diff --git a/Generalization/README.md b/Generalization/README.md new file mode 100644 index 0000000..41a76ef --- /dev/null +++ b/Generalization/README.md @@ -0,0 +1,54 @@ +# Generalization 👻 + +Generalization refers to a model's ability to perform well on new, unseen data. In linear regression, achieving good generalization means that the model captures the underlying trend in the data without overfitting or underfitting. + +## Need to know for this section 👨🏽‍💻 + +### Bias and Variance + +- **_Bias_**: + + Bias is the error introduced by approximating a real-world problem (which may be complex) by a simplified model. In linear regression, high bias often occurs when the model is too simple to capture the underlying patterns in the data. + + > **_High bias_** can lead to underfitting, where the model fails to capture the underlying trend and performs poorly on both training and test data. + +- **_Variance_**: + + Variance is the error introduced by the model’s sensitivity to fluctuations in the training data. High variance occurs when the model is too complex and learns not only the underlying patterns but also the noise in the training data. + + > **_High variance_** can lead to overfitting, where the model performs very well on training data but poorly on test data due to its excessive complexity. + +
+ +![generalization](./assets/genaralize.png) +
+ +> For the left img is "high bias but low variance". On the other hand, the right img is "low bias and high varaince". Which both cause the overfitting and underfitting! + +### Overfitting vs. Underfitting + +- Overfitting: + + Occurs when a model learns the noise in the training data rather than the actual signal. This results in excellent performance on training data but poor performance on new, unseen data. + + High variance, low training error, high test error. (low bias) + +- Underfitting: + + Occurs when a model is too simplistic to capture the underlying patterns in the data. This results in poor performance on both training and test data. + + High bias, high training error, high test error. + +### Goal Representation + +Bias vs. Variance Trade-off: + +- **_High Bias (Underfitting)_** ⟶ Simple Model ⟶ High Training Error, High Test Error +- **_Low Bias, Low Variance_** ⟶ Optimal Model ⟶ Low Training Error, Low Test Error +- **_High Variance (Overfitting)_** ⟶ Complex Model ⟶ Low Training Error, High Test Error + +> Training error is E in and Testing error is E out + +### Note 🚨 + +We can visualize overfitting and underfitting by making a learning curve. You can follow the link https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/LearningCurve. diff --git a/Generalization/assets/genaralize.png b/Generalization/assets/genaralize.png new file mode 100644 index 0000000..cc78fc0 Binary files /dev/null and b/Generalization/assets/genaralize.png differ diff --git a/LearningCurve.zip b/LearningCurve.zip new file mode 100644 index 0000000..acc3499 Binary files /dev/null and b/LearningCurve.zip differ diff --git a/LearningCurve/Noisy/LinearModel.ipynb b/LearningCurve/Noisy/LinearModel.ipynb index bc13d56..2ae108b 100644 --- a/LearningCurve/Noisy/LinearModel.ipynb +++ b/LearningCurve/Noisy/LinearModel.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -70,13 +70,13 @@ "(-2.0, 2.0)" ] }, - "execution_count": 3, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -116,62 +116,63 @@ "output_type": "stream", "text": [ "Sample Size: 2\n", - "Bias: 0.32940056561288517\n", - "Variance: 9.928758580539577\n", - "E_out: 10.348159146152463\n", + "Bias: 0.30431498476295016\n", + "Variance: 6.654415454949708\n", + "E_out: 7.048730439712658\n", "\n", "Sample Size: 10\n", - "Bias: 0.3312362759682788\n", - "Variance: 0.08174548608883046\n", - "E_out: 0.5029817620571093\n", + "Bias: 0.3009852888337678\n", + "Variance: 0.0832787023681219\n", + "E_out: 0.47426399120188967\n", "\n", "Sample Size: 20\n", - "Bias: 0.32811633536538976\n", - "Variance: 0.03516883344477911\n", - "E_out: 0.4532851688101689\n", + "Bias: 0.30008441934015195\n", + "Variance: 0.03708737623696172\n", + "E_out: 0.4271717955771137\n", "\n", "Sample Size: 30\n", - "Bias: 0.32807677208150837\n", - "Variance: 0.02318719995335271\n", - "E_out: 0.4412639720348611\n", + "Bias: 0.2996398879320528\n", + "Variance: 0.02382473546527945\n", + "E_out: 0.41346462339733225\n", "\n", "Sample Size: 40\n", - "Bias: 0.32742686103010193\n", - "Variance: 0.017153983089768204\n", - "E_out: 0.4345808441198701\n", + "Bias: 0.2994942653326635\n", + "Variance: 0.015847364917404877\n", + "E_out: 0.4053416302500683\n", "\n", "Sample Size: 50\n", - "Bias: 0.3270911945193211\n", - "Variance: 0.01315476308342712\n", - "E_out: 0.4302459576027482\n", + "Bias: 0.2995476341949623\n", + "Variance: 0.012252176888258672\n", + "E_out: 0.40179981108322094\n", "\n", "Sample Size: 60\n", - "Bias: 0.3269787875061509\n", - "Variance: 0.010693093728994189\n", - "E_out: 0.4276718812351451\n", + "Bias: 0.2993292052722416\n", + "Variance: 0.010888833754083593\n", + "E_out: 0.40021803902632525\n", "\n", "Sample Size: 70\n", - "Bias: 0.3268349658228573\n", - "Variance: 0.009157558905432921\n", - "E_out: 0.4259925247282902\n", + "Bias: 0.2993818292838258\n", + "Variance: 0.009669142139706238\n", + "E_out: 0.39905097142353196\n", "\n", "Sample Size: 80\n", - "Bias: 0.32656907792113193\n", - "Variance: 0.008399056829487616\n", - "E_out: 0.42496813475061956\n", + "Bias: 0.2993377144609506\n", + "Variance: 0.007783833902059132\n", + "E_out: 0.3971215483630097\n", "\n", "Sample Size: 90\n", - "Bias: 0.32698136592299804\n", - "Variance: 0.007077368253627459\n", - "E_out: 0.42405873417662554\n", + "Bias: 0.299421731321395\n", + "Variance: 0.007130906189551714\n", + "E_out: 0.3965526375109467\n", "\n", "Sample Size: 100\n", - "Bias: 0.32664994485183635\n", - "Variance: 0.006595551429726186\n", - "E_out: 0.4232454962815625\n", + "Bias: 0.29930950603501005\n", + "Variance: 0.006711054387490234\n", + "E_out: 0.39602056042250033\n", "\n", - "[0.00047399 0.23124511 0.25898581 0.27046051 0.273676 0.28126268\n", - " 0.28209611 0.28529381 0.2858847 0.28643742 0.28695819]\n", + "[1.96808462e-04 2.29917704e-01 2.59120081e-01 2.73001428e-01\n", + " 2.76424958e-01 2.78929651e-01 2.82232820e-01 2.86385562e-01\n", + " 2.84331336e-01 2.85955196e-01 2.86254097e-01]\n", "(11,)\n" ] } @@ -183,6 +184,7 @@ "E_in = [[] for _ in range(len(sample_size_sets))]\n", "E_d = [[] for _ in range(len(sample_size_sets))]\n", "E_out_all = []\n", + "bias_all = []\n", "\n", "\n", "for i in range(len(sample_size_sets)):\n", @@ -208,6 +210,7 @@ " z = np.square(mean_model - y)\n", " bias = np.mean(z)\n", " print(f\"Bias: {bias}\")\n", + " bias_all.append(bias)\n", " \n", " z = np.square(E_d[i] - mean_model)\n", " var_x = np.mean(z)\n", @@ -229,12 +232,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { - "image/png": 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+ "image/png": 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", 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" ] @@ -245,8 +248,11 @@ ], "source": [ "plt.figure(figsize=(10, 6))\n", + "bias_avg = np.mean(bias_all)\n", + "plt.plot(sample_size_sets, bias_all, label=f'Bias {bias_avg:.2f}', c=\"black\", linestyle='--')\n", "plt.plot(sample_size_sets, E_in_all, label='E in', c=\"green\", linewidth=2.0)\n", "plt.plot(sample_size_sets, E_out_all, label='E out', c=\"red\", linewidth=2.0)\n", + "plt.ylim(0, 2)\n", "plt.xlabel('Sample Size')\n", "plt.ylabel('Error')\n", "plt.legend()\n", diff --git a/LearningCurve/Noisy/LinearOriginModel.ipynb b/LearningCurve/Noisy/LinearOriginModel.ipynb index 834568d..ea60403 100644 --- a/LearningCurve/Noisy/LinearOriginModel.ipynb +++ b/LearningCurve/Noisy/LinearOriginModel.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -53,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -70,13 +70,13 @@ "(-2.0, 2.0)" ] }, - "execution_count": 8, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -116,62 +116,62 @@ "output_type": "stream", "text": [ "Sample Size: 2\n", - "Bias: 0.3506579967811249\n", - "Variance: 0.35500964813189484\n", - "E_out: 0.7956676449130197\n", + "Bias: 0.38895088738864475\n", + "Variance: 0.36903124399102744\n", + "E_out: 0.8479821313796722\n", "\n", "Sample Size: 10\n", - "Bias: 0.3072662071030217\n", - "Variance: 0.04634279201821697\n", - "E_out: 0.44360899912123863\n", + "Bias: 0.3113943114540373\n", + "Variance: 0.04445648391073809\n", + "E_out: 0.44585079536477534\n", "\n", "Sample Size: 20\n", - "Bias: 0.3069814151033727\n", - "Variance: 0.018340029152929656\n", - "E_out: 0.41532144425630235\n", + "Bias: 0.30983260380476624\n", + "Variance: 0.019516979019040627\n", + "E_out: 0.41934958282380685\n", "\n", "Sample Size: 30\n", - "Bias: 0.3069965523966276\n", - "Variance: 0.012711143478384684\n", - "E_out: 0.4097076958750123\n", + "Bias: 0.30972808941777374\n", + "Variance: 0.01264475917511855\n", + "E_out: 0.41237284859289225\n", "\n", "Sample Size: 40\n", - "Bias: 0.3071375088778144\n", - "Variance: 0.008679437664795252\n", - "E_out: 0.4058169465426096\n", + "Bias: 0.3096662273132338\n", + "Variance: 0.009407724052277274\n", + "E_out: 0.40907395136551106\n", "\n", "Sample Size: 50\n", - "Bias: 0.3071967276579705\n", - "Variance: 0.007124966114389447\n", - "E_out: 0.40432169377235994\n", + "Bias: 0.3095439198885394\n", + "Variance: 0.008016849489075615\n", + "E_out: 0.407560769377615\n", "\n", "Sample Size: 60\n", - "Bias: 0.30726431819794553\n", - "Variance: 0.006297179747658597\n", - "E_out: 0.40356149794560414\n", + "Bias: 0.3095496945051691\n", + "Variance: 0.005896840123871307\n", + "E_out: 0.40544653462904046\n", "\n", "Sample Size: 70\n", - "Bias: 0.30730219656549784\n", - "Variance: 0.0052037562472336445\n", - "E_out: 0.4025059528127315\n", + "Bias: 0.3094780772491302\n", + "Variance: 0.004998496288463058\n", + "E_out: 0.40447657353759325\n", "\n", "Sample Size: 80\n", - "Bias: 0.30731294292946454\n", - "Variance: 0.004399132635541776\n", - "E_out: 0.4017120755650063\n", + "Bias: 0.3094602492073243\n", + "Variance: 0.004920977975920243\n", + "E_out: 0.40438122718324454\n", "\n", "Sample Size: 90\n", - "Bias: 0.30734857015106726\n", - "Variance: 0.00382336337525226\n", - "E_out: 0.4011719335263195\n", + "Bias: 0.309460450873244\n", + "Variance: 0.0042449580614523025\n", + "E_out: 0.4037054089346963\n", "\n", "Sample Size: 100\n", - "Bias: 0.3073222651582563\n", - "Variance: 0.0037116853050082445\n", - "E_out: 0.4010339504632645\n", + "Bias: 0.30943988954239243\n", + "Variance: 0.0035485810204735706\n", + "E_out: 0.402988470562866\n", "\n", - "[0.12390045 0.2553921 0.27546806 0.28202015 0.28141815 0.28674119\n", - " 0.28417011 0.28932915 0.28949661 0.29045158 0.28957264]\n", + "[0.12511467 0.2585506 0.27458946 0.28259022 0.27940388 0.28771811\n", + " 0.2880633 0.2892881 0.28957775 0.28935932 0.29021918]\n", "(11,)\n" ] } @@ -183,6 +183,7 @@ "E_in = [[] for _ in range(len(sample_size_sets))]\n", "E_d = [[] for _ in range(len(sample_size_sets))]\n", "E_out_all = []\n", + "bias_all = []\n", "\n", "\n", "for i in range(len(sample_size_sets)):\n", @@ -208,6 +209,7 @@ " z = np.square(mean_model - y)\n", " bias = np.mean(z)\n", " print(f\"Bias: {bias}\")\n", + " bias_all.append(bias)\n", " \n", " z = np.square(E_d[i] - mean_model)\n", " var_x = np.mean(z)\n", @@ -229,12 +231,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -245,6 +247,8 @@ ], "source": [ "plt.figure(figsize=(10, 6))\n", + "bias_avg = np.mean(bias_all)\n", + "plt.plot(sample_size_sets, bias_all, label=f'Bias {bias_avg:.2f}', c=\"black\", linestyle='--')\n", "plt.plot(sample_size_sets, E_in_all, label='E in', c=\"green\", linewidth=2.0)\n", "plt.plot(sample_size_sets, E_out_all, label='E out', c=\"red\", linewidth=2.0)\n", "plt.xlabel('Sample Size')\n", diff --git a/Linear-Regression/README.md b/Linear-Regression/README.md index 602514c..2a86591 100644 --- a/Linear-Regression/README.md +++ b/Linear-Regression/README.md @@ -1,6 +1,6 @@ # Linear Regression 📈 -Linear Regression is the **_Supervised Learning_** that can predict the output as a continuous. For example, if we have gender and heigth as features and weigth as a output. We can use linear regression to predict the weigth when new data has come. +Linear Regression is the **_Supervised Learning_** that can predict the output as a continuous. For example, if we have gender and height as features and weigth as a output. We can use linear regression to predict the weigth when new data has come. ## Need to know for this section 👨🏽‍💻 diff --git a/Linear-Regression/model/LinearRegression.py b/Linear-Regression/model/LinearRegression.py index 2d8bf68..5045ab8 100644 --- a/Linear-Regression/model/LinearRegression.py +++ b/Linear-Regression/model/LinearRegression.py @@ -1,8 +1,8 @@ import numpy as np def gradientDescent(n_samples, lr, X, y, y_pred): - d_weigths = (1 / n_samples) * np.dot(X.T, (y_pred - y)) # d_weights = 1 / n * ∑(y_prediction - y_actual) * X - d_bias = (1 / n_samples) * np.sum(y_pred - y) # d_bias = 1 / n * ∑(y_prediction - y_actual) + d_weigths = np.mean(np.dot(X.T, (y_pred - y))) # d_weights = 1 / n * ∑(y_prediction - y_actual) * X + d_bias = np.mean((1 / n_samples) * np.sum(y_pred - y)) # d_bias = 1 / n * ∑(y_prediction - y_actual) weights_gradient = lr * d_weigths bias_gradient = lr * d_bias @@ -14,7 +14,7 @@ def normalEquation(X, y): return new_weights def costFunction(n_samples, y_pred, y): # Mean Sqaure Error (MSE) - return (1 / (2 * n_samples)) * np.sum((y_pred - y)**2) + return np.mean((y_pred - y) ** 2) class LinearRegression: diff --git a/Performance-Estimation.zip b/Performance-Estimation.zip new file mode 100644 index 0000000..b478d81 Binary files /dev/null and b/Performance-Estimation.zip differ diff --git a/Performance-Estimation/Experiments-python/polynomial/ass3.1_modelSelection_.py b/Performance-Estimation/Experiments-python/polynomial/ass3.1_modelSelection_.py index 06c58b4..20501e7 100644 --- a/Performance-Estimation/Experiments-python/polynomial/ass3.1_modelSelection_.py +++ b/Performance-Estimation/Experiments-python/polynomial/ass3.1_modelSelection_.py @@ -33,7 +33,7 @@ def cross_validation(x, y, degree): rmse_cv = np.sqrt(-cv_scores.mean()) return rmse_cv -data_dir = 'Performance-Estimation/Experiments-python/polynomial/datasets' +data_dir = './datasets' files = os.listdir(data_dir) degreeArray = [1, 2, 3, 4, 5, 6, 7, 8] diff --git a/Performance-Estimation/Experiments-python/polynomial/ass3.2_modelSelection.py b/Performance-Estimation/Experiments-python/polynomial/ass3.2_modelSelection.py index 3090404..ad2a814 100644 --- a/Performance-Estimation/Experiments-python/polynomial/ass3.2_modelSelection.py +++ b/Performance-Estimation/Experiments-python/polynomial/ass3.2_modelSelection.py @@ -26,16 +26,16 @@ def polynomial_regression(x, y, degree): files = { - 'Noiseless_10': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noiseless_10sample.csv', - 'Noisy_10': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noisy_10sample.csv', - 'Noiseless_10': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noiseless_10sample.csv', - 'Noisy_10': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noisy_10sample.csv', + 'Noiseless_10': './datasets/sin_noiseless_10sample.csv', + 'Noisy_10': './datasets/sin_noisy_10sample.csv', + 'Noiseless_10': './datasets/sin_noiseless_10sample.csv', + 'Noisy_10': './datasets/sin_noisy_10sample.csv', # 'Noiseless_20': 'Performance-Estimation/Experiments-python/polynomial/data/sin_noiseless_20sample.csv', # 'Noisy_20': 'Performance-Estimation/Experiments-python/polynomial/data/sin_noisy_20sample.csv', # 'Noiseless_40': 'Performance-Estimation/Experiments-python/polynomial/data/sin_noiseless_40sample.csv', # 'Noisy_40': 'Performance-Estimation/Experiments-python/polynomial/data/sin_noisy_40sample.csv', - 'Noiseless_80': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noiseless_80sample.csv', - 'Noisy_80': 'Performance-Estimation/Experiments-python/polynomial/datasets/sin_noisy_80sample.csv' + 'Noiseless_80': './datasets/sin_noiseless_80sample.csv', + 'Noisy_80': './datasets/sin_noisy_80sample.csv' } degree = 8 @@ -60,5 +60,5 @@ def polynomial_regression(x, y, degree): df_results.at[f'w{i}', key] = coeffs[i] print(df_results) -print(results) +# print(results) diff --git a/Performance-Estimation/Nested-CrossValidation/NestedCV.ipynb b/Performance-Estimation/Nested-CrossValidation/NestedCV.ipynb index 59379c3..24a777e 100644 --- a/Performance-Estimation/Nested-CrossValidation/NestedCV.ipynb +++ b/Performance-Estimation/Nested-CrossValidation/NestedCV.ipynb @@ -15,30 +15,29 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "# Load the dataset\n", - "#data = pd.read_csv('HeightWeight.csv')\n", - "\n", - "data = pd.read_csv('sin_noisy_80sample.csv')\n", "\n", "# Extract features (X) and target variable (y)\n", - "#X = data['Height'].values.reshape(-1, 1) # Reshape to 2D array\n", - "#y = data['Weight'].values\n", - "\n", - "X = data[['x', 'x^2', 'x^3', 'x^4', 'x^5', 'x^6', 'x^7', 'x^8']]\n", - "X = X.to_numpy()\n", - "y = data['noisy_y'].values\n", + "data = pd.read_csv('HeightWeight.csv')\n", + "X = data['Height'].values.reshape(-1, 1) # Reshape to 2D array\n", + "y = data['Weight'].values\n", + "\n", + "#data = pd.read_csv('sin_noisy_80sample.csv')\n", + "#X = data[['x', 'x^2', 'x^3', 'x^4', 'x^5', 'x^6', 'x^7', 'x^8']]\n", + "#X = X.to_numpy()\n", + "#y = data['noisy_y'].values\n", "\n" ] }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -46,7 +45,7 @@ "output_type": "stream", "text": [ "Resubstitution RMSE: 0.257766277865693\n", - "CV RMSE: 0.40\n" + "CV RMSE: 0.4852\n" ] } ], @@ -64,14 +63,11 @@ "from sklearn.model_selection import cross_val_score\n", "\n", "# Cross-validation\n", - "fold = 10\n", - "model = LinearRegression()\n", - "cv_scores = cross_val_score(model, X, y, cv=fold, scoring='neg_mean_squared_error')\n", - "cv_rmse = np.sqrt(-cv_scores).mean()\n", - "\n", + "cv_scores = cross_val_score(model, X, y, cv=10, scoring='neg_mean_squared_error')\n", + "mean_cv_rmse = np.sqrt(-np.mean(cv_scores))\n", "#output\n", "print(f\"Resubstitution RMSE: {resubstitution_rmse}\")\n", - "print(f\"CV RMSE: {cv_rmse:.2f}\")\n" + "print(f\"CV RMSE: {mean_cv_rmse:.4f}\")\n" ] }, { @@ -83,15 +79,15 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Mean RMSE (nested CV): 0.3088\n", - "Mean RMSE (regular CV): 15.1747\n", + "Mean RMSE (nested CV): 0.2898\n", + "Mean RMSE (regular CV): 0.4852\n", "Mean RMSE (resubstution): 0.2578\n" ] } @@ -104,7 +100,7 @@ "\n", "model = LinearRegression()\n", "\n", - "outer_cv = KFold(n_splits=5, shuffle=True, random_state=42)\n", + "outer_cv = KFold(n_splits=10, shuffle=True, random_state=42)\n", "\n", "rmse_scores = []\n", "\n", @@ -114,7 +110,7 @@ " y_train, y_val = y[train_idx], y[val_idx]\n", "\n", " # Define the inner loop (for model evaluation)\n", - " inner_cv = KFold(n_splits=3, shuffle=True, random_state=42)\n", + " inner_cv = KFold(n_splits=10, shuffle=True, random_state=42)\n", " inner_rmse_scores = []\n", "\n", " # Inner loop: perform k-fold cross-validation on the training set\n", @@ -131,11 +127,11 @@ " rmse_scores.append(outer_rmse)\n", "\n", "\n", - "# Calculate the mean RMSE across outer folds\n", + "# Calculate the mean RMSE nested\n", "mean_rmse = np.mean(rmse_scores)\n", "print(f\"Mean RMSE (nested CV): {mean_rmse:.4f}\")\n", "\n", - "cv_scores = cross_val_score(model, X, y, cv=5, scoring='neg_mean_squared_error')\n", + "cv_scores = cross_val_score(model, X, y, cv=10, scoring='neg_mean_squared_error')\n", "mean_cv_rmse = np.sqrt(-np.mean(cv_scores))\n", "print(f\"Mean RMSE (regular CV): {mean_cv_rmse:.4f}\")\n", "\n", @@ -143,9 +139,7 @@ "model.fit(X, y)\n", "y_pred = model.predict(X)\n", "resubstitution_rmse = np.sqrt(mean_squared_error(y, y_pred))\n", - "print(f\"Mean RMSE (resubstution): {resubstitution_rmse:.4f}\")\n", - "\n", - "\n" + "print(f\"Mean RMSE (resubstution): {resubstitution_rmse:.4f}\")" ] } ], diff --git a/Performance-Estimation/Nested-CrossValidation/README.md b/Performance-Estimation/Nested-CrossValidation/README.md index 0e3292a..aa360f9 100644 --- a/Performance-Estimation/Nested-CrossValidation/README.md +++ b/Performance-Estimation/Nested-CrossValidation/README.md @@ -1 +1,34 @@ -Use jupyternotebook \ No newline at end of file +# Nested Cross-Validation 🧵 + +Nested cross-validation is a robust technique used to evaluate the performance of a machine learning model and to tune its hyperparameters. It involves two nested loops of cross-validation to avoid overfitting and to ensure that hyperparameter tuning does not bias the model evaluation. + +![nested](./assets/nested.png) +
+ +> We use Jupytor notebook for this section + +## Need to know for this section 👨🏽‍💻 + +### How It Works + +1. **_Outer Cross-Validation Loop:_** + + - Purpose: Estimates the generalization performance of the model. + + - Process: The dataset is divided into several folds (e.g., 5 or 10). For each iteration, one fold is held out as the test set, while the remaining folds are used for training and hyperparameter tuning. + +2. **_Inner Cross-Validation Loop:_** + + - Purpose: Selects the best hyperparameters for the model. + + - Process: Within each training set from the outer loop, the data is further split into training and validation sets. The model is trained on the training set with different hyperparameters and evaluated on the validation set to find the optimal hyperparameters. + +### Benefits + +- **Unbiased Evaluation:** Provides an unbiased estimate of the model's performance by ensuring that hyperparameter tuning does not influence the test set performance. + +- **Robustness:** Helps in selecting the best model and its hyperparameters while mitigating overfitting. + +### Example Use + +Nested cross-validation is particularly useful for models with many hyperparameters or when working with small datasets, as it provides a reliable estimate of model performance and parameter settings. diff --git a/Performance-Estimation/Nested-CrossValidation/assets/nested.png b/Performance-Estimation/Nested-CrossValidation/assets/nested.png new file mode 100644 index 0000000..c8d9823 Binary files /dev/null and b/Performance-Estimation/Nested-CrossValidation/assets/nested.png differ diff --git a/Performance-Estimation/Nested-CrossValidation/sin_noisy_80sample.csv b/Performance-Estimation/Nested-CrossValidation/sin_noisy_80sample.csv new file mode 100644 index 0000000..9e5937f --- /dev/null +++ b/Performance-Estimation/Nested-CrossValidation/sin_noisy_80sample.csv @@ -0,0 +1,81 @@ +x,x^2,x^3,x^4,x^5,x^6,x^7,x^8,noisy_y +-1,1,-1,1,-1,1,-1,1,9.47E-02 +-0.975,0.950625,-0.926859375,0.903687891,-0.881095693,0.859068301,-0.837591593,0.816651804,0.085315925 +-0.95,0.9025,-0.857375,0.81450625,-0.773780938,0.735091891,-0.698337296,0.663420431,-0.217810744 +-0.925,0.855625,-0.791453125,0.732094141,-0.67718708,0.626398049,-0.579418195,0.535961831,-0.216852518 +-0.9,0.81,-0.729,0.6561,-0.59049,0.531441,-0.4782969,0.43046721,0.241125038 +-0.875,0.765625,-0.669921875,0.586181641,-0.512908936,0.448795319,-0.392695904,0.343608916,-0.276597598 +-0.85,0.7225,-0.614125,0.52200625,-0.443705313,0.377149516,-0.320577088,0.272490525,-0.43482938 +-0.825,0.680625,-0.561515625,0.463250391,-0.382181572,0.315299797,-0.260122333,0.214600924,-0.447385008 +-0.8,0.64,-0.512,0.4096,-0.32768,0.262144,-0.2097152,0.16777216,-0.892179357 +-0.775,0.600625,-0.465484375,0.360750391,-0.279581553,0.216675703,-0.16792367,0.130140844,-0.94949321 +-0.75,0.5625,-0.421875,0.31640625,-0.237304688,0.177978516,-0.133483887,0.100112915,-0.872879277 +-0.725,0.525625,-0.381078125,0.276281641,-0.200304189,0.145220537,-0.10528489,0.076331545,-0.840621157 +-0.7,0.49,-0.343,0.2401,-0.16807,0.117649,-0.0823543,0.05764801,-1.02369268 +-0.675,0.455625,-0.307546875,0.207594141,-0.140126045,0.09458508,-0.063844929,0.043095327,-0.71621557 +-0.65,0.4225,-0.274625,0.17850625,-0.116029063,0.075418891,-0.049022279,0.031864481,-0.603624075 +-0.625,0.390625,-0.244140625,0.152587891,-0.095367432,0.059604645,-0.037252903,0.023283064,-1.291658542 +-0.6,0.36,-0.216,0.1296,-0.07776,0.046656,-0.0279936,0.01679616,-0.48159965 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+-0.325,0.105625,-0.034328125,0.011156641,-0.003625908,0.00117842,-0.000382987,0.000124471,-0.842357763 +-0.3,0.09,-0.027,0.0081,-0.00243,0.000729,-0.0002187,0.00006561,-0.862768302 +-0.275,0.075625,-0.020796875,0.005719141,-0.001572764,0.00043251,-0.00011894,3.27E-05,-1.004939807 +-0.25,0.0625,-0.015625,0.00390625,-0.000976563,0.000244141,-6.10E-05,1.53E-05,-0.749409855 +-0.225,0.050625,-0.011390625,0.002562891,-0.00057665,0.000129746,-2.92E-05,6.57E-06,-1.228917422 +-0.2,0.04,-0.008,0.0016,-0.00032,0.000064,-0.0000128,0.00000256,-0.027554676 +-0.175,0.030625,-0.005359375,0.000937891,-0.000164131,2.87E-05,-5.03E-06,8.80E-07,-0.583735182 +-0.15,0.0225,-0.003375,0.00050625,-7.59E-05,1.14E-05,-1.71E-06,2.56E-07,-0.666022299 +-0.125,0.015625,-0.001953125,0.000244141,-3.05E-05,3.81E-06,-4.77E-07,5.96E-08,-0.630671286 +-0.1,0.01,-0.001,0.0001,-0.00001,0.000001,-0.0000001,0.00000001,-0.521238687 +-0.075,0.005625,-0.000421875,3.16E-05,-2.37E-06,1.78E-07,-1.33E-08,1.00E-09,-0.396522381 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a senior year, 2567. - [Linear Regression](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Linear-Regression) - [Performance Estimation](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Performance-Estimation) - [Experiments with Python](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Performance-Estimation/Experiments-python) - - [Nested Cross Validation](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Performance-Estimation/Nested_CV) + - [Nested Cross Validation](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Performance-Estimation/Nested-CrossValidation) - [Generalization](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Generalization) - [Constant Model](https://github.com/Kariusdi/Machine-Learning-Class/tree/main/Generalization/ConstantModel) - [Linear Model](https://github.com/Kariusdi/Machine-Learning-Class/tree/main/Generalization/LinearModel) - [Linear Origin Model](https://github.com/Kariusdi/Machine-Learning-Class/tree/main/Generalization/LinearOriginModel) - [Learning Curve](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/LearningCurve) - +- [Regularization](https://github.com/Kariusdi/Machine-Learning-Class67/tree/main/Regularization) diff --git a/Regularization/README.md b/Regularization/README.md new file mode 100644 index 0000000..274cd25 --- /dev/null +++ b/Regularization/README.md @@ -0,0 +1,97 @@ +# Regularization 🦺 + +### Why Regularization? + +In linear regression, the goal is to find the best-fitting line (or hyperplane in higher dimensions) through the data. However, if the model is too complex (e.g., using too many features or having excessively large weights), it may fit the training data very well but perform poorly on new data due to overfitting. Regularization helps address this issue by constraining or penalizing the complexity of the model by **_increasing bias_** a bit for **_decreasing variance_**. Which make the model isn't overfitting and it gets a better performance. + +> Example of **_increasing bias_** a bit for **_decreasing variance_** + +![comparison](./assets/compare.png) +
