/IL/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/MA/df.csv b/reports/figures/results/MA/df.csv
new file mode 100644
index 0000000..faa5237
--- /dev/null
+++ b/reports/figures/results/MA/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.6112605074147085,0.3053078613252142,0.27859679171555124,0.5319085813175483,0.28376912360669315,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.6169860341346105,0.3225025866798784,0.30757083056955287,0.5501492324500485,0.30835391943018364,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.6687214909557883,0.35413817489448907,0.36062281902467286,0.5836991750075665,0.35342899617387086,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.7119240278458696,0.4847626138796042,0.5787346895537938,0.7221916182132974,0.5389674265117053,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.7004061913393359,0.4510543415972649,0.5228235045210068,0.6864673841526131,0.4913175689155814,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.6502939413100803,0.40435432829034434,0.4452471020090752,0.6369699648913558,0.4252313372245147,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5965678294335918,0.24311276465720638,0.1766733724431389,0.4660417718793008,0.19661020842408972,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.6021616948070396,0.26000578279809017,0.205133349938438,0.48396207823315357,0.2207597693385326,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.5574894615940168,0.2633890424356245,0.2110642187317527,0.4875599179546354,0.22573785689126535,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.6226809356579114,0.45884465134422364,0.5372697382318925,0.6947823302119527,0.5032642588496564,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.6134277528144815,0.4307477225151635,0.49070459240783887,0.6650064536636883,0.46356989189479136,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6012254831785453,0.3201252144738959,0.3071698149194167,0.5626405829626492,0.30714028556642753,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.5702348291974719,0.2268815458507548,0.15197332313021072,0.4637247654845812,0.1750023430499941,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.6592042160249714,0.4938739245496333,0.5974604026905163,0.7467118623464264,0.5540357274173969,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.6480078700443286,0.46487326221520825,0.5493841274951714,0.7159038980713996,0.5130558943426373,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.6222500408387216,0.3873319801036186,0.4203657121717888,0.6336363482282003,0.40319613022176537,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.5953041570983495,0.30622413250122593,0.28539844489052446,0.5475881722236061,0.2882743542428382,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.6645805846162025,0.35495991070066674,0.36694074432687357,0.599193551092502,0.35759868144747003,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.6589599596996522,0.33883675973706995,0.3403305865891328,0.5820394875498575,0.33488757074192077,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.6790976346028403,0.40005681164247425,0.4426867211066397,0.646880894376598,0.4219247903223438,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.634204331350654,0.3299222629358728,0.32601047105360365,0.5724678796793968,0.32256975080744676,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.6363566153030149,0.33663355491669095,0.33747121020693444,0.5795230168645992,0.3322573380227959,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.6284961894867588,0.31327498933565046,0.298789530103805,0.5547001866600304,0.2992749427554215,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.5250305037108423,0.3476328069622938,0.394782743036857,0.6202436944893771,0.37023805548532035,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.5484017749076706,0.41774581457876064,0.5118495147347346,0.6943057132251649,0.46981845960381335,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.5229351363612867,0.34120531666942727,0.3843737549948144,0.6128964063282992,0.36129785473176457,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.662679413730433,0.3441094923804139,0.38936882067182843,0.6157125213308464,0.3655078879976353,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2014,0.6661206352936323,0.35535771086307777,0.4082761712789089,0.627377114853246,0.381557335072032,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2014,0.6763242560902742,0.3869020938339726,0.4610256902244101,0.6605611125365916,0.42640616737309256,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2014,0.7187655818514461,0.36619580061558477,0.4266471404674462,0.6383542738756076,0.39711091442289453,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2014,0.7468788038237792,0.45337752068616705,0.5721681173030784,0.7305267833296839,0.5209072239233241,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2014,0.7390603366838553,0.43261151914389817,0.5376876427852377,0.7082615888804563,0.4915258379184845,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2014,0.7312436741463537,0.459277754248462,0.5822980950920225,0.7362837565950291,0.5294497148318273,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2014,0.7396544047024362,0.4864886317400342,0.6278155736253588,0.7648856907502692,0.5681457467671726,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2014,0.7526198186591657,0.5273480109215023,0.6960903893669944,0.8079593208087654,0.6262081780172768,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2015,0.7589570701193452,0.706067601795132,0.7938056440962398,1.0,0.7650888385372565,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2015,0.6463424072524798,0.3681861516066437,0.23120827510110942,0.6415194901298009,0.2862097105942607,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2015,0.6412498948824676,0.3531865117402264,0.20700343356326478,0.6253429705094306,0.26549329264478766,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2015,0.6919341737157022,0.41452187217487657,0.31008026671120026,0.6900952731182741,0.353091622985106,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2015,0.6623859662179981,0.3269208160178239,0.164804355145501,0.5969563414606235,0.22934658136155422,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2015,0.6699222198137338,0.3506682437772137,0.20519437967192558,0.6218655281326009,0.2636002735844407,0.0,0.0,0.0,0.0,0.0,0.07361963190184048,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/MA/factors.csv b/reports/figures/results/MA/factors.csv
new file mode 100644
index 0000000..7991b9f
--- /dev/null
+++ b/reports/figures/results/MA/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+4/1/2022,-0.701723021917493,-1.6717437362610736,558691.5152,36714.32371,68560.25271,244846.4034,105274.6038,58342.0,53612.0,158.0,140.0,58342.0,158.0,130776.0,119067.0,1291.0,1257.0,103.0,84.0,MA
+5/1/2022,-2.528416080316953,1.418456191367226,558436.4132,36655.36931,68598.97792,245078.8771,105254.3813,113733.0,99964.0,331.0,274.0,113733.0,331.0,224153.0,195106.0,2224.0,2168.0,442.0,359.0,MA
+6/1/2022,-0.4279017032717558,4.330315636433059,556037.7129,36456.37671,68373.27547,244365.1629,104829.6927,53866.0,47689.0,350.0,299.0,53866.0,350.0,102941.0,90738.0,1246.0,1226.0,224.0,164.0,MA
+7/1/2022,-0.9594790331535092,-3.807109532028808,557693.7851,36651.20168,68884.85944,246285.6742,105536.1084,42217.0,37732.0,232.0,189.0,42217.0,232.0,95546.0,84753.0,1555.0,1516.0,219.0,158.0,MA
+8/1/2022,-0.19105319145043964,-1.0511498885872634,557336.6578,36713.57063,69147.24234,247315.0513,105860.8668,38331.0,34772.0,214.0,165.0,38331.0,214.0,71641.0,63653.0,1219.0,1177.0,182.0,143.0,MA
+9/1/2022,0.5980900203642696,-0.452772340028618,556555.2459,36747.46686,69355.11542,248148.9118,106102.6427,45692.0,40487.0,316.0,229.0,45692.0,316.0,40967.0,35884.0,828.0,811.0,187.0,143.0,MA
+10/1/2022,0.6338559606410343,-0.17633418715894877,560275.9523,36768.44028,69537.5653,248891.1624,106306.0724,9942.0,8480.0,65.0,49.0,0.0,0.0,34834.0,29760.0,815.0,792.0,323.0,245.0,MA
+11/1/2022,0.9085575687198677,-2.2696963612496206,565542.0702,36891.88792,69913.14212,250324.2374,106805.1035,0.0,0.0,0.0,0.0,0.0,,26856.0,22463.0,679.0,657.0,215.0,155.0,MA
+12/1/2022,0.09828410023313294,-2.5854482579834213,571054.0907,37031.70444,70319.52824,251867.4935,107351.3128,0.0,0.0,0.0,0.0,0.0,,46798.0,39197.0,1074.0,1043.0,388.0,293.0,MA
diff --git a/reports/figures/results/MA/model.csv b/reports/figures/results/MA/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/MA/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/MA/raw.csv b/reports/figures/results/MA/raw.csv
new file mode 100644
index 0000000..3e9d1e8
--- /dev/null
+++ b/reports/figures/results/MA/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,437236.0574,27727.81154,58369.04583,203748.874,86096.85737,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+4/1/2012,438989.9799,27774.81826,58372.45242,204077.1968,86147.27068,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,441569.227,27874.1454,58533.60935,204798.496,86407.75474,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,443878.0791,27956.30065,58658.62954,205393.6151,86614.93019,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,444952.2759,28014.36234,58733.08937,205811.7188,86747.45171,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,444693.0802,27988.50862,58631.79282,205613.3566,86620.30144,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,444572.8688,27971.46315,58549.24835,205479.7567,86520.7115,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,443345.4844,27956.18662,58470.68678,205359.2015,86426.8734,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,443733.7283,28042.64529,58605.01214,205985.987,86647.65743,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,443892.915,28114.67995,58709.15471,206506.8146,86823.83466,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,443749.723,28128.98324,58693.24251,206657.6047,86822.22575,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+9/1/2013,449776.5633,28460.88134,59023.16593,209458.1979,87484.04727,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2014,449677.9366,28543.75656,59043.66042,210352.2181,87587.41697,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+4/1/2020,530405.9436,32185.92669,65043.58791,245129.9171,97229.51459,55585.0,55585.0,3970.0,3858.0,56943.0,3473.0,112398.0,110680.0,13292.0,13162.0,10450.0,10074.0
+5/1/2020,514475.0936,32260.58648,65016.26598,243734.7497,97276.85246,34760.0,34760.0,3114.0,3032.0,30393.0,3284.0,62015.0,57479.0,4363.0,4235.0,2882.0,2670.0
+6/1/2020,497330.6485,32254.21234,64826.44971,241736.3607,97080.66206,6736.0,6736.0,887.0,883.0,7180.0,1208.0,16197.0,13536.0,950.0,908.0,220.0,194.0
+7/1/2020,508364.1542,32267.3356,64676.96629,239896.7261,96944.30189,6086.0,6086.0,500.0,495.0,7396.0,555.0,18364.0,13822.0,616.0,584.0,60.0,48.0
+8/1/2020,519272.4836,32276.61541,64520.82828,238040.0798,96797.4437,8997.0,8997.0,442.0,441.0,9182.0,-276.0,20830.0,17666.0,614.0,590.0,0.0,0.0
+9/1/2020,530765.323,32325.46836,64444.64355,236484.6165,96770.1119,11627.0,10969.0,418.0,410.0,11098.0,115.0,26242.0,24900.0,840.0,820.0,0.0,0.0
+10/1/2020,536237.0426,32422.56915,64465.01505,235286.1822,96887.58419,26460.0,24768.0,542.0,531.0,26460.0,223.0,56871.0,53687.0,1384.0,1332.0,290.0,262.0
+11/1/2020,541787.8017,32524.55985,64495.19102,234124.1366,97019.75086,67556.0,63808.0,820.0,810.0,67556.0,479.0,156716.0,148893.0,3100.0,3010.0,1316.0,1244.0
+12/1/2020,545062.5056,32490.94962,64257.24476,231994.4717,96748.19438,149046.0,141116.0,1765.0,1733.0,149046.0,1372.0,302108.0,286018.0,4786.0,4704.0,3168.0,3032.0
+1/1/2021,545637.5889,32913.62077,64681.37581,233256.5826,97594.99658,148847.0,138700.0,2219.0,2189.0,148847.0,1756.0,275294.0,256052.0,3783.0,3659.0,2348.0,2206.0
+2/1/2021,546474.2109,33349.28279,65133.95479,234623.2033,98483.23758,57123.0,52157.0,1387.0,1359.0,57123.0,1074.0,108287.0,98711.0,1516.0,1434.0,452.0,400.0
+3/1/2021,545894.0263,33694.93189,65414.40791,235372.2323,99109.3398,54432.0,47875.0,1024.0,1006.0,54432.0,461.0,116134.0,103769.0,1180.0,1132.0,76.0,72.0
+4/1/2021,548143.2331,34055.88917,65728.946,236246.8122,99784.83517,53393.0,47690.0,367.0,359.0,53393.0,339.0,99269.0,88612.0,1010.0,966.0,24.0,24.0
+5/1/2021,550488.537,34420.52999,66054.54382,237163.7897,100475.0738,18064.0,15337.0,262.0,249.0,17972.0,245.0,29730.0,26078.0,512.0,500.0,0.0,0.0
+6/1/2021,552532.5226,34764.02675,66343.51886,237951.9392,101107.5456,2929.0,2618.0,122.0,122.0,3021.0,108.0,6280.0,5425.0,211.0,204.0,0.0,0.0
+7/1/2021,554838.6587,35137.33698,66693.0779,238959.8817,101830.4149,10515.0,9350.0,88.0,84.0,9814.0,105.0,26148.0,23494.0,571.0,556.0,0.0,0.0
+8/1/2021,557458.8071,35528.60889,67079.76939,240102.9393,102608.3783,39388.0,36427.0,164.0,160.0,40089.0,169.0,84748.0,78247.0,1462.0,1424.0,168.0,158.0
+9/1/2021,560509.1261,35945.71862,67517.72139,241431.1734,103463.44,52082.0,48250.0,381.0,366.0,52082.0,362.0,102063.0,95056.0,1638.0,1587.0,244.0,234.0
+10/1/2021,561292.4579,36265.21903,67775.37546,242116.7897,104040.5945,39971.0,36533.0,369.0,361.0,39971.0,355.0,81837.0,75349.0,1457.0,1409.0,314.0,300.0
+11/1/2021,561829.1314,36565.61619,68001.32544,242691.9134,104566.9416,67175.0,61060.0,408.0,390.0,67175.0,385.0,154677.0,141594.0,2346.0,2270.0,606.0,578.0
+12/1/2021,562737.8598,36887.1854,68270.46221,243423.8184,105157.6476,221517.0,204521.0,869.0,830.0,221517.0,825.0,501255.0,464535.0,4115.0,3976.0,1488.0,1394.0
+1/1/2022,561619.388,36859.42239,68374.18075,243892.6695,105233.6101,470980.0,425660.0,1761.0,1598.0,470980.0,1690.0,883420.0,795155.0,5337.0,5139.0,3142.0,2810.0
+2/1/2022,560134.8278,36807.12499,68430.66119,244191.9209,105237.8,59698.0,53903.0,1390.0,1267.0,59698.0,1248.0,100307.0,90085.0,1227.0,1167.0,237.0,186.0
+3/1/2022,556669.1669,36623.95628,68241.48334,243613.0596,104865.4602,27469.0,24868.0,460.0,89.0,27469.0,461.0,56987.0,51405.0,594.0,583.0,22.0,16.0
+4/1/2022,558691.5152,36714.32371,68560.25271,244846.4034,105274.6038,58342.0,53612.0,158.0,140.0,58342.0,158.0,130776.0,119067.0,1291.0,1257.0,103.0,84.0
+5/1/2022,558436.4132,36655.36931,68598.97792,245078.8771,105254.3813,113733.0,99964.0,331.0,274.0,113733.0,331.0,224153.0,195106.0,2224.0,2168.0,442.0,359.0
+6/1/2022,556037.7129,36456.37671,68373.27547,244365.1629,104829.6927,53866.0,47689.0,350.0,299.0,53866.0,350.0,102941.0,90738.0,1246.0,1226.0,224.0,164.0
+7/1/2022,557693.7851,36651.20168,68884.85944,246285.6742,105536.1084,42217.0,37732.0,232.0,189.0,42217.0,232.0,95546.0,84753.0,1555.0,1516.0,219.0,158.0
+8/1/2022,557336.6578,36713.57063,69147.24234,247315.0513,105860.8668,38331.0,34772.0,214.0,165.0,38331.0,214.0,71641.0,63653.0,1219.0,1177.0,182.0,143.0
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+11/1/2022,565542.0702,36891.88792,69913.14212,250324.2374,106805.1035,0.0,0.0,0.0,0.0,0.0,,26856.0,22463.0,679.0,657.0,215.0,155.0
+12/1/2022,571054.0907,37031.70444,70319.52824,251867.4935,107351.3128,0.0,0.0,0.0,0.0,0.0,,46798.0,39197.0,1074.0,1043.0,388.0,293.0
diff --git a/reports/figures/results/MA/results.csv b/reports/figures/results/MA/results.csv
new file mode 100644
index 0000000..12d98c7
--- /dev/null
+++ b/reports/figures/results/MA/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-1107.173
+                ,+ 2 factors in 2 blocks,  AIC                ,2324.346
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2482.482
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2388.604
+Time:           ,18:48:46               ,  EM Iterations      ,251
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.10      ,0.56                   ,0.68
+Cons3           ,.       ,-0.48      ,0.89                   ,0.03
+Cons4           ,.       ,-0.53      ,0.89                   ,0.02
+Cons5           ,.       ,-0.42      ,0.94                   ,0.06
+Cons2           ,.       ,-0.54      ,0.94                   ,0.00
+Cases5          ,-0.28   ,.          ,0.51                   ,0.60
+Cases2          ,-0.28   ,.          ,0.51                   ,0.59
+Deaths5         ,-0.30   ,.          ,0.35                   ,0.24
+Deaths2         ,-0.30   ,.          ,0.34                   ,0.24
+Cases3          ,-0.28   ,.          ,0.51                   ,0.60
+Deaths3         ,-0.29   ,.          ,0.29                   ,0.29
+Cases4          ,-0.28   ,.          ,0.54                   ,0.56
+Cases1          ,-0.28   ,.          ,0.55                   ,0.54
+Hosp2           ,-0.30   ,.          ,1.03                   ,0.00
+Hosp1           ,-0.30   ,.          ,1.03                   ,0.00
+Deaths4         ,-0.28   ,.          ,-0.14                  ,0.09
+Deaths1         ,-0.28   ,.          ,-0.14                  ,0.09
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.61       ,6.16
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.52          ,2.47
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/MA/run-info.yaml b/reports/figures/results/MA/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/MA/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/ME/df.csv b/reports/figures/results/ME/df.csv
new file mode 100644
index 0000000..9c0344f
--- /dev/null
+++ b/reports/figures/results/ME/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.4449949496516967,0.22495611384918449,0.16932591162376354,0.2891489602784704,0.1068005974119196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.45143120047180285,0.24142328711326183,0.1943829695322077,0.31154895109684555,0.13201563086983262,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.5369043465004599,0.27146883086221135,0.24009806065521996,0.35241694785297506,0.1780198901940181,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.584692124105209,0.3945999879911702,0.4274333656398854,0.5198906263545515,0.3665433079168965,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.5720448149424692,0.3631945251559822,0.3796570699990389,0.47717911709202293,0.3184627139384057,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.4383063045437517,0.31957041263512825,0.3132913949176024,0.4178490775631822,0.2516747318488149,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.3790722728558693,0.16823232097687732,0.08305004317891593,0.21201731774385557,0.01997068940996974,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.3853512347691802,0.18440700961047438,0.10766204357774892,0.23401948819012555,0.044737807656212325,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.33586544688899755,0.18787591535312,0.11294344459824154,0.23874051361497173,0.05005171004849815,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.4075197019994917,0.37196406667727466,0.393018694577808,0.4891219586200452,0.33190387948372146,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.3969531515407144,0.3458267986465777,0.35325731936526783,0.45357567077933225,0.29188904900462304,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.5748287904232505,0.3959954250990716,0.313568070320088,0.4089134248268964,0.2852141438632296,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.5397244119177352,0.3079922738477315,0.18033473056622557,0.2898372524947779,0.15098597610969106,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.6371183331428192,0.558750333656898,0.562485991143399,0.631505046534345,0.5354153433906188,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.44478398653146745,0.5311657592913759,0.5211621896596798,0.5945939201416427,0.4936822017183766,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.41626647102400816,0.4579371973432441,0.41039068703154835,0.49559778410923183,0.38206143302781115,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.3864361645742298,0.3813573405142512,0.29451546522384064,0.39203880902522414,0.2653054264229906,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.5149597012132372,0.4268826575215272,0.3644050904016237,0.45454989259308204,0.33549456468465505,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.5089460625148181,0.41141855732318233,0.3415007284886968,0.43410469196345436,0.31230146902813305,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.531378113521342,0.4686892343027651,0.4292493006191503,0.5125810062238916,0.40046473664491866,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.5331286914860773,0.40243904542095416,0.3290692363038333,0.42305255734429176,0.2995072446129186,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.5353044655978273,0.40845587250455023,0.3388306932476091,0.4318095223041608,0.30919009296794747,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.5264243526598444,0.386198075551166,0.3055704206848162,0.4021057795555473,0.2755790162401759,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.44256986925294733,0.4445758865005843,0.3931436125050314,0.32898324274412744,0.36410408875090344,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.46852325733466343,0.5099486230489547,0.4934459365207541,0.41921667537640395,0.464833041478859,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.4405400092800474,0.43741695297297517,0.38393265254982634,0.3218756621165509,0.3544163852992323,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.5410321532435589,0.439599876186688,0.3880801699497876,0.3261417383831308,0.35838387429465585,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2014,0.5448063449853007,0.4496354478545359,0.40416546743007326,0.3410766278090339,0.3743670246477644,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2014,0.5560494476742085,0.47876323376610436,0.44928836391379834,0.38196720294771747,0.41957393548462146,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2014,0.5303133847377177,0.4587610334671329,0.41965679561026126,0.35602544909656,0.38955372137559807,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2014,0.5621913617988836,0.5402211074436253,0.5443795864405443,0.4680701380647401,0.5148696285191037,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2014,0.5543707062298655,0.5201742760095495,0.5146628013929412,0.4420456431037114,0.4847672873578321,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/ME/factors.csv b/reports/figures/results/ME/factors.csv
new file mode 100644
index 0000000..a5835ff
--- /dev/null
+++ b/reports/figures/results/ME/factors.csv
@@ -0,0 +1,132 @@
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+5/1/2022,6.719763933936418,0.936363013374462,69285.41837,6772.989916,14303.95884,39235.6296,21076.94876,18397.0,12448.0,60.0,49.0,17822.0,60.0,32820.0,22001.0,478.0,467.0,0.0,0.0,ME
+6/1/2022,2.15170854692627,3.498052399964063,69028.19159,6730.763003,14278.1673,39119.47827,21008.93031,6682.0,4744.0,72.0,39.0,7024.0,69.0,12959.0,9215.0,327.0,313.0,0.0,0.0,ME
+7/1/2022,2.043179355051467,-3.633929249161553,69207.22006,6761.293494,14406.15115,39425.0468,21167.44464,5838.0,4279.0,49.0,36.0,6071.0,52.0,12098.0,8924.0,353.0,347.0,0.0,0.0,ME
+8/1/2022,1.6091738039760697,-1.2094131063386615,69136.46601,6767.398379,14481.98198,39587.96715,21249.38036,7152.0,5031.0,45.0,39.0,6811.0,45.0,11018.0,7696.0,337.0,330.0,0.0,0.0,ME
+9/1/2022,0.5836510590144459,-0.6778189381848687,69013.24162,6768.287772,14546.26915,39719.60227,21314.55692,6902.0,4674.0,70.0,50.0,6918.0,68.0,7097.0,4798.0,281.0,272.0,0.0,0.0,ME
+10/1/2022,0.6232134175501238,-0.42874631971973315,69526.33142,6766.835442,14605.07557,39836.58715,21371.91102,1935.0,1341.0,28.0,23.0,0.0,0.0,7420.0,4926.0,287.0,270.0,24.0,13.0,ME
+11/1/2022,-0.24796008911659595,-2.258855359435397,70230.95299,6784.267513,14704.34784,40064.15138,21488.61535,0.0,0.0,0.0,0.0,0.0,,3840.0,2518.0,154.0,151.0,0.0,0.0,ME
+12/1/2022,0.05235368945808583,-2.529628286548578,70966.0361,6804.717609,14810.06979,40309.35269,21614.7874,0.0,0.0,0.0,0.0,0.0,,5001.0,3376.0,211.0,207.0,0.0,0.0,ME
diff --git a/reports/figures/results/ME/model.csv b/reports/figures/results/ME/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/ME/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/ME/raw.csv b/reports/figures/results/ME/raw.csv
new file mode 100644
index 0000000..6a2c613
--- /dev/null
+++ b/reports/figures/results/ME/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,53664.70775,4697.85859,11807.20612,32818.87589,16505.06471,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,53595.52815,4690.905901,11788.96576,32768.46142,16479.87166,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,53758.23604,4686.746908,11777.74885,32737.56834,16464.49576,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,54051.86759,4694.005587,11795.22459,32786.42962,16489.23017,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,54312.3646,4698.357137,11805.39397,32814.98235,16503.7511,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,54206.3699,4698.658178,11805.38567,32815.24464,16504.04385,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,53938.81256,4684.919644,11770.10575,32717.4619,16455.0254,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,53689.61635,4672.715409,11738.68538,32630.40576,16411.40079,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,53308.03792,4660.862627,11708.15247,32545.81483,16369.0151,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,53121.2582,4665.992439,11720.28182,32579.81393,16386.27426,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,52906.86231,4668.714523,11726.36267,32596.99979,16395.07719,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,53169.32409,4676.074295,11726.39659,32593.02622,16402.47089,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,53338.3421,4675.303492,11706.14365,32532.68878,16381.44714,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,53772.01231,4697.766845,11744.10778,32634.15262,16441.87462,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,53684.65024,4717.764305,11775.86913,32718.3719,16493.63343,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,53520.21252,4730.991981,11790.73029,32755.63476,16521.72227,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,53275.87229,4737.078674,11787.84526,32743.60849,16524.92393,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,53378.35705,4747.4446,11795.66996,32761.34473,16543.11456,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,53464.78179,4756.378682,11799.98687,32769.34949,16556.36555,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,53612.11226,4770.728705,11817.7745,32814.77105,16588.5032,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,53764.6068,4778.858064,11820.18967,32817.51571,16599.04773,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,53923.46627,4787.570793,11824.10525,32824.43897,16611.67604,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,54058.52043,4794.189099,11822.91054,32817.18977,16617.09964,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,53964.6519,4806.361094,11835.17798,32775.0836,16641.53907,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,53941.67693,4824.796263,11862.91179,32775.99719,16687.70805,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,53842.48559,4836.361331,11873.79928,32730.56181,16710.16062,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,54017.21464,4848.163361,11885.33738,32687.21652,16733.50074,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,54202.85208,4860.958618,11899.37394,32651.01682,16760.33256,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,54420.05144,4876.595332,11920.41539,32634.2505,16797.01072,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,54567.07691,4890.347902,11936.89634,32605.1943,16827.24424,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,54802.74997,4912.044351,11972.79109,32629.26815,16884.83544,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,55017.68359,4931.881825,12004.15686,32641.0085,16936.03868,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,55290.00326,4954.20491,12041.57257,32669.19953,16995.77748,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,55591.02343,4979.097558,12085.21665,32714.21366,17064.31421,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2015,56020.13696,5050.862896,12174.11636,33063.33057,17224.97926,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+7/1/2015,56182.07481,5120.761271,11938.06937,33505.66184,17058.83064,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+9/1/2015,56552.10139,5167.539622,11915.18458,33806.77032,17082.7242,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+12/1/2015,57240.95184,5228.225814,11858.63849,34196.39139,17086.8643,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,57255.75797,5245.056757,11870.66418,34345.38329,17115.72093,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,57335.45133,5267.833504,11896.14369,34533.31332,17163.97719,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,57247.12749,5275.147128,11886.74733,34619.80943,17161.89445,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+5/1/2016,57652.91042,5288.75777,11866.02967,34785.58559,17154.78744,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,57882.12143,5298.056156,11861.43509,34884.61723,17159.49124,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,57874.90325,5315.212663,11874.49225,35035.3026,17189.70491,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,57805.04085,5326.581971,11874.66866,35147.76988,17201.25063,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,57721.58194,5336.641002,11872.00516,35251.47052,17208.64617,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,57841.63279,5344.114036,11863.68726,35337.94273,17207.8013,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,58066.76461,5361.305083,11877.00729,35488.57949,17238.31238,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,58207.9092,5370.749498,11873.22053,35587.8572,17243.97002,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,58133.91773,5367.998634,11883.77543,35595.58256,17251.77406,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2017,58186.4166,5376.906318,11920.05305,35680.48057,17296.95936,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2018,59635.71841,5472.7076,12308.47507,36618.08492,17781.19043,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+6/1/2018,61071.57695,5508.507437,12454.4162,37094.31576,17962.9698,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2019,61472.35961,5587.623994,12719.06763,37907.80776,18306.77574,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+12/1/2019,64466.47883,5631.231036,12912.96417,38226.41237,18544.1952,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2020,64459.81757,5658.169888,12923.10385,38089.60677,18581.27374,0.0,0.0,0.0,0.0,0.0,0.0,39.0,33.0,0.0,0.0,0.0,0.0
+2/1/2020,64500.76528,5689.205006,12942.75382,37981.33309,18631.95882,0.0,0.0,0.0,0.0,0.0,0.0,48.0,10.0,2.0,2.0,0.0,0.0
+3/1/2020,64758.26536,5739.370533,13005.86967,38000.43312,18745.2402,341.0,341.0,5.0,5.0,303.0,5.0,1366.0,1095.0,238.0,238.0,0.0,0.0
+4/1/2020,63830.2022,5807.668931,13109.69396,38137.22555,18917.36289,779.0,743.0,50.0,50.0,792.0,48.0,1345.0,1251.0,144.0,144.0,24.0,22.0
+5/1/2020,62491.54984,5839.26128,13130.44654,38031.64995,18969.70782,1193.0,1004.0,34.0,33.0,1230.0,36.0,2245.0,2076.0,228.0,228.0,32.0,30.0
+6/1/2020,61002.74502,5856.103155,13118.26161,37831.43409,18974.36476,930.0,838.0,16.0,16.0,928.0,16.0,1740.0,1657.0,126.0,124.0,0.0,0.0
+7/1/2020,62637.38836,5876.368482,13114.06865,37655.33468,18990.43713,647.0,591.0,18.0,18.0,659.0,18.0,1175.0,1088.0,42.0,42.0,0.0,0.0
+8/1/2020,64254.96585,5895.827162,13108.37051,37475.89257,19004.19767,625.0,565.0,9.0,9.0,617.0,9.0,1311.0,1189.0,66.0,66.0,0.0,0.0
+9/1/2020,65943.57288,5922.428391,13118.78993,37343.32022,19041.21832,855.0,785.0,10.0,10.0,860.0,9.0,1737.0,1597.0,70.0,70.0,0.0,0.0
+10/1/2020,66471.49971,5957.831757,13148.80995,37266.8864,19106.64171,1262.0,1109.0,5.0,5.0,1273.0,6.0,3331.0,2970.0,159.0,155.0,0.0,0.0
+11/1/2020,67009.29558,5994.125338,13180.8175,37196.16237,19174.94284,6942.0,6063.0,67.0,67.0,5095.0,47.0,14530.0,12747.0,630.0,618.0,26.0,26.0
+12/1/2020,67266.25056,6005.349978,13157.91351,36971.19929,19163.26349,12350.0,9995.0,133.0,128.0,12444.0,153.0,24612.0,19838.0,740.0,726.0,202.0,197.0
+1/1/2021,67236.79419,6085.784118,13257.5374,37188.85918,19343.32152,13673.0,10020.0,248.0,244.0,15123.0,243.0,26631.0,19402.0,535.0,514.0,135.0,125.0
+2/1/2021,67240.28647,6168.603913,13362.90106,37423.06342,19531.50497,4934.0,3172.0,108.0,95.0,5311.0,113.0,10017.0,6457.0,191.0,178.0,0.0,0.0
+3/1/2021,67070.3675,6234.753415,13432.83582,37558.61025,19667.58924,6567.0,4011.0,40.0,40.0,5869.0,40.0,13392.0,8282.0,305.0,277.0,0.0,0.0
+4/1/2021,67231.86097,6303.710966,13509.63194,37714.01227,19813.3429,10833.0,6965.0,41.0,39.0,10709.0,41.0,21783.0,14237.0,377.0,359.0,0.0,0.0
+5/1/2021,67406.32358,6373.328166,13588.57564,37876.01936,19961.90381,5884.0,3615.0,41.0,38.0,6574.0,41.0,10797.0,6815.0,292.0,274.0,0.0,0.0
+6/1/2021,67545.08133,6439.008124,13659.859,38017.28767,20098.86712,1254.0,805.0,34.0,31.0,1247.0,33.0,2210.0,1502.0,82.0,82.0,0.0,0.0
+7/1/2021,67762.11497,6510.189448,13743.49778,38193.51761,20253.68723,1529.0,961.0,41.0,22.0,1429.0,42.0,3502.0,2204.0,146.0,141.0,0.0,0.0
+8/1/2021,68018.04587,6584.681621,13834.69021,38391.21523,20419.37183,7419.0,4560.0,34.0,22.0,5393.0,32.0,14237.0,9069.0,408.0,367.0,24.0,22.0
+9/1/2021,68326.91254,6663.948531,13936.37422,38618.41655,20600.32275,13829.0,9499.0,90.0,77.0,14133.0,90.0,27945.0,18995.0,462.0,428.0,0.0,0.0
+10/1/2021,68461.99463,6725.102642,14000.7434,38742.69728,20725.84604,13083.0,9427.0,143.0,131.0,14270.0,145.0,27121.0,19424.0,652.0,626.0,24.0,24.0
+11/1/2021,68566.52566,6782.691765,14058.43204,38849.12578,20841.1238,21056.0,15282.0,160.0,144.0,15403.0,157.0,41656.0,30502.0,773.0,738.0,80.0,72.0
+12/1/2021,68716.01552,6844.186771,14124.92322,38980.48653,20969.10999,28188.0,22057.0,204.0,182.0,27074.0,207.0,55670.0,44053.0,855.0,818.0,183.0,169.0
+1/1/2022,68920.97532,6833.264975,14169.12198,39053.54109,21002.38695,58995.0,42595.0,220.0,196.0,27489.0,207.0,93088.0,69152.0,869.0,843.0,232.0,197.0
+2/1/2022,69077.20215,6817.859065,14203.27903,39099.4608,21021.13809,14164.0,10161.0,314.0,265.0,51925.0,326.0,56519.0,37876.0,547.0,519.0,0.0,0.0
+3/1/2022,68983.93518,6778.298893,14186.10546,39004.80955,20964.40435,8714.0,5726.0,137.0,117.0,9640.0,138.0,14967.0,9631.0,285.0,275.0,0.0,0.0
+4/1/2022,69276.04068,6789.428801,14274.27205,39200.33234,21063.70085,9034.0,6660.0,84.0,74.0,9290.0,84.0,19365.0,13719.0,334.0,316.0,0.0,0.0
+5/1/2022,69285.41837,6772.989916,14303.95884,39235.6296,21076.94876,18397.0,12448.0,60.0,49.0,17822.0,60.0,32820.0,22001.0,478.0,467.0,0.0,0.0
+6/1/2022,69028.19159,6730.763003,14278.1673,39119.47827,21008.93031,6682.0,4744.0,72.0,39.0,7024.0,69.0,12959.0,9215.0,327.0,313.0,0.0,0.0
+7/1/2022,69207.22006,6761.293494,14406.15115,39425.0468,21167.44464,5838.0,4279.0,49.0,36.0,6071.0,52.0,12098.0,8924.0,353.0,347.0,0.0,0.0
+8/1/2022,69136.46601,6767.398379,14481.98198,39587.96715,21249.38036,7152.0,5031.0,45.0,39.0,6811.0,45.0,11018.0,7696.0,337.0,330.0,0.0,0.0
+9/1/2022,69013.24162,6768.287772,14546.26915,39719.60227,21314.55692,6902.0,4674.0,70.0,50.0,6918.0,68.0,7097.0,4798.0,281.0,272.0,0.0,0.0
+10/1/2022,69526.33142,6766.835442,14605.07557,39836.58715,21371.91102,1935.0,1341.0,28.0,23.0,0.0,0.0,7420.0,4926.0,287.0,270.0,24.0,13.0
+11/1/2022,70230.95299,6784.267513,14704.34784,40064.15138,21488.61535,0.0,0.0,0.0,0.0,0.0,,3840.0,2518.0,154.0,151.0,0.0,0.0
+12/1/2022,70966.0361,6804.717609,14810.06979,40309.35269,21614.7874,0.0,0.0,0.0,0.0,0.0,,5001.0,3376.0,211.0,207.0,0.0,0.0
diff --git a/reports/figures/results/ME/results.csv b/reports/figures/results/ME/results.csv
new file mode 100644
index 0000000..83213bf
--- /dev/null
+++ b/reports/figures/results/ME/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-838.781
+                ,+ 2 factors in 2 blocks,  AIC                ,1787.562
+                ,+ AR(1) idiosyncratic  ,  BIC                ,1945.698
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,1851.820
+Time:           ,18:48:36               ,  EM Iterations      ,376
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.06      ,0.53                   ,0.73
+Cons3           ,.       ,-0.48      ,0.94                   ,0.04
+Cons4           ,.       ,-0.52      ,0.95                   ,0.02
+Cons5           ,.       ,-0.41      ,0.89                   ,0.15
+Cons2           ,.       ,-0.56      ,0.96                   ,0.00
+Cases5          ,0.29    ,.          ,-0.53                  ,0.04
+Cases2          ,0.29    ,.          ,-0.49                  ,0.04
+Deaths5         ,0.29    ,.          ,0.14                   ,0.24
+Deaths2         ,0.29    ,.          ,0.21                   ,0.24
+Cases3          ,0.28    ,.          ,-0.29                  ,0.19
+Deaths3         ,0.29    ,.          ,0.12                   ,0.26
+Cases4          ,0.30    ,.          ,0.42                   ,0.00
+Cases1          ,0.31    ,.          ,0.52                   ,0.00
+Hosp2           ,0.29    ,.          ,0.62                   ,0.13
+Hosp1           ,0.29    ,.          ,0.62                   ,0.13
+Deaths4         ,0.26    ,.          ,0.36                   ,0.35
+Deaths1         ,0.25    ,.          ,0.38                   ,0.37
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.84       ,3.21
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.59          ,1.86
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/ME/run-info.yaml b/reports/figures/results/ME/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/ME/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/MI/df.csv b/reports/figures/results/MI/df.csv
new file mode 100644
index 0000000..6e91332
--- /dev/null
+++ b/reports/figures/results/MI/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.5128158055976773,0.3634073726980917,0.24121575109507798,0.5599584237244611,0.2654672484635687,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.5164985464113719,0.3803726258838837,0.26698080175565064,0.5797487774035119,0.2882045226551938,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.5442278860121776,0.41195694717291564,0.3140853098488309,0.6163861953346085,0.32991360248964396,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.5718183605554502,0.543727486030792,0.5074790565029474,0.7684934652213617,0.5016757239260403,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.5646248856053742,0.5091882977709115,0.45801072577753815,0.728913711717957,0.45753254058119885,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.5477156369640557,0.4615047445615095,0.38934051286737964,0.6741816807262774,0.3963194397708606,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5135698434547736,0.29790274282423773,0.1513924478992318,0.4858425910466964,0.18461798671374297,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.5171300758101891,0.3145865683157944,0.1766996361172351,0.5052942625051304,0.20695322982780445,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.49479718817616447,0.31760152415655124,0.18203935021715836,0.5089893038522545,0.21153795689085556,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.5362309110456266,0.5150080382666136,0.47123236935754687,0.7367330749409373,0.46847120715466817,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.5303447519685384,0.4861708263123025,0.43004506868009307,0.7037115872421418,0.43169461558258193,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.5666834467387716,0.35813811098723425,0.30229118031754,0.5492378821654563,0.3024950800846678,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.5466150598789965,0.26348081332820533,0.16472225294625803,0.4403733456602396,0.18006050804033344,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.6028024819943127,0.5334046790708085,0.5595285294806578,0.751713887202236,0.5309121538395201,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.5356659106309364,0.5037698480003165,0.516898541179794,0.7177883440623802,0.4928804958152028,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.51931619165192,0.42501169612653883,0.4025311119893672,0.6272423427574838,0.3910746381769238,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.5022112191490887,0.34264638476730314,0.282891418943711,0.5325368662404134,0.2845823615976519,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.5446827837852843,0.3916923824378738,0.3551403633585808,0.5892906977694031,0.34868141327704194,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.5412102920390713,0.3750999691258045,0.33153584911565726,0.5703893343721177,0.3275666375623798,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.5541096039265982,0.4367854560000308,0.4222319129338729,0.6417070828348188,0.4080667486943187,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.5335679834954683,0.3655352092191778,0.3188036559041367,0.5598045183541419,0.3159896478283261,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.5349645199433936,0.372059458785141,0.32894098848387604,0.5675409298229999,0.3248739763924361,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.5299963307534796,0.3481536098723916,0.29463807960228183,0.5402024799170595,0.2942514018528332,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.482365481738107,0.47448959685880154,0.37229843920673455,0.5871842068767625,0.39205137392479,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.49727744282091424,0.5442920655088702,0.4760599641522677,0.6688137052930292,0.4839258886177912,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.48114651499639866,0.465687867955364,0.3630877378577788,0.5793778559306397,0.38312594061789035,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.5822481846412636,0.4675006250360351,0.3675220037173286,0.5826131611590425,0.38670440257114524,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2014,0.5841193317558205,0.477772332169187,0.38428639828579436,0.5955829588887853,0.4012478186214503,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2014,0.5902947601839181,0.508598985358134,0.43104444849867357,0.6322290186577411,0.44245900181563813,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2014,0.5601796925199718,0.48655880898173204,0.40058241320467985,0.6079276212753166,0.41502419056808504,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2014,0.5784503110846111,0.5737209150262863,0.5295620357424615,0.7094756014690816,0.5293373338909821,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2014,0.5738737358560213,0.5516472638357554,0.4990095332033484,0.6851072475431087,0.5018283691872568,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2014,0.5496600650887222,0.5775908025121566,0.5385538844590518,0.7160684322652353,0.5366390493907254,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2014,0.5554535019567234,0.6040984796362925,0.5789020210118907,0.7476662670342848,0.5721674136391157,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/MI/factors.csv b/reports/figures/results/MI/factors.csv
new file mode 100644
index 0000000..de24e22
--- /dev/null
+++ b/reports/figures/results/MI/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+1/1/2022,-11.70043190074432,-0.837934076371873,500505.989,46334.30011,86340.00592,256381.6346,132674.306,548194.0,473280.0,1535.0,1146.0,548140.0,3243.0,408383.0,371146.0,5614.0,5491.0,2825.0,2596.0,MI
+2/1/2022,-2.8106909731123153,-1.3042142841426785,501092.5461,46282.7223,86404.3197,256472.3577,132687.042,101934.0,76138.0,2242.0,1974.0,101934.0,2242.0,451269.0,438307.0,2281.0,2235.0,796.0,732.0,MI
+3/1/2022,0.2991813034393118,-3.7522923162507986,499877.5974,46066.36526,86158.5587,255644.2207,132224.924,27303.0,22201.0,1186.0,1032.0,27122.0,1157.0,262121.0,255069.0,985.0,971.0,86.0,79.0,MI
+4/1/2022,0.5485108713853855,1.3278274002841162,502395.7674,46193.90769,86554.18727,256720.3014,132748.095,37419.0,31598.0,311.0,277.0,38425.0,340.0,210766.0,186441.0,1164.0,1135.0,26.0,20.0,MI
+5/1/2022,-0.316506703234392,-1.4633975613550607,502860.3707,46133.4628,86596.32734,256748.7122,132729.7901,101885.0,85949.0,355.0,302.0,101885.0,355.0,172831.0,145524.0,1939.0,1882.0,206.0,185.0,MI
+6/1/2022,-0.04330660859986324,-4.093644664545355,501383.7522,45896.55256,86304.77201,255789.2755,132201.3246,78600.0,66093.0,561.0,441.0,78600.0,561.0,106409.0,91574.0,1438.0,1406.0,137.0,114.0,MI
+7/1/2022,-0.03722891111384996,3.2544562007308713,504140.3492,46155.31577,86943.92219,257589.1027,133099.238,65881.0,54890.0,510.0,381.0,65881.0,510.0,117164.0,99291.0,1597.0,1541.0,122.0,110.0,MI
+8/1/2022,-0.48569220777142164,0.7652281377115839,505074.8685,46247.25204,87268.55145,258457.2611,133515.8035,98047.0,81248.0,610.0,500.0,98047.0,610.0,119255.0,99085.0,1702.0,1659.0,216.0,174.0,MI
+9/1/2022,-0.6194961873871057,0.22438040088747974,505617.2173,46303.24033,87524.42531,259122.3601,133827.6656,65808.0,51457.0,586.0,470.0,65808.0,586.0,86801.0,68452.0,1211.0,1172.0,246.0,205.0,MI
+10/1/2022,-0.6371873815324207,-0.02588902485599265,506131.6129,46342.85004,87748.26209,259693.2749,134091.1121,12880.0,10118.0,143.0,120.0,0.0,0.0,69797.0,54914.0,1217.0,1177.0,269.0,214.0,MI
+11/1/2022,-0.4834588208650601,1.8640489795844974,508055.5377,46511.55567,88215.83269,260985.9592,134727.3884,0.0,0.0,0.0,0.0,0.0,,296807.0,185647.0,1097.0,1058.0,231.0,204.0,MI
+12/1/2022,-0.34464985148452953,2.1487472571446418,510204.5526,46700.87894,88722.28766,262393.8178,135423.1666,0.0,0.0,0.0,0.0,0.0,,53413.0,41704.0,1197.0,1173.0,215.0,184.0,MI
diff --git a/reports/figures/results/MI/model.csv b/reports/figures/results/MI/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/MI/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/MI/raw.csv b/reports/figures/results/MI/raw.csv
new file mode 100644
index 0000000..ac16aaf
--- /dev/null
+++ b/reports/figures/results/MI/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,418891.6905,30497.56392,73596.24625,219612.6375,104093.8102,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,418724.6202,30553.71735,73549.38086,219898.3306,104103.0982,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,419578.3683,30627.74117,73546.11847,220313.0194,104173.8596,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,421454.0436,30776.35985,73722.01449,221264.3102,104498.3743,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,423070.6892,30906.082,73852.35296,222079.5555,104758.435,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,424063.1976,31009.17385,73919.03115,222703.4289,104928.205,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,423785.0279,31019.23557,73764.60988,222659.6053,104783.8454,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,423639.5063,31038.8129,73633.95232,222684.8245,104672.7652,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,422664.0643,31060.12297,73508.46436,222723.1642,104568.5873,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,423228.4388,31194.37625,73650.67572,223571.6487,104845.052,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,423574.5032,31312.61619,73754.93325,224305.2698,105067.5494,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,425276.1765,31357.45847,73740.71888,224487.8638,105098.1773,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,426232.6506,31347.80273,73599.01209,224281.0774,104946.8148,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,429304.9108,31493.94197,73823.36201,225189.2638,105317.304,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,429856.8183,31623.54044,74008.69129,225978.8926,105632.2317,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,429791.7368,31707.75996,74087.80484,226444.2299,105795.5648,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,429081.4794,31744.13206,74055.44909,226568.242,105799.5811,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,429973.5251,31809.19516,74090.42399,226897.4913,105899.6192,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,430736.0194,31864.67671,74103.40525,227158.7693,105968.082,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,431989.0694,31956.45002,74201.00935,227679.0251,106157.4594,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,432464.7241,32006.56364,74202.12278,227902.748,106208.6864,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,432994.0159,32060.59848,74212.70077,228154.8244,106273.2992,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,433334.8027,32100.62302,74191.25426,228307.6682,106291.8773,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,431865.1779,32215.38356,74242.31832,228631.7683,106457.7019,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,430964.6791,32372.04167,74390.46754,229254.4314,106762.5092,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,429457.1058,32482.51953,74433.04272,229551.3102,106915.5623,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,431772.3359,32594.45991,74479.79729,229860.4271,107074.2572,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,434171.4034,32712.95873,74542.30187,230217.5497,107255.2606,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,436820.692,32850.4877,74648.76013,230709.9529,107499.2478,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,438325.0961,32975.23985,74726.72578,231113.8676,107701.9656,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,440541.1413,33153.5129,74926.25941,231893.5422,108079.7723,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,442590.4286,33319.23491,75097.45356,232585.4869,108416.6885,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,443704.5078,33501.74942,75306.49596,233394.6519,108808.2454,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,445047.8186,33701.6722,75554.46436,234324.6232,109256.1366,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2014,446735.7684,33927.91918,75860.98698,235436.565,109788.9062,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2015,451127.6045,34265.41583,76185.22585,237327.3232,110450.6417,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2015,452701.8337,34388.91271,76032.39018,237734.5552,110421.3029,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2015,454147.193,34502.60622,75859.39551,238075.6046,110362.0017,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2015,455988.5013,34655.55664,75773.8477,238688.7248,110429.4043,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2015,457085.8053,34751.92104,75565.89857,238913.4983,110317.8196,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2015,458381.8066,34863.33643,75392.47842,239243.6337,110255.8149,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2015,459538.642,35013.20398,75303.35328,239838.8373,110316.5573,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2015,461067.6837,35191.37939,75275.45227,240628.307,110466.8317,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,463286.41,35422.28601,75359.74305,241777.7062,110782.0291,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2015,464036.7695,35606.23519,75343.47141,242605.8995,110949.7066,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2015,464436.52,35763.22292,75270.33718,243250.5863,111033.5601,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,465497.5642,35971.15822,75304.34951,244241.7169,111275.5077,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,465695.797,36091.26446,75409.89875,244993.6031,111501.1551,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,466421.8051,36252.28428,75600.91823,246023.2108,111853.1864,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,465780.868,36306.88242,75570.24961,246330.7032,111877.1079,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2016,467223.7366,36325.15595,75464.78141,246392.0968,111789.9053,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2016,469504.5058,36409.02155,75496.2636,246898.6971,111905.2451,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,471579.2657,36477.22582,75495.75234,247299.3041,111972.9302,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,471483.7168,36599.52375,75607.52461,248066.7847,112206.9924,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,470877.9006,36681.96422,75637.22766,248564.2337,112319.128,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,470161.4461,36755.36799,75648.74946,249000.6456,112404.0457,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,470600.6846,36810.94485,75624.12918,249316.5277,112434.9945,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,471896.2535,36933.45003,75737.36478,250085.8645,112670.7274,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,472510.4507,37002.58053,75741.45138,250493.92,112743.9367,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,470839.1204,37004.43357,75796.30262,250276.2045,112800.6492,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2017,470197.8782,37086.54605,76015.28212,250602.5228,113101.7492,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2017,470537.664,37245.90568,76392.54303,251451.0435,113638.3776,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2017,470704.248,37302.85721,76559.67872,251608.5704,113862.4729,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2017,472037.1001,37452.15077,76916.23941,252389.3792,114368.335,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2017,472784.6714,37554.97803,77177.33781,252857.2036,114732.2686,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2017,473464.7871,37683.93769,77492.07939,253501.2487,115175.9777,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2017,473143.4685,37732.99527,77642.38294,253608.375,115375.3468,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2017,472170.9816,37729.6673,77684.59306,253364.7679,115414.2369,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2017,473392.3437,37811.61703,77902.13287,253694.9747,115713.7343,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2017,474521.2575,37886.23138,78104.40752,253976.6518,115990.6311,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2017,475744.2513,37968.40531,78322.11628,254309.6841,116290.5216,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2018,478325.1678,37985.94164,78314.81343,254248.5625,116300.7628,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2018,481419.4967,38045.3736,78394.14634,254468.9276,116439.5354,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2018,484997.7268,38143.7598,78553.91224,254950.5228,116697.6952,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2018,485098.4986,38220.97517,78670.22262,255291.2052,116891.2287,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2018,485225.7848,38300.01325,78790.44855,255644.7352,117090.5003,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2018,485715.5387,38407.4522,78969.22921,256188.3638,117376.7276,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2018,485453.2653,38523.17134,79165.12171,256787.581,117688.3468,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2018,485258.5513,38644.01885,79371.62449,257421.2764,118015.7048,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2018,484390.5534,38710.84625,79467.29754,257695.6308,118178.2128,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2018,483165.9995,38795.18441,79599.07826,258087.2137,118394.3392,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2018,482569.2322,38929.54265,79833.57652,258811.9175,118763.2033,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2018,482074.6667,39072.03347,80084.77764,259590.7919,119156.9029,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2019,482917.2822,39128.52406,80231.15734,260269.04,119359.7655,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+3/1/2019,482415.7781,39064.42166,80160.56303,260445.1404,119225.0532,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2019,482434.3232,38995.59726,80049.58402,260285.8141,119045.242,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2019,483598.9841,39019.67879,80129.20702,260745.4835,119148.9389,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2019,484748.8061,39042.66157,80206.53113,261197.3894,119249.2382,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2019,486433.2903,39037.22425,80225.40587,261458.5188,119262.668,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2019,488649.1967,39074.68613,80332.38901,262006.4408,119407.1054,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2019,490698.7759,39098.99099,80412.29232,262465.837,119511.306,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2019,492826.7055,39107.81154,80490.0847,263115.7233,119597.9038,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2019,493280.3244,39064.17064,80429.94148,263115.9695,119494.1121,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2020,491115.5778,39178.54954,80305.66472,261710.9307,119484.2143,0.0,0.0,0.0,0.0,0.0,0.0,252.0,185.0,29.0,28.0,0.0,0.0
+2/1/2020,489319.9184,39321.50896,80241.04919,260503.3312,119562.5581,0.0,0.0,0.0,0.0,0.0,0.0,288.0,154.0,63.0,53.0,0.0,0.0
+3/1/2020,489164.8018,39596.61265,80445.70671,260168.8488,120042.3194,19903.0,19421.0,558.0,514.0,7951.0,292.0,27275.0,25587.0,10427.0,10399.0,2561.0,2548.0
+4/1/2020,472994.3969,39996.28074,80900.75625,260636.6284,120897.037,34532.0,32213.0,3944.0,3736.0,35527.0,3699.0,33141.0,31257.0,7828.0,7754.0,3664.0,3538.0
+5/1/2020,453741.7802,40142.85973,80842.37251,259446.0277,120985.2322,43686.0,38520.0,1430.0,1381.0,19233.0,1740.0,19087.0,18410.0,1852.0,1834.0,344.0,334.0
+6/1/2020,433442.7429,40188.35895,80582.05262,257611.9679,120770.4116,27082.0,23586.0,377.0,371.0,8017.0,462.0,13573.0,13143.0,784.0,778.0,44.0,44.0
+7/1/2020,452067.6978,40257.80575,80372.02595,255945.1752,120629.8317,41363.0,37475.0,236.0,227.0,19846.0,257.0,28012.0,26737.0,1471.0,1464.0,0.0,0.0
+8/1/2020,470528.7329,40322.14054,80153.87469,254258.4664,120476.0152,39178.0,35519.0,290.0,287.0,22451.0,303.0,28962.0,27642.0,1436.0,1432.0,106.0,106.0
+9/1/2020,489477.8386,40435.65714,80035.16615,252892.0242,120470.8233,36796.0,33019.0,290.0,279.0,24989.0,330.0,37712.0,36798.0,1733.0,1726.0,84.0,84.0
+10/1/2020,491160.5522,40609.41531,80036.424,251906.7516,120645.8393,66505.0,60905.0,672.0,635.0,59392.0,616.0,87812.0,87697.0,4413.0,4409.0,680.0,658.0
+11/1/2020,492917.2413,40789.27337,80049.86597,250960.2968,120839.1393,173167.0,163156.0,2377.0,2275.0,191536.0,1865.0,200689.0,200442.0,9116.0,9102.0,3334.0,3323.0
+12/1/2020,492617.9224,40798.84084,79730.62862,248975.3009,120529.4695,107516.0,97938.0,3642.0,3333.0,139679.0,3454.0,188965.0,188576.0,7742.0,7730.0,2969.0,2911.0
+1/1/2021,491684.2093,41332.72785,80389.35719,249878.8745,121722.085,63934.0,55097.0,2008.0,1840.0,81517.0,2507.0,161783.0,156040.0,5167.0,5057.0,1257.0,1193.0
+2/1/2021,490996.5976,41882.90649,81082.4975,250897.6254,122965.404,34918.0,28652.0,820.0,777.0,35412.0,983.0,66722.0,62439.0,2507.0,2456.0,271.0,259.0
+3/1/2021,489049.2995,42320.01109,81560.16791,251260.0324,123880.179,110358.0,93881.0,661.0,609.0,100801.0,611.0,168397.0,158635.0,5490.0,5398.0,486.0,459.0
+4/1/2021,492190.7188,42776.30911,82078.90544,251761.352,124855.2146,157899.0,138908.0,1862.0,1743.0,190116.0,1634.0,248877.0,237239.0,7948.0,7786.0,1954.0,1876.0
+5/1/2021,495406.8287,43237.20377,82610.15163,252312.306,125847.3554,39926.0,33951.0,1440.0,1377.0,55474.0,1623.0,105560.0,101109.0,3783.0,3721.0,696.0,676.0
+6/1/2021,498340.089,43671.50825,83094.28537,252730.6899,126765.7936,6259.0,5211.0,438.0,403.0,8078.0,623.0,61389.0,60774.0,1117.0,1106.0,24.0,24.0
+7/1/2021,497752.4874,44143.23711,83653.0702,253386.7306,127796.3073,13080.0,11019.0,160.0,149.0,11087.0,189.0,65794.0,64095.0,1217.0,1204.0,0.0,0.0
+8/1/2021,497469.0839,44637.50816,84257.41129,254189.5389,128894.9194,46562.0,40150.0,231.0,208.0,49237.0,359.0,84137.0,78444.0,3162.0,3075.0,182.0,178.0
+9/1/2021,497588.0077,45164.22248,84925.30477,255191.254,130089.5273,91984.0,77824.0,392.0,328.0,89721.0,808.0,123861.0,114184.0,3471.0,3401.0,441.0,416.0
+10/1/2021,498285.1403,45568.27178,85365.38445,255517.2698,130933.6562,120455.0,101990.0,694.0,570.0,125039.0,1307.0,169656.0,156590.0,4791.0,4691.0,1127.0,1064.0
+11/1/2021,498763.2826,45948.2868,85764.1709,255731.3593,131712.4577,209153.0,180423.0,1057.0,860.0,199950.0,1737.0,220260.0,201217.0,7139.0,6958.0,2935.0,2730.0
+12/1/2021,499571.6966,46354.87753,86216.1207,256115.1454,132570.9982,226015.0,198475.0,1649.0,1295.0,235272.0,3621.0,261195.0,243230.0,6832.0,6710.0,3492.0,3270.0
+1/1/2022,500505.989,46334.30011,86340.00592,256381.6346,132674.306,548194.0,473280.0,1535.0,1146.0,548140.0,3243.0,408383.0,371146.0,5614.0,5491.0,2825.0,2596.0
+2/1/2022,501092.5461,46282.7223,86404.3197,256472.3577,132687.042,101934.0,76138.0,2242.0,1974.0,101934.0,2242.0,451269.0,438307.0,2281.0,2235.0,796.0,732.0
+3/1/2022,499877.5974,46066.36526,86158.5587,255644.2207,132224.924,27303.0,22201.0,1186.0,1032.0,27122.0,1157.0,262121.0,255069.0,985.0,971.0,86.0,79.0
+4/1/2022,502395.7674,46193.90769,86554.18727,256720.3014,132748.095,37419.0,31598.0,311.0,277.0,38425.0,340.0,210766.0,186441.0,1164.0,1135.0,26.0,20.0
+5/1/2022,502860.3707,46133.4628,86596.32734,256748.7122,132729.7901,101885.0,85949.0,355.0,302.0,101885.0,355.0,172831.0,145524.0,1939.0,1882.0,206.0,185.0
+6/1/2022,501383.7522,45896.55256,86304.77201,255789.2755,132201.3246,78600.0,66093.0,561.0,441.0,78600.0,561.0,106409.0,91574.0,1438.0,1406.0,137.0,114.0
+7/1/2022,504140.3492,46155.31577,86943.92219,257589.1027,133099.238,65881.0,54890.0,510.0,381.0,65881.0,510.0,117164.0,99291.0,1597.0,1541.0,122.0,110.0
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+12/1/2022,510204.5526,46700.87894,88722.28766,262393.8178,135423.1666,0.0,0.0,0.0,0.0,0.0,,53413.0,41704.0,1197.0,1173.0,215.0,184.0
diff --git a/reports/figures/results/MI/results.csv b/reports/figures/results/MI/results.csv
new file mode 100644
index 0000000..fbbc6f9
--- /dev/null
+++ b/reports/figures/results/MI/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-1148.436
+                ,+ 2 factors in 2 blocks,  AIC                ,2406.872
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2565.008
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2471.129
+Time:           ,18:48:37               ,  EM Iterations      ,250
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.02      ,0.47                   ,0.77
+Cons3           ,.       ,0.49       ,0.94                   ,0.03
+Cons4           ,.       ,0.53       ,0.94                   ,0.01
+Cons5           ,.       ,0.40       ,0.90                   ,0.13
+Cons2           ,.       ,0.55       ,0.95                   ,0.00
+Cases5          ,-0.28   ,.          ,0.29                   ,0.49
+Cases2          ,-0.28   ,.          ,0.27                   ,0.48
+Deaths5         ,-0.29   ,.          ,0.35                   ,0.27
+Deaths2         ,-0.28   ,.          ,0.37                   ,0.28
+Cases3          ,-0.28   ,.          ,0.32                   ,0.45
+Deaths3         ,-0.30   ,.          ,0.20                   ,0.25
+Cases4          ,-0.27   ,.          ,0.59                   ,0.44
+Cases1          ,-0.28   ,.          ,0.61                   ,0.41
+Hosp2           ,-0.30   ,.          ,0.41                   ,0.12
+Hosp1           ,-0.30   ,.          ,0.41                   ,0.12
+Deaths4         ,-0.30   ,.          ,1.00                   ,0.00
+Deaths1         ,-0.30   ,.          ,0.97                   ,0.00
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.71       ,5.95
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.57          ,2.15
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/MI/run-info.yaml b/reports/figures/results/MI/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/MI/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/MN/df.csv b/reports/figures/results/MN/df.csv
new file mode 100644
index 0000000..08a7c61
--- /dev/null
+++ b/reports/figures/results/MN/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.6530343363770293,0.3435259515518511,0.28567642838885793,0.5999385878389446,0.23729721068096354,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.6585305216983678,0.36474023602738864,0.309120129005488,0.6167105707298939,0.26617188964664623,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.6035916106529987,0.40373388068918326,0.35208057957691075,0.6476028702387966,0.3191355752110573,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.6489750527732804,0.5646028819730763,0.5288319299315908,0.7752851932871692,0.5372313538895213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.6373056542952986,0.5231441750973286,0.48347183777413716,0.7422858831745376,0.4811858029432573,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.6479207595482467,0.4656896265253495,0.420550969386021,0.6965838681687978,0.40346621226001167,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5918270835363652,0.26721052974943643,0.20281590220703233,0.5388852291621131,0.13466705118945796,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.5975787034849256,0.28805152633286407,0.22584412649235097,0.5553640052847705,0.1630310224235007,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.55265260185752,0.2922588638061504,0.23061145189303567,0.5586334282012383,0.16885670605625794,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.6206014548344653,0.5329466512437377,0.49498027098710695,0.7497083429037351,0.49509656898609955,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.6109374641220673,0.4983948240634429,0.45719690108390837,0.7221975224987922,0.4484046059918252,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6488377105708432,0.43006866239327424,0.2057409962140742,0.6401706428573924,0.21353892980070205,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.6160947186010278,0.31492752684025954,0.08013228596567362,0.5488130574190109,0.05834076776584257,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.7084217688329159,0.6433141541980405,0.44141206718103265,0.8096897375940726,0.5040865228526572,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.6523887015139334,0.607275246229386,0.40262925296958807,0.7811508705109977,0.45605446150399476,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.6254538485073371,0.5114756662338431,0.29823747949326795,0.7051513179282037,0.3270448637215934,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.5972808773063767,0.4112877187329754,0.18902320650026355,0.6256658935948077,0.19208353171701695,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.69181604026423,0.47096689993132007,0.2553019093322322,0.6731408812633399,0.2737254138028542,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.6854908269770084,0.4507941114605313,0.233916125095551,0.657199355071255,0.2471676097280851,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.7060279263379232,0.5258494746433974,0.31706436011246814,0.7168840866920603,0.3496317475060074,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.6090771834850215,0.43918292190762376,0.22267353391470385,0.648133977368732,0.232968204205779,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.6113745333850561,0.44713215758814595,0.23214453833238585,0.6545238478838488,0.24449696709696983,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.6032325657871307,0.4180618203671968,0.20097158005733123,0.63151324646042,0.20586124955364082,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.556521776288071,0.4192643572441865,0.22642103942118275,0.6717954489984742,0.22686848532679088,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.581021738685939,0.5055011084400982,0.3217706806007821,0.7400989415570294,0.34438136327465907,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.5546060529941021,0.41117793522204094,0.21890187537066996,0.665009623037154,0.2172431262402566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.6889625710594707,0.4146682857299119,0.22340589357009627,0.6676023192175429,0.22263070965850154,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2014,0.6920487863838245,0.4284326379679905,0.2391841253672899,0.6783561148344631,0.24193413969399985,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2014,0.7021944010219382,0.4671866083951056,0.28239096936142194,0.7089575815842979,0.29509199437098516,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/MN/factors.csv b/reports/figures/results/MN/factors.csv
new file mode 100644
index 0000000..42ef487
--- /dev/null
+++ b/reports/figures/results/MN/factors.csv
@@ -0,0 +1,132 @@
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+7/1/2016,-1.1718619866751547,0.003665374067447269,329493.3697,25997.46845,41576.47112,153476.6227,67573.93956,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2016,-1.1718619866751543,0.7965667342074167,330907.1225,26054.60491,41532.69333,153732.9539,67587.29824,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2016,-1.1718619866751547,0.9761792601343708,332237.1957,26105.32734,41479.12582,153951.7001,67584.45316,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+11/1/2016,-1.1718619866751543,0.013064855305329859,332491.621,26228.99694,41408.46101,154520.9522,67637.45795,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2016,-1.1718619866751532,1.062820291222767,332442.5569,26276.69806,41351.40025,154722.6639,67628.09831,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2017,-1.1718619866751536,0.814923219336896,332411.2654,26323.81635,41318.59853,154710.7035,67642.41487,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2017,-1.1718619866751538,-0.748240864620012,333101.1967,26427.78883,41375.59597,155034.4006,67803.3848,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2017,-1.1718619866751538,-2.2422032088824073,334484.9875,26586.76264,41518.80829,155681.0363,68105.57093,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2017,-1.1718619866751527,-0.23675716736582975,333517.7725,26672.56141,41547.92076,155899.657,68220.48217,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2017,-1.1718619866751538,-2.017346328903107,333378.9911,26824.3011,41679.94936,156504.2394,68504.25046,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2017,-1.171861986675154,-1.1042073397009255,332827.5764,26942.73024,41760.28918,156914.6624,68703.01942,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2017,-1.1718619866751554,-1.5956179380693096,332636.729,27079.8533,41869.72878,157434.2967,68949.58208,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2017,-1.1718619866751547,-0.0494604137754886,331744.0673,27159.44187,41890.47974,157620.1697,69049.92161,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2017,-1.1718619866751545,0.9616977388556307,330398.9069,27201.05455,41853.27868,157587.3313,69054.33323,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2017,-1.1718619866751545,-0.6692020893645583,331746.0556,27303.91881,41910.85002,157910.775,69214.76883,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2017,-1.1718619866751547,-0.5207593332360836,333026.882,27401.34956,41960.39473,158203.643,69361.74429,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2017,-1.1718619866751532,-0.6575321300301222,334372.2191,27504.11292,42018.41466,158528.1361,69522.52758,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2018,-1.171861986675155,0.6857262057996163,335830.9271,27532.39042,42022.49554,158584.3455,69554.8782,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2018,-1.1718619866751547,-0.10885851587348727,337652.2184,27590.94077,42073.01587,158815.5633,69663.94115,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2018,-1.1718619866751545,-0.843759338713566,339814.2461,27677.68169,42166.67285,159209.4556,69844.33135,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2018,-1.1718619866751552,-0.4343185730784811,340651.6773,27749.00915,42236.97695,159515.0387,69985.95523,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2018,-1.171861986675154,-0.4625526593571707,341504.78,27821.60121,42309.35304,159828.293,70130.91574,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2018,-1.1718619866751538,-0.9920715008413973,342610.6705,27914.77792,42413.14844,160260.1161,70327.8802,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2018,-1.1718619866751534,-1.1388735396395502,343593.9013,28013.94154,42526.11829,160726.5235,70540.00603,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2018,-1.1718619866751558,-1.225312539792173,344622.9563,28116.80891,42644.7746,161214.3555,70761.52206,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2018,-1.1718619866751547,-0.20513690414186514,345170.4096,28180.32794,42703.86158,161476.8756,70884.12055,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2018,-1.171861986675155,-0.5272190648414683,345115.5852,28256.53667,42782.32223,161812.5023,71038.78239,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2018,-1.1718619866751532,-1.4523061822910759,345507.4379,28369.14627,42915.97457,162356.7941,71285.03672,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2018,-1.171861986675154,-1.5915798269607293,345971.961,28487.67329,43058.60117,162935.013,71546.18271,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2019,-1.1718619866751534,-0.023760251343410088,345641.3127,28554.89385,43098.47491,163272.3648,71653.28464,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2019,-1.1718619866751543,1.1952598545051707,344731.6133,28574.14228,43066.03082,163335.4864,71640.09675,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2019,-1.1718619866751532,2.0443497866616056,343422.6035,28559.88962,42983.35663,163207.3088,71543.17773,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2019,-1.1718619866751534,2.305790498638025,343834.7908,28535.31305,42885.49827,163020.4044,71420.75059,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2019,-1.1718619866751543,0.5829817513165556,345062.324,28578.62414,42889.89677,163221.5127,71468.46781,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2019,-1.1718619866751543,0.6055684041004695,346278.7101,28621.09428,42893.11866,163417.8833,71514.16746,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2019,-1.1718619866751538,1.1347473658608387,347868.3973,28642.67505,42865.16522,163495.0815,71507.80242,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2019,-1.171861986675154,0.34079130172413974,349837.4375,28695.68639,42884.35695,163751.7706,71580.01308,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2019,-1.1718619866751543,0.5869461823839492,351687.0072,28739.00932,42889.13136,163953.2198,71628.118,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2019,-1.171861986675154,1.5150140001057526,352250.437,28745.52101,42839.12772,163944.7851,71584.63364,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2019,-1.1718619866751545,0.40113033879951454,353354.6063,28796.25355,42855.16751,164188.6638,71651.41352,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2019,-1.1718619866751532,1.8508158889400264,353750.4515,28789.37292,42785.6343,164104.1757,71575.00722,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2020,-1.171861986675154,0.9861317303098502,351659.6661,28863.18773,42721.44055,162777.9856,71584.62828,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,MN
+2/1/2020,-1.171828268928335,0.45345958435127054,349834.7889,28958.08949,42688.97992,161575.9581,71647.06942,0.0,0.0,0.0,0.0,0.0,0.0,32.0,32.0,8.0,8.0,0.0,0.0,MN
+3/1/2020,-1.1074042433183546,-1.9701191462125598,349182.2168,29150.29687,42799.77712,160914.9868,71950.07399,689.0,689.0,17.0,17.0,629.0,12.0,2496.0,2486.0,644.0,644.0,56.0,56.0,MN
+4/1/2020,-0.7413689057190762,-4.205125062980562,341846.7181,29434.12829,43043.80562,160746.785,72477.93391,4447.0,4447.0,326.0,326.0,4507.0,331.0,16598.0,16580.0,2500.0,2494.0,966.0,966.0,MN
+5/1/2020,0.6906451089990373,0.4089479464891266,332302.1878,29531.66203,43014.66657,159553.8333,72546.3286,20072.0,20072.0,717.0,707.0,19714.0,707.0,36446.0,36424.0,3922.0,3920.0,986.0,986.0,MN
+6/1/2020,-0.11399691300052694,2.226508821542537,321970.3646,29554.88234,42878.07235,157967.2855,72432.95469,11508.0,11508.0,422.0,395.0,11453.0,426.0,23430.0,23430.0,1686.0,1686.0,25.0,25.0,MN
+7/1/2020,0.5309734525443854,1.783343138563086,329122.4911,29595.78021,42768.22692,156486.2957,72364.00713,18472.0,18472.0,164.0,161.0,18160.0,164.0,40386.0,40382.0,2338.0,2338.0,0.0,0.0,MN
+8/1/2020,0.7634876767531077,1.8651201357467344,336193.5237,29632.98059,42654.04673,154995.8861,72287.02731,20676.0,20676.0,220.0,211.0,21401.0,226.0,41780.0,41772.0,2582.0,2580.0,138.0,138.0,MN
+9/1/2020,0.9928922731816461,0.9733793780953364,343642.9448,29706.37381,42592.77593,153702.9513,72299.14974,23270.0,23270.0,223.0,219.0,23270.0,223.0,52572.0,51884.0,2891.0,2889.0,266.0,256.0,MN
+10/1/2020,3.4184132741725373,-0.10750107732876923,345657.2143,29824.04521,42595.3443,152642.6656,72419.38951,49338.0,48697.0,422.0,402.0,49338.0,422.0,124325.0,121061.0,6547.0,6501.0,861.0,809.0,MN
+11/1/2020,14.618970938229396,-0.21375782431935275,347723.1506,29946.20117,42604.39615,151606.1215,72550.59732,170291.0,164262.0,1141.0,1083.0,170291.0,1141.0,366503.0,350488.0,14735.0,14441.0,3132.0,2906.0,MN
+12/1/2020,7.712050864855097,2.8060658742921647,348334.9978,29943.3794,42436.37985,149944.2711,72379.75925,96539.0,88865.0,1730.0,1630.0,96539.0,1730.0,157830.0,145014.0,8282.0,7774.0,1556.0,1396.0,MN
+1/1/2021,3.1022550459496916,-4.618314473102906,349315.0535,30234.84896,42718.2834,150710.3426,72953.13236,46505.0,40820.0,886.0,801.0,46505.0,886.0,76766.0,66562.0,4009.0,3735.0,243.0,227.0,MN
+2/1/2021,0.9265461351287823,-4.880533535757382,350458.1522,30538.94707,43018.9623,151544.294,73557.90937,22787.0,19225.0,283.0,260.0,22787.0,283.0,44225.0,37332.0,2375.0,2217.0,0.0,0.0,MN
+3/1/2021,1.9998847544067293,-2.919871087896867,350687.0424,30761.49324,43205.94111,151979.79,73967.43435,34044.0,27932.0,237.0,123.0,34935.0,375.0,82169.0,68447.0,3986.0,3648.0,22.0,22.0,MN
+4/1/2021,4.025888653492563,-3.2612264818074115,352789.9356,30999.05461,43415.41344,152496.8925,74414.46804,56283.0,47210.0,311.0,278.0,56283.0,311.0,109725.0,91789.0,5864.0,5370.0,24.0,24.0,MN
+5/1/2021,1.1869537081097306,-3.3454183978030607,354947.9035,31240.90961,43632.17325,153041.8528,74873.08285,25638.0,21035.0,282.0,265.0,25572.0,282.0,39451.0,32889.0,2804.0,2640.0,0.0,0.0,MN
+6/1/2021,-0.8047664581238809,-2.908233085768065,356904.7619,31464.51523,43824.72414,153504.1747,75289.23938,3915.0,3263.0,168.0,158.0,3981.0,168.0,8004.0,6722.0,1006.0,964.0,0.0,0.0,MN
+7/1/2021,-0.4773039697053704,-3.533402980788915,356240.6095,31715.98296,44057.27846,154108.7502,75773.26143,7543.0,6194.0,76.0,73.0,7336.0,74.0,22234.0,18757.0,1760.0,1645.0,0.0,0.0,MN
+8/1/2021,2.26126665013728,-3.895757556452589,355796.234,31984.38734,44314.34853,154800.8485,76298.73587,37056.0,32739.0,136.0,130.0,37263.0,143.0,83623.0,73762.0,4625.0,4425.0,32.0,32.0,MN
+9/1/2021,4.469581956692372,-4.403476978708225,355641.3088,32276.64201,44605.27104,155612.6507,76881.91305,61130.0,51189.0,296.0,250.0,61130.0,352.0,138105.0,116361.0,6064.0,5632.0,209.0,195.0,MN
+10/1/2021,5.882209073236569,-2.4310398049795134,356688.4862,32481.9755,44777.06654,156010.6487,77259.04204,76456.0,64352.0,537.0,478.0,76456.0,537.0,156649.0,130449.0,6848.0,6426.0,469.0,419.0,MN
+11/1/2021,9.83842665838088,-2.0661978684564097,357572.4478,32671.15059,44927.89763,156337.9653,77599.04822,116866.0,93663.0,713.0,661.0,124820.0,713.0,246831.0,196352.0,10390.0,9565.0,1044.0,943.0,MN
+12/1/2021,9.03851218505931,-2.500345211905098,358686.9851,32880.15079,45107.24413,156766.7724,77987.39492,109842.0,86499.0,1150.0,1045.0,109842.0,1150.0,268807.0,212654.0,9325.0,8702.0,540.0,494.0,MN
+1/1/2022,26.38915678235739,-0.30091358252145994,358706.4148,32867.43841,45272.38586,156996.0617,78139.82428,299541.0,240471.0,905.0,1539.0,299541.0,905.0,608613.0,489238.0,12833.0,12363.0,800.0,697.0,MN
+2/1/2022,7.280109762214207,0.20554265605602118,358483.8601,32832.71481,45405.17677,157116.9848,78237.89157,91823.0,74930.0,728.0,698.0,91823.0,728.0,92503.0,77119.0,4088.0,3990.0,37.0,29.0,MN
+3/1/2022,0.31744129883166927,2.8134122023654697,356982.3031,32681.06923,45373.51324,156674.0094,78054.58247,15974.0,13353.0,349.0,299.0,15974.0,349.0,25862.0,21677.0,1631.0,1611.0,0.0,0.0,MN
+4/1/2022,0.9531471573952233,-2.5632194676252587,359419.9715,32773.37677,45678.50963,157397.3166,78451.8864,22997.0,19111.0,140.0,100.0,22997.0,140.0,56012.0,46775.0,2102.0,2052.0,0.0,0.0,MN
+5/1/2022,3.861499559637124,0.40845776811608214,360383.4015,32732.29763,45796.18425,157477.78,78528.48188,54621.0,45245.0,165.0,125.0,54621.0,165.0,115062.0,94381.0,4322.0,4155.0,34.0,28.0,MN
+6/1/2022,3.034064831977589,3.20875493354945,359945.6733,32565.98549,45735.87991,156951.3489,78301.86541,45672.0,37328.0,184.0,173.0,45672.0,184.0,85563.0,69933.0,3873.0,3759.0,11.0,8.0,MN
+7/1/2022,2.3097030593697516,-4.573788116727272,363169.1208,32751.36349,46167.95114,158117.438,78919.31462,37724.0,30444.0,166.0,147.0,37724.0,166.0,83071.0,66893.0,4237.0,4122.0,0.0,0.0,MN
+8/1/2022,2.5347646949752436,-1.9227486883768181,365077.832,32818.35963,46432.84732,158711.5285,79251.20695,40255.0,32712.0,136.0,125.0,40255.0,136.0,73590.0,60023.0,3903.0,3810.0,26.0,16.0,MN
+9/1/2022,1.9428139068359824,-1.338609789655672,366695.5555,32859.83537,46660.59893,159180.554,79520.4343,33978.0,27981.0,222.0,207.0,33978.0,222.0,26597.0,22073.0,1944.0,1887.0,19.0,15.0,MN
+10/1/2022,-0.7905311901487764,-1.0628162603813212,366365.2777,32889.67526,46870.61511,159591.2873,79760.29037,5968.0,5025.0,44.0,40.0,0.0,0.0,23194.0,19166.0,2043.0,1970.0,33.0,20.0,MN
+11/1/2022,-1.2091971778076225,-3.0570636117941308,367058.616,33011.12679,47210.39355,160445.292,80221.52034,0.0,0.0,0.0,0.0,0.0,,23433.0,20035.0,2230.0,2173.0,85.0,53.0,MN
+12/1/2022,-1.1622831146863413,-3.348836367079479,367915.6151,33147.20894,47570.84826,161370.0134,80718.05719,0.0,0.0,0.0,0.0,0.0,,24060.0,20362.0,2422.0,2372.0,70.0,37.0,MN
diff --git a/reports/figures/results/MN/model.csv b/reports/figures/results/MN/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/MN/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/MN/raw.csv b/reports/figures/results/MN/raw.csv
new file mode 100644
index 0000000..043f0d4
--- /dev/null
+++ b/reports/figures/results/MN/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,294888.4089,22717.46446,43092.70514,135937.3315,65810.18635,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+4/1/2012,296195.7022,22749.68458,43109.43331,136209.1536,65859.15126,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+6/1/2012,297893.9661,22892.0605,43334.97152,137140.3855,66227.08216,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2013,300168.1765,23035.43612,43348.25755,138198.3291,66383.78462,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+7/1/2020,329122.4911,29595.78021,42768.22692,156486.2957,72364.00713,18472.0,18472.0,164.0,161.0,18160.0,164.0,40386.0,40382.0,2338.0,2338.0,0.0,0.0
+8/1/2020,336193.5237,29632.98059,42654.04673,154995.8861,72287.02731,20676.0,20676.0,220.0,211.0,21401.0,226.0,41780.0,41772.0,2582.0,2580.0,138.0,138.0
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+7/1/2021,356240.6095,31715.98296,44057.27846,154108.7502,75773.26143,7543.0,6194.0,76.0,73.0,7336.0,74.0,22234.0,18757.0,1760.0,1645.0,0.0,0.0
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diff --git a/reports/figures/results/MN/results.csv b/reports/figures/results/MN/results.csv
new file mode 100644
index 0000000..ed8c265
--- /dev/null
+++ b/reports/figures/results/MN/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-523.535
+                ,+ 2 factors in 2 blocks,  AIC                ,1157.070
+                ,+ AR(1) idiosyncratic  ,  BIC                ,1315.206
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,1221.328
+Time:           ,18:48:39               ,  EM Iterations      ,370
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.07      ,0.53                   ,0.71
+Cons3           ,.       ,-0.48      ,0.93                   ,0.05
+Cons4           ,.       ,-0.52      ,0.96                   ,0.02
+Cons5           ,.       ,-0.40      ,0.94                   ,0.08
+Cons2           ,.       ,-0.56      ,0.97                   ,0.00
+Cases5          ,0.30    ,.          ,0.17                   ,0.00
+Cases2          ,0.30    ,.          ,0.66                   ,0.00
+Deaths5         ,0.28    ,.          ,0.14                   ,0.40
+Deaths2         ,0.29    ,.          ,0.26                   ,0.24
+Cases3          ,0.30    ,.          ,-0.22                  ,0.00
+Deaths3         ,0.28    ,.          ,0.13                   ,0.40
+Cases4          ,0.29    ,.          ,0.11                   ,0.02
+Cases1          ,0.30    ,.          ,0.27                   ,0.03
+Hosp2           ,0.30    ,.          ,0.43                   ,0.14
+Hosp1           ,0.30    ,.          ,0.45                   ,0.14
+Deaths4         ,0.25    ,.          ,0.57                   ,0.41
+Deaths1         ,0.25    ,.          ,0.56                   ,0.43
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.67       ,6.34
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.53          ,2.16
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/MN/run-info.yaml b/reports/figures/results/MN/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/MN/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/NJ/df.csv b/reports/figures/results/NJ/df.csv
new file mode 100644
index 0000000..21197eb
--- /dev/null
+++ b/reports/figures/results/NJ/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.6307725525817746,0.23334243707787863,0.27506782853157624,0.5174705981616783,0.25807571543113444,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.6349484777643203,0.24821147742570066,0.29814989141680903,0.5375867380606666,0.27765403929953314,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.5792144507104009,0.27543458825565753,0.34043739455424976,0.5747036346031699,0.3135147510104363,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.6137327950185585,0.3873478860014732,0.5143818371682621,0.7283516107034138,0.4609957236765347,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.6049118976747099,0.3586633318311196,0.4697572964449369,0.6885474521167,0.423171438454645,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.6453366239846658,0.31886259363658076,0.4078520251147279,0.6334503587607025,0.3706963503061335,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.6025756309145107,0.18106350397725035,0.19360165117596098,0.44351554339789173,0.18906146688624803,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.6067960447096309,0.19566868756455072,0.21627451485155838,0.46328232262739516,0.20829255651085693,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.5052761185540041,0.1987144761945177,0.22097764610325715,0.467146235951063,0.21228861652016123,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.5568167258763045,0.36608919641009247,0.4811417129265956,0.6971193213672644,0.43286714012153815,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.5493998073655704,0.3421998923340146,0.4439726789295628,0.6639265170618289,0.40136354016524534,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6966030753914949,0.30829385961394,0.2637088251409607,0.4822123168210638,0.28268094724793996,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.6707055249778047,0.22839189062386572,0.1399951818996815,0.3725729534473815,0.17769705846514688,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.7398383843584446,0.4566951808272597,0.4954047565063643,0.6870036282397514,0.47891926956362385,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.5683842257369791,0.4317590989179134,0.4571327879939564,0.6529895897412296,0.44637462885855217,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.5479713325324639,0.36529450265525515,0.35429859434439076,0.5618325728422565,0.3590938604059277,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.5266172847915156,0.29577946391003573,0.24671908658968747,0.4664761773580149,0.2677903934395648,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.5837028597070394,0.33735468759443565,0.31183387017137004,0.5239712575080226,0.3228994937754436,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.5795080355377621,0.3234400216450067,0.290682634785565,0.505113424579078,0.30487174920673105,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.5957103032996403,0.3756982044781782,0.37239849735223846,0.5773033776781836,0.37405629347771885,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2013,0.6075774545057965,0.3155753493540383,0.2794071787338888,0.4948616004752542,0.2951226721163104,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2013,0.6092604870132301,0.32119978220105605,0.28862148088983064,0.5028821581838657,0.3028404733068619,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2013,0.6030140730772905,0.3010985224383137,0.25784034057460553,0.4755036201477318,0.2766501818052434,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2014,0.5296712426806578,0.2394545443437611,0.3751307312968725,0.5542898102809282,0.3183334404011336,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2014,0.5482339049290791,0.2997383587128483,0.4684213606679743,0.6367627333645871,0.3975670813230098,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2014,0.5281193403775722,0.23454903531441473,0.36665812980201606,0.5465953175974427,0.31143096517972135,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2014,0.6018767273739292,0.23732752161324341,0.37055832356373497,0.5499509539785364,0.3148762686262928,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/NJ/factors.csv b/reports/figures/results/NJ/factors.csv
new file mode 100644
index 0000000..11ab536
--- /dev/null
+++ b/reports/figures/results/NJ/factors.csv
@@ -0,0 +1,132 @@
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+5/1/2021,-0.1869868661682288,-4.729354588108542,588154.0512,43609.07167,89991.63901,283185.7968,133600.7107,19109.0,14772.0,658.0,613.0,19109.0,658.0,42100.0,33034.0,3645.0,3424.0,0.0,0.0,NJ
+6/1/2021,0.5980252864312078,-4.317875262753622,588292.9723,44155.7103,90607.49363,284116.2154,134763.2039,7063.0,5284.0,245.0,212.0,7063.0,245.0,16381.0,12276.0,1621.0,1515.0,0.0,0.0,NJ
+7/1/2021,-0.3005899137034769,-4.793469450932759,591156.9787,44739.10644,91303.86426,285309.1752,136042.9707,15958.0,14266.0,145.0,129.0,15958.0,145.0,49500.0,37697.0,3938.0,3699.0,0.0,0.0,NJ
+8/1/2021,-2.7479695029482403,-5.051788993419957,594352.1063,45344.45742,92049.22538,286663.5464,137393.6828,52613.0,44554.0,280.0,268.0,52613.0,280.0,124692.0,96689.0,10251.0,9514.0,132.0,132.0,NJ
+9/1/2021,-2.3572491615923794,-5.432909717964958,598003.0477,45982.0389,92863.41689,288239.0761,138845.4558,62604.0,51809.0,545.0,489.0,62604.0,545.0,125876.0,100733.0,9242.0,8631.0,228.0,212.0,NJ
+10/1/2021,-1.5407652614162406,-3.7489128397442886,601729.6992,46493.84145,93427.76156,289047.4893,139921.603,44347.0,38681.0,545.0,518.0,44347.0,545.0,92290.0,72968.0,7135.0,6746.0,129.0,125.0,NJ
+11/1/2021,-2.6034334044216436,-3.405564408062534,605157.9244,46979.94924,93945.93909,289724.1117,140925.8883,53788.0,44429.0,418.0,405.0,53788.0,418.0,137447.0,110282.0,9877.0,9234.0,72.0,68.0,NJ
+12/1/2021,-14.997466911386606,-3.729294724825011,608954.233,47492.11131,94521.41938,290588.0126,142013.5307,311548.0,258041.0,647.0,625.0,311548.0,647.0,821059.0,695970.0,41847.0,38475.0,1779.0,1670.0,NJ
+1/1/2022,-11.758366521719505,0.9375870356748308,608576.3113,47444.67184,94562.19466,291275.1704,142006.8665,547603.0,481631.0,2405.0,2335.0,547603.0,2405.0,971275.0,824482.0,33491.0,30323.0,2916.0,2773.0,NJ
+2/1/2022,-0.7649609360560672,1.3442560943028128,607792.4135,47365.78242,94538.78136,291758.364,141904.5638,55659.0,46241.0,1473.0,1424.0,55659.0,1473.0,79275.0,65222.0,5133.0,4837.0,79.0,75.0,NJ
+3/1/2022,0.14819276443439985,3.5023501770398795,604846.2344,47118.65629,94177.53316,291190.4782,141296.1894,32292.0,26122.0,317.0,292.0,32292.0,317.0,54731.0,44493.0,2780.0,2582.0,0.0,0.0,NJ
+4/1/2022,-0.6663970988426615,-0.9918936411582546,608296.0824,47223.57954,94518.42529,292787.3064,141742.0048,61887.0,50062.0,197.0,156.0,61887.0,197.0,132576.0,105621.0,4881.0,4491.0,60.0,60.0,NJ
+5/1/2022,-2.7297776915497742,1.4693303772585846,609256.2824,47136.52903,94474.03243,293186.3178,141610.5615,132901.0,106534.0,273.0,238.0,132901.0,273.0,272650.0,213628.0,10202.0,9393.0,155.0,151.0,NJ
+6/1/2022,-2.083196240584318,3.788644168398327,607858.2648,46869.57543,94067.01373,292451.5027,140936.5892,94156.0,73679.0,347.0,328.0,94156.0,347.0,177761.0,136287.0,8532.0,8032.0,75.0,75.0,NJ
+7/1/2022,-2.855089687352341,-2.7095330730136737,611064.9638,47109.02615,94675.20145,294868.2167,141784.2276,108924.0,85839.0,217.0,211.0,108924.0,217.0,204068.0,155644.0,10525.0,9780.0,28.0,28.0,NJ
+8/1/2022,-1.871029796050126,-0.5151385270216511,612063.3702,47178.24583,94941.05349,296217.8057,142119.2993,79257.0,61687.0,296.0,287.0,79257.0,296.0,134563.0,103635.0,7987.0,7464.0,50.0,49.0,NJ
+9/1/2022,-0.4077811723109932,-0.0422035559529359,612587.3512,47210.94367,95132.63769,297332.5064,142343.5814,63972.0,48183.0,182.0,171.0,63972.0,182.0,64404.0,47257.0,4214.0,3924.0,57.0,55.0,NJ
+10/1/2022,-0.6787177214641699,0.17407401492293162,614054.923,47227.11698,95290.02137,298336.6099,142517.1384,14106.0,10347.0,34.0,32.0,0.0,0.0,57847.0,41192.0,4914.0,4583.0,33.0,31.0,NJ
+11/1/2022,-0.696857646091958,-1.5008382939638016,617228.5908,47374.96393,95712.49252,300168.2379,143087.4564,0.0,0.0,0.0,0.0,0.0,,55792.0,40398.0,4961.0,4649.0,78.0,76.0,NJ
+12/1/2022,-1.2889997591311653,-1.7573132665865434,620674.4706,47543.847,96177.27888,302131.8174,143721.1259,0.0,0.0,0.0,0.0,0.0,,83910.0,60007.0,6488.0,6105.0,85.0,78.0,NJ
diff --git a/reports/figures/results/NJ/model.csv b/reports/figures/results/NJ/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/NJ/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/NJ/raw.csv b/reports/figures/results/NJ/raw.csv
new file mode 100644
index 0000000..898212f
--- /dev/null
+++ b/reports/figures/results/NJ/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,512729.8542,37244.19442,80660.45507,247644.6163,117904.7499,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,514618.8399,37233.56896,80648.39324,247874.0663,117882.0625,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,514489.1822,37244.97493,80684.01658,248249.2206,117929.0916,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,515612.8409,37347.10722,80916.1788,249229.0368,118263.3863,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,516417.6964,37426.1815,81098.40127,250055.4642,118524.6831,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,518700.0201,37472.99646,81210.72288,250666.3993,118683.8196,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,519424.1319,37407.67758,81079.99001,250526.1387,118487.7675,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,520304.0477,37354.3271,80975.12926,250464.1409,118329.556,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,517468.4387,37303.52182,80875.72137,250417.4406,118179.3425,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,516521.7823,37388.53714,81070.75411,251281.827,118459.3906,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,515307.3275,37454.29602,81224.04143,252017.039,118678.4369,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,519458.8919,37492.53376,81172.80337,252030.0154,118665.4363,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,522688.6855,37465.69655,80981.42143,251606.9075,118447.2168,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,528508.2605,37625.09528,81192.89667,252435.0643,118818.0909,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,527971.8128,37764.70122,81361.38189,253129.9202,119126.1822,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,526677.3917,37850.11385,81413.09441,253461.4972,119263.3073,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,524595.764,37878.4526,81342.41514,253411.5561,119220.9665,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,524629.5821,37941.07781,81345.81105,253591.8086,119286.9875,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,524508.2586,37992.31603,81325.1568,253696.6145,119317.5713,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,524986.3122,38086.85377,81397.43968,254091.0143,119484.3919,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,525904.6224,38131.77091,81363.94618,254154.8698,119495.8154,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,526887.0545,38181.40772,81340.94352,254250.948,119522.4494,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,527638.9052,38214.41166,81282.96305,254237.0989,119497.4727,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,525666.6471,38196.23966,81358.3159,254539.8,119554.6452,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,524387.5849,38228.1264,81540.0112,255175.0409,119768.219,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,522370.3227,38205.87461,81605.93605,255447.8121,119811.8838,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,523073.7835,38185.94148,81676.36734,255734.4286,119862.3737,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,523886.4868,38174.24382,81764.00049,256074.6639,119938.301,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,525007.0364,38185.17979,81899.79133,256565.536,120085.0197,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,525836.709,38181.6552,82004.27205,256958.1516,120185.9676,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,527521.4437,38240.30549,82242.13407,257768.6241,120482.4719,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,529006.618,38284.49754,82448.88714,258481.5848,120733.4089,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,530068.6199,38347.98453,82697.1935,259324.8172,121045.1942,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,531404.1979,38431.24988,82988.26521,260302.2205,121419.5232,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2014,533150.6703,38544.20051,83343.69536,261481.6398,121887.8959,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2015,538433.6115,38795.48301,83777.19221,263352.1365,122572.6834,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2015,540353.7814,38804.08377,83686.30278,263575.7481,122490.4028,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2015,542119.9833,38802.08789,83572.94979,263726.7944,122375.062,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2015,543452.3046,38844.58912,83555.72831,264179.8335,122400.3498,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+6/1/2015,544589.0901,38820.91993,83288.63346,264345.1759,122109.6018,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2015,545311.5625,38860.93683,83266.88644,264780.084,122127.8797,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2015,546476.254,38932.47746,83312.77431,265429.645,122245.3162,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,548457.435,39062.17022,83482.94591,266475.9074,122545.1887,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2015,548411.2168,39139.87709,83541.84015,267167.7931,122681.7979,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2015,547951.0727,39188.00462,83537.64866,267657.696,122725.742,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,548270.9461,39291.93341,83652.38782,268528.7595,122944.4181,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,550143.2637,39266.18493,83639.49496,269311.9551,122905.7767,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,552639.236,39284.93249,83721.386,270400.4346,123006.4153,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,553512.8188,39188.61917,83557.99615,270695.3209,122746.712,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2016,552024.7922,39053.96685,83312.62501,270720.0074,122366.6882,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2016,551541.9756,38990.57003,83219.06127,271234.063,122209.7275,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,550827.8378,38910.91913,83090.66475,271631.8215,122001.6799,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,551448.4062,38889.32334,83086.14315,272432.6492,121975.5624,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,551470.7686,38825.6654,82991.67737,272937.0022,121817.4386,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,551361.1975,38752.92908,82877.67204,273374.468,121630.6968,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,550924.1374,38661.98729,82724.5688,273679.7696,121386.6515,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,551492.0281,38641.72534,82722.59109,274482.9448,121364.4118,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,551265.6998,38565.94647,82601.67401,274889.6845,121167.7157,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,549025.1214,38488.64254,82472.44042,274644.951,120961.162,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+4/1/2017,548913.4766,38562.97599,82740.20275,276089.7072,121303.2103,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2017,551092.8858,38639.48168,82940.33903,276940.7552,121579.8365,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+9/1/2018,572274.6418,39156.0448,84032.90478,283220.4013,123188.9956,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2018,574302.661,39326.93396,84341.93823,284554.3228,123668.9487,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2018,575806.9932,39445.91755,84568.45061,285463.8456,124014.4599,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+2/1/2020,584528.9457,40255.99472,86295.9545,288840.9111,126551.9492,0.0,0.0,0.0,0.0,0.0,0.0,194.0,170.0,103.0,101.0,0.0,0.0
+3/1/2020,585332.9604,40418.45629,86582.0806,288572.1956,127000.5369,18696.0,18696.0,267.0,267.0,18696.0,366.0,76659.0,75461.0,29705.0,29496.0,6026.0,5783.0
+4/1/2020,568260.2937,40707.17333,87138.19619,289194.1,127845.3695,99957.0,99956.0,6961.0,6961.0,99956.0,8371.0,126075.0,122047.0,49516.0,48890.0,16986.0,14596.0
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+6/1/2020,525455.0954,40666.38976,86926.97705,286043.9203,127593.3668,11871.0,11222.0,1513.0,1483.0,11873.0,1517.0,87714.0,87157.0,6059.0,6005.0,173.0,148.0
+7/1/2020,541140.6115,40619.97323,86766.2042,284296.5374,127386.1774,11286.0,9993.0,784.0,763.0,11320.0,784.0,23283.0,21661.0,3175.0,3123.0,0.0,0.0
+8/1/2020,556669.3594,40569.09402,86596.26668,282526.4112,127165.3607,11506.0,10300.0,126.0,221.0,11547.0,126.0,22746.0,20893.0,2572.0,2502.0,0.0,0.0
+9/1/2020,572806.1247,40568.25818,86533.44592,281111.6537,127101.7041,15118.0,13315.0,177.0,170.0,15161.0,177.0,34033.0,30613.0,3071.0,2896.0,0.0,0.0
+10/1/2020,576086.4204,40628.105,86600.19287,280120.3783,127228.2979,39343.0,32611.0,228.0,222.0,39429.0,228.0,86691.0,73754.0,7868.0,7356.0,47.0,43.0
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+12/1/2020,580396.5225,40590.72671,86399.465,277068.3014,126990.1917,160001.0,140056.0,2049.0,1857.0,160941.0,2049.0,319590.0,269941.0,25704.0,23430.0,3069.0,2824.0
+1/1/2021,583067.485,41242.72759,87209.52542,278564.1704,128452.253,169045.0,146181.0,2442.0,2334.0,167802.0,2442.0,329585.0,273844.0,21315.0,19313.0,2675.0,2362.0
+2/1/2021,586003.1633,41910.12827,88056.2318,280184.9311,129966.3601,92527.0,78184.0,1768.0,1566.0,92527.0,1768.0,180729.0,147394.0,11621.0,10388.0,647.0,603.0
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+7/1/2021,591156.9787,44739.10644,91303.86426,285309.1752,136042.9707,15958.0,14266.0,145.0,129.0,15958.0,145.0,49500.0,37697.0,3938.0,3699.0,0.0,0.0
+8/1/2021,594352.1063,45344.45742,92049.22538,286663.5464,137393.6828,52613.0,44554.0,280.0,268.0,52613.0,280.0,124692.0,96689.0,10251.0,9514.0,132.0,132.0
+9/1/2021,598003.0477,45982.0389,92863.41689,288239.0761,138845.4558,62604.0,51809.0,545.0,489.0,62604.0,545.0,125876.0,100733.0,9242.0,8631.0,228.0,212.0
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+1/1/2022,608576.3113,47444.67184,94562.19466,291275.1704,142006.8665,547603.0,481631.0,2405.0,2335.0,547603.0,2405.0,971275.0,824482.0,33491.0,30323.0,2916.0,2773.0
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diff --git a/reports/figures/results/NJ/results.csv b/reports/figures/results/NJ/results.csv
new file mode 100644
index 0000000..033a191
--- /dev/null
+++ b/reports/figures/results/NJ/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-1245.263
+                ,+ 2 factors in 2 blocks,  AIC                ,2600.526
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2758.662
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2664.783
+Time:           ,18:48:40               ,  EM Iterations      ,342
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.09      ,0.51                   ,0.74
+Cons3           ,.       ,-0.51      ,0.77                   ,0.02
+Cons4           ,.       ,-0.53      ,0.77                   ,0.01
+Cons5           ,.       ,-0.40      ,0.88                   ,0.15
+Cons2           ,.       ,-0.53      ,0.74                   ,0.00
+Cases5          ,-0.29   ,.          ,0.39                   ,0.35
+Cases2          ,-0.29   ,.          ,0.34                   ,0.36
+Deaths5         ,-0.28   ,.          ,0.29                   ,0.42
+Deaths2         ,-0.28   ,.          ,0.30                   ,0.43
+Cases3          ,-0.29   ,.          ,0.38                   ,0.36
+Deaths3         ,-0.28   ,.          ,0.29                   ,0.43
+Cases4          ,-0.28   ,.          ,0.51                   ,0.28
+Cases1          ,-0.29   ,.          ,0.49                   ,0.28
+Hosp2           ,-0.33   ,.          ,0.69                   ,0.00
+Hosp1           ,-0.32   ,.          ,0.65                   ,0.00
+Deaths4         ,-0.25   ,.          ,0.40                   ,0.34
+Deaths1         ,-0.26   ,.          ,0.44                   ,0.31
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.68       ,5.04
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.67          ,1.97
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/NJ/run-info.yaml b/reports/figures/results/NJ/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/NJ/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/NY/df.csv b/reports/figures/results/NY/df.csv
new file mode 100644
index 0000000..f6bcf66
--- /dev/null
+++ b/reports/figures/results/NY/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.741389337153302,0.30488930559429755,0.3863946351630045,0.552788378192759,0.381716750574255,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.7459036343014811,0.32243973987641755,0.4122037689566291,0.5706730084090738,0.41054932807311234,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.7344030255926585,0.3547294140473195,0.45970860335384256,0.6035846569052918,0.46361246551291796,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.7762205820023053,0.4880532162290361,0.6559325978994426,0.7395029199323019,0.6827699340481992,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.7645092424958615,0.45364890112681744,0.6052665377838572,0.7044187121329493,0.6261923932341666,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.7184457746986063,0.4059844230792069,0.535082161961607,0.6558155360130843,0.5478160074213967,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.6655616895721042,0.24141176899108605,0.2928130650338753,0.4880220138129259,0.2772497204102124,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.6707184155850371,0.2586542758455008,0.3181699217633531,0.5055930530227661,0.30557690771281176,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.6833705092729739,0.2621078270901693,0.3232301057810612,0.5091060277504997,0.3112360159259796,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.7465846517643375,0.46160230314970435,0.6168560518943144,0.7124870650880336,0.6391749076469977,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.7369707323819396,0.4329252443016797,0.5746214037494479,0.6832422863194185,0.5920134551615546,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.4948710617732024,0.36811553797918134,0.42073173791860274,0.6022218712381826,0.43940092989208446,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.4639428380878733,0.27267068205111705,0.2805588996214764,0.504998386574434,0.2827545717414308,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.5503718250109089,0.5449072252464043,0.6815979054095852,0.7826332566987007,0.7305522776606566,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.7237893494202376,0.5150374343165244,0.6379437272348221,0.7522633672563283,0.681702654693036,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.698310316103797,0.4356263995413849,0.5213638046839318,0.671384316039467,0.5514078841915337,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.6716714691548205,0.35257740976900825,0.3994260866140086,0.5867955201786269,0.41513028027095206,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.6863180749365658,0.4020570659363683,0.4725635009234127,0.6373217882605164,0.4967195798351689,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.6808642144814726,0.38533994924819526,0.44825868612131015,0.6203582738602579,0.46948313859254237,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.7006109374514203,0.4475662456104655,0.540153341046449,0.683878493448377,0.5720227234182995,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/NY/factors.csv b/reports/figures/results/NY/factors.csv
new file mode 100644
index 0000000..53dd95e
--- /dev/null
+++ b/reports/figures/results/NY/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+10/1/2013,1.1271301780821628,0.4657185592070916,1357112.227,67507.97926,160432.3221,549288.8297,227940.2194,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2013,1.1271301780821625,0.366245737096082,1363607.935,67618.92142,160595.1388,550068.5522,228213.9702,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2013,1.1271301780821645,0.7251420289318314,1369492.869,67700.32522,160688.1588,550608.4205,228388.386,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2014,1.1271301780821674,-0.28234671924331645,1367096.476,67803.91026,161040.2938,551899.4717,228844.1144,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2014,1.1271301780821648,-1.3446736306121265,1366496.088,67996.01973,161602.4188,553909.9683,229598.3571,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+3/1/2014,1.1271301780821716,-0.1710553852444232,1363964.971,68091.48357,161934.5787,555132.0178,230025.9891,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+4/1/2014,1.1271301780821588,-0.20913084891457034,1367891.06,68190.54849,162274.8892,556381.681,230465.3728,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+8/1/2014,1.1271301780821614,-1.8509051020751854,1391412.136,68822.96119,164195.541,563296.3096,233018.4699,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2014,1.127130178082163,-1.528281072747879,1399163.396,69035.5416,164805.214,565468.9059,233840.7314,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2014,1.1271301780821639,-1.9289525943157102,1405392.901,69282.91512,165497.9469,567926.492,234780.8459,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2014,1.12713017808216,-2.3379793451438804,1412351.226,69566.15712,166276.4635,570678.5372,235842.6125,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2014,1.1271301780821588,-2.9551221600454194,1420409.462,69903.4389,167184.3793,573874.8786,237087.8181,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2015,1.1271301780821545,-3.3808034359370485,1429268.205,70333.62612,168129.8411,578209.0714,238463.4591,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2015,1.1271301780821628,1.7650312492643518,1429185.098,70323.77185,168023.1535,578928.0843,238346.9091,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+7/1/2015,1.1271301780821656,1.092922771085328,1446212.785,70300.79949,167556.4734,582701.9025,237857.2165,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+9/1/2015,1.1271301780821619,-0.7923587483773205,1454130.353,70614.8283,168141.2106,586880.4277,238755.9663,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2015,1.1271301780821625,0.30392811112103657,1449322.611,70730.38713,168334.7374,588626.421,239065.0438,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2015,1.1271301780821688,0.9244138865225588,1443423.137,70792.50414,168401.1132,589927.301,239193.5286,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2015,1.1271301780821754,-0.24125215677638018,1439577.446,70955.42018,168707.2531,592068.3176,239662.5764,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2016,1.127130178082171,1.0621305123422804,1454594.28,71000.26459,168750.7744,593793.0598,239750.9503,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2016,1.127130178082173,0.13377265457691906,1471261.147,71125.57551,168985.5388,596190.9074,240111.0336,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+3/1/2016,1.1271301780821705,2.538699848255208,1483591.867,71042.41358,168725.1041,596839.0091,239767.4452,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+4/1/2016,1.1271301780821645,3.3486535701475035,1484729.78,70889.23777,168298.7392,596891.376,239187.9128,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+5/1/2016,1.1271301780821672,1.8587195632759055,1488546.794,70864.96693,168178.7078,598022.7278,239043.6186,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+6/1/2016,1.127130178082164,2.203857628625108,1491722.198,70810.84713,167988.049,598897.6722,238798.8481,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+7/1/2016,1.1271301780821645,0.9828532337027687,1490203.388,70862.16712,168047.6741,600661.3141,238909.8012,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+8/1/2016,1.1271301780821654,1.8716983141983012,1487074.112,70836.67069,167925.2496,601771.2904,238761.8883,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2016,1.1271301780821652,2.066533095076025,1483599.35,70794.31878,167763.0673,602733.8004,238557.3622,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2016,1.1271301780821716,2.4558956275951873,1484726.458,70718.35296,167521.4723,603404.9237,238239.8094,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2016,1.1271301780821568,0.9596555610316079,1488555.924,70771.43711,167585.7373,605173.7562,238357.1665,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2016,1.1271301780821625,2.140141003622091,1490236.628,70722.64491,167408.8957,606068.5413,238131.5406,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2017,1.1271301780821714,1.580704008264643,1491037.777,70646.64605,167422.128,606034.3301,238068.774,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2017,1.1271301780821577,-0.1976204316224659,1495069.054,70724.29036,167798.4592,607314.8938,238522.7495,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+3/1/2017,1.1271301780821643,-1.897500323404438,1502213.682,70949.3233,168524.2911,609860.4898,239473.6144,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+4/1/2017,1.1271301780821603,0.3644353406528076,1498697.389,70979.40939,168786.7554,610729.3716,239766.1648,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+5/1/2017,1.1271301780821668,-1.6594954799398254,1498902.164,71185.3523,169467.0368,613110.2156,240652.3892,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+6/1/2017,1.1271301780821648,-0.6337544027636297,1497251.146,71303.02887,169937.06,614730.4257,241240.0888,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+7/1/2017,1.1271301780821639,-1.1979544738421666,1503119.933,71470.41502,170525.3271,616778.4685,241995.7421,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+8/1/2017,1.127130178082166,0.544812866345318,1505799.723,71486.46313,170752.0132,617518.9064,242238.4763,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2017,1.127130178082175,1.6822072912628094,1506384.577,71403.73365,170741.612,617402.4096,242145.3456,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2017,1.1271301780821572,-0.17119679448175074,1516962.843,71482.79074,171117.1017,618681.7068,242599.8925,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2017,1.1271301780821648,-0.010150553170735654,1527224.027,71548.21749,171459.3806,619841.1733,243007.5981,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2017,1.1271301780821592,-0.17181845095933357,1537767.433,71628.1548,171835.8572,621124.5093,243464.012,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2018,1.1271301780821665,1.1537947171267915,1544701.788,71648.63577,171878.7839,621417.8278,243527.4197,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2018,1.12713017808217,0.2490932818351706,1553302.547,71748.21525,172111.4983,622396.4847,243859.7135,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+4/1/2018,1.127130178082159,-0.12941161719052985,1567824.234,72054.5184,172834.0186,625281.914,244888.537,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+5/1/2018,1.1271301780821554,-0.16619594376668098,1572248.728,72191.21539,173155.8419,626581.2406,245347.0573,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+6/1/2018,1.1271301780821632,-0.7703665529537198,1577835.52,72381.48213,173606.1745,628345.1813,245987.6566,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+7/1/2018,1.127130178082174,-0.9411600858922966,1581698.934,72587.37867,174094.0074,630244.5727,246681.3861,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+8/1/2018,1.1271301780821588,-1.0435180590117648,1585774.425,72802.95909,174605.0764,632227.8545,247408.0355,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2018,1.127130178082167,0.10704951911245497,1587635.785,72916.80461,174872.1698,633327.3327,247788.9744,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2018,1.1271301780821723,-0.26174424386851475,1583642.662,73063.68049,175218.501,634713.271,248282.1815,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2018,1.1271301780821605,-1.3131482481904397,1581707.152,73304.78546,175790.8212,636917.5561,249095.6067,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2018,1.1271301780821648,-1.4748888301458958,1580106.614,73561.21148,176399.8862,639254.8926,249961.0977,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2019,1.1271301780821645,-1.2858407379824541,1591398.736,73719.92867,177051.8167,641168.9317,250771.7454,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+2/1/2019,1.1271301780821608,0.09821032604562419,1600006.597,73754.81771,177405.9669,642005.2346,251160.7846,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+3/1/2019,1.1271301780821683,1.063585286412749,1606706.505,73703.29761,177551.1225,642087.1138,251254.4201,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+4/1/2019,1.127130178082166,1.3639204607841044,1612276.219,73625.22014,177630.7463,641934.5661,251255.9665,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+5/1/2019,1.1271301780821663,-0.582177748407815,1621655.501,73722.35775,178132.0926,643307.7241,251854.4504,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+6/1/2019,1.127130178082159,-0.5523937240169345,1630977.305,73817.34661,178627.871,644661.3908,252445.2176,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+7/1/2019,1.1271301780821632,0.05107207629410404,1632588.031,73858.49062,178992.7774,645543.6869,252851.268,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+8/1/2019,1.1271301780821679,-0.8434283601786108,1635989.57,73980.708,179553.6871,647133.6517,253534.3951,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2019,1.1271301780821639,-0.5604502400503332,1638838.368,74077.96238,180053.7398,648504.7229,254131.7022,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+10/1/2019,1.1271301780821683,0.4945193366917424,1638462.186,74080.36973,180322.5626,649044.1001,254402.9324,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+11/1/2019,1.127130178082165,-0.7621291943280089,1640608.315,74196.77315,180868.2451,650581.0076,255065.0182,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+12/1/2019,1.1271301780821674,0.8834080587034605,1639474.155,74164.77026,181051.4196,650815.1821,255216.1899,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+1/1/2020,1.094009688411116,2.608203639959214,1639370.313,74149.95403,180682.3412,646355.5187,254832.2953,0.0,0.0,0.0,0.0,0.0,0.0,1051.0,1027.0,112.0,110.0,0.0,0.0,NY
+2/1/2020,0.624962537191914,1.9997910140230308,1640477.087,74189.92527,180447.7657,642386.453,254637.6909,0.0,0.0,0.0,0.0,0.0,0.0,2099.0,1959.0,1705.0,1587.0,141.0,106.0,NY
+3/1/2020,-15.63887727028833,-0.749294226217363,1647091.605,74478.97116,180818.6404,640569.3713,255297.6115,32656.0,32656.0,211.0,211.0,75853.0,2767.0,259565.0,256294.0,56660.0,56096.0,19272.0,17975.0,NY
+4/1/2020,-20.289021071857075,-3.284830606262603,1605812.688,75000.58964,181751.6502,640720.0547,256752.2399,104238.0,104238.0,5134.0,5134.0,232456.0,21667.0,445784.0,407230.0,72419.0,71116.0,33508.0,26319.0,NY
+5/1/2020,-2.6745741896478954,1.9333856567271746,1554127.814,75046.64576,181530.7996,636789.6961,256577.4454,30573.0,30573.0,2785.0,2785.0,65373.0,6129.0,268897.0,165444.0,12863.0,12534.0,3471.0,2740.0,NY
+6/1/2020,-0.3532788937115383,3.9860572785974817,1498793.275,74904.78211,180856.9158,631284.6514,255761.6979,10808.0,10808.0,550.0,550.0,22227.0,1346.0,136776.0,83759.0,5007.0,4906.0,323.0,314.0,NY
+7/1/2020,-0.07840818372336755,3.479620917649449,1530233.122,74809.02028,180296.4894,626196.041,255105.5096,11591.0,11591.0,161.0,161.0,22235.0,599.0,117869.0,85984.0,4075.0,4022.0,66.0,66.0,NY
+8/1/2020,0.18514705347355703,3.5675227201086344,1561306.753,74705.10093,179718.3701,621064.7363,254423.4711,10653.0,10653.0,111.0,111.0,19010.0,283.0,88262.0,75862.0,3184.0,3144.0,72.0,70.0,NY
+9/1/2020,0.14475753169824496,2.5533856842435894,1594146.202,74693.38249,179363.6494,616720.6329,254057.0319,14089.0,14089.0,89.0,89.0,24383.0,367.0,95724.0,93055.0,3320.0,3285.0,144.0,140.0,NY
+10/1/2020,-0.46658385054095786,1.3250981911519295,1600708.686,74793.41323,179277.9689,613308.2247,254071.3821,29663.0,29663.0,222.0,222.0,50224.0,401.0,149054.0,140175.0,5385.0,5342.0,179.0,170.0,NY
+11/1/2020,-1.648553189199655,1.20019908415716,1607511.746,74904.78301,179219.6222,609990.8059,254124.4052,91730.0,91730.0,739.0,739.0,144652.0,895.0,343145.0,311979.0,9385.0,9229.0,895.0,872.0,NY
+12/1/2020,-5.124731521187366,4.614450824769324,1607604.904,74704.41373,178416.8524,604153.6335,253121.2662,212153.0,212153.0,2564.0,2564.0,322370.0,3345.0,610029.0,554816.0,21133.0,20852.0,2512.0,2408.0,NY
+1/1/2021,-9.250653381781074,-3.7538153499725215,1609725.891,75656.25657,179051.9365,606527.1992,254708.1931,263125.0,263125.0,3654.0,3654.0,441124.0,5651.0,682529.0,609083.0,35074.0,34683.0,4633.0,4443.0,NY
+2/1/2021,-6.551075560476649,-4.081174498580027,1612615.416,76638.10224,179769.6403,609179.0382,256407.7425,107667.0,107667.0,1783.0,1783.0,223960.0,3967.0,401042.0,349294.0,25950.0,25664.0,2539.0,2449.0,NY
+3/1/2021,-6.388080750697957,-1.891046734280461,1611320.139,77413.27267,180017.1827,610235.629,257430.4553,107227.0,107227.0,781.0,781.0,229271.0,2680.0,446261.0,384801.0,25398.0,25133.0,2095.0,2028.0,NY
+4/1/2021,-3.7114962270638205,-2.3059996094110247,1618945.155,78223.82511,180364.3855,611627.6254,258588.2106,92985.0,92985.0,625.0,625.0,175012.0,1958.0,289569.0,255771.0,16354.0,16161.0,712.0,666.0,NY
+5/1/2021,-0.7103028251562091,-2.4289651142695403,1626843.844,79043.03004,180747.2703,613138.4033,259790.3004,32062.0,32062.0,371.0,371.0,54254.0,1043.0,84762.0,76559.0,6209.0,6152.0,55.0,55.0,NY
+6/1/2021,0.3353254019848968,-1.9608346389740572,1633841.83,79813.87171,181035.3115,614325.2092,260849.1833,6255.0,6255.0,150.0,150.0,12582.0,372.0,25144.0,22066.0,2676.0,2647.0,0.0,0.0,NY
+7/1/2021,-0.3692870563786512,-2.694730057547363,1638460.102,80653.34035,181493.7076,616087.9905,262147.0479,15309.0,15309.0,55.0,55.0,35404.0,171.0,94495.0,80464.0,5059.0,4984.0,48.0,45.0,NY
+8/1/2021,-2.4852205220871273,-3.1302692288731673,1644024.223,81534.18524,182057.3266,618206.205,263591.5118,70452.0,70452.0,305.0,305.0,128200.0,613.0,262266.0,238176.0,12209.0,12071.0,302.0,290.0,NY
+9/1/2021,-1.6249644798076566,-3.7296590661707176,1650872.201,82474.44524,182763.4879,620807.0081,265237.9332,97576.0,97576.0,678.0,678.0,148093.0,1104.0,277724.0,254648.0,9305.0,9153.0,269.0,256.0,NY
+10/1/2021,-0.8316197116193367,-1.5205022491401725,1661674.994,83190.89653,182985.8244,621762.5845,266176.7209,97641.0,97641.0,792.0,792.0,132900.0,1081.0,241388.0,225684.0,6621.0,6534.0,219.0,205.0,NY
+11/1/2021,-1.418751415622475,-1.130500142201564,1671647.659,83863.71968,183128.1373,622443.8945,266991.857,131053.0,131053.0,783.0,783.0,170012.0,1095.0,364561.0,343130.0,8608.0,8465.0,490.0,479.0,NY
+12/1/2021,-9.984708977847053,-1.6443438355563726,1682631.331,84585.28622,183392.0953,623536.4058,267977.3815,355100.0,355100.0,1390.0,1390.0,750685.0,1974.0,2002692.0,1865917.0,37574.0,36912.0,2619.0,2572.0,NY
+1/1/2022,-12.306497302554904,0.4167982700266464,1682520.04,84532.31243,183756.9509,625026.6736,268289.2633,629777.0,629777.0,2316.0,2316.0,1325136.0,5338.0,2146111.0,2039264.0,45406.0,44844.0,5303.0,4988.0,NY
+2/1/2022,-0.23692626431553432,0.9804469110053902,1681275.968,84422.95318,183993.8952,626079.0938,268416.8483,76202.0,76202.0,1030.0,1030.0,119805.0,2512.0,190529.0,184384.0,4610.0,4561.0,117.0,117.0,NY
+3/1/2022,0.494141210616757,3.923405853680776,1674036.482,84013.25822,183569.0235,624875.7841,267582.2817,40627.0,40627.0,277.0,277.0,70513.0,609.0,137617.0,128413.0,2140.0,2107.0,0.0,0.0,NY
+4/1/2022,-0.0702637820617551,-2.1723793478064852,1670064.685,84230.92004,184509.5684,628317.635,268740.4885,108578.0,108578.0,251.0,251.0,172388.0,377.0,324014.0,301879.0,4047.0,3999.0,87.0,87.0,NY
+5/1/2022,-1.0741564757160056,1.1827521547478304,1659365.222,84105.92123,184695.7959,629188.8662,268801.7171,151342.0,151342.0,433.0,433.0,269689.0,645.0,549008.0,504975.0,7441.0,7341.0,173.0,171.0,NY
+6/1/2022,-1.222576407350947,4.344289313258767,1642453.041,83659.442,184168.7852,627626.6274,267828.2272,71061.0,71061.0,321.0,321.0,173282.0,678.0,335813.0,299986.0,7940.0,7870.0,112.0,109.0,NY
