diff --git a/.circleci/config.yml b/.circleci/config.yml index fa9157446e..2d60c34293 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -2,7 +2,7 @@ version: 2.1 orbs: codecov: codecov/codecov@1.0.2 - + jobs: build: parameters: @@ -130,4 +130,4 @@ workflows: tags: only: /[0-9]+(\.[0-9]+)*/ branches: - ignore: /.*/ \ No newline at end of file + ignore: /.*/ diff --git a/.gitignore b/.gitignore index b6233b9dfd..59d4b812ac 100644 --- a/.gitignore +++ b/.gitignore @@ -131,8 +131,10 @@ dmypy.json # Data and IDE .vscode -#experiments +# experiments .DS_Store +*.wav +*.npz -#pickle -*.pickle \ No newline at end of file +# pickle +*.pickle diff --git a/CITATION.cff b/CITATION.cff index 275529b4a4..b332422480 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -1,6 +1,6 @@ # YAML 1.2 --- -authors: +authors: - affiliation: "Johns Hopkins University, Baltimore, MD" family-names: Vogelstein @@ -26,6 +26,11 @@ authors: affiliation: "Johns Hopkins University, Baltimore, MD" family-names: Geisa given-names: Ali + - + affiliation: "Johns Hopkins University, Baltimore, MD" + family-names: Xu + given-names: Haoyin + orcid: "https://orcid.org/0000-0001-8235-4950" - affiliation: "Baylor College of Medicine, Houston, TX" family-names: "van de Ven" @@ -59,21 +64,21 @@ authors: family-names: Priebe given-names: Carey cff-version: "1.1.0" -date-released: 2021-02-03 -identifiers: - - +date-released: 2021-09-18 +identifiers: + - type: url value: "https://arxiv.org/pdf/2004.12908.pdf" -keywords: +keywords: - Python - classification - "decision trees" - - "progressive learning" + - "lifelong learning" - "transfer learning" - "domain adaptation" license: MIT message: "If you use this software, please cite it using these metadata." repository-code: "https://github.com/neurodata/ProgLearn" -title: "ProgLearn: Progressive Learning" -version: "0.0.4" +title: "Omnidirectional Transfer for Quasilinear Lifelong Learning" +version: "0.0.5" ... diff --git a/README.md b/README.md index afb2fb0676..f74b673394 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # ProgLearn -[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4276573.svg)](https://doi.org/10.5281/zenodo.4276573) +[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4060264.svg)](https://doi.org/10.5281/zenodo.4060264) [![Build Status](https://circleci.com/gh/neurodata/ProgLearn/tree/main.svg?style=shield&circle-token=:circle-token)](https://app.circleci.com/pipelines/github/neurodata/ProgLearn) [![Codecov](https://codecov.io/gh/neurodata/ProgLearn/branches/main/graph/badge.svg)](https://codecov.io/gh/neurodata/ProgLearn) [![PyPI version](https://img.shields.io/pypi/v/proglearn.svg)](https://pypi.org/project/proglearn/) diff --git a/benchmarks/spoken_digit_exp/spoken_digit_exp.ipynb b/benchmarks/spoken_digit_exp/spoken_digit_exp.ipynb deleted file mode 100644 index a7e676dc22..0000000000 --- a/benchmarks/spoken_digit_exp/spoken_digit_exp.ipynb +++ /dev/null @@ -1,335 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Spoken Digit Experiment for Progressive Learning\n", - "\n", - "\n", - "---\n", - "\n", - "This experiment will use an audio dataset named **spoken_digit** to test the performance of progressive-learning on audio classification tasks. The dataset consists of 3,000 recordings of digit (from 0 to 9) pronounced in English, by 6 speakers: \n", - "\n", - "*6 (speakers) x 10 (digits) x 50 (repetitions) = 3,000 (audio files)*\n", - "\n", - "Think MNIST for audio.\n", - "\n", - "\n", - "### Import necessary packages and modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import IPython.display as ipd\n", - "from joblib import Parallel, delayed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load spoken_digit data and extract features\n", - "To try on the up-to-date version of spoken_digit, we download the dataset from github repo (https://github.com/Jakobovski/free-spoken-digit-dataset) to our local disk. Find and copy the path of recordings. Here, the path is `D:/Python Exploration/free-spoken-digit-dataset/recordings/`.\n", - "\n", - "Then we use **librosa** to load audio file, and extract the **STFT** (Short-time Fourier transform) feature. Since each audio has different durations, the STFT spectrograms vary in width. For convenience, we regularize the STFT spectrograms all to 28 by 28 images, using function provided by **opencv**. \n", - "\n", - "*Please ensure that you have **librosa** and **opencv** installed to run this experiment.*\n", - "\n", - "---\n", - "After running the block below, you will get:\n", - "\n", - "`audio_data`: List of audio data, each item contains audio samples of a single digit. length = 3000\n", - "\n", - "`x_spec_mini`: Numpy array of STFT spectrograms that have been resized to 28 by 28 image. shape = (3000, 28, 28)\n", - "\n", - "`y_number`: Numpy array of labels indicating which digit is spoken. shape = (3000,)\n", - "\n", - "`y_speaker`: Numpy array of first letter of the speaker. shape = (3000,)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from spoken_digit_functions import load_spoken_digit\n", - "\n", - "path_recordings = 'D:/Python Exploration/free-spoken-digit-dataset/recordings/'\n", - "\n", - "audio_data, x_spec_mini, y_number, y_speaker = load_spoken_digit(path_recordings)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Inspect data\n", - "\n", - "Before running progressive learning, let's take a look at our audio data and spectrograms.\n", - "\n", - "First, let's play some audio of the digits!" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "This is number 9 spoken by speaker Y \n", - "Duration: 3507 samples in 0.438375 seconds\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " Your browser does not support the audio element.\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "num = 2999 # choose from 0 to 2999\n", - "\n", - "print('This is number', y_number[num], 'spoken by speaker', y_speaker[num].upper(), '\\nDuration:',\n", - " audio_data[num].shape[0], 'samples in', audio_data[num].shape[0] / 8000, 'seconds')\n", - "ipd.Audio(audio_data[num], rate=8000)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, let's display STFT spectrograms of a same digit spoken by different speakers, and see if there is any distinguishable differences." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from spoken_digit_functions import display_spectrogram\n", - "\n", - "num = 5 # choose from 0 to 9\n", - "display_spectrogram(x_spec_mini, y_number, y_speaker, num)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run progressive learning\n", - "\n", - "\n", - "\n", - "The Progressive Learning project aims to improve program performance on sequentially learned tasks, proposing a lifelong learning approach.\n", - "\n", - "It contains two different algorithms: **Lifelong Learning Forests** (**L2F**) and **Lifelong Learning Network** (**L2N**). **L2F** uses Uncertainy Forest as transformers, while **L2N** uses deep networks. These two algorithms achieve both forward knowledge transfer and backward knowledge transfer. \n", - "\n", - "You can set `model` as 'uf' or 'dnn' to choose which algorithm to use.\n", - "\n", - "---\n", - "\n", - "We divide tasks by speaker. As there are 6 speakers in total, we have 6 tasks. \n", - "\n", - "For each task at hand, we check whether the former tasks would forward-transfer knowledge to it, as well as whether the later tasks would backward-transfer knowledge to it, so that it has increased accuracy with more tasks seen. \n", - "\n", - "Normally, we repeat the experiment for several times and average the results to get the expectation of generalization error. Choose `num_repetition` according to your computing power and time.\n", - "\n", - "##### Prepare input data and start progressive learning!" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "x = x_spec_mini.reshape(3000,28,28,1) # (3000,28,28,1)\n", - "y = y_number # (3000,)\n", - "y_speaker = y_speaker # (3000,), dtype: string" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "from spoken_digit_functions import single_experiment\n", - "\n", - "# L2N Model\n", - "\n", - "model = 'dnn'\n", - "ntrees = 20 # number of trees, used when model is uf\n", - "shuffle = False\n", - "num_repetition = 6\n", - "\n", - "accuracy_list = Parallel(n_jobs=3)(delayed(single_experiment)(x, y, y_speaker, ntrees, model, shuffle) for _ in range(num_repetition))\n", - "\n", - "accuracy_all = np.array([accuracy_list[i] for i in range(num_repetition)])\n", - "accuracy_all = np.average(accuracy_all, axis = 0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Calculate and plot transfer efficiency\n", - "\n", - "\n", - "\n", - "- The **transfer efficiency** of algorithm $f$ for given task $t$ with sample size $n$ is $$TE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{t}))]/\\mathbb{E}[R^t(f(D_n))].$$\n", - "\n", - " We say that algorithm $f$ has transfer learned for task $t$ with data $D_n$ if and only if $TE_n^t(f)>1$.\n", - "\n", - "- The **forward transfer efficiency** of $f$ for task $t$ given $n$ samples is\n", - "$$FTE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{t}))]/\\mathbb{E}[R^t(f(D_n^{1$.\n", - "\n", - "- The **backward transfer efficiency** of $f$ for task $t$ given $n$ samples is\n", - "$$BTE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{1$.\n", - "\n", - "\n", - "\n", - "\n", - "*For more details about FTE,BTE,TE and so on, please refer to the paper by [Vogelstein, et al. (2020)](https://arxiv.org/abs/2004.12908)*" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from spoken_digit_functions import calculate_results, plot_results\n", - "\n", - "acc, bte, fte, te = calculate_results(accuracy_all)\n", - "plot_results(acc, bte, fte, te)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Shuffled speaker\n", - "\n", - "\n", - "The default order of speakers is George followed by Jackson, Lucas, Nicolas, Theo, Yweweler. But we offer a variable `shuffle`. If we set `shuffle = True`, the order of speakers will be shuffled before each repetition starts.\n", - "\n", - "By shuffling the speakers and averaging the results, we can see the intrinsic trend of Progressive Learning, i.e. the transfer efficiency increases monotonously with the 'noises' canceled out.\n", - "\n", - "---\n", - "Here we use **L2F** for less computation cost, and set the number of repetitions large enough." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "model = 'uf'\n", - "ntrees = 20\n", - "shuffle = True\n", - "num_repetition = 128\n", - "\n", - "accuracy_list = Parallel(n_jobs=-1)(delayed(single_experiment)(x, y, y_speaker, ntrees, model, shuffle) for _ in range(num_repetition))\n", - "\n", - "accuracy_all_shuffle = np.array([accuracy_list[i] for i in range(num_repetition)])\n", - "accuracy_all_shuffle = np.average(accuracy_all_shuffle, axis = 0)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "acc, bte, fte, te = calculate_results(accuracy_all_shuffle)\n", - "plot_results(acc, bte, fte, te)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "progressivelearning", - "language": "python", - "name": "progressivelearning" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.0" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/benchmarks/spoken_digit_exp/spoken_digit_functions.py b/benchmarks/spoken_digit_exp/spoken_digit_functions.py deleted file mode 100644 index 5f2f281031..0000000000 --- a/benchmarks/spoken_digit_exp/spoken_digit_functions.py +++ /dev/null @@ -1,270 +0,0 @@ -import os - -import IPython.display as ipd -import cv2 -import keras -import librosa -import librosa.display -import matplotlib.pyplot as plt -import numpy as np -import seaborn as sns -from keras import layers -from keras.callbacks import EarlyStopping -from keras.optimizers import Adam -from proglearn.deciders import SimpleArgmaxAverage -from proglearn.progressive_learner import ProgressiveLearner -from proglearn.transformers import NeuralClassificationTransformer, TreeClassificationTransformer -from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter -from sklearn.model_selection import train_test_split - - -def load_spoken_digit(path_recordings): - file = os.listdir(path_recordings) - - audio_data = [] # audio data - x_spec = [] # STFT spectrogram - x_spec_mini = [] # resized image, 28*28 - y_number = [] # label of number - y_speaker = [] # label of speaker - - for i in file: - x, sr = librosa.load(path_recordings + i, sr=8000) - x_stft = librosa.stft(x, n_fft=128) # Extract STFT - x_stft_db = librosa.amplitude_to_db(abs(x_stft)) # Convert an amplitude spectrogram to dB-scaled spectrogram - x_stft_db_mini = cv2.resize(x_stft_db, (28, 28)) # Resize into 28 by 28 - y_n = i[0] # number - y_s = i[2] # first letter of speaker's name - - audio_data.append(x) - x_spec.append(x_stft_db) - x_spec_mini.append(x_stft_db_mini) - y_number.append(y_n) - y_speaker.append(y_s) - - x_spec_mini = np.array(x_spec_mini) - y_number = np.array(y_number).astype(int) - y_speaker = np.array(y_speaker) - - return audio_data, x_spec_mini, y_number, y_speaker - - -def play_audio(num, audio_data, y_number, y_speaker): - print('This is number', y_number[num], 'spoken by speaker', y_speaker[num].upper(), '\nDuration:', - audio_data[num].shape[0], 'samples in', audio_data[num].shape[0] / 8000, 'seconds') - ipd.Audio(audio_data[num], rate=8000) - - -def display_spectrogram(x_spec_mini, y_number, y_speaker, num): - label_speaker = ['g', 'j', 'l', 'n', 't', 'y'] # first letter of speaker's name - fig, axes = plt.subplots(nrows=6, ncols=8, sharex=True, sharey=True, figsize=(12, 9)) - for j, speaker in enumerate(label_speaker): - opt = np.where((y_speaker == speaker) & (y_number == num))[0] - ch = np.random.choice(opt, 8, replace=False) # randomly choose 8 different samples from the speaker to display - - for i in range(8): - axes[j, i].imshow(x_spec_mini[ch[i]], cmap='hot', interpolation='nearest') - axes[j, i].axis('off') - if i == 0: - axes[j, i].text(-9, 12, 'speaker ' + speaker.upper(), size=14, va='center', rotation='vertical') - else: - continue - - plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.05, - wspace=0.05) - plt.suptitle("Short-Time Fourier Transform Spectrogram of Number " + str(num), fontsize=18) - - -def single_experiment(x, y, y_speaker, ntrees=19, model='uf', shuffle=False): - num_tasks = 6 - num_points_per_task = 3000 / num_tasks - speakers = ['g', 'j', 'l', 'n', 't', 'y'] - accuracies_across_tasks = [] - - if model == 'dnn': - x_all = x - y_all = y - - default_transformer_class = NeuralClassificationTransformer - - network = keras.Sequential() - network.add(layers.Conv2D(filters=16, kernel_size=(3, 3), activation='relu', input_shape=np.shape(x_all)[1:])) - network.add(layers.BatchNormalization()) - network.add(layers.Conv2D(filters=32, kernel_size=(3, 3), strides=2, padding="same", activation='relu')) - network.add(layers.BatchNormalization()) - network.add(layers.Conv2D(filters=64, kernel_size=(3, 3), strides=2, padding="same", activation='relu')) - network.add(layers.BatchNormalization()) - network.add(layers.Conv2D(filters=128, kernel_size=(3, 3), strides=2, padding="same", activation='relu')) - network.add(layers.BatchNormalization()) - network.add(layers.Conv2D(filters=254, kernel_size=(3, 3), strides=2, padding="same", activation='relu')) - - network.add(layers.Flatten()) - network.add(layers.BatchNormalization()) - network.add(layers.Dense(2000, activation='relu')) - network.add(layers.BatchNormalization()) - network.add(layers.Dense(2000, activation='relu')) - network.add(layers.BatchNormalization()) - network.add(layers.Dense(units=10, activation='softmax')) - - default_transformer_kwargs = { - "network": network, - "euclidean_layer_idx": -2, - "loss": "categorical_crossentropy", - "optimizer": Adam(3e-4), - "fit_kwargs": { - "epochs": 100, - "callbacks": [EarlyStopping(patience=5, monitor="val_loss")], - "verbose": False, - "validation_split": 0.33, - "batch_size": 32, - }, - } - default_voter_class = KNNClassificationVoter - default_voter_kwargs = {"k": int(np.log2(num_points_per_task))} - default_decider_class = SimpleArgmaxAverage - - elif model == 'uf': - x_all = x.reshape(3000, -1) - y_all = y - - default_transformer_class = TreeClassificationTransformer - default_transformer_kwargs = {"kwargs": {"max_depth": 30}} - default_voter_class = TreeClassificationVoter - default_voter_kwargs = {} - default_decider_class = SimpleArgmaxAverage - - if shuffle: - np.random.shuffle(speakers) - else: - pass - - for j, task0_speaker in enumerate(speakers): - progressive_learner = ProgressiveLearner(default_transformer_class=default_transformer_class, - default_transformer_kwargs=default_transformer_kwargs, - default_voter_class=default_voter_class, - default_voter_kwargs=default_voter_kwargs, - default_decider_class=default_decider_class) - - index = np.where(y_speaker == task0_speaker) - x_task0 = x_all[index] - y_task0 = y_all[index] - train_x_task0, test_x_task0, train_y_task0, test_y_task0 = train_test_split(x_task0, y_task0, - test_size=0.25) - progressive_learner.add_task( - X=train_x_task0, - y=train_y_task0, - task_id=0, - num_transformers=1 if model == "dnn" else ntrees, - transformer_voter_decider_split=[0.67, 0.33, 0], - decider_kwargs={"classes": np.unique(train_y_task0)}, - ) - task_0_predictions = progressive_learner.predict(test_x_task0, task_id=0) - accuracies_across_tasks.append(np.mean(task_0_predictions == test_y_task0)) - - for k, contribute_speaker in enumerate(speakers): - if k == j: - pass - else: - index = np.where(y_speaker == contribute_speaker) - x_train = x_all[index] - y_train = y_all[index] - progressive_learner.add_transformer( - X=x_train, - y=y_train, - transformer_data_proportion=1, - num_transformers=1 if model == "dnn" else ntrees, - backward_task_ids=[0], - ) - task_0_predictions = progressive_learner.predict(test_x_task0, task_id=0) - accuracies_across_tasks.append(np.mean(task_0_predictions == test_y_task0)) - - return accuracies_across_tasks - - -def calculate_results(accuracy_all): - """ - We have 6 tasks, each task generates 7 accuracies (among which 1 is redundant) in order to compute bte, - fte at each points, so there are 42 points in total. - - This may help: - - Position of Task0-only accuracy - ' - = = - - - - - - - = = - - - - - - - = = - - - - - - - = = - - - - - - - = = - - - - - - - = = - """ - num_tasks = 6 - acc = [[] for _ in range(num_tasks)] - for i in range(num_tasks): - for j in range(num_tasks - i): - acc[i].append(accuracy_all[7 * i + i + 1 + j]) # "7*i" first of each row, "+(i+1)" skip to the second "=" - - bte = [[] for _ in range(num_tasks)] - for i in range(num_tasks): - for j in range(num_tasks - i): - err_up_to_taskt = 1 - accuracy_all[7 * i + i + 1] - err_all_seen = 1 - accuracy_all[7 * i + i + 1 + j] # "7*i + i+1" is at the second "=" - bte[i].append(err_up_to_taskt / err_all_seen) - - fte = [[] for _ in range(num_tasks)] - for i in range(num_tasks): - err_taskt_only = 1 - accuracy_all[7 * i] - err_up_to_taskt = 1 - accuracy_all[7 * i + i + 1] - fte[i].append(err_taskt_only / err_up_to_taskt) - - te = [[] for _ in range(num_tasks)] - for i in range(num_tasks): - for j in range(num_tasks - i): - err_taskt_only = 1 - accuracy_all[7 * i] - err_all_seen = 1 - accuracy_all[7 * i + i + 1 + j] - te[i].append(err_taskt_only / err_all_seen) - - return acc, bte, fte, te - - -def plot_results(acc, bte, fte, te): - num_tasks = 6 - sns.set() - clr = ["#e41a1c", "#a65628", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#CCCC00"] - fontsize = 22 - ticksize = 20 - - fig, ax = plt.subplots(2, 2, figsize=(16, 11.5)) - ax[0][0].plot(np.arange(1, num_tasks + 1), fte, c='red', marker='.', markersize=14, linewidth=3) - ax[0][0].hlines(1, 1, num_tasks, colors='grey', linestyles='dashed', linewidth=1.5) - ax[0][0].tick_params(labelsize=ticksize) - ax[0][0].set_xlabel('Number of tasks seen', fontsize=fontsize) - ax[0][0].set_ylabel('FTE', fontsize=fontsize) - - for i in range(num_tasks): - et = np.asarray(bte[i]) - ns = np.arange(i + 1, num_tasks + 1) - ax[0][1].plot(ns, et, c='red', linewidth=2.6) - - ax[0][1].set_xlabel('Number of tasks seen', fontsize=fontsize) - ax[0][1].set_ylabel('BTE', fontsize=fontsize) - ax[0][1].tick_params(labelsize=ticksize) - ax[0][1].hlines(1, 1, num_tasks, colors='grey', linestyles='dashed', linewidth=1.5) - - for i in range(num_tasks): - et = np.asarray(te[i]) - ns = np.arange(i + 1, num_tasks + 1) - ax[1][0].plot(ns, et, c='red', linewidth=2.6) - - ax[1][0].set_xlabel('Number of tasks seen', fontsize=fontsize) - ax[1][0].set_ylabel('Transfer Efficiency', fontsize=fontsize) - # ax[1][0].set_xticks(np.arange(1,10)) - ax[1][0].tick_params(labelsize=ticksize) - ax[1][0].hlines(1, 1, num_tasks, colors='grey', linestyles='dashed', linewidth=1.5) - - for i in range(num_tasks): - et = np.asarray(acc[i]) - ns = np.arange(i + 1, num_tasks + 1) - ax[1][1].plot(ns, et, c='red', linewidth=2.6) - - ax[1][1].set_xlabel('Number of tasks seen', fontsize=fontsize) - ax[1][1].set_ylabel('Accuracy', fontsize=fontsize) - ax[1][1].tick_params(labelsize=ticksize) diff --git a/docs/_templates/autosummary/base.rst b/docs/_templates/autosummary/base.rst new file mode 100644 index 0000000000..d079c27d71 --- /dev/null +++ b/docs/_templates/autosummary/base.rst @@ -0,0 +1,9 @@ +{{ fullname | escape | underline }} + +.. currentmodule:: {{ module }} + +.. auto{{ objtype }}:: {{ objname }} + +.. raw:: html + + \ No newline at end of file diff --git a/docs/_templates/autosummary/class.rst b/docs/_templates/autosummary/class.rst new file mode 100644 index 0000000000..ee22c0489a --- /dev/null +++ b/docs/_templates/autosummary/class.rst @@ -0,0 +1,33 @@ +{{ name | escape | underline }} + +.. currentmodule:: {{ module }} + +.. autoclass:: {{ objname }} + +.. rubric:: Methods Summary + +.. autosummary:: + {% for item in members %} + {% if item in ['__call__'] %} + {{ objname }}.{{ item }} + {% endif %} + {% endfor %} + {% for item in methods %} + {% if item != '__init__' %} + {{ objname }}.{{ item }} + {% endif %} + {% endfor %} + +---- + +{% for item in methods %} +{% if item != '__init__' %} +.. automethod:: {{ objname }}.{{ item }} +{% endif %} +{% endfor %} + +.. include:: backreferences/{{ fullname }}.examples + +.. raw:: html + + diff --git a/docs/_templates/autosummary/exception.rst b/docs/_templates/autosummary/exception.rst new file mode 100644 index 0000000000..a3ee4ec8e2 --- /dev/null +++ b/docs/_templates/autosummary/exception.rst @@ -0,0 +1,10 @@ +{{ fullname | escape | underline }} + +.. currentmodule:: {{ module }} + +.. autoexception:: {{ objname }} + + +.. raw:: html + + diff --git a/docs/_templates/autosummary/function.rst b/docs/_templates/autosummary/function.rst new file mode 100644 index 0000000000..0da691cb30 --- /dev/null +++ b/docs/_templates/autosummary/function.rst @@ -0,0 +1,11 @@ +{{ name | escape | underline }} + +.. currentmodule:: {{ module }} + +.. autofunction:: {{ objname }} + +.. include:: backreferences/{{ fullname }}.examples + +.. raw:: html + + diff --git a/docs/_templates/autosummary/module.rst b/docs/_templates/autosummary/module.rst new file mode 100644 index 0000000000..3a4a175ecd --- /dev/null +++ b/docs/_templates/autosummary/module.rst @@ -0,0 +1,54 @@ +.. raw:: html + + + +``{{ fullname }}`` +{% for i in range(fullname|length + 15) %}-{% endfor %} + +.. raw:: html + + + +.. automodule:: {{ fullname }} + +{% block classes %} +{% if classes %} +.. rubric:: Classes + +.. autosummary:: + :toctree: ./ +{% for item in classes %} + {{ fullname }}.{{ item }} +{% endfor %} +{% endif %} +{% endblock %} + + +{% block functions %} +{% if functions %} +.. rubric:: Functions + +.. autosummary:: + :toctree: ./ +{% for item in functions %} + {{ fullname }}.{{ item }} +{% endfor %} +{% endif %} +{% endblock %} + + +{% block exceptions %} +{% if exceptions %} +.. rubric:: Exceptions + +.. autosummary:: + :toctree: ./ +{% for item in exceptions %} + {{ fullname }}.{{ item }} +{% endfor %} +{% endif %} +{% endblock %} + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.ClassificationProgressiveLearner.rst b/docs/api/generated/proglearn.ClassificationProgressiveLearner.rst new file mode 100644 index 0000000000..58a3731e40 --- /dev/null +++ b/docs/api/generated/proglearn.ClassificationProgressiveLearner.rst @@ -0,0 +1,184 @@ +ClassificationProgressiveLearner +================================ + +.. currentmodule:: proglearn + +.. autoclass:: ClassificationProgressiveLearner + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ClassificationProgressiveLearner.add_task + + + + ClassificationProgressiveLearner.add_transformer + + + + ClassificationProgressiveLearner.get_task_ids + + + + ClassificationProgressiveLearner.get_transformer_ids + + + + ClassificationProgressiveLearner.predict + + + + ClassificationProgressiveLearner.predict_proba + + + + ClassificationProgressiveLearner.set_decider + + + + ClassificationProgressiveLearner.set_transformer + + + + ClassificationProgressiveLearner.set_voter + + + +---- + + + + + +.. automethod:: ClassificationProgressiveLearner.add_task + + + +.. automethod:: ClassificationProgressiveLearner.add_transformer + + + +.. automethod:: ClassificationProgressiveLearner.get_task_ids + + + +.. automethod:: ClassificationProgressiveLearner.get_transformer_ids + + + +.. automethod:: ClassificationProgressiveLearner.predict + + + +.. automethod:: ClassificationProgressiveLearner.predict_proba + + + +.. automethod:: ClassificationProgressiveLearner.set_decider + + + +.. automethod:: ClassificationProgressiveLearner.set_transformer + + + +.. automethod:: ClassificationProgressiveLearner.set_voter + + + +.. include:: backreferences/proglearn.ClassificationProgressiveLearner.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.KNNClassificationVoter.rst b/docs/api/generated/proglearn.KNNClassificationVoter.rst new file mode 100644 index 0000000000..768f4a2930 --- /dev/null +++ b/docs/api/generated/proglearn.KNNClassificationVoter.rst @@ -0,0 +1,166 @@ +KNNClassificationVoter +====================== + +.. currentmodule:: proglearn + +.. autoclass:: KNNClassificationVoter + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + KNNClassificationVoter.fit + + + + KNNClassificationVoter.get_params + + + + KNNClassificationVoter.predict + + + + KNNClassificationVoter.predict_proba + + + + KNNClassificationVoter.score + + + + KNNClassificationVoter.set_params + + + +---- + + + + + +.. automethod:: KNNClassificationVoter.fit + + + +.. automethod:: KNNClassificationVoter.get_params + + + +.. automethod:: KNNClassificationVoter.predict + + + +.. automethod:: KNNClassificationVoter.predict_proba + + + +.. automethod:: KNNClassificationVoter.score + + + +.. automethod:: KNNClassificationVoter.set_params + + + +.. include:: backreferences/proglearn.KNNClassificationVoter.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.LifelongClassificationForest.rst b/docs/api/generated/proglearn.LifelongClassificationForest.rst new file mode 100644 index 0000000000..bbaa604a7e --- /dev/null +++ b/docs/api/generated/proglearn.LifelongClassificationForest.rst @@ -0,0 +1,184 @@ +LifelongClassificationForest +============================ + +.. currentmodule:: proglearn + +.. autoclass:: LifelongClassificationForest + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + LifelongClassificationForest.add_task + + + + LifelongClassificationForest.add_transformer + + + + LifelongClassificationForest.get_task_ids + + + + LifelongClassificationForest.get_transformer_ids + + + + LifelongClassificationForest.predict + + + + LifelongClassificationForest.predict_proba + + + + LifelongClassificationForest.set_decider + + + + LifelongClassificationForest.set_transformer + + + + LifelongClassificationForest.set_voter + + + +---- + + + + + +.. automethod:: LifelongClassificationForest.add_task + + + +.. automethod:: LifelongClassificationForest.add_transformer + + + +.. automethod:: LifelongClassificationForest.get_task_ids + + + +.. automethod:: LifelongClassificationForest.get_transformer_ids + + + +.. automethod:: LifelongClassificationForest.predict + + + +.. automethod:: LifelongClassificationForest.predict_proba + + + +.. automethod:: LifelongClassificationForest.set_decider + + + +.. automethod:: LifelongClassificationForest.set_transformer + + + +.. automethod:: LifelongClassificationForest.set_voter + + + +.. include:: backreferences/proglearn.LifelongClassificationForest.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.LifelongClassificationNetwork.rst b/docs/api/generated/proglearn.LifelongClassificationNetwork.rst new file mode 100644 index 0000000000..1543554e31 --- /dev/null +++ b/docs/api/generated/proglearn.LifelongClassificationNetwork.rst @@ -0,0 +1,184 @@ +LifelongClassificationNetwork +============================= + +.. currentmodule:: proglearn + +.. autoclass:: LifelongClassificationNetwork + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + LifelongClassificationNetwork.add_task + + + + LifelongClassificationNetwork.add_transformer + + + + LifelongClassificationNetwork.get_task_ids + + + + LifelongClassificationNetwork.get_transformer_ids + + + + LifelongClassificationNetwork.predict + + + + LifelongClassificationNetwork.predict_proba + + + + LifelongClassificationNetwork.set_decider + + + + LifelongClassificationNetwork.set_transformer + + + + LifelongClassificationNetwork.set_voter + + + +---- + + + + + +.. automethod:: LifelongClassificationNetwork.add_task + + + +.. automethod:: LifelongClassificationNetwork.add_transformer + + + +.. automethod:: LifelongClassificationNetwork.get_task_ids + + + +.. automethod:: LifelongClassificationNetwork.get_transformer_ids + + + +.. automethod:: LifelongClassificationNetwork.predict + + + +.. automethod:: LifelongClassificationNetwork.predict_proba + + + +.. automethod:: LifelongClassificationNetwork.set_decider + + + +.. automethod:: LifelongClassificationNetwork.set_transformer + + + +.. automethod:: LifelongClassificationNetwork.set_voter + + + +.. include:: backreferences/proglearn.LifelongClassificationNetwork.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.NeuralClassificationTransformer.rst b/docs/api/generated/proglearn.NeuralClassificationTransformer.rst new file mode 100644 index 0000000000..8bc684989d --- /dev/null +++ b/docs/api/generated/proglearn.NeuralClassificationTransformer.rst @@ -0,0 +1,154 @@ +NeuralClassificationTransformer +=============================== + +.. currentmodule:: proglearn + +.. autoclass:: NeuralClassificationTransformer + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + NeuralClassificationTransformer.fit + + + + NeuralClassificationTransformer.fit_transform + + + + NeuralClassificationTransformer.get_params + + + + NeuralClassificationTransformer.set_params + + + + NeuralClassificationTransformer.transform + + + +---- + + + + + +.. automethod:: NeuralClassificationTransformer.fit + + + +.. automethod:: NeuralClassificationTransformer.fit_transform + + + +.. automethod:: NeuralClassificationTransformer.get_params + + + +.. automethod:: NeuralClassificationTransformer.set_params + + + +.. automethod:: NeuralClassificationTransformer.transform + + + +.. include:: backreferences/proglearn.NeuralClassificationTransformer.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.SimpleArgmaxAverage.rst b/docs/api/generated/proglearn.SimpleArgmaxAverage.rst new file mode 100644 index 0000000000..b00680eda1 --- /dev/null +++ b/docs/api/generated/proglearn.SimpleArgmaxAverage.rst @@ -0,0 +1,166 @@ +SimpleArgmaxAverage +=================== + +.. currentmodule:: proglearn + +.. autoclass:: SimpleArgmaxAverage + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + SimpleArgmaxAverage.fit + + + + SimpleArgmaxAverage.get_params + + + + SimpleArgmaxAverage.predict + + + + SimpleArgmaxAverage.predict_proba + + + + SimpleArgmaxAverage.score + + + + SimpleArgmaxAverage.set_params + + + +---- + + + + + +.. automethod:: SimpleArgmaxAverage.fit + + + +.. automethod:: SimpleArgmaxAverage.get_params + + + +.. automethod:: SimpleArgmaxAverage.predict + + + +.. automethod:: SimpleArgmaxAverage.predict_proba + + + +.. automethod:: SimpleArgmaxAverage.score + + + +.. automethod:: SimpleArgmaxAverage.set_params + + + +.. include:: backreferences/proglearn.SimpleArgmaxAverage.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.TreeClassificationTransformer.rst b/docs/api/generated/proglearn.TreeClassificationTransformer.rst new file mode 100644 index 0000000000..ca0f6e446f --- /dev/null +++ b/docs/api/generated/proglearn.TreeClassificationTransformer.rst @@ -0,0 +1,154 @@ +TreeClassificationTransformer +============================= + +.. currentmodule:: proglearn + +.. autoclass:: TreeClassificationTransformer + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + TreeClassificationTransformer.fit + + + + TreeClassificationTransformer.fit_transform + + + + TreeClassificationTransformer.get_params + + + + TreeClassificationTransformer.set_params + + + + TreeClassificationTransformer.transform + + + +---- + + + + + +.. automethod:: TreeClassificationTransformer.fit + + + +.. automethod:: TreeClassificationTransformer.fit_transform + + + +.. automethod:: TreeClassificationTransformer.get_params + + + +.. automethod:: TreeClassificationTransformer.set_params + + + +.. automethod:: TreeClassificationTransformer.transform + + + +.. include:: backreferences/proglearn.TreeClassificationTransformer.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.TreeClassificationVoter.rst b/docs/api/generated/proglearn.TreeClassificationVoter.rst new file mode 100644 index 0000000000..62859072dd --- /dev/null +++ b/docs/api/generated/proglearn.TreeClassificationVoter.rst @@ -0,0 +1,168 @@ +TreeClassificationVoter +======================= + +.. currentmodule:: proglearn + +.. autoclass:: TreeClassificationVoter + +.. rubric:: Methods Summary + +.. autosummary:: + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + TreeClassificationVoter.fit + + + + TreeClassificationVoter.get_params + + + + TreeClassificationVoter.predict + + + + TreeClassificationVoter.predict_proba + + + + TreeClassificationVoter.score + + + + TreeClassificationVoter.set_params + + + +---- + + + + + +.. automethod:: TreeClassificationVoter.fit + + + +.. automethod:: TreeClassificationVoter.get_params + + + +.. automethod:: TreeClassificationVoter.predict + + + +.. automethod:: TreeClassificationVoter.predict_proba + + + +.. automethod:: TreeClassificationVoter.score + + + +.. automethod:: TreeClassificationVoter.set_params + + + +.. include:: backreferences/proglearn.TreeClassificationVoter.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.sims.generate_gaussian_parity.rst b/docs/api/generated/proglearn.sims.generate_gaussian_parity.rst new file mode 100644 index 0000000000..40804cb799 --- /dev/null +++ b/docs/api/generated/proglearn.sims.generate_gaussian_parity.rst @@ -0,0 +1,12 @@ +generate\_gaussian\_parity +========================== + +.. currentmodule:: proglearn.sims + +.. autofunction:: generate_gaussian_parity + +.. include:: backreferences/proglearn.sims.generate_gaussian_parity.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/generated/proglearn.sims.generate_spirals.rst b/docs/api/generated/proglearn.sims.generate_spirals.rst new file mode 100644 index 0000000000..8be763f9db --- /dev/null +++ b/docs/api/generated/proglearn.sims.generate_spirals.rst @@ -0,0 +1,12 @@ +generate\_spirals +================= + +.. currentmodule:: proglearn.sims + +.. autofunction:: generate_spirals + +.. include:: backreferences/proglearn.sims.generate_spirals.examples + +.. raw:: html + + \ No newline at end of file diff --git a/docs/api/index.rst b/docs/api/index.rst new file mode 100644 index 0000000000..c1e1677265 --- /dev/null +++ b/docs/api/index.rst @@ -0,0 +1,93 @@ +.. api: + +API Reference +============= + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Transformers +----------------- + +.. autosummary:: + :toctree: generated/ + + NeuralClassificationTransformer + TreeClassificationTransformer + + + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Voters +------------- + +.. autosummary:: + :toctree: generated/ + + TreeClassificationVoter + KNNClassificationVoter + + + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Deciders +----------------- + +.. autosummary:: + :toctree: generated/ + + SimpleArgmaxAverage + + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Progressive_Learner +--------------------------------------- + +.. autosummary:: + :toctree: generated/ + + ClassificationProgressiveLearner + + + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Forest +----------------- + +.. autosummary:: + :toctree: generated/ + + LifelongClassificationForest + +.. automodule:: proglearn + +.. currentmodule:: proglearn + +Network +----------------- + +.. autosummary:: + :toctree: generated/ + + LifelongClassificationNetwork + + + + + + + + diff --git a/docs/conf.py b/docs/conf.py index f4401c5e4b..5d2a0b4145 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -19,14 +19,14 @@ # -- Project information ----------------------------------------------------- -project = 'ProgLearn' -copyright = '2020, Will LeVine, Jayanta Dey, Hayden Helm' -author = 'Will LeVine, Jayanta Dey, Hayden Helm' +project = "ProgLearn" +copyright = "2020, Will LeVine, Jayanta Dey, Hayden Helm" +author = "Will LeVine, Jayanta Dey, Hayden Helm" # The short X.Y version -version = '' +version = "" # The full version, including alpha/beta/rc tags -release = '0.01' +release = "0.01" # -- Extension configuration ------------------------------------------------- @@ -99,7 +99,7 @@ # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. -htmlhelp_basename = 'ProgLearnDoc' +htmlhelp_basename = "ProgLearnDoc" # -- Options for LaTeX output ------------------------------------------------ @@ -108,15 +108,12 @@ # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. # # 'preamble': '', - # Latex figure (float) alignment # # 'figure_align': 'htbp', @@ -126,8 +123,13 @@ # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ - (master_doc, 'ProgLearn.tex', 'ProgLearn Documentation', - 'Will LeVine, Jayanta Dey, Hayden Helm', 'manual'), + ( + master_doc, + "ProgLearn.tex", + "ProgLearn Documentation", + "Will LeVine, Jayanta Dey, Hayden Helm", + "manual", + ), ] @@ -135,10 +137,7 @@ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). -man_pages = [ - (master_doc, 'proglearn', 'ProgLearn Documentation', - [author], 1) -] +man_pages = [(master_doc, "proglearn", "ProgLearn Documentation", [author], 1)] # -- Options for Texinfo output ---------------------------------------------- @@ -147,9 +146,15 @@ # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ - (master_doc, 'ProgLearn', 'ProgLearn Documentation', - author, 'ProgLearn', 'One line description of project.', - 'Miscellaneous'), + ( + master_doc, + "ProgLearn", + "ProgLearn Documentation", + author, + "ProgLearn", + "One line description of project.", + "Miscellaneous", + ), ] @@ -168,7 +173,7 @@ # epub_uid = '' # A list of files that should not be packed into the epub file. -epub_exclude_files = ['search.html'] +epub_exclude_files = ["search.html"] # -- Extension configuration ------------------------------------------------- diff --git a/docs/experiments.rst b/docs/experiments.rst new file mode 100644 index 0000000000..642dbd8c8e --- /dev/null +++ b/docs/experiments.rst @@ -0,0 +1,23 @@ +********* +Experiments +********* + +The following experiments illustrate specific tests using the ``ProgLearn`` package. + +.. toctree:: + :maxdepth: 1 + + experiments/fte_bte_food101 + experiments/fte_bte_mnist + experiments/label_shuffle_exp + experiments/random_class_exp + experiments/rotation_cifar + experiments/recruitment_exp + experiments/recruitment_across_datasets + experiments/spiral_exp + experiments/spoken_digit_exp + experiments/xor_rxor_exp + experiments/xor_rxor_with_cpd + experiments/xor_rxor_with_icp + experiments/xor_xnor_exp + experiments/double_descent_RF diff --git a/docs/tutorials/ConvRF_Kappas.ipynb b/docs/experiments/ConvRF_Kappas.ipynb similarity index 99% rename from docs/tutorials/ConvRF_Kappas.ipynb rename to docs/experiments/ConvRF_Kappas.ipynb index ef55f69c40..08b07efcff 100644 --- a/docs/tutorials/ConvRF_Kappas.ipynb +++ b/docs/experiments/ConvRF_Kappas.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -50,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -74,6 +74,7 @@ "def run():\n", " torch.multiprocessing.freeze_support()\n", "\n", + "\n", "if __name__ == \"__main__\":\n", " run()" ] @@ -120,6 +121,7 @@ "cifar_test_images = normalize(cifar_testset.data)\n", "cifar_test_labels = np.array(cifar_testset.targets)\n", "\n", + "\n", "# transform\n", "transform = transforms.Compose(\n", " [transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]\n", @@ -145,45 +147,46 @@ "source": [ "# define 3 CNN arhcitectures\n", "class SimpleCNNOneFilter(nn.Module):\n", - " \n", " def __init__(self):\n", - " super(SimpleCNNOneFilter, self).__init__() \n", + " super(SimpleCNNOneFilter, self).__init__()\n", " self.conv1 = nn.Conv2d(3, 1, kernel_size=10, stride=2)\n", " self.fc1 = nn.Linear(144, 10)\n", - " \n", + "\n", " def forward(self, x):\n", " x = F.relu(self.conv1(x))\n", " x = x.view(-1, 144)\n", " x = self.fc1(x)\n", - " return(x)\n", + " return x\n", + "\n", "\n", "class SimpleCNN32Filter(nn.Module):\n", - " \n", " def __init__(self):\n", - " super(SimpleCNN32Filter, self).__init__() \n", - " self.conv1 = nn.Conv2d(3, 32, kernel_size=10, stride=2) # try 64 too, if possible\n", - " self.fc1 = nn.Linear(144*32, 10)\n", - " \n", + " super(SimpleCNN32Filter, self).__init__()\n", + " self.conv1 = nn.Conv2d(\n", + " 3, 32, kernel_size=10, stride=2\n", + " ) # try 64 too, if possible\n", + " self.fc1 = nn.Linear(144 * 32, 10)\n", + "\n", " def forward(self, x):\n", " x = F.relu(self.conv1(x))\n", - " x = x.view(-1, 144*32)\n", + " x = x.view(-1, 144 * 32)\n", " x = self.fc1(x)\n", - " return(x)\n", + " return x\n", + "\n", "\n", "class SimpleCNN32Filter2Layers(nn.Module):\n", - " \n", " def __init__(self):\n", - " super(SimpleCNN32Filter2Layers, self).__init__() \n", + " super(SimpleCNN32Filter2Layers, self).__init__()\n", " self.conv1 = nn.Conv2d(3, 32, kernel_size=10, stride=2)\n", " self.conv2 = nn.Conv2d(32, 32, kernel_size=7, stride=1)\n", - " self.fc1 = nn.Linear(36*32, 10)\n", - " \n", + " self.fc1 = nn.Linear(36 * 32, 10)\n", + "\n", " def forward(self, x):\n", " x = F.relu(self.conv1(x))\n", " x = F.relu(self.conv2(x))\n", - " x = x.view(-1, 36*32)\n", + " x = x.view(-1, 36 * 32)\n", " x = self.fc1(x)\n", - " return(x)\n" + " return x" ] }, { @@ -375,7 +378,7 @@ "source": [ "## Define kappa plots\n", "\n", - "Here we define a function for plotting pairwise kappa differences" + "Here we define a function for plotting pairwise kappa differences." ] }, { @@ -445,7 +448,7 @@ "source": [ "## Plot kappa between ConvRF and NaiveRF\n", "\n", - "Now we plot the Kappa Statistic differences between ConvRF and a naive forest." + "Now we plot the Kappa Statistic differences between ConvRF and naive RF." ] }, { @@ -504,8 +507,7 @@ } ], "source": [ - "#convrf vs naiverf\n", - "plot_kappa(1, 0);" + "plot_kappa(1, 0)" ] }, { @@ -573,8 +575,7 @@ } ], "source": [ - "#ConvRF vs simple cnn\n", - "plot_kappa(1, 3);" + "plot_kappa(1, 3)" ] }, { @@ -642,8 +643,7 @@ } ], "source": [ - "#ConvRF vs CNN 32 filter\n", - "plot_kappa(1, 5);" + "plot_kappa(1, 5)" ] } ], diff --git a/docs/tutorials/ConvRF_Kappas_3_Class.ipynb b/docs/experiments/ConvRF_Kappas_3_Class.ipynb similarity index 100% rename from docs/tutorials/ConvRF_Kappas_3_Class.ipynb rename to docs/experiments/ConvRF_Kappas_3_Class.ipynb diff --git a/docs/experiments/double_descent_RF.ipynb b/docs/experiments/double_descent_RF.ipynb new file mode 100644 index 0000000000..d55e1b2d4a --- /dev/null +++ b/docs/experiments/double_descent_RF.ipynb @@ -0,0 +1,533 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "language_info": { + "name": "python", + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "version": "3.7.0-final" + }, + "orig_nbformat": 2, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "npconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": 3, + "kernelspec": { + "name": "python37064bitndplcondae540828723544f059444a8cad21fd81e", + "display_name": "Python 3.7.0 64-bit ('nd-pl': conda)" + }, + "colab": { + "name": "Double-descent: RF.ipynb", + "provenance": [], + "collapsed_sections": [] + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "GRqij8-m_Q40" + }, + "source": [ + "# Double-descent phenomena on Random Forest\n", + "The double descent risk curve, a phenomenon where test error first gets better, then worse, and then gets better again, is one of the most interesting phenomena in understanding and analyzing modern machine learning. \n", + "\n", + "We provide an example where ensembles of either shallow or deep trees can achieve Bayes optimal performance, but only the ensemble of deep trees exhibit the double descent phenomenon. This is because when the trees are deep, more trees (parameters) are essentially only smoothing, whereas when the trees are shallow, more trees (parameters) are both smoothing and adding capacity. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kuUdlTIW_ndz" + }, + "source": [ + "*Let's first import the necessary packages and modules*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "e404u_OBMC2U" + }, + "source": [ + "import random\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.base import clone\n", + "from sklearn import metrics\n", + "from sklearn import tree\n", + "from tqdm import tqdm\n", + "\n", + "from sklearn.metrics import log_loss" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iKl67mmGAmf0" + }, + "source": [ + "The experimental setup is as follows. We generate a two-dimensional Gaussian XOR dataset as a benchmark with four spherically symmetric Gaussians. Class one has two Gaussians with centers (-1,-1) and (1,1), whereas the other class has two Gaussians with means (1,-1) and (-1,1). There will be 5096 random samples from the two classes, which will be split into 4096 training samples and 1000 testing samples." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KNfzRDb7Atpk" + }, + "source": [ + "*Here, we define the function to generate the Gaussian XOR samples.*\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "HyLme8BCMC2h" + }, + "source": [ + "def generate_gaussian_parity(n, cov_scale=1, angle_params=None, k=1, acorn=None):\n", + " means = [[-1, -1], [1, 1], [1, -1], [-1, 1]]\n", + " blob = np.concatenate(\n", + " [\n", + " np.random.multivariate_normal(\n", + " mean, cov_scale * np.eye(len(mean)), size=int(n / 4)\n", + " )\n", + " for mean in means\n", + " ]\n", + " )\n", + "\n", + " X = np.zeros_like(blob)\n", + " Y = np.concatenate([np.ones((int(n / 4))) * int(i < 2) for i in range(len(means))])\n", + " X[:, 0] = blob[:, 0] * np.cos(angle_params * np.pi / 180) + blob[:, 1] * np.sin(\n", + " angle_params * np.pi / 180\n", + " )\n", + " X[:, 1] = -blob[:, 0] * np.sin(angle_params * np.pi / 180) + blob[:, 1] * np.cos(\n", + " angle_params * np.pi / 180\n", + " )\n", + " return X, Y.astype(int)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GOegGz2uBnfs" + }, + "source": [ + " *Let us visualize the Gaussian XOR dataset.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "hxfkPIoRHZYK", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 564 + }, + "outputId": "99bab5e7-c2cd-4019-a74d-a6aef5c09073" + }, + "source": [ + "import seaborn as sns\n", + "def get_colors(colors, inds):\n", + " c = [colors[i] for i in inds]\n", + " return c\n", + "\n", + "def plot_xor(data, labels, title):\n", + " colors = sns.color_palette(\"dark\", n_colors=2)\n", + " fig, ax = plt.subplots(1, 1, figsize=(7, 7))\n", + " ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=20, alpha=0.25)\n", + " ax.set_xticks([])\n", + " ax.set_yticks([])\n", + " ax.set_title(title, fontsize=30)\n", + " plt.tight_layout()\n", + " ax.axis(\"off\")\n", + " ax.set_position([0, 0, 1, 1])\n", + " # plt.savefig('gaussian_xor.svg', bbox_inches='tight', transparent=True)\n", + " plt.show()\n", + " \n", + "X_test, y_test = generate_gaussian_parity(n=5096, angle_params=0)\n", + "plot_xor(X_test, y_test, 'Gaussian XOR')" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0dyGepcxB6Da" + }, + "source": [ + "*Since we will work on Random Forest and Gradient Boosting, we will define a function called ```get_tree``` to get an instance of either one of the models with a given set of parameters.*\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "SQbFy2tVh-s3" + }, + "source": [ + "def get_tree(method='rf', max_depth=1, n_estimators=1, max_leaf_nodes = None ):\n", + " if method == 'gb':\n", + " rf = GradientBoostingClassifier(max_depth=max_depth, n_estimators=n_estimators, random_state=1514, max_leaf_nodes=max_leaf_nodes, learning_rate=1, criterion='mse')\n", + " else:\n", + " rf = RandomForestClassifier(max_depth=max_depth, n_estimators=n_estimators, random_state=1514, max_leaf_nodes=max_leaf_nodes)\n", + " return rf\n" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "39L11oxmDAcz" + }, + "source": [ + "*Now, we introduce a helper function ```gini_impurity_mean``` that will be used to calculate a Gini impurity of the algorthms.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "LR9NEZP8TQa1" + }, + "source": [ + "def gini_impurity(P1=0, P2=0):\n", + " denom = P1 + P2\n", + " Ginx = 2 * (P1/denom) * (P2/denom)\n", + " return(Ginx)\n", + "def gini_impurity_mean(rf, data, label):\n", + " leaf_idxs = rf.apply(data)\n", + "\n", + " predict = label\n", + " gini_mean_score = []\n", + "\n", + " for t in range(leaf_idxs.shape[1]):\n", + " gini_arr = []\n", + " for l in np.unique(leaf_idxs[:,t]):\n", + " cur_l_idx = predict[leaf_idxs[:,t]==l]\n", + " pos_count = np.sum(cur_l_idx)\n", + " neg_count = len(cur_l_idx) - pos_count\n", + " gini = gini_impurity(pos_count, neg_count)\n", + " gini_arr.append(gini) \n", + "\n", + " gini_mean_score.append(np.array(gini_arr).mean())\n", + " return np.array(gini_mean_score).mean()" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Mv1J_d1kDmKx" + }, + "source": [ + "*Here we will compute the estimated optimal bayes error using HP divergence from the ```smartsvm``` package.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "YUKhUh_OYiJr" + }, + "source": [ + "# Optimal Bayes Error\n", + "from smartsvm import hp_estimate, compute_error_graph\n", + "import numpy as np\n", + "bayes_errors = []\n", + "for _ in range(1000):\n", + " X_train, y_train = generate_gaussian_parity(n=4096, angle_params=0)\n", + " X_test, y_test = generate_gaussian_parity(n=1000, angle_params=0)\n", + " optimal_err = hp_estimate(X_test[y_test==0], X_test[y_test==1], normalize=False)\n", + " bayes_errors.append(optimal_err) \n", + " # G = compute_error_graph(X_test, y_test)\n", + "print('Bayes Optimal Error: ', np.array(bayes_errors).mean() )" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PbEQktELECGE" + }, + "source": [ + "*This is the main function we can call for an experiment of decision forests with shallow and deep trees.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "g4E3_zUuMC2n" + }, + "source": [ + "def rf_dd_exp(N=4096, iterations=100, max_node=None, n_est=10):\n", + " # lists to store the average error and gini scores\n", + " train_mean_error, test_mean_error = [], []\n", + " train_mean_error_log, test_mean_error_log = [], []\n", + " gini_train_mean_score, gini_test_mean_score = [], []\n", + "\n", + " # draw the training and test samples \n", + " X_train, y_train = generate_gaussian_parity(n=N, angle_params=0)\n", + " X_test, y_test = generate_gaussian_parity(n=N, angle_params=0)\n", + "\n", + " # set 'rf' for Random Forest and 'gb' for Gradient Boosting\n", + " method = 'rf' \n", + "\n", + " # if max node is None, we set it to the estimate of max nodes to overfit the training \n", + " if max_node is None:\n", + " rf = get_tree(method, max_depth=None)\n", + " rf.fit(X_train, y_train)\n", + " if method == 'gb':\n", + " max_node = (sum([estimator[0].get_n_leaves() for estimator in rf.estimators_])) + 50\n", + " else:\n", + " max_node = sum([estimator.get_n_leaves() for estimator in rf.estimators_]) +50\n", + " \n", + " train_error, test_error = [list() for _ in range(iterations)], [list() for _ in range(iterations)]\n", + " train_error_log, test_error_log = [list() for _ in range(iterations)], [list() for _ in range(iterations)]\n", + " gini_score_train, gini_score_test = [list() for _ in range(iterations)], [list() for _ in range(iterations)]\n", + " nodes = [list() for _ in range(iterations)]\n", + "\n", + " for iter_i in tqdm(range(iterations), position=0, leave=True):\n", + " ## uncomment if you want to draw new samples for every iterations \n", + " # X_train, y_train = generate_gaussian_parity(n=N, angle_params=0)\n", + " # X_test, y_test = generate_gaussian_parity(n=1000, angle_params=0)\n", + " \n", + " # we start with a single tree of depth 1\n", + " rf = get_tree(method, max_depth=1)\n", + "\n", + " for depth in (range(1, max_node + n_est)):\n", + "\n", + " if depth < max_node:\n", + " rf.max_depth += 1\n", + " else:\n", + " rf.n_estimators += 3\n", + " # rf.max_depth += 10\n", + " \n", + " rf.fit(X_train, y_train)\n", + "\n", + " # if x-axis is number of leaf nodes\n", + " if method == 'gb':\n", + " nodes[iter_i].append(sum([(estimator[0].get_n_leaves()) for estimator in rf.estimators_])) \n", + " else:\n", + " nodes[iter_i].append(sum([estimator.get_n_leaves() for estimator in rf.estimators_]))\n", + " \n", + " ## uncomment if x-axis is number of polytopes\n", + " # leaf_idxs = rf.apply(X_train)\n", + " # nodes[iter_i].append(len(np.unique(leaf_idxs))) \n", + "\n", + " gini_score_train[iter_i].append(gini_impurity_mean(rf, X_train, y_train))\n", + " gini_score_test[iter_i].append(gini_impurity_mean(rf, X_test, y_test))\n", + " train_error[iter_i].append(1 - rf.score(X_train, y_train))\n", + " test_error[iter_i].append(1 - rf.score(X_test, y_test))\n", + " train_error_log[iter_i].append(log_loss(y_train, rf.predict(X_train)))\n", + " test_error_log[iter_i].append(log_loss(y_test, rf.predict(X_test)))\n", + " \n", + " nodes[iter_i] = np.array(nodes[iter_i])\n", + " train_error[iter_i] = np.array(train_error[iter_i])\n", + " test_error[iter_i] = np.array(test_error[iter_i])\n", + " train_error_log[iter_i] = np.array(train_error_log[iter_i])\n", + " test_error_log[iter_i] = np.array(test_error_log[iter_i])\n", + " gini_score_train[iter_i] = np.array(gini_score_train[iter_i])\n", + " gini_score_test[iter_i] = np.array(gini_score_test[iter_i])\n", + "\n", + " train_mean_error = np.array(train_error).mean(axis=0)\n", + " test_mean_error = np.array(test_error).mean(axis=0)\n", + " train_mean_error_log = np.array(train_error_log).mean(axis=0)\n", + " test_mean_error_log = np.array(test_error_log).mean(axis=0)\n", + " nodes_mean = np.array(nodes).mean(axis=0)\n", + " gini_train_mean_score = np.array(gini_score_train).mean(axis=0)\n", + " gini_test_mean_score = np.array(gini_score_test).mean(axis=0)\n", + " \n", + " error_dict = {'train_err': train_mean_error, \n", + " 'test_err': test_mean_error,\n", + " 'train_err_log': train_mean_error_log,\n", + " 'test_err_log': test_mean_error_log,\n", + " 'train_gini': gini_train_mean_score,\n", + " 'test_gini': gini_test_mean_score,\n", + " 'nodes': nodes_mean}\n", + " return error_dict" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ITJ7VZtNEd-u" + }, + "source": [ + "*Run the two experiments: one with deep trees and the other with shallow trees.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "hUIvDgnXcD5u", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "55bd4916-abe8-4e6a-e699-1c0a95ceeac5" + }, + "source": [ + "iterations = 100 # the number of repetitions of a single run of the algorithm\n", + "# Run DeepRF\n", + "error_dd = rf_dd_exp(iterations=iterations)\n", + "# Run ShallowRF\n", + "error_5 = rf_dd_exp(max_node=15, n_est=100, iterations=iterations)\n", + "# np.save('errors.npy', [error_5, error_dd])" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "text": [ + " 56%|█████▌ | 56/100 [28:01<22:19, 30.44s/it]" + ], + "name": "stderr" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "2OqN9XX1PTgq" + }, + "source": [ + "# [error_5, error_dd] = np.load('errors.npy', allow_pickle=True)" + ], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6hZwxGShEtzz" + }, + "source": [ + "*Visualize the generalization error and gini impurity of both decision tree variants.*" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "wvKc2CZAC6-A", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 782 + }, + "outputId": "f2e63636-f8de-4536-bb88-9b7782f5ba66" + }, + "source": [ + "import seaborn as sns\n", + "sns.set()\n", + "sns.color_palette()\n", + "\n", + "##Figure params\n", + "fontsize = 26\n", + "ticksize = 20\n", + "plt.figure(figsize=(14,10))\n", + "plt.tick_params(labelsize=ticksize)\n", + "plt.tight_layout()\n", + "\n", + "# Misclassification Error\n", + "plt.subplot(2, 2, 1)\n", + "plt.plot(error_dd['nodes'], error_dd['train_err'], label=\"training\")\n", + "plt.plot(error_dd['nodes'], error_dd['test_err'], '-r', label=\"test\")\n", + "plt.xscale(\"log\")\n", + "plt.ylabel('Generalization error', fontsize=fontsize)\n", + "plt.locator_params(axis='y', nbins=6)\n", + "plt.tick_params(axis='both', which='major', labelsize=ticksize)\n", + "plt.plot([0, np.max(error_dd['nodes'])], [0.289, 0.289], '--', color='gray', linewidth=1, label='optimal bayes error')\n", + "plt.title('RF with overfitting trees', fontsize=fontsize)\n", + "\n", + "plt.subplot(2, 2, 2)\n", + "plt.plot((error_5['nodes']), error_5['train_err'], label=\"training\")\n", + "plt.plot((error_5['nodes']), error_5['test_err'], '-r', label=\"test\")\n", + "plt.xscale(\"log\")\n", + "plt.locator_params(axis='y', nbins=6)\n", + "plt.tick_params(axis='both', which='major', labelsize=ticksize)\n", + "plt.plot([0, np.max(error_5['nodes'])], [0.289, 0.289], '--', color='gray', linewidth=1, label='optimal bayes error')\n", + "plt.title('RF with shallow trees', fontsize=fontsize)\n", + "\n", + "# Gini Impurity \n", + "plt.subplot(2, 2, 3)\n", + "plt.plot((error_dd['nodes']), error_dd['train_gini'], label=\"training\")\n", + "plt.plot((error_dd['nodes']), error_dd['test_gini'], '-r', label=\"test\")\n", + "plt.xscale(\"log\")\n", + "plt.ylabel('Gini impurity', fontsize=fontsize)\n", + "plt.locator_params(axis='y', nbins=6.5)\n", + "plt.tick_params(axis='both', which='major', labelsize=ticksize)\n", + "\n", + "plt.subplot(2, 2, 4)\n", + "plt.plot((error_5['nodes']), error_5['train_gini'], label=\"training\")\n", + "plt.plot((error_5['nodes']), error_5['test_gini'], '-r', label=\"test\")\n", + "plt.xscale(\"log\")\n", + "plt.locator_params(axis='y', nbins=6.5)\n", + "plt.tick_params(axis='both', which='major', labelsize=ticksize)\n", + "ax = plt.gca()\n", + "lines, labels = ax.get_legend_handles_labels() \n", + "plt.legend( lines, labels, loc = 'best', bbox_to_anchor = (0.0,-0.03,1,1),\n", + " bbox_transform = plt.gcf().transFigure , fontsize=fontsize-5, frameon=False)\n", + "\n", + "plt.text(0.7, 0.04, 'Total leaf nodes', ha='center', fontsize=fontsize)\n", + "\n", + "sns.despine();\n", + "plt.savefig('RF_dd.pdf', bbox_inches='tight')\n", + "plt.show()" + ], + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CNLkM_UfFAwb" + }, + "source": [ + "## Discussion\n", + "In the top row, the figure shows classification error versus the total number of leaf nodes. In the RF algorithm with deep trees (left panels), a single decision tree is grown until each leaf node is pure, and then more trees are added with similar complexity as the first tree. These deep RFs exhibit the double-descent phenomenon, just like deep learning methods: as the number of leaf nodes increases, first test error drops, then it increases as it overfits, and then it drops again as more trees are included. On the other hand, consider the RF algorithm with shallow trees (right panels), that starts with a single tree increasing the number of its leaf nodes until it achieves a maximum depth of five, and then increases the number of trees, all of which having maximum depth five. These shallow RFs exhibit the classical monotonically decreasing out of sample error rates. Notably, both algorithms demonstrate monotonically decreasing training error, and eventually both achieve Bayes optimal performance on the test data. \n" + ] + } + ] +} diff --git a/docs/experiments/fte_bte_aircraft_bird.ipynb b/docs/experiments/fte_bte_aircraft_bird.ipynb new file mode 100644 index 0000000000..5e12fe7e81 --- /dev/null +++ b/docs/experiments/fte_bte_aircraft_bird.ipynb @@ -0,0 +1,211 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "three-dakota", + "metadata": {}, + "source": [ + "# FTE/BTE Experiment for Aircraft & Birdsnap\n", + "\n", + "---\n", + "\n", + "This experiment investigates the ability of progressive learning on tranferring knowledge across different datasets. Two datasets, the [FGVC-Aircraft-2013b](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), an image dataset of aircrafts, and [Birdsnap](http://thomasberg.org/), an image dataset of birds, have been used. The information of the datasets has been listed below.\n", + "\n", + "| Dataset |# images | # labels | # images per label (minimum) |\n", + "| --------------- |:-----------------:| :-------:|---------------------------:|\n", + "| fgvc-aircraft-2013b | 10000 | 100 | 100 |\n", + "| birdSnap | 49829 | 500 | 69 (100 for most species) |\n", + "\n", + "Before the experiment, we uniform the images by padding them into squares and then by resizing them to $32\\times32$ (pixels). The code for dataset preprocessing and the resized images can be found [here](https://github.com/chenyugoal/Dataset_Preprocessing). \n", + "\n", + "Considering the difference between the two datasets in the number of images, we choose a proportion of each dataset to use so that the number of classes and the number of images per class are equal." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "funny-harvest", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from joblib import Parallel, delayed" + ] + }, + { + "cell_type": "markdown", + "id": "tropical-approval", + "metadata": {}, + "source": [ + "### Load tasks\n", + "\n", + "The processed dataset can be downloaded [here](https://github.com/chenyugoal/Dataset_Preprocessing). \n", + "\n", + "After running the blocks of code below, we will get the splitted tasks. We have 10 tasks in total, with first 5 set up from Aircraft and the last 5 set up from Birdsnap. Each task has 20 labels to classify. For each label, there are 90 samples.\n", + "\n", + "Therefore, the total number of samples is:\n", + "\n", + " $10\\times20\\times90=18000$" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "engaged-darwin", + "metadata": {}, + "outputs": [], + "source": [ + "path_aircraft_x_all = 'F:/Programming/Python/NDD/Dataset_Preprocessing/data/aircraft_x_all.npy'\n", + "path_aircraft_y_all = 'F:/Programming/Python/NDD/Dataset_Preprocessing/data/aircraft_y_all.npy'\n", + "\n", + "path_birdsnap_x_all = 'F:/Programming/Python/NDD/Dataset_Preprocessing/data/birdsnap_x_all.npy'\n", + "path_birdsnap_y_all = 'F:/Programming/Python/NDD/Dataset_Preprocessing/data/birdsnap_y_all.npy'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bizarre-defendant", + "metadata": {}, + "outputs": [], + "source": [ + "from functions.fte_bte_aircraft_bird_functions import load_tasks\n", + "\n", + "train_x_task, test_x_task, train_y_task, test_y_task = load_tasks(path_aircraft_x_all,\n", + " path_aircraft_y_all,\n", + " path_birdsnap_x_all,\n", + " path_birdsnap_y_all)" + ] + }, + { + "cell_type": "markdown", + "id": "anticipated-diving", + "metadata": {}, + "source": [ + "### Sample images\n", + "\n", + "Let's take a look at images from Aircraft and Birdsnap by running the block below." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "south-government", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from functions.fte_bte_aircraft_bird_functions import show_image\n", + "\n", + "show_image(train_x_task)" + ] + }, + { + "cell_type": "markdown", + "id": "dynamic-terrain", + "metadata": {}, + "source": [ + "### Run progressive learning\n", + "\n", + "Here we provide two options of implementations of progressive learning: \n", + "\n", + "- omnidirectional forest (Odif), which uses uncertainty forests as the base representer\n", + "- omnidirectional networks (Odin), which uses a deep network as the base representer.\n", + "\n", + "Use `odif` for omnidirectional forest and `odin` for omnidirectional networks." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "angry-margin", + "metadata": {}, + "outputs": [], + "source": [ + "from functions.fte_bte_aircraft_bird_functions import single_experiment\n", + "\n", + "model = 'odif' # Choose 'odif' or 'odin'\n", + "ntrees = 10 # Number of trees\n", + "num_repetition = 30\n", + "\n", + "accuracy_list = Parallel(n_jobs=6)(delayed(single_experiment)(train_x_task,test_x_task,train_y_task,test_y_task,ntrees,model) for _ in range(num_repetition))\n", + "\n", + "accuracy_all_avg = np.average(accuracy_list, axis = 0)" + ] + }, + { + "cell_type": "markdown", + "id": "fabulous-sunset", + "metadata": {}, + "source": [ + "### Calculate and plot transfer efficiency" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "adopted-cuisine", + "metadata": {}, + "outputs": [], + "source": [ + "from functions.fte_bte_aircraft_bird_functions import calculate_results\n", + "\n", + "err, bte, fte, te = calculate_results(accuracy_all_avg)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "casual-probe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from functions.fte_bte_aircraft_bird_functions import plot_all\n", + "\n", + "plot_all(err, bte, fte, te)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "progressivelearning", + "language": "python", + "name": "progressivelearning" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/experiments/fte_bte_dtd.ipynb b/docs/experiments/fte_bte_dtd.ipynb new file mode 100644 index 0000000000..996c0d4036 --- /dev/null +++ b/docs/experiments/fte_bte_dtd.ipynb @@ -0,0 +1,410 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# FTE/BTE Experiment for DTD\n", + "\n", + "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", + "\n", + "Here, a representation ensembling algorithm based on decision forests (Odif) and an algorithm based on neural networks (Odin) demonstrate forward and backward knowledge transfer of tasks on the Describable Textures Dataset (DTD). The original dataset can be found at https://www.robots.ox.ac.uk/~vgg/data/dtd/.\n", + "\n", + "### Import necessary packages and modules" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "from multiprocessing import Pool\n", + "import seaborn as sns\n", + "from matplotlib import rcParams\n", + "rcParams.update({'figure.autolayout': True})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Experimental Set-up\n", + "\n", + "DTD has 47 classes of food with 120 images each. For the purposes of this experiment, only 40 of those classes are used. The dataset is split into 10 tasks with 4 classes each. \n", + "\n", + "Each class is then split into 4 batches of 30 images each. Every time the experiment is repeated, the batch used as the test set is shifted.\n", + "\n", + "The remaining 90 images in each class are used for training each task.\n", + "\n", + "With 4 batches of test sets and 1 batch of training sets, the number of permutations comes out to 4, so the final errors are averaged across 4 trials and then used to calculate FTE and BTE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### DTD Data Generation\n", + "\n", + "DTD was downloaded and preprocessed (images were padded and resized) by running the algorithms found in https://github.com/neurodata/LLF_tidy_images. This sectipn of the notebook serves to take those processed images and convert them into numpy arrays that can be read and used by the progressive learning algorithms." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load data set\n", + "data_dir = \"../../../datasets_resized_wLabels/dtd/images\" # replace with the path name for wherever the downloaded dtd images have been stored\n", + "textures_sorted = sorted(os.listdir(data_dir))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Start reading the image data into numpy arrays. Only the first 40 out of the 47 sorted texture classes will be used in order to make it easier to split up the samples into tasks later on.\n", + "\n", + "This process of initializing each x data array with some images and then concatenating to get the next batch of 1200 images is repeated 4 times, resulting in 4 numpy arrays each containing all the images from 10 of the dtd classes." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "dict_x = {}\n", + "for k in range(4):\n", + " # Initialize data_x* with the first image in the first class, then concatenate to acquire all images from the first class\n", + " texture_class = os.listdir(os.path.join(data_dir,textures_sorted[10*k]))\n", + " data_xk = [plt.imread(os.path.join(data_dir, textures_sorted[10*k], texture_class[0]))]\n", + "\n", + " for i in range(1,120):\n", + " data_xk = np.concatenate([data_xk, [(plt.imread(os.path.join(data_dir, textures_sorted[10*k], texture_class[i])))]])\n", + "\n", + " # Add to the initialized data_x* array until it contains all images from the 10 classes\n", + " # Concatenating more than 1200 images per batch increases the run time by a lot\n", + " for j in range(((k*10)+1),(10*(k+1))):\n", + " texture_class = os.listdir(os.path.join(data_dir,textures_sorted[j]))\n", + " for i in range(0,120):\n", + " data_xk = np.concatenate([data_xk, [(plt.imread(os.path.join(data_dir, textures_sorted[j], texture_class[i])))]])\n", + " \n", + " dict_x['data_x' + str(k+1)] = data_xk" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Combine individual numpy arrays for x data for each batch of 10 classes all into one big numpy array\n", + "data_x = np.concatenate([dict_x['data_x1'], dict_x['data_x2'], dict_x['data_x3']])\n", + "data_x = np.concatenate([data_x, dict_x['data_x4']])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Create y data containing 40 class labels\n", + "data_y = np.full((120), 0, dtype=int)\n", + "for i in range(1,40):\n", + " data_y = np.concatenate([data_y, np.full((120), i, dtype=int)])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Train the model and perform validation\n", + "\n", + "`which_task`: The task number for which BTE should be calculated\n", + "\n", + "#### run_parallel_exp: \n", + "Wrapper method for the `run_bte_exp` function which declares and trains the model, and performs validation with respect to the test data to compute the error of the model at a particular iteration" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Choose algorithm (odif or odin)\n", + "model = 'odin'" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.fte_bte_dtd_functions import run_fte_bte_exp\n", + "\n", + "fte = []\n", + "bte = []\n", + "te = []\n", + "accuracies = []\n", + "\n", + "for which_task in range(1,11):\n", + " \n", + " def run_parallel_exp(shift):\n", + " \n", + " df_list = run_fte_bte_exp(data_x, data_y, which_task, model, shift = shift)\n", + "\n", + " return df_list\n", + "\n", + " shifts = np.arange(0,4,1) # Number of test set batches\n", + " acc = []\n", + "\n", + " for shift in shifts:\n", + " acc.append(\n", + " run_parallel_exp(shift)\n", + " )\n", + " \n", + " # Average forward transfer accuracies accross all permutations of testing and training batches for each task\n", + " acc_x = []\n", + " acc_y = []\n", + " acc_z = []\n", + " for z in range(which_task):\n", + " for y in range(1):\n", + " for x in range(4):\n", + " if model == 'odin':\n", + " acc_x.append(acc[x][y]['task_accuracy'][z])\n", + " elif model == 'odif':\n", + " acc_x.append(acc[0][x][y]['task_accuracy'][z])\n", + " acc_y.append(np.mean(acc_x))\n", + " acc_x = []\n", + " acc_z.append(np.mean(acc_y))\n", + " acc_y = []\n", + " \n", + " # Calculate and store FTE\n", + " fte.append((1-acc_z[0])/(1-acc_z[-1]))\n", + " \n", + " # Average backward transfer accuracies accross all permutations of testing and training batches for each task\n", + " acc_x = []\n", + " acc_y = []\n", + " acc_z = []\n", + " for z in range((which_task - 1), 10):\n", + " for y in range(1):\n", + " for x in range(4):\n", + " if model == 'odin':\n", + " acc_x.append(acc[x][y]['task_accuracy'][z])\n", + " elif model == 'odif':\n", + " acc_x.append(acc[0][x][y]['task_accuracy'][z])\n", + " acc_y.append(np.mean(acc_x))\n", + " acc_x = []\n", + " acc_z.append(np.mean(acc_y))\n", + " acc_y = []\n", + " \n", + " # Calculate and store accuracies, BTE, and TE\n", + " accuracies.append(acc_z)\n", + " calc_bte = (1-acc_z[0])/([1-a for a in acc_z])\n", + " bte.append(calc_bte)\n", + " te.append([fte[(which_task-1)]*a for a in calc_bte])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Calculating FTE, BTE, TE, and Accuracy\n", + "\n", + "The forward transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$FTE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{t}) )] / \\mathbb{E} [R^t (f(D_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with past tasks to improve performance on task $t$. \n", + "\n", + "The backward transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$BTE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with new tasks to improve performance on previous tasks. \n", + "\n", + "The transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$TE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{t}) )] / \\mathbb{E} [R^t (f(D_n))]$$\n", + "\n", + "We say an algorithm has transfer learned for task $t$ with data $D_n$ if and only if $TE_n^t(f) > 1$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting FTE, BTE, TE, and Accuracy\n", + "Run cell to generate a figure containing 4 plots of the forward transfer efficiency, backward transfer efficiency, transfer efficiency, and accuracy of the Odif/Odin algorithms. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":97: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[0][0].set_yticklabels(log_lbl);\n", + ":104: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[0][1].set_yticklabels(log_lbl);\n", + ":111: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[1][0].set_yticklabels(log_lbl);\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set(style='ticks')\n", + "sns.despine\n", + "\n", + "n_tasks=10\n", + "#clr = [\"#e41a1c\", \"#a65628\", \"#377eb8\", \"#4daf4a\", \"#984ea3\", \"#ff7f00\", \"#CCCC00\"]\n", + "#c = sns.color_palette(clr, n_colors=len(clr))\n", + "if model == 'odin':\n", + " c = 'blue'\n", + "elif model == 'odif':\n", + " c = 'red'\n", + "\n", + "fontsize=28\n", + "ticksize=23\n", + "\n", + "# Plot FTE\n", + "\n", + "fig, ax = plt.subplots(2,2, figsize=(16,11.5))\n", + "#fig.suptitle('ntrees = '+str(ntrees),fontsize=25)\n", + "ax[0][0].plot(np.arange(1,n_tasks+1), fte, c, marker='v', markersize=12, linewidth=3);\n", + "ax[0][0].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "ax[0][0].tick_params(labelsize=ticksize)\n", + "ax[0][0].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[0][0].set_ylabel('log Forward TE', fontsize=fontsize)\n", + "\n", + "right_side = ax[0][0].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[0][0].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot BTE\n", + "\n", + "for i in range(n_tasks):\n", + "\n", + " et = np.asarray(bte[i])\n", + "\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + " ax[0][1].plot(ns, et, c, linewidth = 2.6);\n", + " \n", + "ax[0][1].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[0][1].set_ylabel('log Backward TE', fontsize=fontsize)\n", + "#ax[0][1].set_xticks(np.arange(1,10))\n", + "ax[0][1].tick_params(labelsize=ticksize)\n", + "ax[0][1].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "\n", + "right_side = ax[0][1].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[0][1].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot TE\n", + "\n", + "for i in range(n_tasks):\n", + "\n", + " et = np.asarray(te[i])\n", + "\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + " ax[1][0].plot(ns, et, c, linewidth = 2.6);\n", + " \n", + "ax[1][0].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[1][0].set_ylabel('log TE', fontsize=fontsize)\n", + "#ax[1][0].set_xticks(np.arange(1,10))\n", + "ax[1][0].tick_params(labelsize=ticksize)\n", + "ax[1][0].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "\n", + "right_side = ax[1][0].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[1][0].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot accuracy\n", + "\n", + "for i in range(n_tasks):\n", + " acc_p = np.asarray(accuracies[i])\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + "\n", + " ax[1][1].plot(ns, acc_p , c, linewidth = 2.6)\n", + " \n", + "#ax[1][1].legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=22)\n", + "ax[1][1].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[1][1].set_ylabel('Accuracy', fontsize=fontsize)\n", + "ax[1][1].tick_params(labelsize=ticksize)\n", + "\n", + "right_side = ax[1][1].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[1][1].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "fig = plt.gcf()\n", + "fig.canvas.draw()\n", + "\n", + "# Update fig to make into log-scale\n", + "labels = [float(item.get_text()) for item in ax[0][0].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[0][0].set_yticklabels(log_lbl);\n", + "\n", + "labels = [float(item.get_text()) for item in ax[0][1].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[0][1].set_yticklabels(log_lbl);\n", + "\n", + "labels = [float(item.get_text()) for item in ax[1][0].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[1][0].set_yticklabels(log_lbl);" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/experiments/fte_bte_flowers.ipynb b/docs/experiments/fte_bte_flowers.ipynb new file mode 100644 index 0000000000..6aad21cd4a --- /dev/null +++ b/docs/experiments/fte_bte_flowers.ipynb @@ -0,0 +1,418 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# FTE/BTE Experiment for Flowers\n", + "\n", + "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", + "\n", + "Here, a representation ensembling algorithm based on decision forests (Odif) and an algorithm based on neural networks (Odin) demonstrate forward and backward knowledge transfer of tasks on the Flowers dataset. The original dataset can be found at https://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html.\n", + "\n", + "### Import necessary packages and modules" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import os\n", + "import matplotlib.pyplot as plt\n", + "from multiprocessing import Pool\n", + "import seaborn as sns\n", + "from matplotlib import rcParams\n", + "from scipy.io import loadmat\n", + "rcParams.update({'figure.autolayout': True})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Experimental Set-up\n", + "\n", + "Flowers has 102 classes of food with at least 40 images each. For the purposes of this experiment, only 100 of those classes are used. The dataset is split into 10 tasks with 10 classes each.\n", + "\n", + "Each class is then split into 4 batches of 10 images each. Every time the experiment is repeated, the batch used as the test set is shifted.\n", + "\n", + "The remaining 30 images in each class are used for training each task.\n", + "\n", + "With 4 batches of test sets and 1 batch of training sets, the number of permutations comes out to 4, so the final errors are averaged across 4 trials and then used to calculate FTE and BTE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Flowers Data Generation\n", + "\n", + "Flowers was downloaded and preprocessed (images were padded and resized) by running the algorithms found in https://github.com/neurodata/LLF_tidy_images. This sectipn of the notebook serves to take those processed images and convert them into numpy arrays that can be read and used by the progressive learning algorithms." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Load data set\n", + "data_dir = \"../../../datasets_resized_wLabels/102Flowers/jpg\" # replace with the path name for wherever the downloaded flowers images have been stored\n", + "flowers_sorted = sorted(os.listdir(data_dir))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "classes = loadmat('../../../datasets_resized_wLabels/102Flowers/imagelabels.mat')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "idx = [np.where(classes['labels'] == u)[1] for u in np.unique(classes['labels'])]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Start reading the image data into numpy arrays. Only the first 100 out of the 102 sorted texture classes will be used in order to make it easier to split up the samples into tasks later on.\n", + "\n", + "This process of initializing each x data array with some images and then concatenating to get the next batch of 40 images is repeated 100 times, resulting in 100 numpy arrays that are concatenated to get all 4000 images across 100 classes." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "indx = idx[1]\n", + " \n", + "# Initialize data_x* with the first image in the first class, then concatenate to acquire all images from the first class\n", + "data_xi = [plt.imread(os.path.join(data_dir, flowers_sorted[indx[0]]))]\n", + "\n", + "for k in indx[1:40]:\n", + " data_xi = np.concatenate([data_xi, [(plt.imread(os.path.join(data_dir, flowers_sorted[k])))]])\n", + " \n", + "data_x = data_xi\n", + " \n", + "for i in range(1, 100):\n", + " # Chooses the i'th array within the larger idx array\n", + " indx = idx[i]\n", + " \n", + " # Initialize data_x* with the first image in the first class, then concatenate to acquire all images from the first class\n", + " data_xi = [plt.imread(os.path.join(data_dir, flowers_sorted[indx[0]]))]\n", + " \n", + " for k in indx[1:40]:\n", + " \n", + " data_xi = np.concatenate([data_xi, [(plt.imread(os.path.join(data_dir, flowers_sorted[k])))]])\n", + " \n", + " data_x = np.concatenate([data_x, data_xi])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Create y data containing 40 class labels\n", + "data_y = np.full((40), 0, dtype=int)\n", + "for i in range(1,100):\n", + " data_y = np.concatenate([data_y, np.full((40), i, dtype=int)])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Train the model and perform validation\n", + "\n", + "`which_task`: The task number for which BTE should be calculated\n", + "\n", + "#### run_parallel_exp: \n", + "Wrapper method for the `run_bte_exp` function which declares and trains the model, and performs validation with respect to the test data to compute the error of the model at a particular iteration" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Choose algorithm (odif or odin)\n", + "model = 'odin'" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.fte_bte_flowers_functions import run_fte_bte_exp\n", + "\n", + "fte = []\n", + "bte = []\n", + "te = []\n", + "accuracies = []\n", + "\n", + "for which_task in range(1,11):\n", + " \n", + " def run_parallel_exp(shift):\n", + " \n", + " df_list = run_fte_bte_exp(data_x, data_y, which_task, model, shift = shift)\n", + "\n", + " return df_list\n", + "\n", + " shifts = np.arange(0,4,1) # Number of test set batches\n", + " acc = []\n", + "\n", + " with Pool(8) as p:\n", + " # Paralell processing to run the experiment using a different batch for the test set each time\n", + " acc.append(\n", + " p.map(run_parallel_exp, shifts)\n", + " )\n", + " \n", + " # Average forward transfer accuracies accross all permutations of testing and training batches for each task\n", + " acc_x = []\n", + " acc_y = []\n", + " acc_z = []\n", + " for z in range(which_task):\n", + " for y in range(1):\n", + " for x in range(4):\n", + " acc_x.append(acc[0][x][y]['task_accuracy'][z])\n", + " acc_y.append(np.mean(acc_x))\n", + " acc_x = []\n", + " acc_z.append(np.mean(acc_y))\n", + " acc_y = []\n", + " \n", + " # Calculate and store FTE\n", + " fte.append((1-acc_z[0])/(1-acc_z[-1]))\n", + " \n", + " # Average backward transfer accuracies accross all permutations of testing and training batches for each task\n", + " acc_x = []\n", + " acc_y = []\n", + " acc_z = []\n", + " for z in range((which_task - 1), 10):\n", + " for y in range(1):\n", + " for x in range(4):\n", + " acc_x.append(acc[0][x][y]['task_accuracy'][z])\n", + " acc_y.append(np.mean(acc_x))\n", + " acc_x = []\n", + " acc_z.append(np.mean(acc_y))\n", + " acc_y = []\n", + " \n", + " # Calculate and store accuracies, BTE, and TE\n", + " accuracies.append(acc_z)\n", + " calc_bte = (1-acc_z[0])/([1-a for a in acc_z])\n", + " bte.append(calc_bte)\n", + " te.append([fte[(which_task-1)]*a for a in calc_bte])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Calculating FTE, BTE, TE, and Accuracy\n", + "\n", + "The forward transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$FTE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{t}) )] / \\mathbb{E} [R^t (f(D_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with past tasks to improve performance on task $t$. \n", + "\n", + "The backward transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$BTE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with new tasks to improve performance on previous tasks. \n", + "\n", + "The transfer efficiency of $f$ for task $t$ given $n$ samples is \n", + "$$TE_n^t (f) := \\mathbb{E} [R^t (f(D_n^{t}) )] / \\mathbb{E} [R^t (f(D_n))]$$\n", + "\n", + "We say an algorithm has transfer learned for task $t$ with data $D_n$ if and only if $TE_n^t(f) > 1$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting FTE, BTE, TE, and Accuracy\n", + "Run cell to generate a figure containing 4 plots of the forward transfer efficiency, backward transfer efficiency, transfer efficiency, and accuracy of the Odif/Odin algorithms." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":97: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[0][0].set_yticklabels(log_lbl);\n", + ":104: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[0][1].set_yticklabels(log_lbl);\n", + ":111: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " ax[1][0].set_yticklabels(log_lbl);\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set(style='ticks')\n", + "sns.despine\n", + "\n", + "n_tasks=10\n", + "#clr = [\"#e41a1c\", \"#a65628\", \"#377eb8\", \"#4daf4a\", \"#984ea3\", \"#ff7f00\", \"#CCCC00\"]\n", + "#c = sns.color_palette(clr, n_colors=len(clr))\n", + "if model == 'odin':\n", + " c = 'blue'\n", + "elif model == 'odif':\n", + " c = 'red'\n", + "\n", + "fontsize=28\n", + "ticksize=23\n", + "\n", + "# Plot FTE\n", + "\n", + "fig, ax = plt.subplots(2,2, figsize=(16,11.5))\n", + "#fig.suptitle('ntrees = '+str(ntrees),fontsize=25)\n", + "ax[0][0].plot(np.arange(1,n_tasks+1), fte, c, marker='v', markersize=12, linewidth=3);\n", + "ax[0][0].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "ax[0][0].tick_params(labelsize=ticksize)\n", + "ax[0][0].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[0][0].set_ylabel('log Forward TE', fontsize=fontsize)\n", + "\n", + "right_side = ax[0][0].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[0][0].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot BTE\n", + "\n", + "for i in range(n_tasks):\n", + "\n", + " et = np.asarray(bte[i])\n", + "\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + " ax[0][1].plot(ns, et, c, linewidth = 2.6);\n", + " \n", + "ax[0][1].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[0][1].set_ylabel('log Backward TE', fontsize=fontsize)\n", + "#ax[0][1].set_xticks(np.arange(1,10))\n", + "ax[0][1].tick_params(labelsize=ticksize)\n", + "ax[0][1].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "\n", + "right_side = ax[0][1].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[0][1].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot TE\n", + "\n", + "for i in range(n_tasks):\n", + "\n", + " et = np.asarray(te[i])\n", + "\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + " ax[1][0].plot(ns, et, c, linewidth = 2.6);\n", + " \n", + "ax[1][0].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[1][0].set_ylabel('log TE', fontsize=fontsize)\n", + "#ax[1][0].set_xticks(np.arange(1,10))\n", + "ax[1][0].tick_params(labelsize=ticksize)\n", + "ax[1][0].hlines(1, 1,n_tasks, colors='grey', linestyles='dashed',linewidth=1.5)\n", + "\n", + "right_side = ax[1][0].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[1][0].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "# Plot accuracy\n", + "\n", + "for i in range(n_tasks):\n", + " acc_p = np.asarray(accuracies[i])\n", + " ns = np.arange(i + 1, n_tasks + 1)\n", + "\n", + " ax[1][1].plot(ns, acc_p , c, linewidth = 2.6)\n", + " \n", + "#ax[1][1].legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=22)\n", + "ax[1][1].set_xlabel('Number of tasks seen', fontsize=fontsize)\n", + "ax[1][1].set_ylabel('Accuracy', fontsize=fontsize)\n", + "ax[1][1].tick_params(labelsize=ticksize)\n", + "\n", + "right_side = ax[1][1].spines[\"right\"]\n", + "right_side.set_visible(False)\n", + "top_side = ax[1][1].spines[\"top\"]\n", + "top_side.set_visible(False)\n", + "\n", + "fig = plt.gcf()\n", + "fig.canvas.draw()\n", + "\n", + "# Update fig to make into log-scale\n", + "labels = [float(item.get_text()) for item in ax[0][0].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[0][0].set_yticklabels(log_lbl);\n", + "\n", + "labels = [float(item.get_text()) for item in ax[0][1].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[0][1].set_yticklabels(log_lbl);\n", + "\n", + "labels = [float(item.get_text()) for item in ax[1][0].get_yticklabels()]\n", + "log_lbl = np.round(\n", + " np.log(labels),\n", + " 2\n", + ")\n", + "ax[1][0].set_yticklabels(log_lbl);" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/tutorials/fte_bte_food101.ipynb b/docs/experiments/fte_bte_food101.ipynb similarity index 100% rename from docs/tutorials/fte_bte_food101.ipynb rename to docs/experiments/fte_bte_food101.ipynb diff --git a/docs/tutorials/fte_bte_mnist.ipynb b/docs/experiments/fte_bte_mnist.ipynb similarity index 100% rename from docs/tutorials/fte_bte_mnist.ipynb rename to docs/experiments/fte_bte_mnist.ipynb diff --git a/docs/tutorials/functions/ConvRF.py b/docs/experiments/functions/ConvRF.py similarity index 98% rename from docs/tutorials/functions/ConvRF.py rename to docs/experiments/functions/ConvRF.py index 9d5b724caf..d04716212b 100644 --- a/docs/tutorials/functions/ConvRF.py +++ b/docs/experiments/functions/ConvRF.py @@ -415,6 +415,7 @@ def run_cnn( testset, ) + def cnn_train_test_3_class( cnn_model, y_train, @@ -511,7 +512,7 @@ def run_rf_3_class( fraction_of_train_samples, class1, class2, - class3 + class3, ): num_train_samples_class_1 = int( np.sum(train_labels == class1) * fraction_of_train_samples @@ -528,30 +529,30 @@ def run_rf_3_class( [ train_images[train_labels == class1][:num_train_samples_class_1], train_images[train_labels == class2][:num_train_samples_class_2], - train_images[train_labels == class3][:num_train_samples_class_3] + train_images[train_labels == class3][:num_train_samples_class_3], ] ) train_labels = np.concatenate( [ np.repeat(0, num_train_samples_class_1), np.repeat(1, num_train_samples_class_2), - np.repeat(2, num_train_samples_class_3) + np.repeat(2, num_train_samples_class_3), ] ) # get only test images and labels for class 1, class 2 and class 3 test_images = np.concatenate( [ - test_images[test_labels == class1], - test_images[test_labels == class2], - test_images[test_labels == class3] + test_images[test_labels == class1], + test_images[test_labels == class2], + test_images[test_labels == class3], ] ) test_labels = np.concatenate( [ np.repeat(0, np.sum(test_labels == class1)), np.repeat(1, np.sum(test_labels == class2)), - np.repeat(2, np.sum(test_labels == class3)) + np.repeat(2, np.sum(test_labels == class3)), ] ) @@ -575,7 +576,7 @@ def run_cnn_3_class( class2, class3, trainset, - testset + testset, ): return cnn_train_test_3_class( cnn_model, @@ -586,5 +587,5 @@ def run_cnn_3_class( class2, class3, trainset, - testset - ) \ No newline at end of file + testset, + ) diff --git a/docs/experiments/functions/fte_bte_aircraft_bird_functions.py b/docs/experiments/functions/fte_bte_aircraft_bird_functions.py new file mode 100644 index 0000000000..edee1a6253 --- /dev/null +++ b/docs/experiments/functions/fte_bte_aircraft_bird_functions.py @@ -0,0 +1,373 @@ +import random + +import keras +import matplotlib.pyplot as plt +import numpy as np +import seaborn as sns +from keras import layers +from keras.callbacks import EarlyStopping +from keras.optimizers import Adam +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.transformers import ( + NeuralClassificationTransformer, + TreeClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter +from sklearn.model_selection import train_test_split +from tensorflow.keras.backend import clear_session # To avoid OOM error when using odin + + +def load_tasks( + path_aircraft_x_all, path_aircraft_y_all, path_birdsnap_x_all, path_birdsnap_y_all +): + n_task_aircraft = 5 # Set up 5 tasks from aircraft + n_task_birdsnap = 5 # Set up 5 tasks from birdsnap + n_label_per_task = 20 + n_sample_label = 90 # Because a large proportion of the classes in Birdsnap contains less than 90 samples + test_size = 0.4 # 54 train, 36 test + # Load Data + aircraft_x_all = np.load(path_aircraft_x_all) + aircraft_y_all = np.load(path_aircraft_y_all) + birdsnap_x_all = np.load(path_birdsnap_x_all) + birdsnap_y_all = np.load(path_birdsnap_y_all) + # Split into tasks + train_x_task = [[], [], [], [], [], [], [], [], [], []] + test_x_task = [[], [], [], [], [], [], [], [], [], []] + train_y_task = [[], [], [], [], [], [], [], [], [], []] + test_y_task = [[], [], [], [], [], [], [], [], [], []] + # load aircraft data to tasks + for i in range(n_task_aircraft): + X = np.empty([0, 32, 32, 3]) + Y = np.empty( + [ + 0, + ] + ) + for j in range(n_label_per_task): + new_x = aircraft_x_all[aircraft_y_all == n_label_per_task * i + j + 1][ + :n_sample_label + ] + new_y = aircraft_y_all[aircraft_y_all == n_label_per_task * i + j + 1][ + :n_sample_label + ] + X = np.concatenate((X, new_x), axis=0) + Y = np.concatenate((Y, new_y), axis=0) + ( + train_x_task[i], + test_x_task[i], + train_y_task[i], + test_y_task[i], + ) = train_test_split(X, Y, test_size=test_size) + # load birdsnap data to tasks + for i in range(n_task_birdsnap): + X = np.empty([0, 32, 32, 3]) + Y = np.empty( + [ + 0, + ] + ) + for j in range(n_label_per_task): + new_x = birdsnap_x_all[birdsnap_y_all == n_label_per_task * i + j + 1][ + :n_sample_label + ] + new_y = ( + birdsnap_y_all[birdsnap_y_all == n_label_per_task * i + j + 1][ + :n_sample_label + ] + + 100 + ) + X = np.concatenate((X, new_x), axis=0) + Y = np.concatenate((Y, new_y), axis=0) + ( + train_x_task[n_task_aircraft + i], + test_x_task[n_task_aircraft + i], + train_y_task[n_task_aircraft + i], + test_y_task[n_task_aircraft + i], + ) = train_test_split(X, Y, test_size=test_size) + return train_x_task, test_x_task, train_y_task, test_y_task + + +def show_image(train_x_task): + # task 1-5 is aircraft, 6-10 is birdsnap + plt.figure(figsize=(8, 8)) + plt.subplot(1, 2, 1) + img = train_x_task[random.randint(0, 4)][random.randint(0, 89)] + plt.imshow(img.astype(np.uint8)) + plt.xticks([]) + plt.yticks([]) + plt.title("Sample in Aircraft") + + plt.subplot(1, 2, 2) + img = train_x_task[random.randint(5, 9)][random.randint(0, 89)] + plt.imshow(img.astype(np.uint8)) + plt.xticks([]) + plt.yticks([]) + plt.title("Sample in Birdsnap") + + +def single_experiment( + train_x_task, test_x_task, train_y_task, test_y_task, ntrees=10, model="odif" +): + num_tasks = 10 + num_points_per_task = 1800 + accuracies = np.zeros(65, dtype=float) + + if model == "odin": + + clear_session() # clear GPU memory before each run, to avoid OOM error + + default_transformer_class = NeuralClassificationTransformer + + network = keras.Sequential() + network.add( + layers.Conv2D( + filters=16, + kernel_size=(3, 3), + activation="relu", + input_shape=np.shape(train_x_task[0])[1:], + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=32, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=64, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=128, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=254, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + + network.add(layers.Flatten()) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(units=20, activation="softmax")) # units=10 + + default_transformer_kwargs = { + "network": network, + "euclidean_layer_idx": -2, + "loss": "categorical_crossentropy", + "optimizer": Adam(3e-4), + "fit_kwargs": { + "epochs": 100, + "callbacks": [EarlyStopping(patience=5, monitor="val_loss")], + "verbose": False, + "validation_split": 0.33, + "batch_size": 32, + }, + } + default_voter_class = KNNClassificationVoter + default_voter_kwargs = {"k": int(np.log2(num_points_per_task))} + default_decider_class = SimpleArgmaxAverage + + elif model == "odif": + for i in range(num_tasks): + train_x_task[i] = train_x_task[i].reshape(1080, -1) + test_x_task[i] = test_x_task[i].reshape(720, -1) + + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": 30}} + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} + default_decider_class = SimpleArgmaxAverage + + progressive_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) + + for i in range(num_tasks): + progressive_learner.add_task( + X=train_x_task[i], + y=train_y_task[i], + task_id=i, + num_transformers=1 if model == "odin" else ntrees, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={"classes": np.unique(train_y_task[i])}, + ) + prediction = progressive_learner.predict( + X=test_x_task[i], transformer_ids=[i], task_id=i + ) + accuracies[i] = np.mean(prediction == test_y_task[i]) + + for j in range(num_tasks): + if j > i: + pass # this is not wrong but misleading, should be continue + else: + odif_predictions = progressive_learner.predict( + test_x_task[j], task_id=j + ) + + accuracies[10 + j + (i * (i + 1)) // 2] = np.mean( + odif_predictions == test_y_task[j] + ) + # print('single experiment done!') + + return accuracies + + +def calculate_results(accuracy_all): + num_tasks = 10 + err = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + err[i].append(1 - accuracy_all[10 + ((j + i) * (j + i + 1)) // 2 + i]) + + bte = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + bte[i].append(err[i][0] / err[i][j]) + + fte = np.zeros(10, dtype=float) + for i in range(num_tasks): + fte[i] = (1 - accuracy_all[i]) / err[i][0] + + te = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + te[i].append((1 - accuracy_all[i]) / err[i][j]) + + return err, bte, fte, te + + +def plot_all(err, bte, fte, te): + num_tasks = 10 + sns.set(style="ticks") + + fontsize = 30 + ticksize = 24 + markersize = 16 + linewidth = 3 + + fig, ax = plt.subplots(2, 2, figsize=(20, 14.5)) + + # FTE + ax[0][0].axvline(x=5, linestyle="dashed", color="black", alpha=0.5) + ax[0][0].text(5, 1.001, "Dataset Switch", fontsize=25, color="black") + ax[0][0].plot( + np.arange(1, num_tasks + 1), + fte, + c="red", + marker=".", + markersize=markersize, + linewidth=linewidth, + label="Odif", + ) + + ax[0][0].hlines( + 1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=0.5 * linewidth + ) + ax[0][0].tick_params(labelsize=ticksize) + ax[0][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][0].set_ylabel("log FTE", fontsize=fontsize) + ax[0][0].set_yticks([1, 1.0408, 1.0833]) + ax[0][0].set_ylim(0.99, 1.09) + + log_lbl = np.round(np.log([1, 1.0408, 1.0833]), 2) + labels = [item.get_text() for item in ax[0][0].get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax[0][0].set_yticklabels(labels) + + # BTE + ax[0][1].axvline(x=5, linestyle="dashed", color="black", alpha=0.5) + for i in range(num_tasks): + et = np.asarray(bte[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[0][1].plot(ns, et, c="red", linewidth=linewidth) + + ax[0][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][1].set_ylabel("log BTE", fontsize=fontsize) + ax[0][1].tick_params(labelsize=ticksize) + ax[0][1].hlines( + 1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=0.5 * linewidth + ) + + ax[0][1].set_yticks([1, 1.0202, 1.0408]) + ax[0][1].set_ylim(0.995, 1.048) + + log_lbl = np.round(np.log([1, 1.0202, 1.0408]), 2) + labels = [item.get_text() for item in ax[0][1].get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax[0][1].set_yticklabels(labels) + + # TE + ax[1][0].axvline(x=5, linestyle="dashed", color="black", alpha=0.5) + for i in range(num_tasks): + et = np.asarray(te[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1][0].plot(ns, et, c="red", linewidth=linewidth) + + ax[1][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][0].set_ylabel("log Transfer Efficiency", fontsize=fontsize) + ax[1][0].tick_params(labelsize=ticksize) + ax[1][0].hlines( + 1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=0.5 * linewidth + ) + + ax[1][0].set_yticks([1, 1.0513, 1.1052]) + ax[1][0].set_ylim(0.99, 1.12) + + log_lbl = np.round(np.log([1, 1.0513, 1.1052]), 2) + labels = [item.get_text() for item in ax[1][0].get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax[1][0].set_yticklabels(labels) + + # Accuracy + ax[1][1].axvline(x=5, linestyle="dashed", color="black", alpha=0.5) + for i in range(num_tasks): + et = 1 - np.asarray(err[i]) + ns = np.arange(i + 1, num_tasks + 1) + if i == 0: + ax[1][1].plot(ns, et, c="red", linewidth=linewidth, label="Odif") + else: + ax[1][1].plot(ns, et, c="red", linewidth=linewidth) + + ax[1][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][1].set_ylabel("Accuracy", fontsize=fontsize) + ax[1][1].tick_params(labelsize=ticksize) diff --git a/docs/experiments/functions/fte_bte_dtd_functions.py b/docs/experiments/functions/fte_bte_dtd_functions.py new file mode 100644 index 0000000000..fe882e42ef --- /dev/null +++ b/docs/experiments/functions/fte_bte_dtd_functions.py @@ -0,0 +1,329 @@ +import random +import numpy as np +import pandas as pd +import seaborn as sns +import matplotlib.pyplot as plt +import sys + +import keras +from keras import layers +from keras.callbacks import EarlyStopping +from keras.optimizers import Adam +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.transformers import ( + NeuralClassificationTransformer, + TreeClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter +from sklearn.model_selection import train_test_split + +from proglearn.forest import LifelongClassificationForest +from proglearn.network import LifelongClassificationNetwork + +from tensorflow.keras.backend import clear_session # To avoid OOM error when using dnn + + +def run_fte_bte_exp(data_x, data_y, which_task, model, ntrees=30, shift=0): + + df_total = [] + + for slot in range( + 1 + ): # Rotates the batch of training samples that are used from each class in each task + train_x, train_y, test_x, test_y = cross_val_data(data_x, data_y, shift, slot) + + if model == "odif": + # Reshape the data + train_x = train_x.reshape( + train_x.shape[0], train_x.shape[1] * train_x.shape[2] * train_x.shape[3] + ) + test_x = test_x.reshape( + test_x.shape[0], test_x.shape[1] * test_x.shape[2] * test_x.shape[3] + ) + + if model == "odin": + clear_session() # clear GPU memory before each run, to avoid OOM error + + default_transformer_class = NeuralClassificationTransformer + + network = keras.Sequential() + network.add( + layers.Conv2D( + filters=16, + kernel_size=(3, 3), + activation="relu", + input_shape=np.shape(data_x)[1:], + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=32, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=64, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=128, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=254, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + + network.add(layers.Flatten()) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(units=4, activation="softmax")) + + default_transformer_kwargs = { + "network": network, + "euclidean_layer_idx": -2, + "loss": "categorical_crossentropy", + "optimizer": Adam(3e-4), + "fit_kwargs": { + "epochs": 100, + "callbacks": [EarlyStopping(patience=5, monitor="val_loss")], + "verbose": False, + "validation_split": 0.33, + "batch_size": 32, + }, + } + default_voter_class = KNNClassificationVoter + default_voter_kwargs = {"k": int(np.log2(360))} + default_decider_class = SimpleArgmaxAverage + + p_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) + elif model == "odif": + p_learner = LifelongClassificationForest() + + df = fte_bte_experiment( + train_x, + train_y, + test_x, + test_y, + ntrees, + shift, + slot, + model, + p_learner, + which_task, + acorn=12345, + ) + + df_total.append(df) + + return df_total + + +def cross_val_data(data_x, data_y, shift, slot, total_cls=40): + # Creates copies of both data_x and data_y so that they can be modified without affecting the original sets + x = data_x.copy() + y = data_y.copy() + # Creates a sorted array of arrays that each contain the indices at which each unique element of data_y can be found + idx = [np.where(data_y == u)[0] for u in np.unique(data_y)] + + for i in range(total_cls): + # Chooses the i'th array within the larger idx array + indx = idx[i] + + # 90 available training data points per class + # Chooses all samples other than those in the testing batch + tmp_x = np.concatenate( + (x[indx[0 : (shift * 30)], :], x[indx[((shift + 1) * 30) : 120], :]), + axis=0, + ) + tmp_y = np.concatenate( + (y[indx[0 : (shift * 30)]], y[indx[((shift + 1) * 30) : 120]]), axis=0 + ) + + if i == 0: + # 90 training data points per class + # Rotates which set of 90 samples from each class is chosen for training each task + # With 4 classes per task, total of 360 training samples per task + train_x = tmp_x[(slot * 90) : ((slot + 1) * 90)] + train_y = tmp_y[(slot * 90) : ((slot + 1) * 90)] + + # 30 testing data points per class + # Batch for testing set is rotated each time + test_x = x[indx[(shift * 30) : ((shift + 1) * 30)], :] + test_y = y[indx[(shift * 30) : ((shift + 1) * 30)]] + else: + # 90 training data points per class + # Rotates which set of 90 samples from each class is chosen for training each task + # With 4 classes per task, total of 360 training samples per task + train_x = np.concatenate( + (train_x, tmp_x[(slot * 90) : ((slot + 1) * 90)]), axis=0 + ) + train_y = np.concatenate( + (train_y, tmp_y[(slot * 90) : ((slot + 1) * 90)]), axis=0 + ) + + # 30 testing data points per class + # Batch for testing set is rotated each time + test_x = np.concatenate( + (test_x, x[indx[(shift * 30) : ((shift + 1) * 30)], :]), axis=0 + ) + test_y = np.concatenate( + (test_y, y[indx[(shift * 30) : ((shift + 1) * 30)]]), axis=0 + ) + + return train_x, train_y, test_x, test_y + + +def fte_bte_experiment( + train_x, + train_y, + test_x, + test_y, + ntrees, + shift, + slot, + model, + p_learner, + which_task, + acorn=None, +): + + # We initialize lists to store the results + df = pd.DataFrame() + accuracies_across_tasks = [] + + # Declare the progressive learner model (Odif or Odin) + learner = p_learner + + for task_num in range((which_task - 1), 10): + accuracy_per_task = [] + # print("Starting Task {} For Shift {} For Slot {}".format(task_num, shift, slot)) + if acorn is not None: + np.random.seed(acorn) + + # If first task, add task. + if task_num == (which_task - 1): + if model == "odin": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=task_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 360) : ((task_num + 1) * 360)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=task_num, + ) + + t_num = 0 + # Add tasks for all tasks up to current task (task t) + while t_num < task_num: + # Make a prediction on task t using the trained learner on test data + llf_task = learner.predict( + test_x[((which_task - 1) * 120) : (which_task * 120), :], + task_id=task_num, + ) + acc = np.mean( + llf_task == test_y[((which_task - 1) * 120) : (which_task * 120)] + ) + accuracies_across_tasks.append(acc) + + if model == "odin": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=t_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 360) : ((task_num + 1) * 360)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=t_num, + ) + + # Add task for next task + t_num = t_num + 1 + + else: + if model == "odin": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=task_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 360) : ((task_num + 1) * 360)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 360) : ((task_num + 1) * 360)], + y=train_y[(task_num * 360) : ((task_num + 1) * 360)], + task_id=task_num, + ) + + # Make a prediction on task t using the trained learner on test data + predictions = learner.predict( + test_x[((which_task - 1) * 120) : (which_task * 120), :], + task_id=(which_task - 1), + ) + acc = np.mean( + predictions == test_y[((which_task - 1) * 120) : (which_task * 120)] + ) + accuracies_across_tasks.append(acc) + # print("Accuracy Across Tasks: {}".format(accuracies_across_tasks)) + + df["task"] = range(1, 11) + df["task_accuracy"] = accuracies_across_tasks + + return df diff --git a/docs/experiments/functions/fte_bte_flowers_functions.py b/docs/experiments/functions/fte_bte_flowers_functions.py new file mode 100644 index 0000000000..90b3befe15 --- /dev/null +++ b/docs/experiments/functions/fte_bte_flowers_functions.py @@ -0,0 +1,330 @@ +import random +import numpy as np +import pandas as pd +import seaborn as sns +import matplotlib.pyplot as plt +import sys + +import keras +from keras import layers +from keras.callbacks import EarlyStopping +from keras.optimizers import Adam +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.transformers import ( + NeuralClassificationTransformer, + TreeClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter +from sklearn.model_selection import train_test_split + +from proglearn.forest import LifelongClassificationForest +from proglearn.network import LifelongClassificationNetwork + +from tensorflow.keras.backend import clear_session # To avoid OOM error when using dnn + + +def run_fte_bte_exp(data_x, data_y, which_task, model, ntrees=30, shift=0): + + df_total = [] + + for slot in range( + 1 + ): # Rotates the batch of training samples that are used from each class in each task + train_x, train_y, test_x, test_y = cross_val_data(data_x, data_y, shift, slot) + + if model == "odif": + # Reshape the data + train_x = train_x.reshape( + train_x.shape[0], train_x.shape[1] * train_x.shape[2] * train_x.shape[3] + ) + test_x = test_x.reshape( + test_x.shape[0], test_x.shape[1] * test_x.shape[2] * test_x.shape[3] + ) + + if model == "odin": + clear_session() # clear GPU memory before each run, to avoid OOM error + + default_transformer_class = NeuralClassificationTransformer + + network = keras.Sequential() + network.add( + layers.Conv2D( + filters=16, + kernel_size=(3, 3), + activation="relu", + input_shape=np.shape(data_x)[1:], + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=32, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=64, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=128, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=254, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + + network.add(layers.Flatten()) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(units=10, activation="softmax")) + + default_transformer_kwargs = { + "network": network, + "euclidean_layer_idx": -2, + "loss": "categorical_crossentropy", + "optimizer": Adam(3e-4), + "fit_kwargs": { + "epochs": 100, + "callbacks": [EarlyStopping(patience=5, monitor="val_loss")], + "verbose": False, + "validation_split": 0.33, + "batch_size": 32, + }, + } + default_voter_class = KNNClassificationVoter + default_voter_kwargs = {"k": int(np.log2(300))} + default_decider_class = SimpleArgmaxAverage + + p_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) + + elif model == "odif": + p_learner = LifelongClassificationForest() + + df = fte_bte_experiment( + train_x, + train_y, + test_x, + test_y, + ntrees, + shift, + slot, + model, + p_learner, + which_task, + acorn=12345, + ) + + df_total.append(df) + + return df_total + + +def cross_val_data(data_x, data_y, shift, slot, total_cls=100): + # Creates copies of both data_x and data_y so that they can be modified without affecting the original sets + x = data_x.copy() + y = data_y.copy() + # Creates a sorted array of arrays that each contain the indices at which each unique element of data_y can be found + idx = [np.where(data_y == u)[0] for u in np.unique(data_y)] + + for i in range(total_cls): + # Chooses the i'th array within the larger idx array + indx = idx[i] + + # 30 available training data points per class + # Chooses all samples other than those in the testing batch + tmp_x = np.concatenate( + (x[indx[0 : (shift * 10)], :], x[indx[((shift + 1) * 10) : 40], :]), + axis=0, + ) + tmp_y = np.concatenate( + (y[indx[0 : (shift * 10)]], y[indx[((shift + 1) * 10) : 40]]), axis=0 + ) + + if i == 0: + # 30 training data points per class + # Rotates which set of 30 samples from each class is chosen for training each task + # With 10 classes per task, total of 300 training samples per task + train_x = tmp_x[(slot * 30) : ((slot + 1) * 30)] + train_y = tmp_y[(slot * 30) : ((slot + 1) * 30)] + + # 10 testing data points per class + # Batch for testing set is rotated each time + test_x = x[indx[(shift * 10) : ((shift + 1) * 10)], :] + test_y = y[indx[(shift * 10) : ((shift + 1) * 10)]] + else: + # 30 training data points per class + # Rotates which set of 30 samples from each class is chosen for training each task + # With 10 classes per task, total of 300 training samples per task + train_x = np.concatenate( + (train_x, tmp_x[(slot * 30) : ((slot + 1) * 30)]), axis=0 + ) + train_y = np.concatenate( + (train_y, tmp_y[(slot * 30) : ((slot + 1) * 30)]), axis=0 + ) + + # 10 testing data points per class + # Batch for testing set is rotated each time + test_x = np.concatenate( + (test_x, x[indx[(shift * 10) : ((shift + 1) * 10)], :]), axis=0 + ) + test_y = np.concatenate( + (test_y, y[indx[(shift * 10) : ((shift + 1) * 10)]]), axis=0 + ) + + return train_x, train_y, test_x, test_y + + +def fte_bte_experiment( + train_x, + train_y, + test_x, + test_y, + ntrees, + shift, + slot, + model, + p_learner, + which_task, + acorn=None, +): + + # We initialize lists to store the results + df = pd.DataFrame() + accuracies_across_tasks = [] + + # Declare the progressive learner model (Odif or Odin) + learner = p_learner + + for task_num in range((which_task - 1), 10): + accuracy_per_task = [] + # print("Starting Task {} For Shift {} For Slot {}".format(task_num, shift, slot)) + if acorn is not None: + np.random.seed(acorn) + + # If first task, add task. + if task_num == (which_task - 1): + if model == "odin": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=task_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 300) : ((task_num + 1) * 300)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=task_num, + ) + + t_num = 0 + # Add tasks for all task up to current task (task t) + while t_num < task_num: + # Make a prediction on task t using the trained learner on test data + llf_task = learner.predict( + test_x[((which_task - 1) * 100) : (which_task * 100), :], + task_id=task_num, + ) + acc = np.mean( + llf_task == test_y[((which_task - 1) * 100) : (which_task * 100)] + ) + accuracies_across_tasks.append(acc) + + if model == "odin": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=t_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 300) : ((task_num + 1) * 300)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=t_num, + ) + + # Add task for next task + t_num = t_num + 1 + + else: + if model == "odin": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=task_num, + num_transformers=1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={ + "classes": np.unique( + train_y[(task_num * 300) : ((task_num + 1) * 300)] + ) + }, + ) + elif model == "odif": + learner.add_task( + X=train_x[(task_num * 300) : ((task_num + 1) * 300)], + y=train_y[(task_num * 300) : ((task_num + 1) * 300)], + task_id=task_num, + ) + + # Make a prediction on task t using the trained learner on test data + predictions = learner.predict( + test_x[((which_task - 1) * 100) : (which_task * 100), :], + task_id=(which_task - 1), + ) + acc = np.mean( + predictions == test_y[((which_task - 1) * 100) : (which_task * 100)] + ) + accuracies_across_tasks.append(acc) + # print("Accuracy Across Tasks: {}".format(accuracies_across_tasks)) + + df["task"] = range(1, 11) + df["task_accuracy"] = accuracies_across_tasks + + return df diff --git a/docs/tutorials/functions/fte_bte_food101_functions.py b/docs/experiments/functions/fte_bte_food101_functions.py similarity index 96% rename from docs/tutorials/functions/fte_bte_food101_functions.py rename to docs/experiments/functions/fte_bte_food101_functions.py index 0b372c4069..e0dcb81410 100644 --- a/docs/tutorials/functions/fte_bte_food101_functions.py +++ b/docs/experiments/functions/fte_bte_food101_functions.py @@ -120,7 +120,7 @@ def fte_bte_experiment( for task_num in range((which_task - 1), 10): accuracy_per_task = [] - #print("Starting Task {} For Shift {} For Slot {}".format(task_num, shift, slot)) + # print("Starting Task {} For Shift {} For Slot {}".format(task_num, shift, slot)) if acorn is not None: np.random.seed(acorn) @@ -137,18 +137,19 @@ def fte_bte_experiment( while t_num < task_num: # Make a prediction on task t using the trained learner on test data llf_task = learner.predict( - test_x[((which_task - 1) * 1000) : (which_task * 1000), :], task_id=0 + test_x[((which_task - 1) * 1000) : (which_task * 1000), :], + task_id=0, ) acc = np.mean( llf_task == test_y[((which_task - 1) * 1000) : (which_task * 1000)] ) accuracies_across_tasks.append(acc) - + learner.add_transformer( X=train_x[(t_num * 900) : ((t_num + 1) * 900)], y=train_y[(t_num * 900) : ((t_num + 1) * 900)], ) - + # Add transformer for next task t_num = t_num + 1 @@ -166,7 +167,7 @@ def fte_bte_experiment( llf_task == test_y[((which_task - 1) * 1000) : (which_task * 1000)] ) accuracies_across_tasks.append(acc) - #print("Accuracy Across Tasks: {}".format(accuracies_across_tasks)) + # print("Accuracy Across Tasks: {}".format(accuracies_across_tasks)) df["task"] = range(1, 11) df["task_accuracy"] = accuracies_across_tasks diff --git a/docs/tutorials/functions/fte_bte_mnist_functions.py b/docs/experiments/functions/fte_bte_mnist_functions.py similarity index 100% rename from docs/tutorials/functions/fte_bte_mnist_functions.py rename to docs/experiments/functions/fte_bte_mnist_functions.py diff --git a/docs/tutorials/functions/label_shuffle_functions.py b/docs/experiments/functions/label_shuffle_functions.py similarity index 50% rename from docs/tutorials/functions/label_shuffle_functions.py rename to docs/experiments/functions/label_shuffle_functions.py index aa0574e834..1094bee216 100644 --- a/docs/tutorials/functions/label_shuffle_functions.py +++ b/docs/experiments/functions/label_shuffle_functions.py @@ -5,7 +5,11 @@ import matplotlib.pyplot as plt import sys -from proglearn.forest import LifelongClassificationForest +# Import the progressive learning packages +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.transformers import TreeClassificationTransformer +from proglearn.voters import TreeClassificationVoter def run_parallel_exp(data_x, data_y, n_trees, num_points_per_task, slot=0, shift=1): @@ -27,13 +31,14 @@ def run_parallel_exp(data_x, data_y, n_trees, num_points_per_task, slot=0, shift return df -def cross_val_data(data_x, data_y, num_points_per_task, shift, total_task=10): +def cross_val_data(data_x, data_y, num_points_per_task, total_task=10, shift=1): x = data_x.copy() y = data_y.copy() idx = [np.where(data_y == u)[0] for u in np.unique(data_y)] batch_per_task = 5000 // num_points_per_task sample_per_class = num_points_per_task // total_task + test_data_slot = 100 // batch_per_task for task in range(total_task): for batch in range(batch_per_task): @@ -42,24 +47,46 @@ def cross_val_data(data_x, data_y, num_points_per_task, shift, total_task=10): if batch == 0 and class_no == 0 and task == 0: train_x = x[ + indx[batch * sample_per_class : (batch + 1) * sample_per_class], + :, + ] + train_y = y[ indx[batch * sample_per_class : (batch + 1) * sample_per_class] ] test_x = x[ indx[ - batch * total_task - + num_points_per_task : (batch + 1) * total_task - + num_points_per_task + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ], + :, + ] + test_y = y[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 ] ] - train_y = np.random.randint( - low=0, high=total_task, size=sample_per_class - ) - test_y = np.random.randint(low=0, high=total_task, size=total_task) else: train_x = np.concatenate( ( train_x, x[ + indx[ + batch + * sample_per_class : (batch + 1) + * sample_per_class + ], + :, + ], + ), + axis=0, + ) + train_y = np.concatenate( + ( + train_y, + y[ indx[ batch * sample_per_class : (batch + 1) @@ -74,60 +101,28 @@ def cross_val_data(data_x, data_y, num_points_per_task, shift, total_task=10): test_x, x[ indx[ - batch * total_task - + num_points_per_task : (batch + 1) * total_task - + num_points_per_task + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ], + :, + ], + ), + axis=0, + ) + test_y = np.concatenate( + ( + test_y, + y[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 ] ], ), axis=0, ) - if task == 0: - train_y = np.concatenate( - ( - train_y, - y[ - indx[ - batch - * sample_per_class : (batch + 1) - * sample_per_class - ] - ], - ), - axis=0, - ) - test_y = np.concatenate( - ( - test_y, - y[ - indx[ - batch * total_task - + num_points_per_task : (batch + 1) * total_task - + num_points_per_task - ] - ], - ), - axis=0, - ) - else: - train_y = np.concatenate( - ( - train_y, - np.random.randint( - low=0, high=total_task, size=sample_per_class - ), - ), - axis=0, - ) - test_y = np.concatenate( - ( - test_y, - np.random.randint( - low=0, high=total_task, size=total_task - ), - ), - axis=0, - ) return train_x, train_y, test_x, test_y @@ -144,57 +139,67 @@ def label_shuffle_experiment( acorn=None, ): - # We initialize lists to store the results df = pd.DataFrame() + single_task_accuracies = np.zeros(10, dtype=float) shifts = [] + tasks = [] + base_tasks = [] accuracies_across_tasks = [] - # Declare the progressive learner model (L2F), with ntrees as a parameter - learner = LifelongClassificationForest(n_estimators=ntrees) + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": 30, "max_features": "auto"}} + + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} + + default_decider_class = SimpleArgmaxAverage + + progressive_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) for task_ii in range(10): - print("Starting Task {} For Fold {} For Slot {}".format(task_ii, shift, slot)) if acorn is not None: np.random.seed(acorn) - # If task number is 0, add task. Else, add a transformer for the task - if task_ii == 0: - learner.add_task( - X=train_x[ - task_ii * 5000 - + slot * num_points_per_task : task_ii * 5000 - + (slot + 1) * num_points_per_task - ], - y=train_y[ - task_ii * 5000 - + slot * num_points_per_task : task_ii * 5000 - + (slot + 1) * num_points_per_task - ], - task_id=0, - ) - else: - learner.add_transformer( - X=train_x[ - task_ii * 5000 - + slot * num_points_per_task : task_ii * 5000 - + (slot + 1) * num_points_per_task - ], - y=train_y[ - task_ii * 5000 - + slot * num_points_per_task : task_ii * 5000 - + (slot + 1) * num_points_per_task - ], - ) - - # Make a prediction on task 0 using the trained learner on test data - llf_task = learner.predict(test_x[:1000], task_id=0) - - # Calculate the accuracy of the task 0 predictions - acc = np.mean(llf_task == test_y[:1000]) - accuracies_across_tasks.append(acc) + tmp_y = train_y[ + task_ii * 5000 + + slot * num_points_per_task : task_ii * 5000 + + (slot + 1) * num_points_per_task + ] + + if task_ii != 0: + np.random.shuffle(tmp_y) + + progressive_learner.add_task( + X=train_x[ + task_ii * 5000 + + slot * num_points_per_task : task_ii * 5000 + + (slot + 1) * num_points_per_task + ], + y=tmp_y, + num_transformers=ntrees, + transformer_voter_decider_split=[0.63, 0.37, 0], + decider_kwargs={ + "classes": np.unique( + train_y[ + task_ii * 5000 + + slot * num_points_per_task : task_ii * 5000 + + (slot + 1) * num_points_per_task + ] + ) + }, + ) + + llf_task = progressive_learner.predict(X=test_x[0:1000, :], task_id=0) + shifts.append(shift) - print("Accuracy Across Tasks: {}".format(accuracies_across_tasks)) + accuracies_across_tasks.append(np.mean(llf_task == test_y[0:1000])) df["data_fold"] = shifts df["task"] = range(1, 11) @@ -252,14 +257,22 @@ def plot_bte(btes): fig, ax = plt.subplots(1, 1, figsize=(10, 8)) # Plot the results - ax.plot(np.arange(1, 11), btes[0], c=c[0], label="L2F", linewidth=3) + ax.plot(np.arange(1, 11), btes[0], c=c[0], label="Odif", linewidth=3) # Format the plot, and show result - ax.set_yticks([0.9, 0.95, 1, 1.05, 1.1, 1.15, 1.2]) + ax.set_yticks([1, 1.1, 1.15]) + log_lbl = np.round(np.log([1, 1.1, 1.15]), 2) + labels = [item.get_text() for item in ax.