diff --git a/applications/machine_learning/.ipynb_checkpoints/scikit_learn-checkpoint.ipynb b/applications/machine_learning/.ipynb_checkpoints/scikit_learn-checkpoint.ipynb deleted file mode 100644 index f2534ce1b5281f86561f0135c6216be95c75db67..0000000000000000000000000000000000000000 --- a/applications/machine_learning/.ipynb_checkpoints/scikit_learn-checkpoint.ipynb +++ /dev/null @@ -1,966 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# scikit-learn\n", - "\n", - "Machine learning in python.\n", - "\n", - "- Simple and efficient tools for predictive data analysis\n", - "- Built on `numpy`, `scipy`, and `matplotlib`\n", - "- Open source, commercially usable - BSD license\n", - "- \\> 2.1k contributers, 22.5k forks, 48.5k \"stars\"\n", - "- Current version: 1.0.2\n", - "- Powerful generic API\n", - "- Very well documented\n", - "- Core techniques, hundreds of options for:\n", - " - Classification \n", - " - Regression \n", - " - Clustering \n", - " - Dimensionality Reduction \n", - " - Model Selection \n", - " - Preprocessing\n", - "\n", - "Some useful links are:\n", - "- [Main website](https://scikit-learn.org/stable/index.html)\n", - "- [User guide](https://scikit-learn.org/stable/user_guide.html)\n", - "- [API](https://scikit-learn.org/stable/modules/classes.html)\n", - "- [GitHub](https://github.com/scikit-learn/scikit-learn)\n", - "\n", - "## Notebook Overview:\n", - "* [Getting Started](#getting-started)\n", - " * [Estimators: fitting and predicting](#estimators)\n", - " * [Transformers](#transformers)\n", - " * [Pipelines: chaining transforms and estimators](#pipelines)\n", - " * [Model evaluation](#model-evaluation)\n", - "* [Neuroimaging examples](#examples)\n", - " * [Classification](#classification)\n", - " * [Regression](#regression)\n", - " * [Clustering](#clustering)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"getting-started\"></a>\n", - "## Getting Started\n", - "\n", - "Adapted from the `scikit-learn` \"Getting Started\" documentation: https://scikit-learn.org/stable/getting_started.html\n", - "\n", - "Three important concepts to understand for using `scikit-learn`:\n", - "1. `estimator` objects and their `fit` and `predict` methods for fitting data and making predictions\n", - "2. `transformer` objects for pre/post-processing transforms\n", - "3. `pipeline` objects for chaining together `transformers` and `estimators` into a machine learning pipeline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"estimators\"></a>\n", - "### Estimators: fitting and predicting\n", - "\n", - "Each machine learning model in `scikit-learn` is implemented as an [`estimator`](https://scikit-learn.org/stable/glossary.html#term-estimators) object. Here we instantiate [Random Forest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier) `estimator`:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# import RF estimator\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "\n", - "# instantiate RF estimator\n", - "clf = RandomForestClassifier(random_state=0)\n", - "\n", - "print(clf)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After creation, the `estimator` can be **fit** to the training data using the `fit` method.\n", - "\n", - "The fit method accepts 2 inputs:\n", - "\n", - "1. `X` is the training input samples of shape (`n_samples`, `n_features`). Thus, rows=samples and columns=features\n", - "2. `y` is the target values (class labels in classification, real numbers in regression) of shape (`n_samples`,) for one output, or (`n_samples`, `n_outputs`) for multiple outputs. \n", - "\n", - "> Note: Both `X` and `y` are usually numpy arrays or equivalent array-like data types." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# create some toy data\n", - "X = [[ 1, 2, 3], # 2 samples, 3 features\n", - " [11, 12, 13]]\n", - "y = [0, 1] # classes of each sample\n", - "\n", - "# fit the model to the data\n", - "clf.fit(X, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once trained, the `estimator` can make predictions on new data using the `predict` method." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# predict classes of new data\n", - "X_test = [[ 4, 5, 6], \n", - " [14, 15, 16]]\n", - "\n", - "clf.predict(X_test) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Importantly, this `fit` and `predict` interface is consistent across different estimators making it very easy to change estimators within your code. For example, here we swap the Random Forest `estimator` for a Support Vector Machine `estimator`:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# import an SVM estimator\n", - "from sklearn.svm import SVC\n", - "\n", - "# instantiate SVM estimator\n", - "clf = SVC(random_state=0)\n", - "\n", - "# fit and predict\n", - "clf.fit(X, y)\n", - "clf.predict(X_test) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Exercise:** `scikit-learn` implements a wide array of machine learning `estimators`. Try implementing fitting and predicting with a different model. See the `scikit-learn` [documentation](https://scikit-learn.org/stable/supervised_learning.html#supervised-learning) for model options." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# YOUR CODE GOES HERE" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"transformers\"></a>\n", - "### Transformers\n", - "\n", - "The `transformer` is a special object that follows the same API as an `estimator` and allows you to apply pre-processing and/or post-procssing transforms to the data in your machine learning pipeline. The `transformer` object has a `transform` method insted of a `predict` method.\n", - "\n", - "In this example we use a `transformer` to standarise the features (e.g. remove mean and scale to unit variance). The `fit` method calculates the mean and variance parameters from the data, and the `transform` method will do the scaling." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# import StandardScaler transformer\n", - "from sklearn.preprocessing import StandardScaler\n", - "\n", - "# create some toy data\n", - "X = [[0, 15],\n", - " [1, -10]]\n", - "\n", - "# instantiate StandardScaler transformer\n", - "scaler = StandardScaler()\n", - "\n", - "# fit the transform to the data\n", - "scaler.fit(X)\n", - "\n", - "# apply transform\n", - "scaler.transform(X)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Exercise:** Look at the [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler) for `StandardScaler` and see if you can extract the mean and variance estimates from the fitted `transformer`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# YOUR CODE GOES HERE" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"pipelines\"></a>\n", - "### Pipelines: chaining transforms and estimators\n", - "\n", - "A typical machine learning pipeline will often involve numerous pre-processing transforms and an estimator. The `pipeline` object can be used to combine `transformer` and `estimator` objects into a single object that has an API that is the same as a regular `estimator`. A pipeline is constructed with the `make_pipeline` function. \n", - "\n", - "In this example we create a very simple `pipeline` that is comprised of a StandardScaler `transform` and a Random Forest `estimator`.\n", - "\n", - "> Note: in this example the `estimator` predictions were made with the same data (`X`) on which the `estimator` was trained. Typically independent **train** and **test** data would be used for fitting and prediction. In the next section [Model evaluation](#model-evaluation) we will see how to split data into train and test sets." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "from sklearn.ensemble import RandomForestClassifier # estimator\n", - "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", - "from sklearn.datasets import load_iris # function to load demo dataset\n", - "\n", - "# create a pipeline object\n", - "pipe = make_pipeline(\n", - " StandardScaler(),\n", - " RandomForestClassifier()\n", - ")\n", - "\n", - "# load the iris dataset\n", - "X, y = load_iris(return_X_y=True)\n", - "\n", - "# fit the whole pipeline\n", - "pipe.fit(X, y)\n", - "\n", - "# predict classes from the training data\n", - "pipe.predict(X)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"model-evaluation\"></a>\n", - "### Model evaluation\n", - "\n", - "In machine learning we often want to train a model on some data, and then apply the model to new \"unseen\" data to make predictions. Thus we want our model to **generalise** well to unseen data. To asses generalisation, we need a dataset to train/fit the model AND an independent dataset to evaluate the model.\n", - "\n", - "The simplest way to do this is to just split the data into a train set and a test set, then fit the model to the train set, and make predictions on the test set. There are many methods for splitting data that are implemented within `scikit-learn` in the the [`model_selection`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection) module.\n", - "\n", - "To evaluate a model we also need a metric of performance. There a many metrics used in machine learning, and many of them are implemented within `scikit-learn` in the [`metrics`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics) module. \n", - "\n", - "In this example, we use the simple `pipeline` constructed earlier and extend it to include a simple train/test split using the `train_test_split` function. A major advantage of using the `pipeline` object is that it will prevent leakage between your train and test data, which would invalidate your evaluation. For the performance metric we use `accuracy_score` which is just the percentage of correct predictions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "from sklearn.ensemble import RandomForestClassifier # estimator\n", - "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", - "from sklearn.datasets import load_iris # function to load demo dataset\n", - "from sklearn.model_selection import train_test_split # function to split the data into train and test\n", - "from sklearn.metrics import accuracy_score # performance metric\n", - "\n", - "# create a pipeline object\n", - "pipe = make_pipeline(\n", - " StandardScaler(),\n", - " RandomForestClassifier()\n", - ")\n", - "\n", - "# load the iris dataset and split into train and test\n", - "X, y = load_iris(return_X_y=True)\n", - "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)\n", - "\n", - "# fit the pipeline to the train data\n", - "pipe.fit(X_train, y_train)\n", - "\n", - "# predict classes from the test data and calculate the accuracy\n", - "accuracy_score(pipe.predict(X_test), y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is typical to perform the train/test splits within the folds of a [cross-validation](https://scikit-learn.org/stable/modules/cross_validation.html#cross-validation) to make more efficient use of the available data. \n", - "\n", - "\n", - "\n", - "`scikit-learn` makes cross-validation very easy with the `cross_val_score` function. Furthermore, by using the `pipeline` object we can ensure that there is not data leakage with this more complex training scheme.