FYS-STK4155/doc/LectureNotes/additionweek42.ipynb

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    "<!-- HTML file automatically generated from DocOnce source (https://github.com/doconce/doconce/)\n",
    "doconce format html additionweek42.do.txt --no_mako -->\n",
    "<!-- dom:TITLE: Exercises Week 42: Logistic Regression and Optimization, reminders from week 38 and week 40 -->"
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    "# Exercises Week 42: Logistic Regression and Optimization, reminders from week 38 and week 40\n",
    "**Morten Hjorth-Jensen**, Department of Physics and Center for Computing in Science Education, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n",
    "\n",
    "Date: **October 14-18, 2024**"
   ]
  },
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   "source": [
    "## The logistic function\n",
    "\n",
    "A widely studied model, is the \n",
    "perceptron model, which is an example of a \"hard classification\" model. We\n",
    "have used this model when we discussed neural networks as\n",
    "well. Each datapoint is deterministically assigned to a category (i.e\n",
    "$y_i=0$ or $y_i=1$). In many cases it is favorable to have a \"soft\"\n",
    "classifier that outputs the probability of a given category rather\n",
    "than a single value. For example, given $x_i$, the classifier\n",
    "outputs the probability of being in a category $k$.  Logistic regression\n",
    "is the most common example of a so-called soft classifier. In logistic\n",
    "regression, the probability that a data point $x_i$\n",
    "belongs to a category $y_i=\\{0,1\\}$ is given by the so-called logit function (or Sigmoid) which is meant to represent the likelihood for a given event,"
   ]
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    "$$\n",
    "p(t) = \\frac{1}{1+\\mathrm \\exp{-t}}=\\frac{\\exp{t}}{1+\\mathrm \\exp{t}}.\n",
    "$$"
   ]
  },
  {
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   "source": [
    "Note that $1-p(t)= p(-t)$."
   ]
  },
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   "source": [
    "## Examples of likelihood functions used in logistic regression and nueral networks\n",
    "\n",
    "The following code plots the logistic function, the step function and other functions we will encounter from here and on."
   ]
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    "%matplotlib inline\n",
    "\n",
    "\"\"\"The sigmoid function (or the logistic curve) is a\n",
    "function that takes any real number, z, and outputs a number (0,1).\n",
    "It is useful in neural networks for assigning weights on a relative scale.\n",
    "The value z is the weighted sum of parameters involved in the learning algorithm.\"\"\"\n",
    "\n",
    "import numpy\n",
    "import matplotlib.pyplot as plt\n",
    "import math as mt\n",
    "\n",
    "z = numpy.arange(-5, 5, .1)\n",
    "sigma_fn = numpy.vectorize(lambda z: 1/(1+numpy.exp(-z)))\n",
    "sigma = sigma_fn(z)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(z, sigma)\n",
    "ax.set_ylim([-0.1, 1.1])\n",
    "ax.set_xlim([-5,5])\n",
    "ax.grid(True)\n",
    "ax.set_xlabel('z')\n",
    "ax.set_title('sigmoid function')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\"\"\"Step Function\"\"\"\n",
    "z = numpy.arange(-5, 5, .02)\n",
    "step_fn = numpy.vectorize(lambda z: 1.0 if z >= 0.0 else 0.0)\n",
    "step = step_fn(z)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(z, step)\n",
    "ax.set_ylim([-0.5, 1.5])\n",
    "ax.set_xlim([-5,5])\n",
    "ax.grid(True)\n",
    "ax.set_xlabel('z')\n",
    "ax.set_title('step function')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\"\"\"tanh Function\"\"\"\n",
    "z = numpy.arange(-2*mt.pi, 2*mt.pi, 0.1)\n",
    "t = numpy.tanh(z)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.plot(z, t)\n",
    "ax.set_ylim([-1.0, 1.0])\n",
    "ax.set_xlim([-2*mt.pi,2*mt.pi])\n",
    "ax.grid(True)\n",
    "ax.set_xlabel('z')\n",
    "ax.set_title('tanh function')\n",
    "\n",
    "plt.show()"
   ]
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   "source": [
    "## Two parameters\n",
    "\n",
    "We assume now that we have two classes with $y_i$ either $0$ or $1$. Furthermore we assume also that we have only two parameters $\\beta$ in our fitting of the Sigmoid function, that is we define probabilities"
   ]
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    "$$\n",
    "\\begin{align*}\n",
    "p(y_i=1|x_i,\\boldsymbol{\\beta}) &= \\frac{\\exp{(\\beta_0+\\beta_1x_i)}}{1+\\exp{(\\beta_0+\\beta_1x_i)}},\\nonumber\\\\\n",
    "p(y_i=0|x_i,\\boldsymbol{\\beta}) &= 1 - p(y_i=1|x_i,\\boldsymbol{\\beta}),\n",
    "\\end{align*}\n",
    "$$"
   ]
  },
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   "id": "7f0dbf70",
   "metadata": {},
   "source": [
    "where $\\boldsymbol{\\beta}$ are the weights we wish to extract from data, in our case $\\beta_0$ and $\\beta_1$. \n",
    "\n",
    "Note that we used"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5666ab6f",
   "metadata": {},
   "source": [
    "$$\n",
    "p(y_i=0\\vert x_i, \\boldsymbol{\\beta}) = 1-p(y_i=1\\vert x_i, \\boldsymbol{\\beta}).\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a5bf836",
   "metadata": {},
   "source": [
    "## The cost function\n",
    "\n",
    "Reordering the logarithms, we can rewrite the **cost/loss** function as"
   ]
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   "id": "865c1168",
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   "source": [
    "$$\n",
    "\\mathcal{C}(\\boldsymbol{\\beta}) = \\sum_{i=1}^n  \\left(y_i(\\beta_0+\\beta_1x_i) -\\log{(1+\\exp{(\\beta_0+\\beta_1x_i)})}\\right).\n",
    "$$"
   ]
  },
  {
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   "id": "a319692e",
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   "source": [
    "The maximum likelihood estimator is defined as the set of parameters that maximize the log-likelihood where we maximize with respect to $\\beta$.\n",
    "Since the cost (error) function is just the negative log-likelihood, for logistic regression we have that"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6a573cc",
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   "source": [
    "$$\n",
    "\\mathcal{C}(\\boldsymbol{\\beta})=-\\sum_{i=1}^n  \\left(y_i(\\beta_0+\\beta_1x_i) -\\log{(1+\\exp{(\\beta_0+\\beta_1x_i)})}\\right).\n",
    "$$"
   ]
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  {
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   "id": "9a2cce7c",
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   "source": [
    "This equation is known in statistics as the **cross entropy**. Finally, we note that just as in linear regression, \n",
    "in practice we often supplement the cross-entropy with additional regularization terms, usually $L_1$ and $L_2$ regularization as we did for Ridge and Lasso regression."
   ]
  },
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   "source": [
    "## Minimizing the cross entropy\n",
    "\n",
    "The cross entropy is a convex function of the weights $\\boldsymbol{\\beta}$ and,\n",
    "therefore, any local minimizer is a global minimizer. \n",
    "\n",
    "Minimizing this\n",
    "cost function with respect to the two parameters $\\beta_0$ and $\\beta_1$ we obtain"
   ]
  },
  {
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   "source": [
    "$$\n",
    "\\frac{\\partial \\mathcal{C}(\\boldsymbol{\\beta})}{\\partial \\beta_0} = -\\sum_{i=1}^n  \\left(y_i -\\frac{\\exp{(\\beta_0+\\beta_1x_i)}}{1+\\exp{(\\beta_0+\\beta_1x_i)}}\\right),\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9844a743",
   "metadata": {},
   "source": [
    "and"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc707870",
   "metadata": {},
   "source": [
    "$$\n",
    "\\frac{\\partial \\mathcal{C}(\\boldsymbol{\\beta})}{\\partial \\beta_1} = -\\sum_{i=1}^n  \\left(y_ix_i -x_i\\frac{\\exp{(\\beta_0+\\beta_1x_i)}}{1+\\exp{(\\beta_0+\\beta_1x_i)}}\\right).\n",
    "$$"
   ]
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   "source": [
    "## A more compact expression\n",
    "\n",
    "Let us now define a vector $\\boldsymbol{y}$ with $n$ elements $y_i$, an\n",
    "$n\\times p$ matrix $\\boldsymbol{X}$ which contains the $x_i$ values and a\n",
    "vector $\\boldsymbol{p}$ of fitted probabilities $p(y_i\\vert x_i,\\boldsymbol{\\beta})$. We can rewrite in a more compact form the first\n",
    "derivative of cost function as"
   ]
  },
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   "source": [
    "$$\n",
    "\\frac{\\partial \\mathcal{C}(\\boldsymbol{\\beta})}{\\partial \\boldsymbol{\\beta}} = -\\boldsymbol{X}^T\\left(\\boldsymbol{y}-\\boldsymbol{p}\\right).\n",
    "$$"
   ]
  },
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   "source": [
    "If we in addition define a diagonal matrix $\\boldsymbol{W}$ with elements \n",
    "$p(y_i\\vert x_i,\\boldsymbol{\\beta})(1-p(y_i\\vert x_i,\\boldsymbol{\\beta})$, we can obtain a compact expression of the second derivative as"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "074ba1e7",
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   "source": [
    "$$\n",
    "\\frac{\\partial^2 \\mathcal{C}(\\boldsymbol{\\beta})}{\\partial \\boldsymbol{\\beta}\\partial \\boldsymbol{\\beta}^T} = \\boldsymbol{X}^T\\boldsymbol{W}\\boldsymbol{X}.\n",
    "$$"
   ]
  },
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   "source": [
    "## Extending to more predictors\n",
    "\n",
    "Within a binary classification problem, we can easily expand our model to include multiple predictors. Our ratio between likelihoods is then with $p$ predictors"
   ]
  },
  {
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   "source": [
    "$$\n",
    "\\log{ \\frac{p(\\boldsymbol{\\beta}\\boldsymbol{x})}{1-p(\\boldsymbol{\\beta}\\boldsymbol{x})}} = \\beta_0+\\beta_1x_1+\\beta_2x_2+\\dots+\\beta_px_p.\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a4a1497",
   "metadata": {},
   "source": [
    "Here we defined $\\boldsymbol{x}=[1,x_1,x_2,\\dots,x_p]$ and $\\boldsymbol{\\beta}=[\\beta_0, \\beta_1, \\dots, \\beta_p]$ leading to"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7435cbe3",
   "metadata": {},
   "source": [
    "$$\n",
    "p(\\boldsymbol{\\beta}\\boldsymbol{x})=\\frac{ \\exp{(\\beta_0+\\beta_1x_1+\\beta_2x_2+\\dots+\\beta_px_p)}}{1+\\exp{(\\beta_0+\\beta_1x_1+\\beta_2x_2+\\dots+\\beta_px_p)}}.\n",
    "$$"
   ]
  },
  {
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   "id": "1cb32178",
   "metadata": {},
   "source": [
    "## Including more classes\n",
    "\n",
    "Till now we have mainly focused on two classes, the so-called binary\n",
    "system. Suppose we wish to extend to $K$ classes.  Let us for the sake\n",
    "of simplicity assume we have only two predictors. We have then following model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e620bb11",
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   "source": [
    "$$\n",
    "\\log{\\frac{p(C=1\\vert x)}{p(K\\vert x)}} = \\beta_{10}+\\beta_{11}x_1,\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4851e37",
   "metadata": {},
   "source": [
    "and"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3999e7f2",
   "metadata": {},
   "source": [
    "$$\n",
    "\\log{\\frac{p(C=2\\vert x)}{p(K\\vert x)}} = \\beta_{20}+\\beta_{21}x_1,\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7200162c",
   "metadata": {},
   "source": [
    "and so on till the class $C=K-1$ class"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4795f8a9",
   "metadata": {},
   "source": [
    "$$\n",
    "\\log{\\frac{p(C=K-1\\vert x)}{p(K\\vert x)}} = \\beta_{(K-1)0}+\\beta_{(K-1)1}x_1,\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c55dc7f6",
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   "source": [
    "and the model is specified in term of $K-1$ so-called log-odds or\n",
    "**logit** transformations."
   ]
  },
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   "source": [
    "## More classes\n",
    "\n",
    "In our discussion of neural networks we will encounter the above again\n",
    "in terms of a slightly modified function, the so-called **Softmax** function.\n",
    "\n",
    "The softmax function is used in various multiclass classification\n",
    "methods, such as multinomial logistic regression (also known as\n",
    "softmax regression), multiclass linear discriminant analysis, naive\n",
    "Bayes classifiers, and artificial neural networks.  Specifically, in\n",
    "multinomial logistic regression and linear discriminant analysis, the\n",
    "input to the function is the result of $K$ distinct linear functions,\n",
    "and the predicted probability for the $k$-th class given a sample\n",
    "vector $\\boldsymbol{x}$ and a weighting vector $\\boldsymbol{\\beta}$ is (with two\n",
    "predictors):"
   ]
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   "id": "89c9a8d4",
   "metadata": {},
   "source": [
    "$$\n",
    "p(C=k\\vert \\mathbf {x} )=\\frac{\\exp{(\\beta_{k0}+\\beta_{k1}x_1)}}{1+\\sum_{l=1}^{K-1}\\exp{(\\beta_{l0}+\\beta_{l1}x_1)}}.\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b4446bd",
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   "source": [
    "It is easy to extend to more predictors. The final class is"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "801a59a0",
   "metadata": {},
   "source": [
    "$$\n",
    "p(C=K\\vert \\mathbf {x} )=\\frac{1}{1+\\sum_{l=1}^{K-1}\\exp{(\\beta_{l0}+\\beta_{l1}x_1)}},\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0ae9ae9",
   "metadata": {},
   "source": [
    "and they sum to one."