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax.set_yticklabels(labels) + ax.set_xticks(np.arange(1, 11)) ax.tick_params(labelsize=20) ax.set_xlabel("Number of tasks seen", fontsize=24) - ax.set_ylabel("Backward Transfer Efficiency", fontsize=24) + ax.set_ylabel("log Backward TE", fontsize=24) ax.set_title("Label Shuffled CIFAR", fontsize=24) ax.hlines(1, 1, 10, colors="grey", linestyles="dashed", linewidth=1.5) right_side = ax.spines["right"] diff --git a/docs/tutorials/functions/random_class_functions.py b/docs/experiments/functions/random_class_functions.py similarity index 74% rename from docs/tutorials/functions/random_class_functions.py rename to docs/experiments/functions/random_class_functions.py index b5520f7750..93c3b1eac4 100644 --- a/docs/tutorials/functions/random_class_functions.py +++ b/docs/experiments/functions/random_class_functions.py @@ -36,12 +36,13 @@ def cross_val_data( data_x_train, data_y_train = data_x[train_idx], data_y[train_idx] data_x_test, data_y_test = data_x[test_idx], data_y[test_idx] - selected_classes = np.random.choice(range(0, 100), total_task) + selected_classes = np.random.choice(range(0, 100), 10, replace=False) + # print(selected_classes) train_idxs_of_selected_class = np.array( [np.where(data_y_train == y_val)[0] for y_val in selected_classes] ) num_points_per_class_per_slot = [ - int(len(train_idxs_of_selected_class[class_idx]) // total_task) + int(len(train_idxs_of_selected_class[class_idx]) // 10) for class_idx in range(len(selected_classes)) ] selected_idxs = np.concatenate( @@ -62,36 +63,40 @@ def cross_val_data( ) data_x_test = data_x_test[test_idxs_of_selected_class] data_y_test = data_y_test[test_idxs_of_selected_class] - + # print(np.unique(data_y_train)) return data_x_train, data_y_train, data_x_test, data_y_test -# The method runs the lifelong learning experiments -def L2_experiment( - data_x, data_y, ntrees, shift, slot, num_points_per_task, task_num, acorn=None +# The method runs the omnidirectional learning experiments +def Odif_experiment( + data_x, data_y, ntrees, shift, slot, num_points_per_task, acorn=None ): - # construct dataframes df = pd.DataFrame() shifts = [] slots = [] accuracies_across_tasks = [] - # randomly separate the training and testing subsets train_x_task0, train_y_task0, test_x_task0, test_y_task0 = cross_val_data( data_x, data_y, num_points_per_task, total_task=10, shift=shift, slot=slot ) - # choose Uncertainty Forest as transformer + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": 30, "max_features": "auto"}} + + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} + + default_decider_class = SimpleArgmaxAverage + progressive_learner = ProgressiveLearner( - default_transformer_class=TreeClassificationTransformer, - default_transformer_kwargs={"kwargs": {"max_depth": 30}}, - default_voter_class=TreeClassificationVoter, - default_voter_kwargs={}, - default_decider_class=SimpleArgmaxAverage, + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, ) - # training process progressive_learner.add_task( X=train_x_task0, y=train_y_task0, @@ -100,18 +105,13 @@ def L2_experiment( decider_kwargs={"classes": np.unique(train_y_task0)}, ) - # testing process task_0_predictions = progressive_learner.predict(test_x_task0, task_id=0) - # record results shifts.append(shift) slots.append(slot) accuracies_across_tasks.append(np.mean(task_0_predictions == test_y_task0)) - # repeating the tasks for task_num times - for task_ii in range(1, task_num): - - # randomly separate the training and testing subsets + for task_ii in range(1, 20): train_x, train_y, _, _ = cross_val_data( data_x, data_y, @@ -122,48 +122,27 @@ def L2_experiment( task=task_ii, ) - # training process - progressive_learner.add_transformer( + progressive_learner.add_task( X=train_x, y=train_y, - transformer_data_proportion=1, num_transformers=ntrees, - backward_task_ids=[0], + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={"classes": np.unique(train_y)}, ) - # testing process task_0_predictions = progressive_learner.predict(test_x_task0, task_id=0) - # record results shifts.append(shift) slots.append(slot) accuracies_across_tasks.append(np.mean(task_0_predictions == test_y_task0)) - # finalize dataframes df["data_fold"] = shifts df["slot"] = slots df["accuracy"] = accuracies_across_tasks - # save results return df -# The method allows multiple lifelong forest experiments to be run at the same time -def run_parallel_exp( - data_x, data_y, n_trees, num_points_per_task, task_num, slot=0, shift=1 -): - return L2_experiment( - data_x, - data_y, - n_trees, - shift, - slot, - num_points_per_task, - task_num, - acorn=12345, - ) - - # The method calculates the bte and time results def calculate_results(df_results, slot_num, shift_num): btes = [] @@ -184,6 +163,7 @@ def calculate_results(df_results, slot_num, shift_num): return btes + # The method plots the Backward Transfer Efficiency def plot_bte(bte, fontsize, ticksize): @@ -204,14 +184,24 @@ def plot_bte(bte, fontsize, ticksize): c="red", linewidth=3, linestyle="solid", - label="L2F", + label="Odif", ) - + ax.hlines(1, 0, 19, colors="gray", linestyles="dashed", linewidth=1.5) + ax.set_xlabel("Number of Tasks Seen", fontsize=fontsize) + ax.set_ylabel("log TE (Task 1)", fontsize=fontsize) + ax.set_yticks([1, 1.1]) + ax.set_ylim(0.98, 1.12) ax.set_xlabel("Number of Tasks Seen", fontsize=fontsize) - ax.set_ylabel("BTE (Task 1)", fontsize=fontsize) - ax.set_yticks([1.0, 1.1, 1.2]) + log_lbl = np.round(np.log([1, 1.1]), 2) + labels = [item.get_text() for item in ax.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax.set_yticklabels(labels) + ax.tick_params(labelsize=ticksize) - ax.legend(fontsize=fontsize) + ax.legend(fontsize=fontsize, frameon=False) # show the BTE plot plt.tight_layout() diff --git a/docs/experiments/functions/recruitacrossdatasets_functions.py b/docs/experiments/functions/recruitacrossdatasets_functions.py new file mode 100644 index 0000000000..a81a7af987 --- /dev/null +++ b/docs/experiments/functions/recruitacrossdatasets_functions.py @@ -0,0 +1,699 @@ +import numpy as np +import pandas as pd + +import matplotlib.pyplot as plt +from matplotlib.ticker import ScalarFormatter +import seaborn as sns + +import os + +from proglearn.forest import LifelongClassificationForest +from proglearn.progressive_learner import ClassificationProgressiveLearner +from proglearn.transformers import TreeClassificationTransformer +from proglearn.voters import TreeClassificationVoter +from proglearn.deciders import SimpleArgmaxAverage +from sklearn.model_selection import train_test_split + + +### DATA IMPORT & PREPROCESSING ########################################### + + +def shift_data(x, y, shift): + """ + Shifts the order of datasets by moving the first dataset to the back. + + Arguments: + x - the data features to be shifted. + y - the labels to be shifted. + shift - number of times to shift + + Returns: + x_shifted - the shifted data features. + y_shifted - the shifted labels. + """ + + # shift x labels + x_shifted = x[shift:] + x[:shift] + y_shifted = y[shift:] + y[:shift] + + # modify labels based on shift + new_y = [] + for idx, lbl_set in enumerate(y_shifted): + if idx == 0: + new_y.append(y_shifted[idx]) + else: + counter = 0 + for i in range(idx): + counter += len(np.unique(y_shifted[i])) + new_y.append(y_shifted[idx] + counter) + y_shifted = new_y + + return x_shifted, y_shifted + + +def check_normalize(imgs, norm_indicator): + """ + Checks the value of `normalize`. If not false, performs normalization as indicated. + + Arguments: + imgs - the image data + norm_indicator - False, "dataset", or "image" + + Returns: + imgs - the normalized images. + """ + + # no normalization + if norm_indicator == False: + return imgs + + # normalization per image + elif norm_indicator == "image": + for img in imgs: + # normalize each channel in each image + for channel in range(3): + channel_max = np.amax(img[:, :, channel]) + channel_min = np.amin(img[:, :, channel]) + img[:, :, channel] = 255 * ( + (img[:, :, channel] - channel_min) / (channel_max - channel_min) + ) + # check that all images are on scale of 0-255 + for idx, img in enumerate(imgs): + maxes = np.array( + [np.amax(img[:, :, 0]), np.amax(img[:, :, 1]), np.amax(img[:, :, 2])] + ) + mins = np.array( + [np.amin(img[:, :, 0]), np.amin(img[:, :, 1]), np.amin(img[:, :, 2])] + ) + if np.logical_and( + maxes != np.array([255, 255, 255]), mins != np.array([0, 0, 0]) + ).any(): + print("CAUTION: error in normalization of image %d." % idx) + return imgs + + # normalization per dataset + elif norm_indicator == "dataset": + # normalize each channel over dataset + for channel in range(3): + channel_max = np.amax(imgs[:, :, :, channel]) + channel_min = np.amin(imgs[:, :, :, channel]) + imgs[:, :, :, channel] = 255 * ( + (imgs[:, :, :, channel] - channel_min) / (channel_max - channel_min) + ) + # check that all images within dataset are on scale of 0-255 + maxes = np.array( + [ + np.amax(imgs[:, :, :, 0]), + np.amax(imgs[:, :, :, 1]), + np.amax(imgs[:, :, :, 2]), + ] + ) + mins = np.array( + [ + np.amin(imgs[:, :, :, 0]), + np.amin(imgs[:, :, :, 1]), + np.amin(imgs[:, :, :, 2]), + ] + ) + if np.logical_and( + maxes != np.array([255, 255, 255]), mins != np.array([0, 0, 0]) + ).any(): + print("CAUTION: error in normalization of dataset.") + return imgs + + else: + print( + "ERROR: unclear indication of normalization method. Returning original array..." + ) + return imgs + + +def import_data(normalize=False): + """ + Imports the data for the FTE/BTE experiments and the recruitment experiment. + + Arguments: + normalize - False, "dataset", or "image" + + Returns: + data - the imported data features. + classes - the imported class labels. + """ + + # create matrices for storing data + data = [] + classes = [] + + ### import datasets that emily preprocessed ########################### + for set1 in ["101_ObjectCategories", "CIFAR_10", "CIFAR_100"]: + # load from npz + load = np.load(set1 + ".npz") + # normalize if indicated + imgs = check_normalize(load["imgs"], normalize) + # reformat and append + data.append(imgs.reshape(len(imgs), -1).astype(np.uint8)) + classes.append(load["lbls"].astype(np.uint16)) + + ### import datasets that rahul preprocessed ########################### + ## food_101 + food_101 = np.empty((0, 32 * 32 * 3), np.uint8) + for set2 in [ + "food_101_array_data_x_1", + "food_101_array_data_x_2", + "food_101_array_data_x_3", + "food_101_array_data_x_4", + ]: + # load from npz + load = np.load(set2 + ".npz") + # normalize if indicated + imgs = check_normalize(load["arr_0"], normalize) + # reformat and append + food_101 = np.vstack((food_101, imgs.reshape(len(imgs), -1).astype(np.uint8))) + data.append(food_101) + classes.append( + np.concatenate([([i] * 1000) for i in list(range(100))], axis=0).astype( + np.uint16 + ) + ) + ## DTD + # load from npz + load = np.load("dtd_array_data_x.npz") + # normalize if indicated + imgs = check_normalize(load["arr_0"], normalize) + # reformat and append + data.append(imgs.reshape(len(imgs), -1).astype(np.uint8)) + classes.append( + np.concatenate([([i] * 120) for i in list(range(40))], axis=0).astype(np.uint16) + ) + + return data, classes + + +### FTE/BTE EXPERIMENT ########################################### + + +def ftebte_exp(x, y, model, num_tasks, num_trees, reps, shift): + """ + Runs the FTE/BTE experiment given the following parameters: + x - data features + y - data labels + model - "uf" or "nn" + num_tasks - number of tasks + num_trees - number of trees + shift - whether to shift the data + """ + + # shift data if indicated + x, y = shift_data(x, y, shift) + + # initialize list for storing results + accuracies_across_tasks = [] + + # get y values per task + ys_by_task = [np.unique(i) for i in y] + + # get the count of the least frequent label over all tasks + min_labelct = np.min( + [np.min(np.unique(each_set, return_counts=True)[1]) for each_set in y] + ) + + # run experiment over all reps + for rep in range(reps): + train_x_task = [] + train_y_task = [] + test_x_task = [] + test_y_task = [] + + # sample min points (31) from each dataset + x_sample = [] + y_sample = [] + for dataset, label in zip(x, y): + sample = [] + for unique_label in np.unique(label): + sample += list( + np.random.choice(np.where(label == unique_label)[0], min_labelct) + ) + x_sample.append(dataset[sample]) + y_sample.append(label[sample]) + + # initialize overall learner + learner = LifelongClassificationForest( + default_n_estimators=num_trees, default_max_depth=30 + ) + + # for each task + for task in range(num_tasks): + # get train/test data + tr_x, te_x, tr_y, te_y = train_test_split( + x_sample[task], y_sample[task], test_size=0.2 + ) + train_x_task.append(tr_x) + train_y_task.append(tr_y) + test_x_task.append(te_x) + test_y_task.append(te_y) + + # predict on single task (UF learner) - CHANGE TO UNCERTAINTYFOREST LATER + uf_learner = LifelongClassificationForest( + default_n_estimators=num_trees, default_max_depth=30 + ) + uf_learner.add_task(train_x_task[task], train_y_task[task]) + uf_predictions = uf_learner.predict(test_x_task[task], task_id=0) + accuracies_across_tasks.append(np.mean(uf_predictions == test_y_task[task])) + + # feed to overall learner + learner.add_task(train_x_task[task], train_y_task[task]) + + # evaluate for other tasks + for other_task in range(num_tasks): + + if other_task > task: + pass + + else: + # predict on current task using other tasks + prev_task_predictions = learner.predict( + test_x_task[other_task], task_id=other_task + ) + accuracies_across_tasks.append( + np.mean(prev_task_predictions == test_y_task[other_task]) + ) + + # average results + accuracy_all_task = np.array(accuracies_across_tasks).reshape((reps, -1)) + accuracy_all_task = np.mean(accuracy_all_task, axis=0) + + return accuracy_all_task + + +def get_metrics(accuracy_all_task, num_tasks): + """ + Gets the transfer efficiency metrics given accuracies over all tasks. + """ + + # accuracy + err = [[] for i in range(num_tasks)] + for i in range(num_tasks): + for j in range(i, num_tasks): + err[i].append(1 - accuracy_all_task[np.sum(list(range(1, j + 2))) + i]) + + # backwards transfer efficiency + bte = [[] for i in range(num_tasks)] + for i in range(num_tasks): + for j in range(i, num_tasks): + err_up_to_taskt = 1 - accuracy_all_task[np.sum(list(range(1, i + 2))) + i] + err_all_seen = 1 - accuracy_all_task[np.sum(list(range(1, j + 2))) + i] + bte[i].append(err_up_to_taskt / err_all_seen) + + # forwards transfer efficiency + fte = [[] for i in range(num_tasks)] + for i in range(num_tasks): + err_taskt_only = 1 - accuracy_all_task[np.sum(list(range(1, i + 2))) - 1] + err_up_to_taskt = 1 - accuracy_all_task[np.sum(list(range(1, i + 2))) + i] + fte[i].append(err_taskt_only / err_up_to_taskt) + + # transfer efficiency + te = [[] for i in range(num_tasks)] + for i in range(num_tasks): + for j in range(i, num_tasks): + err_taskt_only = 1 - accuracy_all_task[np.sum(list(range(1, i + 2))) - 1] + err_all_seen = 1 - accuracy_all_task[np.sum(list(range(1, j + 2))) + i] + te[i].append(err_taskt_only / err_all_seen) + + return err, bte, fte, te + + +def plot_ftebte(num_tasks, err, bte, fte, te): + """ + Plots the results of the FTE/BTE experiment. + """ + + # set figure parameters and plot results + sns.set_style("ticks") + clr = ["#e41a1c", "#a65628", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#CCCC00"] + fontsize = 32 + ticksize = 32 + + fig, ax = plt.subplots(2, 2, figsize=(16, 11.5)) + sns.despine() + sns.color_palette("Set1") + + ax[0][0].plot( + np.arange(1, num_tasks + 1), + fte, + c="red", + marker=".", + markersize=14, + linewidth=3, + ) + ax[0][0].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[0][0].tick_params(labelsize=ticksize) + ax[0][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][0].set_ylabel("log Forward TE", fontsize=fontsize) + ax[0][0].set_xticks(list(range(1, num_tasks + 1))) + ax[0][0].set_yticks([1, 1.05, 1.1]) + log_lbl = np.round(np.log([1, 1.05, 1.1]), 2) + labels = [item.get_text() for item in ax[0][0].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[0][0].set_yticklabels(labels) + + for i in range(num_tasks): + et = np.asarray(bte[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[0][1].plot(ns, et, c="red", marker=".", markersize=14, linewidth=3) + + ax[0][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][1].set_ylabel("log Backward TE", fontsize=fontsize) + ax[0][1].tick_params(labelsize=ticksize) + ax[0][1].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[0][1].set_xticks(list(range(1, num_tasks + 1))) + ax[0][1].set_yticks([1, 1.05, 1.1]) + log_lbl = np.round(np.log([1, 1.05, 1.1]), 2) + labels = [item.get_text() for item in ax[0][1].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[0][1].set_yticklabels(labels) + + for i in range(num_tasks): + et = np.asarray(te[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1][0].plot(ns, et, c="red", marker=".", markersize=14, linewidth=3) + + ax[1][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][0].set_ylabel("log TE", fontsize=fontsize) + # ax[1][0].set_xticks(np.arange(1,10)) + ax[1][0].tick_params(labelsize=ticksize) + ax[1][0].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[1][0].set_xticks(list(range(1, num_tasks + 1))) + ax[1][0].set_yticks([1, 1.05, 1.1]) + log_lbl = np.round(np.log([1, 1.05, 1.1]), 2) + labels = [item.get_text() for item in ax[1][0].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[1][0].set_yticklabels(labels) + + for i in range(num_tasks): + et = np.asarray(err[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1][1].plot(ns, 1 - et, c="red", marker=".", markersize=14, linewidth=3) + + ax[1][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][1].set_ylabel("Accuracy", fontsize=fontsize) + ax[1][1].tick_params(labelsize=ticksize) + ax[1][1].set_xticks([1, 2, 3, 4, 5]) + ax[1][1].set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5]) + + # fig.suptitle("", fontsize=36) + plt.tight_layout() + + +### RECRUITMENT EXPERIMENT ########################################### + + +class PosteriorsByTreeLearner(ClassificationProgressiveLearner): + """ + Variation on the progressive learner class ClassificationProgressiveLearner + to allow for return of posterior probabilities by tree. + """ + + def predict_proba(self, X, task_id, transformer_ids=None): + """ + Calls predict_proba_tree for the decider class. Works in conjunction with + class PosteriorsByTree. + """ + decider = self.task_id_to_decider[task_id] + return self.task_id_to_decider[task_id].predict_proba_tree( + X, transformer_ids=transformer_ids + ) + + +class PosteriorsByTree(SimpleArgmaxAverage): + """Variation on the decider class SimpleArgmaxAverage to allow for return of + posterior probabilities by tree. + """ + + def predict_proba_tree(self, X, transformer_ids=None): + """ + Predicts posterior probabilities by tree. + Returns array of dimension (num_transformers*len(transformer_ids)) + containing posterior probabilities. + """ + vote_per_alltrees = [] + for transformer_id in ( + transformer_ids + if transformer_ids is not None + else self.transformer_id_to_voters_.keys() + ): + for bag_id in range( + len(self.transformer_id_to_transformers_[transformer_id]) + ): + transformer = self.transformer_id_to_transformers_[transformer_id][ + bag_id + ] + X_transformed = transformer.transform(X) + voter = self.transformer_id_to_voters_[transformer_id][bag_id] + vote = voter.predict_proba(X_transformed) + vote_per_alltrees.append(vote) + return vote_per_alltrees + + +def recruitment_exp(x, y, num_tasks, num_trees, reps, estimation_set, shift=0): + """ + Run the recruitment experiment. + Generalized for MNIST datasets and different task numbers. + """ + + # shift data if indicated + x, y = shift_data(x, y, shift) + + # create matrices for storing values + hybrid = np.zeros(reps, dtype=float) + building = np.zeros(reps, dtype=float) + recruiting = np.zeros(reps, dtype=float) + uf = np.zeros(reps, dtype=float) + mean_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + std_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + + # get y values and number labels per task + ys_by_task = [np.unique(i) for i in y] + num_labels_by_task = [len(ys) for ys in ys_by_task] + + # get samples at 1x, 10x, 50x, and 100x number labels + last_task_sample = num_labels_by_task[-1] * np.array([1, 5, 10, 25]) + + # get the count of the least frequent label over all tasks + min_labelct = np.min( + [np.min(np.unique(each_set, return_counts=True)[1]) for each_set in y] + ) + + # iterate over all sample sizes ns + for ns in last_task_sample: + + # size of estimation and validation sample sets + estimation_sample_no = int(np.ceil(estimation_set * ns)) + validation_sample_no = ns - estimation_sample_no + + # repeat `rep` times + for rep in range(reps): + ####### PREP DATA ################################## + + train_x_task = [] + train_y_task = [] + test_x_task = [] + test_y_task = [] + + # sample [train+test]_points_per_task from each dataset + for dataset, label in zip(x, y): + + # get min_labelct samples from each + sample = [] + for unique_label in np.unique(label): + sample += list( + np.random.choice( + np.where(label == unique_label)[0], min_labelct + ) + ) + + # get train/test data + tr_x, te_x, tr_y, te_y = train_test_split( + dataset[sample], label[sample], test_size=0.1 + ) + train_x_task.append(tr_x) + train_y_task.append(tr_y) + test_x_task.append(te_x) + test_y_task.append(te_y) + + #################################################### + + # initiate lifelong learner + odif = PosteriorsByTreeLearner( + default_transformer_class=TreeClassificationTransformer, + default_transformer_kwargs={}, + default_voter_class=TreeClassificationVoter, + default_voter_kwargs={}, + default_decider_class=PosteriorsByTree, + default_decider_kwargs={}, + ) + + # train odif on first tasks + for task in range(num_tasks - 1): + + cur_X = train_x_task[task] + cur_y = train_y_task[task] + + odif.add_task( + cur_X, + cur_y, + num_transformers=num_trees, + transformer_kwargs={"kwargs": {"max_depth": 30}}, + voter_kwargs={"classes": np.unique(cur_y)}, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + # train odif on last task + cur_X = train_x_task[num_tasks - 1][:estimation_sample_no] + cur_y = train_y_task[num_tasks - 1][:estimation_sample_no] + + odif.add_task( + cur_X, + cur_y, + num_transformers=num_trees, + transformer_kwargs={"kwargs": {"max_depth": 30}}, + voter_kwargs={"classes": np.unique(cur_y)}, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + ## Odif validation #################################### + # get posteriors for odif on first 9 tasks + # want posteriors_across_trees to have shape ((num_tasks-1)*num_trees, validation_sample_no, 10) + posteriors_across_trees = odif.predict_proba( + train_x_task[num_tasks - 1][estimation_sample_no:], + task_id=num_tasks - 1, + transformer_ids=list(range(num_tasks - 1)), + ) + # compare error in each tree and choose best num_trees/2 trees + error_across_trees = np.zeros((num_tasks - 1) * num_trees) + validation_target = train_y_task[num_tasks - 1][estimation_sample_no:] + for tree in range(len(posteriors_across_trees)): + res = np.argmax(posteriors_across_trees[tree], axis=1) + sum( + num_labels_by_task[: num_tasks - 1] + ) + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_n_tree = np.argsort(error_across_trees)[:num_trees] + best_halfn_tree = best_n_tree[: int(num_trees / 2)] + + ## uf trees validation ############################### + # get posteriors for odif on only the 10th task + posteriors_across_trees = odif.predict_proba( + train_x_task[num_tasks - 1][estimation_sample_no:], + task_id=num_tasks - 1, + transformer_ids=[num_tasks - 1], + ) + # compare error in each tree and choose best num_trees/2 trees + error_across_trees = np.zeros(num_trees) + validation_target = train_y_task[num_tasks - 1][estimation_sample_no:] + for tree in range(num_trees): + res = np.argmax(posteriors_across_trees[tree], axis=1) + sum( + num_labels_by_task[: num_tasks - 1] + ) + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_halfn_uf_tree = np.argsort(error_across_trees)[: int(num_trees / 2)] + + ## evaluation ######################################## + # train 10th tree under each scenario: building, recruiting, hybrid, UF + # BUILDING + building_res = odif.predict( + test_x_task[num_tasks - 1], task_id=num_tasks - 1 + ) + building[rep] = 1 - np.mean(test_y_task[num_tasks - 1] == building_res) + # UF + uf_res = odif.predict( + test_x_task[num_tasks - 1], + task_id=num_tasks - 1, + transformer_ids=[num_tasks - 1], + ) + uf[rep] = 1 - np.mean(test_y_task[num_tasks - 1] == uf_res) + # RECRUITING + posteriors_across_trees = odif.predict_proba( + test_x_task[num_tasks - 1], + task_id=num_tasks - 1, + transformer_ids=list(range(num_tasks - 1)), + ) + recruiting_posterior = np.mean( + np.array(posteriors_across_trees)[best_n_tree], axis=0 + ) + res = np.argmax(recruiting_posterior, axis=1) + sum( + num_labels_by_task[: num_tasks - 1] + ) + recruiting[rep] = 1 - np.mean(test_y_task[num_tasks - 1] == res) + # HYBRID + posteriors_across_trees_hybrid_uf = odif.predict_proba( + test_x_task[num_tasks - 1], + task_id=num_tasks - 1, + transformer_ids=[num_tasks - 1], + ) + hybrid_posterior_all = np.concatenate( + ( + np.array(posteriors_across_trees)[best_halfn_tree], + np.array(posteriors_across_trees_hybrid_uf)[best_halfn_uf_tree], + ), + axis=0, + ) + hybrid_posterior = np.mean(hybrid_posterior_all, axis=0) + hybrid_res = np.argmax(hybrid_posterior, axis=1) + sum( + num_labels_by_task[: num_tasks - 1] + ) + hybrid[rep] = 1 - np.mean(test_y_task[num_tasks - 1] == hybrid_res) + + # calculate mean and stdev for each + mean_accuracy_dict["building"].append(np.mean(building)) + std_accuracy_dict["building"].append(np.std(building, ddof=1)) + mean_accuracy_dict["UF"].append(np.mean(uf)) + std_accuracy_dict["UF"].append(np.std(uf, ddof=1)) + mean_accuracy_dict["recruiting"].append(np.mean(recruiting)) + std_accuracy_dict["recruiting"].append(np.std(recruiting, ddof=1)) + mean_accuracy_dict["hybrid"].append(np.mean(hybrid)) + std_accuracy_dict["hybrid"].append(np.std(hybrid, ddof=1)) + + return mean_accuracy_dict, std_accuracy_dict, last_task_sample + + +def recruitment_plot(mean_acc_dict, std_acc_dict, last_task_sample, num_tasks): + """ + Plot the results from the recruitment experiment. + """ + # determine colors and labels for figure + colors = sns.color_palette("Set1", n_colors=len(mean_acc_dict)) + labels = ["Odif (building)", "UF (new)", "recruiting", "hybrid"] + + # plot and format figure + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + for i, key in enumerate(mean_acc_dict): + ax.plot(last_task_sample, mean_acc_dict[key], c=colors[i], label=labels[i]) + upper_bound = np.array(mean_acc_dict[key]) + 1.96 * np.array(std_acc_dict[key]) + lower_bound = np.array(mean_acc_dict[key]) - 1.96 * np.array(std_acc_dict[key]) + ax.fill_between( + last_task_sample, + upper_bound, + lower_bound, + where=upper_bound >= lower_bound, + facecolor=colors[i], + alpha=0.15, + interpolate=False, + ) + ax.set_title("Recruitment Across Datasets", fontsize=30) + ax.set_ylabel("Generalization Error (Task %d)" % num_tasks, fontsize=28) + ax.set_xlabel("Number of Task %d Samples" % num_tasks, fontsize=30) + ax.tick_params(labelsize=28) + ax.set_xscale("log") + ax.set_xticks(last_task_sample) + ax.get_xaxis().set_major_formatter(ScalarFormatter()) + ax.minorticks_off() + ax.set_ylim(0.8, 1.0) + ax.set_yticks([0.5, 0.6, 0.7, 0.8, 0.9, 1.00]) + ax.legend(fontsize=12) + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + plt.tight_layout() diff --git a/docs/experiments/functions/recruitment_functions.py b/docs/experiments/functions/recruitment_functions.py new file mode 100644 index 0000000000..29f62fb24a --- /dev/null +++ b/docs/experiments/functions/recruitment_functions.py @@ -0,0 +1,750 @@ +import numpy as np +from math import log2, ceil +import random + +import matplotlib.pyplot as plt +from matplotlib.ticker import ScalarFormatter +import seaborn as sns + +from proglearn.progressive_learner import ClassificationProgressiveLearner +from proglearn.transformers import TreeClassificationTransformer +from proglearn.voters import TreeClassificationVoter +from proglearn.deciders import SimpleArgmaxAverage + + +class PosteriorsByTreeLearner(ClassificationProgressiveLearner): + """ + Variation on the progressive learner class ClassificationProgressiveLearner + to allow for return of posterior probabilities by tree. + """ + + def predict_proba(self, X, task_id, transformer_ids=None): + """ + Calls predict_proba_tree for the decider class. Works in conjunction with + class PosteriorsByTree. + """ + decider = self.task_id_to_decider[task_id] + return self.task_id_to_decider[task_id].predict_proba_tree( + X, transformer_ids=transformer_ids + ) + + +class PosteriorsByTree(SimpleArgmaxAverage): + """Variation on the decider class SimpleArgmaxAverage to allow for return of + posterior probabilities by tree. + """ + + def predict_proba_tree(self, X, transformer_ids=None): + """ + Predicts posterior probabilities by tree. + + Returns array of dimension (num_transformers*len(transformer_ids)) + containing posterior probabilities. + """ + vote_per_alltrees = [] + for transformer_id in ( + transformer_ids + if transformer_ids is not None + else self.transformer_id_to_voters_.keys() + ): + for bag_id in range( + len(self.transformer_id_to_transformers_[transformer_id]) + ): + transformer = self.transformer_id_to_transformers_[transformer_id][ + bag_id + ] + X_transformed = transformer.transform(X) + voter = self.transformer_id_to_voters_[transformer_id][bag_id] + vote = voter.predict_proba(X_transformed) + vote_per_alltrees.append(vote) + return vote_per_alltrees + + +def sort_data(data_x, data_y, num_points_per_task, total_task=10, shift=1): + """ + Sorts data into training and testing data sets for each task. + """ + + # get data and indices + x = data_x.copy() + y = data_y.copy() + idx = [np.where(data_y == u)[0] for u in np.unique(data_y)] + + # initialize lists + train_x_across_task = [] + train_y_across_task = [] + test_x_across_task = [] + test_y_across_task = [] + + # calculate amount of samples per task + batch_per_task = 5000 // num_points_per_task + sample_per_class = num_points_per_task // total_task + test_data_slot = 100 // batch_per_task + + # sort data into batches per class + for task in range(total_task): + for batch in range(batch_per_task): + for class_no in range(task * 10, (task + 1) * 10, 1): + indx = np.roll(idx[class_no], (shift - 1) * 100) + # if first batch, reset arrays with new data ; otherwise, concatenate arrays + if batch == 0 and class_no == task * 10: + train_x = x[ + indx[batch * sample_per_class : (batch + 1) * sample_per_class], + :, + ] + train_y = y[ + indx[batch * sample_per_class : (batch + 1) * sample_per_class] + ] + test_x = x[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ], + :, + ] + test_y = y[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ] + ] + else: + train_x = np.concatenate( + ( + train_x, + x[ + indx[ + batch + * sample_per_class : (batch + 1) + * sample_per_class + ], + :, + ], + ), + axis=0, + ) + train_y = np.concatenate( + ( + train_y, + y[ + indx[ + batch + * sample_per_class : (batch + 1) + * sample_per_class + ] + ], + ), + axis=0, + ) + test_x = np.concatenate( + ( + test_x, + x[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ], + :, + ], + ), + axis=0, + ) + test_y = np.concatenate( + ( + test_y, + y[ + indx[ + batch * test_data_slot + + 500 : (batch + 1) * test_data_slot + + 500 + ] + ], + ), + axis=0, + ) + + # append data to lists + train_x_across_task.append(train_x) + train_y_across_task.append(train_y) + test_x_across_task.append(test_x) + test_y_across_task.append(test_y) + + return ( + train_x_across_task, + train_y_across_task, + test_x_across_task, + test_y_across_task, + ) + + +def experiment( + train_x_across_task, + train_y_across_task, + test_x_across_task, + test_y_across_task, + ntrees, + reps, + estimation_set, + num_points_per_task, + num_points_per_forest, + task_10_sample, +): + """ + Run the recruitment experiment. + """ + + # create matrices for storing values + hybrid = np.zeros(reps, dtype=float) + building = np.zeros(reps, dtype=float) + recruiting = np.zeros(reps, dtype=float) + uf = np.zeros(reps, dtype=float) + mean_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + std_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + + # iterate over all sample sizes ns + for ns in task_10_sample: + + # size of estimation and validation sample sets + estimation_sample_no = ceil(estimation_set * ns) + validation_sample_no = ns - estimation_sample_no + + # repeat `rep` times + for rep in range(reps): + print("doing {} samples for {} th rep".format(ns, rep)) + + # initiate lifelong learner + l2f = PosteriorsByTreeLearner( + default_transformer_class=TreeClassificationTransformer, + default_transformer_kwargs={}, + default_voter_class=TreeClassificationVoter, + default_voter_kwargs={}, + default_decider_class=PosteriorsByTree, + default_decider_kwargs={}, + ) + + # train l2f on first 9 tasks + for task in range(9): + indx = np.random.choice( + num_points_per_task, num_points_per_forest, replace=False + ) + cur_X = train_x_across_task[task][indx] + cur_y = train_y_across_task[task][indx] + + l2f.add_task( + cur_X, + cur_y, + num_transformers=ntrees, + # transformer_kwargs={"kwargs":{"max_depth": ceil(log2(num_points_per_forest))}}, + voter_kwargs={ + "classes": np.unique(cur_y), + }, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + # train l2f on 10th task + task_10_train_indx = np.random.choice( + num_points_per_task, ns, replace=False + ) + cur_X = train_x_across_task[9][task_10_train_indx[:estimation_sample_no]] + cur_y = train_y_across_task[9][task_10_train_indx[:estimation_sample_no]] + + l2f.add_task( + cur_X, + cur_y, + num_transformers=ntrees, + # transformer_kwargs={"kwargs":{"max_depth": ceil(log2(estimation_sample_no))}}, + voter_kwargs={ + "classes": np.unique(cur_y), + }, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + ## L2F validation #################################### + # get posteriors for l2f on first 9 tasks + # want posteriors_across_trees to have shape (9*ntrees, validation_sample_no, 10) + posteriors_across_trees = l2f.predict_proba( + train_x_across_task[9][task_10_train_indx[estimation_sample_no:]], + task_id=9, + transformer_ids=[0, 1, 2, 3, 4, 5, 6, 7, 8], + ) + # compare error in each tree and choose best 25/50 trees + error_across_trees = np.zeros(9 * ntrees) + validation_target = train_y_across_task[9][ + task_10_train_indx[estimation_sample_no:] + ] + for tree in range(len(posteriors_across_trees)): + res = np.argmax(posteriors_across_trees[tree], axis=1) + 90 + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_50_tree = np.argsort(error_across_trees)[:50] + best_25_tree = best_50_tree[:25] + + ## uf trees validation ############################### + # get posteriors for l2f on only the 10th task + posteriors_across_trees = l2f.predict_proba( + train_x_across_task[9][task_10_train_indx[estimation_sample_no:]], + task_id=9, + transformer_ids=[9], + ) + # compare error in each tree and choose best 25 trees + error_across_trees = np.zeros(ntrees) + validation_target = train_y_across_task[9][ + task_10_train_indx[estimation_sample_no:] + ] + for tree in range(ntrees): + res = np.argmax(posteriors_across_trees[tree], axis=1) + 90 + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_25_uf_tree = np.argsort(error_across_trees)[:25] + + ## evaluation ######################################## + # train 10th tree under each scenario: building, recruiting, hybrid, UF + # BUILDING + building_res = l2f.predict(test_x_across_task[9], task_id=9) + building[rep] = 1 - np.mean(test_y_across_task[9] == building_res) + # UF + uf_res = l2f.predict(test_x_across_task[9], task_id=9, transformer_ids=[9]) + uf[rep] = 1 - np.mean(test_y_across_task[9] == uf_res) + # RECRUITING + posteriors_across_trees = l2f.predict_proba( + test_x_across_task[9], + task_id=9, + transformer_ids=[0, 1, 2, 3, 4, 5, 6, 7, 8], + ) + recruiting_posterior = np.mean( + np.array(posteriors_across_trees)[best_50_tree], axis=0 + ) + res = np.argmax(recruiting_posterior, axis=1) + 90 + recruiting[rep] = 1 - np.mean(test_y_across_task[9] == res) + # HYBRID + posteriors_across_trees_hybrid_uf = l2f.predict_proba( + test_x_across_task[9], task_id=9, transformer_ids=[9] + ) + hybrid_posterior_all = np.concatenate( + ( + np.array(posteriors_across_trees)[best_25_tree], + np.array(posteriors_across_trees_hybrid_uf)[best_25_uf_tree], + ), + axis=0, + ) + hybrid_posterior = np.mean(hybrid_posterior_all, axis=0) + hybrid_res = np.argmax(hybrid_posterior, axis=1) + 90 + hybrid[rep] = 1 - np.mean(test_y_across_task[9] == hybrid_res) + + # print(np.mean(building)) + # print(np.mean(uf)) + # print(np.mean(recruiting)) + # print(np.mean(hybrid)) + + # calculate mean and stdev for each + mean_accuracy_dict["building"].append(np.mean(building)) + std_accuracy_dict["building"].append(np.std(building, ddof=1)) + mean_accuracy_dict["UF"].append(np.mean(uf)) + std_accuracy_dict["UF"].append(np.std(uf, ddof=1)) + mean_accuracy_dict["recruiting"].append(np.mean(recruiting)) + std_accuracy_dict["recruiting"].append(np.std(recruiting, ddof=1)) + mean_accuracy_dict["hybrid"].append(np.mean(hybrid)) + std_accuracy_dict["hybrid"].append(np.std(hybrid, ddof=1)) + + return mean_accuracy_dict, std_accuracy_dict + + +def recruitment_plot(mean_acc_dict, std_acc_dict, ns): + """ + Plot the results from the recruitment experiment. + """ + + # determine colors and labels for figure + colors = sns.color_palette("Set1", n_colors=len(mean_acc_dict)) + labels = ["Odif (building)", "UF (new)", "recruiting", "hybrid"] + + # plot and format figure + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + for i, key in enumerate(mean_acc_dict): + ax.plot(ns, mean_acc_dict[key], c=colors[i], label=labels[i]) + upper_bound = np.array(mean_acc_dict[key]) + 1.96 * np.array(std_acc_dict[key]) + lower_bound = np.array(mean_acc_dict[key]) - 1.96 * np.array(std_acc_dict[key]) + ax.fill_between( + ns, + upper_bound, + lower_bound, + where=upper_bound >= lower_bound, + facecolor=colors[i], + alpha=0.15, + interpolate=False, + ) + # ax.set_title("CIFAR Recruitment Experiment",fontsize=30) + ax.set_ylabel("Generalization Error (Task 10)", fontsize=28) + ax.set_xlabel("Number of Task 10 Samples", fontsize=30) + ax.tick_params(labelsize=28) + ax.set_xscale("log") + ax.set_xticks([100, 500, 5000]) + ax.get_xaxis().set_major_formatter(ScalarFormatter()) + ax.set_ylim(0.450, 0.825) + ax.set_yticks([0.45, 0.55, 0.65, 0.75]) + ax.legend(fontsize=12) + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + plt.tight_layout() + + +def sort_data_mnist( + x_train, + y_train, + x_test, + y_test, + num_points_per_task, + test_points_per_task, + n_tasks=10, + shift=1, +): + """ + Sorts data into training and testing data sets for each task. + Generalized for MNIST datasets and different task numbers. + """ + + # reformat data + x_train = x_train.reshape((x_train.shape[0], -1)) + x_test = x_test.reshape((x_test.shape[0], -1)) + + # get data and indices + unique_labels = np.unique(np.concatenate([y_train, y_test])) + idx_train = [np.where(y_train == u)[0] for u in unique_labels] + idx_test = [np.where(y_test == u)[0] for u in unique_labels] + idx_len = [len(i) for i in idx_train] + + # initialize lists + train_x_across_task = [] + train_y_across_task = [] + test_x_across_task = [] + test_y_across_task = [] + + # calculate amount of samples per task + labels_per_task = len(unique_labels) // n_tasks + # print(labels_per_task) + train_per_class = num_points_per_task // labels_per_task + # print(train_per_class) + test_per_class = test_points_per_task + # print(test_per_class) + + # sort data into batches per class + for task in range(n_tasks): + for class_no in range(task * labels_per_task, (task + 1) * labels_per_task, 1): + indx_train = np.roll( + idx_train[class_no], (shift - 1) * n_tasks * labels_per_task + ) + indx_test = np.roll( + idx_test[class_no], (shift - 1) * n_tasks * labels_per_task + ) + # if first batch, reset arrays with new data ; otherwise, concatenate arrays + if class_no == (task * labels_per_task): + xtr = x_train[indx_train[0:train_per_class], :] + ytr = y_train[indx_train[0:train_per_class]].flatten() + xte = x_test[indx_test[0:test_per_class], :] + yte = y_test[indx_test[0:test_per_class]].flatten() + else: + xtr = np.concatenate( + (xtr, x_train[indx_train[0:train_per_class], :]), axis=0 + ) + ytr = np.concatenate( + (ytr, y_train[indx_train[0:train_per_class]].flatten()), axis=0 + ) + xte = np.concatenate( + (xte, x_test[indx_test[0:test_per_class], :]), axis=0 + ) + yte = np.concatenate( + (yte, y_test[indx_test[0:test_per_class]].flatten()), axis=0 + ) + + # append data to lists + train_x_across_task.append(xtr) + train_y_across_task.append(ytr) + test_x_across_task.append(xte) + test_y_across_task.append(yte) + + return ( + train_x_across_task, + train_y_across_task, + test_x_across_task, + test_y_across_task, + ) + + +def experiment_mnist( + train_x_across_task, + train_y_across_task, + test_x_across_task, + test_y_across_task, + ntrees, + n_tasks, + reps, + estimation_set, + num_points_per_task, + num_points_per_forest, + task_10_sample, +): + """ + Run the recruitment experiment. + Generalized for MNIST datasets and different task numbers. + """ + + # create matrices for storing values + hybrid = np.zeros(reps, dtype=float) + building = np.zeros(reps, dtype=float) + recruiting = np.zeros(reps, dtype=float) + uf = np.zeros(reps, dtype=float) + mean_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + std_accuracy_dict = {"building": [], "UF": [], "recruiting": [], "hybrid": []} + + # calculate other params + unique_labels = np.unique(train_y_across_task) + labels_per_task = len(unique_labels) // n_tasks + # print(labels_per_task) + + # iterate over all sample sizes ns + for ns in task_10_sample: + + # size of estimation and validation sample sets + estimation_sample_no = ceil(estimation_set * ns) + validation_sample_no = ns - estimation_sample_no + + # repeat `rep` times + for rep in range(reps): + # print("doing {} samples for {} th rep".format(ns,rep)) + + # initiate lifelong learner + l2f = PosteriorsByTreeLearner( + default_transformer_class=TreeClassificationTransformer, + default_transformer_kwargs={}, + default_voter_class=TreeClassificationVoter, + default_voter_kwargs={}, + default_decider_class=PosteriorsByTree, + default_decider_kwargs={}, + ) + + # train l2f on first 9 tasks + for task in range(n_tasks - 1): + indx = np.random.choice( + num_points_per_task, num_points_per_forest, replace=False + ) + cur_X = train_x_across_task[task][indx] + cur_y = train_y_across_task[task][indx] + + l2f.add_task( + cur_X, + cur_y, + num_transformers=ntrees, + # transformer_kwargs={"kwargs":{"max_depth": ceil(log2(num_points_per_forest))}}, + voter_kwargs={"classes": np.unique(cur_y)}, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + # train l2f on 10th task + task_10_train_indx = np.random.choice( + num_points_per_task, ns, replace=False + ) + cur_X = train_x_across_task[n_tasks - 1][ + task_10_train_indx[:estimation_sample_no] + ] + cur_y = train_y_across_task[n_tasks - 1][ + task_10_train_indx[:estimation_sample_no] + ] + + l2f.add_task( + cur_X, + cur_y, + num_transformers=ntrees, + # transformer_kwargs={"kwargs":{"max_depth": ceil(log2(estimation_sample_no))}}, + voter_kwargs={"classes": np.unique(cur_y)}, + decider_kwargs={"classes": np.unique(cur_y)}, + ) + + ## L2F validation #################################### + # get posteriors for l2f on first 9 tasks + # want posteriors_across_trees to have shape ((n_tasks-1)*ntrees, validation_sample_no, 10) + posteriors_across_trees = l2f.predict_proba( + train_x_across_task[n_tasks - 1][ + task_10_train_indx[estimation_sample_no:] + ], + task_id=n_tasks - 1, + transformer_ids=list(range(n_tasks - 1)), + ) + # compare error in each tree and choose best 25/50 trees + error_across_trees = np.zeros((n_tasks - 1) * ntrees) + validation_target = train_y_across_task[n_tasks - 1][ + task_10_train_indx[estimation_sample_no:] + ] + for tree in range(len(posteriors_across_trees)): + res = np.argmax( + posteriors_across_trees[tree], axis=1 + ) + labels_per_task * (n_tasks - 1) + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_50_tree = np.argsort(error_across_trees)[:50] + best_25_tree = best_50_tree[:25] + + ## uf trees validation ############################### + # get posteriors for l2f on only the 10th task + posteriors_across_trees = l2f.predict_proba( + train_x_across_task[n_tasks - 1][ + task_10_train_indx[estimation_sample_no:] + ], + task_id=n_tasks - 1, + transformer_ids=[n_tasks - 1], + ) + # compare error in each tree and choose best 25 trees + error_across_trees = np.zeros(ntrees) + validation_target = train_y_across_task[n_tasks - 1][ + task_10_train_indx[estimation_sample_no:] + ] + for tree in range(ntrees): + res = np.argmax( + posteriors_across_trees[tree], axis=1 + ) + labels_per_task * (n_tasks - 1) + error_across_trees[tree] = 1 - np.mean(validation_target == res) + best_25_uf_tree = np.argsort(error_across_trees)[:25] + + ## evaluation ######################################## + # train 10th tree under each scenario: building, recruiting, hybrid, UF + # BUILDING + building_res = l2f.predict( + test_x_across_task[n_tasks - 1], task_id=n_tasks - 1 + ) + building[rep] = 1 - np.mean(test_y_across_task[n_tasks - 1] == building_res) + # UF + uf_res = l2f.predict( + test_x_across_task[n_tasks - 1], + task_id=n_tasks - 1, + transformer_ids=[n_tasks - 1], + ) + uf[rep] = 1 - np.mean(test_y_across_task[n_tasks - 1] == uf_res) + # RECRUITING + posteriors_across_trees = l2f.predict_proba( + test_x_across_task[n_tasks - 1], + task_id=n_tasks - 1, + transformer_ids=list(range(n_tasks - 1)), + ) + recruiting_posterior = np.mean( + np.array(posteriors_across_trees)[best_50_tree], axis=0 + ) + res = np.argmax(recruiting_posterior, axis=1) + labels_per_task * ( + n_tasks - 1 + ) + recruiting[rep] = 1 - np.mean(test_y_across_task[n_tasks - 1] == res) + # HYBRID + posteriors_across_trees_hybrid_uf = l2f.predict_proba( + test_x_across_task[n_tasks - 1], + task_id=n_tasks - 1, + transformer_ids=[n_tasks - 1], + ) + hybrid_posterior_all = np.concatenate( + ( + np.array(posteriors_across_trees)[best_25_tree], + np.array(posteriors_across_trees_hybrid_uf)[best_25_uf_tree], + ), + axis=0, + ) + hybrid_posterior = np.mean(hybrid_posterior_all, axis=0) + hybrid_res = np.argmax(hybrid_posterior, axis=1) + labels_per_task * ( + n_tasks - 1 + ) + hybrid[rep] = 1 - np.mean(test_y_across_task[n_tasks - 1] == hybrid_res) + + # print(np.mean(building)) + # print(np.mean(uf)) + # print(np.mean(recruiting)) + # print(np.mean(hybrid)) + + # calculate mean and stdev for each + mean_accuracy_dict["building"].append(np.mean(building)) + std_accuracy_dict["building"].append(np.std(building, ddof=1)) + mean_accuracy_dict["UF"].append(np.mean(uf)) + std_accuracy_dict["UF"].append(np.std(uf, ddof=1)) + mean_accuracy_dict["recruiting"].append(np.mean(recruiting)) + std_accuracy_dict["recruiting"].append(np.std(recruiting, ddof=1)) + mean_accuracy_dict["hybrid"].append(np.mean(hybrid)) + std_accuracy_dict["hybrid"].append(np.std(hybrid, ddof=1)) + + return mean_accuracy_dict, std_accuracy_dict + + +def recruitment_plot_mnist(mean_acc_dict, std_acc_dict, ns): + """ + Plot the results from the recruitment experiment for individual MNIST datasets. + """ + # determine colors and labels for figure + colors = sns.color_palette("Set1", n_colors=len(mean_acc_dict)) + labels = ["Odif (building)", "UF (new)", "recruiting", "hybrid"] + + # plot and format figure + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + for i, key in enumerate(mean_acc_dict): + ax.plot(ns, mean_acc_dict[key], c=colors[i], label=labels[i]) + upper_bound = np.array(mean_acc_dict[key]) + 1.96 * np.array(std_acc_dict[key]) + lower_bound = np.array(mean_acc_dict[key]) - 1.96 * np.array(std_acc_dict[key]) + ax.fill_between( + ns, + upper_bound, + lower_bound, + where=upper_bound >= lower_bound, + facecolor=colors[i], + alpha=0.15, + interpolate=False, + ) + ax.set_title("MNIST Recruitment", fontsize=30) + ax.set_ylabel("Generalization Error (Task 5)", fontsize=28) + ax.set_xlabel("Number of Task 5 Samples", fontsize=30) + ax.tick_params(labelsize=28) + ax.set_xscale("log") + ax.set_xticks([100, 500, 10000]) + ax.get_xaxis().set_major_formatter(ScalarFormatter()) + ax.set_ylim(0.0, 0.2) + ax.set_yticks([0.0, 0.05, 0.10, 0.15]) + ax.legend(fontsize=12) + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + plt.tight_layout() + + +def recruitment_plot_mnist_between(mean_acc_dict, std_acc_dict, ns): + """ + Plot the results from the recruitment experiment for MNIST -> fashion-MNIST. + """ + # determine colors and labels for figure + colors = sns.color_palette("Set1", n_colors=len(mean_acc_dict)) + labels = ["Odif (building)", "UF (new)", "recruiting", "hybrid"] + + # plot and format figure + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + for i, key in enumerate(mean_acc_dict): + ax.plot(ns, mean_acc_dict[key], c=colors[i], label=labels[i]) + upper_bound = np.array(mean_acc_dict[key]) + 1.96 * np.array(std_acc_dict[key]) + lower_bound = np.array(mean_acc_dict[key]) - 1.96 * np.array(std_acc_dict[key]) + ax.fill_between( + ns, + upper_bound, + lower_bound, + where=upper_bound >= lower_bound, + facecolor=colors[i], + alpha=0.15, + interpolate=False, + ) + ax.set_title("MNIST -> Fashion-MNIST Recruitment", fontsize=30) + ax.set_ylabel("Generalization Error (Task 2)", fontsize=28) + ax.set_xlabel("Number of Task 2 Samples", fontsize=30) + ax.tick_params(labelsize=28) + ax.set_xscale("log") + ax.set_xticks([100, 500, 5000, 50000]) + ax.get_xaxis().set_major_formatter(ScalarFormatter()) + ax.set_ylim(0.10, 0.60) + ax.set_yticks([0.15, 0.25, 0.35, 0.45, 0.55]) + ax.legend(fontsize=12) + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + plt.tight_layout() diff --git a/docs/tutorials/functions/rotation_cifar_functions.py b/docs/experiments/functions/rotation_cifar_functions.py similarity index 67% rename from docs/tutorials/functions/rotation_cifar_functions.py rename to docs/experiments/functions/rotation_cifar_functions.py index f819efcaa1..e61a148cd8 100644 --- a/docs/tutorials/functions/rotation_cifar_functions.py +++ b/docs/experiments/functions/rotation_cifar_functions.py @@ -11,8 +11,14 @@ import numpy as np import seaborn as sns -# Import the progressive learning packages -from proglearn.forest import LifelongClassificationForest +# Import the omnidirectional learning packages +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.transformers import ( + TreeClassificationTransformer, + NeuralClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter # Randomized selection of training and testing subsets def cross_val_data(data_x, data_y, total_cls=10): @@ -53,36 +59,25 @@ def cross_val_data(data_x, data_y, total_cls=10): # Runs the experiments -def LF_experiment( - angle, data_x, data_y, granularity, max_depth, reps=1, ntrees=29, acorn=None -): - - # Set random seed to acorn if acorn is specified +def odif_experiment(angle, data_x, data_y, reps=1, ntrees=29, acorn=None): if acorn is not None: np.random.seed(acorn) - errors = np.zeros( - 2 - ) # initializes array of errors that will be generated during each rep + errors = np.zeros(2) - for rep in range(reps): - # training and testing subsets are randomly selected by calling the cross_val_data function + for _ in range(reps): train_x1, train_y1, train_x2, train_y2, test_x, test_y = cross_val_data( data_x, data_y, total_cls=10 ) - # Change data angle for second task + # change data angle for second task tmp_data = train_x2.copy() - _tmp_ = np.zeros((32, 32, 3), dtype=int) total_data = tmp_data.shape[0] for i in range(total_data): tmp_ = image_aug(tmp_data[i], angle) - # 2D image is flattened into a 1D array as random forests can only take in flattened images as inputs tmp_data[i] = tmp_ - # .shape gives the dimensions of each numpy array - # .reshape gives a new shape to the numpy array without changing its data train_x1 = train_x1.reshape( ( train_x1.shape[0], @@ -98,35 +93,43 @@ def LF_experiment( test_x = test_x.reshape( (test_x.shape[0], test_x.shape[1] * test_x.shape[2] * test_x.shape[3]) ) - # number of trees (estimators) to use is passed as an argument because the default is 100 estimators - progressive_learner = LifelongClassificationForest( - n_estimators=ntrees, default_max_depth=max_depth - ) - # Add the original task - progressive_learner.add_task(X=train_x1, y=train_y1) + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": 30}} - # Predict and get errors for original task - llf_single_task = progressive_learner.predict(test_x, task_id=0) + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} - # Add the new transformer - progressive_learner.add_transformer(X=tmp_data, y=train_y2) + default_decider_class = SimpleArgmaxAverage - # Predict and get errors with the new transformer - llf_task1 = progressive_learner.predict(test_x, task_id=0) + progressive_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) + + progressive_learner.add_task( + X=train_x1, + y=train_y1, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={"classes": np.unique(train_y1)}, + ) + + progressive_learner.add_transformer( + X=tmp_data, y=train_y2, transformer_data_proportion=1, backward_task_ids=[0] + ) - errors[1] = errors[1] + ( - 1 - np.mean(llf_task1 == test_y) - ) # errors from transfer learning - errors[0] = errors[0] + ( - 1 - np.mean(llf_single_task == test_y) - ) # errors from original task + llf_task1 = progressive_learner.predict(test_x, task_id=0) + llf_single_task = progressive_learner.predict( + test_x, task_id=0, transformer_ids=[0] + ) - errors = ( - errors / reps - ) # errors are averaged across all reps ==> more reps means more accurate errors + errors[1] = errors[1] + (1 - np.mean(llf_task1 == test_y)) + errors[0] = errors[0] + (1 - np.mean(llf_single_task == test_y)) - # Average errors for original task and transfer learning are returned for the angle tested + errors = errors / reps return errors @@ -159,18 +162,27 @@ def plot_bte(bte, angles): fig, ax = plt.subplots(1, 1, figsize=(8, 8)) # Plot the data - ax.plot(angles, bte, c=c[0], label="L2F", linewidth=3) + ax.plot(angles, bte, c=c[0], label="Odif", linewidth=3) # Format and label the plot ax.set_xticks([0, 30, 60, 90, 120, 150, 180]) ax.tick_params(labelsize=20) + ax.set_yticks([1, 1.05]) + + log_lbl = np.round(np.log([1, 1.05]), 2) + labels = [item.get_text() for item in ax.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax.set_yticklabels(labels) + ax.set_xlabel("Angle of Rotation (Degrees)", fontsize=24) - ax.set_ylabel("Backward Transfer Efficiency", fontsize=24) + ax.set_ylabel("log Backward TE", fontsize=24) ax.set_title("Rotation Experiment", fontsize=24) right_side = ax.spines["right"] right_side.set_visible(False) top_side = ax.spines["top"] top_side.set_visible(False) plt.tight_layout() - # x.legend(fontsize = 24) plt.show() diff --git a/docs/tutorials/functions/sample_size_functions.py b/docs/experiments/functions/sample_size_functions.py similarity index 100% rename from docs/tutorials/functions/sample_size_functions.py rename to docs/experiments/functions/sample_size_functions.py diff --git a/docs/experiments/functions/spiral_exp_functions.py b/docs/experiments/functions/spiral_exp_functions.py new file mode 100644 index 0000000000..cd13bfbbcb --- /dev/null +++ b/docs/experiments/functions/spiral_exp_functions.py @@ -0,0 +1,356 @@ +import random +import tensorflow as tf +import numpy as np +import pickle +import seaborn as sns +import matplotlib.pyplot as plt +from joblib import Parallel, delayed +from math import log2, ceil +from proglearn.forest import LifelongClassificationForest +from proglearn.sims import generate_spirals + + +def plot_spirals(spiral1, y_spiral1, num_spirals1, spiral2, y_spiral2, num_spirals2): + colors = sns.color_palette("Dark2", n_colors=5) + + fig, ax = plt.subplots(1, 2, figsize=(16, 8)) + + clr = [colors[i] for i in y_spiral1] + ax[0].scatter(spiral1[:, 0], spiral1[:, 1], c=clr, s=50) + ax[0].set_xticks([]) + ax[0].set_yticks([]) + ax[0].set_title(str(num_spirals1) + " spirals", fontsize=30) + ax[0].axis("off") + + clr = [colors[i] for i in y_spiral2] + ax[1].scatter(spiral2[:, 0], spiral2[:, 1], c=clr, s=50) + ax[1].set_xticks([]) + ax[1].set_yticks([]) + ax[1].set_title(str(num_spirals2) + " spirals", fontsize=30) + ax[1].axis("off") + + # plt.tight_layout() + + +def experiment( + n_task1, n_task2, n_test=1000, n_trees=10, max_depth=None, random_state=None +): + + """ + A function to do progressive experiment between two tasks + where the task data is generated using Gaussian parity. + + Parameters + ---------- + n_task1 : int + Total number of train sample for task 1. + + n_task2 : int + Total number of train dsample for task 2 + + n_test : int, optional (default=1000) + Number of test sample for each task. + + n_trees : int, optional (default=10) + Number of total trees to train for each task. + + max_depth : int, optional (default=None) + Maximum allowable depth for each tree. + + random_state : int, RandomState instance, default=None + Determines random number generation for dataset creation. Pass an int + for reproducible output across multiple function calls. + + + Returns + ------- + errors : array of shape [6] + Elements of the array is organized as single task error task1, + multitask error task1, single task error task2, + multitask error task2, naive UF error task1, + naive UF task2. + """ + + if n_task1 == 0 and n_task2 == 0: + raise ValueError("Wake up and provide samples to train!!!") + + if random_state != None: + np.random.seed(random_state) + + errors = np.zeros(6, dtype=float) + + progressive_learner = LifelongClassificationForest(default_n_estimators=n_trees) + uf1 = LifelongClassificationForest(default_n_estimators=n_trees) + naive_uf = LifelongClassificationForest(default_n_estimators=n_trees) + uf2 = LifelongClassificationForest(default_n_estimators=n_trees) + + # source data + X_task1, y_task1 = generate_spirals(n_task1, 3, noise=0.8) + test_task1, test_label_task1 = generate_spirals(n_test, 3, noise=0.8) + + # target data + X_task2, y_task2 = generate_spirals(n_task2, 5, noise=0.4) + test_task2, test_label_task2 = generate_spirals(n_test, 5, noise=0.4) + + if n_task1 == 0: + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=n_trees) + + errors[0] = 0.5 + errors[1] = 0.5 + + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=0) + + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + + errors[4] = 0.5 + errors[5] = 1 - np.mean(uf_task2 == test_label_task2) + elif n_task2 == 0: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + uf1.add_task(X_task1, y_task1, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + + errors[2] = 0.5 + errors[3] = 0.5 + + errors[4] = 1 - np.mean(uf_task1 == test_label_task1) + errors[5] = 0.5 + else: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + + uf1.add_task(X_task1, y_task1, n_estimators=2 * n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=2 * n_trees) + + naive_uf_train_x = np.concatenate((X_task1, X_task2), axis=0) + naive_uf_train_y = np.concatenate((y_task1, y_task2), axis=0) + naive_uf.add_task(naive_uf_train_x, naive_uf_train_y, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=1) + naive_uf_task1 = naive_uf.predict(test_task1, task_id=0) + naive_uf_task2 = naive_uf.predict(test_task2, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + errors[4] = 1 - np.mean(naive_uf_task1 == test_label_task1) + errors[5] = 1 - np.mean(naive_uf_task2 == test_label_task2) + + return errors + + +def run(n_spiral3, n_spiral5, mc_rep, n_test, n_trees): + mean_error = np.zeros((6, len(n_spiral3) + len(n_spiral5))) + std_error = np.zeros((6, len(n_spiral3) + len(n_spiral5))) + + mean_te = np.zeros((4, len(n_spiral3) + len(n_spiral5))) + std_te = np.zeros((4, len(n_spiral3) + len(n_spiral5))) + + for i, n1 in enumerate(n_spiral3): + # print('starting to compute %s for 3 spirals\n'%n1) + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)(n1, 0, max_depth=ceil(log2(n1))) + for _ in range(mc_rep) + ) + ) + mean_error[:, i] = np.mean(error, axis=0) + std_error[:, i] = np.std(error, ddof=1, axis=0) + mean_te[0, i] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + + if n1 == n_spiral3[-1]: + for j, n2 in enumerate(n_spiral5): + # print('starting to compute %s for 5 spirals\n'%n2) + + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)(n1, n2, max_depth=ceil(log2(750))) + for _ in range(mc_rep) + ) + ) + mean_error[:, i + j + 1] = np.mean(error, axis=0) + std_error[:, i + j + 1] = np.std(error, ddof=1, axis=0) + mean_te[0, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + return mean_error, std_error, mean_te, std_te + + +def plot_results(n_spiral3, n_spiral5, mean_error, std_error, mean_te, std_te): + n1s = n_spiral3 + n2s = n_spiral5 + + ns = np.concatenate((n1s, n2s + n1s[-1])) + ls = ["-", "--"] + algorithms = [ + "3 spirals Forest", + "5 spirals Forest", + "Omnidirectional Forest (Odif)", + "Random Forest (RF)", + ] + + TASK1 = "3 spirals" + TASK2 = "5 spirals" + + fontsize = 30 + labelsize = 28 + + colors = sns.color_palette("Set1", n_colors=5) + + fig = plt.figure(constrained_layout=True, figsize=(21, 14)) + gs = fig.add_gridspec(14, 21) + ax1 = fig.add_subplot(gs[7:, :6]) + ax1.plot( + ns, + mean_error[1], + label=algorithms[2], + c=colors[0], + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + ax1.plot( + ns, + mean_error[4], + label=algorithms[3], + c="g", + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK1), fontsize=fontsize) + ax1.legend(loc="upper right", fontsize=16, frameon=False) + # ax1.set_ylim(0.09, 0.21) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yticks([0.25, 0.35, 0.45, 0.55]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + ax1.set_title("3 spirals", fontsize=30) + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(200, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ###################################### + + ax1 = fig.add_subplot(gs[7:, 7:13]) + + ax1.plot(ns[len(n1s) :], mean_error[3, len(n1s) :], c=colors[0], lw=3) + ax1.plot(ns[len(n1s) :], mean_error[5, len(n1s) :], c="g", lw=3) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK2), fontsize=fontsize) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yticks([0.2, 0.5, 0.8]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(200, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ax1.set_title("5 spirals", fontsize=30) + + ##################################### + + algorithms = ["Odif BTE", "Odif FTE", "RF BTE", "RF FTE"] + + ax1 = fig.add_subplot(gs[7:, 14:]) + + ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[1, len(n1s) :], + label=algorithms[1], + c=colors[0], + ls=ls[1], + lw=3, + ) + ax1.plot(ns, mean_te[2], label=algorithms[2], c="g", ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[3, len(n1s) :], + label=algorithms[3], + c="g", + ls=ls[1], + lw=3, + ) + + ax1.set_ylabel( + "log Forward/Backward \n Transfer Efficiency (FTE/BTE)", fontsize=fontsize + ) + ax1.legend(loc="upper left", fontsize=20, frameon=False) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yticks([0.4, 0.6, 0.8, 1, 1.2]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + ax1.hlines(1, 50, 1500, colors="gray", linestyles="dashed", linewidth=1.5) + + log_lbl = np.round(np.log([0.4, 0.6, 0.8, 1, 1.2]), 2) + labels = [item.get_text() for item in ax1.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax1.set_yticklabels(labels) + + ax1.text(200, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + colors = sns.color_palette("Dark2", n_colors=5) + + X, Y = generate_spirals(750, 3, noise=0.8) + Z, W = generate_spirals(750, 5, noise=0.4) + + ax = fig.add_subplot(gs[:6, 4:10]) + clr = [colors[i] for i in Y] + ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("3 spirals", fontsize=30) + + # plt.tight_layout() + ax.axis("off") + + colors = sns.color_palette("Dark2", n_colors=5) + + ax = fig.add_subplot(gs[:6, 11:16]) + clr = [colors[i] for i in W] + ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("5 spirals", fontsize=30) + ax.axis("off") + + # plt.savefig('plots/spiral_plot.pdf') diff --git a/docs/experiments/functions/spoken_digit_functions.py b/docs/experiments/functions/spoken_digit_functions.py new file mode 100644 index 0000000000..0142ee5c0c --- /dev/null +++ b/docs/experiments/functions/spoken_digit_functions.py @@ -0,0 +1,442 @@ +import os + +import IPython.display as ipd +import cv2 +from tensorflow import keras +import librosa +import librosa.display +import matplotlib.pyplot as plt +import numpy as np +import seaborn as sns +from tensorflow.keras import layers +from tensorflow.keras.callbacks import EarlyStopping +from tensorflow.keras.optimizers import Adam +from sklearn.model_selection import train_test_split + +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.transformers import ( + NeuralClassificationTransformer, + TreeClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter + +from tensorflow.keras.backend import clear_session # To avoid OOM error + + +def load_spoken_digit(path_recordings): + file = os.listdir(path_recordings) + + audio_data = [] # audio data + x_spec = [] # STFT spectrogram + x_spec_mini = [] # resized image, 28*28 + y_number = [] # label of number + y_speaker = [] # label of speaker + + for i in file: + x, sr = librosa.load(path_recordings + i, sr=8000) + x_stft = librosa.stft(x, n_fft=128) # Extract STFT + x_stft_db = librosa.amplitude_to_db( + abs(x_stft) + ) # Convert an amplitude spectrogram to dB-scaled spectrogram + x_stft_db_mini = cv2.resize(x_stft_db, (28, 28)) # Resize into 28 by 28 + y_n = i[0] # number + y_s = i[2] # first letter of speaker's name + + audio_data.append(x) + x_spec.append(x_stft_db) + x_spec_mini.append(x_stft_db_mini) + y_number.append(y_n) + y_speaker.append(y_s) + + x_spec_mini = np.array(x_spec_mini) + y_number = np.array(y_number).astype(int) + y_speaker = np.array(y_speaker) + + return audio_data, x_spec_mini, y_number, y_speaker + + +def play_audio(num, audio_data, y_number, y_speaker): + print( + "This is number", + y_number[num], + "spoken by speaker", + y_speaker[num].upper(), + "\nDuration:", + audio_data[num].shape[0], + "samples in", + audio_data[num].shape[0] / 8000, + "seconds", + ) + ipd.Audio(audio_data[num], rate=8000) + + +def display_spectrogram(x_spec_mini, y_number, y_speaker, num): + label_speaker = ["g", "j", "l", "n", "t", "y"] # first letter of speaker's name + fig, axes = plt.subplots( + nrows=6, ncols=8, sharex=True, sharey=True, figsize=(12, 9) + ) + for j, speaker in enumerate(label_speaker): + opt = np.where((y_speaker == speaker) & (y_number == num))[0] + ch = np.random.choice( + opt, 8, replace=False + ) # randomly choose 8 different samples from the speaker to display + + for i in range(8): + axes[j, i].imshow(x_spec_mini[ch[i]], cmap="hot", interpolation="nearest") + axes[j, i].axis("off") + if i == 0: + axes[j, i].text( + -9, + 12, + "speaker " + speaker.upper(), + size=14, + va="center", + rotation="vertical", + ) + else: + continue + + plt.subplots_adjust( + top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.05, wspace=0.05 + ) + plt.suptitle( + "Short-Time Fourier Transform Spectrogram of Number " + str(num), fontsize=18 + ) + + +def single_experiment(x, y, y_speaker, ntrees=10, model="odif", shuffle=False): + num_tasks = 6 + num_points_per_task = 3000 / num_tasks + speakers = ["g", "j", "l", "n", "t", "y"] + single_task_accuracies = np.zeros(num_tasks, dtype=float) + accuracies = np.zeros(27, dtype=float) + + if model == "odin": + x_all = x + y_all = y + + clear_session() # clear GPU memory before each run, to avoid OOM error + + default_transformer_class = NeuralClassificationTransformer + + network = keras.Sequential() + network.add( + layers.Conv2D( + filters=16, + kernel_size=(3, 3), + activation="relu", + input_shape=np.shape(x_all)[1:], + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=32, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=64, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=128, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + network.add(layers.BatchNormalization()) + network.add( + layers.Conv2D( + filters=254, + kernel_size=(3, 3), + strides=2, + padding="same", + activation="relu", + ) + ) + + network.add(layers.Flatten()) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(2000, activation="relu")) + network.add(layers.BatchNormalization()) + network.add(layers.Dense(units=10, activation="softmax")) + + default_transformer_kwargs = { + "network": network, + "euclidean_layer_idx": -2, + "loss": "categorical_crossentropy", + "optimizer": Adam(3e-4), + "fit_kwargs": { + "epochs": 100, + "callbacks": [EarlyStopping(patience=5, monitor="val_loss")], + "verbose": False, + "validation_split": 0.33, + "batch_size": 32, + }, + } + default_voter_class = KNNClassificationVoter + default_voter_kwargs = {"k": int(np.log2(num_points_per_task))} + default_decider_class = SimpleArgmaxAverage + + elif model == "odif": + x_all = x.reshape(3000, -1) + y_all = y + + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": 30}} + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} + default_decider_class = SimpleArgmaxAverage + + if shuffle: + np.random.shuffle(speakers) + else: + pass + + progressive_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + ) + + train_x_task, test_x_task, train_y_task, test_y_task = ( + [[], [], [], [], [], []], + [[], [], [], [], [], []], + [[], [], [], [], [], []], + [[], [], [], [], [], []], + ) + + for j, task0_speaker in enumerate(speakers): + index = np.where(y_speaker == task0_speaker) + x_task0 = x_all[index] + y_task0 = y_all[index] + ( + train_x_task[j], + test_x_task[j], + train_y_task[j], + test_y_task[j], + ) = train_test_split(x_task0, y_task0, test_size=0.45) + + progressive_learner.add_task( + X=train_x_task[j], + y=train_y_task[j], + task_id=j, + num_transformers=1 if model == "odin" else ntrees, + transformer_voter_decider_split=[0.67, 0.33, 0], + decider_kwargs={"classes": np.unique(train_y_task[j])}, + ) + odi_predictions = progressive_learner.predict( + X=test_x_task[j], transformer_ids=[j], task_id=j + ) + accuracies[j] = np.mean(odi_predictions == test_y_task[j]) + + for k, contribute_speaker in enumerate(speakers): + if k > j: + pass + else: + odi_predictions = progressive_learner.predict(test_x_task[k], task_id=k) + + accuracies[6 + k + (j * (j + 1)) // 2] = np.mean( + odi_predictions == test_y_task[k] + ) + + return accuracies + + +def calculate_results(accuracy_all): + num_tasks = 6 + err = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + err[i].append(1 - accuracy_all[6 + ((j + i) * (j + i + 1)) // 2 + i]) + + bte = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + bte[i].append(err[i][0] / err[i][j]) + + fte = np.zeros(6, dtype=float) + for i in range(num_tasks): + fte[i] = (1 - accuracy_all[i]) / err[i][0] + + te = [[] for _ in range(num_tasks)] + for i in range(num_tasks): + for j in range(num_tasks - i): + te[i].append((1 - accuracy_all[i]) / err[i][j]) + + return err, bte, fte, te + + +def plot_results(acc, bte, fte, te, model): + num_tasks = 6 + sns.set() + if model == "odif": + clr = "#e41a1c" + elif model == "odin": + clr = "#377eb8" + fontsize = 22 + ticksize = 20 + + fig, ax = plt.subplots(2, 2, figsize=(16, 11.5)) + ax[0][0].set_yscale("log") + ax[0][0].plot( + np.arange(1, num_tasks + 1), + fte, + c=clr, + marker=".", + markersize=14, + linewidth=3, + ) + ax[0][0].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[0][0].tick_params(labelsize=ticksize, labelleft="off") + ax[0][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][0].set_ylabel("log Forward TE", fontsize=fontsize) + ylims = ax[0][0].get_ylim() + yticks = [ylims[0], (ylims[0] + ylims[1]) / 2, ylims[1]] + ax[0][0].set_yticks(yticks) + ax[0][0].minorticks_off() + log_lbl = np.round(np.log(yticks), 2) + labels = [item.get_text() for item in ax[0][0].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[0][0].set_yticklabels(labels) + + ax[0][1].set_yscale("log") + for i in range(num_tasks): + et = np.asarray(bte[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[0][1].plot(ns, et, c=clr, linewidth=2.6) + + ax[0][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0][1].set_ylabel("log Backward TE", fontsize=fontsize) + ax[0][1].tick_params(labelsize=ticksize, labelleft="off") + ax[0][1].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ylims = ax[0][1].get_ylim() + yticks = [ylims[0], (ylims[0] + ylims[1]) / 2, ylims[1]] + ax[0][1].set_yticks(yticks) + ax[0][1].minorticks_off() + log_lbl = np.round(np.log(yticks), 2) + labels = [item.get_text() for item in ax[0][1].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[0][1].set_yticklabels(labels) + + ax[1][0].set_yscale("log") + for i in range(num_tasks): + et = np.asarray(te[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1][0].plot(ns, et, c=clr, linewidth=2.6) + + ax[1][0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][0].set_ylabel("log Transfer Efficiency", fontsize=fontsize) + ax[1][0].tick_params(labelsize=ticksize, labelleft="off") + ax[1][0].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ylims = ax[1][0].get_ylim() + yticks = [ylims[0], (ylims[0] + ylims[1]) / 2, ylims[1]] + ax[1][0].set_yticks(yticks) + ax[1][0].minorticks_off() + log_lbl = np.round(np.log(yticks), 2) + labels = [item.get_text() for item in ax[1][0].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[1][0].set_yticklabels(labels) + + for i in range(num_tasks): + et = 1 - np.asarray(acc[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1][1].plot(ns, et, c=clr, linewidth=2.6) + + ax[1][1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1][1].set_ylabel("Accuracy", fontsize=fontsize) + ax[1][1].tick_params(labelsize=ticksize, labelleft="off") + ylims = ax[1][1].get_ylim() + yticks = [ylims[0], (ylims[0] + ylims[1]) / 2, ylims[1]] + ax[1][1].set_yticks(yticks) + ax[1][1].minorticks_off() + log_lbl = np.round(yticks, 2) + labels = [item.get_text() for item in ax[1][1].get_yticklabels()] + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + ax[1][1].set_yticklabels(labels) + + +def plot_paper_figure(bte, fte): + sns.set_context("talk") + num_tasks = 6 + + clr = ["#e41a1c", "#a65628", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#CCCC00"] + fontsize = 22 + ticksize = 20 + + fig, ax = plt.subplots(1, 2, figsize=(16, 8)) + ax[0].plot( + np.arange(1, num_tasks + 1), + fte, + c="red", + marker=".", + markersize=14, + linewidth=3, + ) + ax[0].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[0].tick_params(labelsize=ticksize) + ax[0].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[0].set_ylabel("log Forward TE", fontsize=fontsize) + ax[0].set_yticks([1, 1.25, 1.5]) + + log_lbl = np.round(np.log([1, 1.25, 1.5]), 2) + labels = [item.get_text() for item in ax[0].get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax[0].set_yticklabels(labels) + + right_side = ax[0].spines["right"] + right_side.set_visible(False) + top_side = ax[0].spines["top"] + top_side.set_visible(False) + + for i in range(num_tasks): + et = np.asarray(bte[i]) + ns = np.arange(i + 1, num_tasks + 1) + ax[1].plot(ns, et, c="red", linewidth=2.6) + + ax[1].set_xlabel("Number of tasks seen", fontsize=fontsize) + ax[1].set_ylabel("log Backward TE", fontsize=fontsize) + ax[1].tick_params(labelsize=ticksize) + ax[1].hlines(1, 1, num_tasks, colors="grey", linestyles="dashed", linewidth=1.5) + ax[1].set_yticks([1, 1.35, 1.7]) + + log_lbl = np.round(np.log([1, 1.35, 1.7]), 2) + labels = [item.get_text() for item in ax[1].get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax[1].set_yticklabels(labels) + + right_side = ax[1].spines["right"] + right_side.set_visible(False) + top_side = ax[1].spines["top"] + top_side.set_visible(False) + + plt.savefig("language.pdf") diff --git a/docs/experiments/functions/xor_rxor_functions.py b/docs/experiments/functions/xor_rxor_functions.py new file mode 100644 index 0000000000..2766a660cb --- /dev/null +++ b/docs/experiments/functions/xor_rxor_functions.py @@ -0,0 +1,527 @@ +import numpy as np +import random + +from math import log2, ceil + +import seaborn as sns +import matplotlib.pyplot as plt +from matplotlib.ticker import ScalarFormatter + +from proglearn.forest import LifelongClassificationForest, UncertaintyForest +from proglearn.sims import * +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.transformers import ( + TreeClassificationTransformer, + NeuralClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter + +from joblib import Parallel, delayed + + +def get_colors(colors, inds): + c = [colors[i] for i in inds] + return c + + +def plot_xor_rxor(data, labels, title): + colors = sns.color_palette("Dark2", n_colors=2) + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title(title, fontsize=30) + # plt.tight_layout() + ax.axis("off") + plt.show() + + +def run(mc_rep, n_test, n_trees, n_xor, n_rxor, mean_error, std_error, mean_te, std_te): + for i, n1 in enumerate(n_xor): + # print('starting to compute %s xor\n'%n1) + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)( + n1, 0, task2_angle=np.pi / 4, max_depth=ceil(log2(n1)) + ) + for _ in range(mc_rep) + ) + ) + mean_error[:, i] = np.mean(error, axis=0) + std_error[:, i] = np.std(error, ddof=1, axis=0) + mean_te[0, i] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + + if n1 == n_xor[-1]: + for j, n2 in enumerate(n_rxor): + # print('starting to compute %s rxor\n'%n2) + + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)( + n1, n2, task2_angle=np.pi / 4, max_depth=ceil(log2(750)) + ) + for _ in range(mc_rep) + ) + ) + mean_error[:, i + j + 1] = np.mean(error, axis=0) + std_error[:, i + j + 1] = np.std(error, ddof=1, axis=0) + mean_te[0, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + + return mean_error, std_error, mean_te, std_te + + +def experiment( + n_task1, + n_task2, + n_test=1000, + task1_angle=0, + task2_angle=np.pi / 2, + n_trees=10, + max_depth=None, + random_state=None, +): + + """ + A function to do Odif experiment between two tasks + where the task data is generated using Gaussian parity. + + Parameters + ---------- + n_task1 : int + Total number of train sample for task 1. + + n_task2 : int + Total number of train dsample for task 2 + + n_test : int, optional (default=1000) + Number of test sample for each task. + + task1_angle : float, optional (default=0) + Angle in radian for task 1. + + task2_angle : float, optional (default=numpy.pi/2) + Angle in radian for task 2. + + n_trees : int, optional (default=10) + Number of total trees to train for each task. + + max_depth : int, optional (default=None) + Maximum allowable depth for each tree. + + random_state : int, RandomState instance, default=None + Determines random number generation for dataset creation. Pass an int + for reproducible output across multiple function calls. + + + Returns + ------- + errors : array of shape [6] + Elements of the array is organized as single task error task1, + multitask error task1, single task error task2, + multitask error task2, naive UF error task1, + naive UF task2. + """ + + if n_task1 == 0 and n_task2 == 0: + raise ValueError("Wake up and provide samples to train!!!") + + if random_state != None: + np.random.seed(random_state) + + errors = np.zeros(6, dtype=float) + + progressive_learner = LifelongClassificationForest(default_n_estimators=n_trees) + uf1 = LifelongClassificationForest(default_n_estimators=n_trees) + naive_uf = LifelongClassificationForest(default_n_estimators=n_trees) + uf2 = LifelongClassificationForest(default_n_estimators=n_trees) + + # source data + X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) + test_task1, test_label_task1 = generate_gaussian_parity( + n_test, angle_params=task1_angle + ) + + # target data + X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) + test_task2, test_label_task2 = generate_gaussian_parity( + n_test, angle_params=task2_angle + ) + + if n_task1 == 0: + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=n_trees) + + errors[0] = 0.5 + errors[1] = 0.5 + + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=0) + + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + + errors[4] = 0.5 + errors[5] = 1 - np.mean(uf_task2 == test_label_task2) + elif n_task2 == 0: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + uf1.add_task(X_task1, y_task1, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + + errors[2] = 0.5 + errors[3] = 0.5 + + errors[4] = 1 - np.mean(uf_task1 == test_label_task1) + errors[5] = 0.5 + else: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + + uf1.add_task(X_task1, y_task1, n_estimators=2 * n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=2 * n_trees) + + naive_uf_train_x = np.concatenate((X_task1, X_task2), axis=0) + naive_uf_train_y = np.concatenate((y_task1, y_task2), axis=0) + naive_uf.add_task(naive_uf_train_x, naive_uf_train_y, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=1) + naive_uf_task1 = naive_uf.predict(test_task1, task_id=0) + naive_uf_task2 = naive_uf.predict(test_task2, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + errors[4] = 1 - np.mean(naive_uf_task1 == test_label_task1) + errors[5] = 1 - np.mean(naive_uf_task2 == test_label_task2) + + return errors + + +def plot_error_and_eff(n1s, n2s, mean_error, mean_te, TASK1, TASK2): + """ + A function that plots the generalization error and + transfer efficiency for the xor-nxor-rxor experiment + + Parameters + ---------- + n1s : range(int) + Array of sample sizes tested for the first learner. + + n2s : range(int) + Array of sample sizes tested for the second learner. + + mean_error : np.array + Array of generalization errors. + + mean_te : np.array + Array of transfer efficiencies. + + task1 : str + String of the name of the first task. + + task2 : str + String of the name of the second task. + """ + + ns = np.concatenate((n1s, n2s + n1s[-1])) + ls = ["-", "--"] + + ################################ + # Plots of Generalization Error + ################################ + algorithms = ["XOR Forest", "RXOR Forest", "Odif ", "RF"] + + fontsize = 30 + labelsize = 28 + + colors = sns.color_palette("Set1", n_colors=2) + + fig = plt.figure(constrained_layout=True, figsize=(21, 14)) + gs = fig.add_gridspec(14, 21) + ax1 = fig.add_subplot(gs[7:, :6]) + ax1.plot( + ns, + mean_error[1], + label=algorithms[2], + c=colors[0], + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + ax1.plot( + ns, + mean_error[4], + label=algorithms[3], + c="g", + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK1), fontsize=fontsize) + ax1.legend(loc="upper left", fontsize=20, frameon=False) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yscale("log") + ax1.yaxis.set_major_formatter(ScalarFormatter()) + ax1.set_yticks([0.1, 0.3, 0.5]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + ax1.set_title("XOR", fontsize=30) + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ############## + + algorithms = ["XOR Forest", "RXOR Forest", "Odif", "RF"] + + ax1 = fig.add_subplot(gs[7:, 7:13]) + + ax1.plot( + ns[len(n1s) :], + mean_error[3, len(n1s) :], + label=algorithms[2], + c=colors[0], + lw=3, + ) + ax1.plot( + ns[len(n1s) :], mean_error[5, len(n1s) :], label=algorithms[3], c="g", lw=3 + ) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK2), fontsize=fontsize) + ax1.legend(loc="upper left", fontsize=20, frameon=False) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yscale("log") + ax1.yaxis.set_major_formatter(ScalarFormatter()) + ax1.set_yticks([0.1, 0.5, 0.9]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ax1.set_title("RXOR", fontsize=30) + + ################################ + # Plots of Transfer Efficiency + ################################ + + algorithms = ["Odif BTE", "Odif FTE", "RF BTE", "RF FTE"] + + ax1 = fig.add_subplot(gs[7:, 14:]) + + ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[1, len(n1s) :], + label=algorithms[1], + c=colors[0], + ls=ls[1], + lw=3, + ) + ax1.plot(ns, mean_te[2], label=algorithms[2], c="g", ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[3, len(n1s) :], + label=algorithms[3], + c="g", + ls=ls[1], + lw=3, + ) + + ax1.set_ylabel( + "log Forward/Backward \n Transfer Efficiency (FTE/BTE)", fontsize=fontsize + ) + ax1.legend(loc="upper right", fontsize=20, frameon=False) + ax1.set_yticks([0.2, 0.6, 1, 1.2]) + ax1.set_ylim(0.2, 1.2) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + log_lbl = np.round(np.log([0.2, 0.6, 1, 1.2]), 2) + labels = [item.get_text() for item in ax1.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax1.set_yticklabels(labels) + ax1.tick_params(labelsize=labelsize) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + ax1.hlines(1, 50, 1500, colors="gray", linestyles="dashed", linewidth=1.5) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + colors = sns.color_palette("Dark2", n_colors=2) + + X, Y = generate_gaussian_parity(750, angle_params=0) + Z, W = generate_gaussian_parity(750, angle_params=np.pi / 4) + + ax = fig.add_subplot(gs[:6, 4:10]) + clr = [colors[i] for i in Y] + ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("Gaussian XOR", fontsize=30) + + ax.axis("off") + + colors = sns.color_palette("Dark2", n_colors=2) + + ax = fig.add_subplot(gs[:6, 11:16]) + clr = [colors[i] for i in W] + ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("Gaussian R-XOR", fontsize=30) + ax.axis("off") + + +def bte_v_angle(angle_sweep, task1_sample, task2_sample, mc_rep): + mean_te = np.zeros(len(angle_sweep), dtype=float) + for ii, angle in enumerate(angle_sweep): + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)( + task1_sample, + task2_sample, + task2_angle=angle * np.pi / 180, + max_depth=ceil(log2(task1_sample)), + ) + for _ in range(mc_rep) + ) + ) + + mean_te[ii] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + return mean_te + + +def plot_bte_v_angle(mean_te): + angle_sweep = range(0, 90, 1) + + sns.set_context("talk") + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + ax.plot(angle_sweep, mean_te, linewidth=3, c="r") + ax.set_xticks([0, 45, 90]) + ax.set_xlabel("Angle of Rotation (Degrees)") + ax.set_ylabel("Backward Transfer Efficiency (XOR)") + ax.hlines(1, 0, 90, colors="gray", linestyles="dashed", linewidth=1.5) + + ax.set_yticks([0.9, 1, 1.1, 1.2]) + ax.set_ylim(0.89, 1.22) + log_lbl = np.round(np.log([0.9, 1, 1.1, 1.2]), 2) + labels = [item.get_text() for item in ax.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax.set_yticklabels(labels) + + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + + +def bte_v_nsamples(task2_sample_sweep, task1_samples, task2_angle, mc_rep): + mean_te = np.zeros((len(task1_samples), len(task2_sample_sweep)), dtype=float) + + for jj, task1_sample in enumerate(task1_samples): + for ii, sample_no in enumerate(task2_sample_sweep): + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)( + task1_sample, sample_no, task2_angle=task2_angle, max_depth=None + ) + for _ in range(mc_rep) + ) + ) + + mean_te[jj, ii] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + + return mean_te + + +import seaborn as sns +import matplotlib.pyplot as plt +from matplotlib.ticker import ScalarFormatter + + +def plot_bte_v_nsamples(mean_te): + task2_sample_sweep = (2 ** np.arange(np.log2(60), np.log2(5010) + 1, 0.25)).astype( + "int" + ) + + sns.set_context("talk") + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + ax.plot(task2_sample_sweep, mean_te[0], linewidth=3, c="r", label="100 XOR") + ax.plot( + task2_sample_sweep, mean_te[1], ls="--", linewidth=3, c="r", label="1000 XOR" + ) + ax.plot( + task2_sample_sweep, mean_te[2], ls=":", linewidth=3, c="r", label="5000 XOR" + ) + ax.hlines(1, 60, 5200, colors="gray", linestyles="dashed", linewidth=1.5) + ax.set_xscale("log") + ax.set_xticks([]) + # ax.set_yticks([0.87,0.9,0.93]) + ax.tick_params(labelsize=26) + ax.get_xaxis().set_major_formatter(ScalarFormatter()) + ax.text(50, np.mean(ax.get_ylim()) - 0.082, "50", fontsize=26) + ax.text(500, np.mean(ax.get_ylim()) - 0.082, "500", fontsize=26) + ax.text(5000, np.mean(ax.get_ylim()) - 0.082, "5000", fontsize=26) + + ax.text( + 50, + np.mean(ax.get_ylim()) - 0.09, + "Number of $25^\circ$-RXOR Training Samples", + fontsize=24, + ) + ax.set_ylabel("Backward Transfer Efficiency (XOR)", fontsize=24) + + ax.set_yticks([0.94, 1, 1.04, 1.08]) + ax.set_ylim(0.93, 1.08) + log_lbl = np.round(np.log([0.94, 1, 1.04, 1.08]), 2) + labels = [item.get_text() for item in ax.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax.set_yticklabels(labels) + + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) + + ax.legend(fontsize=20, frameon=False) diff --git a/docs/experiments/functions/xor_rxor_with_cpd_functions.py b/docs/experiments/functions/xor_rxor_with_cpd_functions.py new file mode 100644 index 0000000000..81ec28c7f8 --- /dev/null +++ b/docs/experiments/functions/xor_rxor_with_cpd_functions.py @@ -0,0 +1,208 @@ +import numpy as np +import random +import seaborn as sns +import matplotlib.pyplot as plt +import matplotlib + +from joblib import Parallel, delayed +from math import log2, ceil + +from proglearn.forest import LifelongClassificationForest, UncertaintyForest +from proglearn.sims import * +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.transformers import ( + TreeClassificationTransformer, + NeuralClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter +from pycpd import AffineRegistration + + +def get_colors(colors, inds): + c = [colors[i] for i in inds] + return c + + +def cpd_reg(template, target, max_iter=50): + registration = AffineRegistration(X=target, Y=template, max_iterations=max_iter) + deformed_template = registration.register(template) + + return deformed_template[0] + + +def plot_xor_rxor(data, labels, title): + colors = sns.color_palette("Dark2", n_colors=2) + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title(title, fontsize=30) + # plt.tight_layout() + ax.axis("off") + plt.show() + + +def experiment( + n_task1, + n_task2, + n_test=1000, + task1_angle=0, + task2_angle=np.pi / 2, + n_trees=10, + max_depth=None, + random_state=None, + register=False, +): + + """ + A function to do backwards transfer efficiency experiment + between two tasks. Task 1 is XOR. Task 2 is RXOR. + A registered Task 2 + + Parameters + ---------- + n_task1 : int + Total number of train sample for task 1. + + n_task2 : int + Total number of train dsample for task 2 + + n_test : int, optional (default=1000) + Number of test sample for each task. + + task1_angle : float, optional (default=0) + Angle in radian for task 1. + + task2_angle : float, optional (default=numpy.pi/2) + Angle in radian for task 2. + + n_trees : int, optional (default=10) + Number of total trees to train for each task. + + max_depth : int, optional (default=None) + Maximum allowable depth for each tree. + + random_state : int, RandomState instance, default=None + Determines random number generation for dataset creation. Pass an int + for reproducible output across multiple function calls. + + register: boolean, default=False + Register task2 to task1 before feeding to forest. + + Returns + ------- + errors : array of shape [6] + Elements of the array is organized as single task error task1, + multitask error task1, single task error task2, + multitask error task2, naive UF error task1, + naive UF task2. + """ + + if n_task1 == 0 and n_task2 == 0: + raise ValueError("Wake up and provide samples to train!!!") + + if random_state != None: + np.random.seed(random_state) + + errors = np.zeros(6, dtype=float) + + default_transformer_class = TreeClassificationTransformer + default_transformer_kwargs = {"kwargs": {"max_depth": max_depth}} + + default_voter_class = TreeClassificationVoter + default_voter_kwargs = {} + + default_decider_class = SimpleArgmaxAverage + default_decider_kwargs = {"classes": np.arange(2)} + progressive_learner = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + default_decider_kwargs=default_decider_kwargs, + ) + uf = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + default_decider_kwargs=default_decider_kwargs, + ) + naive_uf = ProgressiveLearner( + default_transformer_class=default_transformer_class, + default_transformer_kwargs=default_transformer_kwargs, + default_voter_class=default_voter_class, + default_voter_kwargs=default_voter_kwargs, + default_decider_class=default_decider_class, + default_decider_kwargs=default_decider_kwargs, + ) + + # source data + X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) + test_task1, test_label_task1 = generate_gaussian_parity( + n_test, angle_params=task1_angle + ) + + # target data + X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) + test_task2, test_label_task2 = generate_gaussian_parity( + n_test, angle_params=task2_angle + ) + + if register: + X_task2 = cpd_reg(X_task2.copy(), X_task1.copy()) + + progressive_learner.add_task(X_task1, y_task1, num_transformers=n_trees) + progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) + + uf.add_task(X_task1, y_task1, num_transformers=2 * n_trees) + uf.add_task(X_task2, y_task2, num_transformers=2 * n_trees) + + uf_task1 = uf.predict(test_task1, transformer_ids=[0], task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + + return errors + + +def bte_v_angle(angle_sweep, task1_sample, task2_sample, mc_rep, adaptation): + mean_te = np.zeros(len(angle_sweep), dtype=float) + for ii, angle in enumerate(angle_sweep): + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)( + task1_sample, + task2_sample, + task2_angle=angle * np.pi / 180, + max_depth=ceil(log2(task1_sample)), + register=adaptation, + ) + for _ in range(mc_rep) + ) + ) + + mean_te[ii] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + return mean_te + + +def plot_bte_v_angle(angle_sweep, mean_te1, mean_te2): + sns.set_context("talk") + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + task = ["R-XOR as Task 2", "A-XOR as Task 2"] + ax.plot(angle_sweep, mean_te1, linewidth=3, label=task[0]) + ax.plot(angle_sweep, mean_te2, linewidth=3, label=task[1]) + ax.set_xticks(range(0, 91, 10)) + ax.set_xlabel("Angle of Rotation (Degrees)") + ax.set_ylabel("Backward Transfer Efficiency (XOR)") + ax.hlines(1, 0, 90, colors="gray", linestyles="dashed", linewidth=1.5) + ax.legend(loc="upper center", fontsize=20, frameon=False) + + right_side = ax.spines["right"] + right_side.set_visible(False) + top_side = ax.spines["top"] + top_side.set_visible(False) diff --git a/docs/tutorials/functions/xor_rxor_with_icp_functions.py b/docs/experiments/functions/xor_rxor_with_icp_functions.py similarity index 100% rename from docs/tutorials/functions/xor_rxor_with_icp_functions.py rename to docs/experiments/functions/xor_rxor_with_icp_functions.py diff --git a/docs/experiments/functions/xor_xnor_functions.py b/docs/experiments/functions/xor_xnor_functions.py new file mode 100644 index 0000000000..168dbd9713 --- /dev/null +++ b/docs/experiments/functions/xor_xnor_functions.py @@ -0,0 +1,406 @@ +import numpy as np +import random + +from math import log2, ceil + +import seaborn as sns +import matplotlib.pyplot as plt +from matplotlib.ticker import ScalarFormatter +from proglearn.forest import LifelongClassificationForest, UncertaintyForest +from proglearn.sims import * +from proglearn.progressive_learner import ProgressiveLearner +from proglearn.deciders import SimpleArgmaxAverage +from proglearn.transformers import ( + TreeClassificationTransformer, + NeuralClassificationTransformer, +) +from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter + +from joblib import Parallel, delayed + + +def get_colors(colors, inds): + c = [colors[i] for i in inds] + return c + + +def plot_xor_xnor(data, labels, title): + colors = sns.color_palette("Dark2", n_colors=2) + fig, ax = plt.subplots(1, 1, figsize=(8, 8)) + ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title(title, fontsize=30) + plt.tight_layout() + ax.axis("off") + plt.show() + + +def run(mc_rep, n_test, n_trees, n_xor, n_xnor, mean_error, std_error, mean_te, std_te): + for i, n1 in enumerate(n_xor): + # print('starting to compute %s xor\n'%n1) + # run experiment in parallel + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)(n1, 0, max_depth=ceil(log2(n1))) + for _ in range(mc_rep) + ) + ) + # extract relevant data and store in arrays + mean_error[:, i] = np.mean(error, axis=0) + std_error[:, i] = np.std(error, ddof=1, axis=0) + mean_te[0, i] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + + # initialize learning on n-xor data + if n1 == n_xor[-1]: + for j, n2 in enumerate(n_xnor): + # print('starting to compute %s nxor\n'%n2) + # run experiment in parallel + error = np.array( + Parallel(n_jobs=-1, verbose=0)( + delayed(experiment)(n1, n2, max_depth=ceil(log2(750))) + for _ in range(mc_rep) + ) + ) + # extract relevant data and store in arrays + mean_error[:, i + j + 1] = np.mean(error, axis=0) + std_error[:, i + j + 1] = np.std(error, ddof=1, axis=0) + mean_te[0, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 1]) + mean_te[1, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 3]) + mean_te[2, i + j + 1] = np.mean(error[:, 0]) / np.mean(error[:, 4]) + mean_te[3, i + j + 1] = np.mean(error[:, 2]) / np.mean(error[:, 5]) + + return mean_error, std_error, mean_te, std_te + + +def experiment( + n_task1, + n_task2, + n_test=1000, + task1_angle=0, + task2_angle=np.pi / 2, + n_trees=10, + max_depth=None, + random_state=None, +): + + """ + A function to do Odif experiment between two tasks + where the task data is generated using Gaussian parity. + + Parameters + ---------- + n_task1 : int + Total number of train sample for task 1. + + n_task2 : int + Total number of train dsample for task 2 + + n_test : int, optional (default=1000) + Number of test sample for each task. + + task1_angle : float, optional (default=0) + Angle in radian for task 1. + + task2_angle : float, optional (default=numpy.pi/2) + Angle in radian for task 2. + + n_trees : int, optional (default=10) + Number of total trees to train for each task. + + max_depth : int, optional (default=None) + Maximum allowable depth for each tree. + + random_state : int, RandomState instance, default=None + Determines random number generation for dataset creation. Pass an int + for reproducible output across multiple function calls. + + + Returns + ------- + errors : array of shape [6] + Elements of the array is organized as single task error task1, + multitask error task1, single task error task2, + multitask error task2, naive UF error task1, + naive UF task2. + """ + + if n_task1 == 0 and n_task2 == 0: + raise ValueError("Wake up and provide samples to train!!!") + + if random_state != None: + np.random.seed(random_state) + + errors = np.zeros(6, dtype=float) + + progressive_learner = LifelongClassificationForest(default_n_estimators=n_trees) + uf1 = LifelongClassificationForest(default_n_estimators=n_trees) + naive_uf = LifelongClassificationForest(default_n_estimators=n_trees) + uf2 = LifelongClassificationForest(default_n_estimators=n_trees) + + # source data + X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) + test_task1, test_label_task1 = generate_gaussian_parity( + n_test, angle_params=task1_angle + ) + + # target data + X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) + test_task2, test_label_task2 = generate_gaussian_parity( + n_test, angle_params=task2_angle + ) + + if n_task1 == 0: + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=n_trees) + + errors[0] = 0.5 + errors[1] = 0.5 + + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=0) + + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + + errors[4] = 0.5 + errors[5] = 1 - np.mean(uf_task2 == test_label_task2) + elif n_task2 == 0: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + uf1.add_task(X_task1, y_task1, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + + errors[2] = 0.5 + errors[3] = 0.5 + + errors[4] = 1 - np.mean(uf_task1 == test_label_task1) + errors[5] = 0.5 + else: + progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) + progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) + + uf1.add_task(X_task1, y_task1, n_estimators=2 * n_trees) + uf2.add_task(X_task2, y_task2, n_estimators=2 * n_trees) + + naive_uf_train_x = np.concatenate((X_task1, X_task2), axis=0) + naive_uf_train_y = np.concatenate((y_task1, y_task2), axis=0) + naive_uf.add_task(naive_uf_train_x, naive_uf_train_y, n_estimators=n_trees) + + uf_task1 = uf1.predict(test_task1, task_id=0) + l2f_task1 = progressive_learner.predict(test_task1, task_id=0) + uf_task2 = uf2.predict(test_task2, task_id=0) + l2f_task2 = progressive_learner.predict(test_task2, task_id=1) + naive_uf_task1 = naive_uf.predict(test_task1, task_id=0) + naive_uf_task2 = naive_uf.predict(test_task2, task_id=0) + + errors[0] = 1 - np.mean(uf_task1 == test_label_task1) + errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) + errors[2] = 1 - np.mean(uf_task2 == test_label_task2) + errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) + errors[4] = 1 - np.mean(naive_uf_task1 == test_label_task1) + errors[5] = 1 - np.mean(naive_uf_task2 == test_label_task2) + + return errors + + +def plot_error_and_eff(n1s, n2s, mean_error, mean_te, TASK1, TASK2): + """ + A function that plots the generalization error and + transfer efficiency for the xor-nxor-rxor experiment + + Parameters + ---------- + n1s : range(int) + Array of sample sizes tested for the first learner. + + n2s : range(int) + Array of sample sizes tested for the second learner. + + mean_error : np.array + Array of generalization errors. + + mean_te : np.array + Array of transfer efficiencies. + + task1 : str + String of the name of the first task. + + task2 : str + String of the name of the second task. + """ + + ns = np.concatenate((n1s, n2s + n1s[-1])) + ls = ["-", "--"] + + ################################ + # Plots of Generalization Error + ################################ + algorithms = ["XOR Forest", "XNOR Forest", "Odif ", "RF"] + + fontsize = 30 + labelsize = 28 + + colors = sns.color_palette("Set1", n_colors=2) + + fig = plt.figure(constrained_layout=True, figsize=(21, 14)) + gs = fig.add_gridspec(14, 21) + ax1 = fig.add_subplot(gs[7:, :6]) + ax1.plot( + ns, + mean_error[1], + label=algorithms[2], + c=colors[0], + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + ax1.plot( + ns, + mean_error[4], + label=algorithms[3], + c="g", + ls=ls[np.sum(1 > 1).astype(int)], + lw=3, + ) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK1), fontsize=fontsize) + ax1.legend(loc="upper left", fontsize=20, frameon=False) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yscale("log") + ax1.yaxis.set_major_formatter(ScalarFormatter()) + ax1.set_yticks([0.1, 0.3, 0.5]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + ax1.set_title("XOR", fontsize=30) + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ############## + + algorithms = ["XOR Forest", "XNOR Forest", "Odif", "RF"] + + ax1 = fig.add_subplot(gs[7:, 7:13]) + + ax1.plot( + ns[len(n1s) :], + mean_error[3, len(n1s) :], + label=algorithms[2], + c=colors[0], + lw=3, + ) + ax1.plot( + ns[len(n1s) :], mean_error[5, len(n1s) :], label=algorithms[3], c="g", lw=3 + ) + + ax1.set_ylabel("Generalization Error (%s)" % (TASK2), fontsize=fontsize) + ax1.legend(loc="upper left", fontsize=20, frameon=False) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + ax1.tick_params(labelsize=labelsize) + ax1.set_yscale("log") + ax1.yaxis.set_major_formatter(ScalarFormatter()) + ax1.set_yticks([0.1, 0.5, 0.9]) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + ax1.set_title("XNOR", fontsize=30) + + ################################ + # Plots of Transfer Efficiency + ################################ + + algorithms = ["Odif BTE", "Odif FTE", "RF BTE", "RF FTE"] + + ax1 = fig.add_subplot(gs[7:, 14:]) + + ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[1, len(n1s) :], + label=algorithms[1], + c=colors[0], + ls=ls[1], + lw=3, + ) + ax1.plot(ns, mean_te[2], label=algorithms[2], c="g", ls=ls[0], lw=3) + ax1.plot( + ns[len(n1s) :], + mean_te[3, len(n1s) :], + label=algorithms[3], + c="g", + ls=ls[1], + lw=3, + ) + + ax1.set_ylabel( + "log Forward/Backward \n Transfer Efficiency (FTE/BTE)", fontsize=fontsize + ) + ax1.legend(loc="upper right", fontsize=20, frameon=False) + ax1.set_yticks([0.05, 1, 2.5]) + ax1.set_ylim(0.05, 2.52) + ax1.set_xlabel("Total Sample Size", fontsize=fontsize) + log_lbl = np.round(np.log([0.05, 1, 2.5]), 2) + labels = [item.get_text() for item in ax1.get_yticklabels()] + + for ii, _ in enumerate(labels): + labels[ii] = str(log_lbl[ii]) + + ax1.set_yticklabels(labels) + ax1.tick_params(labelsize=labelsize) + ax1.set_xticks([50, 750, 1500]) + ax1.axvline(x=750, c="gray", linewidth=1.5, linestyle="dashed") + right_side = ax1.spines["right"] + right_side.set_visible(False) + top_side = ax1.spines["top"] + top_side.set_visible(False) + ax1.hlines(1, 50, 1500, colors="gray", linestyles="dashed", linewidth=1.5) + + ax1.text(400, np.mean(ax1.get_ylim()), "%s" % (TASK1), fontsize=26) + ax1.text(900, np.mean(ax1.get_ylim()), "%s" % (TASK2), fontsize=26) + + colors = sns.color_palette("Dark2", n_colors=2) + + X, Y = generate_gaussian_parity(750, angle_params=0) + Z, W = generate_gaussian_parity(750, angle_params=np.pi / 2) + + ax = fig.add_subplot(gs[:6, 4:10]) + clr = [colors[i] for i in Y] + ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("Gaussian XOR", fontsize=30) + + ax.axis("off") + + colors = sns.color_palette("Dark2", n_colors=2) + + ax = fig.add_subplot(gs[:6, 11:16]) + clr = [colors[i] for i in W] + ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) + + ax.set_xticks([]) + ax.set_yticks([]) + ax.set_title("Gaussian XNOR", fontsize=30) + ax.axis("off") diff --git a/docs/experiments/label_shuffle_exp.ipynb b/docs/experiments/label_shuffle_exp.ipynb new file mode 100644 index 0000000000..79e12127d3 --- /dev/null +++ b/docs/experiments/label_shuffle_exp.ipynb @@ -0,0 +1,219 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Label Shuffle Experiment\n", + "\n", + "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", + "\n", + "Here, a representation ensembling algorithm based on decision forests (Omnidirectional Forest) demonstrate forward and backward knowledge transfer of tasks on the CIFAR100 dataset with the labels shuffled. The experiment reproduces the benchmarking adversarial experiment ran in the paper \"Omnidirectional Transfer for Quasilinear Lifelong Learning\" by Vogelstein, et al (2020). The following is a link to the aforementioned paper: https://arxiv.org/pdf/2004.12908.pdf \n", + "\n", + "### Import necessary packages and modules" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import keras\n", + "from joblib import Parallel, delayed\n", + "from itertools import product" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load CIFAR100 data \n", + "We load the CIFAR100 dataset from Keras, and store it in a variable. The training and test partitions are concatenated into one variable called `data_x`. The data is obtained from https://keras.io/api/datasets/cifar100/ .