\n", - "\n", - "In this example, we use use `cross_val_score` combined with the `KFold` cross-validation iterator to evaluate the model with 5-fold cross-validation:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "from sklearn.ensemble import RandomForestClassifier # estimator\n", - "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", - "from sklearn.datasets import load_iris # function to load demo dataset\n", - "from sklearn.model_selection import cross_val_score, KFold # cross-validation\n", - "\n", - "# create a pipeline object\n", - "pipe = make_pipeline(\n", - " StandardScaler(),\n", - " RandomForestClassifier()\n", - ")\n", - "\n", - "# load the iris dataset and split into train and test\n", - "X, y = load_iris(return_X_y=True)\n", - "\n", - "# run cross-validation (CV)\n", - "cv = KFold(n_splits=5)\n", - "result = cross_val_score(clf, X, y, cv=cv, scoring='accuracy')\n", - "\n", - "print(f'Accuracy per fold: {result}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Exercise:** Another commonly used cross-validation scheme is `StratifiedKFold` which is a variation of k-fold which uses stratified folds. A stratified fold is where each set (train/test) contains approximately the same percentage of samples of each target class as the complete set. Try training the pipeline from the previous example with `StratifiedKFold` and `k=6`. The documentation for `StratifiedKFold` is [here](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html#sklearn-model-selection-stratifiedkfold)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# YOUR CODE GOES HERE" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"examples\"></a>\n", - "## Neuroimaging Examples\n", - "\n", - "Here we present examples of using `scikit-learn` for classification, regression, and clustering on neuroimaging data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"classification\"></a>\n", - "### Classification\n", - "\n", - "In this example, we will train a `scikit-learn` classifier to predict from fMRI if the subject is looking at an image of a face or a house. \n", - "\n", - "The example will:\n", - "1. Download the fMRI for a single subject\n", - "2. Split the data into train and test sets\n", - "3. Fit a linear SVM to the train data\n", - "4. Evaluate the performance of the classifier on the test data\n", - "\n", - "This example is adapted from: https://nilearn.github.io/stable/auto_examples/02_decoding/plot_haxby_anova_svm.html#sphx-glr-auto-examples-02-decoding-plot-haxby-anova-svm-py\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we must import the data. If this is the first time you run this code it will also download the data, which should take less than a minute.\n", - "\n", - "> **NOTE:**\n", - "> 1. Here we use [`fetch_haxby`](https://nilearn.github.io/stable/modules/generated/nilearn.datasets.fetch_haxby.html#nilearn.datasets.fetch_haxby) from the [`nilearn`](https://nilearn.github.io/index.html) package to download the demo data\n", - "> 2. [`nb.load`](https://nipy.org/nibabel/gettingstarted.html) from the [`nibabel`](https://nipy.org/nibabel/index.html) package will load the image into [`nibabel.Nifti1Image`](https://nipy.org/nibabel/reference/nibabel.nifti1.html) object. This will not load the actual data though." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from nilearn import datasets\n", - "import nibabel as nb\n", - "\n", - "# load dataset for 1 subject (download if required, ~30s)\n", - "haxby_dataset = datasets.fetch_haxby() \n", - "\n", - "# select and load images from dataset\n", - "func_img = nb.load(haxby_dataset.func[0])\n", - "mask_img = nb.load(haxby_dataset.mask)\n", - "anat_img = nb.load(haxby_dataset.anat[0])\n", - "\n", - "print(f'Func x,y,z: {func_img.shape[:-1]}')\n", - "print(f'Func vols/TRs: {func_img.shape[-1]}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, load the behavioural data, which describes which task was being performed for each volume of the fMRI. We are only interested in a binary classification, so we select volumes where the user is looking at either a face or a house.\n", - "\n", - "> **NOTE:**\n", - "> 1. Here we use [`read_csv`](https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html) from the [`pandas`](https://pandas.pydata.org/docs/index.html) package to load the behavioural data\n", - "> 2. We use [`index_img`](https://nilearn.github.io/modules/generated/nilearn.image.index_img.html) from the [`nilearn`](https://nilearn.github.io/index.html) package to select the face and house volumes from the fMRI image." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "from nilearn.image import index_img\n", - "\n", - "# load behavioral information\n", - "behavioral = pd.read_csv(haxby_dataset.session_target[0], sep=\" \")\n", - "conditions = behavioral['labels']\n", - "\n", - "# create mask for faces and places\n", - "condition_mask = conditions.isin(['face', 'house'])\n", - "\n", - "# select faces/places volumes\n", - "func_img = index_img(func_img, condition_mask)\n", - "conditions = conditions[condition_mask]\n", - "\n", - "# Confirm that we now have 2 conditions (face and house)\n", - "print(f'Number of conditions: {conditions.shape[0]}')\n", - "print(f'Unique conditions: {conditions.unique()}')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now load the fMRI data (face and house conditions only), flatten into a `(n_sample, n_feature)` for use with `scikit-learn`, and mask out non-brain voxels. In this case, samples will be individual volumes, and features will be all non-brain voxels." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "func_data = func_img.get_fdata()[mask_img.get_fdata()!=0].T\n", - "\n", - "print(f'Flattened data shape (n_sample, n_feature): {func_data.shape}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Split the data into train/test with a 60/40 split." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Split data into training set and test set (60% train)\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "func_train, func_test, condition_train, condition_test = train_test_split(func_data, conditions, train_size=0.6, random_state=0)\n", - "\n", - "print(f'Number of train/test samples: {func_train.shape[0]}/{func_test.shape[0]}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now fit and SVM classifier to the train data, and evaluate on the test data. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.svm import SVC # estimator\n", - "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", - "from sklearn.metrics import (accuracy_score, # metrics for confusion matrix and accuracy\n", - " confusion_matrix, ConfusionMatrixDisplay) \n", - "\n", - "# construct classicification pipeline\n", - "clf = SVC(kernel='linear')\n", - "\n", - "pipe = make_pipeline(\n", - " StandardScaler(),\n", - " clf,\n", - ")\n", - "\n", - "# fit and predict\n", - "pipe.fit(func_train, condition_train) \n", - "condition_pred = pipe.predict(func_test)\n", - "\n", - "# evalute\n", - "acc = accuracy_score(condition_test, condition_pred)\n", - "print(f'Accuracy = {acc*100:.2f}%')\n", - "\n", - "cm = confusion_matrix(condition_test, condition_pred, labels=clf.classes_)\n", - "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=clf.classes_)\n", - "disp.plot();" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can look at the weights of the trained classifier spatially to evaluate which voxels were most discriminatory between faces and houses. This only works because we used a linear classifier. The process involves:\n", - "1. Extract the weights from the trained classifier\n", - "2. Reshape (un-flatten) the weights into a 3D volume\n", - "3. Plot the 3D weights\n", - "\n", - "> **NOTE:**\n", - "> 1. Here we use [`plot_stat_map`](https://nilearn.github.io/modules/generated/nilearn.plotting.plot_stat_map.html) from the [`nilearn`](https://nilearn.github.io/index.html) package to plot the images\n", - "> 2. [`subplots`](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html) from `matplotlib.pyplot` creates a figure and axes with specified size" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np # functions for reshaping arrays\n", - "import matplotlib.pyplot as plt\n", - "from nilearn import plotting\n", - "\n", - "# get coefficients/weights from the classifier\n", - "coef = clf.coef_.squeeze()\n", - "\n", - "# reshape coeffecients to 3D and create nifti\n", - "coef_3d = np.zeros(func_img.shape[:-1]).ravel()\n", - "coef_3d[(mask_img.get_fdata()!=0).ravel()] = coef\n", - "coef_3d = np.reshape(coef_3d, func_img.shape[:-1])\n", - "coef_img = nb.Nifti1Image(coef_3d, header=func_img.header, affine=func_img.affine)\n", - "\n", - "# plot coefficients\n", - "fig, ax = plt.subplots(figsize=(20, 5))\n", - "plotting.plot_stat_map(coef_img, anat_img, title=\"discriminating weights\", display_mode=\"z\", cut_coords=7, axes=ax, threshold=0.0005, dim=-1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"regression\"></a>\n", - "### Regression\n", - "\n", - "In this example, we will do a multivariate regression of voxel-based-morphometry with subject age.\n", - "\n", - "The data come from the [OASIS](https://www.oasis-brains.org) project and has been run through a standard VBM pipeline to create VBM maps.\n", - "\n", - "The example will:\n", - "1. Download the VBM maps for 200 subjects\n", - "2. Split the data into train and test sets\n", - "3. Implement a custom transformer to mask the non-GM voxels\n", - "3. Fit a `Ridge` regressor to the train data\n", - "4. Evaluate the performance of the regressor on the test data\n", - "\n", - "This example is adapted from: https://nilearn.github.io/stable/auto_examples/02_decoding/plot_oasis_vbm.html#sphx-glr-auto-examples-02-decoding-plot-oasis-vbm-py" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we must import the data. If this is the first time you have run this code it will also download the data, which should take only a minute or two.\n", - "\n", - "> **NOTE:**\n", - "> 1. Here we use [`fetch_oasis_vbm`](https://nilearn.github.io/stable/modules/generated/nilearn.datasets.fetch_oasis_vbm.html#nilearn.datasets.fetch_oasis_vbm) from the [`nilearn`](https://nilearn.github.io/index.html) package to download the VBM data\n", - "> 2. [`nb.load`](https://nipy.org/nibabel/gettingstarted.html) from the [`nibabel`](https://nipy.org/nibabel/index.html) package will load the image into [`nibabel.Nifti1Image`](https://nipy.org/nibabel/reference/nibabel.nifti1.html) object. This will not load the actual data though." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import nibabel as nb\n", - "from nilearn import datasets\n", - "\n", - "# fetch the VBM data from 200 subjects\n", - "n_subjects = 200 \n", - "dataset_files = datasets.fetch_oasis_vbm(n_subjects=n_subjects) # 1-2 mins depending on your connection\n", - "\n", - "# extract age from dataset\n", - "age = dataset_files.ext_vars['age'].astype(float)\n", - "age = np.array(age)\n", - "\n", - "# load GM maps\n", - "imgs = [nb.load(f) for f in dataset_files.gray_matter_maps]\n", - "imgs_data = np.stack([img0.get_fdata().ravel() for img0 in imgs], axis=1).T # ~10s\n", - "\n", - "print(f'Flattened data shape (n_sample, n_feature): {imgs_data.shape}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plot the distribution of the subjects age." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "fig, ax = plt.subplots(figsize=(10, 5))\n", - "ax.hist(age, bins=20)\n", - "ax.set_xlabel('age (years)')\n", - "ax.set_ylabel('count')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Split the data into train/test with a 60/40 split." