diff --git a/dashboard/.streamlit/config.toml b/dashboard/.streamlit/config.toml
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--- /dev/null
+++ b/dashboard/.streamlit/config.toml
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+[theme]
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+
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diff --git a/dashboard/F1-Score.png b/dashboard/F1-Score.png
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diff --git a/dashboard/__pycache__/prediction.cpython-312.pyc b/dashboard/__pycache__/prediction.cpython-312.pyc
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diff --git a/dashboard/__pycache__/visuals.cpython-311.pyc b/dashboard/__pycache__/visuals.cpython-311.pyc
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diff --git a/dashboard/alzheimers_disease_data.csv b/dashboard/alzheimers_disease_data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..43a1e73b740e0d477cba55d41ceafc1b06611a4e
--- /dev/null
+++ b/dashboard/alzheimers_disease_data.csv
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diff --git a/dashboard/app.py b/dashboard/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..d35a5fa316f18fd511d3bd8fdf4073af9b0c829b
--- /dev/null
+++ b/dashboard/app.py
@@ -0,0 +1,57 @@
+import streamlit as st
+import pandas as pd
+from overview import data_overview
+from filtered import selected_data
+from model_result import result
+from prediction import predict
+st.set_page_config(page_title="Alzheimer's Dashboard", layout="wide")
+
+# Load Data
+df_full = pd.read_csv("alzheimers_disease_data.csv")  
+
+# Sidebar Navigation
+# st.sidebar.title("Navigation")
+# page = st.sidebar.radio("Tabs", ["Dataset Overview", "Filtered Data Insight", "Model Results", "Make a Prediction"])
+
+# Set default page
+if "page" not in st.session_state:
+    st.session_state.page = "Dataset Overview"
+
+st.sidebar.markdown("## Tabs")
+if st.sidebar.button("Dataset Overview"):
+    st.session_state.page = "Dataset Overview"
+if st.sidebar.button("Filtered Data Insight"):
+    st.session_state.page = "Filtered Data Insight"
+if st.sidebar.button("Model Results"):
+    st.session_state.page = "Model Results"
+if st.sidebar.button("Make a Prediction"):
+    st.session_state.page = "Make a Prediction"
+
+# Display selected page
+st.title(f"🧠{st.session_state.page}")
+
+# if page == "Dataset Overview":
+#     data_overview()
+
+# elif page == "Filtered Data Insight":
+#     selected_data()
+
+# elif page == "Model Results":
+#     result()
+
+# elif page == "Make a Prediction":
+#     predict()
+
+
+if st.session_state.page == "Dataset Overview":
+    data_overview()
+
+elif st.session_state.page == "Filtered Data Insight":
+    selected_data()
+
+elif st.session_state.page == "Model Results":
+    result()
+
+elif st.session_state.page == "Make a Prediction":
+    predict()
+
diff --git a/dashboard/categorical.png b/dashboard/categorical.png
new file mode 100644
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diff --git a/dashboard/classification_dt.png b/dashboard/classification_dt.png
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diff --git a/dashboard/classification_rf.png b/dashboard/classification_rf.png
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diff --git a/dashboard/classification_svc.png b/dashboard/classification_svc.png
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diff --git a/dashboard/confusion_dt.png b/dashboard/confusion_dt.png
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diff --git a/dashboard/confusion_svc.png b/dashboard/confusion_svc.png
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diff --git a/dashboard/dt_model.pkl b/dashboard/dt_model.pkl
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diff --git a/dashboard/filtered.py b/dashboard/filtered.py
new file mode 100644
index 0000000000000000000000000000000000000000..b04db93eaa2d4cc1462e8b343e4c14071a61b192
--- /dev/null
+++ b/dashboard/filtered.py
@@ -0,0 +1,37 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import pickle
+from visuals import plot_corr_matrix, plot_feature_distributions_by_diagnosis
+
+df_filtered = pd.read_csv("filtered_selected_features.csv")
+df_full = pd.read_csv("alzheimers_disease_data.csv")  # assuming this is your original dataset
+feature_cols = df_filtered.columns[:-1]
+
+def selected_data():
+    st.title("Filtered Data Insight")
+    st.subheader("Dataset View")
+    dataset_choice = st.radio("Select Dataset", ["Filtered Dataset (Selected Features)", "Full Dataset"])
+
+    st.write("Diagnosis Information: ")
+    st.write("Diagnosis status for Alzheimer's Disease, where 0 indicates No and 1 indicates Yes.")
+
+    if dataset_choice == "Filtered Dataset (Selected Features)":
+        st.subheader("Filtered Dataset")
+        st.dataframe(df_filtered)
+    else:
+        st.subheader("Full Dataset")
+        st.dataframe(df_full)
+
+    with st.expander("Show Full Correlation Matrix"):
+        fig = plot_corr_matrix(df_filtered)
+        st.pyplot(fig)
+
+    st.subheader(" Feature Distributions by Diagnosis (Filtered Dataset)")
+    with st.expander("Show all feature distribution plots"):
+        plots = plot_feature_distributions_by_diagnosis(df_filtered)
+        for fig in plots:
+            st.pyplot(fig)
+
diff --git a/dashboard/filtered_selected_features.csv b/dashboard/filtered_selected_features.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e561053f2299b48fffb44908159e61e506a388c5
--- /dev/null
+++ b/dashboard/filtered_selected_features.csv
@@ -0,0 +1,2150 @@
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diff --git a/dashboard/metrics.csv b/dashboard/metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a357847465a41e59d13fc40dc07e6369289e32ae
--- /dev/null
+++ b/dashboard/metrics.csv
@@ -0,0 +1,4 @@
+Model,Accuracy,Precision,Recall,F1-Score
+Random Forest,0.9534883720930233,0.9538906924045891,0.9534883720930233,0.9531150398295376
+SVC,0.9279069767441861,0.927771792161327,0.9279069767441861,0.9273908901898491
+Decision Tree,0.9465116279069767,0.9466651081476662,0.9465116279069767,0.9461287249795657
diff --git a/dashboard/model_result.py b/dashboard/model_result.py
new file mode 100644
index 0000000000000000000000000000000000000000..5758b500329ef64dd0525c708507fb61db5aac95
--- /dev/null
+++ b/dashboard/model_result.py
@@ -0,0 +1,47 @@
+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+from PIL import Image
+
+def result():
+    st.title("📊 Model Performance Overview")
+
+    # Load and display model metrics
+    model_metrics = pd.read_csv("metrics.csv")
+    st.dataframe(model_metrics)
+
+    # Metric Bar Chart
+    metric = st.selectbox("Select Comparison to Visualize", ["Accuracy", "Precision", "Recall", "F1-Score"])
+    if metric == "Accuracy":
+        st.image(Image.open("Accuracy.png"))
+    elif metric == "Precision":
+        st.image(Image.open("Precision.png"))
+    elif metric == "Recall":
+        st.image(Image.open("Recall.png"))
+    elif metric == "F1-Score":
+        st.image(Image.open("F1-Score.png"))
+    # fig, ax = plt.subplots()
+    # ax.bar(model_metrics["Model"], model_metrics[metric], color="skyblue")
+    # ax.set_ylabel(metric)
+    # ax.set_title(f"{metric} Comparison")
+    # st.pyplot(fig)
+
+    st.markdown("---")
+    st.subheader("📉 Detailed Model Visualizations")
+
+    # Show saved plots
+    st.subheader("Decision Tree Performance")
+    st.image(Image.open("classification_dt.png"), caption="Decision Tree - Classification Report")
+    st.image(Image.open("confusion_dt.png"), caption="Decision Tree - Confusion Matrix")
+
+    st.subheader("SVC Performance")
+    st.image(Image.open("classification_svc.png"), caption="SVC - Classification Report")
+    st.image(Image.open("confusion_svc.png"), caption="SVC - Confusion Matrix")
+
+    st.subheader("Random Forest Performance")
+    st.image(Image.open("classification_rf.png"), caption="Random Forest - Classification Report")
+    st.image(Image.open("confusion_rf.png"), caption="Random Forest - Confusion Matrix")
+
+    # # Correlation Matrix
+    # st.subheader("📌 Correlation Matrix of Selected Features")
+    # st.image(Image.open("correlation_matrix.png"), caption="Feature Correlation Matrix")
\ No newline at end of file
diff --git a/dashboard/numerical.png b/dashboard/numerical.png
new file mode 100644
index 0000000000000000000000000000000000000000..c8de7e1d483980131833b4318de9caa7f16d11b8
Binary files /dev/null and b/dashboard/numerical.png differ
diff --git a/dashboard/overview.py b/dashboard/overview.py
new file mode 100644
index 0000000000000000000000000000000000000000..f858942d665f33ae83afe03fd55183b34dd6d28c
--- /dev/null
+++ b/dashboard/overview.py
@@ -0,0 +1,153 @@
+
+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import pickle
+from visuals import load_full_data, create_grouped_features, plot_correlation_with_diagnosis, plot_distribution, plot_corr_matrix, plot_feature_distributions_by_diagnosis
+
+df_filtered = pd.read_csv("filtered_selected_features.csv")
+df_full = pd.read_csv("alzheimers_disease_data.csv")  # assuming this is your original dataset
+feature_cols = df_filtered.columns[:-1]
+
+def data_overview():
+    st.title("📌 Dataset Description & Insights")
+    st.subheader("Dataset View")
+    dataset_choice = st.radio("Select Dataset", ["Filtered Dataset (Selected Features)", "Full Dataset"])
+
+    st.write("Diagnosis Information: ")
+    st.write("Diagnosis status for Alzheimer's Disease, where 0 indicates No and 1 indicates Yes.")
+
+    if dataset_choice == "Filtered Dataset (Selected Features)":
+        st.subheader("Filtered Dataset")
+        st.dataframe(df_filtered)
+    else:
+        st.subheader("Full Dataset")
+        st.dataframe(df_full)
+
+    st.subheader("Diagnosis Distribution")
+    fig = plot_distribution(df_full)
+    st.pyplot(fig)
+
+    st.subheader("Feature distribution")
+    st.image(image= "categorical.png")
+    st.image(image= "numerical.png")
+
+    # Load full dataset and grouped features
+    df_full_cleaned = load_full_data()
+    groups = create_grouped_features(df_full_cleaned)
+    y = df_full_cleaned['Diagnosis']
+
+    for group_name, group_df in groups.items():
+        st.markdown(f"## 📌 {group_name} Features")
+
+        col1, col2 = st.columns([1, 2])  # [text column, graph column]
+
+        with col1:
+            st.markdown(f"""
+                    **Description:**
+                    - These features belong to the **{group_name.lower()}** category.
+                    - Correlations are calculated against the `Diagnosis` variable.
+                    - Higher bars = stronger relationship with Alzheimer's diagnosis.
+                    """)
+            if group_name == "Demographic":
+                st.write("""
+            **Age:** The age of the patients ranges from 60 to 90 years.
+
+            **Gender:** Gender of the patients, where 0 represents Male and 1 represents Female.
+
+            **Ethnicity:** The ethnicity of the patients, coded as:
+            - 0: Caucasian
+            - 1: African American
+            - 2: Asian
+            - 3: Other
+
+            **EducationLevel:** Education level coded as:
+            - 0: None
+            - 1: High School
+            - 2: Bachelor's
+            - 3: Higher
+            """)
+                
+            elif group_name == "Cognitive":
+                st.write(""" Cognitive and Functional Assessments
+
+        MMSE: Mini-Mental State Examination score, ranging from 0 to 30. Lower scores indicate cognitive impairment.
+
+        FunctionalAssessment: Functional assessment score, ranging from 0 to 10. Lower scores indicate greater impairment.
+
+        MemoryComplaints: Presence of memory complaints, where 0 indicates No and 1 indicates Yes.
+
+        BehavioralProblems: Presence of behavioral problems, where 0 indicates No and 1 indicates Yes.
+
+        ADL: Activities of Daily Living score, ranging from 0 to 10. Lower scores indicate greater impairment.""")
+
+
+            elif group_name == "Lifestyle":
+                st.write("""Lifestyle Factors
+
+        BMI: Body Mass Index of the patients, ranging from 15 to 40.
+
+        Smoking: Smoking status, where 0 indicates No and 1 indicates Yes.
+
+        AlcoholConsumption: Weekly alcohol consumption in units, ranging from 0 to 20.
+
+        PhysicalActivity: Weekly physical activity in hours, ranging from 0 to 10.
+
+        DietQuality: Diet quality score, ranging from 0 to 10.
+
+        SleepQuality: Sleep quality score, ranging from 4 to 10.""")
+                    
+            elif group_name == "Clinical":
+                st.write("""Clinical Measurements
+
+        SystolicBP: Systolic blood pressure, ranging from 90 to 180 mmHg.
+
+        DiastolicBP: Diastolic blood pressure, ranging from 60 to 120 mmHg.
+
+        CholesterolTotal: Total cholesterol levels, ranging from 150 to 300 mg/dL.
+
+        CholesterolLDL: Low-density lipoprotein cholesterol levels, ranging from 50 to 200 mg/dL.
+
+        CholesterolHDL: High-density lipoprotein cholesterol levels, ranging from 20 to 100 mg/dL.
+
+        CholesterolTriglycerides: Triglycerides levels, ranging from 50 to 400 mg/dL.""")
+
+            elif group_name == "Medical":
+                st.write("""Medical History
+
+        FamilyHistoryAlzheimers: Family history of Alzheimer's Disease, where 0 indicates No and 1 indicates Yes.
+
+        CardiovascularDisease: Presence of cardiovascular disease, where 0 indicates No and 1 indicates Yes.
+
+        Diabetes: Presence of diabetes, where 0 indicates No and 1 indicates Yes.
+
+        Depression: Presence of depression, where 0 indicates No and 1 indicates Yes.
+
+        HeadInjury: History of head injury, where 0 indicates No and 1 indicates Yes.
+
+        Hypertension: Presence of hypertension, where 0 indicates No and 1 indicates Yes.""")
+
+            elif group_name == "Symptoms":
+                st.write("""Symptoms
+
+        Confusion: Presence of confusion, where 0 indicates No and 1 indicates Yes.
+
+        Disorientation: Presence of disorientation, where 0 indicates No and 1 indicates Yes.
+
+        PersonalityChanges: Presence of personality changes, where 0 indicates No and 1 indicates Yes.
+
+        DifficultyCompletingTasks: Presence of difficulty completing tasks, where 0 indicates No and 1 indicates Yes.
+
+        Forgetfulness: Presence of forgetfulness, where 0 indicates No and 1 indicates Yes.""")
+
+
+                    
+        with col2:
+            fig = plot_correlation_with_diagnosis(group_df, y, group_name)
+            st.pyplot(fig)
+
+    with st.expander("Show Full Correlation Matrix"):
+        fig = plot_corr_matrix(df_full)
+        st.pyplot(fig)
\ No newline at end of file
diff --git a/dashboard/prediction.py b/dashboard/prediction.py
new file mode 100644
index 0000000000000000000000000000000000000000..c48035eb4d1c83d3153c1aca73027010ab3c2e69
--- /dev/null
+++ b/dashboard/prediction.py
@@ -0,0 +1,49 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+import pickle
+
+# Load models & scaler
+with open("rf_model.pkl", "rb") as f:
+    rf_model = pickle.load(f)
+with open("svc_model.pkl", "rb") as f:
+    svc_model = pickle.load(f)
+with open("dt_model.pkl", "rb") as f:
+    dt_model = pickle.load(f)
+with open("scaler.pkl", "rb") as f:
+    scaler = pickle.load(f)
+
+models = {
+    "Random Forest": rf_model,
+    "Support Vector Classifier": svc_model,
+    "Decision Tree": dt_model
+}
+
+df_filtered = pd.read_csv("filtered_selected_features.csv")
+feature_cols = df_filtered.columns[:-1]
+
+def predict():
+    st.title("Predict Alzheimer's Diagnosis")
+
+    model_name = st.selectbox("Choose a Model", list(models.keys()))
+    selected_model = models[model_name]
+    st.subheader("Helful tip to input data ;)")
+    st.write("Behavioural Problems is between 0 and 1, 0 indicates No and 1 indicates Yes")
+    st.write("Gender is between 0 and 1, 0 indicates Male and 1 indicates Female")
+    st.write("Presence of memory complaints, where 0 indicates No and 1 indicates Yes")
+    st.write("Functional assessment score, ranging from 0 to 10. Lower scores indicate greater impairment")
+    st.write("Activities of Daily Living score, ranging from 0 to 10. Lower scores indicate greater impairment")
+    st.write("Mini-Mental State Examination score, ranging from 0 to 30. Lower scores indicate cognitive impairment")
+    
+    user_input = []
+    for col in feature_cols:
+        val = st.number_input(f"{col}", step=0.1)
+        user_input.append(val)
+
+    if st.button("Predict"):
+        input_array = np.array(user_input).reshape(1, -1)
+        scaled_input = scaler.transform(input_array)
+        prediction = selected_model.predict(scaled_input)[0]
+        st.success(f"Prediction with {model_name}: {"🟢 Positive (Alzheimers Present)" if prediction == 1 else "🔴 Negative (No Alzhemeirs)"}")
\ No newline at end of file
diff --git a/dashboard/rf_model.pkl b/dashboard/rf_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..bbfdc3edd3deff399a1e6d64c4e20aa3543f110c
Binary files /dev/null and b/dashboard/rf_model.pkl differ
diff --git a/dashboard/scaler.pkl b/dashboard/scaler.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..f48530af7524e84496bc2f0ff347f6056badf0b9
Binary files /dev/null and b/dashboard/scaler.pkl differ
diff --git a/dashboard/svc_model.pkl b/dashboard/svc_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..1211b96082066ce1860ec90dee3b7c028dedb81c
Binary files /dev/null and b/dashboard/svc_model.pkl differ
diff --git a/dashboard/visuals.py b/dashboard/visuals.py
new file mode 100644
index 0000000000000000000000000000000000000000..32c4acfc450a0d43fda855202c9c0394e3391e76
--- /dev/null
+++ b/dashboard/visuals.py
@@ -0,0 +1,71 @@
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+import numpy as np
+
+def load_full_data():
+    df = pd.read_csv("alzheimers_disease_data.csv")
+    df.drop(['DoctorInCharge', 'PatientID'], axis=1, inplace=True)
+    return df
+
+def create_grouped_features(df):
+    return {
+        "Demographic": df[['Age','Gender','Ethnicity','EducationLevel']],
+        "Lifestyle": df[['AlcoholConsumption','BMI','Smoking','PhysicalActivity', 'DietQuality', 'SleepQuality']],
+        "Medical": df[['FamilyHistoryAlzheimers', 'CardiovascularDisease', 'Diabetes', 'Depression','HeadInjury','Hypertension']],
+        "Symptoms": df[['Confusion', 'Disorientation', 'PersonalityChanges', 'DifficultyCompletingTasks','Forgetfulness']],
+        "Clinical": df[['SystolicBP', 'DiastolicBP', 'CholesterolTotal', 'CholesterolLDL','CholesterolHDL','CholesterolTriglycerides']],
+        "Cognitive": df[['MMSE', 'FunctionalAssessment','MemoryComplaints', 'BehavioralProblems', 'ADL']]
+    }
+
+def plot_correlation_with_diagnosis(group_df, y, group_name):
+    dfy = pd.concat([group_df, y], axis=1)
+    correlation_matrix = dfy.corr()
+    correlationy = correlation_matrix['Diagnosis'].drop('Diagnosis').sort_values(ascending=False)
+
+    fig, ax = plt.subplots(figsize=(10, 5))
+    sns.barplot(x=correlationy.index, y=correlationy.values, palette="coolwarm", ax=ax)
+    ax.set_title(f"Correlation with Diagnosis - {group_name}")
+    ax.set_ylabel("Correlation Coefficient")
+    ax.set_xlabel("Features")
+    plt.xticks(rotation=45)
+    return fig
+
+
+def plot_distribution(df):
+    fig, ax = plt.subplots()
+    sns.countplot(x="Diagnosis", data=df, ax=ax)
+    ax.set_title("Distribution of Diagnosis")
+    ax.set_xlabel("Diagnosis (0 = No, 1 = Yes)")
+    ax.set_ylabel("Count")
+    return fig
+
+def plot_corr_matrix(df):
+    # Keep only numeric columns
+    df_numeric = df.select_dtypes(include=[np.number])
+
+    correlation_matrix = df_numeric.corr()
+    fig, ax = plt.subplots(figsize=(25, 10))
+    sns.heatmap(correlation_matrix, annot=True, cmap="coolwarm", fmt=".2f", linewidths=0.5, ax=ax)
+    ax.set_title("Correlation Matrix")
+    return fig
+
+def plot_feature_distributions_by_diagnosis(df):
+    # Identify features (everything except 'Diagnosis')
+    features = [col for col in df.columns if col != "Diagnosis"]
+
+    plots = []
+    for feature in features:
+        fig, ax = plt.subplots(figsize=(8, 5))
+        
+        if df[feature].nunique() > 10:
+            # Assume it's continuous — use violinplot
+            sns.violinplot(x='Diagnosis', y=feature, data=df, ax=ax, palette='Set2')
+        else:
+            # Categorical or few unique values — use countplot
+            sns.countplot(x=feature, hue='Diagnosis', data=df, ax=ax, palette='Set2')
+
+        ax.set_title(f"{feature} Distribution by Diagnosis")
+        plots.append(fig)
+    
+    return plots
\ No newline at end of file
diff --git a/dt_model.pkl b/dt_model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..c2b9e831ad114a0ec53f3b80054c192d7ab577d0
Binary files /dev/null and b/dt_model.pkl differ
diff --git a/metrics.csv b/metrics.csv
new file mode 100644
index 0000000000000000000000000000000000000000..449c78f6a94bc4055c383f1627ebf5c2072f7d84
--- /dev/null
+++ b/metrics.csv
@@ -0,0 +1,3 @@
+Model,Accuracy,Precision,Recall,F1-Score
+Random Forest,0.9534883720930233,0.9538906924045891,0.9534883720930233,0.9531150398295376
+SVC,0.9279069767441861,0.927771792161327,0.9279069767441861,0.9273908901898491
diff --git a/models copy.ipynb b/models copy.ipynb
deleted file mode 100644
index 8203ec476afd981d61eed2a4ed4e18752982191f..0000000000000000000000000000000000000000
--- a/models copy.ipynb	
+++ /dev/null
@@ -1,960 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "import ast\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "from sklearn.ensemble import RandomForestClassifier\n",
-    "from sklearn.tree import DecisionTreeClassifier\n",
-    "from sklearn.model_selection import cross_val_score\n",
-    "from sklearn.model_selection import RandomizedSearchCV\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.model_selection import cross_val_score, KFold\n",
-    "from sklearn.svm import SVC\n",
-    "from scipy.stats import randint"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "  <thead>\n",
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-       "      <th>PatientID</th>\n",
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-       "      <th>Forgetfulness</th>\n",
-       "      <th>Diagnosis</th>\n",
-       "      <th>DoctorInCharge</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
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-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2149 rows × 35 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      PatientID  Age  Gender  Ethnicity  EducationLevel        BMI  Smoking  \\\n",
-       "0          4751   73       0          0               2  22.927749        0   \n",
-       "1          4752   89       0          0               0  26.827681        0   \n",
-       "2          4753   73       0          3               1  17.795882        0   \n",
-       "3          4754   74       1          0               1  33.800817        1   \n",
-       "4          4755   89       0          0               0  20.716974        0   \n",
-       "...         ...  ...     ...        ...             ...        ...      ...   \n",
-       "2144       6895   61       0          0               1  39.121757        0   \n",
-       "2145       6896   75       0          0               2  17.857903        0   \n",
-       "2146       6897   77       0          0               1  15.476479        0   \n",
-       "2147       6898   78       1          3               1  15.299911        0   \n",
-       "2148       6899   72       0          0               2  33.289738        0   \n",
-       "\n",
-       "      AlcoholConsumption  PhysicalActivity  DietQuality  ...  \\\n",
-       "0              13.297218          6.327112     1.347214  ...   \n",
-       "1               4.542524          7.619885     0.518767  ...   \n",
-       "2              19.555085          7.844988     1.826335  ...   \n",
-       "3              12.209266          8.428001     7.435604  ...   \n",
-       "4              18.454356          6.310461     0.795498  ...   \n",
-       "...                  ...               ...          ...  ...   \n",
-       "2144            1.561126          4.049964     6.555306  ...   \n",
-       "2145           18.767261          1.360667     2.904662  ...   \n",
-       "2146            4.594670          9.886002     8.120025  ...   \n",
-       "2147            8.674505          6.354282     1.263427  ...   \n",
-       "2148            7.890703          6.570993     7.941404  ...   \n",
-       "\n",
-       "      MemoryComplaints  BehavioralProblems       ADL  Confusion  \\\n",
-       "0                    0                   0  1.725883          0   \n",
-       "1                    0                   0  2.592424          0   \n",
-       "2                    0                   0  7.119548          0   \n",
-       "3                    0                   1  6.481226          0   \n",
-       "4                    0                   0  0.014691          0   \n",
-       "...                ...                 ...       ...        ...   \n",
-       "2144                 0                   0  4.492838          1   \n",
-       "2145                 0                   1  9.204952          0   \n",
-       "2146                 0                   0  5.036334          0   \n",
-       "2147                 0                   0  3.785399          0   \n",
-       "2148                 0                   1  8.327563          0   \n",
-       "\n",
-       "      Disorientation  PersonalityChanges  DifficultyCompletingTasks  \\\n",
-       "0                  0                   0                          1   \n",
-       "1                  0                   0                          0   \n",
-       "2                  1                   0                          1   \n",
-       "3                  0                   0                          0   \n",
-       "4                  0                   1                          1   \n",
-       "...              ...                 ...                        ...   \n",
-       "2144               0                   0                          0   \n",
-       "2145               0                   0                          0   \n",
-       "2146               0                   0                          0   \n",
-       "2147               0                   0                          0   \n",
-       "2148               1                   0                          0   \n",
-       "\n",
-       "      Forgetfulness  Diagnosis  DoctorInCharge  \n",
-       "0                 0          0       XXXConfid  \n",
-       "1                 1          0       XXXConfid  \n",
-       "2                 0          0       XXXConfid  \n",
-       "3                 0          0       XXXConfid  \n",
-       "4                 0          0       XXXConfid  \n",
-       "...             ...        ...             ...  \n",
-       "2144              0          1       XXXConfid  \n",
-       "2145              0          1       XXXConfid  \n",
-       "2146              0          1       XXXConfid  \n",
-       "2147              1          1       XXXConfid  \n",
-       "2148              1          0       XXXConfid  \n",
-       "\n",
-       "[2149 rows x 35 columns]"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df = pd.read_csv('alzheimers_disease_data.csv')\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
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-       "      <td>0</td>\n",
-       "      <td>2.592424</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>17.795882</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19.555085</td>\n",
-       "      <td>7.844988</td>\n",
-       "      <td>1.826335</td>\n",
-       "      <td>9.673574</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5.895077</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>7.119548</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>74</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>33.800817</td>\n",
-       "      <td>1</td>\n",
-       "      <td>12.209266</td>\n",
-       "      <td>8.428001</td>\n",
-       "      <td>7.435604</td>\n",
-       "      <td>8.392554</td>\n",
-       "      <td>...</td>\n",
-       "      <td>8.965106</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6.481226</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>89</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>20.716974</td>\n",
-       "      <td>0</td>\n",
-       "      <td>18.454356</td>\n",
-       "      <td>6.310461</td>\n",
-       "      <td>0.795498</td>\n",
-       "      <td>5.597238</td>\n",
-       "      <td>...</td>\n",
-       "      <td>6.045039</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.014691</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2144</th>\n",
-       "      <td>61</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>39.121757</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.561126</td>\n",
-       "      <td>4.049964</td>\n",
-       "      <td>6.555306</td>\n",
-       "      <td>7.535540</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.238667</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.492838</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2145</th>\n",
-       "      <td>75</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>17.857903</td>\n",
-       "      <td>0</td>\n",
-       "      <td>18.767261</td>\n",
-       "      <td>1.360667</td>\n",
-       "      <td>2.904662</td>\n",
-       "      <td>8.555256</td>\n",
-       "      <td>...</td>\n",
-       "      <td>8.687480</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9.204952</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2146</th>\n",
-       "      <td>77</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15.476479</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.594670</td>\n",
-       "      <td>9.886002</td>\n",
-       "      <td>8.120025</td>\n",
-       "      <td>5.769464</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.972137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5.036334</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2147</th>\n",
-       "      <td>78</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>15.299911</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8.674505</td>\n",
-       "      <td>6.354282</td>\n",
-       "      <td>1.263427</td>\n",
-       "      <td>8.322874</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5.173891</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3.785399</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2148</th>\n",
-       "      <td>72</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>33.289738</td>\n",
-       "      <td>0</td>\n",
-       "      <td>7.890703</td>\n",
-       "      <td>6.570993</td>\n",
-       "      <td>7.941404</td>\n",
-       "      <td>9.878711</td>\n",
-       "      <td>...</td>\n",
-       "      <td>6.307543</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8.327563</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2149 rows × 33 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Age  Gender  Ethnicity  EducationLevel        BMI  Smoking  \\\n",
-       "0      73       0          0               2  22.927749        0   \n",
-       "1      89       0          0               0  26.827681        0   \n",
-       "2      73       0          3               1  17.795882        0   \n",
-       "3      74       1          0               1  33.800817        1   \n",
-       "4      89       0          0               0  20.716974        0   \n",
-       "...   ...     ...        ...             ...        ...      ...   \n",
-       "2144   61       0          0               1  39.121757        0   \n",
-       "2145   75       0          0               2  17.857903        0   \n",
-       "2146   77       0          0               1  15.476479        0   \n",
-       "2147   78       1          3               1  15.299911        0   \n",
-       "2148   72       0          0               2  33.289738        0   \n",
-       "\n",
-       "      AlcoholConsumption  PhysicalActivity  DietQuality  SleepQuality  ...  \\\n",
-       "0              13.297218          6.327112     1.347214      9.025679  ...   \n",
-       "1               4.542524          7.619885     0.518767      7.151293  ...   \n",
-       "2              19.555085          7.844988     1.826335      9.673574  ...   \n",
-       "3              12.209266          8.428001     7.435604      8.392554  ...   \n",
-       "4              18.454356          6.310461     0.795498      5.597238  ...   \n",
-       "...                  ...               ...          ...           ...  ...   \n",
-       "2144            1.561126          4.049964     6.555306      7.535540  ...   \n",
-       "2145           18.767261          1.360667     2.904662      8.555256  ...   \n",
-       "2146            4.594670          9.886002     8.120025      5.769464  ...   \n",
-       "2147            8.674505          6.354282     1.263427      8.322874  ...   \n",
-       "2148            7.890703          6.570993     7.941404      9.878711  ...   \n",
-       "\n",
-       "      FunctionalAssessment  MemoryComplaints  BehavioralProblems       ADL  \\\n",
-       "0                 6.518877                 0                   0  1.725883   \n",
-       "1                 7.118696                 0                   0  2.592424   \n",
-       "2                 5.895077                 0                   0  7.119548   \n",
-       "3                 8.965106                 0                   1  6.481226   \n",
-       "4                 6.045039                 0                   0  0.014691   \n",
-       "...                    ...               ...                 ...       ...   \n",
-       "2144              0.238667                 0                   0  4.492838   \n",
-       "2145              8.687480                 0                   1  9.204952   \n",
-       "2146              1.972137                 0                   0  5.036334   \n",
-       "2147              5.173891                 0                   0  3.785399   \n",
-       "2148              6.307543                 0                   1  8.327563   \n",
-       "\n",
-       "      Confusion  Disorientation  PersonalityChanges  \\\n",
-       "0             0               0                   0   \n",
-       "1             0               0                   0   \n",
-       "2             0               1                   0   \n",
-       "3             0               0                   0   \n",
-       "4             0               0                   1   \n",
-       "...         ...             ...                 ...   \n",
-       "2144          1               0                   0   \n",
-       "2145          0               0                   0   \n",
-       "2146          0               0                   0   \n",
-       "2147          0               0                   0   \n",
-       "2148          0               1                   0   \n",
-       "\n",
-       "      DifficultyCompletingTasks  Forgetfulness  Diagnosis  \n",
-       "0                             1              0          0  \n",
-       "1                             0              1          0  \n",
-       "2                             1              0          0  \n",
-       "3                             0              0          0  \n",
-       "4                             1              0          0  \n",
-       "...                         ...            ...        ...  \n",
-       "2144                          0              0          1  \n",
-       "2145                          0              0          1  \n",
-       "2146                          0              0          1  \n",
-       "2147                          0              1          1  \n",
-       "2148                          0              1          0  \n",
-       "\n",
-       "[2149 rows x 33 columns]"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a_df =df.drop(['DoctorInCharge', 'PatientID'], axis=1, inplace=True)\n",
-    "\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Data Pre-processing"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "X = df.drop('Diagnosis', axis= 1)\n",
-    "y = df['Diagnosis']\n",
-    "\n",
-    "#split the data into test and train\n",
-    "\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
-    "\n",
-    "#apply scaler\n",
-    "scaler = StandardScaler()\n",
-    "X_train_scaled = scaler.fit_transform(X_train)\n",
-    "X_test_scaled = scaler.transform(X_test)\n",
-    "\n",
-    "#X_train"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Building the models"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "kf = KFold(n_splits= 5, shuffle= True, random_state= 42)\n",
-    "\n",
-    "models = {\n",
-    "    'DecisionTree': DecisionTreeClassifier(), 'RandomForest': RandomForestClassifier(), 'svc': SVC()\n",
-    "}\n",
-    "\n",
-    "# Define parameters to test using the randomized grid search\n",
-    "param_grids = {\n",
-    "    'DecisionTree': {\n",
-    "        'criterion': ['gini', 'entropy'],\n",
-    "        'max_depth': [None, 10, 20, 30, 50],\n",
-    "        'min_samples_split': randint(2, 10),\n",
-    "        'min_samples_leaf': randint(1, 5)\n",
-    "    },\n",
-    "    \n",
-    "    'RandomForest': {\n",
-    "        'n_estimators': randint(50, 200),\n",
-    "        'criterion': ['gini', 'entropy'],\n",
-    "        'max_depth': [None, 10, 20, 30, 50],\n",
-    "        'min_samples_split': randint(2, 10),\n",
-    "        'min_samples_leaf': randint(1, 5)\n",
-    "    },\n",
-    "    \n",
-    "    'svc': {\n",
-    "        'C': [0.1, 1, 10, 100, 1000],\n",
-    "        'kernel': ['linear', 'poly', 'rbf', 'sigmoid'],\n",
-    "        'gamma': ['scale', 'auto', 0.001, 0.01, 0.1, 1, 10]\n",
-    "    }\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Running RandomizedSearchCV for DecisionTree...\n",
-      "Best parameters for DecisionTree: {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5}\n",
-      "\n",
-      "Running RandomizedSearchCV for RandomForest...\n",
-      "Best parameters for RandomForest: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 173}\n",
-      "\n",
-      "Running RandomizedSearchCV for svc...\n",
-      "Best parameters for svc: {'kernel': 'rbf', 'gamma': 0.001, 'C': 100}\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "for name, model in models.items():\n",
-    "    #print(name)\n",
-    "    print(f\"Running RandomizedSearchCV for {name}...\")\n",
-    "    random_search = RandomizedSearchCV(model, param_distributions=param_grids[name], cv =kf, n_iter =100, random_state=42, n_jobs=-1)\n",
-    "    random_search.fit(X_train_scaled, y_train)\n",
-    "    print(f\"Best parameters for {name}: {random_search.best_params_}\\n\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Running RandomizedSearchCV for DecisionTree...\n",
-    "Best parameters for DecisionTree: {'criterion': 'gini', 'max_depth': 10, 'min_samples_leaf': 4, 'min_samples_split': 5}\n",
-    "\n",
-    "Running RandomizedSearchCV for RandomForest...\n",
-    "Best parameters for RandomForest: {'criterion': 'entropy', 'max_depth': 10, 'min_samples_leaf': 1, 'min_samples_split': 5, 'n_estimators': 173}\n",
-    "\n",
-    "Running RandomizedSearchCV for svc...\n",
-    "Best parameters for svc: {'kernel': 'rbf', 'gamma': 0.001, 'C': 100}\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "base",
-   "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/models.ipynb b/models.ipynb
index 773419b3ccca7c73b6c18e8b99f3e26dc54208fa..4a53da3fdf2918489445c2a258e9897b5b471f94 100644
--- a/models.ipynb
+++ b/models.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -156,7 +156,7 @@
        "9  ['BehavioralProblems', 'DifficultyCompletingTa...  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -168,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +182,7 @@
        " 'MMSE']"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -582,7 +582,7 @@
        "[2149 rows x 35 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -594,7 +594,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -773,7 +773,7 @@
        "[2149 rows x 7 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -786,7 +786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -841,7 +841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -868,7 +868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -905,7 +905,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -934,7 +934,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -944,34 +944,66 @@
       "Classification Report:\n",
       "               precision    recall  f1-score   support\n",
       "\n",
-      "           0       0.93      0.96      0.94       277\n",
-      "           1       0.92      0.87      0.90       153\n",
+      "           0       0.95      0.98      0.96       277\n",
+      "           1       0.97      0.90      0.93       153\n",
       "\n",
-      "    accuracy                           0.93       430\n",
-      "   macro avg       0.93      0.91      0.92       430\n",
-      "weighted avg       0.93      0.93      0.93       430\n",
+      "    accuracy                           0.95       430\n",
+      "   macro avg       0.96      0.94      0.95       430\n",
+      "weighted avg       0.95      0.95      0.95       430\n",
       "\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Confusion Matrix:\n",
-      " [[266  11]\n",
-      " [ 20 133]]\n",
+      " [[272   5]\n",
+      " [ 15 138]]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Accuracy Score:\n",
-      " 0.9279069767441861\n",
-      "[0.9279069767441861]\n",
+      " 0.9534883720930233\n",
+      "[0.9534883720930233]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
-      "[0.9273908901898491]\n",
-      "[0.927771792161327]\n"
+      "[0.9531150398295376]\n",
+      "[0.9538906924045891]\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
+    "plt.savefig(\"classification_rf.png\")    \n",
+    "plt.savefig(\"confusion_rf.png\")          \n",
+    "\n",
     "accuracy_scores = [] \n",
     "metrics = {\n",
     "    \"Model\": [],\n",
@@ -980,41 +1012,85 @@
     "    \"Recall\": [],\n",
     "    \"F1-Score\": []\n",
     "}\n",
+    "modelr = RandomForestClassifier(criterion='gini', max_depth=50, min_samples_leaf=2, min_samples_split=8, n_estimators=102, random_state=42)\n",
+    "modelr.fit(X_train_scaled, y_train)\n",
+    "y_predr = modelr.predict(X_test_scaled)\n",
+    "accuracyr = accuracy_score(y_test, y_predr)\n",
+    "report_r = classification_report(y_test, y_predr, output_dict=True)\n",
     "\n",
-    "modelsvc = SVC(kernel='rbf', gamma='auto', C=10)\n",
-    "modelsvc.fit(X_train_scaled, y_train)\n",
+    "precision_r = report_r['weighted avg']['precision']\n",
+    "recall_r = report_r['weighted avg']['recall']\n",
+    "f1_r = report_r['weighted avg']['f1-score']\n",
     "\n",
-    "y_predsvc = modelsvc.predict(X_test_scaled)\n",
-    "accuracysvc = accuracy_score(y_test, y_predsvc)\n",
-    "report_svc = classification_report(y_test, y_predsvc, output_dict=True)\n",
+    "metrics['Model'].append('Random Forest')\n",
+    "metrics['Accuracy'].append(accuracyr)\n",
+    "metrics['Precision'].append(precision_r)\n",
+    "metrics['Recall'].append(recall_r)\n",
+    "metrics['F1-Score'].append(f1_r)\n",
     "\n",
-    "precision_svc = report_svc[\"weighted avg\"][\"precision\"]\n",
-    "recall_svc = report_svc[\"weighted avg\"][\"recall\"]\n",
-    "f1_svc = report_svc[\"weighted avg\"][\"f1-score\"]\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predr))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predr))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracyr)\n",
     "\n",
-    "metrics[\"Model\"].append(\"SVC\")\n",
-    "metrics[\"Accuracy\"].append(accuracysvc)\n",
-    "metrics[\"Precision\"].append(precision_svc)\n",
-    "metrics[\"Recall\"].append(recall_svc)\n",
-    "metrics[\"F1-Score\"].append(f1_svc)\n",
+    "accuracy_scores.append(accuracyr)\n",
+    "print(accuracy_scores)\n",
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
     "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_r['0']['precision'], report_r['1']['precision']]\n",
+    "recall = [report_r['0']['recall'], report_r['1']['recall']]\n",
+    "f1_score = [report_r['0']['f1-score'], report_r['1']['f1-score']]\n",
+    "support = [report_r['0']['support'], report_r['1']['support']]\n",
     "\n",
-    "print(\"Classification Report:\\n\", classification_report(y_test, y_predsvc))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Confusion Matrix:\\n\", confusion_matrix(y_test, y_predsvc))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Accuracy Score:\\n\", accuracysvc)\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
     "\n",
-    "accuracy_scores.append(accuracysvc)\n",
-    "print(accuracy_scores)\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(metrics[\"F1-Score\"])\n",
-    "print(metrics[\"Precision\"])\n"