+ +## Need to know for this section 👨🏽‍💻 + +### Types of Regularization + +1. **Ridge Regression (L2 Regularization):** + + **_Defination_** + + Ridge regression shrinks the coefficients towards zero but does not necessarily set them to zero. This leads to a model where all features are included, but their effects are reduced, making the model simpler and more robust. + + **_Penalty Term_** + + The penalty term **_λ _ ∑ w_j^2\*** is the sum of the squares of the model coefficients. This term discourages large coefficients by adding their squared values to the loss function. + + **_Loss function Form_**: + + ```math + Loss = MSE + λ * ∑ w_j^2 + ``` + + **_Machine Learning Components for Linear Regression_** + + ![ridge components](./assets/ridge.png) +
+ + ![gradient ridge](./assets/gradientRidge.png) +
+ + ![normal ridge](./assets/normalRidge.png) +
+ + > we have to define identity metrix for normal equation as the last fig + +2. **Lasso Regression (L1 Regularization):** + + **_Definition_** + + Lasso regression encourages sparsity in the model by driving some coefficients exactly to zero, effectively selecting a subset of features. This can simplify the model and aid in feature selection. + + **_Penalty Term_** + + The penalty term λ ∑ | w_j | is the sum of the absolute values of the model coefficients. This term discourages large coefficients by adding their absolute values to the loss function. + + **_Loss function Form:_** + + ```math + Loss = MSE + λ * ∑ |w_j| + ``` + +3. **Elastic Net Regression:** + + **_Definition_** + + Elastic Net regression combines both Ridge and Lasso regression. It provides a balance between Lasso and Ridge regression by including both sparsity (feature selection) and coefficient shrinkage. This can be particularly useful when dealing with highly correlated features. + + **_Penalty Term_** + + The penalty term λ_1 ∑ |w_j| + λ_2 ∑ w_j^2 is a combination of the L1 and L2 penalties. This term balances between encouraging sparsity (L1) and shrinking coefficients (L2). + + **_Loss function Form:_** + + ```math + Loss = MSE + λ_1 * ∑ |w_j| + λ * ∑ w_j^2 + ``` + +### How It Works? + +- **_Loss Function:_** Regularization modifies the loss function (e.g., Mean Squared Error) by adding a penalty term. This term discourages overly large weights or a large number of non-zero weights. + +- **_Regularization Parameter (λ):_** Controls the strength of the penalty. A higher 𝜆 increases the penalty, leading to more regularization, and a lower λ decreases the penalty, making the model closer to a regular linear regression. + +### Benefits of Regularization + +1. Reduces Overfitting: By penalizing large coefficients, regularization helps the model generalize better to new data. + Feature Selection: L1 regularization can help in feature selection by shrinking some coefficients to zero. + +2. Improves Stability: Helps in making the model more stable and robust, especially when dealing with multicollinearity (highly correlated features). + +### Summary 💼 + +In summary, regularization helps control model complexity, improves generalization, and enhances the performance of linear regression models by adding a penalty for large coefficients. + +> Please follow this link, it's very helpful. + +https://youtu.be/Xm2C_gTAl8c?si=kVIxoW-fcGWpWEi3 +https://www.youtube.com/watch?v=Q81RR3yKn30 diff --git a/Regularization/assets/compare.png b/Regularization/assets/compare.png new file mode 100644 index 0000000..f4af8af Binary files /dev/null and b/Regularization/assets/compare.png differ diff --git a/Regularization/assets/gradientRidge.png b/Regularization/assets/gradientRidge.png new file mode 100644 index 0000000..e47490f Binary files /dev/null and b/Regularization/assets/gradientRidge.png differ diff --git a/Regularization/assets/normalRidge.png b/Regularization/assets/normalRidge.png new file mode 100644 index 0000000..cb8bb9b Binary files /dev/null and b/Regularization/assets/normalRidge.png differ diff --git a/Regularization/assets/ridge.png b/Regularization/assets/ridge.png new file mode 100644 index 0000000..fdd38a2 Binary files /dev/null and b/Regularization/assets/ridge.png differ diff --git a/Regularization/assets/visualize.png b/Regularization/assets/visualize.png new file mode 100644 index 0000000..4107892 Binary files /dev/null and b/Regularization/assets/visualize.png differ diff --git a/Regularization/usingLibs/Ridge&Lasso.ipynb b/Regularization/playground/Ridge&Lasso.ipynb similarity index 99% rename from Regularization/usingLibs/Ridge&Lasso.ipynb rename to Regularization/playground/Ridge&Lasso.ipynb index 312e3bd..b193d75 100644 --- a/Regularization/usingLibs/Ridge&Lasso.ipynb +++ b/Regularization/playground/Ridge&Lasso.ipynb @@ -26,7 +26,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -62,17 +62,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\Python312\\Lib\\site-packages\\sklearn\\base.py:1473: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator\n", + "c:\\Users\\supakron\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\base.py:1152: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator\n", " return fit_method(estimator, *args, **kwargs)\n", - "c:\\Python312\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:697: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.\n", + "c:\\Users\\supakron\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:628: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged.\n", " model = cd_fast.enet_coordinate_descent(\n", - "c:\\Python312\\Lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e+01, tolerance: 3.496e-02 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", + "c:\\Users\\supakron\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\linear_model\\_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e+01, tolerance: 3.496e-02 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.\n", " model = cd_fast.enet_coordinate_descent(\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -117,7 +117,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -149,7 +149,7 @@ "outputs": [ { "data": { - "image/png": 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s7GBpaYk7d+5Uu85XX30Vp06dQlpaGoKDg/Haa68hIiICI0eORH5+vub8Tk5OZYYOt2/fvtrnBYBff/0Vbm5umvuhmzRpggMHDiAjI6PMtq1atSr1+vr16xBFEf/+97/RpEmTUj8lw4RLJtO7c+cO2rZtW+aYVa3/f//7H0JCQrB9+3b07NlTM+lfiZLwOnny5DI1/fzzzygoKNBc29dff41Lly7B3t4e3bt3x5IlS575x5s7d+6gadOmZQLl87bD/v370bNnTxgaGsLa2hpNmjTBunXrym2HJ33yySdIT09Hu3bt4OrqigULFuDixYvPPF98fHyZ92fHjh04ffp0meWVGa6cm5uL3377DWPHjoW3tzc6dOiA33///Zn7DRkypNwZ0Kv71ASZTIbZs2fjwoULePjwIfbs2YNhw4bh6NGjpW5j+aeS72957dihQ4cy32+ZTFZmsrR27doB+PuWjWvXriEjIwM2NjZl3tPs7OznmmhS/Me985WlUqmwYsUKtG3bFgYGBmjcuDGaNGmCixcvlvqsffjhhzA1NUX37t3Rtm1bzJ49u8zn4Fnfn6q+pyXXVd3bI4iIKoOzxxMRPSd9fX1069YN3bp1Q7t27TB16lTs3LkTixcvrvAXueLi4gqPV14YqOgRSZX9Jbg2f6E0NzfHkCFDMGTIECgUCvz66684e/Ys+vXrV6XjPO29evL6t27diilTpsDPzw8LFiyAjY2N5t7Tf07sBpTuDQag6bF+//33K3w81z//yPG8+vbtq/mjy8iRI+Hq6ooJEybgwoULkMlkmpq++eYbuLu7l3uMksA9btw49OnTB7t370ZwcDC++eYbfPXVV9i1axeGDRv23LUKglDu5+qfn9lTp05h1KhR6Nu3L3744Qc0bdoUCoUCmzZtKjXxV3n69u2LGzduYM+ePQgODsbPP/+MFStW4Mcffyw10uSf7OzsykxW98033yAxMbHMxIwlveBPs337dmRkZGD27NkA1PNJfPLJJ7h79y5atGjxzP2Bv8NuTWnUqBFGjRqFUaNGoX///jhx4gTu3Lmjufe9tqlUKtjY2GDbtm3lrn9y1EplWVtbQxCEak9k9/nnn+Pf//433njjDSxbtgzW1taQyWSYN29eqUkhO3bsiLi4OOzfvx8HDx7E//73P/zwww9YtGgRli5dCqB2vj9paWll/qhKRFSTGNqJiGpQ165dAQAPHjwA8PdEY/+cvOh5erirwsHBASqVCteuXUPHjh01y5OSkpCenl7jQaBr16749ddfNdfv4OCAS5culemJiouLK7OvlZVVubOZ37lzp1Tv4B9//IHWrVtj165dpY75z8m0KlJyLIVCoZn5uSIODg7lDuEur/7KMjU1xeLFizF16lT897//xfjx4zUzapubmz+zJgBo2rQp3n77bbz99ttITk6Gp6cnPvvsswpDh4ODA44cOYLs7OxSve0VtUN5Pff//Mz+73//g6GhIQ4dOgQDAwPN8k2bNj2zfkAd5KZOnYqpU6ciOzsbffv2xZIlS54a2g0NDcu8P1u3bkVBQUGl3rd/WrduHdzc3PDCCy8AUIf2pUuXYufOnZg/f36Vj1fTunbtihMnTuDBgwflfldLlsXFxWHgwIGl1sXFxZXZR6VS4ebNm5redQC4evUqAGieDNCmTRscPnwYvXv3LvMHr+rS09NDmzZtcOvWrWrt/8cff2DAgAHYuHFjqeXp6ellwrKJiQleeeUVvPLKKygsLMSLL76Izz77DAsXLtQMd3/a96eq7ymgfgJAZf5IRERUXRweT0RUDceOHSu3N7LkHvKSoZXm5uZo3LhxmVnef/jhh9ovEsDw4cMBqJ/3/KTly5cDUN+nWVW5ubkIDQ0td11QUBCAv69/+PDhuH//fqn7hHNzc8s8jxpQh4UzZ86gsLBQs2z//v1ISEgotV1Jr/uT7//Zs2crrOmfbGxs0L9/f/z000+aPy486cnnYg8fPhxnzpwpNXt7SkpKhb2QlTVhwgS0aNECX331FQCgS5cuaNOmDb799ltkZ2dXWFNxcXGZoec2NjZo1qxZqUf4/dPw4cNRVFSEdevWaZYVFxdj9erVZbZt06YNrly5Uup9iIqKKjPMWC6XQxCEUj3wt2/fRkBAwFOuXO3Ro0elXpuamsLJyemp11DTwsLCEB4erullB9Q9ta6urpUaIl9TEhMTy72dprCwEEeOHCn39pYSXbt2hY2NDX788cdS711QUBAuX75c7vd7zZo1mv8WRRFr1qyBQqHAoEGDAKh7oouLi7Fs2bIy+xYVFZX7h7XK8PLywvnz56u1r1wuL/Pv7c6dO8vc7//Pz5W+vj6cnZ0hiiKUSmWlvj9VfU8zMjJw48YN9OrVq1rXRkRUGexpJyKqhrlz5yI3NxdjxoxBhw4dUFhYiNOnT+P333+Ho6Mjpk6dqtn2zTffxJdffok333wTXbt2xcmTJzW9W7Wtc+fOmDx5MtavX4/09HT069cPYWFh+PXXX+Hn54cBAwZU+Zi5ubno1asXevbsiaFDh8Le3h7p6ekICAjAqVOn4OfnBw8PDwDA9OnTsWbNGkyaNAkXLlxA06ZNsWXLFs0EbE9688038ccff2Do0KEYN24cbty4ga1bt5Z5rvOIESOwa9cujBkzBr6+vrh16xZ+/PFHODs7lxt4y7N27Vq88MILcHV1xfTp09G6dWskJSUhNDQUd+/e1Tz/+YMPPsCWLVswdOhQvPvuuzAxMcH69evh4OBQqXuwK6JQKPDuu+9iwYIFOHjwIIYOHYqff/4Zw4YNg4uLC6ZOnYrmzZvj3r17OHbsGMzNzbFv3z5kZWWhRYsWeOmll9C5c2eYmpri8OHDOHfuXJnh4U8aOXIkevfujf/7v//D7du34ezsjF27dpV77/kbb7yB5cuXw8fHB9OmTUNycjJ+/PFHuLi4IDMzU7Odr68vli9fjqFDh+K1115DcnIy1q5dCycnp2e+N87Ozujfvz+6dOkCa2trnD9/Hn/88UepSdJq27p162BhYVFmUsFXXnkFH3/8MeLj48vML1Eb7t69i+7du2PgwIEYNGgQ7OzskJycjP/85z+IiorCvHnzKhx6rVAo8NVXX2Hq1Kno168fXn31VSQlJWHVqlVwdHQsM1rA0NAQBw8exOTJk9GjRw8EBQXhwIED+OijjzTD3vv164e33noLX3zxBSIjI+Ht7Q2FQoFr165h586dWLVqVamJJSur5JGDV69eLdXTX2L58uVl/l2QyWT46KOPMGLECHzyySeYOnUqevXqhejoaGzbtq3M/fne3t6ws7ND7969YWtri8uXL2PNmjXw9fWFmZkZ0tPTn/n9qep7evjwYc0jFYmIao0UU9YTEem6oKAg8Y033hA7dOggmpqaivr6+qKTk5M4d+5cMSkpqdS2ubm54rRp00QLCwvRzMxMHDdunJicnFzhI9/++eijih7F1q9fv2c+3kgU1Y9bWrp0qdiqVStRoVCI9vb24sKFC0s97uxp5ynveBs2bBD9/PxEBwcH0cDAQDQ2NhY9PDzEb775pszj2O7cuSOOGjVKNDY2Fhs3biy+++67msdHPfnIN1EUxe+++05s3ry5aGBgIPbu3Vs8f/58mUeQqVQq8fPPP9ec28PDQ9y/f3+ZR5KVPPLtm2++Kfc6bty4IU6aNEm0s7MTFQqF2Lx5c3HEiBHiH3/8UWq7ixcviv369RMNDQ3F5s2bi8uWLRM3btxYpUe+lfc4q4yMDNHCwqLUtUVERIgvvvii2KhRI9HAwEB0cHAQx40bJx45ckQURVEsKCgQFyxYIHbu3Fk0MzMTTUxMxM6dO4s//PBDqWOX93i2R48eia+//rpobm4uWlhYiK+//roYERFR7iMJt27dKrZu3VrU19cX3d3dxUOHDpV7zI0bN4pt27YVDQwMxA4dOoibNm3SXPOT/vnIt08//VTs3r27aGlpKRoZGYkdOnQQP/vsszKPTKyM6jzyLTU1VTQyMhLfeeedMuuuXbv21M/N8/rnI98yMzPFVatWiT4+PmKLFi1EhUIhmpmZiV5eXuKGDRtKPQLwn498K/H777+LHh4eooGBgWhtbS1OmDBBvHv3bqltSr7fN27cEL29vUVjY2PR1tZWXLx4cZnHqYmiKK5fv17s0qWLaGRkJJqZmYmurq7iBx98IN6/f79MPc/6Hoii+rPbuHFjcdmyZaWWl3xeyvuRy+WiKKof+fbee++JTZs2FY2MjMTevXuLoaGhZf5t+Omnn8S+fftqvj9t2rQRFyxYIGZkZGhqqMz3p7LvqSiK4iuvvCK+8MILz7x+IqLnIYhiNafyJCIiqqbjx49jwIABOHbsGPr37y91OUR1xtHREVOmTMGSJUvq9LxTpkzBH3/8UenRKJVR8j2+deuW5p74p1m2bBk2bdqEa9euVTi5pi5JTExEq1atsGPHDva0E1Gt4j3tRERERFTr5s+fj+zsbOzYsUPqUmrEypUr4erqysBORLWO97QTERERUa0zNTV9rue8a5svv/xS6hKIqIFgTzsRERERERGRluI97URERERERERaij3tRERERERERFqKoZ2IiIiIiIhIS3EiOgAqlQr379+HmZkZBEGQuhwiIiIiIiKq50RRRFZWFpo1awaZrOL+dIZ2APfv34e9vb3UZRAREREREVEDk5CQgBYtWlS4nqEdgJmZGQD1m2Vubi5xNRVTKpUIDg6Gt7c3FAqF1OVQBdhO2o9tpBvYTrqB7aT92Ea6ge2kG9hO2k+X2igzMxP29vaaPFoRhnZAMyTe3Nxc60O7sbExzM3Ntf4D2JCxnbQf20g3sJ10A9tJ+7GNdAPbSTewnbSfLrbRs27R5kR0RERERERERFqKoZ2IiIiIiIhISzG0ExEREREREWkphnYiIiIiIiIiLcXQTkRERERERKSlGNqJiIiIiIiItBRDOxEREREREZGWYmgnIiIiIiIi0lIM7URERERERERaiqGdiIiIiIiISEsxtBMRERERERFpKYZ2IiIiIiIiIi3F0E5ERERERESkpRjaiYiIiIiIiLQUQzsRERERERGRlmJoJyIiIiIiItJSWhPav/zySwiCgHnz5mmW5efnY/bs2WjUqBFMTU0xduxYJCUlldovPj4evr6+MDY2ho2NDRYsWICioqI6rr5u3AhPQUGa1jQZERERERER1TKtSIDnzp3DTz/9BDc3t1LL58+fj3379mHnzp04ceIE7t+/jxdffFGzvri4GL6+vigsLMTp06fx66+/YvPmzVi0aFFdX0KtS7iciqObr+DhOWMk3syQuhwiIiIiIiKqA5KH9uzsbEyYMAEbNmyAlZWVZnlGRgY2btyI5cuXY+DAgejSpQs2bdqE06dP48yZMwCA4OBgxMbGYuvWrXB3d8ewYcOwbNkyrF27FoWFhVJdUq2wa2OBZm0tIRYLCFx7Cfevp0tdEhERERERkVZRFhQjO14BURSlLqXG6EldwOzZs+Hr64vBgwfj008/1Sy/cOEClEolBg8erFnWoUMHtGzZEqGhoejZsydCQ0Ph6uoKW1tbzTY+Pj6YNWsWYmJi4OHhUe45CwoKUFBQoHmdmZkJAFAqlVAqlTV9iTVDAAa+0Rb//SYUBY/0sO/7SAyb1QlNnSykroz+oeQzpLWfJWIb6Qi2k25gO2k/tpFuYDvpBraTdlMWFCNoXTTSbxgibN8t9BjVWuqSnqqynyNJQ/uOHTsQHh6Oc+fOlVmXmJgIfX19WFpallpua2uLxMREzTZPBvaS9SXrKvLFF19g6dKlZZYHBwfD2Ni4qpdRpxp3AR5eMELBIz3sXxOFxl3zYGBdLHVZVI6QkBCpS6BnYBvpBraTbmA7aT+2kW5gO+kGtpP2URUBD88boTBND4KeiPtZVxEYeEXqsp4qNze3UttJFtoTEhLw7rvvIiQkBIaGhnV67oULF8Lf31/zOjMzE/b29vD29oa5uXmd1lIVSqUSISEhGLegF45uvop7V9KRFmHKHnctU9JOQ4YMgUKhkLocKgfbSDewnXQD20n7sY10A9tJN7CdtFNhfhGC1sWgMC0TCkM5LD0yMeLlQVrfRiUjvp9FstB+4cIFJCcnw9PTU7OsuLgYJ0+exJo1a3Do0CEUFhYiPT29VG97UlIS7OzsAAB2dnYICwsrddyS2eVLtimPgYEBDAwMyixXKBRa37AAYGRigBFvd0bQj9GIj01F0LpLGDGnM5q3s3r2zlRndOXz1JCxjXQD20k3sJ20H9tIN7CddAPbSXsU5hXh4LpYJN3MhL6RHobP7oTzMad0oo0qW59kE9ENGjQI0dHRiIyM1Px07doVEyZM0Py3QqHAkSNHNPvExcUhPj4eXl5eAAAvLy9ER0cjOTlZs01ISAjMzc3h7Oxc59dUl/T05Rg2yxUtna1RVKjC/jVRuBeXJnVZREREREREdaIgrwh7v49E4s0MGBjrYfQ8d9g4mEldVo2TrKfdzMwMnTp1KrXMxMQEjRo10iyfNm0a/P39YW1tDXNzc8ydOxdeXl7o2bMnAMDb2xvOzs54/fXX8fXXXyMxMREff/wxZs+eXW5Pen2jp1AH96AfoxEfk4r9a6LgO6czWrRnjzsREREREdVfBblK7P0+Csm3Mx8Hdg80aWlWLycJlPyRb0+zYsUKjBgxAmPHjkXfvn1hZ2eHXbt2adbL5XLs378fcrkcXl5emDhxIiZNmoRPPvlEwqrrlp5CjmEzXdHSpRGKlCocWBOFu1dSpS6LiIiIiIioVhTkKrF3VaQ6sJv8HdjrK8kf+fak48ePl3ptaGiItWvXYu3atRXu4+DggMDAwFquTLupg3snHPzpEu5ceoQDay9i+Gw32Hewlro0IiIiIiKiGpOfow7sKfFZMDRRYPR8dzRuUX8DO6DlPe1UeXoKOYa95QoH18c97msvIoE97kREREREVE+UCuymCoye71HvAzvA0F6vyBUyDJvhCkfXRiguCe6XGdyJiIiIiEi35WcrsWdlBFLis2BkpoDffA80bmEqdVl1gqG9npErZBg6wxWObo3Vwf2Hi4iPfSR1WURERERERNWSl12IgJUReJiQDSMzdQ97o+YNI7ADDO31klwhw9DpnTTBPfCHaAZ3IiIiIiLSOXlZhdizIgKP7mbDyFwffvM90ahZwwnsAEN7vaXucX8c3IseB/cYBnciIiIiItINuZmFCFgRgUf3cmBsro8x/h6wbmYidVl1jqG9HpPrqYN7q86Pg/u6aNxhcCciIiIiIi1XEthT7+fA2EIffv4esLJreIEdYGiv9+R6MvhM74TW7k1QXKRC0Lpo3LnE4E5ERERERNopJ6MAAcvDkfYgByaWBhjj79lgAzvA0N4gyPVk8J7uognugT9exO3oh1KXRUREREREVIo6sEcgLTEXplYG8PP3gKWtsdRlSYqhvYGQyx8Hd48mUBWJCPopmsGdiIiIiIi0Rk66OrCnJz0R2G0admAHGNobFLlcBu83XdDmyeB+kcGdiIiIiIiklZ2Wj93fhSM9KRdm1oYY854nLJowsAMM7Q2OXC7DkDdd0MbTRhPcbzG4ExERERGRRLJS87F7eQQyUvJg1sgQfv4eMG9sJHVZWoOhvQGSy2UYMs1ZHdyLRRz8KRq3olKkLouIiIiIiBqYrNR8BCwPR2ZKHswbM7CXh6G9gZLLZfCe5gynro+D+/pLuBnJ4E5ERERERHUj81GeOrA/zH8c2D1h3oiB/Z8Y2hswmVyGIVOd0fZxcD/E4E5ERERERHUg82EeApZHqAN7EyOMec8TZtaGUpellRjaGziZXIbBU53RtpstVKrHwT2CwZ2IiIiIiGpH5sM87F4ejqxH+bCwMcIYf0+YWjGwV4ShndTBfUrHv4P7hku4EZ4sdVlERERERFTPZKTkYvd34chOLYClrfHjwG4gdVlajaGdAPzd496ux+Pg/nMMgzsREREREdWY9ORcBCyPQHZaAazsjOHn7wETSwb2Z2FoJw2ZTMCgyc5o38MO4uPgfv0CgzsRERERET2f9KTSgX30fA+YWDCwV4ae1AWQdpHJBAyc3BEQgLgziQjeGAMAcOpiI3FlRERERESki9IScxCwIgK5GYWwamoCv/keMDbXl7osncHQTmXIZAIGTuoIAcCVx8FdFEW07WordWlERERERKRD0hJzELA8ArmZhbBuZoLR8xjYq4qhncolkwkYMEnd434lNBEhv8QCAIM7ERERERFVSuoDdQ97XmYhGjU3xeh57jAyY2CvKoZ2qpBMJmDA6x0BQcCV0w8QsjEGEIG23RjciYiIiIioYo/uZ2PPigjkZSnRqMXjwG7KwF4dDO30VDKZgIETO0AAcPn0A4T8EgMRItp1s5O6NCIiIiIi0kKP7mVjz0p1YG9sb4rR73rA0FQhdVk6i6GdnkmQCRgwsQMgAJf/eoDDv8QCItCuO4M7ERERERH97eFddWDPz1aiSUszjHrXHYYmDOzPg6GdKkWQCRgwQd3jHvvXAxzeFAtRBNr3YHAnIiIiIiLg4d0s7FkRifwcJWwczDDyHQb2msDQTpUmyAT0n9ABEATE/nkfRzarJ6djcCciIiIiathSErKwZ2UECnKKYOOg7mE3MGZgrwkM7VQlgkxA/9faAwIQe+o+Dm+OBUQR7Xs2lbo0IiIiIiKSQEr848CeWwTbVuYY+Y47DIwYNWsK30mqMkEmoP+r7SEAiDl1H4d/vQxRBDp4MbgTERERETUkyXcysXdVJAN7LeK7SdUiyAT0e7U9BEHApZP3cOQ3dXDv2IvBnYiIiIioIUi6lYm930eiMK8Idq0tMHJuZ+gzsNc4vqNUbYJMQN9X2wEALp28h6NbLgMQ0bFXM2kLIyIiIiKiWpV4KwP7VkWiML8YTZ0sMGJOZ+gbMl7WBr6r9FwEQR3cBQGIPnEPR7dcgSgCzr0Z3ImIiIiI6qPEmxnY+30klPnFaNbWEr6z3RjYaxHfWXpugiCgz/h2gCAg+vhdHNtyBQCDOxERERFRffPgejr2rY6CsqAYzdtZwnd2ZygM5FKXVa8xtFONEAQBfV5pCwhA9LHHwV0EnF9gcCciIiIiqg/uX0/H/pLA3t4KvrPdoNBnYK9tMqkLoPpDEAT0GdcWbgNbAACObb2CmFP3JK6KiIiIiIie1/1raZoe9hYdGNjrEnvaqUYJgoAXXm4LAQKijibg+LY4AIBLn+YSV0ZERERERNVxLy4N+9dGoahQBfuOVhg+yw16DOx1hqGdapwgCOj9shMgAFFH1MFdFIFOfRnciYiIiIh0yd0rqTiw9iKKlCq0dLbGsJmuDOx1jKGdaoUgCOj90uPgfjgBJ7bHAaKITv1aSF0aERERERFVQsLlVBz44SKKlSo4dGqEoW91gp6Cgb2uMbRTrREEAb3HOkEAEHk4ASf+cxWiCLj2Z3AnIiIiItJm8bGPELguWh3YXRth2AxXyBWcEk0KDO1UqwRBQK+xThAEAREh8Ti54yoABnciIiIiIm11J+YRgtZFo7hIBUe3xhg6vRMDu4QY2qnWCYIArxfbAAIQEawO7qIIuA1gcCciIiIi0ia3ox8i6KdoqIpEtOrcGD7TO0Gux8AuJb77VCcEQYDXmDbw9GkJADj1+1VEHU2QuCoiIiIiIipx++Lfgb21exMGdi0haQusW7cObm5uMDc3h7m5Oby8vBAUFKRZ379/fwiCUOpn5syZpY4RHx8PX19fGBsbw8bGBgsWLEBRUVFdXwpVgiAI6OnXBp5DHQAAf/73GqKOMLgTEREREUntVlSKJrC38WwC7+kuDOxaQtLh8S1atMCXX36Jtm3bQhRF/Prrrxg9ejQiIiLg4uICAJg+fTo++eQTzT7Gxsaa/y4uLoavry/s7Oxw+vRpPHjwAJMmTYJCocDnn39e59dDzyYIAnqObg0BwIWDd/DnzmsAgM6D7KUtjIiIiIiogboZmYJDGy5BVSzCqYsNBr/hDLmcgV1bSBraR44cWer1Z599hnXr1uHMmTOa0G5sbAw7O7ty9w8ODkZsbCwOHz4MW1tbuLu7Y9myZfjwww+xZMkS6Ovr1/o1UNUJgoAeo1sDAnAhSB3cRVGE++CWUpdGRERERNSg3AhPRvDPMVCpRLTtaoPBU50hY2DXKlozEV1xcTF27tyJnJwceHl5aZZv27YNW7duhZ2dHUaOHIl///vfmt720NBQuLq6wtbWVrO9j48PZs2ahZiYGHh4eJR7roKCAhQUFGheZ2ZmAgCUSiWUSmVtXF6NKKlNm2usCs9h9hBFFcIPJuCvP66juKgYboN0f3K6+tZO9RHbSDewnXQD20n7sY10A9tJN9S3droZkYIjm69AVAFtujRBv4ntUKwqRrGqWOrSqk2X2qiyNQqiKIq1XMtTRUdHw8vLC/n5+TA1NcX27dsxfPhwAMD69evh4OCAZs2a4eLFi/jwww/RvXt37Nq1CwAwY8YM3LlzB4cOHdIcLzc3FyYmJggMDMSwYcPKPeeSJUuwdOnSMsu3b99eavg91T5RBDKv6yPrugEAwKJ9Psxaa/8XjIiIiIhIl+U+0ENqlCEgCjBupoSVWz4EQeqqGpbc3Fy89tpryMjIgLm5eYXbSd7T3r59e0RGRiIjIwN//PEHJk+ejBMnTsDZ2RkzZszQbOfq6oqmTZti0KBBuHHjBtq0aVPtcy5cuBD+/v6a15mZmbC3t4e3t/dT3yypKZVKhISEYMiQIVAoFFKXU6POB95BeFA8MuIM0b5DB7gP1t173OtzO9UXbCPdwHbSDWwn7cc20g1sJ91QX9rp+vlkHDsYB4hAu+426DuhHWSy+pHYdamNSkZ8P4vkoV1fXx9OTk4AgC5duuDcuXNYtWoVfvrppzLb9ujRAwBw/fp1tGnTBnZ2dggLCyu1TVJSEgBUeB88ABgYGMDAwKDMcoVCofUNC+hOnVXhNdoJcrkc5/bfQtie25DL5PD0cZC6rOdSH9upvmEb6Qa2k25gO2k/tpFuYDvpBl1up7iziTj2WxxEEejQqykGTOxQbwL7k3ShjSpbn9bNMKBSqUrdb/6kyMhIAEDTpk0BAF5eXoiOjkZycrJmm5CQEJibm8PZ2bnWa6Wa1X1EK3Qf2QoAELr7Bi4cvC1tQURERERE9UjcmQc4sjkWogg4926KgfU0sNc3kva0L1y4EMOGDUPLli2RlZWF7du34/jx4zh06BBu3Lihub+9UaNGuHjxIubPn4++ffvCzc0NAODt7Q1nZ2e8/vrr+Prrr5GYmIiPP/4Ys2fPLrcnnbRfN191aA/bdwtnAm5CFIGuwxylLYqIiIiISMddCX2AI79dBkTAuU8z9H+1PQQGdp0gaWhPTk7GpEmT8ODBA1hYWMDNzQ2HDh3CkCFDkJCQgMOHD2PlypXIycmBvb09xo4di48//lizv1wux/79+zFr1ix4eXnBxMQEkydPLvVcd9I93XxbQRCAs3tv4eyem4AIdB3uKHVZREREREQ6Kfav+zi29QogAp36Nkff8e0Y2HWIpKF948aNFa6zt7fHiRMnnnkMBwcHBAYG1mRZpAW6Dm8FCALO7rmJs3tvQhRFTS88ERERERFVzpOB3bVfc/QZ3w4Cp4nXKZJPREdUka7DHCEIwJmAmwjbdwsAGNyJiIiIiCop5tQ9HN8WBwBwHdACfca1ZWDXQQztpNW6DHWEIAgI3X0DYftuQRTVE9YREREREVHFLp24ixP/uQoA6DzQHr1fdmJg11EM7aT1Sh79Frr7Bs7tvwWIIrqPbC1xVURERERE2in6+F2c3PE4sA+2R++xDOy6jKGddIKnjwMEQcDpXddx7sBtiFD3uPMfHyIiIiKiv108loBTv18DAHgMaQmvF9vwd2Ydx9BOOsPDuyUgAKf/dx3nD9wGRKD7SAZ3IiIiIiIAiDqSgD93qgO7p48Devq15u/K9YBM6gKIqsJjSEv0fskJAHA+8LZmZnkiIiIiooYs8nC8JrB3GcrAXp+wp510jvvglhAEAX/uvIYLQXcgikDP0fxHiYiIiIgapvDgOwjddQMA0HW4I0ej1jMM7aSTOg+yBwTgz/9eQ/jBO4AI/jWRiIiIiBqc8EN3ELpbHdi7+TpywuZ6iKGddFbngfYQBODU79cQfugOABE9/TjRBhERERE1DOeDbuPsnpsA1HM9dfPlo5HrI4Z20mluA+wBCDj1+1WEH4qHKAJeYxjciYiIiKh+O3fgFsL23QIA9BjVGl2HO0pbENUahnbSeW4DWkAQgJM7riIiWB3ce/HRFkRERERUT4Xtv4Vz+9WBvadfa3QZ6ihtQVSrGNqpXnDt3wKAOrhHhsQDooheY50Y3ImIiIio3hBFEWH7b6kffwz1CFNPHwdpi6Jax9BO9YZrf3WP+4n/XEXk4QSIAHozuBMRERFRPSCKIs7uvYkLQXcAAL1edIKHd0uJq6K6wNBO9Uqnfi0AQcCJ7XGIOpwAqIDeLzO4ExEREZHuEkURZwJuPp58Gej9khPcBzOwNxQM7VTvdOrbHIIAHN8Wh6ijCRAh4oWX2zK4ExEREZHOEUURobtvICI4HgDwwstt1Y8/pgaDoZ3qJZc+zQGog/vFo3cBEXhhHIM7EREREekOURRx+n/XEXk4AQDQ55V2cBvQQuKqqK7JpC6AqLa49GmOARM7AAAuHruLU/+9BlEUJa6KiIiIiOjZRFHEX3/8Hdj7jmdgb6jY0071mvMLzQABOLb1CqKP3QVUIvqMb8cedyIiIiLSWqIo4s//XsPFY3cBAP1ea49OfZtLXBVJhaGd6j3n3s0APA7uJ+5BhPovlQzuRERERKRtRFHEqR1XEX3iHgCg/4T2mls/qWFiaKcGwbl3MwiCgKNbLuPSiXuA+Di4yxjciYiIiEg7iCoRJ3dcxaWT9wABGDCxg6YDihouhnZqMDr2agpBAI78dhmXTqp73PsxuBMRERGRFhBVIo7/Jw6xp+4DAjDw9Y7o2Kup1GWRFmBopwalg1dTQACO/HoZMSfvQRRF9H+1PYM7EREREUlGVIk4vu0KYv96AAjAoMkd0aEnAzupMbRTg9OhZ1MIAA7/eln9l0wR6P8agzsRERER1T1RJeLY1iu4fPoBBAEYNMUZ7XvYSV0WaRGGdmqQ2vdsCggCjmyOReyf9wFRRP8JHRjciYiIiKjOqFQijv12GVfOJEIQgMFTndGuOwM7lcbQTg1W+x52EATg8KZYxP71AKKonuyDwZ2IiIiIaptKJeLor5cRdzYRgkzAkDec0barrdRlkRZiaKcGrV13O0AADv8Si8unH0AEMJDBnYiIiIhqkapYhcObL+PauSQIMgHe01zg1MVG6rJISzG0U4PXrpsdBAgI+SUGV04/AEQRA17vCBmDOxERERHVMFWxCoc3xeLa+WTIZAK833RBG08GdqoYQzsRgLbdbAEBCPklFldCEyGKwMBJDO5EREREVHOKi1U4/Essrl9QB3af6Z3Q2qOJ1GWRlmNoJ3qsbVdbCIKA4I0xiDuTCIjAwMkM7kRERET0/IqLVQjZGIMb4SmQyQUMndEJrTozsNOzMbQTPaHkXqLgjTGIO5sIESIGTXZmcCciIiKiaisuUiF4YwxuRqRApidg2AxXOLo1lros0hEM7UT/4NTFBoIABP8cg6tnkyCqgMFTOkIml0ldGhERERHpmOIiFQ5tuIRbUQ/Vgf0tVzi6MrBT5TGFEJWjjacNvKe7QCYTcO1cEg5vvgxVsUrqsoiIiIhIhxQrVTi4Xh3Y5XoyDJ/lxsBOVcbQTlSBNh428Jne6e/gvimWwZ2IiIiIKqVYqULQ+mjcvvgQcoUMw992hYNLI6nLIh3E0E70FK09msBnxuPgfj4ZIQzuRERERPQMRcpiBP4YjTvRj6CnkMH3bTe0dGZgp+phaCd6htbuj4O7XMD188kI3hiLYgZ3IiIiIipHUWExgtZFIz7mcWCf7Qb7jtZSl0U6jKGdqBJauzfB0LdcIZMLuBGejJCNMQzuRERERFRKUWExAtddRHxsKvT0ZRgxpzNadGBgp+fD0E5USa3cGmPYW66Q6Qm4EZ6CkJ8Z3ImIiIhITVlYjAM/XETC5TToGcgxcm5nNG9vJXVZVA8wtBNVgeOTwT0iBcEbYlBcxOBORERE1JApC4pxYG0U7l5Jg+JxYG/WloGdagZDO1EVObo2xvCZbpDryXAzMgWHNlxicCciIiJqoArzi7B/TRTuxaVDYSjHyHfc0czJUuqyqB5haCeqBodOjTBslivkejLcinrI4E5ERETUAJUE9vvX0qFvKMeod9zRtI2F1GVRPcPQTlRNDi6NMPyJ4H5wPYM7ERERUUNRmF+E/auj8OB6BvQN5Rj5rjvsWjOwU81jaCd6Di1dGmH4266QK2S4ffFxcFcyuBMRERHVZ4V5Rdj3fRQe3MiAgbEeRs3zgF0rBnaqHZKG9nXr1sHNzQ3m5uYwNzeHl5cXgoKCNOvz8/Mxe/ZsNGrUCKamphg7diySkpJKHSM+Ph6+vr4wNjaGjY0NFixYgKKiorq+FGrAWjo3gu8sN01wD/nlMsRiqasiIiIiotqgUgKBP1xC4s3Hgf1dd9g6mktdFtVjkob2Fi1a4Msvv8SFCxdw/vx5DBw4EKNHj0ZMTAwAYP78+di3bx927tyJEydO4P79+3jxxRc1+xcXF8PX1xeFhYU4ffo0fv31V2zevBmLFi2S6pKogbJ3tobv2+rgHn8pFY8ijNjjTkRERFTPFOQWIeWcMZJvZ8HARA+j53nAxoGBnWqXnpQnHzlyZKnXn332GdatW4czZ86gRYsW2LhxI7Zv346BAwcCADZt2oSOHTvizJkz6NmzJ4KDgxEbG4vDhw/D1tYW7u7uWLZsGT788EMsWbIE+vr65Z63oKAABQUFmteZmZkAAKVSCaVSWUtX+/xKatPmGhsyOyczDH3LGQd/ikV+ih4ObYiB93QX6Cl4F4q24XdJN7CddAPbSfuxjXQD20n7FeQqcWBNNJQZchiY6MF3jissmxqyzbSMLn2XKlujIIqiWMu1VEpxcTF27tyJyZMnIyIiAomJiRg0aBDS0tJgaWmp2c7BwQHz5s3D/PnzsWjRIuzduxeRkZGa9bdu3ULr1q0RHh4ODw+Pcs+1ZMkSLF26tMzy7du3w9jYuKYvjRqY/EdyPDpvBFElwKBxERp75kGQS10