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Split data into training set and test set (60% train)\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "imgs_train, imgs_test, age_train, age_test = train_test_split(imgs_data, age, train_size=.6, random_state=0)\n", - "\n", - "# Sort test data by age, simply for better visualization later\n", - "perm = np.argsort(age_test)[::-1]\n", - "age_test = age_test[perm]\n", - "imgs_test = imgs_test[perm]\n", - "\n", - "print(f'Number of train/test samples: {imgs_train.shape[0]}/{imgs_test.shape[0]}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Each VBM map has a lot of non-GM voxels that are of no interest. Ideally we would remove these using a brain mask, but unfortunately there is not a mask provided with the dataset. We could calculate a mask by calculating a group mean image, and then binarising it. However, this would cause leakage between train and test data. Ideally, the mask would be calculated on the train data and applied to the test data. This is exactly the role a `transformer` in a machine-learning pipeline.\n", - "\n", - "Here we create a custom `transformer` called `MaskTransformer`. When `fit` is called, it creates a mask by taking the mean across samples (rows of `X`) and then binarises it with the specified threshold. When `transform` is called, it uses the pre-calculated mask to remove samples (rows of `X`) that are not in the mask.\n", - "\n", - "More information on custom transformers can be found [here](https://towardsdatascience.com/pipelines-custom-transformers-in-scikit-learn-the-step-by-step-guide-with-python-code-4a7d9b068156)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.base import BaseEstimator, TransformerMixin\n", - "import numpy as np\n", - "\n", - "class MaskTransformer(BaseEstimator, TransformerMixin):\n", - " def __init__(self, threshold=0.3):\n", - " self.threshold = threshold\n", - "\n", - " def fit(self, X, y=None):\n", - " self.mask = np.mean(X, axis=0) > self.threshold\n", - " return self\n", - "\n", - " def transform(self, X, y=None):\n", - " X_ = X.copy()\n", - " return X_[:, self.mask]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we fit a `Ridge` regressor to the train data, and evaluate on the test data. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.linear_model import Ridge # estimator\n", - "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", - "\n", - "regr = Ridge(alpha=0.5) # instantiate ridge regression estimator\n", - "masker = MaskTransformer() # instantiate mask transformer\n", - "\n", - "# construct regression pipline\n", - "pipe = make_pipeline(\n", - " masker,\n", - " StandardScaler(),\n", - " regr,\n", - ")\n", - "\n", - "# fit and predict\n", - "pipe.fit(imgs_train, age_train) \n", - "age_pred = pipe.predict(imgs_test)\n", - "\n", - "# evaluate\n", - "fig, ax = plt.subplots(figsize=(10, 5))\n", - "\n", - "ax.plot(age_test, label='True age')\n", - "ax.plot(age_pred, label='Predicted age')\n", - "\n", - "ax.set_ylabel('age (years)')\n", - "ax.set_xlabel('samples')\n", - "plt.legend()\n", - "\n", - "mse = np.mean(np.abs(age_test - age_pred))\n", - "ax.set_title(f'Mean absolute error {mse:.2f} years')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can look at the coefficients of the trained regressor spatially and see which varied most with age. The process involves:\n", - "1. Extract the regression coefficients from the trained regressor\n", - "2. Reshape (un-flatten) the weights into a 3D volume\n", - "3. Plot the 3D coefficients\n", - "\n", - "> **NOTE:**\n", - "> 1. Here we use [`plot_stat_map`](https://nilearn.github.io/modules/generated/nilearn.plotting.plot_stat_map.html) from the [`nilearn`](https://nilearn.github.io/index.html) package to plot the orthographic images\n", - "> 2. [`subplots`](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html) from `matplotlib.pyplot` creates a figure and axes with specified size" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from nilearn import plotting\n", - "\n", - "# get regression coefficients from the estimator\n", - "coef = regr.coef_\n", - "\n", - "# reshape coefficients into 3D volume\n", - "coef_3d = np.zeros(imgs[0].shape).ravel()\n", - "coef_3d[masker.mask] = coef\n", - "coef_3d = np.reshape(coef_3d, imgs[0].shape)\n", - "coef_img = nb.Nifti1Image(coef_3d, header=imgs[0].header, affine=imgs[0].affine)\n", - "\n", - "# plot\n", - "fig, ax = plt.subplots(figsize=(20, 5))\n", - "plotting.plot_stat_map(coef_img, imgs[0], title=\"regression coeffs\", display_mode=\"z\", cut_coords=5, axes=ax, threshold=0.002)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "<a class=\"anchor\" id=\"Clustering\"></a>\n", - "### Clustering\n", - "\n", - "In this example, we will cluster the intensities of an anatomical image to label different tissues. A guassian mixture model will be fit by expectation-maximisation. This is similar to how `FSL fast` works for tissue segmentation.\n", - "\n", - "The example will:\n", - "1. Fetch an anatomical image\n", - "2. Skull-strip the image using FSL tools\n", - "3. Fit a guassian mixture model to the voxel intensities" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First import the data. In this example we use a single anatomical image from the `haxby` dataset that was used in the classification example." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from nilearn import datasets\n", - "from nilearn import plotting\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# fetch anatomical image\n", - "haxby_dataset = datasets.fetch_haxby() # 1 subject, ~30s\n", - "anat = haxby_dataset.anat[0]\n", - "\n", - "# plot\n", - "fig, ax = plt.subplots(figsize=(15, 7))\n", - "plotting.plot_anat(anat, dim=-1, axes=ax)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we limit the field-of-view, and skull-strip the anatomical image using `FSL` tools, specifically `robustfov` and `bet`.\n", - "\n", - "> **Note**: \n", - "> 1. Here we use the `!` operator to execute the command in the shell\n", - "> 2. The `{}` will expand the contained python variable in the shell" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# extract brain using FSL tools\n", - "\n", - "anat_brain = anat.replace('.nii.gz', '_brain.nii.gz')\n", - "\n", - "! robustfov -i {anat} -r {anat_brain}\n", - "! bet {anat_brain} {anat_brain}\n", - "\n", - "# plot brain extraction\n", - "\n", - "fig, ax = plt.subplots(figsize=(15,7))\n", - "plotting.plot_anat(anat_brain, dim=-1, axes=ax)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now load the skull-stripped anatomical image, remove the non-brain voxels (intensity==0), and flatten into a `(n_sample, n_feature)` matrix for use with `scikit-learn`. In this case, samples will be individual voxels, and there will only be a single feature." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import nibabel as nb\n", - "import numpy as np\n", - "\n", - "# load brain image\n", - "anat_img = nb.load(anat_brain)\n", - "anat_data = anat_img.get_fdata()\n", - "\n", - "# create brain mask\n", - "mask = anat_data > 0\n", - "\n", - "# remove non-brain voxls and reshape (n_sample, n_features) for skikit-learn\n", - "anat_data = anat_data[mask][:, np.newaxis]\n", - "\n", - "print(f'Flattened shape: {anat_data.shape}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Fit a gaussian mixture model to the data with 4 gaussians, then predict the class/label on the same data. Given that both `fit` and `predict` will be used on the same data, we can use a convenience method that does both called `fit_predict`. Finally, reshape the classes/labels in a 3D volume and plot." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.mixture import GaussianMixture # import gaussian mixture model\n", - "\n", - "# do cluster\n", - "labels = GaussianMixture(n_components=4, random_state=0).fit_predict(anat_data)\n", - "\n", - "# reshape labels in 3D volume\n", - "labels_3d = np.zeros(anat_img.shape).ravel()\n", - "labels_3d[mask.ravel()] = labels+1\n", - "\n", - "labels_3d = np.reshape(labels_3d, anat_img.shape)\n", - "labels_img = nb.Nifti1Image(labels_3d, header=anat_img.header, affine=anat_img.affine)\n", - "\n", - "# plot labels\n", - "fig, ax = plt.subplots(figsize=(20,5))\n", - "disp = plotting.plot_anat(anat_brain, dim=-1, axes=ax, display_mode=\"z\", cut_coords=7,)\n", - "disp.add_overlay(labels_img)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "interpreter": { - "hash": "8f5a176552fc0f23c8f04279340cb4c0ac62022f9ffb83054f20d62859be286b" - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.8.12" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/applications/machine_learning/scikit_learn.ipynb b/applications/machine_learning/scikit_learn.ipynb index 632d847239bb3ff22a054e80445c023a417b77aa..fe5cf0bcfa33aa47c9fca5bc292738e9fc0b23e7 100644 --- a/applications/machine_learning/scikit_learn.ipynb +++ b/applications/machine_learning/scikit_learn.ipynb @@ -68,17 +68,9 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RandomForestClassifier(random_state=0)\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# import RF estimator\n", "from sklearn.ensemble import RandomForestClassifier\n", @@ -100,25 +92,14 @@ "1. `X` is the training input samples of shape (`n_samples`, `n_features`). Thus, rows=samples and columns=features\n", "2. `y` is the target values (class labels in classification, real numbers in regression) of shape (`n_samples`,) for one output, or (`n_samples`, `n_outputs`) for multiple outputs. \n", "\n", - "> Note: Both `X` and `y` are usually numpy arrays or equivalent array-like data types." + "> Note: Both `X` and `y` are usually numpy arrays or equivalent array-like data types, including a [`pandas DataFrame`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html)." ] }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "RandomForestClassifier(random_state=0)" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# create some toy data\n", "X = [[ 1, 2, 3], # 2 samples, 3 features\n", @@ -138,20 +119,9 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0, 1])" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# predict classes of new data\n", "X_test = [[ 4, 5, 6], \n", @@ -170,20 +140,9 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0, 1])" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# import an SVM estimator\n", "from sklearn.svm import SVC\n", @@ -226,21 +185,9 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-1., 1.],\n", - " [ 1., -1.]])" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# import StandardScaler transformer\n", "from sklearn.preprocessing import StandardScaler\n", @@ -268,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -286,27 +233,9 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'with_mean': True,\n", - " 'with_std': True,\n", - " 'copy': True,\n", - " 'n_features_in_': 2,\n", - " 'n_samples_seen_': 2,\n", - " 'mean_': array([0.5, 2.5]),\n", - " 'var_': array([ 0.25, 156.25]),\n", - " 'scale_': array([ 0.5, 12.5])}" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Look inside the object to see the learned parameters (and other object properties)\n", "vars(scaler)" @@ -319,7 +248,7 @@ "<a class=\"anchor\" id=\"pipelines\"></a>\n", "### Pipelines: chaining transforms and estimators\n", "\n", - "A typical machine learning pipeline will often involve numerous pre-processing transforms and one or more estimators. The `pipeline` object can be used to combine `transformer` and `estimator` objects into a single object that has an API that is the same as a regular `estimator`. A pipeline is constructed with the `make_pipeline` function. \n", + "A typical machine learning pipeline will often involve numerous pre-processing transforms and one or more estimators. The `pipeline` object can be used to combine `transformer` and `estimator` objects into a single object that has an API that is the same as a regular `estimator`. \n", "\n", "In this example we create a very simple `pipeline` that is comprised of a StandardScaler `transform` and a Random Forest `estimator`.\n", "\n", @@ -328,41 +257,24 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", - " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", - " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n", - " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n", - " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# imports\n", "from sklearn.ensemble import RandomForestClassifier # estimator\n", "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import Pipeline # pipeline maker\n", + "from sklearn.pipeline import Pipeline # pipeline\n", "from sklearn.datasets import load_iris # function to load demo dataset\n", "\n", "# create a pipeline object\n", "# using a list of transformers/estimators (and give them names)\n", "pipe = Pipeline(\n", " [\n", - " ('my_scaler',StandardScaler()),\n", - " ('my_classifier',RandomForestClassifier())\n", + " ('my_scaler', StandardScaler()),\n", + " ('my_classifier', RandomForestClassifier())\n", " ]\n", - " )\n", + ")\n", "\n", "# load the iris dataset\n", "# See https://en.wikipedia.org/wiki/Iris_flower_data_set\n", @@ -386,35 +298,16 @@ }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[5.84333333 3.05733333 3.758 1.19933333]\n", - "[0.68112222 0.18871289 3.09550267 0.57713289]\n", - "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n", - " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n", - " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n", - " 2 2]\n", - "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n", - " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n", - " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n", - " 2 2]\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Check the parameters learned by the scaler\n", "print(pipe['my_scaler'].mean_)\n", "print(pipe['my_scaler'].var_)\n", "\n", "# Run only the scaler on some data\n", - "pipe['my_scaler'].transform(X)\n", + "X_t = pipe['my_scaler'].transform(X)\n", "\n", "# Running the full pipeline is equivalent to running the `transform` method on the different bits \n", "# sequentially and then running a `predict` at the end\n", @@ -440,25 +333,14 @@ }, { "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.9736842105263158" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# imports\n", "from sklearn.ensemble import RandomForestClassifier # estimator\n", "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import Pipeline # pipeline maker\n", + "from sklearn.pipeline import Pipeline # pipeline\n", "from sklearn.datasets import load_iris # function to load demo dataset\n", "from sklearn.model_selection import train_test_split # function to split the data into train and test\n", "from sklearn.metrics import accuracy_score # performance metric\n", @@ -466,12 +348,13 @@ "# create a pipeline object\n", "pipe = Pipeline(\n", " [\n", - " ('my_scaler',StandardScaler()),\n", - " ('my_classifier',RandomForestClassifier())\n", + " ('my_scaler', StandardScaler()),\n", + " ('my_classifier', RandomForestClassifier())\n", " ]\n", - " )\n", + ")\n", "\n", "# load the iris dataset and split into train and test\n", + "# See https://en.wikipedia.org/wiki/Iris_flower_data_set\n", "X, y = load_iris(return_X_y=True)\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)\n", "\n", @@ -497,22 +380,14 @@ }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accuracy per fold: [1. 1. 0.83333333 0.93333333 0.7 ]\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# imports\n", "from sklearn.ensemble import RandomForestClassifier # estimator\n", "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import Pipeline # pipeline maker\n", + "from sklearn.pipeline import Pipeline # pipeline\n", "from sklearn.datasets import load_iris # function to load demo dataset\n", "from sklearn.model_selection import cross_val_score, KFold # cross-validation\n", "\n", @@ -522,14 +397,14 @@ " ('my_scaler',StandardScaler()),\n", " ('my_classifier',RandomForestClassifier())\n", " ]\n", - " )\n", + ")\n", "\n", "# load the iris dataset and split into train and test\n", "X, y = load_iris(return_X_y=True)\n", "\n", "# run cross-validation (CV)\n", "cv = KFold(n_splits=5)\n", - "result = cross_val_score(clf, X, y, cv=cv, scoring='accuracy')\n", + "result = cross_val_score(pipe, X, y, cv=cv, scoring='accuracy')\n", "\n", "for idx, acc in enumerate(result):\n", " print(f'Accuracy fold {idx}: {acc*100:0.2f}%')" @@ -595,84 +470,15 @@ }, { "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/fmrib/fsltmp/fsl_0eb1b895/fslpython/envs/fslpython/lib/python3.8/site-packages/nilearn/datasets/__init__.py:86: FutureWarning: Fetchers from the nilearn.datasets module will be updated in version 0.9 to return python strings instead of bytes and Pandas dataframes instead of Numpy arrays.\n", - " warn(\"Fetchers from the nilearn.datasets module will be \"\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Dataset created in /Users/saad/nilearn_data/haxby2001\n", - "\n", - "Downloading data from https://www.nitrc.org/frs/download.php/7868/mask.nii.gz ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " ...done. (1 seconds, 0 min)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from http://data.pymvpa.org/datasets/haxby2001/MD5SUMS ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " ...done. (0 seconds, 0 min)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from http://data.pymvpa.org/datasets/haxby2001/subj2-2010.01.14.tar.gz ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Downloaded 289456128 of 291168628 bytes (99.4%, 0.1s remaining) ...done. (15 seconds, 0 min)\n", - "Extracting data from /Users/saad/nilearn_data/haxby2001/def37a305edfda829916fa14c9ea08f8/subj2-2010.01.14.tar.gz..." - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Func x,y,z: (40, 64, 64)\n", - "Func vols/TRs: 1452\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - ".. done.\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from nilearn import datasets\n", "import nibabel as nb\n", "\n", "# load dataset for 1 subject (download if required, ~30s)\n", + "# https://www.science.org/doi/10.1126/science.1063736\n", "haxby_dataset = datasets.fetch_haxby() \n", "\n", "# select and load images from dataset\n", @@ -697,18 +503,9 @@ }, { "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of conditions: 216\n", - "Unique conditions: ['face' 'house']\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import pandas as pd\n", "from nilearn.image import index_img\n", @@ -738,17 +535,9 @@ }, { "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Flattened data shape (n_sample, n_feature): (216, 39912)\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "func_data = func_img.get_fdata()[mask_img.get_fdata()!=0].T\n", "\n", @@ -764,17 +553,9 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of train/test samples: 129/87\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Split data into training set and test set (60% train)\n", "from sklearn.model_selection import train_test_split\n", @@ -793,38 +574,23 @@ }, { "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Accuracy = 97.70%\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 432x288 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from sklearn.svm import SVC # estimator\n", "from sklearn.preprocessing import StandardScaler # transformer\n", - "from sklearn.pipeline import Pipeline # pipeline maker\n", + "from sklearn.pipeline import Pipeline # pipeline\n", "from sklearn.metrics import (accuracy_score, # metrics for confusion matrix and accuracy\n", " confusion_matrix, ConfusionMatrixDisplay) \n", "\n", "# construct classification pipeline\n", - "pipe = Pipeline([('scaler',StandardScaler()),('clf',SVC(kernel='linear'))])\n", + "pipe = Pipeline(\n", + " [\n", + " ('scaler', StandardScaler()),\n", + " ('clf', SVC(kernel='linear')),\n", + " ]\n", + ")\n", "\n", "# fit and predict\n", "pipe.fit(func_train, condition_train) \n", @@ -855,30 +621,9 @@ }, { "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<nilearn.plotting.displays.ZSlicer at 0x161e31910>" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1440x360 with 9 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import numpy as np # functions for reshaping arrays\n", "import matplotlib.pyplot as plt\n", @@ -932,44 +677,16 @@ }, { "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Dataset created in /Users/saad/nilearn_data/oasis1\n", - "\n", - "Downloading data from https://www.nitrc.org/frs/download.php/6364/archive_dartel.tgz ...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Downloaded 881459200 of 905208634 bytes (97.4%, 1.0s remaining) ...done. (39 seconds, 0 min)\n", - "Extracting data from /Users/saad/nilearn_data/oasis1/ca50951394ea282f76278201a3c0415c/archive_dartel.tgz..... done.\n", - "/opt/fmrib/fsltmp/fsl_0eb1b895/fslpython/envs/fslpython/lib/python3.8/site-packages/numpy/lib/npyio.py:2405: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.\n", - " output = genfromtxt(fname, **kwargs)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Flattened data shape (n_sample, n_feature): (200, 902629)\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import numpy as np\n", "import nibabel as nb\n", "from nilearn import datasets\n", "\n", - "# fetch the VBM data from 200 subjects\n", - "n_subjects = 200 \n", + "# fetch the VBM data from 150 subjects\n", + "n_subjects = 150 \n", "dataset_files = datasets.fetch_oasis_vbm(n_subjects=n_subjects) # 1-2 mins depending on your connection\n", "\n", "# extract age from dataset\n", @@ -992,32 +709,9 @@ }, { "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'count')" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 720x360 with 1 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", @@ -1036,17 +730,9 @@ }, { "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of train/test samples: 120/80\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Split data into training set and test set (60% train)\n", "from sklearn.model_selection import train_test_split\n", @@ -1065,7 +751,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Each VBM map has a lot of non-GM voxels that are of no interest. Ideally we would remove these using a brain mask, but unfortunately there is not a mask provided with the dataset. We could calculate a mask by calculating a group mean image, and then binarising it. However, this would cause leakage between train and test data. Ideally, the mask would be calculated on the train data and applied to the test data. This is exactly the role a `transformer` in a machine-learning pipeline.\n", + "Each VBM map has a lot of non-GM voxels that are of no interest. Ideally we would remove these using a brain mask, but unfortunately there is not a mask provided with the dataset. We could calculate a mask by calculating a group mean image, and then binarising it. However, this would cause leakage between train and test data. Ideally, the mask would be calculated on the train data and applied to the test data. This is exactly the role of a `transformer` in a `scikit-learn` pipeline.