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - Random Forest')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"classification_rf.png\", dpi=300)\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predr)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - Random Forest')\n",
+    "plt.savefig(\"confusion_rf.png\", dpi=300)\n",
+    "plt.show()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1024,68 +1100,146 @@
       "Classification Report:\n",
       "               precision    recall  f1-score   support\n",
       "\n",
-      "           0       0.94      0.97      0.96       277\n",
-      "           1       0.95      0.90      0.92       153\n",
+      "           0       0.93      0.96      0.94       277\n",
+      "           1       0.92      0.87      0.90       153\n",
       "\n",
-      "    accuracy                           0.95       430\n",
-      "   macro avg       0.95      0.94      0.94       430\n",
-      "weighted avg       0.95      0.95      0.95       430\n",
+      "    accuracy                           0.93       430\n",
+      "   macro avg       0.93      0.91      0.92       430\n",
+      "weighted avg       0.93      0.93      0.93       430\n",
       "\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Confusion Matrix:\n",
-      " [[270   7]\n",
-      " [ 16 137]]\n",
+      " [[266  11]\n",
+      " [ 20 133]]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Accuracy Score:\n",
-      " 0.9465116279069767\n",
-      "[0.9279069767441861, 0.9465116279069767]\n",
+      " 0.9279069767441861\n",
+      "[0.9534883720930233, 0.9279069767441861]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
-      "[0.9273908901898491, 0.9461287249795657]\n",
-      "[0.927771792161327, 0.9466651081476662]\n"
+      "[0.9531150398295376, 0.9273908901898491]\n",
+      "[0.9538906924045891, 0.927771792161327]\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "modeld = DecisionTreeClassifier(criterion= 'entropy', max_depth= 10, min_samples_leaf= 4, min_samples_split= 2)\n",
-    "modeld.fit(X_train_scaled, y_train)\n",
+    "plt.savefig(\"classification_svc.png\")    \n",
+    "plt.savefig(\"confusion_svc.png\") \n",
     "\n",
-    "y_predd= modeld.predict(X_test_scaled)\n",
-    "accuracyd = accuracy_score(y_test, y_predd)\n",
-    "report_d = classification_report(y_test, y_predd, output_dict=True)\n",
-    "\n",
-    "precision_d = report_d[\"weighted avg\"][\"precision\"]\n",
-    "recall_d = report_d[\"weighted avg\"][\"recall\"]\n",
-    "f1_d = report_d[\"weighted avg\"][\"f1-score\"]\n",
+    "modelsvc = SVC(kernel='rbf', gamma='auto', C=10)\n",
+    "modelsvc.fit(X_train_scaled, y_train)\n",
+    "y_predsvc = modelsvc.predict(X_test_scaled)\n",
+    "accuracysvc = accuracy_score(y_test, y_predsvc)\n",
+    "report_svc = classification_report(y_test, y_predsvc, output_dict=True)\n",
     "\n",
-    "metrics[\"Model\"].append(\"Decision Tree\")\n",
-    "metrics[\"Accuracy\"].append(accuracyd)\n",
-    "metrics[\"Precision\"].append(precision_d)\n",
-    "metrics[\"Recall\"].append(recall_d)\n",
-    "metrics[\"F1-Score\"].append(f1_d)\n",
+    "# Extract metrics\n",
+    "precision_svc = report_svc['weighted avg']['precision']\n",
+    "recall_svc = report_svc['weighted avg']['recall']\n",
+    "f1_svc = report_svc['weighted avg']['f1-score']\n",
     "\n",
+    "metrics['Model'].append('SVC')\n",
+    "metrics['Accuracy'].append(accuracysvc)\n",
+    "metrics['Precision'].append(precision_svc)\n",
+    "metrics['Recall'].append(recall_svc)\n",
+    "metrics['F1-Score'].append(f1_svc)\n",
     "\n",
-    "print(\"Classification Report:\\n\", classification_report(y_test, y_predd))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Confusion Matrix:\\n\", confusion_matrix(y_test, y_predd))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Accuracy Score:\\n\", accuracyd)\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predsvc))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predsvc))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracysvc)\n",
     "\n",
-    "accuracy_scores.append(accuracyd)\n",
+    "accuracy_scores.append(accuracysvc)\n",
     "print(accuracy_scores)\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(metrics[\"F1-Score\"])\n",
-    "print(metrics[\"Precision\"])\n"
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
+    "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_svc['0']['precision'], report_svc['1']['precision']]\n",
+    "recall = [report_svc['0']['recall'], report_svc['1']['recall']]\n",
+    "f1_score = [report_svc['0']['f1-score'], report_svc['1']['f1-score']]\n",
+    "support = [report_svc['0']['support'], report_svc['1']['support']]\n",
+    "\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - SVC')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"classification_svc.png\", dpi=300)\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predsvc)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - SVC')\n",
+    "plt.savefig(\"confusion_svc.png\", dpi=300)\n",
+    "plt.show()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1095,97 +1249,196 @@
       "Classification Report:\n",
       "               precision    recall  f1-score   support\n",
       "\n",
-      "           0       0.95      0.98      0.96       277\n",
-      "           1       0.97      0.90      0.93       153\n",
+      "           0       0.94      0.97      0.96       277\n",
+      "           1       0.95      0.90      0.92       153\n",
       "\n",
       "    accuracy                           0.95       430\n",
-      "   macro avg       0.96      0.94      0.95       430\n",
+      "   macro avg       0.95      0.94      0.94       430\n",
       "weighted avg       0.95      0.95      0.95       430\n",
       "\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Confusion Matrix:\n",
-      " [[272   5]\n",
-      " [ 15 138]]\n",
+      " [[270   7]\n",
+      " [ 16 137]]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
       "Accuracy Score:\n",
-      " 0.9534883720930233\n",
-      "[0.9279069767441861, 0.9465116279069767, 0.9465116279069767, 0.9534883720930233]\n",
+      " 0.9465116279069767\n",
+      "[0.9534883720930233, 0.9279069767441861, 0.9465116279069767]\n",
       "\n",
-      " =================================================\n",
+      "=================================================\n",
       "\n",
-      "[0.9273908901898491, 0.9461287249795657, 0.9461287249795657, 0.9531150398295376]\n",
-      "[0.927771792161327, 0.9466651081476662, 0.9466651081476662, 0.9538906924045891]\n"
+      "[0.9531150398295376, 0.9273908901898491, 0.9461287249795657]\n",
+      "[0.9538906924045891, 0.927771792161327, 0.9466651081476662]\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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LsnT69GnHQ72+//57DR06VI8++qhj7JAhQ7Rw4UK1bt1aQ4cO1S233KKCggIdOHBAK1as0PDhw9WiRQu1atVKDz30kF588UUdPnxYXbp0kd1u17Zt2xQQEKDBgwcXGcujjz4qf39//eUvf1FUVJTS09OVnJys4OBgNW/evMj3eHl5acKECXrggQfUpUsXPf7448rJydGrr76qkydPlujnbNqbb76p22+/Xa1atVL//v11ww036PTp09qzZ4+WLl2q1atXSyr55wsY58bJqSgD27dvt3r37m1Vr17d8vX1tQIDA63GjRtbY8aMsTIyMhzj8vPzrVdeecWqU6eO5ePjY4WFhVkPPvig9dtvvzmdLz4+3rr55psLXad3795WjRo1nPapmJUJ3377rRUXF2cFBgZaVatWtcaOHWu9++67TqtRNm7caN11111WjRo1LLvdboWGhlrx8fHWkiVLCl3jj6tRLMuyduzYYXXt2tUKDg62fH19rYYNG1qzZs1yGnNhBcJ//vMfp/2pqamWpELjL/bH1SiXUtSKkpkzZ1p169a17Ha7VbNmTSs5OdmaMWOG0/1blmXt37/fSkxMtIKCgixJjs+3uNj/eOzCyooVK1ZYXl5ehT6jY8eOWdWrV7eaN29u5eTkXPIeSkOSY/Py8rIqVapkNWjQwHrssceKXeFz5swZ6x//+IdVt25dy9fX1woODrYaNGhgDR061EpPT3eMy8/PtyZOnGjFxsY6xrVs2dJaunSpY8zFq1Fmz55ttW3b1oqIiLB8fX2t6Ohoq2fPnk4rcYpbwbN48WKrRYsWlp+fnxUYGGglJCRY//3vf53GXFiNcuTIEaf9F6+uKoniVqMUt7onNTXV6tu3r1W1alXLx8fHqlKlihUXF2e9+OKLTuNK+vkCJtksi4XWAADAHOZsAAAAo0g2AACAUSQbAADAKJINAABgFMkGAAAwimQDAAAYRbIBAACMKpdPEP3M58q/vwEoz5I7Tnd3CMBVZ/3SeOPXcNX/lzrn/eyS85Q1KhsAAMCoclnZAADgamLzKfm3NJdHJBsAABjmVYFkAwAAGGTz8exZC5599wAAwDgqGwAAGEYbBQAAGOXpE0RpowAAAKOobAAAYBhtFAAAYBRtFAAAAIOobAAAYBhtFAAAYJTN27OTDdooAADAKCobAAAY5uXhlQ2SDQAADLN5kWwAAACDbN6ePWvBs+8eAAAYR2UDAADDmLMBAACM8vQ5G7RRAACAUVQ2AAAwjDYKAAAwiieIAgCAcic5OVnNmzdXUFCQwsPD1b17d/38889OY/r06SObzea03XbbbU5jcnJyNHjwYIWFhSkwMFDdunXTwYMHSxULyQYAAIbZvLxcspXG2rVrNXDgQG3atEkrV67U+fPnlZiYqKysLKdxHTt2VFpammP7/PPPnY4PGTJEixYt0oIFC7R+/XqdOXNGXbp0UX5+foljoY0CAIBh7liNsnz5cqfXs2bNUnh4uLZu3arWrVs79tvtdkVGRhZ5jszMTM2YMUNz585Vu3btJEnz5s1TtWrVtGrVKnXo0KFEsVDZAADgGpGTk6NTp045bTk5OSV6b2ZmpiQpJCTEaf+aNWsUHh6uOnXq6NFHH1VGRobj2NatW5WXl6fExETHvujoaMXGxmrDhg0ljptkAwAAw7y8bS7ZkpOTFRwc7LQlJydf9vqWZWnYsGG6/fbbFRsb69iflJSk9957T6tXr9a//vUvbd68WXfccYcjgUlPT5evr68qV67sdL6IiAilp6eX+P5powAAYJir2iijRo3SsGHDnPbZ7fbLvm/QoEH64YcftH79eqf99957r+O/Y2Nj1axZM9WoUUOfffaZ7r777mLPZ1mWbLaS3xPJBgAAhpV2cmdx7HZ7iZKLPxo8eLCWLFmidevW6frrr7/k2KioKNWoUUO7d++WJEVGRio3N1cnTpxwqm5kZGQoLi6uxDHQRgEAoByyLEuDBg3Sxx9/rNWrVysmJuay7zl27Jh+++03RUVFSZKaNm0qHx8frVy50jEmLS1NO3fuLFWyQWUDAADD3LEaZeDAgZo/f74++eQTBQUFOeZYBAcHy9/fX2fOnNG4cePUo0cPRUVFaf/+/Xr22WcVFhamu+66yzG2X79+Gj58uEJDQxUSEqIRI0aoQYMGjtUpJUGyAQCAYe54XPnUqVMlSW3atHHaP2vWLPXp00fe3t7asWOH5syZo5MnTyoqKkpt27bVBx98oKCgIMf4iRMnqkKFCurZs6eys7OVkJCglJQUeXt7lzgWkg0AAMohy7Iuedzf319ffPHFZc/j5+enSZMmadKkSVccC8kGAACGefpXzJNsAABgmKtWo1yrPPvuAQCAcVQ2AAAwjDYKAAAwytOTDdooAADAKCobAAAY5umVDZINAAAM8/TVKCQbAAAY5o4niF5NPDvVAgAAxlHZAADAMOZsAAAAozx9zoZn3z0AADCOygYAAIbRRgEAAEZ5erJBGwUAABhFZQMAAMM8fYIoyQYAAIbRRgEAADCIygYAAIbRRgEAAGbZPLuNQrIBAIBhzNkAAAAwiMoGAACGMWcDAAAYRRsFAADAICobAAAYRhsFAAAYRRsFAADAICobAAAY5umVDZINAABM8/A5G5599wAAwDgqGwAAGGbju1EAAIBJLH0FAABGefoEUc9OtQAAgHFUNgAAMI02CgAAMIk2CgAAgEFUNgAAMMxm8+x/25NsAABgGm0UAAAAc6hsAABgGA/1AgAARrEaBQAAwCAqGwAAmMZqFAAAYJKnt1FINgAAMM3DJ4h69t0DAADjqGwAAGCYzUYbBQAAmEQbBQAAwBwqGyiVWs88psi7ElWxbk3lZ5/TiY3b9L9nX1PWL6mOMZ3zfi7yvT+NnKB9r8+QJHn5+qjehJGKvreLvPztOrZ6k3YOHqdz/3e4TO4DcIf/vNtCURF+hfZ//Nn/6fVpe9wQEcoKq1GAUghpfat+nfqeTm7ZIVsFb9X951Dd+vkMrbuls/LPZkuSVl3/F6f3VOnYWrdMf0lpi75w7Kv/+miFd26r7x4YqrzjJ1Vvwt/V7JO3tf7Wu6WCgjK9J6CsPDrsO6dqes0agXrjxYb6av0R9wWFssFzNoCS29zlEafXPzwySu3TNim4yc06vn6LJCnn8FGnMRFdE3RszTfKTj0oSapQqaKqPdxD2/s8o2OrN0qStvd+WgmpaxSWEKejK9eXwZ0AZe/kqTyn1w/eE6qDh7K1bWemmyICyoZbk42DBw9q6tSp2rBhg9LT02Wz2RQREaG4uDg98cQTqlatmjvDQwlUCA6SJOWeKPovS9/wUIV3itf3ff/u2BfcJFZevr46svK/jn05aRk6vWu3KrdsTLIBj1Chgk2JbSP0weKD7g4FZYE2inusX79eSUlJqlatmhITE5WYmCjLspSRkaHFixdr0qRJWrZsmf7yl79c/mRwm/qvjtLx9Vt0ZtfuIo9f/9BdOn86S+mLVjj22SPDlJ+Tq/MnTzmNzTl8VPbIMKPxAleL1reFqWJgBX3+Zbq7Q0EZsNFGcY+hQ4fqkUce0cSJE4s9PmTIEG3evPmS58nJyVFOTo7TvjyrQD4e/oMtCze/NUZBDepoY5texY6p1qeHDr2/VAU5uZc/oc0mWS4MELiKdW4fqW+2Htex4yX4swFc49z2f+SdO3fqiSeeKPb4448/rp07d172PMnJyQoODnbaPiw47spQUYSb3/iHIrrcoU3texe7gqTyX5qq4k01dWDmf5z256QflbfdVxWuq+S03x4eWmi+B1AeRVSxq1nDylq6Is3doaCseNlcs12j3JZsREVFacOGDcUe37hxo6Kioi57nlGjRikzM9Np6+kV4spQcZGb33xOkd0TtSmxt7L3F99vrtb3Hp3culOnf3BeCpv53U4V5OaqSrv/3yKzR1ZR0M21dWLjNmNxA1eLzu0idSIzVxs3H3N3KCgjNi8vl2ylkZycrObNmysoKEjh4eHq3r27fv7Z+e9jy7I0btw4RUdHy9/fX23atNGuXbucxuTk5Gjw4MEKCwtTYGCgunXrpoMHSzfXyG1tlBEjRuiJJ57Q1q1b1b59e0VERMhmsyk9PV0rV67Uu+++qzfeeOOy57Hb7bLb7U77aKGYEztprKLv66Itdw9Q/uks2SN+n2ORl3laBef+fzurQlCgonp01E/PvFLoHOdPndFvsxaq3oSRyj12QnknMlXvlZE6tfMXHf2y+AQUKA9sNqlTu0gtX31Y+azy9hxueFz52rVrNXDgQDVv3lznz5/X6NGjlZiYqB9//FGBgYGSpAkTJuj1119XSkqK6tSpoxdffFHt27fXzz//rKCg3xcADBkyREuXLtWCBQsUGhqq4cOHq0uXLtq6dau8vb1LFIvbko0BAwYoNDRUEydO1Ntvv638/HxJkre3t5o2bao5c+aoZ8+e7goPxajxxO/zM1qunue0//t+f9fBOYscr6Pu7SybzaZDCz4t8jw/Dh8v6/x5NXn/DXn7++no6o36vt/fecYGyr1mjSorMtxPn61kYijMWr58udPrWbNmKTw8XFu3blXr1q1lWZbeeOMNjR49Wnfffbckafbs2YqIiND8+fP1+OOPKzMzUzNmzNDcuXPVrl07SdK8efNUrVo1rVq1Sh06dChRLDbLstw+JS8vL09Hj/7eqw8LC5OPj8+fOt9nPnVdERZQ7iR3nO7uEICrzvql8cavcTbleZecx/v+vxdaFFFUhb8oe/bsUe3atbVjxw7FxsZq3759qlWrlr777js1btzYMe7OO+/Uddddp9mzZ2v16tVKSEjQ8ePHVblyZceYhg0bqnv37nr++ZLd11XRb/Dx8VFUVJSioqL+dKIBAMBVx2ZzyVbUoojk5OTLXt6yLA0bNky33367YmNjJUnp6b9X1yIiIpzGRkREOI6lp6fL19fXKdG4eExJ8ARRAACuEaNGjdKwYcOc9pWkqjFo0CD98MMPWr++8EMTbRfNJ7Esq9C+i5VkzB+RbAAAYFhpV5IUp6Qtkz8aPHiwlixZonXr1un666937I+MjJT0e/Xij6s/MzIyHNWOyMhI5ebm6sSJE07VjYyMDMXFxZU4hquijQIAQLlm83LNVgqWZWnQoEH6+OOPtXr1asXExDgdj4mJUWRkpFauXOnYl5ubq7Vr1zoSiaZNm8rHx8dpTFpamnbu3FmqZIPKBgAA5dDAgQM1f/58ffLJJwoKCnLMsQgODpa/v79sNpuGDBmi8ePHq3bt2qpdu7bGjx+vgIAA9erVyzG2X79+Gj58uEJDQxUSEqIRI0aoQYMGjtUpJUGyAQCAaW54+ufUqVMlSW3atHHaP2vWLPXp00eS9Mwzzyg7O1sDBgzQiRMn1KJFC61YscLxjA1JmjhxoipUqKCePXsqOztbCQkJSklJKfEzNqSrZOmrq7H0FSgaS1+Bwspi6eu59ws/4PBK+N0/0iXnKWvM2QAAAEbRRgEAwLRr+EvUXIFkAwAA0zz8O7tINgAAMM0NX8R2NfHsVAsAABhHZQMAANNc9ATRaxXJBgAApnn4nA3PvnsAAGAclQ0AAExj6SsAADCKNgoAAIA5VDYAADDNw5+zQbIBAIBpHr701bPvHgAAGEdlAwAA02ijAAAAozx8NQrJBgAApjFnAwAAwBwqGwAAmMacDQAAYJSHz9nw7LsHAADGUdkAAMA02igAAMAoVqMAAACYQ2UDAADDLNooAADAKFajAAAAmENlAwAA0zy8skGyAQCAYczZAAAAZnl4ZcOz7x4AABhHZQMAANNoowAAAKN4gigAAIA5VDYAADCM1SgAAMAsVqMAAACYQ2UDAADDLA+vbJBsAABgGnM2AACASZ5e2fDsuwcAAMZR2QAAwDTaKAAAwCjaKAAAAOZQ2QAAwDCeIAoAAMyijQIAAGAOlQ0AAAyzRBsFAAAYxEO9AAAADKKyAQCAaR5e2SDZAADAMJa+AgAAo5izAQAAYBCVDQAATKONAgAATKKNAgAAYBCVDQAADOMJogAAwCjaKAAAoFxat26dunbtqujoaNlsNi1evNjpeJ8+fWSz2Zy22267zWlMTk6OBg8erLCwMAUGBqpbt246ePBgqeIg2QAAwDSbzTVbKWVlZalhw4aaPHlysWM6duyotLQ0x/b55587HR8yZIgWLVqkBQsWaP369Tpz5oy6dOmi/Pz8EsdRojbKkiVLSnzCbt26lXgsAACewHLTv+2TkpKUlJR0yTF2u12RkZFFHsvMzNSMGTM0d+5ctWvXTpI0b948VatWTatWrVKHDh1KFEeJko3u3buX6GQ2m61UmQ4AAHCvNWvWKDw8XNddd53i4+P10ksvKTw8XJK0detW5eXlKTEx0TE+OjpasbGx2rBhg2uTjYKCgisIHwAASK77bpScnBzl5OQ47bPb7bLb7Vd0vqSkJP31r39VjRo1lJqaqueee0533HGHtm7dKrvdrvT0dPn6+qpy5cpO74uIiFB6enqJr8OcDQAADLNsXi7ZkpOTFRwc7LQlJydfcVz33nuvOnfurNjYWHXt2lXLli3TL7/8os8+++zS92NZspUigbqipa9ZWVlau3atDhw4oNzcXKdjTz755JWcEgCAcstVz9kYNWqUhg0b5rTvSqsaRYmKilKNGjW0e/duSVJkZKRyc3N14sQJp+pGRkaG4uLiSnzeUicb27ZtU6dOnXT27FllZWUpJCRER48eVUBAgMLDw0k2AAAw5M+0TEri2LFj+u233xQVFSVJatq0qXx8fLRy5Ur17NlTkpSWlqadO3dqwoQJJT5vqdsoQ4cOVdeuXXX8+HH5+/tr06ZN+vXXX9W0aVO99tprpT0dAADlnqvaKKV15swZbd++Xdu3b5ckpaamavv27Tpw4IDOnDmjESNGaOPGjdq/f7/WrFmjrl27KiwsTHfddZckKTg4WP369dPw4cP15Zdfatu2bXrwwQfVoEEDx+qUkih1ZWP79u16++235e3tLW9vb+Xk5KhmzZqaMGGCevfurbvvvru0pwQAoFxz1QTR0tqyZYvatm3reH2hBdO7d29NnTpVO3bs0Jw5c3Ty5ElFRUWpbdu2+uCDDxQUFOR4z8SJE1WhQgX17NlT2dnZSkhIUEpKiry9vUscR6mTDR8fH8ekkIiICB04cED16tVTcHCwDhw4UNrTAQAAQ9q0aSPLsoo9/sUXX1z2HH5+fpo0aZImTZp0xXGUOtlo3LixtmzZojp16qht27YaM2aMjh49qrlz56pBgwZXHAgAAOWVp38RW6kbQOPHj3dMHHnhhRcUGhqq/v37KyMjQ9OnT3d5gAAAXOvcNWfjalHqykazZs0c/12lSpVCz1AHAAD4I75iHgAAwzy9jVLqZCMmJuaSTw3bt2/fnwoIAIDy5lpugbhCqZONIUOGOL3Oy8vTtm3btHz5cj399NOuigsAAJQTpU42nnrqqSL3//vf/9aWLVv+dEAAAJQ3nt5GcVldJykpSQsXLnTV6QAAKDdYjeIiH330kUJCQlx1OgAAyg1Pr2xc0UO9/jhB1LIspaen68iRI5oyZYpLgwMAANe+Uicbd955p1Oy4eXlpSpVqqhNmza66aabXBrclXqj53x3hwBclVL+SfURcAd3fTfK1aLUyca4ceMMhAEAQPllWZ6dbJR6tom3t7cyMjIK7T927FipvgEOAAB4hlJXNor79ricnBz5+vr+6YAAAChvLNct/rwmlTjZeOuttyRJNptN7777ripWrOg4lp+fr3Xr1l01czYAALiasBqlhCZOnCjp98rGtGnTnFomvr6+uuGGGzRt2jTXRwgAAK5pJU42UlNTJUlt27bVxx9/rMqVKxsLCgCA8oTKRil99dVXJuIAAKDc8vRko9QzVu655x69/PLLhfa/+uqr+utf/+qSoAAAQPlR6mRj7dq16ty5c6H9HTt21Lp161wSFAAA5Yklm0u2a1Wp2yhnzpwpcomrj4+PTp065ZKgAAAoT3ioVynFxsbqgw8+KLR/wYIFql+/vkuCAgCgPKGyUUrPPfecevToob179+qOO+6QJH355ZeaP3++PvroI5cHCAAArm2lTja6deumxYsXa/z48froo4/k7++vhg0bavXq1apUqZKJGAEAuKZdy1UJVyh1siFJnTt3dkwSPXnypN577z0NGTJE33//vfLz810aIAAA1zpPTzau+GHtq1ev1oMPPqjo6GhNnjxZnTp10pYtW1wZGwAAKAdKVdk4ePCgUlJSNHPmTGVlZalnz57Ky8vTwoULmRwKAEAxWI1SQp06dVL9+vX1448/atKkSTp06JAmTZpkMjYAAMqFAtlcsl2rSlzZWLFihZ588kn1799ftWvXNhkTAAAoR0pc2fj66691+vRpNWvWTC1atNDkyZN15MgRk7EBAFAuePpzNkqcbLRs2VLvvPOO0tLS9Pjjj2vBggWqWrWqCgoKtHLlSp0+fdpknAAAXLMsy+aS7VpV6tUoAQEB6tu3r9avX68dO3Zo+PDhevnllxUeHq5u3bqZiBEAAFzDrnjpqyTVrVtXEyZM0MGDB/X++++7KiYAAMoVT2+jXNFDvS7m7e2t7t27q3v37q44HQAA5cq13AJxBZckGwAAoHjXclXCFf5UGwUAAOByqGwAAGAYbRQAAGBUgbsDcDPaKAAAwCgqGwAAGEYbBQAAGMVqFAAAAIOobAAAYBhtFAAAYBRtFAAAAIOobAAAYFiB5e4I3ItkAwAAwzy9jUKyAQCAYZ4+QZQ5GwAAwCgqGwAAGGYxZwMAAJhU4OFzNmijAAAAo6hsAABgmKdPECXZAADAME+fs0EbBQAAGEVlAwAAw3ioFwAAMMrTH1dOGwUAABhFZQMAAMNYjQIAAIxiNQoAADCqQDaXbKW1bt06de3aVdHR0bLZbFq8eLHTccuyNG7cOEVHR8vf319t2rTRrl27nMbk5ORo8ODBCgsLU2BgoLp166aDBw+WKg6SDQAAyqmsrCw1bNhQkydPLvL4hAkT9Prrr2vy5MnavHmzIiMj1b59e50+fdoxZsiQIVq0aJEWLFig9evX68yZM+rSpYvy8/NLHAdtFAAADHNXGyUpKUlJSUlFHrMsS2+88YZGjx6tu+++W5I0e/ZsRUREaP78+Xr88ceVmZmpGTNmaO7cuWrXrp0kad68eapWrZpWrVqlDh06lCgOKhsAABhmWTaXbDk5OTp16pTTlpOTc0UxpaamKj09XYmJiY59drtd8fHx2rBhgyRp69atysvLcxoTHR2t2NhYx5iSINkAAOAakZycrODgYKctOTn5is6Vnp4uSYqIiHDaHxER4TiWnp4uX19fVa5cudgxJUEbBQAAw1z1UK9Ro0Zp2LBhTvvsdvufOqfN5jzx1LKsQvsuVpIxf0RlAwAAwyzLNZvdblelSpWctitNNiIjIyWpUIUiIyPDUe2IjIxUbm6uTpw4UeyYkiDZAADAA8XExCgyMlIrV6507MvNzdXatWsVFxcnSWratKl8fHycxqSlpWnnzp2OMSVBGwUAAMPc9UVsZ86c0Z49exyvU1NTtX37doWEhKh69eoaMmSIxo8fr9q1a6t27doaP368AgIC1KtXL0lScHCw+vXrp+HDhys0NFQhISEaMWKEGjRo4FidUhIkGwAAGOauL2LbsmWL2rZt63h9Yb5H7969lZKSomeeeUbZ2dkaMGCATpw4oRYtWmjFihUKCgpyvGfixImqUKGCevbsqezsbCUkJCglJUXe3t4ljsNmWeXvIartH9jq7hCAq9LUf4a4OwTgqnNjrRjj1/jomwKXnOeeFtfm7AcqGwAAGFb+/llfOiQbAAAYRrIBAACMKvDwr5i/Nps/AADgmkFlAwAAw2ijAAAAozw92aCNAgAAjKKyAQCAYe56qNfVgmQDAADDLFajAAAAmENlAwAAwzx9gijJBgAAhnn6nA3aKAAAwCgqGwAAGEYbBQAAGEWyAQAAjGLOBgAAgEFUNgAAMIw2CgAAMKqgwN0RuBdtFAAAYBSVDQAADKONAgAAjPL0ZIM2CgAAMIrKBgAAhnn6czZINgAAMMxyWR/F5qLzlC3aKAAAwCgqG/jTGtxUUX/tHKE6MQEKreyrsa/v0YatmU5jqkf76ZH7quqWekGy2aRf/y9bL7y1T0eO5bkpasC1du7YoYULP9KePbt1/Phx/eMfY9QyLs5x/L15c7Vu3VodOXJEFXx8dOONN+pvf+ujm266SZJ0+HC6+j7cp8hz/33Us2rVqnVZ3AYM8fQJoiQb+NP87F7adyBbK9Ye09ihtQodjwr31cQxdbVs7VHNXnhIWWfzVb2qn/LyPPxPH8qVc+fOKSYmRu3at9f4l14sdLxq1ev1RP8BioyMUm5ujhYvWqTn/vGs3p0xU8HB1yksrIrmzpvv9J7ly5dp4Uf/UbNmzcvqNmCIpz/Ui2QDf9rm709p8/enij3+cM+q+vb7TL37/v859qUfyS2L0IAy06x5czVrXnxS0KZtW6fXjz72mFas+EKpqalq1KixvL29FRIS4jRm44YNatW6tfz9/Y3EjLLj6ZUN5mzAKJtNatEoWAfTzil55I36cMoteuv5mxTXNNjdoQFuk5eXp2XLlikwMFAxMTWLHLN7927t27dXiYkdyzg6wPWu6mTjt99+U9++fS85JicnR6dOnXLaCvL5V/PV4rpKFRTg7617u0Zq8/enNOqV3frvlhMaO6SWbrmporvDA8rUt998ox53d9dd3bvpk8WL9OJL4xUcXHTivWLFF6pWrbrq169fxlHChALLNdu16qpONo4fP67Zs2dfckxycrKCg4OdttRds8ooQlyOl+33ZVobv8vUx8sztPfXbH2w9LC+2ZapLglV3BwdULZuadhQkyZP0Wv/el1NmjbVy8njdfLkyULjcnJytHbNV0rs0KHsg4QRluWa7Vrl1jkbS5YsueTxffv2XfYco0aN0rBhw5z23fXYrj8VF1wn8/R5nT9v6df/y3baf+DQOcXWpbIBz+Ln56fo6GhFR0frppvq6dFH+mrFF8vV8977nMb9d/3XysnJUUJCgpsiBVzLrclG9+7dZbPZLvmwE5vt0g8wsdvtstvtTvu8vH1dEh/+vPP5ln7el6VqUX5O+6tG2nX4KO0ueDbLspSXV3j594oVX6hFi9sUHHxd2QcFIyyX9UB4qFepRUVFaeHChSooKChy++6779wZHkrIz+6lWjX8VavG7zPmI6vYVauGv6qE+kiS/vPZYcXfVllJbcMUHWHXne2rqGWT67RkZYY7wwZcKjs7W3v37tXevXslSemH07V3715lZGTo3Llzmp0yS//730/KOHxYe/bs1ptvTNTRo0d1e6tWTuc5dOiQdu7cqcQOTAwtTzx9zoZbKxtNmzbVd999p+7duxd5/HJVD1wd6tQM0L/+Udfxuv9D1SRJK9Yd1atv/6r/bjmpN2ce0P3dIjXwb9V0MO2cnn9zr3b9kuWukAGX2737F436+0jH63ffmS5JSmjXToMGPanfDv6mL19apczMU6pUKUi169TRhFdfU40aNzidZ+WKLxQaGqomTZqUZfiAUTbLjf83//rrr5WVlaWOHYvO4LOysrRlyxbFx8eX6rztH9jqivCAcmfqP0MuPwjwMDfWijF+jVc+cs1TvUbec1Wv6yiWWysbrS4qH14sMDCw1IkGAABXm4JruQfiAtdmigQAAK4ZPK4cAADDPH36IckGAACGkWwAAACjCjw822DOBgAAMIrKBgAAhlmuWfl6zSLZAADAME9/QCVtFAAAYBSVDQAADCugjQIAAEyijQIAAGAQlQ0AAAzz8K9GIdkAAMA0y8OzDdooAADAKCobAAAY5uHzQ0k2AAAwrcDD2ygkGwAAGMbSVwAAAIOobAAAYBhfxAYAAIwqoI0CAABgDskGAACGWZblkq00xo0bJ5vN5rRFRkY6xTRu3DhFR0fL399fbdq00a5du1x965JINgAAMK6gwHLJVlo333yz0tLSHNuOHTscxyZMmKDXX39dkydP1ubNmxUZGan27dvr9OnTrrx1SSQbAACUWxUqVFBkZKRjq1KliqTfqxpvvPGGRo8erbvvvluxsbGaPXu2zp49q/nz57s8DpINAAAMsyzXbDk5OTp16pTTlpOTU+x1d+/erejoaMXExOi+++7Tvn37JEmpqalKT09XYmKiY6zdbld8fLw2bNjg8vsn2QAAwDCrwHLJlpycrODgYKctOTm5yGu2aNFCc+bM0RdffKF33nlH6enpiouL07Fjx5Seni5JioiIcHpPRESE45grsfQVAIBrxKhRozRs2DCnfXa7vcixSUlJjv9u0KCBWrZsqVq1amn27Nm67bbbJEk2m83pPZZlFdrnClQ2AAAwrMCyXLLZ7XZVqlTJaSsu2bhYYGCgGjRooN27dztWpVxcxcjIyChU7XAFkg0AAAxzVRvlz8jJydFPP/2kqKgoxcTEKDIyUitXrnQcz83N1dq1axUXF/dnb7cQ2igAABj2ZxOFKzFixAh17dpV1atXV0ZGhl588UWdOnVKvXv3ls1m05AhQzR+/HjVrl1btWvX1vjx4xUQEKBevXq5PBaSDQAAyqGDBw/q/vvv19GjR1WlShXddttt2rRpk2rUqCFJeuaZZ5Sdna0BAwboxIkTatGihVasWKGgoCCXx0KyAQCAYW4obGjBggWXPG6z2TRu3DiNGzfOeCwkGwAAGOaONsrVhAmiAADAKCobAAAYVtovUStvSDYAADDsSr5ErTyhjQIAAIyisgEAgGG0UQAAgFGsRgEAADCIygYAAIZ5emWDZAMAAMMKmLMBAABM8vTKBnM2AACAUVQ2AAAwjKWvAADAKJ4gCgAAYBCVDQAADPP0CaIkGwAAGObpczZoowAAAKOobAAAYJhVUODuENyKZAMAAMNYjQIAAGAQlQ0AAAzz9AmiJBsAABjG0lcAAGCUpycbzNkAAABGUdkAAMCwAoulrwAAwCDaKAAAAAZR2QAAwDBPr2yQbAAAYJinP2eDNgoAADCKygYAAIYV8EVsAADAJE+fs0EbBQAAGEVlAwAAwywe6gUAAEzy9DYKyQYAAIZ5erLBnA0AAGAUlQ0AAAzji9gAAIBRtFEAAAAMorIBAIBhFk8QBQAAJtFGAQAAMIjKBgAAhvEEUQAAYFQBbRQAAABzqGwAAGAYq1EAAIBRnr4ahWQDAADDPH2CKHM2AACAUVQ2AAAwjDYKAAAwytMniNJGAQAARtksy/Ls2g6MycnJUXJyskaNGiW73e7ucICrBn824GlINmDMqVOnFBwcrMzMTFWqVMnd4QBXDf5swNPQRgEAAEaRbAAAAKNINgAAgFEkGzDGbrdr7NixTIADLsKfDXgaJogCAACjqGwAAACjSDYAAIBRJBsAAMAokg0AAGAUyQaMmTJlimJiYuTn56emTZvq66+/dndIgFutW7dOXbt2VXR0tGw2mxYvXuzukIAyQbIBIz744AMNGTJEo0eP1rZt29SqVSslJSXpwIED7g4NcJusrCw1bNhQkydPdncoQJli6SuMaNGihZo0aaKpU6c69tWrV0/du3dXcnKyGyMDrg42m02LFi1S9+7d3R0KYByVDbhcbm6utm7dqsTERKf9iYmJ2rBhg5uiAgC4C8kGXO7o0aPKz89XRESE0/6IiAilp6e7KSoAgLuQbMAYm83m9NqyrEL7AADlH8kGXC4sLEze3t6FqhgZGRmFqh0AgPKPZAMu5+vrq6ZNm2rlypVO+1euXKm4uDg3RQUAcJcK7g4A5dOwYcP00EMPqVmzZmrZsqWmT5+uAwcO6IknnnB3aIDbnDlzRnv27HG8Tk1N1fbt2xUSEqLq1au7MTLALJa+wpgpU6ZowoQJSktLU2xsrCZOnKjWrVu7OyzAbdasWaO2bdsW2t+7d2+lpKSUfUBAGSHZAAAARjFnAwAAGEWyAQAAjCLZAAAARpFsAAAAo0g2AACAUSQbAADAKJINAABgFMkGUA6NGzdOjRo1crzu06ePunfvXuZx7N+/XzabTdu3by/zawO4epBsAGWoT58+stlsstls8vHxUc2aNTVixAhlZWUZve6bb75Z4idUkiAAcDW+GwUoYx07dtSsWbOUl5enr7/+Wo888oiysrI0depUp3F5eXny8fFxyTWDg4Ndch4AuBJUNoAyZrfbFRkZqWrVqqlXr1564IEHtHjxYkfrY+bMmapZs6bsdrssy1JmZqYee+wxhYeHq1KlSrrjjjv0/fffO53z5ZdfVkREhIKCgtSvXz+dO3fO6fjFbZSCggK98soruvHGG2W321W9enW99NJLkqSYmBhJUuPGjWWz2dSmTRvH+2bNmqV69erJz89PN910k6ZMmeJ0nW+//VaNGzeWn5+fmjVrpm3btrnwkwNwraKyAbiZv7+/8vLyJEl79uzRhx9+qIULF8rb21uS1LlzZ4WEhOjzzz9XcHCw3n77bSUkJOiXX35RSEiIPvzwQ40dO1b//ve/1apVK82dO1dvvfWWatasWew1R40apXfeeUcTJ07U7bffrrS0NP3vf/+T9HvCcOutt2rVqlW6+eab5evrK0l65513NHbsWE2ePFmNGzfWtm3b9OijjyowMFC9e/dWVlaWunTpojvuuEPz5s1TamqqnnrqKcOfHoBrggWgzPTu3du68847Ha+/+eYbKzQ01OrZs6c1duxYy8fHx8rIyHAc//LLL61KlSpZ586dczpPrVq1rLffftuyLMtq2bKl9cQTTzgdb9GihdWwYcMir3vq1CnLbrdb77zzTpExpqamWpKsbdu2Oe2vVq2aNX/+fKd9L7zwgtWyZUvLsizr7bfftkJCQqysrCzH8alTpxZ5LgCehTYKUMY+/fRTVaxYUX5+fmrZsqVat26tSZMmSZJq1KihKlWqOMZu3bpVZ86cUWhoqCpWrOjYUlNTtXfvXknSTz/9pJYtWzpd4+LXf/TTTz8pJydHCQkJJY75yJEj+u2339SvXz+nOF588UWnOBo2bKiAgIASxQHAc9BGAcpY27ZtNXXqVPn4+Cg6OtppEmhgYKDT2IKCAkVFRWnNmjWFznPddddd0fX9/f1L/Z6CggJJv7dSWrRo4XTsQrvHsqwrigdA+UeyAZSxwMBA3XjjjSUa26RJE6Wnp6tChQq64YYbihxTr149bdq0SX/7298c+zZt2lTsOWvXri1/f399+eWXeuSRRwodvzBHIz8/37EvIiJCVatW1b59+/TAAw8Ued769etr7ty5ys7OdiQ0l4oDgOegjQJcxdq1a6eWLVuqe/fu+uKLL7R//35t2LBB//jHP7RlyxZJ0lNPPaWZM2dq5syZ+uWXXzR27Fjt2rWr2HP6+flp5MiReuaZZzRnzhzt3btXmzZt0owZMyRJ4eHh8vf31/Lly3X48GFlZmZK+v1BYcnJyXrzzTf1yy+/aMeOHZo1a5Zef/11SVKvXr3k5eWlfv366ccff9Tnn3+u1157zfAnBOBaQLIBXMVsNps+//xztW7dWn379lWdOnV03333af/+/YqIiJAk3XvvvRozZoxGjhyppk2b6tdff1X//v0ved7nnntOw4cP15gxY1SvXj3de++9ysjIkCRVqFBBb731lt5++21FR0frzjvvlCQ98sgjevfdd5WSkqIGDRooPj5eKSkpjqWyFStW1NKlS/Xjjz+qcePGGj16tF555RWDnw6Aa4XNotEKAAAMorIBAACMItkAAABGkWwAAACjSDYAAIBRJBsAAMAokg0AAGAUyQYAADCKZAMAABhFsgEAAIwi2QAAAEaRbAAAAKNINgAAgFH/D/uvqcBrRLzAAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "modelr = RandomForestClassifier( criterion= 'gini', max_depth= 50, min_samples_leaf= 2, min_samples_split= 8, n_estimators= 102, random_state= 42)\n",
-    "modelr.fit(X_train_scaled, y_train)\n",
-    "y_predr= modelr.predict(X_test_scaled)\n",
-    "accuracyr = accuracy_score(y_test, y_predr)\n",
-    "report_r = classification_report(y_test, y_predr, output_dict=True)\n",
     "\n",
-    "precision_r = report_r[\"weighted avg\"][\"precision\"]\n",
-    "recall_r = report_r[\"weighted avg\"][\"recall\"]\n",
-    "f1_r = report_r[\"weighted avg\"][\"f1-score\"]\n",
+    "modeld = DecisionTreeClassifier(criterion='entropy', max_depth=10, min_samples_leaf=4, min_samples_split=2)\n",
+    "modeld.fit(X_train_scaled, y_train)\n",
+    "y_predd = modeld.predict(X_test_scaled)\n",
+    "accuracyd = accuracy_score(y_test, y_predd)\n",
+    "report_d = classification_report(y_test, y_predd, output_dict=True)\n",
     "\n",
-    "metrics[\"Model\"].append(\"Random Forest\")\n",
-    "metrics[\"Accuracy\"].append(accuracyr)\n",
-    "metrics[\"Precision\"].append(precision_r)\n",
-    "metrics[\"Recall\"].append(recall_r)\n",
-    "metrics[\"F1-Score\"].append(f1_r)\n",
+    "# Extract metrics\n",
+    "precision_d = report_d['weighted avg']['precision']\n",
+    "recall_d = report_d['weighted avg']['recall']\n",
+    "f1_d = report_d['weighted avg']['f1-score']\n",
     "\n",
+    "metrics['Model'].append('Decision Tree')\n",
+    "metrics['Accuracy'].append(accuracyd)\n",
+    "metrics['Precision'].append(precision_d)\n",
+    "metrics['Recall'].append(recall_d)\n",
+    "metrics['F1-Score'].append(f1_d)\n",
     "\n",
-    "print(\"Classification Report:\\n\", classification_report(y_test, y_predr))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Confusion Matrix:\\n\", confusion_matrix(y_test, y_predr))\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(\"Accuracy Score:\\n\", accuracyr)\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predd))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predd))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracyd)\n",
     "\n",
-    "accuracy_scores.append(accuracyr)\n",
+    "accuracy_scores.append(accuracyd)\n",
     "print(accuracy_scores)\n",
-    "print(\"\\n =================================================\\n\")\n",
-    "print(metrics[\"F1-Score\"])\n",
-    "print(metrics[\"Precision\"])\n",
-    "\n"
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
+    "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_d['0']['precision'], report_d['1']['precision']]\n",
+    "recall = [report_d['0']['recall'], report_d['1']['recall']]\n",
+    "f1_score = [report_d['0']['f1-score'], report_d['1']['f1-score']]\n",
+    "support = [report_d['0']['support'], report_d['1']['support']]\n",
+    "\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(8, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - Decision Tree')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"classification_dt.png\", dpi=300)\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predd)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - Decision Tree')\n",
+    "plt.savefig(\"confusion_dt.png\", dpi=300)\n",
+    "plt.show()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_3388\\1676727495.py:51: UserWarning: Glyph 128309 (\\N{LARGE BLUE CIRCLE}) missing from current font.\n",
-      "  plt.tight_layout()\n",
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_3388\\1676727495.py:51: UserWarning: Glyph 128992 (\\N{LARGE ORANGE CIRCLE}) missing from current font.\n",
-      "  plt.tight_layout()\n",
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_3388\\1676727495.py:51: UserWarning: Glyph 128994 (\\N{LARGE GREEN CIRCLE}) missing from current font.\n",
-      "  plt.tight_layout()\n",
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_3388\\1676727495.py:51: UserWarning: Glyph 128308 (\\N{LARGE RED CIRCLE}) missing from current font.\n",
-      "  plt.tight_layout()\n",
-      "c:\\Users\\sarah\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 128309 (\\N{LARGE BLUE CIRCLE}) missing from current font.\n",
-      "  fig.canvas.print_figure(bytes_io, **kw)\n",
-      "c:\\Users\\sarah\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 128992 (\\N{LARGE ORANGE CIRCLE}) missing from current font.\n",
-      "  fig.canvas.print_figure(bytes_io, **kw)\n",
-      "c:\\Users\\sarah\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 128994 (\\N{LARGE GREEN CIRCLE}) missing from current font.\n",
-      "  fig.canvas.print_figure(bytes_io, **kw)\n",
-      "c:\\Users\\sarah\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 128308 (\\N{LARGE RED CIRCLE}) missing from current font.\n",
-      "  fig.canvas.print_figure(bytes_io, **kw)\n"
-     ]
+     "data": {
+      "text/plain": [
+       "{'Model': ['Random Forest', 'SVC', 'Decision Tree'],\n",
+       " 'Accuracy': [0.9534883720930233, 0.9279069767441861, 0.9465116279069767],\n",
+       " 'Precision': [0.9538906924045891, 0.927771792161327, 0.9466651081476662],\n",
+       " 'Recall': [0.9534883720930233, 0.9279069767441861, 0.9465116279069767],\n",
+       " 'F1-Score': [0.9531150398295376, 0.9273908901898491, 0.9461287249795657]}"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 1200x1000 with 4 Axes>"
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1193,60 +1446,100 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "# Convert the metrics dictionary into a DataFrame\n",
-    "metrics_df = pd.DataFrame(metrics)\n",
-    "\n",
-    "# Set the model names as the index\n",
-    "metrics_df.set_index(\"Model\", inplace=True)\n",
-    "\n",
-    "# 🎨 Create a 2x2 grid of subplots for better visualization\n",
-    "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n",
-    "\n",
-    "# Define a function to add annotations on bars\n",
-    "def add_value_labels(ax):\n",
-    "    for bar in ax.patches:\n",
-    "        ax.annotate(\n",
-    "            f\"{bar.get_height():.2f}\",  # Format to 2 decimal places\n",
-    "            (bar.get_x() + bar.get_width() / 2, bar.get_height()),  # Position\n",
-    "            ha='center', va='bottom', fontsize=10, fontweight='bold', color='black'\n",
-    "        )\n",
+    "# Extract data from the metrics dictionary\n",
+    "models = metrics['Model']\n",
+    "accuracy = metrics['Accuracy']\n",
+    "precision = metrics['Precision']\n",
+    "recall = metrics['Recall']\n",
+    "f1_score = metrics['F1-Score']\n",
     "\n",
-    "# 🔹 Plot Accuracy\n",
-    "metrics_df[\"Accuracy\"].plot(kind=\"bar\", ax=axes[0, 0], color=\"royalblue\", legend=True)\n",
-    "axes[0, 0].set_title(\"🔵 Model Accuracy\")\n",
-    "axes[0, 0].set_ylim(0, 1)\n",
-    "axes[0, 0].set_ylabel(\"Score\")\n",
-    "add_value_labels(axes[0, 0])  # Add annotations\n",
+    "# Plotting function\n",
+    "def plot_metric(data, title, color):\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    plt.bar(models, data, color=color)\n",
+    "    plt.xlabel('Models')\n",
+    "    plt.ylabel(title)\n",
+    "    plt.title(f'{title} Comparison')\n",
+    "    # Adding values on top of bars\n",
+    "    for i, value in enumerate(data):\n",
+    "        plt.text(i, value + 0.01, f'{value:.2f}', ha='center', fontsize=10)\n",
+    "    plt.savefig(f\"{title}.png\", dpi=300)\n",
+    "    plt.show()\n",
     "\n",
-    "# 🟠 Plot Precision\n",
-    "metrics_df[\"Precision\"].plot(kind=\"bar\", ax=axes[0, 1], color=\"darkorange\", legend=True)\n",
-    "axes[0, 1].set_title(\"🟠 Model Precision\")\n",
-    "axes[0, 1].set_ylim(0, 1)\n",
-    "axes[0, 1].set_ylabel(\"Score\")\n",
-    "add_value_labels(axes[0, 1])  # Add annotations\n",
-    "\n",
-    "# 🟢 Plot Recall\n",
-    "metrics_df[\"Recall\"].plot(kind=\"bar\", ax=axes[1, 0], color=\"seagreen\", legend=True)\n",
-    "axes[1, 0].set_title(\"🟢 Model Recall\")\n",
-    "axes[1, 0].set_ylim(0, 1)\n",
-    "axes[1, 0].set_ylabel(\"Score\")\n",
-    "add_value_labels(axes[1, 0])  # Add annotations\n",
+    "# Plot each metric separately\n",
+    "plot_metric(accuracy, 'Accuracy', '#4C72B0')\n",
+    "plot_metric(precision, 'Precision', '#55A868')\n",
+    "plot_metric(recall, 'Recall', '#C44E52')\n",
+    "plot_metric(f1_score, 'F1-Score', '#8172B2')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame(metrics).to_csv(\"metrics.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Saving trained models into pkl file to use in dashboard"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "# Save models\n",
+    "with open(\"rf_model.pkl\", \"wb\") as f:\n",
+    "    pickle.dump(modelr, f)\n",
     "\n",
-    "# 🔴 Plot F1-Score\n",
-    "metrics_df[\"F1-Score\"].plot(kind=\"bar\", ax=axes[1, 1], color=\"firebrick\", legend=True)\n",
-    "axes[1, 1].set_title(\"🔴 Model F1-Score\")\n",
-    "axes[1, 1].set_ylim(0, 1)\n",
-    "axes[1, 1].set_ylabel(\"Score\")\n",
-    "add_value_labels(axes[1, 1])  # Add annotations\n",
+    "with open(\"svc_model.pkl\", \"wb\") as f:\n",
+    "    pickle.dump(modelsvc, f)\n",
     "\n",
-    "# 📌 Adjust layout for a better fit\n",
-    "plt.tight_layout()\n",
+    "with open(\"dt_model.pkl\", \"wb\") as f:\n",
+    "    pickle.dump(modeld, f)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "\n",
-    "# 🎉 Show the plot!\n",
-    "plt.show()\n"
+    "with open(\"scaler.pkl\", \"wb\") as f:\n",
+    "    pickle.dump(scaler, f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Model': ['Random Forest', 'SVC', 'Decision Tree'],\n",
+       " 'Accuracy': [0.9534883720930233, 0.9279069767441861, 0.9465116279069767],\n",
+       " 'Precision': [0.9538906924045891, 0.927771792161327, 0.9466651081476662],\n",
+       " 'Recall': [0.9534883720930233, 0.9279069767441861, 0.9465116279069767],\n",
+       " 'F1-Score': [0.9531150398295376, 0.9273908901898491, 0.9461287249795657]}"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metrics"
    ]
   }
  ],
diff --git a/models2.ipynb b/models2.ipynb
index e410c3a9dbaabb3876d9a2964801f9fc0783b3c3..645e399453ef4e96967f0fd4d26b8fd0be08b75e 100644
--- a/models2.ipynb
+++ b/models2.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -19,12 +19,13 @@
     "from sklearn.preprocessing import StandardScaler\n",
     "from sklearn.model_selection import cross_val_score, KFold\n",
     "from sklearn.svm import SVC\n",
-    "from scipy.stats import randint"
+    "from scipy.stats import randint\n",
+    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -410,7 +411,7 @@
        "[2149 rows x 35 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -422,7 +423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -808,7 +809,7 @@
        "[2149 rows x 33 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -828,7 +829,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1214,7 +1215,7 @@
        "[1719 rows x 32 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1237,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1257,7 +1258,7 @@
        "Name: Diagnosis, Length: 1719, dtype: int64"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1275,7 +1276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1312,47 +1313,524 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for name, model in models.items():\n",
+    "#     #print(name)\n",
+    "#     print(f\"Running RandomizedSearchCV for {name}...\")\n",
+    "#     random_search = RandomizedSearchCV(model, param_distributions=param_grids[name], cv =kf, n_iter =100, random_state=42, n_jobs=-1)\n",
+    "#     random_search.fit(X_train_scaled, y_train)\n",
+    "#     print(f\"Best parameters for {name}: {random_search.best_params_}\\n\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Running RandomizedSearchCV for DecisionTree...\n",
+    "Best parameters for DecisionTree: {'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 4, 'min_samples_split': 9}\n",
+    "\n",
+    "Running RandomizedSearchCV for RandomForest...\n",
+    "Best parameters for RandomForest: {'criterion': 'entropy', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 7, 'n_estimators': 183}\n",
+    "\n",
+    "Running RandomizedSearchCV for svc...\n",
+    "Best parameters for svc: {'kernel': 'rbf', 'gamma': 0.001, 'C': 100}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running RandomizedSearchCV for DecisionTree...\n",
-      "Best parameters for DecisionTree: {'criterion': 'gini', 'max_depth': 50, 'min_samples_leaf': 4, 'min_samples_split': 9}\n",
+      "Classification Report:\n",
+      "               precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.92      0.98      0.95       277\n",
+      "           1       0.96      0.85      0.90       153\n",
+      "\n",
+      "    accuracy                           0.93       430\n",
+      "   macro avg       0.94      0.92      0.93       430\n",
+      "weighted avg       0.94      0.93      0.93       430\n",
+      "\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "Confusion Matrix:\n",
+      " [[272   5]\n",
+      " [ 23 130]]\n",
       "\n",
-      "Running RandomizedSearchCV for RandomForest...\n",
-      "Best parameters for RandomForest: {'criterion': 'entropy', 'max_depth': 50, 'min_samples_leaf': 1, 'min_samples_split': 7, 'n_estimators': 144}\n",
+      "=================================================\n",
       "\n",
-      "Running RandomizedSearchCV for svc...\n",
-      "Best parameters for svc: {'kernel': 'rbf', 'gamma': 0.001, 'C': 100}\n",
-      "\n"
+      "Accuracy Score:\n",
+      " 0.9348837209302325\n",
+      "[0.9348837209302325]\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "[0.9338733940478126]\n",
+      "[0.9365970306135856]\n"
      ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "for name, model in models.items():\n",
-    "    #print(name)\n",
-    "    print(f\"Running RandomizedSearchCV for {name}...\")\n",
-    "    random_search = RandomizedSearchCV(model, param_distributions=param_grids[name], cv =kf, n_iter =100, random_state=42, n_jobs=-1)\n",
-    "    random_search.fit(X_train_scaled, y_train)\n",
-    "    print(f\"Best parameters for {name}: {random_search.best_params_}\\n\")\n"
+    "accuracy_scores = [] \n",
+    "metrics = {\n",
+    "    \"Model\": [],\n",
+    "    \"Accuracy\": [],\n",
+    "    \"Precision\": [],\n",
+    "    \"Recall\": [],\n",
+    "    \"F1-Score\": []\n",
+    "}\n",
+    "modelr = RandomForestClassifier(criterion='entropy', max_depth=30, min_samples_leaf=2, min_samples_split=7, n_estimators=183, random_state=42)\n",
+    "modelr.fit(X_train_scaled, y_train)\n",
+    "y_predr = modelr.predict(X_test_scaled)\n",
+    "accuracyr = accuracy_score(y_test, y_predr)\n",
+    "report_r = classification_report(y_test, y_predr, output_dict=True)\n",
+    "\n",
+    "precision_r = report_r['weighted avg']['precision']\n",
+    "recall_r = report_r['weighted avg']['recall']\n",
+    "f1_r = report_r['weighted avg']['f1-score']\n",
+    "\n",
+    "metrics['Model'].append('Random Forest')\n",
+    "metrics['Accuracy'].append(accuracyr)\n",
+    "metrics['Precision'].append(precision_r)\n",
+    "metrics['Recall'].append(recall_r)\n",
+    "metrics['F1-Score'].append(f1_r)\n",
+    "\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predr))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predr))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracyr)\n",
+    "\n",
+    "accuracy_scores.append(accuracyr)\n",
+    "print(accuracy_scores)\n",
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
+    "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_r['0']['precision'], report_r['1']['precision']]\n",
+    "recall = [report_r['0']['recall'], report_r['1']['recall']]\n",
+    "f1_score = [report_r['0']['f1-score'], report_r['1']['f1-score']]\n",
+    "support = [report_r['0']['support'], report_r['1']['support']]\n",
+    "\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - Random Forest')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predr)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - Random Forest')\n",
+    "plt.show()\n"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 32,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification Report:\n",
+      "               precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.86      0.90      0.88       277\n",
+      "           1       0.79      0.73      0.76       153\n",
+      "\n",
+      "    accuracy                           0.84       430\n",
+      "   macro avg       0.83      0.81      0.82       430\n",
+      "weighted avg       0.84      0.84      0.84       430\n",
+      "\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "Confusion Matrix:\n",
+      " [[248  29]\n",
+      " [ 41 112]]\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "Accuracy Score:\n",
+      " 0.8372093023255814\n",
+      "[0.9348837209302325, 0.8372093023255814]\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "[0.9338733940478126, 0.835612739631147]\n",
+      "[0.9365970306135856, 0.835428690788246]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "Running RandomizedSearchCV for DecisionTree...\n",
-    "Best parameters for DecisionTree: {'criterion': 'gini', 'max_depth': 50, 'min_samples_leaf': 4, 'min_samples_split': 9}\n",
+    "modelsvc = SVC(kernel='rbf', gamma=0.001, C=100)\n",
+    "modelsvc.fit(X_train_scaled, y_train)\n",
+    "y_predsvc = modelsvc.predict(X_test_scaled)\n",
+    "accuracysvc = accuracy_score(y_test, y_predsvc)\n",
+    "report_svc = classification_report(y_test, y_predsvc, output_dict=True)\n",
     "\n",
-    "Running RandomizedSearchCV for RandomForest...\n",
-    "Best parameters for RandomForest: {'criterion': 'entropy', 'max_depth': 50, 'min_samples_leaf': 1, 'min_samples_split': 7, 'n_estimators': 144}\n",
+    "# Extract metrics\n",
+    "precision_svc = report_svc['weighted avg']['precision']\n",
+    "recall_svc = report_svc['weighted avg']['recall']\n",
+    "f1_svc = report_svc['weighted avg']['f1-score']\n",
     "\n",
-    "Running RandomizedSearchCV for svc...\n",
-    "Best parameters for svc: {'kernel': 'rbf', 'gamma': 0.001, 'C': 100}\n"
+    "metrics['Model'].append('SVC')\n",
+    "metrics['Accuracy'].append(accuracysvc)\n",
+    "metrics['Precision'].append(precision_svc)\n",
+    "metrics['Recall'].append(recall_svc)\n",
+    "metrics['F1-Score'].append(f1_svc)\n",
+    "\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predsvc))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predsvc))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracysvc)\n",
+    "\n",
+    "accuracy_scores.append(accuracysvc)\n",
+    "print(accuracy_scores)\n",
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
+    "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_svc['0']['precision'], report_svc['1']['precision']]\n",
+    "recall = [report_svc['0']['recall'], report_svc['1']['recall']]\n",
+    "f1_score = [report_svc['0']['f1-score'], report_svc['1']['f1-score']]\n",
+    "support = [report_svc['0']['support'], report_svc['1']['support']]\n",
+    "\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - SVC')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predsvc)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - SVC')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification Report:\n",
+      "               precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.91      0.97      0.94       277\n",
+      "           1       0.93      0.83      0.88       153\n",
+      "\n",
+      "    accuracy                           0.92       430\n",
+      "   macro avg       0.92      0.90      0.91       430\n",
+      "weighted avg       0.92      0.92      0.92       430\n",
+      "\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "Confusion Matrix:\n",
+      " [[268   9]\n",
+      " [ 26 127]]\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "Accuracy Score:\n",
+      " 0.9186046511627907\n",
+      "[0.9348837209302325, 0.8372093023255814, 0.9186046511627907]\n",
+      "\n",
+      "=================================================\n",
+      "\n",
+      "[0.9338733940478126, 0.835612739631147, 0.9174223348770127]\n",
+      "[0.9365970306135856, 0.835428690788246, 0.919484654326847]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "modeld = DecisionTreeClassifier(criterion='gini', max_depth=30, min_samples_leaf=4, min_samples_split=9)\n",
+    "modeld.fit(X_train_scaled, y_train)\n",
+    "y_predd = modeld.predict(X_test_scaled)\n",
+    "accuracyd = accuracy_score(y_test, y_predd)\n",
+    "report_d = classification_report(y_test, y_predd, output_dict=True)\n",
+    "\n",
+    "# Extract metrics\n",
+    "precision_d = report_d['weighted avg']['precision']\n",
+    "recall_d = report_d['weighted avg']['recall']\n",
+    "f1_d = report_d['weighted avg']['f1-score']\n",
+    "\n",
+    "metrics['Model'].append('Decision Tree')\n",
+    "metrics['Accuracy'].append(accuracyd)\n",
+    "metrics['Precision'].append(precision_d)\n",
+    "metrics['Recall'].append(recall_d)\n",
+    "metrics['F1-Score'].append(f1_d)\n",
+    "\n",
+    "print('Classification Report:\\n', classification_report(y_test, y_predd))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Confusion Matrix:\\n', confusion_matrix(y_test, y_predd))\n",
+    "print('\\n=================================================\\n')\n",
+    "print('Accuracy Score:\\n', accuracyd)\n",
+    "\n",
+    "accuracy_scores.append(accuracyd)\n",
+    "print(accuracy_scores)\n",
+    "print('\\n=================================================\\n')\n",
+    "print(metrics['F1-Score'])\n",
+    "print(metrics['Precision'])\n",
+    "\n",
+    "# Plot Classification Report\n",
+    "classes = ['Class 0', 'Class 1']\n",
+    "precision = [report_d['0']['precision'], report_d['1']['precision']]\n",
+    "recall = [report_d['0']['recall'], report_d['1']['recall']]\n",
+    "f1_score = [report_d['0']['f1-score'], report_d['1']['f1-score']]\n",
+    "support = [report_d['0']['support'], report_d['1']['support']]\n",
+    "\n",
+    "x = np.arange(len(classes))\n",
+    "width = 0.25\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(8, 6))\n",
+    "bar1 = ax.bar(x - width, precision, width, label='Precision', color='#7f03fc')\n",
+    "bar2 = ax.bar(x, recall, width, label='Recall', color='#d19bcf')\n",
+    "bar3 = ax.bar(x + width, f1_score, width, label='F1-Score', color='#65a0f7')\n",
+    "\n",
+    "ax.set_xlabel('Classes')\n",
+    "ax.set_ylabel('Scores')\n",
+    "ax.set_title('Classification Report Visualization - Decision Tree')\n",
+    "ax.set_xticks(x)\n",
+    "ax.set_xticklabels(classes)\n",
+    "ax.legend()\n",
+    "\n",
+    "for bar in [bar1, bar2, bar3]:\n",
+    "    for rect in bar:\n",
+    "        height = rect.get_height()\n",
+    "        ax.annotate(f'{height:.2f}',\n",
+    "                    xy=(rect.get_x() + rect.get_width() / 2, height),\n",