+7/1/2022,-2.250135265125272,-4.474910267539592,1652247.84,84116.59792,185626.9939,632827.716,269743.5918,86951.0,86951.0,265.0,265.0,206851.0,602.0,430568.0,379685.0,11418.0,11243.0,271.0,256.0,NY
+8/1/2022,-1.149630862664142,-1.4824245061543038,1656069.712,84269.74223,186413.5308,635738.5825,270683.273,73805.0,73805.0,321.0,321.0,170440.0,855.0,284309.0,254339.0,7696.0,7595.0,52.0,48.0,NY
+9/1/2022,0.04316419829990237,-0.8295339885771285,1658601.092,84357.47137,187052.6322,638145.247,271410.1036,71875.0,71875.0,297.0,297.0,132929.0,704.0,136978.0,124331.0,3664.0,3616.0,25.0,25.0,NY
+10/1/2022,-0.3093911451060517,-0.5255808579922923,1656528.249,84415.46371,187622.6031,640314.4417,272038.0668,16583.0,16583.0,85.0,85.0,0.0,0.0,136088.0,122233.0,4856.0,4791.0,170.0,164.0,NY
+11/1/2022,-0.6668294684611846,-2.791349438959642,1659086.449,84708.6767,188713.2915,644259.6705,273421.9682,0.0,0.0,0.0,0.0,0.0,,149083.0,130880.0,6065.0,5974.0,257.0,239.0,NY
+12/1/2022,-1.1122574301294392,-3.1297146758068535,1662385.245,85039.4603,189887.0274,648488.0898,274926.4877,0.0,0.0,0.0,0.0,0.0,,201644.0,176701.0,7571.0,7456.0,418.0,390.0,NY
diff --git a/reports/figures/results/NY/model.csv b/reports/figures/results/NY/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/NY/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/NY/raw.csv b/reports/figures/results/NY/raw.csv
new file mode 100644
index 0000000..2906c34
--- /dev/null
+++ b/reports/figures/results/NY/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,1287293.787,65166.80898,155782.9457,531310.2952,220949.671,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,1295447.536,65202.73725,155878.3276,531619.3413,221080.9896,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,1302797.582,65277.07128,156065.4944,532241.4702,221342.4989,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,1313319.833,65510.4056,156632.8,534160.017,222143.1471,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,1323042.506,65703.38201,157103.6267,535749.5186,222806.9586,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,1329337.979,65839.73331,157439.0582,536877.2976,223278.7497,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,1331638.371,65778.86585,157302.8562,536396.8357,223081.6887,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,1334335.369,65738.70033,157216.101,536085.0875,222954.7764,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,1338003.582,65702.69277,157139.2341,535807.1522,222841.9103,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,1346530.86,65905.78378,157634.1911,537479.036,223539.9666,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,1354369.191,66074.9754,158048.0749,538874.4744,224123.0503,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,1343561.041,66166.43681,158161.5354,539491.9566,224327.9639,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,1330488.684,66142.92116,158000.7447,539172.6805,224143.6494,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,1324058.284,66448.13557,158625.4615,541533.3884,225073.5724,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,1330764.351,66718.44455,159166.6336,543609.361,225885.0452,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,1335560.968,66893.01389,159479.3915,544905.2487,226372.3641,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,1338338.701,66966.64954,159551.8038,545379.2923,226518.404,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,1342243.687,67100.82154,159768.7972,546346.773,226869.5611,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,1345741.142,67214.79,159937.97,547150.1002,227152.6943,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,1350769.079,67405.31758,160289.5126,548576.8833,227694.7563,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,1357112.227,67507.97926,160432.3221,549288.8297,227940.2194,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,1363607.935,67618.92142,160595.1388,550068.5522,228213.9702,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,1369492.869,67700.32522,160688.1588,550608.4205,228388.386,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,1367096.476,67803.91026,161040.2938,551899.4717,228844.1144,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,1366496.088,67996.01973,161602.4188,553909.9683,229598.3571,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,1363964.971,68091.48357,161934.5787,555132.0178,230025.9891,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,1367891.06,68190.54849,162274.8892,556381.681,230465.3728,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,1372095.208,68303.82793,162648.6444,557745.711,230952.4157,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,1377099.723,68457.22327,163117.6299,559436.0654,231574.8047,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,1383134.025,68584.3428,163523.7345,560910.5453,232108.037,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,1391412.136,68822.96119,164195.541,563296.3096,233018.4699,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,1399163.396,69035.5416,164805.214,565468.9059,233840.7314,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,1405392.901,69282.91512,165497.9469,567926.492,234780.8459,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,1412351.226,69566.15712,166276.4635,570678.5372,235842.6125,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2014,1420409.462,69903.4389,167184.3793,573874.8786,237087.8181,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2015,1429268.205,70333.62612,168129.8411,578209.0714,238463.4591,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2015,1429185.098,70323.77185,168023.1535,578928.0843,238346.9091,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2015,1428713.131,70294.8041,167871.0943,579486.9008,238165.8741,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2015,1435334.143,70346.51637,167911.9295,580708.6775,238258.4135,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2015,1439610.622,70284.18124,167680.8022,580986.4913,237964.9431,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2015,1444509.366,70253.39603,167525.3009,581521.6823,237778.6486,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2015,1446212.785,70300.79949,167556.4734,582701.9025,237857.2165,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2015,1449089.184,70405.25125,167723.6841,584354.3242,238128.8709,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,1454130.353,70614.8283,168141.2106,586880.4277,238755.9663,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2015,1449322.611,70730.38713,168334.7374,588626.421,239065.0438,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2015,1443423.137,70792.50414,168401.1132,589927.301,239193.5286,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,1439577.446,70955.42018,168707.2531,592068.3176,239662.5764,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,1454594.28,71000.26459,168750.7744,593793.0598,239750.9503,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,1471261.147,71125.57551,168985.5388,596190.9074,240111.0336,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,1483591.867,71042.41358,168725.1041,596839.0091,239767.4452,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2016,1484729.78,70889.23777,168298.7392,596891.376,239187.9128,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2016,1488546.794,70864.96693,168178.7078,598022.7278,239043.6186,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,1491722.198,70810.84713,167988.049,598897.6722,238798.8481,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,1490203.388,70862.16712,168047.6741,600661.3141,238909.8012,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,1487074.112,70836.67069,167925.2496,601771.2904,238761.8883,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,1483599.35,70794.31878,167763.0673,602733.8004,238557.3622,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,1484726.458,70718.35296,167521.4723,603404.9237,238239.8094,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,1488555.924,70771.43711,167585.7373,605173.7562,238357.1665,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,1490236.628,70722.64491,167408.8957,606068.5413,238131.5406,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,1491037.777,70646.64605,167422.128,606034.3301,238068.774,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2017,1495069.054,70724.29036,167798.4592,607314.8938,238522.7495,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2017,1502213.682,70949.3233,168524.2911,609860.4898,239473.6144,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2017,1498697.389,70979.40939,168786.7554,610729.3716,239766.1648,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2017,1498902.164,71185.3523,169467.0368,613110.2156,240652.3892,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2017,1497251.146,71303.02887,169937.06,614730.4257,241240.0888,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2017,1503119.933,71470.41502,170525.3271,616778.4685,241995.7421,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2017,1505799.723,71486.46313,170752.0132,617518.9064,242238.4763,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2017,1506384.577,71403.73365,170741.612,617402.4096,242145.3456,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+12/1/2017,1537767.433,71628.1548,171835.8572,621124.5093,243464.012,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2018,1544701.788,71648.63577,171878.7839,621417.8278,243527.4197,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2020,1639370.313,74149.95403,180682.3412,646355.5187,254832.2953,0.0,0.0,0.0,0.0,0.0,0.0,1051.0,1027.0,112.0,110.0,0.0,0.0
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+9/1/2020,1594146.202,74693.38249,179363.6494,616720.6329,254057.0319,14089.0,14089.0,89.0,89.0,24383.0,367.0,95724.0,93055.0,3320.0,3285.0,144.0,140.0
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+7/1/2021,1638460.102,80653.34035,181493.7076,616087.9905,262147.0479,15309.0,15309.0,55.0,55.0,35404.0,171.0,94495.0,80464.0,5059.0,4984.0,48.0,45.0
+8/1/2021,1644024.223,81534.18524,182057.3266,618206.205,263591.5118,70452.0,70452.0,305.0,305.0,128200.0,613.0,262266.0,238176.0,12209.0,12071.0,302.0,290.0
+9/1/2021,1650872.201,82474.44524,182763.4879,620807.0081,265237.9332,97576.0,97576.0,678.0,678.0,148093.0,1104.0,277724.0,254648.0,9305.0,9153.0,269.0,256.0
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diff --git a/reports/figures/results/NY/results.csv b/reports/figures/results/NY/results.csv
new file mode 100644
index 0000000..7d41b94
--- /dev/null
+++ b/reports/figures/results/NY/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-991.522
+                ,+ 2 factors in 2 blocks,  AIC                ,2093.044
+                ,+ AR(1) idiosyncratic  ,  BIC                ,2251.180
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,2157.302
+Time:           ,18:48:41               ,  EM Iterations      ,358
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.11      ,0.53                   ,0.70
+Cons3           ,.       ,-0.44      ,0.91                   ,0.06
+Cons4           ,.       ,-0.52      ,0.90                   ,0.03
+Cons5           ,.       ,-0.47      ,0.94                   ,0.05
+Cons2           ,.       ,-0.55      ,0.93                   ,0.00
+Cases5          ,-0.29   ,.          ,0.56                   ,0.40
+Cases2          ,-0.29   ,.          ,0.56                   ,0.40
+Deaths5         ,-0.30   ,.          ,0.13                   ,0.35
+Deaths2         ,-0.30   ,.          ,0.13                   ,0.35
+Cases3          ,-0.29   ,.          ,0.53                   ,0.41
+Deaths3         ,-0.28   ,.          ,-0.04                  ,0.32
+Cases4          ,-0.29   ,.          ,0.58                   ,0.36
+Cases1          ,-0.29   ,.          ,0.60                   ,0.35
+Hosp2           ,-0.32   ,.          ,-0.12                  ,0.00
+Hosp1           ,-0.32   ,.          ,-0.13                  ,0.00
+Deaths4         ,-0.24   ,.          ,0.52                   ,0.22
+Deaths1         ,-0.25   ,.          ,0.58                   ,0.17
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.65       ,5.67
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.47          ,2.62
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/NY/run-info.yaml b/reports/figures/results/NY/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/NY/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/PA/df.csv b/reports/figures/results/PA/df.csv
new file mode 100644
index 0000000..1b0b358
--- /dev/null
+++ b/reports/figures/results/PA/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.5909168090458105,0.2808054412115694,0.18337099420492378,0.5032242999539724,0.1557268123724317,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.5955202069074886,0.2986370370954304,0.20597886676576782,0.521973006747605,0.18329358528027984,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.616504858613189,0.33138919087355234,0.2472904375837003,0.556365092632867,0.23373064027912496,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.651328142802981,0.4664209931403499,0.4168229224297293,0.6979936282676578,0.44095014296581514,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.6422721236683132,0.43165579500807394,0.37348924185708743,0.6615953577139458,0.3878877885970032,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.6217788272323573,0.3834664746105275,0.3133251891751945,0.6111220387296751,0.3142464596312749,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5787151871116298,0.21692684860506758,0.10479078028333563,0.4365620434524091,0.05918562736901317,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.5832167263783303,0.23444406677117036,0.12699678926541097,0.45497917768482204,0.08626287010516115,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.526773318905871,0.23800187162505113,0.13170137597285836,0.4587600310149088,0.0919405306725408,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.579017106051519,0.4400177473450282,0.3852004426078192,0.67061720096952,0.4018318402680079,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.5715678852026084,0.41104786036071783,0.3491244892887505,0.6402932199296582,0.3576456423291612,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6403977549842248,0.24359085564036687,0.1950468446431834,0.5427329476089854,0.14727714962120206,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.6151642505440785,0.14749065901338657,0.07461098467414107,0.4417378231326341,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.6861242597371309,0.4236022708165173,0.4207959724199674,0.7309956430743623,0.4232831105545857,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.6376823570104577,0.3938782726129968,0.38357193363714387,0.6995963735462506,0.37775317737679664,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.6169695500776201,0.31399838663247515,0.28347013952867556,0.6156116316714028,0.2553395737336927,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/PA/factors.csv b/reports/figures/results/PA/factors.csv
new file mode 100644
index 0000000..ba868d0
--- /dev/null
+++ b/reports/figures/results/PA/factors.csv
@@ -0,0 +1,132 @@
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+8/1/2020,-0.05519236204518595,1.5977859681620261,686465.1306,56225.11841,108912.555,355232.3379,165137.6435,22644.0,21481.0,469.0,456.0,22274.0,454.0,42788.0,41250.0,3116.0,3086.0,188.0,188.0,PA
+9/1/2020,0.18950763139996946,0.7966665667573227,705819.573,56390.87741,108778.7489,353002.54,165169.5815,25399.0,23715.0,469.0,442.0,25512.0,470.0,53164.0,50348.0,2650.0,2620.0,188.0,188.0,PA
+10/1/2020,1.5380797358065497,-0.17450246025344507,709780.7693,56640.63246,108807.9351,351305.4869,165448.5078,49597.0,44701.0,670.0,629.0,49513.0,665.0,108939.0,99821.0,5956.0,5830.0,716.0,654.0,PA
+11/1/2020,7.89308573850467,-0.26968343504811254,713848.1424,56898.89193,108853.6723,349662.7219,165752.4896,154983.0,138929.0,1571.0,1211.0,155565.0,1559.0,370166.0,336272.0,16222.0,15502.0,6471.0,5908.0,PA
+12/1/2020,12.192002780815297,2.4450745232960505,714931.1636,56919.572,108446.9015,346574.4093,165366.3843,278875.0,238930.0,5595.0,4680.0,279558.0,5673.0,554742.0,470232.0,17741.0,16646.0,9300.0,8028.0,PA
+1/1/2021,7.412363534049627,-4.804611930544364,715059.941,57646.55114,109182.4624,347717.8763,166828.9321,202380.0,158725.0,5624.0,4817.0,203060.0,5626.0,360678.0,287113.0,11110.0,10412.0,3362.0,2969.0,PA
+2/1/2021,2.670544486541052,-5.025902361501551,715535.9519,58396.37869,109965.9027,349022.4355,168362.2076,86864.0,66473.0,2419.0,2255.0,87993.0,2339.0,161939.0,127088.0,5928.0,5574.0,438.0,423.0,PA
+3/1/2021,3.625829557174359,-3.24963366915291,714162.5598,58988.70917,110458.5636,349414.9975,169447.2068,93719.0,71297.0,1072.0,1110.0,95393.0,1094.0,205519.0,160625.0,6587.0,6163.0,364.0,354.0,PA
+4/1/2021,4.462437594627417,-3.542963670960518,716627.8296,59607.98217,111008.5669,350001.9842,170616.4907,125866.0,96894.0,1125.0,1147.0,127806.0,1120.0,242067.0,189601.0,8214.0,7713.0,546.0,527.0,PA
+5/1/2021,0.8078130786642815,-3.60564133839669,719223.6477,60233.8318,111577.0546,350659.1098,171810.8356,50716.0,38092.0,996.0,936.0,52431.0,1005.0,86937.0,66038.0,3787.0,3543.0,114.0,111.0,PA
+6/1/2021,-0.8243980572148741,-3.2001230071384716,721430.7367,60822.81003,112083.4849,351133.1393,172906.2516,9420.0,7008.0,464.0,429.0,10643.0,464.0,16677.0,12903.0,1160.0,1118.0,0.0,0.0,PA
+7/1/2021,-0.39238184613750987,-3.7500818168294145,723121.986,61464.07038,112692.085,351938.438,174156.1194,13522.0,10359.0,174.0,197.0,14205.0,172.0,35228.0,27615.0,1757.0,1666.0,0.0,0.0,PA
+8/1/2021,2.4949013279878405,-4.064163976503597,725233.6173,62136.84976,113363.2762,352948.4845,175500.0973,69312.0,53469.0,383.0,810.0,71310.0,385.0,159027.0,125754.0,5089.0,4699.0,213.0,189.0,PA
+9/1/2021,5.34259895379555,-4.509320463320828,727914.0127,62854.89864,114120.972,354235.4548,176975.8493,129572.0,103163.0,1165.0,997.0,132222.0,1165.0,280026.0,225717.0,6953.0,6519.0,826.0,730.0,PA
+10/1/2021,4.935871899726112,-2.7254997182720726,732999.4581,63402.36695,114573.7678,354585.3869,177976.1206,134999.0,108533.0,2054.0,1496.0,137297.0,2052.0,262509.0,210943.0,7936.0,7383.0,1168.0,1062.0,PA
+11/1/2021,7.027907797853299,-2.386977148748514,737714.9464,63916.56796,114972.7651,354781.2042,178889.326,155026.0,118632.0,1967.0,1587.0,155986.0,1969.0,354302.0,282308.0,9154.0,8455.0,2088.0,1888.0,PA
+12/1/2021,15.945435082862518,-2.766971453544302,742872.9984,64467.90249,115444.5856,355213.6047,179912.4881,299504.0,244434.0,3284.0,2786.0,299504.0,3284.0,730634.0,606136.0,13514.0,12830.0,3805.0,3564.0,PA
+1/1/2022,25.242956368182057,-1.0670171626375193,739490.3001,64444.49327,116023.843,356077.7412,180468.3433,625057.0,532664.0,3876.0,3196.0,625057.0,3876.0,1115202.0,925817.0,16089.0,15501.0,4313.0,3967.0,PA
+2/1/2022,2.2337219804538493,-0.6002924365221983,735646.8183,64377.90888,116518.456,356692.2676,180896.3787,95555.0,78955.0,2635.0,2571.0,95944.0,2635.0,146591.0,117605.0,4537.0,4356.0,145.0,129.0,PA
+3/1/2022,-0.2351587665699409,1.755096957129608,729230.3888,64082.04268,116588.6986,356021.4225,180670.7619,24317.0,18717.0,1059.0,1188.0,23928.0,1059.0,42010.0,32627.0,1611.0,1538.0,0.0,0.0,PA
+4/1/2022,0.7522584817358362,-3.066751478034918,733908.5632,64264.51031,117522.2724,357996.9782,181786.8101,38866.0,30780.0,402.0,287.0,38866.0,402.0,84356.0,66519.0,1888.0,1801.0,0.0,0.0,PA
+5/1/2022,4.0806440194659785,-0.3850218672436194,735578.8498,64185.41156,117972.7105,358507.7542,182158.1562,105433.0,83653.0,353.0,243.0,87105.0,470.0,228822.0,178123.0,4648.0,4441.0,111.0,105.0,PA
+6/1/2022,2.1807066944325344,2.142571861804449,734393.905,63860.71799,117962.3437,357631.7281,181823.1022,80605.0,63270.0,582.0,372.0,98933.0,619.0,146742.0,114679.0,3577.0,3437.0,47.0,41.0,PA
+7/1/2022,2.940719018053398,-4.84253741581673,739165.4308,64225.66324,119220.6253,360609.4286,183446.3358,83892.0,67292.0,439.0,338.0,74336.0,398.0,180148.0,141101.0,3978.0,3837.0,34.0,32.0,PA
+8/1/2022,2.304951928068097,-2.449815118399622,741264.1709,64358.45834,120046.9578,362282.0488,184405.4701,95753.0,75145.0,511.0,584.0,105309.0,552.0,152316.0,116802.0,2919.0,2753.0,48.0,41.0,PA
+9/1/2022,0.4485767275239769,-1.9150554685834766,742782.9148,64441.19803,120776.3946,363667.26,185217.6531,68601.0,53211.0,497.0,347.0,68601.0,497.0,70589.0,53420.0,1698.0,1600.0,19.0,19.0,PA
+10/1/2022,0.04004542061809341,-1.6577200548219542,742953.6816,64501.10868,121458.9201,364917.0431,185960.0956,12431.0,9877.0,110.0,89.0,0.0,0.0,55166.0,41252.0,1669.0,1590.0,60.0,48.0,PA
+11/1/2022,-0.15169749586964004,-3.441013367169263,745196.2686,64740.67557,122477.053,367178.9291,187217.8021,0.0,0.0,0.0,0.0,0.0,,48504.0,36869.0,1456.0,1373.0,41.0,35.0,PA
+12/1/2022,0.14450426844819364,-3.694296448868446,747769.8724,65008.93365,123548.6223,369602.1921,188557.6361,0.0,0.0,0.0,0.0,0.0,,62529.0,49042.0,1887.0,1808.0,90.0,78.0,PA
diff --git a/reports/figures/results/PA/model.csv b/reports/figures/results/PA/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/PA/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/PA/raw.csv b/reports/figures/results/PA/raw.csv
new file mode 100644
index 0000000..74f12ac
--- /dev/null
+++ b/reports/figures/results/PA/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,643047.2985,49689.1858,105728.8831,318906.5582,155418.1359,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,643289.0159,49704.21617,105645.6861,318934.3761,155349.9524,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,644471.859,49748.56307,105625.1711,319150.5284,155373.7675,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,647224.4054,49914.08866,105861.9621,320144.0878,155776.0675,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,649578.9537,50048.84458,106033.3086,320940.1829,156082.1532,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,651012.3989,50140.46521,106113.2528,321459.6618,156253.7013,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,650495.4617,50081.93855,105875.8598,321016.7708,155957.765,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,650182.7075,50039.25124,105672.6756,320675.8386,155711.877,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,647320.9041,49999.80134,105477.004,320356.0562,155476.7391,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,646820.4965,50142.33319,105665.4888,321202.4107,155807.7392,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,645985.3071,50259.06375,105799.5089,321883.4313,156058.4733,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,648250.7334,50224.49158,105699.6686,322026.2286,155924.0692,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,649382.0765,50103.2234,105417.5234,321611.1254,155520.6645,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,653737.6637,50231.20972,105659.8745,322795.1308,155891.01,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,655906.245,50332.59365,105846.2118,323808.9436,156178.7394,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,657133.5511,50361.73811,105880.6306,324358.0586,156242.311,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,657370.688,50315.17959,105755.9667,324418.5897,156071.0969,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,658054.4757,50314.45067,105727.7216,324773.3933,156042.1312,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,658541.8842,50298.85397,105668.3085,325031.2285,155967.1297,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,659780.6007,50340.74348,105729.7144,325659.8474,156070.4333,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,661415.3608,50317.22079,105653.7917,325864.5622,155970.9961,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,663129.2063,50300.195,105591.5971,326110.1923,155891.7839,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,664551.154,50261.54931,105484.1111,326214.3921,155745.6604,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,663324.9901,50223.2396,105474.6052,326399.3886,155697.8448,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,662970.4183,50250.78661,105603.2298,327011.3089,155854.0164,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,661679.2955,50207.20576,105582.1948,327159.2405,155789.4005,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,664368.7424,50166.72831,105567.4083,327325.6961,155734.1366,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,667190.3795,50137.1224,105575.242,327561.5128,155712.3644,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,670398.9906,50137.28345,105645.5573,327990.5857,155782.8408,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,672974.19,50118.49501,105675.7599,328294.5699,155794.2549,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,676641.6288,50181.33886,105877.9896,329132.6878,156059.3285,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,680052.9054,50225.21148,106040.1829,329846.3223,156265.3944,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,681403.1551,50294.39701,106255.8193,330726.1954,156550.2163,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,683105.0716,50389.50804,106526.2986,331776.9824,156915.8066,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2014,685335.1467,50523.50884,106879.1529,333084.8067,157402.6617,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2015,689892.9716,50865.08401,107297.8009,335692.6837,158162.893,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2015,690135.4977,50888.51323,107044.433,336201.9571,157932.9624,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2015,690189.2425,50898.00255,106762.8196,336617.873,157660.8464,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2015,691085.2849,50965.82775,106604.3792,337418.6506,157570.2394,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2015,690859.7012,50950.93031,106273.8555,337670.6558,157224.8262,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2015,690942.5674,50958.77356,105992.0566,338071.8584,156950.8785,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2015,690830.7473,51023.24836,105828.8702,338847.8054,156852.175,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2015,691280.0088,51129.10294,105751.7578,339898.2683,156880.9252,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,692760.6037,51311.34487,105832.2038,341457.0525,157143.6213,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2015,693461.9879,51425.31841,105771.3623,342562.1002,157196.7614,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2015,693639.6128,51500.42257,105630.7115,343408.0646,157131.2228,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,694804.7999,51648.8625,105640.4172,344743.1067,157289.3766,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,694622.1904,51672.63599,105698.2008,345316.8096,157370.9175,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,695226.7488,51754.97052,105875.7741,346281.9072,157630.8092,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,693794.6096,51685.62345,105743.035,346231.4338,157428.7067,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2016,693350.0284,51565.38853,105506.1338,345837.7559,157071.5545,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2016,694161.2087,51538.96214,105461.1276,346071.2626,157000.1058,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,694676.4579,51490.85673,105371.7303,346157.8114,156862.587,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,696717.4257,51519.44322,105439.2555,346758.9892,156958.6828,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,698000.2044,51492.19793,105392.4988,346983.6038,156884.6648,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,699111.9506,51452.72823,105320.6925,347124.5278,156773.3729,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,698432.8377,51388.86238,105198.9133,347099.2626,156587.7121,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,699028.0719,51418.79559,105269.1285,347706.5009,156687.8446,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,698616.8906,51374.72981,105187.8267,347812.4494,156562.4613,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,696705.6264,51293.20513,105060.171,347619.6383,156353.2891,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2017,696315.6515,51323.37154,105161.078,348181.8856,156484.3706,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2017,697377.9286,51460.52108,105481.1538,349469.5627,156941.6038,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2017,697320.4469,51456.31588,105511.4238,349796.7103,156967.6767,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2017,698991.3036,51579.64729,105803.1339,350990.1637,157382.726,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2017,707441.8909,51688.79788,106257.0325,353836.6409,157945.8226,0.0,0.0,0.0,0.0,0.0,,,,,,,
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diff --git a/reports/figures/results/PA/results.csv b/reports/figures/results/PA/results.csv
new file mode 100644
index 0000000..82883e2
--- /dev/null
+++ b/reports/figures/results/PA/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-726.875
+                ,+ 2 factors in 2 blocks,  AIC                ,1563.750
+                ,+ AR(1) idiosyncratic  ,  BIC                ,1721.886
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,1628.007
+Time:           ,18:48:43               ,  EM Iterations      ,318
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.06      ,0.53                   ,0.72
+Cons3           ,.       ,-0.47      ,0.94                   ,0.04
+Cons4           ,.       ,-0.55      ,0.94                   ,0.02
+Cons5           ,.       ,-0.38      ,0.91                   ,0.12
+Cons2           ,.       ,-0.57      ,0.97                   ,0.00
+Cases5          ,0.29    ,.          ,0.02                   ,0.02
+Cases2          ,0.29    ,.          ,-0.01                  ,0.02
+Deaths5         ,0.29    ,.          ,0.36                   ,0.37
+Deaths2         ,0.28    ,.          ,0.38                   ,0.39
+Cases3          ,0.29    ,.          ,-0.05                  ,0.02
+Deaths3         ,0.29    ,.          ,0.36                   ,0.36
+Cases4          ,0.29    ,.          ,0.89                   ,0.00
+Cases1          ,0.29    ,.          ,0.52                   ,0.00
+Hosp2           ,0.30    ,.          ,0.53                   ,0.19
+Hosp1           ,0.30    ,.          ,0.54                   ,0.20
+Deaths4         ,0.27    ,.          ,0.48                   ,0.44
+Deaths1         ,0.26    ,.          ,0.47                   ,0.46
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.71       ,5.73
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.61          ,1.86
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/PA/run-info.yaml b/reports/figures/results/PA/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/PA/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/RI/df.csv b/reports/figures/results/RI/df.csv
new file mode 100644
index 0000000..d1d5e34
--- /dev/null
+++ b/reports/figures/results/RI/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.5716971470244915,0.2737808656394498,0.3200598115202634,0.3352212514622723,0.3056409199257348,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.5763220156112546,0.2909768287342773,0.34622076516084277,0.35740017414381486,0.3284283615574716,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.5671333710896798,0.32244580262326494,0.3940423779803149,0.3978869702846107,0.3700968192204258,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.6029488728458614,0.4517605320249295,0.5903554215744299,0.5638816463028846,0.5412007487077836,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.5937246542133885,0.41863716937545203,0.5401503961646191,0.5215137798216518,0.4974223974156309,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.5620097130511581,0.37267069682615744,0.47045432108289764,0.4626715246307898,0.4366544167512799,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5178914174123483,0.2134827234911747,0.22893206013560968,0.25859790025924734,0.22611076961751117,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.5225951017241934,0.23037341457169236,0.2546281160133703,0.28038266925879585,0.24849335667210817,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.4995196447313397,0.2339089855762993,0.26005608515593287,0.28503623545096735,0.2532088109423845,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.5531682153717926,0.4272999796270228,0.5536103105532197,0.5332200611769443,0.5090753893937321,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/RI/factors.csv b/reports/figures/results/RI/factors.csv
new file mode 100644
index 0000000..660406e
--- /dev/null
+++ b/reports/figures/results/RI/factors.csv
@@ -0,0 +1,132 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+12/1/2020,-13.67617518101122,3.1847010563400486,57469.72804,3984.217566,8855.907267,29390.10254,12840.12483,31118.0,31118.0,409.0,409.0,31226.0,515.0,41228.0,39078.0,0.0,0.0,438.0,438.0,RI
+1/1/2021,-12.778680466687923,-5.0686555447038595,57137.01595,4035.208098,8916.014555,29566.16452,12951.22265,24700.0,24700.0,384.0,384.0,26489.0,411.0,25598.0,24548.0,0.0,0.0,472.0,460.0,RI
+2/1/2021,-11.34268892370116,-5.335585669139245,56834.51221,4087.797263,8980.031456,29755.35804,13067.82872,10023.0,10023.0,344.0,344.0,11184.0,161.0,9422.0,6710.0,0.0,0.0,174.0,152.0,RI
+3/1/2021,-2.762639454949833,-3.230538768466995,56388.25331,4129.360567,9020.30238,29866.08086,13149.66295,10372.0,10372.0,105.0,105.0,11707.0,117.0,23551.0,20431.0,0.0,0.0,24.0,24.0,RI
+4/1/2021,-1.111249180631965,-3.58347380903922,56879.2054,4172.808814,9065.255578,29992.55939,13238.06439,10229.0,10229.0,59.0,59.0,10857.0,52.0,52318.0,49444.0,0.0,0.0,0.0,0.0,RI
+5/1/2021,-0.42915319774471206,-3.6623345253353463,57377.46656,4216.716455,9111.717863,30124.26079,13328.43432,3425.0,3425.0,40.0,40.0,3557.0,37.0,25630.0,24744.0,0.0,0.0,0.0,0.0,RI
+6/1/2021,0.32474236226757913,-3.1851718088812153,57841.63938,4258.041885,9153.111954,30239.43772,13411.15384,654.0,654.0,19.0,19.0,870.0,22.0,40652.0,40644.0,0.0,0.0,0.0,0.0,RI
+7/1/2021,0.6478404594260392,-3.84245442063005,57808.38492,4303.026515,9202.849194,30382.39529,13505.87571,1864.0,1864.0,10.0,10.0,1726.0,10.0,36450.0,4722.0,0.0,0.0,0.0,0.0,RI
+8/1/2021,-0.07015531201944653,-4.219605999154236,57810.1634,4350.216986,9257.697548,30542.40665,13607.91453,7682.0,7682.0,30.0,30.0,8278.0,30.0,196.0,170.0,0.0,0.0,32.0,24.0,RI
+9/1/2021,-1.4343472777686026,-4.752324226903216,57858.45148,4400.576159,9319.609958,30725.87066,13720.18612,9526.0,9526.0,68.0,68.0,9744.0,68.0,412.0,356.0,2.0,2.0,0.0,0.0,RI
+10/1/2021,-0.46505298631633646,-2.6381628162211195,58357.18157,4438.991933,9356.622602,30827.42448,13795.61454,7333.0,7333.0,41.0,41.0,7044.0,40.0,1996.0,1470.0,0.0,0.0,0.0,0.0,RI
+11/1/2021,-0.9317502377616121,-2.2402985801762543,58825.35251,4475.077552,9389.241399,30914.74196,13864.31895,11643.0,11643.0,54.0,54.0,12358.0,54.0,7695.0,4661.0,0.0,0.0,26.0,22.0,RI
+12/1/2021,-4.090931632139174,-2.695556288784659,59327.75726,4513.762085,9427.806902,31021.86956,13941.56899,39895.0,39895.0,142.0,142.0,39333.0,134.0,23615.0,12445.0,0.0,0.0,22.0,14.0,RI
+1/1/2022,-8.686104569431958,2.0091394000741616,58911.7121,4508.401064,9425.408823,31095.73753,13933.80989,103453.0,103453.0,270.0,270.0,112683.0,250.0,55810.0,32991.0,0.0,0.0,0.0,0.0,RI
+2/1/2022,-2.4395413577917178,2.5253156070051643,58460.58902,4500.061021,9416.684695,31147.82517,13916.74572,11682.0,11682.0,96.0,96.0,12146.0,96.0,15857.0,907.0,0.0,0.0,0.0,0.0,RI
+3/1/2022,-1.9369443177884116,5.285074805417843,57807.22216,4475.750282,9374.407563,31087.69298,13850.15785,5402.0,5402.0,82.0,82.0,5337.0,110.0,25590.0,1104.0,0.0,0.0,0.0,0.0,RI
+4/1/2022,0.36064215083785833,-0.4774066269276638,58401.67924,4484.889865,9402.09329,31258.66149,13886.98316,10432.0,10432.0,18.0,18.0,10367.0,18.0,34912.0,740.0,0.0,0.0,0.0,0.0,RI
+5/1/2022,-0.3932534091856336,2.6717946014314213,58755.00136,4475.804034,9391.503134,31301.74434,13867.30717,19979.0,19979.0,39.0,39.0,21161.0,39.0,60668.0,1600.0,0.0,0.0,0.0,0.0,RI
+6/1/2022,-0.07015531202834413,5.638438883601378,58876.7893,4449.648617,9344.962433,31223.76773,13794.61105,9409.0,9409.0,30.0,30.0,9979.0,30.0,40992.0,25924.0,0.0,0.0,0.0,0.0,RI
+7/1/2022,0.25294278513390583,-2.6904021296160145,59252.81814,4471.576835,9399.330346,31482.26186,13870.90718,7828.0,7828.0,21.0,21.0,7630.0,21.0,706.0,334.0,0.0,0.0,0.0,0.0,RI
+8/1/2022,0.5401410937075626,0.118049179384216,59414.603,4477.348162,9419.721755,31626.8212,13897.06992,5419.0,5419.0,13.0,13.0,6239.0,13.0,14336.0,11887.0,0.0,0.0,0.0,0.0,RI
+9/1/2022,0.07344384226893624,0.7205520211901664,59529.93862,4479.658328,9432.781062,31746.29895,13912.43939,8489.0,8489.0,26.0,26.0,8823.0,26.0,7888.0,2639.0,0.0,0.0,0.0,0.0,RI
+10/1/2022,0.8273394022919411,0.9942244932735073,59417.09529,4480.406239,9442.491889,31853.96489,13922.89813,1709.0,1709.0,5.0,5.0,0.0,0.0,7220.0,2719.0,0.0,0.0,0.0,0.0,RI
+11/1/2022,1.0068383451546081,-1.1547270267077216,59470.54234,4493.649661,9478.498632,32049.98504,13972.14829,0.0,0.0,0.0,0.0,0.0,,169.0,153.0,0.0,0.0,0.0,0.0,RI
+12/1/2022,1.0068383451521004,-1.4860796576134687,59550.59331,4508.889583,9518.704581,32260.09342,14027.59416,0.0,0.0,0.0,0.0,0.0,,6438.0,2675.0,0.0,0.0,11.0,4.0,RI
diff --git a/reports/figures/results/RI/model.csv b/reports/figures/results/RI/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/RI/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/RI/raw.csv b/reports/figures/results/RI/raw.csv
new file mode 100644
index 0000000..90d7c10
--- /dev/null
+++ b/reports/figures/results/RI/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,51334.00305,3364.893599,7352.269493,27177.876,10717.16309,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,51413.84669,3363.58851,7347.295333,27145.86153,10710.88384,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,51461.72538,3364.274795,7346.677882,27129.98752,10710.95268,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,51634.95532,3373.156298,7363.957001,27180.20497,10737.1133,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,51776.35802,3379.954666,7376.684988,27213.60226,10756.63965,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,51806.56373,3383.83965,7383.054274,27223.53954,10766.89392,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,51681.87193,3377.600133,7367.341161,27152.10259,10744.94129,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,51573.93479,3372.443439,7354.003327,27089.50577,10726.44677,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,51385.71868,3367.518566,7341.183521,27028.8977,10708.70209,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,51384.86617,3374.855464,7355.099113,27066.75513,10729.95458,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,51357.45032,3380.453908,7365.22422,27090.65243,10745.67813,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,51639.82789,3382.835419,7375.165779,27107.98516,10758.0012,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,51831.29687,3379.351365,7372.29296,27078.32457,10751.64432,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,52279.87686,3392.668006,7406.060996,27183.28994,10798.729,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,52236.61964,3404.197707,7435.938078,27273.93406,10840.13578,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,52118.37112,3410.842161,7455.144705,27325.43808,10865.98687,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,51922.19544,3412.346386,7463.103094,27335.76678,10875.44948,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,52052.67347,3416.942926,7477.808802,27370.87337,10894.75173,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,52167.40551,3420.516862,7490.263685,27397.79332,10910.78055,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,52341.50665,3427.991137,7511.250615,27455.95766,10939.24175,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,52402.49569,3431.001488,7522.446799,27478.37243,10953.44829,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,52469.97314,3434.439853,7534.566471,27504.22061,10969.00632,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,52514.59582,3436.385722,7543.395635,27518.12233,10979.78136,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,52488.31616,3444.810549,7557.95479,27549.39153,11002.77349,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,52530.82921,3457.725055,7582.374094,27616.65592,11040.11543,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,52498.95166,3465.716821,7596.008504,27644.6954,11061.74971,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,52513.0586,3473.879556,7610.032898,27674.23903,11083.9449,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2014,52538.33921,3482.755047,7625.632779,27709.59039,11108.42831,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2014,52594.6523,3493.6672,7645.702916,27761.24618,11139.41864,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2014,52659.94767,3503.230287,7662.830701,27802.27412,11166.11752,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2014,52810.89778,3518.484417,7692.412069,27888.51521,11210.9611,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2014,52941.87184,3532.407004,7719.082779,27964.20647,11251.56245,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2014,53258.44584,3548.109882,7749.643816,28053.99136,11297.83447,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2014,53602.72104,3565.652745,7784.219868,28158.28952,11349.96153,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2014,53988.92559,3585.972411,7824.849427,28284.43754,11410.91898,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2015,54312.10657,3617.137559,7873.810569,28485.40965,11491.03759,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2015,54295.45765,3625.699086,7873.511702,28508.24288,11499.29198,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2015,54264.08379,3633.242894,7871.070008,28523.23229,11504.38584,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2015,54410.35857,3644.932465,7877.660091,28570.88718,11522.65734,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2015,54468.08717,3650.6844,7871.476211,28572.13831,11522.21716,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2015,54549.80843,3658.036302,7868.822323,28586.10047,11526.907,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2015,54509.68829,3669.43475,7874.92387,28631.8046,11544.3989,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2015,54513.86606,3683.803484,7887.41517,28700.72118,11571.25088,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2015,54599.3281,3703.685775,7911.684691,28812.53086,11615.39467,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2015,54798.40037,3718.651355,7925.421694,28886.02165,11644.08919,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2015,54956.01769,3730.803101,7933.170113,28937.67479,11663.98128,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2015,55191.90726,3748.268815,7952.214464,29030.53664,11700.48328,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2016,54962.24808,3751.823063,7970.511555,29072.1336,11722.33462,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,54794.85093,3759.629479,7997.843255,29146.68126,11757.47273,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,54467.29351,3756.414221,8001.710459,29135.75922,11758.12468,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2016,54539.00709,3749.490318,7997.61774,29095.9935,11747.10806,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2016,54708.99013,3749.378869,8008.004975,29109.02571,11757.38384,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2016,54855.29158,3747.684185,8014.974802,29109.71922,11762.65899,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2016,55124.89845,3751.567228,8033.848919,29153.70505,11785.41615,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2016,55334.31059,3751.381251,8043.989244,29166.04391,11795.37049,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2016,55529.81684,3750.298886,8052.173497,29171.36914,11802.47238,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2016,55339.54918,3747.431273,8056.483372,29162.75393,11803.91465,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2016,55250.60577,3751.399144,8075.461559,29207.29749,11826.8607,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2016,55082.41523,3749.964291,8082.786596,29209.74699,11832.75089,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2017,54689.30252,3747.462242,8083.376025,29172.24815,11830.83827,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+2/1/2018,55063.16686,3818.319783,8331.707317,29530.26713,12150.0271,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2018,55281.27523,3825.491524,8362.637669,29586.29856,12188.12919,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2018,55290.98912,3830.549073,8388.895062,29625.97696,12219.44414,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2018,55303.73191,3835.799605,8415.516715,29667.14575,12251.31632,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2018,55357.79241,3843.902619,8448.350674,29730.37473,12292.25329,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2018,55311.89758,3852.839807,8482.986985,29800.05442,12335.82679,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2018,55273.72767,3862.294397,8518.736982,29873.73505,12381.03138,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2018,55158.91409,3866.357667,8542.551822,29905.71373,12408.90949,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2018,55297.21029,3872.179991,8570.195733,29951.29632,12442.37572,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2018,55506.76492,3883.000364,8608.870413,30035.53763,12491.87078,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2018,55727.90414,3894.633502,8649.338019,30126.06545,12543.97152,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2019,56051.79686,3901.350744,8670.116936,30203.01684,12571.46768,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2019,56281.25019,3901.517234,8676.329565,30229.21897,12577.8468,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2019,56443.90231,3897.119962,8672.368265,30219.95468,12569.48823,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2019,56379.57734,3891.328111,8665.269934,30199.7328,12556.59804,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2019,56449.44291,3894.803197,8678.785562,30251.3366,12573.58876,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2019,56517.66953,3898.167099,8692.045299,30302.04212,12590.2124,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2019,56594.9098,3898.691118,8698.960282,30330.61899,12597.6514,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2019,56734.1917,3903.497621,8715.420284,30392.46843,12618.9179,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2019,56854.2833,3906.988667,8728.937363,30444.05074,12635.92603,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2019,57010.61675,3905.481648,8731.272772,30456.62287,12636.75442,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2019,57254.31267,3909.988323,8747.039139,30516.03466,12657.02746,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2019,57383.05519,3906.678948,8745.304147,30514.37654,12651.98309,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2020,57196.75392,3910.035694,8747.513761,30394.86888,12657.54945,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2020,57053.2397,3916.26902,8756.174785,30298.16032,12672.4438,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2020,57101.07919,3935.654732,8794.236808,30303.04808,12729.89154,543.0,543.0,8.0,8.0,488.0,11.0,,,,,,
+4/1/2020,55606.98011,3967.361231,8859.789968,30401.71025,12827.1512,7968.0,7968.0,258.0,258.0,8133.0,353.0,,,,,,
+5/1/2020,53752.26168,3973.929118,8869.181928,30307.12048,12843.11105,5755.0,5755.0,452.0,452.0,6307.0,463.0,,,,,,
+6/1/2020,51771.62155,3970.527152,8856.346956,30137.16071,12826.87411,1781.0,1781.0,231.0,231.0,1885.0,150.0,,,,,,
+7/1/2020,53364.12417,3969.542279,8848.937326,29986.48024,12818.4796,2044.0,2044.0,57.0,57.0,2209.0,49.0,,,,,,
+8/1/2020,54940.89453,3968.100098,8840.539384,29833.20019,12808.63948,2724.0,2724.0,41.0,41.0,2927.0,52.0,,,,,,
+9/1/2020,56577.45961,3971.535574,8843.033518,29717.28204,12814.56909,2821.0,2821.0,66.0,66.0,2799.0,47.0,,,,,,
+10/1/2020,56949.19151,3980.904271,8858.749522,29646.06024,12839.65379,8109.0,8109.0,90.0,90.0,8126.0,91.0,5924.0,5912.0,0.0,0.0,0.0,0.0
+11/1/2020,57329.41689,3990.874572,8875.806721,29579.38555,12866.68129,22535.0,22535.0,166.0,166.0,23849.0,199.0,29538.0,27951.0,0.0,0.0,0.0,0.0
+12/1/2020,57469.72804,3984.217566,8855.907267,29390.10254,12840.12483,31118.0,31118.0,409.0,409.0,31226.0,515.0,41228.0,39078.0,0.0,0.0,438.0,438.0
+1/1/2021,57137.01595,4035.208098,8916.014555,29566.16452,12951.22265,24700.0,24700.0,384.0,384.0,26489.0,411.0,25598.0,24548.0,0.0,0.0,472.0,460.0
+2/1/2021,56834.51221,4087.797263,8980.031456,29755.35804,13067.82872,10023.0,10023.0,344.0,344.0,11184.0,161.0,9422.0,6710.0,0.0,0.0,174.0,152.0
+3/1/2021,56388.25331,4129.360567,9020.30238,29866.08086,13149.66295,10372.0,10372.0,105.0,105.0,11707.0,117.0,23551.0,20431.0,0.0,0.0,24.0,24.0
+4/1/2021,56879.2054,4172.808814,9065.255578,29992.55939,13238.06439,10229.0,10229.0,59.0,59.0,10857.0,52.0,52318.0,49444.0,0.0,0.0,0.0,0.0
+5/1/2021,57377.46656,4216.716455,9111.717863,30124.26079,13328.43432,3425.0,3425.0,40.0,40.0,3557.0,37.0,25630.0,24744.0,0.0,0.0,0.0,0.0
+6/1/2021,57841.63938,4258.041885,9153.111954,30239.43772,13411.15384,654.0,654.0,19.0,19.0,870.0,22.0,40652.0,40644.0,0.0,0.0,0.0,0.0
+7/1/2021,57808.38492,4303.026515,9202.849194,30382.39529,13505.87571,1864.0,1864.0,10.0,10.0,1726.0,10.0,36450.0,4722.0,0.0,0.0,0.0,0.0
+8/1/2021,57810.1634,4350.216986,9257.697548,30542.40665,13607.91453,7682.0,7682.0,30.0,30.0,8278.0,30.0,196.0,170.0,0.0,0.0,32.0,24.0
+9/1/2021,57858.45148,4400.576159,9319.609958,30725.87066,13720.18612,9526.0,9526.0,68.0,68.0,9744.0,68.0,412.0,356.0,2.0,2.0,0.0,0.0
+10/1/2021,58357.18157,4438.991933,9356.622602,30827.42448,13795.61454,7333.0,7333.0,41.0,41.0,7044.0,40.0,1996.0,1470.0,0.0,0.0,0.0,0.0
+11/1/2021,58825.35251,4475.077552,9389.241399,30914.74196,13864.31895,11643.0,11643.0,54.0,54.0,12358.0,54.0,7695.0,4661.0,0.0,0.0,26.0,22.0
+12/1/2021,59327.75726,4513.762085,9427.806902,31021.86956,13941.56899,39895.0,39895.0,142.0,142.0,39333.0,134.0,23615.0,12445.0,0.0,0.0,22.0,14.0
+1/1/2022,58911.7121,4508.401064,9425.408823,31095.73753,13933.80989,103453.0,103453.0,270.0,270.0,112683.0,250.0,55810.0,32991.0,0.0,0.0,0.0,0.0
+2/1/2022,58460.58902,4500.061021,9416.684695,31147.82517,13916.74572,11682.0,11682.0,96.0,96.0,12146.0,96.0,15857.0,907.0,0.0,0.0,0.0,0.0
+3/1/2022,57807.22216,4475.750282,9374.407563,31087.69298,13850.15785,5402.0,5402.0,82.0,82.0,5337.0,110.0,25590.0,1104.0,0.0,0.0,0.0,0.0
+4/1/2022,58401.67924,4484.889865,9402.09329,31258.66149,13886.98316,10432.0,10432.0,18.0,18.0,10367.0,18.0,34912.0,740.0,0.0,0.0,0.0,0.0
+5/1/2022,58755.00136,4475.804034,9391.503134,31301.74434,13867.30717,19979.0,19979.0,39.0,39.0,21161.0,39.0,60668.0,1600.0,0.0,0.0,0.0,0.0
+6/1/2022,58876.7893,4449.648617,9344.962433,31223.76773,13794.61105,9409.0,9409.0,30.0,30.0,9979.0,30.0,40992.0,25924.0,0.0,0.0,0.0,0.0
+7/1/2022,59252.81814,4471.576835,9399.330346,31482.26186,13870.90718,7828.0,7828.0,21.0,21.0,7630.0,21.0,706.0,334.0,0.0,0.0,0.0,0.0
+8/1/2022,59414.603,4477.348162,9419.721755,31626.8212,13897.06992,5419.0,5419.0,13.0,13.0,6239.0,13.0,14336.0,11887.0,0.0,0.0,0.0,0.0
+9/1/2022,59529.93862,4479.658328,9432.781062,31746.29895,13912.43939,8489.0,8489.0,26.0,26.0,8823.0,26.0,7888.0,2639.0,0.0,0.0,0.0,0.0
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+11/1/2022,59470.54234,4493.649661,9478.498632,32049.98504,13972.14829,0.0,0.0,0.0,0.0,0.0,,169.0,153.0,0.0,0.0,0.0,0.0
+12/1/2022,59550.59331,4508.889583,9518.704581,32260.09342,14027.59416,0.0,0.0,0.0,0.0,0.0,,6438.0,2675.0,0.0,0.0,11.0,4.0
diff --git a/reports/figures/results/RI/results.csv b/reports/figures/results/RI/results.csv
new file mode 100644
index 0000000..eafa1c4
--- /dev/null
+++ b/reports/figures/results/RI/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-122.226
+                ,+ 2 factors in 2 blocks,  AIC                ,354.452
+                ,+ AR(1) idiosyncratic  ,  BIC                ,512.588
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,418.710
+Time:           ,18:48:43               ,  EM Iterations      ,44
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.04      ,0.50                   ,0.75
+Cons3           ,.       ,-0.49      ,0.83                   ,0.04
+Cons4           ,.       ,-0.51      ,0.82                   ,0.02
+Cons5           ,.       ,-0.46      ,0.93                   ,0.07
+Cons2           ,.       ,-0.52      ,0.87                   ,0.00
+Cases5          ,-0.33   ,.          ,0.51                   ,0.60
+Cases2          ,-0.33   ,.          ,0.51                   ,0.60
+Deaths5         ,-0.35   ,.          ,0.38                   ,0.00
+Deaths2         ,-0.35   ,.          ,0.38                   ,0.00
+Cases3          ,-0.33   ,.          ,0.48                   ,0.62
+Deaths3         ,-0.35   ,.          ,0.01                   ,0.07
+Cases4          ,-0.28   ,.          ,0.65                   ,0.55
+Cases1          ,-0.28   ,.          ,0.49                   ,0.67
+Hosp2           ,-0.02   ,.          ,-0.01                  ,1.00
+Hosp1           ,-0.02   ,.          ,-0.01                  ,1.00
+Deaths4         ,-0.27   ,.          ,0.51                   ,0.44
+Deaths1         ,-0.27   ,.          ,0.49                   ,0.46
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.78       ,3.27
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.53          ,2.54
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/RI/run-info.yaml b/reports/figures/results/RI/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/RI/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/VA/df.csv b/reports/figures/results/VA/df.csv
new file mode 100644
index 0000000..ae5c4fa
--- /dev/null
+++ b/reports/figures/results/VA/df.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,0.5306920512712817,0.39228054810473595,0.2555318863462852,0.4948512744342686,0.3141249851246008,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2012,0.5380297008722275,0.40897626081892213,0.28427842302229855,0.5143156119679351,0.3383718600996768,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2012,0.5880234622283111,0.43991724026922296,0.3370315273431367,0.5501115579432743,0.3829820590908405,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2012,0.642838742929621,0.5684931043352216,0.5543504794652296,0.6978577873034845,0.5671788608725564,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2012,0.6286985402356524,0.5349900247764746,0.49846859115543146,0.6597534856021339,0.5196461440114984,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2012,0.6195570171988296,0.48867542596778857,0.42098716939447767,0.6069561350315322,0.45379340374267213,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2012,0.5518479417090505,0.3293907728730051,0.15308176296010356,0.4246190770016845,0.22642284597188755,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2012,0.5588860902651984,0.3458022411933145,0.18132036550640218,0.44374144110277924,0.2502442623295848,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+10/1/2012,0.5019900499531641,0.3488911762309682,0.18709818152127378,0.44758488016567155,0.2550151222993487,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+11/1/2012,0.5841350807438068,0.5414230039628324,0.5121913172934484,0.6686505356047565,0.5306319257789842,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+12/1/2012,0.5724748810721807,0.5134672684502122,0.4656319385470098,0.6368915347296497,0.4910118864058267,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1/1/2013,0.6462530251714094,0.37287328585835094,0.18487858894806014,0.4938286018115352,0.2647352044487667,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+2/1/2013,0.6065543360663405,0.2808480336259939,0.03030761070327198,0.3884724641936851,0.13352639911162206,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+3/1/2013,0.7180209518663117,0.5441236881615479,0.4746189800746173,0.690520926159822,0.5102936192454766,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+4/1/2013,0.5624347989580738,0.5154621475369321,0.4268458220263329,0.6578184540282364,0.4696721916101356,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+5/1/2013,0.530014486460852,0.4389254909098258,0.29837254888716075,0.5702188557821644,0.36060085833323086,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+6/1/2013,0.49609695939865567,0.35887154569442786,0.16396763165158806,0.47858501368860223,0.24649865574715701,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+7/1/2013,0.5715913922907208,0.4068826884814061,0.24542261539216428,0.5337958869301547,0.315490394034686,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+8/1/2013,0.5648966193719054,0.39092397110484306,0.21904873034648406,0.515654575443152,0.29302139766887886,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+9/1/2013,0.5906552577617663,0.45124917062138653,0.3212538960097348,0.5849831161788235,0.37961441999229906,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
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diff --git a/reports/figures/results/VA/factors.csv b/reports/figures/results/VA/factors.csv
new file mode 100644
index 0000000..0f7ab31
--- /dev/null
+++ b/reports/figures/results/VA/factors.csv
@@ -0,0 +1,132 @@
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+10/1/2013,1.115382732338324,0.9392050914882657,450985.3326,32946.2817,69340.30986,204971.2779,102286.5916,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2013,1.1153827323383227,0.859842410847842,451388.6789,32980.05353,69298.76523,205069.1411,102278.8188,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2013,1.115382732338326,1.1838565254474793,451596.0386,32999.49062,69227.49892,205078.2689,102226.9895,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2014,1.1153827323383265,1.0229703853215462,449782.9119,32999.5535,69200.12124,205312.0335,102199.6747,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2014,1.1153827323383212,0.08936689697671196,448563.2251,33042.82541,69263.42121,205814.0508,102306.2466,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2014,1.1153827323383234,1.1247925813291264,446712.4036,33039.26158,69228.61629,206023.7413,102267.8779,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2014,1.1153827323383254,1.092692034737092,447563.9628,33037.64121,69197.99108,206244.6387,102235.6323,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2014,1.1153827323383254,0.9483573514548901,448508.0824,33043.0889,69182.26955,206508.816,102225.3585,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2014,1.1153827323383265,0.5312075298412434,449715.0483,33068.08366,69207.55083,206894.5019,102275.6345,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2014,1.1153827323383243,0.8154553744148395,450418.4514,33080.51491,69206.60917,207200.9804,102287.1241,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2014,1.1153827323383236,-0.34932898229252163,451854.2892,33146.79305,69318.35584,207844.4162,102465.1489,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2014,1.1153827323383196,-0.06471070712352628,453119.1923,33200.53681,69403.8933,208409.2274,102604.4301,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+11/1/2014,1.1153827323383252,-0.7774447049060355,456183.8898,33358.66522,69680.78915,209857.0858,103039.4544,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2014,1.1153827323383216,-1.3210278016329413,458187.6821,33472.11968,69891.00447,210797.9405,103363.1241,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2015,1.1153827323383234,-2.9227768439290576,461729.5662,33748.81667,70170.54604,212273.0363,103919.3627,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+8/1/2015,1.1153827323383205,0.47814505968843923,469982.7278,34272.73255,69199.55144,213720.4746,103472.284,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2015,1.1153827323383245,-0.5908325159749898,472152.9882,34444.05987,69257.95583,214530.9762,103702.0157,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+11/1/2015,1.115382732338321,0.932104400165322,472353.3358,34669.06819,69137.62737,215418.7109,103806.6956,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2015,1.1153827323383216,-0.08928563989925342,472947.6141,34817.87454,69149.75836,216088.0556,103967.6329,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2016,1.115382732338321,0.5485908394404877,472632.6641,34859.68869,69177.97611,216556.0568,104037.6648,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2016,1.115382732338323,-0.26292410277578426,472853.2961,34941.01238,69284.59348,217269.5221,104225.6059,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2016,1.115382732338326,1.8609947735556793,471689.0057,34919.88868,69188.16015,217345.5997,104108.0488,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2016,1.115382732338323,2.579724915072779,471943.5,34864.2401,69023.62675,217205.6288,103887.8669,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2016,1.1153827323383245,1.2729435914868001,473050.0976,34871.89475,68984.6793,217459.0534,103856.5741,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2016,1.1153827323383245,1.5821451336115433,473953.1557,34864.79482,68916.72666,217619.7744,103781.5215,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2016,1.115382732338325,0.5118451426395404,475032.3361,34909.56457,68951.42874,218103.7825,103860.9933,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2016,1.1153827323383234,1.2995652715616792,475595.1674,34916.45429,68911.41472,218350.7387,103827.869,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2016,1.1153827323383254,1.475922489988284,476042.4657,34914.97298,68855.05236,218544.6894,103770.0253,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2016,1.1153827323383219,1.8234470430792702,477150.7008,34896.83736,68766.05653,218633.5961,103662.8939,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2016,1.1153827323383245,0.5101971193721198,479125.4714,34942.33301,68802.58714,219120.638,103744.9202,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2016,1.1153827323383259,1.5542002844454457,480406.9817,34937.48631,68740.10874,219291.5433,103677.5951,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2017,1.1153827323383236,1.3211764741217338,478430.0369,34897.24847,68747.1381,218934.6871,103644.3866,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2017,1.115382732338326,-0.24144310845527817,477501.2472,34932.91971,68903.25534,219054.6083,103836.175,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2017,1.1153827323383265,-1.7350727161190835,477568.9969,35041.3934,69202.88688,219631.1557,104244.2803,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2017,1.1153827323383232,0.2601362889214258,477731.2188,35053.58854,69312.23836,219604.422,104365.8269,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2017,1.1153827323383256,-1.5191788386663538,479077.1326,35152.63667,69593.16331,220122.0037,104745.8,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2017,1.1153827323383227,-0.61275076563597,479829.0413,35208.09904,69787.74276,220366.7249,104995.8418,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2017,1.1153827323383227,-1.1066259415277133,481419.5058,35288.11026,70030.87936,220765.2208,105318.9896,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2017,1.1153827323383247,0.43110887001586695,481989.3553,35293.4061,70125.51881,220696.5587,105418.9249,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2017,1.1153827323383196,1.4355841660357118,481890.3945,35249.9507,70122.78033,220323.6658,105372.731,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2017,1.1153827323383225,-0.19395669743642263,483211.437,35286.37824,70278.51749,220450.5945,105564.8957,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2017,1.1153827323383243,-0.04950007348265956,484437.8813,35316.0855,70420.61003,220535.853,105736.6955,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2017,1.115382732338323,-0.18934330973988742,485760.1421,35352.96317,70576.74332,220666.1993,105929.7065,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2018,1.115382732338325,1.2075831558565246,487101.3642,35374.27892,70544.09381,220686.3695,105918.3727,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2018,1.1153827323383245,0.41137579344923225,488973.132,35434.57995,70589.63995,220950.4297,106024.2199,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2018,1.1153827323383232,-0.32529796166486524,491341.288,35531.14301,70707.71129,221441.031,106238.8543,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2018,1.115382732338323,0.07904239686959386,492205.0907,35607.96879,70786.75408,221808.9973,106394.7229,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2018,1.1153827323383219,0.0470753715729359,493092.868,35686.47386,70869.41854,222187.8495,106555.8924,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2018,1.115382732338325,-0.4846309087482977,494346.6861,35791.42702,71004.82842,222731.7042,106796.2554,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2018,1.1153827323383247,-0.634713346629093,495497.6003,35904.08638,71155.67669,223323.7407,107059.7631,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2018,1.1153827323383199,-0.7245581598286951,496715.0529,36021.51727,71316.10477,223945.6416,107337.622,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2018,1.1153827323383234,0.2889936712904332,497239.1436,36088.57989,71377.02551,224254.7224,107465.6054,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2018,1.115382732338321,-0.03559969438293581,497076.4631,36171.94864,71470.47483,224665.5466,107642.4235,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2018,1.1153827323383232,-0.9613908830791935,497557.3175,36301.9452,71656.20498,225366.2051,107958.1502,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2018,1.1153827323383256,-1.1036873919216517,498142.8742,36439.52253,71856.94232,226113.9911,108296.4648,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2019,1.115382732338324,-0.4540062969485268,500482.4565,36529.64234,72008.7572,226753.1605,108538.4072,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2019,1.115382732338324,0.7628070594133504,501979.5809,36558.38663,72039.62277,227011.2357,108598.0247,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2019,1.115382732338324,1.6108577332576703,502883.236,36544.25135,71986.10235,227002.7092,108530.3765,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2019,1.1153827323383234,1.8732097597854058,503105.7873,36516.88225,71906.66181,226911.52,108423.5744,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2019,1.115382732338327,0.15710449845519836,504522.7995,36576.37422,71998.35846,227359.7786,108574.7706,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2019,1.1153827323383212,0.18113819677438942,505924.046,36634.78419,72087.96107,227801.2007,108722.7907,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2019,1.1153827323383223,0.7101556710699933,508798.6024,36666.44716,72124.98713,228076.1365,108791.4873,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2019,1.1153827323383245,-0.07995107236058163,512227.0245,36738.33824,72241.18936,228601.1635,108979.5881,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2019,1.115382732338323,0.16693435720902472,515479.9604,36797.82137,72333.01877,229048.9034,109130.9082,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2019,1.1153827323383232,1.093843989020681,516044.5137,36810.16032,72332.24358,229202.9891,109142.4794,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2019,1.1153827323383236,-0.015170664161732184,517401.8654,36879.11692,72442.78184,229709.4283,109321.9817,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2019,1.1153827323383256,1.4317383834372959,517722.7821,36874.27756,72408.43086,229755.9962,109282.7987,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2020,1.1153824144073652,-0.36606237578132905,515929.4779,37051.68824,72464.80957,228524.2705,109516.5729,0.0,0.0,0.0,0.0,0.0,0.0,14.0,10.0,1.0,1.0,0.0,0.0,VA
+2/1/2020,1.1153797830587526,-0.8883278868040811,514522.4633,37255.91969,72574.51757,227464.962,109830.4973,0.0,0.0,0.0,0.0,0.0,0.0,90.0,90.0,16.0,16.0,0.0,0.0,VA
+3/1/2020,1.0435557394924926,-3.2960220276734917,514841.0092,37585.42825,72927.95333,227168.0322,110513.4267,1020.0,1020.0,27.0,27.0,1249.0,27.0,8424.0,8402.0,2232.0,2230.0,116.0,114.0,VA
+4/1/2020,0.0799357800137841,-5.515629626254016,507070.1912,38033.69105,73509.65042,227571.5655,111543.3717,14826.0,14160.0,525.0,516.0,14598.0,525.0,35807.0,33869.0,5370.0,5352.0,1203.0,1102.0,VA
+5/1/2020,-0.8911040405303439,-0.906781453728331,496035.9332,38241.57476,73625.53956,226527.0843,111867.1294,28761.0,27319.0,823.0,731.0,28760.0,823.0,53732.0,52034.0,4519.0,4486.0,502.0,444.0,VA
+6/1/2020,-0.1520315733772648,0.9139973506107983,483811.6952,38352.85247,73556.74246,224920.8098,111909.5949,18180.0,17625.0,388.0,384.0,18180.0,388.0,34999.0,33901.0,2273.0,2253.0,56.0,48.0,VA
+7/1/2020,-0.7757036724463602,0.48011974445227645,493174.1873,38486.54476,73532.76103,223460.6081,112019.2908,27101.0,26377.0,411.0,409.0,27101.0,411.0,60566.0,58143.0,4133.0,4108.0,127.0,120.0,VA
+8/1/2020,-1.0261321725865082,0.5698947526138824,502423.2496,38614.94825,73500.34258,221983.0478,112115.2609,30706.0,28833.0,406.0,380.0,30706.0,406.0,59857.0,56095.0,3523.0,3473.0,142.0,127.0,VA
+9/1/2020,-0.8146084842762749,-0.3110405089734618,512244.183,38790.12749,73558.29966,220785.1236,112348.3824,27677.0,25280.0,628.0,548.0,27677.0,628.0,53670.0,48996.0,2455.0,2393.0,184.0,158.0,VA
+10/1/2020,-1.1799573616455745,-1.3804470106109206,515194.7191,39022.95608,73726.16019,219919.9866,112749.0566,32919.0,27089.0,446.0,403.0,32919.0,446.0,68808.0,56934.0,3345.0,3198.0,244.0,190.0,VA
+11/1/2020,-2.834823537958724,-1.4783828591334982,518222.2879,39261.61499,73905.16511,219088.7408,113166.7055,56645.0,43551.0,408.0,325.0,56645.0,408.0,128807.0,99952.0,5513.0,5115.0,679.0,508.0,VA
+12/1/2020,-6.676937793912753,1.5404352599679498,519083.0138,39336.06777,73776.28177,217350.8694,113112.2604,111749.0,82192.0,970.0,714.0,111749.0,970.0,237848.0,178806.0,8224.0,7564.0,1814.0,1400.0,VA
+1/1/2021,-9.704555610956696,-4.844552544255585,521084.8885,39823.13049,74238.87265,218458.7149,114061.9217,155195.0,111023.0,1432.0,1220.0,155195.0,1432.0,290423.0,212141.0,8352.0,7640.0,1972.0,1470.0,VA
+2/1/2021,-3.852752133640511,-5.098416408119627,523326.1037,40326.08599,74734.28883,219664.9729,115060.301,71271.0,49463.0,2088.0,1677.0,71271.0,2088.0,125841.0,89988.0,3968.0,3615.0,174.0,141.0,VA
+3/1/2021,-1.8777515791592516,-3.1362550291367994,524197.2332,40720.41766,75032.42925,220293.6893,115752.7809,42926.0,29843.0,1700.0,1268.0,42926.0,1700.0,87575.0,57803.0,3028.0,2775.0,35.0,30.0,VA
+4/1/2021,-1.7162457545924843,-3.4692795040094664,524588.4323,41133.51074,75369.92945,221040.722,116503.3818,40614.0,28732.0,518.0,454.0,40614.0,518.0,74420.0,47711.0,3048.0,2681.0,53.0,43.0,VA
+5/1/2021,0.002938992614895941,-3.5462667626348283,525089.808,41551.28942,75720.35116,221828.16,117271.5898,15948.0,13062.0,416.0,383.0,15948.0,416.0,29248.0,18530.0,1447.0,1332.0,11.0,8.0,VA
+6/1/2021,0.7806847364099077,-3.1036603066860082,525322.1085,41943.78042,76029.0322,222495.8426,117972.7693,4802.0,3966.0,229.0,196.0,4802.0,229.0,12067.0,7811.0,682.0,617.0,0.0,0.0,VA
+7/1/2021,0.051159224442250295,-3.720655413466183,525998.8274,42372.46306,76407.36813,223369.7386,118779.7953,15290.0,9232.0,118.0,102.0,14044.0,117.0,40492.0,25853.0,1709.0,1543.0,22.0,20.0,VA
+8/1/2021,-3.821330728759073,-4.075755747131831,526986.019,42822.98787,76828.43255,224370.5129,119651.3918,70805.0,45126.0,309.0,263.0,72051.0,310.0,151256.0,98135.0,4851.0,4333.0,282.0,232.0,VA
+9/1/2021,-5.879856555793978,-4.576013982031876,528390.35,43304.80361,77308.36073,225544.8043,120613.1429,100341.0,65103.0,908.0,768.0,100341.0,908.0,180898.0,119638.0,5180.0,4694.0,575.0,467.0,VA
+10/1/2021,-2.9284998234997133,-2.603726963009481,530790.2973,43669.20897,77582.03594,226119.349,121251.2307,57995.0,38155.0,1157.0,919.0,57995.0,1157.0,112237.0,73204.0,3326.0,3034.0,147.0,118.0,VA
+11/1/2021,-1.9760898173765677,-2.2343253952973816,532937.4506,44010.85025,77819.67005,226591.4763,121830.5133,44345.0,27782.0,803.0,663.0,44345.0,803.0,92676.0,58446.0,2768.0,2508.0,182.0,141.0,VA
+12/1/2021,-9.299131459551278,-2.6617085336756126,535418.7528,44378.20281,78106.96645,227210.7269,122485.1693,149402.0,92314.0,877.0,674.0,149402.0,877.0,361094.0,236222.0,8115.0,7647.0,658.0,576.0,VA
+1/1/2022,-28.663153960858345,0.5817556323398669,534385.6565,44305.23818,78285.83845,227809.648,122591.0766,427118.0,296428.0,630.0,494.0,427132.0,630.0,810069.0,573563.0,9740.0,9314.0,2001.0,1675.0,VA
+2/1/2022,-5.460249275585017,1.075816338591015,533003.8776,44203.22355,78409.95579,228248.3622,122613.1793,94306.0,65937.0,2554.0,2036.0,94292.0,2554.0,166903.0,112143.0,2187.0,2089.0,149.0,104.0,VA
+3/1/2022,-0.9050095987177733,3.6653267879237994,529736.4842,43944.6386,78251.68355,227863.8694,122196.3222,28949.0,26637.0,921.0,846.0,28949.0,921.0,51381.0,37766.0,717.0,677.0,0.0,0.0,VA
+4/1/2022,-1.153877814816449,-1.7057404494473287,532156.4127,44014.70842,78675.19996,229172.6375,122689.9084,32556.0,24803.0,544.0,478.0,32567.0,544.0,70819.0,48865.0,537.0,501.0,0.0,0.0,VA
+5/1/2022,-4.899290017199908,1.2467568888820262,532403.1071,43906.07114,78776.89425,229543.3701,122682.9654,86309.0,58678.0,153.0,134.0,86298.0,153.0,84716.0,57220.0,778.0,717.0,0.0,0.0,VA
+6/1/2022,-4.563446376582998,4.028754151690348,530598.4034,43630.29503,78574.0252,229025.4793,122204.3202,81475.0,55142.0,209.0,182.0,81475.0,209.0,41160.0,29846.0,924.0,867.0,12.0,8.0,VA
+7/1/2022,-5.212947069733461,-3.740505002751643,535278.3833,43826.16676,79217.9375,230975.1115,123044.1043,90861.0,60052.0,339.0,254.0,85485.0,320.0,143365.0,97127.0,2144.0,1966.0,69.0,53.0,VA
+8/1/2022,-4.467479206782915,-1.1072277853793135,538020.6852,43863.71719,79575.17027,232088.7484,123438.8875,80014.0,53111.0,479.0,378.0,85390.0,498.0,138274.0,90713.0,1944.0,1788.0,66.0,46.0,VA
+9/1/2022,-2.2722883098790327,-0.5343915924435598,540334.5845,43867.47507,79869.33566,233018.0059,123736.8107,48602.0,31186.0,450.0,346.0,47254.0,433.0,46401.0,29588.0,759.0,707.0,26.0,21.0,VA
+10/1/2022,0.6225868981555136,-0.26882048097397004,541696.3696,43856.06991,80133.8303,233860.189,123989.9002,7174.0,4505.0,91.0,68.0,0.0,0.0,31769.0,20142.0,644.0,604.0,15.0,13.0,VA
+11/1/2022,1.117058996093227,-2.2663419180369084,544562.8915,43967.06455,80620.62437,235350.7918,124587.6889,0.0,0.0,0.0,0.0,0.0,,30932.0,18725.0,688.0,645.0,0.0,0.0,VA
+12/1/2022,1.114666809400993,-2.566350852940505,547669.479,44097.62117,81142.8663,236944.7716,125240.4875,0.0,0.0,0.0,0.0,0.0,,60181.0,35493.0,1156.0,1079.0,0.0,0.0,VA
diff --git a/reports/figures/results/VA/model.csv b/reports/figures/results/VA/model.csv
new file mode 100644
index 0000000..e36e891
--- /dev/null
+++ b/reports/figures/results/VA/model.csv
@@ -0,0 +1,29 @@
+             Model Specification: Dynamic Factor Model
+Model: ,Dynamic Factor Model   ,  # of observed variables:   ,17
+       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
+       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
+Sample:,2012-02-01 00:00:00    ,  Standardize variables:     ,True
+       ,- 2022-12-01 00:00:00  ,                             ,
+Observed variables / factor loadings
+Dep. variable,Pandemic,Consumption
+GDP          ,        ,X
+Cons3        ,        ,X
+Cons4        ,        ,X
+Cons5        ,        ,X
+Cons2        ,        ,X
+Cases5       ,X       ,
+Cases2       ,X       ,
+Deaths5      ,X       ,
+Deaths2      ,X       ,
+Cases3       ,X       ,
+Deaths3      ,X       ,
+Cases4       ,X       ,
+Cases1       ,X       ,
+Hosp2        ,X       ,
+Hosp1        ,X       ,
+Deaths4      ,X       ,
+Deaths1      ,X       ,
+  Factor blocks:
+   block   ,order
+Pandemic   ,1
+Consumption,1
diff --git a/reports/figures/results/VA/raw.csv b/reports/figures/results/VA/raw.csv
new file mode 100644
index 0000000..ada9d0d
--- /dev/null
+++ b/reports/figures/results/VA/raw.csv
@@ -0,0 +1,132 @@
+Time,GDP,Cons3,Cons4,Cons5,Cons2,Cases5,Cases2,Deaths5,Deaths2,Cases3,Deaths3,Cases4,Cases1,Hosp2,Hosp1,Deaths4,Deaths1
+2/1/2012,443238.234,31740.70353,68754.0141,200366.5511,100494.7176,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2012,442745.676,31785.45646,68764.80172,200465.1075,100550.2582,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2012,443234.4675,31848.84412,68816.18035,200681.7803,100665.0245,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2012,444802.8818,31989.80325,69035.18489,201387.271,101024.9881,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2012,446097.2479,32111.09885,69211.61638,201968.6773,101322.7152,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2012,447214.1902,32204.72395,69328.39549,202376.0193,101533.1194,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2012,446990.8235,32201.782,69237.60513,202177.2004,101439.3871,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2012,446906.9228,32208.80363,69168.77534,202042.0855,101377.579,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2012,445697.9582,32217.70282,69104.47934,201919.8195,101322.1822,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2012,446113.1377,32343.78468,69291.72175,202532.3861,101635.5064,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2012,446298.0525,32453.25221,69443.30122,203040.7682,101896.5534,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2013,447945.0723,32476.89848,69377.02779,203072.2299,101853.9263,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2013,448807.9798,32444.22806,69191.10087,202752.2012,101635.3289,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2013,451899.0725,32572.8547,69349.43033,203440.4294,101922.285,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2013,451885.3027,32684.32662,69470.99382,204021.2725,102155.3204,0.0,0.0,0.0,0.0,0.0,,,,,,,
+5/1/2013,451222.8492,32748.8945,69492.84724,204309.3176,102241.7417,0.0,0.0,0.0,0.0,0.0,,,,,,,
+6/1/2013,449884.7157,32764.10677,69410.29162,204289.7716,102174.3984,0.0,0.0,0.0,0.0,0.0,,,,,,,
+7/1/2013,450053.5746,32809.0077,69391.02058,204455.7278,102200.0283,0.0,0.0,0.0,0.0,0.0,,,,,,,
+8/1/2013,450088.9568,32844.08761,69351.29544,204560.7986,102195.383,0.0,0.0,0.0,0.0,0.0,,,,,,,
+9/1/2013,450638.4047,32916.61743,69390.86657,204899.3353,102307.484,0.0,0.0,0.0,0.0,0.0,,,,,,,
+10/1/2013,450985.3326,32946.2817,69340.30986,204971.2779,102286.5916,0.0,0.0,0.0,0.0,0.0,,,,,,,
+11/1/2013,451388.6789,32980.05353,69298.76523,205069.1411,102278.8188,0.0,0.0,0.0,0.0,0.0,,,,,,,
+12/1/2013,451596.0386,32999.49062,69227.49892,205078.2689,102226.9895,0.0,0.0,0.0,0.0,0.0,,,,,,,
+1/1/2014,449782.9119,32999.5535,69200.12124,205312.0335,102199.6747,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2014,448563.2251,33042.82541,69263.42121,205814.0508,102306.2466,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2014,446712.4036,33039.26158,69228.61629,206023.7413,102267.8779,0.0,0.0,0.0,0.0,0.0,,,,,,,
+4/1/2014,447563.9628,33037.64121,69197.99108,206244.6387,102235.6323,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+6/1/2014,449715.0483,33068.08366,69207.55083,206894.5019,102275.6345,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2014,456183.8898,33358.66522,69680.78915,209857.0858,103039.4544,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2015,461729.5662,33748.81667,70170.54604,212273.0363,103919.3627,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2016,472632.6641,34859.68869,69177.97611,216556.0568,104037.6648,0.0,0.0,0.0,0.0,0.0,,,,,,,
+2/1/2016,472853.2961,34941.01238,69284.59348,217269.5221,104225.6059,0.0,0.0,0.0,0.0,0.0,,,,,,,
+3/1/2016,471689.0057,34919.88868,69188.16015,217345.5997,104108.0488,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+11/1/2016,479125.4714,34942.33301,68802.58714,219120.638,103744.9202,0.0,0.0,0.0,0.0,0.0,,,,,,,
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+1/1/2017,478430.0369,34897.24847,68747.1381,218934.6871,103644.3866,0.0,0.0,0.0,0.0,0.0,,,,,,,
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diff --git a/reports/figures/results/VA/results.csv b/reports/figures/results/VA/results.csv
new file mode 100644
index 0000000..5e7236c
--- /dev/null
+++ b/reports/figures/results/VA/results.csv
@@ -0,0 +1,38 @@
+                         Dynamic Factor Results
+Dep. Variable:  ,"GDP", and 16 more     ,  No. Observations:  ,131
+Model:          ,Dynamic Factor Model   ,  Log Likelihood     ,-708.236
+                ,+ 2 factors in 2 blocks,  AIC                ,1526.471
+                ,+ AR(1) idiosyncratic  ,  BIC                ,1684.607
+Date:           ,Sat, 26 Oct 2024       ,  HQIC               ,1590.729
+Time:           ,18:48:45               ,  EM Iterations      ,408
+Sample:         ,02-01-2012             ,                     ,
+                ,- 12-01-2022           ,                     ,
+Covariance Type:,Not computed           ,                     ,
+                      Observation equation:
+Factor loadings:,Pandemic,Consumption,   idiosyncratic: AR(1),var.
+GDP             ,.       ,-0.12      ,0.54                   ,0.70
+Cons3           ,.       ,-0.49      ,0.92                   ,0.04
+Cons4           ,.       ,-0.54      ,0.93                   ,0.02
+Cons5           ,.       ,-0.37      ,0.89                   ,0.16
+Cons2           ,.       ,-0.56      ,0.97                   ,0.00
+Cases5          ,-0.31   ,.          ,0.01                   ,0.00
+Cases2          ,-0.31   ,.          ,0.70                   ,0.00
+Deaths5         ,-0.24   ,.          ,0.11                   ,0.74
+Deaths2         ,-0.24   ,.          ,0.15                   ,0.74
+Cases3          ,-0.31   ,.          ,-0.25                  ,0.00
+Deaths3         ,-0.24   ,.          ,0.11                   ,0.74
+Cases4          ,-0.31   ,.          ,0.48                   ,0.03
+Cases1          ,-0.31   ,.          ,0.59                   ,0.02
+Hosp2           ,-0.31   ,.          ,0.55                   ,0.28
+Hosp1           ,-0.31   ,.          ,0.56                   ,0.27
+Deaths4         ,-0.28   ,.          ,0.60                   ,0.28
+Deaths1         ,-0.28   ,.          ,0.58                   ,0.28
+      Transition: Factor block 0
+        ,L1.Pandemic,   error variance
+Pandemic,0.60       ,6.87
+         Transition: Factor block 1
+           ,L1.Consumption,   error variance
+Consumption,0.55          ,2.13
+
+Warnings:
+[1] Covariance matrix not calculated.
diff --git a/reports/figures/results/VA/run-info.yaml b/reports/figures/results/VA/run-info.yaml
new file mode 100644
index 0000000..7a81bae
--- /dev/null
+++ b/reports/figures/results/VA/run-info.yaml
@@ -0,0 +1,45 @@
+diff_cols: []
+factor_map:
+  Cases1: !!python/tuple
+  - Pandemic
+  Cases2: !!python/tuple
+  - Pandemic
+  Cases3: !!python/tuple
+  - Pandemic
+  Cases4: !!python/tuple
+  - Pandemic
+  Cases5: !!python/tuple
+  - Pandemic
+  Cons2: !!python/tuple
+  - Consumption
+  Cons3: !!python/tuple
+  - Consumption
+  Cons4: !!python/tuple
+  - Consumption
+  Cons5: !!python/tuple
+  - Consumption
+  Deaths1: !!python/tuple
+  - Pandemic
+  Deaths2: !!python/tuple
+  - Pandemic
+  Deaths3: !!python/tuple
+  - Pandemic
+  Deaths4: !!python/tuple
+  - Pandemic
+  Deaths5: !!python/tuple
+  - Pandemic
+  GDP: !!python/tuple
+  - Consumption
+  Hosp1: !!python/tuple
+  - Pandemic
+  Hosp2: !!python/tuple
+  - Pandemic
+global_multiplier: 0
+logdiff_cols:
+- GDP
+- Cons3
+- Cons4
+- Cons5
+- Cons2
+maxiter: 10000
+non_stationary_cols: null
diff --git a/reports/figures/results/factors.csv b/reports/figures/results/factors.csv
new file mode 100644
index 0000000..e48568d
--- /dev/null
+++ b/reports/figures/results/factors.csv
@@ -0,0 +1,1442 @@
+Time,Factor_Pandemic,Factor_Consumption,Factor_GDP,Factor_Cons3,Factor_Cons4,Factor_Cons5,Factor_Cons2,Factor_Cases5,Factor_Cases2,Factor_Deaths5,Factor_Deaths2,Factor_Cases3,Factor_Deaths3,Factor_Cases4,Factor_Cases1,Factor_Hosp2,Factor_Hosp1,Factor_Deaths4,Factor_Deaths1,State
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+3/1/2012,-1.1712219382075233,-0.0254673278052625,295976.4376,22726.87622,43088.33409,136033.213,65815.23537,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2012,-1.1718241837892656,-0.4166901651334374,296195.7022,22749.68458,43109.43331,136209.1536,65859.15126,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2012,-1.171859748865512,-2.142386146720568,297136.4557,22827.90665,43235.54277,136716.8652,66063.49119,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2012,-1.171861854185034,-1.6554602989055565,297893.9661,22892.0605,43334.97152,137140.3855,66227.08216,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2012,-1.1718619788309756,-0.9947863339800987,298823.2404,22936.48486,43397.04899,137445.7172,66333.59234,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2012,-1.171861986210733,1.2074408510514094,298856.2578,22912.21584,43329.23641,137339.2622,66241.51886,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2012,-1.1718619866476587,1.008902175483796,298981.3606,22895.17728,43275.23685,137275.8993,66170.48885,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2012,-1.1718619866735267,0.991402857044316,298387.7152,22879.60507,43224.13924,137221.0965,66103.82709,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2012,-1.171861986675058,-1.6140322597284982,298880.9152,22947.30094,43330.40119,137665.6081,66277.79324,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+1/1/2013,-1.171861986675154,0.7143046592154714,300168.1765,23035.43612,43348.25755,138198.3291,66383.78462,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2013,-1.1718619866751554,1.9930319507938024,300591.7593,23027.65036,43207.53753,138117.3633,66235.27028,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+5/1/2013,-1.1718619866751536,-0.1034670058973175,304105.0391,23289.99604,43322.28657,139588.3081,66612.34036,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2013,-1.1718619866751538,1.008781049770308,304227.4865,23316.02916,43246.3844,139710.5544,66562.46295,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2013,-1.1718619866751523,0.3712314662412672,305894.7846,23363.13811,43209.995,139959.2024,66573.17422,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2013,-1.1718619866751552,0.6066844065311578,307467.0476,23403.21151,43160.93653,140165.7965,66564.18087,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2013,-1.1718619866751538,-0.2002400100844147,309387.4938,23469.94092,43161.27523,140532.1024,66631.24077,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+1/1/2016,-1.1718619866751536,0.0219576897746698,327847.0434,25645.06579,41832.19432,151887.0798,67477.26011,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+8/1/2016,-1.1718619866751545,0.7965667342074167,330907.1225,26054.60491,41532.69333,153732.9539,67587.29824,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2016,-1.1718619866751547,0.9761792601343708,332237.1957,26105.32734,41479.12582,153951.7001,67584.45316,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
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+1/1/2017,-1.1718619866751536,0.814923219336896,332411.2654,26323.81635,41318.59853,154710.7035,67642.41487,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2017,-1.1718619866751538,-0.748240864620012,333101.1967,26427.78883,41375.59597,155034.4006,67803.3848,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2017,-1.1718619866751538,-2.2422032088824078,334484.9875,26586.76264,41518.80829,155681.0363,68105.57093,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2017,-1.1718619866751527,-0.2367571673658297,333517.7725,26672.56141,41547.92076,155899.657,68220.48217,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2017,-1.1718619866751538,-2.017346328903107,333378.9911,26824.3011,41679.94936,156504.2394,68504.25046,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2017,-1.171861986675154,-1.1042073397009255,332827.5764,26942.73024,41760.28918,156914.6624,68703.01942,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2017,-1.1718619866751554,-1.5956179380693096,332636.729,27079.8533,41869.72878,157434.2967,68949.58208,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2017,-1.1718619866751547,-0.0494604137754886,331744.0673,27159.44187,41890.47974,157620.1697,69049.92161,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2017,-1.1718619866751545,0.9616977388556308,330398.9069,27201.05455,41853.27868,157587.3313,69054.33323,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2017,-1.1718619866751545,-0.6692020893645583,331746.0556,27303.91881,41910.85002,157910.775,69214.76883,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2017,-1.1718619866751547,-0.5207593332360836,333026.882,27401.34956,41960.39473,158203.643,69361.74429,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2017,-1.1718619866751532,-0.6575321300301222,334372.2191,27504.11292,42018.41466,158528.1361,69522.52758,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2018,-1.171861986675155,0.6857262057996163,335830.9271,27532.39042,42022.49554,158584.3455,69554.8782,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2018,-1.1718619866751547,-0.1088585158734872,337652.2184,27590.94077,42073.01587,158815.5633,69663.94115,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2018,-1.1718619866751545,-0.843759338713566,339814.2461,27677.68169,42166.67285,159209.4556,69844.33135,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2018,-1.1718619866751552,-0.4343185730784811,340651.6773,27749.00915,42236.97695,159515.0387,69985.95523,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2018,-1.171861986675154,-0.4625526593571707,341504.78,27821.60121,42309.35304,159828.293,70130.91574,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2018,-1.1718619866751538,-0.9920715008413972,342610.6705,27914.77792,42413.14844,160260.1161,70327.8802,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2018,-1.1718619866751534,-1.1388735396395502,343593.9013,28013.94154,42526.11829,160726.5235,70540.00603,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2018,-1.1718619866751558,-1.225312539792173,344622.9563,28116.80891,42644.7746,161214.3555,70761.52206,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2018,-1.1718619866751547,-0.2051369041418651,345170.4096,28180.32794,42703.86158,161476.8756,70884.12055,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2018,-1.171861986675155,-0.5272190648414683,345115.5852,28256.53667,42782.32223,161812.5023,71038.78239,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2018,-1.1718619866751532,-1.452306182291076,345507.4379,28369.14627,42915.97457,162356.7941,71285.03672,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2018,-1.171861986675154,-1.5915798269607293,345971.961,28487.67329,43058.60117,162935.013,71546.18271,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2019,-1.1718619866751534,-0.02376025134341,345641.3127,28554.89385,43098.47491,163272.3648,71653.28464,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+2/1/2019,-1.1718619866751545,1.1952598545051707,344731.6133,28574.14228,43066.03082,163335.4864,71640.09675,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+3/1/2019,-1.1718619866751532,2.0443497866616056,343422.6035,28559.88962,42983.35663,163207.3088,71543.17773,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+4/1/2019,-1.1718619866751534,2.305790498638025,343834.7908,28535.31305,42885.49827,163020.4044,71420.75059,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+5/1/2019,-1.1718619866751545,0.5829817513165556,345062.324,28578.62414,42889.89677,163221.5127,71468.46781,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+6/1/2019,-1.1718619866751545,0.6055684041004695,346278.7101,28621.09428,42893.11866,163417.8833,71514.16746,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+7/1/2019,-1.1718619866751538,1.134747365860839,347868.3973,28642.67505,42865.16522,163495.0815,71507.80242,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+8/1/2019,-1.171861986675154,0.3407913017241397,349837.4375,28695.68639,42884.35695,163751.7706,71580.01308,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+9/1/2019,-1.1718619866751545,0.5869461823839492,351687.0072,28739.00932,42889.13136,163953.2198,71628.118,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+10/1/2019,-1.171861986675154,1.5150140001057526,352250.437,28745.52101,42839.12772,163944.7851,71584.63364,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+11/1/2019,-1.1718619866751545,0.4011303387995145,353354.6063,28796.25355,42855.16751,164188.6638,71651.41352,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+12/1/2019,-1.1718619866751532,1.8508158889400264,353750.4515,28789.37292,42785.6343,164104.1757,71575.00722,0.0,0.0,0.0,0.0,0.0,,,,,,,,MN
+1/1/2020,-1.171861986675154,0.9861317303098502,351659.6661,28863.18773,42721.44055,162777.9856,71584.62828,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,MN
+2/1/2020,-1.171828268928335,0.4534595843512705,349834.7889,28958.08949,42688.97992,161575.9581,71647.06942,0.0,0.0,0.0,0.0,0.0,0.0,32.0,32.0,8.0,8.0,0.0,0.0,MN
+3/1/2020,-1.1074042433183546,-1.97011914621256,349182.2168,29150.29687,42799.77712,160914.9868,71950.07399,689.0,689.0,17.0,17.0,629.0,12.0,2496.0,2486.0,644.0,644.0,56.0,56.0,MN
+4/1/2020,-0.7413689057190762,-4.205125062980562,341846.7181,29434.12829,43043.80562,160746.785,72477.93391,4447.0,4447.0,326.0,326.0,4507.0,331.0,16598.0,16580.0,2500.0,2494.0,966.0,966.0,MN
+5/1/2020,0.6906451089990373,0.4089479464891266,332302.1878,29531.66203,43014.66657,159553.8333,72546.3286,20072.0,20072.0,717.0,707.0,19714.0,707.0,36446.0,36424.0,3922.0,3920.0,986.0,986.0,MN
+6/1/2020,-0.1139969130005269,2.226508821542537,321970.3646,29554.88234,42878.07235,157967.2855,72432.95469,11508.0,11508.0,422.0,395.0,11453.0,426.0,23430.0,23430.0,1686.0,1686.0,25.0,25.0,MN
+7/1/2020,0.5309734525443854,1.783343138563086,329122.4911,29595.78021,42768.22692,156486.2957,72364.00713,18472.0,18472.0,164.0,161.0,18160.0,164.0,40386.0,40382.0,2338.0,2338.0,0.0,0.0,MN
+8/1/2020,0.7634876767531077,1.8651201357467344,336193.5237,29632.98059,42654.04673,154995.8861,72287.02731,20676.0,20676.0,220.0,211.0,21401.0,226.0,41780.0,41772.0,2582.0,2580.0,138.0,138.0,MN
+9/1/2020,0.992892273181646,0.9733793780953364,343642.9448,29706.37381,42592.77593,153702.9513,72299.14974,23270.0,23270.0,223.0,219.0,23270.0,223.0,52572.0,51884.0,2891.0,2889.0,266.0,256.0,MN
+10/1/2020,3.4184132741725373,-0.1075010773287692,345657.2143,29824.04521,42595.3443,152642.6656,72419.38951,49338.0,48697.0,422.0,402.0,49338.0,422.0,124325.0,121061.0,6547.0,6501.0,861.0,809.0,MN
+11/1/2020,14.618970938229396,-0.2137578243193527,347723.1506,29946.20117,42604.39615,151606.1215,72550.59732,170291.0,164262.0,1141.0,1083.0,170291.0,1141.0,366503.0,350488.0,14735.0,14441.0,3132.0,2906.0,MN
+12/1/2020,7.712050864855097,2.8060658742921647,348334.9978,29943.3794,42436.37985,149944.2711,72379.75925,96539.0,88865.0,1730.0,1630.0,96539.0,1730.0,157830.0,145014.0,8282.0,7774.0,1556.0,1396.0,MN
+1/1/2021,3.102255045949692,-4.618314473102906,349315.0535,30234.84896,42718.2834,150710.3426,72953.13236,46505.0,40820.0,886.0,801.0,46505.0,886.0,76766.0,66562.0,4009.0,3735.0,243.0,227.0,MN
+2/1/2021,0.9265461351287824,-4.880533535757382,350458.1522,30538.94707,43018.9623,151544.294,73557.90937,22787.0,19225.0,283.0,260.0,22787.0,283.0,44225.0,37332.0,2375.0,2217.0,0.0,0.0,MN
+3/1/2021,1.9998847544067293,-2.919871087896867,350687.0424,30761.49324,43205.94111,151979.79,73967.43435,34044.0,27932.0,237.0,123.0,34935.0,375.0,82169.0,68447.0,3986.0,3648.0,22.0,22.0,MN
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+5/1/2013,1.115382732338321,0.1074747110923202,451222.8492,32748.8945,69492.84724,204309.3176,102241.7417,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2013,1.1153827323383243,1.2098183309572017,449884.7157,32764.10677,69410.29162,204289.7716,102174.3984,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2013,1.1153827323383203,0.567853893947181,450053.5746,32809.0077,69391.02058,204455.7278,102200.0283,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2013,1.1153827323383243,0.7965089003533368,450088.9568,32844.08761,69351.29544,204560.7986,102195.383,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2013,1.1153827323383196,-0.0138864567781608,450638.4047,32916.61743,69390.86657,204899.3353,102307.484,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+11/1/2013,1.1153827323383227,0.859842410847842,451388.6789,32980.05353,69298.76523,205069.1411,102278.8188,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2013,1.115382732338326,1.183856525447479,451596.0386,32999.49062,69227.49892,205078.2689,102226.9895,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2014,1.1153827323383263,1.0229703853215462,449782.9119,32999.5535,69200.12124,205312.0335,102199.6747,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2014,1.1153827323383212,0.0893668969767119,448563.2251,33042.82541,69263.42121,205814.0508,102306.2466,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2014,1.1153827323383234,1.1247925813291264,446712.4036,33039.26158,69228.61629,206023.7413,102267.8779,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+5/1/2014,1.1153827323383254,0.94835735145489,448508.0824,33043.0889,69182.26955,206508.816,102225.3585,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2014,1.1153827323383263,0.5312075298412434,449715.0483,33068.08366,69207.55083,206894.5019,102275.6345,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2014,1.1153827323383243,0.8154553744148395,450418.4514,33080.51491,69206.60917,207200.9804,102287.1241,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2014,1.1153827323383236,-0.3493289822925216,451854.2892,33146.79305,69318.35584,207844.4162,102465.1489,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2014,1.1153827323383196,-0.0647107071235262,453119.1923,33200.53681,69403.8933,208409.2274,102604.4301,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+11/1/2014,1.1153827323383252,-0.7774447049060355,456183.8898,33358.66522,69680.78915,209857.0858,103039.4544,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+1/1/2015,1.1153827323383234,-2.9227768439290576,461729.5662,33748.81667,70170.54604,212273.0363,103919.3627,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2015,1.1153827323383243,1.6165598349384664,462384.7848,33814.57412,70010.62026,212420.5754,103825.1944,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2015,1.1153827323383254,1.8193120396150704,462911.7679,33870.8901,69832.20041,212509.749,103703.0905,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+8/1/2015,1.1153827323383203,0.4781450596884392,469982.7278,34272.73255,69199.55144,213720.4746,103472.284,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2015,1.1153827323383243,-0.5908325159749898,472152.9882,34444.05987,69257.95583,214530.9762,103702.0157,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2015,1.115382732338322,0.3802497442942683,472431.5252,34569.63999,69223.90921,215056.129,103793.5492,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2015,1.115382732338321,0.932104400165322,472353.3358,34669.06819,69137.62737,215418.7109,103806.6956,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2015,1.1153827323383216,-0.0892856398992534,472947.6141,34817.87454,69149.75836,216088.0556,103967.6329,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2016,1.115382732338321,0.5485908394404877,472632.6641,34859.68869,69177.97611,216556.0568,104037.6648,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2016,1.115382732338323,-0.2629241027757842,472853.2961,34941.01238,69284.59348,217269.5221,104225.6059,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2016,1.115382732338326,1.8609947735556795,471689.0057,34919.88868,69188.16015,217345.5997,104108.0488,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2016,1.115382732338323,2.579724915072779,471943.5,34864.2401,69023.62675,217205.6288,103887.8669,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2016,1.1153827323383243,1.2729435914868,473050.0976,34871.89475,68984.6793,217459.0534,103856.5741,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2016,1.1153827323383243,1.5821451336115433,473953.1557,34864.79482,68916.72666,217619.7744,103781.5215,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2016,1.115382732338325,0.5118451426395404,475032.3361,34909.56457,68951.42874,218103.7825,103860.9933,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2016,1.1153827323383234,1.2995652715616792,475595.1674,34916.45429,68911.41472,218350.7387,103827.869,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2016,1.1153827323383254,1.475922489988284,476042.4657,34914.97298,68855.05236,218544.6894,103770.0253,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2016,1.115382732338322,1.8234470430792704,477150.7008,34896.83736,68766.05653,218633.5961,103662.8939,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2016,1.1153827323383243,0.5101971193721198,479125.4714,34942.33301,68802.58714,219120.638,103744.9202,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2016,1.115382732338326,1.5542002844454457,480406.9817,34937.48631,68740.10874,219291.5433,103677.5951,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2017,1.1153827323383236,1.3211764741217338,478430.0369,34897.24847,68747.1381,218934.6871,103644.3866,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2017,1.115382732338326,-0.2414431084552781,477501.2472,34932.91971,68903.25534,219054.6083,103836.175,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2017,1.1153827323383263,-1.7350727161190835,477568.9969,35041.3934,69202.88688,219631.1557,104244.2803,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2017,1.1153827323383232,0.2601362889214258,477731.2188,35053.58854,69312.23836,219604.422,104365.8269,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2017,1.1153827323383256,-1.5191788386663538,479077.1326,35152.63667,69593.16331,220122.0037,104745.8,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2017,1.1153827323383227,-0.61275076563597,479829.0413,35208.09904,69787.74276,220366.7249,104995.8418,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2017,1.1153827323383227,-1.106625941527713,481419.5058,35288.11026,70030.87936,220765.2208,105318.9896,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2017,1.1153827323383247,0.4311088700158669,481989.3553,35293.4061,70125.51881,220696.5587,105418.9249,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2017,1.1153827323383196,1.4355841660357118,481890.3945,35249.9507,70122.78033,220323.6658,105372.731,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2017,1.1153827323383223,-0.1939566974364226,483211.437,35286.37824,70278.51749,220450.5945,105564.8957,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2017,1.1153827323383243,-0.0495000734826595,484437.8813,35316.0855,70420.61003,220535.853,105736.6955,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2017,1.115382732338323,-0.1893433097398874,485760.1421,35352.96317,70576.74332,220666.1993,105929.7065,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2018,1.115382732338325,1.2075831558565246,487101.3642,35374.27892,70544.09381,220686.3695,105918.3727,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2018,1.1153827323383243,0.4113757934492322,488973.132,35434.57995,70589.63995,220950.4297,106024.2199,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2018,1.1153827323383232,-0.3252979616648652,491341.288,35531.14301,70707.71129,221441.031,106238.8543,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2018,1.115382732338323,0.0790423968695938,492205.0907,35607.96879,70786.75408,221808.9973,106394.7229,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2018,1.115382732338322,0.0470753715729359,493092.868,35686.47386,70869.41854,222187.8495,106555.8924,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2018,1.115382732338325,-0.4846309087482977,494346.6861,35791.42702,71004.82842,222731.7042,106796.2554,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2018,1.1153827323383247,-0.634713346629093,495497.6003,35904.08638,71155.67669,223323.7407,107059.7631,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2018,1.11538273233832,-0.7245581598286951,496715.0529,36021.51727,71316.10477,223945.6416,107337.622,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2018,1.1153827323383234,0.2889936712904332,497239.1436,36088.57989,71377.02551,224254.7224,107465.6054,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+10/1/2018,1.115382732338321,-0.0355996943829358,497076.4631,36171.94864,71470.47483,224665.5466,107642.4235,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+11/1/2018,1.1153827323383232,-0.9613908830791936,497557.3175,36301.9452,71656.20498,225366.2051,107958.1502,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2018,1.1153827323383256,-1.1036873919216517,498142.8742,36439.52253,71856.94232,226113.9911,108296.4648,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2019,1.115382732338324,-0.4540062969485268,500482.4565,36529.64234,72008.7572,226753.1605,108538.4072,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+2/1/2019,1.115382732338324,0.7628070594133504,501979.5809,36558.38663,72039.62277,227011.2357,108598.0247,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+3/1/2019,1.115382732338324,1.6108577332576703,502883.236,36544.25135,71986.10235,227002.7092,108530.3765,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+4/1/2019,1.1153827323383234,1.8732097597854056,503105.7873,36516.88225,71906.66181,226911.52,108423.5744,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+5/1/2019,1.115382732338327,0.1571044984551983,504522.7995,36576.37422,71998.35846,227359.7786,108574.7706,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+6/1/2019,1.1153827323383212,0.1811381967743894,505924.046,36634.78419,72087.96107,227801.2007,108722.7907,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+7/1/2019,1.1153827323383223,0.7101556710699933,508798.6024,36666.44716,72124.98713,228076.1365,108791.4873,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+8/1/2019,1.1153827323383243,-0.0799510723605816,512227.0245,36738.33824,72241.18936,228601.1635,108979.5881,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+9/1/2019,1.115382732338323,0.1669343572090247,515479.9604,36797.82137,72333.01877,229048.9034,109130.9082,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
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+11/1/2019,1.1153827323383236,-0.0151706641617321,517401.8654,36879.11692,72442.78184,229709.4283,109321.9817,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+12/1/2019,1.1153827323383256,1.431738383437296,517722.7821,36874.27756,72408.43086,229755.9962,109282.7987,0.0,0.0,0.0,0.0,0.0,,,,,,,,VA
+1/1/2020,1.1153824144073652,-0.366062375781329,515929.4779,37051.68824,72464.80957,228524.2705,109516.5729,0.0,0.0,0.0,0.0,0.0,0.0,14.0,10.0,1.0,1.0,0.0,0.0,VA
+2/1/2020,1.1153797830587526,-0.8883278868040811,514522.4633,37255.91969,72574.51757,227464.962,109830.4973,0.0,0.0,0.0,0.0,0.0,0.0,90.0,90.0,16.0,16.0,0.0,0.0,VA
+3/1/2020,1.0435557394924926,-3.296022027673492,514841.0092,37585.42825,72927.95333,227168.0322,110513.4267,1020.0,1020.0,27.0,27.0,1249.0,27.0,8424.0,8402.0,2232.0,2230.0,116.0,114.0,VA
+4/1/2020,0.0799357800137841,-5.515629626254016,507070.1912,38033.69105,73509.65042,227571.5655,111543.3717,14826.0,14160.0,525.0,516.0,14598.0,525.0,35807.0,33869.0,5370.0,5352.0,1203.0,1102.0,VA
+5/1/2020,-0.8911040405303439,-0.906781453728331,496035.9332,38241.57476,73625.53956,226527.0843,111867.1294,28761.0,27319.0,823.0,731.0,28760.0,823.0,53732.0,52034.0,4519.0,4486.0,502.0,444.0,VA
+6/1/2020,-0.1520315733772648,0.9139973506107985,483811.6952,38352.85247,73556.74246,224920.8098,111909.5949,18180.0,17625.0,388.0,384.0,18180.0,388.0,34999.0,33901.0,2273.0,2253.0,56.0,48.0,VA
+7/1/2020,-0.7757036724463602,0.4801197444522764,493174.1873,38486.54476,73532.76103,223460.6081,112019.2908,27101.0,26377.0,411.0,409.0,27101.0,411.0,60566.0,58143.0,4133.0,4108.0,127.0,120.0,VA
+8/1/2020,-1.0261321725865082,0.5698947526138824,502423.2496,38614.94825,73500.34258,221983.0478,112115.2609,30706.0,28833.0,406.0,380.0,30706.0,406.0,59857.0,56095.0,3523.0,3473.0,142.0,127.0,VA
+9/1/2020,-0.8146084842762749,-0.3110405089734618,512244.183,38790.12749,73558.29966,220785.1236,112348.3824,27677.0,25280.0,628.0,548.0,27677.0,628.0,53670.0,48996.0,2455.0,2393.0,184.0,158.0,VA
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+1/1/2013,0.8500476352643529,0.6487451004966491,240106.2968,15408.78288,31098.28979,107458.2701,46507.07267,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2013,0.8500476352643466,1.9579291343265584,238499.2157,15401.55799,31030.15804,107271.2774,46431.71603,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2013,0.8500476352643498,-1.7556997428159802,238081.0311,15470.88287,31116.37944,107617.7702,46587.26231,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2013,0.8500476352643502,-1.3435701003559282,238076.5903,15532.07719,31186.13621,107907.4206,46718.2134,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2013,0.8500476352643463,-0.2555710718051904,237730.3897,15570.98307,31211.13421,108042.207,46782.11728,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2013,0.8500476352643488,0.8813250884241457,237028.1938,15586.39902,31189.19666,108014.3834,46775.59568,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2013,0.8500476352643471,0.2072960866024407,237509.9815,15615.91057,31195.64431,108084.6998,46811.55488,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2013,0.85004763526435,0.4369844632592112,237920.2377,15640.72505,31192.85456,108122.8779,46833.57961,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2013,0.8500476352643482,-0.4121041842893141,238601.4771,15683.35795,31225.70162,108284.4904,46909.05958,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2013,0.8500476352643493,0.569631429549784,238530.5702,15705.55042,31217.96006,108305.2503,46923.51048,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2013,0.8500476352643503,0.4795129378032126,238490.3302,15729.67482,31214.22706,108339.7624,46943.90187,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2013,0.8500476352643505,0.8082074104492833,238347.4394,15746.9339,31197.05341,108327.4558,46943.9873,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2014,0.8500476352643512,0.1155821328987674,236843.4724,15749.80282,31237.84359,108472.2765,46987.64641,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2014,0.8500476352643513,-0.8586368214141205,235653.3578,15773.28721,31319.43494,108758.77,47092.72216,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2014,0.8500476352643502,0.2114219235008716,234133.0954,15774.40683,31356.52848,108890.7336,47130.93531,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2014,0.8500476352643503,0.1734004670423764,235105.0852,15776.44326,31395.30734,109028.5375,47171.7506,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2014,0.8500476352643515,0.0189049035252273,236123.7802,15781.84462,31440.6556,109189.1439,47222.50022,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2014,0.8500476352643501,-0.4187574017722315,237279.3711,15796.57398,31504.48877,109413.937,47301.06275,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2014,0.8500476352643529,-0.1281591943368334,238319.6046,15805.29444,31556.24738,109596.7875,47361.54182,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2014,0.8500476352643498,-1.3418599024949651,239746.4551,15839.73818,31659.31684,109957.8394,47499.05502,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2014,0.8500476352643506,-1.0507222786924475,241082.5267,15868.19182,31750.40939,110277.2933,47618.6012,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2014,0.8500476352643512,-1.4210354685094528,242503.788,15904.64283,31857.50377,110652.3256,47762.1466,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2014,0.8500476352643482,-1.799064086939116,244051.1617,15949.30713,31981.08434,111084.6234,47930.39147,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2014,0.8500476352643493,-2.367477813664131,245789.3919,16006.31436,32129.49291,111603.1669,48135.80727,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2015,0.8500476352643516,-3.241982431350567,248378.8936,16101.74206,32296.85746,112425.072,48398.59952,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2015,0.8500476352643518,1.4634041782908929,249417.6069,16096.42029,32262.06715,112543.9913,48358.48744,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2015,0.8500476352643501,1.666970918408001,250384.7089,16086.73455,32218.61598,112631.8425,48305.35053,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2015,0.8500476352643516,0.8063230684112455,251021.9933,16095.52036,32212.22427,112848.6056,48307.74463,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2015,0.8500476352643491,2.022037754367441,251250.8886,16078.22133,32153.7041,112881.9943,48231.92543,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2015,0.8500476352643521,1.685294375114697,251590.6188,16068.15279,32109.74689,112965.4785,48177.89969,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2015,0.8500476352643465,0.8505447735785325,251337.2841,16075.97568,32101.60865,113174.3216,48177.58432,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2015,0.8500476352643511,0.2425734805519912,251288.2582,16096.84654,32119.54525,113474.8941,48216.39179,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2015,0.8500476352643476,-0.8733561467395821,251613.8214,16141.74791,32185.39728,113945.0958,48327.14519,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2015,0.8500476352643502,0.1287547241596967,251865.0709,16165.15289,32208.34866,114263.8031,48373.50156,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2015,0.8500476352643521,0.6959439245414932,251926.0929,16176.34536,32206.97814,114496.1147,48383.32349,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2015,0.850047635264351,-0.3701044516214087,252345.7914,16210.57015,32251.46001,114891.4802,48462.03016,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2016,0.8500476352643489,0.5233913882196783,252768.8614,16219.5242,32263.58263,115029.9192,48483.10682,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2016,0.8500476352643493,-0.3249907163352721,253478.4293,16246.86013,32312.26955,115298.7318,48559.12968,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2016,0.8500476352643496,1.8744752254660129,253444.5937,16226.57783,32266.26144,115229.4866,48492.83927,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2016,0.8500476352643507,2.615569862111162,252884.2678,16190.31107,32188.5003,115046.3128,48378.81137,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2016,0.8500476352643503,1.2537465911855843,252783.8528,16183.4909,32169.30988,115072.0271,48352.80078,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2016,0.8500476352643485,1.5697450960142885,252577.0098,16169.85841,32136.59707,115049.0521,48306.45548,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2016,0.8500476352643481,0.4535723754795895,252591.4589,16180.30635,32151.75561,115197.2388,48332.06196,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2016,0.8500476352643443,1.2665678805353493,252332.4136,16173.21683,32132.07632,115220.4253,48305.29314,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2016,0.850047635264355,1.4450268294459392,252013.8683,16162.28301,32104.77739,115215.9868,48267.0604,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2016,0.8500476352643471,1.8014041509324827,252191.8322,16143.68014,32062.26659,115156.589,48205.94672,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2016,0.8500476352643525,0.4335747844288256,252828.8465,16154.54022,32078.28529,115307.1678,48232.82551,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2016,0.8500476352643502,1.5131942576644963,253100.9265,16142.14841,32048.14459,115291.6195,48190.293,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2017,0.8500476352643505,1.6197328582972768,252160.2725,16109.15838,32031.7955,115160.8354,48140.96179,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2017,0.8500476352643493,-0.0097635376068274,251771.526,16111.28477,32085.01468,115280.5406,48196.31524,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2017,0.8500476352643473,-1.5676771008962294,251908.1242,16147.00224,32205.08094,115640.4959,48352.10687,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2017,0.8500476352643467,0.4967974638746142,253027.8471,16138.37822,32236.62808,115682.718,48375.03783,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2017,0.8500476352643529,-1.357368576362492,254772.5309,16169.7678,32348.00972,116011.5658,48517.81694,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2017,0.8500476352643473,-0.4230593283504791,256200.6332,16181.11799,32419.26948,116196.5695,48600.43472,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2017,0.8500476352643511,-0.942316216752442,256906.8045,16203.76757,32513.10916,116462.5889,48716.93184,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2017,0.8500476352643501,0.6478252588305582,257068.7039,16192.14588,32538.05623,116482.0173,48730.26496,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2017,0.8500476352643502,1.6846151302343408,256874.7594,16158.24342,32517.93579,116340.5358,48676.24964,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2017,0.8500476352643536,-0.0131565241102622,257054.172,16161.03131,32571.40312,116462.6935,48732.51256,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2017,0.8500476352643509,0.1308749552238449,257184.8974,16160.78477,32618.6052,116562.6648,48779.47578,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2017,0.8500476352643535,-0.0201413630161173,257368.1062,16163.8624,32672.36867,116686.2965,48836.32455,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2018,0.8500476352643482,1.9977289101628597,257562.7627,16160.87784,32600.88144,116691.5125,48761.84466,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2018,0.8500476352643449,1.1626953506852762,258041.0376,16175.7801,32565.86914,116825.722,48741.72667,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2018,0.8500476352643552,0.3895051393970332,258783.2283,16207.28449,32564.53139,117079.7341,48771.88547,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2018,0.8500476352643529,0.8010047642987836,258184.7366,16229.82801,32545.40628,117268.9249,48775.29602,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2018,0.8500476352643483,0.7596888887452765,257602.864,16253.18489,32528.15955,117463.8917,48781.39837,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2018,0.8500476352643473,0.1996206619985656,257215.3956,16288.62505,32535.28994,117746.1063,48823.96115,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2018,0.8500476352643496,0.0357370219359088,258404.0326,16327.59776,32549.60784,118053.8031,48877.24404,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2018,0.8500476352643509,-0.0654393417147672,259626.3663,16368.76125,32568.4012,118377.2957,48937.19317,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2018,0.8500476352643493,0.9791323275033476,260484.5592,16387.0726,32541.91267,118535.4476,48929.00826,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2018,0.8500476352643459,0.6345993940779326,259468.5285,16412.83525,32530.46467,118747.3988,48943.31522,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2018,0.8500476352643471,-0.3341034652207781,258790.3899,16459.78061,32561.13359,119112.5534,49020.92185,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2018,0.850047635264346,-0.4893262177674519,258167.2799,16510.17056,32598.65493,119502.6195,49108.8255,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2019,0.8500476352643507,0.3803921017031577,258350.9058,16518.75319,32621.08059,119704.846,49139.83379,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+2/1/2019,0.8500476352643491,1.6387639596052743,258101.1062,16499.62741,32588.78017,119706.0818,49088.40758,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+3/1/2019,0.8500476352643479,2.5144855638771104,257550.5057,16461.28578,32518.50278,119567.309,48979.78857,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+4/1/2019,0.8500476352643522,2.782195945951837,257450.9625,16417.16767,32436.78266,119385.7715,48853.95032,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+5/1/2019,0.8500476352643557,0.9958514261946232,257963.4552,16412.21994,32432.43428,119488.5577,48844.65421,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+6/1/2019,0.8500476352643552,1.016118346686337,258468.1857,16406.83131,32427.20699,119587.9383,48834.0383,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+7/1/2019,0.8500476352643522,1.5609353087872897,258742.3474,16389.53228,32398.42771,119600.2053,48787.95999,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+8/1/2019,0.850047635264352,0.7361607694337968,259300.2942,16390.27107,32405.29546,119743.8528,48795.56653,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+9/1/2019,0.8500476352643515,0.9880404543814474,259770.6135,16385.50637,32401.27669,119847.1513,48786.78305,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+10/1/2019,0.8500476352643521,1.9458783889611,260251.6384,16359.83144,32355.89506,119797.1437,48715.72649,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+11/1/2019,0.850047635264355,0.7901326394407362,261132.022,16359.39343,32360.41333,119931.6098,48719.80676,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+12/1/2019,0.8500476352643491,2.288084042508209,261488.7661,16326.30761,32300.33593,119826.3437,48626.64355,0.0,0.0,0.0,0.0,0.0,,,,,,,,CT
+1/1/2020,0.8500399842943805,0.9299457669704124,258428.0959,16346.24225,32275.59249,119348.6504,48621.83474,0.0,0.0,0.0,0.0,0.0,0.0,34.0,34.0,30.0,30.0,0.0,0.0,CT
+2/1/2020,0.8500427496703075,0.3764667589544253,255567.4199,16378.18493,32274.75166,118960.5054,48652.93659,0.0,0.0,0.0,0.0,0.0,0.0,74.0,54.0,34.0,30.0,0.0,0.0,CT
+3/1/2020,0.1735960142121584,-2.134563315776668,253561.5029,16465.13842,32382.24572,118971.2517,48847.38414,3128.0,3128.0,69.0,69.0,3128.0,69.0,7618.0,7202.0,2990.0,2868.0,424.0,404.0,CT
+4/1/2020,-20.56674556839444,-4.451081794130752,248152.2235,16603.68116,32590.7212,119350.0972,49194.40236,24572.0,23012.0,2188.0,1429.0,24572.0,2188.0,18643.0,16679.0,7834.0,7453.0,4869.0,3711.0,CT
+5/1/2020,-15.663649017178985,0.3224388828187443,241139.0115,16637.04204,32592.46841,118970.244,49229.51045,14501.0,14049.0,1687.0,1389.0,14501.0,1687.0,7294.0,6469.0,2944.0,2844.0,1725.0,1333.0,CT
+6/1/2020,-2.851084751290365,2.201862236824736,233554.8914,16628.6367,32512.68669,118294.5659,49141.32339,4313.0,4345.0,378.0,369.0,4313.0,378.0,59839.0,58597.0,811.0,791.0,92.0,64.0,CT
+7/1/2020,-0.2268626535743497,1.7418030030354237,239221.1659,16630.31637,32453.03347,117694.6185,49083.34984,3296.0,3320.0,110.0,98.0,3296.0,110.0,8034.0,7783.0,315.0,301.0,0.0,0.0,CT
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+2/1/2012,1.2443354275991771,1.0648093821508648,1287293.787,65166.80898,155782.9457,531310.2952,220949.671,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+1/1/2015,1.1271301780821543,-3.3808034359370485,1429268.205,70333.62612,168129.8411,578209.0714,238463.4591,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+1/1/2016,1.127130178082171,1.0621305123422804,1454594.28,71000.26459,168750.7744,593793.0598,239750.9503,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+8/1/2019,1.127130178082168,-0.8434283601786108,1635989.57,73980.708,179553.6871,647133.6517,253534.3951,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
+9/1/2019,1.127130178082164,-0.5604502400503332,1638838.368,74077.96238,180053.7398,648504.7229,254131.7022,0.0,0.0,0.0,0.0,0.0,,,,,,,,NY
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+1/1/2020,1.094009688411116,2.608203639959214,1639370.313,74149.95403,180682.3412,646355.5187,254832.2953,0.0,0.0,0.0,0.0,0.0,0.0,1051.0,1027.0,112.0,110.0,0.0,0.0,NY
+2/1/2020,0.624962537191914,1.9997910140230308,1640477.087,74189.92527,180447.7657,642386.453,254637.6909,0.0,0.0,0.0,0.0,0.0,0.0,2099.0,1959.0,1705.0,1587.0,141.0,106.0,NY
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+9/1/2020,0.1447575316982449,2.5533856842435894,1594146.202,74693.38249,179363.6494,616720.6329,254057.0319,14089.0,14089.0,89.0,89.0,24383.0,367.0,95724.0,93055.0,3320.0,3285.0,144.0,140.0,NY
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+2/1/2012,1.416643043338221,-0.6009173389565067,418891.6905,30497.56392,73596.24625,219612.6375,104093.8102,0.0,0.0,0.0,0.0,0.0,,,,,,,,MI
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From 8c058d2970b3bce4c3712030d02dd35f625f4716 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Sun, 27 Oct 2024 22:24:33 -0700
Subject: [PATCH 10/15] Update figures - add PNGs