\n", "\n", "Here we create a custom `transformer` called `MaskTransformer`. When `fit` is called, it creates a mask by taking the mean across samples (rows of `X`) and then binarises it with the specified threshold. When `transform` is called, it uses the pre-calculated mask to remove samples (rows of `X`) that are not in the mask.\n", "\n", @@ -1074,7 +760,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1082,67 +768,53 @@ "import numpy as np\n", "\n", "class MaskTransformer(BaseEstimator, TransformerMixin):\n", - " def __init__(self, threshold=0.3):\n", - " self.threshold = threshold\n", + " def __init__(self, threshold=0.3):\n", + " self.threshold = threshold\n", "\n", - " def fit(self, X, y=None):\n", - " self.mask = np.mean(X, axis=0) > self.threshold\n", - " return self\n", + " def fit(self, X, y=None):\n", + " self.mask = np.mean(X, axis=0) > self.threshold\n", + " return self\n", "\n", - " def transform(self, X, y=None):\n", - " X_ = X.copy()\n", - " return X_[:, self.mask]" + " def transform(self, X, y=None):\n", + " X_ = X.copy()\n", + " return X_[:, self.mask]\n", + "\n", + " def inverse_transform(self, X):\n", + " X_r = np.zeros((X.shape[0], self.mask.shape[0]))\n", + " X_r[:, self.mask] = X\n", + " return X_r" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Now we fit a `Ridge` regressor to the train data, and evaluate on the test data. " + "Now we fit a `Ridge` regressor to the train data, and evaluate on the test data. \n", + "\n", + "This example includes an additioal `transformer` called `SelectPercentile` which will select the 50% of the features (voxels) with the highest ANOVA f-score with the target labels. We included this simply to reduce the memory requirements of the regression." ] }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Mean absolute error 9.01 years')" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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A7qt48803M2DAAE477TR27txZfa5JkybhNkf/5JNPOOaYYxg6dChTp05l48aNPPXUUzz44IMMGzaMOXPmsGvXLs4991xGjRrFqFGj+OqrrwAoKiripJNOYvjw4Vx//fU+93m88cYbGTlyJAMHDuQ3v/lN9eMfffQR/fr1Y/z48dxyyy2cfvrpAOzbt4+rrrqKUaNGMXz4cN59992gfIYh6+MlIoOAa4HRwGHgExH50HlshjHmfhG5B7gHuDtU4whIdUuJNdB9YvOORSmllGpBKioq+PjjjznllFMA+O6771i+fDndu3dn2rRppKSkMG/ePA4dOsS4ceM46aSTWLRoEatXr2bZsmUUFBQwYMAArrrqqiPOu2vXLq699lq++OILunfvTnFxMenp6dxwww20a9eOO++8E4CLL76Y22+/nfHjx7N582ZOPvlkVq1axW9/+1vGjx/Pr3/9az788EOmTZvmdfx//OMfSU9Pp7KykqlTp7J06VL69OnD9ddfX33tiy666Ijjp0yZwj//+U9KSkoYPXo0J5xwQpP3hAxlA9X+wFxjzH4AEfkcOAc4C5jkHPMCMJuWEngldYLoRFvnpZRSSrUkH98DO5YF95wdBsOp99d7yIEDBxg2bBhgM15XX301X3/9NaNHj6Z79+4ATJ8+naVLl1bXb5WWlpKXl8cXX3zBRRddRGRkJJ06dWLKlCl1zj937lwmTpxYfa709HSv4/jss8+OqAnbs2cPZWVlfPHFF7z11lsAnHbaaaSleZ9Ie+2115g2bRoVFRVs376dlStXUlVVRY8ePaqvfdFFF1UHbtOnT+e9997j73//O2A39N68eXOTt3AKZeC1HPijiGQAB4AfAPOB9saY7QDGmO0ikh3CMQQmIgIyeurKRqWUUsrh1njV5pn5Mcbw6KOPcvLJJx9xzEcffYSI1Ht+Y0yDxwBUVVXxzTffEB8fX+e5hl6/YcMG/v73vzNv3jzS0tK44oorOHjwoM9pSXdcb775Jn379m1wbIEIWeBljFklIn8BPgX2AkuACn9fLyLXAdcBdO3aNSRj9CqzD2z9LnzXU0oppfzRQGaqOZ188sk8+eSTTJkyhejoaNasWUPnzp2ZOHEiTz/9NJdddhk7d+5k1qxZXHzxxUe8duzYsdx0001s2LDhiKnGpKQk9uzZU33cSSedxGOPPcZdd90FwOLFixk2bBgTJ07kpZde4pe//CUff/wxu3fvrjO+PXv2kJiYSEpKCgUFBXz88cdMmjSJfv36sX79ejZu3Ehubi6vvvrqEe/p0Ucf5dFHH0VEWLRoEcOHD2/yZxXS4npjzHPGmGOMMROBYiAPKBCRjgDO7U4fr51mjBlpjBmZlZUVymEeKbM3lGyB8gPhu6ZSSinVil1zzTUMGDCAY445hkGDBnH99ddTUVHBOeecQ+/evRk8eDA33ngjxx9/fJ3XZmVlMW3aNH74wx8ydOjQ6v0ZzzjjDN5+++3q4vpHHnmE+fPnM2TIEAYMGFC9uvI3v/kNX3zxBccccwzTp0/3mqwZOnQow4cPZ+DAgVx11VWMGzcOsNm8J554glNOOYXx48fTvn17UlJSAPjVr35FeXk5Q4YMYdCgQfzqV78Kymcl9aXZmnxykWxjzE4R6QpMB8YC9wJFHsX16caYn9d3npEjRxp35UPILX8T3rgKbvgKOgwKzzWVUkopL1atWtXkmiJVv71799KuXTuMMdx000307t2b22+/3e/Xe/sZicgCY8xIb8eHuo/XmyKyEngfuMkYsxu4HzhRRPKAE537LUeGx8pGpZRSSh3VnnnmGYYNG8bAgQMpLS3l+uuvD+n1QllcjzFmgpfHioCpobxuk7ibZRfpykallFLqaHf77bcHlOFqKu1cD+wqO8ScvF12dUNMAqR00YyXUkoppYIupBmv1uKlbzfx0Gd5DOuSyk+n9GJKZm+kULvXN9rS1yE6DvqcCpH6K6aUUk3hb7sFFX6NqZPXv4rAjZN6kp0UxxOz13L1C/N5OCWR0yrnElFZRUSkJgUDcnAPvHUtYCA5B0ZdBcdcDomZzT0ypZRqdeLi4igqKiIjI0ODrxbGGENRURFxcXEBvU4DLyA2KpKLj+3K+SNzeG/xNjZM/5yoiv1c8OA7XDh1NGcM6USUBmD+2bYIMDDuNvv9jN/B7L/AoHNh9LXQ+ZjmHqFSSrUaOTk5bN26lV27djX3UJQXcXFx5OTkBPQaDbw8REdGcO6IHCpTfgAvPk13k8/try7hoc/y+MmknpwzPIeYKA3A6pW/wN6OuxUS0mHn9zDvWVjyMiz5L/Q5BS5+tf5zKKWUAiA6Orp6Oxt1dNAowovI7D4A/GliHNMuHUFKfDR3v7mMSX+bxb+/2cjB8spmHmELlr8A0nvYoAsgux+c9nf42SoYdB6s+QQqy5t3jEoppVQz0cDLm6SOENOOiKI8ThrYgXdvGsfzV46iY2o8v353BRP+Ootn56xn/2G/d0BqO/IXQucRdR+PS4auY+z3+4vDOyallFKqhdDAyxsR28+rKM+5K0zqm80bN4zl5WvH0Du7HX/4cBXj7p/J47PWsuegZnAA2LMNyrZ5D7ygpsB+f2H4xqSUUkq1IFrj5Utmb9j87REPiQhje2YwtmcGCzYV89jMtfztf6t56vN1XHlcLleO605aYkwzDbgFyF9ob30FXglO4LVPAy+llFJtk2a8fMnsA6Wb4fB+r0+P6JbOv64czfs3j+e4nhk8MnMt4/8ykz9/vIpdZYfCPNgWIn8+RERBhyHen9eMl1JKqTZOAy9f3K2DitfVe9jgnBSevnQk/7ttIlP7t+eZL9Yz/i8zue+9FWwvPRCGgbYg+Qug/SDbPNWbxCx7qxkvpZRSbZQGXr5k2pWN/m4d1LdDEo9cNJwZd0zizKGdeHHuJo7/62zufXsZW4q9Z82OKlVVkL/I9zQjQHwaIBp4KaWUarM08PIloycgUBjYZtndMxP52/lDmXXnJH40Koc35m9l0t9nc8drS1i3a29oxtoSFOXB4bL6A6+ISNtmQqcalVJKtVFaXO9LdDykNn6z7C7pCfzh7MHcPLk3075Yz3+/28Rbi7bSt32S120fEmIiuXBUF84e3pno1tgl322cWl/gBbbAXjNeSiml2igNvOqT0bu6pURjdUiJ49dnDOAnk3vy/FcbWV1Q5vW4zUX7ueuNpTw8I48bJ/XkvBE5xEZFNunaYbV1PsQk1UzR+pKYCfuLwjMmpZRSqoXRwKs+mX1g4Vwwxvb2asqp2sVy58l9fT5vjGHm9zt5ZOZa/u/t5Tw6Yy3XH9+DC0d1JT6mFQRg+Qug83CIaCBbl5ABu1aHZ0xKKaVUC6OBV30ye0H5PtsYNKVzSC8lIkzt354p/bL5cm0hj85cy2/fX8njs9YyNCfVa9yXnhjDFcd1Z0Cn5JCOrUHlB6FgORz304aPTcyCjV+GfkxKKaVUC6SBV308VzaGOPByiQgTemcxoXcW364v4pk5G3y2pZi7vpjX5m/lhP7Z3DylN8O6pIZljHXsWAZVFQ3Xd4GdajywG6oqbbG9Ukop1YZo4FWfjN72dtdq6Dk57Jc/tkcGx/bI8Pl86YFyXvh6I//8agNnP/4VE3pncvPkXvW+JiT8LawHp3u9sfs1tssK6bCUUkqplkYDr/okdYD0nrDibRhzQ3OPpo6U+Ghumdqbq8Z356W5m3hmznoumDaXUblp9Ovgffqxa3oCF47uQlJcdPAGkr8AkjpBcqeGj010gsL9hRp4KaWUanM08KqPCIy6Gv53r51O6zC4uUfkVbvYKK4/vieXjc3l1XmbeeGbTXy4bHud44wx7N5fzqMz87hiXHeuGpdLakIQ9pbMnw+dj/HvWN2vUSmlVBumgVdDhl0MM34P856FMx5u7tHUKz4mkivGdeeKcd19HrM8v5RHZ+bxyIw8npuznkvH5nLNhO5ktott3EX3F0Pxehh+qX/HV28btKtx11NKKaVaMQ28GhKfBoPPg6WvwQm/hfjU5h5RkwzqbPeWXL2jjMdnrWXaF+t4/usNnDcih86pCV5fM7BTMhN6Z3pt/Mq2hfbWn/ou8NgoW3t5KaWUantCGniJyO3ANYABlgFXAgnAq0AusBH4kTFmdyjH0WSjroFF/4Elr7TIWq/GcPeWvO2E3jwxex2vfLeFiirj8/jBnVO4eUovTuzfnogIjwAsfyEg0Gm4fxeOT7e3OtWolFKqDRJjfP+xbdKJRToDXwIDjDEHROQ14CNgAFBsjLlfRO4B0owxd9d3rpEjR5r58+eHZJx+e/YEOFACN89rcjPVlqi8sopKL4FXRZXhw6XbeGL2OjYV7adfhyRumtyLHwzuSGSEwH8vgN0b4aZv/b/YX3Jh0Llw2gNBG79SSinVUojIAmPMSG/PhXqqMQqIF5FybKZrG/ALYJLz/AvAbKDewKtFGHUNvH09bPgcekxq7tEEXXRkBNE+2mpdMKor5x6TwwdLt/PYrLX89OVFPPjZGi4f040LN35HQYeJLFqc7/e1pkSmsid/C/M9XhMTGcGkvtmto0u/Ukop1Ughy3gBiMitwB+BA8B0Y8yPRaTEGJPqccxuY0yal9deB1wH0LVr1xGbNm0K2Tj9Un4QHhwA3Y6DC15s3rE0o6oqwycrdvDozLWU7VjHl7G38svyK3mx8kS/z/FazG+pNJFcVP7LIx4fnZvOP68cRbtYLT1USinVejVLxktE0oCzgO5ACfC6iFzi7+uNMdOAaWCnGkMxxoBEx9mVe18/CqX5Yetk39JERAg/GNyRUwd1oPDbrfAJXH/xj7gye4jf52j/cU9idq9lxsXHVz+2cNNu7nlrGZc+9y3PXzmalHinz9i6mXCoDAacFey3opRSSoVdKFMLJwAbjDG7AETkLeA4oEBEOhpjtotIR2BnCMcQXCOvhK8ehgXPw5T/a+7RNCsRIat0OUTG0qXvSIgKoB9YWnvY8R09s9pVP9Qzqx3J8dHc/N+F/PjZufznqmNJS4yBLx6wzVY18FJKKXUUiAjhuTcDY0QkQWwfgqnAKuA94HLnmMuBd0M4huBKy4U+J9vAq+Jwc4+m+eUvhI5DAgu6wNmvsRiqqo54+OSBHZh26UjWFOzlomfmUrj3EJRusYsalFJKqaNAyAIvY8y3wBvAQmwriQjs1OH9wIkikgec6NxvPUZdA/t2wvfvN/dImldlBWxfDJ29TmHXLyETTJXdLLuWyf2y+eflo9hYtI+Ln/4KsyffHhfCWkSllFIqXEKZ8cIY8xtjTD9jzCBjzKXGmEPGmCJjzFRjTG/ntjiUYwi6nlNt5mvec3WfMwa2LYJvnoDD+8I+tLDatQrK9/vfONVTdRNV7728xvfO5IUrR1NeugOpqoDKQ1B+oAmDbWN2roL1s5t7FEoppbwIaeB1VIqIgJFXw6avoGCFDbZ2LIcZv4NHhsO0SfC/X9iNtY9m2xbbW3/3aPSU4GyUXc+2Qcf2yODJM7Kr7x8s0073fpvxe3j3p809CqWUUl5o4NUYwy+BqDh476fw+Gh4ahx8+SCkdYMzHoHIWNj1fXOPMrQKV9v3mZYb+Gur92usv3t9v/jS6u+fn7Eo8Ou0VUVr7XS4Ts8qpVSLo4FXYySkw9ALbXF5YrbtwH7HGrjsXRhxOWT2gZ1He+C1FjJ6QkQjGp42MNVYrXRr9bezFq3h63W6zVCDqiph9waoOHj0T3crpVQrpIFXY536N/j5erjyQ1tw3y6r5rmsvrBrdfONLRwK10Bm78a9tnqqsYHpw5It1d/2SangrteXUnawvHHXbCv25EOls+K2ocBWKaVU2Gng1VhRMTbz5U12PyjdDIf2hndM4VJx2O7PmNHIwCsyGuJS/Mt4xaYAcM3INLaXHuB3769s3DXbiqJ1Nd83FNgqpZQKOw28QiGrn70tXNO84wiV3RvAVDY+4wW2pUQDNV6UboUOgwHoFn+In0zqxesLtjJ9xY7GX/doV7y+5nvNeCmlVIujgVcouIHX0TrdWJhnb5sSeCVm1buqEbDNU7P7gUTCwRJumdqbAR2TufftZRTtPdT4ax/NPAOvhj5fpZRSYaeBVyikdYeIaNvryh9VVZC/ILRjCqYiJ/Bq7FQj2AL7/fVMhR0qg4MlkNIF4lPhwG5ioiJ48IJh7DlQwb1vLyOUG7y3WsXrIaWr/b6hjKJSSqmw08ArFCKjbDbI34zXirfgmSmtZyVkYR606wBxyY0/R0JG/YGBu6IxtQvEp1V3ue/bIYk7T+7D/1YU8Pai/MZf/2hVtM5u4xQZq1ONSinVAoVyk+y2LasfbFvo37Gb59rbwtV2aq2lK8xr2jQj1GS8qqpsU9ra3MAr5cjAC+Dq8T34bOVOfvnOcl76drPX0w/NSeW6iT3okBLXtHG2Jm4riT4n289Xi+uVUqrF0YxXqGT1g92b4PD+ho91AzTP+pyWyhi7aCCjV9POk5BpC/QPlnh/vtRpJZGS4wReNcdFRgj/uGAox/fJIj46ss5XVITwwjcbmfjXWfzf28vYUuzHz+Bo4LaSSO9hM4qa8VJKqRZHM16hktUXcIKUTsN8H1dxGHYss98XbwjHyJpmf5ENljL7NO08bhPVfYXe23KUboWIKGjXHuJS60zb5qQl8OQlvveJ3FK8n6c+X8fr87fyyrwtnDO8Mz+Z1JMeWe2aNu6WzA3cM3o6ixc08FJKqZZGM16h4u/KxoLlNQ0vd7eCwMttkRGMqUbwnZUp2QLJnWxn/FoZL390SU/gj+cM5vOfT+Kysd14f8k2TvjH59zy8iJW7yhr2thbKreHV3oPZypXAy+llGppNPAKlfQeNmPT0J6N7jRjlzFQvDG0Y/r2aXjjaqisaPw5gtFKAuxUI/jOypRurVmdF58Gh0ptDVOAOqbE85szBvLl3VO4dmIPZqwq4OSHvuD6/8xn2dbShk/QmhSvt3uIJnVy+qRpjZdSSrU0GniFSlSMrYNqKOOVv9DW4/Q43tY1VYSoP1XFYfj8L7D8DZj9p8afpyjPrphL6dK08TSU8Srdauu7wLaTADjY+EApKymWX5zany/vnsItU3vz9boiznjsS67813cs2LS74RO0BsXrnVYmEZCYAeX7/KsxVEopFTYaeIVSVt+GM175C6HTMTZDhoES76v0mmztZ7Y+q8NgmPMPWDercecpzGv85tie6tuvsarSFopXB15p9vZA0wOktMQYfnZiH766Zwp3ndyXJVtLOffJr7n4mbl8va6wdfcGK1pnfzZQk1HU6UallGpRNPAKpax+tm6r/KD35w+V2cCs8wibqYDQFdgvedkWXF/xkQ0I37oO9u4M/DzBaCUBEBULscneA4Oy7XbFY53Aq6Tp13Ukx0Vz0+RefHn3ZH55Wn/ydu7l4me+5bynvmHW6p01Adimb2DJK8G5aPlB+P5DuzI02NxWEuk97P3EBqZylVJKNQsNvEIpqy+YqppO77VtXwIY6HwMpDuBVygK7PcXw5pPYPD5tunp+c/boO+ta20fLX81dXPs2hIzvW9r49nDC+yqRghKxqu2hJgorpnQgzk/n8zvzxrIjtKDXPmveZz52Fcs+OwVzL/PhLdvOHLz6caa9Qd45WLY6eeOBoHwbCUBHhkvrfNSSqmWRAOvUMrqb2991XnlO4X1nY6x2ajoxND08lrxtv2jPPRCez+7P5z6F1g/G778h//nqd4cu4mtJFy+Nsr27FoPQZ1q9CUuOpJLx+Yy685J/PXcIQza+xWD5/yEdSaHyogoquY+2bQLFK2DuU/Z7/eGYJNvz1YSoBkvpZRqoTTwCqWMnnaDZ191XvkL7Mq9dlkgYrMVoZhqXPIKZA+ADkNqHjvmMhh0Lsz6U03n/IZUr2hsYvNUl6/9Gt3mqcmd7W0YAi9XTFQEP2q3mD+V/5W9aQO4I/EPvF0+lkPz/s2736ygvDKADKGn6b+yQSuEJhjybCUBDS9eUEop1Sw08AqlqFj7h9DX1NK2hXaa0ZWeG/ypxqJ1sPU7m+0SqXlcBE5/CFK72hYT+4sbPpfbwytYU42+9mss3WqDrVin2Wn1qsaS4Fy3PivehtcuRzoNJ/2GD3n79h/Q4aSfEc8hVn7wKJP/PpuXvt3EoYoAWlusnw2rP4SxN9v7oQi8PFtJgK2fi4jWjJdSSrUwGniFWlZf71ON+wrtCkbPwCutu62hakS/Kp+WvAISAYN/VPe5uGQ475+wtwDevanhou+itU3fHNuT2+Sz9nVLttQU1gNERkNMu9BnvJa9YYPQnFFwyVsQl0JEhDB+wmRM94ncnjyT9omR/N/byzn+r7N5ds56pq/Y4fVr/a699pxVlfDJvTbAnXyv7e3mra6tqTxbSYANrLWJqlJKtTgh2zJIRPoCr3o81AP4NfBv5/FcYCPwI2PMUdJIyYusfrD6Y9ufKyq25nG3vquzx7Y36d1tLdaebTX1TU1RVQVLX4EekyG5o/djOh8DJ/4O/vcLyJtuN1j2pXBNcFY0uhIyoarCZrLc6USwGa+0bkceW2uj7KBb+hq8fT10HQsXv1aTbXPI2JuJ+++PeOPUnXwVP5lHZ+bxhw99F8mLwKmDOvDL9nPptHMFnP8CRMeHbg/F4vV198/0VUOnlFKq2YQs8DLGrAaGAYhIJJAPvA3cA8wwxtwvIvc49+8O1TiaXXZ/W9tTtA7aD6h5PH8BINBxaM1jbn3O7g3BCbw2f22zalN+Xf9xo6+1zVVXvO078DLG1ngN+mHTx+VKzLK3+4rqBl654488Nj41qO0kjrB1vl252G0cXPwqxCTWPabXiZDRG5n7OOOvPY/xvTNZv2sv+w/XzU4aA/9bsYM3v15J7Jo/syZuMPuTjrf/MYRiD8WqKlsb2PvEIx9P9DGVq5RSqtmEa5PsqcA6Y8wmETkLmOQ8/gIwm6M58Mrqa293fX9k4LVtoc2GxSbVPObZy6v7xKZfe8nLdoqu32n1HxcZDX1/YOuQKg7brvu1uZtjB6u+C2xgAE4GyMnWHCy12wN5TjWCbSkRiozXob3w5jV2X8gLXvQedIGdwhtzI3z4M7sYodvYejfcHpyTwk8rXyDmu73cdPgS5j7xNRN6Z/JYRAopwQ6G9myFykOQ3vPIxxMy7dS1UkqpFiNcNV4XAi8737c3xmwHcG6zwzSG5pHRy9ZYea5sNMZONXrWd4ENNiKig9NS4vB+WPEuDDgbYhIaPn7AmTbo2fiF9+eDtTm2J2/7NVb38KoVeIVqqvGTe2xwcs7TNUX8vgy9yI7jm8caPm/ROmLnT0OG/5hn77mGX5zaj1Xb9zB7q2F/SZDbSbi/L27G1JWYpfs1KqVUCxPywEtEYoAzgdcDfN11IjJfRObv2hWCYuRwiY6HtNwjA6+SzTbL02n4kcdGRNrapmCsbFz9ERwuq+nd1ZAekyEmCVa+6/35YG2O7clby4PazVNd8WnBX9W46n1Y9B8Yfzvkjmv4+JgEGHmV7T7fUHA8/Ve2pm/Kr2gXG8X1x/fki59PxsRnULW3kOJ9h4PzHqCmlURGrYxXYob9HQjV/p9KKaUCFo6M16nAQmNMgXO/QEQ6Aji3XvetMcZMM8aMNMaMzMrKCsMwQyir35ErG7d5Kax3pXUPTi+vJS/b4KWbHwEFQHScre/6/kOorKj7fOGa4GyO7clrxsvp4VUn45VqM17B2m5nz3Z476e2xm7SL/x/3ahr7crEb5/2fYzbPmLCzyCpQ/XDCTFRHDekH+3Yz31vLQjevpC1W0lUX1CbqCqlVEsTjsDrImqmGQHeAy53vr8c8JFiOYpk9bOtGCrL7f38BRAZA+0H1T023Wkp0ZQ/ymU7YN1MGHJBTXsBfww409Zybf667nNFa+20aVM3x/YUHWdr0GpPNUZEQ7v2Rx4bn2ZXfJbvb/i8i1+Gec/aejVvqqrgnRvt3ok/fNZ7TZsvyR1t49mF/6lb7L9nm20d8fJFtn3EmJvqvDy7g20K+92KPN5bss3/69andisJlzZRVUqpFiekgZeIJAAnAm95PHw/cKKI5DnP3R/KMbQIWf1s2wR3Sih/EXQY7P0Pflp3OLSnaXvsLXvd7hHp7zSjq9eJEJ3gfbqxMC94Hes91e41VboVUjrXDSIC2Sj701/Dh3fA46Nsb67a+1F+9zSsnwUn/xGyGrH90difQPk+WPhve794Pbx/Kzw8FL59CvqfCZe9awPL2pyVnOM7wa/eWc6OUh8bqAeieH3d+i7QjJdSSrVAIQ28jDH7jTEZxphSj8eKjDFTjTG9nVs/Wqa3cp4rG6sqYdsiuz+jN+4f0KZMNy55BTqPDLweKyYBep0Aqz44MlgJ9ubYnmr3mirZ4n06099tgyoO2walfU612bQ3r4ZnJtvpP4CCFfDpb6DPKbZeqzE6DoXcCTbIevMaeHQELP4vDL8EblkIP3zaeyAE1VmoO8dlUF5puOuNJU2bcnRbSWR4uZ7u16iUUi2Odq4Ph8w+gNg6r8I1Nlvirb4L7FQjNL7Afut8KFgOwy5q3OsHnGU3cd76Xc1jwd4c25PXjFdO3ePiUu1tQ4HX3h2Agb6nwvVfwNlP2ezhv8+C//zQBkpxyXDmY0duoRSosTfBnnz4/iP7/W3L4PQH7UKK+jgZrw5RZfzfaf2Zk1fIi99ubvw49uQ7rSS8Zbw823UopZRqCcLVx6tti0mwNT+7vod8J6io3UrCldoNkMZnvOY+AbEpMCTAaUZX75NsEf3Kd6HrGPtYdSuJEEw1JmTC9qX2+8oKKNvWtIzXnu32NrmzrUcbdhEMPAfmPQNf/N2ujLz4NbsxeVP0OQUuedNmLhPS/X+dGwztK+THY7syfWUBf/pwFeN7ZdI900cPsfoUu5tj96z7XFyqs0WRBl5KKdVSaMYrXLL724xX/gLbtsHXtF10nG3m2ZheXqX5sOIdOObSOlve+C0uGXpOgZXv1RT4u60kQjHVmJhhpwaNgbLttjbNW8bLDbwaaimxJ9/eem6RFB0Hx/0Ubl0M186sf1skf4nYadlAgi6AuBRn8+pdiAh/PXcIMVER3PHaYioqqxp+fW2+eniBrZML1RZFSimlGkUDr3DJ6gtFeXYKr9Ow+lcbpvdo3FTjvGcAA6Ova+worQFn2m7o7n6Swd4c21NiFlSV2wUFvlpJQE1z04YyXmVuxqtT3efi03xP8YZLrc2rO6TE8fuzB7Fwcwm3vbqYjYX7Ajtf0TrbSiK5s/fnEzK1iapSSrUgGniFS1Y/2w5hx7KG//in5QY+1Xh4Pyx4HvqdXneD6UD1PdVOUa1yVjcGe3NsT54r73w1TwVbKB8R5cdU4zaIiq+pCWuJEo9cUHDm0E7cMqUXn64sYMoDs7ntlUXkFZT5dy5frSSqr6UZL6WUakk08AoXd2Uj+K7vcqV3h3077T6C/lr6qg1KxtzYuPF5ik+D7sfXTDcW5oUu8KruNVXkkfHykr0RcbYNKqn/fHu22WnGphTOh1rtlZzAz07qy5y7J3PNhB5MX1nASQ99wY0vLmDFtlIfJ3H4aiVRz7WUUko1Hw28wiXTM/BqKOMV4MpGY2Duk7bNQdexjRtfbQPOtNdfPyv4m2N78ig2p3Srve9ro2p/Nsou2+572q2lSMzymoXKTorj3h/058u7p3Dz5F58mVfIaY98ydXPz2PRZi/vu75WEtXX0sBLKaVaEg28wiW2HaR0hcTshgODQHt5rZsJhathzE+Cl+npd7rd3HvOP+z9ULSSAI9eU7t8t5Jw+bNR9p58SOpY/zHNrYFgKD0xhjtO6suX90zhjhP7sGDzbs554msuefZb5q73qNeqr5WEKyETDpX67uKvlFIqrLSdRDgNPtfeNhQcBdrLa+6Tdoudgec0fmy1JWbafR43zrH3Q9FKAmpqvPYX2uaptTd69hSf5vTp8qGqym6X5K2wviVJzITDe6H8gN1E3YeU+Gh+OrU3V43vzkvfbmLaFxu4cNpcRuemc/OUXkyIXIeA91YSntcCO5Wb3MIDUqWUagM08AqnE+7z77i4FIhP9y/jVZgHaz+FSfdCVGyThlfHgLNs4BXszbE9xSRAdKJdeVe6BXoc7/vY+DTYtcr38/uL7AKGlh54eS4oSG34c02MjeK6iT25bGwur3y3mae/WM9l//yOuzK+5ibgT3MPUbJwidfXDirdy2XAg+9+zfb4XsRGRfKzE/uQlhjA/pRKKaWCRgOvliq9h3+9vL59ym643djtb+rT73T46K7gb45dW2KGbQR6eG8DU42p9RfXlzmbTrf0wMtz82o/Ai9XXHQkV4zrzkXHduWthflEz3iNQ0TzwUbBiPepy7Iq4TJgw+ZNzItIZceeg0RHRvDrMwYE4Y0opZQKlF+Bl4ikAZ2AA8BGY0wjOj2qgKR3hy3f1n/Mgd12j8DBP2p6J3ZvkjvarFdq1+Cf21NCJmxbbL+vL7MWn2b7fVVWQKSXX123a31SSw+8nJ9VI4veY6MiuWh0V1hXDsU9+fqmE30fvCsHHv8Vj5zZFQZP5a7Xl/Dit5u4dmJ3Oqb4nuZUSikVGj6L60UkRUTuFZFlwFzgaeA1YJOIvC4ik8M1yDYprbstNq+vKHrhv6F8P4y5IXTj+NELcNLvQ3d+sBkgt3arocAL4KCPFgveuta3RJ4rOZuieF399V1w5LQmcMvU3hhjeGzm2qZdWymlVKPUt6rxDWALMMEY09cYM94YM9IY0wW4HzhLRK4OyyjbovTudvsct7dVbZUV8O00yJ0AHQaHd2zB5gYHUP9UY0MbZZdtB4m0Cw1asuqM167Gn8NtJeEuxPAlPs2uTnXaV3RJT+CCUV14bf4WthTvb/z1lVJKNYrPwMsYc6Ix5j/GmBIvzy0wxtxmjHkupKNry6pbSvio81r5jt3WJxgNU5ubW/MUGVMTlHjT0EbZe7bZoCuU9WjBEJtk32tTOsoXLLetJNoPrP+4iAi7UMMjyLt5cm9EhEdm5DX++koppRqlwT5eIjJORBKd7y8RkX+ISBP3pFENcpuoelvZWFYAH98N7QdDn1PCO65QcAOv5M7172HZ0EbZe7a1/MJ6cPZrzGraVOOaTwBno+6G1LpWh5Q4Lh3TjTcXbmX9rgB2R1BKKdVk/jRQfRLYLyJDgZ8Dm4B/h3RUCtpl2zYLtXt5GQPv/sSuADz32Zaf3fGHO9XY0Aq/hjbKdrcLag0SMpoWeK3+2O6A0C674WMTM22rDQ83TupJbFQkD32mWS+llAonfwKvCmOMAc4CHjbGPAwkhXZYChHvm2V/+zSs/QxO+gNk92uWoQWdm/FqqFdYQ1ONrWG7IFdiVuNrvMoKYNtC6OtnttNLkJfZLpYrx+Xy/tJtfL9jT+PGoZRSKmD+BF5lIvIL4BLgQxGJBKJDOywF2MJpzxqvghXw6a/t9OKoa5pvXMHmZrzqK6wHj+L6krrPHSqzrSZa+nZBrsTMxtd45f3P3vY5tUnXum5iD9rFRPHgp2saNw6llFIB8yfwugA4BFxtjNkBdAb+FtJRKSu9O+zeaFewlR+AN6+xXe3PfCx4ezK2BCk5djViQ/tBRkZBbLL3jJfbw6s11HhB02q8Vn8CyTkNF9a7EjLtZ1ZZccTDqQkxXDOhB/9bUcCyrT5adCillAqqegMvJ7v1ojHmH8aYOQDGmM3GGK3xCoe07nblWtl2+PQ3sHMlnP1kaJqlNqek9nDzPBj4w4aPjUv1Hni1lq71roQM24Pt8L7AXld+ENbPstOM/gbf7lTugeI6T101PpfUhGge+HR1YONQSinVKPUGXsaYSmxhfUqYxqM8uT2avnvafh17I/T2YxVba5TRs/4Vja74VB8ZLyfwajVTjY3sXr9xjg3Y/J1mhHobtibFRXP9xJ7MXr2LBZvqBmZKKaWCy5+pxoPAMhF5TkQecb/8ObmIpIrIGyLyvYisEpGxIpIuIp+KSJ5zm9a0t3AUc3t5ffUwZA/wf5Pto1l8mvd2EntaWcbLc7/GQKz+2K52zR0fwLXqb9h6+XHdyGwXwxOz1gU2FqWUUgHzJ/D6EPgV8AWwwOPLHw8Dnxhj+gFDgVXAPcAMY0xvYIZzX3mTnAMRURAZC+c+B9FxzT2i5ucr41W23QZl0a1k/8HGZLyMgTX/g56TA/tdaCDIS4iJ4twROXy+Zhcl++vZokoppVSTNbhJtjHmhcacWESSgYnAFc55DgOHReQsYJJz2AvAbODuxlzjqBcZZTvTdxgK7Qc092hahvg031ONraWVBDRuv8Ydy+xuBZMC/LdK9X6NRT4POWNIJ57+fD2fLN/BhaNDvCm6Ukq1Yf50ru/tTBeuFJH17pcf5+4B7AL+JSKLRORZpwN+e2PMdgDn1o8OkG3YSX+AIec39yhajvg0207CmCMf37Ot9dR3QeP2a1zzP0Cgz8mBXSsh3b6unmnNgZ2S6Z6ZyPtLtwV2bqWUUgHxZ6rxX9ju9RXAZGzX+v/48boo4BjgSWPMcGAfAUwrish1IjJfRObv2tWEzYTV0SUuFarK664GbE1d6wFiEiEqLrAarzUBdKv3FBFpA9Z6smsiwhlDOvLNuiJ2lh0M7PxKKaX85k/gFW+MmQGIMWaTMeY+YIofr9sKbDXGfOvcfwMbiBWISEcA53antxcbY6YZY0YaY0ZmZR1l7RNU43nrXl9x2GaOWtNUY6D7NZYVQP6Cxu/N6UfD1jOGdqLKwMfLdjTuGkoppRrk16pGEYkA8kTkZhE5Bz+mB51mq1tEpK/z0FRgJfAecLnz2OXAu4EPW7VZ3jbK3rsDMK1rqhEC26/R7Vbv7zZBda6VWW+NF0Dv9kn065DE+0t0ulEppULFn8DrNiABuAUYgd066PL6XuDhp8BLIrIUGAb8CbgfOFFE8oATnftK+cdbxqu6a30rynhBYPs1rvmf061+UCOv5d8WRWcM7cT8TbvJLznQuOsopZSqV4OBlzFmnjFmL7DbGHOlMeZcY8xcf05ujFnsTBcOMcacbYzZbYwpMsZMNcb0dm61a6PyX3yqvfUMvKq71reyjFdiJuyvPwsF2G7162baovrGbhWVmOlXkHf6EPsZfqhF9kopFRL+rGocKyIrsT24EJGhIvJEyEemlDdeM16trHmqyw2Gaq/QrM3tVt83gG71tSVkwv5iqKqs97BuGYkMzUnh/SXbG38tpZRSPvkz1fgQcDJQBGCMWYLtz6VU+FUHXiU1j+3ZBlHxdsVja5KQCRUHG96vsbpb/YTGXysxEzDee6DVcsbQTizLL2VDYYD7SCqllGqQP4EXxpgttR6q/5/NSoVKdAJERNfNeCV3bPw0XHNxO8rXNwXY2G71tQXQsPU0Z7rxg9ZaZL9tMbx5LVRWNPdIlFKqDn8Cry0ichxgRCRGRO7EmXZUKuxE6navL9ve+grroaaJan11XgXLbbf6QJum1rmW/3tDdkyJZ3Rueuttpvr9h7DsNSjZ1NwjUUqpOvwJvG4AbgI6Y3tzDXPuK9U8am+UvSe/9bWSAI+tfOrJeOVNt7e9mxh4VV/Lv/YVZwztyJqCvazeUda06zaH0q32tmRz845DKaW88CfwqjLG/NgY094Yk22MucQY48dSLKVCxHOjbGOgbEfrK6wHj6nGeoKhTV9DVn9Iat/Ea7nZNf8Cr1MGdSRCaJ09vUqdyggNvJRSLZA/gde3IvK6iJwq0tqKaNRRyXOqcX8RVB5u3YGXr2CoqhK2fAddxzT9Wgnp9raBJqqurKRYjuuZyftLt2EaWnXZ0rgBV2nt0tRGKCuAF86EXWuafi6llMK/wKsPMA24DFgrIn8SkT6hHZZS9YhPgwOl9vs9+fa2NQZeMYl2sYCvjFfBCji0B7od1/RrRUbbVZ8BbMp9xtCObCraz7L80qZfP1yqKmt+J4KR8fr8ftjwOayb0fRzKaUU/jVQNcaYT40xFwHXYLvWfycin4vI2JCPUKnaPDNebtf6pFYYeIGzlY+PwGuz06c4GBkv8Lt7vevkgR2IjpTWNd24twCqnNWMTQ28itbBghfs94V5TTuXUko5/GmgmiEit4rIfOBO7DZAmcAdwH9DPD6l6opLhcNlUFnukfFqhcX1UH9H+c1f222CUrsG51r1BXlepCbEMLF3Fh8s3U5VVSuZbixxphcTs2q+b6yZv4eoOEjvCUUaeCmlgsOfqcZvgGTgbGPMacaYt4wxFcaY+cBToR2eUl5Ub5RdaltJSCS0a2LxeXPxlYUyxma8gpXtqr5WYOtizh7eme2lB5m+ckfwxhFKbl1Xt+PsVlIVhxt3nm2LYMXbMPYmyBkFhWuDN0alVJvmT+DV1xjze2PM1tpPGGP+EoIxKVU/z22D9my3QVdEZPOOqbESs7xnoUo22aAymIFXQobvjNeBEq8d9E8d1IEeWYn849M1VLaGrJc7vdj1ODBVNRnRQH32W/t5HfdTyOxlg7hDe4M3TqVUm+Uz8BKRaSIy2HhZ0iQiiSJylYj8OLTDU8oLz42y9+S3zsJ6lxsM1f7PbNM39jYYhfWuxCyb8aqqqnnsQAl8dh880Bfe+2mdl0RFRnD7CX1YU7CXD1pDQ9XSLTYwz+5fcz9Q62fD+lkw4U6IS4aM3vbxIs16KaWarr6M1xPAr0RkldNO4gkR+aeIzAG+BpKAN8IySqU8eWa8yra33vousMFQ5SE4VKtR6eZvIDbF9vAK2rUywVTa5rPlB+HrR+HhofDlQ3aF5dZ5Xl922uCO9OuQxEOf5VFRWeX1mBajdCukdIHULvZ+oAX2xthANKULjLzKPpbpLOLWwEspFQQ+Ay9jzGJjzI+AUcDjwBzgPeAaY8xQY8zDxphDYRqnUjU8N8res611bhfk8tXLa/M30PVYiPBrO1X/uN3rv5sGj46A6b+EnJFw/Rcw5ic2SKkdAAIREcLPTuzDhsJ9vLWokVN34VKyxS5GSM4BJPDAa+U7tr5r8r01e2Om97DnKtReXkqppvOnncReY8xsY8zLxph3jDGrwzEwpXyKS7W3pZttn6vWuF2Qy+0o71l7ta/Q/pHvGuRuLYnORtmz/wztsuCy9+CSN6HjEMgeYJ/b5f0/7xMHtGdITgoPf5bH4YoWmvUyxk4tpnSBqBg7BR3IysbKcpjxe/tZDLmg5vHoOBvMaUsJpVQQBPGf00qFSVyKvd3p7NXe2mu84MjAa8u39jbYgVfnkTD4fDj/ebh2FvQ4vuY5tyZq50qvLxUR7jipL/klB3h1fhA6wofCgd1weG/NNGNq18AyXov+A8XrYOqv6y7WyOytLSWUUkGhgZdqfSKjbP1TgRMktObAqzrj5dHLa9PXEBkLnY8J7rXikuHcZ2HgOVB796/UbraLfoH3wAtgYu9MRuWm8djMPA6WVwZ3bMHgbo6dkuPcdvE/8Dq8H2b/BbqMgT6n1H0+o7dtqFrVQrN9SqlWw+/AS0QSQzkQpQISn1qTgWjVU41earw2z7VBV1Rs+MYREQFZ/XxmvKAm61Ww5xAvzt0UvrH5y13BmOKR8dqTD5UVDb92/nOwdweccF/doBRsS4ny/bathFJKNYE/neuPE5GVwCrn/lAReSLkI1OqPvGpNVvDtOaMV3Q8xLSrmWo8vA+2Lw5u/y5/ZQ+omb71YUyPDMb1yuDJ2evYd8iPgCac3Hout9N/ale7itOfYGnDF/b9d/Mxveu2lNA6L6VUE/mT8XoQOBkoAjDGLAEmhnJQSjXIXdkYn2aDl9bMs7Fp/gIbUHYNYv8uf2X3h307G9xW6Gcn9qVo32Ge/3pjeMblr9ItEBVfUzcXSEuJghXQYbDv5zO1l1fI6TSuaiP8mmo0xtSupm2BBR6qTXEDr9bcSsKVmFVT47V5LiDQZVT4x9HeWdnYQNZrRLc0pvTLZtoX69lzsDwMA/NT6RZb3+VOFaZ2s7cNrWzcX2ynJN2Vnd4kdbSZyXBnvIyBb56oqV87Wm1fCn9sD8Xrm3skSoVclB/HbBGR4wAjIjHALTjTjg0RkY1AGTZQqzDGjBSRdOBVIBfYCPzIGLM78KGrNs1tKdGa67tciZk1W9ts+toGAG5gGU7ZHoFX9wn1HvqzE/tw+qNfMuS+6V5LorKTYrl6fHd+fGw3EmP9+d9MEJRsqclyQU2RfUMZL7eurf0g38eIQEav8K9sLN0K//uFrQGc+uvwXjuc8udD5WEbeKX3aO7RKBVS/vwf8QbgYaAzsBWYDtwUwDUmG2M85y7uAWYYY+4XkXuc+3cHcD6lPDJeR0ngtX2JLQLfOg+GXtg842jX3n6u9RTYuwZ1TuGhC4axfpf3/QsXbN7Nnz76nidmr+Pqcd25fFwuyXHRwR7xkUq3HDldGBUL7To0HHi5KznbD6z/uMzeTkYyjHZvsLfbl4T3uuHmZroOljbvOJQKgwYDLydoCuaejGcBk5zvXwBmo4GXCtTRNNWYkGnrqnYstX2ogt2/y18ifhXYu84eXv9nv3Dzbh6fuZYHPl3DtDnrueK4XK4a1520xJhgjPZI5QfsdK1nxgtsgX1pQ4HXcohPh6QO9R+X0RuWvW5bT8QkNG28/tq90d5uW2ynHb2lF48GxU6AeXBP845DqTBoMPASkUe8PFwKzDfGvNvAyw0wXUQM8LQxZhrQ3hizHcAYs11EsgMdtFLVG2UfLVONVeWQN93eb44Vja7s/rD09aD8kT+maxrPXTGK5fmlPD5rLY/OXMtzX27gkjHduGZCd7KT4oI0aKDUmapN8RJ45c+v/7UFK2y2q6H3m9nL3havq78QP5jcwGt/od0eKyVE/9A4vB82fgm9T2ye4M7NeB3SwEsd/fwpro8DhgF5ztcQIB24WkQeauC144wxxwCnAjeJiN+rIUXkOhGZLyLzd+3a1fALVNtyNGW83Caqqz6AlK41tUnNIbs/HCqtqTkLgkGdU3jykhFMv30iJw5oz7Nz1jPhL7O4770VbCs5EJyLuFmtOoFXF1snVeVjPVBVlc3wNTTNCM3TUqJ4A4jzv+nti0N3nWWvw3/Ph01fhe4avlRVacZLtSn+BF69gCnGmEeNMY8CJwD9gXOAk+p7oTFmm3O7E3gbGA0UiEhHAOd2p4/XTjPGjDTGjMzKyvL3/ai2outYGHRu86z+CzZ38+qCZc2b7YIjC+yDrE/7JB6+cDgz7pjEWcM68eLcTRz/t1n84q2lbC7a37STV/fw8pLxqqqAsh0+XrcRyvf5GXj1tLfhbCmxeyN0OdYGX6Gs8ypeZ28XPB+6a/iydwdUOAG4ZrxUG+BPcX1nIBE7vYjzfSdjTKWIHPL1IqfTfYQxpsz5/iTgd8B7wOXA/c5tQ9OVStWVmAnn/bO5RxEcbvd68N3AM1w892zsfWJILtE9M5G/njeUW6b25unP1/PqvC28Nn8rQ3JSiIqoO80VFx3JeSNyOG1wR6IiffxbsXSLDU6SajXTdZuplmz2Pk1XsMLe+hN4xSRCck54M167N9gtng6U2DqvkF3H2Ylg5XtwajEkpIfuWrV5tpDQjJdqA/zJeP0VWCwi/xKR54FFwN+dYOqzel7XHvhSRJYA3wEfGmM+wQZcJ4pIHnCic1+ptssz8GquwnpXfJoNXkKQ8aotJy2B3589iDl3T+bq8d2Jj44kOjKiztfW3Qe49ZXFnPCPz3lt/hbKK7002izdascdWevfkikegZc3BSsAgaz+/g06M4wtJQ6U2I2/03Kh07DQZrxKNtnPqvIQLHkldNfxxg28YpM146XaBH9WNT4nIh9hpwkFuNedQgTuqud164GhXh4vAqY2brhKHYXcqca4VMjs26xDAWzWy4+WEsHSPjmOe3/gO/CpqjJMX1nAozPz+PkbS3n4szxumNST80fkEBcdaQ+q3cPL5T7ma2VjwXLbN8rfVYqZfWDxy+FZYegW1qd1h8gYWPKynTJtaPVlo661CQacBTuW2enGMTeGr8i+eANERNvfO814qTbA386GB4Ht2EL7XiLSyxjzReiGpVQbEh1n/7XfdazdrLq5ZfeHec/agvSIyOYeDRERwimDOnDywPbMXr2LR2bm8at3lvPYzDyO7Z6BCPx621o2xA/iP68sqvP630emsXzBIl7dVve5/1u3iG1xPfiXl9e5YqMiuOH4nvTIamcL7A+Xwd6C0ARAnqoDr9yaBRjblwT/uofK4EAxpHWzm7O/91Pbryxc097F6+2149Nhz1HeoV8p/GsncQ1wK5ADLAbGAN8AU0I6MqXakh/8HbL6NPcorOwBUHHQ/uF3C8qby7I34LPfwmXvIBk9mdwvm0l9s/hmXRFPfr6OpVtLiDCVpJTvYhWpLNlSUucUW00mMWVbWVJx5HNx5iCZ5fl8wASvr3PtKjvEzO938d9rj6WP21KicE14Ay+JAMTWefU5ObjXcadhU7tB75Pgk3th4QvhDbzSe0BcMuzUjJc6+vmT8boVGAXMNcZMFpF+wG9DOyyl2pihFzT3CGp4Ftg3Z+D1/Ufw1nVgKmHV+zD+NgBEhON6ZXJcL2eKtjQfHqzk0pPHc+nIyXXP8/og2L6U2bfUem7rAnjWcNUPT+Oq/l5e51i7s4yLn/mWC6fN5ZULcugDtsC+u9/dcRpn9wa74Xdcsr2f2Ts0dV5uYX1qN4htB0POh8X/hVP+HPqtq4yxU43djrMZVu1cr9oAf+Y1DhpjDgKISKwx5nugBRSiKKVCIqsvIDVb6TSHdbPg9cuh41C7R+L6Wb6PLXVaSdTu4eVK7WqPqapVlL/TvxWNvbKTePX6scRGRfCj/26iKjIuPC0ldm+02S5Xx6Gh6eVV4gReac6m4iOusBnPpa8F/1q17Su0U7dp3W2AeajMBmNKHcX8Cby2ikgq8A7wqYi8C2yr9xVKqdYrJtH+wQ9jgf0RNn8Lr1xs66kueRN6nwybvrHbAnnjq4eXK6WL3YB5b8GRjxesgOhESM1tcEjdMxN57fqxtIuPYU1Fe0q3hOGzKd5gAxJXx6G2se3eIDeU3r3Jfg4JGTXX6TjMFtmHOghyVzSm97B1jqYSDu8L7TWVamYNBl7GmHOMMSXGmPuAXwHPAWeHeFxKqebUfmBYWkrUsW0xvHS+3Qrq0rdtP6meU2ybg01fe39Nddd6Hx3/U51MjpsZcxWsgPYD/F7Q0CU9gVevH8u2qBxKt67i2/VFfr2uUSrLbYuMIzJew+xtsKcbSzbbbJfnKsYRV9jAe2sD2y01lWfg5U6paksJdZQLaAmVMeZzY8x7xpjDoRqQUqoFyO5vp9MqfPZIDr6d38OLP7R/gC97F5La28e7HWfbKayb6f11pVtttiYm0fvzqV56eRljW0n40zjVQ+fUeEaPPJbOsotr//U1X68tDOj1fivdYrM/6Z4ZryH2NtjTjSWbaoJT1+DzbBYs1J3si9fbhQOpXW3GC7SlhDrqtYC160qpFie7v/3DH64u7cUb4D9ng0TaoMtz2jAmwW6ltH6299eWbKl/f0v3XG4tE9h+WAd2Q3ZggRdAu84DiKSKY1NK+Ml/F1Kw52DA52iQ54pGV1yKzQwFM/Ayxk41usGpKzbJBl/L3wxtwXvxejsVHBVj3x80PeNlDPzv/yB/QdPH19LtC1Hgr0JKAy+lVF0h3LPRq4/ugvL9cNk73ldS9phsM1RlBXWfK93iu7AebCYsIePIjFcgWwXV5rSU+P34WA6WV3L3m0sxwa6F8hZ4gVNgH8SpxgO7neL2bnWfG3GF3UNx2evBu15tbisJqAm8mprx2lsA3zxmV2YezbYvgb/1gi3zmnskKkAaeCml6krvabuJh6PA/vA+2PA5DL/UdyDU02kbWDvrZYzTtb5rnZccIbVrTRE+2CAObI1XoDJs4NWhfAu/OLU/s1fv4uXvtjTwogAVb7DTq7X3nuw4zAaQ+4uDcx03wKs91QjQaTh0GAzznw9dkb1n4OVONR5qYoZt12p72xw1iuG0bhZgoHB1c49EBUgDL6VUXVExtm9UOP54bfjCrjqsb1PuDkNs1qp2ndeB3VC+r/6MFziBV62MV3JO4/pUxSbZ4v/CPC4d043xvTL5w4cr2VQUxNV4uzfaYKh24X9HZxe2YGW93M/EW8ZLxGa9CpbBtoXBuZ6n/cVwsMQj4xWkGq/CNfZ256qjuzXF5rn2tmx7845DBUwDL6WUd+HaszFvOsS0q3+D8IgI6DHJ9vPy/GNa3cOrnhovsIFZ6Zaa1+5c2bhslyujFxTmEREh/PW8IURGCHe8toTKqiD9od+94cjCeld14LU4ONdx6958ZQwHn28zbyvfDc71PBVvsLe1M15NrSlzA68DxbB3Z9PO1VJVVcEWN/Da0bxjUQHTwEsp5V12f/uH+VBZ6K5hDOR9aoOqqNj6j+0x2dbveAaDDfXwcqV2s01B9+2CisN2Oqox9V2uzN5QlAfG0Ck1nt+eOZD5m3bzzJz1jT+nyy14r13fBba9RmrX4GW8dm+ym7O79VW1xaVAcme7O0CwebaSAFuLJ5FNL67ftRoinE1ZmqsXXagVrrHZXoA9mvFqbTTwUkp556742xXCGpJdq20mqtcJDR/b09nWx3O6sTrj5UeNF9iptaI8qCqH9oMCH68ro7fNzDirys4Z3plTBnbgH9PX8P2OJgYOB3bb4CPNS8YLbJ3XtsVNu4arZJP3aUZPyZ1CM51VvB6QmgBTxE7jBmOqsfvx9vtd3zftXC3V5m/sbVquTjW2Qhp4KaW889yzMVTyptvb+uq7XCk5kNnHKSp2lGyB6ASbCaqPZ0uJpqxodGX2trdFtt2GiPDHcwaRHB/F7a8u4XBFVT0vboA7Bect4wV2unH3BjhQ0vhruHZ76eFVW1KH0AVeyZ0hOq7msbjkpmW8Du6xY80dD/HpR2/Ga/M3kJgF3cbpVGMrpIGXUsq71G42qAllgX3edJtZa6hGy9VzCmz6Csqd3lmlTg8vz67r3rjF9yVbbOAVEV29OrFR3Nd69DnLaBfLn384hFXb9/DAp6sp3V9e9+tAecOtJ3Y3EHh1GmZvdyxt/PjBTmmWbmk445XU0U5nBbtQvXh93Tq22JSmZbzcn0dWX9sSZedRnPHqOsb+bPYW2A3GVasR1dwDUEq1UBERkNUvdFmDg3vsH5CxN/v/mh6T4dunbGFxj0kN9/ByxSXbFYwlm+1XVj+IjG700EntCpGx1Rkv14kD2vOjkTk8/fl6nv7ce73XCf3b89jFw4mLjvR+7oYCL8+tg7pPDHzsrr0Ftu6twYxXR9vP62ApxKc2/nq1Fa+Hfqcd+VhTM15uYX1mH8juZzf6NqbhwLw1Kc23v8PH3mhXH5tKO+Xt7vSgWjwNvJRSvmUPgLWfhubc62dDVQX0Psn/1+SOt9mqdTNt4FWypWalX0NSutg/WAUrmhawAERE2kavy9602yplD7BTl1n9+N1ZgxjRLY19h+pmIQrKDjLti/Vc++/5TLt0JPExXoKv3RuhXXvbsd+bxEzbCqOpdV673RWNfkw1gp3SClbgdbAU9hfWFNa74lKO7LcWqMLV9vcjLddOlR/aYzcW9zej2hq4qxm7jqmZAi7bpoFXK6KBl1LKt+z+sPhFKFrnvaN8U+RNt1NLXUb7/5rYdvb4dbPg+P32j7c/GS+wWaqt82HvjqbVd7mOuwXmPQuLXrK9xBxxKV25oPNwOPtJr/tH9spqx8/fXMoV//qOf14xisTYWv8bLt7ou7DeFYwO9m4rCX+K68H+cc/u17Rrumq3knDFJjetgequNfackdGQ5dYorjq6Aq/Nc+0+mh2GAM70r9Z5tSpa46WU8m3g2TY4evsGqKwI3nmNgbWfQc9JgU/59Zxs65vcXlZ+B17dbNAFwQm8hl0E186AX2yFW5fCRa/A1F9Dh0G275XnIgAP54/swkMXDGP+pt1c9s/v2HOw/MgDdm/0Pc3o6jjUbmLurdVHxSHY+FXDNVm7G+jh5fLMeAVL7VYSrrjkJtZ4rYGsPvb7bI/A62iy+RvIGQmRUXYaGHRlYyujgZdSyreUHDj9H7D1O/jir8E7b8Fy+8cikGlGVw9n+6BFL9rbhnp4uTyPC0bg5YqIsFmjvqfChDvg/OchKh42zvH5krOGdeaxi4azZEsJlz77LaX7neCr4pCdGmso8Oo0DDCwY1nNY5XlsOB5eOQYeP4H8P2H9Z+jZBMkZkN0fP3HuX/c92yr/7hAVAdetYvrnRqvxhTyVxy2583sa+8npNsp26Mp8DpYaqfK3WbDidkgEZrxamU08FJK1W/weTD0Yvjib7Dpm+Cc020j4U//rto6DbNNP1e8be8HMtUIduuhdiGsh4mKha7HwgbfgRfAqYM78tQlI1i1vYyLnplL8b7DzhY+xnvXek9uXdu2xXZF2+KX4bGR8P6tkNzRTkWt955xq+ZPDy+wgVlcapAzXhugXYe6U7FxyWCq4PDewM+5e4MtNM/sU/NYdn/YdRQFXlvn2c+n6xh7PzLKBl+a8WpVQh54iUikiCwSkQ+c++ki8qmI5Dm3jdgsTSkVVj/4q52qe+va4PSPyvvUBg/uNFYgIiJtYX35ftvp3M3INMQNvNoPDP0qt9wJsHNFdYNVX04Y0J5pl41g3a69nPfk18xb5OyJ2FDGK6mDDVyWvgpPjIF3brDZootfg6s/hW7H2T0w6+NPD6/q63UM7h93b60kwGPboEZMN7qNfrM8Aq+s/vbxqib0VWtJNs+1v/M5o2oeS+qgGa9WJhwZr1sBz39y3APMMMb0BmY495VSLVlsEpz7rJ1u+vBnTevpdGA3bPm2cdOMLreLfXJn+69+f7iZsewgTjP64q6a3Phlg4dO6pvNC1eNxgDvz/4KgE+2xVFR2UCw0Gm4rXOTSPjRf+D6L6DPyTao7D7B1jv52k6msgJKt/qX8QKbRQt64NWj7uPuRtmNaSlR6AReGb1rHsvubwN0dyFBa7d5LnQcYheZuNw+a6rVCGngJSI5wGnAsx4PnwW84Hz/AnB2KMeglAqSnJEw+V5Y/iYseaXx51k3006XNCXw6uEEXoGsVotPhdP+Acde1/jr+qvTcDvdV0+dl6cxPTL47GfHc1k/OEgMN7yzlRP+8TmvzdtCua8A7OQ/2oL+G7+CAWcemcVrKPDbk2+n5QLKeAUpq3J4n13k4DXj5ewZ2ZiMV2GebbPhGZQEo8B+63z71dwqDtupxtqbyYdqZwEVMqHOeD0E/Bzw/D9He2PMdgDnNjvEY1BKBcv426HbePjoTttiojHyPrPNTDuPaPw40rrZRqL+9vByjbrae6Yl2CKjodvYBuu8jnhJhNArahexWT156pKRtIuL4udvLmXS32bzn7mbOFheqy9YRk9b0B/hpRdYhyG2J9aGz71frGSzvW1oRaPLnc4KRof03RvtrdeMlxN4NSbjtWv1kdOMYBvlQtPqvN6/zf6+N7ftS2zDW7e+y5XU0bZVqTjcPONSAQtZ4CUipwM7jTELGvn660RkvojM37VrV5BHp5RqlIhI+OHT9vata+1KukBUVdmGrD2neg8YAnH1dJv1aalyJ9jpr7IC/1+zeyOS3p1TBnXg/ZvH868rR9E+OZZfvbOciX+dxbNz1rP/sB9tPSIibYDsK+Pmbw8vV1LHmg7pTeWrlQTUTDUeDLCXV1WVzXhl1gq84pJtFqyxGa/D++3ODUXrg79lUqDcjbG71A68nDrJvQH8nqlmFcqM1zjgTBHZCLwCTBGRF4ECEekI4Nzu9PZiY8w0Y8xIY8zIrKysEA5TKRWQlBw44xHIXwAPD4UXz4X//R8seMHWoBzY7fu12xfDvl1Nm2Z0RcU2PXgLpdwJ9tbP6UaMOaKHl4gwuW82b954HP+95lh6ZrXjDx+uYvxfZvH4rLWU1e7/VVv3ifZ8bnbL0+5Ntg2BvytCg9kvyg28vDWJjW1kjVfZNtvEtnbgBXa6sbF7Nu5YZgPOQ6Wwv7hx5wiWzXNtsFq7Q311g1stsG8tQhZ4GWN+YYzJMcbkAhcCM40xlwDvAZc7h10OvBuqMSilQmTg2bYze7fj7L+05z0L798C/zwZ/pILDw6CD++wTVIrDtW8Lu9TQKDX1GYaeBh1HAoxSf4HXnt32kLwWgGJiHBcr0xevm4Mb9wwliE5Kfztf6sZd/9M/vPNRt/n6+4Eft6mO0s2OQsT/GxemxzkwCshw/v2Q3GNXNVYvaKxb93nsvvbzGNjGgBvW1jzvRswNgdjnI2xx9Z9rrrBrdZ5tRbNsWXQ/cBrInI1sBk4vxnGoJRqqmEX2y+wUz2lm+0fwF2r7arFxf+1AVlMkg20+v4AVn9oa7sSM5t37OEQGeW0dfAz8HJrn+ppJTEyN53nrxzN0q0l/OmjVfzmvRUc1yuTnlnt6h6c1R8SMm1bieE/rnWtTf7Xd0HwM16+6uyiE+wqzUAzXoXOZuW+Ml6Vh22fr8zedZ+vz7ZFEBFl9xQtXg9dRjX8mlAozIMDxXXru0C717dCYWmgaoyZbYw53fm+yBgz1RjT27lt5vytUqrJIiJswNDnZBh3C1z4Evx8ve0rNfhc+6/1t6+zBcK9T2zu0YZP9wlQvM6/ru+73f0LG2ieCgzJSeWxi48hNiqShz7L835QRIS9/sY5deuTSjb7v6IRajqkB6NtQfEG34GXiLNtUIA1XoWrbZPXRC9lKdUrG1cGdk6A/IXQ/Xj73psz4+XWd3nLeMWn243BNfBqNbRzvVIqNKLjbSB2xsPws+/hmplw0h9gdBjaObQUufVM99W2eyMgftddZbaL5YpxuXywdBvf7/CRIcqdYFtHeAYNFYfsH2l/C+sheB3Syw/a/mH1rSyNbcR+jbvW2GyXt8a4mX0BCbzO6+AeKMqzwU5KTjMHXnNt9jKjV93nIiK0iWoro4GXUir0IiIgZwQc91O7h15b0WGwbZGwsYEu8mAzQcmdIDrO79NfP7EH7WKiePDTNd4P6H68vfVsK1GyBTCBZbwgOP2iSjbZa9cXeMUlN2KqcU3dVhKumASbjQ004+Vuwt5puB1vc2e8uo7xveOC9vJqVTTwUkqpUHHbOvib8fK20q8eqQkxXD2hO/9bUcCyrV6m5zJ6QlKnI69fstHeBpLxAhsUNjWrUl8rCVdsSmAZrwO7Yd/Oms2xvcnuD7sCzHhtW2RvqwOvRvata6qyHXYa2ts0oyuYDW5VyGngpZRSodR9gs30eGvr4MmjlUQgrhrfndSEaB74dHXdJ93tgzzrvHY7PbwCKa6H4GRV/Am84lICy3jtcrJ93grrXdn9oWjtkStsG5K/0H5GiRl2vAd2N09Lifrqu1y6bVCrooGXUkqFkj91Xof3O9vo5AZ8+uS4aK6f2JPZq3cxf6OXwKD7RNs7zc34lGy2xdj+bi7uSuoI+4sCC15qK15vA6v4NN/HxAVY41XoBF6+phrBrvCsqrDBl7+2LYJOx9jv3UDRXQARLsbA9x9BVLzdo9GXpA6219jhfeEbm2o0DbyUUiqUsgfYlWf19fOq7iQf2FSj6/LjupHZLoYHpnup9aoO/L6ouVZql8Cbz1a3LWjklJYxdu/IrP6+a5XAFtcfCmBVY+FqiIytv2Yt0D0b9xXZz6nTcHvfDbyKwxx4zXkAlr1mt7qqr+daU382Kqw08FJKqVCKiIDc8Tbo8LXtjPsHvRFTjQAJMVH8ZFIvvllfxNdra23rk9bNBiVu4LV7U+CF9dD0flHrZtis24gr6j8uLhkOlfm/RU9hnl3tV18gmdnb9gfzN/Da7tR3dXYyXu7PJZwF9t8+DTN/D0MuhBN/X/+x1U1UNfBqDTTwUkqpUOs+EUq31DRJ9WRMTTaskRkvgIuP7UqH5Dge+HQNpnbQ0n2iDfyqqpyMV4D1XdD07vVfPwbtOsCgc+s/LjYZTBUc3uvfeb1tjl1bVKxdaOBvgX2+E3i5m7BHx9tO/+EKvBa9BB//HPqdDmc9boP3+mgT1VZFAy+llAo1X/s2VlbAR3fC3Cdg4A+b1GojLjqSn07txYJNu5m9ZteRT3afCAdLYMtcW6cV6IpGaNp01o7lsH4WHHsdRMXUf2wg2waVH7SBZH2F9a6sfv63lNi2CDJ623o0V7haSqx4B967GXpMhvP+aXuoNSRZpxpbEw28lFIq1LL62gakngX2B0vhvz+y2yoddwuc+1z9tU9+OH9EF7qkx/PA9NVHZr3cwG/Ri/a2MVON8Wm2lsqfLvy1zX3Cbgc04sqGj3U3yvane33xOpsd8yfwyh5gp3TLDzR87LaFNfVdrnAEXnmfwpvXQM5ou/tDVKx/r4tNtp+vZrxaBQ28lFIq1EScOi+nrcPujfDcSbax6RmPwEm/b3g6yQ8xURHcOrUPy/P3cMHTc5mTt8sGYMkdbXCy4m17YGNqyUQa1yG9bAcsfQ2GX+JfRs/NePnTUqK+zbFry+4HmJrX+LJnuw1g3PouV3oPuzo00K76/tr4Jbx6CbQfAD9+DWIS/X9t9c+mhQdeFYdg3nNNWxl7FNDASymlwqH7BPuHcckr8MxU+/0lb8GIy4N6mXOP6czvzhrIlt37ufS57zjnia+ZsaoAkzsByvfbgxqT8QKnUWeAf9y/m2ZbORx7g3/Hx6XaW38CnMI8QLxvpVNb9gB721Cdl2fjVE/VKxtDkPU6vB9evtj+XC5568gpTn+1hiaqaz6BD38GC/8d2uts+hq+eTy012gCDbyUUioccifa23dugNgkuPoz6HF80C8jIlw2NpfZd03izz8cTNG+Q1z9wnz+tMpuIG2iEyAxs3EnTw4w8Dq8D+b/E/qdZovb/REbQMarcLVdKBAd3/Cx6T1s/7KG6ry2LbSbYneo1TcrlIFXUZ5toTH53sb/bFpDxqvA+ey/eRyqKkN3ne+mwfRf2YC2BdLASymlwiGjJ2QPtPVW18xoeCVeE8VGRXLR6K7MvGMSD5w/lHkMBGBTZQZvL86norIq8JMGmlVZ/F/b8f24n/r/mrgAarx2rfFvmhFsH6zMPg1vlr1tke01FpNw5OPpzorTUARehXn21p9aNV/cn42/bTiaw84VNqjdvQFWfxy66xStBVNZs99mC6OBl1JKhYMIXP8FXPGB3YYmTKIjIzh3RA5v3nEGu9OGsDGyO7e/uoSp//icV+dt5nBFAAFYUgfb5sGfacCqSltU33kEdDnW/2v4m/GqqrKZokCClez+9o9xxWHvzxtjtwrqPLzuczGJth1GKJqoulOm9W2l1JCkjnYqOdANxsNp5yroc4rNUn7zWGiuYQwUOcHx1vmhuUYTaeCllFLh4k9rgFBdOkJIu+59Jt7xX6ZdOoKU+GjufnMZk/42i39/s5GD5X5M/SR1srf+ZL1Wf2yzQ2NvDmy1ZnQ8REQ1HNyVboaKg4EFXkMvhL0FNiD0pmQzHCiu2SqotlCtbCzKsy0+ouMafw63iWpL3bOx/ID97DoMhjE/sXtQbl0Q/OuU7YByZ+ukfA28lFJKNaf4VCLikjhpYAfevWkcL1w1mk6p8fz63RVM+ttsVm5rINip7pDuR0uJbx6HlK7Q/8zAxijibBvUwFj82Ry7tt4nQt8fwOd/hdL8us9vW2hvaxfWu0IVeBWusX3DmqKlN1Hdtdq2/sgeYFe4xqaEJuvl7seZmBWawC4INPBSSqk2SEQ4vk8Wr98wlpevHUOEwEXPzGXp1hLfL0r2M+OVvwA2fw1jbmxcls+fjbKLGlkXdcqfbf3P9P+r+9y2RRAZA+0Hen9tRg+7mXkwN6OuqoKidXZbo6Zo6dsGuds1ZQ+wi0tGXA4r37VZxmByA69B58GerS3y89DASyml2jARYWzPDF69fixJcVH8+JlvWbBpt/eD27W3tw1lVb5+zGathl/SuEHFJjdcXF+yGWKSAu/2n5YL42+3Pc3Wzz7yufyFNujy1bg0FCsby7bZ2ix/WmLUpzrwCnLGyxi7Q0BT7VxpG/C6n+Gx19vs5tynmn5uT8Xr7HUGOJnW/JaX9dLASymlFF3SE3jt+rFktIvh0ue+5dv1RXUPim1ng6L66ojKCmwmY8TlNSsUAxWX0vBUY8lmW6TdmG7/4261PbM++nlNoX1VFWxf4ru+C0ITeBU2YsrUm5hEO30X7AzPVw/Bw0Ob3jh25yq7ktfNgKbkwMBzbE8vf1aw+qtonf05dRpuawVbYIG9Bl5KKaUA6JQaz2vXj6VTajyX/+s7vswrrHtQQ01U182wU3mDf9T4gcSlNPyHfvemxu05CbaA/9S/2D5g3zoZl+J1NtjzVd8FNZuYBzXwcqbGmjrVCE6ftUZs6VSf9bPt9Or855p2np0ra5rYusbeBIfLgttQtWitbd0SHW+zly2wwF4DL6WUUtWyk+N45box5GYkctUL85j1/c4jD2ioUefaGXZfyvaDGj+IhorrjanJeDVW31Oh98nw+V9sBs/tWF97qyBPccm2aDuYgVdRnp0ydadxm6IxWzrVp6oK8p3P5ZvH/dvn0psDJbAn37bz8NRpOHQbb6cbK8ubNFTAtjAp3lAzbdt5pB1/KJu1NkLIAi8RiROR70RkiYisEJHfOo+ni8inIpLn3KaFagxKKaUCl9kulpevHUOf9u247j/zee7LDTXtJpI7+f7jXlUJ62ZCzylN23uyoeL6A7ttpqQpgRfAqffbP/jTf2nru6LiIbOBhqzpPYLby6swz2a7mrhBOhD8bYOK19mO+sN+bPepbGxmyt2mKdvLooXjbrZF8Cvfbfw4XSWboaq8ZpeEnJH298Sdzm0hQpnxOgRMMcYMBYYBp4jIGOAeYIYxpjcww7mvlFKqBUlLjOGla8Ywuns6v/9gJRP+OotnvljP4YRsm/Gq8tJ4dfti2wer1wlNu7ib8fJ2DahZCdfUwCu9B4y/DZa/Yb86Dm14FWawW0q4gVcwuBkvX59boNzC9ON+Cl3HwlcP+24+W5+CFfa2dsYLbNYxo5dtLdHUrvtF6+ytZ8YLWlyBfcgCL2Ptde5GO18GOAt4wXn8BeDsUI1BKaVU46XER/Pi1cdWZ7/++NEqHpxbBlUVlO32kllZOxMQ6Dm5aReOSwaM7ZLvTckme9vYzb49jb/dBnD7dtVf3+VK72GnzRo77ebp8D6b7WlqDy9XUkeb8TlQHJzz5S+AmHa28H/CnfZ9L3k58PPsXGWnU1Ny6j4XEWEbqm5bBGs/a9q0YHGtwCujl11w0MIK7ENa4yUikSKyGNgJfGqM+RZob4zZDuDcZodyDEoppRrPbTfx0jVjePPG40jM7ALAlY++zwPTV7N7n0cGZN0MmzVq7EbProa2DQpWxgtsEfYp99vvu4xu+PjqlY1BmG50MzSZTWwl4Qp2S4n8Bc7qwEjoNRU6DoMvH4TKisDOs3OVzXb5mk4dehEkZMBL58Ef2sNDQ+Bfp8HbN8DMP8Cq9/27TtFaG+Al2g3hiYiw2z+1sAL7kAZexphKY8wwIAcYLSJ+V1uKyHUiMl9E5u/atStkY1RKKeWfEd3SuPnMCQBM6lDBozPXMu4vM/nzR6vYVbgTtnxn/0A3VfVG2fUEXrEpEJ/a9GsB9DsNbvwGBpzd8LHBbCkRrFYSLndLp2BsG1RxCHYsq8kCisDEO+0G1yve9v88xtjNsdsP8H1MTAJc8xmc9oCt+eoyGqoqYMMcmPMAvHqJf41W3RWNngFe55FQsBIO7/d/zCEWlo3DjDElIjIbOAUoEJGOxpjtItIRmw3z9pppwDSAkSNHtuDt1pVSqg1JtlvT3DwqkZPOmcjjs9byzJz15H/zGo9FVlLYYQJNzHfVZLx89XfavSk42S5P9QUGntKD2FKiaC1N3hzbUzAzXgXLofKw3eTc1fc0yOpvg6FB5/q3gGJvgV0MUbuVRG3pPbx/DtsWwbRJsHVewz/zonWQM+rIx3JG2vYm2xdDt+MaHm8YhCzwEpEsoNwJuuKBE4C/AO8BlwP3O7dBWMqglFIqLNq1BwT2bKdP+yQevnA4t53Qh4KXXmZvcTwT/lvGmcOX0iu7ndeXD+uayqjcBrrNx6Xa2/qmGt2Va+EWnwbx6UHKeOVBahc73RkM1TsLBGFlY76zb6Vn4BURARN+Bm9dC6s/gv6nN3yenSvtrbfCen+0H2RXm26db4M9XyoO2d+LoRcd+bhbYL91/tEfeAEdgRdEJBI7pfmaMeYDEfkGeE1ErgY2A+eHcAxKKaWCKTLa1tB4ZFW6ZyTQvWoxB3odz3lJPXh1/hYOV3hfWZcUF8WXP59CSkK072vUN9Xo9vBqagF/UwRrZWMwNsf2FBUDCZnByXjlL7T92GoXxA/8Icz6I8z5u52ibagNRoEbePmZUawtMtpOd26dV/9xxRsAUzcgb5dlM2UtaGVjyAIvY8xSoM4SEWNMERCEIgCllFLNonajzsI8KN1C/ISf8fuRg/jl6f0pr6xbIbJu517OfuIrnpmznjtPrqdfVnVxvZepxv3FUL4v+FONgUjvAZvnNu0cxtipsW7jgjMmV7B6eeUvsNmu2oFVZJRdCfr+