VEREREVWXqhBIOWcMZaYcMoUKjbvnQd+coyrp+eTm5uK1115DRkYGzM0rHrEhaU87AERHR8PLywv5+fkwNTXF7t274ezsjMjISOjr65cK7ABga2uLxMREAEBiYiJsbW3LrC9ZV5GFCxfC399f8zozMxP29vbw9vZ+6pslNaVSiZCQEAwZMgQKhULqcqgCSqUS+3AUaRGmKHioB1lCSwyZ7swedy3C75JuYDvpBraT9mMb6Qa2k/bKz3ncw56ZA0NTPVi4Z2D4i4PYTlpKl75LJSO+n0Xy0N6+fXtERkYiIyMDf/zxByZPnowTJ07U6jkNDAxgYGBQZrlCodD6hgV0p86GzLBRMYbNcsHBH2OQcDkNIT9fxvCZrtDTZ5e7NuF3STewnXQD20n7sY10A9tJu+RlF+LAmkt4dDcHRmYK+M51xZmIE2wnHaALbVTZ+iTv+tPX14eTkxO6dOmCL774Ap07d8aqVatgZ2eHwsJCpKenl9o+KSkJdnZ2AAA7O7sys8mXvC7ZhkgqzdpaYsScztDTlyEhNhWB6y6iqJDTyhMRERHpgrysQuxZEYFHd7NhbK4PP39PWDc1kbosaoAkD+3/pFKpUFBQgC5dukChUODIkSOadXFxcYiPj4eXlxcAwMvLC9HR0UhOTtZsExISAnNzczg7O9d57UT/1LydFUbO7Qw9AzkSLqfhwA8XoWRwJyIiItJquZmFCFgRgUf3cmBsoQ8/fw8GdpKMpKF94cKFOHnyJG7fvo3o6GgsXLgQx48fx4QJE2BhYYFp06bB398fx44dw4ULFzB16lR4eXmhZ8+eAABvb284Ozvj9ddfR1RUFA4dOoSPP/4Ys2fPLnf4O5EUmrW1wsg56uB+90oaAhnciYiIiLRWTkYBApaHI/V+Dkws9DHG3xNWdgzsJB1JQ3tycjImTZqE9u3bY9CgQTh37hwOHTqEIUOGAABWrFiBESNGYOzYsejbty/s7Oywa9cuzf5yuRz79++HXC6Hl5cXJk6ciEmTJuGTTz6R6pKIytWsrSVGzu0MxePgfmAtgzsRERGRtsnJKMCeFRFIS8yFiaUB/Pw9YWnLp0uRtCSdiG7jxo1PXW9oaIi1a9di7dq1FW7j4OCAwMDAmi6NqMY1c1IH932ro3AvLg0H1kbB9211kCciIiIiaeWkFyBgRQTSk3JhamUAP38PWDRhYCfpad097UT1WVMnS4x8xx0KQznuxaXjwNooKAvY405EREQkpey0AuxeHq4O7NbqHnYGdtIWDO1EdaxpGwuMKgnuV9Oxf00UCvOLpC6LiIiIqEHKSs3H7uXhyEjOg5m1Icb4e8KiiZHUZRFpMLQTScCutTq46xvKcf8agzsRERGRFLJS8xGwPByZKXkwb2wIv/c8YN6YgZ20C0M7kUTsWltg5Lvq4P7gegaDOxEREVEdynyUpw7sD/PVgd3fE+aNGNhJ+zC0E0nIrpUFRr3rAX0jPXVwX83gTkRERFTbMh/mIeC7CHVgb2KEMe95wszaUOqyiMrF0E4kMdtW5hj1rrs6uN/IwL7vo1CYx+BOREREVBsyUvKwe3k4slLzYWFjhDH+njC1YmAn7cXQTqQFbB3NMXqeOwyM9ZB4MwP7VkcyuBMRERHVsIyUXAQsD0d2agEsbY0fB3YDqcsieiqGdiItYeNgjtHzPB4H90zs/T4SBQzuRERERDUiPSkXu7+LQHZaAazsjOHn7wETSwZ20n4M7URapElLM01wT7qViX0M7kRERETPLS0xBwHLw5GTXgCrpibw8/eEiQUDO+kGhnYiLaMJ7ibq4L53VSQKcpVSl0VERESkk9SBPQI5GYWwbmYCv/keMDbXl7osokpjaCfSQk8G9+TbDO5ERERE1ZF6Pwe7l0cgN7MQjZqbMrCTTmJoJ9JSTezN4DffA4YmCiTfycLeVZHIz2FwJyIiIqqMR/eyEbAiHHmZhWhsb4rR891hZMbATrqHoZ1IizVuYYbR8z1gaMrgTkRERFRZ6sAegbwspTqwz/OAkSkDO+kmhnYiLde4hXool6GpAinxDO5ERERET/PwbhYClkcgP1upueXQ0EQhdVlE1cbQTqQDSu7BMjJTB/c9KyMY3ImIiIj+ISU+CwEr1L8n2TiYYfQ8dwZ20nkM7UQ6olFzU4x+HNwfJmSrg3s2gzsRERERACTfycSelREoyCmCbStzjHrXHQbGDOyk+xjaiXRIo2am8JvvCSNzfTxMyEbAygjkZRdKXRYRERGRpJLvlDxtRx3YR77DwE71B0M7kY4peb6okbk+Ht3Nxp4VkQzuRERE1GAl3crEnpXqwG7X2gKj3nGHgZGe1GUR1RiGdiIdZN3UBGP81c8ZfXQvG3tWRCAvi8GdiIiIGpbEmxnYuyoChXlFaOpkgZHvdIY+AzvVMwztRDrKys4Efv4eMLbQx6N7OQhYEYHcTAZ3IiIiahge3MjA3u8jUZhfjGZtLTFiTmfoGzKwU/3D0E6kw6zs1EPljS30kXo/B3tWMrgTERFR/Xf/ejr2fR8JZX4xmrdnYKf6jaGdSMdZ2ZlgjL8nTB4Hd/a4ExERUX12/1oa9q2OgrKgGM3bW8F3dmcoDORSl0VUaxjaieoBS1tj+Pl7wsTSAGkPchCwPBw5GQVSl0VERERUo+5dVQf2ooJitOhgBd/ZblDoM7BT/cbQTlRPqIO7B0ytDJCWmIs9KyIY3ImIiKjeuBuXhv1rolBUqIK9szV832Zgp4aBoZ2oHrG0KR3cA5YzuBMREZHuS7iSigOPA3tLl0YYPssVegzs1EAwtBPVMxZN1EPlTa0NkJ70OLinM7gTERGRboqPfYQDay+iSKmCg2sjDJ/pCj0FAzs1HAztRPWQRRMjjHkiuO9eHo7sNAZ3IiIi0i13Yh4h8IdoFCtVcHRrjGEzXCFXMMJQw8JPPFE9Zd5YHdzNrA2RkZyHgBUM7kRERKQ7bkc/ROC6iyguUqFV58YYOqMTAzs1SPzUE9Vj5o2N4OfvAbNGj4P78nBkp+VLXRYRERHRU92++BBBP0VDVSSitXsT+EzvBLkeows1TPzkE9VzpYJ7Sh52L49AViqDOxEREWmnW1EpmsDexrMJvKe7MLBTg8ZPP1EDYN7ICGPe84R5Y0Nkpqh73BnciYiISNvcjEzBwfWXoCoW4dTFBkOmuUAuZ2Shho3fAKIGwszaEH7+j4P7w3wELA9H5qM8qcsiIiIiAgDcCE/GoceBvW03Wwx5w5mBnQgM7UQNiia4NzF6HNwjGNyJiIhIctcvJOPQzzFQqUS0626LwVM6QsbATgSAoZ2owTGzNsQYfw9YNDFC1qPHwf0hgzsRERFJ49r5JARvjIGoEtG+px0GTXFmYCd6Ar8NRA2QqZW6x93ChsGdiIiIpHM1LBEhjwN7By87DJzUETKZIHVZRFqFoZ2ogTK1MoDf/MfBPTUfu5eHIyOFwZ2IiIjqRtzZRBzeFAtRBDr2boqBrzOwE5WHoZ2oATO1MsAYf09Y2hojO7UAAQzuREREVAeuhD7A4c3qwO7cpxkGTOgAgYGdqFwM7UQNnImlAfz8PdTBPU0d3NOTc6Uui4iIiOqp2L/u48hvlwER6NS3Ofq/2p6BnegpGNqJCCYW6uBuZVcS3CMY3ImIiKjGxf55H8e2XAFEwLVfc/R9tR0DO9EzMLQTEQB1cB89Xx3cc9IfB/ckBnciIiKqGTGn7uHY1isAALcBLdBnfDsIAgM70bPoSV0AEWkPdY+7JwJWRCDtQQ4ClofD7/E970RERETVFX38Lk7uuAoA6DzQHr1fdmJgr2HFxcVQKpVSlyE5pVIJPT095Ofno7i4WNJaFAoF5HL5cx9H0tD+xRdfYNeuXbhy5QqMjIzQq1cvfPXVV2jfvr1mm/79++PEiROl9nvrrbfw448/al7Hx8dj1qxZOHbsGExNTTF58mR88cUX0NPj3ySIqsrYXB9+8z2wZ2UEUu/nYPfycPjN94CVnYnUpREREZEOunjsLk79rg7s7oPt0WssA3tNEkURiYmJSE9Pl7oUrSCKIuzs7JCQkKAVnzNLS0vY2dk9Vy2SptoTJ05g9uzZ6NatG4qKivDRRx/B29sbsbGxMDH5OyBMnz4dn3zyiea1sfHfvX7FxcXw9fWFnZ0dTp8+jQcPHmDSpElQKBT4/PPP6/R6iOoLY3N9jJ73d3APWBHB4E5ERERVFnUkAX/uvAYA8PBuCa8xbbQiSNUnJYHdxsYGxsbGDf79ValUyM7OhqmpKWQy6e4GF0URubm5SE5OBgA0bdq02seSNLQfPHiw1OvNmzfDxsYGFy5cQN++fTXLjY2NYWdnV+4xgoODERsbi8OHD8PW1hbu7u5YtmwZPvzwQyxZsgT6+vq1eg1E9dWTPe6P7uUgYHnE48nqGNyJiIjo2SIPx+OvP64DADyHOqDn6NYNPlDWtOLiYk1gb9SokdTlaAWVSoXCwkIYGhpKGtoBwMjICACQnJwMGxubag+V16rx4xkZGQAAa2vrUsu3bduGrVu3ws7ODiNHjsS///1vTW97aGgoXF1dYWtrq9nex8cHs2bNQkxMDDw8PMqcp6CgAAUFBZrXmZmZANT3P2jzfSAltWlzjVS/2knPUMDw2Z1wYM0l9VD578Ix4h03WNnp9j3u9amN6jO2k25gO2k/tpFuqG/tFHXkLs4G3AIAePjYo8twexQVFUlc1fPTtnYqKCiAKIowNDSESqWSuhytIIqi5n+14T0xNDSEKIrIy8uDgYFBqXWV/RwJYslVSUylUmHUqFFIT0/Hn3/+qVm+fv16ODg4oFmzZrh48SI+/PBDdO/eHbt27QIAzJgxA3fu3MGhQ4c0++Tm5sLExASBgYEYNmxYmXMtWbIES5cuLbN8+/btpYbeE5FacaGAh2FGUGbJIdNXoUn3PCjMpP9HkIiIiLRP5g19ZF5VhxMzpwKYOxWCHey1Q09PD3Z2drC3t+cIYy1VWFiIhIQEJCYmlvnDVW5uLl577TVkZGTA3Ny8wmNoTU/77NmzcenSpVKBHVCH8hKurq5o2rQpBg0ahBs3bqBNmzbVOtfChQvh7++veZ2ZmQl7e3t4e3s/9c2SmlKpREhICIYMGQKFQiF1OVSB+tpO+UOUOLAmGo/u5iAzyhK+c11h3VQ3h8rX1zaqb9hOuoHtpP3YRrqhvrRTxKF43L16BwDQZXhLdBnmIHFFNUvb2ik/Px8JCQkwNTWFoaGh1OVoBVEUkZWVBTMzM624HSM/Px9GRkbo27dvmTYqGfH9LFoR2ufMmYP9+/fj5MmTaNGixVO37dGjBwDg+vXraNOmDezs7BAWFlZqm6SkJACo8D54AwODMkMTAPWU/Nrw5XsWXamzoatv7aSwVMBvnif2rIrAw4RsHFgdjdHzPNCouanUpVVbfWuj+ortpBvYTtqPbaQbdLmdzgfewrn96sDeY1RrdB3uKG1BtUhb2qm4uBiCIEAmk0l+/3ZVLFmyBF9++SVGjRqF7du31+hTv0qGxJe8L1KTyWQQBKHcz0xlP0OSXoUoipgzZw52796No0ePolWrVs/cJzIyEsDfs+95eXkhOjpaMysfAISEhMDc3BzOzs61UjdRQ2VoqsDoeR5o0tIMeVnKx5PUZUtdFhEREUksbP8tnN2rvoe9p1/9Duz0/N5//30EBQVh79692LlzZ52cMzU1FRMmTIC5uTksLS0xbdo0ZGfrxu+xkob22bNnY+vWrdi+fTvMzMyQmJiIxMRE5OXlAQBu3LiBZcuW4cKFC7h9+zb27t2LSZMmoW/fvnBzcwMAeHt7w9nZGa+//jqioqJw6NAhfPzxx5g9e3a5velE9HwMTRQY9a67JrgHrIjAw7u68Q8eERER1SxRFHF2702c268O7F4vtkGXoY7SFkVaz9TUFAMGDMD48eOxZcuWOjnnhAkTEBMTg5CQEM0o7ydvxdZmkob2devWISMjA/3790fTpk01P7///jsAQF9fH4cPH4a3tzc6dOiA9957D2PHjsW+ffs0x5DL5di/fz/kcjm8vLwwceJETJo0qdRz3YmoZpUEdxsHM+RnK7FnRQQe3s2SuiwiIiKqQ6Io4uyemzgfeBsA0PslJ3h616972Kl29ezZEyEhIUhJSanV81y+fBkHDx7Ezz//jB49euCFF17A6tWrsWPHDty/f79Wz10TJL2n/VkT19vb2+PEiRPPPI6DgwMCAwNrqiwiqoSS4L53VSSS72QhYEWEeui8vZnUpREREVEtE0URZwJuIPxQPADghZfbovMge4mrIlEUkacsluTcRgp5lSd+27x5M4qKirBjxw7MnTv3qdu6uLjgzp07Fa7v06cPgoKCyl0XGhoKS0tLdO3aVbNs8ODBkMlkOHv2LMaMGVOluuuaVkxER0S6ycBYgVHzPLDv+0gk3crEnpLg3pLBnYiIqL4SRRGnd91AZIg6sPd5pS3cBjCwa4M8ZTGcFx169oa1IPYTHxjrVz5ehoaGIiwsDCNHjsS2bdueGdoDAwOf+lxzIyOjCtclJibCxsam1DI9PT1YW1sjMTGx0jVLhaGdiJ6LgZEeRr7j/ndwX8ngTkREVF+Jooi//riOqCMJAIC+49vBtf/Tn/5EVJ6VK1dixIgRWLp0KTw9PXH9+nU4OTlVuL2DQ8O99YKhnYiem4GRHka94459qyOReFMd3NX3vJtLXRoRERHVEFEU8efOa7h49C4AoN9r7dGpb3OJq6InGSnkiP3ER7JzV1ZCQgJ27dqFkJAQeHh4wMXFBdu2bcPixYsr3Od5hsfb2dmVetoYABQVFSE1NbXCx4RrE4Z2IqoR+kZ6GDnXHftWRyHxZgb2rorEyHfcYevI4E5ERKTrRFHEqd+vIfq4OrD3n9AeLn0Y2LWNIAhVGqIulTVr1sDNzQ39+/cHAEycOBG//PLLU0P78wyP9/LyQnp6Oi5cuIAuXboAAI4ePQqVSoUePXpU7yLqkPa3KBHpDH0jPYx8pzP2r4nCg+vq4D7qHXfYtmJwJyIi0lWiSsTJHVdx6eQ9QAAGTOwA597NpC6LdFRubi42bNiA1atXa5ZNmDABH330EcLCwtC9e/dy93ue4fEdO3bE0KFDMX36dPz4449QKpWYM2cOxo8fj2bNtP+zLOkj34io/tE31MOIOZ3R1MkChXlF2LsqAom3MqQui4iIiKpBVIk4/p84TWAf+HpHBnZ6Lr/99huMjY0xbtw4zTJ7e3v0798fW7durbXzbtu2DR06dMCgQYMwfPhwvPDCC1i/fn2tna8msaediGpcSXAv6XHf93iovF1rC6lLIyIiokoSVSKOb7uC2L8eQBCAQZM7on3PplKXRTpu5syZmDlzZpnlR48erdXzWltbY/v27bV6jtrCnnYiqhUlwb1ZW0sU5hdj7/eRSLzJHnciIiJdoFKJOLr178A+eKozAzuRRBjaiajWlAT35u0socwvxt5VkXhwg8GdiIhIm6lUIo7+dhlXTj+AIBMw5A0XtOuu/TNsE9VXDO1EVKsUBnL4zu6M5u0toSwoxr7vI/HgerrUZREREVE5VCoRR36NRdyZRAgyAd7TXNC2m63UZRE1aAztRFTr/g7uVlAWFGPv6ijcv5YudVlERET0BFWxCoc3xeLq2STIZAJ83nSBUxcbqcsiavAY2omoTij05fCd7YYWHaxQVFCMfWuicP9amtRlEREREdSBPWRTLK6dexzYp3dCG08GdiJtwNBORHVGoS+H79tusO/4OLivjsK9qwzuREREUiouViF4Yyyun0+GTC5g6Fud0NqjidRlEdFjDO1EVKf09OUYPssN9s7WKCpUYf+aKNyLY3AnIiKSQnGRCsE/x+BGeDJkegKGveWKVp0Z2Im0CUM7EdU5dXB3RcsngvvdK6lSl0VERNSgFBepcGjDJdyMSNEEdke3xlKXRUT/wNBORJLQU8gxbJYrWrpYo0ipwoG1F5HA4E5ERFQnipUqHFx/CbeiHkKuJ8PwWW5wdGVgJ9JGDO1EJBk9hRzDZrrCoVOjv4P7ZQZ3IiKi2lSkLEbQ+mjcvvgQcoUMw992hYNLI6nLogZkyZIlMDQ0xLhx41BUVCR1OVqPoZ2IJKWnkGPYW65wcG2EYqUKB364iIRYBnciIqLaUKQsRtCP0bgT/Qh6Chl833ZDS2cGdqpb77//PoKCgrB3717s3LmzTs752WefoVevXjA2NoalpWW528THx8PX1xfGxsawsbHBggULtOKPCgztRCQ5uUKGYTPU99GVBPf42EdSl0VERFSvFBUWI3BdNOJjUtWBfbYb7DtaS10WNUCmpqYYMGAAxo8fjy1bttTJOQsLC/Hyyy9j1qxZ5a4vLi6Gr68vCgsLcfr0afz666/YvHkzFi1aVCf1PQ1DOxFpBblChqHTO6mDe5EKgT9EIz6GwZ2IiKgmKAuLNaPZ9PRlGDG3M1p0YGAnafXs2RMhISFISUmp9XMtXboU8+fPh6ura7nrg4ODERsbi61bt8Ld3R3Dhg3DsmXLsHbtWhQWFtZ6fU/D0E5EWkOukGHojE5o1flxcF8XjTuXGNyJiIieh7KgGAfWRuHulTToGcgxcq47mrezkrosqg2iCBTmSPMjilUud/PmzSgqKsKOHTueua2LiwtMTU0r/Bk2bFh13jGN0NBQuLq6wtbWVrPMx8cHmZmZiImJea5jPy89Sc9ORPQPcj0ZfKZ3QvDPMbgZmYLAHy+qH0HDGW2JiIiqrDC/CAfWXsT9a+lQGMgxcm5nNHWylLosqi3KXODzZtKc+6P7gL5JpTcPDQ1FWFgYRo4ciW3btmHu3LlP3T4wMBBKpbLC9UZGRpU+d3kSExNLBXYAmteJiYnPdeznxdBORFpHrieD93QXhPwcgxsRKQj6KZrBnYiIqIoK84uwf00UHlzPgMJQ3cPetI2F1GURAQBWrlyJESNGYOnSpfD09MT169fh5ORU4fYODg51WJ12YWgnIq0kl8sw5E0XYGMMboSnIOjHaAx9yxWt3BjciYiInqUw73Fgv5EBfUM5Rr7jDrvWDOz1nsJY3eMt1bkrKSEhAbt27UJISAg8PDzg4uKCbdu2YfHixRXu4+Ligjt37lS4vk+fPggKCqpSyU+ys7NDWFhYqWVJSUmadVJiaCcirSWXyzBkmguAWNwIT8bBn6If3/PeROrSiIiItFZhXhH2rY5E4s1M6BvpYdQ77rBtZS51WVQXBKFKQ9SlsmbNGri5uaF///4AgIkTJ+KXX355amiv7eHxXl5e+Oyzz5CcnAwbGxsAQEhICMzNzeHs7Pxcx35eDO1EpNXkchm8pzkjRAZcP5+Mg+svwWd6J7R2Z3AnIiL6p4K8Iuz7PhJJtzJhYKyHUe+6w8aBgZ20R25uLjZs2IDVq1drlk2YMAEfffQRwsLC0L1793L3e97h8fHx8UhNTUV8fDyKi4sRGRkJAHBycoKpqSm8vb3h7OyM119/HV9//TUSExPx8ccfY/bs2TAwMHiucz8vzh5PRFpPJpdhyFRntO1qA1WxiEPrL+FmRO0/GoSIiEiXFOQqsXfV48BuoofR8zwY2Enr/PbbbzA2Nsa4ceM0y+zt7dG/f39s3bq11s67aNEieHh4YPHixcjOzoaHhwc8PDxw/vx5AIBcLsf+/fshl8vh5eWFiRMnYtKkSfjkk09qrabKYk87EekEmVyGwVOdAUHAtXNJOLThErynu6CNh43UpREREUkuP0eJfd9HIvlOFgxNFBg93x2NW5hJXRZRGTNnzsTMmTPLLD969Gitnnfz5s3YvHnzU7dxcHBAYGBgrdZRHexpJyKdIZPLMHhKR7TrbguVSsShDTG4fiFZ6rKIiIgklZ+j7mFPvpMFQ1MFRs/3YGAnqkfY005EOkUml2HQFGcIgoC4s4kI3hgDAHDqwh53IiJqePKzldizKgIPE7JhZKbA6HkeaNTcVOqyiKgGMbQTkc6RyQQMnNwREIC4M+rgLooi2na1lbo0IiKiOpOXVYg9KyPx6F42jMz14TfPA9bNtH/mcCKqmmoNj//kk0+Qm5tbZnleXp5W3KhPRPWfTCZg4KSO6OBlB1ElIuSXWFw7lyR1WURERHUiN7MQASsi8OheNozN9THGn4GdqL6qVmhfunQpsrOzyyzPzc3F0qVLn7soIqLKkMkEDHi9Izr0avo4uMfgalii1GURERHVqpLAnno/B8YW+vDz94CVHQM7UX1VreHxoihCEIQyy6OiomBtbf3cRRERVZZMJmDgxA4QBODyXw9weFMsRBFo38NO6tKIiIhqXE5GAfasiEBaYi5MLA3gN98DlrbGUpdFRLWoSqHdysoKgiBAEAS0a9euVHAvLi5GdnZ2udP3ExHVJkEmYMCEDhAAxP71AEc2xwJgcCciovolJ70AASsikJ6UC1MrA/j5e8CiCQM7UX1XpdC+cuVKiKKIN954A0uXLoWFhYVmnb6+PhwdHeHl5VXjRRIRPYsgE9B/QgdAJiD21H0c3hwLURTRoWdTqUsjIiJ6btlp+QhYEYGM5DyYWhvAb74nLJoYSV0WEdWBKoX2yZMnAwBatWqF3r17Q0+Pk88TkfYQZAL6v9oegiAg5uQ9HPn1MkQV0LEXgzsREemurFR1YM9MyYNZI0P4zfeAeWMGdqKGoloT0ZmZmeHy5cua13v27IGfnx8++ugjFBYW1lhxRERVJcgE9BvfDp36NgdE4OiWy7h8+r7UZREREVVL5qM8BCwPR2ZKHswbG8LPn4GddN+SJUtgaGiIcePGoaioSOpytF61Qvtbb72Fq1evAgBu3ryJV155BcbGxti5cyc++OCDGi2QiKiqBJmAvq+2g2u/kuB+BbF/MbgTEZFuyXyYh4DlEch8mA/zJkbw8/eEeSMGdtJ977//PoKCgrB3717s3Lmz1s93+/ZtTJs2Da1atYKRkRHatGmDxYsXl+lwvnjxIvr06QNDQ0PY29vj66+/rvXaKqNaof3q1atwd3cHAOzcuRP9+vXD9u3bsXnzZvzvf/+ryfqIiKpFEAT0Gd8OrgNaACJwbMsVxP7J4E5ERLohIyUPu5eHI+tRPixsjDDG3wNm1oZSl0VUI0xNTTFgwACMHz8eW7ZsqfXzXblyBSqVCj/99BNiYmKwYsUK/Pjjj/joo48022RmZsLb2xsODg64cOECvvnmGyxZsgTr16+v9fqepdqPfFOpVACAw4cPY8SIEQAAe3t7PHz4sOaqIyJ6DoIgoM+4thAE4OLRuzi29QpEUUS7njZSl0ZERFShjJRcBCyPQHZaASxtjeE33wMmlgZSl0VU43r27Im5c+ciJSUFTZo0qbXzDB06FEOHDtW8bt26NeLi4rBu3Tp8++23AIBt27ahsLAQv/zyC/T19eHi4oLIyEgsX74cM2bMqLXaKqNaPe1du3bFp59+ii1btuDEiRPw9fUFANy6dQu2traVPs4XX3yBbt26wczMDDY2NvDz80NcXFypbfLz8zF79mw0atQIpqamGDt2LJKSkkptEx8fD19fXxgbG8PGxgYLFizgvRFEBEAd3F94uS06D7QHABzfFofYPx9IXBUREVH5MpLzsPs7dWC3sjOGnz8DO1WeKIrIVeZK8iOKYpXr3bx5M4qKirBjx45nbuvi4gJTU9MKf4YNG1alc2dkZMDa2lrzOjQ0FH379oW+vr5mmY+PD+Li4pCWllalY9e0avW0r1y5EhMmTEBAQAD+9a9/wcnJCQDwxx9/oFevXpU+zokTJzB79mx069YNRUVF+Oijj+Dt7Y3Y2FiYmJgAAObPn48DBw5g586dsLCwwJw5c/Diiy/ir7/+AqB+Pryvry/s7Oxw+vRpPHjwAJMmTYJCocDnn39encsjonpGEAT0ftkJkAFRhxPw5+/XYemskLosIiKiUpTZAvZ9fxG5GYWwamoCv/keMDbXf/aORI/lFeWhx/Yekpz77GtnYawwrvT2oaGhCAsLw8iRI7Ft2zbMnTv3qdsHBgZCqVRWuN7IqPLzPVy/fh2rV6/W9LIDQGJiIlq1alVqu5IO6cTERFhZWVX6+DWtWqHdzc0N0dHRZZZ/8803kMvllT7OwYMHS73evHkzbGxscOHCBfTt2xcZGRnYuHEjtm/fjoEDBwIANm3ahI4dO+LMmTPo2bMngoODERsbi8OHD8PW1hbu7u5YtmwZPvzwQyxZsqTUX0qIqOESBAG9xzpBABB5OAHpsYaIOXkf7oMcpC6NiIgI6Ym5SAkzhqqgENbNTDB6HgM71W8rV67EiBEjsHTpUnh6euL69euazuDyODjUzO9s9+7dw9ChQ/Hyyy9j+vTpNXLM2vZcD1q/cOGC5tFvzs7O8PT0fK5iMjIyAEAzTOHChQtQKpUYPHiwZpsOHTqgZcuWCA0NRc+ePREaGgpXV9dSw/J9fHwwa9YsxMTEwMPDo8x5CgoKUFBQoHmdmZkJAFAqlU/9643USmrT5hqJ7aTtuo1yQFFxES4de4C/dt6AKAKd+jWTuiwqB79LuoHtpP3YRtov7UEO9q+OhqpABqumxvCd0wkKI4FtpoW07fukVCo1842pVCoYyAwQOj5UkloMZAaaec+eJSEhAbt27cKhQ4fQuXNnuLi4YOvWrVi0aFGF+7i6uuLOnTsVrn/hhRcQGBioGab/5DxsJe7fv4+BAwfCy8sLP/74Y6n1tra2SExMLLXswQP1LZU2NjaVvrZ/UqlUEEURSqWyTAd3ZT9H1QrtycnJeOWVV3DixAlYWloCANLT0zFgwADs2LGjWpMIqFQqzJs3D71790anTp0AqIch6Ovra85RouQNLdnmn/fRPzmMoTxffPEFli5dWmZ5cHAwjI0rP6RDKiEhIVKXQJXAdtJeogFg1lofWTcNcPqPG4iJiYGZo3b8ny+Vxe+SbmA7aT+2kXZSZsmQEmYEVaEMCrNiGDon49ipw1KXRc+gLd8nPT092NnZITs7u8zjy+paFrIqve3y5cvh4uICT09PZGZmYuzYsdi6dSvmzZtX4T7/+c9/njpvmaGhoaYzFgCyskrXc//+fYwaNQqdO3fGypUrkZ2dXWq9u7s7Pv30Uzx69AgKhfo2ygMHDqBt27aQy+Wljl0VhYWFyMvLw8mTJ8vUn5ubW6ljVCu0z507F9nZ2YiJiUHHjh0BALGxsZg8eTLeeecd/Oc//6nyMWfPno1Lly7hzz//rE5JVbJw4UL4+/trXmdmZsLe3h7e3t4wNzev9fNXl1KpREhICIYMGaL5IJH2YTtpP6VSiWCEoFWrVrh45D4yLhvCuaMzXAc0l7o0egK/S7qB7aT92Eba69G9HBxYcxGqwiJYNzeGYYck+PiynbSZtn2f8vPzkZCQAFNTUxga6sYjAXNzc7FlyxasWrVKk73eeOMNLFu2DFeuXEH37t3L3a+kY/dZRFFEVlYWzMzMIAgCAPWQ+NGjR8PR0RErV64sNerazs5OU8M333wDf39/fPDBB7h06RJ++uknfPfdd8+VEfPz82FkZIS+ffuWaaPK/iGgWqH94MGDOHz4sCawA+rh8WvXroW3t3eVjzdnzhzs378fJ0+eRIsWLTTL7ezsUFhYiPT09FK97UlJSZo3187ODmFhYaWOVzK7fMk2/2RgYAADg7KzcCoUCq348j2LrtTZ0LGdtJsgAD1Gt4ZCX4ELQXcQuusmZDIZ3Ae3lLo0+gd+l3QD20n7sY20S0pCFg6sjkZ+ThGatDTDsLddcPRECNtJR2hLOxUXF0MQBMhkMshk1XowWJ3bunUrjI2NMX78eE3NDg4O6N+/P7Zv346ePXs+1/FLhrGXvC8AcOTIEVy/fh3Xr19Hy5alf9crGU5vZWWF4OBgzUTpjRs3xqJFizBz5sznqkcmk0EQhHI/M5X9DFWrZVUqVbknUCgUVRrrL4oi5syZg927d+Po0aNlZuvr0qULFAoFjhw5olkWFxeH+Ph4eHl5AQC8vLwQHR2N5ORkzTYhISEwNzeHs7NzVS+NiBoQQRDQY1RrdB3uCAD464/riAiJl7YoIiKq91Lis7BnZQTyc5SwcTDD6HnuMDSRPgAS1YWZM2fi7t27ZfLk0aNH8f3339fKOadMmQJRFMv9eZKbmxtOnTqF/Px83L17Fx9++GGt1FNV1QrtAwcOxLvvvov79+9rlt27dw/z58/HoEGDKn2c2bNnY+vWrdi+fTvMzMyQmJiIxMRE5OXlAQAsLCwwbdo0+Pv749ixY7hw4QKmTp0KLy8vzV9gvL294ezsjNdffx1RUVE4dOgQPv74Y8yePbvc3nQioieVBPduvo4AgNP/u47w4IonOSEiInoeyXcysWdlBApyimDbyhyj5nnAwJiBnYgqVq3QvmbNGmRmZsLR0RFt2rRBmzZt0KpVK2RmZmL16tWVPs66deuQkZGB/v37o2nTppqf33//XbPNihUrMGLECIwdOxZ9+/aFnZ0ddu3apVkvl8uxf/9+yOVyeHl5YeLEiZg0aRI++eST6lwaETVQ3Ue2RrcR6tE+obtuIPwQgzsREdWspNuZ2LMyEgW5RbBrbYFR77jDwOi5HuZERA1Atf6VsLe3R3h4OA4fPowrV64AADp27Fjq0WyV8c/hCOUxNDTE2rVrsXbt2gq3cXBwQGBgYJXOTUT0T91HtIIgAGH7biF09w2IooguQx2lLouIiOqBxFsZ2LcqEoX5xWjqZIERczpD35CBnYierUo97UePHoWzszMyMzMhCAKGDBmCuXPnYu7cuejWrRtcXFxw6tSp2qqViKjWdfNthR6j1D3uZwJu4nzgbWkLIiIinZd4MwN7Hwf2Zm0tGdiJqEqqFNpXrlyJ6dOnlzvlvYWFBd566y0sX768xoojIpJC1+Gt0GN0awDA2b03ce7ALYkrIiIiXfXgejr2roqEMr8YzdsxsBNR1VUptEdFRWHo0KEVrvf29saFCxeeuygiIql1HeaInn7q4B627xbC9jO4ExFR1dy/lo69q6OgLChG8/ZW8J3TGQoDudRlEZGOqdKf+ZKSkp76LDk9PT2kpKQ8d1FERNqgy1BHCIKA0N03cG7/LYii+Pi+d0Hq0oiISMvdi0vD/rVRKCpUoUUHKwx/2w0KfQZ2Iqq6KvW0N2/eHJcuXapw/cWLF9G0adPnLoqISFt4+jjA68U2AIDzB24jbN+tSk2iSUREDdfdK6nYv0Yd2O2dreHLwE5Ez6FKoX348OH497//jfz8/DLr8vLysHjxYowYMaLGiiMi0gae3g7oNdYJAHA+kMGdiIgqlnA5FfvXXkSRUoWWLo0wfJYr9BjYieg5VCm0f/zxx0hNTUW7du3w9ddfY8+ePdizZw+++uortG/fHqmpqfjXv/5VW7USEUnGY0hL9H7p7+B+ds9NBnciIiolPvYRDvxwEcVKFRxcG2H4TFfoKRjYif5pyZIlMDQ0xLhx41BUVCR1OVqvSqHd1tYWp0+fRqdOnbBw4UKMGTMGY8aMwUcffYROnTrhzz//hK2tbW3VSkQkKffBLfHCy20BABcO3sGZAAZ3IiJSuxPzCIE/RKNYqYKjW2MMm+EKuaJKv2oTNRjvv/8+goKCsHfvXuzcubNOz11QUAB3d3cIgoDIyMhS6y5evIg+ffrA0NAQ9vb2+Prrr+u0topU+XkTDg4OCAwMRFpaGq5fvw5RFNG2bVtYWVnVRn1ERFql8yB7QAD+/O81hB+6A1EU4TWmDSenIyJqwG5HP0TQT9FQFYlo1bkxfKZ3glyPgZ2oIqamphgwYADGjx+PLVu24NVXX62zc3/wwQdo1qwZoqKiSi3PzMyEt7c3Bg8ejB9//BHR0dF44403YGlpiRkzZtRZfeWp9kMirays0K1bt5qshYhIJ3QeaA9BEHDq96uICI4HRMDrRQZ3IqKG6FZUCg6uvwRVsYjWHk3g/aYL5HIGdqLK6NmzJ+bOnYuUlBQ0adKk1s8XFBSE4OBg/O9//0NQUFCpddu2bUNhYSF++eUX6Ovrw8XFBZGRkVi+fLnuhnYioobMbUALCAJwcsdVRITEQyWK6D3WicGdiKgBuRmZgkMb1IG9jacNhkxzZmAnSYmiCDEvT5JzC0ZGVf49aPPmzSgqKsKOHTswd+7cp27r4uKCO3fuVLi+T58+ZYL4k5KSkjB9+nQEBATA2Ni4zPrQ0FD07dsX+vr6mmU+Pj746quvkJaWJunIcoZ2IqJqcu3fAoJMwIntcYg6nACIQO+XGNyJiBqCG+HJCP45BiqViLZdbTB4qjNkDOwkMTEvD3GeXSQ5d/vwCxDKCcMVCQ0NRVhYGEaOHIlt27Y9M7QHBgZCqVRWuN7IyKjCdaIoYsqUKZg5cya6du2K27dvl9kmMTERrVq1KrWsZL62xMREhnYiIl3VqW9zAFAH9yMJEEURL7zclsGdiKgeu34hGcEbYyCqRLTtZovBUzoysBNV0cqVKzFixAgsXboUnp6euH79OpycnCrc3sHBodrnWr16NbKysrBw4cJqH0NKDO1ERM+pU9/mEATg+LY4XDx6F6II9BnH4E5EVB9dO5+EkF9iIapEtO9hh4GTO0Im47/3pB0EIyO0D78g2bkrKyEhAbt27UJISAg8PDzg4uKCbdu2YfHixRXu8zzD448ePYrQ0FAYGBiUWt61a1dMmDABv/76K+zs7JCUlFRqfclrOzu7yl5arWBoJyKqAS59mkOQCTi29Qqij90FVCL6jG/H4E5EVI9cDUvE4U2xEEWgg5cdBrzOwE7aRRCEKg1Rl8qaNWvg5uaG/v37AwAmTpyIX3755amh/XmGx3///ff49NNPNa/v378PHx8f/P777+jRowcAwMvLC//617+gVCqhUCgAACEhIWjfvr3kT0pjaCciqiHOvZsBgDq4n7gHEUBfBncionoh7mwijmxWB/aOvZtiwIQOEBjYiaosNzcXGzZswOrVqzXLJkyYgI8++ghhYWHo3r17ufs9z/D4li1blnptamoKAGjTpg1atGgBAHjttdewdOlSTJs2DR9++CEuXbqEVatWYcWKFdU+b03hzTdERDXIuXczDHy9IyAAl07cw8n/XIWoEqUui4iInsOV0Ac4/DiwO/dpxsBO9Bx+++03GBsbY9y4cZpl9vb26N+/P7Zu3SpZXRYWFggODsatW7fQpUsXvPfee1i0aJHkj3sD2NNORFTjOvZqCkEAjvx2GZdO3oMoiuj3anv+gkdEpINi/7qPY1uvAKJ6DpO+49vx33Oi5zBz5kzMnDmzzPKjR4/WWQ2Ojo4QxbKdKm5ubjh16lSd1VFZDO1ERLWgg5c6uB/+9TJiTt2HKAL9X2NwJyLSJTGn7uH4tjgA6sd89nmFk4wSUd1jaCciqiXtezYFBAFHNsci9s/7EEWRQyqJiHTEpZP3cGK7OrC7DWzBx3kSkWQY2omIalH7HnbqHvdNsbj81wOIIjBwIoM7EZE2iz5+Fyd3XAUAdB5sj95jnRjYiUgyDO1ERLWsXXc7CIKAkF9icOX0A0AU+ZggIiItFXU0AX/+9xoAwGNIS3i92IaBnYgkxdBORFQH2nazBQQg5JdYXAlNVPe4T2JwJyLSJpGH4/HXH9cBAJ5DHdBzdGsGdiKSHEM7EVEdadvVFoIgIHhjDOLOJEIURQya7MzgTkSkBSKC43F6lzqwdx3uiO4jWzGwE5FWYGgnIqpDTl1sIAhA8M8xuHo2CRCBQVMY3ImIpBR+6A5Cd98AAHTzdUS3EQzsRKQ9ZFIXQETU0LTxtIH3dBfIZAKuhiXh8KZYqIpVUpdFRNQgnQ+8rQns3Ue2QveRHBJPRNqFoZ2ISAJtPGzgM6MTZDIB184xuBMRSeHcgVs4u/cmAKDHqNbo5ttK4oqIiMpiaCcikkhr9ybq4C4XcO18MkJ+YXAnIqoLoigibN9NhO27BQDwGtMGXYc7SlsUUQOyZMkSGBoaYty4cSgqKpK6HK3H0E5EJKHW7k0w9C1XyOQCrl9IRvDGWBQzuBMR1Rp1YL+FcwduAwB6vegETx8HaYsiamDef/99BAUFYe/evdi5c2ednrugoADu7u4QBAGRkZGl1l28eBF9+vSBoaEh7O3t8fXXX5fZf+fOnejQoQMMDQ3h6uqKwMDAWq+ZoZ2ISGKt3Bpj2FuukOkJuBGejJCfYxjciYhqgSiKOBNwE+cDbwMAer/kBA/vltIWRdQAmZqaYsCAARg/fjy2bNlSp+f+4IMP0KxZszLLMzMz4e3tDQcHB1y4cAHffPMNlixZgvXr12u2OX36NF599VVMmzYNERER8PPzg5+fHy5dulSrNTO0ExFpAccng3tECoI3xKC4iMGdiKimiKKI0F03EH7oDgDghZfbwn0wAzuRlHr27ImQkBCkpKTUyfmCgoIQHByMb7/9tsy6bdu2obCwEL/88gtcXFwwfvx4vPPOO1i+fLlmm1WrVmHo0KFYsGABOnbsiGXLlsHT0xNr1qyp1boZ2omItISja2MMn+UGuZ4MNyNTcGjDJQZ3IqIaIIoi/vrfdUSExAMA+o5vh86D7CWuiqjmiaIIZUGxJD+iKFa53s2bN6OoqAg7dux45rYuLi4wNTWt8GfYsGFP3T8pKQnTp0/Hli1bYGxsXGZ9aGgo+vbtC319fc0yHx8fxMXFIS0tTbPN4MGDS+3n4+OD0NDQylxutfE57UREWsTBpRGGz3JF4Lpo3Ip6iIPrL2HojE6Q6/FvrERE1SGKIv7ceQ0Xj94FAPR7rT069W0ucVVEtaOoUIX1756Q5NwzVvWDwkBe6e1DQ0MRFhaGkSNHYtu2bZg7d+5Ttw8MDIRSqaxwvZGRUYXrRFHElClTMHPmTHTt2hW3b98us01iYiJatSr9BAlbW1vNOisrKyQmJmqWPblNYmLiU2t/XgztRERapqVLIwx/Wx3cb198HNynd4JcweBORFQVoiji1O/XEH1cHdj7T2gPlz4M7ETaYOXKlRgxYgSWLl0KT09PXL9+HU5OThVu7+BQ/QkjV69ejaysLCxcuLDax5ASQzsRkRZq6dwIvm+74cAPF3H74kMErY/GsBmuDO5ERJUkqkSc3HEVl07eAwRgwMQOcO5ddvIpovpET1+GGav6SXbuykpISMCuXbsQEhICDw8PuLi4YNu2bVi8eHGF+7i4uODOnTsVru/Tpw+CgoLKXXf06FGEhobCwMCg1PKuXbtiwoQJ+PXXX2FnZ4ekpKRS60te29nZaf63vG1K1tcWhnYiIi1l39EavrPdELj2Iu5EP0Lgj9EYNrMT9BSVH3pGRNQQiSoRx/8Th9hT9wEBGPh6R3Ts1VTqsohqnSAIVRqiLpU1a9bAzc0N/fv3BwBMnDgRv/zyy1ND+/MMj//+++/x6aefal7fv38fPj4++P3339GjRw8AgJeXF/71r39BqVRCoVAAAEJCQtC+fXtYWVlptjly5AjmzZunOVZISAi8vLyeec3Pg6GdiEiL2XdQB/cDay8iPuYRgn6MxrCZrgzuREQVEFUijm+7gti/HkAQgEGTO6J9TwZ2Im2Rm5uLDRs2YPXq1ZplEyZMwEcffYSwsDB079693P2eZ3h8y5alnxRhamoKAGjTpg1atGgBAHjttdewdOlSTJs2DR9++CEuXbqEVatWYcWKFZr93n33XfTr1w/fffcdfH19sWPHDpw/f77UY+FqA8dZEhFpuRYdrDFiTmfo6csQH5OKwHXRKCoslrosIiKto1KJOLrl8t+BfYozAzuRlvntt99gbGyMcePGaZbZ29ujf//+2Lp1q2R1WVhYIDg4GLdu3UKXLl3w3nvvYdGiRZgxY4Zmm169emH79u1Yv349OnfujD/++AMBAQHo1KlTrdbGnnYiIh3QvL0VRszpjP1ropAQm4rAdRcxfJYb9PTZ405EBDwO7L9eRtzZRAgyAUOmOqNtN9tn70hEdWrmzJmYOXNmmeVHjx6tsxocHR3LfUSdm5sbTp069dR9X375Zbz88su1VVq52NNORKQjmrezwsi5naFnIEfC5TQc+OEilOxxJyKCqliFI5tjNYHde5oLAzsR1RsM7UREOqRZW3VwVxjIcfdKGg6sZXAnooZNVazC4U2xuBqWBJlMgM+bLnDqYiN1WURENUbS0H7y5EmMHDkSzZo1gyAICAgIKLV+ypQpEASh1M/QoUNLbZOamooJEybA3NwclpaWmDZtGrKzs+vwKoiI6lYzJ0tNcL8Xl4YDa6OgLGBwJ6KGp7hYheCNsbh2PhkyuQCfGZ3QxpOBnYjqF0lDe05ODjp37oy1a9dWuM3QoUPx4MEDzc9//vOfUusnTJiAmJgYhISEYP/+/Th58mSpyQKIiOqjpk6WGPmOOxSGctyLS8f+NQzuRNSwFBerEPJzDG6EqwP70Ldc0dq9idRlERHVOEknohs2bBiGDRv21G0MDAwqfFj95cuXcfDgQZw7dw5du3YFAKxevRrDhw/Ht99+i2bNmtV4zURE2qJpGwuMescd+76PxP1r6uDuO9sN+oacY5SI6rfiIhUObbiEW1EPIdMTMOwtVzi6Npa6LCLJlDepGmmHmmgbrf/N7vjx47CxsYGVlRUGDhyITz/9FI0aNQIAhIaGwtLSUhPYAWDw4MGQyWQ4e/YsxowZU+4xCwoKUFBQoHmdmZkJAFAqlVAqlbV4Nc+npDZtrpHYTrqgPrVRI3tjDJ/dCQfWXsL9a+nY930khs5yqRfBvT61U33GdtJ+9a2NipUqhPxyGfGXUiHXEzDkTWc072Ch89dX39qpvtLGdhJFEdnZ2TAwMJC6FK1QEpJFUYRKpZK4GiA7O1tT0z8/N5X9HAmilvxZRhAE7N69G35+fpplO3bsgLGxMVq1aoUbN27go48+gqmpKUJDQyGXy/H555/j119/RVxcXKlj2djYYOnSpZg1a1a551qyZAmWLl1aZvn27dthbGxco9dFRFQXCtNlSDlnDLFIgL5VERp3zYNM93M7EVEpYjHwKMII+Sl6gExEY888GDbhrUHUsJmZmcHKygqNGzeGvr4+BEGQuiSC+o8GhYWFePjwIdLS0pCVlVVmm9zcXLz22mvIyMiAubl5hcfS6l/pxo8fr/lvV1dXuLm5oU2bNjh+/DgGDRpU7eMuXLgQ/v7+mteZmZmwt7eHt7f3U98sqSmVSoSEhGDIkCFQKBRSl0MVYDtpv/raRsm9sxC4NhqFaUDx9ebwnuUCfSOt/mf+qeprO9U3bCftV1/aqEipQsiGWOSnpEGukMFnhjNadLCSuqwaU1/aqb7TxnYSRRHJycma0cMNnSiKyM/Ph6GhoVb8AaNJkyZwcXEpt5bKtplO/TbXunVrNG7cGNevX8egQYNgZ2eH5OTkUtsUFRUhNTW1wvvgAfV98uUNH1EoFFrz5XsaXamzoWM7ab/61kbNnawxep4H9q6KRNKtTASti8HId9xhoMPBHah/7VRfsZ20ny63UVFhMUJ+jkHC5TToKWTwne2GFh2spS6rVuhyOzUk2tZOLVq0QHFxsVYN25eKUqnEyZMn0bdvX8nbSKFQQC6XP3V9ZejUb3J3797Fo0eP0LRpUwCAl5cX0tPTceHCBXTp0gUAcPToUahUKvTo0UPKUomIJGHjYI7R8zywZ2UEkm5lYt/3kfUiuBNRw6UsLEbgDxdx90oa9AzkGDHbDc3b1Z8edqKaIpfLnxoQGwq5XI6ioiIYGhpKHtpriqSPfMvOzkZkZCQiIyMBALdu3UJkZCTi4+ORnZ2NBQsW4MyZM7h9+zaOHDmC0aNHw8nJCT4+PgCAjh07YujQoZg+fTrCwsLw119/Yc6cORg/fjxnjieiBqtJSzOMnucBAxM9JN3KxN5VkSjI5V/eiUj3KAuKcWBtFO5eSYPCQI6RczozsBNRgyNpaD9//jw8PDzg4eEBAPD394eHhwcWLVoEuVyOixcvYtSoUWjXrh2mTZuGLl264NSpU6WGtm/btg0dOnTAoEGDMHz4cLzwwgtYv369VJdERKQVngzuybfVwT0/h8GdiHRHYX4R9q+Jwr24dCgM5Rg5tzOatbWUuiwiojon6XjJ/v37P/W5dYcOHXrmMaytrbF9+/aaLIuIqF5oYm8Gv/ke2LMiEsl3srB3VSRGvesOQ5P6MVSMiOqvksD+4HoG9A3lGPmOO+xaW0hdFhGRJCTtaSciotrVuIUZRs/3gKGpAinxWexxJyKtV5hXhP2rHwd2Iz2MeteDgZ2IGjSGdiKieq5xC1P4zfeAkZk6uO9ZGYH8bAZ3ItI+BXlF2Lc6Eg9uZMDAWA+j57nDtpX2Po6XiKguMLQTETUAjZqbYvTj4P4wIRsBKyOQl10odVlERBoFuUrsXRWJxJuZjwO7B2wcGNiJiBjaiYgaiEbNTOE33xNG5vp4dDcbe1ZEMrgTkVbIz1EH9uTbmTA0UWD0fA80aWkmdVlERFqBoZ2IqAGxbmaCMf4eMDbXx6N72dizIgJ5WQzuRCQdTWC/kwVD08eB3Z6BnYioBEM7EVEDY2VnAj9/Dxhb6OPRvRwErIhAbiaDOxHVvbzsQuxZGYGU+CwYmSngN98DjVuYSl0WEZFWYWgnImqArOxMMMbfEyYW+ki9z+BORHUvL6sQe1ZE4GFCNozM9eE33xONmjOwExH9E0M7EVEDZWlrDD9/T5hYGiDtQQ4ClocjJ6NA6rKIqAHIzSxEwIoIPLqXA2NzfYzx94B1MxOpyyIi0koM7UREDZg6uHvA1MoAaYm52LMigsGdiGpVTkYBApaHI/V+Dowt9OHn7wErOwZ2IqKKMLQTETVwljalg3vAcgZ3IqodORkF2LMiAmmJuTCxNMAYf08GdiKiZ2BoJyIiWDRRD5U3tTZAetLj4J7O4E5ENSc7rQABy9WB3dTKAGPe84ClrbHUZRERaT2GdiIiAgBYNDHCGH9PmFkbIj0pF7uXhyM7jcGdiJ5fdlo+ApaHIz0pF6bWBvDz94RFEwZ2IqLKYGgnIiIN88ZG8PP3gJm1ITKS8xCwPBzZaflSl0VEOiwrNR+7vwtHRkoezBoZYoy/JyyaGEldFhGRzmBoJyKiUswbG8HvPQ+YNTJERkoedi+PQFYqgzsRVV3mwzzs/i4cmQ/zYd7YEH7+HjBvzMBORFQVDO1ERFSGeSMjjHnPE+aNDZGZou5xZ3AnoqrIfJiH3cvDkfUoH+ZNjODn7wnzRgzsRERVxdBORETlMrM2VP+S3dgQmQ/V96NmPsqTuiwi0gEZKbnY/V04slMLYGHz93wZRERUdQztRERUITNrQ4x5T33/qTq4RyDzIYM7EVWs5AkU2WkFsLQ1xhh/T5haGUhdFhGRzmJoJyKipzK1Uve4W9gYIetRPnYvD2dwJ6JypSXmPJ7AsgBWdsbw8/eAiSUDOxHR82BoJyKiZzK1MsAYf09Y2hojO7VAMxM0EVEJdWCPQE5GIaybmcDP3xMmFgzsRETPi6GdiIgqxcTSAH7+HurgnlaAgOXhyEjJlbosItICqfdzsHt5BHIzC9GouQlGz/OAsbm+1GUREdULDO1ERFRpJhbq4G5lpw7uu7+LQHoygztRQ/boXjYCVoQjL7MQjVqYYvR8BnYioprE0E5ERFWiDu6esGpqgpz0AgR8F470JAZ3oobo4d1sBKyIQF6WEo3tTeE3zwNGpgzsREQ1iaGdiIiqzNhcH37zPWDdzAQ5GYXYvTwcaYk5UpdFRHUoJSELe1ZEID9biSYtzTB6ngcMTRVSl0VEVO8wtBMRUbUYm+tj9Dx1cM/NKETAiggGd6IGIiX+cWDPUcLGwQyj57nD0ISBnYioNjC0ExFRtZX0uDdq/ji4L49A6gMGd6L6LPlOJvasjEBBbhFsW5lj1DwPGBgzsBMR1RaGdiIiei5GZvoYPd8DjZqbIjdT3eOeep/Bnag+SrqViT0rI1GQWwS71hYY9Y47DIz0pC6LiKheY2gnIqLnZmSq7nFvbG+KvMxCBKwIx6N72VKXRUQ1KPFmBvauikBhXhGaOllg5Dudoc/ATkRU6xjaiYioRhiaKjD63cfBPUuJPSsjGNyJ6okHNzKw9/tIFOYXo1lbS4yY0xn6hgzsRER1gaGdiIhqjKGpAqPneaBJSzPkZSkRsCICD+8yuBPpsvvX07Hv+0go84vRvB0DOxFRXWNoJyKiGmVoosCod93RpKUZ8rOV2LMiAg/vZkldFhFVw72radi3OgrKgmK06GAF3zmdoTCQS10WEVGDwtBOREQ1ztBEgdHz3GHjYIb8HHWPe0oCgzuRLrkbl4b9a6JQVFAMe2dr+L7tBoU+AzsRUV1jaCciolphYKzucbdxNEdBThH2rIhASjyDO5EuSLiSiv9v787D26gOtYG/M6PFkh3vW5zF2VeyOEBCoKzZE0IC3LYEShOaQtlLUnpbblsgcL8PSilJm6al5UKg/Uq5hYYkgAmEQKBACJDY2ROyOHu8x4sk2xppzveHFo9kyZbjRZL9/p7Hj6yZo9GRj2XrPefMmXf+sAsup4aBY9Mx955xMDCwExFFBUM7ERF1GV9wzxmcjCaHCxtWFaH8RF20q0VErTi5vwrvrNkNl6ohf1wG5tw9DgYjAzsRUbQwtBMRUZcyWwy44cGJyB3iCe4bf1eMsuMM7kSx6MS+KhT+cQ/cqoZB4zMx5y4GdiKiaGNoJyKiLmeyGDD/gYnIHZLSHNxLGNyJYsnxPZUo/NNuuF0ahkzMwuy7LoJi5EdFIqJo419iIiLqFiaLAfMfnIC+w1LgbHBh4++KUFpSG+1qERGAkt2VePf5PdBcAkMLsjDzzrFQDPyYSEQUC/jXmIiIuo0pwYDr7/cG90Y3Nv6uGKXHGNyJoulYcQU2/XkPNLfAsIuzMeOHY6Eo/IhIRBQr+BeZiIi6lS+45w1PhdroxsbfF+PcUQZ3omg4urMc7/1lLzS3wPBLczDjB2MY2ImIYgz/KhMRUbfzBfd+IzzB/a3fF+PckZpoV4uoVzn8dRne+5990DSBEVNyMH3JaMgM7EREMYd/mYmIKCqMZgXz7p+AfiPToDa5sXH1Lpw9XBPtahH1Ct98VYrNL+2H0ARGXZaLaYvHMLATEcUo/nUmIqKoMZoUzLtvPPqPSoOryY23/rALZw+fj3a1iHq0Q9tL8YEvsF/eF9d+fzRkWYp2tYiIKIyohvZPPvkE8+fPR15eHiRJwvr16wP2CyHw6KOPom/fvrBYLJg+fToOHz4cUKa6uhq33XYbkpOTkZqaiqVLl8Jms3XjqyAioo4wmhTMu3c8Boz2BvfVu3DmGwZ3oq5wcNs5fPDyfggBjLmiL6773igGdiKiGBfV0G632zFhwgSsWbMm5P5nnnkGv//97/H8889j+/btSExMxKxZs9DY2Ogvc9ttt2Hfvn3YvHkz3n77bXzyySe46667uuslEBFRJzCYFMy9ZzwGjkmHy6nh7T/swtlvaqJdLaIe5eC2Umz56wFAAGOv6odrbhsFiYGdiCjmGaL55HPmzMGcOXNC7hNCYNWqVfjlL3+JBQsWAAD++te/IicnB+vXr8ctt9yCAwcOYNOmTfjqq69wySWXAABWr16NuXPn4tlnn0VeXl63vRYiIuoYg0nBnHvG4d3n9+Lkviq8+/w+pBUo0a4WUY9gP2XEJ+96ZitedHU/XHXLCEgSAzsRUTyIamhvTUlJCUpLSzF9+nT/tpSUFEyZMgXbtm3DLbfcgm3btiE1NdUf2AFg+vTpkGUZ27dvx4033hjy2E1NTWhqavLfr6urAwCoqgpVVbvoFXWcr26xXEdiO8UDtlFsm7F0FDa/eAAn91Wj8msLTkyqRP7YzGhXi8Lg+yn27fn4NM7vTQAAjL06D1NvHgyXyxXlWlEwvpfiA9sp9sVTG0Vax5gN7aWlpQCAnJycgO05OTn+faWlpcjOzg7YbzAYkJ6e7i8TylNPPYUVK1a02P7+++/DarV2tOpdbvPmzdGuAkWA7RT72EaxS/QDEsotaKww4L2/7EfmxQ1IyHRHu1rUCr6fYpPthBE1+z2BPWmQEzWWQ3j33UNRrhW1hu+l+MB2in3x0EYOhyOicjEb2rvSI488guXLl/vv19XVYcCAAZg5cyaSk5OjWLPWqaqKzZs3Y8aMGTAajdGuDoXBdop9bKP40Di9Cf989jM0lhtxvigRM+8aiwGj06JdLQrC91Ps2rv1DD7ffwwAkDTYif+4/0qYTKYo14rC4XspPrCdYl88tZFvxndbYja05+bmAgDKysrQt29f//aysjJMnDjRX6a8vDzgcS6XC9XV1f7Hh2I2m2E2m1tsNxqNMd+wQPzUs7djO8U+tlHsyyhohOFsLk7sqcL7f9mPOfeMQ/7YjGhXi0Lg+ym2FH9wEp//yxPYJ87ojwrlAEwmE9soDvC9FB/YTrEvHtoo0vrF7HXaBw8ejNzcXGzZssW/ra6uDtu3b8fUqVMBAFOnTkVNTQ127NjhL/Phhx9C0zRMmTKl2+tMRESdS5KB6T8YhSETs+B2aSj8024c31MZ7WoRxbSd75/AZ28cAQBcPCcfl84fBK45R0QUv6Ia2m02G4qLi1FcXAzAs/hccXExTp48CUmS8NBDD+G///u/sXHjRuzZswff//73kZeXh4ULFwIARo8ejdmzZ+POO+/El19+ic8++wz3338/brnlFq4cT0TUQygGGTPvHIuhBVnQXALv/nkPju9mcCcKZcem49i27igA4JJ5gzDlhiFcJZ6IKM5FNbR//fXXKCgoQEFBAQBg+fLlKCgowKOPPgoA+M///E888MADuOuuu3DppZfCZrNh06ZNSEhI8B/j73//O0aNGoVp06Zh7ty5+Na3voW//OUvUXk9RETUNRRFxowfjsXQSdn+4F7C4E4U4OvCEnyx3jMlfvL8wZgyn4GdiKgniOo57ddccw2EEGH3S5KEJ554Ak888UTYMunp6Xj11Ve7onpERBRDFEXGzKVjsFkGjnxdjk1/3oNZd16EIROzol01oqj78u0SfPV2CQBgyg1DcMncQdGtEBERdZqYPaediIgomKzImHHHGAy/JBuaW+C9v+zFsaKKaFeLKGqEENi+8Zg/sE+9cSgDOxFRD8PQTkREcUVWZEy/YwyGX5oDTRN474W9OFpU3vYDiXoYIQS2bziGrwuPAwAuv2kYJs3Kj26liIio0zG0ExFR3PEF9xFTfMF9H47sYHCn3kMIgW1vHsWOTScAAFf8xzAUzBwY5VoREVFXiNnrtBMREbVGliVMWzwGEiQc2l6K91/cByEEhl+SE+2qEXUpIQQ+/9cRFH9wCgBw5XeHY/y1A6JcKyIi6ioM7UREFLdkWcJ1i0dDkoCDX5Ri80v7AQEMv5TBnXomIQQ+ff0wdn94GgBw1S0jMO6a/lGuFRERdSWGdiIiimuyLOHa748GZAkHPz+HzS95RtxHTM6NdtWIOpUQAv/+38PYs9UT2K++dSQuuqpflGtFRERdjaGdiIjinixLuO57oyBJwIHPzuGDtfshBDByCoM79QxCE/jktW+w95MzgARce9sojPlWXrSrRURE3YChnYiIegRJlnDtbaMgSRL2f3oWH7y8H0IIjLqsb7SrRtQhQhPY+o9D2P/vs4AEXHf7KIy+nIGdiKi3YGgnIqIeQ5IlXHPrSEgSsO/fZ7HllQOAAEZNZXCn+CQ0gY/+fhAHPjsHSMC0xaPZEUVE1MswtBMRUY8iyRKuXjQSkiRh7ydnsOWvByCE4MgkxR1NE/jobwdwcFspJAmYtmQMT/kgIuqFGNqJiKjHkWQJVy0aAUkC9nx8Bh/+7SCEAMZcweBO8UHTBD585QAObS+FJEuYcccYXhWBiKiXYmgnIqIeSZIkXHnLCECWsOej0/jobwchNIGxV3K1bYptmlvDBy8fwOGvyiDJEmYuHYthF2dHu1pERBQlDO1ERNRjSZKEK78zHJIE7P7wNLb+/RCEAC+TRTFLc2vYvHY/jnxdDlmWMPOHYzF0EgM7EVFvxtBOREQ9miRJ+Na3h0OChF0fnsLHrx4ChMBFV/ePdtWIArjdGja/uA9Hd1ZAViTMuvMiDJmYFe1qERFRlDG0ExFRjydJEq749jBIMlD8wSl8/I9vIAQw7hoGd4oNbpeG9/9nH44VewL77B+Nw+DxmdGuFhERxQA52hUgIiLqDpIk4fKbh6FgxkAAwCevfYNdH56Kcq2IPIH9vRf2egK7QcKcuxnYiYioGUfaiYio15AkCVNvGgpJBna+dxKf/vMwIIAJ0wZEu2rUS7lVDZte2IvjuyuhGGTMuWcc8sdmRLtaREQUQxjaiYioV5EkCZctHApIEnZuOoFPXz8MIQQmTh8Y7apRL+NS3dj05704sbcKilHG3HvGYeAYBnYiIgrE0E5ERL2OJEm4bMEQSBKw490T+OyNIxAC/qnzRF3N5XTj3ef34OT+ahiMMubeOx4DRqdHu1pERBSDGNqJiKhXkiQJU24YAkmS8HXhcXz+ryMQmsCkWfnRrhr1cKrTjcI/7sbpg+dhMMmYd98E9B+ZFu1qERFRjGJoJyKiXssf3GUJX71dgm1vHoUQAhfPHhTtqlEPpTa58c4fd+PMofMwmBXMv3888oYzsBMRUXgM7URE1OtNvn4wJAn48q0SfLH+GIQALpkzKNrVoh7G2ejCO2t24+zhGhjNCuY/MAF9h6VGu1pERBTjGNqJiIgAXDrPE9y3byzB9g3HACFwydzB0a4W9RDORhfe/sMunDtSC2OCghsenIjcISnRrhYREcUBhnYiIiKvS+YOBiQJ2zccw/aNJdA0zyg8UUc4G1x4a/UulB6rhcliwPwHJyB3MAM7ERFFhqGdiIhI55I5gyDLEra9eRRfvV0CIYR3+rwU7apRHGpqcOGt3xejrKQOZqsBN/x4IrLzk6NdLSIiiiMM7UREREEmzcoHJGDbuqP4+p3jgAAmz2dwp/ZpcqjY+PtdKD/uCewLHipA1sA+0a4WERHFGYZ2IiKiECbNzIckSfj8X0fwdeFxCCH8l4gjakujXcXG3xWj4mQ9EhKNuOGhicgawMBORETtx9BOREQURsGMgZAk4LM3jmDHuycgNOCyhQzu1LpGm4oNvytC5SkbEpKMWPBQATL7J0W7WkREFKcY2omIiFoxcfpASLKET/95GDvfOwEhBKbeOJTBnUJqsDmxYVUxqk7bYOnjCewZ/RjYiYjowjG0ExERtWHCdQMgSRL+/b/foOj9kxACuPwmBncK1FDvxIZVRag6Y4cl2YSFDxUgPS8x2tUiIqI4x9BOREQUgfHX9ockAZ+89g2KN5+EEAJX3DyMwZ0AAI46T2CvPmuHNcWEhcsKkJbLwE5ERB3H0E5ERBShcdf0hyRL+PjVQ9j1wSkITeBb3x7O4N7L2WubsGFlEc6XOpCYYsLC5ZOQmmONdrWIiKiHYGgnIiJqh4uu6gdJArb+/RB2f3gaQgBXfofBvbey1zRh/coi1JQ5kJRmxoJlBUjNZmAnIqLOw9BORETUTmOv7AdJkvDR3w9iz0enAU3gyltGMLj3MrbzTVi/cidqyxuQlG7GwmWTkJJliXa1iIioh2FoJyIiugBjvpUHSQY+/NtB7Pn4DIQArrplBCSZwb03qK9uxPqVRairaECf9AQsXF6A5EwGdiIi6nwM7URERBdo9OV5ACR8+LcD2PvJGQghcPWikQzuPVxdVQM2rCxCXWUjkjMTsGBZAZIzGNiJiKhrMLQTERF1wOjL+0KSgS2vHMC+f5+FEMA1tzK491R1lQ1Y/1wR6qsbkZxlwcJlBeiTnhDtahERUQ/G0E5ERNRBoy7rC0mSsOXl/dj/6VkIIXDtbaMY3HuY2goH1q8sgq26CSnZnsCelMbATkREXYuhnYiIqBOMnJILSQI+WLsfBz47ByGA677H4N5T1JQ7sGFlEWznm5CaY8XCZQVITDVHu1pERNQLMLQTERF1khGTcyFJEja/tA8HPz8HaALXfn80ZAb3uFZT5sD653bCXutEWq4VC5YVIDGFgZ2IiLoHQzsREVEnGn5pDiABm1/aj4NflHpG3BczuMer86V2rH+uCI46J9LzErHgoQJYk03RrhYREfUiDO1ERESdbPglOZAkCe+/uA+HtpdCCIFpS8YwuMeZ6rN2rF9VhIY6JzL6eQK7pQ8DOxERdS852hVozeOPPw5JkgK+Ro0a5d/f2NiI++67DxkZGUhKSsLNN9+MsrKyKNaYiIjIY9jF2Zj1w7GQZQnffFmGD9buh+bWol0tilDVGRvWr9zpCez9k7BgGQM7ERFFR0yHdgAYO3Yszp075//69NNP/fuWLVuGt956C6+//jo+/vhjnD17FjfddFMUa0tERNRs6KRszLrzIsiyhMNflWEzg3tcqDxdj/Uri9BQryJzQBIWPlQASxIDOxERRUfMT483GAzIzc1tsb22thYvvvgiXn31VVx33XUAgLVr12L06NH44osvcNlll3V3VYmIiFoYUpCFWXddhPde2IsjX5dDaMCMpWOgKDHfb94rVZysx4bfFaHJ7kJ2fh/Mf3AiEhKN0a4WERH1YjEf2g8fPoy8vDwkJCRg6tSpeOqppzBw4EDs2LEDqqpi+vTp/rKjRo3CwIEDsW3btlZDe1NTE5qamvz36+rqAACqqkJV1a57MR3kq1ss15HYTvGAbRQfelI7DRibihlLR2PziwdwdGc5NM2NaUtGQe4Bwb0ntVPFyXoUrtmLJocLWfl9MOfei6CY4v+19aQ26snYTvGB7RT74qmNIq2jJIQQXVyXC/buu+/CZrNh5MiROHfuHFasWIEzZ85g7969eOutt3DHHXcEhG8AmDx5Mq699lr8+te/Dnvcxx9/HCtWrGix/dVXX4XVau3010FERAQADeUKqnZaACEhIUdFxsRGSPGf23sEZ42Miq+sEC4JplQ3Mi9xQOYAOxERdSGHw4Fbb70VtbW1SE5ODlsupkN7sJqaGuTn5+O5556DxWK54NAeaqR9wIABqKysbPWHFW2qqmLz5s2YMWMGjEZ+kohVbKfYxzaKDz21nU7uq8b7/7Mfmktg0PgMTLtjFBRD/Cb3ntBOZSV1KPzjXqiNbuQMScacu8fCZIn5yYgR6wlt1BuwneID2yn2xVMb1dXVITMzs83QHlf/kVJTUzFixAgcOXIEM2bMgNPpRE1NDVJTU/1lysrKQp4Dr2c2m2E2m1tsNxqNMd+wQPzUs7djO8U+tlF86GntNHRiDubeY8C7f9qD47ursGXtIcy+8yIoxvgN7kD8ttO5o7X+wN53WAquv38CTAlx9fEoYvHaRr0N2yk+sJ1iXzy0UaT1i6tPCDabDUePHkXfvn1x8cUXw2g0YsuWLf79hw4dwsmTJzF16tQo1pKIiKh1+WMzMPfecVCMMo7vrsSmv+yBW+Wq8t3t7JEavPX7YqiNbvQbkYr5D0zssYGdiIjiV0yH9ocffhgff/wxjh8/js8//xw33ngjFEXBokWLkJKSgqVLl2L58uX46KOPsGPHDtxxxx2YOnUqV44nIqKYN3BMBubdM94T3PdU4d0/74FLdUe7Wr3GmW/O463Vu6A2udFvZBrm3T8BRrMS7WoRERG1ENOh/fTp01i0aBFGjhyJ73znO8jIyMAXX3yBrKwsAMDKlStx/fXX4+abb8ZVV12F3NxcrFu3Lsq1JiIiisyAMemYd994GIwyTuytwrvPM7h3h9OHzuPtP+yCq8mN/qPSMO++8TCaGNiJiCg2xfQcsNdee63V/QkJCVizZg3WrFnTTTWKHqGqqH7+z0guK4U9JQWWfv1gyMmB3KcPJEmKdvWIiOgCDRjlCe7vrNmNk/uqUfinPZh79zgYGCK7xKkD1Sj84264VA0Dx6Zjzo/4syYiotgW06GdmrkqK1G9Zg1yAZx741/+7ZLFAmN2Ngy5uTDkZMOYkwNDdk7z9zk5MGRmQjKwqYmIYlX/Uem4/v4JeHvNLpzaX43CP+3GnHs4+tvZTu6rQuHznvUD8i/KwOwfXQSDkT9jIiKKbUxy8UKWkXzTjTi3dx/SNA2uigpotbUQDQ1wnjgB54kTrT7WkJHhCfA5Oc1hXh/ss3OgJCV23+shIqIA/UamYf4DE/DWH3bj1IHzKPzjbsy9l8G9s/hOP3C7NAwan9kjVuwnIiIPIQS0+nq4ysvRePYc+uzYAefYsTAOGxbtqnUKhvY4YczJQfaKFfi6sBAT5s6F0WiE1tAAV3k51LIyuLxfall58/fl5XCVlwNuN1wVFXBVVAB794Z9DjkpyRvqs72j9TktRu8NGRmQFH6AJCLqCnnD0zD//gl4+w+7cPrgebyzZhfm3csF0jrq+O5KvPuXPdBcAoMnZGLWnRdBMTCwExHFA7fNDpc317gqyuEqr/B/78k7nvuisdH/mL4AGkaORCJDO0WbbLHAlJ8PU35+2DLC7YarqgqusnK4ysu8Ad8b7MvLoJZ6Ar5mt0Oz2eC02eA8ejT8kyoKDFlZ3jCf2xzyvcHe971ssXTBKyYi6vnyhqd6RtxX78KZQzWe4H4fg/uFOlZcgfde2AvNLTC0IAszfjgWisLATkQUbZrD4RlYLA8M375tvi/N4Yj4mHJyMgxZWTgvSchNT+/C2ncvhvYeTlIUGLOzYczOBnBR2HKeHizfaH1zsFfLdSG/stIzal9aCldpKRqxO+zx5JQUz7n2IUbrfVPylbQ0SDI/OBERBes7LBXzH5yIt1YX48w3NXj7D7sw777xvIZ4Ox0tKsf7L+yDpgkMuyQb0+8Yw8BORNTFtKamFsE7IJh792n19REfU05MhCE72/PlG0D03fdty8qCbLFAVVXsLSzEhOnTu/BVdi/+9ycAgJKUCCVpCMxDhoQtI1wuuCorA4N9eXDIL4dwOKDV1qKpthZNhw+Hf1KjEcasLN259s3T8ptH77MhJyR0wSsmIoptfYem4IYHJ+Kt3xfj7GFPcL/+/gkM7hE6sqMc77+4D0ITGH5pDqYvGQ2ZgZ2I6IJpTifcFRXhR8W9U9fdtbURH1OyWGDIzoIxKyiA5+R4tnvvy4m9e+0t/ueniEkGA4y5uTDm5iLc5Hf/IhD68+tDBHt3VRWgqlDPnoV69myrz6ukpPiDvadXreVCekpaGi99R0Q9Tu6QFNzw4wJs/H0xzh2pxdurvcHdwn/frTn8VRk2r90PoQmMnJKL6xaPhizzfwQRUSjC6fQMzJWXQ/WH8Jah3F1TE/ExJbO5OYRne0bBjQGB3LNPTkzkZ/gI8L8+dSpJkqAkJ0NJToZ5+PCw5YSqwlVR0cqIved70dgId20t3LW1aPrmm/DPazR63vz6YO+97x+1z8mBbDZ3xcsmIuoyOYOTccOPPSPu547W4q3VxZj/wEQG9zAObS/Flpf3Qwhg1NRcXHs7AzsR9U5CVT1rW/lHwiv8C1XrQ7m7ujriY/o/c+tHxb3BXB/K5T59GMY7Ef/jU1RIRiOMeXkw5uWFLSOEgFZX12awd1dVQagq1DNnoJ450+rzctSeiOJRziBPcN/4u2KUHqvDxt8XY/6DE2FmcA9w8Itz+PCVAxACGH1FX1x72yhIDOxE1MMIl8sbxiu8U9KDQ7knkLurqwEhIjuo0QhDZqb3PPEsGPTT1f3hPAtKaio/J0cB/9tTzJIkCUpKCpSUFGDEiLDlhNPpHbUv1y2mF3Tpu7IyiKam9o3a60fqg8+156g9EXWz7PxkLHioABtWFaGspA4bf1eMGx6cALPVGO2qxYQDn5/Fh387CAhgzJV5uGbRSAZ2IoornjBeHXSeeOA0dbWiHO7KqsjDuMEAQ2Zm4OJt/tHx5kCupKZygegYxtBOcU8ymWDs1w/Gfv3ClhFCQKutDQr2gefZu8rK4K6u7vCovZSZAfOZM3BVVcGQnc0/gETUabIG9sGCZZ7gXn7cG9x/PLHXB/f9n57FR3/3BPaLru6Hq747goGdiGKG/xLMweeJB4fzqipA0yI7qKJ4wrhu5fRQoZxXa+oZGNqpV5AkCUpqKpTUVGBkB0btK8ojOtc+H8Dx369udYV8Q3aWf0o+V8gnokhlDeiDhcsKsGFlMcpP1GPDKk9wT0jsncF97ydn8PGrhwAA467tjyu/M5xTN4moW/jDuH7xtlCj5O0J47LcHMaDArl/MTdfGFeUrn2BFDMY2ol0Ih61D3Wufbkn0KulpbCfOgWD3R7xCvn+69qHu7Z9djaUjAz2lBIRACCzfx8sXF6A9SuLUHGy3j/i3tuC+56tp/HJa56O0wnXDcAV3x7GwE5EHSbcbrirq5sXbauo8AdyZ1kpBh4+gpLfPgd3ZWX7wnhGRtDibS1HyZX0dIZxaoGhnaid2jrXXlVVFBYWYs6MGZBqakKE+4qA8+1FQ0Nk17U3GJp7WH2XyggR7nv7dSyJeouMfkmeEfdVnuC+YVURFvy4AAlJvSO47/rwFD79p+dv5sQZA3H5TUMZ2ImoVQHT1CuCRsb1t22E8QQAbt8dXxgPDuIBC7plwZCRwTBOF4yhnaiLRLxCfn29Z2GRUKvke8+1d1VWAi4XXOfOwXXuXKvPKyclNU/Fz2oeuTdkN6+Qb8jIgGTg258o3nmC+ySsX1WEylM2rF9VhAUPTYQlyRTtqnWpXVtO4dPXPYF90qyBuGwhAztRbxbJAm7tPmc81Mh4VhakjAwUnziOKXPmIqFvXxgy0vmZirocf8OIoijguvbDhoUtJ1wuuCordYvmecN8ufece2+41+x2aDYbnDYbnEePhn9i/flSrZ1rn5TED8JEMS49LxELl3mmyledtmHDyiIseKgAlj49M7gXvX8Sn687AgC4eHY+piwYwr9TRD1Uy0ubtQziakU53FXV7Q/jFzgyrqoq7IWFSBg7BkZj75jZRNHH0E4UBySDAcbcXBhzc2FppZzbZvMH+ICp+OW6BfUqKwG3298Tjb17wz+v1RqwkJ4/0GfneEfuvb3Opp4ZDojiRXrfRNzoPce96owd673B3Zrcs96bOzYdxxfrjwEALpk3CJOvH8zAThSHmsN4edAibp5b1XvrrmrHpc18AxK6UXH99cU5TZ3iGUM7UQ+iJCVBSUqCeciQsGX853OVlXv+OZYFTcf3Bnytrg7C4YDzxAk4T5xo/Xm908dCn2/v2aakpvLDNVEXSstNxI3LJ2H9cztRfdbuOce9BwX3rwtLsH1jCQBg8vzBuHTe4CjXiIiCCVX1zAzUj4T7grluMbd2hXFFCTlN3ZDd/D0XcKOejqGdqJeRFAVGb8BujdbQ0HyuvX7EPmB6fjmEqsJdVQV3VRWaDhwI/7xGY/Pq+L5R+mzftPzmwC9bWptLQEStSc2xYuHySVi/sgjVZ+1Y/9xOLFhWgMQUc7SrdsGEEPjq7RJ89c5xAMCUBUNwyZxBUa0TUW+jOZ1we4O3GrSauj6gu6urIz+oojSvnJ6dDUNW4Ci573rjDONEDO1EFIZsscCUnw9Tfn7YMkIIuGtqAlbD1wd61TtV311dDaGqUM+cgXrmTOvPm5wcuIhe8Kh9dg4MmZzaRhSOJ7gXYMPKIpwvdXjOcY/T4C6EwJdvleDrwuMAgKk3DsWkWeH/JhFR+2hNTc0BPHjRNn0Yr6mJ/KDeq900T0tvDuD60XIlLY2XsiWKEEN7nHCoDjz71bMoayhD2b4ypCSkINGUiD7GPkg0JqKPKfDWILNpqetJkgRDWhoMaWnAqFFhy/l66FXv6viBq+WXB17+rq4OTXV1aDp8JPwTh1xILzvwXPucHMh9+nBKPvVKqdme4L7+OU9wX/9cERYuK0BiavwEdyEEvthwDDs3eU7PufzmYSiYMTDKtSKKD1pDQ8sA3mLKeiW02trID2o0wpCVCWNW0IJt/ltvGE9NZRgn6mRMdnGipqkGrx9+HQDwya5P2ixvMViQaExEkjGpRaBPMiYhyZTkudV/H7TNarAy8FCnkE0myP36wdivX9gyQghoAQvp6QO9bop+exbSs1g8i+cFjdpLGZlIKDkO9fRpKHl5kM3xE2SIIpWS5ZsqvxM1ZQ68+dxOLFw2CUlpsf/7LoTAtnVHUbT5JADgW98ejgnTBkS5VkTRp9ntIc8RDx4d12y2iI8pmUyhF28LOn+ca9MQRQ9De5ywGCz44dgfYt/hfcjslwmH2wGb0wab6v3yft/kbgIANLga0OBqQGVD5QU/pwQJScYkJJoSWwT8UKP7fYx9AjoAfB0EZsXMP/LUJkmSoPTpA6VPH5iHDg1bLmAhvVCj9uVlUMsroNXWQjQ0QD1xEuqJky2OMxDAieefBwAoqamBU/F1o/a+qflKejpHDijupGRZvIvTFaG2vAHrn9uJhcsLkJSWEO2qhSWEwGdvHMGuLacAAFd+dwTGX9s/yrUi6jq+Tmvn2XOwHDmC+rffgaiuDjlKrjkcER9XSkgIDOBhpqvLycn8nEZxxa254XA5YFftIb/qGutQ1FiEwdWDMT5nfLSr2ykY2uNEWkIa7p1wLwrPFGLu1LlhrwuputUWQT5UuLer9pBl7KodNqcNLuGCgEC9Wo96tb5DdTfIhoDQ7wv4wZ0B/lkAQaP+vtMAjAqvhUnBC+ldFLacbyE9T6hvHrV3VZTDWVqKuuMnYLbZIJxOuGtq4K6pQdOhQ+Gf2HeOXnYWjL5Arw/53tDPa9tTrEnOtGDhTzxT5WsrGvCmd6p8n/TYC+5CCHz6z8PY/dFpAMDVi0bgoqsZ2Ck++dd9CV60raLl6LhobAQADABQ1sZxZas17Gi4fqo6/x9RLHG6naFDtssOh+oZjPR9H6qcw+Up43A50OBqiOg5J1VOYmin2GRUjEhT0pCWkHbBxxBCoMndBJtqQ72zHnbV3vJWrYfdaW/uDPAGf31ngF21Q0DApblQ01SDmqaaDr02k2wKOdIfbgZAyPumRBhlhv/eoLWF9FRVRWFhIebMmQPZbvcuwFOmC/nN0/HV8jK4K6sAlwuuc+fgOncOja08b8C17QNG7nVT9LOzIfPa9tSNkjMsuPEnnsvB1VX4RtwnxVRwF5rAJ//7DfZ+7Fms8prbRmLsleFPqSGKFqFpcFdXhw/h3uuMuysqIVQ14uPKffqgwWJB6uBB3s7hrIBRct/ouJyY2IWvjshDExoaXA3NoVkXpm2qzXPf1XKf3WWH3WlvEcBVLfL3QqQMkgGJpkQkGhJhNVr9n/ctigXVZdUYlDyo058zWhjaqQVJkpBgSECCIQGZlswLPo4mNE/PmXcEP2zgDxrlD97u601zak5UN1ajurEdlxMJIUFJ8Lyp9aP5uvvB+0Jt52J/PUPAQnojR4QtJ1wu75R87zXtfavk665r7yovh1ZfH/m17duakp+dDSUjg1PyqdP0SU/wXw6urqIBb/52JxYuK0ByZvQvsyg0gY//cQj7/n0WkIBrvzcKY67Ii3a1qJfx/K0PPS094H6VpyM3UkpKSviRcd12t6KgsLAQY+eGn1FJ1Jrg0Wz9FHJfgPYHbl/ADgrdvs/uDa4GCIhOr2OCkhAQsH3fJxoS/QE80ZgYukzQl0k2hZxN4hucmZI7pdPrHy1MHdRlZEn2hFxTUoeO49Jc/ikxLToAvLfB24PDv121o9HtGR9tdDei0d2IqsaqDtVLv9if/tx/q2JFpaMSx3cdR3JCcsjZAAz/8UUyGGDMyYExJwetxRvN4dBd6q5lqPd9tWtKvneV/ODL4PlXzM/J4RRIilif9ATcuLx5qvz654qwcHl0g7vQBLb+/SD2f3YOkIBp3x+NUVP7Rq0+1PMIpxOuykp/6FaDQ7h3dNxdVQWICEOKJEFJT29xrnjwqLiSlRXxzCp3O0blqWfwDXDpp4kHhO6g0Wzf591wj+mK0WxZkgNGsn2B2vc51mqw+j/b+r4PDt2++1aDlZ97LxB/ahTzDLIByaZkJJuSO3QcVVP9I/z6afz1aj0cqiNsB0C9sx4OV/P+SBf727ZvW0T1Chf+Q031Z/iPbbLVCtOgQTANGhS2jP8cR12ID1xIrzxwSn5pKVylpa1PybdYQkzBz9Jd2947JZ+r5BOApDTPiPuGVUUBq8qnZHV/cNc0gY/+dgAHt5VCkoBpS8Zg5JTcbq8HxSf/Zc2CV1LvyDXGFQWGjIygxduyWwbzjAxIHA3vdYQQaHA1wKbZcLL+JJzC2WJEOzhUtxjJ1pWN9Nzs9jIr5oARaX2YDjmKHTS6rf9KUBI4MBAD+Cmfeg2jbERqQipSE1I7dBzVrbYI977v7aodtY212HVgF3Lzcz0zBFRbwP72hv9I6cN/wK0pqeV27+J+wfuTjElc8K+LBU7JHxm2nHC5PCND/nPsywOCvavCs8CeVlcH0dAQ2ZR83xTNsME+B4aMdEgG/mvo6ZLSzFi4rADrV3qCu29V+ZQsa7fVQdMEPnzlAA5t9wT26T8YgxGXMrD3dkIIaP61RkKNiDdva9dlzYxGKFmZgSunB39lZ0NJS4OkKF34Cqk7CSHg1Jwtw7Q3PAefix08TbzF9HKXHZrQPAd/q/PqqUhKxEE61Gh2cFkO5PQ8bFGidjIqRqQq4cO/qqooPF6IuZe0fk5aqPCvvx98vn+9sz7kGgG+af+dFf59vbOthf5wHQH6GQLhzjOiyEgGA4y5uTDm5rY+Jd830uS7tr33e9+IvW9BPdHUBHdtLdy1tWg6fDj8AWXZM8oUMtg3b+P1euNfYqoZC5cXYMPKIpwvdWD9c0VYsKwAqdldH9w1t4YPXj6Aw1+VQZIlzPjBGAy/JKfLn5eip3mWUYhV1IO+REPko48hL2sW4hJn/JsVP5xuZ/hFznQj1b7toc7b9gVwh+qAS0S+/kB7hAvPwdPIfYG6RQDXleXlkaktDO3xwu0Cak7ArNYAjbUAkgCDGeAbPG61Ff4jpWqqP8yHWtQv1OX9fCt76vf7pmg1uZvQ5G7q8IJ/BtkQeuQ/KOCH6hzQb7MYLJAlLsYWjmyxwDRwIEwDB4YtI4SAVlcXePk7/zXtdSP4lZWA2+3/4NwayWRqedm7oGBvzMmBbO2+kVtqv8QUs39xuvPn7Fj/W8+q8qk5XddumlvD5rX7ceTrcsiyhJk/HIuhk7K77Pmoawm327NQZ8gR8ebzyF2VlUB7VlJPTAwdxoOmqnNNj+jzDULoQ3Zw6A6ePq5flTz43G2X1jUh22Kw+IO27/zqUFPGg4N3cPg2wYQP3/8Q18+7ngsGUrdhaI8X9nIY11yM2QCw98Hm7YoZMCYAhgRPiDck6L7MzbdGS9B+M2CwBJYxJIQ4VvCt7nuZ08digVE2IsWcghRzSoeOo1/wT39Jj3DhX19G3wGgv9RfbVMtaptqO1QvCZL/n2ZrgV+/Tb9Aim+f1WjttZf7kyQJSkoKlJQUmIcPD1tOuN1wVVY1f+AuL2teWE8X7t3nz0M4nVBPn4Z6+nSrzy0nJfnDvX/xvKzsgG3tWaiJOp812YSFywqwYVURqs/avee4FyAtt/MvK+V2a9j84j4c3VkBWZEw686LMGRiVqc/D3Wc5nTC7Vu4rZVRcXdVNaBpER9XSU0NORIe/MUOv66jX2E8eIp4uFHsUCPYXR2yfTP/gke02xrhDjW13GqwQumkz62qqnIwgbodQ3u8cDshjFZAbYCkv/yCu8nzhY4FowsiG9sI+OE6DSLoEAjXqaC/Zc96p+qsBf8CVkJV7QHn9Ida1V8/5T+4c8At3BAQ/seUoaxDdfNd7i/RmAiXw4X1W9ajj6lPi9H+tmYG9NRpbJKiwJjjCdLA2LDlNKez+XzT4HBfVu6Znl9RAc1uh2azwWmzwXnsWKvPraSl+UftDdmekXspIwOJJ0+iMX8QkNfXs/ATzzXtEtZkExY81BzcfavKd2Zwd7s0vP8/+3Cs2BPYZ991EQZPYGDvbprd3ub0dFd5Bdy17fhcIctQMtIDQneo88aVzEx20LWTEAJN7qawATtc4A71va9MV4ds3xo7oaaH6/eFG/G2GCy9uqOdOoEQkDUn4FaBHjIbQhIi0mtb9Fx1dXVISUlBbW0tkpM7Fli6kqqqKHznHcydPRNGuABXE+Bq9N42eG7VBk+IVxt1+3Rl1EbPft/2cOUC7utuu+gP/QVRIugsuODbNsooZiDM9bN914acy+usdojvg0pAoA+x+n9w2Pd1Dujv+xb96yyKpLQI9L7R/ZAj/qbAaf/6r568WIzbZm8z2LvKyyEinTIry55L4OnPtw+Yks/z7Tuqod6JDauKUXXGBkuyCQsfKkB6XuvBPZK/eW5Vw6YX9uL47kooBhmzf3QRBo3L7IqX0CsJIaDV1oYN4c6yctSdOAGzwwHhcER+YKMRBu/iba1+sUPNTxOaf+q3bzTaNzIdHJ71I9YO1TPT7WzlWZgSTc37XQ64hbtL6uq7XrY+NFuMltZDtsEaeM62935vCtn8nBdE0wC305svnM05w+30fEWyLeDWdxxniG2hbkMcw3vpO/fsZ6Bc9qMo/4BaF2kO7bmfFnsqSQIUI2CM0rQxt6u5U8AdFOgDOgAaPG+mUME/ks4BfweEM/B+qFkGnZvHIqeYQgZ6RTbiijoHlJqXQswwCNUhkBD2WK12IMiGHj3bQJIkJBgSkGBIQKalYx/ugxf9q2mowcfbPsaYCWPg0BwhR/uDOwb0U//dwo06Zx3qnHWAvWOvM/gDUfDU/1CLAYZaCyAWL8miJCVCSRoM85DBYcu0dgk8tawMVUeOILGpyXP9ZE3zl2lNwPn2wYvpZTVPy5cTO3/6d7yz9DFhwbKJnuB+2ob1K3diwbICZOQlXfAxXaobm/6yFyf2VEExyJh7zzgMHJvRibXuucKeLx48Rb2iss3OLxOa/4NKVmvoMJ7Z+xZvc2musCPSwaE6eHRbH6w79RJedaE3+/5fhDsvO/j/SWuB22Kw9OhO4x5JCM/IcUCoDfV9k6dccNi94G1thOdYGtAL5u7869ZHC9+t1D6KwfNlisKHXd8fq5AdAMH3dbfuNjoPgjsHwnUetOg08P4RC+o0kAFkAkDJoS7+gUjtD/otOgeC7ivmVvb57uueI046DoIX/VNVFaXGUswaNKtdveS+EZTgxfwCgn7QmgD+lf91H+psThucmhNA563677tcTLhgbzVYA87vD1nOe9udl/1r7RJ4qqqiyDuaYZAkuKqq/Ze786yWX+afyutbMd9dUxP5+fa+ha5ChXvfV1ZWr7u+vSXJM8K+4XdFqDxlw4aVRVjwUAEy+rU/uLtUN959fg9O7quGYpQx797xGDA6vQtqHV/8p5hUlPsXaeuM88XllJSQYVxKT8fXR4/iiuuvR0LfPChJ8dlh5btGtj4shwrQwedj6xc9Cwjjqt3/t7izyZLcPAptaDky3SJ8G61IkBKwf9d+XHXZVUi2JAecp81FWbuRpnnDqxOhwrHU5EC67RCkkkQAmm60t7VArRsJbvX7Vkal3V3zu9rpZKPnM6Ji8t4amz9f+rcF35o9nzsVU4ht+luzrowp7HFVIeP9Dz/GzIsXoKfMAWJop/ghSd4gGaXz4YTw9CaG7QDwBH9Xkx07v9yGSePHwCBczYFff1qC/1bfWaCbnRCqE0Ft8E/38VbI+5hO6NW/UJLcRmdAgu4Pb1udASE6HQL2hdmmmLqt40CWZP8Hr47yLQRkU21wqA5/sPed9x/yXP+gzgJfGd/of72zHvXO+g7XzSSbAoJ+8EyAsMHf5FkMyPeYzlz4RzIYdOfbh6c1NXlWrNZNyW9eTK/5PHzNZoNmt8NZUgJnSUmrx/Rf3163Wr7vvHv/towMSD1ommRCkhELHirAxt8Vo+JkPdZ7g3tm/8iDu8vpRuGfduPUgfMwGGXMu288+o/quYE94PriFRVwVYYbGa+E1sHzxQPOHfedL97Kgo6qqqKhsBCmQYOgdOPvqe/qJgHnWOvOtfZPIw86/7rFOdm60W6Brjmr0ygbQ4bqcN/7ppIHnI9t8E4vv8DZT6qqQtuv4ZKcS3r+tOuQwdgZFFRDjCT7R4GDy4Y5VovwG+Y4+u/bGDk2ALgSAFq5emq3kJSgENtKoA3Y5r1tc1uIx4Z6jD6YK6awp492K1WFS7F66tVDMLQTRcp3aoJiBMx9whYTqopzh90Q4+Z2/uIXvvOGws0oaE/nQPDpDfoyLY6hu6/vOBAaoDo8X9GkBAf+4ICvC/qKGYpsxPgzpZA/2AaYrLpOBTMCOxlaP07AtnbOOjApJpgUE9IS0jr00n0jT3bVjnq1PiDs+4K+vjNAP9Vf3xngcDn80zqdmhPVjdWoRscu+wc0T+cMdT5/qO36DgGzZEadVge7akeyITmiUSbZbIapfz+Y+vdrtZxmtzefX19RoQv3Zc3hvqwMwumM7Pr2kgQlI8N7nn3gOfb6gK+kp0OKhQ80EUhINOKGH0/0B/cNK4tww0MTkTUg/N8/H9XpRuEfd+P0wfMwmBVcf9949BvRsd/1aBGaBvf5857R8FDXGNeNkrfr+uJGY/MCba2dN95N54v7ZhJFMnKtH61ubZuqdd3U1IDFzkKMaPsWM9OvLK4vExzCu3OGUbcQQhdeVV0wVUOPIvvLhAu2auiwG3DcdoTlLjpPv0v4gqv3Sygm2BudSExJh9QiLLcRdAO+NzZ/nlCCR6cj2MarOPUqDO1E8USWATnBc2m+aNE0bydBU/jAH7DmQVAnQ0CnQ1unMoSaeeB9Dr12rm8gAxgMAJVbOvEHIwWG+FY7AiLoGGgxoyD04yWDGVbFDKvBhKzEfh2aeeA7tzP4K9Ql/nwj/nZX4MJ/DtWBerXevzpxZ0z/f+b1ZyBBClj8KNxof7ip/8HnecqJiTAPHgzz4NbPt9dqa1uM0vum6OtDP9xuuCsr4a6sRNP+A+FfjMHgWUzPdwm8rOyWU/SzsyGnpMTEucQJiUYseMgT3MtP1GPDqiIs+HEBsgaGD+5qkxvvrNmFM9/UwGhWcP39E5A3PLX7Kh0h4XS2PF+8PMRU9aoqwBX5OZtyYqIudIcP4x1pY/008Qa1oXmxs6CA7evQszXZ8I3jG3z86cdwuD2PCR7d7pRzscMIHsUONYLdWqAOHuFOMCREf6q45g4RaJ26UBsUYlsE2JbbZbURY08fgrxpKyBc4UNzuKCsP34Xdph0CdmoC7T6kdzgKdPGVgKvbrS3xVTrMMcJ+XxBzx30PnWpKrZwITrqZgztRNQ+suwZnYY1enXQzzjwfXjxB/+mlh0CQaHf7XTg8MF9GD54ABRNDewMCDiWM0zngbPlrIOA0xWicAlGPSVc50DQfX3HgGKCwZCAFIMJKf5OA32HghkwJAHmDCBR3zFhCizjPb5TkmB3N8HmCuoACDHirw/8wVcLsKt2aNAgIPxlO0qWZM/qyN7p/Ppp/b5TAnzhwN8RMDAJiUP7IdE0wl823WCFxWABhIC7ujrwmvZBIV8tL/cspudywVVaCldpKRpbqWPIxfSygwN+NpSkC18gLlJmqxE3PFSAt35fjLKSOrz5251IybYElKmttWLd3iLIsoSGehX11Y0wJiiY/8BE9B2a0uV11HPb7HAHT00PMUrurqlp13GVdO8U9czgIB54P/j64kIIODWndzaMN1g7j8Nx1vt9mKnhwSPe+qnkFzxN/GTbRXzvD/3Ub33QDjlNXDeqbTVYWzyuXaPYvlPRgkOo6gQaqwD3uaCg2kaIDSgTYps+CIc9VlBgdjs9M806mQJgGABUdPqhPVOpg8NswIhw8OivKURA1m8LcSx/GA4+VqjH6PbLxtiYUk0UwxjaiSj+dHDGgaaqOFRbiKHXze3Y+Z2+c/JaC/bBMxLCdgzoFp4JnlWgP0VBf1/fcaEX7SsrwLNStQkS0nyzB4JPJwhYNEZfJhkwZAEmM9x9DPim5CQGjBiFRoMCuyTBJgk4ANjghg0aHMINu3DBpqmwa07YNRV2d5P3qwF2VyNsLkfA+f+a0FCv1qNe7fj5/yE7AFITkZiViMSJiUg0DkSicbSnA0CyoI/djeRaF6y1jTDXOGCqtsNQXQdUVkNUVLV/MT2rtUWQbxHws7IgWyytHqctZosB8x+ciLdXF6P0WB0qT9mCSiiorGveZkpQMP/Bicgd0jmBXWia5yoDvtHw4MXbKpvPF2/XJc18Mx90ARwZ6XCnJ8OVmoimtEQ0pCTAkWyEQzhDhOqzaHAdhcPugKPWAcfBoJFu74h2V12yC0CLqeG+AK0PzmbZjFNHTqFgzDj0MVqRqJhglY1IlI2wSAZYJQMSJQVWKDALAUlTWw/AqhNobATc9REG49a+D7EtHgUH4YCAqgutSvCIcvN+t6Tg6InTGDp8FBRTQojHmFseK1RQbhGgOZWaKN71mNC+Zs0a/OY3v0FpaSkmTJiA1atXY/LkydGuVqeptjvxyL92oaxUxnv1u6AoCmQJkCUJkvdWlgAJEmTZsyKz7N/eXEYCIMshHiP5HuPb13xf/zyBx/Xcl4Lvw3tf9twCzfXwlAk8dov7AfUJvA14Hfr7rdUJ3vuyrm4SAP3Px3c8GSGP7auT/udA5Pklt3gu7RdNvnMX2zqlIFzngW+hn+A1DfTHDNd5EFwmYAGfji2WqAAYDQClG5AE71UZOvJjUsxoMJphN5hgN5hhN5pgU4ywKwrsssF7K3s6B2TALkmwQ4MNAg64YRdu2IQbDqHCrqkQQMc6AEwAcr1faO4ASEYechvNyHEYkWGXkW4DUuo1JNepSKx1wlLTAPN5OxRHEzSHA87jx+E8frzVp5KTk5vDfFZzmA8O++EWMgM8wX3hTyah9Ggt3C4NEJ7rabhdLnz51Ve49JJLoXjPvc7OT4Y1OfyxfDSnE+4WK6dXtjxfvJ1T1DWLGa60JDhTE9GYaoEj2QxbHwPqkw2oSZJQnQhUWl2oNjlhdzfA4apCg3q6OWC7AVR5vzqRRTbBIpv8odkqGWGVDbBKCqySAVbIsEoyrJCRKCRYAVgEkCgELJpAoqYhUdNg1TRY3S4kaC7IjSpgdwLuGsBdETIgC7fTE8QPdu7r6TYBi12ZQofUUCFWNrYc2Q0Iyrr74cJvuNHp4GN1wucCTVVxoLAQg6/uYIcyEfU4PSK0/+///i+WL1+O559/HlOmTMGqVaswa9YsHDp0CNnZ2dGuXqdwOF14b385ABnF1WXRrg4BgR0K8IV5T7B3uxT8YueHITsfgObOCl+HgRSiA8KzPdRztOxAkNqoj+/WU+/Qz6HvrAi5zfs9gh4bXI+wr0u3DwGdM83fI8QxZM8PLWSHDYLq5/8Zt1J3CYCmubGnQoJafBYGg6FF/f0/P91r0B8/oEzQ43wdQsHH8D0Oobaj+fX4jyMHH6P5sXKIunoea4QkmSAhCZIBkAzNj9fXKfjxaPH7GHhchPu56H5//PzneTaF6EDwhf82Og6801PdagNOHv0G+f1yIQtXmLJNIY7lnd4adE6n5G6C1d0EK4CsdrzXQ9EANEoSbLIMmyzBIcmwy577DlmCXZL939u8++yy59bh3WeXZThkGTYJEJLU3AGAepxRAPTxfoVhdipItQHpNiDNJpBe77lNswFpNiDDBqTVC5hVQKurg7OuDs4jR1t/XclJQGY6lOxMGLOzYc7pC0tuP5h0l8LLG5QO+BZGkySoLhf2lLgwcGw6jEajfxX1pmNn/OFbrShHU3kpmspLoZaXQ6usgqg6D6kueMS+dbZEGbWJEs4nAVVWDeeTgPNJEmqSgBrv9vNJQJPJDc9pKrWhDyQA2L1fYVgEYIEEixBI1ACrELB6Q7NFc8PqdsOquWAVAomaZ5+vjP9WE0gUGiyagEWIqF16KHSclIKmPAeH3OCA6xuxNbQ8RzhkGA436mvUXRIq1HOYA48hK912hRAiolglCSG65toZ3WjKlCm49NJL8Yc//AEAoGkaBgwYgAceeAA///nP23x8XV0dUlJSUFtbi+Tk5K6u7gWxNbnwxtcnsXfvXowZMxaSLEMT3oWShIAm4LnVBIR39MO3PaCM5jkLTugeI3yP1ZVv3ua5RdB9zyYBTfPeDzpm8HFa3AJw6+oiROj6iqDHeF6jd3vAMZofJwD/z0H/OE8Zb7119SGijgsZ5n0dAggf+qG/H7wPgNPZBLPZ3Gqniv/5g/bJEDBBhREqTHDB5L91tthuFCrMkgqjcOn2qf59xqDv9bcmOGEUKgy6bQZfGd02GaHPgRUAGiQpRMCXYZMkT7D3bfPu92+TvB0D3n0OWYJbH3CEgMXpCfFp9d5gb/d+b9OF/HrAFKXFnF0yUJMEnE8EapI8wdsXwPVhvDYRcCuhw5vFG5CtIvDWEhSiEzUREKwt3ttE/+M9+y40YAtIcMsmaJIBmmyEWzJCkw3e+ya4ZSM02QhN8t16tmuyp7zvMUI2wi0bISSD7jG+sp77IqC89zkVY/N+qfl7F2TsPXAEoy4aB9lo9e73dbwEvgb9XX2HXOD2oMeEaBYp6MAXkruDZ7UFHyKSYwbXo+VzRHKMNvZ3Up+Cy+XGzp07MWnSJBgM7fsN7KzPM20dJpLnCV5vIfgxkVS1rXgSanebz9tKPfTPJ8IU8h3f7XZj9+49GDduHOQQV3Zo+TwiYLsIKhhYj7brFFAmzGsIfL7Qzy9CvLaWP7PWHysg2nxdkdTD33Yt9rU8vr58qJ+XAOB2azhx4gTunjcZ3xqRg1gWaQ6N+5F2p9OJHTt24JFHHvFvk2UZ06dPx7Zt20I+pqmpCU1NzSd71tXVAfBcH1NVY3O1TbMMfKcgF2mVezDj4r5crbITBXdk+DoEgjsb9B0h0HdgQN9p4Pk9+venn2Lq5VfAYDAEdHwEdxgEdyJAtN3RAF1dfPUSWss6A9B1gkD3GnWPC3ptvtchgh6LUD8P3WvXd9x47nv/oIaqa1BHTPjt+sc0b0fQc+h/Ri2OG/AcvrYD3JqGyspKpGdkeD5tRVSfwNcU/LuBkD8PAAhR3zDloXtufXmEOG5gXQLbGMGvw1+XrqN/XbqtnXBkCfVqR89xlQAYvV/Ro8Ct6zhQYZZcMMMZ2KEg6fYH3feVyfZuM+s7I6TmzgZJUuFWXBCSClV2wSW74JLdcFrccCYKNMkammSBChk47j0dwC7JcKsyDHYJJocMsx2w2iWkeEft02yekJ9qAwwRrr/lMAM1iQgI4bWJgD0RaLQKOK0CLquAZNJghT5cC6QJDXmaZ0q4SZNgbpBgtMswCRkGTYZRU2DQFCiaAlkocCMBqjDA012ieG893zuFES7vNicMOA8DysOWNejue7a5hOdxTgTtE57HuqCgCUaoMEBDrCympcGzqIV+YYs04ETrayRQLFDw0je7ol0JapOC147tj3YlqFUyrj5biymD06NdkVZFmj3jPrRXVlbC7XYjJyewFyUnJwcHD4Y+eeupp57CihUrWmx///33YQ1a9TUWbd68OdpVoDZkJgCHd34W7WrAO1M7Zj5GhiQF3XaXbKBrluiNbf5wDQSE+eDv/be+8K97fHCZcMcIiO/BjwuqR3AZodsRSblQZVp0HwhAeH/RQj023GsO3q7f1mKEoc2yRggYAVhClg1+jYDn9OoG71dwB0yo8uF+9sH1hKbBABcMQkWGcEGRVShJLhiSVBiEC4pQoYkmVEoNKEMjNDTCjQbIzgZIAp73rHcFbd/bV3h7xtxGEyQlATLMkIQZMkyQtASkSCYkwQi35Am7LrcBrgYDXDDAJXkCdYWkwAUD3JICzaA01znEz1r/Mwz4eYQq09Yxgn5W+n36Lp9wx/LcBvZohDteq9vCtFe4LrBIn6PF8drxuLaer63jtPWQC+lUbPmQlv9EurqzMnQ9uu4YnfFvslOOEdFBWn9VkRyirecJtbszZkW0ViTgtLF2PDbc84b8CNTO5wg90yWorBR0v7Xjt1U2zP4Wz9vacULsi6TO+n2hfnbB+x2nD6CwsJXLsMYAR4SLp8Z9aL8QjzzyCJYvX+6/X1dXhwEDBmDmzJkxOz0e8PTEbN68GTNmzOBIewxjO8U+tlF8YDvFB7ZT7GMbxQe2U3xgO8W+eGoj34zvtsR9aM/MzISiKCgrC1ycraysDLm5uSEfYzabYTabW2w3Go0x37BA/NSzt2M7xT62UXxgO8UHtlPsYxvFB7ZTfGA7xb54aKNI6xfTs2YjYTKZcPHFF2PLli3+bZqmYcuWLZg6dWoUa0ZERERERETUMXE/0g4Ay5cvx+LFi3HJJZdg8uTJWLVqFex2O+64445oV42IiIiIiIjogvWI0P7d734XFRUVePTRR1FaWoqJEydi06ZNLRanIyIiIiIiIoonPSK0A8D999+P+++/P9rVICIiIiIiIuo0cX9OOxEREREREVFPxdBOREREREREFKMY2omIiIiIiIhiFEM7ERERERERUYxiaCciIiIiIiKKUQztRERERERERDGKoZ2IiIiIiIgoRjG0ExEREREREcUohnYiIiIiIiKiGMXQTkRERERERBSjGNqJiIiIiIiIYhRDOxEREREREVGMYmgnIiIiIiIiilGGaFcgFgghAAB1dXVRrknrVFWFw+FAXV0djEZjtKtDYbCdYh/bKD6wneID2yn2sY3iA9spPrCdYl88tZEvf/ryaDgM7QDq6+sBAAMGDIhyTYiIiIiIiKg3qa+vR0pKStj9kmgr1vcCmqbh7Nmz6NOnDyRJinZ1wqqrq8OAAQNw6tQpJCcnR7s6FAbbKfaxjeID2yk+sJ1iH9soPrCd4gPbKfbFUxsJIVBfX4+8vDzIcvgz1znSDkCWZfTv3z/a1YhYcnJyzP8CEtspHrCN4gPbKT6wnWIf2yg+sJ3iA9sp9sVLG7U2wu7DheiIiIiIiIiIYhRDOxEREREREVGMYmiPI2azGY899hjMZnO0q0KtYDvFPrZRfGA7xQe2U+xjG