---
 reports/figures/Paper_Figures/MA-Economic.png | Bin 0 -> 890956 bytes
 .../Paper_Figures/MA-Pandemic-Delta.png       | Bin 0 -> 386072 bytes
 .../Paper_Figures/MA-Pandemic-Synth.png       | Bin 0 -> 398532 bytes
 reports/figures/Paper_Figures/MA-Pandemic.png | Bin 0 -> 922124 bytes
 reports/figures/figures.ipynb                 | 145 +++++++++---------
 5 files changed, 72 insertions(+), 73 deletions(-)
 create mode 100644 reports/figures/Paper_Figures/MA-Economic.png
 create mode 100644 reports/figures/Paper_Figures/MA-Pandemic-Delta.png
 create mode 100644 reports/figures/Paper_Figures/MA-Pandemic-Synth.png
 create mode 100644 reports/figures/Paper_Figures/MA-Pandemic.png

diff --git a/reports/figures/Paper_Figures/MA-Economic.png b/reports/figures/Paper_Figures/MA-Economic.png
new file mode 100644
index 0000000000000000000000000000000000000000..8f0b3dfc3b4062231b675e4dc50690ff86e22462
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HcmV?d00001

diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
index 697cf46..eb7f26e 100644
--- a/reports/figures/figures.ipynb
+++ b/reports/figures/figures.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,10 @@
     "from dfmdash.dfm import ModelRunner\n",
     "from dfmdash.results import parse_run_results\n",
     "\n",
-    "plt.style.use(\"ggplot\")"
+    "plt.style.use(\"ggplot\")\n",
+    "\n",
+    "FIG_OUT = Path(\"Paper_Figures\")\n",
+    "FIG_OUT.mkdir(exist_ok=True)"
    ]
   },
   {
@@ -45,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -257,7 +260,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 126,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -269,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -294,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -477,7 +480,7 @@
        "4      0.0    MN  "
       ]
      },
-     "execution_count": 128,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -582,7 +585,7 @@
        "249 2020-06-01  Cases1          0.016776  Data"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -630,7 +633,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -649,12 +652,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -706,7 +709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -751,7 +754,7 @@
     "ax.set_ylabel('Normalized Value')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.show()"
+    "plt.savefig(FIG_OUT / \"MA-Pandemic.png\", dpi=600)"
    ]
   },
   {
@@ -763,7 +766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -842,7 +845,7 @@
        "39 2020-06-01  Cons2          0.154480  Data"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -884,7 +887,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -941,7 +944,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -986,7 +989,7 @@
     "ax.set_ylabel('Normalized Value')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.show()"
+    "plt.savefig(FIG_OUT / \"MA-Economic.png\", dpi=600)"
    ]
   },
   {
@@ -998,7 +1001,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1213,7 +1216,7 @@
        "6/1/2012 MN       0.0    0.0      0.0      0.0 -1.171862    -1.655460  "
       ]
      },
-     "execution_count": 136,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1248,7 +1251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1264,13 +1267,7 @@
       "\n",
       "At X0         1 variables are exactly at the bounds\n",
       "\n",
-      "At iterate    0    f=  4.12456D+01    |proj g|=  5.00000D-01\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "At iterate    0    f=  4.12456D+01    |proj g|=  5.00000D-01\n",
       "\n",
       "           * * *\n",
       "\n",
@@ -1654,7 +1651,7 @@
        "ME  0.060567"
       ]
      },
-     "execution_count": 137,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1678,7 +1675,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1733,7 +1730,7 @@
        "Pandemic    -0.23         -0.10   0.31         0.0"
       ]
      },
-     "execution_count": 138,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1744,7 +1741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1775,7 +1772,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1784,7 +1781,7 @@
        "Timestamp('2022-12-01 00:00:00')"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1803,7 +1800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1812,7 +1809,7 @@
        "(-1.0, 12.0)"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1832,7 +1829,8 @@
     "sns.lineplot(x=x, y=y, label=f\"{treated_unit} {outcome_var}\", c='black')\n",
     "sns.lineplot(x=x, y=ys, label=f\"Synthetic {outcome_var}\", c='grey', linestyle='--')\n",
     "plt.xlim([datetime(2022, 1,1), x.max()])\n",
-    "plt.ylim([-1, 12])"
+    "plt.ylim([-1, 12])\n",
+    "plt.savefig(FIG_OUT / \"MA-Pandemic-Synth.png\", dpi=600)"
    ]
   },
   {
@@ -1844,22 +1842,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "(18993.0, 19327.0)"
-      ]
-     },
-     "execution_count": 142,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1869,34 +1857,45 @@
     }
    ],
    "source": [
-    "normalized_treated_outcome = data.treated_outcome_all - ys.reshape(-1, 1)\n",
-    "normalized_treated_outcome = normalized_treated_outcome[:, 0]\n",
-    "normalized_synth = np.zeros(data.periods_all)\n",
-    "most_extreme_value = np.max(np.absolute(normalized_treated_outcome))\n",
+    "data = sc.original_data\n",
+    "synth = data.synth_outcome\n",
+    "treated_outcome_all = data.treated_outcome_all\n",
+    "treatment_period = data.treatment_period\n",
+    "treated_label = \"Treated\"\n",
+    "synth_label = \"Synthetic Control\"\n",
+    "treatment_label = \"Treatment\"\n",
+    "\n",
+    "# Compute the delta from the pandemic data (treated outcome)\n",
+    "synth_delta = synth[0, :] - treated_outcome_all[0, :]\n",
+    "\n",
+    "# Create x-axis data\n",
+    "x = df[df.State == treated_unit].Time\n",
+    "x = pd.to_datetime(x)\n",
+    "y = np.zeros_like(synth_delta)  # Pandemic as a flat line (zero)\n",
     "\n",
+    "# If inversion is needed\n",
     "if invert:\n",
-    "    normalized_treated_outcome *= -1\n",
-    "    normalized_synth *= -1\n",
+    "    synth_delta *= -1\n",
+    "\n",
+    "# Plotting\n",
     "plt.figure(figsize=(12, 6))\n",
-    "sns.lineplot(x=x, y=normalized_treated_outcome, label=f\"{treated_unit} {outcome_var}\", c='black')\n",
-    "sns.lineplot(x=x, y=normalized_synth, label=f\"Synthetic {outcome_var}\", c='grey', linestyle='--')\n",
-    "plt.xlim([datetime(2022, 1,1), x.max()])"
+    "sns.lineplot(x=x, y=y, label=\"Pandemic Baseline\", color='black')  # Flat line at zero\n",
+    "sns.lineplot(x=x, y=synth_delta, label=\"Synthetic Deviation\", color='grey', linestyle='--')\n",
+    "\n",
+    "# Mark the treatment period\n",
+    "plt.axvline(x=pd.to_datetime(treatment_period), color='red', linestyle=':', label=treatment_label)\n",
+    "\n",
+    "# Configure plot limits and labels\n",
+    "plt.xlim([datetime(2022, 1, 1), x.max()])\n",
+    "plt.ylim([min(synth_delta) - 1, max(synth_delta) + 1])\n",
+    "plt.xlabel(\"Time\")\n",
+    "plt.ylabel(\"Delta from Pandemic\")\n",
+    "plt.title(\"Synthetic Control Deviation from Pandemic Baseline\")\n",
+    "plt.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(FIG_OUT / \"MA-Pandemic-Delta.png\", dpi=600)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

From ca8f4247558513613756c2d2b6f0b03c550d658f Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Mon, 28 Oct 2024 11:54:42 -0700
Subject: [PATCH 11/15] Update SCM pointwise figure

---
 .../Paper_Figures/MA-Pandemic-Delta.png       | Bin 386072 -> 457379 bytes
 reports/figures/figures.ipynb                 | 109 +++++++-----------
 2 files changed, 44 insertions(+), 65 deletions(-)