\n", + "\n", + "The label shuffle experiment randomly permutes the class labels within each task from task 2 to 10, rendering each of these tasks adversarial with regard to the first task. We show through this experiment that Odif are invariant to class lable shuffling, and both demonstrate transfer. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", + "data_x = np.concatenate([X_train, X_test])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define hyperparameters for the model and preprocess data\n", + "Running the cells below will define the hyperparameters the experimental setting \n", + "\n", + "`num_points_per_task`: The number of points per task \n", + "\n", + "`shifts`: The number of data ways to split the data into train and test" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "num_points_per_task = 500\n", + "\n", + "shifts = 2 \n", + "\n", + "num_slots = int(5000 // num_points_per_task)\n", + "slot_fold = range(int(5000 // num_points_per_task))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This cell will preprocess the data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Reshape the data \n", + "data_x = data_x.reshape((data_x.shape[0], data_x.shape[1] * data_x.shape[2] * data_x.shape[3]))\n", + "data_y = np.concatenate([y_train, y_test])\n", + "data_y = data_y[:, 0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Train the model and perform validation\n", + "\n", + "#### run_parallel_exp: \n", + "Wrapper method for the `label_shuffle_experiment` function which declares and trains the model, and performs validation with respect to the test data to compute the error of the model at a particular iteration\n", + "\n", + "`ntree`: Number of trees for Uncertainty Forest" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.label_shuffle_functions import run_parallel_exp\n", + "\n", + "n_trees=[10] # Number of trees in UF\n", + "\n", + "shift_fold = range(1,shifts,1) # Number of shifts\n", + "iterable = product(n_trees,shift_fold,slot_fold)\n", + "\n", + "df_list = Parallel(n_jobs=-1,verbose=0)(\n", + " delayed(run_parallel_exp)(\n", + " data_x, data_y, ntree, num_points_per_task, slot=slot, shift=shift\n", + " ) for ntree,shift,slot in iterable\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Function to calculate backward transfer efficiency\n", + "\n", + "The backward transfer efficiency of $f_n$ for task $t$ given $n$ samples is \n", + "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with new tasks to improve performance on previous tasks. \n", + "\n", + "#### calc_bte:\n", + "Function used to calculate bte across tasks, averaged across all shifts and folds" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.label_shuffle_functions import calc_bte\n", + "\n", + "btes = calc_bte(df_list, num_slots, shifts)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting the backward transfer efficiency\n", + "Run cell to generate plot of backward transfer efficiency of the Omnidirectional Classification Forest algorithm. We see that we achieve backwards transfer overall that increases as more tasks are seen.\n", + "\n", + "#### plot_bte:\n", + "Function used to plot bte across tasks" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from functions.label_shuffle_functions import plot_bte\n", + "\n", + "plot_bte(btes)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "77d3befdf72f5c1a0d6b4996fdd6befdfb972b784410fca14e27e6ae1841315c" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/experiments/random_class_exp.ipynb b/docs/experiments/random_class_exp.ipynb new file mode 100644 index 0000000000..6ba99da87a --- /dev/null +++ b/docs/experiments/random_class_exp.ipynb @@ -0,0 +1,221 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "# Import the packages for experiment\n", + "import warnings\n", + "\n", + "warnings.simplefilter(\"ignore\")\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "import random\n", + "import keras\n", + "\n", + "from itertools import product\n", + "from joblib import Parallel, delayed" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Random Classification Experiment\n", + "\n", + "This experiment will use images from the **CIFAR 100** database (https://www.cs.toronto.edu/~kriz/cifar.html) and showcase the classification efficiency of the omnidirectional algorithms in the **ProgLearn** project (https://github.com/neurodata/ProgLearn)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Omnidirectional Learning\n", + "\n", + "The **ProgLearn** project aims to improve program performance on sequentially learned tasks, proposing a lifelong learning approach.\n", + "\n", + "It contains two different algorithms: **Omnidirectional Forests** (**Odif**) and **Omnidirectional Network** (**Odin**). **Odif** uses Uncertainy Forest as transformers, while **Odin** uses deep networks. These two algorithms achieve both forward knowledge transfer and backward knowledge transfer, and this experiment is designed to cover the **Odif** model." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Choosing hyperparameters\n", + "\n", + "The hyperparameters here are used for determining how the experiment will run." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "### MAIN HYPERPARAMS ###\n", + "num_points_per_task = 500\n", + "shift_num = 6\n", + "task_num = 20\n", + "tree_num = 10\n", + "########################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Loading datasets\n", + "\n", + "The CIFAR 100 database contains 100 classes of 600 images, each separating into 500 training images and 100 testing images." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# load image datasets from the CIFAR-100 database\n", + "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", + "\n", + "# modify data shapes for specific model\n", + "data_x = np.concatenate([X_train, X_test])\n", + "data_x = data_x.reshape(\n", + " (data_x.shape[0], data_x.shape[1] * data_x.shape[2] * data_x.shape[3])\n", + ")\n", + "data_y = np.concatenate([y_train, y_test])\n", + "data_y = data_y[:, 0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Running experiment\n", + "\n", + "The following codes will run multiple experiments in parallel. For each experiment, we have task_num number of tasks. For each task, we randomly select 10 classes of the classes to train on. As we will observe below, each task increases Backwards Transfer Efficiency (BTE) with respect to Task 1 (Task 1 being the first task corresponding to 10 randomly selected classes)." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.random_class_functions import Odif_experiment\n", + "\n", + "slot_num = int(5000/num_points_per_task)\n", + "slot_fold = range(slot_num)\n", + "shift_fold = range(1, shift_num + 1, 1)\n", + "\n", + "# run the Odif model\n", + "n_trees = [tree_num]\n", + "iterable = product(n_trees, shift_fold, slot_fold)\n", + "df_results = Parallel(n_jobs=-1, verbose=0)(\n", + " delayed(Odif_experiment)(\n", + " data_x,\n", + " data_y,\n", + " ntree,\n", + " shift,\n", + " slot,\n", + " num_points_per_task,\n", + " acorn=12345\n", + " )\n", + " for ntree, shift, slot in iterable\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting backward transfer efficiency\n", + "\n", + "Backward transfer efficiency (BTE) measures the relative effect of future task data on the performance on a certain task.\n", + "\n", + "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from functions.random_class_functions import plot_bte\n", + " \n", + "plot_bte(bte, fontsize, ticksize)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "77d3befdf72f5c1a0d6b4996fdd6befdfb972b784410fca14e27e6ae1841315c" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/experiments/recruitment_across_datasets.ipynb b/docs/experiments/recruitment_across_datasets.ipynb new file mode 100644 index 0000000000..6ee83bf9b3 --- /dev/null +++ b/docs/experiments/recruitment_across_datasets.ipynb @@ -0,0 +1,659 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Recruitment Across Datasets\n", + "\n", + "In this notebook, we further examine the capability of ODIF to transfer across datasets, building upon the prior FTE/BTE experiments on MNIST and Fashion-MNIST. Using the datasets found in [this repo](https://github.com/neurodata/LLF_tidy_images), we perform a series of experiments to evaluate the transfer efficiency and recruitment capabilities of ODIF across five different datasets. The datasets and their content are as follows:\n", + "- Caltech-101: contains images of objects in 101 categories\n", + "- CIFAR-10: contains 32x32 color images of objects in 10 classes\n", + "- CIFAR-100: contains 32x32 color images of objects in 100 classes\n", + "- Food-101: contains images of dishes in 101 categories\n", + "- DTD: contains images of describable textures" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import functions.recruitacrossdatasets_functions as fn" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Note:** This notebook tutorial uses functions stored externally within `functions/recruitacrossdatasets_functions.py` to simplify presentation of code. These functions are imported above, along with other libraries." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## FTE/BTE Experiment\n", + "\n", + "We begin our examination of ODIF's transfer capabilities across datasets with the FTE/BTE experiment, which provides background metrics for what the expected performance should be. This helps inform the later recruitment experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Base Experiment\n", + "#### Import and Process Data\n", + "\n", + "Let's first import the data and perform some preprocessing so that it is in the correct format for feeding to ODIF. The following function does so for us:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data, classes = fn.import_data(normalize=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Hyperparameters\n", + "\n", + "We then define the hyperparameters to be used for the experiment:\n", + "- `model`: model to be used for FTE/BTE experiment\n", + "- `num_tasks`: number of tasks\n", + "- `num_trees`: nuber of trees\n", + "- `reps`: number of repetitions, fewer than actual figures to reduce running time" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "##### MAIN HYPERPARAMS ##################\n", + "model = \"odif\"\n", + "num_tasks = 5\n", + "num_trees = 10\n", + "reps = 4\n", + "#########################################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Taking each dataset as a separate task, we have `5` tasks, and we also set a default of `10` trees, with the experiment being run for `30` reps.\n", + "\n", + "Note, in comparison to previous FTE/BTE experiments, the lack of the `num_points_per_task` parameter. Here, we sample based on the label with the least number of samples and take 31 samples from each label." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Run Experiment and Plot Results\n", + "\n", + "First, we call the function to run the experiment:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "accuracy_all_task = fn.ftebte_exp(\n", + " data, classes, model, num_tasks, num_trees, reps, shift=0\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Using the accuracies over all tasks, we can calculate the error, the forwards transfer efficiency (FTE), the backwards transfer efficiency (BTE), and the overall transfer efficiency (TE)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "err, bte, fte, te = fn.get_metrics(accuracy_all_task, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These results are therefore plotted using the function as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fn.plot_ftebte(num_tasks, err, bte, fte, te)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As can be seen from above, there is generally positive forwards and backwards transfer efficiency when evaluating transfer across datasets, even though the datasets contained very different content." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Varying the Number of Trees\n", + "\n", + "We were also curious how changing the number of trees would affect the results of the FTE/BTE experiment across datasets, and therefore also reran the experiment using `50` trees:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "##### MAIN HYPERPARAMS ##################\n", + "model = \"odif\"\n", + "num_tasks = 5\n", + "num_trees = 50\n", + "reps = 4\n", + "#########################################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Running the experiment, we find the following results:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "accuracy_all_task = fn.ftebte_exp(\n", + " data, classes, model, num_tasks, num_trees, reps, shift=0\n", + ")\n", + "err, bte, fte, te = fn.get_metrics(accuracy_all_task, num_tasks)\n", + "fn.plot_ftebte(num_tasks, err, bte, fte, te)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It seems as if more trees leads to lower transfer efficiency. \n", + "\n", + "We use `10` trees for the remainder of the experiments to save on computing power." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Recruitment Experiment\n", + "\n", + "Now that we have roughly assessed the performance of ODIF via the FTE/BTE experiment, we are also interested in which recruitment scheme works the best for this set of data.\n", + "\n", + "### Base Experiment\n", + "\n", + "To quickly reiterate some of the background on the recruitment experiment, there are generally two main schemes for developing lifelong learning algorithms: building and reallocating. The former involves adding new resources as new data comes in, whereas the latter involves compressing current representations to make room for new ones. We want to examine whether current resources could be better leveraged by testing a range of approaches:\n", + "1. **Building (default for Omnidirectional Forest):** train `num_trees` new trees\n", + "2. **Uncertainty forest:** ignore all prior trees\n", + "3. **Recruiting:** select `num_trees` (out of all 450 existing trees) that perform best on the newly introduced 10th task\n", + "4. **Hybrid:** builds `num_trees/2` new trees AND recruits `num_trees/2` best-forming trees\n", + "\n", + "We compare the results of these approaches based on varying training sample sizes, in the range of `[1, 5, 10, 25]` samples per label." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Hyperparameters\n", + "\n", + "As always, we define the hyperparameters:\n", + "- `num_tasks`: number of tasks\n", + "- `num_trees`: nuber of trees\n", + "- `reps`: number of repetitions\n", + "- `estimation_set`: size of set used to train for the last task, as a proportion (`1-estimation_set` is the size of the set used for validation, aka the selection of best trees)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "############################\n", + "### Main hyperparameters ###\n", + "############################\n", + "num_tasks = 5\n", + "num_trees = 10\n", + "reps = 4\n", + "estimation_set = 0.63" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Run Experiment and Plot Results\n", + "\n", + "We call our experiment function and input the main hyperparameters:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# run recruitment experiment\n", + "means, stds, last_task_sample = fn.recruitment_exp(\n", + " data, classes, num_tasks, num_trees, reps, estimation_set, shift=0\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And then we plot the results:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot results\n", + "fn.recruitment_plot(means, stds, last_task_sample, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We therefore see that though generalization error remains high on the final task, the lifelong learning algorithm still outperforms the other recruitment schemes overall." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Shifting Dataset Order\n", + "\n", + "Since the above experiment involves fixing DTD as the final dataset, a further experiment involves shifting the order of datasets, so that there is a different dataset as task 5 each time. This allows us to see whether different dataset content would significantly impact the results on the final task. \n", + "\n", + "To do so, we define the `shift` parameter in our call to the `recruitment_exp` function. This, in turn, calls the `shift_data` function, which moves the first task to the end and thus reorders the sequence of tasks.\n", + "\n", + "More specifically, if we define `shift=1`, as done below, we would get the following order of datasets:\n", + "1. CIFAR-10\n", + "2. CIFAR-100\n", + "3. Food-101\n", + "4. DTD\n", + "5. Caltech-101" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# run recruitment experiment\n", + "means, stds, last_task_sample = fn.recruitment_exp(\n", + " data, classes, num_tasks, num_trees, reps, estimation_set, shift=1\n", + ")\n", + "# plot results\n", + "fn.recruitment_plot(means, stds, last_task_sample, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A `shift=2` results in a dataset order of:\n", + "1. CIFAR-100\n", + "2. Food-101\n", + "3. DTD\n", + "4. Caltech-101\n", + "5. CIFAR-10" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# run recruitment experiment\n", + "means, stds, last_task_sample = fn.recruitment_exp(\n", + " data, classes, num_tasks, num_trees, reps, estimation_set, shift=2\n", + ")\n", + "# plot results\n", + "fn.recruitment_plot(means, stds, last_task_sample, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`shift=3` gives us:\n", + "1. Food-101\n", + "2. DTD\n", + "3. Caltech-101\n", + "4. CIFAR-10\n", + "5. CIFAR-100" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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466yzmDFjBpFIhMzMTG6++WbOOOOMRud5+OGHcRyHwsJCbrnllpRds9nZ2dxxxx0opbw1c+Icx+HZZ58F3L9Irr/++pTt/c1vfuP11nzwwQcpjznjjDPIzMxM+7XoahdffDH9+vVLuq2oqChpXZjzzz+foUOHNnpsfOYaJBd3V1VV8cwzzwDu+h9HH310yufeb7/9+PnPfw7A559/zueff95kO2+66aaU0/7POecc73LDuqSOEl/bpqioiCOOOCLpvoyMDE488USg+cLi1157jaqqKgCuu+66lOuhjBgxwhta27x5s9d7mCgzM9PrJWjo2WefpaKiAnB7JA866KBGxxiGwc0338yQIUMAePrpp73HAGzfvh1wp1oHAoFGj+/fvz9XXnklP//5z5k2bVrSEER7HtvZEoeEE7/eb775hj322IOMjAwuueSSlO0GkoaiSkpK0nru1atXM3jwYLKzs7nggguaXDG5uedoz2s7a9YsgsEgPp+Pu+66K+WQkM/n4w9/+AN5eXmAW0uTjm3btgHuUG38HIlyc3O5+uqr+elPf8o111zTaGhsZyXDUqJZgUCAkSNHcsQRR3DWWWfRv3//RsdorZk/fz4ABx54YLP1LYMHD2bYsGGsXr06aQz+yy+/9H6JnHLKKU2OO/fq1Ys5c+ZQXFzsdU83FJ8m3NNNnDgx5e2JgSfV8B+4v8ji6urqvMtLliwhGAwCcOihhzb7/EcccQT/+Mc/ALdYcv/990/ZlqYKwBNrTRJrgjpK4to2Tf1MnH766V4obqqw+L333gPcaeSnnHJKk893ySWXeEMOqcL5Pvvs0+QbcDxom6bJWWed1eRzBAIBzjrrLP7v//6PcDjMkiVLvCLpPffck2+//Zb58+dzzz33cP755yd9nwGmTZuW8rzteWxni0Qi3uXE4dMf/vCH/PCHP2wxaCUOZSaeqzUOOOAAr/6uuedp7jna89rGh7uGDRvW6A+ZRHl5eRx44IHMmzePjz/+mGg02uramz333JP58+ezZs0abrrpJn75y182WkT0lFNOafZnf2ck4WYX13CF4rq6Or788ksefPBBtm3bRkZGBqeeeirnn39+k5X2GzZsoLKyEnAXuGvt/i4bNmzwLq9du9a73HDGSkPDhw9v9v5UAawnamoV48Q30KZmcyUek/hLe/ny5d7lyy+/vNVtWb9+fVptBJLqRSzLavVztVbi7LP/+Z//SXnMQQcdxKBBg9iwYUOThcXr1q0D3DeB5nr0evXqlbLINy6xjqOhb775BnBrOhLrglJJDN+rVq3yws3PfvYz5s6di2VZ3H///cyYMYN99tmHiRMnMnHiRMaOHdtkuGrPYztbfKYbkLJnIfH3yvbt21m/fj3fffcda9asYdmyZXz66afe/e3pcYo/T3l5OevXr2f9+vWsXr2a5cuXs3Tp0iafo62vrWVZrFq1CnB7Nlv7ezEYDFJaWtrq32NTp07l2Wefpba2lmeeeYZnnnmGH/zgB177xo8fv8sUESeScLOLS7VC8dixYzn55JM5//zzWbt2LXfccQdr1qzh1ltvTXmO8vLyNj23ZVnU1NSQm5tLaWmpd3t7N9vLzc1t1+O7gmmarRo6M00zrfO29XsRH7ZpqLlfiolvSh09zJG4tg3QbG9IYhtSFRbHf7Y68+cqPtzSXDiKS/yrP3GYZuzYsdx333384Q9/YMuWLTiOw7Jly1i2bBkzZswgOzubo446iqlTpzYa9mrPYzvb1q1bAffnJVVYnz9/PrNmzeKjjz5qNMsMknt72urzzz/nP//5DwsWLKCsrCyt52jra1tVVdXm1ZMrKytbHW722GMPHnroIW688UZvOPWbb77hm2++4bHHHiMQCHDooYdyzjnncNRRR7WpPTsiCTcipb59+3L//fczadIkamtrmT17NoMGDUo5TTJx2vePf/zjtGZixIewOnKJ8Y5Yy6Gzl3RPN7S0VuLrOH369FbvcdXTAmHi2jbpeP7557n66quTuvQ7o1epoXTCXeLPVsM31aOPPprDDjuM+fPn8/bbb/PBBx94NSB1dXW8+uqrvPrqq1xyySX86le/6rDHdpZgMMiaNWsAt1cr8edMa83vfvc7r0YsbrfddmPPPfdkxIgRjBkzhry8PH7yk5+0uQ333XefN/wa16dPH+859t9/f/bZZ59m10pqy2ub+HN3+OGHc+2117a6zenulzZmzBj++9//snjxYt566y3mz5/P999/D7jDbO+99x7vvfcep512GnfddVeHBMaeTsKNaNKQIUP4/e9/7xX33nvvvRxyyCGNFo5LnNppmmaz+840JfEciX/NdrTW9jak+gtyR5D4Ovbq1atN34ueIHFI6o9//GOL4evBBx/kyy+/9AqLE9+oCgoK2LZtW6f+XBUUFLB169aUvQINxWvL4o9ryO/3c8wxx3hF42vWrGHhwoW8/fbbLFq0CK01//73vzniiCMa9cK057GdYcmSJV7gHjduXNJ9Tz75pBdshgwZwpVXXsmhhx7aqIctvhRAW8ybN88LNsXFxVx11VUceeSR3gKZcYlD5E1J97VN/Docx+n0f4uGYXDIIYd4dXobNmxg4cKFvPfee8ybNw/LsnjppZc49NBDmyyM35ns/PFNtMvpp5/uzbiJRqPceOONjVYnHjx4sNcD89lnn7V4zhkzZvDUU0+xYMEC77bEGSwrVqxo9vHXXnstJ554IpdeemnawyGJPSbxxdhS2bx5c1rn7SkS16tpbgYUuHVO//rXv3jppZe8upSeIHFtm9GjR3PmmWdy4oknNvsxZcoU7/FPP/100vniBdFr165ttiB15cqVTJw4kcmTJ/Pmm2+m1eZ4PcXatWubHOKLS/y+JC6GWVFR4a3Qm2jYsGFMmzaNRx99lBtvvNG7PV4o3d7HdqbZs2d7lxsuwDdr1izA/Tf54IMPcsopp6QcOmzPv8X4c4C7hs1ZZ53VKNi09BxtfW0DgYDXA/PVV1+12IP45JNP8sQTT3j1Pa1VU1PDF1980ahubtCgQZx11ln885//5N577/Vujxc57+wk3IgW3XLLLd5fzqtWreKRRx5Jut/v93vLgK9atSppJeOGFi5cyF//+lduvvlm7r//fu/20aNHe88RXxwulXA4zLx581i7di0VFRVpD0ElFjQmLt2eaOXKlWzZsiWt88Z19/LmhxxyiDfT55lnnml2m4x//etf/O1vf+O6665rVShNV1tfi+eff977/sf3kGrJCSec4NUHLVq0KGl6fHxWWiQSSbkSbty8efMoLS3ls88+S1n42pz4jte2bXuzt1KJRCI899xzgDsFOP7v5uOPP2bChAmce+65PPnkk00+/sgjj/Qux6f0tuexnWn+/Pnewp+jR49m7NixSffHv0f5+flJM+8aevnll73Lqd70m/s5S/w5aG6iwksvvZTyOdr72sZ/LioqKpJWTU/VzltvvZVbb72V2267LWm2XnNDSJs3b2bs2LGcddZZjYbeEh1++OHeeXaVqeA7ZLh57LHHGDFiBH/5y1/adZ6ysjLuuusuTjzxRPbbbz/GjRvH5MmTeeKJJ7pknH5H0a9fP2/lT4B//vOfjbpxE8fE//d//zflX0KlpaX8/ve/966ff/753uVAIOCtM/Ltt982+Q/1T3/6kzdk1JYl/xNnLMRXLU1UW1vLLbfckvZ54+KzJjpjanRrFBcXe4FgzZo13HbbbSl7t+J7TsUfE18vpiO19bWIr21jmmarp6/m5OR4WzPEC4vjzjzzTK94+//+7//YtGlTo8d///33Xtjefffd096D6cc//rE3S+of//hH0gyfOMdxuPXWW71estNPP90rQB49erRXaPzEE080uTFt4ht9fHi4PY/tLB9//DHXXXcdWmv8fj833XRToxASX8qhvLycL7/8stE5tNbce++9SetZpep5i/+cJS6J0PA5AN5///2UbY3PMEr1HO19bc8//3yvt/iOO+5IuR5UMBjkuuuu8wJ9w5rFxJlYDb/G3XbbzdvX7LXXXkv5cwfw3//+1zt/Z3/ve4odrubms88+4+677273edavX8+5557rLYAE7g/1Z599xmeffcZLL73EQw891OMKLbvL1KlTef7551m+fDnBYJBbb72VGTNmePcfcsgh3l8333//Pf/zP//D+eef7y1It2zZMh555BGva/eHP/whxx13XNJzXH755bz77rusW7eOf/7znyxfvpxJkybRv39/Nm7cyLPPPsuHH34IuOP3bdlnJr4cflVVFW+//TaXXnopZ599Nvn5+Xz99df85z//Yd26dey+++5eQV464rNBKioq+Pe//83EiRPJyspqcbPQjnT99dezePFiNm/ezOzZs1mxYgVTpkxh6NChlJaW8u6773q9I0op/vCHP3TKoofFxcV8++23rFy5kmeeeYaRI0dSUFDgLRufSuLaNgcffHBa2zWcccYZXq1OYmFxr169uPHGG/n9739PSUkJZ5xxBj/96U856KCDiEajfPbZZzz00EPU1tZ6C+2lW3CZl5fH7bffzpVXXkldXR3nnXcekydP5uijjyYvL4+1a9cya9Ysb0hqyJAhSUMZgUCASy+9lNtuu43KykrOOusspk2bxv777+/V87zxxhveX/977rmnV1fUnse2xaZNm/j666+TbotEItTU1LBmzRref/99PvjgA7TWKKW4+eabU66hdNJJJ/Hoo48C7hpDP//5zxk1ahRKKb755hvmzJnTKPSkKjIvLi5mw4YNzJ8/n9dff50BAwbQr18/+vXrx0knneTtr3bjjTeyevVqb+r2d999x0svvcTChQubfI72vrZDhgzhmmuu4S9/+QsVFRWcffbZTJkyhSOOOIJAIMCqVat49NFHvcA7evRopk6dmtSeoqIi/H4/0WiUV155hYkTJ5Kfn88ee+xBYWEhV111Fb/85S+JRCL85Cc/4ZxzzmH8+PH06dOH7du38/7773u9hb169Uoawt2Z7VDh5uOPP+aSSy5ptlaiNerq6rjwwgvZtm0bvXv35oYbbmDixInU1dXx3HPP8cADD/DZZ59x/fXXM3369A5q/Y7NNE1uueUWJk+ejOM4zJs3j9dffz3pL/7f/e53ZGRk8Nhjj1FZWdlk78vxxx/P//3f/zW6PScnh8cee4xf/vKXLF++nLlz56YcHx4/fjzTp09vU8V/fn4+d955J1dffTXRaJR33nmHd955J+mY+A7Et912W9rnP/7445kzZw4Ad999N3fffTfjxo1L2UvUWXr16sXjjz/OZZddxooVK5pcgTgzM5M//OEPjUJmRzn++ONZvHgxlmV5e+ucfvrp3HXXXU0+JrGQ+Ec/+lFazzd+/HhvzZuGhcWTJ08mFArx5z//mYqKCu65555Gj8/MzPT2yWqLE044gbvvvpubbrqJuro6Hn/88ZTf90MPPZQ///nPjXZknzp1KuvWrWPmzJlUVlY2+btnr732YsaMGUkzwtrz2HT94x//aHYIJK5v377cfPPNTf58XXHFFXz88ccsW7aM0tLSlD8X8b28HnnkEUpKSrz1hBIdf/zxPPzww9TV1Xk9zJdddhlXXnklU6ZM4cMPP2Tu3LnU1tambLdhGPzsZz9jyZIlfPHFF6xevTrp/va+thdddBFKKe655x5CoRAPP/wwDz/8cKPHH3TQQdx3332NHm+aJscccwxvvPEGW7du9VYWv+OOO/jxj3/MMcccw3XXXcfdd99NKBTi0Ucf9UJjov79+/PPf/6z3Usi7Ch2mHDz6KOP8pe//KXZGoLWevLJJ/nuu+8wTZOHHnooqYr9mmuuoW/fvtx66628/fbbLFmyJGk5/F3Z6NGjOfvss3nqqacAdxbLYYcd5vVumabJ//7v/3LGGWfw5JNPsmTJErZs2UI0GqVXr14ccMAB/PjHP04an26of//+PPvss7z00kv897//Zfny5VRVVZGTk8M+++zD6aefzo9+9KN2TWU87rjj+O9//8tDDz3Ehx9+yNatW8nLy2O//fZjypQpHHnkkW0OI0cffTR33XWX99eYUqpbxrgHDRrEnDlzeOWVV3j99ddZtmwZ5eXl+Hw+Bg8ezKGHHsrUqVObrXVor6lTpxKJRHjmmWfYuHEjgUAg5dBBXOLaNhkZGfzwhz9M6/mUUpx++unexqxPP/100l/RF1xwAUcddRQzZ87kww8/ZMuWLdi2zW677cbhhx/OBRdc0O7X45RTTmHChAk8/vjjvP/++6xfv55wOEz//v3Ze++9mTRpEkcccUTKOhGlFDfddBMnnngizzzzDJ999hklJSVYlkVRUREjR47k+OOP54wzzmi0gnJ7HtsRTNMkOzubfv36MWLECI488kiOP/74Zlcrz83NZdasWcycOZPXXnuNb7/9lnA4TE5ODoMHD2bChAlMmTKFwYMHs3z5cl566SW++OILNm7cmLTEwTXXXEMgEOCVV16hpKSEnJwcb+ja5/Pxr3/9i2eeeYaXXnqJlStXUldXR1ZWFgMHDuTAAw/knHPOYeTIkfztb3/jiy++oKSkhKVLl3o1Qh3x2v785z/nhBNO4IknnmDBggVs2rSJYDBIYWEh++67L6eddhonn3xyk7/X7rjjDnr37s0777xDWVkZ+fn5SWta/fznP+ewww7jySefZOnSpWzatIlwOExhYSHDhg3j2GOP5eyzz272+7GzUborNxlpg48//pi77rqLL774AnB3jl22bBngJuJf//rXaZ1Pa80RRxzB1q1bOeWUU1IOcTmOw0knncS6des49dRT+etf/9r+L0QIIYQQXaLHFxT/4he/4IsvvsAwDM477zxv6/m2+vrrr726j8TNBxMZhuHd9+6773boAnNCCCGE6Fw9flhKKcVhhx3Gr371qxb3HGqNxEK45s4XH6qqq6tj7dq1XVoQKoQQQoi26/Hh5umnn2bo0KEddr742iZKqWaXph8wYIB3ecOGDRJuhBBCiB1Ejx+W6shgA/UbC2ZmZja7S27iIl7xHa+FEEII0fP1+J6bjhafuZKRkdHscYnrfjS3ZPvs2bO9JcbD4XCzq1AK0VNprdGOO7cg8bN278SddqDRDij3JjQaHPezdjTEpiZ4j4t9TjpvbP5CylkM3TC1wfAZBLL8+LN8mP7O2cxUCNH1drlw09G7MU+ePJnJkycDMGnSpA49t9i1aTdBuMFD44WM+O2gk+5DKzdwaBIe1/gcqc7ZZOjo0XMp28+xHELVYUI1YfwZPvzZfvyZvm7fRkMI0T67XLiJz/NvrjcGkjdVbKmXR+xadtVejp2ahmjIIhqy3N6cbD+BbD+G2eNH7oUQKexy4Sa+/0soFCIajTa5Umd8EShI3p9E9ExN9XIkhQ3p5RCt4FgOoaow4eow/iy/+5G5y/2qFGKHtsv9ix0yZAjgLtS3ZcuWJlckTdxcr7lZVaJ50sshdlRaQ6QuSiQYxfSbBLJ9+DOlN0eIHcEuF24Sd4VesWJFk+Fm+fLlAGRnZ7PHHnt0Sdu6ivRyCJEGDXbEJhixCRsRty4ny48vIAXIQvRUu1y4+cEPfsDAgQPZuHEj7777bsr9axzH4b333gPg8MMP7/Ai5HRoR2NFbenlEKIHcBxNuCZCuDaCL2Diz/YTyPJLAbIQPcwu2b96+umnA/Dyyy/z5ZdfNrr/ySef9Lag/8lPftJ1DUvBsR1qS+uoLQ1SVxakrixEsCJEXUWIYGWIUGWYUHWYcHWESG3U7UavixINWVghCytiY0dsHMvBsRw39MTzTaoPIUTLNFhhm2B5iOqttYSqw9hR2aZFiJ5ip+25ueCCCygpKaFfv3489thjSfddeOGFzJkzh82bN3PhhRdy3XXXcdRRRxEKhXjuueeYMWMG4O4efeCBB3ZH8z1RJ8r24Ha0o1EACpT7PxQGyr0GKJR7c+xy/C9J9whDKervjd2j6h+Nqr9PKSPhrPXPFz+X/JUqRL14AXKoOow/00cg248vQ6aTC9Gddtpws379ejZu3JhyyndOTg73338/P/3pTykrK+Omm25qdMyYMWP4y1/+0hVNbZHWGgcndoWEzx3/l6IXdlo4pmHQcqOW0aqg5Yaq5GdrKmgRuz1+nyFBS/RUGqJBi2jQwvTHFgeU6eRCdIudNty0ZOTIkbz66qs8+OCDvPvuu2zcuBHDMNhzzz059dRTmTZtWrPbM3Ql7WgcXT9m1NT7eUe80etWjE15xyQFrc7RUthSDQJSUvCJ3ZcUppoJWvH/tzZoxY+VoCUasqMOwWisNycWcvwZu+yvWyG6nNJaS6VFB5k0aRJz5szp0HPW1AVZtnItlm0BtPBW34ymAlHKGxvf2tTzpn4/T+fJWnvu5CG19M/bUkhq7vYGZ2oyXMZ7lur7pbwAFQ9dDXqdvGG/pN6u+mO8QJYU0BJ6xVC46TI+/AhgNApa6fzcpPMap/NNbfr73N6ft6aakPpg9+Xs4iCqwOc38Wf7CGQFUIYEYSE6k/wp0YNtqd3Mo18+SnV1kIDKIENlkWFkkmm4nxOvZxpZBFQApZroAk8nwrY770pe7kiq4SWV6s0/4a084U4Dg+RQVR+63OkECUN+DUOZd7LEHrHEcyfUcankc5F4X+z+1szO0w3a3xkUYBoKn2HgMxWmYbjXY5c7hQYrYmNFbMLVEW+WlexnJUTnkHDTg21duZ28v/UnzwbHcHCUgzYcQipMnRFEG2U4hoNWDtrQaEODAcpQ7odpYBgKwzAwTBPDMDFNA9P0YRompunDZ/rwmf7Yhy/2OAXxcxi415V7e/w2jMTr7hulMmO9DN59xO5r5ljRIt3wkk4VFHTKi3a8ViuVNpZsJfVmpRG0Yn1LqYNWLAF5kcrr1XKruVoKWonXkoYKAZ0UutxTWI7Gsm2IJn9hhgKfYeA3Y4HHUO6/GaPjfl4dWxOujhCuieDL8HmLA8q/ByE6joSbHuwHe/6AquNDlGwpw7YcHMfBtm1s28J2LGzbxnFsHNtxPxz3Q1uxNW+c+OdY3Y5jox0H23EwtIFyIihtYDgKpbun6NENUomBrEGwahCOGh2raBCcUgSr+H1mwmMNBQnHJR9Lg3Y0dSwJ7apvkxf+4sfuZJJWSUojaLk6tgg+qVerpaDlHaYwlOkGfGVgYqKUgaENUAYRByK2U9/22Hl9poHPUN5nI9b7Y7T1e6xxl2sIWRi+CIHY4oCmTwqQhWgvCTc92Hbb5vkAVBYEMA0ImAY+n4HfVPUfBknXM2Ld6+59Cr9Zf7+pHBwjQpQQYSdE2AkSckKEdZCwHSJkBYlYIUJOmKgVImJFiFoRwk4Yy4pgOzbKMVCOioUj5V7XCsMxMB2TAJn4dYAMnYGfAAGdgQ8/fieAX/vxaT8+fPgcP6b2xT5MTG2ibOWOiNluKHM/Yte1Rtux647GiTroUH2A07EAhxM/rv5YHbut20bLmgxCKQKYkSKsxUNVqh61ho9tKiS2EBpbeu7kY0kOnN1RwxKT1KvVUtBKumon5Sy346i+F8lUPne4Sple+LEdg6j7xbtfs7t4d6MhLp/hBqF0hrga72flk+nkQrSDhJsezHY0VUGL0tooEVsTdcBy8D639b3aUOA3THxmHn4jD7/ZMBDVX84wITd23fA7GGYYZUZQRhhthsAI46gQjgphqzAWISxCVFNLRJcS1UHC2g1SFlaz7TIxyYjVE2WqTDJitUQZRuxy7Da3ziiTTJV8v081/+OsdX0vVnIQShWMko/VdqrrKUJUU8dqjbZbeG7veOoDnKNjYa/BY+OBzk5+bHOjUJ2qpWDlDWuSFMga9dw11fuW6rFp9765xwV6ZeDPS94w190pJL6/CNhEUoafeP2SqUz3wzAxbQOlTHcpBGW4dU5GrLfHMLyeHjM2xOVrZojL28+qLupOJ4/15sh0ciHSI+GmBxtSnMs954zi848+JxpOXq9Ha42t3aATTQg8UUcT1QpLK6IootogCliOe91yIKqV+xhbE7U1lqO9y1FbE7IconbsfkdjxT7b3hunL/aR0+qvxf1r1sbvj+D3R/D5Ivj8EUxfCGWGMXwRlBlGGWGiRpiIEcIxanFUKbYKYxNEq+bfuU189QXXKpNMM4tMVR9+MmKByL0eu99Xf91sIRztCLw9v+zEINTwenIvmG4QjhofGztvqh61pMemClyNA1ji83oBLvHYhF66pkJne2X0zSR3rzxy98oje1COG4Sae11pGH4ckgt26nt+EsOPYZj4cMOPQmEabgjymW4tXOIQl7/BEJcddQhWur05viy3ANkn08mFaBX5l7IDMJT7l55OWutG4VNuaMhKOjrxl7QmZY2Dihf+GmAasc9u1zum+9cnPqPBucDRsaBjx0JUPBA1CEduIKLxfUnHuUWd0aB7PRwPUbEeqvhxScMOyo71HIVjgSj2OfG2hM+GrwLDLEGZETDDqBbCkdJ+TJ2Bj0z8ZOJXWfhVBgESeouMLLKMLLLMLLJ9WeSYWeT4ssjxZeIzuv+fU3ytn52x1ifOC3BJPWgNr6fuUdO2JrQlSM3qakoXbaN0wTaMDIOcoblu2BmWhz+/betbaa29DWZThp/4NH6lMDDxKRPDNDExMJSJodzw4zcNAqbPDT+xIS4ntrWKO508tp/VTvw9FqK9uv+3sWiWgUmeLx+bKI67Pab72bGxtYOjHRxsHG8Xbojv6t2k+K7ejkPiSFHSI1S8K9/0QpBSsV+8hgK/Dzr5l6vXO9Woh6n54GTFA1JUEw2590Vsh6gTIaJDWISJ6hCWCmGrEA4hnNjwGkY4oSepon4YzgyjnOYHArXtR9sZ4LgfhpOJ0hmYOtMLTfGPgMokoNweJrcXKZOAaXrDgr6kIUJSDhmaRvfVunSnpADXht9guXvm0WdiX+ywTe3aGmpWV1OzpprqFVUAZBQn9OoMzkZ10JCQJv5vVGPjECXaYOgrFn5iBc8+ZaAMNwSZhoHPNAmYPgJVJv6An+ycAJk5AVkcUIgU5F9FD6cUKBuUZZC0IoYKxP4KBGJriGilcWJbhju4WzZox8HWdiwEObEQFJ/p0kwIig0NJIxFNQg/uD08KQIQpnI/p+j9Se9rj/dOKbL8LR/fEdzeqRQ9U5ZD0A4TtIMEnSBBJ0TYjtUT6RARHcQiFAtNYWxfCFvV4KhSLMO9LdzCS+HYAbSVgRPOQFsZaDsDx3Y/azvgXa6/rT44+VUG/tgQh99MXVDub1RsnroovblzGDtRmDIzTPJHFpA/sgCtNeFtYWrWVLu9Oou3U7pwG0bAIGdIrhd2/AWdt2q5F37Q2Npx+32aCT/mdoOA30dWdibZORnudg8+Pxmmj4DPh0/qdMQuTMJND6cAX4Yfw1Ro2w0tONrrmnev1x9vxDZ6d/9v4q1sa9QvpKbj/6mEniBd3xNkawetnVg3O6lDkAatHfe5LTvx5oTGx4s8DS8AKcOMhSAFZuf3/qTLUIqADwIpQ1kGkN+m82rtENERQk6QkBN0Z6tp93PQDlIXC00hO0TQCRJ2gkR0rCgbt7ep+ScApTPAycRyMrCcDOpiQcixMrDtAHY4A8sKYEUbhyTt+GlNEDUVjXuVEkNTih4mv0mTBesNe6YaHufrot4ppRSZfTPJ7JtJn0OKscM2desSenVWxXp1+mSQ4/Xq5GB04bTtVOEnZIepCtWiyhUBvw9/jh8jw0AZBj7DIMPnJ9PnJ+Dz4TdMAqafgN/XI4ZQhehM8hPewwX8JoP7Z7u9MrabJdwlODROrADT0WA7Do7lDt3YVmy4ytY4iYWhAI6D0rEl0WKfTQDl86bBKsOdtaEVaByIhSAbjY6FHyehN0jr+u72pBCU2PsTdce/urr3p6dQyvCGoAooSvvxjnaI6HAsGCVM4XdCSWEpfjnkhAg71YT1NkJOkKiO0Fznl0LF6oxiQ2c6E5NMDB0bXnMyQGegvDCUiWMFsGPBKWr5iNqaYMSJ9XolDx22MKLXLJ9Bk8HJ18ywXX1PVHLPVJbPIDfDIC/DIMOXeuaSmWGSN6KAvBFur05ke32vTvlHpZQt2o7yG+QMySF3r3xy98ojUNh9e9FprQlHooQjUUzTIJAVwM40CfmilGn3rx+3x8cN8D7TJNPnI8PnJ2D68Zs+Mn3uop7xWWBC7Mgk3PRwSin82ibp3cFI+Bz/DiZuuxBbX8PWoJVye2Ic5V533DoWtDvV3LE1tuNgWxrHdtxwZLs1PdoBrQ33Mxoz1mNUX/MQD0HaC0Dp1gW1qvdHKbfw2ev9iRdAA6bf20ZgZ2Yow5v63ha2tok4IUI6Mfy4w2r1gSiYcFuIsFNKnRMibASJ6miz5zcwyDCyyEk1jV9lEVCZ+FQGPu0GJyP2oWKByXZMdyafV1+VHI6shjVWsaHDYNShKtR4xl+0lTOqfAbkZZhe2MnNMMgNGI1uyysI0GtCH3ofXIwTsaldV+uFnZpvNgIQ6J3hFSVn79G1vTqJbNshWBPCqFP4/D4C2X50QOGgsbX7EXUcgtEoEAS8tZ/doU3TwG8YBHx+MmI9PQHTH5v9ZeBTPgk/oseTcNODRVetouK3NwEKo7DQ/SgqRBUWYhQVYRS4143CQlTiDua2GxTiv368b7JKuDGRit0YL+JRCke7U7+11jhaxS477mWNuxqyrbFtB9vR2FEHx3GvO24awlGgVGzWSqxLvU11QY7jFj830fsD8fVSfG6w8yX0/mCA32RnDz8tMZVJlplDVhrT9xPZ2koZiMJJgSkWjmK3VUcrvcUiW73GkT+TzIzYVP5YOMprtMZR8v2p1jjSuumAVBfR1IRtqiMONWGH6rBDTdimPGizviJKbcRJ2dNkKrzwk5thkts/h7zdcymI2ORtDaE21VH2cSlli7ej/Mqt1RnmDmEFijLa9Lq3h+NoIuEokXAUn8/d5sEMmDg+tycwUfxvjrDtEPbq7CLevxpDucHHb5j4fGAaPjJiPT8+w3QXPfRmfLmXe1qxe2KvcvI8zNQrasdvb+n+xsfoVIenbEfS7YnnSzqm+fM1uj/+q7Op9jVxvvrnbOn+xsf0yeqTsmXdScJND6YCAVRmJvb6DVirVuFUVICV+k1C5eS4ISchBLmBqChFKCpA+RMGKRKCRFxsHdbYyUkIRYk/4AqMhPMY7t9/tuNgO+5qw47jDknEP2zbDTe25YYWy9LuthJO/VRa24kFnNiQVzzwOI4du5yiLsjWaKt+LaAme3/ivT6GAYYZWxjO575z7eIBqDmm8pFj5pJj5rbp8ZaO1ocjbwgtcaXsICGdcL8TpNIu90KT08K2DT58yeEnaU2jhNt9meRm5TPQ14scIy/lG7CjNcGIpjpiJ4Qfh+pw8vWS6ijVESdWc6+gTw5mr2x2q4kwqCrC4O/ryP2mGoBQjo9Q/yz0oBwyBmeTm+Nze4cCbs+Q2cm1Z5ZlYVVZGIaBP9OHP8uH9hHraW1a/D5bg205hHAgAhD1ent8Zv3ihH7TwFAGfp9JwHRDT7wIvbVvlKmOqW+lTnjzJvl+XX8t1fmSz9O5uup5egKDnlm4rnSzc4ZFOiZNmsScOXM69Jw6EsHasNGrZ9E1NTgVlTgV5eiKCpzycvd6eTlOZQVOeUX97ZWVXi9OQyo3NxZ6ilCFBUkhKH67F5YKClC+Ds7B8TeVWE+RG1JUQhhSbk+OF5LcHiLHUTix3iLLst1udsfC0RDVtlsT5NjYjtsTZDvukFiTdUHQut4fn1nfZtGltNZYOtqgx6g+DKXuUUq+X6dY+c+vAhT4elFk9qbQ14tCX+/YRy/yzQIM1fLQi9aakKW93p/6IOR+jpaFyCwJUrgtRO/KCD4NloItuQE25PvZmB+gKsNHtl+Rm2HWD4NlxHqHAkaj2/wtLDjYGkopd82cLD8qw0AbGqeD3grirTMT9uEyDWJbUxiYsmnuTsXAYLfc3bq7GY1Iz80ORCmFysvDyMuDwYNaPF47TiwM1YcgXVGedN0pL8fesJHosq/QlZXu8E+q587Prx8aS+wJShGKVH4+ymzhjaFBb1H8r0Aj8QqA2aCnSMW6kRSgArFCaeXN6rIdHQtGxIbPwLFtt6ZZ22jbJmLZsTKfKJbtvnFGLQfbsdCOjeNY6Ehsdkp8fKLhwodJvT8KDFN6fzqJUgq/CuAnQK6Z/mw1rTVRHakfLrMqqbBLqbBKqbDKKLW28m1oJXbC0JmBSYGvkEKzPvAU+npT5OtNga8In/J7bcvyK7L8Bn1zU/06LfAuOVGHym+rqfimGv+31QzaWAsba7FyfVQXZ7G9VwabTR8bQ24PUchKHTYyfapRAEq8nhiGMpqo+9FaE41YRCMWpmHgz/Ljy/Th+NsfcuKPthyN5ST/cRX/FxIPPu6WFAqfcvflkuAjOor03HSgzu656WzacdBVVW74iX+Ul6Mb9Ax5t1dVpW6XUvVhqKgII9YzpFL0DBmFhW4YSmOTwbQl/rKMd5HHerHd7OLeZjtgobEtGwt36MxybGxHE7UsLMd2u/e1jeM4WLaNtsHWbk+Sm85ULPAYaEOhYkNe0vvTs2ntUG1XuYHHLqPCKqU8Fn4qrFIiOnEqviLPzHdDj9mLIl9yAMowMlv1nJGy2AysNdXUrq1BWxplKrL3yCF3rzwyh+YRzjGpjeoGPUINe4hs6qKpfz/4TeWGnWYCUPx6lt8gkOEnkOWDDANbtbAYaMoX0oGo7faURW20Y7v7e/n8KNPn/htoQsNhLlO5s+FMZXi3iZ6np/bcSLjpQDt6uEmXtu36MFQe7xGqwKmsQCcOl8WCkq6qSn0iw0AVFCT0CsUCkTc01uB6bm7nhqG4hqEoVmittTvzxHLctYIcx52Kb2k38FhWFMt2iNq2G4Bi97vT9zU2CkeBVgaOckMQxLfCcPcn6nnf7V2X1pqgU0uFVeYGHrs+9FRYZdQ5NUnHZxk59cNcDcJPtpGbus7Hcqj7rn4GVqTUDVP+woA3AytnSC5GIPXPve1oaiKpa4Pi12si7m21YSflz5dp4M0Uy8s0Kcj2UZDnIy/bR06WQV6We3teALL9GsN20NquDzGW5fZ0NvW7SoEyDLfeL+BvVeCJPcz9rEjYfd0NPvF9uiT4dB8JN7uAXS3cpEtbFk5lpVsTlNAzVB+CEnqJKirQNTWpT2SaGAUFsXqhWG9QQXIoqh8yK3DDUFf2mMSDl3JDihUriHbrf8DWbhG149hYjlsoHbWtWMG1g0ZhaY3WJo6JW4uk3W2mbaXQKlaHFK8fSqylpKkZFaKzRJxwfS9PwnBXhVVKlV1J4nfErwLe8FahmVznk2cWYMSWdIiUR2JBp4radTXoaKxXZ/ccL+wE+mS06efa0Zq6WNBJFYBqQnbsuhuY7BQ/UIaCnADkZSjyAsr9HLucm3C5INO93qQ2Bp6Eh7ufFd4UdnfU2Iit59P5xdq7Ogk3uwAJNx1LR6M4lZWxobGEIbGKhF6iigovLOna2tQn8vnq64QKEobEkmaUFaDiPUPZ2V0ThhKKqrXWOIb7xmOj3QJPW2PFFkx0p9w7OIZyF2WMhRwH3BCk3J3fHa3BMNwht9i6RO5Ms9jMGO0WbGtHe0XWEow6j6UtqqzyWPipH/KqsMqotMqwE2aBmZgU+Hol9foU+npTSC98mwIEv62jdnU14e2xXp0CvzfVPGdoLkagtWvPaLBivS62RjtWfDoU2E4sMMemQWtN0IaaqKJOK0KY1DhQFbapCtlUh6E6oqkOa2rCqdcXGlJocNAgkwN285ETaMW/q3YGnoTTAG4QcwubDXwmGIY75GVK8OkQEm52ARJuupeORJKGxlKHovqwpIPB1CcKBLyeocahKOH2QnemmcrK6vwwFFs4EVRspWgbW2kc5Qai+OKJdny2WGzYS8cWPdQoUKa7nonhrvujHe3NPNOWg63rw1B8hlp8lMGdaOYuAIfWseCUaqqtaC1HO1TblQlDXG74iQehqI4kHK3INwso9PWmd11fem0oJvO7HFivIKLBSO7VyegdQDlWbLd025016ThgW+6q4e34fWKaJr5MP75ME23a2LEZmVprwlZy2Cmp1Xy6yWJztcZUsHdfk4MGmuzb18SXzqyvDgo8CadzvxbDHeLyG0ZsjdDYjC5DYUjwaRUJN7sACTc7Fh0ON6oX0il6huLHEG5if6eMjPqeoHgIamo2WWEhKrN1BadtktAb5GjHDUIq1nuj3N2o45e1oXEMA8c00MpAGao++Bg+lFbueh2Ojr1JumsTObE1ibA1lrtAkbv6rR3bs8wLR7FeIvDqjWQ4rXW01tQ5tfWhxyqjPGHIK+i4vZTKNui1tQ8DNu5B8YbdyCp3F2nUOQ6BwQYFu2dTMDAPX0bHryislMIX8BHI8oMfdxXyFLMttdZsqtJ8vNFi6SaL6jBk+eCAAT4OGmgytMho2x8HHRx4Ek7rzegyZSp7iyTc7AIk3OzcdDDYqGeocSiqrxkiEkl5HpWV1eRii6rh4ouFBaiMTljdtsGQmK1iiyUCWrlL5jnKccOPAbYBOhZ+DMNAm4a39pF2tLuFho6FHkd5QxupQpG2HS/86FgdkhNbuBFiM9hiK2RDwnCat2L2rhCMdGzIyI4NFdlgORDrhQnZISqdcip0ReyjkgpdQag6RNbGfIo37kafTf3xR/04yqGmXyWRQbWowZq83lkUGkUUqgJySb2QYbpMn7tmjplh4igbx0m9vpbtaL4pdfh4g8WXJTYRG3plKQ4aaDJ2oI++ue0sDO6kwJNw+voZXYZMZQcJN7uETgk3to2urY3NQohtQxD7aHxb4tTNhr/95dvclbTW6GAwYaHFxjVDOrFnqKICoqn3b1LZ2U0vtthwin1hYfLq0+3VsC5Iucvh2cpxe4dMcAwD29A4hnLrhpRyZ4CZprfru2q4/o8XhGKXHU18qKz+w52i7V2262f5OE48INVv1xHLRPV1RTq2VpGm0XBarAmt1in/erR2ZxhpDbbtbjNiu+FFx3rE2sLSFpW6kgq7guotdVjrNf4NWWSWub06wew6tg3czLZBmygfsJ2cjGwKVSGFqpACVUgh7uV8lY/ZioUMExmGgS/gw5/tB587RNrUW0zY0nyxxebjjRbfbHe/t7sXGhw00GTMAB+5ranPaY1ODjwJT9NoxWbT2Pmnsku42QV0RrhJl/uGEfvFGA9BUB+AYrfrhPvjt+sG15PCUsMfE/mx6VBaa3RtbYPQ0zgUJc4ma3H16VQ9QYmLLRbEeoY6avXpeF2QMtzhMNwCaMfnTne3TTf02IYbOmxDoRN+4adasj4xFCliK1nHeoq0l2ZI6CHS3jHxD8epL46Ni4ej+iePHUN9kPG29tBNta6+HinpHF6NEm6Ni6NB2zixnhdt22jLdv/NecGu/jkS/jyp/xtFN9WCRi1K+pR4MVpjU/N9kMr1tYQ3WBBRaKUJ9q2hdFAJGwaupazXdq8gRaHIJ58CVZAcfmIfftV8iPYFfAQy/Rh+w2270qBAx7+lun4YsyJo88lGN+hsqtYYCvYuNjlokFuf0xGrMifposATeyr38046lV3CzS6gJ4SbjtYoBKUIS416kLxglKKnyT1rikpU+TFMR/1WHE0VTjeYTdbcVhx5eU0vttggFKn8/PaHofgGrYY7Vd42DbTPDTreMJjp1vvYprumUOJGj615k0/qKYq/33uhSKNtd20Z78ObPZbez6G2LbBi67zEZxxZthdimuwmaum9WqU+yOuhosF+TfEEpOqvx1fuTn5q9/G2DbWbwlR+F6RybZDgNrfX0MxR+HfXhAfXUTmglDJ/GeVOOeW6gqBOLsDPUTkUqSIKjVj4MYooUoUUGIVkkVUf8HBwvyMKZdR/Nkx3vzcjXrwbCzAbqy0+2hjh441RKkM6oT7Hz9BejfoAO04XBp6Ep3Q/78BT2SXc7AJ2xnDT0XQLQSllWJIhuHbTjoOurk7RE9TEbLKqKlJuxdFVq08n7FCvTAPt8+GYyi1+NhS2aYBye38cw63Lie8nlnI356aeJv72okFbsdBj14ceK2KBbeNYlhtWLMsbOsKKrcTbOEHscCI1NuXfBSlbG6LiuyBW2A1K+btlUDQ0k15DsjD62JRRSZldTqlTQWnC5yqdvCZVpsqgt1FEH7OIvmY/eut+9NJ9yKT5YnoV2+ZEKTfUrqnUfLLN5ovtsfqcTMVBAwOMGxigf57h9QQpVd87V1/U3gHflG4IPAlPDTQ9ld0XC4bdTcLNLkDCTdfqyCE4bTuJJ274RF35ZfUI2rYTwlDDnqDGs8ma3Iqj4erTqYbGEq+ns/p0wjCY8png84Np4PhMdzjMVGgFjs+I9f7EN1O1sbTbi+VoJ7ayrgNW1P05iAUYZdtuqLZBOyop+NiWEyuMjv0s7US0o6naHKF8XZDydSFqStzCeH+2QdGQLIqGZFK0Ryb+rPo3+KiOUuZUeoGnLBZ6tjlllDuV3nFFqoi+qh/9VT/6Gf3pq/oSUIEW2xSxNV+Vaz7d5vBNpRtbB+UoDuxrMKaPj7wMd7afMhXKMDDMWCgxFEqBVvFeLXf2ICQUvZNmEOrGwJPQBKBnTGWXcLMLkHCzY+uSIbid9J+btqyErTgaD495s8niAam6OvWJYqtPqwY9Q0lDY4k9Q82tPp1QDK0MBX6/u6Grz4djWVhWmGg0gqNtLMcm6kSxnGjsTc9p4g2vvmdBa4V2p5fh2NoLPY7luD1lsTfPHV2k1u3VKV8bovy7EFbIAQV5/QP0GuqGndx+gSa/D7VOkE32FjZYW1hvb2GjtYVKXb8VSy/Vi36qP/1UP/ob/ShWfZut56mKaD4vdfhkm8PmOnez3eGFijF9DPbppfA3eFNXsRCc2CukTIWhjFgYUhimEdu1F7c2KP7ZwOsFarY3KFXgiYXtrtbVU9kl3OwCJNyIRDIE1zRtWe4QmDc0Vu5dTwpE5eXulh1NbcURX326sDBhen3CYosFCTvYFxU1v/p0bBjMdldswcbB0jaWEyUa3y3ee4NLUfysFCgjVuDsjpdox91Sw7EcnKjtTYvfUX/takdTvcXt1Slbm9Crk2W4PTqxnp3EXp1GFFQ4dXwb2swGaxMlTglbnBJqqYndreitetNP9aOf0Y9+qj/FqhifalzrtaVO8+l2h8+2O1RGIMOEUb0UB/YxGJqvMNJ8E08KQLEPTDBiNTDKjAUiRYtF0hrdYwKP9/XR8VPZJdzsAiTciM7SYUNwSb1K7DBDcDoS8bbicCoqGw+NJexarysq0HV1qU8UCLjrDPn94PO5n/3+pOvubT73jcjvQ/kDELtN+3xov/vh+IzYh4n2mWDGPvt97vE+H/h86IAPFQjEhs38aNO9z1EmtjJwMN0NVGPT7XckkTqbinUhymJDWFbIHaLL6x/wwk5u3wCGL8UbpoKwhrqIQ9RyqNE1lDgllOgtlOgSSpwS6nC/jwZGLPD0p38s8PRRfbyp6o7WfFvlBp0vSzURBwoCMKaPwZg+Bv2yO36IJrE4uqUi6XgIQmkw3V3Std/9+VCmL2nWYHdp61R2CTe7AAk3Ykexsw/BuatPJ/YE1U+j18Eg2opC1Kr/HI2io1G3/iYahVTXLav+cxMLNLarzUp5gQi/PxaYYgEp9uEFpniNUaPbEz7H3jy1GT9ng2PNFLc1vOz3xx7vDudhmvXDfQ3b72hqSiKUrQtRvjZI9Rb3NVIGZPf2k9svQG7fALn9AuT08WP63TdLR0HIVtRFLG/aPrg/ozVUxwKP27tTorcQIgS4e3H1UX3cIS3DrePppXpjOwbLy92g802Fuy7TwBw36Ozf2yCvo9bPaaWkXqD48JjpDoUppTB8BoYv3sNjeqEanxEbFgOIb3fS9f+mWprKHvCZDMof2OXtaomEmw4k4Ubsqna1Ibj4wnvxsKMjkfog5AUiC8eK4kTDWNEITjSKHQ1jR8I4kVByiIpaqNhj3Q8bolb9h2VBJBauItHY7fXHK6v+uopNR1dNLArZrq/bC2BmLBwlBiw3jOnYbWFfNmUZg6joN4JKf19qtttezw4KsnslBh4/mX0ziBiKUGz4rqnXvYqq+h6eWPAJ426NYuKjryqODWn1J9fqy/dlhXy2XbGxVmMAexUoDiw22KdIEejo9XPayQtChsIwTVTAh8oIYPr9GAE/ymfGeoRiQ2FKoQwdGxZzl09ws1DXxCAF+E2T/Qfs2QXPlh4JNx1Iwo0Q7ZdyaA1aHoJrtleJ5HDUnb/2mqztsbF0NLaqb1MFyWkUNDtOUlhSVrQ+CCWGovjlWIhyw5EbqpLut+uDlvIeH3WDmHdb/Dnc24zycozt29F+P9EDDqD6oCOoKP4BNaU2NSURarZGiNbVzzbL6uUjp28Gvj5+/L1MMnr7MTOaH7LRWlNBRaPAE8UNdz589FV9ybP7UV3dl3Vbi6moKSJgKLc+p9hgzzbU53S5WNFyvBfO8PsxfAG3BojYkJhhYJjukJiKfbjVxbG/EwzlFk7HeoE6ojfIbxgcMHBYB3yBHUvCTQeScCNEz9MwBGmtYz0gEbfHJRxxg0B3/ypU9Qvz2ThYaGxsr6jZcix36rqOhbhGD++BBc1aY675Fv+HH+JfuBCjqgqdnU10wgQihx2KNXw4kaCOBZ0oNVsj1JREiNTULzjpzzfJLPaT0cdPZnGAzD5+zMyWA0+5LmOLdoPO1ljgsbAA8OkAZqSYqqq+hGr6kWn1ZXReEWOLTfp3Qn1Op2kQeJTPhzL93rYnEF8xIbZmVGxYzDDjU+fr64O0UT+zDFO7C0WqeOdp00FIws0uQMKNEDsmHYnE6m4siIRj1y1vSK3beb09buBJ7O2xtYXlWE339sTrPVC4m5q671j1PT0ax7I7f80e28a3bJkbdD76GBUO4/TuTWTiRKKHTsTZfXfv0EitTc3WCNVbo1SVhKktiRCtTgg8eWYs7PjJ7OMno9iPr7kZWrhrGpXpslixslu0vFVvxSa25pGVgRXsS0akL0MD/RmX158BgYIdbyPMVgSeJh8aD0DxHsLY7CnDpzAMA+KF0kb9sJjfNNhv0NDO/7rSJOGmA0m4EWLnoR0HwmGvpkZHom7wacemlh0uobfHajDMZTsWlhN1V21OOYW9wRBXrPwJW2FbDrYV2w9Ld0JvTyiEf+lS/B8uwPfFFyjHwd59dyKHTiQ6cSK6d++kwy2lqKqKUrUlTHBrhPD2KKFtUaJV9YHHl2OQWRxICj2+nOYDj61tynQpW3QJG6wtfG+VUGtuA+WGPGVnUqj7sae/HwNMd6ZWR+2k3qXaEXiaPGXsZyfD7+Og/UZ2YGM7hoSbDiThRoidX3xmlVvYG6kPPj2llycuRW+PrR0sx8LyentiQ1wpe3tiQz+x3p7OWqFZVVbiX7QY/4cf4lu9Gq0U9siRRA47lOj48ZCTEzsQwlpRF7GJWu5z2mHHDTqxsBPeHiVSYXnnNrMNMvvU9+5k9vHjyzWbDSeWtvgmtJ3PajazwS7BySjBl1WGigWebLJj6+/082Zq5arcdr0G3aKDAk+m38+4/ffupEa2nYSbDiThRohdk3Yc8Ia2orFannCsloeeFXoAlPJ6exzlYKPd0JNub08Hr9BsbNmCf8EC/B8uwNy8Ge3zYY05gMihh2EdsD8EAmgFIUdRF7axUwQrJ+IQKo16vTuh7VEi5Zb3ZZiZRqMhLX9e6sDjaM131Zql2yN8XbcNJ7OErNytZOduJeori23lADnkxtbfqQ882So7ra+9R2hD4JFwswuQcCOESKTj08IjEa+AuUf28sQl9PY48eGthJWam+vtaaqg2YpYWGF3l/RWv91ojbl2Lf4PYoXIlZVuIfL48UQOOxR75Egs0yRkaYLNTB2Pc6IO4TLL690JbYsQLrcglo2MgGpUtOwvSA48UUezolzzyXaHlRUaR0XpV7idQX22kpGzlTJVQpku847PI49+Rn/6q370jQWfLJXVuq+/J2kh8Ei42QVIuBFCtERrndTLQySCDifU8vTUX8mx4OPW9theb4+tLaKOhePYKXt73OEthXYM7IhDNGS5BcytHc6ybXxffYX/wwX4P/oIFQrh9OpFdOIhRA47jMgee1AbcYhYdlovnWNrIqWxIa3tUcLbooRLo8Qnohl+5YadhCGtQKEPZShqo5ovSh0+3a75vkajgGEFiv36WPQt2kYZJd5MrQpd7j1nAQX1Q1qxjUMzVfM7pfdICYEnKzeH8ePHdHeLGpFw04Ek3Agh2kpblrf6sTdNPRLtGdPUmxObPuxo7QYer77HJupYWHYEx7G9Y5Uy3F3Wo4poxMIOWzi23fxzxIXD+Jd+4tbnfPEFyraxBw8ieuih1EycSHV+Lyyr7TVA2taEyy2vdye0PUq41EJb7uuvfIqM3j6vdyej2E91pslnZe6KyGVh8Buwb5FiTLHBXgWKKGG26q3eDK0Sp4RK6ndKL1RF7qahae6U3lNkZWcz4ciDu7sZjbQp3FRUVPDhhx/y2Wef8e2331JSUkJdbC+XnJwcBgwYwJ577slBBx3EhAkTyM3dAYut2kDCjRCiI3m9PPHhrXBsmrpl9+xenjilsJQmpCPURWuxHCupzcow3YJlR2GFHaLhKNpq3fCVqqrGv3iRG3RWfQNAdORIaiceSvkBY7GyczrkS9COJlKRMKQV+9DRWOAxIaOXG3Rq83ysUj4+DhvUakWuHw7obTCm2GBANt4wV1AHvaATn5peTbX3nOnulN6ddopw8/bbb/Pkk0+yePFi7ISk3fAUieOUfr+fo446imnTpjF+/PgOaHLPJeFGCNEVtG3XD2l5Bcw9ZDHCJmilCCuLOitI2A6jneTemsThKyfqEA3Z2FGrVcNXqmQrgQUfuoXImzahTZPQAWOomHAwtfvtj/Z3bE+I1ppopV3fuxMrXHYisdfeAJ3vY1uWj29N97O/yMf+/UwO6GNQmNG4QLdO1yVtHNr0Tulu6Glqp/SutkOHmzfffJN7772XNWvWJAWZ3Nxchg0bRkFBAXl57tz/uro6SkpK2LBhA5WV9V1vSikOPPBALr30Ug499NDO+Wq6mYQbIUR30g1reXraYoQQ681xqHPC1Fl1sSGpFNtMGG0YvtIaY906AvFC5IoKnKwsqseOo3rCIQRHjASjc3bg1loTrbKTZmmFtkVwwu7X5gAVmSZlWT50Lz8DBwUYMcRPdjOLDzbcKX2Ls4UgQaDlndK7yg4Zbr7//nv+8Ic/sHDhQrTWFBYWcvTRR3P44YdzwAEHMGDAgGZPvmHDBj766CPmz5/Pe++9RzAYRCnFxIkTueOOO+jXr1+Hf0HdScKNEKKnabwYYcQNPj1gMUJHQVhZ1Fp1RK1Iym0lIDZ8pRXadoevrHDUW1W56ZM7mF8tJ/DhB/g++hgjGMQqLKR6/MFUHTyRyODdm9zhvKNorbFqbG8dnuoS97MZcb9ODYSy3e0ligf4ySoONLufVnyn9C0Jw1kluqTFndI7M/DscOHmmWee4Y477iAYDDJ69Gh+8pOfcNxxxxEItK17LxgM8sorrzBz5kxWrVpFXl4eN954I2eccUa7voCeRMKNEGJH0WgxwnC4+3p5DEUEmzonTChaV1+AnEKbhq8iEcxPPsU3/wMyvvgcZduEBwygesJEqiccjNWnuOO/piZorYnW2mxYH2HThiiR7VEK6yxyovXt9xeYbsFyK/bTqt8pfUtSHU9TO6X3U/3opXphqI7pwdrhws3IkSMZNmwY1113HUcddVSHPunbb7/N3//+d1avXs3XX3/doefuThJuhBA7sm5fjFApbKUJ6Si1Vh2WHWnhOd09jxxHoS1FNNzy8JVdUw0LFpP1wQdkrXYLkYM/GE71hEOoPmg8ThdPgLEczcoKzZebLEo3RSiqsxgQtigOWfiCCYEnz/SmpMfX5GlqP63W7JTeL2H9nf6qH0WqV5u2ldjhws3MmTOZMmUKptk53VmO4/Dkk08yderUTjl/d5BwI4TYGXXHYoRaKcJYBJ0gIatxAXIqyjBAGziWwo40M3wV28ohsnELmQsWkLdoARmb3ULk2v1GUz3hEGr3H4Nu40hFW9VZmi9L3Wnl66o1GZbDvtiM0Ba96iyipW3fT6vhTuklzha26q3eTukBAvRVfWPr8LjDWoUUthh4drhwI9In4UYIsavQWtfX8kSj7mytSCcsRqgUFpogYeqiddi2ReMC5FQPa3n4Kr6VQ23Iwv/dOvIWLSBvySJ8FRXYmZnUHngQVQdPJDhy704rRG5KWcgNOZ9ud9geAp+CvYsUYwpgcNQiWmo1v59WworLvhyjie0l4julb/HqeLYl7JSeQUZsOKs+8OSTn3QuCTe7AAk3QohdnRd2YsNaurbWXZenA9QXIAeJWuEmC5AbSx6+ssIWVsLwlaUUQUsTitpoyyZr5dfkLVpI7icfYwaDWAVuIXL1wYcQ3n2PTi9ETqS1ZkOt5pNt7qrItRbk+GB0b4MDixWDchQ6qt39tLbVbyIaqWiwn1Z8SKuF/bQSd0qPD2tt09twYntVZJLpzdDqq/oxNGdPjjv6h132erRWu8PNN998w2effUZ5eTlZWVkMHTqUsWPHkpW1A+6h0U4SboQQIpl2HJyqanRlRYeFHJQiomyCTphgCwXIKR+eavjKtok6UBut38pBRSLkfPEZeYsWkvOlW4gc6b8bVQcfQvWEiVjFXVeIDGA7mpWVmk+3OXxdrrE09MmEMX0MxvQx6JVZH1Y6Yj+tOEtblOrShB6eLWzX29FoTExmHP8gxdl9u+plaJUmw82f//xnlFJcc801+HyNFwpatmwZt956K19++WWj+3JycpgyZQqXXXYZGRkZHd/qHkrCjRBCpKZtG6e6Gl1RiW7tdgutYBu4Bch2HbYVaf3mnDHum7lRP3wVtqmLWNSErKStHIyaGnKXfkT+ogVkfbMKgOCwvag+eKJbiJyX12FfU2sELc2yMs0n2xzWVrtf85A8xZg+Bvv1VmT7UgxDWZpIWX3vTnh7E/tpxUNPwn5aDUV1lO16O9GAxdRjp2EaXbu+TkuanS2llOKTTz5p1Aszb948rrzySiKRpn+QlFIMHz6chx9+mN69e3d8y3sgCTdCCNE8bVluyKms6tCQ4xYg27EC5FCrCpAbqx++sm1FTa1FdW0EK2olvdf5SreTt3iRW4i8aaNbiLzvflQfHCtE7uI/6svDms+2O3yyzWFbCMx4fU4fgxGFCl+KcBKXcj+t7VF0fDuwFPtpZRTVB54druamqXBTUlLCSSedRF1dHT6fj8mTJ3PssccyYMAAotEoq1ev5sUXX2Tu3LkopRg1ahRPP/10m6aY7Wgk3AghROtoy8KprERX13RoyInvXB4kklYBcspTGQYWJrUhCNaFiQZtbMvGiRcla01gw3ryFi0kb8lC/OXlOBmZ1Bw4luqDD6Fu5D7QSTOOU9Fas7FW88l2zefb3fqc7Hh9Th/F4FzVqvfixP20EvfU8jYQNSGjt9u7U7hHHidcclyPe49PO9zcfvvtPP7442RnZ/Pggw9y4IEHpjzxiy++yI033ojjONx2222ceeaZnfMV9CASboQQIj06GsWpqsKpqoZW7COVjrYXIDegIIJBbRiiloOOghWysKN2/T6LjkPWqpXkLVpA7tKPYoXIBVSPm0D1wRMJ7zGkSwuRbUfzTaU74+qrMrc+p3dCfU7vzPTaoh1NpNJK2l4ivD2KE9Wc++/Tye/XszbITnvXrffffx+lFL/4xS+aDDYA//M//8PKlSt5+OGHefnll3eJcCOEECI9yu/H7N0bIy/PDTnVNR0WcgwNWdpHlplP1OfuZxW06nBsq+UHJ9IQwMGfAUGfolbZ+AIGfu0D2519ZYdtQnvvQ3Dk3mybeh45X3xO3qKFFMx9l6K33yTSfzd3ocAJBxPt2/lbD5mGYmSRYmSRQShen7Pd4Z0NDm9vcNgjVzGmWDG6t5GyPqchZSgyivxkFPnJ/4F7m9aaDH9Wjws20IZws2XLFgCOP/74Fo/98Y9/zMMPP8zq1avTb5kQQohdhgoEMPv0wcjPx6msxKmpAaeDVirRGr9WFJBJbiCLkI5QZ9dhWdG0enOUhmxDk5FtUmdpasMWjtIY2Sa+HD/KzsCO2FhhP3XjJlAzdhxGbS25Sz8ib9FCer84h94vziG45zCqD55Izbjx2Hn5HfM1NiPTpzior+KgvgYV8fqc7Q4vrNW8vM5hZKFiTLHByBbqcxpSSmEGunb9n9ZKO9xkZmYSjUYpKipq8dj4MVVVVem3TAghxC5HBQKYxcVuyIn35HTgcmymo8nBT46viLDPIuiECEaDaRUgm1qTZ0Jmjp+aiEMoYhGfWGVkGPizTDIcP44FVmaA2qOPpeqIo/CVlpK3xC1E7jtrJsWzZ1G3zyiqDj6E2gMO7JJC5MIMxVEDTY4cYLCpDj7d5vBZqcNX5TZZplufM6ZYsUcr63N6qrTDzT777MPixYv57rvvGD16dLPHrly5EoDCwsI2NU4IIcSuSWVkuCEnPlxVU9uxWz04DhkYZKgccjOyCWp3zRzLsVr9PH6tKQooQv4ANSGbiGXjaAdssLFRPoUvP2H4KieT6n7/Q8XJp+L//jvyFi8kb/Eidnvgc5yMDGrGjKX64InU7d35hchKKQbmwMAck5P2MFgdWz/nk+0Oi7dCr4z6+pw+WTteyGkx3DzxxBOMGTOGfffdl8zMTM444wwWLVrErFmzmg03juPwt7/9DaUU+++/f4c2WgghxK5BZWZiZmZi5IewKyrRdXUdG3K0xqchjwxy/ZmEVJQ6K0jEDje/07j3eMhEk5FlUGeZ1ISj2LHhNK11rODYBgVGtlE/fJU3gqphwyg/czIZK1d4hcj5ixZg5eVTPX4C1RMOITx0z04vRDaVYkShYkShQdh263M+3ebw7kaHdzY67J6rGNPHrc/J8e8YQafFcPPXv/4VANM0GTZsGPvuuy9+v58XX3yRUaNGMW3atEaP+fLLL/njH//I559/jlKKs846q+NbLoQQYpehMjPx9c/ECYVwKirQdcEO37RTaZ1UgBx0wtS1sgBZacgxNRk5fmqjmrqIhW5QM+Q4jreNgQoo/Jmx4avCA6nYfzSldT8h87NPyFu8kIJ571H0zltE+vWLFSJPJNqv8wuRM0zF2GLF2GKDyrDms1J3f6sX12le+c5hRKG7fs7IIoU/jfqcrtbkVPB77rmHr776iq+++ory8vL6B8QSpNYa0zT5/PPPk1YwPuywwygtLfWOOeWUU7yAtLOTqeBCCNE1nGDQXSenE0JOIttQhIlSa9W2vgBZQVQrqiMOoajVqmV2TNNEaSM2+8pGl1WS+dFi8hYtIGvlCpTWbiHyhEOoGTcBO7/zC5ETbap1p5V/tt2hOgqZJozurZg4OJtzTjusS9vSGq3aW2rz5s1e0Il/lJaWMmDAAN59992kYw8++GAqKioAOPPMM7n55pvx+/2d0vieRsKNEEJ0Laeuzg05wVCnhhwMRQSbOidMqLX7WRkQtBXV4eStHFp8mGFgKANlG9hRB72phOwPPyR30QIy1n+PNgzq9hlF9cGHUDNmbJeuiOxo7dbnbHdYVqaxHHj+miPoX9iz9pNs88aZJSUlbNq0iTFjxiTdfuONN1JQUMBpp53G3nvv3SGN3FFIuBFCiO7h1Na6IScU7tyQoxSW0u508mhtqwqQHQV1FtSGLa8ep/VP524JYTgG2gK+WUvW/PnkLlqAv6wUJxCIFSIfQt0+o7p0ReSwranUGZx16qE9bmZVu3cFF/Uk3AghRPdyamrqQ04n00oRVhZ1VpCwHW5xOrmlFDVRTTBSv1llurzhq6jG/OIrst6fT86SxZh1tVh5edSMm0DVwRO7pBAZeu7eUmlPBRdCCCF6KiM3F5WTg46HnHCk055LaU2mNsk087DMHOp0mKAVbHI/K5/WFPohyxegJuwQtlpXj5PIm31lgjN2b+yD9qUmfBGBJZ+QNXce+e/Po/Ddt4kU96X64Fghcv/+HfL17kgk3AghhNipKKVQeXmo3Fw35FRUoCPRzntCrfGhyCeTXH8m4YBFrVVH1Io0LkDWkIEmkKkI2gFqwhaW3bZuHG/2lQ/sQw8kfPhBVNcEyfhgCVnz3qfXKy/R++UXCQ0ZSvXBE6keNwG7oKADvuCeT4alOpAMSwkhRM+jtUZXV7shJ5rmvlJtpRQRZRN03MUBmypAtpWiLqqpjVg4HbXdBO7wlbm9nKx5C8ia9z6BdevcQuS9960vRM7MbPfzyLCUEEII0Q2UUqj8fLcnp7raHa7q7JCjNQFtEFDZ5GZkEdJRaq06LDuSVIBsak2eHzL99Vs5dESXg23b2EX5RE4/kepJJxNYv4msuR+QNW8+OQ/NwAkEqD3gQKrihci+nSsO7FxfjRBCCNEEZRioggJUXh5OVTW6sgJttX5PqTbRGlNDDn6yfYWx/ayChKyEAmQNfhpv5dBRHMchNLA/oalnUjHlx2SuWk323A/I+WAheUsWYeflUX3QeKoPnkhoz2FdUojc2XaYcLNy5UoefPBBFi9eTFlZGQUFBYwaNYopU6Zw5JFHtvm8ixcv5oknnuCTTz6hoqKC/Px8xowZw7nnnsthh/W8hYmEEEK0jzIMzMICdF4uTnU1urKy80MOsQJkTDKNPKxALkHC1EXr6guQY1s5BGJbOdQmbOXQUbRSBEf8gOCIH8DPziPn8y/JnvsBBR/Op/C9d4gW96V6wsFUTTiE6G4DOvS5u9IOUXPzzjvvcNVVVxGNpi4ImzJlCjfffHNa53Qchz/+8Y88/vjjTR4zefJkbr75ZsxWrhsgNTdCCLHj0baNU1WFrqxC250fchI5CsLKotYKErXCSQXIllJNbuXQ0VRdHTlLlpIz9wMCX36FchzCQ4dSPeEQqg6agN3EBtg9teamx4eb5cuXc+655xIKhdh33335zW9+w/Dhw9m0aRP//ve/efPNNwF38cALLrig1ef9+9//zj//+U8Ahg4dyrXXXsvYsWOpqanhpZde4l//+heWZfHjH/+YO+64o1XnlHAjhBA7Lm1Zbsipqu7ykNNkAbKCiFZuPU4rt3JoL7OsnOwPFpLz/ocE1qxFGwahfdxC5KoDDkRn1q9GvFOEm++++4499tgjrSdYt24dN910U7M9JM255JJLmDt3LoMGDeLFF18kNzfXu09rzdVXX83rr79Ofn4+77zzDvmt2G9j48aNnHDCCUSjUfbaay+efPLJRo979dVXueaaawCYOXMm48ePb/G8Em6EEGLHpy0Lp7ISp6oaWrMzeAezDUVIR6i167CtiDvbS0HQUe7U8TS2cmgv3/qN5Mz/kJz3F+Ar2YoTCBAaO5aqCROp2WdfMnPzemS4MdI5+Pzzz+f7779v1bGO4zBjxgxOP/10li5d2qbGrVmzhrlz5wJw0UUXJQUbcCvgb7jhBgzDoKqqitdee61V53311Ve9Ia7f//73KQPRySefzLhx4wB44IEH2tR+IYQQOx7l82H27o1v0ECMgnww0nqrbDfT0eRoP8VmIUUZvckK5GAok2yl6Z3lIz/Lj9FFO3JbgwdSOeVsNv3rHrbc+QdqjzmSjGXL6P+3vzL02qvoNes/6CZKRrpTWt+xkpKSVgWcFStWcOaZZ3LPPfcQCoXa3Lj58+d7l48++uiUx+y2227eHlZvvfVWq8771VdfAVBUVMSECROaPC5eULxo0SIikc5b5VIIIUTPo/x+zD598A0cEAs5XTuLyF0B2aDIyKU40Iu8zAICho9cU9Enx092hq/rJjYpRWTkcMov+SkbH57O1ht/TWj/UQSWfoRTWtpFjWi9tMJNfn5+swEnEolw9913c+aZZ/L111+jtWbIkCE8+uijbWrc119/DUBxcTH9+vVr8rh99tkHqA8tLamsrARgwIDmK8F79eoFuF/X2rVrW3VuIYQQOxcVCLghZ8AAjPy8rp8qrTU+rcjTGfT196Ioq4hsXyZFmSZFOQECvq7bLBMAn4/QuAMpvfYKtj84HbMHbu+QVrj5z3/+Q1FREVu2bGkUcJYuXcr//M//8MADD2BZFj6fj8suu4yXXnqp2d6R5mzcuBGAQYMGNXtcPKSUlZVRV1fX4nlzcnIAqK2tbfa4eAgC2LJlS4vnFUIIsfNSGRmYxcX4BuyGkZfbLevBKK3Jcnz0MfPpE+hN74w8+uZmUJgdwNfFw2c9WVqvxMiRI5k5cyb9+vXzAs5XX33FLbfcwnnnnce6devQWjNu3DheeuklrrjiCgKBQJsbV15eDtBikXBeXp53uaqqqsXzDh8+HHALpOMBKpXFixd7l1sKQkIIIXYNKjMTs29fN+Tkdk/IQWv8jqKATIr9vRiQU8RuBbnkZWWgunj4rCdKO+YNGzaMxx9/nIEDB7JlyxbOPPNMnnrqKRzHoaCggDvuuIOZM2cydOjQdjcuHHa3rM9sYf+LxPvjj2nOCSecgFIKrTW33XZbbJfVZB988AEffPCBd11qboQQQiRSmZmY/fpiDtgNlZPTbSv7mo4m2/HRz1fAkLze7F7Ui9ysjJ1hoeE2a1Mf1uDBg5k1axZDhgwhPpP8iCOO4LXXXmPSpEkd1rjWLp6XrhEjRnjtfO+99/jpT3/KokWLqKioYP369cyYMYNLL72Uvn37eo9pqgdq9uzZTJo0iUmTJnk9TUIIIXYdRmYmvv79YiEnu/u2L3AcMmxFscpir7xihvTqS05WNmoXTDlt3n6hX79+zJo1i5/+9KesXLmSr776irKyMoqKijqscVlZ7kJBLfXGJM7IaqmXJ+7mm2+mvLycd999l8WLFycNQYG7sN/NN9/MT37yEwCys7NTnmfy5MlMnjwZoEODnRBCiB2LkZmJ0b8/TjDo7kAeDNEhu2CmS2t8NvTGT2Fub8qzLLYHq6kLB5vcnXxn02S4ufvuu1t1gv33359Vq1ZRVlbGBRdc0OQb/K9+9au0Gxevpamurm72uMQ6m9aGq4yMDP75z3/y8ssv88wzz7B8+XIcx2H33XfnlFNO4bzzzuObb77xji8uLk67/UIIIXY9RlYWRlYWTm2tuwN5KNw9IQcwHYc+yqAwtxcVGRYVkTpqIzVErU7eFb2bNRluZsyYkXZXVmlpaZML3rUl3AwdOpQlS5awefPmZo+L319cXJxWAbNSitNOO43TTjst5f0rVqzwjhsyZEirzyuEEEIYOTkYOTk4NTX1Iaeb+BybPj6DPDOPSl8ONdEgQbuOsBXB6YZVmDtbs8NS3b3t1IgRIwA3vJSXlzfZK7N8+XIAbzG/1tBaU15e7q1lk0q8oPgHP/iBN31cCCGESIeRm4vKyUEn9uR0B63JQFMcUOT4cqgKZxI2I4SdEHVWKLY7+c6hyXAT77XoTkcccQTgBpG5c+dyxhlnNDpm8+bN3mJ/Rx55ZKvOu3DhQi666CKi0Sgvv/yyNzU80bZt25g3bx4Axx13XFu/BCGEEAKlFCoecuI9OeHumYWrtCZHaTKzTGqtTKrDPrL82UQCEeqidUTtaLd3brRXj17xZ/Dgwd7+TtOnT09aVC/urrvuwnEcCgsLU4afVPbdd19vyO2JJ55odL/jONxyyy2EQiGysrI499xz2/FVCCGEEC6lFEZeHubAgZjFfVABf7e1xdQO+aamb46PHL+PDDtAkVlIr8xe5GRkYxpdvPJxB+rR4QbgxhtvxDRN1q9fz9SpU5k/fz5lZWUsX76cK6+80tss89JLL200dHTiiSdy4okn8pvf/Cbp9vz8fG+G01NPPcWf/vQn1qxZQ1lZGQsXLuQnP/mJt0/VddddlzQlXAghhGgvpRRGfn59yPG3efJyu/m1pneGQZ+8DAKmiWkZ5JJL74xeFGQV4Pf5d7jp5Eq3oe+ptraWDz74gCOPPDJp6vVjjz3GY489xtatWxk0aBDnnXceU6dObXcjX3jhBX77299iNVHdfd5553HTTTc1uj1eszN+/HhmzpyZdF8oFOLiiy9uNAU8zjAMrrzySn75y1+2up2TJk1izpw5rT5eCCGEANCOg66udqeQW903XVsrRa2tqAxGvQVulamwlEWdHSRshZMKkAOBDMYeML67mtuktKPiO++8w29/+1sqKyt5/vnnGTlyJAAPPfQQf/nLXwC3RmbdunXcfvvtrF69mptvvrldjTz99NPZZ599eOihh1i0aBGlpaVkZWUxatQozj33XI4//vi0z5mZmckjjzzC008/zYsvvsiqVauIRCIUFxczYcIEzj//fG9DTiGEEKIzKcNAFRSgcnNxqqvRlZXdEnKU1uQamsxcPzVRH9WhKNp2MDHJN/KxAzZhHSZoBbF6cAFyWj0369ev5+STTyYajQLwz3/+k2OOOYZQKMShhx5KbW0tBQUFnHbaaaxYsYKPPvoIpRSPPfYY48f3vGTX0aTnRgghREfQto1TVYWurEKn2CKoSyhFRCuqwjbBiOUVGSul0AZEVZSwirL/qDHd075mpFVzM3PmTKLRKH369OGxxx7jmGOOAWDevHnU1tailOLuu+/mt7/9LTNnzuSEE05Aa82zzz7bKY0XQgghdkbKNDGLijAHDcQoKkR10nZEzdKaAA59Mg365AYI+M3YzRpsjd/yUaCa39i6u6QVbhYtWoRSiuuuu44JEyZ4t8+dOxdwF9E79NBDvdt/+tOfAvDxxx93QFOFEEKIXYvy+TB79XJDTmFBt4WcLKXpm+2jMCcD06yPDtrpmVPG0wo38ZWAGw4xLViwAKVUUrAB2H333QF35WIhhBBCtI3y+TB798YcOACjIB+Mrp/sbGhNvqnplxsgNyuAMnruDKq0CoqDwSDg7ssUt3r1akpKSlBKccghhyQdX1dXB7DDTSETQggheiLl92P26YORn49TVYVTXQ1d3Hvi0w69AopsfwbV0S596lZLK/r16dMHgI0bN3q3vf/++4AbYCZOnJh0/LJlywBknRghhBCiA6lAALNPH3wDB2Lk50FX96JoTSYOfTJ7ZudFWuHmwAMPBOA///kP4K5389RTT6GUYvTo0V74ASgvL+e+++5DKeU9TgghhBAdRwUCmMXF+AYMwMjLhS4eKVE9dJuGtIalzjzzTF599VVeeeUVvvjiC+rq6ti2bRtKKc455xzvuL/+9a+8+OKLbN26FcMwmDJlSoc3XAghhBAulZGB2bcvRn4Ip7IKp7YWemjw6App9dxMnDiRSy+9FK013333Hdu2bQPghz/8Iaeffrp33GuvvcbWrVsBuOaaaxg9enTHtVgIIYQQKanMTMx+ffEN2A2Vk9PlPTk9RdorFF955ZUcccQRvPnmm0QiEcaNG9doheC9996bIUOG8POf/5yDDz64wxorhBBCiJapzEx8/TNxQiF3S4e64C7Vk9OmvaVEarJCsRBCiJ7ICQbdkBMMdWzIMQz8Q4d03Pk6SPdtQyqEEEKILmFkZWFkZeHU1eFUVnZ8yOlh2hxuIpEIFRUV2LZNw84fx3GIRqPU1tby3Xff8cYbb3Dvvfe2u7FCCCGEaDsjOxsjOxunttYNOaHwThly0g43K1as4E9/+hMfffRR0rbnQgghhNgxGDk5qOxsdGLI2YmkFW5KSkq44IILqKqqatRb05yBAwem3TAhhBBCdB6lFCo3F5WTg66pcUNOONLdzeoQaYWbmTNnUllZiVKKww8/nPHjx/Ptt9/y/PPPc8QRR3DkkUdSXl7OwoULWbp0KUopfvGLX3DVVVd1VvuFEEII0Q5KKVReHio31w05FRXoSA/dV6GV0lrnJr5B5sknn8wDDzzARRddxMUXXwy4qxVPnTqVyy+/nCeeeILf/e53aK159NFHk7ZrEEIIIUTPo5TCyMvDHDQIs7gPyr/jzjlKK9zEQ8rUqVO924YOHUpOTg5ffvkllmV5t0+dOpWTTjqJYDDIE0880UHNFUIIIURnUkph5Oe7IadP7x0y5KQVbmprawHYfffdk27fa6+9iEajrFmzJun2yZMnA7Bw4cL2tFEIIYQQXUwZBkZBAeagQRi9e6N8Znc3qdXSCjc5OTkAjWZJDR48GKBRuNlrr70A2LBhQ5sbKIQQQojuowwDszAecnqhzJ4fctIKN/FZT99++23S7bvvvjtaa7755puk2+PDVMFgsD1tFEIIIUQ3U6aJWViIOXgQRq+iHh1y0go348aNQ2vNAw88QDRaX0kd76GZN29e0vFLliwB6nt8hBBCCLFjU6aJWVSEOWggRkF+dzcnpbTCzeTJkzEMgwULFjBp0iRef/11AA455BB8Ph9ff/01t99+O2vWrOGNN97grrvuQinFqFGjOqXxQgghhOgeyufD7NWru5uRUpPhZtOmTWzatCnptj333JPLLrsMrTWrV6/2emqKioo4++yz0VrzxBNPcOqpp3L11VdTWloKwLnnntuJX4IQQgghRL0m53cdc8wxGIbB0qVLycrK8m6/7LLLGDZsGA899JBXSAxwww03UFJSwjvvvOPdppTikksu4bjjjuuk5gshhBBCJGt28npTWyyceOKJnHjiiUn3BwIBpk+fzqeffsqnn36KaZocdthhDBs2rGNbLIQQQgjRjHatzKOUanTbmDFjGDNmTHtOK4QQQgjRZmkVFAshhBBC9HQSboQQQgixU5FwI4QQQoidSos1N/fffz9+v7/dT3T55Ze3+xxCCCGEEC1pMdzMmDGjQ55Iwo0QQgghukKL4aap6eDpSDWrSgghhBCiM7QYbv773/+SmZnZFW0RQgghhGi3FsPNgAEDklYoFkIIIYToyWS2lBBCCCF2KhJuhBBCCLFTkXAjhBBCiJ2KhBshhBBC7FSaLCgeN24cAKZpdlljhBBCCCHaq8lwM3PmzK5shxBCCCFEh2hyWOqNN97o9Cd/6623Ov05hBBCCLFraTLcXHXVVZx33nl89dVXHf6ky5Yt42c/+xlXXnllh59bCCGEELu2JsPN5ZdfzqeffsqZZ57JlVdeydKlS9v9ZPPnz+eiiy7irLPOYsmSJVx11VXtPqcQQgghRCKlm9k86vPPP+d3v/sdq1atQinFkCFDOOGEEzj88MPZb7/9CAQCzZ48HA6zdOlS3n//fV5//XVKSkrQWjN8+HD+/Oc/M3LkyA7/grrTpEmTmDNnTnc3QwghhNilNRtuAGzbZtasWdx///2UlpZ6m2Capskee+zBnnvuSUFBAbm5uRiGQTAYpKSkhPXr17N27Vps2wbcDTgHDx7MxRdfzBlnnIHP1+LODzscCTdCCCFE92sx3MSFQiGee+45Zs+ezapVq+pP0MSO34mnHTVqFNOmTeNHP/rRTj21XMKNEEII0f1aHW4SrVmzhvfff5/PP/+cNWvWUFJSQl1dHQA5OTnstttuDBs2jAMPPJDDDjuMPfbYo8Mb3hNJuBFCCCG6X5vGhoYNG8awYcM6ui1CCCGEEO0m2y8IIYQQYqci4UYIIYQQOxUJN0IIIYTYqUi4EUIIIcRORcKNEEIIIXYqEm6EEEIIsVORcCOEEEKInYqEGyGEEELsVNIKN9OnT+epp56ipqams9ojhBBCCNEuaa1Q/Nxzz7F582YCgQCTJk3qrDYJIYQQQrRZWj0327dvB+Dwww/vlMYIIYQQQrRXWuGmT58+AJSWlnZKY4QQQggh2iutcHPhhReiteaWW26hoqKik5okhBBCCNF2adXcTJw4kSlTpjBr1iyOPvpoJkyYwN57701RUREZGRnNPnby5MntaqgQQgghRGsorbVu7cF77723d1lrjVKqdU+iFMuXL0+/dTuYSZMmMWfOnO5uhhBCCLFLS6vnpmEOSiMXCSGEEEJ0ibTCzTvvvNNZ7RBCCCGE6BBphZuBAwd2VjuEEEIIITqEbL8ghBBCiJ1KWj03idasWcOTTz7JRx99xObNm6mrqyMrK4sBAwYwZswYzjzzTEaNGtWRbRVCCCGEaFFas6Xi/va3vzFjxgy01imLipVSKKW46KKLuPrqq1s9q2pHJ7OlhBBCiO6Xds/NX/7yFx566CG01vh8PsaMGcOwYcPIysqitraWNWvW8Nlnn2HbNjNmzADgmmuu6fCGCyGEEEKkkla4WbZsGQ899BAAhx12GLfffjv9+/dvdNyWLVv4wx/+wNy5c3nggQc48cQTk9bIEUIIIYToLGkVFD/xxBNorTnggAP497//nTLYAPTv35/p06czduxYtNY8/fTTHdJYIYQQQoiWpNVzs2TJEpRSXHHFFZim2eyxpmly2WWX8bOf/YzFixe3q5ErV67kwQcfZPHixZSVlVFQUMCoUaOYMmUKRx55ZJvPu2bNGh555BEWLlzI1q1b8fv9DBkyhB/+8Iecd9555ObmtqvdQgghhOh6aRUUjx49mmg0ysKFCyksLGzx+IqKCg4++GCysrL49NNP29TAd955h6uuuopoNJry/ilTpnDzzTenfd6XX36ZG2+8kUgkkvL+wYMH89BDD7HHHnu0+pxSUCyEEEJ0v7SGpQKBAAB1dXWtOj5+nM/Xthnny5cv51e/+hXRaJR9992Xxx57jIULF/Lcc89x/PHHAzBr1iwee+yxtM779ddfc8MNNxCJROjXrx//93//x7x583j11Ve59NJL8fv9rF+/nl/84hdNhh8hhBBC9ExphZshQ4YAMHfu3FYd/9577wFuL0hb/P3vfycUCjFo0CD+85//cPDBB9OrVy9GjRrFvffey4knngjAfffdR1VVVavP+9BDD2FZFllZWTz66KOcdtpp9O/fn2HDhnHVVVdxww03APDtt9/yxhtvtKntQgghhOgeaYWbo446Cq01//jHP/j++++bPfa7777jvvvuQynFUUcdlXbD1qxZ44Woiy66qFH9i1KKG264AcMwqKqq4rXXXmv1ub/88ksAxo0bx5577tno/rPOOsvrbfr888/TbrsQQgghuk9a4Wbq1KkUFhZSUVHBmWeeySOPPMLGjRuTjtm4cSMPP/wwZ511FuXl5eTl5XHeeeel3bD58+d7l48++uiUx+y2227eFPO33nqr1eeOLypoWVaT98ePaalwWgghhBA9S1rFMEVFRfzlL3/h8ssvp6qqij//+c/8+c9/JiMjg+zsbOrq6giHwwBorfH7/dx9990UFRWl3bCvv/4agOLiYvr169fkcfvssw9fffUVX331VavPPXr0aNauXcsnn3zCunXrvOG2uJdfftkrYD7ooIPSbrsQQgghuk/aG2cedthh/Oc//2H06NHe9guhUIiysjJCoZB326hRo5g1axaHHXZYmxoW7xEaNGhQs8cNGDAAgLKyslYXOl9yySXk5+cTCoX42c9+xquvvsqWLVtYt24dM2bM4NZbbwXg8MMP57jjjmtT+4UQQgjRPdo0jWn06NE8/fTTrFixgsWLF7NlyxZqamrIzs5m4MCBHHTQQeyzzz7talh5eTkA+fn5zR6Xl5fnXa6qqiI7O7vFcw8bNozHH3+c22+/nSVLljTaHiI7O5srrriCiy++eJfZF0sIIYTYWaQVbqZPn07v3r059dRTyc3NZeTIkYwcObJTGhYf3srMzGz2uMT7449pjcrKSnJyclBKNdr8MxgMsmzZMtauXcuIESOaPc/s2bOZPXs2UB/IhBBCCNF90go3zz33HJs3byYQCDBp0qTOahPQuYW8s2fP5g9/+AOO43Dsscfyi1/8gpEjR1JXV8eCBQu45557eO+99/j444954IEHGDNmTJPnmjx5MpMnTwbo9NdECCGEEC1Lq+Zm+/btgFuL0tmysrKAlntjQqGQd7mlXh6A9evXc9ttt+E4DpMmTeKf//wno0ePJhAIUFhYyMknn8wzzzzDkCFDqK6u5sYbb8S27fZ9MUIIIYToMmmFmz59+gBQWlraKY1JFK+lqa6ubva4xMX7WjMr65lnniEajeL3+7n++utTHlNYWOjV4Xz77bcsWrSotc0WQgghRDdLK9xceOGFaK255ZZbqKio6KQmuYYOHQrA5s2bmz0ufn9xcbG3PURzvv32W+/8ze2PNX78+EaPEUIIIUTPl1bNzcSJE5kyZQqzZs3i6KOPZsKECey9994UFRWRkZHR7GPjdSmtFS/k3bx5M+Xl5U32yixfvhzAW8yvJfH1a9LZM6qpTTuFEEII0fOkFW5OPvlkwF3BNxgMMm/ePObNm9fi45RSaYebI444AnAXA5w7dy5nnHFGo2M2b97sLfZ35JFHtuq8Q4cOZe7cuXz//fds3LiRgQMHpjzu448/9i4PGzYsrbYLIYQQovukNSwVX6AvPnU68XpLH+kaPHgw48aNA9wp6JWVlY2Oueuuu3Ach8LCwpThJ5VTTjkFAMdxuP3221MWC1dVVXH33XcD7nDXwQcfnHb7hRBCCNE90uq5eeeddzqrHSndeOONnHnmmaxfv56pU6dy/fXXs++++7Jlyxbuv/9+b8fuSy+9lJycnKTHxncMHz16NH/+85+92/fbbz8mT57M7Nmzeffdd5k2bRoXX3wxo0aNQmvNRx99xL333su6detQSvHb3/62xSE3IYQQQvQcSqfRrbJ+/XoGDRrUpav2vvDCC/z2t79tcpPL8847j5tuuqnR7fGanfHjxzNz5syk+yzL4ne/+x1z5sxp8nn9fj+///3vOfvss1vd1kmTJjV7TiGEEEJ0vrR6bn7961+zZcsWfv/733Psscd2VpuSnH766eyzzz489NBDLFq0iNLSUrKyshg1ahTnnnsuxx9/fNrn9Pl83HnnnZxxxhnMnj2bTz75hO3bt+Pz+RgwYACHHHII559/PrvvvnsnfEVCCCGE6Exp9dyMGzeOmpoannvuuXbvHbUzkp4bIYQQovulVVAcHxrq169fpzRGCCGEEKK90go38dlLr7/+eqc0RgghhBCivdIKN7feeiuDBw/mzjvv5K9//StfffWV7LskhBBCiB4lrZqba6+9lqqqKubPn+/NmFJKkZub2+zWB0op5s+f3/7W9nBScyOEEEJ0v7RmS/33v//1Qk3iQn6Jm1em0pVTx4UQQgixa0sr3Jx++ukSVIQQQgjRo6UVbv70pz91VjuEEEIIITpEWgXFQgghhBA9nYQbIYQQQuxUmgw39913H/fdd1+Tezq1RjAYZNy4cUyYMKHN5xBCCCGESEeTNTf33XcfSikuvPBCfL7Gh4XDYS666CKUUjz22GMpz6G1prq6WoqQhRBCCNFl0iooTmTbNkuWLJHgIoQQQogeRWpuhBBCCLFTkXAjhBBCiJ2KhBshhBBC7FQk3AghhBBipyLhRgghhBA7FQk3QgghhNipSLgRQgghxE5Fwo0QQgghdioSboQQQgixU2lxheKbb74Z0zQb3W7btnf5f//3f1M+NvEYIYQQQoiu0GK4efnll5u8L771wgsvvNBhDRJCCCGEaI9mw43WuqvaIYQQQgjRIZoMNytWrOjKdgghhBBCdAgpKBZCCCHETkXCjRBCCCF2KhJuhBBCCLFTkXAjhBBCiJ2KhBshhBBC7FQk3AghhBBipyLhRgghhBA7FQk3QgghhNipSLgRQgghxE5Fwo0QQgghdiotbpzZEsuycBynxeMCgUB7n0oIIYQQokVph5uamhoeeOABXn/9dTZu3Iht2y0+RinF8uXL29RAIYQQQoh0pBVuQqEQ06ZNY+XKlYDsGi6EEEKInietcDNz5kxvt/B+/foxceJEiouLZchJCCGEED1GWuHmtddeQynF+PHjmTFjBhkZGZ3VLiGEEEKINklrttTatWsBuOaaayTYCCGEEKJHSivcmKYJwNChQzulMUIIIYQQ7ZVWuBkyZAgAJSUlndEWIYQQQoh2SyvcnHrqqWitefrppzurPUIIIYQQ7ZJWuJk2bRr77rsvs2bN4tFHHyUajXZWu4QQQggh2kTpNBarmT17NtXV1UyfPp1QKERubi4jR46kqKgIv9/f7GP/+te/truxPd2kSZOYM2dOdzdDCCGE2KWlFW5GjhyJUgqoX8Avfr0pWmuUUnz99dftaOaOQcKNEEII0f3SWudmwIABndUOIYQQQogOkVa4effddzurHUIIIYQQHSKtgmIhhBBCiJ4u7V3BG6qsrGTz5s3U1dWRnZ3NgAEDyM/P74i2CSGEEEKkrU3hxnEcnnnmGZ544gm++eabRvcPHTqUs88+m/PPPx/DkM4hIYQQQnSdtGZLAVRXV3PZZZfx0UcfAfWzphqdWCnGjh3L9OnTKSgoaH9LdwAyW0oIIYTofmn33Fx99dUsWbIEgD333JOTTjqJYcOGkZ2dTW1tLatXr+bNN99kzZo1LF26lOuvv57777+/wxsuhBBCCJFKWuHmjTfe4MMPP0QpxRVXXMEvf/nLlOvcXHXVVcyYMYO7776befPmMW/ePI488sgOa7QQQgghRFPSKoh5/vnnUUpx+umnc+mllza7gN/FF1/MmWeeidaaZ599tt0NFUIIIYRojbTCzbJlywB3j6nWmDJlCgDLly9Ps1lCCCGEEG2TVripqKgAYPDgwa06ftCgQQBs27YtvVYJIYQQQrRRWuEmNzcXgK1bt7bq+PhxOTk5aTZLCCGEEKJt0go3e++9NwAvvPBCq45//vnnARgxYkR6rRJCCCGEaKO0ws3JJ5+M1ppHH32U119/vdljX3vtNR577DGUUpx00kntaqQQQgghRGultYhfNBrlxz/+MatWrUIpxZFHHskJJ5zAsGHDyMnJoba2ljVr1vDGG28wb948tNb84Ac/4Pnnn8fna/dODz2eLOInhBBCdL+0Vyhev349F154Id9//32zU8G11gwaNIhHHnmk1QXIOzoJN0IIIUT3S3vjp8GDB/Pss89y4YUXkp+fj9a60UdeXh4/+9nPeP7553eZYCOEEEKIniHtnptEWmtWrlzJ5s2bqampITs7m4EDBzJixIhme3V2VtJzI4QQQnS/dhXCKKUYOXIkI0eO7Kj2CCGEEEK0S9rDUkIIIYQQPVmTPTeHHXYY4NbYPPnkk0m3pUspxfz589v0WCGEEEKIdDQZbrZv3w4kry4cvy1du2L9jRBCCCG6R5Ph5owzzgCgd+/ejW4TQgghhOip2jVbSiST2VJCCCFE9+v0ZYNLSkrYuHEjBx54YJvPsXLlSh588EEWL15MWVkZBQUFjBo1iilTpnDkkUemda5//OMf3HfffWk95vLLL+eKK65I6zFCCCGE6B5phZuRI0diGAZLly4lKyurxePLyso48sgj6devH/PmzWtTA9955x2uuuoqotGod9v27duZO3cuc+fOZcqUKdx8881tOndrxXdDF0IIIUTPl3bPTTqjWJFIBHBDTlssX76cX/3qV0SjUfbdd19+85vfMHz4cDZt2sS///1v3nzzTWbNmsWQIUO44IILWnXOSy65hJ/97GfNHrNhwwamTp1KdXU1EyZMYNq0aW1qvxBCCCG6Xspw4zgODz74oBdOGrr//vvx+/3NnjgajfL+++8DUFBQ0KbG/f3vfycUCjFo0CD+85//eD0ovXr14t577+Xqq6/m9ddf57777uOMM84gPz+/xXMGAgECgUCT90ciEa6//nqqq6vp27cvf/vb31r8WoUQQgjRc6QMN4ZhUF1dzYMPPtjoPq01M2bMaPUTKKU45phj0m7YmjVrmDt3LgAXXXRRo6EhpRQ33HADb775JlVVVbz22mtMnjw57edp6N577+Xrr78G4I477qBXr17tPqcQQgghuk6TKxRfeumlFBcXJ22IqZRCKZVys8yGH6Zp0rt3b0477TSuv/76tBuWuOjf0UcfnfKY3Xbbjb333huAt956K+3naGjFihU88sgjgDvz6fDDD2/3OYUQQgjRtZqsucnKyvKGleJGjhyJUopPP/20VQXF7RHvPSkuLqZfv35NHrfPPvvw1Vdf8dVXX7X7Of/4xz9iWRZ5eXn8+te/bvf5hBBCCNH10iooHjduHACmaXZKYxJt3LgRgEGDBjV73IABAwC3aLmuro7s7Ow2Pd/cuXNZsmQJ4A6DJS5eKIQQQogdR1rhZubMmZ3VjkbKy8sBWiwSzsvL8y5XVVW1Odw88MADgFv8PHXq1DadQwghhBDdr9MX8bNtm/fff7/JupmmhMNhADIzM5s9LvH++GPS9cUXX/Dxxx8DMG3atLTWtZk9ezazZ88G6gOZEEIIIbpPm9a5eemll5g/fz7l5eVYltVo7RutNdFolNraWjZs2EA4HGb58uVpPU9XDH3FxYuIs7OzOf/889N67OTJk71ZWpMmTerwtgkhhBAiPWmFG9u2ueiii1i4cGGj++KzqRreBm3bFTxesNxSb0woFPIut9TLk0ptbS3vvPMOAMcddxyFhYVpn0MIIYQQPUda4eaFF15gwYIFAPj9fgYPHkw4HGbjxo0MGDCAoqIiysvL2bRpE+CGmpNPPrlN68/Ea2mqq6ubPa6qqsq7XFRUlPbzzJs3zwtQp556atqPF0IIIUTP0uQ6N6m8/vrrAOy555689dZbvPrqq9x5550AHHDAATz33HO8++67vPnmm4wbNw6tNd988w0HHHBA2g0bOnQoAJs3b272uPj9xcXFza483JQ33ngDcFc9PvTQQ9N+vBBCCCF6lrTCzddff41Sissvv5z+/fsDsP/+++Pz+Vi8eLF33O67784DDzzA0KFD+eabb3jxxRfTbtiIESMAN7w0V6gbr+WJL+aXDsdx+PDDDwF3oUCfr9Prq4UQQgjRydIKN5WVlQCMGjXKuy0jI4Pdd9+dsrKypF6WzMxMLrzwQrTWvPrqq2k37IgjjgDcup34NgwNbd682Vvs78gjj0z7OVatWuUNe40ZMybtxwshhBCi50kr3MR7NhquPbPHHnsA7n5QiSZMmADAN998k3bDBg8e7C0aOH36dC9YJbrrrrtwHIfCwkLOOOOMtJ9j2bJl3uX99tsv7ccLIYQQoudJK9zEV+3dtm1b0u277747AKtXr066Pb5eTKpg0ho33ngjpmmyfv16pk6dyvz58ykrK2P58uVceeWVvPbaa4C7D1ZOTk7SY0888UROPPFEfvOb3zR5/sQwNmTIkDa1UQghhBA9S1pFJqNHj2bjxv9v776jorjeBo5/lyaKKKiIvbsq9lgSu8beETX2qLHHElts0RiNJmqKLbHFjg2NYldUsEbUmJ9dbFhQxIpKU1hg3j84Oy8rLOxSBPX5nMM5y8yde+/u7Ow+e+eWQPbv30/p0qXV7cWKFUNRFC5cuGCQ/u7du0DK56xxcXHhp59+4rvvvuPmzZv0798/QZpevXrRu3fvBNvv3LkDxHU0Nka/xIONjU2KhpELIYQQIvMxq+WmefPmKIrC0qVLWbp0qToMW99f5dChQ1y8eBGAqKgoFi5cCPx/y05KuLq64unpiaurK/ny5cPa2pocOXJQu3ZtFi5cyOTJk1Oct76/TXJLPAghhBDi/aFR3p5eOAmKotCtWzfOnz+PRqOhWbNmzJ8/H4DOnTtz6dIlrKysKFeuHIGBgeoop6+//prhw4enzzPIRNzc3Ni2bVtGV0MIIYT4qJnVcqPRaFi8eDENGjRAURQKFiyo7psxYwY5cuQgOjqay5cvExwcjKIolCpVKtHbSUIIIYQQ6cGslpv4/P39iYmJQavVqtsCAwNZsmQJ58+fx9LSknr16jFw4ECDlbs/ZNJyI4QQQmS8FAc3IiEJboQQQoiMl65T8up0OpYuXYpGo2Ho0KHpWZQQQgghBGBmn5uyZctStWpVk2cc1ul0/PHHH/zxxx8pqpwQQgghhLnMCm4AXr9+zZgxY5g7d2561EcIIYQQIlXMDm40Gg2KorBs2TK+/vprwsPD06NeQgghhBApYnZwA9C1a1cUReHw4cN07dqV+/fvp3W9hBBCCCFSJEXBzfjx45kxYwaWlpbcunWLTp064evrm9Z1E0IIIYQwW4qCG4BOnTqxatUqHBwcePXqFQMGDMDd3T0t6yaEEEIIYbYUBzcANWrUYPPmzZQsWZLo6Gh++uknJk+ejE6nA1K+YKYQQgghREqlKrgBKFy4MB4eHtSvXx9FUdi6dSu9e/cmODiYLFmyoNFo0qKeQgghhBAmSXVwA5A9e3aWLFnCl19+iaIonDt3js6dO+Pv74+trW1aFCGEEEIIYZI0CW4ALCwsmDRpEj/++COWlpY8fPiQbt26ER0dnVZFCCGEEEIkK82CG73OnTuzcuVKcubMSUhIiNr/RgghhBDiXTAruClQoAAFChTAwiLpw2rWrMmWLVsoWbJkqionhBBCCGEusxbO9PHxMTmtvqPxoUOHkIXHhRBCCPGupOuq4NmzZ8fV1TU9ixBCCCGEMGA0uDlx4gQAWbNmpVq1agbbUqJu3bopPlYIIYQQwlRGg5v+/fuj0WgoUqQIXl5eBtvMpdFouHr1asprKYQQQghhoiRvSyXWV0b6zwghhBAiMzMa3KxduxbAYBI+/TYhhBBCiMzKaHBTs2ZNk7YJIYQQQmQmaT6JnxBCCCFERpLgRgghhBAfFKO3pdJy6LZGo+H48eNplp8QQgghhDFGg5tnz56lWSEpGT4uhBBCCJESRoObDh06vMt6CCGEEEKkCaPBzc8///wu6yGEEEIIkSakQ7EQQgghPijvJLi5cePGuyhGCCGEECJlq4KfPXuW48eP8+LFC6KjoxMsyaAoCjqdjvDwcO7evUtAQICsLSWEEEKId8Ls4GbSpEl4enqanF5RFBktJYQQQoh3xqzg5uDBg2zbtk3939bWFktLS8LDw7Gzs8Pa2prQ0FBiYmKAuCHg9erVo1WrVmlbayGEEEIII8zqc7Njxw4AnJ2d2bx5M+fPn2fevHkANG/enFOnTnHx4kVWrVpFyZIlAXjz5g2urq5pWmkhhBBCCGPMCm4uXbqERqNh2LBhVKpUCYBPPvkEjUaDr68vAJaWltSqVQt3d3fy5s3L2bNn2bdvX9rXXAghhBAiEWYFNy9fvgSgWrVq6jY7OzsKFSrEo0ePeP78ubo9V65c9OvXD0VR2LlzZ9rUVgghhBAiGWYFN/qOwblz5zbYXrx4cQBu3rxpsL1evXoAXLt2LcUVFEIIIYQwh1nBjaOjIwDBwcEG24sUKQKAv7+/SemFEEIIIdKLWcGNi4sLAEePHjXYXqRIERRF4dKlSwbbg4KCAFk4UwghhBDvjlnBTePGjVEUhfnz57N7925iY2MBqFy5MhA3VPz+/ftq+uXLlwOQP3/+tKqvEEIIIUSSzApu2rVrR9GiRXn9+jXffvst3377LRAX3BQrVoyIiAjc3NwYOXIk7dq1Y+/evWg0Gho2bJgedRdCCCGESMCs4MbKyorly5dTpkwZFEUhT5486r7p06djZWVFaGgoXl5e3Lx5E0VRyJs3LwMHDkzzigshhBBCJMbshTMLFy6Mp6cnS5cupWnTpur2mjVrsn79emrXro2trS3Zs2enVatWbNy4kVy5cqVppYUQQgghjNEob696mYT79+9TqFAh6SBshJubm8HyFEIIIYR498xquRk7diwNGzbE29s7veojhBBCCJEqZi2cefv2bcLCwmT0kxBCCCEyLbNabqKjo4G4hTOFEEIIITIjs4KbGjVqALB///50qYwQQgghRGqZFdxMnz6dwoUL8/PPP/Pbb79x5coVYmJi0qtuQgghhBBmM2u01JgxYwgJCeH48ePqiCmNRkP27NmxsbExXohGw/Hjx1Nf20xORksJIYQQGc+sDsV79uxRgxp9TKQoCiEhIUkeJ0PHhRBCCPGumBXcuLq6SqAihBBCiEzNrOBm1qxZ6VUPIYQQQog0YfbyC0IIIYQQmZlZLTdvi42N5fr16zx8+JCwsDDat28PxC3TULhw4TSpoBBCCCGEOVIU3ISEhPDnn3+ydetWwsPD1e364Gb48OFER0fz3XffUatWrbSpqRBCCCGECcy+LXXnzh1cXV1Zu3YtYWFhKIrC26PJAwMD8ff3p1+/fmzfvj2t6iqEEEIIkSyzgpvIyEgGDRrEw4cPyZIlC3379mXu3LkJ0vXo0QM7OztiY2OZOnUqAQEBaVZhIYQQQoikmBXcbNiwgYCAABwdHfH09GT8+PE0aNAgQbqRI0fi4eFBnjx5iIqKYu3atWlWYSGEEEKIpJgV3Hh5eaHRaBg+fDjFixdPMm3JkiUZMWIEiqJw8uTJVFVSCCGEEMJUZgU3t2/fBqBhw4Ympa9duzYADx8+NK9WQgghhBApZFZw8+bNGwDs7OxMSp8tWzbzaySEEEIIkQpmBTd58uQB4NatWyalv3z5ssFxQgghhBDpzazgpkaNGiiKwqpVq5JNGxMTw6JFi9BoNFSvXj3FFRRCCCGEMIdZwU3Pnj3RaDR4e3szY8YM9TbV2x4/fszQoUM5f/48AF27dk11RYUQQgghTGHWDMUVK1bkq6++YsWKFaxfv56tW7dSokQJdf+YMWMIDAzk8uXLxMTEAHGBTZUqVdK00kIIIYQQxpi9/MK3336Lra0tS5Ys4fXr11y5cgWNRgPA3r17AdQZi3v27MnEiRPTsLpCCCGEEElL0dpSw4cPx9XVlU2bNnHmzBkCAgIIDw/H1taW/PnzU7NmTTp37kzZsmXTur5CCCGEEElK8arghQsX5ttvv03LugghhBBCpJrZC2cKIYQQQmRmKW650YuOjiY2NjbZdDY2Nqkq5/r16yxfvpzTp08THBxMzpw5qVChAt27d090fStT6XQ6Nm/ezN69e7l16xbh4eHkzp2bmjVr0q9fP7m1JoQQQrxnNIq+96+JwsLC+Ouvv9i/fz+BgYHqqKgkC9FouHr1aoor6e3tzTfffINOp0t0f/fu3Zk6darZ+T569IgBAwZw48aNRPdbW1szbdo0OnbsaFJ+bm5ubNu2zex6CCGEECLtmL38Qs+ePVm2bBkBAQFER0ejKIpJfyl19epVRo8ejU6no3z58qxZswZfX1+2bt1Ks2bNgLjVytesWWNWvpGRkfTp04cbN25gZWXFkCFD2L9/P0ePHuX333/H2dkZnU7HlClTUhWYCSGEEOLdMuu2lLu7O9euXQPA2dmZ2rVr4+TklOpbTkmZP38+b968oVChQqxdu5bs2bMDkCtXLhYsWMDIkSPZv38/f/zxBx06dCBHjhwm5bt48WLu3LmDRqNh7ty5aqAE0Lp1a6pWrUrr1q2JiIjgr7/+Yu7cueny/IQQQgiRtswKbvbt24dGo6FmzZosW7aMLFmypFe9APD39+fIkSMADBgwQA1s9DQaDRMmTODAgQOEhISwb98+unTpkmy+Op2OjRs3AuDq6moQ2OgVKFCAZs2asXPnTmm5EUIIId4jZt2WunPnDgCjRo1K98AG4Pjx4+rjRo0aJZomf/78lCtXDoCDBw+alO/Jkyd5+fIlEBc0GfPjjz9y5coVvLy8TKyxEEIIITKaWcGNpaUlAMWLF0+XyrzNz88PACcnJ5ydnY2mc3FxAeDKlSsm5Xvx4kU135IlSxrsi99p2cbGBgsLGS0vhBBCvE/M+uYuVqwYELcw5rsQGBgIQKFChZJMV6BAAQCCg4OJiIhINl/96KiiRYsCcP78eb755htq1qxJhQoVqF69OiNGjDA5WBJCCCFE5mFWcNOmTRsURWHz5s3pVR8DL168AEi2k7C9vb36OCQkJNl8nz59CoCDgwMrV66kW7du7N+/n1evXgEQGhqKl5cXX3zxxTt7rkIIIYRIG2YFNz179qR8+fJs2LCB1atXG513Jq1ERkYCYGtrm2S6+Pv1xyQlPDwcgAsXLjB79myKFi3KokWL+N///sd///3HwoULKViwINHR0UydOhVfX99UPAshhBBCvEtmjZbaunUrLVu25Pbt28yePZs///yTsmXL4ujoiLW1dZLH/vbbb2ZXTt/HJ629fv0aiGvBKVasGJs3bzZoHWrWrBmVK1fG1dWV4OBgZs2axY4dOxLNy8PDAw8PD+D/W5qEEEIIkXHMCm6mTp2KRqMBQFEUQkNDOXv2bJLHKIqCRqNJUXCTNWtWIPnWmDdv3qiPk2vliZ8vwDfffJPobS9nZ2d69+7N3LlzuXbtGvfu3VP76MTXpUsXdfi5m5tbsmULIYQQIn2ZFdzoO+6+K/q+NKGhoUmmi9/PxtHRMdl87ezs1MefffaZ0XQ1atRQH9+6dSvR4EYIIYQQmYtZwY2Pj0961SNRxYsX58yZMwQFBSWZTr/f1NmSCxUqxLlz5wCSnK8n/qSBpvTlEUIIIUTGy9STuJQpUwaIC16S6s+in0FYP5lfcuKnu3//vtF0z58/Vx/nzZvXpLyFEEIIkbHSJLgJCwvj0aNHaZGVgfr16wNx/Xb0yzC8LSgoSJ3sr0GDBibl27BhQ/Xx3r17jaY7ceIEENePp2zZsiblLYQQQoiMleLgxtvbm0GDBlGjRg1q1KjB559/ru7r168f06ZN49mzZ6mqXOHChdV+L3/++ac6D018s2fPJjY2FgcHBzp06GBSviVLllTzXb16tboYaHz+/v7q+lPNmjVLsK6VEEIIITIns4ObiIgIhgwZwrBhwzh27BihoaEoioKiKGqa69evs2nTJlxdXdVWlZSaNGkSlpaW3L9/nx49enD8+HGCg4O5evUqI0aMYN++fQB8/fXXBh2FAVq0aEGLFi0YN25cgnynTZuGra0tkZGR9OzZkzVr1vDgwQOePXvGtm3b6NWrFxEREeTMmZOxY8em6jkIIYQQ4t3RKPGjEhMMHDiQ48ePoygKLi4ufPLJJ6xbtw6NRqMGMj179lSHiDs7O7Nnz55UtXxs376d7777jujo6ET39+rVi8mTJyfYru+zU7NmTdzd3RPsP3v2LMOGDTPanydXrlwsXLiQ6tWrm1RPNzc3tm3bZlJaIYQQQqQPs1pu9u/fz7Fjx7C0tGTWrFls27aN0aNHJ0i3bt06fvnlF6ysrHjy5Anr169PVSVdXV3x9PTE1dWVfPnyYW1tTY4cOahduzYLFy5MNLAxRfXq1fHy8mLYsGGUK1cOOzs7smXLhlarZciQIezcudPkwEYIIYQQmYNZLTeDBg3i2LFj9OvXT71VExERwSeffGLQcqM3d+5cli5dSsWKFdmyZUva1jwTkpYbIYQQIuOZ1XJz+fJlIK4lxRTt2rUD4M6dO+bVSgghhBAihcwKbvSjlUyd8yVPnjyATIAnhBBCiHfHrODGwcEBgMePH5uU/t69ewbHCSGEEEKkN7OCmwoVKgAYXSH7bRs2bDA4TgghhBAivZkV3LRv3x5FUVi9ejUHDhxIMu1ff/3F9u3b0Wg0tGnTJlWVFEIIIYQwlVkLZ7Zs2ZItW7Zw8uRJvvnmG6pXr46Li4u638PDg8DAQLy9vbl9+zYAVatWpXXr1mlbayGEEEIII8yexC8sLIyhQ4dy+vRpNBpNomn0WVaoUIFly5aRK1eu1Nf0PWBsKLhOp+PBgwe8efMmA2ol0pqlpSUODg7kyZMHC4tMvfasEEJ8lMxquQHInj07q1evxtPTk40bN3L16lViYmIM0pQuXZovvviCLl26YGNjk2aVfV89ePAAe3t7ihUrZjQgFO8HRVHQ6XQ8fvyYBw8eUKRIkYyukhBCiLeYHdwAaDQa3NzccHNzIzw8nMDAQMLCwsiaNSv58uXD0dExrev5Xnvz5o0ENh8IjUaDjY0NBQsW5Pr16xldHSGEEIlIUXATn52dHVqtNi3q8kGTwObDIrejhBAi85JPaCGEEEJ8UExuuTl16hQXLlxg0KBB6raIiAiqVatm9JihQ4cybNiw1NVQCCGEEMIMybbc3Llzh+7du9O3b18WLFigLsGgpyiK0b+//vpLnaVYZF4bN26kXbt2tGrVitatW/Ptt9/y8OFDo+mrVq3KgwcPuHTpEiNGjAAgKCiINm3a0K5dO86dO5fgGD8/PyZOnAjA559/zqVLl8yu47Jly5I8fv/+/fTq1QuA+fPns337drPKiG/NmjWpOl4IIUTGSbLl5t69e/Ts2ZPg4GAURSF79uzcu3ePSpUqGaTTaDT0799f/T86Ohp3d3eioqJYtGgRs2fPTp/ai1SbPXs2165dY+nSpeTPn5/Y2Fh27txJly5d2LJlC/ny5TN6bMWKFVmwYAEAp0+fJk+ePKxevTpButjYWL777jsWL16c4np269bNrPTffPNNissC6NmzJ506daJOnTo4OTmlKi8hhBDvVpLBzcSJE3n+/DlZsmRh1KhRdO/e3ejQ7jFjxhj8b2dnxx9//MG+ffsYN24cuXPnTrtav+citvxNuIdHupZh16UL2Tp3SjLNo0eP2LRpE0eOHCFnzpxAXEdZV1dXLl++zNKlS5k6dSpnz57lxx9/RKPRULFiRWJjY4G4gObHH39k8uTJzJs3j9DQUHr16oW7u7tBOfv27aNQoUI4Ozur2zZs2MC1a9eIioqib9++dOrUSc1v9+7dBvnv3r2bhQsX8uLFC77//nuDvOfPn8+uXbtwcHCgaNGi6vYJEyZQunRp+vXrR8WKFRk4cCD//PMPT5484csvv6RPnz7ExMQwZ84cfHx8sLe3p1KlSvj7++Pu7o6lpSUtW7bkr7/+YtKkSSk/EUIIId45o7elTp8+zf/+9z80Gg0LFiygT58+Zs1Z069fPxwcHNDpdMku1SAyxoULFyhRooQa2MRXu3Zt/vvvP6Kiovjmm2+YMGEC27dv59NPP00wGeFnn33GiBEjqF69eoLABsDLy4uGDRsabMuSJQuenp6sXLmS3377jZs3b5pd/0OHDnHgwAG2b9/Opk2bCAsLSzRdVFQUjo6ObNq0iQULFvDbb78RGRnJli1buHLlCrt372bTpk3cv3/f4LhGjRpx8OBBs+slhBAiYxltudF/qDdu3JgGDRqYnXHWrFlp06YN69at4/Tp02bfVviQZevcKdlWlXclOjo60e1RUVFoNBpu3LiBlZUVtWrVAqBNmzYJWk+Sc/v2bb788kuDbV27dgXA2dmZunXr4uvrS5kyZczK19fXl6ZNm5I9e3YAOnbsmGhwBXHvY4Dy5csTFRVFREQER48epX379mTJkgWALl26GBxfpEgRHj58SGRkpJpGCCFE5me05ebff/9Fo9HQvn37FGeu/7V+7dq1FOch0k+VKlW4d+8eT58+TbDv9OnTVK1aFY1Gw9srdFhZmTc9kkajUW9l6cWfJ0ZRFKysrBKUpdPpks03fnpLS0ujafXBiX6+IX2ZxuoEEBMTg0ajkTmKhBDiPWM0uNF/4ZUrVy7FmRcrVgyA4ODgFOch0o+zszO9evVi9OjRPH78WN2+detWDhw4wIABA9BqtSiKwtGjRwHw9vZOMGIuOcWLF09wy8fT0xOAhw8fcvLkSWrVqkWuXLl4+PAhz58/R1EUDh06lGS+9erVY//+/YSEhBAbG8uOHTvMqleDBg3YuXMnUVFRREdHq3XSu3//PoUKFZIlRIQQ4j1j9Cd4SEgIQKL9MfRsbGyYMmWK0f329vZA3Hw4InMaM2YMW7ZsYciQIURFRREVFUXFihXZtGkTBQsWBODPP//khx9+4Pfff6dcuXJmdw5v3rw5Bw8epGPHjuq2yMhIOnTogE6nY/LkyRQvXhyIu13VsWNHnJycEvTTeVuDBg24fv06HTt2JEeOHJQtW5YXL16YXC83Nzfu3LmDq6sr2bJlo1ChQmTNmlXdf/z4cVq0aGHWcxVCCJHxjK4KXq1aNSIiIjhw4ACFCxdOUea3bt2iTZs25MyZk9OnT6eqou8DY6uC+/n5paoF7H0XExODm5sby5YtMxgxldFOnDjB8+fP1VuvM2bMIEuWLHz77bfExMTQoUMHVq5cSZ48eRI9/mM/r0IIkVkZvS2VP39+IK4zaErpR8CkNDgSHwZLS0t+/PFHfv/994yuioHSpUuzfft22rVrR+vWrXnx4gWDBw8GwN3dnd69exsNbIQQQmReRm9Lubi44O/vj7e3d4pGS0Hc/CYajYYqVaqktH7iA1GpUqUEkz9mNGdnZ1atWpXovj59+rzbygghhEgzRltuGjVqhKIobN++Pcmp+I25du0aPj4+wP8PwxVCCCGESG9Gg5smTZqQN29edDodw4YNMzpBWmLCwsIYO3Ys0dHRlCpVSp0jRQghhBAivRkNbqytrRk3bhyKouDn54ebmxsnTpxINsN///2X9u3bc+vWLTQajUxdL4QQQoh3KsnZ2Nq0acOlS5dYs2YN9+/fZ8CAARQqVIhGjRpRpkwZtbPl06dPuX//PgcPHuTOnTvqxGrDhw+XVhshhBBCvFPJTjU7ceJE8ufPz7x583jz5g0PHjwwOsU9xM38amNjw5gxY+jdu3eaVlYIIYQQIjlGb0vF16dPH/bu3UvPnj3JkSMHiqIk+mdra4ubmxu7du2SwOY9UaZMmQQzSO/fv59evXoBccswVKpUifbt2xv8bdy4MdH8/Pz8mDhxYrrWedasWR/FvElCCCFSxuRFggoUKMDkyZOZNGkSly9f5ubNm+o0+Tlz5qRkyZJUrlxZpqr/ABUpUsSkpQ1iY2P57rvvWLx4cbrWZ+jQoXTv3p0tW7Zga2ubrmUJIYR4/5i3AiJxiwtmxjlL3id7zwey61xgupbRtmpBWlUpmK5lvG3fvn0UKlRInYX4888/p0OHDvj6+hIUFETLli0ZN24cAD4+PixevBidToetrS3jx4+nWLFiNGrUiJMnT5ItWza+//57/P39Wb9+PQDNmjVj0aJFlCpViqpVq+Lh4SEthEIIIRIwO7gRH5+AgACD1eHz58/PkiVLEqTz8vJKsB5UREQEGzZs4PHjxzRt2pRu3boRExPD3LlzWbt2LY6Ojty8eZO+ffty4MABKlWqxOnTp2nUqBGnT58mLCyM8PBwgoKCsLKyolSpUkBc4LR8+XIJboQQQiQgwU0GaFXl3beqGKPRaBJsi42NxcLi/7tjmXpb6vbt23z55ZcG2/QTODo7O5M7d25evXrFhQsXePLkicEswBqNhoCAAJo2bcqxY8coUqQIzs7OaLVa/v33X65fv06zZs3U9IULF+bOnTvmPl0hhBAfAQluPnKOjo68fPmSXLlyqdueP3+Og4OD2XlpNBpiY2MNtmXJksVgv6IoxMbGUqtWLebNm6fuCwoKIm/evDg4ONCjRw+KFStGnTp1yJEjBydOnODSpUv88MMPavq3AzAhhBBCT74dPnL169fH3d1dDUpevXqFp6dnitYTK168OPfv30823WeffcY///yDv78/AEePHqVdu3ZERkaSL18+HB0d2bRpE3Xq1KFu3bocOHCAly9fGqzAff/+fUqUKGF2HYUQQnz4pOXmI/fdd98xa9Ys2rRpg6WlJQDt27enQ4cOZufVvHlzDh48SMeOHZNMV7p0aaZPn87o0aNRFAUrKysWL15MtmzZAGjatCkrV67ExcUFCwsLbG1tadKkiUEex48fp0WLFmbXUQghxIdPo+inExap5ubmxrZt2xJs9/PzM2h1+FDFxMTg5ubGsmXL1BFT6SE0NJRu3bqxdetWg9te79rHcl6FEOJ9I7elRJqxtLTkxx9/5Pfff0/Xcv744w8mTZqUoYGNEEKIzEtuS4k09S7mQErvGZCFEEK836TlRgghhBAfFAluhBBCCPFBkeBGCCGEEB8UCW6EEEII8UGR4EYIIYQQHxQJbsQ7891333Hy5EkAJk+ezOXLlxNsF0IIIVJLhoKLd2bmzJnq45MnT9KlS5cE24UQQojUkuAmA/gEeHPo3sF0LaNJ0aZ8XqRxsulOnz7NzJkzyZYtGxEREYwYMYKlS5ei0+mwtbVl/PjxVK1alejoaH755ReOHDmCpaUlVatWZerUqSxdupTz58/z5MkTypQpQ9GiRXnx4gXff/89AAsXLlT/79WrFz169MDPz48nT54wduxY5syZw6+//kqPHj2oUKECffr0oUGDBly4cIFXr14xatQoWrVqxevXr5k6dSoXLlzA3t6eUqVKATBr1qx0fR2FEEK8fyS4Edy8eZNDhw6h0+kYPnw4a9euxdHRkZs3b9K3b18OHDjA33//zZUrV9ixYwc2NjaMHj2avXv3AhAYGMju3buxsrJi4cKFyZY3atQodu3axa+//krFihUN9t2/f5+6desyZcoUvLy8mDVrFq1atWLRokXExMSwb98+IiIi6N69Oy4uLunyegghhHi/SXCTAT4v0tikVpV3JX/+/BQsWJD169fz5MkT+vTpo+7TaDQEBARw8uRJ2rdvj62tLQDz5s0D4lpmqlSpgpVV2ryVrK2t1RXJXVxcePnyJRC3cvjEiROxsLAge/bsdOjQgevXr6dJmUIIIT4sEtwIdTXu2NhYatWqpQYuAEFBQeTNmzdB8PLs2TNiY2MNjoe4YCj+Wqw6nc6sulhbW2NhYaHmpWdlZWWQrz6NEEII8Tb5hhCqzz77jH/++Qd/f38grrWkXbt2REZGUqtWLXbv3k1UVBSxsbH88MMP7NmzJ0Eejo6OXLlyBUVRiIiI4MSJE4mWZWlpSXR0tMl1a9CgAVu3biU2NpbXr1+ze/dug+BHCCGE0JOWG6EqXbo006dPZ/To0SiKgpWVFYsXLyZbtmx07dqVwMBA3NzcUBSFmjVr0qtXLxYvXmyQR7t27Th+/DjNmjXD2dmZqlWrGrS46DVp0oRRo0YxY8YMk+o2aNAgpk+fTtu2bbG3tyd37tzqLTIhhBAiPo2S2DePSBE3Nze2bduWYLufnx/lypXLgBp9OPbs2UP27Nlp0KABsbGxDB8+nDp16tC9e/cMq5OcVyGEyJzktpR4L5QuXZrFixfTvn172rRpQ968eencuXNGV0sIIUQmJLelxHtBq9WyadOmjK6GEEKI94C03AghhBDigyLBjRBCCCE+KBLcCCGEEOKDIsGNEEIIIT4oEtwIIYQQ4oMiwY0QQgghPigS3HzkTp8+TZs2bUxOP2HCBFasWGFS2vbt2xMSEpJg+4oVK5gwYYLJZQohhBDmkHluRLrZsWNHRldBCCHER0iCmwxww+c217xvpWsZZRuXQvt5CZPSRkREMGrUKG7fvk1kZCTTp09n6NChbN68meLFiwPQt29fevToAcB///2Hl5cXYWFh1KlTh/Hjx2NlZUWFChVo3Lgx165d49dff6VTp074+vpib2/PjBkzOHnyJLlz5yZ37tzY29un23MXQgjxcZPbUoJHjx7Rp08fduzYQdeuXfnzzz9xdXVly5YtAAQEBHDnzh0aNWqkpl+9ejXbt2/n2rVrbN68GQCdTkejRo3w8vKiYsWKav4bNmzg7t277Nmzh5UrVxIUFPTun6QQQoiPhrTcZADt5yVMblV5FwoXLkzlypUBKFu2LFu3bqV79+707NmTUaNG4eHhQadOnbC0tATi+tJky5YNiFsF/OjRo+oCltWrV0+Qv6+vL23atMHGxgYbGxvatm3L9evX39GzE0II8bGRlhuBtbW1+lij0aAoCsWLF6dMmTJ4e3uza9cug0Uq9UGOnpXV/8fI+qAnKW8fL4QQQqQlCW6EUd27d2fOnDlUrlwZZ2dndfuePXuIiooiMjKSbdu2Ub9+/STzqVevHtu3bycyMpLIyEj27t2b3lUXQgjxEZPbUsKoRo0aMXnyZLp27WqwvVChQnTr1o2IiAiaNm1Khw4dksyna9euBAQE0KZNGxwcHChatGh6VlsIIcRHTqMoipLRlfhQuLm5sW3btgTb/fz8KFeuXAbUKHX+97//MWXKFHbv3o1Go8no6mQ67+t5FUKID5203IhEjR8/njNnzjB79mwJbIQQQrxXJLgRiZo9e3ZGV0EIIYRIkfciuLl+/TrLly/n9OnTBAcHkzNnTipUqED37t1p0KBBivLcvHkzU6ZMSTZd8+bNWbBgQYrKiE9RFGkB+YDI3VwhhMi8Mn1w4+3tzTfffINOp1O3PXv2jCNHjnDkyBG6d+/O1KlTzc738uXLaVnNJFlaWqLT6bCxsXlnZYr09fr1a4Mh9EIIITKPTB3cXL16ldGjR6PT6Shfvjzjxo1Dq9Xy8OFDli5dyoEDB9iwYQPFihWjd+/eZuV95coVIG4kz7hx44ymiz+HS0o5ODjw+PFjChYsiIWFjL5/nymKwuvXrwkMDDQYHi+EECLzyNTBzfz583nz5g2FChVi7dq1ZM+eHYBcuXKxYMECRo4cyf79+/njjz/o0KEDOXLkMClfnU7HjRs3AKhatSp2dnbp9hwA8uTJw4MHD2RW3g+EtbU1zs7OJr/fhBBCvFuZNrjx9/fnyJEjAAwYMEANbPQ0Gg0TJkzgwIEDhISEsG/fPrp06WJS3jdv3iQqKgrAYA2k9GJhYUGRIkXSvRwhhBBCZOIZio8fP64+1i/Y+Lb8+fOr84wcPHjQ5Lz1t6Ts7e0pUSLzrPEkhBBCiNTLtC03fn5+ADg5OSXZt8HFxYUrV66oAYsp9GkrVKiAj48PW7Zs4fz584SFheHk5MRnn31G//79KVmyZOqehBBCCCHeuUzbchMYGAjETfWflAIFCgAQHBxMRESESXnrg5uzZ8/y9ddfc/jwYV68eIFOp+Phw4ds27aNdu3asWXLllQ8AyGEEEJkhEzbcvPixQuAZDtt2tvbq49DQkKSXZU6Ojpa7dir0+lo0KABX331FVqtlvDwcI4dO8bChQt58eIFU6ZMwdHRkSZNmqTy2QghhBDiXcm0wU1kZCQAtra2SaaLv19/TFIePXqEk5MTjx49omfPnkycOFHdlytXLnr06EGdOnXo3LkzISEh/Pjjj9SvX9/oHDUeHh54eHgAcOfOHdzc3JKtgzlevHiBo6NjmuYpxMdMrql3R17rj0N6nGdHR0dWrFiR4uMzbXBjaWmZLvkWKlQIb29voqOjjc45U6xYMQYPHsycOXN49OgRJ06c4PPPP080bZcuXUwepZUSxhbjFEKkjFxT74681h+HzHieM22fm6xZswLJt8a8efNGfZxcK098VlZWSU6o17hxY/XxhQsXTM5XCCGEEBkr0wY3+r40oaGhSaYLCQlRH6dls5i+ozLEdVYWQgghxPsh0wY3xYsXByAoKCjJdPr9Tk5OZq3dlNzCh/HXstK3ImWE9LzlJcTHSK6pd0de649DZjzPmTa4KVOmDBAXvOhHTiXm6tWrAOpkfsmZP38+tWvXpmLFikm2Cvn7+6uP9YFWRsiMbxoh3mdyTb078lp/HDLjec60wU39+vWBuBYW/TIMbwsKClIn+2vQoIFJ+ebOnZvnz5+j0+kMZkF+244dO4C4pRPq1q1rRs2FEEIIkZEybXBTuHBhatSoAcCff/7Jq1evEqSZPXs2sbGxODg40KFDB5Pybd68uXr76rfffiMsLCxBmtOnT7Np0yY1feHChVP6NIQQQgjxjmmU5DqfZKCrV6/SqVMnYmJiKF26NOPHj6d8+fI8evSIJUuW4OXlBcCkSZPo3bu3wbEtWrQAoFKlSsyZM8dg36JFi5g/fz4AJUqUYMyYMVSsWJHIyEj27t3L4sWLefPmDXnz5mXbtm04OTml6nmsWbOGn376iQEDBjB27Fij6RRFYceOHfz999/4+fmh0+lwdnamQYMG9O3bl4IFCyZZzoMHD/jrr784ceIEjx8/Jnv27Gi1Wjp16kS7du1S9RyEyChz585lyZIlyab76quvGD9+vME2uaaS9z58PqW27I+Rr68vmzdv5vz58zx79gwrKysKFSpE3bp1+fLLL8mfP3+ix9WrV48nT54km/+uXbvQarUJtgcHB/PXX39x+PBhAgMDsbW1pUSJErRr144uXbpgZZX0DDQ+Pj6sX7+ey5cvEx4eri6J1Ldv30TLMyZTBzcA27dv57vvviM6OjrR/b169WLy5MkJtuv77NSsWRN3d3eDfYqiMGvWLFavXm203CJFirBkyZJUry91/vx5evfuzZs3b5L88IiNjWXs2LHs2bMn0f3Zs2dn4cKF1K5dO9H9Fy9epE+fPoSHhye6//PPP2fBggVYW1un7IkIkUH69evHiRMnkk33dnAj11Ty3ofPp9SW/bGJiYlhypQpbN261WgaOzs7fvvttwSLUj99+tTkbhiJBTf379+nW7duPH36NNFjqlSpwooVK8iePXui+3/55ReWL1+e6D4bGxt+/PFHXF1dTaofynvg+vXryrhx45T69esr5cuXV6pXr6706dNH8fLyMnqMVqtVtFqt0rNnT6Np/v33X2XUqFFqvjVq1FC++OILZcWKFcrr169TXe9///1X+eSTT9S6/PLLL0bT/vrrr2q6mTNnKv7+/sqzZ8+Uffv2KQ0bNlS0Wq1SrVo1JTAwMMGxQUFByqeffqpotVqlSZMmire3t/L8+XPlxo0bypQpUwzyFeJ9o39vL126VAkLCzP6FxkZaXCcXFNJe18+n1JT9sco/uvVv39/5cyZM8rz58+VW7duKe7u7kqNGjUUrVarVKxYUfHz8zM49vDhw+qxDx8+TPJ6i4mJMTg2PDxcadq0qaLVapVatWopO3bsUJ4+farcu3dP+f3335Vy5copWq1W+frrrxOt98aNG9WyR48erfj5+SnPnz9Xjh07prRp00bRarVK+fLllYsXL5r0OrwXwc37aNWqVUr58uXVk5XUh8ejR4/UtLNmzUqwPzAwUKlZs6ai1WqVCRMmJNg/bdo0RavVKp988ony6NGjBPtnzZqlaLVaxcXFRbl7927qn5wQ70hgYKB6/fz7778mHyfXVNLel8+n1Jb9sXny5In6eg0fPlyJjY1NkObu3btK1apVFa1WqwwaNMhg38KFCxWtVqs0btzY7LKXL1+uaLVapVy5csrVq1cT7F+3bp36Xjt9+rTBvoiICOWzzz5T6/22V69eqYFTUg0W8WXaDsXvq7Nnz9K5c2d+/vlndDodFSpUSPaYdevWodPpsLW1ZciQIQn2FyhQgD59+gCwe/dug07QISEh/P333wB0794dZ2fnBMcPGzaMHDlyEB0dnWRTpRCZzZUrV4C45VhcXFxMPk6uqcS9b59PqSn7Y+Tt7a3O0TZy5Eg0Gk2CNEWLFlXXQDxx4oTBnG76661ixYpmlasoitrNo0WLFolOzdKtWzeKFSsGoK7HqLdjxw51styRI0cmODZHjhwMGzYMgDNnznDnzp1k6yTBTRobPHgwFy9exMLCgl69erF+/fpkjzl69CgA1atXN7oKun45iKioKI4dO6ZuP336tLpEhbH1r+zs7KhVqxYABw8eNP3JCJHB9B+2JUuWJFu2bCYfJ9dU4t63z6fUlP0xevLkCba2ttjb21OiRAmj6YoUKQLETVYbfx45/bxxlSpVMqtcPz8/tROysfNsYWGh7vPx8SEmJkbdpz/PxYoVM1rvRo0aqWtOmnLNSXCTxjQaDXXr1uXvv/9m8uTJya53pdPp1AkDy5cvbzRd6dKl1c52ly9fVrfr5/nRaDRJ/rLVR9J37twx2qlPiMxGH9xUqFCB7du306dPH2rUqEHFihVp2rQpM2bM4NGjRwbHyDVl3Pv0+ZTasj9GI0aM4MKFC0bnhtO7d+8eEHde9EHj8+fP1Wspf/78/Pbbb7Rp04ZKlSpRrVo1unbtysaNGxMd3KM/z5D0udKf54iICIPWl2vXrgEk2ZJob29PoUKFgP//XEhKpl0V/H21efNms2Y0fvTokfpmSWo4o0ajIX/+/AQEBPDgwQN1e2BgIAB58uQhS5YsRo/Xr5WlKAoPHz6kdOnSJtdRiIyi/xDbtWtXglWHAwICcHd3Z+vWrcydO5eGDRsCck0l5X36fEpt2R8zY6ORIG69xt27dwNxt5/0AW78wHDs2LEGt6siIyM5d+4c586dw9PTk8WLF5M7d251v/48azSaJM9V/DUbHzx4QKlSpYiJiVGDquSG9BcoUIB79+6ZdJ6l5SaNmbtUQ/wmQWPNrnr6xUTjLxaqPz5nzpwmHQskOiGiEJnNo0ePeP78ORD3K75du3Z4eHhw6tQp9u3bx6hRo8iWLRsREREMHz6cixcvAnJNJeV9+nxKbdkicTNmzODly5cA9OjRQ90evzUka9asTJgwgQMHDnDq1CnWr19PkyZNALhw4QJff/01UVFRanr9ubK1tU1yjcfEzvOrV6+IjY0F0vY8S3CTweK/QZJrItb/8tHfw47/OKlfRW/nHb9MITKrhw8fkj9/fiwsLJg0aRK//PILVapUwdHRkRIlSjB48GCWL1+OtbU1UVFRTJ8+HZBrKi1l5GuZ2rJFQosWLWL79u1A3Bxw8SdPDAsLI0eOHDg6OvL333/Tt29fihYtiqOjI9WrV+fPP/9Ug6Hz58+zZcsW9djUnOf45ywtz7MENxnMwiJ1p0DfwUqID80nn3zCkSNHuHDhQoIZyPWqVavGF198AcClS5e4fv26XFNpKCNfy9SWLQz98ccf6sz8BQoU4Pfffzd4jceNG8e///7LsWPHKFq0aKJ5jBs3DkdHRwCDkW2Z8TzLuyeDxR8Bklw0qt8fP7rNmjUrkPwvxzdv3qiPk4uuhchMkmrmhv8fLQNxTeZyTaWdjHwtU1u2iBMTE8PUqVNZuHAhAPny5WP16tVGlxVK6nqztbWlTp06QNzIKv15zYznWYKbDBb/HmRoaGiSafX3GfWRM/z/PUpTj337eCHed/E7KQYHB8s1lYYy8rVMbdki7lbTwIED1YWgixUrxoYNG4y2zJhC3+lXURS1r43+PL9588agI/Lb4p9H/bmys7NTW37S8jxLcJPB8ufPr0ahQUFBRtMpipJoj3L9pEhPnz41uv5W/LwtLCyMLpgmRGakJLP8XfwP06xZs8o1lYYy8rVMbdkfu4cPH9KtWzd1XbaqVauycePGZF8jc643fauL/jzHxsYmmJrh7Trp6ethYWFB4cKFgaTPc/z9ppxnCW4ymIWFBaVKlQIM5wp4240bN9Q3VfzZH/ULhMbExHDjxg2jx+snZypevLjahChEZjZx4kQ+/fRT6tatm+QH7q1bt9THxYsXl2sqDWXka5nasj9md+7c4YsvvlBf81atWrFmzRpy5cqVaPrnz5/TuHFjqlatypw5c5LMW3+95cmTR21d059n+P85axKjP8/ZsmUzaD3SH5/UeQ4NDVWHgJtyniW4yQQaNGgAxE0rbWz6cB8fHwCsra3V2Twhrse7/sNAn+ZtERERnDp1yqAsITI7BwcHXr58ybNnz7h06ZLRdDt37gTimrerVasGyDWVljLytUxN2R+rhw8f0rt3b3Vl7gEDBvD7778n2S8sV65chIeHExERwbFjx4z+mHjy5Am+vr4A1K9fX91eunRptTXF2HmOjY3l8OHDANSrV8+gE7L+PN+4ccPoHDaHDx9WZzWOX7YxEtxkAu3atcPS0pKwsDC101d8Dx8+VNft6NChg8H9xmzZstG8eXMA1q5dm+gbY+HChYSEhGBlZUXPnj3T50kIkcbatm2rPp4xY4bBdO16O3bsUD8wu3Xrhp2dHSDXVFrKyNcyNWV/jKKjoxk1ahSPHz8GYPTo0YwdOzbRNabi02g06vV269atRJfl0Ol0TJo0CZ1Oh5WVlbqml56rqysQN+FmYj9GNm7cyN27dwESHNusWTPs7OxQFIXZs2cnCK5CQ0P5448/AKhTp45BS5ExEtxkAsWKFaNXr14ArF69msmTJ3Pr1i2Cg4M5cOAAPXv25OXLl+TMmZNBgwYlOH706NHY2dnx6tUrevTowb59+wgODsbf35+pU6eycuVKIG7CJrknLd4XLi4udOrUCYgbBdWtWzdOnjzJ8+fP8ff3Z86cOUycOBEArVarLqwHck2lpYx8LVNb9sfGw8OD8+fPA3FrPPXs2ZPw8PAk//SBxJAhQ9QRVD/99BOzZs3i2rVrBAcH4+vrS+/evTl+/Lia9u0Ao1+/fuTPnx+dTke/fv3YsmULT58+5f79+8ybN4+ZM2cC0KRJEz755BODY+3t7dUFMw8cOMDQoUO5fPkyL1684J9//qFHjx7cu3cPGxubRBfWTIxGSa73kEg1/ZtgwIABjB07NtE0UVFRjBgxQv0V+rasWbOyYsUKtdn9bSdPnmTo0KFEREQkur9p06bMnz9f5vAQ75WoqCjGjx/P3r17jaYpX748S5cuTTC0Va4p02T2z6fUlv0xadq0KQEBAWYd4+3tra7ZdO3aNb7++mt1OYW3WVhYMGDAAEaPHp3o/mvXrtG3b191he+3Va1alVWrViXaR01RFH744Qd1ZNfbrKys+PXXX2nZsqUpT0uCm3fBlA8PiDu5O3bsYOvWrVy/fp2IiAicnJyoU6cOAwcOVFdyNSYwMJC//vqL48eP8/jxY2xsbChTpgwdO3akY8eOyTZNCpFZHT58mC1btnDx4kVevnyJvb09pUqVom3btnTs2NFogCHXVPLeh8+n1Jb9MQgODk5Rn6P4wQ3EDR/fsGEDBw8e5Pbt20RFReHk5ETNmjXp1q0blStXTjK/Fy9esHz5cnx8fAgMDMTCwoISJUrQpk0bevbsmey8VT4+PmzcuJFLly4RGhqKo6Mjn376Kf369Uty8dW3SXAjhBBCiA+K9LkRQgghxAdFghshhBBCfFAkuBFCCCHEB0WCGyGEEEJ8UCS4EUIIIcQHRYIbIYQQQnxQJLgRQgghxAdFghshhBBCfFAkuBFCCCHEB8Uqoysg3h+9evXizJkzAIwcOZIhQ4aYdNz06dPVVWbfnur7faF/7jY2NomuePux0ul0LF++nF27dhEUFISFhQVOTk78/PPPVK1a1ehxpqzqm5zr16+nOo+U0te/bt26rFixIl3KMHWdoIIFC+Lj45Oqso4ePYq3tzf//fcfz549Izw8HAcHB/Lmzcunn35K06ZNEyx2+LF6F+depJ4ENyJFFi1aRLNmzShZsmRGV0VkoG+//ZZ9+/YZbAsLCyNv3rwZVKMPQ1hYGPfv30/3cgICApg4cSJnz55NsO/p06c8ffqUK1eusHLlSho1asS0adNwdnZO93oJkVoS3IgUiYqK4rvvvmPDhg1YWMjdzY+Rv7+/GtgULFiQMWPGUKhQIV69ekXBggWTPHb79u1G97m6ugLg5OTEX3/9lVbVfa9cu3YN/bJ/06ZNS3KxQmtr6xSV8ezZM/r27cuDBw/QaDQ0bdqUzz//nMKFC5MlSxZCQ0O5evUq27Ztw9/fn8OHDxMQEMC6devIlStXisoU4l2R4Eak2Llz51i7di19+vTJ6KqIDHDr1i318eDBg2ndurXJx5YrVy7ZNDY2Nial+xD5+fmpj5s0aUKePHnSvIy5c+fy4MEDLCwsWLhwIU2aNEmQpnbt2vTu3Zvvv/9eDXLmzZvH9OnT07w+QqQl+cktzGZhYYGVVVxcPG/evHfSfC4yn9evX6uP38d+VJmZPrhxcnJKl8Dm9evX7NixA4AWLVokGtjoWVtbM23aNLU1ztPTk9DQ0DSvkxBpSYIbYTYrKyv69esHxH1ITp48OYNrJDJCbGys+tjS0jIDa/Lh0Qc36dVyde/ePXQ6HQDFihVLNr2NjY3aMhcVFcWdO3fSpV5CpBW5LSVSZNiwYRw8eJDbt29z6tQpNm/ezBdffGF2PgsXLuSPP/4AwMPDgypVqiSaLqkRV/qRTM2bN2fBggX8999/rFmzhv/973+EhITg5OREo0aNGDhwoNrRNSAggBUrVnD8+HGePHmCvb091apVY9CgQVSsWDHZev/777+sWLGCc+fO8fr1a/Lnz0+DBg3o06cPBQoUSPLY169fs3HjRg4dOsTt27cJCwvDwcGBChUq0LZtW1q2bJloP6bTp0/z5ZdfAnF9Vp48ecLcuXPx9/fHzs6OMmXKMGfOHLM6fEZFRbF9+3a8vLzw8/MjJCQEe3t7SpUqRZMmTejSpQu2trYGx8QfNaenrxfA2rVr+fTTT02uQ2o8e/aMzZs34+vry507d3j16hVWVlY4ODhQsWJFWrVqRfPmzdFoNIkef/v2bTZs2MCpU6d48OABsbGxODo6Ur58eZo1a0abNm3UVkpz/P777yxduhSAChUqsGrVKnLkyGHSsTqdTr3l5+LiYnbZ5vrvv/9MSufq6opWqyVXrlxGA6KYmBj27duHj48PFy9eJDg4mKioKOzt7SlWrBh169ale/fuODo6Jjh2woQJeHp6Ur58ebZt28b169dZtWoVvr6+BAcHkydPHj799FMGDRpE8eLFgbjzv2LFCnx8fAgKCsLW1paKFSvSr18/ateubbSM4sWLs3//fq5cucLSpUv577//ePXqFXny5OGzzz7jq6++QqvVmv4ivuXly5esW7eOI0eOEBAQwOvXr8mdOzeVK1fGzc2NBg0aJHn8gQMH2Llzp/oa2trakjdvXmrWrMkXX3zxTt4X7zsJbkSK2NjYMGPGDHr27ElsbCxz5syhQYMGGT6SYsmSJcybN0/tjAnw4MED3N3dOXToEB4eHly9epUxY8YQHh6upgkODubgwYMcOXKExYsXU69ePaNlrF69mlmzZhmUcffuXe7evYuHhwezZs2iZcuWiR578eJFhg0bxuPHjw22P336lMOHD3P48GHc3d1ZsGBBkiOOjh49yvz589XWk6ioKAIDA80apXTt2jVGjhyZ4Fd4cHAwZ86c4cyZM6xatYqFCxeaFPC9a56envzwww+8efPGYHtUVBQRERE8fPgQLy8vGjVqxJ9//pmgdWnXrl1MnDhRbcHQe/ToEY8ePcLb25vVq1ezfPlys24NLV68OMWBDcR11I6KigKgRIkSrF+/nr1793L9+nUiIyPJly8ftWvXpl+/fhQpUsTkfOMrVqwY2bJlIyIigtOnTzNr1iyGDRtG9uzZjR5TsmTJJEdH3r9/nyFDhnDz5s0E+4KDgwkODuZ///sf69evZ9WqVUlOB+Dp6cmUKVMMzs3Dhw/x9PTEx8eHtWvXEhUVxZAhQ3j27JmaJjIykhMnTvDPP/8wY8YMOnXqZLSMffv28e233xqUERQUhKenJ7t27eKnn36iffv2Ro835ujRo4wdO5aQkBCD7UFBQQQFBbF//34+//xzfvnllwSvt06nY+TIkRw6dCjB9tDQUPz9/dm4cSMDBw5kzJgxZtftYyLBjUixatWq0aNHD9zd3QkNDWXq1KksWbIkw+pz5swZvLy8cHZ2pl+/flSoUIGnT5+yZMkS/Pz8CAoKYuzYsVy8eJEsWbIwatQoatSoQVRUFH///Te7d+9Gp9Mxbdo0Dhw4kGjrSVRUFD///DO2trb06dOHevXqER0dzaFDh9i4cSNv3rxhzJgxFChQIMEIl5s3b9K7d28iIiKws7Oje/fu1KpVC3t7ewIDA9m9ezeHDh3i3Llz9OvXDw8PD7Jly5boc50/fz729vZ88803lCtXjhs3bmBjY2O0heJtd+/epW/fvgQHBwPQqFEjXF1dKVCgAE+ePGH37t3s27ePoKAgvvzySzw8PNRfsjNmzCAiIgJvb28WLlyobqtQoQJAir9wzeHr68uECRMAcHBwoEePHlSpUoWcOXPy+PFjtTVRp9Nx+PBhtmzZQteuXdXj7927x6RJk9DpdBQqVIj+/fuj1WqxtLQkICCADRs2cO7cOfz8/Jg2bZr6PJOzevVq5s2bB6QssIG4oFNv+vTphIWFGewPCAggICCArVu3MnXqVDp37mxW/gC2trZ07dqVlStXArBq1So8PDxo0KAB9erVo2bNmhQuXNjk/KKioujfvz93794FoHnz5rRq1QpnZ2fCw8Px9/dnzZo1BAYG8vz5c77//ns8PDwSzev+/ftMnjyZbNmyMXToUGrUqKG2hPj6+vLq1SsmT55MYGAgERERDBw4kLp162Jpacn+/ftZt24diqLw008/0aJFi0QDtmfPnjFhwgSio6Pp1KkTrVu3xsbGhuPHj7Nq1SoiIyMZP348Dg4OybayxOfr68uQIUOIiYkhd+7c9OjRg+rVq2Nra8vdu3f5+++/OXPmDD4+PgwbNowVK1YYBN3Lli1TA5smTZrg6upKvnz5CAsL4+LFi6xcuZKXL1+ybNkyqlatyueff25y3T46ihAm6tmzp6LVapUKFSqo28LDw5VGjRopWq1W0Wq1ys6dOxMcN23aNHX//fv3DfYtWLBA3Xfu3DmjZSeVh75eWq1WqVu3rvLo0SOD/cHBwUqlSpXUNNWrV1du376doIzhw4erafz8/IyWUaVKFeXChQsJjvf29lbKlCmjaLVaxc3NLcH+9u3bK1qtVqlfv75y7969RJ/nunXr1HJ++eUXg32nTp1S92m1WuXEiROJv1gm6NOnj5rPypUrE02zbds2NU3btm2V2NhYg/1bt25V9586dSrFdXmbPs9GjRoZTdO1a1dFq9UqLi4uysWLFxNN4+Pjo+bVu3dvg30LFy5UtFqtUq5cOeXBgwcJjo2KilK6dOmiaLVapUyZMsrz588TreNXX32lbtu0aZO63c3NTXn16pUZz/r/zZw50+A8Dxo0SNm7d69y/vx5xcfHR5k0aZLi4uKi7t+9e3eKyomMjDR4H7z9V79+fWXMmDGKp6enEhwcnGRemzdvVo+bMWNGomnCwsIMPiuCgoIM9o8fP17dV7lyZeXGjRsG+6OiopS6deuqacqXL6+cPXs2QTmzZs1S0xw8eNBoGVqtVtmxY0eC4//77z+lQoUKilarVZo2bapERUUZ7E/s3CuKorx+/VqpU6eOotVqlTZt2iR4z+jNmTNHzWPDhg0G+/SvT58+fRI91s/PTz33gwYNSjSNiCMdikWqZMuWjR9//FH9f+bMmWprQEYYOHBggltjjo6O1KxZU/3/yy+/VO/Zxxf/V9C9e/eMljFs2DAqVaqU6PEdOnQA4PLlywYzGf/zzz9qJ9Hx48cbbd3o0aOHWteNGzcmuGWiV6RIEerUqWO0jknx8/Pj5MmTADRs2JC+ffsmmq5Dhw64ubkBcbMBHzt2LEXlpbXXr18TFRWFg4MDjRo1MnrLrFGjRmqrSWK3ASHu/ZvYrTxra2tGjBhBr169mDhxosEtyMTs2LGDH374AUh5i42e/n2i0Wj46aefWLJkCS1btqRy5co0atSImTNnsmzZMnV+m6lTpya4BWIKGxsbli9fzqhRo7Czs0uw/9GjR+zatYvx48dTr149JkyYYHALKL4HDx5QoEABbG1tjc5cbmdnR+PGjdX/3z4n8XXt2pXSpUsbbLO2tjY4vk2bNlSrVi3BsfHTJDXDs6urK+3atUuw/ZNPPlEHTNy7d0+9VpKzc+dO9X01c+ZMo3MBjRo1iqJFiwJx/dPi07+++v1vK1u2LEOGDGHw4MG0bdvWpHp9rCS4EalWp04d9UvwxYsXBsHOu5ZYJ0LAIOCpVatWomly586tPo6IiEg0jYWFRZL38fUT0EFcQKN35MgR9XFyQYm+GTwsLMzoUg9JTeqWnOPHj6uPu3TpkmTabt26JXpcRsqaNStbt27l9OnTLFiwIMm0+r4y+j4seiVKlAAgNDSUb775Bn9//wTH1q5dm8mTJ9O7d2+D98bbvLy8mDhxIrGxsZQvXz5VgQ3EdbLfsmULa9asoWPHjommqVOnjvoFHBoayrZt21JUlqWlJYMHD+b48eP8+uuvtG7dOtEvZZ1Oh6enJy1atEh0NuNRo0Zx+PBhzp07l+QEf05OTurjt89JfMau0fjX8WeffZZomvjlG7uOIe6HhDHxX/fDhw8bTRef/hq3t7dP9MePnpWVlfoZcPv2bYMgT/++/Pvvv1m9enWiQ+6HDRvGqFGjzJpX6mMkfW5Empg4cSLHjx/n6dOn7N27l9atWyc5d0Z6MTYzro2Njfo4/gessTTGfqkXK1aMnDlzGi0//iiGGzduqI/jT8oWvxUpOffv3090TZ/8+fObnMfb4nf4NDY6Tc/FxQVra2t0Ol2GruVkjL5fVEREBA8ePCAgIIDbt29z/fp1/vvvP4KCgoCE59PV1ZUVK1bw+PFjvL298fb2pnDhwtSuXVv9MyVAuXHjBmPGjCEmJgaIew8l1SnXFA4ODjg4OCSbrkuXLmofN19f31RNpmlnZ0fbtm1p27YtiqJw8+ZNzpw5w8mTJ/H19VWDhNDQUAYPHoynp2eifXL05yMmJoZHjx4REBDAvXv3uHnzJhcuXODKlStq2vhTCbzN2LxJ8a9RY53nTbmOs2TJQvny5Y2WX7hwYXLmzMmrV6+4ffu20XTx6a/x0NBQs9ZOu3//vhq0DRw4kFGjRqHT6fj555/55ZdfqFKlCrVq1aJOnTpUqlRJpl0wkQQ3Ik3kyJGDqVOnMmzYMAB++OEHatasmapfsOaytLRMMGzZWLqUSuoXPMT9arOysiI6OppXr16p21+8eJGi8ozdbkjNF+jLly+BuC+ixIbkxqcfVv306VOD55MZPHr0iJUrV+Lj42N0IkkLC4tEv0Rz5szJqlWrmDRpEufPnwfivmQ8PDzw8PDA0tKSGjVq0LFjR9q2bWu0o/aTJ0+AuC/UqKgozp07h7u7O717906bJ5mEAgUKkCNHDkJCQnj48GGa5avRaNBqtWi1Wnr27Mnr16/x8PBg3rx5vH79mtDQUJYvX860adMMjouOjmbr1q14enpy5cqVRFtmTF2qJbHbZG9L7XWc3PGOjo68evXK6K24t6XFNd6qVSsiIiKYM2cOr169Ijo6mrNnz3L27FkWLlyIg4MDjRs3pnfv3mmy+OyHTIIbkWaaNm1KixYt2L9/P0+fPmXWrFn89NNPaZJ3Ur/y9DLbL5r4a/5ER0cDcR+Yq1atMjkPY0PrTR0VlZjk+o+8Tf/aZ6Y1xI4dO8Y333xjcNvBzs6OkiVLUqpUKSpWrEjt2rUZNmxYokOTIW5os4eHBxcuXMDLy4tjx46paWNiYjh16hSnTp1i27ZtLFmyxGjgXK5cOebOnUu3bt148eIF8+bNU9doSm+2traEhIQY7ZtljH5otoWFhXorxJisWbPSp08fypQpo7YO+fr6GqR58eIFAwYMMLiNamlpSdGiRSlRogTlypWjevXqXLx4kd9++y3Z+qX3tWxK/vrWOFPX7tJf42XKlGH27Nkm1+XtVir96C0fHx+8vb35559/1B8kL1++ZOvWrWzfvp3JkyfTvXt3k8v52EhwI9LU999/z6lTp9SLMLn7wvG/pJP60s0s070n13rx8uVLg0BGT3+bISIigjJlymRooKC/rRYbG8uLFy+S7COh0+nUX5ZJ3Y57l54+fcro0aOJiIjA2tqagQMH0rp1a0qUKJEg6Euqz4Ve5cqVqVy5MuPGjePp06ecOnWKI0eOcOjQId68eYOvry8rVqxg6NChCY4tXLgwq1evxsHBgQkTJjB+/HgiIiKYMmUKq1evNvu5vXr1ivPnzxMcHEyJEiWS7FsVExOjfukl16IYX1RUlNqnpXLlymzevNmk42rVqkW5cuXw8/NL0Bl42rRpamBTt25d+vfvT9WqVRMEhP/++6/J9UxPprRC6ltijN3Gfpu+hTMyMjLVM0tnzZqV1q1b07p1axRF4dq1a/zzzz8cOHCACxcuEBMTw8yZM6lXr947CaLfR5nnp5j4IOTOnZuJEyeq/0+ZMsVgDaK3xf8F9fZkbPHp+05ktHv37iXZEfLixYvq4/j9b/QjPyIjIw363yTm2LFjrFy5Ei8vr3QZeRa/OfvChQtJpr1y5YraKpDcL/x3ZefOnWqwO3jwYEaMGEHJkiUTBDZRUVFGbym8efMGPz+/BK06Tk5OtG3blt9++42NGzeqQWj8DuHxFS1aVA1cXV1d1aDB19eXLVu2mP3cAgMDGThwIBMmTEi2he/y5cvqe1E/x5ApbGxs1Fm0r169avJtF0Cddyl+i+Lz58/x8vIC4vqkLV26lFq1aiXa0pWWt89SIyQkhMDAQKP79TOHQ9wIJVPor/F79+4le93u2bOHNWvWcOjQIYMA/NmzZ5w5c8bgx5xGo6FcuXL079+fzZs3q61n0dHRmaaTf2YkwY1Ic66urtSvXx+I+7DetWuX0bTx++Q8ePAg0TTBwcEGQUNGioyMxNvb2+j+v//+G4j7QKpbt666Pf7jDRs2GD0+JiaGadOmMXv2bEaMGJFkYJhS8etibCI1vY0bN6qPUzr0PK3FH6af1Je6l5cXkZGRwP/fMoC4oOfTTz/F1dVVHb6dGBcXF/VXuz6f5EybNo0sWbIAMGfOHLVPjqlKly6tBktHjx5Nsh9H/ODH3JEz+s7+Op0u2RFnek+fPlU7BMfvFH///n311mWZMmWMLlcREhJiECTqb/tkFP3CoYnZunWr+rhZs2Ym5ae/rhRFYdOmTUbThYaGMmXKFH766Se+/fZbNSjfsWMHderUoVevXmqwmJj4kwom9UPrYyfBjUgX06dPVzsFJtUfIH4rgoeHR4K00dHR/PDDD2b3KUhPM2fOTPQXqKenp/qh1LBhQ4O5dJo0aaI2H2/dupWdO3cmmvfPP/+sBnmNGzc2OvorNVxcXNQvp8OHDyeYa0Nv+/btbN++HYhrtWnYsGGa1yUl4t/uMzb3zsWLF5kxY4b6f/wvARsbGzVQ+++//4x+kZw5c0a9/WLq8hNFixZV53kJCQlJMnhKjLW1tTrjcEREBD/88EOiQcD69evZt28fAPXq1Uty6HFi+vfvj729PRB33elnnTYmODiYESNG8ObNG6ysrPjqq6/UffHPx7lz5xLMqAxx0xqMHTvWoEUjo7+Yly1bxuXLlxNsP3XqFGvWrAHi5rwx9bXt3Lmz2tF/8eLFCfolQdyt4AkTJqhLv3Tq1ImsWbMCcT8e9P17Fi9ebDSwjf9j0ZwWu4+N9LkR6SJ//vyMHTs2wYiKt1WtWpUiRYoQEBDApUuX6NOnD71798bJyYnbt2+zfv16rly5oqbJaFmzZuXp06d07NiRAQMGUKVKFSIiItizZw+enp5A3L33t7/UrKysmD17Nr1790an0zFu3DgOHz5M69atcXJyIjAwEA8PD06dOgXE9W+ZNGlSuj2PmTNn0rFjR0JCQpg5cya+vr64urqSP39+nj59yp49e9i7dy8QN2x27ty5KVpAMj20aNGCpUuXoigKGzZs4PXr1zRv3hxHR0d1aPeePXsMAuKwsDAURVF/JQ8bNoyjR48SHR3N6NGjad++PQ0bNsTZ2ZmXL19y5swZtYUta9as6pwypujfvz979uzh5s2beHt7s3fvXlq1amXy8YMHD+bQoUPcuXOH/fv3q0tgFClShCdPnrBjxw4OHDgAQL58+VI0r5SzszNLliyhX79+vHnzBnd3d/bt20eLFi2oUaOGOsz68ePHnDlzhh07dqhfyNOnTze4RVm0aFFcXFy4evUqT548oXv37nz11VcULVqU8PBwLl68yObNmxPcWs7ofnSvX7+mV69e9OnThzp16hATE8ORI0dwd3dHp9ORJUsWpk+fbnJ+OXLk4Mcff2TUqFHqchQdO3akcePG5MiRg7t37+Lu7q62fhUqVIjhw4erx+fJk4devXqxcuVKHjx4QLt27ejduzdly5bFzs5OXfdKH9B/9tlnVK9ePW1flA9I5vi0Eh+kbt26sXfv3iQ7EVpaWvLLL7/Qv39/QkND1WGP8TVu3BhXV1eDD4KMoh/1sWzZskRHROTPn5+lS5eSL1++BPuqVavGsmXLGDVqFC9fvmTv3r1qABFfvnz5+PPPP43O9ZEWihQpgru7O0OHDuXBgwf4+Pjg4+OTIF3hwoWZO3euyf0O3oVy5coxcuRI5s6di6IobNu2LdFJ7PQLuerXmLp37566mrWLiwuzZs3iu+++IzIykq1btxrcitBzcHDg119/Nau/kbW1NdOmTaNHjx4oisKMGTOoVatWssPu9bJnz86qVasYOnQoV65c4cKFC4kukliqVCn++OOPFM95VL16ddavX8/06dO5cOECz549Y926daxbty7R9E5OTkyZMoXmzZsn2Ddr1iy+/PJLXr58yfXr1xk/fnyix3/99dfqDx79yucZZcCAASxfvpxFixaxaNEig325c+dm0aJFCWZJTk6rVq2Ijo7m+++/V4fQJ3brt3Tp0ixevDjBVBmjRo0iMDAQLy8vnjx5wi+//JJoOdWqVTP5duLHSoIbkW40Gg0zZsygffv2SXYWrlKlCvv27WPlypUcPnyYhw8fkjVrVsqUKUPnzp1p27atybOEvgtjxoyhcuXKrFmzBj8/P2JiYihSpAgtWrTgyy+/THKOjtq1a+Pt7c3GjRs5cuQI/v7+hIaGki1bNkqVKkXjxo3p2rVrqieCM0XZsmXZt28fW7Zs4eDBg1y/fp3Q0FBy585N8eLFadOmDa1bt1abzTOTwYMHU6lSJdzd3bl48SIvX77E2toaJycnXFxccHNzo0GDBvj6+qqjgfbt22ewNEDbtm2pUqUKGzZs4NSpUwQEBPDmzRvs7e0pVqwYDRo0oFu3biZNqPe2atWq8cUXX+Dh4cHz58+ZOXMmv/76q8nH58+fHw8PD3bt2sWePXu4cuUKoaGh5MyZk1KlStGyZUs6duxoMGFdSlSoUEFtMTx69Chnz57l2bNnvHjxAo1Gg5OTEyVLlqRp06Y0b97c6PuyTJky7Ny5k+XLl3P8+HECAwNRFIUcOXJQsmRJGjVqRKdOnbC3t+evv/7i4cOH7N+/n5EjR6ZqWoPU6N27N/Xr12f58uWcP3+e6OhoihYtSvPmzenWrVuKRwe2a9eO2rVrs379eo4fP05AQADh4eFkz56dsmXL0rJlS9zc3BI9dzY2NixYsIDDhw+zfft2Ll++zNOnT1EUhdy5c1OpUiVatmxJixYtMux1e19oFHMnvRBCCCHeQxMmTFBvH584ccLkYd7i/SMdioUQQgjxQZHgRgghhBAfFAluhBBCCPFBkeBGCCGEEB8UCW6EEEII8UGR0VJCCCGE+KBIy40QQgghPigS3AghhBDigyLBjRBCCCE+KBLcCCGEEOKDIsGNEEIIIT4o/wevNum0squkiQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# run recruitment experiment\n", + "means, stds, last_task_sample = fn.recruitment_exp(\n", + " data, classes, num_tasks, num_trees, reps, estimation_set, shift=3\n", + ")\n", + "# plot results\n", + "fn.recruitment_plot(means, stds, last_task_sample, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "And finally, `shift=4` yields:\n", + "1. DTD\n", + "2. Caltech-101\n", + "3. CIFAR-10\n", + "4. CIFAR-100\n", + "5. Food-101" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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2NDQU77zzDoQQ5po5BlVVsWTJEgDaJ5IXX3zRa31feOEFs7Xm119/9Vqmb9++CA4O9vu5KGmPP/44oqKi3LZVqlTJbV2YoUOHon79+h7HGjPXAPfB3cnJyVi8eDEAbf2PLl26eH3sZs2a4bHHHgMA/P333/j777991vPVV1/1Ou3/wQcfNG/nHJdUVIy1bSpVqoROnTq57QsKCkL37t0B5D6wePXq1UhOTgYAjBs3zut6KI0aNTK71uLj483WQ1fBwcFmK0FOS5YsweXLlwFoLZKtWrXyKKMoCiZMmIB69eoBABYtWmQeAwD//vsvAG2qdWBgoMfx1atXx5gxY/DYY49h8ODBbl0QhTm2uLl2Cbv+vEePHkXdunURFBSEJ554wmu9Abh1RZ0/f96vxz527Bhq166N0NBQDBs2zOeKybk9RmGe23nz5iEjIwNWqxXvv/++1y4hq9WKN954AxEREQC0sTT+uHjxIgCtq9Y4h6vw8HA8/fTTeOSRR/DMM894dI2VV+yWolwFBgaicePG6NSpE/r374/q1at7lJFSYuvWrQCAW2+9NdfxLbVr10aDBg1w7Ngxtz74vXv3mn9Eevbs6bPfuXLlyli2bBmqVq1qNk/nZEwTLuvat2/vdbtr4PHW/Qdof8gM6enp5u2dO3ciIyMDAHD77bfn+vidOnXCZ599BkAbLHnzzTd7rYuvAeCuY01cxwQVFde1bXy9Jvr06WOGYl8Di3/55RcA2jTynj17+ny8J554wuxy8BbOmzRp4vMN2AjaFosF/fv39/kYgYGB6N+/P/73v/8hKysLO3fuNAdJX3fddTh+/Di2bt2Kjz/+GEOHDnX7dwaAwYMHez1vYY4tbjabzbzt2n1699134+67784zaLl2ZbqeKz9uueUWc/xdbo+T22MU5rk1ursaNGjg8UHGVUREBG699VZs3rwZu3btgt1uz/fYm+uuuw5bt25FTEwMXn31VTz55JMei4j27Nkz19d+ecRwc5XLuUJxeno69u7dixkzZuDixYsICgpCr169MHToUJ8j7c+cOYOkpCQA2gJ3+b2+y5kzZ8zbJ06cMG/nnLGSU8OGDXPd7y2AlUW+VjF2fQP1NZvLtYzrH+0DBw6Yt0eNGpXvusTGxvpVRwBu40UcDke+Hyu/XGef3XfffV7LtGrVCrVq1cKZM2d8Diw+efIkAO1NILcWvcqVK3sd5GtwHceR09GjRwFoYzpcxwV54xq+jxw5YoabRx99FJs2bYLD4cCXX36JadOmoUmTJmjfvj3at2+Pli1b+gxXhTm2uBkz3QB4bVlw/bvy77//IjY2FqdOnUJMTAz27duHv/76y9xfmBYn43ESExMRGxuL2NhYHDt2DAcOHMDu3bt9PkZBn1uHw4EjR44A0Fo28/t3MSMjA5cuXcr337FBgwZhyZIlSEtLw+LFi7F48WLccMMNZv3atGlz1QwidsVwc5XztkJxy5Yt0aNHDwwdOhQnTpzAO++8g5iYGLz11ltez5GYmFigx3Y4HEhNTUV4eDguXbpkbi/sxfbCw8MLdXxJsFgs+eo6s1gsfp23oP8WRrdNTrn9UXR9Uyrqbg7XtW0A5Noa4loHbwOLjddWcb6ujO6W3MKRwfVTv2s3TcuWLTFlyhS88cYbOHfuHFRVxb59+7Bv3z5MmzYNoaGhuOOOOzBo0CCPbq/CHFvcLly4AEB7vXgL61u3bsW8efPwxx9/eMwyA9xbewrq77//xrfffott27YhISHBr8co6HObnJxc4NWTk5KS8h1u6tati5kzZ2L8+PFmd+rRo0dx9OhRzJ49G4GBgbj99tvx4IMP4o477ihQfa5EDDfkVbVq1fDll18iOjoaaWlpWLhwIWrVquV1mqTrtO/777/fr5kYRhdWUS4xXhRrORT3ku7+hpb8cn0ep06dmu9rXJW1QOi6to0/li9fjqefftqtSb84WpVy8ifcub62cr6pdunSBR06dMDWrVvx888/49dffzXHgKSnp2PVqlVYtWoVnnjiCTz77LNFdmxxycjIQExMDACtVcv1dSalxGuvvWaOETPUqFED1113HRo1aoQWLVogIiICDz/8cIHrMGXKFLP71VClShXzMW6++WY0adIk17WSCvLcur7uOnbsiOeeey7fdfb3emktWrTATz/9hB07dmD9+vXYunUrTp8+DUDrZvvll1/wyy+/oHfv3nj//feLJDCWdQw35FO9evXw+uuvm4N7J0+ejHbt2nksHOc6tdNiseR63RlfXM/h+mm2qOW3tcHbJ8grgevzWLly5QL9W5QFrl1S//3vf/MMXzNmzMDevXvNgcWub1QVKlTAxYsXi/V1VaFCBVy4cMFrq0BOxtgy47icAgIC0LVrV3PQeExMDLZv346ff/4Zv//+O6SU+Oqrr9CpUyePVpjCHFscdu7caQbu1q1bu+2bP3++GWzq1auHMWPG4Pbbb/doYTOWAiiIzZs3m8GmatWqGDt2LDp37mwukGlw7SL3xd/n1vXnUFW12H8XFUVBu3btzHF6Z86cwfbt2/HLL79g8+bNcDgcWLlyJW6//XafA+PLk/If36hQ+vTpY864sdvtGD9+vMfqxLVr1zZbYPbs2ZPnOadNm4YFCxZg27Zt5jbXGSyHDh3K9fjnnnsO3bt3x8iRI/3uDnFtMTEWY/MmPj7er/OWFa7r1eQ2AwrQxjl98cUXWLlypTkupSxwXdumefPm6NevH7p3757r18CBA83jFy1a5HY+Y0D0iRMnch2QevjwYbRv3x4DBgzAunXr/KqzMZ7ixIkTPrv4DK7/Lq6LYV6+fNlcoddVgwYNMHjwYMyaNQvjx483txsDpQt7bHFauHCheTvnAnzz5s0DoP1OzpgxAz179vTadViY30XjMQBtDZv+/ft7BJu8HqOgz21gYKDZArN///48WxDnz5+PuXPnmuN78is1NRX//POPx7i5WrVqoX///vj8888xefJkc7sxyLm8Y7ihPL355pvmJ+cjR47gm2++cdsfEBBgLgN+5MgRt5WMc9q+fTs++ugjTJgwAV9++aW5vXnz5uZjGIvDeZOVlYXNmzfjxIkTuHz5st9dUK4DGl2Xbnd1+PBhnDt3zq/zGkp7efN27dqZM30WL16c62UyvvjiC3zyyScYN25cvkKpvwr6XCxfvtz89zeuIZWXe+65xxwf9Pvvv7tNjzdmpdlsNq8r4Ro2b96MS5cuYc+ePV4HvubGuOK10+k0Z295Y7PZsHTpUgDaFGDj92bXrl1o27YtHnroIcyfP9/n8Z07dzZvG1N6C3Nscdq6dau58Gfz5s3RsmVLt/3Gv1FkZKTbzLucfvjhB/O2tzf93F5nrq+D3CYqrFy50utjFPa5NV4Xly9fdls13Vs933rrLbz11lt4++233Wbr5daFFB8fj5YtW6J///4eXW+uOnbsaJ7napkKfkWGm9mzZ6NRo0b48MMPC3WehIQEvP/+++jevTuaNWuG1q1bY8CAAZg7d26J9NNfKaKiosyVPwHg888/92jGde0Tf/nll71+Erp06RJef/118/7QoUPN24GBgeY6I8ePH/f5i/ree++ZXUYFWfLfdcaCsWqpq7S0NLz55pt+n9dgzJoojqnR+VG1alUzEMTExODtt9/22rplXHPKOMZYL6YoFfS5MNa2sVgs+Z6+GhYWZl6awRhYbOjXr585ePt///sfzp4963H86dOnzbBdp04dv6/BdP/995uzpD777DO3GT4GVVXx1ltvma1kffr0MQcgN2/e3BxoPHfuXJ8XpnV9oze6hwtzbHHZtWsXxo0bByklAgIC8Oqrr3qEEGMph8TEROzdu9fjHFJKTJ482W09K28tb8brzHVJhJyPAQBbtmzxWldjhpG3xyjsczt06FCztfidd97xuh5URkYGxo0bZwb6nGMWXWdi5fwZa9SoYV7XbPXq1V5fdwDw008/mecv7n/7suKKG3OzZ88eTJo0qdDniY2NxUMPPWQugARoL+o9e/Zgz549WLlyJWbOnFnmBlqWlkGDBmH58uU4cOAAMjIy8NZbb2HatGnm/nbt2pmfbk6fPo377rsPQ4cONRek27dvH7755huzaffuu+/GXXfd5fYYo0aNwsaNG3Hy5El8/vnnOHDgAKKjo1G9enXExcVhyZIl+O233wBo/fcFuc6MsRx+cnIyfv75Z4wcORIPPPAAIiMjcfDgQXz77bc4efIk6tSpYw7I84cxG+Ty5cv46quv0L59e4SEhOR5sdCi9OKLL2LHjh2Ij4/HwoULcejQIQwcOBD169fHpUuXsHHjRrN1RAiBN954o1gWPaxatSqOHz+Ow4cPY/HixWjcuDEqVKhgLhvvjevaNrfddptfl2vo27evOVbHdWBx5cqVMX78eLz++us4f/48+vbti0ceeQStWrWC3W7Hnj17MHPmTKSlpZkL7fk74DIiIgITJ07EmDFjkJ6ejiFDhmDAgAHo0qULIiIicOLECcybN8/skqpXr55bV0ZgYCBGjhyJt99+G0lJSejfvz8GDx6Mm2++2RzPs3btWvPT/3XXXWeOKyrMsQVx9uxZHDx40G2bzWZDamoqYmJisGXLFvz666+QUkIIgQkTJnhdQ+nee+/FrFmzAGhrDD322GNo2rQphBA4evQoli1b5hF6vA0yr1q1Ks6cOYOtW7dizZo1qFmzJqKiohAVFYV7773XvL7a+PHjcezYMXPq9qlTp7By5Ups377d52MU9rmtV68ennnmGXz44Ye4fPkyHnjgAQwcOBCdOnVCYGAgjhw5glmzZpmBt3nz5hg0aJBbfSpVqoSAgADY7Xb8+OOPaN++PSIjI1G3bl1UrFgRY8eOxZNPPgmbzYaHH34YDz74INq0aYMqVarg33//xZYtW8zWwsqVK7t14ZZnV1S42bVrF5544olcx0rkR3p6OoYPH46LFy/immuuwUsvvYT27dsjPT0dS5cuxfTp07Fnzx68+OKLmDp1ahHV/spmsVjw5ptvYsCAAVBVFZs3b8aaNWvcPvG/9tprCAoKwuzZs5GUlOSz9aVbt2743//+57E9LCwMs2fPxpNPPokDBw5g06ZNXvuH27Rpg6lTpxZoxH9kZCTeffddPP3007Db7diwYQM2bNjgVsa4AvHbb7/t9/m7deuGZcuWAQAmTZqESZMmoXXr1l5biYpL5cqV8d133+Gpp57CoUOHfK5AHBwcjDfeeMMjZBaVbt26YceOHXA4HOa1dfr06YP333/f5zGuA4n/7//+z6/Ha9OmjbnmTc6BxQMGDEBmZiY++OADXL58GR9//LHH8cHBweZ1sgrinnvuwaRJk/Dqq68iPT0d3333ndd/99tvvx0ffPCBxxXZBw0ahJMnT2LOnDlISkry+bfn+uuvx7Rp09xmhBXmWH999tlnuXaBGKpVq4YJEyb4fH2NHj0au3btwr59+3Dp0iWvrwvjWl7ffPMNzp8/b64n5Kpbt274+uuvkZ6ebrYwP/XUUxgzZgwGDhyI3377DZs2bUJaWprXeiuKgkcffRQ7d+7EP//8g2PHjrntL+xzO2LECAgh8PHHHyMzMxNff/01vv76a4/jW7VqhSlTpngcb7FY0LVrV6xduxYXLlwwVxZ/5513cP/996Nr164YN24cJk2ahMzMTMyaNcsMja6qV6+Ozz//vNBLIlwprphwM2vWLHz44Ye5jiHIr/nz5+PUqVOwWCyYOXOm2yj2Z555BtWqVcNbb72Fn3/+GTt37nRbDv9q1rx5czzwwANYsGABAG0WS4cOHczWLYvFgpdffhl9+/bF/PnzsXPnTpw7dw52ux2VK1fGLbfcgvvvv9+tfzqn6tWrY8mSJVi5ciV++uknHDhwAMnJyQgLC0OTJk3Qp08f/N///V+hpjLedddd+OmnnzBz5kz89ttvuHDhAiIiItCsWTMMHDgQnTt3LnAY6dKlC95//33z05gQolT6uGvVqoVly5bhxx9/xJo1a7Bv3z4kJibCarWidu3auP322zFo0KBcxzoU1qBBg2Cz2bB48WLExcUhMDDQa9eBwXVtm6CgINx9991+PZ4QAn369DEvzLpo0SK3T9HDhg3DHXfcgTlz5uC3337DuXPn4HQ6UaNGDXTs2BHDhg0r9PPRs2dPtG3bFt999x22bNmC2NhYZGVloXr16rjxxhsRHR2NTp06eR0nIoTAq6++iu7du2Px4sXYs2cPzp8/D4fDgUqVKqFx48bo1q0b+vbt67GCcmGOLQoWiwWhoaGIiopCo0aN0LlzZ3Tr1i3X1crDw8Mxb948zJkzB6tXr8bx48eRlZWFsLAw1K5dG23btsXAgQNRu3ZtHDhwACtXrsQ///yDuLg4tyUOnnnmGQQGBuLHH3/E+fPnERYWZnZdW61WfPHFF1i8eDFWrlyJw4cPIz09HSEhIbj22mtx66234sEHH0Tjxo3xySef4J9//sH58+exe/duc4xQUTy3jz32GO655x7MnTsX27Ztw9mzZ5GRkYGKFSvipptuQu/evdGjRw+ff9feeecdXHPNNdiwYQMSEhIQGRnptqbVY489hg4dOmD+/PnYvXs3zp49i6ysLFSsWBENGjTAnXfeiQceeCDXf4/yRsiSvMhIAezatQvvv/8+/vnnHwDalWP37dsHQEvEzz//vF/nk1KiU6dOuHDhAnr27Om1i0tVVdx77704efIkevXqhY8++qjwPwgRERGViDI/oPg///kP/vnnHyiKgiFDhpiXni+ogwcPmuM+XC8+6EpRFHPfxo0bi3SBOSIiIipeZb5bSgiBDh064Nlnn83zmkP54ToQLrfzGV1V6enpOHHiRIkOCCUiIqKCK/PhZtGiRahfv36Rnc9Y20QIkevS9DVr1jRvnzlzhuGGiIjoClHmu6WKMtgA2RcWDA4OzvUqua6LeBlXvCYiIqKyr8y33BQ1Y+ZKUFBQruVc1/3Ibcn2hQsXmkuMZ2Vl5boKZUGkpmdg3+HjsF+F436E/t/siSVC2ya0WwIKFCGgQAEUfYsQUPS9EIpxhP5dQOj7AQVCAG6j6UtraL2PBVZFjjsCWouj9j27hDD3AQIK9P9rM3KEfowCKIqAULTnSCjGfgFh0Z87BVC0HdB3aV9K9jZFUbTzuFTOtU6lvUIz0ZXMqTrhlE6oUoVTdUJChVM64dTvO1WH+WdK5vIHy/i7JyHNv2tSZt+GhNvfO21akb5fCrOQBCBVqe2X2m2nlJCqtkGVgCIErq9dr0h+/qJ01YWbor4a84ABAzBgwAAAQHR0dJGeGwAgVSDLBqk6tTcYAPo7ld7uVn7fTKT+3+z5fNLtG+AS+HLJfjlDkvGLDwEoUPQ3Z28hSQ9H+v7sY4UWAvQQVeiQ5KN8znNKj63eDiyaq5m7ZRQh3F5lbsHI+LLAfC5g0QOUAIT+fGpPl4CiaGdS9JCl5Uw9OAktdkqXIAdkBzfXugjh8u/oVka4BcGcxzOIUVEyAoMx6VgLAe63pV5O1YOL06lCQoUqJVTphFNVoUonVKcKJ9Qc58sZTvRII90DiRFCVCkBPYyoUoVUtYhi/KVQjTpJCVXNzjhS/zsr9eCi6mVcM4/Hz65/Dw4IAIpvRYkCu+rCjTHPP7fWGMD9oop5tfIUK1WFMz0das61UvQ/5Manc/Njtv4pO/t+disGlOw//IACWCzlPiABuYckZ84wUBQhSW/9MN6svYUkBYr+b+EjJJXyAg1uC0TIHJ8RVaBAFRSurzSRI0C5tjRpz42iGAEK2a1JZquRMF+7QhiByLWsACAhLMJr8DRPYQQgIaAY9/XvwviO7DBkhCrFeBxklzXOwdBUtPIbIIz/SNfv5rtzjpYMmX3bI0DA5fVvPLZ+23W78dhaSNECipQSTqma91Wp6i0xRsSQcKqqW71V/Vyuv2XZIUS/DdcQIvX9ehhxqVduIeRqc9WFG+P6L5mZmbDb7T5X6jQWgQLcr09SOry8PM1f4Lxfuj5LuHVtGG8WequQgHsgEorxkT37TQV6mFKE27nKK79CUi6ES+uCeV+7AQUW/SnWw5IwQpNnSDL+V5ZDkhu3T4ASni9d8/OlX6fNtZXJCCFmUDICkF8P4fUA4WVXdmgy7mcHIdfw5Pp5BML1X08/yjVMFUVoKoJfzcI8vmcLRHZgyDU8GGWMmz4foMBVy7XODr1FxaFmhxWHqn+XeheS6oSUgNOllYQhpPRddeGmXr16ALSF+s6dO+dzRVLXi+vlNqvqipb9cUf7g6MCvt5Ycv3Fc/n06x6K9BYj7eMtzDEweovS1dbNZjA/MbpsMb7lNySZHS45Q5J+RwtJ+vgjl5CkvYkqWhgyWiVyhCShzzMosyEph1xbmbSNJVeZopQzNMH41REe3WseLUx6YeNzh3HfLSy5hKgrmaqaHzugmkEC2V1CyG4J0RodtV8+u+qElCqcMLqG9HEt5ncnnHo6cW1ZuUJfTcVEQhZRV3hRu+rCjetVoQ8dOuQz3Bw4cAAAEBoairp165ZI3a5Yrv3DAHL75O27FSlnQDJCELvZvDH/zOYMSfqdgockz0HbZkhS3O8bnW6eIcllH66ckFTmSM+b2mcQiUI9kbmGJvfQY7Q8ubYw5Sc0ATDHVxlUNXv0hyq17hi4dc9kt+CoyG7hce22Mb67hRj92TAfTS/jlNqAXO04bTyLqocXowvJ9ZzlS3b3mza4xmhPyrHPHMejbzD7wKTLF1z2ZW8zu/BCQkv4Z8ufqy7c3HDDDbj22msRFxeHjRs3er1+jaqq+OWXXwAAHTt2LPJByOSFR0DKpaivHexm85tnSMrZbl6wQdu+QpJFf46NQdvCR0iC3uLEkFQMcg1NOQr4K0dwMv/NZI6zFuQhhHEeFVKqUKFqXT/QAotU9VYY6TQDjjkotszwFjpUyOwfzi1geISOHAFDHzEMIHt0sPvf0JxPfDH9TGXQVRduAO3KxFOnTsUPP/yAgQMHolmzZm7758+fb16C/uGHHy75Cro4l5SJSxkqhEMiQAGsCmApB03JxaI4utnMgMRuttyYHQM500cxhCRv0/9dQ1L2LKl8hKT8/3CUHzmCU76uXGj8W0tAhdZVlN3aog3GNVtc4HQZMFyUwcUlWEiphQZIH6FDj4FGsHBt3ShToePqVm7DzbBhw3D+/HlERUVh9uzZbvuGDx+OZcuWIT4+HsOHD8e4ceNwxx13IDMzE0uXLsW0adMAaFePvvXWW0uj+gCArbtOYtqsPbCoAHL8QbboIUcR2m1FABahrVViEdn7te/C7b6iAFYhsvcr2m2rfh6rvs1q7s+eVeL2Xu2tgcM1dAmXXSLHd7N4Lud1O87LeXPmBuNUOcp67PdxXuGlrNsn0VzO61EfRck+xmXqNCxGa1F2KFKMVqSruJvNUHIhyexU0fYKb0e7HZn9Xx+vd5Hj30m47fN+9pzT2d1veXu9iZx7vPKoi37f9W+I8DinZw2kl30ej+Vll9vjwGgZcugtLRKQTjihaoFFH6CrmqHG6EBx+bf3CB06FdndJ9BbOly6u9xDh3Qr6zV05CuN0ZWg3Iab2NhYxMXFeZ3yHRYWhi+//BKPPPIIEhIS8Oqrr3qUadGiBT788MOSqKpPNY/EoMPpFO9/PYqYCiD3yfFUInK8r/kMeW6BKucbrv5m5HoubyEux7Eix2N73Zfzjq96eATUHPWB72DrdZ9rSMm5TeTY7nFO4VJHQAlQYAm1wBJihSXEon9Z3bYpgQquhNZR7zX0stXLU52fs/osbySWnC0eBqP1AgCgauNtVFVfEE51358zdJibGTqo4MptuMlL48aNsWrVKsyYMQMbN25EXFwcFEXBddddh169emHw4MG5Xp6hJDQYeCcq3HIMh7f8DiQkwJKSCiUlBZbUVFhSU7T7aalQUlJhSUuFMFcx1tf20P84O0PD4AgLhyM8AlkRFZAZHonM8EjYQsORFRIGW0gYbEEhsAWFwK5Y4VAFHCrgkBJOFfpt7btTddmmAk4J/b6+XbqUcfnw5bWRxW2f9NhmtCZZhfZl0b+M+4rish16S5OQZjmLEG7HKfp+s9XK3AZYsp+u7BZjt1Zk9z/cnvuNYjn+CMsc+wt4Xo9zS2/7vZxXGs+sNAOPlPCWZCABCGMFPeM+AOmyLWfdsusr3eokPSoEl+coR/nc9pk9AdkbZM593ubXupzH7TmVgGpX4cxwQM3KZdC1ImAJscAaYoESYoHVDD+uocglHIXqochasle08f6W72WrMQjUpQXEaCVzbf3QWj5cu1t8fbm+HqWvihCVGiHzM4KT8iU6OhrLli0r0nOmpqTg7z/+hj0rj3YVKaFkZMCSnAxLSjKsyUnm7ext2bct6eleT6MGBsIZEQlnZCQc+ndnZCScEZFwGLcjK2hlwsPN7hfvVZJw6qHInuPLoUrtttt+qe/LWV56bHO4lHfd5ijEq9kIUwE5vqyKyL5vlhF5l1Vczyc8tlkFrojWAQBmGCqK2WxaF4WxSqvWFaFKp75NXxDNZdComqOcNvnU2Oby3bUcjIXT1Ozz6betIgChljCEyFAE2UIQmBWMgEwr1EwVzgwnHBlOONMdcGY49S9H9vd0J6TT94tMBAhYQqx6KNK++2wlCtZDUbBFW4fH5NIaoqpwG3BqBpEc4z7cBppK/b7q2QpSBH/uVan9PtpUwObM/h21qYDdqW9XAbtTwiG113ugIhBoAQIV7SvAIrTbLtssyhXyu0BuQkJD0bbzbaVdDQ9XbctNuSME1NBQqKGhsFevnndxux2WlBRYkpP0AJSiBSLXMJSYgOBTJ2FJSYZQPT/lSiHgDI/wHoAitBDkiIgwA5EMdm0JK54/ZMYfXteQ5JDeg5A9R0ByD1DugcrmBNLs0msQ8/LMaF9Ce4MRQgJCBYSqtakJbdyAECqsioTVon9XVFgtElYhYVFUWBTtu1X/bhESFkVCUVQoQnW5DShC1W9r59W+SwhFhdDrIIQKKaQZDrTwILNDhcs9tz3SyzYzdsgc5XzuNbeVRcIiEBIRipAKYQhRwrTwo4Qh1OW2cT9YDUFgZhCQCTPwONLseghyCUWZTmQm28zbubVuKEECliAFlmDtSwlS3O5bgoTLbQVKsAIlQHiEY+MDhc3ldWtXAZsqzeBhN4OJNG/bXcq5hhR7znL6V3GwCLgHHov2ocB9m3Y/wMs2LTTlCFL6d07CuPow3FylZEAAHJUrw1G5ct6FVRVKejosyclmAFJSkiBSkqGkJENJTQbSUiDOnYASkwrhyIIiBCwWrSVDVQScCuAMDoI9Ihz2iHA4wsPgCAuFPTwUjrBQOEJD4QgLgSMkBI7QYDiDAqAKeH1L9fam7PEGLSRURYVU8v+m7LrfiAAWSAiosEJFsN6q4O0sOd/GC/zvAsCufxUlqQpoS9Ar2nepLecHKFpXlLFyjTTmHRnX1tLXRRbGPQsUKLDo961CgQUCFqHtsQjttlXot6FAEa5nUrycXdFnPClue91LumwT+i2hX8QTFiiKBYqwQAjttrbmihUWWLTyFu27BQrscCDdmYp0NQ0Zapr23ZmGDDUd6TIN6Wo6/nXEI12mI1Nm+HxOgxCE4MAQhAaGIKRSCEIQilARghCEIESEIgQhCBWhCBEhCJEhUGwWODJV2DJUZKWrsGVKODJVODKdcGZK2LJUyCwVMtkJ2BwQNhVKLk2RqgDsVgGbRUGWVSDDoiDToiDTIpBl1bZlWRRk6fcz9bLOHC0kAu5hwWhpDLQA4QFAYJDQ97sHC7OcGSqM44W536poHwBsZouONG9rAUqaLUDZ37UglqXfT3cAl23S3Gdz+t9Cq8CljmZds+sZaIQi1+fByzajXM7ni8Gp7GG4KcPS7GlYdfonnMo6BbvD7vHpOrvJ3dvn4xxvuz7elD22SR/7AiTUa1TIa7L3uQvVv6Ly+dM5AaToXz52+8nnm6HrNpHLm6Z+26K/gQu3N2XhZZv7G7/nmXK+Ked8TB+3RK5nAaSACgWqKqCqCpxSgVMVcKgCTtW4nf1dGx8lcu3Wy27lcm/hMvbl0hOTJ6vI2XXnvVvP2J5bt57rMRb9HDnP7717Q4XRxhYAINR8vVY1S2jL7bu3bmSpKtKcGUiT2leGTEcGMpCFDGSJDNhEOi6LDPyrJMMpzkO1ZOgtc56ktEC1hEANDoFqDYEMDYHqcP+S5u1QSGcQhATCnBJhUkWYKhHqVBHslAhRJYIcKoIcKgKcEiF2FRF2FZZMByx21VcVzH8QxWgJClJgDXZpIbIqbi1EWiuS1qokiqTbqGhCgKq/TnOGIteuspzbcrZW2ZxAphNItsnsViv9WH9e7t7CYWDObrccQcmtTI5WqACXbQGuM1XJLww3ZdjJpBOYf2yetigVtBkweb55+3pTdvmvBVbfb8re3lg9tnl74zXWIMlXxMgupwpYMzJhTU+HNS0d1tQ0BKakw5qWBmtKKqwpqQhMSYU1OQUBSckIyLJDqIBFlVBUCUUFFFVChoRmjxUyu8WMrrIKLl1lkVBDQkpkBlqxK8G1JZ1euvv8HSdlV6XeRZhdPtMJpPjo7itonlLgMq7JLUBpYUhKl66aHN033h8zSP+q6PWxXFstrBaJQKsdVmsGLIEZUKwZEJYMCGsGYMmAtGRAtWbAEZgBp3IZdpEBp/DeTicgzFagUIRoLUDGfaG1FBnbQvWWIu1q9fqg6SwJZ6YKZ5aqjSfSbztz3LYlOMz7uXadBXp2jRWk66woKEIgyAIEuf0OFM3jSOkegFyDj1tQcunqy9kyZbym0h3So0XK33ZdI+y4tTC5jV/y3hUXqIgcrVWeLVOW8vB30AeGmzLspipN8c0ds/HPrn/gzHKUz6ZPBUCE/pWDRxeNlBBZWXrXmD5eKFkfKG2MFUpORuDZs7AmH4QlLc3rQ6rWADgjI7Sw4xqIIivAqY8RchiDpiMitIGwVzmL3s0Y5PFUFM9r0hg7kp9B5B5jp6T38kZZASAsAKhodKm4vgm4vFkEuN13H//hOoDcUyCAsHz/rHZpRyYykC4zkIEMpMt0ZOi3M2Q60vXvF+VFZMgMZCLT57mCEJzdNRYUgpCgHEFIhCAUoQgTIQhBOAJE9oWDpZRQbdIt/KiugSgre58jU4V62aGVseWSiIQ2nklYoF2+wyK0dTBdv7tt81FWvw1vZfNxnK+y8NKlJIQeFCzQmvmMH6QIuI6J8mh1croGKu/dda7joZJt0hy8bbRI+dvCWpBxTkE5BoRXUwvQzF4CGG7KOKtihUVYoYqy+QIqUUJABgfDHhwMe7V8dH85HNq0+eQkWF3Cj9vMseQkBMad0cYRORxeT+MMD8+eOWYMlDbCkd4qZLQWyeDgIv6hr05Cn8ZvVYAQ9z1eyxq7FOOSGvrFJLUrb1i0MUJCgaJo3+1OOxwOBxyqA059GfzSmjgaIAIQgABEiMh8lVelqgefDKQjRxCSGcjQtyXJJJyT55CBDJ8DuQMQoLcG6S1CSghCwvQvs8VIC0bhCEEQgjwHMTulFoBcWoVUl1YjqUpIp1bOvK1K/b62XXVIwCahOrUZYV7LFtOfQNcgBAVQ9O+e4SifIS2Xsub59XAQlDOkBXg5zo/uQKfqGniyZ625b8s57skzXPk3zikVbdql49rKZesaUww3ZZ3FAktkJJz2LMApIaVTW1hGVQGnE3BdFIvcWa1wVqwIZ8WKeS9QKCWUjHRYklN8h6GUZATFnta2ZeQyld515phrAIqIMG87IyPhDMt9Kn15YF4KwW3xwex1c4zb5jb9k7TxB11RFPO+8aVAgcViyR6obDE6O7X/Go+nyOwukeyF9LVp1gICUgpzxVyH0wmnwwG73Qa7wwG70w6n6jQXnytLFKEgDGEIE/lrHZJSIgtZ5ngh1wCUroekDJmODJmOS/JfZCADDngP+goU711lgaEIDQpBSKR7V1kwQrXnOsf/ALh9z97u+l+4bVf1AGqGIofUrgiuaqHIMxBBmw2vb4fL9uz7MLcb951OuO3Twha0VU6NbU7hth+qAJyAUIu+JVMKCSgS0iK1+QCKBCwSUt+mbVez7ysu+xQ1e5tFhVRUQJHarExFhWpRzX3mBIwAVT9OhapISIsTqqLtdyoqHIoKp9BuOxUVwQHBqBDevsh/7sJiuCnzBGBRIBAIBPhoHFUl4NSWNodThVSdLuFHzV64i3wTAmpoGNTQMD+m0ie7rSXkto5QSjICEhIQfDL/U+kdLt1ixlpCrlPrZREuKukRNlxv59xmrm2jt4wo2g5jaRvtqtD6CsGKdqSx7p+5UJxxOgXQrv+kn1sBFKnAYlG02U5SaIEGChSpP47Ug44UZr2MK0ZLyByDz7MXlstvJBHQm9mtgQgNDXIJPqq+IKUTDrsDNrsNDqcefJzahRqvhGXChBAIRjCCRTAq5fMYu7Tn6CJzDUPp5r5kmYwMmYEsZBXrz+BBwKXLqAyRgFAVKKoCxal/VxUIpwJFtbhtU5wWs5x5jMt24XQ9j3asRbWYZS1O/baxX1Wg2BWXc1pgUQOgOC0QqsjeLov2A5Uz0IG0thkIr+FlbEEpYri5QnhbINakCEAJMMt4BiBtpTwpVS38yOzgk936wwDkD20q/TVwVL4m78JeptJ7W1gx+PgxWJNToGR5H1OhBgdnBx+9BUitUAHOCpFQK1TUblesALViRciwMK1ZW0snWkuIHkakhMvFI43goW2UAIS+zdhvfPIGjJeIsWAczEX6pH6M0Kd0W/WAYhGKNk3bmOmlh5XslhbtBNolg/RP6d4bDdw+9Rc5fcXd7JWQNQoAxaIg0BqE8LAQbbVmqV3gUZUSDocKh8OOLJsNDqddawFStZbVKyH4+GJ0lUW6dJUZQRbQrlVnVQQsZiubA1n6jLJMpCPNmY40mY50NVM/Vhj/+lD1f3ftpWQEyexFkYW+3fgfAPOWyHEr5z54Ocq8LbydMbuU5zlyO3+OswgB4WWf+/lze2yvNdb+V8RjLaWqt3y5dPe5dhPCpbswP12KQWFBqFIlH38HSxjDTRlnUYBKYYFwqCpUc4l0jTT+IBsLksJ429HCSvaipRIyQEBKCxDgPSBJKQGHQ39zUT26v9j6o/HW4uGty8WjmyUsBIi6RmutAeBUhNkiYrR6SL2pQ9iyoCQlQUm6DOVyEixJSfp97ctyOQmBl85DiTkCJTkFwsu/i7RY9NATqQWeCpFwmkFIC0Hm/goVgACrnm+E289lTF+35AgrAtoaNmZY0buBIIUZoKC/Nn111hdrWClK+u+QM8fASQVAoNWCoAArIsJCAQhIVdV6KFQn7A4nHDY77A4b7E4HnE4nnE6ptayWQdnhRb+Yrh5eFEVoC0jqKdSSmQElOQ0iLQ0iNQ0iPV27nZYGkeZyOz0dIiMDsFohAwMhgwKBwEDIgEAgKFBriQwM0r4HafvVwECoAYFwBgZBDQiEGhAAR2AQHBYrHNZAqIEBkFYrjAt6kv+07l2gqAZJh4SGwhJQ9iZdMNyUcUJozfTWIvpdNsIQpNZsr7o27yPQDEyAy4V4jXIOh9bvbXdo+5wOSKMbzGF8Us3+VG++bZXQ+1dhx3cYny6huHSzuAQPb90sRvOFFNBWIpZaH7kQwu06SeZxyB64qv0z5HhyBIAgAVSrqH3lxalq1xtLSoKSlAzL5SRYkpL1EJQMS1IyLElJCIg7C8vlJAib92nHMjwcsmJF7atCRaBSJciKlYAKlYFK+rYKFaFWrAiEBJtvgm7ncBstcZXQx4E4c/SBWSBgsQZABAZCUcK11h4p4VS1cXM2pxN2mw12uzaw2amqUJ3OYm3tMcOLw4GAzAwEZKTDmp4OS2Y6LGlpsOohxZKWCsUILKlpQHqOwJJLHaUQkGFhkKGhkGFh2mvFboOSmgrYbBA2m/v3Av68MlALR6rxPSAQMjAAamAQZECAtj0ge392GZfbQe5ljGOybwdABgSU+3Fx5RXDzVXGfNOGMfTSH97HfBiBSapOSIcDTikBh1Mbk+CUkKpDnwUhoY3O0wZySv0jvtEcrbX4G2M2pNmKIBWhXz5AqzdcQwj0eOHRzYLsNCK8dbPoZaXL27HMbknwGjzcfug87hcT1wAnhICwWCGqVIGlajUoQh9kKyx6OQUqtGZ/IQQcqoRIz4JIugwkJkJcTgQuJ2q3ky5DXE6EuHwZ4vRpiH/+hkjxvsCiDAgA9BAkK1aCrFgRqFhJv+9yu1IlILLC1TuVXh/86nRpqFH0/4ZaLRCBQWYIVqEtoOlUVdgddthtdtjsdjidDjhVCdV1Jp+UEDYbLGlpUDLSoaSlwZKeBktGOpR07cuanp69LS0dSnqq9j0tDSIr9/ExMiBACyhhoZChYZAVKkCtUUPfpm83boe63A4LA4KD8x8G9A9MyLJB2G1avbwFIJtNK2OzQdiyAJtd/27TwrotC4pexmKzARnp+jFZEDa7ee6CBik1IMAtSHkPTQGQgUF62SCthckMWkHa/oBAqEG5hC4GqSLFcEMAXFo7ctlmtnIYA0mhNW8ab7RGF4u533WbBKTQxvzAdcyPdOq3nRBOpxkqpHmhRL0FRKiQUmgtRnrrh9THfBitTarRb6+fQ1WlWd7oWgCyy7g2L5lDSUqYW1gxxgXolzDIDiuK28rKkNoiZkLql0swuoGgPyeqrx9Em0ovg6sDUXkPmobDASRd1oJPYqJ2+7L+lZQIXNa2KydPAJcTIbxMpZdCABERWgiqUFELPnoLESq43DZCUnCIxznKI+lwQGakQ6SmAqkpUFJToaSmIiA1FSHpqRBpaUBaKpCSAqSmAKmpEOb3NAinj4FJxvlDQtxDSFR1OMPC4HALI95DCopw4HquhAACAoCAAEiEFd+vn/5nzOlwAlmZULPskDYbZGYWZFYW1MwsyCw7hC1TC1B6kFJseuiy2aHYsiDs+nc9XCl2O5SkJFhtNih2/Ti7flwBZ9ipAQF665FLK1SQ9j07NOUISLm1Pnlszz5veQ9SDDdXANdxEMZ9t/3GNsXoSnFpockreBjnVaRLd44wWzuESzlfHQ757YjQ2ory+IVy6iHHqYUeRf8Oh0Mb++N0Zo86ND6J5cxlRgtPdn+UeVuVEqp+O7v7TejjXVz3uYxnQnZgkir061FlByrXTqfsHjHj8fX1VoQCi9CvbySEFly8hRWj5cq1S8tnWCnmUStWK3BNFchrquT9GFICaWl6a9Blt5YgXDZahi4DMUehJF3W3ry9nSYoWA872S1DHreNIBReygss2m162EjNDh9pafp3l+1pXvbn1b2jKBAREUB4BEREOJTICIhra0KJiIAlIgIiIgIyXAsjzvAwOIND4QgJgi0wCI7AIEAIvZurbE1jLxX602yxWIDQMFhcl2MR2UWc0D5IOSHhlAI2VfuA5NA/KGkFZf6GHjocXsORsGVBcQlHwuYSpGwu4chLuFJSkmE1j3cp6yzYGC7VGqC3OHnpsnPr9ssORJ6tUoGwRFWH7NS2zC0yy3BTxikWBSGVgty7WlwCTFEFD/eEIF1uSbfvxU1YLIDF4nOomznwWVW1704VcGrBB04nYNcHRRuDhbTKG//R41XOcS6uIclLYDIDojEzwlgQzqIFFv1yEq5rrEDVHkl7LItLy5LWVaGa3XESqmtggnZfq5NL2Mw5dqesDWwRAggPhwwPB2rVzrt6Nptbq5BIuqyFID0Y4XIixMULUI4e0cp5m0qvKEBkBb31pxKgd4uZtyu5d5V5tEhICWRkuAQPLZC4h5S07BaTnCElr+6doGAgLAwyPEJ7bqpUBerVh4yIgAjXAoolIgJKhQhYIiNhCQ+HNSIc1sgIKKGh+svRj39oRVvA0ClVOFQJu+qEUwXsTq2Ly26zwelQtbFyV/hsriLj8utu1e8EANrvnwXahcuEon0okloAUvUPNg4JqE4VDrNV2BjPCMBqhWq1Qrt+WTFzOrWgk+UejoTRouQWprKyw5bN7hKgbG63LakpLgHKJUz5Wuj03jthrVu3+H9WPzDclHFCERCB3sNLSQePskDoTdkCAIKCvJYxWn2k3t0lHTlaf1RVzw7C/G6MVdFaVaxaawsUvUVF6yYSEFCkvtaLa8CQvsKG8Yas/0EwApPrb51waclyaWGSeitS9ngkaXbLaV1x+n1kd7up5sy57O9GoFJV17FF3rrlSjgwBQYCVatBVq2W98OqqhYqPFqCXFqJEhOBc/FQLidCZHqfSi9DQrWgA2QHlVy6D6QQQGiYFtjCwyHDwoFadaCGhwHhEdr2MD3Q6fe11pZwKOERsAYHIcCiwGIRsEBAEYBVSFiEfjHE3JZfKEjw0H8Wi/4VpFj0C21ZgJBQQAg4pKp9qdrChTa7HXa7HXaHA6rDAVVfv4czI3X6L6DR5mw1xvQZX1ZFf161ck4ATimgqhJOfQC5099WH39ZLJCWEDhLoktXVd2DUJYNQRUicW0ZCzYAww2VE67ddoolABZrkLa+ist4FeO2gIBwqvqFN7Uv6XBoLUF2u94y5NL6kzO8FGVTv+tfO5cWJgHAAi/73FrwfPylFDm6/kR2YJKAPshYC0xaKNK65YzAJHOOYzKOyzGOyQhQRv08AxOK5k1SUYDISMjISMg6+fgjmpkBkZSU3RJ0OdFlvFCi1mVjBpOI7OASrt83WltCQ93HJehdvUJoXY0BioDVopjrvSgCsCoSCgQsRt+i6wxCg/GaKkl68LECsBp901YFCAgEhIAUAg7VCbuE9t3phMNug93ugN3hgHQ4teAjGXxMLh9ujDdSK5Dd6qO39kqpBx5o600as+ucTi0AqTlbfcoyRYEMDobT5TIz1tCyddkFA8MNlUluY4ygj1nxEVYUoehvOIo5tiVPeaxuKvWWnuzuLydgt2eHIIcz+498Wftjn7M+MjswaXOoXNMH3Lvl3LroXBiDucz72YVyjmPSgpD7OKbsjKiPW3IJTK7jmIzWJjMqudw2c1Nez3dwCGRwCBBV3b/3CnOsmhZerIpAgB5etLVeYK73YoYXsz5uia7sv0kZ9AAmoP1KBACAYtG+AoMARYFTAA7phENV4XCqcDgc+owuBxwOJ1SHSzdXWftdKE36y8K1ywuA8cnF7PJy6r8XRgBS1ewWH6fR4lpcrT7lGMMNlQhvYcUMI8YKtkbXj8sFDvMdVoq6vvkc+2MGH6fTJfg43Ft/tANKrO7FwiMwmf/xfxyT0RiSS2By75aTemuSMIOPagYr98CkbfM+jsm1+1ZAwGrRAozVougL1pXD8FIYUgJOZ3Y3FxStJSvQCgSFQIYLOBUj+EjtQqQOJ2wOG5x27ZIVqrEyOsDwk5Oe+I2/bmYA0q9+bsz+cOhPm2oEID34FGig81WE4YYKzHWZcLcpyy6hJHufMLuJSiOsFDVj7I85/scLqapaa49H648TcOjfjTfKq/EvUy6BKc9uOV+BCchzHBMAhpfCkhJCSlhVvZsLArAE6q0RoVoXjAAc+to9Timhqk59pXUnnE7VDD5Sldq1upzu18EzwtBVOfDZS5cXAB8Dnb11efkY6HwVYbghk9u4FT2EuIcVxZwZpBjTmV26hcidUBQgKCj31h8j8OQMQOb2ctT6U1LyM46JT2Xx0MenGQNwA4w+GAHAYoW51LoQUKUKVRFQoWotcIqEU1XhULXLvzhVCafTaQ6Ql/qYH+0q32r2NZKcqtldaQYioy7llf6ByKPVVOsDMwc6e3R56eN8HCUx0LmUMdyUY25hBVpXj+vicOYMIGFhWCkFQghtLRmrla0/dHVwCeoKAMUpYTa/qdqIMAD6xYABBGirmatCv8yFULU3aUj9S4VTdUJVVThU7SLAKmAuTiX1iwKrqtQuEKyvXSP1L7eWofLSSuTS6uPR5WUMdNa7fLPX9tG6eLVAKeGE0eV15bb6MNxcQXyHFWMac3ZY0Va5ZVi50hW49ccY+8PWH7oSubxeBQCLBAABq/TSpS2E2VWjShVOSEihzUJShYRTOvVB705oGceRPZjdqb+Bq9r5zTdyFXorEcyuM7OVKGe3mWt9rwQuPbrua/vA99o+0IKiQ2pdXq4DnYXPv06li+GmjFOEgkpBlczZQEZgYVghwI/WH9fQY3y3O7QFEB36SrZs/aH8crk4LaAvcmnVB+ErirZytMWiDcyX+lILroPunWrRBe6crUEQ0KbqQX8jt2bXWUCfnq0FH9Uq4YRqhiEtCKlwSiecUoUKFUIq5rIJgNDXAdKvT6ddEE97KFULAKrM0UrkVPXQJD2CUZnk1uWVY6Czl7V9lOCyeRkHhpsyziIsCAm4Oq63Q8VDKAoQGJjr5yuZ18yvonwzorInZ1hRhHtAURQtQCv6jCmLfnFWi0Xb7ueHLSmlW2uje/AppvFmXlqDLBAIgMWl2yVAXy9BmM+FE9q17rRWIBVSwAxBqh6CnKr2AUECZlcQpNYCIoyRXlILXVrAEVprkd5SpEoV0mm0FuldZqpnGCr1ViIvA52tZbTPiuGGiCAK2vqjvyGx9aeMKWhYsVqzbxdr9UTegdt4zRnfHU69pbEElluQRkuNMW7FaA1S3FuDFP0nsAp9TJDUB/BqrUFOqeotQUYQMgZIqxBK9pgWi/4QAkYgchkLb7QSqdpK9UIPRlJVtSUOVK1lSF6JrUTFiOGGiPLE1p9SlldYsbh0CRlhxbV76Arsxs7Xa84jdKslF4Bcz6e3Bln1riv31iBkhyC31iAnnMbYIH1wtKq3AhkDpaXeZSakhLRI82KrQjEamPRL7QpA65Cz6FUSLgupZ7cSaRf/1ccPubQSlccp+Aw3RFQk8t36Y8wAc6qAw661+hjfr5bWn6swrBSHfAcgtwH3+uvOCOB2h3vrRnG89sxza//RWoMUPQzlYMluDVKlClVADz7SbA1yunSJqapDX7BS/9IH+rqtj6n3lZkrkxnrP7m0EkmpXWvPtZUIUmQPrjZaiXJMwRdK2XwtMtwQUYlweyNyuTaNK4/Wn5zr/pTV1h+fYcUKYVE8w4oxToVhpdjlNeMQgPfLrRjdrc4SCkBmZXIMkJaAOUXeW2uQ1dt0eaNFSA9CqlMfJO3Ux+5oKUaqqtvK3eYtxSUbWYyFWo1uM20quRBWSFVCWPK4lk0pYbghojIjz9Yf14GoPlt/9DehwrwBeQsrViugWDzDimtAYVi5IuV1uRUgjwBUlK+9/PJnurzRGiS8T5fPHhfk0FeTzm4NgktrkBGKgOwgJMDZUkREheI2ENVX609eqz471eyAkjOsGINtGVYoB78CkLeWR3PgfQkGILNieU2X13lpDVJl7tPlJbuliIiKX37ehIiKQ74DkBG+3QbeO0t/3amCTJdXyua1AhluiIiISki+ApA50yvnquNl6LIr5nR5Na+SpYLhhoiIqAzJ19gzb11grlPgy0IAKkUMN0RERFeQfF12Jed1566yAMRwQ0REVM7kOwD56gIr68sv5IHhhoiI6CokhAACAoCAgPwFIG9dYE5nidY5vxhuiIiIyKv8BKCyqGyuvkNERERUQAw3REREVK4w3BAREVG5wnBDRERE5UqBBhRfvnwZv/32G/bs2YPjx4/j/PnzSE9PBwCEhYWhZs2auO6669CqVSu0bdsW4eHhRVppIiIiIl+ElPmfuP7zzz9j/vz52LFjB5wu079ynsL1InMBAQG44447MHjwYLRp06YIqlx2RUdHY9myZaVdDSIioqtavlpu1q1bh8mTJyMmJsYtyISHh6NBgwaoUKECIiIiIIRAeno6zp8/jzNnziApKQk2mw3r1q3D+vXrceutt2LkyJG4/fbbi+0HIiIioqtbruHm9OnTeOONN7B9+3ZIKVGxYkV06dIFHTt2xC233IKaNWvmevIzZ87gjz/+wNatW/HLL79g9+7deOyxx9C+fXu88847iIqKKtIfhoiIiMhnt9TixYvxzjvvICMjA82bN8fDDz+Mu+66C4GBgQV6oIyMDPz444+YM2cOjhw5goiICIwfPx59+/Yt1A9QlrBbioiIqPT5DDeNGzdGgwYNMG7cONxxxx1F+qA///wzPv30Uxw7dgwHDx4s0nOXJoYbIiKi0uezW+qVV17BwIEDYbFYivxB77rrLnTt2hXz588v8nMTERHR1c2v2VKUO7bcEBERlT4u4kdERETlSqGvCn706FHs2bMHiYmJCAkJQf369dGyZUuEhIQURf2IiIiI/OIz3HzwwQcQQuCZZ56B1epZbN++fXjrrbewd+9ej31hYWEYOHAgnnrqKQQFBRVtjYmIiIhyketsKSEE/vzzT49WmM2bN2PMmDGw2WweqxObJxYCDRs2xNdff41rrrmm6GteBnHMDRERUenzu1vq/PnzeOaZZ5CVlQWr1YoBAwbgzjvvRM2aNWG323Hs2DF8//332LRpE44cOYL//Oc/WLRokdslGYiIiIiKi9/hZvr06UhPT0doaChmzJiBW2+91W3/DTfcgHvvvRfff/89xo8fj3379mHp0qXo169fkVWaiIiIyBe/Z0tt2bIFQgj85z//8Qg2ru677z4MGzYMUkr88MMPhaokERERUX75HW7OnTsHAOjWrVueZe+//34AwLFjx/x9GCIiIqIC8TvcBAcHAwAqVaqUZ1mjTHJysr8PQ0RERFQgfoebJk2aAABOnTqVZ9nDhw8DACpWrOjvwxAREREVSJ7hZu7cudi9ezcyMzMBAH379oWUEvPmzcv1OFVV8cknn0AIgZtvvrloaktERESUhzxnS3300UcAAIvFggYNGuCmm25CQEAAvv/+ezRt2hSDBw/2OGbv3r3473//i7///htCCPTv37/oa05ERETkhc9F/D7++GPs378f+/fvR2JiYvYB+no1UkpYLBb8/fffbisYd+jQAZcuXTLL9OzZ0wxI5R0X8SMiIip9PltunnnmGfN2fHy8GXSMr0uXLiEqKsrj0gwOh8Nctbhfv36YMGFCMVWdiIiIyFO+FvGrUaMGatSogbvuusvcdv78eZw9e9ajbNeuXVGhQgX07t0bN954Y9HVlIiIiCgffHZLkf/YLUVERFT6/J4KTkRERFSWMdwQERFRucJwQ0REROUKww0RERGVKww3REREVK7kayp4WXD48GHMmDEDO3bsQEJCAipUqICmTZti4MCB6Ny5c4HPu2PHDsydOxd//vknLl++jMjISLRo0QIPPfQQOnToUIQ/AREREZWEK2Iq+IYNGzB27FjY7Xav+wcOHOj3YoGqquK///0vvvvuO59lBgwYgAkTJsBiseTrnJwKTkREVPrKfLfUgQMH8Oyzz8Jut+Omm27C7NmzsX37dixduhTdunUDAMybNw+zZ8/267yfffaZGWzq16+PKVOmYPv27Vi/fj1Gjx4Nq9WKhQsX4rXXXivyn4mIiIiKj1/h5tSpU34/wMmTJ71eXDO/Pv30U2RmZqJWrVr49ttvcdttt6Fy5cpo2rQpJk+ejO7duwMApkyZguTk5HydMy4uDtOnTwcAXH/99Vi0aBHuvvtuVK5cGXXq1MGoUaPwv//9DwCwdOlS7Ny5s8D1JyIiopLlV7gZOnQoTp8+na+yqqpi2rRp6NOnD3bv3l2gysXExGDTpk0AgBEjRiA8PNxtvxACL730EhRFQXJyMlavXp2v865atcrs4nr99dcRGRnpUaZHjx5o3bo1AJhBiIiIiMo+v8LN+fPn8xVwDh06hH79+uHjjz9GZmZmgSu3detW83aXLl28lqlRo4Z5Dav169fn67z79+8HAFSqVAlt27b1Wc4YUPz777/DZrPl69xERERUuvwKN5GRkbkGHJvNhkmTJqFfv344ePAgpJSoV68eZs2aVaDKHTx4EABQtWpVREVF+SzXpEkTANmhJS9JSUkAgJo1a+ZarnLlygC0n+vEiRP5OjcRERGVLr/CzbfffotKlSrh3LlzHgFn9+7duO+++zB9+nQ4HA5YrVY89dRTWLlyZa6tI7mJi4sDANSqVSvXckZISUhIQHp6ep7nDQsLAwCkpaXlWs4IQQBw7ty5PM9LREREpc+vcNO4cWPMmTMHUVFRZsDZv38/3nzzTQwZMgQnT56ElBKtW7fGypUrMXr0aAQGBha4comJiQDgdUyMq4iICPN2fgYVN2zYEIA2QNoIUN7s2LHDvJ1XECIiIqKywe+p4A0aNMB3332Ha6+9FufOnUO/fv2wYMECqKqKChUq4J133sGcOXNQv379QlcuKysLABAcHJxrOdf9xjG5ueeeeyCEgJQSb7/9NpxOp0eZX3/9Fb/++qt5n2NuiIiIrgwFWuemdu3amDdvHurVqwdjDcBOnTph9erViI6OLrLK5XfxPH81atTIrOcvv/yCRx55BL///jsuX76M2NhYTJs2DSNHjkS1atXMY3y1QC1cuBDR0dGIjo42W5qIiIio9BT48gtRUVGYN28eHnnkERw+fBj79+9HQkICKlWqVGSVCwkJAZB3a4zrjKy8WnkMEyZMQGJiIjZu3IgdO3a4dUEB2sJ+EyZMwMMPPwwACA0N9XqeAQMGYMCAAQBQpMGOiIiICsZnuJk0aVK+TnDzzTfjyJEjSEhIwLBhw3y+wT/77LN+V84YS5OSkpJrOddxNvkNV0FBQfj888/xww8/YPHixThw4ABUVUWdOnXQs2dPDBkyBEePHjXLV61a1e/6ExERUcnzGW6mTZsGIYRfJ7t06ZLPBe8KEm7q16+PnTt3Ij4+Ptdyxv6qVav6NYBZCIHevXujd+/eXvcfOnTILFevXr18n5eIiIhKT65jbqSURfZVEI0aNQKghZfcxrMcOHAAAMzF/PJDSomEhIRcyxgDim+44QZz+jgRERGVbT5bboxWi9LUqVMnAFoQ2bRpE/r27etRJj4+3lzsr3Pnzvk67/bt2zFixAjY7Xb88MMP5tRwVxcvXsTmzZsBAHfddVdBfwQiIiIqYWX6quC1a9c2r+80depUt0X1DO+//z5UVUXFihW9hh9vbrrpJrPLbe7cuR77VVXFm2++iczMTISEhOChhx4qxE9BREREJalMhxsAGD9+PCwWC2JjYzFo0CBs3boVCQkJOHDgAMaMGWNeLHPkyJEeXUfdu3dH9+7d8cILL7htj4yMNGc4LViwAO+99x5iYmKQkJCA7du34+GHHzavUzVu3Di3KeFERERUtglZgAExaWlp+PXXX9G5c2e3qdezZ8/G7NmzceHCBdSqVQtDhgzBoEGDCl3JFStW4JVXXoHD4fC6f8iQIXj11Vc9thtjdtq0aYM5c+a47cvMzMTjjz/uMQXcoCgKxowZgyeffDLf9YyOjsayZcvyXZ6IiIiKnt/r3GzYsAGvvPIKkpKSsHz5cjRu3BgAMHPmTHz44YcAtDEyJ0+exMSJE3Hs2DFMmDChUJXs06cPmjRpgpkzZ+L333/HpUuXEBISgqZNm+Khhx5Ct27d/D5ncHAwvvnmGyxatAjff/89jhw5ApvNhqpVq6Jt27YYOnSoeUFOIiIiunL41XITGxuLHj16wG63AwA+//xzdO3aFZmZmbj99tuRlpaGChUqoHfv3jh06BD++OMPCCEwe/ZstGnTpth+iLKCLTdERESlz68xN3PmzIHdbkeVKlUwe/ZsdO3aFQCwefNmpKWlQQiBSZMm4ZVXXsGcOXNwzz33QEqJJUuWFEvliYiIiHLyK9z8/vvvEEJg3LhxaNu2rbl906ZNALRF9G6//XZz+yOPPAIA2LVrVxFUlYiIiChvfoUbYyXgnF1M27ZtgxDCLdgAQJ06dQBoKxcTERERlQS/wk1GRgYA7bpMhmPHjuH8+fMAgHbt2rmVT09PBwC/L+NAREREVFB+hZsqVaoAAOLi4sxtW7ZsAaAFmPbt27uV37dvHwBwnRgiIiIqMX6Fm1tvvRUA8O233wLQ1rtZsGABhBBo3ry5GX4AIDExEVOmTIEQwjyOiIiIqLj5tc5Nv379sGrVKvz444/4559/kJ6ejosXL0IIgQcffNAs99FHH+H777/HhQsXoCgKBg4cWOQVJyIiIvLGr5ab9u3bY+TIkZBS4tSpU7h48SIA4O6770afPn3McqtXr8aFCxcAAM888wyaN29edDUmIiIiyoXfKxSPGTMGnTp1wrp162Cz2dC6dWuPFYJvvPFG1KtXD4899hhuu+22IqssERERUV4KdG0p8o4rFBMREZW+Mn9VcCIiIiJ/+N0tZbDZbLh8+TKcTidyNv6oqgq73Y60tDScOnUKa9euxeTJkwtdWSIiIqK8+B1uDh06hPfeew9//PEHVFUtjjoRERERFZhf4eb8+fMYNmwYkpOTPVprcnPttdf6XTEiIiKigvAr3MyZMwdJSUkQQqBjx45o06YNjh8/juXLl6NTp07o3LkzEhMTsX37duzevRtCCPznP//B2LFji6v+RERERG78GlBsXCCzR48emD59OkaMGIHHH38cgLZa8aBBgzBq1CjMnTsXr732GqSUmDVrltvlGoiIiIiKk1/hxggpgwYNMrfVr18fYWFh2Lt3LxwOh7l90KBBuPfee5GRkYG5c+cWUXWJiIiIcudXuElLSwMA1KlTx2379ddfD7vdjpiYGLftAwYMAABs3769MHUkIiIiyje/wk1YWBgAeMySql27NgB4hJvrr78eAHDmzJkCV5CIiIjIH36FG2PW0/Hjx92216lTB1JKHD161G270U2VkZFRmDoSERER5Ztf4aZ169aQUmL69Omw2+3mdqOFZvPmzW7ld+7cCSC7xYeIiIiouPkVbgYMGABFUbBt2zZER0djzZo1AIB27drBarXi4MGDmDhxImJiYrB27Vq8//77EEKgadOmxVJ5IiIiopx8hpuzZ8/i7Nmzbtuuu+46PPXUU5BS4tixY2ZLTaVKlfDAAw9ASom5c+eiV69eePrpp3Hp0iUAwEMPPVSMPwIRERFRNp+L+HXt2hWKomD37t0ICQkxtz/11FNo0KABZs6caQ4kBoCXXnoJ58+fx4YNG8xtQgg88cQTuOuuu4qp+kRERETucl2h2NclFrp3747u3bu77Q8MDMTUqVPx119/4a+//oLFYkGHDh3QoEGDoq0xERERUS4KfFVwQGuZyalFixZo0aJFYU5LREREVGB+DSgmIiIiKusYboiIiKhcYbghIiKiciXPMTdffvklAgICCv1Ao0aNKvQ5iIiIiPKSZ7iZNm1akTwQww0RERGVhDzDja/p4P7wNquKiIiIqDjkGW5++uknBAcHl0RdiIiIiAotz3BTs2ZNtxWKiYiIiMoyzpYiIiKicoXhhoiIiMoVhhsiIiIqVxhuiIiIqFzxOaC4devWAACLxVJilSEiIiIqLJ/hZs6cOSVZDyIiIqIi4bNbau3atcX+4OvXry/2xyAiIqKri89wM3bsWAwZMgT79+8v8gfdt28fHn30UYwZM6bIz01ERERXN5/hZtSoUfjrr7/Qr18/jBkzBrt37y70g23duhUjRoxA//79sXPnTowdO7bQ5yQiIiJyJWQuF4/6+++/8dprr+HIkSMQQqBevXq455570LFjRzRr1gyBgYG5njwrKwu7d+/Gli1bsGbNGpw/fx5SSjRs2BAffPABGjduXOQ/UGmKjo7GsmXLSrsaREREV7Vcww0AOJ1OzJs3D19++SUuXbpkXgTTYrGgbt26uO6661ChQgWEh4dDURRkZGTg/PnziI2NxYkTJ+B0OgFoF+CsXbs2Hn/8cfTt2xdWa55XfrjiMNwQERGVvjzDjSEzMxNLly7FwoULceTIkewT+Ljit+tpmzZtisGDB+P//u//yvXUcoYbIiKi0pfvcOMqJiYGW7Zswd9//42YmBicP38e6enpAICwsDDUqFEDDRo0wK233ooOHTqgbt26RV7xsojhhoiIqPQVqG+oQYMGaNCgQVHXhYiIiKjQePkFIiIiKlcYboiIiKhcYbghIiKicoXhhoiIiMoVhhsiIiIqVxhuiIiIqFxhuCEiIqJyheGGiIiIyhW/ws3UqVOxYMECpKamFld9iIiIiArFrxWKly5divj4eAQGBiI6Orq46kRERERUYH613Pz7778AgI4dOxZLZYiIiIgKy69wU6VKFQDApUuXiqUyRERERIXlV7gZPnw4pJR48803cfny5WKqEhEREVHB+TXmpn379hg4cCDmzZuHLl26oG3btrjxxhtRqVIlBAUF5XrsgAEDClVRIiIiovwQUkqZ38I33nijeVtKCSFE/h5ECBw4cMD/2l1hoqOjsWzZstKuBhER0VXNr5abnDnIj1xEREREVCL8CjcbNmwornoQERERFQm/ws21115bXPUgIiIiKhK8/AIRERGVK3613LiKiYnB/Pnz8ccffyA+Ph7p6ekICQlBzZo10aJFC/Tr1w9NmzYtyroSERER5cmv2VKGTz75BNOmTYOU0uugYiEEhBAYMWIEnn766XzPqrrScbYUERFR6fO75ebDDz/EzJkzIaWE1WpFixYt0KBBA4SEhCAtLQ0xMTHYs2cPnE4npk2bBgB45plnirziRERERN74FW727duHmTNnAgA6dOiAiRMnonr16h7lzp07hzfeeAObNm3C9OnT0b17d7c1coiIiIiKi18DiufOnQspJW655RZ89dVXXoMNAFSvXh1Tp05Fy5YtIaXEokWLiqSyRERERHnxq+Vm586dEEJg9OjRsFgsuZa1WCx46qmn8Oijj2LHjh2FquThw4cxY8YM7NixAwkJCahQoQKaNm2KgQMHonPnzgU+b0xMDL755hts374dFy5cQEBAAOrVq4e7774bQ4YMQXh4eKHqTURERCXPrwHFzZs3h91ux/bt21GxYsU8y1++fBm33XYbQkJC8NdffxWoghs2bMDYsWNht9u97h84cCAmTJjg93l/+OEHjB8/Hjabzev+2rVrY+bMmahbt26+z8kBxURERKXPr26pwMBAAEB6enq+yhvlrNaCzTg/cOAAnn32Wdjtdtx0002YPXs2tm/fjqVLl6Jbt24AgHnz5mH27Nl+nffgwYN46aWXYLPZEBUVhf/973/YvHkzVq1ahZEjRyIgIACxsbH4z3/+4zP8EBERUdnkV7ipV68eAGDTpk35Kv/LL78A0FpBCuLTTz9FZmYmatWqhW+//Ra33XYbKleujKZNm2Ly5Mno3r07AGDKlClITk7O93lnzpwJh8OBkJAQzJo1C71790b16tXRoEEDjB07Fi+99BIA4Pjx41i7dm2B6k5ERESlw69wc8cdd0BKic8++wynT5/OteypU6cwZcoUCCFwxx13+F2xmJgYM0SNGDHCY/yLEAIvvfQSFEVBcnIyVq9ene9z7927FwDQunVrXHfddR77+/fvb7Y2/f33337XnYiIiEqPX+Fm0KBBqFixIi5fvox+/frhm2++QVxcnFuZuLg4fP311+jfvz8SExMRERGBIUOG+F2xrVu3mre7dOnitUyNGjXMKebr16/P97mNRQUdDofP/UaZvAZOExERUdni12CYSpUq4cMPP8SoUaOQnJyMDz74AB988AGCgoIQGhqK9PR0ZGVlAQCklAgICMCkSZNQqVIlvyt28OBBAEDVqlURFRXls1yTJk2wf/9+7N+/P9/nbt68OU6cOIE///wTJ0+eNLvbDD/88IM5gLlVq1Z+152IiIhKj98XzuzQoQO+/fZbNG/e3Lz8QmZmJhISEpCZmWlua9q0KebNm4cOHToUqGJGi1CtWrVyLVezZk0AQEJCQr4HOj/xxBOIjIxEZmYmHn30UaxatQrnzp3DyZMnMW3aNLz11lsAgI4dO+Kuu+4qUP2JiIiodBRoGlPz5s2xaNEiHDp0CDt27MC5c+eQmpqK0NBQXHvttWjVqhWaNGlSqIolJiYCACIjI3MtFxERYd5OTk5GaGhonudu0KABvvvuO0ycOBE7d+70uDxEaGgoRo8ejccff/yquS4WERFReeFXuJk6dSquueYa9OrVC+Hh4WjcuDEaN25cLBUzureCg4NzLee63zgmP5KSkhAWFgYhhMfFPzMyMrBv3z6cOHECjRo1yvU8CxcuxMKFCwFkBzIiIiIqPX6Fm6VLlyI+Ph6BgYGIjo4urjoBKN6BvAsXLsQbb7wBVVVx55134j//+Q8aN26M9PR0bNu2DR9//DF++eUX7Nq1C9OnT0eLFi18nmvAgAEYMGAAABT7c0JERER582vMzb///gtAG4tS3EJCQgDk3RqTmZlp3s6rlQcAYmNj8fbbb0NVVURHR+Pzzz9H8+bNERgYiIoVK6JHjx5YvHgx6tWrh5SUFIwfPx5Op7NwPwwRERGVGL/CTZUqVQAAly5dKpbKuDLG0qSkpORaznXxvvzMylq8eDHsdjsCAgLw4osvei1TsWJFcxzO8ePH8fvvv+e32kRERFTK/Ao3w4cPh5QSb775Ji5fvlxMVdLUr18fABAfH59rOWN/1apVzctD5Ob48ePm+XO7PlabNm08jiEiIqKyz68xN+3bt8fAgQMxb948dOnSBW3btsWNN96ISpUqISgoKNdjjXEp+WUM5I2Pj0diYqLPVpkDBw4AgLmYX16M9Wv8uWaUr4t2EhERUdnjV7jp0aMHAG0F34yMDGzevBmbN2/O8zghhN/hplOnTgC0xQA3bdqEvn37epSJj483F/vr3Llzvs5bv359bNq0CadPn0ZcXByuvfZar+V27dpl3m7QoIFfdSciIqLS41e3lLFAnzF12vV+Xl/+ql27Nlq3bg1Am4KelJTkUeb999+HqqqoWLGi1/DjTc+ePQEAqqpi4sSJXgcLJycnY9KkSQC07q7bbrvN7/oTERFR6fCr5WbDhg3FVQ+vxo8fj379+iE2NhaDBg3Ciy++iJtuugnnzp3Dl19+aV6xe+TIkQgLC3M71rhiePPmzfHBBx+Y25s1a4YBAwZg4cKF2LhxIwYPHozHH38cTZs2hZQSf/zxByZPnoyTJ09CCIFXXnklzy43IiIiKjuE9KNZJTY2FrVq1SrRVXtXrFiBV155xedFLocMGYJXX33VY7sxZqdNmzaYM2eO2z6Hw4HXXnsNy5Yt8/m4AQEBeP311/HAAw/ku67R0dG5npOIiIiKn18tN88//zzOnTuH119/HXfeeWdx1clNnz590KRJE8ycORO///47Ll26hJCQEDRt2hQPPfQQunXr5vc5rVYr3n33XfTt2xcLFy7En3/+iX///RdWqxU1a9ZEu3btMHToUNSpU6cYfiIiIiIqTn613LRu3RqpqalYunRpoa8dVR6x5YaIiKj0+TWg2OgaioqKKpbKEBERERWWX+HGmL20Zs2aYqkMERERUWH5FW7eeust1K5dG++++y4++ugj7N+/n9ddIiIiojLFrzE3zz33HJKTk7F161ZzxpQQAuHh4ble+kAIga1btxa+tmUcx9wQERGVPr9mS/30009mqHFdyM/14pXelOTUcSIiIrq6+RVu+vTpw6BCREREZZpf4ea9994rrnoQERERFQm/BhQTERERlXUMN0RERFSu+Aw3U6ZMwZQpU3xe0yk/MjIy0Lp1a7Rt27bA5yAiIiLyh88xN1OmTIEQAsOHD4fV6lksKysLI0aMgBACs2fP9noOKSVSUlI4CJmIiIhKjF8Dil05nU7s3LmTwYWIiIjKFI65ISIionKF4YaIiIjKFYYbIiIiKlcYboiIiKhcYbghIiKicoXhhoiIiMoVhhsiIiIqVxhuiIiIqFxhuCEiIqJyJc8ViidMmACLxeKx3el0mrdffvllr8e6liEiIiIqCXmGmx9++MHnPuPSCytWrCiyChEREREVRq7hRkpZUvUgIiIiKhI+w82hQ4dKsh5ERERERYIDiomIiKhcYbghIiKicoXhhoiIiMoVhhsiIiIqVxhuiIiIqFxhuCEiIqJyheGGiIiIyhWGGyIiIipXGG6IiIioXGG4ISIionIlzwtn5sXhcEBV1TzLBQYGFvahiIiIiPLkd7hJTU3F9OnTsWbNGsTFxcHpdOZ5jBACBw4cKFAFiYiIiPzhV7jJzMzE4MGDcfjwYQC8ajgRERGVPX6Fmzlz5phXC4+KikL79u1RtWpVdjkRERFRmeFXuFm9ejWEEGjTpg2mTZuGoKCg4qoXERERUYH4NVvqxIkTAIBnnnmGwYaIiIjKJL/CjcViAQDUr1+/WCpDREREVFh+hZt69eoBAM6fP18cdSEiIiIqNL/CTa9evSClxKJFi4qrPkRERESF4le4GTx4MG666SbMmzcPs2bNgt1uL656ERERERWIkH4sVrNw4UKkpKRg6tSpyMzMRHh4OBo3boxKlSohICAg12M/+uijQle2rIuOjsayZctKuxpERERXNb/CTePGjSGEAJC9gJ9x3xcpJYQQOHjwYCGqeWVguCEiIip9fq1zU7NmzeKqBxEREVGR8CvcbNy4sbjqQURERFQk/BpQTERERFTW+X1V8JySkpIQHx+P9PR0hIaGombNmoiMjCyKuhERERH5rUDhRlVVLF68GHPnzsXRo0c99tevXx8PPPAAhg4dCkVh4xARERGVHL9mSwFASkoKnnrqKfzxxx8AsmdNeZxYCLRs2RJTp05FhQoVCl/TKwBnSxEREZU+v1tunn76aezcuRMAcN111+Hee+9FgwYNEBoairS0NBw7dgzr1q1DTEwMdu/ejRdffBFffvllkVeciIiIyBu/ws3atWvx22+/QQiB0aNH48knn/S6zs3YsWMxbdo0TJo0CZs3b8bmzZvRuXPnIqs0ERERkS9+DYhZvnw5hBDo06cPRo4cmesCfo8//jj69esHKSWWLFlS6IoSERER5Ydf4Wbfvn0AtGtM5cfAgQMBAAcOHPCzWkREREQF41e4uXz5MgCgdu3a+Spfq1YtAMDFixf9qxURERFRAfkVbsLDwwEAFy5cyFd5o1xYWJif1SIiIiIqGL/CzY033ggAWLFiRb7KL1++HADQqFEj/2pFREREVEB+hZsePXpASolZs2ZhzZo1uZZdvXo1Zs+eDSEE7r333kJVkoiIiCi//FrEz2634/7778eRI0cghEDnzp1xzz33oEGDBggLC0NaWhpiYmKwdu1abN68GVJK3HDDDVi+fDms1kJf6aHM4yJ+REREpc/vFYpjY2MxfPhwnD59Otep4FJK1KpVC998802+ByBf6RhuiIiISp/fF36qXbs2lixZguHDhyMyMhJSSo+viIgIPProo1i+fPlVE2yIiIiobPC75caVlBKHDx9GfHw8UlNTERoaimuvvRaNGjXKtVWnvGLLDRERUekr1EAYIQQaN26Mxo0bF1V9iIiIiArF724pIiIiorLMZ8tNhw4dAGhjbObPn++2zV9CCGzdurVAxxIRERH5w2e4+ffffwG4ry5sbPPX1Tj+hoiIiEqHz3DTt29fAMA111zjsY2IiIiorCrUbClyx9lSREREpa/Ylw0+f/484uLicOuttxb4HIcPH8aMGTOwY8cOJCQkoEKFCmjatCkGDhyIzp07+3Wuzz77DFOmTPHrmFGjRmH06NF+HUNERESlw69w07hxYyiKgt27dyMkJCTP8gkJCejcuTOioqKwefPmAlVww4YNGDt2LOx2u7nt33//xaZNm7Bp0yYMHDgQEyZMKNC588u4GjoRERGVfX633PjTi2Wz2QBoIacgDhw4gGeffRZ2ux033XQTXnjhBTRs2BBnz57FV199hXXr1mHevHmoV68ehg0blq9zPvHEE3j00UdzLXPmzBkMGjQIKSkpaNu2LQYPHlyg+hMREVHJ8xpuVFXFjBkzzHCS05dffomAgIBcT2y327FlyxYAQIUKFQpUuU8//RSZmZmoVasWvv32W7MFpXLlypg8eTKefvpprFmzBlOmTEHfvn0RGRmZ5zkDAwMRGBjoc7/NZsOLL76IlJQUVKtWDZ988kmePysRERGVHV7DjaIoSElJwYwZMzz2SSkxbdq0fD+AEAJdu3b1u2IxMTHYtGkTAGDEiBEeXUNCCLz00ktYt24dkpOTsXr1agwYMMDvx8lp8uTJOHjwIADgnXfeQeXKlQt9TiIiIio5PlcoHjlyJKpWrep2QUwhBIQQXi+WmfPLYrHgmmuuQe/evfHiiy/6XTHXRf+6dOnitUyNGjVw4403AgDWr1/v92PkdOjQIXzzzTcAtJlPHTt2LPQ5iYiIqGT5HHMTEhJidisZGjduDCEE/vrrr3wNKC4Mo/WkatWqiIqK8lmuSZMm2L9/P/bv31/ox/zvf/8Lh8OBiIgIPP/884U+HxEREZU8vwYUt27dGgBgsViKpTKu4uLiAAC1atXKtVzNmjUBaIOW09PTERoaWqDH27RpE3bu3AlA6wZzXbyQiIiIrhx+hZs5c+YUVz08JCYmAkCeg4QjIiLM28nJyQUON9OnTwegDX4eNGhQgc5BREREpa/YF/FzOp3YsmWLz3EzvmRlZQEAgoODcy3nut84xl///PMPdu3aBQAYPHiwX+vaLFy4EAsXLgSQHciIiIio9BRonZuVK1di69atSExMhMPh8Fj7RkoJu92OtLQ0nDlzBllZWThw4IBfj1MSXV8GYxBxaGgohg4d6texAwYMMGdpRUdHF3ndiIiIyD9+hRun04kRI0Zg+/btHvuM2VQ5twEFuyq4MWA5r9aYzMxM83ZerTzepKWlYcOGDQCAu+66CxUrVvT7HERERFR2+BVuVqxYgW3btgEAAgICULt2bWRlZSEuLg41a9ZEpUqVkJiYiLNnzwLQQk2PHj0KtP6MMZYmJSUl13LJycnm7UqVKvn9OJs3bzYDVK9evfw+noiIiMoWn+vceLNmzRoAwHXXXYf169dj1apVePfddwEAt9xyC5YuXYqNGzdi3bp1aN26NaSUOHr0KG655Ra/K1a/fn0AQHx8fK7ljP1Vq1bNdeVhX9auXQtAW/X49ttv9/t4IiIiKlv8CjcHDx6EEAKjRo1C9erVAQA333wzrFYrduzYYZarU6cOpk+fjvr16+Po0aP4/vvv/a5Yo0aNAGjhJbeBusZYHmMxP3+oqorffvsNgLZQoNVa7OOriYiIqJj5FW6SkpIAAE2bNjW3BQUFoU6dOkhISHBrZQkODsbw4cMhpcSqVav8rlinTp0AaON2jMsw5BQfH28u9te5c2e/H+PIkSNmt1eLFi38Pp6IiIjKHr/CjdGykXPtmbp16wLQrgflqm3btgCAo0eP+l2x2rVrm4sGTp061QxWrt5//32oqoqKFSuib9++fj/Gvn37zNvNmjXz+3giIiIqe/wKN8aqvRcvXnTbXqdOHQDAsWPH3LYb68V4Cyb5MX78eFgsFsTGxmLQoEHYunUrEhIScODAAYwZMwarV68GoF0HKywszO3Y7t27o3v37njhhRd8nt81jNWrV69AdSQiIqKyxa9BJs2bN0dcXBzWrFmDG264wdxer149SCnx999/u5U/efIkgIKvWdOkSRO88847eOWVV3D06FE89thjHmWGDBmCYcOGeWw/ceIEAG2gsS/GJR4CAwMLNI2ciIiIyh6/Wm7uueceSCnx1Vdf4auvvjKnYRvjVX7++Wf8888/AACbzYbPPvsMQHbLTkH06dMHy5cvR58+fVC9enUEBAQgMjIS7du3x2effYZXX321wOc2xtvkdYkHIiIiunIImXN54VxIKfHQQw9hz549EEKgW7du+PTTTwEA/fv3x969e2G1WnHjjTciLi7OnOU0cuRIjB49unh+gjIkOjoay5YtK+1qEBERXdX8arkRQuCLL75A586dIaXEtddea+6bOHEiIiMj4XA4sG/fPiQkJEBKieuvv95rdxIRERFRcfCr5cZVTEwMnE4nGjZsaG6Li4vDl19+iT179sBisaBjx454/PHH3a7cXZ6x5YaIiKj0FTjckCeGGyIiotJXrEvy2u12fPXVVxBC4KmnnirOhyIiIiIC4OeYm8aNG6NFixb5XnHYbrdjypQpmDJlSoEqR0REROQvv8INAGRkZOC5557Dxx9/XBz1ISIiIioUv8ONEAJSSkybNg0jR45EWlpacdSLiIiIqED8DjcA8OCDD0JKiV9++QUPPvggYmNji7peRERERAVSoHDz4osvYuLEibBYLDh27Bj69euH7du3F3XdiIiIiPxWoHADAP369cM333yDihUrIikpCSNGjMCcOXOKsm5EREREfitwuAGA1q1bY9GiRWjQoAEcDgfeeecdvPrqq7Db7QAKfsFMIiIiooIqVLgBgNq1a2PhwoXo1KkTpJRYunQphg0bhoSEBAQFBUEIURT1JCIiIsqXQocbAAgPD8eXX36JoUOHQkqJv/76C/3790dMTAyCg4OL4iGIiIiI8qVIwg0AKIqC8ePH4+2334bFYsHZs2fx0EMPweFwFNVDEBEREeWpyMKNoX///vj6669RoUIFJCcnm+NviIiIiEqCX+GmZs2aqFmzJhQl98PatGmDxYsXo0GDBoWqHBEREZG//Lpw5saNG/Nd1hho/PPPP4MXHiciIqKSUqxXBQ8PD0efPn2K8yGIiIiI3PgMN7/++isAICQkBC1btnTbVhAdOnQo8LFERERE+eUz3Dz22GMQQqBOnTpYu3at2zZ/CSFw4MCBgteSiIiIKJ9y7ZbyNlaG42eIiIioLPMZbr799lsAcFuEz9hGREREVFb5DDdt2rTJ1zYiIiKisqTIF/EjIiIiKk0MN0RERFSu+OyWKsqp20IIbN26tcjOR0REROSLz3Dz77//FtmDFGT6OBEREVFB+Aw3ffv2Lcl6EBERERUJn+Hm3XffLcl6EBERERUJDigmIiKicqVEws2RI0dK4mGIiIiICnZV8F27dmHr1q1ITEyEw+HwuCSDlBJ2ux1paWk4efIkTp8+zWtLERERUYnwO9yMHz8ey5cvz3d5KSVnSxEREVGJ8SvcrF+/HsuWLTPvBwcHw2KxIC0tDWFhYQgICEBKSgqcTicAbQp4x44d0aNHj6KtNREREZEPfo25+f777wEAUVFRWLRoEfbs2YNPPvkEAHDPPffg999/xz///INvvvkGDRo0AABkZmaiT58+RVppIiIiIl/8Cjd79+6FEAKjRo1C8+bNAQC33norhBDYvn07AMBisaBdu3aYM2cOqlWrhl27dmH16tVFX3MiIiIiL/wKN5cvXwYAtGzZ0twWFhaGWrVq4dy5c7h06ZK5vXLlyhg+fDiklFi5cmXR1JaIiIgoD36FG2Ng8DXXXOO2vX79+gCAo0ePum3v2LEjAODQoUMFriARERGRP/wKN5UqVQIAJCQkuG2vU6cOACAmJiZf5YmIiIiKi1/hpkmTJgCAzZs3u22vU6cOpJTYu3ev2/b4+HgAvHAmERERlRy/ws2dd94JKSU+/fRT/Pjjj1BVFQBw8803A9CmisfGxprlZ8yYAQCoUaNGUdWXiIiIKFd+hZvevXujbt26yMjIwLhx4zBu3DgAWripV68e0tPTER0djaeffhq9e/fGqlWrIITAHXfcURx1JyIiIvLgV7ixWq2YMWMGGjVqBCklqlSpYu576623YLVakZKSgrVr1+Lo0aOQUqJatWp4/PHHi7ziRERERN74feHM2rVrY/ny5fjqq69w9913m9vbtGmDuXPnon379ggODkZ4eDh69OiB+fPno3LlykVaaSIiIiJfhMx51ctcxMbGolatWhwg7EN0dLTb5SmIiIio5PnVcvP888/jjjvuwIYNG4qrPkRERESF4teFM48fP47U1FTOfiIiIqIyy6+WG4fDAUC7cCYRERFRWeRXuGndujUAYM2aNcVSGSIiIqLC8ivcvPXWW6hduzbeffddfPTRR9i/fz+cTmdx1Y2IiIjIb37NlnruueeQnJyMrVu3mjOmhBAIDw9HYGCg7wcRAlu3bi18bcs4zpYiIiIqfX4NKP7pp5/MUGNkIiklkpOTcz2OU8eJiIiopPgVbvr06cOgQkRERGWaX+HmvffeK656EBERERUJvy+/QERERFSW+dVyk5Oqqjh8+DDOnj2L1NRU3HfffQC0yzTUrl27SCpIRERE5I8ChZvk5GRMnToVS5cuRVpamrndCDejR4+Gw+HAK6+8gnbt2hVNTYmIiIjywe9uqRMnTqBPnz749ttvkZqaCiklcs4mj4uLQ0xMDIYPH44VK1YUVV2JiIiI8uRXuMnKysITTzyBs2fPIigoCI888gg+/vhjj3KDBg1CWFgYVFXFhAkTcPr06SKrMBEREVFu/Ao38+bNw+nTp1GpUiUsX74cL774Ijp37uxR7umnn8bChQtRpUoV2Gw2fPvtt0VWYSIiIqLc+BVu1q5dCyEERo8ejfr16+datkGDBhgzZgyklNi2bVuhKklERESUX36Fm+PHjwMA7rjjjnyVb9++PQDg7Nmz/tWKiIiIqID8CjeZmZkAgLCwsHyVDw0N9b9GRERERIXgV7ipUqUKAODYsWP5Kr9v3z6344iIiIiKm1/hpnXr1pBS4ptvvsmzrNPpxOeffw4hBFq1alXgChIRERH5w69wM3jwYAghsGHDBkycONHspsrp/PnzeOqpp7Bnzx4AwIMPPljoihIRERHlh18rFDdr1gyPPvooZs6ciblz52Lp0qW47rrrzP3PPfcc4uLisG/fPjidTgBasLnllluKtNJEREREvvh9+YVx48YhODgYX375JTIyMrB//34IIQAAq1atAgBzxeLBgwfj5ZdfLsLqEhEREeWuQNeWGj16NPr06YMFCxZg586dOH36NNLS0hAcHIwaNWqgTZs26N+/Pxo3blzU9SUiIiLKVYGvCl67dm2MGzeuKOtCREREVGh+XziTiIiIqCwrcMuNweFwQFXVPMsFBgYW6nEOHz6MGTNmYMeOHUhISECFChXQtGlTDBw40Ov1rfLLbrdj0aJFWLVqFY4dO4a0tDRcc801aNOmDYYPH86uNSIioiuMkMbo33xKTU3F9OnTsWbNGsTFxZmzonJ9ECFw4MCBAldyw4YNGDt2LOx2u9f9AwcOxIQJE/w+77lz5zBixAgcOXLE6/6AgAC8+eabuP/++/N1vujoaCxbtszvehAREVHR8fvyC4MHD8a0adNw+vRpOBwOSCnz9VVQBw4cwLPPPgu73Y6bbroJs2fPxvbt27F06VJ069YNgHa18tmzZ/t13qysLDz88MM4cuQIrFYrnnzySaxZswabN2/GpEmTEBUVBbvdjtdee61QwYyIiIhKll/dUnPmzMGhQ4cAAFFRUWjfvj2qVq1a6C6n3Hz66afIzMxErVq18O233yI8PBwAULlyZUyePBlPP/001qxZgylTpqBv376IjIzM13m/+OILnDhxAkIIfPzxx2ZQAoCePXuiRYsW6NmzJ9LT0zF9+nR8/PHHxfLzERERUdHyK9ysXr0aQgi0adMG06ZNQ1BQUHHVCwAQExODTZs2AQBGjBhhBhuDEAIvvfQS1q1bh+TkZKxevRoDBgzI87x2ux3z588HAPTp08ct2Bhq1qyJbt26YeXKlWy5ISIiuoL41S114sQJAMAzzzxT7MEGALZu3Wre7tKli9cyNWrUwI033ggAWL9+fb7Ou23bNly+fBmAFpp8efvtt7F//36sXbs2nzUmIiKi0uZXuLFYLACA+vXrF0tlcjp48CAAoGrVqoiKivJZrkmTJgCA/fv35+u8//zzj3neBg0auO1zHbQcGBgIReFseSIioiuJX+/c9erVA6BdGLMkxMXFAQBq1aqVa7maNWsCABISEpCenp7neY3ZUXXr1gUA7NmzB2PHjkWbNm3QtGlTtGrVCmPGjMl3WCIiIqKyw69w06tXL0gpsWjRouKqj5vExEQAyHOQcEREhHk7OTk5z/NevHgRAFCxYkV8/fXXeOihh7BmzRokJSUBAFJSUrB27Vo88MADJfazEhERUdHwK9wMHjwYN910E+bNm4dZs2b5XHemqGRlZQEAgoODcy3nut84JjdpaWkAgL///hvvv/8+6tati88//xx//vkndu/ejc8++wzXXnstHA4HJkyYgO3btxfipyAiIqKS5NdsqaVLl+Lee+/F8ePH8f7772Pq1Klo3LgxKlWqhICAgFyP/eijj/yunDHGp6hlZGQA0Fpw6tWrh0WLFrm1DnXr1g0333wz+vTpg4SEBLz33nv4/vvvvZ5r4cKFWLhwIYDsliYiIiIqPX6FmwkTJkAIAQCQUiIlJQW7du3K9RgpJYQQBQo3ISEhAPJujcnMzDRv59XK43peABg7dqzXbq+oqCgMGzYMH3/8MQ4dOoRTp06ZY3RcDRgwwJx+Hh0dnedjExERUfHyK9wYA3dLijGWJiUlJddyruNsKlWqlOd5w8LCzNu33Xabz3KtW7c2bx87dsxruCEiIqKyxa9ws3HjxuKqh1f169fHzp07ER8fn2s5Y39+V0uuVasW/vrrLwDIdb0e10UD8zOWh4iIiEpfmV7EpVGjRgC08JLbeBZjBWFjMb+8uJaLjY31We7SpUvm7WrVquXr3ERERFS6iiTcpKam4ty5c0VxKjedOnUCoI3bMS7DkFN8fLy52F/nzp3zdd477rjDvL1q1Sqf5X799VcA2jiexo0b5+vcREREVLoKHG42bNiAJ554Aq1bt0br1q3RtWtXc9/w4cPx5ptv4t9//y1U5WrXrm2Oe5k6daq5Do2r999/H6qqomLFiujbt2++ztugQQPzvLNmzTIvBuoqJibGvP5Ut27dPK5rRURERGWT3+EmPT0dTz75JEaNGoUtW7YgJSUFUkpIKc0yhw8fxoIFC9CnTx+zVaWgxo8fD4vFgtjYWAwaNAhbt25FQkICDhw4gDFjxmD16tUAgJEjR7oNFAaA7t27o3v37njhhRc8zvvmm28iODgYWVlZGDx4MGbPno0zZ87g33//xbJlyzBkyBCkp6ejQoUKeP755wv1MxAREVHJEdI1leTD448/jq1bt0JKiSZNmuDWW2/Fd999ByGEGWQGDx5sThGPiorCTz/9VKiWjxUrVuCVV16Bw+Hwun/IkCF49dVXPbYbY3batGmDOXPmeOzftWsXRo0a5XM8T+XKlfHZZ5+hVatW+apndHQ0li1blq+yREREVDz8arlZs2YNtmzZAovFgvfeew/Lli3Ds88+61Huu+++w//+9z9YrVZcuHABc+fOLVQl+/Tpg+XLl6NPnz6oXr06AgICEBkZifbt2+Ozzz7zGmzyo1WrVli7di1GjRqFG2+8EWFhYQgNDUXDhg3x5JNPYuXKlfkONkRERFQ2+NVy88QTT2DLli0YPny42VWTnp6OW2+91a3lxvDxxx/jq6++QrNmzbB48eKirXkZxJYbIiKi0udXy82+ffsAaC0p+dG7d28AwIkTJ/yrFREREVEB+RVujNlK+V3zpUqVKgC4AB4RERGVHL/CTcWKFQEA58+fz1f5U6dOuR1HREREVNz8CjdNmzYFAJ9XyM5p3rx5bscRERERFTe/ws19990HKSVmzZqFdevW5Vp2+vTpWLFiBYQQ6NWrV6EqSURERJRffl04895778XixYuxbds2jB07Fq1atUKTJk3M/QsXLkRcXBw2bNiA48ePAwBatGiBnj17Fm2tiYiIiHzwexG/1NRUPPXUU9ixYweEEF7LGKds2rQppk2bhsqVKxe+plcAX1PB7XY7zpw5g8zMzFKoFRU1i8WCihUrokqVKlCUMn3tWSKiq5JfLTcAEB4ejlmzZmH58uWYP38+Dhw4AKfT6VbmhhtuwAMPPIABAwYgMDCwyCp7pTpz5gwiIiJQr149n4GQrgxSStjtdpw/fx5nzpxBnTp1SrtKRESUg9/hBgCEEIiOjkZ0dDTS0tIQFxeH1NRUhISEoHr16qhUqVJR1/OKlpmZyWBTTgghEBgYiGuvvRaHDx8u7eoQEZEXBQo3rsLCwtCwYcOiqEu5xmBTvrA7ioio7OJfaCIiIipX8t1y8/vvv+Pvv//GE088YW5LT09Hy5YtfR7z1FNPYdSoUYWrIREREZEf8my5OXHiBAYOHIhHHnkEkydPNi/BYJBS+vyaPn26uUoxlV3z589H79690aNHD/Ts2RPjxo3D2bNnfZZv0aIFzpw5g71792LMmDEAgPj4ePTq1Qu9e/fGX3/95XHMwYMH8fLLLwMAunbtir179/pdx2nTpuV6/Jo1azBkyBAAwKeffooVK1b49RiuZs+eXajjiYio9OTacnPq1CkMHjwYCQkJkFIiPDwcp06dQvPmzd3KCSHw2GOPmfcdDgfmzJkDm82Gzz//HO+//37x1J4K7f3338ehQ4fw1VdfoUaNGlBVFStXrsSAAQOwePFiVK9e3eexzZo1w+TJkwEAO3bsQJUqVTBr1iyPcqqq4pVXXsEXX3xR4Ho+9NBDfpUfO3ZsgR8LAAYPHox+/frh9ttvR9WqVQt1LiIiKlm5hpuXX34Zly5dQlBQEJ555hkMHDjQ59Tu5557zu1+WFgYpkyZgtWrV+OFF17ANddcU3S1vsKlL16CtIULi/UxwgYMQGj/frmWOXfuHBYsWIBNmzahQoUKALSBsn369MG+ffvw1VdfYcKECdi1axfefvttCCHQrFkzqKoKQAs0b7/9Nl599VV88sknSElJwZAhQzBnzhy3x1m9ejVq1aqFqKgoc9u8efNw6NAh2Gw2PPLII+jXr595vh9//NHt/D/++CM+++wzJCYm4vXXX3c796effooffvgBFStWRN26dc3tL730Em644QYMHz4czZo1w+OPP47ffvsNFy5cwNChQ/Hwww/D6XTigw8+wMaNGxEREYHmzZsjJiYGc+bMgcViwb333ovp06dj/PjxBf+HICKiEuezW2rHjh34888/IYTA5MmT8fDDD/u1Zs3w4cNRsWJF2O32PC/VQKXj77//xnXXXWcGG1ft27fH7t27YbPZMHbsWLz00ktYsWIF2rZt67EY4W233YYxY8agVatWHsEGANauXYs77rjDbVtQUBCWL1+Or7/+Gh999BGOHj3qd/1//vlnrFu3DitWrMCCBQuQmprqtZzNZkOlSpWwYMECTJ48GR999BGysrKwePFi7N+/Hz/++CMWLFiA2NhYt+O6dOmC9evX+10vIiIqXT5bbow/6nfeeSc6d+7s94lDQkLQq1cvfPfdd9ixY4ff3QrlWWj/fnm2qpQUh8PhdbvNZoMQAkeOHIHVakW7du0AAL169fJoPcnL8ePHMXToULdtDz74IAAgKioKHTp0wPbt29GoUSO/zrt9+3bcfffdCA8PBwDcf//9XsMVoL2OAeCmm26CzWZDeno6Nm/ejPvuuw9BQUEAgAEDBrgdX6dOHZw9exZZWVlmGSIiKvt8ttz88ccfEELgvvvuK/DJjU/rhw4dKvA5qPjccsstOHXqFC5evOixb8eOHWjRogWEEMh5hQ6r1b/lkYQQZleWwXWdGCklrFarx2PZ7fY8z+ta3mKx+CxrhBNjvSHjMX3VCQCcTieEEFyjiIjoCuMz3BhveDfeeGOBT16vXj0AQEJCQoHPQcUnKioKQ4YMwbPPPovz58+b25cuXYp169ZhxIgRaNiwIaSU2Lx5MwBgw4YNHjPm8lK/fn2PLp/ly5cDAM6ePYtt27ahXbt2qFy5Ms6ePYtLly5BSomff/451/N27NgRa9asQXJyMlRVxffff+9XvTp37oyVK1fCZrPB4XCYdTLExsaiVq1avIQIEdEVxudH8OTkZADwOh7DEBgYiNdee83n/oiICADaejhUNj333HNYvHgxnnzySdhsNthsNjRr1gwLFizAtddeCwCYOnUq3njjDUyaNAk33nij34PD77nnHqxfvx7333+/uS0rKwt9+/aF3W7Hq6++ivr16wPQuqvuv/9+VK1a1WOcTk6dO3fG4cOHcf/99yMyMhKNGzdGYmJivusVHR2NEydOoE+fPggNDUWtWrUQEhJi7t+6dSu6d+/u189KRESlz+dVwVu2bIn09HSsW7cOtWvXLtDJjx07hl69eqFChQrYsWNHoSp6JfB1VfCDBw8WqgXsSud0OhEdHY1p06a5zZgqbb/++isuXbpkdr1OnDgRQUFBGDduHJxOJ/r27Yuvv/4aVapU8Xr81f7vSkRUVvnslqpRowYAbTBoQRkzYAoajqh8sFgsePvttzFp0qTSroqbG264AStWrEDv3r3Rs2dPJCYm4j//+Q8AYM6cORg2bJjPYENERGWXz26pJk2aICYmBhs2bCjQbClAW99ECIFbbrmloPWjcqJ58+Yeiz+WtqioKHzzzTde9z388MMlWxkiIioyPltuunTpAiklVqxYketS/L4cOnQIGzduBJA9DZeIiIiouPkMN3fddReqVasGu92OUaNG+VwgzZvU1FQ8//zzcDgcuP766801UoiIiIiKm89wExAQgBdeeAFSShw8eBDR0dH49ddf8zzhH3/8gfvuuw/Hjh2DEIJL1xMREVGJynU1tl69emHv3r2YPXs2YmNjMWLECNSqVQtdunRBo0aNzMGWFy9eRGxsLNavX48TJ06YC6uNHj2arTZERERUovJcavbll19GjRo18MknnyAzMxNnzpzxucQ9oK38GhgYiOeeew7Dhg0r0soSERER5cVnt5Srhx9+GKtWrcLgwYMRGRkJKaXXr+DgYET/f3t3HldT+scB/NMqJUpCtrLdRrI0dkUTskdihoQy9mGM8FMMYxmZLDOMZoQpW2hCki2hspfwo0YSE0qb9vVW91bn90eve373dpdum7bv+/Xq9bqd8zznOfece+79nuc8i40Nrly5QoFNI2FoaCg2gvSNGzcwf/58AOXTMPTv3x/Tp08X+fP29pa4vejoaGzcuLFO99nV1bVZjJtECCGkeuSeJKhTp07YvHkzNm3ahJcvX+Lt27fsMPlt2rRBz549MWDAABqqvgnq1q2bXFMblJWV4ccff4S7u3ud7s/KlSsxd+5cnD9/HmpqanVaFiGEkManajMgonxywYY4Zkljcv1FIq48T6zTMqxMOmPywM51WkZFAQEB6NKlCzsK8ZgxYzBjxgyEhoYiOTkZkyZNwoYNGwAAwcHBcHd3B5/Ph5qaGpycnGBgYAALCws8evQI6urq+OmnnxAbG4szZ84AAMaPH49Dhw6hV69eMDExgY+PD9UQEkIIEVPl4IY0P/Hx8SKzw+vp6eHw4cNi6QIDA8Xmg+JyuTh79iw+ffoES0tL2NraorS0FPv378epU6egra2Nt2/fYuHChbh58yb69++Px48fw8LCAo8fP0Z+fj4KCgqQnJwMZWVl9OrVC0B54OTh4UHBDSGEEDEU3NSDyQM/f62KNAoKCmLLysrKoKj4/+ZY8j6WevfuHRYsWCCyTDCAY4cOHaCjo4OcnBxEREQgNTVVZBRgBQUFxMfHw9LSEvfu3UO3bt3QoUMHcDgcPHnyBDExMRg/fjybvmvXrnj//n1V3y4hhJBmgIKbZk5bWxvZ2dlo27YtuywjIwNaWlpV3paCggLKyspElrVo0UJkPcMwKCsrw4gRI3DgwAF2XXJyMtq3bw8tLS3Y2dnBwMAApqamaN26NR48eIB//vkH27ZtY9NXDMAIIYQQAfp1aOZGjx4NLy8vNijJycmBn59fteYT6969Oz5+/FhpuuHDh+Phw4eIjY0FANy9exfTpk1DcXExOnbsCG1tbfz9998wNTWFmZkZbt68iezsbJEZuD9+/IgePXpUeR8JIYQ0fVRz08z9+OOPcHV1xdSpU6GkpAQAmD59OmbMmFHlbU2YMAG3bt3CzJkzZabr3bs3duzYgbVr14JhGCgrK8Pd3R3q6uoAAEtLSxw7dgxGRkZQVFSEmpoaxo0bJ7KN+/fvY+LEiVXeR0IIIU2fAiMYTpjUmI2NDS5evCi2PDo6WqTWoakqLS2FjY0Njh49yvaYqgt5eXmwtbWFr6+vyGOvz625nFdCCGls6LEUqTVKSkr4+eef8dtvv9VpOX/88Qc2bdpUr4ENIYSQhoseS5Fa9TnGQKrrEZAJIYQ0blRzQwghhJAmhYIbQgghhDQpFNwQQgghpEmh4IYQQgghTQoFN4QQQghpUii4IZ/Njz/+iEePHgEANm/ejJcvX4otJ4QQQmqKuoKTz8bFxYV9/ejRI8yePVtsOSGEEFJTFNzUg+D4INyOu1WnZYzTt8SYbmMrTff48WO4uLhAXV0dXC4Xq1evxpEjR8Dn86GmpgYnJyeYmJigpKQEe/fuxZ07d6CkpAQTExNs3boVR44cwYsXL5CamgpDQ0Po6+sjKysLP/30EwDAzc2N/X/+/Pmws7NDdHQ0UlNTsX79euzZswf79u2DnZ0djI2N4eDgAHNzc0RERCAnJweOjo6YPHkyCgsLsXXrVkREREBTUxO9evUCALi6utbpcSSEENL4UHBD8PbtW9y+fRt8Ph/ff/89Tp06BW1tbbx9+xYLFy7EzZs3ceHCBURFRcHf3x+qqqpYu3Ytrl+/DgBITEzE1atXoaysDDc3t0rLc3R0xJUrV7Bv3z7069dPZN3Hjx9hZmaGLVu2IDAwEK6urpg8eTIOHTqE0tJSBAQEgMvlYu7cuTAyMqqT40EIIaRxo+CmHozpNlauWpXPRU9PD507d8aZM2eQmpoKBwcHdp2CggLi4+Px6NEjTJ8+HWpqagCAAwcOACivmRk4cCCUlWvno6SiosLOSG5kZITs7GwA5TOHb9y4EYqKimjVqhVmzJiBmJiYWimTEEJI00LBDWFn4y4rK8OIESPYwAUAkpOT0b59e7HgJT09HWVlZSL5gfJgSHguVj6fX6V9UVFRgaKiIrstAWVlZZHtCtIQQgghFdEvBGENHz4cDx8+RGxsLIDy2pJp06ahuLgYI0aMwNWrV8Hj8VBWVoZt27bh2rVrYtvQ1tZGVFQUGIYBl8vFgwcPJJalpKSEkpISuffN3Nwcvr6+KCsrQ2FhIa5evSoS/BBCCCECVHNDWL1798aOHTuwdu1aMAwDZWVluLu7Q11dHXPmzEFiYiJsbGzAMAyGDh2K+fPnw93dXWQb06ZNw/379zF+/Hh06NABJiYmIjUuAuPGjYOjoyN27twp174tW7YMO3bsgJWVFTQ1NaGjo8M+IiOEEEKEKTCSfnlItdjY2ODixYtiy6Ojo9GnT5962KOm49q1a2jVqhXMzc1RVlaG77//Hqamppg7d2697ROdV0IIaZjosRRpFHr37g13d3dMnz4dU6dORfv27fH111/X924RQghpgOixFGkUOBwO/v777/reDUIIIY0A1dwQQgghpEmh4IYQQgghTQoFN4QQQghpUii4IYQQQkiTQsENIYQQQpoUCm4IIYQQ0qRQcNPMPX78GFOnTpU7vbOzMzw9PeVKO336dOTm5oot9/T0hLOzs9xlEkIIIVVB49yQOuPv71/fu0AIIaQZouCmHrwJfofXQf/WaRlfjO0FzpgecqXlcrlwdHTEu3fvUFxcjB07dmDlypU4d+4cunfvDgBYuHAh7OzsAADPnj1DYGAg8vPzYWpqCicnJygrK8PY2Bhjx47F69evsW/fPsyaNQuhoaHQ1NTEzp078ejRI+jo6EBHRweampp19t4JIYQ0b/RYiiAlJQUODg7w9/fHnDlz8Oeff8La2hrnz58HAMTHx+P9+/ewsLBg0584cQKXLl3C69evce7cOQAAn8+HhYUFAgMD0a9fP3b7Z8+exYcPH3Dt2jUcO3YMycnJn/9NEkIIaTao5qYecMb0kLtW5XPo2rUrBgwYAAD44osv4Ovri7lz52LevHlwdHSEj48PZs2aBSUlJQDlbWnU1dUBlM8CfvfuXXYCy8GDB4ttPzQ0FFOnToWqqipUVVVhZWWFmJiYz/TuCCGENDdUc0OgoqLCvlZQUADDMOjevTsMDQ0RFBSEK1euiExSKQhyBJSV/x8jC4IeWSrmJ4QQQmoTBTdEqrlz52LPnj0YMGAAOnTowC6/du0aeDweiouLcfHiRYwePVrmdkaNGoVLly6huLgYxcXFuH79el3vOiGEkGaMHksRqSwsLLB582bMmTNHZHmXLl1ga2sLLpcLS0tLzJgxQ+Z25syZg/j4eEydOhVaWlrQ19evy90mhBDSzCkwDMPU9040FTY2Nrh48aLY8ujoaPTp06ce9qhm/vvf/2LLli24evUqFBQU6nt3GpzGel4JIaSpo5obIpGTkxPCw8Oxe/duCmwIIYQ0KhTcEIl2795d37tACCGEVEujCG5iYmLg4eGBx48fIzMzE23atIGxsTHmzp0Lc3Pzam3z3Llz2LJlS6XpJkyYgIMHD1arDGEMw1ANSBNCT3MJIaThavDBTVBQEH744Qfw+Xx2WXp6Ou7cuYM7d+5g7ty52Lp1a5W3+/Lly9rcTZmUlJTA5/Ohqqr62cokdauwsFCkCz0hhJCGo0EHN69evcLatWvB5/PRt29fbNiwARwOB0lJSThy5Ahu3ryJs2fPwsDAAPb29lXadlRUFIDynjwbNmyQmk54DJfq0tLSwqdPn9C5c2coKlLv+8aMYRgUFhYiMTFRpHs8IYSQhqNBBze///47ioqK0KVLF5w6dQqtWrUCALRt2xYHDx7EmjVrcOPGDfzxxx+YMWMGWrduLdd2+Xw+3rx5AwAwMTGBhoZGnb0HAGjXrh0SEhJoVN4mQkVFBR06dJD780YIIeTzarDBTWxsLO7cuQMAWLJkCRvYCCgoKMDZ2Rk3b95Ebm4uAgICMHv2bLm2/fbtW/B4PAAQmQOprigqKqJbt251Xg4hhBBCGvAIxffv32dfCyZsrEhPT48dZ+TWrVtyb1vwSEpTUxM9ejScOZ4IIYQQUnMNtuYmOjoaAKCrqyuzbYORkRGioqLYgEUegrTGxsYIDg7G+fPn8eLFC+Tn50NXVxfDhw/H4sWL0bNnz5q9CUIIIYR8dg225iYxMRFA+VD/snTq1AkAkJmZCS6XK9e2BcHN06dP8d133yEkJARZWVng8/lISkrCxYsXMW3aNJw/f74G74AQQggh9aHB1txkZWUBQKWNNjU1NdnXubm5lc5KXVJSwjbs5fP5MDc3x7fffgsOh4OCggLcu3cPbm5uyMrKwpYtW6CtrY1x48bV8N0QQggh5HNpsMFNcXExAEBNTU1mOuH1gjyypKSkQFdXFykpKZg3bx42btzIrmvbti3s7OxgamqKr7/+Grm5ufj5558xevRoqWPU+Pj4wMfHBwDw/v172NjYVLoPVZGVlQVtbe1a3SYhzRldU58PHevmoS7Os7a2Njw9Paudv8EGN0pKSnWy3S5duiAoKAglJSVSx5wxMDDA8uXLsWfPHqSkpODBgwcYM2aMxLSzZ8+Wu5dWdUibjJMQUj10TX0+dKybh4Z4nhtsm5uWLVsCqLw2pqioiH1dWS2PMGVlZZkD6o0dO5Z9HRERIfd2CSGEEFK/GmxwI2hLk5eXJzNdbm4u+7o2q8UEDZWB8sbKhBBCCGkcGmxw0717dwBAcnKyzHSC9bq6ulWau6myiQ+F57IS1CLVh7p85EVIc0TX1OdDx7p5aIjnucEGN4aGhgDKgxdBzylJXr16BQDsYH6V+f333zFy5Ej069dPZq1QbGws+1oQaNWHhvihIaQxo2vq86Fj3Tw0xPPcYIOb0aNHAyivYRFMw1BRcnIyO9ifubm5XNvV0dFBRkYG+Hy+yCjIFfn7+wMonzrBzMysCntOCCGEkPrUYIObrl27YsiQIQCAP//8Ezk5OWJpdu/ejbKyMmhpaWHGjBlybXfChAns46tff/0V+fn5YmkeP36Mv//+m03ftWvX6r4NQgghhHxmCkxljU/q0atXrzBr1iyUlpaid+/ecHJyQt++fZGSkoLDhw8jMDAQALBp0ybY29uL5J04cSIAoH///tizZ4/IukOHDuH3338HAPTo0QPr1q1Dv379UFxcjOvXr8Pd3R1FRUVo3749Ll68CF1d3Rq9j5MnT2LXrl1YsmQJ1q9fLzUdwzDw9/fHhQsXEB0dDT6fjw4dOsDc3BwLFy5E586dZZaTkJCAv/76Cw8ePMCnT5/QqlUrcDgczJo1C9OmTavReyCkvuzfvx+HDx+uNN23334LJycnkWV0TVWuMXw/1bTs5ig0NBTnzp3DixcvkJ6eDmVlZXTp0gVmZmZYsGAB9PT0JOYbNWoUUlNTK93+lStXwOFwxJZnZmbir7/+QkhICBITE6GmpoYePXpg2rRpmD17NpSVZY9AExwcjDNnzuDly5coKChgp0RauHChxPKkadDBDQBcunQJP/74I0pKSiSunz9/PjZv3iy2XNBmZ+jQofDy8hJZxzAMXF1dceLECanlduvWDYcPH67x/FIvXryAvb09ioqKZH55lJWVYf369bh27ZrE9a1atYKbmxtGjhwpcX1kZCQcHBxQUFAgcf2YMWNw8OBBqKioVO+NEFJPFi1ahAcPHlSarmJwQ9dU5RrD91NNy25uSktLsWXLFvj6+kpNo6GhgV9//VVsUuq0tDS5m2FICm4+fvwIW1tbpKWlScwzcOBAeHp6olWrVhLX7927Fx4eHhLXqaqq4ueff4a1tbVc+wemEYiJiWE2bNjAjB49munbty8zePBgxsHBgQkMDJSah8PhMBwOh5k3b57UNE+ePGEcHR3Z7Q4ZMoT55ptvGE9PT6awsLDG+/3kyRPmyy+/ZPdl7969UtPu27ePTefi4sLExsYy6enpTEBAAPPVV18xHA6HGTRoEJOYmCiWNzk5mRk2bBjD4XCYcePGMUFBQUxGRgbz5s0bZsuWLSLbJaSxEXy2jxw5wuTn50v9Ky4uFslH15RsjeX7qSZlN0fCx2vx4sVMeHg4k5GRwfz777+Ml5cXM2TIEIbD4TD9+vVjoqOjRfKGhISweZOSkmReb6WlpSJ5CwoKGEtLS4bD4TAjRoxg/P39mbS0NCYuLo757bffmD59+jAcDof57rvvJO63t7c3W/batWuZ6OhoJiMjg7l37x4zdepUhsPhMH379mUiIyPlOg6NIrhpjI4fP8707duXPVmyvjxSUlLYtK6urmLrExMTmaFDhzIcDodxdnYWW799+3aGw+EwX375JZOSkiK23tXVleFwOIyRkRHz4cOHmr85Qj6TxMRE9vp58uSJ3PnompKtsXw/1bTs5iY1NZU9Xt9//z1TVlYmlubDhw+MiYkJw+FwmGXLlomsc3NzYzgcDjN27Ngql+3h4cFwOBymT58+zKtXr8TWnz59mv2sPX78WGQdl8tlhg8fzu53RTk5OWzgJKvCQliDbVDcWD19+hRff/01fvnlF/D5fBgbG1ea5/Tp0+Dz+VBTU8OKFSvE1nfq1AkODg4AgKtXr4o0gs7NzcWFCxcAAHPnzkWHDh3E8q9atQqtW7dGSUmJzKpKQhqaqKgoAOXTsRgZGcmdj64pyRrb91NNym6OgoKC2DHa1qxZAwUFBbE0+vr67ByIDx48EBnTTXC99evXr0rlMgzDNvOYOHGixKFZbG1tYWBgAADsfIwC/v7+7GC5a9asEcvbunVrrFq1CgAQHh6O9+/fV7pPFNzUsuXLlyMyMhKKioqYP38+zpw5U2meu3fvAgAGDx4sdRZ0wXQQPB4P9+7dY5c/fvyYnaJC2vxXGhoaGDFiBADg1q1b8r8ZQuqZ4Mu2Z8+eUFdXlzsfXVOSNbbvp5qU3RylpqZCTU0Nmpqa6NGjh9R03bp1A1A+WK3wOHKCceP69+9fpXKjo6PZRsjSzrOioiK7Ljg4GKWlpew6wXk2MDCQut8WFhbsnJPyXHMU3NQyBQUFmJmZ4cKFC9i8eXOl813x+Xx2wMC+fftKTde7d2+2sd3Lly/Z5YJxfhQUFGTe2Qoi6ffv30tt1EdIQyMIboyNjXHp0iU4ODhgyJAh6NevHywtLbFz506kpKSI5KFrSrrG9P1U07Kbo9WrVyMiIkLq2HACcXFxAMrPiyBozMjIYK8lPT09/Prrr5g6dSr69++PQYMGYc6cOfD29pbYuUdwngHZ50pwnrlcrkjty+vXrwFAZk2ipqYmunTpAuD/3wuyNNhZwRurc+fOVWlE45SUFPbDIqs7o4KCAvT09BAfH4+EhAR2eWJiIgCgXbt2aNGihdT8grmyGIZBUlISevfuLfc+ElJfBF9iV65cEZt1OD4+Hl5eXvD19cX+/fvx1VdfAaBrSpbG9P1U07KbM2m9kYDy+RqvXr0KoPzxkyDAFQ4M169fL/K4qri4GM+fP8fz58/h5+cHd3d36OjosOsF51lBQUHmuRKeszEhIQG9evVCaWkpG1RV1qW/U6dOiIuLk+s8U81NLavqVA3CVYLSql0FBJOJCk8WKsjfpk0bufICkDggIiENTUpKCjIyMgCU38VPmzYNPj4+CAsLQ0BAABwdHaGurg4ul4vvv/8ekZGRAOiakqUxfT/VtGwi2c6dO5GdnQ0AsLOzY5cL14a0bNkSzs7OuHnzJsLCwnDmzBmMGzcOABAREYHvvvsOPB6PTS84V2pqajLneJR0nnNyclBWVgagds8zBTf1TPgDUlkVseDOR/AMW/i1rLuiitsWLpOQhiopKQl6enpQVFTEpk2bsHfvXgwcOBDa2tro0aMHli9fDg8PD6ioqIDH42HHjh0A6JqqTfV5LGtaNhF36NAhXLp0CUD5GHDCgyfm5+ejdevW0NbWxoULF7Bw4ULo6+tDW1sbgwcPxp9//skGQy9evMD58+fZvDU5z8LnrDbPMwU39UxRsWanQNDAipCm5ssvv8SdO3cQEREhNgK5wKBBg/DNN98AAP755x/ExMTQNVWL6vNY1rRsIuqPP/5gR+bv1KkTfvvtN5FjvGHDBjx58gT37t2Dvr6+xG1s2LAB2traACDSs60hnmf69NQz4R4glUWjgvXC0W3Lli0BVH7nWFRUxL6uLLompCGRVc0N/L+3DFBeZU7XVO2pz2NZ07JJudLSUmzduhVubm4AgI4dO+LEiRNSpxWSdb2pqanB1NQUQHnPKsF5bYjnmYKbeib8DDIvL09mWsFzRkHkDPz/GaW8eSvmJ6SxE26kmJmZSddULarPY1nTskn5o6alS5eyE0EbGBjg7NmzUmtm5CFo9MswDNvWRnCei4qKRBoiVyR8HgXnSkNDg635qc3zTMFNPdPT02Oj0OTkZKnpGIaR2KJcMChSWlqa1Pm3hLetqKgodcI0QhoippLp74S/TFu2bEnXVC2qz2NZ07Kbu6SkJNja2rLzspmYmMDb27vSY1SV601Q6yI4z2VlZWJDM1TcJwHBfigqKqJr164AZJ9n4fXynGcKbuqZoqIievXqBUB0rICK3rx5w36ohEd/FEwQWlpaijdv3kjNLxicqXv37mwVIiEN2caNGzFs2DCYmZnJ/ML9999/2dfdu3ena6oW1eexrGnZzdn79+/xzTffsMd88uTJOHnyJNq2bSsxfUZGBsaOHQsTExPs2bNH5rYF11u7du3Y2jXBeQb+P2aNJILzrK6uLlJ7JMgv6zzn5eWxXcDlOc8U3DQA5ubmAMqHlZY2fHhwcDAAQEVFhR3NEyhv8S74MhCkqYjL5SIsLEykLEIaOi0tLWRnZyM9PR3//POP1HSXL18GUF69PWjQIAB0TdWm+jyWNSm7uUpKSoK9vT07M/eSJUvw22+/yWwX1rZtWxQUFIDL5eLevXtSbyZSU1MRGhoKABg9ejS7vHfv3mxtirTzXFZWhpCQEADAqFGjRBohC87zmzdvpI5hExISwo5qLFy2NBTcNADTpk2DkpIS8vPz2UZfwpKSkth5O2bMmCHyvFFdXR0TJkwAAJw6dUriB8PNzQ25ublQVlbGvHnz6uZNEFLLrKys2Nc7d+4UGa5dwN/fn/3CtLW1hYaGBgC6pmpTfR7LmpTdHJWUlMDR0RGfPn0CAKxduxbr16+XOMeUMAUFBfZ6+/fffyVOy8Hn87Fp0ybw+XwoKyuzc3oJWFtbAygfcFPSzYi3tzc+fPgAAGJ5x48fDw0NDTAMg927d4sFV3l5efjjjz8AAKampiI1RdJQcNMAGBgYYP78+QCAEydOYPPmzfj333+RmZmJmzdvYt68ecjOzkabNm2wbNkysfxr166FhoYGcnJyYGdnh4CAAGRmZiI2NhZbt27FsWPHAJQP2ETPpEljYWRkhFmzZgEo7wVla2uLR48eISMjA7GxsdizZw82btwIAOBwOOzEegBdU7WpPo9lTctubnx8fPDixQsA5XM8zZs3DwUFBTL/BIHEihUr2B5Uu3btgqurK16/fo3MzEyEhobC3t4e9+/fZ9NWDDAWLVoEPT098Pl8LFq0COfPn0daWho+fvyIAwcOwMXFBQAwbtw4fPnllyJ5NTU12Qkzb968iZUrV+Lly5fIysrCw4cPYWdnh7i4OKiqqkqcWFMSBaay1kOkxgQfgiVLlmD9+vUS0/B4PKxevZq9C62oZcuW8PT0ZKvdK3r06BFWrlwJLpcrcb2lpSV+//13GsODNCo8Hg9OTk64fv261DR9+/bFkSNHxLq20jUln4b+/VTTspsTS0tLxMfHVylPUFAQO2fT69ev8d1337HTKVSkqKiIJUuWYO3atRLXv379GgsXLmRn+K7IxMQEx48fl9hGjWEYbNu2je3ZVZGysjL27duHSZMmyfO2KLj5HOT58gDKT66/vz98fX0RExMDLpcLXV1dmJqaYunSpexMrtIkJibir7/+wv379/Hp0yeoqqrC0NAQM2fOxMyZMyutmiSkoQoJCcH58+cRGRmJ7OxsaGpqolevXrCyssLMmTOlBhh0TVWuMXw/1bTs5iAzM7NabY6EgxugvPv42bNncevWLbx79w48Hg+6uroYOnQobG1tMWDAAJnby8rKgoeHB4KDg5GYmAhFRUX06NEDU6dOxbx58yodtyo4OBje3t74559/kJeXB21tbQwbNgyLFi2SOflqRRTcEEIIIaRJoTY3hBBCCGlSKLghhBBCSJNCwQ0hhBBCmhQKbgghhBDSpFBwQwghhJAmhYIbQgghhDQpFNwQQgghpEmh4IYQQgghTQoFN4QQQghpUpTrewdI4zF//nyEh4cDANasWYMVK1bIlW/Hjh3sLLMVh/puLATvXVVVVeKMt80Vn8+Hh4cHrly5guTkZCgqKkJXVxe//PILTExMpOaTZ1bfysTExNR4G9Ul2H8zMzN4enrWSRnyzhPUuXNnBAcH16isu3fvIigoCM+ePUN6ejoKCgqgpaWF9u3bY9iwYbC0tBSb7LC5+hznntQcBTekWg4dOoTx48ejZ8+e9b0rpB795z//QUBAgMiy/Px8tG/fvp72qGnIz8/Hx48f67yc+Ph4bNy4EU+fPhVbl5aWhrS0NERFReHYsWOwsLDA9u3b0aFDhzrfL0JqioIbUi08Hg8//vgjzp49C0VFerrZHMXGxrKBTefOnbFu3Tp06dIFOTk56Ny5s8y8ly5dkrrO2toaAKCrq4u//vqrtna3UXn9+jUE0/5t375d5mSFKioq1SojPT0dCxcuREJCAhQUFGBpaYkxY8aga9euaNGiBfLy8vDq1StcvHgRsbGxCAkJQXx8PE6fPo22bdtWq0xCPhcKbki1PX/+HKdOnYKDg0N97wqpB//++y/7evny5ZgyZYrcefv06VNpGlVVVbnSNUXR0dHs63HjxqFdu3a1Xsb+/fuRkJAARUVFuLm5Ydy4cWJpRo4cCXt7e/z0009skHPgwAHs2LGj1veHkNpEt9ykyhQVFaGsXB4XHzhw4LNUn5OGp7CwkH3dGNtRNWSC4EZXV7dOApvCwkL4+/sDACZOnCgxsBFQUVHB9u3b2do4Pz8/5OXl1fo+EVKbKLghVaasrIxFixYBKP+S3Lx5cz3vEakPZWVl7GslJaV63JOmRxDc1FXNVVxcHPh8PgDAwMCg0vSqqqpszRyPx8P79+/rZL8IqS30WIpUy6pVq3Dr1i28e/cOYWFhOHfuHL755psqb8fNzQ1//PEHAMDHxwcDBw6UmE5WjytBT6YJEybg4MGDePbsGU6ePIn//ve/yM3Nha6uLiwsLLB06VK2oWt8fDw8PT1x//59pKamQlNTE4MGDcKyZcvQr1+/Svf7yZMn8PT0xPPnz1FYWAg9PT2Ym5vDwcEBnTp1kpm3sLAQ3t7euH37Nt69e4f8/HxoaWnB2NgYVlZWmDRpksR2TI8fP8aCBQsAlLdZSU1Nxf79+xEbGwsNDQ0YGhpiz549VWrwyePxcOnSJQQGBiI6Ohq5ubnQ1NREr169MG7cOMyePRtqamoieYR7zQkI9gsATp06hWHDhsm9DzWRnp6Oc+fOITQ0FO/fv0dOTg6UlZWhpaWFfv36YfLkyZgwYQIUFBQk5n/37h3Onj2LsLAwJCQkoKysDNra2ujbty/Gjx+PqVOnsrWUVfHbb7/hyJEjAABjY2McP34crVu3lisvn89nH/kZGRlVueyqevbsmVzprK2tweFw0LZtW6kBUWlpKQICAhAcHIzIyEhkZmaCx+NBU1MTBgYGMDMzw9y5c6GtrS2W19nZGX5+fujbty8uXryImJgYHD9+HKGhocjMzES7du0wbNgwLFu2DN27dwdQfv49PT0RHByM5ORkqKmpoV+/fli0aBFGjhwptYzu3bvjxo0biIqKwpEjR/Ds2TPk5OSgXbt2GD58OL799ltwOBz5D2IF2dnZOH36NO7cuYP4+HgUFhZCR0cHAwYMgI2NDczNzWXmv3nzJi5fvsweQzU1NbRv3x5Dhw7FN99881k+F40dBTekWlRVVbFz507MmzcPZWVl2LNnD8zNzeu9J8Xhw4dx4MABtjEmACQkJMDLywu3b9+Gj48PXr16hXXr1qGgoIBNk5mZiVu3buHOnTtwd3fHqFGjpJZx4sQJuLq6ipTx4cMHfPjwAT4+PnB1dcWkSZMk5o2MjMSqVavw6dMnkeVpaWkICQlBSEgIvLy8cPDgQZk9ju7evYvff/+drT3h8XhITEysUi+l169fY82aNWJ34ZmZmQgPD0d4eDiOHz8ONzc3uQK+z83Pzw/btm1DUVGRyHIejwcul4ukpCQEBgbCwsICf/75p1jt0pUrV7Bx40a2BkMgJSUFKSkpCAoKwokTJ+Dh4VGlR0Pu7u7VDmyA8obaPB4PANCjRw+cOXMG169fR0xMDIqLi9GxY0eMHDkSixYtQrdu3eTerjADAwOoq6uDy+Xi8ePHcHV1xapVq9CqVSupeXr27Cmzd+THjx+xYsUKvH37VmxdZmYmMjMz8d///hdnzpzB8ePHZQ4H4Ofnhy1btoicm6SkJPj5+SE4OBinTp0Cj8fDihUrkJ6ezqYpLi7GgwcP8PDhQ+zcuROzZs2SWkZAQAD+85//iJSRnJwMPz8/XLlyBbt27cL06dOl5pfm7t27WL9+PXJzc0WWJycnIzk5GTdu3MCYMWOwd+9esePN5/OxZs0a3L59W2x5Xl4eYmNj4e3tjaVLl2LdunVV3rfmhIIbUm2DBg2CnZ0dvLy8kJeXh61bt+Lw4cP1tj/h4eEIDAxEhw4dsGjRIhgbGyMtLQ2HDx9GdHQ0kpOTsX79ekRGRqJFixZwdHTEkCFDwOPxcOHCBVy9ehV8Ph/bt2/HzZs3Jdae8Hg8/PLLL1BTU4ODgwNGjRqFkpIS3L59G97e3igqKsK6devQqVMnsR4ub9++hb29PbhcLjQ0NDB37lyMGDECmpqaSExMxNWrV3H79m08f/4cixYtgo+PD9TV1SW+199//x2ampr44Ycf0KdPH7x58waqqqpSaygq+vDhAxYuXIjMzEwAgIWFBaytrdGpUyekpqbi6tWrCAgIQHJyMhYsWAAfHx/2Tnbnzp3gcrkICgqCm5sbu8zY2BgAqv2DWxWhoaFwdnYGAGhpacHOzg4DBw5EmzZt8OnTJ7Y2kc/nIyQkBOfPn8ecOXPY/HFxcdi0aRP4fD66dOmCxYsXg8PhQElJCfHx8Th79iyeP3+O6OhobN++nX2flTlx4gQOHDgAoHqBDVAedArs2LED+fn5Iuvj4+MRHx8PX19fbN26FV9//XWVtg8AampqmDNnDo4dOwYAOH78OHx8fGBubo5Ro0Zh6NCh6Nq1q9zb4/F4WLx4MT58+AAAmDBhAiZPnowOHTqgoKAAsbGxOHnyJBITE5GRkYGffvoJPj4+Erf18eNHbN68Gerq6li5ciWGDBnC1oSEhoYiJycHmzdvRmJiIrhcLpYuXQozMzMoKSnhxo0bOH36NBiGwa5duzBx4kSJAVt6ejqcnZ1RUlKCWbNmYcqUKVBVVcX9+/dx/PhxFBcXw8nJCVpaWpXWsggLDQ3FihUrUFpaCh0dHdjZ2WHw4MFQU1PDhw8fcOHCBYSHhyM4OBirVq2Cp6enSNB99OhRNrAZN24crK2t0bFjR+Tn5yMyMhLHjh1DdnY2jh49ChMTE4wZM0bufWt2GELkNG/ePIbD4TDGxsbssoKCAsbCwoLhcDgMh8NhLl++LJZv+/bt7PqPHz+KrDt48CC77vnz51LLlrUNwX5xOBzGzMyMSUlJEVmfmZnJ9O/fn00zePBg5t27d2JlfP/992ya6OhoqWUMHDiQiYiIEMsfFBTEGBoaMhwOh7GxsRFbP336dIbD4TCjR49m4uLiJL7P06dPs+Xs3btXZF1YWBi7jsPhMA8ePJB8sOTg4ODAbufYsWMS01y8eJFNY2VlxZSVlYms9/X1ZdeHhYVVe18qEmzTwsJCapo5c+YwHA6HMTIyYiIjIyWmCQ4OZrdlb28vss7NzY3hcDhMnz59mISEBLG8PB6PmT17NsPhcBhDQ0MmIyND4j5+++237LK///6bXW5jY8Pk5ORU4V3/n4uLi8h5XrZsGXP9+nXmxYsXTHBwMLNp0ybGyMiIXX/16tVqlVNcXCzyOaj4N3r0aGbdunWMn58fk5mZKXNb586dY/Pt3LlTYpr8/HyR74rk5GSR9U5OTuy6AQMGMG/evBFZz+PxGDMzMzZN3759madPn4qV4+rqyqa5deuW1DI4HA7j7+8vlv/Zs2eMsbExw+FwGEtLS4bH44msl3TuGYZhCgsLGVNTU4bD4TBTp04V+8wI7Nmzh93G2bNnRdYJjo+Dg4PEvNHR0ey5X7ZsmcQ0pBw1KCY1oq6ujp9//pn938XFha0NqA9Lly4VezSmra2NoUOHsv8vWLCAfWYvTPguKC4uTmoZq1atQv/+/SXmnzFjBgDg5cuXIiMZP3z4kG0k6uTkJLV2w87Ojt1Xb29vsUcmAt26dYOpqanUfZQlOjoajx49AgB89dVXWLhwocR0M2bMgI2NDYDy0YDv3btXrfJqW2FhIXg8HrS0tGBhYSH1kZmFhQVbayLpMSBQ/vmV9ChPRUUFq1evxvz587Fx40aRR5CS+Pv7Y9u2bQCqX2MjIPicKCgoYNeuXTh8+DAmTZqEAQMGwMLCAi4uLjh69Cg7vs3WrVvFHoHIQ1VVFR4eHnB0dISGhobY+pSUFFy5cgVOTk4YNWoUnJ2dRR4BCUtISECnTp2gpqYmdeRyDQ0NjB07lv2/4jkRNmfOHPTu3VtkmYqKikj+qVOnYtCgQWJ5hdPIGuHZ2toa06ZNE1v+5Zdfsh0m4uLi2GulMpcvX2Y/Vy4uLlLHAnJ0dIS+vj6A8vZpwgTHV7C+oi+++AIrVqzA8uXLYWVlJdd+NVcU3JAaMzU1ZX8Es7KyRIKdz01SI0IAIgHPiBEjJKbR0dFhX3O5XIlpFBUVZT7HFwxAB5QHNAJ37txhX1cWlAiqwfPz86VO9SBrULfK3L9/n309e/ZsmWltbW0l5qtPLVu2hK+vLx4/foyDBw/KTCtoKyNowyLQo0cPAEBeXh5++OEHxMbGiuUdOXIkNm/eDHt7e5HPRkWBgYHYuHEjysrK0Ldv3xoFNkB5I/vz58/j5MmTmDlzpsQ0pqam7A9wXl4eLl68WK2ylJSUsHz5cty/fx/79u3DlClTJP4o8/l8+Pn5YeLEiRJHM3Z0dERISAieP38uc4A/XV1d9nXFcyJM2jUqfB0PHz5cYhrh8qVdx0D5jYQ0wsc9JCREajphgmtcU1NT4s2PgLKyMvsd8O7dO5EgT/C5vHDhAk6cOCGxy/2qVavg6OhYpXGlmiNqc0NqxcaNG3H//n2kpaXh+vXrmDJlisyxM+qKtJFxVVVV2dfCX7DS0ki7UzcwMECbNm2kli/ci+HNmzfsa+FB2YRrkSrz8eNHiXP66Onpyb2NioQbfErrnSZgZGQEFRUV8Pn8ep3LSRpBuygul4uEhATEx8fj3bt3iImJwbNnz5CcnAxA/HxaW1vD09MTnz59QlBQEIKCgtC1a1eMHDmS/ZMnQHnz5g3WrVuH0tJSAOWfIVmNcuWhpaUFLS2tStPNnj2bbeMWGhpao8E0NTQ0YGVlBSsrKzAMg7dv3yI8PByPHj1CaGgoGyTk5eVh+fLl8PPzk9gmR3A+SktLkZKSgvj4eMTFxeHt27eIiIhAVFQUm1Z4KIGKpI2bJHyNSms8L8913KJFC/Tt21dq+V27dkWbNm2Qk5ODd+/eSU0nTHCN5+XlVWnutI8fP7JB29KlS+Ho6Ag+n49ffvkFe/fuxcCBAzFixAiYmpqif//+NOyCnCi4IbWidevW2Lp1K1atWgUA2LZtG4YOHVqjO9iqUlJSEuu2LC1ddcm6gwfK79qUlZVRUlKCnJwcdnlWVla1ypP2uKEmP6DZ2dkAyn+IJHXJFSboVp2WlibyfhqClJQUHDt2DMHBwVIHklRUVJT4I9qmTRscP34cmzZtwosXLwCU/8j4+PjAx8cHSkpKGDJkCGbOnAkrKyupDbVTU1MBlP+g8ng8PH/+HF5eXrC3t6+dNylDp06d0Lp1a+Tm5iIpKanWtqugoAAOhwMOh4N58+ahsLAQPj4+OHDgAAoLC5GXlwcPDw9s375dJF9JSQl8fX3h5+eHqKgoiTUz8k7VIukxWUU1vY4ry6+trY2cnBypj+Iqqo1rfPLkyeByudizZw9ycnJQUlKCp0+f4unTp3Bzc4OWlhbGjh0Le3v7Wpl8timj4IbUGktLS0ycOBE3btxAWloaXF1dsWvXrlrZtqy7PIGGdkcjPOdPSUkJgPIvzOPHj8u9DWld6+XtFSVJZe1HKhIc+4Y0h9i9e/fwww8/iDx20NDQQM+ePdGrVy/069cPI0eOxKpVqyR2TQbKuzb7+PggIiICgYGBuHfvHpu2tLQUYWFhCAsLw8WLF3H48GGpgXOfPn2wf/9+2NraIisrCwcOHGDnaKprampqyM3Nldo2SxpB12xFRUX2UYg0LVu2hIODAwwNDdnaodDQUJE0WVlZWLJkichjVCUlJejr66NHjx7o06cPBg8ejMjISPz666+V7l9dX8vybF9QGyfv3F2Ca9zQ0BC7d++We18q1lIJem8FBwcjKCgIDx8+ZG9IsrOz4evri0uXLmHz5s2YO3eu3OU0NxTckFr1008/ISwsjL0IK3suLPwjLetHt6EM915Z7UV2drZIICMgeMzA5XJhaGhYr4GC4LFaWVkZsrKyZLaR4PP57J2lrMdxn1NaWhrWrl0LLpcLFRUVLF26FFOmTEGPHj3Egj5ZbS4EBgwYgAEDBmDDhg1IS0tDWFgY7ty5g9u3b6OoqAihoaHw9PTEypUrxfJ27doVJ06cgJaWFpydneHk5AQul4stW7bgxIkTVX5vOTk5ePHiBTIzM9GjRw+ZbatKS0vZH73KahSF8Xg8tk3LgAEDcO7cObnyjRgxAn369EF0dLRYY+Dt27ezgY2ZmRkWL14MExMTsYDwyZMncu9nXZKnFlJQEyPtMXZFghrO4uLiGo8s3bJlS0yZMgVTpkwBwzB4/fo1Hj58iJs3byIiIgKlpaVwcXHBqFGjPksQ3Rg1nFsx0iTo6Ohg48aN7P9btmwRmYOoIuE7qIqDsQkTtJ2ob3FxcTIbQkZGRrKvhdvfCHp+FBcXi7S/keTevXs4duwYAgMD66TnmXB1dkREhMy0UVFRbK1AZXf4n8vly5fZYHf58uVYvXo1evbsKRbY8Hg8qY8UioqKEB0dLVaro6urCysrK/z666/w9vZmg1DhBuHC9PX12cDV2tqaDRpCQ0Nx/vz5Kr+3xMRELF26FM7OzpXW8L18+ZL9LArGGJKHqqoqO4r2q1ev5H7sAoAdd0m4RjEjIwOBgYEAytukHTlyBCNGjJBY01Wbj89qIjc3F4mJiVLXC0YOB8p7KMlDcI3HxcVVet1eu3YNJ0+exO3bt0UC8PT0dISHh4vczCkoKKBPnz5YvHgxzp07x9aelZSUNJhG/g0RBTek1llbW2P06NEAyr+sr1y5IjWtcJuchIQEiWkyMzNFgob6VFxcjKCgIKnrL1y4AKD8C8nMzIxdLvz67NmzUvOXlpZi+/bt2L17N1avXi0zMKwu4X2RNpCagLe3N/u6ul3Pa5twN31ZP+qBgYEoLi4G8P9HBkB50DNs2DBYW1uz3bclMTIyYu/aBdupzPbt29GiRQsAwJ49e9g2OfLq3bs3GyzdvXtXZjsO4eCnqj1nBI39+Xx+pT3OBNLS0tgGwcKN4j9+/Mg+ujQ0NJQ6XUVubq5IkCh47FNfBBOHSuLr68u+Hj9+vFzbE1xXDMPg77//lpouLy8PW7Zswa5du/Cf//yHDcr9/f1hamqK+fPns8GiJMKDCsq60WruKLghdWLHjh1so0BZ7QGEaxF8fHzE0paUlGDbtm1VblNQl1xcXCTegfr5+bFfSl999ZXIWDrjxo1jq499fX1x+fJlidv+5Zdf2CBv7NixUnt/1YSRkRH74xQSEiI21obApUuXcOnSJQDltTZfffVVre9LdQg/7pM29k5kZCR27tzJ/i/8I6CqqsoGas+ePZP6QxIeHs4+fpF3+gl9fX12nJfc3FyZwZMkKioq7IjDXC4X27ZtkxgEnDlzBgEBAQCAUaNGyex6LMnixYuhqakJoPy6E4w6LU1mZiZWr16NoqIiKCsr49tvv2XXCZ+P58+fi42oDJQPa7B+/XqRGo36/mE+evQoXr58KbY8LCwMJ0+eBFA+5o28x/brr79mG/q7u7uLtUsCyh8FOzs7s1O/zJo1Cy1btgRQfvMgaN/j7u4uNbAVvlmsSo1dc0Ntbkid0NPTw/r168V6VFRkYmKCbt26IT4+Hv/88w8cHBxgb28PXV1dvHv3DmfOnEFUVBSbpr61bNkSaWlpmDlzJpYsWYKBAweCy+Xi2rVr8PPzA1D+7L3ij5qysjJ2794Ne3t78Pl8bNiwASEhIZgyZQp0dXWRmJgIHx8fhIWFAShv37Jp06Y6ex8uLi6YOXMmcnNz4eLigtDQUFhbW0NPTw9paWm4du0arl+/DqC82+z+/furNYFkXZg4cSKOHDkChmFw9uxZFBYWYsKECdDW1ma7dl+7dk0kIM7PzwfDMOxd8qpVq3D37l2UlJRg7dq1mD59Or766it06NAB2dnZCA8PZ2vYWrZsyY4pI4/Fixfj2rVrePv2LYKCgnD9+nVMnjxZ7vzLly/H7du38f79e9y4cYOdAqNbt25ITU2Fv78/bt68CQDo2LFjtcaV6tChAw4fPoxFixahqKgIXl5eCAgIwMSJEzFkyBC2m/WnT58QHh4Of39/9gd5x44dIo8o9fX1YWRkhFevXiE1NRVz587Ft99+C319fRQUFCAyMhLnzp0Te7Rc3+3oCgsLMX/+fDg4OMDU1BSlpaW4c+cOvLy8wOfz0aJFC+zYsUPu7bVu3Ro///wzHB0d2ekoZs6cibFjx6J169b48OEDvLy82NqvLl264Pvvv2fzt2vXDvPnz8exY8eQkJCAadOmwd7eHl988QU0NDTYea8EAf3w4cMxePDg2j0oTUjD+LYiTZKtrS2uX78usxGhkpIS9u7di8WLFyMvL4/t9ihs7NixsLa2FvkiqC+CXh9Hjx6V2CNCT08PR44cQceOHcXWDRo0CEePHoWjoyOys7Nx/fp1NoAQ1rFjR/z5559Sx/qoDd26dYOXlxdWrlyJhIQEBAcHIzg4WCxd165dsX//frnbHXwOffr0wZo1a7B//34wDIOLFy9KHMROMJGrYI6puLg4djZrIyMjuLq64scff0RxcTF8fX1FHkUIaGlpYd++fVVqb6SiooLt27fDzs4ODMNg586dGDFiRKXd7gVatWqF48ePY+XKlYiKikJERITESRJ79eqFP/74o9pjHg0ePBhnzpzBjh07EBERgfT0dJw+fRqnT5+WmF5XVxdbtmzBhAkTxNa5urpiwYIFyM7ORkxMDJycnCTm/+6779gbHsHM5/VlyZIl8PDwwKFDh3Do0CGRdTo6Ojh06JDYKMmVmTx5MkpKSvDTTz+xXeglPfrt3bs33N3dxYbKcHR0RGJiIgIDA5Gamoq9e/dKLGfQoEFyP05srii4IXVGQUEBO3fuxPTp02U2Fh44cCACAgJw7NgxhISEICkpCS1btoShoSG+/vprWFlZyT1K6Oewbt06DBgwACdPnkR0dDRKS0vRrVs3TJw4EQsWLJA5RsfIkSMRFBQEb29v3LlzB7GxscjLy4O6ujp69eqFsWPHYs6cOTUeCE4eX3zxBQICAnD+/HncunULMTExyMvLg46ODrp3746pU6diypQpbLV5Q7J8+XL0798fXl5eiIyMRHZ2NlRUVKCrqwsjIyPY2NjA3NwcoaGhbG+ggIAAkakBrKysMHDgQJw9exZhYWGIj49HUVERNDU1YWBgAHNzc9ja2so1oF5FgwYNwjfffAMfHx9kZGTAxcUF+/btkzu/np4efHx8cOXKFVy7dg1RUVHIy8tDmzZt0KtXL0yaNAkzZ84UGbCuOoyNjdkaw7t37+Lp06dIT09HVlYWFBQUoKuri549e8LS0hITJkyQ+rk0NDTE5cuX4eHhgfv37yMxMREMw6B169bo2bMnLCwsMGvWLGhqauKvv/5CUlISbty4gTVr1tRoWIOasLe3x+jRo+Hh4YEXL16gpKQE+vr6mDBhAmxtbavdO3DatGkYOXIkzpw5g/v37yM+Ph4FBQVo1aoVvvjiC0yaNAk2NjYSz52qqioOHjyIkJAQXLp0CS9fvkRaWhoYhoGOjg769++PSZMmYeLEifV23BoLBaaqg14QQgghjZCzszP7+PjBgwdyd/MmjQ81KCaEEEJIk0LBDSGEEEKaFApuCCGEENKkUHBDCCGEkCaFghtCCCGENCnUW4oQQgghTQrV3BBCCCGkSaHghhBCCCFNCgU3hBBCCGlSKLghhBBCSJNCwQ0hhBBCmpT/AURrLVKm/Y49AAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# run recruitment experiment\n", + "means, stds, last_task_sample = fn.recruitment_exp(\n", + " data, classes, num_tasks, num_trees, reps, estimation_set, shift=4\n", + ")\n", + "# plot results\n", + "fn.recruitment_plot(means, stds, last_task_sample, num_tasks)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Throughout all the above experiments, even though generalization error remains high due to the sheer amount of different labels across all the different datsets, our lifelong learning algorithm still outperforms the other recruitment methods." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Other Experiments" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Effect of Normalization\n", + "\n", + "When examining data across different datasets, normalization and standardization of data is often of interest. However, this can also lead to loss of information, as we are placing all the images on the same scale. As a final experiment, we also look into the effect of normalization on the FTE/BTE results." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import and Process Data\n", + "\n", + "The `import_data` function has a `normalize` parameter, where one can specify whether they want to normalize the data, normalize across the dataset, or just normalize across each image. Previously, for the original FTE/BTE experiment, we set `normalize=False`.\n", + "\n", + "Here, we look at the other two options." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# normalize across dataset\n", + "data1, classes1 = fn.import_data(normalize=\"dataset\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# normalize across each image\n", + "data2, classes2 = fn.import_data(normalize=\"image\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Hyperparameters\n", + "\n", + "We use the same parameters as before:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "##### MAIN HYPERPARAMS ##################\n", + "model = \"odif\"\n", + "num_tasks = 5\n", + "num_trees = 10\n", + "reps = 4\n", + "#########################################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Run Experiment and Plot Results\n", + "\n", + "We first run the FTE/BTE experiment by normalizing across each dataset, such that the images in each dataset have a range of [0,1] in each channel." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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VESIlIiIiEgpN8Bw8eLDQB509exbTpk1DZmYmmjRpglGjRsHPzw8eHh7KY1JTU3Hq1Cn88ssv+Pfff+Hk5IT58+ejffv2pfsdEBERERlI9+7d0b17dzx8+BBnzpxBfHw8kpOT4erqimrVquGFF15A5cqVjR0mERERESS5uGk6+SQkJKB379549OgRBg8ejBkzZsDKquhazYsXL8bixYtRoUIFbNu2DV5eXs8UtKULDg5GSEiIscMgIiIql37++WfY29ujb9++qFixorHDsUgc6xAREelP7y5aK1euRFJSEnx8fPDFF18Um9wBgAkTJqBly5ZITU3FihUrShQoERERUVkICQnBrFmz8O677xo7FCIiIiKd6Z3gOXToECRJQv/+/fUqwtynTx8AwLFjx/Q9JREREVGZiYmJAQAEBQUZORIiIiIi3emd4ImLiwMAjXo7ulCsT3/48KG+pyQiIiIqM4oLWM7OzkaOhIiIiEh3eid4bG1tAQD37t3T63HXrl0DAFSoUEHfUxIRERGVGT8/P8iyjH379hk7FCIiIiKd6Z3gadSoEWRZxu+//46srCydHvP48WNs3rwZkiShWbNmegdJREREVFb+97//wd3dHYcOHcKnn36qXLJFREREZMoKbZNemJ49eyIiIgJ37tzBpEmT8N133xU5hTk+Ph7vvfceEhISIEkSBgwY8EwBExERERnS2bNn8cYbb2DBggXYunUrtm7diho1aqBevXpwcXGBnZ1dkY+XJAmzZ88uo2iJiIiIBL3bpGdlZWHAgAHKJVdVqlRB37590bp1a9SsWRMODg5IT0/H3bt3ERYWhh07diA1NRUA4O/vj+XLl5f+d2Fh2DqUiIjIcBo1aqTRSEKWZb0aSwBAZGRkaYdlUTjWISIis5eeDmzdCly/DtSrBwQHAw4OBj2l3jN47OzssGLFCrz66quIi4tDQkICVq9ejdWrV2s9XpE/atGiBebPn/9s0RIRERGVgfzXv/S5HqZvMoiIiIjKmZMnge7dgZwcIDUVqFABGD8e2LcP8PU12Gn1TvAAQPXq1bFjxw4sWLAAmzZtQk5OTqHHOjk54e2338Zbb70Fa2vrEgdKREREVBbWrl1r7BCIiIjIXKWni+TOo0eqbSkp4t/u3YHYWIPN5ClRggcAKlasiM8++wyTJ0/G0aNHcfr0aTx8+BDJyclwdXVFtWrV0Lp1a3Tq1An29valGTMRERGRwbRp08bYIRAREZE5efgQOH9e3LZuBZKTtR+XkwOEhACvv26QMPRO8Pzzzz+oXr06GjRoAABwdnZGr1690KtXr1IPjoiIiIiIiIjIJKSnA5cuqZI5iltcnG6PT00FbtwwWHh6J3gWL16Mc+fOoXv37liwYIEhYiIiIiIyW4mJiXBzczN2GERERFRSubkiEZM/kXPtGpCXV/LnrVABqFu39OLMR+8Ez61btwCIDhNERERE5dnVq1dx48YNZGRkIDc3V2vx5ZycHGRmZiIlJQWRkZEIDQ3F6dOnjRQxERER6eX+/YKJnIsXxWwdXTk4AE2aAM2aAY0aAV9/raq7o87GRnTTMhC9EzwZGRkAAG9v71IPhoiIiMgUXL9+HR999JHe7c5L0lKdiIiIykBqqkjc5E/mxMfr/hySJFqeN2umeatfH1BvKtWlS8EuWjY2oouWAVul653gadiwIc6fP48zZ87g5ZdfNkRMREREREaTlpaGMWPG4P79+zq1R5ckSeM4T09PQ4ZHRERERcnJEUup8idybtwAdPi7ruThUTCR07ixSNYUx9cXiIkRBZdv3BDLsoKDDZrcAUqQ4JkyZQrefPNNbNq0CU2bNkW/fv0MEBYRERGRcfz222+Ii4uDJEmws7ND165d4eXlhb///htRUVFo06YNXnzxRSQnJ+PixYs4d+6ccubOokWL0LVrV2N/C0REROWfLIuW4/kTOZcuAZmZuj+PkxPw/PMFkzlVqz5bfI6OBuuWVRi9Ezw+Pj74+uuvMWPGDEybNg2LFy+Gr68v6tatC1dXV9jZ2RX7HEwKERERkak6evQoAMDBwQGbN2+Gj48PAMDNzQ1z5syBjY0NJk2apDw+IiICkydPRkJCApYuXYrAwEBYWVkZJXYiIqJyKTkZuHBBM5Fz4QKQmKj7c1hZAT4+BRM5deqIfeWA3gmejh07Ku/Lsox79+4hOjpa58dLksQEDxEREZmsqKgoSJKEPn36KJM7ANCyZUsAwH///Yfc3FxYP11r37p1a8yfPx8jRoxAZGQk9u/fjx49ehgjdCIiIvOWnQ1cuVJwVs7t2/o9T82a2pdXGXiJlLHpneDRthZdl/XpREREROYgOTkZANCiRQuN7Q0aNIAkScjIyMC1a9fQsGFD5T5fX1+0bdsWx48fx65du5jgISIiKoosA3fvFkzkXL4skjy6qlhR+/IqNzfDxW7C9E7wTJgwwRBxEBEREZkExYUrFxcXje1OTk5wd3fHw4cPCyR4AMDf3x9hYWG4cuVKmcVKRERk8h49KpjIuXABePxY9+ewsRHtx/Mncry9RWcrAsAEDxEREZGGSpUq4cGDB0hJSSmwz9vbGw8fPsTNmzcL7KtWrRoAIF6fdqtERETlRWammIGTP5lz755+z+PtXTCR07AhoEO9X0und4KHiIiIqDyrU6cOHjx4gPPnz6N///4a+7y9vXHq1ClERkYWeNyjR48AAFlZWWURJhERkXHk5YmaOPkTOVeuALm5uj9PpUoFEznPPw+4uhos9PKOCR4iIiIiNW3atMHx48exbds2DB06FPXq1VPua9CgAQDgxIkTSElJgbOzs3LfsWPHAACuHJgSEVF58fBhwUTOxYuAllmuhbKzEwWO8ydzPD25vKqUPXOCJzExERkZGcjVkqmTZRnZ2dnIysrCkydPEBkZiT///BN//PHHs56WiIiIyCAGDBiAZcuWIT09HYMGDcKwYcMwYsQIuLu746WXXsK3336L1NRUfPjhh5g+fTqcnJzw66+/4tChQ5AkCU2aNDH2t0BERKSf9HTg0qWCyZy4OP2ep06dgomcBg0AW1vDxE0aSpTgSUtLw8KFC7F9+3bldGQiIiKi8sDDwwPvvvsuFixYgLS0NKxYsQLt2rWDu7s76tevjw4dOuDff//FkSNH0KVLlwKPz7+si4iIyGTk5gI3bhRM5Fy7JpZe6crdveDSqqZNRVcrMpoStUl/5513cPLkyRK1R7eystL7MURERERlady4cbC3t8fixYuRnp4OLy8v5b7Zs2dj8ODBuH//foHHBQUFoVevXmUZKhERWar0dGDrVuD6daBePSA4GHBwUO2/f1/78qr0dN3P4eAgEjf5Z+V4eHB5lQnSO8Hz119/ITw8HNLTF9Pd3R21atXC7du38ejRI3h5eaFq1apITk7GrVu3kJ2drTz2gw8+QFBQUOl+B0REREQG8MYbb2Dw4MH4+++/UbNmTeV2Dw8PbN26FQsWLMDff/+NpKQkeHl5YdCgQRg5cqQRIyYiIotx8iTQvTuQkwOkpgKOjsBbbwF9+gDx8SKZo09XR0kC6tcvmMipVw+wtjbc90GlqkQJHoWvvvoKgwYNAgAsXLgQS5cuRbNmzTBv3jwAYinXL7/8giVLliA3NxeRkZF48803Syl0IiIiIsNydnZGnz59Cmx3c3PDzJkzMXPmTCNERUREFi0+HggIEIkdhbQ08e/mzcU/3sOjYCKnSRPAyckw8VKZ0TvBc+7cOUiShICAAGVyBwBat24NAAgNDVVuc3Jywrhx4+Di4oKvvvoKu3fvxrBhw/DCCy+UQuhEREREpW/16tUIDAxE7dq1jR0KERERIMtiRs7eveJ29Khu7cgrVNC+vKpqVcPHTEahd4JHUVS5Q4cOGtsbNWqk3H/37l2NtepDhw7Fpk2bcO3aNfzxxx9M8BAREZHJmjt3Lr799lvUqVMHgYGBCAwMxIsvvmjssIiIyJIkJgIHDoiEzl9/ATExuj/29deBL78UHa1YA9ei6J3gyczMBABUzZf1c3Nzg6urK5KTk3H16lWNBA8gig4uWrQI58+ff4ZwiYiIiAxPlmXcuHEDN2/exKpVq1C5cmX4+/ujS5cu6NixIxzUi1gSERE9q9xc4NQp1SydEyeK7mplZaV9v7Mz8PLLonYOWRy9Ezyurq5ITExEVlZWgX21atXCpUuXcPPmzQL7FAmfGH0yj0RERERl7Oeff8bhw4dx5MgR3L59GwCQmJiIbdu2Ydu2bbC3t0fbtm0RGBiIgICAAhe9iIiIdHL/vpids3cvsG8fkJBQ+LGVKwPdugFBQYC/P9CqFfB0dY0GGxvRTYsskt4Jnho1aiAxMRHXr18vsM/b2xsXL15EVFRUgX3Z2dkAgHR9WrIRERERlbH27dujffv2+PTTT3H37l1lsic8PBxZWVnIyMjAkSNHcOTIEXzxxRdo2rSpcilXw4YNjR0+ERGZquxsICxMNUvn9OnCj5UkwNdXJHSCgsR9G7WP7/v2aXbRqlBB7N+3T7NVOlkUvRM8rVu3xoULF7B9+3a89dZbcFKrtF3v6TSw8PBwyLKsbI8OABcuXAAAODo6PmvMRERERGXCy8sLw4cPx/Dhw5GRkYGwsDAcOXIER48eRUxMDGRZxvnz53HhwgUsXLgQNWvWRGBgIP73v/8ZO3QiIjIFd+6oEjoHDwLJyYUf6+EB9OghEjrdugHu7oUf6+sr6vJs3QrcuAHUrStm7jC5Y9H0TvD07t0ba9asQWxsLF577TV89NFH6NChAyRJUnbSiouLw+LFi/Hee+8BACIiIvDHH39AkiRlEoiIiIjInDg4OCAgIAABAQEAgGvXruHIkSM4fPgwTp48CQCIjo7G+vXrmeAhIrJUGRnAP/+okjqXLhV+rI0N0KGDapZO8+b6FUV2dBQFlYme0jvB8/zzz6N79+7Yt28frl69irfeegvLly+Hv78//Pz8UKdOHdy6dQtLly7F9u3b4ejoiBs3biA3NxeSJKF79+6lEvjFixexbt06hIeHIz4+Hk5OTqhVqxZ69OiBV199FS4uLs98jtzcXGzfvh3bt2/H5cuXkZqaiipVqqBJkyYYMGAAunbtWuxzjB07FocPH9bpfE2bNkVISMgzRk1ERESGdvPmTURERODChQu4ceOGctayLMtGjoyIiMqULAPXrqkSOn//DRRVlsTbW5XQCQwEXF3LLlYq9/RO8ADAt99+i6ysLBw+fBiSJKFWrVoAAEmS8NVXX2H06NHIyclBdHQ0ANVgp169ehg6dOgzB718+XIsWLAAeWpVw7OysvDo0SNcuHABGzduxMKFC9G8efMSnyMpKQnjxo3D6XzrIuPi4hAXF4dDhw6hW7du+L//+78iO2lERkaWOAYiIiIyDbdv38aJEydw4sQJhIeH4+HDh8p96kmd6tWro23bts98Pl7IIiIyYSkpwKFDqgLJN24Ufqy9vSiKrEjqNGok6usQGUCJEjwODg5Yvnw5wsLCsHv3bo2W6K1bt8aqVavwxRdf4MbTH3RJkuDv749Zs2bB3t7+mQLesGED5s+fD0DU8xkyZAiaNWuG5ORk7Nq1CxEREYiNjcXYsWPx+++/w9PTU+9zZGdnayR36tevj4EDB6JatWq4fv06tmzZgvj4eOzfvx9Tp07FDz/8oPV5EhMTcf/+fQCAv78/Bg8eXOR5S2OwRkRERM/u7t27OH78OMLDwxEeHo4HDx4o96kndCpVqgQ/Pz+0bdsW7dq1w3PPPffM5+aFLCIiEyPLwPnzqlk6x46JgsmF8fFRJXT8/QG1urVEhiTJBpxLfPv2bSQlJaFWrVpwL6pAlI5iY2MRFBSEjIwMuLq6Yv369fDx8VHul2UZ8+fPx48//ggA6N69OxYtWqT3eX7++WfMnTsXABAQEICFCxfCzs5OuT8xMRGjRo3ClStXAADLli1DYGBggecJDQ3F6NGjAQDTp08vldlLABAcHMwrYERERAYSEBCAuLg45dfqQyUnJyf4+voqEzqNGjUq1XNv2LABX375JYDCL2QBgJub2zNdyBo+fHixF7IAoGfPnkVeyGrXrh0A3S9ktWnTRqcYOdYhIqNLSgIOHFAldWJiCj+2QgWgSxeR0OnRQxQ8JjICvWfwXLx4EU2bNtXp2Nq1a6N27dp6B1WYNWvWICMjAwAwadIkjeQOIGYKvf/++zh16hQiIiKwb98+REVFoUGDBjqfIzs7G6tWrQIgBnFff/21RnIHEIOqBQsW4OWXX0Zubi6WLl2qNcGjflWLbVOJiIjMQ2xsLCRJUnYE7dChAzp37owWLVqgadOmsLa2Nth5v/32WwDQeiHrtddeU17ISkxMxDfffFOiC1nr1q1TJne0XcgaNmyY8kLWnj170LdvX63jnMuXLyvv+/v767Ski4jIZOXlAadOqRI6x4+LbYVp3lwkdHr2BNq3B/J9ZiQyBj1KdAsDBgxA586d8cUXX+Do0aPILmpqWimSZRm7du0CIJaIDRw4sNBjR40apby/c+dOvc4TGhqqXFcfFBSEKlWqaD2uTp068Pf3BwCcP38et2/fLnCMIsEjSVKpX+EjIiIiw1GftRMWFoaQkBDs2bMHx44dQ2pqqkHOqeuFLEXXUsWFLH3ocyFLkchaunSp1ufihSwiMnv37wPr1gFDh4oW5W3aANOnA6GhBZM7lSsDgwcDP/8MREcDZ88Cc+cCnTszuUMmQ+8EDwDcv38fmzdvxtixY+Hn54eJEydi27ZtePToUSmHp3Lt2jXldOHWrVsXWcvHz88PVk/byx05ckSv8xw/flx5v2PHjkUe2759e+V9bQUGFVe2PD094ezsrFccREREZBxr1qzB2LFj0axZM0iShLy8PERGRmLNmjV455134OfnhyFDhmD+/PkICwtDVlbWM5+TF7KIiMpAdrZoYf6//wGtWgHVqwMjRgAbNwJqxfMBiELI6gmfBw+AzZuB0aOBmjWNEz9RMfReojV27FgcOXJEmbxIS0vD/v37sX//flhZWeGFF15AYGAgAgMDS6XQoIKi3g1Q/FUiFxcXeHh4IDY2FlFRUcjJyYGNjW7f6tWrV3U+T/369ZX38xcZzMzMxM2bNwFAOejJyclBVFQUHjx4ACcnJ9SpU6dUahMRERFR6Wnbti3atm2LKVOm4MmTJzh+/DhCQ0MRGhqK27dvIycnB2fPnsW5c+fw008/wdbWFi1atFAWW27ZsqXO4w6FklzIysvLw5EjRzBlyhSdz6PvhaxDhw4BEBeyRo4cqbGfF7KIyCzcuaPqdnXgAJCcXPixHh6ihk5QENCtG8DPamRm9E7wTJkyBVOmTMGDBw9w5MgRHD16FKGhoUhNTUVubi5OnTqFU6dO4bvvvsNzzz2nTPa8+OKLkJ6hHZyi5ToAZVv2otSsWROxsbHIyclBXFycTo8BgHv37invF1e4UH2/enyASBTl5OQAAKpVq4Y5c+Zg69atePz4sfIYSZLQsmVLTJw4UWM2EBEREZmGihUrolu3bujWrRsAUScnNDQUYWFhOHHiBOLj45GVlYWTJ08iIiICS5YsgYODQ4HuVMXhhSwiolKSkSFm6Shq6Vy6VPixNjaifo6i41WLFoBViRa5EJmEErVJB0TSYtCgQRg0aBBycnJw8uRJHD16FEeOHFG2R7958yZ+/vln/Pzzz6hcuTL8/f0RGBioHCTpIyEhQXm/cuXKxR7v6uqqvP/o0SOdEzyJiYkAROcKR0dHvc6hTr3w4MaNG7U+XpZlnD59GqNHj8a4ceMwefJknWIkIiIi46hRowYGDBiAAQMGABAdQ3fs2IE1a9YgNTUVsiwr6+jogxeyiIhKSJaBa9dUCZ2//wbS0ws/3ttbldAJDATUPtMRmbsSJ3g0nsTGBu3atUO7du3wySef4N69e8rZPSdOnEBGRgYSExOxdetWbN++HZeKyqIWQn2w5ODgUOzx6lOb04v6Bc9HcWxRU6O1nSMtLU1jn3qCBwC6deuGESNGoHHjxrCyskJUVBQ2bNiAP//8E4BotV65cuUC05+JiIjItKSmpiI8PFy5bEtxYetZ8EIWEZEeUlJEIkeR1CnqfdjeHvD3VyV1GjUS9XWIyqFSSfDkV6tWLbRr1w6SJEGSJBw+fFjZblS9K4U+1Lt12draFnu8ekcIxRUmXSiO1fccubm5GvtiY2OV9z/99NMCiZuWLVuiZcuWaN68OWbNmgUA+P7779GzZ09Uq1atwLk2b96MzZs3AwCSkpJ0/G6IiIjoWeXl5eHcuXP4999/ERoairNnzyr/7quPaxo0aICAgAAEBATofQ5eyCIiKoIsAxcuqBI6//wjCiYXxsdHldDx9wecnMouViIjKrUEz61btxAeHo4TJ04gPDxc2aFBQTEAqlGjRomeX/0qky6t2dU7WuiSrFE/T1pa2jOfY+nSpcjIyMCDBw/g7e1d6HMMHz4chw8fxrFjx5CRkYGQkBC88847BY4bMmQIhgwZAgAIDg7W9dshIiKiErh9+7YyoXPixAmkpKQo9ynGNHZ2dvD19UVgYCA6d+5c7JKnolj6hSyAF7OIKJ+kJFEUWZHUiYkp/NgKFYAuXURCp0cPoG7dsouTyISUOMFz584dnDhxQpnQUXR+ADSvZrm5ucHPzw/t2rVD27Zti0x2FMVJLeuamZlZ7PHqxxQ3BTn/edLS0nRqeap+Dm1X2xwcHHT6foODg3Hs2DEAQHh4uNYEDxEREZWNwMBAjQSG+rimSpUq8Pf3R0BAADp06KAxPnkWln4hC+DFLCKLl5cHnDqlSugcPy62FaZ5c9UsnQ4dALWkNJGl0jvB8/HHHyM8PBz3799XblMf+Dg7O6N169bKhE5xHRp05eLioryffx24NupF/qpUqaLXeR4+fIj09HRkZmYWOYW5pOfIr0GDBsr76v+vREREVPZi8l0lbtSoETp37ozAwEA0b97cIOfkhSwiskj37wP79omEzr59QL5VIBoqVxatyxWzdGrWLLs4icyE3gmeP//8U1lPBwDc3d2V03B9fX3RrFkzWBmgtVxdtWl26lfVCqMYnNnZ2aFq1ap6nefGjRuQZRmxsbF47rnnCj1WvaPEs0zL1rW1KRERERmenZ0d2rZtq6ynU716dYOfkxeyiMgiZGeLmTmKWTr//Vf4sZIE+PqqZun4+oq25kRUqBL/hkhPK4+7u7vD09MT9erVQ7169QyS3AEAHx8f5f0rV64Ueezjx4+VA4gGDRrA2tpa5/M0aNAABw4cACBagBaV4Ll69aryfqNGjZT34+LisH//fiQkJKB69ep49dVXizxnXFyc8n5h69KJiIiobISHh+tU6Lgwp06dQqtWrfR6DC9kEVG5decO8NdfIqFz4ACQnFz4sR4eYnZOUJCYrePuXnZxEpUDev/FHTduHMLCwnDhwgXk5OTg8uXLuHLlCtauXQtra2s0adIEfn5+aNu2LVq3bq1TlwZdeHt7w9PTE9HR0Th16hSys7MLXXN+/Phx5D1dr+nn56fXedq2bYtly5YBAMLCwtC9e/dCjw0LC1PeVz/P48ePlQUFa9SogSFDhigTYtoopi0D0HtASERERKXrjz/+wNChQ/V+XHp6Ov7v//4Pv/76Ky5duqTXY3khi4jKjYwM0eVKMUunqPdDGxugfXvVLJ0WLQADTRggsgR6//ZMmjQJmzZtwvHjx7F06VIMGzYMdevWhSzLyMnJwblz57By5Uq8+eabaN26NYYNG4ZFixbh5MmTOhX0K0rPnj0BAMnJyQgJCSn0uDVr1ijv9+7dW69ztGnTRnklbPv27UhMTNR63PXr13H06FEAYlCmPjBr0KABPDw8AIircAcPHiz0fHFxcdiyZQsAwMrKCq+88ope8RIREVHp+uqrr7Bp0ya9HhMaGorevXtj48aNGrUJdaW4kAVAeSGrMM96IUtB/UKVNsVdyFq2bBmWL19e7PfLC1lE5ZwsA1FRwKJFwMsvA25uQPfuwPffa0/ueHsDb78NhISImjtHjgDTpgEvvMDkDtEzKvFvkLOzMwIDA/HZZ59h165dOHr0KL755hu88sorqFq1KmRZRnZ2NiIiIrB06VKMGDECbdq0wZgxY0oc7LBhw5RFCOfOnYtz584VOGbevHn47+lazo4dO6Jp06Z6ncPKykoZY2pqKqZMmYK0tDSNYxITEzF58mRly9CxY8cWeI4RI0Yov54xYwauXbtW4FwPHjzAO++8gydPngAAXnvtNXh5eekVLxEREZW+mTNn6pTkSUlJwf/+9z+MGTMGMTExkGW5yFm7ReGFLCIyOenpwMaNwFdfiX8zMsT2lBRgxw5g/Higfn3AxweYOBHYvVs8Rp29vWbC59Yt4Mcfgf79AVfXMv+WiMozSS7JZSYd3Lx5ExEREQgPD8fff/+NlJQUcUJJQmRkZImfd82aNZgzZw4A0bJz4MCBaNWqFVJTU7Fz506cPHkSAFCxYkWEhIQU6O4QEhKCadOmARDryQ8dOlTgHDk5ORg8eDAuXrwIAPDy8sLgwYNRq1Yt3LhxA5s2bVK2hQ8ICMCyZcsKDOays7MxatQoREREABCdJl555RW0bt0aAHD+/HmEhIQo/19eeOEFrF69WqdOGMHBwUUO/IiIiKjkWrZsiYyMDFhZWeGLL77A4MGDtR536NAhfPHFF4iPj1fOYqlfvz6+/PJLvPjii3qfNzY2Fr169UJaWhoqVKiANWvWFOjaNW/ePPz0008AxIWsVatW6X2e1atX45tvvgGgWpqu3sUrMTERI0eOVC7RmjdvXoFE0sqVK/Hdd98BEPUYf/nlF9SvX1/jmAcPHuDtt99WjvuGDh2K6dOn6xQjxzpEJuDkSZGYyckBUlMBR0cxW6dpU+DsWVEwuTA+PqplV/7+gNp7DBEZjkESPE+ePMGJEyfw77//IjQ0FHfu3AEA5VWtZ0nwAMDChQuxbNky5fTk/Nzd3bF06VK0aNGiwD5dEjyAGNyMHTtW6ywhBX9/f/zwww8agyJ1KSkpmDp1Kvbv31/k99O9e3fMmTMHzs7ORR6nwEEPERGR4URERGDs2LFITU2FlZUVZs6ciUGDBin3JyUlYdasWdi9ezcAMb6xs7PDuHHj8OabbxZaI1AXvJAlcKxDZGTp6aINuQ5d/QAAFSoAXbqoWpirFY4norJTKgmenJwcnDlzRpnQuXDhgjL5onh6KysrNG/eHAEBAQWWNJXEhQsXsGHDBoSHhyM+Ph7W1taoXbs2AgMDMWLECFSqVEnr43RN8ABAbm4utm7dil27duHy5ctITk5GxYoV8fzzzyM4OBi9evXSKdawsDCEhITgv//+Q3x8PKysrFC1alW0atUKr7zyCtq1a6fX985BDxERkWGdPXsWb731FpKTkzWSPLt27cLXX3+NpKQk5RinTZs2+PLLL4ssWKwPS7+QBXCsQ2R0GzcCb70F5CtVoaF5c9UsnQ4dADu7souPiLQqcYLn+vXryoROeHg40tXWWiqeskKFCujQoQMCAgLg7+8PNze30onawnHQQ0REZHiRkZF44403kJSUpLxQdfbsWeU4x9XVFZ988gmCg4NL/dyWfCEL4FiHyOjefRd42lm4AEkCPvwQ+Pbbso2JiIqld4Jn6tSpCAsLw4MHD5Tb1J+iVq1a6Ny5MwIDA+Hr6/tM05RJOw56iIiIysa1a9cwevRoxMfHQ5Ik5ZinT58+mDZtGi9eGQjHOkRGdOyYqL2Tv1iygrOzKJL8+utlGxcRFctG3wds27ZNY4BjbW2NFi1aICAgAAEBAQUK7BERERGZq/r162P9+vUYOXIk4uLiIEkSBgwYgFmzZhk7NCKi0rd3LxAcXHhyBwBsbMQxRGRy9E7wAKJFeseOHdG5c2f4+/sXOk2YiIiIyNzVrl0bGzduxMiRI3H37l388ccfaN68eaHdtYiIzNJvvwFDh6q6Y7m5ifuyLLpoVaggkjv79gEODsaNlYi00jvB07hxY7Rt2xaDBg1CXVZHJyIiIjOlqFWjK29vb9y9exeyLOOLL77A8ePHYW9vX+A4SZIwe/bs0gqTiMjwVq4Exo4FFMXda9cGDhwAPD2BrVuBGzdEZ6zgYCZ3iEyY3gmetLQ0rFmzBlevXsWqVasMERMRERGRwW3durVA++/iKI6XZRl79uwp9DgmeIjIbMybJ4omKzRuDOzfL5I7AGvtEJkRvRM89+/fBwD06NGj1IMhIiIiKkslbCZaJH2TRkRERiHLwOefA19/rdrWqpWow+Pubry4iKjE9E7w2NvbIzMzEzY2JSrfQ0RERGQS1q5da+wQiIiMIy8PmDgRWLJEte2ll4AdOwAXF+PFRUTPRO8sTefOnbF9+3Zs3boV/fv351UqIiIiMktt2rQxdghERGUvOxt44w1g/XrVtpdfFkWWHR2NFxcRPTMrfR8wbdo01KtXDxEREXjzzTcRERGBbEWldSIiIiILcv78eeQpipISEZm6jAxg4EDN5M5rr4lCykzuEJk9vWfw/Pbbb+jatSvWrFmD0NBQhIaGwtbWFrVq1YKLiwvs7OyKfLwkSfjll19KHDARERFRWUhNTcXPP/+Mbdu2Yfbs2fDz89PYn5CQgEGDBsHNzQ1Dhw7FW2+9Vew4iIjIaJ48AV55Bfj7b9W2d94BFi8GrK2NFxcRlRq9Ezzz5s3TWJYlyzKysrJw8+bNYh8ryzKXdBEREZHJu3PnDt544w1ER0cDAG7dulUgwXPv3j0AQFJSEhYvXoyDBw9i5cqVcHNzK/N4iYiKlJAA9OoFhIertk2dCsyeDfDzGVG5ofcSLUAkahQ3bdsKuxERERGZuqysLLz99tu4d+8eZFmGlZUVcnNzCxzn6uqK/v37w8XFBbIsIzIyEpMmTTJCxERERYiJAfz9NZM733wDzJnD5A5ROaP3DJ6DBw8aIg4iIiIik/Dbb7/h1q1bkCQJbdq0wXfffYdq1aoVOO65557DnDlzkJKSgs8++wx79+5FREQEdu/ejV69ehkhciKifG7cALp1E/8CIqGzbBkwdqxx4yIig9A7wePp6WmIOIiIiIhMwl9//QUA8PLywsqVK2Fra1vk8c7Ozpg7dy7Onz+PmJgYbN++nQkeIjK+ixdFcic2VnxtYwOsXSuKKhNRuVSiJVpERERE5dXVq1chSRIGDRpUbHJHwd7eHsHBwZBlGRcvXjRwhERExQgPB156SZXccXAAtm1jcoeonNN7Bo82d+/exenTp5GQkIDU1FQ4OTmhevXqaNy4MerUqVMapyAiIiIqEykpKQCAWrVq6fW45557DgDw6NGjUo6IiEgPf/8N9O0LPH0vQ8WKwI4dog4PEZVrz5TgOXToEBYtWoTLly8XekydOnUwefJkdO/e/VlORURERFQm3N3dcf/+fcTHx+v1uOTkZABiyRYRkVH8+ScweDCQmSm+rlIF+OsvoFUr48ZFRGWixEu0Zs+ejfHjx+Py5ctFds66ceMGJk2ahJkzZ5Zm3EREREQG4e3tDVmWsXfvXr0ep2hEoZjJQ0RUptavB4KDVckdT0/g6FEmd4gsSIlm8CxduhRr165Vfl2vXj20a9cO3t7ecHR0RGpqKm7fvo3Q0FDcvn0bsixj06ZNqFWrFsaMGVNqwRMRERGVtqCgIISHh+P06dNYv349hg0bVuxjtm/fjmPHjkGSJHTu3NnwQRIRqVuyBJgwQfV1vXrAgQMAE85EFkWSZVnW5wF3795Fz549kZubi4oVK+Krr75Cjx49Cj1+z549mDFjBpKTk2FjY4N9+/ahZs2azxy4JQsODkZISIixwyAiIiqXUlJS0LVrVzx+/BgA0K9fP4waNQoNGzYscOz169exfv16bN68GXl5eXBxccGBAwfg4uJS1mGXKxzrEOlIloE5c4D//U+1rVkzYN8+oHp148VFREah9wyejRs3IicnB9bW1li2bBlaFTPlr2fPnqhWrRqGDx+O3NxchISEYIJ6dpmIiIjIhDg7O2PevHl46623IMsytm3bhm3btqFixYqoWbMmHBwckJGRgdjYWGXdHVmWYW1tjdmzZzO5Q0RlQ5aBjz8G/u//VNvatgV27QLc3IwXFxEZjd41eMLCwiBJEnr06FFsckehVatWCAoKgizLOHLkiN5BEhEREZWlDh06YNmyZfDw8FDWFUxOTsaVK1dw9uxZXLlyBY8fP1buc3V1xcKFC9G1a1djh05EliA3F3j7bc3kTpcuwP79TO4QWTC9Z/DExMQAANq3b6/X4zp06IDdu3crH09ERERkyvz9/bFr1y7s2LEDBw4cwNmzZ/HkyRPlfnt7ezz//PMIDAzE4MGDUbFiRSNGS0QWIysLGD4c2LJFta1/f+DXXwF7e+PFRURGp3eCJz09HQBQoUIFvR7n6OgIABoDIyIiIiJTVqFCBbz66qt49dVXAQBZWVl49OgRHB0dmdAhorKXlgYMGACod/kbORJYuRKwKVH/HCIqR/R+F6hcuTLi4+Nx48YNvR538+ZN5eOJiIiIzJGdnR2qVatm7DCIyBI9fgz07g0cO6baNnEiMH8+YKV35Q0iMrT0dGDrVuD6ddHZLjgYcHAw6Cn1fido1qyZsuBgdna2To/JysrC1q1bIUkSmjZtqneQREREROYiMTHR2CEQUXnz4AEQEKCZ3JkxA/jhByZ3iEzRyZNAzZrA2LHid3XsWKBGDbHdgPSewdOjRw8cPHgQ9+7dw2effYbZs2fD2tq60ONzc3Px+eef4969e5AkCd27d3+mgImIiIjKytWrV3Hjxg1kZGQgNzcXsixr7JdlGTk5OcjMzERKSgoiIyMRGhqK06dPGyliIip37t4FunYFrl5VbZs/H5g82WghEVER0tOB7t2BR49U21JSxL/duwOxsQabyaN3gufll1/GihUrcO3aNfz555+IiorCm2++ibZt28JNrWJ7YmIiwsLCsGrVKkRGRkKSJNStWxd9+/Yt1W+AiIiIqLRdv34dH330ESIjI/V6nCzLkCTJQFERkcW5ehXo1g24c0d8bWUl6u2MHm3cuIiocCEhIsmjTU6O2P/66wY5td4JHmtra8ybNw8jRozAo0ePEBkZiQ8++ACAKETo6OiI9PR0pKamKh8jyzJcXFywcOFCWHEKIREREZmwtLQ0jBkzBvfv3y8wY0cbSZI0jvP09DRkeERkKc6cAXr0EMuzAMDWFti0SdTxICLTlJ4OzJsHZGZq35+aCuhZz1gfJcq2+Pj4YOPGjWjSpAlkWVbeUlJS8PDhQ6SkpGhsb9y4MTZv3ox69eqVdvxEREREpeq3335DXFwcAFFUuVevXhg7dix8fHwgSRL8/Pwwbtw4DB06FC1btlTO2JEkCYsXL8aBAweMGT4RlQf//gt07qxK7jg5ATt3MrlDZMpu3wY6dQKKWqZdoQJQt67BQihxL726desiJCQEf//9Nw4ePIgzZ84gPj4eqampcHJyQtWqVdGiRQt0794dnTt3LsWQiYiIiAzn6NGjAAAHBwds3rwZPj4+AAA3NzfMmTMHNjY2mDRpkvL4iIgITJ48GQkJCVi6dCkCAwM5Y5mISm7fPqB/f9ESHQAqVQJ27QLatzdqWERUhIMHgSFDgISEoo+zsTFoorbECR6FgIAABAQElEYsREREREYXFRUFSZLQp08fZXIHAFq2bAkA+O+//5Cbm6tsMtG6dWvMnz8fI0aMQGRkJPbv348ePXoYI3QiMne//y5qcyi6FVerJhI+LVoYNy4i0k6Wgf/7P2DqVCAvT2yzsQHefx/46SdRcyc1VczcsbERv88GbJXOy0tEREREapKTkwEALfJ9oGrQoAEkSUJGRgauXbumsc/X1xdt27YFAOzatatsAiWi8uXnn8UMAEVyx9tbtEVncofINKWkiN/Zjz9WJXeqVwcOHwbmzgViYoAffwS+/FL8GxsL+PoaNKRCZ/DMmTMHADBw4EA0aNDAoEEQERERmQpFwWQXFxeN7U5OTnB3d8fDhw9x7do1NGzYUGO/v78/wsLCcOXKlTKLlYjKifnzxRV/hYYNgf37AS8v48VERIWLigL69QMuXVJta98e+O03oGZN8bWjo8G6ZRWm0Bk8v/zyC9auXYs7ipZ8RERERBagUqVKAICUlJQC+7y9vQEAN2/eLLCvWrVqAID4+HjDBUdE5YssA9OnayZ3XnwR+OcfJneITNWOHUDr1prJnfHjgb//ViV3jOSZl2j5+vrCz88PR44cKY14iIiIiIyqTp06AIDz588X2Oft7Q1ZlhEZGVlg36NHjwAAWVlZBo2PiMqJvDxg0iTgq69U2zp1Ag4dAqpWNV5cRKRdXh4wYwbQty/wdDk37O2BNWuAxYsBOzujhgeUQoLnyZMnSE5ORk5OTmnEQ0RERGRUbdq0gSzL2LZtG65fv66xT7Fs/cSJEwVm+Bw7dgwA4OrqWjaBEpH5yskBRo8GFi1SbevZE9i7F+B7CJHpSUoC+vQR9XQUvL2Bf/8FRo40Xlz5sMgyERERkZoBAwbA1tYW6enpGDRoEL7//ns8fPgQAPDSSy8BAFJTU/Hhhx8iJiYGjx49wrJly3Do0CFIkoQmTZoYM3wiMnUZGcCgQcDataptQ4YA27YBTk5GC4uICnH+vCiOvHu3aluXLsCpU0CrVsaLSwsmeIiIiIjUeHh44N1334Usy0hLS8OKFSsQFRUFAKhfvz46dOgAWZZx5MgRdOnSBe3atcPChQuVj+/fv7+xQiciU5eSArz8skjmKLz1FrBhg0ks7yCifDZtAtq2BdRn9H78sZht5+5uvLgKwQQPERERUT7jxo3Dxx9/DKenV9O91Iqdzp49Gx4eHpBlWeMGAEFBQejVq5dRYiYiE5eYCHTtKmrsKHz8sWifbG1tvLiIqKCcHODDD4HXXgPS0sS2ChWALVtEC3SbQhuSG5VpRkVERERkZG+88QYGDx6Mv//+GzXVumJ4eHhg69atWLBgAf7++28kJSXBy8sLgwYNwkgTWodPRCYkNhbo3h24cEG1bc4cYOpU48VERNrFx4tlk3//rdrWoAGwdSvQtKnx4tIBEzxEREREhXB2dkafPn0KbHdzc8PMmTMxc+ZMI0RFRGbl5k2gWzfVEg9JApYsAcaNM25cRFTQyZPAgAHA3buqbX37ippZZlAAnUu0iIiIiIiIDOHSJaBjR1Vyx9oaWLeOyR0iU7Rqlfh9VSR3JEl0zdq61SySOwBn8BARERHpLSMjAykpKXBzc4OVFa+XEZEWERFAUBCQkCC+trcHfvtNtFomItORmQlMmiTqYSlUqiSKn5tZXT0meIiIiIieSk1NhSRJyuLK+e3ZswcrV65EZGQkZFmGtbU1XnjhBbz22mssrkxEKocPi2UdT56Ir52dgR07gM6djRkVEeUXHQ0MHAgcP67a1qwZEBIC1K9vvLhKqNgET2JiImJiYop9Il2PA6BRqJCIiIjImNLS0rB27Vps2bIFsbGxAETXrKFDh2LEiBGQJAkAsGTJEixevBgAlF2zcnJyEBERgYiICGzfvh0LFy6Evb29cb4RIjINO3eKD4yZmeJrNzfRUtnX17hxEZGmo0eBQYOABw9U2159FVi5UnTMMkOSrBih5NOoUSPlgKZUTyhJuHTpUqk/ryUJDg5GSEiIscMgIiIye9HR0XjnnXdw7do1AKrEjWIM1KlTJyxevBhHjx7FhAkTIEkSChk6QZIk9OrVC/PmzSub4MsxjnXIbG3cCIwcKVosA0DNmsC+fSbfeYfIosgysGgR8MEHqt9Va2vgu++AyZNF7R0zVeyicVmWi7zpepy2xxAREREZiyzLeP/99xEVFaUcozg6OsLNzU359T///IOFCxfip59+AgDY2tpi4sSJ2L9/P86dO4eDBw/i/fffh6OjI2RZxu7duxEZGWnk74yIjGLZMmDYMNUHxrp1gWPHmNwhMiVpacDw4aLmjuJ3tWpVYP9+YMoUs07uAEUs0eIyKiIiIirPdu7cibNnz0KSJDRt2hSfffYZWrZsCUAsPV+8eDE2btyIn3/+GXl5eZAkCYsWLYK/v7/yOTw9PfH222+jVatWGD58OGRZxq5du9C4cWMjfVdEZBTffANMm6b6+vnnxcydGjWMFxMRabpxAwgOBs6eVW3z9QX++APw8jJeXKWo0ATPoUOHyjIOIiIiojK1f/9+AIC7uzvWrl2rUVjZzc0N06dPR2JiIvbu3QtJkuDn56eR3FHXqlUrdOnSBfv378dZ9YEjEZVvsgxMnQp8+61qW5s2wJ49ovYOEZmGvXuB118HkpJU28aMARYvBhwcjBdXKWNfTyIiIrJIly9fhiRJ6N27d6Fds0aMGKG8365duyKfr23btgCA27dvl16QRGS6cnOBd97RTO4EBgIHDjC5Q2QqZBmYPVu0O1ckd2xtRUv0lSvLVXIHYJt0IiIislDx8fEAgLp16xZ6TH21Fqk1illqUaVKFQDAE0VbZCIqv7KygBEjgM2bVdteeQXYtKncfWAkMlvJycCoUcDWraptnp7A778DTy/KlDdM8BAREZFFysjIAABUrFix0GPU9xU2y0fBxsZG43mJqJxKSxOtlXfvVm0bPhz4+WfAhh+viExCZCTQvz9w5Ypq20svAVu2AB4exovLwLhEi4iIiCySorOnra1tocdIat00JDPvrEFEpeDxYyAoSDO5M2ECsGYNkztEpmLrVlELSz25M3myWD5ZjpM7ABM8RERERERExYuPFzV2/vlHte3zz4GFCwErfqwiMrrcXOB//xOdslJSxDZHR2D9emD+fFF7p5xjmpmIiIiIiKgo9+4B3boBly+rts2bB7z/vvFiIiKVhATRJWvfPtW2OnXEbJ4WLYwXVxljgoeIiIiIiKgwUVEiuaPokGdlBfz0k2ixTETGd/q0mLVz65ZqW48ewMaNFtfRjnMJiYiIiIiItDl3DujUSZXcsbUVnbOY3CEyDevXA+3bayZ3/vc/YNcui0vuAJzBQ0RERBZu+vTpmD179jMfx+5ZROVMWBjQqxfw6JH42tFRLPfo0cOoYRERgOxs4MMPRQ0shYoVgbVrgX79jBaWsTHBQ0RERBYtMTGxyP2K7lnFHUdE5cj+/eJDYlqa+NrVFdi5E+jY0ahhERGAuDhg8GDNgueNGokEbKNGxovLBDDBQ0RERBZL0SqdiEgpJAR47TUgK0t8XbWqKNzasqVRwyIiiJl1AwcCMTGqbcHBwJo1YgaPhWOCh4iIiCzSwYMHjR0CEZmaNWtEfZ28PPG1lxdw4ADg42PUsIgsniyL4ubvvSeWZwGi4PnXXwOffAI8nW1r6fRO8CxevLhkJ7KxgZ2dHVxdXVGzZk00bdoULi4uJXouIiIiomfl6elp7BCIyJQsWABMnqz62sdHLNXy9jZaSEQEICMDGD8e+Pln1TY3N+DXX4Hu3Y0XlwkqUYJHKoXsmJWVFQICAjB9+nRUq1btmZ+PiIiIiIhIb7IMzJwpbgotWwJ//QXwcwqRcd25AwwYAEREqLa1bCmWUtapY7SwTFWJ2qTLsqy85f9a11tubi4OHjyIV155BdevXy/Vb4qIiIiIiKhYeXnAlCmayZ0OHYC//2Zyh8jY/v4baNVKM7kzfDjw779M7hRC7xk8x44dw82bNzF+/Hg8efIEjo6O6NOnDzp06ABvb284OTkhPT0d9+7dQ0REBLZt24akpCTY2Nhg4sSJqFSpEhISErB//35cunQJSUlJmDJlCv744w/Y2toa4nskIiIiIiLSlJMDvPWWqLuj0KOHmBng5GS0sIgsniwD338PfPyxqh6WjY3YNmEC6+0UQZL1bB+Rnp6OPn36IDo6Go0bN8aSJUtQo0aNQo9//PgxJk+ejLCwMDRo0AB//PEH7OzsAAALFy7E0qVLIUkS5s+fj6CgoGf7bixEcHAwQkJCjB0GERERkUFwrEMGl5kpOmVt3araNmgQsH498PSzChEZQUqKKHS+ZYtqm4cH8NtvQKdOxovLTOi9ROuXX37BvXv3ULlyZaxatarI5A4AuLq6YsmSJahevTquXbuGDRs2KPdNnDgRjZ72qd+5c6e+oRAREREREeknJQXo00czuTNmjCjYyuQOkfFcuwa0a6eZ3GnXDvjvPyZ3dKR3guevv/6CJEkYNGgQKleurNNjnJycMHDgQMiyjB07dmjsCwoKgizLuHbtmr6hEBERERER6S4pCejWTXTHUvjgA2DFCsDa2nhxEVm6XbuA1q2BCxdU2955Bzh8GKhZ02hhmRu9Ezy3b98GADRs2FCvx9WtWxcAcOvWLY3tihlA8fHx+oZCRERERESkm7g4wN8fOH5ctW3WLOC771jTg8hY8vJEkfPevYHHj8U2e3tg1Spg2TLOqtOT3kWW854WOUpOTtbrcYrj87dYt7ISOabs7Gx9QyEiIiIiIirerVti5o76qoHFi4Hx440WEpHFe/RIdMVSL9fi5SUKnbdubbSwzJneM3i8vLwAiKVa+ti3bx8AoGa+6VWxsbEAoPNyLyIiIiIiIp1FRgIdO6qSO9bWwNq1TO4QGdOFC0CbNprJncBA4NQpJneegd4Jnk6dOkGWZRw/fhy//PKLTo/ZvHkzQkNDIUkSXnrpJY19e/fuhSRJ8PHx0TcUIiIiIiKiwp06Bbz0EhAdLb62swP++EPMGiAi49iyBWjbFoiKUm378EPgr7+AqlWNF1c5oHeCZ9SoUXBycgIAfPPNN/joo48QGRmp9djLly/j008/xRdffAFAFFseMWIEAOD+/fuYPn06Ll26BAAIDAwsSfxEREREREQFHT0KBAQADx+KrytUAPbsAV55xbhxEVmqnBzgo4+AIUOA1FSxrUIFYPNmUQvLRu8KMpSP3v+D1apVw+LFizF27FhkZ2dj586d2LlzJypWrAhPT0/Y29sjPT0dMTExSElJAQDIsgwbGxvMnj0bHh4eAICffvoJv/32GyRJQvXq1REcHFy63xkRERFRCSxevLhEj7OxsYGdnR1cXV1Rs2ZNNG3aFC4uLqUcHRHpZPduYMAAICNDfO3mJpI7bdoYNy5zk54u2slfvw7UqwcEBwMODsaOisxRfDzw6qvAoUOqbfXri5+v5583XlzlTIlSZO3bt8eqVaswc+ZMXL9+HYAoovzkyRPlMbIsK+97eXlh1qxZ8PPzU26Ljo6GLMtwd3fH4sWLYW9vX9LvgYiIiKjULF68uEBTiJKwsrJCQEAApk+fjmrVqpVCZESkk02bxBKsnBzxdY0awL59/BCpr5Mnge7dxf9jaqqYaTF+vPi/9PU1dnRkTiIiRML1zh3Vtt69gXXrgEqVjBZWeVTiOVBt2rTBn3/+iT179uDAgQM4ceIEkpKSlPudnZ3RsmVL9O7dG7169YJdvvZmbdu2RZcuXRAUFISKFSuW/DsgIiIiKmXqF6okSdL4Wle5ubk4ePAgTp06hfXr16NevXqlGSIRafPjj8C4cYDid7ZOHWD/fjH7hHSXni6SO48eqbY9XZ2B7t2B2FjO5CHdrF4tficzM1XbvvgC+PxzwErvijFUjGda5GZtbY3evXujd+/eAESr86SkJDg6OhabtBk1atSznJqIiIjMmQlP+z927Bhu3ryJ8ePH48mTJ3B0dESfPn3QoUMHeHt7w8nJCenp6bh37x4iIiKwbds2JCUlwcbGBhMnTkSlSpWQkJCA/fv349KlS0hKSsKUKVPwxx9/wNbW1tjfHlH5NXcuMHWq6usmTURyJ18XX9LBvHlAcrL2fY8fA4MGAdOmiUK5/JBO2mRlAZMmAcuXq7a5ugLr14vZO2QQklySS1JkVMHBwQgJCTF2GERERCWjbdq/jY3JTPtPT09Hnz59EB0djcaNG2PJkiWoUaNGocc/fvwYkydPRlhYGBo0aIA//vhDOXN54cKFWLp0KSRJwvz58xEUFFRW34ZZ41iH9CLLwKefAt98o9rm6ytq7lSpYry4zNHjx8BnnwG61iLz8AD69gX69RMtrk0kUU9GFhMDDBwIhIWptjVtKi7sNGhgvLgswDOXqc7OzkZERATOnDmDhIQEpKamwsnJCR4eHmjSpAnatGlTYHkWERERWaCcHLEOPzBQzOBRMLFp/7/88gvu3bsHNzc3rFq1CpUrVy7yeFdXVyxZsgS9evXCtWvXsGHDBowePRoAMHHiRBw6dAhXrlzBzp07meAhKm15eaIujPosgc6dgT//BFgGQneyLDoZTZkCxMXp/rj794EVK8StQgWgZ0+R7OnVCyjmvZPKqX/+ETO87t9XbRs8GFi1CnB2Nl5cFuKZEjzr1q3Djz/+iISEhEKPcXFxwTvvvKMc6BAREZGFuH8fOH5c3MLCxMydtLTCj8/JAUJCgNdfL7sYtfjrr78gSRIGDRpUbHJHwcnJCQMHDsTixYuxY8cOjXFPUFAQLl++jGvXrhkqZCLLlJ0NjBoFbNyo2tanj0hUODoaLSyzExUlkmT792tut7FRFapWV6GC+AC/ezfw4IFqe2oq8Pvv4mZjA/j7i2TPK68AXl4G/RbIBMiymPn1/vuqnxsrK+Dbb8W2UmheQMUrUYInJycHU6ZMwYEDBwCgyMKDjx8/xrfffovjx49jyZIlsGFveyIiovInKws4e1aVzDl+HLh5U7/nSE0FbtwwTHx6uH37NgCgYcOGej2ubt26AIBbt25pbFcs74qPj3/24IhISE8XswJ27lRtGzpUFHRlrSvdZGaKukWzZ2sWwK1RA1iwAKhdG+jRo/DltLm5wIkTwLZtYumNehI7Jwc4eFDc3nsPePFFkezp1090M+OH/fIlLQ145x3RFUvB3V0kWwMDjReXBSpRtmX27NnY/zTDK0kSOnXqhA4dOsDLywtOTk5ITU3FrVu3EBoairCwMMiyjKNHj2LevHn45JNPSvUbICIiIiOIjtZM5pw6BWRkFP84NzdRuLOwq8JPkyTGlJeXBwBILqzAaCEUx+dvsW71tABpdnZ2KURHREhOFnVfjhxRbXv3XWDRIhb81dXBg+L/7OpV1TYrK2DCBOCrrwAXF7EtJkYkb27cEO/P6gXxra2B9u3Fbe5cIDIS2L5dJHzCwzXP999/4jZ9unieV14RyZ4OHcTzkPm6eVP8XJw5o9rWujXwxx+At7fRwrJUeid4Ll++jF9//RWSJKF69epYsGABmjdvrvXYN998E2fPnsWUKVMQExODNWvWYODAgWwTSkREZE4yMoDTp1XJnLAw4N694h9nby8GeW3bAu3aiX+rVBFXh9Vb7yrY2IhBopF5eXnh2rVr+Ouvv/Dqq6/q/Lh9+/YBAGrm69gTGxsLADov9yKiIjx8CAQFiaSywqefArNmcVaILuLigA8+0FzWBogZOcuXi5k26hwddVs2K0mia1mTJqK7VnS0qIO0fTtw6JBYTqdw4wYwf764ubuLjkr9+gHdugFOTs/8LVIZ2rcPeO01IDFRtW30aGDpUqPX07NUeqe4t2zZAlmWYWdnh5UrVxaa3FFo0aIFVqxYoSy0/Pvvv5csUiIiIjI8WQZu3wY2bQImTxZJGVdXcYX2gw+A334rPLlTp44Y6C1cKK7eJicDx44B//d/wIABgKenGPDt2wdUqiSKLUqS+LdSJbHdBAaEnTp1gizLOH78OH755RedHrN582aEhoZCkiS89NJLGvv27t0LSZLg4+NjiHCJLEd0NPDSS5rJnW+/Bb7+msmd4uTmAsuWAY0aaSZ3XFyAJUtE4j5/cudZeHoC48YBe/cC8fHAr78CQ4YULHz98CGwZo1I8Li7A/37i68fPiy9WKj0ybLoWtezpyq5Y2srkoSrVpnE33JLpfcMnhMnTkCSJPTt21fnmTj16tVDv379sGXLFpw4cULvIImIiMhA0tJEZyv1Ysi6dFBxchJXfBUzc9q2Fe1ydeHrW/S0fyMbNWoUNm3ahPT0dHzzzTe4cOEC3njjDTRu3LjAsZcvX8batWuxdetWAKLY8ogRIwAA9+/fx5IlS3Dp0iVIkoRA1iEgKrlr18QMD0WNK0kCfvwReOsto4ZlFk6fFvVR8i+bev11YN48oHp1w57f1RV49VVxy8wEDh8Wy7i2bxedExXS08X2bdvEcrFOnVRFmuvUMWyMpLsnT0Rx85AQ1baaNUVx7XbtjBYWCXoneOKeDvpatWql1+NefPFFbNmyBdHR0fqekoiIiEqDLAPXr2smc86eFVd2i9OggSqZ066dKJL5LI0TdJ32bwTVqlXD4sWLMXbsWGRnZ2Pnzp3YuXMnKlasCE9PT9jb2yM9PR0xMTFIedriXZZl2NjYYPbs2fB4muj66aef8NtvvymXtQebwPIzIrN0/jzQvbsq+WxjA6xfL2aEUOGSk0XNm0WLRDt5hQYNxBKarl3LPiZ7e1G4uUcPMXMoIkKV1ImMVB2XlydqLB05Ilq3N2+uSva88AJnbBnL5ctiltXly6ptnToBW7YYPlFIOtF7ZJbztCiirZ7V6RXHZ6pXaCciIiLDefJEtCZXL4asy7T3ihUBPz9VMsfPT9TOsSDt27fHqlWrMHPmTFy/fh2AKKL85MkT5THqXUS9vLwwa9Ys+Pn5KbdFR0dDlmW4u7tj8eLFsLe3L7tvgKi8OH4c6NULSEoSXzs6iuKtPXsaNy5TJsvi/2jSJDFbUsHOTtQr+uQT05gxaWUFtGkjbrNni4LPiiLNYWHi+1A4d07cvvxSFO5VFGnu1Ild08rKtm3AiBFibKEwcaJYhs3XwGToneCpUqUKYmNjceXKFbz88ss6P+7KlSsAADc3N31PSURERMXJyxODY/VkzoULmldtC9OkiWYh5MaN2dUEQJs2bfDnn39iz549OHDgAE6cOIEkxYdMAM7OzmjZsiV69+6NXr16KesNKrRt2xZdunRBUFAQKuavO0FExTtwQHyIT00VX7u4iLbonToZNSyTduMGMH68qH2jrmtXMWunQQPjxKULHx/go4/E7f59YMcOkVQ4cECzjfudO2JW0qJFon6bokhzjx6iphuVrtxcYMYMUetKwcEBWLECGDbMeHGRVpKsfvlJB1OmTMGePXvg7u6OvXv3wlmHX6KUlBQEBQUhISEBPXv2xPfff1/igAkIDg5GiPqaRyIisjyPHol6CopkzokTqivcRalUSTOZ06aN2EY6yc7ORlJSEhwdHZm0MSCOdQhbt4qaLVlZ4mt3d+Cvv0q3EHB5kpkpZlLMmiU6Hyp4eAA//CCWs5nrsqaUFPHab9smEnzaujACYvlX164i2dOnj+514ahwiYnA0KGaCcPnnhP1d154wWhhUeH0nsHTt29f7NmzBwkJCZg4cSIWLlxYZJInJSUFEydOxMOHDyFJEnr16vVMARMREVmc3FxRm0C9Tbl6rYLCWFmJWjnqhZB9fMR2KhFbW1tUq1bN2GEQlW9r1wJvvKGqD1arFrB/v+gARQUdPiw6VqnXRZEk4N13RcLH3JP4zs6iE+OAAaLd+tGjqqVcd++qjsvMBHbtEjdJEn/7+vUTN1OeuWSqzp4V9XZu3lRt695ddGGzsGXb5kTvGTwAMHToUJw6dQqSJKFatWoYOnQo2rVrh9q1a8PR0RHp6em4ffs2wsLCsGHDBjx48AAA0LJlS/z666+l/k1YGl7VIiIq5xISNAshh4drrnkvjLu7ZjLH17dgS1rSW3Z2NiIiInDmzBkkJCQgNTUVTk5O8PDwQJMmTdCmTZsCy7Po2XCsY8EWLRJ1PRQaNBDJndq1jReTqXrwQCxnWrtWc/uLL4p21b6+xomrrMiy6BCm6Mh17lzhxzZurEr2tG7NCx3F2bgRePNN0dlM4dNPRQ0kLuE2aSVK8MTFxWH48OG4e/cuJB2m+smyjJo1a2LTpk286lUKOOghIipHcnJEhxj12jlRUcU/ztoaaNlSlcxp1060GzfXKfgmat26dfjxxx+RkJBQ6DEuLi545513MHr06DKMrHzjWMeCpKeL5VjXron3wt9/V+1r0UIszeFSG015ecDKlcDUqZpLcytWFHVS3n3XMj+E37ghEj3btwP//FN4DbqaNYG+fUWyJyBAFJ8mITtbJA0XLFBtc3YWScT+/Y0XF+msRAkeAEhISMCMGTNw4MCBYo8NDAzErFmzWGC5lHDQQ0Rkxu7f10zmnDwJpKUV/7jq1TXblLdqBTg5GT5eC5WTk4MpU6YoxznFDZckScJLL72EJUuWwOZZ2scTAI51LMbJk2LJR06OqLOirl07sdSmcmXjxGaqzp4Vy7HCwjS3Dx4MzJ8vkhckOkbu3Clm9+zbpzkTRZ2Li+jI1q+f+NfVtSyjNC3374ufo6NHVdsaNhQJ2MaNjRcX6aXECR6FK1eu4NChQzhz5gzi4+OV05arVq2KFi1aoFu3bvDx8SmteAkc9BARmY2sLDEYVyRzjh/XXMteGFtbMcVevRiytzdn55ShL7/8Ehs3bgQgkjcdO3ZEhw4d4OXlBScnJ6SmpuLWrVsIDQ1FWFgYZFmGJEkYNWoUPvnkEyNHb/441rEA6ekiGaGtYK6NDRAXxzof6lJSgC++EAWTFbWJADFzc8kSICjIWJGZvrQ0scxv2zbRmauwGZm2tkBgoGjB3rcv4OlZpmEa1YkTosZRdLRqW79+wC+/iCQYmY1nTvBQ2eOgh4jIREVHayZzTp3S7GZSGC8vzWTOCy+IFqRkFJcvX0b/p1PRq1evjgULFqB58+aFHn/27FlMmTIFMTExkCQJO3fuRL169coq3HKJYx0LsGIF8N57mu2vFZydgR9/BF5/vezjMjWyLBITEycC9+6pttvaiiVa06YBjo5GC8/s5OQAoaHi/3TbtqIvurRpI5Icr7wiZrCU14ssP/0kfhcVHeskSRTnnjqVtYrMEOcQExERlURGhijuqN7ZSn3wXRgHB7G8Sr0YsiVdJTQDW7ZsgSzLsLe3x8qVK4tN1rRo0QIrVqxA//79kZ2djd9//52zeIgKExUFLFwoEjjZ2dqPSU0V9VQs3a1b4oP3zp2a2wMCgKVL2VWsJGxsgJdeErd584ALF1TJnv/+0zw2PFzcPv1UFPtWJHvati0fNY4yMsTP18qVqm2VKwO//gr06GG8uOiZMMFDRERUHFkG7tzRTOacPl34hxN1depo1s5p3pwFHU3ciRMnIEkS+vbtq/NMnHr16qFfv37YsmULTpw4YeAIicyMLAOHDonlRbt2ia+LUqGCWHpkqbKyRD2dmTM1a8dUrQp8/z0wdGj5nU1SliQJaNZM3D7/XPyd//NPkew5fFhzKVxUFPDdd+JWrZqqSHOXLuY54/buXbEk6+RJ1bYWLYCQEMv+3SsHCk3wdOnSxSAnlCRJp8LMRERERpOWBkREaBZDjosr/nFOTmJKtyKZ4+fH7i9mKO7pa92qVSu9Hvfiiy9iy5YtiFavYUBkydLTRbvlH34QMyXys7LS3unIxgYIDjZ4eCbpn3+Ad94BLl1SbZMkYOxYYPZsFp02JG9vYMIEcUtKEsnI7duBPXvErDKFBw/ErJeVK0UyMihIJHteftk8Xp/Dh0Ux5fh41bahQ8VSLTZvMHuFJniio6N1aoGuD0UBQiIiIoNTtN69fh2oV098WNB2lU2WxTHqyZyzZzWv3BXGx0ezTfnzz4sPJmTWcnJyAAC2trZ6PU5xfKa2miJEliQmRiwh+vFH0c0ov969gcmTRVvvHj1EXZTUVPFh2cZGdD0yx1kRz+LhQ+Djj4HVqzW3t2gBLF8u/s5Q2alcGRg2TNwyMoCDB1Ut2B88UB2Xmgr88Ye4WVsD/v6qpVze3kYLXytZFjPDPv5YNcaxthazwt57j7PCyokiR6Gsv0xERGZJvfWu4kPD+PHiQ0OjRmK/ejFkbR9A8qtYUczIUZ+dww4v5VKVKlUQGxuLK1eu4OWXX9b5cVeuXAEAuLm5GSo0ItMWESFm62zeLN5/1VWoAIweLT5IqnfYjYkRyfgbN8TSkMKS8eVVXh6wZg3w0UdAYqJqe4UKwFdfif8vXjgwLgcHMTvn5ZeBZctExylF3Z6oKNVxubliKeKhQ6Io9gsviGRPv35iGZgxEyipqcCbbwKbNqm2VasG/PabqEdE5Uah7xaXL18uyziIiIhKR3q6SO6ot95NSRH/tmsnBtO6XMBo0kSzs1XjxuWjqCIVq0WLFoiJiUFISAjefvttODs7F/uYlJQUhISEQJIktGzZ0vBBEpmKnBzxQfeHH4B//y24v3ZtkaQYMwaoVKngfkdHy+2WdeECMG4ccOyY5vbgYPH/6eVllLCoCNbWQPv24jZ3LnD5sirZEx6ueezp0+I2Ywbw3HOqZE+HDmWbtLt+HejfHzh/XrXNz0/MOmKTh3KH6WAiIipftm4tvPhxYcuuKlXSTOa0aaP9gwhZhL59+2LPnj1ISEjAxIkTsXDhwiKTPCkpKZg4cSIePnwISZLQq1evMoyWyEiSkoBVq4BFi0Rx2vw6dQImTRJLVTgDRVNqKvDll2JpjPpMp+eeAxYvFjNFyPRJkrj407ixaFcfE6Mq0nzokOZY5NYtkbT74Qcx+7d3b5Hs6d7dsHVvdu8W9XXUL3qNHQssWADY2xvuvGQ0ksx1WGYnODgYISEhxg6DiMj0nDkjrhLnb3WqTtE1Q72zVYMGotgn0VNDhw7FqVOnIEkSqlWrhqFDh6Jdu3aoXbs2HB0dkZ6ejtu3byMsLAwbNmzAg6c1GVq2bIlff/3VyNGbP451TNjVq6LN+Zo1moVnAcDWFnj1VZHY0bNIucXYsUMU8VVPitnYiCVan33GIrflxePHwN69ItmzezeQnKz9OEdHoFs3kezp3Vt0SisNeXnA11+L2UOKj/t2dqI21pgxpXMOMklM8JghDnosiK5FYoksWXa2GEAtWiS6jxTF0VEcx8ENFSMuLg7Dhw/H3bt3dWoQIcsyatasiU2bNqFatWplEGH5xrGOiZFl4MABMftg9+6C+93dxVKjceOAGjXKPDyzcOeOSHxt26a5vVMnUdelaVOjhEVlICtLdK7atk0UaY6J0X6clRXQsaOY9davX8nblT9+DIwYIWYTKdSqJVqg+/qW7DnJbDDBY4Y46LEQ2orEKjpL8M2ZSLT3XLFCXI3StS11pUpAbCwTpaSThIQEzJgxAwcOHCj22MDAQMyaNYsFlksJxzomIj0dWL9eLOe4eLHg/mbNRDes11/n+2phsrPF/9+MGUBammq7uzvw3XfAyJHsXmRJ8vJEMfLt20XC59Klwo9t1kyV7HnxRd1+Ti5eFPV21Is/d+4sCp/z4oNFYILHDHHQYwHS04GaNTXXyyrwAypZulOnxCycTZuA/O2obWyAgQOBrl2BDz9kgpRKxZUrV3Do0CGcOXMG8fHxSE1NhZOTE6pWrYoWLVqgW7du8FHvCkTPjGMdI4uOVrU5T0jQ3CdJqjbnAQFMThQlNBR45x3N4raA6Gb0zTfsxEgiEaNI9oSGFt4EwstLJHteeUW0Yre1FdvVZ/s/fAisXKmZSPzgA/GzxjpYFoMJHjPEQU85lJcH3L0r3uSjosT67H37tBeEdXYWAy5L7ThBlik7W3R7WLhQtDfPr1o1UTTwnXdEchRQDXostfUukRnjWMdIwsPFbJMtWwq2OXd2Bt54Q3TEql/fOPGZi8REYOpUMctU3fPPA8uXiy5KRPndvy8+A2zfDuzfX/AilkKlSqIQ9/PPi+RNbq6qW6iCk5Mogv7qqwYPm0wLU3lEZSUvT1wRUyRx1G83bhT+Jp5fSopI8Pj6isKwROXZ/fvi5335cjFzLb82bcSHjUGDCnaDsOTWu0REusrJEcnwH34QMwjye+45YOJEkdxxdS3r6MyLLANr14oZpA8fqrY7OQFffCFmPSlmXhDl5+EhZne9+aYY7//1l5jZs2uX6Fqn8OgRsGFD4c9jZQUcOQK0bm3oiMkEMcFDVJpkWXwI1ZbEuX5dzCgoDUePAj4+ohDb6NHiw23FiqXz3ESmIDxcLMPavLlgy3NbW2DwYJHY8fMzTnxEROYuKUnMMFm8WMwizu+ll0RCom9fwNq6zMMzO5GRosj0kSOa2195Rcw+9fY2TlxknpydgQEDxC07WzSRUBRpVu/Apo2Tk+h2xwSPRWKCh0hfsixmFSgSN9euad7P3zJUV9WqiRk5DRqIq2XffVf8cx07Jm4TJ4q6I6NHiwEZ18OTOcrMBH77TSR2wsML7q9RQyzBevttoHr1so+Pyp0uXboY5HklSdKpMDORUVy+LBIOv/yiWasDEAn0114T3Z5efNE48ZmbtDTRjvq77zQvSHh5ib9nr7xivNiofLC1BQIDxW3BAuDMGeD990VnLm1SU8XqADI+I3REZoKHSBtZFlNrtc3EuXYNePKkZM9bpYoqiaN+q1+/4LTnXr20d9H69FOR1Nm1S1WjJzVVDNR++UXUGhk1SnRl4NUiMgcxMWIZ1o8/iuRpfu3aidk6AwYAdnZlHx+VW9HR0Tq1QNeHLMul/pxEz0yWRU2PH34A9uwpuL9qVVWbcybQdbd7NzBhAnDzpmqbtbX48D19upiFQVSaJAl44QXgrbdEN678tXcA8ZmhpC3WqfRo64g8frzBG36wyLIZYuHBUpSYqD2JExUFPH5csuesVEl7EqdBA6ByZf2eq6gisffvi9alq1drb10qSUCXLmJWT//+oh4JkamQZVEsedEi4PffCxbztLMTV5Hfew9o1co4MVK516hRI4M8ryRJiIyMNMhzWwqOdUpJWpqqzbm2dszNm4tlWK+9xiL0+rh3T/y//fGH5vYOHYBly0R7ayJDysgQM5vZcde0ZGSIC5fXr4v29vlnSQIGf32Y4DFDHPTo6dGjwmfiJCaW7DldXApP4ri5le0SKVkWGfzVq4Fff9X+Ru/qKqrojxolapbw6jIZS0aGqKuzaJFod56fp6e4gvzWW2LZIhFZJI51ntG9e6o25/nHOpIk6upMnizaLXNMoLucHFGz6PPPNWdOuLkB334rLqpZWRkvPrIs2maI2NgYfIaIRZJlIDlZvLdGRxf+r3px9cIYuCMyl2hR+fDkSeEzcXT5RdOmQoXCkzhVq5rOgEiSxJu4ry/w/fei+Nrq1eLNXZG/ffxYtQSmcWOR6Bk+XGT+icrCvXviquZPP2n/nezUSczW6dePHUaIiErqxAmxDEvbzEhnZ2DMGPFeW6+eUcIzaydOiDpwZ85obh81SiR3qlY1RlRkyXx9xWyRwmb7k27y8oAHD4pO3Ny7V/I6q/kZuEYSEzxkPlJTNQsaq9+01e3QhZOTqH+jXgtHcb96ddNJ4ujKwQEYMkTc7t0TrTpXrxb/bwqRkcAnn4haPkFB4mpTnz6sbUKlT5ZFvahFi4CQEFXNKAUHB3H14r33gJYtjRIiEZHZy84W77E//AAcP15wf506ohnD6NFsc14SSUlizPTjj6oLZ4C4YLZsmZgFRWQsjo4GmwlSLmRmiiRYdHThiZuYmIIJ8ZKythYX0O3tgVu3Co59AYPXSGKCh0xLenrhSZzY2JI9p729ZuJG/VazpvklcXRVq5YYkEybBvz7r0j0bNmimlKcmysKNe/aJYo/Dx0qBn/8oE3PKj0d2LhRJHbOni2438tLFJl7803xs0dERPpLTFS1Ob93r+B+f3+xDKtPH7Y5LwlZFn/L3n9fXN1XcHQUBZTff58Xx4iMKTm5+Fk38fGldz5HR/H5ytNT9a/6/Vq1AA8P8X5bVI0kGxsx08pAmOChspeRIaalaUviaBug6MLOTmRCtSVxatWy7PXQkgR07ChuCxaIgoCrVwNHjqiOSUgQLVMXLhQJntGjxdUAd3ejhU1m6M4dUfNhxQrt9a06dxazdfr2FX/ciIhIf5GRqjbn6ema+xQF6idNEp12qGSuXAHefRc4dEhze69eIqFWp45x4iKyBHl5Yjl/cfVuStrVWBs3t4LJmvz/Vqqk+8QABwdRLqOwGkkGXEbHIstmyCwKD2ZliSSOttk4d+5oTnHVlY1NwSSOYmaOtzevTunr+nVVa/U7dwrut7UVH8RHjwZ69OAHctJOlkWycOFCUf8pL09zv6OjqPc0YQK7ihCRzsxirFOWZFl8KPjhB2Dv3oL7q1UTBerfeYdtzp9FejowZw4wd64Yyyp4eoq/c/37l9+Z30RlIStLrMooKnETHS2WnpYGKysxk0bbbBvFvzVrirIdhlBUR2QDYYLHDJXqoEfxQ3f9uii4p88PXXa2WFuobSbO7dsFP+jpwtoaeO457TNxatdmksEQ8vLEFarVq8Ua/oyMgsfUqCE+pI8eDRiorTCZmdRUYMMGsQzrwoWC+597TizDeuMNcVWEiEgPTPA8lZYGrFsnZuBGRhbc36IFMGWK6JRpb1/28ZUnf/0l/m5dv67aZm0tZkN98QVQsaLRQiMyCykpmkkabQmcBw9KdqFfGweH4mfdeHhY3OdHJnjMUKkNenRprZeTI2Z3aEvi3LpVsoJUVlZixo22JE6dOuygY0yPHokW1qtXi24R2rRtKxI9Q4awWKMlunkTWLIEWLVK+7riLl1EMc+XX+asOiIqMYtP8Ny9K95rf/pJFPlVJ0nAK6+I+jovvcQZJc8qJkbU09m8WXO7nx+wfDlrExLJslgyVVy9m+Tk0jtnpUpFJ248PcUFRL7/FcAEjxkqlUFPerqYjqbtA5q9PRAYKKaS3bhRsilykiQKqeZP4NSvL6an8SqT6bt0CVizRlw5jIsruN/RUcz4Gj0aCAiw7DpH5Z0sAwcPitk6O3YUvPJSoQIwYoRYhtWkiXFiJKJyxWITPMePq9qc5+++UrGiqs25ATuwWIzcXFE37n//06zlUakS8M03wFtvcWxDpu9ZVmMA4nNeXFzRiZuYGNGNqjRIklhGWlSxYk9PMbakEmGCxwyVyqBn40Zg7FhVR6WS8vTUPhOnbl2RACDzl5Mj1vuvXi0+3GtL+NWuDYwcCYwaxcKD5UlKikjwLVqkfWlAvXpiOvvo0WJATERUSiwqwZOdLRog/PCD9tmzdeuq2py7uJR5eOVSRISoV3TqlOb24cOB774TyzqITF1xqzFSU4teLhUdLZI7pZUOsLMrftZN9epcrWFglrUgjVSuXxe/9LqoUUOzoLH6bBxDFaQi02FjA/TuLW4PH4q6K6tXa7a/vn0b+PJLcevcWSR6Bg5k9t1cXbsmlgasXg08flxwf48e4gpyz568uklEVFIJCao259HRBfcHBIj6L717c8lraXn8GPjsM/E3Tv1DbcOGYjZPYKDxYiPSR3o60K2b5jhNceG+bVsx40/bGK6kXF0LT9oo7lepwiVTJoAJHktVr5748K1tBo+dnbiqMXq0SOI4O5d9fGSa3N3FYHPSJOD0aZEA2LBBsyX24cPiNmECMHiw+Dnq0IFv+KYuLw/Yv190Cdmzp+DVHGdnkbibMEEMhImIqGQuXRLvtWvXam9zPnSo+DvbooVx4iuPZFnU2JkyRXPZuYODWKL10UcsH0CmSZZFTa7ISHG7fFn8e/p04W3C8/J0T+5IkpixVtSsG09Pfh40I1yiZYZKZdpyRoaYmaOtBk+lSqJ9nYFbuFE5kZkplm6tXi2WcmnrntaggUgOjBgh/liQ6UhOBn75RVxBvnq14H4fH5HUGTmSSwOIqMyUuyVaeXmiS9OCBeLf/Dw8gHffFcvnuTyodEVFieXE+/drbu/RQ8zkqVfPOHERqcvOFjOo1ZM4ivu6rrrIz85OlaApLIFTowaXTJUznMFjqRwcxPrMwtZtMrlDurK3F8uxBg4URdjWrRPJnitXVMdERYkrZJ9/LqaTjh4tOoDw58x4rl4VSZ01a7RfAerVSyzD6t6dy7CIiEoqNVXM1FmwQPPvokLLlmJWyZAhnEFS2jIzgblzgdmzNQvE1qghXo+BAzm7mMpeSopI2qgncSIjRXKnJN2JtXFyAubNA95+m2M4C8QZPGaoVK9qKSqv37ghivjpW3mdSBtZFoUiV68GNm3S3jaxcmXgtddEsqdVKw6yykJenlh+tWiR9ivILi7AG2+IK53165d9fERET5n9DJ47d1RtzvPPlpYkoF8/0ea8Uyf+/TOEgwfFjCj1malWVmJG6ldfcUYqGZYsA/HxBZM4kZFiuZW+qlQBGjcWt0aNxL9164paO1yNQfkwwWOGzH7QQ5YlLU0kEVevFgMubZ5/XiR6hg0DqlUr2/gswePH4v9/yRJxhSi/xo3FoHfECK6xJiKTYJZjHVlWtTn/4w/tbc7ffFO837LNuWHExQEffCC6xapr3Rr48UfgxReNExeVT3l5otGItkSOen1KXXl7ayZxFLeqVbUfX1wXLbJIFp3guXjxItatW4fw8HDEx8fDyckJtWrVQo8ePfDqq6/CpRSy+7m5udi+fTu2b9+Oy5cvIzU1FVWqVEGTJk0wYMAAdO3aVe/nNMtBDxEg/gj+8otYFnTzZsH9NjbAyy+LZE+vXlwT/KwuXRLLsNauLbh+W5KAPn3EMqwuXXgFmYhMilmNdbKzgd9/F4md8PCC++vVE23OR43izBFDyc0Vs6WmTdMsLuviAsyZI2obsRMZlVRmpqo+jvrtypWChdKLY2MjalPmT+I0bFiyi2xcjUH5WGyCZ/ny5ViwYAHytBWEBVCjRg0sXLgQzZs3L/E5kpKSMG7cOJw+fbrQY7p164b/+7//g4Mev4hmNegh0iYvDzh6VMwq+f13Mcsnv2rVxIye0aPFDB/STW4usGuXWIZ14EDB/ZUqAWPGiKnrvIJMRCbKLMY6Dx+KpMKSJaIGXX6BgWIZVq9eTC4Y0unTovtr/uTaa6+JOiQ1ahgnLjI/ycnaZ+PcuFFwRl5xKlQomMRp3FgkfHkBkwzIIhM8GzZswJdffgkAcHR0xJAhQ9CsWTMkJydj165diIiIAAC4ubnh999/h6enp97nyM7OxvDhw5XJnfr162PgwIGoVq0arl+/ji1btiA+Ph4A0LNnT/zwww86P7dZDHqIdPXkCbBli0j2/Puv9mNatxaJntdeE7V7qKCkJODnn8UHDW2zo5o2FVeQhw4Vgw4isgicrWwAFy+KIr3r1omupOrs7VVtzp/hIiHpIDkZmD5dXNBQv2Bbvz6wdKlo6kCUnywD9+8XTOJERmpP1BanatWCSZzGjUWHKs6OJsUMq+vXRXKvDGZYWVyCJzY2FkFBQcjIyICrqyvWr18PHx8f5X5ZljF//nz8+OOPAIDu3btj0aJFep/n559/xty5cwEAAQEBWLhwIezs7JT7ExMTMWrUKFx52lFh2bJlCAwM1Om5TXrQQ/Qsrl4Vy7fWrgWiowvut7cXhSlHjwa6duUVUQC4cEEMbtevLzgTyspKdCt77z2gc2cONIgsDGcrl6K8PGDvXrEMK3+7bQCoXl3V5py15AxLlkWNo0mTND+Q29kBn34KfPIJl6iQmHFz61bBJM7ly9oLExdFkoDatQsmcRo1EgWQibQxUo0ki0vwzJkzB2vWrAEATJ8+HUOHDtV63NChQ5UzeXbu3IkGDRrofI7s7Gx07twZDx8+hJOTEw4cOIAqWn75b968iZdffhm5ublo1qwZfv/9d52e3+QGPUSlLTdXDKBXrwa2bQOysgoe4+kpigKPHi3WMluSnBxgxw6R2Pn774L73dyAt94Cxo0TAxIisjicrVxKUlJUbc7VOzIpvPCCaHM+eDDbnJeFGzdEp8e9ezW3d+0qZrCqXbQlC5GRIX438ydxrlwRtXP0YWsrfobyJ3J8fETrcaLi5OaKOmBxcaLL2ZMnBY8xcJczG4M8q4mSZRm7du0CADg4OGDgwIGFHjtq1CiNBM+UKVN0Pk9oaCgePnwIAAgKCtKa3AGAOnXqwN/fH4cOHcL58+dx+/Zt1OaHMSIxMycoSNwSE4FffxXJnlOnVMdER4vCiXPmAB06iETP4MGiS0l5lZAArFwppp7fuVNwf4sWYrbO668Djo5lHx8RmYTY2Fh8++23AKB1tvJrr72mnK2cmJiIb775pkSzldetW6dM7mibrTxs2DDlbOU9e/agb9++Os9WNro7d0SR+hUrCl7tt7JStTnv2JGzI8tCZibwf/8HzJqluSzOwwOYPx949VW+DuXdo0faZ+PcvKm5RE8XFStqn41Tt66YYUGWKzdXLP989EjckpJU93W5aUvo5JeTA4SEiPG6AVjUT/C1a9eUV5Jat24N+yKutPj5+cHKygp5eXk4cuSIXgme48ePK+937NixyGPbt2+PQ4cOAQAOHz6MkSNH6nweIovg5iau1o0fD5w/LxI969cDT3+XAYjaPf/+K2rMDBwokj0vvSQG4eXB2bNits6GDQXrPVhbA/37i++dHzSICMCaNWuQ8fS9YtKkSRrJHQCQJAnvv/8+Tp06hYiICOzbtw9RUVF6z1ZetWoVAMDJyQlff/21RnIHELODFixYoJytvHTpUtNO8MgyEBoqlmFt3VqwqKqLi5gdOWEC8NxzxojQMh0+LGakXr6s2iZJYkncrFniajiVD7Islt3lT+JERooZEfqqXl17IqdmTY6Xyqv8CRp9b8nJho8xNVXMRjQQi0rwKOrdAEDDhg2LPNbFxQUeHh6IjY1FVFQUcnJyYKNjRveq2hTe4s5Tv3595f3IyEidnp/IYjVrBnz/PTB3rugUtWaN+DcnR+xPSxNT6deuBerUES1pR440z2VKOTniA8aiRcA//xTc7+4OvP226Bzi5VX28RGRSeJs5RLIygJ++00kdp7+f2ioX1/Uexk5snzPEjU1Dx4AH34oilmre+EF4McfDVrDggwsJ0d8wM2fxLl8Wf8P2FZWYsyXP4nTuDGTf+YoL6/kCZqkpLJJ0BTH1VUs90tM1D67rEIFg3aytagET7Ra0dZatWoVe3zNmjURGxuLnJwcxMXF6fQYALh3757yfnFr2tX3R2srKktEBdnaiunx/fqJTggbNoiZPRcuqI65eROYMQP44gvRqnb0aFG53tSXLsXHiyUBy5YBau8lSi++KGbrDBnCIpJEVABnK+vh4UORKFiyRNRDyK9LF1Wb8/IyI9Qc5OWJ5chTp4oPbAoVK4oZO+++y2U05iItTdTCUU/iREYCUVHa6ysWxd4eaNiwYBLHx4fjIVOSlyeWKRWVhCluBo2xSwS7uorkYEluFSuK2fUZGUCNGtoLetvYiM8kBmJR744JCQnK+5V1aLXs6uqqvP/o0SOdEzyJiYkARFFDx2I+TOY/BxHpycMDeP99UeTy1CmR6Nm4UfWGKsvAwYPi5uIi1umPHg34+ZnW9NxTp8RsnU2bChYFtLERS8/eew9o18604iYik8LZylrkb1PbsCGwfLlY7qutzfmwYWLGTrNmZR+rJVJ/fWxsgO3bgRMnNI8ZNEjU2ilBMXB6Rrq0eU5IKJjEiYwEbt/W/8N6pUoFkziNG4tlkeyeWlBpt+HOyxPF5UtSf+bRI1Fg2NgJGheXkidoXFxK5+fMwUF0y+rWTfydycwUf18U2w2YlLSoBE+G2h9xXVp1ql/1Sk9P1/k8imOLumqm7Rxp+VsclyFFZzF1TZs2ha+vL7Kzs7Fhw4YC+1u2bImWLVsiLS0NW7ZsKbC/devWeP755/H48WNs3bq1wP527dqhYcOGePjwIXbu3Flg/0svvYS6desiLi4Oe/N3SwDQpUsXeHl54e7duzh48GCB/UFBQahevTpu3LiBo0ePFtjfu3dvuLu748qVKwgLCyuwv3///nB1dcWFCxeUU9jVDR48GE5OTjhz5gzOnDlTYP/QoUNha2uLkydP4uLFiwX2jxo1CoCY5n41X2cOW1tbZYe3I0eO4ObNmxr7nZycMHjwYADAgQMHNGaNAWLQHvw0M7x3717E5Vu3XKVKFfTp0wcAsGPHDo3kJwBUr14dQUFBAICQkBAk55vuWKtWLXTt2hUAsGXLlgI/u4op+YDo5JKdna2x38fHB+3btwdggJ89X1/4vvEGml67huwVK2Bz6BAkxR+a5GTgp5/ErXFjpA4ahJ2VKyM93xTeMvvZu3ABcUuWoNGBA/C4dq3AcTlubrjQsSOudO6M9MqVRZeIq1f5s2eqP3vg+15JfvYU26h0cLZyPuptalNSxMA9f20dQFxpVbQ5r1q1bGO0ZPlfn/zq1hUzrJ7+XaAylr/Ns5OT+B15+23xtSKRo14XUVeengWTOI0biwt3vJClG21tuMePFwV869Ur2TKnx4/1L1pd2ipW1Ey6VK5c9gma0iJJqp9n9fsGZFEJHvWBvq2tbbHHqxcLzFHU+NCB4lh9z5GrbcDx1ObNm7F582YAQJL6dFUiKkC2tweGDEFaUBD+WrUK9UJD0eCff+Dy4IHqoMhIVPjySwyyskJ0s2a41rEj7rZsibwymPYtPXgALFuGeosWoaGWQVFOq1awmTwZV5o0wZlz5wweDxGVH5ytrCY9XXz4UT9n/rFWq1ZiBuigQUC+ItFkYNpeH3VTpwLTp5v+0uryStvrk5oq/v3+e92ew9paJBryJ3EaNRIfxKnktL0+iiSpsYvZ50/Q6DuDpjwswdT2+mRkiFv37gZtky7JsrHnUJWdL7/8UnlFdvny5QgICCjy+MmTJ2PPnj0AxJXg1q1b63SeF154AWlpaahUqRJO5J9imk9GRgZatGgBAPD29sb+/fuLff7g4GCEhIToFAsRPSXLotPW6tXAli3arxRWqQIMHSqWcLVsWfoxhIeLZVhbthRce25rK9q8v/eeWD5GRFQC06dPV14Q0ness379evjqWLj2+eefR3Z2tt5jnVq1ammdfZZfqYx1Nm4Usw20vN/nWVnhXJ8+yP70U/i2acNZe0aYrdzg5El0WLtW6+uTbWeHU2PHou3ChQA4Y9QYP3t9njxBlU8/1T5eyifHzg6Pq1fH4xo18KhmTTyuUQMtX3sNlX19ceXWLZP72SsXs5Wjowt9f3tWuU5OsHZzQ56LC+Kzs5Hl5KRxq9awIWo0boxUW1v8c/68xr5sR0e07diR73sbNyLnzTdho20VkLOzqP/GNunPzsnJSXk/M3+NCy3Ujynu6lT+86SlpSFLh+Jh6ufQZdkYEZWQJIk24h07AgsWAH/8IZI9R46ojklIABYuFLeWLUWi5/XXRceqklJ0Z1m4UCR48qtRQ3TCevtt0c6TiOgZcLaymuvXVTMO8pFkGXlWVlwKYkTO9+8X+vrYZGejwv37ZRwRqbO5fbvQ10cGkBkQAIePPsKdChVw6Nq1AoXImzVqJGqOkGEU8f4mA5BcXABvb9zPzCyQoKlcty68mzVDjrMzDp46pbnf0REtWrVCy5YtkZGWhj2FJBdrPP88ch4/RlwR7+kW7fp1WOev8aZg4DbpkC3Ijz/+KPv4+Mg+Pj7yr7/+Wuzxr732mvL42NhYnc8TFBQk+/j4yA0bNpQzMjKKPPb27dvKc4wcOVKn5+/fv7/OsRBRMa5dk+XPP5dlb29ZFvN8NG+2trIcHCzLO3bIcna27s8bEyPL06fLsoeH9udt106WN26U5cxMw31vRGRxZs6cqRxXHDp0qNjjJ02apDz+5MmTOp+nZcuWso+Pj9ymTZtij01PT1eeo2vXrjo9f6mMdTZskGVnZ+3vwc7OYj8ZD18f08bXx7Tx9TFtRnx9LKrnY121fvOx2tph5hMTEwNAXHmqqkfBPcV5ZFku9jzqxQaLK1JIRAZQrx7w5Zeirfr+/WLGjvpsuuxsUayuTx/Aywv4+GNRUBAQ62s3bgS++kr8m54OhIWJ5/D2Fs+rfgXSzg4YORKIiABCQ4HXXmPNByIqVWU5WxmAac9WDg4uvJaDgdvUkg74+pg2vj6mja+PaTPi62NRCR4fHx/lffU2oto8fvwY959+MGvQoAGs9ajG3aBBA+X9/Gs+81Pf36hRI53PQUSlzMoK6NoV2LBBFD5bvrxgLZy4OOC774AmTYDnnxdLt95+G5gxA3jjDVFUrn174NdfRUcDBU9PYNYs4O5dYM0aUdSTiMgAXNQKl+pS0Pjx48fK+1WqVNH7POnp6cUmkkp6jmemaEdbqZKoeSBJ4t9KlQzeppZ0wNfHtPH1MW18fUybEV8fi6rB4+3tDU9PT0RHR+PUqVPIzs4udO348ePHkfe0RZyfngVP27Zti2XLlgEAwsLC0L1790KPVS/8pO95iMhAKlUShevGjhWzddasAdauFQkehfxF1bR9wOnUSRRN7tdPFFEmIjKwspytfOPGDeVs5eeee67QY406W9nXF4iJAbZuFTUP6tYVV0754cc08PUxbXx9TBtfH9NmpNfHohI8ANCzZ0+sXLkSycnJCAkJwZAhQ7Qep17tvnfv3nqdo02bNqhatSri4+Oxfft2vPfee3Bzcytw3PXr15WVv318fDRmGBGRiWjcGJg7F/j6a+Cvv0Rh5m3bCrbaVefvD/zwg2E6cRERFaEsZysfOHAAgJiNXFSCx+izlR0dDdathEoBXx/TxtfHtPH1MW1GeH0saokWAAwbNky5bnzu3Lk4d+5cgWPmzZuH//77DwDQsWNHNG3aVK9zWFlZYcyYMQCA1NRUTJkypUB7u8TEREyePFnZTWLs2LF6fy9EVIZsbICXXwZ+/x346KPCj5MksdSLyR0iMgLFbGUAytnKhXnW2coK2trQquNsZSIiorJhcQmeGjVqYNKkSQBE8uX111/HF198gR07dmDTpk0YNmwYfvrpJwBAxYoVMWPGjALPERISgoYNG6Jhw4YIDAzUep7hw4crE0PHjx9H37598dNPP2H37t1YvHgx+vbtq7yiFRAQgJdfftkQ3y4RGUKzZmIdrTYVKogpmERERtKzZ08AUM5WLkxpzFYGgO3btyMxMVHrcZytTEREVHYsLsEDAKNGjcL48eNhZWWF7Oxs/Prrr/jwww8xY8YMnDx5EgDg7u6OVatWwdvbu0TnsLGxwcqVK9G8eXMAwN27dzFv3jxMmTIFixYtQnx8PADA398f33//PSRJKp1vjogMj50LiMiEcbYyERGRZZJkWZaNHYSxXLhwARs2bEB4eDji4+NhbW2N2rVrIzAwECNGjEClSpW0Pi4kJATTpk0DIIoFHjp0qNBz5ObmYuvWrdi1axcuX76M5ORkVKxYEc8//zyCg4PRq1cvveP28/Mr9SKFSUlJqFy5cqk+J5Uevj4mKC0NuHoVkGUgL0904ZIkwMcHUGtTTMbH3x/TZojXp3Llyli1alWpPqe5WbNmDebMmQMAsLW1xcCBA9GqVSukpqZi586dygtaFStWREhISIELWrqMdXJycjB48GBcfFp03svLC4MHD0atWrVw48YNbNq0SXlBKyAgAMuWLdP5ghbHOpaHr49p4+tj2vj6mLayHOtYdIKHVIKDg4ucxk3GxdfHtPH1MW18fUwbXx/DWbhwIZYtW6ass5Ofu7s7li5dihYtWhTYp+vFrMTERIwdO1brLCEFf39//PDDD8pZRcbCnzXTxtfHtPH1MW18fUxbWb4+FtdFi4iIiMgSTJw4EYGBgSWarawrNzc3bNq0qdRnKxMREZH+mOAhIiIiKqeef/555VItfQQHByNYx3pi1tbWGDhwIAYOHKj3eYiIiKj0WGSRZSpoyJAhxg6BisDXx7Tx9TFtfH1MG18fKiv8WTNtfH1MG18f08bXx7SV5evDGjxERERERERERGaOM3iIiIiIiIiIiMwcEzxERERERERERGaORZZJKSoqCv369UNOTg6uXLli7HAsVm5uLg4cOIBdu3bh/PnzSEhIgJWVFdzd3fHCCy8gODgY7dq1M3aYFi0rKwvbt2/Hnj17EBkZiSdPnqBSpUqoU6cOevTogX79+sHZ2dnYYVI+s2bNwrp16wAABw8eRK1atYwckeVJTEzU6/3r888/x7BhwwwYEVkSjnNMB8c6po3jHPPEcY7xmcI4hwkeAgCkpqbigw8+QE5OjrFDsWixsbGYPHkyzpw5U2Df3bt3cffuXfz555/o0aMH5syZgwoVKpR9kBbuzp07GD9+PK5evaqxPT4+HvHx8QgPD8fKlSsxd+5c+Pn5GSlKyi80NBTr1683dhgW7/Lly8YOgSwUxzmmg2Md08ZxjnniOMc0mMI4hwkeQnp6OsaPH8+rWUb25MkTjBo1Crdu3QIAeHh4IDg4GA0aNEBOTg7Onz+PkJAQpKam4q+//kJaWhp+/PFHWFtbGzdwC5KUlIThw4cjLi4OAODp6YkBAwbA29sbDx8+xIEDBxAREYHY2Fi888472LhxIxo3bmzkqCk5ORnTpk0DewoYX2RkpPL+J598Am9v7yKPb9iwoaFDIgvAcY7p4FjHtHGcY544zjEdpjDOYYLHwt29exeTJk3CxYsXjR2KxVu8eLFywNOxY0csXLhQ46rVK6+8glGjRmH06NG4c+cO/vnnH4SEhGDQoEFGitjyfP/998pBT2BgIBYsWAA7Ozvl/tGjR2PVqlX49ttvkZaWhjlz5mDt2rXGCpeemjlzpvJ1I+NSDHwkScLgwYM5xZ8MjuMc08KxjmnjOMc8cZxjOkxhnMMiyxZKlmVs374dwcHBHPSYgMzMTPz2228AAGdnZ3z//fdapyTXqlUL8+bNU369cePGMovR0qWkpGDbtm0AgIoVK+Lbb7/VGPQojBkzBj4+PgCAEydO4MGDB2UZJuWze/du7Ny5EwDg4uJi5GhIMXXZy8uLyR0yKI5zTA/HOqaN4xzzxHGOaTGFcQ4TPBbo0qVLGDhwID7++GMkJycDAF599VV4eHgYOTLLdfr0aaSmpgIAunbtCldX10KPbd68ubJo2qVLl5CZmVkmMVq6Bw8eoG3btvD09ETnzp1RsWLFQo9VDHwAIDo6uizCIy3u37+PmTNnAgAGDRqERo0aGTkiy5aZmYmbN28CAF8LMiiOc0wTxzqmjeMc88NxjmkxlXEOl2hZoIMHD+LChQsAgCpVquCzzz5Dr1698M8//xg5MsuVmZmJxo0b4/79+6hXr16xx1eqVAn37t0DADx+/BjVqlUzdIgWr27dulixYoVOx969e1d5v2rVqoYKiYogyzI+/fRTPHr0CJ6enpg6dSrGjRtn7LAs2tWrV5UFbllbhwyJ4xzTxLGOaeM4x7xwnGN6TGWcwwSPhXJwcMCwYcMwduxYTuczAf7+/vD399fp2OzsbGV2WJIkVKpUyYCRkb727t2Ls2fPAgBeeOEFtqg0kg0bNuDYsWOQJAlz5szhciAToN5ZQnFlKzk5GVevXkVqairc3NzQsGFDrUsCiPTFcY7p4VinfOA4xzRwnGN6TGWcwwSPBerWrRuGDx/OP5ZmaufOncopzs2aNeOHISPLzc1FQkICoqKi8Ntvv2Hv3r0AxJVHxbRZKls3btzAd999BwAYMWIE27iaCPXOEqmpqRgzZgxCQ0ORl5en3O7k5ITevXtjwoQJXE5DJcZxjvnjWMd0cJxjejjOMU2mMs5hgscCcX2m+UpKStIoPNi/f38jRkMAEBwcrJGxB4AOHTrg888/R506dYwUleXKycnBxx9/jIyMDNStWxcffPCBsUOip9R/Tz7++GOtx6SlpWHLli04ePAgli5dipYtW5ZRdFSecJxj3jjWMS0c55gWjnNMl6mMc1hkmchMZGVlYeLEiYiPjwcA1KlTh21DTUBMTEyBbVeuXMG2bduQkZFhhIgs29KlS3H+/HlYW1tj7ty5sLe3N3ZIBFEr4MqVK8qvnZycMHHiROzduxfnz59HaGgovv/+e2VdjoSEBIwdO1ajzgMRlX8c65gejnNMC8c5psmUxjmcwUNkBhQDnvDwcACitsAPP/wAW1tbI0dm2XJycjB8+HDUrVsXOTk5+O+//7B9+3Y8fPgQy5cvx7///os1a9ZwXXQZOXfuHH788UcAwNtvv43mzZsbOSJSePDggXKKsru7O9avX69x5bdKlSp4+eX/Z+++46os/z+Ovw4gCuLGvTVXmlnuNM2RW0tSUTOzaWa5mrbMlmlfM0eOyl+WewHOzJk2NEUzR26zHKjIVGQdOL8/7jiAbDhwOPB+Ph48uLnPde7rOgy9zue+rs+nN506deK5557D39+f0NBQPv30U7788kt7DVtE8pDmOvmP5jn5i+Y5+Vd+mueYLBaLxaZXFIfVuXNna6nDpBFIsa+IiAheeuklfvvtNwCcnZ354osv6Natm51HJqk5f/48Tz/9NAEBAQAMGTKE999/376DKgQiIyN59NFHuXDhAo0aNWL16tUp3hQ88cQT1jcOO3bsUGJIOwgODiYuLi7dqitXrlyhW7duxMbGArBnzx7l4xGb0Dwn/9Jcx3FonmMfmuc4hvwwz9EWLZF87Nq1azzxxBPWCY+Liwv/+9//NOHJx+rUqZMsd8DatWu5efOmHUdUOEydOpULFy7g6urKtGnTdMc3nypbtmyGJXWrVKmSLGFkwmRVRAomzXUci+Y59qF5jmPID/McBXhE8qnjx48zcOBAjh8/DhhLlb/88kt69epl55FJRpo3b25N8hkTE8PRo0ftPKKCbc+ePSxfvhyAl19+mfr169t5RJJTSX+G165ds+NIRCQ3aa7jmDTPyVua5xQ8uTnPUQ4ekXxox44dvPLKK0RGRgJQpkwZ5s+fr4oyDqROnTrWbPpBQUF2Hk3BtnnzZuvx9OnTk91ZTEuXLl2sx99//71KjOYzLi6anogUdJrrODbNc/KO5jkFT27OczSDEslnfH19efvtt4mLiwOgZs2afP3119SsWdPOIyvcduzYwebNm7l06RJjx47lgQceSLd9TEyM9VjJB6Ww27t3L8ePHycoKIh+/frRqFGjdNsn5HYAqFChQm4PT0TymOY6+Y/mOSLZl5/mOQrwiOQjGzdu5K233rJmYW/WrBnz5s2jbNmydh6ZXL58mY0bNwKwffv2dCc+8fHx/Pnnn9av77rrrlwfX2H2xBNP0LVr1wzbffHFF5w5cwaADz74gHLlygFQr169XB2fwO7du/n2228BcHV1TXfiYzab+f33361f33///bk+PhHJO5rr5E+a5+Rfmufkf/lpnqMAj0g+ceLECSZOnGid8LRv3545c+bg5uZm55EJwEMPPcTHH38MwPr163n55ZcpU6ZMqm3Xrl1LYGAgAI0bN6Z69ep5Ns7CqHHjxjRu3DjDdt999531uF27dqoukYfatWtnnfj4+vrywgsvpPlv24oVK7h+/ToArVq10s9JpADRXCf/0jwn/9I8J//LT/McJVkWyQfMZjOvvPKKdbnrfffdx9y5czXhyUdq1KhB9+7dAbh58yavvvqqNW9AUnv27LFOkADGjx+fZ2MUya/atWtnTSh47do13njjjWTL+xNs27aNqVOnAkaZ5FdeeSVPxykiuUdznfxN8xyR7MtP8xyt4BHJB9avX8+5c+cAMJlM9OnTh59//jlTz23Xrp0mR3nknXfe4ejRo1y5coVffvmF3r17M3DgQGrVqkV4eDi7d+9m586dWCwWAEaPHs2DDz5o51GL2J+TkxNTpkzhiSee4Pbt2/z444+cPHmSxx57jBo1ahAaGsquXbvYvXu39Tmvv/66kq2KFCCa6+R/mueIZE9+mueYLAl/oVLode7cmcuXLwNw6tQpO4+mcBkyZAiHDh3K1nN37NihJZh56OLFi4wdO9Za0jU1RYsW5Y033uDxxx/Pw5FJRp544gn2798P6O/GXg4dOsSECROSJRe8k7u7O2+88QaDBw/Ow5FJYaB5jn1pruMYNM9xXJrn2F9+mOdoBY9IPpBQZlLyv+rVq7Nq1So2b97Mpk2bOHbsGGFhYbi7u1O9enXat2/P0KFDqVixor2HKpLv3H///WzevBkfHx+2b9/OqVOnCA8Px8PDg6pVq/LQQw/h7e2tvx+RAkhzHcegeY5I9uWHeY5W8IiIiIiIiIiIODglWRYRERERERERcXAK8IiIiIiIiIiIODgFeEREREREREREHJwCPCIiIiIiIiIiDk4BHhERERERERERB6cAj4iIiIiIiIiIg1OAR0RERERERETEwSnAIyIiIiIiIiLi4BTgERERERERERFxcArwSIH35ptv0qBBAxo0aMDAgQOJi4vL9HNnz55tfe7q1atzcZR5w8fHx/p6Zs+ebe/h5GvXrl3j/fffp0uXLjRt2pR7772Xzp07s3v37ixd58KFC6xZsyaXRmkbCb8TnTt3tvdQREQkizTPSaR5TuZpniNSMCnAI4XKkSNHWLhwob2HIflccHAwAwYMYPny5Vy6dIno6GiioqK4fPkynp6embqG2Wxmzpw59O3bF39//1wesYiIiOY5kjma54gUXC72HoBIXps9ezZdunShbt269h6K5FPfffcd169fB6B27doMGzaMsmXLEhoaSr169TJ1jatXr+ruoYiI5DnNcyQjmueIFFwK8EihExMTw8SJE1m+fDnOzs72Ho7kQ6dOnbIef/7559x99912HI2IiEjmaZ4jGdE8R6Tg0hYtKZT+/PNPLWGWNN2+fdt6nNk7WSIiIvmF5jmSHs1zRAouBXikUPHy8rIez549m3PnztlxNJJfWSwW63GRIkXsOBIREZHM0zxHMkPzHJGCS1u0pFDp27cv4eHhbN++3SZLmBs0aABA1apV2blzZ5rtfHx8mDhxIgAvvfQSL7/8svWxS5cu0aVLFwBef/11nnnmGQ4ePMjSpUs5dOgQQUFBlC1blnvvvZennnqK++67z/rcXbt2sXz5co4fP05YWBjly5enXbt2vPDCC1SrVi3D8cfHx7NmzRp8fHw4c+YM8fHxVK9enU6dOjFs2DDKly+f4TWuXLnC8uXL+eWXX7h8+TKRkZGULVuWpk2b0qtXL3r06IHJZEr1uU888QT79++ndu3abNmyhaVLl/L9999z+fJlSpUqRcOGDXn//fepXr16huNIKjw8nFWrVrF7927OnDnDrVu3KFGiBHXq1OGhhx5iyJAheHh4JHvO77//zvDhw1NcK+FnDPD999/TunXrdPtO7Tq+vr74+voCKX/+YNxJW7duHb/99hvHjx8nNDSUmJgYSpQoQbVq1WjTpg1Dhw6lcuXKafYbEhLCypUr2b17N+fOnSMiIoISJUpQtWpV2rZti7e3d5a/jwkCAwMZNmwYFy5cAKB379589tlnyf5uIiMjWb16NTt27ODUqVPcvHkTDw8PKlasSKtWrXjsscdo1KhRtvq35Wu0WCz88MMP/PDDDxw9epSgoCCKFStGtWrVaNeuHcOGDaNSpUoZjuX27dusWrWKHTt2cP78ecLCwihRogR33XUXXbp0wdvbGzc3t1SfO3v2bObMmQPAL7/8QtmyZVm7di0bNmzg7Nmz3Lx5E09PT1q2bMnQoUOT/c2LiKRH85zkNM9JpHlO2jTPSUnzHMelAI8UOpMnT8bf35/Q0FD+/PNP/u///o/nnnvO3sOymj59Ol9//XWyuytXr17l6tWr7Nixg08//ZRevXrxzjvv4OPjk+y5V65cYfXq1WzdupUlS5ZQv379NPuJjIzk6aefZu/evcnOnzp1ilOnTrF48WI+/vhjevbsmeY1Fi1axOeff050dHSy8wnj3bp1K82aNWPWrFlUrFgx3dc9Y8YM5s+fb/36xo0bnDx5MlP/CSW1detW3n33XUJDQ5OdDw4OJjg4GH9/f7755humTp3KQw89lKVr54bdu3fzxhtvEBISkuKxhDEfOXKERYsWMW3atFR/HocOHWLUqFEpXnNISAghISEcO3aMb7/9lldeeYWnn346S+MLDg5mxIgR1klPnz59mDZtWrJJz/nz53nuuee4dOlSsueGhoYSGhrKqVOnWLJkCU8++SRvvvlmmhPh9NjiNQYEBPDSSy9x7NixZOdjYmL466+/+Ouvv/j+++954403ePzxx9Mcy759+3j11VcJDAxMdj44OJj9+/ezf/9+vvnmG2bOnEnz5s3TfV2hoaGMHj2aP//8M8VY169fz/r163nxxRcZO3ZsutcREUmgeY5B8xzNczJD85yUNM9xbArwSKHj6enJ22+/zWuvvQYYUebOnTvni2oTq1at4sKFC7i7u9O/f3+aNm1KWFgY69ev59ixY5jNZj744AN+/fVXfH19qVSpEoMGDaJ27dpcv36dZcuW8c8//xAWFsZ7773HihUr0uzr+++/JzY2Fg8PDwYNGkTjxo0JCwtj06ZNHDx4kIiICF555RVKlSrFAw88kOL5c+bMsVZPKFKkCL1796Zly5a4u7vz77//WqP0hw8fZsiQIfj4+FC6dOlUx3L58mUWLFhAmTJlGDFiBFWqVOHIkSOUKVMmS0uHf/jhByZMmEB8fDwA9913Hz169KBChQoEBgayZcsWDh06RGhoKKNGjeKLL76ge/fugLEH/csvvwTgiy++4MyZMwDWcwltMpJwnaCgIN577z0AWrdubb3bVbt2bWvbP//8kxdffBGz2YzJZKJr1660bduWcuXKER0dzdmzZ/Hz8+P69evWO7H3339/sklkSEgIo0ePJjQ0FJPJRI8ePWjbti2lSpUiODiYffv2sXXrVsxmM1OnTqVevXo8+OCDmfp+hoeH88wzz3D27Fkg9UlPTEwML774onXS8+CDD9KpUyfKlStHWFgYhw8fZsOGDcTGxrJo0SJq167N4MGDM9W/LV/j9evX8fb25tq1a9afU58+fahRowa3b9/G39+fjRs3Eh0dzQcffEBMTAxPPfVUirH89ttvPP/888TGxgLQvn17HnroITw9PQkKCmLnzp38+uuvBAYG8uSTT7J48eJ070yNHTuWc+fOUb16dby8vKhVqxYhISGsX7+ew4cPAzB37lxatGhBu3btsvR9E5HCSfMcg+Y5mudkRPMczXMKJItIAffGG29Y6tevb6lfv77l119/tZ4fNWqU9fzAgQMtZrM5xXNnzZplbbNq1aoUjyc81qlTp3THsHbtWmvbWbNmJXvs4sWL1sfq169vadeuneXs2bPJ2kRHR1t69uyZrJ23t7clPDw8Wbvw8HBLhw4drG0uXbqU5jjq169v6dq1a4o2d77uzp07W2JjY5M9fuDAAUvDhg2tr/3MmTMprmE2my0ff/yx9Tpjx45N0WbYsGHWx++5554Urzsrrl+/brn33nst9evXtzRo0MDy/fffp9ru+++/tzRo0MBSv359S7NmzSwBAQHpjiu7kv5c33jjjVTbDBkyxNpm7dq1qba5efOmpXv37tZ23333XbLHFy1aZH1s7ty5qV5j1apV1jZPP/10isdT+z2+efOmZeDAgdbHXnnllVT/RrZt22Zt8/bbb6fa/88//2z9fenWrVuqbdJji9c4YsQI6+OfffaZJS4uLkWbkydPWtq3b2+pX7++5e6777acOHEi2eOhoaGWtm3bWurXr29p3LixZevWramOZdOmTZa7777bUr9+fUvHjh0t0dHRyR5P+vdVv359y7hx41K0iYuLs0yYMMHaZvTo0el+j0Sk8NI8J/VxaJ6jeU4CzXMMmucUDkqyLIXW5MmTrXdaEpYw5wevvPJKirtsrq6uDBgwwPq1yWTi008/pUSJEsnalShRgl69elm/Pn36dJr9ODk5MXPmTKpWrZrisZdfftl6N+vSpUvs2LEj2eNffvkl8fHxmEwmvvjiC+66664U13B2dubNN9+kSZMmAGzZsoXz58+nOZ5evXrl6O7iwoULiYyMBGDo0KE88cQTqbZ74oknGDp0KGDsL7ZXlZGrV69y6NAhAJo2bZosMWZSHh4ePPnkk9av7/weJv26c+fOqV5j4MCBNGrUiCZNmlChQoUMxxYZGckLL7xgXU77yCOPpLijlZX+27dvT8eOHWnUqBH169cnKioqwzFktY/0XuPBgwf57bffAOjUqROvvvoqTk4p//tr0KAB77//PgBms5mvv/462ePLli0jKCgIgAkTJvDwww+nOpZevXoxbNgwwFiC7Ofnl+ZrK126NJ988gmurq7Jzjs5OTFmzBjr1wl3uUREMkvzHM1zNM9JneY5mucUZArwSKFVvnx53nrrLevX+aHaRJEiRZJNXJKqUaOG9bhBgwbUqlUr1XZJJzJhYWFp9tW+fXvuvvvuNB9P+p/ttm3brMfBwcHW/0TuvvtumjZtmuY1nJyc8Pb2Boykb7t27UqzbcuWLdN8LDMSJmdOTk48//zz6bYdOXKk9T/xrVu35qjf7KpYsSK7d+9m2bJlfPTRR+m2TZpQ785JQ9myZa3H//d//0dMTEyq1/Dz82Pt2rVMmTIl3b5iYmIYPXo0Bw4cAODRRx/l008/TXWicGf/ixcv5tatW6m2mz9/Pn5+fsyePZtixYqlO4b0+sjOa9y0aZP1eNCgQen21aVLF+vE6aeffrIug096HScnp2RvRFIzZMgQ6/GdbxyS6tSpU5pJCmvWrIm7uztAij35IiIZ0TxH8xzQPOdOmudonlPQKQePFGqPPPIIW7ZsYefOnURHR/PWW2+xbNmybFebyKlq1apRtGjRVB9LeherZs2aaV4j6T+iSf/RvlNq+82Tat68OSaTCYvFkiwxWsLdGDDuuG3fvj3d64SHh1uP70ywllRO7moFBwfz77//Asbe74wSFlasWJG6dety+vRprl69SkBAQLqVG3KDyWSiYsWKaSZljI2N5e+//+bo0aP8+OOP1vNxcXHJ2vXq1Yv58+cTHx+Pn58fv/76K507d6Z9+/a0adOGkiVLZnpMZrOZMWPG8OuvvwJQrFgx3nrrrTQnPWDcaXJzcyMyMpLffvuNzp0706lTJ9q3b0/btm3x9PTMdP9pyelrTPo7e/ny5Qx/Z8uXL8/169e5desW586do169eoSHh1v36Lu7u7N///4Mx+3q6kpMTEy6v/cZ5TsoUaIEt2/fxmw2Z9ifiMidNM9Jm+Y5uUvznMzTPEfzHFtSgEcKvQ8++ICDBw9aE6V9++23PPvss3YZS1rJ+e6UEO1OTWYz92dUZrFEiRKULFmSsLCwZFn0r169aj3+448/GD16dKb6A2OCkpas/Ad9p6TjS3oHMD01atSwLu2+ceNGnk98kgoMDGTXrl389ddf/Pvvv/z7778EBASk+p+dJUnVETD+43zrrbf45JNPiI+PJzAwkJUrV7Jy5UqcnZ2555576NChAz169Mhwcnnt2jVrcj4w7qL973//48MPP0zzOWXLlmXatGm88sorxMTEEBYWhp+fH35+fphMJho0aEDHjh3p1q2bdRl7VuX0NQYEBFiPM7qLeKegoCDq1avH1atXrd/7W7duZen3PjQ0lPj4+FQnkBn93ru4GP9N3/lzFxHJLM1zUqd5Tt7RPCd9mudonmNL2qIlhV758uV5++23rV/PmjXLbkuYs1JJIacys3w04S5Z0vKgN2/ezHafaS1rBVLszc3uddObFCaV9A7g7du3s913TsTExPDRRx/x0EMP8e6777J8+XJ+/fVXLl68iNlsxsnJicaNG9OnT590r/PEE0+wcuVKunfvnuznGhcXx+HDh5k1axa9evXi+eefTzZxTUu3bt0oVaoUYFQ8ubPEbGrt169fj5eXV7I7sBaLhZMnT7JgwQIee+wxBg8ebL07lFU5eY3p/d5lJOG5Ofm9t1gsREREpPqYve6ii0jhoXlO2jTPyV2a52Se5jliK1rBI4KxhPmHH35g165d1iXMy5cvt9n1k04c8ovMjClhQpD0P7OkE4bnnnuOV1991faDy6LixYtbjzM7iUn6H1Fae4Nzk8Vi4cUXX+Tnn38GjDsY999/P02aNKFOnTrUrVuXBg0aULx4cfbu3cvGjRvTvV7Tpk2ZNWsWkZGR/P777/z222/s27eP06dPW++K7N69myeffJJ169alOfHt27cvU6dOxcfHh3feeQeAd999lw0bNqT7fapduzZTpkzhgw8+wN/f39r/8ePHrcut//jjD4YPH46fn1+mkiDa6jUWK1bMOoE5cuRImtsD0pP0td97772sWrUqy9cQEbEXzXNSp3lO7tE8R/McsQ8FeET+88EHH9CnTx/rEubMVJtI2Lud0b7RnETFc0tGdzhCQkKs+8qTLutNutc46TJXeypfvrz1OGGPekb++ecf63FGe9lzww8//GCd9FStWpWFCxdSu3btVNuml0TyTm5ubjz00EM89NBDAFy/fp2NGzcyc+ZMoqKiuHDhAuvWrbMmhUyqfPnyTJs2zZpcb926dRw4cICLFy/y+eefJ7sDnJYiRYrQtm1b2rZtCxjLdrdu3crnn39OSEgIQUFBLFmyhAkTJmT6NeX0NXp6elonPteuXcv08vak8uPvvYhIVmiek5zmOblL8xzNc8Q+tEVL5D8VKlRIVm1i1qxZ/P333+k+J2G5bUZLI0+dOpXzAdrY0aNH03086XLVZs2aWY/vvfde6/GBAwfSTXAI8PPPPzN27FimTZvGTz/9lK2xZqRcuXJUq1YNgL///jvDSV1AQID1Z+vp6Zmtuyw5lbTiwOjRo9Oc9AD89ddf1uOke5Tj4+P54YcfmDt3Ll988UWqz61QoQJPP/10sjuQSa+XlKurq3X/tMlkYvLkydbl9EuWLOGPP/5I8Zzdu3fz1Vdfpbl/vXTp0gwaNIhPPvkkw/5TY4vXmPT3d9++fen2Z7FYmDhxIu+++y7z58+3TjorVKhAlSpVAONNw4ULF9K9zvXr13nxxRf56KOPWLp0abptRUTyguY5yWmek7s0z8kczXPE1hTgEUni0UcfpVOnToCxtDdp2cHUlCtXDjCWwab1D2FYWBi//PKLTcdpCz/++CPXr19P9bG4uDgWLlxo/bp3797W4+rVq1vLjgYEBODn55dmH/Hx8Xz++eds2bKFhQsXcunSJdsMPhXdunWz9vnVV1+l2/arr76yTti6dOmSK+NJmmgutclh0nKQSZde3yk4OBgfHx/r10nvojo5OfHZZ58xc+ZMFixYkCwJ453KlCmTqf6Sqlu3LiNHjrS+hrfffjtF6c5vvvmG6dOns2TJEo4cOWLT/sE2rzHhdwPg22+/TXfZ/o4dO/Dx8WHVqlUsXrwYDw+PVK8zf/78dMf99ddfs2PHDhYvXszvv/+eblsRkbyieY5B85yc0zwn5/2D5jliewrwiNxh8uTJma50kPQuz4wZM1JkgL916xavvvpqsv/k8ovbt28zZsyYZOU9wZj0TJ48mWPHjgFGGdFWrVolazNq1Cjr8YcffmhdgptUfHw8kyZNst5h8PT0xMvLy9Yvw+rJJ5+0Jh5ctmwZS5YsSbXd0qVLrXkHihcvznPPPZcr40m6l/nO7zFgvRMHRoK/1CZHV65c4YUXXkj2n/2d/2knTErj4+N58803U0xMACIjI5MtxW/dunWmX8fIkSOpU6cOAOfOnWPOnDmp9g/wzjvvpLpMPy4ujgULFmSr/6R9ZPc1du7cmYYNGwJw/vx5xo8fn2oOg5MnTya7u/3MM88kSw44YsQI6++Yr68v8+fPT7Xqg5+fH4sXLwaMO4T2qlYjIpIazXM0z7EFzXMSaZ6jeU5+ohw8IneoWLEib7/9Nm+88UaGbb29vfnhhx8A2LJlC4MHD6Zfv36ULFmSs2fPsnbtWgIDA2nWrBmHDx/O5ZFnTdmyZfnjjz/o06cPgwYNok6dOly/fh1fX19OnjwJGMtOp02bluK53bp1w9vbm5UrV3L79m2effZZOnXqRMeOHSlVqhSXLl3Cz8/PWqXD2dmZKVOmZLryQ3ZUqlSJDz/8kFdffRWLxcKHH37Ipk2b6NGjBxUqVCAwMJAtW7Zw8OBBIHFpbkZlVLOrdOnSuLm5ERkZyc8//8xXX31FjRo1qFKlCk2bNuWxxx5j5cqVWCwWfv31V/r3788jjzxCpUqVCAkJ4fDhw2zdupWoqKhk171zmfwzzzyDr68vgYGB/PLLLzz88MP079+fmjVrAsYe/LVr11rvYrZu3ZqOHTtm+nW4urry4YcfMmzYMCwWCwsXLqRHjx7Wu5teXl4sXbqU06dPc+rUKbp27YqXlxd16tShaNGiXL58GT8/P+ud3zp16vDYY49l6XuZ09doMpmYMWMGgwYN4ubNm+zYsYPu3bvj5eVFvXr1uH37Nn/88QcbNmwgNjYWgFatWjF8+PBk46hcuXKy37EZM2awdetWevfuTeXKlblx4wa7d+9Odid75MiRNG3aNEuvV0QkN2meo3mOLWieo3kOaJ6THynAI5KKRx99lC1btrBr165027Vt25axY8cya9YsLBYLhw8fTjHBadeuHR988EGuLZHNrokTJ7Jo0SKOHz/O7NmzUzxeo0YN5s+fn+wOTFKTJ0+mbNmyfP3115jNZnbt2pXq96t06dJ88skndOjQweav4U59+vTB1dWVt99+m/DwcA4dOsShQ4dStCtTpgxTp07N0gQgq0wmE3379mXVqlWYzWamT58OQPfu3Zk1axZNmzblzTffZOrUqcTHx3Py5EnrhPPOsX700Ue8//77BAYGcvr0aeLj461Lo0uXLs0333zDyJEjuXr1KlevXmXevHmpjqldu3bMnDkzy6+lRYsWDBgwgNWrV2M2m3nrrbdYs2YNLi4uuLq6smDBAp5//nnOnDlDaGhomok7GzduzJdffpnl6g62eI116tRhxYoVjBkzhnPnznH9+vU0lx937dqVadOm4eKS8r/IO3/Hjh8/zvHjx1O0c3FxYdSoUbz00ktZeq0iInlB8xzNc3JK85yUNM+R/EABHpE0TJ48mYMHD6a67DSpF198kQ4dOrB06VJ+//13AgMD8fDwoGHDhvTv35++ffsSEhKSR6POvBIlSrBixQq+++47NmzYwL///ouLiwt16tShV69eDBkyJN3/oEwmE+PGjcPLy4sVK1awb98+Ll26REREBMWLF6du3bo89NBDDBw4kLJly+bZ6+rWrRtt2rRhxYoV/PTTT5w/f55bt25Rrlw5atasSc+ePenTp0+ykqi55d1336Vs2bJs2rSJq1ev4uLiQmRkpPXxESNGcN999/H9999z6NAhAgMDMZlMlC5dmrvuuouOHTvi5eVFyZIl2b59O76+voSFhfHTTz/RuXNn63UaNmzI5s2bWbt2Lbt27bJOQFxcXPD09OS+++6jd+/e1moM2fH666+za9cubty4wYkTJ/jqq6948cUXAahSpQq+vr6sW7eObdu2cfLkSYKDgzGZTHh6etKkSRO6detGr169ku3ZzwpbvMa77rqLDRs2sHHjRrZt28axY8cIDg4GjOSCzZo1w8vLiwceeCDdsXTr1o22bduycuVK9uzZw9mzZwkPD6dIkSJUr16d1q1bM3jwYOrWrZut1yoikhc0z9E8J6c0z9E8R/IfkyW1jXUiIiIiIiIiIuIwlGRZRERERERERMTBKcAjIiIiIiIiIuLgFOAREREREREREXFwCvCIiIiIiIiIiDg4BXhERERERERERBycAjwiIiIiIiIiIg5OAR4REREREREREQenAI+IiIiIiIiIiINTgEdERERERERExMEpwCMiIiIiIiIi4uAU4BERERERERERcXAK8IiIiIiIiIiIODgFeEREREREREREHJwCPCIiIiIiIiIiDk4BHhERERERERERB6cAj4iIiIiIiIiIg3Ox9wDs6fjx4yxevJj9+/cTGBiIu7s71apVo3v37gwePJiSJUvmSr/Tp0/nq6++on///nz66ae50oeIiIhIbs91Fi5cyLRp0zLd/tChQxQvXjxHfYqIiEjqCm2AZ/78+cycOZP4+HjruZiYGEJDQzl27BjLli1j1qxZNG3a1Kb97tu3j4ULF9r0miIiIiJ3you5zokTJ2wxVBEREbGBQhngWbp0KTNmzADAzc0Nb29v7rnnHsLDw9m0aRP+/v4EBAQwcuRI1qxZQ9WqVW3S75EjR3jppZeIi4uzyfVEREREUpNXc52TJ08CUKVKFd5+++0M2xcrVixb/YiIiEjGTBaLxWLvQeSlgIAAevToQVRUFKVKlWLJkiXUr1/f+rjFYmHGjBksWLAAgG7dujF79uwc97t+/XomTZrE7du3ree0RUtERERsLa/mOtHR0dx///2YzWa6d+/OrFmzbPYaREREJOsKXZLlRYsWERUVBcDYsWOTTXgATCYTEyZMoEWLFgBs3bqVM2fOZLu/0NBQ3n33XV577bVkwR0RERGR3JBXc53Tp09jNpsBaNiwYQ5HLSIiIjlVqAI8FouFTZs2AcYS4QEDBqTZdsSIEdbjjRs3Zqu/xYsX8/DDD7Nq1SoAPDw8eOaZZ7J1LREREZGM5OVcJ2F7FijAIyIikh8UqgDP2bNnCQwMBKBFixYULVo0zbatW7fGycn49uzevTtb/X377beEh4cD0KZNG/z8/OjYsWO2riUiIiKSkbyc6yRNsKwAj4iIiP0VqiTLp06dsh43aNAg3bYlS5akYsWKBAQEcObMGcxmMy4uWf921apVi3HjxtGzZ08Arly5kuVriIiIiGRGXs51EgI8JUuWpEqVKgD8888/XLx4EWdnZ6pUqULNmjWz8SpEREQkOwpVgOfy5cvW42rVqmXYvkqVKgQEBGA2m7l69WqmnpPU1KlTad68ufXumIiIiEhuyqu5jsVisQaT6taty3fffcfixYu5ePFisnbVqlXj2WefxdvbW/MhERGRXFao/qcNCgqyHpcpUybD9qVKlbIeh4aGZrm/li1bajIjIiIieSav5joXL14kIiICgD/++INPPvkkRXAH4NKlS7z//vuMHDlSxSZERERyWaGKPiRUlAAj8WBGku5bj4yMzJUxiYiIiNhKXs11kubfAWjUqBEzZszg119/5ejRo2zevJnRo0dbx7Bnzx5ef/31TF9fREREsq5QbdGKjY21HhcpUiTD9q6urtbjhDKg9rJy5UpWrlwJQHR0tLVChoiIiEiCvJrrXL58GWdnZ+Li4ujZsyefffZZsv7q1q3LmDFj6NixI8OHDycqKopt27axfft2unbtmuo1NdcRERHJmUK1gsfNzc16nHQClJaYmBjrcWYmSbnJ29sbHx8ffHx80q2IISIiIoVXXs11nn76aY4cOcL27duZNm1ams+99957GT16tPXrZcuWpXlNzXVERERyplAFeNzd3a3H0dHRGbZP2ibphElEREQkP8rLuY6LiwvVq1dPtgooNf3797ce+/v7Ex8fn6V+REREJHMKVYCnZMmS1uPMJBIMCwuzHpcrVy43hiQiIiJiM/lxrlO+fHlKly4NGAGl7BSuEBERkYwVqgBPnTp1rMcBAQEZtr9y5Qpg7E8vX758ro1LRERExBby61zH3lvdRURECoNClWS5fv361uNTp06l2zYsLIxr164BUK9ePZydnXN1bCIiIiI5lRdzHbPZzOrVqwkKCuL27dsZVseKjo4mJCQEMAJJSUuzi4iIiO0UqgBPjRo1qFq1KpcvX+bgwYPExsameUdp37591j3irVu3zsthioiIiGRLXsx1XFxc+OKLL6xbrby9valZs2aa7fft22et0NWsWTPdNBMREcklhWqLFkDPnj0BCA8Px8fHJ812ixYtsh736dMnt4clIiIiYhN5Mddp166d9Xjp0qVptjObzXz55ZfWr728vLLUj4iIiGReoQvwDBs2zFphYurUqRw5ciRFm+nTp3Po0CEA2rdvT+PGjfN0jCIiIiLZlRdznSeffBKTyQTAkiVL2Lx5c4o2MTExvPXWW/z5558ANGrUSDfNREREclGh2qIFULlyZcaOHcuUKVOIiIhg6NChDBgwgObNmxMREcHGjRs5cOAAACVKlGDSpEkpruHj48PEiRMBqFq1Kjt37szT1yAiIiKSlryY69x7770899xzfPXVV8TFxTF+/Hg2bNhAp06d8PDw4O+//8bX15eLFy8CRoWuzz//XMmWRUREclGhC/AAjBgxgvDwcObNm0dsbCzLly9n+fLlydp4enoyd+5catSoYadRioiIiGRPXsx1XnnlFYoWLcrcuXOJi4tj586dqd70atCgATNmzEhW4UtERERsr1AGeADGjBlD586dWbp0Kfv37ycwMBBnZ2dq1qxJ586dGT58OKVLl7b3MEVERESyJS/mOi+99BK9evVixYoV7N27l8uXLxMTE0O5cuVo1KgRPXr0oG/fvkqsLCIikgdMFovFYu9BSNZ4eXmlmzRRRERExJFpriMiIpJ1hS7JsoiIiIiIiIhIQaMAj4iIiIiIiIiIg1OAR0RERERERETEwSnAIyIiIiIiIiLi4BTgERERERERERFxcArwiIiIiIiIiIg4OAV4REREREREREQcnAI8IiIiIiIiIiIOTgEeEREREREREREHpwCPiIiIiIiIiIiDU4BHRERERERERMTBKcAjIiIiIiIiIuLgFOAREREREREREXFwCvCIiIiIiIiIiDg4BXhERERERERERBycAjwiIiIiIiIiIg5OAR4REREREREREQenAI+IiIiIiIiIiINTgEdERERERERExMEpwCMiIiIiIiIi4uAU4BERERERERERcXAK8IiIiIiIiIiIODgXew9ARERERERERKRAiYwEX184dw7q1gUvLyhWLFe7VIBHRERERERERMRWDhyAbt3AbIaICCheHEaPhq1boWXLXOtWAR4RERERERERR2OHFSIOw2KBuDiIjTWCLLGxOfvIyjUiI2HxYoiJSRzPrVvG527dICAg135OCvCIiIiIiIiIOJLcWCGSEBCxR1AkN66RH5nN4OMDQ4fmyuUV4BERERERERHJC3FxEBWVvY/ISOPzzZuwYAFERydeN2GFyAMPQLt2EB+f9YCIxWKf70lhEhEB58/n2uUV4BEREREREZGUCuIWoJwEWGzxYTbn7uszm2H37tztw1GYTFCkSPY+XFyy/9zDh2HZsuQBuATFi0OdOrn2khXgERERERERkeRyK0lsQQ+wOLrsBjVyGhTJjWs4O9vnexgVZQRGUwvwuLgYgdJcogCPiIiIiIiIJAoMhK5dITw88VzCFqAOHWDUKCNQkp0AS37NjZJXTCZwczNWQmX348QJI49LagEENzcYNw66d89eQMRkyvNvSYFTrJgRCL0zQOriYpzPxVVwCvCIiIiIiIgUBhYLhITApUvGx+XLicdJvw4LS/saUVEwY0bejdnWTKacBVeKFctZgMbFJedBlKgo+OGH1AM8RYvCe+85/lY6R9eyJVy5YqzkOX/e2JaVB1scFeARERERERFxdPHxcP166gGbpF9HRtp3nLYIsOTko0gRx1+lYscVIpIFbm65Vi0rLQrwiIiIiIiI5GexscZqgLRW3Fy6ZDxuq/wyzs5GwCi1qkqursZKhLZtC2+AJT+w0woRyd8U4BEREREREbGX27eNQE16wZtr12xXwrp4caheHapVg6pVjc8JHwlfe3hAlSoQGpry+e7u8O23CiTkB3ZYISL5mwI8IiIiIiIitmaxGEmKM8p3Exxsuz7Llk09YJP065IlM7eCRluARByOAjwiIiIiIiJZYbHAjRtpB28SziVUnsopkwkqVkw/eFOlirG6xla0BUjE4SjAIyIiIiIiksBsNrZEZZSsOCbGNv25uBjBmrS2S1WrBpUrG7lr8pq2AIk4FAV4RERERESkcIiONlalpLbaJuE4IMBIMGwLbm7pb5eqVg0qVAAnJ9v0JyKFmgI8IiIiIiJiH5GRxhagc+egbt2cbQG6dSv9XDeXLkFgoO3GXqpU2sGbhHNlyqhilIjkGQV4RERERAqo48ePs3jxYvbv309gYCDu7u5Uq1aN7t27M3jwYEqWLJkr/d68eZN+/fpx5coVWrVqxeLFi3OlH3FwBw6kTOI7erSRxLdly8R2FguEhGScrDgszHZjK18+42TFHh62609ExAYU4BEREREpgObPn8/MmTOJT7LVJCYmhtDQUI4dO8ayZcuYNWsWTZs2tXnfH3zwAVeuXLH5daUAiYw0gjtJy3AnJCR+8EFjJU9AQGIAJzLSNv06ORn5bFJbbZM0WXHRorbpT0QkDynAIyIiIlLALF26lBkzZgDg5uaGt7c399xzD+Hh4WzatAl/f38CAgIYOXIka9asoWrVqjbre8uWLaxfv95m15N8xmKB27fh5k2jBPidn1M7l9pjwcFpB22io2H58qyPzdU1/Vw31aoZlahc9BZIRAom/esmIiIiUoAEBAQwbdo0AEqVKsWSJUuoX7++9fEhQ4YwY8YMFixYQHBwMJ9++imzZ8+2Sd/Xr19n0qRJNrmW2JDFAlFRWQ/CpPXZVgmIs6J4cahePf0Ajqen8t2ISKGmAI+IiIhIAbJo0SKioqIAGDt2bLLgDoDJZGLChAkcPHgQf39/tm7dypkzZ6hXr16O+3777bcJDQ2lZMmShIeH5/h6hV50dPaDMXeeM5vt/Woyz9UVnnwSBgxIDOCULKngjYhIBhTgERERESkgLBYLmzZtAqBYsWIMGDAgzbYjRozA398fgI0bNzJ+/Pgc9b1s2TL27NmDk5MTb7/9Nm+88UaOrmcztqzSlBmxsTkPxiR8jonJvXHmRLFiUKKEEXQpWTLx+M7P6T3m6gqNGiXPwZPA3R1mzcrdn5OISAGkAI+IiIhIAXH27FkC/ysD3aJFC4qmkyi2devWODk5ER8fz+7du3MU4Llw4YJ1W9iTTz5JixYtsn0tm8pslSaz2Qio5HQLU3i4seomP3J1zXoQJq3HihSxzZi2bk3583FxMc4ruCMikmUK8IiIiIgUEKdOnbIeN2jQIN22JUuWpGLFigQEBHDmzBnMZjMu2Ug+GxcXx+uvv05kZCR169Zl/Pjx1iCTXaVXpaltW6hZ0wgqhIfbrkKTrbm45DwYk/A5P1aFatkSrlwxVlidPw916uT+CisRkQJMAR4RERGRAuLy5cvW42rVqmXYvkqVKgQEBGA2m7l69WqmnnOnefPm8eeff+Li4sLUqVPTXTWUp3x90847ExdnBBRyg7Nz+oGWrARqihYt+Hln3Nxg6FB7j0JEpEBQgEdERESkgAgKCrIelylTJsP2pUqVsh6HhoZmOcBz9OhR5s2bB8ALL7zAPffck6Xn56pz54wVOplhMtlm61LJkkbAoqAHZUREJF9SgEdERESkgEiongVGkuWMJF1tE5nFbUpRUVG8/vrrmM1mGjduzKhRo7L0/FxXt66R0yVhW1ZS7u4weTI8/rgRmCleXEEZERFxeArwiIiIiBQQsbGx1uMimUiE6+rqaj02Z7GM9meffcb58+dxdXVl6tSp2crfk9TKlStZuXIlACEhITm6FmDkchk9OvXHXF3hpZeU60VERAoUJ3sPQERERERsw83NzXqcNNiTlpgkZbgzExBK8Ouvv7J06VIAxo0bR7169bIwytR5e3vj4+ODj49PpraXZahYMaMaU+nS4OFhrNDx8DC+VpUmEREpgLSCR0RERKSAcHd3tx5HZ6Jcd9I2SYND6QkLC2PixIlYLBaaN2/OU089lfWB5hVVaRIRkUJEAR4RERGRAqJkyZLW49Ck5cHTEBYWZj0uV65cpvqYPHky165dw93dnalTp+LklM8XhKtKk4iIFBIK8IiIiIgUEHXq1LEeBwQEZNj+ypUrgJGLp3z58pnqY9OmTQDcvn2brl27Zth+//79NGjQAICqVauyc+fOTPUjIiIiWZPPb7mIiIiISGbVr1/fenzq1Kl024aFhXHt2jUA6tWrh7Ozc66OTURERHKXVvCIiIiIFBA1atSgatWqXL58mYMHDxIbG5tm8uR9+/YRHx8PQOvWrTPdx5dffplhm6CgIN577z3ACB6NGzcOyFzpdhEREckeBXhERERECpCePXvyzTffEB4ejo+PD97e3qm2W7RokfW4T58+mb5+ZrZlXbp0yXpcpkyZTD1HREREckZbtEREREQKkGHDhlmraU2dOpUjR46kaDN9+nQOHToEQPv27WncuHGejlFERERsTyt4RERERAqQypUrM3bsWKZMmUJERARDhw5lwIABNG/enIiICDZu3MiBAwcAKFGiBJMmTUpxDR8fHyZOnAgoMbKIiIijUIBHREREpIAZMWIE4eHhzJs3j9jYWJYvX87y5cuTtfH09GTu3LnUqFHDTqMUERERW1KAR0RERKQAGjNmDJ07d2bp0qXs37+fwMBAnJ2dqVmzJp07d2b48OGULl3a3sMUERERGzFZLBaLvQchWePl5YWPj4+9hyEiIiKSKzTXERERyTolWRYRERERERERcXAK8IiIiIiIiIiIODgFeEREREREREREHJwCPCIiIiIiIiIiDk4BHhERERERERERB6cAj4iIiIiIiIiIg1OAR0RERERERETEwSnAIyIiIiIiIiLi4BTgERERERERERFxcArwiIiIiIiIiIg4OAV4REREREREREQcnAI8IiIiIiIiIiIOTgEeEREREREREREHpwCPiIiIiIiIiIiDU4BHRERERERERMTBKcAjIiIiIiIiIuLgFOAREREREREREXFwLvYegIiIiBRCkZHg6wvnzkHduuDlBcWK2XtUIiIiIg5LAR4RERHJWwcOQLduYDZDRAQULw6jR8PWrdCypb1HZxMXLlygVq1a9h6GiIiIFCLaoiUiIiJ5IyYG/P2hUycIDYVbt8BiMT6HhhpBn6goe4/SJnr27Mnjjz/O2rVriYiIsPdwREREpBDQCh4RERGxrbg4+PtvOHYs+cepU8aqnbSYzeDjA0OH5t1Yc4nFYuHQoUMcOnSIjz76iB49etC/f39atWpl76GJiIhIAaUAj4iIiGSPxQKXLiUP4hw/Dn/9ZeTYyaqICDh/3vbjtIOePXuyc+dOoqOjiYyMxM/PDz8/P6pWrYqXlxf9+/encuXK9h6miIiIFCAK8IiIiEjGrl9PDOAkDeiEh2ftOp6eEBJirPK5U/HiUKeObcZrZzNmzODWrVts3LgRPz8/Dh8+DMClS5eYPXs2c+bMoU2bNjz22GM8/PDDuLq62nfAIiIi4vAU4BEREZFEYWEpgzjHjkFgYNauU6kSNGlifDRubHy++25wdYXKlY2cO3dycTGqaRUQHh4eDB48mMGDB3PhwgV8fX1Zv349AQEBWCwW9u7dy969e/Hw8KB37954eXnRtGlTew9bREREHJTJYrFY7D0IyRovLy98fHzsPQwREXFkt2/DiRPJt1YdOwYXL2btOqVLJwZykgZ0PD3Tfk5qVbRcXApUFa20WCwW9u3bh6+vL9u2bSPyv61sJpMJgDp16vDYY4/Rr18/PNP7HhZwmuuIiIhknQI8DkiTHhERybSYGDh9OuWqnHPnjBw6meXunrgSJ+lH5crwX3AiSyIjwdfXyLlTp46xcqdYsaxfx4FFRkayZ88edu7cyU8//URYWBhgBHucnZ3p2LEj3t7edOjQwc4jzXua64iIiGSdtmiJiIgUBNmtXHWnIkWgUaOU26tq1QInJ9uN182tQFTLygk3Nze6du2Kh4cHrq6u+Pr6EhcXh8ViwWw2s3PnTnbu3EnNmjUZP3483bt3t/eQRUREJB9TgEdERMSR2KpylZMT3HVXyhU5d91lBHkk1yTk31m/fj27du0i/L9E1QmLqqtUqULTpk3Zs2cPt2/f5sKFC4wbNw4vLy8+/vhjew5dRERE8jEFeERERPIrW1WuqlkzZSCnYcNCtyXK3s6cOYOfnx8bN27k+vXrQGJQx9XVlS5dujBgwAAeeOABTCYTUVFRbNiwgZkzZ3Ljxg18fHyoV68eI0aMsOOrEBERkfxKAR4RERF7y+3KVSVL5s64JUNBQUFs2LCBdevWcfLkSSAxqAPQoEEDBgwYQL9+/ShVqlSy5xYrVoyBAwdy//33069fP+Lj41m1apUCPCIiIpIqBXhERETyij0rV0me2rRpE35+fuzdu5e4uDggMbBTsmRJevfuzYABA2jcuHGG16pbty7169fnxIkTXL58OVfHLSIiIo5LAR4RERFbi4mBM2dSrsixd+UqyTOvvPIKJpPJGtQxmUy0bt2aAQMG0L17d1xdXbN0vSL/5UUqV66czccqIiIiBYMCPCIiItmVG5WrkgZ0bF25SvKUxWKhUqVK9O/fHy8vL6pXr57tazVu3Jg2bdpw33332XCEIiIiUpAowCMiIpIRVa6SLOrevTsDBgygffv2mGyw2mrSpEk2GJWIiIgUZArwiIiIJBUYmHJFjipXSRbNnDkz022PHj1K48aNcdJqLREREckBBXhERKRgiowEX18j703duuDllTy4YuvKVUm3VqlylfwnIiKC//u//8PPz49PPvmE1q1bJ3s8KCiIgQMHUrZsWR5//HGee+65LOfnEREREQEFeEREpCA6cAC6dTPy4EREgJsbPPcc9O8PwcGqXCV54t9//+Xpp5+2Vr66cOFCigDPpUuXAAgJCWHOnDns2LGDb775hrJly+b5eEVERMSxKcAjIiIFS3AwdO4Mt24lnrt92/i8dGnGz1flKrGBmJgYnn/+eWsAx9nZ2VouPalSpUrRv39/du7cSVhYGCdOnGDs2LEsXrw4r4csIiIiDk4BHhERcWwWi7HV6scfYetW2LULYmMzfl5C5ao7gzmqXCU2sHr1ai5cuIDJZKJVq1Z89tlnVKhQIUW7WrVqMWXKFG7dusU777zDli1b8Pf3Z/PmzfTq1csOIxcRERFHpQCPiIg4nsBA2L49MagTEJD553p7w6RJqlwluerHH38EoHr16nzzzTcUyeB3zcPDg6lTp3L06FGuXLnCunXrFOARERGRLEkzwPP9998D0KlTJ6pXr57jjrZv387LL7+MyWTir7/+yvH1RESkEImJgd9+SwzoHDqUfnuTyVjZcycPD+jXz1i5I5KLTp8+jclkYuDAgRkGdxIULVoULy8vZs+ezfHjx20yjuPHj7N48WL2799PYGAg7u7uVKtWje7duzN48GBK2iAZ+OXLl1m6dCm//PILFy9eJD4+ngoVKnDffffRr18/2rdvb4NXIiIiIhlJM8DzySefYDKZqFq1aroBnilTpgAwYMAA6tWrl25nltQm2yIiIneyWOD0aSOY8+OP8NNPRrLktJQuDV27Qvfu8OCD0KYNhIambOfiYlTTEsllt/7LAVWtWrUsPa9WrVoAhKb2+5tF8+fPZ+bMmcTHx1vPxcTEEBoayrFjx1i2bBmzZs2iadOm2e5j7dq1fPjhh0RGRiY7/++///Lvv/+ybt06OnXqxNSpUylVqlS2+xEREZGM5XiL1nfffWfdX55RgEdERCRNISGwY0fiKp1//027rbOzEcTp3t2oltWihXEuwdatyatoFS9uBHe2bk1eKl0kl3h6enLt2jUCAwOz9Lzw8HDA2LKVE0uXLmXGjBkAuLm54e3tzT333EN4eDibNm3C39+fgIAARo4cyZo1a6hatWqW+9i8eTNvv/229QZep06deOCBByhVqhTnz59n1apVBAcHs2vXLl566SW+/fZbXFyUHUBERCS36H9ZERGxD7MZfv89cZXOgQOQZKVBCnXqJAZ0OnWC9FYDtGwJV66Ary+cP28818tLwR3JMzVq1ODq1ats2bKF4cOHZ/p5O3bsABJX8mRHQEAA06ZNA4wqXUuWLKF+/frWx4cMGcKMGTNYsGABwcHBfPrpp8yePTtLfURERDB58mRrcOd///sfffv2Tdbm2Wef5bnnnuOPP/5g//79bNy4kUcffTTbr0tERETSpwCPiIjknfPnEwM6O3fCf6sVUlWihFHuPCGoU7du1vpyc4OhQ3M2XpFs6tGjB/v37+ePP/5gyZIlDBs2LMPnrFu3jl9++QWTycRDDz2U7b4XLVpEVFQUAGPHjk0W3AEwmUxMmDCBgwcP4u/vz9atWzlz5kyWVmJv3LjRuo2sf//+KYI7ACVKlODdd9/F679tkRs2bFCAR0REJBcpwCMiIrknPNwoW54Q1Dl3Lu22JpOx8iYhoNO6tapcicPq168fs2bNIiwsjI8//pjjx48zYsQIGjRokKLtuXPnWLJkCStXrgSMwMjQbAYnLRYLmzZtAqBYsWIMGDAgzbYjRozA398fMAI248ePz1I/9913H+fOnaNPnz5ptksaNLp06VKmry8iIiJZpwCPiIjYTlwcHDyYGNDZu9c4l5bq1RMDOl26QNmyeTdWkVzk4eHB9OnTee6557BYLPj5+eHn50eJEiWoUqUKxYoVIyoqioCAAGveHYvFgrOzM5988km2q1udPXvWmvenRYsWFC1aNM22rVu3xsnJifj4eHbv3p2lAM/gwYMZPHhwhu0uXrxoPa5QoUKmry8iIiJZpwCPiIjkzMWLRkBn61bYvh2Cg9Nu6+4ODz2UGNRp0MBYuSNSALVr14558+YxadIkrl69ChhJlG/evGltk7TCaKlSpfjkk0/o0qVLtvs8deqU9Ti11UJJlSxZkooVKxIQEMCZM2cwm802TYIcGxvL559/bv26d+/eNru2iIiIpKQAj4iIZE1EBOzenbhK5+TJ9Nvfd19iQOeBByCdFQUiBU3Hjh3ZtGkTGzZsYPv27fz555/JAjxFixalSZMmdO7cmUGDBlGiRIkc9Xf58mXrcWZKtFepUoWAgADMZjNXr17Ncln3O8XExBAQEMDevXtZsmQJZ86cAYzvw2OPPZaja4uIiEj6FOAREZH0xcfDn38mrtL55ReIiUm7faVKRjCne3fo2hW0LUMKueLFiyfb0hQTE0NoaChubm45DujcKSgoyHpcpkyZDNuXSlKNLjQ0NEcBnhMnTqRIouzq6sqzzz7LqFGjKKKcWiIiIrlKAR4REUkpIAC2bTMCOtu2wfXrabctWhQ6dEhcpdOkibZdiaTD1dU11/LRJFTPAiPJckaS5uiJjIzMUd9JVw8liImJ4eeff6Zp06Z06tQp3eevXLnSmmg6JCQkR2MREREpjBTgERERiIqCn39OXKVz5Ej67Zs0SVyl8+CDRklyEbGZ4OBgymYj6XhsbKz1ODMrZlxdXa3HZrM5y/0lVaZMGd5++208PT0JCgpi69at7N+/n6NHj/LCCy/wyiuv8Pzzz6f5fG9vb7y9vQGspdVFREQk8xTgEREpjCwWOH48MaCze7cR5EmLpyc8/LAR0Hn4YahSJe/GKuLgTp8+zfnz54mKiiIuLi5ZYmUwEi2bzWaio6O5desWJ06c4LfffuOPP/7Icl9uSYKtSYM9aYlJst0yp1uomjdvTvPmza1fP/HEEyxdupQPPvgAgM8//5xWrVrRrFmzHPUjIiIiqVOAR0SksAgMNKpcJQR1rlxJu22RItCuXeIqnWbNwMkpz4YqUhCcO3eO1157jRMnTmTpeRaLBVM2tzm6u7tbj6OjozNsn7SNWy6sxHv88cc5ceIEq1evxmKx8P333yvAIyIikksyDPC89957fPLJJxleKKN2UendGRYREduLiYHffksM6Bw6ZKzcSUuDBokBnY4dwcMj78YqUsDcvn2bZ555hmvXrqVYsZMak8mUrF3VqlWz1W/JkiWtx6GhoRm2DwsLsx6XK1cuW31m5PHHH2f16tUA+Pv750ofIiIikokAT3BwcLqPJ9xhyqidiIjkMosFzpwxSpdv3Qq7dhklzdNSurRR5apbN+OjZs08G6pIQbd69WquXr2KyWTC1dWVrl27Ur16dXbt2sWZM2do1aoV999/P+Hh4Rw/fpwjR45YV+7Mnj2brl27ZqvfOnXqWI8DAgIybH/lv5V8rq6ulC9fPlt9ZmVMmi+KiIjknnQDPJm54yQiInYUEgI7diSu0vnnn7TbOjtDmzaJq3RatDDOiYjN7dmzBzAqWa1cuZL69esDULZsWaZMmYKLiwtjx461tvf392fcuHEEBQUxd+5cOnfujFM2tkUm9ANw6tSpdNuGhYVx7do1AOrVq4dzFv49+N///sfZs2cJCwtj+fLl6bZNmuenePHime5DREREsibNAM+OHTvychwiIpIZZjP8/ntiQGf/foiPT7t97dqJ5cs7d4ZSpfJurCKF2JkzZzCZTPTt2zdZ0CUh/8yhQ4eIi4uzBlVatGjBjBkzGD58OCdOnGDbtm107949y/3WqFGDqlWrcvnyZQ4ePEhsbGyayZP37dtH/H//frRu3TpL/fz666/89ddfABw9epR77rknzbaHDh2yHterVy9L/YiIiEjmpRngye7ebxERsbG//07cdrVjB4SHp922RAkjkJOwSqdu3bwbp4hYhf/3d3rvvfcmO1+vXj1MJhNRUVGcPXuWBg0aWB9r2bIlbdq0Yd++fWzatClbAR6Anj178s033xAeHo6Pj4+19PidFi1aZD3u06dPlvp46KGHrAGe7777jv/973+ptouPj+frr7+2fp3d1yQiIiIZU0kUEZH8Jjwc1q+H0aOhXj2oUwdGjQJf35TBHZMJWrWCd96BPXsgKAj8/ODFFxXcEbGjhG3uSZMeg1HlytPTE4CzZ8+meF7Hjh2xWCwZbq9Kz7Bhw6zVtKZOncqRI0dStJk+fbp1ZU379u1p3LhxlvoYMmSIdbvVhg0brEmUkzKbzbz//vscOHAAgGrVqqUZbBIREZGcS3MFz/DhwzGZTIwdO5b7778/L8ckIlK4xMUZFa4SVuns3WtsxUpLtWqJ2666dIFcqnwjItlXunRprl+/zq1bt1I8VqNGDW7cuMHff/+d4rEKFSoAEBgYmO2+K1euzNixY5kyZQoREREMHTqUAQMG0Lx5cyIiIti4caM16FKiRAkmTZqU4ho+Pj5MnDgRMFZ179y5M8U433//fV5//XUsFgvvvPMO27Zto0uXLpQoUYJ///0XX19fLly4ABi5d7788ktcXV2z/bpEREQkfWkGePbv34/JZCIkJCQvxyMiUjhcvAjbthlBne3bIb3KMu7u8NBDidWuGjY0Vu6ISL5Vu3Ztrl+/ztGjR+nfv3+yx2rUqMHBgwc5ceJEiucllDZPmpg4O0aMGEF4eDjz5s0jNjaW5cuXp0iG7Onpydy5c6lRo0a2+ujXrx8AkyZN4vbt2+zevZvdu3enaFenTh1mzZql/DsiIiK5LMMy6fnV8ePHWbx4Mfv37ycwMBB3d3eqVatG9+7dGTx4cIol0dkRFxfHunXrWLduHSdPniQiIoJy5cpx991389hjj2WqhOnIkSP56aefMtVf48aN8fHxyeGoRSRfiogwtlAlrNJJ5Y1dMvfdlxjQadcOihbNm3GKiE20atWKffv24efnx+OPP07dJFsmEwIdv//+O7du3cLDw8P62C+//AJAKRskRB8zZgydO3dm6dKl1vmSs7MzNWvWpHPnzgwfPpzSpUvnqI9+/frRtm1bli5dyp49e/jnn3+Ijo6mdOnSNGnShO7du9O3b19cXBx2yikiIuIwTJY0aqE3bNgQk8nEnDlz6NKlS16PK13z589n5syZ1soPd6pcuTKzZs2iadOm2e4jJCSEUaNG8ccff6TZ5uGHH+Z///sfxYoVS7NNhw4drCVIM5LZAI+Xl5cCQSL5QWSkkRfn3Dkj342XFyT8exAfD0eOGMGcH3+EX36B9O7IV6qUGNB5+GH4b5uGiDima9eu0bVrV8xmM25ubgwbNozhw4fj6enJ2bNn6dOnDyaTiY4dO/Lee+/h7u7O8uXLmTlzJiaTifbt2ydLTlzYaK4jIiKSdQ53O2Xp0qXMmDEDADc3N7y9vbnnnnsIDw9n06ZN+Pv7ExAQwMiRI1mzZk22qoHFxsYmC+7cddddDBgwgAoVKnDu3DlWrVpFYGAg27Zt48033+SLL75I9TrBwcHW4E7Hjh0ZNGhQuv3aYtWRiOSRAweMYIzZbKzOKV7cSGw8fjycOWNsv7p+Pe3nFy0KHTokBnXuuUfbrkQKkIoVK/Liiy8yc+ZMbt++zddff03btm3x9PTkrrvuol27dvz666/s3r071Rtpd27rEhEREcmIQwV4AgICmDZtGmAsXV6yZAn169e3Pj5kyBBmzJjBggULCA4O5tNPP2X27NlZ7mfx4sXW4E6nTp2YNWtWsqSAw4YNY8SIEZw6dYoffviBfv360blz5xTXOXnypPW4Y8eOmdrSJSIOIDLSCMr8lysDgIREqu+/n/bzmjRJDOh06ABubrk5ShGxs1GjRlG0aFHmzJlDZGQk1atXtz72ySefMGjQoFRX+fbo0YNevXrl5VBFRESkAHCoMumLFi0iKioKgLFjxyYL7gCYTCYmTJhAixYtANi6dStnzpzJUh+xsbEsXLgQMEqZfvzxxykqPpQtW5aZM2fi7OwMwNy5c1O9VtLkiQ0aNMjSOEQkH/P1Tb/KVQJPTxgyBL79Fi5dgqNHYfp0owKWgjsihcLTTz/Nnj17mDZtGlWqVLGer1ixIr6+vnh7e1OhQgWKFClCnTp1eOONN5g+fbodRywiIiKOKsMVPGfOnLH51qGWLVtm+TkWi4VNmzYBUKxYMQYMGJBm2xEjRuDv7w/Axo0bGT9+fKb7+e2337hx4wZg3EErl0b54dq1a9OxY0d27tzJ0aNH+eeff6hZs2ayNgkBHpPJRMOGDTM9BhHJ586eTVyxk5quXeHTT41EyU4OFUcXERu5fPkylSpVwtnZGQ8PD/r27ZuiTdmyZZk8eTKTJ0+2wwhFRESkoMkwwDNz5kybdmgymfjrr7+y/LyzZ88SGBgIQIsWLSiaTkWZ1q1b4+TkRHx8PLt3785SgGffvn3W4/bt26fb9oEHHmDnzp0A/PTTTzz55JPJHk/YolW1atVkFTJExIHFxcHPP6f9uIcHPPUUNG+ed2MSkXxn0qRJnDx5kscff5xRo0bZezgiIiJSCGQY4EmjyFaeO3XqlPU4o+1OJUuWpGLFigQEBHDmzBnMZnOmy3OePn060/3cdddd1uMTd5Q8jo6O5u+//wawrt4xm82cOXOG69ev4+7uTu3atfH09MzUuEQkH4iOhuHDYfv2tNu4uBjVtESkUDt58iRBQUEEBwfbeygiIiJSSGQY9ahXrx6lS5fOg6Gk7/Lly9bjatWqZdi+SpUqBAQEYDabuXr1aqaeA3Dp0iXrcUYVuJI+nnR8YASKzP/l6KhQoQJTpkzB19eXsLAwaxuTyUSzZs0YM2YMDzzwQKbGJyJ2cvOmEbhJGtwpUsSohpVQRcvFxSiLnlAqXUQKrYT/7++99147j0REREQKiwwDPOPGjUu1fGdeCwoKsh6XKVMmw/alSpWyHoeGhmY6wJNwp83NzQ23DJKg3tlHUkkraC1btizV51ssFv744w+eeuopRo0axbhx4zI1RhHJY4GB0KsX/JfbC4CXX4YpU2DdOjh/HurUMQJACu6ICMaNpn///ZcrV67YeygiIiJSSDhM9s+E6llgJFnOSNIcPZGRkZnuJ6Ftejl+Uuvj9u3byR5LGuABePjhh1m8eDH+/v4cOnSIlStX0q9fP+vj8+bN47vvvsv0OEUkj1y4AO3bJw/ufPQRzJxprNoZOhTeecf4rOCOiPxn+PDhWCwWFi1aZN2yLSIiIpKbMpeYJh+IjY21HhcpUiTD9klLm5szU874jrZZ7SMuLi7ZYwEBAdbjt956K0UC5mbNmtGsWTOaNm3KRx99BMDnn39Oz549qVChQoq+Vq5cycqVKwEICQnJ5KsRkRw5dswoaZ5wB97JCebNg+eft++4RCTfe/zxxwkMDGTBggX079+fnj170qpVK+rWrUvJkiWTzSHSkrSsuoiIiEhGHCbAk3S7VNJgT1piYmKsx5kJ1iTt5/bt2znuY+7cuURFRXH9+nVq1KiR5jWeeOIJfvrpJ3755ReioqLw8fHhhRdeSNHO29sbb29vALyUwFUk9/36K/TpAwnbL11dYflyJVAWkUzp1asXYMwPoqKi8PPzw8/PL9PPz27VURERESm8HGaLlru7u/U4Ojo6w/ZJ22SUSye1fpIGbzLTR2rbxooVK5ZucCdB0oDN/v37MzNMEclNmzbBww8nBndKlIAtWxTcEZFMO3/+PH///bd1PmGxWLL8ISIiIpIVDrOCp2TJktbjOxMapyZptapy5cplqZ8bN24QGRlJdHR0url4stvHnerVq2c9vnbtWravIyI28P338PTTkLDtskIFI7hz3332HZdIQRMZCb6+cO4c1K1b4JKUt2zZ0t5DEBERkULGYQI8derUsR4nzW+TloSqFa6urpQvXz5L/Zw/fx6LxUJAQAC1atVKs23S0ugZlVRPj4uLw/wYRAq26dPh1VcTv65d2yh7ftdd9huTSEF04AB06wZmM0REGAnLR482/t4KSGBk8eLF9h6CiIiIFDJpRhamTJkCQOPGjfNsMOmpX7++9fjUqVPptg0LC7OuhKlXrx7Ozs6Z7qdevXps374dgNOnT6cb4Dl9+rT1uGHDhtbjq1evsm3bNoKCgqhUqRKDBw9Ot8+rV69aj1NLsCwiucxigTfegM8+SzzXtKmxcqdyZfuNS6Qgiow0gjtJV+PeumV87tYNAgIK1EoeERERkbySZg6e/v37079/fypVqpSX40lTjRo1rKtkDh48mG4S5H379hEfHw9A69ats9RPmzZtrMd79+5Nt23Sx5P2ExYWxkcffcS8efOYP39+hvvof/nlF+tx8+bNszReEckhs9nYkpU0uPPgg7B7t4I7IrnB19f4u0uN2Qw+Pnk7HhEREZECwmGSLAP07NkTgPDwcHzSmQAuWrTIetynT58s9dGqVSvrlq5169YRHBycartz586xZ88ewFhdlHSFUb169ahYsSJgbCfbsWNHmv1dvXqVVatWAeDk5MQjjzySpfGKSA5ERhp5P5L8m0G/fvDjj1C6tL1GJVKwHTqUuGLnThERcP583o5HREREpIBwqOQvw4YNY9myZdy+fZupU6fSqFEjmjZtmqzN9OnTOXToEADt27fP8hYzJycnnnnmGT799FMiIiIYP3488+bNS1bFKzg4mHHjxhH3XxLWkSNHprjG8OHD+ey/FQGTJk2iVq1a3HVHHo/r16/zwgsvcPPmTQCGDBlC9erVszReEcmmkBAjmJNkBR1PPw0LFoDyYonkjp074auv0n68eHFIknPPkXXp0iVHzzeZTNYt4yIiIiKZYbI4WB3ORYsWWfMDFSlShAEDBtC8eXMiIiLYuHEjBw4cAKBEiRL4+PikKFPu4+PDxIkTASMx8s6dO1P0YTabGTRoEMePHwegevXqDBo0iGrVqnH+/HlWrFhBYGAgAJ06dWLevHmYTKZk14iNjWXEiBH4+/sDRsn0Rx55hBYtWgBw9OhRfHx8uPXfXcz77ruPb7/9NlMl3b28vNJdwSQiGbhyBXr0gKNHE8+9+SZ88gnc8bcsIjZgscC0afDWW/DfFupUlS5dYHLwNGzYMMXcID13TsdMJhMnTpyw9bAchuY6IiIiWedwt6lHjBhBeHg48+bNIzY2luXLl7N8+fJkbTw9PZk7d26K4E5mubi48M033zBy5EiOHDnCxYsXmT59eop2HTt25PPPP091AlekSBEWLFjAm2++ybZt24iKimLlypWsXLkyRdtu3boxZcqUTAV3RCSHzpwxErleuJB4bvp0mDDBbkMSKdDCwuDJJ2HdusRzZctCTIxxnFBFy8XFqKJVAII7CbJ6D81kMlGnTh2t5hUREZFscbgAD8CYMWPo3LkzS5cuZf/+/QQGBuLs7EzNmjXp3Lkzw4cPp3QO82eULVuWFStW4Ovry6ZNmzh58iTh4eGUKFGCJk2a4OXlRa9evdK9hoeHB3PmzGHv3r34+Phw6NAhAgMDcXJyonz58jRv3pxHHnmEtm3b5misIpJJBw9Cz57w3wo8XFzg//4PnnjCvuMSKaiOHIHHHoOzZxPPtWsHq1ZBmTJGwuXz541tWV5eBSq4c/LkyQzbxMTEEB4ezunTp9mwYQN+fn4EBgbywQcfqOiCiIiIZJnDbdESLVsWyZadO+GRRxKTu7q5wZo1kEGgVkSyafFiGDnSSGaeYNw4Y6tWkSJ2G1Z+tnr1at599108PT3ZsGEDZcqUsfeQ7EZzHRERkaxzqCpaIiLZsmaNsXInIbhTpgzs2KHgjkhuiI6GUaNg+PDE4E7x4rByJcyYoeBOOgYOHEiLFi0ICgpi8eLF9h6OiIiI5ERkJCxbBh9+aHyOisr1LhXgEZGCbf58GDQoMd9H1arw88+grZEitvfvv9Chg/F3l6BhQzhwwPg7lAx1794di8WiCloiIiKO7MABqFLFWM08aZLxuXJl43wuUoBHRAomiwU++MBYSZCwE7VBA/jtN2jc2L5jEymItm6F+++H/fsTzw0aZHzdqJH9xuVgypYtC8Dly5ftPBIRERHJktu34cQJ8PODjh0hNNTYQWCxGJ9DQ41iL7m4kifLSZbnzJmTvY5cXHB1daVUqVJUqVKFxo0bU7JkyWxdS0QkXfHxMGYMfPll4rmWLWHzZvD0tN+4RAqi+Hj45BN4773EYKqLC3z2GYwdC1koFS5w9r+E1FkpsS4iIiJ5IDwc/vnHqMab2ueEQi7pMZvBxweGDs2VIWYrwGOLSYeTkxOdOnXivffeo0KFCjm+nogIYGzFGj7cyPeR4OGHjX9IPTzsNy6RgigkxKhCt2lT4rnKlY0qWe3b229cDury5cusWLECk8lEjRo17D0cERGRwsNiMeY16QVwQkJy3k9EhFFBNJdkq0x60sJbJpOJ7BTiiouLY8eOHRw8eJAlS5ZQt27d7AxFRCTRzZtGSeZt2xLPeXvD99+Dq6v9xiVSEB06ZPy9XbiQeK5jR1ixAipVstuw8osDmdxjbzabiYiI4NixY6xatYqQkBBMJhNdu3bN5RGKiIgUIhaLscImvQDOzZs568PFBapXN6r1nj5trNa5U/HiUKdOzvpJbwhZfcIvv/zC33//zejRo7l58yZubm707duXdu3aUaNGDdzd3YmMjOTSpUv4+/vj5+dHSEgILi4ujBkzhtKlSxMUFMS2bdv466+/CAkJYfz48axdu5YiqqwhItkVGAi9eydPXPbSSzBzJjgp3ZiITS1cCKNHGxWzErz2mrFVyyVb944KnCeeeCLbK57LlSvH8OHDbTwiERGRAiw+Hq5eTT+Ak1DdM7uKFoUaNaBWLahZM+XnKlXA2dnIsVO5spFz504uLuDllbNxpCPLs7DixYszceJEbt68SaNGjfjyyy+pXLlyinYNGjSgS5cuvPDCC4wbN469e/eyYcMG1q5di6urK6NGjWLWrFnMnTuXM2fOsGPHDnr06GGTFyUihcw//0D37nDqVOK5Dz6Ad95R/g8RW4qKMgKnCxcmnitRAhYtytXJiqPKzgrnGjVqMHPmTDy0pVRERCSR2QxXrqQM2iQc//tvYtXc7HJ3Tz1wk/C5YsXM3TguVswoPtGtmzHuiAhj5Y6Li3G+WLGcjTMdWQ7wfPfdd1y6dImyZcuycOFCypQpk277UqVK8eWXX9KrVy/Onj3L0qVLeeqppwAYM2YMO3fu5NSpU2zcuFEBHhHJuuPHjeBOQsUZkwnmzTNKEYqI7fz9NwwYYGzNStCkCaxdC/Xr229c+VT//v0z1c5kMuHq6kq5cuW49957eeCBB3DRKigRyS8iI8HXF86dg7p1jWB+Lr45lUIsNhYuXky58ibh+OJFiIvLWR8lS6YdvKlZ0yjGYqubwy1bGgEpX18j506dOnny95PlGcSPP/6IyWRi4MCBGQZ3Eri7uzNgwADmzJnDhg0brAEegB49enDy5Elr1QgRkUz77Tfo0ycx4ZmrKyxdarwJFRHb2bwZhg1Lnlxw6FD46ivjjpSkMGXKFHsPQUQkZw4cSLkCYfRoYwVCy5b2Hp04mqgoY5VNWitwrlwxtlnlRNmyaQdwatWC0qVzdv2scnPLtWpZaclygOeff/4BjC1YWVHnv0RCF5ImYwTr9q7AzJQUExFJsHmzEchJ2Evr4QHr1kHnzvYdl0hBEhcHkyfDhx8mnitSBGbMgBdf1BZIG7FYLCqLLiJ5Ly7OyGF45QoEBCT/uHTJmGslXTFx65bxuU0baNUKSpUy5l8lSiR+Tnqc3rmiRfV/SEETEZF+/purV3PeR4UK6a/AKVEi5304uCwHeOL/i6qFh4dn6XkJ7e+cwDj9t4ctNjY2q0MRkcJq8WJ46qnESUf58vDDD9C8uX3HJVKQ3LgBjz9u3KlNUK0arF5tTO4l037//Xf8/PwYMWJEihtkt27d4qGHHuKBBx5g2LBhtGrVyk6jFJECIzYWrl1LPXCT9Ny1a9lbMREfD/v25WyMLi7ZDw6ldq54cQWMcltYWPoBnBs3cnZ9k8lIUpwQrLkzgFOjhpEjR9KV5QBP9erVOXv2LD/++CODBw/O9PO2/jdBrFKlSrLzAQEBAJne7iUihdznn8MrryR+XauW8Qa0Xj27DUmkwDlwwFgh9++/iee6dIHly42AqmRKdHQ0r732Gtu2bQOgTZs2KQI8ly5d4tatW2zbto1t27bh7e3NpEmTtKJHRFKKikoZsLkzaBMQYLzRzkaS9zxlNhsVhlKrMpQdJpMR5LFVwMjDo3BVhbRYIDg4/QBOTn9WTk5GCfG0tk9Vq2as7JIcyfJv7YMPPsiZM2fYt28f3333HU8++WSGz1m5ciW//fYbJpOJDh06JHtsy5YtmEwm6itBo4ikx2KBiRNh6tTEc/fcA1u2GNF+Eck5i8XIqzNmTPJKFG+/bWzVcna239gc0Lhx4/jpp5+s1bQuXryYok1MTAxVqlThypUrgDFncnZ25t13383TsYqIHd26lbnATdI8aLZSrpxRzjnho0oV4/O5c/D116mXlXZ3N262tWljjP3mzcTPSY/TO2fr3RsWi3HthG1ktlCsmO0CRiVKGLkibR28z2wSbIsFrl9PP4CT0+9dkSLGKpu0AjhVqxauoBnYJUm5yZLFGp7Xr1+nR48eRP73x96nTx+efvppGjVqlKLtyZMn+f777/H19cVisVC8eHE2b95MxYoVuXbtGl9++SWrVq3CZDLx3nvvMWTIENu8qgLOy8sLHx8few9DJO+YzUZVrP/7v8Rz7dvDhg15nyxNpKC6fRtGjYLvv088V6qUsSWyb1/7jctB7dy5kxdffBGTyUS5cuV466236Nq1K66urqm29/f357333uP8+fOYTCaWL19Os2bN8nbQ+YjmOuLwLBZjS0tGQZuAACPgYUsmk5Gr5M6gzZ0flSqlvWIiKspok9qqjdKljXHn5I1qdHT2g0OpnUstEJXfuLjYNmCUUEk2IQm2u7uxSua114y+kgZw/v0359+jYsXS3j5Vq5bx+6QbQYlSS1KeUCY9F5OUZznAA/Dbb78xcuRIYmNjrUuIS5QoQdWqVSlatCiRkZFcuXKFW/9FAS0WCy4uLkyfPp3u3bsD8OGHH7Js2TIAKlWqxJYtWyiqJVmZokmPFCqRkTB4MKxfn3iub19YudLITC8iOXf2LDz2GBw5knju3nuNEuh169pvXA7s5ZdfZtu2bXh4eLBx40YqVaqU4XOuXbtGz549iYyMpF+/fkxNumKxkNFcR/ItiwWCgjIO2gQE2D7o4OxsvIlOL2hTpYoR3LHFSgk7vUHNloQx2ipgdOtW/t/mZmvFi6dfgapCBeU5yqzISONvMbcCpOnI1l/+Aw88wMKFC5k8eTLnzp0DjCTKN5NEn5PGjapXr85HH31E69atrecuX76MxWLB09OTOXPmKLgjIimFhkK/fvDzz4nnRowwlgwXtiWeIrll/XoYPty405xgxAiYO1dB1Bw4cuQIJpOJIUOGZCq4A1CxYkUGDRrEokWL8Pf3z+URikgyCRWlMhO4sfX2IlfXjIM2lSuDp6exQiOvtGxpfA98feH8eahTJ0+2mGSLi4ux6rRUKdtcz2IxVrZmNzh052M3bxpBKHsqXTrt4E3NmkaJcQVwbMPXN+2ft9kMPj65Vj492++QWrVqxfr16/nhhx/Yvn07v//+OyFJ9oV6eHjQrFkz+vTpQ69evVIsSW7Tpg1dunShR48elFA5MxG5U0AA9OiRfEXB66/Dp5/qPx8RWzCb4b33YMqUxHOurjBnDjz7rP7Ocig4OBggRVLljDRs2BCAwMBAm4zj+PHjLF68mP379xMYGIi7uzvVqlWje/fuDB48mJIlS+a4j+DgYFauXMkvv/zCuXPnuHXrFu7u7lSvXp127drx+OOPU7FiRRu8GpFsSKgolVHQ5tq15CXBbcHdPe3ATdJzZcrk339z3dxy7Y1ovpaQtLl4cdtdMzo6Z6uKkh6HhKQfMHrgAWMFfNIAjq2CX5Kxc+eMFWWpiYgwAqa5JEe3wJ2dnenTpw99+vQBjFLnISEhuLm5ZRi0GTFiRE66FpGC7MwZY0nwhQuJ5/73v+TVs0Qk+65fhyFDYOfOxHM1a8KaNdCihf3GVYCUKFGCkJAQa87CrEorV09WzJ8/n5kzZxKfpAxyTEwMoaGhHDt2jGXLljFr1iyaNm2a7T62bNnCO++8k2wVN0BYWBhhYWEcO3aMRYsW8f777+Pl5ZXtfqQAy24S0qgouHo1/cDNlSu5U1GqZMmMgzaVKxt5UvJr4EbyXtGixoenZ86vtWyZkZ8ytcTIHh4wenThDMzlF3XrGsHB1H4+xYsbq+FyiU33OBQpUoQKFSrY8pIiUtgcOgQ9expvQMHYb/5//2dsIRGRnNu3zyiBfvly4rnu3WHpUqOaithElSpVCAkJYd++fQwcODDTz9u/fz8AlStXzlH/S5cuZcaMGQC4ubnh7e3NPffcQ3h4OJs2bcLf35+AgABGjhzJmjVrqFq1apb72LVrFxMmTCDuv1UPbdq0oWvXrnh6ehIcHMzOnTv55ZdfiI6OZuLEibi4uNCvX78cvS4pYFLL8TJ6NCxcCOXLpx20yauKUmmtvnF3t33fIlnh5WX8raTGxcV4XOzHjj+fHAd4YmNj8ff35/DhwwQFBREREYG7uzsVK1bk7rvvplWrVja5CyUihcDOnfDoo4nVJNzcYPVq6N3brsMSKRAsFvjyS5gwITF/hMlkbNN6911VvrCxDh06cOzYMbZs2cLQoUNp3rx5hs85ceIE69evx2Qy0aZNm2z3HRAQwLRp0wAoVaoUS5YsoX79+tbHhwwZwowZM1iwYAHBwcF8+umnzJ49O0t9REZGMmnSJGtw54MPPsDb2ztZm8cffxw/Pz/efPNNLBYLH3zwAQ8++CBlypTJ9muTAiQy0gjuJE1CmnC3+7HHbNfPnRWl0grcpFdRSiS/KVbMSHadVhLs/JgnqTCx488nRwGexYsXs2DBAoKCgtJsU7JkSV544QWeeuqpnHQlIgXd2rXGUtKYGOPr0qVh0yZjD7GI5ExEBDz/vLGkO0GZMsaqnZ497TeuAszLy4sFCxYQHx/PCy+8wNtvv02/fv1wSiVBqsViYcuWLXz44YeYzWZcXFwYmoOl9YsWLSIqKgqAsWPHJgvuAJhMJiZMmMDBgwfx9/dn69atnDlzhnr16mW6j+3bt3Pt2jUA+vXrlyK4k+DRRx/l8OHDLF++nJs3b7JhwwaGa0WmQPpJSDMjaUWp9FbbVKyowgxSMDlSEuzCyE4/n2z9a2c2mxk/fjzbt28HklfMulNYWBjTpk1j3759fPnll7joH1gRudOCBTBqVOIe+SpV4McfoUkT+45LpCA4fdqYUBw/nniueXMj306tWnYbVkFXrVo1JkyYwGeffcatW7eYOHEin332Gc2aNaNq1aq4ubkRGRlJQEAAf/zxB0FBQVgsFkwmE88//zy1a9fOVr8Wi4VNmzYBUKxYMQYMGJBm2xEjRlirdW3cuJHx48dnup9ffvnFevxYBqstevfuzfLlywE4fPiwAjxiSC8JKUC1asYbpLRy3eR1RSmR/KiwJsF2FHb4+WQr2vLJJ5+wbds2wLgL9OCDD9KuXTuqV6+Ou7s7ERERXLhwgd9++429e/disVjYs2cP06dP54033rDpCxARB2axwEcfGVtEEtSvbyxdrFnTfuMSKSh8fIyS50kT4D73HMyapTt8eeCZZ54hJCSEb7/9lri4OIKCgtiZNLF1Egk3y0aMGMGYMWOy3efZs2etFbhatGhB0XS2nLRu3RonJyfi4+PZvXt3lgI8xYsXp1atWly/fp06GSSLLF26tPU4LCws031IAZdeElIPD5g6VW9cRUSyKMsBnpMnT7J8+XJMJhOVKlVi5syZaVZfePbZZ/nzzz8ZP348V65cYdGiRQwYMIC6devmeOAi4uDi42HsWKMkc4IWLWDzZiOxoohkn9kMEyca1ecSFCsGc+eCtkznqVdffZUePXqwcOFCfv75Z26l8mbWxcWFdu3a8eyzz9KyZcsc9Xfq1CnrcUYl2kuWLEnFihUJCAjgzJkz1u1hmfFe0sB8Bk6fPm09Vv4dsVKSWBERm8tygGfVqlVYLBaKFi3KN998k2Gw5t577+Xrr7+mf//+xMbGsmbNGq3iESnsYmLgySdhxYrEc127GqsNSpSw37hECoKrV8HbG/bsSTxXu7aR5+q+++w3rkKsSZMmzJgxg9jYWM6dO8eNGzcIDQ2lWLFieHp60qhRo3RX2mTF5STV0apVq5Zh+ypVqhAQEIDZbObq1auZek5WrUjyb/39999v8+uLg1KSWBERm8tygOf333/HZDLRr1+/TK/EqVu3Lo8++iirVq3i999/z/IgRaQAuXXLqI6xdWviOW9v+O47Va8Qyamff4ZBg4wgT4LevWHxYiOpsthVkSJFaNiwYYrz6eUyzKqkhS8ys1qmVKlS1uPQ0FCbB3g2bNhgLf3u7u5Ojx49bHp9cXBKEisiYlNZzkx29b9JY2bKfSaVcMcm6Z0lESlkbtyALl2SB3dGjzYq+Si4I5J9FgvMmAGdOiUGd0wmI8fV+vUK7tjZ77//zsSJE5Ntn0pw69YtWrZsyZgxY6yBkJxIqJ4FRpLljCRdORQZGZnj/pP666+/km3levbZZylbtqxN+5ACICEJ6TvvGJ8V3BERybYsr+Ax/1fOsEiRIll6XkL76OjorHYpIgXBv/8ay7CTvsGZPBnefdd4Iyoi2XPzJjzzDKxenXiuXDlYvhwefth+4xKio6N57bXXrIUp2rRpkyIvzqVLl7h16xbbtm1j27ZteHt7M2nSJEzZ/HcxNjbWepyZuZqrq6v12JyTktV3OH36NE8//TS3b98GoFWrVrzwwgvpPmflypWsXLkSgJCQEJuNRUREpLDI8gqecuXKAaR6Fyo9Ce1150akEPrrL3jggcTgjslkJHt97z0Fd0Ry4q+/oFWr5MGdVq3g0CEFd/KBcePGsW3bNiwWCxaLhYsXL6ZoExMTQ5UqVaxtVq5cyUcffZTtPt3c3KzHSYM9aYmJibEeZ/XmXVr++OMPhg0bZg3S1K5dm5kzZ+Ls7Jzu87y9vfHx8cHHx0fJmEVERLIhywGee++9F4vFgo+PT6qVIFJz69YtfHx8MJlMNGvWLKtdiogj27sX2reHhO2Zrq6wciWMGmXfcYk4upUrjWDOyZOJ51580UiuXKOG/cYlAOzcuZNdu3YB4Onpyeeff87zzz+fol3Tpk3ZuXMnS5YsoU6dOlgsFpYtW8bhw4ez1a+7u7v1ODOrppO2SRocyq4ff/yRp556yloOvXbt2nz33Xe6wSciIpIHshzg6devH2Ak8RszZkyGQZ5bt24xZswYbty4AUCvXr2yMUwRcUg//GDk3ElYau/hYZRBHzjQvuMScWQxMTBuHAwebFSdASOHxeLF8OWXymeVT/j6+gJQvHhx1qxZQ69evZJth7pTixYt+Pbbb60BmuXLl2er35IlS1qPQ0NDM2yfEIiBxFXa2fXVV18xduxYay6fxo0bs2zZMipWrJij64qIiEjmZDnA06lTJ5o3b47FYmHv3r307t2br776iqNHjxIeHk5sbCzh4eEcPXqUr776it69e7N3717r6p2uXbvmxusQkfxmyRLo1w8SknaWLw8//WQEfEQkey5fNhIpz5yZeO6uu+D332HYMPuNS1I4cuQIJpOJIUOGUKlSpUw9p2LFigwaNAiLxYK/v3+2+q1Tp471OCAgIMP2V65cAYxcPOXLl89Wn2azmYkTJzJ9+nRrRbAHH3yQxYsXa+WOiIhIHspykmWA6dOn88QTT3Dx4kWuX7/OjBkzmDFjRprtLRYLVapUYWbSCamIFFwzZsCECYlf16xpVM6qX99+YxJxdLt2Gat2rl9PPPfoo7BoESQpdS35Q3BwMECKpMoZSSijHhgYmK1+6yf5dzajfIlhYWFcu3YNgHr16mWYIyc1MTExvPzyy/z000/WcwMHDuT999/HxSVb00wRERHJpiyv4AGoVKkSK1asoGvXrtakgOl9dO7cmTVr1lChQgVbj19E8hOLBSZOTB7cadIEfvtNwR2R7LJYYNo06No1Mbjj5ARTp4KPj4I7+VSJEiWA7JceT287V3pq1KhB1apVATh48GC6iZb37dtHfHw8AK1bt85yX2azmTFjxiQL7owbN46PPvpIwR0RERE7yPb/vuXKlWPOnDmcOnWKnTt3cvjwYQIDA4mIiMDd3Z3y5ctz77338vDDDye7myQiBZTZDCNHwv/9X+K5du1gwwZQNRSR7AkLgxEjwM8v8VyFCkaC5YcestOgJDOqVKlCSEgI+/btY2AW8o7t378fgMqVK2e77549e/LNN98QHh6Oj48P3t7eqbZbtGiR9bhPnz5Z7mfGjBnWRNJOTk5MnjyZQYMGZWvMIiIiknM5vr3SoEGDLC8/FpECJjIShgyBdesSz/XpY7wJTVLRRUSy4OhReOwxRxwaqAAAYRZJREFUOHMm8dwDD8CqVfDfCg3Jvzp06MCxY8fYsmULQ4cOpXnz5hk+58SJE6xfvx6TyUSbNm2y3fewYcNYtmwZt2/fZurUqTRq1IimTZsmazN9+nQOHToEQPv27WncuHGW+vD392fhwoXWrydOnKjgjoiIiJ1p/ayI5ExoqJFM+eefE8+NGAFffw1aoi+SPUuWwPPPJyYpBxg7Fj77DIoUsd+4JNO8vLxYsGAB8fHxvPDCC7z99tv069cPJ6eUu+MtFgtbtmzhww8/xGw24+LiwtChQ7Pdd+XKlRk7dixTpkwhIiKCoUOHMmDAAJo3b05ERAQbN27kwIEDgLGVbNKkSSmu4ePjw8SJEwGoWrUqO3fuTPb4zJkzrQmVa9WqRZUqVdi+fXuGYytdujQtWrTI9msTERGRtOndl4hkX0AA9OgBR44knnvtNSM3iMlkv3GJOKroaCOH1dy5ieeKF4dvvjESLIvDqFatGhMmTOCzzz7j1q1bTJw4kc8++4xmzZpRtWpV3NzciIyMJCAggD/++IOgoCAsFgsmk4nnn3+e2rVr56j/ESNGEB4ezrx584iNjWX58uUpSq97enoyd+5catSokaVr//PPP9atZAAXLlxg9OjRmXpuq1atWLx4cZb6ExERkcxJM8DTJZdKGZtMpkzd4RGRfO7sWejWDf7+O/HcZ5/Bq6/ab0x5LTISfH3h3DmoWxe8vKBYMXuPShzVxYswcKBR8jxBw4awdi3cfbf9xiXZ9swzzxASEsK3335LXFwcQUFBKVbCJEhYDTNixAjGjBljk/7HjBlD586dWbp0Kfv37ycwMBBnZ2dq1qxJ586dGT58OKVLl87ydU+cOGGT8YmIiIhtmSwJM4o7NGzYEJON78An3JnSxCBnvLy88PHxsfcwpDD74w9j5U5CRR9nZ1i4EJ580r7jyksHDhgBLrMZIiKMVRYuLkY5+JYt7T06cTTbtxt5rG7cSDw3YICRtPy/akziuI4dO8bChQv5+eefuXXrVorHXVxcaNeuHc8++ywt9e8HoLmOiIhIdqS7RSuN2I+IFGY//WTk3Ll50/i6WDFYvdpIqlxYREYawZ3Q0MRzCW/aunUztq5pJY9kRnw8TJkC775rlEMHI2D62Wcwbpy2OhYQTZo0YcaMGcTGxnLu3Dlu3LhBaGgoxYoVw9PTk0aNGlG0aNFkzzl16pSKWIiIiEiWpBngOXnyZF6OQ0QcgY+PscogJsb4unRp2LjRKIdemPj6GrlSUnPrFkycCB99ZKzqEUlLSIix6m3DhsRzlSoZVbIefNB+45JcU6RIERo2bJjm4zExMfzwww8sX76cI0eO8Ndff+Xh6ERERMTRKcmyiGTOV1/BqFHGigOAKlXgxx+hSRP7jiuvBQbC9OnJqxslZTbDF1/AvHnQtaux2qlPH+P7JZLg8GGjBPr584nnOnSAlSuNII8UKv/88w8rVqzA19eXsLAw65Z2ERERkaxQgEdE0mexwCefwDvvJJ6rV8/INVOrlt2Glefi4ozS72+9Zay8yEh0NGzaZHyAkZenXz945BEjKKY3b4XXokVGsDQqKvHcq68af2cqgV5oxMXFsX37dlasWMHvv/+OxWJRYEdERERyRAEeEUlbfLyRB2T27MRzzZvD5s1QoYLdhpXnDhyAF18Ef/+M2xYrZlTUOn485TUOHDByrdSqZQR7+vUzVm3oTX3hEBUFY8YYgcIEJUrAt98aq3mkULh69SorV65kzZo13PgvqXbSnIdFixalW7duPKbfCREREckiBXhEJHUxMTBiBCxfnniuSxcj/0xhqeoTHGys2Pnqq8QEuAB16sDLL8PkyWlX0fr7byO3yrp1sHu3sQIowYULMGuW8VGqFPTqZQR7evQw8hpJwXPhglEV6+DBxHN3323ktVIi3UJh9+7drFixgj179hAfH5+ikMW9997LY489Rq9evfDw8LDTKEVERMSRpVkmXfIvlQ6VXHfrlrGiYOvWxHMDB8LixXBHpZcCKT7e2EbzxhvJy1YXLWokUH79dXBzM/Lw+PoaeVTq1AEvr9SrZ4WEwJYtsH69sfopPDz1fl1coGPHxNU9hWkLXEH2ww/w+OPJt/YNGWIEDvVGvkALDg5mzZo1rFy5kitXrgDJV+uYTCaeeuopHnvsMerWrWuvYeZLmuuIiIhknQI8DkiTHslVN25A796wf3/iuRdfNFabODvbb1x55fBh4/Xu3Zv8fK9exvcgp2/CYmJgzx4j2LN+PfzzT9ptmzZNDPY0bw5OTjnrW/JWfDx88IHxkfBfbZEi8PnnMHq08jAVYPv372f58uVs374ds9kMJAZ2XFxcqFChAleuXMFkMnHixAl7DjXf0lxHREQk67RFS0QS/fsvdO8OJ08mnnv/fXjvvYL/ZjQszMiP8+WXiZXCAGrWhJkzjSCLLb4Hrq5Gda2uXY3rHj2aGOw5cCB52yNHjI+PPoLKlaFvX2McXbqkvlJI8o+gIBg2zFi5laBqVVi9Gtq2td+4JNfcvHkTHx8fVq5cyd9//w0kX63TqFEj+vfvT9++fVm9ejWff/65vYYqIiIiBZQCPCJi+OsvI7hz6ZLxtckEc+YYq1kKMosFli41qhhdu5Z4vkgReO01ePttcHfPnb5NJmOVTtOmRpWyy5dh40Yj2LNjh1GJK0FAgLGl56uvjPF0724Ee3r3hvLlc2d8kj3+/ka+naSrszp3NvJZFabk5IXEkSNHWL58OVu2bCHqv8poCYGdsmXL0rdvX/r370/Dhg3tOUwREREpBBTgERHYt88IFAQHG18XKQJLlsCgQfYdV247ftzYKrN7d/LzXbsawa28Tn5btSqMHGl83LoF27YZwZ6NG5PnArp928j94+trBIkeeMAov96vnxL22pPFYlTIevllYytegokT4cMPC8cWx0Jo0KBBmEwma1CnaNGidOzYkUcffZQOHTrg4qKploiIiOQNzTpECrsffjBWG9y+bXzt4WEEDrp2te+4ctPNm0YFrJkzjSpYCapUgRkzjITS9t6S5uEB/fsbH3FxRk6ghK1cp04ltrNY4NdfjY/XX4f69RPz9jzwgIIKeSUy0ljttmhR4rlSpeC774zgmxR45cuXZ/To0fTr1w/33Fr1JyIiIpIOZewUKcyWLjUCAQnBHU9P2LWr4AZ3LBZYtQoaNoTp0xODOy4uxhatkyeNVUv2Du7cydkZ2reHadOMMZ48aRy3b58y8fLp0/C//0GHDlCxolHq3sfHWBEkuePcOSOvTtLgTtOmxlYtBXcKjRs3bvDhhx8yfPhw5s+fz7lz5+w9JBERESlkFOARKaxmzjSSwCYEOWrWNFaBtGhh33HlllOnoFs38PaG/8oVA0ZZ8sOH4bPPoEQJuw0vSxo0MPID/fwzXL1qBBa8vKB48eTtgoKMFSSPPQblyhmVwObPN3L9iG1s2GBUOPvzz8Rzw4cbK67uust+45I88+abb1KvXj0sFgtxcXEcP36cmTNn0qdPH7y8vFiyZAkhISH2HqaIiIgUAgrwiBQ2Fgu89RaMG5d4rkkTI7hTv77dhpVrIiKM13vPPbB9e+L5ihWNPEO7dkHjxvYbX06VLw9PPglr1xp5ejZtMnL4VK6cvF1MjLEdb9QoqFYNWrY08sL8+WdiCW/JvLg4IwF3v35GBTYwKqTNn28E3LRFp9AYMWIE69evZ/Xq1Xh7e1OiRAksFgsWi4UTJ07w8ccf06FDB1566SV27NhhLZsuIiIiYmsmi0Uze0fj5eWFj4+PvYchjshshhdegIULE8+1a2esQihTxn7jyg0WC6xbB2PHGuXfEzg5wUsvwQcfGDlSCqr4eDh0yMjZs26dUW49LTVqGIGKRx4xtna5uubdOB1RYCAMHZo8YFijBqxZYwTOpFCLiYlhy5Yt+Pj48Pvvv1uTL5v+2/pZunRpKlasyMmTJzGZTJw4ccKew823NNcRERHJOgV4HJAmPZItUVEwZAj4+SWe693byElT0FYbnDsHY8bA5s3Jz7dtC3PnQrNmdhmWXV24YATy1q+Hn35Knlw6qZIloWdPI+DTs2fBC/zl1O+/G0nJL11KPNetm5HPytPTfuOSfOny5cusXbsWPz8/riTZGppQdctkMjF69Gj69u1LzZo17TjS/EdzHRERkaxTgMcBadIjWRYWZqzOSFoO/MknjZLORYrYb1y2FhkJU6fCp59CdHTieU9PIynxk0+mTEpcGIWFwZYtxsqezZsTtxjdycXFWNGTUJWrdu28HWd+YrHAvHnG1sbY2MTz771nfKhamaTDYrGwd+9e1q5dy/bt24n+798nU5KE7vfccw+PPPIIPXv2pGzZsvYaar6huY6IiEjWKcDjgDTpkSy5ehV69EieBPbVV42AR36rFpUTmzfDyy/D+fOJ50wmIx/Nxx+D3jClLjbWSNacsJXrwoW02zZpkhjsadmy8ATLIiKMrY1LliSeK1PG+LpXL/uNSxzSzZs3Wb9+PT4+Phw/ftx6PiHY4+zsTLt27XjkkUfoVYh/vzTXERERyToFeByQJj2SaefOGdtHkgY9pk0zKjAVFP/8Y+TZWbcu+fkWLYztWMqJknkWCxw7ZgR71q+H/fvTblupEvTtawR7unQBN7e8G2deOn3aqEJ27FjiufvuM5JaF+YVTWITp06dYs2aNWzcuDFFpS0nJyf++usvO43M/jTXERERyToFeByQJj2SKX/8YeRQuXbN+NrZGb75BkaMsOuwbCY6GqZPh48+MrZmJShTBqZMgWef1baZnAoIgI0bjeDZ9u3Jt70l5eZmBBIfecTI61ShQt6OM7f4+hp/L+HhieeeeQbmzIFixew2LCl4YmNj2bFjBz4+Pvz666/ExcUV+gTMmuuIiIhknQI8DkiTHsnQTz8Zb7YT3pgWK2YkU+7b167Dsplt24xKWKdPJz//9NNG/p3y5e0zroIsIsL4vq9fbwR9AgNTb2cyGcmsE7ZyNWzoeFsBzWajBPq0aYnnihaFL780AjwiuejatWv4+vri6+vLjz/+aO/h2I3mOiIiIlmnAI8D0qRH0uXra1TLSlhtUaqU8Ya8fXv7jssWLl2CCRNg9erk55s1M7ZjtW1rl2EVOnFxRjWphLw9J0+m3bZevcRgzwMPGImb87Nr12DwYCNImqBWLWNL1v3322tUIoWO5joiIiJZV0gyZIoUEt98Y5RwTgjuVK5sJNB19OBObCz873/GapCkwZ2SJWHWLDhwQMGdvOTsbARrPv0UTpyAU6eMn0+HDikTL585Y2yl69gRKlaE4cNhzRq4edM+Y0/Pr78a+XWSBnd694aDBxXcEREREZF8TwEekYLAYoFPPoHnnoP4eONcvXrw229wzz32HVtO7d5trNB57TVjm1CCYcOMwMLLL+f/VSEFXf368Morxs/q+nX47jsjMXHx4snbBQfD4sUwcKBRur5nT6P0+KVL9hl3AosFvvgCHnrIyDsExrayDz80VimpApuIiIiIOAAFeEQcXXw8jB9v5AxJcP/98MsvxtYSR3X1qhHEeeghSFpJpnFjI5CweLFRyUnyl3LlElfp3LgBP/wAo0ZB1arJ28XEwJYt8OKLUL06NG8OH3wAhw8bAZe8cvOmsSVr/Hgj907Ca9iyBd55p/CUghcRERERh6eZq4gji4mBJ56AmTMTz3XuDLt2OW4lI7PZeD0NGsDSpYnnPTyMbUB//GFsBZL8r1gx6NHDyI908SL4+8N77xkrsu506BBMmmRskapZ00iivXWr8TueW06cgNatjQTkCVq2NMbSrVvu9SsiIiIikgsU4BFxVBERRuLaZcsSzw0YAJs3G7lpHNFvv0GLFjBuXPLS1N7eRiLfV16BIkXsNjzJAZPJWKUzebIRpPvnH6Pc+MMPp/yZXrxoVKzq3t3YyjVokBHsCw623XhWrYJWrYwgT4JRo4ycVTVq2K4fEREREZE8ogCPiCMKCoIuXSBpCd0XXoAVK4xyzo4mMNAocd6uHfz5Z+L5Bg2M0twrVqTc4iOOrUYNGD3aWKUTGAgrV8Ljj0Pp0snb3bxpJNYeNsxYldapE8yYAefOZa/f2FhjO5a3N9y6ZZxzc4PvvzdWGjni34+IiIiICArwiDieixfhwQeNMtUJJk0y3pw6O9tvXNkRFwfz5xuBnG+/TTzv5mYkjf7zT+ja1X7jk7xRqpSxSmfJEiNJ865dxiqu2rWTt4uLMypcTZgAd90FTZrAW2/Bvn2JycXTc+WKESD64ovEc3fdZTz/iSds+IJERERERPKeSs+IOJITJ4zcIAlVh0wmmD3bWAnhaA4cMBLs+vsnP9+/v/EGXNtkCqciRYzE2g89BJ9/biTYXr/e+Ni3L3nb48eNjylTjBLsffoY2xa7dgV3d4iMBF9fY7VPTAx89ZURQErwyCOwaFHKVUMiIiIiIg5IAR6R/CzpG9SEUs4hIcZjRYoYlaS8ve06xCwLDjZWXXz1VfJqSXXrGsGqnj3tNzbJX0wmo2pa48YwcaJRWW3jRiPYs20bREUltr12DRYuND7c3IxcTgcPGteIiEh+XScnY4XYa6+pSpaIiIiIFBgK8IjkVwcOGKt1zObEXCEJihc3Aj8PP2yfsWVHfLyxDeuNN4wcQgmKFjXevL/xhlF1SSQtlSrBs88aH7dvw/btRrBnw4bkK3MiI41kyakxmWDTJqO6l4iIiIhIAaIAj0h+FBlpBHdCQ1M+ZjLBli3Qvn2eDyvbDh82tmPt3Zv8fO/eMGsW1Kljl2GJA3N3N7Zj9etn5ObZvz9xK9dff6X/PFtW4xIRERERySe0Nl0kP1qxwgjypMbNDf79N2/Hk12hoTBmjFEeO2lwp2ZN8PMzVl4ouCM55ewMbdsauXiOH4exY9Nue/s2nD+fd2OTtEVGwrJl8OGHxuekW+5EREREJMu0gkckPzl/Hr780qiIFR2depvIyPz/BtViMSoivfaakRslQZEixrm33zZWUojkhlatwMMj5dZGMLY3Kqhof0m3oEZEGD+X0aNh61Zo2dLeoxMRERFxSFrBI2JvFouRMLZfP6Nk8+efp38nO7+/QT12zKiANHx48uDOww8bj338sYI7kru8vMAljfsXLi7G42I/Sbeg3rpl/Bt465bxdbduWskjIiIikk0K8IjYy82bxmqdu+823tRs2JC8qlRa1X3y6xvUmzfh1VehWTPYsyfxfNWqsGoV/Pgj1K9vt+FJIVKsmLESpHRpYyWPyWR8Ll3aOK9k3vbl62us3EmN2Qw+Pnk7HhEREZECQlu0RPLamTNGYOfbbyE8POXjPXrAyy9DuXLGcdItDC4u+e8NqsViBHAmTIArVxLPu7jA+PHw3nvGm2uRvNSypfH76OtrbGmsU8cIjOanv53C6ty5lKXrE0RE5P8tqCIiIiL5lAI8InkhPt5YwTJ7NvzwQ8rHS5SAESOMHBQNGiSez+9vUE+eNIJR27cnP9+xoxHEatzYPuMSASMh+dCh9h6F3KluXSNgrRxJIiIiIjalAI9IbgoPh0WLYM4cY+XOnRo0gJdeMvLVlCyZ8vH8+gY1IgI++gimT4fY2MTzFSsa54YONbbFiIjcycvLCGanJr9uQXVgx48fZ/Hixezfv5/AwEDc3d2pVq0a3bt3Z/DgwZRM7f8eG5g+fTpfffUV/fv359NPP82VPkRERCQ5BXhEcsPJk0ZQ57vvUt6lNpmgVy9j5cvDD6edayc/sliM8ubjxiUv1e7kZLyeyZOhVCl7jU5EHEFCjqQ7q2jlxy2oDm7+/PnMnDmT+Ph467mYmBhCQ0M5duwYy5YtY9asWTRt2tSm/e7bt4+FCxfa9JoiIiKSMQV4RGwlPh42bza2YW3dmvLxkiXhmWfgxReNalmO5uxZGDMm5RazBx4wyrrfe699xiUijkc5knLd0qVLmTFjBgBubm54e3tzzz33EB4ezqZNm/D39ycgIICRI0eyZs0aqlatapN+jxw5wksvvURcXJxNriciIiKZpwCPSE6FhsL//Z+Rcya15KCNGhmrW554wjGTDUdGwqefwtSpEB2deL58eZg2zdhe5kirkEQkf8ivW1ALgICAAKZNmwZAqVKlWLJkCfWTVDEcMmQIM2bMYMGCBQQHB/Ppp58ye/bsHPe7fv16Jk2axO3bt3N8LREREYcXGWnczDp3zshBmAc3sxTgEcmuv/4yVut8/z3cOZk1maBvX2PFS+fOjpuPZtMm4zUkDVyZTPDCC/Dxx1CmjP3GJiIiqVq0aBFRUVEAjB07NllwB8BkMjFhwgQOHjyIv78/W7du5cyZM9SrVy9b/YWGhjJ9+nRWrVqV47GLiIgUCAcOpNyOPnq0sdOjZctc61YBHpGsiIuDjRth1izYuTPl46VLw7PPGtuwatfO8+HZzIULRp6ddeuSn2/Z0tiO1aKFPUYlIiIZsFgsbNq0CYBixYoxYMCANNuOGDECf39/ADZu3Mj48eOz3N/ixYuZNWsW4eHhAHh4eODt7a0cPCIiecEOK0TyTFycUczFVh8xMba9Xnof0dFGsZ2kEvKydusGAQG59nNSgEckM4KDYeFCI7hx4ULKx5s0MVa6PP44uLvn+fBsJjoa/vc/Y3VOZGTi+TJljG1azz6r7VgiIvnY2bNnCQwMBKBFixYULVo0zbatW7fGycmJ+Ph4du/ena0Az7fffmsN7rRp04aPPvqIK1euKMAjIpLb0lohsnGjkRvTEQIh6fVlsdj7O5w7zGbw8cm1beoK8Iik5+hRYxvWkiXJAx5gBDoefdTIr9Oxo+Nuw0qwbZtRsv306eTnn3nGCO54etpnXCIikmmnTp2yHjdo0CDdtiVLlqRixYoEBARw5swZzGYzLi5ZnxrWqlWLcePG0bNnTwCuXLmS5WuIiDgsi8W4SRodDVFRKT+ndi6nbSIj4e+/kwdBElaItG9vn++DZE5EROp5W21EAR6RO5nNxtak2bNh9+6Uj5ctC889B6NGQc2aeT8+W7t0CSZMgNWrk59v1sxYsdS2rV2GJSIiWXf58mXrcbVq1TJsX6VKFQICAjCbzVy9ejVTz0lq6tSpNG/eHCet7hQpmPLzFiCLxVgBkhcBlfTaxMTY+ztRMJlM4OoKRYrk/oet+1m3znh/lRB0S6p4caN6aC5RgEckwY0b8M03RlDj4sWUjzdrZqzWGTLEqP7i6GJj4YsvYPJkI5KcoFQp+OgjI4Dl7Gy34YmISNYFBQVZj8tkIhH+/7d353FRVe8fwD/DpqAssriBGCjgFmllhlIq7ootuKAGRlmZWprZV1Ozb9riUppiuZT+IhUXShDFNBMV9xVNJUHETEUQZFVAYGB+f9wvtxlmGGZYZgbm8369fHmZe5hzLjPAw3PPeY6tra14nJubq3WCp2c9FookIj2ragnQ778LcbG+Eiryj5Fq5ubC69UQkiFV/WvIf4cEBwOzZ6s+Z2YmJErrCRM8RBcvCrN1tm5V/kVhaip8A06fDvTp0/CXYVU4ckT4Bf3XX4qPBwcDX38NtGqll2ERkREx5LvCDVjF7lmAUGS5OvI1eooqL0XWsR07dmDHjh0AgJycHL2OhcjoFRUJyZ3c3H8fq5iN0KuXXoZk0Jo0Ef41bar8v6rHatvmwAHg008Vb9JWaN4cWL++3mq8kAYqXqPKCVIzM+Hxeox3mOAh41RaKvxhsXo1cPy48nknJ+Cdd4TtwLW8m2nQ0tKA//wHCA9XfLxbN+D774EXX9TPuIjIuOhp61BjUFpaKh6bm5tX297CwkI8lkql9TImTQUGBiIwMBAAEFCPdzeJSANRUcLPaENnYaHbxIqqcxYWur8J3LEj8Pnnqs/V8wwR0lDPnsC9e8L30s2bwrIsHdzMYoKHjEtGBvDDD8C6dYBcnQLRM88Iy7ACAxvXnWSpVEjgfPqp4pZ9zZsLS7Tef1+YCklEpK3ycuHnSl6ecKe34l9VH2dlCYn1srJ/n0NHW4caA0u5JcTyyZ6qlMjVjtAkIURERiIlRfXskAomJsLOsbpOqFROrBhr/S89zhAhLVha6nwmFRM8ZBzOnxdm62zfrlwIzcwMGDNGSHI8/3zjWYZV4cQJYOpU4PJlxccDA4HlywFnZ/2Mi4gMg1SqeXJG1cf5+XW3lWk9bx1qDKysrMTjYg3qU8i3sWwM9eWIqG506CAkDFQVieUSIMOgpxkiZNiY4KHGq6QE+PVXIbFz+rTy+VatgMmThX9t2+p+fPUtIwOYMwcIC1N83MtLmM0zYIBehkVEdezx49olaNTdodW1et461BjY2NiIx7nytTOqkJeXJx47ODjUx5CIqCEKCBCWzqrCJUCGQw8zRMiwMcFDjU96unBXYd064biyXr2E2TqjRwvTPBubsjJhGdq8eYqF8aysgAULhC375GouEJEeyWRAYaH6ZEx1CRpD2EWkeXPAzu7ff7a2VX8cHw+EhgrXXVk9bx1qDNzlvn5paWnVtr937x4AoRaPk5NTvY2LiBoYLgEiapCY4KHG48wZ4Y+GX34RiijLMzcXliS9/z7w3HP6GZ8unD0rLMe6cEHx8VdfFbZEd3XVy7CI9EIXuzSVlwMPH9Z89kxurmItGn2QSNQnZKr72MZGCPg1NXKkkIBXleDhXeFa8/T0FI+TkpLUts3Ly8P9+/cBAB4eHjBtyFvSElHd4xIgogaHCR5q2IqLgYgIYRnWuXPK59u0AaZMEXbEasxbf2dlCTN2fvxRsRZGhw7C12bYMP2NjUgfNN2lqXL9GW1nz9Rl/ZmaMjOreXLGzk6YfaPLIpW8K1yvXF1d4ezsjNTUVFy4cAGlpaVVFk8+ffo0ysvLAQC9uO0xEanCJUBEDQoTPNQwpaYKd4B/+EGoNVNZ797CbJ2AgMa9HKm8HPjpJ6HWTlbWv483bQrMnQvMns0/lsj4FBUJyQP5JYoVRSJ9fABPTyExYyj1Z5o2rV2CxtKy4RWH513hejVs2DBs2LAB+fn5iIyMFLceryxMrkabv7+/jkZHRERE9YUJHmo4ZDLg5ElhRsrOncKdX3lNmgDjxwuJnaef1s8YdeniRWE5VuUC0iNGCEvVWMeCjFVUlPLPhwplZcC1a3Xbn3z9mZosdWqMtcA0wbvC9SYoKAhbt25FYWEhli5dis6dO8Pb21uhzfLlyxEfHw8A8PX1RdeuXfUxVCIiIqpDTPCQ4Xv8WNjePDRUSGpU5uIiLMN6+23AGApE5uYKxZLXrBFm8FRo3174Gr30kt6GRmQQUlI0n5lTuf6MtgkabevPEOlAmzZtMGPGDCxevBgFBQWYMGECRo8ejWeeeQYFBQWIiYnBuf8ta7a2tsZ///tfpeeIjIzE3LlzAQDOzs44dOiQTq+BiIiItMeolAzXnTvA2rVCXZkHD5TPv/ACMH068MorjfcPLPkise7uwsfz5ysuS7OwAP7zH6EGj5WV/sZKZCg6dBBqulQsy5JnaQl8+qkwc0Qf9WeIdCQkJAT5+flYu3YtSktLsW3bNmzbtk2hjaOjI9asWQNXFuAnIiJqFBrpX8XUYMlkwLFjwjKsqCjl3WWaNgVee01YhvXUU/oZo65ULhIrkSjO2AGAQYOA774TaooQkSAgQCiorEqTJsAHH7DWCxmF6dOnw8/PD+Hh4Th79iwyMzNhamqK9u3bw8/PDxMnToSdnZ2+h0lERER1RCKT6Xv7D9JWQEAAIiMj9T2MulVUBGzdKiR2/vxT+byrq1Bv5q23AAcH3Y9P14qKgLZtFYvEymvbFli1Chg1quEVVyXSBVW7aFXs0iS/ixYRGaRGGesQERHVM87gIf365x+hlsyGDUB2tvL5/v2F2TojRzbeZViqqCsSa24OfP45MHq0bsdE1JBwlyYiIiIiMjJG9BczGQyZDDhyRCgIvHu38rIjS0sgOBh47z3gySf1MkS9U1ckVioV/nAlIvW4SxMRERERGREmeEh3CgqALVuEmjFXryqfd3MT6ma8+SbQooXux2dI1BWJbdaMW6ATERERERGRAiZ4qP7dvCksw9q4UXVNmYEDhWVYI0YApqY6H55BUlck1sxMOE9ERERERET0P0zwUP2QyYCDB4WiyTExwsfymjUDXn9dWIbVubN+xmjImjYVisFWVSSWdUSIiIiIiIhIDhM8VLcePQI2bRKWYV27pny+QwchqfPGG4Ctre7H15CwSCwRERERERFpiAkeqhs3bghJnZ9+AvLzlc8PHSoswxo6FDAx0f34GioWiSUiIiIiIiINMMFDNVdeLiwXWr0a+O035fPW1kBIiFBLxstL58MjIiIiIiIiMhZM8JD28vOBsDBhxk5ysvJ5Ly9hGdbEiYCNjc6HR0REDUBRkbAENSVFWL7LJahEREREtcIED2kuKUlI6oSFKW/fLZEAw4cLy7AGDeIyLCIiqtq5c8pF5KdNE2aF9uyp79ERERERNUhM8JB65eXC8qvVq4XAuzIbG2DSJGDqVKBjR92Pj4iIGpaiIiG5k5v772MVNw0GDwbS0jiTh4iIiKgGmOAxdlVNkc/NFQomf/+9cK6yzp2F2TrBwUDz5jofNhERGTCZTPg9kpoq7AYo//+ZM6qL8QPCjJ7ISBaXJyIiIqoBJniMmaop8lOmAAMHAr//LjwmTyIBRo4Epk8H/PyEj4mIyLg8fizMsklNVZ3AqTguKtL+uQsKgJs3637MREREREaACR5jpW6KfGSkYls7O+Ctt4RlWG5uuhohERHpUnk5kJlZfeImK6v+xtCsGeDuXn/PT0RERNSIMcFjrKKihJk76jz5pLAM67XXACsr3YyLiIjq3sOHqpM18v+npVX/e0EbzZoBzs5A27bC/xXHTk7Au+8KY6rMzExYKkxEREREWmOCx1ilpCgvwZL35pvAhg1chkVEZMhKS4XEjLrETWqq8s6HtWFqCrRpo5y4qZzMsbau+neIh4fyEmEzM6GYPwssExERUWNQVb3besQEj7Hq0EEIqFUF/c2bAwMGMLlDRKQvMpmwFKqqZVIV/2dkCG3rir199YkbJychyVMbPXsK44+KEmruuLvrJOghIiIi0glV9W6nTRNuZvXsWW/dMsFjrAIChDeYKpwiT0RUfwoLq0/c3LsHFBfXXZ9Nm1afuGnTBrC0rLs+q2Npyd2yiIiIakMPM0SMnkwGlJUJiZuyMtX/Hj0SNi6S3zW0YmLF4MHC7Ot6ep2Y4DFWTZsK2UNOkSciqhtlZcD9++oLFKemKha3ry2JBGjVSn3ipm1boEULzsokIiJqTGoyQ6S8XDkZoS5RUdU5Y/6c2s6clkqFTY3q6SYXEzzGjFPkiagxq6u7WjIZkJenOlkjf5yeLgROdcXGpvrETevWQmKeiIiIjIe6HZF79RJiiMrJnLrcSIFqrqBA+Nu7njAqNHacIk9EjZGmd7WKi4VpstVtDV5YWHdjMzdXTthUTty0bSvUQyMiIiKqTN2OyBU3pqj+mJgIN9hMTVX/KykBcnJUz/Zp1kyYWFFPjDrBk5CQgM2bN+Ps2bPIzMyElZUVXFxcMGTIEIwbNw42Nja17qOsrAzR0dGIjo5GYmIiCgoK4ODggC5dumDUqFEYOHBgHVwJERGJ1N3V8vUF+vUTZtvcuwc8eFC3fTs5qU7cyCdwHByEwICIiIioJqrbEVmdysmIqhIV6hIY+v4cfY7BxKT6Ze+PHwu1DVUty6/nerdGm+BZt24dVq1ahXK56fQlJSXIzc3F1atXsXXrVoSGhsLb27vGfeTk5GDKlCm4ePGiwuPp6elIT0/HoUOHMGjQIHzzzTdoymVRRETak8mAzEwgKQlITBT+j42t+s5VSYkwi0dbzZqpn3Hj7Cwsl2rSpHbXQ0RERFQddTsiN2sGrFgBBAYqJyl4g0k39FjvViKT1eX+qg1DeHg4Fi1aBACwtLREYGAgnnzySeTn52Pv3r04f/48AMDe3h6//vornJ2dte6jtLQUwcHBYnKnY8eOGD16NFq2bImUlBREREQgMzMTADBs2DCsXLlS4+cOCAhAZGSk1mMiImqwSkqE9cqJif8mcir+z8mp+fOamgqJmcrJmsrJHBsbFikm0iHGOkREaqibIWJnV6+7NJEWKupB6rDerdHN4ElLS8OyZcsAALa2ttiyZQs8PT3F8+PHj8e3336L9evXIzs7G0uWLMHq1au17mfz5s1icqd///4IDQ2FhYWFeD4oKAghISFISkrCvn378NJLL8HPz6+WV0dE1MA9eKCYvKn4PyVFKBBYW02aCLV4JkwQEjctWwpJHiIiIqKGgjsiNwx6qHdrdAmesLAwPH78GAAwY8YMheQOAEgkEnz44Ye4cOECzp8/jwMHDiA5ORkeHh4a91FaWoqNGzcCAKysrPDll18qJHcAYXbQqlWrMGLECJSVlWHNmjVM8BCRcSgtBf7+WzmJk5gIZGVp/3zNmwOdOgFeXsL/bm7AlCnAw4fKbS0tgS+/ZOBDREREDRt3RCYVjCrBI5PJsHfvXgBA06ZNMXr06CrbhoSEiEu1YmJiMHPmTI37OXnyJB78r3Dn0KFD4eDgoLKdm5sb+vbti0OHDuHKlSv4559/0L59e437ISIyaNnZqmfj3LhRs60627f/N4kj/3/btsrLpzw9eVeLiIiIGjfuiEyVGFWC58aNG2Ldm2effRZN1BTD7NWrF0xMTFBeXo64uDitEjynT58Wj319fdW27d27Nw4dOgQAOHLkCF5//XWN+yEi0jupFLh1S/VsnP/9vNWKlZVyEqdTJ8DDQzinKd7VIiIiIiIjY1QJnqSkJPHYy8tLbVsbGxu0atUKaWlpSE5OhlQqhZmZZl+u69eva9xPx44dxeNr165p9PxERDqXm6t6Nk5ysrDkSlsuLv8mb+QTOs7OdbfDA+9qEREREZERMaoET2pqqnjs4uJSbfu2bdsiLS0NUqkU6enpGn0OANy9e1c8rm4HLvnz8uMjItK5sjLgn39Uz8a5f1/757O0FJZKVU7ieHoKdXOIiIiIiKjOGFWCJ0uueGeLFi2qbW9rayse5+bmapzgyc7OBiBswW5paalVH/oSFham9FjXrl3Rs2dPlJaWIjw8XOl89+7d0b17dxQWFiIiIkLp/LPPPotu3bohLy8PUVFRSud9fHzg5eWFBw8eICYmRun8iy++CHd3d6Snp2P//v1K5wcMGIB27drhzp07iI2NVTo/dOhQtG7dGjdv3sTRo0eVzvv7+8PR0RFJSUk4deqU0vlXX30Vtra2uHr1qliPSd7YsWNhZWWFS5cu4dKlS0rnX3vtNZibm+PcuXNISEhQOh8SEgJAqNkkP+sLAMzNzfHaa68BAOLi4vD3338rnLeyssLYsWMBAAcPHlRIKgLCDLSAgAAAwP79+5Genq5w3sHBASNHjgQA7NmzR+F7AwBat26NoUOHAgAiIyORn5+vcN7FxQUDBw4EAERERKCwsFDhfEV9KQAIDw9HaaUZHp6enujduzcAvvf08t4LCACSknA9JgZF8fGwTU+HbVoabO7fh2kNauMU2Nkhr00b5LdujWI3Nzw1dizQqRP2JyQgPSPj34bFxXBITcXIp58GwPeeUb73VPzcq3iMiIiIiGrHqBI8FbtnAUKR5erI1+gpKirSuJ+Ktupq/Kjqo/IfKvJ27NiBHTt2AABycnI0HgsRGanycljcu4e2V67ANi1NTOLYpqcDb7wBAPCs5inklZmZIa91axQ4O6PdoEFAp044k5uLGyYmKJVLZNvY2OCpIUOED7jslIiIiIhIZyQymUym70Hoyty5cxEZGQkA2LhxY7UFkGfPno3o6GgAwp1eHx8fjfrp1KkTZDIZnJyccPz4cbVty8vL0blzZwBAmzZtcOTIkWqfPyAgQLwOIjJyjx4Jy6gqL6m6fh2QS2prrHVr5SVVnToBrq6AqWndj5+ISAXGOkRERNozqhk88sulKk/bV6WkpEQ8Njc316qfwsLCeu2DiIxIeTlw965yEicxEahJ7S4LC2FXKlVbjsstGyUiIiIioobDqBI8VnJb7BYXF1fbXr5NdbV0KvdTWFiokLzRpA9Nlo0RUSNWUCDMvFE1G0fNEs4qtWypesvx9u0BDXcFJCIiIiKihsGoInwbGxvxWJOCxnl5eeKxg4ODVv08ePAARUVFKC4uVluLp6Z9EJEBKCoCoqKAlBSgQwcgIACoLlErkwmzblTNxrlzR/sxmJlVPRtHg2LyRERERETUOBhVgsfd3V08TktLq7b9vXv3AAAWFhZwcnLSqp+bN29CJpMhLS0NTzzxRJVt5bdGr25LdSIyIOfOAYMHA1KpMPOmWTNg2jTgwAGgZ08h+ZOc/G/yRn42zqNH2vfn6Kg6iePmBnB5JxERERGR0TOqBI+n5797xiQlJaltm5eXh/v37wMAPDw8YKpFcVEPDw8cPHgQAHD9+nW1CR757bE7deqkcR9EpEdFRUJyR34mYEXSpndvoG1bYTaOtjXsTU2FmUCVkzheXkKCh4iIiIiIqApGleBxdXWFs7MzUlNTceHCBZSWllZZ2Pj06dMoLy8HAPTq1Uurfp5//nmsXbsWAHDq1CkMHjy4yranTp0Sj7Xth4j0JCpKmLmjilQK3L6t/vNbtFCui+PlBbi7CwWQiYiIiIiItGRUCR4AGDZsGDZs2ID8/HxERkYiMDBQZbuwsDDx2N/fX6s+nnvuOTg5OSEzMxPR0dF4//33YW9vr9QuJSUFR48eBSDMLpKfYUREBiwlRViWpY6JiZCwUbXluKMjIJHoZqxEZNQSEhKwefNmnD17FpmZmbCysoKLiwuGDBmCcePGKdQnrKmysjJER0cjOjoaiYmJKCgogIODA7p06YJRo0Zh4MCBdXAlREREVB2jS/AEBQVh69atKCwsxNKlS9G5c2d4e3srtFm+fDni4+MBAL6+vujatatWfZiYmGDSpElYsmQJCgoKMHPmTKxdu1ZhF6/s7Gx88MEHKCsrAwBMnjy5lldGRDrToYNQc0dVLZ2mTYGFC4EZMwA1BdaJiOrbunXrsGrVKnFGMgCUlJQgNzcXV69exdatWxEaGqoUB2kjJycHU6ZMwcWLFxUeT09PR3p6Og4dOoRBgwbhm2++4W6hRERE9Uwik2lbJKLhCwsLw+LFiwEA5ubmGD16NJ555hkUFBQgJiYG586dAwBYW1sjMjISrq6uCp8fGRmJuXPnAhAKIx86dEipD6lUirFjxyIhIQEA0K5dO4wdOxYuLi64efMmtm/fjszMTABA//79sXbtWkg0vKMfEBCAyMjIml08EdXe48dAmzaKNXgq2NkBaWnV76ZFRFSPwsPDsWjRIgCApaUlAgMD8eSTTyI/Px979+7F+fPnAQD29vb49ddfa7TRQ2lpKYKDg8XkTseOHTF69Gi0bNkSKSkpiIiIEGOdYcOGYeXKlRo/N2MdIiIi7RndDB4ACAkJQX5+PtauXYvS0lJs27YN27ZtU2jj6OiINWvWKCV3NGVmZoYNGzZg8uTJuHz5Mu7cuYPly5crtevbty9WrFihcXKHiAxA06bCblmVd9EyMxMeZ3KHiPQoLS0Ny5YtAwDY2tpiy5YtCsvAx48fj2+//Rbr169HdnY2lixZgtWrV2vdz+bNm8XkTv/+/REaGgoLuTpiQUFBCAkJQVJSEvbt24eXXnoJfn5+tbw6IiIiqopRJngAYPr06fDz80N4eLi4Lt3U1BTt27eHn58fJk6cCDs7u1r1YW9vj+3btyMqKgp79+5FYmIi8vPzYW1tjW7duiEgIADDhw+vmwsiIt3q2RO4d08ouHzzplBvJyCAyR0i0ruwsDA8fvwYADBjxgylGn8SiQQffvghLly4gPPnz+PAgQNITk6Gh4eHxn2UlpZi48aNAAArKyt8+eWXCskdQIiDVq1ahREjRqCsrAxr1qxhgoeIiKgeGW2CBwC6desmLtXSRkBAAAICAjRqa2pqitGjR2P06NFa90NEBs7SEpgwQd+jICISyWQy7N27FwDQtGlTtfFHSEiIuFQrJiYGM2fO1LifkydP4sGDBwCAoUOHwsHBQWU7Nzc39O3bF4cOHcKVK1fwzz//oH379hr3Q0RERJoz0fcAiIiIiKhu3LhxQ6x78+yzz6KJmmLvvXr1gomJEArGxcVp1c/p06fFY19fX7Vte/fuLR4fOXJEq36IiIhIc0zwEBERETUSSUlJ4rGXl5fatjY2NmjVqhUAIDk5GVKpVON+rl+/rnE/HTt2FI+vXbumcR9ERESkHSZ4iIiIiBqJ1NRU8djFxaXa9m3btgUg7P6Znp6ucT93794Vj6vbgUv+vPz4iIiIqG4xwUNERETUSGRlZYnHLVq0qLa9ra2teJybm6txP9nZ2QCELdgtLS3rpQ8iIiLSDhM8RERERI1Exe5ZgFBkuTryNXqKioo07qeirboaP6r6KCws1LgPIiIi0o5R76LVUKWmpmq8i5emcnJyNLrTR/rB18ew8fUxbHx9DFt9vD4tWrQQt/A2NqWlpeKxubl5te3ltzbXpgZPRVtt+ygrK6uy3Y4dO7Bjxw4AwN9//81Yx8jw9TFsfH0MG18fw6bLWIcJngbozJkzdf6cAQEBiIyMrPPnpbrB18ew8fUxbHx9DBtfn7olv1xKPtlTlZKSEvFYk2SNfD+FhYV12kdgYCACAwM1HoO2+F4zbHx9DBtfH8PG18ew6fL14RItIiIiokbCyspKPC4uLq62vXyb6mrpqOpHPnmjSR+aLBsjIiKimmGCh4iIiKiRsLGxEY81KWicl5cnHjs4OGjdT1FRUbWJpJr2QURERNphgocAoF6nRFPt8fUxbHx9DBtfH8PG16duubu7i8dpaWnVtr937x4AoU6Ok5OT1v3IZLJq+5HfGr26LdXrE99rho2vj2Hj62PY+PoYNl2+PkzwEAD+UDB0fH0MG18fw8bXx7Dx9albnp6e4nFSUpLatnl5ebh//z4AwMPDA6amphr34+HhIR5fv35dbVv58506ddK4j7rG95ph4+tj2Pj6GDa+PoaNCR4iIiIi0pqrq6s4S+bChQtqiyCfPn0a5eXlAIBevXpp1c/zzz8vHp86dUptW/nz2vZDREREmmOCh4iIiKgRGTZsGAAgPz9f7a4dYWFh4rG/v79WfTz33HPikq7o6GhkZ2erbJeSkoKjR48CEGYXyc8wIiIiorrFbdJJlJycjFdeeQVSqbTaad1Uf8rKynDw4EHs3bsXV65cQVZWFkxMTODo6IgePXogICAAPj4++h6mUSspKUF0dDT27duHa9eu4eHDh7Czs4ObmxuGDBmCV155Bc2bN9f3MKmSL774Aps3bwYAxMbGwsXFRc8jMj7Z2dla/fxasGABgoKC6nFEjVNQUBC2bt2KwsJCLF26FJ07d4a3t7dCm+XLlyM+Ph4A4Ovri65du2rVh4mJCSZNmoQlS5agoKAAM2fOxNq1axV28crOzsYHH3yAsrIyAMDkyZNreWW1wzjHcDDWMWyMcxomxjn6ZwhxDhM8BAAoKCjArFmzIJVK9T0Uo5aWloYPPvgAly5dUjp3584d3LlzB7t378aQIUOwePFiNGvWTPeDNHK3b9/GtGnTlGpOZGZmIjMzE2fPnsWGDRuwdOlSLkUwICdPnsSWLVv0PQyjl5iYqO8hGIU2bdpgxowZWLx4MQoKCjBhwgSMHj0azzzzDAoKChATE4Nz584BAKytrfHf//5X6TkiIyMxd+5cAEJh5EOHDim1CQ4Oxp49e5CQkIDTp0/jpZdewtixY+Hi4oKbN29i+/btyMzMBAD0798fI0aMqMerVo9xjuFgrGPYGOc0TIxzDIMhxDlM8BCKioowbdo03s3Ss4cPHyIkJAS3bt0CALRq1QoBAQHw8PCAVCrFlStXEBkZiYKCAvz+++8oLCzE+vXrtSqKSbWTk5OD4OBgpKenAxD+6Bk1ahRcXV3x4MEDHDx4EOfPn0daWhreffddbN26FZ07d9bzqCk/Px9z586FTCbT91CM3rVr18TjOXPmwNXVVW17Ly+v+h5SoxUSEoL8/HysXbsWpaWl2LZtG7Zt26bQxtHREWvWrKn2daiKmZkZNmzYgMmTJ+Py5cu4c+cOli9frtSub9++WLFiBSQSSY36qS3GOYaDsY5hY5zTMDHOMRyGEOcwwWPk7ty5gxkzZiAhIUHfQzF63333nRjw+Pr6IjQ0VOGu1csvv4yQkBC88cYbuH37No4dO4bIyEiMGTNGTyM2PitWrBCDHj8/P6xatQoWFhbi+TfeeAMbN27EsmXLUFhYiMWLF2PTpk36Gi79z8KFC8XXjfSrIvCRSCQYO3Ysp/jXs+nTp8PPzw/h4eE4e/YsMjMzYWpqivbt28PPzw8TJ06EnZ1drfqwt7fH9u3bERUVhb179yIxMRH5+fmwtrZGt27dEBAQgOHDh9fNBdUA4xzDwljHsDHOaZgY5xgOQ4hzJDKm+oySTCbD7t278cUXXyA/P1/pPO9y6VZxcTF8fHxQUFCA5s2b49ChQ7C1tVXZ9vLly2Kg06VLF0RFRelyqEbr0aNH8PHxQUlJCaytrXH48GFYW1urbDty5EhxavOxY8fQsmVLXQ6V5Pz222+YOXMmAMDGxkb8ece16frh7++P5ORkuLq64o8//tD3cKgRY5xjeBjrGDbGOQ0T4xzDYghxDnfRMkJ//fUXRo8ejdmzZ4s/BMaNG4dWrVrpeWTG6+LFiygoKAAADBw4sMqABwC8vb3FH9h//fUXiouLdTJGY5eRkYHnn38ezs7O6NevX5VBDwCFXWJSU1N1MTxS4f79+1i4cCEAYMyYMejUqZOeR2TciouL8ffffwMAXwuqV4xzDBNjHcPGOKfhYZxjWAwlzuESLSMUGxuLq1evAgAcHBzwySefYPjw4Th27JieR2a8iouL0blzZ9y/fx8dOnSotr2dnR3u3r0LAMjLy+OdEx1wd3fHjz/+qFHbO3fuiMcV2wiTbslkMsybNw+5ublwdnbGxx9/jClTpuh7WEbt+vXrYoFb1tah+sQ4xzAx1jFsjHMaFsY5hsdQ4hwmeIxU06ZNERQUhMmTJ8PGxkbfwzF6ffv2Rd++fTVqW1paKmaHJRJJresnUN3av38//vzzTwBAjx49OD1WT8LDw3H8+HFIJBIsXryYtV4MgPzOEhV3tvLz83H9+nUUFBTA3t4eXl5eCvUeiGqKcY7hYazTODDOMQyMcwyPocQ5TPAYoUGDBiE4OJi/LBuomJgYcYrzk08+yT+G9KysrAxZWVlITk7GL7/8gv379wMQ7jxWTJsl3bp58ya+/vprAMDEiRO5jauBkN9ZoqCgAJMmTcLJkydRXl4uPm5lZQV/f3+89957XE5DNcY4p+FjrGM4GOcYHsY5hslQ4hwmeIwQ12c2XDk5OQpb0L766qt6HA0BQEBAgELGHgD69OmDBQsWwM3NTU+jMl5SqRSzZ8/G48eP4e7ujlmzZul7SPQ/8t8ns2fPVtmmsLAQERERiI2NxZo1a9C9e3cdjY4aE8Y5DRtjHcPCOMewMM4xXIYS57DIMlEDUVJSgunTpyMzMxMA4Obmxm1DDcC9e/eUHktKSsKuXbvw+PFjPYzIuK1ZswZXrlyBqakpli5diiZNmuh7SAShVoD8rkVWVlaYPn069u/fjytXruDkyZNYsWKFWJcjKysLkydPVqjzQESNH2Mdw8M4x7AwzjFMhhTncAYPUQNQEfCcPXsWgFBbYOXKlTA3N9fzyIybVCpFcHAw3N3dIZVKER8fj+joaDx48ADr1q3DiRMnEBYWxnXROnL58mWsX78eAPDOO+/A29tbzyOiChkZGeIUZUdHR2zZskXhzq+DgwNGjBiB/v374+2338b58+eRm5uLJUuW4Pvvv9fXsIlIhxjrGB7GOYaFcY7hMqQ4RyKTyWR1+ozUYPn5+YlbHcpnIEm/CgoK8N577+HkyZMAAFNTU6xcuRKDBw/W88hIlZs3b+LNN99EWloaAGD8+PH47LPP9DsoI1BUVIRXXnkFt27dQufOnfHLL78o/VEQHBws/uEQGxvLwpB6kJ2djbKyMrW7rty7dw+DBw9GaWkpAODo0aOsx0N1gnGO4WKs03AwztEPxjkNgyHEOVyiRWTA7t+/j+DgYDHgMTMzwzfffMOAx4C5u7sr1A7YuXMnHj58qMcRGYelS5fi1q1bsLCwwLJly3jH10DZ29tXu6Vu27ZtFQpGVgSrRNQ4MdZpWBjn6AfjnIbBEOIcJniIDFRCQgLGjBmDhIQEAMJU5e+//x7Dhw/X88ioOs8884xY5LOkpARXrlzR84gat6NHj2Lbtm0AgPfffx+enp56HhHVlvxreP/+fT2OhIjqE2Odholxjm4xzml86jPOYQ0eIgMUGxuLWbNmoaioCADQokULrFu3jjvKNCDu7u5iNf2srCw9j6Zx++2338Tj5cuXK9xZrMqAAQPE402bNnGLUQNjZsbwhKixY6zTsDHO0R3GOY1PfcY5jKCIDExUVBTmz5+PsrIyAED79u3x448/on379noemXGLjY3Fb7/9hrt372LGjBno3bu32vYlJSXiMYsPkrE7deoUEhISkJWVhZdeegmdO3dW276itgMAtGzZsr6HR0Q6xljH8DDOIao5Q4pzmOAhMiAxMTGYN2+eWIW9e/fuWLt2Lezt7fU8MkpNTUVMTAwA4ODBg2oDn/Lycvz555/ixx07dqz38Rmz4OBgDBw4sNp2K1euRHJyMgBg0aJFcHBwAAB4eHjU6/gIiIuLw08//QQAsLCwUBv4SKVSnDlzRvz46aefrvfxEZHuMNYxTIxzDBfjHMNnSHEOEzxEBuLatWuYO3euGPD4+vriu+++g6WlpZ5HRgDQr18/fPnllwCA3bt34/3330eLFi1Utt25cycyMzMBAF27dkW7du10Nk5j1LVrV3Tt2rXadj///LN43KdPH+4uoUN9+vQRA5+oqCi8++67Vf5s2759OzIyMgAAzz33HF8nokaEsY7hYpxjuBjnGD5DinNYZJnIAEilUsyaNUuc7tqjRw+sWbOGAY8BcXV1xZAhQwAADx8+xEcffSTWDZB39OhRMUACgJkzZ+psjESGqk+fPmJBwfv372POnDkK0/sr/PHHH1i6dCkAYZvkWbNm6XScRFR/GOsYNsY5RDVnSHEOZ/AQGYDdu3cjJSUFACCRSODv749jx45p9Ll9+vRhcKQjn3zyCa5cuYJ79+7h+PHjGDFiBMaMGYMnnngC+fn5iIuLw6FDhyCTyQAA06ZNwwsvvKDnURPpn4mJCRYvXozg4GAUFhbi999/R2JiIkaNGgVXV1fk5ubi8OHDiIuLEz9n9uzZLLZK1Igw1jF8jHOIasaQ4hyJrOI7lIyen58fUlNTAQBJSUl6Ho1xGT9+POLj42v0ubGxsZyCqUN37tzBjBkzxC1dVWnSpAnmzJmD1157TYcjo+oEBwfj7NmzAPh9oy/x8fH48MMPFYoLVmZlZYU5c+Zg3LhxOhwZGQPGOfrFWKdhYJzTcDHO0T9DiHM4g4fIAFRsM0mGr127doiIiMBvv/2GvXv34urVq8jLy4OVlRXatWsHX19fTJgwAa1atdL3UIkMztNPP43ffvsNkZGROHjwIJKSkpCfn4/mzZvD2dkZ/fr1Q2BgIL9/iBohxjoNA+McopozhDiHM3iIiIiIiIiIiBo4FlkmIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOAhIiIiIiIiImrgmOChRu/jjz+Gl5cXvLy8MGbMGJSVlWn8uatXrxY/95dffqnHUepGZGSkeD2rV6/W93AM2v379/HZZ59hwIAB8Pb2xlNPPQU/Pz/ExcVp9Ty3bt3Cr7/+Wk+jrBsV7wk/Pz99D4WIiLTEOOdfjHM0xziHqHFigoeMyuXLl7Fx40Z9D4MMXHZ2NkaPHo1t27bh7t27KC4uxuPHj5GamgpHR0eNnkMqleK7777DyJEjcf78+XoeMREREeMc0gzjHKLGy0zfAyDStdWrV2PAgAHo0KGDvodCBurnn39GRkYGAMDNzQ1BQUGwt7dHbm4uPDw8NHqO9PR03j0kIiKdY5xD1WGcQ9R4McFDRqekpARz587Ftm3bYGpqqu/hkAFKSkoSj1esWIEuXbrocTRERESaY5xD1WGcQ9R4cYkWGaU///yTU5ipSoWFheKxpneyiIiIDAXjHFKHcQ5R48UEDxmVgIAA8Xj16tVISUnR42jIUMlkMvHY3NxcjyMhIiLSHOMc0gTjHKLGi0u0yKiMHDkS+fn5OHjwYJ1MYfby8gIAODs749ChQ1W2i4yMxNy5cwEA7733Ht5//33x3N27dzFgwAAAwOzZszFp0iRcuHAB4eHhiI+PR1ZWFuzt7fHUU0/hjTfeQI8ePcTPPXz4MLZt24aEhATk5eXByckJffr0wbvvvgsXF5dqx19eXo5ff/0VkZGRSE5ORnl5Odq1a4f+/fsjKCgITk5O1T7HvXv3sG3bNhw/fhypqakoKiqCvb09vL29MXz4cAwdOhQSiUTl5wYHB+Ps2bNwc3PD/v37ER4ejk2bNiE1NRW2trbo1KkTPvvsM7Rr167accjLz89HREQE4uLikJycjEePHsHa2hru7u7o168fxo8fj+bNmyt8zpkzZzBx4kSl56p4jQFg06ZN6NWrl9q+VT1PVFQUoqKiACi//oBwJy06OhonT55EQkICcnNzUVJSAmtra7i4uOD555/HhAkT0KZNmyr7zcnJwY4dOxAXF4eUlBQUFBTA2toazs7O8PHxQWBgoNZfxwqZmZkICgrCrVu3AAAjRozA119/rfB9U1RUhF9++QWxsbFISkrCw4cP0bx5c7Rq1QrPPfccRo0ahc6dO9eo/7q8RplMhn379mHfvn24cuUKsrKy0LRpU7i4uKBPnz4ICgpC69atqx1LYWEhIiIiEBsbi5s3byIvLw/W1tbo2LEjBgwYgMDAQFhaWqr83NWrV+O7774DABw/fhz29vbYuXMn9uzZgxs3buDhw4dwdHREz549MWHCBIXveSIidRjnKGKc8y/GOVVjnKOMcU7DxQQPGZ2FCxfi/PnzyM3NxZ9//on/+7//w9tvv63vYYmWL1+OH3/8UeHuSnp6OtLT0xEbG4slS5Zg+PDh+OSTTxAZGanwuffu3cMvv/yCAwcOYMuWLfD09Kyyn6KiIrz55ps4deqUwuNJSUlISkrC5s2b8eWXX2LYsGFVPkdYWBhWrFiB4uJihccrxnvgwAF0794doaGhaNWqldrr/vbbb7Fu3Trx4wcPHiAxMVGjX0LyDhw4gAULFiA3N1fh8ezsbGRnZ+P8+fPYsGEDli5din79+mn13PUhLi4Oc+bMQU5OjtK5ijFfvnwZYWFhWLZsmcrXIz4+HlOmTFG65pycHOTk5ODq1av46aefMGvWLLz55ptajS87OxshISFi0OPv749ly5YpBD03b97E22+/jbt37yp8bm5uLnJzc5GUlIQtW7bg9ddfx8cff1xlIKxOXVxjWloa3nvvPVy9elXh8ZKSEvz111/466+/sGnTJsyZMwevvfZalWM5ffo0PvroI2RmZio8np2djbNnz+Ls2bPYsGEDVq1ahWeeeUbtdeXm5mLatGn4888/lca6e/du7N69G1OnTsWMGTPUPg8RUQXGOQLGOYxzNME4RxnjnIaNCR4yOo6Ojpg/fz7+85//ABCyzH5+fgax20RERARu3boFKysrvPrqq/D29kZeXh52796Nq1evQiqVYtGiRThx4gSioqLQunVrjB07Fm5ubsjIyMDWrVvxzz//IC8vD59++im2b99eZV+bNm1CaWkpmjdvjrFjx6Jr167Iy8vD3r17ceHCBRQUFGDWrFmwtbVF7969lT7/u+++E3dPMDc3x4gRI9CzZ09YWVnh9u3bYpb+0qVLGD9+PCIjI2FnZ6dyLKmpqVi/fj1atGiBkJAQtG3bFpcvX0aLFi20mjq8b98+fPjhhygvLwcA9OjRA0OHDkXLli2RmZmJ/fv3Iz4+Hrm5uZgyZQpWrlyJIUOGABDWoH///fcAgJUrVyI5ORkAxMcq2lSn4nmysrLw6aefAgB69eol3u1yc3MT2/7555+YOnUqpFIpJBIJBg4cCB8fHzg4OKC4uBg3btzArl27kJGRId6JffrppxWCyJycHEybNg25ubmQSCQYOnQofHx8YGtri+zsbJw+fRoHDhyAVCrF0qVL4eHhgRdeeEGjr2d+fj4mTZqEGzduAFAd9JSUlGDq1Kli0PPCCy+gf//+cHBwQF5eHi5duoQ9e/agtLQUYWFhcHNzw7hx4zTqvy6vMSMjA4GBgbh//774Ovn7+8PV1RWFhYU4f/48YmJiUFxcjEWLFqGkpARvvPGG0lhOnjyJd955B6WlpQAAX19f9OvXD46OjsjKysKhQ4dw4sQJZGZm4vXXX8fmzZvV3pmaMWMGUlJS0K5dOwQEBOCJJ55ATk4Odu/ejUuXLgEA1qxZg2effRZ9+vTR6utGRMaJcY6AcQ7jnOowzmGc0yjJiBq5OXPmyDw9PWWenp6yEydOiI9PmTJFfHzMmDEyqVSq9LmhoaFim4iICKXzFef69++vdgw7d+4U24aGhiqcu3PnjnjO09NT1qdPH9mNGzcU2hQXF8uGDRum0C4wMFCWn5+v0C4/P1/24osvim3u3r1b5Tg8PT1lAwcOVGpT+br9/PxkpaWlCufPnTsn69Spk3jtycnJSs8hlUplX375pfg8M2bMUGoTFBQknn/yySeVrlsbGRkZsqeeekrm6ekp8/Lykm3atEllu02bNsm8vLxknp6esu7du8vS0tLUjqum5F/XOXPmqGwzfvx4sc3OnTtVtnn48KFsyJAhYruff/5Z4XxYWJh4bs2aNSqfIyIiQmzz5ptvKp1X9T5++PChbMyYMeK5WbNmqfwe+eOPP8Q28+fPV9n/sWPHxPfL4MGDVbZRpy6uMSQkRDz/9ddfy8rKypTaJCYmynx9fWWenp6yLl26yK5du6ZwPjc3V+bj4yPz9PSUde3aVXbgwAGVY9m7d6+sS5cuMk9PT1nfvn1lxcXFCuflv788PT1lH3zwgVKbsrIy2Ycffii2mTZtmtqvEREZL8Y5qsfBOIdxTgXGOQLGOcaBRZbJaC1cuFC801IxhdkQzJo1S+kum4WFBUaPHi1+LJFIsGTJElhbWyu0s7a2xvDhw8WPr1+/XmU/JiYmWLVqFZydnZXOvf/+++LdrLt37yI2Nlbh/Pfff4/y8nJIJBKsXLkSHTt2VHoOU1NTfPzxx+jWrRsAYP/+/bh582aV4xk+fHit7i5u3LgRRUVFAIAJEyYgODhYZbvg4GBMmDABgLC+WF+7jKSnpyM+Ph4A4O3trVAYU17z5s3x+uuvix9X/hrKf+zn56fyOcaMGYPOnTujW7duaNmyZbVjKyoqwrvvvitOp3355ZeV7mhp07+vry/69u2Lzp07w9PTE48fP652DNr2oe4aL1y4gJMnTwIA+vfvj48++ggmJsq//ry8vPDZZ58BAKRSKX788UeF81u3bkVWVhYA4MMPP8SgQYNUjmX48OEICgoCIExB3rVrV5XXZmdnh6+++goWFhYKj5uYmGD69OnixxV3uYiINMU4h3EO4xzVGOcwzmnMmOAho+Xk5IR58+aJHxvCbhPm5uYKgYs8V1dX8djLywtPPPGEynbygUxeXl6Vffn6+qJLly5Vnpf/ZfvHH3+Ix9nZ2eIvkS5dusDb27vK5zAxMUFgYCAAoejb4cOHq2zbs2fPKs9poiI4MzExwTvvvKO27eTJk8Vf4gcOHKhVvzXVqlUrxMXFYevWrfjiiy/UtpUvqFc5aLC3txeP/+///g8lJSUqn2PXrl3YuXMnFi9erLavkpISTJs2DefOnQMAvPLKK1iyZInKQKFy/5s3b8ajR49Utlu3bh127dqF1atXo2nTpmrHoK6Pmlzj3r17xeOxY8eq7WvAgAFi4HTkyBFxGrz885iYmCj8IaLK+PHjxePKfzjI69+/f5VFCtu3bw8rKysAUFqTT0RUHcY5jHMAxjmVMc5hnNPYsQYPGbWXX34Z+/fvx6FDh1BcXIx58+Zh69atNd5torZcXFzQpEkTlefk72K1b9++yueQ/yEq/0O7MlXrzeU988wzkEgkkMlkCoXRKu7GAMIdt4MHD6p9nvz8fPG4coE1ebW5q5WdnY3bt28DENZ+V1ewsFWrVujQoQOuX7+O9PR0pKWlqd25oT5IJBK0atWqyqKMpaWl+Pvvv3HlyhX8/vvv4uNlZWUK7YYPH45169ahvLwcu3btwokTJ+Dn5wdfX188//zzsLGx0XhMUqkU06dPx4kTJwAATZs2xbx586oMegDhTpOlpSWKiopw8uRJ+Pn5oX///vD19YWPjw8cHR017r8qtb1G+fdsampqte9ZJycnZGRk4NGjR0hJSYGHhwfy8/PFNfpWVlY4e/ZsteO2sLBASUmJ2vd9dfUOrK2tUVhYCKlUWm1/RESVMc6pGuOc+sU4R3OMcxjn1CUmeMjoLVq0CBcuXBALpf30009466239DKWqorzVVaR7VZF08r91W2zaG1tDRsbG+Tl5SlU0U9PTxePL168iGnTpmnUHyAEKFXR5hd0ZfLjk78DqI6rq6s4tfvBgwc6D3zkZWZm4vDhw/jrr79w+/Zt3L59G2lpaSp/2cnkdh0BhF+c8+bNw1dffYXy8nJkZmZix44d2LFjB0xNTfHkk0/ixRdfxNChQ6sNLu/fvy8W5wOEu2jffPMNPv/88yo/x97eHsuWLcOsWbNQUlKCvLw87Nq1C7t27YJEIoGXlxf69u2LwYMHi9PYtVXba0xLSxOPq7uLWFlWVhY8PDyQnp4ufu0fPXqk1fs+NzcX5eXlKgPI6t73ZmbCr+nKrzsRkaYY56jGOEd3GOeoxziHcU5d4hItMnpOTk6YP3+++HFoaKjepjBrs5NCbWkyfbTiLpn89qAPHz6scZ9VTWsFoLQ2t6bPqy4olCd/B7CwsLDGfddGSUkJvvjiC/Tr1w8LFizAtm3bcOLECdy5cwdSqRQmJibo2rUr/P391T5PcHAwduzYgSFDhii8rmVlZbh06RJCQ0MxfPhwvPPOOwqBa1UGDx4MW1tbAMKOJ5W3mFXVfvfu3QgICFC4AyuTyZCYmIj169dj1KhRGDdunHh3SFu1uUZ177vqVHxubd73MpkMBQUFKs/p6y46ERkPxjlVY5xTvxjnaI5xDtUVzuAhgjCFed++fTh8+LA4hXnbtm119vzygYOh0GRMFQGB/C8z+YDh7bffxkcffVT3g9NSs2bNxGNNgxj5X0RVrQ2uTzKZDFOnTsWxY8cACHcwnn76aXTr1g3u7u7o0KEDvLy80KxZM5w6dQoxMTFqn8/b2xuhoaEoKirCmTNncPLkSZw+fRrXr18X74rExcXh9ddfR3R0dJWB78iRI7F06VJERkbik08+AQAsWLAAe/bsUft1cnNzw+LFi7Fo0SKcP39e7D8hIUGcbn3x4kVMnDgRu3bt0qgIYl1dY9OmTcUA5vLly1UuD1BH/tqfeuopREREaP0cRET6wjhHNcY59YdxDuMc0g8meIj+Z9GiRfD39xenMGuy20TF2u3q1o3WJiteX6q7w5GTkyOuK5ef1iu/1lh+mqs+OTk5iccVa9Sr888//4jH1a1lrw/79u0Tgx5nZ2ds3LgRbm5uKtuqKyJZmaWlJfr164d+/foBADIyMhATE4NVq1bh8ePHuHXrFqKjo8WikPKcnJywbNkysbhedHQ0zp07hzt37mDFihUKd4CrYm5uDh8fH/j4+AAQpu0eOHAAK1asQE5ODrKysrBlyxZ8+OGHGl9Tba/R0dFRDHzu37+v8fR2eYb4vici0gbjHEWMc+oX4xzGOaQfXKJF9D8tW7ZU2G0iNDQUf//9t9rPqZhuW93UyKSkpNoPsI5duXJF7Xn56ardu3cXj5966inx+Ny5c2oLHALAsWPHMGPGDCxbtgxHjhyp0Vir4+DgABcXFwDA33//XW1Ql5aWJr62jo6ONbrLUlvyOw5MmzatyqAHAP766y/xWH6Ncnl5Ofbt24c1a9Zg5cqVKj+3ZcuWePPNNxXuQMo/nzwLCwtx/bREIsHChQvF6fRbtmzBxYsXlT4nLi4OP/zwQ5Xr1+3s7DB27Fh89dVX1favSl1co/z79/Tp02r7k8lkmDt3LhYsWIB169aJQWfLli3Rtm1bAMIfDbdu3VL7PBkZGZg6dSq++OILhIeHq21LRKQLjHMUMc6pX4xzNMM4h+oaEzxEcl555RX0798fgDC1V37bQVUcHBwACNNgq/pBmJeXh+PHj9fpOOvC77//joyMDJXnysrKsHHjRvHjESNGiMft2rUTtx1NS0vDrl27quyjvLwcK1aswP79+7Fx40bcvXu3bgavwuDBg8U+f/jhB7Vtf/jhBzFgGzBgQL2MR77QnKrgUH47SPmp15VlZ2cjMjJS/Fj+LqqJiQm+/vprrFq1CuvXr1cowlhZixYtNOpPXocOHTB58mTxGubPn6+0deeGDRuwfPlybNmyBZcvX67T/oG6ucaK9wYA/PTTT2qn7cfGxiIyMhIRERHYvHkzmjdvrvJ51q1bp3bcP/74I2JjY7F582acOXNGbVsiIl1hnCNgnFN7jHNq3z/AOIfqHhM8RJUsXLhQ450O5O/yfPvtt0oV4B89eoSPPvpI4ZecoSgsLMT06dMVtvcEhKBn4cKFuHr1KgBhG9HnnntOoc2UKVPE488//1ycgiuvvLwc//3vf8U7DI6OjggICKjryxC9/vrrYuHBrVu3YsuWLSrbhYeHi3UHmjVrhrfffrtexiO/lrny1xiAeCcOEAr8qQqO7t27h3fffVfhl33lX9oVQWl5eTk+/vhjpcAEAIqKihSm4vfq1Uvj65g8eTLc3d0BACkpKfjuu+9U9g8An3zyicpp+mVlZVi/fn2N+pfvo6bX6Ofnh06dOgEAbt68iZkzZ6qsYZCYmKhwd3vSpEkKxQFDQkLE91hUVBTWrVuncteHXbt2YfPmzQCEO4T62q2GiEgVxjmMc+oC45x/Mc5hnGNIWIOHqJJWrVph/vz5mDNnTrVtAwMDsW/fPgDA/v37MW7cOLz00kuwsbHBjRs3sHPnTmRmZqJ79+64dOlSPY9cO/b29rh48SL8/f0xduxYuLu7IyMjA1FRUUhMTAQgTDtdtmyZ0ucOHjwYgYGB2LFjBwoLC/HWW2+hf//+6Nu3L2xtbXH37l3s2rVL3KXD1NQUixcv1njnh5po3bo1Pv/8c3z00UeQyWT4/PPPsXfvXgwdOhQtW7ZEZmYm9u/fjwsXLgD4d2pudduo1pSdnR0sLS1RVFSEY8eO4YcffoCrqyvatm0Lb29vjBo1Cjt27IBMJsOJEyfw6quv4uWXX0br1q2Rk5ODS5cu4cCBA3j8+LHC81aeJj9p0iRERUUhMzMTx48fx6BBg/Dqq6+iffv2AIQ1+Dt37hTvYvbq1Qt9+/bV+DosLCzw+eefIygoCDKZDBs3bsTQoUPFu5sBAQEIDw/H9evXkZSUhIEDByIgIADu7u5o0qQJUlNTsWvXLvHOr7u7O0aNGqXV17K21yiRSPDtt99i7NixePjwIWJjYzFkyBAEBATAw8MDhYWFuHjxIvbs2YPS0lIAwHPPPYeJEycqjKNNmzYK77Fvv/0WBw4cwIgRI9CmTRs8ePAAcXFxCneyJ0+eDG9vb62ul4ioPjHOYZxTFxjnMM4BGOcYIiZ4iFR45ZVXsH//fhw+fFhtOx8fH8yYMQOhoaGQyWS4dOmSUoDTp08fLFq0qN6myNbU3LlzERYWhoSEBKxevVrpvKurK9atW6dwB0bewoULYW9vjx9//BFSqRSHDx9W+fWys7PDV199hRdffLHOr6Eyf39/WFhYYP78+cjPz0d8fDzi4+OV2rVo0QJLly7VKgDQlkQiwciRIxEREQGpVIrly5cDAIYMGYLQ0FB4e3vj448/xtKlS1FeXo7ExEQx4Kw81i+++AKfffYZMjMzcf36dZSXl4tTo+3s7LBhwwZMnjwZ6enpSE9Px9q1a1WOqU+fPli1apXW1/Lss89i9OjR+OWXXyCVSjFv3jz8+uuvMDMzg4WFBdavX4933nkHycnJyM3NrbJwZ9euXfH9999rvbtDXVyju7s7tm/fjunTpyMlJQUZGRlVTj8eOHAgli1bBjMz5V+Rld9jCQkJSEhIUGpnZmaGKVOm4L333tPqWomIdIFxDuOc2mKco4xxDhkCJniIqrBw4UJcuHBB5bRTeVOnTsWLL76I8PBwnDlzBpmZmWjevDk6deqEV199FSNHjkROTo6ORq05a2trbN++HT///DP27NmD27dvw8zMDO7u7hg+fDjGjx+v9heURCLBBx98gICAAGzfvh2nT5/G3bt3UVBQgGbNmqFDhw7o168fxowZA3t7e51d1+DBg/H8889j+/btOHLkCG7evIlHjx7BwcEB7du3x7Bhw+Dv76+wJWp9WbBgAezt7bF3716kp6fDzMwMRUVF4vmQkBD06NEDmzZtQnx8PDIzMyGRSGBnZ4eOHTuib9++CAgIgI2NDQ4ePIioqCjk5eXhyJEj8PPzE5+nU6dO+O2337Bz504cPnxYDEDMzMzg6OiIHj16YMSIEeJuDDUxe/ZsHD58GA8ePMC1a9fwww8/YOrUqQCAtm3bIioqCtHR0fjjjz+QmJiI7OxsSCQSODo6olu3bhg8eDCGDx+usGZfG3VxjR07dsSePXsQExODP/74A1evXkV2djYAobhg9+7dERAQgN69e6sdy+DBg+Hj44MdO3bg6NGjuHHjBvLz82Fubo527dqhV69eGDduHDp06FCjayUi0gXGOYxzaotxDuMcMjwSmaqFdURERERERERE1GCwyDIRERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQPHBA8RERERERERUQP3/7aEFEp3e0gtAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "accuracy_all_task = fn.ftebte_exp(\n", + " data1, classes1, model, num_tasks, num_trees, reps, shift=0\n", + ")\n", + "err, bte, fte, te = fn.get_metrics(accuracy_all_task, num_tasks)\n", + "fn.plot_ftebte(num_tasks, err, bte, fte, te)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We then run the FTE/BTE experiment with normalizing per image, so that each channel in each image is scaled to a range of [0,1]." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "accuracy_all_task = fn.ftebte_exp(\n", + " data2, classes2, model, num_tasks, num_trees, reps, shift=0\n", + ")\n", + "err, bte, fte, te = fn.get_metrics(accuracy_all_task, num_tasks)\n", + "fn.plot_ftebte(num_tasks, err, bte, fte, te)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It seems as if normalizing both across the dataset and within each image yield relatively similar results to not normalizing, so we did not perform further experiments to explore this area more at the current point in time." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/experiments/recruitment_exp.ipynb b/docs/experiments/recruitment_exp.ipynb new file mode 100644 index 0000000000..e0bbd11bfd --- /dev/null +++ b/docs/experiments/recruitment_exp.ipynb @@ -0,0 +1,642 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Recruitment Experiment" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "In developing omnidirectional learning algorithms, prior work has involved two main approaches: building and reallocating. Building involves adding new resources to support the arrival of new data, whereas reallocation involves compression of representations to make room for new ones. However, biologically, there is a spectrum between these two modes.\n", + "\n", + "In order to examine whether current resources could be better leveraged, we test a range of approaches: **recruitment** of the best-performing existing trees, **building** new trees completely (the default approach used by omnidirectional forests), ignoring all prior trees (essentially an uncertainty forest), and a **hybrid** between building and recruitment.\n", + "\n", + "This experiment examines the performance of these four approaches based on the available training sample size." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 1, + "source": [ + "import numpy as np\n", + "import keras\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import functions.recruitment_functions as fn" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "**Note:** This notebook tutorial uses functions stored externally within `functions/recruitment_functions.py` to simplify presentation of code. These functions are imported above, along with other libraries." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Recruitment Within Datasets: CIFAR10x10" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### The CIFAR-100 Dataset\n", + "\n", + "The classification problem that we examine in this tutorial makes use of the [CIFAR-100 dataset](https://www.cs.toronto.edu/~kriz/cifar.html), which is a labeled subset of the 80 million tiny images dataset. There are 100 classes (\"fine\" labels), containing 600 32x32-pixel images each (500 training and 100 testing). These 100 classes are grouped into 20 superclasses (\"coarse\" labels). Let's import the data:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 10, + "source": [ + "# import data \n", + "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "To give a quick overview of what these data look like, let's plot the first five images in the training dataset." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 11, + "source": [ + "# plot example data\n", + "plt.figure(figsize=(15,3))\n", + "plt.imshow(np.hstack((X_train[0],X_train[1],X_train[2],X_train[3],X_train[4])))\n", + "plt.show()" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### The Experiment" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Now that we have imported the CIFAR-100 dataset, we can prepare to run the experiment. The function for running the experiment, `experiment`, can be found within `functions/recruitment_functions.py`." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", + "- `ntrees`: number of trees\n", + "- `reps`: number of repetitions to run the experiment for\n", + "- `estimation_set`: size of set used to train for 10th task, given as proportion (`1-estimation_set` is the size of the set used for validation, the selection of best trees)\n", + "- `num_points_per_task`: total number of points per run\n", + "- `num_points_per_forest`: number of points per forest (each training iteration/task)\n", + "- `task_10_sample`: number of samples to train on for the 10th task" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 12, + "source": [ + "############################\n", + "### Main hyperparameters ###\n", + "############################\n", + "ntrees = 50\n", + "reps = 4 #use 30 reps for the paper plot\n", + "estimation_set = 0.63\n", + "num_points_per_task = 5000 \n", + "num_points_per_forest = 500 \n", + "task_10_sample = 10*np.array([10, 50, 100, 200, 350, 500])" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Because the images are presented as 3D arrays, where the third dimension contains the values of the red, blue, and green channels, respectively, and are divided into training and testing sets of size 500 and 100, as mentioned earlier, we must do a little more preprocessing to get these data into a form suited for the progressive learner.\n", + "\n", + "Here, we recombine the pre-established training and testing sets into one large dataset and reshape the arrays into a 1-dimensional string of numbers. We then call the `sort_data` command to divide the data into training and testing sets for each task." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 13, + "source": [ + "# reformat data\n", + "data_x = np.concatenate([X_train, X_test])\n", + "data_x = data_x.reshape((data_x.shape[0], data_x.shape[1] * data_x.shape[2] * data_x.shape[3]))\n", + "data_y = np.concatenate([y_train, y_test])\n", + "data_y = data_y[:, 0]\n", + "\n", + "# sort data\n", + "train_x_across_task, train_y_across_task, test_x_across_task, test_y_across_task = fn.sort_data(data_x,data_y,num_points_per_task)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "To replicate the experiment found in [Vogelstein, et al. (2020)](https://arxiv.org/pdf/2004.12908.pdf), we use the hyperparameter values established previously to train a lifelong forest on the first nine CIFAR 10x10 tasks, where we have `50` trees (`ntrees`) and `500` samples (`num_points_per_forest`) for each set.\n", + "\n", + "For the 10th task, we use training sample sizes ranging from `100` to `5000` (`task_10_sample`) and obtain generalization errors for each of the following approaches:\n", + "1. **Building (default for omnidirectional forests)**, which involves training `ntrees=50` new trees,\n", + "2. **Uncertainty forest**, which ignores all prior trees,\n", + "3. **Recruiting**, which selects the `ntrees=50` (out of all 450 existing trees) that perform best on the newly introduced 10th task, and\n", + "4. **Hybrid**, which both builds `ntrees/2=25` new trees and recruits the `ntrees/2=25` best-performing trees.\n", + "\n", + "Let's call our `experiment` function and give it a run!" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 14, + "source": [ + "# run the experiment\n", + "mean_acc_dict, std_acc_dict = fn.experiment(\n", + " train_x_across_task, \n", + " train_y_across_task, \n", + " test_x_across_task, \n", + " test_y_across_task,\n", + " ntrees, \n", + " reps, \n", + " estimation_set, \n", + " num_points_per_task,\n", + " num_points_per_forest, \n", + " task_10_sample\n", + ")" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "doing 100 samples for 0 th rep\n", + "doing 100 samples for 1 th rep\n", + "doing 100 samples for 2 th rep\n", + "doing 100 samples for 3 th rep\n", + "doing 500 samples for 0 th rep\n", + "doing 500 samples for 1 th rep\n", + "doing 500 samples for 2 th rep\n", + "doing 500 samples for 3 th rep\n", + "doing 1000 samples for 0 th rep\n", + "doing 1000 samples for 1 th rep\n", + "doing 1000 samples for 2 th rep\n" + ] + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "As you can see from the code above, our `experiment` function returns two dictionaries,`mean_acc_dict` and `std_acc_dict`, that respectively contain the means and standard deviations of the generalization errors for each approach (building, UF, recruiting, hybrid) over all repetitions. The dictionary keys correspond to each approach." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### Visualizing the Results" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Let's visualize the results of the experiment through the `recruitment_plot` function, which can be found in `functions/recruitment_functions.py`." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": null, + "source": [ + "# plot results\n", + "fn.recruitment_plot(mean_acc_dict, std_acc_dict, task_10_sample)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": { + "scrolled": false + } + }, + { + "cell_type": "markdown", + "source": [ + "From these results, we see that lifelong forests outperform all other approaches except at 5000 task 10 samples, which illustrate how relative performance depends on available resources and sample size." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Recruitment Between Datasets: MNIST/Fashion-MNIST" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Another thing that is of interest is whether we are able to show improvement in performance *between* similar datasets and how the four schemes (recruitment, building, UF, and hybrid) impact this performance. For this, we look to the MNIST and Fashion-MNIST datasets." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### MNIST & Fashion-MNIST Datasets\n", + "\n", + "The MNIST dataset contains 60,000 training samples and 10,000 testing samples of handwritten numerical digits (from 0-9), presented as 28x28 grayscale images. Fashion-MNIST, similarly, also contains 60,000 training and 10,000 testing samples in the form of 28x28 grayscale images, and it was intended to serve as an alternative to MNIST for benchmarking machine learning algorithms. These features make the two datasets ideal for studying recruitment between two datasets due to their similarity in structure." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### Recruitment on MNIST and Fashion-MNIST Individually\n", + "Before we are able to examine the recruitment performance between datasets, it is important that\n", + "we first look at their individual performance, so that we have a rough benchmark for how these\n", + "datasets will perform. We use the same hyperparameters for the benchmarking recruitment, as follows:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 2, + "source": [ + "############################\n", + "### Main hyperparameters ###\n", + "############################\n", + "ntrees = 50\n", + "n_tasks = 5\n", + "reps = 5 \n", + "estimation_set = 0.63\n", + "num_points_per_task = 10000\n", + "num_points_per_forest = 1000 \n", + "test_points_per_task = 1000\n", + "task_10_sample = 10*np.array([10, 50, 100, 200, 350, 500, 1000])" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "As can be seen above, we are using 5 tasks for each dataset, meaning that each task contains the data\n", + "for two numbers (in the case of MNIST) or two clothing types (in the case of Fashion-MNIST)." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Recruitment on MNIST\n", + "\n", + "The MNIST results are as follows:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 3, + "source": [ + "# import and sort data \n", + "(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n", + "train_x_across_task, train_y_across_task, test_x_across_task, test_y_across_task = fn.sort_data_mnist(x_train, y_train, x_test, y_test, num_points_per_task, test_points_per_task, n_tasks)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 4, + "source": [ + "# run the experiment\n", + "mean_acc_dict, std_acc_dict = fn.experiment_mnist(\n", + " train_x_across_task, \n", + " train_y_across_task, \n", + " test_x_across_task, \n", + " test_y_across_task,\n", + " ntrees, \n", + " n_tasks,\n", + " reps, \n", + " estimation_set, \n", + " num_points_per_task,\n", + " num_points_per_forest, \n", + " task_10_sample\n", + ")" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 5, + "source": [ + "# plot results\n", + "fn.recruitment_plot_mnist(mean_acc_dict, std_acc_dict, task_10_sample)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Recruitment on Fashion-MNIST\n", + "Likewise, the Fashion-MNIST results are as follows:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 6, + "source": [ + "# import and sort data\n", + "(x_train, y_train), (x_test, y_test) = keras.datasets.fashion_mnist.load_data()\n", + "train_x_across_task, train_y_across_task, test_x_across_task, test_y_across_task = fn.sort_data_mnist(x_train, y_train, x_test, y_test, num_points_per_task, test_points_per_task, n_tasks)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 7, + "source": [ + "# run the experiment\n", + "mean_acc_dict, std_acc_dict = fn.experiment_mnist(\n", + " train_x_across_task, \n", + " train_y_across_task, \n", + " test_x_across_task, \n", + " test_y_across_task,\n", + " ntrees, \n", + " n_tasks,\n", + " reps, \n", + " estimation_set, \n", + " num_points_per_task,\n", + " num_points_per_forest, \n", + " task_10_sample\n", + ")" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 8, + "source": [ + "# plot results\n", + "fn.recruitment_plot_mnist(mean_acc_dict, std_acc_dict, task_10_sample)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Both MNIST and Fashion-MNIST display improvement in generalization error as the number of samples on the last task increases for all schemes except recruiting forests." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "### Recruitment Between MNIST and Fashion-MNIST\n", + "\n", + "Now that we have the data for the individual datasets, let's look at the performance between the two.\n", + "Essentially, we set the MNIST data as the first task and Fashion-MNIST as the second task, with\n", + "ten labels in each task. For this, we use the following hyperparameters:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 9, + "source": [ + "############################\n", + "### Main hyperparameters ###\n", + "############################\n", + "ntrees = 50\n", + "n_tasks = 2\n", + "reps = 5 #30\n", + "estimation_set = 0.63\n", + "num_points_per_task = 50000 \n", + "num_points_per_forest = 25000 \n", + "test_points_per_task = 10000\n", + "task_10_sample = 10*np.array([10, 50, 100, 500, 1000, 2500, 5000])" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Let's run the experiment, as before.\n", + "\n", + "First, we load the data:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 10, + "source": [ + "# import data \n", + "(mnist_x_train, mnist_y_train), (mnist_x_test, mnist_y_test) = keras.datasets.mnist.load_data()\n", + "(fmnist_x_train, fmnist_y_train), (fmnist_x_test, fmnist_y_test) = keras.datasets.fashion_mnist.load_data()" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Then, we reformat it and sort into train and test samples:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 11, + "source": [ + "# reformat data\n", + "x_train = np.concatenate((mnist_x_train, fmnist_x_train), axis=0)\n", + "x_test = np.concatenate((mnist_x_test, fmnist_x_test), axis=0)\n", + "y_train = np.concatenate((mnist_y_train, fmnist_y_train + 10), axis=0)\n", + "y_test = np.concatenate((mnist_y_test, fmnist_y_test + 10), axis=0)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 12, + "source": [ + "# sort data\n", + "train_x_across_task, train_y_across_task, test_x_across_task, test_y_across_task = fn.sort_data_mnist(x_train, y_train, x_test, y_test, num_points_per_task, test_points_per_task, n_tasks)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Next, we run the experiment:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 13, + "source": [ + "# run the experiment\n", + "mean_acc_dict, std_acc_dict = fn.experiment_mnist(\n", + " train_x_across_task, \n", + " train_y_across_task, \n", + " test_x_across_task, \n", + " test_y_across_task,\n", + " ntrees, \n", + " n_tasks,\n", + " reps, \n", + " estimation_set, \n", + " num_points_per_task,\n", + " num_points_per_forest, \n", + " task_10_sample\n", + ")" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "And plot the results:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 14, + "source": [ + "# plot results\n", + "fn.recruitment_plot_mnist_between(mean_acc_dict, std_acc_dict, task_10_sample)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "We can see that when performed between datasets, there is still evidence of recruitment, but the recruiting scheme becomes progressively worse in comparison for this example." + ], + "metadata": {} + } + ], + "metadata": { + "kernelspec": { + "name": "python3", + "display_name": "Python 3.8.3 64-bit ('proglearn': conda)" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + }, + "interpreter": { + "hash": "139864aabd290972d7a327a720f92c31cd48dab9898d3ede71c289531c45c249" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/docs/experiments/rotation_cifar.ipynb b/docs/experiments/rotation_cifar.ipynb new file mode 100644 index 0000000000..ea5572138c --- /dev/null +++ b/docs/experiments/rotation_cifar.ipynb @@ -0,0 +1,217 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Rotation CIFAR Experiment\n", + "\n", + "This experiment will use images from the **CIFAR-100** database (https://www.cs.toronto.edu/~kriz/cifar.html) and showcase the backward transfer efficiency of algorithms in the **ProgLearn** project (https://github.com/neurodata/ProgLearn) as the images are rotated." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "# Import necessary packages\n", + "import numpy as np\n", + "import keras\n", + "from multiprocessing import Pool\n", + "from functools import partial" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Create array to store errors\n", + "errors_array = []" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Loads and reshapes data sets\n", + "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", + "\n", + "# Joins the training and testing arrays into one\n", + "data_x = np.concatenate([X_train, X_test]) \n", + "data_y = np.concatenate([y_train, y_test]) \n", + "data_y = data_y[:, 0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Hyperparameters\n", + "\n", + "Hyperparameters determine how the model will run. \n", + "\n", + "`granularity` refers to the amount by which the angle will be increased each time. Setting this value at 1 will cause the algorithm to test every whole number rotation angle between 0 and 180 degrees.\n", + "\n", + "`reps` refers to the number of repetitions tested for each angle of rotation. For each repetition, the data is randomly resampled.\n", + "\n", + "`max_depth` refers to the maximum depth of each tree in the omnidirectional forest. If this value is not specified, it defaults to a max tree depth of 30." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "### MAIN HYPERPARAMS ###\n", + "granularity = 4\n", + "reps = 10 #use 100 reps for the main draft plot\n", + "max_depth = 30\n", + "########################" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Algorithms\n", + "\n", + "The progressive-learning repo contains two main algorithms, **Omnidirectional Forest** (**Odif**) and **Omnidirectional Network** (**Odin**), within `forest.py` and `network.py`, respectively. The main difference is that Odif uses random forests while Odin uses deep neural networks. Both algorithms, unlike LwF, EWC, Online_EWC, and SI, have been shown to achieve both forward and backward knowledge transfer. \n", + "\n", + "For the purposes of this experiment, the Odif algorithm will be used." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Experiment\n", + "\n", + "If the chosen algorithm is trained on both straight up-and-down CIFAR images and rotated CIFAR images, rather than just straight up-and-down CIFAR images, will it perform better (achieve a higher backward transfer efficiency) when tested on straight up-and-down CIFAR images? How does the angle at which training images are rotated affect these results?\n", + "\n", + "At a rotation angle of 0 degrees, the rotated images simply provide additional straight up-and-down CIFAR training data, so the backward transfer efficiency at this angle show whether or not the chosen algorithm can even achieve backward knowledge transfer. As the angle of rotation increases, the rotated images become less and less similar to the original dataset, so the backward transfer efficiency should logically decrease, while still being above 1." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Odif\n", + "from functions.rotation_cifar_functions import odif_experiment\n", + "\n", + "# Generate set of angles to test for BTE\n", + "angles = np.arange(0, 181, granularity)\n", + "\n", + "# Parallel processing\n", + "with Pool(48) as p:\n", + " # Multiple sets of errors for each set of angles are appended to a larger array containing errors for all angles\n", + " # Calling LF_experiment will run the experiment at a new angle of rotation\n", + " errors_array.append(\n", + " p.map(partial(odif_experiment, data_x=data_x, data_y=data_y, reps=reps, ntrees=10, acorn=1), angles)\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Rotation CIFAR Plot\n", + "\n", + "This section takes the results of the experiment and plots the backward transfer efficiency against the angle of rotation for the images in **CIFAR-100**.\n", + "\n", + "## Expected Results\n", + "\n", + "If done correctly, the plot should show that Backward Transfer Efficiency (BTE) is greater than 1 regardless of rotation, but the BTE should decrease as the angle of rotation is increased. The more the number of reps and the finer the granularity, the smoother this downward sloping curve should look." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate BTE for each angle of rotation\n", + "bte = []\n", + "for angle in angles:\n", + " orig_error, transfer_error = errors_array[0][int(angle/granularity)] # (angle/granularity) gives the index of the errors for that angle\n", + " bte.append(orig_error / transfer_error) # (original error/transfer error) gives the BTE" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plot angle of rotation vs. BTE\n", + "from functions.rotation_cifar_functions import plot_bte\n", + "plot_bte(bte, angles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## FAQs\n", + "\n", + "### Why am I getting an \"out of memory\" error?\n", + "`Pool(8)` in the previous cell allows for parallel processing, so the number within the parenthesis should be, at max, the number of cores in the device on which this notebook is being run. Even if a warning is produced, the results of the experimented should not be affected.\n", + "\n", + "### Why is this taking so long to run? How can I speed it up to see if I am getting the expected outputs?\n", + "Decreasing the value of `reps`, decreasing the value of `max_depth`, or increasing the value of `granularity` will all decrease runtime at the cost of noisier results." + ] + } + ], + "metadata": { + "interpreter": { + "hash": "77d3befdf72f5c1a0d6b4996fdd6befdfb972b784410fca14e27e6ae1841315c" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/tutorials/sample_size_experiment.ipynb b/docs/experiments/sample_size_experiment.ipynb similarity index 100% rename from docs/tutorials/sample_size_experiment.ipynb rename to docs/experiments/sample_size_experiment.ipynb diff --git a/docs/experiments/spiral_exp.ipynb b/docs/experiments/spiral_exp.ipynb new file mode 100644 index 0000000000..cf18711622 --- /dev/null +++ b/docs/experiments/spiral_exp.ipynb @@ -0,0 +1,260 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Spiral Experiment\n", + "\n", + "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", + "\n", + "Here, a specific arrangement of data is used to test the effectiveness of omnidirectional learning forests on this arrangement of data." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There are a few simple steps we'll take to implement this experiment." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Function Import" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we'll import the necessary packages and modules. The functions for this experiment in particular are stored in `functions/spiral_exp_functions.py`" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "import functions.spiral_exp_functions as fn\n", + "from proglearn.sims import generate_spirals" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data Creation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we'll create our data. The data we're testing in this tutorial is sprial data. Which, as you'd expect, has clusters of points that are shaped in spirals. We denote an n-spiral as a spiral with n spokes." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "spiral3, y_spiral3 = generate_spirals(750, 3, noise=0.8)\n", + "spiral5, y_spiral5 = generate_spirals(750, 5, noise=0.4)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's visualize our data before doing any learning. The `plot_spirals` function is perfect for doing this." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fn.plot_spirals(spiral3,y_spiral3,3,spiral5,y_spiral5,5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training/Experiment" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we'll prepare to train and test our learner. \n", + "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", + "- `mc_rep`: number of repetitions to run the omnidirectional learning algorithm for. Use less reps if your computer has fewer cores.\n", + "- `n_test`: number of data points in the test set\n", + "- `n_trees`: number of trees\n", + "- `n_spiral3`: array containing number of 3-spiral data points fed to learner\n", + "- `n_spiral5`: array containing number of 5-spiral data points fed to learner" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "mc_rep = 1000\n", + "n_test = 1000\n", + "n_trees = 10\n", + "n_spiral3 = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)\n", + "n_spiral5 = (100*np.arange(0.25, 7.50, step=0.25)).astype(int)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, we're ready to run the experiment. Since we're going to *run* the experiment, we'll use the `run` function. Intuitive, right?" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "mean_error,std_error,mean_te,std_te = fn.run(n_spiral3,n_spiral5, mc_rep,n_test,n_trees)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What's the output you ask? Good question!\n", + "- `mean_error`: The mean values of the error\n", + "- `std_error`: The standard deviations of the error\n", + "- `mean_te`: The mean values of the transfer efficiency\n", + "- `std_te`: The standard deviations of the transfer efficiency" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It would be convenient if there were a simple function to plot our results. Your wish is my command. We'll use `plot_results` to plot our results using the output of the `run` function and the size of the input data." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fn.plot_results(n_spiral3,n_spiral5,mean_error,std_error,mean_te, std_te)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generalization Error for 3-spiral data (bottom left plot)\n", + "\n", + "By plotting the generalization error for 3-spiral data, we can see how the \n", + "introduction of 5-spiral data influenced the performance of both the omnidirectional forest and the random forest. \n", + "\n", + "In the bottom left plot, we see that when 5-spiral data is available, the omnidirectional forest outperforms random forests." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generalization Error for 5-spiral data (bottom middle plot)\n", + "\n", + "Similarly, by plotting the generalization error for 5-spiral data, we can also see how the presence of 5-spiral data influenced the performance of both algorithms. \n", + "\n", + "In the bottom middle plot, we see that given 5-spiral data is available, the progressive learning forest outperforms random forests on classifying 5-spiral data." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Transfer Efficiency for data (bottom right plot)\n", + "\n", + "Given the generalization errors plotted above, we can find the transfer efficiency as a ratio of the generalization error for omnidirectional learning to random forests. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", + "\n", + "Omnidirectional learning forests demonstrate both positive forward and backward transfer in this environment, whereas this is not true for random forests" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Voila! The spiral experiment is complete" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "77d3befdf72f5c1a0d6b4996fdd6befdfb972b784410fca14e27e6ae1841315c" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/experiments/spoken_digit_exp.ipynb b/docs/experiments/spoken_digit_exp.ipynb new file mode 100644 index 0000000000..b19a8bcbe2 --- /dev/null +++ b/docs/experiments/spoken_digit_exp.ipynb @@ -0,0 +1,351 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Spoken Digit Experiment for Omnidirectional Learning\n", + "\n", + "\n", + "---\n", + "\n", + "This experiment will use an audio dataset named **spoken_digit** to test the performance of omnidirectional learning on audio classification tasks. The dataset consists of 3,000 recordings of digit (from 0 to 9) pronounced in English, by 6 speakers: \n", + "\n", + "*6 (speakers) x 10 (digits) x 50 (repetitions) = 3,000 (audio files)*\n", + "\n", + "Think MNIST for audio.\n", + "\n", + "\n", + "### Import necessary packages and modules" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import IPython.display as ipd\n", + "from joblib import Parallel, delayed" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load spoken_digit data and extract features\n", + "To try on the up-to-date version of spoken_digit, we download the dataset from github repo (https://github.com/Jakobovski/free-spoken-digit-dataset) to our local disk. Find and copy the path of recordings. Here, the path is `D:/Python Exploration/free-spoken-digit-dataset/recordings/`.\n", + "\n", + "Then we use **librosa** to load audio file, and extract the **STFT** (Short-time Fourier transform) feature. Since each audio has different durations, the STFT spectrograms vary in width. For convenience, we regularize the STFT spectrograms all to 28 by 28 images, using function provided by **opencv**. \n", + "\n", + "*Please ensure that you have **librosa** and **opencv** installed to run this experiment.*\n", + "\n", + "---\n", + "After running the block below, you will get:\n", + "\n", + "`audio_data`: List of audio data, each item contains audio samples of a single digit. length = 3000\n", + "\n", + "`x_spec_mini`: Numpy array of STFT spectrograms that have been resized to 28 by 28 image. shape = (3000, 28, 28)\n", + "\n", + "`y_number`: Numpy array of labels indicating which digit is spoken. shape = (3000,)\n", + "\n", + "`y_speaker`: Numpy array of first letter of the speaker. shape = (3000,)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from functions.spoken_digit_functions import load_spoken_digit\n", + "\n", + "path_recordings = \"./recordings/\"\n", + "\n", + "audio_data, x_spec_mini, y_number, y_speaker = load_spoken_digit(path_recordings)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Inspect data\n", + "\n", + "Before running omnidirectional learning, let's take a look at our audio data and spectrograms.\n", + "\n", + "First, let's play some audio of the digits!" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This is number 4 spoken by speaker Y \n", + "Duration: 3857 samples in 0.482125 seconds\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " Your browser does not support the audio element.\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num = 2999 # choose from 0 to 2999\n", + "\n", + "print(\n", + " \"This is number\",\n", + " y_number[num],\n", + " \"spoken by speaker\",\n", + " y_speaker[num].upper(),\n", + " \"\\nDuration:\",\n", + " audio_data[num].shape[0],\n", + " \"samples in\",\n", + " audio_data[num].shape[0] / 8000,\n", + " \"seconds\",\n", + ")\n", + "ipd.Audio(audio_data[num], rate=8000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's display STFT spectrograms of a same digit spoken by different speakers, and see if there is any distinguishable differences." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from functions.spoken_digit_functions import display_spectrogram\n", + "\n", + "num = 9 # choose from 0 to 9\n", + "display_spectrogram(x_spec_mini, y_number, y_speaker, num)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run Omnidirectional Learning\n", + "\n", + "\n", + "\n", + "The Omnidirectional Learning project aims to improve program performance on sequentially learned tasks, proposing a lifelong learning approach.\n", + "\n", + "It contains two different algorithms: **Omnidirectional Forests** (**Odif**) and **Omnidirectional Network** (**Odin**). **Odif** uses Uncertainy Forest as transformers, while **Odin** uses deep networks. These two algorithms achieve both forward knowledge transfer and backward knowledge transfer. \n", + "\n", + "You can set `model` as 'Odif' or 'Odin' to choose which algorithm to use.\n", + "\n", + "---\n", + "\n", + "We divide tasks by speaker. As there are 6 speakers in total, we have 6 tasks. \n", + "\n", + "For each task at hand, we check whether the former tasks would forward-transfer knowledge to it, as well as whether the later tasks would backward-transfer knowledge to it, so that it has increased accuracy with more tasks seen. \n", + "\n", + "Normally, we repeat the experiment for several times and average the results to get the expectation of generalization error. Choose `num_repetition` according to your computing power and time.\n", + "\n", + "##### Prepare input data and start omnidirectional learning!" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "x = x_spec_mini.reshape(3000, 28, 28, 1) # (3000,28,28,1)\n", + "y = y_number # (3000,)\n", + "y_speaker = y_speaker # (3000,), dtype: string" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from functions.spoken_digit_functions import single_experiment\n", + "\n", + "# Odin Model\n", + "model = \"odin\"\n", + "ntrees = 10 # number of trees, used when model is Odif\n", + "shuffle = False\n", + "num_repetition = 4 # fewer than actual figure to reduce running time\n", + "\n", + "accuracy_list = Parallel(n_jobs=1)(\n", + " delayed(single_experiment)(x, y, y_speaker, ntrees, model, shuffle)\n", + " for _ in range(num_repetition)\n", + ")\n", + "\n", + "accuracy_all_avg = np.average(accuracy_list, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Calculate and plot transfer efficiency\n", + "\n", + "\n", + "\n", + "- The **transfer efficiency** of algorithm $f$ for given task $t$ with sample size $n$ is $$TE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{t}))]/\\mathbb{E}[R^t(f(D_n))].$$\n", + "\n", + " We say that algorithm $f$ has transfer learned for task $t$ with data $D_n$ if and only if $TE_n^t(f)>1$.\n", + "\n", + "- The **forward transfer efficiency** of $f$ for task $t$ given $n$ samples is\n", + "$$FTE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{t}))]/\\mathbb{E}[R^t(f(D_n^{1$.\n", + "\n", + "- The **backward transfer efficiency** of $f$ for task $t$ given $n$ samples is\n", + "$$BTE_n^t(f):=\\mathbb{E}[R^t(f(D_n^{1$.\n", + "\n", + "\n", + "\n", + "\n", + "*For more details about FTE,BTE,TE and so on, please refer to the paper by [Vogelstein, et al. (2020)](https://arxiv.org/abs/2004.12908)*" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from functions.spoken_digit_functions import calculate_results, plot_results\n", + "\n", + "acc, bte, fte, te = calculate_results(accuracy_all_avg)\n", + "plot_results(acc, bte, fte, te, model)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Shuffled speaker\n", + "\n", + "\n", + "The default order of speakers is George followed by Jackson, Lucas, Nicolas, Theo, Yweweler. But we offer a variable `shuffle`. If we set `shuffle = True`, the order of speakers will be shuffled before each repetition starts.\n", + "\n", + "By shuffling the speakers and averaging the results, we can see the intrinsic trend of Omnidirectional Learning, i.e. the transfer efficiency increases monotonously with the 'noises' canceled out.\n", + "\n", + "---\n", + "Here we use **Odif** for less computation cost, and set a reasonable number of repetitions." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "model = \"odif\"\n", + "ntrees = 10 # number of trees\n", + "shuffle = True\n", + "num_repetition = 4 # fewer than actual figure to reduce running time\n", + "\n", + "accuracy_list = Parallel(n_jobs=4)(\n", + " delayed(single_experiment)(x, y, y_speaker, ntrees, model, shuffle)\n", + " for _ in range(num_repetition)\n", + ")\n", + "\n", + "accuracy_all_shuffle_avg = np.average(accuracy_list, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "acc, bte, fte, te = calculate_results(accuracy_all_shuffle_avg)\n", + "plot_results(acc, bte, fte, te, model)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/experiments/xor_rxor_exp.ipynb b/docs/experiments/xor_rxor_exp.ipynb new file mode 100644 index 0000000000..ba52b7b020 --- /dev/null +++ b/docs/experiments/xor_rxor_exp.ipynb @@ -0,0 +1,428 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Gaussian XOR and Gaussian R-XOR Experiment\n", + "\n", + "One key goal of omnidirectional learning is to be able to continually improve upon past performance with the introduction of new data, without forgetting too much of the past tasks. This transfer of information can be evaluated using a variety of metrics; however, here, we use a generalization of Pearl's transfer-benefit ratio (TBR) in both the forward and backward directions." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "As described in [Vogelstein, et al. (2020)](https://arxiv.org/pdf/2004.12908.pdf), the forward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", + "\n", + "$$FTE^t (f_n) := \\mathbb{E} [R^t (f^{t}_n )/R^t (f^{1$, the algorithm demonstrates positive forward transfer, i.e. past task data has been used to improve performance on the current task.\n", + "\n", + "Similarly, the backward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", + "\n", + "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{1$, the algorithm demonstrates positive backward transfer, i.e. data from the current task has been used to improve performance on past tasks." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Omnidirectional learning in a simple environment can therefore be demonstrated using two simple tasks: Gaussian XOR and Gaussian R-XOR. Here, forward transfer efficiency is the ratio of generalization errors for R-XOR, whereas backward transfer efficiency is the ratio of generalization errors for XOR. These two tasks share the same discriminant boundaries, so learning can be easily transferred between them.\n", + "\n", + "This experiment compares the performance of omnidirectional forests to uncertainty forests in undergoing these tasks." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 1, + "source": [ + "import numpy as np\n", + "\n", + "import functions.xor_rxor_functions as fn\n", + "from proglearn.sims import generate_gaussian_parity" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "**Note:** This notebook tutorial uses functions stored externally within `functions/xor_rxor_functions.py`, to simplify presentation of code. These functions are imported above, along with other libraries." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Classification Problem\n", + "\n", + "First, let's visualize Gaussian XOR and R-XOR.\n", + "\n", + "Gaussian XOR is a two-class classification problem, where...\n", + "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = 0.25I$.\n", + "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = 0.25I$.\n", + "\n", + "Gaussian R-XOR has the same distribution as Gaussian XOR, but with the class labels at a 45 degree angle" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Within the proglearn package, we can make use of the simulations within the `sims` folder to generate simulated data. The `generate_gaussian_parity` function within `gaussian_sim.py` can be used to create the Gaussian XOR and R-XOR problems. Let's generate data and plot it to see what these problems look like!" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 2, + "source": [ + "# call function to return gaussian xor and rxor data:\n", + "X_xor, y_xor = generate_gaussian_parity(1000)\n", + "X_rxor, y_rxor = generate_gaussian_parity(1000, angle_params=np.pi/4)\n", + "\n", + "# plot and format:\n", + "fn.plot_xor_rxor(X_xor, y_xor, 'Gaussian XOR')\n", + "fn.plot_xor_rxor(X_rxor, y_rxor, 'Gaussian R-XOR')" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## The Experiment\n", + "\n", + "Now that we have generated the data, we can prepare to run the experiment. The function for running the experiment, `experiment`, can be found within `functions/xor_rxor_functions.py`." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", + "- `mc_rep`: number of repetitions to run the omnidirectional learning algorithm for\n", + "- `n_test`: number of xor/rxor data points in the test set\n", + "- `n_trees`: number of trees\n", + "- `n_xor`: array containing number of xor data points fed to learner, ranges from 50 to 725 in increments of 25\n", + "- `n_rxor`: array containing number of rxor data points fed to learner, ranges from 50 to 750 in increments of 25" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 3, + "source": [ + "# define hyperparameters:\n", + "mc_rep = 1000\n", + "n_test = 1000 \n", + "n_trees = 10\n", + "n_xor = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)\n", + "n_rxor = (100*np.arange(0.25, 7.50, step=0.25)).astype(int)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Once those are determined, the experiment can be initialized and performed. We iterate over the values in `n_xor` and `n_rxor` sequentially, running each experiment for the number of iterations declared in `mc_rep`." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 4, + "source": [ + "# running the experiment:\n", + "\n", + "# create empty arrays for storing results\n", + "mean_error = np.zeros((6, len(n_xor)+len(n_rxor)))\n", + "std_error = np.zeros((6, len(n_xor)+len(n_rxor)))\n", + "mean_te = np.zeros((4, len(n_xor)+len(n_rxor)))\n", + "std_te = np.zeros((4, len(n_xor)+len(n_rxor)))\n", + "\n", + "# run the experiment\n", + "mean_error, std_error, mean_te, std_te = fn.run(mc_rep, n_test, n_trees,n_xor,n_rxor, mean_error, std_error, mean_te, std_te)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Great! The experiment should now be complete, with the results stored in four arrays: `mean_error`, `std_error`, `mean_te`, and `std_te`." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Visualizing the Results\n", + "\n", + "Now that the experiment is complete, the results can be visualized by extracting the data from these arrays and plotting it. \n", + "\n", + "Here, we again utilize functions from `functions/xor_rxor_functions.py` to help in plotting:\n", + "- `plot_error-and-eff`: plots generalization error and transfer efficiency for omnidirectional and random forests" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 5, + "source": [ + "# plot data\n", + "%matplotlib inline\n", + "fn.plot_error_and_eff(n_xor, n_rxor, mean_error, mean_te, 'XOR', 'RXOR')" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": { + "scrolled": true + } + }, + { + "cell_type": "markdown", + "source": [ + "#### Generalization Error for XOR Data (bottom left plot)\n", + "\n", + "By plotting the generalization error for XOR data, we can see how the \n", + "introduction of RXOR data influenced the performance of both the omnidirectional learning forest and the random forest. \n", + "\n", + "In the bottom left plot, we see that when RXOR data is available, the omnidirectional learning forest outperforms random forests." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Generalization Error for RXOR Data (bottom middle plot)\n", + "\n", + "Similarly, by plotting the generalization error for RXOR data, we can also see how the presence of XOR data influenced the performance of both algorithms. \n", + "\n", + "In the bottom middle plot, we see that given XOR data is available, the omnidirectional learning forest outperforms random forests on classifying RXOR data." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Transfer Efficiency for XOR Data (bottom right plot)\n", + "\n", + "Given the generalization errors plotted above, we can find the transfer efficiency as a ratio of the generalization error for omnidirectinal learning to random forests. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", + "\n", + "Omnidirectional learning forests demonstrate both positive forward and backward transfer in this environment" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Various Angles vs BTE" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "First, we'll set the variables we'll use:\n", + "- `mc_rep`: number of repetitions to run the omnidirectional learning algorithm for\n", + "- `angle_sweep`: angles to test\n", + "- `task1_sample`: number of task 1 samples\n", + "- `task2_sample`: number of task 2 samples" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 6, + "source": [ + "angle_sweep = range(0,90,1)\n", + "task1_sample = 100\n", + "task2_sample = 100\n", + "mc_rep = 10000 #reduce the number of repetitions for reduced runtime" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Next, we'll run the experiment:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 7, + "source": [ + "mean_te = fn.bte_v_angle(angle_sweep, task1_sample, task2_sample, mc_rep)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Lastly, plot the results:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 8, + "source": [ + "fn.plot_bte_v_angle(mean_te)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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4Ysmiug5I22RmRxMKb32XmnePGPAEcKa7b8p4hJJ9/ftH7VdegQULoEePuKIRESl+JbAeA+pR8dPdl7v7ccD+wA3A88Bria83AAe6+3fdvTyrkUr2dOsGQ4eG9saN8NvfxhuPiEixS16PUaQ7SwDM3eOOoWiYWXlZWVlZeXkB5lsTJ8LBB4d2s2bwwQcazRARyZbtt4fFi0N71izYa69442mcWmuh11VWPK3KIIl1G1KIhg/XaIaISC4sXRolGK1bVz1DqsjUNV3yTmJNRkpm1tbMbgOey0xYknNmcM01Uf9f/wprM0REJLOSp0oGDIhOwy5CdSUZa4DHzOwOMyur6YHE6MUcYCxwd4bjk1zSaIaISPaVyKJPqDvJ2JOwbfUM4G0z+/ag+8Toxd8IoxfNgaPdfUy2ApUc0GiGiEj2lciiT6gjyXD31e5+LnBE4tmnzew2M/suYfTibMLoRW93fyrr0Ur2aTRDRCR73Eui0meleu8uSUyX3AacmLi0FDhXyUWkoHeXJNNOExGR7PjwQ9h559Du2BG++CKMIhe2hu0uqWZvYGDShzWl7oqhUoiqj2Y89FCs4YiIFI3qJ68WfoKRUp1Jhpm1MrMbgReBLYDjgeHAN8AjZna3mdX3pFYpBGZw6qlRP7n8rYiINFwJLfqEuutk7A/MAi4EHiasvXjM3acQFoX+DTgNmGNmR2Y7WMmhAQOitpIMEZHMeOWVqF3kiz6hjjUZZrYR+Bo4391rHDNPbGG9HdgOuMvdz8pGoIWgaNZkAKxdC1tuGaZLAMrLoazGXcwiIlIf06bBAQeEdpMm8OmnsM028caUGQ1ek/EYYfSi1kl5d38B6EM4RO2MhkQneahVK+jdO+rrCHgRkcb52c+i9ujRxZJgpFTXFtYT3f2Luj7E3Ve6+w+AozIWmcRPUyYiIpkxaRK8+GJoN20KP/95rOHkSjq7S+rk7s9k8vMkZkoyREQaz73qKMaYMbDTTrGFk0u1Jhlm1qOhH2pmPRv6Xskj/ftH7Rkz4otDRKSQPf88vPxyaDdvXjXhKHKpRjLeM7NbzWzn+n6Yme1uZn8H5jU+NInd3nuHYT2A99+HlSvjjUdEpNBUH8UYOxa6d48vnhxLlWSMAg4B5pnZK2b2MzP7jpntZGYdzKyjme1sZiPN7JdmNp1QanwocHIugpcsSz6C2F2LP0VE0vXUU1FtjJYt4aqr4o0nx2qt2Onuj5rZk8DpwA+BXwC17Xc14FVgDHCfu2/McJwSlwED4O23Q3vGjKgSqIiIpOZedYHn//wPdOsWXzwxSFkW3N03AP8C/mVm3YFhwB7ANoSE4wvC6MVkd1+c5VglDv37wx13hLYWf4qI1N9zz0UjwK1bw5VXxhtPDOp99oi7LwTuymIsko+0w0REpGGefTZqjx0LnTvHF0tMMrqFVYpQ376hMh3AvHmwenW88YiIFIpJk6L2yJGxhREnJRmSWps2sPvuoe0OM2fGG4+ISCH4+muYPTu0mzaNyomXGCUZUrfkehmaMhERqduUKeEXM4CBA8NZUCVISYbUTesyRETSkzxVMnx4XFHETkmG1C05yVDlTxGRuinJAOo46l3SU1RHvSdbtQratQtDf02ahMqfbdrEHZWISH76+mvYeuvwZ2bTprBsWbFPlzT4qPfoE8xONLN6b3mVItK2Ley6a2hXVMCsWfHGIyKSz5LXYwwYUOwJRkrpTJc8CHxiZr83s92zFZDkKU2ZiIjUj6ZKvpVOknEm8C5wKTDHzF42szFmpnHzUqDFnyIi9aMk41v1TjLc/W53Hw7sAlwH9AD+CSw1s7+Z2b5ZiVDyQ/I21mnTYNOm+GIREclXy5ZFU8olXB+jUtq7S9x9vrv/BNgBOAZ4ETgLeMXMZpnZhWa2VYbjlLj17w8tWoT2e+/Bb38bbzwiIvmo+nqMdu3ijSdmDd7C6u4V7v4k8HPgYcLq0j2BG4HFZvZHM2udmTAldltuCZdfHvWvuQYmTowtHBGRvKSpkioalGSY2ZZmdo6ZvQbMBI4HxgOHEU5qfQq4BLgtU4FKHrj6ahg2LLQrKuDUU+HTT+ONSUQknyQnGZV/XpawtOpkmNkQ4AfAiUAb4APgH8Ad7v5FtWd/B/zQ3csyF25+K9o6GcmWLAmHpn2R+M998MEwYUKYexQRKWXLlkHHjlFNoWXLSmW6JCN1Mt4DJgGjgCeAEe6+q7v/vnqCkfAWULqbg4tV165wzz1giZ+pF1+EX/863phERPKB1mNsJp3pEgcuB7q5+6nuXteE/FOA6mkUo0MPhZ/+NOr/4heqnSEiovUYm0lnC+tu7v5Hd/+qns+vcvf3Gh6a5LWrr47+J3KHRx+NNRwRkdhNnhy1lWQA6U2X7GlmY1Pc/4GZ9clMWJL3mjaF738/6r/zTnyxiIjEbeNGePvtqL///vHFkkfSmS75BXBSivsnAlc3LhwpKL17R+05c+KLQ0QkbvPnw4YNod2tG7RvH288eSKdJGNfINU6jInA4MaFIwVl992jBaDz58OaNfHGIyISl3ffjdp77BFfHHkmnSRjayDVeoxlwDaNC0cKSuvWsNNOoV1RAfPmxRuPiEhc5s6N2rtrz0OldJKML0m9W2QPQqIhpaRP0jIcTZmISKlKTjI0kvGtdJKMF4GxZrZz9RuJaz9IPCOlROsyREQ0XVKLZmk8+2vgOGCGmf2NUE4coC9wbtIzUkqSRzK0w0RESlFFRdUkQ9Ml36p3kuHu75vZd4A7gEsJxbkqS4l+AJzl7u/W8nYpVpouEZFSt2hRtPB9m21g663jjSePpDOSgbtPM7PdCDtNKqdN3gfecPeKTAcnBWDnnaF587B1a+FCWLFCpXRFpLRo0Wet0koyIBzxDryaeEmpa9ECdtklmiqZOxcGayeziJQQLfqsVUOPem9mZtuYWafqr0wHKAVA6zJEpJRpPUat0ikrbmZ2sZnNB9YCnwJLa3hJqdG6DBEpZRrJqFW6u0v+l7DI85+kLswlpURJhoiUKndtX00hnSRjDPAC8B139+yEIwVJtTJEpFQtXQrLl4d2u3bQpUu88eSZdNZkdAAeVoIhm9lxR2jVKrQ//RS+0iCXiJSI6qMYlec5CZBekjEX6JytQKSANW1adYhQiz9FpFRo+2pK6SQZvwLONTMlGrI5rcsQkVKkRZ8ppbMmYxdgETDPzB4EPgY2VXvG3f33mQpOCojWZYhIKdKiz5TSSTJ+l9QeW8szDijJKEUayRCRUqTpkpTSSTL0b09qV70gl7sWQIlIcfvyS/jii9Bu3Rq6d483njyUzgFp72UzEClw228PW24JK1fC11+HXSbayiUixSx5qmS33aBJg4poF7WGlhXfzswGmFnbTAckBcpM6zJEpLRo0Wed0koyzOxQM5sLLAReJ5zGSuLckjlmdmwWYpRCoXUZIlJKdGZJndI5u+RA4ClgA3Ad8O2Eu7t/DnwGnJrpAKWAKMkQkVKikYw6pTOScTWhINcA4E813J8CDMxEUOkws5Zmdp2ZLTGzNWb2qpmNqMf79jWzW83sTTNbb2aqZNpYOo1VREqJtq/WKZ0kYxBwl7tvJGxVrW4x8VQEvQO4BPg/4CKgAnjGzPar430jgbMT7flZi66UJCcZs2fD6tXxxSIikk0rVsDixaHdvDn06hVvPHkqnSSjKbAmxf2OwMbGhZMeM9sXGAVc7u6Xu/ttwMGEomHX1fH2vwDt3H0A8Fx2Iy0R224bzUuuWQNPPRVvPCIi2TJvXtTeZRdolk5FiNKRTpLxHnBAivtHALMbF07aTiSsEflH5QV3XwvcDhxoZrXuoXT3z9w9VdIkDTFqVNS+//744hARyabZSX/dadFnrdJJMu4ATjGz0USLPt3MWpjZ9cAQwl/uudQPmOfuq6pdf50QY98cxyOnnBK1n346DCmKiBSbF1+M2gNzvhyxYKSTZIwDHgPuJiwAdeBOYDnw/4D73P2OTAdYhy7A0hquV17rmslvZmblqV5AWSa/X0HadVfom8jt1q2Df/873nhERDKtogKefz7qH3ZYfLHkuXonGe5e4e4nAaMJIwULCGswXgK+5+6nZyXC1FoD62q4vjbpvuSapkxEpJjNnBlKigN06gR77x1vPHks7ZUq7n4fcF8WYmmINUDLGq63SrqfMe7ePtV9jWYknHIKXHllaE+YAF99BR07xhuTiEimPJe0V+DQQ1VOPIVC/zezlDBlUl3ltSU5jEUq9egBgwaF9saN8MgjsYYjIpJREyZEbU2VpFTrSIaZnQzg7g8m9+tS+XyOzAQuMrO21RZ/Jv6GY1YOY5Fko0bBa6+F9gMPwNlnp35eRKQQrFoFU6dG/UMPjS+WAmDuNRe6NLMKwuLO1u6+Pqmf6vxud/emmQ+zZmY2CHgVuMTdb0xcawnMAT5z9wMT13YA2rj7vFo+50bgIndv1NnkZlZeVlZWVl5e3piPKQ6ffBJOZnUPQ4mffAKd46jVJiKSQU89BUcdFdp77QWz9LssKfKCVGsyjgBw9/XJ/Xzi7q+Z2UPA9YmaGPOBM4HuwJikR+8ChpH0L8LMugPfS3QrD3r7aaI/y92fyG70Ra5bNxgyBF56KazEHj8eLrgg7qhERBoneT2GpkrqVGuS4e7PpernkTOAXyW+bkUoCDbS3aemfBf0TLwvWWX/TkBJRmONGhWSDAhTJkoyRKTQJa/H+M534oujQNQ6XSLp03RJNZ9/Dl26hJEMgEWLwhSKiEghWrgwLGwHaNUKli0LX6XW6ZJ0jnq/ysxmpLg/3cyuSDcyKWKdOsGIpANxVZhLRApZcgGuYcOUYNRDOltYTyIc516bKcApKe5LKToiaSnPW2/FF4eISGNpPUba0kkydiSUE6/NvMQzIpHkSnizc31+nohIhmzaBC+8EPW1HqNe0kkyjNTVLNsBzRsXjhSdPfeM2u+8E/5HFREpNNOnQ+V6u65dYY894o2nQKSTZLwLHJXi/tGE4+BFIttsExZ/AqxZA/PnxxuPiEhDVK/yaY0qq1Qy0j3q/UAz+5uZfXuGh5m1N7O/AgcA/8pwfFIM9toramvKREQKUfJ6DE2V1Fs6ScZfgIeBs4HPzexDM/sQ+Bw4B/g34Th4kaqUZIhIIVu9OjomAarumpOU0jnq3RNHvY8BJhLWaBjwH+AMdz/eVXRDaqIkQ0QK2WuvhcMeAfr0CdPAUi8NOer9LkKZbpH6UZIhIoWssnIxhOMSpN4K/ah3KQS77QbNEvnsxx/DihXxxiMiko7kJGPo0PjiKECFftS7FIIWLUKiMWdO6M+ZA/vvH29MIiL1sX49vPpq1NdIRlpSTZfcD7iZPZY4ifV+6nHUO6AkQza3115RkjF7tpIMESkMb74Ztt8D9OoVTpiWekvnqPeRhCRCJH177QX33hvaWpchIoVC6zEaJVWSUQa8Utlx92ezH44ULS3+FJFCpPUYjZJq4ed9wLdpm5l9Y2Y6AE0aJjnJePtt0G5nEcl3mzbB1KlRX0lG2lIlGd8ArZP6rYCm2Q1HilbXrtChQ2ivWAGLFsUbj4hIXd5+G5YvD+0uXWBHnQGarlTTJXOB88xsMbAscW1HM9s31Qe6++uZCk6KiFkYzZg0KfRnz4bu3WMNSUQkpepTJTqvJG2pkoyfEsqIP53oO/CLxKsmlnhGox1Ss+pJxtFHxxqOiEhKU6ZEbU2VNEitSYa7P29mvYDBQBfgr4QD0DRSIQ2jxZ8iUijctbMkA1IV4+oElLv7E4n+L4An3f3RXAUnRUZJhogUivffh88/D+2ttoLeveONp0ClWvi5FDgxqT+TaG2GSPp6947mNN9/PypwIyKSb5KnSoYMgSY6haMhUv1b20jVkY7vAF2zG44UtTZtYOedQ7uiAubOjTceEZHaaKokI1IlGQuAkWbWKumaihtI4+y5Z9TWlImI5CsV4cqIVEnGX4CTgdVm9k3i2r8SRblqe63OfshS0LQuQ0Ty3aJFsHBhaG+xBfTrF288BSzV7pIbzew94BDC7pJTgBnAwhzFJsVISYaI5Lvk9Rj77QfNm8cXS4FLVScDd38GeAbAzEYB49z93lwEJkUqOcmYNStsE1OBGxHJJ5MnR21NlTRKOstldweeyFYgUq0Uyn4AACAASURBVCJ69IB27UL7q69UXlxE8k9ykjFsWHxxFIGUSYaZ9Tez9gDu/p67r0zxbA8zOy3TAUqRadIEBg6M+m+8EV8sIiLVLV0attgDtGwJ+6Y8SUPqUNdIxhvAyMqOmW1lZp+b2YE1PHsAcHcmg5Milfw/7esqICsieSR5V8mgQdCqVe3PSp3qSjKqT5Y3AbYGWmQnHCkJ++wTtTWSISL5JDnJ0FRJo6mEmeRe8kjG9OmwaVN8sYiIJNN6jIxSkiG5160bdO4c2qtWwXvvxRuPiAjAl1/CO++EdvPmYfuqNIqSDMk9M63LEJH8kzxVss8+4SgEaZSGJhkqLy6No3UZIpJvVB8j41IW40q40MyOTbRbEBKMq83sh9We2yGjkUlxS04yNJIhIvlAiz4zztxrH5Qws4o0P8/dvWnjQipcZlZeVlZWVl5eHnco+e/rr6Fjx9Bu3hxWrgx70kVE4rBsWfgzyR2aNg39LbeMO6pCUWvZ5rqmS1qn+dIEltRPhw7Qq1dob9igc0xEJF4vvxwSDID+/ZVgZEjKJMPd16X7ylXgUgS0+FNE8oW2rmaFdpdIfLT4U0TyhRZ9ZoWSDImPRjJEJB+sXAkzZoS2GQwZEm88RURJhsSnX7+wwApg3jxYsSLeeESkNE2dChWJfQ577w3t28cbTxFRkiHxadMG+vQJbXd488144xGR0qT1GFmjJEPipXUZIhI3JRlZU68kw8xamdnJZjYg2wFJiUlel6EkQ0Rybd26qqOoBx4YXyxFqL4jGeuB/wP2retBkbSo8qeIxGn2bFi/PrR79YJttok3niJTryTD3SuAxUDb7IYjJad3b2jdOrQXLYLPPos3HhEpLckjqMm/9EhGpLMm425gtJk1z1YwUoKaNw+7TCppykREcklJRlalk2S8QDgcbbqZnW1mw81s3+qvLMUpxSx5XcbEifHFISKlR0lGVqU8IK3Kg5sfllb9jYYOSNMBaQ3xzDMwcmRod+8OH38cCuKIiGTTqlVQVhZqZDRpEmr1bLFF3FEVolr/wK7PUe+VzmPzxEKk8UaMCMVvysth4UKYPl2/UYhI9s2YERXh2mMPJRhZUO8kw93/ms1ApIS1aAHf/S7ceWfojx+vJENEsk9TJVmnYlySH046KWo/9FB05LKISLYoyci6tJIMM+tiZrea2YdmtsLMhiWub5O43j87YUrRO+QQaNcutD/+GN56K954RKT4KcnIunonGWa2A/AmcAbwCbAF0BTA3b8AhgFjsxCjlIKWLcOUSaXx4+OLRUSK31dfwUcfhXaLFrDXXvHGU6TSGcn4DSGp2BM4gc1Xkz4JDM1QXFKKTjwxamvKRESyafr0qL333iHRkIxLJ8k4DLjV3T+m5l0mC4HtMhKVlKbDDoMttwztDz8M5X5FRLJBUyU5kU6SUUaYJqlNU0DVQKXhWrWCo4+O+g89FF8sIlLclGTkRDpJxmJg9xT3BwEfNS4cKXmaMhGRXFCSkRPpJBmPAT8ws12r3zCzI4FTAK3Wk8Y5/PCoIM7778OcOfHGIyLF55NPYOnS0N5iC9htt3jjKWLpJBm/Bj4D3gBuJ6zLuMTMJgKPA+8Cf8h4hFJaWreGo46K+tplIiKZljyKMWAANC3Z0zCyrt5JhruXA4OB+4DhhN0lRwIDgX8Cw9x9dRZilFJTvTCXiEgmaaokZ2pNMhKnqnZIvubuy9z9XKAD0B3oAWzl7me7+7KsRiql44gjwiJQgHffhSVL4o1HRIqLkoycSTWS8QpweGXHzOYm1l7g7hXu/l93X+TuG7MdpJSYNm1g8OCoP2VKfLGISHFxr1ojQ0lGVqVKMtYBLZP6uxG2sYpk35AhUVtJhohkyvz5sCwx8N6xI/TsGW88RS7VKawfAqeZ2TSgPHGtnZl1SvWB7v55poKTEpacZLz0UnxxiEhxee21qD1wIFj14tWSSamSjN8BdwFzE30H/px4paJlutJ4++0XVnxv2hS2sS5bBlttFXdUIlLo7r8/au+3X3xxlIhakwx3v9fMZgEHA12AK4CngHdyFJuUsrZtoV+/MHfqDlOnVt3aKiKSriVL4Omno/7o0fHFUiJSjWTg7u+QSCrM7Ergfne/NxeBiTB0aLRAa8oUJRki0jh33gkVFaE9fDjstFOs4ZSCdIpxtSbUyBDJDS3+FJFMqaiA22+P+j/4QXyxlJB0koxWhLoY3zKz7czs92Z2u5kNz2RgIhx4YNSePh3WrIkvFhEpbC+9FHaWAJSVwQknxBtPiUgnybiFpLNJzKwNMBW4DDgLeN7MDshseFLStt4adk+cybdhQ9VV4SIi6UgexTjttHCEgWRdOknGfoSFn5VOAbYHjgd2JGx5vSJzoYmgKRMRabzy8qrnII0dG18sJSadJKMLsDCpfwQww90fc/cFhPNL+mcwNhElGSLSePfdB2vXhnbfvtBff1XlSjpJxkbCuoxKw4DJSf2vgI6ZCErkW8lJxrRpsFFV7EUkTf/4R9TWgs+cSifJ+AA41oIjgK2B/yTd3x7QIWmSWd27w/bbh/bq1fDWW/HGIyKFZeZMmDEjtFu2VG2MHEsnyfgrMAL4FHiUMHXyQtL9A1ChLskGTZmISEMlL/g84QRVDs6xeicZ7n47cC4wHXgEGOnu6wHMrCPQjaTdJyIZoyRDRBpiwwa4N6l+pKZKcs7cPe4YioaZlZeVlZWVl5fX/bDU3zvvQJ8+ob311vD55zrUSETq9sILcOihob399rBgATRJZwBf6qnWP5D1b1vy3+67Q4cOof3llzBvXrzxiEhhePjhqH388UowYpDy7JLqzKwLMBbYmbCTpHr24u5+ZIZiEwmaNAnVPx9/PPQnTYqKdImI1GTTJnj00ah//PHxxVLC6p1kmNkhwL8JZ5isp+adJJp7kew4+OAoyfjnP+GHP4w3HhHJb6++Cp99FtqdOsEBKkgdh3TGjq4DVgJD3b2Vu3ep4dU1S3FKqRs9Omw/g3COyeuvxxuPiOS35KmSY4+Fpk3ji6WEpZNk7AH8yd1fzlYwIrXaemsYNSrqjxsXXywikt/c4ZFHor6mSmKTTpLxFaBjMCU+F1wQtR94IOwyERGpbsYMWJg4BaN9ezjooHjjKWHpJBn3AcdmKxCROg0cCPvuG9rr11ctsiMiUil5FOPoo6FFi/hiKXHpJBl/BtqY2YNmtr+ZdTGzTtVf2QpUBKg6mvGXv+gsExHZnKZK8ka9i3GZWQVh94iRYheJu5fs6hoV48qBtWtDUZ0vvwz9Rx8Ni7pERADmzoXevUO7TZvwZ0Xr1vHGVPxqLcaVTp2M69EWVYlbq1Zw9tlw7bWhP26ckgwRiSSPYowcqQQjZiornkEayciRRYugZ0+oqAj9uXNVnEtEgv79o9Oa770XTj013nhKg8qKSxHZYQc45piof+ut8cUiIvnjo4+iBKNFCzhSBajj1qAkw8x6mdlAM9u3+ivTAYrU6Pzzo/add4bTFkWktD32WNQ+9FBo1y6+WARI/+ySi4CrCOeW1KZkF35KDo0YEUY0Fi2ClSvhzTdh8OC4oxKROD35ZNTWWq28UO+RDDM7E7gB+BD4FWEO5lbgFmAFMB04LwsximzOrGqBnUmTYgtFRPLA8uUwZUrUHzkyvljkW+lMl5xPSCQOACprOj/q7hcDewE7At9kNjyRFIYNi9qTJ8cXh4jE7/nno7o5/ftDVx2llQ/SPbvkfg/bURLL+sPUiLv/F7gNuDSz4YmkMHx41H75Za3LECllyVMlRx0VXxxSRTpJRgXhFFaIRiw6JN3/CNglE0GJ1EuPHqEwF8CqVeG8AhEpPRUV8MwzUV+7SvJGOknGYqAHgLuvBT4B9k+63w9QgQjJHbOqoxmaMhEpTdOnRwcmduoUzjmSvJBOkjEFSF5JMx44z8xuNbO/AucCz2UyOJE6Ja/L0OJPkdKUPFUyciQ0UQmofJHOFtabgEPNrLW7rwF+DvQG/idxfzJweYbjE0mt+rqMjRuhWVo7s0Wk0D31VNTWVEleaXRZ8cTJq5vc/avMhFS4VFY8Bu5hXcYnn4T+66/DPvvEG5OI5M6SJdCtW2g3awZffaUiXLnXuLLiZtY2MS2y2Zm57v65EgyJjdZliJS2p5+O2kOHKsHIM/VKMtx9FXAWsFV2wxFpgOQkQ+syREqLpkryWjqrY+YBO2QrEJEGS178OWUKbNoUXywikjvr1oUiXJVUHyPvpJNk/AH4oZn1yE4oIg20005Rdb8VK2DmzHjjEZHcmDwZVq8O7Z12gl1UqinfpLMMvxuhNsZcM3sU+IDNy4i7u/8+U8GJ1ItZGM24777QnzwZBgyINyYRyT5NleS9eu8uMbOKup/C3b1kT2HV7pIY3XYbnHtuaB99NDz+eLzxiEj27bwzfPhhaD//PBxySLzxlK5ad5ekM5KxewYCEcmOmtZlNC3ZfFek+C1ZEiUYrVvDkCHxxiM1SplkmNlQ4F13/8Ld38tRTCLp22UX6NwZPv0Uysth9mzo1y/uqEQkW155JWoPGgQtW8YXi9SqroWfE4FDcxGISKNUrsuoNHFifLGISPZNmxa199svvjgkpbqSjFrnWUTyzogRUVtrMkSKW3KSsf/+tT8nsdIpMlI8jjkmjGhAWJdReSqjiBSXtWthxoyoP3hwfLFISkoypHhsuy0ccEBoV1RoNEOkWM2YAevXh/Yuu8DWW8cbj9SqPrtLjjezner5ee7uv2pMQCKNcvzx4TRWgEcegbFj441HRDJPUyUFI2WdjERtDKf+azNUJ0N1MuK1YAH07BnaLVqEKZOyslhDEpEMO+GE8EsEwN/+BuecE2880qg6Gb8FXshcLCJZ1KMH9O8fDac+/TScemrcUYlIprhrJKOA1CfJeNfddX62FI7jj48WhT3yiJIMkWKyYEGohwPhWPc99og1HElNCz+l+Bx/fNR++mlYsya+WEQks5JHMQYPhib6ayyf6b+OFJ/dd4fddgvtb76BCRPijUdEMie50qemSvJeXUnGQmBVLgJpCDNraWbXmdkSM1tjZq+a2Yi63wlm1s3MHjSzcjNbYWaPmVnPbMcsOZI8mlG5QExECp/WYxSUep/Cmo/M7D7gBOBG4ENgDDAQGObur6R4X1tgBrAl8CdgI3AJYSdNX3df1sB4tLskX7z5JgwcGNrt24ddJs2bxxuTiDTOqlVht1hFRSi8V14e1mVI3GrdXVKw0yVmti8wCrjc3S9399uAg4FFwHV1vP08YCdgpLv/3t1vAA4DuhGSDSl0/fvDDjuEdnk5TJoUazgikgFvvBESDIA+fZRgFICCTTKAE4ENwD8qL7j7WuB24EAz61LHe19197eS3jsP+A9wcnbClZwyg+OOi/qaMhEpfDoUreDUZwtrvuoHzHP36mtGXicM3fQFllZ/k5k1AfYCbqvhM18HDjWzNu7+TQ3vrWseJONVn+64447NrvXu3Zt99tmHDRs2cM8992x2v2/fvvTt25dvvvmGBx98cLP7AwcOpE+fPixfvpxHH310s/v77bcfu+66K19++SVPPvnkZveHDh3KjjvuyKeffsqzzz672f0RI0aw/fbb89///pf//Oc/m90//PDD6dy5Mx999BEvvfTSZvePOuoott56a9577z1eeWXzWa/jjjuOsrIy5syZw/Tp0ze7f/LJJ9OmTRs+2HNPdk5cW3PvvTy4zz54kyaMHj2a5s2b88Ybb/DOO+9s9v4xY8YAMG3aNN5///0q95o3b87o0aMBmDx5Mh9//HGV+23atOHkk0Oe+sILL7B48eIq99u1a8fxifUizz77LJ9WbsVL6NixI0cffTQATzzxBF999VWV+507d+bwww8H4JFHHmHFihVV7m+33XYccsghADz44IN8803VH+OePXsyLHFa7T333MOGDRuq3N9ll13YPzHPrZ+9hv/szZw5k5kzZ252Xz97jfzZS0oypmzaxPyk5/SzV/+fvX322Wez+9lSyCMZXaghiUi61rWW93UAWqZ4ryU+Wwrc6r59WZMYTm29YgXbzpsXc0Qi0mAVFfDqq992P9+pvqddSJwKduGnmc0H3nH3Y6pd3xGYD/zI3cfV8L7tCes2LnP3P1W7933CdMue7j6nATFp4We+ufBCuOWW0P7+9+H22+ONR0QaZt68sD0dwoFon38enboscSu+hZ/AGsKIRHWtku7X9j4a+F4pNKedFrXHjw9HRItI4Zk6NWrvt58SjAJR65oMM3uxAZ/n7l6vOhUZsJSapzUqry2p5X1fA+tSvNepeSpFCtGgQbDjjvDRR7BiRagAmlxDQ0QKw/jxUXvIkPjikLSkWvi5I+Ev3GRbAFsn2pVzAu0TX78kt4W7ZgIXmVnbaos/ByW+zqrpTe5eYWZvE+ppVDcI+KCmRZ9SoMzCaMavfx3699yjJEOk0Hz2WdXKvSedFF8skpZap0vcvYe796x8ASMI0wg3AV3dvYO7dyAssLwZ+CbxTK6MB5oDYysvmFlL4CxgqrsvSVzbwcx2q+G9g82sX9J7dyXU2Xgo24FLjiVW5APw5JOhboaIFI7774/qYwwZEk5bloJQ74WfZvZv4Bt3r/FISzO7H2jl7sdmML66YnoQOBa4gbDY80xgH+Agd5+aeGYSoQKoJb1vS+AtwsjMHwkVPy8lsfXV3avu3ap/PFr4ma8GDIhOZr399rAIVEQKwz77QOW2zb/9Dc45J954pLqMLPwcDqQ68n1S4plcOoMwsnIGYTSlOaGK59RUb3L3lYRYXwZ+BvyKMP0yrKEJhuS55AWgNdR3EJE8NW9elGC0aKGpkgKTTpLhwO4p7vduZCxpc/e17v5jd+/i7q3cfV93f6HaM8OTRzGSri9295Pcvczdt3T3Y9z9o9xFLzk1alS0Gn3iRFhS27pgEckryb8UHHkkbLVVfLFI2tJJMiYAPzSzM8wseerBzOxM4NzEMyL5p1s3OOig0HYPc7wikt/c4f/+L+qffnp8sUiDpJNkXAp8AvwL+MTMJpvZ5MS1fxK2jF6a+RBFMkRTJiKFZdo0WLAgtNu3DyMZUlDqnWS4+2LCeSDXAcuAfROvZYlrfRPPiOSnE04Ic7oQFoGqzLhIfksexTj5ZGhZUw1FyWdpVfx09+Xu/hN37+3urROv3olr2lIh+a36b0J//Wt8sYhIauvXwwMPRH1NlRSkeiUZZtbWzOab2cXZDkgkq5K3rt56K1Q7yVJE8sQzz8CyZaHdvTsccEC88UiD1CvJSFTU7EhuK3qKZN6RR4ZzDwA2bICf/jTeeESkZslTJaNHQ5NCPmqrdKXzX+1Vai7FLVI4zOD666P+vfdGRbpEJD+Ul8MTT0T95Kq9UlDSSTKuBE42s7OSt7CKFJwDD4TvfjfqX3FFfLGIyOYeegjWrQvt/v1hjz3ijUcaLJ2y4i8C3YEehJNM5xPOK0mWy1NY847KiheQd9+FPn2i8xCeew4OOyzemEQkGDoUpkwJ7RtvhIsuijceqUutAw/pJBkL2PxU1s0kDlMrSUoyCsw558Df/x7ae+8dpk007ysSr48+gl69Qrtp01Cdt1OneGOSujT+7JLqp7LW9spMvCI5cM010Lp1aM+apQJdIvkgecHn4YcrwShw+rVNSlfXrnDZZVH/5z+Ppk9EJPfc4e67o/73vhdfLJIR9Z4ukbppuqQArVgBPXpE+/FnzgxTJyKSe6+8AvvvH9rt2sGnn0ajjZLPMnLUO2bWy8zGmdkbZvahmX1U7TW/8bGK5FC7dnDooVF/4sT4YhEpdcmjGCedpASjCNQ7yTCzPYEZwFigBbAjsBpoRdhxsglYlPkQRbKs8nRWUJIhEpd166qejnzGGfHFIhmTzkjGL4H1wN5A5TbVi9y9K+GY9/bA+ZkNTyQHkpOMyZNh06b4YhEpVU89FU1b9ugR6tlIwUsnyTgQuM3d3yPaymoA7v534Bngd5kNTyQHdtkFunQJ7eXLw7oMEcmt5KmS00/XdvIikc5/xS0JBbggjGgAbJF0fyohEREpLGaaMhGJ05dfhpGMStpVUjTSSTI+AzoDuPtKwnqMXZLubwU0zVxoIjmkJEMkPg88EA4sBBg0KIwuSlFolsazM6l6QNpk4CIze52QrFwAzMpgbCK5k5xkTJkCGzdCs3T+9xCRBrvrrqitUYyiks5Ixr3A1mZWuafoZ0AZMBH4D2Hh508yG55Ijuy4I2y/fWivXAlvvhlvPCKlYt48eP310G7eHEaNijceyah0yoo/4O5D3X1Nov8W0Bu4BLgQ2MvdX85OmCJZpnUZIvG4886offTR0LFjfLFIxjVq+a67/9fdb3b3P7v7R5kKSiQWSjJEcmvTpqpnlZx5ZnyxSFakU4zrx2bW38xqLR8qUtCSk4yXX4b162t/VkQab+JEWLw4tLfeOhyIJkUlnZGM64A3gK/M7FEz+5GZ9c5SXCK517079EwcJPzNN/DGG/HGI1LskqdKTjsNWrSILxbJinSSjD0Iay8mEuph3ATMNrOlZnafmZ1tZr2yEaRIzmjKRCQ3Vq6ERx6J+poqKUrpLPycl1h7cYK7bwP0B/4fYXTjCOCvwHvZCVMkR4YPj9pKMkSy5+GHw4ghQJ8+0K9fvPFIVjRm4ednwBfA18BKQolxHfoghS15JGPatHBok4hkXvJUyRlnhB1eUnTSWfjZ3syOSxz1/i6wGLiDsI31XsJoxlZZiVIkV7bbDnbaKbTXroVXX403HpFitHAhTJoU2k2ahLNKpCilU9LwS8JoxbvA88D/ApPcvTwbgYnE5qCD4MMPQ/uRR2DYsHjjESk2yYehHXZYdEChFJ10pkuaEE5fXQN8k3hpLFmKzzHHRO2//AXmz6/9WRFJz6ZNm0+VSNFKJ8noCpwJzAZOBp4FlpnZZDO72syGmJkOe5DCd+SRsN9+ob1hA1x+ebzxiBST8eOjkcJ27eDYY+ONR7LK3L1hbzTrCRwMjACGA9sC37j7lhmLrsCYWXlZWVlZeblmkArea6/B4MFRf/JkGDo0vnhEikFFBey5J8ydG/pXXQW//nW8MUkm1LpqtzG7S1pUexnQphGfJ5I/Bg0KxYEqXXpp+ANSRBpu/PgowWjbFi65JN54JOvS2V3S3czOMrO7zWwxMBf4M2Ek42XgYmDv7IQpEoNrr4VWrUL7zTerLlYTkfRUVMAvfxn1L7xQh6GVgHpPl5hZBdHCz5eBFxOvGe6uX/HQdElR+ulP4Te/Ce2uXeH992GLLeKNSaQQPfQQnHxyaLdtCwsWKMkoHhmZLrkGGAa0d/fD3f16d5+uBEOK2pVXQufOob1kCfz+9/HGI1KIKirgF7+I+j/6kRKMEpHOSEaZuy+v45k+7j4nI5EVII1kFKnbb4exY0O7dWt4553oIDURqdv48XDSSaHdti18/HE4dVWKRUZGMh43s1qPyDOzPYAX0olKpCCMGQN9+4b2mjVwwQXQwF1ZIiWn+ijGBRcowSgh6SQZ/YB7arphZrsC/yEU6BIpLk2bhqJclWcrPP10ONxJRFLbtAl+8hOYkxjg3mILuOyyeGOSnEonyTgJ+K6Z3ZJ80cx2IiwA3UComyFSfAYPhnPPjfoXXQQrVsQXj0i+++qrUNjuuuuiaxrFKDnpHPX+HHA2cL6Z/S98W5DrxcQjB7n7goxHKJIvrr0Wtt02tJcsgZ/9LN54RPLVm2/CgAHw3HPRtUMPhZ//PL6YJBZpFeNy9zuBq4Bfm9mVhCmSFsDB7q4DHqS4tW8PN9wQ9ceNC3+YikjknnvggAPCSauVrroKnnkG2qheY6lpUFlxMxsHnAd8AQx393czHVgh0u6SEuAO3/kOPP986A8YEEqQN20ab1wi+WDixDBisWlT6LdrF4rYJR86KMWo1t0ltSYZZpZqXKsJcAkwAXg76bq7+68aEmExUJJRIj78EPr0gXWJQ4hvvRV++MN4YxKJ26JFIen+8svQ790bHn0Udt453rgkFxqUZDSkyJa7e8n+Sqcko4T86lfR/HKXLuE4+Nat441JJC5r1sCQIdH04bbbwowZoUqulIIGJRndG/Kd3H1h3U8VJyUZJWTNGujVC5YuDf0bboCLL443JpE4uMNZZ8Gdd4Z+s2Zh2uTAA+ONS3Ip/SRD0qcko8SMGxfKIwN06gQffaRzTaT0/PnPYWtqpXHj4Pzz44tH4tD4ip9m1sHM9kpxfy8z2yrdyEQK1tixsN12of3552Fthkgpef31qiN4Y8bAeefFFo7kn3S2sF4P3JHi/r+AaxsVjUghadUqbM2rdN11sHJlfPGI5Nrll8PGjaE9YEDVyrgipJdkHAQ8keL+48AhjQtHpMB8//vQPbF86auv4JZbUj8vUiwmTYLJk0O7WTO4//6QeIskSSfJ6AosSnF/ceIZkdLRokXVyp9/+AMsT3lYsUjhc4err476Y8bATjvFFo7kr3SSjNVAqh0n3YF1jQtHpACdcUbYaQKwbBnceGO88Yhk26RJ8NJLod2sWTgETaQG6SQZrwFnmtmW1W8krp0BvJ6pwEQKRvPmVc9k+NOfdHiaFC93uOaaqD9mDPTsGVc0kufSSTL+AGwHTDOzE81sp8TrRGBa4t7vsxGkSN477bSosuGKFfCvf8Ubj0i2TJxYdRQjefGzSDXpnMI6kXBeyc7AA8B7idcDiWsXuPsL2QhSJO81awaXXhr1b745Or9BpFhUH8U46yzo0SOuaKQApF2My8y6AScDlat83gfGu/snGY6t4KgYV4lbvRq23z6sy4BwbsOxx8Ybk0gmvfgijBgR2s2awQcfKMkQyEQxrkru/om73+Du5ydeNynBECFU+zznnKivBaBSTDSKIQ2gsuIZpJEMYfHi8Adv5VTJjBnQr1+sIYlkxJQpMHRoaDdrFk4j7t6gI66k+NQ6ktEsrU8JZcN/AAwCtmLzkRB39xFphydSLLbbDk46KRQmArjpTTYTXwAAIABJREFUJrjjjlhDEsmI666L2mecoQRD6qXeIxmJU1mnEgpuLQfaAV8TJRtfAqvdvWT3MmkkQ4BwnsOgQaHdogUsXAidO4fh5meegUcegeOOgyOPjDdOkfqaPRv23ju0zWDuXNhtt3hjknySkTUZvwbaAyMIu0kMOIWQbFwLrASGNDxGkSKx776w336hvX59OM/hzTfDgrkjj4Tbb4cTT4Qvv4w3TpH6uv76qH3ccUowpN7SGclYAjzg7peYWUfgC+BQd/9P4v5jhJGM0VmLNs9pJEO+9eCDcMopod2yJayroRju/fdHz4jkqwULQsnwynVGr70WEmmRSEZGMjoCcxLtDYmvrZPuPw8cml5cIkXq+OPDdlaoOcEAmDAhd/GINNQf/xglGAcfrARD0pJOkvEF0CHRXgmsBXok3W9B1aRDpHQ1awY/+lHVa8ceW7US6IQJYZ2GSL764oswvVfpiivii0UKUjq7S94B9oawhcTMXgfOM7PHCcnKOcC8zIcoUqAuugg++gg++wwuuQSGDIGNG+Hii8NJrYsXw3vvaX5b8tctt8CaNaHdrx8cqsFqSU86Sca/gcvMrLW7rwF+CTwHfJy478DxGY5PpHC1aBEWfSZr1iwMOT/6aOhPmKAkQ/LTypUwblzUv/LKsLNEJA3pnF1yq7v3SiQYuPuLwH7ATcCfgKHu/nh2whQpIsm/DT7/fHxxiNTGPSQVlSXye/WCE06INyYpSGkV46rO3acD0zMUi0hpOOywqD1xYtjm2qJFfPGIVPfLX8Ktt0b9K66Apk3ji0cKVtpnl4hII/XqBT0TNetWr4ZXXok3HpFkt9xS9YySk0+G738/tnCksNWZZJjZ9mZ2kZn90Mw6JV2718w+NbPVZjbZzFSIS6S+kkczNGUi+eKee+DCC6P+YYfB3XdrFEMaLGWSYWa7AW8T1lz8GZhtZrsAk4BRQEugglDp83kzG5DVaEWKRfK6DNXLkHzw9NMwZkzUHzw4lMDXVJ40Ql0jGZcT6l9cDJwMlAMPA22Awe6+lbtvCXyHUKDryizGKlI8Dj4YmiT+95s+Hb7+Ot54pLR9/TWcemrYYg3Quzc89RRssUW8cUnBqyvJGAb83d1vcffxwCVAb+CP7v565UPu/jzwd3R2iUj9bLVVVDnRHf7zn3jjkdJ2002wYkVo77ADPPccdOiQ+j0i9VBXktEVmJ3UfzvxdW4Nz84hlB4XkfrQVlbJB8uXhySj0rXXQrdu8cUjRaWuJKMlsCapX9leW8Oz6+rxeSJSKXnxZ3KJ8fLycAhV5W+WItk0blxINAB23lmH9klGKSkQicugQbDllqG9cGEoQz54MHTsGL7uv39U0lkkG1atghtuiPo/+Yl2kkhG1acY10gz65xotyGUD///7d15mJPl1cfx72EVUMYdoVhBbRWtFlzrDioutHXfsS7Frby2ddeqrai4ayvaulMBl1KXutu3yquoxaIiomiRioobKmgBN2AQz/vHeWKeySSzkUwyM7/PdeVKcufOk5NMJjm51wPNrH9OPc0sEWmMjh1h0CB4MFko99pra97+2mtwyy21N1oTKZbrr4dPP43LffrA0KFlDUdaH/M6doE0s28aeTx39zabBpvZgqqqqqoFCxaUOxRpKa6/HoYPL3x7794waxZ07tx8MUnb8NVXsSjc3Llx/cYb4bjjyhuTtFQFN7WpryVjUJEDEZG0YcPgmWfg9deji2TXXaMbZbPN4sP//fdh3Dg49thyRyqtzc03ZxOM3r3hyCPLG4+0SnW2ZEjjqCVDiuaKK+CMM+LyuuvGlvAdlmurIZGsxYtjefs5c+L6tdfCiSeWNyZpyQq2ZGjgp0glOuGE7DoFb70F48eXNx5pPebOjYW3MgnGWmtFi5pICSjJEKlEK60EJ52UvX7RRfBNY4dIieS46y7YaCO4//5s2RlnQJcu5YtJWjUlGSKV6pe/hO7d4/Lrr8c+EiJNMXcuHHhgrIGRmU0CcPzxNTdEEykyJRkilWrllWv2k48cmV2wS6Sh/vEP2GQTuOeebNnaa0f5DTdoXQwpKSUZIpXspJOga9e4/PLL8PDD5Y1HWo7qajjtNNhjj+wsEoBjjoHp02uuOCtSIppdUkSaXSIlccop2VUZt9kGJk0CKziYW9qa6upIQNu1gxVXjJ1T58+Ho4+GF1/M1ltrLRgzBnbfvWyhSqtV8ANJSUYRKcmQkpgzJxZNqq6O608/DTtow2Mhtmbfdlt44YW66w0ZArfeCmuu2TxxSVujKawiLVavXnDEEdnrl16av96rr8aW8frh0HZMmFB3gtGpE1x9dXSzKcGQMlCSIdISnH56tovk0UfhlVdq3v7YYzBgQKwYOmyYpru2FXfckb3cq1fsotqrF1RVwY47wuTJsfGeutekTNRdUkTqLpGSOuAAuPfeuDx0KNx+e1yeMwf694d587J1TzoJfv97fbm0Zl9+CT16xDnAlCmwufaplLJQd4lIi3fmmdnL48fD22/DsmWRcKQTDIgm8gsvbN74pHk9+GA2wdhgg9jvRqTCKMkQaSm23BJ22SUuL1sGV10FF1wAEydGWbt2sP322frnnQfXXNPsYUozSXeVDB2qViupSOouKSJ1l0jJTZgAgwfH5U6dYOnS7EDPESPgrLNgr71ijEbGmDHaYbO1+eQT6NkzZpcAzJoVG56JlIe6S0RahV12yfa7V1dnE4ydd4Zzz4XOnWP58W22yd7nmGNg2rTmj1VK5667sgnGj36kBEMqlpIMkZbELFor0tZcM5rOM8tDd+sGjzwCm24a17/+OhZmWrq0eWOV0sntKhGpUEoyRFqaffeNgX4QSccdd8RqjmmrrBK/dldYIa5PmwaXXNK8cUppvP02PPtsXG7fHg46qLzxiNRBSYZIS9O+fSyu9Mtfxvmuu+avt8EGsalaxoUXxvLT0rLdeWf28u67a5EtqWga+FlEGvgpFWfZsphxMnlyXB8wAJ57Djp2zNZZujRmpmg3zsrnDhtvDDNmxPU77oDDDitvTCIa+CnSRrVvH3tWdO4c1196KbpNpkyJlo3ttosulQ4d4ny11WIb8B13zH6RSXl98w289x489VRslJf5u3TrBnvvXd7YROqhlowiUkuGVKwrr4ylyRtj8OCaU2GleS1dCiefDKNHw+LFtW9Pr/oqUl5qyRBp004+OaY6FpJvIacJE+CDD0oXU1v3zjtw992Q70dJdTUcfDD86U/5EwyA448vbXwiRaAkQ6QtyHSbrLFGXF9zzdjZ9c47Y0nyZctiiep582CnnaKOe82pklI8t90GG24YM0P69YP77sveVl0d5emy1VeHrbeGQw+N9VCefBJ22KH54xZpJHWXFJG6S6TizZ8fq0Wut14M9sxn7Fg46qi4vPHGMH26lqwulurqaFW67rratx1wQCwVf+KJ8NBD2fJTT4UrrtDfQCpZwTenkowiUpIhrcLnn8e6G199FdenTo1ZKbJ8PvggEonMTB+IxCH9GdyuXQz0zDj9dLjsMiUYUuk0JkNEGmillWC//bLXx40rXyytxWOPxS6p6QTjwANjXMbPf54tSycYZ52lBENaPCUZIlLbz36WvXznndl9MiB+eY8fH7u8vvde88fWkixeHN0ju+8Oc+dGWfv20S3y17/GdOHRoyMJ6dMne7+zz4aLL1aCIS2eukuKSN0l0mosWxZfgB9+GNcfeQSGDInLF10Ugw8hli8fPTqWOk/7+mt44AF4910YNgy6d2++2CvF9OkxzXT69GzZmmtGcjFwYO36X3wRt/XsCXvuqQRDWhJ1l4hII7RvD4cfnr2e6TIZOzabYEAMJN1vPxg+HBYtioGNf/5zzJg44AA45RT4n/9p3tjLbcmSGKi55ZY1E4wf/ziu50swAFZcMRKyIUOUYEiroZaMIlJLhrQqr74Km2wSlzt3jmmXhx2W7TrJHaTYr19Mg3333ZrHadcOZs2Cvn2bJ+5ycY9N6X7zm9jELKNLl+geOeEEJQ/SWqklQ0Qa6Qc/gP794/KSJbF2QybB2HRTeOst2H//bP0ZM2onGBCJyB/+UPp4y+mZZ2Kxs0MOqZlgDBgAL74Iv/iFEgxpk5RkiEhhRxxRu2ztteHRR2GddWLFyptuil/rGWusAZdeGrdljB4N//1v6eNtbjNnwj77xF4vzz+fLV91Vbj66phN0q9f+eITKTN1lxSRukuk1fnoI+jdOwaCAlRVwaRJsUhX2owZcP318P3vw9FHx+Zd7vDDH2bHJYwcCeec07zxl8q8eXD++XDDDdnXBqJb6de/ji6TlVcuX3wizUuLcTUHJRnSKg0dGtNYO3WKqZaZZccbYtw4OPLIuNyjB8yeHbu9tlRvvx0DW0eNikXL0g4/PBKpddYpT2wi5aMxGSLSRDfeGIM+p09vXIIBMUbhO9+Jyx9/HMcph+rqGLS69trw4IONu++XX0ayNGgQrLtuJBLpBGPgQJgyJZ6bEgyRGtSSUURqyRDJI73N/AYbwL//XXjflFI57zy44IK4vMoq8OabcV6fe++FY47Jv1PqhhvC5ZfDT36iQZ3S1qklQ0TK5LjjsotxzZwJDz/cvI//0kuxembG/PlwySX13++WW2JGTTrBaNcu1rG4+2545RX46U+VYIjUQUmGiJRW9+6RaGRcfnnN9TVKqbo6dpRNL4sOcM01sW9IIVddBccem43zu9+NGTPvvRernx5wAHTsWLKwRVqLikwyzGxlM7vJzOaZ2Zdm9oSZ9W/gfXczs9FmNt3MlpnZ7AL1eprZpWb2pJl9bmZuZgOL+TxEJPHrX0OHDnF50qQY2zFrVu16b70VUz8nTizO444cGS0OENNsM7NiliyB3/62dn33WNH0tNOyZZttFmMuzjwTevUqTlwibUTFJRlm1g54BDgEuBY4A+gBTDSz9RpwiMOS0+fAB3XU2wA4E+gNvLI8MYtIPXr3jhUvM/75z1jQa9SoaGXI7I2y/vqxodigQdHFsTxjxqZOrdlNcsklcN112eu33x5dKRmLFsWiWRddlC3bcUd44olY+0NEGs/dK+oEHAQ4sE+qbA1gPjCuAffvBXRMLt8PzC5QbyVgteTyPsljDlzO2BdUVVW5iORRXe3+u9+5d+jgHulDnFZaqeb19Om449yXLm38Yy1Z4r7JJtnj7LCD+7Jlcdtee2XLBw+OssmT3TfcsOZjDxni/tVXxXv+Iq1Xwe/FiptdYmZ3AdsBvT0VnJndCBxKJAZLG3is+4H+7t6nnnr7APcBg9x9YhND1+wSkYZ46aUYJ/FKngZEs5hmml6efMiQ2J20W7eYmfLUU9F9sdpqsPPOsMMOsbkYwAcfxHTTW2+FN96Isi5d4rHWXz+uz5gRS6ZnxlscdBDcc0/NcSKHHBKbwXXqVPSnL9IKtZzFuMzsDWCGu++VUz4MuAXYyN1nNPBYRU0yzKy+7KGqqqoKJRki9aiujm6Jiy+O7pJVV4Wf/zy6VNZeO3Yjvf32bP2+fWMr9Hnzah+rQwfYeutINB5/vPag0lGj4Fe/qll2/PGxHHquFVfMDvrUrBGRhir4z9KhOaNooJ7AE3nKP0zOewENSjJEpEJ16hTLch9xRExrHTSo5v4n48ZBnz4xcBNqbjqW6+uvYzBpru7dY3zHiSfWvu388+GOO2KhrYxBg2I1zz59mvKMRCSPSkwyugBL8pQvTt1eFu5e52YESUtHVTOFI9LyrbdenHKZwYUXxtTRX/wiuz/I6qvHYMzttoP3349BmS+/XPO+O+8crSL77gtdu+Z/3LXWiuOfckrUuewyGD68+RcJE2nlypZkmFknYNWc4nnAIqBznrtkNjxYVMq4RKSCHHssbLklTJsGW2wBG21UOxGYNy+mvM6fD4MHR9dKQ5x8Muy+O/Ts2bDVP0Wk0crZkrEt8GROWV+iW6RnnvqZsjmlDEpEKkz//nEqZI014MADm3bsjTZq2v1EpEHKmWS8DAzOKfsImAZsa2bmNUelbg18AeRZwUdEREQqTdmSDHefD0zILTeze4ADgL2JdS4ws9WBA4EH0tNXM4tzufubzRGziIiINFwlDvy8B5gMjDOzK4FPgOHE6qQjcur+X3LeJ1NgZpsCmemv3weqzOzc5PrT7v50qm6mvF9y/jMz2x5Y4O5/LMqzERERaaMqbp0MADNbBbiCWImzC/A8cKq7T82pNxsgvQ6GmR0F3Frg0Oe7+4hU3UJP/p361tYoELcW4xIRkbam5SzG1ZIpyRARkTaoYJKhSeEiIiJSEkoyREREpCSUZIiIiEhJaExGEZnZN4BVVWllcRERaRsWLlz4rruvk++2SpzC2pJ9A7RbuHDhZ0U6XiZbWVik44m0VvpfEWmYZv1fUUtGBctsLV/fxmwibZ3+V0Qaprn/VzQmQ0REREpCSYaIiIiUhJIMERERKQklGSIiIlISSjJERESkJJRkiIiISEkoyRAREZGS0DoZIiIiUhJqyRAREZGSUJIhIiIiJaEkQ0REREpCSYaIiIiUhJIMERERKQklGRXIzDqb2WVmNsfMFpnZZDPbpdxxiVQSMzvDzNzMpuWUT0zKc0/jyxWrSHMysx+Z2f+Z2RdmttDM7jez9QrU3cvMpprZYjN718zOM7MOxYqlaAeSohoD7A9cDcwCjgL+bmY7ufu/yhiXSEUws7WAc4EvC1R5Fzgnp2x2KWMSqQRmtiXwFPF+P49oTBgOPGNmA9z941TdPYH7gSeAXwKbAL8DVk+uL388WiejspjZVsBzwMnufnVStgLwKjDH3XcsZ3wilcDMxgDfJT5AV3b3/qnbJuaWibQVZvZ3YEvge+4+PynrCfwHGO3uJ6XqvgYsBrZy92VJ2UjgN8CG7v7G8saj7pLKcwCwFLglU+Dui4HRwPbJm0WkzUoS8cOBU+qp18HMVmyeqEQqxnbAY5kEA8DdPyRaNw7KlJnZRsBGwI2ZBCNxHZEb7F+MYJRkVJ4BwOvu/kVO+fOAAfp1Jm2WmRlwLTDW3afVUbUf0ZXyeTK26Wwz0+edtAWdgUV5yr8CeqZ+qA5IzqekK7n7HOD91O3LRWMyKk9P4IM85R8m572aMRaRSnME8etrnzrqvEn0MU8HugOHAhcR3SsnlDpAkTKbCWxjZu3c/RsAM+sEbJ3c3ov4PskkGx/WPgQfUqTvGiUZlacLsCRP+eLU7SJtjpmtBFwKXJo0/+bl7sNyisaa2V3AcWb2B3efWco4RcrsOuB64GYzu4rosTiXbFLRJee80PdN12IEo+bDyrOIaO7KtULqdpG26FygGvh9E+57FdHdOKioEYlUGHe/AbgY+BnwGtGitx5weVIl0xWf+S4p9H1TlO8aJRmVJ92MlZYpm9OMsYhUhKQf+STgT0APM+tjZn2ID8NOyfVV6jjEe8n5qiUNVKQCuPs5QA9gB2BTd9+S+L53ojsRst0khb5vivJdoySj8kwDNswzKj7Tn/ZyM8cjUgl6AJ2Ay4C3U6etiUGebwNn1nH/dZPzeSWMUaRiuPt8d/+nu09PinYFnnf3z5PrmYHTW6TvZ2a9gN6p25eL1smoMGa2NTCZmutkdCbWyfjY3bcvZ3wi5WBmVeTv6hgJdANOJtYBeB9Y4u5LUvdtDzwE7A6s7+5vlz5ikcphZgcD44FD3X18qnwGMQtr69Q6GRcCZwP93P0/y/3YSjIqTzJIbR/gD0TT1pHE4iqD3H1SOWMTqSS5C2+Z2UDgTuAvxGq5KxJrA2wBXObuZ5UnUpHmYWY7E0nCY8CnwDbEqtHj3f3wnLo/AR4kZmP9FfgBcCKxdsbwYsSj2SWV6QjgwuR8FeAVYIgSDJF6vQNMIhYS6gF8Q7QCHuXuY8sZmEgzeY94358OrAS8QSxc98fciu7+sJntRyw/fi3RnTiS+P4pCrVkiIiISElo4KeIiIiUhJIMERERKQklGSIiIlISSjJERESkJJRkiIiISEkoyRAREZGSUJIhIiIiJaEkQ6QZJBt4uZmNKHMcq5vZODObk8QzsZzxlJqZjUieZ58KiOUHZva1mQ0udywtkYWpZnZruWORhlOSIW2Cma1iZouSL5yflTueMroKOBi4gdgK+qJCFVOJUfq0yMxeM7Pzzazr8gRiZkeZ2UnLc4zkOPuUO3lroN8Dk9z98UyBmQ3MeX2Xmdl8M3vVzMaa2R5mZmWMuWJ4rBw5AjjCzPqXORxpIK34KW2CmZ0IXAPMBt5x93ybbZXy8fsQO4We7+4jmvOxc+KYA0xx970aULcPEfPjwLikeA1iye7tgMfdfbfliGUi0Mfd+zT1GMlxxgBHunutL2Mz60Bsn7DEy/hhZ2bbAM8C+7j7A6nygcCTxF4rjwJGLAW9AbF/0XeBCcCB7r6gmcOuSGb2JjDV3Q8sdyxSP+1dIm3FMOLD/AHgajNb193fKnNM5bAW8N9G3uc/7n575oqZXUPsFDzYzDZ39xeLGWAxufvXwNfljgMYDnxCJBL5TE2/xgBmdgpwObHvxF+APUsaYR3MbKXUFuHldjvwGzNby90/KncwUjd1l0irZ2abAf2BscQOnV8DPy9Q181sjJltY2ZPmdmXZvapmd1iZivmqb+Tmf0r6Ub4yMxGmdnGjRl/YWYHm9k/zexzM/vKzJ4zswMa8fy6mdklZvammS1J4hhnZuuk6owwMyd+KR+Zap4/qqGPk5FsCT0xufq9PPHsaGaPm9nC5HWZambDcurMBnYC1snpLhiY3L5V8nf4T/KafG5mk8xs35zjTCR2KSbnOEeln3fumIykK+g2M/s4ec3eNLOLc7uAUvffILn9/aT+y2Y2pCGvV9Kasg8wwd2XNuQ+EK+zu58K/BPYw8y2zzlulZldZmazkpjmmdlfzGzdPDH0MbN7zeyz5PSAmfU1s9mWMy4n9T+wS/K+/AJ4qImP29nMzrboYltsZgvM7CEzG5BTr52ZnWRmryR/68/MbKaZjTazjjmH/TvQMXlNpcKpJUPagmHAF8C97v6lmT1MfNH+zt2/yVO/P/AwcCuRlAxMjvENcFymUvKh/xgwH7gUWEBsK75dQwMzs5HAOcD/Ar9NHmNf4G4zO9Hd/1TP/TsC/0ge8x5izMX3gF8Au5nZFu7+PvA3Yuvz24BngJuSQzzb0FhzrJec12gVMbOfAvcBHyWxfA4cAtxi0Xp0TlL1JOASYHXg5NQhZiTn+wIbAncRO6uuRiQTfzOzoe5+Z1LvIuLH0g7EGJOMgs8rSb6eB6qA64hdKgcCvwG2M7NdkhaQtLHAUuBKoFMS//1m9n13n13osRKbE1vOP19PvUJGA9sDPyYSDsysiniO3wX+DLwG9CRaTJ5L/u7vJHVXI/7mPYixODOI1+tJoFuBx9yC6Ba7mXjuNOFxOxLv622J990fidf8WGCSme3o7lOSQ58DXEAkMzcAy4C+wF5AZ+K1z5gKLCH+Zjc06BWU8nF3nXRqtSdgBSIJGJMq2xtwYM889Z34ot86p/wR4oNuxVTZ88BiYN1UWUdiq3EHRqTK++Qp2ywpuzhPHPcDnwEr1fP8jk2OcXlO+Y+T8tvyPL8xdR0zT8y3EMnA6sQX/++S8veAzqn67YmEYAHQK1XeKXlNlgHfS5VPBGYXeOxuecq6AjOBf+eUjyEZF5jnPiOSWPukyu5Iyobk1L0iKR+W5/4Pk4xhS8q3TMovacDreHRSd688tw1Mbjutjvtn3if3pspGAYuAH+bUXSd536Tf75cn9x+aUzdTPjHPe8SBXfPE0pjHPTk5zu45dbsD76Yfl0gc/p3v+Rd4TWYB0xtaX6fyndRdIq3dfsDKpH6NEf3i8yjQZQL8y92fyyl7gmj56wNgZj2IL5oHPDW2w6M5fFQDYxtKfAiPtZha+u0JeJAYALhNPcfYl0iKLkkXuvsjwDRgbzNb3v/zYcTrNY/4FXw+8St4F3dfkqq3OckvXHefk4qlmvhCa0ckePVy9y8zl82sa/JrvCvxd+hnZt2b8kSS12Iv4CV3zx0fcQnZlqRcozz5dkvie4FoHavVXZTHGsl5Y8fCZHyWnHeHmMpJvHeeBj7Ied98SYyXSQ/I/SnwITGuI+3KOh7zZXefkC5owuMeDrwOvJhTtxMxmHh7M+uS1F0IfCe3S6gOnwJrNrCulJG6S6S1y3xBvm9m66fKHwMONLPV3f2TnPvkGxD6aXK+WnLeNzmfmaduvrJ8+hFjJF6vo06Peo7RF5jj7vPz3PYa0fWzOjC3gTHl8wDR1N2e+FI9A1ibaLLOjSXzuPliAajVb5+Pma0JjCSSknxfJiuT/fJtjDWIrotaMbr7f83swwIxFnpPrJanvNahk/OmTkXNJFSZ57tG8ri7Ee/tfNLdgH2B5z2na9Dd55pZoRkr/8lT1tjH7Qd0qaMuxHvzPeBsovXuGYsZUBOJ1sN7kiQ1l5F9XaWCKcmQVsvM+gKDiA+kfB+aEL+2rs4pW1bXYYsQWvpYTswaKPSY+b6wm9v7qV+1/zCzvwOvAOPNbNv0L/xiSH4xP0Z8SY0CphC/dJcRXQ+H0fyD1gv9fRryfsh8ya7axMfeNDnPJK+Zx5wAXNbEY9bnqzxljX1cA6YTs2MKmQfg7v8ys/WA3Yn/2UHE3/lcM9ve3XNbgVal7uRFKoSSDGnNjiY+6I4lxgnkGkl0meQmGQ0xOznfIM9t+cryeQPYA3jX3WfUV7mAt4iZByt77XUUNiJ+/ea21CwXd3/TzK4kxmYcSgyOzcQCsHGeu22UUwcK/xLdFPghcIG7n5e+wcyOyRdSQ+JOzCMGo9aK0cxWIQYxTmvE8Rri1eS8IV0r+WRm5jySnM8j3s/dc7s0CpgNrG9m7dKtGUlr0cqNiKOxj/sG0frxRG4rSj7u/gVwb3LCzIYDfyKe/xWpuDsTLWl/a0TsUiYakyGtUtL3fhQxOOwWd78n90T0UW9iZls29vge8/OnEGMevm1eT0aA0jsAAAAECklEQVTU/7qBh7ktOb/YzNrneQ71dZVANDG3A87Kue+ewADgwYZ8wDfBH4gE5rxU7FOJAX1Hm9laqVg6AqcTycADqWN8AayStFykZVoNapSb2Q/IP17ii+T2elsKktfiIWCAme2Rc/NZxGt5X33HaaSXiNfqR425k5m1T5K57YFH3X0SfPsc7gC2sgJTnZMEIuMhInk6NKfaaY2JpwmPO45YlyVvS0b6/Z2M1cg1NTnP/bsOIMZ1PNWwyKWc1JIhrdVuxK+d0XXUuZeYPTAMeKEJj3EaMYDtWTO7jmjSP4j4AIR6fmG7+wsWa2mMAKaZ2d3AHOILYXNgSOpYhYwhpnaeabEWxNPA+sSUwo+Jvu6ic/cFZnYtMfXwMGIWyzKLlVXvA14ws5uIVoODiS/Yi939jdRhJgM/Af5oZs8SycUTxODS14AzLNatmAl8HzieaH7fPCecycCJwHVmlpkF9Jy7v10g/LOBwcQU1OuImQo7JnE+Tc1BwssteV3+BuxjZp1zBstmbGZmhyeX0yt+rkN0HR2WU/8cYtryXWZ2F/EaVCf1hwAvEkk2RNfGYcCtZrYVMQZoB2Jq6Sc0riWoMY87inidrzCznYm/7WfE4OBdiJlZmZV3Z5jZZOA5sv8DxyXHHp8TwxDib3x/I+KWcin39BaddCrFCbib+PDcpJ56M4km4C7J9bxTPIkPTgcG5pTvTHzQLibWhhgFbJ3UPSNVrw85U1hTt/2YWOviv8RgyveIBYdOaOBz7UbMjHiL+FCeS7SSrJOnblOmsP6xwO2rEUnEG0D7VPlORPL1WfK6vERqWmiqXlciCfyYSDC+fX2JL627iSb6r4jpwvuSf0pqO2KmxPup4xyV3FarflLeN3mN5iav2VvAxUDXnHp575/cNpuc6Z91vJZbJcfZP6d8INkpo57Ev5BIssYCe9RxzK7E2irTiWmlnxMJ2s3UnoLdl+he+Dz5uzyQlH1CtJI0+D3SyMftAPyKSOK/TE5vEC0iu6XqnUUkeHPJ/g/cDWyW5/HfAu4u9meGTqU5ae8SkSIzs/2JhbEOdffcX2HSRpnZ/xLrf+xQ7ljg20W6PgFudPcTyh1PQ5jZ3kSytLm7F3vsjJSAxmSINJGFFXLKOhJ90F+TXXpbBOBUYBsza/Kmck2VWo8iLTOO5/E8t1WcZOzOCGCcEoyWQy0ZIk2UJBjvEE2/M4nug4OJ2RGXuftZddxdpNmY2ZPEe3Uq8eNyF2I8zLPAjh770YgUnZIMkSZKZlXcTIxB6EnMhpgJ3OTu15UzNpE0MzsVOIIYZ9OFGL/yN+B8r5zdVaUVUpIhIiIiJaExGSIiIlISSjJERESkJJRkiIiISEkoyRAREZGSUJIhIiIiJfH/DYVYyypbjfYAAAAASUVORK5CYII=", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Number of training samples vs BTE" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "First, we'll set the variables we'll use:\n", + "- `mc_rep`: number of repetitions to run the omnidirectional learning algorithm for\n", + "- `task2_sample_sweep`: list of the number of samples to test\n", + "- `task1_sample`: number of task 1 samples\n", + "- `task2_angle`: fixed angle of the task 2 data" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 9, + "source": [ + "task2_sample_sweep = (2**np.arange(np.log2(60), np.log2(5010)+1, .25)).astype('int')\n", + "task1_sample = [100, 1000, 5000]\n", + "task2_angle = 25*np.pi/180\n", + "mc_rep = 1000" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Next, run the experiment:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 10, + "source": [ + "mean_te = fn.bte_v_nsamples(task2_sample_sweep, task1_sample, task2_angle, mc_rep)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Lastly, plot the results:" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 16, + "source": [ + "fn.plot_bte_v_nsamples(mean_te)" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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rename from docs/tutorials/xor_rxor_with_icp.ipynb rename to docs/experiments/xor_rxor_with_icp.ipynb diff --git a/docs/experiments/xor_xnor_exp.ipynb b/docs/experiments/xor_xnor_exp.ipynb new file mode 100644 index 0000000000..cd8d759cde --- /dev/null +++ b/docs/experiments/xor_xnor_exp.ipynb @@ -0,0 +1,292 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Gaussian XOR and Gaussian XNOR Experiment\n", + "\n", + "One key goal of omnidirectional learning is to be able to continually improve upon past performance with the introduction of new data, without forgetting too much of the past tasks. This transfer of information can be evaluated using a variety of metrics; however, here, we use a generalization of Pearl's transfer-benefit ratio (TBR) in both the forward and backward directions." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "As described in [Vogelstein, et al. (2020)](https://arxiv.org/pdf/2004.12908.pdf), the forward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", + "\n", + "$$FTE^t (f_n) := \\mathbb{E} [R^t (f^{t}_n )/R^t (f^{1$, the algorithm demonstrates positive forward transfer, i.e. past task data has been used to improve performance on the current task.\n", + "\n", + "Similarly, the backward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", + "\n", + "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{1$, the algorithm demonstrates positive backward transfer, i.e. data from the current task has been used to improve performance on past tasks." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Omnidirectional learning in a simple environment can therefore be demonstrated using two simple tasks: Gaussian XOR and Gaussian Not-XOR (XNOR). Here, forward transfer efficiency is the ratio of generalization errors for XNOR, whereas backward transfer efficiency is the ratio of generalization errors for XOR. These two tasks share the same discriminant boundaries, so learning can be easily transferred between them.\n", + "\n", + "This experiment compares the performance of omnidirectional forests to uncertainty forests in undergoing these tasks." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 1, + "source": [ + "import numpy as np\n", + "\n", + "import functions.xor_xnor_functions as fn\n", + "from proglearn.sims import generate_gaussian_parity" + ], + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "**Note:** This notebook tutorial uses functions stored externally within `functions/xor_xnor_functions.py`, to simplify presentation of code. These functions are imported above, along with other libraries." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Classification Problem\n", + "\n", + "First, let's visualize Gaussian XOR and N-XOR.\n", + "\n", + "Gaussian XOR is a two-class classification problem, where...\n", + "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = 0.25I$.\n", + "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = 0.25I$.\n", + "\n", + "Gaussian XNOR has the same distribution as Gaussian XOR, but with the class labels flipped, i.e...\n", + "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = 0.25I$.\n", + "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = 0.25I$." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Within the proglearn package, we can make use of the simulations within the `sims` folder to generate simulated data. The `generate_gaussian_parity` function within `gaussian_sim.py` can be used to create the Gaussian XOR and XNOR problems. Let's generate data and plot it to see what these problems look like!" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 2, + "source": [ + "# call function to return gaussian xor and xnor data:\n", + "X_xor, y_xor = generate_gaussian_parity(1000)\n", + "X_xnor, y_xnor = generate_gaussian_parity(1000, angle_params=np.pi/2)\n", + "\n", + "# plot and format:\n", + "fn.plot_xor_xnor(X_xor, y_xor, 'Gaussian XOR')\n", + "fn.plot_xor_xnor(X_xnor, y_xnor, 'Gaussian XNOR')" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": {} + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## The Experiment\n", + "\n", + "Now that we have generated the data, we can prepare to run the experiment. The function for running the experiment, `experiment`, can be found within `functions/xor_xnor_functions.py`. " + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", + "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", + "- `n_test`: number of xor/xnor data points in the test set\n", + "- `n_trees`: number of trees\n", + "- `n_xor`: array containing number of xor data points fed to learner, ranges from 50 to 725 in increments of 25\n", + "- `n_xnor`: array containing number of xnor data points fed to learner, ranges from 50 to 750 in increments of 25" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 3, + "source": [ + "# define hyperparameters:\n", + "mc_rep = 1000\n", + "n_test = 1000 \n", + "n_trees = 10\n", + "n_xor = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)\n", + "n_xnor = (100*np.arange(0.25, 7.50, step=0.25)).astype(int)" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Once those are determined, the experiment can be initialized and performed. We iterate over the values in `n_xor` and `n_xnor` sequentially, running each experiment for the number of iterations declared in `mc_rep`." + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 4, + "source": [ + "# running the experiment:\n", + "\n", + "# create empty arrays for storing results\n", + "mean_error = np.zeros((6, len(n_xor)+len(n_xnor)))\n", + "std_error = np.zeros((6, len(n_xor)+len(n_xnor)))\n", + "mean_te = np.zeros((4, len(n_xor)+len(n_xnor)))\n", + "std_te = np.zeros((4, len(n_xor)+len(n_xnor)))\n", + "\n", + "# run the experiment\n", + "mean_error, std_error, mean_te, std_te = fn.run(mc_rep, n_test, n_trees,n_xor,n_xnor, mean_error, std_error, mean_te, std_te);" + ], + "outputs": [], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "Great! The experiment should now be complete, with the results stored in four arrays: `mean_error`, `std_error`, `mean_te`, and `std_te`." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "## Visualizing the Results\n", + "\n", + "Now that the experiment is complete, the results can be visualized by extracting the data from these arrays and plotting it. \n", + "\n", + "Here, we again utilize functions from `functions/xor_xnor_functions.py` to help in plotting:\n", + "- `plot_error-and-eff`: plots generalization error and transfer efficiency for progressive learning and random forests" + ], + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 5, + "source": [ + "# plot data\n", + "%matplotlib inline\n", + "fn.plot_error_and_eff(n_xor, n_xnor, mean_error, mean_te, 'XOR', 'XNOR')" + ], + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "needs_background": "light" + } + } + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Generalization Error for XOR Data (bottom left plot)\n", + "\n", + "By plotting the generalization error for XOR data, we can see how the \n", + "introduction of XNOR data influenced the performance of both the omnidirectional learning forest (Odif) and the random forest. \n", + "\n", + "In the bottom left plot, we see that when XNOR data is available, the Odif outperforms random forests." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Generalization Error for XNOR Data (bottom middle plot)\n", + "\n", + "Similarly, by plotting the generalization error for XNOR data, we can also see how the presence of XOR data influenced the performance of both algorithms. \n", + "\n", + "In the bottom middle plot, we see that given XOR data is available, Odif outperforms random forests on classifying XNOR data." + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [ + "#### Transfer Efficiency for XOR Data (bottom right plot)\n", + "\n", + "Given the generalization errors plotted above, we can calculate the transfer efficiency as a ratio of the generalization error for Odif to single task learning forest. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", + "\n", + "Odif demonstrates both positive forward and backward transfer in this environment" + ], + "metadata": {} + }, + { + "cell_type": "markdown", + "source": [], + "metadata": {} + } + ], + "metadata": { + "interpreter": { + "hash": "139864aabd290972d7a327a720f92c31cd48dab9898d3ede71c289531c45c249" + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.9" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/docs/index.rst b/docs/index.rst index b3e125f53a..7fadcf1755 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -2,13 +2,13 @@ .. _contents: -Overview of ProgLearn_ +ProgLearn_ ====================== .. _proglearn: https://proglearn.neurodata.io/ -.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4276573.svg - :target: https://doi.org/10.5281/zenodo.4276573 +.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4060264.svg + :target: https://doi.org/10.5281/zenodo.4060264 .. image:: https://circleci.com/gh/neurodata/ProgLearn/tree/main.svg?style=shield&circle-token=:circle-token :target: https://app.circleci.com/pipelines/github/neurodata/ProgLearn .. image:: https://codecov.io/gh/neurodata/ProgLearn/branches/main/graph/badge.svg @@ -24,7 +24,7 @@ Overview of ProgLearn_ .. image:: https://img.shields.io/pypi/dm/proglearn.svg :target: https://pypi.org/project/proglearn/#files -``ProgLearn`` (**Prog**\ ressive **Learn**\ ing) is a package for exploring and using progressive learning algorithms. +``ProgLearn`` (**Prog**\ ressive **Learn**\ ing) is a package for exploring and using omnidirectional learning algorithms proposed in our paper (https://arxiv.org/abs/2004.12908). Motivation ---------- @@ -51,9 +51,9 @@ terms of the :doc:`MIT `. We welcome contributions. Join us on History ------- -``ProgLearn`` was founded in February 2020. The source code was designed and written by -Will LeVine and Hayden Helm. The experiment code was designed and written by Jayanta Dey -and Will LeVine. The repository is maintained by Will LeVine and Jayanta Dey. +``ProgLearn`` was founded in February 2020. The source code was designed, written and verified by +Will LeVine, Jayanta Dey, and Hayden Helm. The experiment code was designed and written by Jayanta Dey +and Will LeVine. The repository is maintained by Jayanta Dey and Haoyin Xu. Documentation ============= @@ -62,9 +62,11 @@ Documentation :maxdepth: 1 :caption: Using ProgLearn + overview install tutorials/ - reference/index + experiments/ + api/index contributing license diff --git a/docs/install.rst b/docs/install.rst index dfc87973db..6dea44fcbc 100644 --- a/docs/install.rst +++ b/docs/install.rst @@ -45,6 +45,11 @@ Or, alternatively, you can use ``pip``:: $ cd proglearn $ pip install . +The installation process takes about 4 seconds in a typical desktop computer. + +If the installation is done in a new Python virtual environment, it takes about 1 +minute and 35 seconds. + Python package dependencies --------------------------- ``proglearn`` requires the following packages: diff --git a/docs/overview.rst b/docs/overview.rst new file mode 100644 index 0000000000..b0fece9af4 --- /dev/null +++ b/docs/overview.rst @@ -0,0 +1,53 @@ +.. -*- coding: utf-8 -*- + +.. _contents: + +Overview +======== + +``ProgLearn`` provides classes and functions for biological machine learning. Notably, it improves in performance on all tasks (including past and future) with any new data. This sets it apart from classical machine learning algorithms and many other recent approaches to biological learning. + +The Library +----------- + +All classes and functions are available through the ``ProgLearn`` package and can also be imported separately. + +.. code:: python + + import proglearn as PL + from proglearn.forest import UncertaintyForest + +The Learners +------------ + +There are three main parts to the ``ProgLearn`` package: Lifelong Classification Network, Lifelong Classification Forest, and the Uncertainty Forest. All three have very similar syntax and usage. A general overview is provided below with more specific and complete examples in the tutorial section. This overview example will use ``proglearn.forest.UncertaintyForest`` but is generalizable to the Lifelong Classification Network and Lifelong Classification Forest. + +First, we'll create our forest: + +.. code:: python + + UF = UncertaintyForest(n_estimators = n_estimators) + +Then, we fit to data: + +.. code:: python + + UF.fit(X_train, y_train) + +Finally we can predict the classes of the data: + +.. code:: python + + predictions = UF.predict(X_test) + +Another advantage of the ``ProgLearn`` package is the ``predict_proba(X)`` function. It can be used to estimate the class posteriors for each example in the input data, X. + +.. code:: python + + predicted_posteriors = UF.predict_proba(X_test) + + +Wrap Up +------- + +This overview covers the basics of using ``ProgLearn``. Most use cases will utilize the functions presented above. Further examples are available in the tutorials section (see menu). diff --git a/docs/reference/forest.rst b/docs/reference/forest.rst index 02b94ac125..adb9dc2da1 100644 --- a/docs/reference/forest.rst +++ b/docs/reference/forest.rst @@ -8,4 +8,7 @@ Lifelong Classification Forest .. autoclass:: LifelongClassificationForest +Uncertainty Forest +------------------------------ + .. autoclass:: UncertaintyForest diff --git a/docs/requirements.txt b/docs/requirements.txt index eb32c0c227..1d380b52ab 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,7 +1,7 @@ sphinx==1.8.5 sphinx_rtd_theme==0.4.2 sphinxcontrib-rawfiles -nbsphinx==0.7.1 +nbsphinx==0.8.7 ipython==7.4.0 ipykernel==5.1.0 numpydoc==0.7 diff --git a/docs/tutorials.rst b/docs/tutorials.rst index 0ad99ad195..e3e7bd6083 100644 --- a/docs/tutorials.rst +++ b/docs/tutorials.rst @@ -8,17 +8,8 @@ The following tutorials highlight what one can do with the ``ProgLearn`` package :maxdepth: 1 tutorials/installation_guide - tutorials/fte_bte_food101 - tutorials/fte_bte_mnist - tutorials/label_shuffle_exp - tutorials/random_class_exp - tutorials/rotation_cifar - tutorials/spiral_exp tutorials/uncertaintyforest_running_example tutorials/uncertaintyforest_posteriorestimates tutorials/uncertaintyforest_conditionalentropyestimates tutorials/uncertaintyforest_mutualinformationestimates - tutorials/xor_nxor_exp - tutorials/xor_rxor_exp - tutorials/xor_rxor_with_cpd - tutorials/xor_rxor_with_icp + diff --git a/docs/tutorials/functions/spiral_exp_functions.py b/docs/tutorials/functions/spiral_exp_functions.py deleted file mode 100644 index 5cc9f39be4..0000000000 --- a/docs/tutorials/functions/spiral_exp_functions.py +++ /dev/null @@ -1,334 +0,0 @@ -import random -import tensorflow as tf -import numpy as np -import pickle -import seaborn as sns -import matplotlib.pyplot as plt -from joblib import Parallel, delayed -from math import log2, ceil -from proglearn.forest import LifelongClassificationForest -from proglearn.sims import generate_spirals - -def plot_spirals(spiral1, y_spiral1, num_spirals1, spiral2, y_spiral2, num_spirals2): - colors = sns.color_palette('Dark2', n_colors=5) - - fig, ax = plt.subplots(1,2, figsize=(16,8)) - - clr = [colors[i] for i in y_spiral1] - ax[0].scatter(spiral1[:, 0], spiral1[:, 1], c=clr, s=50) - ax[0].set_xticks([]) - ax[0].set_yticks([]) - ax[0].set_title(str(num_spirals1)+' spirals', fontsize=30) - ax[0].axis('off') - - clr = [colors[i] for i in y_spiral2] - ax[1].scatter(spiral2[:, 0], spiral2[:, 1], c=clr, s=50) - ax[1].set_xticks([]) - ax[1].set_yticks([]) - ax[1].set_title(str(num_spirals2)+' spirals', fontsize=30) - ax[1].axis('off') - - #plt.tight_layout() - -def experiment(n_task1, n_task2, n_test=1000, - n_trees=10, max_depth=None, random_state=None): - - """ - A function to do progressive experiment between two tasks - where the task data is generated using Gaussian parity. - - Parameters - ---------- - n_task1 : int - Total number of train sample for task 1. - - n_task2 : int - Total number of train dsample for task 2 - - n_test : int, optional (default=1000) - Number of test sample for each task. - - n_trees : int, optional (default=10) - Number of total trees to train for each task. - - max_depth : int, optional (default=None) - Maximum allowable depth for each tree. - - random_state : int, RandomState instance, default=None - Determines random number generation for dataset creation. Pass an int - for reproducible output across multiple function calls. - - - Returns - ------- - errors : array of shape [6] - Elements of the array is organized as single task error task1, - multitask error task1, single task error task2, - multitask error task2, naive UF error task1, - naive UF task2. - """ - - if n_task1==0 and n_task2==0: - raise ValueError('Wake up and provide samples to train!!!') - - if random_state != None: - np.random.seed(random_state) - - errors = np.zeros(6,dtype=float) - - - progressive_learner = LifelongClassificationForest(default_n_estimators=n_trees) - uf1 = LifelongClassificationForest(default_n_estimators=n_trees) - naive_uf = LifelongClassificationForest(default_n_estimators=n_trees) - uf2 = LifelongClassificationForest(default_n_estimators=n_trees) - - #source data - X_task1, y_task1 = generate_spirals(n_task1, 3, noise=0.8) - test_task1, test_label_task1 = generate_spirals(n_test, 3, noise=0.8) - - #target data - X_task2, y_task2 = generate_spirals(n_task2, 5, noise=0.4) - test_task2, test_label_task2 = generate_spirals(n_test, 5, noise=0.4) - - if n_task1 == 0: - progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) - uf2.add_task(X_task2, y_task2, n_estimators=n_trees) - - errors[0] = 0.5 - errors[1] = 0.5 - - uf_task2=uf2.predict(test_task2, task_id=0) - l2f_task2=progressive_learner.predict(test_task2, task_id=0) - - errors[2] = 1 - np.mean(uf_task2 == test_label_task2) - errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) - - errors[4] = 0.5 - errors[5] = 1 - np.mean(uf_task2 == test_label_task2) - elif n_task2 == 0: - progressive_learner.add_task(X_task1, y_task1, - n_estimators=n_trees) - uf1.add_task(X_task1, y_task1, - n_estimators=n_trees) - - uf_task1=uf1.predict(test_task1, task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - - errors[0] = 1 - np.mean(uf_task1 == test_label_task1) - errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) - - errors[2] = 0.5 - errors[3] = 0.5 - - errors[4] = 1 - np.mean(uf_task1 == test_label_task1) - errors[5] = 0.5 - else: - progressive_learner.add_task(X_task1, y_task1, n_estimators=n_trees) - progressive_learner.add_task(X_task2, y_task2, n_estimators=n_trees) - - uf1.add_task(X_task1, y_task1, n_estimators=2*n_trees) - uf2.add_task(X_task2, y_task2, n_estimators=2*n_trees) - - naive_uf_train_x = np.concatenate((X_task1,X_task2),axis=0) - naive_uf_train_y = np.concatenate((y_task1,y_task2),axis=0) - naive_uf.add_task( - naive_uf_train_x, naive_uf_train_y, n_estimators=n_trees - ) - - uf_task1=uf1.predict(test_task1, task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - uf_task2=uf2.predict(test_task2, task_id=0) - l2f_task2=progressive_learner.predict(test_task2, task_id=1) - naive_uf_task1 = naive_uf.predict( - test_task1, task_id=0 - ) - naive_uf_task2 = naive_uf.predict( - test_task2, task_id=0 - ) - - errors[0] = 1 - np.mean( - uf_task1 == test_label_task1 - ) - errors[1] = 1 - np.mean( - l2f_task1 == test_label_task1 - ) - errors[2] = 1 - np.mean( - uf_task2 == test_label_task2 - ) - errors[3] = 1 - np.mean( - l2f_task2 == test_label_task2 - ) - errors[4] = 1 - np.mean( - naive_uf_task1 == test_label_task1 - ) - errors[5] = 1 - np.mean( - naive_uf_task2 == test_label_task2 - ) - - return errors - -def run(n_spiral3,n_spiral5,mc_rep,n_test,n_trees): - mean_error = np.zeros((6, len(n_spiral3)+len(n_spiral5))) - std_error = np.zeros((6, len(n_spiral3)+len(n_spiral5))) - - mean_te = np.zeros((4, len(n_spiral3)+len(n_spiral5))) - std_te = np.zeros((4, len(n_spiral3)+len(n_spiral5))) - - - for i,n1 in enumerate(n_spiral3): - #print('starting to compute %s for 3 spirals\n'%n1) - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,0,max_depth=ceil(log2(n1)) - ) for _ in range(mc_rep) - ) - ) - mean_error[:,i] = np.mean(error,axis=0) - std_error[:,i] = np.std(error,ddof=1,axis=0) - mean_te[0,i] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i] = np.mean(error[:,2])/np.mean(error[:,5]) - - - if n1==n_spiral3[-1]: - for j,n2 in enumerate(n_spiral5): - #print('starting to compute %s for 5 spirals\n'%n2) - - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,n2,max_depth=ceil(log2(750)) - ) for _ in range(mc_rep) - ) - ) - mean_error[:,i+j+1] = np.mean(error,axis=0) - std_error[:,i+j+1] = np.std(error,ddof=1,axis=0) - mean_te[0,i+j+1] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i+j+1] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i+j+1] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i+j+1] = np.mean(error[:,2])/np.mean(error[:,5]) - return mean_error, std_error, mean_te, std_te - - -def plot_results(n_spiral3,n_spiral5,mean_error, std_error, mean_te, std_te): - n1s = n_spiral3 - n2s = n_spiral5 - - ns = np.concatenate((n1s, n2s + n1s[-1])) - ls=['-', '--'] - algorithms = ['3 spirals Forest', '5 spirals Forest', "Progressive Learning Forest (PLF)", "Random Forest (RF)"] - - - TASK1='3 spirals' - TASK2='5 spirals' - - fontsize=30 - labelsize=28 - - colors = sns.color_palette("Set1", n_colors = 5) - - fig = plt.figure(constrained_layout=True,figsize=(21,14)) - gs = fig.add_gridspec(14, 21) - ax1 = fig.add_subplot(gs[7:,:6]) - ax1.plot(ns, mean_error[1], label=algorithms[2], c=colors[0], ls=ls[np.sum(1 > 1).astype(int)], lw=3) - ax1.plot(ns, mean_error[4], label=algorithms[3], c='g', ls=ls[np.sum(1 > 1).astype(int)], lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK1), fontsize=fontsize) - ax1.legend(loc='upper right', fontsize=16, frameon=False) - #ax1.set_ylim(0.09, 0.21) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - #ax1.set_yticks([0.5,0.15, 0.25]) - ax1.set_xticks([50,750,1500]) - #ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - ax1.set_title('3 spirals', fontsize=30) - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(200, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - ###################################### - - ax1 = fig.add_subplot(gs[7:,7:13]) - - ax1.plot(ns[len(n1s):], mean_error[3, len(n1s):], c=colors[0], lw=3) - ax1.plot(ns[len(n1s):], mean_error[5, len(n1s):], c='g', lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK2), fontsize=fontsize) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - ax1.set_xticks([50,750,1500]) - #ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(200, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - ax1.set_title('5 spirals', fontsize=30) - - ##################################### - - - algorithms = ['PLF BTE', 'PLF FTE', 'RF BTE', 'RF FTE'] - - ax1 = fig.add_subplot(gs[7:,14:]) - - ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[1, len(n1s):], label=algorithms[1], c=colors[0], ls=ls[1], lw=3) - ax1.plot(ns, mean_te[2], label=algorithms[2], c='g', ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[3, len(n1s):], label=algorithms[3], c='g', ls=ls[1], lw=3) - - ax1.set_ylabel('Forward/Backward \n Transfer Efficiency (FTE/BTE)', fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - ax1.set_xticks([50,750,1500]) - #ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - ax1.hlines(1, 50,1500, colors='gray', linestyles='dashed',linewidth=1.5) - - ax1.text(200, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - colors = sns.color_palette('Dark2', n_colors=5) - - X, Y = generate_spirals(750, 3, noise=0.8) - Z, W = generate_spirals(750, 5, noise=0.4) - - ax = fig.add_subplot(gs[:6,4:10]) - clr = [colors[i] for i in Y] - ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('3 spirals', fontsize=30) - - #plt.tight_layout() - ax.axis('off') - - colors = sns.color_palette('Dark2', n_colors=5) - - ax = fig.add_subplot(gs[:6,11:16]) - clr = [colors[i] for i in W] - ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('5 spirals', fontsize=30) - ax.axis('off') - - #plt.savefig('plots/spiral_plot.pdf') \ No newline at end of file diff --git a/docs/tutorials/functions/xor_nxor_functions.py b/docs/tutorials/functions/xor_nxor_functions.py deleted file mode 100644 index 6eadfbe251..0000000000 --- a/docs/tutorials/functions/xor_nxor_functions.py +++ /dev/null @@ -1,391 +0,0 @@ -import numpy as np -import random - -from math import log2, ceil - -import seaborn as sns -import matplotlib.pyplot as plt - -from proglearn.forest import LifelongClassificationForest, UncertaintyForest -from proglearn.sims import * -from proglearn.progressive_learner import ProgressiveLearner -from proglearn.deciders import SimpleArgmaxAverage -from proglearn.transformers import TreeClassificationTransformer, NeuralClassificationTransformer -from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter - -from joblib import Parallel, delayed - -def get_colors(colors, inds): - c = [colors[i] for i in inds] - return c - - -def plot_xor_nxor(data, labels, title): - colors = sns.color_palette("Dark2", n_colors=2) - fig, ax = plt.subplots(1, 1, figsize=(8, 8)) - ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title(title, fontsize=30) - plt.tight_layout() - ax.axis("off") - plt.show() - -def run(mc_rep, n_test, n_trees,n_xor,n_nxor, mean_error, std_error, mean_te, std_te): - for i,n1 in enumerate(n_xor): - #print('starting to compute %s xor\n'%n1) - #run experiment in parallel - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,0,max_depth=ceil(log2(n1)) - ) for _ in range(mc_rep) - ) - ) - # extract relevant data and store in arrays - mean_error[:,i] = np.mean(error,axis=0) - std_error[:,i] = np.std(error,ddof=1,axis=0) - mean_te[0,i] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i] = np.mean(error[:,2])/np.mean(error[:,5]) - - # initialize learning on n-xor data - if n1==n_xor[-1]: - for j,n2 in enumerate(n_nxor): - #print('starting to compute %s nxor\n'%n2) - # run experiment in parallel - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,n2,max_depth=ceil(log2(750)) - ) for _ in range(mc_rep) - ) - ) - # extract relevant data and store in arrays - mean_error[:,i+j+1] = np.mean(error,axis=0) - std_error[:,i+j+1] = np.std(error,ddof=1,axis=0) - mean_te[0,i+j+1] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i+j+1] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i+j+1] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i+j+1] = np.mean(error[:,2])/np.mean(error[:,5]) - - return mean_error, std_error, mean_te, std_te - -def experiment(n_task1, n_task2, n_test=1000, - task1_angle=0, task2_angle=np.pi/2, - n_trees=10, max_depth=None, random_state=None): - - """ - A function to do progressive experiment between two tasks - where the task data is generated using Gaussian parity. - - Parameters - ---------- - n_task1 : int - Total number of train sample for task 1. - - n_task2 : int - Total number of train dsample for task 2 - - n_test : int, optional (default=1000) - Number of test sample for each task. - - task1_angle : float, optional (default=0) - Angle in radian for task 1. - - task2_angle : float, optional (default=numpy.pi/2) - Angle in radian for task 2. - - n_trees : int, optional (default=10) - Number of total trees to train for each task. - - max_depth : int, optional (default=None) - Maximum allowable depth for each tree. - - random_state : int, RandomState instance, default=None - Determines random number generation for dataset creation. Pass an int - for reproducible output across multiple function calls. - - - Returns - ------- - errors : array of shape [6] - Elements of the array is organized as single task error task1, - multitask error task1, single task error task2, - multitask error task2, naive UF error task1, - naive UF task2. - """ - - if n_task1==0 and n_task2==0: - raise ValueError('Wake up and provide samples to train!!!') - - if random_state != None: - np.random.seed(random_state) - - errors = np.zeros(6,dtype=float) - - default_transformer_class = TreeClassificationTransformer - default_transformer_kwargs = {"kwargs" : {"max_depth" : max_depth}} - - default_voter_class = TreeClassificationVoter - default_voter_kwargs = {} - - default_decider_class = SimpleArgmaxAverage - default_decider_kwargs = {"classes" : np.arange(2)} - progressive_learner = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - naive_uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - - #source data - X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) - test_task1, test_label_task1 = generate_gaussian_parity(n_test, angle_params=task1_angle) - - #target data - X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) - test_task2, test_label_task2 = generate_gaussian_parity(n_test, angle_params=task2_angle) - - if n_task1 == 0: - progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) - - errors[0] = 0.5 - errors[1] = 0.5 - - uf_task2=progressive_learner.predict(test_task2, - transformer_ids=[0], task_id=0) - l2f_task2=progressive_learner.predict(test_task2, task_id=0) - - errors[2] = 1 - np.mean(uf_task2 == test_label_task2) - errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) - - errors[4] = 0.5 - errors[5] = 1 - np.mean(uf_task2 == test_label_task2) - elif n_task2 == 0: - progressive_learner.add_task(X_task1, y_task1, - num_transformers=n_trees) - - uf_task1=progressive_learner.predict(test_task1, - transformer_ids=[0], task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - - errors[0] = 1 - np.mean(uf_task1 == test_label_task1) - errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) - - errors[2] = 0.5 - errors[3] = 0.5 - - errors[4] = 1 - np.mean(uf_task1 == test_label_task1) - errors[5] = 0.5 - else: - progressive_learner.add_task(X_task1, y_task1, num_transformers=n_trees) - progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) - - uf.add_task(X_task1, y_task1, num_transformers=2*n_trees) - uf.add_task(X_task2, y_task2, num_transformers=2*n_trees) - - naive_uf_train_x = np.concatenate((X_task1,X_task2),axis=0) - naive_uf_train_y = np.concatenate((y_task1,y_task2),axis=0) - naive_uf.add_task( - naive_uf_train_x, naive_uf_train_y, num_transformers=n_trees - ) - - uf_task1=uf.predict(test_task1, transformer_ids=[0], task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - uf_task2=uf.predict(test_task2, transformer_ids=[1], task_id=1) - l2f_task2=progressive_learner.predict(test_task2, task_id=1) - naive_uf_task1 = naive_uf.predict( - test_task1, transformer_ids=[0], task_id=0 - ) - naive_uf_task2 = naive_uf.predict( - test_task2, transformer_ids=[0], task_id=0 - ) - - errors[0] = 1 - np.mean( - uf_task1 == test_label_task1 - ) - errors[1] = 1 - np.mean( - l2f_task1 == test_label_task1 - ) - errors[2] = 1 - np.mean( - uf_task2 == test_label_task2 - ) - errors[3] = 1 - np.mean( - l2f_task2 == test_label_task2 - ) - errors[4] = 1 - np.mean( - naive_uf_task1 == test_label_task1 - ) - errors[5] = 1 - np.mean( - naive_uf_task2 == test_label_task2 - ) - - return errors - - -def plot_error_and_eff(n1s, n2s, mean_error, mean_te, TASK1, TASK2): - """ - A function that plots the generalization error and - transfer efficiency for the xor-nxor-rxor experiment - - Parameters - ---------- - n1s : range(int) - Array of sample sizes tested for the first learner. - - n2s : range(int) - Array of sample sizes tested for the second learner. - - mean_error : np.array - Array of generalization errors. - - mean_te : np.array - Array of transfer efficiencies. - - task1 : str - String of the name of the first task. - - task2 : str - String of the name of the second task. - """ - - ns = np.concatenate((n1s, n2s + n1s[-1])) - ls=['-', '--'] - - ################################ - # Plots of Generalization Error - ################################ - algorithms = ["XOR Forest", "N-XOR Forest", "PLF", "RF"] - - fontsize=30 - labelsize=28 - - colors = sns.color_palette("Set1", n_colors = 2) - - fig = plt.figure(constrained_layout=True,figsize=(21,14)) - gs = fig.add_gridspec(14, 21) - ax1 = fig.add_subplot(gs[7:,:6]) - ax1.plot(ns, mean_error[1], label=algorithms[2], c=colors[0], ls=ls[np.sum(1 > 1).astype(int)], lw=3) - ax1.plot(ns, mean_error[4], label=algorithms[3], c='g', ls=ls[np.sum(1 > 1).astype(int)], lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK1), fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - #ax1.set_ylim(0.09, 0.21) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - #ax1.set_yticks([0.5,0.15, 0.25]) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - ax1.set_title('XOR', fontsize=30) - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - ############## - - algorithms = ["XOR Forest", "N-XOR Forest", "PLF", "RF"] - - TASK1='XOR' - TASK2='N-XOR' - - ax1 = fig.add_subplot(gs[7:,7:13]) - - ax1.plot(ns[len(n1s):], mean_error[3, len(n1s):], label=algorithms[2], c=colors[0], lw=3) - ax1.plot(ns[len(n1s):], mean_error[5, len(n1s):], label=algorithms[3], c='g', lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK2), fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - ax1.set_title('N-XOR', fontsize=30) - - ################################ - # Plots of Transfer Efficiency - ################################ - - algorithms = ['PLF BTE', 'PLF FTE', 'RF BTE', 'RF FTE'] - - TASK1='XOR' - TASK2='N-XOR' - - ax1 = fig.add_subplot(gs[7:,14:]) - - ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[1, len(n1s):], label=algorithms[1], c=colors[0], ls=ls[1], lw=3) - ax1.plot(ns, mean_te[2], label=algorithms[2], c='g', ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[3, len(n1s):], label=algorithms[3], c='g', ls=ls[1], lw=3) - - ax1.set_ylabel('Forward/Backward \n Transfer Efficiency (FTE/BTE)', fontsize=fontsize) - ax1.legend(loc='upper right', fontsize=20, frameon=False) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - #ax1.set_yticks([0,.5,1,1.5]) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - ax1.hlines(1, 50,1500, colors='gray', linestyles='dashed',linewidth=1.5) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - colors = sns.color_palette('Dark2', n_colors=2) - - X, Y = generate_gaussian_parity(750, angle_params=0) - Z, W = generate_gaussian_parity(750, angle_params=np.pi/2) - - ax = fig.add_subplot(gs[:6,4:10]) - clr = [colors[i] for i in Y] - ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('Gaussian XOR', fontsize=30) - - #plt.tight_layout() - ax.axis('off') - - colors = sns.color_palette('Dark2', n_colors=2) - - ax = fig.add_subplot(gs[:6,11:16]) - clr = [colors[i] for i in W] - ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('Gaussian N-XOR', fontsize=30) - ax.axis('off') - diff --git a/docs/tutorials/functions/xor_rxor_functions.py b/docs/tutorials/functions/xor_rxor_functions.py deleted file mode 100644 index 19571fa199..0000000000 --- a/docs/tutorials/functions/xor_rxor_functions.py +++ /dev/null @@ -1,458 +0,0 @@ -import numpy as np -import random - -from math import log2, ceil - -import seaborn as sns -import matplotlib.pyplot as plt -import matplotlib - -from proglearn.forest import LifelongClassificationForest, UncertaintyForest -from proglearn.sims import * -from proglearn.progressive_learner import ProgressiveLearner -from proglearn.deciders import SimpleArgmaxAverage -from proglearn.transformers import TreeClassificationTransformer, NeuralClassificationTransformer -from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter - -from joblib import Parallel, delayed - -def get_colors(colors, inds): - c = [colors[i] for i in inds] - return c - - -def plot_xor_rxor(data, labels, title): - colors = sns.color_palette("Dark2", n_colors=2) - fig, ax = plt.subplots(1, 1, figsize=(8, 8)) - ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title(title, fontsize=30) - #plt.tight_layout() - ax.axis("off") - plt.show() - -def run(mc_rep, n_test, n_trees,n_xor,n_rxor, mean_error, std_error, mean_te, std_te): - for i,n1 in enumerate(n_xor): - #print('starting to compute %s xor\n'%n1) - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,0,task2_angle=np.pi/4, - max_depth=ceil(log2(n1)) - ) for _ in range(mc_rep) - ) - ) - mean_error[:,i] = np.mean(error,axis=0) - std_error[:,i] = np.std(error,ddof=1,axis=0) - mean_te[0,i] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i] = np.mean(error[:,2])/np.mean(error[:,5]) - - if n1==n_xor[-1]: - for j,n2 in enumerate(n_rxor): - #print('starting to compute %s rxor\n'%n2) - - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - n1,n2,task2_angle=np.pi/4, - max_depth=ceil(log2(750)) - ) for _ in range(mc_rep) - ) - ) - mean_error[:,i+j+1] = np.mean(error,axis=0) - std_error[:,i+j+1] = np.std(error,ddof=1,axis=0) - mean_te[0,i+j+1] = np.mean(error[:,0])/np.mean(error[:,1]) - mean_te[1,i+j+1] = np.mean(error[:,2])/np.mean(error[:,3]) - mean_te[2,i+j+1] = np.mean(error[:,0])/np.mean(error[:,4]) - mean_te[3,i+j+1] = np.mean(error[:,2])/np.mean(error[:,5]) - - return mean_error, std_error, mean_te, std_te - - -def experiment(n_task1, n_task2, n_test=1000, - task1_angle=0, task2_angle=np.pi/2, - n_trees=10, max_depth=None, random_state=None): - - """ - A function to do progressive experiment between two tasks - where the task data is generated using Gaussian parity. - - Parameters - ---------- - n_task1 : int - Total number of train sample for task 1. - - n_task2 : int - Total number of train dsample for task 2 - - n_test : int, optional (default=1000) - Number of test sample for each task. - - task1_angle : float, optional (default=0) - Angle in radian for task 1. - - task2_angle : float, optional (default=numpy.pi/2) - Angle in radian for task 2. - - n_trees : int, optional (default=10) - Number of total trees to train for each task. - - max_depth : int, optional (default=None) - Maximum allowable depth for each tree. - - random_state : int, RandomState instance, default=None - Determines random number generation for dataset creation. Pass an int - for reproducible output across multiple function calls. - - - Returns - ------- - errors : array of shape [6] - Elements of the array is organized as single task error task1, - multitask error task1, single task error task2, - multitask error task2, naive UF error task1, - naive UF task2. - """ - - if n_task1==0 and n_task2==0: - raise ValueError('Wake up and provide samples to train!!!') - - if random_state != None: - np.random.seed(random_state) - - errors = np.zeros(6,dtype=float) - - default_transformer_class = TreeClassificationTransformer - default_transformer_kwargs = {"kwargs" : {"max_depth" : max_depth}} - - default_voter_class = TreeClassificationVoter - default_voter_kwargs = {} - - default_decider_class = SimpleArgmaxAverage - default_decider_kwargs = {"classes" : np.arange(2)} - progressive_learner = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - naive_uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - - #source data - X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) - test_task1, test_label_task1 = generate_gaussian_parity(n_test, angle_params=task1_angle) - - #target data - X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) - test_task2, test_label_task2 = generate_gaussian_parity(n_test, angle_params=task2_angle) - - if n_task1 == 0: - progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) - - errors[0] = 0.5 - errors[1] = 0.5 - - uf_task2=progressive_learner.predict(test_task2, - transformer_ids=[0], task_id=0) - l2f_task2=progressive_learner.predict(test_task2, task_id=0) - - errors[2] = 1 - np.mean(uf_task2 == test_label_task2) - errors[3] = 1 - np.mean(l2f_task2 == test_label_task2) - - errors[4] = 0.5 - errors[5] = 1 - np.mean(uf_task2 == test_label_task2) - elif n_task2 == 0: - progressive_learner.add_task(X_task1, y_task1, - num_transformers=n_trees) - - uf_task1=progressive_learner.predict(test_task1, - transformer_ids=[0], task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - - errors[0] = 1 - np.mean(uf_task1 == test_label_task1) - errors[1] = 1 - np.mean(l2f_task1 == test_label_task1) - - errors[2] = 0.5 - errors[3] = 0.5 - - errors[4] = 1 - np.mean(uf_task1 == test_label_task1) - errors[5] = 0.5 - else: - progressive_learner.add_task(X_task1, y_task1, num_transformers=n_trees) - progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) - - uf.add_task(X_task1, y_task1, num_transformers=2*n_trees) - uf.add_task(X_task2, y_task2, num_transformers=2*n_trees) - - naive_uf_train_x = np.concatenate((X_task1,X_task2),axis=0) - naive_uf_train_y = np.concatenate((y_task1,y_task2),axis=0) - naive_uf.add_task( - naive_uf_train_x, naive_uf_train_y, num_transformers=n_trees - ) - - uf_task1=uf.predict(test_task1, transformer_ids=[0], task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - uf_task2=uf.predict(test_task2, transformer_ids=[1], task_id=1) - l2f_task2=progressive_learner.predict(test_task2, task_id=1) - naive_uf_task1 = naive_uf.predict( - test_task1, transformer_ids=[0], task_id=0 - ) - naive_uf_task2 = naive_uf.predict( - test_task2, transformer_ids=[0], task_id=0 - ) - - errors[0] = 1 - np.mean( - uf_task1 == test_label_task1 - ) - errors[1] = 1 - np.mean( - l2f_task1 == test_label_task1 - ) - errors[2] = 1 - np.mean( - uf_task2 == test_label_task2 - ) - errors[3] = 1 - np.mean( - l2f_task2 == test_label_task2 - ) - errors[4] = 1 - np.mean( - naive_uf_task1 == test_label_task1 - ) - errors[5] = 1 - np.mean( - naive_uf_task2 == test_label_task2 - ) - - return errors - -def plot_error_and_eff(n1s, n2s, mean_error, mean_te, TASK1, TASK2): - """ - A function that plots the generalization error and - transfer efficiency for the xor-nxor-rxor experiment - - Parameters - ---------- - n1s : range(int) - Array of sample sizes tested for the first learner. - - n2s : range(int) - Array of sample sizes tested for the second learner. - - mean_error : np.array - Array of generalization errors. - - mean_te : np.array - Array of transfer efficiencies. - - task1 : str - String of the name of the first task. - - task2 : str - String of the name of the second task. - """ - - ns = np.concatenate((n1s, n2s + n1s[-1])) - ls=['-', '--'] - - ################################ - # Plots of Generalization Error - ################################ - algorithms = ["XOR Forest", "N-XOR Forest", "PLF", "RF"] - - - fontsize=30 - labelsize=28 - - colors = sns.color_palette("Set1", n_colors = 2) - - fig = plt.figure(constrained_layout=True,figsize=(21,14)) - gs = fig.add_gridspec(14, 21) - ax1 = fig.add_subplot(gs[7:,:6]) - ax1.plot(ns, mean_error[1], label=algorithms[2], c=colors[0], ls=ls[np.sum(1 > 1).astype(int)], lw=3) - ax1.plot(ns, mean_error[4], label=algorithms[3], c='g', ls=ls[np.sum(1 > 1).astype(int)], lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK1), fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - #ax1.set_ylim(0.09, 0.21) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - #ax1.set_yticks([0.1,0.15, 0.2]) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - ax1.set_title('XOR', fontsize=30) - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - - algorithms = ["XOR Forest", "N-XOR Forest", "PLF", "RF"] - - TASK1='XOR' - TASK2='R-XOR' - - ax1 = fig.add_subplot(gs[7:,7:13]) - - ax1.plot(ns[len(n1s):], mean_error[3, len(n1s):], label=algorithms[2], c=colors[0], lw=3) - ax1.plot(ns[len(n1s):], mean_error[5, len(n1s):], label=algorithms[3], c='g', lw=3) - - ax1.set_ylabel('Generalization Error (%s)'%(TASK2), fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - - - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - ax1.set_title('R-XOR', fontsize=30) - - ################################ - # Plots of Transfer Efficiency - ################################ - - algorithms = ['PLF BTE', 'PLF FTE', 'RF BTE', 'RF FTE'] - - ax1 = fig.add_subplot(gs[7:,14:]) - - ax1.plot(ns, mean_te[0], label=algorithms[0], c=colors[0], ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[1, len(n1s):], label=algorithms[1], c=colors[0], ls=ls[1], lw=3) - ax1.plot(ns, mean_te[2], label=algorithms[2], c='g', ls=ls[0], lw=3) - ax1.plot(ns[len(n1s):], mean_te[3, len(n1s):], label=algorithms[3], c='g', ls=ls[1], lw=3) - - ax1.set_ylabel('Forward/Backward \n Transfer Efficiency (FTE/BTE)', fontsize=fontsize) - ax1.legend(loc='upper left', fontsize=20, frameon=False) - ax1.set_xlabel('Total Sample Size', fontsize=fontsize) - ax1.tick_params(labelsize=labelsize) - #ax1.set_yticks([0,.5,1,1.5]) - ax1.set_xticks([50,750,1500]) - ax1.axvline(x=750, c='gray', linewidth=1.5, linestyle="dashed") - right_side = ax1.spines["right"] - right_side.set_visible(False) - top_side = ax1.spines["top"] - top_side.set_visible(False) - ax1.hlines(1, 50,1500, colors='gray', linestyles='dashed',linewidth=1.5) - - ax1.text(400, np.mean(ax1.get_ylim()), "%s"%(TASK1), fontsize=26) - ax1.text(900, np.mean(ax1.get_ylim()), "%s"%(TASK2), fontsize=26) - - colors = sns.color_palette('Dark2', n_colors=2) - - X, Y = generate_gaussian_parity(750, angle_params=0) - Z, W = generate_gaussian_parity(750, angle_params=np.pi/4) - - ax = fig.add_subplot(gs[:6,4:10]) - clr = [colors[i] for i in Y] - ax.scatter(X[:, 0], X[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('Gaussian XOR', fontsize=30) - - #plt.tight_layout() - ax.axis('off') - - colors = sns.color_palette('Dark2', n_colors=2) - - ax = fig.add_subplot(gs[:6,11:16]) - clr = [colors[i] for i in W] - ax.scatter(Z[:, 0], Z[:, 1], c=clr, s=50) - - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title('Gaussian R-XOR', fontsize=30) - ax.axis('off') - -def bte_v_angle(angle_sweep,task1_sample,task2_sample,mc_rep): - mean_te = np.zeros(len(angle_sweep), dtype=float) - for ii,angle in enumerate(angle_sweep): - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - task1_sample,task2_sample, - task2_angle=angle*np.pi/180, - max_depth=ceil(log2(task1_sample)) - ) for _ in range(mc_rep) - ) - ) - - mean_te[ii] = np.mean(error[:,0])/np.mean(error[:,1]) - return mean_te - -def plot_bte_v_angle(mean_te): - angle_sweep = range(0,90,1) - - sns.set_context("talk") - fig, ax = plt.subplots(1,1, figsize=(8,8)) - ax.plot(angle_sweep,mean_te,linewidth = 3) - ax.set_xticks(range(0,91,10)) - ax.set_xlabel('Angle of Rotation (Degrees)') - ax.set_ylabel('Backward Transfer Efficiency (XOR)') - ax.hlines(1, 0,90, colors='gray', linestyles='dashed',linewidth=1.5) - - right_side = ax.spines["right"] - right_side.set_visible(False) - top_side = ax.spines["top"] - top_side.set_visible(False) - -def bte_v_nsamples(task2_sample_sweep, task1_sample,task2_angle,mc_rep): - mean_te = np.zeros(len(task2_sample_sweep), dtype=float) - for ii,sample_no in enumerate(task2_sample_sweep): - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - task1_sample,sample_no, - task2_angle=task2_angle, - max_depth=None - ) for _ in range(mc_rep) - ) - ) - - mean_te[ii] = np.mean(error[:,0])/np.mean(error[:,1]) - return mean_te - -def plot_bte_v_nsamples(mean_te): - task2_sample_sweep = (2**np.arange(np.log2(60), np.log2(5010)+1, .25)).astype('int') - - sns.set_context("talk") - fig, ax = plt.subplots(1,1, figsize=(8,8)) - ax.plot(task2_sample_sweep,mean_te,linewidth = 3) - ax.hlines(1, 60,5200, colors='gray', linestyles='dashed',linewidth=1.5) - ax.set_xscale('log') - ax.set_xticks([]) - #ax.set_yticks([0.87,0.9,0.93]) - ax.tick_params(labelsize=26) - ax.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter()) - ax.text(50, np.mean(ax.get_ylim())-.060, "50", fontsize=26) - ax.text(500, np.mean(ax.get_ylim())-.060, "500", fontsize=26) - ax.text(5000, np.mean(ax.get_ylim())-.060, "5000", fontsize=26) - - ax.text(50, np.mean(ax.get_ylim())-.068, "Number of $25^\circ$-RXOR Training Samples", fontsize=24) - ax.set_ylabel('Backward Transfer Efficiency (XOR)',fontsize=24) - - right_side = ax.spines["right"] - right_side.set_visible(False) - top_side = ax.spines["top"] - top_side.set_visible(False) \ No newline at end of file diff --git a/docs/tutorials/functions/xor_rxor_with_cpd_functions.py b/docs/tutorials/functions/xor_rxor_with_cpd_functions.py deleted file mode 100644 index d00878006e..0000000000 --- a/docs/tutorials/functions/xor_rxor_with_cpd_functions.py +++ /dev/null @@ -1,186 +0,0 @@ -import numpy as np -import random -import seaborn as sns -import matplotlib.pyplot as plt -import matplotlib - -from joblib import Parallel, delayed -from math import log2, ceil - -from proglearn.forest import LifelongClassificationForest, UncertaintyForest -from proglearn.sims import * -from proglearn.progressive_learner import ProgressiveLearner -from proglearn.deciders import SimpleArgmaxAverage -from proglearn.transformers import TreeClassificationTransformer, NeuralClassificationTransformer -from proglearn.voters import TreeClassificationVoter, KNNClassificationVoter -from pycpd import AffineRegistration - -def get_colors(colors, inds): - c = [colors[i] for i in inds] - return c - -def cpd_reg(template, target, max_iter=50): - registration = AffineRegistration(X=target, Y=template, max_iterations=max_iter) - deformed_template = registration.register(template) - - return deformed_template[0] - -def plot_xor_rxor(data, labels, title): - colors = sns.color_palette("Dark2", n_colors=2) - fig, ax = plt.subplots(1, 1, figsize=(8, 8)) - ax.scatter(data[:, 0], data[:, 1], c=get_colors(colors, labels), s=50) - ax.set_xticks([]) - ax.set_yticks([]) - ax.set_title(title, fontsize=30) - #plt.tight_layout() - ax.axis("off") - plt.show() - -def experiment(n_task1, n_task2, n_test=1000, - task1_angle=0, task2_angle=np.pi/2, - n_trees=10, max_depth=None, random_state=None, - register=False): - - """ - A function to do backwards transfer efficiency experiment - between two tasks. Task 1 is XOR. Task 2 is RXOR. - A registered Task 2 - - Parameters - ---------- - n_task1 : int - Total number of train sample for task 1. - - n_task2 : int - Total number of train dsample for task 2 - - n_test : int, optional (default=1000) - Number of test sample for each task. - - task1_angle : float, optional (default=0) - Angle in radian for task 1. - - task2_angle : float, optional (default=numpy.pi/2) - Angle in radian for task 2. - - n_trees : int, optional (default=10) - Number of total trees to train for each task. - - max_depth : int, optional (default=None) - Maximum allowable depth for each tree. - - random_state : int, RandomState instance, default=None - Determines random number generation for dataset creation. Pass an int - for reproducible output across multiple function calls. - - register: boolean, default=False - Register task2 to task1 before feeding to forest. - - Returns - ------- - errors : array of shape [6] - Elements of the array is organized as single task error task1, - multitask error task1, single task error task2, - multitask error task2, naive UF error task1, - naive UF task2. - """ - - if n_task1==0 and n_task2==0: - raise ValueError('Wake up and provide samples to train!!!') - - if random_state != None: - np.random.seed(random_state) - - errors = np.zeros(6,dtype=float) - - default_transformer_class = TreeClassificationTransformer - default_transformer_kwargs = {"kwargs" : {"max_depth" : max_depth}} - - default_voter_class = TreeClassificationVoter - default_voter_kwargs = {} - - default_decider_class = SimpleArgmaxAverage - default_decider_kwargs = {"classes" : np.arange(2)} - progressive_learner = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - naive_uf = ProgressiveLearner(default_transformer_class = default_transformer_class, - default_transformer_kwargs = default_transformer_kwargs, - default_voter_class = default_voter_class, - default_voter_kwargs = default_voter_kwargs, - default_decider_class = default_decider_class, - default_decider_kwargs = default_decider_kwargs) - - #source data - X_task1, y_task1 = generate_gaussian_parity(n_task1, angle_params=task1_angle) - test_task1, test_label_task1 = generate_gaussian_parity(n_test, angle_params=task1_angle) - - #target data - X_task2, y_task2 = generate_gaussian_parity(n_task2, angle_params=task2_angle) - test_task2, test_label_task2 = generate_gaussian_parity(n_test, angle_params=task2_angle) - - - if register: - X_task2 = cpd_reg(X_task2.copy(), X_task1.copy()) - - progressive_learner.add_task(X_task1, y_task1, num_transformers=n_trees) - progressive_learner.add_task(X_task2, y_task2, num_transformers=n_trees) - - uf.add_task(X_task1, y_task1, num_transformers=2*n_trees) - uf.add_task(X_task2, y_task2, num_transformers=2*n_trees) - - uf_task1=uf.predict(test_task1, transformer_ids=[0], task_id=0) - l2f_task1=progressive_learner.predict(test_task1, task_id=0) - - errors[0] = 1 - np.mean( - uf_task1 == test_label_task1 - ) - errors[1] = 1 - np.mean( - l2f_task1 == test_label_task1 - ) - - return errors - - -def bte_v_angle(angle_sweep,task1_sample,task2_sample,mc_rep, adaptation): - mean_te = np.zeros(len(angle_sweep), dtype=float) - for ii,angle in enumerate(angle_sweep): - error = np.array( - Parallel(n_jobs=-1,verbose=0)( - delayed(experiment)( - task1_sample,task2_sample, - task2_angle=angle*np.pi/180, - max_depth=ceil(log2(task1_sample)), - register=adaptation - ) for _ in range(mc_rep) - ) - ) - - mean_te[ii] = np.mean(error[:,0])/np.mean(error[:,1]) - return mean_te - -def plot_bte_v_angle(angle_sweep, mean_te1, mean_te2): - sns.set_context("talk") - fig, ax = plt.subplots(1,1, figsize=(8,8)) - task = ['R-XOR as Task 2', 'A-XOR as Task 2'] - ax.plot(angle_sweep, mean_te1, linewidth = 3, label=task[0]) - ax.plot(angle_sweep, mean_te2, linewidth = 3, label=task[1]) - ax.set_xticks(range(0,91,10)) - ax.set_xlabel('Angle of Rotation (Degrees)') - ax.set_ylabel('Backward Transfer Efficiency (XOR)') - ax.hlines(1, 0,90, colors='gray', linestyles='dashed',linewidth=1.5) - ax.legend(loc='upper center', fontsize=20, frameon=False) - - right_side = ax.spines["right"] - right_side.set_visible(False) - top_side = ax.spines["top"] - top_side.set_visible(False) \ No newline at end of file diff --git a/docs/tutorials/honest_posteriorestimates_runtime.ipynb b/docs/tutorials/honest_posteriorestimates_runtime.ipynb new file mode 100644 index 0000000000..f19f91b220 --- /dev/null +++ b/docs/tutorials/honest_posteriorestimates_runtime.ipynb @@ -0,0 +1,876 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analyzing Honest Forests by Reproducing Posterior Estimates and Comparing Runtimes with sklearn's RandomForest Class\n", + "\n", + "*Goal: Run the UncertaintyForest class (an honest forest based on sklearn written by [Ronan Perry](https://github.com/rflperry)) to produce a figure that compares estimated posteriors for the UncertaintyForest, CART, and IRF algorithms, as in Figure 1 from [this paper](https://arxiv.org/pdf/1907.00325.pdf), and also compare honest forest and RandomForest runtimes (Runtimes Figure)*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import Required Packages" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n %reload_ext autoreload\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.calibration import CalibratedClassifierCV\n", + "\n", + "from joblib import Parallel, delayed\n", + "from sklearn.utils.fixes import _joblib_parallel_args\n", + "import threading\n", + "from sklearn.ensemble._base import _partition_estimators\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline\n", + "%load_ext autoreload\n", + "%autoreload 2\n", + "sns.set_context(\"paper\", font_scale=1.5) \n", + "\n", + "from sklearn.utils.validation import check_X_y, check_array\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "\n", + "from tqdm.notebook import tqdm\n", + "from scipy.stats import norm\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Specify Parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "# The following are two sets of parameters.\n", + "# The first are those that were actually used to produce Figure 1 for UncertaintyForest in ProgLearn.\n", + "# These take a long time to actually run since there are 6000 data points.\n", + "# Below those, you'll find some scaled-down parameters so that you can see the results more quickly.\n", + "\n", + "# Here are the paper reproduction parameters\n", + "#n = 6000\n", + "#mean = 1\n", + "#var = 1\n", + "#num_trials = 100 \n", + "#X_eval = np.linspace(-2, 2, num = 30).reshape(-1, 1)\n", + "#n_estimators = 300\n", + "#num_plotted_trials = 10\n", + "\n", + "# Here are scaled-down tutorial parameters\n", + "n = 300 # number of data points\n", + "mean = 1 # mean of the data\n", + "var = 1 # variance of the data\n", + "num_trials = 100 # number of trials to run\n", + "X_eval = np.linspace(-2, 2, num = 10).reshape(-1, 1) # the evaluation span (over X) for the plot\n", + "n_estimators = 100 # the number of estimators\n", + "num_plotted_trials = 5 # the number of \"fainter\" lines to be displayed on the figure" + ] + }, + { + "source": [ + "## Define honest forest as a new UncertaintyForest class" + ], + "cell_type": "markdown", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "# Updates to UncertaintyForest class based on sklearn by Ronan Perry (NeuroData Lab, 2021)\n", + "class UncertaintyForest:\n", + " \"\"\"\n", + " A class used to represent an Uncertainty Forest.\n", + "\n", + " Parameters\n", + " ----------\n", + " n_estimators : int, default=100\n", + " The number of trees in the UncertaintyForest\n", + "\n", + " max_depth : int, default=None\n", + " The maximum depth of a tree in the UncertaintyForest.\n", + "\n", + " tree_construction_proportion : float, default=0.5\n", + " The proportions of the input data set aside to train each decision\n", + " tree. The remainder of the data is used to fill in voting posteriors.\n", + "\n", + " max_features : {\"auto\", \"sqrt\", \"log2\"}, int or float, default=\"auto\"\n", + " The number of features to consider when looking for the best split:\n", + " - If int, then consider `max_features` features at each split.\n", + " - If float, then `max_features` is a fraction and\n", + " `round(max_features * n_features)` features are considered at each\n", + " split.\n", + " - If \"auto\", then `max_features=sqrt(n_features)`.\n", + " - If \"sqrt\", then `max_features=sqrt(n_features)` (same as \"auto\").\n", + " - If \"log2\", then `max_features=log2(n_features)`.\n", + " - If None, then `max_features=n_features`.\n", + "\n", + " Note: the search for a split does not stop until at least one\n", + " valid partition of the node samples is found, even if it requires to\n", + " effectively inspect more than ``max_features`` features.\n", + "\n", + " n_jobs : int, default=None\n", + " The number of jobs to run in parallel. ``-1`` means use all\n", + " processors. None equates to 1.\n", + "\n", + " tree_kwargs : dict, default={}\n", + " Named arguments to be passed to each\n", + " sklearn.tree.DecisionTreeClassifier tree used in the construction\n", + " of the forest in addition to the above parameters.\n", + "\n", + " Attributes\n", + " ----------\n", + " transformers_ : list of sklearn.tree.DecisionTreeClassifier\n", + " The collection of fitted trees.\n", + "\n", + " voters_ : list of proglearn.voter.TreeClassificationVoter\n", + " The collection of honest voters for leaves in matching trees in\n", + " `self.estimators_` at the same index.\n", + "\n", + " n_features_ : int\n", + " The number of features when `fit` is performed.\n", + "\n", + " tree_kwargs_ : dict\n", + " Full set of keyword arguments passed to the Forest transformer.\n", + "\n", + " References\n", + " ----------\n", + " .. [#1grf] Athey, Susan, Julie Tibshirani and Stefan Wager.\n", + " \"Generalized Random Forests\", Annals of Statistics, 2019.\n", + " \"\"\"\n", + "\n", + " def __init__(\n", + " self,\n", + " n_estimators=100,\n", + " max_depth=None,\n", + " tree_construction_proportion=0.63,\n", + " max_features=\"auto\",\n", + " n_jobs=None,\n", + " ):\n", + " self.n_estimators = n_estimators\n", + " self.max_depth = max_depth\n", + " self.tree_construction_proportion = tree_construction_proportion\n", + " self.max_features = max_features\n", + " self.n_jobs = n_jobs\n", + " self.verbose = 0\n", + "\n", + " def fit(self, X, y):\n", + " \"\"\"\n", + " fits forest to data X with labels y\n", + "\n", + " Parameters\n", + " ----------\n", + " X : array of shape [n_samples, n_features]\n", + " The data that will be trained on\n", + "\n", + " y : array of shape [n_samples]\n", + " The label for cluster membership of the given data\n", + "\n", + " Returns\n", + " -------\n", + " self : UncertaintyForest\n", + " The object itself.\n", + " \"\"\"\n", + " X, y = check_X_y(X, y)\n", + "\n", + " self.n_samples_, self.n_features_ = X.shape\n", + " self.n_classes_ = len(np.unique(y))\n", + " self.empirical_prior_ = np.bincount(y, minlength=self.n_classes_) / len(y) # Note: throws an error if data is -1, 1 (negative list values) rather than 0, 1\n", + "\n", + " self.transformers_ = [\n", + " DecisionTreeClassifier(\n", + " max_features = self.max_features,\n", + " max_depth = self.max_depth)\n", + " for _ in range(self.n_estimators)\n", + " ]\n", + "\n", + " # Source https://github.com/scikit-learn/scikit-learn/blob/95119c13a/sklearn/ensemble/_forest.py#L387\n", + " self.transformers_, self.transformer_indices_ = list(zip(\n", + " *Parallel(n_jobs=self.n_jobs, verbose=self.verbose, **_joblib_parallel_args(prefer=\"threads\"))(\n", + " delayed(_parallel_build_trees)(\n", + " X, y, tree, self.n_samples_, self.n_classes_, self.tree_construction_proportion)\n", + " for tree in self.transformers_)\n", + " )) \n", + " \n", + " return self\n", + "\n", + " def predict_proba(self, X):\n", + " \"\"\"\n", + " estimates class posteriors for each example in input data X.\n", + "\n", + " Parameters\n", + " ----------\n", + " X : array of shape [n_samples, n_features]\n", + " The data whose posteriors we are estimating.\n", + "\n", + " Returns\n", + " -------\n", + " y_proba_hat : ndarray of shape [n_samples, n_classes]\n", + " posteriors per example\n", + " \"\"\"\n", + " X = self._validate_X_predict(X)\n", + " n_jobs, _, _ = _partition_estimators(self.n_estimators, self.n_jobs)\n", + "\n", + " # avoid storing the output of every estimator by summing them here\n", + " posteriors = np.zeros((X.shape[0], self.n_classes_), dtype=np.float64)\n", + " lock = threading.Lock()\n", + "\n", + " Parallel(n_jobs=n_jobs, verbose=self.verbose, **_joblib_parallel_args(require=\"sharedmem\"))(\n", + " delayed(_accumulate_prediction)(tree.tree_.predict, X, posteriors, lock, None)\n", + " for tree in self.transformers_)\n", + "\n", + " # Normalize to unit length, due to prior weighting\n", + " zero_mask = posteriors.sum(1) == 0\n", + " posteriors[~zero_mask] /= posteriors[~zero_mask].sum(1, keepdims=True)\n", + " posteriors[zero_mask] = self.empirical_prior_\n", + "\n", + " return posteriors\n", + "\n", + " def _validate_X_predict(self, X):\n", + " \"\"\"\n", + " From sklearn\n", + " Validate X whenever one tries to predict, apply, predict_proba.\"\"\"\n", + " check_is_fitted(self)\n", + "\n", + " return self.transformers_[0]._validate_X_predict(X, check_input=True)\n", + "\n", + " def predict(self, X):\n", + " \"\"\"\n", + " predicts class labels for each example in input data X.\n", + "\n", + " Parameters\n", + " ----------\n", + " X : array of shape [n_samples, n_features]\n", + " The data on which we are performing inference.\n", + "\n", + " Returns\n", + " -------\n", + " y_hat : ndarray of shape [n_samples]\n", + " predicted class label per example\n", + " \"\"\"\n", + " return self.predict_proba(X).argmax(1)\n", + "\n", + " def predict_proba_honest(self, X):\n", + " \"\"\"\n", + " Returns predicted posteriors of the training data, excluding trees a\n", + " sample was used in construction of.\n", + "\n", + " Parameters\n", + " ----------\n", + " X : array of shape [n_samples, n_features]\n", + " The data on which the forest was fit to.\n", + "\n", + " Returns\n", + " -------\n", + " y_proba_hat : ndarray of shape [n_samples, n_classes]\n", + " posteriors per example\n", + " \"\"\"\n", + " X = self._validate_X_predict(X)\n", + " n_jobs, _, _ = _partition_estimators(self.n_estimators, self.n_jobs)\n", + "\n", + " # avoid storing the output of every estimator by summing them here\n", + " posteriors = np.zeros((X.shape[0], self.n_classes_), dtype=np.float64)\n", + " lock = threading.Lock()\n", + "\n", + " Parallel(n_jobs=n_jobs, verbose=self.verbose, **_joblib_parallel_args(require=\"sharedmem\"))(\n", + " delayed(_accumulate_prediction)(tree.tree_.predict, X, posteriors, lock, honest_indices)\n", + " for tree, honest_indices in zip(self.transformers_, self.voter_indices_))\n", + "\n", + " # Normalize to unit length, due to prior weighting\n", + " zero_mask = posteriors.sum(1) == 0\n", + " posteriors[~zero_mask] /= posteriors[~zero_mask].sum(1, keepdims=True)\n", + " posteriors[zero_mask] = self.empirical_prior_\n", + "\n", + " return posteriors\n", + "\n", + "\n", + " @property\n", + " def voter_indices_(self):\n", + " if not hasattr(self, \"transformer_indices_\"):\n", + " raise AttributeError(\"Model has not been fitted. Please fit first.\")\n", + " return [\n", + " np.setdiff1d(np.arange(self.n_samples_), transformer_indices)\n", + " for transformer_indices in self.transformer_indices_]\n", + "\n", + "\n", + "def _parallel_build_trees(\n", + " X, y, tree, n_samples_, n_classes_, tree_construction_proportion):\n", + " # https://github.com/scikit-learn/scikit-learn/blob/95119c13a/sklearn/ensemble/_forest.py#L140\n", + " \"\"\"\n", + " Private function used to fit a single tree in parallel.\"\"\"\n", + "\n", + " transformer_indices = np.random.choice(\n", + " n_samples_,\n", + " int(tree_construction_proportion * n_samples_),\n", + " replace=False) # No bootstrapping\n", + " voter_indices = np.setdiff1d(\n", + " np.arange(n_samples_), transformer_indices)\n", + "\n", + " sample_weight = np.ones((n_samples_,), dtype=np.float64)\n", + " sample_counts = np.bincount(\n", + " transformer_indices, minlength=n_samples_)\n", + " sample_weight *= sample_counts\n", + "\n", + " tree.fit(X, y, sample_weight=sample_weight, check_input=False)\n", + "\n", + " honest_leaves = tree.apply(X[voter_indices])\n", + " \n", + " tree.tree_.value[:, :, :] = 0 # empirical_prior\n", + "\n", + " for leaf_id, yval in zip(honest_leaves, y[voter_indices]):\n", + " tree.tree_.value[leaf_id][0, yval] += 1\n", + "\n", + " return tree, transformer_indices\n", + "\n", + "\n", + "def _accumulate_prediction(predict, X, out, lock, honest_indices=None):\n", + " \"\"\"\n", + " See https://github.com/scikit-learn/scikit-learn/blob/95119c13af77c76e150b753485c662b7c52a41a2/sklearn/ensemble/_forest.py#L460\n", + "\n", + " This is a utility function for joblib's Parallel.\n", + " It can't go locally in ForestClassifier or ForestRegressor, because joblib\n", + " complains that it cannot pickle it when placed there.\n", + " \"\"\"\n", + "\n", + " # predict = DecisionTreeClassifier.tree_.predict\n", + " if honest_indices is not None:\n", + " proba = predict(X[honest_indices])\n", + " else:\n", + " proba = predict(X)\n", + " \n", + " zero_mask = proba.sum(1) == 0\n", + " proba[~zero_mask] /= proba[~zero_mask].sum(1, keepdims=True)\n", + " with lock:\n", + " if honest_indices is not None:\n", + " out[honest_indices] += proba\n", + " else:\n", + " out += proba" + ] + }, + { + "source": [ + "## Define functions for estimating and plotting posteriors" + ], + "cell_type": "markdown", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_data_newUF(n, mean, var):\n", + " '''\n", + " Parameters\n", + " ---\n", + " n : int\n", + " The number of data to be generated\n", + " mean : double\n", + " The mean of the data to be generated\n", + " var : double\n", + " The variance in the data to be generated\n", + " '''\n", + " y = np.random.binomial(1, .5, n) # classes are 0 and 1. #UPDATED compared to UncertaintyForest tutorials\n", + " X = np.random.normal(mean * (2*y - 1), np.sqrt(var), (1, n)).T #UPDATED\n", + " \n", + " return X, y\n", + "\n", + "def estimate_posterior_newUF(algo, n, mean, var, num_trials, X_eval, parallel = False):\n", + " '''\n", + " Estimate posteriors for many trials and evaluate in the given X_eval range\n", + " \n", + " Parameters\n", + " ---\n", + " algo : dict\n", + " A dictionary of the learner to be used containing a key \"instance\" of the learner\n", + " n : int\n", + " The number of data to be generated\n", + " mean : double\n", + " The mean of the data used\n", + " var : double\n", + " The variance of the data used\n", + " num_trials : int\n", + " The number of trials to run over\n", + " X_eval : list\n", + " The range over which to evaluate X values for\n", + " '''\n", + " obj = algo['instance'] # grabbing the instance of the learner \n", + " def worker(t):\n", + " X, y = generate_data_newUF(n, mean, var) # generating data with the function above #UPDATED\n", + " obj.fit(X, y) # using the fit function of the learner to fit the data\n", + " return obj.predict_proba(X_eval)[:,1] # using the predict_proba function on the range of desired X\n", + " \n", + " if parallel:\n", + " predicted_posterior = np.array(Parallel(n_jobs=-2)(delayed(worker)(t) for t in range(num_trials)))\n", + " else:\n", + " predicted_posterior = np.zeros((num_trials, X_eval.shape[0]))\n", + " for t in tqdm(range(num_trials)):\n", + " predicted_posterior[t, :] = worker(t)\n", + "\n", + " return predicted_posterior\n", + "\n", + "def plot_posterior(ax, algo, num_plotted_trials, X_eval, n, mean, var):\n", + " \"\"\"\n", + " Will be used for CART, Honest, or Uncertainty Forest to plot P(Y = 1 | X = x). \n", + " This is the left three plots in figure 1.\n", + " Plots each of num_plotted_trials iterations, highlighting a single line\n", + " \n", + " Parameters\n", + " ---\n", + " ax : list\n", + " Holds the axes of the subplots\n", + " algo : dict\n", + " A dictionary of the learner to be used containing a key \"instance\" of the learner\n", + " num_plotted_trials : int\n", + " The number of trials that will be overlayed. This is shown as the lighter lines figure 1.\n", + " X_eval : list\n", + " The range over which to evaluate X values for\n", + " \"\"\"\n", + " plot_truth(ax, n, mean, var, X_eval)\n", + "\n", + " for i in range(num_plotted_trials):\n", + " linewidth = 1\n", + " opacity = .3\n", + " if i == num_plotted_trials - 1:\n", + " opacity = 1\n", + " linewidth = 8\n", + " ax.set_title(algo['title'])\n", + " ax.plot(X_eval.flatten().ravel(), algo['predicted_posterior'][i, :].ravel(), \n", + " label = algo['label'],\n", + " linewidth = linewidth, \n", + " color = algo['color'], \n", + " alpha = opacity)\n", + "\n", + "\n", + "def plot_truth(ax, n, mean, var, X_eval):\n", + " '''\n", + " Parameters\n", + " ---\n", + " ax : list\n", + " Holds the axes of the subplots\n", + " n : int\n", + " The number of data to be generated\n", + " mean : double\n", + " The mean of the data to be generated\n", + " var : double\n", + " The variance in the data to be generated\n", + " X_eval : list\n", + " The range over which to evaluate X values for\n", + " '''\n", + " # By Bayes' rule: (0.5 * X_given_y_1)/((0.5 * X_given_y_1)+(0.5 * X_given_y_negative1))\n", + " # = (X_given_y_1)/(X_given_y_1+X_given_y_negative1)\n", + " \n", + " # plot ground truth\n", + " opacity = 1\n", + " linewidth = 8\n", + " f_X_given_ypositive = norm.pdf(X_eval.flatten().ravel(), mean, var)\n", + " f_X_given_ynegative = norm.pdf(X_eval.flatten().ravel(), -mean, var)\n", + " ax.plot(X_eval.flatten().ravel(), \n", + " (f_X_given_ypositive/(f_X_given_ypositive+f_X_given_ynegative)).flatten().ravel(), \n", + " label = \"Truth\",\n", + " linewidth = linewidth, \n", + " color = \"black\", \n", + " alpha = opacity)\n", + "\n", + "def plot_variance(ax, algos, X_eval):\n", + " \"\"\"\n", + " Will be used for the rightmost plot in figure 1.\n", + " Plots the variance over the number of trials.\n", + " \n", + " Parameters\n", + " ---\n", + " ax : list\n", + " Holds the axes of the subplots\n", + " algos : list\n", + " A list of dictionaries of the learners to be used\n", + " X_eval : list\n", + " The range over which to evaluate X values for\n", + " \"\"\"\n", + " ax.set_title('Posterior Variance') # adding a title to the plot\n", + " for algo in algos: # looping over the algorithms used\n", + " variance = np.var(algo['predicted_posterior'], axis = 0) # determining the variance\n", + " ax.plot(X_eval.flatten().ravel(), variance.ravel(), \n", + " label = algo['label'],\n", + " linewidth = 8, \n", + " color = algo['color']) # plotting\n", + "\n", + "def plot_fig1(algos, num_plotted_trials, X_eval, n, mean, var):\n", + " \"\"\"\n", + " Sets the communal plotting parameters and creates figure 1\n", + "\n", + " Parameters\n", + " ---\n", + " algos : list\n", + " A list of dictionaries of the learners to be used\n", + " num_plotted_trials : int\n", + " The number of trials that will be overlayed. This is shown as the lighter lines figure 1.\n", + " X_eval : list\n", + " The range over which to evaluate X values for\n", + " n : int\n", + " The number of data to be generated\n", + " mean : double\n", + " The mean of the data to be generated\n", + " var : double\n", + " The variance in the data to be generated\n", + " \"\"\"\n", + " sns.set(font_scale = 6) # setting font size\n", + " sns.set_style(\"ticks\") # setting plot style\n", + " plt.rcParams['figure.figsize'] = [55, 14] # setting figure size\n", + " fig, axes = plt.subplots(1, 4) # creating the axes (that will be passed to the subsequent functions)\n", + " for ax in axes[0:3]:\n", + " ax.set_xlim(-2.1, 2.1) # setting x limits\n", + " ax.set_ylim(-0.05, 1.05) # setting y limits\n", + "\n", + " # Create the 3 posterior plots. (Left three plots in figure 1)\n", + " for i in range(len(algos)):\n", + " plot_posterior(axes[i], \n", + " algos[i],\n", + " num_plotted_trials, \n", + " X_eval, n, mean, var)\n", + "\n", + " # Create the 1 variance plot. (Rightmost plot in figure 1)\n", + " plot_variance(axes[3], algos, X_eval)\n", + " \n", + " fig.text(0.5, .08, 'x', ha='center') # defining the style of the figure text\n", + " axes[0].set_ylabel(r\"$\\hat P(Y = 1|X = x)$\") # labeling the axes\n", + " axes[0].set_xlabel(\" \")\n", + " axes[3].set_ylabel(r\"Var($\\hat P(Y = 1|X = x)$)\")\n", + " \n", + " fig.tight_layout()\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Specify Learners\n", + "\n", + "Now, we'll specify which learners we'll compare. Figure 1 uses three different learners." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "# Algorithms used to produce figure 1\n", + "algos = [\n", + " {\n", + " 'instance': RandomForestClassifier(n_estimators = n_estimators),\n", + " 'label': 'CART',\n", + " 'title': 'CART Forest',\n", + " 'color': \"#1b9e77\",\n", + " },\n", + " {\n", + " 'instance': CalibratedClassifierCV(base_estimator=RandomForestClassifier(n_estimators = n_estimators // 5), \n", + " method='isotonic', \n", + " cv = 5),\n", + " 'label': 'IRF',\n", + " 'title': 'Isotonic Reg. Forest',\n", + " 'color': \"#fdae61\",\n", + " },\n", + " {\n", + " 'instance': UncertaintyForest(n_estimators=100, tree_construction_proportion=0.63),\n", + " 'label': 'UF',\n", + " 'title': 'Uncertainty Forest',\n", + " 'color': \"#F41711\",\n", + " },\n", + "]\n", + "\n", + "# Plotting parameters\n", + "parallel = False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Generate predicted posteriors\n", + "\n", + "Now, we'll run the code to obtain the results that will be displayed in Figure 1." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "HBox(children=(HTML(value=''), FloatProgress(value=0.0), HTML(value='')))", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "9535e57e62374461ae504750da8ed726" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": "HBox(children=(HTML(value=''), FloatProgress(value=0.0), HTML(value='')))", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "4211c2927cdb453bb9517af666019575" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": "HBox(children=(HTML(value=''), FloatProgress(value=0.0), HTML(value='')))", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "dfeabd9e37044ecb847856b8d719bb06" + } + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n" + ] + } + ], + "source": [ + "# This is the code that actually generates data and predictions.\n", + "for algo in algos:\n", + " algo['predicted_posterior'] = estimate_posterior_newUF(algo, n, mean, var, num_trials, X_eval, parallel = parallel)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Create Figure 1" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "", + "image/svg+xml": "\n\n\n\n \n \n \n \n 2021-05-05T21:35:56.935878\n image/svg+xml\n \n \n Matplotlib v3.3.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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+ }, + "metadata": {} + } + ], + "source": [ + "plot_fig1(algos, num_plotted_trials, X_eval, n, mean, var)" + ] + }, + { + "source": [ + "## Generate honest forest (UncertaintyForest) and RandomForest runtimes" + ], + "cell_type": "markdown", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "100\n", + "261 ms ± 25.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "36.1 ms ± 4.19 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "188 ms ± 8.21 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "47.5 ms ± 7.29 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "1000\n", + "470 ms ± 76.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "61.3 ms ± 6.76 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "499 ms ± 73.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "89.8 ms ± 5.35 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "10000\n", + "4.15 s ± 258 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "132 ms ± 24 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "5.1 s ± 149 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n", + "178 ms ± 7.53 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + ] + } + ], + "source": [ + "# https://nbviewer.jupyter.org/github/rflperry/ProgLearn/blob/UF/benchmarks/uf_experiments/cc18/profile_speeds.ipynb\n", + "\n", + "uf = UncertaintyForest(\n", + " n_estimators=100,\n", + " tree_construction_proportion=0.63,\n", + " n_jobs=4\n", + " )\n", + "\n", + "rf = RandomForestClassifier(n_estimators=100, n_jobs=4)\n", + "\n", + "results = []\n", + "\n", + "\n", + "for n in [100, 1000, 10000]:\n", + " print(n)\n", + " n_list = []\n", + " d = 50\n", + " X = np.random.normal(0, 1, (n, d))\n", + " y = np.random.binomial(1, 0.5, n)\n", + " \n", + " # RF fit, predict\n", + " time = %timeit -n 1 -o rf.fit(X, y)\n", + " n_list.append(np.mean(time.timings))\n", + " time = %timeit -n 1 -o rf.predict_proba(X)\n", + " n_list.append(np.mean(time.timings))\n", + " \n", + " # UF fit, predict\n", + " time = %timeit -n 1 -o uf.fit(X, y)\n", + " n_list.append(np.mean(time.timings))\n", + " time = %timeit -n 1 -o uf.predict_proba(X)\n", + " n_list.append(np.mean(time.timings))\n", + "\n", + " results.append(n_list)\n", + "\n" + ] + }, + { + "source": [ + "## Create Runtimes Figure" + ], + "cell_type": "markdown", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "", + "image/svg+xml": "\n\n\n\n \n \n \n \n 2021-05-05T21:37:18.876853\n image/svg+xml\n \n \n Matplotlib v3.3.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n" + }, + "metadata": {} + } + ], + "source": [ + "sns.set_context(\"paper\", font_scale=1.5) \n", + "\n", + "\n", + "ns = [100, 1000, 10000]\n", + "columns = [\n", + " 'RF fit',\n", + " 'RF predict',\n", + " 'UF fit',\n", + " 'UF predict',\n", + "]\n", + "means = np.asarray(results)\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 6), facecolor='white', sharey=True, sharex=True)\n", + "\n", + "for col, label in enumerate(columns):\n", + " if 'fit' in label:\n", + " ax1.plot(ns, means[:, col], label=label)\n", + "\n", + "ax1.legend()\n", + "ax1.set_xscale('log')\n", + "ax1.set_yscale('log')\n", + "ax1.set_title('Fit walltimes (100 trees)')\n", + "ax1.set_ylabel('Seconds')\n", + "ax1.set_xlabel('Sample size')\n", + "\n", + "for col, label in enumerate(columns):\n", + " if 'predict' in label:\n", + " ax2.plot(ns, means[:, col], label=label)\n", + "\n", + "ax2.legend(loc='upper left')\n", + "ax2.set_xscale('log')\n", + "ax2.set_xscale('log')\n", + "ax2.set_title('Predict walltimes (100 trees)')\n", + "ax2.set_xlabel('Sample size')\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "name": "pythonjvsc74a57bd011ddca5089527d17826da45cd024a0d3d3b64d2c1b5dbf54dd1c238d51a17f38", + "display_name": "Python 3.8.2 ('uf': venv)" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.2" + }, + "metadata": { + "interpreter": { + "hash": "11ddca5089527d17826da45cd024a0d3d3b64d2c1b5dbf54dd1c238d51a17f38" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file diff --git a/docs/tutorials/label_shuffle_exp.ipynb b/docs/tutorials/label_shuffle_exp.ipynb deleted file mode 100644 index 4614fae8ad..0000000000 --- a/docs/tutorials/label_shuffle_exp.ipynb +++ /dev/null @@ -1,240 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Label Shuffle Experiment\n", - "\n", - "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", - "\n", - "Here, a representation ensembling algorithm based on decision forests (Lifelong Forest) demonstrate forward and backward knowledge transfer of tasks on the CIFAR100 dataset with the labels shuffled. The experiment reproduces the benchmarking adversarial experiment ran in the paper \"A General Approach to Progressive Learning\" by Vogelstein, et al (2020). The following is a link to the aforementioned paper: https://arxiv.org/pdf/2004.12908.pdf \n", - "\n", - "### Import necessary packages and modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From /home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/tensorflow_core/__init__.py:1473: The name tf.estimator.inputs is deprecated. Please use tf.compat.v1.estimator.inputs instead.\n", - "\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "import keras\n", - "from joblib import Parallel, delayed\n", - "from itertools import product" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load CIFAR100 data \n", - "We load the CIFAR100 dataset from Keras, and store it in a variable. The training and test partitions are concatenated into one variable called `data_x`. The data is obtained from https://keras.io/api/datasets/cifar100/ .\n", - "\n", - "The label shuffle experiment randomly permutes the class labels within each task from task 2 to 10, rendering each of these tasks adversarial with regard to the first task. We show through this experiment that L2F are invariant to class lable shuffling, and both demonstrate transfer. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", - "data_x = np.concatenate([X_train, X_test])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define hyperparameters for the model and preprocess data\n", - "Running the cells below will define the hyperparameters the experimental setting \n", - "\n", - "`num_points_per_task`: The number of points per task \n", - "\n", - "`shifts`: The number of data ways to split the data into train and test" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "num_points_per_task = 500\n", - "\n", - "shifts = 2 \n", - "\n", - "num_slots = int(5000 // num_points_per_task)\n", - "slot_fold = range(int(5000 // num_points_per_task))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This cell will preprocess the data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Reshape the data \n", - "data_x = data_x.reshape((data_x.shape[0], data_x.shape[1] * data_x.shape[2] * data_x.shape[3]))\n", - "data_y = np.concatenate([y_train, y_test])\n", - "data_y = data_y[:, 0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Train the model and perform validation\n", - "\n", - "#### run_parallel_exp: \n", - "Wrapper method for the `LF_experiment` function which declares and trains the model, and performs validation with respect to the test data to compute the error of the model at a particular iteration\n", - "\n", - "`ntree`: Number of trees for Uncertainty Forest" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "Bad key \"text.kerning_factor\" on line 4 in\n", - "/home/ubuntu/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle.\n", - "You probably need to get an updated matplotlibrc file from\n", - "https://github.com/matplotlib/matplotlib/blob/v3.1.3/matplotlibrc.template\n", - "or from the matplotlib source distribution\n", - "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 32 concurrent workers.\n", - "[Parallel(n_jobs=-1)]: Done 2 out of 10 | elapsed: 2.8min remaining: 11.3min\n", - "[Parallel(n_jobs=-1)]: Done 10 out of 10 | elapsed: 2.9min finished\n" - ] - } - ], - "source": [ - "from functions.label_shuffle_functions import run_parallel_exp\n", - "\n", - "n_trees=[10] # Number of trees in UF\n", - "\n", - "shift_fold = range(1,shifts,1) # Number of shifts\n", - "iterable = product(n_trees,shift_fold,slot_fold)\n", - "\n", - "df_list = Parallel(n_jobs=-1,verbose=1)(\n", - " delayed(run_parallel_exp)(\n", - " data_x, data_y, ntree, num_points_per_task, slot=slot, shift=shift\n", - " ) for ntree,shift,slot in iterable\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Function to calculate backward transfer efficiency\n", - "\n", - "The backward transfer efficiency of $f_n$ for task $t$ given $n$ samples is \n", - "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{ 1$. Intuitively, this means that the progressive learner has used data associated with new tasks to improve performance on previous tasks. \n", - "\n", - "#### calc_bte:\n", - "Function used to calculate bte across tasks, averaged across all shifts and folds" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "from functions.label_shuffle_functions import calc_bte\n", - "\n", - "btes = calc_bte(df_list, num_slots, shifts)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting the backward transfer efficiency\n", - "Run cell to generate plot of backward transfer efficiency of the Lifelong Classification Forest algorithm. We see that we achieve backwards transfer overall that increases as more tasks are seen.\n", - "\n", - "#### plot_bte:\n", - "Function used to plot bte across tasks" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from functions.label_shuffle_functions import plot_bte\n", - "\n", - "plot_bte(btes)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/docs/tutorials/random_class_exp.ipynb b/docs/tutorials/random_class_exp.ipynb deleted file mode 100644 index cffa88f9d4..0000000000 --- a/docs/tutorials/random_class_exp.ipynb +++ /dev/null @@ -1,214 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Import the packages for experiment\n", - "import warnings\n", - "\n", - "warnings.simplefilter(\"ignore\")\n", - "\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "import random\n", - "import keras\n", - "\n", - "from itertools import product\n", - "from joblib import Parallel, delayed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Random Classification Experiment\n", - "\n", - "This experiment will use images from the **CIFAR 100** database (https://www.cs.toronto.edu/~kriz/cifar.html) and showcase the classification efficiency of algorithms in the **ProgLearn** project (https://github.com/neurodata/ProgLearn)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Progressive Learning\n", - "\n", - "The **ProgLearn** project aims to improve program performance on sequentially learned tasks, proposing a lifelong learning approach.\n", - "\n", - "It contains two different algorithms: **Lifelong Learning Forests** (**L2F**) and **Lifelong Learning Network** (**L2N**). **L2F** uses Uncertainy Forest as transformers, while **L2N** uses deep networks. These two algorithms achieve both forward knowledge transfer and backward knowledge transfer, and this experiment is designed to cover the **L2F** model." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Choosing hyperparameters\n", - "\n", - "The hyperparameters here are used for determining how the experiment will run." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "### MAIN HYPERPARAMS ###\n", - "num_points_per_task = 500\n", - "shift_num = 6\n", - "task_num = 20\n", - "tree_num = 10\n", - "########################" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Loading datasets\n", - "\n", - "The CIFAR 100 database contains 100 classes of 600 images, each separating into 500 training images and 100 testing images." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# load image datasets from the CIFAR-100 database\n", - "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", - "\n", - "# modify data shapes for specific model\n", - "data_x = np.concatenate([X_train, X_test])\n", - "data_x = data_x.reshape(\n", - " (data_x.shape[0], data_x.shape[1] * data_x.shape[2] * data_x.shape[3])\n", - ")\n", - "data_y = np.concatenate([y_train, y_test])\n", - "data_y = data_y[:, 0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running experiment\n", - "\n", - "The following codes will run multiple experiments in parallel. For each experiment, we have task_num number of tasks. For each task, we randomly select 10 classes of the classes to train on. As we will observe below, each task increases Backwards Transfer Efficiency (BTE) with respect to Task 1 (Task 1 being the first task corresponding to 10 randomly selected classes)." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n", - "[Parallel(n_jobs=-1)]: Done 42 tasks | elapsed: 54.6min\n", - "[Parallel(n_jobs=-1)]: Done 60 out of 60 | elapsed: 73.8min finished\n" - ] - } - ], - "source": [ - "from functions.random_class_functions import run_parallel_exp\n", - "\n", - "slot_num = int(5000/num_points_per_task)\n", - "slot_fold = range(slot_num)\n", - "shift_fold = range(1, shift_num + 1, 1)\n", - "\n", - "# run the L2F model\n", - "n_trees = [tree_num]\n", - "iterable = product(n_trees, shift_fold, slot_fold)\n", - "df_results = Parallel(n_jobs=-1, verbose=1)(\n", - " delayed(run_parallel_exp)(\n", - " data_x, data_y, ntree, num_points_per_task, task_num, slot=slot, shift=shift\n", - " )\n", - " for ntree, shift, slot in iterable\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plotting backward transfer efficiency\n", - "\n", - "Backward transfer efficiency (BTE) measures the relative effect of future task data on the performance on a certain task.\n", - "\n", - "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from functions.random_class_functions import plot_bte\n", - " \n", - "plot_bte(bte, fontsize, ticksize)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/rotation_cifar.ipynb b/docs/tutorials/rotation_cifar.ipynb deleted file mode 100644 index c66b8b2102..0000000000 --- a/docs/tutorials/rotation_cifar.ipynb +++ /dev/null @@ -1,206 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Rotation CIFAR Experiment\n", - "\n", - "This experiment will use images from the **CIFAR-100** database (https://www.cs.toronto.edu/~kriz/cifar.html) and showcase the backward transfer efficiency of algorithms in the **ProgLearn** project (https://github.com/neurodata/ProgLearn) as the images are rotated." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Import necessary packages\n", - "import numpy as np\n", - "import keras\n", - "from multiprocessing import Pool\n", - "from functools import partial" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Create array to store errors\n", - "errors_array = []" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Loads and reshapes data sets\n", - "(X_train, y_train), (X_test, y_test) = keras.datasets.cifar100.load_data()\n", - "\n", - "# Joins the training and testing arrays into one\n", - "data_x = np.concatenate([X_train, X_test]) \n", - "data_y = np.concatenate([y_train, y_test]) \n", - "data_y = data_y[:, 0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Hyperparameters\n", - "\n", - "Hyperparameters determine how the model will run. \n", - "\n", - "`granularity` refers to the amount by which the angle will be increased each time. Setting this value at 1 will cause the algorithm to test every whole number rotation angle between 0 and 180 degrees.\n", - "\n", - "`reps` refers to the number of repetitions tested for each angle of rotation. For each repetition, the data is randomly resampled.\n", - "\n", - "`max_depth` refers to the maximum depth of each tree in the Lifelong Classification Forest. If this value is not specified, LifelongClassificationForest defaults to a max tree depth of 30." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "### MAIN HYPERPARAMS ###\n", - "granularity = 2\n", - "reps = 4\n", - "max_depth = 30\n", - "########################" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Algorithms\n", - "\n", - "The progressive-learning repo contains two main algorithms, **Lifelong Learning Forests** (L2F) and **Lifelong Learning Network** (L2N), within `forest.py` and `network.py`, respectively. The main difference is that L2F uses random forests while L2N uses deep neural networks. Both algorithms, unlike LwF, EWC, Online_EWC, and SI, have been shown to achieve both forward and backward knowledge transfer. \n", - "\n", - "For the purposes of this experiment, the L2F algorithm will be used." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment\n", - "\n", - "If the chosen algorithm is trained on both straight up-and-down CIFAR images and rotated CIFAR images, rather than just straight up-and-down CIFAR images, will it perform better (achieve a higher backward transfer efficiency) when tested on straight up-and-down CIFAR images? How does the angle at which training images are rotated affect these results?\n", - "\n", - "At a rotation angle of 0 degrees, the rotated images simply provide additional straight up-and-down CIFAR training data, so the backward transfer efficiency at this angle show whether or not the chosen algorithm can even achieve backward knowledge transfer. As the angle of rotation increases, the rotated images become less and less similar to the original dataset, so the backward transfer efficiency should logically decrease, while still being above 1." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# L2F\n", - "from functions.rotation_cifar_functions import LF_experiment\n", - "\n", - "# Generate set of angles to test for BTE\n", - "angles = np.arange(0, 181, granularity)\n", - "\n", - "# Parallel processing\n", - "with Pool(8) as p:\n", - " # Multiple sets of errors for each set of angles are appended to a larger array containing errors for all angles\n", - " # Calling LF_experiment will run the experiment at a new angle of rotation\n", - " errors_array.append(\n", - " p.map(partial(LF_experiment, data_x=data_x, data_y=data_y, granularity=granularity, max_depth=max_depth, reps=reps, ntrees=16, acorn=1), angles)\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Rotation CIFAR Plot\n", - "\n", - "This section takes the results of the experiment and plots the backward transfer efficiency against the angle of rotation for the images in **CIFAR-100**.\n", - "\n", - "## Expected Results\n", - "\n", - "If done correctly, the plot should show that Backward Transfer Efficiency (BTE) is greater than 1 regardless of rotation, but the BTE should decrease as the angle of rotation is increased. The more the number of reps and the finer the granularity, the smoother this downward sloping curve should look." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Calculate BTE for each angle of rotation\n", - "bte = []\n", - "for angle in angles:\n", - " orig_error, transfer_error = errors_array[0][int(angle/granularity)] # (angle/granularity) gives the index of the errors for that angle\n", - " bte.append(orig_error / transfer_error) # (original error/transfer error) gives the BTE" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot angle of rotation vs. BTE\n", - "from functions.rotation_cifar_functions import plot_bte\n", - "plot_bte(bte, angles)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## FAQs\n", - "\n", - "### Why am I getting an \"out of memory\" error?\n", - "`Pool(8)` in the previous cell allows for parallel processing, so the number within the parenthesis should be, at max, the number of cores in the device on which this notebook is being run. Even if a warning is produced, the results of the experimented should not be affected.\n", - "\n", - "### Why is this taking so long to run? How can I speed it up to see if I am getting the expected outputs?\n", - "Decreasing the value of `reps`, decreasing the value of `max_depth`, or increasing the value of `granularity` will all decrease runtime at the cost of noisier results." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/spiral_exp.ipynb b/docs/tutorials/spiral_exp.ipynb deleted file mode 100644 index ee0aa5eaf3..0000000000 --- a/docs/tutorials/spiral_exp.ipynb +++ /dev/null @@ -1,257 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Spiral Experiment\n", - "\n", - "The progressive learning package utilizes representation ensembling algorithms to sequentially learn a representation for each task and ensemble both old and new representations for all future decisions. \n", - "\n", - "Here, a specific arrangement of data is used to test the effectiveness of progressive learning forests on this arrangement of data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are a few simple steps we'll take to implement this experiment." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Function Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we'll import the necessary packages and modules. The functions for this experiment in particular are stored in `functions/spiral_exp_functions.py`" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "import functions.spiral_exp_functions as fn\n", - "from proglearn.sims import generate_spirals" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Data Creation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we'll create our data. The data we're testing in this tutorial is sprial data. Which, as you'd expect, has clusters of points that are shaped in spirals. We denote an n-spiral as a spiral with n spokes." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "spiral3, y_spiral3 = generate_spirals(750, 3, noise=0.8)\n", - "spiral5, y_spiral5 = generate_spirals(750, 5, noise=0.4)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's visualize our data before doing any learning. The `plot_spirals` function is perfect for doing this." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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Mc64AumyOzQP+PRWTCPqTjcBFSPZPIXXA8sAvp2IeCkUlUa0zFIrqcjEjFxXM+84DDgVuR36r9cAgsAi4yJXIvTbRk6e9+v7AWYixOg/4E3CZK5Hrn+jYCoVCoVBMEUngDuAgZP3UkLWyHzgoEvNMlfT/1oDduWYBhwPRKZqLQlERVGRRoagSaa+uI0qndmwBPIzUWlwFPAN0ALu5ErlzK3D+U83xNgeagdWBc4B/pL26ujYoFAqFYkZgGoM+4EDgbuBpxBm7XiTmmZKookKxuKIiiwpF9TCw90Dmjw+6Erl3gVMqeeK0V18GOB9RiiukCfGM7g3cX8lzKhQKhUIxWZgG40PmrVo8j335SA9w8xTORaGoCCp6oFBUCVciNwj8A0ktLWYQeMCVyOUm6fR7I+k5VswGjpik8yoUCoVCsVgSiXkWAacD3UWH+hHRumvzdwT9yZWD/uTPg/7kz5RSqmI6oyKLioqR9uprACHAg1wYbwJirkTu62rOa5rza2AnJA1UN+/LIYX6p03ieeux936C1FYoFAqFQqEYA5GY56qgP/kFkr2zLtAH3AoEIzHPt2bfxUuA4xBlcwOoC/qTMeCMKayvVCjKQkUWFRUh7dU3BF4FjgZWBdYAgsAraa++XBWnNq1xJXL/Q/op3gLMBxYgi8pm5rHJ4nHsnUULgXsm8dwKhUKhUCy2RGKeOyIxz3qIwvmsSMzjjcQ8n5uHf4WoojYimTxzzH+fBBxVjfkqFKXQDEM5MBQTJ+3Vn0aa4hZHq/qAK12JnH+c4y4L7IUYNo+5ErnMhCaq+I60V08ABzNcjbUfyAAbuhK5nmrMS6FQKBSKxREzqvgJ4LB5SGck5llj6makUIyOiiwqJowplrIl1mmN9cDPxjluCPgYuBrpofR22qtfPdlKnWmvrqW9+vfSXn0n87UtrvwCuBSJZnYBvYj8+DbKUFQoFAqFouLMAlYocbwl6E+qvbliWqEii4oJk/bqqwJvU7rO7XMgAVzoSuS+KWPMg8zHNxcd6jbHOG88cy3jvFshaaArIrUEDUAcOHlx7T2Y9ur1iJfza1cit6Da81EoFAqFYnHENAQXYr9fmh+JeeZO4ZQUilFR3gtFJfgU+GaUx6wInAy8mPbqS5Ux5tmMNBRBUiZPS3v1ioszpb16C/AosKZ57rlIHcGRwOWVPt90IO3VG4EzgZeAb9Je/Z20V/952quXEr9RKBQKhUIxRiIxzyDiCO+1OLyIArVUhWK6oIxFxYQxW0CEGCkVXUwDIn5zXDnDjjLOZIjmnIKkzRbTBPw87dWXn4RzVo20V9eBhxFF1uWR68HawJXApERuFQqFQqFYwjkd+B8SYcyzEHgdOKsqM1IoSqCMRUVFcCVyNyKRw68obTTOArxlDPlViWM1iHJopdkNa2MRxAu46SScs5rsDWzCyHSYZuDUtFdfacpnpFAoFArFYkwk5lkAbIGox98F3IHsi7aNxDyjOd3HjDMeqnfGQ6odlmLcqJpFxTCC/uQcxIBYCLwy1n4/ZnroQUgqxWybh73nSuTWHmWc3wK/YaQh0wfc6UrkDh/LvMoh7dX/Cexoc3gBsIcrkXu+0uetFmmv/hfgpzaH+4GLgTNciZy6SCgUCoVCMYNwxkMbIiJ2uyAChK8Bp2Z84cerOC3FDEQZiwrgu6LrC5A+P30Yhl5DrmulgTdP9F/+m9uLH2/WuuVbZfzLlch1FxxrAL5AegcV0wdc4UrkTi01H3OMh5FoXt7oXIjUR27rSuTmjfU1jkbaqx8OXIN1reSngNNMuV0sSHv1W4FDSzykF3gO2FupoyoUCsXigTMeqgF+iESzZiMq2H/J+MJK4GwxwRkPrQe8iHy+hRoEPcCPMr7ww1WZmGJGotJQFXnORRrFzgLmommzB7Xalb6oXfevzx697htpr75h/oFpr96GGIN3A3cCn6e9+in5465Erhf4LSPTUQ3kQvWH0SZjjvEDJPJ1O3AvcDzwvckwFE2eR2oGCuc9gLSVaF2cDEWTOxleM1FMA7A1EmFUKBQKxQzHGQ/pwD3IunoIsA8QBdLOeGj1Kk5txuKMh1qc8dAlznjoOWc8dLczHtrDGQ9VWyTuXMTxXTyPWcAfp346ipmMiiwqCPqTzUhri6biY5qRY62+p/hBd+xbwA1sA9xk8dhuoM2VyP0lf0faq/8SEUqZDejAC8AxrkTurUl5IeMk7dXXAG4DNkYin03At4jC6xNA1JXIpas0vUkj7dXrEBVUF2IY2tENLGsa8AqFQqGYoTjjoV8iDtviDJoc8FTGF/7B1M9q5uKMh3YG7gfqEM0DA1kzbwKOz/jCVdlkO+Oh+Vhnd4FkDa2W8YW/mMIpKWYwFW8/oJiRrI9E0EZgaDrZ2o1AjIkTgQOwMCrN+85Le/Wb8zVurkTumrRXvx5YBehyJXKlRGsmFdPLtx2wKyJPfUfGF34/7dVnI6mWyyMGbb5GcjbwoiuRO6Ya850KXIlcf9qr74BEDku9Tg1YFknFVSgUCsXM5WSsSy10YBtnPOTI+MJZuyc746FNAR/SWP4x4JaML9w1kQmZBtdZiF7CV0irqqsyvnDfRMadbJzxUC0iTlP4fmrm3z8D/gpMx/pADTFqFYqyUMaiAkRZ1Pa7UCdZmY3dNXUHzxrsX7tEboUTMba+S+N0JXI54KNKTXQ8OOOh2cADwPcRo7YfOMcZD/3pUXhPG4p8FtII7JL26hu4Erk3p3bGU4crkZsP/DLt1XdH+ktaYQCTlfqrUCgUijFgGmynA5sDWeAy4M4yo1grlDjWjzhORxiLpsP1YuBYxHmsAx7gPGc8tF3GF353TC9iaNyfAVcz5IReFtFP+JEzHtoz4wtbOrKnCTtjn5XThLQJq5ax+DeglZF7G4D/ZXzhL6d4PooZjKpZVBCJed4GPrQ6phuL2KD3AQA+aF5uzd6akv6FHNaNZqvN5ciiOhv5zjcgRu0JnzbOPQprLyuIkbTDlMyw+lyE1GYW0wNc50rkprWHV6FQKJYEnPHQQcDTwMHAOsgalQDiZdbJvYp9VKkW+MDm2A+BNsQIyhsgsxHj8s4yzjsCs53DVYzMVmoCtgT2H8+4U8hy2L+XGuCYwrkUczaiSVCstdCN6FMoFGWjIouKPEdgGI9rDMwxtDoAao1FLJPrZL3eh+ipqSW5yiY1G3z7CXt99jp1xgitlwHgDjOSOG1wxkNLIYqfjRaHm9OzV1p7lUXfGowsAgcxfpcUdbhrkcX5cKT2ogYxFJ9DPNgKhUKhqCLOeKgJMQyLjatmpGVVAqmzzwvZ/Bgx8JYDHkGETc5HSjKKx+gBrs/4wnaiZ6dg7VitAdZ1xkMbZHzhsWbh7Iass1bMBo5C+hBOV/6DrJdW9AL/nMK5DCPjC7/njIe2ACJIBFgHngGCGV/4uWrNSzEzUZFFBQCRmOclNO17S+c+SS6V+8RYbuBdtu6+Hs+C/yOnDQ6+37wCj6zo5vq1duKLhjksKogwGrLIZIGS7TCqxCpIao0lf1t103pGqrbm0ZHC9cUeVyI36ErkfoE0Cv4d8Htgd6S35KJqzk2hUCgUgET37IyrJqTJe95QvBuII9fxTZFaxRQSbToRWfcWmH8vQtIWTytx7lJKqf3IWjtWrJy4hdhl/UwLMr7w24hBaLVG9gNXTu2MhpPxhd/J+MIHItlUtRlfeCdlKCrGg4osKr4jEvN8AOyX9uqbA2cC2wLzr19jp1XudG7ePFCjM79mFsds7mXv7Gvs/lkKncFc3WDu8jW6553vSuS+reoLsOZT7D1/vDp3tfeBV4CfMLQw5Vt8HOdK5JaUyCIArkQuhWwoFAqFQjG9WAp7J7+GRBABDkPE3AqNrXrzdhuSvvpXxPhsAp7O+MLvj3LuV4H1bM7fAIxHMfwZ7Gv+upGWWdOdg5H39AdINLEGMcAPzPjCn1RzYnmqpciqWHxQrTMUo+KMh/4J7GhzuAdYaTo383XGQ7ciKq7Fi1IX0PbYk9FbkAv+KYh39BUg7ErklAdOoVAoFNMCs9H6fxhS7S6kDzg94wtf6oyHnkFSTa1YCOyQ8YVfHeO5NwOeYmT6ai/waMYX3ncs4xWMew3ST7lw3BwiqrZexhf+ZjzjTjXOeGgtRETvC+DZjC+8uPVlVizBqMii4jvSXn0VYD/E+/iYK5F7wzx0PlI3YFXjcPN0NhRN2hCP6NpIHUQOSRG5EbjFbPXxV/OmqBBBf3IjYF8kUpuMxDwqYqlQKBTjJOML/88ZD/0ba+dtPUMpqstZHM+TA5YZx7lfdsZDbcA1iEZBnTnWa4ixN16OQ9pl/AoRY6kH/gV4Z4qhCFIjCLxX7XkoFJOBiiwqAEh79XMQIZMckkZhAA8Ch7oSuT5nPHQKcCGySOSV0B4DDsr4wtO+ps0ZD9UAe5i3buCvGV/49erOavEk6E/WAn9BHA91yHcphyjmeSMxz7QSQVIoFIqZgjMeugvJlLESZfsCWBloB47EOiDQC6ya8YXH1Q7JFI37EbA08FzGF35xPONYjDsLaAG+yvjCn1diTEX1CPqT+dYqhyH7gNuBuyMxj1JWn4EoY1FB2qsfjBTCFxeT9wBXuxK5UwGc8dByiAHQBDyZ8YXfQKEoIuhPngH8HyMj0d3A2ZGY5+IxjKUjBv7GSP3p3ZGYZ0INoBUKhWKm4oyH5iG9CK3oQhrb68DL2GcDHTNpE1yMcMZDmwNhYBck6nk/kur7djXnlSfoT2qAFol5plXKa9CfnIWo734PyeYCSX/+ANghEvNMR30LRQmUsagg7dVfRX7UVnQByytFTEU5mIvXl9hsZmqNni7vN4fdDTwP3FRKFCnoT66BRK+XR1TzehFv+kGRmOeBCk9doVAopj3OeOgTJHpoxSJgnYwv/LEzHtoVuAUxGAeRmv3bgF9mfOFJje5k3dF8Js/GiFL63Y5UYEY5+Zzx0DbAo0h9aD6KO4goyG6R8YXfqdbcgv7kmkhLjB8hjoGXgGAk5nmiWnMqJOhPnoco6xar3fYCN0ViHuWsmGGo1hkKkFo+Swah5lbnlptO5WQUM5pGYK7dwQEamwepOQLx1namvbrld8s0Oh9C5NrnIGkss5Ho951Bf9JZ6YkrFArFDOBGZNNtRTrjC38MkPGFH0ME2/ZG+ueukfGFvVNgKK4BvIOkHV4AXAV8lnVH95rM81aadT/Xrz3jgeamW/88V7vytqX4QboeDGqQdei8as3LXPv+jfTQzPdE3hK4P+hP7l2teRVxHNZtURqAI8xSFcUMQn1gCoDPgLWsDgxo+qybWrZ79Jp46D3gqIwv/MLUTk0xw1iERKOXsjpYbyykhkEYSnn+e9qrO12JXHEd4w6I91xnJDpwLNLeRaFQKJYkIkgdmIMhhe8ccu0dFrExFTmfmaqJZd3RQidf/tqdb111Z9YdXc+RCmSmaj7j5eVtwgf8uXvuRnU5qDU0mAcbfVrLruv08tt9u3Q09qvi9M5AHKjFa2MTcEXQn1w7EvNUO2Vw6RLHapD1X6WiziBUZFEBEMOiMX2/VsPTy69LT239LGBD4FFTuluhsMRcpK5AamOGoRuL2LD3vuK7m5H+VMWsh7WAA8gG6fsTmKZCoVDMSDK+8FfAZsAlwMeIqM1twJbFztysO9qQdUcPzbqjZ2bd0SOy7mhxDWOlGc3J1zbJ558wWXe0duX5NX+eNaCJoWjS1K+x8zv1bPtBHVR373wg9r2jHYhIULUp1bNzgXlTzCBUZHEJJu3VNwIuBnZHLn45A2o00Lpr6vi8cSkuXXePwqc0Il6tn0/9bEdiKpweB/wauUh+iKS93FiqCa0zHqoDBhbnRrVpr+4EvEjz5VeBG1yJ3FdTdPpzkLSYbYEmDEOrZRGOgRSbLrqj+LEasKrFGB8h9SFW9CNpTgqFQrHEYRqMZ5g3S7Lu6KbAw0grimYk4+OKrDu6ryMVeLrosUsDPkTAbj7wZyDpSAXGKpwympNvkzGOVw120dCsjF2a+ms48JUG/rVm/0NTPakC7N5fEOXxUscBcMZDHuB3gBv4GkkVvriCyvbnAlcyUjSxC7gcODroT84Gno7EPBVR01VMLspYXEIxDcV/IT/m/MVFBwaeW2ZN/rHy92qfWX4dBrVhDrRapGi9YjjjoQakxu2rjC88MMan34wsbvkLkguJam0KnFJ0Hg0xLM9APJ+9zngoDTwO/DnjC/93vK9hupH26oci6rY1yALdDZyb9ur7uBK5pyb7/JGYpzfoT+6JeJl/tHr/izt8r/euzVYaeLPOYhXTgP9ZDPMIMu85FscGgKsrN2OFQqGY/jjjodnANojD7F929YdZd7QBMRQL+y3mr6V/z7qjqzlSgW/Nx66JCI41M6SeuhvwdNYd3c+RCoxlXV4cnHwle1Au212To4SRPgXcgxj2Vvv3LxDFUVuc8dAJSCpz/rOehaiX7+2Mh3Yexz7MipsQR3UAWa8x5/syQy3a6oD+oD/5MrBvJOZR0cZpjEpDXXKJMtxQBPmjtjnXV/PUCq5iQzHPiPTC8eCMh5ZyxkPXA98AncBXznjoPGc8VJYDwxkPbQnsz0jPVTPQ5oyHimswL0EukKsgr7kRUYA9GfiXMx76o2lQzmjSXn1VxFCcxVA9SxNSlH9f2qtbFZ1XnEjMY0RinqciMc+v9+w6/1DHwJv9Fm/uALKwPW/x/BywD/L9yKvo9SF1OSdHYh4rA1OhUCgWO5zxkOaMh84APgfuAO4FvnDGQz+zecoBSETRihrgpwV//wVRry5MUZ0N7AgcPcap5p18Vgwg/R+nOy9i89711RiDcxdp11e5R/P5SBuKYqO8BzixVL2iMx6ag+z9itORZyH7oR9XYoLm+n8WkhJ7AnASkpG2ObL3amYo4r0VcH0lzquYPJSxuASS9uoaEiG0NI7c8z+pqR207Ju+CEhM9PymQfgksmA1mrc5gB9ZuMrhYKzVtkBe1wEF51sFiSoWG5Z5moCjCp8zUZzxUI0zHlrDGQ/ZSZxPFj7sf9c1iNT2lOJK5DqBnyAL3AJEyW8BUtewlyuRs1zcIjHPy8hiE0AM4DCwQSTmuXYq5q1QKBTThOOA3yCb+rmIgNhSwNXOeGhPi8e7GOpvV0wzkn5I1h1dBal/tEq7bEY2+WXjSAVywL5YO/lOcaQCb41lvGrgSAU+AB6gyDFuYBj1g9rCNb6qPbsqEzOJxDydSJnH3xEDfBB4DTggEvOMEAUoYnckwmvFbODISs0TIBLzfB6JeW6MxDxxRHxplsXDGoD9gv7k8pU8t6KyqDRUxQhqMAY1jEXIjzi/iCxCUkwurcAp9kVSFBqK7m8C9nfGQ+tlfOHRIkf12Ofm6wz3DO6FpD2UohnpC3T3KI8bFWc89FPEezcX0M10119mfOHnJjp2GazNyPc1TyOw2hTMYQSuRO6BtFd3IMbqSsB/gcddiVzJmphIzDMfqae4avJnqVAoFNMLszb/bKydnU3A7xEF0kL6DAxNs1giDQw+njuoO+TPFRBjzs7xupzN/bY4UoGXzPYZRwBbIFoCcdMImzaYmUQbIOvlG0UpvYcjDsoDkL2PrqF9DhzkSAWyUz3XYiIxzzuIgVUL6JGYx66VSjF2wjh57PYOlWAD7PdsvcCaSI9mxTREGYvTGHNz/XPkR/Rf4GZXIjd/ouO6Ejkj7dUfR+oSRvx4NXi+v6b2GKQ1wa6Ihy0OXJrxhSd8fsRgsPN6asCeWNexFfJ3JEXGapw+Ri6e5YjZTFhFzBkPHQ5cw/A0j42BR5zx0LYZX/i1iZ5jFF5F0oCsVO8WMfr7Omm4ErkupEm0QqFQKMpjeUr0rsVaGdpufQXgiXV7f7SFRCvfxd6AMID/lDXDIsx6yCvG89ypwBkP7YGkPi6LROYGnfHQbzO+8J8AHKlAD3BY1h1dGdgIMWJecaQC00oULxLzDDBUE1gO/8Q+PbkLSXGeLD4C7PojNwCflDNI0J9cGnFCLAReNEtWFJOMMhanAWmvvhziwfvQlcgtMu87CGm+m6+v6wIuTHv1PV2JXCV6HQaApxnprewGTs34wm8ArRU4jxV92Kt2DWKfJlHII0AKybMv9Ir2AE9mfOGXC+57kPK+6xNKkTE9wBdjbajNQlRCD5zIOcrgRkSJrBgDubj+Y5LPr1AoFIrK0UVphcuFFvfVWUUVQRaCWX01KxwZOst9Q+rcVNYdvRb4BSPXrR6q2Hx+snDGQ1sgIjHFrzfsjId6M77wNfk7HKnAp8CnUzi9SSXjC2ed8dB1SLlK4d6vH/gKEQ2cLP6AlDEV7zkHgH9FYp6PSz056E/qSMbWcUgksgboCfqTP4vEPNVUp10iUDWLVSTt1VdNe/UHkV5JLwFfpr36RWmv3oJs+mcxZAg1I97Ff6S9up1nqGxcidwrwE5I7WAOMdKeAXZ1JXK26ZJmof2RznjoTWc81OWMh952xkNtpqFULrcxVM9QTA2QHG0As9nwbsjFrQcxcruQAvofFz32Y0Q90+6cmM+/cLTzjoIT+2a0NUiUdlIx22PsgzS8XYAsAguQBW9XVyJXCaUzhUKhUEwBGV+4C8mUGXHtXn6h1hu5e/Y7WXf0zaw7+krWHT056442A4931xmWUTAN2CdVX3vhvbNfzrqj1yDKnncimScLkNYZC4E2RyrwjNUYWXd0paw7+tOsO9qadUdnWq3ZuVjXzjUB5znjIcu2GYsRJyP1/98ie6c+JFNrq4wvbOV4qBR3IvvabobKghYi+98jynj+eUifzkZkLzwHWBG4O+hPfq/is1UMQzOsryeKSSbt1WcjkayVGB716kZSBd1Y548vAI50JXITrq0rmEs9gCuRs5ThLsQZD/0REYMp9A51AXdmfOGyiqPNWoH7gZ0Z7t3rAq7M+MLBMqeeH68Ricx+mfGFLXP3zXMej6TWmuUaDCILZA3wfxlfODaW81qcYyVE2dUu7/+LjC+84kTOUS6m6umPEAM2DfxDGYoKhUIx83DGQ6shKp1LYRo6LfNqem74y9yG5j6tX0PLrzndiML0tpm5uQ9XXFAzt35wKMJoYFAUcewBHnGkAvtn3dHVgO3MMR4xUzGHkXVHNSS6cwJDGUD1wEXA76ZbmqYVznjoW+R9tKIbcGd84c4pnFJVMPtNrwjMz/jCU9a2IuhPbgb8DDH4HgbuGq3mMuhPNiNKwFZZW4PAHZGY59BKz1UxhDIWq0Taqx+LpCxaFa3nsFYnAwm//8aVyE3IsBkPznhoXaQmzsor1w1sn/GFXylzrDpE/fRkpCbjA0QS+qaMLzypX0rz3Jsj0uALgbsyvvBnFRr7FaxrSPqAqzK+8CmVOM/ihumw2A3pcfWCK5GbCf24FAqFYkpwxkPLIpGVg4H+5NVLL7vSgpq1NEb0uFoEXNJ26LcPtb4067Ft36/TDaAhR7GhmKcH2NyRCrw52hyy7uhJSAZO8aa9CzjekQrcOMaXNeU446Es4qS3ohdwZnxhJbQyjTANzMexN/I/icQ8q07hlJY4VM1i9TgA+1YOA4jBaJVu2odEiqrBAdgbsQ3IIvZKmWOtifz4rzDTbKaMjC/cDzxn3irNL4HHEIM6v4j3AfOACybhfDOetFffG+hAMqQ0oC7t1R8FDjVFcRQKhWKJJuMLf4UYahdm3dHlEEEQq/KPRuCov5193pnOeOhHc3u0G86/b/bcbTrr7fZ7BpLlU9JYNKOK/4d1dKcZUWyd9sYiUjd3CiMzgAzgP8pQnJZ8Q2kl12+mZhpLLspYrB6lNsF9WP8wDCQN9YFJmdHo1GNvLNZQhuyyMx7aHFHEbEGM4hoztfWMjC8841StzB6OXmAtRLH2JmBr4CxE1bUPeb0XZnzhz6s0zWlL2quvjyiwFW9AdgNuAA6a8kkpFArF9GYOkgZqp18wGyDjC9/vjIdWWv1r/S4DYz8NzU5UrruMczZTupXGmll3VJsBqagXIevKqgxpQvQjEdZjqjWpSuCMh1YEDkFUXl8AHjL1HWY0kZjnvaA/+TaiLF/8He5GtdaadJSxWD1uQIwJK4lrHYnSdZh/z2JIwGV3VyJXLaPqYaQxsFVEtItRlDad8dAawLMMLXB54/IU5DUHKjHJonNuiUT7VgGeAq4rx3No1kHugBjtz2Z84W8tHnMo0lIkr1jbjRRh753xhVX+fHn8GusNTyOwb9qrr+JK5MqS1FYoFIolhAySMmm1FhvA89890BfOZaPRSxAHnNXja4HRmrmDGFP92O8b588AQ5GML/y16bT+FdKEvgER1YtmfOEPqjm3ieCMh44B/oh8/o1Iic0XznjoZaS3dQNS9xrK+MJPVGueE+BnyB6ugaG9YxfS3uUauycpKoOqWawSaa+uI8bV9gyPqnQDflcid03aqzcDP0FESt4Ekq5Erpy2EpOCKRLzMDLnwnYVi5Co2jal6g2d8dBTiAFmRS+wkpVRNl6c8dAFSE1kI6bMMrLY7ZrxhV8q8TwvQxddAzFmLgHOyr8+Zzy0KvA21vWb3wAOO7EdxRBpr/46sKHN4W+BQ1yJnJLFVigUigIe+8GF0TXn6b+eNTA80JLTjF7d0HZ1pALP5u8zU0g7AA/DDcZu4HRHKnB5Oec022z8jJFZRIuAyx2pwJgcvua81kTW53dngrE5HTGN339inSJc3KasGzg04wuPqjo/3Qj6k6sCJyGK7wsQI/GWSMwzqjijYmIoY7GKpL16HdIz5kRE5OU14FxXIvdIVSdWAjPidgmSeglyEeoATi4lu2yKyuSVR60YAHbP+MJPVmieOyDpulae1AzQYpWe4YyH9gTuxrqA/4yML3yZ+bjfIpLjdoq1v8j4wn8d/ytYMkh79YeB3W0OdwE7mG1eFAqFQgE446EGDD7xPde47FHPNZGrMdAM6KuFC/bsWvS4q29Vs8bxO7LuaA3wc+BURBE8BZznSAXK3m9k3dG5SHbQ6gxlRS1EFNx3dqQCZdeYZ93RvZD0wbxC+NfAiY5UoGJK70sKznjoZuAwym+HlwFWn2wxQcXig0pDrSJmlPCP5m1GkPGFFwEnOOOh04AVgHkZX7iceofVRjlei3Vz4fFyAtZeNhDJ5u2RlIZifm/zvGbgt8546HKztnJt7Gs0Gxj99dpi9nlyIcb1B4v5Bf1PwLaMNOoNpDfkq1M+I4VCoZjeHIBGXXzbRdyyxSI2+KyWPt3grZVyDNYwiET/Lit8giMVGETEXRLjPakjFfg2645uhtT8HYLUO94C3ONIBcrOesq6ozsBdzE8M6cJ+EvWHT3YkQr8fbxzHMMcNGB9ZO153ZEKLJrsc04ibsbWN30ZZI/xv8mZjmJxQxmLMxRnPLQZcqHLAE9PdRGzaTR+NIanzEcWFrsLWg7JPa8ULYwshM5jYC+dXaq5axPiBf0USbvtxtqw7GWcF2FnPPQLpGFuA1LH+ZEzHvpFxhe2MmwXB+4DbkdqdJuQzyzfKPggVyK3OBvKCoVCMR7Wxlx7euvgFeewFrpNwAaTdWJHKtAL3GzexstFWJdwNCEtxSbVWMy6ozsguhErIXuPmqw7eiFwYSVTYbPu6Gwk4vc9pAfzTY5UYDKE7t42z1GuwWhgL1aoUIxAGYszDFN9Mwmsh1zkAL5xxkOejC/83+rNrDQZX/hLZzz0PBLRs+KmChu8zyG9FK3EU2YBH9s8bwHD6zEL0c3jIAICVo8zkAjpmBVrzVrJyxhugLqAB5zxUNk9LGcSrkTOSHv1o4C/IEp0KwKPAte4Erkvqjo5hUKhmGKc8ZATOAdxoNUCTyIlEC8DZN3RDS5cb/Zaz6zZ3//Eun36wsYRtk03Y3BWZt3RpYGjzfP1I5HHmycr0mZG9LYq8RBX1h1tcqQC5WQsjef8buBBRjp6/w9xaIcrdJ7NgUeQz3A24gT9fdYd/ZkjFbizEuco4FJExMYum6qYLuCtCs9BsRijahZnEKbATApYh+GGvoGIqrRkfOEFFk/NP38OcChiaL4D3FpJQZnRcMZD6yJG1hyG5j8AvAtsXsl+i854aE3gdawvnoPIxXKPjC/8fNHzLgD8jDQEc8A/Mr7wfqY8dRppEFscvVwEbJrxhcd0IXbGQzVIxHJFi8ODwH0ZX/iAsYypUCgUCnDGQ7XAjxH1y0bgTsRBWcnShwljOoNfQdIE82ukAfSs/G2N575rljkV2M3AMHrqaNIH4Yaterhh6x56h5ptdSF7gXmjnS/rjq6KKGTOZWit7ALeA7ZzpAIVe3+y7qiOGDT7I5oHdpGtAaDZkQpMimhJ1h29GdkHWZ1/AbCCGT2dyDnqkD6Yy1sc7gHWc6QCY8nMGhWzNOg8JLpYjzit859pYcSxGzg64wvfWsnzKxZvxpLjrKg+uyC9gYojwhpycTjC7onOeGh7JGX1UqRdwSVAxhkP/WAyJmpFxhd+G8mtvwh4A/g3omy1aSUNRfNc7wMHYF0HWYMYrPeZ9YGFXIAYgoXz6Qa+AI43/z4WSRO1S3Mdz2tZDes2Kvn57jKOMRUKhWKJxhkPNQBPAH9GjJXdgCjwpjMeWrmKU7Pitww3FEHWmaYTn2y6A5n7LA2tqalfoyGnccy/ZvHYH5fl5Meb+vVBuoADyzEUTa5EtAcKnarNwLpIpK0iZN3RpZD1/mbgaANDN7AMVAwCD0+WoWjyA0qnYK5XgXPsg72mQQ0Sya0oGV/4EiT9+FwkQ+loYCMky2nAvKWB1okais54SHPGQ2uaUfBpT9CfXC/oT14a9Cf/HvQnLwz6ky3VntNMQ6Whziw2xf4C1IwIhYxoTuqMh5qRGoClih4PcK8zHnJOVYQx4wtngTPN22Sf62FnPHQrcBTWjpEGRInzwYLnLHTGQ1sDPwV8iBF+O9Kf8WvzYXtin6rah6TYjNVruIjSC9gS1YbDVM/9MSLUUA/cAdxcppiSLWmvvjMSOV4LqTv9gyuRe3mC01UoFNOX04DNGF4j14xc/68B9qvGpGw4BIt9WXOvxs7v1C9r9QQNjYZBaH2p0Tj4lca71vhvsKxWQ1l3tBnYy+p8yPp2DJUzGC9DDJmG/JwBDIzCf+c0tF7gigqd045SztxKCe2tgfRotqKByhikIzD7RJ5fdPe+znioHqirhFPeGQ8dAsSApYEaZzz0AdCW8YX/OdGxJ4OgP3k0IqRXi3wmuwEnBf3JQyMxz4xrH1ItVGRxZvE59kZDPxI5tOJg7D9rDTh8gvOazqyG/WuvAUZ4ljO+8KKML3x9xhfeIeMLb5XxhaMFhiLAV8XPKWL+WCeZ8YU/Q1KD7ciOdcyZijMemoUo1V6P9AXbE1mc3jBTgMdF2qufDdyPpEFtjAgPPJX26kdOeNIKhWK6chzWYiq1wB7OeGgpi2PVwtJhuOo3NfTrpUuGag2tvnFAOzjrjq5S5rlmI5E8O+aUOU5Jsu5oI3KtHeHo1tAwGESijIM1BoYB/DXrjv4z644uU4nzW3AdkgpqxQeOVOC9CpzjbWRPZsUipERmUjGjfz90xkN/Q9bT3zvjoTUmOOaBQBxYBYlGNyJCi/9wxkNbTHDKFSfoT66GGIqzGDLe65G53xr0JyvyHV8SUMbizOIeSvcpjNscWxP7FMd8ysniyovIxdkKDUlFOsgZD53jjIeOc8ZDlt7bIq7F3vs4iKQ8jYdSogQuZzy03DjHnWmcjii7FX5nmxtzfase8tEL96a9+mlpr7572quXff1Ke/X1zXGbGUof1pFF46q0Vy/nc1coFDOPUkZHDomQTBcewsKAm9c8SH1OK0dgoh/YscxzfUHpKFqlBPOWBuucU0Ez/9M1Da0ZuSZvjdSVTgaXI47ZQoNxAHkvKuU4fNAcz+p1DyKO0EnD1LdoR97D/ZFspxOA153x0M4TGPMSrHUgZjEyojkdOBL7PbOBtIBRlIEyFmcQZjF+K1JDl/da5cy/zzBrAq14D/tFoYvFtNeOMx5aHVmorNJBBhAp67uRWpazEMnujDMe+skoQ9+PLOqFKR35z+GnGV+47H5TRbhLHOuldFuPxYljKYoEbDXvPe589sq6n3/w7NaG1JXeBfwv7dXL7Wf5c+zT7geBA8c9W4VCMZ15o8SxAURYbLpwNrKODGPebKPn20bjdWS+pTCwj5oNw+y7eC7WaZndyJpYCeYx+ryLqQe2ybqjFU/XdKQCXcA2SCnMm8CHiALspo5U4MUKnSOHlLh8gYjmGMj73AX8xJEKTHam0G5Ixlhh/+J6oHl2r3ZHZqPIMVl39OysO3pI1h21Uoy3YnksMrFMNMp3Ukwlq2NfutWIfQs1RRHKWJxhZHzh+xCj4QokgpUAdsj4wrEST/sH1mk4IBexjgpOcVrgjId2Q5Rjj2F4ak8/YjinkMjVSgyl2zQh79NNznhoLbuxzRYfB5tj/wvxUnYAW2d84Yn0h/q6xDF9lOOLE8MiASst+pazU39j1mA/TYP9aLLozUEi5v9Ie3U7oaFCVsC+hqQeUJFFhWLx5BwsDDDzvosn4NyrOBlf+E1gJ2Rd6Udq4N8FWlfoqtkbKUco1dJCR9o1lMvlSLSoB/gWKaFYAJzoSAXG3P7JCkcq0I/sV0Z8BgaD39UsWtDPJDlIHalAtyMV+IMjFXA7UoEWRypwjCMVKFUGMp5zpJAymKMQJ8BJwMqVel9H4VgsIoDbvl/HP65cZnnN4I/mnK4DPsq6oxuWMWYfpW2GafM7KuBF7AMlPcBrUziXGY0SuJmBZHzhdxGRjnK5AIl8WdVD3JTxhb+rsXPGQ/k89K8zvvCM7Ktiqt/dyXCvWh4DUTX9EGkIb3Xx05GLbdDuHKbB2EFlDe0rkcXRat5fAq9W8FzTmbco2CTs98kr6NYtfnSgBUmxed7qAQU8hdTNWKVj95bxfIVCMQPJ+MJ/N9sKXIJEuDTEcRRnGqbOZXzh/wDbOeOhucg852V8YQMfZN1RF5JddCHi4Crcw3UDJ4ylP6HZgP7srDv6B6QHcj/w1CT0WDwLWNvA2B9toEGWYY3Bhq+pWbQ8mrUNogGfVXgeU4qp6npHFU69EkVq7cst1IjcM4dZAxoMCfTNQdbEh7Pu6GpmRNSSjC/8rTMeehERUiy28AeA2yo1+QrSgajvyxduiEFEe2IqDPfFAmUsThJpr96EFAF/4UrkpqyXYTGm4fRTrJvTg+SzH2/2QLwCadFgAJ8446Fgxhe+fUomWln2xr6thY6koNRh7yWrB3ZyxkN6xhe2vXhOAh1I6shODBmMfeatdaYa7+PgbERivQlg3YWfUW+U/BjWZ3Rj73ak2fIsRkaa3wOmpZKbQqGYOBlf+GpnPPQXJDWwHvinqcw9bbFSKHekAj3An7Pu6E2IQ/NEYDlEMOVdxPC7AMkmutCRCrxbzrkcqcC3iGL6pGBGFw/JuqPr9y/91pkDS713yMDSqVxN77KNTWkfDFpuTxYAT0/WnBZz/glsSUEK5v6vNdhtijTEYNwLKbEpxfHIZ1K4jvYhfb5/N/7pliboT+bbh20EfAwkIzHPqArxkZhnYdCf3AX5PcxB9nwGknr+w0jMM5X7uxmNZlh77BXjJO3VGxAP5lFINK8O+QH+0pXIldv7qGKY6pGdlG71sDYSjl+Kkc1bj8/4wjdM6iQrjDMe+iWinmlViA1wLyLlfQ/2im+9SFrOYRlf+PEKzm1VpG3DhxlfuNPiuI7Ip7ch6ZiPAZeZkthLDM546BQkIt7vTz/YuPenr9XXWmskLAB+7ErkHh1tzLRXXxOpUV0XMRLrESPzYFci92Wl5q5QKBRThaka+hJST5Zf5weQNLudHKnAK1Wami1pr74SkumxYtMbJ2ykdzl319Aakf1HDzL/3R2pwAvVnOdMxdxnvEVBJs35983mh2/Zle+xCAg5UoHLyhjbhfQD3Qf5nG4FLpws54vZE/FRYEVkP92HGHw/isQ8T5Y5ho7012xBNDqeicQ8yvgZA8pYrDBpr34fZuPcgrv7kOjF91yJ3JTmdTvjoVok3G5nFL2NKHe1YV3TNQ9wZHzhsRaoVw1nPLQVYmRZpXP2IDUsUeADwIl9FBKkIH2TjC88oXoGU2X1ZsQ71ot4/F5AjNHpJLAwbTAl7ff4Yfa1NYP/e+BcbWTdrYHU8DhdiVwpCfhhpL36hkgtyduuRK4sz7tCoVBMR7LuaBg4hZFCHgbwkiMV2HLKJzVGsu7otsgeZGXgGaDdkQrM6BTUauOMh7ZBynHmAINtT89q9j4/q6ZuUBuRUdVfYyx6ddWBUz0P/t+IPt3VJOhPakAa0ScoLqPqAtaKxDyfT/nElkCUsVhB0l59I8QAsBKTWQj4XInclOevO+OhC4CTGRlp60LklH+PbJ6tWABsn/GFZ0whsCnx/BKSslBsAC8A1sr4wl864yE3IhLUhLVhCRKBui7jCx8/wfn8B2lKXJhvMwB8BKw3nUQWpiNpr348ErGvQd7DLuSz+YErkXulilNTKBSKqpF1Rz8FHDaHe4GWmWR4pb36ckiboyMQA/gR4BxXIpeq6sRmIM54qAapMVzhmGdnZdueaXoMi/3pN7MG2eu4r3sGdB4BDsn4wpWuWS0bZzy0GbAFMO/Hqa0WzhqovwNrrYFFwLmRmOfCKZ3gEopSQ60su2IfpZoN7DuFcykk34y8B/mB5f9/NXAjpRvz1iDptDMGs7ZvL+AVJJV2gXn7DNg94wt/aT4uhUgrX44sqlbUMXFJ6F2QVN/iwoxaRI56/wmOv9jjSuSuRIz/KHADIj7UMh5DMe3V68yaYoVCoZjp2Cmdg6zddo7QaYdpKP4HUzkUEfE5CHgh7dW3rubcZiIZX3gw4ws/k/GF7zn72rOfQwzwnpxm9AJ01xnMbxjkVwfNZ0BnFlLTe3k15uqMh5ZxxkP/QsToYkD8jRU/umcQw05voxHYfMomuISjBG4qyyLsDa9BrOW7S2L2Cvw98BMkDP848H8ZX/iVcscwo1aHOOOhDYA9kYjWvRlf+CPzHDcDp2Hdj+YbpBfRjCLjC38ObOWMhzZBjIxPgSeKBWsyvvAiZzx0OxJhtUvoLyvNwRkPzQH6Lbxy22JfPzkH2JnJa0C82GCmjJ453uenvXoLcCnitKlJe/X3gNNdidzdlZmhQqFQTDn/BDxYO6q7EM2CmcLpSG1a4Vpcgxi817Lk9Boum6w7+j1EvG03ZJ95P/AbRyowou+2IxW4K+uOttywVc9Ts/q19d5ZIceD6/eyaMgcmwX81BkPnWYlsDQRTLHFnyAG3ifALUUlOHcAm1HgVO+q6yVXk6Nm0NJUyYvTKaYAlYZaQdJe3QG8j7WYTBewpyuRe7bc8Zzx0GqIl21phvK1DcTo3D3jCz83oQkPnWc54L+M7EXXDRya8YWTlTjPdMVME30fKX4uZiHgzfjCtsacMx7aH7gYWANZsB8HTsz4wv8zj5+IyDdbeYAHgAsyvvDZE3kNitKYv83XENGgwtqHbuBYVyJ3U1UmplAoFBMg645uiihUFjsku4FTHKnAtVM/q/GR9uqlUmoXAeu4ErmPK3CeTRH1zp2Q9ykORKupXD8esu7oZoizoIkhZ8Egsm/ZwspgBHDGQyPe56V6NDyvN/C9T2r71/u89ubVvtEvdKQC6UrM0xTFyc9zDkO9Qo/L+MIJU43/VYr2SDWDGj9+cysacpYtknuA70diHsvXqKgsKg21grgSuSzSt6mr6FAXIkv9rzEOeQ4wl+GbWw3xsl05zmmOIOMLz0M8OgnkB2ggc34QUdRarDHTVg9GUlUL01EXIn14bCNPznjoYKTlxbqIoV2LePied8ZDeePzDswLeXNfA9t3rsehr23HYf/dnt3f2bhmuw9db1T6NSlG4EcWqeIi+SYglvbqKstCoVDMOBypwH+QyOJ7DJVdfAP8eqYYimmvvmLaq++BfQYOSEqtnar7WM61K2Jc74c44ldBMqteTHv1pSY6/hTzR2Q/WBhVrkHKnsIlnjdMuXTDT2u595qlOe7pWeyebqhzflPzU+CVrDt6wkQnaDrj/4EEI/JCi43m7Uoz421DRAhyGIM1Bk+ukWJAyxVm5vUh+9STlaE4dShjscK4ErnzkLzwfyOtF/4HnAoc5krkxhrG/Qn2qcIbm5HHSvE5ctEZZMgg9QCvOuOhXSt4nmlJxhd+EXAjaYovIhe3I5DIqmVqsVk8fhkjF7h82sxvzLE/BX7T1NfQs9fbm7Dat8ujGzXUoLFi99yaNb5ZMW72AlJMHgdhn2ZcD2w8hXNRKBRVxBkPre6Mh9Yz1cJnPI5U4HFgHWATYHtgRUcqMK2ULa1Ie/WGtFe/AUmVvZ3SxmIXkgE0kfNpSBSxMBIHYrg4kXKUGUHWHW0C7Oo4a5D9mx2XYgY19EGI3TmH2X01zBoQk0BDq0OifNGsO7rBeObnjIdqnPHQCkjLihWxtjfqkPf8U0Y6cgH4snmBcd/6L92PaG/cCvwB2DgS88wIR8jiwmJxoZxuuBK5e5AefhPF8sdjUgu85YyHvBlf+PYKnGsfRGilsBi+zrzd5oyHHJVuUO+Mh/YCzkKMtHmIl+zKaimDZnzhDBAaw1PWQXpTWlELHIA0TibjC1963Om3716Xq92nBq24tqQJiRS7xzJfZzxUBxwJHIdEoJ8EIvn0V8UwRnPUqHx8hWIxI+uO1iHrmgfouX2TRa9ctHvXSWisjZQA9DnjoTMzvvC0N6xGw5EKGEgrrJnEdYhTPB9psqMbqS8vu0WSDesDy9kcmwX4gJLqmqbBuZ75+JQrkRu1OfwkMVqwp9Txm4C9Ac/WH9Q11edshRnrkD3MyVYHzd9XEzDf/P7lI4knIfoCsyltZ9QiKvEvAF8wMkoK0N1T13dJuT0VFZODiixOgLRX19Je/edpr/5q2qt/kfbqz6a9eilvzlh5mNJKpU1AwhRxmShtWMsTg0RkJqoIOgxnPHQ8IuqyLWLorIU0YU+aEbuZQI7SPRqHGddz+mZta2Eo5lkr6E+uXO6JTUPxYcRDuBmitvpz4CVnPLRTueMsQdyKveJtD1LPqFAoFhOy7uiyiCJ2AvAaGG2e1xvaL7p39oY1gzQi692yQNQZDx1XvZlODmmvvkbaq5+b9uo3pb36yWmvvky151RI2quvjGR8WNXyG8j62YVkPZ3gSuQSFThtI6X3VCXTXNNefWfgXSRz7Ang87RXP9U0IKcURyqwEHjd5rCB9Jq2xMyWagU8G39S+2xdTrMLBNQie7NhZN3R5bPu6E1IyvMXwKdZd/T4rDuqIaVY5yNK743mGHYGYz/whlkK9CMkGy+fbpoz/315xhdWhmKVUZHFifFnpNYtH41bHrgt7dXPdyVyF1Rg/DMRKWM7Iw7EkPs1kjI5EVYoccxAhEEqgtls/WJGLhJNwHZI24u/V+p8YyHoT85FvIs/QYyLG4DbIjHPiHx6pEbkC6yFcfqA24ruK2UEG5SOJBfzU6QXUWEkOH9RvtkZD61uXoBnLGmvvgZwIpJq8yFwhSuRe2acw10KHIX8RotFnE5wJXIzqj2MQqEYlauQ7I96AA2tZtYAbPdePQe+2sAdm37nO2oGznfGQ9dmfOGBKs21oqS9+tHAn5A1pR44EDg37dX3dCVyz1d1ckNshqyxVgaahqiwHwB8UMHr8xvYZ5H0U2Lfkfbq3zOPF6fKnotEqf9YiQmOkVOQkpnivVQPZpZU1h11Ar9AoqqvA9c7UoFPzf3BE9lo9HREm8Gul+FLhXeY6a/PI2m7eeXSlYDIgobBtZC00nJrSwcwW3VkfOHXnPHQWoAXUYj/FOlx/ZL90xVTxUyJ4Ew70l59S+AQRvYwagJ+a3rNJkTGF34D6dFXqnWFTmV6zTyOfeSlnqILxgTZC7lIWDEbuVhMOUF/clXkvT4f2AERqrkKeCboT46opTAvtsciF+ZCBhCBgUjR/fdj37PyE2AsKm/HYt8/a2lg0zGMNe0wxQ7eAH6F1OAcCjyU9urjcsK4Erkvkd9JB7IAGojS8I9didwdFZm0QqGYFmTd0TlIpGJEj7ZZAxqH/3tEMKsOMSxnPGmvvg5iKM5i6PU3ISUT96e9uqW0ZBX4mtJ70E9didy7lXTkuRK5PqT2rbiNmYGsCxeVePrZWBtBzcDvqvG+OlKBJ5FWUK8i+44B4DngB45U4D9Zd/RAII0YjocCZwDvZN3RvQuGeRbIYL03GQSuKbrvZ4hxWPzbam7q005cqkezcqznyZ+jG9k3HZ3xhb9TXM34wl9nfOFYxhc+IOMLH6cMxemDMhbHz+HYe08GEY/YhDF/LAcxUmG1kAUTOYeZY96PtQBID/D3jC/84UTOUUQjpdM3q9UwvR2JsBaevxnp0xiwekLGF34A6V35DHIh7AFuATbL+MLZoof/DrlIFns2e4CTIjHPWCKBc0scy2FfSzntSXv1eobEDvILUo3598mmo2bMuBK5T12J3JGuRG4WoLsSuc1cidxDY5jXrLRX3zjt1Z3jOb9CoZgylsfeIcly3SOWH52RTr+Zyi+xzxqrQ5y104HnsN/XLASunqTzXoas51+Z5+8FXgZ2dCVypQR0dsJ+z1yHRbrmZJF1R2uy7uiJWXf0YyTddHXgEmAFRyqwrSMVeCHrjq4I/AVxGuT3do3IOnp71h1dCr6rdd0TyZRaiBjNC8zb/o5U4JOi0x+KjaPagIGtOutKZSy+gURig8BqGV+4Y4wvXVElVBrq+GnG/sJRi3Ue/rjI+MIpZzz0PiIvbGVkbWSmHY7XoAsg0tFWPMrEU1yLeQL7795CKiMONCaC/uQcYA+s59WIRPLOsXpuxhd+GolEliQS87wT9Ce3RRarnc27/wecFol5HhzjlB9F6hStvJkNiKdxprIX9s6EBmQz9OJETjAWZeK0V69BFrhTEEdQXdqrvw783JXIlYr6KxSK6pClhEMyM3dE2dr7GV94JjWvL4XduoB5/7RwdrkSucG0Vz8USe2sZ2jOXUg9/j2TdF4DuDLt1a9BSki6zLZno1HKmVCL7F2miquQUpS80bYMIiqzRdYd3cM0AH86yhiHIAJDOFKBj7Lu6HpIJtvGyO/nXkcqsMjiebZOGN1gYKDGVnW8C7g44wurnsYzEGUsjp+HkAJhqzzvAcQgqiTHIr2BrKgBTnLGQxcjRt9PkOhVB3Bpxhf+0m5QZzzUiNRGWnmKBoBPMr6w7UUy6E82IikJX0ZinlLRz+/I+MIfOuOh25B6z8Io3gCSmlINb9NS2KeI5o9PmEjM8wawu/m+1UZinvEuMJcgSqjFm4Ju4PqML/z1BKZZEmc8tAbiRf0w4wu/MwmnWB77+k0d6Ys1lVwCHMPw38jmwLNpr75BmRsNhUIxRThSgZ6sO3od8rsd5rjtqTW4ftvvlrQcEkn5xdTOcFJ5BVE3t8p8GmAa9U52JXL/THv17yPtxXYGvgSuAO6sgPLpaOceQMRqyuXPwOmMfF8N4H+uRG4sZSTjJuuO5sXsiucxC6nv3wUpK2rBPmjRBKxaeIdpYD5u3kpxMyJMOGLvq6HVvekYCCGlPIV7u0WIUu9fRxlbMU1RxuL4+RtSZ7YGw3O3e4B/uRK5lyt8vqURpSir9MMGJBpzJGLU5Ofza+AoZzy0udnrz4oNsS/4rsUmZSXoTzYgIjVHmc/Xg/7kncAJkZjn21FfjSzOnyHF0AZi9DyG5LCXZXRWmM+QdBS7i6ud6ti4iMQ8Vh67ssn4wu8746HdEMN6JWQTUI/UF/x64jMciTMeWh4R7dkOea/qnfHQq8BBGV94XAulMx46AKmnWAvptRV5SNNerjUMu6hAD/ZOk4pjKggey8iFWTPv+xXibMk/fjmkBcoXrkRu2mzKFIolkACyPu+B/F5zBkbt02v3Pf/Yen1rIr/fR4HfZ3zh1EROZCqv5s/zqCMV+GJCM58Y1yJGTTGDiLLoE1M6m1FwJXLvMk37G6a9+rrAfohD/n7gMCTlM79PGEAMoaOmcFr7ljjWjDjhH0cUvhdiHdBYCIzpO591R9cCvo+s0+8h7UMKo4jdwG9fOvmCS53x0LtINo4bmI98J8/P+MLVajOimCCaYcxowcSqkvbqyyPepj0R9cs6ZPP+K1ciV1xAPSGc8dD2iOrVHJuHfIHIgBdHZAaAmzO+sNdmXDfS48ZOLOWtjC88oilr0J+8H2m2Wmhc9SJplZtFYp6yitLNyOaqwFeTGQ0rh6A/eTrwW0a+F93AgeNIFZ10zHrTDREnwusZX7gcQ3285/kvskAURjMHEGGedYv7YzrjoXqgJuMLWxrGznjoPCS1s/D97gKufezJ6NZI9K64iH4+sI4rkZuSzVjaq++JeEPtakRfQTziByBG5eaIQVsHfAAc6krkKupoUCgU5ZN1RzdExMp6kdQ6O8fpeMbWkDXjN0jdP8hv/49AKN97bqpJe/VdGUrjbEBe+5fAbqPU5Sn4rvSgHUnlrMF0NiApsy8hiumNwINA2DR4p4SsO3oyEMY6cmwA7Y5U4LisO9qMCNcsbfGYL4DVHKlAKTGa/PnmIK2ndkX2uRpSz/g40r90DiKi81tHKqDE4hZTVGRxApgKi/ub0YSVgIwrkZs/Saf7F7KRtjIWu5CcdavUvVokN91rM+6byCJiZSz2YOa0FxL0JzdBUh2Ko3ANSIRoL8QLNyqmITFpF9qgP7kCot61NhIdvKVE5DOCpED+CrkogrynJ09HQxG+U2SdCmNkV8RLX5z2Wos4KX4E3AHgjIc2RlpV7Gz+/SpwamGvJGc8tCaSMl284DUDbWe79//BOal7o0h7kH6GFqgfTZWhaNLD6GJMnyJGbf56mjdwNwCeSnt11xTPWaFQmDhSgTcQYY3J4AhErKO4qfwJmO1+Jum8JXElco+lvfpKyHV5ZSSK9PBkp3YuRpyAlBkV73H2Bv7rSuRcUz+l73gAuNDmWBdwF4AjFejKuqO7mY9vRNbufiSquEc5hqLJnUif7cLv+Bxgf2C9SjpfFNMXFVmcQTjjoZ0RI6y4GPwx5CJmZ/wPArV2fffMcf+OXAjyoj15I26bjC88rK4u6E+eBlyAhSy5yVWRmOf4cl7TZBL0J/dDPGIactHvQt6LvSMxj22/vqA/uRwiWNMHPBGJeRYXlbxx44yHzkQEfuxEnf6U8YVPcsZDGzAUqS40srqB/TK+8GPmeL8GzsNagXcAOC/jC5+T9uobIGq0nwFPT/VmJ+3Va5Fi/+UsDvcw1MfMjh7gfFcid/4kTE+hUFSRrDv6LvYqmFlglWpFF2cyZvrnmci+ph+pk4tOYUZJhqKavgK+BpavpuGddUdvRLQpiusCXwJ2cqQCgwWPrUPexzWAd4AHHalAWZlfWXfUhWTPWJXnLAKijlTgrHG8hGmFGQD5LbLvW4ikzf4xEvNUNENwJqMiizOIjC/8pDMe2gSJyOyIRASvRCI6/8O+T9R/SjVoN8fdBvmx7IIYVdcBlxUbiiZ9iNFlxSByEakqQX9yRcRQLG6DAXB/0J9c2c4IjMQ885CaVMUQ32Bf09mPyJDDUGF7cTSuCVGB3bjgbzvFvlrMOgtTbbRqiqOuRG4g7dV9yHdpFkOvqxv5ni8zyhCzkDR1ZSwqFIsRZgrqmiUesjxynRtWg28KlHiRiN8zwG2OVEBtSk1MwZunkWtnPlvqZOCnaa++qSuR+3ySz69RWkRttnmbrCyycvAh0eIAolOxCNErOLPQUARwpAL9wL3jPM9m2KufNiL70BlN0J/cA0nZzgdLVgTOAg4N+pPbjSVY0NbRUgMY7a2di52DSBmLE8Cs49oSaYD+GfCPyS7gNdUnj7OYSxDpqVPco7AbqacYbdzXkHTVcriXkQ3n8ywC7jSjjycgKYqvAedEYp5Hyhy/Evwc+/TBeiAa9Cc7gGet+hsG/clVkLm/O97IYtCfbAa0CSieTiduB6I2x3LIdw/gh9hHH13OeGjZjC/8FSKyEMC6+H4BIjwxLXAlcvelvfrOiKd7W8RwvgrZwCxbxhBVrcVVKGYKZp3z3ogh9TrwTClHZzVxpAJG1h1dgL1Sdl785Duy7uipSEZFLeIsOxS4KOuO7uhIBf43mfOdQVzNyMyUeqQH8m+BEyfz5K5Ezkh79XmIsW9FL6X7Xn+H2TN4aeAbVyJXbtrnqJiRwXDWHb0IMaoXFRuJFWIe9gKIBhI9n7EE/ckaIMHIffMswAUcDVw+2jhtHS3bIXvibYHBto6W+4FAe2vn2xWdcBVRaajjxBkPrYgIzqyHXNQGkB/PQRlfeCqNosI5/RyIIYuQhhiKJ2R84YoXHQf9yTBS21dY69gNJBHPzFYM/wF2I7V/I2ogJ4OgP3k10FbiIX3m7XNg30jM85b5PBdwI6L61Y8YPn8EfluuaE/Qn9zGfM6m5l2vASdFYp4pU/GcDJzx0AnIBTEfYTOQNMuLMr7wueZjFmIvltQPrJTxhb82HS3PIe9zYSpqHxIl3yTjC0/r+pq0V3+K0ftrLgRaXYlccgqmpFDMWJzx0E6Ih19HjKlBpO5vz/GqLU82WXf0EuB4RtZe9wI3OVKBYwoeuyXiJCvemBpIyYdrpqasmoIw6yLrQnq8KZppr74sQzXgVnzlSuSsSgLGep6NEZGYPZD3/yHgdFcilzKPn4k42Ys/q0XAVa5E7tRRxm8ELkJU32uQ7/J15jmqnnlVLll3tFQZRhfgcaQCT0zppCpI0J/cFPgn1k5rgFcjMc8mpcZo62jJl3EVflcGEaf3Zu2tne9VYKpVxy4CoBid+5CUumbkS7IUoph4jzMeWr0aE8r4wjciQjs7I5vYVSbDUDT5DdLD6nXkovEO0rLhr4goSfFFtgm4zIy2TQWjiebUIxeINYEng/7kLFMM519ItLgRKeJuRiJIl5Zz0qA/uSUSFdsS2fDUIkbjg0F/cruxv4zpQ8YXvgJZXO9BDLp/IHWI5xY87H7s+1W+kVe8NaMF+bF6kZSeXvP5O093Q9HkUkqnXHchanl/n5LZKBQzFGc8tBLy218GWUubkOuzC3jIdC5NR85G+hYWZo8sBN5HMicKOQlrBUsNcCAO1hlH2qv/CPgIqZf7N5BJe/UDxzlcA/YlLvnjE8JMc30WiWDXIXuBfYHn0159Q/NhFwFPIp+lYd4WAi8CZ4wyvoZ8l49BvseN5v+PAf5uHp8WpL36Zmmvfl3aqz+e9uoXp736sLRqRyowgLTi6GJI9M8w/74BeY9mMrMo/X0rZ796BSP3uzXI9evckQ+fmag01HHgjIe+j4huWNVc1SGextCUTsok4wsPAP+Z7POYqZsd5u07gv7kvdh7aQaA3ZmaesB0mY/Li98cjBSANzHSidIE/CLoT54TiXm+HGW8KCMvHPkxLkHSFGYsGV/4WaDURuAMRA13NsPfx24kEl041nzgMGc8tAzgBD42U1RnCqtgfQ01kN/gxcBtSoFQoRiVY7BX814duW4+O6UzKgNHKrAw645ujVwTD0eueX8F/upIBYodSWtj76AfBFYDnh/rHMxesD9FNAveAm6ZRFX24nPvgewBCmvZm4Gb0l69x5XI/cPuuW0dLSsjEav321s782mdWST10UpcxgCeqsC0Y4xMc9XM+y4G9nYlcv1pr74vsD0iJFML3A087krkRov+bgtszcj6/lmIQ2BafJfTXv00xJhpQH572wHHpb36IUu9EH4AcdTkkGj4xoizYzukv/gVSD/RGRkJL+BV7O2gfkZx9LZ1tCyPRNSt0BHF2MUCZSyOj42wj57UM0M9hBXCylDKk29kPhV8iXi/yvEMzUE+s3xE0YpeYBskzdYSM/+9VMH3VkF/sj4S81SsdqESBP3JuYjSqQ95v14HzojEPGW1Pykk4wu/44yHtkQ8sx5kc/QUcHrGF7bcCJnRxhlV15f26g4kJdfqGtoLHOZK5BabegWFYpLZEmvxLJBryEZMgw22FWYLglvNWyn+y1DGSTG1SLbGmDCNtbuRtTUvphNJe/V9XIncVJQ95GvmimlCro8jjMW2jpa1kFKPzZENud7W0dIOnN4uRloASdks3kv0IHXj4ybt1euAnbDWM9CAPdJeXXMlcoZpFD6d9uqfIDoRAWC/tFe/ypXIlXJG/9Bi7nmakIhmVb/Laa++PvB7hn929UB93Reb3mFgLNDQ8uUmXwHHOlIBfxWmOqlEYp6uoD8ZRbLiCveKBpI1dMkoQ4wWJZ42UeSJotJQx0epvjI5oHOqJjIN+Rv2xd/1VMYzWA7PI5v2cuhFvGWlitbzNaClyKerjPf4lGOmBT+PNJRfCvGGfR/4a9CfPCr/OGc8tJozHvq1Mx463xkP7euMh6yiAABkfOF0xhf+MWbvwYwvvIudoTiDORj7z1JHogwKhaI8PsBedXGA0mvuTOEyhlL5vsPAyAEpRyrw2lgGMyOKdzNUCoP57znA/WmvPqklH2mvrgOblHiI2xR4+Y62jpalkVr1bRgq9WhC9AXaAVyJXAeyHn2OrMk9SKbQPq5E7qUJTluj9AZ+2PG0V/8J4jw9CcmYOQF4Je3VjygxxgD2wYQcYiBXm6OxcFrUfrUhjR/8uFFDWwHJDmpGIt53ZN3RnaZ4jlPFOYha+QLz1oNEHHeMxDwflnpie2vnF0jKuRWDlNlvfCagjMXx8ST2hkUv0s5iSeUGpP6s+GLZDdwYiXk+mYpJRGKeAaS4vJvRDTQDuAm4nuG1J4UMMoqha6bmPmhzPgN4MhLzTIeFohAvshgU14I0AZcG/ckGsydiGlHx+z8k7egNs84IZzxU54yHTnHGQ+8446GvnPHQE854aNeML2xMVyXDCjAX+/qZOspTSVUoFEI79pvoAaSx+KSQdUcbsu7oT7Pu6N+y7ujdWXf0YLM3XUVxpAJvGhheQxsYMGp6MRjAqOllsOHLmgXfi3yb9upjrcc7HHvDpwZxaI1K2qvXmwI1Y2UQewM/f7x4H3AUYoAUOxubgNa2jpZVAVyJ3E2IIu5mgBtY35XITbg+zlQkLeW4fCpfNmCK7dyERN/yRm+d+fe1ZnaJFfdg/13uQwz8auOkuIzKgIaP9kYzLLWFZiG9tRc7IjGPEYl5LkTUdrcF1ovEPJtGYp5XyxziV4wMJOTrOmd8D8o8ylgcBxlfOIfkIs9n6EuSQzwSF2Z84RerNbdqE4l55iMpnY8ihvNC8xbDouXHJM/lbkRE5RHgW6QWop+hC/kA8vmdGol5PkJqTV5m+A/fMP8+ukxDL4C83sI6tfyFo6SCWpX4GfYpM0Z6uU+PQzxvjQwZR3OQRtS3mRHGBxDP3NqIQMXOwH3OeMg3mROvMv/CPtK8gKmLoCsUM56ML5xCRNN6GDJAepBr6f4ZX3hSnGxZd3Rp5Jp/NbKmHwD8GXg2646WKqkYFwu2+k3Tgk3P613Uch+9qz1E97o30fW9P2hG41fbIeqcY2Fd7K/dzUgNvi1pr35Y2qu/g7zP3WmvfkPaq69Y7snNNM27sY6i5YD7XIlc8bH9Ssy5H6mJy48/6Erk0q5E7gO7OsG0V9fSXn2DtFffJu3Vh7Uwaeto2aKto+X+to6Wr9s6Wj5u62g5r62jZSmkT7XVtbub4aJEh1La0fxTqztdidxryF6i+BxdwB3m8WrzLMUBj1wDNX0l2wZvXc7AWXe0NuuONpl9SGcMkZinNxLzvGHuBcumvbXzEUQg6SWGHCQPAdu0t3aWq50x7VHG4jgxDcK1kI3035DFZtuML3xeVSc2DYjEPJlIzPNDRABkE2D5SMxzZrmtJyo8l2cjMc+ekZhn6UjMszxSqN2ORIfjwLaRmOcq87H9SAP13yCRtC+QmotdIzHPXWWeL4VcVO9lqD3H/eZ5yvVUTSWl6paNL5q/PRTrmpQ6xClwNCPbpGD+/SdnPFTxDdc04XEkda54EzuAOCWmQsRJoVhsyPjClyF1bJcj0ZnfA2tnfOFnJvG0UcTJVSjKNhupkTx7Es73G2oXNfev8G/6Vv4nubnvgGaAXGN/Ocbo4lvYZzjlFcotSXv1XyGZNHnRnQagFXix2OgahQBSb16YXtuPOGdPs3j8ghJj5R2zZZH26psj78G/EYdlNu3V/5D26npbR8ueyBq/N9LncBVzPi9c8kPn64gT+UXkej2ApMbu6krkCh39K2Fv2DZiLcKT5yjkvelE3ptO4HREF2A6cCPyOQ0ZwzWjbs9KlvVk3VFH1h29BfnuzQfezbqjS0Q5Rntr5xPtrZ35LgCz2ls792pv7UxVe16VRPVZVMx4gv5kLeKx3AT4DLgtEvPMq+qkZghBf/IqpF7EygvY/dcN//XxgJ6zU/v6drmuOR+s+c0K32/qa+DL5gW8u2yW3trvMpPmAz/L+ML3TsLUq07aqy+PiFpsjyyk9cArwMGuRG5a9oVTKBRC1h3VkcilnajZN45UoGSoxY60V18F+B2SClqHOJd+i2Qk2J2vG3CVe+0wjbqvsFaR7QfmuhK5HovnzUIcoVY1jd3Ama5ELlbOHMzxVgaCyGvVgDuAiNXraOto+TGS2ml17oXAiu2tnSPmbHHO1ZFawjnF8zfguj/80PkTrI25HuDs9tbOqDlOM2C4ErkRRqpZrxi3OEd+rseb6bIzErOFSBIpqQCoaUodm9MXtszW0IoDSQPAjY5U4GirscwI/etIj+3C9NZu4DeOVOCPFZ28YspRaqiKScfM7d8a8Tg96Urk+ouO59tX9FqkrQzDNAxXB+ZHYp4vg/7kWkhT1aWQi3o3cHHQn/RFYp7bKv9qKk/Qn6xHJMS/jsQ8U9awN+hPfh/4OdaGYh9w7oCe2xGRZB/xmA0/W61po89X21gzNGrQcCxcmg0/d/LYmm8wr/k7B7KdwuGMx5XIfQnsnvbqLUiWwYeuRG60/p4KhWJ60IS1oZVnbtYd1cbaHsA0nv6D1C3n91j7ArsiUbiVbZ6aV54sl/WR67TVNXYAiY5alcRsi70ASxOSXlm2sehK5D4F/OZtNO5FUiC3ZyhqZyBG3LHlGIomfqxrxpu+mFPXhmEMoFlmQc5ContRc+6lRO3uRSKhzQzPwsvP9/Yy5zotcSVyr5pr146IYf1m7cI1upCazmaGjL4+5HtbSom2Dfm+F9f6NgHnZ93Rax2pQLmfrWIaooxFxaSR9uq1wFXAEQylqQymvbrXlcj9zTQSj0I8sCsDA2mvfitwmiuRGxYZDPqTGrJA/Ba5INUG/ckXEHGWlRm6mOcXoHjQn3w5EvNMq/YFZnuNFRCjtg+4EPgl5vyD/uRfkBpKO6GdSnI29l7uPqTn1PPADyhKx1mmu3lgo89X03Wj5rtFtNbQwYCdP9iAu90vYGg0sATU7rkSuU6WbAVkhWLaknVHa5F0xI0RVdU7HKnAAiQ69DUSDbHi/XH2kTsTqd0u3F/lW1t8g1z7i9MbFyH9Eceyod4Xe5GtBqR10Xj0EyYt3ay9tTPX1tGyLyI+dxLiJH0Z+H17a+dY0o33YEh0ZhgDNVq/ZlBj2FfMldW+y+y1uDMiWrcCskYPIt+ZvV2J3JQ5dicLU8xnmHBQ1h39PpIy+2PEqXALcIkjFfi8xFB25SqYY2yDRNcVMxRlLComk4sRxbZGhl+gb0l79Z2QBTzEUEpKvuXADmmv/v0ir99ZSA1AYfrK9tjX3dYCx1Oet3NKCPqTRyOKoksj856P1McUvjc/A74f9Ce3jcQ8k93MfWfs3z8NWCPjCz/hjIfORQx6DdmELFj/y1UHawxtttUTdaMGx8Klez+d881NwEJnPLQD4qH972KsjqpQKKYZWXd0baSp+FzEQOsB/pR1Rw9xpAJ/z7qjFyDiXMVpkV2IHsF4OJSREZY8yyHGx27I5lozz/UWcMoYz1OqFZPBcJG1Qv6F/XW/B7h5jPMYE+2tnf2IE/mqCQwz3+7Aigv6jBLNMfop0Su5GFci907aq6+DRN/WQdokPJlXTK0Uaa++NHAkkoH1EXD9KL0cJw1HKvAh0iLkhDE8rdS6ro1yfEoJ+pMrIvvCfPurW4HLIjHPl1Wd2DRniTIWnfHQZog3a33g9X0+/e8tv04/+APkQvApIlLzTzvlLUX5pL36HCRiZuVtakSMvz0sjtcBDiQa2Q4Q9CdnI56u4seWEmiqQzzJEyLoT66BKOTVAQ+NV6Qm6E/6EUOx0KO8vMVDGxGp8N2Ah8dzrjFQyjOqY4oNZHzhi5zxUAdwGGLoPrvGNyucpKHtYflMQ2PFhXMf/XTON/OBLBKl1IF5znjop5MsWKFQKBSYaowPIeIm+bUi7+C6PeuOrgf8ESlrOJ4hsao6xNE53nq0UvuqQURq3wEcgkTH/g48PA4D5B7EgWolwtKLjciWK5HrSXv105FUzMLn9iM1/38e4zyqQTvwPSxqH2sHWWjAHxAHZ3Gj9R7ksx1BW0fLSohi+x5IOvC1QLJdPpd/mreKYwr1PIp875qQz+HEtFcPuRK5krV+aa/eiIjyLQU870rkqpVJdTOyr7b6LmqIg6LqBP3J1RFBpKUYisoHgF8E/cnNIjHP4tDPdVJYYoxFZzx0PHJxbAB09/xPtjj+3ceOzqH16xh1yIVkPyCe9uonKYNxwriwr6eoQaKC/TbHm5EIY7v59xYlxrJjAHhzDI8fhpn2ejGyiQCZ8++C/uTjwE8iMU9JZbCisRoRL3W5yqDNSIrRZBuLNyDtPKxSmd4qvHBmfOEPgUj+76A/uQ3iZBmR0lNr1HTPa1owD2msPIuhz2028KAzHtos4wsvNpLSCoViWrIzQ+mDxehAmyMV+C1wWtYdjQK7I8bcg45UYCICaQ8BP7E575dAxpXIfcT4UkS/w5XIvZL26kkk3bRwbekGkq5E7pUSz70y7dW/QKKq6yDGZYc591+kvfpHwL2uRK7sdW4stHW0NCCtPxa0t3aOJ4X/FqT2cAuGDMIBZJ9wBJr2OOIMPQdZ32qRRutHt7d2jmi03tbR8j3EGGxgaE3bBXiwraPlkPbWzknJ8kl7dZ3hIjMgRmMdEE579cftWm2kvfqByBo+iHzXatNe/WHgMCvBnknmOuBExDFTmB7cDfzakQpMyvdoHPwBqa0srFVuQBz3FyEaDgoLlghj0RkPrQZcgnkR0AyDc964R28SnZV8uoiGXHR8iMfu0amf6WLFPGxqCkwWULpxeaGx3svY27z0A1eO8TmFHIEUbRcaQ/WISMGFjK1n4maMLQ3DYLgUOUF/sgmpIWhB2nrcG4l5+iyeOxYiiHd7VYZe5wCyyFqqnhVwNdZpU/0GvJ2Z+9VBWBv3DYhy3i/GM+FycMZDqwI7IF7kRzK+cNkLpzMeOhg4A9lAfQZcClxp9lZVKBQzBxf2AjYNwPfzfzhSgSzwlwqd92ykxKI4Tb8b8FfYEX04klJ3GtLq4TNkrzOqQI0rkbsduN3UFlgL2fMchLw3vUAu7dX3cyVyT1dqsm0dLRrSmipk3lXb1tHyNuBtb+38T7njmPWEeyKpm8cjGS//BC5yJXIp08t8eVtHy9VI5Hhhe2unZc2dOafbkWhTYQLrbOCHyBp5a7lzGyMj9AAKqEde24j+1GmvvgkS+S5+7h5IRNSyB+Rk4UgF5mfd0S2RvdHhyNr/FnCGIxW4eyrnYocpjrg/1teEWuCQoD95ZCTmUYEiC5YIYxH54Xx3Edj42wyNwwU5C2lCfpzKWJwArkTug7RXfwtpZ1FcQdCFLGiR4ucVHC9MAXqRIuOpgB7EMNQQNdR8auVxkZhn3JFF4P+wlveeBfwy6E/+ZgzRxfz8ymURBUprQX9yR8T7mBdJ6AZ6g/7kbpGY57/lDBj0J+cgBvBOSGronyMxz2tBf3JzxOg7EjEYHwAuHE0YKBLzZIL+5H7AXYghn78Av/1Uy5tnIJ5fK2OxFlkgK44zHqpFFsrDGOohpTvjoeMyvvCoKWXOeOgcZNOV/9zXQhpl7+qMhw5U9ZYKxcRwxkPrI7/P2YjgxQNjdcRk3dHlEIPsZ8g15kXgTEcq8GTRQz/EXvWzH3G6VRxXIvdm2qvvgjgrN0GuQ58iwm1l9esdw7lySAbMxWmvro3TEDWAx5CoUH6dyjt6/5726mu4ErmxqLSW4mzg1wxfWzcGnmzraPlee2vnB+UO5Erk+pDr/bV2j2lv7RwA3htlKDfiMLVao2cjacOTZSw6sXeE68C6aa9+PJJy+z5wo6k+ezrWGUGNwIFpr76iK5ErJUhTcRypwJfAMcAxWXe0xpEKTLbmwlippXTQoZ5pVl85nVhSjMWVKPhhze3vLvVt0JCLpmLiHI7IZM9iKHK1EMlfvxr5TM5h+MLRixR435K/IxLzDAT9yV8gefF5UQAQo+odJB3SgzR0/hi4pQK55y0ljmlIelOmzLFeRl6XVb+mYrqBZCTmeREg6E8uDdxf9Nw5yCL2aNCfXHW0CGPQn3QjXtdG5L0eANqC/mQ0EvOcjXwGYxZziMQ8jwf9yZWAvZDf2H+BFz6e+9WGlFacsxUnmCBhxAtcLKh0tTMe6sz4wrY1J854KN8rrHjeTYi3dkcmqWZFoVjcccZDGlIGcjymmjWSufGhMx7aKeMLl5X2afZzewlRwM4bNDsAf8+6o4c7UoHCOr2HEcfjbEYaAgPIGjQpuBK5l4Ct0159GWSd+2yyS1smMP5ejIyq5dERR2LZrTTsaOtoaca6xlJDrrunIamMU83yyPfBDju13EqQwt6R3Id8t7dB1u1FwNlpr34kkn5rFzXvReoHp9RYLKIh644ejWQoNSF7mJgjFfioWhOKxDyLgv7ku0jGgRX/nQJRwRnLkmIsPo+kPc4BeHf2itQZtt+JXsTAUUwQVyL3Vtqrr4dEavcBvkVy2+8yPaKXpL36x8DvgbWRhf0G4IxiCfFIzHNP0J/cAyla3xoxOK4DLjHbTNxMZVXcPgPWsDmmIWm2ZRGJeXJBf/KXSJpT4ULZixiHdchi0A38ieH9jI7AelHIK5PujzRBtsSsvfwbkvKbX5RqzdtpQX/ykUjMM+72Fqahem/hfbfEny7cyBWziAps0pzx0FKIR/gb4H+IE+E4rFN6ZiEtV6wFeYT9sFcPbAJaUcaiQjFeDmCohjnPbCTdO4H8/srhBMQxVXx9aQKuybqj9+UjGo5UIJd1R/dGomZ15vl6kd/5sY5U4J1xvZIx4Erkvp7sc1SA9bFvwdFEQbruWGnraFkfyexaGomu2hlldYjRWg3ewP71DzC54iyvIK04mhhpNOa/4/m55R2ZNwCWdYwmdcj+pSpk3dFm4BmkJjW/Hq8BHJ11R7d3pAKvV2tuSPpz8T4MZO8VGvlwRZ4lxVi8CylsbQZqPpm1DP+duyrf/yZDvTEiS2UA2bArKoArkfsCONe8WR2/Fbg17dVrRlODi8Q8zyLKX1PBJUjBc/FFpRe4NRLzjKnBbCTmuTvoT+6DGMZbIhenFFLP2MiQd/Vk8/582uSGFnPI04S9lyzP5ogX3sp72YSoA1e6F2LU5nwgv6/4eAd2xkO6Of6xiOe1Donwnol9ypmGpIOVoh6oWXPhFxz9wVNs+nUng1oN/1zeRWKN7bUvGpcai7iSQqEYTnHbozz1wB7OeGjFjC9cTiTkZ9hnLcxCDJvvat8cqcArWXd0dcTZsxmStXKDIxX4eCyTX8zJIOualYOvF0l/HDNtHS0XICUOtch1uovSIm/jEmVp62iZg2SUrIY4Du9ub+0suwdie2vnl20dLbeZYxRf5/uwL5eZEGmvPht4GunJWbheGgw5NazerxrgA2RvUPybGgTedSVy/6v0fMfASci+pPC9rEe+AwkkKloVzH3YcUikPK9X0gucEIl5HqjWvGYCS4SxmPGF+8xeb/ch6YW5c9w/0sOv3TG44fxP6rSherg+4GCzyfZiT9CfXB4R9NkKqe+4NhLzvFWNuVS6b9FopL36iki06XDkQvYUcKYrkXvZfMhVSOrhvshFrwZJoU0jBt2YicQ8TyI1gwT9yXURdbbCC6pu/t0e9Cfvj8Q8XwHvInWZVsZKN/Bx0J/cHfE+PhuJeYo92ati783VKJ1uO2ac8VA9pVuWNGFv1JVDDEltKVRZdSFy73a9zWD0SPBj68//VLvk1dtoGOz/rrBhj8/eYPt57xjnb7CvyjZQKMbPmiWO9SK1W+UYi6X2LIbVcUcqsJASdW1LKqaRteHSO6z05tFPf2a3/g4yjlYabR0teyNGQ+G6ZeUsyNPNOD6jto6W3RBBQpDI8QLgT20dLbu1t3aOpc1VG7KGHsDQfnAAOKK9tfONsc4LwOzPeBaSVZVD6h4vdCVyWfMhvwPWY6TzI4dEOzeyGboBqbm9GxG9y0clu5HMnUPGM98KYtcyTQM2zLqjq1bTWROJeW4M+pO3IHWgBpJ+OmJP4oyHlkbEmLzI63kWOCvjC78wdbOdPiwRxiJAxhd+zxkPbQRsCqzZXdvwzoF//OhVM01yU0TS+glXIlcqd73qmDVixyJGx2fANcCTY1VwMlsfPIQYKPnePscF/clQJOYp2dtnJhP0J2fNGvzqxFlzLj1vUNNrW/qe0zbsvZ8m45u9gJ3TXn2f65b523OIR3RbxEj8DOnNcxXwYIXy2n+O/e9vEJFevxa4Eft6wlqkTxjIRa8h6E/+CQgVzPFN7FNCByjwwleIHENS3lYMYp/uWRJnPLQMUkBvFVmoB75A+pcVp+3m03ttyfjCqUePW75n1mD/sHSkWgyaB3q1C167azvkt6ZQKMbOO8hv04p6xFlZDvcgdW1W1zQDccCNCbMf4zbINXlpROTrr45UYEzZIzOFto4WHYmWHQf0fdNcV3fZbqt8eeiLX9Q55veD7Afyka1fmG0+xkqxiE0xBkPRtB7ECXv9WE7Q1tGyPFJiUXiefG3/I20dLau0t3baKhkWjJOfx+GIc3UrpGTmSVMgZ8ykvfrGSCpmE0Pr0bHAoWmvvpkrkfsEUQS3WstqEYdrL9bpsT2IPkAUUWf/BVJm8hDw52mQ+lysAlzIAOVpN0wqkZhnANGSsMQsc/k34sTKfwZ7AjuaYncPTv4spxdLjLEIYKoZvkzBl8QM108oZO+Mh7ZmaKF5CPhrxheu+EIT9Ce3YKj+ohG54O4P3BT0J48v12A0JYTvY/iP9rvePmYdW6qik58GBP3J2cCzvdqc9Xtql60DmN/o4M2GvfnRgoA2d/DTpkH0azCMz9C0LRjyjs0CdgP+XsEC6BWwj4Q1YLYVicQ8nwf9ycMQr6RmzqULMcY0RJigkOORGogLzeeng/7kv5HNUPH5+pDWEBUj4wvnnPHQ3xHBoWKDMQf8bQKqopshC6idsdiFOH3mMJS+kxdUKmnopb36Mk6bzY0uclgHIh5GhUIxdsLAbYz8jfUCf8/4wl+WOc4fgKMYqWzYDfyfIxUYUzsh01D8M3AwQxkkHuC8rDu6rSMVKFfEbCbxB8TA+C47Y6C2ZvWbt1lx4WEvfBFb9Zu+NRAF0evHaShC6UgyDClODpjzuaC9tXOse6afY1/u0IDUwdqqz7Z1tNQgbUdOB5ZD1oqrgbPHksZqwxWMFFaqN89zDuL0LF67C9GwF2dqQAyXd4F7XIncdFPufwbZl1p9NoOMrk47HTgBcRwUGut5NfrrnfHQakuaOvpYe9cpCnDGQ5ozHroGMeCORTxTlwNvO+MhZyXPZQqV3IVshPOb5XxvyJ9RWryjmD2xjzbVIa9lceTXwLqDWt13RtOgVk+f1sRTTb8C4IO6rdcAY3NGplE0AZeYBmcleBZZnKxYhHi1AIjEPPchi+9ZQDuyuL2MtdHUDJwe9CcLDcMDkYL4LnPsBea/fzbB9iJ2nIp4Zgu9uv3mfYEJjLuA0teseUhazxnIb/JeRCBo74wvPJqHuVYrHfG0U54bE2mv3pj26s60Vy+lFqtQLFZkfOH7kRYPixAD0UCuf68jxl9ZOFKBT5DIz6PINaUXUcA+zpEKjKev7qGIodjM0LVlNhIFrVTfxWlDW0fLMkia4MhaOE2rv3XrFWe7ErmfuxK5303AUATpsVdqM513dmpIKuV4nOul6vlnIeJJpbgW0VJYwZzPUkjU+oGCaOOYSXv1pRDnrNUYtch3DqBUe6qvkKjhZ8i6l2Po/axBnNcJ4MG0Vy9VflENzsX68+wCLhyrQ6dKeLGvjZ6LfPeWKJaoyOIkcBBiIBZesGYjX7KbgZ0reK6tkcilFU2IJ+ShMsdaFfvPvpbRvYIzFesURk3n89r1WKTN4e363XS0mlJpm7szVCMxEW5nSECn0ADqR0QYHit8cCTm+RzZbAEQ9CcvLDF2LfIZf2A+90szKr0NUlw+D7jXVJGtOBlf+F1nPPR9pFflgebddwAXZnzhiXjq/41sMK3SWLqA9owv/C0SLb10jGN/iQg9rG1xzAAeGeN4w0h79SZENOnnBffdCJxarPyrUCyOZHzh3znjoTiybjYj6sJPjtVDb6qY7pl1R2cjRsGXjlRgvF7+U7HOKKgFtq52fdUkMFp2RqUE5C5C9j+lBG1A3ufVkbVprKqjacT5YPVaejDXPyvaOlrWQUSPip3CsxBRuF0Zf6/tekobyvn9xdlI6m3xe9QF/N7s17k6optwGSLgU8hspFTmGKSn57TAkQq8nHVHD0SE7GYjTtg6JG32omrObQzY7QFBXo+deu5iizIWJ4Yf+4VmKzNUXam+MithH/kYa2/IUlLRUH79yEzDNle+hhz92iz6tYYc9lGkfLuKCROJeXqC/uQOSM3FGoghWo/UEB5YRkrxt9i/nlrzeOH5DGQxnkwZ8O8wv/fHmbdKjTnojIeOQFKoGxj6nLoRQ/IWu+eOhiuRM9Je/RQkVc5KVvu34x077dU14O+Iw6dwY+MFNkh79R9Mdg82hWI6kPGFOxGnyYQxhWsm6vAqtW72IhFGW2Mx7dXnIP0B8/3kngbOKRBKm26Mlp1RkR647a2dT7Z1tJyBlEMYDCl+W6EhbZDGujYlkGwbKwaQtdWOfUvMpxlxaIzXWJyHfGesnO4G8h3BlcjdahqDv2MoC6ce0SG40nxMf9qrv4D0erRTND+RaWQsAjhSgQez7qgT0QOZBfzHkQp0VXlaYyGJiB7ZRW1LtS5ZLFFpqBOjVKppL9KyoFK8ir2h0gc8N4axPqH0Z7/cGMaaSbyAjcevxhigefDL7lnGNx2IZ8+KOuDJSk0mEvO8G4l5NgK2R1KJN43EPNtHYp5yeiRdg3WqRw54ykIVdbEg4ws/hrQeuRnoRPpUnQLsWUaqaUlciVwSOAypBelFflf/BnZ1JXL/ncDQOyAR3WIPeCPixd5uAmMrFIs9WXd0vaw7elPWHf0s645+mHVHf591R5euwNCvYx8FaqRE2wiz9cHzSFmAE6kz3w94Ku3Vd6/A3CaDf2O/vvUiZQ4Vob2181LEYAoi+xM7FewcJQzyEuN/hqR0djPUdmMh4ijdq721s7fE00dzzo3beWc6/k7DuhVID5Jxk39sBNkn+pA6Uqcrkfu/IufhcgwptFqx7HjnOpk4UoFBRyrwkiMVeHqGGYogUdBuRn4PuoDfZnzhmZBKW1FUZHFivI4sElYenwYqWMgbiXk+CPqTjyG56sVG4wBjS7vbAPEw2hVYbzDmCc4MzkbSNoZFjmqNRXxv0V3f1jB4/Pv1O97L0Htc+PvoBm6IxDxZKkwk5nmVsav4XYwUkW/AUHS7B1ksj6nc7KYfGV84BRw5GWO7Ern70l49idSxDLgSua8qMOye2KdjNSPNqJ+ZyAlMVeejkevRc8CNrkTum4mMqVBMB7Lu6JZIWv4shrIJfg0cnnVHN3ekAt9MYPgw0iKp+Pe5CLjTkQqU+v0fi2SFFDqB8iIY8bRXX32iGQNmbfOOyOt+1pXITSjy197aOdjW0XIq1lkYdVR4T9je2pkFLm/raHkMMVStWir0UpTmb4rPNAI97a2dtu9he2tnsq2jZXXgp4hh+gZwa3tr52gR5/uRz96KLqRsYhhtHS0bIH08PwP+2d7aadsCypXI3Z326j6k1dPSyPfiI+BYVyL3QtFjv6WEEA+yj7T7XAzgpRLPVYyDjC/8oTMe2g6pa90C2WN3AWdmfOElUhVdRRYnxoVYR3cWAXePQeGtXA5D6jwWmeftRpQvD4jEPO+OYZxPKC3YMe4FI+3VtbRX3yXt1dvTXj2R9uo/mS4F2JGY5xlkUZmHpNt8i2H01Bk90ZxWt4wrkbvFrOPbCpFP70MuEAsQT9OvqjT1EURinh4kYnUCEu18AVFZWz8S83xQxanNeFyJnOFK5D6vkKEI8j0q5VUv5QEflbRX9yPpy6cgdTgXAh+kvfqmExlXoZgmXI/UPhWuWY1IXfavJzKwIxV4whxjEeJoy6+rTyFCMKU4CmvjB8RAsOuTVxZpr34U0g7oDkQNO5v26r8109onwk4MFx/LUwNcZLbWqCjtrZ0pJALbU3DubmQd9uRbVLR1tCzT1tFyHbLuzgcybR0tvywlONPe2jmvvbXzj+2tnf721s7ryjAUaW/tfBcxmK2if3XA9m0dLY0Fc3oCMcrakfTWTFtHyzalzuFK5P6K1Bl+D1gfWN+VyD0+2twsxulC2nbZRSrPG+uYlSTrjjZm3dG1su7o3GrOo9JkfOFUxhfeHklV3wBYeUk1FAE0w1ClMhPBGQ8di3iPBhAjaxDx7O+f8YUrGno3W15cjaQs5tWxBoG2SMxTdr2Wqayaxl4trA8xOmxTcKxIe/VaxEO2K0ONYhci6YI7TJdIh/k+bolsOF60E3oJ+pNzkUX/00jMM+a0g7RXb0aiPUcitQh3AZe7ErkvJjDv/RCRnYVARyTmeWW05znjoc2QdJ0GxAh+KOMLV6oFyBKHMx5qQBwKBvDCaCkpaa++IfAi1hvLHmALVyI3rlY1aa++CUP9vIr5BFjNlcipz1oxIzHrnt7GXpnwY0cqMGHl8aw7ugySqTEbeMqRCoyadp726u9hLwY3H9ijOIpULmmvvi/wV6zrp3/tSuSuGs+4AG0dLR9jX6u5ENi2vbXz9fGOP8q5XciauDpyTUy0t3Z+ZR6bhTi91mS4wEgX8If21k67+sTxzqUGOBmpGSzOsupBsn12QmoXt2ak6MkCwGVGTycVc291NaLunXcuasAxrkTutsk+vxVZd7QOcUzm1fNrgQeBYxypwOfVmJNi8lDGYgVwxkPLMrTQPJ3xhV+ZjPME/cko0kfPagHZ04yclTvWOZQuDj83EvP8fizzMwVCzreYXx9whyuR++lYxpvJmPLZzyOLYv79yHuvt3IlcmUZ4kF/chvkc9oKWdDySlz5iNSNgGWPTWc8VIMokh3EkCDMAmTz9YOML2yb0hT0J7+HpDS+FYl5qt4XyRkP1ZrzWTgJEfuxzONPiGiPhnwWvcDJGV+4ZEPptFe/DskMKBTE6gJudSVyvxjvfNJe/RokwmEVDVgA/Gg83myFYjqQdUfXRQwIuwbv8xypwPJTOKXvSHv1K5CUf6vMmQXAiq5Eblz9+tJe/WVEHMSKz4BVxusEauto+QBosTncBWze3to5od7TVpjO1z2R9+uJSMzzSdG8jkLEXaw+60XAqnnDMuhPboXsNfJR0tuBMyMxz5hqH9s6WpqBz7F2ti1EsnXOsTm+CAi3t3aeM5ZzToS0V18ZKaXpBh53JXITykqZCFl39BbgRwx/b/Jq7hs6UoFFBY/9PvI+7oLsB28GLnCkAuNynCumHlWzWAEyvvBXiDLXpBH0J5uwNhRBIha/RWqfymWgxLFaYJ20V5+LFF0fbD7+RuCmElL/fpv51QM/SXv1Y1yJnFUqxeLIGYiHtLC+tBFZKK8GfjjaAEF/8sdIr69ZjKyL1ZH3+mdIGuqtFkMcBfyE4Z/JHKRH0BXmc4vP6QLuRjYTA0B90J98FjgkEvNUKi2zbJzxkIaovZ2NvH+6Mx56CTg64wu/ZfOclZE6g2+AZzO+sG1tyRjn8jfEKZSnBvmtXOmMh+ZlfOF7Sjz9GCTj4HQkfe5jREa8pJFZBmtRWr131QmOr1BUk/eQTbmVATFIUYuhKSaCRHpqGX597gLOG4uhaLbWqS2oSSyVwro0ImoyXqfZzYgAi5Vg3jwk66iiBP3JU4ALGNp31Af9yTjwq0jMk78+H4q9U6AP+AFwZ9Cf3BlRl56Va/xMM/RF9XrPSkdog437Bv3JTYqN0FHYFfu90GxkjbQzyhsRcbopw5XIfUrp+sYpIeuOro30xyyO+Nchyq0HAzeZj90eaevWyFDp2/HAwVl3dBNHKlA156+ifJSxOHNYE/u6Jw3pnzQWSoaU9cFFKwMpZGHKGxubACelvfp2NoX2K5QYchA42Uyb+xy43pXIvTK2Kc8ojsJ6MdaBXdJefY4rkVtg9+SgP1kH/JnR+1Q1IzU3VsZiAOvFtwE4yBkPHZfxhb9LwQ36k7MRWe/lGF7PvCPwQNCf3LqMlh6VJohEVgvfh22B55zx0IYZX/g7T7IzHqoHrkMWql7kd9HrjIdaM77weGXQ82N/H0kBtqIeEUu4x+75ptDFdeatkryMfD5WfaE04M0Kn0+hmDIcqUAu647+H1LqYSVCM2VRnWJciVxn2qvviDh8NkLW5z5zTn8sZ4y0V98Y+BOm0ZH26u8gvR8XAsvYPE3DXtG0HP6AlEasyPCoaDfQVkpQZjwE/cn9kShgcRr+z4FPkSbuUIZCqVlC055r+rCpe+0Eg/VfgaGDlqut/2zn5Ro/3v8MpI6/XEr108tjZywOIqn+E6Kto2U2oqXwA8QBEG9v7ZzuojU/wH4/Ohs4ANNYRNa84t9uPbJfDJq3GUfQn2xAsrYORt6LW4C/RWKeUoGYGYsSuJk5fEXpC9tYoz7zKHFx1hjYyZDFpPBH3ozUOdr1nCslstOIRNsOQdL4nkl7dTs1ssUBOw8pyCIze5Tnb0f5v8/Vbe4v1UMsx0jj/nBkQS8+bz3SB2urMudTEZzx0CzgTEYuNBoyT3/R/VciF+9GYC6StrsCcK8zHlp/gtPxYd+XC2A9ZzxUcWGIMrgCa8/4APCOK5Gb7psOhaIkjlTgGiQS9hVDIjRvAXs4UoE3qjk3VyL3X1cityUS4d8UST29rBwV1LRXXxepN94JcdzXIkIodwBPYC18NQDcXyK7Z1TaWzvnIc7la5E2E73m+XZvb+18YLzjluB3WDs9m4DTTMcoyGbbzgiuR6LIqw7Wz1tj4QaXMjjrM9D7oXYR6P30rfTPmkWr3ekd49yewn5f1YUYOnab/0VMsNVIW0fLOsi+6RIksnos8M+2jpY/lBL1mQb0Yr9/NDDFeLLu6GqIYrAV9YiRPOMI+pNLI47aq5FU3AOR7MK3g/7k20F/cn7Qn/xP0J88qHqzrCzKWJwhRGKeT5GCcCtvTjdw+RiHfBu52FmS0xoavtBdVpHnBqRA3Yrzsb7YG8hGO29A5VMof5X26rtaDZT26iumvXow7dVvSHv136S9usNurtOU/5Q4tgCpOynFLMrv9WSXNvRBiefUWMxhF+yNWB0p8p9KNsXee1lPQUqoMx5aDll4rERk6pmgaiL2Xv48A9h7oCcNVyLXiRjIC5HvVb4u9h1gn6mej0IxGThSgauBlRCHlduRCmzgSAWeLXxM2quvmvbqp5iKobtWQDW0bFyJ3KeuRO5tVyI3lqhCvhaueJ5NiDH3DsPX024kK2fCqtztrZ2ft7d2ntDe2rl0e2tnY3tr5w/aWzv/NdFxbSjlqKtFnNIAtyFpx8VGcjfw+/bWzm8AvdfxSA2axdus99G34jNNbR0tZatytrd2fo4YfMX7lgGkjCGBlHJ0Fcxr0Pz78gq8Z3cByzNyb/RLyihVqSL3Y5+Z2IWULMGQvoIddr3DpzsXA2szfL80GzGM10HKfTYBbjD1QWY8ylicWRyJeFcL6/4WAv9i7B6uxyjR6NVA58O6Le0O2xkUtyEpLouQC0YPcoG1u1g0IWpkw0h79T2RReN3SKrKWcC7aa/usZvQNORMrKWuu4GzyxAneIEyLqQ1Rv/Alt2Jd9Ne3Uqw4AKsjfceIJHxhYvn9zn2n9UAY49eT5RFlL5GFTo7Nsa+BUUtkqo5ER6jdJ3vPzK+cFXUwlyJ3D+QjfQvkZpID+B2JXITTpFSKKYLjlRgwJEKvOlIBT4oPpb26r9GjKsLkXXjb8Araa8+LRuWm+yDfb3xSkgqnx+JPr6AZPTMxN/11yWO6Uh0k/bWzl6kHVQ7sq8xkH1AW3tr5wXm4z8cmPumRo3NMmVo/Yy9JOdU5HvzLbI+9wH/ALZqb+1c0N7a+QSSWXMZEom8DdirvbXz9LaOltq2jpaD2zpa/tHW0fLPto6WQFtHy2iORQDaOlrcSETaao1rRlohTUvM/qNnMHKP0420d8uXfbyPfbQ4h6izzyhMVfqfUp6h2wQEg/5kqSyvGYGqWZxBRGKe94L+ZL75tge5oP4ZyZMek4hHJOYZDPqTCSyMNcFAs3cIWcpqm6k3Z6W9+lVIfVc9cuGNIGmB39GtLcO/Zx2uvVe/k2fAn1yELIhn/OLrH6UQb1thGme+iPo2s9HxvNFfYXVxJXKPm015r0aiXfXIovAF0kqkJJGY56ugP3kV0EZxCo9hoNNvANomPX+t/X7v3YcBh6S9etCVyP2p4JG3IgvnrxDvtY58Hs8gaV3F/BkRYrFKGapBNmBTySvI4jPH4lg3Mt88X1H6ejZR1bW/InWJVhHuPkQIqmqYwlFWdasKxWKNmZ1yDsPFNmYjEa2bgH2rMa8yKLVma0CXK5G7FkkXnclcgThPi7M++oG/F7auam/tnI/sSU5u62ipaW/tHOZUjcQ8xrE3Bt8H1rU8U81AH5JhUTbmOc5v62iJIEb6t+2tnQuKHvMh4oj7jraOlnpEuGVzhhzoWwCBto6WrdtbO0dTPF+V0g7I1cp/FVOPIxX4Q9YdfRtxYqyPrLGXAVc6UoFB8zG5rDsaQPpEFu8rqt4jcpw0U7pPeTGDSKrquNvdTAeUsTgJmEIbDuDrjC88pgvXaERinq+REPjFFRgujo1xoGH0tfS/kGPkBb4b+5pF4DvFrmsA0l59LYpqArq1udy9VIxF2hwMrbYG8dDsCjz6SuNPrt5k0Z2lhj8cEQSYCdyOeIcPYMh72AL8Ne3Vf+dK5Eb7DH+NLHynIl7WOgzjnQ16/7HK0oOZZdbo+xfNxlcw9P6G01792XydmhnpCjjjoSsQ5bIG4JGML/xvq5NFYp7/Bv3Jy4CTGEqPyrfo8EVinop+l0cj4wsPOuOhoxFDrVARdhFicBduol4DskhqSDFdyIZlInPpccZD2yCOjI2Rz7MG+B/ww4wvrPpKKRTVIYh9+vmuaa++yjSNxt0FeLHeh71rrqOLA5cgSu2bMmRUdSFiLscWPzjoTy4FHDKXK5zBF5JvAXdHYp7vskaMuq6LMLQr0IyRkR3N+BapJRsz7a2d/UBmDE85HunXXLh/yjuGE8DOozz/LeyjUzmkz+O0xpEK3AfcN8pjbsy6owai/r00sm6+AfzSkQpYKppPc+YjKcqlBB0L0bHvEztjUH0WK4gpcHEOstnWzdv9wLEZX3ha9pMJ+pM3I8ZM4QWvG8O47xffHJACQogHEORHfoorkRuT3H/aqz+MFPHXAzw36yhSDfswqI1sT9UwOP/rI7792TIlik0ucSVyE60/mxLSXn17pEmtXd+o1V2J3Kjfi6A/2Yikq3z9i69/tCoiRmA1Zg642ZXIHTnuScv5foCkwLQg0b1LIjHPaxMZcyI446Gtkd/VNsgmIw5EivtEOuOhzYHHke9ZfhFeiKSQHljBFhrrIl7htwvVWBUKxdST9urvYy+i8S2wryuRK7sH8VSR9upO5Pq6NMMjFd3APq5E7smpmktbR4sDUWTtQa6XGuKYbTUf0gHc0t7aOS5hHTN1bz+kFUUjcCfQEYl5uosetydDrSGaEWdpH7BrJOb5rzlXEbsx2BTtu31L3qm5X3tr55S0U2nraEljF+GU9X2N9tZOW22Cto4WHfg38D1GpqJ2Azu0t3aW0j6YUWTd0RqkV/IiRyowo52rQX/SD/ye0kKGebqBbaq5h6oEylisIM546M+IopVVk9KNMr7wuBXMJougP6kjaR+/RlIwPkM8gZdGYp6c2Vx+OyRd4unxNBlOe/VlkBqAjYCam+cmGntqrO1Bzcj1HTz/uL6lBj+zqotcCJzsSuT+bHFs2mGm4/4S65qELsTwHlMrhbRX/wmSfrmUzUOecyVy245popNE0J/cGKkf2hVZyP8CXBiJeSacRuyMh9ZB0ms3Q+paLs/4wv92xkOrIn0Zd0NSU68B7s74wmWLzzjjoTpgsFLGpUKhmDzSXv1R5BpjxSLA5UrkPip4/PqI8+09VyJX1ciGWWt+PqKmWNdTV/PsrVut8MFXs+v2QvYRzwNntbd2PltqnPHS1tFSi6hI/5yhmu8aJHoyl6HNcBeyj9nWFJqpOEF/ckXkWl68ATeQFEdnJObpN+fdgLSnOt6c5z+BC9tbO6dMHbeto+VLpM2UFQuArdtbOy1bF5mG4l3I97Z4r9MLHNXe2nlLpeZaDbLuaAMiDrQP8v35C/C0IxUYl9GRdUfrkZTyFkSg8QFHKlCVNdps4RJDyoTywZTZSMppoeOnB3gsEvPMJL0NS1QaaoVwxkMtiBfuu3CzZsCKXXPrGgbqVhnUBk9EavemFWat4x/M2wjMfooTKkJ2JXJfA9ukvfqWwFZ9WvMF2Bg7BjUDg9T2M6SgWsgAUlw+U2jGXqBFxzp1ajTexv53O4CkY1adoD+5HfAwwxvxnggcEvQnN0UuqochEYG3gL9GYp6yeoc546H9kPq8WiSKuB1wsDMeOjfjC1+ERMPHjDMe2gVxlGwCDDrjoYeAUzO+8P+c8dAOSN3Npkj61J+A6zK+8GLZU0mhmEFcjCg1FxsZ/cCzeUMx7dVXRTboG5nH6tJe/XXgQFciVzJDwFRW3QURtmgC7gXuciVytiJx5WCqGR8B3/Xb+7f5WvKZEbsC27Z1tBzW3tpZMt1vnFzAkFhHYUpksQHTjPR6vhBpfTUZeLFeL/OtkvbBrJs3xXCuorp1YP9BnJJWju8aSquR/8R8rlVk6msqWH9ulgL9ADFC/+5K5CZdqC7rjq6ICC+ugGgODCLfs/uz7mhrvqZxDONtiexD6xjSwliQdUd3d6QCU95L2Ow3fUrQn7wI2B2JbD+P/J5+hOzFNMSxPyMy4UZDRRYrhDMe8iIbyNkAK3QtxY4frE+NIdc+3agZ1I2aR4CDIzGPVUP7JYagPxlH0lGsioSzR359yN519D6ILBANyEWuH9hzJvWNS3v1VqSuzmpB6Aa2diVylmJBo4z7MlI3V2w0jjpm0J/cDVGX3Rgxei4Hrsp7bCtF0J98A1GQK6YXWfDznrYmJGI8AOwZiXleLDWuMx5qRqLfVu9pD7DZ4f/d4X/IxiYHfGhe2EvijIf2BO5huAE/iHiIf8dQU+n8xqALUcbzqAikYkkh647WIi1rjkA2bXcCtzpSgapmzaS9+u8R0a5aZEOZb0+0gyuR+yzt1WuR+uLVGX7dHEAiZi67thfmc+9gaHOvIdesT4HtXIncl+OYbz2S9lmHZIPMb+toOQ1JbbNyIn4OrFws+DIR2jpampCInZWgmR09QHN7a2dFN45mmur1SITTij7g/yIxzyUWz90Wed+2Med3A3C+qe8wabR1tOyEZEwVv3/dwJ/aWzttnZZtHS2PIQacFQuAPdtbO5+byPzSXr0OqZ08EFkLB5Hv2/+5ErnYRMYejaw7eh//z955hzdSXW38J427vY1dwAsCUwWYGnrvJQHRW0yV+ADTiQALhRAIpCBkgujgQCJRTUIHEUroNZSE0AwM1SDAC+yyxd0ezffHmVnJ8sxYsuVd7+I3j5+wKjNXM3fuPeU975HWH7m1Rl3A2bVtTXmXMnXUN08FviRHJBFJKMwBVq9tayqq/TIWhILJKUg7lI5ozGe7LoaCybWR8pr9kTXlUeCiaMz38RIZaIGYzCwa8MTDHmQyfpoKRAqmWiKLmQ5Q1V/Grp9vSGl6iC/kRgqe/4EUe/+U8XtkAZvC0KhcN3DOhonu/xn1HPshPWs+A5JjjeIuSah+5eeIeqbVRtwDPDcaR9HAAUjd4kqI8dKLXMdTRnAUTwKuyhrTDCRS7AsFkz+PxnxFMURCweRqCM3LCuXA4Qy972YU+/FQMLlKtpiBBQ7Evp9hSf0cTwQRHZhunOPrUDB5SjTme9rmO3jiYRcigJNrpLmNsTUzfK2sRmTe90OyDHnBMBIPQ4ztEmQ9uMtQMx0RoWByBUSUyocYFX8FHixUDXkSkygUHfXNFcBTwKZkntldgAs76pu3rW1rWmp1+d6E9lvVr9yG1NlNR9bHR7McwP2QLEfuc1yCGHb7Ya/2fAqwF0PX8hqEDncT8jznDdWvHI2sNy7EZihT/UqUvVc9FJfLjm1SibAaihksNQNqhaACuWZjNs5DwWQZ0n7hTGQv6kKcdyu7tA+LTF0omNwXEZIzA3nVSHnCwaFg8mfjGZif9vr1n/bOfvzffas8uTu6C1zaIO6BNC7uQH6XE5xauqQZua9vPvgTokeRK67yB9WvfOxNaMkinGMYOuqbZyLPy3BRCrk/5yD7Vr5owHpOmPd7fzJ1rksdhhCgoxhgKJj0Iu1wasgkTY4EDgsFk2cBLcWyx4qFn7yz6ImHN0QiURsiC6DLEw9fAfy+kDonJMJUCrDu3Nm405YleeXALqFgcp1ozPfJ2Ea+7MJoAbI9smFuj2yYX7v1gfNPmH/Y/1Q/pnrdg6M5vlFn2QBsAHyKGONzjfdmIvTH1ZAWIPeOpg5zhPPviETcrRzFfkTO3aZlycjwJrSU6lfWQyJ3myMZwnucWoqEgskahjqKJqqA7RBjqVg0pwoKN0JAnp8DEQfKDiuSo65rYtUFK5Ru/N3qPoZmrNcBHg4Fk3tEYz67SO1spPDeCgpGEGibuZ9x1Jf/xtPzI9+XT+Hu1baueX7F9U4gT2dR9SvVSG2Nl4yxvT0QVv3KNiO1hAkFk+sA/0YMI/M+7gT8OxRM7lvs7PAkJpGDELLeZDs0Nci+dh1i7Cw1eBPax0ik3gpbY92CB+P1bbB3Fn+F9VpeBuyn+pWpRrnGiFD9yh5IHXXu8c4r0fT0YImttJsLm3VvDJg3imN+aaiGjglGzddDSLDBnE9OYiED5OxPoWDSjTB3cq9lObKmn4YEbIuOUDC5KvBWxbc/n1HesQeDU1Vw97uVzrX63APTWvII3j2L2CdW17+cUSq6mlD9SgVCF7aat1UIu2hcnEUkiN2PvdKrVfupxeiob94JKSXZCMkodmI/N6qQth3LGpqRdSebdu1CfLJrgX1DweRBEykI/JN2Fj3x8CpIz7mpyI0yIzBNyAKWd+1TKhD50RMPXwhculLXtCrFvpd4P1ITtVw4i6FgcmVkUf45ojx3M3D/SJM8GvO9D+waCianlOg9ZcfPbzjKhd6CLJ4lql/5ADjBm9AKUgNT/cr2CLfdjSww3UhLicOQxesuxPivQqI/V6l+ZTdvQitmrd9l2FN7vkIygGOi8XgTmgb80/jLB/tg39OpBqkXKZaz+Bly3a0WeKtaVBOV2GckTbyFGA5DNyIdNv92TV3R3VbU5irkntjRfka6F66j21/hqC9fpzItdtKMgW6aPnqcnX5QtxRF8LzwW4Samx3prUYCF1dj1C454A4k4py9uNQgDuf/IVmOSUxivHAq1hTJUuDAjvrmyqVNR3XAj0h2ysqA7UMcJzus5PCehoic5JvBuhSLvSEN1bqDBDgy7qIqY7Y0tH/b2Fr3JkLfzKdvXBfiZBQD2yOBLrtMai+yTpolCvtEY75cZtFG2Au9VSJ72rg4i8h9nAGUuPRSShdsCBmb43okAOuEq5DevLnOYg/wDycV1TwxUhP48XSwvsLZt7AVleqobz4VqUE2M8WrIzazhvUc7QGWKUVyI1CyL856Frsh87egzgPjCVuP5ieCs5EFKXeZrgbO8sTDdguRJVKByJ+Bowbcg/N1Z/uz4BqHiYhQMLkRUgcSQiK3eyEFvf80ahBGRDTmW+Sf/8vjXOiXIYtvNbIxbgq8oPoVq755llD9ShXiPE0h46hUGX/3AXcyNCszBaGDPGnUpRQL2zi8tzr2G9x4wmqeZyMfCei8YAQKQojDmIt+xBCwQg+SCXbCi0iPxSGOb2la0av7y51+3w4O73UgEUwraLP6FmnHtv97saNoojI9wE4/fLyS6lc2HWHMJk7Gut9SGXCYQVG1RCiY9CDPhNWaXYVQuSYxifGEEzUuzdJZ1/LF3dgHhXScBUXUEY5dSD/Ezaxe/LG6BJdzyKq3paG9qAwYA8chjnL2Wt2JrMM9iBO80Pjvy1oa2m8r0nkPwt5R7Eea3V+FZHVXi8Z8Vr2By7AvSTDfHy8chr1DtEUomJzu9OWWhvZ2xF5qR673AmRfbEX2ibFirsP4QGpVxwW1bU2dSK2kVeCoC/iD1fcM+uqVZHo8myjDOZjh2Jh7AsLFyL5XNRNsT/9JZxYR6p1dqrwfMPu25Y1UIPJQKJg8FKGm2YlwvFjIMZcmDDnrSuArCw71XWSysiZqXLq2y5T0d2dho7CaDcNA/h3Dr5WZ6Q0DJxnO3H4IdeMr4AGLOq9zLY5jogRrZ8nkve9N/lm6kdCPNV/fPN/SqL18AfsxdWFPwRoVojFfIhRMmo14pyCL/YfIPbI8l46uza1a5JjdTAUiuice3hN5vjbEUB3T0ee7cM3Gfk3rB/DEwxsbY9gSiUheg9z3041xZUf908CiA79+6wvdxshT9LQboTzn00DZyZg256Hd3FjBeM+uua+dhPskJlEsqIgwlhX6EAN1QsKg7p+PMAxMheY0YqBf4E1oTs3Y/4Bk9XP3lh6gpcAyhkVYZBaVtO4cyhNnouhoaWj/rLG1bj2EmbA/4rj8DSkBqSHTkuSZlob2Yo7Bhf0vdgGvRGO+kSgb7zi810+R97Qc2O2lkBGScURLQ/u/G1vr1kSo3TOAt1sa2ovixHkT2gLVrzwB/MJiLN0Ik2U8EURKO/Y0/q0he/PFtW1Nj9l85yDsy1fSxp+G2Ow9xr8PNpzTEeGJh2cgc7waeCEViCyxNivZiMZ86VAw+RojZ59nLYnx5IufurPoJNXvxjozYglPPDwLEZ0od2/keuaX7+1wK3A8mSiJqeh56ETiIdshFExuilBKN0Ue0EWhYPKCaMz3V+P9dZB6sGELvu5Sykv0nitUv7IRcLKdypyBeqtjGCgBfm70xXoG2bwqdehJ4/rLhRftGEmsueN9qUCkTfUrQYTmZzennRbvEmAt1a+shDijc8bYf+seMgIm2UgDz3oT2hKnakVjvq9CweTfEXGZbGNlEDFEbh+Hc94aCiZvR4QgeqMx37cAoWDyYOAB42PVgy4tnXbp7mfWeq9iXlXnp574O+ekAhHbFimpQKQD2NoTD2+C3K+vB5X0yy5czyA1MFYtV+7xxMMHI0ZfOeK8bohkHG9NBSKne+LhnyPtbbZG7lUSaDoi9cbhbj1t1TgZlxzHrhYqF6oxXisswNkg/BT7OaxTXOGLSUzCCr9D1olcZ6cLuKK2rWlCt5HxJrRrVL/yOmLIro8Er2LehOaoOulNaA+qfuWPCAVzkEyW41EKb9NzCxKsGhL0mdajaeUDev+gYpltM3vUjgtaGtp/RKh/V8Di/rhXIyyYfwO3RGO+YjurDyE96qz6KQ+SRz1dNObrDwWTFzJcSE5HnIlhyqlFxLOII2Zlu6TIkz1mqMqO19p9EnL/VkSus448qy8hvTXHDbVtTX3AAR31zfUIpbIHeLi2rcnpukzHfo9zIxnE94H1kEDB32rbmr7LZzyeePg0ZD4sfn498fCzwGFLqf95E5I9tytXmnB7+k+6dYYnHs5Vh8zGd8Aq+cjie+LhJoTDPohMajc6jxz2/rY3l6VLTkKKrV8Cro/GfE4RzAkBQ9L3LWSByVUrPTca890UCia3RiZ7rpwxANXadzQsPKkbibyeY3cuwxH8D/YPzSfGe7NzxkKPu5Sjtjm5Z/pA9wd/ezNe77LPukBGvc1qMeoDXkEiPX3GZz4HDvcmtIJ7+Kh+ZRWkQH0GGSrMILJQb+NNaB8VesxiwKAG/wmpMU0bY3sBOGFJz8tQMDnt+6qF531fveD8BRU9pV9O+wHNvThx3Q0cnwpE7i3wmBsivZ2qyBh0A8D876oXbP/U2u+aczoXXcDeqUDkFQBPPKwA6VQgogOofmVbRAXSKmu9CDjem9AesHhvCFS/cjhCz7Eyti/wJrRrRvh9VyIGlpVUu5OAzyQmURR01Defh6hZDyDrcSlSV3Nmob3TljWofmVFJCBcATwzmnVc9Ss1iE7C2mTWkx6g8x9bzjr7q5kVtzC0RY+O7B13A39qaWgfSxBzRISCyRBwMZmAWo9x/r8g6s8lSDC0JRrzzR/DeVyI/bADQ+mo3cAj0ZjvlwUc60SktZHJYHkNODka843btQoFk5sh99FqLW6Ixnx5K2SPJwyhmyOQrF03cBvwlDehTahntaO++WSEiWbHDFuE2C7PAu/WtjUVksjZDQk+5N6rHqA1FYj8X+EjHjtCweRuSEseK2XcbmD3aMz32pIdlT1+Es6iJx5eGemRpANPpgKRucbr5YgTtyGZBcukphyeCkRGpCV64uEDEDqmJUUlFYgERztuI7v3G6QQfCEiYHFjNOYbj9qF7PPegmRFrbJ0P5Jp2fAtVnUHusaaA6+yR1czyHVY0ZvQLLO4RrPjeUhUKRe9iDLmwVhkb3rdJSTW2IHKwX7t6C9fc5dgLUFroItMQ1cr9Oe8pwPzgXVG08RW9SsrI9GjXyIb2INAxGjCvFQRCiYrkajx3GjMt9TqZz3x8KPYR2e/BNYwHbZ8YQQ6LkSMujRiZEXu2uSl7RF6lRUVNA0k7DYNY46+gFBXswMS/UhQYaMRsufZxzJ7qZnBizKEChseSfTIcPZvQpobZ9NVT4zGfPfkc/4Rjl+FUGoPQZ6924DkssCEmMSSQ0d983SEtl8KPFPb1lRIzd5PHqpfqUSe4RMQp+xe4C/ehDa3sbVuK4T2ujvD+0H2A4e1NLTb0fjGBMPeeIWR+y72IHvjltGY75sxnK8cYQOdiQTx5iPZn2g05isoS20oo84Guse7v2LWObdD1uP1yPT8Ozsa842Z/trYWudGahqPRe7HI8DdLQ3tSzQLpvoVUz9iAHh7PJzMjvrmI4A49vPO3H96yQjdRIA/1rY15dND+SnE/rdCLzA7FYjML2TMxYLRPuZOhB5rtt9zIXu6kyr8EseEdxY98fCawFmIelYHkj5/Mh8j0uif1ozUI2VnliLApUb9UyXSl6cRMSRfQdpm5JUC9sTDbyBGpBW6gVmjSXOHgsm9EAfDrK8wj/c+sPN4OoyhYPIbZOG1wiJg+2jM914omLwW2fCGPOSK3ssBi8LM1D4HcXJ3tFMbVf1KGIlkWmUF24EWhP5k6eR1lE9hhf4uynTHNWwAMW7uBlZ2+mAOuoFLvAktWsB3lkkYjsjpiKDASkhG9w/FcELs4ImHnSSx+xBnsaNI5/o/hFpld75kKhDZ3+77RkagBXGkTFnwfwGBQptyG61d9kQ2vWcL/X4omJyNZMG7gOdG6EuZ7zFXRiLyM8lkXzuBN4CfWygRTmISkxgHNLbW7YY4B1Zr1QJgpZaG9qI/j6Fg8kaEupiPMuog0t/18CKc14Wsp1sgTnQ1Ukf+wLKw7hi6DqXAN9GYb8wGdWNrXQlSprErci1cyFr8A7BtEZRS84LqV85GAps6YoN2ASd5E1qxVNPpqG92IbaGnQq6nnX+bHQBv69taxpRitwTD3+LfbuOhcAuqUDkf3kNeBQwgjDHIUyzp4F7c/dsozf19sh9fnq8E0KjwYSuWfTEw7si6WMzI6QjEYI7PPHwqXk4jGcict8VDHVGmhB5/9sNR67Z+BsNvA7vpRGn67NCDmhEyW7FuidePTLx/lLIMQuEk/GpZL1/DlDp1gdOUPR+F4CLNLt2xUxHEeS+WQofGFGrC7B2FHWECvuxcb5hzqIOrNS3KB9J327E6F1x5I8OQRUS3Ysa490JCSyshhjW13oTWkH3diLC2KzvQxwYc85tAsRDwWR9NOaz611mfndPpEazGqlFuSfPxc6pX5cb53mYNzzx8AqIOJKdo9iFLOK28Ca0TuBo1a/MQLKy33gT2qjECIyebKNuImzUfha7CfFfELn1bJp2DaLs+yuMZ2ASk5jEuONk7LMs5npbLDE2AELB5Cykx20+jiKI7XhAKJgsL0KwyoXQ830IU8mNBOX+EAomt4/GfCOus6Fgshr4NXLtpgDvAhdFY77Hxzi2ERGN+fKqmysApyCZ5ew5YPYzvQXJQo0rVL9yEkLtzd4za4C7Vb+ytzehvVykU1UhmgZ2cGGtYlwN/Kajvvkqoz7SCR3YO4tlSEa46DBsoyuROWnSug8DLjPm9eLSn2jM9xVgq9MwETBhW2d44mGTG19NxlEwFQOPwb5nmvl9F0LhtFp0q5FsVjHgtFCUMjqFuM2xrq0CGXsxpJWdcBv27Q06MHpERmO+gWjMd+IBi0LhXbqv7tur6zKOWXAcqw8uTspqwH+8Cc2OqrKuwxhcSPbkEWz6A+ajP2zAjdAdC20mrGP031L9ymXAY4hAzHZI3d+7ql/Zu8BjTkTsggRhcp+VaiAcCiYtF1ojG/kI4rgcCxyKZP7fDwWT+Tjmd2N9T3TgP6lAZMx0Ik88XIU49vvZfERHnNJEPsfzJrQfvQnt7dE6ihMRoWByKtIn1aqetwoJkExiEhMKHfXN5R31zXUd9c12e2VBUP1KqepX9lT9yiGqX/EU45ijxEo4K4U6tTApGEZZwr9x7idph5Eoq7nnmhUKJjcMBZPZZSUBMiqV5pZeA6xJHgZ0KJisQMqJzkUCwhXAVsB9oWDyhJzPukPB5BQjID9RcTbW17UU2Kuxta6o9z8Xql9xI1Roq+BqJaLPUSz049z+BJzNPCcb0sSVWItZDgKvpAKR8aLR+5BMfbaGwhQkgeTUqmdCYiJnFnfBvr6sCskYPuPw/RqcF9W1PPGwq9CaKAtcjbQHyH24B4DHUoHIaFTEqnF+gIqyOTrgKiR7OZtMaxFTYezEaMynG3Vc04HeWRCbpX22J+JEmWPrRh7Q4xzOswjnOdjpTWh9ql/ZF3giDaVuqOx3KZTq2ghK40NQgQgK3IUEGkaUtTbQDdyi+pWtECp09j0uM/7+ofqVlbwJbULQZYw6kKOQDbgMceRuHqGO4yic6wX2R5Rxc3EqErSxioD+Bak1dcIlxmeyhYA0ZJ6dNsJ388UxyDy2W0s+AQ5cWjULEwQzkPXK7hpZFeBPYhJLBR31zaVI1uNUxHkq6ahvfgg4tbatqeD6cgBjj7mDjFFXpvqVBxCaeVEYDgXgaWQvtVJGLUFYMsXEUUjmJd+sookfkDrDEWFQNeNIULIfKA0Fk3ci7K9zsN5/FGC3UDB5eTTmO9/h8A2I05DLUKoCrg4Fk63I+vYbhCVRDfSFgsmbgN9OQMqfU6B1ACkVGM+6zFrsFb5dwLZFO1Fb00BHffPDiABP7vwbQJIWdmMpQWzIkXAnsA+Z3p5uhO75I8726VhxDtYOdwmweSiYXCMa830xjucvKiZydMWpb5iLkWvPurHv2QKwsAiOIkiB81OIY2QerxMR6BhtBvC/OAuxjEuBuwnDsdgCEd74DuF1PwrsFI35nlX9ylFIPWEHUkPxMGLcH4tkmp5DZMa9TjRNQ+zlY6xpBj0YDoohbb66G0LvTF31jYdW2XSg11VQnKMX+AJpFJ9iaEuUboSGkDtfzN6DTyH1rHZKqy4kKzPuMBx0WxhUnFeBaxFRpG2Qes8PDE68HSqwj2S7sZ+LThHQX4SCSUulXBNGPeKmwI3IPPsR+HvFQOk2R72z48xQMHl4KJhc0+kYeaABe/ppJ9CUCkQKVrxdklD9ymzVrwRUv3JCbsZD9SuzVL9yrupXblP9ym9Vv7LqKE7xLc7BqbZRHHMSkxgv3IHUV9cgz3Y5Ygi+0lHfXHAjdqPF0z1I0GSq8VdhHPP6ooy4MNxMRuwiG73Acy0N7WqRz3cY9mskFuMA2S8vyqdGzxDxeAUp6ShHjP8KxEm9H3t9BBNnhILJ3R3ePx778aeBnZFAcYhMe4YaZA49btAFJxKc9iM3oDS21k0fx/N34xw4yFuJNE/8Cgk8ZDvtvYhddjViC1rhk9q2phEFA1OBSBqxTX+OKDf/AwlSrJcKRL4e/bBHhBO9th8YzV691DCRM4tODlMfok5oi1Qgonni4TuQSVKe83YvRar5SwUig554+CAkw3IMGeWqe1OByKgiktGYb1EomLya4dkskzIXG9Og8xvDPGRxDWW/bnDZr8oZ195IjcBcZDF7GLjPm9Dm53EqP/A8snmYGb9uJONznfkhb0JbAFznhevWvfmcHfbteO9ptGH31Q4a8JA3ofWqfmVT45xHGe/diVAQ10Z+69aIE3wNcK83oemqX5mNfWBFwaJ5qupX1kAc6M2M33KDN6G9l+d4s49TCpyPOGYzVb/yLZLJvs5CmSyE9PHLdmwrkevaAuwLi2tij0P6jdUC3yMLslUkW0EcZis40ZbMCKhjZj0ViMxBNotfGWPbE3m2zblQFgomnwCOisZ8o9mknDa9NNaG0ISAERy4HFkHzFYFiupXbkbmwy7IWuNGnsc+4NeqXznOm9Dybjti9Cu7GusIfzeSAZ7EJJY6OuqbvQjTIXetKkOMr4MQY7AQnM9wGwHjHEerfuV8b0IbTTnJqNDS0P59Y2vdLkgdeS1ClytHgsTHjsMpnZRHuxD9hGPJiI2UApeaPZfzwKFIcD+X0VOJOHKf4MwCq0TWJjsmmVOAQEf6QZv1kLnH3QJZR59zOMaSxqWIQq4VW01BWo2VNLbWPQec1NLQ/lUxT+5NaPNVv/IqEnDOtXvyLtnIF7VtTamO+uaNEAfuCGRfvhMJIvcDByCZY/P+mRlHf77nMBJDLxl/SwrvA2tgHYgvR3onLzOYsM5iKhD5xGiauTvDF/J+8msq2oQoDK3OUIW/jyiiAWRMxGdwpsUWit8gD+a5yIJXgmThjovGfF8W8Tx5w3BcogxfxNyIg2JGSk4AGlS/sp03oTlmJbwJ7S3DgWtCqALdSBH3zd6EZukcfHzSlS+rL199KuJMWmW2eo3xdCGO4i+8Ca3XON8iJPN2rScerkEWxJ2AF1OByNE2w3wRCQYMc6Z0cLlymqeqfsWH1FqUIBvZboBf9SvnehPajbYXIweGs/Agoopm/s5VgMsQAZoTc75yMtYZ0BJgD6M2bRESmT+ATDR2JeycJl0vWa//ycNU/4HXGsIs2fgQqQ2xggsoSFY9FEyui2Rzc+/pPojBkrfynlGzfDnOlJlSpG9TXlD9ioK02dGBNm9CG++WEichAYdyhq6BJyDMhYsYSkk3P3Ob6lde9ia0QmoxfodE+I9GjEdzzfl1NOZ7dFSjn8Qkio/dsWdB1CDGZqHO4nbYB5X6EFG5Fws85pjQ0tD+dmNr3bpIsHEl4P2Whvbx6oV7B7LHWJW3lCK2yDlIT8S1jdfmhILJqjwDeL+wOTaI7fAqIhToxN5Zx+H49yEMFStboBwJWtrZutWIsM9zDsdfomhpaH+ssbXuAkS1f4CMfWWqxprr/B7A642tdeu3NLSPptzJCScjtf5VZJzxHmRP/1MxTtBR37wPora6CWKX/xXYurataVHO57ZD9kKz/u9xoLm2relzJjYiDBcqAllTHo/GfEVRel9SmNCtMwxjvhVR/+pDHpqFwKGpQCSvZpVGL8XDgCPJRCweTAUihYqdLBUYxefrAguXNr9Z9StbIA6xVa+6XOjAC96Etus4jsePOAQ1yNz4CHE665FN7X3gLsNBHAJPPJzb764U+G0qEPmzxXlmIVGgIb97wOXms+oVe07d4rhNU4HIx8Zna5DMpBUtpgfY0JvQ8lrkVL+yI7IwWh2rF9jUm9AWU5JCwWQX9rWH3Ug/qLUQJT0n2tEQTNNS6cMXnt4HXAFcbPYDDAWTplNslY26IRrzNeV7DuN4NyIOsNXG3gusnW9fL088HEKcKScF1EtSgUheKsiqX2lAKDHmpt0NnF5IBq9QqH7lS0R51woLjXFY1XP0Apd6E9plhZ4zFEx6EMOxH3giGvMV2wiZxCRGjY765hMQVpCdc/d+bVvTRoUc08ii2AWVuoCtvAltQlPVx4JQMFmKNJjfmOEOWx/iKB+BOGXbIHu72e/u2GjM98AIx78BKeWwYud0IaySdclhMWUhjbTpONTm+NMQ6uaKDN07upA1+0ekxtUqA6kjv28dxCn/CgnG3lKMNhhjgSFksy/CXIpiPf5u4DctDe1XFfv8RklDEMnW9yMB2xstgsYFo6O++Tgkc5htO/QhWeatatualmg/yfFCKJg8BWECaoiNOQC8g7SjGvN1XJKY0M6iCaPX4iYIr/lVg4M8YWBw3g9C6CxrII26L4/GfA8uvVEVH6pf2QyhCNoVHOdiAJhp5awVcUwKwg3vdVBdHQJPPHwUUhdi5eScnApE7sz9znuBsi07S8pfrUgPlOi4UPQ0H06ZzUUbHpTuLK34HlgzFYj0qH7lOKTOxSqS2g9c7k1oF+X5265ENlKrSHof8BtvQlvs3IaCyVeQKLkVfkQ2wxuB/7M5piVcusbx839JCf1dwO+8Ce2KrHOeiyinDRrHVJBs6HHRmK+ggEwomHwbec6tsAD4ZT5S6IaS8vdIfYoV+oATUoHIXfmMS/Ur+yPqZVbz5VBvQiu6PLuhSOeUuUwbf3YR85u9CW3MqsmqX1kBUSX8Nt/naxKTGC901DevjaHGbYOFtW1NjrXSuTBq8P/C8MCSDnzoTWj1hY1y2UMomKwC3kTKGHLRjdT8r81wllc3sG005hvWRzkUTG6GMKO2Q+wiKwe/D1gtGvN9Hwomn0eyl7mf6wb2jMZ8rzqMf1WEbfZzZN3sRhzEq5Cs5VtYl1loiJ2S7SR3AfFozHem3fmWJBpb6w5GqJ92QfoXWxrad15yIyoMql9ZG1EjdwH/nPp65EtEo8Dq93QDwdq2pvFsDbdEEQomZyJCflORoMzrSzsQMRpMWBpqNlKByOeIAzZREUGKpc3NZmXgjlAweU005rtg6Q2r6HgHyY7l6yzqgAfngu0xwaACFtrr8A9YZ+CqkHqBxc6ikdkNaTPuPVtHL+kvnU9X9Zt8OLOXr6pmQqZe7HCk5cjKWNe/gEQGC5FkdxKgclu8fzHiqOX+ti7gj9GYb9CgohZY0K/jFr+lGrhA9StXeRPaIEA05vtzKJiMI5tBBfBMNOYbLRffqd+RgjiA+aAW5zoWLV9H0YCV2jHGa5cj2d+iwpvQ0qpfWYi9gTCABB+snsUu5FkdNVS/Uo0Y0Idi9DlV/corwDEF0lsn8ROC0dPUlQpExqvGrwsJTNnZLvkqXWfjbmT93pNMkK8XmfdHjuJ4Y0Jja50bYYG4gA9bGtqXRHDcjX1j9CrEibSrvTqXnPqxUDB5NBKQLcM+C9wNXJzVR/FQhLm0JuLYmWyy85wcRYBozPc1cGAomKxB1sTvojGfGWz7KBRM3o1kR7MDAr3IfMnNplYDJ4aCySujMd+Y7M5QMLk3Ul9eB/wPuCIa8/2vwMOMpH0x0dRcgcUBzxZEy8PEZd1r3f185WdH4rI2Q6oQJfflxlmMxnxzkdKqZRrLhLM4kWHUWZ3J8KhVNRAMBZN/HYPxPNGwKpkMVT4oBf6r+pXngeO9CW1cmp964uEKZJOfN1LW2RMPlyJRTjus6YmHS1OByIBBz3kO2FjR3ZUAJf0zKRvYk/Kqz6Bq8c+ZgtTG3ga8TWYTykUXUgfgCNWvlCN02mOxd+wGyWnMHI35/hUKJk9DajLNyFUZItZzpfHvfyLUlvzar+ganoG3TGcRxDhYFVHDNc87D7g9r+M54zqGtl/Jxg+I6FU+WIjz2pY3tVL1K2WI4WaHjVW/ooxT/WILsrZYUcNuQRpX1zB8jmiM/X48gtyL7BqZnYFXVb+y3lJoJzCJCQxPPLwjwqjYANA98fAnwFmpQOTpIp/qO2QtsGuy/WahBzQCM4ciwjknIWIr/0Iod+OyZ9mhsbXuICRDZgaBuhpb685saWi/Z5xPPQNnJoPdPqQAW2a/YNBCb8Y6k6cj7TbakADmYmX3aMz3QyiY3BShwW9nfO7eQpreR2O+TqT+zewfuw4ivHci4qydj9Rm/4BoQDjVtB+A0FhHhVAw2Yy0dzEd1PWBg0PB5InRmK+1gEM9h73D3Ym0JJmIOAsREhyyf+kl3bvh0nR02y3aNtDbUd/sQq7jFIRyPqx/Ykd984qIPdYDPF/b1jS5VxUBk87i2HE49tdRMd6PLLnhjA8MB+YVrDdpHevNxIUsFLsDr6h+ZYNi9iP0xMMrIQ7GgcYYFnni4cuAmENblEHE2LYrpu8jow53OFL/OGTTK9EVNv9mLT6f8T2aOw2S4TGLlZ9CDJrsRqwY4+tHJLxtYdBqn0BUWa02W5CIbBL4zFCnPRq51nefCLfdMuOhuxHRnjLglWjMNz/ru/9AsqcVjPT862lcwEL3yrxVcTgb9D1Ghd5ZgjhjhILJrZFalFWQuo9bTvzxwO+RGuHzkHq7D4DLvAnNTlE1G48gUuqHItfPhTje/cCh+VI3UoHIQk88/BQijJO7yfYgTli+0BC6p12Wd4CRmwqPFhcj93Ejhgp0qUAYMc6fJtPbss8Y776GevCooPqVzZHapNxnpATpuXgoI8zjSSw/6Khv3gBZw3uBh2vbmoZk+D3x8DbImpWdfa8HHvbEw/ulApHnijWW2ramdEd984VIAMyKFn7haI5rKEs/ZPwtFTS21u2FsFpy+9YmGlvrulsa2sdTaGoOI9Pe7dbA3PYDBzocy4U4gbtGY75hKqzGGv8sBQiP5cII8sYQIbABJHD7PnB0NOa7JhRMuqIxnx4KJs3gpBXcjME+DgWTP0PEybLvpWL8+5ZQMJmMxnx5lee0NLR3N7bWnclwQb8e4D1EOXUi4nwsGDnalC/KHUTIe8gRqOqoby5B1pMNEGpxLTK/Sjrqm68GLjTWBQVZF05AbAbz+yfVtjUVKno1iRxM5D6LSwWeeHhLTzx8myce/rcnHr7ZEw+PVCxfg/2iUoK94MiyhsOAaVj/1j7EWbIrSi5Fis8PKdZgDPGj15Fa0TLEWJ6FiNZcbvOdLZBMzetkLSZZ6AfuyHI0j8MmA5d26dR2Tl/8TySraBoduyNiO12IAWNSBh/BueEuCJ1zC+wdxQXI7zsNybTFEOnvnREBmndO/PHAKdGY76lozPfPHEeRaMzXg2yQz+Hk5Oiikq67FBaUrM7/Kg7nvqnXscA9+w1vQvsxFExehmzofqRO5ELgk/bSrf+BRDq3RiK4uwMPqn7lnBF+t2ko+BFn5AFE5joKrBeN+fLNKppoRGir2Wp9XUhEOy9RG1hMc34Ia+NnELjfFPwpNrwJrQfYEQkGtCJiQscD23gTWqchurE6Er29AKlFrfUmNEfKVh7YCftI9hSkVc4klnN01DeXddQ3P4CoPTcjWZYvO+qbwzkftVLIxnhtmGDYWFHb1vRXZL4vQgJXi5AA3TG1bU2OLbVMqH5lfdWvHK/6lQNUv2IXOFzScKK7R8fzxNGYrx9hpFipm3YjKphW65wpIpONGTg7Wqsj+9d44RaEyliJ0Pgrgc2BV0LB5MysoOMjyPitoOFQXhAKJstCweSeoWDygFAwacW0CmBfjpJGspZ5o6WhPY444S8j8/0rpJxmt5aG9gkn1qj6lRLseqEr/fTNflbX0XPnmoY8z4spqB31zScjz/bLCF18bSRTOxV5Ls5CHEgQ28+PBDmnZv3FO+qbdyjG7/opY6kK3Hji4VURA2d9JANxSyoQWWr1MJ54+CxECasCcaQHESO/MRWI3GH1nVAwuReSDbFyKjqBg6IxX7GpOEscql/5KxKxsUI/snnPQDJKdovkrd6E5h/DGNzIw9+1+y5NvyKTIctFL+Ax62Y88fAU4FFkwyhBnLdq4/9NykM30px8G/N7oWDyWYQSMwz97kFe83yc/mr63F5ERfXK7PezeuSdjRjeCnKdBoEGb0J72OY3/h2prbDCIuA0b0K7Q/Ur1yGUqVzKxgBwpzehBWyOsRihYPIRpP/UcOhGU5AsuHSNEr33yQF39aXAk1gYNpXpefpRC05wuYbbFb3AGkuS1uWJh6cjm/ZhxvkTwN9TgUhB2W3Vr6yO0Numkbne/UiEfAtvQhsvSfulAtWvnIgIQ1gpyWrA9d6EdvYSHdQkljg66puvQeh7uYGrLqChtq3pEaNFzSD2gWcNqEkFIkWvq+qoby5H1vQB4K3atqYRqeCGWvX9SBDGZA2A1OI+MppxNLbWbYnsf1siGbprgDsLqTU06hRNkTArpJH2EJ+0NLSPS41aKJgsQRytI8lcm1JEVTqJBO/KkXUhjQSHbwXOyGZ9hILJ7RAar5Pi9mfRmG/tcfgNqyLK5VY2SA9wSTTmu9z4rBthS23KUDuiG3gsGvMdZnOOQ4C/kblX5UjgtAZxhD9ArtvuNsPsBZqiMd91Nu8v8zDsnx+RPXM4dBZNeeOysAvX75AApBthJ5xW29aUAuiob/Yj7JmREi49yHX/Aus5pwNP1rY1/bzQ35ENY607EcmYrooEUC5H/JYJJbo5HlhqNFRPPHwAEikwqYq9QNgTDx+ZCkSSS2E8ayB00eyNscT4+4snHn7Mpmj/aWRxWp+hC1Q/wokvZu/FpYl5OAsLaMjDajYQzkUacXYKhuEkngOcr8PUQZdbOe+jx9w3rr27q6vE0i/tR7Jt9xv/vhXJdJkfzv7SO8a47gRuSwUi2ZHG+5E+gsMWIEV363OrOu8HoqlA5A2LMdQhWcxsZ67M+GtV/UqtjUqskzCLi8z199t8thTpcXliHnV0N2DXX8s13GbRXQoDrupdkU3AMvM56KpwdZTUM3vw/dy30ogi2E0jjKloSAUi85HMa2wsx/EmtC9Vv7IxIuRwBLL5/B240pvQ8q6nGS0MRdLdjPM+PRaKaZ54EMkyWKEP6cs2ieUYHfXNVVg7iiDr4W+RzAw4UxTN94sOoxap0Cz67UjmPDfIeLfqV7YaqS9wLhpb6w5D9hczwLwaojh9YGNr3eEtDe35RuN1hgYvc2H2I6Sxte5a4LctDe1FrZM2aKH+UDB5MdLDrx/4p1GTTiiYXBthNuyBZHv+Fo35XrE41L8R0bmNHU43EsPGFkb5SR2QskgubIesUVaGQeWgSzsEg3kUjfnSoWByD4SRczxyjfsQuufvrM4dCia3QeZQrgOT7Yishly7fqzvp0Ye2gXLMrwJTVf9yvVI643cNaQHFzfNbgvd0FHffBMyFzqz6w876pvdSOImH2beALAX9uuMC2FrFQxPPLwxIl65LqLVsTaZ37MWogWxNcN7Xi93WCrOoicenok4itmTyFy8/+6Jhz2pQOTHJTysY7GnXqWR+rVhhq6x4OyKRJr2JbNQPQr837IokWuD25CHxmrOlCH1Vfthfw17GL3oxjVIhqjKBZTqafac8wH1C7/l5C2OZ9BtecpBAE88vDLSFNhq8ygFvkgFIgcan63yxMOrA98ZkfAE0vupnKzfPejS9M9nfPdjd1nfm0hjeiv4sTeg0gjVMpH7xjcV055asW/RvqV62mqTKQGeMpxnp0W0xBjzSA2TH0eieYdQmEJqnf3ndXpc0+3GlJ+ozgSEkRENYd8LrOgworOXItl6MxtaqvqVS70JbdzqoL0J7QfVr4SR5svZ86wL6VtqFRyZxPKFVXGuYfMCpAIR3RMPJxFaXe56pwPPF5rJHy+ofsWDGPVWbJQy5DmzY88MQ2NrXQWy7+euxdVIvfQ+5KmU3NLQrje21j2AsCDs9lBz/TwbMbBPyneshSAa87Ujv4tQMOkJBZMnILXKrwHXR2M+R9EXox5wH4QqafdbVJvXbWEwRRLIPewFyj3x8AvAMalAxKyjtaOVAvBd9YLNPPHwyqlAZI4x1i7g1FAweRaSBZufW0tptEZzG+qqF2JfImLCRcbeyA2kpI2xrx8KJt+NxnwTUsm0SLgUEZrZkkzAvQsRGroIpAYZaxX02dhlJYejBMnyOQXa5+e+YAgjHobYh4uQIOjLZhmSJx4+FQkklGM/j6uBBk88HEsFIsMi5MWCUYfrQ1qLzQH+Ho35lqiPtLRqFhtwqHBllHLVnnjY5YmHy4x0caFwktuvAGbafTEa882PxnyHIBvszsCq0Zjv0Nx6sWUZ3oT2LkIJsFOWmoZEVH/DcCelCynCLtjINBrDnkjOhlyma6zUu5CdfrDcc0rJZHTXdRizC9jIEw9P9cTDtyKqaR8Acz3x8LV3bfJSPxI1elRHHxh0afS7B9Aq/u3aufP6FY774uXf1/bM/58nHrZa1DzYz6dyLBRlPfHwAYGtTojOKZ9a2u8a9mh2A7d7E1rKqIt0Utj9Fvv60cUwAhnXMrI0dza+R+hIlgZgmhJmaO1Wbw0AzxdwnklI3WWQoTUYlcBvjXqrs1W/8r7qV75U/cptql+x6pE2KngT2tWIOuRTiIDF60jJQGOxzjGJCY3vcW5DkW3ghRBjK9u5TJNpuF5UqH7FpfqVbVW/cqTqV35WwFc3xH6tK0FYJIVgL+ztmBrkeSkETQiDZyTnugo4trG1bpUCjz8EoWByViiYDIeCycdCwWQiFExun/P+2Qg76g/Ar5Fgr2pQPR0Rjfm+RajsVvtQN+JI5A3DpnuaTOB3GrIu7ga84ImHTWP+GR3d0v4bcGt8MnOOG7gs10aMxnwD0Zjvh2xHMRRMrhUKJh/AyBKGgsk3kT6Q+dqXPYiWQxey/4HY3DMRVs8HoWDSuq5vOYChmL07oitxEyIsdwiwizehjeQk92DvoOWiDKmrfhPr7GI3YrsuhicerkVsvRuRmv+TkMDOHZ542G0wDa9kuFCh3fmLpseRCyOj/znCYLgYqQP/OhRMHjpe57TC0qKhroZ9ZqQKcbryhiceNmmKIUTkZJEnHr4OuDQViORrCL+KZBet+pZ1k4dsv9FPZbz6Sy11eBNak+pXDsCIKufAhThmjyDKY79GqLnfIpP7zlEKgeyJLLTDMoNV6QF2+f4jnl1piI3cDYRTgUin8e+vcY44pRAnZoOcc5wErBON+X7hiYdvK9Hce62/YG7pH9ruoFTXqEwP0O9SShu+en2tB1b52e0ML1h/DQl6WGXTesnpg2dkQO8ecJdUnrH5MZz58VPs9MPH6C4Xgy43Jbp2RXlay95gfwv8FWtFwIsLuNYehjcltkOXcd5nEEnwoddV1/tX0D5Pz0inFIYamr3AfyczUvnDyCpehHUNRhWy8Wpk7v9RwKGqX/mFN6HlJfIxErwJ7RmWHxr9JApAbVvT/I765scQtkiu09hFphUPbzbP/PLDlQYvHVD0c36s0msf36Bv8Nl1+5MDJVyYCkTsmBejgupX1kNYOysjhmGJ6ldUYP88aoc7cLZ5vilwOFNwdhxmFHKwlob2rxpb6zZBMpxHIAFFu/r/fqTuclQqj6FgcjNE5KwMCUClgcNCweRfEQd/G4RZkL0vTDE+e7/x/kj4NWLLHWQcP41c/99FYz7Lmn0H7IzYHbl7ealxjn2BR6IxX99RF916WW3n9D+5dTdu4/YMuDS+q17A11PnliCU05088fBBdtmgUDC5GuJ8TCXjLGyBc5IjFyWIw1yFqFdnP0emgvXfkGdsuYRhhzxt/OWN2rameR31zW8itOKRnPNBhHl2PEKBriaT/e1EbPcbcr5zK2L7mOuB2/jegYgfsAb5J9MU7J/TMcHIaj+BZFrN8Zh7/m2/+tOvv+hZ8y43kGppaB9XvZel5Sy+j9xEK0N6EYU3cf8bQhM1L+JUJCK/rSce3tOhjUI27kUU36oZOkkGkSjqEwWOaXmFk+PVD8zyJrQnGMP18sTDZUiUV0kqZUqVQ7cNbWgGrgc4OhWIPGi+kApEPvfEw2+bx8v5ehfiKAYZ/rCXA/t44uFHgN1110DVpR/eydSsgFiZroEOB3/zX5/qV9b2JrTsbF8rUhuR21ZEQ6L2T+ac7zjzcwtLK/lj/f6UaQNUa/0sLKns1Nzuj1KByOLIvTeh3a36lVUQBTAzGlqKKIMV0nfpI5wXxX7kupYgDZTjAKFg8gDgPuO78udyvbVW/ysnItnKHclQsh9knChTyzGqcK7ryZ2vpiz7bapfWXO8FFon8ZPCSYgAyGxkr9aRYNTjGE2mO+qbpwMvr/9dyerGZ9j507IexNj6ihFltvKH6lcqgReQ5yJ7Td0IeE71K16DdWGHd5Dg4boMN0C7sKnTVf3KaogxuhbSR/dWb0Kbh1wbu+xrNzl9cPNBS0N7B+IsntfYWmcvQCb3YlQURsMAfQCxk8zrYBrL/4cEfBuxDiCWABuHgsn1ojHfR07nicZ8A0CDkRnZHdkPHjWC6oViZ+wTDFOM4z8C8MKaH/xrZteU39R/76me2V1DX8kg6sxv+GyFOWbO0Y3Unr3oiYfXTAUiVjXgFyLzOddmcGHfKiwX/QgL569YX8tSYA9DoXXUSYbG1rq1EKdqEfCvlob2EVlFywhORp6xSpxZDhXAcbVtTdd21Devj6xbByA+xl+B+2rbmhZnjI2a112w9n+qkcTT6zjbutnoIk+6+SiwAxI0GmKj6e4eute6o2Jw+juvIb+zvLG17iXgmJaG9nEREVxazuI9iOhE7kNn9qK73+pLVvDEw+shUbhcHnklQiHcBYmgOSIViPR64uGdkAVnNYw+LkhN2gHFVjtS/Uop4uAejxh+9wEJG9GTpQIju7Each2+MDbi1xHlKSsHoxz7Gr684ImHj0NqFF2AfuzWJ5b849UbyxWLgF63u5RnMlnFLuCMbEcxC0cii840ZAPQkI0rjtRi2NXSuTA2661+/ILStHUJj1vXXcgCtVhS3pvQOlW/sgsSBZ9uHMuFNLP/hYVRsw45G0q/Ukq/UgpQufP3H22r+pUtkWj1G8jG6UEMiznIc/OCN6EttPktdvgPIkawAcPXg27EeJgDvBaN+RbTi6Mx3zMGhWYvxHh7KxrzvW1crr1UvzIbMTLbvQltuc22jyN6yaxBhWAmIizxzkgfnMQknFDb1vRDR33zRgjFyoessXcCL9a2NZkLcjNieGcHL2oQyufvEGplsXAEmf6r2ShBDKq9cTDaDNGNQ5GesGXGsUwH+E5krR4C1a8chTjGbjJ14JeofmXfloT2UmNrXRLJDGXbH6ZS6FibpcexEyATJyaf3rVW2AphYFk5PFWIMNua2AcR+xHH2dFZNBGN+T7FuWwiH3Qa57VyugYxev8aeGtu9aKeF6s/cFJjdSFz4HjE3sjFwdg7KDpyf6uy/p17LfuQpEcfsg/aoR/ZPwveI42a2bsQau6AMQ53Y2vdCYg9WQH0FCCyNKFQ29b0fkd986YIY/AwZG+zm5MlxnfmIkKVTjX9K2MvggRSkvYa8EtG1lnoRTKXL4/wudFiWGBLR6drvevRqr9yI32+zTKoXYCXG1vrNhiPdipLxVlMBSI9nnh4DyT7VIk8tP3IQrx3gTLb+2E/gaoRIZHn8hzXJ554uB6hG9QBH6cCkaIbXUaE9FkkImouaFsB56t+ZWtvQiuUDlN0qH5lN4Tq5kEWofmqX/kV8hD6GB7l60HEL0ZddOuJh/dFOOSLj/1jWTWtq28z8MsvX+srQV/8cPe5FD6vmcWrM9cG2UhewkalMRWIfOmJh9dFnMY9kLqQ21KByH888fCfGVnNj5V6F6Lo1vGCUnl9ndzXvQntXdWvrIFERVdHNtfXbbI+7yPzf+h11XXO+OQZ7cBv3mpEnlc3Ip5jblCdyGa5xygcRU788cADF7pX1h+rucTd456RHqRMB1cPLpcbOCoa8zk1qS5B5sdRQCAUTN4J3BGN+bq9Ce1bhIJsi1AwOQ2hsx5t/JZ7gOvGEmVdXuBNaJrqV1qRa5sb4XSKbGssw0JCk5hYqG1r6kfE6O7Ofc9ogn001kZXBRJAK6azuC32c7sS+BkjRPi9Ce091a+sjdTB746oet4CvJi7LhsZxVsY6gia6/Mjql+pZR/PMYh65jGIAVqGOAm/bGloH6sAxUNIYHAbhu4L3cCZLQ3tIwmY2cFsam4FF0Lr/BBx+K32xVIkwDgiPPFwCeBKBSJjNV7vQWixVhhAnCYAUoGI5omHT0FE+ZyE4KoRZ/yaUDA5Bckm/h+ZVg526EfaJxyIzMfnESbNFsgcqEDm1UZkWmqguzR0pRuXVoVLX5ywLEGEgEaDm8gINmU70XeRUdad29hadxlw9bLoNNa2NX0BnNZR39yEXFOr+9mDqJPni3acs4YfIMywCDJHchNa5jlB6Kzn5sleHA0+J4f6rNV8jlb1NbgHcz9bigTNDkSYkkXFUmudkQpE/ueJh011srWQyNPjqUBk2BVYwuPSEa76m+N4miZE1Sh3EypDFoCCGrYWG6pf2Rrpq5T9YFYhSmRHG3+3Zr1Xjmxsp4/x1LnqiwD8bY0dSzvKp/5w7sdPfuWCtdKw8LWZa70XWX/firTLPR9p4np/Nk0zF6lApMcYfyLnrb8jDoujwtlXVSuQtmgnAZCGPrdNJsfIID7ndGwDtyNCAkOw/zf/0w/65r9lFjuXORjTeHpC9SureBNa3puy6lcuAC6Ymp5TfcTCU/m6ZBPmKuv0g/7h2xWH7P6Hqxtss9yhYNJUx5tNJuCxBXBeKJjcZiSlrlAwuSLyjK1I5tqvDZwSCia3jMZ8X+f7O5ZjnIvQUFYhc407EYNkKtaR71Ims4qTWDKowtmGmNpR3+zKykKOFR3YtyPoA37I5yAGhTQKRFW/UoFkGqoYrqR5AvZOgwIc0NLQfg9wUmNrXQipqfu+paE9L0dqJLQ0tGuNrXU/RxrYn4GwYN4BLmlpaH92DId+F/usygCyrt+OBOJz9+NB4J2RKKieeHgjpK51d8DliYffRIzql0b4ngsJ8J+HBFg/BCKpQORJTzz8e6SfZXbGsAu4PhWIDBlPKhC5zxMP/4gEn600FkAc5jmhYLICyQytS361++XA59GYb6/sF0PBpAcJnl6B7IUVQIXuGqDX8yD9K70CrjTobsq+24GK1IE9Lr30b4Yia0FobK2biQS/7ajC5nO5ElKasg4yh5ZJ1LY1dXXUN18MXMLQOTkILEASG3khFYgs9MTDdyKB2Fy7rxv4UyoQ6fLEw7sgVHKz9tiNtIc7EMkozh2P/rE5eAFpVVaDYfNpNZ+Cy9ZNmoLofBTdWXTp+jIXbBgCg4b6FtbGfiewfyoQeW6JDmoEqH7lG+ypCWbd31Kjo6p+5WlEZczKO/oUWVTNprNTgNe8Ce3LsZ7XEw9r2G/Og8AKqUCkqNfF2JzuQTYoW7h0nTte/wsr9S7CghLbDaxjZNPGMpadECfdBVRN6+/uuefVG2pK8qupX4RQakqRezcHeMSb0P5j9WHVr6yMLHxWm00XQpV90e5koWDyZqTOMtdw60cc8tOAUjtpcOP75nizMQg8EI35jrA792jgiYc3ReZrL/BQKhBZ6tn7fGCwEBoQSkwaocu9YfzlZlm6gKu9Ce03S3SQk/hJoqO+2YWwB+wUHT+rbWsqWuN1g6XRhvVe3wOs4k1o8/M8VgVi1AeQyL2CBA7PNPde1a/chohdWKEf+LU3oV1p8/6ERiiYfBzJquU6jd3AZtGY72OjncTlZFpBLELq7XeKxny266cnHt4AKVfJzcp0A/umAhFbVWxDmNDPUIewG/hdKhBp9sTD+yBZPS+SdWlOBSK2YjmeeLjKGLNVRqob2Pmod3b8GSJE40RbzUUXUBuN+TqzXwwFk1sgBn4VmJTBa9CmfA7urDiuVoq7p/a76k9OWv2Ky48vRI0cgMbWuu0RRybf9hK9wLotDe0jiUBNaHTUN5+A6DTMMl56FDiztq2poOCyJx6uRKi6uxovmSUfv04FIldlfc6NZI3rEGbYG+OYRbREKJisR7LXFUBN30rPD/Su9kApimVeQAP+3NLQfn6xx7HMOYuGRPJMYJGRLcITDycYKnADsnm8CuQrcLPEoPqVLuzpET3Aut6EttQyK6pf6cVZhW2V8ahD88TDi7CnGQ0ANePRs8tYED5EnOBcLKb8rdLzI1e+/XeqB3sp0zQG3AqV6YFOFxziTWj/KtJYKpEaobor3r57o5/N/+qXrvyK6QeMcZbkvPYkMr4h1031Kydiv0HqwF+8Ce0UqxMZAgnd2EdhNTKL7xfABdGYbwhNJBRMOj0DA0C1IZAwJhi9lMxNQTHGpQB/TAUivx/r8ZcWVL+yFUK79iAOtoJE8n83gsjHJCZRNHTUN5+FMEJy15Eu4NTatqbR9ta1hOpXzkToYWbvs0FkT/J7E9o9BRznCWAnhjqefUg5wFbehJZW/co5iGFqtU4tAn7pTWgFi9hMBBglAA8iug6mUqkO/DIa8z2e9blVkUCVySR51Og3aAtPPPwA1n03Ad5OBSKb2XxvU0RbwOp69wJrpgKRDscfNvR4KyABgJ0ZGtQ061SvTwUi54eCyRcRh6AQdHaW9oYe3uDNh4FvUoGIHgomyxEa9K7mhwZrPqNrvWtBsTRbuoA9Wxra/13guWlsrVsHyTKP1PMx+1y/amlov6XQc000GEGq6UB3bVtTwY52NowM+M7IfHgkFYhMyBKYUDBZifg4P9MqU4s6N7oshMvSRu8Gtm1paH+32GNYajTUQmFkgM5F5JirEWrDwwj18QTgPTKtMxYifVUunWiOooH3se/p1Id1k9IlCctWFQZcjNwHarS4A7mXudmqQSQbNC7nTQUiaU88vD8iu2zSgUEc91KM5+Sbyhkctc3JbDXvc9bonsvcsmpembnOm90l5c8XK1xnBEDuBFD9zS+Tf08nO0ri3gh149c571Vgn8V14RxlLcWZ86+QUZFbC/hbKJhcIRrz3QiLnU2nTc4UHyhGkfaVSKY193zne+Lh91KByANFOMcShzehvaH6lfWRAMcU4ANvQhttDdMkJjFaXIvQBU9H1mkdWR+uwKaGfCzwJrRrVb/yEiLCsi5iMF/rTWh5C6sZQmE7MnxNKDeOuReip3ArsnbmQkdsjGVWIT0a8y0AdgsFkxshTdPnAk9GY76+nM99jbS+KgT7YL+31Hvi4empQGS+xXtHYW93pJEgam4LBEsY9uJjwGYM36sGgCNSgYjp6BdsB2ukqz+e9e21yP7y3Wp/Cwcb2LERKRvInGja++C2NVsqEXGagp3Flob2Txpb6z5CypnybfEwEW3hgmHQ2ovSkD4ViLyH+A4TGtGYrwepwb0NoLH1soWIgFguJfuv4+EowjLkLCKbTyNDL86ByEK3USoQuQK4wmi7MDBBnUQTFyOcYqseeVFvQluqdZtI76bjGD4/dODVcaTIXohsNLVkNvJeYD7j0Nw5G6lA5CNPPLwxIpt8ILKh3IoUvC+mUqVdbl6buTavzVz80rbI3DxrrGNQ/cpKiPDCTkh9Tr6OohNKgdNVv3KhN6FlR4Sd+h4twpAht0I05usPBZNfIvL4+aAKuDwUTMajMV9vNObTQ8Hke4hqpxW+Qp6FMcGgIPmxdkyrkfqXZdJZhMU9rNRCvxcKJsuQ63IqQmN6Abg8GvMV2rJoEj9xGIbbeR31zc1IrUwaeNJQJRwXeBPaW0hQcbTYA/tg1xSkZ98T3oQ2V/Ur+yJroamG2oc4irvnrKfLJKIx30Qylqdh3wC9lMKEu7ZCBHqs7vMAQisE4LPpc35cfcEsSnS7Uw9H2p12/VjRpShpt1LdX756TV/FXWl03Y1rSNDWpZsi6JbmaJqxBURNlfdKMsq+djaDgjjPRYPqV9yIvXaMMYaHgL97E9p41/H95NHS0H5FY2vd/5AkwHrAl4gdOm72zDLhLBp9UU5neNSpFBHIOBoROWG8sk/FhDehPWZQXK4k0yOvDPkNly+1gWVwEaJ4Op3MYjuIZNrGKmJji1QgMtcTD2+GqOgdS6aO5IZUIDJvvM6bdf4U4iyeY77miYdBGtHbZcIqgNM98fCawJ9HWx9rRLufRua02SR5wPgbljU0th7dlelX6uRYViCCKIujcd6E9oFBxdqHob+tH6lDGmnRuQgRY3JSm8tGGlH1M+tVLkDurVXA5NfRmK8YwZ5VsVf9A2va8XKNUDBZilCTtyQTeFsNODwUTO4XjfmeW1pjm8Syi9q2pjkYjIhlAP3IfmZl/6QRhxAAb0J7UfUrtUgA0YOUKzy+PDiK44h/Iq0nrDJe79lkFUFagRyFOOy56EeCWvliK5vzQ0YF9UZPPHxI6arKzrWd03EPunBnfUUjPaDg1hC7c/H+miZNb8kAtQuns/MXG6C7dJS0Um61AZf+uBl9s5/Cpr6sH6ECjwotDe1qY2vdukjd7c+RoPpGSNuT7BKRLuCmlob2otXpG63fksD2ZJz4vYCLVL+ynTehfVesc03CGi0N7U8x+vY5BWOZcBaR/iF2fVGqES7vX5boiMaIW2Y8dHNl+scfXLp2ftpVOi2NO9nvnnJFNOZb6vVG3oT2tepXNkX6BjYgTtujwO+9Ce2T8Tx3KhBZiNBeCqW+jBeuQ7Ks6zt8xo0ox+3uiYevTAUivy3kBEaE7kHEocs+ZjnAIG69hLQLTA/SzWOzN2ZhadXAtvM++7W3c85FiOqZHfoZ2ofKxJFINOr/jEOXIvf55JFUVaMx3+2hYHIVJEtufnYK9k7rkPBqNOZLhoLJU4GryWzqLuD83PrGMeA7nJv5jkmQaBnF0Qx1FCGjnndHKJhcfSKsQZP4aUL1Kysg6+2GSNb81nEwPB/Cvg1DLzky/EampFhr0nINQ+F+BtaOWg/ODJyHkBKcCoau233A/5CayXzGUIawXpzaC5mlPhcOKFr1E+u+zZZfr8Uqi1YAYMA9yHsrpfT671fdpWqw/EEdvQZwDbrTNd2lfcyv6MQ7b7ZkI83IrUX2UOnxUPLjZgyu8JaGezA7ddkF3NfS0D6mrK7RnuVK44/G1rpKJJBrska+QlTWby702Kpf2QO4DFF27UXa5/zGm9A6EGXVHRka7K1BbJYWJFgwieUIy4TAjScePhhRWJxq85HHUoHIvsU+byiYLEE46NXA69GYLy9p7jyO60YevF+Qicr0Ikb9rtGY761inGcSxYEnHp6KqMDOGumzyIa4tcGFzwuqX9kJcdKsIqqys1VMozSt8eGUWu6s2w51Si3IfLnumeeb+5F6XivHKA1c5U1o5+ac04VkcC9EMktdyDN2vjeh5S3lbfSn2sX456bAb7DOwi4CVsytiTEyXVshG/ubue+PFZ54+F5gf4bTkbqAX6UCkWW+4L8QhILJfyMZXit0ArtFY77xbBs0iUlYQvUru5KhfFYha6kOHOlNaMkin+vPDC9r6QIe9Ca0YwAaW+tciPjFBkAKeGI8ml0vbRhqi+si/efeLpTV4YmHSxG9iF9hv0fqSH3pNqlAxHaNN1hktyPX3UwQPASclI8Suice3gtRN3dhby92AzsY7duGiOopaTclaTd9yiC46AJORqdp5c5pm1QNlOuLynv0rtK+kgM+2hJFz69UcMA1oPfWXxFNV6cakDZIXyNB2htaGtrHLTDX2FrnHu3xVb9yMFJznNum4nukfORN7MtQ+oCVRtP3eRITF8tKZtGk51mhE6Pos5gIBZM+pGatBFnoKkLB5N+As6IxX141haFgchbSHmADhL5yazTm+x5p07AvQzeqCmRhvCcUTK5bJBreTxaeeHgKoKcCkc4RPzwCjL48FyJZxhIAd9rFqgtXoHKwjAXl3cypWWDGMUuReppzbA84HCvjUHyuIIc+cttTYGivxzJgO4SCchCy4ecWXryGUD5zEUEoxeYcrEYyjNsaNJK8jKJozLcIoaMQCiZfQBzQVRj6vHYD51o5gobi6Sv5nGuUOBl4CaGQTUGc5x7EAPnbOJ53osLOgAKJS1gGLCYxifGE6leqgYcZWpdmBp3+rvqVOm9CK0qw1sB5wH+Rmp81EJbBFRgZmMbWujWAfyH1827EUB5obK3zjUa9ciIiFEzORhgtGyHskBKgPRRMHhCN+T61+56RuTsYKWFYBPwMyT45lSS4kHYXZyLX2RKpQOQ7YB9PPFyLlBF8ka9CpSceXsv4PXbjMFVQr00FIv8zXvuOrDmnudNo7sX+VRlwCy4q50xZsPgYq8+fheZK5+UsDrg0vp72o+sVZacLUw2RcD6/o1gYg6PoRvpT5l7HEkQV91c4B84HgQ1Vv3IQkn381jjeM0ad/SSWQSwTzqJhrF+ANBfNnsC9wAeINH7eCAWTuwBBpFHp+8CfozHf61nvb451PdXxyGJzXh7n2Bu4H9loKhED9ZJQMHkIksK3Upt0IY7DJsDb+f4egz9+CEIxK0Eia3d7E1pPvsdYXuCJh3dFWkLUk2kGfFYqEHljjIf+EMMdXKlzKjt/UY8LcOsu0i6d3pIBnlnrPbrK+kqAWk88vA4wPxWI5GPgvIszXZIZ/V3M7l3At5XTs1/WgW+8CW2h0UrhJKS/4QzgY4RC8kjuAm30WDyL4a0vKpBi6QMo8JkCiMZ8C0PB5FbGeY9Ggh8fAr+JxnxLRUgmFYjM88TDmyC/aV/k+b0TeH00IlhGlnll4NtiBCKWAv6FrHtW860coXsthqFcuw1Cw/4KeG4k6fxJTGIUOAznuutjkHW9KDDWxDuxqLNsbK1zIwHqOoYH355obK1bw6D/LbMw2E3PIuJt2Xbg+sBLoWByTaseuUbm7xWk7MEMvuWrxlmJ7E+2zqIJo0XGiG0yjFZTKyAZrzNx3kd1YwwNnni4LRWI3A7EEJ2IXFuvH6OFU87rLs3l7IMNujTcupue0n4+mJVCnfVtN8618xMNG2Gvhl6O1JV+iJQzWMGN1MWXGX86EtC+VfUrZ0w6jMsmlglnESAViFzliYe/QKSs1wcWIHWKf0oFInlTQ0LB5AVkqHIuJOvnCwWTwWjM9xdPPFx5mHvbP5SmlQrX8L2rCjgtFEz+LrcZa845piGOYvYDZ0ZJ70MoLXbQyI/uCIDqV6qQRb+eTIRsJ+DXRoZoQvaNGQ944uFdkOL6bBrktsCznnh4p1QgMhZ677GAu2KglF2+2JDSdMaGUHRQ+t3s/tlGPLLef/pxcTBCfSz1xMOvAoFUIPKF3YG9Ce0j1a+8RlZ/plzouFD0YZtUN4aUuDehdSIbXyyP37I3shFa9UmsQfpqFewsAhiZ8xNDweRJgHtpORahYFIxz50KRAaR5/H+0R7PcBJvQiLqg0CJJx5uBc5MBSJ503YnAGJI5jvXqOoGbonGfIuN4FAwuTqioLe68ZIOdBpCOJNU+UkUE3XYG6hVZClSLwHsjgjnWcljliBB46uW4HjGA3simbtcG9CN3IfDsG59ciuyHpRmfb4QTC/w85bwxMPTgGuAI8j0iVyIs7NojrUOEbepRWr99kCuRzViE3YiGcfZVgfpmDIft24d1xhwD/LqaiqpaYv1+PqA+ARX58+FG+c2GwpwKVJKZSVQB0MZAmYrruMRu+KZ4gxzEksSy4yzCJAKRB5kDOpRoWByXaRGK9uZcANVOvrV69/0u60o56hBt1ZZli6xi3IOIHSK/zqc6pcO77mAHxge0TNRjmSabKH6lVWRxXwKkgnahKGGfw2yIMYQsYCfCq7Cul6uCqFd7jOGY08DXGvNWxmXxTLqxk3FYCkrdU0r/a5mQfbc2Ql43RMPr5cKRBYb4kadx37IPPj8ymmeIzdbkHoXG6GaHqWUrytnmP806TR/QwIFhcLU87ZDoQbAMBg06iXqKBr1j2HgbGBmKJj8HnkGmvOljlvBEw+bUfgNGSqy1QCs44mHd1lWjIFozPdFKJjcHbgLoQsPIgZWC9Bkfs7IPDyDUPSyjeYa4JlQMFkXjfkma1ImUSx8hBjpVjToLoQBtKSwEfatNaqw75G8LGEL7BW+pyAql0OcRU88vCLSs9aRBTMC/jeG75rjKAFeROyw7PU43wb1IM7LJQg98hCEeXIRoiQ6F6nf/43VFzV3mv+s8lnnNl+va9bWAjDo0vR5lZ3pr6fOM9fLTuALrMtACobR8uhchBU0C/gcEa+5vchlS+9h39KjH7jXm9AeUf3KRcb5BxF7QgFexr4mvgoR3vlJOIsGK2c7xFYvQcp1nlpWBeSWKWexCDgGm9+cdumlqyyacbxa/m1pvzJI1aBdb1hKgZHaOIwUJf0A4fnnjqUHuC8a89mqv6l+pQmJ6oBsaHaGfxlwuOpXTvQmtAnfTmSs8MTD1cgmbwUXolS6DdJfbgVEcviuArJC/wR+vkJPTY1dPyaX7mJab6Xru5oF2S8ryMI+1xMPdyLtK2YiG9sA4pj1/r7+gMG7X71RK7UI6PW5FW5Ye3d012JB1EeBZuAlJydF9SsKkkU6G4mUv40s7v/C/tnvRCKGyxSMhfleJEJsbuArIsGhnyER6NFiT4YbJiABms2RDWE86y6LimjM90YomPQiDI3pwPsWjt8eSOAid7K7kDXwGPJskD2JSeSBB4Hrse4VpyHBjSWFbxGj2MoI6EccgGUd85Csl1V9Xz8ZtdBszMZelT4fdCMO2ljhQ5y63HHk3yhRMIAEc1Xgr4jNVoGUcfza4XiDn86c07rN1+vehbTV2gyY68J1w/NrfPCj7uJIZB63InOp1RMP1yO98K4EHi40uGjsb0lEcNG8Z+sia/AGxniLAm9CG1T9SpDhdYsaUqP6Z+Nzf1b9ShyhmFYgTuBW2DuLLqDWEPTzIbbMg8Dryxs11RDHNO0Rk8UYAN4LBZN7RmO+ZYmNBPz0nMWZ2ETFXLpLKdUUBUCd+S2bf7umVZNWHfgoGvN9McJ5Phvh/TeQxvetWeMpQwr8T7L7kiFlfDHW9EEruJBMwLj3KJwAGClaY2ZKKoz/3he41BMPb58KRD7P4/h3A5d2lvVWaaTdikXyTXfpdJda+uWm8TOFoZFzc7Mr9X/xElbNe3Xgy4oVeGblDcyXFgF/SQUiLzoN1ihSfwChVJmBiz2RzeZ0ZJPJVQPsQ1RfH3Q69gTFVoiDk2v8VAH7hYLJTaMxX951wDnYG/vgT6Vx3mXGWYTFmd8PHD6yCfZGYTWwNZPO4iSKBG9C6zP2t6eQeWfW+WvAfktYWfFh7FsNaIhjsazjXuyptGlEkTQX7dhnXO2gIfuKBpyWCkSeH+Hz+WB/htIcszGIjL8E2edHqqnUkXKm3HYf1caxcvscp5E9+A/RmO9L4Lnsg/2ZA0Counji4dMQxobpLKyBZHRvRjQzCsGeSFAyd3+rBn4VCiavjcZ83zS21pUj7BpTu+BT4JKWhnbLALDx+ZKWhvYhzos3od2m+pUupJ6zDrlOjwNnexPat1mfm0dWIEf1KyXYZ577EKG5fxrj1pE606dUv3KYN6GNmv0zAfErpO9kbmuRzZBA/2lLfkhjw5jpZssYXkIe9GHQ3Bo/VMlbn86cw9yqRQy4h7DoehFO/DF5nMeJ4gdANOYzldYORiIO3mjM90urovIsnI+90WqFRUij1qUC1a9sofqVu1S/8rbqV+5X/crO43WuVCDSg30fpjSyMFWRmfM1SObkn554eMT7ZRz/+E9ndqR1Kx4qkEbXv5k6Ot2DPb77kFILf9cFrNEzl/KMOGkJsmmPhH0QylD2fHEh1+B6hHJzPhL5TGPUrAE7eRPagOpXKlS/crzqVx5T/cqjql85VvUro40oLwnsjz0Nqcx4f7RwEigYRIza5Q1zkAyDFfoRsZtJTKJo8Ca0t5E6uhOQjM3JwGxvQluigZiWhvYeRF26C9n3QZyGHkTc7rDG1rpPGlvrvmtsrXuwsbVu8yU5vmIgGvPNRa6v6ZBDZh+4MBrzDQt4pwKRBYjwn5WNYl6fAcTmuAShuR+GqL+vlApErGogR4N+7Gvq+hEnOIHUWz+C3EcrlCLO1E5Y28IlyG99E7k2g4iK9lapQORLpwF64uFZSAauiqH2YDVwsice3tTp+xY4EnvbLw34GlvrFIQ1dD5i25Qi7JFbGlvrhvR+bmyt8za21j2OMInmN7bWfdTYWjdkj/QmtPuQ7OUKwBRvQjvAm9AcA+tGH+4XEMcwFy7E5q0x/tusj92LrBKIJQ1PPOzyxMOzDZp1sRDEOmtfARxvUIrzQiiYPDAUTL4dCib7Q8Hk3KbgQ5efGt9i98bWur0bW+tmFm3EI+Cnllm8H/Hqq8iiGOjoWndpv3uOUWumu3SeWes9Vp+/IuvMW5nq/orvagYq/gJcH435RlToQigSTlgbwKijyou/rfqVNQcp3RVclNjacEPQhahS7qD6lRAigPMF8GdvQvtnPgcYC1S/cgJwLZlM3sbAPqpf+aM3odk1RB4rzgaeZ+gCbTqKVpQSN7KYfuSJh3c0ZLudcMWi8l7lP6t8xhbfrIVLd6HgZtCl4cLV98KaH2i6S3eSD7dFado5qFaWHqRPKU0Dn6UCEceaVgN+7KOvGrCPN6FdD1xvOIH9JhVE9SvTkEzZ6lnH2BloUv3KOUiUU0c2ztcmCIXEyeEfMRgwAu5BakWs1ss0FsI5ql/ZC6l5qUccrxiQ8Ca0ZaVe4UFE0McKGmKMTWISRYVRMnHv0h5HS0P7M42tdesgTJ/NEaciYfzVkwlM7Q/s1dhad1hLQ/tjS2Goo0Y05rs9FEy+jWRBNgY+Aa6OxnxOrUFOQxz67ZE9ddD4/98iFMtqoCsViJjr3IPjMPRWJGhvtb+5gWtSgcjXsLg85S0kO5ZroLsZWYl8CtIy6w4gXQB99BDsA4zliGBeIUyXEuz3MZfx/n5IyUVu0LQauKCxte7Glob2Hxpb61ZHAutTyTjJXuDuxta641sa2hc/f8bePmJ/yxwcjuyZu5AJOPYg19LKPqpCnKvLCjxP3jASArshz/OKiN19M5KtvQqhWLs98fAHwKmpQOTVMZ7SUnvCgBvRwPh+pIOEgsnTyPgsDE79cIXutRMh3d13HjqLcFHe2FqXAM5saWgf18zsT8pZjMZ8/aFgcgfEuNsAiYKVaa70O0+t9e6muDL0Tt0F7TO+p33G913AgalApJDeSu2Is2YVCepGCpMdofqVtZCIXMV/K4789qsp0et+UNYpBZipfc62PX+ldrAt92vmQ12KPAh9CHXApEGsBWyj+pUbvAktVMDvKQiqX5mFZK+y6bJmVuu3ql+5x5vQPi72eVOByH888fAOwJ/IODRJhDK3msNX10RUunayetMTD3sQo2BDwPXpzDnMqVnA2vNWprq/nHmVnXy+wvdf9ZUMXIxc94IdRrVmZTZc9K3le3PLalhUUrEIiQIemOchnfrpmfcCEApYzvsRJKCRnUmsQX7/P8n0Hj0TeEb1K4fm25dxHJFEjB6rZ67PeH9USAUi73ri4dsRAyW3ifeNqUBkSBRe9StnMFSOfUVEuW8f1a/8sljOtepXNkeMtB2QZ78FuM6b0Lodv5gHojFfZyiYPALZ9BVkLpi0rPOc+rBNYhLLA1oa2juA35v/bmyta0SCi8ME8oBEY2vd7PFssu6EUDDpHo1wRjTmewfJ5OaFVCDSDezliYd/hjgD3cCDWYHWQh0LADrqmyuQuvJtkeDa7bVtTXblPC8ixv6eZYNU7fFRGTt8VkpvKQP/XW3gH5f+c8o3BBaPt8sTD2+LOCLHIvfOrIvNlylzPbBdKhA5pYCfNAV7J1TBQRXWqE/cBWlNMQ+xVx9C7EG7APATiB6BEz3354jTe4HxudxsahVwTWNr3f1jmcfehLYI+LnqV9ZBaJffI8JGTs7RLNWvuLL3xo765u2Rsqutyexvsdq2poL2N8NRvBkRnjQTCdsj10FhqJ26KfCUJx7eIasX52jwFfZJowFEu8IRoWCymixHUav4lq51W0Dph4zDCSJiOYAIH40bflLOIoDBM98yFEyuj0SbPrnyygM//Uf81d+jEwSqs+I3XYiYiB290Q53YxQBW8AsfLaE6ldcQBTpxeieq6xR8k7Fwe5BV2Z/+qFkHR6ruZhfdF5iOoyDCMX2BuSePmOcp53h9Y3VwFmqX6kw3r/Xm9DyoTUWgsOwryFUEKP74iKfE4BUIPI2EmFbDE88fD8SDbWjXZcAW3jiYW8qEFGzvleK1KccjlzjxZHJzvJe3p495LKtiDicXyO/bUsydIsRcfNauxB5914qcjKMAy73wMOrbPY8LtetwL2pQGQxBUj1K/sgm+AmCF3mLuA33oT2PTJvd8LaeSpB5sswGLWOx2O9kbrJXENTDntPhPbyh3x+5zjiNSSrvBtDjblu4IlozPe/MR7/VETp7Xyk7uJzxKn+R/aHVL8yA1ngrZ67fZF78sIYx2Le+/vJZO5XBH4HHKn6lR28Cc2Jzp4XojHfP0PBZD1wChKx/hS4MRrzvTfWY09iEssgTsS5dnkLRI9gicBwKo5Bnvs1Q8FkJ7Jf/daptVcxYLShKkr7nI765nWQ/aga2TP7gXBHffMFtW1Nw1pBpQIR3RMPH7reHOXXV94/5aKaPldJ9YCbNHrJge+WHwqUdNQ3H1vb1pQ2Pj8PaPTEw3ci1NRCg7nVwHGeePiaVCAyLEJvg5cxkhEW7y3ChlEWCiZXQup21zS+249kNk9G1t/1Gbo3dwMPRGO+TxtbTx+J2mja+wdib/tPRfrwqlZvGiykExC9gynG74haBf8NSuonxvfcxlin5X7OQEeOo3gw4tiaiY7piFjdoR31zdvXtjUVsr/5EEfRqpWdFSqRnu77OXxmJFyGsIly14tuhKGYTxZwF8TuBKBv9pPgsvxaFXBSY2vdb1sa2hdYfaAY+Mk5iyaiMd+HSGNRQsHkJkex49Y6eqUOzKmZr71d256aV9V5GXBzocpV0ZhvQSiYPAQRGHGRKdZPA4dEYz6nG3o4YphWALxReRyDFna75qrg1coTOXjROSC1lEd6E9piGqXqV07B3mErR5zRfuAPql/5szehXVjIbxwBM7CP2pUihu2SxOVIDZ/TJtGP8POzF8kYRnY3j3NUIzTfXVKByO4Annj4FqS9woib0zvTV+PBVX529S9TbxyBLMI6MFiqp5uuuPjZv+Z2MVb9yi8Rw8A8djVCPf256lc2QYrsf2OMPZuC2w087E1oX9gMpYzC1O4qkYzeUnUWozGfHgomD0Y2lDORTW8BQjEZM+3ZWANux1r4IRs+shb4HFQjUcAxOYvGxnsrw+dVJWJM+LGnkBaEaMzXThGV9iYxiWUYTut4eoT3xwMXMlTHYApiO+wWCia3jsZ8tvUqnnh4BSSzciyyR7wAXJwKRJxaghUdHfXNLqSucEUygUjT6flDR33zS7VtTcMc8FQgMthR37xj9mtuXGYA80Dkd92a87VspexCUYrYZo5qrqFgsgpY7XD3duo9G736DkJhzt5PB5Gskl0f4/uRNTxb+BAkq7Yn8H/A0cZr/YiNYma/70PE2KyyiyWIEwojl2xY2o2Go/gcEpw2r+PqQIPqV/Z2qi32JrS06leuRmp+rXozLjZxOuqbSxD9hNzPVSB02WOxF6CywpkUpvXhAn7hiYf3SgUi/8p+wxMPK0gN56LswL0FbkGyqieQ6VigIRngi/Icx3SybLfBKZ+C2zbh24cwv8atvvunJnAzDKFgcjMkCrSXC5fbjYvZnTPcP/9ks5lHvbPjq1nc+4IQjfmeRDKXFyIT+0JgDeN1J4TJmtjflGwKLuvbNE+pY4CKfuAP2Y6igSk4K5eZNIwK4FeqXzl4hHEVgtexF/1YhE1Wa6zwxMNTPPHwUZ54+DSDJgNAKhB5Dam1cOr7V04WTcJown4C+W8uJQhP/bEswZyTkc1lLhJlHMC+MH/wL2vvWolkrbZHokoreRPaMOU9Q3HseouxmY74qQYVZFtk8ehDAgo9QBzJHNqhDxG9KQQzjTYdSxXRmK8/GvNdhCzm1cDMaMx36Vh6LI4C2SJKuXBh3UeuUGyB/bysQjIgk5jEJIqLx7AXfSrDufdyUREKJk1nL9cILkdKCA6z+64nHp6BjPUMZM+aimRRXvTEw7uNy4DtsTlSImK1ZlYCt3fUNzd01DcPsWU66ptXQurorRIe1cA5Fq/bZbXygYJDNioUTJaFgslrEBvijdK08s2R72y/qLq//BmE9bMA2X9fBbZPBSLDBGBCweR6yPWwoq+WASdHY74Tjd+xGrK//S4a85l2zX1AiuFzVAOeaGloTzW21m2FBPPt8D2SwbTCCQx1FEGufzVwu8GKc8IfEGepm0xJQw/iIF+V9bltsKfwViMOcyGYXeDnQfbqBz3x8FawWATnPOA7pAXKAk88fLedKE405tOjMd/pSDu3XyP2/zbRmO+QaMznWLITCibLQ8HkX5E+2oufb5fmaIqWkge1dSz4yWYWs3AlwyMxZoSqmTE0co/GfD8Yx88LoWCy9Ah37dpleicVeif9VKLb+hbmMPU01j2oXkUM/3zucTXipD6Q71hHwLPIA7UuQx96s0+PXVQtbxhqY4cgG92riGN+s3GOEkD3xMP/AXypQGRhKhC51RMPf4vIoltlzsqAZzzx8J8RB28dZDErpNGvG6G73u+Jh18Abk8FIlFPPHw1sKNxrPuwduJLgMO9Ca0RKbp3ws+wX0wrEGrSZQa9eGfVr8xGnMjPvAnNkZ7kTWi66lcuwZpCYYfvvAnNyRFfojDaQoyZhpkNTzxcQaYNySumgIIFXsY+M9uJ1HyOFZU4t4opJIo6iUks11D9ShWiJrkzYgwnvAktXzphNmJIIKaUodmZbuCqlob2UdXrjRJ7IE6BFeulBsk+2fWm/BWwMkPXKbOO/WZPPLxuoWyqMaAO+yCuC1gPyao1d9Q371jb1vSF8V4t9r/ffJ+O+uZ1kezrHk9VzCi9efseHtyklz7r3XMRsnZaOa5diKNjhzsRh3uxvaDg3u3AD7f6+um13l1/Ts2CVYGvU4GIU8mP1/hNVjZHCSJChJEx/iH3Ay0N7X2NrXXbk8n+mXAjIkxnACHskwh9wGktDe129/4U7IOUKyPCT+/bvI+ha3CI6lc2Q0oydOAhi2exAuf9rRCbDKREZX0K93cqkaztz5GyskaG/v5DgK098fBGRi3vMBi1/cOo1CPgr8axh9gR5XN2pqfuHrNmMRcpDKbkeGG5dxY98fAGSERkFSSjdWcqEFkIixtn2rVzcAF7jLZwvBAYtQdh4Pz7pl5To+OmQl9Ir8soedN1hGExFLO0T9Kl9J3uTWhWDXRfRvqobUx+tMK1x/AThsCgHOyGqNptiSyApQjF82ALQZWC4ImHG5FIlIYsfIPIb8xd5LdGeO8HAKQCkSc98fClSJQntx+QKeN8nvHft+CskmaHckR2fW/gD554+GYwy+1x4Zztzfd5VLDPUJrvL4bRF6mQbOEtSOSyCXGYISMMkHtNhlBIlkd44uHDkQXcvOZlnnj478BJqUBkSJTw64rpF9f2znfbpFm7EOn5seK/OG/4y5Qq4yQmMV5Q/crayF5o1sMNAmeofqXZm9AKqptvaWj/urG1bgeE3rghmbXxcopAdTeyhZcgNLtqJIvxA/AeUiuczcgxqW12cGKNHY+9kzUbsQU+yXPYY4XKyPaJqaL5REd9cwuSjfoXznvpBx31zduS6dtZMr3XzRkvVOF7v5wTGxZYOYwp5HpvxdDr04s4Qc9ZnSgUTK6LlB/kXtNSYNYen228azTmy6XEWiGFvQ2gk4cwIhIUXjfnNTMQcAX2JRIA/21paHcKZjqxYgZHeH8xvAntf4jgjR3ewP7e9iIB/0LwZ6QcKPfamskUO1aUC9jBEw+vRFZpWBZKkcx8A0XqvRoKJlfBpvSpdO429M98E63m84zDmFYAenFrRzk4+UXBck1D9cTDYeA/SCTtKCRT+LknHt4o62PjKbmfLy5D6sumaa5yd9pVSrdrBdKucnRXiTiKetY80NO49YHBmdpnx3gT2t+sDmgUC++NLJZmj0gnOPYNKhTehPadN6HtjES4GoCtvAntZw61cnnBEw9vj2RrK5ANtRRxZKzmcjmwt6FmCkAqEPkTwiV/H+voVRVCYTE36dEGCqqMv7OR7OdUnBfTNM6Ry2w40Z36yBFdKRTehKZ7E9pFCCX2H8hGYIrbDGb9dSPS6Hlnz5c1GEp6CeTemfexAqlfGeIkb3rTGRfP6l90mGK/brxXDOEZIzt8JXL9s6Ej9z+v+xEKJtcNBZOnhILJE0LB5MpjHdckJjEB8SBiQJvsoRJkvzhX9Su7Fnqwlob291sa2rdEDPJtgRVbGtr/OFZDLRRMTkXKN05GaIYlSIDb3D+fCAWTl2d95RnsDepOHET0HL4Hsg/lU6NfMDrqm2d11Def0FHffEZHffPGxsubkV9QVkEybxFk3X0X2Z+tyl26EYGS2xEbYbGTUDnoYo25Cge/Y/kTVwd+gWRke8j02fw7sKdDtnVX7O2EGsSRzAf/Q+wwq2P1AFfncYyjcQ46O5WLjOS0P4O9s1mG3I8xo7ataSGSjcvtj5lGrsN1hRwvFYh8gOzXCxA7eJFxnGcQG9nJxutBRPPs6OfViIpvsbCV3blcukL1R6dT+UUDysJ1cHevQtmcXah5mb8MJQABAABJREFUP/xoS0P7f4o4Bksst5lFTzy8NSIrn52yrkYM+Ec88fBaqVhkMBRMvoJQBK3wwnhlFUPB5DRkAq+F9JgZuoDnZhJdizOMaVzup9O4wyfccL1jjYQ3of0I+FS/sgoSLbwAodLlbhZdiALrYqh+pQyhgPQCn4xW7j9bEWu08MTDVWT60oQojIbQi2wyKfOFVCCieuLhadgHSwYRrvnRCIWhisJEX0aDbuBiIxO+EZIJfMWqZtab0PpVv3I+maa/JjRkMbw2+/OqX5mCZHh7gdcLoIxeyHAVMZMCcwNCIVnelTF/g/V8qwJO8sTDF6YCkUWeeHj9dfs7w4MuhXL70tgNiziu3yIb2fnGv0uRAEjAm9BStt9C6O6IIXUgmT6k14eCyT9FY77fO313EpNYVqD6lY0RVUmrdb4KCSI/N5pjtzS0Oz5jJkLB5CyE2bQ5IoB2SzTms9oPT0acQytHzswMnREKJh+Ixnz/jsZ8P4SCySsRufzc9fkrnAOG/0Syi1b2Xz/jQGfrqG8+G3H0NAxmTEd984sI+6eQpEUpGedyA2TNM9dVswTl18g1WMXqAJWDLg55u5y7txgWt6sCelKByP954uGzEGrld6lAZCRl2V7sHQ6dHKfHYLQdg+gozEDmYDQa830cCiYPRBhwVYijOYDYI3/KySwPQ2NrnRtxfuycb7PllRX6kQy8Ey5H7IHcedMFXOtU4qL6lalIgOU7b0L7aoTzgNgeixDGXYnx9yZwQm1bkxWTzhGpQOSfRoZwL+Sav24q33vi4X8j/RZzg7x9wG04Z2MhwzAoBhyTOi4UyuZuTdncrc2XBgG7FjNFxXLrLCIKSFbhIxcwC5kcryDNtp/FWqGpaTwGFgom90faa+gMbSDvDHEg743GfEcWcj5vQvsG+Eb1K0ch7QXWQDIlZpHxrRj0OKNI+QyEq+1GFvZvVb9ygjehjVnyPx8YLSvWRTbOMELrTBtjza0XGQmlWFMwnTYABVkoLiBDv9SwrycYLfqQa/wWssHdhDh1A8hvnO+Jhw80ZMqHwJvQblL9ynwkK+0xxvhP4CyjdYZ5Ly9F5ni/ca5e1a/8nzehPeI0MCPAcCrDneQyJLv24U/AUQS5H3bzbQAJwvwPCMwvrVJKdEc/fMQmvLkwDN5LkRqlAeQ5vdSb0DqAP6p+5QpjDAtHchKz8Hukb2ju+nh+KJj8IBrzLfWm6JOYRBHgwd7QcyH74LghFEzuiKzJCrLP9wNnhYLJs6MxX66a43GMvLdUIHVjZs/n3yCZqIuQ7OkgUnbRFI35nBgMlyHZkNzWTt3ABalApKiCYB31zXshNN3c9WYXxsZuq0bWxK2RcqJu4JHatqa5HfXNW+Jg5Ff2Wy7pX2YFZ7uN4wY98fBs4B3gT6lAxEpt8lHsbekuxOEAFjuKjyNZadPJXwNoCAWTv4jGfC+Ggsk1kRrbnYAO4NZozPeR3W/JQgTJ1NqhB3gbEUjLvRcDDBWZGQZvQvtY9St7I3NsJeT6liLB6d8AqH6lBlHj/iVik9yFaCwcg8z/ctWvvA0c7U1oTr16S5AExp+RutYFtW1NBe+f2UgFIv3IvcrFyYgvUEnG0e5F7MY/IbafnQPeycgK6YXgRQpzPgcQ0cJxx/JMQ10L+9+XRoRIiMZ8ryPZtleQSaEhEZbdojHfm8UeVCiYXA1xFKuQxaIQx0dnlE1vYXGm8WfIgxxDNo2tvQnt9KzM4anG69PI1AqsDTxmtGQYNxiKU2citRqvIXTLIxCHpRJxUgpx1tLAxwYNIRc3A93lg6VUDJTmxtu+QwIFRyKLqtl+opKRo0z5og+pC1wpFYhsgyxK25D5nVMQY+dZQ+Z8GLwJ7W5kns8EpngT2kHehJZNJw4jWetKMvdzReBu1a9sM8L49sZ+0apBrs1PAXMd3ivLen/29xVTSz+pXhnN4pEedLn7gWsKObFxj15Fam6nICqvJwL/U/1KLYA3ofV5E1pbvo5iKJgsA07HWqigGslYTmISeaGjvtnVUd88Ue0Ip3o4jZGFxEYN4zl7mMweCrJeVAJXh4LJXI2AfAL3brKyZYbi4k2ILTMNqInGfCdFY775TgdJBSKfIo7Im4gB343seWemApGWPMZRKC7Aer0pZ3S6ANnYEik1uhxhiJmZ2TZsrumgS+eNumFbWxdGWwxDzTyB1O5vjezT+wL/8sTD/twvRmO+eUiwN7csoAt4GklGmDiKoY4iZBRF7woFk65ozNcdjfni0ZjvhGjMd0E+jmJja90M7BMkIPP9c0SwMbs0aSGyhx3Q0tA+YobKaI+xtvEbfgGs7E1ovzZ0KlZEnqnLgR2Q+3ENsmeZNkgFQrV8VfUr03OP31Hf/POO+uZ3EPuoDwmODo7VUXRCKhB5H6F734JkpD9DbODNU4HIvFQgsgDJdObe3x5knt1frLEYyu1HM7KdmTbG84dozGdl3xYdy3Nm8b/IpLRajEoQ8RcAojHfa8AOoWCy3Pj3mARYRsDJOPPGndDNGKMYBgXxn1ioMhotGX6PtZpiBRLBtJXkLgLOQKJjY+lXZdJcOpHrZTneQ97f+qMBt+auGhRboqu0lzdX/UzrmDK/F3Gw7sZ64R1EjBAv4uiP5l4OAn9PBSLfA3ji4S0Q6mkuBcmFzN//Q+pth8CgdhyB1Fqoql+5z5vQeoz3zKys1b2sBC5GNsDRYkmp5S1tXIPUAOZexzTwdioQMSk1LwGH/GmD/aqvf+sOKrQBKtKy3ve4S+lRSv+zwkB3oRHAmyzOW4o4jb9FnL5CsTLOQcJ1RnHMSfzE0FHfvAqyVh8BlHXUN78NhGvbmvKtux53eBPap6pf+TfSiih3be1Dshbjhf2wt69KgJOQ9dnEfUiA0qncoRcLqqCh/mypxmiHVCDyNqLkuCKy33412jZheWCDcTouDO1HeDywf0d9cxMwBwmI/4qcNTTtYuCBTXrTp75QyZ5qeanuwvXByoNv7Pxp2YOGFN2OyLzO3v9NKvANnnj4vlQgMiRoH435rgoFkx8h6/L6iPMdQ2jH2XvlKbnjycJ0hK48mvqzbZE5becsdgG7tTS0dwH7N7bWrW2cax7wfEtDe95BcCOxMIRVpPqVSuAhJAuYHS21egZMMcEAWUqhHfXNhyBZSzMhUIIESnfpqG/epLatyU6BfMwwVGpPM/6s3r/SEw9/gQQUvIiT3QL8MVfkbqyIxnxPhILJ3RANi0oy19NsvfaB8XdNNOZ7tZjndsLy7Cxeg9QK5DqLA8B7qUBkGIVunJ1EExsxuvq3LiSFPp5U0LWwL353I4W+4wKDenopY3MU30Y205WQ6NmdVvUGoWByhwrKHqjQMgvr1P4qdvminm+n/HjaC2t8APYLbwXiiD6GZN8KdRZ7kUheKOu1zbHPMFchm9cQZ1H1K3si4g0gC28ncI3qV/b0JrT/ItQWp35/244wziewXx86EWe6aAgFkzXIRnsiBs0VCU58hGRD26Ix37hFFx3wN+Bg5B6YIhndxt8xWZ+7C/jTt5XTq47d+kTXvt++yzbzPqNbKUs/u9L6X+30vbrjyVd8kLcxpvqVlRApciuUIuyA0TiL83Ces0vjGk9iGUJHffOKiEE7i8wasRlwf0d98/G1bU1LhMZs0Ow3R9aHd70JzcqYPBxRzlwH2dv6kfnfaKgyjhdWxX79LEX22mxcg0jzr4D98zmIGKhFgxmwHGd8iwSprDCI3JOx7PsmzF7Hf0H2bxdSD7ibcR4F+K4s7Tr3r3dNa9FdTFd0aWK9xjxlW+Cdq465dA/24H7snS4dEawZJiAUjfkeY2Qlaqdej5rV+42tdaXI/O1qaWi3EyLsxZml9nZLQ/tilkxLQ/un2PdTLAiqX1kBoUbnqrA6oQq5jjEAg51wHcOZYwqSnQ8hYoFLDalA5H6KmEV0QjTmeykUTK6OBDuOQa7DQ0htaz41n0XHcusspgKRjz3x8FFI/5s0skAPIkXmByzFoX2ELI5WTpmGLHLzkA1ubSQq14E8VLfmRKmKjS6c50RB0csCsS6jz7iCjP3KVCBy24ifFMdr2Oak6G7Fs3Dm2YgaqtPC2wvsSf5Ov47cw7mIU3FTKhDJbqD6A/a0Aw34JvsF1a/MRBzF7Ail6cj8y+iruBBnio9jIbU3oX2r+pXrEFpy9nl6EUfOseaxEBgZ/ReRiKy5SW+ERNvNxr3loWDyHqQxcVF7KDohFYgMeuJhH1LjdwKymT8K3JIKROZlfa7TEw/vBDzSVVKx8j2rbZW+Z7WtSpBal4NuP/+hQqP2pTirtI1q7Y7GfF2hYPJBxAHOXYO6yU9xbxI/bQQRkYjcOVgFXN9R3/xAbVvTuPZdVf3K5khrphWRNbJc9SuPAsd5E9rifcqb0H4wPrsDQvOfBzzgTWjzx3N8CD3Nbk3vISd7FI35vg8Fk1shwmF7kbm2fcga2A0cFI35OsZnuOOKK4Ebsc6ozUUyqhdTvPZd5WT25v3I7CGPIAHpP7lxrYA+xN6oAFauXeh+FnHY7VAFXOmJh1/KYpUUgmfIBC6sxv0/8x+NrXUuJCD4e4wWD42tdZ8CJ7Q0tL+R892XsWf7dFGk1g42uBLJKBaK+Vn/7UWCxFYoRRhiS9VZXNKIxnxzkQD6hCgNWW6dRYBUIPKQJx6uRVT/ZiFCIi8uwYazVmhBFMxyoSNRfU805lsqDc69Ce1r1a98BGya+16/S+H5Fb1zdo+HXaO9foYC6R6II/ZstrGNbIajnY+9CDV0xB52oWDSjRgNltDRN6tdNF3tmDLfTiq5E1Fg27KA8bkQZ25Tm0ju4w7f7UPqK7NxHPbObClwoDeh3aP6lbewVpvrQaKvIyGEKNleiETKu4zvXeRNaMUUQTgSCRbkRnPNvpTmxnoYslmPJxV6GFKBiIY45w+O8LkPPPHwusg19wAfGvUQo8E3SBDBY/FeGsmcjxanIc/4qkjU1lTse54cJd1JTMICR2IfKKtCAj1vj9fJjXrdZxluXO6HMB6GBIMN2txLxh8Aja11MxG17zlGlqXYeA6hIlYxPAiqIYyFIYjGfO3AfqFgsgrJsKyM9En+DlFmL6pd4ImHKxAj/8dUIPJdMY+dgzuRkodfWrw3DWiobWtap6O+eX1kDaqhOJlGE6VIXf/RyN5RhvX+WbrtF2WWCqo5mIXUL26QCkR0Tzy8CeLsfAm8MYJ99GdEAMYqUJcw6h9NWJXlbAQ809hat0VLQ7tqvtjS0N7f2Fp3MlJrmZ2dM+vqisoEMmGULh2JczsWK3Qy9BkYyab8qZS9TFi4dH3yHixphIJJs4mniwytcQAR1Rm3TTYfqH5li153yeulac2tGM9nn1vh+7IpnLrFsV1dJRXHpAKRBws9rtHz8iIyoillSIbvYnNx9cTDbYxc35BGRH7MJrALEAfmslQgktuXZwhCweRGiMBPHJssZhqdv2/8cq/u4lXEqSwj48R2AU8iwgXXksnm5Yt7U4HI4QCeeNiNROibEKNgERlnycwq9QCxVCAyJLKk+pVbkDpGKwwCv/UmtIjqV9ZHBFIqyRh33YhjvUN2BH4kGJuCNtoWKk4IBZP/QjK1+aAXWN8wrJZrqH7lMESpONdw6gK2HYsarSHAcRASSOtFDLpnx5m5MInlAB31zZ8hLSmssAjYubat6X9jPY9BM90dOATZKx9ABEMuQlrGWFEFe4ENvQnNUqyjsbWuEtkvDkMCcWVI/c+RLQ3tn2R9bkXE6awAnm1paG8rdPyhYHINJKizErKmDyCO4gHRmO/FQo9XLHjiYQWpvTobMcLLEBphIBWI5NP4vWB01Df/ChENsbpnPcDPatuaPuqob56BUO/Oxb62b9yQRmfr8+blIzvYidRI/gZhxJi9iL8FfGZbBiuEgsltEBqrqShajgSEzzEETkzq6XdIHWMuBoG7Whraj899o7G1bifgd4ji6UIko3tVS0N7T87ntkJooBrwUEtD+6jsTkM34QdGFirSyVxVU/jnYG9CS8NiGqpdu5N+4IbatqbgaMY4ieJguc4sTlREY77WUDD5LMJFXh3JeP49GvONJ80zL+y+S9OPnu55/Q1f/rtiqx+/oN9dwuMrb8QDni3oKimvRhycBws5pkEHvhBxWrKjXucg/Q/NLNcJyOZqqo+CLIwuMguNG4lGmrUODalA5Gmn84eCyekI33srZHG0NIjT6HTU/IjuogIRRfgAoQvtiGR9rwPuQShYN478y4fhEE88vGUqEHkTiaodTsYRmIIYOnOAr5Eo5XWpQMSq99GHyAZrpQzbg6ie4U1oH6p+pR7JZO+POIq3ALcV2hy+yJnEXBSyDg0gTvyEdBYNJsM5iDGqIbTja1KBiJOqqiW8Ce1e1a+A0HxWROb++8Ap+TqKxtyfBXwdjfkWGwzRmK8f6cXm1I9tEpOwwr3ImmKVXeyjCCqjql8pR0TYtibjNByL7JVu7GvKBhDWh52y490IzdNUuQapt3ylsbVu3ZaG9gWNrXXnIdQ/zTgXja11/wKOaGloz1vXIBrzfREKJr1IzVw9sq4/uoS0EZxwNZLdynbGdgRe88TD6+WUSBQLe2N/z9JIK7OPEAfsfMa/r7ElPp2lpXHl1SVAQQTIcunYawMveuLhNVKBSI/VF6Mx32uGGu5GxvffsVCwXQ/7spwS5HoOQ0tD+4sIe8sSja11ZUjQZVfkfujA+Y2tdY8AR7c0tBeavV6EUIlr0V0oC9fG3T+NdOV3aNVfgQsdKaHyIvXF3yP1ubeajiJAbVtTuqO++XRkv8y2azTjHMME/iaxZLHMZBY98fAUhDbVkQpE5i/l4Sy38MTDOwJJ7AuxP0sFIgXVFnji4U+wr0cYRKSWr00FInOMpvQXIgteL5IF/ARZmK0yeT8AtQZV0BKhYPIpZDO03YDSpBl0p3lynbdZWLF4je8EfpEKRIY1w/XEw+cyOkGee5DI+H+xdvY6gX1TgYht5NmQqP7C5tw/ArO9CW1pGyR5IxRMnob0VMonkrwQOCIa800Y1UUTnnh4DeANhB5n0nJ6kTqpzVOBSMHNhGFxhmUVoN/soTkSQsHkykhgYC/EgHYjFPjzozFfUdXbJvHTQkd9cy3iEM5gqEHbDTTWtjXdMdZzqH7lD0jQJXeN7EEyEOtinf9ZCBzmTWj/yn2jsbXOi9SEWa27XUiLh0+RAEru2toDxFsa2kcjKjVhYDQm/xLrvbAbuCQViESLfd6O+ubbkOC43T3zIyyhRyguBbUQdDcduOjHZ739qzBybrHb+MyQueROu5jRW909rbc6sm1q3T9GY75RKcwaaqXv5h4/C5+3NLTniiTlc9zLkcytFQ324paG9isKPabqV053d3qaq9TjK13pTBvsdNmPeu+aD5679n2fxuy+21HfrCBB/Apk79wesQU2RWzDB4BQbVvTuASHPfHw+oguw7oIdf4mQxl1EjmY8JlFTzxchWR0GhCjp8wTDyeBk8YpAmaJUDDpQvrtuIH25Ziu9THOSmDvFHIwo2eR06JWApwHnOqJh7cxeiIenXOMx7GnfJYj4gWWKrGhYHJdZAGy2hzThpPo/mbKPN6p/ZLO8iEJt0qkcfAwZzEViPzZEw9/yFCp7GuQxrZOQj3bIPQPu89UI+Ijts6iN6F9b1AUTdXBKsTJ1ICfOzmKql9RkAL+RYVmF8cRtyF03DLyo7M8O8JnlhauYbgBXYFkBf+IKL0WDIP6+7XqV1xG0+MeowWOJULBZAVCP/Yg19Oc+43AbGQtncQkRoXatqYOo+l5DFnL3EhA7/zatqaHinSa07E2lCuRfbgL6z1hEPv1YTtkjbRCNfBz5Pm1clYqgUBja13IaD+wrGJ7JPtrtR9WIdTbojuLSNnNIVgHBBWkbv8hlpKjqKPTskPP8896+3cnv97XbnL2qnXm1rLZt2sAVCm6+7fA6aFgsjEa843mmfgMCYp4Ld4zg+gFobG1bjayz1r9viokOFOwszjlzd/dia782aUP3brdvSvp1R+c0thR33xVbVvTMHu5o775QCSgWU5GhPJyJAPpBtK1bU16R33zph31zecie9eLwK21bU0LCh1nLjzx8InInl1inHsP4CxPPHwkQic+Bgn8/gu4PxWI2OlY/CQwUZvpAosdjSRi3FQgVL1yhFL3gsG9H3eEgsk9kTqvDxEaWHsomDxoSZx7ScPIfiSRDSUXPcjDXMjxTPEMJ5Qj3PxcIRcTTupkOta8fhObYN9c3j2vstN170b/5pU6NddRBDE8bKnBqUDk0VQgsm0qEJmeCkS8qUDkOoRW64S5jLwZjbhZeRPaY4jRFEKK5n8FrOpNaK9bfV71K27VrzQhTu2XwHzVr9xlKKsuVURjvk7Eib4foRZbUV51Mo20jwsFkzeHgsm3QsHkQ6Fg0pZ2s6TgiYfLEWPTak0qZQwOmnHvgghF+UdgkepXbjTqRaxwJOKg5jreVcBBFg3BJzGJglDb1tRe29Z0CDKnptS2Na1fLEfRCGhNd/hIGVIKkd0WyVyrGxwo84uwVxjWkWdrPYfzDmItOLUsYaQAYUGOcEd9c01HfbO3o77Zbi0y8QKSNbS6/s21bU09jKIfoy7/Mx2RHsRu+Qi5V3kH9LtK9e9v2b5nZ/Kjvw4gmgWLr+Ua81Zk82/WpCxdQlm6BEV3lyJaBK2hYHLn3AOEgsmZoWByo1Awacngamlo15E+hN0MDXD0Ivv3aFSrb8fZtqg1FFgLgitdcbxLLx32zLlwuxE24LDf31HfvD1COZ2F2PXTkLXkfOB6RNiJjvrmS4BXEFG2w4A/AZ931DdvXOg4s+GJh1dHHMVKhvbqrELskBcRqv0JiF36oVFi8pPFRM8sboXULORmusqQPnL7UkQJfyuEgskdGB7xqgLuCgWTh0VjvmHN7ZckVL/iRhTNer0J7dsiHdaPXNetkcXFbHR/RioQ+fcojncLkup3WojdwPaeeHiGRcb4acTps/p+OfCmw3HnYLNA6uh0l/Y7LY46mezdYoSCyalIvcF84IOcLPM9SHG+3XGbEbrDJTbvdwEPqn5lFeQ3zwXetBKW8Sa0ecjCmg+uRBpBZ8/jQ4GtVL+yiTehWdZXLClEY77vgF+GgslTEOc3d21yIXNwR+PPLJjfFNgjFEzeGI35mpbgkHMxkhqcXbY+H1yNGA5mVL7E+Pd2ql/ZypvQcoMhB2CfideQGqrxUICcxDIETzz8M8Qo+xZ4xonKb4fatqZB7FtEjArehKapfuVbJJNghR8RRej9kQxkLZJJv9Kb0GyFRZDslV2AuRvJfv0MyS5aoYwJ1ofUEw9PR2yhjlQgYttWwxMPexBRok+x35t6gXds9uAh6KhvrkYcJpPxVdpR3/wgcIpD1mcDrB24po765lsQJ8jSGdfRcVkM24ULraJj0N278mO4+9/s2uCmee6BqetUfHbonq7BKRtafccCvX/ZoUcnf0GdUoT9VGYMjs061qBEt5xalUAkFEz+HcnC9yIO0s8wBJZCweR9wClG0HQxWhraX2lsrdsaYS/tjjjDfwNiLQ3tjq2vctHYWrcSwsBywhzDSS0U22J/7UqQPfr5nNcvwZo5UAWcgjzf8xEV2+y9s9r4zMMd9c1rWWUs88Tx2CfLShkaaK0xxnAH+QvxLXeY6M7ibtg7GDVIke+4OosMly42UYkYtUvNWVT9yqlk6uYUo+3Fid6EltuDpyAYjex388TDmyG0lYXAI6lAZLSp/4uQFP+aOCuIDhrv525U1yFGQe5c6AEeSAUi32CPV5DxT8l9Q3OlUWc5+tc3mL2UQsHkaghd9niEmtCH0QMxFEweHY35zGt+NbLYWf3Or5EM2grIvPkFQ+dWT+Vg33+SL19zBrKx9CHGzTzVrxw22vtqSM2fwvDrV4YYWkcikttOx6gEFG9C63T63FhgtDX5HflRkVxZ/18NnBYKJv8ejfmcAgeWMJRp90IMn1KkTuKhVCBSSG1fJ0IbsqNc/8fmdUeofmVVxMnPvXflSB3wQUiAIhtdDFWfy0aakbMLk1iOYdStPUrGeNeBHk88fEAqEHltqQ4ugyhC3c5dC7qBK4zg2cPGX15oaWjvbmyt+z/E4K4gYyx2IZnKZ5Gg2lUMN34HgCdbGtrnMQFglOdcj7Sj6EfKc14GjsveDz3x8Cwkg7MTGfrp50iAuZKha0QpcDJwhiceHqJUno2O+mYX0nzerDUzjfmDAW9HffNWtW1NuRnELZH+glYeVQkSTL4ScSxyr70Guhtcw9Yz3d1L3+qP6YPTP3oKuMzdsyKVnzRUky6zdC5t8Hzrlr275fthA6tg9MAs10pd5Vqpky29HfK7cueyuaYfCqweCiZ3yS1vamlofx/rliOFohaZJ04lRleO8thfYgQMLN4bQAL2uTATEVYw93Q7B9SFONxbA6Ndr1ajMBGlEmAHTzw8OxWIfGvYKnsi93Y+cE805nOyQ5d5THRnsRdxIKzGqVEgZWKU2M7hvXVCwWRNbkRovKH6FS+S7Vw/561NgGeNbMMHYz1PKhD5H1lNYsdwnEWeeHgr4AhkI7ajlXaT04De+P7Xnnh4N6SP4soYTZgRIYJG83OhYLIEyaocY7x/HyJRfTCSnSxBNsg00PvpCnNc39UssCsgH0ACBYSCyQ2QyHUNmc3OXHTXBZ4++7wHNrtvw9dMyu0uxtg8iEHiBtJlgyXTV1sw8+wyraT/h6pF2vfVC1txcRBCwegCbnj45Ws3cImjmL0J1wBPq35lfW9CK2hBMsRRYjgHXQ7HxllU/cpGSAR5R+PfHwHnehNaUQVmjJrgPbGP6o+EcqSdSEHOoiceLkMc922QzcmFzKEvPPHwjvkGSIx+W+dj3eqiGxHPGA32JiOvnosahJqT6yzejsx5q4BFKeIoTOInCKO043GEGZFt3E1BesetbdMLdknjGmBDZC3Pxj2Moq7KREtD+98bW+s+A8JIbVQHEuD7e0tDu97YWvc3JHC0H/IcuxD66nfYtysaEcb6tg1Cc/0KeG604icG7kP2mex9YhfgVUPRtNcQ7/g3GbE683PrIAa8SkZt1mRumHTSc5Brc4PFubdDrl2u41GO1Njt1VHf/BrQZ9BLQe6lXRaoHHEmf4skCALGa4qO3olrsFOrnDNL6Vm5JLsuTncNkC6fx+A0tQxxdErKU/sgjmJBFVY36C7qEQeiEJQDfTr6PS6do3GmeDoFQCuQ67kNcr/GA1/gzH75gdE7i38FzsReb8AqoNPJ8D6phSCNdZsNSxgCmaciwf4yJGDSRWHtWfqB2aFg0qyLrjO+34dkj38djfmuKuB4yxQmurP4AIbBboE+xqnRaA4GcBYsGc+WAsNgZBpew76mowLJ5E0oEYtUINIH3O6Jh79AjBWr3nGX2FGhUoHIf4yG55sg1IR3s42aUDBZjrTd2IyMkbwL0gdpW8SpOxmJsH4LtHywYuqY9b9f5eSZ3VOU7tI+Pl1hDgsreqgYKNWr+ys+2ufTTc26zVuQhc2OzlrVPu2H95DNUEEc7IORBW1V4N615q00Zcuv1y7VXeBOu8rSLp1F5T3+OTXz135rlS/mAL3PPN+8OlIXaxX9K0N4+xeaL6h+xbXPTsGdB9wlZyAtWF5H2jR8nPW9842xOMEyg2YEJV5Brqf52zcE7lf9yhHehFYUp8PoR/YIknkutLmvCQUJJBSKcxHjJ3s+1iDz5SrEcMkLqUDkXk88XINhuCDXrBs4LRWIPDWKsYHMISeqjdV7TyFNwXdn6O/qBi6MxnxLTBhsEhMOWyEGvZVhV4KIMF22REdkAUNW/yTVr1yOOG4u4FFvQvvY+Zsjo6Wh/Q0km2P1Xrqxte6XCGXvGGQteBS4r6WhfVQCF6FgcnUkE1dHJpO7KBRM7juavsqeeHhjpA4sN9BZggRiD/fEw/9F1CWtgqGliAN5NVIDtqHFZ6qBizzx8I0W2cXdbY5rfu8f5vsd9c1PI6ygb7BfxwaBLwxK4RkGJfUYHX16n+fxuv7al7ZDdysVXxxE6bxNwKWBrjA4o42eNR4Al27+dkrmr1eoowhw7wHvlF378Cb9Z1G4Tdw/s6fmDTfujRDbZLQ6IOVIO4t/GwJllcD8YgkptjS0L2xsrbsTOIrh966X0bXNAKC2rUntqG8OI7Z6GbIX9yH39bCsgEE2bkH0FkZbnlGKtDYbEQZV+w3EFjN/++rGMewYOFYoQ5zufzB0DTV/wx9DweR/zB6qoWByJpIgmYWo3z8ejflGdY0nAiZ86wxPPPx7pLdfdgSgC7g7FYiMSl2wEISCyTsRml6uw6gDT0djvr3GewzZUP3KlcAZOKtGzvMmtKUuXGIHTzx8CNJbsQy5jiUI5egyK9pLPggFkxci2ZvchXAAeDAa8x2R8/nNdfRnNVd6SomuuNKkSbt0et0DeqVW5nLh6nLjUpCaxcMZgbKwoLybR9f7r/lPHYlGbwrstkJ3zfV7frpxZW5Ng0aa7rK+j268/PD1AVS/cgiicmYXcfsUySavAcQ0XPu60N0fTanlL2vtwtvTVx8wfu/hqUDkn6pfqUAi4sMouFnoBALehDasNlP1K63Gb7cKlnwGrGNVS1kIQsFkKRLlq7U5T77oBn4djfmuKeRLnnj4W+PcVugFphuBjkKOWYrUgmnAe6OpBTNhUIg/x3pT7QSO8Sa0YcIiRpb9FKTx9opIEOL30ZhvMqv4E4YnHj4JYRrYRdSTqUBk/yU4pOUaBl1NRdbs7PVNR+hrddGYb1Ehx/TEw6cjte92Dlsr8szvgbMhbAqj2a27/cDKua3KOuqbz0P263wCe2nkd26GUPFXtPjMALBfbVvTkHYnql/xIQmBzFzVynH3TyVdughKhrPpp7zxe3JVOUeCjk4aevc79Uf9hxrd7poOQ4mmsGP7eoO1nTN0N65eZJ/Ndj76kGuUjzPSizjumyNaHCDZvt9GY76/5TsmJzS21lUgGWmTcqshttf5LQ3ttvtmY2tdDVKOlAZebmlot9Q3MERnTkWCvv8Fbqpta/rK5rM1SCB6bQpXwO0HXqttaxomnGMFTzwcxbovbBpxaPsQJ19H2resgLVD/eBR7+wYxj6grwPJaMx3QCiYPBoRxtGNY3Ui93OXaMy3+JqEgslVkWRGJ/Cs0f94QmKiZxZJBSK/9cTDbwG/RiZWCqGh3L6EhvBrpLZsOkMf+jRw8RIaQzYOZOT2An0Aql9ZC1mk5wIvOcntL0mkApH7PfHwwwj1pAz4TyoQGSul+DTso6gHhILJqmjM1w0QCiYV4FEXrqmmA+fGjVuHas3tMmodzA3qMPJ4Tqr6y3HpoMsMMfsvhYB5G3y/aqVbH75fKLipGij3hoLJumjM145sqk4byxoYhocOLsUI1G6wqIPL3r2PS+oPLH1t5lqlwN2eeHilZ5yV/Uy8j9TrWGFf7A2JVRABirHy9A9CnOOxOIo6MudvHcV3RwqqTKVAUQuj1vG/I34wD3gTWofqV65CaD7ZBn4v8B42lNJozDeI1PpeV4xxTGK5wRzs20cMIvVHP1k0ttZthKz5lcCTwDOjFP0wsSewEsPXNxey9x2N9BAuBF3Y30MdodHOxHkv6Uf2m0XYs5R0rNXAHwB+n8c4QYzwGiRotT/ShkBhqIOgI4IlVwEXZImWnEVuUEPpI11pvxwPTlMpmb9BQdlFFy7c6BXBZ6r13xyQf0XRTu3rs2LXtBK3XGbTJnMhtuFnwJ0Isyff7NkZiKNi2hurANeEgskVojHfqKnXJloa2nuB/Yw5vjNybx9paWifa/edxta68xE7tx/5be7G1rrzWhraW3I/W9vW9C5ih42I2ramzo765m0RMcUTEDvVygboMc47gFyXNJJRPCSf8xgwac25MCfJscjzogIvIwGUy5D1sNT4/zcQ7YCtkL3X6p66gPVDwWQ9kgzJtkenIHM+CWwaCibLkOzq4ci1BSAUTB4fjfkeLOC3LTFMeGcRxLlA5GyXBr5BBFKmMdxZvDkUTG48xtqDQjGS6EY/cLfqV5JIZNF8yLsNkZRhPQOXBlKByCDF5ec7tddII/fP3Ph2xUZox6IoPq+FvkR3s9fHm/LU2u+QVnSQRWY/4OHpvdW4bTYvzZV2zavs3BZoR+TF+7DPBCpI1G7YKCvSg5z18b84eoWTweXSEUfvbZyjv/OA3Ryk5p3mtamSO1ZsiXPm8wekdmYdZNFOIwZEGrmfCkIrPjga841GgOkz7J3qfoaLLS1RqH6lCjHMPkEoyHVI9PMm4FKHezeJSVjhceyf637EyPnJwWgZcCOiwliKrCunAR80ttbt0dLQXlD2LwubYr+HVCM1g4U6i48YY7WCKf4xEjQkAzkdcVJyjekBRDxuWKajtq3p04765uuQLFI+NV9lwKG1bU3nddQ3r4XQ+HYm4xyYe9SZSPDyDuPfq+Zx7CHoW+0JShaug54uLdhh3O3jMpeSBi2Pr03trWTFrqmU6JYf7gPi0ZjvT6FgchbirDhlz7oQW2h7htvk1cDvQsHkDWawO180ttZ5kH3zq5aG9sXq1y0N7e8hgcaRvn8CUtJUyVDH58rG1rqOlob2MbXKqW1r6kZqYm/oqG/eCwlal5G5Bl3IenU8YkvNQjQJ3ihQBdUpW6wBb6YCka+zXot54uE7kUB2DfBCKhB5EyAUTLZjzzLTkX36LKztLgVYOxRMbo7Q/Q9laM0xwJ2hYHLnaMw3KkG88cS4OotGW4e9EC73HOD+8VRTHCccgDgiuatCKVIQvScSgVxSuBWhgNhFDTuRGoSdGToRpwCPqX5lQ29CWx6jxx8iG7MV+hiaHVqVsbUyGAYXLmb11nDIB1vw4Ab/ZVBJgyw023WW9TK1r9JSnc2tu3hr9ueHe+Lhd1MJrU31K0cigiuFKHUBMGOgm9m9C/i2cnoJsrCujb2z2ANcPkLLjPsR48lqnfjUm9CsVM4KxffYN4nuAf4QjfmuDgWTayG1hYuQ6PRsRM3xW+CtMdR2/B5oYbjR0w1caQQ1ljhUv7IdUjO5hfHSf5A65NfGSv2dxE8XqUCk3ygDeAR5rssRg6kP+FMqECm4hq7YMES5NkIM7He9CW1EI7mxtW4aQrs+BjHK7gGua2loz5cVcJzx3WzDsgaxXa5DDNbRoAO5tlZsoH4gZdQ2rQJ8FY355o90wFQgMtcTDzchPY9H08Q+DVyeCkQ+9cTDlyAiWmuRWQO7kCDd2Q7HCCGG+w04B2oB0Enrql9ZrWpaYE7JgvW2wjqLVI1oDJjO4htIIC9v1km68ju66m+g4ksfysK1ETNJmKEjqaO6dSgdBC0Pcu0qC1foduvucpuxVQJNoWByCyR7NAPJhA0YgylH5kUNEvj7BClbsHNqBhGq4jMjjwwaW+tmIAq4u2JQYRtb694GjmhpaLekhVocw0VGaT8XVcAfEJHFoqC2relfHfXNmyOK8zsgdsF1wH2Gsu4/xnD418lQb3OxCLEhhiAViHyHETjzxMNVnnj4CGBFNuGthnd2+I8L17YMt4t6ENbj7y3eM6Eh99qP9f2uQMqpLGuqlybGzVlU/crqyOReCbkAfcANql85sljCGEsIO2Gf+ahBHuIl6Sz+C3EW7fAdGUcxF2VI9G6J9aMzivFPQwRD3kLaUXw+Dqf6HUL7sFKi/LNByzPRzrjMfRdlWjknv99Py0YuNLeyArDCh7O+ZuXOacP6MKVJs7C8hx+qFx0I7OuJh+9jlyb/M883hxHp+IKKL2RLFD9CSWtvIvPSbodcSFaPRtWvbILUS8wFnvQmtD6kF9LBDKeJdpMn3SQPtOJMabobIBrzfYZkAU3k/nu0uAupAz0PWchdSGDoHmRDXOJQ/co2iEhN9lzeGlH03Q3Z/CYxiVEhFYg8ayhlnorMq3bgxlQgMiSa3VHffABivK+LGLd/BuIWbRGKBtWv7IYoM8/E6O+r+pUI8Ee7IElja91MxHFZmYwBFgJOaWyt26qloT2f4GgI6yxZOXBEY2vd6S0N7aMJdD+AfRYwzf+zd97hjVRXG/+Nxn07C7sGBF6aANFDbwklQCCiJIRiyocUikMLKMRCkJBACERIEEEggAkghWYg1CA6BAg99GZAVIMA0dldd2s03x9nZiXLMypuu4De5/Gza2s0c6fde8p73iP2QztG+4uAP3EL0FZKYT3lC13kjAVfRwzLzRBbpJxUWhY4MeULXeiMBRcg9avrIPN7H1If/XfgaqOFliWMzM4NaXdkT4RKawtdyeiDKz68KvBm/2o390x/8eQ6xd7/W5D3/3MRml5FDnG26VP61rlCum3oCo7+5Zn22oklv/fZjCwDxVfcXuDrjT9ZcMG6n698piKaBnaYjayduyEq7msjiuK9iA23NmIfz0cc9WIBwLJZPIaTdz/ikNSRswM3Ax5v62xZq6O1u5wa/BmI7W4HdznjqQTNXe1vIlTPicZpiC1kZRuelvKFbOczZyz4U8QGMbU1tNvXebZ7rzc2+8iBshxynYaQ+xMKRz3/CfgThyDKtlbPh/mODmHtLDoQqusyh0lxFo3I4D2MLOo2X8Mbk17V7Ypr3ZNx7EnAlxgTucVng0hkaCpRi0RD7ERQlsO+n04dRguEqUBeIX4t8qxtDxzjjAUPSPlCiSLfq0FoBz9Homo3AvcXe6nDUc9tAX/iNMTAzyATbC2SiT27YPMUsmiOVbnMHopCT3YLDv7gQq5aID1wP52xkDeW/5h1vlgJh67gwMGwI0PGkeXRBa+DXJsa5HwXnrTh/m9HXr7RmuBSBItrGvi4YfYQ8PL9j/51HYrX4/W74lpv0qvORqStN0WuSTZDrX7xsade9v6c29euzfY+tXn/VdPXGbpvcwfZGuAxIOiKaxPSjy0c9XwU8Cf8iCFqRmrNTMevw1HPRGQvbWEIKp3mjAX/jjxzNcizNhGO6FhxHvYR3XORYFAVVYwZKV8ohTiClki7I6cijojpQM1B1DN3Srsjh4yjGbYtkl51A6Smp/DZDyJZmXNsvvpnJDOXv0Y3IPP/3xA6WSlYNoM3kEGM+oqcxYA/MQtp7fQZOSVU1djfMEJx/xEjjfqfAwsC/sR2pdgSKV/oQeBBZyx4CsUDbprx8yZwXMoX+q8zFlwRcbBnk7PRmpAyh4XFHMUC3IboKFiWdehk0Gt6laHmx1WgUa/pa0TJgnUDe3S0JbR/V1x7NelVDwauQq5dA5WoZStZI7GYE70crBtC1VRqtJHHH1R1Lt6uzzK06sgqrPbNvI82SK/6XGOm7j0F5XeUx0wy+wX+EqGivocEYAcRddzZBdsWw5NlHA8kK7c2o69TjXG8nyMB2lLop3gZylS0rZsQpHyhx52x4IGI4EwTORGiP6Z8IVvavTMWXAOxPUfMR311g64bNnji+dZXtv0NYk9/BXSGox6T6vs3RBSzcB7LImVtj1L8ObatIV2amKzM4laING2xBqzBSTr2ROM67Huk1QHOgD+xYjjqKdrdfQLxGvYZJw0R1tjW5nMd6wapEw7jRStUbKszfq53xoLNVguS0XrgEUSaeDoy5v2BZ52x4E+KKVOGo56/BvyJKxFaTS2iLvVxwJ9oCPgTP0EMnqeRSXuAsVF4SiKj1HFA6jmubtkG3egj/PKK3XTP+ZzVvppHvVbDZ9MX8cGsL9AcI+bjJuCYF+a09D40bx3Hdp+/pdfrWlmyzsOKg7+vudMQivIEQmEo1azafIZuQrIL9QADynT+PSNMn2O5doBhxzT+1+Tl7bod9N17/vhALYMBV1x7scxLURbCUc+lAX/iaYT2tA7QBVwwFln5YnDGgjMRo/KTwv6JKV8ojfSLWqpIetUaivd23TbpVWuqtYpVTBbS7kgzEo0vNIinIY7BZPWD+73FMc3jnpr0qucbjIdCHIJ9jdAebZ0t9WVkUz5AqK9WUJHMatkI+BPzEGdseXJrYAZZd65HKJZmq4F8NCDlFFsjapHl4BnEuLdy2BYjIis3pnyhfCP0t0hWpNBGawIucMaCNxSqOKfdkRUQkRovkm3+EMlMvm/8PqKUQCebHV7heQad9zqoMaodHBmGl3uZ2q82HKVaqjuGGJr31Bf5f3PFtduSXnU+Eig41u4C6MBHs+t4Y8UmMg6F1b8YoGlQ4/mW6Xw1bZiGLW9i0YweeqeLXsoa767CHvf+kOW+noUOPLGazr3u0UKUDcO17Pr2RjRm6uarumMvxh5kVpAM4sVItrFc26MPCZqWq5K5NfYlLDMQZkpJZ7GjtXu4rbPlNsS5LLQ3xyomZ4m0O6IgTtcWiON1a3NX+zcTtX+AlC90hzMWXAkR0qkDXihD5dyu60CtrugbXLfhY28ZeiojEI56Xgz4E79FWmgpyP1YjDjYnnDU827AnzDLpgqfpV7E2VzmMFnO4trYp9XrkBv2rYBxY89CVFHNJr0mHMgDdXTAn9grHPWUxSkfJxYjNW17M/r+DSKUlgewps6aBcVTAS/2tQY6QtGwUrSNIBQH02hQkEVwS+QenF7soEbNx40g/a0C/sTxCG1XR+6XiizCMUoXnuvouoJSbhsewWwtRWN2mAZtmP6anC3gcHxOU91LDDpq+XDWKmgOy8ujANNDa+/BMTUP6XukX6Eum1mkyHuTYmSvILNp18AdK2503qMrrH11yhd6EyD5SGStEsN8NOlV10KK6pcsLk82HkWPYx5ZJTdHZpRGvqxZXXmlYZ8f/2DghseSXnUnV1ybUCpkOOp5AXlmJhxGAOISROVwGKhzxoK3A0cVOo3LAMw+bGP9vIoqxou9sc8qNCK92ibDWfwR9oa4gjgkVsIcpdodmGUwxRDCunZ5AOjsaO2uNJMSQVry5BubNeTWIRf25S3TgEsD/sTfkABnCmn/ZFdf/h9jmzUZaRNkEeMzlvKFCvtM7It9dqMBWYNfAUi7Iy0INXi7gv03I9ma65Eg9f7G+Q0Df1u8+e99KNlRIjUDC/6N2rcSjsHlULL10rjCMUxm5jsMrnLPekmvurIrruULjviAw7F5NrLAHRsvR/fcBoZVBRSFN1ZsEqEaHXAoMP2zPMtN5601uuk4/EaO7WiloWc6H6zQwj6vr8XDC17j66bcrd7mg7VpGq7DgcM87/GykaYh16mYUKHJjHoZ6Yt7l92GbZ0t6yAMgZ2Re/2KsW8rJydDZVmrE5HEw3Lk7KQ+5Fk7rYL92CLtjiyP2KumvsIQ8Pe0O3Jkc1f7tRNxDBMGM60SlfLNKJ6YWfKOFCIc9VwS8CcSiNLqfKR05KZw1GPOQwchdqjZUxOEufAIkklf5jBZzuKHFG/A+nb+H5yx4KpIdLAZyfzcbDG5LTWEo56zAv7EE8gLsgMjHUbTqbkt4E/MLzKhjxtG1uFmZGIw751pPH4BHGRQN/ZFaMBmJs+UwL4O4bNPBVbBfjGqx+DDG2phvwb219HZYN6qq7+5/Me1QzWjEieNSGTx9FIHDvgT6yGOqBvrKNu2SCT2HsQwKux/9SlynROg3wlK+QuEruMa+g9DjhoGVJlnHHqWE966n93SrzFsOoi6zv+WW425Q70srG0ksdLGPDNnAaZjqjlULlzrx8rlq/1w8U6fv37WScn7rnXFtY+SXvXHiJT1hsA3CnQocF7w7GcHC1L1X1G85uA8pK5hGGOyylDLe3Vbj3AUTWhKPV31uys/GLhhGnAh4rwv83DGggpwL1KPmS/4tDfgcsaCmxajN081XHFNS3rVh7DukaYDDy4rLXCq+M6iAftAn9kKYTLQgxhWVqhBAqVWeAl5v62QRuqzS+E6pFboKONYKrJGvICsT2Uj4E8oCA3NMithfHYuYgvZ2WAbIAIbZjby0oA/sWc46vlv4YYpXyjrjAV3ROojNyTXZuB9YG8bW6pUwEkHSLsjsxGbbHnsRWlakTW1DVEd/7K5qz2zyBs8xHLP6iC9619IzTdrU/O1G13RyMx9CW3GexgSpm8lveqBrrj276RXrUPKSGyDui+tMo335zaQqckt05pqTJ3mDFo4kzpgqHaIR7d+ns2f2IUvZ0yjMaOw87sbcNu6z5BRNRqH61ihb6atkvk4YJadWGEACIejnpJt2do6W7ZBavHy39di4n3DVNByrqO1O2202Thc0fWDpg1qczf+oJeNP+hZXK/plybvVbcwjpdGsmgXjWFtugmx08x3xbQZL0u7I682d7UvTcGt95Fgut0DULRtmNFPsbAEyvzsjYA/4ULmm90RJ/kG4PIp7q5QNibLWXwYmfinM/o1HSav4NsZCx7NyHStFzjXGQv+MOULvTVJ46sY4ajnoYA/sTMyKdo5QXshN3yycDSivpo/cZrFz4+74tqDAK649njSq7qRrOcPkZf5YuCBiVJSdMaCzcjiugh43EI18ikkk2MlGjAIvBzwJ5wIVWcW0KCgsO7nK7PGV/O5Z60XGagdFXwrqboW8CdWQnrlzMS+DqABUem9lNGFxorx3bvCUc89wRNuGshS31R2dlFReL7hQL5xJJdQUI989xF2+bSLOl2jLm8u3eGL5JIBbvp1N0/MXYOz1/WQf6z+mroZd6640XIdp979EYArrj2AROJK4UIkul24yOrAC6649qyxEC+ZCIeVpuKNuZQlNuJmSa862xXXviljHEsb2yIGVOECWo9E4ndBnMllCSchz/A0cs+wjkSOf7u0BlXF9wYPYS+o0YPUW00GLicn1V+It4roHJyKKDdbCVicWk6fRGObE9s6W/6OUO8aEEGpx8fQZ7GG4jVJdUgw8jcUt8HMunvTkL7T6Mn7VeGGBo1+a2csuC6StexO+UIvFtn3DUjmyCqY2ouUAoDU21nRVfNRDxzc3NXejjg7Jq5GhINGH0PJkpnzOpk5r1vtrxFp/9WClDMVXXyfWzB9hKNYLrI1Ol3rvktqaJUla66Cwmpfr8C7y33Ggq9WQJ96EkeWMtrXGEI2cUbbV43k2qXVkLt2vcDfOlq7u6gAHa3dC5Ne9Z+ILTkPeccWkFPpBrlHZyNr7f7l7jvtjqyJUE+tgir1yPsxVhXiicBFyFxgZUN9g6zRY0Y46vki4E+8iIj6zEcoxKcE/Ilj7bLJbZ0t6yGqz6sj9PPLOlq7x9vruixMvMAHEh1H+rwtJFcIO4RE6k5yxbXXAJyx4MZIhqOB3IRiqjAljKzAsoQF2C8CdYic/2TiBKwjbDXAHkmvukT0xhXXPnTFtZNdcW1rV1z7mSuu3T8RjqIzFqxzxoJxJOpyNVIbl3bGgrsVbHotcs8Lj6khzuuDSJBgLnmGfI2u0pCpZeNPFlgdvhxVu+ON/ZV6dgaQl9TKMGkC/hjwJxxZpb6+UhpqVlGZ0b8GNVmNBm2IvT9+kYbs6BKz/L02ZYfZ9st32P6LUfGRASqslzHwD2Qyy68L7UMy0PsZvz9JXh/Ben0xqm5fGjEzu6Qs14HQKEYg4E9sGPAnLg/4E08Y/244hnFPNHbEPio9DQm+LFNwxbWXkYXjLnJiGHcCW7nimiXtpYoqJgrNXe0vI3SoQpbMEBJNv22SDn0h8FbBcYeRjKLP7ksdrd33InP510jwcpHxnUBHa/c1dt+z2ddbHa3d53S0dp/R0dr92BgcRcJRzzAF7KkCvG3Q7q/Euum9HRyUMJ5TvtDrKV/o9hKOIgj7y8qW6QeOzWNb7EPp+joVa0ptFFm78hcVHQkWl8McOxS5/0Xt1L66sjtrjEJvfS299TlfpTarss5nK7Pfq1ux4actqMVl5rLIszbI+EoDssg63QvsG456PiqxPQgl264PZR3SDuI25H26H9i3o7XbTnujFELGsYo9B02IDVqWkmfaHVERfQI7g0PFvhXalCDlCz2NOMH9yDoMco8WAnuNl5EU8Cd2QjKrC8j1slwA3GR8NgJtnS2/RhzEXyH+1clAsq2zZdS2k4FJa53himsvGu0zDkIoaykg5opr+W0T7JpXOhAhis1ZtmTin0Vq7axemiFEfGYyUYxWmEEcr3IoN+PBhYizUc/IiOEtzlhwi5Qv9BpAyhda7IwFd0CM3FmIb6Qg4jK7H/TydgqyEI16Bh04aFm4Ak/pb+V7VL2U18pgD8rrUVhKVc0N/IQxBFSySj1fq6uz/sKPWFTbgFYmi7UxO8w+Hz3Poyu4Cj8qR71sBFxxbTjpVXdHBAnM6HACuMLMCLrimp70qvsgmYRaB9nGDQZu1V9s3E/RlJGJuBp9gB/0jxjGERj1rwF/YjWk4H07cndsC6A14E/8Ohz1LE3hmAHk3bC63xp5xpozFqxFFigNeLlQ4GEq4YprrwKeidxn0qs2IAvMr5BaqDeA011x7baJPE4V3wn8HFE/PZTc+3MPcERzV3uxeqsxw1Bn3hpx/I5A1tl7gUiB3TAKHa3d17V1ttyI1BmpwLNltgiYLJyKzIlW2c5TjP8fD7yIZJLKiUg2ISyJccEZC+6NtGYqPGYW6bV5c97fyqnVXIwF28UV175OetVNkWtxKGIMP4pkj1dDMmN2Dkgjkj15FbFprKjPQ0B2Vl+m4YuZ5YukLoEOtV9uVvAnnemZhpI9GREH4lfGv39CHJ+xYhGS5b25VMuUPEwj58BYQe1o7f75OMYELOlscDDlqdBOAxJJr3oWcLlVf1Sjl+JfEWX8YtARW9EShrO5DzJXzELmpkuau9o/K2OcZSPlC51l6BscjvgkTwD/TPlC30zA7gsFIE00Gp8tyd62dbasjTjt+dubRtqtbZ0t8ztauye1dG/SnEUAV1xbjBSNd9htgj29IYt42cuSs/hPRPq4EBrSRPTBST5+kpHp/3woWDQXnUg4Y8E5SPNiK058PUI5WRL5TPlCLztjwRaECrsKYpw+m/KF9IA/YdfQFpBm9cjCasqNX4pEYkuhnMlWRyLkxeTSG4HrQVfKW8dzcOhDNGW/oD6bYVFtIzV6+T7HnOFR8+uRKV9oTAq2Rob/NopkAlxx7fmkV10DMc5+uNHgLelk/S6zehwr7Knqg7UooKOycf+NrD48QpxvBVhSH/okoyPLKmIIXBTwJ+4MRz1jyY5OBG5GFnMrDGOIITljwcOROiLzmRxwxoJHFxhO31oY9c7/QcTFzAVnI+DapFf9nSuunb+UhlbFMojmrvYBoC3tjpyEZBU+a+5q/7rE18YNw8C8wPipCB2t3RkmR3inYoSjnpsC/sRcxOgzs04K0B6Oem42ttED/sQVyLpZSpAMJPD1TsmtSiOEtZPmAA5kZFA2hgQB7epUh5Eaf8sG7a649iVCqz+p4KNnk17VgShQW5WqmCronyOOVByZt8zFeBBZw2/c6t3F/nvWn1NXERVVB3QH9emdR/y5DCcxt6nci17sa2khRwkt1sHxy3DUU6m6aBf2hkmGidOmcFBemxAT84C/AEcmverWrri2xB4zHMX/Yn2/C9EPnJ92RzZGHLVmpG3XPxEb79+Iw2k+lxsD/rQ7sm1zV/uEJm1SvtCrgH8i9xnwJ2qATYpssknAn6jJ6w9+JPb+moK0/ZpUW2VSncUy8CqSdbQah0pxKseUIxz1fB3wJ3ZFsmVm78AsQrXYZQoKU89E6J2FL1sfcKkrrk22KNB6yCRtNXmoWLTsMFL1Dxf+PRz1DAb8iXewWSSzip5E4XzEEb8z5QuVQ80AUbvaCvuMYD9y31ooXoch1BqbrKBDHyZLDVYUVQUd1+ADvDbzAPpq6vi6pon5Q4tLLkMZoGvmSvl/+ijlC1VEo0p61UZkcTWzRynEIfqrK65ZZp1dce0LxIAIgag4XXLsKeusMvzsK6o+XLNy5gUa9BE+eBbJsoPUH5cSvGhFKElTjpQv9K4zFrwQOIaR700vEiF8zRkL7o/IVecbUDOAq5yx4MKUL1ROjeiyjp8hohmFkcwm4OykV73S7vmo4vuL5q72HqQ/XxUVIhz1dAT8iTiyHgE8laeGaG6jG4rdt1Ja1VVHnLcxwxkL1iFq9XZwO2NBNY9VcQtSr7Ypox3MYSQA9X/lZpuTXnV1JEmQQoKYFzFaZR7j9xWQFmufIpnuAHIt+xHFyD8Di9f+tH+9z2fU7vr0ajPqhL9UhsOngDI4G0fGTpC2JOoRRk4/knWzUyAdRjJSb2BdpjQIvGC09nrQoDCXREdr92BbZ8tZyHJdaA8OIg4bsCQrtRVSZ3dvJRkoQ3DtbcoLZphoQu5xOyLGZ+KvFmM1oTGyB+m5iMjbSeT6L++OCByehyQg8vdllrJ1MgHZ9ylAFjlnOx9MY6Qi9arYBxxqEWd6UrG0ncW/IZmqwnFowDspX6gSmduyYQir7IQ8lPeEo56yI6bhqOfpgD+xItIrZ2VkEvhvqQa6EwFXXLs96VXPRF6YDOIQORB64VT0rfySEhGyCvcXROoeR1F1VN3xm5QvdGclOwv4E+0I5dLKw9MQmWNTotnOUbRXqNN1HGRoyn7Ftn2XMqQ08sg0PzoKulID+jAqWbbu66DGsZABRw2Rl25kueHesuKVOgo3rLKE8t9LGcqv+Uh61XokcrceOcNjXWTCPiXpVY9yxbWyIphH//0vbyS96pXk6EP5GAD+YjSd3pLiqdeGumzvqhWcxmTgZITrfzJCbfoAoWF1GnXRdpH2JmTR/S44i4dg79RnEKGf70QWtYoqlhUYzuEjJba5N+BP7I0Y02uTW7+GESN4AHEUfWXWsxVDxvixW8eHyTNSm7vaM2l3ZBdEifxYJAD5GpLhuaO5q70s1kvSq85FgpZbI9m2WiQzdxiSNWzAWhCxAXGyfuKKaztjgaRX3at54dCudZp+41CNMtNqGyvoZu/HsaFQfEgn5/CY6ANOCUc9iwL+xBHAvxi5zmQRW2Q3pDe0FvAnWsNRT7mCa2Hj398Z/6pILaq3o7U72dbZMs045g7knA+lrbPl/zpau28r90SN/ccpXbuajzrg5KRXPdsV1wYN2mgx6qkDeaY+NY41F6Gg5x9zGnKdT8OaFqsAa6bdkTWbu9qXqURTIcJRTzbgT9yJlAkV2qtZIFGQfPofUpZiFVDKYN1SaEKh6PrSbdnljAUPRsQ4ssiF6EVEOHZI+UJLBE0C/sTqSLT/zXDUM6YMWsCfUJFMiFmHoSMv+x/CUU9kPOcxlUh61eWRB6cBkdKfEtVYw7B+HYkaWTkIbwO7pHyh98vdZ8Cf8CJZJ4exz2HghHDUU1ZGzRkLOoGDm4bqF+z1xmaHO7Do+yD3+rfAbMRBtcqM5lOFrKFnWX/w32zZH8tJjCnL8Xr9bnylrsbM7CesO3gPs7Kf0O+o5Y4VN9T2+uQl1UrcxgrDioN9tz62v6e2QUGo2/6UL1T2C5r0qr9EAjB20bs+YCdXXHu6zP3VIRP4Psh9MXuEHe6Kazcajac/oEiNaK3ex1Z9lyf3vOy+YtHspQZnLDgTmW9s+ymlfKGlHVQbN5Je9R7EKLHCYuAoV1y7fgqHVEUVVRQg4E/MRAz7esRO2RB4F4hX6ig6Y8FVkIxcI8LueTrlC+nOWPAGpM9iYcA0A9yY8oUOHtdJFMCoe3sWWJ+RRn4WoZm6ECX5uMWYTHzpimvLW33Q1tnShNSSbUAFGgNqzwKmd7WXu3m5yCDn8A7SI3GJOn7An9gGyYZuZWxj/gCgKxn0mt5+Xe3f/Ly/HPGaQWNuRwJ9dYjzdGY46knmH7Cts6UeqZns6Wjtfifv7/8iZyfmow/YuqO1++VyTyrpVY8FzkGeTR1x4nRK1zK2u+LauYazOIT9/ckCdc1d7RpA2h25AdHGsLLHdJu/g4jP7Nbc1V6WjbM0EfAn1kCC2DPIJSgyyHq8eTjqyb+Xc5EazsJUeAZ51tYdixhXJVjqziKAMxaci/DTl0f6Gt1t0iAC/sSmCOVgNXLKWBHkpalo8AF/4o/Iy2dF4zwkHPXcOp7z+D7AULB9BIkCFr74Zu3mWilfqNxCbQL+RC3C39aBF/J42qXGciTiHCktX69Qv8VHa1CbtbXrb0REa9Yvd1yFUPRhtun7R/+6Q/fWIpO8rWOpw0INZbAGvZgo0QgMKerA5av/sOMm52bRlC9kKRNvLLwuZAF43RXXhvI+ewwLKvDIYXG7K679rNwxGfttQSLCPUj7lQFY0k/sfYQiYXG0LNP0r9h/4VF9Ktq2rrj2YiXHnQo4Y8F6ZHK2cxZ7U77QZPWVmzIkveqRSFDGKpAwAKzmimtLq660iiqmHG2dLSqyHmSB1zpau5fJ/mblwBkLboSwIHZCzuddpDWQjhiig0iJxh5I0PRZ418z0DeIqMlumvKFbKX40+5IE1JWsCvSyzdeyjBPetXTEK0Hq/WyBxE6vMcYs119XJ8rro2au9o6W1ZHaubLXmcB0OpoevtwaheO2RywQz9wTDjqidttYDDb3sI4V13JMOC8naF5j4GiA1kNvea6mS+cvZOSbVie3D3SjP3/KBz1WLLu2jpbNkLuTRMiLGQn7NbZ0dp9aCUnZpS4mPbFE+R6Uhfj8r7nimurA6TdkYeBH9ls91BzV/sSVc+0O/I0IpJnhWHE/rJyPAeA5uau9oVFxrTMIOBPrIpkbk0xoluAs8JRzyjl/7bOli2BO8jRcnUkWL9bR2t3arLHukw4i3YwVBZfZjR9qg84t5zGpXn7qkFoknY0hZfCUc/GYxnn9w2Gyun9WNM1e4CTUr5QyV5B4xzD+khqvhFgta/msdnHqxdzFm9HKIgbjPmgup7ZZ/Fv9l1ee/cTpMZkJewdxn4kkjargiP0ADu44tpzVh8mveqOiMjPCuQ476e54tpFxufPYd+c2sSSyXsiEPAnDjDGNJKioutMz37Krj1nUUdf76t1nitfbfzZJkjQ5y3gnHDUc89EjWM8cMaC/0aMqMKo9jBS13jk1I9qYpH0qk0IfWxlRjrGfcCVrrh2fOF3nLGg2Y90FpKVWGb63lZRxXjQ1tlyCBI8qUfm8F7gmI7W7lvGus+AP9EAHIAwMQaAa4C7J1vLwBkLbo7Uz1nV/uVjALgp5Qsd6owFV0BacR1gfHY9cEHKF/rC7stpd2QB4phNN36yxj6vQkTEtkGu48OGQBJJr3o0IlZUrHzln0j5SArruj4d+I8rro1oc9TW2TIfSS40U4kKnQ71H/6MhvSkdU16Pxz1rGb3YcCf2B2prZsF0LvWJWRmvglqXrli1qGpfas4pnX9VlFG+0TPhaOeETKubZ0ttUhAfFdy17rYNX+jo7V73TLPxxZJr3o2OXVfK3zjimtzoKjATS+wfXNX+wvmH9LuyN8RURerczCZhVYZ0382d7UfU/4ZfLvQ1tlSg6zJKyEsvycnO6NoYll3Fi9BlJCsHpg+YF446ilH2tls1v429kXkA+Gop1SBeRUsyeidjz2H/daULzRu2eYSY7gUeTZqAJqG6tnzzU3t+iL1IPUWzUgdYOX3WdeZq73zVpaabJP+1ZqrDz2urzH035oa6zZBw4gjO4hEesvFR8Cqrrg2yrh44Ojlt15pYOEjNXq28F3oQ5rXPoBkfO16L5l4zBXXSslWV4SAP3Ford53WRalQcdBXbaP9Qbv4NMaNx/XbkQWBVALhQd6EYfxzIkcy1jgjAUXkKODmFHcAYSeumnKF5pQOe6phJGJXg0xphYDf0fqJExDLwKcU/jMGfL6V5OjHtcgz9gBKV+okt5wVVSxTKGts2UfRCjOqq3FPh2t3RUrSQb8iRUQR2o+ueB2D/A0sEc46rFvYDtOOGPBYlmYQgwAzSlfqOLMi5Ht2RRr+qrOyP6YRy7aIng7wjQqlnnKAOe74lp70qsehrRjsrovRyFG8qbAh4+uNfPB/602408oSiV1dMYRG5j1/Hn5f+lH5rhyWm6VgyzQaHfPDbbcf4EmrelDetb9K6gWm2r1NL11JLWLRvl0g8Cq4ajnM8NhPhzwIvN8uSUTD3W0do+7P5+hk7AIezrqI664toP5i+Ewnksuw/gIcFK+o2hs50ICAYX3dwhRPI4gQQrzWaxHAh5HTlZrn+87lvVanPwoSSGGET7/k2Xu6xuK89m/Kn9Y33v0IFktK+jkNXqfaBjR2x1Xd87b7qOZX9UM1ghjta9ukI9mfMkqi5a3kr9ejETd6oCjkahM+Y2ZjIDK16pzrazSwNcs4NOadXmpYV/2WtyerxQ6ZPy8h9AK1kXqE0otaFlkwTo032hPetUZwH69at0amfqZv3GMdhQx9n0WUguxXInj9CJO/oQiHPVc/ap3erLXMfchlUxjfXYhN8/6O/3KLBH+scY04NSAP/FPK8pFJXDGgkoltZ2FSPlC7xuZaj/wC+TZvg74W8oXmvR2AZOFpFfdA6nRNmt9vkaUDQ9DGBZfuOLaKMq3MxbcEDn/wud2Z0TqvnWyxlxFFVOAMPaCViHG1nbgGsRYz7cxpiP0/RPJiZFMKJyx4AyKS/AXYhhpGVWRs5h2R0xWjlVNoTnJ569P1zV1HfXXPvdlpeblYaRWEVdc+6fBgDibHM3wG0QB9jIM+p2msP5Lq0zfvSzVUws4Buea/80izvzVxjmcw1gCyaMxiJyXHZ7H0EjIzHodFJuqG8cgmdmvWDmLGtDY1tmyHXA3cq0qGXcv0i973HDFtcGkVw0jAWsrJ39Eq7nmrvbngZ2MGkbMGsVCNHe1J9PuyIFIBjZLrvPA68DPm7vav0y7I/MRVdQZwNPNXe2T2jru+45l3VksljVUS3w+AuGopy/gT/wb2JvRjkI/IuG8zCDpVXdBnICNMNLrwBmuuLYsGK93Yv/s9GFM/hONgD9xKBJ5zG720RoNm3+0Jm8vl+a5ld5FAZbvsxVCmw3MDUc9HwX8ic2RFiSHIJPbQoQOYh9IUBTQdbJ5jeozSiM9jhqeajyCHfrOB1kgbkH6QT7qims68FnSq/7KGLPOaLW3LLKo3ASc5Yprr5sfJL3qbog6pd6kDU1fre+LYjybGcgCYncOOnJfrjfGOOFYP97zdNKrngf85tX6PRuHmKYUcRRNKEgR+3mlNiyEIbZ0KJIpXuCMBRcjQll/TPlCZc8LJoxelkGmRlV40pH0qjswWn2vCXECf+6Ka6MowAb74vCdpq3/y8+mLWx4Z+6n9NeOiHg3Avs4Y8H5Y+39WUUVSxOGGEoxGv4mbZ0tSiXULkO4ZFebj5uQAM2kOIsUb/9khTrG1o95JSQQWq5Toqo9q51U/95ew0POB9FrLafkLHCeK67l98W7EQl67osEeS9GAlRL5rH3lm9AH5ufCDoomekg624fojD7JkDAn9CQjFXl2cochoBriulpGO1SZK3WTZ/YhqmsW66hi3rWiaaRzFsl9fSmHXAjRXovjwGnI/fsl7CEauUAjnXFtYesvmDnJBZsc0faHZmHiPTMBZ5DAganp92RWqTX4j3NXe3f2lrjbxOWdWfxH9jL2n+FtEKoBMcgNV2FVJHnENnqkjBEPbZGmoB+AdwRjnrGpcFciKRXPQg5d/O865C+eT9NetUfuOJasSawk46UL7TIGQseg1Da8hvl9iLOyGMTfcyAP7Ej4og1AdToskau8dV8BtVhvpy2mNqsatdUV0Gazp8Rjnq+QLKLRxv7XR1pcFucgmIRxcwqtbxXty3b912ESqYGeMUV1/6bv40rrl2d9KoPIP2C5iI0oI2RAMVLyLOYBVZPetWk0deoGXEUp5mDLwYd6opskwEeBX4PPGk4sZMCV1w7LelV73yjbtfbMo6G+WV8pY7KFrt8/BFRuDXrH2YiVOMdnLHg1ilf6DtBRUl6VRdynj9C5rxLgOusMoIFOAfrebMRMYhGOIsBf8ID3AA4mntnNyzfNwP3504eX/VNPpo1gnQxiGTMq85iFd9GmKrOdhgcQw3QJSU+n5v/i+EomMqgr5i9F52xYBMSADsMydLdBFxWjN2Q8oW+ccaCbyHibaUwhIgHVsSiSrsj0xAaaCX19ygojrrPt66v+3xzMrPeYWD1f+U7jVngCldcO838gzHXPYnMUaZTugUFdmpvvUp2rM6iAtqMd/SFm50A6J/g0H7Q1nlssqO1Ww9HPRcH/ImPkWByMeWbDHItv0YC0eYa1IuUkpxcxkgyADVfbwjOO6y30B3ULBwlIt4HnKzNfHs3yg8ULESu65fA5cAjE1nn5oprGnBs0queAWyH2DgPueLauO3i5q72PuDGtDtSg9iWOyLXWwEOBt5IuyM7Gv1gq5hElC0zvJRwOdLHML9GRjN+P6xSNVTDUVgfMSrvQCLvBwM7FzbLtYLRKuAFRML4XGN8nxoFyxOCpFetJdeoNh/1SD3aERN1rPEg5QvFkRqCOxFFpqeQsR02HkpgEfwRC+O3RldZ/7NVWaFnhq7YhxsbsJ/8N6ISSmoBdBQySj3IM9lV+HnSqx6DSBsfhSj+HoZM2rOR69WKGAjXA48YimN2vSLHgj6