8UHtlN8YDvFvp7YRlyIjoiIiIiIiChGcaSdiIiIiIiIKEYxtBMRERERERHFKIZ2IiIiIiIiohjF0E5EREREREQUoxjaY8j/+T//B5dffjmsVitSU1MjeowQAo8++ij69u0Li8WC6dOn4/DhwwFlqqurcdtttyE5ORmpqalYunQpbDZbF7yC3qG9P8/jx49DkqSQX6+//rq/XKj9r732Wne8pB7pQn7vr7nmmhZtcPfddweUOXnyJObNmwer1Yrs7Gz89Kc/hcvl6sqX0mO1t42qq6vxwAMPYOTIkbBYLBg4cCAefPBB1NbWBpTje6lj1qxZg0GDBiEhIQFTpkzBl19+2Wr5119/HaNGjUJCQgLGjRuHwsLCgP2R/J+i9mtPO73wwgu48sorkZaWhrS0NEyfPr1F+SVLlrR438yePburX0aP1552evnll1u0QUJCQkAZvp86X3vaKNTnBEmSMG/ePH8Zvpc63yeffIL58+cjLy8PkiRh/fr1bT5m69atmDRpEsxmM4YNG4aXX365RZn2/r+LKkEx49FHHxXPPfecWL58uUhJSYnoMU8//bRISUkR69evF7t27RI33HCDGDx4sGhoaPCXmT17tpgwYYL44osvxL///W8xbNgwsWjRoi56FT1fe3+eLpdLnDt3LuBrxYoVIikpSdTX1/vLARBr164NKKdvR2qfC/m9v/rqq8Wdd94Z0Aa1tbX+/S6XS1x00UVi+vTpoqioSBQWForMzEzxyCOPdPXL6ZHa20Z79uwRN910k9i4caM4cuSI2LJlixg+fLi4+eabA8rxvXThXnvtNWEymcRLL70k9u3bJ+68806RmpoqysrKQpb/7LPPhKIo4plnnhH79+8Xv/zlL4XRaBR79uzxl4nk/xS1T3vb6dZbbxVr1qwRRUVF4sCBA2LJkiUiJSVFnD592l9m8eLFYvbs2QHvm+rq6u56ST1Se9tp7dq1Ijk5OaANSktLA8rw/dS52ttGVVVVAe2zd+9eoSiKWLt2rb8M30udr7CwUPziF78Q69atEwDEm2++2Wr5Y8eOCavVKpYvXy72798vVq9eLRRFEZs2bfKXaW/bRxtDewxau3ZtRKFd0zSRm5srfvOb3/i31dTUCLPZLP7xj38IIYTYv3+/ACC++uorf5l3331XSJIkzpw50+l17+k66+c5ceJE8YMf/CBgWyR/hCgyF9pOV199tfjxj38cdn9hYaGQZTngQ9Sf/vQnkZycLJqamjql7r1FZ72X/vnPfwqTySRUVfVv43vpwk2ePFncd999/vtut1vk5eWJp556KmT573znO2LevHkB26ZMmSJ+9KMfCSEi+z9F7dfedgrmcrlEnz59xCuvvOLftnjxYrFgwYLOrmqv1t52auvzH99Pna+j76WVK1eKPn36CJvN5t/G91LXiuR//H/+53+KsWPHBmz77ne/K2bNmuW/39G2726cHh/HSkpKUFpaiunTp/u3paSkYMqUKdi2bRsAYNu2bUhNTcUll1ziLzN9+nTIsozt27d3e53jXWf8PHfs2IHi4mIsXbq0xb777rsPmZmZmDx5Ml566SUIITqt7r1JR9rp73//OzIzM3HRRRfhkUcegcPhCDjuuHHjkJOT4982a9Ys1NXVYd++fZ3/QnqwzvrbVFtbi+TkZBgMhoDtfC+1n9PpxI4dOwL+p8iyjOnTp/v/pwTbtm1bQHnA857wlY/k/xS1z4W0UzCHwwFVVZGenh6wfevWrcjOzsbIkSNxzz33oKqqqlPr3ptcaDvZbDbk5+djwIABWLBgQcD/Fr6fOldnvJdefPFF3HLLLUhMTAzYzvdSdLX1v6kz2r67GdouQrGqtLQUAAIChO++b19paSmys7MD9hsMBqSnp/vLUOQ64+f54osvYvTo0bj88ssDtj/xxBO47rrrYLVa8f777+Pee++FzWbDgw8+2Gn17y0utJ1uvfVW5OfnIy8vD7t378bPfvYzHDp0COvWrfMfN9T7zbePItcZ76XKyko8+eSTuOuuuwK28710YSorK+F2u0P+jh88eDDkY8K9J/T/g3zbwpWh9rmQdgr2s5/9DHl5eQEfWGfPno2bbroJgwcPxtGjR/Ff//VfmDNnDrZt2wZFUTr1NfQGF9JOI0eOxEsvvYTx48ejtrYWzz77LC6//HLs27cP/fv35/upk3X0vfTll19i7969ePHFFwO2870UfeH+N9XV1aGhoQHnz5/v8N/R7sbQ3sV+/vOf49e//nWrZQ4cOIBRo0Z1U40olEjbqaMaGhrw6quv4le/+lWLffptBQUFsNvt+M1vfsOgodPV7aQPf+PGjUPfvn0xbdo0HD16FEOHDr3g4/Ym3fVeqqurw7x58zBmzBg8/vjjAfv4XiIK7+mnn8Zrr72GrVu3Bixydsstt/i/HzduHMaPH4+hQ4di69atmDZtWjSq2utMnToVU6dO9d+//PLLMXr0aPz5z3/Gk08+GcWaUSgvvvgixo0bh8mTJwds53uJugJDexf7yU9+giVLlrRaZsiQIRd07NzcXABAWVkZ+vbt699eVlaGiRMn+suUl5cHPM7lcqG6utr/eIq8nTr683zjjTfgcDjw/e9/v82yU6ZMwZNPPommpiaYzeY2y/cG3dVOPlOmTAEAHDlyBEOHDkVubm6LlUXLysoAgO8nr+5oo/r6esyePRt9+vTBm2++CaPR2Gp5vpcik5mZCUVR/L/TPmVlZWHbJDc3t9Xykfyfova5kHbyefbZZ/H000/jgw8+wPjx41stO2TIEGRmZuLIkSMMGhegI+3kYzQaUVBQgCNHjgDg+6mzdaSN7HY7XnvtNTzxxBNtPg/fS90v3P+m5ORkWCwWKIrS4fdnd+M57V0sKysLo0aNavXLZDJd0LEHDx6M3NxcbNmyxb+trq4O27dv9/fUTp06FTU1NdixY4e/zIcffghN0/yBhCJvp47+PF988UXccMMNyMrKarNscXEx0tLSGDJ0uqudfIqLiwHA/+Fo6tSp2LNnT0DY3Lx5M5KTkzFmzJjOeZFxrqvbqK6uDjNnzoTJZMLGjRtbXA4pFL6XImMymXDxxRcH/E/RNA1btmwJGP3Tmzp1akB5wPOe8JWP5P8Utc+FtBMAPPPMM3jyySexadOmgLUkwjl9+jSqqqoCwiFF7kLbSc/tdmPPnj3+NuD7qXN1pI1ef/11NDU14Xvf+16bz8P3Uvdr639TZ7w/u120V8KjZidOnBBFRUX+y4EVFRWJoqKigMuCjRw5Uqxbt85//+mnnxapqaliw4YNYvfu3WLBggUhL/lWUFAgtm/fLj799FMxfPhwXvKtA9r6eZ4+fVqMHDlSbN++PeBxhw8fFpIkiXfffbfFMTdu3CheeOEFsWfPHnH48GHxxz/+UVitVvHoo492+evpqdrbTkeOHBFPPPGE+Prrr0VJSYnYsGGDGDJkiLjqqqv8j/Fd8m3mzJmiuLhYbNq0SWRlZfGSbxeovW1UW1srpkyZIsaNGyeOHDkScDkdl8slhOB7qaNee+01YTabxcsvvyz2798v7rrrLpGamuq/YsLtt98ufv7zn/vLf/bZZ8JgMIhnn31WHDhwQDz22GMhL/nW1v8pap/2ttPTTz8tTCaTeOONNwLeN77PF/X19eLhhx8W27ZtEyUlJeKDDz4QkyZNEsOHDxeNjY1ReY09QXvbacWKFeK9994TR48eFTt27BC33HKLSEhIEPv27fOX4fupc7W3jXy+9a1vie9+97sttvO91DXq6+v9uQiAeO6550RRUZE4ceKEEEKIn//85+L222/3l/dd8u2nP/2pOHDggFizZk3IS7611vaxhqE9hixevFgAaPH10Ucf+cvAe/1hH03TxK9+9SuRk5MjzGazmDZtmjh06FDAcauqqsSiRYtEUlKSSE5OFnfccUdARwC1T1s/z5KSkhbtJoQQjzzyiBgwYIBwu90tjvnuu++KiRMniqSkJJGYmCgmTJggnn/++ZBlKTLtbaeTJ0+Kq666SqSnpwuz2SyGDRsmfvrTnwZcp10IIY4fPy7mzJkjLBaLyMzMFD/5yU8CLjdGkWtvG3300Uch/0YCECUlJUIIvpc6w+rVq8XAgQOFyWQSkydPFl988YV/39VXXy0WL14cUP6f//ynGDFihDCZTGLs2LHinXfeCdgfyf8par/2tFN+fn7I981jjz0mhBDC4XCImTNniqysLGE0GkV+fr648847Y/bDazxpTzs99NBD/rI5OTli7ty5YufOnQHH4/up87X3b97BgwcFAPH++++3OBbfS10j3P9/X9ssXrxYXH311S0eM3HiRGEymcSQIUMC8pNPa20fayQheB0cIiIiIiIioljEc9qJiIiIiIiIYhRDOxEREREREVGMYmgnIiIiIiIiilEM7UREREREREQxiqGdiIiIiIiIKEYxtBMRERERERHFKIZ2IiIiIiIiohjF0E5EREREREQUoxjaiYiI4pQkSVi/fn20q9EpBg0ahFWrVkW7GkRERDGHoZ2IiCgGVVRU4J577sHAgQNhNpuRm5uLWbNm4bPPPot21QKMGzcOd999d8h9f/vb32A2m1FZWdnNtSIiIuo5GNqJiIhi0M0334yioiK88sor+Oabb7Bx40Zcc801qKqqinbVAixduhSvvfYaGhoaWuxbu3YtbrjhBmRmZkahZkRERD0DQzsREVGMqampwb///W/8+te/xrXXXov8/HxMnjwZjzzyCG644Yawj9uzZw+uu+46WCwWZGRk4K677oLNZvPvX7JkCRYuXIgVK1YgKysLycnJuPvuu+F0Ov1lNE3DU089hcGDB8NisWDChAl44403wj7n9773PTQ0NOBf//pXwPaSkhJs3boVS5cuxdGjR7FgwQLk5OQgKSkJl156KT744IOwxzx+/DgkSUJxcXHAz0SSJGzdutW/be/evZgzZw6SkpKQk5OD22+/PWBU/4033sC4ceP8P4/p06fDbreHfV4iIqJYxNBOREQUY5KSkpCUlIT169ejqakposfY7XbMmjULaWlp+Oqrr/D666/jgw8+wP333x9QbsuWLThw4AC2bt2Kf/zjH1i3bh1WrFjh3//UU0/hr3/9K55//nns27cPy5Ytw/e+9z18/PHHIZ83MzMTCxYswEsvvRSw/eWXX0b//v0xc+ZM2Gw2zJ07F1u2bEFRURFmz56N+fPn4+TJk+38yTSrqanBddddh4KCAnz99dfYtGkTysrK8J3vfAcAcO7cOSxatAg/+MEP/K/3pptughDigp+TiIgoKgQRERHFnDfeeEOkpaWJhIQEcfnll4tHHnlE7Nq1K6AMAPHmm28KIYT4y1/+ItLS0oTNZvPvf+edd4Qsy6K0tFQIIcTixYtFenq6sNvt/jJ/+tOfRFJSknC73aKxsVFYrVbx+eefBzzP0qVLxaJFi8LWddOmTUKSJHHs2DEhhBCapon8/Hzxy1/+Muxjxo4dK1avXu2/n5+fL1auXCmEEKKkpEQAEEVFRf7958+fFwDERx99JIQQ4sknnxQzZ84MOOapU6cEAHHo0CGxY8cOAUAcP348bB2IiIjiAUfaiYiIYtDNN9+Ms2fPYuPGjZg9eza2bt2KSZMm4eWXXw5Z/sCBA5gwYQISExP926644gpomoZDhw75t02YMAFWq9V/f+rUqbDZbDh16hSOHDkCh8OBGTNm+Ef7k5KS8Ne//hVHjx4NW9cZM2agf//+WLt2LQDPaP7Jkydxxx13AABsNhsefvhhjB49GqmpqUhKSsKBAwc6NNK+a9cufPTRRwH1HDVqFADg6NGjmDBhAqZNm4Zx48bh29/+Nl544QWcP3/+gp+PiIgoWgzRrgARERGFlpCQgBkzZmDGjBn41a9+hR/+8Id47LHHsGTJki55Pt/57++88w769esXsM9sNod9nCzLWLJkCV555RU8/vjjWLt2La699loMGTIEAPDwww9j8+bNePbZZzFs2DBYLBb8x3/8R8C59MHHAxAwlV1V1RZ1nT9/Pn7961+3eHzfvn2hKAo2b96Mzz//HO+//z5Wr16NX/ziF9i+fTsGDx4cwU+DiIgoNnCknYiIKE6MGTMm7EJqo0ePxq5duwL2f/bZZ5BlGSNHjvRv27VrV8BK71988QWSkpIwYMAAjBkzBmazGSdPnsSwYcMCvgYMGNBq3e644w6cOnUK69atw5tvvomlS5cG1GPJkiW48cYbMW7cOOTm5uL48eNhj5WVlQXAc166j35ROgCYNGkS9u3bh0GDBrWoq2+2gSRJuOKKK7BixQoUFRXBZDLhzTffbPV1EBERxRqGdiIiohhTVVWF6667Dv/v//0/7N69GyUlJXj99dfxzDPPYMGCBSEfc9tttyEhIQGLFy/G3r178dFHH+GBBx7A7bffjpycHH85p9OJpUuXYv/+/SgsLMRjjz2G+++/H7Iso0+fPnj44YexbNkyvPLKKzh69Ch27tyJ1atX45VXXmm1zoMHD8Z1112Hu+66C2azGTfddJN/3/Dhw7Fu3ToUFxdj165duPXWW6FpWthjWSwWXHbZZXj66adx4MABfPzxx/jlL38ZUOa+++5DdXU1Fi1ahK+++gpHjx7Fe++9hzvuuANutxvbt2/H//2//xdff/01Tp48iXXr1qGiogKjR4+OpAmIiIhiBqfHExERxZikpCRMmTIFK1euxNGjR6GqKgYMGIA777wT//Vf/xXyMVarFe+99x5+/OMf49JLL4XVasXNN9+M5557LqDctGnTMHz4cFx11VVoamrCokWL8Pjjj/v3P/nkk8jKysJTTz2FY8eOITU1FZMmTQr7vHpLly7Fli1bcO+99yIhIcG//bnnnsMPfvADXH755cjMzMTPfvYz1NXVtXqsl156CUuXLsXFF1+MkSNH4plnnsHMmTP9+/Py8vDZZ5/hZz/7GWbOnImmpibk5+dj9uzZkGUZycnJ+OSTT7Bq1SrU1dUhPz8fv/3tbzFnzpw2XwcREVEskYTgtU+IiIh6gyVLlqCmpgbr16+PdlWIiIgoQpweT0RERERERBSjGNqJiIiIiIiIYhSnxxMRERERERHFKI60ExEREREREcUohnYiIiIiIiKiGMXQTkRERERERBSjGNqJiIiIiIiIYhRDOxEREREREVGMYmgnIiIiIiIiilEM7UREREREREQxiqGdiIiIiIiIKEb9f4hvKqY9/djeAAAAAElFTkSuQmCC", + "image/png": 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", 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" ] @@ -191,7 +191,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/Regularization/usingLibs/Ridge_ass1.py b/Regularization/playground/Ridge_ass1.py similarity index 100% rename from Regularization/usingLibs/Ridge_ass1.py rename to Regularization/playground/Ridge_ass1.py diff --git a/Regularization/playground/model-cross-ridge.ipynb b/Regularization/playground/model-cross-ridge.ipynb new file mode 100644 index 0000000..2edd644 --- /dev/null +++ b/Regularization/playground/model-cross-ridge.ipynb @@ -0,0 +1,206 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Version library Ridge\n", + "- ลองใช้ Library ของ Ridge Regression" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.linear_model import LinearRegression, Ridge\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- ใช้ข้อมูลในการสุ่มขึ้นมา\n", + "- ใช้ weight และ size เป็นข้อมูลสำหรับการ train model" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "# สร้างข้อมูลจำลอง\n", + "np.random.seed(30)\n", + "weight = 2 * np.random.rand(50, 1) \n", + "size = 4 + 3 * weight + np.random.randn(50, 1)\n", + "#weight = feature ที่ใช้ในการ predict ของ size\n", + "#size = ข้อมูล dependent variable" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- หา Sum of Squared Residuals ของ Linear Regression โดยการหาผลรวมกำลังสองของ Residual(size - linear_fit)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Linear Regression residuals: 47.43\n" + ] + } + ], + "source": [ + "# การถดถอยเชิงเส้น (Linear Regression)\n", + "linear_reg = LinearRegression() \n", + "linear_reg.fit(weight, size) # use W,Z to train model\n", + "linear_fit = linear_reg.predict(weight) # ค่าที่ predict ได้จาก LinearRegression\n", + "linear_residuals = np.sum((size - linear_fit)**2)\n", + "print(f'Linear Regression residuals: {linear_residuals:.2f}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- ลองใช้ Library Ridge โดย Library จะหาเส้นจากค่า lamda ที่กำหนด ที่ fit ที่สุดกับ data อยู่แล้ว\n", + "

\n", + "![Lib-Ridge-1](image/Ridge-lib-1.png)\n", + "
\n", + "

\n", + "![Lib-Ridge-2](image/Ridge-lib-2.png)\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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YtWoVjI2Ny92Hrq4uAMkHoaenJ5e4c3NzcerUKQwaNAhqampyaZOqF8dM+XDMlA/HTPlwzJQPx0z5cMyUD8dM+dTGMUtLS4OJiYk0Hy2JQhPyjIwM2NjY4LPPPoO7u7vMsczMTNy8eRMBAQGwsbHBq1evMHv2bAwfPhw3btwodx8F09T19PTkmpBraWlBT0+v1gw4lY5jpnw4ZsqHY6Z8OGbKh2OmfDhmyodjpnxq85iV9di0QhNyFxcXuLi4FHtMX18fp0+flimLiIhA9+7dkZSUBFNT05oIkYiIiIiIiKhaKNUz5G/evIFAIEDDhg1LrJOdnY3s7Gzp67S0NACSqya5ublyiaOgHXm1R9WPY6Z8OGbKh2OmfDhmyodjpnw4ZsqHY6Z8auOYlTcWgVgsFldzLOUiEAhkniF/X1ZWFnr16oV27dph3759JbYTHByMkJCQIuX79++HlpaWvMIlIiIiIiIiKlZmZibGjh2LN2/elProtFIk5Lm5uRg5ciT++OMPXLhwodQ3VNwdchMTE/z9998lnicWi5Gfn4/8/HyU5+PIy8vD5cuX0bNnT6iqKtUkg3qLY6Z8FDVmAoEAQqEQQqGQWyVWUG5uLk6fPo2BAwfWuue3qHgcM+XDMVM+HDPlwzFTPrVxzNLS0tCkSZMyE/Jan5nk5uZi9OjRePLkCc6dO1fmwmzq6upQV1cvUq6mplbs4OTk5CA1NRWZmZnljkksFsPQ0BCpqan8D7uS4JgpH0WPmZaWFoyMjNCgQYMa71vZlfT3LdVeHDPlwzFTPhwz5cMxUz61aczKG0etTsgLkvGHDx/i/Pnz+OCDD+TavkgkQkJCAoRCIYyNjdGgQYNy/cdfJBLh7du30NHRKXWTd6o9OGbKR1FjJhaLkZOTg7/++gsJCQmwsLDgd4aIiIiIqoVCE/K3b98iPj5e+johIQFxcXFo3LgxjIyM4OHhgZs3b+L48ePIz8/H06dPAQCNGzeWy12rnJwciEQimJiYVOj5cpFIhJycHGhoaPA/6kqCY6Z8FDlmmpqaUFNTw5MnT6QxEBERERHJm0IT8hs3bqBfv37S1/PmzQMAeHp6Ijg4GEePHgUAdO7cWea88+fPo2/fvnKLgwkaEb2Pfy8QERERUXVTaELet2/fUhdRqyXrzRERERERERHJHW8BERERERERESkAE/I6KjExEQKBAHFxcSXWuXDhAgQCAV6/fl1jcdU1AoEAR44cqdY+goODizy2UVMU2TcRERERUV3HhFwJTZw4EQKBAAKBAGpqajAzM4Ovry+ysrKkdUxMTJCamooOHTooMFKJ4OBgabxCoRAmJibw9vbGy5cvFR1alaWmpsLFxUXRYdR533zzDdq1awcNDQ107NgR0dHRig6JiIiIiKjKmJArKWdnZ6SmpuLx48dYt24dIiMjERQUJD0uFAphaGgIVdXasbOdtbU1UlNTkZSUhF27duHEiROYNm1atfYpFouRl5dXrX0YGhoWu+89yc/ly5fxySefYPLkybh16xbc3Nzg5uaGu3fvKjo0IiIiIqIqYUJeiFgsRmZOXrl+vcvJL3fd8vyq6AJ26urqMDQ0hImJCdzc3ODk5ITTp09Ljxc3ZT06Ohpt27aFpqYm+vXrh8TExCLtbt++XboN3EcffYSwsDA0bNhQps73338PW1tbaGhowNzcHCEhIWUmvqqqqjA0NETz5s3h5OSEUaNGycQLADt27ICVlRU0NDTQrl07bN68Web45cuX0blzZ2hoaMDOzg5HjhyReY8FU/BjYmLQtWtXqKur49KlSxCJRFi1ahVsbGygra0NGxsbHDp0SNruq1evMG7cOBgYGEBTUxMWFhbYtWsXAMnWeDNmzICRkRE0NDTQsmVLrFy5Unru+1PW79y5g/79+0NTUxMffPABvL298fbtW+nxiRMnws3NDaGhoTAyMsIHH3yA6dOnIzc3t9TPr7Dr169j4MCBaNKkCfT19eHo6IibN2/K1BEIBIiMjMTQoUOhpaUFKysrXLlyBfHx8ejbty+0tbXRs2dPPHr0SOa8VatWoVmzZtDV1cXkyZNlZl2Ut29527BhA5ydneHj4wMrKyssW7YMtra2iIiIqNZ+iYiIiKiWyc8HLlwA/vtfye/5+YqOqMpqx+3TWuJdbj7aB55USN/3lg6GVoPKDcfdu3dx+fJltGzZssQ6ycnJcHd3x/Tp0+Ht7Y0bN25g/vz5MnViY2MxdepUrF69GsOHD8eZM2cQEBAgU+fixYuYMGECNmzYAAcHBzx69Aje3t4AIHOHvjSJiYk4efKkzF7y+/btQ2BgICIiItClSxfcunULU6ZMgba2Njw9PZGWloZhw4bB1dUV+/fvx5MnTzBnzpxi2/fz80NoaCjMzc3RqFEjrFy5Env37kVYWBhsbGxw6dIlfPrppzAwMICjoyMCAgJw7949xMTEoEmTJoiPj8e7d+8ASJLBo0eP4uDBgzA1NUVycjKSk5OL7TcjIwODBw+Gvb09rl+/jufPn8PLywszZsxAVFSUtN758+dhZGSE8+fPIz4+HmPGjEHnzp0xZcqUcn1+6enp8PT0xMaNGyEWi7F27Vq4urri4cOH0NXVldZbtmwZwsLCEBYWhoULF2Ls2LEwNzfHokWLYGpqis8++wwzZsxATEwMAODgwYMIDg7Gpk2b0Lt3b+zZswcbNmyAubl5hfsubN++ffj8889LfU8xMTFwcHAo9tjPP/8s3RKxwODBg6v92X0iIiIiqkUOHwZmzwb++OPfshYtgPXrgWHDFBdXFTEhV1LHjx+Hjo4O8vLykJ2dDRUVlVLvGG7ZsgWtW7fG2rVrAQCWlpa4c+cOVq9eLa2zceNGuLi4YMGCBQCAtm3b4vLlyzh+/Li0TkhICPz8/ODp6QkAMDc3x7Jly+Dr61tqQn7nzh3o6OggPz9fetc1LCxMejwoKAhr166Fu7s7AMDMzAz37t1DZGQkPD09sX//fggEAmzfvh0aGhpo3749UlJSik1ily5dioEDBwIAsrOzsWLFCpw6dQrW1tbQ09NDmzZtcOnSJURGRsLR0RFJSUno0qUL7OzsAACtWrWStpWUlAQLCwv07t0bAoGg1Ise+/fvR1ZWFnbv3g1tbW0AQEREBIYNG4bVq1ejWbNmAIBGjRohIiICQqEQ7dq1w5AhQ3D27NlyJ+T9+/eXeb1t2zY0bNgQP/74I4YOHSotnzRpEkaPHg0AWLhwIezt7REQEIDBgwcDAGbPno1JkyZJ64eHh2Py5MmYPHkyAGD58uU4c+aMzF3y8vZd2PDhw9GjR49S31Pz5s1LPPb06VPpZ1egWbNmePr0aaltEhEREVEdcfgw4OEBvD+rOCUF8PCA4MABQEkfI2VCXoimmhD3lg4us55IJEJ6Wjp09XShoiKfWf+aasIK1e/Xrx+2bNmCjIwMrFu3Dqqqqhg5cmSJ9e/fv18kKbK3t5d5/eDBA3z00UcyZd27d5dJyG/fvo3Y2Fh8+eWX0rKCJDszMxNaWlrF9m9paYmjR48iKysLe/fuRVxcHGbOnAlAcmf50aNHmDx5skxSmpeXB319fWlsnTp1goaGhkxsxSlIrAEgPj4emZmZ0iS0QE5ODrp06QIAmDZtGkaOHImbN29i0KBBcHNzQ8+ePQFIppgPHDgQlpaWcHZ2xtChQzFo0KBi+71//750WnyBXr16QSQS4cGDB9Kk0traGkLhv+NtZGSEO3fuFNtmcZ49ewZ/f39cuHABz58/R35+PjIzM5GUlCRTr1OnTtI/F/TdsWNHmbKsrCykpaVBT08P9+/fx9SpU2XasLe3x/nz5yvcd2G6urol3j0nIiIiIipVfr7kznhxj/iKxYBAAOH8+ZI75UqICXkhAoGgXNPGRSIR8hoIodVAVW4JeUVpa2ujTZs2AICvvvoKNjY22Llzp/TuZnV5+/YtQkJCpHeyCyucLL+vQYMG0nhXrVqFIUOGICQkBMuWLZM+Y719+/YiFw0KJ67lVTghLmj72LFj0NfXh46OjnTMChZjc3FxwZMnTxAdHY3Tp09jwIABmD59OkJDQ2Fra4uEhATExMTgzJkzGD16NJycnGSeQa8oNTU1mdcCgQAikajc53t6euLFixdYv349WrZsCXV1ddjb2yMnJ6fEfgQCQYll1dF3YVWdsm5oaIhnz57JlD179gyGhobljpuIiIiIlNTFi7LT1N8nFkPwxx/44N49pZy6zoS8DlBRUcHixYsxb948jB07FpqamkXqWFlZ4ejRozJlP//8s8xrS0tLXL9+Xabs/de2trZ48OCBNLmuLH9/f/Tv3x/Tpk2DsbExjI2N8fjxY4wbN67Y+paWlti7dy+ys7OlifT7sRWnffv2UFdXR1JSEkaMGAE9Pb1iL6IYGBjA09MTnp6ecHBwgI+PD0JDQwEAenp6GDNmDMaMGQMPDw84Ozvj5cuXaNy4sUwbVlZWiIqKQkZGhvSiQGxsLFRUVGBpaVmhz6c0sbGx2Lx5M1xdXQFI1gf4+++/q9yulZUVrl69igkTJkjL3v+OVKbvqk5Z//DDD3H27FmZNQNOnz5dZIYHEREREdVBqanlqqbx6lU1B1I9mJDXEaNGjYKPjw82bdokfQa8sKlTp2Lt2rXw8fGBl5cXfvnlF5mFxgBg5syZ6NOnD8LCwjBs2DCcO3cOMTEx0jupABAYGIihQ4fC1NQUHh4eUFFRwe3bt3H37l0sX7683PHa29ujU6dOWLFiBSIiIhASEoJZs2ZBX18fzs7OyM7Oxo0bN/Dq1SvphYYlS5bA29sbfn5+SEpKkibMheN7n66uLhYsWID58+cjMzMTTk5OSE9PR2xsLPT09ODp6YnAwEB07doV1tbWyM7OxvHjx2FlZQVA8py7kZERunTpAhUVFXzzzTcwNDQssvI8AIwbNw5BQUHw9PREcHAw/vrrL8ycORPjx48v8gx0VVhYWGDPnj2ws7NDWloafHx8ir0IU1GzZ8/GxIkTYWdnh169emHfvn349ddfZRZ1q0zfVZ2yPmvWLPTr1w9r167FkCFDcODAAdy4cQPbtm2rdJtEREREpCSMjMpVLatRo2oOpHpw27M6QlVVFTNmzMCaNWuQkZFR5LipqSm+/fZbHDlyBDY2Nti6dStWrFghU6dXr17YunWrdDXyEydOYO7cuTJT0QcPHozjx4/j1KlT6NatGz788EOsW7eu1MXOSjJ37lzs2LEDycnJ8PLywo4dO7Br1y507NgRjo6OiIqKgpmZGQDJXepjx44hLi4OnTt3xpIlSxAYGAig9KnygGS1cX9/f6xbtw7W1tZwdnbGDz/8IG27QYMGWLRoETp16oQ+ffpAKBTiwIEDACTJ5Jo1a2BnZ4du3bohMTER0dHRxd5l19LSwsmTJ/Hy5Ut069YNHh4eGDBggNy359q5cydevXoFW1tbjB8/HrNmzULTpk2r3O6YMWMQEBAAX19fdO3aFU+ePCmyV3x19V2anj17Yv/+/di2bZt0y7ojR46gQ4cO1dovEREREdUCDg6S1dRLugknEEDcogVetG9fs3HJiUBc0Q2wlUxaWhr09fXx5s0b6OnpyRzLyspCQkICzMzMykzqChOJRNKFsBT1DHlNmTJlCn777TdcvHhR0aEUsW/fPkyaNAlv3rwp8y5tfRqzukLRY1bZvx/qs9zcXERHR8PV1bXIWglUO3HMlA/HTPlwzJQPx6wWKlhlHZBd3O2fJD3vwAH8oK5eq8astDy0MGYmJCM0NBS3b99GfHw8Nm7ciK+//lq6xZmi7d69G5cuXUJCQgKOHDmChQsXYvTo0XKZrk1ERERERLWUuztw6BDw/rpDLVoAhw5B/N5OUcqEz5CTjGvXrmHNmjVIT0+Hubk5NmzYAC8vL0WHBUCyH3VgYCCePn0KIyMjjBo1Smb7NSIiIiIiqqPc3YERIySrrqemSp4td3AAhEIgN1fR0VUaE3KScfDgQUWHUCJfX1/4+voqOgwiIiIiIlIEoRDo21fRUcgVp6wTERERERERKQATciIiIiIiIiIFYEJOREREREREpABMyImIiIiIiIgUgAk5ERERERERkQIwISciIiIiIiJSACbkdVRiYiIEAgHi4uJKrHPhwgUIBAK8fv26xuKqawQCAY4cOVKtfQQHB6Nz587V2kdt7JuIiIiIqK5jQq6EJk6cCIFAAIFAADU1NZiZmcHX1xdZWVnSOiYmJkhNTUWHDh0UGKlEcHCwNF6hUAgTExN4e3vj5cuXig6tylJTU+Hi4qLoMOq0X3/9FSNHjkSrVq0gEAgQHh5ebL1NmzahVatW0NDQQI8ePXDt2rWaDZSIiIiIqIKYkCspZ2dnpKam4vHjx1i3bh0iIyMRFBQkPS4UCmFoaAhVVVUFRvkva2trpKamIikpCbt27cKJEycwbdq0au1TLBYjLy+vWvswNDSEurp6tfZR32VmZsLc3ByrVq2CoaFhsXX+7//+D/PmzUNQUBBu3rwJGxsbDB48GM+fP6/haImIiIiIyo8JeWFiMZCTUb5fuZnlr1ueX2JxhUJVV1eHoaEhTExM4ObmBicnJ5w+fVp6vLgp69HR0Wjbti00NTXRr18/JCYmFml3+/btMDExgZaWFj766COEhYWhYcOGMnW+//572NraQkNDA+bm5ggJCSkz8VVVVYWhoSGaN28OJycnjBo1SiZeANixYwesrKygoaGBdu3aYfPmzTLHL1++jM6dO0NDQwN2dnY4cuSIzHssmIIfExODrl27Ql1dHZcuXYJIJMKqVatgY2MDbW1t2NjY4NChQ9J2X716hXHjxsHAwACampqwsLDArl27AAA5OTmYMWMGjIyMoKGhgZYtW2LlypXSc9+fsn7nzh30798fmpqa+OCDD+Dt7Y23b99Kj0+cOBFubm4IDQ2FkZERPvjgA0yfPh25ubmlfn6FXb9+HQMHDkSTJk2gr68PR0dH3Lx5U6aOQCBAZGQkhg4dCi0tLVhZWeHKlSuIj49H3759oa2tjZ49e+LRo0cy561atQrNmjWDrq4uJk+eLDProrx9y1u3bt3wn//8Bx9//HGJFz/CwsIwZcoUTJo0Ce3bt8fWrVuhpaWFr776qlpjIyIiIiKqitpx+7S2yM0EVhiXWU0FQEN59734T6CBdqVOvXv3Li5fvoyWLVuWWCc5ORnu7u6YPn06vL29cePGDcyfP1+mTmxsLKZOnYrVq1dj+PDhOHPmDAICAmTqXLx4ERMmTMCGDRvg4OCAR48ewdvbGwBk7tCXJjExESdPnkSDBg2kZfv27UNgYCAiIiLQpUsX3Lp1C1OmTIG2tjY8PT2RlpaGYcOGwdXVFfv378eTJ08wZ86cYtv38/NDaGgozM3N0ahRI6xcuRJ79+5FWFgYbGxscOnSJXz66acwMDCAo6MjAgICcO/ePcTExKBJkyaIj4/Hu3fvAAAbNmzA0aNHcfDgQZiamiI5ORnJycnF9puRkYHBgwfD3t4e169fx/Pnz+Hl5YUZM2YgKipKWu/8+fMwMjLC+fPnER8fjzFjxqBz586YMmVKuT6/9PR0eHp6YuPGjRCLxVi7di1cXV3x8OFD6OrqSustW7YMYWFhCAsLw8KFCzF27FiYm5tj0aJFMDU1xWeffYYZM2YgJiYGAHDw4EEEBwdj06ZN6N27N/bs2YMNGzbA3Ny8wn0Xtm/fPnz++eelvqeYmBg4ODiU6/2/LycnB7/88gsWLVokLVNRUYGTkxOuXLlSqTaJiIiIiGoCE3Ildfz4cejo6CAvLw/Z2dlQUVFBREREifW3bNmC1q1bY+3atQAAS0tL3LlzB6tXr5bW2bhxI1xcXLBgwQIAQNu2bXH58mUcP35cWickJAR+fn7w9PQEAJibm2PZsmXw9fUtNSG/c+cOdHR0kJ+fL73rGhYWJj0eFBSEtWvXwt3dHQBgZmaGe/fuITIyEp6enti/fz8EAgG2b98ODQ0NtG/fHikpKcUmsUuXLsXAgQMBANnZ2VixYgVOnToFa2tr6OnpoU2bNrh06RIiIyPh6OiIpKQkdOnSBXZ2dgCAVq1aSdtKSkqChYUFevfuDYFAUOpFj/379yMrKwu7d++Gtrbk4kpERASGDRuG1atXo1mzZgCARo0aISIiAkKhEO3atcOQIUNw9uzZcifk/fv3l3m9bds2NGzYED/++COGDh0qLZ80aRJGjx4NAFi4cCHs7e0REBCAwYMHAwBmz56NSZMmSeuHh4dj8uTJmDx5MgBg+fLlOHPmjMxd8vL2Xdjw4cPRo0ePUt9T8+bNy3rbJfr777+Rn58v/XwLNGvWDL/99lul2yUiIiIiqm5MyAtT05LcqS6DSCRCWno69HR1oaIip1n/aloVqt6vXz9s2bIFGRkZWLduHVRVVTFy5MgS69+/f79IUmRvby/z+sGDB/joo49kyrp37y6TkN++fRuxsbH48ssvpWUFSXZmZia0tIp/H5aWljh69CiysrKwd+9exMXFYebMmQAkd5YfPXqEyZMnyySleXl50NfXl8bWqVMnaGhoyMRWnILEGgDi4+ORmZkpTUIL5OTkoEuXLgCAadOmYeTIkbh58yYGDRoENzc39OzZE4BkivnAgQNhaWkJZ2dnDB06FIMGDSq23/v370unxRfo1asXRCIRHjx4IE0Yra2tIRQKpXWMjIxw586dYtsszrNnz+Dv748LFy7g+fPnyM/PR2ZmJpKSkmTqderUSfrngr47duwoU5aVlYW0tDTo6enh/v37mDp1qkwb9vb2OH/+fIX7LkxXV7fEu+dERERERPUZE/LCBILyTRsXiQC1fEldeSXkFaStrY02bdoAAL766ivY2Nhg586d0rub1eXt27cICQmR3skurHCy/L4GDRpI4121ahWGDBmCkJAQLFu2TPqM9fbt24tcNCicuJZX4YS4oO1jx45BX18fOjo60osoBc8ju7i44MmTJ4iOjsbp06cxYMAATJ8+HaGhobC1tUVCQgJiYmJw5swZjB49Gk5OTjLPoFeUmpqazGuBQACRSFTu8z09PfHixQusX78eLVu2hLq6Ouzt7ZGTk1NiPwKBoMSy6ui7sOqest6kSRMIhUI8e/ZMpvzZs2clLgJHRERERFQbMCGvA1RUVLB48WLMmzcPY8eOhaamZpE6VlZWOHr0qEzZzz//LPPa0tIS169flyl7/7WtrS0ePHggTa4ry9/fH/3798e0adNgbGwMY2NjPH78GOPGjSu2vqWlJfbu3Yvs7GxpIv1+bMVp37491NXVkZSUhBEjRkBPT6/YWQ0GBgbw9PSEp6cnHBwc4OPjg9DQUACAnp4exowZgzFjxsDDwwPOzs54+fIlGjduLNOGlZUVoqKikJGRIb0oEBsbCxUVFVhaWlbo8ylNbGwsNm/eDFdXVwCS9QH+/vvvKrdrZWWFq1evYsKECdKy978jlem7uqesN2jQAF27dsXZs2fh5uYGQHKR4ezZs5gxY0al2yUiIiIiqm5MyOuIUaNGwcfHB5s2bZI+A17Y1KlTsXbtWvj4+MDLywu//PKLzEJjADBz5kz06dMHYWFhGDZsGM6dO4eYmBjpnVQACAwMxNChQ2FqagoPDw+oqKjg9u3buHv3LpYvX17ueO3t7dGpUyesWLECERERCAkJwaxZs6Cvrw9nZ2dkZ2fjxo0bePXqlfRCw5IlS+Dt7Q0/Pz8kJSVJE+bC8b1PV1cXCxYswPz585GZmQknJyekp6cjNjYWenp68PT0RGBgILp27Qpra2tkZ2fj+PHjsLKyAiB5zt3IyAhdunSBiooKvvnmGxgaGhZZeR4Axo0bh6CgIHh6eiI4OBh//fUXZs6cifHjxxd5vrkqLCwssGfPHtjZ2SEtLQ0+Pj7FXoSpqNmzZ2PixImws7NDr169sG/fPvz6668yi7pVpu+qTlnPycmRPguek5ODlJQUxMXFQUdHR3phaN68efD09ISdnR26d++O8PBwZGRkyDwjT0RERERU23DbszpCVVUVM2bMwJo1a5CRkVHkuKmpKb799lscOXIENjY22Lp1K1asWCFTp1evXti6dat0NfITJ05g7ty5MlPRBw8ejOPHj+PUqVPo1q0bPvzwQ6xbt67Uxc5KMnfuXOzYsQPJycnw8vLCjh07sGvXLnTs2BGOjo6IioqCmZkZAMld6mPHjiEuLg6dO3fGkiVLEBgYCKD0qfKAZLVxf39/rFu3DtbW1nB2dsYPP/wgbbtBgwZYtGgROnXqhD59+kAoFOLAgQMAJMnkmjVrYGdnh27duiExMRHR0dHF3mXX0tLCyZMn8fLlS3Tr1g0eHh4YMGBAqYvtVcbOnTvx6tUr2NraYvz48Zg1axaaNm1a5XbHjBmDgIAA+Pr6omvXrnjy5EmRveKrq+/S/Pnnn+jSpQu6dOmC1NRUhIaGokuXLvDy8pKJPTQ0FIGBgejcuTPi4uJw4sQJuV4IISIiIiKSN4FYXMENsJVMWloa9PX18ebNG+jp6ckcy8rKQkJCAszMzMpM6goTiUTShbDktqhbLTVlyhT89ttvuHjxoqJDKWLfvn2YNGkS3rx5U+Zd2vo0ZnWFosessn8/1Ge5ubmIjo6Gq6trkbUSqHbimCkfjpny4ZgpH46Z8qmNY1ZaHloYp6yTjNDQUAwcOBDa2tqIiYnB119/jc2bNys6LADA7t27YW5ujubNm+P27dtYuHAhRo8eLZfp2kRERERERDWNCTnJuHbtGtasWYP09HSYm5tjw4YNMlODFenp06cIDAzE06dPYWRkhFGjRslsv0ZERERERKRMmJCTjIMHDyo6hBL5+vrC19dX0WEQERERERHJBR+mJSIiIiIiIlIAJuRERERERERECsCEnIiIiIiIiEgBmJATERERERERKQATciIiIiIiIiIFYEJOREREREREpABMyOuoxMRECAQCxMXFlVjnwoULEAgEeP36dY3FVdcIBAIcOXKkWvsIDg5G586dq7WP2tg3EREREVFdx4RcCU2cOBECgQACgQBqamowMzODr68vsrKypHVMTEyQmpqKDh06KDBSieDgYGm8QqEQJiYm8Pb2xsuXLxUdWpWlpqbCxcVF0WHUadu3b4eDgwMaNWqERo0awcnJCdeuXZOpIxaLERgYCCMjI2hqasLJyQkPHz5UUMREREREROXDhFxJOTs7IzU1FY8fP8a6desQGRmJoKAg6XGhUAhDQ0OoqqoqMMp/WVtbIzU1FUlJSdi1axdOnDiBadOmVWufYrEYeXl51dqHoaEh1NXVq7WP+u7HH3/EJ598gvPnz+PKlSswMTHBoEGDkJKSIq2zZs0abNiwAVu3bsXVq1ehra2NwYMHy1ykIiIiIiKqbZiQFyIWi5GZm1muX+/y3pW7bnl+icXiCsWqrq4OQ0NDmJiYwM3NDU5OTjh9+rT0eHFT1qOjo9G2bVtoamqiX79+SExMLNLu9u3bYWJiAi0tLXz00UcICwtDw4YNZep8//33sLW1hYaGBszNzRESElJm4quqqgpDQ0M0b94cTk5OGDVqlEy8ALBjxw5YWVlBQ0MD7dq1w+bNm2WOX758GZ07d4aGhgbs7Oxw5MgRmfdYMAU/JiYGXbt2hbq6Oi5dugSRSIRVq1bBxsYG2trasLGxwaFDh6Ttvnr1CuPGjYOBgQE0NTVhYWGBXbt2AQBycnIwY8YMGBkZQUNDAy1btsTKlSul574/Zf3OnTvo378/NDU18cEHH8Db2xtv376VHp84cSLc3NwQGhoKIyMjfPDBB5g+fTpyc3NL/fwKu379OgYOHIgmTZpAX18fjo6OuHnzpkwdgUCAyMhIDB06FFpaWrCyssKVK1cQHx+Pvn37QltbGz179sSjR49kzlu1ahWaNWsGXV1dTJ48uUhCW56+5W3v3r344osv0LlzZ7Rr1w47duyASCTC2bNnAUh+bsPDw+Hv748RI0agU6dO2L17N/78889qf5yAiIiIiKgqasft01riXd479NjfQyF9Xx17FVpqWpU69+7du7h8+TJatmxZYp3k5GS4u7tj+vTp8Pb2xo0bNzB//nyZOrGxsZg6dSpWr16N4cOH48yZMwgICJCpc/HiRUyYMAEbNmyAg4MDHj16BG9vbwCQuUNfmsTERJw8eRINGjSQlu3btw+BgYGIiIhAly5dcOvWLUyZMgXa2trw9PREWloahg0bBldXV+zfvx9PnjzBnDlzim3fz88PoaGhMDc3R6NGjbBy5Urs3bsXYWFhsLGxwaVLl/Dpp5/CwMAAjo6OCAgIwL179xATE4MmTZogPj4e7969AwBs2LABR48excGDB2Fqaork5GQkJycX229GRgYGDx4Me3t7XL9+Hc+fP4eXlxdmzJiBqKgoab3z58/DyMgI58+fR3x8PMaMGYPOnTtjypQp5fr80tPT4enpiY0bN0IsFmPt2rVwdXXFw4cPoaurK623bNkyhIWFISwsDAsXLsTYsWNhbm6ORYsWwdTUFJ999hlmzJiBmJgYAMDBgwcRHByMTZs2oXfv3tizZw82bNgAc3PzCvdd2L59+/D555+X+p5iYmLg4OBQrvefmZmJ3NxcNG7cGACQkJCAp0+fwsnJSVpHX18fPXr0wJUrV/Dxxx+Xq10iIiIioprGhFxJHT9+HDo6OsjLy0N2djZUVFQQERFRYv0tW7agdevWWLt2LQDA0tISd+7cwerVq6V1Nm7cCBcXFyxYsAAA0LZtW1y+fBnHjx+X1gkJCYGfnx88PT0BAObm5li2bBl8fX1LTcjv3LkDHR0d5OfnS++6hoWFSY8HBQVh7dq1cHd3BwCYmZnh3r17iIyMhKenJ/bv3w+BQIDt27dDQ0MD7du3R0pKSrFJ7NKlSzFw4EAAQHZ2NlasWIFTp07B2toaenp6aNOmDS5duoTIyEg4OjoiKSkJXbp0gZ2dHQCgVatW0raSkpJgYWGB3r17QyAQlHrRY//+/cjKysLu3buhra0NAIiIiMCwYcOwevVqNGvWDADQqFEjREREQCgUol27dhgyZAjOnj1b7oS8f//+Mq+3bduGhg0b4scff8TQoUOl5ZMmTcLo0aMBAAsXLoS9vT0CAgIwePBgAMDs2bMxadIkaf3w8HBMnjwZkydPBgAsX74cZ86ckblLXt6+Cxs+fDh69Cj9Qlfz5s3LettSCxcuhLGxsTQBf/r0KQBIP98CzZo1kx4jIiIiIqqNmJAXoqmqiatjr5ZZTyQSIT09Hbq6ulBRkc+sf01VzQrV79evH7Zs2YKMjAysW7cOqqqqGDlyZIn179+/XyQpsre3l3n94MEDfPTRRzJl3bt3l0nIb9++jdjYWHz55ZfSsoIkOzMzE1paxd/lt7S0xNGjR5GVlYW9e/ciLi4OM2fOBCC5s/zo0SNMnjxZJinNy8uDvr6+NLZOnTpBQ0NDJrbiFCTWABAfH4/MzExpElogJycHXbp0AQBMmzYNI0eOxM2bNzFo0CC4ubmhZ8+eACRTzAcOHAhLS0s4Oztj6NChGDRoULH93r9/XzotvkCvXr0gEonw4MEDacJobW0NoVAorWNkZIQ7d+4U22Zxnj17Bn9/f1y4cAHPnz9Hfn4+MjMzkZSUJFOvU6dO0j8X9N2xY0eZsqysLKSlpUFPTw/379/H1KlTZdqwt7fH+fPnK9x3Ybq6uiXePa+oVatW4cCBA7hw4YLMd4GIiIiISBkxIS9EIBCUa9q4SCRCnmoetNS05JaQV5S2tjbatGkDAPjqq69gY2ODnTt3Su9uVpe3b98iJCREeie7sNISpAYNGkjjXbVqFYYMGYKQkBAsW7ZM+oz19u3bi1w0KJy4llfhhLig7WPHjkFfXx86OjrSMStYjM3FxQVPnjxBdHQ0Tp8+jQEDBmD69OkIDQ2Fra0tEhISEBMTgzNnzmD06NFwcnKSeQa9otTU1GReCwQCiESicp/v6emJFy9eYP369WjZsiXU1dVhb2+PnJycEvsRCAQlllVH34XJa8p6aGgoVq1ahTNnzshcbDA0NAQguVhgZGQkLX/27Bm3bCMiIiKiWo0JeR2goqKCxYsXY968eRg7diw0NYvebbeyssLRo0dlyn7++WeZ15aWlrh+/bpM2fuvbW1t8eDBA2lyXVn+/v7o378/pk2bBmNjYxgbG+Px48cYN25csfUtLS2xd+9eZGdnSxPp92MrTvv27aGuro6kpCSMGDECenp6xV5EMTAwgKenJzw9PeHg4AAfHx+EhoYCAPT09DBmzBiMGTMGHh4ecHZ2xsuXL6XPMBewsrJCVFQUMjIypBcFYmNjoaKiAktLywp9PqWJjY3F5s2b4erqCkCyPsDff/9d5XatrKxw9epVTJgwQVr2/nekMn3LY8r6mjVr8OWXX+LkyZMyMyAAyeMNhoaGOHv2rDQBT0tLw9WrV6t9JX8iIiIioqpgQl5HjBo1Cj4+Pti0aZP0GfDCpk6dirVr18LHxwdeXl745ZdfZBYaA4CZM2eiT58+CAsLw7Bhw3Du3DnExMRI76QCQGBgIIYOHQpTU1N4eHhARUUFt2/fxt27d7F8+fJyx2tvb49OnTphxYoViIiIQEhICGbNmgV9fX04OzsjOzsbN27cwKtXr6QXGpYsWQJvb2/4+fkhKSlJmjAXju99urq6WLBgAebPn4/MzEw4OTkhPT0dsbGx0NPTg6enJwIDA9G1a1dYW1sjOzsbx48fh5WVFQDJc+5GRkbo0qULVFRU8M0338DQ0LDIyvMAMG7cOAQFBcHT0xPBwcH466+/MHPmTIwfP77I881VYWFhgT179sDOzg5paWnw8fEp9iJMRc2ePRsTJ06EnZ0devXqhX379uHXX