diff --git a/reports/figures/Paper_Figures/MA-Pandemic-Delta.png b/reports/figures/Paper_Figures/MA-Pandemic-Delta.png
index 334ee7580cbe893e93d27e2757b5c26f6dabcadf..ff406aad54e64abe65d84545f7bf64263ff3263f 100644
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diff --git a/reports/figures/figures.ipynb b/reports/figures/figures.ipynb
index eb7f26e..5074936 100644
--- a/reports/figures/figures.ipynb
+++ b/reports/figures/figures.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -260,7 +260,7 @@
        "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -272,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -480,7 +480,7 @@
        "4      0.0    MN  "
       ]
      },
-     "execution_count": 5,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -506,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -585,7 +585,7 @@
        "249 2020-06-01  Cases1          0.016776  Data"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -633,7 +633,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -652,12 +652,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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MsjnG3//+9wCAf/u3fxvz2Lnnnosf//jHePrpp8ctRm3evDnt6y1btsgLRiwGLEbRsnZsXlRdXZ38dXNzM4CRX0Dbt2+H0+mUK/wzpVAoUFhYiIKCArhcLvT398tFqWP/UBAREREtBZIkYWBgAEqlEvn5+QCAwsJCCIKAvr4+FqOWgUzPnedStsa4ceNGPP3001Nu19zcjAcffBDvvvsuhoaG5BkTw8PDKC0tnfB5xxY3NBoNgJHCV0p7ezsAjHsRXaFQjFsgaWpqAgB86UtfGlOsSiQSMBgMGBoaGvO81Ht6NLVaDbvdPuZ+rVY77YULUrNWJvpZHFuAyZZwOIxHH30Uf/7zn9Hb24t4PA5BEBAMBuXHczHG1DTO8Y5Z6nNie3s7ksnkmEaGxfD+mgyLUbSsjS5GrVixAjabDXl5eXC73fIvGb1ej9LSUhw9enTWb3hBEJCfnw+73Q6Px4OOjg55hQ0iIiKipSQYDCIYDMJsNssfotRqNRQKxZicG1qasj39bbE7fPgwzj33XFitVvziF7/ACSecIL83ju18OtaxHTiTicVi494/WVTIww8/jI0bN057HxONZybjnMxE30O2/PSnP037+oorrsDOnTvxzW9+E1dffTWMRiMA4O6778Y999wzL2OcSrZ+1vNlcY+eaJZGF6OOP/54AJCn6jmdTni9XgBAY2MjPB7PuFcFMiEIAvLy8mA0GicMEiQiIiJazAYHByFJ0phQXbVaDZ/PNz+DIppHTz75JMLhMK655hqceOKJWY/sSOUFDQwMjHlMFMVxP8ukMnMnWkF8586d6OrqyuIoJ5f6LDZRSHlfX5/crZQthw4dws6dO1FfX49t27bJhai5GGNqZs54r5W6r6amZknGu7AYRctaqhil0+mwevVqACOFp5RUd5TBYEBJSQmOHj2a1f3r9Xr4/f6sviYRERHRQjA0NARJksZM59FoNAiFQvM0KqL5o1arAYztUIpGoxgcHJz1669duxbV1dU4fPiwPGUv5Y033kib0pfyyU9+EgDw5z//ecxjBw8exCc+8Yk57WQ899xzodPp8NJLL8nZvikHDhzAxo0b5TiVbJnouAAYtxA30zEaDAYAkFcSPXr0KG677TYAIzlPgiDgueeeG7Of1H1btmzJ5Nta8FiMomXL6/XKVwCKi4vl3IJjQ8xTGhsb4XK54Ha7szYGg8HAzigiIiJaciRJwvDwMERRHJOPqdfrEYlE5mlkRPPnvPPOg0ajwX//939j//79AIBAIICbbroJ0Wh01q+vUCjwwx/+EEqlEt/4xjfkTqhDhw7hhz/84bgdPx//+MdxySWX4IUXXsCvf/1reerZvn378LnPfQ6XXHKJHMw+F4qLi3H77bejv78ft9xyi9xh1NzcjK985Sv493//d3lGS7bU1tZiw4YNOHr0KB588EEkEglIkoS//vWv+OMf/zjrMa5atQrASHEPAJ5++mm8+eabAEYKiF/72tewe/du3HvvvfLP//XXX8eDDz6ITZs24XOf+1xWv9+FQpAWS9T6EjBR62MmBEFASUnJokrLX2jefvttXHDBBQBG5mg/88wzAIBXXnkFV155JQBg27Zt+OY3vyk/Z9euXUgkEjj55JOzMoZIJILu7u60AhgtTnxPLh08losfj+HSwuO5OPn9frz00ktIJBK46KKLoFAo5GP5u9/9Dh0dHXJHBi0efD+m27x5MzweD1wuF9RqNWw2G5RKJd59990Jn7Njxw7cc889OHjwIJRKJRwOBy6//HL8/Oc/R19fH/Lz83HjjTdi/fr1uPzyy+H3+xGJRGC32/HRj34UP/7xj3HllVdi9+7d8Hg8MBgMMBqNeP311+WL6zt37sSdd96J/fv3w2w2o6GhAd/85jdx7bXXore3F/n5+bjqqqtw/fXXo6SkBL29vXjiiSfw6KOPoq2tDTqdDoWFhbjkkktw5ZVXylPEfvjDH+LJJ5/E4OCg/P3ef//96O3txX/+53/KHVT5+fn41re+hdLSUnzhC1+Ax+NBPB5HYWEhtm7digsvvBBbt25FMBhEKBSCzWZDSUkJ/v73v8s/p507d+L+++/He++9B4VCAZvNhi1btuDaa6+Vw9snsn37dnz1q1+VX99sNkOn0+G0007D/fffP+5zhoaGcOedd2L79u3weDwoKirCKaecAqVSiUcffRQ2mw1r167Fk08+mdEYv/e97+EPf/gDRFFEWVkZbr/99rSC1QsvvICHHnoIR44ckX+GF1xwAa677jpotVoAI11Xx/6fUCqV+POf/4zKysqsvjcnC9PPFhaj5hCLUQvLI488gptvvhkAcMEFF+C+++4DAHR2duKUU04BAHzsYx/DQw89JD/H5/Ph9ddfx/vf/35YrdasjKO5uRnl5eXQ6XRZeT2aH3xPLh08losfj+HSwuO5OLW0tGD37t3Q6/XysvapY/n8889j9+7duPrqq+d5lDRTfD8uLTyeS0e2j+VcFKM4TY+WrdHh5ZWVlfLtsrIyuZJ97Hxki8WCgoICuWI9W4IgwGQyMTeBiIiIlpRUh8R4F++KioogimLWQ4iJiGjxYDGKlq3RxajUyhMAoFQqUVVVBQBob28fE/S3YsUKOJ3OrAWPm81mFqOIiIhoyRBFEV6vF8lkEgUFBWMeLygogCAI6O/vn4fRERHRQsBiFC1LkiTh0KFDAEau2B0brJnKcIrH4+js7Ex7zGazwW63Z607ip1RREREtJQEAgFEIpFxw8uBkdX0FArFnK7QRURECwuLUbQs9fb2yp1NxcXFyMvLS3u8sbFRvt3S0jLm+Y2Njejv789Ke3mqM4rztImIiGgpSC1Rr1KpJszYVCqV8Hg8czgqIiJaSFiMomVp9BS9oqKiMS3kDQ0N8u1jc6OAkdUNbDZbVrqjDAYDJEnKynKuRERERPMttZy8yWSCQjH+xw2tVotwODyXwyIiogWExShalkYXo4qLi2GxWNIeT03TA8YvRgEj3VF9fX2zPpFSKBTQ6XScqkdERESLXiovShTFSVce1ul0LEYRES1jLEbRsjS6GFVSUgKdTpf2eG1trXx7omJUQUEBzGZz1rqjeEJGREREi53P50MymUQsFhs3vDzFZDKNWSSGiIiWDxajaFlKhZcrFAqUlJSMaSE3Go0oLCwEMFKMGi/PSRAENDY2oqenB5FIZFbjMRgM7IwiIiKiRW9wcBBqtRqJRAIlJSUTbmez2ZBIJOZwZEREtJCwGEXLTjwel7udiouLodfrx90u1R3l9XrhcrnG3aaoqAgmkwlHjx6d1ZhSxSiGmBMREdFiNjw8DEEQoFarYTKZJtyusLAQoijO+oIeEREtTixG0bLT2toqt4UXFxePmaKXMnpFvYmm6gmCgPr6enR3dyMWi2U8JoPBgEQiwXZ1IiIiWrQSiQR8Ph9EUYTRaJwwvBwYuaAHAE6nc66GR0RECwiLUbTsHBtebjAYxt1uxYoV8u2JilHASOaUXq+fdJupKBQK6PV6TtUjIiKiRStViIpGo7DZbJNuq9VqoVQqWYwiIlqmWIyiZSeVFwWMtIgfu5JeSkNDg3x7skKTIAioq6tDZ2fnrLqjWIwiIiKixWxwcFBeJS+VvTkZpVIJr9c7ByMjIqKFhsUoWnZGd0YVFRXBbrePu11dXZ18e6qup/Lycmg0GrS2tmY8LoaYExER0WLmcrmg1+uRTCbhcDim3F6tViMYDM7ByIiIaKFhMYqWnVRnlMFggM1mQ15e3rjbORwOOU+qpaVl0tdMdUd1dHRkvDIMi1FERES0WMXjcfj9/mmFl6ekuqiIiGj5YTGKlpVAIIDu7m4AQGVlJRQKxYSZUYIgoKqqCgDQ2dk55Wov5eXlUKlUaGtry2hser0e8XicIeZERES06Hi9XkiShHA4PK1CFAAYjUae9xARLVMsRtGyMnqKXmlpKRQKxYSr6QFAbW0tAECSpCmLTEqlEjU1NWhvb0cymZzx2FQqFbRaLbujiIiIaNEZGhqCXq9HIBCYMrw8xWazZdxRTkREixuLUbSsHJsXpVarJ112eLor6qWkOqna29szGh+n6hEREdFiNDw8jLy8PIRCoWmFlwNAfn4+RFGc1QIwRES0OGWtGOXxeNDa2sqrG7SgjS5GFRQUQKPRTLr9qlWr5NtT5UYBI91R1dXVaGtry6g7ymAwMDuBiIiIFpVYLIZQKASdTodEIoHi4uJpPc/hcECSJAwNDeV4hEREtNCoZvNkSZLw3HPP4cUXX4TT6QQA3HvvvSguLsb3v/991NTU4OKLL57yAz/RXEmFlwNAYWHhpFP0AKChoUG+PZ1iFADU1NSgra0NXV1dqK6untH4DAYDT8iIiIhoUUnlRYVCIWi1WhiNxmk9z2AwQKFQwOl0orS0NMejJCKihSTjzihRFHHnnXfit7/9rVyIGq2mpgYvvvgivv/977P1lhYESZLkzqji4mJoNBqYzeZJn1NdXQ1BEABMb5oeMJL9VFVVhZaWFoiiOKMx6vV6RKNRdhgSERHRojE4OAi9Xg+v1zvludWxVCoV3G53jkZGREQLVcbFqL///e/YvXs3TjzxRHzrW9/Cz372M2i1WvnxK664AnfccQeGh4fxt7/9LSuDJZoNp9MJj8cDAGhsbEQymYTVap30OVqtFg6HA8BIMUqSpGntq7a2FolEAj09PTMao1qthlqt5lQ9IiIiWhQkSYLL5YLdboff7592eHmKWq1GIBDIzeCIiGjByrgY9dprr+HMM8/EDTfcgOOOO07+wD5aaWkpLrnkErzxxhuzGiRRNozOi0oFjefl5U35vNS2oVAIfX1909qXWq1GZWXljApYKQwxJyIiosUiGo0iHA7DbrcjGAxOOy8qRavV8iIcEdEylHExqru7Gx/60Iem3K6xsREDAwOZ7oYoa0bnRZWXlwMATCbTlM+rr6+Xb093qh4A1NXVIRqNore3dwajZDGKiIiIFg+fzwcASCaTEEVx2ivppRiNRkZ6EBEtQxkXoxKJxJThz6nt4vF4prshyppjV9ITBGFaAZsrV66Ub083xBwANBoNysvLZ9wdxWIUERERLRapvCi32w2dTge9Xj+j55vNZmZlEhEtQxkXo4qLi7Fr164pt9uxYwdKSkoy3Q1R1qQ6oxQKBaxWK5RK5bRWely1apV8eyadUcBIV1UoFEJ/f/+0n2MwGBCJRGYcfk5EREQ0l0bnRblcrml1nB+roKAAoigimUzmYIRERLRQZVyMOvnkk/G///u/+NOf/pTWWptaeSwajeKPf/wjnn32WZx66qmzHynRLCSTSRw9ehTAyAp58XgcarUaCsXUb4HGxkb59kyLUTqdDmVlZTPqjlKr1VCpVOyOIiIiogUtHA4jEokgPz8fPp8Pdrt9xq9RWFgISZIwNDSUgxESEdFCpcr0ieeddx7efPNNPPbYY3jiiSdQVlaGeDyO++67D9FoFD09PYjH46isrMQ555yTzTETzVhbWxui0SiAkWl3kUgkbfXHydjtdphMJgQCgRlN00tpaGjA9u3b4XQ6pxXqKQgCDAYDwuFwRlcYiYiIiOaCz+dLO28pKiqa8WtYLBYIgoDBwcEZh58TEdHilXFnlE6nw3e+8x0cd9xxSCaT6OzshCiKaGpqQnt7O+LxONavX49bbrllWlOhiHJpdF7UqlWrEI/HYTAYpv38iooKAEBfX9+Mlx/W6/UoLS2dUXcUc6OIiIhooRsaGoJOp0MwGIQkSRkVoxQKBVQqFVwuVw5GSEREC1XGnVEAYLPZ8K1vfQutra3Yu3ev3F5bUFCA448/HjU1NVkZJNFsjS5GNTQ0YHh4GBaLZdrPr6mpkTOnWltbcdxxx81o/w0NDXj11VcxPDyMgoKCKbc3GAwzypkiIiIimkuiKMLlcqGwsBADAwPQarUZX4BWq9UzvthHRESL26yKUSm1tbWora3NxkuNEYvF8NRTT+Htt9+Ws3S2bNmCjRs3TvncAwcO4JlnnoHL5ZKvunzkIx/BWWedlZOx0sKVKiQBQHl5OYaGhmC1Wqf9/Pr6evl2c3PzjItRRqMRxcXFOHLkyLSKUXq9HuFwGKIoTivXioiIiGguhUIhxGIx2O12HDx4cEYX+Y6l1WrZEU5EtMzk/FNuLBbDK6+8kvHz77vvPuzatQvf//73cdddd2HLli2466678O677076vJaWFvznf/4nqqurcffdd+Puu+/Gli1b8Mtf/hIvvfRSxuOhxSlVjNLpdDCZTBAEYUYnTbNZUS+lsbERHo9nWm3oWq0WCoUCkUgko30RERER5VIqL8psNmccXp5iMBjkbE8iIloecl6MCoVC+OUvf5nRcw8ePIidO3fioosukgsHGzduxLp16/Dwww9Pmr/z5ptvIpFI4IILLpA7S0488URUVFTgtddey2g8tDiFQiF0dnYCAFasWCFfedPr9dN+jTVr1si3My1Gmc1mFBYWyqv6TSYVBsqrhERERLQQDQ0NQa/XQ6lUIhKJZJQXlWI2m5FIJLI4OiIiWugynqb39NNPT2u72XR27NixAwCwdu3atPvXrVuH9957Dy0tLWnTp0ZLFaCSyWTa/clkEqIoZjwmWnyOHDkiFy5XrlwJr9cLhUIBo9E47deoqqqCUqlEMpnMaEW9lMbGRvzzn/+Ex+OBzWabdFu9Xs9iFBERES04oijC4/GgqKgIw8PDADCtGIKJ2O12JJNJJJNJKJXKbA2TiIgWsIyLUU899VQ2xzGujo4O6PX6MdOpUsu+dnR0TFiMOvvss/Haa6/hsccew2c+8xmo1Wq8/PLL6O3txRe/+MWcj50WjtHh5StXrkQgEIBSqZxRyKZKpYLD4UBPTw9aW1szPlmyWq3Iz8/H0aNHceKJJ066rcFgwODg4Iz3QURERJRLgUAAiUQCeXl56O3thV6vn9Xq2alz+1QgOhERLX2zCjA/99xzodPp0u6TJAk+nw8DAwPYv38/TjnlFJSUlGT0+j6fDwaDYcz9qelVPp9vwucWFBTgu9/9Lu6//35cffXV0Ol00Gq1uOmmm3DCCSdMut94PI54PD7uY4IgzGh617HPzZbUa2XzNZeq0cWoVatWwel0QqPRzLiYVFVVhZ6eHsRiMXR3d6O6ujqj8axYsQI7duxAIBCQC63jHUej0ShPL+RxXvj4nlw6eCwXPx7DpYXHc+Hx+/1y/uaBAwdgsVimdXwmOpZ5eXkARqb+zWa6H+Ue349LC4/n0rEYj+WsilHnn3/+pCuSDQ0N4b777sOFF144m91k5MiRI/jRj36E0047Dd/+9reh0Wjw3nvv4b/+679w5ZVX4owzzpjwuc8+++yE0xBrampwxx13ZDSmTItyk3E4HFl/zaVm9LS6M844A48//jjy8vJmfDxWr14tTx11u9045ZRTMhpPSUkJOjs70dvbi8bGRgDjH0dJktDd3Q2r1TqjKYU0v/ieXDp4LBc/HsOlhcdz4WhtbYXdbkdNTQ22b9+ONWvWzOi8arxjqVarEYlEcnK+TNnH9+PSwuO5dCymY5lxMerWW2+FyWSadJuCggJcfPHFeOyxx3DTTTfNeB9msxldXV1j7g+HwwAw6WpoDz/8MBQKBa666iqoVCPf5vr167F582b88pe/xOrVqye88nLBBRfg3HPPHfex2VQa+/r6Mn7ueONwOBzo7++fNMidgPfeew8AkJ+fj0QigWg0CpVKNePjUVlZKd9+++23sWHDhozHVFZWhrfeegvl5eWor6+f8Dgmk0m0tbUhPz8/433R3OB7cungsVz8eAyXFh7PhSWZTKKrqwvFxcVoa2tDIBCAXq+f1nnVZMdSqVSiv78/q+fLlH18Py4tPJ5LR7aP5VxcGMi4GLV69eppbVdQUJA2TWomqqurceTIEfj9fpjNZvn+gYEBACPTpibS0dGBqqoquRCVUlpaimQyidbW1gmLUWq1Gmq1OqMxTyYXb3BJkviLYxJDQ0NysObKlSvh9/uRTCZhtVpn/HNbtWqVfLu5uXlWP3e73Q6r1YqmpibU19dPeBz1ej2CweCslkumucX35NLBY7n48RguLTyeC0PqXMpms8nnWHa7fUbHZrxjqdFoEAqFeIwXCb4flxYez6VjMR1LRa53cOjQoYyXak1Ng9q3b1/a/fv370dxcTHq6uoAjKzo4fV607ZJ/YE8duU8p9MJAFN2ddHScOjQIfl2aiU9QRDSipvTtWbNGvl2c3PzrMYlCAIaGhrQ398vd/qNx2AwTPo4ERER0VxKnXObzWYMDAxAr9ePufibCYPBgGg0OuvXISKixSHjvxwHDx6c8DFRFBEMBtHS0oIXX3xxwhXvprJmzRqcfPLJeOqpp7B27VpYLBbs3r0be/fuxQ033CBPmXvooYfw8ssv43vf+x5WrFgBAPi3f/s3PPzww/j973+PLVu2QBAEtLa24uWXX0Ztbe20O7tocTs2vDwVuDleMP5UrFYrrFYrvF7vrItRAFBYWAiVSoX+/v4xCwGkGAwGdHd3Q5KkRRVGR0REREvT8PAwdDod9Ho93G73pLEZM2E2m7mKMBHRMpJxMeq2226b1nYajQaXXXZZprvBtm3b8NRTT+GWW26BWq2GUqnEDTfcgI0bN8rbpAKeR69yd8455yA/Px9//etf8c9//lNeOe0jH/kIzjvvPCgUOW8KowXg2M6oVDEq00Dw8vJyeL1eDA8Pw+VyzWr6nCAIMJlMGBoaQnl5+bjb6HQ6iKKIaDQ6YcGKiIiIaC4kEgn4fD45INfv98uLscxWXl4ekskkksnkjFc8JiKixWdWPbWNjY3jtuUqFAro9XpUV1fjjDPOQEFBQcb70Gg0uPzyy3H55ZdPuM3WrVuxdevWMfdv2rQJmzZtynjftPililGCIGDFihXYsWMHBEFIK1zORFVVFQ4cOABgZJW+2WY5WSwWuFyuCYtRqfdSOBxmMYqIiIjmld/vhyRJsNlsCAaDiMViKCwszMprFxcXQ5Ik+Hw+5OXlZeU1iYho4ZpVMeqGG26A1WrN1liIskoURRw9ehTASBHJYDAgGAxCpVJBq9Vm9JqpnDJgpBh14oknzmqMNpsNbW1tk25jMBgQCoV4YkZERETzyufzAfi/KXWCIGRtkZW8vDwIggCn08lzHiKiZSDjuWrnnntuxh/oieZCR0eHHP69cuVKAEAkEoFWq804fymVSQbMPsQcGFl9JhwOTxrYmSpGEREREc0nl8sl50U5nU4YDIashJcDgEqlglKphMvlysrrERHRwpZxMerKK6+c1rShRCIxadg5Ua6MDi9fuXIlJElCPB7PKLw8ZXTwfUtLy6zGBwB6vR5qtRput3vSbbjUMREREc2nWCwGn88Hu90OQRDgdruzPkNCpVKNWSGbiIiWppyneAcCgWmHnRNl07HFqEgkgkQiAbPZnPFr1tXVQaPRAMhOZ5QgCLBarfB4PBNuYzAYkEgkEI/HZ70/IiIiokykFoGxWq3yytn5+flZ3YdGo5G72omIaGmbVl/tbDqbAoFAxs8lmo3RxahVq1bB6/XKK9hlSqVSweFwoLOzEx0dHYjFYnJxKlN5eXmTLmWsUCig0+kQCoVmvS8iIiKiTPh8PkiSBLPZLIeXFxUVZXUfer0efr8/q69JREQL07SKUexsosUotZKeVqtFdXW1PK3OaDTO6nXLy8vR2dmJZDKJjo4ONDQ0zOr18vPz0draOuk2qdwom802q30RERERzZQkSWl5UW1tbVAoFFk/LzGZTMyMIiJaJqadONjY2JhRQGEikcCRI0dm/Dyi2YhEImhvbwcA1NfXQ6VSIRAIQKFQQK/Xz+q1a2pqsGPHDgAjU/VmW4wqKipCOBxGPB6HWq0edxuDwcArhURERDQvotEogsEgSkpKIAgCBgcHYTQasxZenpJaZTiZTEKpVGb1tYmIaGGZ9l+QG264IaOQQo/Hg+uuu27GzyOajebmZiSTSQD/t5JeasrobALMgZHcqNH7mS2r1QqFQgGv14uCgoJxtzEYDBgYGJj1voiIiIhmKpUXZbFYACAn4eXAyAW6VB5Val9ERLQ0TSvA/PTTT884q0aj0eD000/P6LlEmUpN0QNG8qIAIBgMQqFQzHqaXqq4BWSnGJUa01Qr6sXjcYaYExER0ZxL5UWZTCYkk0mEQqEJL6DNRkFBAQRBwNDQUNZfm4iIFpZpFaM+//nPZzy1SafT4eKLL87ouUSZOnYlPQAIh8NQq9WzDgFfvXo1BEEAADmHarYsFsukSxmrVCpotVquMENERERzKpUXpdVqYTAYEAgEEI/Hsx5eDoxcxFYoFJMu7EJEREvDtIpRs+Hz+fCFL3wh17shSjO6MypVjIpGo9BqtbN+bbvdDrvdDmCkM0qSpFm/ptVqnXLlyVSIOREREdFciUQiiEQisNvtEAQBTqcTSqUyJ9P0gJELcMzJJCJa+madOphIJHD06FG4XC4kEokxjweDwdnugmjGUsUom80Gh8OBeDyORCIx6yl6AKBUKlFaWorh4WH4/X4MDg7O+upgXl4eDh06NGlgp16vZzGKiIiI5lQqL8psNgOAHF6uUOTmmrZGo5nyAh0RES1+sypG7dixA7/5zW/g8/myNR6iWXO73XA6nQBGuqIEQYDX65WzDrKhoqIC+/btAzDSHTXbYpTFYoEkSfD7/RMuk2wwGDA8PDyr/RARERHNROocKlWM8nq9E56rZINOp+PFNyKiZSDjSxqHDx/GvffeC5PJhM2bN0OhUOCkk07C6aefjtNPPx3r1q2DRqOBWq1mgDnNqfHyorxeLwRByEpnFADU1tbKt7MRYq5UKmEwGOByuSbcxmAwIBqNjtuBSERERJRtkiTB4/HIeVGJRCJn4eUpJpOJC7YQES0DGXdG/elPf8KGDRtw4403QqFQ4O2338YVV1yB4uJieRuXy4Xbb78dK1asyMpgiaZjvGJUqsXcYDBkZR91dXXy7WwUowDAbDZPGmKuVquhVqsRDoflq5NEREREuRIKhRCNRlFcXAxBEODz+ZBIJFBYWJizfdpsNnR0dOTs9YmIaGHIuDPq6NGjOO+88yadL26323HFFVfg5ZdfznQ3RDM2Xnh5KBSCIAgZrwp5rNTrAtlbUc9qtU4Z2MkQcyIiIporfr8fCoVCvgjmdDqhUqlgsVhyts/CwkKIosjcWSKiJS7jYlQoFErLyVEoFIhGo2O2KykpQU9PT6a7IZqx8YpRgUAgq51RNTU1cmErW51RNpsNwWAQoihOuA2LUURERDRXfD5fWubm0NBQTsPLASA/Px+CIGBwcDBn+yAiovmX8V8Sm82WttKFyWRCW1vbmO1aW1uZcUNzRpIkNDU1AQDKy8vlK3mRSAQKhSJrxSiDwQCHwwEA6O7uRjgcnvVr2mw2JJPJSVeQMRgMWdkXERER0WREUYTH44FGo4HBYIAkSfB6vcjLy8vpfnU6HYtRRETLQMbFqNLSUrzyyivy17W1tXjyySfTukSamprwP//zP/KHdqJc6+7ultu6R0+lC4fDUKvV0Gg0WdmPUqlEWVmZ/HU2puqp1Wro9Xp4PJ4Jt0kVoybrniIiIiKarWAwiHg8DqvVCoVCgXg8jkgkktO8KGBktoVKpeJq3URES1zGAeYbN27Er3/9awSDQXzxi1/E2Wefjbfeegvf+ta35KsnqQ6O8847L2sDJprMeFP0kskk4vF41lbSS6msrJRvt7S0YO3atbN+TbPZDI/Hk/bao6nVaqhUKoRCIbllnoiIiCjbUnlRqXwor9eLZDKJ/Pz8nO9bo9EwM4qIaImbdmfUbbfdlvZH4dRTT8Wll14qr5S3du1aXH755VAqlQiFQnIh6sMf/jDOOeecLA+baHyjV9JbtWoVgJG8KFEUs168qa2tlW9nK8TcYrFMeiUwlXvFqXpERESUS8fmRQ0ODkKlUs3Jir5arZbnOkRES9y0O6MOHjyIcDgsd5eYzWZ8/OMfT9vm/PPPxwc+8AE0NTVBkiTU1tamhZwT5dp4nVFerxeCIGS9M6qhoUG+nc0Q846ODkiSBEEQxt2GIeZERESUS8lkEl6vV86LAkbCy00mU07Dy1OMRuOUKwwTEdHiNqO/Jtdffz0eeOABHDlyZMJtbDYbNm3ahJNPPpmFKJpzqWKUWq1GXV0dgJE2c0EQ5NXvsqWxsVE+IctmMSoej09abNLr9SxGERERUc4EAgEkk0k5L0qSJPh8vpyHl6dYrVYkk8k52RcREc2PGRWjrrjiCrhcLnznO9/BV7/6VfzlL39huCAtGLFYTF7Rsb6+Hmq1GsDICVUuilF5eXkoKCgAMDJNLxuh4lqtFlqtFm63e8JtGGJOREREuZTKi0pN0YtGo4hEIvJ5T64VFRVBFEVO1SMiWsJmFGC+adMmnH322RgcHMT27dvx17/+Fb/73e9wwgkn4IMf/CDWr1+fo2ESTa25uRmJRAJA+kp6wWAwJ8UovV6PkpISOJ1ORCIR9Pb2ory8fFavKQgCTCYTvF7vhK+l1WqhUCgQiUTk1nkiIiKibEnlRaXyobxeL0RRnLNiVKoDy+Vypa1eTERES8e0O6OefPJJWK1WAEBhYSEuvvhi3H///bjhhhsAAHfeeSc+//nP43//938xODiYm9ESTWJ0ePnoYlTqqlq2M6NUKlXaCVK2pupNN8ScU/WIiIgo2xKJBHw+H9RqtXzRy+l0Qq1WZ/1caiJmsxmCIPAzBRHREjajzqhjCYKADRs2YMOGDfD5fPjHP/6B7du345lnnsHatWtx1lln4aSTToJKNavdEE3LRMWoSCQCpVKZkxOoqqoq+XZzczPOOOOMWb+m1WpFb2/vpCHmzI0iIiKiXAgEAgAg50UBwPDwMMxm85yElwOAQqGAUqmcNLaAiIgWt6z9RbFYLDj//PPxk5/8BN/97ndht9vxi1/8Atdddx0eeeSRbO2GaEIHDx6Ub69atQoAIIoiotEoNBpNToqitbW18u1sdUbZ7XZEo1FEo9EJt2FnFBEREeXCsXlRkiTB7/fPWXh5ikajkQtjRES09OTk8kYikUA8HkcymUQgEMBf//rXXOyGKE2qM8pisaC0tBTAyBS9ZDKZs2ylFStWyLdbWlqy8pp6vR5qtRoej2fCbVIh5pIkZWWfRERERMD/5UOl8qLC4TCi0eic5UWlaDQaRCKROd0nERHNnay1irjdbmzfvh3/+Mc/MDAwIN+vUChw/PHHZ2s3ROPy+Xzo6+sDMFIgSk1vS2Uv5aoYVVpaCrPZDL/fn7VilCAIMBqNcLvdcDgc426j0+kAjExBzHYwOxERES1P8XgcgUAgLS/K5/NBFEXk5+fP6VhMJhOcTuec7pOIiObOrIpRoihi9+7dePnll7Fnz560peaLiopw5pln4owzzoDdbp/1QIkm09TUJN8enRfl8/lyspJeislkgsPhgN/vx8DAAHw+HywWy6xf12KxwO/3T/h46nsKhUIsRhEREVFWpKbojc6H6u/vh0ajmfMVfC0WC3p7e+d0n0RENHemXYzaunUrHnzwQVitVgwMDODll1/Gq6++mjaVSKPRYNOmTTjzzDOxZs2aXIyXaFyHDh2Sb48uRqVOqlKdRNmm1+vhcDhw9OhRACNT9TZs2DDr17VarVOuIJPKjZrrK5VERES0NPn9fgiCIE/RAwCXyzWn4eUpBQUFEEURsVgMGo1mTvdNRES5N6POqB07duDtt99OC4oGRkKczzzzTLz//e+f86smRMDEK+kFg8GcdkapVCqUl5fLXzc3N2elGJWXl4dIJIJ4PA61Wj3uNgaDAS6Xa9b7IiIiIgL+b0peqhgliiICgQAqKirmfCypmRXDw8MoKSmZ8/0TEVFuzagY9fDDD8u3TSYTNm/ejLPOOguVlZXZHhfRjIwukI4uRkUiEQiCkNMiaXV1tXw7WyvqmUwmKJVKeDweFBYWjruNwWBAd3c3JEmSM7KIiIiIMhGNRhEKhaBSqeTzplAohFgsNufh5cDIND1BEDA4OMhiFBHREjSjYpQgCFi3bh3OPPNMnHTSSVCpspZ/TpQxSZLkziiHwwGbzSY/Fg6HAeQuwBwA6urq5NvZCjFXKBQwGAyTFqN0Op3cvq7VarOyXyIiIlqe/H4/lEpl2pQ8j8cDSZLmJRJApVJBqVTC7XbP+b6JiCj3ZlRNuvPOO9kFRQtOX1+fHPa9atUq+X5JkhCNRqFUKmE0GnO2/+rqaqhUKiQSiax1RgGA2WyG1+ud8HGFQiGHmLMYRURERLMxXl6U0+mcl/DyFJVKhUAgMC/7JiKi3Jp2EmFBQQHy8vJyORaijEyUFxWLxRCPx6HVanPaxWe1WlFcXAwAaG9vRyKRyNrrTraiHgC5GEVERESUKUmS5Lwok8kk3+92u7OySnCmdDqd3OVORERLy7SLUffff3/alRKihWKiYpTP5wOQ2yl6wEi+k8PhAADE43F0dnZm5XXz8vIQDoeRTCYn3Ca1oh4RERFRpiKRCKLRKBQKhdxNnkwmEQgE5CDx+aDX6xGNRudt/0RElDtzu0YrUQ5MFF7u8/lyupJeisFgSAvWzNZUvdSVyFRRbaJ9h0IhSJKUlX0SERHR8jNeXlQwGEQ8Hp+XvKgUq9WatY5zIiJaWFiMokXv0KFDAAClUomGhgb5/lT2gU6ny+n+lUolysvL5a+zFWKuVCphMBgmDe7U6/VIJBKIx+NZ2ScREREtP6lYgNFT9DweD0RRnJeV9FJsNhuSySRisdi8jYGIiHKDxSha1OLxuFz8qa2tTQvyDgaDUCgUOS9GCYKA6upq+etshpibTKZJQ8yVSiV0Oh2n6hEREVFGRudFHRtertfrc34eNZmioiIAgMvlmrcxEBFRbrAYRYtaW1ub3BU0eooeAITDYQiCMCcrwNTX18u3s1mMslqtk07TA0am6jHck4iIiDIRDoeRSCTGrD7sdrvnPS82FVnAYhQR0dKTuyXGsiQWi+Gpp57C22+/DbVaDZVKhS1btmDjxo3Tev7rr7+Ol156CbFYDKFQCDqdDmeeeSbOOeecHI+c5kJqih4wcTFqLq7oFRQUwG63w+Vyobm5GZIkQRCEWb9uXl4empubIYqinOFwLIPBwGWPiYiIKCN+vx8qlQpGo1E+14jH4wgGg6irq5vXsWk0GiiVShajiIiWoAVfjLrvvvvQ1dWF73//+7BYLNi1axfuuusu3HjjjXjf+9436XOfeOIJ7N69G1//+tdRUFAAURTx0EMP4d1332UxaokYvZLeqlWr0h6LRCIAkHaVL1eMRiOKi4vhcrng8XjgcrmyEvhptVohiiICgcCESysbDAY4nc5Z74uIiIiWn/HyokKhEBKJxLyGl6eo1eopu8SJiGjxyfk0vUgkgscffzyj5x48eBA7d+7ERRddJH8Q37hxI9atW4eHH3540hXEWlpa8Oyzz+Jzn/ucHLyoUChwySWXYMuWLRmNhxaeiVbSi8fjcsv5XEzTM5lMcDgc8tfZmqqnVquh0+kmvSKo1+sRi8W42gwRERHNiCiK4+ZFud1uSJIEu90+j6MbodVqGUdARLQEzUkx6o9//GNGz92xYwcAYO3atWn3r1u3DgMDA5OuWvb3v/8dNpsNtbW1afdbLJYxHTS0eKU6owwGAyoqKuT7g8EgkskkdDodVKrcNwDq9XqUlJTIX2czN8psNk96RVClUkGr1TLEnIiIiGYkFApBFEUIgpDWSb4QwstT9Ho9otHofA+DiIiybFqf0n/+859nvIPZLMXa0dEBvV4/ZnpScXGx/Pjo4OjRDh8+jKKiIuzcuRPPP/88vF4v9Ho9Nm/ejI997GOT5vnE43E5FPtYgiBAr9dn9P1kI0Po2NfK5msuNoFAAN3d3QBGuqKUSqX8mN/vl8PL5+JnpFarUV5eLn/d0tIyrf1O5zharVYMDQ1Nuk0qxNxqtc5g1JRNfE8uHTyWix+P4dLC45k7fr8farUaer1ePo+SJAkejwdWqzXrP/NMjqXZbJ7yPIjmDt+PSwuP59KxGI/ltIpRr776aq7HMS6fzzfuFKtUMWiybpGhoSEMDQ3hz3/+M2644QbYbDa8++67uOeee9Db24vPfOYzEz732WefxdNPPz3uYzU1Nbjjjjtm+J2MGN05ky2jp4YtNzt37pRvn3DCCWk/346ODmg0Gtjt9pz83MczuoOvu7t7Rvud7DjG43H09/fD4XBM+MslFoshEAjM2fdKE1vO78mlhsdy8eMxXFp4PLNvYGAAFosFpaWl8jlEJBJBPB7H6tWrc3ZeMZNjWV1djZaWFuTn50Oj0eRkPDRzfD8uLTyeS8diOpbTnr901VVXjSkMHThwAG+++SZOPvlklJWVwWazAQA8Hg96enqwc+dONDQ04PTTT8/qoKcjHo9DFEVceeWVyMvLAzCSN3Xqqafib3/7G/793/8dhYWF4z73ggsuwLnnnjvuY7OpNPb19WX83PHG4XA40N/fP2l21lL2xhtvyLcrKyvTfr59fX2QJAnJZDKrP/fJ2O126HQ6RCIRHDhwYFr7nc5xTAWYt7S0TBjGHg6H0dvbuyCyHZYrvieXDh7LxY/HcGnh8cwNURTR3d0NQRBQUFAgn7e43W5EIhGoVKqsn0Nlciw1Gg1EUURTU5OcA0vzh+/HpYXHc+nI9rGciyaHaRejTjvttLQpQEeOHMGLL76I++67Ty5CHeuKK67A7bffnnGAtNlsRldX15j7UyGGE60uBox0TwWDQVRXV6fdX1NTg9deew0tLS0TFqPUajXUanVGY55MLt7gkiQt218cx4aXj/45hEIhCIIAnU43Zz8fo9EIh8OB9vZ2dHZ2IhwOTztrYbLjqFarodFo4HK5Jnwv6fV6RCIRObSd5s9yfk8uNTyWix+P4dLC45ldqVX0JEmC0WiUf7ZDQ0NyeHmuft4zOZap8/2hoaEFsbofjeD7cWnh8Vw6FtOxnFaA+Te/+c205V4B4Omnn8Zll102YSEKAGw2G6644go899xzGQ2uuroa4XBY/mOZMjAwAACoqqqa8Lmp/B5RFNPuVygU495Pi8/oYtSxofThcHhW+V6ZMJvNclukKIpob2/PyusKggCTyQSPxzPhNqkCKkPMiYiIaDr8fj9UKhWMRqN8fgyMFH30ev2CmRKn1WqhUCgwPDw830MhIqIsmlYxav369WO6LZqbm1FaWjrlc0tLS9HR0ZHR4E455RQAwL59+9Lu379/P4qLi1FXVwdg5IO/1+tN22bjxo0AgM7OzrT7u7q6IAjChMHntDhIkoSmpiYAQFFR0ZjpaalVVzLtysuEyWSSw/WB7K6oZ7FYxhRlj2UwGFiMIiIiomlJnVeMvuA8Orx8oVAoFFCr1ZNmxRIR0eIzrWLUeOLx+LTmkff29iKZTGa0jzVr1uDkk0/GU089Jf8B2r17N/bu3YurrrpKzm966KGHcO2118rFCQD4yEc+gpKSEvzud7+Tp/U1Nzfj9ddfx4c//GEUFRVlNCZaGJxOp9wptHLlyrTHksmkXIyaKGMpF3Q6Xdrc2mwWo2w2GwKBwKQtlyxGERER0XQkEgkEg0Ekk0mYzWb5/mg0ikgksuCmw2k0Gp7jEBEtMdPOjDpWVVUVHnnkEXz729+e8OqJx+PBb3/720mn001l27ZteOqpp3DLLbdArVZDqVTihhtukDufAMBqtcJoNKZNydLpdPjud7+Lxx57DNdff73c4nvJJZfgYx/7WMbjoYXh8OHD8u1ji1HhcBiiKEKtVk87sykbVCoVKioq5K9bWlqy9to2mw2xWAzRaHTC78lgMEw6lY+IiIgIAAKBAJRKJURRTOuM8vv9SCaTC25BFL1eP2WHOBERLS4ZF6POO+883HPPPfjSl76EE088EbW1tbBYLJAkCT6fD62trdi1axcikQi+9rWvZTxAjUaDyy+/HJdffvmE22zduhVbt24dc39eXh62bduW8b5p4ZqsGJXqotNqtVCpMv4vPmOCIKC6uhoKhQKiKGa1M8pgMEClUsHtdk+4soHBYJALcaOzH4iIiIhG8/v9UCqV0Ov1aecMqYtaqZWoFwqTyQSXyzXfwyAioizK+JP6pk2bcOmll+LJJ5/E66+/jtdff33MNoIg4LLLLsNJJ500q0ESHevYlfRG8/l8UCgU0Gq1cz0sWK1WFBYWYmBgAC0tLZAkSZ5OOhujQ8wnKkap1WqoVCqEQqExCw4Q0fSFw2F0dnbmZFVVIqKFYLy8KAAYHBxcUOHlKXl5eWhra0MymeSqwURES8Ss2kY+/vGPY/369Xj++edx6NAheZWL/Px8rF69Gh/96EdRXV2djXESpTl06BCAkSJNY2Nj2mN+v3/eilFGoxElJSUYGBhAMBhEf3//hMWjmTKbzZOGdwqCIHdHsRhFlJlYLIajR49Cq9WirKxsTnPniIjmQiKRQCgUgkqlSsuLEkURHo9n0pWy50tBQQEkSYLX611wUwiJiCgzs57DVF1djf/4j//IxliIpiWZTMpT4Kqrq9OywgAgFApBoVDMaV5Uyngr6mWrGGWz2TA4ODjpNgwxJ8pcIpHA0aNHYTabYbFY0NfXx5VXiWjJ8fv9UKvVSCaTaRevIpEIYrHYgiz2pPJpXS7XghwfERHNHINlaNFpb2+XV8tbtWrVmMfD4TAUCsWYItVcOLYYlc0Q87y8PEQiEfl7H49er2cxiigDqSK3RqNBLBbD4OAgPB4PAoHAfA+NiCir/H6/PP1/dF6U3+9HIpFYkMUeg8EAhUIhz8IgIqLFb9bFqFgshtdeew0PPvggfvSjH8nBhzt27OCqF5QTk4WXA5CLNfPRGaXT6eBwOOSvsxlibjQaoVQq4fV6J9xmdIg5EU2PKIpobW2V891EUURBQQGUSiX6+vrmeXRERNmVOj+3WCxp97tcLgiCsCCLUQqFAiqVatJzICIiWlxmNU3vwIEDuPfee9OWk08VAv7whz/ggQcewLZt27Bp06ZZDZJotFReFDC2GCVJEmKxGFQqFQwGw1wPDWq1GhUVFfLX2SxGKRQKGI1GeDweFBUVjbuNVquFQqFAJBKZl++faLGRJAkdHR2IxWLQ6XSIRqNYsWIF7HY72tvb5e4o5rAR0VIQj8flDvLReVEAMDQ0BKPROKcrEc+ERqNBMBic72EQEVGWZNwZ1dvbK3dCNTY24v3vf3/aH68bbrgBp512Gn7605+ira0tK4MlAiZfSS8SiSAejwPAvAQPC4KAoqIi+YNrNotRwMg0wMmuCgqCwKl6RNMkSRK6u7sRCATkrsKGhgaoVCoYjUbk5+dDoVCwO4qIlgy/3w+VSgWFQpF20UoURfj9/gUZXp6i1+snjSogIqLFJeNLH3/4wx9gMBjwgx/8AFVVVQCAd955R368qKgIn/vc5yCKIv74xz/iK1/5yqwHSwT83zQ9nU43ZrXGVA6CUqmct84go9GI0tJSHDlyBH19fVntqrBarejo6Jh0G4aYE03PwMAA3G43zGYz/H4/VqxYAbVaDZ/PB7/fD4fDgaGhIXZHEdGSkVpx2Gg0ylOTgZHFX2KxGPLy8uZxdJNLdYcTEdHSkHFn1P79+3HVVVfJhaiJnH322VkNcablLRwOo7OzEwDQ2NgIpVKZ9rjP54MgCNBoNGmhnHPJaDSmraDX2tqatde22+0Ih8NIJBITbsNiFNHUhoaG0N/fD4vFAp/Ph8bGRmi1Wng8HrS0tMDpdCIUCqGwsBCCILA7ioiWBL/fD1EUx+RF+f1+JJPJBZkXlWK1WpFMJpFMJud7KERElAUZf1r3eDyora2dcjubzQaXy5XpbojSHDlyBJIkARg/vDwQCEChUMxLeHmKyWRKy3TKZjE2le8wnRDz1M+JiNJ5PB50dXUhLy8PHo8HDQ0N0Ol0cLlcaGtrQ3V1NRobG9Hd3S2/l91uN1fWI6JFLRaLIRKJIJlMjsmLSoWXL+TOqPz8fHk6IRERLX4ZF6MMBgOGhoam3K6rq2tesntoaZpqJb1UMUqr1c7lsNKYTCYUFxfLX2czNyo1/XCyNnWdTgdJkpirQDQOv9+PtrY25OXlweVyob6+Xv571tHRgdraWuTl5aGwsBB6vR5DQ0MoKipidhQRLXp+vx9KpRIajWbMedJCDy8HIBfKeJGbiGhpyLgY1djYiMceewyxWGzCbUKhEJ544olxiwZEmRgdXr5q1aoxj4fDYSiVynntjNLpdHA4HPLX2Q4xN5vNU4aYc6oe0VihUAgtLS2wWq1wu92oq6uDyWSC0+lEd3c36uvrYbVaAYy8jyoqKjA4OAibzQZBEOByudgdRUSLVirKwGKxpOVFJRIJBAKBBd0VBYzEICgUChajiIiWiIyLUeeffz5aW1uxbds2PPHEE3j77bchSRLa2tqwa9cuPPHEE/jqV7+Kzs5OnH/++dkcMy1jk62kB4yspicIwrwWo9RqNUpKSuSri9nOTLNYLFO2qLMYRZQuGo2iublZXpGyuroaFosF/f396O3tRX19/ZhpK3q9HoWFhejv70dRURGzo4ho0ZIkSc6LOvZ3XSgUQjwen5O8qJ6eHhw4cACiKM74uSqVCkqlctILckREtHhk3Iu7cuVKXHXVVfif//kfPPvss/L9P/nJT+TbgiDgmmuuQX19/exGSfT/NTU1ARgJ8i4sLEx7TJIkxGIxqFQq6PX6+RgegJH/92azGQ6HA93d3WhtbUUymRwTtp6pvLw8NDc3T/qaBoOBVw6J/r94PI6jR49Cp9PB7/ejsrISNpsNPT09GBoaQmNj44Srb5aUlODAgQPIy8uDUqmUu6O4sh4RLSbRaBTRaFQ+RxktEAggkUjkvDMqkUhgYGAA+fn58Pl8qKysTOvQmg61Ws0OVSKiJWJWy42dc845+O53v4sNGzZAo9HI92s0Grzvfe/D9773PZx99tmzHiQRAAwPD2N4eBjASDH02BOYeDyORCIBQRDmPafMYDCgtLQUwMgJYHd3d9Ze22KxQBTFSU/G9Ho9QqEQQ8xp2Usmk2huboZSqUQoFEJZWRnsdju6u7sxPDyMFStWTFiIAkauxJeVlaG/vx/FxcXsjiKiRSmVF2UwGKBWq9MeGxoaglKpzHkxyul0wmQyYcOGDfD7/ejp6Znxa+j1ekQikRyMjoiI5tqsUwpXrlyJb3zjG2mrW5jNZigUs6pzEY1x6NAh+fZ4eVGBQACiKEKSpHntjAJGcg2OzY2qqqrKymtrNBro9Xq43W453+ZYer0eoigiFovNa5g70XwSRREtLS0QRRGJRALFxcUoLCxEZ2cn/H4/VqxYMa33R35+PoaGhiBJElQqFYaHh1FSUsLuKCJaNPx+v5wXdazh4WGYTKacnrsnk0k4nU7U1dVBq9WioaEBhw8fhkqlSjtfmorRaORqekRES0TW/uooFApYrVZYrVYWoignRhejxsuL8vv9UCgU8pW/+WQ0GnO2oh4AOfdmIgqFAjqdjrlRtGxJkoT29nZEo1EkEgnk5+ejqKgIbW1tCAQCaGxsnHahNhVmPjQ0hPz8fABAb29vLodPRJQ1kiTB5/MhmUyOmaIXj8cRDAZz3hU1NDQErVYr71+n06GhoQH9/f1y1/t0WK1WJBIJJJPJXA2ViIjmSMZVo5/+9Kc4evTohI/v3LkTX/jCF7Bt2zZ88YtfzHQ3RLKpwstTq8RoNJp5L4iaTCYUFRXJXzPEnGjuSJKE7u5u+P1+SJIEm82GkpIStLW1IRKJoLGxMW1q+XQYjUbY7XZEIhFoNBoMDw8zt4SIFoVIJIJ4PA5BEMZ0dAaDwZznRYmiCKfTCYfDkRaxYDAYUFtbi87OTng8nmm9VkFBwZRRBUREtDhk/In9zTffxHe+8x0888wz4z6+cuVKfOELX8AnPvEJOJ3OjAdIlDK6M2rFihVjHg8EAlCpVDP+kJkLer0+re0828WovLw8BIPBSVejMRgMCIfDWd0v0WKQutKeCuotKytDS0sLEokEGhsbx+SlTFdpaSnC4bC8LDq7o4hoMUh1jpvN5jELnwQCASSTyZyupOd2uyEIAmw225jHLBYLqqur5a7VqaRew+12Z3mUREQ012bVPiJJEp588kl873vfG7Nyl81mw+rVq7mSHmWFKIryVLeqqqpxA8rD4TAUCsWCyEhSq9WwWCzyyV22p+ml2tQn63wyGAwIBoMMMadlZXBwEH19fVAoFDAYDHIhCgAaGhqgUmUelahWq1FaWopQKMTuKCJaNFJ5UcdO0QNGfmcqlcoJMyhnS5KktAUgxpOXl4fy8nI0NzdP2dFtNBohCAKLUURES8CsilE33XQTHA4HDhw4gK9//et49913szUuojSdnZ1yl894U/SAkTb0VFbSfBMEAXq9HmVlZQBGshKyeeKk1Wqh1WonfU29Xo9EIoF4PJ61/RItZG63G11dXVCpVNDpdKisrERLSwuUSiXq6+vHdARkorCwUH59gNlRRLSwpfKiEonEmGKUJElwuVw5XXjI6/UimUzKeXsTKSwsRHFxMZqbmxGNRifcTqPRQKVSTXtaHxERLVyz+stTW1uLO+64A5s3b4bf78edd96JX//610gkEtkaHxEA4PDhw/LtqYpR872SXorBYEBJSYn8dTan6gmCAKPROGmIuVKpZIg5LRt+vx9tbW3yVN2Kigo0NzdDo9GgtrY2ax+0UmHm4XAYGo0GQ0ND7I4iogUrHA4jHo9DrVaP6SqPxWIIh8M5zYsaGBhAUVHRtH4HOxwO2Gw2HD16dNILaWq1mr93iYiWgFmfnet0Omzbtg3btm2DTqfDiy++iJtvvplXiymrpgovTyaT8onLQilGHbuiXrZzo6xWK3w+36TbMDeKloNQKITm5maoVCqoVCpUVFSgpaUFer0+q4WoFLPZDLvdLnda8e8dES1UqbyoVNbdaLkOLw8EAgiHwygoKJjW9qliv8FgQHNz84Qr5mm1Wp7bEBEtAVk7Q9+8eTPuuOMO1NbWoqOjAzfddBNefvnlbL08LXOji1GrVq0a83goFJKzkQwGw5yNazLHrqiX7dwom82GQCAwaSYUV9SjpS4ajeLo0aMQBAEKhQIVFRVobW2VQ3EnyiiZrbKyMoiiCKVSicHBQV6lJ6IFKbXy7nh5UbkOL+/v75enNk+XIAiorq6GSqVCS0vLuAu1GAwGxGKxbA6ViIjmQVYvFzscDvzgBz/Aueeei1gshgcffBC//OUvs7kLWqaampoAjGQF1NTUjHnc6/VCEASIojhuuPl8MBqNOS9GxeNxRCKRCbfR6/UsRtGSFY/HcfToUUiSJBei2trakJeXh4qKipwVooCR30WlpaUQBAGSJLE7iogWHFEU4fP5kEwmYbFYxjzudDqhUqnGLVTNVjgchs/nQ2Fh4Yyfq1AoUFtbC1EU0d7ePuaim8ViQSKRmLBzioiIFodZFaN27NiBV199Ne2KsFKpxJVXXombb74ZFosFR48enfUgaXmLRqPo6OgAANTX1497hS3Vhr5QAsyBkSmsdrtdXt0v28UovV4PtVo9aYhn6uohc9xoqUkmk2hubkY8HocgCCgrK0NbWxsKCwtRVlaW00JUSlFREfR6PRQKBbujiGjBCYVCiMfj0Ov1Y1YajsfjcLvdsFqtOQkv7+/vR35+PjQaTUbPVyqVqKurQzgcRldXV1pBqqCgAKIocqoeEdEil/Ffn1WrVuHtt9/GP/7xD7kFeLTjjz8ed911F4477rhZDZDo6NGj8tWvicLLA4EAlEoltFptzlaEmSmNRgONRoPy8nIAQEdHR1bbylMh5pMVo1QqFbRaLbujaEkRRREtLS3y/+vS0lJ0dXWhpKQEJSUlc1KIAkau3ldWVgIYKY6xO4qIFpLUhTqz2Tzm92JqlTubzZb1/UajUbjd7rTczEyo1WrU19fD4/Ggr69Pvt9ut0MQhKyuUkxERHNv+pO4j/Hd7353ym2sViu+9a1vYWhoKNPdEKWtpDdeXhQwcvVPqVRmfAUuFwRBgF6vR1lZGVpaWpBMJtHZ2Yn6+vqs7cNisUy6oh7wf1P1xmvRJ1psJElCW1sb/H4/BEFASUkJuru7UV5entF0kNmyWq0oKipCT08PnE4nSktLYTKZ5nwcRETH8vv9kCRp3L//LpcL8Xg8J+HlTqcTNpstK53qWq0WDQ0NaGpqglqtRmFhoRzH4Ha7UVFRMet9EBHR/Mh5C0kkEsE//vGPXO+GlrCpVtIDRrIJUp1RC4nBYEBpaan8dban6lmtVoaY07IhSRI6Ozvlq+FFRUXo6+tDZWXlvBSiUioqKqBWqxGPx9HT0zNv4yAiSknlRUmSNCYTShRF+UJxSUlJVvebSCQwNDQ0666o0fR6Perr69Hd3Q2XywWNRgOlUsnOKCKiRW5OilFPPfVUrndDS9h0ilHRaHRB5UWlGAyGnIaY5+XlIRaLIRqNTjoGFqNoKejr68PAwAAAID8/H4ODg6iurkZ+fv68jkur1aKqqgqiKMLpdDI7iojmXTAYRDKZhMlkGtM17vP5EAwGYbfbs95R7nQ6YTQas76YjMlkklfsDgQCUKlU8Pl8Wd0HERHNrWlP0ztw4ADeeustnHXWWaiursbPf/7zaT2PS6/SbKVW0rNareNewUsmk4jFYtBoNAuuGGU2m9M+KGe7GGU0GqFQKODz+Sb83g0GA6LRKJLJJJRKZVb3TzRXBgcH0d3dDUEQkJeXB7fbjdraWlit1vkeGoCR7oKenh54vV709PRgxYoV8z0kIlrGUnlR403R83g8iEajqK2tzeo+k8kknE5n1l83xWq1orKyEq2trdBoNJOuJkxERAvftItRd999N4LBIFpbW/GDH/wAr776ai7HRQRg5ITJ6XQCGOmKGi+YOBKJIJlMQhAEGAyGuR7ipIxGY9r0oWwXoxQKhRxiProDazS1Wg21Wo1QKJST5ZuJcs3lcqGtrQ3ASIHX7/ejvr5+Qf1/VigUqK+vx65du9Df34+ysjJmRxHRvPH7/Ugmk2N+T0qShIGBASSTSZSVlWV1n8PDw9BqtTn93Zyfn49EIoEjR47wgjcR0SI37WLUueeei3/+85/48Ic/LN931VVXTfnhPxQK4ZFHHsl8hLSsjQ4vn2wlPUEQkEwmF1wxSqfTQafTobi4GAMDA2hpaYEkSVld7ctkMk0ZYp6aqreQPrwTTUcgEEBLSwtEUYTJZEIkEkFDQ0PWp4BkQ15eHoqLi9HT08PuKCKaN6Iowuv1yivpjRYIBODz+ZCXl5fVbnJRFDEwMICysrKcr2haXFwMq9WKnp4euTOeiIgWn2kXoy688EJceOGFafeddtppU06R8Hg8LEZRxg4dOiTfnqgYlWpFF0VxwRWjUiGbFRUVGBgYgM/nw+Dg4IRdTJmw2Wxy18hEDAYDwuFw1vZJNFc6OzsRjUZhMpmQSCTQ2Ni44N7nKYIgoLGxEf39/ejp6WF3FBHNi0AgAFEUYbPZxkzP93q9iMViqKyszOo+3W63PI16MpIkTbroynRVVlaiu7sbBw4cwLp166BSZbxAOBERzZOMA8xvvfXWaZ1km0wm3HrrrZnuhpa5AwcOyLdXrVo17jZ+vx8qlWpBBpgLggCdTpfWCp+LEPNIJIJ4PD7hNgwxp8UoFAqhr68PKpUKgiBg5cqVC7YQlaLX61FTU4NgMIiurq75Hg4RLUN+vx+CIIzJi5IkCU6nE/F4PKtT9FJT/4qLi6fsiurq6sLu3bsnPWeZDrvdDkEQkEgk5O5ZIiJaXDIuRq1evXpaYciiKGJwcDDT3dAyN7ozaqIpL8FgEEqlEhqNBgpFzheInDGj0ZgWvJ7tYpTJZIIgCJOuKmMwGBCJRHiyRotKb28votEotFotVq5cueCKzROpq6uDTqdDV1cXV9Yjojnn8/kgiuKYKXqRSATDw8OwWCxZ7dr0er1IJBJTrmwai8UwNDQEjUaDw4cPz6pj22g0QhAEaLVaAEBrayvPcYiIFpmcf3IPhULTXnmPaDRJknD06FEAQFlZ2bgrwgAj/8eUSqV8QrLQHBti3tLSktXXV6lU0Ov1cLvdE26jVquhVCo5VY8WjXg8ju7ubqjVatTU1CzY9/d4lEolVq5ciWAwiM7OzvkeDhEtI8lkEj6fD2q1eky2nsfjQSwWQ3FxcVb3OTAwgKKioikvCA4MDMBqtWLt2rXIz89HU1PTpBfSJmMwGKBQKOD1elFXV4dYLIbOzs6sTAEkIqK5Ma0J1rNZOY9TgyhTPT09CAaDACbOiwKAaDQKtVq9YAMsjUZj2tXCbBejgJEVxiYLMU+tNBgKhRZk8DPRsZxOJ0KhEIqKiqbMJlyIysvL0dLSgo6ODlRWVjI7iojmhN/vhyiKyM/PH1McGh4eRiwWQ3l5edb2FwgEEA6HUVdXN+l28XgcQ0ND8srIpaWlUKvVaGlpQWVl5ZRdVcdSKBRQqVRyVEN9fT2amprQ09OT1e+PiIhyZ1rFKHY20XwYPUVvorwoSZLkaTx6vX6uhjYjRqMRZrMZRqMRwWAw69P0AMirykyGuVG0WIiiiI6ODigUClRUVOR8ZaZcEAQBa9euxWuvvYa2tjasW7duvodERMtAKi/q2Cl6sVgMAwMDMJlMWS3w9/f3o6CgYMoAcafTCZPJlJb7V1BQAI1Gg9bWVsRiMTgcjhn9vtdqtfJ5jUajQUNDA5qamqBWq7Pe/UVERNk37aUnTjnllIw6T6LRKHbu3Dnj5xFNZyW9WCyGZDIJQRAWbDFKp9NBEARUVlbi0KFD6O7uRjgczup4bTYbjh49ikQiMeEJoV6vx8DAQNb2SZQrbrcbPp8PJpMJBQUF8z2cjBUUFKCkpATt7e2oqalhdxQR5dxEeVFerxfRaDSrweXhcBg+n2/KlfkSiQQGBwdRX18/5jGLxYIVK1agubkZ0WgUlZWV087/1Ov1aV3hOp0ODQ0NOHLkCFQq1Yy7rYiIaG5Nuxh19dVXZ3QlxePxLIhi1OOPP44//OEP+PznP48zzjhjvodD0zB6Jb2JilF+vx/ASCfFQg031mq1UCqVqKiowKFDhyBJElpbW7FmzZqs7cNisUCSJAQCAdhstnG3MRgMCIfDEEVxQQa9EwEj3Y5dXV0QRREVFRXTWihjIVu7di3+/ve/o6mpCe973/vmezhEtIQlEgl4vV7o9foxF7xcLhei0WhWp7D19/cjPz9/yovVg4OD0Ov1Exbk9Xo9VqxYgZaWFjQ3N6O2tnbKTitgJKJgaGgo7T6DwYDa2lq0tLRAqVROeE5ERETzb1qfSLds2ZLxB32dToctW7Zk9FxgpPPlsccew5e//GXccMMN+MY3voFdu3bN6DX6+/vxl7/8JeMx0Pw4fPgwgJGA7omyCAKBAJRKJZLJ5ILNQkp1bY2+GpntqXpqtRo6nQ4ej2fCbbRaLRQKBSKRSFb3TZRNwWAQTqcTer0eDodjvocza2azGVVVVejs7Mw4qJeIaDpSF+hsNlvadLdkMone3l7o9Xrk5eVlZV+xWAxut3vK6XDJZBJOp1P+fS5J0rgh4xqNBo2NjVAoFDhy5Aii0eiUY7Db7RBFccziLBaLBdXV1Whra+OKpkREC9i0ilEXXXRRxisZqVSqWXWA3Hfffdi1axe+//3v46677sKWLVtw11134d133532azz88MNYv359xmOguReLxdDW1gYAqK+vn/Cqm9/vh0KhQDKZTMshWGgMBkPaCVu2Q8wFQYDJZJq0GJUqinFFPVrIenp6EI/HUVpauqhW0JvMqlWroFAo0ro9iYiyLVWMOnaKns/nQzgcntaKd9OVWhlvqovVQ0ND0Gg08orIHR0deOedd8a9MKZUKlFXVweTyYSmpiZ5EZuJpLqexjv3ycvLQ3l5OZqbm5mXSUS0QOV8rk4gEMBtt92W0XMPHjyInTt34qKLLpL/iG3cuBHr1q3Dww8/PK3lW3fv3o2BgQF89KMfzWgMND9aWlqQTCYBTL6SXiAQgFqthkKhWNAfXI1GY1r2Ta5CzFMnohNhiDktZLFYDN3d3dBqtSgtLZ3v4WSNXq9HfX09ent74XK55ns4RLREeb1eSJIknzOnpKboZev3aiKRwNDQ0JTdq6IoYmBgQA4mD4VCcLlcsNlsOHz48LhFJEEQUFFRgeLiYhw5cmTSi2yp73OibQoLC1FcXCznURER0cIy7cyoiXg8HuzduxculwuJRGLM47OZErRjxw4AI5kbo61btw7vvfceWlpaxg1DTEkkEnjkkUfw6U9/etHnjiw30wkvB4BQKASVSgWVSrWgc5BMJhNsNps8pTDbnVHAyBXCtra2STOhDAbDmHwFooWiv79f/sC01MK+6+rq0NbWhn379uH000+f7+EQ0RITj8fh8/lgNpvTuslFUURvby80Gg2Kioqysi+n0wmj0ThlPMLw8HBablNPTw+KiorQ2NiIeDyOtrY2OByOMavoCYKA4uJiqNVqtLW1oby8HIWFhWNe32AwQKFQwO12TzgGh8OBeDyO1tZWrFy5clGuzkpEtFTNqhj1pz/9CU8++eS4Rahs6OjogF6vH3OFJzXdqaOjY9Ji1F/+8heUlZXhuOOOm9H0iHg8jng8Pu5js1m1LZt/AFOvtVT/qB48eFC+vWrVqgm/z0gkApVKBa1Wu6B/FkajEQqFAmVlZejs7ERLSwskSZKLRtkYu9VqhSiKCAaDY94zo8fR1dWVtX3S/1nq78lcE0URnZ2dUKlUM1pNKRdycSxTAb179+6VOwUod/h+XFp4PKeWykbKy8tL+zkFg0H4/X4UFRVl5cJsMpnE4OAgamtrJz0ekiRhYGAApaWlUCgU8Pl8CIVCcgZofn4+dDodWlpaEAqFUFNTM2Z8+fn50Gq1aG5uRiwWQ1lZWdo+1Wo1lEolfD7fhGNJdVrt3bsXgUBgwvMjmj6+H5cWHs+lYzEey4yLUbt27cJjjz2GdevWoaGhAX/84x/x4Q9/WL6a7XK58K9//QuBQADnnntuRvvw+Xzj5gClikGThcG63W78+c9/xu233z7j/T777LN4+umnx32spqYGd9xxx4xfEwBKSkoyet5kluoHmtGdQ6effvqEP7vU8sU2my0nP99ssVqt2LNnD+rr69HZ2YlwOIxkMimHmmfjOEqSBKvVCqVSOeHPQpIkdHd3w2azLeiMrcVsqb4nc62npwexWAwlJSVYvXr1guh0zPaxzMvLQ09PD5qbm3H88ccviO9xqeP7cWnh8ZyYz+eD0WhEbW1tWhdRavr+2rVrs3Ke1N3djcLCQjQ2Nk76gWdgYAAWi0XOje3p6cGaNWvk1fxSx7KyshIHDx5Eb28v1q5dO+65SXl5Ofbu3Qu3242VK1emFa2MRiPi8fiU31s8HofX68WKFStm/D3T+Ph+XFp4PJeOxXQsMy5GvfDCCzj99NPx+c9/HgDw3HPP4ZxzzkkLaY5EIvjhD384Lx96H330UXzoQx+acpWP8VxwwQUTFtBmU2ns6+vL+LnjjcPhcKC/v39a2VmLzd69ewGMhHCq1epxf3bxeBzhcBjRaBSJRCKrP99sE0URiUQirUX+n//8JzQaTVaPo1KpRGtr66St86IooqmpaVH9oloMlvp7MpckScK7776LaDSK/Px8DAwMzOt4cnksq6qq8K9//Qs7d+5ETU1NVl+b/g/fj0sLj+fU2traEAqFEIlE5PMhSZKwf/9+JBIJaDSaWZ8niaKIAwcOoLy8HP39/RNuJ0kSDh48iKKiIvT398PlcmF4eBglJSXo7+8fcywLCwvR09ODf/zjH6ipqZGn9Y1WWlqK5uZmOJ1O1NXVQa1WAxjpjvL7/VN+b0qlEt3d3dOaXkiT4/txaeHxXDqyfSznotEj42JUW1sbtm7dOuk2Op0OW7duxW9+8xucf/75M96H2WyWpxSNlloNbKJW26amJhw8eBA/+clPZrxPYOQPW+qPXDbl4g0+0RK5i5nP55NPclJXsMb7HgOBgPz963S6Bf1zEAQBOp1O7oQCRkLMzzjjDADZO44WiwVut3vS1yopKUFzczPy8vImXKWQMrcU35O55vP5MDw8DIPBgMLCwgXz88vFsSwrK0NLSwsOHz6MsrKynPytof/D9+PSwuM5vlgsBp/PB7vdDqVSKf+MQqEQ3G43CgsL0+7PlMvlgiAIsNlsk76Wx+NBIpGA3W5HMplET08PSkpKIAiC/Lxjj2VZWRn0ej1aW1tRXFwsb5+iVCrR0NCA9vZ2HD58GPX19dDpdDCZTHC5XFN+b0qlEgUFBejv70dtbe2sfg40gu/HpYXHc+lYTMcy42JUJBJBXl6e/LVSqRx3lS673T7p1ZPJVFdX48iRI/D7/WnL1KaumldVVY37vD179kCpVOKWW25JGy8APPnkk3juueewZs0afOpTn8poXJRb+/fvl29PtZKeQqFAMpnMOMdrLun1+rTW+VysqGez2dDd3T1piHlqWmN3dzdPyGhB6OrqQiKRQHl5+ZIvzmg0GjQ0NGDPnj1oaWmZ9HccEdF0pKbiWa3WtPu9Xq88/Xm2UhlQxcXFU2ZF9ff3o7i4GAqFAk6nE4IgID8/H8lkEp2dnYhGo+OugGy326HX6+UcqerqaqhU//dRRaFQoKamBr29vTh8+DDq6uqQl5eHtrY2xGKxKS+wFRUV4cCBA4hEItDpdJn/MIiIKCsyLkbZ7XZ4PB55uXqLxYKmpqYx0w5GB1HP1CmnnIKXXnoJ+/btw6mnnirfv3//fhQXF8shiKIowu/3y3+Et27dOqZr68CBA7jtttuwdetWuRuFFqbXXntNvr1hw4YJt/P5fFCpVIjH44si/8hoNCI/P1/+OhfFKKvVikQigXA4PGkbellZGQ4ePAifz8cwT5pXqSklOp1uQee+ZVNpaSlaW1vR3t6O8vLyJbdyIBHNLa/XC0mS0i7cAkBvby8kSUJpaWlW9pFIJNLOY8bj9/sRjUZRUFCAZDKJvr4+VFVVIRaLyXmgPT09E05T1uv1WLlypdwBVVdXl3bBURAElJWVQaPRoLm5Wb6A4Xa7p4zm0Gq1yMvLg9PpRGVl5Uy+fSIiyoGM01MrKirwl7/8Rf66oaEBTz31FN58800Eg0EEg0G88cYbeOyxx+Swwplas2YNTj75ZDz11FNyWPnu3buxd+9eXHXVVfKVmYceegjXXnstmpqaMv12aAEZXYzavHnzhNsFAgGo1Wokk8lFMf/fZDJBrVbLWQijQ9qzRa/XQ6VSwev1TrqdRqNBSUkJurq6IIpi1sdBNF29vb2IRqNwOByLoqicDWq1GnV1dYjH42hubl40rdREtPBIkgSPxwOVSpVW2I7FYnA6nSgoKMjKlPyBgQEUFRVNufBCf3+/vHLfwMAAdDodFAoFDh8+DJPJhFWrVsmr601EpVLJXU9NTU1wu91jtiksLERtbS38fj8kSYLL5ZrW91FcXIzh4eEJV80mIqK5k3Fn1EknnYQHHngAXq8Xt956K8455xz885//xE9/+tMx21599dUZD3Dbtm146qmncMstt8hLuN5www3YuHGjvI3VaoXRaBx3qlZ3dzd+9rOfjZmmd+WVV+K4447LeFyUG36/H/v27QMA1NXVpWUsHSsUCkGpVEIUxUWRfWQwGCBJEqqrq7Fnzx4MDAzA7/dntRtEoVDAZDLB4/FMeSW0sLAQw8PDGBwczCjon2i2EokEurq6oFarJ32vL0Wp7qiBgQEMDQ2lTeElIpquaDSKYDA4plDk8XgQi8WyslhJIBBAOByWZyRMtl0oFEJtbS3i8TgGBgaQn5+PlpYWlJeXo7CwEIIgoKioSF5tbyKpDiiDwYCOjg6EQiGUlpamTRG0Wq1YvXo1Dh48iK6uLqxYsWLKYpnBYIDJZILT6Vx2f3eIiBaajItRJ598MjQajTznu7a2Fl/84hfx0EMPIRgMAhjpvrjooovw/ve/P+MBajQaXH755bj88ssn3Ga8aXkp5eXl+PGPf5zx/mlu7dixQ+7UmawrChgJslepVBAEYVEska7X6yFJEqqqqrBnzx4AI91RjY2NWd2P2Wye9IpjikKhQEVFBVpaWhhmTvNicHAQgUAAxcXFY7JOljqVSoX6+nrs3bsXra2tyMvLS8tGISKajonyogYGBpBMJjOenTBaf38/CgoKpvwd1d/fj8LCQqhUKnR0dCAej8PtdqO+vl6eQuj3++WLZslkEkqlctLXzMvLg06nQ0tLC8Lh8JgcKavVCo1GA7/fj5aWFtTW1k75mg6HAy0tLXA4HFNuS0REuZPxma9Op0vLcQKAU089FSeddBI6OzshSRIqKir4AZdm5JVXXpFvf+ADH5h021QA5mL5AKfRaKBUKlFRUSHfl6sQ84GBAUiSNGnIKDBSuLJYLJPmNxDlgiRJaG9vh1KpRHl5+ZT/V5eikpIStLS0IBAIoLe3lxkmRDRjPp9vTF5UIpFAX18f7Hb7rIO6w+EwfD7flL+fQqEQ/H4/qqqqEAgEcOTIERQVFWHlypXyhevnn38eX/7ylyGKIu69915UVlbCbrdPOYapcqS0Wq38N6SpqQn19fWTfv4wmUzQ6XQYGhpiZzgR0TzKejuJSqVCbW0t6urqWIiiGXvjjTcAjKzOeMopp0y4XTKZRDweh1KpXDQroigUCuh0urSW+VyFmMdiMXlq6lTKy8vh8Xjkq6tEc8HtdsPj8cBkMi3bKWpKpRL19fWIx+Po6ekZd0VaIqKJpLKSdDpdWuaez+dDOBzOyhS91FS7qc7pU91TyWQSu3btgtlsxtq1a+VC1COPPIJrr70WwWAQ4XAYL7zwwrRznoD/y5Gy2+04fPhw2nN1Oh2i0Sjq6upgNBpx+PDhSX+fCoKA4uJiOJ1O5mYSEc2jnM9t8ng8E06hIxqtt7cX7e3tAEZW0ZssSyAcDkMURQiCsGiKUcBIVkFqBUogN8Uoo9EIpVI5ral6AMPMaX6M7qCdbJpEanXIpcrhcMBoNCIej6Orq4th5kQ0bZFIBOFwGHa7Pa271Ol0IpFIzHqKXiwWg8vlmrJ7KBKJwOPxQK/XY+/evRAEARs2bIBSqYQkSbjzzjtx8803p51jvPLKK3C5XEgkEtMejyAIKC0tRU1NDTo7O9HT0wNJkuTfoQqFApWVlSgsLMSRI0cmXczFZrNBEIRxw9GJiGhuzHp+U2rZ1kAgMO4H2UAgMNtd0DIx3VX0gJH/V4IgQBTFRVWMMhqNMJvNUKvV8kpa2aZUKmEwGODxeKbdfl5UVMQwc5ozoVAITqcTer1+yiv3HR0d8oecvLw82O12+Ur7UqBUKlFXV4d9+/bB5/PB5XJNuXQ6EREwfl6UKIro7u6GxWJJW10vEwMDA7BarVOeZ/X19UGhUKCrq0vOw9NqtUgkErjpppvwxBNPyNsWFRXB6XTC7Xbj0KFDqKmpmXF3rM1mw8qVK9HS0oJQKASLxYLOzk7EYjH5AptWq0Vra6scnH6sVHfUwMDAmGIeERHNjYyLUclkEo899hhefvnlaU8HIprM9u3b5dtT5UX5/X4olUokEolFtRy8yWRCPB5HZWUlWlpa0NbWNqOrgtM13RDzlFSYeWtrK+x2O9RqddbHRJTS3d2NeDyOqqqqSQtLbrcbDz/8MGKxGD75yU8iGAyir68PBoMBdrsdeXl5S+L/aipMNx6Po7u7GzabjaG6RDSlVOfP6LyoQCCAYDA45cp3U0kkEhgaGppykZVwOIy2tjbYbDaUlJTA6XSiuLgYoVAIn/vc5/Dyyy8DGCn+3HbbbSgvL8c111wDYGTRmk2bNmU0VVun08k5UqFQCJIkwePxoKioCADkc5mWlhbEYrExK/EBQH5+Pvr6+uD1emGz2WY8BiIimp2Mp+n97ne/w3PPPYdEIoGqqiqsWrUKq1evHvMv2yuF0dIkiiJ27NgBYKR7aMOGDZNu7/P5oNFoEIvFFlUxymAwQJIkVFdXAwDi8Tja2tqyvh+r1Qq/3z+jKT8WiwUWiwXd3d1ZHw9RSmo6mlarRWlp6YTbiaKI//zP/8Svf/1rPProo9iyZQt2796N4447Dvn5+XC73di3bx+OHj2K4eFhJJPJOfwuskuhUKC+vl7+ENnb2zvfQyKiBU6SJAwPD8NgMKQV9YeGhrIyRW9wcBBGoxFGo3HCbeLxOP71r39BrVZjzZo1cLvdcDgc8Pl8uPjii+VClEajwc9//nN8+tOfxplnnikXfrZv3w63241oNJrRGJVKJWpra1FcXAxJksb87jSbzVi5ciXcbje6urrGPF+hUKCwsBADAwMZ7Z+IiGYn486o119/HRs3bsS2bdvSVrQ4lsfjwXXXXZfpbmiZGB1Gecopp0zZ7RAKhRZlMSrV6l5VVSXfd/jwYWzcuDGr+8nLy8Phw4cRj8dntJBAeXk5Dhw4gEAgMOv2fqLx9Pf3IxKJoLS0dNL/Y7/73e/Spnb4fD589atfxfPPP4+7774bK1askPNMBgYG0NHRAavVCrvdDqvVCoUi55GIWVVcXIzh4WH09fXhyJEjyM/PX1S/24hoboXDYUSjUTgcDrnjR5IkdHZ2wmAwzKrTRxRFOJ3OSVfZDYVCOHLkCCKRCE466SQEAgEkk0mEw2Fs2bIFra2tAEYKQr/+9a/lFbi1Wi0uvPBC/PrXv0YwGMSBAwdQXV2NkpKSjMYqCAKqq6vx5ptvoru7GwUFBSgrK5N/JjqdDg0NDThw4AAcDseYc6LCwkL09/fzvIeIaB5kfLYeCoVw0UUXTVqIAkb+CGzZsiXT3dAy8eqrr8q3p5qiB4z8/1OpVFAqlYsqP0ar1UKhUKRdsTx8+HDW92MymSAIwoxXyEtlLaTCpYmySRRFdHR0QKVSobKycsKMjgMHDuDWW2+V/w82NDTIj7300ks444wz8MILL0Cj0cDhcGD16tVYtWoV9Ho9enp6sHfvXrS3t8tLni8GCoUCq1atQnl5OUKhEN59991F3e1FRLmV+vs+erGXUCgEn8+XcWEnZWhoCBqNJm3632hutxtNTU3yFH+DwYDe3l54vV5ccMEFciHK4XDgmWeekQtRKZdeeql8+4033oDL5ZrV72qNRgOVSgWVSgWv14ujR4+mRSBotVpYLBYMDQ2Nea5KpWJ3FBHRPMm4GFVZWTmtrA6dToeLLroo093QMvGPf/xDvj2dYlQ0GoVKpYJGo1lUoZMKhQI6nS4ttLmpqSnr+1GpVNDpdBmtElNUVARJkjA4OJj1cdHy5nK54PV6YbFYkJeXN+42gUAA11xzjbyC3ubNm/HTn/4U119/vTxdZHh4GJ/+9KfxpS99Sf5AptfrUVpaijVr1qChoQFKpRLt7e3Yt28furq6EAgEFnxhSqlUYsWKFWhoaIDT6cR7773HFS6JaFwejweCIKQVjIaHhxGPx1FWVpbx64qiiIGBARQXF485v0pNhevo6EBlZSWSySRKSkowODiI9957D5/+9KfhdDoBAPX19fjjH/+I1atXj9nHmWeeKedEvfbaa/B4PLNaNVWhUECj0SAajWLlypVQKpU4dOgQQqGQvE1hYSGGhobG/Z1aVFQEr9fLDFwiojmWcTHqkksuwV//+tcpt/N4PNi6dWumu6FlIBqN4p133gEwchWtvr5+0u0lSUIsFlt0XVEpqfDllFx0RgEjV0snW9Z4Iqkrnb29vYjH4zkYGS1HkiSho6NDXnp7vGl0kiTh2muvlXPLamtrcf3112PdunXYtm0bnnnmGZx00kny9r///e9x+umnp3VWCoIAo9GIiooKrFu3DtXV1RBFEc3NzThw4AB6enpm9aEn1xQKBVasWIG6ujq0t7fjwIED7JAiojSpvCiLxZJ2YTiVxzebFTndbjcEQRhzwSCZTKK1tRUulwsrVqxANBqF0WiETqfD7373O3z729+WV9DeuHEjnn322Qlzq5RKJc4991wAI+eA7733nhzVkCmdTodwOCznSBUUFKCpqQnDw8MARs6JFAoFPB7PmOdqNBrY7XZ2RxERzbGMi1Hr1q3DKaecgrvvvht/+tOf8Pbbb+PgwYNj/h05ciSb46UlaNeuXXJ45ebNm6fsdIpEIkgmk3KX0WKT6u5IXRXcv38/YrFY1vdjsVhmPE1v9HPNZjN6enqyPCparoLBIAYHB2EwGOTVjo714x//WC4smc1m3HTTTSgvL0dHRwf6+/thtVpx33334Vvf+pY8RXxgYACXXXYZPve5z6GpqQler1cu3giCAIvFgqqqKhx33HEoLy9HNBrFoUOHcPDgQfT392ccnJtLgiDguOOOQ3FxMTo7O3HgwIGcrLpJRItTMBhENBpNKzpFo1G4XC44HI6MM/MkSRq3KyoWi6GpqQnJZBIrV66ERqOB0+mEw+HAPffcgx//+Mfyxauzzz4bTzzxRNpFt/F8/OMfl2+/+uqrs56qZzQa5TEIgoCSkhLU1taiq6tLDi9PdUeNJ5Xbl4vzMSIiGl/GAeaiKGL37t3Ys2cP3n777WyOiZaZmeZFBQIBCIIASZIWZWeU2WxGZ2cn1q9fj7/97W/wer144YUXcN5552V1P3l5eWhubkY8Hp/WlNpjVVRU4MCBAygoKGCoJ81aZ2cnkskkysvLx/3/+NJLL+Hee++Vv/7mN7+J1atXp139TyaTSCQS+OhHP4o1a9bgRz/6Efbu3QsA+POf/4y33noLn/rUp1BfXw+dTgeDwQCDwQC1Wg2lUgmlUgmFQoG8vDyEw2F0dXXhyJEjMBgMyMvLg81mg1arhVKpnPeuQIVCgfXr1+Odd96B0+lEMpnEmjVrZrQgAREtTT6fTy62p7hcLsRisVlN0fP5fEgkEmlFrkAggJaWFthsNlRUVEChUGBgYAAajQZ33XUX/vu//1ve9vLLL8ftt98OlWrqjxcbN25EeXk5uru78eabb8Lj8cDv96d9TzNhtVrR3d2dds5jtVqxcuVKtLa2or29HRUVFXJ37LGZt3q9HhaLBYODg7P6GRIR0fRl3Bn17LPP4rnnnpOXqV+1ahVWr1495l9jY2M2x0tL0Oi8qM2bN0+5vd/vh0KhQCKRmDJAfyEyGAyQJAmf+MQn5PsefvjhrO/HbDZDkiQEg8GMnp8Kh2aYOc1WNBpFb28vtFrtuMG6ra2t+NKXviT/P/uP//gPHH/88XIRqbKyEqWlpaioqEBVVRVqa2tx+umn47nnnsN3v/tduUPS6XTirrvuwltvvYWKigoYjUaEQiGEw2FIkgS1Wg29Xg+tVguz2YzCwkJ5Jaquri688847ePvtt7Fnzx689dZb8z49zmg0ora2FjabDR6PB/v27VuQnVxENLfcbjeUSmXahaLu7m6oVCoUFxdn/Lr9/f0oLCyUO6uGhoZw9OhRlJaWoqqqCgqFAqIooru7Gz/5yU/SClE33HAD7rjjjmkVooCR7qV///d/BzAyBfBf//pXRjmXKXa7HZIkjYkn0Ol0qKurk1/bbrdPmInpcDgwODjITlQiojmScWfU9u3bceKJJ2Lbtm2TTpXyeDy47rrrMt0NLXFutxsHDx4EAKxatUqeujYZv98PtVqNWCy2KJc+T3Vzjb4quHPnThw+fBgrV67M2n7UajW0Wi3cbnfGSzyn2tYHBwcnnFpFNJW+vj5EIhHU1NSMec8Gg0FcffXV8pTSs846C+eeey4cDgf6+vpQX18/4dRdhUKBz372szjzzDPxla98Bf/6178giiL++7//G2+88QbuvfdebNy4EX6/H16vFx6PB5IkwWw2w2KxwGq1pnUaRaNRuN1uuFwu9Pf3Q6vVzvsV8tLSUrjdblRVVaGzsxPvvfce1q1btygL8UQ0e6Iowu12Iy8vD0qlEgCQSCTk6XWZTtELBAIIh8Ooq6uDJEno7u7G8PAw6urq0rqVOjo6cOutt+Jf//oXgJHfw3fccQcuu+yyGe/z/PPPx/333w9g5HPF6aefLndfzVSqMOf1elFQUJD2mFarhU6ng9frRWFhIY4cOYKysjL55zf6NXQ6HYaGhtIWmiEiotzIuBjl9Xpx0UUXTZnZo9PpsGXLlkx3Q0vcP//5T7kbYjpdUcDIh1etVot4PL5oi1EKhQLxeBznnnsufvGLXwAAHnnkEfzwhz/M2n5Sq+xkEmKekgozb2trQ15eXkbT/Wh5SyaT6OjogFqtHlPYkSQJX/rSl9Dc3AwAqK6uxje/+U2oVCqEw2FYLBbEYjHs2rVLfs7owtTo27feeit+//vf43e/+x0SiQSamppwzjnn4JJLLsHWrVuhUqkgSRLi8Tj6+vrQ1taGeDwurzyp0+nk9yYwsiJla2srioqK5vX/vUqlQmlpKQYGBrBmzRocPHhQLkil8ueIaPkIBoOIx+NpmUxutxvRaHRWxfOBgQG5iNPc3IxYLIaVK1emnef39/fjqquuQktLC4CR85lf/OIXOPvsszPa55o1a1BfX4/m5mbs2rULbrcbXq93wtVWJ2MymSAIwrgB5cBIdIHH40FdXR10Oh1cLte4F0BTHeFFRUUZF/aIiGh6Mv4tW1ZWNq1WXJ1Oh4suuijT3dASN9O8KAAIhULQaDRIJpOLshiVCl4PBoPYunWr3OHw+9//PuPA8YlYLBb4fL5ZvYbVamWYOWVsaGgIgUAAdrsdVqs17bF7770XL7zwAoCRvI7/+q//QjQaRUFBATweDxwOB3bv3i1ngKjVaqhUKjn/SRAEuSClVCpx8cUX45577kFNTQ2AkULYY489huuvvx6tra1IJBIQBAFarRZWqxV2ux06nQ6RSAROpxMdHR3o6enB4OAgBgcH4ff7F8T/+4KCAiiVSiQSCRx//PGIx+N47733sv77gogWvtTf9NHdSj09PVAoFONOg56OcDgMr9cLi8WCpqYmCIIwphDV0tKC8847Ty5Emc1mPP744xkXooCRCwqpIHNJkvDOO+9kvKqeXq+HUqmc8AKczWaDz+eDKIooLCzE4ODguBEEVqsVSqVy1qv7ERHR1DIuRm3ZsgV//vOfp9zO4/Fg69atme6GlrjXXnsNwEg+0aZNm6b1nEgkIn8gXaxhvgaDAcFgEDU1NfjQhz4EYORq5+9///us7icV1Dzb7Jvy8nK43W552Wai6ZAkCe3t7XKH3ehOpu3bt+Ouu+6Sv7777ruh0+nkzI6ioiK0tbVBoVBg06ZNOP744+V/69evx/r167FhwwZs2LABJ5xwgvzvE5/4BF555RV86Utfkq9qNzc34/rrr8euXbuwYcMGnHjiiTjxxBOxadMmbN68GR/+8Idxzjnn4EMf+hCOP/54lJWVQafTIR6Po729fd5XVxIEARUVFejv74der8f69eshSRL27Nkzq85HIlp8hoeHodFo5M5IURTR19eHgoKCaec1HWtgYAB6vR6tra2wWq2oq6tLm8K2e/dufPzjH0dvby+AkSn8v/nNb3DyySfP+vs5//zz5duvvPIKvF5vRplNCoUCKpVqwpxMnU4HtVoNr9cLu92OWCw27jmNIAgoLi7GwMAA8zKJiHIs42KUwWCAQqHAjTfeiD/96U94++23cfDgwTH/jhw5ks3x0hLS0dGB7u5uAMD73ve+aXU5SZKEWCwGlUoFrVY7YZbMQpcKVtZoNLjqqqvk+x955JGsnvxYLBaIojjrIpJWq4XD4UBXVxdPzmjavF4vXC6XHBae0tHRgW3btkEURQDAZz/7WbkYrdFoEI1GYTKZ0NnZibVr1854qoRGo8FNN92EP/7xj6irqwMwsjT597//fWzZsgXt7e1jniMIAvR6PRwOB1asWIFVq1YhkUggEAigo6Mjw59A9phMJuTl5aG7uxtmsxnr16+HSqXCe++9h+Hh4fkeHhHNAVEU4fF4YLfb5fMfv9+PUCiU8RS9aDSKrq4uBAIBVFRUoLy8PO3c6u9//zsuvvhiuVOosbERd999N0466aTZf0MA6urqsG7dOgDAvn37MDw8POFUu6nodDqEw+FxHxMEQV4MQqFQoKCgYMIgc7vdjmQyyWI/EVGOZZwZddttt8m3H3vssawMhpaXVFcUMP0perFYDIlEQi5GLVYmkwldXV1IJBI466yzsGbNGhw4cABHjhzBm2++iVNPPTUr+9FqtfKVwGOnSM1UKsx8aGhoWkHzRJ2dnRBFERUVFfJV9nA4jGuuuUb+sHHiiSfihhtuwNGjR1FXV4eOjg6UlZXhwIEDKCgoQCwWw3vvvYcVK1ZMmVF4rBNOOAEvvvgi7rjjDjz00EOQJAlvv/02PvShD+GWW27BJz/5yQkL2qtWrcK+ffsQDAbR3t6O8vLyeQ8NT/1cUu/n9evXY+/evdi3bx/WrFnD9yXREhcIBJBIJNLyolJTicvLy2f8eqIoYv/+/UgkEli1alXa6nwA8MQTT+DrX/+63F29ceNG3HzzzaitrR0T/j1diURiTLfpxz/+cezbtw8A8NZbb6GqqmpMCPl0GAyGCQtMwMhUvebmZoiiiIKCAhw8eFCeBj6aQqFAcXEx+vv7YbVaF+2FTyKihW5WyXyNjY1YvXr1pP8aGxuzNVZaYjIpRoVCIfn2Yi5GGQwGSJKEaDQKm80mL28MjHRHZYsgCDCZTFm5upeaatXT08Nlj2lK4XAY/f39MBgM8lLjkiThq1/9Kg4fPgxgpMD54IMPore3F/n5+QgGg3J4udfrRUNDAw4fPozBwUG8/fbbGBoamnFnnl6vx3e/+1089dRTqKiokMd2880347LLLpswE8poNGLFihXy9m1tbZn+KLJGrVajtLQUXV1dEEURer0exx9/PEwmE/bv34/+/v75HiIR5VDqb3nq4pIkSejp6YHdbp9xbIEkSTh69CiGh4exYcOGtEKUJEn46U9/iq997WtyIeoDH/gA7rvvPhiNRuTn52c0flEUceTIEflvQMp5550n3/7b3/4Gv9+f0fRoi8WCRCIxYTSB0WiEQqFAIBCATqeD2WzG0NDQuNsWFBQgEokwnoCIKIcy7owCgBtuuGHKbguPx4PrrrtuNruhJSiZTOKNN94AMHKlKtWiPZVAIABBEJBIJGA2m3M5xJxKFdIikQgEQcCFF16IBx54AG63Gy+88AL6+/uztqywxWKB2+3OymtZrVaYTCb09PSgqqoqK69JS1N3dzdisRiqqqrkjqZf/OIXctagRqPBvffeC6VSiUgkgoqKChw+fBg1NTV45513UFtbi66uLqjVarzvfe/D4cOHsXfvXlRWVqKmpmbGV+VPOeUU/P3vf8f3v/99PProowBGCuIf/OAH8b3vfQ8XXXTRmKvfqZUkh4eH0dXVhcrKyjGdA3OtsLAQQ0NDcDqdcDgc0Ol0OO6447B//34cOnQIyWQSpaWlvJJPtAQNDw/DYDDI5xDBYBB+vx9r166d8Wt1d3fD5XKhsrISNptNvj+ZTOLb3/42/ud//ke+7xOf+ARuvPFGuN1uVFRUZLzKXH9/P0RRhNvthtVqlTuSysrKsGnTJrz11ltobm6G0+mE2+2WL2RMV35+PiRJknOhjpWaqud2u2GxWFBYWIjOzk44HI4xvzOVSiUKCwsxMDCwqM83iYgWsow7o84888xpdabodDps2bIl093QErVv3z55RZhTTz112h8s/X4/VCoVEonEvE+ZmY3UEvKpTq/i4mJ85CMfATDSwv74449nbV82mw3BYFDO55mtiooKuFyuCUNCiRKJBLq6uqDValFaWgpgpPDzox/9SN7mhhtuwKZNm9Dd3S2Hc1utVnR3d0OpVKKoqAi9vb1YtWoVzGYzNmzYgLKyMnR2dmLPnj0Z/f8zmUy444478Nhjj8kfcvx+P7761a/immuugdPpTNtepVJh1apV8ns1tYrUfEqFmff19cmdAxqNBuvWrYPdbkdTUxM6OzuZ7Ua0xCSTSXg8HhQUFMiFk1RxZ6ZT9FwuF3p7e6FSqdKeGw6Hcd1116UVom688UZcffXVEAQBGo0mrXA1E8FgEAMDA6itrYXdbh/TkTQ6yPzNN9/MaDU7s9kMQRAm7Qa32Wzwer2QJEmegjdRRlVRURF8Pt+EOVRERDQ7GRejRFHEr3/9azz88MOTbqfT6XDRRRdluhtaojKZogeMdEZptVpEo9FFXYxSKpXQarVy+7dSqcSll14qX2189NFHEY/Hs7Ivq9WKRCKRNsVxNrRaLYqLi/mBlyY0MDCAUCiEgoICuZNu27Zt8vTO8847D9dccw26u7thMpmgVqvh8Xhgs9nQ0dGB1atX49ChQ7Db7SgqKgIwUhhKTQ0PBoPYvXs3+vr6Mvo/eMYZZ2D79u248MIL5fteeuklnHXWWWNWiS0qKoLD4UA8HkdPT8+CCLQ1m82w2WzyAhDAyBS+NWvWoKioCC0tLWhra+P7k2gJ8fv9SCaTyMvLk+/r7OyExWKZ1gIwKaFQCM3NzZAkCbW1tXK3p8fjwWWXXYbnn38ewMjv3P/6r//Cv/3bvyE/Px9DQ0MoKyvLqOtSFEW0t7fD4XDAYDDA4XBgeHg47XfUeeedJ1+YfOmllxAKhWZcBEqtMDjZ72mTyQRRFBEMBiEIwqRB5mq1Gvn5+RgYGJjROIiIaHoyLka9+uqr2LNnz4z+ABKljC5Gbd68edrPS61AF4vF5JOOxcpgMKRlEaxdu1ZeUWxgYAAvvvhiVvaj1+vlEPNscTgcSCaTE2Yt0PIlSRLa29uhUqlQWVmJaDSKa665Rl7x7bjjjsM3vvENxONxeL1elJeXo7u7G8XF/4+9945vq773/19Hew9LsiTLtrxXbMcJ2Qkh0N62QGmBSwu0pXR9W2bpoCUUWgqkZZRbWkovt1Auowso0EJLW9YFAiSQZcd7b8nae6/z+8O/86mVeMgrsZ3zfDz0SGRJR0c6Op/z+bze7/frrUd3dzd0Oh1SqRSCwSBqa2uzFj4URcFgMGDjxo0QiUTo6elBb2/vgoRbpVKJX/3qV/jtb39LFnderxfXXHMNrr32WrK/HA4HdXV1EAqFiMVi6OvrWxEij8lkQiAQIBmmwOTisa6uDkajEUNDQ8Sol4WFZfXj8/lAURQpGYvFYmQMzZVUKoXe3l5SQs14P1ksFlxyySU4dOgQgElR5+mnn8bHP/5xhEIhZDIZyGSyBZerWa1WcLlcYj+g0WiQyWQQDAbJczQaDZkPjo2NwWKxzDs7iun0PVs3Pg6HQ7rqAZPeUKFQCLFYbNrn6/V6eDyeBXlYsbCwsLDMzoLFKIqicNNNN+Gzn/3sUu4PyxlANBrFkSNHAADFxcUoKSnJ+bWRSARCoRCZTGbVi1FSqTQr6ndiSetcWYe5wuFwIJVKF9wqeaZtFhYWsmbmLCfh8Xjg8/mgVCqhUqnw/e9/H+3t7QAms4z27t1Lyu0KCgoQDoeRSCSIOFVdXY2enh4UFRXNuPCRyWRoamqCwWCAzWbD8ePHFyy2nn/++XjnnXdImSwAvPTSS6ivr0dLSwuASeHKbDYjmUxiYmJiQeUjS41AIIDRaMT4+HiW4MThcFBdXY3i4mKMjo6it7eXFaRYWNYAbrcbcrmcGJU7HA6kUikUFxfn9HrGsJwRsBhhqLu7G5/61KfQ29sLYFKceeGFF3DOOeeQ8mmPxwOTybSg/Q4Gg3A6nSgpKQFFUYjFYojFYtBoNET0Z5jazOW9996D1+udl/jP4/HA4/HmNB1nxCiapsHn86FWq2fMjhKJRFAqlWx2FAsLC8sysGAxSqlUzttYkIUFAD744AOSyTCfrCgASCQSEAgE4HK5J7XiXW3IZDLE4/GsrI5PfOITJMp58OBBMjlcLAqFIiuDYilQqVSkBIuFhWF0dBQURaG4uBhPPPEEXnjhBQCT4skPfvADNDQ0wOFwgMfjIS8vj2RF9fb2ory8HFarFQBQWVk56/vw+XxUV1ejoqIC8Xgc7e3tJwkzuaLRaPD444/jV7/6FRHAbDYbrrvuOkSjUVAUhaqqKkil0hWVHaXT6UDT9EmLKA6Hg4qKCpSUlMBqtaKzs3PG7lIsLCwrn1QqBb/fD61WS/42MjICmUyWc1OFsbEx2Gw2GI1GmM1mUBSFDz74AJdeeinpxFlSUoKXX34ZDQ0NpKtpOp1GXl7egqwR0uk0RkZGUFBQAJFIRDKzuru7odVq4fV6swJan/jEJ4gf7WuvvYZ4PD5vf0CRSDRneZ9CoUAymSTP0+l0cLvdM46TBoMBLpeLDb6xsLCwLDELFqOamprQ2dk55/N8Ph8uv/zyhb4Nyxrk3XffJf+fj19UKpVCIpEAj8fLyTx/pSORSMDlcrMWkkqlEp/85CfJ/aeeempJ3kupVCIUCi35ArqwsJA1M2chMAa1EokEg4OD2LdvH3nsu9/9LtavXw+hUAiHw4Hi4mI4HA4IBAIiTjFeZNXV1TmJzRRFwWQyoaGhAUKhEENDQ+ju7p6x3GKubV166aV4++23sW7dOgDA8PAwHnroIQCT52t1dTUymQzsdvtJZuenAw6HQ8zMTyxVpCgKZWVlqKiogMPhQEdHB7uQYmFZpQSDQWQyGVJSnEwm4Xa7SYOIuXC73ejv74dWq0VFRQUoisL+/fvxuc99jmSVNjU14eWXXyadcm02G2QyGUKhUM7vcyIWiwUCgQD5+fmgaRpDQ0MQi8Wk9E8ikWRlmioUCpx33nkAAKfTieHh4XlnoorF4jlL6jgcDhQKBckYl0qlEAgEM3YelkqlkEqlM2ZPsbCwsLAsjAWLUVdeeSVeeeUVNDc3L+X+sJwBvPPOOwAmF0s7duzI+XWRSISIKWtBjBIKhRAKhbBYLORzURSFK6+8EiKRCADw/PPPz5lungsqlQqpVGpBi/TZEIlE0Ov1GBsbWxGZIiynl7GxMaRSKYhEItx4441EILniiiuwc+dOFBUVYWxsDPn5+eDxeLDb7VCpVBgdHcW6devQ09MDuVw+74WPQqFAY2MjdDodvF4v2traTir/yBWDwYBf//rXRAx75JFH0NPTA2Aya0ClUiEej6O7u3tFlL8pFArI5fJpMxSZznvV1dVwu91oa2tjfU9YWFYhHo8HHA6HZG663W4kEomcSvQikQja2togl8tJd9ChoSFcc801iMfjAIDzzjsPzz33HPGQisfjJGtJp9OR0sD5EAgE4Ha7SRaWzWZDPB5HaWkp9Ho9nE4ntFotXC5X1vxhaqne/v374fV65zXWyuVypFKpObNB1Wo1EaMoioJOp4PD4ZhxLqPX6+FwOFbEuM/CwsKyVliwGPXHP/4RarUa9957L2688Ubce++9+O///u+Tbkvle8OyNnA6neju7gYwaWScl5eX82tDoRA4HA5oml4zYpRAIEAkEskSnEpKSnDOOecAmPzMTJnTYmBMPZe6VA8A6TS20MU/y9ogkUhgfHwcPB4Pd911F4kgb9y4EVdffTXy8/MRDAaRSqVgNBphsVigUqkwMDCA/Px8ZDIZeDwe1NXVka6S80EgEKCqqgpms5mUggwPDy+oPK2qqgrf+973AExmIOzduxeZTAZ8Ph/19fUAAJfLRUoKTzdFRUXwer3TCtdM9lhtbS18Ph/a2trIApSFhWV14HK5oFKpSLe54eFhiMXirM5605FKpdDS0gIej4fGxkbip/SVr3yFZER97GMfw//+7/9m+XDabDaIRCIkEgniLTUfUqkUhoeHUVhYCKFQiEAgAJvNhrKyMvB4PBQUFMDj8UAulyMej2d1+/3oRz9K9uX1119HKpWa19wlLy8PmUxmzkCeQqEg/lXM6xKJxIyZ3gqFAnw+n53rsLCwsCwhi+qmx2RFORwONDc345133jnpdvDgwSXbWZbVz3vvvUf+P1+/qFAoBC6Xi1QqtSDvgpUGl8uFXC6HUCjMSv3m8Xi48soryf2nn3560VlHXC4XEolkxhT0xcCUCrFm5mc2NpsN0WgUL774Io4fPw5g0ofjvvvuA0VRyMvLg9VqRXFxMSKRCDGPDQQCqKurQ3d3NwoKCqBSqRa8D4yxfm1tLQQCASYmJtDZ2Zm10MmV22+/nWQdHDp0CM888wwAwGg0Ij8/H6lUCj09PSvCi0kgEMBgMGB0dHTGscJgMKC+vh7BYBDHjx9f8ixJFhaW5SGZTCIYDEKn0wEAMpkMHA4HjEbjrK+jaRptbW2IxWJoamoizV+++c1vEj/Kqqoq/OpXv8oqi04kEnC73UilUjAYDODxePPe5/HxcYjFYmi1WiQSCQwNDaGoqIh04JbL5RCLxfD7/cjLy8sSeMRiMWko4ff70dvbO6+5i0KhAIA5X8Pj8SCXy0l2FJfLhUajmbEUj6Io6PV62O12NhOchYWFZYlYsBgFAFdffTWuvfbaWW9XX331Uu0ryxpg//795P/zFaOCwSD4fD7i8fiaEKOAye5iyWQSXq83q3xm165dqK2tBTDZ6YZpt7wYlsPEnEGpVEIqla6YTBGWU0smk8Hw8DAOHTqEV155BcDkRP+RRx5BMpmEyWQimVByuRzj4+PQarUYGBhARUUFrFYrkskkqqqqlmR/VCoV6uvroVQqEYlE0NHRMe8FhFgsxv3330/u79u3D06nExwOBw0NDeByufB6vRgdHV2SfV4ser0emUwGLpdrxufodDo0NjYiEomgq6uLXVCxsKwCAoEAaJomQr3P50MsFpuzRK+vrw8OhwNNTU3E5PzBBx/Eq6++CmDyuv2///u/Jxmg2+12koGVn58/7/31+Xzw+Xwwm82gaRqDg4NQKpVZ5uvAZNc+p9MJjUYDj8eTVf42tVTv7bffhs/ny1n4l8lkoCgqpw6rTFc9BqbU+0QPPga1Wg2appclsMfCwsJyJrIoMWrnzp3Ys2fPrLf5eAKxrG1omiZilEgkwubNm+f1+nA4TNLG14oYpVarSSviqYtIsViMSy65hNxfinLX5TIxByYjhoWFhXC73QvKQmFZ3bhcLrS1teH3v/89+dudd94Jk8lEyi3C4TAxvGcEWB6PB6PRiKGhIVRUVBCvtKVAKBSipqYGBoMBmUwGIyMjGBgYmHGRMR27d+8m56Hf78ddd90FYLKco6ioCMlkEj09PfPa5nLBZIXNlaGYl5eHuro6OJ1O0kGLhYVl5eJ2uyEQCMhYOjQ0BIFAcJK4MxWLxYKBgQE0NDQQO4R//OMf+PnPfw5gcrx45JFHUFpamvW6VCoFp9OJdDqNgoKCeZdMp1IpjIyMoKioCAKBABaLBZlMZlrhLC8vD8lkkpRATxV4du/eTcS3N998E5lMJks0mg2pVDovMSoSiZBgoEgkgkwmm7EUj8PhID8//4zPjopEIggGg6d7N1hYWNYACxaj7rzzTmKkOBsKhQIPP/zwQt+GZQ3R399PFj/btm2bt+9TNBolYhST6r3aYfxcaJqGy+XKigxedtllUCqVACYnkYvt3sUYLy+XX4xIJEJ+fv6spUIsaw+aptHS0oLf/OY3ZEL/mc98BpdddhncbjeMRiPGx8dRWFgIiqJgsVigVCoxNjaGdevWobe3F2KxmHRwWko4HA7MZjMqKirA5XLh8/nQ2dk5rwzBH//4x6Ts48UXX8T+/ftBURQaGhogEokQCAQwODi45Pu+EFQqFWQy2bRm5lPR6XQwGAzo7u5m/aNYWFY4brcbarWaeGZOTExAr9fPKBT5fD60traisrKSNIPo6urCTTfdRJ5z2223EW/KqTAii0gkImbmuULTNEZGRiCTyZCXlwev1wu3242ysrJp95XD4RADc61WmyUACQQCXHjhhQAm537t7e05d9Xj8/ng8/k5NX/h8/mQSqVZwpVOp4PT6ZxxHqPVahGPx89YMSYUCqGnpwfHjx9nrx8sLCyLZsFiVE1NTU4REw6HQ+rcWc5s3n33XfL/+ZboAZPdXRjPg6lGm6sdo9GIdDqNdDqdFfnLz8/HJz7xCQCT0cY//OEPi3ofJlq4FN35ZsJoNLJm5mcYbrcb999/PznmDQ0N+OlPf4rx8XHo9Xq4XC6IxWLk5eXBZrOBx+NhdHQUer0eXC4XDocj5+vJQtFoNKirq4NIJEIqlUJfXx+J2M+FVqvFD3/4Q3L/1ltvRTQahUQiQWVlJdneSpmUM9lnM5nwApMieHV1NQCgp6eHFY9ZWFYoiUQCoVCIzKODwSAikciM4n0sFsORI0dgNBpRXl4OYNI76atf/SrJWr700kvxjW9846TXplIp2O12khVFUdS89pVpolBcXIx4PI6RkRGYzeZZM161Wi18Ph9kMhlCoVCWl93FF19M/v9///d/CAaDOWehMs1hckGlUmVlZalUKtA0PWNmFZfLJdlRZxrhcBj9/f3Q6/XIy8vDwMAA212QhYVlUSx69p9IJPDGG2/ggQcewN69e7F371488MADeOONN9gW0ixZLMYvKpPJIJFIgM/ng8fjZZltrnb4fD50Oh0oisrKfqIoCldddRVZpP/+979flEE4n8+HWCxeVq+DXEuFWNYGNE3jRz/6Ebq6ugBMll389re/RTgcRiqVgkwmg8fjQXFxMRKJBBwOB+nmVFdXh87OTuh0ulnLTZYKsViM2tpaUrJit9vR29ubk4h0xRVXkLLi4eFhPPTQQwCA6upqyOVyhEIh9PX1Ld/OzwORSAS9Xo+xsbFZRSamjNFms83qM8XCwnL6YPyimCzpkZER8Hi8aTvcpdNpHDp0CBKJBI2NjaAoCqlUCtdeey1GRkYATHYxvv/++6cVmlwuFxKJBJRKJXm/XEkkEhgdHUVxcTG4XC4GBweh0Wjm7PYnEokgl8sRCASgVCqzAllbt26FXq8HMNk0KZPJ5Dx/EYvFOQcIVCoVQqEQmbNQFAWdTjen/14oFDqjbAkikQj6+vqg0WjIdYOmaTYbnoWFZVEsSowaHh7Gd77zHTz22GM4fPgwhoaGMDQ0hMOHD+Oxxx7Dd7/7XXIBZDmzSSaTpLOiVqsl5ty5Eo1GkU6nweVyIRAIlmMXTytMd65wOJyV0dDQ0EAWwTabDa+99tqi3kcul+fko7AYVCoVJBIJa2Z+BvC73/0OL730EoB/e5AYDAZYLBaYTCaMjY3BaDRCKBTCYrFALpdjeHgYFRUVcDqdiEQiqKmpmXcEfqFwuVyUlJSguLgYNE0jFouhq6trzvIPDoeD+++/n3SVeuSRR9DT0wM+n4/6+nrQNI3+/v5Zs5FOJQaDIacMRYPBAK1Wi87OzhXhe8XCwpKN0+mEWCyGWCwGTdOwWCzQ6XQnZZLSNI1jx44hlUph06ZN5PF9+/aRrHStVovf/va303puZjIZWK1W0DQNk8k0rzGZESSUSiXUajVGR0fB4XBgMplyej1TFqfRaOB2u4mwweVycdFFFwGYnEM2NzfnXKonl8uRSqVyMj0XCoWksx+DRqNBIBCYseson8+HRqM5Y7KjIpEIent7oVKp4HA4MD4+jp6eHqRSKfj9fjagwcLCsmAWLEb5fD785Cc/gdPpRFFREc4991xcfPHFuPjii3HuueeiqKgIDocDP/nJT3I2HWRZu7S0tJDysLPPPnveJTnhcBgURYGm6Xl7Ta0GRCIRVCoVOBxOVlthHo+Hyy+/nNx/6qmnFvU+SqUSwWBwWaNYFEWhqKiINTNf4xw9ehR33nknuX/bbbdh165dsFgskMlkiMVioCgK+fn5CAaD8Pv9CAQCEAgEKCgoQF9fH0pLS095yS0T9a6trQWPxwNFURgeHsbIyMis5QZVVVW47rrrAEwujPbu3YtMJgOz2Yy8vDxEo1GSIXa6yTVDkaIo1NXVIZVKob+//xTuIQsLy1zQNA232428vDxQFIVIJIJAIDCtGTgjqm/ZsoUE7P785z/jscceAzApnjz22GMzCkQulwuRSAQ6ne6k7npzwVzri4qK4HK54Pf7Z/SJmg6lUknmdwCyRKGppXpvvPEGIpHIjALRVNRqNTKZTM4BghO76gkEAqhUqllFFr1eD6/Xu2JKtJcLJiNKLpfD4/HA6XRCoVBAp9NhaGgIQqEQ4+Pjy2oBwcLCsnZZsBj117/+FZlMBrfffjseeOABXHPNNbjyyitx5ZVX4pprrsEDDzyA2267Del0Gi+//PJS7jPLKmQxJXrApGEil8tFKpVa0o5bK4n8/Hyk02m43e6sBeSFF14Io9EIAHjvvfcWtWhkTMyXOwuCMTOfq1SIZXXicDhw7bXXkkXBBRdcgG984xsIhULweDzQ6XSw2Wwwm82gKArj4+OQyWSYmJhAQ0MDBgYGwOPxUFZWdto+g0QiQU1NDWkD7vP50NXVNauA+s1vfpN4tRw6dAjPPPMMOBwONmzYAIqiMDIysuyZh7nCZChOTEzM+jyRSISqqiqMjo6y7cpZWFYQ8XicCEQAMDY2Nm3G0cjICEZGRrBhwwYiJDU3N+OWW24hz9m3bx+2bNky7ftkMhmMj4+Trrjz3cfx8XGYzWYkEgmMjY2htLR0XhnsFEURI3MmO4qhqakJJSUlAIADBw6QTqxzwZQZ5hoMV6lU8Pv9WZlUTKneTEEKoVAIlUq1prOjotEo+vr6IBaL4fP54Pf7wePxIJPJoFKpIBQKyeODg4Nshi0LC8u8WbAY1dzcjC9+8YtoaGiY8TmNjY246qqrcPTo0YW+DcsaYbFiVDAYBI/HQzKZnDbFfC0gl8tJl8Cp0TiZTJYVHXz66acX/B7MRDXXVPfFYDAYEI/HT8l7sZw6EokErrvuOtKxraSkBL/4xS8ATC6W9Ho97HY7tFotpFIp3G43EokEbDYbDAYDeDwerFYrqqurSdnb6YIRxAoKCsgipLu7Gw6HY1oRVSwW49577yX39+3bB6fTCZ1Oh4KCAsRiMXR2dp6y/Z8NJkORKYecDZPJBLVajY6OjpzKWlhYWJYfRkhRqVQAgPHxcWg0mqxx0+l0oqurCzU1NcjPzwcw6Yf3ta99jWTsXHXVVfjCF74w4/t4PB4Eg0GYTKZ5BfuY7nlqtRpSqRSDg4MwGAyk++h80Gq1CAaDkMlk8Pv9RNSgKAqf+tSnAEyKZocPH4bH45kzyMU0bMm1c6pIJIJAIMh6vkwmA5/Pn1X8MhgMJwUQ1wrRaBS9vb3g8/kIh8NIJBKIx+NQKpUoLCxESUkJ8XscHh4Gj8fD0NAQG4BkYWGZFwsWo1wuF9atWzfn89atW8fWEp/hBINBNDc3AwAqKipIq+H5EA6HIRQKEY/H12xmFFPSRNP0SW2FP//5z5PyxOeee27B3jQCgQBqtRojIyNZ5YDLAZfLZc3M1xg0TePuu+8m/m8SiQQPP/wwpFIpnE4n0uk0eDweYrEYEXisViu4XC7C4TBqa2vR2dkJlUo1rQHv6YCiKOj1elRVVSGdTkMoFMJqtaKrq2vaSfXu3btxySWXAJgsJ7nrrrtAURQ2bNhAOgWulG6SuWYocjgcrFu3DtFoFENDQ6dwD1lYWGbC6XRCKpVCIBAgkUjA5/OhqKiIPB4IBNDS0gKTyUSyh+LxOP7f//t/sNlsAIAtW7bgrrvumvE9GEGJx+PNe27mdDoRj8dhMpkwMjICoVC44HGdz+dDpVIhEAhAJpNljaGf/vSnyf9ff/11JBKJOQV2RozKNVOVoiio1eqsTCqmpHu2uZJEIoFMJstqPrMWiMVi6O3tBZfLRTweB0VR8Hq9yMvLg8lkgsFggNlshk6ng16vRzQahd1uRywWI4EqFhYWllxYsBglEAhyqg8OhUJr0nCaJXcOHjxIou27d+9e0DYikQgkEgni8TjJHlqL5OXlkcX81EmU2WzGnj17AEyKe3/5y18WtH2KomAwGMDn8zE6OrrsEyi1Wg2RSEQmxiyrmz/96U944oknAEz+lr797W9j/fr1SCaTsFqtMBgMsFqtpKOSzWYDl8uFxWJBRUUFvF4vAoEAamtrT5lpea7IZDLU1tZCIBCAoijY7fYZSzx+/OMfk+j/iy++iP3790Mul6O8vBzJZBLt7e0rJjpsNBpzylCUSqWoqKjA4OAggsHgKdo7FhaW6aBpGl6vl2SeWCwWZDIZ4hcVjUbR3NwMpVKJuro64rl0++23k2qEgoICPProo7POwT0eD3w+H8xm87zm6ozoUFJSArfbjXA4jNLS0kWN6zqdjnhkTTUyr6mpQU1NDQDgyJEjiMVic45nAoEAPB4v58wo4N+lelPL8jQaDaLR6KwBQL1eT4Ixa4FYLIaenh5kMhmk02lIJBKMj49DrVajoKCA2EZQFIXi4mKo1WoYDAZ4PB6EQiE4nU625JuFhSVnFixGlZSU4JVXXpnzeX/7299QWlq60LdBIpHAH/7wB9x00024+eabsXfvXhw5cmTO142MjOC3v/0tvv3tb+O73/0uvv3tb+O//uu/2O5+p4HFlugBkxdHkUiEZDK5psUoDocDnU4HiqKyhCIOh5OVZv/kk08ueLFbVFRE2i2Pjo4uq1BEURRMJhOcTifrJbDKeeedd/DDH/6Q/O4+9alP4dOf/jQ4HA7plBcMBiGXy4k3mcPhQDQahVAoRFFREXp7e1FYWLigMo5TAZ/PR0VFBXQ6HWKx2Iym5lqtFj/60Y/I/VtvvRXRaBT19fUQi8WwWq0rxkdkaobiXIsls9kMmUyGjo6OWc3cWVhYlpdYLIZoNEr8okZGRqBSqUiW1PHjx0FRFBobG8HlcgFMNjj54x//CGAyK/Lxxx8nr5+ORCKBgYEBiMViIjDkAk3TGB4ehlarBUVRsFqtKCsrW3TZtUwmg0AgQCaTQTKZzBKApmZHHThwAF6vd85sT4FAMK8mKhKJBBwOJ0uM53K50Gg0s2ZHyeVyCASCFZMRuxji8Th6enqQTCbB4/GgVqvR19cHpVIJk8l0UqdFDoeDsrIyKJVK6HQ6WK1WZDIZDA8PIxqNnsZPwsLCslpYsBj1kY98BPv378e9996b1SkNmMyGam5uxk9+8hO8//77+OhHP7rgHXz44Ydx5MgR3H333XjggQdw2WWX4YEHHpjTh+rBBx+E3W7Hvn378F//9V+45557kE6n8YMf/IDtGnSKYcQoLpeL7du3z/v1NE0jkUhAKBQik8mc8u5bpxqdTgeapuHz+bIu5rt27UJ1dTWAyc45uYiy08HhcFBSUkJEr/HxcUxMTCxbJodUKoVcLl9zaexnEj09PbjhhhuIYfnmzZtx2WWXIT8/H6FQCF6vF0qlEn6/n5SRjI+PQyAQwG63o6GhAUNDQ8hkMqisrDydH2VOKIpCQUEBTCYTwuHwjGLt5Zdfjs2bNwOY9Mt46KGHIBKJsG7dOqRSKRw/fnzFZEcxGYpzmZlzOBzU19fD7/djbGzsFO0dCwvLiXg8HnA4HCgUCtLYpLCwEKlUCp2dnYhGo2hsbCS2BQcPHsQdd9xBXv/AAw+gsbFxxu2nUil0d3cjGo2ivLycCFq5YLfbkU6nkZ+fj8HBQZhMpnl34JsOpiyOyY6aavExVYx69dVXAWDODE6RSDSvTncURZ3UVQ+YDD54PJ4Z7QaYUm+73b5ixvyFwAhRsVgMYrEYer0ebW1tkEqlKCoqQlFR0bSZb1wuFxUVFVAqlcQGgqIoDA4OrplsMRYWluVjwWLUrl27sHPnTjQ3N+Oee+7BV7/6VdJN76tf/SruvfdetLa2YufOndixY8eC3qOzsxMffPABPvOZz5BI+qZNm9DQ0JBTZsjnPvc5IlyIRCJcddVVSCaT+Ne//rWg/WGZPxaLBQMDAwCAjRs3Qi6Xz3sb8XgcqVSKpF2fbtPj5UYgEECr1YLD4WRF4wQCAS677DJy/8knn1zwezDmxoy/w/j4OKxW67JNpAwGA5xOJ+sdtQpxOBz4yle+Qsoi6urq8MUvfhHFxcXEI0mv12NiYgImkwkCgQDBYBB+vx8ulwtGoxFCoRAjIyOorKxcNWXblZWV4HK5GBsbm7aVOIfDwf3330/Go0ceeQQ9PT2oqqqCUqmEy+VaMYIO0yWLyVSbDYVCgbKyMvT29s4rq4CFhWXpcLlcUCgU4PF4sNlsSKVSKC4uRl9fH7xeL6qrq7OMzb/+9a+T6+u1115LfO2mI5PJkO0UFxcT4/NciEQimJiYgNlsxsjICGQy2azZV/MlLy8PsVgMEokEXq+XiBlmsxkbNmwAAHR0dMDv989ZqieTyZBMJucliDClelPnQhKJhDTjmAm1Wk18lVYjiUQC3d3dCIfDUCqVKCoqQnNzMwQCAcxmM+mMOxMCgQBVVVVQq9UQi8UYHh5GIpHA8PDwqhboWFhYlp8Fi1EAcOONN+Jzn/sciYhkMhmS2i+TyfD5z38eN95444K3f+DAAQBAfX191t8bGhpgt9uJyDEdDzzwwEnlgRqNBgBy8rpiWRree+898v+FluhNTdVmTLzXOvn5+Uin0yf5EFx++eVEmH3llVcWZULOlNAxmSxWqxXj4+PLMnGQyWSQSCRsdtQqIxqN4mtf+xqGh4cBTIqKN9xwA5RKJQoKCkjXOUYs1mq1oGmatCCPRqOora1FV1cXZDLZvNuGn07EYjGKi4uRSqUwPj4+7XOqqqpw/fXXAwCSyST27t0LYFJ4z2QyaGtrWzGRYYlEAp1ON6eZOQCUlZVBJBKho6ODXUiwsJxiaJqGx+Mhc9ahoSFikm2321FYWEjK6qLRaFaw4Nxzz8Wtt94667YHBwdht9thNBpRUlKSs89TJpPByMgI8vPzEQgEkEwm5xQp5gtTFhcKhSASibIEp6nZUe+++y58Pt+s5cQqlQqZTGZe5WJyuRyZTOYkjyjGyHym8ZDJjrLZbKtuzEwkEujs7EQwGIRWq0VJSQkOHToEmqZhNptz/o2IxWJUVFRklW/6/f4VU7LOwsKyMlmUGEVRFD796U/j0Ucfxb59+3DTTTfhpptuwr59+/Doo4/iU5/61KIuUiMjIxCLxSf5i+j1evL4TEyXPWO1WgGcLG6xLB9T/aIWal4eDofB4XCQSqXOGDFKKpVCpVKR9HyGvLw8nH/++QAmF7+MP8Ri0Ov1RLidmJjA6OjoskymDAYDHA7Hilmcs8xOOp3Gt771LVISLZVKsXfvXphMJhiNRvB4PExMTECr1cLtdqO4uBgURcHlciGRSMBms6GyshLBYBButxt1dXXgcBZ1yTnlGAwGyGSyWc3Mb7zxRpjNZgDAoUOH8Mwzz8BkMkGv18Pj8cwaNDnVGI1GRKPRGT8LA5fLRX19PTwez5ylfSwsLEtLJBJBPB7P6q4rk8lgtVqh0WhQVlZGDMu/853voKOjA8Ckl+vDDz88Y8kdTdMYHR3F+Pg48vPzUVFRMa85OiO0SCQS2O12lJWVzau8L1eYsjiVSpU1/7nooovI/v7jH/8Al8uddSxTqVSgKGrO8W4qTKneiRlOjLA1myG6RqNBMpmcl2n66SaRSKCjowOBQAAFBQUwm804dOgQYrEYSktLUVFRMa/rNpNZq9frEYvF4Ha7YbFYVtV3wsLCcmpZknonLpeLysrKJfcCCQQC05pVi8Vi8vh8ePXVV2E0GvEf//Efsz4vmUzOaLZMURR5//mylNEjZlsrrSPVVDKZDN59910AkwvZDRs2LGh/Q6EQuFwuUqkURCLRiv7M82W246jX6+Hz+eB0OpGfnw+KokBRFK6++mo899xzoGkav//973HDDTcsunRRp9OBy+ViYGCARLGWOuKpUCggFovhcrkW3P55JbMazslcoWka9957L/7+978DmBT3b7vtNtTV1SGZTKK4uBgWiwUKhQJerxcGgwESiQSpVAoTExPEc8JsNuPAgQMwGo3Iy8s7zZ8qd5hjyOVyUVJSgvb2doyOjkKpVJ40MZdIJLjvvvtwxRVXAAD27duHj33sY9i8eTNeeeUVdHR0oKysDHw+/5R/jhPh8/koLCzE+Pg4lErlrAvJvLw8FBcXo6urC1qtdtUFAtbS+chyZh1Pj8cDHo8HuVwOt9uNSCSCvLw8iEQiVFVVkev9ww8/jJdffhnA5BzrySefJM1JpsNms2FoaAgajQbV1dXzEpLC4TARoIaHh2E2mxfcTGauYymVSknFRTQaJdcTo9GIHTt24P3338fQ0BCcTickEgnJIDsRZhvBYHBevxu1Wo2xsbEsjyQulwutVguXy0XKI0+Ey+VCr9fD4XDM+JyVBCNE+f1+lJeXw2Qy4dChQ/B6vaioqCCl6tMx2zHUarVIJpNkPiAQCDA0NIS6urpVU6Z/pnEmja9rndV4LHNewT7//PO46KKLVt2ElOHYsWM4dOgQ7rjjjjk/w1/+8hc8//zz0z5WWlqK++67b0H7MJ9uJbmykhf1x48fJ1Gt8847j7Qkni/t7e3EO0GtVi/L93i6me44GgwG+Hw+hEIhiMViMsnMz8/H9u3bceDAAVitVhw9ehQXX3zxovfBaDTCaDTi+PHjCIVC8Pl8qKmpWdJsFpFIhK6uLuTn5y9LRHUlsJLPyVz59a9/jf/+7/8m92+//Xbs3LkTarUalZWViMVisNvtMJlMcLlc2LBhAzgcDgYGBiCVSmG32/GJT3wCTqcTFEVh9+7dq7LxgMFggMFgQDKZxNjYGFKpFMmCmsrll1+Ov/3tb/jDH/4Av9+P+++/H7///e8xPDyMjo4OTExMYOvWrafhE5yMwWBAKpXC6OgoNBoNNBoN1Gr1tOejVqvFK6+8gvHxcezcuXNVTW4Y1sL5yPJvzoTj2dvbi6KiIphMJhw7dgw8Hg86nQ4bN24kov4//vEP3HvvveQ1f/zjH3HOOefMuE2bzYaxsTGYTCZs27ZtXnP5dDqNo0ePoq6uDl6vF2VlZaSZymKY7VhyuVwMDQ2htLQUmUyGzPu++MUv4v333wcAHD16FEVFRdBqtdOK/TKZjAQy5zNv1Ov1xLNrqjG7Wq3Ghx9+SBpCTIdWq8WHH36IaDSK0tLSFTtmJhIJHDx4EPF4HDt27IDZbMb7778Pl8uFxsZGbN26Nacg50zH0GAwQCqVgs/nk267U+cKLCuTM2F8PVNYTccyZzHqz3/+M/7jP/7jlIpRcrl8WgNYpv471/bgnZ2dePTRR3HrrbfmJIhccskl+OQnPzntY4u5sCxluQNFUTAYDCu6Pv2FF14g/9+yZcuCP7/D4QBFUfB4PJDJZGuqbGSu4ygWi2Gz2dDe3o6Kigry989+9rPEU+3BBx9c0oVuYWEhenp60NPTA4/Hg9LS0iWbPNA0jXg8jra2NlJuu1ZYDedkLvzzn//Et771LXL/qquuwtatW6HVaknZRFdXF5RKJbq7u1FRUQG73Y5YLIbOzk4EAgFotVqEw2EcPXoU5eXlCAQCqypN/8RjqVAoEI/H0dzcDADTRndvueUW/P3vf4ff78cf/vAHfPKTn8TmzZvR3d2NgwcPIj8/f8YFzKkmPz8f4XAYPp8Po6OjSCQSUCgUUCqVUCqVWZ+vvLwchw8fhlwun5fR8elmrZyPLJOcKceTKaWrqKhAb28venp6IJVKkZeXh3g8jomJCfT39+OKK64g38P3vvc9bN68eca5kd/vx/HjxyEUClFcXDyn8feJjI+PIxQKES8lpmHFQsnlWGYyGXi9XvB4PGLZweFwsHPnTvB4PKRSKTz77LO48MIL0dXVNa2JeiaTAUVRmJiYmPf+cjgc9PT0oKCg4KS/t7e3w2QyzfjagoICDA4OYmRkBGVlZSsuGyiZTKKlpQWBQAANDQ0QCoV455130N7eDrPZjOLi4jn9SHM5hnK5HBqNBoFAAAMDA4jH48RnjGVlcaaMr2cCS30sT0UCyLxqew4ePLjgErXZIjYzUVJSgt7eXgSDwawubFPLiOaitbUVv/nNb7B3716UlJTk9L58Pn9ZSiqW4wSnaXrFDhxMiR4w6Re10P2MRqPIy8tDIBCASCRasZ93Mcx0HDUaDUZHR+F0OlFYWEjE4E9+8pO49957YbPZsH//fvT396O8vHxJ9kUqlaKmpgY9PT2khXN5efmSCVIGgwGjo6OkY+BaYyWfk7PBlNXedNNNpCvTRz7yEVxzzTUoLCwkUVKmfXU4HIZarYZMJiOm5el0GolEAjU1Nejq6oJQKITZbF6V3wfw72PJdBTq7+/H6OjotOeaRqPBD3/4Q9x8880AgL179+LNN99EdXU12tra0NbWhk2bNp3qjzAtFEVBJpNBJpPBZDIhHo/D5/PB7XZjdHQUYrEYKpUKSqUSeXl5KCgoQHt7O84+++xV1810tZ6PLNOz1o9nMBhEPB6HTCZDe3s7kskkSkpKoNfrQdM0AoEAvvzlLyMYDAIALrjgAnzzm9+c8TsJh8Noa2sjPnBCoXBe318wGITD4YDBYIDdbkdtbS3xq1ossx1LiqKg0WgQDoeJN5RarYZarcY555yDN998k3hc8ng8aLXaabfB5/MRDofnvb9KpRI2m+2khZhOp8PQ0BAMBsOM8xeRSISamhqMjY2hs7MTJSUlUCqV83r/5SKVSqG5uRmBQAAbNmxAXl4ehoeH0dbWBpPJhMbGRnC53Jy/r7nOx9LSUsTjccTjcVgsFlAUBYlEMu3xYjn9rPXx9UxiNR3Lec0qn3jiiQW/0ULEqO3bt+O1115DW1sbduzYQf7e3t4OvV5PFgSZTAbBYPCkwf7IkSN48sknceutt5IuTl6vF48++ihuueWWBX8WlrmJxWL44IMPAEyKDwsVSphMGqat7mos9VkMPB4Per0eVqsVLpeLROPEYjEuueQSPPLIIwCAp59+GnfeeeeSva9EIkFtbS16enrgcDiQyWRQUVGxJKV1SqUSPB4Pbrd7SVtCsyyccDiMQ4cO4Tvf+Q7pNtrU1IQHH3wwy4/D5/NhYmICOp0ObrcbZWVlACb9+xgxo7q6GtFoFHa7HRs3blwz5ZiMF4jNZoNOp5s2M/fyyy/Hc889h0OHDmFkZAQPPfQQvvOd72BgYAC9vb2ora1dcWMYRVEQiUSkJDGVSsHv98Pn88Fms4HH40EqlcJqtaKrqwsNDQ2ne5dZWNYsTqcTAoEAVqsVHo8HAoEAdXV1oCgK6XQaN9xwA2mKUFtbi1/84hcziiKxWAzt7e3IZDJYv379vD2e0uk0RkZGoNVqYbfbUVJSckqrI7RaLTo6OqDT6eByuYhVwcUXX4w333wTAPDWW28hPz8fiURi2gwkkUg0r256DEqlEsPDw4jFYlkZrXK5nIhjs/kgcjgcmM1myGQyDA4OIj8/HwUFBae1bC+VSuHo0aMIh8PYtGkTlEolHA4Hjh49SspAlzoQz3gKJxIJjIyMwGazgcPhQCKRLNhzjIWFZW0xr7SERx99FM8+++yctwcffJCIP3w+H9dee+2Cdm7dunXYtm0b/vznP5MSj2PHjqG1tRVXX301GdR/+9vf4utf/zp6enrIaw8cOICf//zn2L17NwYHB7F//37s378fBw4cwOjo6IL2hyV3jhw5glgsBmAyK2qhF+BUKkXaxmcymTPy4sV01LHZbFltjK+66ioy+XruuecQiUSW9H1FIhFqa2uhUCjgcrnQ19e3JJ3wpqaQztaWmWX5yWQyGBsbw4EDB3DnnXfC4XAAmIxm/v73v88SokKhEIaGhlBUVAS3242ioiLweDzQNI3x8XFEo1FIJBIUFxejs7MTGo1mTYmNzOKCpmmMjIxM+9vlcDi47777SPbQI488gsHBQTQ1NSGZTJIyv5UMj8eDRqNBeXk51q9fD7PZDD6fD7lcjs7OTrS2tsLtds/Y5IOFhWXhOJ1Ocp0NBAIoLCwkAsHPfvYzIsKoVCo8/vjjM4rbyWQSHR0diEajqK+vz9nWYioWiwU8Ho+UXp9qU26hUAiFQoF0Oo1gMIhEIgEA+PjHP04Eon/84x8Qi8Uzlh7K5XLyuvnA5XKhUChO6sRHURR0Ot2cZWwMGo0GNTU18Pv96O3tXdC+LAXJZBKHDx9GOBzG5s2boVQq4ff78f7770OhUGDr1q3LVk4oEAhQU1ODgoICpFIpOJ1O9Pf3kwxsFhaWM5slr5E5ePAgbr31VoyPj0Or1eKuu+7Cnj17Fry9G264AZs2bSLlD88++yxuvvnmrHIHpVIJqVSaVUL42GOPIZVK4fnnn8fDDz9Mbk899dRiPh5LjpxYordQIpEIaJoGl8sFn89fdSUiS4FIJIJWq0U8Hs+acBUXF5NzKxAI4K9//euSvzcziVCpVHC5XOjp6VmSCYRarSY+YCynh0gkguPHj6Onpwe/+c1v0NfXB2By8vzHP/4xqytTNBpFf38/TCYTgsEgpFIpedzlciEUCsHv96OxsREWiwWRSIRE89cSKpUqq8vldFRVVeH6668HMLkA2Lt3L8rKyqBSqTA0NDSvNuOnGw6HA4VCgeLiYmzfvh0lJSWwWq2w2+1oa2tDd3c3bDYbotHoqkkHZ2E5ndA0jVQqhXg8jnA4DL/fD7fbDYfDgZ6eHoyPj0Mmk5G5D+MV+fLLL+NXv/oVgEmh5H/+539mtKpIp9Po7OyE3+9HXV3drB32ZiIQCMDtdoPD4YDH483qkbSc6HQ6BAIB0lkQmLQS+OhHPwpgsvNgX1/fjHMJpVKJdDq9oGCdSqWadrzWaDSIRCI5b1MsFqOmpgZCoRBdXV3w+/3z3pfFkEwmcejQIcRiMWzbtg1yuRyRSATvvPMORCIRdu3atewZb2KxGLW1tTAYDAgGg5iYmMDg4CB73WBhYcm9TO+OO+7I6ipxIul0Gk8//TT+9a9/AQAaGxtx0003zfqaXBAIBPj85z+Pz3/+8zM+5/LLL8fll1+e9bfFlBSyLJ6pYtSuXbsWvJ1QKAQOh4N0Or1qOzkuBUyJkMPhgEajAUVRoCgKV199NV577TUAwJNPPokrr7xyyQUAPp+P6upq9Pf3w+l0oqenB9XV1YsSBimKgtFoxMTEBPk8LKeGTCYDq9WK/v5+AMBLL72EgwcPApiMRD/55JNZjR4SiQT6+/uJIBoOh1FVVQWKopBKpTA+Po5AIICCggJIpVIcPXoUZrN5xZWjLRXFxcVwu90YHh5GXl7etGUNN954I/76179iZGQEhw4dwrPPPotzzz0Xr732Go4cOUIWUqsJDoeD9evX49133yX+M0x55sTEBPh8PjFAl8lka9IPjoVlKplMBul0mmRwp1KpnO7TNA2KosDlcsHj8cDlcon4I5VKIRKJSNmZXq9He3s7vvOd75D3/dGPfoSzzz57xn3q6emBy+VCbW3tgpoOpFIpDA8PQyaTIRqNoqam5rRdoxUKBTgcDvh8PlwuFwwGAyiKwsUXX4y///3vAIA333wTRUVFiEajJ/naMtlcXq933pn1SqWSNHiYmjXE4/GQl5cHp9OZsxk3h8NBSUkJ3G73KS3bSyaT+OCDD5BOp7F9+3by23r77bcBAGefffYpa6whl8tRV1eHRCIBh8NBSsBPl9DJwsKyMsh5NVlXVzfjYx6PBz//+c9JZP2SSy7B5Zdfzi4wz1A8Hg9aW1sBADU1NYsq1WHEKKZU70xFLpdDqVTC6/UiHA4Tkffss89GVVUVent70dHRgaNHjy6LSTKPx0NlZSUoioLdbkdXVxdqamoW5S+gVqsxMTEBr9c7q/cCy9IRiUTQ3d0Nt9sNmUyGN998Ey+++CKASYHw4YcfxsaNG8nzU6kU+vv7SQMJr9eL6upqci5OTEwgEokglUqhvr4evb294HK5S2amvxJhTNn7+/sxPj6O0tLSk54jFotx77334sorrwQA7Nu3D//xH/8Bo9EIi8UCh8OxqjrTMTDGvB0dHTAajdBqtdBqtchkMggEAvD7/RgeHkYmk4FCoYBKpYJCoTgjM1pZlo5wOAy73Y7BwUHiaccEZKbeABARdLrHF/K82UQlppyOyR5ibozIJBAIsu5PfZzL5YKiKCSTSfT39yMWi0Gr1UIoFEIqlaKvrw86nQ5erxdf/epXie/RZz7zGXz1q1+d9nuiaRqDg4OYmJhARUXFgrsgjY+Pg8PhIBgMoqKi4rTOvZiyOJ/PR/xhFQoFzj33XMjlcgSDQbz66qu45ppr4PF4ThI2JBIJKIpCIBCYt+jB5/MhlUrh9/tPmsfqdDr09PTAZDLNa3zTaDSQSCTkt1xaWrps328ikcDBgwdBURR27NhB7C7eeecdxONxnHfeeYtOGJgveXl50wpSuZSAMqXxbKCDhWVtsegZYmtrKx566CEEg0GIxWJcf/312Lx581LsG8sq5f333yeptwsxrp9KMBgEn89HPB5fMW3RTweMz5Lf74fD4SATCC6Xi8svvxx33303AOCpp55ato5djBElj8eDxWJBZ2cnamtrFzyR4nA4pEU0U7bHsjww2VBMwEClUqGtrQ2PPfYYec7tt9+OCy64IOs1g4ODEAgEEAqFcDgcqK6uJhmKsVgMExMT8Pv9qK2tRTQahcViQX19/ZoXH/R6Pex2OywWC3Q63bQT+t27d+PSSy/Fiy++CL/fj7vuugv79u3DSy+9hEOHDuHCCy9clb/5wsJCWK1WtLW1Yfv27eBwOOBwOFCpVFCpVKBpGpFIBH6/HzabjWRYKJVKKBQKiESiVfm5WU49wWAQNpsNoVAIOp0O1dXVpKEGM8dgFqhM56DpbrM9j9nWdK8BQIQkxiZgOtFpoYvjYDBIOkbLZDJQFAWpVIqCggIcPXoUFRUV+MY3voHx8XEAwIYNG3DvvffOeP6MjY1heHgYZrMZxcXFCzrPfD4fPB4POBwOjEbjgrymlhqNRgOLxQKlUgmXy0XGkfPPPx/PPfccgsEg2tvbiS/R1M/NfK9M98H5olKp4PV6TxKjJBIJ8aqab2CBKdsbGxtDV1fXsnTbi8ViOHjwIHg8HrZt2wY+n0865vr9fpx77rnL1uFv6rmVTqez/s1kMuDxeDAajQiFQhgbG0M8HkdZWRm4XO5Jz536epqmSek4k4W7HJ3PWVhYTi2LWjE8//zzeOGFF5DJZFBYWIjvfve7KCgoWKp9Y1mlLJVfFDCZySESiRCPx1dMa9zTRV5eHoRCIex2O4qKishF+IorrsAvfvELBINB/P3vf8cdd9yxbG1zORwOmTSMjo6io6MDdXV1Cy6h1Gg0mJiYIG2bWZaeaDSKzs5Okg3F5/MRDAZx7733Ev+vL37xi/jGN75BXkPTNIaGhkiGi81mQ1VVVZYgPD4+TrL0iouLcfjwYSiVyjPiGsCUXLS1tWF4eBjr1q2bduF3xx134M0334Tf78eLL76Iz3zmMygtLcXAwABGR0dzLvFYSVAUhYaGBrz77rsYHh4mHRWnPi6VSsmiOpFIkO58VqsVHA4HMpkMMpkMcrkcYrGYFadYCDRNIxAIEC8ynU6HkpISCAQCKJVK4qW0mqFpGg6HA/39/UgkEhCJRBAKhSguLoZSqURfXx8oisL//u//khLq/Px8PPbYYzMG5SYmJtDX14eCggKUl5cv6JxKpVIYGRkh56jBYFjU51wqmLI4ptNnKpUCj8fDpz/9aTz33HMAgDfeeAOVlZUIhUIkkxeYFH44HA5pgjRfVCoVLBYLec+p6HQ60l11vt83l8tdtrK9SCSCDz74AEKhEFu3biX7ffjwYdjtduzevTurOcl8SSaTGBsbw+joKKLR6LSC04mCLhO0YP4vkUhgNBoxOjoKl8sFsViMsrIy8Pn8k5479d9kMgm/3w+Xy4XR0VFIJBIiTLHXEhaW1cmCxKhQKISHHnoIx48fBwBs27YN11577RmducLybxgxis/nY+vWrYvaVjQahUwmQzweP8kL4EyDiVQODQ3B5XKRFHyVSoULLrgAzz77LBKJBJ555hnccMMNy7YfFEXBbDaDy+VicHCQCFILOf85HA7prKdSqdiJxBLCdLnr6+sDTdPEy0csFuOaa65BOBwGAJx33nm4++67yXdP0zTGxsZI2cjExAQqKyuz/DaYDL1wOIydO3fCZrPB7/dj69atZ8wxZMzMbTYbXC7XtOXIWq2WNN8AgL179+Kf//wnRkdHceTIERQVFa3KkgOJRELKgw0Gw6xeLAKBADqdDjqdDplMBpFIBKFQiJjYApOGxIw4JZFIVuV3wrI4aJqGz+eDzWZDIpGAXq9HeXn5msuyTKfTGBwcxPj4ONLpNKRSKcxmMwwGA/ndj46Ooq2tjTTcEQgEeOyxx2Ysu3O73ejs7IRWq0V1dfWCzh+mS2gqlQKfz0dJScmKGsu1Wi36+/uzspF27doFjUYDt9uNN954AzfddBM8Hk+WGMVktTHlnfNFKBRCLBbD7/efJOCo1WqMj4+T0sGFsNRle+FwGB988AEkEgk2b95Mzp/W1lYMDw9j27ZtCxYZo9EoyXZNp9PQaDTg8/kwGAwQCATTikhTS15PpKysDDKZDF1dXXA6nSgoKJhTkOPz+UTIYoQpJguXx+NBpVKxvoXzIJPJIBQKIRwOn/FrLJbTx7zP1P7+ftxyyy04fvw4OBwOrrrqKnz7299mhSgWAMDw8DBGR0cBAGedddaiB7dYLAapVMqKUf8/Op0OHA4HExMTWa3lv/SlL5EL+O9+9zviZbFcUBSFwsJCVFZWIhgMoq2tjXhazBetVkuyJ1iWhkgkgmPHjqGzsxNCoRBKpRLFxcUoKSnBN77xDdhsNgDAunXr8Mgjj2Qt+Gw2G3w+HzQaDaxWK8rLy7PMyDOZDEZHR4kHh1wuR29vL0wm0ylv/X26MZvN4PP5GBoamrHL5OWXX44tW7YAAEZGRvA///M/qKurQyAQQG9v76nc3SWlpKQEMpkMra2tOWeqTM24qKiowPr161FVVUUyXgYGBtDS0oKenh5YLBYEAoFlH8tYTi+ZTIaIKWNjY9BoNGhoaIDBYFhzQlQ0GkVbWxuGhoaQTCZhMpmwYcMGFBQUkIVzKpXCsWPH8PTTT5PX3XPPPTOW3/v9frS2tkKpVGLdunXgcrkL2jev1wu32w2aplekCCiVSiEUCsHj8eByuUDTNHg8Hj75yU8CmJwrNjc3w+v1Zs2NgElBKRaLLfi9Z+qqx+FwoNVqZ+ysmisndttbaBZXIBDAwYMHIZPJsoSovr4+dHZ2oqmpad7ZuDRNw+/3o6+vD8ePH8fY2Bi0Wi3OPvtsfOQjH4FQKCRBBZlMBolEAqFQSDKcZhOWuFwu6urqUFZWhlgshs7OTjgcjpz3jc/nQ6vVory8HOvXr0dxcTEymQyGh4fR2tqKwcFBuN3uJekAvVZg/B2tVit6enrQ0tKCkZERRKNRtLa2wuFwrPrMU5bVx7zEqH/961+44447SM327bffTi4EMxEIBJY1S4NlZTG1RG/Pnj2L2lYqlUIymYRUKiX/nukIBAIYDAaEw+GsyVFDQwOZrI6Pj+PNN99c9n2hKAoFBQWoqakhF7KFtE9mvKNsNht7EVwkTFbTgQMH4PV6oVAooNVqUV9fD71ej2984xvo7OwEABgMBjz11FNZfkdutxt2ux35+fmYmJhAWVlZVpQZAJxOJ2mjvW7dOgwMDCCdTqOqqurUfdAVglAoRElJCfHLmg4Oh4P77ruPLAweeeQREm1vbm5etRNliqLQ2NgIn89HPG0Wsg2JRIL8/HyUl5ejsbERdXV10Gg0SCQSGBkZwfHjx9Hd3Y3x8XH4fL5V+32xZJPJZOB0OtHR0YGJiQno9XrU19cjPz9/TWY0eDweHDlyBGNjYxCJRDjrrLNQU1NzUiC3paUFjz/+OJLJJADgy1/+Mq644opptxmJRHD8+HGIRCI0NjYuWEBKJBIYHh4GTdMrthMqY2Qej8cRj8fJXOPiiy8mz/nXv/5FOhNORSaTke9zIahUKvj9/mmFca1WC7/fj0QiseDtA/8u2yssLMTAwAAsFsu85kNerxeHDh2CUqnEpk2byG9hZGQEx44dQ11dHaqrq3PeHnN+dnZ2YnBwEJFIhHRWrq+vh0gkgkgkQmVlJQwGAwYGBjAyMjLv4AGfz0djYyMKCgrg9/vR0tKyIH8vDocDpVIJs9mMhoYGYivgcDjQ2tqKnp4e2Gw2xGKxM2qeyZj+W61W9Pb2oqWlBcPDw4jH49BoNKirq0N9fT0R9CYmJjA6OnqSoMvCspzkfMX/xS9+gSeeeAKpVAqVlZW47777sG7dujlfxwxoLGcG+/fvJ/9frF9UNBpFJpOBQCAATdNsZtT/j16vBwDY7XbyN4qi8IUvfIHcZ9L7T9X+rFu3DvF4HMePHyflX/NBp9MhFost2GSUZfJ8OXLkCNrb2yEUCqFWq1FZWUkmZT/84Q/x1ltvAZiMMj/11FNZZR8+nw+jo6NEiDrRVJWmadjtdoyOjiIUCqGmpgbJZBIjIyOorKw8Y7td6vV6KBQKjI2Nzfjbr6qqwvXXXw9g0m/jtttuw8aNGxGLxdDW1nYqd3dJkcvlKCsrQ1dXF+Lx+KK3R1EURCIRtFotSktL0dDQQASKdDoNi8WC48ePo7OzE6Ojo/B4PIteBLKcWtLpNGw2G9rb2+F0OmEymbBu3Tpotdo1KUJlMhkMDQ3hgw8+gMfjQXl5OXbu3AmNRnNS1kgsFsN3vvMdch3cvn077rjjjmm3G4/H0dLSAoqi0NTUtODxlynPi0ajyM/PXza/yaWA8Y0Si8VwuVwAgE2bNpHr2P79+8HhcEiwhEGpVCKdTi84e5vx9JouY0koFEKhUJD9WSwajQY1NTXw+Xzo7e2dc3yjaRoWiwVHjx6FWq3Gxo0bSXac3W7Hhx9+iNLSUjQ2Nub0/slkkjSocDqdkMvl4PF4EAqFWLduHfR6fdbvlhEJ6+rqEI/H0dnZOe/MLkacZbLMWlpaFjWuM0GOgoIC1NbWor6+Hnl5eQiFQujs7ERHRwfGxsYQDAbXnDDFlN1NTEwQ8WloaAixWAxqtRp1dXVoaGhAaWkptFptVkMRpVKJ2tpaRCKRnH57LCxLRc5hFMZEkcvlIj8/H88880xOr2N/zGcO6XQaBw4cAAAoFArU19cvanvhcBgURYGmadLJhmVSSNBoNHC5XIhEIsSv5aKLLsJPf/pT2O12vP322xgaGpq27fxyoNFo0NjYiLa2Nhw/fhyNjY3zahnM5XJJdtRK6N6zmmC8obq7u0HTNFQqFQwGAwoLC4nJ/WOPPYYnn3wSwGQE8ZFHHsk6P0OhEIaGhqDT6WC321FcXJxlKE/TNEZHR+H1ehGPxyGXy1FUVITm5mZIJBIUFRWd0s+8kuBwOCgtLSWeHHV1ddOWJtx444146aWXMDw8jEOHDuHIkSNQKpWLbgJwuqmoqCDiwsaNG5fcZ0YgECAvLw95eXkAJhdLoVAIoVAIdrsdQ0NDEAqFxBRdJpNBKBSuKL8blslMZ4fDAYfDAZFIRMy61/JxSiQSOH78OMbHxyGXy7F9+/YZG3W0tbVh7969GBgYADDZtfLRRx+dtltYKpXC8ePHkUgkFm2H4HK5YLPZSCn3Sj4eHA4HGo0GoVAIXq+XeO59+tOfxv/8z/8glUrh0KFDaGpqQjqdJqIMM6fw+/0L+q4oiiKletMdP51Oh5GRkSzfr8XAlO2Njo6iq6sLpaWl086L0uk0enp6MD4+DpPJhOrqavKZvV4v3n33XRgMhpw6LEciETgcDng8HigUCpjNZgQCAbjdbhQUFCA/P3/W34ZQKERlZSVcLhcGBgaQl5eHwsLCnMtG5XI5tmzZgv3792N0dBQymQzr169fku9zqm9hOp1GMBiEz+fD4OAg8dNkur2utnUG48MYDAbJdZHD4UAul0OtVqO4uHhe10OBQIDq6mqMjIygu7ub+HqxsCwn8zrLq6qqUF1dDa/XC6fTmdPN7XYv176zrDBaW1tJ6djOnTsX7F3AEA6HweFwkEqlTslCLZVKwePxrIpIidFoJB15GIRCIf7zP/+T3J/qOXEqUKlUWL9+PWiaXlCqtU6nIxdVltxgsqHa2togEAig1+tRV1eH0tJSsoh59dVXcdddd5HX7Nu3Dx/5yEfI/VgshoGBASJwFhYWZhm1plIp9Pf3w+fzwe/3IxaLYcOGDXC73XC5XKitrV2TGQ3zQaVSwWg0wu12nxSVZxCLxbjnnnvI/bvvvptklx0+fPhU7eqSw+Fw0NjYCIfDkZWtuVzw+Xyo1WoUFRWhtrYWTU1NpLso4z3U1taGwcFBWK3WRZXnsCyeRCKB8fFxtLW1IRQKoaysDNXV1Wu+YYXL5cJbb72F8fFxlJaWYs+ePdMKGQ6HAzfddBPOP/98tLS0AJjMFHn88ceJADuVdDqNtrY2BINBNDU1nVRGnSs0TcNms6G/vx98Ph+VlZWLnrOdCph5AofDgdfrBZBdqvfKK69AKBRm2Rgw39FifCmZUr3pypcUCgU4HM60vlILhcvlorS0dMayvVgshiNHjsBisaCurg51dXVESAmFQnj77behVCqxa9euGa/PTNOA3t5e9PT0gKIo1NbWwmAwYHx8HJFIBLW1tSdlQ83EYrOk8vLysGXLFvD5fHR3d2NoaCjn1+YKl8uFSqVCSUkJGhsbUVFRAYFAAJvNhtbWVvT29sJuty9Jpu9yQNM0wuEwbDYb8fEaGBhAJBKBUqlETU0NGhsbUVZWBp1Ol5X5lCtMt2C9Xo++vj52Hc+y7MxLAr755puzyjZywefzZbUMZ1m7TPWLOueccxa9vVAoBB6Ph2QyuexiVCqVQl9fH2KxGOx2O8xm86wdok43KpUKUqkUVqsVhYWFZBJy9dVX47HHHkMymcRzzz2H73//+6e0vFGhUGD9+vVobW1Fc3Mz1q9fn/OYwePxSKvkhU6w1zo0TSMajcLpdMJut8Pj8ZCobVFREQoKCrIWFK2trbj++uvJBPob3/gGrr76avJ4IpFAX18f5HI5vF4vjEZjVle4eDyOgYEBJBIJOBwOSKVSbN++HVwuF83NzdDr9dMumM5EiouL4XQ6MTg4CKVSOW2Edffu3bj00kvx4osvIhAI4JFHHsEFF1yAgYEBNDU1rdoIpEqlgtlsRkdHB+mwdKrgcrkksg1MRorD4TDC4TDsdjssFgtkMhnUajXUavWqi3yvVuLxOGw2G9xuN5RKJSorK1ft73s+pNNpdHV1oa+vD2KxmHQvm64k7ze/+Q1+9atfZZWPlZaW4mc/+9m0meWZTAZdXV1wu91Yv379ghtGMCbPdrsdHA4HlZWVq8YGQSQSQS6XI5VKwe12Q6PRoL6+HmVlZRgcHMQHH3xAAotMUEUqlYKiqAUbgwMgXT6DweBJcxqKoqDVauFyuZb8eji12144HEZJSQlCoRBaW1vB4XCwZcuWrP2JRqP4v//7PwiFQuzZs2daIYppGuBwOJBOp6HT6VBWVgYOhwOLxQKXy5VTNtRMMFlSTqeTBLpMJlNOYqfRaMRZZ52FDz/8EEePHoVCoZi2U+1SQFEUyaY1mUyIx+Pw+/3w+XywWCykBJMxYz+xW+CJ/2duSwlN01kdaJmukHK5HAqFAiaTCWKxeMmFfYqioNfrIRaLiWeYyWQ64wOPLMtDzrOyhdbzM90mWNY+U/2ilkqMYrqgLGe3xlQqhd7eXggEApSWlsLtdqOnpwf5+fkwGo0rcvBlutl1d3fD7XYTH6nCwkKce+65eO211+Dz+fDSSy/NaH66XMhkMjQ1NWUJUjOVJpyIXq9HW1sbwuHwijRRPR0w3U/sdjscDgeZjIjFYsjlciiVSpSWlp70fVksFlx11VVkoXPBBRfg9ttvJ48zGU8ikQjBYBA6nY78joDJ829gYACpVAp2ux0mkwkNDQ3gcDgYHBxELBbDpk2b1nR2w3xgzMx7e3thtVpRXFw87fPuuOMOvPnmm/D7/XjxxRdx4YUXgqZpHDhwAB/72MeWbf9omkY6nUYymUQ8Hgefz4dYLF6y8a2qqgp2ux1dXV05+5MsB0yJgkKhgNFoRF5eHjweD9xuN8bGxkj5gkqlYoWpZYBp/+71eqFWq1FTU7OiAztLidfrRXNzMwKBAIxGIxoaGk4al2maxiuvvII77riDdDUFJgM53/rWt/DlL395Wv8nmqYxMDAAq9WK+vr6BS/QmQCD1+uFRCJBRUXFqgv+MGVxsViMzA8//elP48EHHyRj6ZYtW5BMJsHn8yGTyUBR1KKyrimKglqths/nmzbAptVqYbVaEY1Gl1zYY8r2RkZGcODAAYTDYRgMBjQ0NGT9VmKxGN5++20AwLnnnntSUCCRSJCqFaYZjlqtBofDQSgUwvDwMHg8Hmpraxc956YoCvn5+VAqlRgZGUFnZyfMZvOcNgwURaGsrAzhcBjHjx/H+++/j4997GOnZAwRCoXIz88nHoV+vx+hUAjRaBTpdBqZTIbcTrw/df9zEa1mu09RVFbpHTA5r5bL5SgoKFgW8WkmFAoFampqMDg4iP7+fpSVlbHXTZYlJ+df1K9//esFvYFCoVjwa1lWD5FIBEeOHAEwKYjMtBCbD8xFPRaLzTsjL1eSyST6+vogEAggEAjQ3t5OSkCcTie8Xi/MZvOKnKwxGQjj4+NZEawvfelLeO211wAATz75JC6//PJTLhhIJBIiSLW0tJDIq0AgIG1/p9snJjtqYmICFRUVp3SfVxJM1Ndms8HlciEWi4HL5UIkEkGhUBARirmd+F2GQiF84QtfIKaqGzZswEMPPUSEh0wmg8HBQXA4HESjUWg0miwzc4/Hg6GhISQSCXi9XtTV1aGkpATA5Hk5MDCAsrKyM2aRmSsGg4GYvOt0umkXJVqtFj/84Q9x8803AwDuuusu3HnnnbBYLCTSPxfMZDiZTBJxibklEglySyaTSKVSSCQSSKVSyGQyoGkaHA6HtEaXSCSQyWRQKBRQKpWQy+UQCATzHjN4PB4aGhpw6NAhFBQUrJggFFO+qtfrEY/Hic3A6OgoFAoFEaZWQ4nSSoYpHfH7/aRL03IGkVYSyWQSAwMDGBgYIKVO5eXlJy3a2tvbccstt5ByPGBSPP3c5z6H73//+7Oe+6OjoxgaGkJVVRUKCgoWtJ/BYBC9vb2IRqPQarUoKytblY0nVCoVxsbGwOVy4Xa7YTKZcPHFF+PBBx8EAPz973/HeeedB4/HA71eDx6PBz6fTxb2C0WpVGJoaGhaby0ejwe1Wg2n07kk898ToWkawWAQwWAQYrEYer0+S2xKJpN47733EIvF8JGPfCTr2hOJRGC320mHXaZLLkVRyGQyGBsbm3c2FBPcmIuFZElRFIV169YhHA6jt7cX77//Ps4999xTKoJwudwsr8LZoGl6RpFqpvvpdBqJRCLrsamPM9dlo9EIiURyWoN+IpEI1dXVGB4eRldXF8rLy9m5H8uSwsqbLEvChx9+SLw5zj777CXZZjQahUqlQigUWpYU8mQyid7eXojFYgiFQvT395OOKV6vlyzK+vr6yAV0JUUEeDweCgsLMTg4CL/fT1L2zz77bFRWVqKvrw9tbW1obm7Gxo0bT/n+iUQiNDU1oa2tDQMDA2QBzCyCxWIxpFIp6VTDCFUajQZdXV1Z5uxnAkz5nc1mg8fjQTKZJCKpVqtFXl4eMdmczZAylUrhq1/9Knp7ewEARUVFeOKJJ8g5RNM0hoeHkUwmkclkoFQqYTKZSLMAm80Gi8WCUCiERCKBrVu3kkVSKpVCV1cXBAIBEadY/g2Hw0FZWRnpYFNbWzvtcbr88svx3HPP4dChQxgZGcGRI0dQWFiI9957D1u3bkUymTxJVGL+TSaTWRNciqLA5XLJgovP50MgEBDhcuq5JRKJSDOIRCKBQCAAv9+PQCCAsbEx9Pb2IpPJQCgUQiqVQiaTQalUkrLguQQbrVYLk8mEtrY27N69e8UJPEKhEAaDAQaDAbFYDF6vF3a7HSMjI1AqlVCr1VAqlStuv1cywWAQNpsNoVAIWq0W9fX1q1LgWAg0TcPpdKKvrw9+vx8SiQQ1NTUnleU5nU7ccccdePnll7N8f3bs2IE777wTdXV1s77PxMQEenp6UFpaCrPZvKD9dLlc6O/vRyaTgdlsXtUlN1PL4hiD7YqKCqxbtw4dHR1obm5GKBRCJpMh2b4SiQSBQACtra2or69f0GdngpKhUGjaAGV+fj76+vpyLknLlXA4jJaWFkSjUWzduhUymQxDQ0OIRCIoKSlBIpHA0aNH4ff7cc4550ChUICmafj9fjgcDoTD4WkF4oVkQ9E0jRdffBH33HMPaJrGj3/8Y1x00UWzvobJklIoFBgZGUFXV9ecQV4ul4tNmzYhHA6TboFbtmxZkZnYzDWYy+We0hL1UwmXy0VZWRlsNht6enpgNptZiwaWJWPlrKxZVjVTS/TOPffcRW8vk8kgkUhALpfD7XYvuSjBeOVIJBKIRCJ0dnZCqVQiLy8PyWQS4XAYqVQKkUgEfD4fHo8HPp8PZrN5wT4Ny0F+fj6GhoYwMTFB9ovD4eCKK67A3XffDQB46qmnTosYBUxmJTQ1NSEcDpPMjVgshkgkQurgKYoiQghDLBbDoUOHUFhYCKFQmLWgFgqFq3YSPRWaphEIBGCz2WC324m5KiMamEwm5OXlQaFQQCqV5vSZaZrGrbfeivfeew/AZCT3d7/7HSnpYDrvBYNBcDgcyGQyEuXNZDIYHR2Fw+GAz+eDSCTC7t27yQQ1kUigvb0dXq8XjY2NK0qYXUkolUoUFBTAarXCYDBMO2HjcDi477778LGPfQzJZBK/+c1v8F//9V/weDx4/fXXSbo+Iy6JRCKIRCISLWVS9kUiEXg8Hrhc7rwn6WKxmETYGRi/JZ/Ph0AggGAwCIfDgXg8DoqiiIAsl8uhUqmgVCpPMkitq6vDO++8g56enjkX2acTkUgEo9EIo9GIWCwGj8eDiYmJk4SptTDWLDVTx65oNAqdToeSkpJlXYhlMhmkUqll2/58CYfDGBkZgdPpRCwWg1arRW1tbdYCOx6P45e//CUeffTRLF8os9mMH/3oR/j4xz8+53nr8XjQ1tYGk8mEioqKeZ/nzLg+NjZGOmWthUWkVqvFxMQEOBwOCcZdfPHF6OjoAAC88847OOecc0gZn06ng0wmQ3d3NyYmJrBr1655WwFQFAWlUgmfzzetkCKRSCAUCuHxeJbM58jhcKC1tRUSiQTbt28n+1xTU4OhoSHs378fgUAAHA4HW7duhVqtJl0rM5kM8vPzTyqtymQyC/KGGh4exq233po137/mmmvw2muv4Sc/+cmcJXgikQhVVVVwOp3o7++fM0uKz+dj165dePXVV9HT0wO1Wo2qqqpcvjaWZYCiKBiNRojFYgwPDyMajaKgoGBFCoQsqwuKXg2tw9YIVqt1ybbFDAoTExMrovvbRz/6UXR1dYGiKLS1teXsETQT0WgUf/vb37Bjxw60tLRgz549S2Z+mkgk0NvbC6lUCrFYjLa2Nmg0GqRSKUSjUQgEAuTn5yMejyOVSkEsFiMSiSAWiyGVSkGv18NsNi/JxHspjmN3dzfsdju2bt1KhINAIIDNmzcT360jR46suAkok+Ydi8WQSCSIWBWNRhEMBmG1WqFUKkmUncmq4nA4ZGEuEomyRComk+h0XBxzOZaMsSojQDFdgQQCAZRKJXQ6HVQqFTHNnC+//vWv8dOf/hTAZObcH//4R+zcuZM8brPZYLPZwOVyIZFIUFZWBoqikEqlMDg4SLx1jEZjluAUi8XQ2tqKUCiEhoaGZTMUXSks9ryMx+M4cuQIhEIhNmzYMONk+/7778cvf/lLAMDmzZtxxx13IBqNIpVKkRK7qf9nMqKYfWQyopgbkxU1tRyWyYQSCATkX+ZvJxqvziS8JJPJrCyqUChEBHsej0eyqBQKBVQqFcLhMNra2rBz585lK7Gei4UcQ5qmiTDl9XqRTCahUqmgVqtJx6wzCZqmkUwmiTfP1BtN08jPz4dOp1tyYZppVx4KhcjvLRKJEK8UprySyV4+laRSKVgsFiLSxuNxGI1G0pULmPze/vKXv2Dfvn1ZHSZlMhluuukmfPWrX82pKYvf78fhw4eh0WgW1Oaeyf52Op1kIb8SjMqXav46MDCAUCgEmUyG8vJyjI+PY+vWrQCA6upqPPbYYxCLxSgoKEBzczMymQzKy8tJOdvGjRtRVlY2r/f0+XwYGxtDfX39tPMMl8sFh8MxY1ZsrtA0jf7+fgwMDKCgoCCrWx5N03C73Th27Bg8Hg/EYjHxj3K5XMT7iPGDmsrUbKiSkpKcsqGYgMmDDz6IWCw27XNMJhMeeughbNu2LafPF4vFMDIygmQyOWeWlN/vx7/+9S8kEgl85CMfgUajIUEYlqVhvuckY9cgEolQUlLCBidXEEutDyy0LHw+sL8elkXjcDjQ1dUFAFi3bt2ihShgMurIZMwAWLIJFCNEyWQyiEQitLS0EC+ReDwOs9lMOmJJJBLk5+cjFouBx+PBYDCQcpaJiQlUVVUtuNvIUlJQUICJiQk4HA7iVaBQKHDhhRfi2WefRTwexzPPPIPrrrvutO7niVAUBR6PN6PIyHgWMccnkUggFoshGo0iEonA7XZn/UaYQZcpARSJRCct1pkJzIn3l/MYMuV3ExMTcLlcSCQSJNultLQUOp0OSqVy0aaUf/vb33DPPfeQ+z/72c+yhCi32w2r1Zr13hRFIRaLobe3l2TD1NTUZPl1RSIRtLS0IJFIYMOGDUtyfq91hEIhSktL0dPTg4mJCRQWFk77vBtvvBEvvfQShoeHcfjwYXR1deFzn/vcrNtOJpPkHIhGo1kCAVPWFwqFkE6nQdP0SecHI+pOB3M+5XJjDFeTySTcbjfsdjsRz4DJRftLL70EjUZDxOOCgoIFlRmdKpjsL5PJhIKCAkSjUXi9XoyNjSGdTpPsWblcvqaEKZqmSdbqibd0Og2BQEDK2dVqNcRiMekutpj3ZIQuJguPEZ2i0WiWvxmTuckEhOx2OylRFYlEWZ5nMplsVl/Cxeyvx+PB+Pg4AJB9rKqqQmFhIXmvY8eO4Qc/+AHa2trIaymKwhVXXIHvf//7yM/Pz+n9IpEIjh07BoVCQRpHzIdwOIyuri6EQiEUFhaitLR0zS3edTodfD4ffD4fkskkCgsLsWnTJhw5cgQ9PT0kq57J5nA4HFAoFDj//PNx7NgxHD58GGNjY9i+fXvOoqZCoSCBy+ky9vPy8mC1Wom31EIW6clkEq2trXC5XKirq0NRURH5fcXjcbS1tWFkZAQSiQTnnHMOlEolRkdHQdM0ysvLiWH7VBaaDXX06FHccsstZI4PTM45f/rTn4LL5eK6665DMBiExWLBZZddhmuvvRY333zznGLrfLKklEolzjvvPLz66qt46623SAba1HN9ahCGCbxMDdKcirnemQRjqj80NISenh6Ul5efMR6BLEsPmxl1ClmrmVEvvvgibrzxRgDAddddh9tuu23R2xwaGsKxY8ewZcsWdHZ24uMf//iitxmPx0kbez6fj5aWFphMJkQiEaRSKdTV1UGj0YCmafh8PgwNDcFut0MqlUKr1SKRSEAikUChUGBiYgJ2ux1qtRp1dXULNjhfiuNI0zRaWloQiUSwbds2cjHv6Ogg3bmKiorw/vvvr6rJaDweR0dHx7RGuMxCZqpxM7OYikajiMfjWc+dCrPIYRbqFEWRycpUzx3m/8xjJwpZJy4OmGNptVrh9/ths9kwMTEBn88HmqYhEAigUqlQUFBAovpLdTyOHj2Kz3zmM+Rzf+tb38L3vvc98rjf78fAwAB4PB5EIhEqKipIm+q+vj6SBbJx48asxVIgEEBLSwsoisKGDRvOiNbswNKcl5lMhpyXmzZtmnGitn//flx55ZUAJhc6+/fvX3TmGU3TJKNqqtcUc4vFYlldgJh/GQFr6m3q+cI8d7rnMI8xJqzxeJyUjzBluDRNw2w24+yzz172SOpSXiOZ9tpMxlQmk4FarSbn8WpZ4DDH5UQRkxk3mHLQE2/zFUKYrNcTPc+i0SgRnCKRCPGtY7xWpo6r6XQaFEWRsR2YLPuOx+NkrOZwOOR3xBj1M0IpI1IxC9YTS73nM/ZGo1GMjo4iHo9DIBBgYmICIpEItbW1pDzearXi9ttvx2uvvZb1e9u2bRvuvPNO1NfX5/x+8XgcH374IbhcLrZs2TLvLFmXy4Xu7m7QNI3Kykro9foV9RtdqnOTpml0dnYiHo+joKAABoMBTzzxBOkae8MNN+D8889HZWUlkskkDh06BA6Hg4qKChQXF8PhcODgwYMAJo/T1CYeszE4OAihUAiTyTTt48lkEiMjI8TTaa7ytakEg0EcPXoUNE1jw4YN5PfFlFu2trYimUyiuroaNTU1OY2jC8mGCgaDuPfee/HUU0+RY8ThcPCVr3wF3//+94m59uHDh3HTTTeR7xGYDEr/6le/QnV1dU6fOdcsqeHhYbS2tpKqBWZeNVWAOtHyAQCZ600tfZ9OwOLz+aBpOitTPx6PZ5XH5+KduBpZ6DlJ0zQROUtLS09bJjTLv1mNmVGsGHUKWati1Le+9S38+c9/BgA899xzWdkYCyESieDQoUMIhUKoq6vDyMjIon2o4vE4ent7iTnt8ePHYTKZEA6HQdM0amtrpy1jC4fDGBgYgMVigUgkglqtJgsRmUyGgYEBuN1uFBUVoaqqat6RgaU6jk6nE62trWhoaMgSEy6++GIcPnwYwKR31Ec/+tEFv8fpYGhoCBwOZ97ZFMzChFkYMzfGd4T5l1mwMzfmPvPcqaLV1AX5dKbRfD4fYrEY/f39pPxOIpEQw2SVSpVTacZ8GR0dxQUXXACv1wsAuPTSS/HQQw+RxQfTkYbD4ZDONkwXov7+fni9XohEImzevDnLQ8Pj8eD48ePEiH4llHecKpbqvPT7/WhubobBYEB1dfWMC8Ibb7wRL774IgBAr9fjox/9KPbs2YNdu3bNayGz0hgbG0N7ezt27doFPp+Pd999F+Pj45DL5TjnnHOWtdxzua6RNE0jHA7D6/XC6/WCpmmoVCrk5eVNm5FwqmGEyOmynBKJBBFqRCIRyXZimkjkuu9MJtVUoWk6w31mDGXG4VQqNa2gzywi0+k0wuEwwuEwGaNpmiYZaRqNBkNDQ/B6vUin0yTTgfksTLYth8MhYhhFUWShOrWbKFOyeqJQxSxQmW0wWccajQahUAg2mw1arRY1NTUQCoUIh8P42c9+ht///vdZvlBFRUW4/fbbceGFF87rN5FKpXD48GHE43Fs3bp1XuMuTdMYGxvDwMAApFLpSR5WK4WlPDcdDgfGxsYgFAqxbt06uFwubNy4kRi1/+EPfwCPx0NRUREpRx8aGgKPx0N5eTkMBgMOHToEq9WKsrIynHXWWXOKDUyp/WyeeIxp/Pj4OHQ6HQoKCuYUda1WK9rb26FSqbB+/XoyXwgEAjh69CicTicMBgM2btyYU2Aok8nAarXC6XTmnA1F0zT++c9/4oc//CFsNhv5e319Pe6//36sX78eQPYxTKVS+M1vfoP777+fNDISCoX4wQ9+gK985Ss5+106nU5YLJZZs6SYMSIYDMLtdsPlcmUJ22KxmHRIZTwNmfngibepwjwz/6NpOsuMfOr4yHwOpiydua2FErXFnpMejwcjIyNkvnu6r4NnMqwYxTIra1GMomkamzZtgs1mI0bgi1lwx+NxNDc3IxKJkIHe7/dj+/btC95mLBZDX18fVCoVMpkMOjo6iBAFTBruzmVKHovF0N/fj/HxcfB4POIfYjAYwOPxSLtks9mM4uLinA3Xl+o4ZjIZfPDBBxAKhdi4cSO5EDz//PO46aabAADnnXcefve73y34PU4HsVgMnZ2dp7xD09QMjxPFLEa4YhZdzEQnEAggFouRcqT8/PxlX5z6/X588pOfxODgIIDJ6O4f//hHcg7GYjESIRcKhaiqqgKXyyVlBD6fD/n5+di4cWPWhMput6O9vR1KpRKNjY1nTHcshqUcX3t7e2G1WtHU1DTjOONyubB7925iYs/A5XKxYcMGnHfeeTj33HMX3AXqdEHTND788ENkMhkyhnd1deHo0aMAgKamJqxbt25ZPtOpuEbSNI1QKESEKcbg+MRyEOb/S/03hqm+TtFolJTWTZflxAg/C8Xv92NsbAyJRCLLo4/JhkqlUiSjgCnlZMrsGIGeCdowXmRMZmYymQSHw4FCoYBWqyU3puSOOZ7pdBputxtOpxNutxter5f4l3E4HEilUiKsM+8LTC5kmcfFYjH4fD64XC4ZwxmBjcm4YMbNvLw8DA8PIxgMZnW0e/rpp/HQQw9l+UJJJBLceOON+PrXvz5jcGpq5uLUDMZ4PA6Hw4FgMIht27bNy2A7lUqhp6cHNpsNer0eVVVVK3bcXspzM5VKobW1Fel0GrW1tZDJZLjyyiuJyfYzzzwDhUKBxsZG8rtPpVIYGBgg2ULl5eVIpVJoaWmBWCzGrl27Zs3wSKfTOH78+LRZ2ycSi8UwNDQEmqZRWlo6rbiYyWTQ3d2NkZERlJWVobKykoihnZ2d6O3thUAgwIYNG2Ys+T6RhWRDWSwWkt3HIBaLcfPNN+NrX/ta1hxhumPY3t6OG2+8kXTyBYDdu3fj5z//ec5ZZ/PxkgL+7fMXDofh8XhIMxgmqMiUFms0GjJvj0ajCIfDSCQSWf6jQqEQPB4vK/M+Go3C4/EgEAgQMZ0pE2Q6RIvF4ixxaqWed7OxFOdkJBIhQrjZbF6TGWSrAVaMYpmVtShG9fX1Yc+ePQCAnTt34rnnnlvwtpLJJFpaWhAOh1FaWkq8I5gSoYXA+OGoVCokk0n09fVBr9cjGo2Cw+GgtrZ2Xmml8XicZEoBIAbaxcXFiEQiGB0dBYfDQUFBAYxG45zRq6U8juPj4+jp6cGWLVvIBTyZTGLz5s1wOp2gKArvvfceSkpKFvU+p5rBwUHweDzih7UScTgcsFqt2LFjB6LR6Ck5JxOJBK644gp8+OGHAICysjK8/PLLxNMpmUyiu7sbiUQCQqEQ1dXV4HK5GB4exsjICEKhECoqKlBdXU0Wa0y3vZ6eHuh0Oqxbt25NRP3my1Kel/F4HIcPH4ZYLMaGDRtmFF7a29vx05/+FAcPHkQikZj2OWq1Gueccw7OPfdc7NmzB1qtdlH7diqIRqN4++23UVtbS8Yet9uNt956C6FQCEajEWefffaSd0w91ddImqYRDAYRCARI2eLU953q2ZXL3+bzmqkdF5nbUi8EEokExsbGEAwGkZeXBy6Xi0gkgmAwSK6nU/3JGE8XJvsKmLweO51OuFwuko0Qi8XI6xix3+v1wu12n3TjcDgoLS1FZWVl1s1gMMDr9cLpdMLpdBJxisluUCgUpJyS8cGaWs6jUCigUChIGQ5THsj4VHV3d5P5gkajwdtvv42f/vSn6OzszPqOLrvsMnzzm9+EUqnMKvM5MWOMaUYwVRRkGggIBAI0NDTMa14SjUbR3t6OQCCAiooKFBUVrWjReqnPTaaroVarRUlJCZ555hl897vfBQB87Wtfw3/+53/CbDaf9J2eKEoVFhZiaGgIgUAA9fX1s2Y+9ff3QyaTwWAwzLl/mUyGZNiZTCbodLosD6jm5mYEAgGsX78eer0eNE3D4XDgyJEjiEQiKC8vz7mD7dRsKKPRmFOJZjqdxpNPPon77ruPBGmByQDmT3/6UxQVFZ30mpmOYTQaxT333IPHH3+c/E2lUuG+++7DJz/5yTn3HwD5/FarFVqtFgUFBfMaz5LJJDweDxwOB2w2G3w+H8nUZMaD/Px8cixy+V7T6TRCoRBcLhc8Hg/8fj9SqRTJiGfKmRkBbKo4NZ+s09NFOp1GYWEhbDbbos7JZDKJwcFBpNNplJeXL0s1AMvssGIUy6ysRTHq8ccfx49+9CMAwO23345rr712QduJxWJobm6G2+2GwWAAh8OBTqfD2NgY1Go1amtrF7RNRoiKRCJkW4znRG1t7YJLYKLRKEZGRkiUlqIoyGQymEwmYqjJ5/OhUqlgMBigUCimvRgt5XFMJpN4//33YTAYUFNTQ/7+k5/8BP/93/8NYLIN7w9/+MNFvc+pJhKJoKenB+vWrVuRESe73Y6JiQmyMFruTIxjx47hmWeewT//+U9SmpeXl4e//e1vZLGfTqfR09ODSCRChCiKotDX10fMmJuamrIuMjRNY2hoCAMDAzCZTKipqVnRC5rlZKnHV6vVip6eHlRXV895YY9Gozh48CDefvttvP322xgYGJjxubW1tdizZw8++tGPYtOmTStWOBwcHERvby/OOecckhmQTCbx3nvvYXR0FCKRCDt37sw56p8LK+UaudphFoYTExNE0LFYLGRs4HA4RMTh8/mIx+OIRCKw2+0YHx/H6Ogo8c4LBoMIh8NZnfKW4tiIRCIUFRWhuLgYZrMZZrOZZKZGIhGEw2FS1icQCCCTyYhnH+NlNbUZhlQqhUKhQDqdxtjYGDHBHhsbw2OPPYb333+fCI4AUFlZic9+9rMoLi7O8qaZ2r2SySJjMtaY/08tW1yIwbLH40FbWxsoisK6deug0WgW/X0uN0t9bkYiEbS3t4PL5aKpqQmhUAhNTU2kAcqLL75IMpOm40RRisfjwWazQaPRYOfOndNmM7lcLrhcrqy51lwEg0EMDw9DLBbDbDYjFArh2LFj4PP5OOussyCVShGLxXDs2DGMj48jLy8PmzZtmjNznyEUCmFkZARcLhdmszmnEs/29nbccsstaGlpIX/T6XS46667cNFFF834e5zrGO7fvx/f/va3s0r9LrvsMtx99905z7tzzZJKJBKkvJc534HJLEWpVEqaLcRiMdhsNrjdbpLpxOFwIJfLodVqodfrodPpcppnZjIZUirodrtJNhafz4dUKiUBASZjc6o4tdhmNQsllUqRRhFTm0ZEo1EkEgkUFRWhqalp0fPsTCaD8fFxeL1elJWVrchS4bUMK0axzMpaFKOuvvpqvPHGGwCA119/fdZIEgPjNxEKhRAKhRAMBjE2NoZYLIaKigoUFhaSVNe33noLpaWl887miUajpDQvGAzCZrNBLpcjmUxCIBCQdO7FEgqFMDo6SsoMYrEYlEoltFotAoEAuFwuiRIbDAao1eqTyi2W8jj29vbCYrFg586d5IJitVqxfft2pFIpqFQqHDlyZNX5/wwMDEAoFC7pYnUpYIzsKysriaHncpyTAwMDeO655/DSSy9hbGws6zGhUIhnn30WmzdvBjA5Eejv74fP5yNCFGP0ypTTbt68OWtCmMlk0NfXh9HRUZSUlKCiomLFR/KWk6U+LzOZDJqbmxGNRrF58+Z5RQtHR0eJMPXee+9lRa6nIpVKsWXLFuzZswcf+9jHVlQmIU3TOHDgAKLRKDQaDXQ6HfLz88Hn89HV1YVjx46BpmlUVVXhrLPOWhJRbaVcI1czzPWN8cViOoIeOXIELpeLlNh5PB643W7SrGGpEQgEUCgUoOnJlva5wuVyYTAYUFBQAL1eD41Gg7y8PCiVSlKuONU8nfGtSiaT5HMwi8rXX38dr732WpYvVH5+Pq6//npceOGFJCONKf1b7vGT8YdivDDr6+tXzXV9Oc7N7u5uBAIB0qH2K1/5Cl599VUAk+WUeXl5WL9+/awBlmQyiYGBAYyMjCCTySAUCgEANm/efNIcNJlMoq2tbd4WAqlUCqOjoxgdHUUgEEBRUREaGhrA5XLR39+PtrY2cDgcNDY2oqSkJKeAUCKRgN1uh8vlyjkbKhKJ4Oc//zkeffRRpNNp8vfPf/7z+MEPfjCnAJbLMfR6vbjlllvwyiuvkL8VFhbioYcewtatW+f8XMDJWVIGg4GU2THCUzKZhFgsJsITU4Y723eQTCYRDAZht9vhdDrh8/lIowSpVAq1Wg2DwQC9Xp9TEwfm98L4WDHilEAggEQigVgsBo/HQzKZJMFr5rbYzqQn7kcwGITf74ff7yeCE+MZyDSMYIR5sVgMuVwOsViM4eFhAJN2D0shartcLoyNjZ2UDciyvLBiFMusrDUxKplMYt26dQiHw8jLy0Nra+u0gw3TiYgRn5i244yvg8PhgMvlQn19/Uk/+n/9618ndfiai2g0SiZogUAAPp+P1IGLRCLU1NTMy4thLmiaht/vx/j4OCKRCBKJBPx+P+RyOaRSKTgcDpRKJSKRCACQSTFT1rDUEcKDBw+isrIyazH6pS99Ca+//joA4MEHH8RnP/vZRb/XqYQx4W5oaFgR2R80TWNiYgJOpxOVlZWQSCRLfiydTieef/55vPjiiyeVgwCTC7TzzjsP119/PTZu3Ej2a3h4GA6HAwKBADU1NUgmk2hvb4fL5YJWq8WmTZuyJs+ML4XNZkN1dXVWG+kzleUYX/1+P44dOwaTyYSqqqoFbSORSODo0aN4++238dZbb6Gjo2PG55rNZuzYsQPnnXcedu/efdo7ISYSCVgsFuLxE4/HIZfLkZeXB4FAgPb2doRCIeTl5WHXrl2k3HShrIRr5GollUrBYrHA4/FAq9UiEonAYrHg6NGj+NOf/pTlkbQQJBIJNBoNEYe0Wm3WfSaDORgMQqlUoqamBiUlJSgqKkJPTw96e3vR39+Pvr4+9PX1ob+/HyMjIzkfZ4qiYDKZYDKZoNVqiQG9yWRCfn4+2Q8AePnll/H0009nfWaxWIzrr78e11xzzWkRgNLpNLq7u2GxWFBcXEyaUqwWluPcdLvd6Ovrg1KpRG1tLV566SVcd911AIDPfe5z+NKXvgSj0Thto5oTYUSpoaEhBINBJBIJmM1mbN26NevayWTez2d+mk6n0d7ejuHhYcjlcpSXl0Mmk+Ho0aPw+Xwwm83YsGFDTgJXPB4nIpRSqURBQUFOv8e33noLt956a1Zgq7KyEvfffz+2bNmS0+fI9RjSNI3nn38et99+OxH3KIrCH8BFMQAAXYxJREFUtddei5tuugk8Ho/4czJenSfeT6fTiMVisNvtiMfjkMlkyMvLI3NsiUSy6N9/JpNBNBqFw+GA3W6Hx+MhjRROFK2ndlxmGiCIxWJSrieRSMDj8RCNRuF0OuHxeEipoFAozPKsYzzqTjRFn02cYgQnr9dLMk4ZWxNme0x2JrM/crkcCoWCmLoz+z/Vk1AkEuEvf/kLIpEIGhoaUF5evmiRLBQKYXBwEAqFAsXFxWdstv2phBWjWGZlrYlRhw4dwiWXXAIAuPDCC/Hoo48C+He3C0Z4CofD00YCKIoiF/zq6uqTIvnpdBr//Oc/sWfPnpwXUpFIBH19fZDL5QgEAohGo0gmk6SlfU1NzZJ7kzAwUVur1Uq8JjweD7lgMR3VXC4Xkskk8vPzkZ+fj6KioiU9ji0tLQiFQtixYwcZ+N99911cccUVACZNg6dGqlYLfX19kEgkM7ZTPlXQNE0WapWVlWTytxTnZCgUwiuvvII///nPxPh5KhRFYdu2bbj00ktxwQUXnBS9HBsbg8ViAZ/PR21tLcLhMNra2oiXSF1dXdZkgInuejwerFu3LmeT0bXOco2vTObixo0bl6QFst1uxzvvvENuTNnmiQgEAqxfvx47d+7Eeeedh3Xr1p1WHwvGX4kJRPh8PqRSKRLpZspWpvqZzZeVcI1cbdA0DY/Hg/HxcWLKOzw8jO7ubjz33HNoa2ub9nVMp1mtVgudTgedTjej2KTRaGZcMKdSKQwPD2NoaAgURRGzcCZrabbjGY1GMTg4eJJINTg4OKMH23QolUpybfZ4POjq6sp6/NJLL8Wtt956Sibo0xGNRtHa2opgMIi6ujoYjcZVFzxYjnMzk8ng+PHjiMViaGpqAk3TaGxsRDQahUqlwj//+U+EQiEUFxfnPJ9MJpPo7+9HT08P/H4/xGIxzjnnHOj1egCTXpE+ny/n4EI0GsWRI0cQj8exceNGCAQCHDhwAHa7HWq1Gtu3b88pIyUajcJms8Hr9UKtVkOv1+c0r3U6nbjjjjvw0ksvkb8JhULceOONuO666+aVsRuNRiEWi+FwOIhwdKKgNPVvVqsVP/vZz7ICKGVlZbj55ptJBhjT8GDqberfKIoiJXnxeJyU0yqVymUpfWMa00QiEdIgYqoP3NRuzIwPHDNnm9pxmRGymMxLpmECMOn3J5fLibDGbIfJxmIaQoRCIbIfTIYTj8cjQphUKoVcLodSqYRKpSJZmrl+J8w5OTY2hoMHD8Jut6OoqAiNjY3z7hI+3ffINNkpKytbkXYbawlWjGKZlbUmRj3wwAN48MEHAQB33nknPv7xj5PUWR6PB7lcTrwkprtQjIyMoKenBxUVFSgtLT3p8WAwiHfeeQfnn39+TlGPSCSC3t5eSKVSBINBYjjIpM/X1NSckihmJpOB3W6H3W4n0RG3241UKgWpVIqqqipIpVLY7XZEo1GSor1UeDweHDlyBBs2bCCt0zOZDPbs2UP8Z1555RU0NTUt2XueCkKhEPr7+1FfX3/asqMYg2+fz4fKysqsi/RCz8lEIoG33noLzz33HP7v//5v2oVTXV0dLr30Unz605+e8cJgt9sxMDAAPp+PmpoaeL1edHR0IJVKoamp6SQT0ng8juPHjyMYDKKpqWlVeI2cKpZrfI3H4zh06BCkUimampqWNEqYTqfR2tpKsqaam5tPEjMZ9Ho96urqYDabUVJSgvLycuLtwHjZ8Pn8UxbFzGQy8Hq9sNvtGBwchMPhAE3TUCqVWLduHUwmE/ErypWVcI1cTcRiMYyOjiIWi0Gv18PhcKC/vx8vv/wyXn/99azvsL6+Hl//+tdRW1s7r8X9TKRSKYyMjGQtWEpKSrKuiws9nsy2TxSp+vr6Zix5nY4NGzbgzjvvxFlnnZX7B1tifD4fmpubiTfSQj0vTzfLdW6Oj49jbGwMhYWFKCoqwvXXX4+//vWvAIAnnngCdXV1cDqdkEgk0Ov1UCqVOY0pyWQSXV1daGtrQyKRQElJCc4++2xkMhm0t7fnZC7ucDjQ0tICuVyODRs2wOVy4ejRo8SrRyAQwGg0wmAwzLhP4XAYNpsNfr8fGo2GlJDNRSaTwTPPPIN9+/ZldWzdsWMH7r33XpSXl8+5DWY7TKOAWCwGk8mEYDBIhJfpBKSp92maxuOPP45f/OIXSCaTACaF7Ntuuw1f/vKX5zW+MxUIgUCAWGIwjQgUCsVpmSMy4ls8Hkc4HEY0Gs0SsaY2MpjaQZPp/MfAlPkyNy6XC7FYDIVCAbVajfz8fOTl5UEkEi2JAJdOpxGJRFBSUgKPx4N0Oo2Ojg4MDAxAJpOhsbFxXtl/05HJZEhpallZ2WnP1F7LsGIUy6ysBTGK8XsKh8P4/Oc/TyKlf/rTn2A2m7O6R8yGxWJBR0cHSkpKUFlZOe2AarPZcPz4cXz84x+fc7/C4TD6+vogEolIZx+XywWJRAKJRILq6upFq/vzJZVKkVIuZr9cLhei0Sjy8vJQU1MDkUhEjASLioqWZICmaRoffPABBAJB1sT50UcfxZ133glgMrr7y1/+ctWlzPb29kIul5+WDB6apjE6OopgMIjKysqTfuPzOSczmQwOHz6MP//5z3jllVcQCAROek5RUREuvvhiXHLJJaiurp51e263G729veByuaiqqoLdbkdvby/4fD62bt16UslTJBJBc3MzkskkNmzYsCRZOmuJ5RxfrVYruru7UVtbu6y/Y5/Ph3fffZf4TU01kp0OiqJgMBhgMplQUFAAk8kEs9mM0tJSGI1GCIXCLBNmxnx5ObIy7HY79u/fj2AwmBXYUKlUJPOGya6d7fOwYtTcTO30xZSP9/T04LXXXsNf//pXUloDTBobf/Ob38RVV10FPp+/6Pc+UYRi/CGnW0gu9fGkaRpWq3VakWqqL5XBYMBtt92Giy+++LRdLxl/qK6uLmi1WjQ0NKzq7ILlFPuPHTsGoVCIpqYmvPHGG/jyl78MYHLO86tf/QqpVAoulwsOhwNcLhd6vR55eXk5ezMdOHAAQ0ND4PP52Lx5MzKZDCntnA6apsnvijHXP3z4MBwOBwoKCrBp0yaIxWKEw2Gy3ZKSEjK/oGkaoVAINpsNoVCIGG3nevz7+vpwyy23kK67wGR3ux/96Ef47Gc/m9P4HY/HiWE7j8eDTqeDVqtFYWHhgo5he3s7brjhBvT19ZG/nX322di3bx80Gg3S6fSMN8ZwnPE5oiiK+DUxwlQsFlv2rKmlJpFIwO12Y2JiAh6PhwT1p2aTxmIxBINBACDfgVwun7colUwms2xTIpEI8bZizNwpisLQ0BB6enpA0zTKysoWXQ481f+rqKhoVXQDXgw0TZMMwlP5+2PFKJZZWe1i1Pj4ODweD1KpFDKZDC699FKk02mUlJTg/fffz3k7DocDx48fh8lkQm1t7Ywn6eDgIEZHR7Fnz55Zt8f4CfF4PKTTafD5fFgsFpL2Wl1dfVrbi8bjcVitVni9XkgkEkQiETgcDiQSCeh0Omzfvh0TExOw2WzEt2KxUR2r1YqOjg7s2LGD+GOFQiFs3LiRRIM1Gg127NiBnTt3YufOndNmp600AoEABgcHlzybbC5omsbIyAhCoRCqqqqmnQjmck52dXXhhRdewF//+ldMTEyc9LharcZFF12ESy+9FJs2bcrpeAQCAXR0dICiKJSXlxNzVI1Ggy1btpwkwgaDQRw7dgwcDgcbNmxgI1TTsJzjayaTwbFjxxCLxbBly5ZTsqikaRo9PT0ka+rQoUPzKl2SSqUoLi5GYWEhCgoKYDQaYTQaUVhYmJVNdeJtMdlV8XgcH3zwAcbGxkBRFGls4fP5EIvFIBaLZ40Ss2LU3Pj9foyNjZEF5sjICN555x08++yzWX4yQqEQn/3sZ7F3796cO3vNRjqdJuV4zEKHKcebiVN5PD0eD/r6+hCNRrFly5ZlK+3PhUwmg87OToyPj6O8vHxJfFxON8t5LPv6+uB0OlFTUwOZTIYNGzbA5/NBIpGgtbWVZMdnMhl4PB7Y7Xak02nk5+dDq9XmNPfyer144403EAqFIJPJYDabsXnz5pOu18lkEi0tLfB4PKivr4fX60V3dzeEQiE2bdp0UjAinU6TLmRFRUWkq180Gs1q+pALsVgMDz/8MB5++GGShQQA//mf/4k77rhjzkzoqaXUgUAASqUSOp0uK0M1Pz8fFouFlJZNLVVj/j/TLRKJ4IknnsDf//538p5yuRzf/va3ce655xKT7RNv6XQawWAQwWAQXC6XeCEpFAry3azErKn5kk6n4XK5YLFY4HK5kE6nSUmmSqUinnqhUIh8D8xt6nqHpmkkEomshlHxeJyUYU9NIBCJRDhy5AgoikJxcTGkUimsVisZC1UqFRoaGhY9Z2Tm8WKxeNWPZSeSTqcRjUbJjaZp7Nix45ReQ1gximVWVrsY5ff7weFwIJVK8frrr+MrX/kKAOALX/gC7rvvvpy24fV6ceTIEej1etTX1886EHV2dsLv92P79u0zPicUCqGvrw8URRFjwaGhIahUKshkshmFg9MBYwIbCoUgFovh9/vh9XrB4/GgVCpRWloKn8+HcDgMk8kEjUazYHEonU7j3XffhV6vR21tLfn73r178bvf/W7a1xiNRiJM7dy587R7M00Hs6hWqVQwGAyn5D0zmQyGh4cRjUZRWVk54+9ppnPSYrHgL3/5C1544QX09vae9DqRSIRPfOITuOSSS3DOOefMK+MgHA6jvb0dqVQKpaWlGBgYgNPpRGlp6bSdgzweD1paWiCRSNDU1HTKswVXC8s9vvr9fhw9ehRFRUWorKxc8u3PRSwWw9DQEPr7+zEwMICBgQHitzM1E2YumO/JbDajqKiIiFVMCQyArLb2EokEarU65+AATdPo7u5Ga2sr8dnbtm0bOBxOlt9UOp2GRCJBXl4edDod8cwoKChgxahpSCQSGBsbQzAYhNFoJI0vnnnmGRw9ejTrubt27cKPf/zjrOvIQjlRhJotE+pEzkRxkcn0CYVCWL9+/aJLZVYKy3ksfT4f2tvbkZ+fj6qqKnzve9/DH//4RwDAI488gk996lNZz2ca0NjtdkQikZwzj9LpNJqbm9HZ2Yl0Oo3CwkLU1tbCZDKBoigEg0EcOXIEwGTZaXt7O8LhMKqqqtDY2Djj3JfJwGYCrFVVVTAYDPMKvh08eBC33HILsWUAgJKSEtxzzz3YvXv3rK9NpVJwu91wOp1Ip9PEB04gEJBmRIxxtkAgIKLQQm/vvfcebr755qwGAZ/97Gdx1113QS6Xz7ifTDZUMBgkvk4SiQQKhYJk0nI4nHlnTbndbnR0dKCrqwudnZ2wWq2ora3Fzp07sW3bttOSRZ7JZOB2u4kwlUgkyBxYr9cTQ3NGnGJK+xiPKpqmIZFIssSnE8dc5py0WCyw2+2YmJiAWq2GyWSCx+PB0NAQotEo0uk0amtrUVBQsKjgNePHtdqhaRqxWIz4I0ejUYhEItKgi5mXnMrgOStGsczKahejpnLbbbfhySefBAA8/vjj+MQnPjHnawKBAA4dOkRa7M51ch49epRkb0xHKBRCb28v0uk05HI5+Hw+ent7oVarIZfLZxUOTieBQAAWiwXxeJyU71mtVtA0DZPJBKPRCKfTCYFAgKKiogUr6gMDAxgeHsbu3buJwBEIBPDLX/4Svb29OHz4MEn5nY6SkhIiTO3YsYP4T51u/H4/hoeH0dDQsOxRlUwmg6GhIcTjcVRWVs4qFE09Jz0eD1555RW88MILOHTo0EnP5XK52L17Ny655BJ84hOfmFd3x0wmQ1qqOxwOJJNJFBQUoK+vD5FIBI2NjdN6QDgcDrS2tkKlUmH9+vVLUmazVjkV42tPTw+sVis2bdo066T7VMKk0Q8MDBChanBwEAMDAxgdHZ3XdyGRSIj3D5NVVVxcDKVSSUQptVqd0xjtcDjwwQcfIBAIQCQS4ayzzkJpaSmAyfPB7/fD4XDA7XYTMU0qlaK8vBwikQgKhWLNRWAXAnN8JyYmoFQqIZfL0draij/96U94/fXXszIoSktLsXfvXlxwwQWL/u7S6TQpx8tkMuR3MZ8MhdM95znVeL1eHDt2DAKBABs3blzSDsCnm+U8ljRNo6WlBZFIBJs3b8aHH35Imrecf/75+O1vfzvja0OhEOx2O/x+f87G4E6nE2+88QbpEK1Wq2E0GjE0NAS1Wo1EIgGr1QqtVoutW7fOmFXCZGrZbDbQNA2NRkM6+ZWUlOR0jfB6vdi3bx+eeeYZ8jcej4drrrkG3/rWt2b1TI1EIqTzm1gsRn5+PlQqFSiKIgKU1+tFOp2GUqlEXl4eKioq4HQ659yvufB4PLjlllvwj3/8g/ytqKgIDz30UM7d/ZLJJBGmAoEAWRcwmVNM5iyTNeXxeNDd3Y2RkRFYLBYMDQ2hr68PDodjxvfgcDior68n8+ItW7ac8vOS8e2yWq1wOByIxWKkvE4sFhODdUYoymQyRHhjRLpcyqCnBiwYgXVkZAQA4HK5YDQaUVtbe0bOI5PJJPmdBQIB0DSdlXl3utedrBjFMitrSYzavXs3BgYGwOVy0dnZOWfaZiQSwQcffACZTIaNGzfmNAl9//33odFoUFNTc9JjwWAQPT09SKfTxOeiq6sLGo0GCoViTuHgdEPTNLxeLyYmJiCRSBCLxeByueDxeMDhcFBaWgqpVAqv14v8/HwYjcZ5K+uxWAzvvvsuampqssyrrVYrnE4nmSR1dHSgpaUFR48eRSwWm3F7NTU1pKxv27ZtS1KusRCYbAmNRrOskeJMJoPBwUEkk0lUVlbO+ptlTOsHBgbw29/+Fm+99RZSqdRJz9u4cSMuvfRSXHTRRfOql2d8IzweD9xuN+LxODEElclkGBwcJJ32phMNLRYLOjs7kZ+fj3Xr1q2KNPXTyakYX+PxOD788EPI5XI0NTWt+BLZWCyG4eFhkknFdCobGBiYV4SzoaEB559/PrZv3w4ej0cWcGq1etYxmzF/Z8r2SkpKsGnTppNewyw2HA4HIpEIPB4PBAIBdDodjEYj1Gr1GSlMhUIhjI6OIpPJwGQyYWJiAs888wxeeOEF+Hw+8jylUomvfOUruPHGGxdd3p5OpzE6OoqBgQEiQpWWli4oSny65zynktHRUXR0dMBoNJ7Whh3LxXIfS5vNhr6+PpSXl0Ov12PTpk1wOBwQCoVoaWmZ0/g9FovBbrfD7XZDLpdDr9fP2kBhbGwM7e3t8Pl8pGxZKpXCZrORgGpJScm0r81kMnC5XLDb7cS3j/GwomkaTqcTFouFzAOnG7tomsZf/r/27jy6repcG/ijyZJs2fI8T5kHO85MHEhISktLSUoJQ5ihdOBCAy1fB6YFDS30tlBue28XZUgLtKShpaHQCwQo0EtIQmYSJ3acwYkdJx5k2ZYn2Zp1vj+89q5ky1Nsy7b8/NbSsq3BOvYrbZ3znne/+6238Pjjjwf1O1u0aBGefvrpPqsa/X4/Wltb0djYiK6uLllZajQaQyagEhISZGJ/NHq4bd26FY899pg8oaBWq7Fhwwb84Ac/GNIBvqhWEckCi8WC6upq1NXVobq6GmfOnEFFRUW/+7uDodVqsWDBArlfvHjx4lFfJClwtfKOjg7YbDZ0dHTA6XTC5/MhLi4OWVlZyMrKgslkCprWKO4nVt4LrCDrK55iKrdGo0F8fDzq6+thMplQU1MDrVaLoqKiMTsWCBdFUdDZ2SmnfooqPLPZjLi4OMTExIyr/Tcmo6hfkZKMqq2tlWcr5s+fH3Q2IxSn04l9+/bJho+DTRJ98sknsow/UHt7O44fPy53qn0+H8rLy5GUlIT4+HhMnz59Qu286XQ6lJaWwuFwQKfTobm5GTabDVqtVu64ezwe5OTkyDNVg3X06FG0tbVhxYoVQY8TjegDmxja7XZUV1ejvLwchw8fllNjQlGpVJg3b96YnSFqaWnB+fPnB5zqeaH8fj/OnDkDn88nX0/iYO7cuXOorq6WX6urq3H+/Pk+/1fTpk3DunXrsG7duj53SEMRJfEiAdXV1SX/1ri4OERHR6O9vR2nT59GXFxcyHnpiqLg7NmzqKioQHZ2NmbPnj0pD8SHKlzja11dHcrLyzFv3jy5XPhEoygKmpqagqb8iUSVSH6EotVqsXr1alxxxRUoLCyEx+OByWSSialQY7iiKDh+/DiOHTsGj8cDs9mMZcuWhUzsigO7U6dOoaGhQTYA1mq1SE5ORkZGBpKTk8NaPj8WvF4vamtrYbPZkJaWBo1Gg3fffRd//OMfZeNwoLta88orr8Tjjz8+7CnQYmqzqISaMmUKpk6dOqz/daQno0TF69mzZ1FfX4/Zs2cjPz9/XB3kjJTRjqXH48GBAwdgNBqxYMECbNy4ES+99BIA4Oabb8bDDz+MxMTEQf2exsZGmchKS0tDQkJCr5iIBXQSEhLk1Dyv14v8/HwsWrQo5D6vz+dDY2MjGhoaoNPpkJ6eHvJ3A4DD4UBVVRVUKhWmTJkip9e73W689dZbePHFF3Hy5El5/9jYWDz00EO4/fbbQ37eu91u2ZBcrVYjJSUFiYmJcLvd/SagAo1WDM+dO4fvfe97OHDggLxu3rx5ePbZZzF9+vR+HyumAZeXlwddBnvsZTabMWPGDOTn5yM7OxvTpk1Dfn4+Tpw4gc8//xyff/55UNP1nkQVo0hOLVq0aNhVMl6vVyaexGrlOp0uaMqdeD20t7ejrq5OTjmNiYlBamoqMjMzERcX16syTPRf1Gg00Gq1yMjIgE6nk79PrOYnPuObm5thMBjgdDqRkJCApqYmtLW1YcqUKcjNzZXju3hc4Pc9fxbfj1diGmFbW5tcMTKw+mk8FzswGUX9ipRk1F//+lf88Ic/BABs2LABjzzySJ/3dbvd2L9/P/x+P5YtWzakM60ffPABFi1aFFT9Ipo1i6anDodjQieiRBzr6urQ0dEhS8S1Wi2am5vR0tICg8GA7Oxs+P1+xMbGIicnZ9D/x/b2duzevRsXXXTRgDtfoslhZ2cnOjo60NraioqKCpSXl6OkpATl5eX9HlguXLhQJqcWLVo0qv2IxEGpWFlrJPh8PlgsFlRVVeHgwYOoq6sLSkAFnnEcSFpaGr7+9a/jmmuuQWFh4ZA+dB0OB2w2G5qammC32+UZUrPZDIPBALfbDYvFgo6ODng8HmRlZWHJkiW9Xvd+vx8VFRWorq7G1KlTMW3atHH94T+ehGt8DWxmvmzZsnG9g3MhXC4Xqqurcfr0aZw6dQr//Oc/cfTo0V73i4+Px9q1a/GlL30J2dnZcDgciI2NRWJiIsxmc6/XttVqxb59+2Ryae7cuZgzZ07QAVPPGIqVbaxWKywWC1pbW6FWq5GUlISMjAykpqZOqM+OgSiKApvNhpqaGrmU/cGDB/H8889j9+7dQfedP38+Hn/88UFPiemL3++XlQcjlYQSIi0ZJapdRQVOa2srvF4vYmNjUVBQMGCD6YksHLGsrKxETU0NFixYgNOnT+NrX/uavC06Ohrf+MY3cPfddw/q/+zz+dDc3Cz7GqWlpSEpKUm+rhVFQVlZGXJzc6HX63Hs2DFMmTIl5D6X1+tFQ0ODXGU5IyNDJgr64/f7ZVW72WzG+++/j5dffrnXKqlXXnklnnjiiV4JZdGQvLGxEW1tbYiLi5MN21tbWweVgAo0mjH0+Xx47rnn8Mwzz8gKc4PBgMceewx33HGH7Mkl+jqJy4kTJ+BwOAb8/aJB99SpU5GTk4P8/HzMmzcP06ZNg9lshl6vl9UwdrtdNl0XUykPHTqEQ4cOoaSkBOfOnevzefR6PQoKCjB//nwsXLhQ9rBVq9V9XkSvp66uLtjtdjidThgMBpl4EpV3/RGxPn/+POrr6+XnpOhhJJJPer1eLvzk8XigKAoaGhqg1+vlKn0itoqiwOPxoKWlBV1dXfD5fIiPj5erU4rPGI1GM+jXg1qthk6ng06nkz1/Q120Wu2o77uG6i0WWP000Oq9fVEUJez73UxGUb8iJRm1YcMG/OMf/wAAvPnmm1i2bFnI+/l8Phw4cAAOhwPFxcVDKl/1er344IMP8IUvfEFW3LS1taG0tBQqlQpz5sxBW1sbysvLkZiYiKSkJEybNm3CneUOFUeHwyF3UFUqlUxKxcTEICMjQ57xT0tLG7DKRVEUWZW2ePHiIW2b1+uVH8Z2ux1Wq1V++JeUlPR7hshgMGDJkiXyDFFBQQH0ev2IVuXYbDbU1taioKBg0L+3vb09qLIpsNKppqamz+qm/hiNRtnAubCwEMXFxVi+fPmQXosulwstLS1yR1F8eJnNZuh0OjgcDjQ2NsJut8Pv98NkMiE9PR3Z2dkhd6b9fj+OHTuG+vp6zJkzB9nZ2UxEDUE4x9e2tjYcPHgQ+fn5IXt9RZqTJ0/ijTfewJtvvtnrQArobva7bt06fOELX5A99eLi4mRiSryvHA4HDhw4IGOUlpYWVKE5UAzdbjcaGxtRX1+P5uZmKIqChIQEpKenIyMjY8z7PgyH0+nEuXPn4HQ6kZ2djZaWFjz77LN4++23g6ampKen4/7778ctt9wyrLFZJKEqKyvh8/lGNAklTPRklEiGis/2lpYWuN3uoMb7ycnJE/p1N1jhiKXdbsfnn3+OrKwsTJ8+Hb/97W/xm9/8JmgVUaPRiNtvvx333HPPoE5qifYKDQ0NcLlcQSvcnT9/Hn6/H3l5eSEf63a70dDQgKamJvn5bTKZhvS5XFtbi+eeew6vv/56r6TLkiVL8L3vfQ9f/OIXg673+Xyw2WywWq3wer1ITEyEyWRCZ2fnkBNQgcIRw6NHj+K+++7D6dOn5XUFBQXo6OjoNwkUKDY2FnPmzMHcuXPlZfbs2fJ4RLwvRb+pjo4O6HQ62Qg9Li5OJohCsVgs2L17N3bv3o3PPvus3+2KjY3F4sWLsXTpUixevBhTp04F0D1+9rwYDIZ+ezwJPp8PLpcLTqcz6OJyueD3+2XyS0wzE8mt1NRUZGdny2nrIp7nzp2T1YA6nU6uViteF4qioLW1FZWVlWhpaUF+fj6SkpJQWloKj8eDefPmITU1NSiJJS6BP4tt93g88Hq98Hg8IS8+nw8AZFIqKioqZOJKXDfU/e7A6qeRWHXR7Xajs7NTXux2OwoLC8O6ojuTUdSvSEhG+f1+LFiwAM3NzYiJiUF5eXnIN6w449/a2orly5cPeQpXe3s7duzYIZuntra24siRI4iKikJBQQGamppw4sQJmM1mpKamTtjljvuLo9vthtVqRWNjo1zhpK2tDSaTCUlJSTCZTMjNzR2w/0FDQwMOHz6MSy+9dFjLi/r9fnR1dcly4draWhw9ehTHjx9HSUmJbG7YH41GE7Tsu1hpK/B78XOo+/T82traioSEBMTHx/f6HeKALHBKXWBvlKFIT09HXl4e8vLykJubG/Q1OTlZlh4P5T0pzjI1NjaipaVFXi8qQTo6OtDc3Cx3OuPj45GZmSmXuO+L1+tFaWkpmpqaMG/evLCtOhhJwj2+njhxAnV1dVi2bFlENSruj8/nw2effYatW7fivffeC9m/4+KLL8bXv/51FBcXw+12w+VyyQMns9kMlUolz4h7PB7Z3DwnJ2dIMfT7/WhsbERdXR2amprg8XjkakVZWVlh3ZEcDr/fj/r6elitViQnJyMuLg6vvvoqXn755aDGvEajETfeeCMefPDBYTXP9/v9OHfuHE6fPi0roaZMmTIqFWYTMRnldDrlqo8tLS1wOp0wGo1ISEiQq5RNxhVNwxFLRVFw9OhRdHR0oLi4GFqtViZzXnvttaCklMFgwG233YZ77rlnUNOlReVJQ0MDOjo6kJSUhJiYGNTW1qKoqCgocRHYf8psNiM9PX3IY/yxY8fwwgsv4O233w7qRalSqXDZZZfhvvvuw9KlS4MeI05g2Ww2WekiFnu40ARUoHC9Hx0OB5588km5YFJ/8vLygpJOc+fOlZ8Fg9WzQsbhcEClUsmqpYEuFosFBw8exP79+7Fv376gVQJ7SkhIwMUXX4yLL74YK1as6LN6XVQlhUo4ud1uaDQaGAwGGAwG6PX6oO97xtbhcKC+vh4WiwVtbW3Q6XRITk5GdnY2pk+fjubmZlmNb7PZ0NDQAK/Xi9TUVKSkpMixXfQDPHnyJJKTk1FQUIBTp06hvr4eeXl5mDlz5oicjPD7/fB6vXC73SGTVoHXKYoiq776qrACIGPrcrlgMplk8qnnyooD8fl86Orqkomnjo4O2U5D/A8VRcHChQuZjBoAk1FhFAnJqLKyMnzlK18B0N3E/C9/+Uuv+yiKgiNHjqCxsRHLli0bMFkSSn19PUpLS/HlL38ZLS0tOHz4MGJiYjBv3jzU19fj5MmTMJvNSEtLw9SpUydkIgoYXBx9Ph+amppgsVjgcDjk9C3RXyUjIwPZ2dl9nlH1+/3YsWMH0tLSRmR5bkGcURKVU2fPnpVLHZeUlISsehivjEYj0tLSkJWVhblz58oVwMQqYIM5YBhMLL1er2wY2tzcDL/fD5VKhdjYWKjVarlKntjBSE5OlissDmYb3G43Dh8+DLvdjoULFw6qLwb1Fu7x1eVyYe/evTCbzZg9e/akO0C12+3Ytm0btm7dij179vS63Wg04qtf/SquuuoqzJo1C+3t7TJhlJCQgK6uLhw6dAhdXV2yufmiRYuQk5Mz5BiKnXAxJaarq0t+1mRlZY3bZKFoNKvVapGdnY29e/fi6aefxrFjx+R9VCoVLr30Uvz0pz/FjBkzLvi5RBJK9NXLz8/H1KlTR3Wa40RIRolqO3GCoaurC3q9Pij5NNQDnkgUrlg2NjairKwMc+fODUoy1dfX4/nnn8eWLVuCkuAGgwG33HIL7rnnHmRkZAzqObq6utDQ0ICWlha0traioKAAaWlpcDgcsFgsaGlpkRWXQ5kdoCgKdu7cieeffx47duwIuk2v1+P666/H+vXrodFokJiYKKufxf6F3W5HdHQ0tFotHA7HiCSgAnk8HqSkpFzwCb6h+uSTT/CjH/0IFosFRqMRs2fPlgmngoICzJ49e1RWpfV6vXKaXqiLSJb4/f5et3m9Xpw/fx5Hjx5FaWkpSktL0dbW1udzJScnY+nSpbjooouwaNEiJCUlycST3++XiabAhJPBYLjgaWwiUVpXV4e2tjZERUXB7XbLxJuoNBI9Zr1er5zeaTKZ5Enf8vJyAN29vTweD06cOIGYmBjMnz8/bJ+XiqLISquBElai4k1UvQ329zudTjl9UiQs/X6/TDwB3av4mkwmREdHy2mR4Z7+z2QU9SsSklEvvPACnnjiCQDAo48+invuuSfodkVRUF5ejpqaGixduvSCDobFamkNDQ0oLCzE4cOHkZiYiIKCApw7dw6VlZWIiYlBVlYW8vPzJ2wiChhaHMWSrg0NDbDZbLDZbOjs7ERMTAySkpIwY8YMpKSkhPxQqqysRGVlJVavXj1qA6NYDlY0Wzx9+jQOHDiA8vJy2Gy2oA+Fnmc4en5YjDSVSoXU1FTk5OQgNzdXnsHPy8tDZmamnPM+nNdTX7EUK9Y0NTXBarXC5/NBpVLJFThaWlrQ0dEBr9cLvV6P9PR0ZGZmIi0tbUixcjgcOHToENxuNxYvXnxBSWDqNhbja21tLc6cOYOoqCiYzWYkJyf32cg7ktXU1OCNN97AG2+8gaqqql63p6en45prrsHatWuRlJQkp5pER0fj3LlzaGlpkT3W1qxZA5/PN6wYtre3o7a2FlarFR0dHTCZTEhNTUVWVtager2Mtp5LcHd2duKJJ57Ahx9+GNTjb/r06Xj44Yfxla98ZUjbLBLoYiUhcfZXNFMe7SSUMB6TUaJfiqhAsdvt0Ol0iI+PR3JyMlJTU8fdSkvjQbhi6fP5sHfvXnlg3DMODQ0NeP7557F58+agpJRer8dNN92EDRs2DPpAzO12o7S0FB0dHUhJSYHL5UJSUhLS09OHVBXh8Xjwzjvv4IUXXghKJAPd1dHf+MY3cOedd8pFG1wuF6qqqmRCxOPxQKfTyff+SCWgxMG4GAu6uroQFxcHu90Oo9GI6OhoREdHw2g0wmAwjNrCMlarFampqRNmv19RFJmoEomaPXv2YO/evTh48CA6Ojr6fGxWVhaWL1+OlStXYtWqVSPWHzUUkWiqqamRFVcejwdut1t+LxIxDodDznIQyar29nZ4vV75OrDb7fB6vbK/ml6vD5r5ICqYAi/jKaaiTYmoeGpra4PL5Qpq6h4dHS1X0xN/93jo+8lkFPUrEpJRN998Mz799FMAwPbt23udXa2oqMDp06exZMmSIQ+cXV1dcvlVt9uN1NRUNDU1IT09HXPnzkVlZSWqq6uh1+uRm5sbESvNXEgcxcDf0NCA+vp62Gw2OBwOGI1G5ObmYtasWb2mcXk8HnzyySeYPXs2cnNzR+NPCcnj8cBut8teTH3FK/B6cUZJfBD2TFYFfi9Wf2ltbUViYmLQbWI1wqlTpyI7OzvkDqHb7capU6cQExMz7NdTYCx9Ph/a29tlRZsorTcajVAURe7M+f1+2QssKysraG7+UIj+GGq1GosWLRq31RsTxViMr36/H+fPn0dzczNcLhcURYFarUZycrKccjWedtZGm6IoOHToELZu3Yq333475Bnl+fPn49prr8Xll18u++s1NDTIs/V6vR7R0dGyD1RSUtKw/oddXV2ora2VC03o9Xq55Ppwf/dg+Xw+mfAXiSHRc+jZZ5/FK6+8IpdGB7qngnz729/GPffc0+9BsZiG3draitbWVnn21+l0Qq1WyzO+cXFxsiItnInS8ZCMCuy/Y7PZ0N7eDq1WC7PZjKSkJKSlpSE2NnbC75eMtnDG8uzZs6iqqup3xV+r1YoXXngBr776alAvpqioKNx444249957kZWVNeBztba2orq6Wiaqh9L/y263Y8uWLfjDH/7Q61ghLy8Pd911F9avX4/o6GgoiiKnLonpy42NjXJFZvH+HIkEVGdnpxwT3G637KUkViW12Wzwer2yaqSrqwuKogQlqESSajJ9fg2Gz+fDsWPH8Nlnn2H37t3Yu3cvurq6+rz/3LlzsXLlSqxYsWLEp/QP5T3pcrlgtVphtVqh1WqRkJAAg8GAqqoqtLS0QKPRIDo6Gp2dnbDZbDJpI/phhWrqLZqZi4RVVFQUDAYDoqKiZKN1cRnppuZ+vx8Oh0P2eGppaUFnZ2fQdopm5iLxFBMT0yvxFNi/y+FwyKmUM2fOnNCflUxGRZiJnoxyOp0oKCiA0+lEamoqDh06FDQYiCVVFyxYMOgXr1jB7Ny5c7DZbLIfkqIoqKmpQV5eHmbMmIGKigrU1dVBo9HIipZI2OEbbhw7OzthsVhQXV0Nm80Gp9OJmJgYzJo1q9cAWFpaitbWVqxYsSIi/neC3+9HWVkZcnJykJCQMOjHuVwuVFRUIDY2Frm5ucP6n4gzX3FxcXIpYZfLBaD7gNjn86Gjo0NeZzabkZWVhczMzGEfvLS2tuLzzz9HdHQ0Fi1aNGH624xnY3ng6/f70dHRgZaWFjQ1NcHpdEJRFBgMBqSlpSE5OXnSTfVxuVz4+OOPsXXrVnzyySdBfVOA7tU8v/jFL+Laa69FcXExzp8/j5MnT0KtVssKAZVKJZdnz8jIGHLFQqhtqqurk1NxdDqdXJkvOjoaer0eOp1ONoe9UKKHSWDyKSoqCrGxsfLy4Ycf4sknnwxqnqvT6bB27Vr85Cc/CVqRFug+SSAqHNra2mC32+UKSQaDATExMYiNjZVVFdHR0WN+IDlWCeKWlpag5BMAmXxKSUlBQkLCpHovjoRwxtLhcGDPnj2yGro/TU1NePHFF/HHP/4xKCmg0+mwfv163HfffcjJyenz8X6/H0ePHsXMmTMH3Z/TYrHg5ZdfxubNm+XrS5g3bx7uuOMOXHrppUHJJ7fbDb/fLxs6i4uYfjTcxQjEasptbW3w+/0ysSaSU2L6aWJiIiwWi/x8MhqNMBqNslrG7XbD4XAEjS09k1QTbdGh0eTxeHDkyBHs2rULu3btwueffx7U2yyQTqfDokWLsGLFCqxcuRILFiwYVlXOhbwnxSqTVqsVfr8fKSkpsqesTqeDoigwmUyorKyERqPB/PnzERsbC4/HA5fLJU9Si59FRVZgZZZoYN5Tz+SVqLwSX3smrkTySrwuAxNPYmVqUfVkMBgQHx+P2NhY+ToNTCyH6t/ldDqD+ndptVqcPHkSBw4cQFJSEu67774Ljs1QMRlF/ZroyaidO3fixhtvBAB87WtfwwsvvCBvq62txZEjR1BYWDioypuOjg6cPXsW9fX18Pv9iI+Ph1arlUtqiubcmZmZqKiogNVqhaIomDZt2rATB+PJSMXR5XKhoaEBFRUVaGpqgtvtRmxsLBYuXCj/X3a7HTt37sSyZcsirpeQmLo4e/bsQb02nE4nKioqYDabQza4FH0ARJWV+KAMrNYSX8UHpjgbKD6IRZmvx+OBRqNBUlKS7P80lN4RfREl66WlpUhMTMT8+fMn3ZSu0TIeqjCA7hiLPmJWq1VOJYmLi0NGRgYSExMnxepbgZqamvCPf/wDb7zxBkpLS3vdHh8fj69//etYu3YtEhISUF1djfb2dtnHA+iOr0ajQXx8PHJycpCTkzOsaa1ipaz6+nq0trbKZJl4nsCFF/R6fdBFTGsRqx4FLhTR0dEhl+UWB5pidaWqqips374d77//Pvbu3Ru0PYsXL8ajjz6KJUuWyFWzxBS7zs5OOJ1OaDQaWe1kNpthNpvl5/B4NJz3pJi+JMZsMZb31V9EXNxuNxRFkas5pqamIiEhgQfQwxTu8VX06rn44osHlaix2Wx48cUX8corr6Czs1Ner9Vqcf311+O+++7rc9W8yspK6PX6fiupFEXBsWPH8OKLL/ZqSg4AS5cuxbp167BgwYJeB9mBl5F6HXq9XrS1taG1tVVW+xkMBmg0Gng8HnR2dgaNQbGxsdDr9cjIyEBdXZ2sBAm8uFwuaLXaoPFN9PURVVQej0dWrwZWUI2HqU7jgcPhwP79+7Fr1y7s3LkTZWVlfb5fYmJiUFxcjBUrVmDFihWYM2fOkI6ThvOeFCvsWa1WmXgEuqtyrVYrNBqNnOYtqrwDp5D3tTqeVquVKxmKZuBer1cmq0QCKHAqYeDvFY8DIHtgqVQquR8lEk9ms1l+tgZOtRPP0fPi9Xqh0+lkclX08WpsbMSnn36K7du3Y+/evXLsyMrKwr59+8J23MpkFPVroiejfvGLX+DZZ58FADzzzDO46aabAHSXOB88eBCzZs3qd2lyn8+H2tpanDt3Dm1tbTJ7LHYS4+LikJaWhszMTERHR8spVC0tLfB4PJg5c2bELVE/0nH0er2wWCw4fvy4XIUvKSkJixYtQkZGBvbt2weNRoMlS5aMwNaPH36/H6WlpcjPz4fZbAbw74aGYtqf+MCy2+2orq6WFQB9LScryokByOoG8cEYWO0gzqaI+7W0tMgldcXyuWL55+FQFEVOo2lsbJRl82lpaSgsLOQB0ggaL8moQCIxJaaiOZ1OqFQqpKSkICMjQy7RPJmcOHECf//73/Hmm2+GXDBhxowZWLp0KYqKipCXlweTyYTm5mb5mSKSyCqVCkajEampqcjNzUVOTs4FJ2UCE9kiiS3K9QPP/AZONfZ6vUFLYGs0GhiNRphMJpl8slgsOHToEEpLS3H8+PGQ+xOZmZm48847sXTpUlnB4Pf7YTQaERMTg7i4OJl4mki9jMRYHh8fL3ua9Dwh0DORJOIrGhCLOItVr0JN+wj8qtPpYDQakZiYyLF1hIV7fG1ubsbhw4exYMEC2WtpMGw2G37/+9/j5ZdfDpr6qtFocN111+G+++7rVW1ls9lQX1+P6dOny/d74HS6AwcOYOvWrTh48GDQ43Q6HdasWYNvfetbmDt3rkxOjxa32y2n33V0dMjXPQDZG0dUXsbFxUGv1weNFwPF0Ofz9UpQORwO+P1+eRAvni+wisrlckGn0wUlqESCYKKMV6PFZrNhz5492LlzJ3bt2hWyp6KQnJyMSy65RE7r66+iDxjae1KMx4FVTOJ7u92O5uZmtLa2QqVSISsrS/Yb02g0sNlsiI+Px4wZM+RCLeL5ep4EDryItgWBySpRASWu02g0spl4z3Yf4vNXFD+IxJNWqw167YnEqmiV0FezeJHA3bt3L/bs2YN9+/ahpqamz//Z7t27+0xgjzQmo6hfEz0Z9dWvfhVHjx4FABw+fBipqamw2WzYt28fpkyZgtmzZ4d8XGtrK86ePSt754jmiqLJbEZGhqwWEas2dHZ2ora2Vk5LmDNnDrKysiLuw2i04iiW+D527JgsoRUrD54+fRqLFy9GdHS0HFwvlDh4EvEMvPS8LvDnwX4vmnIGrlQS+L048PD5fPKMv8FgkGdQApNK4qvoJyX+bvGaEh92QmCjwlDE7SI5pVarERsbi/j4eGRmZo7IQYzL5UJLS4tskCt2Ek0mE5KTk5GYmDgpkxCjbTwmowKJxFRjYyMsFgucTqecgpaZmQmTyRRxY2V/fD4fdu3aha1bt+L9998PakYcyGg0oqioCEVFRZg2bZpcMUu8t0TSQqPRyGXYc3NzkZCQ0Otg7EKJHXNR+RS4eIGY2tDR0YHKykocPXoUJ06cwJkzZ9DU1NTn74yOjsYVV1yBL3/5y3JHW/R2MpvN46LaSYzrgQcGPRvk9pVYEp8Der0eXq9XnjHv2QC358GJqEgTVSVi2iSNrXCPr36/H3v27IFWq0VqamrQSleDeT20trbiD3/4A1566aWgqXQajQbr1q3D9773PXki1ufz4ejRo1AURVYwqdVq7Nq1C6+99lqvpuRxcXG4/fbb8c1vfjNoxb+Rpijdqx+LCii73S4P3kU1SeDU3+jo6H7HuwvtdyoO/AMvIlEhpkOJ/S7Rg8fhcECr1crpz6G2q2eirL/bB3OfwO/FyUexnxd4QlJcF+o+o622tlZO6du5cycaGxv7vG9eXp6smlqxYkWv2RGB8RT72KGSTeJ7n88nx9zARJDYJxYLazQ1NSEuLk7OGhAnadRqNdLT0+X7Q7yGek6tE2O92JfueUzRM3klFgjqWW0lflar1UFVTmJbRLJJr9fL5xJ/R2AlVlVVFY4cOYJDhw6hrKysz2mUiYmJWL16NVatWjXqzed7YjJqFLjdbmzduhX79++XL6jrrrtuUJUdnZ2d2LJlC44dOwaNRgOTyYRbbrkFs2bNCsOW9zaRk1E2mw1FRUVyqtyOHTvQ3t6OPXv2IDMzE4WFhUGDr8fjwblz53D+/Hm0tLQEDdSir0ZGRgZUKhW6urrkWdzOzk55Jlf0TSkoKEB2dvao/41jYbTjqCgK6uvrcfToUTQ2NsqzUuKgBwhdIhv4wdIzydTzEupvEmehA6uGAhNCAIKSTIFfRSIpVIIr8DkDvxfPKVaSETuYgRVNQPd4YjAYZK+CUAc0PUuE+zrwCdwJEZfMzMxhxdLr9QYlnzo7O6FSda+8l5ycjKSkpCE3RqWhG+/JqEB+vx9tbW2wWCywWCxwu90wmUzIzMxERkaGPPs4WXR0dOC9997D1q1bsW/fvqCy/VCSk5Mxf/58zJo1C9nZ2YiPj5dnRsVjo6KiZJI5JSUFJpMpZAPTUMQBWGDyyefzyd8BdDcvrqiowIEDB1BWVianW/dFrVYjOzsbM2bMwOzZs/HFL34RBQUFYat2EgcUgQcpA1UqBVYoiaXDe467PZNIgVOS9Ho98vLy0NjYOO7fk9S/sRhfa2pqYLFY5MlQr9cLtVotK29iYmIQExMDg8HQ53uora0NL7/8Mn7/+98HLaigVqtx9dVX4/vf/z6mT58On88HtVoNh8OBv/71r/j9738f1M8N6J66853vfAc33XRTrwVnRoqiKLDb7WhtbZX7E2JfSBwTicqnmJiYISVqRzKGooF0z4tI0gcmCAKfa6CThcPdrp77moEnNkN93/P5QyWwBvt9z23o+X3P7VQUBVVVVdi/fz8OHDiAQ4cO9dsMfcaMGViyZAmWLl2K+fPny0pcq9UKl8sFr9cr95ED93HF3yaShf0lgHQ6Hdrb21FTUyN7hRkMBrlKndg+kYiMjo6WFUtRUVHyfdqz4lUcHwDotd8emAgMjJ+Ik+i1JmY5qFQqmXgTF9FfUq/Xw+l0oqSkBHv37sXu3bvR0NAQ8v8pZpysWrUKX/jCF1BYWDhmJz6YjBoFv/71r3H+/Hn89Kc/RVxcHA4ePIhnnnkGP/7xj7F48eI+H+f3+/HYY49Bq9XikUcegV6vxwcffIDNmzfjiSeewNSpU8P4V3SbyMmod955B3fffTcA4LbbbsNPfvITfPbZZ0hMTMSiRYvk4NTc3IyqqirU1NTA6/XKObmpqalITU2VzevEYCSSB+LMrRjcRGKqsLBwUKuYTFThiqOolDp8+DCam5sBBJ9hEAb7gdoz0RQo8ANLfB3ouXr+TnHpKxnU86BFJNDE8qvTpk0Luq/D4cDp06eRkZExamcfLySWfr9fTrtrbm5GR0cHFKW76aNYIctsNjP5FGYTKRkVSLyexIpvXq8XCQkJyMrKQnp6+riokAkXlUqFuLg4fPTRRzh06BBKSkpQUlKC8+fPD/jY/Px8zJ07F3l5eUhKSpJVu4qiyDP08fHxQYkpcUCr0Wh6JZ88Hg9iYmIQFRUFr9eLrq4unDhxAp9//rmsfBIrAIai0WgwY8YMLF68GCtWrMDFF198wStvDpbP55O9q8TKemK1LHE2WK1W95lQCpVUEjv4F7IS0kR9T1JvYxFLv9+P5uZmmegQr2PxOhQHqjqdLqg6SCSdA1+v7e3teOWVV7Bp06ag961KpcJVV12FO++8E5988gn+9Kc/9XpfFxYW4p577sGaNWtGpTeSqJq12WxobGyUlR8qlUpO0RV/33Aqt8NxItXj8fRKUImxp7/91tF6TfXc7w21DyxOxAo9T4YEbpu4LTBpEvh1oMq0/m7z+XyoqKjAkSNHcPToURw/frxXbzJBq9Vi9uzZyMvLk4nUnlOae1YZBe57B14fmMAS3zscDjQ3NyMuLk4e44nbRQWvTqcLas4vehqKqeUJCQlyFUfxvwt1wqOv6wIXMlEUJahiVnwuicra8vJy2fvp8OHDfZ7Qys7OlsmnSy65ZFh9J0cSk1EjrLy8HI8//jjuv/9+XHzxxfL6n//857BYLPjtb3/b5xty+/bteO655/Dzn/8cM2bMkNfff//9SEhIwMaNG0d9+3uayMmoBx54AFu2bAEAvPDCC/Is0tKlS+HxeFBVVYUzZ86gvb1dJqBSUlIQHx8Pg8EAh8MhD7QByOqXwNUS1Gq1bOgaExOD1NTUIc3vn4jCHUdRKSV6ifQ8cyA+KMQZ7sAGgeKstviw7XkAElgxBAR/CKtUql4fXH19iAVeep4lGojX60VZWRmmT58uzzZ2dHTgzJkzyMzM7LWq1EgaTCzFFByr1Srn1YsqCdEgNz4+nsmnMRYJB77i4EskphRFQUpKCrKzs5GSkhLx05X6imFjY6NMTIlLf4kgoHtnfebMmcjPz5cVimL6m8FgQGxsLFJSUuR46PF45CIFdrsdNpsNp06dwsmTJ1FZWYmqqip0dHT0+XxRUVFYuHAhli9fjuXLl2Px4sUjsuhBT2LqTmBz866uLjl1RlEU+ZksDszFFECxala4poNGwnuSuo2HWIpkR2Dz7a6uLtjtdtm4HoCsJg/stSZ6zdjtdrzyyit48cUX0dLS0u/zrV69GnffffewVzMOnJ4U2KrA7XajubkZzc3NsupLTOcXTcdHMvk1HmI4kMEmrAZzW6iq/IF+DvV9z/v3d7+RJCp8Dhw4gP379+PkyZPjKm6i+li8z0TVXmxsrOydaDabkZaWhvT0dLngxmD3lwPbfvTsx2axWGTyaceOHX3uDxgMBixfvhyrV6/G6tWrMW3atHHZDmEiJqPG9WnS3bt3A+g+kxBo3rx5OHLkCM6cOYPp06eHfOyePXtgNBp73V5YWIiPPvoIbW1tstExDSw+Ph6pqaloaWmRvS0yMjLwr3/9C01NTfB6vYiKipK9NXw+n1yOWiQ5xFlUsXqG6G1hMplgNBplVppGj0qluuCBRczfdzqdcllUcaZczL8WlQM9D17EgUvPMycjfUCs1WqRkpKC+vp6zJgxA+3t7Thz5ow8AA83ReluOt7Q0CCTT263GzExMUhMTERubi4SExOHtcQ8UShqtRopKSlISUmB3+9HQ0MDampqcOjQIXnWMfD92HNaqlh9pq8prBM1mZWSkoLLL78cl19+OYDu9+jZs2dRUlKCw4cPo6SkBGVlZXC5XPIxXq8X5eXlKC8vl9fFxMRgypQpSE9Pl726EhISYDQa4XK5cP78eVRVVeHs2bOorq4OWpWrJ6PRiCVLlqC4uBjFxcVYsGDBiE6vdLlcQQknkXRyOp2yGkSM2QkJCXJ1QfEaIYo0KpVKVuwFVjQoihLUyLizsxNtbW2wWq2oq6uTJ+Oio6MRFxeHa6+9FjfccAO2bt2KF198UVaeA937I1dffTX+4z/+A3Pnzg16/sATgIGNlkOt1hs47VVUeYSqnhGzEBITE2E2myf9fsVAfaQmm6lTp+Kaa64BMLRm6OHgdrthtVphtVoHvG9UVFRQc/2EhAS5kEtOTg6mTp0qTz6LkzhqtVomrcRCAtu3b8f27dtx/PjxPp9r5syZMvl00UUXjcpJIRrnyajq6moYjcZepW9imk11dXWfyaizZ88iNTW11wCUnp4ORVFQXV2NoqKi0dnwCPTII4/gG9/4Bt5//33YbDZ4PB5UVFTIihcxp7uzsxNut1t+UItkk5jKYDAYJuxBzGQXOK+7Z/NDv98vd+DElI7Ozk40NDSgurpaVlUB/y5jFlP+QlVEiQNiMf0u1MFwz6a14r2empqKsrIy1NfXw2KxIDc3F0lJSWH7PzmdTlgsFjQ1NaGlpQVOp1Me5M2ZMwcpKSmTfieRwkutVss+fT6fD3V1dejs7AxaCMDpdMqfe14C+y0E/s6e5fiB3/esdhQJrMBEdOAU4MA+dT17sfXsWzGSnyEqlQpTpkzBlClTsG7dOgDdO8YnTpyQyamSkhJUVFQEnWXs7OxEWVkZysrK5HXx8fFISkqS1ad9MZlMuOiii7Bs2TIUFxejqKho2NWQXq8X7e3t8iSQOFHgcDjkog0i4WQymZCeni536FmJSdRNVPYbDAbEx8fL6/1+v0xQ2e12tLW1wWazoaamBn6/HzNnzsR///d/Y8eOHdi3bx8KCwuxbt06xMfHw+124+DBg72mEAXuFwEIGu96TokS0wVFAi2wojxwf4lJFxqMxMRErFmzBmvWrAEANDQ0QKfTwWKxBO0XhFo8aKjXB16cTicaGxtlb7ampiZYrVb5daAKQwBBVYADESuiiooqp9OJPXv2wOFwhLx/XFwcVq5cKZuPR3KbmPFkXCej2tvbER0d3et6kZkMXNUi1GND9YYZzGPFWYhQVCrVBWdGR/JDInDOcri89957cpqRVquVGWlRLimy1Ew4Dd5YxHE0DJSoCjygFTthfc3tDlyOWyx7HurDMbDBuZjfLnbkXC4XqqqqEBsb2+90mJGm1Wphs9lgNBqRkJCAWbNmISUlhWdTJphIeV+GotVqkZube0GP7et9G6pRtXi/iim+gYsS9LWCZqifQ5WZ9+wxF6rnnFqtRkxMTJ87nYMRmKTq6upCVVUVTp8+jTNnzuDMmTOw2WxB9xdLpfcUExODWbNmYc6cOZgzZw7y8/Nlv5auri7s3bv3grdRVHK43W6o1WoYjUY51T0pKanPpdknmkh+T042EzGWoppULCYiiN5qbW1taGtrwxVXXIGVK1dCrVbD5/Ohvb1dJpaio6N7re4oTqaJhFK4VmIbrokYQ+pbRkYG0tPTkZycPOrT95xOJ06dOiVf84HEIj4tLS2w2Wy9vg/8Oph9e4fDgdraWtTW1oa8XaVSISsrCzNnzpSLmGg0Gvh8Pvzf//3fiPy9V1xxxai2COlpIr43x3Uyaqy89dZbeOONN0LeNmXKFDz11FMX9HvFMtIjKT09fcR/Z1+ysrKQkpKCSy65hMvJj7BwxjFSiL5jPcvaxRKsXV1dYU8CaTQaZGZmIjY2NqzPS6OD78ux1XN1zZ7VWqG+9lXJNRKKi4uDfm5oaEBZWRlKS0tRWlqKsrIy2O12JCQkYPHixVi6dCmWLFmCmTNnjurnpclkktPeI/1zme/JyMFYTnyMYWQJVzyzsrIGVQXVH5fLhaamJjQ2NgZVV4mfGxsb5SWwACU+Ph4LFizAggULMH/+/FFvPJ6fnz8mbYEm0ntzXCejYmNjQ658I8509vcCiouLC3lGdDCPXbduHdauXRvytuFkGuvr6y/4saG2Iz09HRaLJWxN6K688koA3SWSfS1vSUMzFnGMZGq1OmSJfTgExtJut4f1uWlk8X05sQT2uBLCEcOEhATMnj0b1113HYDu5JnNZkNSUlLYz0qKXlCRiu/JyMFYTnyMYWSZiPEUvYsHU+jhdDrR1NQEj8eD/Pz8sH4+iynz4TLSsRyNQpqexnUyKj8/H6dOnUJHR0dQpYFIhOTl5fX72BMnTvRaZrOhoQEqlarfx4qS2pE2WsufTpSBg/rGOEYOxjJyMJYTXzhjqFKpZH86vm5GB9+TkYOxnPgYw8gSqfHU6/VB/Z8i8W/saSLFclzXcy9fvhwAUFpaGnR9WVkZ0tLSMG3aNADdZyPb2tp6PdbhcODMmTO9Hjt37lyupEdERERERERENAbGdTKqoKAAxcXF2Lp1q5zveejQIRw9ehR33HGHrHj6wx/+gLvuugsnT56Uj7300ksxY8YMbNmyRS7R/OGHH8JqteK2224L/x9DRERERERERETje5oeANx7773YunUrHnvsMbnM+49+9CMsWbJE3sdsNiMmJiaoWbFarcYjjzyCLVu24IEHHoBGo4HJZMJjjz2GqVOnjsWfQkREREREREQ06Y37ZFRUVBRuueUW3HLLLX3e54YbbsANN9zQ6/qYmBjcddddo7l5REREREREREQ0BON6mh4REREREREREUUWJqOIiIiIiIiIiChsmIwiIiIiIiIiIqKwYTKKiIiIiIiIiIjChskoIiIiIiIiIiIKGyajiIiIiIiIiIgobFSKoihjvRFERERERERERDQ5sDKKiIiIiIiIiIjChskoIiIiIiIiIiIKGyajiIiIiIiIiIgobJiMIiIiIiIiIiKisGEyioiIiIiIiIiIwobJKCIiIiIiIiIiChsmo4iIiIiIiIiIKGyYjCIiIiIiIiIiorBhMoqIiIiIiIiIiMKGySgiIiIiIiIiIgobJqOIiIiIiIiIiChsmIwiIiIiIiIiIqKwYTKKiIiIiIiIiIjChskoIiIiIiIiIiIKGyajJiiHw4EHH3wQDodjrDeFhoFxjByMZeRgLCc+xjCyMJ6Rg7Gc+BjDyMJ4Ro6JGEsmoyYoRVFQVVUFRVHGelNoGBjHyMFYRg7GcuJjDCML4xk5GMuJjzGMLIxn5JiIsWQyioiIiIiIiIiIwobJKCIiIiIiIiIiChsmo4iIiIiIiIiIKGyYjCIiIiIiIiIiorBhMoqIiIiIiIiIiMKGyagJSqfT4brrroNOpxvrTaFhYBwjB2MZORjLiY8xjCyMZ+RgLCc+xjCyMJ6RYyLGUqVMpLX/iIiIiIiIiIhoQmNlFBERERERERERhQ2TUUREREREREREFDZMRhERERERERERUdgwGUUDqqmpwUMPPYQNGzaM9aYQEYVFc3MznnzySaxfv37Un4tj7OgIZwxp9DGedCE4vhIRjbyRGlu1I7Q9k0pDQwM+/vhjHDp0CADg8/mQmpqKdevWYc6cOUH3rampwebNm9HQ0ABFUTBlyhTcfvvtSExMlPfp7OzEp59+is8++wxdXV0AAIPBgK985StYtWoVVCpV0O/s7OzEli1bcOzYMWg0GphMJtxyyy2YNWvWoLbf7/fjnXfewfbt26HRaAAAV155JS677LKg+ymKgm3btuG9996D3++X940UkyWO27dvx5YtWxAfH9/rd/z85z9HVFTUoJ5vvJss8QSAHTt2YNu2bXA6nXC73Zg2bRpuvfVWpKenD/4fNo6NdSx37tyJ11577YLfGxxjJ08MOb5GVjwBjq+BRjqW1dXV+Oijj3Ds2DGo1Wr4/X5kZ2fjuuuuQ15e3qC2n+Pr5InhZBhfJ0ssAY6tgUY6lufPn8e//vUvHD9+HADgcrkQHR2Nr371q1i5cuWgtn/MxlaFhuzJJ59UHnjgAaW5uVlRFEXxeDzKpk2blPXr1yv79++X92tsbFS++c1vKps3b1b8fr/i9XqV3/zmN8q9996rdHZ2yvu99dZbyu23365UVFTI6z799FPl+uuvV/70pz8FPbfP51MeeeQR5Sc/+YnidDoVRVGU999/X7n55puVM2fODGr7X331VeXb3/62YrFYFEVRlNOnTys333yz8sEHHwTdr6qqSnn66aeVtrY2ZePGjcp3v/vdIfyXxr/JEsdPPvlEef3114fwn5mYJks8//d//1dZv369cuDAAfl3/td//Zfy7W9/W7HZbIP9d41rYxnLzs5O5Sc/+YlisViUZ599Vrn++uuHvP0cYydPDDm+RlY8Ob6Obiy///3vK08++aRit9sVRVEUh8OhPPXUU8rNN98c9Pj+cHydPDGcDOPrZIklx9bRjeXrr7+u3HXXXUptba28btu2bcr111+v7NixY1DbP1ZjK6fpXaBrr71WZi+1Wi3uuOMOqNVqvPvuu/I+f/vb3+D3+7F+/XqoVCpoNBrcfvvtsFqteO+994J+3+rVqzF9+nT586WXXopZs2bhgw8+gNvtltfv2LEDFRUVuPXWW6HX6wEAV1xxBVJSUrB58+YBt9tisWDbtm1Ys2YN0tLSAADTpk3DqlWr8Nprr8HpdMr75uTk4Mc//jHi4uIu4D80MUyGOE4mkR5Pl8uFrVu3oqioCEuWLAn6O9va2vDmm29eyL9tXBqrWBoMBmzcuFHGYag4xv7bZIjhZBLp8eT4OvqxBICbb74ZMTExALpje9ttt8Hj8eCDDz4YcLs5vv7bZIjhZBHpseTYOvqxTE1NxXXXXYfMzEx53ZVXXono6Gjs27dvwO0ey7GVyagL8OCDD2Lp0qVB10VFRcFkMsFutwPoLnXbt28fZs2aFVRGmpiYiKysLOzevVted9VVV+GOO+7o9TyJiYnwer1wuVzyuj179sBoNAa9MAGgsLAQ5eXlaGtr63fb9+/fD7/fj3nz5gVdP2/ePDgcDhw+fFheF0klzaFMljhOFpMhnufPn4fL5UJOTk7Q/ZKSkhAbG4sDBw70+zwTxVjGUq1WQ62+8I9GjrHdJksMJ4vJEE+Or6Mfy2eeeQZTpkwJul9SUhIAyOfuD8fXbpMlhpPBZIglx9bRj+Xq1atx+eWXB93P6/XC4/EMKmk0lmMrk1EXQKvV9upnYLfb0d7ejsLCQgDd80YdDkfIM3lpaWmora2Fx+MB0PeOVl1dHfLy8hAbGyuvO3v2LFJTU3s9f3p6OhRFQXV1db/bfvbsWbkNPbcJwICPjySTKY5nzpzBL37xCzz44IP4f//v/+H5559HXV1dv88x0UymePr9/l6/Q61Ww2azweFw9PtcE8FYxnK4OMZ2m0wx5PgaWfHk+Dp6sdRqe7eqFe8V8dz94fjabTLFMNLH18kUS46t4fucbG9vx6ZNm5CYmIhrrrlmwG0fy7GVyagR8uGHHyI2Nhbr1q0D0P0iAACj0djrvkajEYqi9Jt1PnnyJM6dO4fbbrst6Pr29vY+f2fg8/ZF3B4dHR10vfh5oMdHukiMo06ng8/nw7e+9S089dRTePzxx9HW1oaHHnpIDj6RKtLimZOTA71ej6qqqqD72Ww2eZ9I+EAPJVyxHC6OsX2LxBhyfI2ceHJ8HZtY/vOf/0RGRkavs/qhcHztWyTGcLKOr5EWS46t4YulzWbD97//fXznO99BfX09HnjgASQnJw+4nWM5tjIZNQIqKyvxzjvv4P777w+54sNQ2e12PP/887jhhhtQVFQ0/A2kQYnUOF5yySV49NFHkZqaCgAwm8347ne/C7/fjy1btozZdo22SIynXq/Htddei+PHj+Pjjz+G3+9HV1cXXnrpJdmrSqfTjcm2jaZIjOVkE6kx5PgaOfHk+Br+WB46dAj79+/HD3/4Q/k/pqGL1BhOxvE1EmPJsTV8sUxMTMT//M//4NVXX8XChQvx0EMPYdeuXcN+7tHUuz6PhqSmpga/+tWvcO+99waVNIrSuVCZXofDAZVKBZPJFPK2X/7ylyguLg5ZVhcXF9fn7xS3A8ALL7yAM2fOyNtvuOEGLFmyRG5XV1dX0POLJSMjtdHjQCZbHOPi4pCeno6TJ0/2e7+JKpLjefXVVyMhIQEff/wx3nnnHcTGxuKyyy6DRqNBSUmJbEQZKcIdy8HiGDt4ky2GHF8nbjw5vnYLRyzLy8uxadMmPPzww8jNzQ26jePr4E22GEby+BrJseTY2i1cn5N6vR7XXHMNjh07hk2bNmHx4sUwGo3jcmxlMmoYzp49i1/96le45557emUo09PTYTQa0dDQ0OtxVqsVWVlZvbLAdrsd//mf/4klS5b0+ULLz8/HiRMnoChK0LzUhoYGqFQq5OXlAQDuvvvuPh//2WefwWq1Br3YrFYrAMjHTyaRHsf29naYTKZe847VajUURQn5+yeySI8nAKxatQqrVq0Kuu6jjz7CzJkzh9Xod7wZi1gOFsfYwYn0GHJ8/bdIiCfA8RUY/VgePXoUL774Ih566CHk5+f3up3j6+BEegwn0/ga6bEEOLYCoxdLl8uFqKioXj2r8vPzUVpaitraWkyfPn1cjq2RE/kwq6iowNNPP41777036IX20EMPAegeKC+66CKcPHlSNiIDgJaWFtTU1GD58uVBv6+9vR0/+9nPcMkllwS90DZt2oTKykr58/Lly+FwOIKymgBQVlaGuXPnwmw297vdy5Ytg1qtRmlpadD1paWlMBqNWLBgweD+ARFiMsTx4YcfRkVFRdD9urq6UF9fj2nTpvX7PBPNZIhnZWUlGhsbg+5ns9lQVVWFL33pS/0+z0QyVrEcLo6x/zYZYsjxNbLiyfF19GN58OBBWYEhDnxbWlrw1FNPDbjdHF//bTLEcLKMr5MhlhxbRzeWP/jBD3q9VwDI//lAlU1jObYyGXUBysvL8eSTT2LJkiVobGzEjh075CXwhbF+/Xqo1Wq8/vrrUBQFPp8PmzdvRmpqKtasWSPvZ7PZsHHjRsTGxiI2Njbo9x0/fjyolO/SSy/FjBkzsGXLFrmk44cffgir1TqoxnTp6elYs2YN3n33XZntrKysxKeffoqbbropZEO1SDWZ4vjGG2+gs7MTAODxePDyyy/D6/XihhtuuPB/4DgzWeL54Ycf4qWXXpIfYna7Hc899xyWL1+O4uLi4f0Tx4mxjOVwcYztNpliyPE1cuLJ8XV0Y7l79278+te/xqWXXorKykp5v927d+PcuXMDbjvH126TKYaRPr5OllhybB39z8nXX389qNH47t27sW/fPixbtkz2XevLWI6tKiXS6hzD4MEHH+y1IkCgv/3tb/L7mpoavPrqq7BarVAUBfn5+bj99tuRlJQk7/OnP/0J27Zt6/P3bdy4EQUFBfLnzs5ObNmyBceOHYNGo4HJZMLNN9+M2bNnD2r7/X4/3n77bXz66afQaDRQFAVr1qzBZZdd1uu+Tz31FJqammCxWOD1epGdnQ2NRoNf/vKXg3qu8WyyxLGkpASffvopqquroVarYbfbkZ+fj2uvvRYzZswY1HNNBJMlnrt27cJ7772HtrY2Wb6+cuVKXHHFFRFT5jzWsdy0aRMqKirQ1NSEzs5OWZ786KOPDljlBnCMBSZPDDm+douUeHJ8Hd1Y3nnnnTKx0FNKSgp+97vfDbj9HF8nTwwnw/g6WWLJsXV0Y1lSUoIdO3agqqoKGo0GDocD0dHRuOSSS7B27VpotQN3ZhqrsZXJKCIiIiIiIiIiCpvISEUSEREREREREdGEwGQUERERERERERGFDZNRREREREREREQUNkxGERERERERERFR2DAZRUREREREREREYcNkFBERERERERERhQ2TUUREREREREREFDZMRhERERERERERUdgwGUVERERERERERGHDZBQREREREREREYWNdqw3gIiIiCiSPP744ygvLx/y41atWoUNGzZg06ZNOHjwIB577DHk5OSMwhYSERERjS0mo4iIiIhG2PLly3HnnXcGXffKK69gz549IW975pln5Pc7d+6Ey+XC4cOHmYwiIiKiiMRkFBEREdEIi4qKQnx8fK/r+rpNq/33Ltk111yDkpISFBcXj/ZmEhEREY0JJqOIiIiIRlBRURHi4uIu+DHr1q3DunXrRmPTiIiIiMYFJqOIiIiIRtA111xzQY/Zvn071q9fL6+77rrr5M87duzAs88+G3RbcXEx/vznP+PEiRPQ6/VYuHAhbr31VsTFxcFiseDVV1+VvauKiopw5513IiEhIeTznzt3Dm+99RaOHTuGjo4OxMbGYvbs2bjqqqswffr0If89RERERP1hMoqIiIhoHLj44ouxYMECvP3223j33XeDbisuLkZRUZG8rb6+Hq+++irWr18Pk8mEXbt24Y033sD58+fxwAMP4M9//jOuvvpq3Hrrrdi5cyf+/ve/w2q14he/+AVUKlXQ7967dy9++9vfIikpCd/5zneQk5ODmpoa/PnPf8ajjz6KDRs2YOXKleH8VxAREVGEYzKKiIiIaByIiopCVFQUDAbDgLft3bsXzz33nKx0Wr9+PUpLS3Hy5En88pe/xEMPPSRvu+GGG1BaWopTp07h1KlTmDVrlvy9DQ0N+N3vfgcA2LhxI5KTkwEA6enpmD59Ou69915s2rQJc+bMkbcRERERDZd6rDeAiIiIiIamqKio15S7adOmAQDi4+N73Sam2lVVVQVdv23bNrhcLixbtqxXsik+Ph5Lly6Fy+XCJ598MtJ/AhEREU1iTEYRERERTTBpaWm9rouOjh7wNrvdHnT9kSNHAPw7kdXX85w8efLCN5aIiIioB07TIyIiIppgTCbTBd3m9/uDfm5qagIA/OUvf8Hrr7/e6/4+nw8AYLPZLmQziYiIiEJiMoqIiIhokrvxxhuxdOnSPm/XaDRh3BoiIiKKdExGEREREU1SKSkpqKurg0ajQXp6+lhvDhEREU0S7BlFRERENEkVFRUBAE6fPh3ydqfTiYcffhjvvvtuODeLiIiIIhyTUUREREST1Nq1a6HX67F//35YrdZet2/btg2VlZUyaUVEREQ0EpiMIiIiIhpFdrsdra2tcLvdAAC3243W1lZ0dXUF3U9c73Q6AXRXJYnHeb3ekLd5vd4Lvg0AUlNTcd9990FRFPzsZz/D7t270djYiKqqKmzevBl/+9vfcNtttyE3Nzcs/ysiIiKaHFSKoihjvRFEREREkerxxx9HeXl5r+tXrVqFDRs2yJ+3b9+O5557rtf9vvvd7yIlJQU//elPe922ceNGALig2woKCuTPNTU1+Mc//oGysjK0t7fDbDYjNzcXa9euxbx58wbxVxIRERENHpNRREREREREREQUNpymR0REREREREREYcNkFBERERERERERhQ2TUUREREREREREFDZMRhERERERERERUdgwGUVERERERERERGHDZBQREREREREREYUNk1FERERERERERBQ2TEYREREREREREVHYMBlFRERERERERERhw2QUERERERERERGFDZNRREREREREREQUNkxGERERERERERFR2DAZRUREREREREREYcNkFBERERERERERhc3/B4k37bionMv2AAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -709,7 +709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -766,7 +766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -845,7 +845,7 @@
        "39 2020-06-01  Cons2          0.154480  Data"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -887,7 +887,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -944,7 +944,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1001,7 +1001,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -1216,7 +1216,7 @@
        "6/1/2012 MN       0.0    0.0      0.0      0.0 -1.171862    -1.655460  "
       ]
      },
-     "execution_count": 13,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1251,7 +1251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -1552,11 +1552,7 @@
       "\n",
       "           * * *\n",
       "\n",
-      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
-      "    3      4     40     10     1     3   1.000D+00   4.125D+01\n",
-      "  F =   41.245615251205507     \n",
-      "\n",
-      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n"
+      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n"
      ]
     },
     {
@@ -1651,9 +1647,19 @@
        "ME  0.060567"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "    3      4     40     10     1     3   1.000D+00   4.125D+01\n",
+      "  F =   41.245615251205507     \n",
+      "\n",
+      "CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             \n"
+     ]
     }
    ],
    "source": [
@@ -1675,7 +1681,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1730,7 +1736,7 @@
        "Pandemic    -0.23         -0.10   0.31         0.0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1741,7 +1747,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1772,7 +1778,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -1781,7 +1787,7 @@
        "Timestamp('2022-12-01 00:00:00')"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1800,19 +1806,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(-1.0, 12.0)"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
     {
      "data": {
       "image/png": 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",
@@ -1842,12 +1838,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x600 with 1 Axes>"
       ]
@@ -1857,42 +1853,25 @@
     }
    ],
    "source": [
-    "data = sc.original_data\n",
-    "synth = data.synth_outcome\n",
-    "treated_outcome_all = data.treated_outcome_all\n",
-    "treatment_period = data.treatment_period\n",
-    "treated_label = \"Treated\"\n",
-    "synth_label = \"Synthetic Control\"\n",
-    "treatment_label = \"Treatment\"\n",
-    "\n",
-    "# Compute the delta from the pandemic data (treated outcome)\n",
     "synth_delta = synth[0, :] - treated_outcome_all[0, :]\n",
-    "\n",
-    "# Create x-axis data\n",
-    "x = df[df.State == treated_unit].Time\n",
-    "x = pd.to_datetime(x)\n",
-    "y = np.zeros_like(synth_delta)  # Pandemic as a flat line (zero)\n",
-    "\n",
-    "# If inversion is needed\n",
-    "if invert:\n",
-    "    synth_delta *= -1\n",
+    "flat_y = np.zeros_like(synth_delta)  # Pandemic as a flat line (zero)\n",
     "\n",
     "# Plotting\n",
     "plt.figure(figsize=(12, 6))\n",
-    "sns.lineplot(x=x, y=y, label=\"Pandemic Baseline\", color='black')  # Flat line at zero\n",
-    "sns.lineplot(x=x, y=synth_delta, label=\"Synthetic Deviation\", color='grey', linestyle='--')\n",
+    "sns.lineplot(x=x, y=flat_y, label=\"Pandemic Baseline\", color='black')  \n",
+    "sns.lineplot(x=x, y=ys - y, label=\"Synthetic Deviation\", color='grey', linestyle='--')\n",
     "\n",
     "# Mark the treatment period\n",
     "plt.axvline(x=pd.to_datetime(treatment_period), color='red', linestyle=':', label=treatment_label)\n",
     "\n",
-    "# Configure plot limits and labels\n",
+    "# Plot params\n",
     "plt.xlim([datetime(2022, 1, 1), x.max()])\n",
     "plt.ylim([min(synth_delta) - 1, max(synth_delta) + 1])\n",
     "plt.xlabel(\"Time\")\n",
     "plt.ylabel(\"Delta from Pandemic\")\n",
     "plt.title(\"Synthetic Control Deviation from Pandemic Baseline\")\n",
     "plt.legend()\n",
-    "plt.tight_layout()\n",
+    "plt.ylim([-3, 2])\n",
     "plt.savefig(FIG_OUT / \"MA-Pandemic-Delta.png\", dpi=600)"
    ]
   },