kJuSJyXQUTbji2lPf1KxariR3L+LIjkLAn1g+4E+cEvAnHgr4EzcH/IndjUCNqZ58MqML5RuQPmUVqb0uq0h61R8ilCUfooC7FRJpvzPpVW0DfUmv6gA2s/scWDfpVZekyQP+xBzEUWzCEA2o0VVqdJVtP1ibusyIQ9UA39oaziq+3+ho7R4G7sK6jCKD2ARlI+BPLI+0LSiGN/O23wMRcnkceBD4POBPnPDLUzu3mN0/7SV0/ooEozdD1rwuoz1UMZzISBspH+Z5LkaExQ4vsa8RSLsjCkLL3a+S75lQUFCopWbhmjR1HQ1ZB4jDngICBZtfi6yL+dnLBgqcxbk9wyIaao8MEtSyhiOj4MjU4tDWQYLy55gfhaOe28JRzwZIL7/CdKiOOInnIUqzayEiQQ8hrUlOROboeUYNazHcBmjq4ArUfbYNaBbTuZLV+9e4KpOtWdxvjOVz4Nhw1HMVIgRUTrKnD/hzR2v37h2t3Yd0tHY/PFmCKK649hliB85CEhtl97wsA36kDCKfnTUdsesqZiZVUTmW6cxiOOrpD/gT2yEZwaOQh+Nh4Oxw1PNase8W2aep3nXVGL5+BxLBK6wduyngT2wQjnreHcuYCrA59hGjRsTZiE7AccaNlC/0BCKWMRXY2O4DBVj381WGFYPLb7HJIMJ1H4GAP/EDxEkba5ySOr2POn3JOn1n/mdJr/pjJItTOKbdjGPm3+fpSPH+acACi+/YosTgVcZWgzMexBGDp1jWcBARnBpFUwn4E27EmKondx12Be4K+BOtbMiu5BpWF2I6cBBCtfnWwnD4OhntEE9D5Mv3RyilVtARg8kuCGI2kDZxYLGxtHyzAm8t/4n5vQ9SvtCooEgVVXyLcALyDs0g946YrSMqpaHXY1+/b+IMgIA/sTWjqeEA0eX6p2V3eWdDddiR4ZmV3zGz+Y2IrfF3pHzGEilf6H5nLLgPYhe4jD8/h6iQboTMGfcDd5ktySrAjkitol1LiyyyBBVdhhRqcAxPp+br9QYzc1+5GjjVFde+MT832jOtRxlB0pW/GWLGgMZXTQo4Cg6r64MoynpIQH/1UuNCrs3xbZ0tf+9o7c5vV3UWwjr7A7lWBf8Djijoc3gFcIXRw/tMJHCuA3UBf+IJhOZq1QbrNIReObP+g1+oQ3OfA7UgOaag6LU92Z71z4rPfDF0PvBOOOox798r2HJX5UogjuL9TIJOQSGM9eoiRlJRa5Je9WRXXJuI+sgTsWbKNACHpt2R45u72idNRKqKZdxZBHEYkcjBUo0eBPyJDZEohpXISA2SrTxpAg5VQ3GazFK7Z0mvugmwA0KhvN0V16ayoPgbbGgwCgqqVImbDWMLF4gskgUGllCJf4P0pSomL52Dro+iotboA2w08C8UuV3TgVDSq4Zccc2UH/8d1hOc3T1sQOjG/7A5j5KjzPuOqU53pEkHSXpVk/9fDzzoimtJy72MH/9CemdtyGin16RPPgQcZMMOuBG51/nnPx34KeIklbouyzpjohxshr2K4DTglKRXzSDU4g/zP3TFNT3pVW9FxHoKA09Z4B5XXMun6a6CTZ1Oja7SNFwHYngMGvusoopvLTpau99v62zZAFkD9kPmyuuA8ztauz+vcHcfI06mXXCvKxz13G78/0822ykOHKojC7VZyeY/vFoXn01fCLJW/MQZCzYVUyFO+UL3A+s7Y8FZQDblC5mlKtdXeD6F2B3r3qwgc8klCDOmZBZJyTbQ9M7BVzXf0X6UxcdzkQBgySCpAnhe/JJrtplPNn9d1nUcOqmswh+RzFsl6+fPyHOqjHXp/IA/cREiCLQ4HPV8WeT7F5PTQTDxQ+DpgD+xdjjqGSEoFI56uo1g9Vl6/Rc/xzFo54zX6XWL9wpHPYXtIJ4EuhEmTaE9MYzYO1cBT09Ra4XfI4mMekaW9ISSXvU9V1xLjHP/xTK1CoZg2ziPMakI+BPNyPukAveNVdjPaJOyBrC4o7X7owkcYlEs887iMgQ39hHEOmAzw6FcE1HDfLFSmqyBZ7DPLA5QIU1mImAolN2GRGNV5DpEk171TFdcO7vU9w0azUrAOylfqNiEWwwXI5E7u2xJE0LZW4AY2flOoAZsGPAnvkEmND9iIBd//s2FSNeBLIquUaNnpO6BGtYZuIf1B5fUGyiIg9Sa9KqbGJSMTSs/TWYjdRpjyXYuAt5HJtbnEdGcpwCSXvX3yISeQZwpJelV7wAOLnAcxo1w1DNs1JiehNSGzibnwDUgz/EOSEZrRL1PwJ9Yh1yrh0JM09GPRyLtdgZMD0Kp/LZjFsUjx24kqFCX9Kq3AD5XXMuPrAaAHyOLqPkuZJDr4y/Y12sITW2Uc5pRtMxAzfAbiGLg5ZXWO1Xx7ULaHVkNERdpRGTtH23ual92+2uNER2t3Z8A7cZPURjG2X4IHbwB6bF7ZUdr9zeGWEk7IzUGTPQjZS4mtqaMeb1GV9n4kwXct9ZL5p90ZL4r2bJmLC0xSmAImYesbBINyaSZdf8rUPz8NGSescJb2AdudYT6PltTqP9iRi2PrTFDQrT5AVxFIYu+CrKulBcEFtRgo1kQjnoyyJo6AgF/oh5Zp8zrbTpK+VCROfWXWLDBwlHP+8DBbZ0t6yB2nx0TZ5Sd0tHarbd1tuwG3AesiqyvZsB8747WbsvyjsmAUTp1EvYKw6cD43UWP0AcJCsMIcmEZRJGcuIsZN01fQg14E/EEVpxWQI9bZ0tZpLjNOR+17Z1trwOeDtau8st/Rkzqs5i+fi4yGdZJOv4JPLCqsD7AX9iz3DU814lB3HFtf6kV/0jEoXMN4jNifbiikY9MbgQ2J7RVJTfJb3qy2bUyFCo3AahATYCTyBRxy2QrES9Mxa8DTgy5QtVWpB8AdJLqFgj2Y2Adxk96U5HslX9xjmUp3ZmLkSKgqprrDz8AmsOPYyOykqZl2nUR63LtciC+YekV/0Ae4emGD5G6h4qxTBwjSuuHVf4QdKr7os0zi2M+v0UkSkvaTBVCoMR8GfgzwF/4mlEWMqcb8zn6NyAP/FcOOr5X95XV6CI7PigOrweIqNulT0cRBaVm8Y5/GUBL1BcdMlBLpr/M2Ru+JX5oSuufZD0qhsi930/xIi7BfiLK64VRjRvRt6vwmy2XqOrizb9ZPUtHgz8ekJFvKpY9pB2R85CjBEFmcv6gFfT7siuzV3tS1VUbWmhrbOlAWFBbEBuPv8B0N7W2bJlR2v3B+Go5zpDtOZcZK1REQfjBCAT8Cfmh6OeT5HrWdaaMLd/ev7buBCpc18auBl7CmAGuNVoY7ABEsjeAnvK6iBSlzgKrri2OOlVL0dqKq2c7j0fWHf26a+v2LSHrsCwqliKzqEoY9EfGKLMUg3jPv8BcY50JHjdjaxZVvN1E0IhLlY69FaJwz5s9ceO1u6P2jpb1kdsrvWANHBPR2v3VNMxmynuSxSz2crF2cDfGP3+9AEXNXe1lxJ8W5rwIomEwvfiUCSxVK5S8inAqYy8BhsDj7V1tmxQQKOecHwX6FpThceQSdsqyqogmYAmxICbhhS9PxrwJyqevFxx7a/Iw/UJMsEOIeqFm7viWqU0mXHB6PV3ENYLQBPy8OKMBddGHLVHkRpTH2LU/9D47izj330QyeOKYAgQbUWxwnVZpNfCOvvYAMxhjLLYmlLHR7WbMD/zJmsMP2rlKJqoRc79DIq3srCKJvUidWolxZYssBih1Vrh99hH/Y42GutOCoxM4QZYLyYNjM5yvY6Nk6SjZz+dvnA69gbX9cA2KV9oLNdvmYJBZb6KMrIJGLXMSa86u2AfH7vi2vGuuNbsimvzXXHtaAtH0azj3gmJ3i9Gnr/FiKDCThOt9lzFsoe0O/IzxLlpQN4/B+L4bAJ0LMWhLW38hlzdn4kmJKj1D/MP4ajnGoQ9szESOH4AYeM8DnQH/In/IMGasuYmTcmajmIvcEbKF1oq7QGMvni3Mnoe6gPizV3tbxnbfdbc1f4jxGm50mL7Xp3sdYu2CG6f9KofJL3qUNKrvpv0qm1Jr2p6fSchDucgwpIxf/7vvN2c673inLbLUK2D4RqHtaM4drzR0dr9fJnbRpDg6nQka1iPsMmKBQFKtXKqp3gm1PZkO1q79Y7W7sc7Wrsv62jt/vdScBRBaNjFlFknot1bDHnfBoyfQSSIcBeSuVyWcRrWz8c0ILCkjUoRtHW2NDLaUQR5NhqYhIB/IarOYpkwUsV7IZNX4YRfKFaC8ftMxDmqGK64diWifroyMMcV1zyuuDapkQMbrELxBrMuZyy4OdIGYgEjJzarSa4B2NIZC1bSSBiAcNSzCKF79FG8rtMKJYvwS+5Az/CVuqCcTZeoStpgGCmWL8RDSJF4pc7b+8Cmrrhmx19fq8T3y2lzMVasTq7gvRAOCqKOhmKxmQUegayiZ1+bl7K7h4uBeyeahuWMBbd3xoL/csaCzzljwcudsWAxSfWJxnFIf9UB7ANVJgYBV8CfmB7wJ1oC/kSx528UwlHPy0htzsGI0uzBwMrhqOelol+s4rsCK3VhkLnoZ2l3ZPbUDmdq0dbZMr+ts+Wwts4WX1tny8p5Hx2NdR2dCuzQ1tkyx/xDOOrJhqOetxFGxeHG92Yi13B7JMP0ERZzWz6yZPlw1pfDxnbnULo1x2Tj/5CA48fIXP4WcDyi0zACzV3t7zZ3tR+O1DY/hgSgXgCOXLz5qTORDNEqiHO0GqJFcTGAK64Nu+KaF1kzfonUp7uzCq6GIe2SrEMpl1paqW1QFsvJUI0+htGBVwf2tkUP4jwXw/oUDyLs29bZEmrrbCmlsLpU4IprPcDdWNuJ/UjZyLjQ3NWuN3e1+5EkTADJsm3W3NW+X3NX+7LeJmtBkc9mUl77sA2xL4OrRWohJxVVGmoBjPYYGyHRkOfy6w7DUc8LRj+yB8vc3QzgDEMu+1rgwXL5ySBCFSw9+omJNEVaS/SptQs3WJj69/afv1lfn83w9HKr89TcNcgqReMQDmTxfKHSwYSjnhsC/sR7CDWjbMXQiUBGaeS5xlbm9bxBvV5x3/d8fIi8/IXYCZkM/4dQS8p5PzXgJ6649n6RbT5DFmYr1CL9+yYL72MfNc0CViI7bciC7CGvL9qzK73z6jeNvdvY7KuGCvuAFcIIehyMTN73Iou4WYuhIPes1RkL+lK+0KSrrRq1pMcY9aYbIEajJaVnUJled8PMjt8jqrEZQAn4E5cBJ4ejnrKizUZ9jk3Tryq+47CrBwJ5B50sw3VBY4VRB2TWE5lUtpq2zpbLkUxrsTll2Ph8SeYk4E+shgSIC4M1Nci8co7x2WGIc74C4njWAujog7pCX/fsz48D7sgTqlkqSLsjKsJYOQ5xFIeRc3m9WC1rc1f73YgDAUDSq26OlD0UOlrTEFbEX11x7S0QRgRwc9Krbg283lfrqBlWHeUGv/qQdcXsxVcOXKU3AR1tS23G2xmt4TMcQ3OoWbguysgcQVar/8wx4Pw3mdmvgKKjDM7V9fovG9o6j1WKCM30UDwzpyJU4MPaOls26WjtTpcz3lIwMrq1wPAEtNX6FfA0sDy5oFMPYuOV1cO8HDR3tXcjZVHfJnwNLGfzWYby2EMDFE/uTTr7p+osGjAKli9DolmDyAv6VcCfOCAc9TyVt+lxVHbd1kEUq/YFHjfqGJf1SMgSuOLaV0mveh/S7mGE0zjgqKG7aW5L6OWb1LpsBhWdnT97nU/rZ/LrTQ6it8Z2ftcoM5pnhXDU87+AP/EaxXvJTTwUha/UFu6ddhp79QRBXvRK36E+7OmwTUjk1YNEZVfAXhEzH3NKfP4I9s7iMKVpMhXBkBHfDHlenkOopRsx+loNYLGQGLTI/QL+xAJgSySb/5935n76S0ZTwkzoSI+nimHU2saQ2r4GZFI+kJyTaKLG+Ik5Y8F7Ur7QorEcr1K44tpXSA/Oc7AQ98miZm+bca4y5JhuvqNmZroNue/7TMU4q/hWoxsx9KxQS/Ga/W8zvFjXEx2O1BO9hDQat4JGwXXR6j/fJdvwma5ka1F7VkfRR0x504FdwlHPT4EQQMCfcCIUsn2BrIJyvaor5/3vhJM/Hd9pTRj+gmQQG8kFZ1cD7ku7I5s0d7W/XfiFtDvSgAQ+pwFPNHe1f0RONMkKKjJHRcw/GH1k/w3MqNV07FsoA7pOXUYnoyrZrEM53fje/UgGsxyULO1p62xZjU1rLwfHdMiC7gDdQc3itdFrelD7m1EXubr7V79mVRxDqrlq6A2fzUDhGuBPbZ0tO3a0dlspYL4OfIpkVO1Qj7yffwaOaOts2RBZY79C6hQHyjxXU5DmFMQBnQUsTHrV85F69jHZpq649mnSq66H9I3eF1nbrwLucMW1ovWERi/PnZB3cSYihnNdc1f7hNolSxGXIHT2wud/ELjaCNKWwstIsM4qC9lPntr/ZEHR9e+c0NmYEPAnrsZ6QusB1jNlbgP+xAeUPwkVog/4YzjqOXfMA10KSHrV5ZHai5WA6TpkBx01jnemrcDqPZ/RqI/Mjg8pDh5bfi3+7N7LbpcDgLNQGdUZC+6CNCLeAJkELwQuSvlCozIjAX/iUOQlLHQcrFpODCMLwhzsFywzaqoi2dSVsMmo1ugD7Lk4yFztvSHjeDUUjwzmH+MDoAX7bJvmims1xoS+J1IvujfFndKIK64VNjhegqRXfRj4kc3HvcAPXXGt3JqNogj4Ez9Dgi71SIS3BilMPwiJrs1AJkkdOCUc9Zxf7r6dseAM4B1EZj0/yjYIPJXyhXaw+Z4DCXbkC70s6TnmjAX/D6FClStIpCF0sluAC1K+0PvlnsN4kPSqKiI4YTYnBuh7p3Y77aFpJzlQHFbj7wc2C0c91d6IVdgi7Y4cgPSMK3yGhoBEc1f7vlM/qslHW2fLu9gH0rII/dKq5rsP+EtHa/efjf0owBnoyslo9bUYa1Dj+wdS99Xm+d+7Phz1tE7gKUwa0u7ITGQttFozM8DlzV3tRxd8Zz/kOTINyzrghkWb/f5rHJkTKFiblcHZ1Kd2ydZ+teGQotcOI9nIPyzaIrgaUo4wA+CGzZcnNbt+VF9FR1Zn1S8HWO/jvsEVFw79afNLhs4GaOtseQTRSygHfcD6Ha3dlmKEbZ0tKvA2OquiFGR3TGtDdwDZLIptuYuOaDq4Olq7R7HL2jpbtkXYLPUUX+t7kQDsZozUPjioo7W7LMXRpFe9F7EH8stdhoEXge0KVLUnFWl3xIGol/+EXDa4BwkQb9Xc1f5hka9/K2CUhDyABLrNdbsHeR62N8qrSqKts+XHwO3kAtogtvTbwFYdrd2T6lx/q2sWnbHgWs5Y8ExnLHipMxY81BkLVlSnYyLgT6yIGJJWk2IdQkcxMR7KXhMSxfxWwRDbWB8Rbrni/nnuj/0bHcjMzMAoRxGgTs+y7Rdv05gZNeeYjWJ/a+EoHkmuPcdMhOd9JnCvMxYc4YgZokHDSF+d/EjYINYTdRaJct2NvFzmZNSH1GPMMc7tBOM8V0daT9jic3VNkGcjg8hXl4q6ZBA6wus2YzTRD0vqN25BirdLUZdL0W3sMgbmuOaW+H5ZCPgT2wPXGMebgUQtpyHP/LkI9SqCqMm5KnEUAQxK1jbAq8i9W4jcz3uQeuJRMOaERxDDw4dEL68DnnDGgqZhfBKVKdeqiFz5McArzlhw60rOY6xwxTUN+DnieN+OnNefHp12/B02jiLIs7HzVIyvim81bkSM/H5ydMzFwJvAEUtrUJMJw8FbUGQTB+IonkduzTA1C/6BsEBM+IGTUPQ6agYUagagZoD+1a4lM2MJ074HiE/oSYwDaXdk9bQ78qu0O3Jk2h1Z2WKTDbCvN69BWvPk729L5PxmIGv4TMSw3W/aq8evSgGDRRlYjmmv/praLzd2KHptg/G9fYFnar/YeDPy7NNdXvuGek3Hkc0ts6qWZfqAxh6vfJ1dJ93fM6tfy6/ttKP9WaEBiBrPgxV2AeaOchQht/KKIFGx2kUF0Qb4sdWHHa3djyMOYKnWaE0I26YJWbNmGD83GC04bJH0qrOTXvUJpFShUBehFtgcSCe96mZJr7pL0qv+JOlVy6mnGw8OQ+rtppO7dtOBeYjN9q2HwZT6EZJ1vRYR4vMhQdyy2Ukdrd0PIPbx7Yjt241kmreebEcRvsU0VGcsGESyUCbf/2Ag7IwFt035Qu9WuLtNEKPTSlikDtgx7/eLkOat5WS0rFDMcF9mYdATbgJu2ikWXASw3JD986kpDmYP99FfU/caskiujPRzC6V8oYfztzWM9vMZHb1tQibQvRBFNgL+xHwkyzkPmSSzSKbnU2RhW2AxnHod/TgFZWdkkZ9vjOmecNRjnsR1+V8I+BOvIJPnqIyhomep15eUkjQidaUZSvd2mo9QTLPYZ0ALpcVfQ6hOVucF8tzeXuK4j2PdvBfkmR9Tj56APzELuTczjGOciTW9dhriIK4YjnpuHcuxTKR8obeBjZyx4DpI9vfNlC9UrDHtH5B+l/mBoOlI/eGfESNvpTEOp874udEZC66a8oUmnabhimtZpK5wSW1hxp+4GPv5J4u9wVdFFYAISAAnpN2RDuAA5J19EMl2LEi7I9sjWaZnrGrVDCrZ8sBQc1f7RPf6mxQYveoWIn1g7dCIGOfzkN6w9cBjHa3dSxqAt3W21GCnOK0OM+BMMP313/QiAmZltWiYTBh1iP9AjFczEPm3tDtyERDIu7+LKc6YKTR0f491wL3JMTBvdzINL1EzsDEG5bfhw91QtPrCuj8VmF7fvdfew8u/uOSPy/VlOOzxNM8umMHb8xpx6DrrftI38IPuHr0ho78BHOiKa/mqm/9B1rxyRHEcCHunq62zZZ+O1u43Cz5fn+KCdeWiHll37jP/0NbZciCyRq2BJCIuRujPdtluHXs71Y+UHtjhbkqX7sxBNBMWG8eqS3rVP7niWqjE98aKE7EO1NYAW6XdkRWbu9o/maRjTxnCUY+G0GvH1W+yo7X7RSRgPOX4VjqLzlhwW0SONv8Fno5M1rdhLR5SDN9QPMuanwWLI3WNW5NLKds5mlZ4p8KxLYtYCMz4pGEWa/Za0/1VdIYcNUekfKErytjfLuSi2YWYjmSDTCcjjmR1zEXAvG+zKH4Pp2fQnlRxDCgoXwNH5DmKVrgcCUCMNgAUWGX4OfM3BxIx/SMjI82FMN81UzlXR4x4k+rajwjR/D7/S664pie96t7As4xe+DSktvHxIscFiYwfwuj3vR+4xRXXKq6PCfgTPqR+TiN3PsUW1OlIP6Zijl3ZSPlCbwBvlLGpnZphA3CEMxY8CRHZGU8QZzayCD8zjn2MB9cjGXKrRVdlDK1qqvh+ormrvQuZy0i7I7MQA3N7ZK5Sgc/T7sjPmrval6jkGm03LkACgo60O5JFWigd39zV/soUn0KliCNzhN36rSCR+37yBFsKsFKR76M1faAjNUtXVCJwN4k4GQkIFM7XRwNdSP02wCtIBsMqu9TH6JYqm2ITMFdQhqe/dtxvejY69xBkPXfUfLNeg2LtiyqK1rgxWm0X6rAbY92aMZhlxzcXsuObC3sRB34m8JkrrlnZVFFEUbVcBVUQoZtH2zpbWpFn/ZmO1u6vybUwq2RfVhhE1ngA2jpb/ojUq5rzdjNSS/gucn0LbY9BJKBsdT9qKOIIGgJDdi2sCqGQ6+ELcFrSq35mKPQXRdodmYawf7JIvWop4ZViSuxDSJDmW+8sfhcwJc6iUTO0HbAi8GrKF3ptnLs8EWsD0AGs4YwFN0z5QpVkS55CMk1WYiK9wKXmL+GoJxPwJ3ZH6BJHIobi3UgReCnqQy+Sffm243Lg9GtatubkN+6iMTvSz8vCYF02c8VLv7qoHEcRZNEatchMH2xgzS+bWb5vxjYBf+JshKKxI9aT9jSKZFAUFGpQHcgE3ATcHPAndi4QL1oCQ0TnYuBodL0JRVHQM9SQYcfe86jJsV97gIQrriWSXvU9RCa7FnGiTMfQakXMIovxNGPba4BLXXHtm8INXXHt5aRXbQGuRugMKuLoXQCcXkrJzBXXkkmvuhfSw7GeXHTydsqgmAX8iZWQSf29cNTzTcCf2BrJsFeiRqsywUI6pWDMO7OLbNKIXIezERqe1eI8gMyTjdgHIzQqoz1NNB5FotW7MfIceoHzwlFPdbGtYiz4N2KU15N716cBD6fdkTWNZuy/QOalfMfDgcxTT6bdkR81d7U/xzKGts6WXZFa6tUo7QSUUitcRDFbSh3+NBz1XFZqTEa/NTdy/V4zshFjgjMWnIM4S7shwfDLgfufjcxVgN9izwD5PYaz2NzVrqfdkUMYXUvXh6hcPpl2R65CqJX9FA/W1jkGl0+54tqxSa/qB2ajqx9jk7lUUKhZuNbPMst13YaUhSjIPKsBP3PFtRE2ZNKrOhB65U5Az0lw43m7OXdBAmlzje/NpDj7y4EEDRPI3F/f1tnSgSQmLi3yvXJh1stjtMEIMtphb0Q0DS5GKJqNxve+Rko4zrLZtw6kihx7S8ZedtYE/CnpVWPFbI20O3IS8CfEoVWQwFF7c1d7sWv3CuIQWt2XOiTLanWs5ZHykYOQ9zcBnN3c1f5+6dOpYiyYdIEbZyy4KWKUziQnBvICsE/KF/qi2HeL7PN5hDpqhYXAISlfqKJ0b8Cf+CHS4LOO3OLRi9BG9i0VEQz4E7cilDy7F3IAODsc9XzrnUVnLLgvYlw7fO89yv4fPoOuKDj0LFnFwScNs95Zre/L9VxxrawGxAf98Z+7ZBX97rl909VBNUNy+U/QyLLlR2ui6AqqXFJTFCWL9UIHOQnqcpwYHSk6PgyJnA8AD4SjniWGQcCfaEWcvxr0bI2CzgqZJLv3nE4tA+aYXgc2M+rJTBW3nZEJcE3sF2aAf7vi2t5ljHUJDLnrRqC/UrlrQyBlO4Rq8qwrrhVbXEylvmuBLchlQTsRldafUr40eRZ4OBz1THntnDMWTCEZDyt8DsxP+UK6MxY8BaEDmaI8GeAJhJ60DnAGYnhZGZYDwIKUL7TUFAwNBdqjESrSPITBcFY46ilVA1NFFaOQdkc2BJ7Eeu7qQ96HCNIGyO79Aniyuavdrt3NUkGeUITdvJyPASDa0dp9aol93o8EMgudnwHgnI7W7tOLfd8QBruYkWwlfzjquaaMMY6AMxZcG2GbNCLnaGoFJO6+eM4xK/Q6PsG+HZbW3NU+wvFNuyMuJAO2E+IYX4qUR9yDODvmOZsCcYU2UBahL29VsN+HsRdee7W5q30DY73bCsmKfQrcXSjAkvSqc5BWWqshAf+MMZZLn1hj5klPrjlzY2TNm4MENioJcvYhQdmHEXaTg+IMGh0pG8l/J4aNnwNMEZq2zpb/Q5g5djWB1yFskXUQR9ekxr6NnGfh2tsL/Oyke1NPIdeqB3jFtBGSXvUQ5PkqR13dChlgOVdcs2zlknZHDjP2byUEdXBzV/ttBdvXIvd1M6QcpPB7/cDVzV3to2i1aXdkHuJDzCWX0TdbUGxtsCOqmGBMambRGQsuj3DHZxZ8tDnimG0xxl2/glBNraJSdUjT2IoQjnr+G/AnNkLoIj9C6BcXAzeVSR05A4lsFT70Q4iC4YnhqOezUd/6FiDpVechWdQdgc/2XWPHL25eedMhFKUhttr23LHSxmz7xVvUZTWen7Mq70yf/2LKFyrLUQz4Ex4nc2/IojscKEwbhs0+Wh2H7sAxcj4sh+b7IqBl0bdwoDQC6OiGQNkoKMb5vIfcIx2oDfgTryI01wxidItzoDjQgS9q1uCRaSdoP+49ZxiJWp5gOooAhkz0vcZ1+wHiLFqhDxEoqQjG5F9OXx6r72rlHjPgTzQhGff5yDxhLpAHUrw+16yRM7cfRBayYrUUk4mzEaO28L3sBc4x6wxTvtBfnLFgDJFwbwQeSflCpsjR885Y8ARERr/QWewH/rU0HUVYUhNxkfFTRRXjxabYC2s1IfV7N1I6o7552h2Z0dzVvlT7BRYgir2jmD+39SPO8Dll7PNIpNZrOjlnpBcx7iN2XwII+BM7I0G5wrrqjoA/0ROOem4r4/j5uAFxjEynTUGyhp5fHP5N4pG/LVcsY/l14R+au9qTyPktQdodeYPRtPdacvO/6Yz2GT+HWBzrZMQ+tHIUfgNL1rsnjR87XIk4VeYxzRZHR23zzqIntnln0X3I9fjkvN2ceyBCTsXaVOSjCRG++zOwFnAU4jjbPT+Dxr5/gLB2VkHskks6Wrvfz9tuiWKuDeo6Wrs1xClfgrbOlp8ha3idMYYsMICuX/Gb+z7aGQmCDCHn/0XSqx7iimuPISyBQtpwJZDjWMCoV7bTK2hCrt1tedvvjwQczPKVGsSZNnsJqkggwk4M8gwkYJ2/FtcgjvDFyNxUxQRjsmmov7Q5Rh2wnjMW3DTlC42FohIFfsHoh3MYeCHlCxUWKJeFcNTzDkInHct3Xwz4E3siE9fy5GiIf0KoYFPSo8SIxG2H1FXWIpPEvfkOTYX72wSJqtUCjVnQf/neo0pL7xf81bUbKApf1M/g9pV/YH5lgDIFUwL+RC2ieNWU7xjW6Cq6jbhoFl1XQFNQCp+rPoSi8cCHs74I1GTVM2o0R80KfTPtnEWQSamGkY7o5jbbyvGVOt6v3Tpz1/Q/rXPiRb/rLratK649n/SqLyMLR34kV0ee1Xix7y9ltCJ1oIXXuZHi6qyDiHG0F3JdbwEuCkc9E9JIeAy4BBE6OIrcuB2IcRbN3zDlC6WxoRulfKF3nbHg7oghZgor1SOBoKMmZeRVVLH08BX273kWEbsx6WbFoFNeW6EpQVtnywzEsbCD2eJgEJmfL+1o7S7p6Ha0dr/f1tniRoJiPze+HwOuLqMHXggbYRggTJ6hXQrOWHAtpPbOiuE0rbdePxZZc72MDsD2U0awKe2OrI4EVK3gQJ6dZ5D1406kxcYIFfmkV53BFqxb+9kW1zV8uPuuaA3NCoqOOOe/bu5qL0sIKOlV5yJqmlaZ0mlIG6dpyLOaPene1AXxbedv+uX02o8oL7MMEjh2GeIip7d1tnyOqHsXZhgHEPtvJsJC2RKxAz9jpO4FCKvJ7r3oQdaVUeho7X65rbNlDcS23gF5Dy8/6b6P9gaOZ2Q/zGnAPUmvuqkrrr2Z9KpHIM9kufoaJoYRbQO7HozTkBIzO7jT7ohi0Jp/ZIzBKnh7K+IIP9rc1V4s4XMg1gwfBdgm7Y7MbO5qn5IeyN8nTCoN1RkL3o6NpD3ycJyY8oXG1EzS6I12KTmjbQDpYbfTREf5A/6EgvRIWRnoCkc9ljzqvG3XRV7YV8NRT1kZtomAQYG8FcmYmQ3FexH6xmnAna64VrZSneF4voMocY4wCvodtfzJvRdPzx0VoOsD1kr5QiWbOAf8iR2RhbAw82wLHZ3e2oFs03B9xoFDRyZjB3Ca2b/SGQvWIOe83I/f3oDl+2YWZinHi4XAXuGo57+lNkx61eUQFdmtkEnXgSwcRyGLxafAC1aU0oA/sRxSc/fRVD5HxrFvQupyrWCOpXDR0YDnwlHPlpM2sDHCGQuuihgVCnDPWHsjGnWQWyCR6hcMB7OKKr5TMBqrf4r13NwH7Nzc1f5U2h15neLOV1dzV/t6kzHGsaCts6UJmb/tAuUDHa3dldAUxwXDXshgX76SAeaEo56ecvZniP/diThqVnhvjc/V4867dca1c3sdMxoziqqj6wpKL+Lg7b5Z+5c/RLJpC5Cs2LkpX+hFcwdpd2QDhOZqR2n8prmrfY7dGJNedTfEGdIRO6VXGZreV/PNevs2vv+zJ6zUdovsa0OkZrtcG6IP6DxvN+d9iNNSR+mkST+wbkdrd3dbZ4sDKcX4ecH3dOT6HYKIzpltQ8xjfgJs0dHavcRpbutsuRwJyuY7TkOIzbVxR2t3WSrWRnuLz7Dvh3mVK64dbmy7uTE+OxryZ4jzZ2aN+xB7ZXM7Iby0O1KDOLh2TmhPc1f7DGPbR7Dvf/kVML+5q71ok/q0O9KPPRV4EFiluavdWnmxijFjsvssfoIYkFbIIlTPMSHlC10FOBG6wmkIfWz9SXAU10EUwh5DshGvBfyJ+wP+hOVkGI569HDU0xWOep6bagMfuRY7kWtuivH/1ZGJ8ZOkV22vYH+bIun+UZ5WY3aYfT4e0YpwCHFMf1GOo2hgBqX7E45AxqHx/ErvO+5b82W9r2bwbOScW0xHESDlC2UA7+z+pv5Ppy/Us0oWLS9IrqOb9Y9jRS1lKnS54tpXrri2E7AxEs3dG1mAb0cWnUeAt5JedSPzOwF/whnwJ+5Fah9eBj4P+BN/MurSpgqLsL9Gw4ix0Ecu+9CDLDT7l9pxwJ9oDPgTWwT8ifUMY2lSYQQPNkcisdsjrTfGdC1TvlA25Qs9lfKF7q46ilV8V9Hc1T6AGLJ95HrZ6sgcf1lzV7spDNaGDT0NMbJPnMRhVoyO1u4+7CmNGlOsHGwwjoo5BaU+L8Qb2BvSWUB7ZwXtxn2P+GbW7z2L1bvWHdDuXG9Qu339gT8AP96s/cszkYDzHsB6SBbncWcseFDeft6k+Po5w8ggjULSq66IsE2mIVRbBzBDr+uZNzzv6esXbRGs1CZNUVmmrAk4+KR7U48jmb+rkCb3L2L9HOvAGx2t3SaL6GCkXr/QwTQD1+citXT596AJoaP+seA7bUhW+Rvj2AMIc2Xbch1FA+tRvB/mTuYvrrj2DEL9LYZ2pF7/aeB30176bdvM/4X+nnZHnk27I5el3RF3/saGc3cLI3temxhiZL/ETYsct4Hy2lgVoyR/xjj8iirsMdk01MuAQ7FO9+vYS1GXhZQv9JVxjElBwJ+YiTiJyzHSYTLFcKakGXcFOAF7aoUZSTo96VW7XXHtRlhSV9qGZID7EBrFDSlfyJQttqWvzh0cEex8F9jCaJxeLp7GZqI3aKi6grLkumfRGXZofDTzK3RFz97mfubrlC80iocf8CemHcR2v9bRlayiZ3V0h4KiZNB6VRwfKyg3IrWEldIxZBjwZjjqqagu1hXXkkAy6VXvQWpiG8gtKNOAR5Jedc3L59w+hNS+rMBIiuxJCL35mGLHMZyvHyLS6CYN+a4xKOv9E3H87Nox/BzJKByGvB/3A535AkE2Y/sdogJnttz4IuBPHBaOeiqu3ywHzlhwOhJ5XpOcmMBewKvOWHCnlC9UStq7iiq+l2juar8r7Y5sgjh8WyCG+YXNXe0P5m3zX6MH40XGNgoyR74DHFcunXCK8WtkTmgiFzDXkN5ypyyF8dyIqDoW2mMa0gu4bMch5Qt96YwFr0fm7sJM0zDCjmrUHPDIWsM8stawGTQ75czdex9BynDybQjV+P0fzlgwkfKFFjV3tQ+l3ZEzsa/FVJG6sh0A0u5IE7IWLWILDsc6SaEg2dAfA/cmverayBrTgDg3jyJOjwe5LjcBryL3q9KAYwbYsaO1+xrgcIC2zpZ6pK/oxuTWPFMN+9C8756I9ZroQEQX7dTP65Bg8QnmH4yaxDPbOlvORtbQxWVQlq1QXI13dD/MYloh04D7XHHtEgDjPv+LHFNtI+DgtDtyaHNX+y153/Mjgdi55J67PiTgnd8ObDHW1w/jHMqhj56K3CsrMZ2TK8lMV1E+JtVZTPlCzztjwfMQQ7cBeaGGkJd1v1IiKAbla0+kuHoOIhxyacoXmiqhmEOxbutQB2wQ8Cc2C0c9z07RWEYg6VVnAz6kR+FXSNH2CmV8tQmZyG90xoJrIA5bE7kXfHPgaGcsuNN/ZDK2dKiGcdA1c0QQ6N0KHUXCUc+nxwRueqAhU+up0XPzaxadrJLNZtEHFIUmdAUUnUE1w0Orv4qu6CD3xY7qcjmwnYLSoOq5W+dAVQBvOOp5IuBP7INE5MqBKXrQi0xIJbNnVjAWwB8yOvKrIM/UkcYxrGoFmwBfwJ/4k139n1EDeiuySJuT+4FAMuBP7BCOeiq5P/9FHM29yE3uOob4QDjqWYg8O09XsM+TEUcxf7GYBtwV8Ce2DEc9r1awr3IRQmjh+c/xdMQo+KMxniqqqMIChrhJ0QBVc1f7swjN3uzNqBbWqC1L6GjtfrGts2VLRHhjN8S5vR04raO127bEZBIRRMTx5pCbp4YQtsYJdl8qgl8hNMjdEQfRXL9ewT7AXY8E8izX+/phsqfcP+28dCSyCmK/3cNIIZtCbJp2R9YBLkTWIx3orv10i/Tw/P/ZZT5rAVfSq+6OBLBNTYGTkHtkCvXoxudZ4/iFYzBpvXZZSp1cKQUAHa3dg22dLTsh2fQjkTXibuBvHa3d+SyiZpt9glyPYhRmy0C+4TSOhzb5BlK7uIbFZwOMrsMvFnxQje+Yisi/YeS4TfGgq9LuyL3NXe29AM1d7Z+m3ZH1Eee7lVw7sHhzV3t+VuEKcv5APjSkVvGbImPDONZTRm/XyxCb1xTf+W1zV3tnqe9XMTZMep/FlC/0B2csaPYhbEGMy4tK1QwZNLFbkGiSmRHYBPA7Y8HtU77QZBiWhdgB+yiIWbs05c6i4XQUSmPvg7ww5TSOXcv4N85I1TSQ890YOM4V185NelWzf9uIRURzOLjZuaQHbA9jEGtxxoKKY21lvU0+Xo01vp5PVtFx6AqL6/t5cpXk4MKGvhuae2Yf0DRU37S4foDPpi3Md9t7sHBUAv7ECsi1sFqQGpFI5J6IYm45zmIfcAdy/vcDV1fodOVjc+wztY3Is16DfXZ4CIne2bVD8JOrVzUxHTnPKGX0VDQRjnr0gD9xCEK78SOL5KtI+5eHy92PiYA/UY9EBK3eJ9NQaa10v8VgBJt8WBtADYhRVXUWq6higtDc1V52TfzSREdrdxeSuVrqCEc9nwT8iQ2RebYVWY9vQoTxyirpMFqUnUROoO1NZK37Ggkm32/8FMvCzcciKzarX+GfV8+aNn+x4//IOWY7UNzW6EXUtPN7G67Z8MHeLbo6OJxZ/iWr7w4hJTNHMHL9LlwzFIu/5SOLZABD2Dewv7fwjwb1859tnS1Xd7R224k7vYiIuVhdxzqEAmkn9vIiQFtny8+R0imXsf3fEKfUTkCmKFxxTU961RTWzmIdo8/1WkQMx8rRf8sV1z4y/n849uyrLBJIXuKcGe/+X40fO4SM761Bzk4ZQOy5soXimrva70u7I6shjKFa4M3mrvYx9yWtojQm3VkESPlCpaSPrXAQ0q8uf1JoRCaR64H1J2Z0RfEpObpcITLIJLw08C+spbFN2kSxPkAAi5yx4HxkYbGKvjUiPdvORZyFm4HthxWHY8hRU6+jcKZ7Tz5sWg4k0/QiktGqFOtmHfq855zv8tKK3cwabGRQzdBTP2COYYtPZnzzBUKdyb8Hw8BHyOJXiDWR62B1DRSkBxFIzWEW++jjELLgesNRz/M221SKr7FXGNQRvv3sEvsYgCWUzvWM7V8NRz3fYE9DrgcOCvgTx1ZSR2u0jLna+BkvXEU+U5kcuetG7CPfADOdsaAj5QuV0xqniiqqqGJSEI56PkeCaUX7OVrBGQt6kZ59ZgN3kHVwFyRjtU3KFxpwxoKPIWu+lQNQi2QLN6LAwTrpwSbmLXYotVklfy6dRm4tK3ScBpD1ecPCzxRdrW348Kf0zH0ZET8dgUZkDRtvHfsAQoN+Fgno56+JvcAprrg2iu7Y1tlyEKJev3pbZ0svkgX7Q0drd/62Z5Nj7uSjH3GcHkXuhRVF8ndtnS1BhJZp2rWrGsfcra2z5SdFnFRbJL1qC1J/aYVhJFN6irGtgjjxRyP2v2n/ZI1zyHfYLIMHBmoQymlFaO5q70m7I1siPSR/iTyLtwIXVypKY9BNR5QDGUmmucCilC80FkpvFTaYEmdxjDge6+iRAqzmjAVdKV8oOcljuALJTFgZ4A4k4zSlMLKKa2Dt5NQjk/RcZPK3etEHkPT9bMQhsosczQZwxbUeYLekV127Vs9uds+8dRdctOZOnmFHzXpIYfYlSKTKbGReCaZjZNoyqsaXTaME36YjbUBuAdzIxFeHFKT/wsbIL9ZwGOT6gDhA/4f1MzYIbBmOel4q7zTKxgPYCwP0Af9AaBU/xDoiqgIPBvyJzZCASTNyzesD/kQpGrJZE7KEwh3wJ1ZEqFgHINfsaeCUcNTzWAXnVC56KD7f9E7CMfuQgM48m88/AbZxxoKvp3yhQmnzKqqoooplGs5YcDmkt5wV/bEOWSNuQZqf/x04jtFr/iCizXA+Us+5pJazRoMfJ+upy1r6b3aB1iwiPmg53ytaA47B5cg2jJpyy2FFlQPTCdoNyTAehwTXXwfOcMW1Owu/YOHETUeYJzu3dbZs1tHaPQjQ0dr9eFtnyzHINc+Qq1G8Dzi2o7V7oK2zZQ7iAJrt07LGGJ5H6M6FgewmhB68CxYZzzKwKSN7G+ejHiMQm/SqKhL435lcYEEnpx8SdMW1fMbef5EaUSsbqQEYk/3d3NXej/R8HE/fxxEwWEQB46cRUJyx4K3A8SlfqCp4MwGYbDXU8WD5Ip8Nl/h8QhCOel5ACvd7yRn5GcQIPSwc9UyGgVsK87FWnTLRjwiPnIpQHPIFR3oQZdczgfeL7EOngF7rimtvuuLatSf95fmz3jv83K2Rguw4QuN7A/jaGQv+0xkLzq7gXF7F3oHIAA+kfKEPU77Q5siEeCBSL3gRsIYzFhy1goWjnveR5ul2Tpl5Xk8hE2fhPewD2ifBUcQV1waRjHkfIx3rXsThfgSJsj2P3MfCcf0aee7/gwQMpiEOYAMS1LAVl0GemSWZ8IA/Mc84jukw1yKO+b0Bf2L3MZ1gERjtZt61+bgfcZQnFClfSEdoL1bvaRa5lgkg5YwF485YsFRGvooqqqhiWcLPKd73VgXWdcaCa6d8oRTwEyRguBgRE+lH1p1fpHyhHmBbxEboAxY2DSkDDrumx8VRVDxubLssG01Ina3mimthV1xb1RXXZrji2hY2juIs4A+MdorqgdWQYOoSdLR2/xOxw45AkhobdrR272OK03S0dkeRAOVeSN3ovI7W7muN/9sF1KchbTfGgq8ono01A8S/RASEpudtbzqzjQWOIkjNYbH9HgGQdkfq0u7IAWl35Ka0O3Jj2h3Z12inURRpd6Qx7Y4cknZH/pR2R45IuyNlt1CzwAWIsz8HsYfqkXfjKWcsOGWtcL7LWJadxaewr++qR6JEk45w1HMy0u7gDoRueTWwRTjqsWyaOgV4A/uJWAOedcW1bldcCyMUh+MRuubdCMVga1dc6zXEhaJYG9L9SGSsGGJIjcRMcvTgA4HHnLFgWRHClC/Uh1BdrcYwAJyT9/tCJAt2PZIZvRd41xkLWtUdFotYHR7wJ5oMyXIvUij/AkI5fgjYOxz1XFjO+McCV1y7C3F8Y0hbjHuQxehXrrimh6OeDCJ28EegGznvx4xxXYlESq3uf5PxY+Uw9gEXGvs28VvE4bcS0rl0klpaHIYELPLH0YdQSUo2gx4jLkCCGgPIc2Y+a6aokOls748sjlVUUcUyhKRXVZNe1ZP0qmckveqJRvuFKgSzKc6kAQkUrgqQ8oUeR9oT7I0Y+xulfKHdUr7QIuPzt1K+0AYIrXH/rAN3TVapNDPThGS6LIPaek0Pev2EVPAU8zh3QAKh5WAn7APwlk5cR2t3T0dr9786WrtjHa3do5TRO1q7+ztau//b0dr9RF4tYh32zpdC6fIhOzyKffuaHnICNydinSWsAbZNetURDByjsb1df08F2CvtjjQj/SUvR/oy74est0+m3RHbutK0O/IDhOV1MVK/eT7wcdod+bHdd+zgjAVXRKi2hcerQ5z6AyvdZxWjsSzTUEPIhGbFDb8m5Qt9PVUDCUc9DyJSvUsdrrj2WdKr3gbso1HT8IW6Bgo6y2vv4EAbBMJ52/YjrTCutNndGYiz9ytyClk6cKSxqFjCUFH9BaMntzpExGhvpEC/HJyNKOntYvyeRZS9/gBs6owF5yCT0X+QOoz8Z3Ya8IgzFlxgREVN7In9pKwZx7rdcBivNX6KIuBPNCP00AHggWItIkrBFdfeoEgxt1FXGMFamvzH2BsHfUhgwENOAU9HmjQX9nhqLbKfuYgI0oTSvMNRz3MBf2IjRBV1V8Rxuxy4bDzXsxgMqvJxzlgwZBzzJ8j1KYw2NgI/NZ6l9ydjLFVUUUVlSHrVlRA63DykL+8A8JekV/W74lqhyuP3Ef9DaKTFArT15NV2pXwhDQmM2sIQEHwVIP23yNlIoLaYqEwhTDbWiICkjjY8sOC2LEpFbav6yOkQ1CA2grmu/QzrpMc0pP4xVmrns/oyMxY1qg5dsY2PTlTg9CHsawB7gNvGslNXXNOSXnV/hCVTS25dN/d5j/G7XTkGiP23AnllKgZmFPmOhgT012a02vj6wOlIz8YRSLsj9QhtN1/N3ny2bku7Iy3NXe2VlIXsiH1J1XTEVi35HFRRHMuss5jyhV52xoIHIJk8czKoQ/j3xy21gS0bOO61+p/u+mzDwQ3iDigoZGkZfvqaIy+OvlDuTgxD2u+MBf+MOGz9wGNGj8Vi+DH21JfpyARe0lk0mqXfQ64/F8hkuhIScRpC7v2XiANT+LwqGOItjOy3WYzOUEpJbQQC/sQqSJ3Bxsg5DwF6wJ/4dTjquaLc/VSKpFddBXHiN0YW+ksNJ7OY2qADydT+BnGYN0DaRriAvwf8ib+Go543jW2LNaXXS3w+ZoSjnneRbO6UwqBgXemMBQ/GXt58GKkdeX+qxlVFFVUUxa1IANKc+80A5XlJr/qsK649C0vqseYDPVbiJd9hPAq8jYid2SmMPj7OANgFiMjcceRacdQh641VwHEYWdf/bPzsb2z3ZLbpk79kZievp/wexxlE3fwBxAH5CeKk/BtZ53fBfr0v5hyR9KorAFceUqPscukOK9Vr1iteL3mKn+NBR2v3u22dLTch9Mj8JMgQUj9fboAdgKRXXRM4Cwl+OhAG0qeIvsNnSI1qwhXXzAzsK4hjZYUahMk06jCI6JEVMkgm0U5t/CgsnEWEnmsXqK4HHk+7IzcAHc1d7eWoAWconmUuu09pFfZYZp1FgJQvlHDGgvOQJuYzgadTvtBHJb42aTDk//dAisZfBp4wslNThqRXVd6o2+W//2v8v+U0xVg3DTfr3brtjzj5xNvuPOf8ff5dyT4NcY9RXP4iMBcMK+iU/3L+DCm8L8wem06gOQmZPQOtMB1ZMPKdxQSwjcV+QSJlvw74E5+Fo54Hig3OkDP/X944VHKOxt8C/kR3qX2MBUmvugeieKsaxx4Gjkp61ROZc/ulSAsZK4e3B8nC6ojxcGjedusBhwT8if3CUc9diAN8ONYGRh+iBPtdRDFGgk55TYGrqKKKSUbSq66DBLys7JQG4DdJr3owUp92OjLXqUmv+gjQ5oprS6Nnoi0C/oSSby8E/IkaJKi3IWLk3xiOeiriZ6Z8Id0ZC/4YuBFpq2TO5zoyj79NQc1dpTBUJ9vT7kgYoWxqiPN2IRKoLczsDQKR5q72j5Bael/+h0nvRTuSc/Z0Y8x2NEwN2NUV1+5HnJ1XcvtRZ2KfUdWR8hJLJL1qHdJ+bEFDRq/d/P3FPNsynUzNiFMZQqiSE9m7zwd8iDjepjjOHcCvTBEdY3z1iCO2H+IMXQfc7oprGePztZC1fjq5wO7OiHO7vSuuvWhx7DMRerGVUuuVhphhIf6EJGysvnMRwhKyw8y0O+Jo7movTCysgX3AtgbJVAaAk9LuyO7NXe2PFjkGSJbSzvnsoVpeMiFQdH1KfZ1vLQL+xI5IVtN8wbNIBmLXcNTzSZGvTiiSXnXrG2Ze+vhidUVL56k22/f+WRfsv9pkjsEZCzYD72E9uQ8AP0v5QvdYfFa4n7uQou/xIoMsIv+X8oVeDfgTs5CI2FzsM2R9SHN52/rGgD/xKsV7MT4Wjnq2N7ZVEEd0sJL2FIVIetXpCA3Xyhkc6FHmrn/97CsvRTJg5jYZZGHzhKOehwL+xHZIZNdqH70IxXcIWTxmMnKx7wOODEc91431HKYKAX9iK+Qctkaeu6uBP4ejHlsKizMW/AkSwR11bRRdX3TWq7estdVX737timtj6nlVRRXfFxj1SmsCHzV3tU+4Y5b0qj9FSgRm2WzyIhJUK+zfqiFBIbcrro2n2fm4EfAn5iOlFgci6+VLiCjcO4iwzEzE4O9D5uFDx6qH4IwFN0IcxmZEwOYp4L+G0NeEIu2O7IHMo4VGfwbYo7mr3aqt1RIkvaoDEdNZEaG7HoJkoawCAwPASq64NirQl/SqlyC1iVbOzC6uuPaEzfH3R9Tup4N4li+v3MSTa86kr05FVxhEUa4B2jtauye85Kmts8Wsp/u6o7V7hJOW9KpzgCcQRVlTFb0HeA3Y0RXX+pNe9Rak3KfQUdeB/7ri2g5Wx0161aOQ+sAM4qDXII77oa64ZhnkT7sj7YjTOJz3nWsRhtBHxnlYobu5q32Bxf4OQATtilFcTXwJNDd3tRdV2nfGgu1IwCj/OehH3rftU75QpUr9yxzaOlsUJFt7CrAKcm3+Bpwz1h6dlaDqLJaBgD+xEuJ8FBqYGeQF3mSqMoyv+Gaccc2sa/6gKzY+kK6DoqhGj7wlMPrr7IE8bMsjkcFLXHEtPZZxOGPBPyECN4WTtIZck+3Novki+3gYyRpPBMyskDvlC30c8CdWQyJKm1G8xq85HPUsLvwg4E+sgSxixYrOF4ajntkBf+JghA6ykvH3O4Ffh6OeDys9iaRXPRSh4Fq1zhgCzr58zu1nIVnDo5GakNeQDOQayOStI9fVLhs7jCzAKiKYZPae/ABRgh1Lz8wpRcCf2A0J3uT3FjPpPJuEox7LBd5Q0L0e+Cnm+6zr2f0/fCbzy/cfG6jTtQbk+l0P+K0MlCqq+D7DUC28CqEEDiBzzwvAgc1d7R9M1HGSXnU9hNlhxRDJIhTV3W0+HwDOccW10ydqPJUi4E8shzCQ5jEyA9aHrFXzGG3s9wEbhqOed4x9TEPqy3dEeibGCpW6jeDtPxCGjWnQXwKcmvKFJtyITLsjCpIdW9ni40Hgr81d7RX1i0x61WcR4TcrLARaXXHtbovv1SHP4t6IPZZFnJk2V1wblVEyHLH1kVKNfQo/14GMQxlUdD3ojmnnV3IOlSLpVbdChObWQ5TCo6649kDSq8aQjG2h3TIA/NUV136X9KqDFp+b0IDprrhmKXqT9KozyL03/3XFNTuV8iVIuyPLIe97LfCf5q72D42//xr4C9bO+gnNXe2XW+yrAfiYkTWLdlgEHNDc1V5O8uEXiDaDi1xbt3NSvlChsvy3Em2dLRcimel8P6QfoaL/pKO1e1J9kGWahroMwWxgWogaJLK6ObKoTTpq9KFehSy6TcJMIavpqEseGmcs2FCT1fY7b+bKf1xn8Ser1OpZc4L5AXBi0qv+yIayUAqLsXakVIRGcC5FRFwM/Bu5dlaLfSHMqJeCNfXEpK4ej/QKfA/YNuBP3IFw+q2QQXoxWdUKzEEW3mLO4tcBf+Jo5Fzzz2FPYJuAP7FeOOopqiRnZEG3RSb4/x4hkdYlNQD9yky66n/K+3Vbo+ha3YqZV3cHzgtHPTEgFvAnDkIMhQbE8FiTXH8nO9SSu4brIDUJnyDO7zIfPTKyuP9g9HNjRmuPx0bN16BttSLUrOOB+ae9fkfmR5+/uYpjZO1LK7BV0qtubLfoVlHF9xR3I4Z9fqnA5sATaXdkzeau9gl5X1xx7bWkV30DmZ8KF7wBRPRsl1FfFDQgtWGnlzpOW2fLdKSubjWEtvmvjtbuiRDc+jW5nsf5aGJkkCsftUDCCFCbWZwsYiBqwJEBf+IiQ6Udoy3AU0igspbc/TgGWUtGKXk6Y8GfIk7KakiwMJzyhf5TwXmtj2QvrWBqCFTkLDK6VVQ+FGzUPo1s2IFJr7oa0vqpB7jXFddG3D/DqbwQyUIOYqNboAC1Wd1sjzZpSHrVNuCv5NbttYEfJb3q+UgW2soRbECyeb+jtKaAbacDV1xbjNCWy0ZzV/tXCBW2EBciz9HR5BRla5A6V0tNh+au9oG0O/IThD5aQ3ENCQf2mcsRSPlCN1Fh3ee3BW2dLash6sWF9mgjUnL1I+DhyRxD1VksD5tRvCDbjIBOOlQyN686/PTZ3bVbqboy8vYpeoYGfdEdZ5z/fzqAMxZcHXh8uy/emrVmz2eNtfqIZKPZi+ZfSa/qyiuCLglnLLgLsgjbTUj1wCHOWPDYEpHNKxBuej2lJ78sEl0NIs6f1fYNSPb0lLy/FduvA3vu/BtFPjPHcymiBlbotKiI43EcNsaK4fD8AeH8DyHrlHrvtN9fsVvvnweA2sWOedw+41yGlUY0RdaOr9WWTYDnAv7Eloiza+U0VSJOUwMcEY56TqrgO5MOQ332aHIR9Q7gfsOZXRfJqFqhAWnRYdv6xRB26gQ6k17VjlJdh0TO90PorWadyF7Ic3OPK669QhVVfA+QdkfmIGyGHbFma9Qgc97+SKZnorAPItwxB4PmjySAfodQzIqhZO18W2fLD5EadwVhc/QA57d1tvyko7X76bEPG5CAk12w0S6YV4s4Dlafq8hcf2zAn3ggHPXcjzgWdg7pvs5Y8LSUL7SEIuyMBc9GnFjTQF8V2N4ZC/4h5QudV8Y5gQivFVtjxiKOdgX2tfhZ5BmwhVGfWowKfRkylzdQukWFitT0WyLpVRcgQQoNuNMV1z4tsb/C76+AUEHzx2EK7/2G4tdvtvHvI8i7aPWcvFLoLBccfy4STNgPOYdrgH+MRRjKqGf1G/WsuyLv5j3NXe2FqqqF3/tf2h1xIkHbw5E5xSoJ4ECy8993/LTIZ9OQe/nwZA5gWe6zuCzhfeybqWaRlPqUwBXX3vlB/w3/aNAX66qeK41T9UFq9f7efsdy+UqT/wbm7f3xC42NWUufTUGijxtWOIyTKZ0NVCmhOpryhRYiBdePIEZAj/HvMLnrbUb5fpXyhZ5C2kkUi/oVUkpvx7qPI4iB81+bz4o1OgaJhD6JvdCP2bvPDkcjNRqNSE3OTGDah7WbHfFe7dZ9gPZ4068YUKYvcRQBdEU125P8HnGa7XqRlos6JMu8zCDgT2yK0L4DSA3OzxDKacxwsmspfn/K6vNpoFiPrenAAUmv6kh61X8gi9ZZxs/TSa96U9KrVnKsKqr41iHtjmyHKCX+BXHe7OhvM5D3acLgimsfImwJH3AeBs3MFdfORwK0dvNfH9LvzRZGM/Y7kXGbtP/piEF+T1tnSzmMl2IYq31VqlVDE9IWAuR+WJUsgKydO5i/OGPBdRjda08x9vdnZyy4EiVgUFAPKrGZraNVBNch5RT5GUZTpOeo8dSQGwHBAyiPwdQLnG7lABr9Pq9AenxHkXqx95Ne9UyjzKdc7Iv9+lWDva0JoCS96tGIg2eVje1DHE5LJL2qEymvORUpP9kYqft/IelV7QKwJdHc1f5Jc1f7P5u72q8q5Sjmfaenuav9CuR6WOk8DAOvNne1l63w/x1GsQCCUuLzCUHVWSwPl2AfpRxginswLpf94Jif9JxxlHvwrvQsLZWdqX08uOLwK//SFXWVcNTzGSwpdl8AOGYPFWVUZJAaxkqwdhnb9FKGsmTKF+pO+UI7IwW7myIL9SZIpPFR498tUr7QP42vPIX1xGIes5Ajfy1S81BoVPQBN4ejHiu5aJCsUjE6VabIOExYGjIBf8KBGD2jnWlFaXpo2m++7GfGu6maTcC6NrUeMZ5mMv5JQqN4RHZKYTiDNyEGnBl5NaOuv0Ac5C7sjcRhJEhSLko52xnEsTezBPWIM9qIZLH/UMGxqqjiW4W0O9KIZN5mUNrYNoVlJhSuuDbsims3u+Lab11x7RzDgcRwIH7F6ODhIOLcluqt1oq9Y1aDGLHjwU3Y2w1mr8CxQEEChmAfCMXYf/4adhD2bDIdmV9LoRF759REuMTno2DQSXdAej93IzVnDyJKqP+qdH8F2Izia3U/IhbyJHCAK66dY7PdqeSEiqYZPw2Ic1bKgc7HbOwDLrWIcJPdc+NAqJ8XGON+E1nzhhEncE9XXCvWQ/NvSD/F/KxmIyKmc2ZZo59gNHe1f4LUUH6JBPt7kHf6BexLiJZZBPwJZ8CfODPgT9wW8CfOCfgTq0/Abu/Bfr4YYIw9OitBlYZqA6NNxu6II/UCcBrSM6gWuW79iCG5ZzjqmVKlJYMyevnWox2jfKyKEaHqmrkSKw98Q41uGcyqx2i+WwHeRyYXO/QD5xp0v7KQ8oU+R+iGIBHGX9lspzljwcMQFTyT7w8yubzEaF59L2LsHJH/Rx198JX5H0SdseBMGyGezymeoUoDz2PvbPRjL9k8B3uFP7JKneva2VfHgbWKHH8asriNF4OIBPaygk2xD15MA44NRz13BPyJU5BMQ74BqyPXPVLB8e7H/j73IMGG87DOkjcCxye96umuuDbeDG8VVSyLsGt6boVBJpaCWhKuuHZj0qt+jtDON0Xe2SuBs11xrZgjBVKvbcd+mY4Iho0H5yMUu+UYGdTrQ9gJJ5JzvgYoTY80oZGj4F6F1MhbOXA1SH2piVnYz3V1lKdO2Y+M36634ddjFTlyxbV+pKzDzlkbKxZh75wBPO6Ka3a1r8CSPp6/wTpg0oQEDa8tczxPIvfb6p4tRpzBS7Afs0ruXjUg9cIflBJjM9px2JXw1CE082NLDX4y0NzV/pihrrwzUqP4cnNX+4tLYyzjQcCfKGx7NgQcH/AnjgxHPeU+H6PQ0dr9Zltny/tICU4h6piCXpJVZ9ECAX9iF+SG56d3u5Bm9PshUb2ngCtLCZgsRbyFMdncsMoW7Pj5G1bOYj9wS6Wce0TQpVh9QScQqnCfo+CMBR3IYvtbpID/PUSG/AaEnvg7pLj3G2Ry7Uj5QoUvzd7AwRQYPFn0OSv0znwa0Jyx4APAUfk9PMNRzzcBf+JuJHtUOGn3An8NRz3DAX/iOEbXDQ4jTXEvtTm1XopTjRajKAcX+Rzg+XDU80rAn3gSEcjJNzSyxhhqsTf0TKrvH8NRz/MljjWVWJ7i2b5mgHDUc2nAnxhAnofZyHv6P6Dtug0f++C62GObItnqN1O+0Ot2O3PFta+SXvXPSJ1r/vM8gNCNbkOUUe3QiCzc3xQ9qyqq+HZiVYrXbpvoBa5YGpQxI5Oy/Ri+mkQcHysHoIdxMi7CUc+nAX9ic8Rp/Cky53cDwXDUc1PAn4gi2bxNkVIWL9bGYCEGkQAWiEjIY8APGXkefUiA2+uMBdsQ5+495D5Zrdv9SN/BomjuatfT7shFgJ/Rz0Vf3rjKRtodmQtsYYztiVJtEsaAJMWf4SeSXnU5V1wb1ePSoLBuSnF9AxCRl3LxX6R1yrqMtC00hAV1M/LMlIM64EhXXDuujG1LBSOKlg1NNoz7fu/SHMN4EPAnZiLCQfnvoXl//xHwJx4KRz1jKlkzKPEtNh87kLKkSkSqKkbVWSxAwJ9YgEhyF744GwORcNSz7VSPaSxI+UJvOGPBF4HNPpg2t/YP6+3D719PoBoOY6M2NOSQeo0jiu3HGQtORyKwX6d8oXeMP/8bcYSOIZdpHUAieHukfKHnKh2v0dJgB4Ti+gGyCMaRmgzzXmyAZFM3SflCJ1MeTagdi0lQxcG83llqw3CtOlA7vCvwjDMWXKcgy3gk0u9oRSQKmEUW1buNcRCOeq4L+BNfIU7LhuQyiqeFo56FVgMKRz0Dhkrr3ox+BweRxeLAEud1mvHvPsh18iD3oBahpvwWqfObQc5h1BEn8SGk/u7KcNTzRonjTDVewV5Mapi8bGo46okH/ImrkPvTF456vjbqcl5HMt8ZoM4ZC76A9P60rKVwxbWzkl71PYQavAbyHHcAZ7ri2nDSq36GvfrfMKPrZKuo4ruCJDKnWWWdTNrpq0gN1x1TOK6JwHXYUyazTICyolHm8LOAP1EH1IWjnp68z/oR8ayrAQL+xAtIvZ+VUzJk/KjAUeGo5wUQsS5nLLgnshb/Ggm2vY7Ul/4OUS41jddmxGHNMHLdGULu8yNlntYZSJ379nlj7UfacZWdFUy7IyqiCHoUsu4pQCbtjviau9orKSUohUOQc7TL1LUDJye96tXAsa64NmSop16GrMPm2IqJHI5yNE0kveosclnvZ11xLZv0qjsjQcjtjP3XIe/RvsbxnyAnplYMteTVpZbAIuBT7FlhVSGZ8aEYjVtBMrdjzZq3UDyIvtEY91s2qn0WCxDwJyLIpGs1sfQDm4ejntcm6nhGE/a9EarKM8DTlSiTFoPRf+khpP6uUc1mBzde+EHN1l++84+ff/R8xBXXbOkizlhQRbKDx5LLUr0NHJzyhV4xtnEjdR+zkajGHWNpfmqott6PcOlVZDHTkEiY1cI5AKyT8oXs6g2XIOBPfESu/+EIDDky/Gf1V/mqqQckKnpqyhe6oOD7dQgV66dI5PNa4PHxtpgw1D6fRSip5mLei0R/90Ayw3aL0yfhqGfEORn7cxmfvWX8bU3Eid0TWXQeRNqKlFIRXKoI+BM3I9egMBLaB2xsnl8hnLHgNIQivRwjF9lhxIHecCwNqpNeNYg454UZiAGgwxXXTqx0n1VU8W1A2h2pBVLI3FzIhlgMtDR3tS+TvUgN6uDKQK8rrn1ptU1bZ8tOiINm1kX3ImvPHh2t3SUzbRONgD+xO0JDXNkY07vG77UIe+G2cNRTUgvAyCba0eeHEGd4EFljHgD+L+ULlX0fDaGbrZC1JQvc3tzV/ozFNqsjQcr3DOXM/M/PRoR6rHr07ZC/v7Q7sjrSNsKNOFUdzV3t75cz1qRXvQSbspYC9AM3u+LaoUmv2oE4meWI4vQDf3HFtRE1f0mv6kCCEcci19qBnNuhrrh2v7FNCyLg9IErrr2V991NkIxxOcd/xBXXdihjO5Je9f8QFpbVNd/PFdfuKmc/VYxGwJ/4PRJIsXPwLw5HPWOi+bZ1tqyA9Da1swnf6mjtdo1l3+Wi6iwWIOBP/Bd7Ssti4Mhw1HPDRBwr6VX3RWoONGQx0JCWDbvZLW6VwqBy7oTw2r8Ebkr5QrZRsLzv/Q2hgBbWhC1pfD9B41ORBdFJ+bUxA0Cw0LGzQsCfeAibyJumZLlt3f8xWLPEv3005Qv9sMwxjBsGbeGXiGpqBvgncF046ukP+BP/JtcENx+9wG/DUY8dxfVbD6MRdSciT262FRkGDjTk4i3hjAWPQDIcVrUgPYAn5QuVGz1fgqRXrUGytDuR64/WiwgR7GrU2lRRxXcSaXdkfSTQ1Gj89CNrgae5q/3RpTk2KxjKlL9C6hibkCzaMwhdbxQl3VBFbUWM9jcQ9sIpSJBQRQKup3S0dr84FeM3RL5WBLLhqCc9ln04Y8FiTe57kHKaRcB7KV/okzENtAjS7sjeSC28qbD5OXBMc1f7XcbnTUiphl0pyx3NXe37GNseiNShqkgQf9DY5uDmrvZbS40l6VWPRZy2chyvAeS6PYc1bVNH7DQzM9uDBH13M0R68o9b2KbERB+wtSuuFc3kJb3qbohN0ISsaValKz3A4a64VnbfxKRXPQHR3zDrknTg1664NqX1xt81BPyJfRB73oqF0QP4w1FPMZ2RomjrbPkP4psUstH6gJM7WrsnVXuiSkMdjQ+Ql8jOcRnT5F2IpFddD3mwCiewDRD6y44TcRxDZOYB46csOGPBuQgFs3CyVIy/Hc/IXobjwW5Idq0SZV6zeLgcnIM4yiMm7CxZPpr+Vb6jCKXVTScURoT4fKzrE45AKLDzkYXClBG/H6mR/FbDGQsuh9CbP82jNwMQjnp6gb0MFbHNEKrbw+Gop5R8+nbYK/XVIUZAxc6iK65lkl51b2BrhPqsIlTshyaKBVBFFcsqmrvaXzV6ou2JlAl0A7c2d7Uvq0GSExFjOH9t3QZ4MulVNzDVVE10tHYvxKgvb+tsaUEE7fKVpncDftjW2bLTBPReLAmDtTLeYGwxxVIN6Ev5Qk+M8xiWSLsjuyEU3/zr3wL8K+2OeJq72h9CHHM7ATwHkrUk7Y7MQxzFfIaRufZfm3ZHnEbD+GK4FqHlloNBhOk1iLWzqABfID3thhAq6b2uuDbiXJJedRrWWVNz/Kayqi1cce3epFddCVm3NkOE22rJsd56ELuuIrq0K65dkPSqlyF2kQb8bzytScYLZyy4IaLEujMSNP8XcHq+hsS3BAkkoTSNkfasWf7TOc79e4GnEWfUtGd7kOBWxzj3XRJVZ3E0/o5EFK1e8sVIO4eJgB9rqmsdsGXSq66VT0uYYphS01aTpakSO1HO4vqUJ6CQj2HKdH7DUc89AX/iAwqEAxQUHCMDdb2UllqfMoSjns8C/sR65NpF9CK1kI+MlwK7NOGMBRsQw+wAjFoNZyz4BnBgyhdK5m8bjnreRbLO5eJTcpTpQgwhmfUxwXAKnzB+KoKR6agDhqrOZRXfRjR3tQ8j2fVlGkmv2oBQwQrXbwVZZ36DrL12OJPRLYnMXoQXY5+tGwEjO9gMaGY7qynGPYjoip2NMZlCRBHsVUPPQcRsvqa42vg3xr/FWlLoyDpyCSwp6TkCMaprkdr/i1xx7bOkV90D0WhQKK76WockBIrZxt2uuNZa5HOQoIpdSY5KmYJMhhP6DPBM0qvehTigOyJr2aWIQGHZqvN5++3Hvsf0lMEZC26JsBaayGVOvcDezlhwE9NhdMaCKyLnvhfCbIgBV6Z8oaJ94aYS4agnE/AndkD0NuYi91lDgvw/MYLgY0ZHa/cHbZ0tawOHIYE702a9s6O1e9LV2KvOYgHCUc+TAX/iXEQgpB654f2IEbp3OOqp+MW0wSbYX/8hJOuytJzFHoqrdZasmagAn2AvI11I+QC5F4+lfKGyFDwNNbpRKlIKCs09s5nTP42vG3v7kTqIcQsaTCTCUc8gEhUds+TyMojrEHptA7lgxEbA485YcK2UL/TNOPYdQ7LeVkaIighXTRmMmpUTgZMR4YleoxbmD1XqahVVTAo2pKAfmW78OMQR2JPizqJJPbXCBm2dLXM6WruL1vYZ8vl/w6g7DPgTbwNHh6OeqaTsRpESh1pGruW9wEUpX8hWlMtgFv2CnI7Cg+XWeqfdkXpgvSKbbJp2RxzNXe0fpt2RVxHnu9DW6MNwAJHyFLtgchNC1yXpVWcjatj5268OHJ30qlu44tpjhrLpiUjbEjv7pg4RHAoirasKt+tFEgq2MOijp1LcKf2m2D6s4Ipr3Uiw47uESxhN061BdDD+CBzljAXXRroPNJLLKq9jfLZNyhfqYRlBOOp5K+BPrIGUPrkQDYX7w1HPhDhzHa3di5Aa5gsnYn+VoOosWiAc9fwx4E/cjlAxV0Ykpa8Yb5sM4yE6DJi/Wf2++vqDd+g1DFlNWjXA0kzBl2p8f9kEHusWJGJrhUFEeXR3xGl0IA7BSRXsf09sJKMduoNVvll+8deNvRGkL+Sk9qoJ+BMNwJYI/ebpcNQz6b1xliUYQka7M/p+OJCF/5eIOt6YYCgA/xlRATR7cGaQ4IvPpp9mxXDGglsgc0MzQmu90qYOuAOphTIXwxnAccDWSa/6w7FEhKuoooqiMIVE6Kl38IhrFsnmJrIKzO3JsPU7i+pKqEAUK4fQsXckzfn9cKS1VP4ctx5wT8Cf2DEc9fzP2LYWael0JDI/3AVcGI56JqR+MOULdTtjwR8hjs/qSLDbVB893e57Rg/jS5E1qg4J5H7ojAV3TPlC5bTY0ihexqORc+b/D2Fq5AcOe5Gsp1mT/xLC6LJyvBaT6xF9GtLmJb88pQFxli8BfuKKa/1Jr/oaxQPhmlF2cCBCNTVrXk00AusnvapixRJJetUIcDTF21D0Yd9W63sDZyy4PCJYZIVapK72KOAKJNuf/0w1Ic78bynyPNsh4E84ANWutCXgT8xA7vXnlTK5jITSf5jkVhZTjarAzRQh4E/8BoloOYA6Rdf66/Wehj0XB5VZ2RHlCTqSUVxnaVLWnLHgbogjV9j4/n/ArilfaMRLZtB/foVMlDORReBMV1x7MW+fClKT2Qi8YlIInLHgrkjWx2Ecz+wBeHTKF/qn0b5jBSCd8oUqysgE/Ik/Ic6D1eKlAX8KRz1/qmSfY0HAnzgeUSbVkMVKB04MRz3xyT72sgJnLHgIEhiwi7jel/KFdpuA42yNCAusgYjQXJDyhSZEwdgZC0YQmXrzvehDntcfpXyhJSqzSa+6OvAa1oGKHkQi/b6JGFMVVVQhMLL5qb5ax4pXbTufvloHuiPnGziy+nDWoXg7Wruvs/p+W2fLbQjVzcqhSALrdLR2j1iXDcppEMkmNWHvKP0nHPXsHPAnXMj6ODfvs2HEUdpuItXWYUmQbibSc9Z2/XTGgnYKnMPAMylfqKy2YWl35A5EzbrwOmjAzc1d7QfkbTsfmU89yLz4D+AGg/ZM2h1pQFQg5zLynuhI2UFLc1f7UNKrfklOTGcksurw9Jd/u7djaI7e476I7PTU3UWG3++Ka00ASa/qRQLjViJzv3PFtRECe0mvujGSWCgmpNOLOMA7ueJaxRoJSa+6AMku7oo4yx3AVYXiOt8GGNTSd7Hv/9iDBDqKqYB+lPKF7FqBjELAn1gRoUnvh9zXJNL39DbjcxcSXNgeCXp8iSjIf+/Ff6rO4hTAoEI+TOEkomf1mdlP2G/RMVlFon69SCRveyvVtqmGUXh8KtL0/WvE0L/CwlGsQzIsG5I7xyxyLvu64to9zlhwJ6Qf4HLIoqEiCmVnpnwh3RkLroREWTdGnOXLUr7Q2+M9B+PaP4R1pK8P2H6ym9IH/IlDkEndSq76gHDUk5jM4y8rcMaCeyOiTjMtPtaBG1O+kGXRv1HruCViMDxdadBgIuCMBXdEeskVPks6IvqxuknXSnrV45Dn24pCpQNXuOLakZM43Cqq+F4i6VX3eHTNmbc9t2B6raZa+m1fAvOt6nzaOlvWRwQjRpZF6MpQ3Wfbnt7Y3XpuYTYi4E+cggQkSzU1zyDZr7dsttWBF8NRzw9K7McShrL4oQgVf3kksBsq7HvsjAXXRNpJJVO+UDrv71chNYJW2dN+pL/xm6XGkXZH1kAUQqeRc7SGkfKVTZu72ku2vCrY33pIs3azllRD+hru1tzV/iZA0qsOYOFQ1HyxIY3dPwOtYbGCktXR64dWfLh+0HmvYpNffNEV1zYx9vkSYtNY4Qtgfj47JOlVz0eYI1bXL4u0xTobuGYszl3Sq26K2DJmxhTG6XwuTRjJg3eBBRYfZ5GWNr9F+j/avVsLU77Q7HKOF/AnlkP6OM9jZLa4D7lv9xufF2YxBxGHMVrOcb6r+M7RUI0o386IopWOZMeWtijICVhFTxSHssixYn937Za3LRh+WkEKjq9xxbVlosl3yhd6mdLN4UEWqA0Y6QyZ1MJ/rv2PE3ejpuEORjtLAYQiGDJacZwx/lGPRDjqeSbgTzwI/Ljg+H3AvVPgKCpIRtmu4P/sgD/xCTL5v2DUKRLwJ5ZHaDrrI9GvWDjqKYcGtCzjPuyj7n0I3WQUnLHgUQi1K4s4iw5nLHhKyheaVKloCxyH9X1UEONsC0StrBxUKahVVDEJcMW1uy64ZpW0pjpWsdmkDqmTHjX3d7R2v9rW2fIj4CJ0NgOH6hhYXmn4YN9M7cL1g0Ag4E8cEo567oQl1NNTKO0ogjiL7dhnnhRgnYA/0RKOeipyqIwWWbci7X3MsTiBPZyx4CEpX+hWZyy4GqI06UbW3XpnLHgX4DVqGNfHnmY7hND+SjqLzV3t76TdkY2Q6/JzxA67CfhLc1d7xeU1zV3tr6XdkVWNc1sd6fecRuofVwEeYgueR9Sql0BdtBqN7/8CJVsHBptFQaEuvZ2mqwPK0EqPFK5FA4y0QdbFHjOQwHd+aZLZJ9oKw8DfXHHtyiL7LIVrGM3KmYYE2A/HvpxnmYSRJDgRUQktDKr2A39AuhPYKbXqlL/egqzfyzHa72lC6NlXY80MqAf+GvAn5gGnfpsFBseD75SzaEzc9wI/IDdh+oCnA/7EHkuxRmxN7IxkxTH8wPRTbw5HPTdP7ZAmFGbdhRUaN1j40XlPzV3DimowDTjVGQtGU77QZEbFfoFEfn8NzEKKy8+nfDnt8WA6EsW1wwZItFBHxBB+B3SRaxTdhEycpwX8iQORiO0ZiApcHaLO+7tw1POMxb4rRsCf2BQRgFgPiYBHw1HPkxOx75Qv1O+MBX+JZJjz6c29iFLdKIVbZyz4c0SsodDAOscZC36R8oWun4ixlYlVsa930ZAaRhN3IXQXK/RiI6ZkKKeuhDwPn0wUFT3gT6iIsJAbkeW/NRz1LDNKclVUMZHIqI5S64lt3VpHa/fzwDa/bb/+KnTlFw5tWiMj558bA/7EVuGo5xXEoSjnHdUQZ27fYsc2tpuDMBUqgQdRycxfh82AbdwZCz6EZEyXRxwa0zj/KbLW7AS8gzgedjoKZY+puav9A6Qk5ehKTqLI/rLAA2l3ZDZyHbdEnG8dGKz/YPc/D65690bk3af6j3YxHcURUPRatf7jnbSh5kd7cWSbjP1kgKgrrt2Wt+kiRlKFR+wGoUnm4yGEwmwl1pdBtCDGhKRXdSHrjxWakBKgb5WzCJDyhW53xoKtyBq/EnJdXwaOSflCrwI4Y8EzkZ6phTZmP0a9ojMWnIcIyR2IBN4TwFkFbbkOwJ7y6kDsRCv1YBMnIv1Cx6yr8G1GJb3tvg04E+kdYzYwVYz/bwP8fimO62XsZZRrKCNat4yjWE+nbEZxbELxZ22tCR7PCISjnuFw1HM6MvE3AcuHo54zw1GP3T2ZSAxQOos0A6E+zABCiOM0jdzCZxor1yM1eD5j+wYkY/qwIdk8LgT8iSOQ7HYrYjTsCzwQ8CcqERQqipQv9C/gh8BtiFLY00gRe6uN4l6xrOy1zljwLWcseIIzFiwmwz5R+B/2Uc46pEYRAFdcexdpqFzokPUjGY0HC3eQ9Kq7IlnktxHDLWn8bVwI+BNrIhSoTuR6XgJ8GvAnfjzefVdRxWQj6VXnJL3qaUmv+nrSq76R9KpnJr3qCiW+dgP2Im3DCHXPFgF/Yq4jM31/w1EsRD1imII4DKWC7hlgITK3W9fV5aAic0ClOILi6/DpyJpSmPmqB7Z0xoIbIwFUK3q/Bryb8oVeGcO4Jhq3IhnERnLr5gr16R+dpS5c8ySEnroIWKj2rmy/l2zdYO1XGx2BOCG/B9ZzxbXfFWz1D2T9LsQwcLsrrhV+1okEAgvX+0FEiGc8Ad1Z2NuQ5uclkXZHnGl35M9pd+TBtDsSS7sjW4xjTBOClC90O6Iv0AKsmPKFNk/5QvnXKoq0XOlD3qPFiNPWmvKFnnTGgs3I+3wc4nCugLDdXnDGghtUMJRS9mAD8Dsj8Pq9w3cms2jQ/dqwrhFqRB6kP0zpoHK4ADiE0dc7A7wWjnpeHf2VZQtJr1qDRPMagWddce2bvI/vRBw+y55Ob8xY8VMkWmqFWia2FYctDPqAbcQ54E9MR6ifvzC2uwq4qYxm8MWOORzwJ/4N7EN571sT9pHqWnL9e0yY2cdLETnpMcGgWFzIyMibA2jS0c/eJnru5x/M/uJfE1EraNTQ7FtqO4NatXaRTRxI1v5sYE9nLLhbyheazH5D55Pr4ZWPIeAJixrbY4A3EMNyPrLIXQycYdHEeQfEgc6fv9YEbk161T1cce2RsQzYUH27H1F1NgM25vhvC/gTa4ajnrTll6uoYikj6VXnA88h8545N/0WOCrpVTdzxbUPbb56AcJ4KZwv+4ATO1q7SxmG6yKOgpWwhorRNB4J7KQQmXwr9CPtgs5Bsh2legpfO8aMfylnYQvsnUkF2DrlC11iZHH+gKxVtYgzvBhZv5Yq0u7IuogNYnVPaqe9ecQqi7YIzkcSBrVk6zqxYfUoKDWN7x5w32qJZ4sxU/6MsDHWIpfV6kVqXo8v3NgV13qTXnVbpL/jWohTWY/oVbSOkyXShb39oFFGz8S0O/IjxFarMcaVBfZPuyOR5q7208cxtnHDCBRbltkYn53pjAX/ivQAHwCezVvrz0De8/x1uQZ53v+OBKdBAkinYJ1dzAJXImu1XfYR5P2dj7Bzvlf4LmUWGyiuQjXHMJymHIa62eHIwtGLOIk9SPZg76UxpkqQ9KoepEbgboQ+90nSq0YM5TmQnlL9jHZy+oCLemobOrCOWOpIkf0HkzPy8hHwJ5qRCTmM0Hl+giihPR7wJ0ot8KVwAhIJK9fRsqMp1WJfE7FqwJ+wo6mUg/2xcVKz6HUzBxovAz5zxoK+cRyjUhR17vPQhESbPZM5mJQv9BaiorYYCXD0Is/4M0iAYQRccS3rimvnu+LaisjiPNsV104xI9JJr7pP0qu+kvSqGYSCa/WcNWFPZy0HOyELqdXc50AyElVUsazibESQIt+Aa0Ce6b8CJL1qbdKr7p30qicmvaon6VVrOlq7P0d6+N2MGO1ZJHDT2tHafXUZx/2C4k3jP4clAcjDyK3rJvoRsYwVwlHPEYjBujJFWm8YOCDgT6xexvgKcQ/260sd4tTaMVwyGAHblC8UQuo5/4IEII9GhLveHcOYJhobY5/9qQe2ccW1jCuuPemKa/9VUOzsDg14rLmr3ard0RK44lovEhQ4GpmfH0FqTtdzxTVLx8YV195xxbWNEafmF8Darri2e0FwvWIYY3mhyCZFS2rS7kgtkpWdRs7ZNmnK7Wl3ZNOxjs0ZC27kjAWvcsaCLzljwdsNMcPJQD9yDZ4tCAqb1NNCKMBWzljQFNS7EmumVx9SenM+Ng5rHlRk/f/e4TuTWUQegm+w55injf4nSwXhqKcz4E/cg2RU5mJQ0ZbmmMpB0qtuhkRkCh3xYzCKkF1x7aOkV90OycSti2Ra8ns6NSLUxrXIGcTDyD3zTu4ZlI1LkJqz/ElnOlL0fzJj6+UzC4nILocECzZBJjYNyZiN1wnNh07BhOmMBecgkdWPymh2PwebiJqKgzqtph5ZZC5yxoIfpXyhCWv7YEhon4S8G1mEzhNN+UJfOmPBa5FsbymaaRNyjW+fqHFZIeUL3WXUR+yOvMfPpnyhF0t9zxXXChWEj0ZEe4oFuExsmvSqqiuujSVrujb283wj9mp/VVQxZUh61ZWQefI9wzA20Yr1u68Ceye96uZItqQBcYqGgN6kV92lI669ChzQ1tniAGo6WrvL1iwIRz1vBPyJboStYdWY/cK8bZ8yar1PQcoCeoHLgYvDUY95LgdQnghOI9KG46hyx2rgMiTjWs/IwFA/IvL3d2R+tZpvahCVZ2BJUOyPFR5/KvBZkc+yjM72nIusvy5y194M2JelRG0ojF5t/JQNQ81+whTtjfdjM5uPh7FnbpnYFftART3Cyqv0mcMZCx6EPOt1xv43AHZ2xoIXpHyhQlrvmGCo/AYRG2E6MOyMBa8EgilfqJfitkEWqDdU8e8zts1/Pz4Efp3XOmMzJClida0zwAPhqKfqLH6bEY569IA/cR7CP7dqURCe+lGNRDjq+Rp5sb5NOA37jIc/6VXPdsW1AZcszD9IetUWYDaQdMW1foAU9Bq9745AJukmJBIaSflC70/BORRFwJ+Yhhj/VpNOI1I8fnqF+zwQUffMGvsdRqK7O4Wjni8C/kRURz9WQSk8ZhZxJmsYbaSYTrjVpP8NUpdmOomXI+IFg0CdMxa8FWgzVO+s8AyyiI6iKg07MnwxbcnXmhDax4Q4i4ZC3zNI/YlJYz4J+KUzFvwBskj8GKlDKOVYrTERYyqFlC80gERpx4SkVzWzheU4iiDPxFgpTB9iH40fQtgNVVSxVGD0I70KyQIOA2rSq16CvPcaxSlhDkTQLt9QrkfmsIeSXtXpimuDHa3dWeRZrxT7I30H68itgT0IrXsEfTEc9bxJ8cBnue9vDTJvVwQjsLYtEmhbG0PtFLm2v075QkPOWPCfSODNdJzM9lZHp3yhSS0FSbsjuyHrxvrIWtWBKLOujWRznm7uai91jR5GxmvVp7cfCfguQXNXe1/aHfkxUr+2H3IPbwE6mrvavxi9i2UaeyHvgxXqkKDK40W+Pw97Z1FFlHMrgjMWnIXYGfn2oYI8X35nLNhpitSME1ciWVpzvaxFbMktnLHgNsh574w1Iyu99+ubLULszdkWn88l77oZttkOxt/WZGSQYSFiC34v8Z1xFg2EEbW/fclFD3RkYr/A7ktVFMXW2NMideSFWjIhuOJaNxaqaSlfqA+hq/5tIgfnjAVnIxSCwxDD4j7gzylfqBKRgJkUF6Epq3jcRMCf2ABxFPOdgXpEYfQmZyy4c8O6tc5d396wpiFTR40uc7hGNutAGVRQvgRWRBYHBVkgM4ijHSMn4GSiD/hNOOrJGnV+DyOLsJkNBJEwX80ZC25jIyRzHxKZXZ28eSFLlmGHRmrml/nbTmQ26m/IJJ6/kDUgqn1np3yhXxr9Pg9HWq00j9pDDgsncFyTiR9iv/AXIgvcVVjjWAHuxt5Q1hARhyqqmHIkveocRCHy/9s77/BGqqsPv/K47HobHQMCUQWY3mtooSM6BEQISAlgOgiwUBrlo0TIJCKBQAwEiSTgUAIERIBQQu+9GBBVIMB0dtd17bG+P85oLcszsppl2XvfPH7IeqQ7V7J07z3td9Jp0mnD8CQkZfu4uEd7A+v15jvMHZk2ZN07mCyjrhBCYdebRpPuFiQy8z3yfbm3iIygmxGhvVwiNGmKUm1PeoPvAJvZI4E1kfUznpVRcgpiXPsQ4+A14LKkN/h8MffLl67mtuORFL/0fjgLcb5egKT0acD3Xc1tBzd1tr5kMgQATZ2teldz2yHIwV9DPi/DyEH+L02drU9m3HN1pD58d+Mx3wG/bupsjZTxpY2iq7nNhjgu+ps6W8utNN2AtbFXw/hZSq9hfY7rR5RyC+UgrPexOsR5ck4R4y7GHgmsgzhtsp1GM5Cz/t6I0v32mAeJWmcNzjgQ6+ijDTk7Xp7+RSjs6vH7YtsiPUe9yHf2A+AR8iuLmZZMK2MxFHbpwM/8vtjFwL6IMXNvKOx6b3JnNqWZj0R1zKhDvISTwvZXHb/M5osWvlE7PLz8O3Ob6hbUNYJ8wQ+2RwK7Jr3BF/Mc6mtkwbRacAtNJ/FhLvZTB2y90sKlLvhizg/7/sf5qm2db5tY87sVqRmuoUGvrSFVU69hS3v5Uoi3/TdAeyjsGvD7Yu8hKUXbIJvgF8A5Ga1X9gLWYKwIQAPi1d0RabcxilDYNWx41O4YJrX5UI1eX5OysaChj8dXf5vhmlH2ZVm80PZIoN6Yr9kmWIek7P7c8HqH7ZHA90i6ldXCP+Z1VSka+cvtd1PChmsILO2LRENqkQ11APnsnBgKu6qhFkmxZJJW8Myup20Ejo57tN8iqZ23YX4QfA7rOuU5lCD4lSYUdn2FqKxfVOJQ/0S+x+tgLtCSph9RUS4ao75wzPfacBL+mwlO1c+kq7ltFqMNxTTpv3naETsbeKSruW2dps5Wy3TTps7WJ7ua29ZDIjw7IA7Oa7IMxRWQbJWlGdlbVgKu6mpuWxcxpDdF3qM/NnW2mkbkjMfujxgU/2nqbH3L7HHGY3+CBCtWAmxdzW2PAac0dbYWo2xrxsNYO7QXIuJJljR1tr7c1dz2FvK6s/fPIWRfLZSlTcZKU4sIwZTKXljvlbOBg5Pe4HH2SGB/JFq9CvI+dQNnJb3B2/y+2LlYn+1mYrJOhMKufr8vdiPwI+Qcso4xl9/7fbHLDHX9JYppZSymMVJCJrQdhdE0/VQkPK4jOe3XhsKuiih7VpBrkI0ye7FPAW85o3qy8lOCuEfb+5qaujuGbbaZKaB+WOf+pg350zq7a8O2mtlIesSm+YwVCruG/L5YEKnTMDuUFFq/sSnW361F2rB2EtA4pOn8MLMHLVVD41A9NvlfpuFUi2yqB4bCrj8Zc30d+JHfF5uLHDq+yWoSuxvmaTogr20XLIyqUNj1BbDdRn++6IWZQ/Vb9tQPMH+GqYO0XD1B68ndcyz7UJWuvTHboAYobsObDJ7Aup/TEOIgGEDUUf/PGdU/KuVmobDreUP86BikbvZjIBIKu6yUJBWKMXQ1t9UAeyAp+4uA25o6W0tpB7Af1oe4AWAHZ1S/Pe7RjkdqBNPfex0RGpmFpJ+ZjdEDFNwAfqIwHH07IK0afoEcdNPrdnoNHECE5KZTFtSujN+SIE0dEsXNaZg3dbYmyd0K7XTk/c12QjYi+gNDyN66GbBfV3PbpU2drZekH2R8zv+K1Jmmx7iwq7ntbuCnTZ2to6JpXc1txyJRzMyzw27Ac13NbRs3dbaWvM46o/qbcY/2EBIpzfy8L0JKDe4xfeLIHG1ITeJfEeNIZ0RA7sCmztbxhF3MeB55L82cH91IhtMo7JHA2kgUsBu4P+kN9tojgQak1nEAeDMr8ylXBD+Vvp70Bh+xRwJOYHXkc/R+0htMP/dDJPpslb7caTH+eZhHNc/x+2LvhMKuSvZ4nnSmpbE40fh9sVWR5ujpXncg+fgn+32xrUJh17eWT55g4h6tCTFi90QiQNcC/ypSHANkETwc+TKn87cHEA/oMaXNtjjiHm1j4F8zhwdHHRL2+PItBmpquWbt3QDWtUcCKye9wXwlji9HUhxPYiQNqBZoDYVdORdiEz4kR3Pjnvr+2QArdM/lRx+vvzgN1YIaYEe/LzYvFHYtTrPM4ZToZWQzzGaIPBRZv2/smfc9PVaXdeDu8cbIkx4kZdmq1nBUSlLSG1xgjwSOBv6BbAh1xnwGgF9mNeCtWpxRfUHcowWRtNpM0YtBJFK8oTOql7WI3vjsXDnuAxUKE7qa22Yj0Y1m5DObAk7pam6LAUdlH6DzJLupeTa9AM6ofnPco92KHO5twCvOqD4Y92jLYa0CaQNuLWJOE4axZp8JnGkos2+GGI8/QvbTvwGXGtoG04VcTc6zmQnsTOlR3EPIXeua3hvTaqC/7mpuu6OpszWdQXQGIzWOmeyP1NJmGpa1wO8xj5zOQqLJZxTxGsw4HKl1/wXy/atFHIonOaO6pUHe1dy2H+JkXcH41XdIWvSDwCNFfndBUlffQc6GmX/nYeS7u9iYskcCM4x/74WcQ1JAjT0SuANJZ00h79kP9kjguKQ3+IDx1HuR99eMHjK+44aRaeZY/TdZ9axZc/1b9i/9vlgt8l010xWYhRiSylhUjMuVjO3f1IiEwC9EjLWKE/doGzFSkJ9eLLcFfhH3aPvlWlCscEb1/rhH2xn4KZI2NAv4D3ClM6p/UZ6ZF8yvMNkMZg4Psf8XrxFdfUf6aut18hcQwahBOcvvi/1uYX2f68Olv9o1vtznqw1q+i43R558D3jIotbPjD8i3vfs+w8Dn3w/o2cOYN/0izXGMxTTpF9LPjV5tyJed7Pv9jDS+mQ8nkNqF80mNwS8mscY45L0BlP2SOBcZLE2i+j+yuQ5d9ojgU2QPlebIKJBf056g7lkxSeNuEezI44bHbg/Q3L9IiSKcCGiAplCNv7Ty20oKhRl4AqkdjC97qb7u7oQB9tVRYwZQYwDszo+G1IjBICxd42KYjqj+jdxj3YUcvC1GXNLS+Mf5ozqFa9h9vtiduQ7fRiyfj4M/CYUdo1qaG/sNy9RhJjNFCNXFkU2KWRNLJV86kIzqUXq6841/p2OWmfTCJxtRCLTZ4H1sX59dUjdbFmMRUOZ9fS4RzsXcWx/M95eYQj83MZow3cVpH71vhIMxfT+vRdy5tgOcbLXIpkrBxlKpWn+guyD2ee2n2X9ezZwhz0S2CXpDb6Q9AYT9kjgWsRAzvyb9CGRzUcYh1DYtcjvi+2JtD+pRSKM6bkdbIjarID01TzKmOMbJnPNpJj2NlMaWypVSp/QJQ+/LzYDObRbLRALQmFXQYIo5SLu0d5EPL9mUt+nO6P6DZWfVfmJe7RPgFXNrnVr9bRu/BPenbvSt8CKhTZpt0cCGyIbXAOywKYQw+Uu4Gf5Gox+X+x8ZPOpQxaobmSB2+HmjZ/chxSXu9/Yoc6WMwtzMV8A9nxFFeyRwJVIYXbm4tqDqIp9iwjtdALXJ73BMWnE9khgI0R4ItuA6wPuSHqDR49zfxuSanIsUpNyP3CLIXJk9vhjkTYrdchntwc4OekN3pH7lVYGQ720BXGWLFbydUZ1y3o/owfplcDPGUnDSnuhf5tu0Bz3aDbkPep1RvWihC3Gw/CS7o943HWkFc4D1d62R1EddDW3zcBaTAbg46bO1jUKHTfu0TREgGkHRtaaFLLO/MIZ1fPy3BttBY5D0uveBG5wRvVyGB0FYRiKryCCXWlnXVqAZddQ2FVKyu6Upau57QpGHM256AH2aepsLbr2vKu5bU0k2jVeq6VsbmzqbPUYKai5zgxDwFJNna09xv2aEaPF6rUV9d0oF13Nba9gXY7zYlNn61bluI8hquRE2nS9kXVtGSQlPJfxlUkKSVHd13h+OoX2l8i57zvEOfW7pDeY955p9Ms+DBH/+wT4ZyjsWuD3xZYGXkdqLPP93HwRCrtWzvfe0wEVWSyc8VSn8o5mlZO4R1sHETYxsz5mIdHOqjMWDbWrLRGluYeT3uDgOE/BeKypsVibGmZh3Yw+4NeFGooGtyGH9/T7mJaCPgg5bOdVrxcKuy70+2K3IR7LJqSh7z9DYVfPzZEnPwAOH7aldtRS4xqLvYhnupCD/elIhNkPrIakZjyEeDg1xBAeAPz2SOCopDd4V+aTk97gG/ZIwI1E/GzGTx2ipJezP5WxsEcRReKZSGrJvsBF9khgWzPjNOkN3mj0U9wI2ajfzKg3mFTiHm0Wkm6zNiPf/V8AP417tF2cUf1li6eexYhCbyZnAu9hiFgYRuMP5Z31CH5fbA7wODL/tMf9UOBlvy+2ZyjsWmLV3RR5s8w413MpFFvijOp63KPthxgSpyPZOi8BFzmj+tMFjPM5ks452VzIaEMRRtIRrwbKcjCfgpyFiMi1MlI+UMNIW6m0QzaC7FulcDyFtxnqxqjjb+psHe5qbvsW637dvYwu5XgbWb/NjMUB4KYC51I2uprb6sitXL55V3ObVkp0MY2VqJKBE3kv8jUWbYgDKT12ChGvaS9ljqGwqw/zfpmnIaJH+RqKfSyBJR3KWCycH5DmsFZ9aV6r3FRGsQxS85TretVgjwRmI+kLuyLzTgHD9kjgyIx8dSv+DITJMsyHga4Zc/XPZy59dtIbLHhhsUcCGyBGqJXBfRoFiLvcvPGTnyCbSbfxMxTCRdIbHLZHAnt8Nue7BfYFy9bVZN0uJXvdkA1b2lAsyMg3FtdbjJ9038UkY1t5ANxsjwRWTXqD32aNcbc9ElgREZCYCzxvbAjj4UaMkczNczayUdyEpJ2ZzXkI8cpXDXGPVo84WDZgtGJj+sATxWQzNqKK52J+gEjXO5SkeFgAISRVKlOEYDZycP0V1dl8W1FdfEPuA/gnxQ7sjOqDSD2RVU3RVOIwrM9Um/h9saULrUf0+2IOZO+Oh8Iuy0Lyaqaps3UYuKSruS2EOBbSCutnIOmLnyORoofy6LU4HutgnfWVFkTJLK9IR34zo9h/QmoTswMDOuIwretqbjsCSVm0IaUdJ2Q9fhDJ4gkX9SrKw7Dxk602nCbd+mxCxSCRPpqF1K6CUa9cIdKpp2ake5Gmz07dSCTZqo5y2qKMxQIJhV0pvy/2a2RzM6uz+nXlZwVI6oXVF1KnuD46E8k/EENxBqO/qHfYI4FNk95grnYnEUTOeGuMA3kKBsA2uOyinp1KqF9bkdzKbXl70O2RwI+R1FWMOXYDf7ZHAj9OeoOvJb3B/l0uv+KQFXvm3V2razbNWM+HGQZsvTXYjgFiZYr8HDHO9aMw8ZQlvcEBpD61EHyYG0m1SBPdVZLeYNWoFFphRBQfZ0RUw4y14x7NYfQWzWQOuXtzrl76DMfHSD89FnO1upnAyShjUTEOTZ2ti7qa265FUrGzD9A9WIvMLGnkKkBPR9Hywu+LrY/skc1ILVid3xe7GgiEwq6CtQcmC3sksBqSir8GrbwC3Gi0QlqARJPLzWtIHajZ4b8Hqadbi5H6uiSiBpppiP8OMWJ3yRpHQ7JkPkfW1PQ+twPiUPkM2ByJov0T+G1TZ6ul2GFXc9scYGWgq6mzteD62q7mtgZkfxoCXsmOEBp9Ke9D3g8zg1ED3uxqbnsKOLips3VChJWS3uBH9kjgLeS9sTJcMxlAHLGVItf3thsIIqm8A0h99H+XxBIOZSwWQSjs+pvfF1sKUcVKf2h04LRQ2DVeVGxCcEb1+XGPdgNSq5ZtxA5QRRu6PRJYFVHFMlvQ65C0lZOsnm8o4e2JGEHHA3NtcL+N1FVbXN+br/qpGW9h3QNLRzxK42KPBJZDFLgyjaY5iCfvQcNgGnz0nDNj3l/fvE5NynbN3IHG7W0phm3YbtdStgtDYVe2AVIKdqzTo2dikdJbJCvluDaAGNxVbywiTh+z+t9MhjCX4+4xrlkdDn8oaWb5M4vca/wyfl9sDSRivj3yd7kaeCSrHYtCEUBqfXZGnJJp6f2/UrkoebXzCCL4Y7ZmJJFUzHExxDaeZqQcIr1PnoR8py33xmrCHgn8DEkdrEH21cOA/7NHAnsnvcG804wL5HpGhGoyGUYifZsgaZFO5G/ySnY0s6mzdbCrue1A4/HZzGKsM3QWRplGU2frdulfdjW3rdLV3BZBVEzrEYf9LxGD9s/I+WUQqO9qbvs30NLU2fpDPi+yq7ntVOBS5DtoAwa6mttObOpszc58OgtR280srcmkFjF27zYeNwajVMiLnCOeAW4yDP5CONJ4biMjasr9jOxP6b2yD/m7BAscvxT+hZSHmJ39hoHLQ2FXPuVR0xolcFMChtjNVsjG+cJkf6DiHq0OiXj+FPGc2Yz/HuOM6oVGiCYMeySwH5KSaBV9eTXpDW6W9ZyVkQNtH/BI0hsctwVEkXO7GVEwyzZkU4gozMWIWIvlF8ceCZxlPM6svnUh4KmkeItRf9iOuWHTDZyS9AbHyEcXea/7EdUzs41pAFg56Q1+V457TSRxj/YN1nUraRYAy5sJ08Q92rVIa5nsDagf+L0zqufqE1Yyfl9sU2SDPxHrjIMvkBTjOuMxmbVDpyuDUZFNV3PbZoijbxFwV1Nnaz6p6UsEfl9sY8TIyzYm+oAj8m3B5PfFLkAMHjNnaj+wWijsysvwnCzskcDqyH5ptgd+D6xkZK6Una7mtj2QnrwY9x9EHHQ7NXW25spYyhxjX6ADWR/zpR+YbUT0mhCjcBlGO+x6kdq+tRn99x1AssM2N9J2c83NrK9jemxXU2fr/7IevxFS4pErgtYLbNfU2fp65i/tkYAPCYrUIvtED/Ld3yXpDb4+ZpQc2COBeUimy97IZyACxJFaVhfyHkSAa4owRovG74utiAhjLc3o96gXODMUdl1XqblUMyqyWAKhsKsfiwbnk4FR/3Fc3KP9GjFiFwJPFdMyY4L5itwL1+KWHPZIoBYxdH6KLCYg/XlOTHqDE1E8nlZtSxs86cO+Daldux5Jn23JMcYGWAshzUA2ikpyJ1KHMZvRRlwKo7l2Ge/1O8RDaaak+q+pYCgajHdIGEKMPis1tnOQtjVrMCIs040cIC4uywwt8PtilyKe0nqsv2c9yGvMPNimxZy8SD1x1axtiuqgqbP1FaqstrjctHQ45iAG8SzgiXZ3Ii+DOBR2ve73xXZDDvIbIevrZ4CvwF69+2JdQzWArCuF9v6tNL/Aeu2pRYyDvOv/C6Gps/XBrua2i5B1Nn32WQo4v6u5zdPU2ZrPeWgZcmeVmJF2uvUhxv5SjD1jNyLng+yxG5B2DHshCsGmdDW32ZCIolmmUCNi2G2f9ft030MzZ3HmYzZDVEEBsEcCmxnjZZ5lZhn3idkjgdULEaJLeoPzkXPIn7IunWb8TAqhsOtLvy+2FTKvvZG/TRJJ+b5lsuZVbeSTP6yoQvy+mM3vi23h98V2MVJiF+OM6l86o3rMGdUfq0JDEeBFJMffjB4kRSNNEElhaEAOt3ORw/e19khgx3JPLOkN9ia9wQORegWz78cs4Gh7JLB5jmHeQ7yMZvQjdRMVwfDwXsvIgj+EHDgWIkb7buWM0ia9wceQusU+4x59yEb1GLkN7GrjnXGu24AjDBGcMTij+gJgC6Re5zbES30UsLMzqlt9NkrG74vtgghHzGTsYS2FfL8GkAOJlQpeIxKRVCiWKFo6HD9Hev3dgIiuvNXS4bilpcORl0BHKOx6PhR2bYmk4zuAtUNh190FTiNX7zwb4nSqdtbCOqOhHmuBwJIxmtCfjxhvDYzoIhyMGFr5MJ/xle+z+ZKRff8IrF+/lRE6B9h9nHssS+6Mly1Mfpdk/HrZYcaeyU7B/DXYEEO47OevySIUdn0cCrsOQP4GywJrKkNxNCqyOAXx+2I7IWmcSyEHvga/L9YOnB0Ku0qWQZ5ojGauhwCPIovRDEZS4DowRFXskUAjUp9h5kWbCfwG8QTlhaEKejRSr/A2cHPSG/zB4uGbIekrZotsAxLpHNM2we+LzTygbsv+7ob+umFSfLz0V3wy7xuGaxZn9A0h9YwTjtH76CVkAUwbDhrymfkV8BdDhbSsJL3Ba+2RwK1Ib7/ZwBNJb/DNct9ngjkfEZiwqvXUkLYkB2OozmZjRPpvo7yR2/E4HetDziKkn2U7Unu2l8XjbBTZDkGhqFZaOhwrAWcjtXPDiFjFFe3uxDfG9Z0Roa/s77wLuAIRhMqLUNhVSgbFdYh4m1lzeZ3S20tUgleRdlNma9EixnfGlcJvsY68ndzV3HZeU2erqcPOiNxdhWRX5Mp+yqYHuDCj/rGQ56YZYqRZvBV95A7yjFERbepsnd/V3PYv5HNvpckwDDyY9bs1yf06JszgnywMQUHVTsoEFVmcYvh9sfWQqIAd2UzmIcbW8UDbJE6tIAzF0nUQT9//kAP3AcAJGfWAa2Ad/bAh6lp5YY8E9gA+RSKVpyItBT61RwK7WDwllziIRkaaoj0S2MgeCZy6/jUXnjZM6o3ZgzMubupeSlu5e2m2+mxt9n5/U2p1rQepcdt3omo1TLiU0YYiyPtWDxw+EYZimqQ3+EPSG/x70hu8ZiIMxbhHmx33aKfHPdqLcY/2atyj/Tru0carMcwbZ1S/EzGoczX9nY20CakmVsfac90PPB8Kuz5DUgmtPt9VlV6vUJRKS4djDeANJN3Ngewt5wCvt3Q40o6R32Bu3DQCHiM9tRLcDrzA6IN/OpXQM9naCHkSwXzvHkbq1bINk3LSnONaClEgteIIpK5uJvmloS5A1ss/IEZ+mnvIraxuRtq5aImh2vow5u/tIqQ3shknIs7t7P1MRwzUw5s6W7OvvWLy+DQ1THzLDUUVoSKLUw8/5t6hRuBEvy92QSjsqlhxcCkkvcGvgIuMHzO+I3d/njHeW3sk0MRo73EHklJ0J6Prs9L//x57JLBS0hvMTu15HEOpzOS+CxFV05lI3cXOQM0GX9lrU6RqM/eYumGNuf0z9V0+an72obXfODjpDeZKMSo3B2LuGbQB2xuR22EkwrQs8HLSG3y1ctMrjrhHWwp4jtEqr+sCp8U92lbOqP5pOe7jjOp/jHu0fqRXllW0rmwHN78vVo8cYueHwq6uIod5GamXMlvb6zE8+qGw622/L/YMooSXvZ4MAn8p8v4KRTXyRyQTJ3M9bED6/f0OiSRtjLWBMIh8N8cV9WjpcMxC1tOv2t2JglPOQ2HXkN8X2wup+zsVqZ97Drg4FHa9VOh4fl9sWWQ9+KpSolVJb/BreyTgQlQ207X/A0h65+6F1LoVwddY1+fVYXJuyOAczFs/WfEmsH9TZ2v2mJcgKqhzGP2Z6kUM5d2z7tMD/KOps/WNPO55MuJMmM3I2t2HpE9faPaEps7W7q7mth2Q9f5YYEvEmH0MuKqps/Vjk6f9GXOBtCHg/aQ3WPBnsZrw+2IzgeEytSeb9ig11CmG3xf7AEkPMGMBsHco7Kq2nopFY48EnkQK+rONnl7An/QG/5zx2NWResg5jCxw6bSCOswP/N3AGUlvcEzje3sk8CiwDaPFBgaRJtTrI8qzRwEzbSn4yZvbo6Usg/ULQ2FXIcpqJWOPBBZhXaswBPwE6WdkQzyFNsSbuH/SG5yQnkvlIO7RwsiGmb2J6Uj0IIbUjd7ujOolNfeNe7QVgATmghPdwJHOqH5vKffw+2I2RFL9XOTvUIekcXlDYdfbBY61AdLiJTsNaxHwVCjs2i3jsfMQIZudGFFPXgAcEgq78moTo1BUO0a9YTfWa2FfuzvR2NLheAPY0OIx/ci+2wW4EaNiFUTN8dJ2d+K+lg7HXCSN9SeMtNS6Dji33Z2o+IHU74ttgzh9mpGIWhI4IxR2lbReFYLhUD0Aea/eBv6b9AYntFSmq7ntDMxFYAaB+5o6Ww/M8dyvEAdCvvQBWzV1tr5lMtb6SErrTsj7/wnyufk34swOIA6IJJLpdFN2G48c82xCatMPQfbyvwF/KaZfYy7skcD+iMN9GNlvBxHRph+Xs1+yPRLQAC3pDebK5CkLRhlXGGmjAqJgfEYo7CqbcFdLh2MZZC35Dnir3Z0oyNBq6XDMQxzg37a7Ex+Ua16loIzFKYbfF3sZqaczowfYOhR2dVZwShOKUXf3LCMqXCAb/7NISudgxmPvQupLsg3LYXKnXF+U9AbPM7n3LKS+61DkMF2PeOKOQQ4PX2IYEdpwDYe/uR011pkrKUCrZDsCeyTwELAb5t7y95AN3NSoQLyK6yOpu/8yibxOGnGP9j0SJchFN7KJ7umM6i+UeL8LEHnvzPeqDzHKfuyM6iUdfvy+2MWIemmmpzmFeOGbQ2HXF2bPyzHeocjhQUcOyDoiY79PKOwa0zvM74utjURVvgKeXhIbDiumLy0djtlI6qNVJtWwce0XSG1idmRJB55qdyd2bulwXIs4CLOjQpcgRuL6jI7U9wGPtLsTrhJfRkEYrXOewry9wk8qaTBmY48EbIBtoqKLXc1tdUhEc0dGK1F/A2zb1Nn6ZY7nPg1sZ3XdhEHg102drZYlQF3NbY3I2WF+vsZgNWGPBNZFjNl1EIP/N0lvsCAnZo6xHcDvkSyoGiTzxZ/0Bifk8+n3xXZGNDGyvxfdwHahsKukkhnDMfVn4GeM9JH8Ajii3Z0Yo3Fh8vw6ZA36ORLkqEccUke1uxOTeq5XxuIUw++LHY98mMwKuN8/5vsjtq2nfyng0xyy/lMKeySwFLKRu5Av9Q3A3ZkeSnskkO4BNJ7qVzbj9hk0hHEcwBdJb/BL43cbIh4pSXdJwUFvb0XjkFX9OB+Ewq61jefWI8qgJyFGz7PAxUlvcNzFpBDskcCWiHFr1sbiv4hEu9X71YNEYtORuYOS3uDD5ZxfscQ9Wq6IaTbfAyuXqkAa92hu4DxE5e87ZEMIOaN6SREDvy82B3E6mEW9B4BwKOz6ZRHjzkYEhpZBUpZeUH0TFUsiLR0OG+IcW8viIS+0uxNbX/TnJu37Ru2xvjpt6+Ea6rDZIJXqwWZbiGSYLI+UJ5jtvYOIo80shbEX2L7dnXit9FeTH35f7D+MtAHI5j1g3UqvB/ZIwInoKuyLGAbPAq1Jb/Dpct+rq7mtBml/9TPk73U38M+mzlZL5e+u5jY7Eqm7lPxTURchxuLlpc24OrFHAvsgNbQa4gQZRJywZya9wWtLHLsJyQQy62/486Q3WHY1Ur8v9iojEcVMUsC9obBr/1LGb+lw3IhEjTPXiBRyzly/3Z3IGY1t6XBEkfTl7OfPB9Ztdye+KmV+paBqFqceUUSJc0tGFrRFpIYH9+m+4Lt6+j9DvtCpuEf7A/B/zqi+2IMX92hzgLMQ42sWImRxoTOqV23vLEOx9PfGjxV1FCfYNIQshrnu/z1idGTyJZlpkDZ4c8VP2PzzNalNjSkT7EHUNdNG7UOIxHV6QTgQ2MseCRyR9AZjRbwGq3m/aI8E9kRSYdKpSAkkfeVCchtc6c9W2jP7b3sksEbSG6yGZtCvYy4RbkYtcgC4uZQbOqN6B5KOU262RA4cZsZiA2LwFWwshsKubiZmvgpFWelqblsN2Y+cyOHxhqbO1mJrdsfQ7k6kWjocfuDvmEfafhn3aDOPgAdSsEli2YbaN1dpZKC2Rm+aP/hB17z6nX95+pc/tHQ4zsC6/2G6R6kZtcAeSI/VSrEr1vWXDsSJNCbLYKKwRwJrIZkYcxjZp7dHav/3S3qDj5bzfkZj+/uNn5x0Nbetgyhfb4ysxQ3IuWAI2SPTvzM7X+hUf8/LojAyq25j9Hemzvi5wh4J/DfpDX5cwi1aEaHA7ANTI/AneyRwezlTlv2+2FysxY9siHOhaAyhrCMYqwGQFhU8lRx7uaHWnG4Tl/38GUj96P+VMsdSUGqoUwxDCW0PRNXtOeCd2lR/9CcLTupbZei1LZAP2mxkUT4HiUICoiBpPCcArIpsGPsDT8Y92o8r+TrKTdIb7AU+yvGQdxHvTDdiNC1EDMA9jecWer+vERXXxWmw7y/zJW8v/xm6bZhhhvsZUUq7JBR23WQ87EhExTVzAa4x/h21RwK19khgZXsksJ09Elip0HmZzPOppDe4GaIAt2rSG1w36Q3ej6SXFuJZrkFEIKqB32AiEW7BLKwjCtVAwVLoxeD3xer8vtj2fl9sJ6OwX6GYdLqa245AUs/ORdbG3wIfdzW33d7V3HZ2V3NbyWsgQLs7cQdy2PoWWfu7EYff0e3uxMNINGkrG8xe/dsBm+v17zn05W+1HT5YsPahL3+T7jmaaehkY8N6PR0mt6ryRJDrkG2jcKXOUrkQOZdkv3+NSJ3npNDV3LYs8AzitJuBGC+1yL7+GpJNsjtidGavxb3ALU2drdNVFfRgRmpvs9Eo/TxwKNYCho3kVrUthvHOO6WmRW+BdduNBsbvoblNjufPoIA2cROBiixOQQyDMWL8EPdoZyFfrmwPzSzg+LhHu9gZ1b9CREFWZ7R3NG2oROIezeGM6lM5Vc2PeW+8PqT/3JNIlGlN4H3gjqQ3WEp6ogfZaJYD5mBj+I2mT/reX7brPwe+vdWtyOLzcCjsyiw6PwFrD3QDktq6EbJoNNgjgUeAY5LeYEleYJPnX4UsPvmm28zEWvyhojij+v1xj3YicsiwYS1eBBLVzeVEKJi4R9sQOUTsiny2osDvnVE9p7iA3xfbAXHyrIGolv4RSRHtx1y9rwe4vtT5+n0xN5I2m14favy+2PmhsOsPpY6tUBSLIdIRYfR3N703HZoitR+kLv10x6P/0rd2R8gZ1UsS1Gh3J/7e0uHoQNYxHRGeGI57NA1pPWUWNWxE6omDSOr+kZh/VweRw6jVOnRXKXMvgn8hGUhmatgvZe1JJWOUariQ1/9o0huMZz3kAIu5ADiN1lYbI0b8nYZSeiU4HvkbZxuxM4FNgUOaOls/72puOwhxaJyBKN12IXV8f6rQPCeDlbCOpNcjAYeJpKxn0VDYtdBIQ93K5PIwUGqd5AJyt1sZTzRwPF2Isn5nC0UZi9ODg7BuHr4IkUu+E/EEWW1mywAbIFLQU5KkN3inPRI4EVG6Sofye4GTk97gf41//6OM9/vSHgmsj3jI9kE81n/vq1v07OXh/a0WOrNGy2kaEfGiWkYW6d2B/9kjgU3LKQiQ9AYftUcCVwOnGPeqYaSg2mzB60cKrasCZ1T/e9yj3YJ445ZG0kzNDF8dOTiVhbhH2wE5NKbfM5B0miONth2mC7rfFzsPcWbMNJ63OSKUdDRSzH4Lo3t79SHRcMta2nzw+2K7IwZn9vpwkd8Xmx8Ku/5ayvgKRQkcQ47DlQ3bDLBR+33z6TV9K7TEPdodgLeUOuF2d2IIURrOZA65U/LT6pj/RoyEGVmP70fq775EDKZs8Zur2t2JT4qdc5H8FtgP6cOcPuelezWeWs4b2SOB0xDDaQhDVdseCdwPuDN6Cuc6RNchxnQ6oneFPRL4ZdIbvKLYOXU1t81BVGvXBz5AlEbNDuv7Yn0mGkBSZW9v6mwdBC4GLu5qbrNNRaGaInidESX5bHoQR2cp3Io48c2EHnoQUbZycxrwCKP32mHEUPtViWM/jbXjtxsYr8bzcayjm92UwXFcCioNdXpgWbRtkI6eWXmJQA7VUz49LekN/h1oAn6EGMkrJb1BS2PBHgk02SOBX9sjgdvskcAl9khgjQLvN5D0Bm9OeoM/S3qDJye9wWeS3mCujeRerFMNahjrwEn33it7mnDSG/Qj0bEbjHldiLX3KoURya4WnFF9kTOqP+GM6ncjKTM9jKQKdSOevn2cUX2870dexD2aDXkPsj3RMxAv6+lmz/P7Yhsiqd+zMp5Xa4zzd+BR5O9wHyKe8zHSe/RHobCrJGEeRKXRzJHUiBiMag9QTBark3tPElI11H25bQPiFC1JVMOChYzskWZ8BtDuTgwie8qDyBqeLjO4HTESj0IcQh8g69BbSCZJwTXHpRIKuz5BHI9/N+bZgxi72xbTq9EKoyY+iPwdZyPrykwkayUzc+Fecqf5pRVDZxljXWKPBIra87qa27ZH2lH8AYkKXwZ82tXctpfJw8frezwm2rOEGIog6qdWmUeDwE0W1/LlcuS8kZ0y3YuIDpZdLTcUdj2HtDJ5xLjvIFJzunUo7CrJGd7uTujIGtDL6DTvHmSPv3Oc5y9CemD2Mvq70oNkxd1VyvxKRamhTgPiHu1IxOtg9sXuBpZ3RvX+uEe7GjgOc0/RQmCFUlUjpxJG6sudSHrMDCQKqwMnJL3BskUgs+65EiI/PZfR3tZBrL3bKaS9x/kl3ntNJO1mdaSf4g1Jb/CbrMdsjUTOapHPU7qmLgj8KekN5mpoPKnEPdpSiDd5LaQO6p/OqF5Sy4+4R1sPadq9D/L30rBOp/rIGdXH9ED1+2J/QDyaZpkcC4ETQ2FXSQI8Vvh9sXS02IwBwB4Ku76xuK5QTBhdzW0tyIExV7YFAENz36N3vb+CGGcOo6yibMQ92v8hNf7ZDtMe4FxnVP9z5i9bOhzLI07JT9vdiR/KOZdqxR4JrIiUccxBhPGeRaIhO1o8pQ9YIekNdhtKqC8if+tcUcZMHk56g+PVeY3CaFPxORJRzaYXWK2ps/XbjMcfAtyI+WdwAbBCU2frEte0PYeSOoghtHXSGyxZFNEeCdgRhdxDkPPP68C5SW/wgVLHHg+/L2abCEXglg7H+ojTaAekRvrPQIdhTObz/M0QB9O2xvOvBP5mZEVMGioNdXrwL+QwuhmjN7te4NQMAzCEpL3VMnrB7gEuWsIMxVnAHYw2sNOH6uvskcCjSW8wWe77Jr3BL+yRwA6IlPcajPwdvkPSKc0O9osY3wOaE3sk8Atk0dGMexwA/NYeCeyd9Aafypjf8/ZIYFXEQ7YPEvHSEA/tufZIIAKcnvQGJ3XhMsMZ1X8ArinXeHGP1sxIj898InBWkfkmrNfaOqQGZqLoxdpYtFEmAR2FoghuRqI+OUkxhD5zsW04gNQcPlLmuVyECGrsi3xXU4h3/5+YrCnt7sTXQDUoQ1cEeyTgQ0SAhhlRCH0DaRxuxRCScfF20huM2yOBbZFo3+7I2vMusBrW0av1ipjqIVg780DOP3/M+Pe/Ed2BHRgxjFKIoXvckmgoGpyJddR/gDIJJBlnLLfRe7OmnOqn4zFRrWPa3Ym3KUH8p92deAXp2VpVKGNxGuCM6oOGmukZjPTuew1pifFIxuM+jnu0HZG0ww2QL/wgkn44nQu1zTgkxzUbkg5wyQTdeyvEgMg02JfFepNLIfn9RWHIll/JaGMmvTHeY48EmpLe4GK1vqQ3uNAeCTyGbOzZnsVjkc/MGXneuxFJH1sFqUG4v5IbQon8nvw94UNIRNaMpxDj3KqmsmxpYSZEEWGrbINRBx4KhV3KWFRMCk2drQu7mtv2QNKv67H6rtUMM7jCM+l/1TIBLR+cUX0QOCzu0TZCnGQ6cI8zqldNnfZkYY8EdkPq9TKNhzrEOZ1L5bWeDIM66Q12Ansb7aNqkD3vgxzP/zRrHkshBuQ3SW/wfYvnrI618dmItGdZTFNnq97V3LYfUjd+mjGnl4CLmzpbn80xN1O6mttWR0SQlkbW/XubOlsnZb8zMolORpwr7wDXJL3BfJVb18PaQTqEiAS+UfIkDYzSnalyLlgiUcbiNMGICl7GOJ5aZ1R/Hdgy7tFWRjbnj4yNcokh7tGcLfat9n1tqVVnvrj06gzVjLHRGpBeVNgjgZlIjnst8JTR87Fo7JFAPdLOJNsIq0UW4WFGH+x7gEuT3uAnxiZ7IFIP0g3cnPQGn8/jtqdi7SWsQ4QQsvPpz8U8ItUInGCPBM5LeoM51bnskcCuiOcW4/79wHx7JLBrjs2+Koh7tBqkRU2+KVP9WDsX/o70R2pkbOrxe4hne6K4EPn72hlxFvQjkeqTJ/C+CsW4NHW2vmC0x9gXEX06OYU+C2pmUjMIKRt9q9/O8MzFmdJdSKrahOCM6m9QxkPwNOFcrPvA1iDZCWbpim9mlzkAJL3B9Hnjc3sk8DSiL5BdgtGD0VfZ2DP/iKiPDwD19kjgfeBIwwDN5ANkbzQTGenFRDTFEK9pN36Kpqu57ZeISnYNsncuBL7sam77UTn7huaDPRI4FNl30plEuyH79olJbzAf0bS3ETVYMwd2HbmNfMU4tHQ40jXYGyBp07e0uxPjqaVOKqpmUTGpxD3aTOSgsDTwgjOqT1jj4rhHSzeZ3WUIGwNa3cwUcMn6Lp5bdlQrvh4k53wQia6lPV4NSCrvBeOI2FhijwS2Rzzpcy0ekgA+ROru3gMuS3qDD9ojgeUQT+VKyEY4jBz6bwO8ueZjjwQ+QDyBZgwDZ2crz43znH6kzuOqpDdoqp5rjwRWMF5Htpd3GPEYrzkRBezlwpDTX0Tu9NNuxMh/D/i5M6q/aPVAvy/WjBTSr8BIKtdLwCGhsGtC09n8vthspFb5WOO+twN/nuj7KhSF0tXcVpdCP2Bw+Rcv0md+uebQsq82pOp6QYyEAWBXZ1R/eXJnWRwtHQ47kga5MlK/d1u7O1EW8a2JxB4JfIJ1m4T5iCDXJibX+oB9k97goznGbkJUJKX9lOy1A0hGxKlJbzBljwRuBA5jtEGaMu69bmabja7mthmIINEyJrfrBlZt6mz9wWo+xdLV3LYrEGOs0TwIPNPU2bpzMePaIwENSc/M26FvtDH5DHMDvx/Ze78YZ4zNkbrU7NczBLye9Aa3yHc+itG0dDiakR7dM5HPfA/iRD6y3Z24ZzLnlgtlLComjbhHOxBpZZHCkNxG+s+5xutZV+T9/oUYpqOibP01tZy4+TF8Mmtx6dh85HB9I2MXyx4gkPQGrypmDnkYi28lvcEx/QztkcA9wF6Ye2BPMlRgze5nw1r+Os0PwLaZKSr2SOBFpMmsFekU5n8BnuzUUnsk8EtEvt1sw1p4cPKls0/74JGDGGlUex8QcEb1d3Lcs6LEPdqTSC2LGc8gdQm9zqj+qcVjRuH3xWxICvIqwNuhsKtqXqtCUU0YkX0XcCKSGvggcLUzqn+e4zl2YH8kkvKQM6q/VYm55kNLh+PniNCFDXE6diPG1M5GjVPVYo8EnsBaxKYfMRat6gtfSHqDW48zfj2iZr0Hsvf+PekNvmpcWwXpiWyWGdMHBJPe4P9l/rKruW0L5PNSixzGu4HUgJY6aIezvnsP6C21b3E2Xc1t9zIigmY2z+amztaP8x3PEAQKA3siZ6NXgXOS3uD/8njuiUhU1iza2w+cl/QG2/IY5wRG6jtnIJHSb4CdJkLPYUmgpcOhIQGBlRn7WekDnO3uRFW+tyoNVTEpxD3a+ojAQfaCthXSc27vMt9vFUwMRYDaYZ0jPn1+qG29fXoRA2gfJCXFbLGdBZxnjwSuLjIylqs+rR/oyP6lPRJYFjGqzAy+WYiKn6mxiKSRjPc9nwfcZ48E1sqIUF6N1LFa1X/UGj+HIMqq2Q3eN8FC8GXthV/Wn/Tho1cyuqfj/sBucY+2jTOqV8vh6RzgYcZ+DnqBc5xRPd/6D2BxQX0+acMKxRKNM6oPIyJgd4/3WKOlzSWAjxHH43Dco90PHOmM6rnq6rLHWh1xyg0D/3FG9c8Kn/1oDHXEqxi998xG1tb7Wjoca7S7E9Xstf89Up+YvRcMAc8haaRWbGGPBGpy7ZVGvfwtxk82WyMZHmbGYrpFxyhjsamz9aWu5rZVkL3JCXy874nfz/pqznAHYjxqhjP0eJM01mJZB+uShUWImN3H+Qxk1Bo+j8w1ndmyORCzRwKH5KEUuiLWYmszEEMl1/1txmP+g3z/jkQcNi8A904hzYFqZHfGKuGnqUHU6ktSvZ8olLEI2CMBB7LZHIy8J48Bv0x6gxMpPLGkcxbmNXENwM5xj7a6M6p/XMb7bYhE2MYai6TY7rsPvka82PclvcFBeySwQY6x5iCLZ8FpfElvcMAeCZyNeOwyjZAh4HvM1TybECPWqu7QcvFPeoNDRkrp2jmmZUPSgHZEUk9AjM+fIk3vrQxGkNdwDmONxfeRTXLM3/iUDx6prU0NZ9dC1CAHqBBiOE46zqj+bNyj7Yn8rTY2fv0mcLozqj89eTNTKBQZHIn0OM1eH/dGFDzPGW8AI5J5LbLmpQ2bK185oa79up1WCuma7csSpOtPwdzRZ0PSJX+EtKCYUPy+2HrIOv9Oge1y/o205joBeR21jESZjgY+wjpdX0cM+HExatzPRRRWP0baqozX+qjfHgnMTHqDo9J5mzpb+zD6ANojgVMRLYfM/XY74Bl7JLBR0hv8JJ/5jcO7yB5rZgQ0ICUZ+XIBshdmv6eNwFX2SMA5ThnM61jXbXYjzl1T7JHA7oijOJ12/DmSDnxfflNXjMPaWNtdDUgNY1WyxDdktkcCqyGpj0cy0hh2d+Bxo8WBYmLYEusvzQAiY14S9kjAZo8EtrJHAns+v/Tqgznux1KDfW8mvcG7M2oDcrWqqGH8TcySpDd4PXAMEEcOJosQtdMtLPoYfkruNNL3xrnlb8mvRcLqGXMcRDzsJyHtI3LRZHgjM7keE3Wz2mGdDed/ZqX6agP2NiIFE0Lco9njHu3iuEd7KO7Rro97tC1zPd4Z1Z9yRvUtkUPWcs6ovrkzqj85UfNTKBQF82vMHVozgZa4R2vIYww/0qN1BtDY3VDTeOdmyzZcu/NKpw/b+HAmqRgAAF/gSURBVBD4uqXDEWjpcBRzZloP673HRsa6OxH4fbEN/L7Ym0hWSwxI+n2xqN8Xs3I+jiLpDaaS3uCZiOPw90jWzXFIvWASuJ/RTcTT6MCd+dT32yOBs4y57Ym8H7sgkcY9LMZOsz3wjT0SuNoQo8setx5Rcs3ODrEhn49xHQl50oakEWaTrllMFDDW/lgro9sR3YJcxJAekdnvW4oRnYOxA0cCP0IcA+sg34MZiG7BvwwjUlE6H2HddmQAUa2tSpZ4YxEJ+c5l9JfThiwufzZ9hqIcJLH2ONYiqndFY/R0SiD9uG4NbHTYf76tmzWcMr9nD5ImlMn1yMJqhaOU+SW9wX8lvcF1kc/ZzKQ3+FOrovOkN7gASdk1m08P47T4SHqD/0QOVLmK5GuAg+2RwGf2SCBhjwR+Byxl1ELuQG7j+evsA0HSG/wY8UT3IYsgQI+N1IIaUrk2/wlbk+IebRdkMT4H+DGirvdY3KP9ZrznOqP6AmdUXzBRc1MoFEVjJcQFsp4sn+vJRlSxFcOgGNBs3LTtCny03AyGa2ykamz1SDuq3yBGQaG8Tu4WE+M5+4rG74stBzyJOF8bkZKDBqSPm1XpgilJb/CNpDcYSHqDJya9wVszHKs+xDjJ3F8GkVp4/3jj2iOBlZA9LFstehai5P1LxNlptm80GM/zYJ6yvCHW6aF1SEujkmnqbH0cUULtZ2S/W4iohh5ZjnsY2BgnUmv8XXZGDJNu42ch4nTeOTsKm0EI89KbmUiUV1E6/0XObGZ/w2HguspOJ3+UsQiHYu31W98eCeTcaKqNuEdbKu7Rjol7tFPiHm2zyZ5PDv6EebQrBXxBjlSJ8TCixQ8iqRSzgXnYbA2BjQ+r66+pHWLEA5hCvri3IkqVmVyMGLRm1CH9CUuOgCW9wYE8ax9PQ1JEe5GDRy9Gu4akN3hvHve5AonmmjUZHkY2BBeS0roacgB4zR4JrGjM7xrMPae9jE1BTd/zH0hK0SVABPjlYE2twyZKgFY86ozqZa/fiXu0eqQ9yCzkgAHiIGoEfhn3aJuW+56l4PfFav2+2J5+X+xovy+20WTPR6GoYr7Mca0GMMvWyGQ2GSl7b63SSH9dDamaMcv7LOCUlg7HcgXO72rMownDiGplwf38CuAEZL3LfjEzAZffFyvJ6QlgtEHaBPgr8BXy97gW2CTpDeYTUTuM3I7jVRCH5W3G2Gb75UxgO3sksFXW78dTtM67nnU8mjpbf49E5X4NXAQcAWzQ1Nn6Vebj7JHAHHsksLKhdGrGv7HuOZggD0d60hv8wJjLPkiK9gHAGlY1mvZIoAapD7ViI3skkE+EXpEDI5V9L6TkKJ2d1mf8/KzdnSgkAl1RVM1i7oUkhXU6QNUR92g/RyJkOvK3HY57tOeBA5xRPVdkaDJ4CPGinICkO6T7NQ0AB5doMJyBSa3cB7NXmHHUNi0D178YvWLZwZ5tkI3tOuB/2fdLeoPd9kjgZaSFRfZGa0PqCLdEir4nnKQ32AvsaY8ENgN2Rd6ru5LeYN4R2KQ3+Lo9EjgWMdxSyAbbjbxX9YxOdW1APPIXIKmo5yFF9tshBlYKWeAexOiHZXHPT5GNczHxx9rOQjxsZsIx5+b7ekaN6dHWQTy4c5Ga4/ucUT1zw90L6+96A9CCvM5Jx++L7QjcwcghT/P7Yq8AB4TCrvEOvgrFkkYY+B1j15MB4HZnVB8vBb8HMebqAOIrNjKkWR4LBpAaw+y+tJa0uxPvt3Q4jgX+xohjrgeJvO1TrLiNoa58KOJIXBExOttCYVemCuyeWIudDCKppSUfUI26v5Mobg2dg7l+AcjfZClDHfVIeyQQRvZ3MxqQEqLMPfktRGF1tsnj+5AWHWWjqbM1icV+aCi7/gX5m+hAnz0SuAQIZ2XmXIj0U57L6D2rF6OdSD5zMR73pPEzHinks2n1wR/G2oBVFEC7O/G60UbncEQL4VPg5nZ3oqpbWSljER5AVLPMviRJcnstq4a4R9seuJKxG8O2wA3IB3Oi5zAPqcXbESmM/qszqpv24TOMM1/co/0T+AWy2T0KRJ1RvdTmpLtisfnMr2/sP3z7k5OIJ/Qw4+e/RALnmvQMXB3rFJZhpH6gIsZimqQ3+AolRF2T3uAt9kjgQcTruQKSlvl3zF9nHXAU0ppjwB4J7InUiOyPvP47k95gwa/fGdWfinu0vYArGOnP9RJwRq5ehVbEPdpFwNnIelaHGH6fxT3aTs6onl6AV8RaIEjDuo9YRfH7YisjbUSyDzdbIWlWVhL2CsWUp6u5bXMk7XAb4FvE+XljU2drLnGZPyM1bmnDqAZJu/sISWMcRdyj7Y84wdZHDLa7kCbkGwO1tcPjnsXz7nmXpt2duL2lw/Ewkv65ApKaeq+ZaE5Lh2MrJLNjPUQ4JdzuToxSUTYMxX8gRkW6XnNt4HC/L/aTUNiVzjbJtZemkPTRyeZJxHAzM+gWIueCNAPI3mPmxE/X/y/G6NP4C8T5NpORfW4AOaNUpNTIHgkshZwVVmBk7jMRJdflgF9lzPkjI0J6ObAf8nl+AfAnvcEJEUIy3qe7kUbx2WfhYeDBpDdYrMCTIgujv+rfJnsehaCMRYmY7I0suJkH5j7g9GKbr08CAcw9iDMAV9yjreiM6hNm+MY92sZIRKcOeS+HEHGBS5xR3bKmzhnVn0Pkt8tJLqW3WmQRnsHI33sfYCd7JLBD0ht8PeOxryLRNLPvSS2ykU8ahqfyJCTa9ylwddIbHLc1gyGic40xxnLkroFYnHpifBeeMn5KwhCJ2TLu0WYDKWdU7ylmnLhH2xc5WGV+9ucgEeF/IBFFkJ6RVt7rfqRvYjVwEuaft3pgM78vtlEo7HqjwnNSKCacrua2A5Ha7HSmyaqIEvFhXc1trqbOVtPIhjOq63GPdiiSqngksmbdg7S+GHXAjXu00xkdhZxJVjRsg897+HypegZrTYMstUgdfMG0uxPfI+IwlrR0OE5G6iLT78EmwAEtHY5z292JzLr6PZHUwkxhn3Ra/U1+X2yFUNi1CMmc2QNzAaBUsa+lzDyBiL1tyOg1ehDJ/vl3xu9uRSKpZrV1w4jhP4qkN/iAPRLYDYnY7YBE6G4Efpf0Bsvez9mCXyD1otlG7izAZ48E2pLe4GLD3kjtPcgodampULuKVsTRPoeRPUhHouC+CtxfUcUs8cZi0ht82x4J7Ih4MLdFFtD3gbOS3uD9kzq5wtgI6yjYAHJ4nhBj0VCvvBtZDNNzSPfh+1Xcoz3sjOoTWZeRzV8QA8rMU1ln/GS+VzZk0b4c2YTTXIFIg2d/TwaB18vYo6lg7JHAzsC9yOYzA9koD7dHAr9PeoPnFTDUt0gNxGoW1yfUiHJG9aJVZQ1aMT8I1QE7xT3ayoh3/egcY2hUT2H59lhHQHXk8KiMRcW0oqu5rR45wGcbAbOQaPqBSHTIFCNTJWfKXdyjzQWCWKdlylhdffrza8xZ9O3sOi1ls2UaL73AWe3uxLjK0i0dDhtyntgL2S/ubHcncu4XLR2OlZEUxszvfw3ynrS1dDjuymjYfTzm+xvIfrYbolJ6n/GzDyPrpI6cCY4xDMpJxYhq7Y5EWnZH5taApNW6MyNaSW/wZXsk8C8kGyxz3e8BrjVq9czu8Rxl7t1cIIdibuCCvN4dEBXTURgO2oqkfya9wQ+NMpffIm3k0ue6/0t6g4W0/lBMQ5TADZD0Bl9LeoM/ApYGVkh6g81TzFAEazEWEG+dqdJmmdgO6TtoZqzOwCQVaIK5ixHVqTSDxr9rMZ+nDdgts+g86Q2+DRyLHBK6kRSXbsQLetAEzDsv7JFAHSNiLemDRfpQ4bdHAtvkO5axGfkxFxvqRYr1q5m1clwbQIzg9cgtv/6DM6p/leN6JUliPdcU4mlXKKYbO2Pt7JyNtGoold3JI4VUS6Ed9ezXgynp0diFZBm9ABzW7k7kjAwCtHQ4ZiI1+Q8iB+8LgBdbOhzXG0akFblUM21Z13OJ7NgQxy2hsCuFlBwcjzj+PkCic9uHwi4z9dBJIekNfp/0BvdHlG33BZxJb3BXi5p8DxLpeg/Z099CeiSfXaHpFkMuo9xGEanNE0HSG0wkvcHjkt7gsklvcJmkN+hRhqICVGRxFElvsNQox2TyB2AzxkZZdOA1Z1T/aALvvQrWB9waYI0JvPcYkt7gsD0SOBzxPp6MbKyPIylNufrYjNnIk97g7fZI4L+Ip23Zlfu+f/PiN+/8355XfzWZi/seWAsvNSBKrY4cEtmjMOoYGxjxatuQiGNL0hus9ubzcazrDRuQ5s6ZaTVmVJNozDVIHa2ZF3oR1ZE2plCUG6soWZqlynCP7IwS6wcOpxrP/u9nv3dG9QuLuE8bozMEapD150ik5MIqi2FZrLMKGhhtID6IqFeaRUnrgMXlCKGwaxjoMH6qGqN9VE7HtqHOfR3Vkw2SD1FEEM8sC8aGlPAoFFWLMhanD3chQiXHMFLvkO6vU84+P2a8jfVnaRARL6koxoZyu/GzGHsk8DTWIiFPm9UGJL3BBXGPtgCJsq2JqMzeC5zpjOqTIXW8ArmzApZFeglelOMxo0h6g3+zRwI3IVG4QeC9KVKvG0LSvbI34UXAw86o3hX3aF8iETunyfN7qaJDRyjsetbvi/0RkTtPi3UMIH+Tg0NhlxIZUExHniOjPjqLPiSVslTSNfX50It5tkVOWjocDYAXc6NvFqL2bLXePI/s13NMri1kdG3/tcgan1l7D/Je3R8KuybSOawonA5kTV+f0Z+NXuCMpDeYq6ezQjHpqDTUaYIzqqecUf0kpED5L8A/kcVp7Yk2aAzF09cxT6UYRFRaq4WzsU65NE1jiXu0nyFiKesgEb06RBH0hbhHW3GC5pmL18j93a2hCAnzpDeoJ73Bt5LeYHwiDcW4R1sh7tG2iHu0knuYOqP6f5F0sXQz5BTiJHkHcZyk65mOMX6faWz1IpHJa0qdRzkJhV2/QlLm/oFEEtuAdUNhVz4S6ArFlKKrua0BaX9h5nBMId/tv5R6H2dU70J6AY5nBPYBVzqjej79b7NZhtzRS3uOa/ci4mzZDqEhJPthcS/gUNj1NdLCI46kYs5H3qc7gJ8WPOsKYo8ElrFHAmvaIwErwbFpgdFPscUeCVyL1NYfiazlXyKfseeBQ5LeYGQSp6lQ5IUtlZoKwQNFtRP3aCsgdYJrIwbVIGK0uJ1RPbvh/aRijwS2RcRrtjB+9RJwZtIbHCPCE/dotcjivozJUAPAFc6oHpigqVpi9IDcLMdDepPeoFnKy6QR92jLICIWeyAHmxlI6xpPqe1S4h5tNaQ9zBxEXe+R7N6ZRi9GPyJi1I14+NudUT2vdF2FQlF+uprbrkda9JilVL4LHNzU2fp2Oe4V92g1SGuOc5BIZgMjatA2ZF16BDjEGdULLjUwIovfYS1m8lG7O7FmjufbkXr0ZmQPrUMcXwe1uxOfZj/eaKGxAdIT961Q2FW1Nc32SMCBGOs/Ql7bMFL6cJGRCTRtsEcCmwMPM6IOn3Zknpj0Bm+czLlVK35fbG0k8r4H4gC5DmgPhV1qf64ClLGoyInfF6tHeljNAZ4LhV2WQjqGKur2iBHzDXBPsS0RyoGhfnc4UtP2LnCnM6ovTvewRwKNsLjhvdUYmyHpS2apQQAfOqN6LpGVCcEeCawIfIZ17eILSW9w6wpOKSfGIe01JBU006M8gKQxb55t3CkUiulNV3PbMsg6Zpa2OQzc0dTZmneP4LhHWwtpI7UXsrZEkCjhwqzH1SLp/PMRB+cByFoaK6bXayYtHY6rMU9F7QFa292JcTMZWjoczUjJw0ft7sRbpcynGrBHAkvN6Z/5fr1eu9T8Gb3akLa42qMXuC7pDZ45ebMrL/ZIoBb5TK9gcrkP2NhojVHouDakhKbZGP+BpDdYFcI4peL3xbZGjOsZjGQYpDN/dgiFXQWnhCvKi6pZVFji98X2R+Ss0ymP9X5f7A7Aaya5bRz2y9KHrxjiHk1DNv4hRFTnLsSbNxup+bgy7tF+7Izqr0FuIzGD8QyYSTFwkt7gl/ZI4DzgN4z1yPci/UOriT0BB2N7HTYgf7PdkM1CoVAsOayLGHVmxmINIgqSF3GPtjni2Ms8cP4GODbu0bZyRvXFDeiN/oufG/98zfgpF2cj0b7NkaiSjtRQ3844fRbTGG02Jq01Uznx+2IbHqJt/WDtsLbssC1FTcrGB0t/ycurfETKlmoEWuyRwMVJbzBXf+SpxB5Yt2epBVqQtNS8sUcCqyKZW3bkezEEDNojAZdZRtQU5EbGilw1Is7lExEBx0mjpcOxO3AJsClyvvobcIHRO3WJQBmLClP8vtgmSN1jdjrNwciX5fiKTyoHcY/2U2RBmYUsptmF/3MQw+7BuEdbpYAUozeQ1CSzyOIA0kR6sggi6UcnGXMB+U5XY4/QXbCOzs5CpPOVsahQLFl8xVgHUiZfFzDWX5G1JHPdn4m0zzkbOL/g2RVBuzvR19Lh2AWJAu2NpFz+q92dmNb9UY2U2N2AbYAfEOO4BniyQa+bZ8O22LW61vcrUpuq4blV3wcxpHdEnLvTgdWwzvipw1xozRIjovgwEmnOHve/9khgjaQ3+G3Bs6wSjPRTqz7PjcAJTKKx2NLhOAK4gZGzcD1iwO7X0uHYrN2dWGj55GmEMhYLwB4JbIwshN8D/8kzMjVVCWCuTjcTONrvi50bCruqouVA3KMdhqjDWdWJpLEhRqQLqQsZF2dU1+Me7RRE+jpz/EGkNuVPhc63XBh1Hr4bzl73lvl1Mw//oa7xm6eXW/uqB8/4WzUuXgsYqcHJZhCpIVQoFEsQTZ2tH3Q1t8WBjRgr2tVDnutr3KOtgig5W/X6/TkVMhYB2t2JFFI7/USl7jmZ+H2x5ZFaz9WRM8IAUo/4MNBgy/qz1KY0Vv9hBV5rStBfNwjikJ0uxJFoshn9wKsFjrczsBLmBqiGpDxfXuCY1cQcxoo6ZTJeW50Jo6XDUQtczdizZT2wMmLI/r7S85oMpq2xaHhjfooUsq+CfIEvTXqD9xYx1lzgbmArxDc2DNjskcAxSW8wL6NjCrIN1t6xAWRjnvQefEad5OWMbyimmYGomuaNM6rfZrTO+B2ShjCANDYOOKP6pKXOxD3aUsC/doTtEIPL9tNPnzsj7rnpYEQUocYZ1SvicTRSgI8GzkBqNV4CLnVG9bTc+61ISpiZsThsXC/kfmsg/QhnAI8CT6qaR4ViSnIEspfMYGQd70bS7vLN3JhF7gNnvvuDojhuRVKK0+t7+v3eBwvlbt02zLJ9c/is7jsbsoZPFx5DIuLpLKdMhhHHdiFshPVZvRE5l05l3sZa3V0H/lfBuWSzJdbtdmYiKuvKWJziXIdIFacVIZcDbrVHApckvcFLCxyrA+nllh1p+4c9Etgm6Q2+WdpUC8fvi9UBhwLHIpvsHUA0FHaVK6r0DVL3Z0adcb0aWBZoKuDx/UDBPaicUf0B4IG4R7NVkVFyF2Io1jNSIzEHeBJZZFNxj/YBcIYzqj84UZMwxGtuQ+oS09+3lYHd4x7t586ofoszqr8f92hXIO1cMlVae4DfO6P6x3ney4a0yjgTiSLUIaIBr8c92l7ZQhYKhaK6aepsfberuW0d4DgkbfN74HrggabO1nxVMj/EvHUTyAH90VLnqTDH74utgTiXzQ7VudqIMFSj9wOnTKc+g0lvcNgeCeyJfObmIXtzP/JeHJb0Bj8rcMgvkM+2WV3vIPBx0ZOtAkJhV7/fFwshSqjZCu79yH4/WdSSW5diOttQo5iWL9QeCWwJuBnrTWwEfmuPBCJJb/CLPMdaDcnDN0vJrEdqIbwlTNcSowZgLyTUnU7zuAZRcHsE2JCREP3WwLl+X2zrUNj1uclwhXKlca/sL28K+DAUdsXLcI9yMEBh/UKHkChxUZTbUIx7tNWBkxEF2feBq51RfdzalrhHa0b+5mb1PjWMvCfrA3fFPdoBzqg+UTWBeyJF/ZmfFRvyfbs+7tHudkb1PmdU/1Xcoz2LtK9YE3m9lzmjeiHR/kOA0xi9cc5C3r9rkOimJXGP1gDYMlVxAfy+WC1iyJ6JfNc+RAraO0JhV7U4BxSKaUlTZ+t3QMj4KRhnVB+Ke7TzkTru7H2/H/i/0maoyMHaSN2hmaiLDTHWzfbooe9mdruS3uC0q1VPeoMf2COB1ZHI6gZAF/CvpDdYTLlFDHkPzRhCHCtTnYuRz4ofcXRrSD3zMaGwqyxtc4rkRazPlwNIXe4SwbQ0FhFD0cwLA/KlO4j8G3E3Y63WVstIr7688ftiqyI1FGsh+es3hsKub7MeY0MUlw5m5BC+JXKYvQnYhNGLcyNiOLQjDeNL5WYkcvljRgzSPuS9OLIM45cFZ1RfGPdoTwM7Ye7FHEL+Tt3IIrS3M6oPmDyu4sQ9mgu4BZlfPbArotznd0b1q8Z5+qbkTrvKpBEpEN+kyKmOxy+wrisYRgzJuwGcUf1uSjDWkVpas/6RM4BD4x7tFGdUn599Me7RNkF6a/7I+PcrwFnOqP6E8V27E3EKpQ+azbaU/lfEIfOrEuarUCgqw1XIWnoBshfUIAfOn6cVsBUTwidYixSlgG+RdTW9buvAQP1w7U8+Ou6SaWcopkl6gzpi6MVKHKffHgkcZIyjIXvdILL/n530Bt8rcaqTjuGQ/T+/L3Y5sud2A29PtqO23Z3ob+lw/BYxZjPPHTqisP/nSZnYJFBIRGYqMRvr11ZLYfULX5DbqLbsO2iG3xdzIz3/fgn8DLgI+Njvi+2U9dADGW0ogiwSc5FIo5kXrxbY0++LzS1kTmaEwi4dieL8FLgHSW28FHCGwq5q6/t0MvLFzTSeFgFfIgeHKwAfYHdG9ecrPTkz4h5tNiNqs+mNVkP+rm1xj2bZuNngGwpr29Ec92hWaqSlMi/HNRvWKqjFkOt9GUTqk0cR92gbIp/fnZH3WEMcL/fHPdrOiFLrLmStCymbNsOG/ssHjt/RVZaZKxSKCcMZ1VPOqB5GMgN2Rr7jazmj+qOTOrFpTijsehd4E3NRlz7EeX8G4hj/BInGbB8Ku+4F8PtiM/2+mJkDUGGQ9AYfRSK4lwL/Rhwjmye9wXyDHlOCUNjVGwq7ng+FXZ2TbSimaXcnrkCymT5HgiWLgAeArdrdia8mcWoVZbpGFv8LHIV5tGMIKUDOl9eBT5Hi7ezIVU61NkNkZwOkXrLzqNd3rEfkvbMjggD3+H2xplDY1Wf8+xTMIyhgLTwD8vrmIeqTBWMs2scjkc8GxFA8KRR2FZpnXzGcUb0z7tE2RSJA+yPvwc3A5c6oXq1f5oOxNvZqkNTm3+Z4/iNY1+hYjWml0FYq/wF2wNwJU0d5+25+Aixjca0ece5kcyljJfVB5nsF8Dyp1CxsYwPTNobps827Pe7RVnVG9UJk/BUKxSTgjOqLgFcmex5LGIch6/w8xDmYjnxdFgq70tHDv2Y+we+LbYqcn7YHUn5frBPwhcKuRyo16Urh98WWQ9qDLAL+l3HOy5ukN9iFBBcmBCPDhmox0qqJdnci0tLhiCJnj752d2I6d0IwZboai3cjXoA1GF103Q88l/QGX8x3oKQ3mLJHAocgkYkG5NA5jHjMrkc8DGMw2mzcCqyKLJwN7y3zxbtrf9dUky0jbWADDkDSEgFWzDGtdE63GYuQ/PiC8ftic4BnkfctbdCeBvzC74ttP8m54zlxRvWPqLLej+OwItapO/XI58YSo0bnUOBe5HtsVlObjQNRHis3UcRQn8HoiH4fcE++4jV5EkLEq7IdKYuMe5k1yd0Ta6GFDbTUok7dVm9x3cawrbYGSbUNFjVjhUKhmMaEwq5P/L7YWkg20k6IGug/QmHX4hRJwxj5MbIez0UyqzIdjBsjTvMDMgzMKY3fF6tB1NpPQvYoAM3vi50eCrtuKNM95gKnIg7mBuB+IBgKuz7M8/mrAZchf7tavy/2IuAPhV2FBFXw+2JbI3/TpYAHgVtDYde0ES4y2uFM2X6WpTIt01CT3uAgEum4HzEQFxr/vYUi6vmS3uDbSH3hrxFD9Abgx0lv8MykNzjGC2OPBFYAHkearzYi3rYZtcM1G9iwWR3qGwB7xr+fwbomLW2sZtMDtIXCrkIiTpm0Iml+mZHPemT+fzV9hqJYXkNSGszoQYz2nDij+mNITe0fEWfGqzkePswECTE5o/oPiCrrS8jncj7yffsHIi1dTv6JGKd9jHw/FiKtQqycBTk9pQ2phf+pSQ1Z1rGuOvhyHaL2p1AoFAoTQmHXolDY9c9Q2HVyKOw6P8tQnI2cae5E2pmdgHkmSiOyn00XAkALIyVEcxFH55V+X2zPUgf3+2LzEBGW3yJpqqsi+/yrRuR2vOevjOzbhyNnvRpEOO8/fl9s3zznYPP7YtciLS5ORkTmrgLe8/tiY8pCFFOT6RpZJOkNfgMcYI8E0q0VkklvcIzwRQHj/YAsYvksZCciX7xR0YrvZvbUrjpfpzZlGhQcQGoZ0/wB+dJl/436kdTQh4AwIwfmeiTSWUr04xeYC/nYgM39vtjyobBLpeKVh1y9gwYREaNxcUb1TxDJaeIezYcYj2YRy1oKazFSEM6o/gGwddyjOZCaofcNI7Lc90kBp8Y92jVIf7ZG5LvwX2dUt1KMuxdJ+zVzjr3aW7PsLfXDPZcMkXIM20YSEbRUP6sNvsi84c+HkPRXhUKhmBK0dDi2RRxoKyHO6+vb3YnJann1J0RgzUp4MBOn3xdbOhR2mWWJTBmM9mZ+rI3iC5GSqVJoRQzEzPe1FkkFfsjvi20eCrty7V0BJBiQfShtBK72+2Jr5JGWehhS9pX5OucgQYebED0AxRRn2hqLaZLe4LdUPnS8OyYCNB8t/RUbf+kwi3OkkOjIfelfhMKud/2+2MFIj8f036keSXv1hMKuXr8vdhOi4FgPPF4GQy5XkfkQUgNa0D3iHm1p5FBvB94C7qgWNdJJ5izMv38p4OYi+wW+iKS6mBmL3cATRYxZEM6onoh7tK+Bs+Me7QRk03gZON8Z1ct2f2dUfws4L8+H/wpRZM0WvuoFTg+FXUNXnHrJVjOG5ycT9dvWwzA1DLN+/3/Ysv9mEOO90EbKCoVCMSm0dDjSqY/p0oBdgEBLh2PXdneiovWcfl+sEVFQz8dQTJNvf81qpgnrhu4AG5XhHh6s39dlgdf8vthmobDrY4vHHI71HJdHMs0+GGcOZ2F+dqwFtvH7YvZQ2FWQEKSi+pj2xuIkYWqcLqod4tHV3+r58YcbUkPNMJJ6OoCI0fzYUCBdTCjs+q/fF2tCFvqlgBdDYddHGdd7kChjuXgW6/quRYjQT97EPdr+SNogiNdpIfCnuEfb1RnV3yxlotOAc7DuS3Vk3KOdWkhPx7hHm4HUJPYZ42Z6CoeRiPTNxU8373k0IF7sZkZe367ANnGP5nFG9dsmeg7ZOKN6PO7RtkbqHfdF3uPHAb8zqr8IcOZVv/467tH2Guqtjw3YZmszUgtmaAzpyOf+PMM4VSgUiqqmpcOxK5LdlBnpmYkYFXe1dDhWN+qvKsXyFGb8vR4Ku4rOAqsi5pP7jP1DGe4xnrL/HKTtg1X/YatafhDHda7raew5rg0gkW1lLE5xlLE4MVyLRBfHqLF+PXvB4AfLfGlf57uV9kXSB94BHsg2FNMY9YcPTuRkMzgf6UOXvQD1ABeGwq58+/oR92irMNIaIs0c5D35r6EuOVHqnFVN3KNpyAZqxTxkY89LMS3u0dZDFH5nIu9xemPuRRb8z4ADnFG9p9g5F8DRwHqMNYQbgfa4R7vLGdWLraktGmdUfxc4MO7RbMa/xxyWnFH90bhHc9amvjsB2Ar4GGh3RvXXKzpZhUKhKJ5TMTcibIia4zbkURNfRr4iP32MFLLnnTqx06kMobBrgd8XewhxwGeftfuQnthFYwgGPY7ocFi9vxoiXGPFnUj5kVl08QfGjyqCZIytgrlh2QAsDnD4fbGZSGruicg55y3g/FDY9Z887qOYRJSxODHcj9RJuRgJzw8hUYqj7/zt8T3AhERY/L7YjkjbDQfwPHBlKOzK5wtPKOx6zu+L/QQRs2lEFm8NuIQcLUIsOA5zxVYbYjDuSUba7ZKEM6rrcY/2LZImYkYPEgkcl7hHq0Hex+UZWazTG0ctIsb0DbBF3KMlnFF9otXJfk7uli/bU1jrmrIyXrTWGdU/R3pzKhQKxVRkVawjQjoTWLtuRijs6vP7YjdinjKpM1KY8ygQCIVdL1VudhNOC3IOm8eIAd8NdCIqqQXj98WWRtpBHcPIOS0XuVqt/Q5JEZ6LeYlGPhHo32EeZOgH7gyFXd8Y865D/sYbMeJM3hK4ze+LnR0Ku/6Sx70Uk8S0VEOdbAyF1KMQVaonEOGam4Ctk97gvRN1X78vdhFS0/gTRJ3yJOB1vy+2T75jGI1yV0ZSB/cFVgiFXb8rovfOBli3c6hDlLumJHGP1hT3aL+Ke7Rb4h7tYkPUpVD+iHnksA+4soAU1B8hRqfZ4aAe8Rr+BvgLkIx7tE2KmGshmKXWpklRWN2KQqFQKPLE74vtXPf1NmswbHm0awAmowTkLEQNtQfJfBlE9rqrgfpQ2FUXCrv2mGaGIkat3vqIkv4TiBjbicCPium1aNR/Pos4ZdPG2XippI/mmN8nSBbN/UhAQ0cM2cNCYdcd+czJaLFxDmIcdhv/7UX+3pkK5YcxujwlTSPwe6PHt6JKsaVSqv/mdMDvi22GtE8wSz9ZAKxYyZ43cY92AaK0ZWYwLgTczqg+YYbzRBH3aHsgqRsaYvgsQhbYXzijekcB49QB/0IEimYiC34v8jc8wGgsnc84xyIy1WNSnk1IIQJF9olKBY17tPOAX2JuFPYBKzmj+nSoR1EoFIqqwcgqekBv+Kqxe8PfgTZmCxkAnmh3J/ao/OwWp01ujYiNLUKiTu/lflZl8ftiayKZWZsj6ZNXhcKulyd3ViP4fbEW4PfkFiPMpBfYaTwj3GjBcRzS67sbiAB3FVJ65PfFlgEOREphngiFXa9kXb8f2Mvi6QuAo0NhVzk1OBRlRKWhTh9OIHdj9n2BvDxFZeJ6JDc9mxSygD1QwbmUhbhHm4W8h5kLdVp59K9xj/aYkcY4Ls6oPhj3aAcim+dBiLH4b+DZQoRtyK+mII0NMUz3Ne41EVwDnMZIz6Y0vcAflaGoUCgUE8IfgEZtYAUa3z+e3rX+asScUmDTh6kZeh5Rv5wUjOyk54yfqsPvi+0H3Iqci+uRrJ2f+n2xTxFtiRuAf1vpS1SIn2JtKPYidYbpTKNO4JQ8DMXVkFTZOYwEG3YCTvH7YnuFwq68HNehsOs7xMi0Itf5FMxV3BVVgjIWpw8rYZ2bXgssV8G54IzqybhHO4oRBc6ZiMdqEbCnM6rn7bGqIg7Ncc0GHIvk7+eFYRSWunk+BXyJLPL5pJU3AGuVcL+cOKP613GPti1S97odkm40hPT/vGyi7qtQKBTVTEuHw4ak/KV70t0P3N3uTpjuhS0dDieyZu6DrO2PAIF2d+LV7Mf6fbF6YIv0v+vmNzP3lSBD894mVduD1rMaWt8qu4TCrqpqSeH3xdZF9AsGgXtCYddnkzSPWcAtjM7M0oyftYyfnYHn/b7Y3obw4GSQK+V0EAkavAjo6VrBPIgg58PM8+NsxJF9CtLPuxz8C/n8mxm79UyiloFifJSxOH14HEnvMEtDTQEVrwVwRvW74h5tVWRzXBWplbjNGdULztWvElbBuuZuBrB65aYiOKN6Ku7R9kIW2rmId1DH2nEwQIY62QTN6QNgl7hHWxYp7P90MhRQFQqFohpo6XDUADciypTp3odu4NOWDseP2t2Jb7Me7wReYHRv2D2BHVs6HDu3uxPZ+3mKLKETW6qOuh82trw+mRhiJ39H0h5tSB1j2O+LXQH8qgiNhFI5kPHbe8wGtkW0IAoV/CsXHcBmWBtcj4fCrrx7NPt9seWAHTA/LzRSXmPxRiTbrIHRtkcPcG0Bxq1iElACN9OHKOJZyl5kFwFvTVbhuDOqf+uM6lc6o7rfGdX/NoUNRZC0Dqv59wAVbXacxjDO1kDU5sLkPhQMArEKTCv9t/9QGYoKhWIJ51jgYEZngMxGIlbXmTw+yGhDEcSomoWIo43CiHQ9ivnanwLunwQDLBcXIi0f0v0fG43/noakWlaaFcgvDbKRyW3tcQvm0cUB4P8KMRQNlkHOBLmulwVjblsjnQIGkLPU98D/AWeX6z6KiUEZi9MEI198F6T56UKkYLgPSXHcd/JmNq24F3lvzTyQQ1Sg6b0Vzqg+6IzqdyA9raxqKlLANcp4UygUiopyDtbRoH1bOhxLZf1+P6zPZ9u0dDjMMoh8jKiNphlGyj9aC5rtBGJEFa16Qc5ClEMrzSvkNpoysWp5VQl+j/nnwgb8r4jxPhnn+mtFjGlJKOzqCoVdByFpr2sjavuhKnNkKExQaajTiFDY9arfF3MgvexWQiKKb0/ytKYNzqg+FPdouyLy10shLUAGkejtPs6ovqDc94x7tLlAjTOq/5DnU1bBupA8RZ79GxUKhUJRNlbKcW0REtn6IeN34znyx0SXQmHXG35fbBukL/LeyHp/H5LW+W5Bs51YliX32XONSk0kg8cRw8nJ+OfiVyd8NiYYaqNHYF4KU4eokB9UyJihsKvf74tdCZzBWOO9F4kAl51Q2NWNODFyYtT5uoHfIp+Lb5HIerjdnVBO7wqijMVphuGheWqy5zFdcUb1eNyjrQHsjmwsnwD/KXe0Lu7RtkFaYmxi/Ptd4HQk1Wg7JIUnBdzpjOovZDz1RWQRNmul0QO8XsRc6pFam8OQqOU/gXumqEiRQqFQVJr3EXEPM2qBbBXth5EaRbOUwzfa3Ykes4FCYVcnku5azfxAbqGWrys0j8WEwq6U3xfbHSnRWBcxvszSUgsyoIx2IT8GtkFe922hsOurIqfpRNI3zYxFG1LLWAy/RQz4YxDHBYiz4tRQ2PVokWMWTUuHY64xl70AB7AOI695ZeB8YNeWDse+7e6EikhWCNVnUaGoMuIebQvE05nt6etDRILWR9J1UsbvHgQONyKfMxEDNi2fnUYHPgPWdEb1vKW/4x5tHtL7cXVGDNBuYx67TfEaVGDxhm6rNqVAhUIxPfjdlSue/unSDX/QNdsoIZGa4ZS+9pd93+z/+ncx4EpnVH8NoKXDsSmy7manrvYBe7e7E49XYt4Thd8XiwJHMjYLphc4PxR2XV7xSRkYPavXRyJauzPagDo5FHb9Pc9xlkdSQx1IbeaAMYYvFHb9pYh5rY7oJmQ3tU/zfCjs2qbQcTPGb0LahfQBD4fCrgnZ21s6HFsjdYrbG/eKAr9rdyd+aOlwrAU8jXzuc/WS7AYObHcnHpmIOSrGooxFhaLKiHu0h4DdMPe+pkx+3wtc4ozqlxrPXx9JP1om47GfIamyBSmhxj3atYiXL3tT7wfCzqj+q0LGqyb8vtj6wOWIB9OGbFKtobDr2UmdmEKhmDbEPdpGwNNPrzVn1vNrzLXZSDGMjRpSrPz9otRBr3xjqxtGR4yJM51R/TqAlg7HlkjK3dbGUG8AvnZ3Ysq3GDCawD+OpBbOQfa1HuN3BxbSDL5M86lFMmdOQFTF70cye2zAjhRhQPl9sUcRg6gu61IvsFso7Cq4ZZbfF3seaZGSnabcA5wQCrsmTTchH1o6HHshvapnMnI2GUC0NjZHIuqbM34adgq4od2dOG6CpqrIQhmLCkWVEfdogxSeIv61M6qvkDGGDfESrg7EgeeMvo6FzKMWEUqy8mR+74zqZVNLqyRGf6+0NH2m8d0L7BUKu56clIkpFIppRdyj3Y+RUtrdUMP7K8xkqMbGqt8NsOLCMdUL/Uj2xxfpXxhiNjXt7sS4NV5TCcNAcyFtKwaQ8obHKi12Ygju3IekiqazZ/qNOf0oFHa9UcSYayLZN2Z75zBwRyjsOrzIcZ9hJPKWQvasu4Gjqzk7xqg//BTRVcimDzHOT8X6vJHNP9rdiZ+VaXqKcVA1iwpF9VHMgr9c3KPZ0gah8d/HjZ9iaST3GjGvhLEnm0uQzTY7StuI9NDavOIzUigU04q4R1uNjNrD2QPDbPqpablhJm7gD+l/tLsTvRM2wUnEiB7eZfxMJl6kf2Jm2uMMJJvmJmBjsyeNw1pI+qqZ4VMDNBcxJqGw60O/L7YOku2zD9J64gbgf1NAUXQDrM8MMxHxHqv3LJtuJEKpqBDKWFQoqo97EW9rIa1tviw0cpgHC4H5iMy1GR+X+X6VZF+s398N/b7YvFDYNb+SE1IoFNOHuEdbFXiZ3GIu2cxAlFEVleNkzOvjbMDafl9s7VDY9X6BY36Cdd/GFPBBgeMtJhR2LUCicFcVO8ZE0tLh2BA4GimDeRT4V7s7MYAY3+OdUczEe7IZAD4C7ilhmooCUcaiQlF9nIsoqGU2ZU4hbTqGGbug9iL9l8qKM6qn4h4tiKi/ZW+mPUiR+nSlkAOeQqFQZHMhhWdfLAReKvRGcY82AzgcOBTZJ25GKVbnS65SikFg6UIHDIVd7/p9sTcRhdLsc3YfGZHjQmjpcCyN1FYugyifP1JNiqAtHY4Qkkpah7zuI4HLWjoc2yFpuVZzHURSaZdGPsNmRuOA8fxbgdPb3Qn12a4gylhUKCqM3xebiUTrvjErmHdG9fcMRdRLkBYZNcB/gfOMn70Y8VouAu4EwhM03TAiQnAcI02L64ArgL9N0D0rwQPAAZhHFztDYdcPlZ2OQqGYZhxKYWcsHakRv6uQm8Q92jKIONcqjNTc7Q28HvdoP3ZG9WnbW7elw6EBP0UMlGWQtmGhdnfiLbPH+32x5RCjelkk6vsAUgO4CuZ7QR3wTpHTO9SYz1KIiM8g8jf+XTEtKVo6HEcD1yIO4wakrvLTlg7Hru3uxJdFzrFstHQ49kWitJlppHOMf9/a7k5s39Lh+C3wO0YrvadV3duQtinzEGf5sPGjASchf6v57e7EtP08VzNK4EahqBB+X6wRMb5+xoiq6d+As0JhV951KXGPthmSRpkC7nZG9TcnYLrZ91wF2ANZvO93RvVie0VVBYYS6vOMrVvsBfYJhV1TWppeoVBMLnGP1sPY9kdpUkiq4nKIAaEBCcBVhGL1PxADKDvtsQ8IOaP6BYWMN1UwDMW7gZ0ZyXxJq8oe3O5O/Dfz8X5fLG1spZDIVQ9inJyIGOhmTemvC4VdZxY7R78vVg8cBOwEfAP8o4iUVlo6HBsBz5rMcRB4sd2d2L7YOZaLlg7HQ4iRZ0YfsGG7O/FhS4ejBbgI+ZvVIhHSEzIN/JYOx7qIkuxC4D6rvqKKyqGMRYWiAhi9/B4HtmR0ikU/YrTskk+BetyjbYikN6X7P/0TuNgZ1SfdszjV8PtiGyLpuz9GDMYXgLNDYddTkzoxhUIx5Yl7tLsRtU+zlPb3kSbrmwNrAh8CLxehWN2A1JVntzZKM0olezrR0uE4HBF3mW1y+Rugqd2d0AH8vtgGyD6bbWwNIS1JfoM4busQY7IBuBFpTD/p6Y4tHY4bEFEbzeRyL7BFuztRbAS0LLR0ON4D1ra4PB84IN0f1DD0VwF62t2Jbys0RUUJqDRURVVjGFkbIWkjb4XCrgmNaPl9sdnAmcDPEc/XY8BFxchnZ7EjsCljc/FnIAeG7ZGUFUviHm0bpA/RTEZSZk4ADot7tE2VwVgYobDrTWAvQ8LdFgq7xujYKxQKRZH8BumXm13v3Qf4DMPwJYqoUcxgzjjXlyph7GqnBXNDEcTY2x54wvj3GZgLztQiRvtnQJPxnDlIg/uvyzrb0tgYc0MRJLq4LsWny5aLtxAVWDPnSAMZoj6GEf9JhealKAPKWKwg9kjAhqQgno/Ugf0A/AW4KOkN5t3sdUnB74ttihQzr4x4ABv8vtjtwPGhsKvseet+X2wWkuqxFiNG3aHAfn5fbL9i6gwy2AtzxTWM3+/JOMYi0G4yRj1iSP8K2RAVBVKM59geCayD1GdsjGzSf056g53lnptCoZiaOKP663GPtitwNbAJksKfBM50RvVYmW7zPRJZsoosFpzyOIXIJR40DMzN+PdGWJ93dWCdUNj1GqW1mppI3kfEcszqKmuRFOZRGH0NlwH6KtR+pQ0pVcmO3g4gQjyfVWAOiglCGYuV5ULgLEYO/EsjUaxd7JHATklvcNLTHUrB74tpSGPbGcCLhsTzeM9xAKsBH4bCrs8yfr8iEtWbw2hP1aHIxviTMk49zclISlBm9K8GWfwifl9szRJ6GS1CNiWz75xuXLck7tFWBNazuFwHHIUyFiuCPRI4HElRqkXe+50Ajz0SOC3pDd4wqZNTKBRVgzOqvwBsFfdoSyPrxTflaHEU92jbA61Iv76vkGwTM5XsCwsZt6XDMQs4BzgeMbZeBs5Lpw9WGQ8hRqCZoTwDqYVL8y6wFebROY3qbwP1R0TsLtsQG0YMxdcyf9nS4TgWuBSj7ZVRT3hKuzvx8URNsN2deKqlw3EOovQ6jOyNi4C3geNaOhxHGPN5BXimmlRcFeOjahYrhD0SWAH5UptJAncDRye9wX9XdlYjGPP7EVJD90ihkU6/L+YCIsjCPYxEvK4AfhMKu8Y0mff7YisBtyALeLoHz2PAT0Nh17d+X+wCpIWE2fvVD6wbCrvKmsbg98Xextog6wG2CoVdbxc59gbI5mX2evqALXKNbTR3fgfrhrXznVF9qWLmpsgfeySwDBIdMPs79ANrJ71B5UFVKBQTQtyjnQKEkDXIhtTY6cblfuPfdUgt+yX5jtvS4ZiBKIOux+h9qhfwtrsTt5Y++/LR0uFYGTFEsh3KvcAt7e7Ez9O/8PtimyMpqWOMrZTW9/6Czc/5PTa2Bj4Fou3uxJhI3WTT0uE4F8lKSzspu5FzyY7t7sT7GY87DQgy+rXqSBR6g3Z3YkJLeVo6HMsBhyCR36eRoEgH8rmsRc6H7wF7trsT1ZTqq8hBIU2/FaWxN5JKacZsJDJUceyRgGaPBK5CDNkbkP5MX9kjgWPzHcPvi22FGH7LIQv3PGQjOwNp/5D9+DrgSWA7ZFOaZ/x3V+Bho05xD6wbtC5CjMxyY6VcB7LY5rpuidEq43xkgc+mB/hbHkZoElnszRgGHixmboqC+Qm5GwsfXamJKBSKJYu4R2sCLkf2orSBZEMO4UNIJLEFsBdiKBocDazD2H23EWhv6XCY7V+TRrs78TmihBpH9tH5iLH8N+Q9WEwo7HoZCBjXB4xfL9QbP/luweatK2LjD8AvkHKOd1o6HCdU5lXkT7s7cRlS9nAZcB1wCrBGlqE4AzlzZZ9VNOSceXoF5vlNuztxbbs70QZ8iZwNZzPSRmMWsAEwacERReEoY7FyjPdeT1ZK8HmAF9kg5ho/s4Gr7ZHAbnmOcT7mkZZGIOD3xV41PHtpDgCWZ+xrrkfqBXdB1MxyMT/PuRXCA1gb9DakgLsYIogqXnYKTAppbH/SeAM4o/owkh5kVnvQR4HpRoqiWRHr6O4MYKUKzkWhUCxZHIa1s0oDZjujeoczqhejMOnFuq6+BhF/qSra3YlX292J9RDnsQtYud2dOKndnRgjVhYKu65EoqYXAVembEMnd29w2SC21FxGXnc9so5f0dLhaK7Mq8ifdnfi/XZ34rft7sQJ7e7E39rdiewMsM2x/nzMQMp4KsnpmDvJ64BNWjocG1R4PooiUTWLleNBrN/vbkTIpSDskcAqSKrmIcgCcQvQlvQGvzRUPc9GmqnPQWSjLwiFXU9nPL8B8GEeMWtEjMBH8pjKtpgrYKXZBHjM74ttZvQY2hlrFbdGZFO6FmlpYLZ5DQGP5jGvQrkMcGOusPYZsCqSPpE3fl9sFaTPklldxSCwcr51kM6o3hH3aCnEs7wMsoG/DZxYiV6LCgBeRb6vZp/fbkpTNlQoFIpcLIW1mE0dsi8Ui5UTDEbaSVQl7e5EXuUhobArgZHt1NLh+DGy11updz7X0uH4BrgJCE+RFg/6ONcrrYuxBebGIshcmineCa+oICqyWCGMOqbrkXSJTAaQ4uo7CxnPHgmsCbyONJRdBbADpwGvb37lpWsjyprnGr+fh/Tle9Dvix2UOQzjG3n5MK6QDeLV+pXx/79HDCUzBozx3mVsdHEIiaz9dCJ6H4XCrg+QqObHJpedwAt+X2z1AofdFEl9MaMeEUcphNuQov4NAIczqm/mjOrPFTjGlMfvi9X5fbGf+H2xe/y+2P1+X+w4vy9WVJpwgdyLqBhn1+GmkM/mbRWYg0KhWDJ5BvPsEpAG5qUI0dxJ7r3q2RLGrkZWw/r8U4MYkqsjGT2vt3Q4VqzQvErhJawNwj4kRbeSfMzYvTJNDfB55aaiKAVlLFaWM5C0z28QYyn95d0h6Q3mVMM04Y+IlzHTa1MPLNO0cOmbkOaomZ5CGxK1u85QLQU59OaqQ7CqkcumHXktuahF6jZBPHW50j1fRRY9e9a1YeDgUNh1f57zKoaXLX5fg0Q5f1PgeN+R+3uWV4F33KPVxz3apcZ4XUgj4UDco1nVdU5bjBrQJ4C/IqlHeyFiSm/4fbHlixxzht8XO9rvi/3B74udbQgwjcFQLN4ZiTB3Iwe0hUjN785Jb7DsLV0UCoXC4BHkAJ7tbB1C9oZS6sCuQda07OhUDxJZy8cpPJV4N8/HNSBlM/83gXMpC+3uxBBS1pLtUFgEfIGc1SrJVZg7IFLI5/Vpk2uKKkQZixUk6Q0OJ73BPwArIGIwc5Pe4AlJb7CgRdgeCdQhhpdpz52VFy61FdZiLA3A1sZ8vkUO3WaGWy/SHyof/oSkEozXy6cfIBR2xYHfMzrKmjL+/Svgt0iaX3aNXy0i6T2GjMP+dX5f7Hd+X2z9POeezWpIXZoZtUhKaSE8hxgTZvQgG3Q+3Ia0WZmLOAVmIUX898U9Wq7o8HTkV0jUOzNdeBaSJnxloYP5fbH1EGPvaiQt+2LgQ78vdozZ45Pe4EfA+khvzFOA/YA1k97gZDdFVigU0xij7cauSASxH6nd7wNeAHZwRnWrjJ1xaXcnvkFaXz2GGBe9iEP5Qgp3kk4FnkHKS8ZL3QRxqrsndjrlwVCtPRA5eyxCPiPtwFaVNvjb3YlngN8BfaRSQwC1+vBw/dBw6sCXv7nn7AeSS1dyPoriUa0zpiD2SKARSdU06xnEvu9uxlIDVnXqzEeic/8zxloNWVTmMmJgdiO9cPZIeoMDpqNk4ffFGoCfIZ4ks9qGfiAYCrsuzHjOXkiKx5pI7V0bsoD3YF3fuQiYkVnnZ/RqfJoRcZ5BxAC+PBR2nZfP/DPGGq9FxTehsKug6JXfF9seEc+pN35AXuM9SEqtVZoGAHGPZiX7DfK32tcZ1Z8oZE5TGb8v9hXi6TVjAFgqFHblFeHz+2I1wAeAg7EpSX3AZqGwK18PtEKhUFSEuEdzIIJwCWdU/6CcY7d0OJZGylc+MxOLmS60dDgcwP8Q5/0McmdaDba7E/U5rpeVlg7HHMRp/mW7O5GPQVu1tF2xwi6zBvRYb33NDPv3A9oGn/fSMJTqR6KLWzqj+heTPUdFbpTAzRQk6Q322iOB94F1za5/NWv+50sNzFoWc6OtHvFCpsf6xB4JrIcooR2MeBNvAO40Uu7yIhR2DQDX+32x94D/IAtvOvI5gOSm/zHrOQ8gRtRijBTDXJEys8/sHUg0MG081xk/Z/l9scdCYdfD+b4OpM/SF4gBm80QBdaWAoTCrqf9vtiGiDLYzkjq6TVAbDxD0WBvRozMbGYhzXpLNhaNliXrIu//u3nObTKYl+NaCtlg800H/RGwLOafuVrgZCR9XKFQKKoGZ1RPIBkRZafdnfie/MtQpizt7kSipcOxDpIlshHgR/YDMyqiDdDS4VgN+Asi8KcDvS0djouBP07VRvYHvvrt8ch5NDPAMQNx+oaQQIOiilHG4tTlHET9NDva1PvZ3O9Pd3638nWIwZSZqtoDtIXCru7MJyS9wflIzdcVpU4qFHY9ZkTSLkAMo/T9VwKe9PtiFwO3WCmAhsKuPr8v9ibW4jpPZUUV10XksM2irI1IWmHexmIo7Er5fbGTEaMwM7qoI+mkF+c7Vta4CUSdthh0rOWwU5RB4czvix2ApGEuZfxqod8XOyMUdlVVI2aDOLChxbVexFuZL6tj7ZyoQ9JNFQqFQjENMaJ29wH3tXQ4PkZaXY05VzEi0DdhtHQ4lkGc+csycqaZiZw7lkYU6qcUcY9Wg7R8MbM36oCfxD3aMUaKtaJKUTWLU5SkNxgDfo40Pe0xfj4D3F/M/f7O5+zvnd1TN/BRitRgilQPUntwPgUUaft9sZX8vljQ74u97ffFXvH7YqfnUpy0RwI19khg95s3fnLLjo2eDKdIPYEsBvOQBW8DRBH2onFufTbmgjkDwJ+zfrca1sqqNmCNce41BiPiuQ/SbmQYMcbuArYMhV2fFDpeGbgba4OwH4msFo3fF/sx0IGo6s4yfpqAiN8Xc5Uy9gRxPub1sT3AZaGwq5CUnVzpW4OIkJBCoVAopjlGvd8pwLdIiUf6XHVEuzthmb3T0uGY09LhyNV6JF9aMNdrmAW0tnQ45pbhHpWmltyBqTosSqoU1YOqWZzi2COBGiR1MIWoe62D9HRcGqhtGKrT63Vt0WCNvu/7J1yUdxqFEbF7FjHy0umsvcBHwHahsGuUaIs9EtgI8c7NBWpW7J5Xs/NHzTNqU6biKwPAmqGwy1I22e+L7Y2IlazKSApmL+LgeBU4NBR2fWG0sngbSWnIZhi4PRR2HTH+K7acRw2QyrcX4kQR92gR4CeM9nj2Avc5o/phpYzt98VeRPohmfFOKOyquuia3xc7G3E6DCJOgTqkiP+sQtJnjdTb9xCnQrbzrBfYxOgNqlAoFIolgJYORy2SVaIDb1ulf7Z0OPYC/oC01gJ4Ejit3Z0oqu9xS4fjBWBLi8sLgJ+0uxMPWFyvWuIe7R0syqaAd5xRverOGIrRKGNxGmGPBGqRGoYmxh585wOrJr1BK2XOUfh9sceBHUzG6QdCobBrcTqEIbjzCdIQ2AawVXIt1vquiRrzDL9e5FCfU8bZ74vVIcZpE6M9T0PG79cLhV3Dfl/sIaT2LLuurxfYJRR2vcAUx0jlOBmpqVgFiSj/AQg7o3rRxe+GsTSEdZaBDswJhV3jtUapOH5fLN0/tA74Xyjs+rLIcdZGFADTggK9yOf42FDYpfomKhSKqiHu0RqBI4CNkf3+JmdUN23BFPdoyyEZSFsje/R1zqieVwN7RW5aOhz7ISrlmRHFFBKR3LLdnYgXMeZTwPYWlxcAB7e7E48UOu5kE/doBwM3M9ap3wv8FGn5YnNG9WrVSVjiUTWL04v9kMOuaUsN5Ev5l/EG8ftiyyGbi9k4M4DjGJ07fwQSfVxsGdakbFaGIsa4+aiKHYhEKs1aaDQh/fXuM+7/ENJbsgFRTNWA06eDoQhgLKJXGT/lZhBzMSSQza8q1fBCYdd84F9lGOd9I0K9P3IA+wqpq/221LEVCoWiXMQ92qZIr8U6RPm7D7g07tGOdkb1O7Ieux0iIFeLGDSDwIlxj/ZLZ1QfJTanKIyWDocNyXzKTj1N97O+ADiqiKGjiF6DlZz9U0WMWQ1omJ8nP0baod0O2OIe7Smg1RnVKyImpMgfZSxOL5qxbvkwC9gsz3HmINEmKwNidta/t8j+3Wdzv2e1+ctRN2z6EUshqbLjsZ0xF6s5bAPcFwq7vvX7YpsDOxrP+R64Y0k67Pt9sY2AQ5FDxAPAE/mkzhqCPncgKa7ZRvkw8DqS0mzqua4WDAeHF9gcqUP8ayjs+ijf54fCrkGk9rOk+k+FQqGYCOIerRZZ2zN706X3+3/EPdq6zqj+acZj72b0/plWCf9d3KM95Izqb1Vg2kVjZNPszsjedCdwbymZNGVkJePHDA3Yt8hx/wGchpQTZUbhepH01rxamVUTcY82A1HYNwsQNCPpvunIwo+AR+IebU9nVJ+qhvG0RBmL04vPkTTRbGMO4/f5ymx/itQVmnm3UoyVkP7UGH/x4vbZ3G/pqVuNOYtsaKlRNkgvYuDl08D8WyRKaLbIpHv0AGL0IO0jqqbfoN8X2xRpR6Ih7USeKXfto1FTeR1wJPI+aUiLjlf8vtjeobDLTAhmzDDIpjyP0e+1DVGa/dTvi10GXDDZtZtm+H2xHZEIs4YcnhYhbVNODoVd0cmcm0KhUJSJfbB2BtcAv0AiWiCtIKyyd+qAExGjpChaOhw1xlx6J6KdQ9yjNSBr+lbIOcSGKGq+G/douzijeneu51eAYXK3+FqcTmnUP+6POLe/Bv7Z7k58Zvakdneir6XDsT3wSySDaw7wGnBeuzuRj4O9GtkdazV3GPs+NgJ/wlpHQTEJKDXU6UWulLwUkuIwCnskMGbBC4VdQ4h4SI/JOH2MlW/+O1lf+JQNHlz7dT6Z9y26bZgUqV4kl/9qwJ3rRWRwExmLbhY2oBrbOuD3xTS/L3YTkjLya0Ry+7/Ag35fzEyIpxR+gaThNiLOHxviLNgKqWkcl1DYlUTSL69EalvTC3s6paYBUagtJq1mQvH7Yg3APchrTh+k6o3/f7XfFytYDVehUCiqkDWwbhrfgDj20qyMtcJkLdIyqGBaOhwzWzoclyP7xA/ANy0djl+1dDjKrWYZALZF1vX02WI20jLpslIGNpRLnaUoi7a7E13AhxaXhzAyVIyeiR8ANwLnIi0w3m/pcJycY+zudnfi1+3uxIrt7kRjuzux3RQ2FGH03zBfNop7tFz9lBUVRhmL04ikN9iNpCL2MNKUfBFi4B2X9AYXq4/aI4Gf2COBdwHdHgkstEcCV9ojgcwv5x+BS5FI4Hykx+DXgDsUdj2Tdd/PkTqKUQxqOs+sFuf2DZ5d+PCab54DLBsKu1qNlL9xMXoT/tqYQ9poHDb+7QuFXV35jDMJnAochBhaGrJQzkIK1y8t8738mEeAZwA/y9c4Nd5LPyJoY7awzwLOK3aSE4gL60ORhhjTCoVCMdV5H+v68X4gM620M8c4w0B33GOqVG6JEU18AGktMRsxOpdB9ugbCxkrD07FPIraAHiMNNuCaOlwzGrpcESQmvQXgS9bOhw3l2A0nsTYFk46IkSTblH2b0SQLp0OPMP4aWvpcFipnk43nsbayaGYIihjcZqR9Ab/iwi9XIIUDbcBzUlv8Ob0Y+yRwJlI41knI5Go44Fn7JHATJC0zlDYdSmwAnAAkkqwUijsutvi1vOt5qTXDNd9NXt+bSjsWlTo6wmFXX8w7n0HUj93K6JwOq5QzyTSytimviCb3/F+X6yc6d+rjHN9uQLGWgrzFOY0axUwVqWwY70R1QNrVnAuCoVCMVE8gGTnmKX0DQN/zfj3M4h4iFl/3hpkT7+iwPvvhugeZDsgG4FDWjoc6419StEsm+NaHeb7qyWGIM0DSLnGDMR4mwEcAvzPMIQLot2deAx5Tx5F3ud+5HyyRbs78UlLh2Mj5Ixl5sxsAM4s9J5TEWdU/wSpN81WVM+VmvqWM6pbnikVlUfVLE5Dkt5gF5LuMAZ7JDAbMSSzF9sGpMH9UWRsOqGwqwd4PI/bPo3k5ZtFuYaAV/IYwxQjknl4sc+fBJpyXKsDlvH7YkcCZwDLA+8AF4XCrnuKuFcSKYa34psCxurGOu0XRDio2uhEvO1mEdReSvjcKRQKRbXgjOp63KPtAfyPEYOnB3H4/sQZ1T/PeGwq7tH2QjJ+nCbDNQLHxT1axBnVX81zCgdhrdJZg9RU5qNFkA+fAA6LawuRvaoQtgc2Zew+0YC8P7sjpSIF0e5OPAfsanF5DawjwRqj04anOx6kDvFYRA+jHknPXRNxomdGuXuRs5GiilCRxSWPnTH3NoJsBD8rcty/IQtjtrdoEPFwLknKVl/kuDaI1I7+Dlko5yD1hf80Gs0XymVY15ZGQ2FXv8k1U4zI7z+R1GWz8a4pYn4TzcOIEJKZkTuMRNAVCoViymMomK6KZAJdCJyF1Cd2xj3a7+Me7X9xjxaJe7QtnFH9M+ByxkZ00jRQ2H6fKxKUGud6oVyC+b7WC1xeRD++3citFL9HgePlw4dYZ73owBLT79IZ1Rc5o/qJiCN9D6DZGdU3QupSH0bej2FEPHFPZ1TPJ0ChqCDKWFzysJF7US/qM5H0BucDuyCRroXGTy/wKrB70husOhXNCSTE2FoGkE37PkQeOjuy2whc7PfFlinwXjcgPSYz5cT7gWeBcwocC8CH1MZkem67gZcpf71lyYTCrmHgx4gneiHy2hci4gv7hMKuQiKrCoVCUdU4o/qAM6rf4ozqFzij+rXADsCbSJ3fLogB+ETco52LOCNz1XQvbXHNjH9hbsCliRUw1nhcD1yLrOe9yN6ZTvMMFTFeP9ZOch1rg7po2t2JN4F3Gb03pxmg8DTgKY8zqs93RvUXnFH9Y+Pfbzij+h5IxHemM6pvq1pmVCcqDXXJ43GsJbV7gI5iB056g6/ZI4HVkc1rFeDtpDf4WrHjTWH+DGyJSH3XIwZ4H/AkElm0SuUZQvoz/aOAe52MeOqyjfyXQmFXwRtgKOz6we+LbYbUchyOzPdm4N5Q2FUN/a3GEAq7PvT7YmshRuP6wGdALBR2TbmeVAqFQpEvcY/WCNzCaOdjuoXQ+Ujv2UHM9/yFSFQnXx5DaiF3ZHSUrgfoaHcn3i9grJw4o3oKOCvu0cLInqgBDzij+gdFDnkHI6Iz2QxSJmV1QxX2QEbaXjyA1F8ubfw7nelzdrs78VI57jkdcEZ1K0NeUSXYUqklKeCjALBHAul2DpkbzCASFdzYUFWdMvh9sfWAnyICLY8Dd+WruDqR+H2xDZGNoxb4TyjsesHvi92OKNaa0QOcGQq7rs9z/OWRiJpZvV4fsHUo7Hqz8JkrFAqFotqJe7QjkD67c0wuDyF1YtsiPesasq59AazjjOp5O9VaOhz1yNnhNMQA+gIIAn9udycKTQ2tKC0djjZEwTTTWdsD/L3dnTipDOPXAvci9ZFpobg+JDL6GyR9+Bukz2KuUhWFoupQkcUlk0uBLqTmYUUkTeIW4OwpaChehPQArEM+z8cCl/l9sR1DYdfnOZ88wRiGWraxdjewF+aqoxoiXpAvh2AtSFMHHI30q1IoFArF9GMFrOviapEMn32QOvl9kchWA/AC4C7EUARodycWARcAF7R0OGqq3UDMwo+0zAgg4jOfICmtN+U7gNFuZDukL/GXwH8y3sNfIFHXTCf8TOT99ra7E9uU+gIUislCGYtLIEb94F/tkcANK3TPc660cKk/zlo047D+2kWHbXblpQ9+PXvB2UlvsNh0j4rh98X2QmrsMlNi5hj//iew02TMaxxuRdKDGhi9yfcCd4fCrkLe97nkPigUWv+oUCgUiqnDq1jX4vUAzzij+gLgkLhHWxERVfvMaGdQElPMUKTdnUghTvFbinl+3KOthCimroGUfQwBw3GPdrAzqv8PibaatfSoATZu6XCs2u5OfFrU5BWKSUYJ3CyB2CMBmz0SOHxef+NLO3yy7jvOb1fea/X5yzc6v12pcdePNjhwky8cb9kjgY0me555cA7m9X+1wJZ+X2z1yk5nfAx10u2A/yBF7j3Gz9XAMQUO9zTmyqUg9SiPFDlNhUKhUFQ/TwIJxrZoSBm/uzH9C2dU/9IZ1Z/JNBTjHm2VuEdbN+7RVNP0HBgRxfuQdhezEIf0HGAecE/co61C7t6Qi8a5rlBUNcpYXMKwRwI2REAlskNi3c0ahmqpGxaxtBpqqE1prPvNyg32+cvcnPW8avysrJHj2iKkb2TVEQq7vgqFXQchKcAbA8uFwq7WIuosn0b6DGanEg0hPRHvKHWuCoVCoahODCGY3YHXkeyUtBL558Cuzqj+g9nz4h5t07hHewVRvn4R+Cru0c40jCLFWLYE1sY8G08DTkTeRysRkDrkvVYopiQqDXXJYw/gwHn9jbNmL5pBjYm/QEvVsOZ3KzbbI4GlgKOAXwMr2yOB+UivvQuT3mDe/fsmkHeQtBqzDa4B6XNUtYTCrvnA/BKen/L7YnsiPS73YKTZ7UvAkUbfRIVCoVBMU5xRvQvYMu7RNkXUoD8HnrDqRRj3aGsiQnCzGb13XowYNW0TOuGpyYZYG4IzEGPyAqSfY3Yqai9wbbs7MaX0IBSKTJSxuORxPNDYuKiBYVvKdPmzYWP24Awb0tD3SEZSPecBZwA72iOBnZPe4GTXLISAXRm7OC8CHg2FXcnKT6myhMKuH4AD/L7YShj1KKGw6+NJnZRCoVAoKoozqr+K1DCORyuSRpntZJ0F/Dbu0a50RvVqcAZXE59jbSwOAR+3uxPPtXQ4jgX+mnGtAdFPaJ3g+SkUE4oyFpc8lgVsCxp6qUmZZ5wMM8z8ht5+pB1FdluGmcCmwJ7A/RM4z3EJhV2P+32xXwKXIQt5PSJV/T4y9yWGUNj1BSJjrlAoFAqFFftgffZLARsg2SmKER5GlGTNWpQMAn8BaHcnbm/pcNwD7Nr0w6I1dor/MLTq94s+AsBdqakqFOVHGYtLHg8C2/Y0DMz8pnEhy/fMRctKRR22pfhwmS/vR1o8mDEbOIJJNhYBQmHXn/y+2K3AYYg66NPAY6Gwa8o2EPX7YnOQFiD7AQsQ2fMHQmHXZEdyFQqFQjG1yRU1rEUcrooMnFF9KO7R9kfOT7WI03wIMRTPc0b119KPPfuBpIb0c9zTuK4Bi+Ie7XBnVH+o4pNXKMqALZWasmdqRRHYI4HlgPeAefVDtbbdPtyQOYtmUjNsY9iWwgZ8vNTX1zy/6vuvA7/HXAoa4MakN+ip0LSXGPy+mAN4DjHI0+m/3Uj/xYNDYZee5zgzkD6MGwCfAf8MhV3flX/GCoVCoZgqxD2aH7gIycTJZhhwOKP6tC/hKIa4R1sO6ae4DdKn8TpnVH8r6zG3I47e7KysYWBvZ1R/sBJzVSjKiTIWl0DskcAGwO3AqqQYWr537sxVFiwTX75n7i31eu2f71335YVAGDjVYohupJbxYUT85kRgaeAj4P+Afxi9HBUF4vfFHge2R7yRmfQAvlDYdV0eY2yIGJcNSNpMr3HJHQq77i7jdBUKhUIxhYh7tDnAd5hnlg0Bf3FG9dMqO6vpgdFC433GGopp+oEmZ1QvWthOoZgMVBrqEkjSG3wLWN8eCWyAjeW/nrWg85VTf/VV+ro98nIUONzi6f3AW0hz2v8BmyMpGSDS0tcA6wDnTdD0C8IeCTiBC4F9kXqMfwPnJ73BjydzXmYYIjVbM9ZQBIkyngHkNBb9vpiG/G2WZUTAIB0d7vD7YusuCcI/CoVCoTBlZUQEzuz8V4tkpChjsTg2QlJPrYzFesAD/LFSE1IoyoEyFpdgDKNxFPZIYHWkHtFqsXsM2Uz2ATZhxFBMMwtotUcCVyW9wa+yn1xJ7JFAM/AsYiylDbCfAgfYI4Etk97gBxN5f78vthbSC/KjUNiVz72WR9pfNFhcXy6PMfZkrCR6Gg04DpH4VigUCsWSRwprZU9FaXyDtB+xogZpc6WMRcWUohobrSsml12BXHVxvUlvsBfR9ppt8ZghxJicbP6IzDEzUqchQjiXTdRN/b5Yk+/su14eJtU5TOoO4A2/L/akETnMxYdYbzQp4DWLa5mslWOMBqSGUaFQKBRLJu8BP1hcWwTcVrmpTDteQkTprEgB31ZoLgpF2VDGoiKbRUghthVpJTWzVMk0tnGuTzj2SKAe2AXzCFsNEl007x1SAmtd99u1uuv6E9pwzWY12OprsM0BZqZIbQM8bqSJmhIKu7qBGxipMcykD7gkjyl8iPwNzegHOvMYQ6FQKBTTEGdUTwEnM3af0RFDJ1TxSU0TjPf2kBwPsQGqXlEx5VDGoiKb+7COTHUD/zD+/x3Gv81I181NJhrmhmLm9bJijwQalu+Z+3yDXltfk/XVsmGrTZFaEVFJy8VZwN2IYdeNbN69wCmhsOvxce5v+2TeNw8ajzdLMxpmnJpHhUKhUExvnFH9buAA4GVkrxhERO+2cEb1zydzblMdZ1R/CjgBa6f7L+IebacKTkmhKBmlhqoYgz0SOAcRhclsm9GL9DDcK+kNDhuRu5cRUZuGrMf9LekNnlSp+VphjwReReoqzXgi6Q2WdcG2RwJHbfqFI9L89apmkuRpgqGw65fjjeX3xVYHdkTezwdCYVdPjvuuB1wO7A3Ylu2Z89oeH2y0Zg01GpKGm+6bdRTwAdKTsgFDpGgq96RUKBQKRfHEPVoNkDKiYooyEPdoKyPq8GZngRRwnzOqj+c4ViiqBiVwoxhD0hu83B4JvI8omq6LFG1fCfwx6Q0OG49ZZI8EdkB6Mf4UiVJ3IyksbZMy8bGcBdzD2F6RvcC5E3C/7fprh+p1m46WGhu4HGZ4qIaa7/MZKBR2fQx8PN7jDLXX55AWGTaAb2ct3Oy2DZ/t3TGx3h9WWbhMPZAEbkbqNN3IBqYBpwCdfl/sx0YKrEKhUCiWIJxRPVfZScWJezQbLE7pnKqsiThpzYxFG7B+ZaejUJSGMhYVpiS9wbuAu8Z5zHzgOHskcBKigrogbUxWA0lv8BF7JHAIYuiuZvz6feCUpDf4zATc8utP5n29aJMuh0Vk0ZYC/lnme16CifqpXjPc+Ngana6kN7gZgN8X+znSGzPTcJ4NbIy8P16/L1YPLAN8Hwq7Bso8T4VCoVAoTIl7tLUQZ/P+gBb3aE8DfmdUn4i9eqL5BGtVcxBtAYViyqDSUBXTHkPIZgUgVe52HoaBdSRw7JBNn/fGip9sYkvZajf8alVqUjXUYGOYFMO2YYZq9PP/dPkh/1fO+9sjgR7GRk7TDAIrJr3B7/2+2DtIlNiMfuB6wMtIHfPfgLNzpb8qFAqFQlEqcY+2OvAKolSeWfDfC+znjOqPTsK0SiLu0R4DtmdsUKYHONwZ1e+r/KwUiuJQkUXFtCfpDaaAL8s9rt8Xmwk8jqSUzKpNaWzS5RgcqB1KPbNqPLX6DyvUzB2YycL6Pv2r2QtCD/lPK6uhaJCvousqOa7VIf0XM3trHgts7PfFdlA1jQqFQqGYQC5ESimyRRcbgauADSs+o9I5EngS6Z88B3HeDgF/UoaiYqqhjEWFonhakb6FM9O/qKGmbsZQnd78tf2rB9Z57QvgDeCKpDf46gTN4X7gQMyVjd9OeoPpGslPgGaLMTTGqsPOADZC+m4+UoZ5KhQKhUJhxoFYK5SvHfdoKzqjetkdvhOJM6p/Efdo6yGvbRfge+AmZ1R/Z1InplAUgTIWFVWHPRKoQwyxM4HlgC+AIPDnaqqJBFrIMBTT2LBpy/bNWfao13dcPxR2TXRPpV8BuzO2brEXOD3j35cBVyO1pZkMYd1mZBbgQhmLCoVCoZg4xsuQKaonsmGsXQbsY4zxP+BcZ1R/pZjxCsUZ1dMtSW6vxP0UiolC9VlUVBVGfeEdwK+R9A0bsDJiLFZbj8B5Oa4NjXO9LCS9wXeQuogHkabKw8DzSIuTxzIe+ncggtQnDhqP60EijoMWw6eARRMzc4VCoVAoAPgPsn+ZkaCIMhLDUHwecXjWIcGR3YEn4h5tyyLnqVAskShjUVFtbIekPmaLtjQCbqNVRLXwWo5ri5CI6IST9AbfTHqDeyGpozOT3uA2SW/wyczHhMKuVCjsOg3pO3keUiOyJ9Kb0Spa2w/cNnEzVygUCoWC85BsmOz6+F7gtCLbaFyGZMdknnNtxu/+WMwkFYolFZWGqqg2DsEktdNAAw5AGtBXA+cD/2asYdsDhEJhl1XEbkJIeoND4z0mFHbFkSjtYvy+WAQ4htEpqr1ALBR2vVTWSSoUCoVCkYEzqr8X92jbAmFgN8SoewM42xnViy2D2BvrgMg2cY820xnV+4ocW6FYolCRRUW1YVU/h/F7qyL4ihMKux4CTga6gQXGTz9wDVkGWZVzCnAG0oNyEZL2EwCOmsxJKRQKhWLJwBnVO51RfS/EaTnHGdU3K8FQhNzn2xRF1kEqFEsiqs+ioqqwRwK7Ancjgi3Z9ALbJL3BNys7q9wYLTR2AuqBp0Jh13eTPCWFQqFQKJZY4h7tAWAPzI3Cl51RfYsKT0mhmLKoNFRFtfEo8DKwFaPTUXuB+6rNUAQIhV19wAOTPQ+FQqFQKBQAnAvswFgF8F5EaV2hUOSJSkNVVBVJbzAF7IWkcnYjSp3zkTrFIydxagqFQqFQKKYAzqj+KrAz8CSitKoDLwF7O6P6E5M4NYViyqHSUBVViz0S0BCvYHeV9VdUKBQKhUIxBYh7tBlAjTOq9072XBSKqYgyFhUKhUKhUCgUCoVCMQaVhqpQKBQKhUKhUCgUijEoY1GhUCgUCoVCoVAoFGNQxqJCoVAoFAqFQqFQKMagjEWFQqFQKBQKhUKhUIxBGYsKhUKhUCgUCoVCoRiDMhYVCoVCoVAoFAqFQjEGZSwqFAqFQqFQKBQKhWIMylhUKBQKhUKhUCgUCsUYlLGoUCgUCoVCoVAoFIoxKGNRoVAoFAqFQqFQKBRjUMaiQqFQKBQKhUKhUCjGoIxFhUKhUCgUCoVCoVCMQRmLCoVCoVAoFAqFQqEYgzIWFQqFQqFQKBQKhUIxBmUsKhQKhUKhUCgUCoViDMpYVCgUCoVCoVAoFArFGJSxqFAoFAqFQqFQKBSKMShjUaFQKBQKhUKhUCgUY1DGokKhUCgUCoVCoVAoxqCMRYVCoVAoFAqFQqFQjEEZiwqFQqFQKBQKhUKhGMP/AydDDt4r7e53AAAAAElFTkSuQmCC\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fn.plot_spirals(spiral3,y_spiral3,3,spiral5,y_spiral5,5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training/Experiment" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we'll prepare to train and test our learner. \n", - "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", - "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", - "- `n_test`: number of data points in the test set\n", - "- `n_trees`: number of trees\n", - "- `n_spiral3`: array containing number of 3-spiral data points fed to learner\n", - "- `n_spiral5`: array containing number of 5-spiral data points fed to learner" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "mc_rep = 100\n", - "n_test = 1000\n", - "n_trees = 10\n", - "n_spiral3 = (100*np.arange(0.5, 7.25, step=0.25)).astype(int)\n", - "n_spiral5 = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we're ready to run the experiment. Since we're going to *run* the experiment, we'll use the `run` function. Intuitive, right?" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "mean_error,std_error,mean_te,std_te = fn.run(n_spiral3,n_spiral5, mc_rep,n_test,n_trees)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "What's the output you ask? Good question!\n", - "- `mean_error`: The mean values of the error\n", - "- `std_error`: The standard deviations of the error\n", - "- `mean_te`: The mean values of the transfer efficiency\n", - "- `std_te`: The standard deviations of the transfer efficiency" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It would be convenient if there were a simple function to plot our results. Your wish is my command. We'll use `plot_results` to plot our results using the output of the `run` function and the size of the input data." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fn.plot_results(n_spiral3,n_spiral5,mean_error,std_error,mean_te, std_te)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Results" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for 3-spiral data (bottom left plot)\n", - "\n", - "By plotting the generalization error for 3-spiral data, we can see how the \n", - "introduction of 5-spiral data influenced the performance of both the progressive learning forest and the random forest. \n", - "\n", - "In the bottom left plot, we see that when 5-spiral data is available, the progressive learning forest outperforms random forests." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for 5-spiral data (bottom middle plot)\n", - "\n", - "Similarly, by plotting the generalization error for 5-spiral data, we can also see how the presence of 5-spiral data influenced the performance of both algorithms. \n", - "\n", - "In the bottom middle plot, we see that given 5-spiral data is available, the progressive learning forest outperforms random forests on classifying 5-spiral data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transfer Efficiency for data (bottom right plot)\n", - "\n", - "Given the generalization errors plotted above, we can find the transfer efficiency as a ratio of the generalization error for progressive learning to random forests. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", - "\n", - "Progressive learning forests demonstrate both positive forward and backward transfer in this environment, whereas this is not true for random forests" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Voila! The spiral experiment is complete" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/xor_nxor_exp.ipynb b/docs/tutorials/xor_nxor_exp.ipynb deleted file mode 100644 index bcf6c337ae..0000000000 --- a/docs/tutorials/xor_nxor_exp.ipynb +++ /dev/null @@ -1,278 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Gaussian XOR and Gaussian N-XOR Experiment\n", - "\n", - "One key goal of progressive learning is to be able to continually improve upon past performance with the introduction of new data, without forgetting too much of the past tasks. This transfer of information can be evaluated using a variety of metrics; however, here, we use a generalization of Pearl's transfer-benefit ratio (TBR) in both the forward and backward directions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As described in [Vogelstein, et al. (2020)](https://arxiv.org/pdf/2004.12908.pdf), the forward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", - "\n", - "$$FTE^t (f_n) := \\mathbb{E} [R^t (f^{t}_n )/R^t (f^{1$, the algorithm demonstrates positive forward transfer, i.e. past task data has been used to improve performance on the current task.\n", - "\n", - "Similarly, the backward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", - "\n", - "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{1$, the algorithm demonstrates positive backward transfer, i.e. data from the current task has been used to improve performance on past tasks." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Progressive learning in a simple environment can therefore be demonstrated using two simple tasks: Gaussian XOR and Gaussian Not-XOR (N-XOR). Here, forward transfer efficiency is the ratio of generalization errors for N-XOR, whereas backward transfer efficiency is the ratio of generalization errors for XOR. These two tasks share the same discriminant boundaries, so learning can be easily transferred between them.\n", - "\n", - "This experiment compares the performance of lifelong forests to uncertainty forests in undergoing these tasks." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "import functions.xor_nxor_functions as fn\n", - "from proglearn.sims import generate_gaussian_parity" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Note:** This notebook tutorial uses functions stored externally within `functions/xor_nxor_functions.py`, to simplify presentation of code. These functions are imported above, along with other libraries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Classification Problem\n", - "\n", - "First, let's visualize Gaussian XOR and N-XOR.\n", - "\n", - "Gaussian XOR is a two-class classification problem, where...\n", - "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = I$.\n", - "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = I$.\n", - "\n", - "Gaussian N-XOR has the same distribution as Gaussian XOR, but with the class labels flipped, i.e...\n", - "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = I$.\n", - "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = I$." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Within the proglearn package, we can make use of the simulations within the `sims` folder to generate simulated data. The `generate_gaussian_parity` function within `gaussian_sim.py` can be used to create the Gaussian XOR and N-XOR problems. Let's generate data and plot it to see what these problems look like!" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# call function to return gaussian xor and n-xor data:\n", - "X_xor, y_xor = generate_gaussian_parity(1000)\n", - "X_nxor, y_nxor = generate_gaussian_parity(1000, angle_params=np.pi/2)\n", - "\n", - "X, Y = generate_gaussian_parity(750, angle_params=0)\n", - "Z, W = generate_gaussian_parity(750, angle_params=np.pi/2)\n", - "\n", - "# plot and format:\n", - "fn.plot_xor_nxor(X_xor, y_xor, 'Gaussian XOR')\n", - "fn.plot_xor_nxor(X_nxor, y_nxor, 'Gaussian N-XOR')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Experiment\n", - "\n", - "Now that we have generated the data, we can prepare to run the experiment. The function for running the experiment, `experiment`, can be found within `functions/xor_nxor_functions.py`. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", - "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", - "- `n_test`: number of xor/nxor data points in the test set\n", - "- `n_trees`: number of trees\n", - "- `n_xor`: array containing number of xor data points fed to learner, ranges from 50 to 725 in increments of 25\n", - "- `n_nxor`: array containing number of nxor data points fed to learner, ranges from 50 to 750 in increments of 25" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# define hyperparameters:\n", - "mc_rep = 100 # 1000 in paper experiment\n", - "n_test = 1000 \n", - "n_trees = 10\n", - "n_xor = (100*np.arange(0.5, 7.25, step=0.25)).astype(int)\n", - "n_nxor = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once those are determined, the experiment can be initialized and performed. We iterate over the values in `n_xor` and `n_nxor` sequentially, running each experiment for the number of iterations declared in `mc_rep`." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# running the experiment:\n", - "\n", - "# create empty arrays for storing results\n", - "mean_error = np.zeros((6, len(n_xor)+len(n_nxor)))\n", - "std_error = np.zeros((6, len(n_xor)+len(n_nxor)))\n", - "mean_te = np.zeros((4, len(n_xor)+len(n_nxor)))\n", - "std_te = np.zeros((4, len(n_xor)+len(n_nxor)))\n", - "\n", - "# run the experiment\n", - "mean_error, std_error, mean_te, std_te = fn.run(mc_rep, n_test, n_trees,n_xor,n_nxor, mean_error, std_error, mean_te, std_te);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Great! The experiment should now be complete, with the results stored in four arrays: `mean_error`, `std_error`, `mean_te`, and `std_te`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing the Results\n", - "\n", - "Now that the experiment is complete, the results can be visualized by extracting the data from these arrays and plotting it. \n", - "\n", - "Here, we again utilize functions from `functions/xor_nxor_functions.py` to help in plotting:\n", - "- `plot_error-and-eff`: plots generalization error and transfer efficiency for progressive learning and random forests" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# plot data\n", - "fn.plot_error_and_eff(n_xor, n_nxor, mean_error, mean_te, 'XOR', 'NXOR')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for XOR Data (bottom left plot)\n", - "\n", - "By plotting the generalization error for XOR data, we can see how the \n", - "introduction of N-XOR data influenced the performance of both the progressive learning forest and the random forest. \n", - "\n", - "In the bottom left plot, we see that when N-XOR data is available, the progressive learning forest outperforms random forests." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for N-XOR Data (bottom middle plot)\n", - "\n", - "Similarly, by plotting the generalization error for N-XOR data, we can also see how the presence of XOR data influenced the performance of both algorithms. \n", - "\n", - "In the bottom middle plot, we see that given XOR data is available, the progressive learning forest outperforms random forests on classifying N-XOR data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transfer Efficiency for XOR Data (bottom right plot)\n", - "\n", - "Given the generalization errors plotted above, we can find the transfer efficiency as a ratio of the generalization error for progressive learning to random forests. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", - "\n", - "Progressive learning forests demonstrate both positive forward and backward transfer in this environment" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/tutorials/xor_rxor_exp.ipynb b/docs/tutorials/xor_rxor_exp.ipynb deleted file mode 100644 index 8374115c19..0000000000 --- a/docs/tutorials/xor_rxor_exp.ipynb +++ /dev/null @@ -1,428 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Gaussian XOR and Gaussian R-XOR Experiment\n", - "\n", - "One key goal of progressive learning is to be able to continually improve upon past performance with the introduction of new data, without forgetting too much of the past tasks. This transfer of information can be evaluated using a variety of metrics; however, here, we use a generalization of Pearl's transfer-benefit ratio (TBR) in both the forward and backward directions." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "As described in [Vogelstein, et al. (2020)](https://arxiv.org/pdf/2004.12908.pdf), the forward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", - "\n", - "$$FTE^t (f_n) := \\mathbb{E} [R^t (f^{t}_n )/R^t (f^{1$, the algorithm demonstrates positive forward transfer, i.e. past task data has been used to improve performance on the current task.\n", - "\n", - "Similarly, the backward transfer efficiency of task $f_n$ for task $t$ given $n$ samples is:\n", - "\n", - "$$BTE^t (f_n) := \\mathbb{E} [R^t (f_n^{1$, the algorithm demonstrates positive backward transfer, i.e. data from the current task has been used to improve performance on past tasks." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Progressive learning in a simple environment can therefore be demonstrated using two simple tasks: Gaussian XOR and Gaussian R-XOR. Here, forward transfer efficiency is the ratio of generalization errors for R-XOR, whereas backward transfer efficiency is the ratio of generalization errors for XOR. These two tasks share the same discriminant boundaries, so learning can be easily transferred between them.\n", - "\n", - "This experiment compares the performance of lifelong forests to uncertainty forests in undergoing these tasks." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "import functions.xor_rxor_functions as fn\n", - "from proglearn.sims import generate_gaussian_parity" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Note:** This notebook tutorial uses functions stored externally within `functions/xor_rxor_functions.py`, to simplify presentation of code. These functions are imported above, along with other libraries." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Classification Problem\n", - "\n", - "First, let's visualize Gaussian XOR and R-XOR.\n", - "\n", - "Gaussian XOR is a two-class classification problem, where...\n", - "- Class 0 is drawn from two Gaussians with $\\mu = \\pm [0.5, 0.5]^T$ and $\\sigma^2 = I$.\n", - "- Class 1 is drawn from two Gaussians with $\\mu = \\pm [0.5, -0.5]^T$ and $\\sigma^2 = I$.\n", - "\n", - "Gaussian R-XOR has the same distribution as Gaussian XOR, but with the class labels at a 45 degree angle" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Within the proglearn package, we can make use of the simulations within the `sims` folder to generate simulated data. The `generate_gaussian_parity` function within `gaussian_sim.py` can be used to create the Gaussian XOR and R-XOR problems. Let's generate data and plot it to see what these problems look like!" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# call function to return gaussian xor and r-xor data:\n", - "X_xor, y_xor = generate_gaussian_parity(1000)\n", - "X_rxor, y_rxor = generate_gaussian_parity(1000, angle_params=np.pi/4)\n", - "\n", - "X, Y = generate_gaussian_parity(750, angle_params=0)\n", - "Z, W = generate_gaussian_parity(1000, angle_params=np.pi/4)\n", - "\n", - "# plot and format:\n", - "fn.plot_xor_rxor(X_xor, y_xor, 'Gaussian XOR')\n", - "fn.plot_xor_rxor(X_rxor, y_rxor, 'Gaussian R-XOR')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Experiment\n", - "\n", - "Now that we have generated the data, we can prepare to run the experiment. The function for running the experiment, `experiment`, can be found within `functions/xor_rxor_functions.py`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We first declare the hyperparameters to be used for the experiment, which are as follows:\n", - "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", - "- `n_test`: number of xor/rxor data points in the test set\n", - "- `n_trees`: number of trees\n", - "- `n_xor`: array containing number of xor data points fed to learner, ranges from 50 to 725 in increments of 25\n", - "- `n_rxor`: array containing number of rxor data points fed to learner, ranges from 50 to 750 in increments of 25" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# define hyperparameters:\n", - "mc_rep = 100 # 1000 in paper experiment\n", - "n_test = 1000 \n", - "n_trees = 10\n", - "n_xor = (100*np.arange(0.5, 7.25, step=0.25)).astype(int)\n", - "n_rxor = (100*np.arange(0.5, 7.50, step=0.25)).astype(int)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once those are determined, the experiment can be initialized and performed. We iterate over the values in `n_xor` and `n_rxor` sequentially, running each experiment for the number of iterations declared in `mc_rep`." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# running the experiment:\n", - "\n", - "# create empty arrays for storing results\n", - "mean_error = np.zeros((6, len(n_xor)+len(n_rxor)))\n", - "std_error = np.zeros((6, len(n_xor)+len(n_rxor)))\n", - "mean_te = np.zeros((4, len(n_xor)+len(n_rxor)))\n", - "std_te = np.zeros((4, len(n_xor)+len(n_rxor)))\n", - "\n", - "# run the experiment\n", - "mean_error, std_error, mean_te, std_te = fn.run(mc_rep, n_test, n_trees,n_xor,n_rxor, mean_error, std_error, mean_te, std_te);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Great! The experiment should now be complete, with the results stored in four arrays: `mean_error`, `std_error`, `mean_te`, and `std_te`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing the Results\n", - "\n", - "Now that the experiment is complete, the results can be visualized by extracting the data from these arrays and plotting it. \n", - "\n", - "Here, we again utilize functions from `functions/xor_rxor_functions.py` to help in plotting:\n", - "- `plot_error-and-eff`: plots generalization error and transfer efficiency for progressive learning and random forests" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# plot data\n", - "fn.plot_error_and_eff(n_xor, n_rxor, mean_error, mean_te, 'XOR', 'RXOR')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for XOR Data (bottom left plot)\n", - "\n", - "By plotting the generalization error for XOR data, we can see how the \n", - "introduction of R-XOR data influenced the performance of both the progressive learning forest and the random forest. \n", - "\n", - "In the bottom left plot, we see that when R-XOR data is available, the progressive learning forest outperforms random forests." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Generalization Error for R-XOR Data (bottom middle plot)\n", - "\n", - "Similarly, by plotting the generalization error for R-XOR data, we can also see how the presence of XOR data influenced the performance of both algorithms. \n", - "\n", - "In the bottom middle plot, we see that given XOR data is available, the progressive learning forest outperforms random forests on classifying R-XOR data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Transfer Efficiency for XOR Data (bottom right plot)\n", - "\n", - "Given the generalization errors plotted above, we can find the transfer efficiency as a ratio of the generalization error for progressive learning to random forests. The forward and backward transfer efficiencies are then plotted in the bottom right plot.\n", - "\n", - "Progressive learning forests demonstrate both positive forward and backward transfer in this environment" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Various Angles vs BTE" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we'll set the variables we'll use:\n", - "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", - "- `angle_sweep`: angles to test\n", - "- `task1_sample`: number of task 1 samples\n", - "- `task2_sample`: number of task 2 samples" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "angle_sweep = range(0,90,1)\n", - "task1_sample = 100\n", - "task2_sample = 100\n", - "mc_rep = 100" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we'll run the experiment:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "mean_te = fn.bte_v_angle(angle_sweep, task1_sample, task2_sample, mc_rep)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Lastly, plot the results:" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fn.plot_bte_v_angle(mean_te)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Number of training samples vs BTE" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we'll set the variables we'll use:\n", - "- `mc_rep`: number of repetitions to run the progressive learning algorithm for\n", - "- `task2_sample_sweep`: list of the number of samples to test\n", - "- `task1_sample`: number of task 1 samples\n", - "- `task2_angle`: fixed angle of the task 2 data" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "task2_sample_sweep = (2**np.arange(np.log2(60), np.log2(5010)+1, .25)).astype('int')\n", - "task1_sample = 500\n", - "task2_angle = 25*np.pi/180\n", - "mc_rep = 100" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, run the experiment:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "mean_te = fn.bte_v_nsamples(task2_sample_sweep, task1_sample, task2_angle, mc_rep)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Lastly, plot the results:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fn.plot_bte_v_nsamples(mean_te)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/proglearn/__init__.py b/proglearn/__init__.py index 6b068b4b47..c2221e96e4 100755 --- a/proglearn/__init__.py +++ b/proglearn/__init__.py @@ -1,4 +1,9 @@ from .forest import * from .network import * -__version__ = "0.0.4" +__version__ = "0.0.5" +__all__ = [ + "LifelongClassificationForest", + "LifelongClassificationNetwork", + "UncertaintyForest", +] diff --git a/proglearn/progressive_learner.py b/proglearn/progressive_learner.py index 4bfecc7f9c..ff853ccce2 100755 --- a/proglearn/progressive_learner.py +++ b/proglearn/progressive_learner.py @@ -36,6 +36,7 @@ class ProgressiveLearner(BaseProgressiveLearner): The class of decider to which the progressive learner defaults if None is provided in any of the functions which add or set deciders. + default_decider_kwargs : dict, default=None A dictionary with keys of type string and values of type obj corresponding to the given string kwarg. This determines to which type of decider the diff --git a/proglearn/transformers.py b/proglearn/transformers.py index d1eb6199a3..7fe592fd88 100644 --- a/proglearn/transformers.py +++ b/proglearn/transformers.py @@ -91,7 +91,6 @@ def fit(self, X, y): self : NeuralClassificationTransformer The object itself. """ - check_X_y(X, y) _, y = np.unique(y, return_inverse=True) # more typechecking @@ -123,7 +122,6 @@ def transform(self, X): When the model is not fitted. """ check_is_fitted(self) - check_array(X) return self.encoder_.predict(X) diff --git a/setup.py b/setup.py index 2dca116449..1fcd9a6db5 100644 --- a/setup.py +++ b/setup.py @@ -7,10 +7,10 @@ if line.startswith("__version__ = "): VERSION = line.strip().split()[2][1:-1] -with open("README.md", mode="r", encoding = "utf8") as f: +with open("README.md", mode="r", encoding="utf8") as f: LONG_DESCRIPTION = f.read() -with open("requirements.txt", mode="r", encoding = "utf8") as f: +with open("requirements.txt", mode="r", encoding="utf8") as f: REQUIREMENTS = f.read() setup( @@ -18,9 +18,9 @@ version=VERSION, author="Will LeVine, Jayanta Dey, Hayden Helm", author_email="levinewill@icloud.com", - maintainer="Will LeVine, Jayanta Dey", + maintainer="Jayanta Dey, Haoyin Xu", maintainer_email="jdey4@jhmi.edu", - description="A package to implement and extend the methods desribed in 'A General Approach to Progressive Learning'", + description="A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'", long_description=LONG_DESCRIPTION, long_description_content_type="text/markdown", url="https://github.com/neurodata/ProgLearn/", @@ -32,9 +32,9 @@ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8" + "Programming Language :: Python :: 3.8", ], install_requires=REQUIREMENTS, packages=find_packages(exclude=["tests", "tests.*", "tests/*"]), - include_package_data=True + include_package_data=True, )