   ]
  },
  {
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   "id": "ace600ee",
   "metadata": {},
   "source": [
    "## Wisconsin Cancer Data\n",
    "\n",
    "We show here how we can use a simple regression case on the breast\n",
    "cancer data using Logistic regression as our algorithm for\n",
    "classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "56c9f070",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(426, 30)\n",
      "(143, 30)\n",
      "Test set accuracy with Logistic Regression: 0.94\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.model_selection import  train_test_split \n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Load the data\n",
    "cancer = load_breast_cancer()\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(cancer.data,cancer.target,random_state=0)\n",
    "print(X_train.shape)\n",
    "print(X_test.shape)\n",
    "# Logistic Regression\n",
    "logreg = LogisticRegression(solver='lbfgs')\n",
    "logreg.fit(X_train, y_train)\n",
    "print(\"Test set accuracy with Logistic Regression: {:.2f}\".format(logreg.score(X_test,y_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31b448d5",
   "metadata": {},
   "source": [
    "## Using the correlation matrix\n",
    "\n",
    "In addition to the above scores, we could also study the covariance (and the correlation matrix).\n",
    "We use **Pandas** to compute the correlation matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b7aa971",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x2000 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.model_selection import  train_test_split \n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "cancer = load_breast_cancer()\n",
    "import pandas as pd\n",
    "# Making a data frame\n",
    "cancerpd = pd.DataFrame(cancer.data, columns=cancer.feature_names)\n",
    "\n",
    "fig, axes = plt.subplots(15,2,figsize=(10,20))\n",
    "malignant = cancer.data[cancer.target == 0]\n",
    "benign = cancer.data[cancer.target == 1]\n",
    "ax = axes.ravel()\n",
    "\n",
    "for i in range(30):\n",
    "    _, bins = np.histogram(cancer.data[:,i], bins =50)\n",
    "    ax[i].hist(malignant[:,i], bins = bins, alpha = 0.5)\n",
    "    ax[i].hist(benign[:,i], bins = bins, alpha = 0.5)\n",
    "    ax[i].set_title(cancer.feature_names[i])\n",
    "    ax[i].set_yticks(())\n",
    "ax[0].set_xlabel(\"Feature magnitude\")\n",
    "ax[0].set_ylabel(\"Frequency\")\n",
    "ax[0].legend([\"Malignant\", \"Benign\"], loc =\"best\")\n",
    "fig.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "import seaborn as sns\n",
    "correlation_matrix = cancerpd.corr().round(1)\n",
    "# use the heatmap function from seaborn to plot the correlation matrix\n",
    "# annot = True to print the values inside the square\n",
    "plt.figure(figsize=(15,8))\n",
    "sns.heatmap(data=correlation_matrix, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e48192a2",
   "metadata": {},
   "source": [
    "## Discussing the correlation data\n",
    "\n",
    "In the above example we note two things. In the first plot we display\n",
    "the overlap of benign and malignant tumors as functions of the various\n",
    "features in the Wisconsing breast cancer data set. We see that for\n",
    "some of the features we can distinguish clearly the benign and\n",
    "malignant cases while for other features we cannot. This can point to\n",
    "us which features may be of greater interest when we wish to classify\n",
    "a benign or not benign tumour.\n",
    "\n",
    "In the second figure we have computed the so-called correlation\n",
    "matrix, which in our case with thirty features becomes a $30\\times 30$\n",
    "matrix.\n",
    "\n",
    "We constructed this matrix using **pandas** via the statements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "be07af84",
   "metadata": {},
   "outputs": [],
   "source": [
    "cancerpd = pd.DataFrame(cancer.data, columns=cancer.feature_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c5f852a",
   "metadata": {},
   "source": [
    "and then"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2925cdd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation_matrix = cancerpd.corr().round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fdedbd7",
   "metadata": {},
   "source": [
    "Diagonalizing this matrix we can in turn say something about which\n",
    "features are of relevance and which are not. This leads  us to\n",
    "the classical Principal Component Analysis (PCA) theorem with\n",
    "applications. This will be discussed later this semester ([week 43](https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-bs.html))."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62d43eb5",
   "metadata": {},
   "source": [
    "## Other measures in classification studies: Cancer Data  again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "371f0a26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(426, 30)\n",
      "(143, 30)\n",
      "[1.         0.86666667 1.         0.85714286 1.         0.85714286\n",
      " 1.         0.92857143 0.92857143 1.        ]\n",
      "Test set accuracy with Logistic Regression: 0.94\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cFYuIiMDOzo4CBQqku4+jo2OahSMBPDw8nrqPyD56vR4XFxcKFCgghZDGtDwXy3+6go2ji+lxwbyOLOzmh00uvXydnJzMgYMHqFe3HnZ22v2atkmKxfvoV+QJO4xOMTxzW50xGYfYW8C/5yzJ1YfQRjMx2qb9HWwtDAYDp8+cpmqVqtja2mqdTq5x7OQZRo37gtHDBtDmrSYAREfHwPftzD6sxaoKoTp16qhWWAbYvn07NWvWlA9RIazUidAH7Lt4TxXr/0YpqhfPr1FG2tPr9dzKA1WKumv3u82QDKt7wZVdmdvfIQ8O3dZRpnBl8+aVzfR6PRfvPKJMtQbyOZMNjEYjU6dOZfz48RgMBiZM+Z62nbpRtmxZIiMjs+SYmt4+Hxsby6lTpzh16hSQcnv8qVOnCA0NBVIua3Xv3t20/YABA7hx4wYjR47k/PnzLF26lCVLlvDhhx9qkb4Qwgxm/n5J9dgzjyNda5fQKBthsu3jzBdB6KDDErDyIkhkr4iICFq2bMknn3yCwZDSgfTz88PV1TVLj6tpR+jYsWM0btzY9PjJWJ4ePXqwfPlywsLCTEURgK+vL1u2bGHEiBHMmTMHHx8fZs2aRYcOHbI9dyFyIqMCn20+xy9nwolLSs62Y/7XgIalcHaQSxCa+nMhHF2UuX11NtDyGyj/lnlzEjnanj17CAwMJCwsDEgZ9zt+/Hg+++yzLL8kqWkh1KhRI541jdHy5cvTxBo2bMiJEyeyMCshcq89YTp+unFLs+N75nGQblB2uH8J9n4Dj8LSPqcoEHpQHbN1hNbfgvNzbjDR6aBQRfAoZb5cRY5mMBj48ssvmTRpEkajEUi5GzwoKIgmTZpkSw5WNUZICJF1Hicls/O2tssP9n+jtHSDslrUNVjaAh5nYLzFO3Ph1Y5Zl5PIle7evUtgYCC7dv17CbZp06asWrUqzVQ5WUkWXRVCALD6yC1ik7W7S6tR+YJ0ryvdoCwV/xBWB2SsCGr4sRRBIksoisJff/0FgI2NDV988QXbtm3L1iIIpCMkhADikwws/uO6KtagrCeftKqYLcd3c7anSD7nbDlWrmVIhnU94f4/L75P1S7Q6OMsS0nkboULFyYoKIhevXqxatUqGjZsqEkeUggJIQj68waRcUmq2Kjm5ano7aZRRuKFJD6Cg7Mh6urzt425DTcOqGOFXoGavdPf3sMXSjdJGfcjhBncvn0bZ2dn1WTGTZs25dKlSzg5OWmWlxRCQuRgRqOC8TnrKickG5m/V/1B2qh8QaoVy5eFmYmXlvQYfmwLd05mbn/XghAYAvmKmzcvIdKxbds2unXrRt26ddm0aZNqUkQtiyCQQkiIHElRFL757R9WHbrBo8SM3wb/QZOyWZCVMBujETb2z3wRZOsInddIESSynF6v57PPPuPrr78GYPPmzSxYsIABAwZonNm/pBASIgf65UwY8/ZcydS+b5QtkKtndbYKuyfD+c2Z21dnA+/Og2KvmTcnIVK5efMmnTt35uDBf6djaNOmDZ06ddIwq7SkEBIihzEaFWbtvPT8DZ9iSOPSZsxGmN2pNbD/O3XM0R1q9nr+eB5bByjTTIogkeV+/vlnevbsSVRUFAB2dnZMnTqVESNGmH2tsJclhZAQOcyWv8K4FBGb4f1sbXQ08zFQXcYGWa4bB2HzUHVMZwv+P0LpxunvI0Q2SkpKYuzYsUyfPt0UK1GiBCEhIdSuXVvDzJ5OCiEhcpD0ukEVCudlTtcaz903v5MN+3ftyKrUxMuKugrBXcGoV8dbTZMiSFiEmJgYmjVrxpEjR0yxd955h6VLl5I/v+VebpdCSIgcZOtf4Vy8q+4GDW9altIF8zx3X71e/9xthEaeTIQYH6WOvz4IXuujSUpCpJY3b15KlizJkSNHcHBw4Ntvv2XIkCEWdyksNSmEhMghntYNav5KYY0yEmZh0P//RIgX1fGyLaD5ZE1SEiI9Op2ORYsWER0dzZdffomfn5/WKb0QKYSEyCG2/R3OP3cfqWLDmpTFxsay/xoTz6AosPUjuLpbHS9UCTouARtZl01o58qVK9y8eZNGjRqZYm5ubmzbtk27pDJB1hoTIgdIrxtU3isvb1WSbpA1szm2CI4tVQddC0FgMDjm1SYpIYB169ZRo0YNOnTowM2bN7VO56VIISREDrD9XDgXwqUblJN4RZ/CZsen6qCdE3SRiRCFdhISEhg0aBD+/v7ExMQQFRXFJ598onVaL0UujQlh5YxGhRm/q7tB5bzy0LKydIOsSuQViDgHioIuPoaa1+eiU4zqbd6ZB0VrapOfyPUuXryIv78/p0+fNsUCAwOZO3euhlm9PCmEhLBy28/dTdMNGvqmdIOsytElsOVD+P/CJ91fzI3HQeX22ZqWEE+sXr2a/v37Exubcleqk5MTs2fPpnfv3hZ/V9jzSCEkhBVTlLRjg8oWykOrV701ykhk2MXfVEVQul7tBG+Mzr6chPh/jx8/ZtiwYSxZssQUq1ixImvXrqVy5coaZmY+UggJYcW2n7vLubAYVWxok7LYSjfIOoT/Bet7P7sIKlYb2s1+/vIZQpiZoii89dZb7N+/3xTr0aMHc+bMwdXVVcPMzEsGSwthpdLrBpUu6Epr6QZZh0d3YU1nSEq1HEq+EigFyvDIyQdjlS7QJRjsnbTJUeRqOp2OkSNHAuDi4sLy5ctZvnx5jiqCQDpCQlit389H8PcddTdomHSDrIM+HoIDITrVbcev+kP7hSQnJ7NryxZatWqFjb29NjkKQcoSGd9++y2tWrWiYsWKWqeTJaQjJIQVUhSFGb+rZxouXdCVNlV8NMpIvDCjETYNgtvH1PFitaHdD3IJTGjmr7/+4tNPP0VRFFV81KhRObYIAukICWGVdqbTDRr6pnSDrMLer+HvDepYvhLQebVcAhOaUBSFJUuWMHToUBISEvD19aVPn9yzhp10hISwMoqiMDPV2KBSnq60rSrdIIt3Zi3snaqOObpBYAi4emqTk8jVHj16xHvvvUe/fv1ISEgAYMmSJRiNzxjAn8NIISSEldl1IYKzt6NVsaFNykg3yNKF/gk/DVbHdDbQaRkUyrmXHYTlOnXqFH5+fqxevdoUGzhwILt27cLGJveUB3JpTAgrkKA3EJOgB0jTDfL1dKWtjA2ybA9upAyONiSp4y2/gTJNtclJ5FqKojB//nxGjBhBYmIikLJY6qJFi/D399c4u+wnhZAQFu77HReZt/cKScnpt6qHNC6DnW3u+evN6iREw+oAeHxfHa/VH2r10yYnkWtFR0fTr18/1q1bZ4r5+fkREhJC6dKlNcxMO/LbUwgLdvDKfWbuvPTUIqhkARferibdIItlSE6ZMPHeeXW8TFNo8ZU2OYlc7aOPPlIVQcOGDePAgQO5tggCKYSEsGipF1NNbcibZaUbZMl++wQu/66OFawIHZeCrTTkRfabPHkyRYoUIV++fGzcuJGZM2fi6OiodVqakp9EISzUoSuRHLkWle5zDrY2BLxWjPbVi2RzVuKFHVkERxaoYy6eEBgMTu7a5CRyHUVRVIuienp6smnTJjw9PSlZsqR2iVkQKYSEsFCpJ0z0dndi85D62NnocHawxcneVqPMxHNd/h22fqSO2TqmzBWUv6QmKYnc588//2TEiBFs3LgRLy8vU7xmzZoaZmV5pKcuhAU6fDWSP1N1gwY1LkPBvI7kd3WQIsiSRZyHdb1AMajjb8+B4rW1yUnkKoqi8N1331G/fn0OHTpEt27dctW8QBklHSEhLNDMVGODvN2d8K9ZVKNsxAuLuw+r/SFRPes3DT+CKp20yUnkKpGRkfTs2ZNffvnFFIuLiyM6Opr8+fNrmJnlko6QEBbmz6uRHLoaqYoNalQaRzvpAlk0fULKXEEPQ9XxSu2h0VhtchK5yoEDB6hevbqqCPr444/Zs2ePFEHPIB0hISxM6gkTC7s54f9aMY2yES9EUeDnYXDzT3W8iB+8M1cWUhVZymg08s033/Dpp59iMKRckvX09GTlypW89dZbGmdn+aQQEsKCHLkWxcEr6m7QQOkGWb5938KZEHXMvRh0XgP2ztrkJHKFe/fu0b17d7Zt22aKvfHGG6xevZoiReSu0hchl8aEsCAzd6rvFPNycyRAukGW7a8NsHuyOuaQB7oEQ16v9PcRwkx27txpKoJ0Oh3jx49n586dUgRlgHSEhLAQx65HceByqm5Qw9Jyh5glu3UcNg1Ux3Q2KRMmFq6sTU4iV+ncuTPbt29ny5YtrFq1iqZNZe26jJJCSAgLkXpsUKG8jnSuVVyjbMRzPbwJazpDcoI63vxLKNdCm5xEjvfo0SPy5s2ris2ePZuYmBgKFy6sUVbWTS6NCaERRVG49eAx1+7Hsf3vcPZfUi/KObCRdIMsVuKjlCIoLkId9+sFrw9Mfx8hXtLOnTspV64ca9euVcVdXFykCHoJ0hESQgPh0Ql0XXyYK/fi0n2+YF5Hukg3yDIZDfC/vnD3L3W8VCNoNU3uEBNmZzAY+Pzzz/niiy9QFIW+ffvi5+eXqxdKNScphITQwPif/npqEQQyNsii7fgMLm5TxzzLQacfwdZem5xEjnXnzh0CAwPZu3evKVanTp00l8dE5smlMSGy2V+3o9lx7u5Tny+Y15HA2tINskjHlsGh2eqYswcEhoBzPk1SEjnXb7/9RrVq1UxFkK2tLVOmTGHr1q0UKlRI4+xyDukICZHNZqUaFP1fpTxdmdapqnSDLNHVPbDlQ3XMxh4CVoFHKU1SEjlTcnIy48eP5+uvvzbFihYtypo1a6hfv76GmeVMUggJkY3+vhPN9lTdoFHNyjGgUcq1fntbadJapHsXIaQ7GJPV8bYzoWQ9bXISOdLt27cJCAjgwIEDpljr1q1Zvnw5np6eGmaWc8lvXSGyUepuUD4Xe3rWK4m9rY0UQZbqcdT/L6QarY7XHwHVu2qTk8ixdDodFy+mTKxqZ2fHt99+y+bNm6UIykLym1eIbHLuTgy//a3uBvWt70teJxlga7GSkyDkPXhwTR2v2Bbe/EybnESO5uPjw8qVKylZsiT79+9n1KhR2NjIR3VWkktjQmST1N0gd2d7etQtqU0y4vkUBX4ZDjcOqOPe1eDdBSAfTsIMbty4gbu7O/ny5TPFWrRowYULF3B0dNQusVxECiEhssH5sBi2/R2uikk3yMIkJ8G5TRB9K+Vx1BU4FaTeJq9PyhpiDq7Znp7IeTZt2kSvXr148803Wb9+Pbr/zEElRVD2kUJIiGzwwy51N8jNyY4e9Upqk4xIKzkRgjrCtX1P38beBbqsATfv7MtL5EiJiYmMGTOGWbNmAbBhwwaWLl1Knz59NM4sd5JCSIgsdiE8hi1n1d2gPvVL4SbdIMugKPDz8GcXQeig/SLwqZZNSYmc6urVq/j7+3P8+HFTrGPHjnTs2FHDrHI3ucgtRBb7Yedl1WM3Jzt6SjfIcvzxPZxe/extmk6Eim2yJR2Rc61fv57q1aubiiBHR0fmzp3L2rVrcXd31zi73Es6QkJkoX/CH7HlrzBVrHd9X9ydpRtkEc5thp2T1DF7F/B9I+X/bR2gQhuo4p/9uYkcIyEhgVGjRjF37lxTrGzZsqxdu5Zq1appl5gApBASIkvN2nUJRfn3cV4nO3rV89UuIfGvOydhw/upgv9/CUy6P8JMHjx4wJtvvsmpU6dMsS5durBgwQJZL8xCyKUxIbLIpbuP2HI2VTeonnSDLEL0bVjdGZLj1fFmk6QIEmaVL18+ypQpA4CTkxMLFy4kKChIiiALIh0hIbLIrF2X1d0gRzt6SzdIe4mxsCYAYtUD2Kn+HtQdpk1OIsfS6XQsXryYx48fM2XKFKpUqaJ1SiIVKYSEyAKX7j7ilzN3VLFe9Uri7iLdIE0ZjSmXw8LPquMl6kPr7+E/87gIkRnnz5/n7t27NGrUyBRzd3fn119/1S4p8UxyaUyILPBDet2g+tIN0tzOifBPqg8kj9IQsBLsHDRJSeQcK1asoGbNmnTq1Inbt29rnY54QVIICWFmlyNi+TlVN6hnvZLkc5EPWk2dWAkHZqpjTvkgcC24eGiSksgZ4uLi6NWrFz169ODx48fcv3+fCRMmaJ2WeEFyaUwIM/sh1Z1ieRzt6CPdIG1d25+ybth/2diB/wrwLKNJSiJn+Ouvv/D39+f8+fOmWN++fZk5c+Yz9hKWRAohIV6SwajwT/gj4vXJRMXp+fl0qm5QXekGaSrySsoK8sZkdbz1dCjVUJuchNVTFIWlS5cydOhQ4uNT7j7MkycPCxYsIDAwUOPsREZIISTES4iMTSRg4WEuR8Sm+7yrg610g7T0OApW+0PCQ3W8zhDw66FJSsL6PXr0iIEDBxIU9O+ivFWrVmXt2rWUK1dOw8xEZkghJMRL+Hb7P08tgiBlbFB+V+kGacKgh7XdIVK9xAnlW0Gzz7XJSVg9RVFo2rQpR44cMcUGDhzI9OnTcXJy0jAzkVmaD5aeO3cuvr6+ODk54efnx/79+5+5fVBQEFWrVsXFxQVvb2969epFZGRkNmUrxL9uRj1m3bFbT30+r6MdfeuXysaMhImiwK8j4Xqq3yder6bMHG1jq01ewurpdDpGjx4NQN68eQkJCWHu3LlSBFkxTQuhkJAQhg8fzrhx4zh58iQNGjSgZcuWhIaGprv9H3/8Qffu3enTpw9///0369at4+jRo/Tt2zebMxcC5u65QrLx31HROl1K8ZPX0Y5KPm4s6OYn3SCtHJoNJ1aoY3m8IDAYHPNok5PIMTp27Mh3333HyZMn8feXdeisnaaXxqZPn06fPn1MhcyMGTP47bffmDdvHlOmTEmz/eHDhylZsiTDhqXM/urr60v//v355ptvsjVvIW49eMz64zdVsZ51SzKhbSWNMhImF7bA9vHqmJ0TdFkD7kW1yUlYrRMnThAUFESrVq1U8ZEjR2qUkTA3zQqhpKQkjh8/zscff6yKN2/enIMHD6a7T926dRk3bhxbtmyhZcuWREREsH79elq3bv3U4yQmJpKYmGh6HBMTA4Ber0ev15vhnYiX8eQcWNu5mL3rEnrDv90gRzsb+tYrYXXv47+s9VyohJ/F7n990aGowsnt5qIUqgJW8t5yxLmwcoqiMHfuXD766COSkpJo2rQpvXr10jqtXC2rfh40K4Tu37+PwWDAy8tLFffy8iI8PDzdferWrUtQUBABAQEkJCSQnJxMu3bt+OGHH556nClTpjBp0qQ08d27d+Pi4vJyb0KYzY4dO7RO4YVFJcK6k7bAv8sx1PZM5tj+ndolZUbWdC7+y1H/kIb/TMReH6eKn/PuyKVrdnBti0aZZZ61ngtrFxsby+zZszl8+LApNnv2bAoVKoROlmHRzOPHj7PkdTW/ayz1N5WiKE/9Rjt37hzDhg3js88+o0WLFoSFhTF69GgGDBjAkiVL0t1n7NixqhZmTEwMxYoVo3HjxhQoUMB8b0Rkil6vZ8eOHTRr1gx7e+tYh2vCz+cwKP8Oknaws+Grbm/g5WbdgyWt8VyY6B9ju7IdNvooVdj4qj9l286hrJV9eFn1ubByR44cYfjw4Vy/ft0Ua9euHT/++COurq7aJSay7MYozQohT09PbG1t03R/IiIi0nSJnpgyZQr16tUzjdivUqUKrq6uNGjQgMmTJ+Pt7Z1mH0dHRxwdHdPE7e3t5ReMBbGW83HnYTzrjqvXEAqsVZyiBfJqlJH5Wcu5MDEaYeNQCDuljhd7HZu3Z2NjxWuIWd25sGKKovD999/z0UcfkZycMvlm/vz5WbJkCTY2Nri6usq50FhWff01u2vMwcEBPz+/NK3fHTt2ULdu3XT3efz4MTY26pRtbVNug1UUJb1dhDCreXuuqMYGOdjaMKBhaQ0zEuz+Es79pI7lLwmdg8Au7R9BQqQWGRlJu3btGDVqlKkIqlu3LqdOnaJNmzYaZyeymqa3z48cOZLFixezdOlSzp8/z4gRIwgNDWXAgAFAymWt7t27m7Zv27YtGzZsYN68eVy9epUDBw4wbNgwatWqhY+Pj1ZvQ+QSYdHxhBxV3ynWuVYxCrtb9yUxq3Y6GPZ/q445uqcspOrqqU1Owup8+OGH/PLLL6bHH330EXv27KF48eIaZiWyi6ZjhAICAoiMjOTzzz8nLCyMypUrs2XLFkqUKAFAWFiYak6hnj178ujRI2bPns2oUaPIly8fb775JlOnTtXqLYhcZN6eKyQZjKbHDrY2DGwk3SDN3DgEm4eqYzpb6LQMCpbXJidhlaZOncpvv/2GXq9n5cqVvPXWW1qnJLKR5oOlBw0axKBBg9J9bvny5WliQ4cOZejQoWk3FiILhUcnEHxE3Q0KeK0Y3u7OGmWUy0Vdg5CuYEhSx1t9A2WaaJOTsBqpb8opVKgQP/30Ez4+PhQpUkTDzIQWNF9iQwhrMH+vuhtkb6uTbpBW4h/C6gB4nOoOktoD4DWZZV482759+3j99de5d++eKv7aa69JEZRLSSEkxHPcjUlg9RH1si8BrxXDJ590g7KdIRnW9YT7/6jjZZpB8y81SUlYB4PBwOTJk2ncuDFHjhyhR48eGI3G5+8ocjzNL40JYenm7blCUnLqblAZDTPKpRQFto6Bq7vV8UKvQMelYCu/zkT67t69y3vvvcfvv/9uiiUmJhIbG4ubm5uGmQlLIB0hIZ4hIiaBNam6QZ1qFqOIdIOy358L4FiqiVNdC0KXYHCSDzORvl27dlG1alVTEWRjY8OkSZPYvn27FEECkI6QEM80b+8VElN1gwbJ2KDsd3E7/DZWHbN1hM6rIX8JbXISFs1gMPD555/zxRdfmOaZ8/b2ZvXq1TRq1Ejb5IRFkUJIiKeIiElg9Z/qblBHv2IUzS9r1GWru3/D+t6gpBrP8c5cKFZLm5yERbtz5w5du3Zlz549pljz5s1ZuXIlhQoV0i4xYZHk0pgQT7Fg31VVN8jORrpB2S42AlZ3hqRH6nijsfBqR21yEhZv586dpiLI1taWr776iq1bt0oRJNIlHSEh0hHxKIFVh2+oYp1qFqWYh3SDso0+AYIDIVrdlaNyR2j4kTY5Cavw3nvvsWPHDnbt2kVwcDD169fXOiVhwaQQEiIdC/em1w2SO8WyjaLAT4Ph1lF1vOhr8PYcsLLV5EXWio6Oxt3d3fRYp9Mxd+5cEhIS8PSUpVbEs8mlMSFSufcokVV/qrtBHWpINyhb7Z0Kf61Xx9yLpQyOtpe13cS/tmzZQunSpdmwYYMqnidPHimCxAuRQkiIVBbuu0KCXt0NGtxYukHZ5ux62DNFHXPIC4EhkEfGeIgUer2eMWPG0Lp1ayIjI+nduzfXrl3TOi1hheTSmBD/cT82kZWpxga1r1GE4gWkG5Qtbh6FTanWHtTZpEyY6FVJm5yExblx4wadO3fm8OHDpljDhg1Vl8eEeFHSERLiPxbtu6rqBtna6BjSuKyGGeUiD25AcBcwJKrjLaZAueba5CQszk8//US1atVMRZC9vT0zZsxg06ZNeHh4aJydsEbSERLi/92PTWTFoVTdoOrSDcoWCTGwpjPEqRfCpGYfqN1fm5yERUlKSmLMmDHMnDnTFPP19SUkJITXXntNw8yEtZNCSIj/t2j/VeL1BtNjWxsdQ96UsUFZzpCcMmFixDl1vFRjaDlV7hATXL9+nU6dOnHs2DFTrEOHDixevJh8+fJpl5jIEeTSmBBAZGwiK1N1g96pVoQSBVw1yigX2f4pXN6hjnmWh07LwdZek5SEZbGzszMNhHZwcGDOnDmsW7dOiiBhFlIICQEs2n+Nx0nqbtBQ6QZlvaOL4c956pizR8odYs75NElJWJ6iRYvy448/Uq5cOQ4fPsygQYPQSadQmIkUQiLXi4pLYsWh66rY29V8KOkp3aAsdXknbBmjjtk6pMwV5OGrTU7CIly+fJno6GhVrHXr1vz1119Ur15do6xETiWFkMj1Fu+/quoG2ehg6Jtyp1iWirgA63qCYlDH286CEnU0SUlYhuDgYGrUqEG/fv1Mq8Y/YW8vl0qF+UkhJHK1B3FJ/Hjwuir2TrUi+Eo3KOvE3YfV/pAYo443GAXVumiTk9BcfHw8/fv3p0uXLjx69Ih169axcuVKrdMSuYDcNSZytcV/XCUuVTdI7hTLQsmJEPIePFQPTOeVt6Hxp9rkJDR34cIF/P39OXv2rCnWrVs32rdvr2FWIreQjpDItVK6QeoP5HZVfShVMI9GGeVwigKbh0HoIXXcpzq8Mx9s5NdRbrRy5Upq1qxpKoKcnZ1ZunQpP/74I3nyyM+iyHrSERK51pI/rhGbmGx6nNINkrFBWWb/d3AmWB1zKwJdgsFBJq3MbeLi4hgyZAjLly83xV555RXWrVvHK6+8ol1iIteRQkjkSg8fJ7E81digtlV9KFNI/gLNEn9vgl1fqGP2rilFUN7CmqQktHP//n0aNmzIuXP/TqLZu3dvfvjhB1xcpCgW2Ut60SJXWpqqG6TTIfMGZZXbx2HjgFRBHXRYDN5VNElJaKtAgQKUK1cOAFdXV1auXMmSJUukCBKakI6QyHWiH+tZduC6Kta2ig9lCuXVJqGcLPoWrOkCyfHqePMvoEIrbXISmtPpdCxduhSDwcC0adMoX7681imJXEwKIZHrLDlwjUepukHDmkg3yOwSY1MWUo29q47X6A51hmiTk9DEmTNnePDgAQ0bNjTF8ufPz+bNmzXMSogUcmlM5CrR8XqWHbimirV+1Vu6QeZmNMCGfhB+Vh0v2QBafScLqeYSiqKwYMECatWqRadOnbhz547WKQmRhhRCIldZ+sc1HiWk7gbJnWJm9/sE+GeLOlagDPivADsHbXIS2SomJoYuXbowYMAAEhMTuXfvHl9++aXWaQmRhlwaE7lGdLyepam6Qa1e9aacl3SDzOr4j3DwB3XMKR8ErgUXD01SEtnrxIkT+Pv7c+XKFVNsyJAhTJs2TcOshEifdIRErrH8wHVVNwhgmMwbZF7X9sGvI9UxGzsIWAUFSmuTk8g2iqIwe/Zs6tSpYyqC3N3dWb9+PT/88ANOTk4aZyhEWtIRErlCTIKeJX9cVcVav+pN+cLSDTKb+5chpBsY1cUmbb4H3wba5CSyzcOHD+nTpw8bNmwwxV577TVCQkLw9fXVMDMhnk0KIZErLD9wnZhU3aChcqeY+TyOgtWdIOGhOl53WMpdYiJHMxqNNGrUiNOnT5tiI0aM4Ouvv8bBQcaECcsml8ZEjpfSDVKPDWpZuTAVCrtplFEOk5wEa7tDlLrjRoU20HSSNjmJbGVjY8PYsWOBlNvif/rpJ6ZPny5FkLAK0hESOd6PB64THa9XxeROMTNRFPh1BFzfr44XrgLtF8pCqrlIQEAAd+7coUOHDhQvXlzrdIR4YfJbSuRojxL0LE7VDXqrUmEqeks3yCwOzoKTq9SxPIX/fyFVV21yElnu0KFDjBs3Lk18xIgRUgQJqyMdIZGjrTh0Q7pBWeX8L7Bjgjpm5wxd1oB7EW1yElnKaDTy7bff8sknn2AwGKhYsSLvvfee1mkJ8VKkIyRyrNjEZBbtV49baVHJi1d8pBv00sJOp8wcjaKOt18IRWpokpLIWvfv36dNmzZ89NFHGAwGAFavXo2iKM/ZUwjLJoWQyLF+PHidh4+lG2R2MWGwujPoH6vjTSbAK+20yUlkqf3791OtWjW2bt0KpCyaOm7cODZv3oxOlksRVk4ujYkcKTYxmcWpukHNXvGiko+7RhnlEEmPUxZSfZRqzaiqgVB/hDY5iSxjNBqZMmUKn332GUajEYCCBQsSFBREs2bNNM5OCPOQQkjkSCsOXedBqm7QB9INejlGI2x8H8JOqePF60LbGbKQag5z9+5dunXrxo4dO0yxxo0bExQUhLe3t4aZCWFecmlM5Dhxicks2qfuBjWt6EXlItINeim7voDzP6tj+X1Tls+wc9QmJ5FlRo4caSqCdDodEydOZMeOHVIEiRxHOkIix1l5+IZ0g8zt1Gr4Y7o65uiespCqawFtchJZavr06ezatQtIGRTduHFjjTMSImtIISRylMdJySxM1Q1qUqEQrxaVblCm3TgIm4epYzpb8P8RCpbTJidhdoqiqAY+e3l58fPPP1OsWDG8vLw0zEyIrCWXxkSOsvLQDaLiklSxD5pKNyjTIq9AcFcwqjtstJoGpaVDkFPs2LGD1157jcjISFW8Zs2aUgSJHE8KIZFjpNcNerNCIaoUzadNQtYu/gGsDoD4KHX89UHwWh9tchJmlZyczKeffkqLFi04fvw4PXv2lHmBRK4jl8ZEjhF0OJTI1N0gGRuUOQY9rOsJkZfU8bItoPlkTVIS5nXr1i0CAwPZv//fdeIMBgOPHz/G1VWWRxG5h3SERI4Qn2Rgwb4rqljj8gWpWiyfNglZM0WBLaPh6h51vFAl6LgEbGw1SUuYz5YtW6hWrZqpCLK1teWbb77hl19+kSJI5DrSERI5QtCfN7gfm3pskAzkzQybowvh+DJ10LUQBAaDY15tkhJmodfrGTduHNOmTTPFihcvTnBwMHXq1NEwMyG0I4WQsHrxSQbm71WPDWpYriDVpBuUYV7Rp7A5NUMdtHVMWUg1n6wqbs1CQ0Pp3Lkzhw4dMsXatWvHsmXL8PDw0DAzIbQll8aE1UvpBiWqYnKnWCbc/Zua1+eiU4zq+LvzoGhNbXISZrNz505TEWRvb8/333/Ppk2bpAgSuZ50hIRVS9AbWJDqTrE3yhWkRvH8GmVkpR7dxW5tV3TGBHW88Tio3EGbnIRZ9ezZk99//52DBw+ydu1aXnvtNa1TEsIiSCEkrNrqP0O59yhVN0juFMsYfTwEB6KLuaWOv9oJ3hitTU7ipT148ID8+f/9g0Cn0zF//nwMBgP58uXTLjEhLIxcGhNWK0FvYN5e9Z1iDcp64ldCukEvzGiETYPg9jF1vGgtaDdbFlK1Uhs2bKBUqVJs3rxZFc+bN68UQUKkIoWQsFprjqTtBg2XsUEZs/dr+HuDKqS4F4fOq8HeSaOkRGYlJCQwdOhQOnTowMOHD+nZsyc3btzQOi0hLJpcGhNWKUFvYN4edTeofhlP/ErIwM8XdmYt7J2qCultnMA/CPs8BTVKSmTW5cuX8ff35+TJk6ZY8+bNVZfHhBBpSUdIWKXgI6FEpB4bJN2gFxf6J/w0WBVSdDYc8x0ChSpqlJTIrJCQEGrUqGEqghwdHVmwYAFr1qzBzc1N4+yEsGzSERJWJ72xQfXKFOC1ktINeiEPbkBwIBjUE1Aam31FxD0fjZISmREfH8+IESNYsGCBKVa+fHnWrl1LlSpVNMxMCOshHSFhddYeu8ndmNR3isks0i8kITplIdXH99Xx1/phfK2vNjmJTLl8+TKvv/66qgh67733OHbsmBRBQmSAFELCqiQmG5i7W90Nqlu6ALV8pRv0XIZkWN8b7p1Xx0s3gbe+1iYnkWkODg7cvHkTAGdnZ5YsWcKKFSvIkyePxpkJYV2kEBJWZe3Rm4THqCf9k3mDXtBvn8Dl39WxghWg0zKwlavk1qZ48eL8+OOPvPLKKxw9epTevXujk+kOhMgwKYSE1UhMNjA31Z1ir5fyoHapAhplZEWOLIIjC9QxlwIQGAJO7trkJDLk/PnzPHr0SBVr27Ytp0+fplKlShplJYT1k0JIWI21x24RFp26GyRjg57r8u+w9SN1zNYhZa6g/CU1SUm8OEVRWLZsGX5+fvTv3x9FUVTP29lJN0+Il6F5ITR37lx8fX1xcnLCz8+P/fv3P3P7xMRExo0bR4kSJXB0dKR06dIsXbo0m7IVWklMNjBv92VVrLavB3VKSzfomSLOw7peoBjU8Xazofjr2uQkXlhsbCw9evSgd+/exMfHs2bNGkJCQrROS4gcRdM/JUJCQhg+fDhz586lXr16LFiwgJYtW3Lu3DmKFy+e7j7+/v7cvXuXJUuWUKZMGSIiIkhOTs7mzEV2W3/8FndSd4Nk3qBni7sPq/0hMUYdf2M0VA3QJifxwq5fv86YMWO4ePGiKda/f3/efvttDbMSIufRtBCaPn06ffr0oW/flNt2Z8yYwW+//ca8efOYMmVKmu23bdvG3r17uXr1Kh4eKXcJlSxZMjtTFhpISjamuVOslq8HdWRs0NPpE1LmCnoYqo5XehcafaJNTuKFKIrC4sWLGTNmDElJKXM95c2bl4ULF9K5c2eNsxMi59GsEEpKSuL48eN8/PHHqnjz5s05ePBguvts3ryZmjVr8s0337By5UpcXV1p164dX3zxBc7Ozunuk5iYSGLiv3POxMSk/HWs1+vR6/Vmejcis56cg2edi5Cjt7j9MF4VG9LIVzqBT6Mo2G4egs3NP1Vho08NDK1ngcGQ8i+VFzkXImvFxMQwaNAg1q5da4pVq1aNoKAgypYtK+dGA/JzYTmy6hxoVgjdv38fg8GAl5eXKu7l5UV4eHi6+1y9epU//vgDJycnNm7cyP379xk0aBBRUVFPHSc0ZcoUJk2alCa+e/duXFxcXv6NCLPYsWNHuvFkI3x/yhb497bgUnkVos7/yZYL2ZSclSkX/hMVw/6nij2292CfR08Sd+x+7v5POxciaz18+JCxY8cSFhZmirVq1YqePXty6dIlLl26pGF2Qn4utPf48eMseV3NbzdIPe+FoihPnQvDaDSi0+kICgrC3T3llt/p06fTsWNH5syZk25XaOzYsYwcOdL0OCYmhmLFitG4cWMKFJBLK1rT6/Xs2LGDZs2aYW9vn+b5kGO3iEo8p4pN6FCTujJIOl26c5uwO6kughQHV+y7b6CJV+Vn7vu8cyGylqIorFu3jl9//RV3d3f69+/PhAkT5FxoTH4uLEdkZGSWvK5mhZCnpye2trZpuj8RERFpukRPeHt7U6RIEVMRBFCxYkUUReHWrVuULZt28KyjoyOOjo5p4vb29vJNbUHSOx96g5H5+66pYjVL5OeN8l4ycVx6bh2Hn4ekCurQdViKfdHqL/wy8rOhnRUrVtC3b1+mTJnChQsX5FxYEDkX2suqr79mt887ODjg5+eXpt24Y8cO6tatm+4+9erV486dO8TGxppiFy9exMbGhqJFi2ZpviL7bThxi1sP1GODPmhaVoqg9Dy8CWs6Q7L6zjpafAnl39ImJ/FMR48eZd++faqYh4cHGzZsoFSpUhplJUTuo+k8QiNHjmTx4sUsXbqU8+fPM2LECEJDQxkwYACQclmre/fupu0DAwMpUKAAvXr14ty5c+zbt4/Ro0fTu3fvpw6WFtZJbzDywy71vEF+JfJTv4ynRhlZsMRHKUVQXIQ67tcTXh+kSUri6RRFYcaMGdSrVw9/f/+njokUQmQPTQuhgIAAZsyYweeff061atXYt28fW7ZsoUSJEgCEhYURGvrv7b958uRhx44dPHz4kJo1a9K1a1fatm3LrFmztHoLIotsPHE7bTeoiXSD0jAa4H994e5f6rjvG9DqW5Cvl0WJiorinXfeYcSIEej1eu7evcs333yjdVpC5GqaD5YeNGgQgwal/1fr8uXL08QqVKggo/dzOL3ByOxUs0hXL56PBmWlG5TGjs/g4jZ1rEBZ8F8BtjKewZIcOnSIzp07q/64Gz16NF9++aWGWQkhNF9iQ4jUNp68TWiU+jbJ4U3LSTcotWPL4NBsdcw5f8pCqs75tclJpGE0Gpk2bRpvvPGGqQgqUKAAv/zyC998840MwBVCY5p3hIT4r2SDkTmpukHViuXjDekGqV3dA1s+VMds7CFgFRQorUlKIq379+/To0cPtmzZYorVr1+fNWvWyA0eQlgI6QgJi7Lp1B1uRKq7QXKnWCr3LsLa7mBMNbN22xlQsr4mKYm0kpOTadCggakI0ul0fPLJJ+zevVuKICEsiBRCwmIkG4z8sEs9e27VYvloVK6gRhlZoMdRKQupJkSr4/WGQ/X3NElJpM/Ozo5PP/0UgIIFC7Jt2za+/PJL7OykES+EJZGfSGExfkqnGzRc7hT7V3IShLwHD9STTFKhDTSZoE1O4pm6du3KvXv3CAgIwNvbW+t0hBDpkI6QsAjJ6dwpVqWoO43KSzcIAEWBX0bAjQPquHdVaL8QbORHWWu7d+9m3LhxaeLDhw+XIkgICyYdIWERfjkbzrX7carYcBkb9K8DM+HUKnUsrzd0CQYHV21yEgAYDAa++OILPv/8cxRF4dVXX6Vz585apyWEeEHyZ6TQnFGBuXuuqmJVirrTuHwhjTKyMOd/ht8nqmP2LilFkJuPJimJFGFhYTRr1oxJkyahKAoA69at0zgrIURGSCEkNHfivo5rqcYGDXtTukEA3DkJ/+sHKP8J6lIuh/lU0ygpASnrIlarVo3du3cDYGNjw+TJk6UQEsLKyKUxoSmDUeG3W+p6vHIRN5pUlG4QMXdgTRdIVi81QtOJULGtJimJlNviJ06cyFdffWXqAvn4+LBmzRreeOMNjbMTQmSUFEJCU7+eDSciQd35+aCJzCJNUlzKQqqPwtTxau9BvQ+0yUlw69YtAgMD2b9/vyn21ltvsWLFCgoWlIH9QlgjuTQmNGMwKsxJNTaoko8bTXN7N8hohA3vQ9hpdbxEPWjzvSykqqERI0aYiiBbW1umTp3Kr7/+KkWQEFZMOkJCM7+cucPVVHeKyQrzwM5JcOEXdcyjVMryGXYO2uQkAJg1axb79u3D0dGR4OBg6tatq3VKQoiXJIWQ0ITBqPDDLvW8Qa94u9HsFS+NMrIQJ1fBgRnqmJM7BK4FFw9NUsrNjEYjNv+Zo8nb25tff/2VUqVK4eEh50OInEAujQlNbDkbxuWIWFVsWG7vBl3/A34ero7Z2IH/CvAsq0lKudnmzZupWbMmUVFRqnjNmjWlCBIiB5FCSGQ7o1Fh1k71mmIVCueleW7uBkVeSVk+w6hXx1t/B6UaaZJSbpWUlMTIkSN5++23OXnyJL179zbdHSaEyHnk0pjIdlv+CuNSqm7QkEalsLHJpd2g+AcpC6nGP1DH6wwBv56apJRbXbt2jYCAAI4ePWqK2djYkJCQgLOzs4aZCSGySqYKobi4OL7++mt27txJREQERqNR9fzVq1efsqfI7dLrBnm7KDTLrXeKGfSwtjtEqsdLUa4lNPtcm5xyqQ0bNtC7d2+io6MBcHBw4LvvvmPw4MG5+5KtEDlcpgqhvn37snfvXrp164a3t7f8khAvbOtf4Vy8q+4GvVXUmDu7QYoCWz6Ea/vUca9XocNisLHVJq9cJjExkQ8//JDZs2ebYqVLlyYkJAQ/Pz8NMxNCZIdMFUJbt27l119/pV69eubOR+Rg6XWDyhXKQxWPh9okpLXDc+H4cnUsjxcEBoNjHk1Sym0uX75MQEAAJ06cMMX8/f1ZtGgRbm5uGmYmhMgumRosnT9/frlrQmTYb3+H88/dR6rYkMalyI3NIP7ZCr+NU8fsnKDzGnAvqk1OudCuXbtMRZCjoyPz588nODhYiiAhcpFMFUJffPEFn332GY8fP37+xkKQ0g2ambob5JWHFrnxTrHws7C+D+qFVIF350NRuRSTnfr164e/vz/lypXjzz//pH///nKpX4hcJlOXxr777juuXLmCl5cXJUuWxN7eXvX8f9vMQgBsPxfOhXB1N2hYk7K5b2zQo3BY3Rn06hm1efNTqPSuNjnlIpGRkRQoUMD0WKfTsWjRInQ6HXnz5tUwMyGEVjJVCL3zzjtmTkPkZCndIPVdUWUL5aFVZW8MhmSNstKAPj5lNfmYW+p4lQBo8KE2OeUiq1atYuDAgaxZs4Y2bdqY4nIZTIjcLVOF0IQJE8ydh8jBtp+7y/mwGFXsSTfIYNAoqexmNMLGAXAnVbe02OvQ7gdZSDULPX78mKFDh7J06VIAevTowalTpyhWrJjGmQkhLIFMqCiylKKkvVOsTKE8tHrVW6OMNLLnKzi3SR3LVwI6B4GdoyYp5Qbnzp2jU6dOnDt3zhRr166d3OwhhDB54ULIw8ODixcv4unpSf78+Z85oDD12jwi99px7i7nUnWDhr5ZBtvcNDbodAjsm6aOObqlLKTq6qlNTrnA8uXLGTRoEPHx8QC4uLgwb948unfvrnFmQghL8sKF0Pfff28aTDhjxoysykfkIIqS9k6x0gVdaVPFR6OMNBB6GDYPUcd0ttBpGRSqoE1OOVxsbCyDBw9mxYoVpljlypVZt24dFSrI11wIofbChVCPHj3S/X8hnub38xH8fSft2KBc0w2KugbBgWBIUsdbToUyTbXJKYc7f/487du358KFC6ZYv379mDlzpqwVJoRI10uPEYqPj0evV6+YLXdhiJRu0EVVrFRu6gYlRMOazvA4Uh2v1R9q9dMmp1zA2dmZsLAwAPLkycPChQvp0qWLxlkJISxZpiZUjIuLY8iQIRQqVIg8efKQP39+1T8hdp6P4K/bqbpBb+aSbpAhGdb1hHsX1PEyzaDFV5qklFuULFmSZcuWUb16dU6cOCFFkBDiuTJVCI0ZM4Zdu3Yxd+5cHB0dWbx4MZMmTcLHx0d1XV7kTumNDSrl6UrbqrmkG7TtY7iySx0rWBE6LgVbuVHTnE6fPs2jR+qJOt99912OHDlC2bJlNcpKCGFNMlUI/fzzz8ydO5eOHTtiZ2dHgwYN+PTTT/nqq68ICgoyd47Cyuz+J4Kzt6NVsSG55U6xPxfC0UXqmIsnBIaAk1wyNhdFUZg7dy61atVi4MCBKIp6uRI7Oyk4hRAvJlOFUFRUFL6+vkDKeKAnt8vXr1+fffv2mS87YXUURWHm7+pukK+nK+1yQzfo0u+w7SN1zNYROq+G/CW0ySkHio6Oxt/fn8GDB5OUlERQUBAbNmzQOi0hhJXKVCFUqlQprl+/DsArr7zC2rVrgZROUb58+cyVm7BCe/65x+lbqbpBjctgZ5upbzXrcfdcyrggxaiOvz0HitfWJKWc6OjRo1SvXp3169ebYh988IFqyQwhhMiITH069erVi9OnTwMwduxY01ihESNGMHr0aLMmKKyHoijMSDU2qGQBF96ulsO7QbH3YHUAJKnHqtDwI6jSSZucchhFUZg5cyb16tXj2rVrAOTLl4+NGzcyY8YMHB1ldm4hROZk6kL6iBEjTP/fuHFjLly4wLFjxyhdujRVq1Y1W3LCuuy9eI/TNx+qYkPeLJuzu0H6hJS5gqJD1fHKHaDRWG1yymEePHhA79692bRpkylWu3ZtQkJCKFFCLjkKIV5Ohgqh+Ph4du7caWpDjx07lsTERNPzhw8fpnz58jg5OZk3S2HxFEVhRqqxQSUKuPBOTu4GKUrKrNG3jqjjRWqmXBKThVRf2q1bt6hfvz43btwwxT788EO++uor7O3tNcxMCJFTZKgQWrFiBb/88oupEJo9ezaVKlUyzdh64cIFvL29VR0jkTvsu3SfU6m6QYNz+tigfdPg7Dp1zL1YyuBoe5nF2Bx8fHx45ZVXuHHjBh4eHqxYsYLWrVtrnZYQIgfJ0KdUUFAQvXv3VsVWr17N7t272b17N9OmTTMNnBa5R8qdYupZpIt7uPBu9SIaZZQN/vof7P5SHXPIA12CIa+XNjnlQDY2NqxYsYJOnTpx6tQpKYKEEGaXoULo4sWLlCtXzvTYyckJG5t/X6JWrVqcO3fOfNkJq7D/0n1OhD5UxYY0LoN9Tu0G3TwKGweqYzqblAkTC1fWJqcc4o8//kgzBYenpydr166lWLFiGmUlhMjJMvRJFR0drZqo7N69e5QsWdL02Gg0qsYMiZwvvVmki3k4826NHNoNehgKwV3AkOr7vMVXUK6FNjnlAEajkSlTptCoUSMCAgKIiIjQOiUhRC6RoUKoaNGi/PXXX099/syZMxQtWvSlkxLW48DlSI7feKCK5dhuUOIjWN0Z4u6p4zV7Q+0B2uSUA0RERNCyZUs++eQTDAYD4eHhfP/991qnJYTIJTL0adWqVSs+++wzEhIS0jwXHx/PpEmT5Bp+LpJyp5h6bFDR/M60r5EDi2GjAdb3gYi/1fFSjaDlN3KHWCbt2bOHatWqsX37dgB0Oh2fffYZX3zxhcaZCSFyiwzdNfbJJ5+wdu1aypcvz5AhQyhXrhw6nY4LFy4we/ZskpOT+eSTT7IqV2FhDl6J5FiqbtDgnNoN2v4pXPpNHfMsB51+BFu5jTujDAYDkydP5vPPP8doTJmN28vLi6CgIJo0aaJxdkKI3CRDhZCXlxcHDx5k4MCBfPzxx6aFDnU6Hc2aNWPu3Ll4eckdM7lBemuKFcnnTIec2A06ugQOz1XHnD1SFlJ1zqdJStYsPDycrl27smvXLlOsSZMmrFq1isKFC2uYmRAiN8rwzNK+vr5s27aNqKgoLl++DECZMmXw8PAwe3LCch26EsmR61Gq2ODGZXCwy2HdoCu7YUuqZWNs7KFzEHiU0iYnK6bX66lXrx5Xr14FUm6PnzRpEmPHjsXW1lbj7IQQuVGmltgA8PDwoFatWubMRViR1GuKFcnnTEe/HNYNuncR1vYAxaCOt5sFJepqk5OVs7e3Z+LEiXTv3h0fHx9Wr15Nw4YNtU5LCJGLZboQErnXoSuRHLmm7gYNalw6Z3WD4iJhdSdIjFbH64+EaoHa5JRDdOvWjQcPHtClSxcKFiyodTpCiFwuB31yieyS+k4xH3cnOvnloMnukhMh5D14cF0dr9gO3hyvSUrWatu2bYwbNy5NfNiwYVIECSEsgnSERIYcvhrJn6m6QQNz0tggRYGfh0PoQXXcuxq8uwBscsj7zGJ6vZ7x48czdepUAKpVq0anTp00zkoIIdKS3+oiQ1LfKebt7oR/zRw0NuiP7+H0anUsr0/KGmIOLtrkZGVCQ0Np1KiRqQgC+OmnnzTMSAghnk4KIfHC/rwayaGrkarYoEalcbTLIXf7nNsMOyepY/YuEBgMbt7a5GRlfv75Z6pXr87BgykdNTs7O7777jtWrlypcWZCCJE+uTQmXljqNcUKuznh/1oOGRt0+wRseD9VUAcdFoN3VU1SsiZJSUmMHTuW6dOnm2IlSpQgJCSE2rVra5iZEEI8mxRC4oUcuRbFwSupukGNc0g3KPo2rOkCyfHqeLPPoYIsGfM8165do3Pnzhw5csQUe+edd1i6dCn58+fXMDMhhHg+uTQmXsjMneo7xbzcHPGvmQO6QYmxsCYAYsPV8erdoO5QbXKyMiNGjDAVQQ4ODsyaNYsNGzZIESSEsArSERLPdex6FAcuq7tBAxuWxsneyrtBRmPK5bDws+p4yQbQerospPqC5syZw4EDB3Bzc2Pt2rX4+flpnZIQQrwwKYTEc6UeG1QoryOdaxXXKBsz+n0C/POrOuZRGvxXgJ2DNjlZAaPRiM1/phEoUqQIW7dupWzZsri7u2uYmRBCZJxcGhPPdPxGFPsv3VfFBjbKAd2gEyvg4Cx1zCkfBK4FF1k372nWrl1LjRo1ePjwoSpes2ZNKYKEEFZJCiHxTDNSzRtUMK8jXay9G3RtP/wyQh2zsYOAleBZRpucLFx8fDwDBgwgICCA06dP06dPHxRF0TotIYR4aXJpTDzV8RsP0naDrH1sUOSVlOUzjMnqeOvp4PuGNjlZuH/++Qd/f3/OnDljijk7O5OUlISjo6OGmQkhxMuTjpB4qtRjgwrmdSSwthV3gx5HwWp/SHiojtcdCn49NEnJ0gUFBeHn52cqgpydnVmyZAkrV66UIkgIkSNIR0ik62ToA/ZdvKeK9X+jlPV2g5KTYG13iLysjpdvBU0npb9PLvb48WOGDRvGkiVLTLGKFSuydu1aKleurGFmQghhXpp3hObOnYuvry9OTk74+fmxf//+F9rvwIED2NnZUa1ataxNMJdK3Q3yzONI19olNMrmJSkK/DoSrqf63ir8KrRfBDZWWtxlkXPnzlGrVi1VEdSjRw+OHj0qRZAQIsfRtBAKCQlh+PDhjBs3jpMnT9KgQQNatmxJaGjoM/eLjo6me/fuNGnSJJsyzV1O3XzInn/U3aABDUvh7GClBcOh2XAy1VpXeQpDlxBwzKNNThZs//79/P333wC4uLiwfPlyli9fjqurq8aZCSGE+WlaCE2fPp0+ffrQt29fKlasyIwZMyhWrBjz5s175n79+/cnMDCQOnXqZFOmucvM39WzSHvmcbDebtCFLbB9vDpm5wxd1oB7EW1ysnDvv/8+HTt2pHLlyhw7dowePWT8lBAi59JsjFBSUhLHjx/n448/VsWbN29uWrk6PcuWLePKlSusWrWKyZMnP/c4iYmJJCYmmh7HxMQAoNfr0ev1mcw+5zpzK5rdqbpBfeuXxE5nRK83mv14T85BlpyL8LPY/a8vOtS3eSe3m4NS6FWQ8w9AREQEhQoVMp2D5ORk5s+fj52dHS4uLvJzooEs/bkQGSLnwnJk1TnQrBC6f/8+BoMBLy8vVdzLy4vw8PB097l06RIff/wx+/fvx87uxVKfMmUKkyalHQy7e/duXFxcMp54DrfgvA3/bRTmsVPwiDrHli3nsvS4O3bsMOvrOekf8MY/E7HXx6ni57w7cemaHVzbYtbjWSNFUdixYwdLlixhzJgxpqUxzH0uRObJubAcci609/jx4yx5Xc3vGtOlWs9JUZQ0MQCDwUBgYCCTJk2iXLlyL/z6Y8eOZeTIkabHMTExFCtWjMaNG1OgQIHMJ54Dnb0dzblDf6pig5qU4936vll2TL1ez44dO2jWrBn29vZmetHH2K5sh43+gSpsfDWAsm1nU1bWECMmJoZBgwaxdu1aAObNm8ehQ4f4+++/zXsuRKZkyc+FyBQ5F5YjMjLy+RtlgmaFkKenJ7a2tmm6PxEREWm6RACPHj3i2LFjnDx5kiFDhgApax4pioKdnR3bt2/nzTffTLOfo6NjuvOd2Nvbyzd1KnP3XlM99nB1oGe9UtjbZ/23idnOh9EIG4dC2Cl1vHgdbN7+ARtZQ4yTJ0/i7+/P5cv/TiXg7++Pl5cXf//9t/xsWBA5F5ZDzoX2surrr9lgaQcHB/z8/NK0G3fs2EHdunXTbO/m5sbZs2c5deqU6d+AAQMoX748p06donbt2tmVeo509lY0v5+PUMXef6MULg6aNw0zZveXcO4ndSx/SQgIArvcPQGgoijMnTuXOnXqmIogNzc31q1bx5w5c3ByctI4QyGEyH6afsqNHDmSbt26UbNmTerUqcPChQsJDQ1lwIABQMplrdu3b7NixQpsbGzSzGFSqFAhnJycZG4TM0g9b5CHqwPdXreyO8VOrYH936pjju4pC6m65u7LoNHR0fTt25f169ebYn5+foSEhFC6dGkNMxNCCG1pWggFBAQQGRnJ559/TlhYGJUrV2bLli2UKJHyARwWFvbcOYXEy/vrdjS/n7+rivVrUApXRyvqBt04CJuHqmM6W/BfDgXLa5KSpThz5gzvvvsuV69eNcU++OADpk6dKstkCCFyPc0/6QYNGsSgQYPSfW758uXP3HfixIlMnDjR/EnlMqm7Qfld7Olex4q6QVFXIbgrGFPdWtlqGpROO24st8mTJw/376csnpsvXz6WLVvGO++8o21SQghhITRfYkNo6+870ew4p+4G9bWmblD8Q1jdGeKj1PHaA+G1PpqkZGlKlSrF4sWLqV27NidPnpQiSAgh/kMKoVxuVqpuUD4Xe3rULalNMhll0MO6nnD/H3W8bHNo8aUmKVmCY8eOERennj+pU6dOHDhwgJIlS2qTlBBCWCgphHKxc3di+O3vtGOD8lhDN0hRYOsYuLpbHS9UCTouzZULqRqNRr799lvq1KnD4MGD0zxva5v7viZCCPE8UgjlYqm7Qe7OVjQ26M8FcGypOuZaEAKDwTGvNjlp6P79+7Rr147Ro0eTnJzMjz/+yM8//6x1WkIIYfGs4E9/kRXOh8Ww7W/1ZJb9GviS18kKJgy7uB1+G6uO2TpC5zWQr7g2OWnojz/+oEuXLty6dcsUGzt2LC1bttQwKyGEsA7SEcql0usGWcXYoLt/w/reoKRaAPaduVDsNW1y0ojRaGTKlCk0atTIVAQVLFiQbdu28dVXX73wenxCCJGbyW/KXOhCeAxb/1J3g/rUt4JuUGxEyh1iSY/U8UZj4dWO2uSkkYiICLp168b27dtNsYYNG7J69Wp8fHw0zEwIIayLFEK50A87L6seuznZ0bNeSW2SeVH6eAgOhOhUE2xW7ggNP9ImJ41cv36dunXrEhYWBqQsXDx+/HjGjx8vXSAhhMgg+a2Zy/wT/ohfz4apYn3ql8LNkrtBigI/DYZbR9XxorXg7TmQy1aTL168OFWqVCEsLAwvLy+CgoJo0qSJ1mkJIYRVkjFCucysXeqxQXmtoRu0dyr89T91zL04dA4C+9y3UKiNjQ0rVqwgMDCQU6dOSREkhBAvQTpCucjFu4/YkqYb5Iu7swV3g86uhz1T1DGHvBAYAnkKaZNTNvv9999xcnKifv36plihQoUICgrSMCshhMgZpCOUi8zaeQlF+fdxXic7etXz1S6h57l5BDalWodOZwOdloHXK9rklI2Sk5MZP348zZs3JyAggHv37mmdkhBC5DhSCOUSl+6mHRvUq54Fd4Me3EgZHG1IVMff+hrKNtMmp2x0+/ZtmjRpwuTJk1EUhTt37jB37lyt0xJCiBxHLo3lEj/suqzuBjna0cdSu0EJMbCmM8Sl6oC81hdqva9NTtlo27ZtdOvWzbRivK2tLV9++SWjR4/WODMhhMh5pBDKBS5HPOLnM3dUsV71SuLuYoHdIENyyoSJEefU8dJvwltTc/QdYnq9nvHjxzN16lRTrGjRogQHB1OvXj0NMxNCiJxLCqFcIHU3KI+jHb3rW2g3aPs4uLxDHfMsDx2XgW3O/Xa9efMmnTt35uDBg6ZYmzZtWL58OQUKFNAwMyGEyNly7ieLAOByRCw/n1Z3g3rWLUk+FweNMnqGI4vgz/nqmEuBlDvEnPNpklJ2SExMpF69ety8eRMAOzs7vv76a0aOHIkuB3fAhBDCEshg6Rxu9q5LGFN1g/pYYDdId3U3bE01Q7StAwQEgYfl5WtOjo6OTJo0CYASJUqwf/9+Ro0aJUWQEEJkA+kI5WBX78WyOVU3qEfdEuR3taxuUN7429hu+AoUg/qJdj9AiTraJJXNevbsSVxcHF27diV//vxapyOEELmGdIRysNm7Lqu6Qa4OtvStX0q7hNITd5/aV6ejS0y1kGqDD6FqZ21yymIbN25k3LhxqphOp2PIkCFSBAkhRDaTjlAOdfVeLJtO3VbFetQtaVndoOREbP/XE9ekVLfJv/IONB6X7i7WLDExkdGjR/PDDz8A4OfnR/v27TXOSgghcjfpCOVQs3eru0EuDrb0bWBB3SBFgc3DsLl5WB33qQHvzAObnPWteeXKFerVq2cqggC2bt2qYUZCCCFACqEc6fr9OH46pR4b1L1OSTwsqRu0/zs4E6yOuRWBLmvAwUWbnLLIunXrqFGjBsePHwdSBkfPmzePhQsXapyZEEIIuTSWA83efRnDf9pBLg629GtgQXde/b0Jdn2hCin2rui6BEPewtrklAUSEhIYOXIk8+bNM8XKli3L2rVrqVatmnaJCSGEMJFCKIe5ERnHxpPqsUHd6pSgQB5HjTJK5fZx2NhfFVLQYXhnAXbeVTRKyvwuXryIv78/p0+fNsUCAwOZP38+efPm1TAzIYQQ/yWXxnKY2bvU3SBne1vet5SxQdG3YE0XSE5Qhf8u0hml3FsaJZU1hg8fbiqCnJycWLx4MatWrZIiSAghLIx0hHKQ0MjHbEjVDepuKd2gxFhY3Rli76rCxmrduEJTymuUVlZZuHAh1apVo1ChQqxdu5bKlStrnZIQQoh0SEcoB5m9+1KablC/NyygG2Q0wIZ+cPesOu77Boa3vskRC6kaDOrJIIsWLcr27ds5evSoFEFCCGHBpBDKIW5GPWbDCXU36L3Xi+NpCd2g3yfAP1vUsQJlwH8F2Nprk5MZ/fjjj9SoUYPo6GhVvEaNGri6umqUlRBCiBchhVAOMWf3ZZL/0w1ysrfh/TdKa5jR/zv+Ixz8QR1zzg+Ba1P+a8Xi4uLo2bMnPXv25MyZM/Tr1w9FUZ6/oxBCCIshY4RygJtRj1l//JYq9l7tEhTMq3E36Ope+HWkOmZjDwGroIAFFGkv4ezZs/j7+3PhwgVTzN3dneTkZOztrb/LJYQQuYV0hHKAuXvU3SBHOxveb6jx2KD7l2FtNzAmq+NtZ0DJ+pqkZA6KorB48WJq1aplKoLy5MlDUFAQixYtkiJICCGsjHSErNytB49ZdyxVN+j1EhTK66RRRsDjKFjdCRLUY2ao9wFUf0+bnMzg0aNHDBgwgNWrV5tiVatWZe3atZQrV07DzIQQQmSWdISs3JzdV9J0g/pr2Q1KToKQbhB1VR2v0AaaTNQkJXM4deoUfn5+qiJo4MCBHD58WIogIYSwYtIRsmK3H8az/vhNVSywdnHtukGKAr+OgBt/qOOFq0D7hVa9kOq+ffu4dOkSAG5ubixatAh/f3+NsxJCCPGypBCyYnN3X0ZvUHeDBjbUcBDywVlwcpU6ltcbAkPAwbpvIx86dCi7d+/m5s2bhISEULq0dQ/2FkIIkUIKISt1+2E8a4+pu0FdahWnkJtG3aDzv8COCeqYnXPKavJuPtrk9BLCw8MpXPjfBWB1Oh0//vgjjo6OODpawNxMQgghzMJ6r1XkcvP2qLtBDnY2DGykUZci7HTKzNGkmkOn/ULwqa5JSpmlKAqzZs2iZMmSbN++XfWcm5ubFEFCCJHDSCFkhe48jGftUfWdYoG1iuOlRTco5k7KGmL6x+p404nwSrvsz+clPHjwgA4dOvDBBx+QmJjIe++9R1hYmNZpCSGEyEJyacwKzdtzhSSD0fTYwdaGAVqMDUqKgzWd4dEddbxaV6g3PPvzeQl//vknAQEB3LhxwxTr3r07BQoU0DArIYQQWU06QlYmLDqekKPqsUGdaxWjsHs2d4OMRtjYP+Wy2H+VqAdtZljNQqqKovDdd99Rv359UxHk4eHB5s2b+fbbb3FwcNA4QyGEEFlJOkJWZn463SBNxgbt+gLO/6yO5fcF/5VgZx3FQ2RkJD179uSXX34xxerWrUtwcDDFihXTMDMhhBDZRTpCViQ8OoE1R9TdoIDXiuHt7py9iZxaDX9MV8ec3FMWUnW1jktJx44do1q1aqoi6OOPP2bPnj1SBAkhRC4iHSErMn+vuhtkb6vL/m7Q9QOweZg6prMF/xVQ0HpmWM6XLx/R0SlLgHh6erJy5UreeustjbMSQgiR3aQjZCXuxiSw+kioKhbwWjF88mVjNyjyCoR0BaNeHW/9HZRqlH15mEGZMmVYtGgRb7zxBqdOnZIiSAghcikphKzEvD1XSEpO3Q0qk30JxD+A1QEp//2v1wdDzV7Zl0cmHTx4kMeP1bf4BwQEsHv3booUKaJRVkIIIbQmhZAViIhJYE2qblCnmsUokl3dIIMe1vWEyEvqeLm3oPkX2ZNDJhkMBiZPnkyDBg0YNmxYmudtrHj9MyGEEC9PPgWswPy9V0lM1Q0alF1jgxQFtoyGq3vUca/K0GEx2NhmTx6ZEB4eTosWLRg/fjxGo5ElS5bw22+/aZ2WEEIICyKFkIWLiEkg6M8bqlhHv2IUze+SPQkcngfHl6ljroWgSzA45s2eHDJh586dVKtWjZ07dwIpnZ/PP/+cpk2bapyZEEIISyJ3jVm4BfvU3SA7m2zsBv2zDX77RB2zc0pZSDWfZd5ibjAY+Pzzz/niiy9QlJS1z7y9vVmzZg0NGzbUODshhBCWRgohCxbxKG03qFPNohTzyIZuUPhf8L8+pFlI9Z15ULRm1h8/E+7cuUNgYCB79+41xVq0aMGKFSsoVKiQhpkJIYSwVFIIWbCFe6+SoE/dDcqGO8Ue3U1ZQywpVh1vPA4qt8/642fC5cuXqVu3Lvfu3QPA1taWyZMnM2bMGBkQLYQQ4qnkE8JC3XuUyKpU3aAONbKhG6SPh+BAiFbPYM2r/vDG6Kw99kvw9fWlatWqABQtWpQ9e/bw8ccfSxEkhBDimeRTwkIt2p+2GzS4cRZ3g4xG2DQQbh9Tx4vVhnY/WPRCqra2tqxatYoePXpw6tQp6tevr3VKQgghrIBcGrNA92MTWXHouirWvkYRihfI4m7Q3q/h743qWL7iEBAE9tm8uv1z/Prrr+TPn5+6deuaYl5eXixfvly7pIQQQlgd6QhZoEX71N0gWxsdQxqXzdqDnlkLe6eqY45uKQup5imYtcfOAL1ez4cffkibNm0ICAggMjJS65SEEEJYMSmELExkbCIrDqnHBrWvnsXdoNA/4afB6pjOBjotg0IVs+64GXT9+nUaNGjAd999B8CtW7dYvHixxlkJIYSwZlIIWZiF+68SrzeYHtva6BjyZhaODXpwPWVwtCFJHW/5DZSxnMkHN23aRPXq1fnzzz8BsLe3Z+bMmYwZM0bjzIQQQlgzGSNkQaLikliZqhv0TrUilCjgmjUHTIhOWUj18X11vNb7UKtf1hwzgxITE/noo4+YOXOmKVaqVClCQkKoWdMy5zMSQghhPaQQsiCL9l/lcZK6GzQ0q7pBhmRY3xvuXVDHSzeBFlOy5pgZdPXqVfz9/Tl+/Lgp1rFjRxYvXoy7u7uGmQkhhMgppBCyEFFxSfx48Loq9nY1H0p6ZlE36LdP4PLv6ljBCinjgmy1/7aIj4+nXr16hIeHA+Do6Mj333/PgAED0FnwbfxCCCGsi4wRshCLU3WDbHQw9M0sulPsyCI4skAdc/GEwBBwsoxOi7OzM1988QUAZcuW5fDhwwwcOFCKICGEEGal/Z/+ggfpdIPeqVYE36zoBl36HbamGmBs6wCdV0P+kuY/3kvo06cPer2e9957j7x5LXeleyGEENZL847Q3Llz8fX1xcnJCT8/P/bv3//UbTds2ECzZs0oWLAgbm5u1KlTh99++y0bs80ai/+4SlyqblCW3CkWcR7W9wLFqI6/PQeK1zb/8TIgODiY8ePHq2I6nY6BAwdKESSEECLLaFoIhYSEMHz4cMaNG8fJkydp0KABLVu2JDQ0NN3t9+3bR7NmzdiyZQvHjx+ncePGtG3blpMnT2Zz5ubz8HESPx5U3ynWrqoPpQrmMe+B4u7Dan9IjFHH3xgDVfzNe6wMiI+PZ86cOXTv3p3JkyezefNmzXIRQgiR+2haCE2fPp0+ffrQt29fKlasyIwZMyhWrBjz5s1Ld/sZM2YwZswYXnvtNcqWLctXX31F2bJl+fnnn7M5c/NZ8sc1YhOTTY9TukFmHhukT0iZK+hhqgKzUnto/Il5j5UB58+fp27duuzYscMU27lzp2b5CCGEyH00GyOUlJTE8ePH+fjjj1Xx5s2bc/DgwRd6DaPRyKNHj/Dw8HjqNomJiSQmJpoex8SkdET0ej16vT4TmZvPw8d6lh64poq1frUwJfI7mi83RcF282Bsbv6pCht9amBoPROSk5+yY9ZauXIlQ4cO5fHjxwC4uLgwa9Ysunfvrvl5ya2efN3l6689ORfmZzQa0ev1KIqSof2Sk5Oxs7MjNjYWOzsZVpuVdDod9vb22Nik36PJqp8Hzc7q/fv3MRgMeHl5qeJeXl6mW6af57vvviMuLg5//6df2pkyZQqTJk1KE9+9ezcuLlm8iOlzbAm1IS7x3xOuQ6Gy7hZbttwy2zHKhf9ExbD/qWKP7T3Y59GTxB27zXacF5WQkMDChQvZtWuXKVa8eHFGjx6Np6cnW7ZsyfachNp/O3RCW3IuzMPW1hZPT0/s7e0ztX/hwoW5evWqmbMS6dHr9dy7dw+j0ZjmuSd/OJub5uVt6tuhFUV5oVuk16xZw8SJE/npp58oVKjQU7cbO3YsI0eOND2OiYmhWLFiNG7cmAIFCmQ+8ZcUHa9n3Hf7gX87Mq1f9aZ3xypmO4bu3CbsTqqLIMXBFfvuG2niVclsx3lRf/31F4GBgVy48O8kjj179qRly5a0adMm07+khHno9Xp27NhBs2bN5FxoTM6F+SiKwu3bt0lOTsbb2/up3YZn7R8XF4erq6tM35HFjEYjYWFheHl5UaRIkTRf76xaZFuzQsjT0xNbW9s03Z+IiIg0XaLUQkJC6NOnD+vWraNp02evh+Xo6Iijo2OauL29vaa/YFbsUY8N0ulgeLNy5svp1nH4eYg6prNB12Ep9kWrmecYGTR69GhTEZQnTx4WLFhAp06d2LJli+bnQ/xLzoXlkHPx8vR6PQkJCfj4+JAnT8ZvQnlySc3Z2TnDRZTIuEKFCnHnzh3TZbL/yqqfBc3OqoODA35+fmlavzt27KBu3bpP3W/NmjX07NmT1atX07p166xOM0tEx+tZlmZskDdlCpnpNvGHN2FNZ0hOUMebfwnl3zLPMTJh6dKl5M+fn6pVq3L8+HECAwM1y0UIkTsYDClTkzg4OGiciXgRT87Tk/OWHTS9NDZy5Ei6detGzZo1qVOnDgsXLiQ0NJQBAwYAKZe1bt++zYoVK4CUIqh79+7MnDmT119/3dRNcnZ2tqq1p5YduMajBHU3aFgTM90plvgopQiKi1DH/XrB6wPNc4wX9GSQ4RPFixdn586dVKxYEScnp2zNRQiRu8llLeugxXnStM8XEBDAjBkz+Pzzz6lWrRr79u1jy5YtlChRAoCwsDDVnEILFiwgOTmZwYMH4+3tbfr3wQcfaPUWMiw6Xs+SP9TdoFavelPOywzdIKMB/tcX7v6ljvs2hFbTUiqubKAoCvPnz6dGjRo8evRI9Vz16tWlCBJCCGExNB8sPWjQIAYNGpTuc8uXL1c93rNnT9YnlMWWH7iu6gYBDDPXvEE7PoOL29SxAmXB/0ewzZ5xBtHR0bz//vusXbsWgP79+xMUFCR/jQkhRBbQ6XRs3LiRd955R+tUrJaM/MpGMQl6lvyhvgWz9avelC9shm7QsWVwaLY65uwBXdeCc/6Xf/0XcPz4cfz8/ExFEKQMis/Oa71CCJFThIeHM3ToUEqVKoWjoyPFihWjbdu2FjPxrKIoTJw4ER8fH5ydnWnUqBF///231mllmOYdodxk+YHrxKTqBg1tYoY1xa7ugS0fqmM29hCwCjxKvfzrP4eiKMyePZsPP/yQpKQkANzd3Vm6dCnt27fP8uMLIcSLMBoVHjxOyuA+Rh491qO3STTLXWP5XRywsXl+h/z69evUq1ePfPny8c0331ClShX0ej2//fYbgwcPVk1DopVvvvmG6dOns3z5csqVK8fkyZNp1qwZ//zzj1WtESmFUDZ5lJB2bFDLyoWpUNjt5V743kUI6Q7GVDNEt50JJeu93Gu/gAcPHtCnTx82btxoitWqVYvg4GB8fX2z/PhCCPGiHjxOwm/y75rmcPzTphTIk3ZKl9QGDRqETqfjyJEjuLq6muKVKlWid+/eT93vo48+YuPGjdy6dYvChQvTtWtXPvvsM9Ot56dPn2b48OEcO3YMnU5H2bJlWbBgATVr1uTGjRsMGTKEP/74g6SkJEqWLMm0adNo1apVmuMoisKMGTMYN26c6Q/eH3/8ES8vL1avXk3//v0z+qXRjBRC2eTHg9eJjldPD/7Sd4o9jvr/hVSj1fH6I6B615d77Rfw559/0rlzZ65fv26KjRo1iq+++kpuVRVCiEyKiopi27ZtfPnll6oi6Il8+fI9dd+8efOyfPlyfHx8OHv2LP369SNv3ryMGTMGgK5du1K9enXmzZuHra0tp06dMhVJgwcPJikpiX379uHq6sq5c+eeOvfStWvXCA8Pp3nz5qaYo6MjDRs25ODBg1IICbVHCXoW7Vd3g96qVJiK3i/RDUpOgpD34IH6danYFt78LPOvmwEHDhwwFUEeHh4sX76ctm3bZsuxhRAip7p8+TKKolChQoUM7/vpp5+a/r9kyZKMGjWKkJAQUyEUGhrK6NGjTa9dtuy/f5CHhobSoUMHXn31VQBKlXr60Ion09ekt0zWjRs3Mpy3lqQQygYrDt0wbzdIUeCX4XDjgDruXQ3eXQDZNPvpiBEj2L17N1FRUaxZs4bixYtny3GFECIne7IwbGbutl2/fj0zZszg8uXLxMbGkpycjJvbv390jxw5kr59+7Jy5UqaNm1Kp06dKF26NADDhg1j4MCBbN++naZNm9KhQweqVHn2sk+ZXSbLkkghlMViE5NZtF99p1iLSl684vMS3aADM+BUkDqW1we6BIND2jaqudy+fZsiRYqYHut0OoKCgnB2dpZlAIQQFi+/iwPHP332skypGY1GHsXGkjdPHrMNln6esmXLotPpOH/+fIZuiz98+DCdO3dm0qRJtGjRAnd3d4KDg/nuu+9M20ycOJHAwEB+/fVXtm7dyoQJEwgODubdd9+lb9++tGjRgl9//ZXt27czZcoUvvvuO4YOHZrmWIULFwZSOkPe3t6m+Issk2Vp5Pb5LPbjwes8fGzGbtC5zfD7RHXM3gW6rAE373R3eVlGo5GpU6dSqlSpNLdturm5SREkhLAKNjY6CuRxzPA/Dxf7TO2X3r8XuWPMw8ODFi1aMGfOHOLi4tI8//Dhw3T3O3DgACVKlGDcuHHUrFmTsmXLpnuZqly5cowYMYLt27fTvn17li1bZnquWLFiDBgwgA0bNjBq1CgWLVqU7rF8fX0pXLiwapmspKQk9u7d+8xlsiyRFEJZKC4xmcWpukHNXvGikk8mlwO5cxI2vJ8qqIP2i8CnWuZe8znu3btHmzZt+Pjjj0lKSqJr165EREQ8f0chhBCZNnfuXAwGA7Vq1eJ///sfly5d4vz588yaNYs6deqku0+ZMmUIDQ0lODiYK1euMGvWLNUdvfHx8QwZMoQ9e/Zw48YNDhw4wNGjR6lYsSIAw4cP57fffuPatWucOHGCXbt2mZ5LTafTMXz4cL766is2btzIX3/9Rc+ePXFxcbG6dSTl0lgWWnHoBg9SdYM+yGw3KOYOrOkCyfHqeLNJULFNJjN8tn379tGlSxfu3LkDpHzj9+vXDw8Pjyw5nhBCiBS+vr6cOHGCL7/8klGjRhEWFkbBggXx8/Nj3rx56e7z9ttvM2LECIYMGUJiYiKtW7dm/PjxTJw4EQBbW1siIyPp3r07d+/exdPTk/bt2zNp0iQgZaHTwYMHc+vWLdzc3Hjrrbf4/vvvn5rjmDFjiI+PZ9CgQTx48IDatWuzfft2q5pDCECnPBmVlUvExMTg7u7O/fv3KVCgQJYdJy4xmfpTd6kKoaYVvVjco2bGXywpDpa+BeFn1PHq70G72WZfQ8xgMDBlyhQmTJiA0WgEoFChQgQFBdG0acaurz+PXq9ny5YttGrVSi6xaUzOheWQc2E+CQkJXLt2DV9f30ytc2g0GomJicHNzc0sY4TEsz3rfEVGRuLp6Ul0dLRqAPjLko5QFll52EzdIKMx5XJY6iKoRH1o/b3Zi6C7d+/y3nvv8fvv/0469uabb7Jq1SrVgDghhBAiJ5DyNgs8Tkpm0T712KCmFQvxatFMjA3aOQku/KKOeZSCgJVgZ95JCw8ePEjVqlVNRZCNjQ2TJk1i+/btUgQJIYTIkaQjlAVWHb5BZJx6PZsPmpTL+AudXJVyq/x/OblD4FpwMf84nQIFChAbGwuAt7c3q1evplGjRmY/jhBCCGEppCNkZo+TklmwV90NerNCJrpB1/+An4erYzZ24L8SPF9yaY6nKF++PAsWLKBFixacOnVKiiAhhBA5nhRCZhZ0ODSdblAGC5fIKynLZxjVY4xoPR1KNXzJDP+1d+9e4uPVd6F17dqVrVu3UqhQIbMdRwghhLBUUgiZUXySgQX7rqhijcsXpGqxfBl4kQcpC6nGP1DH6wwBvx4vnySQnJzMJ598QqNGjRg+fHia561tenQhhBAis6QQMqOgP29wPzZVN6hpBsYGGfSwtjtEXlbHy7eCZp+bIUO4desWjRs3ZsqUKQAsXLiQXbt2meW1hRBCCGsjhZCZxCcZmJ9qbFCj8gWp9qLdIEWBLR/CtX3quNerKTNH29i+dI6//vor1apV448//gDAzs6OadOmyVggIYQQuZYUQmay+kgo92MTVbEMjQ06NAeOL1fH8nhBYDA45nmp3PR6PaNHj6ZNmzZERkYCULx4cfbt28eHH34ok4QJIYSV0ul0bNq0Ses0rJp8AppBgt7A/L3qsUFvlCtI9eL5X+wF/tkK2z9Vx+ycUhZSdS/6UrnduHGDN954g2+//dYUe/vttzl58uRT16sRQgihvfDwcIYOHUqpUqVwdHSkWLFitG3bNs3i11rZsGEDLVq0wNPTE51Ox6lTp7ROKVNkHiEzWP1nKPceZbIbFH4W1vcBUq108u58KOL3UnmdO3eOevXqmVYqtre3Z9q0aQwbNkwGRAshhAW7fv069erVI1++fHzzzTdUqVIFvV7Pb7/9xuDBg7lw4YLWKRIXF0e9evXo1KkT/fr10zqdTJNC6CWl1w1qUNYTvxIv0A16FA6rO4M+Th1/81Oo9O5L51a+fHmqV6/O7t278fX1JSQkhNdee+2lX1cIIayS0QjxURneR/f4EdgmgTmGETh7vNDrDBo0CJ1Ox5EjR3B1dTXFK1WqRO/evZ+630cffcTGjRu5desWhQsXpmvXrnz22WemNetOnz7N8OHDOXbsGDqdjrJly7JgwQJq1qzJjRs3GDJkCH/88QdJSUmULFmSadOm0apVq3SP1a1bNyClaLNmUgi9pDVHQolI1Q0a3vQFukFJj1NWk4+5pY5X6QwNPjRLbra2tgQFBTFhwgS++eYb8uXLZ5bXFUIIqxQfBdNKZ2gXGyATiyM93egr4Or5zE2ioqLYtm0bX375paoIeuJZv8vz5s3L8uXL8fHx4ezZs/Tr14+8efMyZswYIGWuuOrVqzNv3jxsbW05deqUqUgaPHgwSUlJ7Nu3D1dXV86dO0eePC83RtUaSCH0Ep7eDXrO8hdGI2waAHdOqOPFXod2szK9kOr//vc/ihQpwuuvv26KeXt7s3Dhwky9nhBCiOx3+fJlFEWhQoUKGd7300//HW9asmRJRo0aRUhIiKkQCg0NZfTo0abXLlv23z/cQ0ND6dChA6+++ioApUqVepm3YTVksPRLCDl6k7sxmRgbtOcrOPeTOpavBHQOAjvHDOeRkJDAkCFD6NixIwEBAURFZbD1K4QQwmIoSsqY0cyM5Vy/fj3169encOHC5MmTh/HjxxMaGmp6fuTIkfTt25emTZvy9ddfc+XKv3/MDxs2jMmTJ1OvXj0mTJjAmTNnXv7NWAEphDIpQW9g7h71xIf1yhSgZsnndINOh8C+aeqYo1vKQqrPaZem59KlS9StW5c5c+YAKRX9ihUrMvw6QgghLEPZsmXR6XScP38+Q/sdPnyYzp0707JlS3755RdOnjzJuHHjSEr6d6LfiRMn8vfff9O6dWt27drFK6+8wsaNGwHo27cvV69epVu3bpw9e5aaNWvyww8/mPW9WSK5NJZJa4+l1w16zizSoYdh8xB1TGcLnZZDoYy3QIODg+nXr59pxXgnJydmzZpF3759M/xaQgiR4zl7pIzRyQCj0cijR4/ImzeveeZcc37OH8uAh4cHLVq0YM6cOQwbNizNOKGHDx+mO07owIEDlChRgnHjxpliN27cSLNduXLlKFeuHCNGjKBLly4sW7aMd99NuUGnWLFiDBgwgAEDBjB27FgWLVrE0KFDM/gmrYsUQpmQmGxg7m71D1Pd0gWo5fuMb/CoaxAcCAb1Ehy0+gbKNMnQ8ePj4xk+fLhq7E/58uVZu3YtVapUydBrCSFErmFjk/HOu9GIYnAAVzfz3DX2gubOnUvdunWpVasWn3/+OVWqVCE5OZkdO3Ywb968dLtFZcqUITQ0lODgYF577TV+/fVXU7cHUj47Ro8eTceOHfH19eXWrVscPXqUDh06ADB8+HBatmxJuXLlePDgAbt27aJixYpPzTEqKorQ0FDu3LkDwD///ANA4cKFKVy4sDm/HFlKLo1lwtqjNwmPSVDFnjk2KCEaVgfA40h1vPYAeC1j3ZsLFy5Qu3ZtVRHUrVs3jh07JkWQEELkEL6+vpw4cYLGjRszatQoKleuTLNmzdi5cyfz5s1Ld5+3336bESNGMGTIEKpVq8bBgwcZP3686XlbW1siIyPp3r075cqVw9/fn5YtWzJp0iQADAYDgwcPpmLFirz11luUL1+euXPnPjXHzZs3U716dVq3bg1A586dqV69OvPnzzfjVyLr6ZQno7JyiZiYGNzd3bl//z4FChTI8P6JyQYaTdtDWPS/hVCdUgVY8/7r6e9gSIbVneBKqoVNyzSDLsFg++JNudjYWEqWLGlaJsPZ2Zk5c+bQs2dPq50gUa/Xs2XLFlq1amW6hVNoQ86F5ZBzYT4JCQlcu3YNX19fnJycMry/0WgkJiYGNzc3WY4oGzzrfEVGRuLp6Ul0dDRubm5mO6ac1Qxad+yWqggC+OBZ8wZt+zhtEVToFei4NENFEECePHmYPHkykDKp1rFjx+jVq5fVFkFCCCGE1mSMUAakjA1S3ylW29eD10s9pbP050I4ukgdcy2Y0glyylw1279/f2xsbHjvvfdwcXHJ1GsIIYQQIoV0hDJg/fFb3EnVDRre9Cl3il3aAds+UsdsHaHzashf4rnHUhSFpUuXqq7vQsq8Eu+//74UQUIIIYQZSEfoBSUlG9PcKVbL14M6pdPpBt09B+t6gWJUx9+ZC8VqPfdYsbGxDBw4kFWrVgHw+uuvmwajCSGEEMJ8pCP0gtYfv8Xth/Gq2PD07hSLvZdyh1jSI3W84cfwasfnHufMmTP4+fmZiiCA/fv3ZypnIYQQQjybFEIvICnZyJxUY4NqlUynG6RPSJkrKDpUHa/cERp9/MxjKIrCggULqFWrFhcvXgRSFs9bs2YNX3/99Uu/ByGEEEKkJZfGXsCGE2m7QR80Lau+W0tR4KfBcOuIeueir8Hbc565kGpMTAzvv/8+ISEhpliNGjUICQmhTJkyZnkPQgghhEhLOkLPoTcYmZ2qG1SzRH7qpu4G7f0G/lqvjrkXSxkcbf/0uStOnDhhKnqeGDJkCAcPHpQiSAghhMhi0hF6jg0nbnHrQaqxQU3LqbtBZ9enrCj/Xw55IDAE8hR66msrisKIESNMq/+6u7uzZMkS03TnQgghhMha0hF6hvS6QX4l8lOvzH+6QTePwqZB6h11NtBxGXhVeubr63Q6fvzxR/Lly8drr73GyZMnpQgSQghhEUqWLMmMGTNMj3U6HZs2bdIsn6wihdAzbDxxm5tRqcYGNfnP2KCHoRDcBQzqVehpMQXKNU/3NfV6vepxyZIl2b17N3/88Qe+vr5my10IIYT1erJ00pN/BQoU4K233uLMmTOa5RQWFkbLli01O35WkULoKdLrBtUono8GZf9/5eKEGFjdGeLuqXes2Qdq90/zeoqiMGPGDPz8/IiNjVU9V61aNRwcHMyavxBCCOv21ltvERYWRlhYGDt37sTOzo42bdpolk/hwoVxdHTU7PhZRQqhp9h08jahUY9VsQ+ejA0yGuB/fSDib/VOpRpDy6lp7hCLiorinXfeYcSIEZw9e5aBAweSy9a6FUIIkUGOjo4ULlyYwoULU61aNT766CNu3rzJvXspf4B/9NFHlCtXDhcXF0qVKsX48eNVVx1Onz5N48aNyZs3L25ubvj5+XHs2DHT8wcPHuSNN97A2dmZYsWKMWzYMOLi4p6az38vjV2/fh2dTseGDRto3LgxLi4uVK1alUOHDqn2yegxtCCFUDqS0+kGVSuWjzeedIO2fwqXtqt38iwPnZaDrXql6EOHDlGtWjU2b95sivn4+EghJIQQ4oXFxsYSFBREmTJlKFAgZZxq3rx5Wb58OefOnWPmzJksWrSI77//3rRP165dKVq0KEePHuX48eN8/PHH2NunfEadPXuWFi1a0L59e86cOUNISAh//PEHQ4YMyVBe48aN48MPP+TUqVOUK1eOLl26kJycbNZjZDW5aywdm07d4Uakuhs0/Mm8QUeXwOG56h2cPVLuEHPOZwoZjUa+/fZbPvnkEwwGAwAFChRgxYoVtGrVKqvfghBCiGeYPn0606dPf+521atXZ+XKlapYu3btOHHixHP3HTlyJCNHjsx0jr/88gt58uQBIC4uDm9vb3755RdsbFJ6GJ9++qlp25IlSzJq1ChCQkIYM2YMAKGhoYwePZoKFSoAULbsv6shTJs2jcDAQIYPH256btasWTRs2JB58+bh5PT0aV/+68MPPzQtATVp0iQqVarE5cuXqVChgtmOkdWkEEol2WBk9q5LqljVYvloWK4gXNkFW0ard7B1SJkryOPfgc737t2jR48ebN261RSrX78+a9asoWjRolmavxBCiOeLiYnh9u3bz92uWLFiaWL37t17oX1jYmIyldsTjRs3Zt68eUDKEIu5c+fSsmVLjhw5QokSJVi/fj0zZszg8uXLxMbGkpycjJubm2n/kSNH0rdvX1auXEnTpk3p1KkTpUuXBuD48eNcvnyZoKAg0/aKomA0Grl27RoVK1Z8oRyrVKli+n9vb28AIiIiqFChgtmOkdWkEErlp1N3uJ66G9SkLLr7F2FtT1AM6h3azoISdUwP9+/fT+fOnblz5w6Qck31k08+YeLEidjZyZdbCCEsgZubG0WKFHnudp6enmliBQsWfKF9/1uUZIarq6tqYl0/Pz/c3d1ZtGgRbdq0oXPnzkyaNIkWLVrg7u5OcHAw3333nWn7iRMnEhgYyK+//srWrVuZMGECwcHBvPvuuxiNRvr378+wYcPSHLd48eIvnOOTS22A6Y5qo9Fo+q85jpHV5JP5P9IbG1S1qDuNitnAYn9IjFbv0GAUVOuiCh0+fNhUBBUqVIhVq1bRrFmzLM1bCCFExrzoZSuj0Zims/PfMZ/ZSafTYWNjQ3x8PAcOHKBEiRKMGzfO9PyNGzfS7FOuXDnKlSvHiBEj6NKlC8uWLePdd9+lRo0a/P3331m6gkF2HMMcZLD0f/x85g7X7qtHsw9vXAJdSDd4cF298StvQ+NPSW3UqFG0bNmSxo0bc+rUKSmChBBCZEpiYiLh4eGEh4dz/vx5hg4dSmxsLG3btqVMmTKEhoYSHBzMlStXmDVrFhs3bjTtGx8fz5AhQ9izZw83btzgwIEDHD161HQ56qOPPuLQoUMMHjyYU6dOcenSJTZv3szQoUPNln92HMMcpCP0/wxGhR92qrtBVYq40ejilxB6UL2xT3V4Zz7Y2HDz5k3VNWQbGxuCg4NxdXXF1tY2O1IXQgiRA23bts007iZv3rxUqFCBdevW0ahRIwBGjBjBkCFDSExMpHXr1owfP56JEycCYGtrS2RkJN27d+fu3bt4enrSvn17Jk2aBKSM7dm7dy/jxo2jQYMGKIpC6dKlCQgIMFv+2XEMc9Apuew+7piYGNzd3bl//77pFkRImTdoeMgp1ba/v3aMMmdT3VXgVgT67cLgUpDJkyfz5Zdfsn37dtM3psgYvV7Pli1baNWqlepas8h+ci4sh5wL80lISODatWv4+vpm6i6lJ5fG3NzcTHdriazzrPMVGRmJp6cn0dHRLz3+6r+kI0RKN2hWqjvF+nv+lbYIsneFLsGExSp0fbsZu3fvBiAwMJCzZ8+qCishhBBCWD4phIBfztzh6r1/xwa9qrvKmPjU80vooMNidvx1l/fea0ZERASQcilsyJAh5M+fPxszFkIIIYQ55PpCyGBUmLXz325QYSJZ7jQdW0OCarvkNycycdVBvvrqK9Os0EWKFGHNmjU0aNAgO1MWQgghhJnk+kLo17NhXPn/bpALCSxx+JYCSpRqm1vF2xP46Qb2799virVs2ZIVK1akO8eEEEIIIaxDri6E/tsNssHITPs5VLJRz8OwJ+EVOo75mcjISCBlJP6UKVMYNWqUDJwTQgghrFyu/iTfcjaMyxGxAIyxC6aZ7XH1Bh6l8fKfTnx8PJAyE+b+/fsZPXq0FEFCCGFFctkN0lZLi/OUaz/Njf/pBvnb7maA3S/qDZzyQdd1VKxRh3nz5tGuXTtOnjxJnTp10r6YEEIIi/RkPrekpCSNMxEv4sl5ys55+HLtpbHfz0dwKSKW123O8aXdUlN8x5VkGpR0xClgFRRIWZyue/fudOvWzbSOihBCCOtgZ2eHi4sL9+7dw97ePsPdfKPRSFJSEgkJCXIlIIsZjUbu3buHi4tLtq7NmWsLoYV/XMNXF8Z8+++x1xlIMih8tCORGX8mMahTHeb4qu8EkyJICCGsj06nw9vbm2vXrqW7FtfzKIpCfHw8zs7O8jmQDWxsbChevHi2fq1zbSF0714Em/NOI58ujmsPjASsf8zROykr5s5dt5Muf/xB/fr1Nc5SCCHEy3JwcKBs2bKZujym1+vZt28fb7zxhszynQ0cHByyvfOmeSE0d+5cpk2bRlhYGJUqVWLGjBnPnJdn7969jBw5kr///hsfHx/GjBnDgAEDMnzc7+3nUsomnP+d09NnczzRiSlxBwcHpk+fTr169TL7loQQQlgYGxubTC2xYWtrS3JyMk5OTlII5VCaXvAMCQlh+PDhjBs3jpMnT9KgQQNatmxJaGhouttfu3aNVq1a0aBBA06ePMknn3zCsGHD+N///pfhY1dVLjBkSzwd1/1bBJUuVcq0Uq60QIUQQoicT9NCaPr06fTp04e+fftSsWJFZsyYQbFixZg3b16628+fP5/ixYszY8YMKlasSN++fenduzfffvttho/dbEUcc47qTY8D2rfjxMmT1KhRI9PvRwghhBDWRbNCKCkpiePHj9O8eXNVvHnz5hw8eDDdfQ4dOpRm+xYtWnDs2DH0en26+zzNmYiUuQoc7WDB1+NYs36TWVezFUIIIYTl02yM0P379zEYDHh5eaniXl5ehIeHp7tPeHh4utsnJydz//59vL290+yTmJhIYmKi6XF0dLTp/0vn17Hk+y+o3GYAUVFRafYVWU+v1/P48WMiIyPl+rvG5FxYDjkXlkPOheV48jlt7kkXNR8snXosjqIozxyfk9726cWfmDJlCpMmTUr3uSsPFBr1/BT4NAMZCyGEEEIrkZGRuLu7m+31NCuEPD09sbW1TdP9iYiISNP1eaJw4cLpbm9nZ0eBAgXS3Wfs2LGMHDnS9Pjhw4eUKFGC0NBQs34hRebExMRQrFgxbt68KZcmNSbnwnLIubAcci4sR3R0NMWLF8fDw8Osr6tZIeTg4ICfnx87duzg3XffNcV37NjB22+/ne4+derU4eeff1bFtm/fTs2aNZ/asnR0dMTR0TFN3N3dXb6pLYibm5ucDwsh58JyyLmwHHIuLIe55xnS9K6xkSNHsnjxYpYuXcr58+cZMWIEoaGhpnmBxo4dS/fu3U3bDxgwgBs3bjBy5EjOnz/P0qVLWbJkCR9++KFWb0EIIYQQVkzTMUIBAQFERkby+eefExYWRuXKldmyZQslSpQAICwsTDWnkK+vL1u2bGHEiBHMmTMHHx8fZs2aRYcOHbR6C0IIIYSwYpoPlh40aBCDBg1K97nly5eniTVs2JATJ05k+niOjo5MmDAh3ctlIvvJ+bAcci4sh5wLyyHnwnJk1bnQKea+D00IIYQQwkpoOkZICCGEEEJLUggJIYQQIteSQkgIIYQQuZYUQkIIIYTItXJkITR37lx8fX1xcnLCz8+P/fv3P3P7vXv34ufnh5OTE6VKlWL+/PnZlGnOl5FzsWHDBpo1a0bBggVxc3OjTp06/Pbbb9mYbc6X0Z+NJw4cOICdnR3VqlXL2gRzkYyei8TERMaNG0eJEiVwdHSkdOnSLF26NJuyzdkyei6CgoKoWrUqLi4ueHt706tXLyIjI7Mp25xr3759tG3bFh8fH3Q6HZs2bXruPmb5/FZymODgYMXe3l5ZtGiRcu7cOeWDDz5QXF1dlRs3bqS7/dWrVxUXFxflgw8+UM6dO6csWrRIsbe3V9avX5/Nmec8GT0XH3zwgTJ16lTlyJEjysWLF5WxY8cq9vb2yokTJ7I585wpo+fjiYcPHyqlSpVSmjdvrlStWjV7ks3hMnMu2rVrp9SuXVvZsWOHcu3aNeXPP/9UDhw4kI1Z50wZPRf79+9XbGxslJkzZypXr15V9u/fr1SqVEl55513sjnznGfLli3KuHHjlP/9738KoGzcuPGZ25vr8zvHFUK1atVSBgwYoIpVqFBB+fjjj9PdfsyYMUqFChVUsf79+yuvv/56luWYW2T0XKTnlVdeUSZNmmTu1HKlzJ6PgIAA5dNPP1UmTJgghZCZZPRcbN26VXF3d1ciIyOzI71cJaPnYtq0aUqpUqVUsVmzZilFixbNshxzoxcphMz1+Z2jLo0lJSVx/Phxmjdvroo3b96cgwcPprvPoUOH0mzfokULjh07hl6vz7Jcc7rMnIvUjEYjjx49MvsCe7lRZs/HsmXLuHLlChMmTMjqFHONzJyLzZs3U7NmTb755huKFClCuXLl+PDDD4mPj8+OlHOszJyLunXrcuvWLbZs2YKiKNy9e5f169fTunXr7EhZ/Ie5Pr81n1nanO7fv4/BYEizer2Xl1eaVeufCA8PT3f75ORk7t+/j7e3d5blm5Nl5lyk9t133xEXF4e/v39WpJirZOZ8XLp0iY8//pj9+/djZ5ejflVoKjPn4urVq/zxxx84OTmxceNG7t+/z6BBg4iKipJxQi8hM+eibt26BAUFERAQQEJCAsnJybRr144ffvghO1IW/2Guz+8c1RF6QqfTqR4ripIm9rzt04uLjMvouXhizZo1TJw4kZCQEAoVKpRV6eU6L3o+DAYDgYGBTJo0iXLlymVXerlKRn42jEYjOp2OoKAgatWqRatWrZg+fTrLly+XrpAZZORcnDt3jmHDhvHZZ59x/Phxtm3bxrVr10yLhYvsZY7P7xz1Z56npye2trZpKvmIiIg0VeMThQsXTnd7Ozs7ChQokGW55nSZORdPhISE0KdPH9atW0fTpk2zMs1cI6Pn49GjRxw7doyTJ08yZMgQIOXDWFEU7Ozs2L59O2+++Wa25J7TZOZnw9vbmyJFiuDu7m6KVaxYEUVRuHXrFmXLls3SnHOqzJyLKVOmUK9ePUaPHg1AlSpVcHV1pUGDBkyePFmuImQjc31+56iOkMP/tXf3QVFVbxzAv7u4LPsiQViCgGyAblBQvIhDToGJsZnTMg6yo6tAwohTOoAYxkz4B0wRJuDAEI0NA2QSL445RpSuxcuCIxSsk8IqL4IkUU45CkIgL+f3h8PNTULwpxK7z2dmZzjn3nPuc/bMcp+599xdc3P4+PhAo9EY1Gs0Grz00ktTtvH3979n/1OnTsHX1xcCgeCRxWrsHmQugDtXgiIjI1FcXEz33B+i2c6HpaUlzp8/j3PnznGvHTt2QC6X49y5c1i5cuXjCt3oPMhnY9WqVfj1119x69Ytrq6trQ18Ph8ODg6PNF5j9iBzMTQ0BD7f8NRpZmYG4O+rEeTxeGjn71ktrZ4HJh+FzM/PZ62trSwuLo5JJBLW3d3NGGPsvffeY1u3buX2n3z8Lj4+nrW2trL8/Hx6fP4hme1cFBcXswULFrDc3FzW19fHvW7cuDFXQzAqs52Pf6Knxh6e2c7FwMAAc3BwYKGhoaylpYXV1NSwZcuWsejo6LkagtGY7VwUFBSwBQsWsE8++YR1dnayuro65uvry/z8/OZqCEZjYGCA6XQ6ptPpGACWmZnJdDod91UGj+r8bXSJEGOM5ebmMicnJ2Zubs68vb1ZTU0Nty0iIoIFBAQY7F9dXc28vLyYubk5k8lkLC8v7zFHbLxmMxcBAQEMwD2viIiIxx+4kZrtZ+NulAg9XLOdC71ez4KCgphIJGIODg5s9+7dbGho6DFHbZxmOxfZ2dnM3d2diUQiZmdnx9RqNbt69epjjtr4VFVVTXsOeFTnbx5jdC2PEEIIIabJqNYIEUIIIYTMBiVChBBCCDFZlAgRQgghxGRRIkQIIYQQk0WJECGEEEJMFiVChBBCCDFZlAgRQgghxGRRIkQIIVM4dOgQHB0dwefzcfDgwbkOZ1Z4PB6OHz8+12EQMi9QIkTIPBEZGQkejwcejweBQABnZ2fs2bMHg4ODcx3afclksnmVTPT392Pnzp3Yu3cvent7sX379rkOiRDyiBjVr88TYuwUCgUKCgowOjoKrVaL6OhoDA4OIi8vb9Z9McYwPj6OBQvo38A/9fT0YHR0FG+88Qb9mjghRo6uCBEyjwiFQtja2sLR0RGbN2+GWq3mboEwxrB//344OztDJBLhhRdewNGjR7m21dXV4PF4OHnyJHx9fSEUCqHVajExMYH09HS4urpCKBRi6dKl+OCDD7h2vb29UKlUsLa2ho2NDZRKJbq7u7ntkZGRCAkJwYEDB2BnZwcbGxu88847GB0dBQAEBgbiypUriI+P565oAcCff/6JTZs2wcHBAWKxGB4eHvjyyy8NxjswMAC1Wg2JRAI7OztkZWUhMDAQcXFx3D63b99GYmIi7O3tIZFIsHLlSlRXV0/7Pvb09ECpVEIqlcLS0hJhYWH4/fffAQCFhYXw8PAAADg7O4PH4xmM9+7j7ty5E3Z2drCwsIBMJkNaWhq3PTMzEx4eHpBIJHB0dMTbb79t8OvxhYWFsLKyQkVFBeRyOcRiMUJDQzE4OIiioiLIZDJYW1tj165dGB8f59rJZDKkpqZi8+bNkEqlWLJkCXJycqYd7/3mkBBTRokQIfOYSCTiEo73338fBQUFyMvLQ0tLC+Lj47FlyxbU1NQYtElMTERaWhr0ej08PT2RlJSE9PR0JCcno7W1FcXFxVi8eDEAYGhoCKtXr4ZUKkVtbS3q6uoglUqhUChw+/Ztrs+qqip0dnaiqqoKRUVFKCwsRGFhIQDg2LFjcHBwQEpKCvr6+tDX1wcAGB4eho+PDyoqKnDhwgVs374dW7duRUNDA9fv7t27UV9fjxMnTkCj0UCr1aK5udlgPG+99Rbq6+tRUlKCn3/+GRs3boRCoUB7e/uU7xljDCEhIbh+/Tpqamqg0WjQ2dkJlUoFAFCpVDh9+jQAoLGxEX19fXB0dLynn+zsbJw4cQJlZWW4dOkSvvjiC8hkMm47n89HdnY2Lly4gKKiIvzwww9ITEw06GNoaAjZ2dkoKSnBd999h+rqamzYsAGVlZWorKzE4cOHcejQIYOEFgA+/vhjeHp6orm5GUlJSYiPj4dGo5lyvDOdQ0JM1v/3W7GEkMclIiKCKZVKrtzQ0MBsbGxYWFgYu3XrFrOwsGBnzpwxaBMVFcU2bdrEGPv7l52PHz/Obe/v72dCoZB99tlnUx4zPz+fyeVyNjExwdWNjIwwkUjETp48ycXl5OTExsbGuH02btzIVCoVV3ZycmJZWVn3HeO6detYQkICF5tAIGDl5eXc9hs3bjCxWMxiY2MZY4x1dHQwHo/Hent7DfpZs2YNS0pKmvIYp06dYmZmZqynp4era2lpYQBYY2MjY4wxnU7HALCurq5/jXXXrl3s1VdfNXhvplNWVsZsbGy4ckFBAQPAOjo6uLqYmBgmFovZwMAAVxccHMxiYmK4spOTE1MoFAZ9q1Qq9vrrr3NlAOyrr75ijM1sDgkxZbQ4gJB5pKKiAlKpFGNjYxgdHYVSqUROTg5aW1sxPDyMtWvXGux/+/ZteHl5GdT5+vpyf+v1eoyMjGDNmjVTHq+pqQkdHR1YuHChQf3w8DA6Ozu58nPPPQczMzOubGdnh/Pnz087lvHxcXz00UcoLS1Fb28vRkZGMDIyAolEAgC4fPkyRkdH4efnx7V54oknIJfLuXJzczMYY1i+fLlB3yMjI7CxsZnyuHq9Ho6OjgZXedzd3WFlZQW9Xo8VK1ZMG/ekyMhIrF27FnK5HAqFAuvXr8drr73Gba+qqsKHH36I1tZW9Pf3Y2xsDMPDwxgcHOTGKBaL4eLiwrVZvHgxZDIZpFKpQd21a9cMju3v739P+d8Wo890DgkxVZQIETKPrF69Gnl5eRAIBFiyZAkEAgEAoKurCwDwzTffwN7e3qCNUCg0KE+ehIE7t9amMzExAR8fHxw5cuSebU899RT392Qck3g8HiYmJqbtOyMjA1lZWTh48CC3liYuLo67XcMY4/q622T9ZHxmZmZoamoySMQAGCQT/2z/zz6nq/833t7e6OrqwrfffovTp08jLCwMQUFBOHr0KK5cuYJ169Zhx44dSE1NxZNPPom6ujpERUVxtzKBqd+3B3kvJ/ebykznkBBTRYkQIfOIRCKBq6vrPfXu7u4QCoXo6elBQEDAjPtbtmwZRCIRvv/+e0RHR9+z3dvbG6WlpXj66adhaWn5wHGbm5sbLPgFAK1WC6VSiS1btgC4c8Jub2+Hm5sbAMDFxQUCgQCNjY3c1Zv+/n60t7dzY/Ty8sL4+DiuXbuGl19+eUaxuLu7o6enB7/88gvXb2trK27evMkde6YsLS2hUqmgUqkQGhoKhUKB69ev46effsLY2BgyMjLA599ZillWVjarvqdz9uzZe8rPPvvslPs+rDkkxFjRYmlCjMDChQuxZ88exMfHo6ioCJ2dndDpdMjNzUVRUdG/trOwsMDevXuRmJiIzz//HJ2dnTh79izy8/MBAGq1GosWLYJSqYRWq0VXVxdqamoQGxuLq1evzjg+mUyG2tpa9Pb24o8//gAAuLq6QqPR4MyZM9Dr9YiJicFvv/1mMKaIiAi8++67qKqqQktLC7Zt2wY+n89d/Vi+fDnUajXCw8Nx7NgxdHV14ccff0R6ejoqKyunjCUoKAienp5Qq9Vobm5GY2MjwsPDERAQYHDb8H6ysrJQUlKCixcvoq2tDeXl5bC1tYWVlRVcXFwwNjaGnJwcXL58GYcPH8ann346477vp76+Hvv370dbWxtyc3NRXl6O2NjYKfd9WHNIiLGiRIgQI5Gamop9+/YhLS0Nbm5uCA4Oxtdff41nnnlm2nbJyclISEjAvn374ObmBpVKxa1JEYvFqK2txdKlS7Fhwwa4ublh27Zt+Ouvv2Z1dSElJQXd3d1wcXHhbsckJyfD29sbwcHBCAwMhK2tLUJCQgzaZWZmwt/fH+vXr0dQUBBWrVoFNzc3WFhYcPsUFBQgPDwcCQkJkMvlePPNN9HQ0DDlk17A39+6bG1tjVdeeQVBQUFwdnZGaWnpjMcD3Ln1lp6eDl9fX6xYsQLd3d2orKwEn8/Hiy++iMzMTKSnp+P555/HkSNHDB6t/38lJCSgqakJXl5eSE1NRUZGBoKDg6fc92HNISHGisfuvuFOCCH/YYODg7C3t0dGRgaioqLmOpw5IZPJEBcXZ/BdSoSQB0drhAgh/1k6nQ4XL16En58fbt68iZSUFACAUqmc48gIIcaCEiFCyH/agQMHcOnSJZibm8PHxwdarRaLFi2a67AIIUaCbo0RQgghxGTRYmlCCCGEmCxKhAghhBBisigRIoQQQojJokSIEEIIISaLEiFCCCGEmCxKhAghhBBisigRIoQQQojJokSIEEIIISaLEiFCCCGEmKz/AbJZwh57msdDAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.model_selection import  train_test_split \n",
    "from sklearn.datasets import load_breast_cancer\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "# Load the data\n",
    "cancer = load_breast_cancer()\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(cancer.data,cancer.target,random_state=0)\n",
    "print(X_train.shape)\n",
    "print(X_test.shape)\n",
    "# Logistic Regression\n",
    "logreg = LogisticRegression(solver='lbfgs')\n",
    "logreg.fit(X_train, y_train)\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import cross_validate\n",
    "#Cross validation\n",
    "accuracy = cross_validate(logreg,X_test,y_test,cv=10)['test_score']\n",
    "print(accuracy)\n",
    "print(\"Test set accuracy with Logistic Regression: {:.2f}\".format(logreg.score(X_test,y_test)))\n",
    "\n",
    "import scikitplot as skplt\n",
    "y_pred = logreg.predict(X_test)\n",
    "skplt.metrics.plot_confusion_matrix(y_test, y_pred, normalize=True)\n",
    "plt.show()\n",
    "y_probas = logreg.predict_proba(X_test)\n",
    "skplt.metrics.plot_roc(y_test, y_probas)\n",
    "plt.show()\n",
    "skplt.metrics.plot_cumulative_gain(y_test, y_probas)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "448d70b5",
   "metadata": {},
   "source": [
    "## Gradient descent and Logistic regression\n",
    "\n",
    "We complete these examples by adding a simple code for\n",
    "Logistic regression. Note the more general approach with a class for\n",
    "the method. Here we use a so-called **AND** gate for our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1ce6966d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "class LogisticRegression:\n",
    "    def __init__(self, learning_rate=0.01, num_iterations=1000):\n",
    "        self.learning_rate = learning_rate\n",
    "        self.num_iterations = num_iterations\n",
    "        self.beta_logreg = None\n",
    "    def sigmoid(self, z):\n",
    "        return 1 / (1 + np.exp(-z))\n",
    "    def GDfit(self, X, y):\n",
    "        n_data, num_features = X.shape\n",
    "        self.beta_logreg = np.zeros(num_features)\n",
    "        for _ in range(self.num_iterations):\n",
    "            linear_model = X @ self.beta_logreg\n",
    "            y_predicted = self.sigmoid(linear_model)\n",
    "            # Gradient calculation\n",
    "            gradient = (X.T @ (y_predicted - y))/n_data\n",
    "            # Update beta_logreg\n",
    "            self.beta_logreg -= self.learning_rate*gradient\n",
    "    def predict(self, X):\n",
    "        linear_model = X @ self.beta_logreg\n",
    "        y_predicted = self.sigmoid(linear_model)\n",
    "        return [1 if i >= 0.5 else 0 for i in y_predicted]\n",
    "# Example usage\n",
    "if __name__ == \"__main__\":\n",
    "    # Sample data\n",
    "    X = np.array([[0, 0], [1, 0], [0, 1], [1, 1]])\n",
    "    y = np.array([0, 0, 0, 1])  # This is an AND gate\n",
    "    model = LogisticRegression(learning_rate=0.01, num_iterations=1000)\n",
    "    model.GDfit(X, y)\n",
    "    predictions = model.predict(X)\n",
    "    print(\"Predictions:\", predictions)"
   ]
  }
 ],
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