From dcb829e57cc5a75f21edb813e72e9953bd4813e1 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Mon, 28 Oct 2024 14:29:37 -0700
Subject: [PATCH 12/15] Move data out of package to reduce package size to pypi

---
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diff --git a/DFM-results-no-batchvar/df.csv b/DFM-results-no-batchvar/df.csv
deleted file mode 100644
index cf45b74..0000000
--- a/DFM-results-no-batchvar/df.csv
+++ /dev/null
@@ -1,37 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7,Factor
-1/1/2020,0.0,0.0,0.0,0.0,0.2045454545
-2/1/2020,0.0,0.0,0.0,0.0,0.0
-3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0
-4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711
-5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198
-6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355
-7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868
-8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975
-9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545
-10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934
-11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719
-12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314
-1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397
-2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645
-3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562
-4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116
-5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983
-6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568,0.1301652893
-7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223
-8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835
-9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083
-10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0
-11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438
-12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231
-1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256
-2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843
-3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25
-4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736
-5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496
-6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322
-7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165
-8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322
-9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479
-10/1/2022,0.0,0.0,0.0135738176,0.0293797606,0.041322314
-11/1/2022,0.0,0.0,0.0134850999,0.0054406964,0.0289256198
-12/1/2022,0.0,0.0,0.0121365899,0.0087051143,0.0061983471
diff --git a/DFM-results-no-batchvar/factors.csv b/DFM-results-no-batchvar/factors.csv
deleted file mode 100644
index 2640484..0000000
--- a/DFM-results-no-batchvar/factors.csv
+++ /dev/null
@@ -1,37 +0,0 @@
-Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,Factor_Factor,Factor_Batch
-1/1/2020,1.610883028959816,3.3573703827006685,0.0,0.0,0.0,0.0,0.2045454545,Batch1
-2/1/2020,1.8552851540307875,0.3182710830321631,0.0,0.0,0.0,0.0,0.0,Batch1
-3/1/2020,1.6552691511663973,-0.03496464325158444,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0,Batch1
-4/1/2020,1.5060327578318145,0.2609625484854403,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711,Batch1
-5/1/2020,1.5822915162968254,0.015742107064223687,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198,Batch1
-6/1/2020,1.507393451911332,-0.057169118188309664,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355,Batch1
-7/1/2020,1.0166573716212814,-0.23198058139077582,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868,Batch1
-8/1/2020,0.6581833928406112,0.41636855808248663,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975,Batch1
-9/1/2020,0.6802475877868829,0.41386016910983087,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545,Batch1
-10/1/2020,-0.00669797508764125,-0.7212222820800565,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934,Batch1
-11/1/2020,-2.0062125701213525,-0.44540808983743296,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719,Batch1
-12/1/2020,-2.567583222537974,1.878666814467182,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314,Batch1
-1/1/2021,-1.0516351565514146,1.1968316193892663,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397,Batch1
-2/1/2021,0.4841344871542008,-0.08100831316992607,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645,Batch1
-3/1/2021,0.7055592591405191,-0.23103088476876787,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562,Batch1
-4/1/2021,0.5268222312557367,0.015071472916055484,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116,Batch1
-5/1/2021,0.5839591823975601,0.8983534551514998,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983,Batch1
-6/1/2021,1.1755209395673514,0.12650751235319618,0.0723684211,0.0529801325,0.0149666865,0.0957562568,0.1301652893,Batch1
-7/1/2021,0.6918526870812182,-0.7474570982086242,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223,Batch1
-8/1/2021,-1.4286438283886889,-0.647399457682832,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835,Batch1
-9/1/2021,-3.919084663048424,0.449752563922739,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083,Batch1
-10/1/2021,-4.566727694386866,1.6630387285634711,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0,Batch1
-11/1/2021,-3.330557990239016,2.3433690196172745,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438,Batch1
-12/1/2021,-1.0106386091513873,0.3152248657130795,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231,Batch1
-1/1/2022,-2.5775837369971053,-5.440350565039624,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256,Batch1
-2/1/2022,-1.7916992413114525,-0.04747365929138772,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843,Batch1
-3/1/2022,-0.3750866152544976,0.17207154446381345,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25,Batch1
-4/1/2022,0.5070492328366724,-0.158650866200451,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736,Batch1
-5/1/2022,0.6310723249012429,-0.5066951180553934,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496,Batch1
-6/1/2022,0.7050883292912593,-0.6271550100461651,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322,Batch1
-7/1/2022,0.6424414238000056,-0.6036074724851817,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165,Batch1
-8/1/2022,0.694448495845538,-0.20531585345548342,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322,Batch1
-9/1/2022,0.9872153072524922,0.36946909355209284,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479,Batch1
-10/1/2022,1.4484401123669604,-0.02160230913226202,0.0,0.0,0.0135738176,0.0293797606,0.041322314,Batch1
-11/1/2022,1.6052565274113881,-0.019551791345665842,0.0,0.0,0.0134850999,0.0054406964,0.0289256198,Batch1
-12/1/2022,1.7005444671143124,-0.12157200258452772,0.0,0.0,0.0121365899,0.0087051143,0.0061983471,Batch1
diff --git a/DFM-results-no-batchvar/model.csv b/DFM-results-no-batchvar/model.csv
deleted file mode 100644
index ed1e6bd..0000000
--- a/DFM-results-no-batchvar/model.csv
+++ /dev/null
@@ -1,17 +0,0 @@
-             Model Specification: Dynamic Factor Model
-Model: ,Dynamic Factor Model   ,  # of observed variables:   ,5
-       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
-       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
-Sample:,2020-01-01 00:00:00    ,  Standardize variables:     ,True
-       ,- 2022-12-01 00:00:00  ,                             ,
-Observed variables / factor loadings
-Dep. variable,Global,Pandemic
-Pandemic_10  ,X     ,X
-Pandemic_9   ,X     ,X
-Pandemic_1   ,X     ,X
-Pandemic_7   ,X     ,X
-Factor       ,X     ,X
-Factor blocks:
- block  ,order
-Global  ,1
-Pandemic,1
diff --git a/DFM-results-no-batchvar/raw.csv b/DFM-results-no-batchvar/raw.csv
deleted file mode 100644
index 683659e..0000000
--- a/DFM-results-no-batchvar/raw.csv
+++ /dev/null
@@ -1,37 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7,Factor,Batch
-1/1/2020,0.0,0.0,0.0,0.0,0.2045454545,Batch1
-2/1/2020,0.0,0.0,0.0,0.0,0.0,Batch1
-3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998,0.0,Batch1
-4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213,0.0619834711,Batch1
-5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999,0.0289256198,Batch1
-6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783,0.0309917355,Batch1
-7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993,0.0640495868,Batch1
-8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185,0.1838842975,Batch1
-9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566,0.2045454545,Batch1
-10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199,0.1570247934,Batch1
-11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383,0.423553719,Batch1
-12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123,0.7541322314,Batch1
-1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564,0.5578512397,Batch1
-2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995,0.2190082645,Batch1
-3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921,0.152892562,Batch1
-4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049,0.2252066116,Batch1
-5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353,0.2892561983,Batch1
-6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568,0.1301652893,Batch1
-7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642,0.0950413223,Batch1
-8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507,0.3925619835,Batch1
-9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0,0.8037190083,Batch1
-10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899,1.0,Batch1
-11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234,0.8347107438,Batch1
-12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848,0.4504132231,Batch1
-1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284,0.2665289256,Batch1
-2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955,0.479338843,Batch1
-3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353,0.25,Batch1
-4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926,0.1280991736,Batch1
-5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675,0.0723140496,Batch1
-6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889,0.1095041322,Batch1
-7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282,0.1074380165,Batch1
-8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346,0.1095041322,Batch1
-9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534,0.1115702479,Batch1
-10/1/2022,0.0,0.0,0.0135738176,0.0293797606,0.041322314,Batch1
-11/1/2022,0.0,0.0,0.0134850999,0.0054406964,0.0289256198,Batch1
-12/1/2022,0.0,0.0,0.0121365899,0.0087051143,0.0061983471,Batch1
diff --git a/DFM-results-no-batchvar/results.csv b/DFM-results-no-batchvar/results.csv
deleted file mode 100644
index 9422400..0000000
--- a/DFM-results-no-batchvar/results.csv
+++ /dev/null
@@ -1,26 +0,0 @@
-                          Dynamic Factor Results
-Dep. Variable:  ,"Pandemic_10", and 4 more,  No. Observations:  ,36
-Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-155.781
-                ,+ 2 factors in 2 blocks  ,  AIC                ,359.562
-                ,+ AR(1) idiosyncratic    ,  BIC                ,397.567
-Date:           ,Sat, 19 Oct 2024         ,  HQIC               ,372.827
-Time:           ,16:43:12                 ,  EM Iterations      ,204
-Sample:         ,01-01-2020               ,                     ,
-                ,- 12-01-2022             ,                     ,
-Covariance Type:,Not computed             ,                     ,
-                    Observation equation:
-Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
-Pandemic_10     ,-0.29 ,-0.01   ,0.62                   ,0.49
-Pandemic_9      ,-0.49 ,0.19    ,0.00                   ,0.17
-Pandemic_1      ,-0.39 ,-0.42   ,0.10                   ,0.18
-Pandemic_7      ,-0.49 ,-0.09   ,0.69                   ,0.14
-Factor          ,-0.50 ,0.24    ,0.53                   ,0.04
-    Transition: Factor block 0
-      ,L1.Global,   error variance
-Global,0.83     ,0.98
-      Transition: Factor block 1
-        ,L1.Pandemic,   error variance
-Pandemic,0.13       ,1.70
-
-Warnings:
-[1] Covariance matrix not calculated.
diff --git a/DFM-results-no-batchvar/run-info.yaml b/DFM-results-no-batchvar/run-info.yaml
deleted file mode 100644
index 9c7c007..0000000
--- a/DFM-results-no-batchvar/run-info.yaml
+++ /dev/null
@@ -1,21 +0,0 @@
-diff_cols: []
-factor_map:
-  Factor: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_1: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_10: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_7: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_9: !!python/tuple
-  - Global
-  - Pandemic
-global_multiplier: 1
-logdiff_cols: []
-maxiter: 10000
-non_stationary_cols: null
diff --git a/DFM-results/AK/df.csv b/DFM-results/AK/df.csv
deleted file mode 100644
index dcc407a..0000000
--- a/DFM-results/AK/df.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
-2/1/2020,0.5249834241681198,0.639810426576236,0.0,0.0
-3/1/2020,0.5350496971873824,0.6682464455081445,0.0042229655,0.0609357998
-4/1/2020,0.6301003819548583,0.6255924171460637,0.0024131231,0.0282916213
-5/1/2020,0.6318655191323951,0.6445497630291054,0.0025728151,0.0304678999
-6/1/2020,0.5777526986231899,0.639810426576236,0.0108767976,0.0631120783
-7/1/2020,0.9256247781692474,0.6966824645116171,0.040277864,0.1828073993
-8/1/2020,0.31842053044995583,0.6540284360779722,0.0370130504,0.204570185
-9/1/2020,0.29015963927537214,0.6303317535989331,0.0532484009,0.1566920566
-10/1/2020,0.4188699423378682,0.7819905213073427,0.1582192571,0.4243743199
-11/1/2020,0.6447862893178639,0.8388625593142877,0.3026162868,0.752992383
-12/1/2020,1.0,0.5781990521879855,0.1744191205,0.5571273123
-1/1/2021,0.9935075459161131,0.40758293838184234,0.0982904087,0.2176278564
-2/1/2021,0.2171088088183265,0.5829383886408549,0.0558034724,0.1523394995
-3/1/2021,0.0,0.6492890996251028,0.072748565,0.2241566921
-4/1/2021,0.30496192420701207,0.5639810426862493,0.0778320928,0.289445049
-5/1/2021,0.5051223816513358,0.7345971564208285,0.0299511165,0.1284004353
-6/1/2021,0.5264904042441626,0.5781990521879855,0.0149666865,0.0957562568
-7/1/2021,0.5257364189156271,0.6587677725308417,0.0817711614,0.39390642
-8/1/2021,0.6094489185049698,0.8151658768352485,0.26157545,0.8019586507
-9/1/2021,0.7459529618788955,1.0,0.4060079669,1.0
-10/1/2021,0.5161371004085843,0.7251184834435256,0.3689594294,0.8335146899
-11/1/2021,0.5195901425932368,0.6777251185570113,0.1806914662,0.4494015234
-12/1/2021,0.7534522362151508,0.0,0.1362261238,0.2655059848
-1/1/2022,0.5399408704343176,0.7677725118771704,1.0,0.478781284
-2/1/2022,0.4589196901361835,0.8056872038579458,0.2854316563,0.2491838955
-3/1/2022,0.4004988448856724,0.5781990521879855,0.1077388504,0.1284004353
-4/1/2022,0.3158723696850353,0.4454976303626177,0.0940142126,0.0718171926
-5/1/2022,0.4042656813546738,0.6824644550098808,0.1257574279,0.1099020675
-6/1/2022,0.4749865559784121,0.48341232227182906,0.1572433617,0.1077257889
-7/1/2022,0.539145020682225,0.7488151659225647,0.1569505931,0.1088139282
-8/1/2022,0.5600719174336509,0.6682464455081445,0.0951143128,0.112078346
-9/1/2022,0.4910380706080559,0.6208530806216302,0.0211769298,0.0402611534
-10/1/2022,0.42459223238006044,0.5213270142526044,0.0135738176,0.0293797606
-11/1/2022,0.5249834241681198,0.639810426576236,0.0134850999,0.0054406964
-12/1/2022,0.5249834241681198,0.639810426576236,0.0121365899,0.0087051143
diff --git a/DFM-results/AK/factors.csv b/DFM-results/AK/factors.csv
deleted file mode 100644
index be8f2f8..0000000
--- a/DFM-results/AK/factors.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
-2/1/2020,0.04527204327406025,-0.6311005422233046,0.0,0.0,0.0,0.0,AK
-3/1/2020,0.07688896175549678,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,AK
-4/1/2020,0.4499336774656316,-0.08951772903944236,0.0693139098,0.0198675497,0.0024131231,0.0282916213,AK
-5/1/2020,0.5425651431158636,-0.06144584133074608,0.1379229323,0.0264900662,0.0025728151,0.0304678999,AK
-6/1/2020,0.47257098242751205,-0.052878533145120483,0.1734022556,0.0264900662,0.0108767976,0.0631120783,AK
-7/1/2020,-0.09883897521868851,0.10034418260401007,0.4814379699,0.1059602649,0.040277864,0.1828073993,AK
-8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,AK
-9/1/2020,0.2859518054989112,-0.12373240395548166,0.1459116541,0.1125827815,0.0532484009,0.1566920566,AK
-10/1/2020,-1.0397676571986374,-0.06803016671869833,0.0773026316,0.3112582781,0.1582192571,0.4243743199,AK
-11/1/2020,-2.600625550164835,0.11755469478482498,0.155075188,0.5894039735,0.3026162868,0.752992383,AK
-12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,AK
-1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,AK
-2/1/2021,0.754472011098265,-0.013467999040589013,0.6719924812,0.0993377483,0.0558034724,0.1523394995,AK
-3/1/2021,0.36723975460936603,-0.19497187243926759,0.2319078947,0.1125827815,0.072748565,0.2241566921,AK
-4/1/2021,0.14504731601185394,0.0068054274224537276,0.0838815789,0.0066225166,0.0778320928,0.289445049,AK
-5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,AK
-6/1/2021,0.8707895105201184,-0.08592790735182523,0.0723684211,0.0529801325,0.0149666865,0.0957562568,AK
-7/1/2021,-0.5341674400168254,0.07575463723416342,0.0728383459,0.0794701987,0.0817711614,0.39390642,AK
-8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,AK
-9/1/2021,-3.6449845826393164,0.11367564223498003,0.2814849624,0.8278145695,0.4060079669,1.0,AK
-10/1/2021,-2.603020667472522,0.12861231455200028,0.274906015,0.9470198675,0.3689594294,0.8335146899,AK
-11/1/2021,-0.6446206514350425,0.0022656209467696448,0.2709116541,1.0,0.1806914662,0.4494015234,AK
-12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,AK
-1/1/2022,-1.295076038746597,0.13339600324906487,0.4642857143,0.2847682119,1.0,0.478781284,AK
-2/1/2022,-0.12576436064851126,-0.17789726818101623,0.4090695489,0.5165562914,0.2854316563,0.2491838955,AK
-3/1/2022,0.5975477657235448,-0.11530705047413342,0.3106203008,0.4304635762,0.1077388504,0.1284004353,AK
-4/1/2022,1.0230054373780837,0.009337239674233215,0.1604793233,0.1589403974,0.0940142126,0.0718171926,AK
-5/1/2022,0.6367619775099977,-0.12661974670509923,0.0817669173,0.2185430464,0.1257574279,0.1099020675,AK
-6/1/2022,0.7202838193469983,0.04735833996428815,0.0507518797,0.0,0.1572433617,0.1077257889,AK
-7/1/2022,0.45931284469289,-0.15359505427241749,0.0594454887,0.1523178808,0.1569505931,0.1088139282,AK
-8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,AK
-9/1/2022,0.8327502043218972,-0.13550379310693184,0.0601503759,0.1655629139,0.0211769298,0.0402611534,AK
-10/1/2022,1.0071822806601058,-0.04270526993394214,0.0,0.0,0.0135738176,0.0293797606,AK
-11/1/2022,1.0296511151910714,-0.10729106051629682,0.0,0.0,0.0134850999,0.0054406964,AK
-12/1/2022,0.9590231403770624,-0.13619559876359177,0.0,0.0,0.0121365899,0.0087051143,AK
diff --git a/DFM-results/AK/model.csv b/DFM-results/AK/model.csv
deleted file mode 100644
index e4d2884..0000000
--- a/DFM-results/AK/model.csv
+++ /dev/null
@@ -1,16 +0,0 @@
-             Model Specification: Dynamic Factor Model
-Model: ,Dynamic Factor Model   ,  # of observed variables:   ,4
-       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
-       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
-Sample:,2020-02-01 00:00:00    ,  Standardize variables:     ,True
-       ,- 2022-12-01 00:00:00  ,                             ,
-Observed variables / factor loadings
-Dep. variable,Global,Pandemic
-Pandemic_10  ,X     ,X
-Pandemic_9   ,X     ,X
-Pandemic_1   ,X     ,X
-Pandemic_7   ,X     ,X
-Factor blocks:
- block  ,order
-Global  ,1
-Pandemic,1
diff --git a/DFM-results/AK/raw.csv b/DFM-results/AK/raw.csv
deleted file mode 100644
index a0f3499..0000000
--- a/DFM-results/AK/raw.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
-2/1/2020,0.0,0.0,0.0,0.0
-3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998
-4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213
-5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999
-6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783
-7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993
-8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185
-9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566
-10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199
-11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383
-12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123
-1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564
-2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995
-3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921
-4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049
-5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353
-6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568
-7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642
-8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507
-9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0
-10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899
-11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234
-12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848
-1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284
-2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955
-3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353
-4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926
-5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675
-6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889
-7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282
-8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346
-9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534
-10/1/2022,0.0,0.0,0.0135738176,0.0293797606
-11/1/2022,0.0,0.0,0.0134850999,0.0054406964
-12/1/2022,0.0,0.0,0.0121365899,0.0087051143
diff --git a/DFM-results/AK/results.csv b/DFM-results/AK/results.csv
deleted file mode 100644
index 480bd66..0000000
--- a/DFM-results/AK/results.csv
+++ /dev/null
@@ -1,25 +0,0 @@
-                          Dynamic Factor Results
-Dep. Variable:  ,"Pandemic_10", and 3 more,  No. Observations:  ,35
-Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-160.323
-                ,+ 2 factors in 2 blocks  ,  AIC                ,360.647
-                ,+ AR(1) idiosyncratic    ,  BIC                ,391.754
-Date:           ,Sun, 20 Oct 2024         ,  HQIC               ,371.385
-Time:           ,18:29:48                 ,  EM Iterations      ,164
-Sample:         ,02-01-2020               ,                     ,
-                ,- 12-01-2022             ,                     ,
-Covariance Type:,Not computed             ,                     ,
-                    Observation equation:
-Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
-Pandemic_10     ,-0.20 ,0.43    ,0.32                   ,0.78
-Pandemic_9      ,-0.46 ,-0.54   ,-0.04                  ,0.65
-Pandemic_1      ,-0.58 ,0.03    ,0.40                   ,0.53
-Pandemic_7      ,-0.62 ,0.23    ,0.82                   ,0.05
-    Transition: Factor block 0
-      ,L1.Global,   error variance
-Global,0.67     ,0.86
-      Transition: Factor block 1
-        ,L1.Pandemic,   error variance
-Pandemic,0.42       ,0.19
-
-Warnings:
-[1] Covariance matrix not calculated.
diff --git a/DFM-results/AK/run-info.yaml b/DFM-results/AK/run-info.yaml
deleted file mode 100644
index 1cdab56..0000000
--- a/DFM-results/AK/run-info.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-diff_cols:
-- Pandemic_9
-factor_map:
-  Pandemic_1: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_10: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_7: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_9: !!python/tuple
-  - Global
-  - Pandemic
-global_multiplier: 1
-logdiff_cols:
-- Pandemic_10
-maxiter: 10000
-non_stationary_cols: null
diff --git a/DFM-results/CA/df.csv b/DFM-results/CA/df.csv
deleted file mode 100644
index dcc407a..0000000
--- a/DFM-results/CA/df.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
-2/1/2020,0.5249834241681198,0.639810426576236,0.0,0.0
-3/1/2020,0.5350496971873824,0.6682464455081445,0.0042229655,0.0609357998
-4/1/2020,0.6301003819548583,0.6255924171460637,0.0024131231,0.0282916213
-5/1/2020,0.6318655191323951,0.6445497630291054,0.0025728151,0.0304678999
-6/1/2020,0.5777526986231899,0.639810426576236,0.0108767976,0.0631120783
-7/1/2020,0.9256247781692474,0.6966824645116171,0.040277864,0.1828073993
-8/1/2020,0.31842053044995583,0.6540284360779722,0.0370130504,0.204570185
-9/1/2020,0.29015963927537214,0.6303317535989331,0.0532484009,0.1566920566
-10/1/2020,0.4188699423378682,0.7819905213073427,0.1582192571,0.4243743199
-11/1/2020,0.6447862893178639,0.8388625593142877,0.3026162868,0.752992383
-12/1/2020,1.0,0.5781990521879855,0.1744191205,0.5571273123
-1/1/2021,0.9935075459161131,0.40758293838184234,0.0982904087,0.2176278564
-2/1/2021,0.2171088088183265,0.5829383886408549,0.0558034724,0.1523394995
-3/1/2021,0.0,0.6492890996251028,0.072748565,0.2241566921
-4/1/2021,0.30496192420701207,0.5639810426862493,0.0778320928,0.289445049
-5/1/2021,0.5051223816513358,0.7345971564208285,0.0299511165,0.1284004353
-6/1/2021,0.5264904042441626,0.5781990521879855,0.0149666865,0.0957562568
-7/1/2021,0.5257364189156271,0.6587677725308417,0.0817711614,0.39390642
-8/1/2021,0.6094489185049698,0.8151658768352485,0.26157545,0.8019586507
-9/1/2021,0.7459529618788955,1.0,0.4060079669,1.0
-10/1/2021,0.5161371004085843,0.7251184834435256,0.3689594294,0.8335146899
-11/1/2021,0.5195901425932368,0.6777251185570113,0.1806914662,0.4494015234
-12/1/2021,0.7534522362151508,0.0,0.1362261238,0.2655059848
-1/1/2022,0.5399408704343176,0.7677725118771704,1.0,0.478781284
-2/1/2022,0.4589196901361835,0.8056872038579458,0.2854316563,0.2491838955
-3/1/2022,0.4004988448856724,0.5781990521879855,0.1077388504,0.1284004353
-4/1/2022,0.3158723696850353,0.4454976303626177,0.0940142126,0.0718171926
-5/1/2022,0.4042656813546738,0.6824644550098808,0.1257574279,0.1099020675
-6/1/2022,0.4749865559784121,0.48341232227182906,0.1572433617,0.1077257889
-7/1/2022,0.539145020682225,0.7488151659225647,0.1569505931,0.1088139282
-8/1/2022,0.5600719174336509,0.6682464455081445,0.0951143128,0.112078346
-9/1/2022,0.4910380706080559,0.6208530806216302,0.0211769298,0.0402611534
-10/1/2022,0.42459223238006044,0.5213270142526044,0.0135738176,0.0293797606
-11/1/2022,0.5249834241681198,0.639810426576236,0.0134850999,0.0054406964
-12/1/2022,0.5249834241681198,0.639810426576236,0.0121365899,0.0087051143
diff --git a/DFM-results/CA/factors.csv b/DFM-results/CA/factors.csv
deleted file mode 100644
index 858ad44..0000000
--- a/DFM-results/CA/factors.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
-2/1/2020,0.04527204327406025,-0.6311005422233046,0.0,0.0,0.0,0.0,CA
-3/1/2020,0.07688896175549678,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,CA
-4/1/2020,0.4499336774656316,-0.08951772903944236,0.0693139098,0.0198675497,0.0024131231,0.0282916213,CA
-5/1/2020,0.5425651431158636,-0.06144584133074608,0.1379229323,0.0264900662,0.0025728151,0.0304678999,CA
-6/1/2020,0.47257098242751205,-0.052878533145120483,0.1734022556,0.0264900662,0.0108767976,0.0631120783,CA
-7/1/2020,-0.09883897521868851,0.10034418260401007,0.4814379699,0.1059602649,0.040277864,0.1828073993,CA
-8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,CA
-9/1/2020,0.2859518054989112,-0.12373240395548166,0.1459116541,0.1125827815,0.0532484009,0.1566920566,CA
-10/1/2020,-1.0397676571986374,-0.06803016671869833,0.0773026316,0.3112582781,0.1582192571,0.4243743199,CA
-11/1/2020,-2.600625550164835,0.11755469478482498,0.155075188,0.5894039735,0.3026162868,0.752992383,CA
-12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,CA
-1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,CA
-2/1/2021,0.754472011098265,-0.013467999040589013,0.6719924812,0.0993377483,0.0558034724,0.1523394995,CA
-3/1/2021,0.36723975460936603,-0.19497187243926759,0.2319078947,0.1125827815,0.072748565,0.2241566921,CA
-4/1/2021,0.14504731601185394,0.0068054274224537276,0.0838815789,0.0066225166,0.0778320928,0.289445049,CA
-5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,CA
-6/1/2021,0.8707895105201184,-0.08592790735182523,0.0723684211,0.0529801325,0.0149666865,0.0957562568,CA
-7/1/2021,-0.5341674400168254,0.07575463723416342,0.0728383459,0.0794701987,0.0817711614,0.39390642,CA
-8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,CA
-9/1/2021,-3.6449845826393164,0.11367564223498003,0.2814849624,0.8278145695,0.4060079669,1.0,CA
-10/1/2021,-2.603020667472522,0.12861231455200028,0.274906015,0.9470198675,0.3689594294,0.8335146899,CA
-11/1/2021,-0.6446206514350425,0.0022656209467696448,0.2709116541,1.0,0.1806914662,0.4494015234,CA
-12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,CA
-1/1/2022,-1.295076038746597,0.13339600324906487,0.4642857143,0.2847682119,1.0,0.478781284,CA
-2/1/2022,-0.12576436064851126,-0.17789726818101623,0.4090695489,0.5165562914,0.2854316563,0.2491838955,CA
-3/1/2022,0.5975477657235448,-0.11530705047413342,0.3106203008,0.4304635762,0.1077388504,0.1284004353,CA
-4/1/2022,1.0230054373780837,0.009337239674233215,0.1604793233,0.1589403974,0.0940142126,0.0718171926,CA
-5/1/2022,0.6367619775099977,-0.12661974670509923,0.0817669173,0.2185430464,0.1257574279,0.1099020675,CA
-6/1/2022,0.7202838193469983,0.04735833996428815,0.0507518797,0.0,0.1572433617,0.1077257889,CA
-7/1/2022,0.45931284469289,-0.15359505427241749,0.0594454887,0.1523178808,0.1569505931,0.1088139282,CA
-8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,CA
-9/1/2022,0.8327502043218972,-0.13550379310693184,0.0601503759,0.1655629139,0.0211769298,0.0402611534,CA
-10/1/2022,1.0071822806601058,-0.04270526993394214,0.0,0.0,0.0135738176,0.0293797606,CA
-11/1/2022,1.0296511151910714,-0.10729106051629682,0.0,0.0,0.0134850999,0.0054406964,CA
-12/1/2022,0.9590231403770624,-0.13619559876359177,0.0,0.0,0.0121365899,0.0087051143,CA
diff --git a/DFM-results/CA/model.csv b/DFM-results/CA/model.csv
deleted file mode 100644
index e4d2884..0000000
--- a/DFM-results/CA/model.csv
+++ /dev/null
@@ -1,16 +0,0 @@
-             Model Specification: Dynamic Factor Model
-Model: ,Dynamic Factor Model   ,  # of observed variables:   ,4
-       ,+ 2 factors in 2 blocks,  # of factor blocks:        ,2
-       ,+ AR(1) idiosyncratic  ,  Idiosyncratic disturbances:,AR(1)
-Sample:,2020-02-01 00:00:00    ,  Standardize variables:     ,True
-       ,- 2022-12-01 00:00:00  ,                             ,
-Observed variables / factor loadings
-Dep. variable,Global,Pandemic
-Pandemic_10  ,X     ,X
-Pandemic_9   ,X     ,X
-Pandemic_1   ,X     ,X
-Pandemic_7   ,X     ,X
-Factor blocks:
- block  ,order
-Global  ,1
-Pandemic,1
diff --git a/DFM-results/CA/raw.csv b/DFM-results/CA/raw.csv
deleted file mode 100644
index a0f3499..0000000
--- a/DFM-results/CA/raw.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-Time,Pandemic_10,Pandemic_9,Pandemic_1,Pandemic_7
-2/1/2020,0.0,0.0,0.0,0.0
-3/1/2020,0.0058740602,0.0397350993,0.0042229655,0.0609357998
-4/1/2020,0.0693139098,0.0198675497,0.0024131231,0.0282916213
-5/1/2020,0.1379229323,0.0264900662,0.0025728151,0.0304678999
-6/1/2020,0.1734022556,0.0264900662,0.0108767976,0.0631120783
-7/1/2020,0.4814379699,0.1059602649,0.040277864,0.1828073993
-8/1/2020,0.313674812,0.1258278146,0.0370130504,0.204570185
-9/1/2020,0.1459116541,0.1125827815,0.0532484009,0.1566920566
-10/1/2020,0.0773026316,0.3112582781,0.1582192571,0.4243743199
-11/1/2020,0.155075188,0.5894039735,0.3026162868,0.752992383
-12/1/2020,0.5227913534,0.5033112583,0.1744191205,0.5571273123
-1/1/2021,1.0,0.178807947,0.0982904087,0.2176278564
-2/1/2021,0.6719924812,0.0993377483,0.0558034724,0.1523394995
-3/1/2021,0.2319078947,0.1125827815,0.072748565,0.2241566921
-4/1/2021,0.0838815789,0.0066225166,0.0778320928,0.289445049
-5/1/2021,0.0714285714,0.1390728477,0.0299511165,0.1284004353
-6/1/2021,0.0723684211,0.0529801325,0.0149666865,0.0957562568
-7/1/2021,0.0728383459,0.0794701987,0.0817711614,0.39390642
-8/1/2021,0.1268796992,0.3245033113,0.26157545,0.8019586507
-9/1/2021,0.2814849624,0.8278145695,0.4060079669,1.0
-10/1/2021,0.274906015,0.9470198675,0.3689594294,0.8335146899
-11/1/2021,0.2709116541,1.0,0.1806914662,0.4494015234
-12/1/2021,0.4515977444,0.1059602649,0.1362261238,0.2655059848
-1/1/2022,0.4642857143,0.2847682119,1.0,0.478781284
-2/1/2022,0.4090695489,0.5165562914,0.2854316563,0.2491838955
-3/1/2022,0.3106203008,0.4304635762,0.1077388504,0.1284004353
-4/1/2022,0.1604793233,0.1589403974,0.0940142126,0.0718171926
-5/1/2022,0.0817669173,0.2185430464,0.1257574279,0.1099020675
-6/1/2022,0.0507518797,0.0,0.1572433617,0.1077257889
-7/1/2022,0.0594454887,0.1523178808,0.1569505931,0.1088139282
-8/1/2022,0.0812969925,0.1920529801,0.0951143128,0.112078346
-9/1/2022,0.0601503759,0.1655629139,0.0211769298,0.0402611534
-10/1/2022,0.0,0.0,0.0135738176,0.0293797606
-11/1/2022,0.0,0.0,0.0134850999,0.0054406964
-12/1/2022,0.0,0.0,0.0121365899,0.0087051143
diff --git a/DFM-results/CA/results.csv b/DFM-results/CA/results.csv
deleted file mode 100644
index 480bd66..0000000
--- a/DFM-results/CA/results.csv
+++ /dev/null
@@ -1,25 +0,0 @@
-                          Dynamic Factor Results
-Dep. Variable:  ,"Pandemic_10", and 3 more,  No. Observations:  ,35
-Model:          ,Dynamic Factor Model     ,  Log Likelihood     ,-160.323
-                ,+ 2 factors in 2 blocks  ,  AIC                ,360.647
-                ,+ AR(1) idiosyncratic    ,  BIC                ,391.754
-Date:           ,Sun, 20 Oct 2024         ,  HQIC               ,371.385
-Time:           ,18:29:48                 ,  EM Iterations      ,164
-Sample:         ,02-01-2020               ,                     ,
-                ,- 12-01-2022             ,                     ,
-Covariance Type:,Not computed             ,                     ,
-                    Observation equation:
-Factor loadings:,Global,Pandemic,   idiosyncratic: AR(1),var.
-Pandemic_10     ,-0.20 ,0.43    ,0.32                   ,0.78
-Pandemic_9      ,-0.46 ,-0.54   ,-0.04                  ,0.65
-Pandemic_1      ,-0.58 ,0.03    ,0.40                   ,0.53
-Pandemic_7      ,-0.62 ,0.23    ,0.82                   ,0.05
-    Transition: Factor block 0
-      ,L1.Global,   error variance
-Global,0.67     ,0.86
-      Transition: Factor block 1
-        ,L1.Pandemic,   error variance
-Pandemic,0.42       ,0.19
-
-Warnings:
-[1] Covariance matrix not calculated.
diff --git a/DFM-results/CA/run-info.yaml b/DFM-results/CA/run-info.yaml
deleted file mode 100644
index 1cdab56..0000000
--- a/DFM-results/CA/run-info.yaml
+++ /dev/null
@@ -1,20 +0,0 @@
-diff_cols:
-- Pandemic_9
-factor_map:
-  Pandemic_1: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_10: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_7: !!python/tuple
-  - Global
-  - Pandemic
-  Pandemic_9: !!python/tuple
-  - Global
-  - Pandemic
-global_multiplier: 1
-logdiff_cols:
-- Pandemic_10
-maxiter: 10000
-non_stationary_cols: null
diff --git a/DFM-results/factors.csv b/DFM-results/factors.csv
deleted file mode 100644
index 220b550..0000000
--- a/DFM-results/factors.csv
+++ /dev/null
@@ -1,71 +0,0 @@
-Time,Factor_Global,Factor_Pandemic,Factor_Pandemic_10,Factor_Pandemic_9,Factor_Pandemic_1,Factor_Pandemic_7,State
-2/1/2020,0.0452720432740602,-0.6311005422233046,0.0,0.0,0.0,0.0,CA
-3/1/2020,0.0768889617554967,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,CA
-4/1/2020,0.4499336774656316,-0.0895177290394423,0.0693139098,0.0198675497,0.0024131231,0.0282916213,CA
-5/1/2020,0.5425651431158636,-0.061445841330746,0.1379229323,0.0264900662,0.0025728151,0.0304678999,CA
-6/1/2020,0.472570982427512,-0.0528785331451204,0.1734022556,0.0264900662,0.0108767976,0.0631120783,CA
-7/1/2020,-0.0988389752186885,0.10034418260401,0.4814379699,0.1059602649,0.040277864,0.1828073993,CA
-8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,CA
-9/1/2020,0.2859518054989112,-0.1237324039554816,0.1459116541,0.1125827815,0.0532484009,0.1566920566,CA
-10/1/2020,-1.0397676571986374,-0.0680301667186983,0.0773026316,0.3112582781,0.1582192571,0.4243743199,CA
-11/1/2020,-2.600625550164835,0.1175546947848249,0.155075188,0.5894039735,0.3026162868,0.752992383,CA
-12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,CA
-1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,CA
-2/1/2021,0.754472011098265,-0.013467999040589,0.6719924812,0.0993377483,0.0558034724,0.1523394995,CA
-3/1/2021,0.367239754609366,-0.1949718724392675,0.2319078947,0.1125827815,0.072748565,0.2241566921,CA
-4/1/2021,0.1450473160118539,0.0068054274224537,0.0838815789,0.0066225166,0.0778320928,0.289445049,CA
-5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,CA
-6/1/2021,0.8707895105201184,-0.0859279073518252,0.0723684211,0.0529801325,0.0149666865,0.0957562568,CA
-7/1/2021,-0.5341674400168254,0.0757546372341634,0.0728383459,0.0794701987,0.0817711614,0.39390642,CA
-8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,CA
-9/1/2021,-3.644984582639317,0.11367564223498,0.2814849624,0.8278145695,0.4060079669,1.0,CA
-10/1/2021,-2.603020667472522,0.1286123145520002,0.274906015,0.9470198675,0.3689594294,0.8335146899,CA
-11/1/2021,-0.6446206514350425,0.0022656209467696,0.2709116541,1.0,0.1806914662,0.4494015234,CA
-12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,CA
-1/1/2022,-1.295076038746597,0.1333960032490648,0.4642857143,0.2847682119,1.0,0.478781284,CA
-2/1/2022,-0.1257643606485112,-0.1778972681810162,0.4090695489,0.5165562914,0.2854316563,0.2491838955,CA
-3/1/2022,0.5975477657235448,-0.1153070504741334,0.3106203008,0.4304635762,0.1077388504,0.1284004353,CA
-4/1/2022,1.0230054373780837,0.0093372396742332,0.1604793233,0.1589403974,0.0940142126,0.0718171926,CA
-5/1/2022,0.6367619775099977,-0.1266197467050992,0.0817669173,0.2185430464,0.1257574279,0.1099020675,CA
-6/1/2022,0.7202838193469983,0.0473583399642881,0.0507518797,0.0,0.1572433617,0.1077257889,CA
-7/1/2022,0.45931284469289,-0.1535950542724174,0.0594454887,0.1523178808,0.1569505931,0.1088139282,CA
-8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,CA
-9/1/2022,0.8327502043218972,-0.1355037931069318,0.0601503759,0.1655629139,0.0211769298,0.0402611534,CA
-10/1/2022,1.0071822806601058,-0.0427052699339421,0.0,0.0,0.0135738176,0.0293797606,CA
-11/1/2022,1.0296511151910714,-0.1072910605162968,0.0,0.0,0.0134850999,0.0054406964,CA
-12/1/2022,0.9590231403770624,-0.1361955987635917,0.0,0.0,0.0121365899,0.0087051143,CA
-2/1/2020,0.0452720432740602,-0.6311005422233046,0.0,0.0,0.0,0.0,AK
-3/1/2020,0.0768889617554967,-0.2540474569310751,0.0058740602,0.0397350993,0.0042229655,0.0609357998,AK
-4/1/2020,0.4499336774656316,-0.0895177290394423,0.0693139098,0.0198675497,0.0024131231,0.0282916213,AK
-5/1/2020,0.5425651431158636,-0.061445841330746,0.1379229323,0.0264900662,0.0025728151,0.0304678999,AK
-6/1/2020,0.472570982427512,-0.0528785331451204,0.1734022556,0.0264900662,0.0108767976,0.0631120783,AK
-7/1/2020,-0.0988389752186885,0.10034418260401,0.4814379699,0.1059602649,0.040277864,0.1828073993,AK
-8/1/2020,-0.0448062464172979,-0.0910946886173807,0.313674812,0.1258278146,0.0370130504,0.204570185,AK
-9/1/2020,0.2859518054989112,-0.1237324039554816,0.1459116541,0.1125827815,0.0532484009,0.1566920566,AK
-10/1/2020,-1.0397676571986374,-0.0680301667186983,0.0773026316,0.3112582781,0.1582192571,0.4243743199,AK
-11/1/2020,-2.600625550164835,0.1175546947848249,0.155075188,0.5894039735,0.3026162868,0.752992383,AK
-12/1/2020,-1.3362221107682224,0.3960855517982327,0.5227913534,0.5033112583,0.1744191205,0.5571273123,AK
-1/1/2021,0.4798995004198078,0.4419475776501245,1.0,0.178807947,0.0982904087,0.2176278564,AK
-2/1/2021,0.754472011098265,-0.013467999040589,0.6719924812,0.0993377483,0.0558034724,0.1523394995,AK
-3/1/2021,0.367239754609366,-0.1949718724392675,0.2319078947,0.1125827815,0.072748565,0.2241566921,AK
-4/1/2021,0.1450473160118539,0.0068054274224537,0.0838815789,0.0066225166,0.0778320928,0.289445049,AK
-5/1/2021,0.7046054673764812,-0.1861892343076694,0.0714285714,0.1390728477,0.0299511165,0.1284004353,AK
-6/1/2021,0.8707895105201184,-0.0859279073518252,0.0723684211,0.0529801325,0.0149666865,0.0957562568,AK
-7/1/2021,-0.5341674400168254,0.0757546372341634,0.0728383459,0.0794701987,0.0817711614,0.39390642,AK
-8/1/2021,-2.532770290973579,0.1943318932110959,0.1268796992,0.3245033113,0.26157545,0.8019586507,AK
-9/1/2021,-3.644984582639317,0.11367564223498,0.2814849624,0.8278145695,0.4060079669,1.0,AK
-10/1/2021,-2.603020667472522,0.1286123145520002,0.274906015,0.9470198675,0.3689594294,0.8335146899,AK
-11/1/2021,-0.6446206514350425,0.0022656209467696,0.2709116541,1.0,0.1806914662,0.4494015234,AK
-12/1/2021,0.8719795474130736,0.7393422767767901,0.4515977444,0.1059602649,0.1362261238,0.2655059848,AK
-1/1/2022,-1.295076038746597,0.1333960032490648,0.4642857143,0.2847682119,1.0,0.478781284,AK
-2/1/2022,-0.1257643606485112,-0.1778972681810162,0.4090695489,0.5165562914,0.2854316563,0.2491838955,AK
-3/1/2022,0.5975477657235448,-0.1153070504741334,0.3106203008,0.4304635762,0.1077388504,0.1284004353,AK
-4/1/2022,1.0230054373780837,0.0093372396742332,0.1604793233,0.1589403974,0.0940142126,0.0718171926,AK
-5/1/2022,0.6367619775099977,-0.1266197467050992,0.0817669173,0.2185430464,0.1257574279,0.1099020675,AK
-6/1/2022,0.7202838193469983,0.0473583399642881,0.0507518797,0.0,0.1572433617,0.1077257889,AK
-7/1/2022,0.45931284469289,-0.1535950542724174,0.0594454887,0.1523178808,0.1569505931,0.1088139282,AK
-8/1/2022,0.4328984392530274,-0.127144269356688,0.0812969925,0.1920529801,0.0951143128,0.112078346,AK
-9/1/2022,0.8327502043218972,-0.1355037931069318,0.0601503759,0.1655629139,0.0211769298,0.0402611534,AK
-10/1/2022,1.0071822806601058,-0.0427052699339421,0.0,0.0,0.0135738176,0.0293797606,AK
-11/1/2022,1.0296511151910714,-0.1072910605162968,0.0,0.0,0.0134850999,0.0054406964,AK
-12/1/2022,0.9590231403770624,-0.1361955987635917,0.0,0.0,0.0121365899,0.0087051143,AK
diff --git a/dfmdash/data/example-data/full-2019-global-2/AK/df.csv b/data/example-data/full-2019-global-2/AK/df.csv
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diff --git a/dfmdash/data/raw/pandemic/cases/COVID-19_Case_Surveillance_Public_Use_Data_with_Geography/confirmed_and_probable_case_analysis.html b/data/raw/pandemic/cases/COVID-19_Case_Surveillance_Public_Use_Data_with_Geography/confirmed_and_probable_case_analysis.html
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diff --git a/dfmdash/data/raw/pandemic/cases/JHU_ cases_time_series/JHU_case_output.csv b/data/raw/pandemic/cases/JHU_ cases_time_series/JHU_case_output.csv
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diff --git a/dfmdash/data/raw/pandemic/deaths/time_series_covid19_deaths_US_output_FIXED - time_series_covid19_deaths_US_output.csv b/data/raw/pandemic/deaths/time_series_covid19_deaths_US_output_FIXED - time_series_covid19_deaths_US_output.csv
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diff --git a/dfmdash/data/raw/pandemic/vaccinations/19_Vaccinations_in_the_United_States_Jurisdiction_output_output.csv b/data/raw/pandemic/vaccinations/19_Vaccinations_in_the_United_States_Jurisdiction_output_output.csv
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diff --git a/dfmdash/data/raw/state_mandates/UWashington/USstatesCov19distancingpolicyBETA_complete_output.csv b/data/raw/state_mandates/UWashington/USstatesCov19distancingpolicyBETA_complete_output.csv
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diff --git a/dfmdash/data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_10__2020_through_August_15__2021_by_County_by_Day_output.csv b/data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_10__2020_through_August_15__2021_by_County_by_Day_output.csv
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diff --git a/dfmdash/data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_8__2020_through_August_15__2021_by_State_by_Day_output.csv b/data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_8__2020_through_August_15__2021_by_State_by_Day_output.csv
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diff --git a/dfmdash/data/raw/state_mandates/shelter_in_place/U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___August_15__2021_by_County_by_Day_output.csv b/data/raw/state_mandates/shelter_in_place/U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___August_15__2021_by_County_by_Day_output.csv
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diff --git a/poetry.lock b/poetry.lock
index bc161df..706a5d8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3466,14 +3466,15 @@ watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""}
 snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"]
 