+    "                    xytext=(0, 3),\n",
+    "                    textcoords='offset points',\n",
+    "                    ha='center', va='bottom')\n",
+    "\n",
+    "support_text = f'Class 0 Support: {support[0]} | Class 1 Support: {support[1]}'\n",
+    "ax.annotate(support_text, xy=(1, 0), xycoords='axes fraction', fontsize=10, color='black', ha='right', va='bottom')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Plot Confusion Matrix\n",
+    "conf_matrix = confusion_matrix(y_test, y_predd)\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='coolwarm')\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix - Decision Tree')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "models = metrics['Model']\n",
+    "accuracy = metrics['Accuracy']\n",
+    "precision = metrics['Precision']\n",
+    "recall = metrics['Recall']\n",
+    "f1_score = metrics['F1-Score']\n",
+    "\n",
+    "# Plotting function\n",
+    "def plot_metric(data, title, color):\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    plt.bar(models, data, color=color)\n",
+    "    plt.xlabel('Models')\n",
+    "    plt.ylabel(title)\n",
+    "    plt.title(f'{title} Comparison')\n",
+    "\n",
+    "    # Adding values on top of bars\n",
+    "    for i, value in enumerate(data):\n",
+    "        plt.text(i, value + 0.01, f'{value:.2f}', ha='center', fontsize=10)\n",
+    "\n",
+    "    plt.show()\n",
+    "\n",
+    "# Plot each metric separately\n",
+    "plot_metric(accuracy, 'Accuracy', '#4C72B0')\n",
+    "plot_metric(precision, 'Precision', '#55A868')\n",
+    "plot_metric(recall, 'Recall', '#C44E52')\n",
+    "plot_metric(f1_score, 'F1-Score', '#8172B2')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/output.png b/output.png
new file mode 100644
index 0000000000000000000000000000000000000000..c15673e611bdac1d6365405d243f8468870fee99
Binary files /dev/null and b/output.png differ
diff --git a/preprocessing.ipynb b/preprocessing.ipynb
index 6e521fac30afa7e9f9f4c2fcfa1e309ef37d11a2..cdd23294ceb3c83f33688cea657a8bf9b93ea1ab 100644
--- a/preprocessing.ipynb
+++ b/preprocessing.ipynb
@@ -2,52 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['c:\\\\Users\\\\sarah\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313\\\\python313.zip', 'c:\\\\Users\\\\sarah\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313\\\\DLLs', 'c:\\\\Users\\\\sarah\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313\\\\Lib', 'c:\\\\Users\\\\sarah\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313', '', 'C:\\\\Users\\\\sarah\\\\AppData\\\\Roaming\\\\Python\\\\Python313\\\\site-packages', 'C:\\\\Users\\\\sarah\\\\AppData\\\\Roaming\\\\Python\\\\Python313\\\\site-packages\\\\win32', 'C:\\\\Users\\\\sarah\\\\AppData\\\\Roaming\\\\Python\\\\Python313\\\\site-packages\\\\win32\\\\lib', 'C:\\\\Users\\\\sarah\\\\AppData\\\\Roaming\\\\Python\\\\Python313\\\\site-packages\\\\Pythonwin', 'c:\\\\Users\\\\sarah\\\\AppData\\\\Local\\\\Programs\\\\Python\\\\Python313\\\\Lib\\\\site-packages']\n"
-     ]
-    },
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'pandas'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mModuleNotFoundError\u001b[39m                       Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 3\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01msys\u001b[39;00m\n\u001b[32m      2\u001b[39m \u001b[38;5;28mprint\u001b[39m(sys.path)  \u001b[38;5;66;03m# Check where Python is looking for packages\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m3\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpd\u001b[39;00m\n\u001b[32m      4\u001b[39m \u001b[38;5;28mprint\u001b[39m(pd.__version__)  \u001b[38;5;66;03m# Should print the installed pandas version\u001b[39;00m\n",
-      "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'pandas'"
-     ]
-    }
-   ],
-   "source": [
-    "import sys\n",
-    "print(sys.path)  # Check where Python is looking for packages\n",
-    "import pandas as pd\n",
-    "print(pd.__version__)  # Should print the installed pandas version\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'pandas'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
-      "\u001b[31mModuleNotFoundError\u001b[39m                       Traceback (most recent call last)",
-      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpd\u001b[39;00m\n\u001b[32m      2\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnumpy\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnp\u001b[39;00m\n\u001b[32m      3\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mmatplotlib\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mpyplot\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mplt\u001b[39;00m\n",
-      "\u001b[31mModuleNotFoundError\u001b[39m: No module named 'pandas'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -58,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -444,7 +401,7 @@
        "[2149 rows x 35 columns]"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -456,7 +413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -765,7 +722,7 @@
        "[8 rows x 34 columns]"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -776,7 +733,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -820,7 +777,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -832,7 +789,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -842,7 +799,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1228,7 +1185,7 @@
        "[2149 rows x 33 columns]"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1239,7 +1196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1281,7 +1238,7 @@
        "dtype: bool"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1323,7 +1280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -1453,7 +1410,7 @@
        "[2149 rows x 4 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1465,7 +1422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -1474,13 +1431,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1495,7 +1452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1662,7 +1619,7 @@
        "[2149 rows x 6 columns]"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1712,7 +1669,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1879,7 +1836,7 @@
        "[2149 rows x 6 columns]"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1912,7 +1869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -2067,7 +2024,7 @@
        "[2149 rows x 5 columns]"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2080,7 +2037,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -2089,13 +2046,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2129,7 +2086,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -2296,7 +2253,7 @@
        "[2149 rows x 6 columns]"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2309,7 +2266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -2318,13 +2275,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2356,7 +2313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -2511,7 +2468,7 @@
        "[2149 rows x 5 columns]"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2524,7 +2481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -2533,13 +2490,13 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2554,7 +2511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -2563,13 +2520,13 @@
        "<Axes: xlabel='Diagnosis', ylabel='count'>"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2580,12 +2537,12 @@
    ],
    "source": [
     "#0 indicates No and 1 indicates Yes\n",
-    "sns.countplot(x=\"Diagnosis\", hue=\"Diagnosis\", data=a_df)"
+    "sns.countplot(x=\"Diagnosis\", data=a_df)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2596,7 +2553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -2617,7 +2574,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -2626,7 +2583,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2652,7 +2609,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -2661,7 +2618,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2669,6 +2626,17 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.barplot(x=correlationy.index, y=correlationy.values, palette=\"coolwarm\")\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -2684,20 +2652,9 @@
       "Name: Diagnosis, dtype: float64\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.barplot(x=correlationy.index, y=correlationy.values, palette=\"coolwarm\")\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2705,17 +2662,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
-      "\n",
-      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
-      "\n",
-      "  sns.barplot(x=correlationy.index, y=correlationy.values, palette=\"coolwarm\")\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -2731,9 +2677,20 @@
       "Name: Diagnosis, dtype: float64\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.barplot(x=correlationy.index, y=correlationy.values, palette=\"coolwarm\")\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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",
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00kvq1KmTvvzyS23dulXbtm1T7dq1HWo4deqUAgMDM82fVZvk3HadOnUq2/cyY7ok9ejRQ/Pnz9fhw4fVuXNnBQQEqGHDhg6niV7NZrNp7dq1at26tSZNmqS6deuqdOnSioyMVHJycrbzZYTigwcPZtvnRlz9unh4eEhSju/3iRMnsr1eNMMPP/xgv25t7ty52rRpk7Zt26ZRo0Zdc/kArMGoiQBuOqVKlZIk/e9//1P58uWz7ZeYmKivvvpKY8aM0YgRI+ztly5dyjH4XM3T0zPLwRxOnjxpr+VKV1/Mn9HnrbfeynbktOx+vEr/jHoXHR2tL7/8Uo888kiOtWb8qLvyOpEMx44dU5EiRVS8ePEc682pvVSpUqpVq5ZeeeWVLOfJ6Qf+Bx98oKZNm2rWrFkO7Tn9CL6Wa21vVu/P9WrevLleeuklfffdd1q7dq3GjBljb4+OjlZYWJj9+b/RhQsXtGbNGlWsWDHHH/EffPCBHn/8cft1kxlOnjzpMNx+yZIl7X9kuFJCQsJ111iyZMls30tJDu/nE088oSeeeELnzp3Td999pzFjxqhDhw765Zdfsv1eKF++vObNmydJ+uWXX7RkyRKNHTtWKSkpDtdHXqlMmTKqWbOmoqOjcxxV1EqlS5fO8To/6Z/r6Nzc3PTVV185/PHh888/z+fqADiLI2IAbjqtW7eWq6urfvvtt0xHzK48cmaz2WSMsf+FOcO7777rMPqdlPNfoUNDQ7Vnzx6Htl9++cVh4IKc3H333SpWrJj279+fbb3u7u7Zzt+7d28FBQVp2LBh+vPPP7Pss3TpUklS1apVVbZsWX300UcOp6GdO3dOn332mX0kxevVoUMH/fTTT6pYsWKW25FTELPZbJneiz179mQazdGZIwIZIiIi5OXl5TDggyT98ccfWrduXZ6GogYNGsjPz09Tp05VQkKCWrZsKemfI2U7d+7UkiVLFB4efs173eVm+/JKWlqaBg4cqFOnTmn48OE59s3qfVqxYkWmfa9Jkyb66aefHAbHkf4JANerefPm2r9/v3788UeH9kWLFslms6lZs2aZ5ilatKjatm2rUaNGKSUlRfv27XNqXVWqVNGLL76omjVrZlrf1V566SWdOXNGkZGRWZ7eefbsWUVHRzu13rzQtm1b/fLLL/ZTNbOScdsMFxcXe9uFCxf0/vvvW1EiACdwRAzATSc0NFTjx4/XqFGj9Pvvv6tNmzYqXry4/vrrL/3www8qWrSoxo0bJz8/P91zzz2aPHmySpUqpdDQUG3YsEHz5s3LdCPdGjVqSJLmzJkjX19feXp6KiwsTCVLllSPHj302GOPacCAAercubMOHz6sSZMmOX0/Kx8fH7311lvq2bOnTp8+rYceekgBAQE6ceKEdu/erRMnTmQ6SnQlf39/ffHFF+rQoYPq1KnjcEPnX3/9VR988IF2796tBx98UEWKFNGkSZP06KOPqkOHDurXr58uXbqkyZMn6++//9Zrr7123a+79M8w3qtXr1ajRo0UGRmpqlWr6uLFizp06JBWrlyp2bNnZ3u0pUOHDpowYYLGjBljH21v/PjxCgsLcxgR09fXV+XLl9cXX3yh5s2bq0SJEvb372rFihXTSy+9pBdeeEGPP/64unXrplOnTmncuHHy9PS0H7XKCy4uLmrSpIm+/PJLhYWF2Yf6v/vuu+Xh4aG1a9cqMjLymsupWbOmJGnatGnq2bOn3NzcVLVqVfn6+uZJnX/99Ze2bNkiY4ySk5PtN3TevXu3Bg8efM3RLTt06KCFCxeqWrVqqlWrlnbs2KHJkydnel8HDRqk+fPnq23btho/frwCAwP10Ucf2YdPv/IaRWcNHjxYixYtUvv27TV+/HiVL19eK1as0MyZM/X000/br1ns27evvLy8dPfdd6tMmTJKSEhQVFSU/P39deedd2a57D179mjgwIF6+OGHVblyZbm7u2vdunXas2ePwxHzrDz88MN66aWXNGHCBP3888/q3bu3/YbOW7du1TvvvKOuXbvmOIR9Xho0aJAWL16s+++/XyNGjFCDBg104cIFbdiwQR06dFCzZs3Uvn17TZkyRd27d9dTTz2lU6dO6fXXX88UsgEUoAIcKAQAspQxMt62bdty7Pf555+bZs2aGT8/P+Ph4WHKly9vHnroIbNmzRp7nz/++MN07tzZFC9e3Pj6+po2bdqYn376KcuREKdOnWrCwsKMi4uLwwhn6enpZtKkSaZChQrG09PT1K9f36xbty7bURM//fTTLOvdsGGDad++vSlRooRxc3MzZcuWNe3bt8+2/9USEhLM8OHDze233268vb2Nh4eHqVSpkunXr5/Zu3dvptemYcOGxtPT0xQtWtQ0b97cbNq0yaFPxqhtJ06cyLSu8uXLm/bt22dZx4kTJ0xkZKQJCwszbm5upkSJEqZevXpm1KhR5uzZs/Z+umrkw0uXLpnnn3/elC1b1nh6epq6deuazz//3PTs2dOUL1/eYR1r1qwxderUMR4eHkaS/b26etTEDO+++66pVauWcXd3N/7+/ub+++/PNJpfz549TdGiRTNtT8br4Ixp06YZSaZv374O7S1btjSSzPLlyx3asxuVcOTIkSY4ONgUKVLEYWS/7F53Z0e10xUjjBYpUsT4+fmZmjVrmqeeesrExMRk6p9VfWfOnDG9e/c2AQEBxtvb2/znP/8xGzduzLKGn376ybRo0cJ4enqaEiVKmN69e5v33nvPSDK7d+92qP/222/PtP6s3vvDhw+b7t27m5IlSxo3NzdTtWpVM3nyZIdRQN977z3TrFkzExgYaNzd3U1wcLDp0qWL2bNnj73P1aMm/vXXX6ZXr16mWrVqpmjRosbHx8fUqlXLvPnmmyY1NfWar60x/3yGH3roIVOmTBnj5uZm/Pz8TEREhJk8ebJJSkqy98vNqIlXf/6y2sez+r46c+aMefbZZ025cuWMm5ubCQgIMO3btzc///yzvc/8+fNN1apVjYeHh6lQoYKJiooy8+bNy7R8Rk0ECobNGO7qBwAA8sZTTz2ljz/+WKdOncrxlFsAuNVxaiIAALgu48ePV3BwsCpUqKCzZ8/qq6++0rvvvqsXX3yREAYA10AQAwAA18XNzU2TJ0/WH3/8odTUVFWuXFlTpkzRs88+W9ClAcC/HqcmAgAAAIDFGL4eAAAAACxGEAMAAAAAixHEAAAAAMBiDNaRB9LT03Xs2DH5+vrKZrMVdDkAAAAACogxRsnJyQoODs7x5vYEsTxw7NgxhYSEFHQZAAAAAP4ljh49qttuuy3b6QSxPODr6yvpnxfbz8+vgKsBAAAAUFCSkpIUEhJizwjZIYjlgYzTEf38/AhiAAAAAK55yRKDdQAAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMdeCLuBWNnL67wVdArIRFVmhoEsAAABAIcYRMQAAAACwGEEMAAAAACxGEAMAAAAAixHEAAAAAMBiBDEAAAAAsBhBDAAAAAAsRhADAAAAAIsRxAAAAADAYgQxAAAAALDYTRfEZs6cqbCwMHl6eqpevXrauHFjjv03bNigevXqydPTUxUqVNDs2bOz7fvJJ5/IZrOpU6dOeVw1AAAAAPyfmyqILV68WIMGDdKoUaO0c+dONW7cWG3bttWRI0ey7H/w4EG1a9dOjRs31s6dO/XCCy8oMjJSn332Waa+hw8f1vPPP6/GjRvn92YAAAAAuMXdVEFsypQp6t27t/r06aPq1atr6tSpCgkJ0axZs7LsP3v2bJUrV05Tp05V9erV1adPHz355JN6/fXXHfqlpaXp0Ucf1bhx41ShQgUrNgUAAADALeymCWIpKSnasWOHWrVq5dDeqlUrbd68Oct5YmJiMvVv3bq1tm/frsuXL9vbxo8fr9KlS6t3795O1XLp0iUlJSU5PAAAAADAWTdNEDt58qTS0tIUGBjo0B4YGKiEhIQs50lISMiyf2pqqk6ePClJ2rRpk+bNm6e5c+c6XUtUVJT8/f3tj5CQkFxuDQAAAIBb2U0TxDLYbDaH58aYTG3X6p/RnpycrMcee0xz585VqVKlnK5h5MiRSkxMtD+OHj2aiy0AAAAAcKtzLegCnFWqVCm5uLhkOvp1/PjxTEe9MgQFBWXZ39XVVSVLltS+fft06NAh3Xffffbp6enpkiRXV1fFxcWpYsWKmZbr4eEhDw+PG90kAAAAALeom+aImLu7u+rVq6fVq1c7tK9evVqNGjXKcp6IiIhM/aOjo1W/fn25ubmpWrVq2rt3r3bt2mV/dOzYUc2aNdOuXbs45RAAAABAvrhpjohJ0pAhQ9SjRw/Vr19fERERmjNnjo4cOaL+/ftL+ueUwT///FOLFi2SJPXv318zZszQkCFD1LdvX8XExGjevHn6+OOPJUmenp6qUaOGwzqKFSsmSZnaAQAAACCv3FRBrGvXrjp16pTGjx+v+Ph41ahRQytXrlT58uUlSfHx8Q73FAsLC9PKlSs1ePBgvf322woODtb06dPVuXPngtoEAAAAAJDNZIxegeuWlJQkf39/JSYmys/Pz+n5Rk7/PR+rwo2IiuR+cgAAAMg9Z7PBTXONGAAAAAAUFgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACwGEEMAAAAACxGEAMAAAAAixHEAAAAAMBiBDEAAAAAsBhBDAAAAAAsRhADAAAAAIsRxAAAAADAYgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACwGEEMAAAAACxGEAMAAAAAixHEAAAAAMBiBDEAAAAAsBhBDAAAAAAsRhADAAAAAIsRxAAAAADAYgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACwGEEMAAAAACxGEAMAAAAAixHEAAAAAMBiBDEAAAAAsBhBDAAAAAAsRhADAAAAAIsRxAAAAADAYgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACwGEEMAAAAACxGEAMAAAAAixHEAAAAAMBiBDEAAAAAsNhNF8RmzpypsLAweXp6ql69etq4cWOO/Tds2KB69erJ09NTFSpU0OzZsx2mL126VPXr11exYsVUtGhR3XHHHXr//ffzcxMAAAAA3OJuqiC2ePFiDRo0SKNGjdLOnTvVuHFjtW3bVkeOHMmy/8GDB9WuXTs1btxYO3fu1AsvvKDIyEh99tln9j4lSpTQqFGjFBMToz179uiJJ57QE088oW+++caqzQIAAABwi7EZY0xBF+Gshg0bqm7dupo1a5a9rXr16urUqZOioqIy9R8+fLiWL1+u2NhYe1v//v21e/duxcTEZLueunXrqn379powYYJTdSUlJcnf31+JiYny8/NzentGTv/d6b6wVlRkhYIuAQAAADchZ7PBTXNELCUlRTt27FCrVq0c2lu1aqXNmzdnOU9MTEym/q1bt9b27dt1+fLlTP2NMVq7dq3i4uJ0zz33ZFvLpUuXlJSU5PAAAAAAAGfdNEHs5MmTSktLU2BgoEN7YGCgEhISspwnISEhy/6pqak6efKkvS0xMVE+Pj5yd3dX+/bt9dZbb6lly5bZ1hIVFSV/f3/7IyQk5Aa2DAAAAMCt5qYJYhlsNpvDc2NMprZr9b+63dfXV7t27dK2bdv0yiuvaMiQIVq/fn22yxw5cqQSExPtj6NHj17HlgAAAAC4VbkWdAHOKlWqlFxcXDId/Tp+/Himo14ZgoKCsuzv6uqqkiVL2tuKFCmiSpUqSZLuuOMOxcbGKioqSk2bNs1yuR4eHvLw8LiBrQEAAABwK7tpjoi5u7urXr16Wr16tUP76tWr1ahRoyzniYiIyNQ/Ojpa9evXl5ubW7brMsbo0qVLN140AAAAAGThpjkiJklDhgxRjx49VL9+fUVERGjOnDk6cuSI+vfvL+mfUwb//PNPLVq0SNI/IyTOmDFDQ4YMUd++fRUTE6N58+bp448/ti8zKipK9evXV8WKFZWSkqKVK1dq0aJFDiMzAgAAAEBeuqmCWNeuXXXq1CmNHz9e8fHxqlGjhlauXKny5ctLkuLj4x3uKRYWFqaVK1dq8ODBevvttxUcHKzp06erc+fO9j7nzp3TgAED9Mcff8jLy0vVqlXTBx98oK5du1q+fQAAAABuDTfVfcT+rbiPWOHDfcQAAABwPQrdfcQAAAAAoLAgiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFXAu6AOBW9vH65IIuAdno1tS3oEsAAACFGEfEAAAAAMBiBDEAAAAAsBhBDAAAAAAsRhADAAAAAIsRxAAAAADAYgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACw2E0XxGbOnKmwsDB5enqqXr162rhxY479N2zYoHr16snT01MVKlTQ7NmzHabPnTtXjRs3VvHixVW8eHG1aNFCP/zwQ35uAgAAAIBb3E0VxBYvXqxBgwZp1KhR2rlzpxo3bqy2bdvqyJEjWfY/ePCg2rVrp8aNG2vnzp164YUXFBkZqc8++8zeZ/369erWrZu+/fZbxcTEqFy5cmrVqpX+/PNPqzYLAAAAwC3GZowxBV2Esxo2bKi6detq1qxZ9rbq1aurU6dOioqKytR/+PDhWr58uWJjY+1t/fv31+7duxUTE5PlOtLS0lS8eHHNmDFDjz/+uFN1JSUlyd/fX4mJifLz83N6e0ZO/93pvrBWVGQFS9bz8fpkS9aD3OvW1LegSwAAADchZ7PBTXNELCUlRTt27FCrVq0c2lu1aqXNmzdnOU9MTEym/q1bt9b27dt1+fLlLOc5f/68Ll++rBIlSmRby6VLl5SUlOTwAAAAAABn3TRB7OTJk0pLS1NgYKBDe2BgoBISErKcJyEhIcv+qampOnnyZJbzjBgxQmXLllWLFi2yrSUqKkr+/v72R0hISC63BgAAAMCt7KYJYhlsNpvDc2NMprZr9c+qXZImTZqkjz/+WEuXLpWnp2e2yxw5cqQSExPtj6NHj+ZmEwAAAADc4lwLugBnlSpVSi4uLpmOfh0/fjzTUa8MQUFBWfZ3dXVVyZIlHdpff/11vfrqq1qzZo1q1aqVYy0eHh7y8PC4jq0AAAAAgJvoiJi7u7vq1aun1atXO7SvXr1ajRo1ynKeiIiITP2jo6NVv359ubm52dsmT56sCRMmaNWqVapfv37eFw8AAAAAV7hpgpgkDRkyRO+++67mz5+v2NhYDR48WEeOHFH//v0l/XPK4JUjHfbv31+HDx/WkCFDFBsbq/nz52vevHl6/vnn7X0mTZqkF198UfPnz1doaKgSEhKUkJCgs2fPWr59AAAAAG4NN82piZLUtWtXnTp1SuPHj1d8fLxq1KihlStXqnz58pKk+Ph4h3uKhYWFaeXKlRo8eLDefvttBQcHa/r06ercubO9z8yZM5WSkqKHHnrIYV1jxozR2LFjLdkuAAAAALeWXN9H7N5779XSpUtVrFgxh/akpCR16tRJ69aty8v6bgrcR6zw4T5i4D5iAADgeuTbfcTWr1+vlJSUTO0XL17Uxo0bc7s4AAAAALjlOH1q4p49e+z/3r9/v8NohGlpaVq1apXKli2bt9UBAAAAQCHkdBC74447ZLPZZLPZdO+992aa7uXlpbfeeitPiwMAAACAwsjpIHbw4EEZY1ShQgX98MMPKl26tH2au7u7AgIC5OLiki9FAgAAAEBh4nQQyxiZMD09Pd+KAQAAAIBbwXUNX//LL79o/fr1On78eKZgNnr06DwpDAAAAAAKq1wHsblz5+rpp59WqVKlFBQUJJvNZp9ms9kIYgAAAABwDbkOYi+//LJeeeUVDR8+PD/qAQAAAIBCL9f3ETtz5owefvjh/KgFAAAAAG4JuQ5iDz/8sKKjo/OjFgAAAAC4JeT61MRKlSrppZde0pYtW1SzZk25ubk5TI+MjMyz4gAAAACgMMp1EJszZ458fHy0YcMGbdiwwWGazWYjiAEAAADANeQ6iB08eDA/6gAAAACAW0aurxHLkJKSori4OKWmpuZlPQAAAABQ6OU6iJ0/f169e/eWt7e3br/9dh05ckTSP9eGvfbaa3leIAAAAAAUNrkOYiNHjtTu3bu1fv16eXp62ttbtGihxYsX52lxAAAAAFAY5foasc8//1yLFy/WXXfdJZvNZm8PDw/Xb7/9lqfFAQAAAEBhlOsjYidOnFBAQECm9nPnzjkEMwAAAABA1nIdxO68806tWLHC/jwjfM2dO1cRERF5VxkAAAAAFFK5PjUxKipKbdq00f79+5Wamqpp06Zp3759iomJyXRfMQAAAABAZrk+ItaoUSNt2rRJ58+fV8WKFRUdHa3AwEDFxMSoXr16+VEjAAAAABQquT4iJkk1a9bUe++9l9e1AAAAAMAtwakglpSUJD8/P/u/c5LRDwAAAACQNaeCWPHixRUfH6+AgAAVK1Ysy9ERjTGy2WxKS0vL8yIBAAAAoDBxKoitW7dOJUqUkCR9++23+VoQAAAAABR2TgWxJk2aZPlvAAAAAEDu5XrUxAULFujTTz/N1P7pp58ygAcAAAAAOCHXQey1115TqVKlMrUHBATo1VdfzZOiAAAAAKAwy3UQO3z4sMLCwjK1ly9fXkeOHMmTogAAAACgMMt1EAsICNCePXsyte/evVslS5bMk6IAAAAAoDDLdRB75JFHFBkZqW+//VZpaWlKS0vTunXr9Oyzz+qRRx7JjxoBAAAAoFBxatTEK7388ss6fPiwmjdvLlfXf2ZPT0/X448/zjViAAAAAOCEXAcxd3d3LV68WBMmTNDu3bvl5eWlmjVrqnz58vlRHwAAAAAUOrkOYhmqVKmiKlWq5GUtAAAAAHBLcCqIDRkyRBMmTFDRokU1ZMiQHPtOmTIlTwoDAAAAgMLKqSC2c+dOXb58WZL0448/ymazZdkvu3YAAAAAwP9xKohNmzZNfn5+kqT169fnZz0AAAAAUOg5NXx9nTp1dPLkSUlShQoVdOrUqXwtCgAAAAAKM6eCWLFixXTw4EFJ0qFDh5Senp6vRQEAAABAYebUqYmdO3dWkyZNVKZMGdlsNtWvX18uLi5Z9v3999/ztEAAAAAAKGycCmJz5szRgw8+qAMHDigyMlJ9+/aVr69vftcGAAAAAIWSU0Fsz549atWqldq0aaMdO3bo2WefJYgBAAAAwHXK9WAdGzZsUEpKSr4WBQAAAACFGYN1AAAAAIDFGKwDAAAAACx20w3WMXPmTE2ePFnx8fG6/fbbNXXqVDVu3Djb/hs2bNCQIUO0b98+BQcHa9iwYerfv799+r59+zR69Gjt2LFDhw8f1ptvvqlBgwZZsCUAAAAAblVOBTFJatOmjSQV6GAdixcv1qBBgzRz5kzdfffdeuedd9S2bVvt379f5cqVy9T/4MGDateunfr27asPPvhAmzZt0oABA1S6dGl17txZknT+/HlVqFBBDz/8sAYPHmz1JgEAAAC4BTl1jdiVFixYIF9fXx04cEDffPONLly4IEkyxuR5cVebMmWKevfurT59+qh69eqaOnWqQkJCNGvWrCz7z549W+XKldPUqVNVvXp19enTR08++aRef/11e58777xTkydP1iOPPCIPD4983wYAAAAAyHUQO336tJo3b64qVaqoXbt2io+PlyT16dNHzz33XJ4XmCElJUU7duxQq1atHNpbtWqlzZs3ZzlPTExMpv6tW7fW9u3bdfny5euu5dKlS0pKSnJ4AAAAAICzch3EBg0aJDc3Nx05ckTe3t729q5du2rVqlV5WtyVTp48qbS0NAUGBjq0BwYGKiEhIct5EhISsuyfmppqH47/ekRFRcnf39/+CAkJue5lAQAAALj15DqIRUdHa+LEibrtttsc2itXrqzDhw/nWWHZsdlsDs+NMZnartU/q/bcGDlypBITE+2Po0ePXveyAAAAANx6nB6sI8O5c+ccjoRlOHnyZL5eY1WqVCm5uLhkOvp1/PjxTEe9MgQFBWXZ39XVVSVLlrzuWjw8PLieDAAAAMB1y/URsXvuuUeLFi2yP7fZbEpPT9fkyZPVrFmzPC3uSu7u7qpXr55Wr17t0L569Wo1atQoy3kiIiIy9Y+Ojlb9+vXl5uaWb7UCAAAAQE5yfURs8uTJatq0qbZv366UlBQNGzZM+/bt0+nTp7Vp06b8qNFuyJAh6tGjh+rXr6+IiAjNmTNHR44csd8XbOTIkfrzzz/tQbF///6aMWOGhgwZor59+yomJkbz5s3Txx9/bF9mSkqK9u/fb//3n3/+qV27dsnHx0eVKlXK1+0BAAAAcGvKdRALDw/Xnj17NGvWLLm4uOjcuXN68MEH9d///ldlypTJjxrtunbtqlOnTmn8+PGKj49XjRo1tHLlSpUvX16SFB8fryNHjtj7h4WFaeXKlRo8eLDefvttBQcHa/r06fZ7iEnSsWPHVKdOHfvz119/Xa+//rqaNGmi9evX5+v2AAAAALg12YwVNwAr5JKSkuTv76/ExET5+fk5Pd/I6b/nY1W4EVGRFSxZz8frky1ZD3KvW1Prb1oPAABufs5mg1wfEZOkv//+W/PmzVNsbKxsNpvCw8P15JNPyt/f/7oLBgAAAIBbRa4H69i+fbsqVqyoN998U6dPn9bJkyc1ZcoUVaxYUT/++GN+1AgAAAAAhUquj4gNHjxYHTt21Ny5c+Xq+s/sqamp6tOnjwYNGqTvvvsuz4sEAAAAgMIk10Fs+/btDiFMklxdXTVs2DDVr18/T4sDAAAAgMIo16cm+vn5OYxMmOHo0aPy9eXidgAAAAC4llwHsa5du6p3795avHixjh49qj/++EOffPKJ+vTpo27duuVHjQAAAABQqOT61MTXX39dNptNjz/+uFJTUyVJbm5uevrpp/Xaa6/leYEAAAAAUNjkOoi5u7tr2rRpioqK0m+//SZjjCpVqiRvb+/8qA8AAAAACh2nT01MS0vTnj17dOHCBUmSt7e3atasqVq1aslms2nPnj1KT0/Pt0IBAAAAoLBwOoi9//77evLJJ+Xu7p5pmru7u5588kl99NFHeVocAAAAABRGTgexefPm6fnnn5eLi0umaS4uLho2bJjmzJmTp8UBAAAAQGHkdBCLi4vTXXfdle30O++8U7GxsXlSFAAAAAAUZk4HsXPnzikpKSnb6cnJyTp//nyeFAUAAAAAhZnTQaxy5cravHlzttO///57Va5cOU+KAgAAAIDCzOnh67t3764XX3xRjRo1Uq1atRym7d69W6NHj9awYcPyvEAAKMx+/OVkQZeAbNStUqqgSwAAFGJOB7HBgwfr66+/Vr169dSiRQtVq1ZNNptNsbGxWrNmje6++24NHjw4P2sFAAAAgELB6SDm5uam6Ohovfnmm/roo4/03XffyRijKlWq6JVXXtGgQYPk5uaWn7UCAAAAQKHgdBCT/gljw4YN4xREAAAAALgBTg/WAQAAAADIGwQxAAAAALBYrk5NBAAAeeuvvVsKugTkILDmXQVdAoBCiiNiAAAAAGAxghgAAAAAWCzXpyampaVp4cKFWrt2rY4fP6709HSH6evWrcuz4gAAAACgMMp1EHv22We1cOFCtW/fXjVq1JDNZsuPugAAAACg0Mp1EPvkk0+0ZMkStWvXLj/qAQAAAIBCL9fXiLm7u6tSpUr5UQsAAAAA3BJyHcSee+45TZs2TcaY/KgHAAAAAAq9XJ+a+P333+vbb7/V119/rdtvv11ubm4O05cuXZpnxQEAAABAYZTrIFasWDE98MAD+VELAAAAANwSch3EFixYkB91AAAAAMAtI9dBLMOJEycUFxcnm82mKlWqqHTp0nlZFwAAAAAUWrkerOPcuXN68sknVaZMGd1zzz1q3LixgoOD1bt3b50/fz4/agQAAACAQiXXQWzIkCHasGGDvvzyS/3999/6+++/9cUXX2jDhg167rnn8qNGAAAAAChUcn1q4meffab//e9/atq0qb2tXbt28vLyUpcuXTRr1qy8rA8AAAAACp1cHxE7f/68AgMDM7UHBARwaiIAAAAAOCHXQSwiIkJjxozRxYsX7W0XLlzQuHHjFBERkafFAQAAAEBhlOtTE6dNm6Y2bdrotttuU+3atWWz2bRr1y55enrqm2++yY8aAQAAAKBQyXUQq1Gjhn799Vd98MEH+vnnn2WM0SOPPKJHH31UXl5e+VEjAAAAABQq13UfMS8vL/Xt2zevawEAAACAW4JTQWz58uVq27at3NzctHz58hz7duzYMU8KAwAAAIDCyqkg1qlTJyUkJCggIECdOnXKtp/NZlNaWlpe1QYAAAAAhZJTQSw9PT3LfwMAAAAAci/Xw9cvWrRIly5dytSekpKiRYsW5UlRAAAAAFCY5TqIPfHEE0pMTMzUnpycrCeeeCJPigIAAACAwizXQcwYI5vNlqn9jz/+kL+/f54UBQAAAACFmdNBrE6dOqpbt65sNpuaN2+uunXr2h+1a9dW48aN1aJFi/ysVZI0c+ZMhYWFydPTU/Xq1dPGjRtz7L9hwwbVq1dPnp6eqlChgmbPnp2pz2effabw8HB5eHgoPDxcy5Yty6/yAQAAAMD5+4hljJa4a9cutW7dWj4+PvZp7u7uCg0NVefOnfO8wCstXrxYgwYN0syZM3X33XfrnXfeUdu2bbV//36VK1cuU/+DBw+qXbt26tu3rz744ANt2rRJAwYMUOnSpe21xsTEqGvXrpowYYIeeOABLVu2TF26dNH333+vhg0b5uv2AAAAALg12YwxJjczvPfee+ratas8PT3zq6ZsNWzYUHXr1tWsWbPsbdWrV1enTp0UFRWVqf/w4cO1fPlyxcbG2tv69++v3bt3KyYmRpLUtWtXJSUl6euvv7b3adOmjYoXL66PP/7YqbqSkpLk7++vxMRE+fn5Ob09I6f/7nRfWCsqsoIl6/l4fbIl60HudWvqa8l6fvzlpCXrQe7VrVLKkvX8tXeLJevB9QmseVdBlwDgJuNsNsj1NWI9e/YskBCWkpKiHTt2qFWrVg7trVq10ubNm7OcJyYmJlP/1q1ba/v27bp8+XKOfbJbpiRdunRJSUlJDg8AAAAAcJbTpyZmSEtL05tvvqklS5boyJEjSklJcZh++vTpPCvuSidPnlRaWpoCAwMd2gMDA5WQkJDlPAkJCVn2T01N1cmTJ1WmTJls+2S3TEmKiorSuHHjrnNLrliORUdd8O9l1VEX/HtZddQF/14cccHxZZmvX8e/R8AD/S1Zz+5hfS1ZD3Kv9qS5+bLcXB8RGzdunKZMmaIuXbooMTFRQ4YM0YMPPqgiRYpo7Nix+VCio6tHbMxuFMec+l/dnttljhw5UomJifbH0aNHna4fAAAAAHJ9ROzDDz/U3Llz1b59e40bN07dunVTxYoVVatWLW3ZskWRkZH5UadKlSolFxeXTEeqjh8/numIVoagoKAs+7u6uqpkyZI59slumZLk4eEhDw+P69kMAAAAAMj9EbGEhATVrFlTkuTj42O/uXOHDh20YsWKvK3uCu7u7qpXr55Wr17t0L569Wo1atQoy3kiIiIy9Y+Ojlb9+vXl5uaWY5/slgkAAAAANyrXQey2225TfHy8JKlSpUqKjo6WJG3bti3fjxINGTJE7777rubPn6/Y2FgNHjxYR44cUf/+/5y7O3LkSD3++OP2/v3799fhw4c1ZMgQxcbGav78+Zo3b56ef/55e59nn31W0dHRmjhxon7++WdNnDhRa9as0aBBg/J1WwAAAADcunJ9auIDDzygtWvXqmHDhnr22WfVrVs3zZs3T0eOHNHgwYPzo0a7rl276tSpUxo/frzi4+NVo0YNrVy5UuXLl5ckxcfH68iRI/b+YWFhWrlypQYPHqy3335bwcHBmj59usP9zho1aqRPPvlEL774ol566SVVrFhRixcv5h5iAAAAAPJNru8jdrUtW7Zo8+bNqlSpkjp27JhXdd1Urvc+YgAAAIya+O/GqInI7aiJzmaDXB8Ru9pdd92lu+5i6F0AAAAAcJZTQWz58uVOL/BWPSoGAAAAAM5yKoh16tTJqYXZbDalpaXdSD0AAAAAUOg5FcTS09Pzuw4AAAAAuGXkevj6K128eDGv6gAAAACAW0aug1haWpomTJigsmXLysfHR7///rsk6aWXXtK8efPyvEAAAAAAKGxyHcReeeUVLVy4UJMmTZK7u7u9vWbNmnr33XfztDgAAAAAKIxyHcQWLVqkOXPm6NFHH5WLi4u9vVatWvr555/ztDgAAAAAKIxyHcT+/PNPVapUKVN7enq6Ll++nCdFAQAAAEBhlusgdvvtt2vjxo2Z2j/99FPVqVMnT4oCAAAAgMLMqeHrrzRmzBj16NFDf/75p9LT07V06VLFxcVp0aJF+uqrr/KjRgAAAAAoVHJ9ROy+++7T4sWLtXLlStlsNo0ePVqxsbH68ssv1bJly/yoEQAAAAAKlVwdEUtNTdUrr7yiJ598Uhs2bMivmgAAAACgUMvVETFXV1dNnjxZaWlp+VUPAAAAABR6uT41sUWLFlq/fn0+lAIAAAAAt4ZcD9bRtm1bjRw5Uj/99JPq1aunokWLOkzv2LFjnhUHAAAAAIVRroPY008/LUmaMmVKpmk2m43TFgEAAADgGnIdxNLT0/OjDgAAAAC4ZeTqGrHU1FS5urrqp59+yq96AAAAAKDQy/WoieXLl+f0QwAAAAC4AbkeNfHFF1/UyJEjdfr06fyoBwAAAAAKvVxfIzZ9+nQdOHBAwcHBKl++fKZRE3/88cc8Kw4AAAAACqNcB7FOnTrlQxkAAAAAcOvIdRAbM2ZMftQBAAAAALeMXAexDDt27FBsbKxsNpvCw8NVp06dvKwLAAAAAAqtXAex48eP65FHHtH69etVrFgxGWOUmJioZs2a6ZNPPlHp0qXzo04AAAAAKDRyPWriM888o6SkJO3bt0+nT5/WmTNn9NNPPykpKUmRkZH5USMAAAAAFCq5PiK2atUqrVmzRtWrV7e3hYeH6+2331arVq3ytDgAAAAAKIxyfUQsPT1dbm5umdrd3NyUnp6eJ0UBAAAAQGGW6yB277336tlnn9WxY8fsbX/++acGDx6s5s2b52lxAAAAAFAY5TqIzZgxQ8nJyQoNDVXFihVVqVIlhYWFKTk5WW+99VZ+1AgAAAAAhUqurxELCQnRjz/+qNWrV+vnn3+WMUbh4eFq0aJFftQHAAAAAIXOdd9HrGXLlmrZsmVe1gIAAAAAtwSnT01ct26dwsPDlZSUlGlaYmKibr/9dm3cuDFPiwMAAACAwsjpIDZ16lT17dtXfn5+mab5+/urX79+mjJlSp4WBwAAAACFkdNBbPfu3WrTpk2201u1aqUdO3bkSVEAAAAAUJg5HcT++uuvLO8flsHV1VUnTpzIk6IAAAAAoDBzOoiVLVtWe/fuzXb6nj17VKZMmTwpCgAAAAAKM6eDWLt27TR69GhdvHgx07QLFy5ozJgx6tChQ54WBwAAAACFkdPD17/44otaunSpqlSpooEDB6pq1aqy2WyKjY3V22+/rbS0NI0aNSo/awUAAACAQsHpIBYYGKjNmzfr6aef1siRI2WMkSTZbDa1bt1aM2fOVGBgYL4VCgAAAACFRa5u6Fy+fHmtXLlSZ86c0YEDB2SMUeXKlVW8ePH8qg8AAAAACp1cBbEMxYsX15133pnXtQAAAADALcHpwToAAAAAAHmDIAYAAAAAFrtpgtiZM2fUo0cP+fv7y9/fXz169NDff/+d4zzGGI0dO1bBwcHy8vJS06ZNtW/fPoc+c+bMUdOmTeXn5yebzXbNZQIAAADAjbppglj37t21a9curVq1SqtWrdKuXbvUo0ePHOeZNGmSpkyZohkzZmjbtm0KCgpSy5YtlZycbO9z/vx5tWnTRi+88EJ+bwIAAAAASLrOwTqsFhsbq1WrVmnLli1q2LChJGnu3LmKiIhQXFycqlatmmkeY4ymTp2qUaNG6cEHH5QkvffeewoMDNRHH32kfv36SZIGDRokSVq/fr0l2wIAAAAAN8URsZiYGPn7+9tDmCTddddd8vf31+bNm7Oc5+DBg0pISFCrVq3sbR4eHmrSpEm28zjr0qVLSkpKcngAAAAAgLNuiiCWkJCggICATO0BAQFKSEjIdh5JmW4yHRgYmO08zoqKirJfq+bv76+QkJAbWh4AAACAW0uBBrGxY8fKZrPl+Ni+fbskyWazZZrfGJNl+5Wunu7MPNcycuRIJSYm2h9Hjx69oeUBAAAAuLUU6DViAwcO1COPPJJjn9DQUO3Zs0d//fVXpmknTpzIdMQrQ1BQkKR/joyVKVPG3n78+PFs53GWh4eHPDw8bmgZAAAAAG5dBRrESpUqpVKlSl2zX0REhBITE/XDDz+oQYMGkqStW7cqMTFRjRo1ynKesLAwBQUFafXq1apTp44kKSUlRRs2bNDEiRPzbiMAAAAAIJduimvEqlevrjZt2qhv377asmWLtmzZor59+6pDhw4OIyZWq1ZNy5Ytk/TPKYmDBg3Sq6++qmXLlumnn35Sr1695O3tre7du9vnSUhI0K5du3TgwAFJ0t69e7Vr1y6dPn3a2o0EAAAAcMu4KYavl6QPP/xQkZGR9lEQO3bsqBkzZjj0iYuLU2Jiov35sGHDdOHCBQ0YMEBnzpxRw4YNFR0dLV9fX3uf2bNna9y4cfbn99xzjyRpwYIF6tWrVz5uEQAAAIBblc0YYwq6iJtdUlKS/P39lZiYKD8/v4IuBwAA3ESOL5td0CUgBwEP9LdkPbuH9bVkPci92pPm5qq/s9ngpjg1EQAAAAAKE4IYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMdeCLgAAAOBWFvBA/4IuAUAB4IgYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxW6aIHbmzBn16NFD/v7+8vf3V48ePfT333/nOI8xRmPHjlVwcLC8vLzUtGlT7du3zz799OnTeuaZZ1S1alV5e3urXLlyioyMVGJiYj5vDQAAAIBb2U0TxLp3765du3Zp1apVWrVqlXbt2qUePXrkOM+kSZM0ZcoUzZgxQ9u2bVNQUJBatmyp5ORkSdKxY8d07Ngxvf7669q7d68WLlyoVatWqXfv3lZsEgAAAIBblM0YYwq6iGuJjY1VeHi4tmzZooYNG0qStmzZooiICP3888+qWrVqpnmMMQoODtagQYM0fPhwSdKlS5cUGBioiRMnql+/flmu69NPP9Vjjz2mc+fOydXV1an6kpKS5O/vr8TERPn5+V3nVgIAAOBWtXtY34IuAdmoPWlurvo7mw1uiiNiMTEx8vf3t4cwSbrrrrvk7++vzZs3ZznPwYMHlZCQoFatWtnbPDw81KRJk2znkWR/wXIKYZcuXVJSUpLDAwAAAACcdVMEsYSEBAUEBGRqDwgIUEJCQrbzSFJgYKBDe2BgYLbznDp1ShMmTMj2aFmGqKgo+7Vq/v7+CgkJcWYzAAAAAEBSAQexsWPHymaz5fjYvn27JMlms2Wa3xiTZfuVrp6e3TxJSUlq3769wsPDNWbMmByXOXLkSCUmJtofR48evdamAgAAAICdcxdB5ZOBAwfqkUceybFPaGio9uzZo7/++ivTtBMnTmQ64pUhKChI0j9HxsqUKWNvP378eKZ5kpOT1aZNG/n4+GjZsmVyc3PLsSYPDw95eHjk2AcAAAAAslOgQaxUqVIqVarUNftFREQoMTFRP/zwgxo0aCBJ2rp1qxITE9WoUaMs5wkLC1NQUJBWr16tOnXqSJJSUlK0YcMGTZw40d4vKSlJrVu3loeHh5YvXy5PT8882DIAAAAAyN5NcY1Y9erV1aZNG/Xt21dbtmzRli1b1LdvX3Xo0MFhxMRq1app2bJlkv45JXHQoEF69dVXtWzZMv3000/q1auXvL291b17d0n/HAlr1aqVzp07p3nz5ikpKUkJCQlKSEhQWlpagWwrAAAAgMKvQI+I5caHH36oyMhI+yiIHTt21IwZMxz6xMXFOdyMediwYbpw4YIGDBigM2fOqGHDhoqOjpavr68kaceOHdq6daskqVKlSg7LOnjwoEJDQ/NxiwAAAADcqm6K+4j923EfMQAAANwI7iP273VL30cMAAAAAAoTghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABY7KYJYmfOnFGPHj3k7+8vf39/9ejRQ3///XeO8xhjNHbsWAUHB8vLy0tNmzbVvn37HPr069dPFStWlJeXl0qXLq37779fP//8cz5uCQAAAIBb3U0TxLp3765du3Zp1apVWrVqlXbt2qUePXrkOM+kSZM0ZcoUzZgxQ9u2bVNQUJBatmyp5ORke5969eppwYIFio2N1TfffCNjjFq1aqW0tLT83iQAAAAAtyibMcYUdBHXEhsbq/DwcG3ZskUNGzaUJG3ZskURERH6+eefVbVq1UzzGGMUHBysQYMGafjw4ZKkS5cuKTAwUBMnTlS/fv2yXNeePXtUu3ZtHThwQBUrVnSqvqSkJPn7+ysxMVF+fn7XuZUAAAC4Ve0e1regS0A2ak+am6v+zmaDm+KIWExMjPz9/e0hTJLuuusu+fv7a/PmzVnOc/DgQSUkJKhVq1b2Ng8PDzVp0iTbec6dO6cFCxYoLCxMISEh2dZz6dIlJSUlOTwAAAAAwFk3RRBLSEhQQEBApvaAgAAlJCRkO48kBQYGOrQHBgZmmmfmzJny8fGRj4+PVq1apdWrV8vd3T3beqKiouzXqvn7++cY2gAAAADgagUaxMaOHSubzZbjY/v27ZIkm82WaX5jTJbtV7p6elbzPProo9q5c6c2bNigypUrq0uXLrp48WK2yxw5cqQSExPtj6NHjzq7yQAAAAAg14Jc+cCBA/XII4/k2Cc0NFR79uzRX3/9lWnaiRMnMh3xyhAUFCTpnyNjZcqUsbcfP3480zwZR7YqV66su+66S8WLF9eyZcvUrVu3LJft4eEhDw+PHOsGAAAAgOwUaBArVaqUSpUqdc1+ERERSkxM1A8//KAGDRpIkrZu3arExEQ1atQoy3nCwsIUFBSk1atXq06dOpKklJQUbdiwQRMnTsxxfcYYXbp0KZdbAwAAAADOuSmuEatevbratGmjvn37asuWLdqyZYv69u2rDh06OIyYWK1aNS1btkzSP6ckDho0SK+++qqWLVumn376Sb169ZK3t7e6d+8uSfr9998VFRWlHTt26MiRI4qJiVGXLl3k5eWldu3aFci2AgAAACj8CvSIWG58+OGHioyMtI+C2LFjR82YMcOhT1xcnBITE+3Phw0bpgsXLmjAgAE6c+aMGjZsqOjoaPn6+kqSPD09tXHjRk2dOlVnzpxRYGCg7rnnHm3evDnLwUEAAAAAIC/cFPcR+7fjPmIAAAC4EdxH7N/rlr6PGAAAAAAUJgQxAAAAALAYQQwAAAAALEYQAwAAAACL3TSjJgIAAACFVW4HhMDNjyNiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMUIYgAAAABgMYIYAAAAAFiMIAYAAAAAFnMt6AIKA2OMJCkpKamAKwEAAABQkDIyQUZGyA5BLA8kJydLkkJCQgq4EgAAAAD/BsnJyfL39892us1cK6rhmtLT03Xs2DH5+vrKZrMVdDmWS0pKUkhIiI4ePSo/P7+CLgcFhP0A7ANgHwD7ANgH/jkSlpycrODgYBUpkv2VYBwRywNFihTRbbfdVtBlFDg/P79b9gOH/8N+APYBsA+AfQC3+j6Q05GwDAzWAQAAAAAWI4gBAAAAgMUIYrhhHh4eGjNmjDw8PAq6FBQg9gOwD4B9AOwDYB9wHoN1AAAAAIDFOCIGAAAAABYjiAEAAACAxQhiAAAAAGAxgti/nM1m0+eff35Dy2jatKkGDRqUJ/VYbf369bLZbPr7778LuhTeizx4L3L7Gv5b3n9n6li4cKGKFSuWp+tlnyv493/s2LG64447Cmz9eSEv9qMbdfXnozC8rnBOr1691KlTJ/vzm/k76d+C/xsK/v+GvEIQK2AJCQl65plnVKFCBXl4eCgkJET33Xef1q5dW9ClZamgd/6c1h8aGqqpU6c6PLfZbLLZbPLy8lJoaKi6dOmidevWOcx36NAh2Ww2rVmzhvfCSb169bK/ttk9shIfH6+2bdtaXO2Na9SokeLj4526OWNu8Pl33vXuc1fOf+WPwcLgytfEzc1NgYGBatmypebPn6/09HR7v7z83OXVHxyef/75XO3nV36fu7i4KDg4WL1799aZM2fsfTL2z4xH6dKl1bZtW+3evfuG671ZHD9+XP369VO5cuXk4eGhoKAgtW7dWjExMTe87Lz6DC1dulQTJkxwqm/G/88ZD3d3d1WqVEkvv/yyrhxrbuzYsQ77R0hIiPr06aMTJ07ccL0Fgf8b8nb9V+4frq6uKlWqlO655x5NnTpVly5dcuhrdUAliBWgQ4cOqV69elq3bp0mTZqkvXv3atWqVWrWrJn++9//FnR5+coYo9TU1Hxfz/jx4xUfH6+4uDgtWrRIxYoVU4sWLfTKK69k6tu9e3feCydNmzZN8fHx9ockLViwIFNbhpSUFElSUFDQTTec7eXLl+Xu7q6goKBr/tjPDT7/+bvP3SratGmj+Ph4HTp0SF9//bWaNWumZ599Vh06dLC/xv/Gz52Pj49KliyZq3kyvs+PHDmiDz/8UN99950iIyMz9YuLi1N8fLxWrFihM2fOqE2bNkpMTMyr0v/VOnfurN27d+u9997TL7/8ouXLl6tp06Y6ffp0QZdmV6JECfn6+uZqnjVr1ig+Pl6//vqrxo0bp1deeUXz58936HP77bfb949Zs2bpyy+/1OOPP56XpVuC/xvy57fhlfvHt99+q4cfflhRUVFq1KiRkpOT82WdTjEoMG3btjVly5Y1Z8+ezTTtzJkzxhhjJJm5c+eaTp06GS8vL1OpUiXzxRdfOPRdv369ufPOO427u7sJCgoyw4cPN5cvX7ZPb9KkiXn22Wftzy9dumSGDh1qgoODjbe3t2nQoIH59ttv7dMPHTpkOnToYIoVK2a8vb1NeHi4WbFihTl48KCR5PDo2bOnMcaY9PR0M3HiRBMWFmY8PT1NrVq1zKeffmpf5rfffmskmVWrVpl69eoZNzc3s27dOnPx4kXzzDPPmNKlSxsPDw9z9913mx9++CHTfBmvx9XPr1S+fHnz5ptvZvs8w+jRo02RIkXMzz//bIwx9u0KCAjgvcjFe3ElSWbZsmUO2/nf//7XDB482JQsWdLcc889WfbbtGmTqV27tvHw8DD16tUzy5YtM5LMzp07M63z7NmzxtfX12FbjDFm+fLlxtvb2yQlJRljjDl69Kjp2rWrKV68uPH29jb16tUzW7Zscehft25d4+HhYcLCwszYsWMd3iNJZtasWaZjx47G29vbjB49OsttX7BggQkJCTFeXl6mU6dO5vXXXzf+/v6ZastuXW3btjW+vr6mbNmyxt3d3ZQpU8Y888wzxhj2uavnc2af27Nnj2nWrJnx9PQ0JUqUMH379jXJycnGGGPGjBmTqfaMbR42bJipXLmy8fLyMmFhYebFF180KSkp9uWOGTPG1K5dO9P6/w169uxp7r///kzta9eute87xmR+ra61zbt27TJNmzY1Pj4+xtfX19StW9ds27bN/n5c+RgzZowxxpjTp0+bHj16mGLFihkvLy/Tpk0b88svv9iXuWDBAofPR1av67x580x4eLh9X/7vf/9rn5bV9/n48eNNeHi4/XlW+8v3339v3/cKuzNnzhhJZv369VlOf+KJJ0z79u0d2i5fvmwCAwPNvHnzjDHGfPrpp6ZGjRr2z1Hz5s3N2bNnc/wM5fTZMybzfnr1d9LFixfN0KFDzW233Wbc3d1NpUqVzLvvvmuM+b//nzP+T8hw7733mgEDBtifZ7U/vfzyy6ZIkSLm/Pnzzrx8/xr8Nszb34bGZP89Hhsba9zd3c2oUaOyfV3yG0GsgJw6dcrYbDbz6quv5thPkrntttvMRx99ZH799VcTGRlpfHx8zKlTp4wxxvzxxx/G29vbDBgwwMTGxpply5aZUqVK2f9zNCbzTtW9e3fTqFEj891335kDBw6YyZMnGw8PD/t/mu3btzctW7Y0e/bsMb/99pv58ssvzYYNG0xqaqr57LPPjCQTFxdn4uPjzd9//22MMeaFF14w1apVM6tWrTK//fabWbBggfHw8LD/h5DxIalVq5aJjo42Bw4cMCdPnjSRkZEmODjYrFy50uzbt8/07NnTFC9e3L59+RHEMl77iRMnGmOM2blzp5FkBg4cyHuRi/fi6tfm6iDm4+Njhg4dan7++WcTGxubqV9SUpIpUaKEeeyxx8y+ffvMypUrTZUqVbINYsYY07dvX9OuXTuHdT/wwAPm8ccfN8YYk5ycbCpUqGAaN25sNm7caH799VezePFis3nzZmOMMatWrTJ+fn5m4cKF5rfffjPR0dEmNDTUjB071mFbAgICzLx588xvv/1mDh06lKmOLVu2GJvNZqKiokxcXJyZNm2aKVasmMMPzZzWlbEPenh4mJUrV5rDhw+brVu3mjlz5rDPXcc+d+7cORMcHGwefPBBs3fvXrN27VoTFhZm/zGQnJxsunTpYtq0aWPi4+NNfHy8uXTpkjHGmAkTJphNmzaZgwcPmuXLl5vAwED7d4MxN2cQM8aY2rVrm7Zt2xpjMn8+r7XNt99+u3nsscdMbGys+eWXX8ySJUvMrl27zKVLl8zUqVONn5+f/XXM+MHdsWNHU716dfPdd9+ZXbt2mdatW5tKlSrZA961gtjMmTONp6enmTp1qomLizM//PBDjt/nf/zxh2nQoIF54okn7G1Z7S87duwwksyXX37p5Kt687p8+bLx8fExgwYNMhcvXsw0fdOmTcbFxcUcO3bM3vbFF1+YokWLmuTkZHPs2DHj6upqpkyZYg4ePGj27Nlj3n77bZOcnJztZ+hanz1jrh3EunTpYkJCQszSpUvNb7/9ZtasWWM++eQTY0zWQWzbtm2mWLFi5r333rO3ZfU5feONN4wk+x/pbgb8Nsz734bG5Pw9fv/995vq1atn+7rkN4JYAdm6dauRZJYuXZpjP0nmxRdftD8/e/assdls5uuvvzbG/LOTV61a1aSnp9v7vP3228bHx8ekpaUZYxx3qgMHDhibzWb+/PNPh/U0b97cjBw50hhjTM2aNR1+mF4pq5397NmzxtPT0/5jN0Pv3r1Nt27dHOb7/PPPHeZzc3MzH374ob0tJSXFBAcHm0mTJmW5voznRYsWzfSw2WxOBTFjjAkMDDRPP/20McbYj8K88cYbWfbNwHuRuyB2xx135Nhv1qxZpmTJkubChQv26XPnzs0xiG3dutW4uLjYX7MTJ04YNzc3+5f6O++8Y3x9fe1f1ldr3Lhxpv/g3n//fVOmTBmHGgcNGuTQ5+o6unXrZtq0aePQp2vXrg4/NHNaV8bnv0yZMg5HIq7GPufcPjdnzhxTvHhxh78gr1ixwhQpUsQkJCQYY3IOLVeaNGmSqVevnv35zRrEunbtav9xcfXn82pXb7Ovr69ZuHBhln2vDlTGGPPLL78YSWbTpk32tpMnTxovLy+zZMmSLOe7+nUNDg52+Kv01cqXL2/c3d1N0aJFjaenp5FkGjZs6LBvXL2/nDx50nTs2NH4+vqav/76K9tlFyb/+9//TPHixY2np6dp1KiRGTlypNm9e7d9enh4uEPo7tSpk+nVq5cx5v9C66FDh7Jcdlb72/V89q78ToqLizOSzOrVq7NcZ0YQ8/LyMkWLFjVubm5Gknnqqacc+l29P8XGxppKlSqZBg0aZP1C/Uvx2/DGfhteTxAbPny48fLysj+3Ooi5CgXC/P+LTJ255qRWrVr2fxctWlS+vr46fvy4JCk2NlYREREOy7n77rt19uxZ/fHHHypXrpzDsn788UcZY1SlShWH9kuXLtnP14+MjNTTTz+t6OhotWjRQp07d3ao4Wr79+/XxYsX1bJlS4f2lJQU1alTx6Gtfv369n//9ttvunz5su6++257m5ubmxo0aKDY2NgcX5ONGzdmOse8adOmOc5zJWOM/TXjvbix9yI7Vy4/K3FxcapVq5Y8PT3tbQ0aNMhxngYNGuj222/XokWLNGLECL3//vsqV66c7rnnHknSrl27VKdOHZUoUSLL+Xfs2KFt27Y5XCOYlpamixcv6vz58/L29naq9tjYWD3wwAMObREREVq1apVT67pw4YKkf96XChUqqE2bNmrXrp3uu+8+ubo6fi2zz11bbGysateuraJFi9rb7r77bqWnpysuLk6BgYHZzvu///1PU6dO1YEDB3T27FmlpqbKz88vV+v/N7ryO+5q19rmIUOGqE+fPnr//ffVokULPfzww6pYsWK264qNjZWrq6saNmxobytZsqSqVq3q1Ht5/PhxHTt2TM2bN8+x39ChQ9WrVy8ZY3T06FG98MILat++vb777ju5uLjY+912222SpHPnzqly5cr69NNPFRAQcM06CoPOnTurffv22rhxo2JiYrRq1SpNmjRJ7777rnr16qU+ffpozpw5GjZsmI4fP64VK1bYB4CoXbu2mjdvrpo1a6p169Zq1aqVHnroIRUvXjzb9d3IZ0/65zvbxcVFTZo0ybHf4sWLVb16dV2+fFl79+5VZGSkihcvrtdee83eZ+/evfLx8VFaWpouXbqkpk2bas6cOc68bP8a/B7Jn98jOcnpu9IKBLECUrlyZdlsNsXGxl5zFCI3NzeH5zabzT4iVlY7UE4f5PT0dLm4uGjHjh0O/3FJ/1w8LUl9+vRR69attWLFCkVHRysqKkpvvPGGnnnmmSzry6hlxYoVKlu2rMO0qy8Qv/LLOrs6nflQhIWFZRq56+ofsNk5deqUTpw4obCwMPuyJOn333+/5ry8F867cvlZyen1ykmfPn00Y8YMjRgxQgsWLNATTzxhX46Xl1eO86anp2vcuHF68MEHM027MhA6U/u15LSuYsWKyWazKTIyUnfccYfWrFmjAQMGaPLkydqwYYPDfsY+d205zZPTsrZs2aJHHnlE48aNU+vWreXv769PPvlEb7zxRq7W/28UGxtr/267kjPbPHbsWHXv3l0rVqzQ119/rTFjxuiTTz7J9MeHDNl9Hpx9L6/1uc1QqlQpVapUSdI//4dOnTpVERER+vbbb9WiRQt7v40bN8rPz0+lS5cuFKE6tzw9PdWyZUu1bNlSo0ePVp8+fTRmzBj16tVLjz/+uEaMGKGYmBjFxMQoNDRUjRs3liS5uLho9erV2rx5s6Kjo/XWW29p1KhR2rp1a5b7knT9n70Mzr73ISEh9ve+evXq+v333/XSSy9p7Nix9u/uqlWravny5fZRNf9tA9Q4g9+G+fN7JCfZfVdahVETC0iJEiXUunVrvf322zp37lym6c4OARoeHq7Nmzc7/Ee4efNm+fr6ZtrxJalOnTpKS0vT8ePHValSJYdHUFCQvV9ISIj69++vpUuX6rnnntPcuXMlSe7u7pL++cv+lTV4eHjoyJEjmZYZEhKSbe2VKlWSu7u7vv/+e3vb5cuXtX37dlWvXt2p7b8e06ZNU5EiRexfchmBbsmSJbwXFr4X1apV0549exyGjt2+ffs153vsscd05MgRTZ8+Xfv27VPPnj3t02rVqqVdu3ZlO0JY3bp1FRcXl+m1qVSpkooUcf7rMDw8XFu2bHFou/p5TusqVaqUWrdurTlz5qh58+aaPn261q9fr5iYGO3du5d9Lpf7XHh4uHbt2uXw+d20aZOKFCli/wuvu7u7Q90ZfcqXL69Ro0apfv36qly5sg4fPpyrdf8brVu3Tnv37lXnzp0zTXN2m6tUqaLBgwcrOjpaDz74oBYsWCAp69cxPDxcqamp2rp1q73t1KlT+uWXX5x6L319fRUaGprrobkzfjBmHGHOEBYWpooVK96SISwr4eHh9s9GyZIl1alTJy1YsMD+h6wr2Ww23X333Ro3bpx27twpd3d3LVu2TFL27/21Pns5qVmzptLT07Vhw4ZcbZOLi4tSU1PtI/Jm1FepUiWFhYXdlCFM4rehZO3vkZ9//lmrVq3K8rvSKhwRK0AzZ85Uo0aN1KBBA40fP161atVSamqqVq9erVmzZjl1CHbAgAGaOnWqnnnmGQ0cOFBxcXEaM2aMhgwZkuUPyypVqujRRx/V448/rjfeeEN16tTRyZMntW7dOtWsWVPt2rXToEGD1LZtW1WpUkVnzpzRunXr7Dt/+fLlZbPZ9NVXX6ldu3by8vKSr6+vnn/+eQ0ePFjp6en6z3/+o6SkJG3evFk+Pj4OP5SvVLRoUT399NMaOnSoSpQooXLlymnSpEk6f/68evfufWMv7v+XnJyshIQEXb58WQcPHtQHH3ygd999V1FRUfa/rmVISUlRrVq19PTTT6ty5cpKS0vToUOHNHfuXN6LfNC9e3eNGjVKTz31lEaMGKEjR47o9ddfl5TzX1KLFy+uBx98UEOHDlWrVq3spyFJUrdu3fTqq6+qU6dOioqKUpkyZbRz504FBwcrIiJCo0ePVocOHRQSEqKHH35YRYoU0Z49e7R37169/PLLTtceGRmpRo0aadKkSerUqZOio6MdTkuUdM113XvvvYqJiVHt2rU1ZMgQ/fTTT/Lw8NA333yjRYsWsc/lwqOPPqoxY8aoZ8+eGjt2rE6cOKFnnnlGPXr0sJ8aFRoaqm+++UZxcXEqWbKk/P39ValSJR05ckSffPKJ7rzzTq1YscL+o/NmcenSJSUkJCgtLU1//fWXVq1apaioKHXo0CHLobuvtc0XLlzQ0KFD9dBDDyksLEx//PGHtm3bZv+hEhoaqrNnz2rt2rWqXbu2vL29VblyZd1///3q27ev3nnnHfn6+mrEiBEqW7as7r//fqe2Y+zYserfv78CAgLUtm1bJScna9OmTQ5/bc/4Ps84NXHYsGEqVaqUGjVqdIOvYuFw6tQpPfzww3ryySdVq1Yt+fr6avv27Zo0aZLD+9CnTx916NBBaWlpDp/PrVu3au3atWrVqpUCAgK0detWnThxwv75z+oz5MxnLyehoaHq2bOnnnzySU2fPl21a9fW4cOHdfz4cXXp0sVh2xISEpSamqq9e/dq2rRpatasWaEM2/w2vP7/G/bu3ZvpspWMG8enpqYqISFB6enpOnXqlNavX6+XX35Zd9xxh4YOHeowz4kTJ7Rr1y6HtqCgIIdQmmfy8fozOOHYsWPmv//9r/1C5LJly5qOHTvahwxVFhdZ+/v7mwULFtif53aI0pSUFDN69GgTGhpq3NzcTFBQkHnggQfMnj17jDHGDBw40FSsWNF4eHiY0qVLmx49epiTJ0/a5x8/frwJCgoyNpvNYYjSadOmmapVqxo3NzdTunRp07p1a7NhwwZjTPYXUl64cME888wzplSpUvkyfL3+/1Cq7u7uply5cqZLly5m3bp1DvNlNfRqxqNFixa8F9m8F1e6+rXJ7mLXq/tt2rTJ1KpVy7i7u5t69eqZjz76yEiy31ogu3VmDM+dMRDAlQ4dOmQ6d+5s/Pz8jLe3t6lfv77ZunWrffqqVatMo0aNjJeXl/Hz8zMNGjRwGK0wq/c5qzrmzZtnbrvtNuPl5WXuu+++LIevz2ldy5YtM3Xq1DFubm7GZrMZm81mSpUqxec/H4avN8aY48ePm5YtWxofHx8j/d/Q20OHDjUlS5Y0Pj4+pmvXrubNN9+85jDr/xY9e/a0f1e5urqa0qVLmxYtWpj58+fbL8g3JvNrldM2X7p0yTzyyCMmJCTEuLu7m+DgYDNw4ECHQXX69+9vSpYsaaTMw9f7+/sbLy8v07p161wPXz979mz7PnTl7RyMcfw+l2RKly5t2rVr5zCa3rUu2C/sLl68aEaMGGHq1q1r/P39jbe3t6latap58cUXHYZwT09PN+XLl880Au3+/ftN69at7UOGV6lSxbz11lv26dl9hm50+PoLFy6YwYMHmzJlytiHr58/f74xJvP/zy4uLua2224zffv2NcePH7cv49/8Ob0e/Da8vt+GWT2McbyFiYuLiylRooT5z3/+Y958881MI4w2adIky+VcOeJkXrIZ48TFDgBggQ8//FBPPPGEEhMTc7x24MMPP9Szzz6rY8eO2U+JAABc2/nz5xUcHKz58+dneQ0rAOtwaiKAArNo0SJVqFBBZcuW1e7duzV8+HB16dIl2xB2/vx5HTx4UFFRUerXrx8hDACclJ6eroSEBL3xxhvy9/dXx44dC7ok4JbHYB0ACkxCQoIee+wxVa9eXYMHD9bDDz+c43DDkyZN0h133KHAwECNHDnSwkoB4OZ25MgRlS1bVkuWLNH8+fOdHmkYQP7h1EQAAAAAsBhHxAAAAADAYgQxAAAAALAYQQwAAAAALEYQAwAAAACLEcQAAAAAwGIEMQAAAACwGEEMAFBo9erVSzabLdPjwIEDN7zshQsXqlixYjdeJADglsTd/AAAhVqbNm20YMECh7bSpUsXUDVZu3z5stzc3Aq6DACAhTgiBgAo1Dw8PBQUFOTwcHFx0Zdffql69erJ09NTFSpU0Lhx45Sammqfb8qUKapZs6aKFi2qkJAQDRgwQGfPnpUkrV+/Xk888YQSExPtR9nGjh0rSbLZbPr8888daihWrJgWLlwoSTp06JBsNpuWLFmipk2bytPTUx988IEkacGCBapevbo8PT1VrVo1zZw5076MlJQUDRw4UGXKlJGnp6dCQ0MVFRWVfy8cACBfcUQMAHDL+eabb/TYY49p+vTpaty4sX777Tc99dRTkqQxY8ZIkooUKaLp06crNDRUBw8e1IABAzRs2DDNnDlTjRo10tSpUzV69GjFxcVJknx8fHJVw/Dhw/XGG29owYIF8vDw0Ny5czVmzBjNmDFDderU0c6dO9W3b18VLVpUPXv21PTp07V8+XItWbJE5cqV09GjR3X06NG8fWEAAJYhiAEACrWvvvrKISS1bdtWf/31l0aMGKGePXtKkipUqKAJEyZo2LBh9iA2aNAg+zxhYWGaMGGCnn76ac2cOVPu7u7y9/eXzWZTUFDQddU1aNAgPfjgg/bnEyZM0BtvvGFvCwsL0/79+/XOO++oZ8+eOnLkiCpXrqz//Oc/stlsKl++/HWtFwDw70AQAwAUas2aNdOsWbPsz4sWLapKlSpp27ZteuWVV+ztaWlpunjxos6fPy9vb299++23evXVV7V//34lJSUpNTVVFy9e1Llz51S0aNEbrqt+/fr2f584cUJHjx5V79691bdvX3t7amqq/P39Jf0z8EjLli1VtWpVtWnTRh06dFCrVq1uuA4AQMEgiAEACrWM4HWl9PR0jRs3zuGIVAZPT08dPnxY7dq1U//+/TVhwgSVKFFC33//vXr37q3Lly/nuD6bzSZjjENbVvNcGebS09MlSXPnzlXDhg0d+rm4uEiS6tatq4MHD+rrr7/WmjVr1KVLF7Vo0UL/+9//cqwHAPDvRBADANxy6tatq7i4uEwBLcP27duVmpqqN954Q0WK/DOu1ZIlSxz6uLu7Ky0tLdO8pUuXVnx8vP35r7/+qvPnz+dYT2BgoMqWLavff/9djz76aLb9/Pz81LVrV3Xt2lUPPfSQ2rRpo9OnT6tEiRI5Lh8A8O9DEAMA3HJGjx6tDh06KCQkRA8//LCKFCmiPXv2aO/evXr55ZdVsWJFpaam6q233tJ9992nTZs2afbs2Q7LCA0N1dmzZ7V27VrVrl1b3t7e8vb21r333qsZM2borrvuUnp6uoYPH+7U0PRjx45VZGSk/Pz81LZtW126dEnbt2/XmTNnNGTIEL355psqU6aM7rjjDhUpUkSffvqpgoKCuJcZANykGL4eAHDLad26tb766iutXr1ad955p+666y5NmTLFPgDGHXfcoSlTpmjixImqUaOGPvzww0xDxTdq1Ej9+/dX165dVbp0aU2aNEmS9MYbbygkJET33HOPunfvrueff17e3t7XrKlPnz569913tXDhQtWsWVNNmjTRwoULFRYWJumfURknTpyo+vXr684779ShQ4e0cuVK+xE7AMDNxWauPpEdAAAAAJCv+DMaAAAAAFiMIAYAAAAAFiOIAQAAAIDFCGIAAAAAYDGCGAAAAABYjCAGAAAAABYjiAEAAACAxQhiAAAAAGAxghgAAAAAWIwgBgAAAAAWI4gBAAAAgMX+H+pkRAkdI8BbAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2760,7 +2717,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -2769,7 +2726,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2794,7 +2751,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_22224\\739675737.py:19: FutureWarning: \n",
+      "C:\\Users\\sarah\\AppData\\Local\\Temp\\ipykernel_4060\\739675737.py:19: FutureWarning: \n",
       "\n",
       "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
       "\n",
@@ -2803,7 +2760,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
       ]
@@ -2844,11 +2801,372 @@
    "source": [
     "Cross validation, gridsearch or randomizedgridsearch, KFold and array to store results and visualise the results"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                Age    Gender  Ethnicity  EducationLevel  \\\n",
+      "Age                        1.000000  0.028708   0.027745       -0.060560   \n",
+      "Gender                     0.028708  1.000000  -0.003660       -0.007070   \n",
+      "Ethnicity                  0.027745 -0.003660   1.000000        0.026516   \n",
+      "EducationLevel            -0.060560 -0.007070   0.026516        1.000000   \n",
+      "BMI                       -0.015677  0.005928  -0.003176       -0.023514   \n",
+      "Smoking                    0.020060  0.016650   0.031485       -0.009904   \n",
+      "AlcoholConsumption         0.007323  0.004330   0.008363       -0.012646   \n",
+      "PhysicalActivity          -0.010249 -0.035795   0.020498       -0.016703   \n",
+      "DietQuality               -0.023386  0.010942  -0.018184        0.017412   \n",
+      "SleepQuality               0.049139  0.007310   0.029304        0.020248   \n",
+      "FamilyHistoryAlzheimers   -0.018784  0.018421   0.022526        0.032748   \n",
+      "CardiovascularDisease     -0.015284  0.034577   0.002347        0.007528   \n",
+      "Diabetes                  -0.005708 -0.018300  -0.019588        0.003059   \n",
+      "Depression                -0.008752  0.018113  -0.005411        0.027573   \n",
+      "HeadInjury                -0.040337  0.004013  -0.009364       -0.008951   \n",
+      "Hypertension               0.003954 -0.002641   0.012848       -0.016950   \n",
+      "SystolicBP                -0.005324  0.011657  -0.027086       -0.016782   \n",
+      "DiastolicBP               -0.004462 -0.026059   0.010310       -0.002553   \n",
+      "CholesterolTotal           0.000392 -0.009568  -0.011757       -0.041598   \n",
+      "CholesterolLDL             0.003588  0.016271   0.007907        0.050504   \n",
+      "CholesterolHDL             0.006803 -0.005846  -0.021828       -0.008125   \n",
+      "CholesterolTriglycerides  -0.003062 -0.012427  -0.007173       -0.025763   \n",
+      "MMSE                      -0.004235  0.025330  -0.012504        0.026090   \n",
+      "FunctionalAssessment       0.005508  0.033324  -0.004704        0.020269   \n",
+      "MemoryComplaints           0.012343  0.003880   0.003687       -0.000165   \n",
+      "BehavioralProblems         0.038973  0.006099  -0.019363        0.010473   \n",
+      "ADL                       -0.038658  0.003865   0.010475        0.031934   \n",
+      "Confusion                  0.009002 -0.030583   0.022431       -0.008168   \n",
+      "Disorientation             0.027523  0.017506  -0.018132       -0.017568   \n",
+      "PersonalityChanges        -0.009470  0.025919  -0.030035       -0.019950   \n",
+      "DifficultyCompletingTasks  0.013900 -0.001636   0.019363        0.013033   \n",
+      "Forgetfulness             -0.019279 -0.028537  -0.034619       -0.008685   \n",
+      "Diagnosis                 -0.005488 -0.020975  -0.014782       -0.043966   \n",
+      "\n",
+      "                                BMI   Smoking  AlcoholConsumption  \\\n",
+      "Age                       -0.015677  0.020060            0.007323   \n",
+      "Gender                     0.005928  0.016650            0.004330   \n",
+      "Ethnicity                 -0.003176  0.031485            0.008363   \n",
+      "EducationLevel            -0.023514 -0.009904           -0.012646   \n",
+      "BMI                        1.000000  0.020437           -0.008997   \n",
+      "Smoking                    0.020437  1.000000            0.008363   \n",
+      "AlcoholConsumption        -0.008997  0.008363            1.000000   \n",
+      "PhysicalActivity           0.000742  0.010760            0.021696   \n",
+      "DietQuality                0.019922 -0.002048            0.020117   \n",
+      "SleepQuality              -0.005975 -0.001145           -0.003873   \n",
+      "FamilyHistoryAlzheimers    0.006446 -0.045811           -0.003707   \n",
+      "CardiovascularDisease     -0.005467  0.027955           -0.023632   \n",
+      "Diabetes                  -0.008980 -0.035810            0.000073   \n",
+      "Depression                -0.012507 -0.039363            0.008867   \n",
+      "HeadInjury                 0.016288 -0.019178           -0.008301   \n",
+      "Hypertension               0.004928 -0.021124           -0.006010   \n",
+      "SystolicBP                -0.019275 -0.024116           -0.030070   \n",
+      "DiastolicBP               -0.002524 -0.014112           -0.008909   \n",
+      "CholesterolTotal           0.001082 -0.010907           -0.033944   \n",
+      "CholesterolLDL             0.023684 -0.007393           -0.017042   \n",
+      "CholesterolHDL             0.038605 -0.025567           -0.001925   \n",
+      "CholesterolTriglycerides  -0.018001 -0.021058            0.023362   \n",
+      "MMSE                      -0.003477  0.002139           -0.011424   \n",
+      "FunctionalAssessment      -0.030501 -0.031879           -0.016483   \n",
+      "MemoryComplaints           0.029293  0.020339           -0.029418   \n",
+      "BehavioralProblems         0.035276 -0.014763            0.013657   \n",
+      "ADL                       -0.009788 -0.029233           -0.008250   \n",