3+VWdStMn1Xdcr6mjVrEBQUhP3796NVq1bS58J1dHSgo6MDgUCAOXPmYPny5bCwsICZmRkCAgJgbGwMNze3SvdLRERERFTduO1ZHaGqqooZM2ZgzZo1yMjIKHLc1NQU3377LY4cOQIbGxts3boVK1askKnTq1cvbN26Vboa+YkTJzB37lyZqeiDBw/G8ePHcerUKXTr1g0ffvgh1q1bV+piZyWZO3cuduzYgeTkZHh5eWHHjh3YtWsXOnbsCEdHR0RFRcHMzAyA5C71sWPHEBcXh86dO2PJkiUIDAwEUPpUeUCy2ri/vz/WrVsHa2trODs744cffpC23aBBAyxatAidOnVCnz59IBQKceDAAQCSZHLNmjWws7NDt27dkJiYiOjo6GLvsmtpaeHkyZN4+fIlunXrBg8PDwwYMKDUxfYqY+fOnXj16hVsbW0xfvx4zJo1C02bNq1yu2PGjEFAQAB8fX3RtWtXPHnypMgd5urquzRbt25FTk4OPDw8YGRkJP1VcEEGAHx9fTFz5kx4e3ujW7duePv2LU6cOMHnzImIiIioVhOIK7oBtpJJS0uDvr4+3rx5Az09PZljWVlZSEhIgJmZWYX+4y4SiaQLYSnqGfKaMmXKFPz222+4ePGiokMpYt++fZg0aRLevHlT5l3a+jRmdYWix6yyfz/UZ7m5uYiOjoarq2uRtRKoduKYKR+OmfLhmCkfjpnyqY1jVloeWhinrJOM0NBQDBw4ENra2oiJicHXX3+NzZs3KzosAMDu3bthbm6O5s2b4/bt21i4cCFGjx4tl+naRERERERENY0JOcm4du0a1qxZg/T0dJibm2PDhg3w8vJSdFgAJPtNBwYG4unTpzAyMsKoUaNktl8jIiIiIiJSJkzIScbBgwcVHUKJfH194evrq+gwiIiIiIiI5IIP0xIREREREREpABNyIiIiIiIiIgVgQk5ERERERESkAEzIiYiIiIiIiBSACTkRERERERGRAjAhJyIiIiIiIlIAJuR1VGJiIgQCAeLi4kqsc+HCBQgEArx+/brG4qprBAIBjhw5Uq19BAcHo3PnztXaR23sm4iIiIiqID8fuHAB+O9/Jb/n5ys6IioGE3IlNHHiRAgEAggEAqipqcHMzAy+vr7IysqS1jExMUFqaio6dOigwEglgoODpfEKhUKYmJjA29sbL1++VHRoVZaamgoXFxdFh1FvHDhwAAKBAG5ubjLlYrEYgYGBMDIygqamJpycnPDw4UPFBElERESkaIcPA61aAf36AWPHSn5v1UpSTrUKE3Il5ezsjNTUVDx+/Bjr1q1DZGQkgoKCpMeFQiEMDQ2hqqqqwCj/ZW1tjdTUVCQlJWHXrl04ceIEpk2bVq19isVi5OXlVWsfhoaGUFdXr9Y+SCIxMRELFiyAg4NDkWNr1qzBhg0bsHXrVly9ehXa2toYPHiwzEUqIiIionrh8GHAwwP44w/Z8pQUSTmT8lqFCXkhYrEYoszM8v169678dcvxSywWVyhWdXV1GBoawsTEBG5ubnBycsLp06elx4ubsh4dHY22bdtCU1MT/fr1Q2JiYpF2t2/fDhMTE2hpaeGjjz5CWFgYGjZsKFPn+++/h62tLTQ0NGBubo6QkJAyE19VVVUYGhqiefPmcHJywqhRo2TiBYAdO3bAysoKGhoaaNeuHTZv3ixz/PLly+jcuTM0NDRgZ2eHI0eOyLzHgin4MTEx6Nq1K9TV1XHp0iWIRCKsWrUKNjY20NbWho2NDQ4dOiRt99WrVxg3bhwMDAygqakJCwsL7Nq1CwCQk5ODGTNmwMjICBoaGmjZsiVWrlwpPff9Ket37txB//79oampiQ8++ADe3t54+/at9PjEiRPh5uaG0NBQGBkZ4YMPPsD06dORm5tb6udX2PXr1zFw4EA0adIE+vr6cHR0xM2bN2XqCAQCREZGYujQodDS0oKVlRWuXLmC+Ph49O3bF9ra2ujZsycePXokc96qVavQrFkz6OrqYvLkyUUS2vL0XR3y8/Mxbtw4hISEwNzcXOaYWCxGeHg4/P39MWLECHTq1Am7d+/Gn3/+We2PExARERHVKvn5wOzZQHG5RUHZnDmcvl6L1I7bp7WE+N07PLDtWu76z+TYt+XNXyDQ0qrUuXfv3sXly5fRsmXLEuskJyfD3d0d06dPh7e3N27cuIH58+fL1ImNjcXUqVOxevVqDB8+HGfOnEFAQIBMnYsXL2LChAnYsGEDHBwc8OjRI3h7ewOAzB360iQmJuLkyZNo0KCBtGzfvn0IDAxEREQEunTpglu3bmHKlCnQ1taGp6cn0tLSMGzYMLi6umL//v148uQJ5syZU2z7fn5+CA0Nhbm5ORo1aoSVK1di7969CAsLg42NDS5duoRPP/0UBgYGcHR0REBAAO7du4eYmBg0adIE8fHxePfuHQBgw4YNOHr0KA4ePAhTU1MkJycjOTm52H4zMjIwePBg2Nvb4/r163j+/Dm8vLwwY8YMREVFSeudP38eRkZGOH/+POLj4zFmzBh07twZU6ZMKdfnl56eDk9PT2zcuBFisRhr166Fq6srHj58CF1dXWm9ZcuWISwsDGFhYVi4cCHGjh0Lc3NzLFq0CKampvjss88wY8YMxMTEAAAOHjyI4OBgbNq0Cb1798aePXuwYcMGmQS4vH0Xtm/fPnz++eelvqeYmJhi73wXWLp0KZo2bYrJkyfj4sWLMscSEhLw9OlTODk5Scv09fXRo0cPXLlyBR9//HGpfRMRERHVGRcvFr0zXphYDCQnS+r17VtjYVHJmJArqePHj0NHRwd5eXnIzs6GiooKIiIiSqy/ZcsWtG7dGmvXrgUAWFpa4s6dO1i9erW0zsaNG+Hi4oIFCxYAANq2bYvLly/j+PHj0johISHw8/ODp6cnAMDc3BzLli2Dr69vqQn5nTt3oKOjg/z8fOld17CwMOnxoKAgrF27Fu7u7gAAMzMz3Lt3D5GRkfD09MT+/fshEAiwfft2aGhooH379khJSSk2iV26dCkGDhwIAMjOzsaKFStw6tQpWFtbQ09PD23atMGlS5cQGRkJR0dHJCUloUuXLrCzswMAtGrVStpWUlISLCws0Lt3bwgEglIveuzfvx9ZWVnYvXs3tLW1AQAREREYNmwYVq9ejWbNmgEAGjVqhIiICAiFQrRr1w5DhgzB2bNny52Q9+/fX+b1tm3b0LBhQ/z4448YOnSotHzSpEkYPXo0AGDhwoWwt7dHQEAABg8eDACYPXs2Jk2aJK0fHh6OyZMnY/LkyQCA5cuX48yZMzJ3ycvbd2HDhw9Hjx49Sn1PzZs3L/HYpUuXsHPnzhIXKHz69CkASD/fAs2aNZMeIyIiIqoXUlPlW4+qHRPyQgSamrC8+UuZ9UQiEdLS06GnqwsVFfnM+hdoalaofr9+/bBlyxZkZGRg3bp1UFVVxciRI0usf//+/SJJkb29vczrBw8e4KOPPpIp6969u0xCfvv2bcTGxuLLL7+UlhUk2ZmZmdAq4S6/paUljh49iqysLOzduxdxcXGYOXMmAMmd5UePHmHy5MkySWleXh709fWlsXXq1AkaGhoysRWnILEGgPj4eGRmZkqT0AI5OTno0qULAGDatGkYOXIkbt68iUGDBsHNzQ09e/YEIJliPnDgQFhaWsLZ2RlDhw7FoEGDiu33/v370mnxBXr16gWRSIQHDx5IE0Zra2sIhUJpHSMjI9y5c6fYNovz7Nkz+Pv748KFC3j+/Dny8/ORmZmJpKQkmXqdOnWS/rmg744dO8qUZWVlIS0tDXp6erh//z6mTp0q04a9vT3Onz9f4b4L09XVLfHueVkK7shv374dTZo0qVQbRERERPWGkZF861G1Y0JeiEAgKN+0cZEIKnl5UNHSkltCXlHa2tpo06YNAOCrr76CjY0Ndu7cKb27WV3evn2LkJAQ6Z3swgony+9r0KCBNN5Vq1ZhyJAhCAkJwbJly6TPWG/fvr3IRYPCiWt5FU6IC9o+duwY9PX1oaOjIx2zgsXYXFxc8OTJE0RHR+P06dMYMGAApk+fjtDQUNja2iIhIQExMTE4c+YMRo8eDScnJ5ln0CtKTU1N5rVAIIBIJCr3+Z6ennjx4gXWr1+Pli1bQl1dHfb29sjJySmxH4FAUGJZdfRdWFWmrCcmJiIxMRHDhg2TlhXEq6qqigcPHsDQ0BCA5GKBUaF/XJ49e8Yt24iIiKh+cXAAWrSQLOBW3HPkAoHkeCmPClLNYkJeB6ioqGDx4sWYN28exo4dC81i7rZbWVnh6NGjMmU///yzzGtLS0tcv35dpuz917a2tnjw4IE0ua4sf39/9O/fH9OmTYOxsTGMjY3x+PFjjBs3rtj6lpaW2Lt3L7Kzs6WJ9PuxFad9+/ZQV1dHUlISRowYAT09vWIvohgYGMDT0xOenp5wcHCAj48PQkNDAQB6enoYM2YMxowZAw8PDzg7O+Ply5do3LixTBtWVlaIiopCRkaG9KJAbGwsVFRUYGlpWaHPpzSxsbHYvHkzXF1dAUjWB/j777+r3K6VlRWuXr2KCRMmSMve/45Upu+qTFm3sLDA7du3ZcbM398f6enpWL9+PUxMTKCmpgZDQ0OcPXtWmoCnpaXh6tWr1b6SPxEREVGtIhQC69dLVlMXCGST8n9uxiA8XFKPagUm5HXEqFGj4OPjg02bNkmfAS9s6tSpWLt2LXx8fODl5YVffvlFZqExAJg5cyb69OmDsLAwDBs2DOfOnUNMTIz0TioABAYGYujQoTA1NYWHhwdUVFRw+/Zt3L17F8uXLy93vPb29ujUqRNWrFiBiIgIhISEYNasWdDX14ezszOys7Nx48YNvHr1SnqhYcmSJfD29oafnx+SkpKkCXPh+N6nq6uLBQsWYP78+cjMzISTkxPS09MRGxsLPT09eHp6IjAwEF27doW1tTWys7Nx/PhxWFlZAZA8525kZIQuXbpARUUF33zzDQwNDYusPA8A48aNQ1BQEDw9PREcHIy//voLM2fOxPjx44s831wVFhYW2LNnD+zs7JCWlgYfH59iL8JU1OzZszFx4kTY2dmhV69e2LdvH3799VeZRd0q03dVpqxraGigQ4cOMgl5wWffoUMHadmcOXOwfPlyWFhYwMzMDAEBATA2Ni6yXzkRERFRnefuDhw6JFltvfACby1aSJLxYma6kuJw27M6QlVVFTNmzMCaNWuQkZFR5LipqSm+/fZbHDlyBDY2Nti6dStWrFghU6dXr17YunWrdDXyEydOYO7cuTJT0QcPHozjx4/j1KlT6NatGz788EOsW7eu1MXOSjJ37lzs2LEDycnJ8PLywo4dO7Br1y507NgRjo6OiIqKgpmZGQDJXepjx44hLi4OnTt3xpIlSxAYGAig9KnygGS1cX9/f6xbtw7W1tZwdnbGDz/8IG27QYMGWLRoETp16oQ+ffpAKBTiwIEDACTJ5Jo1a2BnZ4du3bohMTER0dHRxd5l19LSwsmTJ/Hy5Ut069YNHh4eGDBgQKmL7VXGzp078erVK9ja2mL8+PGYNWsWmjZtWuV2x4wZg4CAAPj6+qJr16548uRJkTvM1dV3Vfn6+mLmzJnw9vZGt27d8PbtW5w4caLM7wYRERFRneTuDiQmAufPA/v3S35PSGAyXgsJxBXdAFvJpKWlQV9fH2/evIGenp7MsaysLCQkJMDMzKxC/3EXiUTShbAU9Qx5TZkyZQp+++23IltN1Qb79u3DpEmT8ObNmzLv0tanMasrFD1mlf37oT7Lzc1FdHQ0XF1di6yVQLUTx0z5cMyUD8dM+XDMlE9tHLPS8tDCOGWdZISGhmLgwIHQ1tZGTEwMvv76a2zevFnRYQEAdu/eDXNzczRv3hy3b9/GwoULMXr0aLlM1yYiIiIiIqppTMhJxrVr17BmzRqkp6fD3NwcGzZsgJeXl6LDAiDZbzowMBBPnz6FkZERRo0aJbP9GhERERERkTJhQk4yDh48qOgQSuTr6wtfX19Fh0FERERERCQXTMiJiIiIiIhqq/x84OJFIDUVMDKS7CHObcvqDCbkREREREREtdHhw8VvX7Z+PVdMryO43DQREREREVFtc/gw4OEhm4wDQEqKpPzwYcXERXLFhJyIiIiIiKg2yc+X3BkvbofqgrI5cyT1SKkxISciIiIiIqpNLl4seme8MLEYSE6W1COlptCE/KeffsKwYcNgbGwMgUCAI0eOyBwXi8UIDAyEkZERNDU14eTkhIcPHyomWCIiIiIiopqQmirfelRrKTQhz8jIgI2NDTZt2lTs8TVr1mDDhg3YunUrrl69Cm1tbQwePBhZWVk1HKnySUxMhEAgQFxcXIl1Lly4AIFAgNevX9dYXHVNcReS5C04OBidO3eu1j5qY99ERERE9ZaRkXzrUa2l0FXWXVxc4OLiUuwxsViM8PBw+Pv7Y8SIEQCA3bt3o1mzZjhy5Ag+/vjjYs/Lzs5Gdna29HVaWhoAIDc3F7m5uTJ1c3NzIRaLIRKJIBKJyh23+J/nNgrOrWmTJk3C7t27AQCqqqpo0aIFPDw8EBISAg0NDQBA8+bNkZKSgiZNmpQYY0F5Rd9/RYWEhGDp0qUAABUVFRgbG8PZ2RkrV65E48aNq63fwqprzFJSUtCoUaNq/fwKYlfEd6029F14zA4cOIBx48Zh+PDh+O6772TqBgcHY8eOHXj9+jV69eqFTZs2wcLCQlrn5cuXmDVrFo4fPw4VFRW4u7sjPDwcOjo6xfYvEokgFouRm5sLIbcWKZeCv2Pf/7uWai+OmfLhmCkfjpnyqRVj9uGHUG3eHPjzTwiKeY5cLBAAzZsj78MPAX63aseYvae8sdTabc8SEhLw9OlTODk5Scv09fXRo0cPXLlypcSEfOXKlQgJCSlSfurUKWhpacmUqaqqwtDQEG/fvkVOTk6FY0xPT6/wOfKQm5uLAQMGYNOmTcjNzcXt27cxbdo05OTkyLx3LS0tZGZmlthOwbH09HSoqFTfZIns7Gy0a9cOR44cQX5+Pn7//XfMmDEDL168wFdffVVt/YrFYuTn50NV9d+vubzHTEtLq8hFIHnLzs5Gfn6+9OJSTVJk3wUKxiwpKQk+Pj6wt7dHXl6eTEzh4eHYsGEDtmzZAlNTU6xYsQKDBw/Gzz//LL1I9fHHH+PZs2c4fPgwcnNzMWPGDHz22WfYsWNHsf3m5OTg3bt3+Omnn5CXl1f9b7QOOX36tKJDoArimCkfjpny4ZgpH0WPmdGnn6Lb6tUQAxAUKhcDgFiM6+PGIfXkScUEV0speswKKy0PK6zWJuRPnz4FADRr1kymvFmzZtJjxVm0aBHmzZsnfZ2WlgYTExMMGjQIenp6MnWzsrKQnJwMHR0daGhoQCwWIy+n7DuBYrEYb9+mQ0dHFwKBoMz65aHaQKXcbampqUFbW1t69699+/b49ttvcfHiRel7TExMROvWrfHLL79IpxxHR0dj3rx5SE5Oxocffojx48cDAHR1daXnbd++HcuXL8eLFy8waNAgODg4YNmyZXj58qW0/++//x7Lli3DvXv3YGxsjAkTJmDx4sUyiW9h6urqUFdXl8bbrl07/PTTT4iKipIZkx07dmDdunVISEhAq1atMHPmTEybNk16/PLly5gxYwZ+++03dOjQAYsXL8bIkSOl7/HChQsYMGAAjh8/jsDAQNy5cwcnTpxAnz59sHr1amzbtg3Pnz9H27ZtsWTJEnh4eAAAXr16hZkzZ+L06dN4+/YtWrRoAT8/P0yaNAk5OTmYP38+Dh8+jFevXqFZs2b4/PPP4efnBwAQCoX49ttv4ebmBgC4c+cO5s6diytXrkBLSwvu7u5Yu3at9C7spEmT8Pr1a/Tu3RthYWHIycnBmDFjsG7dOqipqZX4+QmFQulndf36dSxZsgRxcXHIzc1F586dsXbtWtja2krPEQqF2Lx5M44fP47z58+jZcuW2LFjBwwMDODt7Y3r16/DxsYGX3/9NVq3bi09b/Xq1QgPD0dmZiZGjRoFAwODCvctL2KxGOnp6dDV1YVIJMK0adMQHByMS5cu4fXr19KYxGIxIiMj4e/vL71Qt2/fPhgZGeHcuXP4+OOPcf/+fZw9exZXr16FnZ0dAGDjxo0YOnQowsPDYWxsXKT/rKwsaGpqok+fPtKknkqXm5uL06dPY+DAgSV+n6l24ZgpH46Z8uGYKZ9aM2aursi3tYVw3jzJVmcFWrRA/tq16PLRR+iiuOhqlVozZoWU94ZWrU3IK6sg+XufmppakcHJz8+HQCCAiooKVFRUkJudjx1zFbNSofd6R6ipl+8utUAgkMYNAHfv3sWVK1fQsmVLaVnh31VUVJCcnAwPDw9Mnz4d3t7euHHjBubPny9TJzY2Fl988QVWr16N4cOH48yZMwgICJBp7+LFi5g4cSI2bNgABwcHPHr0CN7e3hAIBAgKCiox3sJtJCYm4tSpU2jQoIG0bN++fQgODkZERAS6dOmCW7duYcqUKdDR0YGnpyfS0tIwYsQIuLq6Yv/+/Xjy5AnmzJkjE39BW4sXL0ZoaCjMzc3RqFEjrF69Gnv37kVYWBhsbGxw6dIlTJgwAc2aNYOjoyOCgoJw//59xMTEoEmTJoiPj8e7d++goqKCiIgIHDt2DAcPHoSpqSmSk5ORnJwsM6OgoO+MjAy4uLjA3t4e169fx/Pnz+Hl5YVZs2YhKipK+llcuHABxsbGOH/+POLj4zFmzBh06dIFU6ZMKdfnl5GRgYkTJ8LOzg5isRhr167F0KFD8fDhQ+jq6krP+/LLLxEWFoZ169Zh4cKF+PTTT2Fubo5FixbB1NQUn332GWbNmoWYmBgAwMGDBxESEoJNmzahd+/e2LNnDzZs2ABzc/MK913Yvn378Pnnnxd7rEBMTAwcHBxkygqmqQsEAixfvhxNmzbFlClTEBsbK/P9f/z4MZ4+fYqBAwdKyxo1aoQePXrg6tWrGDt2LK5evYqGDRuie/fu0vYHDRoEFRUVXL9+HR999FGRmFRUJBfJivu7g0rHz0z5cMyUD8dM+XDMlE+tGLPRo4GRIyWrqaemAkZGEDg4QLUePk6Xmy/C5vOP8PuzdPg6W6LlB9pF6tSKMftHeeOotQm5oaEhAODZs2cwKrRYwbNnz7jIFIDjx49DR0cHeXl5yM7OliaPJdmyZQtat26NtWvXAgAsLS1x584drF69Wlpn48aNcHFxwYIFCwAAbdu2xeXLl3H8+HFpnZCQEPj5+cHT0xMAYG5ujmXLlsHX17fEhByQ3DnW0dFBfn6+dFG+sLAw6fGgoCCsXbsW7u7uAAAzMzPcu3cPkZGR8PT0xP79+yEQCLB9+3ZoaGigffv2SElJKTaJXbp0KQYOHAhAMuV6xYoVOHXqFKytraGnp4c2bdrg0qVLiIyMhKOjI5KSktClSxfpndNWrVpJ20pKSoKFhQV69+4NgUCAli1blvge9+/fj6ysLOzevRva2pK/ICIiIjBs2DCsXr1aOtujUaNGiIiIgFAoRLt27TBkyBCcPXu2xIT8ff3795d5vW3bNjRs2BA//vgjhg4dKi2fNGkSRo8eDQBYuHAh7O3tERAQgMGDBwMAZs+ejUmTJknrh4eHY/LkyZg8eTIAYPny5Thz5ozMIorl7buw4cOHo0ePHqW+p+bNm5d47NKlS9i5c2eJCxSWZzbN06dP0bRpU5njqqqqaNy4cakzboiIiIgUTigE+vZVdBQKkZWbD9tlp5GZI7vfemPtBljm1kFBUclXrU3IzczMYGhoiLNnz0oT8LS0NFy9elVmGrM8qTZQgfd6xzLriUQipKenQVdXT27PXqs2qFg7/fr1w5YtW5CRkYF169ZBVVUVI0eOLLH+/fv3iyRF9vb2Mq8fPHhQ5E5h9+7dZRLy27dvIzY2Fl9++aW0rCDJzszMLPKcfgFLS0scPXoUWVlZ2Lt3L+Li4jBz5kwAkruujx49wuTJk2WS0ry8POjr60tj69Spk8zU4cJ3OwsrSKwBID4+HpmZmdIktEBOTg66dJFM8pk2bRpGjhyJmzdvYtCgQXBzc0PPnj0BABMnTsTAgQNhaWkJZ2dnDB06FIMGDSq23/v378PGxkaajANAr169IBKJ8ODBA2nCaG1tLbNImJGREe7cuVNsm8V59uwZ/P39ceHCBTx//hz5+fnIzMxEUlKSTL1OnTpJ/1zQd8eOHWXKsrKykJaWBj09Pdy/fx9Tp06VacPe3h7nz5+vcN+F6erqlnj3vCzp6enw9PTE9u3b0aRJk0q1QURERETKIydPBPuVZ/Eio+Q1vqb3a1ODEVUvhSbkb9++RXx8vPR1QkIC4uLi0LhxY5iammLOnDlYvnw5LCwsYGZmhoCAABgbG0uf15U3gUAANfWyp3+IRAKoZguhpi6s1sXQSqOtrY02bSRfxK+++go2NjbYuXOn9O5mdXn79i1CQkKkd7ILK+052wYNGkjjXbVqFYYMGYKQkBAsW7YMb9++BSB5fv39iwaVWd26cEJc0PaxY8egr68PHR0d6ZgVPNrg4uKCJ0+eIDo6GqdPn8aAAQMwffp0hIaGwtbWFgkJCYiJicGZM2cwevRoODk54dChQxWOq8D701cEAkGFVjH39PTEixcvsH79erRs2RLq6uqwt7cvsjBh4X4Kpr0XV1YdfRdW2SnrgOTxhsTERAwbNkxaVhCvqqoqHjx4UK7ZNIaGhnj+/LlM23l5eXj58qX0fCIiIiJSjLx8ERz/cwEpr9+VWu/e0sHQalBr7ylXikLfzY0bN9CvXz/p64LF2Dw9PREVFQVfX19kZGTA29tbuhDWiRMnuMDSe1RUVLB48WLMmzcPY8eOhaamZpE6VlZWOHr0qEzZzz//LPPa0tIS169flyl7/7WtrS0ePHggTa4ry9/fH/3798e0adNgbGwMY2NjPH78GOPGjSu2vqWlJfbu3Yvs7GxpIv1+bMVp37491NXVkZSUhBEjRkBPr/hZDQYGBvD09ISnpyccHBzg4+OD0NBQAICenh7GjBmDMWPGwMPDA87Oznj58mWRLdusrKwQFRWFjIwM6UWB2NhYqKiowNLSskKfT2liY2OxefNmuLq6AgCSk5Px999/V7ldKysrXL16FRMmTJCWvf8dqUzfVZmybmFhgdu3b8uMmb+/P9LT07F+/XqYmJhATU2tzNk09vb2eP36NX755Rd07doVAHDu3DmIRKIyYyMiIiIi+csXiTE4/CfEP39bar2riwegmV7dzf8UmpD37dtXutdwcQQCAZYuXSrdw5pKNmrUKPj4+GDTpk3SZ8ALmzp1KtauXQsfHx94eXnhl19+kS40VmDmzJno06cPwsLCMGzYMJw7dw4xMTEyq78HBgZi6NChMDU1hYeHB1RUVHD79m3cvXsXy5cvL3e89vb26NSpE1asWIGIiAiEhIRg1qxZ0NfXh7OzM7Kzs3Hjxg28evVKeqFhyZIl8Pb2hp+fH5KSkqQJc2mr0+vq6mLBggWYP38+MjMz4eTkhPT0dMTGxkJPTw+enp4IDAxE165dYW1tjezsbBw/fhxWVlYAJM+5GxkZoUuXLlBRUcE333wDQ0NDNGzYsEhf48aNQ1BQEDw9PREcHIy//voLM2fOxPjx44s831wVFhYW2LNnD+zs7JCWlgYfH59iL8JU1OzZs6ULtvXq1Qv79u3Dr7/+CnNz8yr1XZUp6xoaGujQoYNMQl7w2Xfo8O9zQ2XNprGysoKzszOmTJmCrVu3Src9+/jjj4tdYZ2IiIiIyiE/X2bBOTg4SJ55L4FIJMaITbG4k/Km1GZj/fqjecOq//9WGShmvjXJnaqqKmbMmIE1a9YgIyOjyHFTU1N8++23OHLkCGxsbLB161asWLFCpk6vXr2wdetW6WrkJ06cwNy5c2VmJAwePBjHjx/HqVOn0K1bN3z44YdYt25dqYudlWTu3LnYsWMHkpOT4eXlhR07dmDXrl3o2LEjHB0dERUVBTMzMwCSu9THjh1DXFwcOnfujCVLliAwMBBA6VPlAWDZsmXw9/fHunXrYG1tDWdnZ/zwww/Sths0aIBFixahU6dO6NOnD4RCIQ4cOABAkkyuWbMGdnZ26NatGxITExEdHV3sXXYtLS2cPHkSL1++RLdu3eDh4YEBAwaUutheZezcuROvXr2Cra0txo8fj1mzZhVZsKwyxowZg4CAAPj6+qJr16548uRJkfUaqqvvqvL19cXMmTPh7e2Nbt264e3bt0Vm0+zbtw/t2rXDgAED4Orqit69e2Pbtm0KjJqIiIhIiR0+DLRqBfTrB4wdK/m9VStJeSFisRgeWy6jld8PMF8cXWIy/pNPPySuGoLEVUPqTTIOAAJxabeo64C0tDTo6+vjzZs3xe5DnpCQADMzswpNgxeJRNKFsBT1DHlNmTJlCn777TdcvKiY7eBKs2/fPkyaNAlv3rwp8y5tfRqzukLRY1bZvx/qs9zcXERHR8PV1bXWbDlCpeOYKR+OmfLhmCkfjlk5HD4MeHgA76eS/8xcFX/zDSa8boGLD0t/tPHsfEe0NtCpcji1ccxKy0MLq1tPxFOVhYaGYuDAgdDW1kZMTAy+/vprbN68WdFhAQB2794Nc3NzNG/eHLdv38bChQsxevRouUzXJiIiIiKicsjPB2bPLpqMA4BYDBGAp5OmInbqTkCl6PT1U3P7oG2zyj3OWBcxIScZ165dw5o1a5Ceng5zc3Ns2LABXl5eig4LgGQv6cDAQDx9+hRGRkYYNWqUzPZrRERERERUzS5eBP74o8TDKgCM0/9G9z9+xc+mkm14f5jVG9bG+jUUoHJhQk4yDh48qOgQSuTr6wtfX19Fh0FEREREVH+lppar2qqeBmg1Y0g1B6P8mJATERERERFRqfqsOY+kl5n4MCkRB8pRv1WHqm2TXF8wIQdK3XqNiOon/r1ARERE9Z3r+ou4l5omU3athTX+1G0Cw/S/i9+ySyAAWrSQbIFGZarXCXnBCnyZmZlcGIyIZGRmZgJArVmpk4iIiKgmjN56BdcSX5Z4XKQixO+LlsF4yReSgsI3Mf5ZZR3h4aXuR07/qtcJuVAoRMOGDfH8+XMAkn2kBQVfolKIRCLk5OQgKyuLW2gpCY6Z8lHUmInFYmRmZuL58+do2LAhhPzHhIiIalp+vmThrNRUwMhIcqeR/x5RNZq06xrOP/ir1DqLXdvBu0/rfwssm0pWWy+8wFuLFpJk3N1dvgHW4Z+Jep2QA4ChoSEASJPy8hCLxXj37h00NTXLlcCT4nHMlI+ix6xhw4bSvx+IiIhqzOHDxSc569fLP8mhem36vpv44U7pC7TNdWqL2U4WxR90dwdGjKj+RLmO/0zU+4RcIBDAyMgITZs2RW5ubrnOyc3NxU8//YQ+ffpwOquS4JgpH0WOmZqaGu+MExFRzTt8GPDwKLq/c0qKpPzQoTqRgJDi+HxzG9/8UvKWZQAw1bE1/Fzala9BoRDo27fqgZWkHvxM1PuEvIBQKCz3f8CFQiHy8vKgoaHB5E5JcMyUD8eMiIjqlfx8yV3A4hYVFYslz+bOmSO5I8mLxlQBwUd/RdTlxFLreNq3RMiIDjUTUHlV5GdCiTEhJyIiIiJStIsXZafkvk8sBpKTJfWq844k1QkTd13DhTKeCR/VtQX+M8qmhiKqhIr8TPTqVXNxyRkTciIiIiIiRUst/VneCtejemfmf2/h2O0/S60zpKMRNo2zraGIqqie/EwwISciIiIiUjQjI/nWo3rB79v/4cD15FLrNG+oiVi//jUUkRzVk58JJuREREREpanD2+1QLeLgIFk5OiWl+GdmBQLJcQeHmo+NapVlx+9h56WEMuslrhpSA9FUo4r8TIhENR+fnDAhJyIiIipJHd9uh2oRoVDyvfLwkCQahROQgu0/w8N5MaieCjv1ABvOxZdZT+mT8MIq8jPBhJyIiIiojqkH2+1QLePuLvleFXcRKDyc37d6JvD7u9h95UmZ9epUEv6+evAzwYSciIiI6H3cgooUxd1d8r3iYxL10n9O/oZN5x+VWa9OJ+Hvq+M/E0zIiYiIiN7HLahIkYRCfq/qkU3n4/Gfkw/KrFevkvD31eGfCSbkRERERO+rJ9vtEJFiRMUmIPjYvTLrJax0haDgeWmqk5iQExEREb2vnmy3Q0Q1Z/tPj/Fl9P0y6zEJr1+YkBMRERG9j1tQEZEc7Lv6BEu+u1tmvccrXKGiwiS8PmJCTkRERPQ+bkFFRJX0fVwKZh+IK7Ne/JcuUBWqVH9AVKsxISciIiIqTj3YboeI5OP0vWeYsvtGmfV+W+YMDTVeyKN/MSEnIiIiKkkd326HiCovNv5vjNtxtcx6v4YMhrY60y4qHr8ZRERERKWpw9vtEFHF/PLkFUZuuVxmvdtBg6CvqVYDEZGyY0JORERERERUgnt/psF1w8Uy693wd0ITHfUaiIjqEibkREREREREhTx7B1gEnCqz3pVF/WGkr1kDEVFdxYSciIiIiIjqveSXmXBYc/6fVyWnST/69EXLD7RrJiiq85iQExERERFRvfQ8LQvdV5wts96puX3QtpluDURE9Q0TciIiIiIiqjdeZeSgy7LTZdY7PLUHbFs1qYGIqD5jQk5ERERERHVaelYuOgaX/Uz4wc/t0aWFLqKjo9GxuX4NREb1HRNyIiIiIiqf/HzuyU7yV03fq3c5+bAKPFFmvahJ3dDXsqn0dW5ubpX7JiovJuREREREVLbDh4HZs4E//vi3rEULYP16wN1dcXGRcpPz9yonT4S2/jFl1tsyzhYuHY0q3H6V8aIWvYcJORERERGV7vBhwMMDEItly1NSJOWHDjEpp4qT0/cqL1+ENkvKTsJDR9nAo2uLykZbdbyoRcVgQk5EREREJcvPlyQR7ydNgKRMIADmzAFGjOCdPiq/Kn6vRCIxzBdHl9lNyHBrePZsVfV4q4oXtagETMiJiIiIqGQXL8re0XufWAwkJ0vq9e1bY2GRkqvE90osFsNsUdlJuM9gS0zv10ZOgcoBL2pRKZiQExEREVHJUlPlW48IqND3qpXfD2VW+9zRHItcrKoYVDXhRS0qBRNyIiIiIiqZUTkXvipvPSKg3N+Xj48lAqadij02tocpVnzUUY5BVRNe1KJSMCEnIiIiopI5OEgWnkpJKX7KrUAgOe7gUPOxkfIq43slAvBUtwmutbCWKR/ayQgRY21rKEg54UUtKgUTciIiIiIqmVAoWQXaw0OSfBdOngQCye/h4Xz2lSrmn++VaORIAIBKoUOif34PGeANkYoQfdoaYPdn3Ws8RLnhRS0qBRNyIiIiIiqdu7tkFejitmwKD+fq0FQh/z4Tro7BbosRdHYbjNP/lh5/qtsEX4+eg8gdSxQToLzxohaVggk5EREREZXN3V2yCvTFi5JnXY2MJHf0mERQOZS0MNtJy544bdED3f/4FW1Fb7F06kAYOzhgUV37XvGiFpWACTkRERERlY9QyFWgqdzKszo6ADxeMxzA8OoNpjbgRS0qBhNyIiIiIiKSi/Im4YmrhlRzJLUUL2rRe5iQExERERFRpTEJJ6o8JuRERERERFQhTMKJ5IMJORERERERlYlJOJH8MSEnIiIiIqJiMQknql5MyImIiIiISIpJOFHNYUJORERERFTPdV56Cq8zc8usxyScSL6YkBMRERER1UP9Qy/g8d8ZZdZjEk5UfZiQExERERHVEyO3XMYvT16VWY9JOFHNYEJORERERFSHeX19HWfuPy+zHpNwoprHhJyIiIiIqI6Zf/A2vr35R5n1mIRTrZebBRyfA9z+779lE38AWvVWWEjyxISciIiIiKgOWHrsHr6KTSizXsJKVwgEghqIiKiC8rKBH+YDt/aUXu+3aCbkRERERESkWOtO/471Zx+WWe/xCleoqDAJp1okLwc4sRC48VXFzrMaDjgFVU9MCsCEnIiIiIhIiey4+BjLf7hfZr34L12gKlSpgYiIypCfC5xcAlyLrPi5VsMAty2Auq7846oFmJATEREREdVyB68nw/fb/5VZ78FyZ6irCmsgIqIS5OcBZ4KAKxEVP7etC+AeCWjoyz+uWooJORERERFRLRR9JxVf7LtZZr17SwdDqwH/W08KkJ8H7HIB/rhW8XPbOAEjdwCajeQflxLhTy4RERERUS1x4cFzTNx1vcx6t4MGQV9TrQYiIvqHKF+SfCdfrfi5Zo7AqChAq7Hcw1J2TMiJiIiIiBToWsJLjI68Uma9G/5OaKKjXgMRVVJ+PnDxIpCaChgZAQ4OgJDT55WSSATscQMSfqz4uS17AaN3A9pN5B5WXcSEnIiIiIioLHJONu/88QbDIi6VWe+yX38YN9SsdD815vBhYPZs4I9Ce5+3aAGsXw+4uysuLiqbSATsHw3En67c+bNuAY3N5RtTPcKEnIiIiIioNHJKNh8+S8fAdT+VWe/Cgr5o1US7MpEqxuHDgIcHIBbLlqekSMoPHWJSXluIxcD/fQr8drxy58/4BWjSRr4x1XNMyImIiIiISlLFZDP5VSZmX1HF7CunSu3mxBwHtDPUk0fENSs/X3Kx4v3PB5CUCQTAnDnAiBGcvl7TxGJgsz3wV9lb5BXri6tA03byjYmKYEJORERERFScSiabz9Ky0GPF2TKb/+6LnuhiquQrTF+8KDtz4H1iMZCcLKnXt2+NhVXviMXAll7A818rd/7UWMCwg3xjonJhQk5EREREVJwKJJt/29nDbvmZMpvcP6UHerauQ4tdpabKtx6Vzw4n4I+yV+MvlvePgHFnuYZDlceEnIiIiIioOOVMImeFReNo+4wSj0+xzIfvpy5QU6uD25QZGcm3HhW1xhzIfFG5c8cdAiwGyjcekism5ERERERExSlnEvlcp+i08/Ufd8aIzs2Rm5uL6OhoeUdWezg4SBa4S0kpfmq/QCA57uBQ87Epo/COwOukyp378X6g3RD5xkPVjgk5EREREVFx/kk2xSkpEBSTbIoAPNVtgmstrKEiyke4cTqGN1ORJPIdDWs+XkUQCiWrzXt4SJLvwp+TQCD5PTycC7oVZ9OHlV9wbVQUYP2RXMMhxWBCTkRERET0nrx8EdosOYHBdhOw5Y8VEANQKXRc9M/vV2cH4HGXvJK3RRs2rAajVhB3d8lq88V9BuHh3PIMAFa1BLJeV+7cQcuBnjPlGg7VHkzIiYiIiIgAiERimC+WnV5+0rInprktRtDZbTBO/1tarmJiAoSH4yOg1G3RBAcOAOrq1R+8orm7S1abv3hR8uy9kZFkhkF9vDO+rgPwJrly5/bzBxx95BsP1WpMyImIiIio3hKLxTBbVPoz3icte+L1IBf8n1WebLIJAK1albotmnD+fMmd8vpAKKx/W5tVZdq5w3xgQKB84yGlw4SciIiIiOqdVn4/lFmntYE2zs7vW3KFCxfK3BZN8Mcf+ODevfoxdb2uq8pWY+1HAKN3yzceqhOYkBMRERFVRX4+p+kqifIk4Xoaqvhf8ODyNVjObdE0Xr0qX3tUa9jHr4balxMqd3IbJ+DTb+UbENVZTMiJiIiIKuvw4ZIX8+JCVrVCeZJwAEhcVYntosq5LVpWo6LbolEtcmAc8Ntx6Us1AE3Le65pT+CzmOqIiuoJJuRERERElXH4cKmLeeHQISblClKtSXhh5diDW9y8OV60b1+1fkh+vp0C3DlYuXMNOwFTL8o3Hqr3mJATERERVVR+vuTOeCmLeWHOHMmq05y+XiNqLAkvrBx7cOevXcvvgKIcmw38ElWpU982aAp1n3tQU1OTb0xE72FCTkRERFRRFy+WuZgXkpMl9erbqtM1SCFJ+PvK2INbPGwYEF36Ku4kBycWAz9vqty52gaAT7z0ZW5uLs5GR8NVTqERlYYJOREREVFFlXMxr3LXo3KrFUn4+0rbgzs3t+biqC/OLgMuhlbuXFVNwP+pfOMhqgIm5EREREQVVc7FvMpdj0pVK5Pw99XHPbhrwk+hwLlllT8/+I38YqEa9SrrFTbFbcL/Pfi/Isc29NuAfqb9FBCV/DEhJyIiIqqocizmhRYtJPWoUpQiCSf5urIZOLmo8ucz+VY6b7LfYFPcJvz3t/9W6Ly7L+4yIa8J+fn5CA4Oxt69e/H06VMYGxtj4sSJ8Pf3h+CfhTKIiIiIalw5FvNCeDgX86ogJuH1yMUw4GxI5c9n8q003mS/wdbbW7H3/t4qt/WBxgeY0mkKPmn3iRwiqx1qdUK+evVqbNmyBV9//TWsra1x48YNTJo0Cfr6+pg1a5aiwyMiIqL6rIzFvLjlWfkwCa8Hft4KnFhY+fOZfNd66TnpiLwdia/vfS2X9lRVVLG4x2K4t3GHUKVuX9is1Qn55cuXMWLECAwZIvkLuFWrVvjvf/+La9euKTgyIiIiIpS+mBeViEl4HfZLlGS7scoKev3vLBOqVV5lvcLnpz/H/Zf35dKeikAFi7ovgkdbD6iq1Oq0tFrV6nfes2dPbNu2Db///jvatm2L27dv49KlSwgLCyvxnOzsbGRnZ0tfp6WlAZBsX5Arp1UuC9qRV3tU/Thmyodjpnw4ZsqHYyZHvXr9+2eRSPKrGijzmFkEnCpXvYfLBkn/rIzv833KPGZlEdz9BqrfT6v0+bmL/yqafOflVTGqqqvLY1aW19mvMevCLNx9cVdubfp09YGHhQfUVIrf012cL0ZuftU+69o4ZuWNRSAWF7cSSe0gEomwePFirFmzBkKhEPn5+fjyyy+xaFHJiz0EBwcjJKTo8yj79++HlpZWdYZLRERERIXMvlK+ez/r7RWfhFHpjF5fR/eEjZU+//vOUYBARX4BUaW9E73Dnow9SMpPklubvdV7w0nDCaqCWn2/t0ZlZmZi7NixePPmDfT09EqsV6sT8gMHDsDHxwf/+c9/YG1tjbi4OMyZMwdhYWHw9PQs9pzi7pCbmJjg77//LvWDqIjc3FycPn0aAwcOhJpa8Vd6qHbhmCkfjpny4ZgpH46Z8lGGMavMnfC6TBnG7H2C+NNQ/b/KL5qVu+gpoMRTkJVxzN73KusVBhweINc2+7Xoh+U9l0NTVVOu7cpDbRyztLQ0NGnSpMyEvFb/pPj4+MDPzw8ff/wxAKBjx4548uQJVq5cWWJCrq6uDnV19SLlampqch+c6miTqhfHTPlwzJQPx0z5cMyUT20bMz4TXrbaNmZSj38Edg+v/PkBfwNC2fdVC99lpdTaMfvHm+w36H+wP3JEOXJrs2+LvljdZzW01JRzZnFtGrPyxlGrE/LMzEyoqMhObREKhRBV03NZRERERFQ+HYJO4m122VPN63MSXusk/Qx8Nbjy5y95BqhpyC8eKtPrrNdw+D8HubbZq3kvrHVcC201bbm2S5VTqxPyYcOG4csvv4SpqSmsra1x69YthIWF4bPPPlN0aERERET1jk3IKbx5V/ZCRQkrXSHgStmKlXIT2N6v8ucv/hNowIStJrzJfoPeB3rLtU0VgQoujL6ARhqN5NouyV+tTsg3btyIgIAAfPHFF3j+/DmMjY3x+eefIzAwUNGhEREREdULg9b9iN+fvS2z3uMVrlBRYRKuEM9+Bbb0rPz5fsmAhnzWWqLiVUfSDQDnR59HE80mcm+Xak6tTsh1dXURHh6O8PBwRYdCREREVG+M3f4zLj96UWa9+C9doCrkytk16u+HQIRd5c/3TQC0GssvHpJ6m/MW9v+1l3u7J0aeQHOd5nJvl2qHWp2QExEREVHNmHPgFo7E/Vlmvd+WOUNDTVgDERFeJQLrbSp//oJ4QMdAbuEQkJmbiR77e8i93eiPomGiZyL3dqn2Y0JOREREVE8tPXYPX8UmlFnvTvAg6GrUjpWL66w3KcC69pU/f95vgJ6R/OKpx97lvYP/a3/47/eXa7uHhh2CZWNLubZJyo8JOREREVE9su7071h/9mGZ9X7xd8IHOkW3kiU5ePscCLWo/Plz7gANTeUXTz2UnZ8Nu71VmPpfggNDD8D6A2u5t0t1FxNyIiIiojouKjYBwcfulVnvsl9/GDfUrIGI6pHMlxhxawJwq5Lnz7wJfNBariHVF7n5ubDdayv3dve57kMng05yb5fqJybkREREVHH5+cDFi0BqKmBkBDg4AEI+V1ybfHfrD8z9v9tl1js73xGtDXRqIKJ6IOsNsEr2znWFJvp/cRVo2k6uIdV1uaJc2O6Rf9LtpeOFL4Z/ATU1PqpB1YsJOREREVXM4cPA7NnAH3/8W9aiBbB+PeDurri4COd+e4bPom6UWe/76b1gY9Kw+gOqy7LSgFVVWITr858Aoyos2FaP5Iny0GVPF7m3u3PQTnQ36l6kPDc3F9HR0XLvj6g4TMiJiIio/A4fBjw8ALFYtjwlRVJ+6BCT8hp2LeElRkdeKbPefq8e6NmG+xVXSk4GsMK40qf/1DYQ9qNm8W5rKfJF+ei8p7Pc2410ikTP5lXYo52omjEhJyIiovLJz5fcGX8/GQckZQIBMGcOMGIEp69Xs3upaRix+ecy6239tCucOxjWQER1SG4W8GWzyp8/8QegVe9/m8vNxSvebQUAiMQi2OyW/6yAiP4RcDRxlHu7RDWBCTkRERGVz8WLstPU3ycWA8nJknp9+9ZYWPVFwt8Z6Bd6AYAqcKXkZHzNyE4Y3Y37GZdLXg6wvAr7dI/ZC1gNk188dYBYLEan3fJf8Gxd33Vwaukk93aJFI0JOREREZVPaqp861GZnr7Jwocrz5ZZb7FrO3j34UrcpRLlA0sbV/78YeuBrhPlFo4yq66ke02fNXAxc5F7u0S1GRNyIiIiKh8jI/nWo2K9zsxB56Wny6z3uaM5FrlY1UBESkgkApY2qvz5g1cC9l/ILx4lVF1Jt193P4yzGif3dqnuyn74EG+OHsW7W3FQa24MFR1dNJkxHaqNqvAzXoswISciIqLycXCQrKaeklL8c+QCgeS4g0PNx6bkMrLzYB10ssx6HrbN4aD+BK6urlwgrIBYDIQ0rPz5/fwBRx+5haNsuuzugjxxnlzbnNd1HiZ1mCTXNqluyX70CG+OfI83R48i79mz8p/4zyYSAlUhmi1aVD3B1TAm5EREdR33iyZ5EQolW5t5eEiS78JJuUAg+T08nN+vcsrOy4el/4ky6/W1NEDUJMnWTJLtmJ5Ud2i1V1WT715zgIEh8opGafT8b0+k56TLtc3pnadjqs1UubZJyi378WO8+f4o3nz/PfKePq3WvvRHjKjW9msSE3IiorqM+0WTvLm7S7Y2K+57FR7O71UZ8kVitF5c9orb1sZ6+GEWZxogWL/y59pNBoaGyS+WWq7/wf74691fcm1zSscpmGU7S65tknLJvHkTz1evwbvbt2u8b6G+PvRGDIf+8BHQsG4PQcGF3zqGCTkRUV3F/aKpuri7S7Y248yLchGLxTBbVHYS3kRHHTf86/Eq0lVJvjt9DLhHyi+WWmrI4SFISk+Sa5vj24+HbzdfubZJtdu7uDg8W70G727dqvG+VfT0oD9iBPSHD4dGB+s6m2RXBBNyIqK6iPtFU3UTCrm1WRla+f1QrnqJq4ZUcyS1UFWSb0tX4JP/yi+WWmbk0ZH4/dXvcm1zjOUY+H/oL9c2qXZ5+9NPSPb+XGH96zg6osmM6dDo0IFJdgUxISciqou4XzSRQjAJL0ZVkm8DK2B6yXuuK6tPoz/F7b/kOwXYrY0blvVaJtc2SbHeHDuOP30Ut+CgmokJmvosgO7AgUyyqxETciKiuoj7RRPVGCbhhVQl+dY1Aub/Jr9YFMzrpBeuPr0qfe2/v+p3qF1auWCN45oqt0OK8+rgQTwNDFJY/2rNm6Opry90BzHJri2YkBMR1UXcL5qoWjEJR9WSb1UNwL8CWx3VUqOPjcb9l/fl2mZfk77Y2H+jXNuk6vX60CGk+gcoNIamvr5oPNETAhUVhcZBFVfphPzixYuIjIzEo0ePcOjQITRv3hx79uyBmZkZevfuLc8YiYioorhfNJHc1eskvCrJNwAEv5FPHApQHQup2RvZY9ugbXJtk+RL75dfEL/QT6ExNPr0UzRb5AcB13qp0yqVkH/77bcYP348xo0bh1u3biE7OxsA8ObNG6xYsQLR0WWvJEpERNWI+0UTyUW9TMLrYfLtcdQDD149kGubtk1t8bXL1//sHR8NV1dXqKmpybUPqpg3x47hT5/yrShvWE0xaDv2gcmmTRCocqIySVTqm7B8+XJs3boVEyZMwIEDB6TlvXr1wvLly+UWHBERVQH3iyZ5y8+vF1ud1askvB4l3xNiJuDWc/lu89RQvSEufnxRrm1Sxbz54Qf8OX+BQmPQ7tULJlu3QMALLlQJlUrIHzx4gD59+hQp19fXx+vXr6saExERyQv3iyZ5OXy4+Is769fXiYs79SIJrwfJ9+enP8flPy/Lvd07nnfk3iaVLO3ESaTMmaPQGDJbt0bHbw6igZaWQuOguq9SCbmhoSHi4+PRqlUrmfJLly7B3NxcHnEREZG8cL9oqqrDhyWPP7y/HkFKiqT80CGlTMrrdBJeh5Pv2edm41zyObm3y6S7er3+7ghSFy1SaAyadl3R8quvIGjQoNR6BY8ZdOIdb6oBlUrIp0yZgtmzZ+Orr76CQCDAn3/+iStXrmDBggUICFDsCoNEREQkR/n5kjvjxS0OKBZL1iSYM0cyE0MJZl7UySS8Dibf085Mw6WUS3Jvl0m3fCl6n2wA0LSxgeme3VApI8kmqq0qlZD7+flBJBJhwIAByMzMRJ8+faCuro4FCxZg5syZ8o6RiIiIFOXiRdlp6u8Ti4HkZEm9WjoToy4l4WpfNsEIAKjso9C1KPmef2E+Tj05Jfd2mXRXTVpMDFLmzlNoDBodO6Ll3j1QUVdXaBxENaFSCblAIMCSJUvg4+OD+Ph4vH37Fu3bt4eOjo684yMiIiJFSk2Vb70aUieS8JBGgFhU+fNrQfLtf8kf3z/6Xu7tMumumLSTp5Aye7ZCY1DR0oLFpYtQ4TPZRDIqlZDv3r0b3bp1g5WVFdq3by8tz8rKwsGDBzFhwgS5BUhEREQKZGQk33rVSKmT8DWtgcy/K39+eZPvalgpf/nPy/F/D/6vSm0U538T/gdBwTaNVET6mTP4Y4ZiZ6YKNDTQNvYSVLS1FRoHkTKrVEI+ceJEaGtrIyoqCiNHjpSWv3nzBpMmTWJCTkRE9WaLrDrPwUGymnpKSvHPkQsEkuMODjUfG5Q0CY/oBvz9e6VP/77L7srtaV2FlfKDLwfj24ffViLa0jHplpV+4QL+mDpNsUEIhWh79SqEOkyyiWpCpXekDwkJwfjx43Hnzh0EBwfLMSQiIlJ6dXyLrHpFKJSMm4eHJPkunJQXJFLh4TV6sUWpkvAdA4E/rlX+/PfufOfm5gLR0RVvpxwr5a9u8RB77++tfKwluD3hNlQEKnJvV1lkXLyItgv9EL/QT6FxtL1+DUJdXYXGQERFVToh//TTT9GzZ0989NFHuHv3Lvbs2SPPuIiISEkJvvsO+PjjOrdFVr3m7i4Zt+IusoSH18h4KkUSvtcDiD9d+fOr65nvMlbKFwF4NuVj7A9tC6hU7m71rfG3oKpS6f9WKp30s2fxx/QZig4Dba9dhVBPT9FhEFEVVHpRNwD48MMPcfXqVQwfPhw9e/bE1q1b5RocEREpmfx8COfNqzNbZFEh7u6ScavBxxBqdRK+bxTwsAorhAe9/neGgZxtjtuMLbe3SF/b3X+LXaWslK8CwOhlLmwfZOCGVckL9N789CbUhHV3X+a0EyeQMmeuosNA25+vQNiwoaLDIKIaUqmEXFzoP1qmpqa4fPkyxo0bh4EDB8otMCIiUj4f3LsHQUpKyRWUYIssKoVQWO3jViuT8P+OBR6UL65iBb4CVOQ7ZTvqXhQ2xG0oV12DN3nlrnfj0xtQF9adrabSTp9GysxZig4D8YEBcB41quLP/RNRnVephDwoKEhmizMtLS189913CAoKwk8//SS34IiISLlovHpVvoq1bIssUqzyJuEJK12rfwGw76YBt/dX/vzAl4CKfGYN7Lu/D6uurSr+YFz52/lLv3z/3VszZg+gBMl4+rnz+OOLLxQdBiwu/gRVA4My6+Xm5uL3yjz3T0T1QqUT8uKEhIRUKRgiIlJuWY0ala9iLdgiixSrvEn4oxWuEFbyueYyxfgBV7eUXa8k/n8Bqg2qFMK3v3+L4CvBVWqjOFc+uQKdBv/cPMnPB/a1qrUr5QO15052m7NnoNa8uaLDIKJ6pNwJ+dGjR+Hi4gI1NTUcPXq0xHoCgQDDhg2TS3BERKRcXrRvD3Hz5hD8+Wet/Y8/KY7Fkmjk5hfzvXjPb8ucoaEm52fTz68Aflxd+fMXpwINtCp16vHHx7Ho4qLK912CSx9fgr66ftkVFbRSfm25k936zGk0aNFC0WEQERWr3Am5m5sbnj59iqZNm8LNza3EegKBAPn5+fKIjYiIlI1QiPywMKh+/HGt2SKLFKt/6AU8/jujzHr/Cx4EPQ05PV97OQI4taTy5/slARrlSHQLiX4cjYUXF1a+zxL8OOZHNNZoLH2dm5uL6Ojoiu9DLqeV8mvL6uKtT51EA1NTRYdBRFRl5U7IRSJRsX8mIiIqTPzRRwrfIosUa9yOnxEb/6LMeteXOMFAt4rPLP8SBRybXfnzfR4D2h+Uq+qZJ2cw94L8V+E+N+ocDLTKfha5ykpYKT/9p5/wRzur6u+/DObHjkLdwkLRYRAR1agKPUN+5coVvHjxAkOHDpWW7d69G0FBQcjIyICbmxs2btwIdfXavyAIERFVIwVskUWKNf/gbXx7s+SttQr86NMXLT/QrlwncfuBI9Mqdy4AzPsN0Ct9/YKzSWcx5/ycyvdRglMjT8FIp+bWTnj7449I/nxqjfVXErPvv4eGZVtFh0FEVGtVKCFfunQp+vbtK03I79y5g8mTJ2PixImwsrLCf/7zHxgbGyM4OLg6YiUiImVSA1tkkWKtivkNW398VGa96FkOaG+sV7HG7x0FDo6vZGQAZt8GGrUq9lBsSiymnpF/snrM7Rha6Rffpzy8vRSLZC8vtAUQv9Cv2vopS6tvDkKzY0eF9U9EVJdUKCGPi4vDsmXLpK8PHDiAHj16YPv27QAAExMTBAUFMSEnIiqP/HzeQSals/NSApYdv1dmvf/z/hA9zMs3FRy/nwT2j658UNOvAQaWMkXXn17HZ1/Lf5HZw8MPw6KR/KZVZ1y5gqRJn8mtvcpquX8/tGy7KDoMIqJ6p0IJ+atXr9CsWTPp6x9//BEuLi7S1926dUNycrL8oiMiqqsOHy7+Gev16/mMNdU63936A3P/73aZ9SLHd8Vga8PSKyVeAqKGVD6YKeeA5l0BALee38KEmAlAtEfl2yvGPtd96GTQqdLnZ964gSefVuHuvpyY7v4a2t27KzoMIiIqRYUS8mbNmiEhIQEmJibIycnBzZs3ZfYeT09Pr9iKn0RE9dHhw5Lth97fFiwlRVJ+6BCTclK48789x6So62XWW+PRCaPtTIo/mPILsL1/5YPwPI5fdRvj4x8+/rfszMTKt1fIrsG7YGdoV+76GdeuIWmCp1z6rgrjbdtw4dXLiq+yTkREtVKFEnJXV1f4+flh9erVOHLkCLS0tOBQaC/Z//3vf2jdurXcgyQiqjPy8yV3xovbo1sslmwNNmeOZEE0Tl+nGvbLk1cYueVymfV8Bltier82soXP7wObP6xUv/cbqGF082IWPPupantYRzpFomfzniUez/j5KpImTqxSH/Jgsi0SOn36lKtubm4uEB1dzREREVFNqVBCvmzZMri7u8PR0RE6Ojr4+uuv0aBBA+nxr776CoMGDZJ7kEREdcbFi7LT1N8nFgPJyZJ6XBCNakBqJmARcKrMepN6tULQMGvJi1dPgOCK7dP9WE0VI1oYVybEUq11XItBrf79v0fmzZt4Mnac5MXKybgv9x7Lp8WWzdDt109BvRMRkbKoUELepEkT/PTTT3jz5g10dHQgfO/uzTfffAMdHR25BkhEVKekpsq3HlElpLx+h16rzv3zquT/CgztZISIoYZAmBXwCyS/SpGsKoSrSXO5xVkgrNEUtPDdUvzBlbNrLOk2XhsK/SFVeP6diIjoPRVKyAvo6xd/Vbxx48ZVCoaIqM4zKuc+xOWtR1ROLzNyYLvsdKl1GiIdcRqf/1vwO4Aw2TpPhUIMNK160m2ZLMayvfnlrF1CMi4HhktD0Gh0FVZ4JyKqILFYjJx3eUh/mYX0F1lIe5GF9JdZePvP7+kvs/AuPVfRYdZqTpPaw7JHGYuIKolKJeRERFRJDg6S1dRTUop/jlwgkBwvtD4HUWVlZOfBOuhkscd0kIm7Gl7FHvtbqIJ+pi0q3F/rP8VY+XV5k+zqYxgUiEaffKLoMIjqFLFYjLevsvEi5S1epmbg1Z8ZeJkq+ZWXI1J0eNVAF9tiLio6CCpBxutsRYcgN0zIiYhqklAo2drMw0OSfBdOygUCye/h4VzQjSotJ0+Etv4xMmXqyMEDjYkyZa9VVNCxpWmZ7ZmlirE6SvFJtsG8eWjiPUXRYZCSEYvEeJmagWeJaXiWkPb/7d1peBRV/vbxu7OzJOxLIJFFBAEBcRAERBIBQRwHjbjLqH+XcQdXQAcBHQVHBkHHEfVR3GUQAjqyKCLBiAiIqKDCAAMCIYggkIQ16a7nRZtIZ+sl1V1d3d/PdXFBqk+d/iWHSripU+fo522HtD/vsAWVEO4AbxwxDsUnxiohKVbxib/9SopVfGKc4hNj1aB5bTVrk6LaKQlqnJZsdbmmIZADQKhlZbm3NqtsH/Jp09jyDH5zuQy1fdi98na8SrQ96c+SpEKHQ31au7ck66Lfw3ernw09/apTs1US+mJP0uiWW9T0/vssrSEcuVyG9mw9pB0/7NeO73/VLzsKy7Ug3AF2l3pqPdVtmKTkhklKbpioug2TlNKoluo2TFRCEhEtmjDaAGCFrCz31ma5ue4F3FJT3dPUuTMOHxmGoVPHfqgNtUaoV+t0nd7E0DMvu+9k/6jfVzMPVeh2xsRpb5OztK/7pfrlWIpvJ22WdNunXpsBCB91GySqYWodNWhRRw1T66hhizpq0Ky2EmvHW12aaYqLi7Vw4UINHTpU8fGR83khPBHIAcAqsbFsbWaxE8dK9N/VP2vjynz9vK3A6nL8dr/qaObBbN3226L8n2ZYWo7bMasLACpXKyVBzdukqHnbemrWJkWN0+qGJEQS7gBUh0AOADZz4liJdv14QDt+/FU7f9ivgn3hlICYSguYrV7TWjqlUyOld2qoJq3qaGnOx4Q7AIgQBHIAIXHiWIl+2VGovT8V6udtBdq7vUCFv3oLkoQ7wM5atq+v0/ukqk23JkqsxT85zFBc/NtWSE6ntGIFj7wAgM3x0xGoRkmxU0W/Htfhg8dVdOCYCg+4/1z6q+jgcR05dMLqMgGYqE23xjq9d6pSG57Q9gsGWl2Ovuzg0NSsWLU9Uaz38/LV+tg72j75IlP6ZiqtPaWuXKm4O+90b59YKi3NvYMDi0ICgK0QyCOQs8Sl40dKdOJoiY4fdf9+8p+PHy3R8cMlOn60WCeOOiu0O3G0pNLtke2Pu62ITI3S6uqUjg3VumsjNWtTT7FxMZbUYYdwV/zzXm3p37/6RjnS8enS9iDW8VU7h/5+ecW7mU1KSvTpzt1lH7c+9o77Dz9K7/8WwoNZF8KfY948nf3UUxVfyMtzb6c4Zw6hHABshEAeJhbNWK+iA8e096fyW5sAkSU2PkZNWyWraesUNWuVoqatk5XSqJYcMQ6PdnYIdwgPJfv2afO5/awuQ9+1duhvV3ufMpzocumrn3ZpxDbP462PvaNCSa1POmbWnXBUwum03y4HTqdi73NvE+co/5phSA6HNGqUeweHcP9cyrPjeACACQjkYWLfrsIwW5gp+sTEORQXF6MTx5xKrB2nOvUTVad+ouo2SFTd+omq2yBJdRsmqm79JNVpkKiEpFg5HBX+SQTABCW//qrNffpaXYY2pkmPjgjsR+X6bTuqfK3sznclCOEhkJ0tjRwp7dr1+zE7TPnOzZXj5Gnq5RmGtHOnO9jaaQcHu44HAJiAQB4mMq49Xc5il1wuQz9+ka9jRScUlxCrmFiHdnz/qyT3f3wn1Ior+5VY9udYJdaKV2LtOCXWLv+aZ7u4+Oj832butgLWcxYU6L89e1ldhrY0lx6+0Zwff9WF7lLVhe9ShPAQys52T+0u/2yWHaZ85+eb2y4c2Hk8AMAEBPIwkd6xYdmf257ZxMJKAMB3zqLD+m+PHmUft5e0ZfSYkNeR0O5UXXL5T0Hp25fQXWbCIbUes8CnpoRwCzid7juxlS2UYocp36mp5razmt3HAwBMQCAHAHhwHTmiTWf9weoyFH/KKWr38Ucex7q83qWK1jUL436F7lITDpX9sSyEewnjhHCL5eZ6TosuL9ynfPfrJ6NlSykvr+Iz5JI7wKaluZ+/tgO7jwcAmIBADiC4WKgnLLiOH9embmdaXYYS2rbVqQurD62/h+7dUpUB3H8Bhe5SJ4XvUtwJtyG7T/mOjZVz6lTFXnmlDIdDjpPvLJeuaTJtmn2+x9p9PADABARyIFKFQxBmoZ6gcp04oU1du1ldhhLbt1fbD973a62Gqu9018z669dLE+rVrJNKwncpQrjNRcCUb+PSS7Vm9Gid/dZbFfchnzbNXt9bI2A8AKCmCORAJAqHIMxCPQExiou1sUtXq8tQUreuavPvf9eoj6CG7lLlw7e/Ybya8F2KEB5B+vVzfy/My6v8uWWbTPnO791bJRMmKP7LL+09+yhCxgMAaoJADkSacAjCLNTjwSgp0cYzghNO/WFGyC6vstD913f+WuN+PUJ3qdKwHegdcB/Cd6mwCOHhMMsl0sTGuv9jcvhw9/chO0/5jo21/3PVkTQeABAgAjkQScIlCEfBQj2G06mNnc+wuoyghOzyQnKnu7wgTjuvSliE8FLhMMslUmVluf9jsrKvr92mfEcCxgNAlCOQA5EkXIKwTRfqMVwubezU2eoylNSpk9pkzw3pe1oSuktZEL5LhVUILxUOs1wiXVaW+z8mmYEQHhgPAFGMQA5EknAJwmG0UE+4hOzaPXqo1VtvWlpDsEO3T4u6WRi+S4VlCC8VLrNcokEkTPmOJIwHgChFIAciSbgE4SAv1GMYhjZ27FTDImsu6Ywz1GbOe1aX4cHSO93lTWwoGc7A39SE8F3K1xC+bdJQORyV7vAcGuEyywUAAIQEgRyIJOGyYm0AC/UYhqFN3c+ScexY2bH2kraMHhPcWsup3fsctZo5M6Tv6a8hc4coryjPe0M/BRS6Sz3dTvGHf9EwSVoXwPkmhu9Svobw/z05VDExFobwk4XLLBc7YNE7AEAEIJADkSScVqzNypLx3nty3nCD4oqKyg4Xx8bq56bNVPjwI9LDjwS/Dkm1zjpLrd95OyTvZZbLPrhM/z3wX9P7rVHoLvV8L+mXjYGfH4TwXcrXEL75iQsVHxsTtDoCFi6zXMIdi94BACIEgRyINEFesdYwDOU//IgOzZvn2wktWqr20SOKK3GqJC5WR2rV/v0/B2ogqUsXtXlvdo37sdJdS+/S8l3LTe/XlNBd6u0rpM0fBX7++IOmjHd1evxtifYVnfDa7ofHBqt2Qpj/2AuXWS7hjEXvAAARJMz/ZQIgIH6uWGsYhvb983nte/5582txOHSkdh2fmiZ27Ki287Il+bhAmA08sPwBfbS9BoG2CqaG7lLZt0rfBb6FWvHDe7Vw0eKQjNnFz32u9Xne77SvGzdIDeokBLUWU4XTLJdwxKJ3AIAIQyAHIlVsrPb9+KN+mf6spWU0uOYaNX90nKU1BNu4FeM0f8t80/v97s/fBW+BsYUPSqtfCvz8cful2HI/QoqLa1aTF7e88ZWW/PCz13Yrx56v1Hq1glpLULEvc9VY9A4AEGEI5IDN7HvxJf3yzDOW1lD/6quUOn68pTWE2pOrntS7G981vd+ghu5SSx+Tcv8R+Pl//UWKs+Yu81/nr9dbX+7w2u6T+/qrXdO6IagoRNiXuXIsegcAiDAEciAM7H/lVe19+mlLa2h8xx1qfPdd1m75ZLGXvntJz617zvR+v/3zt4pxhGgBsc+fkT6ZEPj5j+yR4oN4d9mHlbGfXbpZU5d4X9Bu/p19dWZ6/SAVGgbYl7kiFr0DAEQYAjkQJIc++EC7HxptaQ2Nbr1VTe4dFdUhu7zXv39dU76aYnq/60asU1xMiL+lrntLev/OwM8fs1NKSql5Hb+FbMfOnWr000/S4MFSZc+QV7My9tst/6BH5m3w+lZv/F9Pnde+Sc1rhj2x6B0AIMIQyAE/HPpwgXY/8IClNTS86f/U9IEHCNnVmLVxlp5Y9YTp/X494mvFx1i0wNyGbGnOjYGf/9A2qXZD8+opdVLIjpN0riRjxgzp2Wc9n3WuYmVs165d0mWX6bNLHpY69Kn0LZ69urv+1K2F+bXDflj0DgAQYQjkiHqHV65U3kMPyfnLPstqaHjjjWr60IOEbD/M2zxPj37xqOn9rr1urRJiLV6V+78fSe9cEfj59/9XSm5mXj1VqWr7qd27PbefqmZl7BhJLknjl76kJaf1kivGHaQm/qmzru/Tuur39mHqOyIUi94BACIIgRwR6fCXq7R79GiV/Pz7isztJW0ZPSZkNTS57z41uuVmQnYNfHviW/31nb+a3u+aa9coKS7J9H4Dsi1Xev2PgZ9/7/dSvTTz6vFVNSHbUW77qe3zFqt1NStjx0hqUbhPk5oc1JUP/tn7e1cz9Z0wFiVY9A4AECEI5LCNw6tXa/dDo1WyZ49lNTQZNUqN/nIrIdtEn+36THcurcFz0FVYdc0q1Y6vbXq/NbJ7nfRSRuDn37NOatjWtHJqxMftp64a8Xc1LTogXzbfuzLNh8cBqrorn5fneVcekY9F7wAAEYBADksdWbtWux8areK8PMtqSH3iCdXLupSQHUTr9q7Tnxf5cOfTTyuvXqm6CWG61dXeH6V/nRP4+Xd8KTXtaF49ZvNxW6mmRQe0t24D3/r0tjJ2NXflVe6uPHdKAQCAHRDIYbrjW7Zo/6szdSg727Iamj82UfWHD5cjxr3VVHFxsRYuXKihQ4cqvrLVn1Fjm37dpOH/GW56v8suW6bGdRub3q+p9m+Vnjsr8PNvzZFadDetnJDwcVupvXUbaHVaZ+2r30SND+2r2crYPt6VV24ud04BAIAthH0gz8vL0+jRo7Vo0SIdOXJE7dq108yZM9WjRw+rS4sqx7du1f5XX9WhuRaG7IkTVf/y30M2Qm/LgS269INLTe/3sys/U4Mkz7uopf+JUi+xnunvVyOHdknPdA78/Js/ldL+YF49FjhW7FSnhQX6PLmxmhfuU2VXpEvSvvpNNevNh9x3q8+ZUfOVsX28K+9zOwAAAIuFdSA/cOCA+vbtq8zMTC1atEhNmjTR5s2b1aCBj9MfUa3j/9umX2e+qoPvzbGshmaPjlODq64iZIeRXYW7dGH2hab3+/lVn4dfuPamaK805bTAz79hgdT6XPPqsVCJ06V2jyz6/UBMrCYOuFUvzH9SLskjlBsOh2IkNX3lhd9DthkrY/t4V97ndgAAABYL60D+1FNPKT09XTNnziw71qZNGwsrCn/Ht23TrzNf08HZsy15/9o9eqjh//2f6mb0J2SHsT2H92jQnEGm91vZnW7bOHpAeqp14OdfO0c6zfyvqZUMw1CbsQurfP2jDn10+yUPa/zSl9Si8KRtA1u2rHzF85qujN2vnzvA5+XVbOo7AABAmAjrQP7BBx9o8ODBuvzyy7V8+XK1bNlSd9xxh2655ZYqzzl+/LiOHz9e9nFBQYEk9/TX4uJiU+oq7ces/rw5sWOHDr7+ugpmvxeS9ysvqXt31b/hBtXxI2SXOJ3uBZjCRKjHLBz8cuQXDZ4/2PR+l1y6RI1qNarydVtcZyeKFP9064BPL7lspozTL674QoT8/Tpt3Mc+tdv8+AWSLpCc41Ty+edy7tqlNbt26ayRIxWflFT116Nv39//7HK5f/nI8Y9/KPaqqySHw7292m+M36a+O6dMkeFnn9EsGr832h1jZj+Mmf0wZvYTjmPmay0Ow6jsNkN4SEpy7xN833336fLLL9eaNWs0cuRIzZgxQ9dff32l50yYMEETJ06scPydd95R7dphtgXSSVLWrlXcwYOqs+m/qvXTT0F/v6OtWunAef1U1KmTxJ1s2ypyFWlywWTT+x2TMkZ1Y8J09XI/xbhO6OJvbw74/K9PuVU7G0XGtPPqjFzp2//PTu9dEuRKvEtduVJd/t//U639+8uOHWncWBtuukn5vXtbWBkAAIDbkSNHdM011+jQoUNKSUmpsl1YB/KEhAT16NFDX3zxRdmxe+65R2vWrNHKlSsrPaeyO+Tp6enat29ftV8IfxQXF2vJkiUaNGiQaSt2bx90QY33107s2lUNbrxBdTIz5WDLHw/BGLNQOXDsgAZkDzC9348u+UhNajcxvV+zBDRmzhOKn9wi4PcsufifMrpeFfD5duPfnXDvQnqdOZ1yfP552dR349xz2eosAHb+3hitGDP7YczshzGzn3Acs4KCAjVu3NhrIA/rKeupqanq1KmTx7GOHTtq7ty5VZ6TmJioxMTECsfj4+NNHxwz+0wZfIGcRUWSy9ChefMkSbV79VKdvn2V1LGj6vQ+R464sB4uWwjG3wMzHDp+SOfOMv8u7JLhS9S8TnPT+w2lKsfMWSI9XvXUea+GTpF6ej7+Eg1XWOsxC3xqt33yRQG/R0ius/h4aeDA4L5HFAnX742oGmNmP4yZ/TBm9hNOY+ZrHWH978++fftq06ZNHsf++9//qlWrVhZVFDzNxo4t+3OLSU9aWAmC5UjxEfV6p5fp/S6+bLFa1m1per8h5XRWXOjrZC6X9FgNFosbOFE6d1SNSrSzUIRwAAAA+C+sA/m9996rPn366Mknn9QVV1yh1atX66WXXtJLL71kdWlApY6WHFXfd/uq2GXughILLl2gU1JOMbXPsJGdXXErrBSH4ockaVjHeGmdn/2d95B0/iOmlmhHhHAAAIDwF9aB/Oyzz9a8efM0duxYPfbYY2rTpo2mTZuma6+91urSEMWOlRzT+bPPV2Fxoan9vn/J+2pbr62pfYa9uXOl4cMrHi8wpNlHpSskdaxmus85d0hDJgWtPLshhAMAANhLWAdySfrjH/+oP/7xj1aXgShzwnlCg+YM0q/HfjW134i+0+2LCfV+/7PLkKYXVd9+8TGpQ5wU45C6XycNez649dmN06mrRvxdTYsOaG/dBopJ6yxXTOULm5kSwit7tICF1AAAAAIW9oEcCJZiV7Huz7lfy3YuM7XfDy75QG3qtTG1T1sqDd8uQ9rhlAoNKdkhnRLrDtg7nO474dUpMFRyXrbiWLzLQ+sxCzR40xcav/QlzSrcV3Z8d3JjTRxwqz7q0EeSyXfCK3u0IC1Nmj5dysoy730AAACiCIEcEa3EVaLRn43Wxz+5t3f66zt/NaXfeX+ap3YN2pnSV0Q4+c73yX4sdt/lPjl4pzikIUmSr9tZ5+fXuLxIcPJ09MGbvtAL8ysu/ti8cJ9efH+SNGeOuSE5O9v9aEH5XTLz8tzHzX4/AACAKEEgh+05XU6N/XysFm1bZGq/cy6eow4NO5jaZ0SoKnyX92Ox+znw8golvXdMmjBByh7vvZ/UVH+qiyiVPRMe43Jq/FL3wpYx5V8r/cOoUdKwYeZMJ3c63XfGy4dxyX3M4fj9/QAAAOAXAjlswWW49OiKR/X+1vdN7Zfp5V74Gr7LcxnSp1WEwdIQ9/LL7inPeXmVhj3D4dDRRo0Uf675+7OHM28Ls/Xc9b1anDRNvQLDkHbudD/rnZFR84Jycz2nqVf3fn371vz9AAAAogiBHGHDZbj02MrHNHfzXFP7nT9svk6pc4oWLlyooUOHKj6+mlW7o9mMc6U96wM7t9s10qUv/P5xTo70eGbV7Q3DHfImTnTfKXc4PEO5wyFJ2nDTTeoeBYuG+bU6+rsF0rs+NDZrqr+v/fBoAQAAgN8I5AgpwzD05KonNWvTLFP7nfunuWrfoH2VrxcXm7svuO29OkTasTKwczv+Sbryzerb+BrOTjvN/fxxJYuFOadMUX5ioroHVmXYC3iLMl+n8Js11T/U7wcAABBFCOQwnWEYmrN5jh5b+Zip/c7+42x1bNTR1D6jwluXSVs+CezcUwdII7L9P8+fEJeR4X7+uNx2WobLJS1c6P97hzFT9gnv16/aqf5yONyv9+sXYJU1eD+Xy5z3BIDy2HYRQIQikCMghmFo3pZ5Gv+FD4ty+eHdi97VGY3PMLXPqPLvEdKPHwR27hmXScNfNacOf0NjbGzF550jJNyZEsJPFhvr3mps+PAqp/pr2jTz/qHqz/tFyJhFJMIM7IxtFwFEMAI5qmQYhv7zv//okc8fMbXft4a+pW5NupnaZ1Sad5v0rS8PE1ei/YXSNeY+NuAh1KExzJgewsvLyqpyqr+mTTP/H6ihfj+Yq7owc/HF1tUF+IJtFwFEOAI5tOB/CzQmd4xp/Z1a71RNzZiqtvXbmtZn1PvwXumrAO9etzlPuv4/5tbjC6tCnEV3Ajs9ulhHTji9tgs4hJeXlVXpVP+gfa6hfj+Yw0uYccyaJSUmWlMb4I0/2y7yvQiATRHIo8Ti7Yv14PIHTeuvVUorPZPxjE5rcJppfeI3Hz0irfxnYOe2OEu6dZm59dREqENciKc1Zk7J0bZ9h7222zZpqBylMwPMVNlU/2AK9fuhZnwIM7H33+++PoBw5M+2i3xvAmBTBPIIsvSnpRqVM8q0/lrWbalpmdN0esPTTesT5Xz6hPTZ3wM7t3EH6a7V5tYTDKEKcSGa1njFjJVavf1Xr+3+9+RQxcQEIYQDvvIhzDh27VKjH35g6jrCE9suAogCBHKbydmZo7s/vdu0/prXaa5pmdPUuVFn0/pEFb5+Q/ogwLFLSZPu+97ceiJJkKc13v7WWi3asMdru81PXKj42Bi/+w86FvSKTj6GlKQDB4JcCBAgtl0EEAUI5GFo84HNevvHtzV381xT+mtSq4mmZ05XlyZdTOkPPvhutpR9S2DnJtWTxuwwt55IF4RpjePmb9CbX/7ktd2Pjw1RrYQwDresThy9fAwpxxo0CHIhQIBCvc0jAFiAQB4GDMPQhJUTtPXgVn37y7cB9dEwqaGePf9ZVi+3wvfzpfeuD+zcmDjp0f2mlhOVTJrW+OLyrZq0aKPXbr6bcIFSkuJ9e08rsTpxdPMhzBgtW2p/p06hrw3wRZTv2AEgOhDIw4DD4dBXe77SjsLq74qmJKTonwP+qe5Nu4eoMlSwcaE06+rAzm14qnTP1+bWA7caTGuctXqHxmSv93rqmkcGqkmyjVajZnVi+BBmnP/4B+OP8Ma2iwAiHIE8TNzV/S45HA61Sm6l1Dqpqp9U3+qSsOUT6a3LAjs3OVW63/udVpjEz2mNC77L153veP/PkRVjzlfL+rXMrjY0WJ0YktcwY1x8sbRwoXX1Ab5g20UAEYxAHiYubHOh1SVEt93fSC/1D+zcpPrS6O2/T59D6PlwJ/D7hybqokcWe+3q0/v7q22TusGqNHRYnRilqgszxcVWVwf4hm0XAUQoAjmiz54N0oy+gZ0bEyeN20f4DkdV3AncXbeRJg64VR/talrlqQvuOVedW9QLRZWhw+rEOBlhBgCAsEQgR2Tbu1H6Vy/FSxomSev8PP/RA1JMGG5jhcplZemHszP12OgZalp0QHvrNtDqtM5yxVSc1vjebb11duuGFhQZIqxODLtimz4AQBQhkCNy7N8qPXdWYOc26Sjd/gXh26a27zusjCk5vx84pWul7WbeeLYyO1R9pzyisDox7Iht+gAAUYZADns6sF2aHuAWbw1aS3d/LVVy1xT2sefQMZ0zaanXds9e3V1/6tYiBBWFIVYnhp2wTR8AIAoRyBH+Du6Upp0R2Ll1m0n3/qBil6GFCxdq6NChio+3wf7RqNSvh0/orMeXeG335KVddE2vU0JQkQ2wOjHsgG36AABRikCO8FKQL009PbBzk+pJD2yR4hIqvuZiJWGfhdnzm0XHS9R93Mde2z00pIPuyGgXgopsiAW9EO7Ypg8AEKUI5LBO0V5pymmBnRubKI3dKcUlmltTtAuT5zePFTt1+riPJcVJKz+tst1fzmursUM7hqwuAEHCNn0AgChFIEdoHCuQXugrHdoR2PmP7JHia5lbEzxZ/PxmidOldo8s8tpu+B/SNOXyANcPABCe2KYPABClCOQw3/Ei6dUh0s/rAzv/4d1SQh1za0L1LHp+0+Uy1PbhhV7bDTi9qV654WzT3hdAmGGbPgBAlCKQo2ZOHJFeu0ja/XVg54/dJSUmm1sT/BfC5zcNw1Cbsd5DeNe0FN2U/isL8QHRgG36AABRikAO3xUfld68VNqx0v9zW5wl3fAhd77DVQie32w9ZoHXNi3r19KKMedLkoqLi7VwoffgDiBCsE0fACAKEchRuZLj0tuXS9uW+39uszOk/1vMnW87CdLzm76E8LQGtfT56PP96hdAhGKbPgBAlCGQQyo5Ic26RtrifX/nChq3l27+xL3lGOzLxOc3fQnhSfEx2vj4hYFUCiDSsU0fACCKEMjDSSj2f3aWSLP/LG3yHpoqqN9KujVHqt3Q3JpgvRo+v+lLCG9QO17rHr3AhGIBAACAyEAgDwdOp/TEE+5A9Ouvvx+v6f7PLqc09ybp+3n+n5vcQrrtc6lOo8DeG/bj5/ObvoTwFvWS9MXYASYXCgAAAEQGArnVsrOlW2+V9u+v+Jo/+z+7nNL826Xv/u1/DbUbS3eslOo29f9cRBYvz28yHR0AAAAwD4HcStnZ7sBd2TO7UtX7P7tc0n/ulta95f97JtaT7lotJTcPuGxEuHLPb/oSwiVp++SLglQQAAAAEJkI5FZxOt1Tg6sK46VK93++KUVq7edwxSVJd38t1WsZeJ2ISoRwAAAAIPgI5FbJzfV8TtebQi/BXQ5p1HdS/VNqVBaiFyEcNeZ0qtH69XIUFEjp6WxXBQAA4AWB3Cr5+f61T3Z4fnzPOqlhW/PqQVQ69eGFcrq8/WcPIRw+yM5W3D336Ny8vN+P1XRhSgAAgAhHILdKaqrvbVu2kF7ZwZ0mmKLH35ZoX9EJr+0I4fBZVeth+LMwJQAAQBQikFulXz/33aO8PO/PkT/7HGEcNTLgHzna+sthr+0I4fDbSethOMq/VtXClAAAAJBEILdObKx7Kufw4e5/sFYWyhs1kl56iTtLCEjWv1bo6x0HvbYjhKNGvK2HUbowZW6ux+r9AAAAIJBbKyvLPZVz5EjPf9A2aiTdc4/0yCPcUYJfbpy5Wss2/eK1HSEcpvF1PQx/180AAACIAgRyq2Vluady5ua6/8GamsrKxPDLqFnrNP+b3V7bEcIRFL6uh+HPuhkAAABRgkAeDmJjmcoJv4ybv0FvfvmT13aEcASdt/UwHA736/36hb42AACAMEcgB2ziqcUb9ULOVq/tCOEIqZPWwzAcDjlODuWO35Z5mzaNWT8AAACVIJADYez5ZVv09EebvLYjhMNSpeth3HOP+055qbQ0dxhnYUoAAIBKEciBMPP6F9s1/oPvvbbbNmmoHI4KG00B1sjKUsnQoVo1ZYrOadVKcenprIcBAADgBYEcCAPvfbVTD875zmu7/z05VDExhHCEqdhY7e/SRcbQoVJ8vNXVAAAAhD0COWCRhevzdcfbX3ttt+WJCxUXGxOCigAAAACEEoEcCKFlm/bqxplrvLbb9LchSoxjqi8AAAAQyQjkQJCt33VIF//zc6/tfnxsiGolEMLDgtMp5eZK+fnu/bN5FhoAAABBQCAHgmDTnkINnvaZ13brJ1yg5CSetQ0r2dnSyJHSrl2/H0tLc2/txWrhAAAAMBGBHDDJtn2HlTklx2u7bx+9QPVqE8LDUna2NHy4dPJe2pJ7K6/hw91bexHKAQAAYBICOVADeQePqu/kT722+3rcIDWskxCCihAwp9N9Z7x8GJfcxxwOadQoadgwpq8DAADAFARywE97C46p55NLvbZb/fAANU1JCkFFMEVuruc09fIMQ9q5090uIyNkZQEAACByEcgBHxw4fELdH1/itd3nozOV1qB2CCqC6fLzzW0HAAAAeEEgB6pQcKxYXSd87LXdp/f3V9smdUNQEYIqNdXcdgAAAIAXBHLgJEdOlKjTox95bffRqPPUoXlyCCpCyPTr515NPS+v8ufIHQ736/36hb42AAAARCQCOaLeiRKX2v91kdd2H9zVV13T6ge/IFgjNta9tdnw4e7wfXIodzjcv0+bxoJuAAAAMA2BHFGpxOlSu0e8h/DZf+mtnm0ahqAihIWsLPfWZpXtQz5tGlueAQAAwFQEckQNlyGdNs77M+Gzbj1H57RtFIKKEJaystxbm+XmuhdwS011T1PnzjgAAABMRiBHRDMMQ23GLvzto6r/uv/71nPUq1V9dwhb9bG0IwghzOkk5NnlaxAby9ZmAAAACDoCOSKOZwiv2hv/11PntW/i/iA7W+pfyTTl6dPNmaacnV35NGiz+rcDvgYAAACABwI5IkbrMQu8tplxzZka0rWl58HsbPdCXuVX1s7Lcx+fM6dmgTHY/dsBXwMAAACgAgI5bM2XEP7c1d01pFMTLVy4UAM6NvV80el037WtbJsrw3Cvrj1qlPuZ4kCmVge7fzvgawAAAABUikAO2/ElhP99eFdd0SO97OPi4uLKG+bmek6hLs8wpJ073e0CeaY42P3bAV8DAAAAoFIEctjCqQ8vlNNVyR3Wkzw+rLNG9G7tX8f5+ea2C3X/dsDXAAAAAKgUgRxh68zHPtbBI1Xc2f7N2AtP11/6nxr4m6Smmtsu1P3bAV8DAAAAoFIEcoSV8/6+TDt+PVJtm1EDT9Ooge3NecN+/dwrfeflVf6Ms8Phfr1fv/Ds3w74GgAAAACVIpDDckOn5+qH/IJq2/zlvLYaO7Sj+W8eG+vedmv4cHcwPDkwOhzu36dNC3yxsWD3bwd8DQAAAIBKEchhiSteXKnV236tts1155yiv13SJfjFZGW5t92qbI/sadNqvh1XsPu3A74GAAAAQAUEcoTMEwt+0Mu526ptk9W9paZeeWZoCvJ44yz3tlu5ue7FxVJT3VOozbprG+z+7YCvAQAAAOCBQI6geiFnq55avLHaNhd0aqaX/twjRBVVIzY2uNtuBbt/O+BrAAAAAJQhkMN0M1ds08T//FBtm77tGuntm88JUUUAAAAAEH4I5DDFu6t3aGz2+mrb3Ni3tcZf3DlEFQEAAABAeCOQI2Bz1+7S/e99W22bq3uma1JW1xBVBAAAAAD2QSCHXz78brfuemddtW3+1K2Fnr26e4gqAgAAAAB7IpDDqyU//Kxb3viq2jZhszAbAAAAANgEgRyVytm0VzfMXFNtm3PbNdZbN/cKUUUAAAAAEFkI5Cizcut+Xf3yl9W2OeuU+sq+o2+IKgIAAACAyEUgj3Jrf/pVl72wsto2pzdP1uJR54WoIgAAAACIDgTyKPTdroP60z9XVNsmvWEtffZgphwOR4iqAgAAAIDoQiCPEj/mF+jC6bnVtmlcN1FrHhlACAcAAACAELBVIJ88ebLGjh2rkSNHatq0aVaXE/a27C3UwKmfVdumVnysvp84WDExhHAAAAAACCXbBPI1a9boxRdfVNeuXa0uJaxt33dYGVNyvLbb+uRQxRLCAQAAAMAytgjkRUVFuvbaa/Xyyy/rb3/7m9XlhJ1dB47o3KeWeW235YkLFRcbE4KKAAAAAADe2CKQ33nnnbrooos0cOBAr4H8+PHjOn78eNnHBQUFkqTi4mIVFxebUk9pP2b1F4ifC47p3Kern44uSd+PH6iEOHcIN1xOFbucwS4tLIXDmME/jJn9MGb2w5jZD2NmP4yZ/TBm9hOOY+ZrLQ7DMIwg11Ijs2bN0hNPPKE1a9YoKSlJGRkZOvPMM6t8hnzChAmaOHFihePvvPOOateuHeRqg6vghDRurff/Q5nSq0Tx3AgHAAAAAEscOXJE11xzjQ4dOqSUlJQq24V1IN+5c6d69OihJUuWlD077i2QV3aHPD09Xfv27av2C+GP4uJiLVmyRIMGDVJ8fLwpfVal4Gix/vCk9+no340boFoJsUGtxc5COWYwB2NmP4yZ/TBm9sOY2Q9jZj+Mmf2E45gVFBSocePGXgN5WE9ZX7t2rfbu3auzzjqr7JjT6dRnn32mf/7znzp+/LhiYz1DaGJiohITEyv0FR8fb/rgBKNPSTpW7NQ1L3+pr3ccrLbdhomDVTcxrIcw7ARrzBA8jJn9MGb2w5jZD2NmP4yZ/TBm9hNOY+ZrHWGd5gYMGKD169d7HLvxxht1+umna/To0RXCuJ05XYbWbP9V9/37G+0+dKzKdt+Ov0D1aoXHXzL4wemUcnOl/HwpNVXq10+KoL+/AAAAAPwX1oE8OTlZZ5xxhsexOnXqqFGjRhWO29mxYqcyns7RnoKKQbxzixTN/ktv1eFOuH1lZ0sjR0q7dv1+LC1Nmj5dysqyri4AAAAAliLlhYGk+Fi1blxbR4udOq99E7Won6S7MtspOYk74baXnS0NHy6VX6ohL899fM4cQjkAAAAQpWwXyHNycqwuISimXnGmGtdNLNuiDBHA6XTfGa9s3UTDkBwOadQoadgwpq8DAAAAUYj0FyZa1K9FGI80ubme09TLMwxp5053OwAAAABRhwQIBEt+vrntAAAAAEQUAjkQLKmp5rYDAAAAEFEI5ECw9OvnXk3d4aj8dYdDSk93twMAAAAQdQjkQLDExrq3NpMqhvLSj6dNY0E3AAAAIEoRyIFgyspyb23WsqXn8bQ0tjwDAAAAopzttj0DbCcry721WW6uewG31FT3NHXujAMAAABRjUAOhEJsrJSRYXUVAAAAAMIIU9YBAAAAALAAgRwAAAAAAAsQyAEAAAAAsACBHAAAAAAACxDIAQAAAACwAIEcAAAAAAALEMgBAAAAALAAgRwAAAAAAAsQyAEAAAAAsACBHAAAAAAACxDIAQAAAACwAIEcAAAAAAALEMgBAAAAALAAgRwAAAAAAAsQyAEAAAAAsACBHAAAAAAACxDIAQAAAACwAIEcAAAAAAALEMgBAAAAALAAgRwAAAAAAAsQyAEAAAAAsACBHAAAAAAACxDIAQAAAACwAIEcAAAAAAALEMgBAAAAALAAgRwAAAAAAAsQyAEAAAAAsACBHAAAAAAACxDIAQAAAACwQJzVBaAaTqeUmyvl50upqVK/flJsrNVVAQAAAABMQCAPV9nZ0siR0q5dvx9LS5OmT5eysqyrCwAAAABgCqash6PsbGn4cM8wLkl5ee7j2dnW1AUAAAAAMA2BPNw4ne4744ZR8bXSY6NGudsBAAAAAGyLQB5ucnMr3hk/mWFIO3e62wEAAAAAbItAHm7y881tBwAAAAAISwTycJOaam47AAAAAEBYIpCHm3793KupOxyVv+5wSOnp7nYAAAAAANsikIeb2Fj31mZSxVBe+vG0aexHDgAAAAA2RyAPR1lZ0pw5UsuWnsfT0tzH2YccAAAAAGwvzuoCUIWsLGnYMPdq6vn57mfG+/Wz751xpzNyPhcAAAAAMAGBPJzFxkoZGVZXUXPZ2e691U/ezi0tzT01n7v9AAAAAKIUU9YRXNnZ0vDhFfdWz8tzH8/OtqYuAAAAALAYgRzB43S674wbRsXXSo+NGuVuBwAAAABRhkCO4MnNrXhn/GSGIe3c6W4HAAAAAFGGQI7gyc83tx0AAAAARBACOYInNdXcdgAAAAAQQQjkCJ5+/dyrqTsclb/ucEjp6e52AAAAABBlCOQInthY99ZmUsVQXvrxtGnsRw4AAAAgKhHIEVxZWdKcOVLLlp7H09Lcx9mHHAAAAECUirO6AESBrCxp2DD3aur5+e5nxvv14844AAAAgKhGIEdoxMZKGRlWVwEAAAAAYYMp6wAAAAAAWIBADgAAAACABQjkAAAAAABYgEAOAAAAAIAFCOQAAAAAAFiAQA4AAAAAgAUI5AAAAAAAWIBADgAAAACABQjkAAAAAABYgEAOAAAAAIAFCOQAAAAAAFiAQA4AAAAAgAUI5AAAAAAAWCDO6gKCzTAMSVJBQYFpfRYXF+vIkSMqKChQfHy8af0ieBgz+2HM7Icxsx/GzH4YM/thzOyHMbOfcByz0vxZmkerEvGBvLCwUJKUnp5ucSUAAAAAgGhSWFioevXqVfm6w/AW2W3O5XJp9+7dSk5OlsPhMKXPgoICpaena+fOnUpJSTGlTwQXY2Y/jJn9MGb2w5jZD2NmP4yZ/TBm9hOOY2YYhgoLC9WiRQvFxFT9pHjE3yGPiYlRWlpaUPpOSUkJmwGHbxgz+2HM7Icxsx/GzH4YM/thzOyHMbOfcBuz6u6Ml2JRNwAAAAAALEAgBwAAAADAAgTyACQmJmr8+PFKTEy0uhT4iDGzH8bMfhgz+2HM7Icxsx/GzH4YM/ux85hF/KJuAAAAAACEI+6QAwAAAABgAQI5AAAAAAAWIJADAAAAAGABAjkAAAAAABYgkP/m+eefV+vWrZWUlKRevXpp9erV1bZ/7733dPrppyspKUldunTRwoULPV43DEOPPvqoUlNTVatWLQ0cOFCbN28O5qcQdfwZs5dffln9+vVTgwYN1KBBAw0cOLBC+xtuuEEOh8Pj15AhQ4L9aUQVf8bstddeqzAeSUlJHm24zoLPnzHLyMioMGYOh0MXXXRRWRuus+D57LPPdPHFF6tFixZyOByaP3++13NycnJ01llnKTExUe3atdNrr71WoY2/Px/hO3/HLDs7W4MGDVKTJk2UkpKi3r1766OPPvJoM2HChArX2Omnnx7EzyK6+DtmOTk5lX5f3LNnj0c7rrPg8XfMKvs55XA41Llz57I2XGfBM2nSJJ199tlKTk5W06ZNdckll2jTpk1ez7NzNiOQS/r3v/+t++67T+PHj9fXX3+tbt26afDgwdq7d2+l7b/44gtdffXVuummm7Ru3TpdcskluuSSS7Rhw4ayNn//+9/17LPPasaMGVq1apXq1KmjwYMH69ixY6H6tCKav2OWk5Ojq6++WsuWLdPKlSuVnp6uCy64QHl5eR7thgwZovz8/LJf7777big+najg75hJUkpKisd4/PTTTx6vc50Fl79jlp2d7TFeGzZsUGxsrC6//HKPdlxnwXH48GF169ZNzz//vE/tt23bposuukiZmZn65ptvNGrUKN18880eAS+Q6xa+83fMPvvsMw0aNEgLFy7U2rVrlZmZqYsvvljr1q3zaNe5c2ePa+zzzz8PRvlRyd8xK7Vp0yaPMWnatGnZa1xnweXvmE2fPt1jrHbu3KmGDRtW+FnGdRYcy5cv15133qkvv/xSS5YsUXFxsS644AIdPny4ynNsn80MGD179jTuvPPOso+dTqfRokULY9KkSZW2v+KKK4yLLrrI41ivXr2Mv/zlL4ZhGIbL5TKaN29uPP3002WvHzx40EhMTDTefffdIHwG0cffMSuvpKTESE5ONl5//fWyY9dff70xbNgws0vFb/wds5kzZxr16tWrsj+us+Cr6XX2zDPPGMnJyUZRUVHZMa6z0JBkzJs3r9o2Dz30kNG5c2ePY1deeaUxePDgso9r+ncAvvNlzCrTqVMnY+LEiWUfjx8/3ujWrZt5haFKvozZsmXLDEnGgQMHqmzDdRY6gVxn8+bNMxwOh7F9+/ayY1xnobN3715DkrF8+fIq29g9m0X9HfITJ05o7dq1GjhwYNmxmJgYDRw4UCtXrqz0nJUrV3q0l6TBgweXtd+2bZv27Nnj0aZevXrq1atXlX3Cd4GMWXlHjhxRcXGxGjZs6HE8JydHTZs2VYcOHXT77bdr//79ptYerQIds6KiIrVq1Urp6ekaNmyYvv/++7LXuM6Cy4zr7JVXXtFVV12lOnXqeBznOgsP3n6WmfF3AMHlcrlUWFhY4WfZ5s2b1aJFC7Vt21bXXnutduzYYVGFKHXmmWcqNTVVgwYN0ooVK8qOc52Fv1deeUUDBw5Uq1atPI5znYXGoUOHJKnC97mT2T2bRX0g37dvn5xOp5o1a+ZxvFmzZhWe7ym1Z8+eatuX/u5Pn/BdIGNW3ujRo9WiRQuPC3PIkCF64403tHTpUj311FNavny5LrzwQjmdTlPrj0aBjFmHDh306quv6v3339dbb70ll8ulPn36aNeuXZK4zoKtptfZ6tWrtWHDBt18880ex7nOwkdVP8sKCgp09OhRU77XIrimTJmioqIiXXHFFWXHevXqpddee02LFy/WCy+8oG3btqlfv34qLCy0sNLolZqaqhkzZmju3LmaO3eu0tPTlZGRoa+//lqSOf+mQfDs3r1bixYtqvCzjOssNFwul0aNGqW+ffvqjDPOqLKd3bNZnNUFAKE2efJkzZo1Szk5OR6LhF111VVlf+7SpYu6du2qU089VTk5ORowYIAVpUa13r17q3fv3mUf9+nTRx07dtSLL76oxx9/3MLK4ItXXnlFXbp0Uc+ePT2Oc50B5njnnXc0ceJEvf/++x7PI1944YVlf+7atat69eqlVq1aafbs2brpppusKDWqdejQQR06dCj7uE+fPtq6daueeeYZvfnmmxZWBl+8/vrrql+/vi655BKP41xnoXHnnXdqw4YNEf98ftTfIW/cuLFiY2P1888/exz/+eef1bx580rPad68ebXtS3/3p0/4LpAxKzVlyhRNnjxZH3/8sbp27Vpt27Zt26px48basmVLjWuOdjUZs1Lx8fHq3r172XhwnQVXTcbs8OHDmjVrlk//KOE6s05VP8tSUlJUq1YtU65bBMesWbN08803a/bs2RWmaZZXv359tW/fnmssjPTs2bNsPLjOwpdhGHr11Vc1YsQIJSQkVNuW68x8d911lz788EMtW7ZMaWlp1ba1ezaL+kCekJCgP/zhD1q6dGnZMZfLpaVLl3rcnTtZ7969PdpL0pIlS8rat2nTRs2bN/doU1BQoFWrVlXZJ3wXyJhJ7tUVH3/8cS1evFg9evTw+j67du3S/v37lZqaakrd0SzQMTuZ0+nU+vXry8aD6yy4ajJm7733no4fP67rrrvO6/twnVnH288yM65bmO/dd9/VjTfeqHfffddjS8GqFBUVaevWrVxjYeSbb74pGw+us/C1fPlybdmyxaf/XOY6M49hGLrrrrs0b948ffrpp2rTpo3Xc2yfzaxeVS4czJo1y0hMTDRee+0144cffjBuvfVWo379+saePXsMwzCMESNGGGPGjClrv2LFCiMuLs6YMmWK8eOPPxrjx4834uPjjfXr15e1mTx5slG/fn3j/fffN7777jtj2LBhRps2bYyjR4+G/POLRP6O2eTJk42EhARjzpw5Rn5+ftmvwsJCwzAMo7Cw0HjggQeMlStXGtu2bTM++eQT46yzzjJOO+0049ixY5Z8jpHG3zGbOHGi8dFHHxlbt2411q5da1x11VVGUlKS8f3335e14ToLLn/HrNS5555rXHnllRWOc50FV2FhobFu3Tpj3bp1hiRj6tSpxrp164yffvrJMAzDGDNmjDFixIiy9v/73/+M2rVrGw8++KDx448/Gs8//7wRGxtrLF68uKyNt78DqBl/x+ztt9824uLijOeff97jZ9nBgwfL2tx///1GTk6OsW3bNmPFihXGwIEDjcaNGxt79+4N+ecXifwds2eeecaYP3++sXnzZmP9+vXGyJEjjZiYGOOTTz4pa8N1Flz+jlmp6667zujVq1elfXKdBc/tt99u1KtXz8jJyfH4PnfkyJGyNpGWzQjkv3nuueeMU045xUhISDB69uxpfPnll2Wv9e/f37j++us92s+ePdto3769kZCQYHTu3NlYsGCBx+sul8sYN26c0axZMyMxMdEYMGCAsWnTplB8KlHDnzFr1aqVIanCr/HjxxuGYRhHjhwxLrjgAqNJkyZGfHy80apVK+OWW27hh6HJ/BmzUaNGlbVt1qyZMXToUOPrr7/26I/rLPj8/d64ceNGQ5Lx8ccfV+iL6yy4SrdXKv+rdIyuv/56o3///hXOOfPMM42EhASjbdu2xsyZMyv0W93fAdSMv2PWv3//atsbhnvrutTUVCMhIcFo2bKlceWVVxpbtmwJ7ScWwfwds6eeeso49dRTjaSkJKNhw4ZGRkaG8emnn1bol+sseAL53njw4EGjVq1axksvvVRpn1xnwVPZWEny+PkUadnMYRiGEbTb7wAAAAAAoFJR/ww5AAAAAABWIJADAAAAAGABAjkAAAAAABYgkAMAAAAAYAECOQAAAAAAFiCQAwAAAABgAQI5AAAAAAAWIJADAAAAAGABAjkAAPCQk5Mjh8OhgwcP+nzOhAkTdOaZZwatJgAAIhGBHAAAG5sxY4aSk5NVUlJSdqyoqEjx8fHKyMjwaFsatLdu3Vptn3369FF+fr7q1atnaq0ZGRkaNWqUqX0CAGBnBHIAAGwsMzNTRUVF+uqrr8qO5ebmqnnz5lq1apWOHTtWdnzZsmU65ZRTdOqpp1bbZ0JCgpo3by6HwxG0ugEAAIEcAABb69Chg1JTU5WTk1N2LCcnR8OGDVObNm305ZdfehzPzMyUy+XSpEmT1KZNG9WqVUvdunXTnDlzPNqVn7L+8ssvKz09XbVr19all16qqVOnqn79+hXqefPNN9W6dWvVq1dPV111lQoLCyVJN9xwg5YvX67p06fL4XDI4XBo+/btZn85AACwFQI5AAA2l5mZqWXLlpV9vGzZMmVkZKh///5lx48ePapVq1YpMzNTkyZN0htvvKEZM2bo+++/17333qvrrrtOy5cvr7T/FStW6LbbbtPIkSP1zTffaNCgQXriiScqtNu6davmz5+vDz/8UB9++KGWL1+uyZMnS5KmT5+u3r1765ZbblF+fr7y8/OVnp4ehK8GAAD2EWd1AQAAoGYyMzM1atQolZSU6OjRo1q3bp369++v4uJizZgxQ5K0cuVKHT9+XBkZGerUqZM++eQT9e7dW5LUtm1bff7553rxxRfVv3//Cv0/99xzuvDCC/XAAw9Iktq3b68vvvhCH374oUc7l8ul1157TcnJyZKkESNGaOnSpXriiSdUr149JSQkqHbt2mrevHkwvxwAANgGgRwAAJvLyMjQ4cOHtWbNGh04cEDt27dXkyZN1L9/f9144406duyYcnJy1LZtWxUVFenIkSMaNGiQRx8nTpxQ9+7dK+1/06ZNuvTSSz2O9ezZs0Igb926dVkYl6TU1FTt3bvXpM8SAIDIQyAHAMDm2rVrp7S0NC1btkwHDhwou8vdokULpaen64svvtCyZct0/vnnq6ioSJK0YMECtWzZ0qOfxMTEGtURHx/v8bHD4ZDL5apRnwAARDICOQAAESAzM1M5OTk6cOCAHnzwwbLj5513nhYtWqTVq1fr9ttvV6dOnZSYmKgdO3ZUOj29Mh06dNCaNWs8jpX/2BcJCQlyOp1+nwcAQKQikAMAEAEyMzN15513qri42CNo9+/fX3fddZdOnDihzMxMJScn64EHHtC9994rl8ulc889V4cOHdKKFSuUkpKi66+/vkLfd999t8477zxNnTpVF198sT799FMtWrTI723RWrdurVWrVmn79u2qW7euGjZsqJgY1pcFAEQvfgoCABABMjMzdfToUbVr107NmjUrO96/f38VFhaWbY8mSY8//rjGjRunSZMmqWPHjhoyZIgWLFigNm3aVNp33759NWPGDE2dOlXdunXT4sWLde+99yopKcmvGh944AHFxsaqU6dOatKkiXbs2BH4JwwAQARwGIZhWF0EAACwl1tuuUUbN25Ubm6u1aUAAGBbTFkHAABeTZkyRYMGDVKdOnW0aNEivf766/rXv/5ldVkAANgad8gBAIBXV1xxhXJyclRYWKi2bdvq7rvv1m233WZ1WQAA2BqBHAAAAAAAC7CoGwAAAAAAFiCQAwAAAABgAQI5AAAAAAAWIJADAAAAAGABAjkAAAAAABYgkAMAAAAAYAECOQAAAAAAFiCQAwAAAABggf8P4h8diTWc1QkAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Ridge (Ridge Regression) and values of lamda\n", + "lamda_value = [0, 10, 20, 40, 400]\n", + "#lamdas = [0]\n", + "#colors = ['blue', 'orange', 'purple', 'green', 'black']\n", + "#colors = ['blue']\n", + "#labels = [f'(lamda={lamda})' for lamda in lamdas]\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "for lamda in lamda_value: \n", + " ridge_reg = Ridge(alpha=lamda)\n", + " # parameter 'alpha' เป็นพารามิเตอร์ สำหรับการควบคุมไม่ให้โมเดลเกิดการ overfit\n", + " #ในที่นี้ parameter ของ alpha จะใช้ค่าภายใน