 [[package]]
-name = "SyntheticControlMethods"
+name = "syntheticcontrolmethods"
 version = "1.1.17"
 description = "A Python package for causal inference using various Synthetic Control Methods"
 category = "main"
 optional = false
 python-versions = "*"
-files = []
-develop = false
+files = [
+    {file = "SyntheticControlMethods-1.1.17.tar.gz", hash = "sha256:941c77427ef1a87d5cf5863047c5d0c77c280a6b3aea04de3302e56fa76fe505"},
+]
 
 [package.dependencies]
 cvxpy = ">=1.1.7"
@@ -3483,12 +3484,6 @@ numpy = ">=1.17"
 pandas = ">=1.1.2"
 scipy = ">=1.4.1"
 
-[package.source]
-type = "git"
-url = "https://github.com/jvivian/SyntheticControlMethods"
-reference = "master"
-resolved_reference = "3f496b36ed46c4e5c1e08ce6e903013e6eeb29df"
-
 [[package]]
 name = "tenacity"
 version = "8.2.3"
@@ -3849,4 +3844,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.9.7 || >3.9.7,<3.12"
-content-hash = "7a36a6a0d662b8e01066a795f9d2b7bb3e8f4dfd65ed004d58b37e4f4f654f22"
+content-hash = "a34066e9b6a9ff6b86ee9adde5d7ec4374292b496e4a55376b7e469ef87b970d"
diff --git a/pyproject.toml b/pyproject.toml
index 4231c0b..e643322 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dfmdash"
-version = "0.0.1"
+version = "1.0.0"
 description = "Repository for Covid-19 Dynamic Factor Model"
 authors = ["J. Vivian, A. Cooke, J. Fitz <fjtvivian@gmail.com>"]
 repository = "https://github.com/jvivian/DFMDash"
@@ -35,7 +35,7 @@ urllib3 = ">=1.26.16,<2.0.0"
 decorator = "^5.1.1"
 anndata = "^0.10.6"
 arviz = "^0.17.1"
-syntheticcontrolmethods = {git = "https://github.com/jvivian/SyntheticControlMethods", branch="master"}
+syntheticcontrolmethods = "^1.1.17"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.2.0"

From 6512b2c4c39a7a95e318fe0c5c1f052f6f5852c4 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Mon, 28 Oct 2024 14:29:50 -0700
Subject: [PATCH 13/15] Update pages to work with new location

---
 dfmdash/streamlit/Dynamic_Factor_Model.py            |  2 +-
 dfmdash/streamlit/pages/1_Factor_Analysis.py         |  2 +-
 .../streamlit/pages/2_Comparative_Run_Analysis.py    |  2 +-
 dfmdash/streamlit/pages/4_Synthetic_Control_Model.py | 12 ++----------
 4 files changed, 5 insertions(+), 13 deletions(-)

diff --git a/dfmdash/streamlit/Dynamic_Factor_Model.py b/dfmdash/streamlit/Dynamic_Factor_Model.py
index f3a0467..f41ffc3 100644
--- a/dfmdash/streamlit/Dynamic_Factor_Model.py
+++ b/dfmdash/streamlit/Dynamic_Factor_Model.py
@@ -47,7 +47,7 @@ def file_uploader(self) -> "DataHandler":
             st.warning("Please provide input file or check box in sidebar to see Covid-19 Example")
             st.stop()
         if load_covid_example:
-            self.df = pd.read_csv(Path(__file__).parent / "../data/processed/test_input_2state.csv", index_col=0)
+            self.df = pd.read_csv(Path(__file__).parent / "../../data/processed/test_input_2state.csv", index_col=0)
         else:
             self.df = self.load_data(file)
         c1, _, c2 = st.columns([0.25, 0.05, 0.7])
diff --git a/dfmdash/streamlit/pages/1_Factor_Analysis.py b/dfmdash/streamlit/pages/1_Factor_Analysis.py
index 5a4fb2e..252aadc 100644
--- a/dfmdash/streamlit/pages/1_Factor_Analysis.py
+++ b/dfmdash/streamlit/pages/1_Factor_Analysis.py
@@ -10,7 +10,7 @@
 pio.templates.default = "plotly_white"
 
 FILE = Path(__file__)
-EX_PATH = FILE.parent / "../../data/example-data/pandemic-only"
+EX_PATH = FILE.parent / "../../../data/example-data/pandemic-only"
 
 
 def center_title(text):
diff --git a/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py b/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
index 82932e4..9ec2452 100644
--- a/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
+++ b/dfmdash/streamlit/pages/2_Comparative_Run_Analysis.py
@@ -24,7 +24,7 @@ def center_title(text):
 
 # Parameter to runs
 FILE_PATH = Path(__file__).parent
-EXAMPLE_RESULT_DIR = FILE_PATH / "../../data/example-data"
+EXAMPLE_RESULT_DIR = FILE_PATH / "../../../data/example-data"
 run_dir = Path(st.text_input("Path directory of runs", value=EXAMPLE_RESULT_DIR))
 df = parse_multiple_runs(run_dir).sort_values("Run")
 
diff --git a/dfmdash/streamlit/pages/4_Synthetic_Control_Model.py b/dfmdash/streamlit/pages/4_Synthetic_Control_Model.py
index ba5cbe1..adb14fe 100644
--- a/dfmdash/streamlit/pages/4_Synthetic_Control_Model.py
+++ b/dfmdash/streamlit/pages/4_Synthetic_Control_Model.py
@@ -1,24 +1,16 @@
 from pathlib import Path
-import matplotlib.pyplot as plt
 
-import seaborn as sns
-import plotly.express as px
-import anndata as ann
 import numpy as np
 import pandas as pd
 import plotly.graph_objects as go
 import plotly.io as pio
 import streamlit as st
-from SyntheticControlMethods import DiffSynth, Synth
-from datetime import datetime
-
-from dfmdash.constants import FACTORS_GROUPED
-from dfmdash.covid19 import get_df, get_project_h5ad
+from SyntheticControlMethods import Synth
 
 st.set_page_config(layout="wide")
 pio.templates.default = "plotly_dark"
 
-EX_PATH = Path("./dfmdash/data/example-data/pandemic-only")
+EX_PATH = Path(__file__).parent / "../../../data/example-data/pandemic-only"
 
 
 def center_title(text):

From 6d0a841fadfc9c28be1720bc4b3b77c0d0a9d860 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Mon, 28 Oct 2024 14:34:44 -0700
Subject: [PATCH 14/15] Update README

---
 README.md | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index f5e1c8d..7b0bbfc 100644
--- a/README.md
+++ b/README.md
@@ -23,14 +23,25 @@ Designed initially for evaluating the impacts of **COVID-19**, `DFMDash` is flex
 - **Dynamic Factor Models**: Build models that combine pandemic and economic series to estimate latent variables representing pandemic intensity.
 - **Drag-and-Drop**: Drop in files - options are then dynamically generated from the input data.
 
+
 ## Installation
-There are multiple ways to run `DFMDash`,
+There are multiple ways to install and run `DFMDash`.
+
+> **Note**: Due to PyPI constraints, the example data files are stored on the GitHub repository rather than in the pip-installed package. If you wish to use `DFMDash` with the provided example data, please clone the repository and follow the installation steps below.
 
 ### Prerequisites
 
 - Python 3.10+ is required.
 - Tested environments: **Ubuntu**, **WSL2 (Windows)**, **MacOS** (M1 compatible).
 
+### Option 0: Using Pip
+> **Advanced:** If you have a Python environment set up, prefer to install via `pip` and _do not_ want/need the example data.
+
+1. Install the package:
+   ```bash
+   pip install dfmdash
+   ```
+
 ### Option 1: Using Poetry
 
 0. [Install Poetry](https://python-poetry.org/)

From be6471eae9f3d367858b24b2ac9a14dd4f26ce32 Mon Sep 17 00:00:00 2001
From: jvivian <jtvivian@gmail.com>
Date: Mon, 28 Oct 2024 14:45:48 -0700
Subject: [PATCH 15/15] Update tests / paths etc

---
 coverage.xml                |  2 +-
 data/processed/df_paths.txt | 66 ++++++++++++++++++-------------------
 dfmdash/covid19.py          |  2 +-
 tests/test_cli.py           |  4 +--
 tests/test_covid19.py       | 10 +++---
 tests/test_dfm.py           |  4 ++-
 tests/test_io.py            | 14 ++++----
 tests/test_processing.py    |  2 +-
 tests/test_results.py       |  2 +-
 9 files changed, 54 insertions(+), 52 deletions(-)

diff --git a/coverage.xml b/coverage.xml
index 1ae6ff6..d6bfc42 100644
--- a/coverage.xml
+++ b/coverage.xml
@@ -1,5 +1,5 @@
 <?xml version="1.0" ?>
-<coverage version="7.4.3" timestamp="1729480086814" lines-valid="319" lines-covered="302" line-rate="0.9467" branches-valid="96" branches-covered="82" branch-rate="0.8542" complexity="0">
+<coverage version="7.4.3" timestamp="1730151898557" lines-valid="319" lines-covered="302" line-rate="0.9467" branches-valid="96" branches-covered="82" branch-rate="0.8542" complexity="0">
 	<!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.4.3 -->
 	<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
 	<sources>
diff --git a/data/processed/df_paths.txt b/data/processed/df_paths.txt
index d125448..9b6df4b 100644
--- a/data/processed/df_paths.txt
+++ b/data/processed/df_paths.txt
@@ -1,33 +1,33 @@
-data/raw/economic/GDP/gdp_current_dollars.csv
-data/raw/economic/UI/ar203_output.csv
-data/raw/economic/consumption/consumption.csv
-data/raw/economic/consumption_durable_goods/consumption_durable_goods.csv
-data/raw/economic/consumption_nondurable_goods/consumption_nondurable_goods.csv
-data/raw/economic/consumption_services/consumption_services.csv
-data/raw/economic/consumption_total_goods/consumption_total_goods.csv
-data/raw/economic/employment/CE16OV_output.csv
-data/raw/economic/employment/PAYEMS_output.csv
-data/raw/economic/inflation/CPIAUCSL_output.csv
-data/raw/economic/inflation/PCEPILFE_output.csv
-data/raw/economic/inflation/PCEPI_output.csv
-data/raw/economic/interest_rates/rates_output.csv
-data/raw/economic/investment/K1TTOTL1ES000_output.csv
-data/raw/economic/investment/RPFI_output.csv
-data/raw/economic/productivity/labor-productivity-by-state-and-region_output.csv
-data/raw/economic/unemployment/ststdsadata_output.csv
-data/raw/intervention/american_rescue_plan/fiscalrecoveryfunds-statefunding1-CSV_output.csv
-data/raw/intervention/cares/cares_state_allocation_output.csv
-data/raw/intervention/ppp/PPP_states_and_territories_output.csv
-data/raw/pandemic/cases/CDC_state_cases_and_deaths_output.csv
-data/raw/pandemic/cases/JHU_time_series_cases_output.csv
-data/raw/pandemic/deaths/time_series_covid19_deaths_US_output_FIXED - time_series_covid19_deaths_US_output.csv
-data/raw/pandemic/vaccinations/19_Vaccinations_in_the_United_States_Jurisdiction_output_output.csv
-data/raw/pandemic/vaccinations/time_series_covid19_vaccine_us_output.csv
-data/raw/state_mandates/UWashington/USstatesCov19distancingpolicyBETA_complete_output.csv
-data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_8__2020_through_August_15__2021_by_State_by_Day_output.csv
-data/raw/economic/inflation/pcpiMvMd.csv
-data/raw/economic/interest_rates/FEDFUNDS_output.csv
-data/raw/economic/inflation/pcpiMvMd.csv
-data/raw/economic/interest_rates/FEDFUNDS_output.csv
-data/raw/state_mandates/shelter_in_place/U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___August_15__2021_by_County_by_Day_output.csv
-data/raw/pandemic/cases/CDC_Case_Surveillance.csv
+../data/raw/economic/GDP/gdp_current_dollars.csv
+../data/raw/economic/UI/ar203_output.csv
+../data/raw/economic/consumption/consumption.csv
+../data/raw/economic/consumption_durable_goods/consumption_durable_goods.csv
+../data/raw/economic/consumption_nondurable_goods/consumption_nondurable_goods.csv
+../data/raw/economic/consumption_services/consumption_services.csv
+../data/raw/economic/consumption_total_goods/consumption_total_goods.csv
+../data/raw/economic/employment/CE16OV_output.csv
+../data/raw/economic/employment/PAYEMS_output.csv
+../data/raw/economic/inflation/CPIAUCSL_output.csv
+../data/raw/economic/inflation/PCEPILFE_output.csv
+../data/raw/economic/inflation/PCEPI_output.csv
+../data/raw/economic/interest_rates/rates_output.csv
+../data/raw/economic/investment/K1TTOTL1ES000_output.csv
+../data/raw/economic/investment/RPFI_output.csv
+../data/raw/economic/productivity/labor-productivity-by-state-and-region_output.csv
+../data/raw/economic/unemployment/ststdsadata_output.csv
+../data/raw/intervention/american_rescue_plan/fiscalrecoveryfunds-statefunding1-CSV_output.csv
+../data/raw/intervention/cares/cares_state_allocation_output.csv
+../data/raw/intervention/ppp/PPP_states_and_territories_output.csv
+../data/raw/pandemic/cases/CDC_state_cases_and_deaths_output.csv
+../data/raw/pandemic/cases/JHU_time_series_cases_output.csv
+../data/raw/pandemic/deaths/time_series_covid19_deaths_US_output_FIXED - time_series_covid19_deaths_US_output.csv
+../data/raw/pandemic/vaccinations/19_Vaccinations_in_the_United_States_Jurisdiction_output_output.csv
+../data/raw/pandemic/vaccinations/time_series_covid19_vaccine_us_output.csv
+../data/raw/state_mandates/UWashington/USstatesCov19distancingpolicyBETA_complete_output.csv
+../data/raw/state_mandates/mask_mandates/U.S._State_and_Territorial_Public_Mask_Mandates_From_April_8__2020_through_August_15__2021_by_State_by_Day_output.csv
+../data/raw/economic/inflation/pcpiMvMd.csv
+../data/raw/economic/interest_rates/FEDFUNDS_output.csv
+../data/raw/economic/inflation/pcpiMvMd.csv
+../data/raw/economic/interest_rates/FEDFUNDS_output.csv
+../data/raw/state_mandates/shelter_in_place/U.S._State_and_Territorial_Stay-At-Home_Orders__March_15__2020___August_15__2021_by_County_by_Day_output.csv
+../data/raw/pandemic/cases/CDC_Case_Surveillance.csv
diff --git a/dfmdash/covid19.py b/dfmdash/covid19.py
index 5657ea2..6a43b69 100644
--- a/dfmdash/covid19.py
+++ b/dfmdash/covid19.py
@@ -10,7 +10,7 @@
 from dfmdash.constants import NAME_MAP
 
 ROOT_DIR = Path(__file__).parent.absolute()
-DATA_DIR = ROOT_DIR / "data/processed"
+DATA_DIR = ROOT_DIR / "../data/processed"
 
 
 def _get_raw_df() -> pd.DataFrame:
diff --git a/tests/test_cli.py b/tests/test_cli.py
index 9b3cb32..ec348c3 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -1,8 +1,5 @@
-import shutil
-import os
 from pathlib import Path
 
-import pytest
 from typer.testing import CliRunner
 
 from dfmdash.cli import app
@@ -10,6 +7,7 @@
 
 runner = CliRunner()
 
+
 # TODO: Change to be test.h5ad with small state subset
 def test_run_dfm(tmpdir):
     result = runner.invoke(app, ["run", str(DATA_DIR / "test.h5ad"), str(tmpdir), "--batch", "State"])
diff --git a/tests/test_covid19.py b/tests/test_covid19.py
index 7cf2f4e..6374bab 100644
--- a/tests/test_covid19.py
+++ b/tests/test_covid19.py
@@ -3,14 +3,14 @@
 
 from dfmdash.covid19 import (
     _get_raw_df,
-    get_raw,
-    get_df,
-    get_project_h5ad,
-    get_govt_fund_dist,
+    add_datetime,
     adjust_inflation,
     adjust_pandemic_response,
-    add_datetime,
     fix_names,
+    get_df,
+    get_govt_fund_dist,
+    get_project_h5ad,
+    get_raw,
 )
 
 
diff --git a/tests/test_dfm.py b/tests/test_dfm.py
index 43c7c8d..4883a91 100644
--- a/tests/test_dfm.py
+++ b/tests/test_dfm.py
@@ -1,9 +1,11 @@
 import shutil
 import unittest
 from pathlib import Path
-from dfmdash.dfm import ModelRunner
+
 from anndata import AnnData
+
 from dfmdash.covid19 import get_project_h5ad
+from dfmdash.dfm import ModelRunner
 
 COLUMNS = ["PCE", "CPIU", "Hosp1", "Hosp2"]
 STATES = ["AK", "CA"]
diff --git a/tests/test_io.py b/tests/test_io.py
index 7522a1b..a3c0db8 100644
--- a/tests/test_io.py
+++ b/tests/test_io.py
@@ -1,18 +1,20 @@
 import shutil
-import pandas as pd
-import numpy as np
 from pathlib import Path
+
+import numpy as np
+import pandas as pd
+import pytest
 from anndata import AnnData
-from dfmdash.io import DataLoader
+
 from dfmdash.covid19 import DATA_DIR
-import pytest
+from dfmdash.io import DataLoader
 
 
 @pytest.fixture()
 def dfs():
     data = pd.read_csv(DATA_DIR / "data.csv")
-    factors = pd.read_csv(DATA_DIR / "factors.csv", index_col=0)
-    metadata = pd.read_csv(DATA_DIR / "metadata.csv", index_col=0)
+    factors = pd.read_csv(DATA_DIR / "../factors.csv", index_col=0)
+    metadata = pd.read_csv(DATA_DIR / "../metadata.csv", index_col=0)
     return data, factors, metadata
 
 
diff --git a/tests/test_processing.py b/tests/test_processing.py
index 2b9d2ae..204b886 100644
--- a/tests/test_processing.py
+++ b/tests/test_processing.py
@@ -1,8 +1,8 @@
 from functools import reduce
+from pathlib import Path
 
 import pandas as pd
 import pytest
-from pathlib import Path
 
 from dfmdash.covid19 import get_project_h5ad
 from dfmdash.processing import DataProcessor, is_constant
diff --git a/tests/test_results.py b/tests/test_results.py
index a03b7cd..4e7a96e 100644
--- a/tests/test_results.py
+++ b/tests/test_results.py
@@ -7,7 +7,7 @@
 
 @pytest.fixture
 def runs_dir() -> pd.DataFrame:
-    return ROOT_DIR / "data" / "example-data"
+    return ROOT_DIR / "../data" / "example-data"
 
 
 @pytest.fixture