+      "Confusion                 -0.015859  0.004498           -0.032798   \n",
+      "Disorientation            -0.031840 -0.028403            0.015521   \n",
+      "PersonalityChanges        -0.015901 -0.009977            0.019117   \n",
+      "DifficultyCompletingTasks -0.039400  0.001741           -0.002712   \n",
+      "Forgetfulness              0.071131  0.018011           -0.024121   \n",
+      "Diagnosis                  0.026343 -0.004865           -0.007618   \n",
+      "\n",
+      "                           PhysicalActivity  DietQuality  SleepQuality  ...  \\\n",
+      "Age                               -0.010249    -0.023386      0.049139  ...   \n",
+      "Gender                            -0.035795     0.010942      0.007310  ...   \n",
+      "Ethnicity                          0.020498    -0.018184      0.029304  ...   \n",
+      "EducationLevel                    -0.016703     0.017412      0.020248  ...   \n",
+      "BMI                                0.000742     0.019922     -0.005975  ...   \n",
+      "Smoking                            0.010760    -0.002048     -0.001145  ...   \n",
+      "AlcoholConsumption                 0.021696     0.020117     -0.003873  ...   \n",
+      "PhysicalActivity                   1.000000     0.011085     -0.001823  ...   \n",
+      "DietQuality                        0.011085     1.000000      0.051295  ...   \n",
+      "SleepQuality                      -0.001823     0.051295      1.000000  ...   \n",
+      "FamilyHistoryAlzheimers           -0.014106    -0.011261      0.014801  ...   \n",
+      "CardiovascularDisease              0.003976    -0.015220      0.002112  ...   \n",
+      "Diabetes                           0.029880     0.009192      0.023987  ...   \n",
+      "Depression                        -0.013533    -0.002516     -0.022996  ...   \n",
+      "HeadInjury                         0.025780    -0.008163     -0.004546  ...   \n",
+      "Hypertension                       0.022081    -0.043628      0.038668  ...   \n",
+      "SystolicBP                        -0.004811     0.006031     -0.027887  ...   \n",
+      "DiastolicBP                       -0.010555     0.009539      0.010797  ...   \n",
+      "CholesterolTotal                   0.014335    -0.016790      0.006879  ...   \n",
+      "CholesterolLDL                     0.017789    -0.023698      0.006751  ...   \n",
+      "CholesterolHDL                    -0.001993    -0.008659      0.015453  ...   \n",
+      "CholesterolTriglycerides           0.027416     0.034734      0.024004  ...   \n",
+      "MMSE                              -0.008342     0.021636      0.012506  ...   \n",
+      "FunctionalAssessment              -0.002419    -0.009700      0.029589  ...   \n",
+      "MemoryComplaints                   0.008709     0.012537     -0.016807  ...   \n",
+      "BehavioralProblems                -0.014253    -0.014033     -0.019899  ...   \n",
+      "ADL                               -0.013324    -0.007888      0.014535  ...   \n",
+      "Confusion                         -0.009397     0.002628      0.013508  ...   \n",
+      "Disorientation                    -0.020407    -0.026271      0.019467  ...   \n",
+      "PersonalityChanges                -0.013629     0.029087     -0.016892  ...   \n",
+      "DifficultyCompletingTasks          0.031169     0.045737      0.011237  ...   \n",
+      "Forgetfulness                      0.009837     0.006175      0.002930  ...   \n",
+      "Diagnosis                          0.005945     0.008506     -0.056548  ...   \n",
+      "\n",
+      "                           FunctionalAssessment  MemoryComplaints  \\\n",
+      "Age                                    0.005508          0.012343   \n",
+      "Gender                                 0.033324          0.003880   \n",
+      "Ethnicity                             -0.004704          0.003687   \n",
+      "EducationLevel                         0.020269         -0.000165   \n",
+      "BMI                                   -0.030501          0.029293   \n",
+      "Smoking                               -0.031879          0.020339   \n",
+      "AlcoholConsumption                    -0.016483         -0.029418   \n",
+      "PhysicalActivity                      -0.002419          0.008709   \n",
+      "DietQuality                           -0.009700          0.012537   \n",
+      "SleepQuality                           0.029589         -0.016807   \n",
+      "FamilyHistoryAlzheimers               -0.004650         -0.028348   \n",
+      "CardiovascularDisease                 -0.041270          0.031061   \n",
+      "Diabetes                               0.043548         -0.017280   \n",
+      "Depression                             0.019733         -0.019039   \n",
+      "HeadInjury                             0.034655         -0.021329   \n",
+      "Hypertension                          -0.028332         -0.021130   \n",
+      "SystolicBP                             0.013161         -0.009517   \n",
+      "DiastolicBP                            0.031485         -0.006126   \n",
+      "CholesterolTotal                      -0.005345          0.013821   \n",
+      "CholesterolLDL                        -0.016215         -0.005737   \n",
+      "CholesterolHDL                        -0.003450          0.030898   \n",
+      "CholesterolTriglycerides              -0.009207         -0.014484   \n",
+      "MMSE                                   0.024932          0.007652   \n",
+      "FunctionalAssessment                   1.000000          0.002320   \n",
+      "MemoryComplaints                       0.002320          1.000000   \n",
+      "BehavioralProblems                    -0.021941         -0.009765   \n",
+      "ADL                                    0.053904         -0.037511   \n",
+      "Confusion                             -0.023118         -0.007749   \n",
+      "Disorientation                        -0.007193          0.013442   \n",
+      "PersonalityChanges                     0.024260         -0.030096   \n",
+      "DifficultyCompletingTasks              0.019805          0.044151   \n",
+      "Forgetfulness                          0.019387         -0.006961   \n",
+      "Diagnosis                             -0.364898          0.306742   \n",
+      "\n",
+      "                           BehavioralProblems       ADL  Confusion  \\\n",
+      "Age                                  0.038973 -0.038658   0.009002   \n",
+      "Gender                               0.006099  0.003865  -0.030583   \n",
+      "Ethnicity                           -0.019363  0.010475   0.022431   \n",
+      "EducationLevel                       0.010473  0.031934  -0.008168   \n",
+      "BMI                                  0.035276 -0.009788  -0.015859   \n",
+      "Smoking                             -0.014763 -0.029233   0.004498   \n",
+      "AlcoholConsumption                   0.013657 -0.008250  -0.032798   \n",
+      "PhysicalActivity                    -0.014253 -0.013324  -0.009397   \n",
+      "DietQuality                         -0.014033 -0.007888   0.002628   \n",
+      "SleepQuality                        -0.019899  0.014535   0.013508   \n",
+      "FamilyHistoryAlzheimers             -0.023558  0.014041   0.017976   \n",
+      "CardiovascularDisease               -0.016803 -0.012918   0.017658   \n",
+      "Diabetes                            -0.027927  0.022235  -0.004793   \n",
+      "Depression                           0.001316  0.006195   0.001593   \n",
+      "HeadInjury                           0.047649 -0.016669  -0.031152   \n",
+      "Hypertension                         0.031700 -0.018602  -0.008634   \n",
+      "SystolicBP                          -0.012787  0.015447   0.008404   \n",
+      "DiastolicBP                          0.016682 -0.004836  -0.016567   \n",
+      "CholesterolTotal                    -0.006505  0.000775   0.037390   \n",
+      "CholesterolLDL                      -0.002926 -0.019380   0.020629   \n",
+      "CholesterolHDL                       0.027170  0.005252  -0.005254   \n",
+      "CholesterolTriglycerides             0.010310  0.023546  -0.013631   \n",
+      "MMSE                                 0.025408  0.003359   0.003763   \n",
+      "FunctionalAssessment                -0.021941  0.053904  -0.023118   \n",
+      "MemoryComplaints                    -0.009765 -0.037511  -0.007749   \n",
+      "BehavioralProblems                   1.000000  0.043376  -0.022676   \n",
+      "ADL                                  0.043376  1.000000   0.012373   \n",
+      "Confusion                           -0.022676  0.012373   1.000000   \n",
+      "Disorientation                      -0.022154  0.002256   0.007034   \n",
+      "PersonalityChanges                  -0.002892 -0.016128  -0.001573   \n",
+      "DifficultyCompletingTasks           -0.019174 -0.025646  -0.022003   \n",
+      "Forgetfulness                        0.023374 -0.002595   0.010100   \n",
+      "Diagnosis                            0.224350 -0.332346  -0.019186   \n",
+      "\n",
+      "                           Disorientation  PersonalityChanges  \\\n",
+      "Age                              0.027523           -0.009470   \n",
+      "Gender                           0.017506            0.025919   \n",
+      "Ethnicity                       -0.018132           -0.030035   \n",
+      "EducationLevel                  -0.017568           -0.019950   \n",
+      "BMI                             -0.031840           -0.015901   \n",
+      "Smoking                         -0.028403           -0.009977   \n",
+      "AlcoholConsumption               0.015521            0.019117   \n",
+      "PhysicalActivity                -0.020407           -0.013629   \n",
+      "DietQuality                     -0.026271            0.029087   \n",
+      "SleepQuality                     0.019467           -0.016892   \n",
+      "FamilyHistoryAlzheimers          0.035963            0.006839   \n",
+      "CardiovascularDisease            0.025237           -0.032343   \n",
+      "Diabetes                        -0.004494            0.004184   \n",
+      "Depression                       0.005764            0.026044   \n",
+      "HeadInjury                       0.033060           -0.031417   \n",
+      "Hypertension                     0.033567           -0.011857   \n",
+      "SystolicBP                       0.037500           -0.012170   \n",
+      "DiastolicBP                     -0.015098            0.001501   \n",
+      "CholesterolTotal                 0.025313           -0.017469   \n",
+      "CholesterolLDL                   0.027335            0.016120   \n",
+      "CholesterolHDL                   0.021054           -0.018553   \n",
+      "CholesterolTriglycerides        -0.013222           -0.017733   \n",
+      "MMSE                             0.036715            0.034492   \n",
+      "FunctionalAssessment            -0.007193            0.024260   \n",
+      "MemoryComplaints                 0.013442           -0.030096   \n",
+      "BehavioralProblems              -0.022154           -0.002892   \n",
+      "ADL                              0.002256           -0.016128   \n",
+      "Confusion                        0.007034           -0.001573   \n",
+      "Disorientation                   1.000000           -0.022311   \n",
+      "PersonalityChanges              -0.022311            1.000000   \n",
+      "DifficultyCompletingTasks       -0.020767            0.037686   \n",
+      "Forgetfulness                   -0.032013           -0.013311   \n",
+      "Diagnosis                       -0.024648           -0.020627   \n",
+      "\n",
+      "                           DifficultyCompletingTasks  Forgetfulness  Diagnosis  \n",
+      "Age                                         0.013900      -0.019279  -0.005488  \n",
+      "Gender                                     -0.001636      -0.028537  -0.020975  \n",
+      "Ethnicity                                   0.019363      -0.034619  -0.014782  \n",
+      "EducationLevel                              0.013033      -0.008685  -0.043966  \n",
+      "BMI                                        -0.039400       0.071131   0.026343  \n",
+      "Smoking                                     0.001741       0.018011  -0.004865  \n",
+      "AlcoholConsumption                         -0.002712      -0.024121  -0.007618  \n",
+      "PhysicalActivity                            0.031169       0.009837   0.005945  \n",
+      "DietQuality                                 0.045737       0.006175   0.008506  \n",
+      "SleepQuality                                0.011237       0.002930  -0.056548  \n",
+      "FamilyHistoryAlzheimers                     0.008787       0.022339  -0.032900  \n",
+      "CardiovascularDisease                       0.024684       0.010170   0.031490  \n",
+      "Diabetes                                   -0.001466      -0.007644  -0.031508  \n",
+      "Depression                                 -0.017145       0.017822  -0.005893  \n",
+      "HeadInjury                                  0.010646      -0.000020  -0.021411  \n",
+      "Hypertension                               -0.002780       0.029931   0.035080  \n",
+      "SystolicBP                                 -0.003598      -0.011357  -0.015615  \n",
+      "DiastolicBP                                -0.026220       0.005857   0.005293  \n",
+      "CholesterolTotal                           -0.017936      -0.025326   0.006394  \n",
+      "CholesterolLDL                             -0.011552      -0.000588  -0.031976  \n",
+      "CholesterolHDL                             -0.056947      -0.016662   0.042584  \n",
+      "CholesterolTriglycerides                   -0.041899       0.003526   0.022672  \n",
+      "MMSE                                        0.003294       0.011848  -0.237126  \n",
+      "FunctionalAssessment                        0.019805       0.019387  -0.364898  \n",
+      "MemoryComplaints                            0.044151      -0.006961   0.306742  \n",
+      "BehavioralProblems                         -0.019174       0.023374   0.224350  \n",
+      "ADL                                        -0.025646      -0.002595  -0.332346  \n",
+      "Confusion                                  -0.022003       0.010100  -0.019186  \n",
+      "Disorientation                             -0.020767      -0.032013  -0.024648  \n",
+      "PersonalityChanges                          0.037686      -0.013311  -0.020627  \n",
+      "DifficultyCompletingTasks                   1.000000      -0.013386   0.009069  \n",
+      "Forgetfulness                              -0.013386       1.000000  -0.000354  \n",
+      "Diagnosis                                   0.009069      -0.000354   1.000000  \n",
+      "\n",
+      "[33 rows x 33 columns]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "correlation_matrix = a_df.corr()\n",
+    "print(correlation_matrix)\n",
+    "plt.figure(figsize=(20, 10))\n",
+    "sns.heatmap(correlation_matrix, annot=True, cmap=\"coolwarm\", fmt=\".2f\", linewidths=0.5)\n",
+    "plt.title(\"Correlation Matrix\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Numerical Variables: 15\n",
+      "Categorical Variables: 18\n"
+     ]
+    }
+   ],
+   "source": [
+    "numerical = []\n",
+    "categorical = []\n",
+    "for col in a_df.columns:\n",
+    "    if a_df[col].nunique() > 4:\n",
+    "        numerical.append(col)\n",
+    "    else:\n",
+    "        categorical.append(col)\n",
+    "\n",
+    "print(f'Numerical Variables: {len(numerical)}')\n",
+    "print(f'Categorical Variables: {len(categorical)}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x1400 with 15 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,14))\n",
+    "for i, col in enumerate(numerical, 1):\n",
+    "    plt.subplot(5,3,i)\n",
+    "    plt.hist(a_df[col])\n",
+    "    plt.title(f'{col} distribution')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"numerical.png\", dpi=300)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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6SyZ9Dz/8MF988QXDhw/n5ZdfJjw8nN9//53333+fqVOn0qJFi8p+jfz66694eXmVWH7TTTdV6Hpfr9czfvx45s6di7e3N6NHjy4xMvPbb7/NlVdeSd++fZk6dSoRERFkZmZy7Ngxfv311xLPDtdZWo9oVZ/s2rVLvfPOO9XIyEjVZDKprq6uarNmzdTx48erq1evtlt39+7d6i233KIGBgaqLi4uanBwsDpgwAD1gw8+KF6naES7rVu32m1b2iic+fn56qOPPqoGBgaqrq6uaq9evdSNGzeWGDFOVVU1MTFRfeCBB9TIyEjVxcVF9fX1Vbt27ao+88wzalZWlqqq50damzNnTvV+SUIIUc0uN/onoH788ceqqha20VdccYXq7u6uAurVV19tt3152trw8HB1+PDhJWK4+uqri/d3qW1VVVU3btyoDh06VPXx8VFNJpMaFRVlN9J9aaMlp6SkqDfddJPaoEEDVVGUUkcIffHFF1VA3bRpUzm/NSFEfVTe9jItLU2966671AYNGqju7u7qoEGD1EOHDpUYLVlVVXXZsmVqp06dVDc3N7Vp06bqe++9V2K0ZFVVVavVqr755ptqu3btVKPRqPr4+Ki9e/dWf/311+J1NmzYoPbu3Vt1d3dXAwIC1MmTJ6s7duwoMfpvfn6+OnnyZDUgIKC4XSxqN0u79j116pR62223qX5+fqqLi4vasmVLdc6cOcUjFqvq5a99L/7cRZ/vUq8i5bneL3LkyJHi7VetWlXqv9/JkyfVu+66Sw0LC1NdXFzUgIAAtU+fPurMmTNLfI66OlqyoqqqWnOpsxBCCCG01q1bNxRFYevWrVqHIoQQQtQYKUsWQggh6qCMjAz27dvHb7/9xvbt2/npp5+0DkkIIYSoUZLcCiGEEHXQjh076N+/P35+frzwwguMGjVK65CEEEKIGiVlyUIIIYQQQgghnJ5O6wCEEEIIIYQQQoiqkuRWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+RWCCGEEEIIIYTTk+TWCf3111+MGDGC0NBQFEXh559/1jokIYQQQgghhNCUJLdOKDs7m44dO/Lee+9pHYoQQgghhBBCOASD1gGIihs6dChDhw7VOgwhhBBCCCGEcBjScyuEEEIIIYQQwulJciuEEKLOe//994mMjMTV1ZWuXbvy999/ax2SEEIIIaqZJLdCCCHqtCVLlvDQQw/xzDPPsHPnTvr27cvQoUM5ffq01qEJIYSo52Sg2Oolya0QQog6be7cuUyaNInJkyfTunVr3nrrLRo3bsz8+fO1Dk0IIUQ9JwPFVi8ZUEoIIUSdZTab2b59O0899ZTd8sGDB7NhwwaNohJCCCEKyUCx1UuSWyeUlZXFsWPHin8+efIku3btwtfXlyZNmmgYmRBCOJakpCSsVitBQUF2y4OCgoiLi9MoKiGEEELUBElundC2bdvo379/8c+PPPIIABMmTGDhwoUaRSWEEI5LURS7n1VVLbFMCCGEEM5Nklsn1K9fP1RV1ToMIYRweP7+/uj1+hK9tAkJCSV6c4UQQgjh3GRAKSGEEHWW0Wika9eurFq1ym75qlWr6NOnj0ZRCSGEEKImSM+tEEKIOu2RRx5h3LhxdOvWjd69e/PRRx9x+vRp7r33Xq1DE0IIIUQ1kuTWCamqSlKWmXNpuaRk55NrtpFXYCW3wIrZYkP9bx0AnaLg7eaCn4eRhh5GfN2N+Hoa8TTJP70Qon4YM2YMycnJvPzyy8TGxtKuXTuWLVtGeHh4tR5HVVUy8y1k5BaQnltARq6l8L95BWTkFpBXYMXNaMDLZMDDZMDT1YCnSY+nyQUPkx6v//5r0EtRlRBCVJesfAtpOWbSi9vmAtJyCsgtsKIAep2CTqegVxR0ioJep+DlasDfy4S/hwl/LyPuxpq7bpaBYquXosrDmw4p32Jl37kMTiZlcy41l5i0XM7994pJyyXfYqvS/o0GXWGi62Gkia87rUK8aBXsTZsQbxr7uslAK0IIUQpVVTmVnMOhuAwOxGZyMDaDYwlZpGSbycwrwFYNZ1RvVwORAZ5E+XsQ6e9B0wBPWgR50jTAE71O2mYhhLhYYmY+J5OyOZmUxYmkbKKTsjmZlM2p5JwqXzMDuLno8fcyEuztSrNAT5oHetEiyIvmQZ4EebtWad/r1q2zGyi2iAwUWzmS3DqIc2m57DiVys7Taew4ncqBmAzM1qr/MVaGp8lAiyBPWod40yrEm86NG9A21FsSXiFEvZJjtnAw9nwSeyg2g8NxmWSbrZrE4+qio1WwN21DvWkb6kOPSF+aBXpqEosQQmjFbLGxLyad7dGpbD+Vyo7TqSRk5msWj4+bC80DPenUuAG9mvrRPdIXHzcXzeKp7yS51cjZ1Bz+2B/P1ugUdpxOJT5Duz/K8vD3NHFVC3/6tQzkqub+NHA3ah2SEEJUu6Pxmaw7nMi6IwlsPZmq2U3G8mri686AVoH0bxVIr6a+mAx6rUMSQohqZbWp7DidytpDCWw5mcLec+nV0htbU3QKtA7xpldTP3pG+tKzqZ8ku7VIkttadDo5h9/3xrJ8Xyx7zqZrHU6l6XUKHRv50K9lIP1bBtIuTHp1hRDOyWZT2XwyhRX7YvnzYALn0nK1DqnS3I16rmjmz4BWgQxoFVjlUjkhhNBKXoGVdYcTWbk/jnWHE0jNKdA6pEoz6BR6NfXj2nbBXNs2iEAvaZtrkiS3NexkUjbL9saybG8s+2MytA6nRgR7uzK6Sxg3dW1E0wApkRNCODZVVdl4PJnf9sbyx/54krIcu3KmMhQF2oR4M7hNMGO6NybYRy6mhBCOzWZT+etoIt9tP8vaQwnkaPQISE3SKdAz0o/rO4UytF0IPu7So1vdJLmtAblmKz/tPMfXm0/V2YT2UrqGN2RM98aM7BiKq4uUxwkhHEeO2cIP28+y4N9oTiRlax1OrTHoFK5tF8zEPhF0j/DVOhwhhLCTkJHHt9vO8M3WM5xNdd7qmYoyGnRc1z6ECX0i6Ni4gdbh1BmS3FajMyk5fLExmm+3nSU913nLJ6qDj5sLN3dtxB29wonw99A6HCFEPRabnsvCDdF8s+VMvW+b24Z6M6FPhNyAFEJoSlVV1h9JZNHm06w5lIClOoaad2IdGzdgQu9wrusQitEg08FVhSS31WDfuXQ+WH+c5fvisNbzP86LKQpc0zqIRwa1oHWIt9bhCCHqkZ2nU/n0n5Os2BdX7y+cLubrYWRM98aM6xVOaAM3rcMRQtQTNpvKsn2xvLfmGIfiMrUOx+H4exq5tUcT7roikoYeMnhrZUhyWwVbo1N4+8+j/HMsSetQHJ6iwPD2ITw8qAVR8lyuEKKGqKrKsr1xfPLPCXaeTtM6HIen1ykMaRvM49e2lCobIUSNsdlUft0Tw3trjnE0IUvrcByep8nAXVdGcnffSLxc5bncipDkthLOpOTw6rKDLN8Xp3UoTkevU7ihcxgPDmxOY193rcMRQtQhO0+n8uLS/ex24tHotWLU65jQJ5z7BzbHWy6khBDVxGZT+WX3Od5dc4wTifVnrIPq0sDdhSlXRTGxTwRuRnmUpDwkua2AzLwC3lt7jAX/RmN24Pm1nIFRr+OW7o24f0Bzma5CCFEliZn5vLb8ED/uPIuc0arGz8PIw4NacGuPJuh1MsWbEKLydp5O5YWl+516+ktH4e9p4v4BzbijV7i0zWWQ5LYcbDaVb7aeYe6qwyRlmbUOp05xc9Hz6OAW3HVFJDr5YxVCVECB1cbCf6N5Z/VRMvMtWodTp7QK9uL569rQp5m/1qEIIZxMclY+/1txiO+2yw3H6tY21JtXb2gvoytfhiS3Zdh4PJmXft0vD73XsE6NGzD7pg60CPLSOhQhhBP460giL/26n+NS5lajBrUJ4plhreV5XCFEmaw2lS83RjN31REy8uSGY03RKXBHr3Aev7alPI9bCkluLyHfYuW15YdYuCFa7jrVEqNex/T+zZjWPwoXvQyDLoQo6UxKDi//doBVB+K1DqXeMOp1TO0Xxf0DmmGQtlkIUYqj8Zk8/O0u9p3L0DqUeiPQy8TzI9pwXYdQrUNxKJLcluJQXAYPfbNLems10irYi9k3daBDowZahyKEcCAr9sXy+Pd7yJQeAU10btKAt8Z0ItxPenGFEOct/Pckr604RF6BjEejhWvbBjH7xo74uEsvLkhya0dVVT77N5r/rTgkA0ZpTK9TmNw3kscGt5ReXCHquQKrjVd+P8jCDdFah1LveRj1vDiyLTd3a6x1KEIIjSVk5vH4d3tYfyRR61DqvbAGbrxzaye6hvtqHYrmJLn9T0JGHo9+t5u/j8qctY6kR4Qv827vQoCXSetQhBAaOJuaw/RFO9l9Jk3rUMQFRnYM5bUb2+NuNGgdihBCA3/sj+OpH/eSki0DrToKg07h4UEtmHp1VL0epFWSW2DNoXge+26P/IE6qBAfVz64o6uMDCdEPfPngXge/W436bkFWociStEs0JMP7uhCs0AZCFCI+sJmU/nfykN8uP6E1qGIS7iymT9zx3Qk0Kt+TrVZ75Pbz/45yczfD2Cr19+C4zMZdMwc1U5K4YSoByxWG7NXHubjv0/IgH4OzsOo57UbOzCiowxoIkRdl5Vv4cHFO1l9KEHrUEQZAr1MfDaxO+3CfLQOpdbV2+TWZlN5+bcD8gyXk5nQO5znrmsjI3YKUUfFZ+Qx7esdbD+VqnUoogKm94/i8WtbaR2GEKKGnEnJYdLnWzkSn6V1KKKc3I163r21MwNbB2kdSq2ql8ltrtnKg9/s5A+ZSsIp9Yj05f3bu+DvKc/hClGXHE/MYvynWziXlqt1KKISxvUK5+Xr26Io9fdZLyHqok0nkpn29Q55fM8J6XUKz1/Xhgl9IrQOpdbUu+Q2KSufSZ9vk8FJnFykvwdfTe5JWAM3rUMRQlSDvWfTmbhgC8ly8eTUbugcxpybOkh1jRB1xG97Ynh4yS4KrPUqXahz7rwigueGt6kXA03Vq+T2WEIWdy7cwpkU6RWoC8IauPHV5J5E+suci0I4sw3Hk7jni+1k5cv8tXXBoDZBvHdbZ0wGvdahCCGq4McdZ3n8+z1YZWCaOmFI22Deva1znZ9is94kt/tj0rn9k82k5ciom3VJgJeJryb1pGWwjNYphDNaeziBKV9ul7nF65g+UX58PL4bHiaZKkgIZ/TNltM8/dNeGXC1jrm2bRDzbutSp6tr6kVyezguk7EfbSRVEts6yc/DyOJ7etEiSBJcIZzJ2kMJTPlKEtu6qnOTBiyc2AMfdxetQxFCVMAXG6N5Yel+Ga2+jhraLph3b+1cZxPcOp/cHkvIYuxHG0nKkue46jJ/TyPf3NNL5lsUwkmsORTPvV/tkMS2jmsV7MUXk3rU2/kWhXA2n/x9gpm/H9Q6DFHDhrcP4e2xnepkglv3PtEFzqTkcPsnmySxrQeSsszc+vFmjifKEPVCOLp1hxMksa0nDsVlMv7TLWTL89RCOLzvtp2RxLae+H1vLA8t2VUnn6eus8ltclY+4z/bQnxGvtahiFqSmJnPnQu2ylD1Qjiww3GZTP9aEtv65FBcJg8s3omtDl5ECVFX/HUkkRk/7tU6DFGLftsTy7M/79M6jGpXJ5PbrHwLExds5WRSttahiFp2OiWHe2VwGiEcUkq2mclfbCXbbNU6FFHLVh9K4JVl0iMkhCPady6daV/vwCI3oOqdxVtO88nfJ7QOo1rVuWdubTaViQu38teRRK1DKZe0f74m/d/Fdst0Hg1ofN9XAKiqSvq/i8javRJbXhbGkBb4DpqKMSD8svu15WWR+teX5B7ZgDUvC4NPEL4DJuEW1R2ArP1rSVv/OWpBHp4dBtOw/13F21rS44lf8hwhE95CZ3Kv5k9cO27p1ojZN3XUOgwhxH8KrDbu+GQzm0+maB2K0NCrN7Tntp5NtA5DCPGfs6k5jH5/AwmZUulYX+kU+GhcN65pE6R1KNWizo3R/9afR5wmsS3i4t+EoDGvnF+gO9+hnrH5BzK2/oz/sIcx+IaSvmEJCd8+R+jkDy6ZeKrWAuKXPIfe3Qf/UTMwePljyUxEZ3QDwJqTTsqKd/Eb9hCGBsEkfP8Spibtcf8v8U1e+T4Nr57otIktwLfbztI80Iu7r2qqdShCCOCFpfslsRU8/8s+wv3cuaKZv9ahCFHvpecWMHHBVkls6zmbCg9+s5Pv7u1Dm1BvrcOpsjqV3K49nMC7a49pHUbF6fToPRuWWKyqKpnbfsGn9xjcW/YBwH/4I5x57w6yD67Hq9PQUneXtWcVtrxMgu+Yg6Iv/Cc2+AQWv29Ji0MxuePR+ioAXJt0oCDpNER1J/vAOhS9ofh4zmzW8oNEBXowoFXduBMlhLP6YmM0izaf1uTYZVXHWLNTSV23kLzondjysjE1bovvNVNw8Q275D6z9v5J8rK3Sixv8uiPKAZj4Tp1vDqmsiw2lalfbeen6VcQFeCpdThC1FuqqvLwkl0cS6h/A3Fm7lxG5s5lWNLjgcJOpgZ9bsUtqhtQufNC3KKnyD9T8vlVt6bdCLz5RcCxzwvZZiuTP9/Kz/dd4fSj29eZ5PZsag4PL9nllHNyWVJjODtvPOhdMIW0oMHVE3BpEIwlPR5rdipukZ2L11UMLrg2bkf+uYOXTG5zjm3GFNqKlFXzyTm6Gb27Nx5t+uHd80YUnR6DbxhqQT7m+OPovQMxxx7Bs/01WHMzSfv7a4JufbW2PnqNsqnwwOJd/DC1Dy2DZYogIbSw4VgSL/96QNMYLlUdo6oqCT/ORNEZCBj9LDqjOxlbfyZ+ybOETpqPznjpE7xidCfs7g/tl/2X2NaH6piqyMizMGnhVn6efgUN3I1ahyNEvfTemmOsOZSgdRia0Hv50fDqCRgahgKQtW81CT/OJGTi27j4N6nUeSHghmfAen5UeGtuBrEL7se91ZWFPzvBeSEmPY+pX+1gyT29nHqKIOeN/AJmi43pX+8gLadA61AqzBTSEr/hjxB4y8v4Dbkfa3YqcV89hjU3A2tWKgA69wZ22+g9GhS/VxpLWjzZh/9FtdkIvPlFfHqPIWPLT6Rv/LZwe1dP/Ic/TNJvc4n74hE82g3ArWlXUtd+ilfX67CkxxOz4AFiPp1G9qF/auyz14asfAt3f7GNLJmGQohadyo5m2mLHGCQkv+qY4pf7j5A4Y1Fc8xhfAdPwxTSAhe/RvgOnopqziP74PrL71NR7Pd5QfXNhdUxppAW56tjoE5Vx1RFdHIOU7/aISMoC6GB/OhN/Lttu9ZhaMa9WU/corrj4huGi28YDa8aj87oSn7M4UqfF/RuXnbng7zoXSguJtxbFia3znJe2H4qldf/OKJ1GFVSJ5Lbl3/bz+6z6VqHUSluUd3waHkFxoAI3CI6EXjTiwBk7119fiVFsd9IVUsus3vfht69AX5D7sMU3AyPNlfj0/sWsnYuK17FvUUfQifNI2zKxzS48nbyTu+hIPEUnh2vJWnpbHwH3k3AqKdJXv4O1uy06vvAGjidksMrv2vbcyREfWO22Jjy5XaHuOlYVB1z9oNJJP7yPwrS4oDC8QngfI8rgKLTo+gN5J+9fJuhmnM5O/9Ozs6bQML3L2GOP1783oXVMdbcTMyxRzAGRBRXx/gOurcGPqXz2XgimQUborUOQ4j6JScF0w8TWWx7gifDj2odjeZUm5XsA+uxFeRhCmtVpfPChbL2/IFH66uKe3qd6bzw4V/HWe9k4xddyOmT2593nuOrTdo8y1UTdEZXjP4RFKTGFPcE2LLte2mtOenoPRpcch96T19cfENRdPriZS5+jbFmpxb/0V5ItRSQ8sd8fK+djiU1FtVmxbVJe1z8GuHiG0Z+7OHq+XAaWrzlDOsO18/yGyG0MG/tMQ7FZWodxmWrY1x8G6H3DiRt/edY87JQrQWkb/oOa3Yq1qxLD37l4tsIv+EPE3jjc/iPfBxF70LcV09QkHIOqF/VMVX1+srDRMu0fULUnl+mQ2YsSn46U+Nf4Pfmv+Khr3/TJ5oTozk99yZOv34DyX+8T+ANz2D0b1Lp88KF8mMOU5B0Cs8Og4uXOdN5QVXhse92k5Jt1jSOynLq5DYuPa/OTT6sWgooSD6D3tMXg08Qeo+G5EbvPP++tYC8M/swhbW+5D5MYa0pSI1FVc83VgWp59B7+qLoXUqsn7bhG1ybdsUU3AxUG9jOz0Gp2ixgqxuN3lM/7CU9V/teJCHquiPxmcxfd7zsFWvB5apjFL2BgBuepiD1HGffHsvpN24k7/ReXJt2tRu1/mKmsFZ4tu2PMbApro3b4T/qKQy+oWTu+K14nfpUHVMVuQVWnvhhD3VsVkIhHNOWj+HwMrtFbc8sZkvIHLr5aH8zsja5+IYRcuc7BI97A6/OQ0n6/U3MSacrfV64UNaeVbj4h2MKbWm33JnOC4mZ+Tz1wx5NY6gsp05uX1i6z+mfpUxd8yl5p/dSkBZHfsxhEn9+FZs5B892A1EUBa9u15O+8TtyjmzAnBhN0u9voXMx4dH66uJ9JP32BqnrFxb/7NV5GLa8TFL//IiClHPkHN9K+sbv8Oo8vMTxzYmnyDn0Fw2uvAMAg28jUHRk7v6DnONbKUg+izGkeY1/D7UhLiOPF5fu1zoMIeo0m03lyR/2YLY65k2xC6tjAEzBzQi9810aP7SERvd9SdAtL2PLzcTgE1zufSqKDlNwcwpSYkp9vz5Ux1TFlpMpfLHxlNZhCFG3JR+HP54r9S2PpN18qzzJY+FOOONIJSl6F1wahmIKaU7DqydiDIwkc9tSoGrnBVtBHtkH/8Kz4+DLrucM54U/DsTz3bYzWodRYU47WvKfB+JZuT9e6zCqzJKZRNKvc7DmZKB398YU2orgcW8UT93j3fNGVEs+KX/Mx5qXhSm0JYG3vGw3mpolIxGU8/cpDN4BBN3yMimrPyHzs/swePnh3W0k3j1vtDu2qqqkrHyPhgPuLn4mQOdiwm/YQ6Ssmo9qLcB30L0YvOrOfIQ/7TzHtW2DGdKu/BeuQojyW7Ahmp2n07QO45KKqmNMjdvaLdeZPAAoSDmHOe4YDfreUf59qirmhJO4BISX+v6F1THm+ON1tjqmKv634hADWgXS2Ld+jiAtRI1b8RRYci/5ti4vjfvynufq5rdzy4kh5Fr1l1y3blJLPLpXmfNCzqF/UK0FeLTtf9n1nOW88Oqyg1zTOoiGHs4zsr1TJrc5Zgsv1JEeuIDrn7zs+4qi0ODK22lw5e2XXCf4ttdKLDOFtSZk/Btl7jv4jjkllrs364F7sx6X3daZPfvzXrpHNMTP06R1KELUKWdScnjjD+3vNl8odc2nuDXrgd47AFtOOukbvimujgHIPvQPendv9N6BFCRGk/LnR7g374VbZJfifST99sZ/U0dMBCDtn0WYQlsWDhCSn0PG9qWYE06UOiBIUXVMyMR3AfvqGL1nwzpVHVMVOWYrT/6wh68n90S53ICJQoiKO7ISjv5RrlXbn/mabaH7GZcxlR3pdXMaxdT1n+PWtCsG7wBs5lyyD/5F3ul9BN78ElC580KRrD1/4N68F3o370se35nOC6k5BfxvxSFeu7GD1qGUm1Mmt2+uOsK5tEvffRLicpKyzMz8/SBvjumkdShC1ClP/7SXHLO17BVrUVnVMdasFFLXfII1Ow29Z0M82w7A54qx9vu4qDrGlp9N8sr3sGanojN5YAxsSvBtr5V4vqo+VsdUxYbjyXy9+TR39Cq9B1wIUQkWM6yYUaFNPBJ38b3rk8xr8ihvnI6qocC0Y81OI+m3uVizUwrb8IAIAm9+CbfIzoXvV+K8AIU9vPlnDxB4y/9d8tjOeF5Ysu0Mt3RvTJcmDcte2QEoqpON4rA/Jp3r3/tX+3kThVNTFPj1vitpF+ajdShC1Anfbz/LY9/t1joM4eQ8TQZWPnwVYQ3ctA5FiLrh37dh1fOV3nxP4zsYc+LaelimLC7UNtSbpfddiV7n+JU1TjWglM2m8vRP+ySxFVWmqoXPeAkhqi4l28xMmUtaVIOsfAuvr3Ss0nYhnFZmPKwv+fhZRXQ48xVbQ+fSxSermoISzmh/TAZfbozWOoxycark9sed59h9Jk3rMEQd8ffRJP4+6ryTVAvhKD7++wRpOTLNlqgev+w6x6G4DK3DEML5/fkimKs+xY9n4k6+V57k4SYnqh6TcFpvrDpCuhOc650mubXaVOatrT9DlIva8dryQzK/ohBVkJZj5kuZxkVUI5uK9N4KUVVnt8HuxdW2O11eKg8kPMcvzZdj0jnGSL6idmXmWfjkH8e/weE0ye3S3ec4mZStdRiijtkfk8Evu0qfm1IIUbbP/jnp9PONC8fz58EEtp9K0ToMIZyTqsLyJ4DqvXmvoNLxzJdsb/QmnbylTLk+WvBvNGk5Zq3DuCynSG5tNpX31kivragZr/9xmHyLY43wKoQzyMgrYMGGaK3DEHXUG38c0ToEIZzTkZVwbnuN7d4zYTs/6p/iQSlTrney8i18/Ldj/7s7RXL7295YjidKr62oGWdTc/lq02mtwxDC6Sz4J5rMPOm1FTVjw/FkdpxO1ToMIZzPpvdr/BC63BQeSniOn5qvlDLlembhv9GkZjtu763DJ7eqqvLemqNahyHquE//PoHFKo2zEOWVlW/hs39Pah2GqOPmSdWWEBUTfwBOrq+VQymodD7zOdsavUUHKVOuN7LNVj78y3F7bx0+uV2+L44j8fIHI2pWTHoey/fFaR2GEE7j8w3RpOc6/qiJwrmtPpTAgRgZOVmIcquFXtuLeSVs42f9DO5vIjc864svN0Y77HgbDp/cvit3bUUtkV4oIconx2zh03/k70XUjvnrj2sdghDOITsZ9n6nyaF1uck8kvAsP7b4AxedzEJR12Wbrfy046zWYZTKoZPbLSdTOBgrd2xF7dh5Oo2d8nyXEGVavOUMKQ78vI2oW1bui3P40TmFcAjbPwNLnmaHV1Dpcnoh2xu9RXsvGSunrnPU8WocOrn9Zqtjfmmi7vp6s/zOCVGWJdI2i1pkttr4dU+s1mEI4disBbD1U62jAMA7YSu/GGYwvXG01qGIGnQ4PpOt0Y43ZZvDJrcZeQUs2ysnM1G7ftsTI88RCnEZe86myTgIotY5avmbEA5j/0+Q6TjXzbrcJB5LfIbvm6+SMuU67KtNp7QOoQSHTW5/2RVDXoGMXitqV16BjZ93ntM6DCEc1vfbJckQtW/H6TSik6TMUYhL2jRf6whKUFDpdmYB2xu/TVspU66Tlu+NIzkrX+sw7Dhscvuj3KUVGlmy9YzWIQjhkMwWG0t3x2gdhqinfpQbj0KULvEwxOzQOopL8o7fwq8uM5ja2PF6+UTVmK02fnKwttkhk9tTydnsPJ2mdRiinjoQm8GZlBytwxDC4aw9nEBajpTtC238tPMsqirljUKUcHiZ1hGUSZeTxBNJz/Bt89VSplzHrHCwqTQdMrn9ZZf0DAhtrToQr3UIQjgcGQdBaOlMSi5bo2VEeyFKOLxc6wjKRVFt9DjzKdsav0trT+lEqCu2n04lIUO7Ubov5pDJrZS9Ca1JciuEvXyLlTUHE7QOQ9RzP+2UR5aEsJOdBGe3ah1FhfjEb+J341NMaSQj79cFqgorHei62eGS2zMpORxLkJE4hba2RqeQLuWXQhT760gSmfkWrcMQ9dzve2LJK7BqHYYQjuPIClCdbwBWXU4STyU/zZLma9Arzhe/sLdin+NUdjlccrvheJLWIQiBxaay9rD0UglRREqShSPIyLOwTUqThTjvkOM/b3spimqj55lP2NHkPVpJmbJT23wihdRss9ZhAA6Y3P5zLFnrEIQApDRZiAv9c0xuPArHsCU6ResQhHAMBXlwYq3WUVRZYZnyDCY3ktkqnJXFprL6kGN0CjlUcquqKhul51Y4iPVHEjFbpFRGiNPJOSRmOtY8dqL+2npSklshADixDgrqRo+nPieRZ5JnsLj5OilTdlKbTjhGB6VDJbcHYzNJynKMLm0hsvItbJGLKCHYflr+DoTj2HkmlQKrXPwK4QxTAFWEotrofeYjtoe/TwuPXK3DERW01UGqahwquZXnbYWj2Xlanu0SYvsp+TsQjiOvwMbec+lahyGE9o79qXUENaJB3AaWu85gUpiUKTuTU8k5DjElkEMlt/JMl3A0cgElBOw4laZ1CELYkdJkUe9lxkHGOa2jqDH67ASeTXmar5uvlzJlJ+IIYyI4THJbYLVJCahwOJLcivouO9/C4fhMrcMQwo6jlL8JoZmYnVpHUOMU1coVZz5kW/h8mkuZslNwhBuPDpPcnkzKJscsc9cJxxKbnicD6Yh6bdeZNKw2VeswhLCz7VQqqiq/l6Iei9mldQS1pmHcv6xwfZqJoWe1DkWUYYsDTNXmMMntsYQsrUMQolT7pPdW1GPyvK1wRGk5BRyV6wZRn9WDntsL6bPjeSF1Bl81X4+iyI0tR3U0PlPzAf8kuRWiDHvOSnIr6i9JboWj2uYAPQRCaCZur9YR1DpFtXLlmQ/ZHj6fKHcpU3ZEFptKdFK2pjFIcitEGeS5W1Gf7T6bpnUIQpTqVLK2F1BCaCYvAzJjtI5CM75x//CH+7OMD62/34EjO56obU4nya0QZZCyZFFfZeYVkJZToHUYQpTqXJr03Ih6KvGw1hFoTp8Vy0upT/J587+lTNnBaJ3TOURya7OpnEiS5FY4priMPPItMtiZqH/iHWC+OiEuJUaSW1FfJUlyC4Vlylefmc+2iA9p6i7nK0dxPFHKkjmXlktegcxhJRxXQoaMmCzqn7h0+b0Xjkt6bkW9JT23dvxi/2KV+zOMC6278/46EylLBo4myByKwrElZModQVH/xEnPrXBgiZn5mo/KKYQm0k5rHYHD0WfF8nLaDBY2/0fKlDV2Unpu4VyaXEAJxyY9t6I+krJk4chsKsSly++oqIfy0rSOwCEpNgv9zrzPtoiPiHCTtkErmfkWTR/nc4jkNiNXBiwRjk0u8kV9JImDcHRSmizqpTwZ6PJy/GLXs9rjWW4LidU6lHorNVu73M4xkts8SW6FY0vIlJ5bUf9IWbJwdDKolKiXJLktkz4rhlfSn+Sz5v9KmbIGUrLNmh3bIZLbzDyL1iEIcVnxUpYs6iHpuRWOTpJbUS/lpmkdgVNQbBYGnJnHlshPaCJlyrWq3ie3UpYsHJ0MKCXqI+m5FY5ObjyKeik/Q+sInEpAzFrWeD7HWClTrjUpOfU8uZWeW+Ho0nLkBoyof7S88ypEeZgtMlqyqGfys8Am180VZcg8x6z0p/ik2QYpU64FqfW+51aeuRUOTqabEEIIx1Ngk7ZZ1DPyvG2lKbYCrjn7HlsiP6WRq1R91KSsfO1uwDhEcis9t8LRWW1yl0/UP3pF0ToEIS7LYpW2WdQzMg1QlQXErGGd13PcHByndSh1lk3D62aHSG6zNczuhSgPSW5FfaRziDOEEJdmkZ5bUd/kyfO21cGQeZbZGU/ycbNNWodSJ1k0vG42aHbkC+ikd6BUesWGr4uFhi4WfAxFrwK89Wa8DAV46grwVMy46wpwV8y4K/m4YcZEPga0mzy5LlLd/YB+WochRK2Sntvq9WTTwwSdy8I3MVPrUOoM1+SWQFetwxCiFsnN9uqi2AoYdPYdPuyYhrrDB9dsKVWuLr7pAC00ObZDJLcueue7gHLXW2noYqGhSwE+Bgve/yWeXroCvPQFeOjNeCqFSaeHzowb+biRjyv5mNR8jP+9XGx5GKx5GGx56C256P57YclFsf73MLb1v5f8zWnHrxkwS+sohKhVcuOxerTwyOWroEUExqxmSvtruG2jB4HLtoEqF6lV5WWQQc9EPWP01DqCOmex2zkyWu7lpdW+GHYe1DqcOsG/TYRmx3aQ5Lb6at8URcXHYKGhwUIDl/NJp7e+oLi300tXgIcu/7/eTjNumAuTzv8ST5Oaj9FWmHAarIUvvTUXpTjxzEMpGqmu4L+XqNt0LlpHIESt0+kkua2qZyMOc1f6e+hikgHoj477Ouzk5og23PJ9Imp8gsYROrlqvH4QwimYvLSOoE4569uEHenHUF1Uxg1J4cWW3Wn5/U6wyCOTVaFo2DY7RHI7MjCBAte4y5bZFvZ45mG0FfZ2FvV46q156Ky56Cx5KJZcKMhFQS2s2jD/9xKiqnQO8aciRK3SS3JbaRFueXwd+h1h55bbLR96YiuzQ3z5zvsw6yd48uq2Lniv2aFRlM5P0UvbLOoZSW6r1a9N2qOm7wXAispzkTu5ZnokU37MQT1zTuPonJhBu7bZIc4K95s/hYSNWochxKXppedW1D9Sllw5jzY5zrTsd9GfK9kr65OTylXePVmddoAEfRaTe+5hcrNOXPtdNGpqWu0H6+T03t5ahyBE7ZLkttqoKCwtSCyx/E/3k2y9zZU527vS4M/tGkTm/PRe2v2eOkY9j/yhCkfnEaB1BELUOqn4rJgQVzPrmn3D/QnPoc++dLnxiKwsu58/8dvH45MN5PXuUNMh1jn6Bg20DkGI2mUwgd6odRR1wvbwLpzNKX06oHRdHvd0382auzujaJioOSt9g4aaHdsxLl0kuRWOzitI6wiEqHWuLnqtQ3AaUxtH84/n00ScXVrmulcd30wDo4/dsmhDGuP7HWDTxK4oHh41FWado2+o3QWUEJqRQaWqxVK/4DLX+cB/Ly9M8cTavmUtRFR3aNk2O0hyK2VFwsF5lt0AClHXBHm5ah2CwwswFrCq+Y88mfg0+qyYcm3jYitgiEd4qe/NDdnNS1MbYO3YqjrDrLOk51bUSyZJbqsq1+jOH5nHy7XuAZdExg0/yfGbe2j6LKkz0TdsoNmxHSO59QrROgIhLk96bkU9FOwjye3l3BV2ho0NnqP5me8rvO2IhNOXfG+fSzy3DT3G/tu6o5hMVQmxzpPkVtRLRql4rKrVTXuRbckp9/oWxcaMZjtYOC0KJVQ6PMpiqPc9t75NtY5AiMuTnltRD0lyWzofFwvLmv/Kc8lPYci4dJJ6OR3O7iHCI+yS76sKvBS+k7nTQlBbyjnyUiS5FfWSq1Q8VtUvbpVLgZZ5HGfquFwy+3Wu5ojqFi3bZgdJbiO1jkCIy/OS5FbUP8HektxebGxILFv9XqTNmcWF085VwQh92Xe2N7qeZdwN54i+UcrhSuMSKpVfoh5qGFHpTWf9nU/3j7PwmpVB4JxMRn2Tw+Ekq9068Vk2Jv6cS+gbmbi/ksGQr7I5mmy9xB7PS8tTmf57LiFvZOI6M4PW87JYdrSg+P2v9xTQ+M1MfP+XweN/5NltG51mo8W7WWTkV61dLY+4BmFsST9W6e2TdNlM6r2Xf+7qImMklELfoAGKi3azjDhIcit3pYWDk+RW1ENhDd20DsFheBis/NRiJbPSHseYdqJa9jni9F4Uyp5uyaxYeaLFDj6d3hQlvFGVj5ttszIrIZ6Bx4/R+chhbjt1ir25uZePwWbjrcREBh4/Rscjh7n2xHF+SE8rfn9DdjZDTxynx9EjzIiNwayev0DNtFoZeuI4MQUFpey58nTe3hj8/Kp1n0I4hYDKP5O//pSF6d2NbJrkwapx7lhsMPirHLLNhX+zqqoyakkuJ1Jt/DLWnZ1TPAj30XHNl+fXKY3ZqjLoy2yi01W+v9mNw/d58vEIV8K8ClONpBwbk3/N5fVBrqy8w4PPdxfw+5HzbcLU33N57RoT3qaan4Lut/CO2FRblffzTtAe/u/eBtjaNKvyvirTLi9KTeW6kyfofOQww06c4Jf0dLv3tWiXAYyR2nZaOkZy6+4Lrj5lryeEJhTwCNQ6CCFqXVN/uSMNMCoogR0BM+l8+nOUarggKhKSeoZuPuW/KFrpfoK7xqaSMLw7VGEO4ufi4tiQnc3/QkL5OSKSPh7uTDp7hvjLXOQ8HBvDppxs/i84hGWRkcwJCaWpsXA6Epuq8kRsDGMaNOTrJuHszcvj+7S04m3fSExkTIOGhFbznXxjZES17k8IpxHYptKbrrjDg4mdjLQN1NMxWM+C6105na6yPbawZ/Zoio1NZ63MH+5K9zA9Lf31vD/clSwzLN536Tbis50FpOSq/DzGjSuaGAhvoOPKJgY6BheOun8iVcXHpDCmnQvdw/T0j9RzILGwPV20twCjXmF069rp7fvFmlpt+9pjjGf8yDOcHt0DdJVPqyraLn+TmsqbSYlM9/NnaUQk9/n783/x8azNygS0a5cBjFHadlo6RnIL0FBKk4WD8m0KBplTTtQ/4X4e6Gr+JrrDctNbWdJ8DW9mPoYp9XCNHGOEuWLrZ+ryua/DTr6b1gYlqOI33fJsNlZlZvJYQCDd3N0JNxq5zz+AMBcXvrngwudCf2dnsS0nhw8aNaaPhwdhLkY6uLnR2c0dgFSrlRSrlVsbNKC5yUR/T0+Om/MB2JGTw/68PMbVwOAipoiIat+nEE4hsHW17Sq98E8VX7fCxj7fUvizq+F846/XKRj18M/pS5cmLz1soXcjA9OX5RH0eibt3s/i1b/zsdoKewub++rIKVDZGWslJVdl6zkrHYL0pOSqPL82j/eG1s5jMHsadSQ6+1y17tOsWHms5Q4WT2tVa+3y0owMbvFpwFBvbxobjQzz9ubGBj58mpICaNcuA5giJbktJM/dCkcV2knrCITQhNGgq7elyUMCktkR/D96nvkExWapseMMPr4FN33FL+q+8z7M9AlmMgZ0qdB2VlSsgPGinl9XRWFHbukjh67NyqKtqyufpSTT7/gxhp44zuyEBPJshb0uvno9AXoD/+Zkk2ezsT0nlxYmE2ZV5eX4eF4IDkJfhZ7mS9G69E0IzTRoXC0jJquqyiMr87iyiZ52gYU9rK38dYT7KMxYnUdqrorZqvLaP/nEZanEZl26cuVEqo3vDxRgtcGy29x59ioTb2w088rfhXfwGropfD7KjfE/59Lj4yzGd3Th2mYGHvsjj/t7GDmZZqPzh1m0ez+L7w9Uf6lskV8Cq/5ox6X85HWE+yeYybmyY4W2q0y7bFZtmC66+2xSFPbk5lKgqpq1ywDGplKWXEh6boWjCqlYIyVEXRLpX7/mU3TRqXzR/G/m5zyKW/K+Gj+eR34m/b0r97xWgj6LyT338Mc9nVDKOaegh05PJ1c3PkhOIsFSgFVVWZqezp68PBItpffKnDUXsCM3l6P5+bwTGsZTgUH8kZnB/8XHA6AoCnNDQ/kgOZkR0Sdp7WpitE8DPklOppeHOyZFx+2nTjHsxAm+Tq2+ckBjhFw3iHossOpzYd+3LI898VYW33j+JqaLXuGHW9w5kmzDd3Ym7q9ksi7awtBmhssmQzYVAj0UPhrhStdQPWPbufBMXyPzt50vT7mhtQt7p3py7AEvXuznyrpoC3sTrNzd1cjY73N561pXfrjFjUlLc0nIrr5HQIqY9SZWZEdX+34vFKfPYmLf/WyZ2A3FrXw3hyvTLl/h4cn3aWnsz8tDVVX25eXyU3o6FiDNatWsXQYwNdW259Zxhl4Mbqd1BEKULqST1hEIoZk2Id78dSRR6zBqRT/fVOZ5fIzHmV21etyRacksq8L2n/jt48/JDXj5nw64btxT5vqvhYTwbFws/Y4fRw+0cXVluJc3B/LzSl3fhooCzA4JxUtf2LtjVoN4KOYczwUF4arT0dXdnW/DI4q3iTabWZqRzg8RkYw/fYrxDX250sOD66NP0s3NjZauVS9BNLVoXuV9COG0AlrB2a2V3vz+ZbksPWLhr4keNPK27+vqGqpn172epOcV9twGeOjo+UkW3UL0l9xfiJeCi05Bf0FvYmt/HXFZhfsw6u0T43yLyrTf8/hqtBvHUmxYbHB1RGFa0sJPx+azVka0rN4+uLXNepFhPlmt+7yU10N20X1qKI/9bkA5XPYghBVtl6f6+ZFksXDrqWhUwM9gYJRPYVly0bemRbusGI24NKq53vHycJye2ya9tY5AiNJJz62ox3o29dU6hBqnV2x83GwTC8yP4pG4q9aP3+vkNgJdqzbqb7QhjfH9DrDpzm4onpcfCKyJ0cgXTcLZ1rwFa6KasSQ8AgsqjS4xsEiAwUCgwVCc2AI0NRpRgThLyZJtVVV5IS6WJwIDUVWVg/n5DPbyws9goJubO1svUWZXEXofHylLFvVbJQeVUlWV+5bl8uMhC2vGuxPZ8NKpgI+rQoCHjqPJVrbF2Li+1aUHH7qisZ5jKTZsF4zIeyTZRoinUiKxBfi/v/IZ2sxAlxA9VhtYbOe3K7CCtQZmBFrqXrvT2201xTDhhhhiRvYocxDAirbLrjodr4SEsL1FS1Y1jWJ10yjCDC546HQ01Je8CVEb7TKAa9u2KKUcvzY5TnLrHQoNwrWOQgh7DSPArYHWUQihme4Rvhjq8KhSvRums7Px2ww6+w6KpfQ75DVNr1oZ5hpWLfuaG7yLF6f4YOlU9oAz7jodAQYD6VYr/2ZnM8Cz9Gf4Oru5k2ixkG07XyYYbTajA4JLmXv3h/R0Guj1DPD0oqigzvLfBa8FFVs1XLS6deqEUkPPiwnhFCo5qNT0ZXl8taeARaPd8DIpxGXZiMuykVtw/g/zu/0FrIu2FE4HdKiAQV/mMKqVgcFR5//ex/+Uy4w/z7eZU7sZSc5VeXB5HkeSrfx+pIBX/zEzvXvJATn3J1hZst/Cy/1NQOFzvjpF4dMdZn4/UsChJBvdQ6s3QUryDGRD+tFq3Wd55CkWHmq7g++ntUXnX/ZNzPK2y0VcFIVgFxf0isKyzAz6eXiiK6VtrI12GcC9W9fq2VEVOE5ZMkD4FZB2SusohDhPem1FPedpMtA2zIfdZ9K0DqVaKYrKO023c13ChygJ2VqHw4iYYyx0r5597TcmcPuQBJ5v0512P+xBzc+3e/+f7CxUINLFyOmCAuYkJhBhNHKDT+GUfHMTE0iwWHgtJBSA4d7efJCcxDOxsdzn70+a1crriQmM9vHB9aKpL5ItFj5ITuLrJoU3q330epoajXyRmsoVHh5sys7hHt+qz03r1qViA2kJUecEVe5xvvnbCgdr6ve5fU/dgutdmdipMBGNzbLxyB9m4rNUQrwUxndw4bmrTXbrn063oVPO//039tHxxx3uPLwynw7zswnzVniwp5Enr7BPblVV5Z7f8njzWhMexsIkzM1FYeEoV6YvyyPfAu8NcyXMu3r7335v2hVL5v5q3WdFfOt9iA13+jDr7/aYNu0t8X5F2+Vos5k9ubl0cHMjw2rl89QUjubnMyskpMS+a6tdBnDrqn1yq6iqWgMd/5W04wtYer/WUQhx3sAXoO8jWkchhKZmLT/Ih+vLfmbIWXTxyeKzhgtpELdB61Ds3NThSg5nnq7WffbOa8RDy3R2z3wtz8jgraRE4iwWfHQ6Bnt58aB/QHHZ8dOxMZwrKODzJuerqU7k5/NKQjw7c3NpoNdz7X/bXJzcPhZzjs5u7tx+wRQTe3JzeToulmSLhXENfZnm71/lzxX+5Re4d+9e5f0I4dTe7w0JB7SOwimMbn8lR7Oqt32trBlnOtHlu712Nx4r2i4fz8/n8dgYos1mDIpCD3d3Hg0IINJoKnG82mqXURRabN6E3tu76vuqShgOldwmHYP3tM/4hSh291oIkx4CUb+tPZzAnQsqP3CJI5kdtZubk95Hyc/UOpQSPm8/hNezqv9C1ajqmXm0IxG/7IBSnpF1Oi4utNy6BV01DH4ihFNb+QxsfE/rKBzewZA23OKapXUYdvrkNeahpTY4XncqVk0tWtB06S9ah+FAz9wC+DcDj4pPfixEjfAMhtDOWkchhObqwnO3rT1z2Nb0I2459z+HTGwBhp/cgV6p/oE4zIqVJ1rs4NPpTVHCtR3Fsjq4tWkjia2oM2bNmkX37t3x8vIiMDCQUaNGcfjw4fJt3LR/zQZXRywN0XZqmtJscD3DXTcnkjC87lSgOMLztuBoyS1Ak15aRyBEoRaDyxzdToj6oOi5W2f1f5H7+d3wGP4x67QO5bL8sxLo7VNz09usdD/BXWNTCy+mnLht87j6qjLXqVLCIEQtWr9+PdOnT2fTpk2sWrUKi8XC4MGDyc4ux1gAEVeAvmQZqjivQOfCshzHKEe+WJZi5r4OO/l1aodyz1XuyNx7OkYO53jJbfNBWkcgRKEWQ7WOQAiH0SvS+aYEinLPZVPUAsbFvoIuL03rcMplZI65Rvefqcvnvg47+W5aG5Qg56yU8urXr8x1qpQwCFGLVqxYwcSJE2nbti0dO3ZkwYIFnD59mu3bt5e9sYtbYYIrLumfqJ6k5KdpHcZlfdngAE9OdsHcva3WoVSaYjTieWXZv4vz58+nQ4cOeHt74+3tTe/evVm+fHm1xuJ4yW3rEaC79DxaQtQKgys07ad1FEI4jN5R1TOSYm15OuIIq0xPEnxuldahVMiA45vwcvGs8eN8532Y6RPMZAx0rjEFDMHBuLYpe37PKiUMQmgoPT0dAF/fct5QbDmsBqNxfr941nx7Wh1OGFIZN/Aw+2/rAZeY29aRuffqic7j8nOsAzRq1IjXXnuNbdu2sW3bNgYMGMD111/P/v3VN5K14yW3bg0haoDWUYj6LvIqMFbTvBxC1AFXNPPH16PkfIWOpolbHv80+5p74l5El5ukdTgVZrLkMcgzslaOlaDPYnKPPayc0slpSuK8rrmmUttVOGEQQgOqqvLII49w5ZVX0q5dOaf6aXUd4LyPGdSkNHdf/sqo/bltK0tV4KXwHbw/vQlKhHONj+A1sHxt84gRIxg2bBgtWrSgRYsWvPLKK3h6erJp06Zqi8XxkluAdqO1jkDUdy2GaB2BEA7FRa9jZMdQrcO4rIeanGCt+wwanf1d61CqZERSXK0e71PffTw+2UBe7w61etzK8Bpc8UeXKpUwCKGB++67jz179rB48eLyb+QdIrM6XMKyqO4U2Aq0DqPC1rmdYvLYNJKvdYwBmsqk11eqbbZarXzzzTdkZ2fTu3fvagvHMZPbVsMLy0KF0IQiya0Qpbi5m2PeSQ42mVnb/FseSngWfXa81uFUWdfTOwhzD6rVY0Yb0hjf7wCb7uyG4ll2aZkW9P7+uHfrVuHtKpUwCFHL7r//fpYuXcratWtp1KiCbW2r4TUTlJNbqsvTOoRKS1fymNpld2FljY+288aWxaNnDwwXzKFblr179+Lp6YnJZOLee+/lp59+ok05HjcpL8dMbk1eMrCU0E7UAPAJ0zoKIRxO21Af2oQ41kl2auNT/OP9DJFnftY6lGqjoHKdizaDPc0N3sWLU3ywdGqtyfEvp8Go61F0FbtsqVLCIEQtUFWV++67jx9//JE1a9YQGVmJxxI6jIEamEbMmR0PbMH+jJNah1Fln/ru4+l73LB0drw2uYj3sIo9992yZUt27drFpk2bmDp1KhMmTODAgeqb490xk1uAdjdqHYGor7pP0joCIRyWo/Te+hkLWNn8J55MnIEh85zW4VS7EWcPanbs/cYEbh9ylP23dUcxOc40Iw1uuqnc61ZLwiBELZg+fTpfffUVixYtwsvLi7i4OOLi4sjNzS3/TnwaQSsZWOpCv4TV3LRqte2oIZlxQ45xeEwPMBi0DseOztOzwsmt0WikWbNmdOvWjVmzZtGxY0fefvvt6oup2vZU3VoMAaOX1lGI+sY7TEqShbiMUZ3CMOq1PXVMCD3HpgbP0/LMd5rGUZPCk07QwbupZscvHNhkJ3OnhaC21C6OIu49emCMiCj3+tWSMAhRC+bPn096ejr9+vUjJCSk+LVkyZKK7ajHPTUToBOyKnp+y6tbNz2tqDzXdAefTGuK0thxxr/wGTkSnXvVBmBVVZX8/PxqisiRk1sXN+h8u9ZRiPqmywTQSWmPEJfS0MPIgFbalMx6GSz82vx3Xkx9EpeMU5rEUJtGWrUfnXqj61nG3XCO6Bu17TFocPPNFVq/2hIGIWqYqqqlviZOnFixHUVeBYHV99yiM9vYtAeJeSlah1Ej/vA4wT23ZZLuINO4Nbx1bIXWf/rpp/n777+Jjo5m7969PPPMM6xbt47bb6++nM9xk1uAXtPkGQJRe3QG6DJe6yiEcHhalCbfHBzHdv+XaH/maxTVVuvH18KQ41twcYB5382KlSda/NdjEF77//Z6Hx+8rh1coW2qLWEQwpn0uFvrCBzCUp/yD27kjFJ1udzdYw9rJ3dB8dJuHl/3bt0wNa9Y+Xd8fDzjxo2jZcuWDBw4kM2bN7NixQoGDaq+sZYUVVXVattbTfjuTtj/o9ZRiPqg9QgY85XWUQjh8Kw2lV6zVpOYWX1lRJfiobfxZdSfdD7zJYpqrfHjOZqHuwzhz9TqG2ijqrxsJl7d14agZdugli4ffCdMIGjGU7VyLCGcmjkb5raGvHStI9FMpqsP/RsFkm+t+fOTI2hrDuS5PzzR7T1S68cOfeN1fIY73kjdjt1zC3DFA1pHIOqLbjKQlBDlodcpTOwTUePHGRGYyPagmXQ5vbBeJrYAIzKztA7BTqYun/s77OS7aW1Qgmq+PF1xccH3zok1fhwh6gSjB3S6Q+soNLUiqke9SWyhcADAO4ZHc+KmHqCvvWpXvb8/3tXY21qdHD+5De0MEX21jkLUdYFtoWk/raMQwmnceUUE/p4180yoSWdjUfN1vJP1GK4ph2rkGM6i7/HNNDT6AGDNtRL7dSyHHz3M/rv3c3zmcXJO5Fx2+7QNaRx77hj779nPoQcPcfaTs1iyLMXvZ+3L4siTRzgw9QBnPz6LzXK+5NuaY+XIk0cwJ5tL7Pc778NMn2Amo4af+/K54QZcgoNr9BhC1Ck9JoPi+Jf3NWWpwVL2SnWMRbHxVPMdfD6tOUpo7bSXfpMmoRi1HxeiNM7x299Hem9FDRvwLCiK1lEI4TTcjQam9mtW7fsd5J/CztD/0efMRyi2gmrfv7NxsRUwxL0JAOcWnCNrfxaN7mlEs5nN8GzrSfScaApSS/+eso9kc/bjszS8qiHNX2lO4+mNyT2Zy7nPCkcRVW0qZz48g29/X5o+25TcE7mkrkst3j7u2zh8+/ti9Cv9AiZBn8XkHntYOaUTSsMG1fvBAQwG/O6RZwiFqBDfptDMMXvUatop/6bsyjiudRia+d3zGNPvyCPr6s41ehx9gH+FB5KqTc6R3DYfBAGOO3mxcHKNusv8cEJUwh29mhDi41ot+3LRqSxo/i8f5T6Ke9LeatlnXTEy4TQ2s42MbRkE3xKMR0sPTEEmgm4IwuhvJGVN6aOC5h7PxcXfBb9BfhgDjHi08MC3ny+50YXT4VizrFgzrfgO8MU1zBWvzl7kxxSW82UfzSY3Ohe/wX5lxvep7z4en2wgr3eH6vvQgM/w4RgbOca8ykI4lase1zoCTSxtJLlCgj6Lu/rs5d87u6J4eNTIMfwnT0bnWj3n/prgHMmtosBVj2kdhairBj6vdQRCOCWTQc/9Ayo2UmJprvJNY2fY6/Q/Mw+lHj0rVV7tzu0l3DUEbKAY7StMFKNC9pHsUrdzb+aOJdVC5u5MVFXFkm4hfVs6Xh0K55DXe+kxNDCQtT8Lm9lG9pFsXBu7YrPYiPk8hrAJYSi68lW0RBvSGN/vAJvu7IbiWQ0XVDodflOmVH0/QtRHjbtDu5u0jqJWqSj8Zo7XOgyH8Xbwbl65tyFq6+qtsDIEBNBgrOP22oKzJLcA7W+Cxj21jkLUNU37F84NJ4SolFu6NSLcr3ITuCuKygfNNvO5+VE8E3dWc2R1yw2e/rg1cyPhlwQKUgtQbSppG9LIPZGLJb30Z8zcm7vTaEojzsw/w/7Jhc/c6t31hN4RCoCiKDSe1pjEpYkcffoobk3caNi3IUm/J+HZxhPFqHBi5gmOPHWE5D+TyxXn3OBdvDjFB0unqvWgeF83HFPTyCrtQ4h6bdBLYHDTOopaszWiGzG5CVqH4VB2GeMYd/0ZzozqAbrqSfn87r4bnclULfuqKY4/FdCFzu2AjwcAzhOycHB3r4Uwx5gIWwhn9eOOszzy7e4KbdOjQQaf+CzAO35zDUVVt8Q1aMTVBRbOfnqWnMM5oAO3cDeMwUbyTuXR/NWSPeh55/KInhON32A/vNp7UZBWQNySONwi3Wg0qfRy3/y4fE69eYqol6I4Oetk8bZHnzlK5BORuDYuXymaosLzp7vQ7ofdqPkV643XubvTdPlyXGphNGYh6rQ1M+GvOVpHUSue6TKMpan7tA7DYY3ObMGt3yWixidWeh+GkBCiVix3+OTWeXpuoTAJ6XSb1lGIuqL1CElshagGozqF0Tyw/BPJvxW1gyW2RyWxrYDgtLNc2bwdTWc0pc2HbWg5tyVRL0ShWlVc/F1K3Sbxt0Tcm7kTMCwA18aueLX3InR8KGl/p1GQVnIQKlVVObfgHMFjg0GFvFN5+HTzweBtwKOlB9mHSi9/Lo2qwEvhO3h9ejBqy6YV+qx+U6ZIYitEdbjyYfAK0TqKGpdj8mRVZv0dSKo8fvQ6wgMTLORe0bHS+wh66imHT2zB2ZJbgIEvgNFL6yiEs9O5wIDntI5CiDpBp1N4dHCLMtfr4J3Fjoj3GXXudRRz+RMlUWhEfmHVks6kw6WBC9ZsK1l7s/Du4l3q+qpZLXGWL36GtpQCqNS/UjF4GvDu7A3/zQikWtXi/6q2ildNbTadY9wN54i+sQcYDGWu79KkicxrK0R1MXrUi3FFVjXtSa4lV+swHF6sPpMJV+1n64RuKG4VGxDK48or8b52cA1FVr3KPtM4Gq8g6PsIrH5J60iEM7vqMQhoqXUUQtQZQ9qFcFWLAP46UnrJ02tN9zImeR5KXEatxTTr73x+PFTAoSQbbgaFPo31/O8aEy39z090/+PBAj7cbmZ7jI3kXJWdUzzoFKy/zF5hf4KV59flsz3Gyql0lTevNfFQL/u72V/vKeCp1Xlkm1UmdTYyZ/D5C4noNBuDv8xh2z0eeJvKPwWZsmI95gA/CFQwx5uJWxKHKcREwysbAhD3XRyWVAuN7iksOfbq5MW5hedIXpOMVzsvCtILiFsUh1tTN1wa2vf2WjIsJC5NpOmzhb2seg89plATyX8k49nOk+yD2QSMCCh3rBcyK1aeaLGDwdOacvcvOainzl5y3aAnn0DnoHMnCuGUOt4Kmz+E2F1aR1JjlpoUyCt7vcTfEsnYnkF+bD6Ki4J7M3eCbwnGFHK+/VZVlYSfE0hdn4o124pbUzdCx4fiGnb5ZDBpZRIpa1MoSC5A76XHp5sPQTcFoTMW3mFM25BG3PdxqPkqDfs2LKyQ+Y850Uz069FEvRiF3u3y55/qMCd0F92nhvL4b3o4crLM9RWjkeDnnq3xuKqL8/XcAvSeDg0jtI5COKugdtD3Ua2jEKLOefWGdngY7U/MrTxz2Nr0E8bGzELJr73EFmD9KQvTuxvZNMmDVePcsdhg8Fc5ZJvP90Bmm1WuaGzgtWvKX2qVUwBNG+h47RpXgj1LJqdJOTYm/5rL64NcWXmHB5/vLuD3I+fLgKf+nstr15gqlNgC5GflkvBlDEdnHOXsx2dxb+FOxGMRKIbC/VjSLJiTzcXrN+zbkJCxIaT8mcLRZ49yZt4ZjMFGmtzfpMS+Y7+OxX+ov13SGzY5jPTN6Zx68xT+Q/1xb1q5gcOK/OFxgrvGphI/vHup84p79OmD18CBVTqGEOIiigJDXtM6ihoT07AJW9OPlmvd7EPZ+A7wpelzTYl4PAJsEP16NLZ8W/E6ScuSSF6ZTMgdIUS9EIWLjwvRc6Kx5lovud+0DWnEfxdP4PWBNH+1OWF3hZG+JZ347wtHb7ZkWji34BwhY0IIfzSc1H9TydyVef4zfBFD0M1BtZLYFtlqimH86FhiR5TeHl/Ib/IkjOHhtRRZ1Tlfzy2AwQRD58Cim7WOpMbM+jufp9fk82BPI28NKbxbFJ9l48k/8/njuIW0PJWrwvW8O9SV5n7l+2P4Zl8Bt/6Qy/UtDfw89vxFSk30MDgsnQGunwf60p9RE0JUXqOG7jx+bUte/PUAAC9EHmRC6nvoYlI1iWfFHfZT0iy43pXA17PYHmvlqvDC09+4joW9hNFpthLbX0r3MD3dwwrb3af+LNldcCJVxcekMKZdYTvTP1LPgUQbw1vAor0FGPUKo1tXvA26pa0Lja7ryRRiS32/0d0lB4nyG+SH36Cy56ptPLVxiWXuTd1pPqvqUz1dKFOXz/0ddnJzRBtu+T4RNb5wdFPF3Z3gl6UiS4gaEd4b2t0I+37QOpJqt7RJO9SM8g0kFfFYhN3PYZPCOPTAIXKjc/Fo6YGqqiT/kUzAiAB8uvkUrnN34Trpm9Lx7e9b6n5zjufg3tydBr0bAGAMMOLT04fck4Wl0uZEM3o3PT49C/fp0dqDvJg8vDp5kbYxDcWgFB+vNuUpFh5st5Oxjdty07cx2JJKzpnu0qgRfvfcU+uxVYVz9twCtBgM3SdrHUWN2HrOykc7zHQIOv/Po6oqo5bkciLVxi9j3dk5xYNwHx3XfGnfC3Epp9JsPPZHHn2b2CfCNdXD4LD63A+hnbSOQog6a0KfCG5o6cqGqC+4M/b/0OVpk9iWJv2/QXt93Wq2PWvuqyOnQGVnrJWUXJWt56x0CNKTkqvy/No83htasWedLtQreiuBrmUnq47uO+/DTJ9gJmNg4aB+gY8+grFR6SM4CyGqwfA3wKfkTSxn96ulfNOUlaaoN1bvUXhtXJBYgCXdgme78wMk6lx0eLTyIOdYziX3497cndzoXHJOFK5jTjCTtSereE5xU5AJm9lG7qlcLFkWck/m4trYFUuWhYSfEgi5Q9tBv77xOcQjd+nI79Xe/g1FIfjFF9G5Vv6cpQXnTW4BBs+EgFZaR1Gtsswqt/+Yy8cj3Gjoev4C7GiKjU1nrcwf7kr3MD0t/fW8P9yVLDMs3ldy1MsLWW2F+3ypn4mmDe3/yS/sYegepi/uYYCq9TA4JP8W0G+G1lEIUacpisKbIyMITfhb61DsqKrKIyvzuLKJnnaBNVv61dBN4fNRboz/OZceH2cxvqML1zYz8Ngfedzfw8jJNBudP8yi3ftZfH/g8u33xXSqjeGuoTUUee1K0Gcxuccedj93Iw1vk5kQhKhRbg3hxk9Aqb3S15q2s3FnTueUXslSFlVViVsch3sLd1wbFSZvRXOGG7ztC1sN3oZLzicO0KBXA4JGB3HylZPsm7SPI08cwaO1BwHXFY5ToPfQ0+juRpz9+CwnXj5Bgz4N8GrvRdySOHyv8aUgqYBjzx/j6DNHSd+aXqnPU1Wn9WmM63+QXXd0R/lvROSGt9+O55VXaBJPVTh3cuviBjd+CnrHH5a6vKYvy2N4cwPXNLX/w8r/72/K1XA+4dXrFIx6+Of0pZ8DAHh5fT4BHgqTupQcpKMmexgciqIrLEc21J3fFSEcll8UXDtT6yjs3Lcsjz3xVhbf6FYrx7uhtQt7p3py7AEvXuznyrpoC3sTrNzd1cjY73N561pXfrjFjUlLc0nILn9JNMDImGM1FHXt8zZ602/UfShlPPMlhKgGTXrVqZv8vwRU/kZf7Jex5J3Jo/G9pfRmX9wclVEgmXUwi8RfEwkZH0KzF5vR5P4mZO7KJOGXhOJ1vLt603xmc1rMbkHQDUFkHcwi/2w+vlf7cmb+GUJuC6HJfU0499k5LBmXTqRr2quNd/LWtFCUAVcQ+Jhzjk/j3MktQHA7uOZFraOoFt/sK2BHrJVZpQxs0spfR7iPwozVeaTmqpitKq/9k09clkps1qUvjP49beHTnQV8PKL0JLUmexgcSp8HoHEPraMQov7odhe0GKJ1FADcvyyXpUcsrJ3gQSPv2j/t5VtUpv2ex4fXuXEsxYbFBldHGGjpr6eFn47NZy9/g/JizeIP09rLeQb3uJznej9HsEdw2SsKIapH30ch8iqto6iyfIMrf2SVPdJvaWK+jCFjVwaRT0Xi4nu+OtHgU9ixdHEvrSXTUvxeaRJ+SqBBnwb4Xu2La2NXvLt6E3RTEIm/J5Y6hZqtwEbsl7GETgjFnGBGtap4tPLAFGLCFGwi5/ilS6BrwzaPBJSZjztdOXIR509uAXpNhSjnHmHxTLqNB1fk8dUNbna9s0Vc9Ao/3OLOkWQbvrMzcX8lk3XRFoY2M6C/xB3vzHyVO37K5eMRrvi7X/qfuiZ7GBxC1IB6Mc+bEA5n1HxooF0Spqoq9y3L5cdDFtaMdyeyoTanvP/7K5+hzQx0CdFjtYHlgoudAitYKz59LNepHmWv5OBuanETQyIc4waIEPWGTgejPwZ3f60jqZLVzXqRWZBVoW1UVS1MbLdnEPlEJMYA+4pGlwAXDD4Gsvaf36/NYiP7UDbuzS49Wrwt31Yyo9JxyR7fxKWJeLb3xC3CrTD5veDSWrXY/6yFx7s9Tktf550u0zlHS76YohReRM3vAzlJWkdTKdtjrSRkq3T9KLt4mVWFv05ZeW+LmfxnvegaqmfXvZ6k5xX23AZ46Oj5SRbdQkp/fuJ4qo3oNJURi3OBwhHbiq6pDC9ncPg+T6J87f8ai3oYvhpt38MAFPcwjGjpRPdEGkbCTZ+Bru48YyKE03D3hbGL4NPBUJBd9vrVbPqyPBbtLeCXse54mRTi/qty8TEpuLkU3hRMyVU5nW4jJrPwvcNJhf8N9lQI9ixs68b/lEuYl8KsawrvYputavHYBGYrnMtQ2RVnxdOo0OyiNnV/gpUl+y3smlKYjLby16FTFD7dYSbYU+FQko3uoRVvn4ad3MGbgZ5YVO3K16qic2Bnnu75tNZhCFE/eQXDDR/A1zdTZs2tg1rqZoT8im0T+2UsaRvTCH8wHJ2rjoK0wopEvbsenVGHoij4DfYj8ddETEEmjEFGEn9LRGfS4dPr/GjGZz86i6GhgeCbC6tOvDp5kbwyGdcmrrhHuWOON5PwYwJenb1QdPYdUHnn8kjfkk6zl5sBFM6xq0DK+hRcfFzIj83HrWntPD5TmsHhgxnTaoxmx68OdSO5BfAKgpsXwlejwWouc3VHMzDSwN6p9nfi7/wll1b+ep68woj+gj8OH1cFUDiabGVbjI3/61962UArf12JfT67Jp9Ms8rbQ1xp7FOyx/fCHoadsdZq6WHQjItH4YW1W0OtIxGi/gpuB6PmwXcTa/3Q87cVXrj0+9y+xGvB9a5M7FR4x37p4QLu/OX8dD5jfyi8EfjC1UZe7FfYtp5Ot6FTzietMZkqnT88n6y/vtHM6xvNXB2uZ93E822uqqrc81seb15rwsNY2N66uSgsHOXK9GV55FvgvWGuhFWiVNo/K4HezTvxd9qhCm+rtSD3IOb2m4uLro4MViiEM2o+CPrcBxve1TqSCkvwCWFj+pEKb5eypnCqm5Ov2Zczh00Ko2HfwmtF/2H+2Mw2Yr6IwZptxS