rXYxRUOtQ3ausgFcUxZc5Iy0OwxUHPK9j2b1ikYvmdDOIxsO3MJIO9crpZQKTFKtrWnWzbC3Pe2/qWOjImkXG1Xna2iXVE4f0ol/frWBor2HfJ+/voxXyUZ729yBV+kWGwg01p5tNoAM1opGV1KHpm8bdLDUZuM8pxk9Db3IFvJ/8UDD59q5svHTjK6cUbbebMcy38cUOVsvpXsJvHJG2p9XWUHTxhEkGngppZQKTHKtrMraz2zPJD/2TrzthN4cLK/kqc/X+T4oKg4ior3XeAWzlURjpfcAjC3yb6yiPHsbzKlGqPuzqc2fJqXbFgPG9/ZJUbEw7hbY/DVs+sb3eaqqbNf69l461gfCLZivL2tVtNZOs3pb6VrdSLVltJXQwEsppVRgkjrahqMVh6H8IGz8qjrb1ZCeWe04Z3gO//5mEwV7Dno/SMT3tkEtJvCiZnrL06G98MHt8P2H9Z+j0Am8gtVKwpXUEfbu9N5r6+tH4aHBNttWH7ceqr6GssdcbhdBfPuk72NKNkL5/qZnvJI7QnJOA4HX+prGqbV1HAIRUS2mkaoGXkoppQKTZFtKsLfAZj0qDgS0TdCtU3tTWWV4YtZa3wf52ii7ZLP9gx+XEtiYg8lXL699hfDCGTD/nzD7z/WfozDPdoV3W0AES1IHwMC+Wp2a5j5l96Qs3QKLXqr/HPkL7HtMqGf1aUwCDL8EVn3gO5DbucreNraw3lNOA3VaRWt9B17R8TbrphkvpZRSrZIbeJXtgLUzIDIGcv0vEu+akcCPRnXhv99tZutuH40tfWW8QtHDK1AJ6Tbw8wy8dm+C506yNU39Trf1SEX1TKcW5dlAIRibY3uq/tl4rGyc/y/45G47rm7jYdG/69/PMX+h7/ouT6OuBlMFC573/ry7ojGrn19Dr1fOKBt0e6vTOlQGe3dARj390DqPhPxFwdvHsgk08FJKKRWY6kad22zg1XUsxCQGdIqfTumFiPDYTB9Zr/oyXs0deIkc2VJixzJ47kTYXwSXvVuzBdGq93yfI5ibY3uq/tk4dV6LX7ZTn71PgvP+BSOvtJ/hhs+9v37PNvtz9SfwSu9hM50Lnve+efbOlXY/zVjvPd0C4tZ5ecta1d4c2+vrR8LhsprdApqRBl5KKaUCk+xsTZO/AHatCmia0dUxJZ4fH9uV1xdsZWPhvroHxKXU7Vzv9vBKyw18zMHmBl4b5sC/fmBriK76BLqOsU1RO4+AlT76gx/eb6f8gl3fBTUZrz3bYPmb8O5PoPtE+NF/bJ+vfqfbqdqF//b+em+NU+sz+lo75fy9l/0Ud64KzjQjOHVa0d6nG2tvju1NCyqw18BLKaVUYOLT7R/BJa/a+43cn/HGST2JiYzg4Rl5dZ+MS6k71biv0NaTNXfGC2zgVbIZXvyhDXaunn5kEfmAs+x2N95WPvoTKDRWYhZIJCx9Dd68FrqMgYtehug4+3x0HAy9EL7/APYV1X39toU2iOww2L/r9TrBBsLfPXvk4xWH7XSqv1sxNSQ63o7JW4G8m/FK6+779Rm97P6eLaDAXgMvpZRSgYmIcFbP7bC3jcxqZCfFcdlx3XhncT55BWVHPultqrHECWJaRODV09Y3dRpuM121O7z3P9PeepturF7RGIKpxohIu3XQ1u/s2H78Wt1p4OGX2r5YS1+t+/r8Bfbn6e82RhGRMPJqu8iiYEXN40V5dqPrYGW8wE435i+su2KzaK1d9RiTUM84I2x7DM14KaWUapXcWqKeU5tUIH7DxJ4kxkTx4Ge1am/ikm3RtGcxdEsKvPqdBj/4O1z6jvfVf+ndoeNQ79ONhXnYzbFDtN9kdn/oOAwueRNik+o+32GQnUpc+O8j+3pVVdkCdH+nGV3DL7G91757puax6hWNTWwl4SlnlG06u2vVkY8XrfNv786ckbbg/7CPBR1hooGXUkqpwLmBV68pTTpNWmIMV43vzkfLdtDz3o+qv/44Ix8wDP3lW/zwia+Y+X0BZncL6OHliku29U31ZVkGnGVrkkq3Hvl4UR6kdKn/tU1x0StwzQzvzURdx1xmAxjPqbfidXabpkADr4R0GHSend506/J2rrRTlsFsEJvjbnjtUedljLNC1I/Aq/MIMJWwfUnwxtQIGngppZQKXEoOINCj6ZtV33B8D+44sQ83Ht+z+mtEH9sF/7rRGRTsOcRVz8/noy+/5XBMKlXRQVglFw79z7K3q2oVnhfmBX+rIE9RMXZPxfoMOheiE2HhCzWPuY1TAw28AEZfY7NRi1+29wtW2qArKibwc/mSlmu703sGi/uLbbDnT71c55G2tcVhL4s5wihkm2QrpZQ6io250a6Wq6/Jpp8SYqL46dRamZEVfWA93DQ2m+vO6M87i/LJ+ngH35enccdDX3DzlF6cPqQTkRFB7oMVTJm9oP0gO9045kb7mDG2JqnLj5t3bLFJMOgcWP4WnPJnez9/gQ3GsurZwNyXTsNtYDPvWTj2epvxakwAVx8RO93omfEKZKFCuyy46dvgjqkRNPBSSikVuNSuoZ3y89goOzoygvNHdsF8s5ftsb2RfXDrK4v57fsrSYyNDMrloiMiOH1IR64c1520xCBmaQacBbP+BHu2O/sobofDe0NTWB+oYy6HRS/a4GvE5Tbw6jTcFsw3xuhr4e3r7XZJJZtsEX+w5YyENR/Dgd0Qn1b/5tgtlAZeSimlWh53SyB3ZaMxSOkWOo0+hU9OmMj0lQV8tqqAqio/Nn32Q+G+wzwycy3PfrmBS8d04+oJ3clOimv6iQecBbP+aNs3jL42tCsaA5Uzyk69Lfy3bTGxYxkce0PjzzfgbPjfvTD9/+z9YLWS8FTdSHWBbWVRtNa2z/Bjg/aWQgMvpZRSLU+sE3i5xdp7C6DiIKR2IyJCOGVQB04ZFNx9DlfvKOOJ2Wt5Zs56nv96IxeN7sr1x/egY4qfrRW8yeprg5uV7zqBl7N6M5hF540lYovs/3cvLHvdtpjofEzjzxcdZ8/35YP2fjBXNLo6HwMSYeu8ep1gVzSm5UJkdPCvFSIaeCmllGp5qqcancCrJPQrGvt2SOLhC4dz2wl9eHL2Wl6cu4mXvt3EsC6pSBNaZpx/YATn7nqZ65/4iHP2zmGKxHHZy5tANlcfEyFwQv/2XHxsVxJiwvineciF8Olv7Bc0vS5r5FXw1cO2vURqbpOHV0dsku0N5tZ5Fa0LTSPaENJVjUoppVqeWCfwcqcawxB4ubpnJvLX84Yy+65J/PjYbkRGCBFCo7++ix9PBFWMPvQ1nSq3si0qh4ha5yw7WMEfPlzF+L/M4vFZayk7WB7y9wlAYgb0Px32F9qu9yldmna+1K52xWTXsbZpaSjkjLQZr6oqW1zvTyuJFkQzXkoppVqe6DiIjKnZNqgZmqfmpCVw35kDm34iMwYee4BrU5ZB8S7IGc0r542tc9iCTbt5bGYef/vfap7+fB1XjOvOVeNySU0IYrG/N8dcDivettmuJmT2qp3zNBDC1aY5o+zG3BvnQPl+DbyUUkqpoPDcNmj3JtvDqfb2N62BiC2y//Ihu83QMO+tJEZ0S+NfV45meX4pj81cyyMz8nhuznom9csmJjKw7NHkftmcObSTfwd3Px56nwyDzw/oGj41dlWkv9wC+yWv2NtWNtWogZdSSqmWKS7ZI+O1uWV0rG+sAWfBnAfs9w2saBzUOYWnLh3B6h1lPDl7LQs3lwR0qQPllby9KJ9dZYe4enw9G0e7IiLsno6tRUZvu/jC3Y6pFbWSAA28lFJKtVSeGa+SzdBhcPOOpyk6DLGr73Zv9HtFY98OSTx04fCAL3W4oopbXl7E7z9YyeGKKm6c1LoCkwZFREDOCFg30xbxJ3du7hEFRIvrlVJKtUxuxquqCkq3tKpeTXWI2KLzqLiQ1yTFREXw6MXDOWNoJ/7yyfc8/FkexgSn31mL4U43pvcMXRF/iIQs4yUiXYB/Ax2AKmCaMeZhEUkHXgVygY3Aj4wxu0M1DqWUUq1UXIptF7B3h+0x1ZqnGgGOvxuGXhSWOrXoyAgeumAYMZERPPjZGg5XVnLnSX2b1BajRXEDr4wezTuORghlmFgB3GGM6Q+MAW4SkQHAPcAMY0xvYIZzXymllDpSbIrNeFW3kmjFGS+AqNiwdqyPjBD+dt4QLhrdhcdnreOPH646ejJfnUcAApl9mnskAQtZxssYsx3Y7nxfJiKrgM7AWcAk57AXgNnA3aEah1JKqVYqLtk2UA1jD6+jTUSE8KdzBhMbFcmzX26geP9hjuma1mzjiY2K4KSBHUiJb2Kn+YR0uPTtVln3F5biehHJBYYD3wLtnaAMY8x2Ecn28ZrrgOsAunbV/9iUUqrNiU2Gw2VQvMHeb2pzzzZKRPjNGQOIjY7g6c/X89bC/GYdz+/eX8kV43K5clx30puyIXnPycEbVBiFPPASkXbAm8Btxpg9/s4vG2OmAdMARo4ceZTkRpVSSvnN3TZo5wpIzIaYhOYdTysmIvzi1P7ceHxPDldWNds4tpUc5OnP1/HozLU89+UGLhnTjWuCtSF5KxHSwEtEorFB10vGmLechwtEpKOT7eoI7AzlGJRSSrVS7rZBO5bpNGOQhLwLfgOyk+J48pIRrCko44lZa3l2znpecDYkn9gnE/HS8T45PppjujZtv8yWJJSrGgV4DlhljPmHx1PvAZcD9zu374ZqDEoppVoxN+NVvAEGDmvWoajg6tPe9ii77YQ+POFsSP781xt9Hj+wUzI/ndKLkwZ0ICKidQdgocx4jQMuBZaJyGLnsXuxAddrInI1sBkI0h4FSimljipuxgujGa+jVK6zIfmdJ/VlW+lBr8es3rGHJ2ev44YXF9KnfTtumtyL04d0IrKVBmChXNX4Jb53yZwaqusqpZQ6SsSl1HzfmpunqgZlJ8eRney9zmtYl1TOPSaHD5dt5/FZa7n1lcU89FkeNx7fkyFdUry+pj4dU+KbvqqyCXTLIKWUUi2TZ+ClGa82LSoygrOGdeaMIZ2YvnIHj85cy8/fXNqocz128XBOH+LnBuIhoIGXUkqplql6qpHW3zxVBUVEhHDKoI6cPLAD320opnjf4YDPMaxravAHFgANvJRSSrVMcR6Bl/bwUh5EhGN7ZDT3MBpFAy+llFItU1QsRMZCfBpEt50+T+ro1rq29FZKKdW2xCVrfZc6qmjgpZRSquVKy22V+/Ep5YtONSqllGq5LnkLIpu327pSwaSBl1JKqZbLs8BeqaOATjUqpZRSSoWJBl5KKaWUUmGigZdSSimlVJho4KWUUkopFSYaeCmllFJKhYkGXkoppZRSYaKBl1JKKaVUmGjgpZRSSikVJhp4KaWUUkqFiQZeSimllFJhIsaY5h5Dg0RkF7ApxJfJBApDfI2Wrq1/Bvr+9f3r+2/b2vpnoO8/eO+/mzEmy9sTrSLwCgcRmW+MGdnc42hObf0z0Pev71/ff9t9/6Cfgb7/8Lx/nWpUSimllAoTDbyUUkoppcJEA68a05p7AC1AW/8M9P23bfr+VVv/DPT9h4HWeCmllFJKhYlmvJRSSimlwkQDL0BEThGR1SKyVkTuae7xhJqI/FNEdorIco/H0kXkUxHJc27TmnOMoSQiXURkloisEpEVInKr83ib+AxEJE5EvhORJc77/63zeJt4/y4RiRSRRSLygXO/rb3/jSKyTEQWi8h857E28xmISKqIvCEi3zv/LxjbVt6/iPR1fu7u1x4Rua2tvH8AEbnd+f/fchF52fn/Yljef5sPvEQkEngcOBUYAFwkIgOad1Qh9zxwSq3H7gFmGGN6AzOc+0erCuAOY0x/YAxwk/MzbyufwSFgijFmKDAMOEVExtB23r/rVmCVx/229v4BJhtjhnksoW9Ln8HDwCfGmH7AUOzvQpt4/8aY1c7PfRgwAtgPvE0bef8i0hm4BRhpjBkERAIXEqb33+YDL2A0sNYYs94Ycxh4BTirmccUUsaYL4DiWg+fBbzgfP8CcHY4xxROxpjtxpiFzvdl2P/hdqaNfAbG2uvcjXa+DG3k/QOISA5wGvCsx8Nt5v3Xo018BiKSDEwEngMwxhw2xpTQRt5/LVOBdcaYTbSt9x8FxItIFJAAbCNM718DL/sHd4vH/a3OY21Ne2PMdrCBCZDdzOMJCxHJBYYD39KGPgNnmm0xsBP41BjTpt4/8BDwc6DK47G29P7BBtvTRWSBiFznPNZWPoMewC7gX85087Mikkjbef+eLgRedr5vE+/fGJMP/B3YDGwHSo0x0wnT+9fAC8TLY7rUsw0QkXbAm8Btxpg9zT2ecDLGVDrTDDnAaBEZ1MxDChsROR3YaYxZ0NxjaWbjjDHHYMssbhKRic09oDCKAo4BnjTGDAf2cZROq9VHRGKAM4HXm3ss4eTUbp0FdAc6AYkickm4rq+Bl81wdfG4n4NNObY1BSLSEcC53dnM4wkpEYnGBl0vGWPech5uU58BgDO9Mhtb89dW3v844EwR2YgtLZgiIi/Sdt4/AMaYbc7tTmx9z2jazmewFdjqZHoB3sAGYm3l/btOBRYaYwqc+23l/Z8AbDDG7DLGlANvAccRpvevgRfMA3qLSHcn+r8QeK+Zx9Qc3gMud76/HHi3GccSUiIi2NqOVcaYf3g81SY+AxHJEpFU5/t47P+EvqeNvH9jzC+MMTnGmFzsf+8zjTGX0EbeP4CIJIpIkvs9cBKwnDbyGRhjdgBbRKSv89BUYCVt5P17uIiaaUZoO+9/MzBGRBKcvwdTsbW+YXn/2kAVEJEfYGs+IoF/GmP+2LwjCi0ReRmYhN2JvQD4DfAO8BrQFftLeb4xpnYB/lFBRMYDc4Bl1NT43Iut8zrqPwMRGYItHI3E/uPrNWPM70Qkgzbw/j2JyCTgTmPM6W3p/YtID2yWC+y023+NMX9sY5/BMOziihhgPXAlzn8PtI33n4Ctb+5hjCl1HmtLP//fAhdgV7kvAq4B2hGG96+Bl1JKKaVUmOhUo1JKKaVUmGjgpZRSSikVJhp4KaWUUkqFiQZeSimllFJhooGXUkoppVSYaOCllFJeiMhsERnZ8JFKKeU/DbyUUkoppcJEAy+lVKvhdFz/UESWiMhyEblARH4tIvOc+9OcTtRuxupBEflCRFaJyCgReUtE8kTkD84xuSLyvYi8ICJLReQNp7Fk7eueJCLfiMhCEXnd2ecTEblfRFY6r/17eD8NpVRrpIGXUqo1OQXYZowZaowZBHwCPGaMGeXcjwdO9zj+sDFmIvAUdvuPm4BBwBVOl26AvsA0Y8wQYA/wE88Likgm8EvgBGdT6fnAz0QkHTgHGOi89g+hectKqaOJBl5KqdZkGXCCiPxFRCY4W51MFpFvRWQZMAUY6HH8ex6vW2GM2W6MOYTdIqaL89wWY8xXzvcvAuNrXXMMMAD4SkQWY/dw64YN0g4Cz4rID4H9wXyjSqmjU1RzD0AppfxljFkjIiOAHwB/FpHp2CzWSGPMFhG5D4jzeMkh57bK43v3vvv/v9r7ptW+L8CnxpiLao9HREZjN9i9ELgZG/gppZRPmvFSSrUaItIJ2G+MeRH4O3CM81ShU3d1XiNO21VExjrfXwR8Wev5ucA4EenljCFBRPo410sxxnwE3AYMa8S1lVJtjGa8lFKtyWDgbyJSBZQDNwJnY6cSNwLzGnHOVcDlIvI0kAc86fmkMWaXiFwBvCwisc7DvwTKgHdFJA6bFbu9EddWSrUxYkztrLpSSrUNIpILfOAU5iulVMjpVKNSSimlVJhoxksppZRSKkw046WUUkopFSYaeCmllFJKhYkGXkoppZRSYaKBl1JKKaVUmGjgpZRSSikVJhp4KaWUUkqFyf8DJ44/NhCH8HcAAAAASUVORK5CYII=\n", - "text/plain": [ - "<Figure size 720x360 with 1 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from sklearn.linear_model import Ridge # estimator\n", "from sklearn.preprocessing import StandardScaler # transformer\n", "from sklearn.pipeline import make_pipeline # function to construct pipeline\n", + "from sklearn.feature_selection import SelectPercentile\n", "\n", - "regr = Ridge(alpha=0.5) # instantiate ridge regression estimator\n", - "masker = MaskTransformer() # instantiate mask transformer\n", + "# regr = Ridge(alpha=0.5) # instantiate ridge regression estimator\n", + "# masker = MaskTransformer() # instantiate mask transformer\n", "\n", "# construct regression pipeline\n", "# (this is a shorthand for creating a pipeline but it does not allow you to give names to the bits)\n", "pipe = make_pipeline(\n", - " masker,\n", + " MaskTransformer(),\n", + " SelectPercentile(percentile=50),\n", " StandardScaler(),\n", - " regr,\n", + " Ridge(alpha=0.5),\n", ")\n", "\n", "# fit and predict\n", @@ -1179,40 +851,21 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<nilearn.plotting.displays.ZSlicer at 0x1628c1670>" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1440x360 with 7 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from nilearn import plotting\n", "\n", "# get regression coefficients from the estimator\n", - "coef = regr.coef_\n", + "coef = pipe['ridge'].coef_[np.newaxis, :]\n", + "\n", + "# inverse the transforms\n", + "coef = pipe['selectpercentile'].inverse_transform(coef)\n", + "coef = pipe['masktransformer'].inverse_transform(coef)\n", "\n", "# reshape coefficients into 3D volume\n", - "coef_3d = np.zeros(imgs[0].shape).ravel()\n", - "coef_3d[masker.mask] = coef\n", - "coef_3d = np.reshape(coef_3d, imgs[0].shape)\n", + "coef_3d = np.reshape(coef, imgs[0].shape)\n", "coef_img = nb.Nifti1Image(coef_3d, header=imgs[0].header, affine=imgs[0].affine)\n", "\n", "# plot\n", @@ -1244,38 +897,16 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<nilearn.plotting.displays.OrthoSlicer at 0x1626e1970>" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x504 with 4 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from nilearn import datasets\n", "from nilearn import plotting\n", "import matplotlib.pyplot as plt\n", "\n", "# fetch anatomical image\n", + "# https://www.science.org/doi/10.1126/science.1063736\n", "haxby_dataset = datasets.fetch_haxby() # 1 subject, ~30s\n", "anat = haxby_dataset.anat[0]\n", "\n", @@ -1297,41 +928,9 @@ }, { "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Final FOV is: \r\n", - "0.000000 124.000000 0.000000 256.000000 47.000000 181.000000 \r\n", - "\r\n" - ] - }, - { - "data": { - "text/plain": [ - "<nilearn.plotting.displays.OrthoSlicer at 0x183c8fdc0>" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x504 with 4 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# extract brain using FSL tools\n", "\n", @@ -1355,17 +954,9 @@ }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Flattened shape: (1269584, 1)\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import nibabel as nb\n", "import numpy as np\n", @@ -1392,22 +983,9 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "<Figure size 1440x360 with 8 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "from sklearn.mixture import GaussianMixture # import gaussian mixture model\n", "\n", @@ -1433,13 +1011,6 @@ "source": [ "That's all folks!" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { @@ -1461,7 +1032,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.8.12" } }, "nbformat": 4,