lamda\n", + " ridge_reg.fit(weight, size)\n", + " ridge_fit = ridge_reg.predict(weight)\n", + " \n", + " plt.plot(weight, ridge_fit, \n", + " label=f'Ridge Regression lamda = {lamda}')\n", + " \n", + "\n", + "#plt.plot(weight, linear_fit, color='red', \n", + "# label=f'Linear Regression\\nresiduals = {linear_residuals:.2f}')\n", + "\n", + "# training set\n", + "plt.scatter(weight, size, color='red', zorder=5)\n", + "plt.xlabel('Weight')\n", + "plt.ylabel('Size')\n", + "plt.legend()\n", + "plt.title(' Ridge Regression ')\n", + "plt.grid(True)\n", + "\n", + "\n", + "plt.show()\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# สร้างค่า slope ที่ต้องการทดลอง\n", + "slopes = np.linspace(-10, 10.0, 200)\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# คำนวณ Sum of Squared Residuals + λ * Slope^2 สำหรับแต่ละ lamda และแต่ละ slope\n", + "for lamda in lamda_value:\n", + " total_costs = []\n", + " for slope in slopes:\n", + " predictions = slope * weight.flatten()\n", + " residuals = np.sum((size - predictions) ** 2)\n", + " penalty = lamda * slope**2\n", + " total_cost = residuals + penalty\n", + " total_costs.append(total_cost)\n", + " \n", + " # พล็อตกราฟ Parabola ระหว่าง slope กับ (Sum of Squared Residuals + λ * Slope^2)\n", + " plt.plot(slopes, total_costs, label=f'lamda={lamda}')\n", + "\n", + "\n", + "\n", + "plt.xlabel('Slope Value')\n", + "plt.ylabel('Sum of Squared Residuals + λ * Slope^2')\n", + "plt.title('Parabola: Slope Value vs Sum of Squared Residuals + λ * Slope^2')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/Regularization/scratching/5.1_vectorized.py b/Regularization/scratching/5.1_vectorized.py index 4e1cb3e..d71333c 100644 --- a/Regularization/scratching/5.1_vectorized.py +++ b/Regularization/scratching/5.1_vectorized.py @@ -3,68 +3,78 @@ import matplotlib.pyplot as plt from model.RidgeRegression import RidgeRegression -# Example usage: if __name__ == "__main__": - df = pd.read_csv('../dataset/HeightWeight.csv') - first_5_rows = df.head(100) - + + # df = pd.read_csv('../dataset/HeightWeight.csv') + # first_5_rows = df.head(100) # Sample data # X = first_5_rows["Height"].values # y = first_5_rows["Weight"].values + # Example data that easy to visualize the diff between slope of each lambda X = np.array([[0], [2]]) y = np.array([0, 2]) - # Create and train the model - model = RidgeRegression(lambda_param=0) + # Use Ridge regression with lambda equals to 0.5 + model = RidgeRegression(lambda_param=0.5) + # Standardize data to avoid loss value to be NaN X = model.standardization(X) - # Add bias term to X + # Add bias term to X at the first column X_b = np.c_[np.ones((X.shape[0], 1)), X] + # Train model with Gradient Descent model.training(X_b, y, "gradientDes") - # Make predictions - predictions = model.predict(X_b) + # Make a prediction + y_pred = model.prediction(X_b) - # Calculate and print the loss - error = model.costFunction(X_b, y) - print("Loss:", error) + # Calculate and print the loss of the model + error = model.costFunction(X_b, y, y_pred) + print("Model Loss:", error) - # Plotting + # Plot prediction line plt.figure(figsize=(10, 6)) # Plot original data points plt.scatter(X, y, color='blue', label='Data points') - - plt.plot(X, predictions, color='red', label='Prediction line') - - # Labels and title + # Plot prediction line + plt.plot(X, y_pred, color='red', label='Prediction line') plt.xlabel('Height') plt.ylabel('Weight') plt.title('Ridge Regression') plt.legend() - lambdas = [0, 10, 20 , 40, 400] - slope_vals = np.arange(-30.1, 30.1, 0.1) - slopes = np.array([[0, v] for v in slope_vals]) + # Use 5 lambda examples to see the diff + lambdas = [0, 10, 20, 40, 400] + # Generate slope value from -10.1 to 10.1 + slope_vals = np.arange(-10.1, 10.1, 0.1) + + # Add bias term for every slopes (known as weights) + slopes = np.array([[1, v] for v in slope_vals]) + + # Plot RSS + lambda * slope (y axis) with slopes (x axis) plt.figure(figsize=(10, 6)) for i, lambda_param in enumerate(lambdas): w_history = [] c_history = [] for j, slope_param in enumerate(slopes): + # Use weights from weight genarator for visualization model = RidgeRegression(lambda_param=lambda_param, weights=slope_param) - loss = model.costFunction(X_b, y) + # Get cost function from every prediction from each slope and each lambda + y_pred = model.prediction(X_b) + loss = model.costFunction(X_b, y, y_pred) w_history.append(slope_param[1]) c_history.append(loss) + # Plot the bowl plot to see the optimum slope plt.plot(w_history, c_history, label=f"λ {lambda_param}") plt.ylim(0, 20) plt.xlim(-10, 12) plt.xlabel('Slope Value') - plt.ylabel('Sum of Squared Residuals + λ x |Slope|') + plt.ylabel('Sum of Squared Residuals + λ x Slope ^ 2') plt.title('Ridge Regression Visualization') plt.legend() diff --git a/Regularization/scratching/5.2.py b/Regularization/scratching/5.2.py new file mode 100644 index 0000000..e7a41ae --- /dev/null +++ b/Regularization/scratching/5.2.py @@ -0,0 +1,59 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +from sklearn.model_selection import train_test_split +from sklearn.linear_model import Ridge +from sklearn.metrics import mean_squared_error + +def generate_sin(): + np.random.seed(42) + X = np.random.rand(100, 1) * 10 + Y = np.sin(X) + np.random.randn(100) / 10 + X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=0) + return X_train, Y_train, X_test, Y_test + +def import_csv(path): + df = pd.read_csv(path) + X = df['Height'].values.reshape(-1, 1) # Reshape for sklearn + Y = df['Weight'].values + X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=0) + return X_train, Y_train, X_test, Y_test + +def ridge_regression(X_train, Y_train, X_test, Y_test, alpha): + model = Ridge(alpha=alpha) + model.fit(X_train, Y_train) + + train_rmse = mean_squared_error(Y_train, model.predict(X_train)) + test_rmse = mean_squared_error( Y_test, model.predict(X_test)) + + return train_rmse, test_rmse + +def plot_rmse_vs_alpha(alphas, train_rmse, test_rmse): + + plt.figure(figsize=(8, 6)) + plt.plot(alphas, train_rmse, label="Train", marker='o', linestyle='-') + plt.plot(alphas, test_rmse, label="Test", marker='s', linestyle='-') + plt.xlabel("Model Complexity (Log scale)") + plt.xscale('log') + plt.ylabel("RMSE") + plt.title("Model Complexity vs. E_train and E_test") + plt.legend() + plt.grid(True) + plt.tight_layout() + plt.show() + +X_train, Y_train, X_test, Y_test = import_csv("Regularization/dataset/HeightWeight.csv") +#X_train, Y_train, X_test, Y_test = generate_sin() + +alphas = np.arange(1, 100000, 100) +E_train = [] +E_test = [] + +for alpha_ in alphas: + train_rmse, test_rmse = ridge_regression(X_train, Y_train, X_test, Y_test, alpha_) + E_train.append(np.sqrt(train_rmse)) + E_test.append(np.sqrt(test_rmse)) + +plot_rmse_vs_alpha(alphas, E_train, E_test) + + diff --git a/Regularization/scratching/5.3.py b/Regularization/scratching/5.3.py new file mode 100644 index 0000000..24680ac --- /dev/null +++ b/Regularization/scratching/5.3.py @@ -0,0 +1,124 @@ +import numpy as np +import matplotlib.pyplot as plt +from model.RidgeRegression import RidgeRegression +from model.LinearRegression import LinearRegression + +# Define X data (bias + weigths) +def define_X_include_bias(X): + X_b = np.c_[np.ones((len(X), 1)), X] + return X_b + +# Define the problem function +def problem(X): + return np.sin(np.dot(np.pi, X)) + +# Define a mean model calculation +def meanModel(models): + return np.mean(models, axis=0) + +# Define a bias calculation +def computeBias(mean_model): + z = np.square(mean_model - y) + return np.mean(z) + +# Define a variance calculation +def computeVariance(E_d, mean_model): + z = np.square(E_d - mean_model) + var_x = np.mean(z) + return np.mean(var_x) + +# Define a E out calculation +def computeEout(bias, variance): + return bias + variance + +if __name__ == "__main__": + + # Generate X from -1 to 1 with a hundred values + X = np.linspace(-1, 1, 100) + + # Make y values from problem function (sin) + y = problem(X) + + # Add bias term to X at the first column + X_b = define_X_include_bias(X) + + # For collecting prediction value of each genaral data for both models + E_d_linear = [] + E_d_ridge = [] + + # Initialize subplots + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6)) + + # Add the base plot to both subplots + ax1.plot(X, y, label='sin(pi x)') + ax1.set_xlim(-1, 1) + ax1.set_xlabel('x') + ax1.set_ylabel('sin(pi x)') + ax1.set_ylim(-2, 2) + + ax2.plot(X, y, label='sin(pi x)') + ax2.set_xlim(-1, 1) + ax2.set_xlabel('x') + ax2.set_ylabel('sin(pi x)') + ax2.set_ylim(-2, 2) + + # Perform the training and plotting in the loop + for _ in range(1000): + # Create Linear model + linearModel = LinearRegression() + # Create Ridge model + ridgeModel = RidgeRegression(lambda_param=0.5) + + # Randomly select 2 values from the dataset + rands_X = np.random.choice(X, 2) + + # Create X and y from genaral value for training + X_sample = define_X_include_bias(rands_X) + y_sample = problem(rands_X) + + # Train model to fit the data with normal equation + linearModel.training(X=X_sample, y=y_sample, type="normalEq") + ridgeModel.training(X=X_sample, y=y_sample, type="normalEq") + + # Make a prediction with the model that train only 2 data but use with all data for both models + y_pred_lin = linearModel.prediction(X_b) + E_d_linear.append(y_pred_lin) + + y_pred_ridge = ridgeModel.prediction(X_b) + E_d_ridge.append(y_pred_ridge) + + # Plot the prediction line for each iters with random genaral data + ax1.plot(X, y_pred_lin, c="black", alpha=0.05) + ax2.plot(X, y_pred_ridge, c="black", alpha=0.05) + + # Calculate mean model, bias, varaince, and E out for both models to see the difference between non-regularization and regularization + mean_linearModel = meanModel(E_d_linear) + mean_ridgeModel = meanModel(E_d_ridge) + + bias_linearModel = computeBias(mean_linearModel) + variance_linearModel = computeVariance(E_d_linear, mean_linearModel) + eOut_linearModel = computeEout(bias_linearModel, variance_linearModel) + + bias_ridgeModel = computeBias(mean_ridgeModel) + variance_ridgeModel = computeVariance(E_d_ridge, mean_ridgeModel) + eOut_ridgeModel = computeEout(bias_ridgeModel, variance_ridgeModel) + + print("\nLinear regression") + print("Bias: ", bias_linearModel) + print("Variance: ", variance_linearModel) + print("E out: ", eOut_linearModel) + + print("\nRidge regression") + print("Bias: ", bias_ridgeModel) + print("Variance: ", variance_ridgeModel) + print("E out: ", eOut_ridgeModel) + + ax1.set_title(f'Linear Regression \n Bias = {bias_linearModel:.2f} | Varinace = {variance_linearModel:.2f} | E out = {eOut_linearModel:.2f}') + ax2.set_title(f'Ridge Regression \n Bias = {bias_ridgeModel:.2f} | Varinace = {variance_ridgeModel:.2f} | E out = {eOut_ridgeModel:.2f}') + + # Plot the mean predictions line + ax1.plot(X, mean_linearModel, c="red", label="Mean Model", linewidth=2) + ax2.plot(X, mean_ridgeModel, c="red", label="Mean Model", linewidth=2) + + plt.tight_layout() + plt.show() \ No newline at end of file diff --git a/Regularization/scratching/Ridge_ass2.py b/Regularization/scratching/Ridge_ass2.py new file mode 100644 index 0000000..a45a5bd --- /dev/null +++ b/Regularization/scratching/Ridge_ass2.py @@ -0,0 +1,51 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +from sklearn.model_selection import train_test_split +from sklearn.linear_model import Ridge +from sklearn.metrics import mean_squared_error + +# Sample data (replace with your data) +data = {'X1': [1, 2, 3, 4, 5], + 'X2': [2, 4, 5, 4, 5], + 'y': [7, 10, 13, 12, 14]} +df = pd.DataFrame(data) + +# Split data into features (X) and target variable (y) +X = df[['X1', 'X2']] +y = df['y'] + +# Split data into training and testing sets +X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + +# Range of alpha values to explore +alpha_values = np.logspace(-4, 2, 100) + +# Initialize lists to store SSR values +train_error = [] +test_error = [] + +# Loop through alpha values +for alpha in alpha_values: + model = Ridge(alpha=alpha) + model.fit(X_train, y_train) + + # Calculate mean squared error (MSE) on training and test sets + train_pred = model.predict(X_train) + test_pred = model.predict(X_test) + train_error.append(mean_squared_error(y_train, train_pred)) + test_error.append(mean_squared_error(y_test, test_pred)) + +# Find the index of the minimum test error +best_alpha_index = np.argmin(test_error) + +# Plot the SSR curve +plt.plot(alpha_values, train_error, label='Training error') +plt.plot(alpha_values, test_error, label='Test error') +plt.axvline(x=alpha_values[best_alpha_index], color='red', linestyle='--', label='Best alpha') +plt.xscale('log') +plt.xlabel('Alpha') +plt.ylabel('Mean Squared Error (MSE)') +plt.title('Ridge Regression: MSE vs Alpha') +plt.legend() +plt.show() diff --git a/Regularization/scratching/model/LinearRegression.py b/Regularization/scratching/model/LinearRegression.py new file mode 100644 index 0000000..9d63149 --- /dev/null +++ b/Regularization/scratching/model/LinearRegression.py @@ -0,0 +1,127 @@ +import numpy as np + +def gradientDescent(n_samples, lr, X, y, y_pred): + d_weigths = np.mean(np.dot(X.T, (y_pred - y))) # d_weights = 1 / n * ∑(y_prediction - y_actual) * X + d_bias = np.mean((1 / n_samples) * np.sum(y_pred - y)) # d_bias = 1 / n * ∑(y_prediction - y_actual) + + weights_gradient = lr * d_weigths + bias_gradient = lr * d_bias + + return weights_gradient, bias_gradient + +def normalEquation(X, y): + new_weights = np.linalg.pinv(X.T.dot(X)).dot(X.T.dot(y)) # w = (XT * X)^-1 * (XT * y) + return new_weights + +def costFunction(n_samples, y_pred, y): # Mean Sqaure Error (MSE) + return np.mean((y_pred - y) ** 2) + +class LinearRegression: + + def __init__(self, lr = 0.001, n_iters = 0): + self.lr = lr + self.n_iters = n_iters + self.weights = 0 # wi + self.bias = 0 # w0 + self.n_samples = 0 + self.weights_history = [] + self.bias_history = [] + self.costs_history = [] + + def standardization(self, X): # X_std = X - mean of X / standard deviation of X + mean_x = np.array([np.mean(X)]) + std_x = np.array([np.std(X)]) + X_std = (X - mean_x) / std_x + return X_std + + # Evaluation + Optimization + def training(self, X, y, type): + if (type == "gradientDes"): + n_samples, n_features = X.shape # in the shape of n x m, which means n is number of samples and m means number of features + self.n_samples = n_samples # set default number of samples + self.weights = np.zeros(n_features) # wights will be zero for all feature at the first time and the size of array depends on the total of features + + for _ in range(self.n_iters): + y_pred = self.prediction(X) + weights_gradient, bias_gradient = gradientDescent(n_samples, self.lr, X, y, y_pred) + self.weights -= weights_gradient + self.bias -= bias_gradient + self.weights_history.append(self.weights[0]) + self.bias_history.append(self.bias) + self.costs_history.append(costFunction(self.n_samples, y_pred, y)); + elif (type == "normalEq"): + self.weights = normalEquation(X, y) + else: + raise Exception("Sorry, we don't have that type of optimization.") + + def training_forLR(self, X, y, lr): + n_samples, n_features = X.shape # in the shape of n x m, which means n is number of samples and m means number of features + self.n_samples = n_samples # set default number of samples + self.weights = np.zeros(n_features) # wights will be zero for all feature at the first time and the size of array depends on the total of features + + for _ in range(self.n_iters): + y_pred = self.prediction(X) + weights_gradient, bias_gradient = gradientDescent(n_samples, lr, X, y, y_pred) + self.weights -= weights_gradient + self.bias -= bias_gradient + self.weights_history.append(self.weights[0]) + self.bias_history.append(self.bias) + self.costs_history.append(costFunction(self.n_samples, y_pred, y)); + + def generate_costs_forContour(self, X, y, w_range, b_range): + W, B = np.meshgrid(w_range, b_range) + costs_history = np.zeros(W.shape) + + for i in range(len(w_range)): + for j in range(len(b_range)): + weights = w_range[i] + bias = b_range[j] + y_pred = weights * X[:, 0] + bias + costs_history[j, i] = costFunction(self.n_samples, y_pred, y) + + return W, B, costs_history + + def get_Weights_Bias_History(self): + return self.weights_history, self.bias_history + + def get_Costs_History(self): + return self.costs_history + + # Representation + def prediction(self, X): + # y = wx + b, in the form of matrix calculation y = (w * X) + b + return np.dot(X, self.weights) + self.bias + +class CustomLinearRegression: + def __init__(self, n_iters = 0): + self.n_iters = n_iters + self.weights = 0 + self.bias = 0 + self.weights_history = [] + self.bias_history = [] + self.costs_history = [] + + def training(self, X, y, lr): + n_samples, n_features = X.shape # in the shape of n x m, which means n is number of samples and m means number of features + self.weights = np.zeros(n_features) # wights will be zero for all feature at the first time and the size of array depends on the total of features + + for _ in range(self.n_iters): + y_pred = self.prediction(X, -2, 0) + weights_gradient, bias_gradient = gradientDescent(n_samples, lr, X, y, y_pred) + self.weights -= weights_gradient + self.bias -= bias_gradient + self.weights_history.append(self.weights[0]) + self.bias_history.append(self.bias) + self.costs_history.append(costFunction(n_samples, y_pred, y)); + + def prediction(self, X, weights, bias): + _, n_features = X.shape # in the shape of n x m, which means n is number of samples and m means number of features + weights = np.zeros(n_features) # wights will be zero for all feature at the first time and the size of array depends on the total of features + return np.dot(X, weights) + bias + + def costFunction(self, X, y_pred, y): + n_samples, n_features = X.shape # in the shape of n x m, which means n is number of samples and m means number of features + return (1 / (2 * n_samples)) * np.sum((y_pred - y)**2) + + def get_Value(self): + return self.weights_history, self.bias_history, self.costs_history \ No newline at end of file diff --git a/Regularization/scratching/model/RidgeRegression.py b/Regularization/scratching/model/RidgeRegression.py index 4585cd5..b539011 100644 --- a/Regularization/scratching/model/RidgeRegression.py +++ b/Regularization/scratching/model/RidgeRegression.py @@ -1,7 +1,7 @@ import numpy as np def gradientDescent(X, y, y_pred, n_samples, lambda_param, weights): - gradient = (1 / n_samples) * (X.T @ (y_pred - y)) + (lambda_param / n_samples) * weights + gradient = (1 / n_samples) * (X.T @ (y_pred - y)) + (lambda_param / n_samples) * (weights[1:] ** 2) gradient[0] -= (lambda_param / n_samples) * weights[0] # Don't regularize the bias term return gradient @@ -22,16 +22,16 @@ def __init__(self, lambda_param, weights = None): self.weights_history = [] self.costs_history = [] - def training(self, X, y, mode, lr = 0.1, n_iters = 100): - if (mode == "normalEq"): + def training(self, X, y, type, lr = 0.1, n_iters = 100): + if (type == "normalEq"): self.weights = normalEquation(X, y, self.lambda_param) - elif (mode == "gradientDes"): + elif (type == "gradientDes"): n_samples, n_features = X.shape self.weights = np.zeros(n_features) for _ in range(n_iters): self.weights_history.append(self.weights[1]) - self.costs_history.append(self.costFunction(X, y)) - y_pred = self.predict(X) + y_pred = self.prediction(X) + self.costs_history.append(self.costFunction(X, y, y_pred)) weights_gradient = gradientDescent(X, y, y_pred, n_samples, self.lambda_param, self.weights) self.weights -= lr * weights_gradient else: @@ -43,20 +43,16 @@ def standardization(self, X): # X_std = X - mean of X / standard deviation X_std = (X - mean_x) / std_x return X_std - def test(self): - print(self.weights.shape) - def get_Weights_History(self): return self.weights_history def get_Costs_History(self): return self.costs_history - def predict(self, X): + def prediction(self, X): return np.dot(X, self.weights) - def costFunction(self, X, y): - y_pred = self.predict(X) - mse = np.sum((y - y_pred) ** 2) + def costFunction(self, X, y, y_pred): + rss = np.sum((y - y_pred) ** 2) regularization = self.lambda_param * np.sum(self.weights[1:] ** 2) - return mse + regularization \ No newline at end of file + return rss + regularization \ No newline at end of file diff --git a/Regularization/usingLibs/image/Ridge-lib-1.png b/Regularization/usingLibs/image/Ridge-lib-1.png new file mode 100644 index 0000000..80ebc5e Binary files /dev/null and b/Regularization/usingLibs/image/Ridge-lib-1.png differ diff --git a/Regularization/usingLibs/image/Ridge-lib-2.png b/Regularization/usingLibs/image/Ridge-lib-2.png new file mode 100644 index 0000000..e6ab382 Binary files /dev/null and b/Regularization/usingLibs/image/Ridge-lib-2.png differ diff --git a/Regularization/usingLibs/model-cross-ridge.ipynb b/Regularization/usingLibs/model-cross-ridge.ipynb deleted file mode 100644 index e41ae26..0000000 --- a/Regularization/usingLibs/model-cross-ridge.ipynb +++ /dev/null @@ -1,166 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from sklearn.linear_model import LinearRegression, Ridge\n", - "\n", - "# สร้างข้อมูลจำลอง\n", - "np.random.seed(0)\n", - "weight = np.array([0.5, 1.0, 1.5, 2.0]).reshape(-1, 1)\n", - "size = np.array([1.05, 1.9, 3.2, 4.1])" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Linear Regression residuals: 0.04\n", - "Ridge Regression (alpha=0):\n", - " residuals = 0.04\n", - " penalty = 0.00\n", - " total = 0.04\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# การถดถอยเชิงเส้น (Linear Regression)\n", - "linear_reg = LinearRegression()\n", - "linear_reg.fit(weight, size)\n", - "linear_fit = linear_reg.predict(weight)\n", - "linear_residuals = np.sum((size - linear_fit)**2)\n", - "print(f'Linear Regression residuals: {linear_residuals:.2f}')\n", - "\n", - "\n", - "# Ridge (Ridge Regression) and values of lamda\n", - "#alphas = [0, 10, 20, 40, 400]\n", - "alphas = [0]\n", - "#colors = ['blue', 'orange', 'purple', 'green', 'black']\n", - "colors = ['blue']\n", - "labels = [f'(alpha={alpha})' for alpha in alphas]\n", - "\n", - "plt.figure(figsize=(10, 6))\n", - "\n", - "# training set\n", - "plt.scatter(weight, size, color='red', zorder=5)\n", - "\n", - "# สร้างเส้น Ridge Regression สำหรับแต่ละค่า alpha\n", - "for alpha, color, label in zip(alphas, colors, labels):\n", - " ridge_reg = Ridge(alpha=alpha)\n", - " ridge_reg.fit(weight, size)\n", - " ridge_fit = ridge_reg.predict(weight)\n", - " ridge_residuals = np.sum((size - ridge_fit)**2)\n", - " ridge_penalty = alpha * np.sum(ridge_reg.coef_**2)\n", - " \n", - " print(f'Ridge Regression {label}:')\n", - " print(f' residuals = {ridge_residuals:.2f}')\n", - " print(f' penalty = {ridge_penalty:.2f}')\n", - " print(f' total = {ridge_residuals + ridge_penalty:.2f}')\n", - " \n", - " plt.plot(weight, ridge_fit, color=color, \n", - " label=f'Ridge Regression {label}')\n", - "\n", - "\n", - "# เส้นการถดถอยเชิงเส้น\n", - "#plt.plot(weight, linear_fit, color='red', \n", - "# label=f'Linear Regression\\nresiduals = {linear_residuals:.2f}')\n", - "\n", - "# แสดงผลลัพธ์\n", - "plt.xlabel('Weight')\n", - "plt.ylabel('Size')\n", - "plt.legend()\n", - "plt.title('Linear Regression vs Ridge Regression with Different Alpha Values')\n", - "plt.grid(True)\n", - "\n", - "# แสดงผลกราฟ\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# สร้างค่า slope ที่ต้องการทดลอง\n", - "slopes = np.linspace(-0.2, 1.0, 200)\n", - "\n", - "plt.figure(figsize=(10, 6))\n", - "\n", - "# คำนวณ Sum of Squared Residuals + λ * Slope^2 สำหรับแต่ละ alpha และแต่ละ slope\n", - "for alpha, color in zip(alphas, colors):\n", - " total_costs = []\n", - " for slope in slopes:\n", - " predictions = slope * weight.flatten()\n", - " residuals = np.sum((size - predictions) ** 2)\n", - " penalty = alpha * slope**2\n", - " total_cost = residuals + penalty\n", - " total_costs.append(total_cost)\n", - " \n", - " # พล็อตกราฟ Parabola ระหว่าง slope กับ (Sum of Squared Residuals + λ * Slope^2)\n", - " plt.plot(slopes, total_costs, color=color, label=f'alpha={alpha}')\n", - "\n", - "\n", - "\n", - "plt.xlabel('Slope Value')\n", - "plt.ylabel('Sum of Squared Residuals + λ * Slope^2')\n", - "plt.title('Parabola: Slope Value vs Sum of Squared Residuals + λ * Slope^2')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}