3KjYjHIuzmoDUnm+2eyw0cGYiiKCT8mEBBagEGLwNenbwIujHI7jiqqhKzIIbgW4PRmQrbfZ1RR9jkMGK/jEUtUAkZF2I333htau3bmplXOtZ4GZWhqKrqTOlK2fZ8Cz/eg7PeibpQv4XZdArWF89z+93+AgI8FJr46Ngbb+XBFXl0DdXzwy3nSyUu7mG42MSfc0nLU+3muS2yP8HKqCW57JrigYdRIbdApfGbWfzvGhPBngo3fpvL8Qc8K3UhpolbvoA212sdhRAC4M+X4J+5WkdRp6xoeTWPmyv3zJlWTHoTnw/5nLb+bbUORQhhLYCFw+HMZq0jqZDPOgzlzcz9WodRpwS6B7J4+GIC3QO1DqXK6k7PbZEOt0DaKVjj/HceLhabZeORP8zEZ6mEeCmM7+DCc1fbDz51cQ9DedVkD4Mm+j4qia0QjmTAcxC/D47+oXUkdUb/45vxatq0ws+daen53s9LYiuEo9C7wNjF8NlgSHaeUdiXqtpMl1NXuRncmDdwXp1IbKEu9twWWXo/7PhC6yiEFppfC7d+UzhoghDCceSlw2dDIUHuuFeXF7sM54fUvVqHUS53t7+bB7o8oHUYQoiLpZ6CTwdBVrzWkZRpf1h7xholua0uOkXH2/3fpl/jflqHUm3q7tX/8Deh2TVaRyFqW+Nehc9eS2IrhONx9YHxP4NvlNaR1BkjkmK1DqFcxrYcK4mtEI6qYTjc/j2YvLWOpEw/BzbROoQ65dGuj9apxBbqcnKrNxQmOUHttY5E1JaQjnD7t2C89HDtQgiNeQbChKXgIxco1aHL6Z00cnfseWJHRo2UkZGFcHQhHWDs12DQbqTeshTojSzPOaV1GHXGPR3uYXzb8VqHUe3qbnILYPKCO74Hv+ZaRyJqWkAruOOnwp4hIYRj82kEE34BT8dOypyBgsp1LgFah3FJ1zS5hpf7vIxyifnYhRAOJPIqGPsV6E1lr6uB9VE9STdnaB1GnXBPh3u4v/P9WodRI+p2cguFc3lN/L0w+RF1U0BrmPAbePhpHYkQorx8m8L4X8Bd/m6rasTZA1qHUKo+oX2YfdVs9DLPuBDOo9k1/z3e5XhTdf3i4VH2SqJMUzpMqbOJLdSH5BYK58Cd+DsEtdM6ElHdAtvCxN/A03F7LoQQlxDYCsb9BO7+Wkfi1JoknaSjt2M9x9yvcT/e7v82LnrHu0AWQpSh1TC48RPQOc6kKike/vyTUfG5bYW9KR2mcF/n+7QOo0bVj+QWwMMfJvwKjbprHYmoLsHtC/9NPeTCWAinFdIRJv0BDSO1jsSpjbQ4zkXo6OajeavfW7gaSp9vXQjhBNqOKhxkykEe9/q9aTcsNovWYTi1+pDYQn1KbgHcfWH8UhlFuS5oMRTuXCGlyELUBX5RMGkVhHbROhKnde2JrRh1Rq3DYHL7ybzU5yUpRRaiLojqX9g2N4zQOhKWKtlah+C0DIqBZ3s+Wy8SW6hvyS0UjqR76zfQYYzWkYjK6nM/jF0EJk+tIxFCVBfPgMJHDJoP1joSp+STm8bVPs00O76CwlM9nuLBLg9qFoMQogYEtITJawqnWtTI4eDWHMqUUZIrw8vFi3kD5zGmVf3Je+pfcgugd4EbPoSBL4Aid5edhs4FRr4Hg2fKPLZC1EVGDxi7GDqP0zoSpzQiI1OT47oZ3Jh99Wxub327JscXQtQwD7/CKdza36LJ4ZeGONaYAs4izDOML4d9SZ+wPlqHUqsUVVVVrYPQ1Mm/4Pu7IDtR60jE5bj5wpivIOIKrSMRQtSGjfNg1QtgK9A6EqdRoHPhmhatSclPq7VjhnmG8Xb/t2np27LWjimE0NC612DdrFo7nEVn4JoWbUnOT621Y9YFnQI68faAt/F19dU6lFon3V+RV8GUvzUttxBl8G8Jd6+RxFaI+qT3dLhzOfg01joSp+FiK2CIW+19X1eEXsGS65ZIYitEfdLvKRj9Sa3NhftvZA9JbCvoxuY38um1n9bLxBYkuS3kHVI4VVCvaVpHIi7WeRzcvRp8ZSRVIeqdxt3h3r8LB5AT5TIyvuafS9Mreu7vfD/zr5mPj8kxRlIVQtSiDjfDXSsKOx9q2C8+0saUl4/Jhzf7vcmLfV7EqNd+gEGtSHJbRG+AIbMKJ642ykBFmvMMgluXwPXvgclL62iEEFpxawi3ffPfs/YyZ2pZ2sbsI8qzUY3tP8wzjI8Hf8w9He5BUZRLrjd//nw6dOiAt7c33t7e9O7dm+XLl9dYXEKIWhbWpfDm4xUP1dj4NeluDViffrRG9l3X9AjuwfcjvueacJkRRp65LU1qNPz2CBxfrXUk9VObUXDdm4VTNwkhRJGz2+GX6ZB4UOtIHNonHYbydub+at2ngsKYlmN4uOvDuLu4l7n+r7/+il6vp1mzwhGcP//8c+bMmcPOnTtp27ZttcYmhNDY2e3w81RIOlytu13SbjAzsw9V6z7rGoPOwPRO07mr3V3oFOmzBEluL2/v97BiBmQnaB1J/eDaAIa/Ae1v0joSIYSjshbAv2/DX3PAkqd1NA4prkEY1/q6YFNt1bK/xl6NeanPS3QP7l6l/fj6+jJnzhwmTZpULXEJIRyIJR/WvgIb3gPVWi27vL1jP/ZknKiWfdVFrX1b83zv52nn307rUByKJLdlyU0tHLFzxxeAfFU1psUQuO6twuefhRCiLMnH4beH4eR6rSNxSJM7XcPm9CNV2odO0XFbq9t4oMsDuBncKr0fq9XKd999x4QJE9i5cydt2rSpUlxCCAd2dhv8PK3KvbgnAptxvYe5moKqW7yMXtzf+X7GtBwjvbWlkOS2vE5thF8frPaSi3ovuD0M+j+I6q91JEIIZ7T7G1j5NOQkax2JQ/ml9UCezav8s2o9gnvwaLdHaeNX+UR079699O7dm7y8PDw9PVm0aBHDhg2r9P6EEE6iIA/WvwYb3wdrfqV28Vbn4XyatreaA3NuCgojo0bySLdH6u1IyOUhyW1FWMyw6f3CkrjcFK2jcW7ejWDAs9BhDOjkrpMQogpyUwvb5c0fQkGO1tE4hByTJ/2ahJFrya3Qdk19mvJI10e4uvHVVY7BbDZz+vRp0tLS+OGHH/jkk09Yv3699NwKUV9kxMBfr8POL8Fa/l5Ym6JjUKtOJOQl1WBwzqWVbyue6fkMnQI7aR2Kw5PktjLys2DLh4XPFUiSWzEmb7jy4cJpl1xctY5GCFGXZCXA33Nh22eV7i2oS2Z0GcZvqfvKta6fqx/TOk3jxuY3otfVzMin11xzDVFRUXz44Yc1sn8hhINKOw3rZ8PuxWCzlLn6hsieTCG2FgJzfM0bNufeDvcyKHzQZUeoF+dJclsVkuSWn4sHdBkHVz0BHn5aRyOEqMvSzxZeSO36ulwXUnXVhsgeTCHususEugdyR+s7GNNyTLlGQa6KgQMH0rhxYxYuXFijxxFCOKiUE4Vt855vLzvo1FNdhvF7OW/M1VWtfFtxb4d7GdBkgCS1FSTJbXXIzywsh9s4T5LcizVoAt3vhi7jwa2B1tEIIeqT5OOwaX7hc7nmTK2jqXWXK+1r1qAZE9tOZFjTYbjUwPzBTz/9NEOHDqVx48ZkZmbyzTff8Nprr7FixQoGDRpU7ccTQjiRpKOwbhbs/wkuGtU92+RF/8Yh5Frr52j4rX1bc2/He+nfuL8ktZUkyW11MmcX/qHu+BLObNI6Gm1F9IWe90LLYfJMrRBCW/mZhQnu1k8gsX7NmTi383AWXDAoS4/gHkxsO5G+jfrW6HEnTZrE6tWriY2NxcfHhw4dOvDkk09KYiuEOC/pKGxfCLsWFXcO/dhmIC/kVn4wPGfkqndlcMRgbmpxE50DO2sdjtOT5LamJB4pfIB+9zf1Z55cF3dod2NhUhssc24JIRzQyb9h68dw6Pd6UbJ8LKgld/t5MCJqBDc0u4FIn0itQxJCCHsWMxz6FbZ/zkQfA9vT60dy27xhc25sfiMjokbgbfTWOpw6Q5Lbmma1wNGVhb25x1bVvYspkze0uBZaj4Rm14CxZp/ZEkKIapGVAAd+Kay2Ob2xRGmc0zN6Qavh0P4mrFEDamyQKCGEqE4xWTEsO7mM30/8zrG0Y1qHU+18XX0Z0GQAo5qNomNAR63DqZMkua1NOSlwYh0cWw3HV0Omk44E5+5XWG7ceiQ07QcGo9YRCSFE5WXEwuFlha+Tf1VoygqH0iAcogZAs4GFNxtd3LSOSAghKu142nH+Pvs3/8T8w874nZhtztk2h3uHc1WjqxjYZCCdAzujU+RxvZokya2W4vefT3RPbXTcqStM3hDaGRp1K0xmw68A6QUQQtRF+ZmFpctnNsHpTRCzy3HbZqMXRPYtTGijBoBflNYRCSFEjcgpyGFr3Fb+OfcP/8b8y5nMM1qHdEkBbgF0COhA9+Du9A3rSxPvJlqHVK9IcusozDlwdiskHChMeuP3Fw58UpBTu3EoOvBvWZjINupe+ApoJYNCCSHqJ0s+nNvxX7K7GWJ3/1d1U8unTqMnBLWF4PYXvDqAvvpHOhZCCEeXmJPIwZSDHEg+wMHkgxxMOUhsdu1XRJr0Jtr4taG9f3s6BHSgg38HQjxDaj0OcZ4kt47MZoPUk4WJbsKBwlHlcpIgJ7mwxDknGSyVGCrd3Q98GoFP4/9ejc7/7N8cXOWhdiFE3fDXX38xZ84ctm/fTmxsLD/99BOjRo2q2k7N2YXzNSYf++/13/9nxkJeemHvb0WTX50BPALBKxi8Qwv/6xUMfs0Kk1jfpiDTQgghxCWl5aVxMOUgZzLPEJcdR3xOPPHZ8cTlxBGfHU9eJaYX0ik6PF08CfMMo5FXIxp5Nir8r1cjGns2JsQzBIPOUAOfRlSWJLfOzpz9X7KbDLlphYOiKAqgFP5Xbyp87srFDQyu4Bkoz2EJIeqN5cuX8++//9KlSxduvPHG6kluy2KzQX56YaJb9LJZQOdS2NOqcwG9ofC/OgO4+oBHgFTICCFEDUrPTyenIAezzUy+NR+z9fx/C2wFuBnc8HDxKH65G9xxM7jV6Hyz77//PnPmzCE2Npa2bdvy1ltv0bdvzU7VVtdJciuEEKJeUBSldpJbIYQQogxLlixh3LhxvP/++1xxxRV8+OGHfPLJJxw4cIAmTeQ53cqS28RCCCGEEEIIUYvmzp3LpEmTmDx5Mq1bt+att96icePGzJ8/X+vQnJokt0IIIYQQQghRS8xmM9u3b2fw4MF2ywcPHsyGDRs0iqpukOS2Hnn//feJjIzE1dWVrl278vfff2sdkhBCCCGEEPVKUlISVquVoKAgu+VBQUHExcVpFFXdIMltPbFkyRIeeughnnnmGXbu3Enfvn0ZOnQop0+f1jo0IYQQQggh6p2LB6tSVbVGB7CqDyS5rSekrl8IIYQQQgjt+fv7o9frS/TSJiQklOjNFRUjyW09IHX9Qoj6Kisri127drFr1y4ATp48ya5du6RqRQghhGaMRiNdu3Zl1apVdstXrVpFnz59NIqqbpBZh+sBqesXQtRX27Zto3///sU/P/LIIwBMmDCBhQsXahSVEEKI+u6RRx5h3LhxdOvWjd69e/PRRx9x+vRp7r33Xq1Dc2qS3NYjUtcvhKhv+vXrh0znLoQQwtGMGTOG5ORkXn75ZWJjY2nXrh3Lli0jPDxc69CcmiS39YDU9QshhBBCCOFYpk2bxrRp07QOo06RZ27rAanrF0IIIYQQQtR10nNbT0hdvxBCCCGEEKIuk+S2npC6fiGEEEIIIURdpqgy0oYQQgghhBBCCCcnz9wKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktwKIYQQQgghhHB6ktxWs82bN3PDDTfQpEkTTCYTQUFB9O7dm0cffbTWY3nxxRdRFIWkpKTLrjdx4kQiIiJqJyghRK1YuHAhiqKU+nrsscdqLY6IiAgmTpxY/HN0dDSKorBw4cIK76usNq1du3b069fPbpmiKLz44osVOs6yZcsqvE1NSkpKwmQyoSgK27ZtK3WdyrTjRf8Wr7/+ejVEWWjdunUoisK6deuqbZ9C1Ed79uzhzjvvJDIyEldXVzw9PenSpQuzZ88mJSWlxo9/cdtZdE6Jjo6u8WM7osqcS8pS1AYXvVxcXPDz86N79+48/PDD7N+/v8Q20saWzaB1AHXJ77//zsiRI+nXrx+zZ88mJCSE2NhYtm3bxjfffMMbb7yhdYileu6553jwwQe1DkMIUQMWLFhAq1at7JaFhobW2vF/+uknvL29a+14F9u4cSONGjWq0DbLli1j3rx5DpPgfvnll5jNZgA+/fRTunXrpnFEl9alSxc2btxImzZttA5FCKf18ccfM23aNFq2bMnjjz9OmzZtKCgoYNu2bXzwwQds3LiRn376qVZjGj58OBs3biQkJKRWj1sf3H///dx2223YbDbS0tLYuXMnn332Ge+++y6zZs3i8ccfL15X2tiySXJbjWbPnk1kZCQrV67EYDj/1Y4dO5bZs2drGNnlRUVFaR2CEKKGtGvXTtNkqHPnzpodG6BXr16aHv9Cubm5uLm5VXi7zz77jMDAQMLDw1m8eDFz586t1H5qg7e3t0N951arFYvFgslk0joUIcpl48aNTJ06lUGDBvHzzz/b/e4OGjSIRx99lBUrVlT5ODk5Obi7u5d7/YCAAAICAqp8XHG+XSrSpEkTu3Zz2LBhPPLII4wePZonnniCdu3aMXToUMDx2lhHJGXJ1Sg5ORl/f3+7xLaITnf+q46IiOC6667jt99+o3Pnzri5udG6dWt+++03oLD0o3Xr1nh4eNCjR49Sy9CWLl1K7969cXd3x8vLi0GDBrFx48YyYzx06BBNmzalZ8+eJCQkAKWXsymKwn333ceXX35J69atcXd3p2PHjsUxXuiXX36hQ4cOmEwmmjZtyttvv11cPiiEcDzHjh3jzjvvpHnz5ri7uxMWFsaIESPYu3ev3XpF5U+LFi3iySefJCQkBE9PT0aMGEF8fDyZmZncc889+Pv74+/vz5133klWVpbdPi4uS77Y33//jaIoLF68uMR7X3zxBYqisHXr1kp/1otLyXJycnjssceKS/18fX3p1q1b8fEnTpzIvHnzirctehWV4uXl5TFjxgwiIyMxGo2EhYUxffp00tLSSnzu6667jh9//JHOnTvj6urKSy+9xMCBA2nVqhWqqtqtr6oqzZo1Y/jw4XbLN2/ezL59+xg3bhx333036enp/PDDD2V+7qI2uLRXaf8ec+fOJTIyEk9PT3r37s2mTZtKrLNt2zZGjhyJr68vrq6udO7cmW+//dZundJK5iZOnIinpyeHDh3i2muvxcPDg5CQEF577TUANm3axJVXXomHhwctWrTg888/L3HsuLg4pkyZQqNGjTAajURGRvLSSy/ZXSAWlfjNnj2bmTNnEhkZiclkYu3atdhsNmbOnEnLli1xc3OjQYMGdOjQgbfffrvM71KI2vTqq6+iKAofffRRqTdljEYjI0eOBGDJkiUMHjyYkJCQ4mvJp556iuzsbLttiv4G9+7dy+DBg/Hy8mLgwIEAZGRkcPfdd+Pn54enpydDhgzhyJEjJY57qbLkzz77jI4dOxa3pzfccAMHDx4sfv+tt95CURSOHTtWYp9PPvkkRqOx+FGTVatWcf3119OoUSNcXV1p1qwZU6ZMKfEoSmJiIvfccw+NGzfGZDIREBDAFVdcwZ9//mm33ooVKxg4cCA+Pj64u7vTunVrZs2aVfx+v379SjzKUvR9lfWYR2JiItOmTaNNmzZ4enoSGBjIgAED+Pvvv+3Wu1y7dDlubm58+umnuLi4MGfOnOLlpbWxJ06cYOzYsYSGhhY/Ejlw4EB27dplt88lS5bQu3dvPDw88PT05Nprr2Xnzp1262zbto2xY8cSERGBm5sbERER3HrrrZw6dcpuvbLOpRfur6zzRnWTnttq1Lt3bz755BMeeOABbr/9drp06YKLi0up6+7evZsZM2bwzDPP4OPjw0svvcTo0aOZMWMGq1evLm7cnnzySa677jpOnjxZfKd+0aJF3H777QwePJjFixeTn5/P7Nmz6devH6tXr+bKK68s9Zjr16/nhhtu4KqrrmLRokVl3rH7/fff2bp1Ky+//DKenp7Mnj2bG264gcOHD9O0aVOgsOEYPXo0V111FUuWLMFisfD6668THx9fhW9SCFFdLr5DDBATE4Ofnx+vvfYaAQEBpKSk8Pnnn9OzZ0927txJy5Yt7dZ/+umn6d+/PwsXLiQ6OprHHnuMW2+9FYPBQMeOHVm8eDE7d+7k6aefxsvLi3feeafc8fXt25fOnTszb948br31Vrv33nvvPbp370737t3L/Ezl9cgjj/Dll18yc+ZMOnfuTHZ2Nvv27SM5ORkofEwjOzub77//3u6GYUhICKqqMmrUKFavXs2MGTPo27cve/bs4YUXXmDjxo1s3LjR7mJ0x44dHDx4kGeffZbIyEg8PDzo06cP119/PatXr+aaa64pXnf58uUcP368xHf36aefAnDXXXfRuHFjHnroIT799FPuuOOOy37OyZMnM2TIELtlP/74I3PmzKFt27Z2y+fNm0erVq146623ir+DYcOGcfLkSXx8fABYu3YtQ4YMoWfPnnzwwQf4+PjwzTffMGbMGHJyci57AwOgoKCA0aNHc++99/L444+zaNEiZsyYQUZGBj/88ANPPvkkjRo14t1332XixIm0a9eOrl27AoWJbY8ePdDpdDz//PNERUWxceNGZs6cSXR0NAsWLLA71jvvvEOLFi14/fXX8fb2pnnz5syePZsXX3yRZ599lquuuoqCggIOHTpU4qaEEFqyWq2sWbOGrl270rhx4zLXP3r0KMOGDeOhhx7Cw8ODQ4cO8b///Y8tW7awZs0au3XNZjMjR45kypQpPPXUU1gsluI2bcOGDTz//PN0796df//9t7iXsCyzZs3i6aef5tZbb2XWrFkkJyfz4osv0rt3b7Zu3Urz5s254447ePLJJ1m4cCEzZ860+6xfffUVI0aMwN/fH4Djx4/Tu3dvJk+ejI+PD9HR0cydO5crr7ySvXv3Fl9Tjxs3jh07dvDKK6/QokUL0tLS2LFjR3E7DoVt5913383VV1/NBx98QGBgIEeOHGHfvn3l+mxlKXru+YUXXiA4OJisrCx++umn4mvxi5Pm0tqlsoSGhtK1a1c2bNiAxWIptfMMCnt6rVYrs2fPpkmTJiQlJbFhwwa79u3VV1/l2Wef5c477+TZZ5/FbDYzZ84c+vbty5YtW4rLnKOjo2nZsiVjx47F19eX2NhY5s+fT/fu3Tlw4EDxv1VZ51Ko+nmj0lRRbZKSktQrr7xSBVRAdXFxUfv06aPOmjVLzczMLF4vPDxcdXNzU8+ePVu8bNeuXSqghoSEqNnZ2cXLf/75ZxVQly5dqqqqqlqtVjU0NFRt3769arVai9fLzMxUAwMD1T59+hQve+GFF1RATUxMVL/88kvVaDSqDzzwgN12qqqqEyZMUMPDw+2WAWpQUJCakZFRvCwuLk7V6XTqrFmzipd1795dbdy4sZqfn28Xi5+fnyq/XkJoZ8GCBcVt0cWvgoICu3UtFotqNpvV5s2bqw8//HDx8rVr16qAOmLECLv1H3roIRVQH3jgAbvlo0aNUn19fe2WhYeHqxMmTCj++eTJkyqgLliwoESsO3fuLF62ZcsWFVA///zz4mVFbdrlXldffbXd8QH1hRdeKP65Xbt26qhRoy731anTp08vtf1asWKFCqizZ8+2W75kyRIVUD/66CO7z63X69XDhw/brWu1WtWmTZuq119/vd3yoUOHqlFRUarNZitelp2drXp7e6u9evUqXjZhwgRVURT12LFjdtuX1o5f6O+//1ZdXV3V22+/vfgYRf8W7du3Vy0WS/G6Rd/94sWLi5e1atVK7dy5c4nfneuuu04NCQkpPq8U/c6sXbvWLjZA/eGHH4qXFRQUqAEBASqg7tixo3h5cnKyqtfr1UceeaR42ZQpU1RPT0/11KlTdsd+/fXXVUDdv3+/3eeJiopSzWZziTg7dep0ye9HCEcQFxenAurYsWMrvK3NZlMLCgrU9evXq4C6e/fu4veK/gY/++wzu22WL1+uAurbb79tt/yVV14p0XYWtdMnT55UVVVVU1NTVTc3N3XYsGF2254+fVo1mUzqbbfdVrxs9OjRaqNGjeyuP5ctW6YC6q+//nrZz3Pq1CkVUH/55Zfi9zw9PdWHHnrokt9FZmam6u3trV555ZV2berFrr766hLnDFW99HXxhd/HxSwWi1pQUKAOHDhQveGGG4qXX65dKnpvzpw5l9zvmDFjVECNj49XVbVkG5uUlKQC6ltvvXXJfZw+fVo1GAzq/fffb7c8MzNTDQ4OVm+55ZbLfq6srCzVw8PD7vekPOfS8p43qpuUJVcjPz8//v77b7Zu3cprr73G9ddfz5EjR5gxYwbt27e3K6vo1KkTYWFhxT+3bt0aKCyRuLBHtWh5UTnA4cOHiYmJYdy4cXalzp6entx4441s2rSJnJwcu7heeeUVJk6cyGuvvcbbb79tt93l9O/fHy8vr+Kfg4KCCAwMLI4lOzubbdu2MWrUKIxGo10sI0aMKNcxhBA164svvmDr1q12Lyi8i9umTRuMRiMGgwGj0cjRo0ftysmKXHfddXY/F7VLF5fQtm7dmpSUlBKlyWW59dZbCQwMLC4HBnj33XcJCAhgzJgxJdb/888/S3ymrVu3lmv8gB49erB8+XKeeuop1q1bR25ubrnjLOoJufhu880334yHhwerV6+2W96hQwdatGhht0yn03Hffffx22+/cfr0aaCwt2LFihVMmzbN7nGOb7/9loyMDO66667iZXfddReqqpborbycgwcPMnLkSPr06cNnn31W4pGR4cOHo9fr7eKG8+edY8eOcejQIW6//XYALBZL8WvYsGHExsZy+PDhy8agKArDhg0r/tlgMNCsWTNCQkLsnsv29fW1O88A/Pbbb/Tv35/Q0FC7Yxf1Lq1fv97uWCNHjixRNdWjRw92797NtGnTWLlyJRkZGZf/0oRwAidOnOC2224jODgYvV6Pi4sLV199NUCpbfmNN95o93NRaWzR33aR2267rcxjb9y4kdzc3BLtYePGjRkwYIBde3jnnXdy9uxZu7LhBQsWEBwcbNdLnJCQwL333kvjxo0xGAy4uLgQHh5e4vP06NGjuCd406ZNFBQU2MWwYcMGMjIySrSp1e2DDz6gS5cuuLq6Fse7evXqUr/70tql8lAveoTlYr6+vkRFRTFnzhzmzp3Lzp07sdlsduusXLkSi8XC+PHj7dpQV1dXrr76arsS56ysLJ588kmaNWuGwWDAYDDg6elJdnZ2iX+Dy51Lq+O8UVmS3NaAbt268eSTT/Ldd98RExPDww8/THR0tN2gUr6+vnbbFCWHl1qel5cHUNzdX9podaGhodhsNlJTU+2Wf/XVV4SFhTF27NgKfQ4/P78Sy0wmU/EvcGpqKqqqEhQUVGK90pYJIWpf69at6datm93rkUce4bnnnmPUqFH8+uuvbN68ma1bt9KxY8dSk73KtlflZTKZmDJlCosWLSItLY3ExES+/fZbJk+eXOozZx07dizxmbp164arq2uZx3rnnXd48skn+fnnn+nfvz++vr6MGjWKo0ePlrltcnIyBoOhxKAqiqIQHBxsV44FpbfTUJigurm58cEHHwCFZcFubm52SSwUltW5uroyZMgQ0tLSSEtLo0OHDkRERLBw4UKsVmuZMcfExDBkyBAaNWrEjz/+aHcjssjFbX3Rd170u1D0mMljjz2Gi4uL3WvatGkAZU455+7uXuLfx2g0lvgdKlp+4e9QfHw8v/76a4ljF5VXX3zs0r73GTNm8Prrr7Np0yaGDh2Kn58fAwcOvOTUSkJowd/fH3d3d06ePFnmullZWfTt25fNmzczc+ZM1q1bx9atW/nxxx8BSrTl7u7uJUauL2rTLm4DgoODyzx+WdejF7aHQ4cOJSQkpPimXGpqKkuXLmX8+PHFN9ZsNhuDBw/mxx9/5IknnmD16tVs2bKl+Pn/Cz/PkiVLmDBhAp988gm9e/fG19eX8ePHExcXBxQ+DwtUeKT8ipg7dy5Tp06lZ8+e/PDDD2zatImtW7cyZMiQUs+jlR1l+tSpU5hMplLbSig8/6xevZprr72W2bNn06VLFwICAnjggQfIzMwEzrfh3bt3L9GOLlmyxK4Nve2223jvvfeYPHkyK1euZMuWLWzdupWAgAC7z1XWubQ6zhuVJc/c1jAXFxdeeOEF3nzzzWqp8y9qgGJjY0u8FxMTg06no2HDhnbLV6xYwZgxY+jbty+rV68uvgtWVQ0bNkRRlP9n777jm6j/MIA/SZo03XtBJ7uMMsqQIXvIElEQRREEVMAF7o3iHij8VIYiogxFUBEBgbL33psW2kL33tn3+6NSKS10Jb1L8rxfr760yeXuSWkv97nvqnR87Y0TDBFJz7Jly/DYY4/ho48+Kvd4ZmYmPD09Rck0depUfPLJJ1i8eDE0Gg0MBgOmTJli9uO4uLjgvffew3vvvYe0tLSyO8/Dhw/HhQsX7vhaHx8fGAwGZGRklCtwBUFAampqhbHBt2sx8PDwKLswe+mll/Djjz9i7Nix5X72ly5dwp49ewCUzqRZmU2bNpVrDb1Vfn4+hgwZApPJhA0bNpSNn62pG2OsXn/9ddx///2VbnPrOG1z8vX1RVRUFD788MNKn791aavKfu4ODg544YUX8MILLyA3NxdbtmzBG2+8gUGDBuHatWs1mjWWyFIUCgX69euHf/75B9evX79jcbZt2zYkJydjx44dZa21AG47jryyv4sb57SsrKxyBW51ruGquh69cd648b7GjRuH//3vf8jNzcWKFSug1Wrx+OOPl21z5swZnDx5EkuWLMH48ePLHq9sIipfX1/MmTMHc+bMQWJiItauXYvXXnsN6enp2LhxY9n5+fr163d8D2q1Gnl5eRUer07RtWzZMvTu3Rvz588v9/iNgvJWtWlBTkpKwtGjR9GrV6/bjrcFgLCwsLL5GS5duoTffvsN7777LnQ6HRYsWFD2b7F69eo71gB5eXlYt24dZs6ciddee63sca1WW2Ft5ao+S8X83GDLrRlV9gcO/NeVwhxrSzZv3hwNGzbEihUrynVVKCoqwu+//142g/LNwsLCsHv3bjg6OuLuu++uVgtFdbi4uKBjx45Ys2ZN2RqMQOndxMpmVSYiaZDJZBVaRNevX4+kpCSREpXe1R49ejTmzZuHBQsWYPjw4bct6swlICAAEyZMwMMPP4yLFy+WDem4teXyhhuziy5btqzc47///juKiorKnq+O5557DpmZmRg1ahRyc3PxzDPPlHv+xoXK999/j+3bt5f72rBhA5RKJRYvXnzb/et0OowcORLx8fH4559/6tSC0bx5czRt2hQnT56stMW8Y8eO5YawmNuwYcNw5swZNG7cuNJj1/Sz1dPTE6NGjcLTTz+N7OzsCrO/Eonp9ddfhyAIeOKJJ8pdW92g1+vx999/lxVLt57LFy5cWO1j9enTBwCwfPnyco+vWLGiytd27doVTk5OFc6H169fx7Zt2yqcDx9//HFoNBr88ssvWLJkCbp27VpuDfbavp/Q0FA888wzGDBgAI4dOwYA6NatGzw8PLBgwYI7dusNDw/HpUuXoNVqyx7LysrCvn377njMG3lvzXrq1KlqrVxSHSUlJZg8eTIMBgNeeeWVar+uWbNmeOutt9CmTZuyn8egQYPg4OCAuLi4257Db7wnQRAqvK9FixbdsadQZZ+lYn5usOXWjAYNGoTg4GAMHz4cLVq0gMlkwokTJzB79my4urri+eefr/Mx5HI5PvvsMzzyyCMYNmwYnnrqKWi1Wnz++efIzc0tW1rhVkFBQdi5cycGDRqEnj17IiYmBq1bt65znlmzZmHo0KEYNGgQnn/+eRiNRnz++edwdXWtcJeHiKRh2LBhWLJkCVq0aIGoqCgcPXoUn3/+uUW7cFXH888/jy5dugBAjcaU1kSXLl0wbNgwREVFwcvLC+fPn8fSpUvL3Rhs06YNAODTTz/F4MGDoVAoEBUVhQEDBmDQoEF49dVXkZ+fj+7du5fNlty+fXuMGzeu2jmaNWuGe+65B//88w969OiBtm3blj1nMBjw888/IzIyEpMnT6709cOHD8fatWsrtCLfMGPGDGzbtg0fffQRCgsLyy3t4+fnV+P1zRcuXIjBgwdj0KBBmDBhAho2bIjs7GycP38ex44dw6pVq2q0v5qYNWsWYmJi0K1bNzz33HNo3rw5NBoN4uPjsWHDBixYsKDK393hw4eXrfns5+eHhIQEzJkzB2FhYdWatZSovnTt2hXz58/HtGnTEB0djalTp6JVq1bQ6/U4fvw4vvvuO7Ru3RqLFi2Cl5cXpkyZgpkzZ0KpVGL58uU4efJktY81cOBA9OzZE6+88gqKiorQsWNH7N27F0uXLq3ytZ6ennj77bfxxhtv4LHHHsPDDz+MrKwsvPfee1Cr1Zg5c2a57Vu0aIGuXbvi448/xrVr1/Ddd99VeL5x48Z47bXXIAgCvL298ffffyMmJqbcdnl5eejTpw/Gjh2LFi1awM3NDYcPHy5bvQMonftl9uzZmDx5Mvr3748nnngCAQEBiI2NxcmTJ/HNN98AKJ11eeHChXj00UfxxBNPICsrC5999lmF7tuVGTZsGN5//33MnDkTvXr1wsWLFzFr1ixERETUeDb/xMREHDhwACaTCXl5eTh+/DgWL16MhIQEzJ49GwMHDrzta0+dOoVnnnkGo0ePRtOmTaFSqbBt2zacOnWqrPU1PDwcs2bNwptvvokrV67gnnvugZeXF9LS0nDo0KGyVlh3d3f07NkTn3/+OXx9fREeHo6dO3fihx9+qNCrqzqfpaJ9blhkmio7tXLlSmHs2LFC06ZNBVdXV0GpVAqhoaHCuHHjhHPnzpVtFxYWJgwdOrTC6wEITz/9dLnHbjeT2po1a4QuXboIarVacHFxEfr16yfs3bu33DY3z5Z8Q25urtC9e3fB29tbOHz4sCAIt58V7tYsN7LfPPOpIAjCn3/+KbRp00ZQqVRCaGio8MknnwjPPfec4OXldfsfFhFZ1I2ZLW/8nd8sJydHmDRpkuDv7y84OzsLPXr0EHbv3l1h5sgbszKuWrWqWvuu7JxTndmSbxYeHi5ERkZW+lxl+79Zq1atqpwt+bXXXhM6duwoeHl5CY6OjkKjRo2EGTNmCJmZmWXbaLVaYfLkyYKfn58gk8nKzRBaUlIivPrqq0JYWJigVCqFoKAgYerUqUJOTk65497uPH+zJUuWCACEX3/9tdzjN2bJv9Pslzdmbp49e7YgCBXP47169brtjNI3/j3uNFPnrT83QRCEkydPCg8++KDg7+8vKJVKITAwUOjbt6+wYMGCsm1uN1uyi4tLhWP06tVLaNWqVYXHK/vZZWRkCM8995wQEREhKJVKwdvbW4iOjhbefPNNobCwsMr3M3v2bKFbt26Cr69v2WfVpEmThPj4+ArbEknBiRMnhPHjxwuhoaGCSqUSXFxchPbt2wvvvPOOkJ6eLgiCIOzbt0/o2rWr4OzsLPj5+QmTJ08Wjh07VuEce7u/QUEovS6cOHGi4OnpKTg7OwsDBgwQLly4UOVsyTcsWrRIiIqKElQqleDh4SGMGDGibAbzW3333XcCAMHJyUnIy8ur8Py5c+eEAQMGCG5uboKXl5cwevRoITExsVwWjUYjTJkyRYiKihLc3d0FJycnoXnz5sLMmTPLrTYiCKUzMvfq1UtwcXERnJ2dhZYtWwqffvppuW1++uknITIyUlCr1ULLli2FlStXVmu2ZK1WK7z00ktCw4YNBbVaLXTo0EFYs2ZNhdfe6bx047kbXwqFQvDy8hKio6OF6dOnV/pzvPUcm5aWJkyYMEFo0aKF4OLiIri6ugpRUVHCV199VW4WfEEo/Wzp06eP4O7uLjg6OgphYWHCqFGjhC1btpRtc/36deGBBx4QvLy8BDc3N+Gee+4Rzpw5U+GzvDqfpYJQvc8Nc5MJQhXTcBHVkF6vL5sNevPmzWLHISIrcerUKbRt2xbffvtt2YQTtuzGDPfx8fG1mkWTiIiIymO3ZKqzSZMmYcCAAQgKCkJqaioWLFiA8+fPY+7cuWJHIyIrEBcXh4SEBLzxxhsICgqy3MLuEqDVanHs2DEcOnQIf/75J7788ksWtkRERGbC4pbqrKCgAC+99BIyMjKgVCrRoUMHbNiwAf379xc7GhFZgffffx9Lly5FZGQkVq1aZdMz16akpKBbt25wd3fHU089hWeffVbsSERERDaD3ZKJiIiIiIjI6nEpICIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6DmIHoKpp9EbEZxUhKacEybklSMvXIr1Ag/QCLfJL9CjRm6DVG6HRG6ExmKDRGyEDoFYqoFYq4KiUQ+2ggFoph5ezCgEeagS6l375uzsiyMMJYT7OUCsVYr9VIiKrUawzICmnBEm5JUjO1SAptxgpuRpkFelQojOiWG9AsdaIYp0RxToDDCYBSoUcjg5yqBxu/FcBZ5UCfq6OCPQoPScHuKkR6FH6FebtDAcF70MTEVVXZqEW13NKcD2n9Jyclq9BRqEWGQVaFGgM0BlM0BtN0P77X53RBJ3BBIVcBne1Em5qh3+//vt/X1dHhPu4IMzHGRG+LvB0Von9Nuk2ZIIgCGKHoP8kZhXjfGo+LqQU4GJa6X/js4pgsvC/kkIuQ5iPM1oEuqF5gDuaB7qhZZA7Qn2cLXtgIiKJEwQBcRlFOHU9F+eS83EhtQAXUguQWai1+LFVDnI09nNFZKAbmge6oUWQOyID3eDvrrb4sYmIpMxkEnAlswhnk/Nw+noeziTn4VxyPvI1Bosf29NZiXAfF4T7OKNpgBvah3giKsQTro5sNxQbi1uRxWUU4sCVLOyPy8LBq9nIKLD8xVJNBLg7okuED7o08sZdjXzQ2M9V7EhERBYlCALOJudj9+VM7I3NxMlruSjQWv5iqSZCvZ3RtZEPujYu/QpgsUtENk5vNOFIfA52XErH0fgcnE/JR5HOKHasMnIZ0NTfDR3DvdClkQ/uivDmjUgRsLitZyU6I3ZcTMems6nYF5eFdIkVs1Xxc3NE98Y+uKd1IHo184eTil2Zicj6peVrsPNiBnbHZmJfbCayinRiR6qRRr4u6NrYBwNbBaJ7Yx92ZSYim5CSV4IdFzOw42I69sZmoVBiNxqr0jzADYNaBWBQ60C0auAhdhy7wOK2HhRqDdh6Pg0bz6Rix8UMlOilc5epLpyUCvRu7od7WgeiX2QAu2IQkVXJK9Zj/ekU/HUiCYfjsy0+/KO+eDkrMbBlIIZGBaEbC10isjLXsovx+7Hr+Od0Ki6mFYgdx2zCfJwxqFUgBrUKRIdQT8hkMrEj2SQWtxYiCAL2x2Vh+aFExJxLg85gEjuSRakc5BjQMgCPdAlFt8a+YschIqqURm/E5nNpWHsiCbsuZUJntO1zs5ezEve0DsSDHUPQPtRL7DhERJUq0Rnxz5kUrDpyHQeuZsHWq5NAdzVGdmiIR7qEItiL89uYk80Wt/PmzcPnn3+OlJQUtGrVCnPmzMHdd99t8ePmFuuw6sh1/HIoEVcyiyx+PClq5OeCsZ1D8UCHYHi5cDY5IhJfcm4Jftofj18PXUNeiV7sOKJoGeSOR+4Kxf3tgzmkhIgk4WhCDlYduYb1p1IkN7dBfZDLgL4t/DGuazh6NvVla64Z2GRxu3LlSowbNw7z5s1D9+7dsXDhQixatAjnzp1DaGioRY55Oa0A83fGYf2pFGhtvJW2ulQOcgyLCsKUXo3RLMBN7DhEZIeOJuRg8d6r2HQmFQZb6XdcRx5OSozpFILx3cLR0NNJ7DhEZGdMJgGbzqZi4a4rOHEtV+w4khHu44xH7wrD6OgQeDgrxY5jtWyyuO3SpQs6dOiA+fPnlz0WGRmJ++67Dx9//LFZj3UuOR/fbL+Mf86k2nwXitqSyYB+LQLwTN8maBfiKXYcIrIDW86l4ZvtsbxwugOlQoZR0SF4pm8TFrlEZHEGowl/HEvC/J1xuGqnvRurw0WlwOPdI/BEz0bwcGKRW1M2V9zqdDo4Oztj1apVGDlyZNnjzz//PE6cOIGdO3ea5Tinrufif1tjsfVCGovaGujd3A8z+jdDWxa5RGQBB65k4fNNF3E0IUfsKFZDpZDjwU7BeKZPUwR6cNkKIjIvvdGE349ex7c7YnEtu0TsOFbDw0mJJ3s2wuPdw+Gs4qSt1WVzP6nMzEwYjUYEBASUezwgIACpqal13n9Sbgk+2nAe60+l1Hlf9qh0OvcMDIsKwhtDItGArQVEZAanr+fhs00XsPtypthRrI7OaMKyA4n47ch1jO0cimf7NoGPq6PYsYjIBuy8lIFZf59FXAZbamsqr0SPzzddxOI9VzG1d2M8elcY1ErOl1AVmytub7h1QLYgCHUapF2iM2L+zjh8tysOGj3H1NbVulMp2HI+DU/1bIwpvRpzchMiqpX0fA3eX38e604lsxdNHekMJizZF48/jyfhpUHN8UjnUMjlnNyEiGouIasI7687hy3n08WOYvWyinT4YP15/LDnKl4fEol72zYQO5KksVtyNaw9mYxPNpxHcp7GnFHpXw081Hh1cAuMaNdQ7ChEZCVMJgHLDibg840X7XKGzfoQFeyB90e05jASIqq2Yp0B32yLxaI9V21+GUyx9Gjii1kjWqGRn6vYUSTJ5lZ2V6lUiI6ORkxMTLnHY2Ji0K1btxrtKzVPg/GLD+G5X46zsLWg5DwNnv/1BMYvPoRU/pyJrNq8efMQEREBtVqN6Oho7N692+zHOJecj5Hz9+Gdv86ysLWgU9fzMHLeXrz+x2nkFuvEjkNEErfxTCr6frET83bEsbC1oD2xmbhn7m78b+tl6G18rfbasLmWW+C/pYAWLFiArl274rvvvsP333+Ps2fPIiwsrFr7WH30Omb9fRb5Gl441Sd3tQPeGd4Ko6KDxY5CRDVk6WXYtAYjvtx8CT/sucplfeqZv5sjvhjdFj2b+YkdhYgkplBrwLtrz2L10etiR7E7LQLd8NmoKEQFe4odRTJssrgFSlsPPvvsM6SkpKB169b46quv0LNnzypfl16gwRt/nMGW82n1kJJup39kAD66vzX83ThzJ5G1sOQybFcyCvHMiuM4l5Jf15hUSzIZ8Hi3CLw6uDkcHThPAhEBRxOyMWPlSSRmF4sdxW4p5DK8MKAZpvVuXKf5hWyFzRa3tbHlXBpeXn0SOcV6saMQAC9nJb4c0w59mvuLHYWIqmDJZdhWHbmGmWvPolhnNEdUqqMWgW6Y+1B7NA90EzsKEYnEYDRh7tbLmLcjDkb2pJGE3s398NWD7eDlohI7iqhsbsxtbRhNAj755wKeWHqEha2E5BTrMXHJYXwVcwkmnjiJJM0Sy7AVag2Y/utxvLz6FAtbCbmQWoB7v9mDpQcSxI5CRCK4ll2MBxbsx9fbYlnYSsiOixkY8r/dOJqQLXYUUdl9cZtdpMO4Hw5iwc44LiMhQYIAzN16GRN/Oow83nggkjxzLcMWl1GI4V/vwZoTyeaKRmakNZjw9pozeOPP05zQhMiOHI7Pxn3f7sXJa7liR6FKpORpMGbhAXy3K07sKKKx6+L2TFIehn+9B/vissSOQlXYcTEDw77ZjTNJeWJHIaJK+Pr6QqFQVGilTU9Pr9CaW5W9sZkY+e1eXM0sMmdEsoAVBxMx7oeDyCnibMpEtm710et45PuDyOLfu6QZTAI+2nABTy09Ao3e/no92W1xu/1COkYv2I+k3BKxo1A1XcsuwYML92PHRS4ITiQ15lqG7ddDiRi/+BBnqrciB65kY8S3e3EprUDsKERkASaTgI//OY+XVp2Ejj01rMams2kY+/0Bu7v5aJcTSq0+eh2v/X6KS0lYKQe5DJ8+EIUHuFwQkaTUZRk2k0nAJxsv4LtdV+opLZmbq6MDvn2kA3pxuSAim1GsM+D5X08g5hxXEbFWjfxc8PPEzgj2chY7Sr2wu+J2/o44fLrxgtgxqI5kMuCVQS0wtXdjsaMQ0U1qswyb3mjC878ex4bTtZt4iqRDpZDj67HtMahVoNhRiKiOcop0eGzxIZzmkDCr5+/miCWPd0bLBu5iR7E4uyluBUHA++vOY/Heq2JHITN6vHs43hnWkut6EVkpjd6IqcuOYvvFDLGjkJk4yGWY/WBbjGjXUOwoRFRLGQVaPLroIC5yuIHNcHN0wMLHotGtsa/YUSzKborbN/88jeUHE8WOQRYw7q4wvH9fa7FjEFENafRGTPrpMPbGclI/WyOXAR+NbIOHOoeKHYWIaigtX4OHvz+AKxmc1M/WqBRyfD++o00PH7GLCaXeX3eOha0NW3ogAR+sOyd2DCKqAY3eiMk/HWFha6NMAvD6n6fxI3tLEVmV9AINHv6Oha2t0hlNmLL0KA7H2+5auDZf3H6+6QJ+2MMPV1u3aM9VfL6JY6mJrIHWYMQTPx/BnthMsaOQBQkCMGvdOaw+el3sKERUDZmFWoz9/iCucBk2m1aiN2LiksM2u7ymTRe332y7jG+32+8ixvbm2+1x+HrrZbFjENEdCIKAl1edwu7LLGztgSAAr/1+CtsvcAk3Iikr0how7odDiE0vFDsK1YMCjQGPLT6E2HTbG1Nts8XtsgMJ+GLzJbFjUD2bHXMJK9gFnUiyPt14EWtPJosdg+qRwSRg2vJjOJ6YI3YUIqqE0STgmRXHcD4lX+woVI+yi3R4dNEhXMsuFjuKWdlkcbs3NhPvrj0rdgwSyTt/ncE+dnckkpxlBxKwYCd709ijG93g2CpEJD3vrzvHGevtVGq+Bo/+cBA5RTqxo5iNzRW3VzIKMW35MRhMdjEJNFXCYBIwdfkxXMngRRSRVGy7kIaZvOlo13KK9Ri/+BCybegiisja/bw/Hkv2xYsdg0SUkFVcWjsZTWJHMQubKm7zivWY/NMR5JXoxY5CIssr+fd3oZi/C0RiO5+Sj2dWHIeRNx3tXlJuCZ775ThM/F0gEt32i+l472+uNkHA/itZNvO7YDPFrdEkYNqKo5zhjcpcySzCtBVHeUFNJKJCrQFPLz+GYp1R7CgkEXtiMzE75qLYMYjs2uW0AjzHm450k6UHEvDb4Wtix6gzmylu5269zPUSqYK9sVn4ehtnUCYSy+t/nOZNR6pg3o44xJxLEzsGkV3S6I14ZsVxFGgNYkchiXn7rzM4m2zdSwTZRHF78EoWvt0eK3YMkqivt8Xi0FXbXayaSKqWH0zA35wZmSohCMALv51AQhZvfBDVt0/+uYCLaba3BAzVndZgwtRlx6x6iKfVF7d5xXrMWHmC3SrotowmAdN/Pc7xt0T16GxyHmbZyPgdsowCjQHTlh+D3kYmMSGyBtsvpHMCKbqjxOxiq151xuqL21d/P4XkPI3YMUjikvM0ePX3U2LHILILGr0Rz644Dq2BRQvd2dnkfMzdwqEjRPUho0CLl1efFDsGWYE/jydZ7dARqy5ufz2UiI1nU8WOQVZi49lU/HooUewYRDbvq5hLHGdL1TZ/ZxyOJ+aIHYPIpgmCgJdWnURmIZfioup548/TVtnr0WqL2/QCDT7acF7sGGRlPtxwHmn5bOknspQzSXlYtOeq2DHIihhNAl5efQpaA2fUJrKUZQcSsPNShtgxyIpkFGjx7t/W1z3Zaovb99edR76Gs7xRzRRoDHh7zRmxYxDZJIPRhFdWn+IcCFRjsemF+GYbJ4YkutW8efMQEREBtVqN6Oho7N69u8b7yCzU4rNNXH6Las4auyc7iB2gNnZeyjD7DJzX50+EMT+9wuOu7YfCZ+BUFF/ch4IT/0CXFgdTST6CJvwPqoBGd9ynLiMBeXuWQ5saC2N+Orz6PgH3TiPKbVN4djtyd/4EQa+Ba9RAePWZWPacIS8NaSvfRtD4OZA7OpvnjRI2n0vD5rOpGNgqUOwoRDblu91XcC4lX+wYZKUW7IzDsKgGaB7oJnYUIklYuXIlpk+fjnnz5qF79+5YuHAhBg8ejHPnziE0NLTa+/nknwsoYIMQ1dIbf55G53BveDgrxY5SLVbXcqvRGy3S8hY0/isEP7207Mt/zAcAAJcW3QEAJr0GjsEt4dlrfLX3KRi0cPAMhFev8VC4eFV43lich+yNX8Orz0T4PzgLhWe2ojjucNnzWZvmwavXBBa2FvDe3+dQomMXOCJzScgq4sRAVCd6o4AP1nOGbaIbvvzyS0yaNAmTJ09GZGQk5syZg5CQEMyfP7/a+ziWmIPfj123YEqydRkFWszdaj2f71ZX3H67PRaJ2cVm36/C2QMKV6+yr5LYQ3DwDIJjSBsAgGvrvvDs/jCcwttVe5+OQc3g1WciXFr2AhQV73YYclMhc3SGS2RPOAY1gzo0CvrM0gmPis7tgEzhAOfm3czy/qi8pNwSzNvBLnBE5vLpxgucHZnqbPflTGy/ULEXFZG90el0OHr0KAYOHFju8YEDB2Lfvn3V2ofJJOCdv85A4EgRqqNlBxKsZl1yqypu0/M1WLTb8hOVCEY9is7tgGvUAMhkMosdx8G7IQS9Frq0OBhLCqBLuQSVXziMJQXI3b0c3gOmWOzYBCzafRXpBZxciqiujifmYMNpzlxP5vHhhvMwcO1bsnOZmZkwGo0ICAgo93hAQABSU6t3vl1xKBFnkjhUhOpOZzThs43WMW7bqsbczt16GSV6y3clLb50ACZNIVxa97PocRRqV/gOnYHMdV9CMOjg0rovnBpFI3PDHLhFD4MhLw3pv78PmAzw6D4WLi16WDSPvSnRG/G/rZfxwX1txI5CZNU+3nDBLPupau6Dm2Vt/AaFJzdWOpfBrfIP/4WCExtgzM+A3Mkdzs27w6vXeMgcVAA494HUxKYXYsWhRDzWNVzsKESiu7WRRRCEajW85BXr8cVm6yhGyDqsP52CSYk56BBacaillFhNcRufWYSVh6/Vy7EKT22GU6NoOLj5WPxYzs26wbnZf12PNYmnoM9IgPeAKUj+7kn4Dn8ZChcvpPz8AtQhraFw8bR4Jnuy8vA1PHF3I4T5uIgdhcgqxZxLw6H4bLPsK2j8V4DpvxY7XWYC0le+VTb3wQ3Fl/ZDm3IRClfvKvdZeHY7cnYuge+Q5+HYMBL67CRkbZgDAPDu90TZ3Ac+Q6bDwTMQ6avfg2NoGzg37gSAcx+IZc6Wy7ivfUO4q61jAhMic/P19YVCoajQSpuenl6hNbcyi/ZcQa4VrlFK0vbR+vNYPVXaQyatplvylzGXYKiH5SUMeenQJJyEa9tBFj/WrQSDHtmb58N70NMw5KRAMBmhDm0DpU8wlN4NoU3hHThz0xsFzN58SewYRFbJaBLw6UbztNoCVc99AACGgkxkxyyA77CXAHnV92d1yRegDo6ES8vecPAIgFNEBzhH9oQutXRyDM59IE3ZRTr8uCde7BhEolGpVIiOjkZMTEy5x2NiYtCt253PSbnFOvy4N96C6cheHUnIwcYz0h6GZBXF7bnkfPx9yrxL/9xO4ekYKJw94PTvXfv6lLvvV6gbRcMxsAkgmADTf12wBZOhXIsGmc/fp5JxLpljUohqat2pZMSmF1pk35XNfSAIJmSu+xLuXe6Hyi+sWvtxbNgS2tQ4aJNLbw7qc1NREnek7BzPuQ+ka8m+q5zVnuzaCy+8gEWLFmHx4sU4f/48ZsyYgcTEREyZcufz0ve7r6BQy6V/yDLmbJF2o5BVdEtesDOuXmZ6EwQTCk9vgUvrfpDJFeWeM5YUwJifAWNhFgBAn106rbrCpbSFAQAy182Gws0HXr0mlO7PqIc+89+u1CYDjIVZ0KVdgUylhtKrQbn96zISUHxhF4ImfA0AcPAOBmRyFJzcDIWrF/RZ16EKamqpt27XBAFYuCsOcx9qL3YUIqvy3a4rFtt3ZXMf5B9YDZlcAbfoe6u9H5eWvWAsyUfq8lcBCIDJCNf2Q+Bx12gAnPtAynKK9fjlUCIm9ogQOwqRKMaMGYOsrCzMmjULKSkpaN26NTZs2ICwsNvf3MvX6PHzvoR6TEn25kJqAXZfzsDdTf3EjlIpyRe3KXkl2HA6pV6OpYk/AWN+BlyjBlR4riT2YNk4LQDIXPsZAMCj+8Pw7PEIAMCQnwHI/msMNxZmI2XJc2Xf5x/6A/mH/oBjSGsEjv2k7HFBEJC96Rt49X0CcpUaACBXOsJnyHRkx8yHYNTDe8AUOLj5mvX90n82nE7Ba4NbIMjDSewoRFZhb2wmzlqwx8Otcx9oU2ORf3QtgsbPrdEs9prEU8jbvxLeA6fCsUFzGHKSkb3le+S6/ALP7g8D4NwHUrZo9xWM6xoGpcIqOpoRmd20adMwbdq0am+/dH8CCthqSxb2/e6rki1uZYIg7dWvPv7nPBbutFzrANENT/VqhNcHR4odg8gqjF98CDsvZVhk34a8dCQtnAy/kW/AueldAEpnPM7Ztgi4ubAVTIBMDoWbL4KnLq50X6nLX4FjgxblZkAuPLsd2Ru/QcgLqyCTlS+aBIMeKUueg8+wFyGTK5C28i2EPLscAJDy0wx4dH8Izk26mPkd0518PioKozuGiB2DSPI0eiN6fLodmYVasaOQHdg8oyeaBbiJHaMCSbfcFusM+OVgotgxyE78cjARz/drCmeVpP8siER3Ka3AYoUtUPncBy6t+0Ad3rbcdum/vQOXVn3h2qb/bfcl6LXlC2Lg34JWKB2TcEsj8M1zH+jS4jj3gQQs3HWFxS1RNaw/lcLClurNot1X8NmotlVvWM8k3c/nt8PXkK9h1wqqH/kaA36rp+WmiKzZot2W601zu7kPFE7uUPmFl/uC3AEKFy8ofYLLtstcNxs5O5eUfe/UpDMKjm9A0bmdpZNJXT2O3N3L4NSkS4W5FW7MfeDZ41EA5ec+KI47zLkPRBKbXohDV82z3BSRLVt5hNcwVH/WnEhGRoH0bqZIuonq5wMcEE/1a+mBBEzozslLiG6nSGvA3yctNw/CneY+qI5b5z7w6PYQABlydy+DsTALcicPODXpDK+e48q9jnMfSNvKw9fQOaLqdY2J7NXVzCLeBKJ6pTOYsOxAAmYMaCZ2lHIkO+b2aEI2Hpi/X+wYZIfWPtMdUcGeYscgkqRVR67h5dWnxI5BdsZZpcChN/vD1VHS9+SJRPPpxguYvyNO7BhkZ4K9nLD7lT41mujR0iTbLXn10etiRyA79cexJLEjEEkW/z5IDMU6I9adrJ/17omsjdEk4HdeN5MIrueUSK7HgCSLW63BiPWn6mf5H6Jb/X0yGQYjJ40hulVSbgkOXM0SOwbZKY4nJKrc9gvpSJfg2EeyD38el9ZNb0kWtzsuZnAiKRJNVpEOuy5bbiZYImu15ngSpDmQhezB8cRcXMkoFDsGkeSsOsobPySef86kQi+hRiFJDl5Zy65HJLI/jyejb4sAsWMQSYrU7s6S/dlyPg1P+rmKHYNIMjR6Y62XZhNMRuTuWYGicztgKsqBwsULLm36w6PbmLI1wDPXf4WiM1vLvU4V1BxBj82+475NmkLk7FqKkkv7YNQUwsEjAN59J5Ut8VZ4djtyd/4EQa+Ba9TAcmuRG/LSkLbybQSNnwO5o3Ot3hvVn7wSPfZczkSfFv5iRwEgweJWbzRh50W2mpG4dlxMh8FogoNCkp0biOpdQlYRYtPZakbi2nI+HU/2bCx2DCLJ2B+XBY2+dq1m+QdWo/DEP/AZOgMq31BoUy4j65+5kDs6w73jiLLt1BHR8B0y/b8XKu5cPghGPdJWvg2Fswd873sdDm6+MBRkQK5yAgAYi/OQvfFr+AyZDgfPQKSvfg+OoW3g/G/hm7VpHrx6TWBha0XWn05hcXs7R+JzUKhll2QSV4HGgCMJObirkY/YUYgkYQdvOpIEHE3IQW6xDp7OKrGjEEnCtgvptX6tNvkCnJp0KSsqHTwCUHx+F3SpseW2kzkooXD1qvZ+C0/FwKQpQOCjn0P2byHs4PFf4WPITYXM0RkukT0BAOrQKOgzE4HGnVB0bgdkCgc4N+9W6/dF9S/mXBpMJgFyufizJkuuWWrHpdr/kRKZEy/mif6z/SLPzSQ+o0ng7yLRTepS3DoGt4Qm4ST02aVDTnTpV6C5fg5OjTqW206TeBrXvn4ESd89iax//gdjUe4d91scexCODVogO2Y+rn39KJJ/mIa8/b9BMBkBAA7eDSHotdClxcFYUgBdyiWo/MJhLClA7u7l8B4wpdbvicSRV6LH2eR8sWMAkGDLLbskk1TsuJiO1wa3EDsGkeg0eiMOXOEsySQNW86lY2T7YLFjEInuUloBknJLav169y6jYNIWIfn7KYBcDphM8Ow5Di4te5Vt49QoGs4tesDB3Q+GvDTk7l6GtF/fQND4uZA5KCvdryE3DZq8U3Bp2Rv+o9+FITsJ2TELIJiM8Oz+MBRqV/gOnYHMdV9CMOjg0rovnBpFI3PDHLhFD4MhLw3pv78PmAzw6D4WLi161Po9Uv3ZF5eJNsEeYseQVnGbkleCC6kFYscgAgBcSC1Aap4GgR5qsaMQierAldqP6SIyt12XMyTT/Y1ITHVptQWA4vO7UHR2B3yHvwSlXxh0aVeQs/V7KFx94NqmHwCUdR0GAJVfOFSBTZE0fyJK4g7fvuuwYILC2RM+9zwDmVwBx8AmMBZmI//QH/Ds/jAAwLlZNzg3++/1msRT0GckwHvAFCR/9yR8h78MhYsXUn5+AeqQ1lC4eNbpvZLl7YvLwlO9xJ8TQVLdkndfyhQ7AlE5u7kkEBF28dxMElKgMeBSOm+EE9W1t2POjh/hcdcouLTsBZVfOFxb94VbpxHIO7Dqtq9xcPWGg4cf9Dm3X9lE4eoNpXcDyOSKsseUPiEwFuVAMOorbC8Y9MjePB/eg56GIScFgskIdWgbKH2CofRuCG3KxTq9T6ofR+KzJbEkkKSK22OJOWJHICrn+LVcsSMQie5IQrbYEYjKOZaQK3YEIlGZTAJOJ+XVaR+CXgvIypcCMpkcEG5foBhL8mHIz7zjBFOODSOhz0mBcNN+9DlJULh6Q6ao2JU5d9+vUDeKhmNgk9Jj/zs2FwAEkwEwiV8wUdWKdEaclMB1s6SK2xMS+IEQ3exEYq7YEYhEpdEbcT5FGpNEEN1wNIE3w8m+XcksrPPqIk5NOiNv30oUxx2GIS8NxZf2If/wGjg36woAMOlKkLPtB2iTzsOQlwZN4ilkrJ4FhZM7nJt2LdtP5rrZyNm5pOx7t/ZDYNIUIGfLd9BnJ6E47jDy9q+CW/uhFTLoMhJQfGEXPHs8CgBw8A4GZHIUnNyM4rjD0GddhyqoaZ3eJ9WffXHiz88hmTG3JTojLnMNRZKYS2kFKNEZ4aRSVL0xkQ06k5QHvVEQOwZROcfZ04vs3MlrdWu1BQDv/k8hd/cyZG+eB1NxHhSu3nBtNxie3R8q3UAmhy4jHoVnt8GkKYLC1Qvq0Cj4jni13Bq0hvyMci3ADu5+CHhwFrK3LkLB4mfg4OYD9473wr3LA+WOLwgCsjd9A6++T0CuKp3fRK50hM+Q6ciOmQ/BqIf3gClwcPOt83ul+nFEAjceZYIgSOKq5dDVbDy4cL/YMYgqWDWlKzqFe4sdg0gUP+y5ivfXnRM7BlEFx98eAC8XrndL9undtWexZF+82DGIygnyUGP/6/1EzSCZbsmnrueKHYGoUuyaTPbsbB3HdBFZygleN5Ad43UzSVFKngb5moqThtUnyRS3Uln4l+hW5zjekOwYf/9Jqq5kFIkdgUgUBqOJ52aSrMtp4s5mL5ni9komP6RImuKz+LtJ9kkQBFzluZkk6mom5+kg+3Qls4hrj5NkXUoT99wsmeI2kQUESVRCVrHYEYhEkZavhdbACyiSJt54IXsVz999krCLqWy5RV6JHjnF4vbPJrqd7CKd6OMHiMRwLYc3dki6rrJbMtmpxGyem0m6LqezuEUiW8ZI4hIy+TtK9ofnZpKylHwNNHqj2DGI6t31nBKxIxDdVrzI18ySKG45ppGkjr+jZI/YOkBSJggcNkL2KSmXxS1JV2ahVtTjS6K4TcnjHylJW1q+RuwIRPWO3ZJJ6rJEvogiEgOvSUjKtAYTCrUG0Y4vieI2l+NtSeL4O0r2KLNQJ3YEojvifB1kj1jcktSJeeNRGsVtCT+cSNpyS3iRT/angBOpkcTlFPPcTPZFEATeeCTJE/N3VBLFbR6LW5I4ttySPSrUiNetiKg6clnckp3RGkwwmgSxYxDdUXaRvRe3LBxI4ljckj0qYHFLEsduyWRvOEM4WQO775bMlluSOnZLJnvEbskkdeyWTPZGazCJHYGoSmIOOZVEccu7UCR1Gj0/TMi+GE0CinQ8N5O06XihT3aG18xkDQxG8c7NkihuOXKApM7E8S1kZ/QifjARVRfHHpK94c12sgZiXkI4iHdosqRGzlw72JyCVJK4D0RUb+QymdgRbI5SLiBEzSU8zMlTwZ8n2RetgS235uaiMCHAkWtmm5OzTLyfpySKW15CmVcP7zwsK54qdgwb0xjAYLFDENUbBznPzOY2wCcL8wqeEzuGbZENA9Bd7BRE9YZd8c3PxcGIje4fQZUbJ3YU2yF/DUBrcQ4tylHJokZ6XRU7gu1RKMVOQFSv5HIZ2HhrXko5L0rNTi6Je/RE9cbRQSF2BJuTrlViiv4FCCoXsaPYDoV452ZJFLe8gDKvTrLzYkewPXIWt2R/2HprXkoZx4eaHW88kp1xcWRxawnbsrzwg/dLYsewHSJeN0uiuFUr+YdqTg3yjokdwfaIeAeKSCwKFrdmpZRxrJzZseWW7IyrI3/nLeWD+OY4FTJO7Bi2QcQbj5Iobj2ceOfVXDp75sGhIEnsGLaHLbdkh3jj0bxUbLk1P5Wr2AmI6pULi1uLeiDuHuQF3CV2DOtn7y23ns4qsSPYjAe8E8SOYJtc/cVOQFTvvF14bjYnBxnH3JqdW4DYCYjqlbNKweF8FqQ3yTAq8wkYXYPEjmLdXP1EO7QkilsvZ7aKmUsXOcfbWoR7Q7ETENU7X1dHsSPYFCWLW/NzDRQ7AVG9kslkcFGx9daSLhc54Q3lyxAUvMFba+7Boh1aEsWtJ7slm01wPsfbWoQHi1uyP34sbs3Kgd2Szc+NrStkfzju1vJWpgRiXdCzYsewXh72XtyyW7JZdPAohEP+NbFj2Ca23JId8nHludmc2HJrAeyWTHYo0EMtdgS78GxsNBKC7xU7hvWRKwFX8c7Nkihug/hHahYP+MSLHcF2eYSInYCo3rFbsnkpWNyaH1tuyQ6FejuLHcFu3JswCiU+rcSOYV3cggC5eCWmJIrbcF8ummwOXTne1nLYLZnskL8bi1tzUoLFrVnJlYCzj9gpiOpdmA+L2/qSp3fAhKJnYVJ7ih3Feoh8zSyN4taHxa05hBQcFzuCbZIp2DpAdqmRH5dZMScHOYtbs3L1B6eNJXvEltv6dTDXHXPdX4IAnm+qReShfJIobp1UCrYQ1FEbtyIo8+LFjmGb3AIBOdf7JPvTLIDFrTk5sOXWvDgXAtkpFrf1b25iIxwImSx2DOsg4mRSgESKW4Bdk+tqtC/Xt7UYXkCRnfJ0VsGXk0qZjRJGsSPYlqAosRMQiSKMPR5FMTa2N7KCeokdQ/pY3JaK4B9qnXR1uCB2BNvl3UjsBESiaeLP1ltzUXApIPMKaid2AiJRBLg7Qq2UzCW83RAEGUakTIDePUzsKNLmHSHq4SXzl9EiyE3sCFYtjONtLSeks9gJiETD4tZ8HGRsuTWrBu3ETkAkCplMhuYBvG4Ww3WNI2YIL0JwcBI7ijTJ5EBwJ1EjSKa4jQr2EDuC1WrhWgxVbpzYMWxXaFexExCJhhdQ5uMAttyajYMa8IsUOwWRaNqGeIodwW6ty/DFCv8ZYseQJr9IQC1uTSeZ4rZVAw84yDkLWW086Mfxthaj9gD8eQFF9qt9qJfYEWyGgi235hPQGlA4iJ2CSDRRwZ5iR7Brb15pjYshY2r0ml0JBgz/pRgNZhdA9l4+1lzQ33bbp/4ugey9fMw5oK32/n89o4fsvXzc92txuceXn9Ij5KsCeH+aj5c3a8o9F59rQrOvC5GvNdPN19Au5tlPHUimuFUrFWgeyBaC2ujucFHsCLYruDOXmiC71jLIHW6OLCLMgbMlm1GD9mInIBJVO7bciu6+K8NQ6Neh2tsX6QS0DZDjmyHqO2635oIeB5OMaOBW/evPhFwTXtqswd2h5Vf3yCw2YfLfJfhigBqbHnXBTyf1WH/pv6J66voSfNLfEe6OZrrWDbnLPPupA8kUtwDQMYwtBLURXnhC7Ai2SwJ3oIjEJJfLEB3Oc7M5KFjcmg/H25Kda+LvCm8XzmYvphKjAg/nToXJ2a9a2w9uqsQHfdW4P1J5222S8k14ZoMGy+93QnXnDDOaBDzyRwne6+2IRl7lX3QlR4CHowxjWivRqaECfSIUOJdR+lm04rQeKoXsjnlqTALXzdIqbsO9xY5gdRo7l8Ax55LYMWyXBO5AEYmtE8/NZsEJpcyoQfVbS4hsVTQbhUR3usAFs9QvQ5DXvYeTSRAw7s8SvNxNhVb+iqpf8K9ZO7Xwc5FhUoeKNzuaestRrBdwPMWI7BIBh5OMiApQILtEwDvbNfhm8J1bkWvENRDwCjff/mpJUsVtjya+4LDbmhnjf03sCLZL7gA0jBY7BZHoOkewuDUHBSeUMg+3BkBAS7FTEImuC8/NkrAkORhbG06t834+3aODgxx4rkv1W+T3Jhrww3E9vh9eeZHq5STDT/c54bE1Jej8fSEea6vEoCYOeGmzBs92VuFqrgntFxai9bxCrD53+zHA1SKBVlsAkNRAKi8XFdqGeOJ4Yq7YUazG3Uqub2sxgVGAylnsFESiiwr2gFoph0bPbrV14QC23JpF83vETkAkCb2b++GD9efFjkEAJl/uin2NL6NB0sZavf5oshFzD+pw7CkXyKo510uBVsCjf5bg++Fq+Drfvr1yZKQSI2/qerwj3oDT6UZ8M0SNJv8rxC8POCHQVYbOi4rQM0wBf5datn1KpLejpIpbAOjT3J/FbQ1EFJ0QO4LtCusmdgIiSXB0UKBHEz9sOZ8mdhSrxpZbM2k+ROwERJLQxN8NjfxccCWjSOwoBGDEtYexx+dKrYYL7k40IL1IQOhXhWWPGQXgxc1azDmgQ/z0ipPuxuWYEJ8rYPgvJQBKAACmfz9mHGbl4+IzrmjsXb5Q1RoETFuvwbL7nRCbbYLBBPQKLy0Hm/nIcfC6EcOb17K4DZPG0pmSLG6/jOEY0uoId9LAMZszJVtMyxFiJyCSjEGtAljc1pECBrEjWD+VKxDRU+wURJIxoGUAFu68InYMApChU+JJ3fNYonoVMl1h1S+4ybgoJfo3Kl+WDVpWjHFRSjzervIJn1r4ynF6qku5x97apkWBTsDce9QI8ajYAvz+Li0GN3FAhyAFjqcYYTD9d9NVbywtqGvFM0wys9hLrrht3dAdfm6OyCio/rpO9upB/2uQpbElwCI8w4CQzmKnIJKMAS0D4CCXlfsgpJqRs+W27hr3BRwcxU5BJBkDWwayuJWQnVleWBj2EqakvVvhuUKdgNjs/4b3XM0x4USqEd5OMoR6yOFzy0g4pRwIdJWhue9/k0s99mcJGrrJ8HF/NdQOMrS+ZeIpT3VpQXvr4wBwNt2IlWcNOPFUaUHcwlcOuUyGH47pEOgqw4VMEzo1qP5EVuW0GVW711mApCaUAgCZTIb+kf5ix7AKPVVs4baYNqPFTkAkKZ7OKk4sVUcKjrmtO3ZJJiqnQ6gn/Nx4w0dKPklohuMh4ys8fiTZiPYLi9B+YWk38hc2a9F+YRHe2V79Br3EPBNSCmt+o1QQBDy5ToOvBjnCRVVaADspZVhynxqzdmkxaa0G3wxRo6F7LUvDNg/W7nUWIBMEQXK3kg9eycKY7w6IHUPyzjf8CE5ZZ8SOYZuePgT4NRc7BZGk/Lw/Hu/8dVbsGFZrXdP1aH1tudgxrJdMAbwcCzjzJgvRzV7/4zR+OZQodgy6iVIu4HDoN/BM3S92FMsLaANM3SN2ijKSa7kFSpedCPF2EjuGpDVUa6HOPid2DNsU2IaFLVElBrUK5HJtdcCW2zoKvYuFLVElBrcOFDsC3UJvkuGB9MkwuDUUO4rlRUmrt6Mki1uZTIaR7ezgl6EOHgq4DpnAZTksgl2SiSoV4K5G9ya+YsewWnIWt3XTbqzYCYgkqUcTXzT0ZKOQ1MQVO+E1xUsQFLbcbVwGtJbOeFtAosUtAIzsECx2BEnrxfG2liGTS+6PlEhKxnQKETuC1VKANyRrzdEDaHW/2CmIJEkul+Hhzjw3S9Hq1ACsCXxW7BiWE9Yd8JBWg6Rki9sIXxd0CPUUO4ZkNSk5KXYE2xTaTXJ/pERSMrBlILxdVGLHsEoKoW4ttx/v1qLT94Vw+zgf/p8X4L5fi3Exs/w+J6wpgey9/HJfdy268xqY3x/V4e4fi+D1aT68Ps1H/5+LcCip/H6Xn9Ij5KsCeH+aj5c3a8o9F59rQrOvC5GvteAUHlEPAirnqrcjslNjOoVCqeC4ESmaEdcBV0PuEzuGZUholuQbJFvcAsC4rmFiR5CkQEcdnLI4qYtFRElntjciKVI5yPFgR7YQ1Ia8ji23OxMMeLqTCgcmuSBmnDMMJmDgsmIU6coXlfc0USDlRdeyrw2P3Lko3JFgwMOtldg+3gX7J7kg1EOOgUuLkJRfmjez2ITJf5fgiwFqbHrUBT+d1GP9JX3Z66euL8En/R3h7mjBC+voCZbbN5EN8HNzxMCWHHsrVfdevR8lvq3FjmFeCkeg1X1ip6hA0sXtsKgGCHRXix1Dch4MuA5ZHVsAqBLOvixuiarhkS6hnFiqFuo65nbjoy6Y0E6FVv4KtA1U4McRaiTmCTiaUn6/jgoZAl3lZV/eTnf+x1p+vzOmdVKhXaACLXwV+H64GiYB2HrVAAC4kiPAw1GGMa2V6NRQgT4RCpzLKC18V5zWQ6WQ4f5IZZ3e2x2F9QACbeyikMgCHukSKnYEuo0CgwPGFTwLk9pL7Cjm0/YhwEl670fSxa1SIceE7uFix5CcPurLYkewTZ2fBJSckIGoKiHezugXGSB2DKsjN/MkgHn/Lo14a/G6I94A/88L0OzrQjyxtgTpRTU7brEe0Jv+229TbzmK9QKOpxiRXSLgcJIRUQEKZJcIeGe7Bt8MtvBN6LumWnb/RDaiWxNfNPJzETsG3caRPDfMdnsZgkzS5Vf1yORA9+fFTlEpyf90H+4cCheVQuwYktLMjONtqzOGq1An4JkNJQj+sgBOH+Yj8ttCzD+su+N+9UYBs3Zq0fh/BVB/kI+2CwqxMdZQbhvRx3DdTOkCdH6ifo5FZAOe6dNE7AhWx5yzJQuCgBc2adAjVIHW/v99Rg5u4oDl9zth23hnzB7oiMPJRvT9qRhaQ/XPpa9t0aChmwz9GzkAALycZPjpPic8tqYEnb8vxGNtlRjUxAEvbdbg2c4qXM01of3CQrSeV4jV5/RV7L2GvMKB5kPMu08iG/Z49wixI9AdfHstHHuDbeB6s8UwwKex2CkqJfni1sNJidEc31XGT6WHc9YZs+2vOmO4ZmzUYGOsAcvud8L5p10x4y4Vnv1Hg78u3P4i5q1tWiw8qsPXg9U497QrpkSrMHJlMY7/231OEmO4btbhMa6fSFQDbUM80auZn9gxrIo5W26f2aDBqTQjfnmgfG+TMa2VGNpMidb+CgxvrsQ/jzjjUpYJ6y8bbrOn8j7bq8UvZ/T4Y4wz1A7/nX9HRipxeqorYp9zw7u91dgRb8DpdCOeiFbhodUlmDNIjd8fdMKkWrQU39FdTwNyyV+qEEnGmI4hXBZI4sbF9kRGg75ix6ibHtOr3GTXrl0YPnw4GjRoAJlMhjVr1lg8FmAFxS0ATL47AiqFVUS1uFEBSZCZqneRUh3VGcO1/7oR49uq0DvcAeGecjwZrULbQDmOJN++FWLpKT3e6OGIIU2VaOQlx9ROKgxq7IDZ+0tbfEUfw3UzhSPQzYanaSeykOf6NRU7glWRm2muhGc3lGDtJQO2j3dBsPudPxuD3OQI85TjclbVBecX+7T4aLcWm8e5ICrg9j2mtAYB09ZrsHCYE2KzTTCYgF7hDmjuq0AzHzkOXjdTC7VnKCeSIqohlYMcz/RlzxopEwQZ7k1+DHoPK21lb9QHaBhd5WZFRUVo27Ytvvnmm3oI9R+rqBiDvZwxloPkAQD9nGItuv/KxnD1CFVg7SU9kvJNEAQB268acCnLhEFNHG67H60RUN/ytJMS2JNYWpiLPobrZtETuPwPUS1Eh3mhexMfsWNYjbp2SxaE0iEif1wwYNtjzojwqvojPKvYhGt5JgS53bkXzOd7tXh/lxYbH3VGxwZ3Hgr0/i4tBjdxQIcgBYwmwGD6r6eP3ggYzTWapM9bgAOXnSKqqdHRwQj15tJZUpaiUeFZ0wsQlFb479T3rWptNnjwYHzwwQe4//76XaPcKopbAHi2bxO4Ot6+mLIXLTSWW9/2dmO4/jdYjZZ+CgR/VQjVBwW4Z3kx5g1Ro0fo7f89BjVW4MsDOlzOMsIkCIiJM+CvCwakFJZe9Yg6hutmDk7A3S9abv9ENu65vmy9ra66ttw+vUGDZaf0WHG/E9wcZUgtNCG10IQSfel5tVAn4KXNGuy/ZkB8rgk74g0Y/ksJfJ1lGNniv54wj/1Zgte3/DfPwWd7tXhruxaL73VCuKe8bL+FuopV6tl0I1aeNWBWH0cAQAtfOeQyGX44psP6S3pcyDShUxXFcbUEtuHs9US15KBg66012Jjhg6W+L4gdo2aaDgSCO4qd4o6splr0cXXEpB4RmLvVfmcK9lIa4JJ5ymL7vzGGa8/E8jPt/e+gDgeuG7H2ISeEecqxK8GIaRs0CHKTl004cqu596jxxN8atPi2CDIAjb3leLydEj+e+K9QHRmpxMibuh7fGMP1zRA1mvyvEL884IRAVxk6LypCzzAF/F0scC+m0yTAjbO+EtVWl0Y+6N3cDzsuZogdRfLqWtzOP1J6/uz9U3G5x38cocaEdiooZMDpdCN+PqlHrkZAkJsMfcIdsHJUaTF8Q2KeCfKbZuucd1gHnREYtaqk3H5n9lLh3d7/9aIRBAFPrtPgq0GOcFGV7s9JKcOS+9R4eoMGWgPwzRA1GlbRVbpa+r8LyLjeFFFtPdAhGPN3xOFqZpHYUegO3rnaEh2bPoyW134RO0r19HlD7ARVspriFgCe6NkIyw4kIKvozjP12qrRAcmQZVqmFfPGGK5dE8qP4SrRC3hjqxZ/jnHC0GalhWhUgAInUo34Yp/2tsWtn4scax5yhsYgIKtYQAM3GV7bor1tN7obY7iW3V9+DBeAsjFcw5ububhVewI9Zph3n0R26J1hLbE3dhf0ZuuPaptkqNtES8JM9zs+76SUYdOjVS8DsmNC+W3ip7tV6/gymQx7J1bc/7BmSgxrZsY5EiJ6AU36m29/RHZIIZdhev+meP7XE2JHoSo8cGUIDjW8DLf0I2JHubNWI4EG7cVOUSWr6ZYMAK6ODni+v/12gbPEeNuqxnDpTaVf8ltuoCtkgKka17FqBxkausthMAG/n9djRPPKi+F6G8N1s4EfAC6+FtgxkX1p5OfK5SeqwVwTStk2GTDgPbFDENmEEe0aonM4V4KQuhKjAg9mT4HRxV/sKLen9gDu+VTsFNViVcUtADzaJQxRwR5ixxBFpM78XZKrGsPl7ihDrzAFXo7RYke8AVdzTFhyQoefT+nvOIbr4HUD/jivx5UcE3YnGHDP8mKYBOCV7o4VMtTbGK6bhd8NdBhn3n0S2bHn+jWFn1vFv2/6j4zFbdWspGWAyFq8N6IVFLe2UJDknC90xruOL0OQS7RT7YBZVjOMT6I/wduTy2X4aGQbjPh2L4zVaTq0EW4OBrhlmn8yqarGcAHAr6Oc8PpWLR75owTZJQLCPOT4sK8jpnT8r7i9dQyXxlC61u2VHBNcVTIMaeqApSOd4Kkuf4Kt1zFcNziogeFzzbc/IoKrowNeGdQcL6+23LwA1o7FbRXUnsCgj8ROQWRTIoPcMb5rOBbvvSp2FKrC0uSG6N7kadxzXWLXqGHdgQ7ja/yywsJCxMb+1+v06tWrOHHiBLy9vREaarlVcGSCIFhlhfjh+nP4frf9/KE+3uAaZma/KnYM29D3baDnS2KnILI5giBg9IL9OJKQI3YUSTrf8AM4ZZ0TO4Z0jfwOaDtG7BRENqdIa8DAr3YhKbek6o1JdHuaLEfw9fVixyilcASm7gV8az4sdMeOHejTp0+Fx8ePH48lS5aYIVzlrK5b8g0zBjRDQ08nsWPUm4EucWJHsA3+rYDuz4udgsgmyWQyzH6wLZxVZh5GYCM45vYOWgxjYUtkIS6ODnj/vlZix6BqGpH4ILTezcWOUarny7UqbAGgd+/eEAShwpclC1vAiotbZ5UDPhzZWuwY9aalBcbb2h2ZHLj3a0Bhxlk9iaicMB8XvDEkUuwYkiQzsbitlLMPMGyO2CmIbFrfFgEY0a6B2DGoGrJ0SkzSTIfgeOcZ8i3OvyXQY7q4GWrBaotbAOjd3B+Pdw8XO4bFuShMcM8y/3hbu9P5SSA4WuwURDbv0bvC0KuZn9gxJEcm1G0pIJs1dDbgyt8XIkt7/77WCPV2FjsGVcOebA984/EyBIg0GZhMDgz/n1U2CFl1cQsArw+ORKsGIt/ZsLD7A1IgM3CcRJ14RZSOtSWievHZqCh4Olvfh6IlyQSD2BGkp9X9pTMkE5HFuauV+GZse6gUVn/5bxdmJzbG0ZAJ4hz8rmlASCdxjl1HVv/brXKQ4+uH29v0GC+Ot60jlSvw8C+Ao6vYSYjsRoC7Gh/e10bsGNLCMbfluQaUttoSUb2JCvbEq4NbiB2DqmlMbD9kB/ao34OG3w30t971xq2+uAWARn6ueO9e2x0o31p/WuwIVkwGjFwI+HMMIFF9GxoVhCfujhA7hmRwzO1NFCpg9E+As7fYSYjszqQeERjQ0jrWLLV3RkGO+9MmwuAWXD8H9AgtPTcrrG612DI2UdwCwOiOIRgdXU//8PXISWGEZ9ZxsWNYr16vApHDxE5BZLdeGxyJHk18xY4hCVzn9ibDvgLCuoqdgshufTGqrV2tOmLN4kvUeEn+EgQHtWUPpHQGHloOuPhY9jgWZjPFLQB8OLINOkfY1l3gEf7pkOmLxY5hnVoMA3q/JnYKIrumkMvw9cPtEeLNiyh2S/5X12eA9o+KnYLIrnk4l46/VSttqhSwWWvS/LEqwMJLWd77NRAUZdlj1AOb+o1WOcix8NFohPnYzkxw97hyvG2t+LUARi4AZCLNMkdEZbxcVPhuXEc4KW13boTqkJk4oRSaDgIGvC92CiIC0D7UC3PGtIecl0pW4ZW4togNecAyO+8+HWgzyjL7rmc2VdwCpRdRP4zvCDe19fYVv1kbwxmxI1gftSfw0ArA0U3sJET0r8ggd3z5YFv7voiy95Zbv0hg1A+A3OYuPYis1j2tAzFzuO3OW2NrRly9D8W+bc270yYDgH4zzbtPEdnkJ0wTfzfMe6QDHKz8KkopF+CddUzsGNZFJi+9ePJpLHYSIrrF4DZB+MCeZ1C25wmlnLz/nbWeNx2JpGZ8t3A81bOR2DGoGooMCjxa8DRMTmYaF+vdGHhgkU3ddLSdd3KLu5v6YbaVtxKM8EuDTFcodgzrIVOUzozcpL/YSYjoNsZ2CcUr9zQXO4Y47LW4VTqX9qbx5szZRFL12uAWuLdtA7FjUDUcy3PFJy4vQ5DVcaiPZxjw2BrAydMcsSTDZotbABjRriE+HGm9rQRD3K+IHcF6yBTA/d8BUQ+KnYSIqjCtdxM81csOWwnsccytgxMwdiVnRiaSOJlMhi9Gt0W3xtY9U669+O56KHYGP1X7HXhFAI9vADxDzRdKImy6uAWAhzuH4t3hLcWOUStRRo63rRa5Q2lXZBsZCE9kD14fHImHO4eIHaPeyGQCZBDEjlG/HNSlXZEjeoqdhIiqQeUgx+IJnXB3Uy7fZg0mXO6B1AYDav5C78bAhPWAh+0toQrYQXELABO6R+CdYdZV4CpkJvhwvG3V5Epg1I9Aq5FiJyGiGvrwvjZ4pIvt3TWujKPMJHaE+uXgVLpeYuM+YichohpQKxVYNL4j+kcGiB2FquG+pEeg86zBPDM+Tf8tbBtaLpTI7KK4BYCJPSLw4cjWUFjJINxh/pmQafPFjiFtChXw4M9Ay3vFTkJEtSCXy/DhyDZ4uo/tTwCnlNtRq63KFXh0dZXzH+zatQvDhw9HgwYNIJPJsGbNmvrJR0R35OigwIJHO2BYVJDYUagKqVoVpupnQFC6VL2xb/PSwtbdtv9d7aa4BYBHuoRh/iMdrGLB6qFuHG97RwpHYMwyoMUQsZMQUR29PKgF3hoaadPLUjvaS3Gr9gAe+wsI71HlpkVFRWjbti2++eabeghGRDXhoJDjfw+1x6ho2+y6aku2Znljse+Ld97IL7K0sHWz/RZ5mSAIdvKJ+58j8dmY9NMR5JXoxY5yW4caLYJ/8jaxY0iT0rm0xbZpLcYZEJFk/XbkGl7/4zSMJtv7WGqg1mIfHhc7hmV5hgIP/woE1HzNTJlMhj///BP33Xef+XMRUa0JgoD3/j6HJfvixY5CVfi76Xq0uba84hOBbYBxawAX+xhLLf0mTAvoGO6N36d2RUNPJ7GjVEohM8E3m+NtK+URCkzazMKWyAY92DEE3z8WDTe1g9hRzE4ls72CvZyInsCTO2tV2BKRdMlkMrx7byu8d28rqxnaZ69GxQ1GfkCX8g+2HAFM3GQ3hS1gp8UtADTxd8OfT3dD53BvsaNUMMg3G3JNrtgxpCesO/Dk9tI7UERkk/q2CMBfT3dHE39XsaOYlUpuwxNK3TWttFXAWXqfp0RkHuO7hWPJ453gboM3H22F1iTHqMwnYXQJBCAD+rwJjP4JUFVjPK4NsdviFgD83dRY8UQXTO4hrYXlh3twvG0FnSaXjuOyoztPRPaqkZ8r1jzdHQNb2s7YIJucUMpBDdy3ALjnY0CuEDsNEVnY3U39sPaZHmgR6CZ2FLqNS0VO+ND1tdLZ6nu9ApuezOI27Lq4BUoHzL81rCW+HdsBLippfDi3F86KHUE6VK7A/YuAobMBhVLsNERUT1wdHbBwXDRm9G9mE5/NKltbCsi9IfD4BqDdw2InIaJ6FO7rgj+ndceIdg3EjkKViAxyx7jRDwIthoodRTR2X9zeMDQqCH890wPNA8S9GyWTCfDneNtS/q2AJ3cAUaPvuBmXkyCyTTKZDM/3b4qfJ3ZGgLuj2HHqxKZabiN6lZ6bG0aLnYSIROCkUmDuQ+3xyf1t4OrIbspSMaZjCP6c1g0RvvbVDflWLG5v0sTfFWuf7Y4pvRqLNmh+gE8O5CVZohxbOmRA9OPAE1sB36ZVbs3lJIhs291N/bDx+Z4Y3DpQ7Ci1prSFlltHd2D4XGD8WsDVv867KywsxIkTJ3DixAkAwNWrV3HixAkkJibWed9EZHkPdQ7Fxul3o1tjH7Gj2LUAd0d8/1hHfDoqCmqlNHqhiskulwKqjuOJOXhp1UnEZRTV63G/aXIEw65/Wa/HlBT/lsCwr4DQu2r1ci4nQWTb1hxPwrt/n0VusXSXcqtMb+8cLCl+WuwYtdd0UOm52aOh2Xa5Y8cO9OnTp8Lj48ePx5IlS8x2HCKyLEEQ8PP+BHzyzwWU6I1ix7ErD3YMxptDW8LDiUP3bmBfgttoH+qF9c/djS9jLmHR7iuor2UXOwjn6udAUqN0AXq/Ctz1NKDgryURVe6+9g3RrYkP3llzFhvPpoodp9qsdrZkJy/gnk+Atg+Zfde9e/cG768TWT+ZTIbx3cLRq5kfXlx1EkcTcsSOZPMaejrhkwfa4O6mfmJHkRx2S74DtVKBN4ZEYu0zPeptyaDAnKP1chxJaTEMePog0P15FrZEVCV/NzUWjIvGskld0NRKlgxSWuM6t5HDgacPWaSwJSLbE+7rglVPdcVHI9vA19W650mQKrkMGHdXGDbP6MnC9jZYSVRD64Ye+G1KV6w/lYKPNpxHUm6JRY7T2zsH8uIMi+xbkjxDgcGfA83vETsJEVmhHk198c/zd2PpgQR8FXMJ+RqD2JFuS2lNLbeBUUC/d4CmA8ROQkRWRi6XYWyXUNzbrgHmbY/FD3uuQmuwovOfhPVt4Y9X72mB5lyK6Y5Y3NbA0Kgg9Iv0x6LdVzBvRxyKdeYdV3Cf11Wg2Ky7lCalC9DlKaDny4DKWew0RGTFHBRyPN49AiPaNcQXmy/it8PXYKivcSQ1YBUTSvk2A/q8AbS8zy7XRiQi83F1dMAr97TAI3eF4bONF7D2ZDI4CqF22oV44rXBLXBXI07cVR2cUKqWsgq1+GHPVSzdn4ACrXlaC/Y0WYbg6xvMsi9JcvIuLWo7Pwk4W6abNyeUIrJv17KLMW9HLH4/mgSdUToF5digFHyU86LYMSrnEVo650HbhwE5Z9okIvM7cS0Xn2+6gL2x9r4iSPU18nXBS4OaY0ibILGjWBUWt3WUV6zHj/uu4se98cgrqdvsnXE+M6AoSjNTMgnxCAG6PgN0eMwiLbWFhYWIjY0FALRv3x5ffvkl+vTpA29vb4SGhpr9eEQkfcm5JViwMw4rD1+TRJe48Q2S8F72y2LHKM81ALj7JSB6AuCgEjsNEdmBM0l5+G7XFWw4nSLJXjZS0KqBOyZ2j8CIdg3goOD0SDXF4tZMCrUGLD+QgGUHE3Atu+Zjcnt452FZ8VQLJBORX2TpJFFtRlt0oiguJ0FEt5Oer8EPe65i1dHryC7SiZZjUsNreDvrVdGOX05Q29IeNK1HAUq12GmIyA5dzynGD3uu4rfD11Bk5mF+1kguA/pHBmBijwh2P64jFrdmZjIJ2B2biRUHE7D1fHq170rNbnwCDyR9ZuF09UEGhHUHuj4NNB/McVtEJAlagxEbz6Til0OJOHAlu96PPyU4Aa9lvl7vxy3joAYi7wU6PwGEdBYvBxHRTfKK9Vh+KAG/HrqGxGx7mHimPDdHB4zuGILHu4cjxJvz0JgDi1sLSs/XYOXha/j92HXEZ935D3ZXk18Qev3vekpmbrLSi6VWI4GWIwD3BmIHIiK6rSsZhfjlUCL+PJ6EzML6ac19NuQqXsx4s16OVU5QO6D9o6U9aJw86//4RETVIAgCDsfnYPXRa/jndKrZ5rORIoVchu5NfDGyfQMMbBkIF0fO72tOLG7ryfmUfGw8k4qNZ1JxMa2gwvOxfi/DoSBJhGR10LBjaUHb6j7AI1jsNERENWIyCTiSkINNZ1Ox6WwqrudYZpk3AJgRegXPp79lsf2XkTsAwZ2BZgOBZoMB/xaWPyYRkRlpDUZsv5CBdaeSsfV8Okr01t9tWSGXoUuENwa3DsQ9rYPg58Z1gC2Fxa0IrmQUYuPZVOy6lIFjiblo75qLlZopYseqmtwBaNC+tGtbq/tK16klIrIRZ5LysPlsKrZfzMC5lHwYzTjZycthl/F02kyz7a8cZ9/SNWmbDgAa92MLLRHZDI3eiKMJOdgbm4m9sZk4nZQHa5mHqqGnE7o08kbXRj7oFxkAbxdO3FcfWNyKTKM3IuX6FUTErwauHQSSjgLafLFjlVK5AcHRQGhXIPQuILgToHIROxURkcUVag04lpCDw/HZOHQ1Gyeu5dZp1uU3wi/hydR3zRPOIwQIbFPa5bhJ/9KbjnLOqElEti+vWI/9VzKxJzYTB69k40pmkVlvRNbFjWL2rkY+6NrIh2NoRcLiVmpMJiD9HJB8DMiJB3ISgNyE0v8vyrDMMRWOgFsA4N0ICIwqnUkzqB3g05gTQhERAdAZTLiQmo/LaYWIzSjE5bRCxGUUIjG7uFoXVm9HnMeklPdrdlCFCvBrXnpeDmhdWtAGtgacvGr5LoiIbIvWYMTltEJcTC3AhdR8XEgtwIXUAmQUaC12TG8XFZr4u6KJvyualv3XDYEenH1eCljcWhNdEZCbeFPBmwBo8gCT4ZYvY/nvAcDFD3ALLF3X0C3w3/8PLC1qeaFERFQrWoMR17JLkFmoRWahFlmFun//X4fsIi00ehP0RhNGe17GyPylAP69YSiTAY5upedmF99//+tX2sX4xveuARZdRo2IyFbla/RIzy89L2cUlP9vdpEOWkPpuVlvFCAIAmQyGeQyQC6TwcNJCW8XFTydVfB2UZb+11kFLxcVInxd2L1Y4ljcEhERERERkdXjIB0iIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1szWbJkCWQyWdmXWq1GYGAg+vTpg48//hjp6enltn/33Xchk8lqdawJEybA1dXVHLHLrFixAnPmzDHrPomILKmm511bduNnER8fL3YUIqKyc9KRI0cqfX7YsGEIDw+v31Co/Po7PDwcw4YNM9v+SFwsbs3sxx9/xP79+xETE4Nvv/0W7dq1w6efforIyEhs2bKlbLvJkydj//79IiYtj8UtEVmr6p53bdnQoUOxf/9+BAUFiR2FiMhuSO16ngAHsQPYmtatW6Njx45l3z/wwAOYMWMGevTogfvvvx+XL19GQEAAgoODERwcLGJSIiLbUN3zbn0pLi6Gs7NzvR0PAPz8/ODn51evxyQisnfmvp4vKSmBWq1ma3AdsOW2HoSGhmL27NkoKCjAwoULAVTejWHlypUYOHAggoKC4OTkhMjISLz22msoKiqqdL9nz55Fv3794OLiAj8/PzzzzDMoLi4ut40gCJg3bx7atWsHJycneHl5YdSoUbhy5UrZNr1798b69euRkJBQrovfDTqdDh988AFatGgBR0dH+Pn54fHHH0dGRka5Y23btg29e/eGj48PnJycEBoaigceeKBCJiIiS6vsvAsAR44cwb333gtvb2+o1Wq0b98ev/32W7nX3uhOFxMTg8cffxze3t5wcXHB8OHDy507gdLzZ+vWrbFr1y5069YNzs7OmDhxIgAgPz8fL730EiIiIqBSqdCwYUNMnz69wjl91apV6NKlCzw8PODs7IxGjRqV7QMATCYTPvjgAzRv3hxOTk7w9PREVFQU5s6dWyHzrd2SFy9ejLZt20KtVsPb2xsjR47E+fPny21zY6hLbGwshgwZAldXV4SEhODFF1+EVqut+Q+fiKiGqnO9CgAxMTEYMWIEgoODoVar0aRJEzz11FPIzMyssM/169ejXbt2cHR0REREBL744otqZYmPj4dMJsMXX3yBL7/8EhEREXB1dUXXrl1x4MCBcttWdj0vk8nw7rvvVthveHg4JkyYUPb9jfP25s2bMXHiRPj5+cHZ2Rl79uyBTCbDL7/8UmEfP//8M2QyGQ4fPlyt92KPWNzWkyFDhkChUGDXrl233eby5csYMmQIfvjhB2zcuBHTp0/Hb7/9huHDh1fYVq/XY8iQIejXrx/WrFmDZ555BgsXLsSYMWPKbffUU09h+vTp6N+/P9asWYN58+bh7Nmz6NatG9LS0gAA8+bNQ/fu3REYGIj9+/eXfQGlF1UjRozAJ598grFjx2L9+vX45JNPEBMTg969e6OkpARA6Ylg6NChUKlUWLx4MTZu3IhPPvkELi4u0Ol05voxEhFV263n3e3bt6N79+7Izc3FggUL8Ndff6Fdu3YYM2YMlixZUuH1kyZNglwuLxu2cejQIfTu3Ru5ubnltktJScGjjz6KsWPHYsOGDZg2bRqKi4vRq1cv/PTTT3juuefwzz//4NVXX8WSJUtw7733QhAEAMD+/fsxZswYNGrUCL/++ivWr1+Pd955BwaDoWz/n332Gd599108/PDDWL9+PVauXIlJkyZVyHGrjz/+GJMmTUKrVq3wxx9/YO7cuTh16hS6du2Ky5cvl9tWr9fj3nvvRb9+/fDXX39h4sSJ+Oqrr/Dpp5/W/AdPRPQvo9EIg8FQ4evGOfCG6lyvAkBcXBy6du2K+fPnY/PmzXjnnXdw8OBB9OjRA3q9vmy7rVu3YsSIEXBzc8Ovv/6Kzz//HL/99ht+/PHHamf/9ttvERMTgzlz5mD58uUoKirCkCFDkJeXV/cfzE0mTpwIpVKJpUuXYvXq1ejWrRvat2+Pb7/9tsK233zzDTp16oROnTqZNYNNEcgsfvzxRwGAcPjw4dtuExAQIERGRgqCIAgzZ84U7vTjN5lMgl6vF3bu3CkAEE6ePFn23Pjx4wUAwty5c8u95sMPPxQACHv27BEEQRD2798vABBmz55dbrtr164JTk5OwiuvvFL22NChQ4WwsLAKOX755RcBgPD777+Xe/zw4cMCAGHevHmCIAjC6tWrBQDCiRMnbvueiIjMqabn3RYtWgjt27cX9Hp9uW2GDRsmBAUFCUajsdx+R44cWW67vXv3CgCEDz74oOyxXr16CQCErVu3ltv2448/FuRyeYVsN86VGzZsEARBEL744gsBgJCbm3vb9zBs2DChXbt2t33+5sxXr14VBEEQcnJyBCcnJ2HIkCHltktMTBQcHR2FsWPHlj124zPlt99+K7ftkCFDhObNm9/xuERElblxTrrT143rzppcr97sxrVyQkKCAED466+/yp7r0qWL0KBBA6GkpKTssfz8fMHb27vC9XdYWJgwdOjQsu+vXr0qABDatGkjGAyGsscPHTokABB++eWXsscqu54HIMycObNC3rCwMGH8+PEVfkaPPfZYhW1vPHf8+PEKx//pp58q/XlQKbbc1iPhlrtUt7py5QrGjh2LwMBAKBQKKJVK9OrVCwAqdCMDgEceeaTc92PHjgVQ2joBAOvWrYNMJsOjjz5a7m5ZYGAg2rZtix07dlSZed26dfD09MTw4cPL7aNdu3YIDAws20e7du2gUqnw5JNP4qeffqrQjYSISAw3zruxsbG4cOFC2Xnz5vPZkCFDkJKSgosXL5Z77a3n2G7duiEsLKzsHHuDl5cX+vbtW+6xdevWoXXr1mjXrl25Yw0aNAgymazs3Hnj7vuDDz6I3377DUlJSRXeQ+fOnXHy5ElMmzYNmzZtQn5+fpXve//+/SgpKSnXBQ4AQkJC0LdvX2zdurXc4zKZrEIvoaioKCQkJFR5LCKi2/n5559x+PDhCl89evQo26Ym16vp6emYMmUKQkJC4ODgAKVSibCwMAD/XSsXFRXh8OHDuP/++6FWq8te6+bmVmlvyNsZOnQoFApF2fdRUVEAYPbz4gMPPFDhsYcffhj+/v7lWm+//vpr+Pn5VeilSeWxuK0nRUVFyMrKQoMGDSp9vrCwEHfffTcOHjyIDz74ADt27MDhw4fxxx9/AEBZ998bHBwc4OPjU+6xwMBAAEBWVhYAIC0tDYIgICAgAEqlstzXgQMHKh2fcKu0tDTk5uZCpVJV2EdqamrZPho3bowtW7bA398fTz/9NBo3bozGjRuXGxNGRFSfbj7v3ujW9tJLL1U4l02bNg0AKpwTb5xTb33sxjn2hspmKE5LS8OpU6cqHMvNzQ2CIJQdq2fPnlizZg0MBgMee+wxBAcHo3Xr1uXGWr3++uv44osvcODAAQwePBg+Pj7o16/fbZfYAP77HKgsW4MGDSq8B2dn53IXgQDg6OgIjUZz22MQEVUlMjISHTt2rPDl4eFRtk11r1dNJhMGDhyIP/74A6+88gq2bt2KQ4cOlY2DvXGtnJOTA5PJdNtzeHXdep3t6OhY7jjmUtl52tHREU899RRWrFiB3NxcZGRk4LfffsPkyZPLclDlOFtyPVm/fj2MRiN69+5d6fPbtm1DcnIyduzYUdZaC+C2Y6oMBgOysrLK/eGlpqYC+O+P0dfXFzKZDLt37670D6E6fxy+vr7w8fHBxo0bK33ezc2t7P/vvvtu3H333TAajThy5Ai+/vprTJ8+HQEBAXjooYeqPBYRkTndfN719fUFUFoo3n///ZVu37x583Lf3zin3vpYkyZNyj1W2ayWvr6+cHJywuLFiys91o08ADBixAiMGDECWq0WBw4cwMcff4yxY8ciPDwcXbt2hYODA1544QW88MILyM3NxZYtW/DGG29g0KBBuHbtWqUzM9/4HEhJSanwXHJycrnjExGJqbrXq2fOnMHJkyexZMkSjB8/vuz52NjYctt7eXlBJpPd9hxuaY6OjpVOxnfrTcUbbjcz8tSpU/HJJ59g8eLF0Gg0MBgMmDJlilmz2iIWt/UgMTERL730Ejw8PPDUU09Vus2NX+xb/6hvnuXzVsuXL8dzzz1X9v2KFSsAoKyAHjZsGD755BMkJSXhwQcfvGNGR0fHSu9EDRs2DL/++iuMRiO6dOlyx33coFAo0KVLF7Ro0QLLly/HsWPHWNwSUb269bzr5+eHpk2b4uTJk/joo4+qtY/ly5eX6y62b98+JCQkYPLkyVW+dtiwYfjoo4/g4+ODiIiIah3P0dERvXr1gqenJzZt2oTjx4+ja9eu5bbx9PTEqFGjkJSUhOnTpyM+Ph4tW7assK+uXbvCyckJy5Ytw+jRo8sev379OrZt24ZRo0ZVKxMRkaVV93q1utfKLi4u6Ny5M/744w98/vnnZb1SCgoK8Pfff5s5fUXh4eE4depUuce2bduGwsLCGu0nKCgIo0ePxrx586DT6TB8+HCEhoaaM6pNYnFrZmfOnCkbK5Ceno7du3fjxx9/hEKhwJ9//nnbdQi7desGLy8vTJkyBTNnzoRSqcTy5ctx8uTJSrdXqVSYPXs2CgsL0alTJ+zbtw8ffPABBg8eXDaOoXv37njyySfx+OOP48iRI+jZsydcXFyQkpKCPXv2oE2bNpg6dSoAoE2bNvjjjz8wf/58REdHQy6Xo2PHjnjooYewfPlyDBkyBM8//zw6d+4MpVKJ69evY/v27RgxYgRGjhyJBQsWYNu2bRg6dChCQ0Oh0WjKWiz69+9vgZ80EVGp6p53Fy5ciMGDB2PQoEGYMGECGjZsiOzsbJw/fx7Hjh3DqlWryu33yJEjmDx5MkaPHo1r167hzTffRMOGDcu6Md/J9OnT8fvvv6Nnz56YMWMGoqKiYDKZkJiYiM2bN+PFF19Ely5d8M477+D69evo168fgoODkZubi7lz55abc2H48OFla/n6+fkhISEBc+bMQVhYGJo2bVrp8T09PfH222/jjTfewGOPPYaHH34YWVlZeO+996BWqzFz5sw6/tSJiMyjuterLVq0QOPGjfHaa69BEAR4e3vj77//RkxMTIV9vv/++7jnnnswYMAAvPjiizAajfj000/h4uKC7Oxsi76fcePG4e2338Y777yDXr164dy5c/jmm2/KdcWurueff76scakmMz3bNTFns7Ilt84Kp1KpBH9/f6FXr17CRx99JKSnp5fbvrLZ1fbt2yd07dpVcHZ2Fvz8/ITJkycLx44dEwAIP/74Y9l248ePF1xcXIRTp04JvXv3FpycnARvb29h6tSpQmFhYYVsixcvFrp06SK4uLgITk5OQuPGjYXHHntMOHLkSNk22dnZwqhRowRPT09BJpOVy6bX64UvvvhCaNu2raBWqwVXV1ehRYsWwlNPPSVcvnxZEITSme5GjhwphIWFCY6OjoKPj4/Qq1cvYe3ateb48RIRVVDT864gCMLJkyeFBx98UPD39xeUSqUQGBgo9O3bV1iwYEGF/W7evFkYN26c4OnpWTbz8I1z3g29evUSWrVqVWm+wsJC4a233hKaN28uqFQqwcPDQ2jTpo0wY8YMITU1VRAEQVi3bp0wePBgoWHDhmX5hwwZIuzevbtsP7Nnzxa6desm+Pr6CiqVSggNDRUmTZokxMfHV8h8Y7bkGxYtWiRERUWVHX/EiBHC2bNny21z4zPlVlXN6k9EdDtVzWZf2Sod1blePXfunDBgwADBzc1N8PLyEkaPHi0kJiZWOkPx2rVry85/oaGhwieffFLpee12syV//vnnFXLfepzK9qfVaoVXXnlFCAkJEZycnIRevXoJJ06cuO1syXea8V8QBCE8PLxs1n+qmkwQqpjCl4iIyI4sWbIEjz/+OA4fPoyOHTuKHYeIiCRqxowZWLp0abUmaa2NU6dOoW3btvj222+r1WuI2C2ZiIiIiIio2tLT07F//3788ccfFeZGMIe4uDgkJCTgjTfeQFBQUIVl3ej2uBQQERERERFRNW3YsAGPPPIImjZtapFlL99//30MGDAAhYWFWLVqVaWz4lPl2C2ZiIiIiIiIrB5bbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnosbomIiIiIiMjqsbglIiIiIiIiq8filoiIiIiIiKwei1siIiIiIiKyeixuiYiIiIiIyOqxuCUiIiIiIiKrx+KWiIiIiIiIrB6LWyIiIiIiIrJ6LG6JiIiIiIjI6rG4JSIiIiIiIqvH4paIiIiIiIisHotbIiIiIiIisnoOYgegmtMZTMgs1CK7SIesIh3ySvQwGE0wmASYTAKMggCjqfRLBsBNrYSnc+mXh5Oq9P+dlHBQ8N4GEZG5GIwmZBfrkFOkR3aRDjnFOuQW66E3mmA0CTAJAgBAIZfBQS6Do1IBL2cVvF3++/JwUor8LoiIbItGb0RSbgmyCnXQ6I3QGkxl/9UajNDoTdAbTVA7yOGqVsJN7QA3Rwe4qZVwVTvATe3A62YrwuJWoowmAVczi3A+JR8XUvNxOa0QyXklSM3TIKtIh3+vkerEw0mJcF8XNPZ1QWN/VzT2c0EjP1eE+7hA5cA/YCKiWxXrDIhLL0JcRiHiMgoRm16IKxlFSM4tQYHWUOf9KxUyeDqrEOLlhCb+rmjs54om/qVfIV7OkMtlZngXRES2JaNAi7PJeUjMLsb1nBIk5ZTgem4JknKKkVmoq/P+FXIZAt3VCPF2Qqi3MyJ8S8/LTf1dEerNc7OUyATBHGUS1dXF1AIcuJKFc8n5OJ+aj0tpBdDoTaJkUchlCPNxRrsQT0SHeaFjmDeaBbhCJuMfLhHZD5NJwMW0AhyOz8ahq9k4npiL5LwSs9xcrA1HBzma+LuiY5gXOkV4o3OEN/zd1OKEISISSYnOiOPXcnAsIQcnruXhTFIeUvM1ouVRK+WICvZE53BvdIrwRnSYF1wd2X4oFha3IknP12BPbCb2XM7EnthMpBdoxY50R17OSnSJ8EHXxj7o2cwPEb4uYkciIjK7M0l52BObiUNXs3EkPhv5mrq3xlpShK8LOoV7oUuED+5u5stil4hs0unreYg5l4qdlzJwNjkfBpN0yxeFXIaWQe7oFO6NzhFe6NbEF+5qDjmpLyxu69GZpDysPZmMnRczcDGtQOw4ddIi0A1D2gRhSJsgNPF3FTsOEVGtGE0CDlzJwqazqdhyLg3JeeLd/a8rmQxoF+KJAS0DMLh1EG9CEpHV0htNOHAlC5vPpmHL+TSkWPG5WaWQo0dTXwxtE4SBrQLgxkLXoljcWlhSbgnWHE/CmuNJuJxeKHYci2geUFroDo0KRBN/N7HjEBFV6XB8Nv46kYSNZ1LNMh5Lilo1cMewqAYY0a4BGng6iR2HiOiOTCYBOy6l48/jydhxMR0FEu85UxsqBzl6NvXF0KggDGgZyO7LFsDi1gIKtQasP5WMP44l4VB8tmjjs8TQNtgD47uFY1hUA05KRUSSUqDR449jSVh+MAGX0mzzZmNlFHIZ+jT3x7iuYejZ1JfzJxCRpGQUaPHbkWtYcTARSbklYsepN44OcgxsFYjHu4ejQ6iX2HFsBotbM7qWXYwl++Lx2+FrZpk105r5ujpibOcQPHpXGPzdOQaMiMRzPiUfSw8k4K/jSSjSGcWOI6oIXxc80iUUo6ND4OHMrnFEJJ4DV7Kw7EACNp1Nhd5o3+VIuxBPTOwRgSGtA7nkUB2xuDWDM0l5mL8jDhvPpsIo4QHuYlAqZLindRAmdg9He96VIqJ6tOtSBr7edhmH43PEjiI5aqUcI9sH45m+TdCQXZaJqJ4YTQL+OHYd3+26YrPD9eoiyEONR+8KwyNdQuHprBI7jlVicVsHR+Kz8b9tsdh1KUPsKFahXwt/vHxPc7QIdBc7ChHZsH2xmfhqyyUWtdWgUsjxYKdgPNOnKQI92MuGiCxDEASsO5WCr7ZcwpWMIrHjSJ6TUoGHO4fi6T6N4ePqKHYcq8LithbiM4vw0Ybz2HwuTewoVkcuA+5t2wAvDGiOUB9nseMQkQ05eCULX225hANXssWOYnUcHeR4uHMopvVpzOWEiMisYs6lYfbmi7iQat0rhYjB1dEBE3tE4MmejTj5VDWxuK2BvBI9/rf1Mn7eH2/3YwPqSqmQ4aFOoXi2XxNeSBFRncRlFOLdtWex+3Km2FGsnpNSgYk9wvFMn6ZwUinEjkNEVmxvbCY+33QRJ67lih3F6vm6qjBjQDM81CkUCjknBbwTFrfVYDCasPRAAv639TJyivVix7EpzioFnuvXFJN7RHAAPRHViEZvxDfbYvHdrivQGU1ix7EpwV5OeHd4K/RvGSB2FCKyMql5Gry79iw2nk0VO4rNaRHohreHtUT3Jr5iR5EsFrdVOJqQg1dWn0QcxwdYVItAN3w4sg2iwzjpFBFVbduFNMxcexbXsu1n2QgxDGgZgPfubcV1comoSkaTgCX74vFVzCUU2vmqIZY2KjoY7wxvCXc1Z72/FYvb29AajPgy5hK+33UFnAC5fshkwPiu4Xj1nhbsDkdElUrJK8HMv85yzoN6xB42RFSVS2kFeHn1KZxkF+R6E+Shxsf3t0Hv5v5iR5EUFreVOJOUhxd/O4mLaRz4LoZQb2d8+kAUujb2ETsKEUnI3yeT8eafp5GvYYuAGNqFeGLOmHYI93UROwoRSYTBaML8HXH4elssh4eIZEzHELw1LBJubMUFwOK2HIPRhG+2x+Lb7bGcMEpkchnwTJ8mmN6/GeQcOE9k1wo0erzz11n8eTxJ7Ch2z1mlwMzhLTGmU6jYUYhIZGn5Gjyz4hiXXZOABh5qfDoqCnc39RM7iuhY3P4rJa8EU5YdY3cKienRxBdzH2rHNb6I7NSZpDw8veIYErKKxY5CN7m3bQN8dH8bLk1BZKf2xWXiuV9OILNQK3YUusmUXo3xyqDmdt0wxOIWwOH4bExddox/oBIV6K7Gt4+0R3SYt9hRiKgeLd0fj/fXn4fOwK5uUtTI1wXfPtIBkUHuYkchonoiCALm74zD7M2XYOSkNJLUu7kf5j7UHh5O9tlN2e6L2+UHE/Du2rPshixxDnIZXhvcApPvbiR2FCKyMIPRhHf/PotlBxLFjkJVcFYp8PXD7dEvkksGEdm6vBI9XvztBLacTxc7ClUhwtcF3z8WjSb+bmJHqXd2W9zqjSbMXHsWKw7y4sma3Nu2Ab4Y3RYqB87YSWSLCjR6PL3iOHZdyhA7ClWTXAa8NbQlJvaIEDsKEVnIpbQCTP7pCBKzOUTEWrg6OuCrMe0wwM7WK7fL4jarUIspy45yALyVurupLxY8Gg0XjvUisinXc4oxackRzlRvpR7rGoaZw1tBYcdjvYhs0bHEHExcchi5xXqxo1ANyWTA9H7N8Hz/pmJHqTd2V9wm55bg0R8O4kpGkdhRqA6igj3w44ROnGiKyEacuJaLyT8d4dwHVq5Pcz98PbYDJ5oishG7LmVgyrKjKNYZxY5CdTDurjDMGtEKMpnt33y0q+L2SkYhxv1wCEm5JWJHITOI8HXBzxM7I8TbWewoRFQH++IyMWnJEZToefFkC9o09MCySV3g4Wyfk5kQ2Yp1p5LxwsqTXL/WRjzYMRif3B9l8zMp201xeymtAGO/P8hWARvjYbknTwABAABJREFU5+aInx7vjJYNOFsnkTXaF5uJST+xsLU1bRp6YNnkLnY7WyeRtVt2IAHv/HUGnBDZttzXrgFmP9jOpoeP2MWsPOdT8vHwdwdY2NqgjAItxi46gIupHKNHZEnz5s1DREQE1Go1oqOjsXv37jrvc19sJib+dJiFrQ06nZSHRxcdRF4Jx+gRWZtvt8firTUsbG3RmhPJePaXY9DbcGu8zRe3F1LzMfb7A8gq0okdhSwkt1iPcT8cRGIWZ/AjsoSVK1di+vTpePPNN3H8+HHcfffdGDx4MBITaz/b/N5/C1uN3nY/YO0dC1wi6/Pz/nh8vumi2DHIgjacTsXUZcegNdjmjWWb7pacnFuCkfP2Ii2fLbb2INTbGaundIW/u1rsKEQ2pUuXLujQoQPmz59f9lhkZCTuu+8+fPzxxzXe3764TExcwsLWXrCLMpF1WH8qBc/+cowttnZiYMsALHg02ubG4Npsy21eiR4TfjzEwtaOJGYXY9wPh5BbzFZ6InPR6XQ4evQoBg4cWO7xgQMHYt++fTXe36W0Ajz181EWtnbkdFIepi47atPd4Iis3b7YTMxYeYKFrR3ZfC4NM9eeFTuG2dlkcas1GPHkz0dwKa1Q7ChUzy6mFWDCj4dRrDOIHYXIJmRmZsJoNCIgoPwi8AEBAUhNTa3RvjIKtHj8x8Mo0PLv097si8vCW3+eETsGEVXiTFIenlp6lLMi26GlBxLw7fZYsWOYlc0Vt4Ig4KVVp3DwarbYUUgkJ67l4unlx2Di7Ucis7l1bTxBEGq0Xp5Gb8Tkn49wKTY7tvLINczfESd2DCK6SUJWESbwpqNd+2LzRfx9MlnsGGZjc8XtJ/9csKl/IKqd7Rcz8PlmTohAVFe+vr5QKBQVWmnT09MrtObejiAImP7rCZy8lmuBhGRNPtt0Af+cThE7BhEByNfoMeHHw1xNxM4JAvDSqpM4YSOf0TZV3K49mYyFu66IHYMkYv6OON7oIKojlUqF6OhoxMTElHs8JiYG3bp1q9Y+Ptl4ARvP1qwLM9kmQQBm/MYbHURiEwQBL6w8iauZRWJHIQnQGkx44ucjSMmz/t5VNlPcXs0swht/nBY7BknMq7+fwuU0roFLVBcvvPACFi1ahMWLF+P8+fOYMWMGEhMTMWXKlCpfu/FMKhbu5E1H+o9Gb8LUZUeRwyX6iEQzb0cctpxPEzsGSUhGgRbP/XIcRisf1mcTxa3WYMTTy4+hkOMF6BbFOiOmLDuKIv5uENXamDFjMGfOHMyaNQvt2rXDrl27sGHDBoSFhd3xddeyi/HK6pP1lJKsSXKeBi+uOgkbXo2QSLL2xWViNoduUSUOx+fgm23WPcGUTaxz+/aaM1h6IEHsGCRh97ZtgP893F7sGER2w2A04YEF+9n9lO7ozSGReKJnI7FjENmN7CIdBs/dxaUy6bYUchl+e+ouRId5ix2lVqy+5Xb9qRQWtlSltSeTse4Ux98S1ZevtlxiYUtV+nzTRZxNzhM7BpFdEAQBL/52goUt3ZHRJOD5X08gX6MXO0qtWHVxez2nGK/9cUrsGGQlZv51FlmcEZDI4g5dzeaSL1QtOqMJ0389AY3eKHYUIpu37EACtl/MEDsGWYHrOSV400rXJheluJ03bx4iIiKgVqsRHR2N3bt312o/7/x1FgUajqWk6skq0mHm2rNixyCyaRq9ES+tOgkrn4+C6tHl9EJ8sYnj/4gsKS1fg8828u+Mqu/vk8lYffS62DFqrN6L25UrV2L69Ol48803cfz4cdx9990YPHgwEhMTa7SfDadTsO1CuoVSkq1adyoFG89wSRIiS/l622UkZheLHYOszI/74nEuOV/sGEQ2672/z6KAk2tSDc362/p6PdZ7cfvll19i0qRJmDx5MiIjIzFnzhyEhIRg/vz51d5HgUaP9/5mCxzVzltrziC3mEtQEJlbbHohvt91VewYZIWMJgFvrTnN2ZOJLGDbhTRsOM0b+1Rz+RoDPt14QewYNVKvxa1Op8PRo0cxcODAco8PHDgQ+/btq/Z+vth0kYPhqdYyC7WY9fc5sWMQ2Zy31pyGzmgSOwZZqWOJuVh5+JrYMYhsSonOiLfXsEGIam/V0es4YUUTRNZrcZuZmQmj0YiAgIByjwcEBCA1tXp3lE5ey+XsyFRnf55I4kyuRGb0+9HrOHAlW+wYZOU+2XgB2UXsWUNkLl9tuYSk3BKxY5AVEwRg5l9nrKZnjSgTSslksnLfC4JQ4bHKCIKAN9ec5kQlVGeCAHz8z3mxYxDZhLwSPT7awL8nqrvcYj0+5u8SkVlcSM3H4j0cKkJ1d/J6Hn47Yh09a+q1uPX19YVCoajQSpuenl6hNbcyf51IxpkkTjhB5nHgSja2nk8TOwaR1Vu4Mw5ZbG0jM1l97DrOp/CznqiuPt94EQa2CJGZfLbxIvJKpL/2bb0WtyqVCtHR0YiJiSn3eExMDLp163bH1+qNJnwZc8mS8cgOfbrxAow88RPVWlahFkv2xYsdg2yIIABf8fOeqE5OXsvFVq4qQmaUVaTD/7ZeFjtGleq9W/ILL7yARYsWYfHixTh//jxmzJiBxMRETJky5Y6v+/XwNS4vQWZ3Ka0Qq6ykmwWRFC3YGYdinVHsGGRjNp9Lw5mkPLFjEFmtr7bwBhGZ34qDiZJfGqjei9sxY8Zgzpw5mDVrFtq1a4ddu3Zhw4YNCAsLu+1rtAYjvt0WW48pyZ58teUSSnhxTlRj6fkaTvBHFsPWW6LaOZaYgx0XM8SOQTaoRG/EDxIfxy3KhFLTpk1DfHw8tFotjh49ip49e95x+98OX0Nqvqae0pG9ScvXYvWx62LHILI683bEQaPn0j9kGVsvpFvV8hNEUsEbQ2RJSw8kIF8j3bG3ohS3NaEzmDB/R5zYMcjG/bjnqtVMcU4kBSl5JVhxKFHsGGTjeJFOVDOH47Ox+3Km2DHIhhVoDFi6X7q9thzEDlCVf86kIDmPrbZkWVcyi7DtQjr6RVY9azcRAUv3J0BnqH2r7fX5E2HMrzjZiWv7ofAZOBXGohzk7FgCTfxxmDRFcAxpBe/+T0Hp3fC2+xSMBuQdWIWiM1thKMiC0rshvHo/DqdG0WXbFJ7djtydP0HQa+AaNRBefSaWPWfIS0PayrcRNH4O5I7OtX5vZD47L2XgUloBmgW4iR2FyCpYw4Q/ZP0W77mKid0j4KRSiB2lAsm33C7jeC6qJ1IfQ0AkFTqDqc7r3QWN/wrBTy8t+/If8wEAwKVFdwiCgPQ/PoAhNxV+97+FoAlz4eDuj7SVb8Gku/3NztzdS1F44h94938KDSbPh1v7Icj480Po0kp7/xiL85C98Wt49ZkI/wdnofDMVhTHHS57fdamefDqNYGFrcRIuYWASEoSsoqwJ5attmR5WUU6/CLR3luSLm4vphbgcHyO2DHITuyLy8K5ZK6tSFSVDadTkFlYt3VtFc4eULh6lX2VxB6Cg2cQHEPawJCTDF3yRXgPnAbHoGZQ+gTDe+BUCDoNis7vvO0+i85uh0fXB+HUuBOUnoFwaz8E6ogOyD/0JwDAkJsKmaMzXCJ7wjGoGdShUdBnln44F53bAZnCAc7N77wsHdW/P48noUhrEDsGkeT9cugaOMKK6ssPe67CJMHlNCVd3LLVluobW2+JqmbuGZIFox5F53bANWoAZDIZBGPpRBUyB1XZNjK5AjKFA7TXz91+PwY9oFCVe0zmoILm39c4eDeEoNdClxYHY0kBdCmXoPILh7GkALm7l8N7wJ2XpCNxFGoN+ON4ktgxiCRNbzRh9VEubUj1Jym3BLsuS29WbskWt0VaA/7khxnVs79PJiOnqG4tUkS27GxyHo4mmLdHTfGlAzBpCuHSuh8AQOkdDIW7P3J3/gSjphCCUY+8A6tgLMqBsTD7tvtRR3RAweE10GcnQRBMKLl6HCWXD8JYVPoahdoVvkNnIHPdl0j9+QW4tO4Lp0bRyNn+A9yih8GQl4bkH59D8g/TUHRhj1nfI9XNct7sJhs3b948REREQK1WIzo6Grt3767R6zefTatzjxqimlp5WHo3VCQ7odSfx5NQyG5IVM90RhPWnUrGuK7hYkchkiRL9KgpPLUZTo2i4eDmAwCQKRzgN/INZP0zF9fnPgTI5FCHt4P6pomhKuPd/0lkbfwayYumAgAcvILg0qY/ik5vKdvGuVk3ODf7r+uxJvEU9BkJ8B4wBcnfPQnf4S9D4eKFlJ9fgDqkNRQunmZ/v1RzF1ILcOhqNjpHeIsdhcjsVq5cienTp2PevHno3r07Fi5ciMGDB+PcuXMIDQ2t1j6kOv6RbNuW82nIKtTCx9VR7ChlJNty++th/pGSONj9jahyWoMR606mmHWfhrx0aBJOwrXtoHKPOwY2QYPHv0bI9JUIfmYpAh6cBVNJARw8Am+7L4WzB/zvfwuhL6xGw6mL0WDyAshVajh4VD4LumDQI3vzfHgPehqGnBQIJiPUoW2g9AmG0rshtCkXzfpeqW5W1XESMyKp+vLLLzFp0iRMnjwZkZGRmDNnDkJCQjB//vxqvT4xqxh74ziRFNU/vVHA3yeTxY5RjiSL22vZxTiTVLuJfQSTETm7luL6gklInH0/khZMQu7eXyAIlS9ZkbXxGyR8Ogz5h/+6836NBuTu/QVJCycj4YuRSF78DEquHC23TeHZ7bg+bwKuzX0IOdsXl3vOkJeGpO+ehElbXKv3RfXneGIu4jOLxI5BJDk7LmagwMw9agpPx0Dh7AGnxp0qfV7u6AKFswf02UnQpcbCuWmXKvcpc1DBwc0XMBlRfHEfnG7zmtx9v0LdKBqOgU0AwQSYjGXPCSYDYKr9UkdkfpvOptZp+SkiKdLpdDh69CgGDhxY7vGBAwdi37591drHb0c4kRSJ5y+JFbeS7Ja86WxqrV+bf2A1Ck/8A5+hM6DyDYU25TKy/pkLuaMz3DuOKLdt8aX90KZchMK16m5OubuXoujsdvjc8ywcfEKguXoMGX9+iMBHP4cqoHHZEhM+Q6bDwTMQ6avfg2NoGzj/e8HGJSasy/rTKXi6TxOxYxBJirnvzgqCCYWnt8CldT/I5OXXyiu6sAcKZ3co3P2hz4hH9pbv4Nz0LjhFdCjbJnPdbCjcfODVawIAQJt8EcaCLCgDGsFYkIm8vSsAwQSPLg9UOLYuIwHFF3YhaMLXAAAH72BAJkfByc1QuHpBn3UdqqCmZn2/VDf5GgN2X87geuRkUzIzM2E0GhEQUP73OiAgAKmp1bse/ueMeXvUENXE8cRcJGQVIczHRewoAGywuNUmX4BTky5lRaWDRwCKz++CLjW23HaGgkxkxyyA/4OzkL76vSr3e/MSEwCgbD8EJVePIf/Qn/Ad/lK5JSYA/LfERONOXGLCCm1gcUtUjkZvxPYL6ebdZ/wJGPMz4Bo1oMJzxsJs5GxbBGNRLhSuXnBt1Rce3R8qt40hPwOQ/dcBSTDokLt7KfS5qZCrnODUKBo+Q1+EXO1a7nWCICB70zfw6vsE5Co1AECudITPkOnIjpkPwaiH94Appa2/JCnrT6ewuCWbJJPJyn0vCEKFxyoTm16IuAz2NiNxrTslnetmyRW3mYXaOs3E6RjcEgXH/4E+OwlK74bQpV+B5vo5ePd7omwbQTAhc92XcO9yP1R+YdXab02WmFC4+0OXcgmubfqXLTER8PBHtX5PVP/OJudL6i4Ukdj2xmaiSGesesMacIrogLBX11X6nHvHe+He8d47vj5w7CflvleHtkGDyVWPUZPJZAh89PMKjzs36QznJp2rfD2JZ9uFdBhNAhTyqi/6iayBr68vFApFhVba9PT0Cq25lalLgxCRuey8lMHi9nZizqWhLusBu3cZBZO2CMnfTwHkcsBkgmfPcXBp2atsm/wDqyGTK+AWfecLp5vdWGJCHdIKDl5B0MSfRMnlgxCE0ou9m5eYEAy6siUmMjfMKVtiIv339wGTAR7dx8KlRY/av0mqF9supOPx7hFixyCShM1n08SOQITcYj0OXc1G18Y+YkchMguVSoXo6GjExMRg5MiRZY/HxMRgxIgRd3hlqa3neW4m8R1PzEGR1gAXR/FLS/ET3KKud6CKz+9C0dkd8B3+EpR+YdClXUHO1u+hcPWBa5t+0KbGIv/oWgSNn1ut7h43cIkJ+7M/LovFLdG/tl80b5dkotradiGNxS3ZlBdeeAHjxo1Dx44d0bVrV3z33XdITEzElClT7vi63GIdTlzLrZ+QRHegNwrYH5eF/i3FHzYiqeJWazBiX1xWnfaRs+NHeNw1qqylVuUXDkN+OvIOrCotbq+dhakoD0nzH//vRYIJOdt/QP6RvxA8dXGl+72xxIRg0MFYkg+Fqw9ydy6pcokJn2EvlltiAkDZEhPOTaqe9ZPEc/BqNkwmAXJ2fyM7dzWzCOkFWrFjEAEoPTcT2ZIxY8YgKysLs2bNQkpKClq3bo0NGzYgLOzOQ+d2Xc6sU29HInPafTmDxe2tziTl1Xmaf0GvLTfBCADIZPLSZR4AuLTuA3V423LPp//2Dlxa9YVrm/5V7v/GEhOC0YDii/vgfJvuxTcvMaFLi+MSE1Yor0SPcyn5aN3QQ+woRKI6dLVuNx2JzOlscr5kur8Rmcu0adMwbdq0Gr1m16UMC6Uhqrndl6Wx1rKkPhmOxNd+IqkbnJp0Rt6+lVC4+0HlGwpdWhzyD68pm41T4eQOhZN7+RfJHaBw8YLSJ7jsIS4xQUBp12QWt2Tv2FJGUmI0CTiakIOezfzEjkIkqmN1mICVyNyuZBbhek4xgr3EXfZUUsVtXWZJvsG7/1PI3b0M2ZvnwVScB4WrN1zbDYbnLUtIVIVLTBAA7IvLxBM9G4kdg0hUh1jcksQcjs9mcUt2LV+jx9Ws2i0BZNIWI3f3MhRf3g9TcR5U/o3g1f9JOAY1A1B6LZu3dwUKT26CSVMIVVAzeA+YescVRlJXvAbttTMVHndq1BH+o98FABSe3Y7cnT9B0GvgGjUQXn0mlm1nyPs/e/cdHUX5dwH8bt/03iuE3kLovSqIgBRRFOmKClZQf3axoCg2fEUFGwgioKKgoChKVQFpAaT3ACG9b8q2ef+IiYQE0nbzzO7ezzk5ms3szN2QnZ3vPC0VqaueR9ik+VDqxBZHVHd/nMzAHV2ihWZQSJIkm976neZsREaBUXQMonKeOjUOzB7EZSfIZSXnFKHH65tExyCqoGsjf6y6r7voGETC/HUqA+M+3VWn56avfaN0wtPBM6Dy9Ifh8Gbk7V6L8Hs+hNorELk7v0XujlUIvHkm1P7hyP1rFUouHkb4PQuvWXhaivIBi/mK7/NwefFDCBjycOnSmIWl890E3Pwo1L6hSPv2JQTc/Cjc4zoDAFK/ng2v+MFwb96jyv2TYxjXNRqvjWorNIOy+k0axrkMAwtbkp2CEjPOZhSIjkEkzO5zbLUl+Um8kFPvOTqIHNnBS7l1ep7VVILC43/Ct/8U6KPaQOMXDt9ed0HtG4L8/T9DkiTk71kLn+5j4d68B7RBsQgcOgtWUwkMR7dec78qNy+oPP3Kv4rPJUKh0cG9eencNOacFCh07vBo2Qe6sGbQR7eDKSMJAGA4sgUKlZqFrRM4djlPdAT5FLe26JJMZA8nUlnckus6lpIvOgJRJSVmK06n89xMruvQxboVt7BaAMkKhUpT4WGFWouSi4dhzk2FxZANt0YJV/xMA31UG5RcOlrjwxQc/BUeLfuUD9FT+0dAMpXAmHoalqJ8GC+fgDYoFpaifORsXw7/G6+/7BE5hhOpBRDdKVg2xe3hZPGVPlFVTqTy4p5c10ne3CGZYnFLruzgpZw6PU+pc4cuvAVy/1oJc34mJKsFBYc3w5h8AhZDNiwFpY1NSnffCs9TefiW/6w6JcnHYco4D892g/57vt4TgUNnImPdO0hZOgsebQbArXFHZG/+DF4dh8Gcm4rkxQ8j+bMZMBz7o06vjcQrKDHjQlaR0AyymVDqFD+kSKZ4cU+ujAUEydWpNP5tkmvKNhjrVUAEDHsMmT+/h0sfTgIUSmhD4+DRqm/p0pVlFFfNNSJJlR+7hoKDG6EJjIEuvHmFx92b9YB7s/+6HhcnHSwd+3vj/Uj++F4EDn8CKg8/XF46C/qoNlB5+Nb1JZJAR1PyEB0gblIw2RS3Z3gBRTLFlltyVSVmC5KyCkXHIKoSi1tyVfW9LtH4hSF03OuwGothNRZC7emP9LVvQO0TApWnHwDAasgGPP3Ln2MpzK1RsWk1FcNwdBt8e9913e0kswlZv36EgGGPwZx9GZLVAn106UREGv8IlFw+DvcmXev+IkmYY5fzMbh1qLDjy6JbcrHJguQcsU3YRNdyLtMAk4UTl5DrOZdRCItVNhPqE1VwOr1uy6AQObrLucU22Y9Sq4fa0x+W4gIUnd0Ht6bdSgtcDz8Undtfvp1kMaH4wj/QRbSsdp+Fx/6AZDHBo3X/626X89dK6Bt3hC60CSBZS8cClx3PagasvO5yVEcFTyoli5bbi9lF4PUTyZXJIuFshgHNQrxERyFqUGwZIzk7k14Aq1WCkku1kYtJzq1fg1DRmb0ASid5MmdfRvaWz6Hxj4Bn2xugUCjg1WkEcnd8A41fONR+4cjd8Q2UGh08WvYt30fGureh8gqAX9/JFfZdcPBXuDftBpWb9zWPb0w/j8Jj2xA2+f1/c0QCCiXyD/wKlacfTJkXoQ1rWq/XSOKcq+P6y7Yik+KW3d5I3pJziljckss5n8WWMZKvErMVyblFiPQTN7aLSITLOfVrubWWFCJn2xcw52dApfeCe/Me8O0zEQpVaVng3fVWSOYSZP36ESzFBdCFN0fw7S9XWOPWnJcOKCp2ADVlXULJxSMIvv2Vax5bkiRk/bIAfgOmlc+krNToEHDzo8ja+BEkiwn+N94PtVdgvV4jiSN6aVdZFLcXstklmeQty8A1mMn1ZHLtcZK5zAIji1tyOZfr2XLr0bI3PFr2vubPFQoFfHvdBd9e1x43Gzru9UqPafwjEPPkuuseW6FQIHT8m5Ued2/SBe5Nulz3ueQYsguNQnvVyGLMbXp+iegIRNfFi3xyRbypQ3KXVci/UXI9yfVsuSWyJ4tVEnpulkVxm19sEh2B6LoyeZFPLoh/9yR32fwbJRdU35ZbInvLKBDXcCmT4tYsOgLRdWUZ2LuAXA8LB5I79i4gV1NssiC7kI1CJG8iezzKorgtYHFLMsduyeSKWDiQ3GWzWzK5mCKjpfqNiARjy20J70CRvLF7JrmiTPZYIJnLMvD6gVyLycL1X0n+RM6YLIvili23JHe8U0quRpIkFJt4EUXyZijh9QO5FiOLW3IAJWZx182yKG455pbkziJJoiMQNSizlX/zJH88N5OrMVn4N0/yZxH4dyqL4pZ3oUjuLLzQJxfDv3lyBCIvoIhEYLdkcgQib5CrhR35ClqVLGpsp/J5078QjnTRMZyG5B4AoJ/oGEQNhg1ithekNWFZzE+iYzgX/zYAOopOQdRgjGYWt7bmpzFjQeyfCECO6ChOQ+s+GEAzIceWR3GrZnFra5sNMXg5+yMoJI4VtYnAZgDmik5B1GAUCtEJnE+6UYNGBYnQZR8XHcV5eHK9T3ItbLm1vWyTGk9f7IplEWsQc/EH0XGcQ+NGwg4ti6qSxa3tLUuOwK7IKaJjOA+lRnQCogalUrK6tYdEz96iIzgXpUp0AqIGpeCdR7tIKtKj76k7MD94DiyeYaLjOD6luPZTWVSV7JZsHxNO90dBMLtr2YRKFp0ciBqMmsWtXSzNaSc6gnMReAFFJIKHljd07Gl+UmP0KpiL05GjRUdxbAKvm2VRVWpY3NqFyarA5Nx7Iem8RUdxfGy5JRejUCjgpWfhYGvr0wNh8o4RHcN58PONXIyHjudle7tcrMXAU2MwN/B1mL0iRcdxTHofYYeWRVXJbsn2syfXC0v8HxEdw/Fp3EQnIGpw/h5a0RGc0hGfPqIjOA/3ANEJiBoUi9uGs+hiNLrnvopjUWMhgb2ZasXNX9ihZVFVerJ1wK5eOtsS5yJvER3DsXmHi05A1OB83Vnc2sPKgnjREZyHR6DoBEQNykunBkeNNJx0owY3nRyBl/zfgMknVnQcx+Hu4sVtqLdedASnd1vSrXxT1ocPu6WQ6/F3Z3d8e1iZEgaLR6joGM6BLbfkYpRKBfx447HBLUmORJesl3Eo6i5IClmUT/Lm5ifs0LL41wnzYXFrb+lGDZ7CI5A4drRufKJEJyBqcLyAsg9JUuCkf1/RMZyDwNYBIlH8OGREiGyTGsNPDsXTvm/C6NtEdBx5c/VuyWE+HM/YEFanhmBrxDTRMRwTi1tyQbyAsp/VhQmiIzgHttySCwrguVmolZfDkJAxG3ujJkNScPbqKrl8t2S23DaYu0/1QE5od9ExHA+7JZMLCvHWiY7gtJZejoRV4J1tp+ERLDoBUYOL9ncXHcHlGcwq3HpyEGZ6v41i/xY22Wd+iYRHNxQjZn4+3F7NQ4/PDNh9yXLN7f9IMqPn5wYEzCvdvsWCAry7o6TCNhtPm9Hs/QL4vJ6HSWuKYLRI5T/LLZbQ7P0CJOVabZK/nGeI0IlYZVHchvuyuG0oFkmJCZlTeVFVW75suSXX0zjQU3QEp1ViVeJ8AGdNrhetF+AdJjoFUYOLC+a5WS7WpAYjIfVZ7IyaVu+hf/f8WISNZ8xYNsoNh6Z7YlCcCjcsM+BSXtXFp4dGgQc7a7FtsjuOPuCJ5/po8dzmEny81wgAsEoS7vquCPd30uCvqR74+5IFn+w1lT//yd+KcX8nDaJ9bFwOBojtsi2L4jbYSw8Vp35rMIfyPbDQm8sD1ZibH6D1EJ2CqMHxAsq+fjB2Eh3BsQU2FZ2ASIi4IJ6b5aTIosIdJ/tjhsfbKApsU7d9mCSsPmLGvBt06BOjRhN/JV7sp0cjXyU+2mOs8jkJYSrc2VaD1sEqxPoqMb6dFoPj1NieVNram1EoIb1QwozOWrQOVuGWZmocSS/92Z9JZuxJtuCRrnbo4u7f2Pb7rAVZFLcqpYKttw1s3vmmOBF1m+gYjoHjbclFRfu7Q6uSxceEU/o4OQaSlhepdRbUXHQCIiHignjDXY5+Tg9E++SnsC1qOiRV7Yb1mK2ARQL06oqNfW4aBf5IunbX5Cvtv2zBXxcs6BtTOg44yF2BME8Ffj1tRpFJwvYkC9qFqGC0SJi+vhgLh7nZp3GRLbelmod4i47gcm47NxxGP975rhaLW3JRKqUCMQEc22UvBrMKyUG9RcdwXIHNRCcgEiLa3x0aFXs8ylGJVYmJJ3vjbv07KAiq+cSBXjoFukeq8Mq2EiTnW2GxSvjyoBG7LlpwuUC67nMj38mHbk4eOn1iwAOdtbinQ2lrrEKhwNe3ueGVbSVo9WEBEkKVmJqgwet/GDGwkRpuaqDn5wY0X1CABX9X3TpcJwFxtttXHcimuG0V5iU6gsvJNanxqPmhWt9dcjn+jUQnIBKG3d/sa4Ols+gIjovFLbkotUrJSaVkblOmH+IvPoaNkQ9DUtdscqVlo9wgAYh4pwC6Ofn4v11GjGurQXX3MbZP8cCeaR5YOFSP+buMWHHov3G1vaLV2D3NE2cf8cIHQ91wNseKZQdNeGWADhO+L8J9HTXYPsUdL28twcHUmrUQVytAbMOZbIrblmFsuRXhp/RA/BJ2v+gY8hbdTXQCImGacNytXS1MjoOk5rCcOmG3ZHJhvPEofxZJiWmnumG85h3khXSpdvs4fyW2TvZAwdNeuDDTE39P84TJKqGR3/XLtUZ+SrQNUWFaRy1mdtPixa0lVW4nSRLu/bEYbw/SwSoB+1OsGNNKg2APJfrGqrD1nA2KW62n8PkQZFPctonwER3BZU0/3QWZYX1Fx5Cv6B6iExAJ0z7KV3QEp5Zu1CAjmOeYWtN5C5+0hEikVuFsFHIUf2b7ID7pEayLnAlJU/14aQ+tAmFeSmQXSfjllBkjmqtrfCxJAkrMVXdj/my/CQHuCtzSXAPLvxMwmyz//dciXb/7c42EJwBKsWv/yqa4jfJ3R6AnF6UWQZIUuCNtIqzuQaKjyE9gc8AjQHQKImE6xfpBwaFddvUbuoqO4Hiiugi/gCISqWsjXps4EklS4MFTnXGb8h3khFZ9Q/OXU2ZsOGXG2WwrNp42o/8XBjQPVGJK+9Ilhp7+rRgTvy8q3/6Dv4348bgJJzMtOJlpweL9Rry1owTj21VekijNYMWcbSX4v5tKewr5uSnQMlCJ+TuN2HHBjN/PmtEjquZF9DVFih9qI5viFgDaRfqKjuCyThrc8LbHTEio+VXstvNmDF9RiPC386F4KQ9rjpkq/HzymiIoXsqr8NXtU8N193k4zYJbvy5E7PzSfc7fWblrxfKDJkS9mw//N/LwxK/FFX52LseKZu8XIK/EBnefACCGLSrk2nzdtWjKrsl29UFyM0hKG1xUuJLo7qITEAmVEO0LrVpWl/FUA3tyvdD+3INYHfEEJF3F+YZySyQ88FMRWnxQgIlritArWoVfx3uUTx52uUBCUu5/a95aJeDp30vQfpEBnT4x4P2/jXh9oB4v9688l84jG4rxeA8dIrz/+5tZMtINKw+bMGxFEZ7ooUOXCBvcMIyqvvu1vcnq07RzrD82HUsTHcNlfXAhFjc1HYe2F5bXaHuDUUJ8SOkdpVu/Lqpym5uaqLB4xH8D6bXVjIovNAGNfZW4rZUGM38prvTzjEIr7vmxCEtGuKGxnxJDvypEv1gVhjYrvUs1fX0RXr9BB2+djZqaYnraZj9EDqxzrD9OpBaIjuG0LhbrkBPbFX4pf4qO4jh4biYXp9eo0D7KF3+fzRIdhergsdMJ+ML7bSwOW46Ay1sBALe31uD21pVbXcssGVlxYqqHumrxUA3XqV1xa+UJyLpEqHD0ARvfvGbLbUV9m7FbrGh3nBmCooDWNdp2SFMN5gzQY3TLa78RdSoFQj2V5V/+btcvOjtHqPDmID3uaKOBroobSGeyJfjoFBjbRoPOESr0b6TCkfTSu1hfHTJBq1JcN0+tseWWCF0a+YuO4PS2qThxXY2p9UBER9EpiITr1phdkx3ZwTxPdDx7H74KfxpWva/oOPXn3xjwCBSdQl7FbatwbwR7cVkakQwWJR4ongFJY5sp5recMyP4zXw0e78A034oQprBWv2TrqOpvxKFJgn7L1uQVSRh96XSBamziiS8sLkYC4bYcNZR32jAJ8J2+yNyUJ1jWdza20epLSEpZPWRLF8RnQA15+gg6sYbj07hmTNtcbP5LaSG3yA6Sv007lejzbZt24bhw4cjPDwcCoUCa9assWkM2X2SsvVWvE2ZflgTPKPe+xnSRI3lo92waZI73h6kw+5kCwZ8UXjNWdxqws9NgS9GumHimiJ0+aQAE+M1GNxEjcd/LcZDXbQ4m2NFwqICtPmwAN8eMVW/w+thtzciAEC4rxtiA7imoj0dK3BHQVAH0TEcQ2wv0QmIZKFDjB+0KtldylMdHCtwR9czU/FZ2POwuolv/ayTJjfWaDODwYD4+HgsWLDALjFk947o1zxYdAQCMPN0B6SE1+yP9FrGttFgaDMN2gSrMLy5Bj/f5Y4TmVasP2mu135HtdTg0HRPnHrYCy/202PLOTMOpVkwraMWd3xbhPmD9Vh9uxvurm9LMbskE5W7oWWI6AhOb4eW55waaTFUdAIiWdBrVOgQ4ys6BtnQK2db4oaSN3ApYojoKLWj0gKN+tRo0yFDhmDOnDkYPXq0XaLIrrjt1TQQKiXXnZCD2y/fCYtnmM32F+alRIyvEicz69c1+UolZgkz1hdj0TA3nMqywmwF+saq0TxQhWYBSuy6WMcFqRVKIG6AzXISObobWrG4tbeP02s238GV5m4vQedPCuA1Nw/Bb+Zj5MpCHM+oeN6TJAkvbilG+Nv5cHs1D/2WGHA47frnRtnNXF/GrxEQ1s62+yRyYDe3td11GsnDmUI39Dw9AR+GvASLh4M0+jXqA+jksbKC7IpbHzcNEqJ8RccgAElFeryqe9Rm48AyC624kGtFmJftbl68sq0EQ5qo0SFMBYsVMFv/u5AqXZC6jjuO7Q34RNomJJET6BzrD38PjnO0pz25XigKaFOr52w9b8YDnbXYebcHNk5wh9kKDPqyEAbjfye/eX8a8c4OIxbcrMfuaR4I9VTgxmWFyL9O4Vk2c/3rN+gR6ln5nF02c/1bN+rxy3gPfHHAhPUn/hsKYvOZ68u0usW2+yNycDe3DWOjkJOad74p+hrewPlIBzjvyahHjeyKWwAYwrtQsvH5pSjsi5xU5c8KjBISUyxITCltATibbUViigVJuVYUGCU8/msxdlww41yOFVvOmTF8RREC3RUY1eK/2Ywnfl+Ep3/7746/0fLfPo0W4FJe6fensiq39h5Os2DVYXP5el4tApVQKhT4bJ8R60+YcCzDis7hdVyzq/24uj2PyEmplAoMbh0qOobT2+teu7H+G8Z7YHJ7LVoHqxAfqsLiEXok5UrYe7n0vCxJEubvMuLZ3jqMblk6TOSLkW4oNEn46tC15yWQ3cz1ZVqNsP0+iRxYoKcOPeI4a7KzulisQ99Td+Dd4DmweIaLjlM1hRJozuL2uka2Dy9fsJjEG3d6IAxB7Ss9vifZgoRFBiQsMgAAZv1agoRFBrywuQQqBXAozYIRK4vQ7P0CTFpThGYBSuy42wNeV9zJT8q14nLBf60HyflS+T4vF0h4a4cRCYsMuOeHiuvoSpKEe9cV493BOnhoS/fnplFgyUg9Xt5Wgrt/KMaCm/UVFquuMa0n0HJ47Z9H5OSGteONR3v7PKt+XW5z/+09XLbs2tkcCSkFEgbF/besvU6tQN9YNf6q67ANNPDM9WV8orgEEFEVhreTadFDNvNeUmP0zH8Np6JuFR2lssb9AC/5DF1SV79Jwwvw1KF/82D8eiRVdBQCUGJV4p6C+/CV9gkojAXlj/eLVUOa7X3N5/0y3qPafW+ZXHGbWF/ldfdZRqFQ4M+plfc/rJkGw5rVs7Wg1QhAW312IlfTrXEAgrx0SM+vPP6SbGNTph+MoU2gzTlV6+dKkoRZvxSjV7QKbYJLm1tTCkpbU0Ou6loc4qHA+dy6z39w5cz1RSapfOb6qWuLymeuv2VlIUwW4MV+OoxpZYNWXN50JKrS4DaheG7NPzBabDenCclPSokWN5y8FfdGdsb/jB9AnXdBdKRS7e8SnaACWbbcAsBtnaJER6Ar7Mj2wYqAh0THaBjxd4pOQCRLKqUCt3fiWHR7O+jVu07Pe/CnYhxMtWDFrW6VfnZ1XyhJqvxYbTXYzPVlEsbXfx9ETsjHTYM+XErTZXx8MRpdc+bgaNQdkOp9Jq8nvW+tbzwWFBQgMTERiYmJAICzZ88iMTERSUlJNokk2+K2f/MgBHpy8hI5eeZsW1yIlE+fervwjeYaikTXcWeXaHDuEvtalhdf6+c89FMRfjhhxuZJHoi8YjhGqGfp/6cUVJw8Kq1QQoin7S4B7DZzfZnoHkBI7WeTJnIVI9qza7IryTRqMOTkLZjt/yZMPo3EBWk7BlDravWUPXv2ICEhAQkJCQCAWbNmISEhAS+88IJNIsm2uFWrlBjZPkJ0DLrKbRdug9k7WnQM+2l3B6DglTvRtUT6uaM/1yO3q7WpwTB71ayFXJIkPPhTEb47Zsamie5o5FfxY72RrwKhngpsPPPf+uJGi4St58zoEVnHCfeqYLeZ68t0vrueOyByboNbhyLIq3ZFBjm+pcnh6JT1Eg5GjbfZ6ia1UoceNf369YMkSZW+lixZYpNIsi1uAeD2zuyaLDcpJVo8p3oEksJ2F0WyEn+H6AREsje+W4zoCE7vqG/fGm33wE/F+PKgCV+NdoOXToGUAitSCqwoMpVWkwqFAo921eK17SX4/qgJ/6RZMHlNEdw1Coxr6wAz1wOARzBnSSaqhlatxF1dnbjxga4p16TGLSdvxlO+b8Ho17ThDhzaFghPaLjj1ZCsi9tmIV7o15xjCORm5eUw7Ih0wrvo0T2AgDjRKYhkr2+zIET5Vx7XSbbztaF9jbb7aI8JuSVAvy8KEfZ2QfnXqsP/LfPzv55aPNpNixk/FaPTxwZcypfw6wR3+c9cX6bjJEBlh2WFiJzMXV1joFXJ+tKe7GjV5VAkpL+AvVFTICkbYM7gHo/Y/xh1oJAkqb6dhexq97ks3LZwh+gYdBWNUsLeyPnwTtstOortjPsGaDZIdAoih7Bw62m8/vMx0TGclkphxQn/WVAZ0kRHEUuhAh49BPhwmBJRTTz+zQF8u/ei6Bgk2IiQNLyhWgR91lH7HMA3Bnh4P6CUX09O2d/e6Rzrj86xfqJj0FVMVgUm5kyDpPMRHcU2wtqzsCWqhbu6RsPXna1p9mKRlDjtX7OuyU6t7RgWtkS1cH/fxpw6hLA2NRgJqc/gr6h7ISnt8Fnd4yFZFraAAxS3ADCjfxPREagKiXme+MzvUdExbKPPE6ITEDkUL70G03o3Fh3DqX1fLL+xTA1KqQb6Pik6BZFDaRLshRtahoiOQTJQZFFh3Ml+mO7xDgoD29pux+6Bsl6azSGK2/7Ng9EqzFt0DKrCnHPNcSZylOgY9RPcGmhR/RJH27Ztw/DhwxEeHg6FQoE1a9bYPxuRjE3uEQs/tt7azZLkKFj1vqJjiNPuDs6DQFQHM/rxfUP/2ZAegPjkp7AlagYklQ1m1O56P6CR77wbDlHcAsCM/nyjytVtSSNh9HXgFpx+T9Vo+R+DwYD4+HgsWLCgAUIRyZ+HTo17+/DcbC9FFhUuBPYRHUMMpQbo+z/RKYgcUkK0H4a0CRUdg2TEZFVg8slemKJ7BwVBHeq+I/cAoOu9tgtmBw5T3N7cJgytw9l6K0eZRg2ekB6GpNKKjlJ7kZ2BVrfUaNMhQ4Zgzpw5GD16tJ1DETmOST1iEODhgO99B/GjsZPoCGIk3AX4cckporp6ekhLzpxMlWzJ8kP8xVn4NfJhSOo6tL72exrQy3u+HYf5q1cqFXh2aEvRMega1qYGY1O4vO/kVOmGl0QnIHJo7lo1prMLnN0sSo6FpPEQHaNhqXScB4GonqID3DGxO28QUWUWSYl7T3XDeM07yAvpWvMnBjYDOk6xXzAbcZjiFgB6xAVykLyM3XOqO7JDe4qOUXNNBwGxDpSXSKYm9YhFk2BP0TGcUr5ZjZTgXqJjNKweDwI+kaJTEDm8hwY25bwIdE1/ZvsgPulh/BgxC5K2BjdRb3wZUDXA+rn15FDFLQA8P6wltGqHi+0SJEmBcRlTYHULEB2leko1W22JbESjUuLlEa1Fx3Bav1i7iI7QcHxj2GpLZCM+bho8PLCp6BgkY5KkwEOnO+FWxTvXb6CK7Q00H9JwwerB4arEmAAP3NfHgScvcnJHC9zxvtdM0TGq1/sxIKSV6BRETqNHXCBGtA8XHcMpfZjcxDYzXDqCm9+S9SycRI5mfLcYNA50saENVGv7cr2QcO4BfBv+JCTdVXMcKVTA4NfEBKsDhytuAeCB/k0Q6ccPP7l6N6kxjkWNFR3j2kLbsmWAyA6eHdoSXnr5d1lyNGklGmQGdxcdw/5aDgeaDRKdgsipaFRKvMSeNVRDj5+Jxy3Wt5ER3u+/B7vPAMLaCctUWw5Z3Oo1Krw2qm1NVm8hQW47OxQl/s1Fx6hMqQFGLgRUtR+DUlBQgMTERCQmJgIAzp49i8TERCQlJdk4JJFjCvbS47Ebm4mO4ZQ2KWox6Ycj0noCN70hOgWRU+rdNAjju0WLjkEO4lC+BzqduRfLw5+BOTQB6P+s6Ei14pDFLQD0aRaEid04C5xc5ZvVeMj4ECS1XnSUivr+DwhtU6en7tmzBwkJCUhISAAAzJo1CwkJCXjhhRdsmZDIoU3oHov4KF/RMZzOh5ebQ1KoRMewn/7PAD4RolMQOa1nb26F2AB30THIgTx3tg32DFrtcENFHLa4BYCnb27JGTpl7NcMf6wPnS46xn/CE4Bes+r89H79+kGSpEpfS5YssV1GIgenUiowf2x7uGuduBAT4FyRHnnBnUXHsI/Y3kBXGX1WEDkhN60Kb98eDyV7PVINTeoei26NHWCS2Ks4dHGr16gwf2x7aFR8p8rVg6c6Iz28v+gYpesmjvzIIaYwJ3J0jQI9uC65HWzXOOG4W70vMGoRoHToyxEih9Axxh/39uG65FS9xoEeeGpIC9Ex6sThP03aRPjg0Rs4xkvOxqZMgMVD8PrE/Z4CgnmxTdRQ7uoag8GtuS65LX2U2goSnOxm7vD3qu2OvG3bNgwfPhzh4eFQKBRYs2ZNw2QjckKzbmyGFqFeomOQjOnUSrx3RwL0GsfsgeXwxS0ATO8bh86xfqJj0DWcKdTjLfdHxV2URXQCej4i5thELmzemHjObG9Dh/M9YAhqLzqG7XS+B2g9strNDAYD4uPjsWDBAvtnInJyWrUS745tDzcHLVzI/uaMbIO2kT6iY9SZUxS3SqUCC8Z1QIi3i6wD6IA+uhCDg1HjG/7AXmHA7UsBJU/iRA3Nx02D9+9M4NARG9ql7yk6gm2Exdd43cQhQ4Zgzpw5GD16tJ1DEbmGlmHeeOu2eK46QpVM6BaD2zpFiY5RL05R3AJAiLcen0zsBL3GaV6S0xl3ZjCKAus2U3GdaDyAO1dyBk4igRKi/fDqqLaiYziNTzOcYL1KjyDg9mWAmjekiUQZ2i4MDw1oKjoGyUinGD+8MLyV6Bj15lSVYLtIX7w5Jl50DLoGg0WJ+wpnQNJ42P9gCiUw5jMgvL39j0VE13V7pyjc35eTmNjCjmwfFPs78PwBarfSm45+XMqPSLSZNzTFTa1DRccgGQj20uHDuzpAo3L80tDxX8FVhseH4+GBvBMlV9uyfPFt0AP2P9DguUDzIfY/DhHVyJM3NceQNryIsoV9Hr1FR6gjBTBqIRDZSXQQIgKgUCjwzth4tAzzFh2FBNKoFPhofAcEe+tFR7EJpytugdI7UTe35UWUXD1xpj2SI26y3wG63Ad0u99++yeiWlMoFHh3bHvEO/AkFXKxJNtBu3kPfKFGE0gRUcNx16rxycSOCPDQio5CAigVwJtj4tExxl90FJtxyuJWoVDg7dvao2MMZ1CWq9sujYXZyw5jYZsNAW563fb7JaJ602tU+GRSJ0T4cgbl+vg1IwBG38aiY9ROh4lA71miUxBRFSL93PHJpE5w13LyTVczZ2RbjExwrrlpnLK4BQA3rQpfTO2C9lG+oqNQFS4V6/CyZiYkhQ3/BMPiS8fZKp32z5rI4QV76fHlPV05u309/ePlQF2TWwwDhr5b56cXFBQgMTERiYmJAICzZ88iMTERSUlJNgpIRB2i/fDpxE7QqXkN5SqeG9oS47pGi45hcwpJkiTRIewpr9iE8Z/uwsGLuaKjUBW+bvo7ulz4rP478msETPkZ8A6r/76IyO7OpBfgzk92IjWvRHQUhzQmJAVv5TpAS2jL4cCYxYBKU+ddbNmyBf3796/0+KRJk7BkyZJ6hCOiq20+nob7lu6F0WIVHYXs6NEbmuLRG5qJjmEXTl/cAkBuoQnjPt2Jw8l5oqPQVXRKK/ZGvAPP9H1130loW2D8d4BnsO2CEZHdnUkvwB0f70RaPgvc2lIoJJwM/B/U+ZdER7m2lrf8W9iqRScholr47UgqZizfxwLXSd3bpzGeudmBZ92vhkv0PfBx12D5PV3RItRLdBS6SolVian590LS1fHfJqYXMPknFrZEDqhxkCdW3NsNQV7solxbkqTACd8+omNcW6sRLGyJHNQNrUKwcEIHaNlF2elM6h7j1IUt4CLFLQD4umvx1bRuaBvBmTrl5u8cbyzzf6T2T2wxDJjwHaDnFPZEjiouyBMrpnVDqJMsQdCQVhkSREeoWquRwK2fs7AlcmADWoTg4wkd4abhJFPOQKEAnhjcHC+NaCM6it25RLfkKxlKzJixfB+2nkgXHYWusrXJSsRc/KFmGydMAIa/Byh50iVyBim5xbj7i90cPlILKoUVJ/0ehbIwQ3SU/3SdDgx+jRP7ETmJfy7l4u4vdnN+BAemUSkwb0w7jEqIFB2lQbjcp4+HTo3PJnXC7Z1c4x/Ykdx24VaYfGKr37Dno8CIBSxsiZxIqI8eX9/XHQNbcIhBTVkkJc4E9BUdo5RCBdz8FjDkdRa2RE6kTYQP1j7QC63D2UvOEXnp1fhiSheXKWwBFyxuAUCtUmLemHg8NaQFlArRaahMWokGTysegaS8Vlc2BTBoDnDjSw2ai4gahodOjY8ndsLkHrGioziMtcUdREcAdN7AXV8DXaaJTkJEdhDqo8c393fHDS1DREehWgj799+tR5NA0VEalMt1S77ar4dTMHNVIgxGi+go9K+lTbejz4WPKj6o9QRu+T+gza1iQhFRg1r851m8su4IrC79CVU9D5UV/3jOgKJEUHdun+jSwjbYuScoISLAapUw9+ej+GT7WdFRqBptIrzxycROCPNxEx2lwbl8cQsAp9IK8NCK/Th6mWO95EClsGJf9AL4pO4sfSCkDXDbF0BgE7HBiKhB/XUqA4+sSkQ6lwq6rm1NvkL0xXUNf+C4gcCoRYBnUMMfm4iEWbU7CbN/OIxiE5cKkqO7ukbjheGtoFO75vA9Frf/KjFbMPenY1jy1znRUQhAO+8CrFE+CWWrW4Ah8wANZ1IlckXp+SV4dNV+/HkqU3QU2Xoq5gTuT32x4Q6o0gIDZwPdHyidgpOIXM6ptHw8sjKRkwDKiIdWhbm3tsMt8eGiowjF4vYqvx9NxRPfHkSWwSg6ikvz1quxZEwUOrRpJToKEQlmtUpYuO003t14AiYLP7Ku5qcxY5/+fihMhfY/WEBTYMxnQFi8/Y9FRLJmNFvx9sbj+GTbGQ4hEax9lC/eu6M9YgI8REcRjsVtFdLyijHz60S2FAjSIy4Ab98e75LjBIjo2g5dzMUjq/bjTLpBdBTZ2dl4MUKTN9r3IAkTgCFvAFpePBHRf3aczsRjXyciObdYdBSXo1Iq8EC/ODw8sCnUKpecJ7gSFrfXYLVK+HLXebz1y3HkFZtFx3EJXno1Hh/UHBO7x0DBrm5EVIVikwUfbjmNhVtPw2jmeK8yrzQ6jAmXX7XPzn2jS4eHNB9in/0TkcPLLTLh+TX/4IcDyaKjuIx2kT6YM7IN2kX6io4iKyxuq5FRUIK5Px3Dd/svgr8p+1AogNEJkXj65hYI9NSJjkNEDuBMegGeX/sPe9j8K0xvxF+qe6Gw2HBIjUoL9HgI6PMEoGFPGiKq3rYT6Xh53RGcSisQHcVp+bpr8MTg5rizczSUXNO0Eha3NbT7XBaeX/MPjqXki47iVFqFeeOVka3RMcZfdBQickBrEy/hlXVHkVHAGZX3NlqIgMvbbLOzRn2BoW8DgU1tsz8ichlmixVLd5zH/N9OsPejDSkUwO0do/DkkBbw99CKjiNbLG5rwWyxYslf5/De7yeRzzdrvXjp1XjsxmaY0D0WKt51IqJ6yC0yYcGmk1i287xLL03xdtx+3HrpzfrtxDe6dCbktmNsE4qIXFaWwYi3fj2OlX8nccKpemod7o1XRrZBh2g/0VFkj8VtHeQWmfD5H2fx+Z9nWeTWkpdejSk9YnF3r8bwcdeIjkNETiQtrxgfbD6FFX9fgNHiekVunHsRfpOmQSHV4bX7RAG9HwMSxgMqnpuJyHaOJOfh1Z+OcBhJHbQI9cJDA5piSJtQdkGuIRa39ZBXbMLiP87h8z/PIrfIJDqOrPm6azC1ZyNM7hkLbz0vnIjIfpJzivD+ppP4Zs9FmF2sueBgzHx4p/5d8yd4RwC9ZwEJEwE1u7kRkf3sPZ+F9zedwpbj6aKjyF7bCB88NKAJbmwVwklWa4nFrQ3kF5uw5M9z+OzPs8gpZJF7JX8PLe7u1QiTesTCU6cWHYeIXEhSZiE+2X4G3+27CIPRIjpOg/ioyd8YcnF+9Rv6NQK6zQA6TgLUnMiPiBrOP5dysWjbGfx86LLL3YCsTkK0Lx4e0BT9WwSLjuKwWNzaUJHRgrWJl7Bs53kcTs4THUeoDtG+uKNzNIbHh8NNqxIdh4hcWEGJGd/tu4ilO847/Qye7bwLsNZ4HxSo4qNdoQKa3QR0ngrEDSydnYSISJBLOUVY8udZrNx9waWH+enUSgxqHYo7u0ShR1yg6DgOj8WtnexPysbXey5g3YHLyC9xjTesn7sGoxIicUeXKDQL8RIdh4iokr9OZ2DZjvPYeCTVaVsMDke+AY+MA/894BkCdJgIdJwM+EQKy0VEVJVikwW/HU3Fmv2XsPVEOkwW5zw3X61thA9u7xSJW+IjOA+NDbG4tbMiowUbDl/GD4nJ+Ot0JkrMzjXJiUalQPe4QIzpGInBrUOgU7OVlojkL7OgBD/9k4IfDyRjz7ksp5rJc0nTP9Av7Uug+RCg9SigyQ2cJIqIHEKWwYgfDyTju/2XcOBCjug4NufvocWI9uG4vVMUWoZ5i47jlFjcNqBCoxnbT2bgtyOp2Hw8DRkFRtGR6sRLr0afpkEY1DoE/VsEc4IoInJoaXnF+PVIKn49koodpzMcttUg0FOHgS2CMbqND7o2CeVYWiJyaGfSC7Du4GX8cTID+y9kO+y5uVGgBwa2CMbAliHoHOsHtUopOpJTY3EriNUqIfFiDn4/mopdZ7LwT3KubNdn1KmVaBXuje6NA9CveTA6RPvyjUlETqmgxIy957Ox60wm/j6bhYMXc2W7rJC/hxYdY/zQJdYfXRr5o12kD2fVJCKnVGg0Y9fZLPx1KgN/nMrEsZQ8yLWC8dar0SMuED2bBqJ3k0DEBnqIjuRSWNzKhNlixbGUfCReyCn/Op1e0OBvXKUCaBrshXaRPoiP8kV8pC9ahHlBw2KWiFxQscmCfUnZ+PtsFg5dzMWp9AJcyCps8G7MOrUSjQI90CrMG50b+aNzrB/igjxZzBKRS8osKMHOM1k4nJyLE6n5OJ6aj4vZRQ1+3ezvoUWrMG+0DvdGq/DS/zYO9OSatAKxuJWx/GITzmUU4mJ2IS5kF+JidhEuZBXiQnYRLmUXochUt6UtPLQqRPq5I8LPDZH/fkX4uiPSzw1Ngj3hwSV7iIiuqdhkwZl0A06lF+BUaj5OZxiQnl+CLIMRWQYjcgqNtS5+tSolfN018HPXIsBTi9hADzQO9EBcsCeaBHkiwteNF0tERNdRaDTjZGoBjqfm40RKPs5nFSItvwQZ+SVILyiBsQ7z3rhpVAj21iHYS4dgLz2CvHQI8dajWYgnWoV7I8zHzQ6vhOqDxa0DKzJakF9sQn6JGYYSM0rMVpSYrDBaLFAqFHDXquGmUcFNq4Rb2f9rVFyah4jIjixWCTmFpYVuXrEJJosEi7X0S6EAlAoFlAoFPHXq0oLWQ8t1wImI7KygxIy8IhNyi0zIKzJBQtn5GFAqS8/LKoUCCgXgplUh2EsHL84r43BY3BIREREREZHD40BKIiIiIiIicngsbomIiIiIiMjhsbglIiIiIiIih8filoiIiIiIiBwei1siIiIiIiJyeCxuiYiIiIiIyOGxuCUiIiIiIiKHx+KWiIiIiIiIHB6LWyIiIiIiInJ4LG6JiIiIiIjI4bG4JSIiIiIiIofH4paIiIiIiIgcHotbIiIiIiIicngsbomIiIiIiMjhsbglIiIiIiIih8filoiIiIiIiBwei1siIiIiIiJyeCxuiYiIiIiIyOGxuCUiIiIiIiKHx+KWiIiIiIiIHB6LWyIiIiIiInJ4LG6JiIiIiIjI4bG4JSIiIiIiIofH4paIiIiIiIgcHotbIiIiIiIicngsbomIiIiIiMjhsbglIiIiIiIih8filoiIiIiIiBwei1siIiIiIiJyeCxuiYiIiIiIyOGxuCUiIiIiIiKHx+KWiIiIiIiIHB6LWyIiIiIiInJ4LG6JiIiIiIjI4bG4JSIiIiIiIofn8sXtkiVLoFAosGfPnip/PmzYMMTGxjZsqFo6cuQIXnzxRZw7d050FADAuXPnoFAosGTJEtFRiMjGys6ZCoUCW7ZsqfRzSZLQpEkTKBQK9OvXr8HzifDjjz9i+PDhCAkJgVarhb+/PwYOHIjly5fDZDKJjnddCoUCL774YoM/98MPP+RnBJENXHlOLvsKCgpCv379sG7dujrtMzY2FsOGDbNx0uqJvn6s6vhX/37VajUiIyMxZcoUXLp0yabHVygUePDBB6vdbsuWLdf8DCYWt07hyJEjeOmll2RT3IaFhWHHjh0YOnSo6ChEZCdeXl747LPPKj2+detWnD59Gl5eXgJSNSxJkjBlyhTccsstsFqteOedd/Dbb7/hiy++QHx8PGbMmIEPP/xQdEy72bFjB+655546PZfFLZFtLV68GDt27MBff/2Fjz/+GCqVCsOHD8ePP/4oOlqNyfn6sez3u3HjRkybNg0rVqxA7969YTAYREejq6hFB6C6M5lMUCgUomNUotPp0K1bN9ExiMiOxo4di+XLl+ODDz6At7d3+eOfffYZunfvjry8PIHp6qawsBDu7u413v7NN9/EkiVL8NJLL+GFF16o8LPhw4fjf//7H06dOmXrmLLB8zyRfLRp0wadOnUq//6mm26Cn58fVqxYgeHDhwtMVnO2vn4sKiqCXq+3ybXylb/f/v37w2Kx4JVXXsGaNWtw1113Vfmc2n6mkG2w5bYWBg4ciBYtWkCSpAqPl3XDK7vTVNatYd68eXj11VcRHR0NvV6PTp064ffff6+035MnT2LcuHEIDg6GTqdDy5Yt8cEHH1TYpqwLwrJly/DYY48hIiICOp0On376KW677TYApW+2sm4TV94R/+233zBw4EB4e3vD3d0dPXv2rJTjxRdfhEKhwOHDh3HnnXfCx8cHISEhmDp1KnJzcyts+80336Br167w8fGBu7s7GjdujKlTp5b//FrdSv744w8MHDgQXl5ecHd3R48ePbB+/foK25R1/9i8eTOmT5+OwMBABAQEYPTo0UhOTr7Ovw4RNaQ777wTALBixYryx3Jzc7F69eoK54MyRqMRc+bMQYsWLaDT6RAUFIQpU6YgPT29wnZl3eHWrVuHhIQEuLm5oWXLluXd65YsWYKWLVvCw8MDXbp0qXJIyQ8//IDu3bvD3d0dXl5euPHGG7Fjx44K25Sd8/bt24cxY8bAz88PcXFxWLZsGRQKRaXtAeDll1+GRqNBcnIyTCYT3njjDbRo0QLPP/98lb+j0NBQ9OrVq/z7rKwszJgxAxEREdBqtWjcuDGeffZZlJSUVHheWde0xYsXo3nz5nBzc0OnTp2wc+dOSJKEN998E40aNYKnpycGDBhQqYDu168f2rRpg+3bt6Nbt25wc3NDREQEnn/+eVgsliqzlklPT8eMGTPQqlUreHp6Ijg4GAMGDMD27dsrbXt1t+Sanr9jY2Nx+PBhbN26tfwzq2z4j9VqxZw5c8pft6+vL9q1a4f33nvvurmJqCK9Xg+tVguNRlP+WE3Pw2U2bNiADh06wM3NDS1atMDnn39e4ec1OV+YTCYEBwdjwoQJlfafk5MDNzc3zJo1C4Btrh9//fVXTJ06FUFBQXB3d0dJSQlOnTqFKVOmoGnTpnB3d0dERASGDx+OQ4cO1ep3eqWyIvz8+fMAgMmTJ8PT0xOHDh3CoEGD4OXlhYEDBwKo+bm/zKJFi9CsWTPodDq0atUKK1eurFGmPXv24JZbboG/vz/0ej0SEhLw9ddfV9im7Pe0adMmTJs2DQEBAfD29sbEiRNhMBiQkpKC22+/Hb6+vggLC8Pjjz9eaXjNRx99hPj4eHh6esLLywstWrTAM888U6vfnz2xuP2XxWKB2Wyu9HVlIfvII4/g+PHjlQrDn3/+GadPn8YDDzxQ4fEFCxZgw4YNmD9/Pr788ksolUoMGTKkwkXTkSNH0LlzZ/zzzz94++23sW7dOgwdOhQPP/wwXnrppUo5n376aSQlJWHhwoX48ccfMWrUKLz22msAgA8++AA7duyo0KXjyy+/xKBBg+Dt7Y0vvvgCX3/9Nfz9/TF48OAqC+1bb70VzZo1w+rVq/HUU0/hq6++wsyZM8t/vmPHDowdOxaNGzfGypUrsX79erzwwgswm83X/f1u3boVAwYMQG5uLj777DOsWLECXl5eGD58OFatWlVp+3vuuQcajQZfffUV5s2bhy1btmD8+PHXPQYRNRxvb2+MGTOmwsXOihUroFQqMXbs2ArbWq1WjBgxAq+//jrGjRuH9evX4/XXX8fGjRvRr18/FBUVVdj+wIEDePrpp/Hkk0/iu+++g4+PD0aPHo3Zs2fj008/xWuvvYbly5cjNzcXw4YNq/D8r776CiNGjIC3tzdWrFiBzz77DNnZ2ejXrx/++OOPSq9j9OjRaNKkCb755hssXLgQY8eORWhoaKUbjGazGYsWLcKoUaMQHh6OPXv2ICsrCyNGjKhRq0BxcTH69++PpUuXYtasWVi/fj3Gjx+PefPmYfTo0ZW2X7duHT799FO8/vrrWLFiBfLz8zF06FA89thj+PPPP7FgwQJ8/PHHOHLkCG699dZKN11TUlJwxx134K677sLatWsxZswYzJkzB4888sh1c2ZlZQEAZs+ejfXr12Px4sVo3Lgx+vXrV+PxXdWdv7///ns0btwYCQkJ5Z9Z33//PQBg3rx5ePHFF3HnnXdi/fr1WLVqFe6++27k5OTU6NhErqrsOtZkMuHixYt49NFHYTAYMG7cOAB1Ow8/9thjmDlzJtauXYt27drh7rvvxrZt28q3qcn5QqPRYPz48Vi9enWlHj0rVqxAcXExpkyZcs3XVdvrx6lTp0Kj0WDZsmX49ttvy29IBgQE4PXXX8eGDRvwwQcfQK1Wo2vXrjh+/Hidft9lNxWDgoLKHzMajbjlllswYMAArF27Fi+99FKtz/0//PAD/u///g8vv/wyvv32W8TExODOO+/Et99+e908mzdvRs+ePZGTk4OFCxdi7dq1aN++PcaOHVvlEJB77rkHPj4+WLlyJZ577jl89dVXmDZtGoYOHYr4+Hh8++23mDRpEt5++228//775c9buXIlZsyYgb59++L777/HmjVrMHPmTHl1z5Zc3OLFiyUA1/2KiYmRJEmSLBaL1LhxY2nEiBEV9jFkyBApLi5OslqtkiRJ0tmzZyUAUnh4uFRUVFS+XV5enuTv7y/dcMMN5Y8NHjxYioyMlHJzcyvs88EHH5T0er2UlZUlSZIkbd68WQIg9enTp9Jr+OabbyQA0ubNmys8bjAYJH9/f2n48OEVHrdYLFJ8fLzUpUuX8sdmz54tAZDmzZtXYdsZM2ZIer2+/LW99dZbEgApJyfnWr/S8te/ePHi8se6desmBQcHS/n5+eWPmc1mqU2bNlJkZGT5/sv+PWbMmFFhn/PmzZMASJcvX77mcYnI/sreo7t37y4/L/3zzz+SJElS586dpcmTJ0uSJEmtW7eW+vbtK0mSJK1YsUICIK1evbrCvnbv3i0BkD788MPyx2JiYiQ3Nzfp4sWL5Y8lJiZKAKSwsDDJYDCUP75mzRoJgPTDDz9IklR6bgsPD5fatm0rWSyW8u3y8/Ol4OBgqUePHuWPlZ3zXnjhhUqvcfbs2ZJWq5VSU1PLH1u1apUEQNq6daskSZK0cuVKCYC0cOHCGv3eFi5cKAGQvv766wqPv/HGGxIA6ddffy1/DIAUGhoqFRQUVHqt7du3Lz9fSpIkzZ8/XwIgHTx4sPyxvn37SgCktWvXVjjWtGnTJKVSKZ0/f77CsWbPnn3N3GazWTKZTNLAgQOlUaNGVfjZ1c+tzfn7yr+PKw0bNkxq3779NfMQUUXXuo7V6XQVzq21PQ/r9foK54qioiLJ399fuu+++66Z5Vrni4MHD0oApI8//rjC9l26dJE6duxY/r0trh8nTpxY3a9MMpvNktFolJo2bSrNnDnzuscv2+/OnTslk8kk5efnS+vWrZOCgoIkLy8vKSUlRZIkSZo0aZIEQPr8888rHKu25343N7fyfZZlbdGihdSkSZPyx8o+e6+87m/RooWUkJAgmUymCscZNmyYFBYWVv6ZWPZ6HnrooQrbjRw5UgIgvfPOOxUeb9++vdShQ4fy7x988EHJ19e38i9VRthy+6+lS5di9+7dlb6u7FKmVCrx4IMPYt26dUhKSgIAnD59Ghs2bMCMGTMq3b0fPXo09Hp9+fdld5q2bdsGi8WC4uJi/P777xg1ahTc3d0rtBjffPPNKC4uxs6dOyvs89Zbb63xa/rrr7+QlZWFSZMmVdi31WrFTTfdhN27d1e603LLLbdU+L5du3YoLi5GWloaAKBz584AgNtvvx1ff/11jWaKMxgM2LVrF8aMGQNPT8/yx1UqFSZMmICLFy9WunNWVQ7gv+4fRCRe3759ERcXh88//xyHDh3C7t27q+ySvG7dOvj6+mL48OEVzkXt27dHaGhopRbB9u3bIyIiovz7li1bAijtbnvl+KWyx8vOC8ePH0dycjImTJgApfK/jzdPT0/ceuut2LlzJwoLCyscq6pz6vTp0wEAn3zySfljCxYsQNu2bdGnT58a/W6utmnTJnh4eGDMmDEVHp88eTIAVOpJ079/f3h4eJR/X/ZahwwZUuGz5urfQRkvL69K59Fx48bBarVWaHmpysKFC9GhQwfo9Xqo1WpoNBr8/vvvOHr0aA1eaf3O3126dMGBAwcwY8YM/PLLLw45dptIhCuvY3/++WdMmjQJDzzwABYsWACgbufh6Ojo8u/1ej2aNWtW6X1ck/NF27Zt0bFjRyxevLj8saNHj+Lvv/+u8jOjTF2uH6s6p5vNZrz22mto1aoVtFot1Go1tFotTp48WePzWrdu3aDRaODl5YVhw4YhNDQUP//8M0JCQq57/Nqe+wcOHFhhnyqVCmPHjsWpU6dw8eLFKrOdOnUKx44dKx/7e3U9cfny5Uq/p6tnwy77LLl6Mq+WLVtW+Dfv0qULcnJycOedd2Lt2rXIyMioMpNILG7/1bJlS3Tq1KnSl4+PT4Xtpk6dCjc3NyxcuBBAaVdgNze3Kt+coaGhVT5mNBpRUFCAzMxMmM1mvP/++9BoNBW+br75ZgCo9EcTFhZW49eUmpoKABgzZkyl/b/xxhuQJKm8S0mZgICACt/rdDoAKO+u0qdPH6xZswZmsxkTJ05EZGQk2rRpU2Hc3dWys7MhSVKV2cPDwwEAmZmZtcpBROIpFApMmTIFX375JRYuXIhmzZqhd+/elbZLTU1FTk5O+fivK79SUlIqnef8/f0rfK/Vaq/7eHFxMYD/ziPXOtdYrVZkZ2dXeLyqbUNCQjB27FgsWrQIFosFBw8exPbt2yss0VB20Xf27NkqfjOVZWZmIjQ0tNJN0ODgYKjV6krnwLr+Dq58DVcr+0y6+lhXeueddzB9+nR07doVq1evxs6dO7F7927cdNNNNT7/1uf8/fTTT+Ott97Czp07MWTIEAQEBGDgwIHXXK6PiEpdeR170003YdGiRRg0aBD+97//IScnp9bn4avfx0Dpe/nK93FtzhdTp07Fjh07cOzYMQClsw/rdLry+RuqUpfrx6q2nTVrFp5//nmMHDkSP/74I3bt2oXdu3cjPj6+xue1spsH+/fvR3JyMg4ePIiePXtW2Mbd3b3CBItl+Wpz7r9W7VDVay1Tdr3/+OOPV/q3nTFjBoDK9URtPmOu/HyZMGECPv/8c5w/fx633norgoOD0bVrV2zcuLHKbCJwtuRa8vHxwaRJk/Dpp5/i8ccfx+LFizFu3Dj4+vpW2jYlJaXKx7RaLTw9PaHRaMrvPl09XrdMo0aNKnxfmxnfAgMDAQDvv//+NWefq+oCqDojRozAiBEjUFJSgp07d2Lu3LkYN24cYmNj0b1790rb+/n5QalU4vLly5V+VjbJSFlWInIskydPxgsvvICFCxfi1VdfrXKbsomFNmzYUOXPbbVsUNnF2LXONUqlEn5+fhUev9Y59ZFHHsGyZcuwdu1abNiwAb6+vhVmxOzUqRP8/f2xdu1azJ07t9pzc0BAAHbt2gVJkipsm5aWBrPZbPNzYNnFzpXKPpOqumgt8+WXX6Jfv3746KOPKjyen59v03zXolarMWvWLMyaNQs5OTn47bff8Mwzz2Dw4MG4cOECZx4lqoV27drhl19+wYkTJ+xyHq7N+eLOO+/ErFmzsGTJErz66qtYtmwZRo4cWemcfKW6XD9WdS7+8ssvMXHixPI5aspkZGRUef1elbKbB9dT1bFre+6/Vu1Qtq+qlO3j6aefrnIcLwA0b978utlrY8qUKZgyZQoMBgO2bduG2bNnY9iwYThx4gRiYmJsdpy6YsttHTz88MPIyMjAmDFjkJOTc80Fl7/77rsKdzvy8/Px448/onfv3lCpVHB3d0f//v2xf/9+tGvXrsqW4+tdhJS51l3xnj17wtfXF0eOHKly3506dSq/U1MXOp0Offv2xRtvvAEA2L9/f5XbeXh4oGvXrvjuu+8qZLRarfjyyy8RGRmJZs2a1TkHEYkTERGBJ554AsOHD8ekSZOq3GbYsGHIzMyExWKp8jxkqw/d5s2bIyIiAl999VWFCZYMBgNWr15dPoNyTXTs2BE9evTAG2+8geXLl2Py5MkVuglrNBo8+eSTOHbsGF555ZUq95GWloY///wTQGlXs4KCAqxZs6bCNkuXLi3/uS3l5+fjhx9+qPDYV199BaVSed2u1QqFovwzpczBgwernD26Pq5uAaqKr68vxowZgwceeABZWVmyWcudyFEkJiYCKJ30yB7n4dqcL/z8/DBy5EgsXboU69atQ0pKynW7JAO2u36sKuf69etrNLSuvmp77v/9998r3Jy0WCxYtWoV4uLiEBkZWeUxmjdvjqZNm+LAgQPXvN63x9rzHh4eGDJkCJ599lkYjUYcPnzY5seoC7bc1kGzZs1w00034eeff0avXr0QHx9f5XYqlQo33ngjZs2aBavVijfeeAN5eXkVZkF+77330KtXL/Tu3RvTp09HbGws8vPzcerUKfz444/YtGlTtXnatGkDAPj444/h5eUFvV6PRo0aISAgAO+//z4mTZqErKwsjBkzBsHBwUhPT8eBAweQnp5e6W5bdV544QVcvHgRAwcORGRkJHJycvDee+9Bo9Ggb9++13ze3LlzceONN6J///54/PHHodVq8eGHH+Kff/7BihUrZLleLxHVzOuvv37dn99xxx1Yvnw5br75ZjzyyCPo0qULNBoNLl68iM2bN2PEiBEYNWpUvXMolUrMmzcPd911F4YNG4b77rsPJSUlePPNN5GTk1Ntzqs98sgjGDt2LBQKRXnXris98cQTOHr0KGbPno2///4b48aNQ1RUFHJzc7Ft2zZ8/PHHeOmll9CzZ09MnDgRH3zwASZNmoRz586hbdu2+OOPP/Daa6/h5ptvxg033FDv13+lgIAATJ8+HUlJSWjWrBl++uknfPLJJ5g+fXqFcXRXGzZsGF555RXMnj0bffv2xfHjx/Hyyy+jUaNG1c6KXxtt27bFypUrsWrVKjRu3Bh6vR5t27bF8OHDy9eTDAoKwvnz5zF//nzExMSgadOmNjs+kbP5559/yt+jmZmZ+O6777Bx40aMGjUKjRo1QnR0tM3Pw7U9X0ydOhWrVq3Cgw8+iMjIyBqd92xx/Ths2DAsWbIELVq0QLt27bB37168+eab1ywWbam25/7AwEAMGDAAzz//PDw8PPDhhx/i2LFj1S4HtGjRIgwZMgSDBw/G5MmTERERgaysLBw9ehT79u3DN998Y5PXM23aNLi5uaFnz54ICwtDSkoK5s6dCx8fn/J5eURjcVtHY8eOxc8//3zNVlsAePDBB1FcXIyHH34YaWlpaN26NdavX1+hj36rVq2wb98+vPLKK3juueeQlpYGX19fNG3atHzcbXUaNWqE+fPn47333kO/fv1gsViwePFiTJ48GePHj0d0dDTmzZuH++67D/n5+QgODkb79u3LB7PXRteuXbFnzx48+eSTSE9Ph6+vLzp16oRNmzahdevW13xe3759sWnTJsyePRuTJ0+G1WpFfHw8fvjhh0qD2onIuahUKvzwww947733sGzZMsydOxdqtRqRkZHo27cv2rZta7NjjRs3Dh4eHpg7dy7Gjh0LlUqFbt26YfPmzejRo0et9jVy5EjodDr079+/ysJKoVBg8eLFGDVqFD7++GM8+uijyM7OhpeXF9q3b4833nijfIkLvV6PzZs349lnn8Wbb76J9PR0RERE4PHHH8fs2bNt8tqvVLac0eOPP45Dhw7B398fzzzzTJVLzF3p2WefRWFhIT777DPMmzcPrVq1wsKFC/H999/XeCmgmnjppZdw+fJlTJs2Dfn5+YiJicG5c+fQv39/rF69Gp9++iny8vIQGhqKG2+8Ec8//3yF9TqJqKIrl9Px8fFBo0aN8M4775TfmLPHebi254sbbrgBUVFRuHDhAp599tkKE/9diy2uH8saYebOnYuCggJ06NAB3333HZ577rnavuRaq+25/5ZbbkHr1q3x3HPPISkpCXFxcVi+fHmlJfau1r9/f/z999949dVXyz+LAgIC0KpVK9x+++02ez29e/fGkiVL8PXXXyM7OxuBgYHo1asXli5dWmFZJJEUknTV4nhUI2Uzb547d67SB+65c+fQqFEjvPnmm3j88ccFJSQiovr48ccfccstt2D9+vU1vtkoB/369UNGRgb++ecf0VGIiIgaFFtua6GkpAT79u3D33//je+//x7vvPMO7yQTETmZI0eO4Pz583jsscfQvn17DBkyRHQkIiIiqgEWt7Vw+fJl9OjRA97e3rjvvvvw0EMPiY5EREQ2NmPGDPz555/o0KEDvvjiC84JQERE5CDYLZmIiIiIiIgcHpcCIiIiIiIiIofH4paIiIiIiIgcHotbIiIiIiIicngsbomIiIiIiMjhsbglIiIiIiIih8filoiIiIiIiBwei1siIiIiIiJyeCxuiYiIiIiIyOGxuCUiIiIiIiKHx+KWiIiIiIiIHB6LWyIiIiIiInJ4LG6JiIiIiIjI4bG4JSIiIiIiIofH4paIiIiIiIgcHotbIiIiIiIicngsbomIiIiIiMjhsbglIiIiIiIih8filoiIiIiIiBwei1siIiIiIiJyeCxuiYiIiIiIyOGxuCUiIiIiIiKHx+KWiIiIiIiIHB6LWyIiIiIiInJ4LG6JiIiIiIjI4bG4JSIiIiIiIoenFh2AqldktOBcpgGXc4twKacYKblFSM8vQWaBERkGIwwlZpgtVpitEixWCSaLBIvVCrNFglqlgLebBr5uGni7aeBzxVewlw6NgjzRONADEb5uUCoVol8qEZHDMFmsSMoqxPlMA85lFCI5pwi5RSbkFZuQV2Qu/W+xCfnFZpjMVigUpedYlVIBrVoJrUoJd60K/h5aBHnp/vvyLP1vtL87YgM8eG4mIqqFghIzTqTm40JWIdLySpCaV4z0ghJkF5qQU2hEbpEJRUYLAED69zlS2f9Agl6jQoCHFv4eWvh76ODvoYG/hw4BHlpE+LmhaYgngr30Il4a1YBCkv775yTxUvOKceRyHo4k5+HI5TwcvZyHcxkGWO38r6RTKxEb4IHGQaVfzUO9kRDliyh/d/semIjIAVzIKsS+pGwkXsjBydSCf284FsNi55OzXqNEXJAnmod6oXmIF5qFeqFVmDdCvHlhRUSuzWi24lhKHo6n5ONkWgFOpObjREo+knOL7X5sX3cNmgR5ommIJ5oGe6FZiBfaRvjAx11j92PT9bG4FSwpsxBbT6Zj+4l07EvKRkaBUXSkCoK8dOgY7Yeujf3RPS4AzUO8ylsfiIickcliReKFHOw9n41957Ox/0IO0vNLRMeqIDbAHd3jAtCtcQC6xwWwFYGInJ7ZYsWBi7nYeSYTf53OwN7z2Sg2WUXHKqdQAM2CvdC5kR+6NApAz7gABHjqRMdyOSxuG1h+sQl/nsrE9pPp2H4yA0lZhaIj1Yq/hxZ9mgZiSNsw9G0WBL1GJToSEVG9ZRSUYNPRNGw6loY/T2Ugv8QsOlKtxAV5oHtcAAa0CEavJkHQqjmlBhE5vvOZBvxyOAV/nc7E7rNZMPzbndgRKBRA8xAv9G4aiJvahKJDtB8biBoAi9sGUGyyYOORVHy//xK2nUiH2d59jBuIh1aF/i2CcXPbMPRvHgw3LQtdInIcqXnF+PFAMn45nIK957PtPvyjoXjp1BjQMhjD2oWjX/MgaFQsdInIcaTkFmPdwWT8eCAZBy7mio5jMxG+bhjaLgzD24WjbaSP6DhOi8WtnUiShL/PZuH7/Zew/tBl5Bc7VitAbblpVOjfIghjO0ejT9NA3pkiIlmyWCVsOpaGVbuTsPl4ut3HzIrm667BkDZhuK1TJDpE+4mOQ0RUpWyDEesPXcYPB5Kx51yW09xsvJbYAHcMaxeOkQkRaBLsKTqOU2Fxa2Pp+SVYvus8Vu+7iAtZRaLjCNE40AMTusdgTMdIeOk5sJ6IxEvKLMTK3UlYve8iUvPkNX62ocRH+mBSj1gMaxfObstEJAsHL+ZgyV/nsO7gZRjN8hk/25B6Nw3E1J6N0K95EBuHbIDFrY2cSM3Hp9vPYE1issu+Oa/moVVhdIdITOoRgybBXqLjEJEL2ns+Gx9sPoXNx9PAT7tSgZ46jOsShfHdYhDMWZeJqIFZrRJ+PZKCj7edwb6kHNFxZKNxkAem9IjFrR0j4a7laq11xeK2nhIv5GDBppP4/RgvnK6nX/MgPD6oOdpEcIwBEdnfX6cy8P6mU9hxJlN0FNnSqBS4JT4Cj97QlMu+EZHdGc1WfLP3Aj7dfhZnMwyi48iWt16NO7tE494+jTnbch2wuK2jgxdzMG/DcfxxKkN0FIehUABD2oTisUHNERfE8QVEZHubj6VhweZT2Hs+W3QUh6FVKTG2cxQeGtiESwoRkc1JkoQfDiTjrV+Pu+yQvbrw1KlxT+9GmNa7MTx0bMmtKRa3tZSaV4w3NhzD9/svsaW2jlRKBW7tEIFHbmiGCF830XGIyAkcTs7FSz8cwd/nskRHcVhuGhUm9ojB9L5x8HXXio5DRE7gr1MZmPvzMRy65DyzHje0QE8dHh7YBHd2iebs9zXA4raGik0WfLztDBZuPY1CB1pjS860aiUmdIvBozc05cRTRFQnWQYj3vzlOFbtTnL62TUbipdejUcGNsWUno2gUnJyEyKqvWMpeZj70zFsPZEuOorTiA1wx2ODmmN4fLjoKLLG4rYG1iZewrwNx3Eph10p7CHYS4cXhrfCsHZ8sxJRzZgtVizbeR7vbjyBPCdfak2UNhHemDuqHddjJKIaKzSaMW/DcSzdcY43HO2kW2N/vDaqLRpziF+VWNxeR0puMZ749gC2n+S42obQt1kQXhvdll2Viei6Ei/k4H/fHsCJ1ALRUZyeSqnAxO4xeHxQc475IqLr+utUBp787iDH1TYArVqJB/s3wfR+ceyqfBUWt9fw/f6LmL32MFsEGpinTo2nhrTAXV2judYXEVVgNFvx7m8n8PG2M7CwSaBBhfno8fKINrixVYjoKEQkM/nFJrz20zGs3J3E+WgaWMswb7x9WzxahXuLjiIbLG6vkmUw4rk1h/DToRTRUVxazyYBeHdse87cSUQAgOMp+Xhk5X4cS8kXHcWl3dE5CrOHt4abViU6ChHJwJbjaXjmu0NIzi0WHcVlaVQKPDSgKR7o34TzJIDFbQW/H03FU98dQnp+iegoBCDIS4f/uyMB3eMCREchIoGW/HkWc38+hhKzVXQUAhAX5IH37+zAlgIiF2axSnj956P4ZPtZ0VHoXz3iAvB/dyYg0MXXxmVxC8BqlfDGhmNYtO2M6Ch0FZVSgVk3NsOMfnHspkzkYgwlZjz29QFsOMyeNHKjUyvx4i2tcWeXaNFRiKiBZRSU4MGv9mHnGS69Jjeh3np8cFcHdIzxEx1FGJcvbvOKTXhkxX5sPs6pyuVsQItgvHN7PNdeJHIRF7IKMW3pHnZDlrnRHSLw2qi20GvYTZnIFexLysaML/chJY/dkOVKo1LgmZtbYkrPRqKjCOHSxe2Z9AJMW7oHp9MNoqNQDUT4umHRhI5oE8FlKYic2V+nM/DA8n3ILjSJjkI1kBDti08ndkKAi3eFI3J2S3ecw5x1R2G0cIiII7glPhyv39oW7lrXmuneZYvbLcfT8PCK/ZwN2cF4aFVYOKEjejcNEh2FiOzgi7/O4ZV1R2DmbMgOJSbAHYsnd+a6i0ROyGyx4tnv/8GqPRdER6FaahXmjS+mdkGQl+vcfHTJ4nbJn2fxyvqjXErCQWlUCrx1WzxGtI8QHYWIbESSJLz4w2F8seO86ChUR77uGnwysRM6x/qLjkJENlJktOCBr/Zh07E00VGojmID3LHs7q6I8ncXHaVBuFxx++7GE3jv95OiY1A9KRTAc0Nb4e5erjmegMiZWKwS/vftQazed1F0FKonrVqJt2+Lx/D4cNFRiKiecgqNmLJkN/Yn5YiOQvUU7KXD0ru7oEWo889yrxQdoCG9su4IC1snIUml/55zfz4qOgqRS/nwww/RqFEj6PV6dOzYEdu3b6/X/kwWKx5euZ+FrZMwmkv/PVf8nSQ6ChHVQ3p+Ce74eCcLWyeRll+CsYt2Ys8555/h2iWKW0mS8NyaQ/jsD67F5WwWbT2Dp1YfhIt1QCASYtWqVXj00Ufx7LPPYv/+/ejduzeGDBmCpKS6FTIlZgvuX7YX6w9etnFSEkmSgGe+P4SvOT6PyCEl5xRh7KIdnK3eyeQWmTD+s13Y7ORdzJ2+W3JpYfsPlu/iXWRnNrVnI7wwvJXoGEROrWvXrujQoQM++uij8sdatmyJkSNHYu7cubXaV5HRgnuW7safpzJtHZNkQqkA3hwTj1s7RoqOQkQ1lJZfjNsW7sD5zELRUchOtGollkzpjB5xgaKj2IXTt9zO/uEwC1sX8PmfZzH/txOiYxA5LaPRiL1792LQoEEVHh80aBD++uuvWu3LbLFixvK9LGydnFUCnvj2ANbsvyQ6ChHVQF6xCZM/383C1skZzVbcu3QvDl7MER3FLpy6uP1wyyks5cybLmP+byex+E92PSeyh4yMDFgsFoSEhFR4PCQkBCkpKbXa19PfHcLm4+m2jEcyZZWAx745gB8PJIuOQkTXUWyyYNoXe3Dkcp7oKNQACkrMmLx4N06nF4iOYnNOW9yuTbyEN385LjoGNbCX1x3Bt3s5MQ2RvSgUigrfS5JU6bHrefOXY/iG71GXYrFKeOzrA9jtAhOZEDkii1XCwyv2Y9dZvkddSZbBiAmf7kJyTpHoKDbllMXtrjOZeOLbg3Du0cRUFUkCnlx9EBuPpIqOQuRUAgMDoVKpKrXSpqWlVWrNvZalO87hg82n7RGPZM5oseK+ZXuRxO6ORLLzzHeH8Cuvm1xScm4xJny2C1kGo+goNuN0xe2ptALcu2wvjGar6CgkiMUq4dGV+3Gcs/wR2YxWq0XHjh2xcePGCo9v3LgRPXr0qPb5G/5JwYs/HLZXPHIAWQYj7v5iN/KKTaKjENG/3v/9JFZxZnOXdjrdgPuX7YXJ4hy1k1MVtxkFJZi8+G/kFvGD09UZjBZMW7oHOYXOcyeKSLRZs2bh008/xeeff46jR49i5syZSEpKwv3333/d5x1PycesrxNhZW8al3cyrQAPfrUfFv4xEAm37UQ63uVknATg73NZePnHI6Jj2ITTFLeSJGHmqkRczHaufuNUd0lZhXhoxX5YeRFFZBNjx47F/Pnz8fLLL6N9+/bYtm0bfvrpJ8TExFzzOXnFJtz/5V4UGi0NmJTkbNuJdLz8I1vxiUS6lFOER1bu501HKrds53l8vdvxW/GdZp3bDzaf4gRSVKWHBzbFrBubiY5B5JLuXbqHY7moSv93ZwJuiQ8XHYPI5RjNVty2aAcOXMgRHYVkRqdW4vsZPdEq3Ft0lDpzipbbveez8O5Gdqugqr2/6SS2HE8THYPI5Xz2x1kWtnRNz353COczDaJjELmcl9cdZmFLVSoxW/HAV/uQ78BzIzh8cZtbaMLDKxJhZr8KugZJAmZ9fQAZBSWioxC5jAMXcvD6z0dFxyAZyy8x46EV+51mEhMiR7Bm/yV8uTNJdAySsbMZBjz93SHRMerM4Yvb/60+gEtOtj4T2V6WwYjZaznGi6ghFJssmLkqESYLbzrS9R28mIv/+/2k6BhEsvbhhx+iUaNG0Ov16NixI7Zv316n/aTkFuP5Nf/YOB05o3UHL+PnQ5dFx6gThy5ul+86j18Os8sb1cz6Q5fxk4O+UYkcyXu/n8SZDHY3pZr5cMtp7D2fLToGkSytWrUKjz76KJ599lns378fvXv3xpAhQ5CUVPvW12e/P4T8ErMdUpIzen7tYYdcdURIcWuLO1Dp+SV4/edjdkhHzuyFtf841ULVRHLzz6VcfLLtjOgY5EAsVglPfHOA69MTVeGdd97B3XffjXvuuQctW7bE/PnzERUVhY8++qhW+1mbeAm/H+P8I1RzGQUleMkBlwdq8OLWVneg5qw/gvxi3n2i2skoMGL2D+yeTGQPZosVT64+yDkQqNbOZBjw8bbTomMQyYrRaMTevXsxaNCgCo8PGjQIf/31V433k2UwOs0aptSwvt9/CZsd7KZIgxe3trgD9eepDKxNTLZjSnJmPx5IxoZ/UkTHIHI6i7adweHkPNExyEEt2HwKF7IKRccgko2MjAxYLBaEhIRUeDwkJAQpKTW/jnnpx8PIZK81qqNnvj/kULMnN2hxa4s7UCVmCwfDU7299ONhFJssomMQOY3zmQZODET1UmyyOmQXOCJ7UygUFb6XJKnSY9ey+VgaG4SoXi7nFmPehuOiY9RYgxa3trgDtWjrGU5UQvV2ObcYn/1xVnQMIqcxb8NxlHDMJNXTb0dT8ftRThRJBACBgYFQqVSVrpHT0tIqXUtXxWyx4pV1vGFE9bfi7yScSS8QHaNGhEwoVdc7UBeyCvHB5lP2ikUuZuGW05xcisgGEi/kYD1nIicbeZE9a4gAAFqtFh07dsTGjRsrPL5x40b06NGj2ucv35XEBiGyCbNVwpu/OEbrbYMWt/W9A/XubyfYMkA2k19iZjdKIhuY+9NR0RHIiVzIKsKXO8+LjkEkC7NmzcKnn36Kzz//HEePHsXMmTORlJSE+++//7rPyy824T1e45AN/fxPCvYlyX/ZtgYtbutzB+pkaj7W7L9kz3jkgpbvOo/zmbyrSVRXvx9Nxa6zWaJjkJNZuPUMioxsvSUaO3Ys5s+fj5dffhnt27fHtm3b8NNPPyEmJua6z/tk+1n2TiObe/0n+S/D2uDdkut6B+rd306Aq0uQrZkskkMNkieSE4tVwhsb5P9BR44no6CErbdE/5oxYwbOnTuHkpIS7N27F3369Lnu9lkGIz7nvCJkB3+fy8JvR+Q9L0KDF7d1uQN1PCUfP3PpFrKT9Ycu43ByrugYRA7nhwOXcCLVMSaYIMezaNtptt4S1cGiradRUGIWHYOc1LxfjkGS5NviKGRCqdregVqw+RRk/DskJ8CZk4lq75NtfN+Q/WQUGLFs5znRMYgcSl6xib0eyK5OpBZgy/F00TGuSS06QHXOpBdg/UGuz0X2te7AZTx1UwsEe+tFRyFyCH+dysCRy3l1fv7Fj6bCkpdW6XHPhKEIGDQdFkM2srcsQfG5/bAWG6CLag3/G+6Dxj/imvvMT9wAw+FNMKWXXthpQ5vAt89E6MKbl29TcHgzcrZ+AclUDM92g+DXf2r5z8y5qUhd9TzCJs2HUude59dGtrNo6xlM6BYLN61KdBQih/D17gswsMcD2dlnf5xF/xbBomNUSfbF7dId5znWluzOaLHiix3n8MTgFqKjEDmET7afqdfzwya9C1j/m/3emHEeaaueg0eLnpAkCWnfzYFCqUbQ6Oeg1Lojb/capK56DuF3fwSltuqbUMUXDsGjZV/obmgJhVqD3F2rkfr1Cwi/+wOovQJhKcxF1ob3EXDzo1D7hiLt25egi24L97jOAIDMXz6EX9/JLGxlJNNgxA8HLmFs52jRUYhkz2qV8MWOc6JjkAv441QGTqTmo1mIl+golQjpllxTRUYLvtt3UXQMchFf7Uri2opENXAqrQBbTtSvS5LK3QcqT7/yr6JTf0PtGwZdVFuYs5NhTD4O/0EzoAtrBk1AJPwHTYdkLIbh6NZr7jNo+BPw6jAU2pDG0AREIeCmhwDJiuLzBwAA5pwUKHTu8GjZB7qwZtBHt4MpIwkAYDiyBQqVGu7Nq187khrWlzuTREcgcggbj6biQlaR6BjkIuQ6aZmsi9sfDyYjr5gD4qlhZBea8O1e3kwhqs5nf5y16TwIksUEw5Et8Gx3IxQKBSSLCQCgUGvLt1EoVVCo1Ci5eKTm+zWVAFYLlPrSO8tq/whIphIYU0/DUpQP4+UT0AbFwlKUj5zty+F/4/Vn7ScxDl3KxYELOaJjEMne4j/lWWyQc/p+/yVZLjcl6+J2+S7eraWG9Tk/GIiuK7fIhO/32/YmUOGJnbAWF8CjzUAAgMY/EirvYORs/QKW4gJIFhNyd34DiyEbloKar6mbvfULqDwD4BbbHgCg0nsicOhMZKx7BylLZ8GjzQC4Ne6I7M2fwavjMJhzU5G8+GEkfzYDhmN/2PQ1Uv1wghyi6zuSnIedZ7jmODWcErMVy2V4bpbtmNvDybxTSw3vTLoBe85loVOsv+goRLK07mAyik3W6jeshYKDv8KtcUeovQIAAAqVGkGjnkHmz+/h4nt3AAol9LHtoW/cscb7zN31LQqPbkXInXMrtAC7N+sB92b/dT0uTjoIU/p5+N94P5I/vheBw5+AysMPl5fOgj6qDVQevjZ7nVR3Px5MxnPDWsHHTSM6CpEsfblLfkUGOb+Vuy/gwQFNoFAoREcpJ9uWW7bakijf7b8kOgKRbNm66745Nw3F5w/AM35whcd1oU0QPuV9RD26CpEPLkPI7S/DWpQPtU9otfvM3fUdcnd8g+DbX4E2uNE1t5PMJmT9+hH8Bz8Ac/ZlSFYL9NFtoQmIhMY/AiWXj9f79ZFtFJusWM1hI0RVMlus+PnQZdExyAVdyinCrrPy6jEgy5bbYpMFPyRy+R8SY/3By5g9vBV0ai49QXSlsxkG7E/Ksek+Cw5thMrdB27/zlh8NaXOAwBgyroEY8op+PYef9395e5ajdy/ViHk9pehC2t63W1z/loJfeOO0IU2gTH1NGD9b0I5yWquMJszibcm8RKm9rr2zQoiV/Xn6UxkF5rq9FzJakHOH1/BcGQLrIZsqDz84NH2Bvj0GAuFonIbWOaGBSg4sAF+A6bBu/OIa+638PhfyN35NUzZlwGrGWq/cHh3HgXPNgPKt+HSbM5hbeIldGscIDpGOVkWt3+czEBBSe0nkqrJGzRj/bsw/PN7hedpw5ojbOLb19yvMf08cv9YjpKUU7DkpVX5huYb1HnkFpmw9Xg6BrWuvoWIyJX8eMC2Nx0lyYqCQ7/Bo81AKJQVbyYZjv0Blbs3VN7BMKWfQ9ZvH8O9aTe4NepQvk3Gureh8gqAX9/JAEq7Iuds/xKBw5+A2icEloJsAIBCq4dS61Zh/8b08yg8tg1hk98HAKj9IwGFEvkHfoXK0w+mzIvQVlMcU8M6eDEXF7IKEeXPz1GiK62rx7k5b+e3KEj8GQFDZ0IbGI2SyyeR+fN7UOrc4d2p4rVu4YkdKLl8HCrP6oduKd084dP9dmj8owCVGkWn/0bmT/NLb2Y27sil2ZzI+oOX8fKINtCo5NEhWJbF7cYjqXV6Xk3foPpGHRF486P/PVF1/V+DZC6B2jcU7s17InvTp5V+zjeo8/np0GUWt0RXWXfQtsVt8blEWPLS4dnuxko/sxRkIXvTp7AYcqDy9INn6wHw6XlHhW3MeenAFS0L+ft+AixmZKyZW2E7n553wrfXXeXfS5KErF8WwG/AtPI1c5UaHQJufhRZGz+CZDHB/8b7ofYKtOXLJRtYd/AypveLEx2DSDaMZit+OZxS5+eXJB+DW5Ou5desap8QFB7dBmPKqQrbmfMzkLVxIYJvfxlp375U7X710e0qfK/pNAKGfzah5OIRuDXuWGFptrLtTRlJQFxnLs3mYPKKzfjjVAb6Nw8WHQWADItbq1XC78fqVtzW9A2qUGug8vSr8X51Yc2gC2sGoHT2zavxDep8fj+ahhKzhV2Tif51Ki0fJ1ILbLpPt0YdEPPkuip/5t3pFnh3uuW6zw8d93qF7yOnf16j4yoUCoSOf7PS4+5NusC9SZca7YPE2HA4hcUt0RW2n0yv17KZushWyN//M0xZl6Dxj4Ax7QyKLx6B/8Bp5dtIkhUZ696Bd9fR0AbF1PoYkiSh+PwBmLIuwvffnjZXLs2m8g6G8fIJeLa9oXxptpA7X6vza6KG9/Ohyyxur2VfUjYyCuq2ZlJN3qAAUJx0CBfevwtKnQf0UW3g22divWbE5BvU+eSXmPHnqQwMaBEiOgqRLGw5ni46AhEOXsxBWl4xgr31oqMQycK6g/WbSMq76xhYSwxI/uR+QKkErFb49pkAj1Z9y7fJ2/ktFEoVvDpe/4bj1awlBlz8YFLp2uUKJQIGTYdbowQAFZdmk8zG8qXZMn6aX740W9rqVwCrGT49x8GjRa96vU6yr41HUmGxSlApxc+aLLvi9tc6dkkGavYGdWvcEe4tekHtHQRzbipytn+J1JXPIGzSe1Co67bEAN+gzunPU5ksbon+tf1khugIRJAk4LejaRjXNVp0FCLhJEnCluNp9dpH4dFtMBzegsDhj0MTFANj6hlk//4JVJ4B8Gw7ECUpp5C394fS6+RaLvei0LohbMr/QTIWo/h8IrI2fQa1b2h5l2UuzeY8sgtN+OdSLuKjfEVHkV9xW9fxtkD1b1AA5V2HAUAbFAttaFNc+mgqik7vrlfXYb5Bnc9fpzNFRyCShRKzBX/LbKp/cl1bT7C4JQKAYyn5dZ4luUz2lsXw6TamvCFIGxQLc14acnd+U1rcXjgMqyEXlz6a8t+TJCuyN3+GvD1rrzscRKFQQuMXXrrfkMYwZV5E7o5vKo3HBf5bmi1g2GMVlmYDUL40m3uTrvV6rWRfO85ksri9WlJmIc5mGOr8/OreoFVRe/pD7RMEU7btJkrhG9Q5HEvJQ7bBCD8PregoRELtPZeNIpOl+g2JGsCec9miIxDJws4z9b8JL5lKKkzMB5QWpZBKl0LzaNMf+tj4Cj9P+/oFeLQeAM+2N9TuWJJU2kW5ClyazfHtOJ2J+/uKnxNBVsXtvqT6fWBV9watiqUoD+a8jFpNMFUdvkGdgySVfnAMaRsmOgqRUNtPsUsyyUemwYhTaQVoEuwpOgqRULYobt2adEHuX6ug8g6CNjAaxtTTyNu9pnwWe5WbN1Ru3hWfpFRD5eEHTUBk+UOVlmbb8TW0oU2h9gsDLCYUnd4Dw+FN8B80o1IGLs3mHPacy4LZYoVa8JJAsipu99ezuK3uDWo1FiH3j6/g3rwHVJ7+pWNuty6Fys0b7k27l+/n6jeoZDHBlHGh9IdWMywFmTCmnoFCqy/vblGGb1DnsoPFLRH+4Hhbkpk957JY3JJLkyTJJsNF/G+4Dznbv0TWrx/CWpgLlac/PNsPge9VS69V5+ql2aymEmRt/BCW/Ewo1Fpo/CMROOyxCsMDy14Hl2ZzDgajBQcu5qJjjO0aDOtCIUmSJDTBFYa//wcOXcqt8/OtJYXI2f4lCk/uKH+DurfsC9+ed0Ch0sBqKkH6d3NgTDsDa7EBKk8/6KPbwbf3eKi9g8r3k/LVU1D7hCBw6EwAgDk3FZcW3l3peLqoNhWWopAkCanL/wfvbrdVWE6i8NTf5W9Q394T4BU/uM6vkRpWk2BP/Darb/UbEjmpYpMFrWf/AotVNh8VRBjdIQLv3N5edAwiYY6l5OGm+dtFxyCq4InBzfFA/yZCM8imuC02WdD2xV9gssgiDlG5/c/fyHG35LISL+Rg5Ad/io5BVEGUvxu2/2+A6BhEwnzx1znM/uGw6BhEFfRpFoSlU8WuFy+2U/QVDl7MZWFLsnQiNV90BCJhDifXvTcNkb1cyCpCWl6x6BhEwhy8yHMzyc/xlDzREeRT3NZ3vC2RvbC4JVd2JFn8BxVRVU6kFoiOQCTM8VSem0l+UvNKkFtUv+Wp6ks2xe1hXkCRTPECilwZz80kV6fTeW4m12SxSjjJaxOSqVNpYhuFZFPc1md9WyJ7YsstuSqrVcLxFP79kzyxuCVXdT7TgBIzl5UkeRLdKCSb4vYci1uSqZNpvIAi15SUVYgik6X6DYkEYHFLrupMOq+ZSb5ENwrJorhNzy9BfolZdAyiKmUZjMgoKBEdg6jBXcopEh2B6JpOp/ECn1wTezuSnInuMi+L4vZidqHoCETXxQ8SckWXczkbLclXSl4xDLwxTi7obCavSUi+zgjuVSOL4patAyR3GflsuSXXk5LLczPJG68fyBVxGSySswyDUejx5VHcZvPDieQtU/AblUgEttyS3GXx3EwuiH/3JGdGsxX5xeKWA5JFcZvOVjGSucwCfpCQ60lhcUsyl82LfHJB2YVi1xElqo7IGzCyKG4NRo6ZIXnLMvAGDLmeFHZ9I5nLKmRxS66HLbckdyJ7PMqiuC0o4VITJG/slkyuKIetAyRzbLklV2OxSsgT2OWTqCZE9niURXHL2Q5J7tgtmVxRIXvVkMxlGXiRT64lu9AISRKdguj6RPZ4lEVxW8DilmQup4gXUOR6DEb2qiF5y2G3ZHIx/JsnRyCy55csilu2DpDcWaxW0RGIGpQkSTCa+XdP8ma08G+UXIvJwmZbkj+zVdzfqSyKWwPH3JLMiXyTEonACyhyBFb2zyQXo1CITkBUPbPAawi1sCNfga0DttfYvRgAP/RtJUyrEh2BqEGZ2VvB5jRKCVF6zkBtS75KzmRPrkUBVre25qGyIkTHc4ktuSvE/T5lUdzqNLJoQHYqCyI2otWFFaJjOA8pDsBNolMQNRgLeyvYnLfajN8V06GwcMyczSiGAeghOgVRg2HLre35aUzY6PYMVIZU0VGch/IpAG3EHFrIUa+iU7NVzNZuO3szigLE/FE5JZVGdAKiBqXX8Lxsa5lGDfIDE0THcC5KWdyjJ2owrG1t72KxDh96Pig6hnNRiTs3y6K41bPl1uYMZhWmFT0ASeshOopzULK4JdeiUSmhVfHcbGsHtCxubUrJmzDkWthyax9vn49DUuQw0TGch0or7NCyuHLRqWURw+n8keWD5YGPio7hHATegSISxY1jzW1uTV5z0RGci0onOgFRg1KwurWb8ZdGw+IRLDqGcxDYKCSLqpLdku3nuTOtcTZypOgYjo8tt+SCPFjc2tyatCBY9X6iYzgPd3/RCYgalJeeN9vtJalIj0WeD4iO4RwEDueTRXHLbsn2NSZpFIy+TUTHcGzuAaITEDU4dx0vomzNIimRGtBFdAzn4REoOgFRgwrw0LFrsh3NO98UFyNuFh3D8em8hR1aFlWlp46tYvaUadTgEcvDkNR60VEcl0+k6AREDY4tt/axA+1ER3Ae7ixuybWolAr4uYsbz+gKxiePgZXnlvrxjRJ2aFkUt+G+LLrs7ef0QPwYyq4WdcbillyQnwcvoOxhZWac6AjOgy235IICeG62q3NFenzqzdmT68U3WtihZVLcuomO4BIePtURKRGDRMdwTCxuyQVF8NxsF3/neMPkEys6hnNg6wq5oABPFrf29tq5ZkiOuEl0DMek1ABe4eIOL+zIV2Bx23BuvXQnzN7iugo4LB/+zsj1RPq5i47gtM54c9ytTXhwPgRyPYGenCW8IUy4fBusbryBVmve4YBSXIkpi+I2gt2SG8ylYh2eVc2ExIXva0fg2AEiUSL9eOPRXjYZW4uO4AQUgGeI6BBEDY7FbcM4XeiGxb4zRMdwPAK7JAMyKW7ZctuwVl0OxZaIe0XHcBxKDeAZKjoFUYNjcWs/S1NjICk4YVe9+EQBWg/RKYgaXLQ/e9U0lFfOtuCQvtryjRF6eFkUt+5aNXzdOWNyQ5p6qieywnqLjuEYvMOEdq8gEoXdku3ncrEWhkDOmlwvQc1FJyASIi7YU3QElzIhZSysblxTu8bYclsqhnehGpQkKTA2bTIsHuzSVS2OtyUXFeSlg5uGrYv2cljfUXQEx8billxUXBB7LDSkkwY3LPXliiM1Jngon2yK25Zh4hb7dVUnDW6Y6zYLkkI2fwbyxOKWXFjLMC/REZzWOgOLs3oJbik6AZEQEb5uXIe8gb14tiVSw28QHcMxsOW2VKtwFrcifHoxCnsiJ4uOIW8RHUQnIBKmXaSv6AhO6+uUMEhadi+ss6AWohMQCaFQKNCCjUINblLaHbDq/UTHkD//xkIPL5vitjWLW2HGnR6I/OBOomPIV3R30QmIhGkb4SM6gtMqsSqREcglgeqM3ZLJhbFXTcM7VuCO5X7TRceQN5/o0qWABJJRcesDtVIhOoZLMlkVmJBzL+9GVUXnA4S0EZ2CSJj4KBa39rRbGS86gmPybwzoeHFPrqt1OM/NIjx/tg3SwgeKjiFfjcRPViub4lavUaEF70IJk5jniQ+8Z9XqOdvOmzF8RSHC386H4qU8rDlmuua29/1YBMVLeZi/s+S6+zRZJLy8tQRx/5cP/Zw8xC8swIZT5grbLD9oQtS7+fB/Iw9P/Fpc4Wfncqxo9n4B8kqkWr2Wa4rqwpmSyaU1DvSEp47rYtvL11lNREdwTLG9RCcgEqpzLGfvFWVS2p2w6n1Fx5AnGZybZXXVnhDFlkOR3k6Kw5GoO2u8vcEoIT5EiQU366+73ZpjJuy6ZEG4V/Ut889tKsGivUa8P0SPIw944v6OWoxaVYj9ly0AgIxCK+75sQhv3ajHL+M98MUBE9af+K+onr6+CK/foIO3zka9AGLYJZlcm1Kp4LARO9qS5QeLp9guXA4pVnzrAJFITYI9EeKtEx3DJR0tcMdK/9p1T66uQWjymtJGoCu/un1quO4++y0xVHqO4qU8DP2qsHybBm0QAljcXq1zI96FEu22M0NRFFizbrhDmmowZ4Aeo1tee43iS3lWPPhTMZaPdoOmBn9tyw6a8EwvHW5uqkFjPyWmd9ZicJwab+8wAgDOZEvw0Skwto0GnSNU6N9IhSPpVgDAV4dM0KoU181Ta9E9bLcvIgfVKZY3Hu0pyY/jbmtNBhdQRKJ1bxwgOoLLeuZMW2SE96vx9jVpELqpiQqXH/Ms//rprusvk/rdWPcK2/8z3QMqBXBbq9LeVg3eIOQbI3ymZEBmxW3fpkFQcdytUAaLEvcYHrDJDJ5WScKE74vwRA8tWgfXbMr6Egugv6oHpJsG+COptGtyU38lCk0S9l+2IKtIwu5LFrQLUSGrSMILm4uxYMj1W5FrRaXjTMlEAHo1CRIdwaltNbcVHcGx+DcWPmEJkRz0iAsUHcGlTUm/C5KuZj2batIgpFMpEOqpLP/yd7t+TeTvVnH7jWfMcNcAt7UqPUaDNwjJpEeNrIpbH3cNEqJ8RcdweX9m+2BZwKP13s8bfxihVgIPd9XW+DmD41R4Z6cRJzMtsEoSNp42Y+0xMy4XlHaZ8HNT4IuRbpi4pghdPinAxHgNBjdR4/Ffi/FQFy3O5liRsKgAbT4swLdHrj0GuEYiOgJqdvkh6hjjxzUV7WhZaiwk8MZujcnkAopItB5N2HIr0qF8D3wTYLvZk7ecMyP4zXw0e78A034oQprBWqvnf7bfhDvaaOChLf08adAGIUAWk0kBMituAaB/i2DREQjAC2db4WzUyDo/f2+yBe/tMmLJSDcoFDW/aHvvJj2a+ivR4gMDtK/k48GfizGlvQaqK3YxqqUGh6Z74tTDXnixnx5bzplxKM2CaR21uOPbIswfrMfq291wdx1ODBVwvC0RAECrVqJ7HC+i7OV0oRuKA1qLjuE4WNwSAQAi/dwR5e8mOoZL+9+ZeGSG9an3foY0UWP5aDdsmuSOtwfpsDvZggFfFKLEXLPxsH9fsuCfNCvu6fBfg1KDNggBshkuIrvidgCLW9kYfW40jH5N6/Tc7UlmpBkkRL9bAPXLeVC/nIfzuRIe+7UEsfPzr/m8IA8l1tzhDsMzXjj/qCeOPeABT60Cjfyq/lMtMUuYsb4Yi4a54VSWFWYr0DdWjeaBKjQLUGLXRUud8gMAGvWt+3OJnMzAliGiIzi1Yx4dRUdwDEoN0PQG0SmIZKN3Uw4bEW1K5nhI9VyabGwbDYY206BNsArDm2vw813uOJFpxfqT5uqfDOCzfUa0CVaiS0TFXlYN1iDkFwv4RNb9+TYku+K2ZZg3wn1s3ExOdZJtUuNh88OQ1LX/95jQToOD0z2QeP9/X+FeCjzRQ4tfxl9/gDwA6NUKRHgrYbYCq4+aMKJ51UuRvLKtBEOaqNEhTAWLFTBb/7vDZbIAlrpOAOcVztYBoisMbBGMWnTCoFraUNhSdATHENcfcOMEZ0RlhrUNEx3B5R3M88R3gbbrngwAYV5KxPgqcTKz+oKz0CRh5WET7km4/vhZV2kQkl1xCwD92HorGxvSA/BDyINV/qzAKCExxYLElNI3w9lsKxJTLEjKtSLAXYk2waoKXxolEOqpQPPA/+4qTfy+CE//9t/U5LsumvHdURPOZFux/bwZNy0vhFUC/tez8tjXw2kWrDpsxsv9S3/WIlAJpUKBz/YZsf6ECccyrOgcXsdxgu1u4/q2RFcI9tajXaSv6BhO66uU8FrfSJy7vQSdPymA19w8BL+Zj5ErC3E8o+LFiSRJeHFLMcLfzofbq3not8SAw2nVX8DM31mC5gsK4PZqHqLezcfMDcUovqJ7XIMvL1Gm9Wjb75PIgXVrHIBgL84PItpjp9sjO7SnzfaXWWjFhVwrwmqwjObXh00oMQPj212/uLVbgxAAtBtbjyfbliyv3m9uw7tQcvLI6Q64HDG40uN7ki1IWGRAwqLSdbhm/VqChEUGvLC5pMb7Tsq1lk8WBQDF5tK1blt9UIBRq4oQ4aXEH1M94Kuv+OaWJAn3rivGu4N15QPn3TQKLBmpx8vbSnD3D8VYcLMeEd51/BOPr/l6v0SuYnRChOgITivfrEZOYO26Jm89b8YDnbXYebcHNk5wh9kKDPqyEAbjf+fUeX8a8c4OIxbcrMfuaR4I9VTgxmWFyL9O4bn8oAlP/VaC2X11OPqAJz67xQ2rDpvw9G+l5/YGX16ijEoHtBhq230SOTilUoFh7Th7uBzcnT3pmquNXK9BqMAo4fFfi7HjghnncqzYcs6M4SuKEOiuwKgW/xWsVzcIlflsvwkjW6gR4H7ta167Ngj5xwGxtivs66vqvp6C9WwSgAhfN1zKKRIdhf41+tKd2O59BOq8C+WP9YtVQ5pdsynQAeDco5XHI2yZ7FHh+76xahx5oPpliBQKBf6c6lHp8WHNNBjWrJ7Tmoe2A4LZRZDoaiPah+PV9UdhtNRjXA5d0z5NBwzEnzXefsP4iufAxSP0CH6rAHsvW9AnRg1JkjB/lxHP9taVL/fwxUg3hLyVj68OmXBfp6pnst9x0Yye0SqMa1v6nFhfJe5so8HfyaUXZVcuLwGgfHmJoc3stLxEmSYDAX3NP3OIXMUt7cPx+Z9nRcdweftyPbEm7n6MuvRWpZ/tSbag/xeF5d/P+rUEQAkmxWvw0VA9DqVZsPSACTnFEsK8FOgfq8aqMW7wuuImYVKuFUpFxQL2RKYFfyRZ8Ot1hvxdr0HogZ+KUWJG/RqEEsbX7Xl2IsviVqFQ4LZOkZj/20nRUehfl4u1eNp3JuYpn4TCaoMZ1eSMrbZEVfJ112JAi2BsOJwiOopTWp3TFAPr8fzcfzvNlK2NeDZHQkqBhEFx/33U69QK9I1V46+LFtzXqer99IpW48uDRfj7kgVdIlQ4k23FT6fMmBRfWrBeubxEjK8Suy9ZMLW9tnx5ic2TKt94tAl2SSaqUvsoX8QEuON8ZmH1G5NdzTzdAf1je8A35a8Kj1fXIPTL+OrPm1c3CAFAswBVtQ1Ndm0QUqiA9uPqtw8bk2W3ZAC4rVMUlJy8RFa+SQnF5oj7RMewL6UaaDtGdAoi2RrTUR6zITqjnzMCYHUPrNNzJUnCrF+K0Su6dI4DAEgpKG1hD/Gs+GEa4qEo/1lV7mijwSv99ej1uQGaV/IQ938F6B+rwlO9SruzNfjyEgCg9QKaD7HNvoic0HB2TZaNe7InQdLa6Saf3DQdBHiFik5RgWyL2whfN/RsUrcPebKfu091t8l6XrIVNwDw5IRmRNfSr3kQAj2r7s5K9SNJClzy71qn5z74UzEOplqw4tbKa15efZ9Ykio/dqUt58x4dXsJPhyqx757PfDd7W5Yd8KMV7b+N59Cgy0vUab9OEBX/ZAVIld1W6dINgrJxJ5cL/wY7OSNQWU6TBCdoBLZFrcAcHunKNER6CqSpMDtqZNg8XDSNS/j7xCdgEjW1ColRrbnxFL28qe1Xa2f89BPRfjhhBmbJ3kg8ooxU6Gepf+fUlBx8qi0Qgkhntf++H9+cwkmtNPgng5atA1RYVRLDV4bqMPcP0pglSpPRGXX5SUAAAqgq4tcKBLVUUyAB9cjl5FHTndEbkg30THsyzMEaFp5wlnRZF3cDmodAj93O0xKQfVyutANc91mQVLI+s+n9vQ+QHPOxElUnck9Y6FmE4FdLE9vXONtJUnCgz8V4btjZmya6I5GfhXPyY18FQj1VGDjGXP5Y0aLhK3nzOgRee1ZMQtNUqUWIJVCAQmlrb5Xs+vyEgDQ9EYgIK6eOyFyfnf3aiQ6Av1LkhS4N3cyJI0Td0+OvwNQyW/6JllXJzq1CpN78I0qR59ejMLfkVNFx7CtztMATe3WmSRyRZF+7hjWjku22cOhfA+U+DWr0bYP/FSMLw+a8NXo0hk1UwqsSCmwoshUWk0qFAo82lWL17aX4PujJvyTZsHkNUVw1yjKZ0IGKi8vMbyZGh/tMWLlPyaczbZi42kznt9cjFuaq6G6quq16/ISZbreX7/nE7mIbo0D0CaCM4rLxa4cb/wcMk10DPtJmCg6QZXkV25fZXLPWHy6/QzyS8zVb0wNavzp/tgbeQDeabtFR6k/jQfQbYboFEQO476+cViTmCw6hlM65dkJrbNPVLvdR3tKJ2vq90XFGVIXj9BjcvvScdH/66lFkVnCjJ+KkV0koWukCr9OcL/u8hLP9dFBAQWe21SMS/kSgtwVGN5MjVcHVrz5Z/flJQAgsHnpEkBEVCN392qEmasOiI5B/3rgdGcciO4C79S/RUexrUZ9gMAmolNUSSFJVXUykpd5G47hwy2nRcegKrTzLsAa1VNQFmWJjlI/3R4AbnpNdAoihzJ58d/YcjxddAyn82j0GTya9pzoGPIw9B2g892iUxA5DJPFil5vbEJqXkn1G1OD6O6Xi6/Mj0FhcqKlmqZsAGK6i05RJVl3Sy5zT+/GcNPUs1sT2cXBPE984D1TdIz6UemAHg9Vu9m2bdswfPhwhIeHQ6FQYM2aNfbPRiRj9/flOEh7WJ4SBUnJ+SbgEw0kyG8mTiI506iUmNKTQ/rkZEe2D35xpu7JcQNkW9gCDlLc+ntoMa5rtOgYdA1vn4/DP1F3iY5Rdx0mAt7Vjx80GAyIj4/HggULGiAUkfx1axyADtG+omM4nXSjBvlBCaJjiNf/aUDNZaeIamtS91gEeelEx6ArPHC6M/KDO4mOYRv95d2zyCGKWwC4r09jaNUOE9fljD0zBIWBbUXHqD2NB9DniRptOmTIEMyZMwejR4+2cygix/H0zS1FR3BKB7UuXtwGtwLacWk2orpw06rw8AB5jod0VRZJiekFd0NSV16L3KE0HQxEdrzuJqJ7OjpMtRjsrcek7jGiY9A1GCxKTDPMgKT1FB2ldrrdD3hxXTiiuuoc648hbUJFx3A6a/Obi44g1oDnAaXDXKIQyc4dXaIRE+AuOgZd4Y8sH/wW6sDdkxVKYOAL1W4muqejQ31yPDSwKQI82EVJrv7M9sEXAQ40/tbND+j5iOgURA7v6SEtoVU51MeJ7H2XGgyr3ld0DDGiugItbhadgsihaVRKPHVTC9Ex6Cr3n+6CgqAOomPUTcJ4ILRNtZuJ7unoUFcj3noNZg2q2fp/JMaLZ1viTOQo0TFqpvdjgN5HdAoihxcd4I5JPdizxpYskhJpAV1ExxDjhhdFJyByCkPahqFLI3/RMegKFkmJBwrvhqTWV7+xnGi9SnvUOACHKm4B4I7O0VygWuZuPT8KJX4yvwkRnsB1bYls6KGBTeHPnjU2tVPRTnSEhtduLBDTQ3QKIqfx/NBWUCqq344aztZMP2wOu0d0jNrp9SjgGSw6RY04XHGrUiowZ2RbvlFlLNukxkOmh+U7aF6lBUZ8CCi5vBSRrXjrNXiMPWtsakWGi00I4x4I3PS66BRETqVtpA+XBpKh+053hyGovegYNeMbA3R/UHSKGnO44hYA2kf54o4uXBpIzn7N8MeakAdEx6han/8BIa1q/bSCggIkJiYiMTERAHD27FkkJiYiKSnJxgGJHNO4LtHsAmdDu3K8YfJ2oe7eN70OuPPvh8jWnhjcHLGcXEpWTFYFHiqcBkkl8yWbFCpg1CJA4zjdqB2yuAWAJ29qgXAfx/lFu6KZpzsgOeIm0TEqCosHetVt0qs9e/YgISEBCQmlS3TMmjULCQkJeOGF6meOI3IFCoUCb9zaDnqNw360yM5ZHxcZd9t0ENDuNtEpiJySXqPCG7e2g4K9HmVlU6YftobfLTrG9fWeBcR0F52iVhz2CsTHTYO3b2/P7skyd+ulO2D2lkkru1JT2h1Zpa7T0/v16wdJkip9LVmyxLY5iRxYo0APPD7IxZexsaFNxtaiI9if1hMY9q7oFEROrWvjAEzs5kI9QRzEtNM9URgYLzpG1SI6An2fqvXTRPd0dNjiFgC6xwXg3j5xomPQdVwu1uJJxUxISo3oKECfx2s0hTkR1c/dvRqhW2N2L7WFZakxkBROPj/ADS8CPpGiUxA5vSeHtEC0P7sny4nJqsAjxdMgqWQ2IaPGAxj9SZ0ahET3dHTo4hYAHhvUDO0iuZyLnK1ODcHv4feJDRHStnTpHyKyO4VCgbdui4eXrm69JOg/l4p1KAxsKzqG/TQbAnSZJjoFkUtw16rxxq3t2OtRZjZm+OOP8KmiY1R001wgoG4NiKJ7Ojp8catRKTF/bHu4a538zraDm3a6OzLD+oo5uFIDjPwQUMmg9ZjIRUT6uePN2+I5xssGDus7io5gH96RpedmImow3eMC8BiHjsjOPad7yedGZothQMdJolPUmcMXtwDQOMgTLwyr/ey31HAkSYHbUifB4hHa8Acf9g4Q5oLrRRIJdlObUNzfl0NH6mu9oYXoCLan1ABjPufsyEQCzOgXh0GtQkTHoCuUWJWYVXKv+O7JXmHALe+LzVBPTlHcAsAdXaIxtlOU6Bh0HWcK9XhVPxOSogH/7Lo/CHSY2HDHI6IKnhjUHL2bBoqO4dC+Tg2FpPUQHcO2Br8KRHetdrNt27Zh+PDhCA8Ph0KhwJo1a+yfjcjJKRQKvH17PBoHOdl5xcFtSA/AjvDJAhMoSnvTOPhNR6cpbgFgzqg26N44QHQMuo7PL0Xh78gGmva8+VDgxlca5lhEVCWlUoH/uyMBkX5uoqM4rCKLCpkBnUXHsJ12dwBdazYPg8FgQHx8PBYsWGDnUESuxUuvwaLxHeHBYX2yMuV0HxQFCJr8tP8zQNwAMce2IacqbjUqJRaO74hGgbwTJWfjT/dDXoid124MbQvc+gmgdKo/cSKH5OehxcLxHbn+bT3sVrUXHcE2IjsDw+fXePMhQ4Zgzpw5GD16tP0yEbmopiFemDdGpsvQuKgSqxKPGe9t+FVGutwL9P1fwx7TTpzuSsPHXYPPJ3eGrzsnD5Irk1WBu7Kmwepmp1Z2z1DgzlWAs3XjI3JgbSJ8MH9se6g4TWedfJPdVHSE+gtsDoz7GtCwFZ9ILoa2C8OsG5uJjkFX+Ck9ELsiJjfcAVuPBm56o+GOZ2dOV9wCQKNAD3x0V0doVLyIkqtD+R74P6+Ztt+xxh24cwXgE2H7fRNRvdzUJgyvjeJa03WxKdMPFs8w0THqziscmPCdw4/lInJGDw9siqk9G4mOQVeYcqYPiv1b2v9AjfsBoxY5VU9H53klV+keF8C1vGRuflJjHIq6y4Z7VACjFgIRHWy4TyKypbGdo/HUECec/bcBJPlWPwGTLOl9Swtbn0jRSYjoGp4f1hK3duB7VC6KLCo8Yb4fktKO68WHJwBjlwNqwTM025jTFrcAMLpDJAtcmbvjzBAUBtpomZ7BrwGtRthmX0RkN/f3jcN9fRuLjuFwtlscsNVb7QbcuRIIboAWCCKqM4VCgXlj2uFGLhEkGz+mBWF3hJ3Wmw1oAtz1LaDztM/+BXLq4hYAbusUxQJXxgwWJe42TIek86r7ThRKYPh7QPcZtgtGRHb19JCWuKMzl2+rjWVpjSDBgT7MVDrgtiVATHfRSYioBlRKBRaMS0CPOK48IhdTzvRHiX9z2+7UKwyY8D3g4ZzL9Dl9cQuwwJW7Hdk+WOL/aN2erNQAt34KdJxsy0hE1ABeG9UW47tFi47hME4a3FAc0Ep0jJrRegJ3fQM0v6leuykoKEBiYiISExMBAGfPnkViYiKSkpJsEJKIrqZTq/DJxE7o2ojj4+XAYFHiSct023VP1vsC41cDvs772auQJEkSHaKhfLPnAp5cfRBWl3nFjuX3pqsRd2F1zZ+gdgNuXwo0G2S/UERkd2//ehzvbzolOoZDWNN0A9pfWCo6xvWVXTxFdqr3rrZs2YL+/ftXenzSpElYsmRJvfdPRFUrNlkwY/k+bDqWJjoKAVjddCM6Xlhcv534RgPjvgGCnXveC5cqbgHg+/0X8b9vD8JkcamX7RB8NGb8HTgHuuwT1W+s8wbGrQJietg/GBHZ3Wd/nMWc9UfgWp9ItTc96jyeTH9adIxr8wwp7e4W0lp0EiKqJ5PFise/OYC1icmio7g8D7UF+4Jeqdk1clUiOpXOf+AZZNtgMuQS3ZKvNCohEkumdIGX3o6zj1Gd5P4/e/cdHkXVhQH83ZLd9N47hA6h9947VhREpCrdBspnpamgiIoVVATsoggoVamCEnrvJYSEkN57ttzvj5iVJQmEZJPZ8v6eJ49mMnPn7JLcnTP3zrkaJWZonoFQ3mUNREcvYOxGJrZEVmRi1zp4d3gLroN7F98lBEEo7aUOo3zuocCEbUxsiayEnUKOpSNaYlJ3FgCUWp5WgVfFVAiZ4t4PbnI/MG6TTSS2gA0mtwDQpZ431k7pjCB3LiRvbranemK934yKd3ANAsZvAwJb1lpMRFQ7hrcJxuej28BZzZuPFcnRKpHp3UbqMMoKbg9M3A548iKYyJrIZDK8Mrgx5g5rwto1Elub6IcTwaPv7aAuzwGPfA3Y2U7OY5PJLQA09HfBbzO6oG2Yh9Sh0G1mXm2F+KBBZX8Q1AaY+Cfg06D2gyKiWtG3iR/WTeuMMC9HqUMxW8ftWkodgrE244FxmwEXf6kjIaIaMr5LHawa3x4ejnZSh2LTRl/ri2KP+nffUa4Ehn0E9JsPyGzrroTNJrcA4O2sxg9PdcSItlyOwtw8fGMENK5h/21o91TJiK0bFxgnsnYN/Fzw+/Su6N7ANqZQ3at1mSZeFqKqFOqSi6dhSwGlSupoiKiG9Wjgg03PdEOLEHepQ7FZeVoFXsdUCNkdUji1W8katm1qaI1cM2dzBaUqsvboDcz7/Sxyi7RSh0L/etgvCUuK5kM25D0gcrjU4RBRLdPrBT7adRkf7bzMKve3kMkErno8C3l+qnRBuAQCI741SUVkIrIsxVo93th0Dt8euC51KDbrt/pb0SLu27I/8KwLjPzR6isi3wmT21vEpuXj2TXHcTw2U+pQCECTAFesGtUYfj7Wucg0EVXO3kspeOGXk0jOKZI6FLPxd73vEXxjszQnj+gNPPg54OwrzfmJyCz8diIeL687jfxindSh2BwXpRZHvedDlXn1v41txgEDFgIqJ8niMgdMbm+j1enx0a4r+HT3Feg4VCAJmQyY2KUOZg9sBJXSpmfOE9G/svI1mLfxLNYfj5c6FLPwTt1TGHHz7do9qcoFGPBmyQUUERGAK8k5eOGXUzgRlyl1KDZnVEAC3sp8ETInH+C+j4EGA6QOySwwua3A0evpeG7NCcSlF0gdik0J93LEmw9Eomt9jtYSUVl/nk3EK+vPIDXXtkdxm7vm4vfiSbV3wro9gfs+AdxZo4KIjOn1Aqv2x+C9Py9yFLeWbep+A816DAecvKQOxWwwub2DvCItPtx5Gav+uQaNjm9TTVIp5ZjSIwLTekbA3q4Ka3gRkc3IyCvGnN/PYuPJm1KHIqlL/nOgyrxSsydROQP9FgDtJtbseYjI4sWl5+OV9aex77KE9QBshK+LGgvub4aBzVil/nZMbivhSnIu5m88yz/WGtK1njfeeKAZ6njb9jMCRHRvdp5PwltbziM6JU/qUCSxpf5GNIn7seZO0OR+oN8bgEfY3fclIvrX2qM38Obmc8jM10gditVRyGV4rH0IZg9sBFd7LstUHia392DbmQS8sek84jM5VdkUfFzUeG1IY9zfMkjqUIjIQml0enx34Do+3HnZ5i6kng+NxrPJr5m+4aC2wIC3gNCOpm+biGxCel4xPtl1Bd8duI5inV7qcKxC38Z+eGlQI9TzdZY6FLPG5PYeFWp0WLbnKlbsi0YenyuoEndHOzzVrS7Gdg6Hs1opdThEZAWy8jX4cOdlfHsgxmYeI/FRaXBI+SRkehMl9e6hQJ+5QLOHSyr7ERFV042MfLy//RI2HI/nkm5V1CLEHa8MaoQOdflcbWUwua2ijLxirPznGlbvj0FOIdfGrQxXeyWe7FYX47uEw4VTKYioBlxLzcNHOy9j48mb0NrAldSp0A/gmny4eo04egGdnwE6TgWUatMERkR0iwuJ2Xh320XsvJAsdSgWI9TTES8OaIihzQMg4w3HSmNyW005hRp8E3UdX/19Del5xVKHY5Zc7JWY2LUOJnStw+cDiKhW3MjIx4p917DmcBwKNNY7y+b7+n+hS9znVTvYsy7QaTrQ8nHAzsG0gRERleNwTDo+230Fey6lgBlI+ZoHu+HJbnUxuJk/lAouiXmvmNyaSH6xFj8cjMWKfdeQmF0odThmoa63Ex5rH4pH24XAzYFJLRHVvvS8Yny9PwbfRMUgwwqfyR0RkIh3Mmbe20HB7UpGahsNBeS8cCKi2nclOQdf/X0N64/Ho1DDZ3LlMqBPYz881a0u2tfxlDoci8bk1sR0eoGd55Pw46FY/HUpxeaeL7BTyNC/iT8e7xCKThFenEZBRGYhv1iL307cxE+H43AyLlPqcEzGTi5wyWUaZEVZd95R6QA0HAS0nwSEdaqd4IiI7iIzvxi/HLmB7w9eR0xavtTh1DpntRIPtgrChK51uGqIiTC5rUHxmQVYf+wG1h2LR3SqdS9VEerpiBHtQvBo2xD4uPCZLSIyXxcTc/DLkTj8fvImknOKpA6n2g5ErIJ//PayP5DJgfCuQPMRQOP7AHvX2g+OiKgShBCIupqGjacS8MfZRKt+1E+llKNXQx/c3zIIvRv5wt5OIXVIVoXJbS05FpuBP84mYveFZFxKypU6HJOo4+2Egc38MbhZACKD3aQOh4jonuj1Av9cTcWW0wnYfSHFYh8p+TDiGO6PX/LfBr9IoPkjQOQjgGugdIEREVWBVqdHVHQaNp9KwLaziVaxzJtCLkOnul64r2UgBjbzZw2aGsTkVgI3MvKx+2IKdl9Ixv6rqRbzrIFSLkObMA/0aeyL3o18Uc/XReqQiIhM5nxCNnZfTMaeiyk4dj3DYqot9/LNx6qA9UD9vkC9foB7iNQhERGZhFanx99XUvHXpRQcjE7HhcRsi3nkz9tZjW71vdGtvje6N/CBtzNnNtYGJrcSK9TocCA6DcdiM3H6RiZOx2chNdc8pmJ4O6vQKtQDrULd0TrUAy2C3eGg4tQJIrJ+2YUa7L+SiuOxmTh1Iwtn4rOQU2Qey775uKjRNNAV7cI90SnCC82D3FhRk4hsQla+Bodi0nEwOg0Hr6XjXEI2dGaS7fq5qtE2zBMd6nqiQx0vNPBzZu0ZCTC5NUM3Mwtw6kYWTsdn4kx8NuLS83Ezq6DGRnidVAqEejkh1NMBYV5OaBroitahHgjxdKyR8xERWRohBK6m5OF0fCZOxmXhSnIubmTk42ZmIYp1NdM3q5VyBHs4oEmgG5oEuKJJoCuaBLiyrgER0b9yCjW4lJSLq8m5uJycgyvJubiSkosbGQU1ttSQi70SDfxc0NDfBQ39XAz/7+mkqpkT0j1hcmtB0nKLcDOzEPGZBbiZWYCErAJkF2iRV6xFfrEOhRodtDoBjV4PrU7A3k4OJ7Wy5EulgJNaCed/vw9ws0eIpyPCPB3hxWkSRERVotcLJOUU4kZGAW5k5CM+owBZBRrkFGqRU6hFfrEWhRo9CrU66AWgVsihtpNDrZRDrVSU/NdOAW9nFfzd7BHgZg9/Vwf4u9nzQomIqIoKNTpEp+QhKbsQKTlFSMktQnpeMbILNMguLOmj9UJALpNBJgPk/46wymUyyGWAh6MKXs4qeDurS75c1PByUsHXRQ1fV3uJXx3dCZNbIiIiIiIisnh8SIeIiIiIiIgsHpNbIiIiIiIisnhMbomIiIiIiMjiMbklIiIiIiIii8fkloiIiIiIiCwek1siIiIiIiKyeExuiYiIiIiIyOIxuSUiIiIiIiKLx+SWiIiIiIiILB6TWyIiIiIiIrJ4TG6JiIiIiIjI4jG5JSIiIiIiIovH5JaIiIiIiIgsHpNbIiIiIiIisnhMbomIiIiIiMjiMbklIiIiIiIii8fkloiIiIiIiCwek1siIiIiIiKyeExuiYiIiIiIyOIxuSUiIiIiIiKLx+SWiIiIiIiILB6TWyIiIiIiIrJ4TG6JiIiIiIjI4jG5JSIiIiIiIovH5JaIiIiIiIgsHpNbIiIiIiIisnhMbomIiIiIiMjiMbklIiIiIiIii8fkloiIiIiIiCwek1siIiIiIiKyeExuiYiIiIiIyOIxuSUiIiIiIiKLx+SWiIiIiIiILB6TWyIiIiIiIrJ4TG6JiIiIiIjI4jG5JSIiIiIiIovH5NYETp06hfHjx6NOnTqwt7eHs7MzWrdujcWLFyM9Pb3Gznv8+HH06NEDbm5ukMlkWLp0qcnPIZPJMG/ePJO3S0R0u9WrV0Mmkxm+7O3t4e/vj169emHRokVITk422n/evHmQyWSSxFobfeOWLVuqfY4ffvihws8G9u9E1uH2vlOpVCI4OBjjx49HfHy81OHVipiYGMhkMqxevdqwrfR9iYmJMWy7U594L5KSkvDSSy8hMjISzs7OsLe3R/369fHss8/i8uXLhv3GjRsHZ2fnap+PKk8pdQCW7ssvv8S0adPQsGFDvPjii2jSpAk0Gg2OHDmC5cuXIyoqCuvXr6+Rc0+YMAF5eXn46aef4OHhgfDwcJOfIyoqCsHBwSZvl4ioIqtWrUKjRo2g0WiQnJyMv//+G++88w6WLFmCNWvWoG/fvgCAJ598EgMHDpQkxtroG7ds2YJPP/20WgnoDz/8gDNnzuC5554r8zP270TWpbTvLCgowN69e7Fo0SL89ddfOH36NJycnKQOr9YNGTIEUVFRCAgIMGy7U59YWYcOHcLQoUMhhMCMGTPQqVMnqFQqXLx4Ed999x3at2+PjIwME7wCqgomt9UQFRWFqVOnol+/ftiwYQPUarXhZ/369cOsWbOwbdu2Gjv/mTNn8NRTT2HQoEE1do6OHTvWWNtEROVp1qwZ2rZta/j+4YcfxvPPP4+uXbvioYcewuXLl+Hn54fg4OBaTc6EECgsLISDg4NV9I3W8BqI6D+39p29evWCTqfDG2+8gQ0bNuDxxx+vcrv5+flwdHQ0VZi1xsfHBz4+PiZtMzs7G/fffz/s7e2xf/9+o8+gnj17YvLkyVi7dq1Jz0n3htOSq2HhwoWQyWT44osvjBLbUiqVCvfddx8AQK/XY/HixWjUqBHUajV8fX0xZswY3Lhxw+iYnj17olmzZjh8+DC6desGR0dH1K1bF2+//Tb0ej2A/6ZZaLVaLFu2zDANBah4ml55UzN27dqFnj17wsvLCw4ODggNDcXDDz+M/Px8wz7lTVs7c+YM7r//fnh4eMDe3h4tW7bE119/bbTPnj17IJPJ8OOPP+LVV19FYGAgXF1d0bdvX1y8eLHybzIREYDQ0FC89957yMnJweeffw6g/P6uMv1aeno6pk2bhqCgIKhUKtStWxevvvoqioqKjNqSyWSYMWMGli9fjsaNG0OtVhv6uvL6xsTEREyePBnBwcFQqVSoU6cO5s+fD61Wa9indOrckiVL8P7776NOnTpwdnZGp06dcODAAcN+48aNw6effmo4V+lXaR/+6aefonv37vD19YWTkxMiIyOxePFiaDQaQxs9e/bE5s2bcf36daM2bn197N+JrFfpDazr169DCIHPPvsMLVu2hIODAzw8PDB8+HBER0cbHVN6Hbp371507twZjo6OmDBhAoCa6V+//fZbNG7cGI6OjmjRogU2bdpktN+VK1cwfvx41K9fH46OjggKCsKwYcNw+vTpu77+2699K+oThRCoX78+BgwYUKaN3NxcuLm5Yfr06QBKZmwmJiZi8eLFFd5cHT58eJltV65cweDBg+Hs7IyQkBDMmjWrzHsyf/58dOjQAZ6ennB1dUXr1q3x1VdfQQhhtF94eDiGDh2Kbdu2oXXr1nBwcECjRo2wcuXKMuf9+++/0alTJ9jb2yMoKAivv/46VqxYUSYnAIA1a9agU6dOcHJygrOzMwYMGIDjx48b7RMdHY2RI0ciMDAQarUafn5+6NOnD06cOFHueyEFjtxWkU6nw65du9CmTRuEhITcdf+pU6fiiy++wIwZMzB06FDExMTg9ddfx549e3Ds2DF4e3sb9k1MTMTjjz+OWbNmYe7cuVi/fj1efvllBAYGYsyYMYZpFp06dcLw4cMxa9ase44/JiYGQ4YMQbdu3bBy5Uq4u7sjPj4e27ZtQ3FxcYV36C5evIjOnTvD19cXH330Eby8vPDdd99h3LhxSEpKwuzZs432f+WVV9ClSxesWLEC2dnZ+N///odhw4bh/PnzUCgU9xw3EdmuwYMHQ6FQYO/eveX+vDL9WmFhIXr16oWrV69i/vz5aN68Ofbt24dFixbhxIkT2Lx5s1GbGzZswL59+zBnzhz4+/vD19e33HMnJiaiffv2kMvlmDNnDiIiIhAVFYU333wTMTExWLVqldH+n376KRo1amR49uv111/H4MGDce3aNbi5ueH1119HXl4e1q5di6ioKMNxpdPrrl69ilGjRqFOnTpQqVQ4efIk3nrrLVy4cMFwgfPZZ59h0qRJuHr1aqUej2H/TmRdrly5AqBkBHPy5MlYvXo1nnnmGbzzzjtIT0/HggUL0LlzZ5w8eRJ+fn6G4xISEjB69GjMnj0bCxcuhFwur5H+dfPmzTh8+DAWLFgAZ2dnLF68GA8++CAuXryIunXrAgBu3rwJLy8vvP322/Dx8UF6ejq+/vprdOjQAcePH0fDhg0r/X5U1CfKZDI8/fTTeO6553D58mXUr1/f8LNvvvkG2dnZhuT2zz//hEKhwLBhwyp9Xo1Gg/vuuw8TJ07ErFmzsHfvXrzxxhtwc3PDnDlzDPvFxMRg8uTJCA0NBQAcOHAATz/9NOLj4432A4CTJ09i1qxZeOmll+Dn54cVK1Zg4sSJqFevHrp37w6gpCZQv3790KBBA3z99ddwdHTE8uXL8d1335WJceHChXjttdcwfvx4vPbaayguLsa7776Lbt264dChQ2jSpAmAks9hnU6HxYsXIzQ0FKmpqdi/fz8yMzMr/X7UOEFVkpiYKACIkSNH3nXf8+fPCwBi2rRpRtsPHjwoAIhXXnnFsK1Hjx4CgDh48KDRvk2aNBEDBgww2gZATJ8+3Wjb3LlzRXn/rKtWrRIAxLVr14QQQqxdu1YAECdOnLhj7ADE3LlzDd+PHDlSqNVqERsba7TfoEGDhKOjo8jMzBRCCLF7924BQAwePNhov59//lkAEFFRUXc8LxHZntJ+6vDhwxXu4+fnJxo3biyEKNvfVaZfW758uQAgfv75Z6Pt77zzjgAg/vzzT8M2AMLNzU2kp6eXaef2vnHy5MnC2dlZXL9+3Wi/JUuWCADi7NmzQgghrl27JgCIyMhIodVqDfsdOnRIABA//vijYdv06dPL7c9vp9PphEajEd98841QKBRG8Q4ZMkSEhYWVexz7dyLrUNp3HjhwQGg0GpGTkyM2bdokfHx8hIuLi9izZ48AIN577z2j4+Li4oSDg4OYPXu2YVvpdejOnTuN9q2J/tXPz09kZ2cbtiUmJgq5XC4WLVpU4Tm0Wq0oLi4W9evXF88//7xhe2nfumrVqjLvS+m1rxAV94nZ2dnCxcVFPPvss0bbmzRpInr16mX4vlGjRsLf37/C+G43duzYct+TwYMHi4YNG1Z4XGm/vmDBAuHl5SX0er3hZ2FhYcLe3t7o86agoEB4enqKyZMnG7Y98sgjwsnJSaSkpBi126RJE6P3JTY2ViiVSvH0008bxZCTkyP8/f3Fo48+KoQQIjU1VQAQS5curfTrlwKnJdeC3bt3AyiZZnar9u3bo3Hjxti5c6fRdn9/f7Rv395oW/PmzXH9+nWTxdSyZUuoVCpMmjQJX3/9dZlpKRXZtWsX+vTpU2a0ety4ccjPzzcaYQBgmJZdqnnz5gBg0tdCRLZD3DY961aV6dd27doFJyenMtPGSvvn2/vj3r17w8PD465xbdq0Cb169UJgYCC0Wq3hq7Qmwl9//WW0/5AhQ4xGN++1bzx+/Djuu+8+eHl5QaFQwM7ODmPGjIFOp8OlS5cq1cbt2L8TWbaOHTvCzs4OLi4uGDp0KPz9/bF161Zs374dMpkMo0ePNuqf/P390aJFC+zZs8eoHQ8PD/Tu3dtoW030r7169YKLi4vhez8/P/j6+hr1IVqtFgsXLkSTJk2gUqmgVCqhUqlw+fJlnD9/vipvU7lcXFwwfvx4rF69Gnl5eYbXc+7cOcyYMaNabctksjIjveVd1+/atQt9+/aFm5uboV+fM2cO0tLSyqwW0LJlS8MILwDY29ujQYMGRm3+9ddf6N27t9HsULlcjkcffdSorT/++ANarRZjxowx+v2wt7dHjx49DL8fnp6eiIiIwLvvvov3338fx48fNzwyaU6Y3FaRt7c3HB0dce3atbvum5aWBgBG1dpKBQYGGn5eysvLq8x+arUaBQUFVYy2rIiICOzYsQO+vr6YPn06IiIiEBERgQ8//PCOx6WlpVX4Okp/fqvbX0vps8mmfC1EZBvy8vKQlpZm6G9uV5l+LS0tDf7+/mWe1fX19YVSqSzTh5XX35UnKSkJGzduhJ2dndFX06ZNAQCpqalG+1enb4yNjUW3bt0QHx+PDz/8EPv27cPhw4cNz+hWtX9l/05k2b755hscPnwYx48fx82bN3Hq1Cl06dIFSUlJEELAz8+vTB914MCBMv1Tef1ATfSvlbnenTlzJl5//XU88MAD2LhxIw4ePIjDhw+jRYsWJu9rnn76aeTk5OD7778HAHzyyScIDg7G/fffb9gnNDQUKSkphgS4MhwdHWFvb2+0Ta1Wo7Cw0PD9oUOH0L9/fwAlz/X+888/OHz4MF599VUAZfvVyrx3aWlpRtPNS92+LSkpCQDQrl27Mr8fa9asMfx+yGQy7Ny5EwMGDMDixYvRunVr+Pj44JlnnkFOTk6l34+axmduq0ihUKBPnz7YunUrbty4cceKnaW/gAkJCWX2u3nzptEdleoq/eMpKioyKnJ1e8cFAN26dUO3bt2g0+lw5MgRfPzxx3juuefg5+eHkSNHltu+l5cXEhISymy/efMmAJj0tRAR3Wrz5s3Q6XTo2bNnhfvcrV/z8vLCwYMHIYQwugBLTk6GVqst04dVdh1db29vNG/eHG+99Va5P68oIa+KDRs2IC8vD+vWrUNYWJhhe3ULerB/J7JsjRs3Nqo0X8rb2xsymQz79u0rtwDq7dsq6vdM3b9WxnfffYcxY8Zg4cKFRttTU1Ph7u5+z+3dSb169TBo0CB8+umnGDRoEH7//XfMnz/faJbNgAED8Oeff2Ljxo0VXitXxU8//QQ7Ozts2rTJKBHesGFDldv08vIyJK63SkxMNPq+9N9l7dq1Rp8p5QkLC8NXX30FALh06RJ+/vlnzJs3D8XFxVi+fHmVYzUljtxWw8svvwwhBJ566ikUFxeX+blGo8HGjRsNUztuf4D78OHDOH/+PPr06WOymErXuj116pTR9o0bN1Z4jEKhQIcOHQx3/Y8dO1bhvn369MGuXbsMFzulvvnmGzg6OnJpCSKqEbGxsXjhhRfg5uaGyZMn33X/ivq1Pn36IDc3t8wFwzfffGP4eVUMHToUZ86cQUREBNq2bVvmqyrJbUUjoaUXjbdekAoh8OWXX5bbRmVHN9i/E1mn0jVZ4+Pjy+2fIiMj76m92uxfZTJZmeR78+bNiI+Pv+e2gLv3ic8++yxOnTqFsWPHQqFQ4KmnnjL6+cSJE+Hv74/Zs2dXGMO6devuOS6ZTAalUmmUSBcUFODbb7+957ZK9ejRA7t27TIa4NLr9fjll1+M9hswYACUSiWuXr1a7u9HeTdMAKBBgwZ47bXXEBkZecfcobZx5LYaOnXqhGXLlmHatGlo06YNpk6diqZNm0Kj0eD48eP44osv0KxZM6xfvx6TJk3Cxx9/DLlcjkGDBhmqJYeEhOD55583WUyDBw+Gp6cnJk6ciAULFkCpVGL16tWIi4sz2m/58uXYtWsXhgwZgtDQUBQWFhoqbPbt27fC9ufOnWt4tmzOnDnw9PTE999/j82bN2Px4sVwc3Mz2WshItt05swZwzM/ycnJ2LdvH1atWgWFQoH169dXuG5hZfq1MWPG4NNPP8XYsWMRExODyMhI/P3331i4cCEGDx58x/7vThYsWIDt27ejc+fOeOaZZ9CwYUMUFhYiJiYGW7ZswfLly+95Td7SC8533nkHgwYNgkKhQPPmzdGvXz+oVCo89thjmD17NgoLC7Fs2TJkZGSU28a6deuwbNkytGnTBnK5vMILFfbvRNapS5cumDRpEsaPH48jR46ge/fucHJyQkJCAv7++29ERkZi6tSpd2xDqv516NChWL16NRo1aoTmzZvj6NGjePfdd6u8xvnd+sR+/fqhSZMm2L17N0aPHl2mQr6bmxt+++03DB06FK1atcKMGTPQqVMnw3PA3333HU6ePImHHnronuIaMmQI3n//fYwaNQqTJk1CWloalixZUu5Ie2W9+uqr2LhxI/r06YNXX30VDg4OWL58uWFKtVxeMsYZHh6OBQsW4NVXX0V0dDQGDhwIDw8PJCUl4dChQ3BycsL8+fNx6tQpzJgxA4888gjq168PlUqFXbt24dSpU3jppZeqHKfJSVjMymqcOHFCjB07VoSGhgqVSiWcnJxEq1atxJw5c0RycrIQoqQ62TvvvCMaNGgg7OzshLe3txg9erSIi4szaqtHjx6iadOmZc4xduzYMtXdUE61ZCFKqm527txZODk5iaCgIDF37lyxYsUKo8poUVFR4sEHHxRhYWFCrVYLLy8v0aNHD/H777+XOcet1TSFEOL06dNi2LBhws3NTahUKtGiRQuj6nRC/FdN85dffjHaXl41OyIiIf6rbFn6pVKphK+vr+jRo4dYuHChoT8tdXu15Mr2a2lpaWLKlCkiICBAKJVKERYWJl5++WVRWFhotF9FfWzpz27vG1NSUsQzzzwj6tSpI+zs7ISnp6do06aNePXVV0Vubq4Q4r8+8N13371rm0VFReLJJ58UPj4+QiaTGfXhGzduFC1atBD29vYiKChIvPjii2Lr1q0CgNi9e7ehjfT0dDF8+HDh7u5uaONOr4H9O5HlqUyleSGEWLlypejQoYNwcnISDg4OIiIiQowZM0YcOXLEsE9F16G11b+GhYWJsWPHGr7PyMgQEydOFL6+vsLR0VF07dpV7Nu3T/To0UP06NHDsF9lqyXfqU8sNW/ePEP16YokJiaK//3vf6Jp06bC0dFRqNVqUa9ePTF58mRx+vRpw35jx44VTk5OZY4vb3WTlStXioYNGwq1Wi3q1q0rFi1aJL766qsyryEsLEwMGTKkTJu3vydCCLFv3z7RoUMHoVarhb+/v3jxxRcN1atLK+CX2rBhg+jVq5dwdXUVarVahIWFieHDh4sdO3YIIYRISkoS48aNE40aNRJOTk7C2dlZNG/eXHzwwQdG1f+lJhPiDqUniYiIiIiIbETbtm0hk8lw+PBhqUOpEf3790dMTEyVK+ubO05LJiIiIiIim5WdnY0zZ85g06ZNOHr0KNavXy91SCYxc+ZMtGrVCiEhIUhPT8f333+P7du3G4pCWSMmt0REREREZLOOHTuGXr16wcvLC3PnzsUDDzwgdUgmodPpMGfOHCQmJkImk6FJkyb49ttvMXr0aKlDqzGclkxEREREREQWj0sBERERERERkcVjcktEREREREQWj8ktERERERERWTwmt0RERERERGTxmNwSERERERGRxWNyS0RERERERBaPyS0RERERERFZPCa3REREREREZPGY3BIREREREZHFY3JLREREREREFo/JLREREREREVk8JrdERERERERk8ZjcEhERERERkcVjcktEREREREQWj8ktERERERERWTwmt0RERERERGTxmNwSERERERGRxWNyS0RERERERBaPyS0RERERERFZPCa3REREREREZPGY3BIREREREZHFY3JLREREREREFo/JLREREREREVk8JrdERERERERk8ZRSB0D3rkirQ1aBBln5GmQVaJD5739zCjXQ6oVhP7lMBjulHCqFDE5qJbyc1PB2VsHbWQ13RzvIZDIJXwURkXUp1OiQklOE9LxiZBaU9Mt5RVrohSh3fzu5HB5OKng6qeDlpIKXswou9na1HDURkXXLKdQgLbcYaXlFSMstRn6xDjq9KPkSAlq9gP7f7+2Ucrg52MHdwQ7ujnZwd1DB3ckOruybLQaTWzOVX6xFdEoeYtLycC0lD9fS8nAtNQ8xqXnIyNdUu32lXAZPJxV8XNQI93JCfT9nNPBzQQM/Z4R7OUGp4KA+EdHtCjU6XE3JxZXkXFxKysHlpFxEp+YhKbsQOYXaarevUsrh6aiCn5s9InycDP1yfV8XBHs48KYkEVE58oq0uJCYgwuJ2biQkIOYtDzczCxAYlYh8op11W5fKZfB10WNuj7OqOvjhAgfZ0T8+/+B7g4meAVkKjIhKrilTLUqJjUPR65n4Oj1DBy7noHLyTnQS/Qvo1LIUdfHCU0CXNG+jic61vVCuLeTNMEQEUlECIFzCdmIupqGIzEZuJCYjbiMAugk6pydVApE+DqjSYAr2oZ7okMdT4R4OkoSCxGRVAo1OhyJKblmPp+QjQuJ2bieng+pMhpHlQKN/F3QOtQDbcI80CbcA74u9tIEQ0xupRKXno+d55Pwz9U0HI/NQGpusdQh3ZG/qz061C1JdDvW9UIdJrtEZGWEELiYlIOoq2mIupqGQzHpyDTBTJmaFOBmj04RXuhW3xtd6nnzgoqIrE7pjca/L6fi7yupOHQtHUVavdRh3VFdHyd0jvBC5whvdK3vzWnNtYjJbS06fSMLW88kYPu5JFxOzpU6nGqJ8HHCgKb+GNQsAJHBblKHQ0RUJUIIHIvNwMaTCdhyOgHJOUVSh1QtLULcMax5AIY0D0CAG6fKEZFlKtbqsetCEraeScQ/V1LNfhDoTlQKObrW98bgyAD0a+IHNwcmujWJyW0Nu5aah58Ox2LzqQTcyCiQOpwaEebliGHNA3Ffy0A08HOROhwiors6fSMLm07dxKZTCYjPtL6+WSYD2oZ5YFiLQAyODIC3s1rqkIiI7kgIgcMxGVh/PB5bTicgq8C8Z85UhUohR5d6XhgcGYD+Tfzh5shE19SY3NaAYq0e284m4seDsThwLU2yZwCk0DLEHWM7h2FIZCBUShalIiLzkZ5XjB8PxWLt0Ru4lpondTi1RiGXoXOEF0Z3DEO/xn6Qy1mUiojMR3RKLtYdi8eGE/FWOxBUHpVCjiHNAzC2czhahrhLHY7VYHJrQjGpefjh3wun9DzLnT5hCt7OKoxsF4rRHcPg78ZnwIhIOmfis7Dyn2vYdCoBxWb+nFZNC/NyxNhO4Xi0XQic1VwwgYiks+9yClbsu4a9l1NsaiCoPC1C3DG+czgGRwZwcKiamNyawKWkHHy08zK2nE6QrMKxuVLKZejf1A+Tu0egBe9KEVEtEUJgz8UUfLE3GlHRaVKHY3Zc1Eo82i4E4zqHs+IyEdUanV7g95Px+PyvaFxIzJE6HLPj46LGqPaheKJTGB8nqSImt9VwPiEbH+28jG1nE23+jlNl9Gvih1n9G6CRv6vUoRCRFdt9MRmLt13E+YRsqUMxewq5DPe1CMSs/g0Q7MEkl4hqRrFWj5+PxOHzvVcRl247U4+rylGlwIQudTCpR11WWr5HTG6r4NzNbCzdcQnbzycxqb1HchkwtHkgnu/XgMsJEZFJnYzLxNtbL3CktgpUSjme6BiGGb3qwcNJJXU4RGRFtp1JwNtbLyAmLV/qUCyOu6MdpvaIwNjO4bC3U0gdjkVgcnsPMvOLsfiPi/jpUCynH1eTUi7Dw62DMat/A/i68plcIqq6mNQ8vPvHRWw+nSB1KBbPxV6JqT0jMKFLHV5IEVG1nInPwhubzuHgtXSpQ7F4/q72eKZPfTzaNhhKBZ/JvRMmt5Wg1wv8cCgW7/15ERn51leWXEou9kq8OKAhRncIYwVPIronOYUaLPnjIr4/GAst7zialL+rPWYPbIiHWgdLHQoRWZik7EIs3nYR647f4AxHE6vn64y3HmiGDnW9pA7FbDG5vYuj1zMw9/czOBPPZ7dqUosQdyx8sBmaBrpJHQoRWYDdF5LxyvrTSMgqlDoUq9a1njfeerAZwrz4GAkR3ZleL/DV39fw/vZLKNDopA7HaslkwPDWwXhlcGM+RlIOJrcVyC/W4q3N5/HDoVjedaolCrkM4zuHY2b/BnBUcYkKIiorI68YCzadw/rj8VKHYjPs7eSY2a8BnuxalzNsiKhc19Py8MIvJ3E4JkPqUGyGl5MK8+9viqHNA6UOxawwuS3HkZh0zPrlJK7zwXdJBLk7YOnIlmgX7il1KERkRjafSsDc388gNde21xGXSpswDyx5pAWLARKRgRAC3x24jkVbLyC/mKO1UhjUzB9vPNCMSwf9i8ntLbQ6PT7ceRmf7r7CglESU8hlmN4zAs/0qc8H54lsXG6RFv/79RQ2n2LBKKnZ28kxZ2hTjOoQKnUoRCSxm5kF+N+vp7DvcqrUodg8Hxc1PhrZCp0i+Cwuk9t/xaXn47k1J3D0OqdTmJO2YR74eFQrBLg5SB0KEUngclIOJn93FNEpeVKHQrcY3iYYbz7QjBWViWzUn2cTMeuXk8gp1EodCv1LIZdhZr8GmNYzAjKZ7T5CwuQWwD9XUjHt+2PIKmAlZHPk6aTCByNaokcDH6lDIaJa9PvJm3jp11Oc6mammga6YvnoNgjxdJQ6FCKqJUIIfLjzMj7ceZk1acxUn0a+eP/RlnBztJM6FEnYfHL7bVQM5m88x2UkzJxMBrw0sBEm94iQOhQiqmEanR5vbT6P1ftjpA6F7sLNwQ5LR7REr0a+UodCRDUsr0iLmT+fwB9nk6QOhe4i2MMByx5vg8hg21uFxGaTW61Oj3kbz+K7A7FSh0L34PEOoVhwfzMoWLGTyCql5hZhyrdHcYSPiFgMmQx4tk99PNe3gdShEFENuZ6Wh6e+OYJLSblSh0KVpFLK8e7w5ri/ZZDUodQqm0xus/I1mPbDUfxzJU3qUKgKejb0waejWsNJzeWCiKxJTGoexq46xEr1FmpkuxC89WAkbz4SWZm/L6di+g98fM8SyWTAnKFNML5LHalDqTU2l9wmZBXg8RUHWZzEwjUOcMWqce3g72YvdShEZAIn4zIxYfVhpOVxmR9LNrCpPz58rCXUShaaIrIGm07dxMw1J1Gs00sdClXD1J4R+N/ARlKHUStsKrmNS8/HqBUHEJdeIHUoZAL+rvb4/qkOiPBxljoUIqqG/VdT8dTXR5DHwlFWoVNdL3w5ti2cObuGyKL9dCgWr6w/zeUxrcSjbYOx6KHmVj+7xiwXEP3ss89Qp04d2Nvbo02bNti3b1+124xJzcOIz6OY2FqRxOxCPPbFAUSn8PkPIku183wSxq86zMTWikRFp+GxLw4gLbdI6lCIqIpW/n0NL61jYmtNfj5yA5O/PYJCjXV/3ppdcrtmzRo899xzePXVV3H8+HF069YNgwYNQmxs1Qs/XUnOwaOfR+FmVqEJIyVzkJxThMe+PIBrqZxmTmRp/jibiCnfHUWRltPdrM3p+Cw88nkUUnKY4BJZmi/2XsWCTeekDoNqwI7zyZj07VEUW/HnrtlNS+7QoQNat26NZcuWGbY1btwYDzzwABYtWnTP7V1MzMHjKw4gNZfPcVkzf1d7rJncEWFeTlKHQkSVEHU1DWNXHbLqD1gCmgS44qfJHeFqb5vrLRJZms//uopFWy9IHQbVsCGRAfj4sVaQW+EUZbMauS0uLsbRo0fRv39/o+39+/fH/v3777m9+MwCPPHVQSa2NqB0inIsq6wSmb3TN7Lw1DdHmNjagHMJ2XhytfVPgyOyBmuP3mBiayM2n07AK+tPSx1GjTCr5DY1NRU6nQ5+fn5G2/38/JCYmHhPbWXlazBu5SEkc0qUzbiZVYjHv+JzXkTmLDolF+NWHUJukVbqUKiWHIpJx4wfjkHLaqtEZmvf5RS8vO6U1GFQLfrpcBwWbTkvdRgmZ1bJbSmZzHiIXAhRZtudFGl1eOrbI7iczEJDtiYuvQCTvj2KIi1HCYjMTUJWAZ746hCX+7FBO84nY/avp2BmT0IREYBzN7Mx9btj0Oj492lrPt8bjU93X5E6DJMyq+TW29sbCoWizChtcnJymdHcigghMOvnkzh0Lb0mQiQLcPR6Bmav5d1HInOSU6jBmK8OIT6TFett1bpj8ZzySGRm4jMLMH41Z9PYsnf/uIh1x25IHYbJmFVyq1Kp0KZNG2zfvt1o+/bt29G5c+dKtbFo6wVsOpVQE+GRBfntxE18uOOy1GEQEf676cjZNPTF3misP249F1FEliyroOQRvqRsPs5l615edxon4zKlDsMkzCq5BYCZM2dixYoVWLlyJc6fP4/nn38esbGxmDJlyl2P/e1EPL7YG10LUZIl+GDHJfx+8qbUYRDZvM/2XMWf55KkDoPMxMvrTuNMfJbUYRDZvFk/n+BNRwIAFGn1mPztUSTnWP6yqWaX3I4YMQJLly7FggUL0LJlS+zduxdbtmxBWFjYHY+7mJiDl361zqpfVHUv/nIS525mSx0Gkc3650oq3t9+SeowyIwUakouojLz+ew1kVRW7IvGjvPJUodBZiQxuxAzfjgOnd6yn702u3VuqyKvSIthn/yN6JQ8qUMhM1TXxwmbnu4KR5VS6lCIbMrNzAIM+/hvFpCicvVu5Iuvxra9p4KRRFR9J+Iy8cjy/SwgReWa3KMuXh7UWOowqszsRm6rYs5vZ5nYUoWiU/Lw+oazUodBZFOKtXpM/f4YE1uq0K4LyficjxIR1aqsAg1m/MDKyFSxL/ZGY4cFP0pk8cnthuPx+NWKKnxRzfj12A1s5PO3RHf12WefoU6dOrC3t0ebNm2wb9++KrXzwY5LVlOcgmrOkj8u8vlbolo0e+1J3Mhg1XqqmBDAS+tOIcNCb05bdHKbmFWI1zeckToMshCvbTiDhCx26EQVWbNmDZ577jm8+uqrOH78OLp164ZBgwYhNjb2nto5fSOLxf2oUrR6gRfXnoJGp5c6FCKr921UDP44a7kjclR7UnOLMW+jZc56tOjkds5vZ5DDdbmokrIKNFz/lugO3n//fUycOBFPPvkkGjdujKVLlyIkJATLli2rdBsanR4vrj1p8QUpqPacT8jG8j1XpQ6DyGyZYkZNYlYh3tl2sQaiI2v124mb2G6B05MtNrnddiaBS0vQPdt3ORW/nYiXOgwis1NcXIyjR4+if//+Rtv79++P/fv3V7qdz3ZfxYXEHFOHR1bu411XcDmJvzdEtzPVjJq5v59BLgeE6B69uv40svI1UodxTywyuc0u1GDOb5Y5VE7Se3PzeeQUWtYfKlFNS01NhU6ng5+fn9F2Pz8/JCYmVqqNi4k5+HT3lZoIj6xcsU6PF9eegp4j/kRGTDGjZse5JE5HpipJzinCgk3npA7jnlhkcvv21gtIzimSOgyyUCk5RXjvT667SVSe25dlEUJUaqkWnV5g9tqTKOazk1RFJ+IysfKfa1KHQWQ2TDGjJr9Yi7m/c0CIqu7XYzfw16UUqcOoNItLbo/EpOPHQ/c2FYPodt8euI6zN1mhk6iUt7c3FApFmVHa5OTkMqO55VlzOA4nb/Bviqrng+2XkMKb10QATDOj5oPtlxCfyWKaVD1vbjpnMbU0LC65fWvLeQjLeG/JjOn0Aq9tOAPBXyYiAIBKpUKbNm2wfft2o+3bt29H586d73hsbpEW72/nbAiqvrxiHT7aeVnqMIjMSlVn1FxIzMaqf2JqKCqyJZeTc/HzkTipw6gUi0pu/zibiOOxmVKHQVbieGwmfjvBtW+JSs2cORMrVqzAypUrcf78eTz//POIjY3FlClT7njcsj1XkJrL0TYyjZ8OxyImNU/qMIgkV90ZNe9svQCthYy2kfn7YPslFBTrpA7jriwmudXpBZb8wRLmZFof7rxsMdMsiGraiBEjsHTpUixYsAAtW7bE3r17sWXLFoSFhVV4TFJ2Ib76m89JkulodALv8vOeqFozag5dS8fui5bznCSZv+ScIny5z/zXsLeY5PbXYzdwOTlX6jDIylxLzcP641waiKjUtGnTEBMTg6KiIhw9ehTdu3e/4/4f7byMQg2LSJFpbTmTgJNxmVKHQSS5qs6oefePC7UUIdmSL/ZGm/1MLYtIbou0Ony4g8/gUM34eNdlaFnhleiexablW8wzOGRZhAAWbT0vdRhEkqvKjJp9l1NwOCajFqMkW5FbpDX7uggWkdz+eDCWld6oxlxPy8c6jt4S3bNlf12FRsdp/VQzDkSn40B0mtRhEEnuXmfUcECIatJPh+PMevTW7JNbvV7gK657RzWMo7dE9yYjrxjrj9+QOgyycnyem+je7L+SiiPXOWpLNadYq8e3UdelDqNCSqkDuJvt55MQl171UdsbyyZAl51cZrtzqyHw6j8VurwMZOxZjcKY49AX5kEd0hSefSfDzjOowjZzT+9A2palZbaHzloHmVJVss/Z3cj862sITSGcm/eHR68Jhv20WUlIWvM6AsYuhVztWOXXRqYTl16AzacTcH/Liv/dieg/3x+8zmdtqcbtPJ+E62l5CPNykjoUIouwgjeEqBZ8f/A6pvaMgL2dQupQyjD75HZlNf9IA8Z+AOj/uwArTr2O5DWvwalRFwghkLzuTcjkSvg89BrkKkdkH96ApDWvIXDiMshV9hW2K1M5Iuipz423/ZvY6vKzkL7tY3gNfg5Kd38kr50PdWgkHCPaAQDS/vgMHj3GMbE1M99GXWdyS1QJGp0e3x4w37u2ZD30Alj1Twzm3ddU6lCIzF5cej72XCw7oENkaqm5xfjtRDxGtAuVOpQyzHpa8rmb2Th4Lb1abSgc3aBw9jB8FVw5BKV7ANQhkdBm3ETxzYvw7D8N6oAGsPMKhmf/qRDFhcg7/9edG5bJjNpVOHsYfqTNTIRM7Qinxt2hDmgA+9Dm0KTGAgDyzu2BTKGEY8M7l3Cn2nfkegYuJGZLHQaR2dt06iaSss33eRuyLmuP3kBOoUbqMIjM3g+HYsHVDam2rPw7RuoQymXWye1KEz9rK3Qa5J3bA+fm/SCTySB0JR+WpSOuACCTKyBTKFF049yd2youwI1l43Hj07FIXjsfxUlXDT9TegZBaIpQnHQVuoIcFCdcgsonHLqCHGTu+x6e/e5cvp2k8x1Ho4juis9BUm3KLdJizWFW5Sa6k2KtHj/z74Rq0cWkHOy9ZH5rKZttcpueV4zfT940aZv5lw5AX5gLp2Z9AAB2nsFQuPoi86+voSvMhdBpkHXgF+jyMqDLrXjE2M4zGF5Dnofvw6/D+74XIVPYIfG72dCkl1TcVdg7w3vI80jd9D4Sv5kJp2a94VC3DTJ2fwWXNkOhzUrCzVXP4OZX05B34W+Tvkaqng3HbyK3SCt1GERm6+j1DJyJ5wwHql1fR8VACA5JEVVk65kEpOUVSx0G2ZhvomKkDqEMs33mduPJmyjWmrZYSe6pP+FQtw2ULl4AAJlCCZ8HX0Ha1g9x48ORgEwO+/CWsK/b5o7tqIMaQR3U6L/vg5sgYfWzyDm2CZ59JwMAHBt0hmOD/6YeF8aegiblOjz7TcHNLybBe9iLUDh5IOGbmbAPaQaFk7tJXytVTW6RFuuPx+OJjhWvH0dkyzZw2SySQFx6AQ5dS0eHul5Sh0JkljjzjKSw52IK0nKL4OWsljoUA7NNbteb+AJKm5WMwusn4fPgK0bb1f71EDj+Y+iL8iB0Wigc3ZDwzUyo/OtXum2ZTA61f31o0ssfaRZaDdL/XAavobOgzUiA0OtgHxoJALDzDEJRwkU41utQ9RdHJvXz4Tgmt0Tl0OkFtpxOqNKxQq9D5t8/IO/cHujzMqBw8oBTZF+4dR4BmazsJKK0bZ8g9+Q2ePR+Cq7t7q+w3ZwT25B3dhc0KSUXdir/enDvPgbqwIaGfVi93jpsOBHP5JaoHFeSc3E4hsv/UO3T6gU2nryJcV3qSB2KgVkmtzGpeTgRl2nSNnNPb4fC0Q0O/1Ysvp1cXbLMgCY9HsWJV+DebXSl2xZCoDj5Gux8yk+IMvf/BPu6baD2r1fybK5e99+xeq1RNWeS3un4LC49QVSOf66kVnnaW/aBtcg9sRVeQ56HyjsURQmXkbb1Q8jVjnBta5y85l+KQlHCRSicPe/abmHcaTg17gF138aQKe2QdfBXJP08B4ETP4XSxZvV663IltOJmH9fM6iUZvtEFZEktp0xr5uOQqdF1oFfkHdmJ7Q5abDzDIJHz/FwuGVmJG86Wo/1J8wruTXLT4jNVRwZqIgQeuSe3gGnZn0gkxuvx5R34e+SKcOZici/fABJa16HY/2OcKjT2rBP6qb3kPHXasP3mX//gILoo9BkJqI4KRppWz9EcXI0XFoOKnPu4pTryL+wF+5dS5JlpWcwIJMj5+SfyL96GJq0G1AFVH6UmGrHplOm/R0ksgYbq1EHoejmBTjU6wDHiHZQuvnBqVFXOIS3QnHiFaP9tDmpSN++HN5DXwDkd7//6jPsRbi0HgKVX13YeYXAa+DTgNCj8PrJkvZYvd5qZBVosO+y+RUvIZLaH2eTqnRc6U1Hz35TEPjkMrj3HI/sQ+uQc3RjmX3v5aZj5r5vS9rtOxmBTy6DS6vBSFn/lqH4aulNR49eE+D76ALkntmJ/KuHDcfzpqNlORmXibj0fKnDMDDP5NbEiUVhzAnoslPg3LxfmZ/pctORuul93PxyCtJ3fA7npr3gfd+LRvtos1Ogy/1vuoe+KA9pf3yCmyumIOnn16HLSYP/qLeNpsEBJSO66X98Ao/eTxnWzJXbqeE1+Dlk7f8RaVs/hGe/KVC6eJv09VL1VXXqJZG1Ktbq8cfZxCofrw5ugsLrJw2F94qTo1F44xwc6rY17COEHqmb3odrh4egqmAmzN0ITRGg10Fu7wKA1eutjalvfhNZuvjMApyOz6rSsTV10zHv7G64dXoUDhHtYOfuD5dWg2FfpzWyD60vaY83Ha3O1irOHqgJZjctOSY1D+cSTFuJ06FOa4T9b1O5P3Ntex9c2953x+P9R71t9L1nn6fg2eepu55XJpPBf/S7ZbY71msPx3rt73o8SefszWzEZxYgyN1B6lCIzMJfl1KQXVj1SuKuHYZDX5SHm19OAeRyQK+He/cn4NSkh2Gf7ANrIZMr4NLmzn3ynWT89TUUzl5wCG8JwLh6vdAWG6rXp25Zaqhen/zrG4BeC7cuo+DUqGuVz001b8e5JGh0etgpzPLePFGt+7OaNx1zjm+FJj0edp5BhpuOt17jVuWmo9BqAIXKaJtMqULhv8ts3nrTUeHqi+KES3CO7Gu46ej32MIqvyaSxubTiZjUPULqMACYYXK752Ky1CEQASi5iBrbOVzqMIjMwvZzVb+AAoD883uRd3YPvIe9ADufMBQnRSNj55dQOHvBObIPihKvIPvo7wgY+yFkMlmVzpF1cC3yz/8Fv8cWGa1fzur11iO7UItD19LRpR5nPBEBqNaMmpq66WhfpzVyDm+AfUhTKD0CUBhzEgWXD0KIkpozvOlofU7dyDSbqslml9z+czVN6hCIAAA7zjO5JSoVFV29vjljzyq4dRxuuGhS+YRDm52MrAO/lCS3cWehz8tC/LLx/x0k9MjY/RWyj/yG4Kkr79h+1sF1yIr6BX4j3oTKt+LCFqxeb/mirqYxuSUCkJ5XXK0qyTV109Gz7ySkbfsYN1dMBQAoPQLgFNkXead3GPbhTUfrIgRwIDodQ5oHSB2KeSW3Or3AwWpeQBGZytHrGdDq9FBy+hvZuBsZ+YhLL6hWG0JTBNxWfVMmkwOipFq8U7NesA9vYfTz5J/nwKlpbzhH9r1j21kHf0XW/jXwe3QB1Hcp0Mfq9ZavujdaiKzFvssp0OlFlY+vqZuOCkc3+D70GoS2GLqCbCicvZD512oo3fzK3Z83Ha3D/qupTG5vdyY+q1rPdBGZUn6xDmdvZqNFiLvUoRBJKsoEM2oc6rVH1v41ULj6QOUdiuKkq8g+vMFQ6E/h4AqFg6vxQXIlFE4esPMKNmxK3fQeFC5e8OgxDkDJVOTMfd/Be9iLULr5GYr/yVT2kKuMn5kvrV4fMO5jAMbV6xXOHqxebyFO3chEfrEWjiqzuoQhqnVHr1dvbduavOkIlDxnq3TxhtBpkX9xPxwrmF7Mm47WwVxuPJrVJ8N+TkkmM3PoWjqTW7J5pvjA8uw7GZn7vkP6n59Bn58FhbMnnFsOgnuXkffUjjY7xehiLOfYFkCnReqGRUb7uXV5DO5dHzd8f6fq9enbl0HoNKxebyE0OoEjMRno3sBH6lCIJHWkGlOSgZq76Vh08yJ0OWmw86sLXU4qsv75ARB6uHV4uEwMvOloPaJT8pCcXQhfV3tJ4zCz5DZV6hCIjByKScdT3etKHQaRpA6Y4MajXO0Iz76T4Nl3UqWPKW/K2+3V6+/2LG4pVq+3LlHRaUxuyablFWlxMSmnWm3U1E1HoS1G5r5voclMhFzlAIe6beA1ZBbk9s5Gx/Gmo/XZfzUND7QKkjQGmRCi6pP1TUivF2g27w/kF+vuvjNRLfFwtMOx1/tVuXorkaW7npaHHu/ukToMIiOtQt2xfloXqcMgksw/V1Lx+IqDUodBZGRE2xC8M7y5pDGYTaWcmLQ8JrZkdjLyNbiSnCt1GESSORGXKXUIRGWcjc+GVsfn8Mh2VXdKMlFNOB2fJXUI5pPcXkys3tQKoppy5qb0f6hEUjmfwL6ZzE+xTo+YtHypwyCSzNFYJrdkfq6m5FargrcpmE1ye57JLZmpq8l5UodAJJnzCdlSh0BUrsvVfN6QyJKd4413MkNFWj1i06W98Wg2ye3FRF5AkXnitGSyZZxVQ+bqMvtmslGZ+cVIzS2WOgyicl2S+Maj2SS3F3gBRWbqagovoMg25RZpkZhdKHUYROWS+gKKSCpXUzijjMyX1LNqzCK5LSjWST6ETVSR62n5LFxCNukaL6DIjF1O4o1Hsk3RvOlOZuySxH2zWSS38ZkFMI8FiYjKKtZJ//wAkRSiU3kBRebrWmoebzySTYrjNQmZMaln1ZhFcpvMaW9k5q6lcgSLbE9CFvtmMl/FOj2fOySbdCOjQOoQiCok9bWDeSS3OUVSh0B0R2m8gCIblJbLvpnMWyp/R8kGxWVw5JbMV3ahRtJZNWaR3CZx5JbMXHo+k1uyPWl5/L0n85bO31GyQSkcFCIzJoS0fbNZJLccuSVzl8ELKLJBnLFA5o7JLdminEKt1CEQ3ZGUN8eZ3BJVAi+gyBbx957MHWcXkC1ickvmzuZHbvlcF5m7DE5LJhvEvpnMXXoef0fJthRpdShmlXAyc1LWQzCL5LZAo5M6BKI74ggW2SKOipG5Y99MtoajtmQJbH7ktkjDO1Bk3vKKeAOGbE+Rln0zmTf2zWRrcpnckgXIL5aubzaP5FbLDycyb1o9L/KJiMyNTgipQyCqVRy5JUug10vXN5tFcquT8A0gqgz+ihIRmR+djp0z2RY+b0uWQCvhhbNSsjPfgomD6a2r/yccUSB1GFZDOHoB6Cl1GERkwZwUevwUsQ12QiN1KNbDMxJAG6mjIKo1KoVZjEtZlQjHAnwa9KfUYVgVleMAAA0kObeZJLfMbk0tSBcHv5s7pQ7DenjVA7BI6iiIyILl6eRIFy7oEbdM6lCshwurJZNtUSmZ3Jra1XwHCMjQOO4nqUOxHvXqSXZqs/gL4V0o0/tH1lrqEKyLTCF1BERkBSZd7YICr2ZSh2E9FHZSR0BUq5jc1oxHrw1GoWcjqcOwHnLpxk/N4i/Exd4sBpCtyuqU+lKHYF3kTG6JqPqK9HK8WPwUhIQf/FZFoZI6AqJaxeS2ZuRolXi6eAaE0l7qUKyDhDcezeIvxMWed15N7VS2M+9AmZLaVeoIiGqds5oJWE3YlOKDY0FPSB2GdeBNArIxdgqZ1CFYre2pntjkN03qMKyD3OaTW3441YRzTh2kDsF6OHlLHQFRrfN04qhYTRlzrTeK3aV7JslqKNVSR0BUq9QKziSrSU9fbYuUwN5Sh2H57KQbAWdya8V+y+NzXSbj6CV1BES1jsltzcnTKjBPNhVCZhYfw5bL2U/qCIhqlaNaARkHb2vUiMTR0Dmxb6kW1yDJTm0Wn6qcllwzfkoMgFC7SR2GdWBySzbIi8ltjfohIQDng0dIHYZlcw+TOgKiWmWnkMPLiTMWalJ0vj0WOzwPAd5FqDK3YMlObRbJrSuT2xpRpJcjwbuT1GFYB05LJhvEkdua98T1gdC6hkgdhuVyD5U6AqJaF+jOokc17fMboTgZwtoIVeYm3eeaWSS3QR4OUodgtfaKVlKHYB0cmdyS7fF0ZnJb09KK7fCemgVMqozJLdkgf1cmt7Xhseh+yPeOlDoMy2PvDqidJTu9WSS3YV6OUodgtVYm1eO0ClPgyC3ZIE5Lrh3L4sJwLeQBqcOwPAo14OIvdRREtS7AjcltbSjQKTApfxqEnZPUoVgWCUdtAXNJbj2Z3NaUS3kOKPBmYalq86wrdQREtS7Eg31zbRkddz8LmNwrt2Cwsg7ZogB3znisLX+nu+EXnxlSh2FZ3JncwtfVHg52LG1eU047cEmgarFzZNESskl1faSbVmRr4gvV+MKZ05PvCackk43iyG3tmh3dAjeDBkodhuWQsJgUYCbJLQCEcvS2xvya00TqECybVz1AbjZ/KkS1JszLEXIOjNWad67XR0LQAKnDsBxMbslGhfCaudY9Ej8CWhfplrexKJyWXCKUz93WmF+TfKF34FI2VebTSOoIiCRhb6fgRVQtG5v4KPT2HlKHYRmY3JKNaujnwhn5tSy+UI35ds9ByDjT9K44cluivi+nv9UUnZDjhheXBKoynwZSR0AkmYZ+LlKHYFMu5TngJ48pUodhGfi4CNkoJ7WSMx4l8O3NIBwKHi91GOZP4jo1ZpPctgxxlzoEq7Zb11LqECwXR27JhjUKcJU6BJvzyrVIpAX0kDoM8+fbWOoIiCTT2J99sxRGX+2FXN82UodhvlTOgL+0yyeZTXLbKpTTsGrSV4l1IWRm889tWfyaSh0BkWSaBHDkVgpPpT8OoeKMpgo5eLJvJpsWGewmdQg2SaOXYVzWJAg1by6UK6Q9IJd26rbZZDs+LmoEsbR5jYktsEeed0upw7A8zv6ST68gklLrMN54lMKxLGds8p0sdRjmK7wLlwEim9Yi2F3qEGzWkSwXrPZ8VuowzFNoZ6kjMJ/kFgBahbpLHYJVO2HfTuoQLE94F6kjIJKUr4s9Iny4gL0UnrnaGtm+7LfLFd5d6giIJNU8xI33dyQ0/1pjxATfV+n9917XYtiP+Qh8Lwey+dnYcEFj9PNxGwogm59t9NVxRd4d2zybrMPDP+cjfGlJm0sPFJXZ5/tTGoR8kAPPd7Lx4p+FRj+LydSjwce5yC4SlX4ddxXG5NYIn7utWT9n8fmkexbG5JaoUwSrrUtBCBlm5I6HUFZ+TcuauIACgKUHitDwk1w4vJWNkA9y8Py2QhRq/7sgqvULqDrdTNcWkQVytbdjwT+JPRL7MDRu4ZXaN69YoIWfHJ8Mrrg/H1hPgYRZzoavLY/fuWhYvgao6y7H233t4e9c9k5Har4eT24swJJ+9vhjtBO+PqnB5kv/fSZM3VyAt/uq4ao20V0ShRoIbmuatqrBrJLbNpz+VqM2pvhA5+QndRiWJbyr1BEQSa5TXW+pQ7BZe9PdsSdgQqX3r4kLqO9PafDSjiLM7aHG+enO+Oo+B6w5q8HLO0pGCWr9AsrJh8WkiAD0aOAjdQg2LaXYDi/hWQi53V33HVTfDm/2tsdDjSveV62Qwd9ZbvjydLhzn9kuSIF3+9tjZDM7qMt5zDU6Q8BNLcOIZnZoF6RArzoKnEvRAwB+OK2BSiG7Yzz3LKgNoFSbrr0qMqvktnmwO9wcTPgmkxEhZIj14JJAlebkA/g0lDoKIsl1rOspdQg2bdLVLsj3rlz1yZq4gIq6oUWXUAVGRdoh3F2O/hFKPNbMDkcSdAAkuIDiTUciAECPhkxupfZrkh/2Bj1pkrb2xGjh+24OGnyci6d+L0Bynr5a7dX3lCNfI3A8QYf0AoHD8To091MgvUBgzu5CfDKo8rOCKsUMpiQDZpbcKuQydK3PEYKatF3bQuoQLAenJBMBALyc1Wjgx8q9UtHoZZhV9FSlRgcq414voLqGKnH0pg6H4kuTWT22XNFiSH0lAAkuoMI5JZkIANqFe8JZrZQ6DJs34UoXZPl1rFYbg+op8f1DDtg11hHv9Vfj8E0den+djyJt1R/n8HCQ4esHHDBmQwHaf5mLMS3sMKCeEi/8WYin26twLVOPVp/notlnuVh7TnP3Bu/GTJJbs/uL6NXQF5tPJUgdhtVamVAHTymUkOm1Uodi/ur3kzoCIrPROcIbl5JypQ7DZm1N8cbh+mPQPu6rarUzqJ4SjzRRIsxdjmsZery+uwi9v87H0UlOUCvLH8Ed2cwOKXkCXVfmQQDQ6oGpbe3wUteS6We3XkAVaIThAmrCbwWGC6j7fsqHRgfM66nG8CbVTNLrsJgUEQDYKeToFOGF7eeSpA7FpumEHKPTJ+I3+4uQF2ZUqY0Rzf7rF5v5KtA2UIGwpbnYfFlbrZkvDza2w4O3HL8nRovTyTp8Mtge9T7KxY8PO8DfWYb2K/LQPUwBX6cqjnvKFEBIhyrHaUpmNXILAL0b+UIhZ/m3mpJYpEK2Dxefviu5HdBoiNRREJmNwZEBUodg88ZH90KxR/1qtTGimR2GNLBDM18FhjW0w9bHHXEpTY/Nlyu+4bknRou39hXhsyH2ODbJCesedcCmS1q88dd/lTkfbGyH01OdceUZF8zraW+4gHqqjQoj1xZg6QB7/PqoAyZWd6qdsz/gXb33gMia9OTUZLNwOscJn7s9Z7L2AlzkCHOX43Ja9aYm36pIKzBtcyE+H+qAK+l6aPVAj3AlGnor0MBLjoM3dFVvPKwzoDaPGV5ml9x6OqlYWKqGHVXdeyWzRfuK0O7LXLgsyobvuzl44Kd8XEw1/iMQQmDenkIEvpcDh7ey0XN1Hs4m3/kPZfWJ4jKVO2Xzs6WtwgkAdXsCDvw9JCrVLtwD/q4mnl5K9yRPJ8frmAohM91Hd2UuoF7fXYQnmtvhydYqRPop8GBjOyzso8aiv4ugF2X73hq9gKrXt+rHElmhng19pQ6B/vXO9fq4HPKISdpKy9cjLkuPABfTDfi9sbcIg+op0TpAAZ0e0Or/6781OkBXnUvpFiOrH6CJmF1yCwADmvpLHYJV+ymj0T0f89d1Laa3U+HARCdsf8IRWj3Q/7t85BX/95ew+J9ivB9VjE8G2+PwU07wd5ah37f5yLlL4umqhlHlzoRZzrD/d3pcrVfhLNX0AdO2R2ThZDIZhjTn6K3U1iT442yw6S4iKnMBla8RuH1ClUImgwBQTm5bsxdQrR6vxsFE1ifI3QEtgt2kDoP+NTxmWLkzbHKLBU4k6nAiseTm3rUMPU4k6hCbpUduscALfxYiKk6LmEw99sRoMezHAng7yvBgo/+mFI9ZX4CXd/w3yFOs+6/NYh0Qn13y/ZX0sjcrzybrsOasFgt6lTxO0shbDrlMhq+OFWPzJQ0upOrRLrCcksuVYecINLm/asfWALN75hYAhjYPwMIt56HTm3g0jgAAf6Z6QesTBGVOfKWP2Tbayej7Vffbw3dJLo4m6NA9TAkhBJYeLMar3dSGZwO+fsABfkty8MNpDSa3VVXYtgyAv3P591lurcIJwFCFc0iDGqrCCfw7JXmoadsksgJDmwfgq7+vSR2GzRt7fQAOuv8NZXZsmZ/lFgujC5vSCyhPBxk8HWSYt6cIDzdWIsBFjphMPV7ZWVTuBVSQiwyL+paM1A9roMT7UcVoFaBAhyAFrqTr8fruQtzXUFnmMaLSC6gTk0s+M269gPJ3llXvAsqrvtkULCEyJ8PbhuDkjSypwyAAWRolntM+jU8VL0Km++/RjSM3dej1db7h+5l/FgEowtgWdlg2xB6nk3X45qQGmYUCAS4y9ApXYs1wB7jcMngTm6WH/JaZOzdzBFp9/t865UuiirEkqhg9whTYM+6/63YhBCZtKsQHA9RwUpW052Anw+oH7DF9SyGKtMAng+0R5FrFMc/GwwC1+ay5bJbJrZ+rPXo28MHOC8lSh2K1ot07o0HOL1U+Puvfv9fSJSSuZQok5gr0j/jvV0qtlKFHuBL7b+gw+Q4zoXOLgbClOdDpgZb+CrzRS41WASUXP7dW4Qxzl+NwvA4TWqoMVTh3j3WquOGqiugFOLibvl0iC9cq1AMhng6ISy+QOhSbllZsh8WqaXgFL5X5WU1cQL3WXQ0ZZHhtVyHicwR8HGUY1kCJt/oYT1Ov8Quo1k9U7TgiK3dfi0C8sekcirWmez6Tqm5Lijf+qDcFA298aNjWM1wJMde1wmP+GH3369lbE1YACHeX37HNUjKZDP9MKNv+0AZ2GNrABANELR6rfhsmJBOivElF0vvjbCImf3tU6jCs1qzQK3g6eU6VjhVC4P6fCpBRKLBvfMkfy/44LbqszEf8TGcEuvx34TJpYwGuZ+kr/KM9cEOLK+l6RPoqkF0k8OHBYmy5rMXJKU6o71WS4K4/r8GcPUUo0AiMbm6HeT3tMeG3ArTwk6NVgALPbis0XRVOAHjwc7N6doDInLy99QKW/3VV6jAIwK76a1E3bp3UYdQOuR0w8zzgzOI5ROWZ8cMxbOJqI2ZDJhM4Ev4FvBL+kjqUmuUaBDx3BpCbz5Ou5hPJbfo08oW3s1rqMKzW6sQwCEXV3t8ZWwpxKkmHHx92KPOz25/aEqLstlt1DFZidHMVWvgr0C1MiZ8fcUADLzk+PvTfc7W1VoUTABy9gCYPVK8NIis2vE0wZCxobxYej7sPOicbqVHRcCATW6I7GN4mWOoQ6BZCyPBY8hPQO3pLHUrNav6oWSW2gBknt0qFHA+3DpI6DKuVVmyHTJ97r5r89JYC/H5Ji91jnRB8y9Sy0mdmE3ONJwIk5wv4VfA8bXnkMhnaBSpwOb38apo1WoUTAFqPBexYEZaoIvV8ndGtPpMMc5BQqMIy52lSh1E7Wo+VOgIis9a9vg8r2puZS3mO+MD5eYg7DvNYuBajpI6gDLNNbgHg0XYhUodg1Q4qK5/cCiEwY0sB1l3QYtcYR9TxMP7VqeMug7+zDNuj/1srsVgn8FeMFp2DK188RAiBE0k6BFSQENdoFU6ZAmg3sRoNENmG8V3CpQ6B/rXkej3EBw2UOoya5RoMRPSROgoisyaXyzh6a4Y+jq2DsyHm9UyqyQS1AXwaSB1FGWad3Eb4OKNbfSsfzpfQ9+kNK73v9C2F+O6UBj88VFJ4JDFXj8RcPQo0JdmkTCbDcx1UWLivCOvPa3AmWYdxGwrgaCfDqMiKy5jP31OEP65oEf1vRc+JvxfiRKIeU8qprlyjZcwBoNEQwI0fDER307OBDyJ8aqCYG1XJuMRHoHfwlDqMmtPqcbOb9kZkjsZ0DoNayb8VczPi2iAUejWROgzTa2meS7OZ/V/AtJ71pA7Bau1Ld4fGrU6l9l12RIOsIqDn1/kIeC/X8LXm7H/Pxs7uosJzHVWYtqUQbb/IQ3yOwJ9POJapwplwy9TlzEKBSZsK0PjTXPT/Nh/xOXrsHeeI9kHGSeqdqnAu2FuEib8XVq8KJwB0mFz1Y4lsiEwmw7gules7qOZdznPA9+5TpA6jZsjkQCtWSSaqDF8Xe47emqE8rQLTCqdD2DlKHYrpOPuZbXJrttWSb/Xwsv04ej1D6jCs0pb6G9Ek7kepw5Ceb1Ng2n6poyCyGAXFOnRctBNZBZq770y14midz62vMmfjYcCI76SOgshixKXno+eSPdDpzf7y3uZ8EHEMD8YvkToM0+j/JtD5aamjKJfZj9wCwIxeHL2tKZsLI6UOwTz0mC11BEQWxUGlwKgOoVKHQbcYn/Y4hMpZ6jBMRyYHer4idRREFiXE0xHDmgdIHQaV4/mrrZEY2E/qMKrP0QtoO0HqKCpkEcltr0a+aBp490WK6d59kxBsXdMkqiKgJdDkfqmjILI4k7rVhbNaKXUY9K9T2c743ceKpic3fQjws8Ln1Ihq2LRe9bhkm5l6NOEx6Jwt/OZDx2mA6s51N/bu3Ythw4YhMDAQMpkMGzZsqJ3YYCHJLQBM5+htjcjRKpHm3V7qMKTV+3XwU4Do3nk4qTCxK5+9NSfPRbdCtl8HqcOoPpkC6MVRW6KqaODngj6N/KQOg8oRW2CPhernIGQWk4IZc/SuVI2avLw8tGjRAp988kktBGXMYt7ZgU39ERnkJnUYVmm/orXUIUgnrAtQv6/UURBZrCe71YGHo93dd6RaIYQMU7PHQSgdpA6lelo8BnhF3HEXKUcGiMzdrP4NIOd9e7P0VXwIjgWPkTqMqun+IqB2uetugwYNwptvvomHHnqoFoIyZjHJrVwuw9xhnJ5UE75JqfySQFanzxypIyCyaC72dnimT32pw6Bb/JPhhl0BT0odRtXZOQK9X73rblKODBCZu8YBrni0bYjUYVAFRl3tizyfllKHcW/cw8z6WdtSFpPcAkDbcE8MaxEodRhW50iWC4o8bPDitP4AILSj1FEQWbzRHcNQx5vr3pqTKVc7It+7hdRhVE3nZwDXu3/WSzkyQGQJZvVvCCeV4u47Uq0r0svxZO5kiLs8u2pWer8GKFVSR3FXFpXcAsArgxvBwY5/qKZ2wdnGkjylPTBwkdRREFkFO4UcLw9qJHUYdAuNXoaZRU9CyC1syrhrENDlWamjILIKPi5qPM2ZNWYrKsMNP3o/I3UYlRPQEoh8ROooKsXiktsANwdM6XHn53Do3m3MbyZ1CLWr+wt3fZ6LiCqvf1N/9GvCAibmZFuKFw4GjZU6jHvTZy6gsvEK/kQmNLFrHUT4WNDooI15JToSN4KHSB3GnSlUwAOfWUzxVYtLbgFgco+6CHK38GIZZub7xEDrWh/xTnybAF2ekzoKIqvz1gPN4GrPpYHMycTonijysJC6CiEdgeaPSh0FkVWxU8ix4H4bG8CwMMPjHoHW1YzXje8xG/BrKnUUlWaRya29nQKLHoqUOgyrUqBTIMm7k9Rh1DyZHBj2EaCwsKl6RBbA19Uerw1h4T9zkqeT41UxxfyXnVC7Ag99YTEjA0SWpEs9bzzcOljqMKgCiUUqvKZ4FkJmho9dBrYCus6858Nyc3Nx4sQJnDhxAgBw7do1nDhxArGxsSYOsCwz/7SrWPcGPnisPavAmdLfaCV1CDWv7QQgpJ3UURBZrUfbhaBbfW+pw6BbrE30w5mQUVKHcWdD3gc8wqSOgshqzbuvCYI9OOvRXP2UEICo4IlSh2FMoQYeWA7I7z3pPnLkCFq1aoVWrUpyi5kzZ6JVq1aYM6fmVymx2OQWAF4dwj9UU1qVYuVFB1yDSp7nIqIatfDBSDiyQqdZGXOtPzRu4VKHUb7mI4Dm916oRMqRASJL42Jvhw9GtOTat2Zs7NUeyPY1owGYXq8AvlUrFtmzZ08IIcp8rV692rQxlsOik1tntRIfjGgJBf9STeJsjhMKvKx0SqFMATz0JWDvKnUkRFYvxNMR/xvI6snmJEOjxNvKqRAws89Lj3Bg8JIqHSrlyACRJWoX7onJLMpqtjR6GcZlPQWhdpM6FCC4fcmybBbIopNboOQPdSr/UE3mnGMHqUOoGd1fBMK7SB0Fkc0Y2zkcgyP9pQ6DbvFVfAiuhpjRmrByJfDQiirfdJRyZIDIUs3s1wBNA3mj31wdy3LGVx7PSRuE0gF4YBkgt8w00TKjvs1zfeujXbiH1GFYhfW5VjhyG9a1pNIbEdWqxcNboC6XoDAro2OHQeccIHUYJXr8jzUQiGqZnUKOD0e2hL2dVaQAVunNmIa4FvyAdAH0eR3wrifd+avJKn6zlQo5lo1ug0A3e6lDsXhrkgKht3eXOgzTcfYHHll114fh9+7di2HDhiEwMBAymQwbNmyonfiIrJizWonPR7fh87dmJLFIhU8cp0sdBhDaGeg2S+ooiGxSPV8XvPNwc6nDoDsYHvsgit3r1v6Jmz0MdJxW++c1IatIbgHA21mNz59oyztR1aTRy5DgZSVLAsmVJYmts+9dd83Ly0OLFi3wySef1EJgRLajvp8Ll24zMx/E1sWN4CHSBWDvVrLsTxUqcBKRadzfMgjTe/GxPnOVVmyH2eIZCK/crRsAAHuTSURBVIWq9k4a0rFkOrKFL8lmVZlgZLAb3n6Id6Kq6y99S6lDMI1Bi4GwzpXbddAgvPnmm3joITN6Ho3IStzfMgjjOodLHQbdYszNh6F38Kr9EytUwCOrAXcu5UcktRf6N0T/Jn5Sh0EV2JDki12Bk2rnZB51gJE/AEp17ZyvBllVcgsAD7QKwqTuEgzjW5GvkuqZX0XNe9VtFtDOzNYLI7Jhrw5pzPVvzUh0vj2+ca/lqWcyecmIbUTv2j0vEZVLJpNh6ciWaBzAAlPm6skrnZDhX8MFUR08gMfXAk4S3PCsAVaX3ALASwMboW/ju09FpfJdzXdAvrcFj4C3GAX04VIQRObETiHH50+0QYsQd6lDoX/Nu9YYKYG1mGgOeR9o+mDtnY+I7spRpcSKsW3h7Wz5I3bWSAgZRqWOr7mZNgoVMOJ7iy4gdTurTG7lchk+GdUanSOs4w6EFE45tJc6hKqJ6A3c95HUURBRORxVSqwe1w71fJ2lDoX+NSHlMQh1LYza9H4daDu+5s9DRPcsyN0BX45pA2e1UupQqBzncx3xqetzNdP4fZ9Y3VKZVpncAoC9nQIrxrZFmzAuEVQVv2Y3ljqEe+ffHHj0W0BhJ3UkRFQBDycVvpnQntXtzcTpHCes955csyfpNAPo/kLNnoOIqqVVqAdWjW/H6vZm6r3rEbgQMsK0jfZ8GWhh4jbNgNUmt0DJKMGq8e24WHUV/JrsB72jBT0f59Oo5HkBNUeEiMxdoLsDvpnYAZ5OtVgFkio0K7olsvw61kzjLR8H+r9ZM20TkUm1C/fEynHt4GDHBNccPXJtCIo8GpqmsdZjgJ4vmaYtM2PVyS0AuNrb4duJHTgN7h4JIUOcZ+UqDUvOPxIYtwVwqXrFv9zcXJw4cQInTpwAAFy7dg0nTpxAbGysiYIkolvV83XG1+Pbw82BMy2kJoQMU7LHQtg5mrbhhkOA+z62+GUliGxJx7pe+Gosl9Y0RzlaJZ7VzoBQVnPmU+engWHW+wifTfzmejqp8MOTHdDI30XqUCzKLm0LqUO4u6C2wNhN1a7wduTIEbRq1QqtWrUCAMycOROtWrXCnDksTEVUUyKD3bBmckcWMjEDURlu2OH3pOkaDO8GDF/JtWyJLFDnet744om2UCltIk2wKNtSvLDVf0rVG+i3oGQ2jRXfdJQJIYTUQdSW7EINnvr6CA5eS5c6FIsQbF+EfbInIRM6qUMpX1gXYNQaQM2bFkSWLDolF6NXHMTNrEKpQ7FpCpkep4KXwCnlRPUainwUuP8Tq1gvkciW/XUpBVO/O4r8YjO9DrRhh+t+CZ+buyt/gExRMpOm1eM1F5SZsKlbMq72dvhmYnsMauYvdSgW4UahGrk+raQOo3wRvYHRvzKxJbICdX2c8eu0zmjgx8dHpKQTcjxX8CSEoqrPQsuAXq8CD3/JxJbICvRo4IOfJnWEtzPrI5ibEYlPQOdUycfxlPbAiO9sIrEFbCy5BQC1UoFPR7XGEx3DpA7FIhxXt5M6hLJajwUeWwPYOUgdCRGZSICbA36Z0hntwz2lDsWmbU/1RFTguHs/UOlQMg25x2yTx0RE0mke7I51U7ugrreT1KHQLaLz7bHE8TkI3GV6sdoNGL0OaDS4dgIzAzaX3AIl6+C+8UAzvDigoTVPOTeJNZlmtCSQXAkMXlKyjq2SdxGJrI2bgx2+fbI9Hm0bLHUoNm1idDcUejaq/AHOfsC4zUCzh2ouKCKSTKiXI9ZP64LOEdWrb0KmtSwuDKdCRle8g7MfMH6z1a1jezc29cxteXacS8LzP59ATqFW6lDM1lWvmVDkJUobhKMX8MjXQJ1u0sZBRLXix0OxmPv7WRRr9VKHYpMe9kvCkuwX7l5zwa8Z8NhPgHtI7QRGRJLR6vSY8/tZ/HCQK0mYCyeFHkcC3oZD6hnjH/g3Bx79BvCsI01gErLJkdtb9W3ih99ndEVDPz67WZEYD4mXBPJrBjy1m4ktkQ15rH0o1k7phCB3Pn4ghV+T/HAqZNSdd2owEJjwBxNbIhuhVMix8MFIvDu8OZxUrIRuDvJ0ckzOnwZhd8u08bYTgSd32GRiCzC5BQDU8XbChuldOBWuAts1zaU7eYtRwMQ/AQ8+I01ka5oHu2PT013Rrb631KHYpDHX+kHjVt7FkQzo8iww8kdAzSJgRLbmkbYh2PRMNzQLcpU6FAKwN90dv/pMB9SuwPBVwND3bbqon81PS77dumM3MPe3s8gp4jTlUr5qDQ4qnoRMr6m9kzp6A8M+BBoPrb1zEpFZ0usFPtl9BR/vugyNjh9ZtWlc4A3MTf8fZPj3fXcPBR5YBoR3lTYwIpJcsVaPxdsu4Kt/roHZhLRahLjjp8fC4eAZJHUokmNyW46bmQV4df1p7L6YInUoZuNk2EdwSzpQOydrOBgY9hHg7FM75yMii3A+IRuz157C6fgsqUOxKX/WX48Gcb+UVKofsJCjtURk5K9LKZj180mk5hZJHYrNUcplmN6rHp7uXQ9KBSfkAkxu72j98RtYsPEcMvJrccTSTK2otx99b3xSsydRuQCD3gZa3aHyGxHZNJ1e4PO9V/HhjssoYrGpWtHSV451w1SQ1+8jdShEZKZSc4uwcMt5rDsWL3UoNqNpoCsWPhiJFiHuUodiVpjc3kVqbhHm/n4Wm08lSB2KpHp7pWNl3oyaO0GTB4D+b7IwCRFVypXkXPzv11M4ej1D6lCsllwGjO0cjhf6N4STWil1OERkAQ5dS8frG87gYlKO1KFYLTcHO7zQvwEe7xAGuZxrmt6OyW0l7TyfhIVbzuNqSp7UoUjmiu//oMyOM22j/pHAwHdsbg0uIqo+vV7gx8OxWLrjMlJyOB3OlNqGeWDOsCZoHuwudShEZGG0Oj1W74/B0h2XkcsaNiYjkwGPtAnG/wY2gpez7RaMuhsmt/dApxf4yYYvpP6ovwEN4342TWOO3kCf14FWYwA5nxEgoqrLL9biy73X8MXeq8grvsu6rHRH9X2dMXtgI/Rr4id1KERk4ZKyC/HW5vPYeOomC05VU9NAV7zxQDO0DvWQOhSzx+S2Cmz1Qur50Gg8m/xa9RqxcwLaTQS6vwDYu5kmMCIilDxG8tHOy/jxUCyrKt+jADd7PN+3AR5uEwwFp7kRkQmdu5mNj3Zexh/nEpnk3qNG/i54und9DGrmzynIlcTkthpSc4vw2e6rWHM41iaSXA87LY6pJ0GmLbz3g+3dgQ6TgQ5TAEdPk8dGRFQqJjUP72+/hM2nE6DT8yPuTjydVJjUvS7GdQ6HvZ1C6nCIyIpdSCxJcreeYZJ7N00DXfF07/oY0NQPMhmT2nvB5NYEsgs1+PFgLFbvj0FCVhUSPwtyLHwZPBP3Vf4AZ3+g03Sg7QQuH0FEtSouPR9f/X0NPx+JQ74N3IC8F438XTC+SzjubxnEpJaIatWlpBx8tPMytpxOAO8/GmsR7Iane9dHXz4aUmVMbk1Io9Nj86kErPg7Gmfis6UOp0Z8Vu8wBt/44O47BrQA2owHWo4ClHzonYikk5WvwZojsfgm6jpuZBRIHY5kZDKgd0NfTOhaB13qeUsdDhHZuNi0fHx/6Dp+OXID6XnFUocjGXs7OQY1C8DIdiHoUNdL6nAsHpPbGnI4Jh1rj9zAltMJyLGiSnGdPLLwY8HU8n/o6AVEPlqyTq1/s9oNjIjoLvR6gZ0XkrH2aBz2XEyxmXVyfV3UGNYiEE90DEO4t5PU4RARGSnS6rD1dCJ+PhKHqOg0m5my3DjAFSPbheCBVkFwc7CTOhyrweS2hhVqdPjjbCI2nryJvZdSUayz/IupS/6vQZUZXfKNXAnU6wu0fBxoOAhQ8I+TiMxfTqEGf55Nwu8nb+KfK6nQWtncOE8nFQY188fQ5oHoUMeThUiIyCLEpedj3bF4bD2TgAuJ1rdWrpeTCgOa+WNkuxAutVZDmNzWoqwCDbafS8Kei8n450oqMvI1UodUJesb70ErxxSg4WCgfj/AgWXJichyZeQVY8uZBGw5nYAjMRkWO6Lr4WiHvo39MKxFIDpHeEGp4DJrRGS54jMLsPN8ErafS8LB6HSLHSCq4+2EPo180b+pP9qGefBmYw1jcisRvV7g7M1s7L2cgr8vp+Lo9Qyz/aNVKeRoEuiKbvW90a2+D1qHuvOiiYisUqFGh2OxGThwNQ1R0Wk4EZdptssKOauVaBXqji71vNG1njeaBrqyqiYRWaXcIi32XUrBrgvJOBabgejUPLOdvuztrELLEHd0q++Dng19EObFx0FqE5NbM1FQrMPJG5k4dzMb5xKycfZmNq4k59T6RZVCLkM9H2c0D3ZD8xB3NA9yQ+MAV6iUTGaJyPYUFOtwOCYdR65n4FJiDi4l5+B6Wn6tLzHkqFKgnq8z6vk6o1mgG9qFe6JJoCvXpCUim5RVoMGpG5k4EZuJkzcycSIuE6m5tV+UykmlQLMgN7QIcUeLYHc0D3ZDiKdjrcdB/2Fya8aKtXpcTs7BhYQc3MwsQEJ2IRKzCpGQVYjErIIqT2u2t5Mj2MMRwR4OCPZwQIiHo+H7+n7OcFQpTfxKiIisR5FWh6vJebicnINLSTmISc1HUnYhknOKkJxTiELNvc/CUSnl8HJSwcNRBS9nFfxd7VHfzxn1fV1Qz9cZwR4OHJUlIrqDhKwCxKblIy6jADcy8hGXXoC4jHzEZxQgIaugyssOeTurDdfMQR4OJdfM7g4I8XREXW8nTjM2M0xuLVihRof0vGLkF+tQUKxDgUYHrU4PjV5Ap9dDrVTAUaWAk1oJR5UCzmolHFVKjsISEdWggmIdMguKkZmvQX6x1jB1rvTDtvR7lVIOT0cVPJ1VcFbzpiIRUU3R6wVyi7XIKdQit1CL/GItirR6FGn10OpKrpkdVHI42CnhoFLAwU4BB1XJdbQdH8WzKExuiYiIiIiIyOLxVgQRERERERFZPCa3REREREREZPGY3BIREREREZHFY3JLREREREREFo/JLREREREREVk8JrdERERERERk8ZjcEhERERERkcVjcktEREREREQWj8ktERERERERWTwmt0RERERERGTxmNwSERERERGRxWNyS0RERERERBaPyS0RERERERFZPCa3REREREREZPGY3BIREREREZHFY3JLREREREREFo/JLREREREREVk8JrdERERERERk8ZjcEhERERERkcVjcktEREREREQWj8ktERERERERWTwmt0RERERERGTxmNwSERERERGRxWNyS0RERERERBaPyS0RERERERFZPCa3REREREREZPGY3BIREREREZHFY3JLREREREREFo/JLREREREREVk8JrdERERERERk8ZjcEhERERERkcVjcktEREREREQWj8ktERERERERWTwmt0RERERERGTxmNwSERERERGRxbvn5Hb16tWQyWSGL3t7e/j7+6NXr15YtGgRkpOTjfafN28eZDKZ0bbi4mJMmTIFAQEBUCgUaNmyJQAgPT0dI0eOhK+vL2QyGR544AEAgEwmw7x586r0Aitj3LhxCA8PN9q2cOFCbNiwodptnzp1CuPHj0edOnVgb28PZ2dntG7dGosXL0Z6enq1269JPXv2RM+ePat07GeffYbVq1eX2R4TEwOZTFbuz0zl1t/PO33t2bPHZOebMWOGSdoiorKfM7d+vfDCC1KHV678/HzMmzevwn5lzZo1aNq0KRwcHCCTyXDixIl7ar+mPweJiGqaKXIIa1Fe7kGmoazqgatWrUKjRo2g0WiQnJyMv//+G++88w6WLFmCNWvWoG/fvgCAJ598EgMHDjQ6dtmyZfj888/x8ccfo02bNnB2dgYAvPHGG1i/fj1WrlyJiIgIeHp6AgCioqIQHBxc1VCrZOHChRg+fLghwa6KL7/8EtOmTUPDhg3x4osvokmTJtBoNDhy5AiWL1+OqKgorF+/3nRBm5HPPvsM3t7eGDdunNH2gIAAREVFISIiosbOHRUVZfT9G2+8gd27d2PXrl1G25s0aVJjMRBR9ZV+ztwqMDBQomjuLD8/H/PnzweAMjcFU1JS8MQTT2DgwIH47LPPoFar0aBBAwmiJCKSXnVyCGvx+uuv49lnn5U6DKtU5eS2WbNmaNu2reH7hx9+GM8//zy6du2Khx56CJcvX4afnx+Cg4PLJKZnzpyBg4NDmdGuM2fOICIiAo8//rjR9o4dO1Y1TMlERUVh6tSp6NevHzZs2AC1Wm34Wb9+/TBr1ixs27ZNwgiloVara/zf8/b2fXx8IJfLLfL3iMiW3f45Ywr5+flwdHQ0aZt3c+nSJWg0GowePRo9evSo1XMTEZmb6uQQ1qImB3lsnUmfuQ0NDcV7772HnJwcfP755wDKTimQyWRYsWIFCgoKDNMSSqcp7NixA+fPny8zbbS86Vjx8fGYNGkSQkJCoFKpEBgYiOHDhyMpKQnAf1MfYmJijI7bs2fPXaekymQy5OXl4euvvzbE0rNnT8TExECpVGLRokVljtm7dy9kMhl++eUXACUjvzKZDF988YVRYltKpVLhvvvuM3yv1+uxePFiNGrUCGq1Gr6+vhgzZgxu3LhhdFzPnj3RrFkzREVFoXPnznBwcEB4eDhWrVoFANi8eTNat24NR0dHREZGlkmgS/89jh8/joceegiurq5wc3PD6NGjkZKSUuF7Uqq4uBhvvvmmIU4fHx+MHz/e6Njw8HCcPXsWf/31l+H9K516Ud605NKYzp49i8ceewxubm7w8/PDhAkTkJWVZXT+zMxMTJw4EZ6ennB2dsaQIUMQHR19z1P2Pv30U3Tv3h2+vr5wcnJCZGQkFi9eDI1GY7Tf8ePHMXToUPj6+kKtViMwMBBDhgwp8+9yKyEEXnnlFdjZ2eHLL78EUPLv++abb6Jhw4ZwcHCAu7s7mjdvjg8//LDSMRPRf37//Xd06tQJjo6OcHFxQb9+/crM2ijtW44dO4bhw4fDw8PDcEFRVFSEWbNmwd/fH46OjujevTuOHj2K8PDwMjNOEhMTMXnyZAQHB0OlUqFOnTqYP38+tFotgJJ+zcfHBwAwf/58Q783btw4jBs3Dl27dgUAjBgxwvB5AlT86EdlpquVfsbt3r0bU6dOhbe3N7y8vPDQQw/h5s2bZfZfs2YNOnXqBCcnJzg7O2PAgAE4fvy40T7R0dEYOXIkAgMDoVar4efnhz59+hhNod61axd69uwJLy8vODg4IDQ0FA8//DDy8/PvGC8R0Z1UJocASvqy/v37IyAgAA4ODmjcuDFeeukl5OXllWnzyy+/RIMGDaBWq9GkSRP88MMPZfrX0uvSJUuW4P3330edOnXg7OyMTp064cCBA2XarMxnT0pKiiFHKb1W7tKlC3bs2GHYp7x+/pdffkGHDh3g5uYGR0dH1K1bFxMmTLjXt9LmVXnktiKDBw+GQqHA3r17y/15VFRUmWmiderUQVRUFKZNm4asrCx8//33ACqeNhofH4927dpBo9HglVdeQfPmzZGWloY//vgDGRkZ8PPzq9ZriIqKQu/evdGrVy+8/vrrAABXV1eEh4fjvvvuw/LlyzF79mwoFArDMZ988gkCAwPx4IMPQqfTYdeuXWjTpg1CQkIqdc6pU6fiiy++wIwZMzB06FDExMTg9ddfx549e3Ds2DF4e3sb9k1MTMT48eMxe/ZsBAcH4+OPP8aECRMQFxeHtWvX4pVXXoGbmxsWLFiABx54ANHR0WWm8j344IN49NFHMWXKFJw9exavv/46zp07h4MHD8LOzq7cGPV6Pe6//37s27cPs2fPRufOnXH9+nXMnTsXPXv2xJEjR+Dg4ID169dj+PDhcHNzw2effQYA5Sb4t3v44YcxYsQITJw4EadPn8bLL78MAFi5cqXh/MOGDcORI0cwb948tG7dGlFRUVWasnL16lWMGjUKderUgUqlwsmTJ/HWW2/hwoULhvPl5eWhX79+qFOnDj799FP4+fkhMTERu3fvRk5OTrntFhUVYdy4cdi8eTM2btxoiG3x4sWYN28eXnvtNXTv3h0ajQYXLlxAZmbmPcdOZCt0Op0hgSylVCrxww8/4PHHH0f//v3x448/oqioCIsXL0bPnj2xc+dOQzJZ6qGHHsLIkSMxZcoUwwXQ+PHjsWbNGsyePRu9e/fGuXPn8OCDDyI7O9vo2MTERLRv3x5yuRxz5sxBREQEoqKi8OabbyImJgarVq1CQEAAtm3bhoEDB2LixIl48sknAcCQ8LZv3x7Tp0/HwoUL0atXL7i6uprsPXryyScxZMgQ/PDDD4iLi8OLL76I0aNHGz2GsXDhQrz22msYP348XnvtNRQXF+Pdd99Ft27dcOjQIcNn7eDBg6HT6bB48WKEhoYiNTUV+/fvN/RTMTExGDJkCLp164aVK1fC3d0d8fHx2LZtG4qLi2t9RJyIrMvdcggAuHz5MgYPHoznnnsOTk5OuHDhAt555x0cOnTIqN/74osvMHnyZDz88MP44IMPkJWVhfnz56OoqKjcdj/99FM0atQIS5cuBVAybXjw4MG4du0a3NzcAKDSnz1PPPEEjh07hrfeegsNGjRAZmYmjh07hrS0tApfV1RUFEaMGIERI0Zg3rx5sLe3x/Xr18s8UkeVIO7RqlWrBABx+PDhCvfx8/MTjRs3FkIIMXfuXHH7acaOHSucnJzKHNejRw/RtGnTMtsBiLlz5xq+nzBhgrCzsxPnzp27a5zXrl0z2r57924BQOzevdsonrCwMKP9nJycxNixY8u0W3r8+vXrDdvi4+OFUqkU8+fPF0IIkZiYKACIkSNHVhjfrc6fPy8AiGnTphltP3jwoAAgXnnlFcO2Hj16CADiyJEjhm1paWlCoVAIBwcHER8fb9h+4sQJAUB89NFHhm2l/x7PP/+80bm+//57AUB89913Rufq0aOH4fsff/xRABC//vqr0bGHDx8WAMRnn31m2Na0aVOjY0tdu3ZNABCrVq0qE9PixYuN9p02bZqwt7cXer1eCCHE5s2bBQCxbNkyo/0WLVpU5nfkVhX9vpXS6XRCo9GIb775RigUCpGeni6EEOLIkSMCgNiwYUOFxwpR8vs5ffp0kZaWJrp27SqCgoLEiRMnjPYZOnSoaNmy5R3bIaISpf13eV9FRUUiMDBQREZGCp1OZzgmJydH+Pr6is6dOxu2lfYtc+bMMWr/7NmzAoD43//+Z7S9tI+7te+fPHmycHZ2FtevXzfad8mSJQKAOHv2rBBCiJSUlAr7odLPjV9++cVo++19bKnyPpNub7v0Pbr9c2Px4sUCgEhISBBCCBEbGyuUSqV4+umnjfbLyckR/v7+4tFHHxVCCJGamioAiKVLl5aJp9TatWsFgDL9GxFRZZgih7iVXq8XGo1G/PXXXwKAOHnypBCi5LrO399fdOjQwWj/69evCzs7O6P+tfS6NDIyUmi1WsP2Q4cOCQDixx9/NLRZ2c8eZ2dn8dxzz93xvbi9ny/9TMnMzLzjcXR3NbIUkBCiJpo12Lp1K3r16oXGjRvX6HnK07NnT7Ro0QKffvqpYdvy5cshk8kwadKkKrW5e/duACgzFa59+/Zo3Lgxdu7cabQ9ICAAbdq0MXzv6ekJX19ftGzZ0miEtvT9uX79eplz3v5c86OPPgqlUmmIpTybNm2Cu7s7hg0bBq1Wa/hq2bIl/P39q119+NZp2gDQvHlzFBYWGqrn/fXXX4ZYb/XYY4/d87mOHz+O++67D15eXlAoFLCzs8OYMWOg0+lw6dIlAEC9evXg4eGB//3vf1i+fDnOnTtXYXvXrl1Dp06dkJ2djQMHDqBFixZGP2/fvj1OnjyJadOm4Y8//igzOkREZX3zzTc4fPiw0dfVq1dx8+ZNPPHEE5DL//sIc3Z2xsMPP4wDBw6UmSL78MMPG31fUV8yfPhwKJXGE5o2bdqEXr16ITAw0KjfGzRokFFbUimv3wT+6/f/+OMPaLVajBkzxih+e3t79OjRw9Bve3p6IiIiAu+++y7ef/99HD9+HHq93qjtli1bQqVSYdKkSfj6668RHR1d8y+QiGzK3XKI6OhojBo1Cv7+/obrt9JaBufPnwcAXLx4EYmJiWX6+NDQUHTp0qXcdocMGWI0I/P2vvTixYuV/uxp3749Vq9ejTfffBMHDhwo88hbedq1aweg5HPp559/Rnx8/F2PofKZPLnNy8tDWlpajVa0TElJkfQB82eeeQY7d+7ExYsXodFo8OWXX2L48OHw9/cHAHh7e8PR0RHXrl2rVHul0xQCAgLK/CwwMLDMNIbSKtK3UqlUZbarVCoAQGFhYZn9S2MtpVQq4eXldccpE0lJScjMzIRKpYKdnZ3RV2JiIlJTUys8tjK8vLyMvi+dylxQUACg5H1SKpVlXue9TkOPjY1Ft27dEB8fjw8//BD79u3D4cOHDTcsSs/n5uaGv/76Cy1btsQrr7yCpk2bIjAwEHPnzi3TUR06dAiXLl3CiBEjyv3dfPnll7FkyRIcOHAAgwYNgpeXF/r06YMjR47cU+xEtqRx48Zo27at0dfd+ku9Xo+MjAyj7bfvW9rG7X1HaT94q6SkJGzcuLFMn9e0aVMAqHa/V1136zdL61C0a9euzGtYs2aNIX6ZTIadO3diwIABWLx4MVq3bg0fHx8888wzhscwIiIisGPHDvj6+mL69OmIiIhAREQEawcQkUncLYfIzc1Ft27dcPDgQbz55pvYs2cPDh8+jHXr1gEwvl4Eyr8+rOiasTLXoEDlPnvWrFmDsWPHYsWKFejUqRM8PT0xZswYJCYmVvjau3fvjg0bNhhuRgYHB6NZs2b48ccfKzyGymfyZ243b94MnU5X5fVRK8PHx+eOBX0AwN7eHgDKzK03xYXIqFGj8L///Q+ffvopOnbsiMTEREyfPt3wc4VCgT59+mDr1q24cePGXRPx0j+ohISEMvvevHnT6HlbU0lMTERQUJDhe61Wi7S0tDJ/3LcqLVhSUZVnFxcXk8d5Ky8vL2i1WqSnpxsluHfqLMqzYcMG5OXlYd26dQgLCzNsL2/dycjISPz0008QQuDUqVNYvXo1FixYAAcHB7z00kuG/UaMGAF/f3+8+uqr0Ov1eO2114zaUSqVmDlzJmbOnInMzEzs2LEDr7zyCgYMGIC4uDg+q0ZUSbf2l7e7efMm5HI5PDw8jLbfXpCktI2kpKRy+8FbeXt7o3nz5njrrbfKjac6N3Lt7e3LFM0DTJswl35+rF271qi/K09YWBi++uorACUVnn/++WfMmzcPxcXFWL58OQCgW7du6NatG3Q6HY4cOYKPP/4Yzz33HPz8/DBy5EiTxU1EtuduOcSuXbtw8+ZN7Nmzx6jy/O31S27t4293r9eMt7dZmc8eb29vLF26FEuXLkVsbCx+//13vPTSS0hOTr7jSin3338/7r//fhQVFeHAgQNYtGgRRo0ahfDwcHTq1KlKcdsik47cxsbG4oUXXoCbmxsmT55syqaNDBo0CLt378bFixcr3Ke0AtmpU6eMtv/++++VOodarTbcrbmdvb29YVrW+++/j5YtW5aZ5vDyyy9DCIGnnnoKxcXFZdrQaDTYuHEjAKB3794AgO+++85on8OHD+P8+fPo06dPpWK+F6VFu0r9/PPP0Gq1d7wpMXToUKSlpUGn05UZTWnbti0aNmxo2PdO719VlXZka9asMdr+008/3VM7pRe6txa5EkIYKhtXdEyLFi3wwQcfwN3dHceOHSuzz2uvvYalS5dizpw5hmJY5XF3d8fw4cMxffp0pKenl6noTUQVa9iwIYKCgvDDDz8YTV/Ly8vDr7/+aqhieSfdu3cHULYvWbt2bZkCVkOHDjUsU1dev1ea3N5+l78ywsPDcenSJaObsGlpadi/f3+l27ibAQMGQKlU4urVq+XGX9FSSw0aNMBrr72GyMjIcvs7hUKBDh06GGa8lLcPEVFlVSaHKO/6DYChunKphg0bwt/fHz///HOZc1S1f63qZ09oaChmzJiBfv36VbqfVKvV6NGjB9555x0AKFPZnu6syiO3Z86cMTy7k5ycjH379mHVqlVQKBRYv369oUpkTViwYAG2bt2K7t2745VXXkFkZCQyMzOxbds2zJw5E40aNUK7du3QsGFDvPDCC9BqtfDw8MD69evx999/V+ockZGR2LNnDzZu3IiAgAC4uLgYJW/Tpk3D4sWLcfToUaxYsaLM8Z06dcKyZcswbdo0tGnTBlOnTkXTpk2h0Whw/PhxfPHFF2jWrBmGDRuGhg0bYtKkSfj4448hl8sxaNAgQ7XkkJAQPP/88yZ770qtW7cOSqUS/fr1M1RLbtGiRZnnE241cuRIfP/99xg8eDCeffZZtG/fHnZ2drhx4wZ2796N+++/Hw8++KDh/fvpp5+wZs0a1K1bF/b29oiMjKxWzAMHDkSXLl0wa9YsZGdno02bNoiKisI333wDAEbPQNxJv379oFKp8Nhjj2H27NkoLCzEsmXLykxl3LRpEz777DM88MADqFu3LoQQWLduHTIzM9GvX79y23722Wfh7OyMSZMmITc3Fx999BFkMhmGDRtmWNfNx8cH169fx9KlSxEWFob69etX630hsiVyuRyLFy/G448/jqFDh2Ly5MkoKirCu+++i8zMTLz99tt3baNp06Z47LHH8N5770GhUKB37944e/Ys3nvvPbi5uRn1JQsWLMD27dvRuXNnPPPMM2jYsCEKCwsRExODLVu2YPny5QgODoaLiwvCwsLw22+/oU+fPvD09IS3t/cdl/R54okn8Pnnn2P06NF46qmnkJaWhsWLF5u0mnJ4eDgWLFiAV199FdHR0Rg4cCA8PDyQlJSEQ4cOwcnJCfPnz8epU6cwY8YMPPLII6hfvz5UKhV27dqFU6dOGWapLF++HLt27cKQIUMQGhqKwsJCQ3X5vn37mixmIrJuVc0hOnfuDA8PD0yZMgVz586FnZ0dvv/+e5w8edJoP7lcjvnz52Py5MkYPnw4JkyYgMzMTMyfPx8BAQGVvl68vc3KfPZkZWWhV69eGDVqFBo1agQXFxccPnwY27Ztw0MPPVRh+3PmzMGNGzfQp08fBAcHIzMzEx9++KHRM8VUSfdager2KpYqlUr4+vqKHj16iIULF4rk5GSj/WuiWrIQQsTFxYkJEyYIf39/YWdnJwIDA8Wjjz4qkpKSDPtcunRJ9O/fX7i6ugofHx/x9NNPGyru3q1a8okTJ0SXLl2Eo6OjAFBuRcuePXsKT09PkZ+fX8G7VdLO2LFjRWhoqFCpVMLJyUm0atVKzJkzx+i90ul04p133hENGjQQdnZ2wtvbW4wePVrExcVV6j0KCwsTQ4YMKfe9mz59uuH70n+Po0ePimHDhglnZ2fh4uIiHnvsMaP3rvRct79ujUYjlixZIlq0aCHs7e2Fs7OzaNSokZg8ebK4fPmyYb+YmBjRv39/4eLiIgAY3t87VUtOSUkxOld5Fa/T09PF+PHjhbu7u3B0dBT9+vUTBw4cEADEhx9+WOb1C1H+79vGjRsNryEoKEi8+OKLYuvWrUa/GxcuXBCPPfaYiIiIEA4ODsLNzU20b99erF69+o7vsRAlVVeVSqUYP3680Ol04r333hOdO3cW3t7eQqVSidDQUDFx4kQRExNTbsxEtqwyFTU3bNggOnToIOzt7YWTk5Po06eP+Oeff4z2qahvEUKIwsJCMXPmTOHr6yvs7e1Fx44dRVRUlHBzcytTTT4lJUU888wzok6dOsLOzk54enqKNm3aiFdffVXk5uYa9tuxY4do1aqVUKvVRlWXK6qWLIQQX3/9tWjcuLGwt7cXTZo0EWvWrLmnasm3v0flrQhQ+n716tVLuLq6CrVaLcLCwsTw4cPFjh07hBBCJCUliXHjxolGjRoJJycn4ezsLJo3by4++OADQwXRqKgo8eCDD4qwsDChVquFl5eX6NGjh/j999/L/gMREd3GFDnE/v37RadOnYSjo6Pw8fERTz75pDh27FiZa0shhPjiiy9EvXr1hEqlEg0aNBArV64U999/v2jVqpVhn9Lr0nfffbdMvOXlH3f77CksLBRTpkwRzZs3F66ursLBwUE0bNhQzJ07V+Tl5Rn2u72f37Rpkxg0aJAICgoyvC+DBw8W+/btq+zbS/+SCVHDpY2tVHJyMsLCwvD0009j8eLFUodTafPmzcP8+fORkpJSI8/ySqF03bF//vkHnTt3ljocIrJQ+/fvR5cuXfD9999j1KhRUodDREQmlJmZiQYNGuCBBx7AF198IXU4VENMXlDK2t24cQPR0dF49913IZfL8eyzz0odkk358ccfER8fj8jISMjlchw4cADvvvsuunfvzsSWiCpt+/btiIqKQps2beDg4ICTJ0/i7bffRv369e84dYyIiMxfYmIi3nrrLfTq1QteXl64fv06PvjgA+Tk5PDa3coxub1HK1aswIIFCxAeHo7vv//eqNIm1TwXFxf89NNPePPNN5GXl4eAgACMGzcOb775ptShEZEFcXV1xZ9//omlS5ciJycH3t7eGDRoEBYtWmSotk9ERJZJrVYjJiYG06ZNQ3p6OhwdHdGxY0csX77csJQbWSdOSyYiIiIiIiKLZ9KlgIiIiIiIiIikwOSWiIiIiIiILB6TWyIiIiIiIrJ4TG6JiIiIiIjI4jG5JSIiIiIiIovH5JaIiIiIiIgsHpNbIiIiIiIisnhMbomIiIiIiMjiMbklIiIiIiIii8fkloiIiIiIiCwek1siIiIiIiKyeExuiYiIiIiIyOIxuSUiIiIiIiKLx+SWiIiIiIiILB6TWyIiIiIiIrJ4TG6JiIiIiIjI4jG5JSIiIiIiov+3d9/RUVVrG8CfMy2Tnkx6AiEJofcuvSgoKIIVC4qCBXu/12u51/bZRVQu2AU7VwRURAVUioBICx0CgZDee5l+vj9GAoEQEjIz+8zM81srC53MnPMEksl5z9773R6PxS0RERERERF5PBa3RERERERE5PFY3BIREREREZHHY3FLREREREREHo/FLRERERERnbf58+cjOTkZer0eAwYMwIYNG0RHIh/F4paIiIiIiM7L4sWL8eCDD+LJJ5/Ezp07MXLkSEycOBFZWVmio5EPkmRZlkWHICIiIiIizzNkyBD0798fCxYsaHisW7dumDp1Kl566SWBycgXceSWiIiIiIhazWw2Y/v27ZgwYUKjxydMmIBNmzYJSkW+TCM6AJ2b1WZHZmkdMoprkF9Rj+IaE4qrTSirNaOizoLKeguqjVZY7TIk6eTrTvynSpIQ6q9FRJAOhkAdIoP8YAjUISLI8d8dowKRFBEIjZr3OoiIWspktSGrtA7HSmqRVVaHomoTSmoc782V9Y735lqTFTY7IMsyZAB2WYYsAxqVhGC9BiH+WoTotQjx1yBEr0V0sB/aGQKQ+PdHbIgeKpV0zixERCKUlJTAZrMhJiam0eMxMTEoKCgQkim3oh6FVUaU15pRWmtGea0ZZXVmlNWYUV5nRlntyY9asw0alQSdRgU/jQo6tQo6jQrBei1C/bUIDXD8GeavRVyYP7rGBqNLbDBC9FohXxudG4tbhTleWot9eVU4XFiD9KJqHCmswbGSWpht9jYdt6DKCBSe/fM6tQopUYHoFBOMztFB6BQTjK6xwUiKDGzTeYmIvEFWaR12ZpdjV3Yl0gurcaykFvmV9bC3YWFPaa35nM/RqVVoF+6PrnHB6JUQht7tQtEzIRSh/rywIiLlkKTGN+FkWT7jMVcoqTFhd04F0rIrsTunArtzKlHWgvfWU9nsMkxWO6pb8ZqEMH90+bvQ7RobjK6xIUiJCoSWA0XCsbgV7HhpLTZnlOLPo6XYcqwM+ZVGITnMNjsOFlTjYEHjH+3IID8MSgrH4GQDhnaMQNfYECH5iIjcxW6XsTO7HJuOlCItuwJp2RUtKkRdwWyz42hJLY6W1GLlHscoiCQBiYYA9G0fhuGpkRjVKQqxoXoh+YjIt0VGRkKtVp8xSltUVHTGaG5b1Zqs2J3jKGJ35VRgV3YlcivqnXqOlsqtqEduRT1+O1jU8NiJgaLucSEY2TkS47rG8EakAGwo5WZ1ZivWHCjC7weLsOVoKfIEFbPnKyrYDyNSIzGmSxQu6haDQD/eHyEiz1dWa8baQ0VYe6gYGw4Xo7zOIjpSq3SKDsKozlEY2SkSQztGwE+jFh2JiHzEkCFDMGDAAMyfP7/hse7du2PKlCltbihVVmvGj3vy8cOuPGzLLGvTbBl306gkDE42YEL3GEzoEYv4MH/RkXwCi1s3MFps+P1gEVbszsdvB4tQb7GJjuQUeq0KF3aNweQ+cRjTJRp6LS+miKjl5s+fj9deew35+fno0aMH5s6di5EjR7rt/OW1ZvywOw/Ld+YiLbvCoy6amhPsp8GEHrGY0jcew1MjoeaaXSJyocWLF+Omm27Cu+++i6FDh+L999/HBx98gH379qFDhw6tPl6V0YJf9hbgh9352HSkBFYveXPuER+CCd1jMaFHDLrFcSakq7C4dRGbXca69CJ8n5aHNQeKUGOyio7kUsF+GozvHoPJfeMxqlMUL6aIqFknLobmz5+P4cOH47333sOHH36I/fv3IzEx0WXnNVlt+PVAEZbuyMW69CJYbN79KzAySIdJveJwRb8E9EsMFx2HiLzU/Pnz8eqrryI/Px89e/bEm2++iVGjRrX49UaLDWsOFOL7tDysTS+G2dq2XjNK197gjwndY3HtwPboEhssOo5XYXHrZKU1Jny9NRtf/Hnc46YcO0tCmD9uGZaEaYPbs5scETXJ3fsi5pTX4ZONmViyPQeV9Z415dhZeiaEYMbQJFzeN57TlolIETZnlOKrv7Lw64FC1Jq9Y2Zja0gSMLpzFO4YlYJhHSNFx/EKLG6d5HBhNT7YcBTL0/K8/m5TSwXq1LhmYHvcOjwJHSLYdZmIHMxmMwICAvDNN9/giiuuaHj8gQceQFpaGtatW+e0c+3IKsdHG47h530FsHnJ1La2igjU4frBiZh+QQc2oiIit5NlGb/sK8S76zKQll0hOo5i9EoIxR2jUjCpVxxnQLYBi9s22n68DO/8dgTr0ovBv8mmqSRgXNcYzB6dgoFJBtFxiEiwvLw8JCQkYOPGjRg2bFjD4y+++CIWLVqEQ4cOtfkcq/cXYv7aI9iZVdHmY3krjUrC1H4JuG9cKm9AEpHLWWx2LNuZi/fWZSCjuFZ0HMVqb/DHrOHJmDYoEf46zrJpLba6PU9Hiqrx8k+HsOZAM5vHEgDALgNrDhRizYFCXNQtBo9P7ILUaK4vIPJ1rtgXcVNGCV775RCL2haw2mUs2Z6D5TtzMbVfAh68qBPahQeIjkVEXsZul7E8LRdz1xxGVlmd6DiKl11Wj2d+2I+5vx7GTRd0wIxhSYgM8hMdy2Nw5LaV8ivr8ebqdHy7I5dT3M6TWiXh6v7t8PCEzogJ4ZQ4Il/jimnJu3Mq8Novh7DhcIkzo/oUnVqFG4Yk4v4LO8EQqBMdh4i8wM978zFndTrSC2tER/FYeq0Kd47qiLvGdOTOJC3A4raFKustmL/2CBZtyoTRwjW1zuCvVWPmiCTMHt0RwWw8ReRTnLUvYlGVES/8eAA/7M7j0hAnCfXX4tGLu+DGwYlQcd0XEZ2HvbmVeHLZHuzKqRQdxWu0N/jjqUu74+IesaKjKBqL2xb4aU8+nv5uH0pqTKKjeKXIIB2evqw7pvRNEB2FiNykrfsi2u0yPt9yHK/9cgjVRu/eak2UXgmheH5qT/RtHyY6ChF5CLPVjnd+O4wFazO8Zn9apRnVOQrPTO6OlKgg0VEUicVtM4qqjfj38n34eV+B6Cg+YUyXKLwwtSfXfBH5iPPdF5EjAu4jScC0ge3xr4ndEBrAGTZEdHZ7cyvx6De7cLCgWnQUr6fTqPDAhZ1w56gUaNQq0XEUhcXtWSzZnoPnV+z32f0QRQnUqfHEpd1w45Bzj9wQkW8xW+14Y9UhfPjHMfY8cLPYED1ev6YPRnTiPoxE1JjZasfbvx7Gu+s4WutuPeJD8MpVvdEzIVR0FMVgcXua/Mp6PP7tHqxLLxYdxaeN7BSJV6/ujbhQf9FRiEgBDhVU44Gvd3JEQCBJAm4dlox/XNKFTU2ICACwJ8cxWnuokO/NomhUEu4cnYIHL+oMLUdxWdye6o/DJbj/650oqzWLjkIAwgO0eOu6fhjVOUp0FCIS6LPNmXjhxwMwWdnMTwk6xwRh7rR+6B4fIjoKEQlittrx1q/peG/dUY7WKsTgJAMWTO+PCB/fNojFLRx7K/739yOYszod/PlUFpUEPHRRZ9w7LrXN+18SkWepMlrwzyW78dNe9j1QGp1aheem9MB1gxNFRyEiN8suq8Ptn27jTBoFSgjzx3s3DfDpaco+X9xW1lvw8OI0/HqwSHQUasZF3aLxxrV9EerPhiZEviCzpBazFm1FRnGt6CjUjOkXJOI/k3twKhyRj0jLrsBti7aipIazHJXKX6vGq1f3xuQ+8aKjCOHTxe2+vErc9fkOZJXViY5CLdAhIgDvTh+AbnGcCkfkzTYeKcE9X+5ARR0b+nmCwckGzL+xPyJ9fCockbf7eW8+HlycBqOFS0Q8wV1jOuKxCV18br9yny1u1+wvxH1f7US9xSY6CrWCXqvCf2/ojwu7xYiOQkQu8Nmfx/Hs9/u4hsvDxIfq8f7NA316KhyRN/tww1G8uPIAl+95mHFdo/HWdX0RrPedmY8+Wdx+uSULT3+3l1tJeCiNSsKrV/fGlf3biY5CRE4iyzKe/WE/Fm7KFB2FzlOQnwYf3DwQQztGiI5CRE5is8t49od9+HTzcdFR6Dx1jArEBzcPREpUkOgobuFzxe3cNemYu+aw6BjURpIEPHVpd8wakSw6ChG1kc0u47Elu7B0R67oKNRGfhoV5t3QH+O7c3YNkaerM1tx35c72ZfGCwTrNXhv+gAMS/X+vcp9qrh9fsV+fPTHMdExyInuHZuKRy/uIjoGEZ0ns9WOB77eyY7IXkSjkvDKVb1x1QDOriHyVEVVRsxctBV7c6tERyEn8deq8emswRiUZBAdxaV8ori122U8sWwPvt6aLToKucCNQxLx/JSePrdgnsjTGS02zP58O9YeKhYdhZxMkoB/X9Ydtw7n7BoiT5NbUY9r392M3Ip60VHIyYL9NPjy9gvQq5339kfwid79//l+HwtbL/bF32uoichzGC023PrJVha2XkqWgWd/2I8vtnCdHpEnqagz4+aPtrCw9VLVJitu/ngLDnnxHsVeX9zOWXUIn/3JX67e7ostWZiz6pDoGETUAlabHfd+uQObj5aKjkIu9vTyvfgujWupiTyB0WLDzIXcX9zblddZMP2jLThW4p3/zl5d3H6y8Rje/u2I6BjkJm//dgQLN3JNNZGSybKMx5fuwZoDbFDiC+wy8Mj/duHXA4WioxBRM2x2Gfd+uRM7sipERyE3KK424cYP/kROeZ3oKE7ntcXt0h05eG7FftExyM2eXbGfowRECvbSTwexZHuO6BjkRla7jLu/2IHNGRypJ1Kqp5bvxRrehPIpeZVGTP9wC4qqjKKjOJVXFre/HijEP5bshve3yqLTyTLw6De78PshjgoRKc376zPw/vqjomOQACarHXd8tg0ZxTWioxDRaeauScdXf2WJjkECZJbWYfpHW1BeaxYdxWm8rrg9XFiN+77aCaudla2vsthk3P35DhzIZ/t6IqX47WAhXvrpoOgYJFC10YrbF21DZb1FdBQi+ttXf2Vh7prDomOQQOmFNbhl4VaYrXbRUZzCq4rbaqMFd362HXVmm+goJFi9xYY7P9uOijrvuRNF5KmOldTiga/TOJuGcLSkFvd/tRN23oAmEm7N/kI8tZy7TRCwK7sCL3vJDWivKW5lWcYj/9uFo17a+YtaL6usDvfxIopIqFqTFXd8ug3VRqvoKKQQ69KL8dJPB0THIPJp+/Iqce9XO2DjNRL97eONx7Bmv+evu/aa4nbBugys8oJ/EHKuDYdLMHdNuugYRD7pxE3Hw0VcZ0mNfbDhGJv/EQlSb7bh/q92wmjxjmmo5DyPLdmF/ErP3uNYkmXPnyi28UgJbv74L959oiapJGDRzMEY2SlKdBQin/LB+qP4v5UcoaOmBftpsPKBkWhvCBAdhcinPP7tbny9Ndvl57FWl6Bi7ULUH90O2WqGxhCPiIkPwC829Yznlv48DzW7fkb4uNsRMmhKs8e1G2tQvv4z1Kdvgs1YA01oDAzjZsG/4yAAQM2+31GxbhFkixFBvScgfOzMk5kqC1G4+GnEzZgLlR/fe5oyOMmAr+64AGqVJDrKeRE2cjt//nwkJydDr9djwIAB2LBhw3kdp7jahPu/2snCls7KLgMPfp3mda3OiZTsYEEVXlt1SHQMUrBqkxUP/y+Nv7+J3OinPfluKWxtxhoUfP4PQKVB9DXPIP62+QgfOwsqv8AznluXvhmm/ENQBxnOeVzZZkHh4qdhqyxE5NR/IeH29xAx8T6ogyMc562rRNnP7yB87ExEX/scavb+irqMrQ2vL/1lPsJH38LCthl/ZZbhLQ+e9SikuF28eDEefPBBPPnkk9i5cydGjhyJiRMnIiur9W3In1q+B6Ve1L6aXKO01symCURuYrba8dDiXV7TeZFcZ2tmOf77+xHRMYh8Ql5FPR5fusct56r6cwk0IZGIvPRB+MV3gSY0Bv5JfaENj2v0PGt1CcpWv4vIyx4FVJpzHrdm92rYjdWIuvIp6Nt1hyY0Gvp2PaCLTnEcr6IAkl8AAruNgl9cZ+gTe8NS4qgvavevhaTWIKDLMOd/wV5m3u9HsCmjRHSM8yKkuJ0zZw5mzZqF2267Dd26dcPcuXPRvn17LFiwoFXHWbE7D7/s4zpbaplV+wuxYnee6BhEXu/NNenciota7O1fD2NnVrnoGERe7/Gle9y2FVf9kS3QxXZC8fKXkP3Ojcj75H5Up/3c6DmybEfJijkIGXIldFEdWnTcuiNb4BffFWWrFyD7nenI++huVG7+H2S7Y6cUjSEBssUEc2EGbPXVMOenQxeVBFt9NSo2fAHD+NlO/1q90YlZj6U1JtFRWs3txa3ZbMb27dsxYcKERo9PmDABmzZtavFxymrNeOb7fc6OR17ume/3edVG1URKsy2zDO+tyxAdgzyI1e5oPGaychs/Ilf537ZsrE8vdtv5LBUFqN65EprweMRc+xyC+01E+a/vo2bvrw3PqfpzCSSVGsEDLm/xca0Vhag9tBGy3Y7oa55B6NBpqPprGSo3/w8AoNYHIfLSh1CyYg4KPn0YgT3HwT9lAMp//wjBAy6DtbIQeZ/cj7yP7kbtwT+c/nV7k6JqEx75Zhc8rT3Tucf/naykpAQ2mw0xMTGNHo+JiUFBQUGLj/PM9/tQUsMihVqnpMaMZ3/Yh7nX9RMdhcjrmK12/OPb3XDFEspzNSax1ZajfO1CGDN3wm6shV/7HjBcdCe0hoRmj1u19TtUp62EraoYKv8QBHQZjvDRMyBpdADYmMRdjpbU4r+/HcHDE7qIjkLkdQqrjHhhxX73nlSW4RebivDRMwAAupiOsJRkoXrnSgT1vBCmgiOo2v494ma8BUlqReMi2Q51QBgiLrkXkkoNv9hU2GrKUPXXUoQNvx4AENB5GAI6n5x6bMzaDUvxcRjGz0be+3cgcvJjUAeGI//Th6Fv3xPqwDBnfuVeZe2hYizZnoNrBrYXHaXF3F7cnnD6N7Isyy3+5l69vxDf7+L0Ujo/y9PyMKVvAsZ2jRYdhcirfPTHMRwtdv5e4ycak+gTeyP6mmegDgyDpTy/oTGJLMsoWvoCJJUGUVc+BZUuAFVbl6Nw8VOIn7UAKp2+yePW7Psd5esWInLSA/BL6AZLWS5KV84FABguvL2hMUnEpAehCYtF0ZJn4ZfYCwF/d+RkYxLnenfdUVzeNwGp0UGioxB5lSeX7UGVm/caVweFQxuZ2OgxbUR71B3aCAAwZe+DvbYSuQtuPfkE2Y7y3z9C1bbv0O6uj89yXAMklRqSSt3ouLbacsg2CyS1ttHzZasFZasWIOKyR2Atz4dst0Gf2MvxOkMCTPmHEJA6xBlfstd69ZdDuKRnLIL12nM/WQHcPi05MjISarX6jFHaoqKiM0Zzm1JntuJpNgaiNnpi2R7Umd37Rk/kzQoqjZj322GXHPtcjUms5Xkw5x2CYcLd8IvrDG1EOxgm3AXZbETtgXVnPa457yD07bohsPsYxzGT+yOg2yiYCxxfBxuTuJfZZudyIyIn+3lvAdYcKHL7ef0SusNSltPoMUtZLjQhjoGFwJ5jETfzHcTd+nbDhzrIgJDBVyLm2ueaOW43WMrzIcsnGxZaynMdRa/6zOKrYtPX0KcMcMzyke2A/eTyB9luBexsfHguxdUmvP2ra36/u4Lbi1udTocBAwZg9erVjR5fvXo1hg0790XCu+uOooBbulAb5Vca8dGGY6JjEHmN/1t5ALVm16yZPFdjEtnmaJByYioxAMedfbUGppyzT8XzS+gOU0EGTHmOLYssFQWoz9jWsFciG5O43x9HSrByT77oGERewW6XMWe1mC3ZQgZNgSnvECo3/w+W8jzU7l+Lml0/I6j/pQAAtX8IdFFJjT6g0kAdGA5tRLuG45SseAPl6xY2/H9wv0mwG6tRvuZ9WMpyUZexFZWbv0Fwv0vPyGAuPo66g+sRNmI6AEBjaAdIKlTvWoW6jK2wlOZAF9fJpX8P3mLhpkxkFNeIjtEiQqYlP/zww7jpppswcOBADB06FO+//z6ysrIwe3bzFwoFlUZ8sP6om1KSt3tv/VHceEEHGAJ1534yEZ3V5oxS/ODCpSKWigJYdq5EyKCpiBl6LUz56Sj/9X1IGi2Cel4IraEd1CHRqFi3CIZL7oVK64eqrcthqy2HrabsrMcN7D4atvoqFHzxTwAyYLchqN8khF5wDYDGjUlkq7mhMUnJyrkNjUmKvn0esFsROvwGBHYd4bK/A1/yfz8ewEXdYqDTCNnQgchrfL8rD+mFYgoSv7jOiLriSVSsW4SKjV9BExqD8HG3I6jH2FYdx1pVDEgn3ws0IVGIufY5lP36Iao/vhea4AiEDLwcIUOuavQ6WZZR9ss8hI+7vWFpikrrh4hJD6Js9QLINgsM42dDExzZ9i/WB1hsMp5fsR8Lbx0sOso5SbKgFljz58/Hq6++ivz8fPTs2RNvvvkmRo0a1exrHv1mF5Zsz2n2OUStccuwJDxzeQ/RMYg82mXvbMDeXNdt/XP8tanwi01F7E2vNzxWtuY9mPLTEXfTGwAAU8ERlP70FixFxwBJBX1SX+DvPg4x1zzb5HGNWbtR/P2rCBt5E/ziu8BanoeyNR8gqM+EhsYkTb2m/PdPEHPDS2c0Jkm44302JnGSZy/vgRnDkkTHIPJYVpsd499cj2Mlzu+DQL7ry9uHYFhHZd8QEHZb9O6770ZmZiZMJhO2b99+zsL2SFE1lu3MdVM68hVfbslCdlmd6BhEHmvVvgKXFrbA2RuT2KpObmvhF5uK+FvfQfsHF6PdvZ8h5trnYK+vhiY09qzHrdjwOYJ6jENwn4uhi0pCQOdhCBt9M6r+XNJoPdcJJxqTGC6+p1FjEm1Eu4bGJOQc834/gnoXTXMn8gXf7shhYUtO9+rPyv895zFzfl7/JR02V+wvQT7NbLPjtV+U/4NKpESyLGPuGtc3mThXY5JTqfwCoQ4IhaUsF+aCIwjodPYumLLF1DC6e4IkqQDIQBOTmtiYxH2Kq01YtDlTdAwij2S22vH2r0dExyAvlJZdgVX7Wr51qwgeUdzuza3Ezwr/iyTP9cPuPOzLqxQdg8jj/LKvEPvzXTtqC5y7MQkA1B78w7GXYUUB6g7/icLFTyOg0wXwT+7f8JzTG5P4pw5G9c6VqN2/ztFM6thOVGz4HP6pQxptMwGwMYkI767LQLXRIjoGkcf5emsWcivqRccgL/X6qkOwK3jAUdg+t63x4QY2kSLXkWXg/fVH8dZ1/URHIfIYjlHbdLecqyWNSWw1ZSj/7UPYaiugDgpHUI9xCB1+XaPjnN6YJHTYdQAkVGz4HLaaUqj8Q+GfOhjho25q9Do2JhGjos6ChRszcd+FvGlA1FJGiw3zfuOoLblOemENftidhyl9E0RHaZKwhlItVVhlxIhXfoPFpuiY5OG0agl//HMcYkL0oqMQeYRV+wpwx2fbRccgLxcd7Ic//jmOnZOJWuiD9UfxfysPiI5BXm5QUji+ma3Mfd4V/9ti0aZMFrbkchabjE+5vouoxT76g/tEk+sVVZvw4x7XbTNF5E3qzFa8uy5DdAzyAVszy3GkqFp0jCYpurg1Wmz48q8s0THIR3y5JQtGC7tzEp3L/rwqbDl29v1jiZzp4z8yRUcg8ggrduejtNYsOgb5iC+3ZIuO0CRFF7ff7shBRR2bSZB7lNdZsHQHt5siOhfOciB32pNbia2ZvJlCdC5Ld+Sc+0lETrJ0Z44iB4UUW9zKsoyPOe2N3OyTjfyeI2pOtdGC73dxmii518KNmaIjEClabkU9Z9SQW1XUWfDT3nzRMc6g2OJ2R1Y5Moq5+TS51+GiGmw5Wio6BpFiLduZizqz8u7Ukndbvb8QlZzJRXRWy3fmNrU9N5FLfaXAqcmKLW6/T+PIAImxPI1Tk4nOZvlO/nyQ+5ltdqxU4AgBkVJwSjKJ8FdmmeIaSymyuLXZZfy4p+C8XivbbShf/xly3p2FrDeuRO67s1Cx8SvIsr3J55f+PA/HX7kMVVu/a/a45uLjKF72InIWzDzr82v2/Y6c+bcg+63rUP77x40+Z60sRO77d8Buqjuvr4vcZ+WeApitTX+/EPmynPI67MyuEB2DfNQy3lghatLunArOdiRhlNZYSpHF7eaMUpTUmM7rtVV/LkFN2k8wjJ+N+NsWIGzMraj6aymqt/9wxnPr0jfDlH8I6iDDOY8rW03QhMUifPQMqAPDz/i8ra4SZT+/g/CxMxF97XOo2fsr6jK2Nny+9Jf5CB99C1R+Aef1dZH7VNZbsPZQkegYRIrz4+58TnsjYbZmliG3ol50DCLFYTNMEklpjaUUWdx+v+v8f0hNeQfhnzoEAR0HQRMag8CuI+Cf1A/mgiONnmetLkHZ6ncRedmjgEpzzuP6xXVG+NiZCOw+GlBrz/i8taIAkl8AAruNgl9cZ+gTe8NS4tjGqHb/WkhqDQK6KHOzYzrTyj2c/kZ0uh92c7kIiSPLXLJEdDqrzY4f2OSPBKqos2DNgULRMRoorrg1W+34ee/5TUkGAL923WE8vguWMkeBbC46CmPOfvinDGx4jizbUbJiDkKGXAldVIc2ZwYAjSEBssUEc2EGbPXVMOenQxeVBFt9NSo2fAHD+NlOOQ+5x68Hijg1megUmSW12JtbJToG+TjeeCRqbF16Mfe2JeE2pJeIjtDg3EOWbvbHkWJUGa3n/fqQIVfDbqpF3gezAZUKsNsRNuomx4jr36r+XAJJpUbwgMudERkAoNYHIfLSh1CyYg5kqxmBPcfBP2UASlbORfCAy2CtLETRt88DditCh9+AwK4jnHZucr5qkxV/HCnGuK4xoqMQKcIv+87/piORs+zNq0RpjQkRQX6ioxApwlKuRScF2HSUxe1ZbTjctr+cugPrUbtvLSInPwptVAeYC4+i/NcPoA6KQFCvC2EqOIKq7d8jbsZbkCTJSakdAjoPQ0Dnk1OPjVm7YSk+DsP42ch7/w5ETn4M6sBw5H/6MPTte0IdGObU85NzbThcwuKW6G9tfW8mcgZZBtYfLsYV/dqJjkIknN0uY316segYRMguq0d2WR3aG8T3FlJccbs5o217jJav/QShF1zdMFKri0qCtaoIlX9+4yhus/fBXluJ3AW3nnyRbEf57x+hatt3aHfXx2c5cuvIVgvKVi1AxGWPwFqeD9lugz6xFwBAa0iAKf8QAlKHOOVc5Bpt/V4k8hZGiw1bM8tExyACAKw7xOKWCADSi6pR3YbZjkTOtCmjBNMMiaJjKKu4Las141Bh2/ZKki0mQGq8lFiSVMDfWwEF9hwLfVKfRp8v+t+/EdhjHIJ6XdSmc5+qYtPX0KcMgF9sKsyFGYD9ZBcx2W4F7FzPqXSHCqtRVmuGIVAnOgqRUNsyy2HiGnRSiA2HSyDLstNnXxF5mu3Hy0VHIGqw8Ugppg1icdvIn0dL27zNhH/qYFRuWgx1SBR0kYkwF2agautyBPUeDwBQ+4dA7R/S+EUqDdSB4dBGnLwTXLLiDaiDIxA++hYAgGyzwFLy9z5OditsNaUwFx6FpNNDGx7f6HDm4uOoO7gecbe8AwDQGNoBkgrVu1ZBHRQOS2kOdHGd2vaFksvJMrDlaCkm9ooTHYVIqD+OcEoyKUdprRl7c6vQq12o6ChEQrG4JSXZfFQZMx4VVdxuymj7BZThojtRseFzlK2aD3tdJdRBBgT1nYiw4de16jjWquJGI8C2mjLkL7y/4f+r/lqKqr+Wwq99T8Te8HLD47Iso+yXeQgfdztUOj0AQKX1Q8SkB1G2egFkmwWG8bOhCY5s41dK7rCZxS0RNrK4JYXZfryMxS35vB0sbklBiqtNSC+sRueYYKE5JFlu61ip81z4xlpkFNeKjkHUoHNMEFY9NPrcTyTyUkaLDT3+8wtsdsX8qiDCFf0S8Oa0vqJjEAlTWmPCgBfWiI5B1Mgzk7vjluHJQjMoZp/bslozC1tSnPTCGpRx/zjyYQfyq1jYkuLsyqkQHYFIKE5JJiXaqIBmrIopbvfnVYmOQNSkQwVta3JG5Mn28b2ZFOhYSS2qjBbRMYiE2Z7F4paUZ8vRUtgF3xBXTHF7IJ8XUKRMh4tY3JLv2pdXKToC0RlkGdiTw+9N8l1cb0tKVGW0Ir/KKDSDcorbAha3pEyHC2tERyASZm8u35tJmfbksrgl32Sx2bGbN3dIobLL6oSeXzHFLQsIUqr0Nu69TOSpbHa5zXuPE7lKZgn7dJBvOlRQzb3HSbFyyuuFnl8xxe0x/pIihTpSxBsv5JsKqoww8wKKFOp4qdjRASJRsgSPjBE1hyO3AAoqjagxWUXHIGpSaa0ZpTUm0TGI3C6HF1CkYMdLeVOcfFNehdiRMaLmZJezuBX+l0B0Lkc5s4B8ULbgqUVEzSmoMsJktYmOQeR2uSxuScE4LRlASTVHxUjZ+D1KviiHNx5JwewykF3Gi3zyPRy5JSUTPetLGcVtrVl0BKJmlfJ7lHyQ6LuvROfCi3zyRfmVYrdaIWpOQZURFpu4fh2KKG65npGUrozFLfmgQsF71RGdS0W9RXQEIrfjbDJSMrss9sajQopbFg6kbLwBQ76oyshGf6RslXW8fiDfU17HmzqkbCKXjCijuK1l4UDKxmnJ5ItqjLyAImWr5Mgt+RijxYZ6CxupkbL5/MhtCUduSeE4LZl8UTVHbknhKjiCRT6mnLMVyAMYBXayV0RxW8MLKFI4XkCRL+L+46R0XHNLvqa8lt/zpHwWmyzs3IoobsV9+UQtY7WL6/pGJILNLqPOzKlvpGycnkm+ht/z5Al8vluyLLO8JWWz2vk9Sr5F5C8mopay872ZfIyfRhGX7kTNsgq8htAIOzO5VEqAERwTd544nVp0BCK3UkmS6Ahex09lR4KeDRSdKUzN7arIt7C4db5gjRVROk73diY9xP2uY3HrpT6O/w5JOd+JjuE95I4ALhGdgshtNCoWt872TNI+XJ/3kugY3kU1GcBw0SmI3MZPw5vtzuSvtmFz3JsIKt4pOop3kf4JoKeQUyvi9g9nJTvf9JypsAdEiY7hPdRa0QmI3ErF4tbpxsubREfwPiq+N5Nv8dMq4tLda3yT8jMLW1eQxN2EUcRPiMzps06XY/TDxyF3i47hPVjckg9Ss8B1mgS9CRGFLG6dju/N5GM4Ldl5nkhKR8/sL0TH8E4qcd+nivgJ4RQL13ghswsK4y8SHcM7cHSAfJCa626d5v74Q5DsXNPldHxvJh+j1/Ka2RmGh1fi9vI3RMfwXrogYadWRHEbFsBfTq4ys3gaZL8Q0TE8n1onOgGR2wXp2ZbBWS7ilGTX4Mgt+RiO3LZdsMaKjwLegWSqFh3Fe/mHCzu1In5CDIEsHFxlX3UglkbeKTqG5/MTdweKSBS+NztHor8RhsLNomN4J4EXUEQiSJIEnVoRl+8ea3nyd9CX7hcdw7uxuOUFlCs9ktEPlTEXiI7h2cISRScgcju+NzvHfXEHOSXZVcLai05A5HYcvT1/L6bsQcfsb0XH8H4+X9wG8ALK1WZXzYCs8Rcdw3OxuCUfxPdm57jQzinJLhPK4pZ8jx/X3Z6XCZFluL74LdExfIPPF7dBvIBytc3lofgt7jbRMTwXi1vyQXxvbrskfyPCi/4UHcN7sbglHxQd7Cc6gseJ9rNgnuZNSJY60VF8g79B2KmVUdxydMAtZmdcgLrI3qJjeKawDqITELldJKclt9l98Qcg2a2iY3iv0HaiExC5XWo0+4C01rJ2X0NXkSE6hm/QBgCBEcJOr4jiNjZULzqCT7DYJTxiug0yt05oPY7ckg9qFx4gOoLHG2fjlGSX8Q9nsz/ySSxuW2de6jYk5P4kOobvCE8WenpFFLcpkfwhdZefiiOxLeEm0TE8i8YfCIoWnYLI7RIjWNy2RUqAEWGFnJLsMhy1JR/F4rblroopxKX580TH8C0GFrcIDdAinHvdus0tx8bCHJYqOobnYDdO8lHJkYGiI3i0++L2Q5JtomN4r1DOqCHf1DGKxW1LtNOb8Io8B5LNLDqKb2Fx68AfVPeptarxjHQXZEkx//zKxvW25KNiQvQI9tOIjuGxxto2io7g3ThySz4qOTIQapUkOoaiSZKMZfGfQlOVLTqK7zGkCD29YqqbTjHBoiP4lC/z43Cw3bWiY3gGrrclH9aR09/OS8eAeoQW/iU6hnfjrBryUTqNCokGLhtpziepGxGV97voGL4pQuzsUMUUt93iWNy6283HJ8IanCA6hvKFc+SWfFfXWL43n4/74g5wSrKrxfYSnYBIGM54PLtb4nMwOuc90TF8lATEit2ZRTHFbReO3LpdsVmLt/zvFh1D+doNFp2ASJg+7cNER/BIY61/iI7g3VRavjeTT2NTqaZ1DqzH06bXeXNRlIiOgH+Y0AiKKW57JoRCw/UDbvdOVjKy2k0WHUO5tAFAu4GiUxAJ0z8xXHQEj9M5sB4hRVtFx/BucX0AHadlku9icXsmrUrGN5EfQF1bJDqK70oYIDqBcorbQD8NeiSEio7hk27OvQJ2/0jRMZQp8QJAzU7e5Ls6RQexqVQr3Ru3j6MGrtZhmOgEREJxxuOZvuz4K0K5/ZpYLG4buyDFIDqCT8qs12NR2F2tes3641ZM/qoO8W9UQ3q2CssPWhp9/pbl9ZCerWr0ccGHtc0e02KT8dw6Ezq+XQ39C1Xo824Nfj5ibfScL3Zb0P7NahheqcJjq4yNv44KOzq/U4Mqk9yqr6VZSSOddywiD6RSSeibGCY6hkcZbWGXZJfrMFx0AiKhesSHwBCoEx1DMe5LPIaB2Z+IjkEsbhu7ICVCdASf9eyxbiiOH9fi59eaZfSJUWHeJP1Zn3NJqhr5jwQ1fKy8sfkpZE/9ZsJ72814Z6Ie++8JwuwBOlyxuA478x0jICV1dtz2Qz1eH6/HL9MDsWiXBT+mnyyq7/qxHi9f5IcQPydOb08e5bxjEXmofpya3GJdg+o4JdnVJJVjVg2RD1OpJIzuHCU6hiL0DanBQ9VvQIITBzeo9bQBimj0p6jidlCSgetuBZpZfD1kv5ZNc5nYSYsXxulxZbezT9n1U0uIDVI1fBj8m/+3/Wy3BU+M8MOkTlqkhKtw1yAdLu6owRubHZtvHy2XEeonYVpPLQYlqDE2WY39xXYAwJd7LNCppWbztJouGIjr67zjEXmoC5I5q6al7o3dB0m2i47h3aK7C29YQqQEY7tGi44gnL/ahi9C50NVXyY6CiWNBDR+olMoq7gN4rpbofZUB+K7yDuddry1mVZEv1aNzu/U4Pbv61FU2/wFn8kG6E9b2uevBf7IckxN7mRQoc4iY2e+DWX1Mrbm2tA7Ro2yehn//t2IeRPPPop8XjoMBdRca0g0KNnAdbctNMrMLskux/W2RACA0Z2ioPbxQaFvU1YisDhNdAwCgE7jRScAoLDiFgCGcmqyUA8d7YeqmLZvrzAxVYMvrvTHbzMC8MYEP2zNs2HcojqYrGefMnJxRzXm/GnG4VIb7LKM1RlWfHfQivwax2vC/SUsmuqPm5fXY/AHNbi5jxYXp2rw6Coj7husw7EKO/q9V4Oe82uwZL/lrOdpMa63JQIAaNUqjOzMpnPn0iO4FsHF20XH8H4sbokAAKEBWgzw4WUjTyYdQvfsr0THoBNSLxKdAIACi9vx3TnFQiRZlnB39a2QNW0bBZ3WU4tLO2vRM1qNyV20+OnGAKSX2vHjYetZX/PWJXp0MqjQ9b+10D1fjXt/MuLWvlqoT7kpeUU3LfbcFYQj9wfjmTF6rM20Yk+RDbcP0OG6JfWYe7Ee317rj1ktGCk+p2QWt0QnjO3C9+ZzuTeGU5JdT2IzKaJT+OrU5BGGStxWPkd0DDohIhUwJItOAUCBxW3/xHDEhzp5eim1yh9loVgbN8upx4wLVqFDmAqHS89+4RcVqMLy6wJQ+0Qwjj8YhIP3BCJIJyE5vOlvU5NVxt0/GvHeZf44UmaH1Q6MTtKgS6QanSNU2JLThq049KFAbJ/zfz2RlxnbNRqSb89+O6cRnJLsekkjgCDfvJgnaso4HyxuQ7VWfKh/G5KpWnQUOiFVGVOSAQUWt5Ik4dLecaJj+LzZGUNRH9nTaccrrbMju9KOuOBzXx3rNRISQlSw2oFvD1gwpUvTa/2eX2/CxFQN+sepYbMDVvvJKc8WG2BrS9O8bpMBleJ+PIiEiQzyQ592YaJjKFav4FoEFXFKssv1vUF0AiJF6RIbjIQwf9Ex3GpZh2XQlx0QHYNO1f1y0QkaKPLq/bLe8aIj+DyTXYXHTHdAVjVdWNaYZaQV2JBW4BgdPVZuR1qBDVmVdtSYZTy6yojN2VZkVtixNtOKyV/VIzJAwhVdT3YzvnlZPf615uRetVtyrFh6wIKj5XZsOG7FJV/UwS4D/xh+Zue1fUU2LN5nxXNjHZ/rGqmCSpLw0Q4zfky34GCJHYPi1ef/F9B/xvm/lshLTenL9+azuSdmL7ehcDVtINBNORdQREoxtqvvbAn0csoepOQsEx2DThWWCCQOFZ2igSLbX/ZpH4ZEQwCyyupER/FpK4ojMbPzdPTPWnjG57bl2TB20cl/n4dXmQCYMKOPFgsu1WNPkQ2f7rKgwigjLljC2CQNFl/tj+BT9qDNqrRDJZ28v2K0Ova6PVpuR5BOwqROGnx2hT/C9I1He2VZxh0rjHjzYj8E6hyf89dKWDhVj3tWGmGyAvMm6ZEQcp73bqK6Ae3b3lSLyNtM6ZuAF1cegKVN0yK8E6cku0H3ywG/INEpiBRnXNdofP5nlugYLndJVCmmFc0VHYNO1+taKGndkiTLsiKvUl75+SAWrM0QHcPnBWus2B75DHQVR0VHcZ+LXwKG3i06BZEi3f7pNqzeXyg6hqL0DqnBd+Y7OXLrajd/D6SMFp2CSHEsNjuGvvQbSmpMoqO4TLSfBX+EP+tb16Oe4t5tQGQn0SkaKHJaMsDpb0pRbdXgBdXdkKGcOzIupfYD+lwnOgWRYl09oJ3oCIpzTzSnJLtcaHsgeZToFESKpFWrMG2Qd783L2/3FQtbJYrvp6jCFlBwcds1NgSDkw2iYxCAT/Pikd7+atEx3KPbZUAAv++IzmZc12gYAnWiYyjKcNMG0RG8X+9pipr2RqQ0NwzpAJWX/ojMT92K+NyfRcegpvRRXpM/xRa3ADBzeJLoCPS3m7Iugy3IB0bT+98sOgGRomnVKo7enqJ/aA0Ci9NEx/B+fa4XnYBI0RLC/L1yW6CrYwsxMf+/omNQU/xCFdnBXtHF7fjusT7X3lypikxazAvw8nWo4UlAMtdzEZ3LLcOSoPHWIYJWuitqD6cku1q7wUBkqugURIo3/YIOoiM4VaK/ES/bXodkM4uOQk3pf5Mim/wpurhVqyTMGOZdP6ie7M2sFOS0u1R0DNfpdxOnvRG1QHyYP/cj/9sw43rREbzf4NtFJyDyCKM7R6FTtPKKjfMhSTKWxS6CpjpXdBRqiqQGhtwpOkWTFF3cAsC0QYkI0LVhv1Jyqhl5V8LuHyE6hvOpNEDfG0WnIPIYt49MER1BuP6h1Qgs2SU6hnczpAA9rxKdgsgjSJKE20d5x3vzwtQ/EJG/TnQMOptukx372yqQ4ovbUH8trurP9V1KkVHnjy/CZouO4Xx9bwRCOBJF1FI9E0IxNMULb3S1wj3Re1xy3AVbzei9oAYhL1Uh5KUqDP2oFj8dtjR8XpZlPLPWiPg3quH/f1UYs7AW+4pszR7zg+1mjPykFuGvVCH8lSpc9Gkt/spt/JovdlvQ/s1qGF6pwmOrjI0+l1lhR+d3alBlcvMU7BEPAyre4CZqqal9ExAbohcdo01mJmRjVM77omNQc4beIzrBWSm+uAWAO0alQKf2iKg+4eljPVAa50VrU9V+wOh/iE5B5HFmj+koOoJQQ+tdMyW5XYiEly/yw7Y7ArHtjkCMS1Jjytf1DQXsqxvNmLPZjHmT9Nh6eyBigySM/6wO1c0UnmuPW3F9Ty1+nxGIzbMCkRiqwoTPapFbZQcAlNTZcdsP9Xh9vB6/TA/Eol0W/Jh+sqC+68d6vHyRH0L83Lh0IzSRW7MRtZJOo8LMEUmiY5y3rkF1eNL4BiS5+Rt2JFDKGKD9YNEpzsojKsb2hgBMG9RedAw6xazSGyHrvGNdBwbeCoRydgBRa43uHIUhPrpl2+CwKgSU7HbJsSd30WJSJy06R6jROUKN/7tQjyAd8GeODbIsY+4WM54c6Ycru2nRM1qNRVP9UWeR8eUey1mP+cWVAbh7kA59Y9XoGqnGB5P1sMvAr8esAICj5TJC/SRM66nFoAQ1xiarsb/YUfh+uccCnVrCld20Lvl6z2rkQ4Dazeck8gI3DOmAEL1GdIxW06pk/C/iA6hri0RHoeZc+G/RCZrlEcUtANw3LhV6rcfE9XppVUFYEXWH6Bhtpw0ARj4iOgWRx3p8YlfREYS4K8o1he3pbHYZX++1oNYCDG2vxrEKGQU1MiZ0PHnh6qeRMDpJg005LR/pqLMAFjtg8HeMxHYyqFBnkbEz34ayehlbc23oHaNGWb2Mf/9uxLyJbp7maEgB+nFrNqLzEeSnwYMXdRYdo9W+7rgGIYVbRMeg5nSbDCQMEJ2iWR5TLUaH6DFzeLLoGHSK+48OQHX0QNEx2mbIbCDo3PvCrV+/HpMnT0Z8fDwkScLy5ctdn43IA/RLDMclPWJFx3C7C+pc2yV5T6ENQS9Wwe+FasxeUY9l0/zRPUqNghrHaGpMUOPpwTGBUsPnWuLxNUYkBEu4KMVRJIf7S1g01R83L6/H4A9qcHMfLS5O1eDRVUbcN1iHYxV29HuvBj3n12DJ/rOPEDvNuKcAteeNPBEpxYxhSegaGyw6Ros9mHgU/bMXio5BzZHUwDhlj9oCHlTcAsBdYzoiIlAnOgb9TZYl3Ft7K2S1n+go5ycwGhj5cIueWltbiz59+mDevHkuDkXkeR67pAvUPrTv7ZCwKviX7nXpObpEqpA2Owh/3haIuwbqMGO5EfuLT47Mnv63LctnPnY2r2404au9FiydFgC95uSrruimxZ67gnDk/mA8M0aPtZlW7Cmy4fYBOly3pB5zL9bj22v9Mev7ehTVtryQbrX4fkCPK113fCIfoFZJeG5KT9ExWqR/aDXur3pD+J7h52rmd8vyekjPVjX6uODD2hYf/+u9FkjPVmHq13WNHldkM7+m9LkeiFL+jACPui0arNfigYs64d/f7RMdhf62rjQcf3S6FSOz3xUdpfUufBrwa9ldzYkTJ2LixIkuDkTkmTpGBWHaoPb4ckuW6ChucVfUbiDbtefQqSWkGhyF58B4Nbbm2fDWn2b8c4TjZmJBjYy4U96+iupkxASd+37165tMeHGDCWtuDkTvmLN3ITZZZdz9oxGfX+mPI2V2WO3A6CTHJUPnCBW25NgwuYuL7o9f9Cz3HCdygsHJBkztG4/laXmio5xVoNqOz0IWQFVcLjpKQzO/VIPjvW1RmgVTvq7HzjtV6BHteL+8JFWNT6b4N7xGp27Ze9XxCjseXWXEyMTG77snmvktnOKPlHAVLv2yDmOS1Li0s6PfgJBmfk3RBQFjnxCboYU8auQWAG4YnIjucSGiY9ApbssYAWNEd9ExWie2N9B3uugURF7jnxd3RWSQb8ysGeLiKclNkQGYbEBymITYIAmrj1obPme2yViXacWwds1vmfPaRhOeX2/Cz9MDMDC++ec+v96Eiaka9I9Tw2YHrPaTowYWG2Bz1SBC96lAihd14ycS7IlJ3RDkp9yxrCUpKxBYnCY6BoDmm/md4KeWEBukavg40begOTa7jBuX1uPZMX5ICW9ceimymV9TRj0GhCaITtEiHlfcatQqvHp1b2h8aAqc0pnsKjxuvQOy5EF7EV7yMqDyuG9/IsUKDdDi6cs87CbXeRgeXunyKclP/GrEhuNWZFbYsafQhid/NWJtpg039tJCkiQ8OESHFzeYsOyABXuLbLhleT0CtBJu6HXyAujmZfX415qT09te3WjCU7+b8PHl/kgKU6Ggxo6CGjtqzGdWqfuKbFi8z4rnxjpGibtGqqCSJHy0w4wf0y04WGLHoHMUx+clMAq4dI7zj0vkw6JD9Hjwok6iYzTp6eSD6Jb9tegYTTq9md8JazOtiH6tGp3fqcHtLVyi8dw6E6ICJczqf+YNYMU182tKZBdF72t7OuXeymlGz4RQ3DYyBe+uyxAdhf62vDAat3S6EX2zPxUd5dz6TQeShotOQeR1pvRNwJLtOdhwuER0FJe5M9L1U5ILa2TctKwe+TWOO/q9Y1T4+cYAjP+7Q/I/hutQb5Vx90ojyutlDGmnxqqbAhB8yrS1rEo7VNLJG3jzt5phtgFXf1Pf6Fz/Ga3DM2NOXjzJsow7Vhjx5sV+CNQ5juevlbBwqh73rDTCZAXmTdIjIcQFNwcvnQMERjj/uEQ+7pZhSfjftmykF9aIjtJglKECM0uVdzNrT6ENQz+qhdEKBOnQ0MwPACamanBNdw06hKlwrNyOp383YdyiOmy/IxB+mqYH3TZmWfHRTgvSZgc2+flTm/nVW+SGZn4zv6tvaOZ3+dd1sNiAZ8b44eru7h7FlYDL3/aobdkkWZYVsEK59YwWGya9tQFHS1q+kJtcK1RrxTbDf6CtPCY6ytlFpAJ3rgd0Tb/JtIQkSVi2bBmmTp3qvFxEXiKrtA4T5q6D0eLChkMCHUh4Af6l+0XH8D49rwau/kh0CiKvtTmjFNd/8KfoGAAc14tbol6Evuyg6ChnMNtkZFXKqDDK+Ha/BR/utGDdLQENBe6p8qvt6DC3Bl9f7d/k1OFqk4ze79Zg/iQ9JnZyfP6W5fWoMMpYfl3AWTOszbTisdVGrLslEKlv1+Crq/wRGyRh8Ie1OHxfEKID3TjzcOAs4DLl3YRojsfOy9Rr1Xj5qt7sOaEglRYNXtLMhtzinp1uptYBV33UpsKWiJqXGBGAhzxwf8WWGGWoYGHrCkGxwKTXRKcg8mpDO0Zgcp940TEAAMs7LFVkYQucaOanwsB4NV66SI8+MSq89ae5yefGBavQIUyFw6VN38zNKLcjs0LG5K/qoXmuCprnqvDpLgu+P2SF5rkqZJSd+boTzfzeu6xxM78ukeqGZn5uE54EjH/WfedzEo8tbgFHF7gbhySKjkGn+Di3PTLaK3QLh3FPAfF9z+ulNTU1SEtLQ1paGgDg2LFjSEtLQ1aWb3SHJWqNO0alYERqpOgYTndHxC7REbzT5LlAgEF0CiKv9+zlPRAfKnYN56sddyE5Z7nQDK1xoplfU0rr7MiutCMuuOlBna6RKuy5KxBps09+XN5Fg7HJaqTNDkT70DNfJ6yZ3+lUGseAUAt3FVESjy5uAUcXuM4xQaJj0Cluyp4MW2Cs6BiNpYwBht1/3i/ftm0b+vXrh379+gEAHn74YfTr1w///rfyN7MmcjdJkjDn2j5ety/5wNp1oiN4nz7XA124zRqROxgCdVgwfQB0GjGX/xOjSnBN4dtCzt0SzTXzqzHLeHSVEZuzHZ9fm2nF5K/qERkg4YquTTfz02sk9IxWN/oI00sI1jkeP30bIWHN/Joy5l9Au4HuOZeTeWRDqVMF6DRYMH0ApszbiBqT9dwvIJfLN+owP/oe3Ff7tOgoDgERwBXvtWnfxDFjxsBDl6cTCREdosfr1/bBzIVb4Q0/OmMM5YqdRuexguMdneuJyG36tA/Ds5f3wL+W7nHreWP9zHhbNReStf7cTxakuWZ+9RYZe4ps+HSXBRVGGXHBEsYmabD4av9mm/m1lNBmfqdLGgmMeNj153ERj20odbofd+fjni93iI5Bp9jU8VPE5/4sOgZw/WKgyyWiUxD5pOdX7MdHfyi4yVwLfdlpLYZlvy86hvdQaYAblwAdx4pOQuST/rlkNxZvc3Hr91P82XEhYnNXue18dJ78w4G7NgEhyliffT48flryCZf2jsPM4cmiY9ApZhRcA7s+XGyIQbezsCUS6J+XdEX/xDDRMdpsQA2nJDvVxFdZ2BIJ9NzUHujTLtQt53o3dQsLW0+g0gBXf+LRhS3gRcUtADwxqSsGdhBcTFGDw7X++NowW1yAmJ7AhBfEnZ+IoNOo8O5NAxAnuIlJW1wYUQa/8kOiY3iPYfcBg2aJTkHk0/w0asyfPgAGF/dGmBZXgIvz5rv0HOQkl7zsFTcdvaq41ahV+O+N/RET4ic6Cv3tiaO9UBY30v0nDusATP8W0HruBTWRt4gO1uP9mwbCX+umRhhOdptht+gI3qPb5cD450WnICIACWH+eOf6flCrXLOFY5K/Ef9nfQOS3eKS45MTDboNGHy76BRO4VXFLQDEhOjx6cwhCPU/czNlEuO2sumQ3bm3bFAMcPNyIFhhHZuJfFivdqGYe11fuOgayqX616wVHcE7JAwArny/Tc39iMi5hqdG4tEJXZx+XEmS8W3sQmiqc51+bHKylDHAJa+ITuE0XlfcAkCX2GB8NGMg9Fqv/PI8zo7KYPwc7aa7QfpQYPpSwJDinvMRUYtd3CMWT17aXXSMVrkoogx+5emiY3i+sETg+q8Brb/oJER0mrvGdMSUvs5dZ/lp6gZE5K936jHJBaK6AtcsBNQev4FOA6+t/gYmGfDfG/pD44nDBF7o3oyBqInq79qTaAOAG74BYnu69jxEdN5mjUjGAxd2Eh2jxW4zpImO4Pn8Qh3vzUHRopMQ0VnMubYvLu/jnAJ3VkI2RuR84JRjkQsZUoCbv3N0SPYiXlvcAsCF3WLwylW9OQNKAWyyCg/UzYSsdlHjApUWuPYzIHGIa45PRE7z0PjOuHO0Z8yu6M8uyW2j0gLTPgWiu4pOQkTNUKskvDmtL67ol9Cm43QLqsOT9a9Dkm1OSkYuEdoeuPl7r1zC59XFLQBcNaAdnpzUTXQMAvBrqQGb429x/oElFXDle0Cni5x/bCJyiX9N7IZbhiWJjtGsiyNLoSs/LDqG59L4A9d+6ljPRUSKp1ZJeOOaPriqf7vzer1WJWNxxPtQ1RU7ORk5VVCsY8Q2rL3oJC7h9cUtANw2MgX/vqw7R3AVYNbRkTAanHwHf9LrQM+rnHtMInK5/0zujusHJ4qOcVazwtNER/BcfqHATUuBrpNEJyGiVlCpJLx2dW9MG9j6wmdxx9UIKfzLBanIaQIiHYVtREfRSVzGJ4pbAJg5IhkvX9nLIzt1epN6mxpP2u6ELDlhSxBJBVz8IvdLJPJQkiThxSt64rYRyaKjNKlv9VrRETxTUAxw60qgwzDRSYjoPKhUEl6+qlerbj4+0iED/bIXuTAVtVlYIjBrldcvE/GZ4hYApg1KxDvX94dO7VNftuJ8WxiDve2vb9tBtIGONbZD73FOKCISQpIkPHVZdzwxqauiZtdMjCqBriJDdAzPE54MzPyFjf2IPNyJm4/TLzh3gTswtBr3VL4BCbIbktF5iekJzFrt1SO2J/hclXdp7zgsvHUQgv28p+W1J7r52ARYQjqc34tDEoCZPwPdLnNuKCIS5o5RHTHn2j7QqpVR4c4K2yk6gueJ7eUYFTAocySeiFpHkiS8MLUXZgw9+/VaoNqOT4PnQ2WscF8wap0Owx2zabyweVRTfK64BYBhqZH4+s4LEB+qFx3FZ5VbNHhNd1frXxjfH7j9NyCut/NDEZFQV/Rrhw9nDEKgzgnLFtqoTxW7JLdKh+HALT9yux8iL/TslJ54fGJXqJtY2/dtyg8IKNklIBW1SLfLgelLAX2o6CRu45PFLQD0iA/FD/eNwLCOEaKj+Kz3cxJxtN0VLX9Bjyt96s4TkS8a3TkKy+8ZjpTIQGEZLosqhrbyqLDze5yul/ncxRORr5k9uiMW3joIYQHahsf+k3wAXbMXC0xFZyWpgHFPOTrWa31rME+SZdmnJ8jb7DJe++UQ3l3HtVUiJOhNWB/4ONS1hc0/cfQ/gTH/gqIW5RGRy1QbLXjkf7uwav853htc4NtOqzAge6Hbz+txVBpg7JPAiIf43kzkI7LL6nDHZ9sRYzqOT6z/gGSuFR2JTucfDlz1IZDqm1tk+nxxe8LPe/Px6De7UWOyio7icx7vkI7Zhc80/UmNHpjyX6DX1W7NRETiybKM+Wsz8MaqQ7C78TfV4ZgnoK3MdN8JPVFIAnDVR0CHoaKTEJGb1ZttMK95AaF/zREdhU4X2wuY9jkQniQ6iTAsbk+RUVyD2Z9tx+GiGtFRfM6fKZ8gNm914wcjuwBXvgfE9xMTiogUYcPhYjz6zS4UVplcfq4pMUV4q/JBl5/Ho6WOB654Dwjksh4in7bzc2DlY4ClTnQSAoABtwKXvARo/UUnEYrF7WmMFhveXJOODzccg82dQwU+rmtQHVZqHnV025NUji1+xj7lc+sEiKhplXUW/Pv7vfguLc+l51na6Rf0516NTdMGAOOfAwbfLjoJESlFyWFg+d1Azl+ik/iu4Djg8nlAJ9+chnw6FrdnsSu7Ao8t2YX0Qo7iusurKbtwrfEbYOoCIPEC0XGISIF+2pOPJ5fvRVmt2SXHPxz9L2irjrvk2B4tYSBw5fs+sUciEbWS3Q5sWQD8+jxgrRedxrf0uhaY9KpjnS0B8OFuyefSp30YVtw3EveNS4Wmidbn5FwalYSMdldAnr2RhS0RndXEXnFY9dAoTOzp/K7pV8QUsbA9ncbf0XFz1qoWFbbr16/H5MmTER8fD0mSsHz5ctdnJCKxVH/PuLtrI9BhhOg0viEoBrhmEXDVByxsT8Pithk6jQqPTOiC7+4djt7tuMWBq/RpF4rv7h2Of03qBkkXIDoOESlcZJAfFkwfgM9mDUZqdJDTjjsjZIfTjuXxJBXQ53rgvu3AqMcAVcv2Hq6trUWfPn0wb948FwckIsWJ6AjcsgK47E0ggGvyXUKtA4bd73hv7jFVdBpF4rTkFpJlGd/vysPrqw4hu4xTLpwhIcwfD43vjCv7JUDF0XEiOg9Wmx2LNh/H3DXpqDa2rdv9keh/QlOV7aRkHixlDDD+eSCud5sOI0kSli1bhqlTpzolFhF5EGMlsP51YMt7gM31zQB9Qup44JKXgchU0UkUjcVtK5mtdny6ORPzfj+CijqL6DgeKTxAi3vGpuKmoR3gp2nZaAARUXNKa0x4Y3U6vtmWDYut9b/Wro4pwOuVD7sgmQeJ7u5oGNVpvFMOx+KWiFCeCax5Bti3THQSzxXZ2XHDscslopN4BBa356my3oIFazPwycZjMFntouN4hACdGrNGJOOOUSkI1mtFxyEiL5RTXof//n4ES7bntKrI/a7TT+iT/ZkLkylYUCww9gmg3/QWTz9uCRa3RNQgeyuw7hXgyOpzP5ccDB2BMY8DPa92rGumFmFx20ZFVUZ8vDETX2w53uYpcd4q1F+L6wa1x20jUxAV7Cc6DhH5gJzyOsxfm4El23Jgtp37BuSRqMegqc51QzIFCY4DBs0CLrgb0AU6/fAsbonoDPm7gT/mAPu/A2QODjUpqhsw8hGg55VOveHoK1jcOkmNyYqvtmRh0eZM5JRzTS4AdIoOwi3Dk3Blv3bw1/GHk4jcL6+iHl9sOY7FW7NRUtP09kHXxhbg1QpfmZIsOdbUDpwJdJkEqDWuOxOLWyI6m9IM4I83gd3/45pcAIAEdBzn2Ee88yWAxF4054vFrZPZ7TLWHCjEos2Z2JRRCl/725UkYGyXaNw6PAkjO0WJjkNEBMDRL+Gnvfn4/M/j2JpZ3uhzP3T6Eb2yvxCUzE0CIoC+NwADbnXbXrUsbononOrKHAXujkVA0X7RadzP3+BYEjLwVsCQIjqNV2Bx60K5FfVYsSsP3+/Kw768KtFxXKpbXAgu6x2Hyb3jkRjB7XyISLkOFlRh8dZs/Lg7H8U1RhyO/If3TklOHOoYpe0+BdC4fllITU0Njhw5AgDo168f5syZg7Fjx8JgMCAxMdHl5yciD5azzVHk7l0KmGtEp3EdlQZIHg30nubYzqeV783r16/Ha6+9hu3btyM/P583EU/D4tZNMopr8H1aHn7YlYejJbWi4zhFl5hgXNo7Dpf2jkPHKOftNUlE5A52u4x9mXnodWAOcHAlUJ0nOlLbqTRAwkDH9LZuk4GY7m49/dq1azF27NgzHp8xYwYWLlzo1ixE5KEs9UDGb8DBH4FDPwH1ZaITtZ1KC6SMBrpPBbpeCgQYzvtQP/30EzZu3Ij+/fvjqquuYnF7Gha3AuzPq8LGIyXYlFGCrZnlqDF5RiMqnUaFgR3CMTw1EhO6x6BTTLDoSEREziHLQO4O4OAK4NBKoPgQAA/59RjWAUi90FHQJo8C9KGiExEROYfdBhzf5Ch0j6wBSg+LTtRyIQlA0khHn4MulwD+4U4/BZd/nInFrWBWmx27ciqxOaMEmzJKsTOrAvUWm+hYABxb9/RtH4aBSQYMTjJgYFI49Fo2hiIiH1BfAeTtcBS8eTuB3O1Adb7oVA66YCB5pKOY7TjObWtoiYiEqykGsjY7Ct6sTUDBXkBWxnUzQtoB7Qc73p+TR7vlvZnF7ZlY3CqM3S4jq6wOhwqrkV5Q7fizsBrHSmpbtWdja/hpVEiJCkJqdBA6RZ/8MzkyEBo199UiIgIAVOWfLHhztwMFu4G6UtedTxsAhCcBUV2B6O5AdDfHR3gy9zwkIgIAUzVQuB8oPuj4KDrg+NOVNyN1wYAhGYjtBcT0BGJ7Ov5sw1Tj88Xi9kwsbj2ExWZHTnk9CquMKKo2oajKiPI6M8rrLKioM6PWZIP9739KWQZkyI4/ZUCrUcEQoEV4oA6GAJ3jz0AdwgN0iA/To314AFQqthwnImo1mwWoLT75UVPc+P9ri4H6csd6K40foNE3/afW31HMhrZ3FLThHYCgaNFfHRGRZzJWApW5QFWeo59CbTFQW+K4IWk1AlYzYDvlw251vAdrAwBdAKANdPypD3VMLw5t9/efCYpa+sHi9kyu2+COnEqrViE5MhDJkYGioxAR0QlqLRAS7/ggIiJl0Ic6PtzcVI/E47wmIiIiIiIi8ngcuSUiIiIiIvIAp+4nDgDHjh1DWloa9xP/G9fcEhEREREReQDuJ948FrdERERERETk8bjmloiIiIiIiDwei1siIiIiIiLyeCxuiYiIiIiIyOOxuCUiIiIiIiKPx+KWiIiIiIiIPB6LWyIiIiIiIvJ4LG6JiIiIiIjI47G4JSIiIiIiIo/H4paIiIiIiIg8HotbIiIiIiIi8ngsbomIiIiIiMjjsbglIiIiIiIij8filoiIiIiIiDwei1siIiIiIiLyeCxuiYiIiIiIyOOxuCUiIiIiIiKPx+KWiIiIiIiIPB6LWyIiIiIiIvJ4LG6JiIiIiIjI47G4JSIiIiIiIo/H4paIiIiIiIg8HotbIiIiIiIi8ngsbomIiIiIiMjjsbglIiIiIiIij8filoiIiIiIiDwei1siIiIiIiLyeP8PJb5Lffnda0MAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x1500 with 18 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,15))\n",
+    "for i, col in enumerate(categorical, 1):\n",
+    "    plt.subplot(6,3,i)\n",
+    "    a_df[col].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "    plt.ylabel('')  \n",
+    "    plt.title(f'{col}')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"categorical.png\", dpi=300)\n",
+    "plt.show()"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -2862,7 +3180,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.2"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/rf_model.pkl b/rf_model.pkl
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diff --git a/scaler.pkl b/scaler.pkl
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diff --git a/svc_model.pkl b/svc_model.pkl
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index 0000000000000000000000000000000000000000..1211b96082066ce1860ec90dee3b7c028dedb81c
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